From 264416d8decbf6c3f245779ad8e487d2b6698a5d Mon Sep 17 00:00:00 2001 From: Hussein Mahfouz <45176416+Hussein-Mahfouz@users.noreply.github.com> Date: Fri, 17 May 2024 17:11:36 +0100 Subject: [PATCH] maps for education trips --- notebooks/3_locations_primary.ipynb | 22215 ++------------------------ 1 file changed, 917 insertions(+), 21298 deletions(-) diff --git a/notebooks/3_locations_primary.ipynb b/notebooks/3_locations_primary.ipynb index a514f52..db98923 100644 --- a/notebooks/3_locations_primary.ipynb +++ b/notebooks/3_locations_primary.ipynb @@ -42,6 +42,7 @@ " fill_missing_zones,\n", " get_activities_per_zone,\n", " get_possible_zones,\n", + " select_activity,\n", " select_zone,\n", " zones_to_time_matrix,\n", ")" @@ -8544,7 +8545,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 24, @@ -9211,16 +9212,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 37, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "139 : {'E00059039': ['E00058997', 'E00059036']}\n", + "149 : {'E00059039': ['E00058997', 'E00059036']}\n", + "256 : {'E00059039': ['E00056922', 'E00056923', 'E00056932', 'E00056943', 'E00056949', 'E00056957', 'E00056960', 'E00056962', 'E00056972', 'E00056975', 'E00056981', 'E00056985', 'E00057131', 'E00057142', 'E00057198', 'E00057207', 'E00057231', 'E00057234', 'E00057245', 'E00057341', 'E00057367', 'E00057377', 'E00057393', 'E00057411', 'E00057432', 'E00057434', 'E00057448', 'E00057452', 'E00057460', 'E00057475', 'E00057477', 'E00057486', 'E00057488', 'E00057489', 'E00057498', 'E00057505', 'E00057539', 'E00057541', 'E00057544', 'E00057545', 'E00057552', 'E00057570', 'E00057582', 'E00057587', 'E00057598', 'E00057604', 'E00057767', 'E00057827', 'E00057987', 'E00057992', 'E00057996', 'E00058000', 'E00058021', 'E00058023', 'E00058024', 'E00058027', 'E00058029', 'E00058238', 'E00058246', 'E00058253', 'E00058256', 'E00058257', 'E00058260', 'E00058290', 'E00058303', 'E00058322', 'E00058348', 'E00058352', 'E00058386', 'E00058543', 'E00058550', 'E00058561', 'E00058563', 'E00058619', 'E00058653', 'E00058659', 'E00058661', 'E00058671', 'E00058672', 'E00058692', 'E00058697', 'E00058698', 'E00058713', 'E00058724', 'E00058739', 'E00058750', 'E00058754', 'E00058769', 'E00058792', 'E00058911', 'E00058912', 'E00058919', 'E00058926', 'E00058932', 'E00058937', 'E00058941', 'E00058951', 'E00059057', 'E00059058', 'E00059061', 'E00059071', 'E00059076', 'E00059085', 'E00059104', 'E00169583', 'E00169589', 'E00169597', 'E00169738', 'E00169740', 'E00170581', 'E00170601', 'E00187025', 'E00187044', 'E00187078']}\n", + "257 : {'E00059039': ['E00056960', 'E00056972', 'E00056975', 'E00057411', 'E00057432', 'E00057434', 'E00057448', 'E00057552', 'E00058253', 'E00058256', 'E00058257', 'E00058290', 'E00058294', 'E00058296', 'E00058303', 'E00058386', 'E00058739', 'E00058967', 'E00058990', 'E00058991']}\n", + "264 : {'E00059039': ['E00056960', 'E00056972', 'E00056975', 'E00057411', 'E00057432', 'E00057434', 'E00057448', 'E00057552', 'E00058253', 'E00058256', 'E00058257', 'E00058290', 'E00058294', 'E00058296', 'E00058303', 'E00058386', 'E00058739', 'E00058967', 'E00058990', 'E00058991']}\n", + "266 : {'E00059039': ['E00056922', 'E00056923', 'E00056932', 'E00056943', 'E00056949', 'E00056957', 'E00056960', 'E00056962', 'E00056972', 'E00056975', 'E00056981', 'E00056985', 'E00057131', 'E00057142', 'E00057198', 'E00057207', 'E00057231', 'E00057234', 'E00057245', 'E00057341', 'E00057367', 'E00057377', 'E00057393', 'E00057411', 'E00057432', 'E00057434', 'E00057448', 'E00057452', 'E00057460', 'E00057475', 'E00057477', 'E00057486', 'E00057488', 'E00057489', 'E00057498', 'E00057505', 'E00057539', 'E00057541', 'E00057544', 'E00057545', 'E00057552', 'E00057570', 'E00057582', 'E00057587', 'E00057598', 'E00057604', 'E00057767', 'E00057827', 'E00057987', 'E00057992', 'E00057996', 'E00058000', 'E00058021', 'E00058023', 'E00058024', 'E00058027', 'E00058029', 'E00058238', 'E00058246', 'E00058253', 'E00058256', 'E00058257', 'E00058260', 'E00058290', 'E00058303', 'E00058322', 'E00058348', 'E00058352', 'E00058386', 'E00058543', 'E00058550', 'E00058561', 'E00058563', 'E00058619', 'E00058653', 'E00058659', 'E00058661', 'E00058671', 'E00058672', 'E00058692', 'E00058697', 'E00058698', 'E00058713', 'E00058724', 'E00058739', 'E00058750', 'E00058754', 'E00058769', 'E00058792', 'E00058911', 'E00058912', 'E00058919', 'E00058926', 'E00058932', 'E00058937', 'E00058941', 'E00058951', 'E00059057', 'E00059058', 'E00059061', 'E00059071', 'E00059076', 'E00059085', 'E00059104', 'E00169583', 'E00169589', 'E00169597', 'E00169738', 'E00169740', 'E00170581', 'E00170601', 'E00187025', 'E00187044', 'E00187078']}\n", + "267 : {'E00059039': ['E00056922', 'E00056923', 'E00056932', 'E00056943', 'E00056949', 'E00056957', 'E00056960', 'E00056962', 'E00056972', 'E00056975', 'E00056981', 'E00056985', 'E00057131', 'E00057142', 'E00057198', 'E00057207', 'E00057231', 'E00057234', 'E00057245', 'E00057341', 'E00057367', 'E00057377', 'E00057393', 'E00057411', 'E00057432', 'E00057434', 'E00057448', 'E00057452', 'E00057460', 'E00057475', 'E00057477', 'E00057486', 'E00057488', 'E00057489', 'E00057498', 'E00057505', 'E00057539', 'E00057541', 'E00057544', 'E00057545', 'E00057552', 'E00057570', 'E00057582', 'E00057587', 'E00057598', 'E00057604', 'E00057767', 'E00057827', 'E00057987', 'E00057992', 'E00057996', 'E00058000', 'E00058021', 'E00058023', 'E00058024', 'E00058027', 'E00058029', 'E00058238', 'E00058246', 'E00058253', 'E00058256', 'E00058257', 'E00058260', 'E00058290', 'E00058303', 'E00058322', 'E00058348', 'E00058352', 'E00058386', 'E00058543', 'E00058550', 'E00058561', 'E00058563', 'E00058619', 'E00058653', 'E00058659', 'E00058661', 'E00058671', 'E00058672', 'E00058692', 'E00058697', 'E00058698', 'E00058713', 'E00058724', 'E00058739', 'E00058750', 'E00058754', 'E00058769', 'E00058792', 'E00058911', 'E00058912', 'E00058919', 'E00058926', 'E00058932', 'E00058937', 'E00058941', 'E00058951', 'E00059057', 'E00059058', 'E00059061', 'E00059071', 'E00059076', 'E00059085', 'E00059104', 'E00169583', 'E00169589', 'E00169597', 'E00169738', 'E00169740', 'E00170581', 'E00170601', 'E00187025', 'E00187044', 'E00187078']}\n", + "377 : {'E00059011': ['E00056972', 'E00057411', 'E00057432', 'E00058294', 'E00058296', 'E00058739', 'E00058961', 'E00058967', 'E00058990', 'E00058991']}\n", + "379 : {'E00059011': ['E00056972', 'E00057411', 'E00057432', 'E00058294', 'E00058296', 'E00058739', 'E00058961', 'E00058967', 'E00058990', 'E00058991']}\n", + "381 : {'E00059011': ['E00056972', 'E00057411', 'E00057432', 'E00058294', 'E00058296', 'E00058739', 'E00058961', 'E00058967', 'E00058990', 'E00058991']}\n" + ] + } + ], "source": [ - "possible_zones_school" + "# Output is a nested dictionary\n", + "for key in list(possible_zones_school.keys())[:10]:\n", + " print(key, ' : ', possible_zones_school[key])" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -9257,20280 +9277,28 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Apply the function to all rows in activity_chains_example\n", + "activity_chains_edu['dzone'] = activity_chains_edu.apply(\n", + " lambda row: select_zone(\n", + " row=row,\n", + " possible_zones = possible_zones_school,\n", + " activities_per_zone = activities_per_zone,\n", + " weighting = \"floor_area\",\n", + " zone_id_col = \"OA21CD\"\n", + " ),\n", + " axis=1\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-05-14 18:29:17,601 - acbm.assigning - DEBUG - Activity 139: Initial number of options for activity = 2\n", - "2024-05-14 18:29:17,604 - acbm.assigning - DEBUG - Activity 139: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:17,605 - acbm.assigning - DEBUG - Activity 139: sampling based on floor area\n", - "2024-05-14 18:29:17,606 - acbm.assigning - DEBUG - Activity 149: Initial number of options for activity = 2\n", - "2024-05-14 18:29:17,607 - acbm.assigning - DEBUG - Activity 149: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:17,608 - acbm.assigning - DEBUG - Activity 149: sampling based on floor area\n", - "2024-05-14 18:29:17,610 - acbm.assigning - DEBUG - Activity 184: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,612 - acbm.assigning - DEBUG - Activity 184: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,613 - acbm.assigning - DEBUG - Activity 184: sampling based on floor area\n", - "2024-05-14 18:29:17,614 - acbm.assigning - DEBUG - Activity 256: Initial number of options for activity = 114\n", - "2024-05-14 18:29:17,617 - acbm.assigning - DEBUG - Activity 256: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:17,618 - acbm.assigning - DEBUG - Activity 256: sampling based on floor area\n", - "2024-05-14 18:29:17,620 - acbm.assigning - DEBUG - Activity 257: Initial number of options for activity = 20\n", - "2024-05-14 18:29:17,623 - acbm.assigning - DEBUG - Activity 257: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:17,623 - acbm.assigning - DEBUG - Activity 257: sampling based on floor area\n", - "2024-05-14 18:29:17,625 - acbm.assigning - DEBUG - Activity 264: Initial number of options for activity = 20\n", - "2024-05-14 18:29:17,627 - acbm.assigning - DEBUG - Activity 264: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:17,628 - acbm.assigning - DEBUG - Activity 264: sampling based on floor area\n", - "2024-05-14 18:29:17,629 - acbm.assigning - DEBUG - Activity 266: Initial number of options for activity = 114\n", - "2024-05-14 18:29:17,632 - acbm.assigning - DEBUG - Activity 266: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:17,633 - acbm.assigning - DEBUG - Activity 266: sampling based on floor area\n", - "2024-05-14 18:29:17,635 - acbm.assigning - DEBUG - Activity 267: Initial number of options for activity = 114\n", - "2024-05-14 18:29:17,637 - acbm.assigning - DEBUG - Activity 267: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:17,638 - acbm.assigning - DEBUG - Activity 267: sampling based on floor area\n", - "2024-05-14 18:29:17,640 - acbm.assigning - DEBUG - Activity 377: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,642 - acbm.assigning - DEBUG - Activity 377: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,643 - acbm.assigning - DEBUG - Activity 377: sampling based on floor area\n", - "2024-05-14 18:29:17,644 - acbm.assigning - DEBUG - Activity 379: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,646 - acbm.assigning - DEBUG - Activity 379: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,647 - acbm.assigning - DEBUG - Activity 379: sampling based on floor area\n", - "2024-05-14 18:29:17,648 - acbm.assigning - DEBUG - Activity 381: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,651 - acbm.assigning - DEBUG - Activity 381: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,652 - acbm.assigning - DEBUG - Activity 381: sampling based on floor area\n", - "2024-05-14 18:29:17,654 - acbm.assigning - DEBUG - Activity 383: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,657 - acbm.assigning - DEBUG - Activity 383: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,658 - acbm.assigning - DEBUG - Activity 383: sampling based on floor area\n", - "2024-05-14 18:29:17,660 - acbm.assigning - INFO - Activity 575: No zones available\n", - "2024-05-14 18:29:17,661 - acbm.assigning - INFO - Activity 577: No zones available\n", - "2024-05-14 18:29:17,662 - acbm.assigning - INFO - Activity 601: No zones available\n", - "2024-05-14 18:29:17,663 - acbm.assigning - INFO - Activity 605: No zones available\n", - "2024-05-14 18:29:17,663 - acbm.assigning - INFO - Activity 616: No zones available\n", - "2024-05-14 18:29:17,664 - acbm.assigning - INFO - Activity 618: No zones available\n", - "2024-05-14 18:29:17,665 - acbm.assigning - INFO - Activity 620: No zones available\n", - "2024-05-14 18:29:17,666 - acbm.assigning - DEBUG - Activity 802: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,668 - acbm.assigning - DEBUG - Activity 802: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,669 - acbm.assigning - DEBUG - Activity 802: sampling based on floor area\n", - "2024-05-14 18:29:17,671 - acbm.assigning - DEBUG - Activity 804: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,674 - acbm.assigning - DEBUG - Activity 804: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,675 - acbm.assigning - DEBUG - Activity 804: sampling based on floor area\n", - "2024-05-14 18:29:17,676 - acbm.assigning - DEBUG - Activity 808: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,679 - acbm.assigning - DEBUG - Activity 808: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,680 - acbm.assigning - DEBUG - Activity 808: sampling based on floor area\n", - "2024-05-14 18:29:17,681 - acbm.assigning - DEBUG - Activity 810: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,683 - acbm.assigning - DEBUG - Activity 810: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,684 - acbm.assigning - DEBUG - Activity 810: sampling based on floor area\n", - "2024-05-14 18:29:17,686 - acbm.assigning - DEBUG - Activity 812: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,688 - acbm.assigning - DEBUG - Activity 812: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,690 - acbm.assigning - DEBUG - Activity 812: sampling based on floor area\n", - "2024-05-14 18:29:17,692 - acbm.assigning - INFO - Activity 1669: No zones available\n", - "2024-05-14 18:29:17,693 - acbm.assigning - DEBUG - Activity 1699: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,696 - acbm.assigning - DEBUG - Activity 1699: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,698 - acbm.assigning - DEBUG - Activity 1699: sampling based on floor area\n", - "2024-05-14 18:29:17,699 - acbm.assigning - DEBUG - Activity 1701: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,702 - acbm.assigning - DEBUG - Activity 1701: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,702 - acbm.assigning - DEBUG - Activity 1701: sampling based on floor area\n", - "2024-05-14 18:29:17,704 - acbm.assigning - DEBUG - Activity 1705: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,707 - acbm.assigning - DEBUG - Activity 1705: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,708 - acbm.assigning - DEBUG - Activity 1705: sampling based on floor area\n", - "2024-05-14 18:29:17,709 - acbm.assigning - DEBUG - Activity 1707: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,711 - acbm.assigning - DEBUG - Activity 1707: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,712 - acbm.assigning - DEBUG - Activity 1707: sampling based on floor area\n", - "2024-05-14 18:29:17,714 - acbm.assigning - DEBUG - Activity 1709: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,716 - acbm.assigning - DEBUG - Activity 1709: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,734 - acbm.assigning - DEBUG - Activity 1709: sampling based on floor area\n", - "2024-05-14 18:29:17,737 - acbm.assigning - DEBUG - Activity 1813: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,740 - acbm.assigning - DEBUG - Activity 1813: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,741 - acbm.assigning - DEBUG - Activity 1813: sampling based on floor area\n", - "2024-05-14 18:29:17,743 - acbm.assigning - DEBUG - Activity 1815: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,746 - acbm.assigning - DEBUG - Activity 1815: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,748 - acbm.assigning - DEBUG - Activity 1815: sampling based on floor area\n", - "2024-05-14 18:29:17,750 - acbm.assigning - DEBUG - Activity 1817: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,753 - acbm.assigning - DEBUG - Activity 1817: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,754 - acbm.assigning - DEBUG - Activity 1817: sampling based on floor area\n", - "2024-05-14 18:29:17,757 - acbm.assigning - DEBUG - Activity 1819: Initial number of options for activity = 20\n", - "2024-05-14 18:29:17,760 - acbm.assigning - DEBUG - Activity 1819: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:17,762 - acbm.assigning - DEBUG - Activity 1819: sampling based on floor area\n", - "2024-05-14 18:29:17,764 - acbm.assigning - DEBUG - Activity 1948: Initial number of options for activity = 8\n", - "2024-05-14 18:29:17,767 - acbm.assigning - DEBUG - Activity 1948: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:17,769 - acbm.assigning - DEBUG - Activity 1948: sampling based on floor area\n", - "2024-05-14 18:29:17,771 - acbm.assigning - DEBUG - Activity 1952: Initial number of options for activity = 4\n", - "2024-05-14 18:29:17,774 - acbm.assigning - DEBUG - Activity 1952: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:17,775 - acbm.assigning - DEBUG - Activity 1952: sampling based on floor area\n", - "2024-05-14 18:29:17,777 - acbm.assigning - DEBUG - Activity 1954: Initial number of options for activity = 2\n", - "2024-05-14 18:29:17,780 - acbm.assigning - DEBUG - Activity 1954: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:17,782 - acbm.assigning - DEBUG - Activity 1954: sampling based on floor area\n", - "2024-05-14 18:29:17,784 - acbm.assigning - DEBUG - Activity 1956: Initial number of options for activity = 4\n", - "2024-05-14 18:29:17,787 - acbm.assigning - DEBUG - Activity 1956: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:17,789 - acbm.assigning - DEBUG - Activity 1956: sampling based on floor area\n", - "2024-05-14 18:29:17,791 - acbm.assigning - DEBUG - Activity 1958: Initial number of options for activity = 4\n", - "2024-05-14 18:29:17,794 - acbm.assigning - DEBUG - Activity 1958: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:17,796 - acbm.assigning - DEBUG - Activity 1958: sampling based on floor area\n", - "2024-05-14 18:29:17,798 - acbm.assigning - DEBUG - Activity 2078: Initial number of options for activity = 43\n", - "2024-05-14 18:29:17,801 - acbm.assigning - DEBUG - Activity 2078: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:17,803 - acbm.assigning - DEBUG - Activity 2078: sampling based on floor area\n", - "2024-05-14 18:29:17,805 - acbm.assigning - DEBUG - Activity 2080: Initial number of options for activity = 43\n", - "2024-05-14 18:29:17,809 - acbm.assigning - DEBUG - Activity 2080: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:17,811 - acbm.assigning - DEBUG - Activity 2080: sampling based on floor area\n", - "2024-05-14 18:29:17,813 - acbm.assigning - DEBUG - Activity 2082: Initial number of options for activity = 79\n", - "2024-05-14 18:29:17,821 - acbm.assigning - DEBUG - Activity 2082: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:17,824 - acbm.assigning - DEBUG - Activity 2082: sampling based on floor area\n", - "2024-05-14 18:29:17,825 - acbm.assigning - DEBUG - Activity 2084: Initial number of options for activity = 43\n", - "2024-05-14 18:29:17,829 - acbm.assigning - DEBUG - Activity 2084: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:17,830 - acbm.assigning - DEBUG - Activity 2084: sampling based on floor area\n", - "2024-05-14 18:29:17,832 - acbm.assigning - DEBUG - Activity 2639: Initial number of options for activity = 3\n", - "2024-05-14 18:29:17,835 - acbm.assigning - DEBUG - Activity 2639: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:17,836 - acbm.assigning - DEBUG - Activity 2639: sampling based on floor area\n", - "2024-05-14 18:29:17,838 - acbm.assigning - DEBUG - Activity 2640: Initial number of options for activity = 5\n", - "2024-05-14 18:29:17,841 - acbm.assigning - DEBUG - Activity 2640: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:17,842 - acbm.assigning - DEBUG - Activity 2640: sampling based on floor area\n", - "2024-05-14 18:29:17,844 - acbm.assigning - DEBUG - Activity 2644: Initial number of options for activity = 3\n", - "2024-05-14 18:29:17,847 - acbm.assigning - DEBUG - Activity 2644: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:17,849 - acbm.assigning - DEBUG - Activity 2644: sampling based on floor area\n", - "2024-05-14 18:29:17,850 - acbm.assigning - DEBUG - Activity 2645: Initial number of options for activity = 3\n", - "2024-05-14 18:29:17,854 - acbm.assigning - DEBUG - Activity 2645: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:17,855 - acbm.assigning - DEBUG - Activity 2645: sampling based on floor area\n", - "2024-05-14 18:29:17,858 - acbm.assigning - DEBUG - Activity 2647: Initial number of options for activity = 5\n", - "2024-05-14 18:29:17,861 - acbm.assigning - DEBUG - Activity 2647: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:17,863 - acbm.assigning - DEBUG - Activity 2647: sampling based on floor area\n", - "2024-05-14 18:29:17,864 - acbm.assigning - DEBUG - Activity 2803: Initial number of options for activity = 8\n", - "2024-05-14 18:29:17,868 - acbm.assigning - DEBUG - Activity 2803: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:17,869 - acbm.assigning - DEBUG - Activity 2803: sampling based on floor area\n", - "2024-05-14 18:29:17,870 - acbm.assigning - DEBUG - Activity 2804: Initial number of options for activity = 8\n", - "2024-05-14 18:29:17,873 - acbm.assigning - DEBUG - Activity 2804: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:17,874 - acbm.assigning - DEBUG - Activity 2804: sampling based on floor area\n", - "2024-05-14 18:29:17,875 - acbm.assigning - DEBUG - Activity 2845: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,877 - acbm.assigning - DEBUG - Activity 2845: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,878 - acbm.assigning - DEBUG - Activity 2845: sampling based on floor area\n", - "2024-05-14 18:29:17,880 - acbm.assigning - DEBUG - Activity 2848: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,881 - acbm.assigning - DEBUG - Activity 2848: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,882 - acbm.assigning - DEBUG - Activity 2848: sampling based on floor area\n", - "2024-05-14 18:29:17,884 - acbm.assigning - DEBUG - Activity 2850: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,886 - acbm.assigning - DEBUG - Activity 2850: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,887 - acbm.assigning - DEBUG - Activity 2850: sampling based on floor area\n", - "2024-05-14 18:29:17,889 - acbm.assigning - DEBUG - Activity 2852: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,892 - acbm.assigning - DEBUG - Activity 2852: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,893 - acbm.assigning - DEBUG - Activity 2852: sampling based on floor area\n", - "2024-05-14 18:29:17,895 - acbm.assigning - DEBUG - Activity 2853: Initial number of options for activity = 12\n", - "2024-05-14 18:29:17,899 - acbm.assigning - DEBUG - Activity 2853: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:17,900 - acbm.assigning - DEBUG - Activity 2853: sampling based on floor area\n", - "2024-05-14 18:29:17,902 - acbm.assigning - DEBUG - Activity 2906: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,905 - acbm.assigning - DEBUG - Activity 2906: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,906 - acbm.assigning - DEBUG - Activity 2906: sampling based on floor area\n", - "2024-05-14 18:29:17,909 - acbm.assigning - DEBUG - Activity 2908: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,911 - acbm.assigning - DEBUG - Activity 2908: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,912 - acbm.assigning - DEBUG - Activity 2908: sampling based on floor area\n", - "2024-05-14 18:29:17,914 - acbm.assigning - DEBUG - Activity 2910: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,915 - acbm.assigning - DEBUG - Activity 2910: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,916 - acbm.assigning - DEBUG - Activity 2910: sampling based on floor area\n", - "2024-05-14 18:29:17,918 - acbm.assigning - DEBUG - Activity 2912: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,920 - acbm.assigning - DEBUG - Activity 2912: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,921 - acbm.assigning - DEBUG - Activity 2912: sampling based on floor area\n", - "2024-05-14 18:29:17,923 - acbm.assigning - DEBUG - Activity 2914: Initial number of options for activity = 1\n", - "2024-05-14 18:29:17,925 - acbm.assigning - DEBUG - Activity 2914: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:17,926 - acbm.assigning - DEBUG - Activity 2914: sampling based on floor area\n", - "2024-05-14 18:29:17,927 - acbm.assigning - DEBUG - Activity 2947: Initial number of options for activity = 3\n", - "2024-05-14 18:29:17,930 - acbm.assigning - DEBUG - Activity 2947: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:17,930 - acbm.assigning - DEBUG - Activity 2947: sampling based on floor area\n", - "2024-05-14 18:29:17,931 - acbm.assigning - DEBUG - Activity 2948: Initial number of options for activity = 8\n", - "2024-05-14 18:29:17,933 - acbm.assigning - DEBUG - Activity 2948: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:17,934 - acbm.assigning - DEBUG - Activity 2948: sampling based on floor area\n", - "2024-05-14 18:29:17,936 - acbm.assigning - DEBUG - Activity 2952: Initial number of options for activity = 7\n", - "2024-05-14 18:29:17,940 - acbm.assigning - DEBUG - Activity 2952: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:17,941 - acbm.assigning - DEBUG - Activity 2952: sampling based on floor area\n", - "2024-05-14 18:29:17,943 - acbm.assigning - DEBUG - Activity 2953: Initial number of options for activity = 7\n", - "2024-05-14 18:29:17,947 - acbm.assigning - DEBUG - Activity 2953: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:17,948 - acbm.assigning - DEBUG - Activity 2953: sampling based on floor area\n", - "2024-05-14 18:29:17,950 - acbm.assigning - DEBUG - Activity 2955: Initial number of options for activity = 8\n", - "2024-05-14 18:29:17,953 - acbm.assigning - DEBUG - Activity 2955: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:17,954 - acbm.assigning - DEBUG - Activity 2955: sampling based on floor area\n", - "2024-05-14 18:29:17,956 - acbm.assigning - DEBUG - Activity 3072: Initial number of options for activity = 9\n", - "2024-05-14 18:29:17,959 - acbm.assigning - DEBUG - Activity 3072: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:17,960 - acbm.assigning - DEBUG - Activity 3072: sampling based on floor area\n", - "2024-05-14 18:29:17,962 - acbm.assigning - DEBUG - Activity 3078: Initial number of options for activity = 7\n", - "2024-05-14 18:29:17,965 - acbm.assigning - DEBUG - Activity 3078: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:17,966 - acbm.assigning - DEBUG - Activity 3078: sampling based on floor area\n", - "2024-05-14 18:29:17,968 - acbm.assigning - DEBUG - Activity 3082: Initial number of options for activity = 6\n", - "2024-05-14 18:29:17,972 - acbm.assigning - DEBUG - Activity 3082: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:17,973 - acbm.assigning - DEBUG - Activity 3082: sampling based on floor area\n", - "2024-05-14 18:29:17,975 - acbm.assigning - DEBUG - Activity 3084: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,978 - acbm.assigning - DEBUG - Activity 3084: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,979 - acbm.assigning - DEBUG - Activity 3084: sampling based on floor area\n", - "2024-05-14 18:29:17,981 - acbm.assigning - DEBUG - Activity 3086: Initial number of options for activity = 10\n", - "2024-05-14 18:29:17,984 - acbm.assigning - DEBUG - Activity 3086: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:17,986 - acbm.assigning - DEBUG - Activity 3086: sampling based on floor area\n", - "2024-05-14 18:29:17,988 - acbm.assigning - DEBUG - Activity 3088: Initial number of options for activity = 11\n", - "2024-05-14 18:29:17,991 - acbm.assigning - DEBUG - Activity 3088: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:17,992 - acbm.assigning - DEBUG - Activity 3088: sampling based on floor area\n", - "2024-05-14 18:29:17,994 - acbm.assigning - DEBUG - Activity 3091: Initial number of options for activity = 11\n", - "2024-05-14 18:29:17,996 - acbm.assigning - DEBUG - Activity 3091: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:17,997 - acbm.assigning - DEBUG - Activity 3091: sampling based on floor area\n", - "2024-05-14 18:29:17,999 - acbm.assigning - DEBUG - Activity 3093: Initial number of options for activity = 233\n", - "2024-05-14 18:29:18,001 - acbm.assigning - DEBUG - Activity 3093: Number of options after filtering by education type: 233\n", - "2024-05-14 18:29:18,002 - acbm.assigning - DEBUG - Activity 3093: sampling based on floor area\n", - "2024-05-14 18:29:18,004 - acbm.assigning - DEBUG - Activity 3097: Initial number of options for activity = 10\n", - "2024-05-14 18:29:18,007 - acbm.assigning - DEBUG - Activity 3097: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:18,008 - acbm.assigning - DEBUG - Activity 3097: sampling based on floor area\n", - "2024-05-14 18:29:18,009 - acbm.assigning - DEBUG - Activity 3099: Initial number of options for activity = 233\n", - "2024-05-14 18:29:18,011 - acbm.assigning - DEBUG - Activity 3099: Number of options after filtering by education type: 233\n", - "2024-05-14 18:29:18,012 - acbm.assigning - DEBUG - Activity 3099: sampling based on floor area\n", - "2024-05-14 18:29:18,014 - acbm.assigning - DEBUG - Activity 3101: Initial number of options for activity = 233\n", - "2024-05-14 18:29:18,016 - acbm.assigning - DEBUG - Activity 3101: Number of options after filtering by education type: 233\n", - "2024-05-14 18:29:18,016 - acbm.assigning - DEBUG - Activity 3101: sampling based on floor area\n", - "2024-05-14 18:29:18,017 - acbm.assigning - DEBUG - Activity 3223: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,019 - acbm.assigning - DEBUG - Activity 3223: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,021 - acbm.assigning - DEBUG - Activity 3223: sampling based on floor area\n", - "2024-05-14 18:29:18,022 - acbm.assigning - DEBUG - Activity 3225: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,024 - acbm.assigning - DEBUG - Activity 3225: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,025 - acbm.assigning - DEBUG - Activity 3225: sampling based on floor area\n", - "2024-05-14 18:29:18,027 - acbm.assigning - DEBUG - Activity 3227: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,028 - acbm.assigning - DEBUG - Activity 3227: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,029 - acbm.assigning - DEBUG - Activity 3227: sampling based on floor area\n", - "2024-05-14 18:29:18,030 - acbm.assigning - DEBUG - Activity 3229: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,032 - acbm.assigning - DEBUG - Activity 3229: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,033 - acbm.assigning - DEBUG - Activity 3229: sampling based on floor area\n", - "2024-05-14 18:29:18,034 - acbm.assigning - DEBUG - Activity 3231: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,036 - acbm.assigning - DEBUG - Activity 3231: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,037 - acbm.assigning - DEBUG - Activity 3231: sampling based on floor area\n", - "2024-05-14 18:29:18,039 - acbm.assigning - DEBUG - Activity 3300: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,041 - acbm.assigning - DEBUG - Activity 3300: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,042 - acbm.assigning - DEBUG - Activity 3300: sampling based on floor area\n", - "2024-05-14 18:29:18,043 - acbm.assigning - DEBUG - Activity 3401: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,044 - acbm.assigning - DEBUG - Activity 3401: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,045 - acbm.assigning - DEBUG - Activity 3401: sampling based on floor area\n", - "2024-05-14 18:29:18,047 - acbm.assigning - DEBUG - Activity 3405: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,049 - acbm.assigning - DEBUG - Activity 3405: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,050 - acbm.assigning - DEBUG - Activity 3405: sampling based on floor area\n", - "2024-05-14 18:29:18,052 - acbm.assigning - DEBUG - Activity 3407: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,055 - acbm.assigning - DEBUG - Activity 3407: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,056 - acbm.assigning - DEBUG - Activity 3407: sampling based on floor area\n", - "2024-05-14 18:29:18,058 - acbm.assigning - DEBUG - Activity 3413: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,060 - acbm.assigning - DEBUG - Activity 3413: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,061 - acbm.assigning - DEBUG - Activity 3413: sampling based on floor area\n", - "2024-05-14 18:29:18,062 - acbm.assigning - DEBUG - Activity 3416: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,064 - acbm.assigning - DEBUG - Activity 3416: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,066 - acbm.assigning - DEBUG - Activity 3416: sampling based on floor area\n", - "2024-05-14 18:29:18,068 - acbm.assigning - DEBUG - Activity 3418: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,071 - acbm.assigning - DEBUG - Activity 3418: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,072 - acbm.assigning - DEBUG - Activity 3418: sampling based on floor area\n", - "2024-05-14 18:29:18,074 - acbm.assigning - INFO - Activity 3441: No zones available\n", - "2024-05-14 18:29:18,075 - acbm.assigning - DEBUG - Activity 3662: Initial number of options for activity = 11\n", - "2024-05-14 18:29:18,078 - acbm.assigning - DEBUG - Activity 3662: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:18,079 - acbm.assigning - DEBUG - Activity 3662: sampling based on floor area\n", - "2024-05-14 18:29:18,081 - acbm.assigning - DEBUG - Activity 3664: Initial number of options for activity = 11\n", - "2024-05-14 18:29:18,085 - acbm.assigning - DEBUG - Activity 3664: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:18,086 - acbm.assigning - DEBUG - Activity 3664: sampling based on floor area\n", - "2024-05-14 18:29:18,088 - acbm.assigning - DEBUG - Activity 3673: Initial number of options for activity = 11\n", - "2024-05-14 18:29:18,097 - acbm.assigning - DEBUG - Activity 3673: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:18,098 - acbm.assigning - DEBUG - Activity 3673: sampling based on floor area\n", - "2024-05-14 18:29:18,102 - acbm.assigning - DEBUG - Activity 3675: Initial number of options for activity = 11\n", - "2024-05-14 18:29:18,107 - acbm.assigning - DEBUG - Activity 3675: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:18,108 - acbm.assigning - DEBUG - Activity 3675: sampling based on floor area\n", - "2024-05-14 18:29:18,111 - acbm.assigning - DEBUG - Activity 3680: Initial number of options for activity = 11\n", - "2024-05-14 18:29:18,114 - acbm.assigning - DEBUG - Activity 3680: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:18,116 - acbm.assigning - DEBUG - Activity 3680: sampling based on floor area\n", - "2024-05-14 18:29:18,118 - acbm.assigning - DEBUG - Activity 3774: Initial number of options for activity = 12\n", - "2024-05-14 18:29:18,122 - acbm.assigning - DEBUG - Activity 3774: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:18,124 - acbm.assigning - DEBUG - Activity 3774: sampling based on floor area\n", - "2024-05-14 18:29:18,126 - acbm.assigning - DEBUG - Activity 3776: Initial number of options for activity = 12\n", - "2024-05-14 18:29:18,130 - acbm.assigning - DEBUG - Activity 3776: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:18,132 - acbm.assigning - DEBUG - Activity 3776: sampling based on floor area\n", - "2024-05-14 18:29:18,135 - acbm.assigning - DEBUG - Activity 3780: Initial number of options for activity = 12\n", - "2024-05-14 18:29:18,139 - acbm.assigning - DEBUG - Activity 3780: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:18,141 - acbm.assigning - DEBUG - Activity 3780: sampling based on floor area\n", - "2024-05-14 18:29:18,143 - acbm.assigning - DEBUG - Activity 3782: Initial number of options for activity = 12\n", - "2024-05-14 18:29:18,148 - acbm.assigning - DEBUG - Activity 3782: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:18,149 - acbm.assigning - DEBUG - Activity 3782: sampling based on floor area\n", - "2024-05-14 18:29:18,152 - acbm.assigning - DEBUG - Activity 3784: Initial number of options for activity = 12\n", - "2024-05-14 18:29:18,156 - acbm.assigning - DEBUG - Activity 3784: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:18,158 - acbm.assigning - DEBUG - Activity 3784: sampling based on floor area\n", - "2024-05-14 18:29:18,161 - acbm.assigning - DEBUG - Activity 3871: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,164 - acbm.assigning - DEBUG - Activity 3871: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,166 - acbm.assigning - DEBUG - Activity 3871: sampling based on floor area\n", - "2024-05-14 18:29:18,168 - acbm.assigning - DEBUG - Activity 3878: Initial number of options for activity = 57\n", - "2024-05-14 18:29:18,172 - acbm.assigning - DEBUG - Activity 3878: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:18,174 - acbm.assigning - DEBUG - Activity 3878: sampling based on floor area\n", - "2024-05-14 18:29:18,176 - acbm.assigning - DEBUG - Activity 3879: Initial number of options for activity = 57\n", - "2024-05-14 18:29:18,180 - acbm.assigning - DEBUG - Activity 3879: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:18,181 - acbm.assigning - DEBUG - Activity 3879: sampling based on floor area\n", - "2024-05-14 18:29:18,183 - acbm.assigning - DEBUG - Activity 3880: Initial number of options for activity = 57\n", - "2024-05-14 18:29:18,185 - acbm.assigning - DEBUG - Activity 3880: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:18,186 - acbm.assigning - DEBUG - Activity 3880: sampling based on floor area\n", - "2024-05-14 18:29:18,188 - acbm.assigning - DEBUG - Activity 3882: Initial number of options for activity = 57\n", - "2024-05-14 18:29:18,190 - acbm.assigning - DEBUG - Activity 3882: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:18,191 - acbm.assigning - DEBUG - Activity 3882: sampling based on floor area\n", - "2024-05-14 18:29:18,193 - acbm.assigning - DEBUG - Activity 4046: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,197 - acbm.assigning - DEBUG - Activity 4046: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,198 - acbm.assigning - DEBUG - Activity 4046: sampling based on floor area\n", - "2024-05-14 18:29:18,200 - acbm.assigning - DEBUG - Activity 4227: Initial number of options for activity = 9\n", - "2024-05-14 18:29:18,203 - acbm.assigning - DEBUG - Activity 4227: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:18,203 - acbm.assigning - DEBUG - Activity 4227: sampling based on floor area\n", - "2024-05-14 18:29:18,205 - acbm.assigning - DEBUG - Activity 4229: Initial number of options for activity = 9\n", - "2024-05-14 18:29:18,208 - acbm.assigning - DEBUG - Activity 4229: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:18,211 - acbm.assigning - DEBUG - Activity 4229: sampling based on floor area\n", - "2024-05-14 18:29:18,215 - acbm.assigning - DEBUG - Activity 4233: Initial number of options for activity = 9\n", - "2024-05-14 18:29:18,219 - acbm.assigning - DEBUG - Activity 4233: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:18,221 - acbm.assigning - DEBUG - Activity 4233: sampling based on floor area\n", - "2024-05-14 18:29:18,223 - acbm.assigning - DEBUG - Activity 4235: Initial number of options for activity = 9\n", - "2024-05-14 18:29:18,226 - acbm.assigning - DEBUG - Activity 4235: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:18,228 - acbm.assigning - DEBUG - Activity 4235: sampling based on floor area\n", - "2024-05-14 18:29:18,230 - acbm.assigning - DEBUG - Activity 4237: Initial number of options for activity = 9\n", - "2024-05-14 18:29:18,234 - acbm.assigning - DEBUG - Activity 4237: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:18,235 - acbm.assigning - DEBUG - Activity 4237: sampling based on floor area\n", - "2024-05-14 18:29:18,237 - acbm.assigning - INFO - Activity 4306: No zones available\n", - "2024-05-14 18:29:18,238 - acbm.assigning - INFO - Activity 4307: No zones available\n", - "2024-05-14 18:29:18,239 - acbm.assigning - INFO - Activity 4309: No zones available\n", - "2024-05-14 18:29:18,240 - acbm.assigning - INFO - Activity 4311: No zones available\n", - "2024-05-14 18:29:18,241 - acbm.assigning - INFO - Activity 4313: No zones available\n", - "2024-05-14 18:29:18,242 - acbm.assigning - DEBUG - Activity 4401: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,246 - acbm.assigning - DEBUG - Activity 4401: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,247 - acbm.assigning - DEBUG - Activity 4401: sampling based on floor area\n", - "2024-05-14 18:29:18,249 - acbm.assigning - DEBUG - Activity 4403: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,251 - acbm.assigning - DEBUG - Activity 4403: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,253 - acbm.assigning - DEBUG - Activity 4403: sampling based on floor area\n", - "2024-05-14 18:29:18,255 - acbm.assigning - DEBUG - Activity 4407: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,258 - acbm.assigning - DEBUG - Activity 4407: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,259 - acbm.assigning - DEBUG - Activity 4407: sampling based on floor area\n", - "2024-05-14 18:29:18,261 - acbm.assigning - DEBUG - Activity 4409: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,264 - acbm.assigning - DEBUG - Activity 4409: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,265 - acbm.assigning - DEBUG - Activity 4409: sampling based on floor area\n", - "2024-05-14 18:29:18,266 - acbm.assigning - DEBUG - Activity 4411: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,269 - acbm.assigning - DEBUG - Activity 4411: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,270 - acbm.assigning - DEBUG - Activity 4411: sampling based on floor area\n", - "2024-05-14 18:29:18,272 - acbm.assigning - DEBUG - Activity 4620: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,275 - acbm.assigning - DEBUG - Activity 4620: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,276 - acbm.assigning - DEBUG - Activity 4620: sampling based on floor area\n", - "2024-05-14 18:29:18,278 - acbm.assigning - DEBUG - Activity 4622: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,282 - acbm.assigning - DEBUG - Activity 4622: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,283 - acbm.assigning - DEBUG - Activity 4622: sampling based on floor area\n", - "2024-05-14 18:29:18,284 - acbm.assigning - DEBUG - Activity 4626: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,286 - acbm.assigning - DEBUG - Activity 4626: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,287 - acbm.assigning - DEBUG - Activity 4626: sampling based on floor area\n", - "2024-05-14 18:29:18,288 - acbm.assigning - DEBUG - Activity 4628: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,292 - acbm.assigning - DEBUG - Activity 4628: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,293 - acbm.assigning - DEBUG - Activity 4628: sampling based on floor area\n", - "2024-05-14 18:29:18,296 - acbm.assigning - DEBUG - Activity 4630: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,298 - acbm.assigning - DEBUG - Activity 4630: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,299 - acbm.assigning - DEBUG - Activity 4630: sampling based on floor area\n", - "2024-05-14 18:29:18,300 - acbm.assigning - DEBUG - Activity 4661: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,302 - acbm.assigning - DEBUG - Activity 4661: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,303 - acbm.assigning - DEBUG - Activity 4661: sampling based on floor area\n", - "2024-05-14 18:29:18,305 - acbm.assigning - DEBUG - Activity 4666: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,308 - acbm.assigning - DEBUG - Activity 4666: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,309 - acbm.assigning - DEBUG - Activity 4666: sampling based on floor area\n", - "2024-05-14 18:29:18,311 - acbm.assigning - DEBUG - Activity 4674: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,313 - acbm.assigning - DEBUG - Activity 4674: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,314 - acbm.assigning - DEBUG - Activity 4674: sampling based on floor area\n", - "2024-05-14 18:29:18,315 - acbm.assigning - DEBUG - Activity 4679: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,317 - acbm.assigning - DEBUG - Activity 4679: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,318 - acbm.assigning - DEBUG - Activity 4679: sampling based on floor area\n", - "2024-05-14 18:29:18,319 - acbm.assigning - DEBUG - Activity 4860: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,322 - acbm.assigning - DEBUG - Activity 4860: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,323 - acbm.assigning - DEBUG - Activity 4860: sampling based on floor area\n", - "2024-05-14 18:29:18,325 - acbm.assigning - DEBUG - Activity 4862: Initial number of options for activity = 40\n", - "2024-05-14 18:29:18,329 - acbm.assigning - DEBUG - Activity 4862: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:18,330 - acbm.assigning - DEBUG - Activity 4862: sampling based on floor area\n", - "2024-05-14 18:29:18,331 - acbm.assigning - DEBUG - Activity 4916: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,333 - acbm.assigning - DEBUG - Activity 4916: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,334 - acbm.assigning - DEBUG - Activity 4916: sampling based on floor area\n", - "2024-05-14 18:29:18,336 - acbm.assigning - INFO - Activity 4918: No zones available\n", - "2024-05-14 18:29:18,337 - acbm.assigning - DEBUG - Activity 4926: Initial number of options for activity = 4\n", - "2024-05-14 18:29:18,339 - acbm.assigning - DEBUG - Activity 4926: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:18,340 - acbm.assigning - DEBUG - Activity 4926: sampling based on floor area\n", - "2024-05-14 18:29:18,341 - acbm.assigning - DEBUG - Activity 4971: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,345 - acbm.assigning - DEBUG - Activity 4971: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,346 - acbm.assigning - DEBUG - Activity 4971: sampling based on floor area\n", - "2024-05-14 18:29:18,347 - acbm.assigning - DEBUG - Activity 4973: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,350 - acbm.assigning - DEBUG - Activity 4973: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,351 - acbm.assigning - DEBUG - Activity 4973: sampling based on floor area\n", - "2024-05-14 18:29:18,352 - acbm.assigning - DEBUG - Activity 4975: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,355 - acbm.assigning - DEBUG - Activity 4975: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,357 - acbm.assigning - DEBUG - Activity 4975: sampling based on floor area\n", - "2024-05-14 18:29:18,366 - acbm.assigning - DEBUG - Activity 4977: Initial number of options for activity = 25\n", - "2024-05-14 18:29:18,371 - acbm.assigning - DEBUG - Activity 4977: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:18,380 - acbm.assigning - DEBUG - Activity 4977: sampling based on floor area\n", - "2024-05-14 18:29:18,382 - acbm.assigning - DEBUG - Activity 5079: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,386 - acbm.assigning - DEBUG - Activity 5079: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,387 - acbm.assigning - DEBUG - Activity 5079: sampling based on floor area\n", - "2024-05-14 18:29:18,389 - acbm.assigning - DEBUG - Activity 5080: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,392 - acbm.assigning - DEBUG - Activity 5080: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,394 - acbm.assigning - DEBUG - Activity 5080: sampling based on floor area\n", - "2024-05-14 18:29:18,395 - acbm.assigning - DEBUG - Activity 5088: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,399 - acbm.assigning - DEBUG - Activity 5088: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,400 - acbm.assigning - DEBUG - Activity 5088: sampling based on floor area\n", - "2024-05-14 18:29:18,402 - acbm.assigning - DEBUG - Activity 5090: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,406 - acbm.assigning - DEBUG - Activity 5090: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,407 - acbm.assigning - DEBUG - Activity 5090: sampling based on floor area\n", - "2024-05-14 18:29:18,409 - acbm.assigning - DEBUG - Activity 5095: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,413 - acbm.assigning - DEBUG - Activity 5095: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,414 - acbm.assigning - DEBUG - Activity 5095: sampling based on floor area\n", - "2024-05-14 18:29:18,416 - acbm.assigning - DEBUG - Activity 5099: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,420 - acbm.assigning - DEBUG - Activity 5099: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,421 - acbm.assigning - DEBUG - Activity 5099: sampling based on floor area\n", - "2024-05-14 18:29:18,423 - acbm.assigning - DEBUG - Activity 5101: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,427 - acbm.assigning - DEBUG - Activity 5101: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,428 - acbm.assigning - DEBUG - Activity 5101: sampling based on floor area\n", - "2024-05-14 18:29:18,430 - acbm.assigning - DEBUG - Activity 5102: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,433 - acbm.assigning - DEBUG - Activity 5102: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,435 - acbm.assigning - DEBUG - Activity 5102: sampling based on floor area\n", - "2024-05-14 18:29:18,437 - acbm.assigning - DEBUG - Activity 5104: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,441 - acbm.assigning - DEBUG - Activity 5104: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,442 - acbm.assigning - DEBUG - Activity 5104: sampling based on floor area\n", - "2024-05-14 18:29:18,444 - acbm.assigning - DEBUG - Activity 5111: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,449 - acbm.assigning - DEBUG - Activity 5111: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,450 - acbm.assigning - DEBUG - Activity 5111: sampling based on floor area\n", - "2024-05-14 18:29:18,452 - acbm.assigning - DEBUG - Activity 5116: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,456 - acbm.assigning - DEBUG - Activity 5116: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,457 - acbm.assigning - DEBUG - Activity 5116: sampling based on floor area\n", - "2024-05-14 18:29:18,459 - acbm.assigning - DEBUG - Activity 5118: Initial number of options for activity = 3\n", - "2024-05-14 18:29:18,463 - acbm.assigning - DEBUG - Activity 5118: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:18,464 - acbm.assigning - DEBUG - Activity 5118: sampling based on floor area\n", - "2024-05-14 18:29:18,466 - acbm.assigning - DEBUG - Activity 5162: Initial number of options for activity = 7\n", - "2024-05-14 18:29:18,470 - acbm.assigning - DEBUG - Activity 5162: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:18,471 - acbm.assigning - DEBUG - Activity 5162: sampling based on floor area\n", - "2024-05-14 18:29:18,474 - acbm.assigning - DEBUG - Activity 5166: Initial number of options for activity = 4\n", - "2024-05-14 18:29:18,478 - acbm.assigning - DEBUG - Activity 5166: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:18,479 - acbm.assigning - DEBUG - Activity 5166: sampling based on floor area\n", - "2024-05-14 18:29:18,482 - acbm.assigning - DEBUG - Activity 5293: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,484 - acbm.assigning - DEBUG - Activity 5293: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,485 - acbm.assigning - DEBUG - Activity 5293: sampling based on floor area\n", - "2024-05-14 18:29:18,487 - acbm.assigning - DEBUG - Activity 5295: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,491 - acbm.assigning - DEBUG - Activity 5295: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,492 - acbm.assigning - DEBUG - Activity 5295: sampling based on floor area\n", - "2024-05-14 18:29:18,494 - acbm.assigning - DEBUG - Activity 5297: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,497 - acbm.assigning - DEBUG - Activity 5297: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,500 - acbm.assigning - DEBUG - Activity 5297: sampling based on floor area\n", - "2024-05-14 18:29:18,504 - acbm.assigning - DEBUG - Activity 5299: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,509 - acbm.assigning - DEBUG - Activity 5299: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,511 - acbm.assigning - DEBUG - Activity 5299: sampling based on floor area\n", - "2024-05-14 18:29:18,514 - acbm.assigning - DEBUG - Activity 5434: Initial number of options for activity = 18\n", - "2024-05-14 18:29:18,517 - acbm.assigning - DEBUG - Activity 5434: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:18,519 - acbm.assigning - DEBUG - Activity 5434: sampling based on floor area\n", - "2024-05-14 18:29:18,521 - acbm.assigning - DEBUG - Activity 5436: Initial number of options for activity = 18\n", - "2024-05-14 18:29:18,525 - acbm.assigning - DEBUG - Activity 5436: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:18,526 - acbm.assigning - DEBUG - Activity 5436: sampling based on floor area\n", - "2024-05-14 18:29:18,528 - acbm.assigning - DEBUG - Activity 5440: Initial number of options for activity = 18\n", - "2024-05-14 18:29:18,532 - acbm.assigning - DEBUG - Activity 5440: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:18,533 - acbm.assigning - DEBUG - Activity 5440: sampling based on floor area\n", - "2024-05-14 18:29:18,535 - acbm.assigning - DEBUG - Activity 5442: Initial number of options for activity = 18\n", - "2024-05-14 18:29:18,538 - acbm.assigning - DEBUG - Activity 5442: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:18,539 - acbm.assigning - DEBUG - Activity 5442: sampling based on floor area\n", - "2024-05-14 18:29:18,541 - acbm.assigning - DEBUG - Activity 5444: Initial number of options for activity = 18\n", - "2024-05-14 18:29:18,544 - acbm.assigning - DEBUG - Activity 5444: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:18,545 - acbm.assigning - DEBUG - Activity 5444: sampling based on floor area\n", - "2024-05-14 18:29:18,547 - acbm.assigning - DEBUG - Activity 5493: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,550 - acbm.assigning - DEBUG - Activity 5493: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,552 - acbm.assigning - DEBUG - Activity 5493: sampling based on floor area\n", - "2024-05-14 18:29:18,554 - acbm.assigning - INFO - Activity 5514: No zones available\n", - "2024-05-14 18:29:18,555 - acbm.assigning - INFO - Activity 5517: No zones available\n", - "2024-05-14 18:29:18,556 - acbm.assigning - INFO - Activity 5518: No zones available\n", - "2024-05-14 18:29:18,557 - acbm.assigning - INFO - Activity 5519: No zones available\n", - "2024-05-14 18:29:18,558 - acbm.assigning - DEBUG - Activity 5641: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,560 - acbm.assigning - DEBUG - Activity 5641: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,562 - acbm.assigning - DEBUG - Activity 5641: sampling based on floor area\n", - "2024-05-14 18:29:18,563 - acbm.assigning - DEBUG - Activity 5643: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,567 - acbm.assigning - DEBUG - Activity 5643: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,568 - acbm.assigning - DEBUG - Activity 5643: sampling based on floor area\n", - "2024-05-14 18:29:18,569 - acbm.assigning - DEBUG - Activity 5647: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,573 - acbm.assigning - DEBUG - Activity 5647: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,574 - acbm.assigning - DEBUG - Activity 5647: sampling based on floor area\n", - "2024-05-14 18:29:18,576 - acbm.assigning - DEBUG - Activity 5649: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,579 - acbm.assigning - DEBUG - Activity 5649: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,580 - acbm.assigning - DEBUG - Activity 5649: sampling based on floor area\n", - "2024-05-14 18:29:18,581 - acbm.assigning - DEBUG - Activity 5651: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,584 - acbm.assigning - DEBUG - Activity 5651: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,585 - acbm.assigning - DEBUG - Activity 5651: sampling based on floor area\n", - "2024-05-14 18:29:18,586 - acbm.assigning - DEBUG - Activity 5721: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,589 - acbm.assigning - DEBUG - Activity 5721: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,591 - acbm.assigning - DEBUG - Activity 5721: sampling based on floor area\n", - "2024-05-14 18:29:18,592 - acbm.assigning - DEBUG - Activity 5723: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,594 - acbm.assigning - DEBUG - Activity 5723: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,595 - acbm.assigning - DEBUG - Activity 5723: sampling based on floor area\n", - "2024-05-14 18:29:18,597 - acbm.assigning - DEBUG - Activity 5724: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,599 - acbm.assigning - DEBUG - Activity 5724: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,600 - acbm.assigning - DEBUG - Activity 5724: sampling based on floor area\n", - "2024-05-14 18:29:18,601 - acbm.assigning - DEBUG - Activity 5729: Initial number of options for activity = 40\n", - "2024-05-14 18:29:18,604 - acbm.assigning - DEBUG - Activity 5729: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:18,606 - acbm.assigning - DEBUG - Activity 5729: sampling based on floor area\n", - "2024-05-14 18:29:18,607 - acbm.assigning - DEBUG - Activity 5731: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,609 - acbm.assigning - DEBUG - Activity 5731: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,610 - acbm.assigning - DEBUG - Activity 5731: sampling based on floor area\n", - "2024-05-14 18:29:18,611 - acbm.assigning - DEBUG - Activity 5739: Initial number of options for activity = 40\n", - "2024-05-14 18:29:18,614 - acbm.assigning - DEBUG - Activity 5739: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:18,615 - acbm.assigning - DEBUG - Activity 5739: sampling based on floor area\n", - "2024-05-14 18:29:18,616 - acbm.assigning - DEBUG - Activity 5743: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,618 - acbm.assigning - DEBUG - Activity 5743: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,620 - acbm.assigning - DEBUG - Activity 5743: sampling based on floor area\n", - "2024-05-14 18:29:18,621 - acbm.assigning - DEBUG - Activity 5745: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,624 - acbm.assigning - DEBUG - Activity 5745: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,625 - acbm.assigning - DEBUG - Activity 5745: sampling based on floor area\n", - "2024-05-14 18:29:18,627 - acbm.assigning - DEBUG - Activity 5746: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,629 - acbm.assigning - DEBUG - Activity 5746: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,630 - acbm.assigning - DEBUG - Activity 5746: sampling based on floor area\n", - "2024-05-14 18:29:18,631 - acbm.assigning - DEBUG - Activity 5747: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,633 - acbm.assigning - DEBUG - Activity 5747: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,634 - acbm.assigning - DEBUG - Activity 5747: sampling based on floor area\n", - "2024-05-14 18:29:18,635 - acbm.assigning - DEBUG - Activity 5865: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,638 - acbm.assigning - DEBUG - Activity 5865: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,639 - acbm.assigning - DEBUG - Activity 5865: sampling based on floor area\n", - "2024-05-14 18:29:18,640 - acbm.assigning - DEBUG - Activity 5867: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,643 - acbm.assigning - DEBUG - Activity 5867: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,643 - acbm.assigning - DEBUG - Activity 5867: sampling based on floor area\n", - "2024-05-14 18:29:18,646 - acbm.assigning - DEBUG - Activity 5868: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,648 - acbm.assigning - DEBUG - Activity 5868: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,649 - acbm.assigning - DEBUG - Activity 5868: sampling based on floor area\n", - "2024-05-14 18:29:18,650 - acbm.assigning - DEBUG - Activity 5870: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,652 - acbm.assigning - DEBUG - Activity 5870: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,653 - acbm.assigning - DEBUG - Activity 5870: sampling based on floor area\n", - "2024-05-14 18:29:18,657 - acbm.assigning - DEBUG - Activity 5873: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,659 - acbm.assigning - DEBUG - Activity 5873: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,660 - acbm.assigning - DEBUG - Activity 5873: sampling based on floor area\n", - "2024-05-14 18:29:18,661 - acbm.assigning - DEBUG - Activity 5879: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,665 - acbm.assigning - DEBUG - Activity 5879: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,666 - acbm.assigning - DEBUG - Activity 5879: sampling based on floor area\n", - "2024-05-14 18:29:18,668 - acbm.assigning - DEBUG - Activity 5880: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,670 - acbm.assigning - DEBUG - Activity 5880: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,671 - acbm.assigning - DEBUG - Activity 5880: sampling based on floor area\n", - "2024-05-14 18:29:18,673 - acbm.assigning - DEBUG - Activity 5881: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,680 - acbm.assigning - DEBUG - Activity 5881: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,685 - acbm.assigning - DEBUG - Activity 5881: sampling based on floor area\n", - "2024-05-14 18:29:18,687 - acbm.assigning - DEBUG - Activity 5882: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,689 - acbm.assigning - DEBUG - Activity 5882: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,691 - acbm.assigning - DEBUG - Activity 5882: sampling based on floor area\n", - "2024-05-14 18:29:18,692 - acbm.assigning - DEBUG - Activity 5885: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,695 - acbm.assigning - DEBUG - Activity 5885: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,697 - acbm.assigning - DEBUG - Activity 5885: sampling based on floor area\n", - "2024-05-14 18:29:18,699 - acbm.assigning - DEBUG - Activity 6065: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,702 - acbm.assigning - DEBUG - Activity 6065: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,704 - acbm.assigning - DEBUG - Activity 6065: sampling based on floor area\n", - "2024-05-14 18:29:18,706 - acbm.assigning - DEBUG - Activity 6067: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,709 - acbm.assigning - DEBUG - Activity 6067: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,710 - acbm.assigning - DEBUG - Activity 6067: sampling based on floor area\n", - "2024-05-14 18:29:18,712 - acbm.assigning - DEBUG - Activity 6069: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,716 - acbm.assigning - DEBUG - Activity 6069: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,717 - acbm.assigning - DEBUG - Activity 6069: sampling based on floor area\n", - "2024-05-14 18:29:18,720 - acbm.assigning - DEBUG - Activity 6071: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,723 - acbm.assigning - DEBUG - Activity 6071: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,725 - acbm.assigning - DEBUG - Activity 6071: sampling based on floor area\n", - "2024-05-14 18:29:18,727 - acbm.assigning - DEBUG - Activity 6073: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,730 - acbm.assigning - DEBUG - Activity 6073: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,732 - acbm.assigning - DEBUG - Activity 6073: sampling based on floor area\n", - "2024-05-14 18:29:18,734 - acbm.assigning - DEBUG - Activity 6077: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,737 - acbm.assigning - DEBUG - Activity 6077: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,738 - acbm.assigning - DEBUG - Activity 6077: sampling based on floor area\n", - "2024-05-14 18:29:18,740 - acbm.assigning - DEBUG - Activity 6079: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,743 - acbm.assigning - DEBUG - Activity 6079: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,745 - acbm.assigning - DEBUG - Activity 6079: sampling based on floor area\n", - "2024-05-14 18:29:18,747 - acbm.assigning - DEBUG - Activity 6081: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,750 - acbm.assigning - DEBUG - Activity 6081: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,751 - acbm.assigning - DEBUG - Activity 6081: sampling based on floor area\n", - "2024-05-14 18:29:18,753 - acbm.assigning - DEBUG - Activity 6083: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,757 - acbm.assigning - DEBUG - Activity 6083: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,758 - acbm.assigning - DEBUG - Activity 6083: sampling based on floor area\n", - "2024-05-14 18:29:18,760 - acbm.assigning - DEBUG - Activity 6085: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,765 - acbm.assigning - DEBUG - Activity 6085: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,770 - acbm.assigning - DEBUG - Activity 6085: sampling based on floor area\n", - "2024-05-14 18:29:18,779 - acbm.assigning - DEBUG - Activity 6176: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,787 - acbm.assigning - DEBUG - Activity 6176: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,790 - acbm.assigning - DEBUG - Activity 6176: sampling based on floor area\n", - "2024-05-14 18:29:18,794 - acbm.assigning - DEBUG - Activity 6177: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,797 - acbm.assigning - DEBUG - Activity 6177: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,799 - acbm.assigning - DEBUG - Activity 6177: sampling based on floor area\n", - "2024-05-14 18:29:18,801 - acbm.assigning - DEBUG - Activity 6178: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,804 - acbm.assigning - DEBUG - Activity 6178: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,805 - acbm.assigning - DEBUG - Activity 6178: sampling based on floor area\n", - "2024-05-14 18:29:18,807 - acbm.assigning - DEBUG - Activity 6179: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,810 - acbm.assigning - DEBUG - Activity 6179: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,812 - acbm.assigning - DEBUG - Activity 6179: sampling based on floor area\n", - "2024-05-14 18:29:18,814 - acbm.assigning - DEBUG - Activity 6230: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,816 - acbm.assigning - DEBUG - Activity 6230: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,817 - acbm.assigning - DEBUG - Activity 6230: sampling based on floor area\n", - "2024-05-14 18:29:18,819 - acbm.assigning - DEBUG - Activity 6237: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,822 - acbm.assigning - DEBUG - Activity 6237: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,823 - acbm.assigning - DEBUG - Activity 6237: sampling based on floor area\n", - "2024-05-14 18:29:18,825 - acbm.assigning - DEBUG - Activity 6238: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,831 - acbm.assigning - DEBUG - Activity 6238: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,833 - acbm.assigning - DEBUG - Activity 6238: sampling based on floor area\n", - "2024-05-14 18:29:18,835 - acbm.assigning - DEBUG - Activity 6240: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,840 - acbm.assigning - DEBUG - Activity 6240: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,842 - acbm.assigning - DEBUG - Activity 6240: sampling based on floor area\n", - "2024-05-14 18:29:18,844 - acbm.assigning - DEBUG - Activity 6242: Initial number of options for activity = 1\n", - "2024-05-14 18:29:18,847 - acbm.assigning - DEBUG - Activity 6242: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:18,848 - acbm.assigning - DEBUG - Activity 6242: sampling based on floor area\n", - "2024-05-14 18:29:18,850 - acbm.assigning - DEBUG - Activity 6469: Initial number of options for activity = 15\n", - "2024-05-14 18:29:18,854 - acbm.assigning - DEBUG - Activity 6469: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:18,856 - acbm.assigning - DEBUG - Activity 6469: sampling based on floor area\n", - "2024-05-14 18:29:18,858 - acbm.assigning - DEBUG - Activity 6471: Initial number of options for activity = 15\n", - "2024-05-14 18:29:18,861 - acbm.assigning - DEBUG - Activity 6471: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:18,863 - acbm.assigning - DEBUG - Activity 6471: sampling based on floor area\n", - "2024-05-14 18:29:18,864 - acbm.assigning - DEBUG - Activity 6473: Initial number of options for activity = 15\n", - "2024-05-14 18:29:18,866 - acbm.assigning - DEBUG - Activity 6473: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:18,867 - acbm.assigning - DEBUG - Activity 6473: sampling based on floor area\n", - "2024-05-14 18:29:18,869 - acbm.assigning - DEBUG - Activity 6475: Initial number of options for activity = 15\n", - "2024-05-14 18:29:18,874 - acbm.assigning - DEBUG - Activity 6475: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:18,875 - acbm.assigning - DEBUG - Activity 6475: sampling based on floor area\n", - "2024-05-14 18:29:18,877 - acbm.assigning - DEBUG - Activity 6479: Initial number of options for activity = 15\n", - "2024-05-14 18:29:18,880 - acbm.assigning - DEBUG - Activity 6479: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:18,881 - acbm.assigning - DEBUG - Activity 6479: sampling based on floor area\n", - "2024-05-14 18:29:18,882 - acbm.assigning - DEBUG - Activity 6618: Initial number of options for activity = 60\n", - "2024-05-14 18:29:18,884 - acbm.assigning - DEBUG - Activity 6618: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:18,885 - acbm.assigning - DEBUG - Activity 6618: sampling based on floor area\n", - "2024-05-14 18:29:18,887 - acbm.assigning - DEBUG - Activity 6620: Initial number of options for activity = 60\n", - "2024-05-14 18:29:18,890 - acbm.assigning - DEBUG - Activity 6620: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:18,891 - acbm.assigning - DEBUG - Activity 6620: sampling based on floor area\n", - "2024-05-14 18:29:18,893 - acbm.assigning - DEBUG - Activity 6622: Initial number of options for activity = 60\n", - "2024-05-14 18:29:18,895 - acbm.assigning - DEBUG - Activity 6622: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:18,896 - acbm.assigning - DEBUG - Activity 6622: sampling based on floor area\n", - "2024-05-14 18:29:18,898 - acbm.assigning - DEBUG - Activity 6624: Initial number of options for activity = 60\n", - "2024-05-14 18:29:18,900 - acbm.assigning - DEBUG - Activity 6624: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:18,901 - acbm.assigning - DEBUG - Activity 6624: sampling based on floor area\n", - "2024-05-14 18:29:18,902 - acbm.assigning - DEBUG - Activity 6733: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,905 - acbm.assigning - DEBUG - Activity 6733: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,906 - acbm.assigning - DEBUG - Activity 6733: sampling based on floor area\n", - "2024-05-14 18:29:18,908 - acbm.assigning - DEBUG - Activity 6735: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,911 - acbm.assigning - DEBUG - Activity 6735: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,912 - acbm.assigning - DEBUG - Activity 6735: sampling based on floor area\n", - "2024-05-14 18:29:18,914 - acbm.assigning - DEBUG - Activity 6737: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,916 - acbm.assigning - DEBUG - Activity 6737: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,918 - acbm.assigning - DEBUG - Activity 6737: sampling based on floor area\n", - "2024-05-14 18:29:18,919 - acbm.assigning - DEBUG - Activity 6739: Initial number of options for activity = 2\n", - "2024-05-14 18:29:18,922 - acbm.assigning - DEBUG - Activity 6739: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:18,924 - acbm.assigning - DEBUG - Activity 6739: sampling based on floor area\n", - "2024-05-14 18:29:18,925 - acbm.assigning - DEBUG - Activity 6843: Initial number of options for activity = 57\n", - "2024-05-14 18:29:18,928 - acbm.assigning - DEBUG - Activity 6843: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:18,928 - acbm.assigning - DEBUG - Activity 6843: sampling based on floor area\n", - "2024-05-14 18:29:18,930 - acbm.assigning - DEBUG - Activity 6969: Initial number of options for activity = 31\n", - "2024-05-14 18:29:18,932 - acbm.assigning - DEBUG - Activity 6969: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:18,933 - acbm.assigning - DEBUG - Activity 6969: sampling based on floor area\n", - "2024-05-14 18:29:18,935 - acbm.assigning - DEBUG - Activity 6971: Initial number of options for activity = 31\n", - "2024-05-14 18:29:18,938 - acbm.assigning - DEBUG - Activity 6971: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:18,938 - acbm.assigning - DEBUG - Activity 6971: sampling based on floor area\n", - "2024-05-14 18:29:18,941 - acbm.assigning - DEBUG - Activity 6975: Initial number of options for activity = 31\n", - "2024-05-14 18:29:18,943 - acbm.assigning - DEBUG - Activity 6975: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:18,944 - acbm.assigning - DEBUG - Activity 6975: sampling based on floor area\n", - "2024-05-14 18:29:18,946 - acbm.assigning - DEBUG - Activity 6977: Initial number of options for activity = 31\n", - "2024-05-14 18:29:18,949 - acbm.assigning - DEBUG - Activity 6977: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:18,950 - acbm.assigning - DEBUG - Activity 6977: sampling based on floor area\n", - "2024-05-14 18:29:18,951 - acbm.assigning - DEBUG - Activity 6979: Initial number of options for activity = 31\n", - "2024-05-14 18:29:18,953 - acbm.assigning - DEBUG - Activity 6979: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:18,955 - acbm.assigning - DEBUG - Activity 6979: sampling based on floor area\n", - "2024-05-14 18:29:18,956 - acbm.assigning - INFO - Activity 7032: No zones available\n", - "2024-05-14 18:29:18,957 - acbm.assigning - INFO - Activity 7036: No zones available\n", - "2024-05-14 18:29:18,958 - acbm.assigning - INFO - Activity 7043: No zones available\n", - "2024-05-14 18:29:18,959 - acbm.assigning - INFO - Activity 7045: No zones available\n", - "2024-05-14 18:29:18,960 - acbm.assigning - DEBUG - Activity 7221: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,963 - acbm.assigning - DEBUG - Activity 7221: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,964 - acbm.assigning - DEBUG - Activity 7221: sampling based on floor area\n", - "2024-05-14 18:29:18,965 - acbm.assigning - DEBUG - Activity 7223: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,968 - acbm.assigning - DEBUG - Activity 7223: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,968 - acbm.assigning - DEBUG - Activity 7223: sampling based on floor area\n", - "2024-05-14 18:29:18,970 - acbm.assigning - DEBUG - Activity 7225: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,974 - acbm.assigning - DEBUG - Activity 7225: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,975 - acbm.assigning - DEBUG - Activity 7225: sampling based on floor area\n", - "2024-05-14 18:29:18,977 - acbm.assigning - DEBUG - Activity 7230: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,980 - acbm.assigning - DEBUG - Activity 7230: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,981 - acbm.assigning - DEBUG - Activity 7230: sampling based on floor area\n", - "2024-05-14 18:29:18,983 - acbm.assigning - DEBUG - Activity 7232: Initial number of options for activity = 16\n", - "2024-05-14 18:29:18,985 - acbm.assigning - DEBUG - Activity 7232: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:18,986 - acbm.assigning - DEBUG - Activity 7232: sampling based on floor area\n", - "2024-05-14 18:29:18,988 - acbm.assigning - DEBUG - Activity 7235: Initial number of options for activity = 7\n", - "2024-05-14 18:29:18,991 - acbm.assigning - DEBUG - Activity 7235: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:18,992 - acbm.assigning - DEBUG - Activity 7235: sampling based on floor area\n", - "2024-05-14 18:29:18,994 - acbm.assigning - DEBUG - Activity 7236: Initial number of options for activity = 7\n", - "2024-05-14 18:29:18,996 - acbm.assigning - DEBUG - Activity 7236: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:18,998 - acbm.assigning - DEBUG - Activity 7236: sampling based on floor area\n", - "2024-05-14 18:29:18,999 - acbm.assigning - DEBUG - Activity 7242: Initial number of options for activity = 7\n", - "2024-05-14 18:29:19,002 - acbm.assigning - DEBUG - Activity 7242: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:19,003 - acbm.assigning - DEBUG - Activity 7242: sampling based on floor area\n", - "2024-05-14 18:29:19,004 - acbm.assigning - DEBUG - Activity 7243: Initial number of options for activity = 7\n", - "2024-05-14 18:29:19,007 - acbm.assigning - DEBUG - Activity 7243: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:19,008 - acbm.assigning - DEBUG - Activity 7243: sampling based on floor area\n", - "2024-05-14 18:29:19,009 - acbm.assigning - DEBUG - Activity 7246: Initial number of options for activity = 7\n", - "2024-05-14 18:29:19,012 - acbm.assigning - DEBUG - Activity 7246: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:19,013 - acbm.assigning - DEBUG - Activity 7246: sampling based on floor area\n", - "2024-05-14 18:29:19,014 - acbm.assigning - DEBUG - Activity 7467: Initial number of options for activity = 17\n", - "2024-05-14 18:29:19,016 - acbm.assigning - DEBUG - Activity 7467: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:19,017 - acbm.assigning - DEBUG - Activity 7467: sampling based on floor area\n", - "2024-05-14 18:29:19,018 - acbm.assigning - DEBUG - Activity 7517: Initial number of options for activity = 67\n", - "2024-05-14 18:29:19,021 - acbm.assigning - DEBUG - Activity 7517: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:19,023 - acbm.assigning - DEBUG - Activity 7517: sampling based on floor area\n", - "2024-05-14 18:29:19,024 - acbm.assigning - DEBUG - Activity 7519: Initial number of options for activity = 67\n", - "2024-05-14 18:29:19,027 - acbm.assigning - DEBUG - Activity 7519: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:19,029 - acbm.assigning - DEBUG - Activity 7519: sampling based on floor area\n", - "2024-05-14 18:29:19,030 - acbm.assigning - DEBUG - Activity 7521: Initial number of options for activity = 67\n", - "2024-05-14 18:29:19,033 - acbm.assigning - DEBUG - Activity 7521: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:19,034 - acbm.assigning - DEBUG - Activity 7521: sampling based on floor area\n", - "2024-05-14 18:29:19,035 - acbm.assigning - DEBUG - Activity 7523: Initial number of options for activity = 67\n", - "2024-05-14 18:29:19,038 - acbm.assigning - DEBUG - Activity 7523: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:19,039 - acbm.assigning - DEBUG - Activity 7523: sampling based on floor area\n", - "2024-05-14 18:29:19,040 - acbm.assigning - DEBUG - Activity 7778: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,042 - acbm.assigning - DEBUG - Activity 7778: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,043 - acbm.assigning - DEBUG - Activity 7778: sampling based on floor area\n", - "2024-05-14 18:29:19,044 - acbm.assigning - DEBUG - Activity 7792: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,047 - acbm.assigning - DEBUG - Activity 7792: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,047 - acbm.assigning - DEBUG - Activity 7792: sampling based on floor area\n", - "2024-05-14 18:29:19,048 - acbm.assigning - DEBUG - Activity 7804: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,050 - acbm.assigning - DEBUG - Activity 7804: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,051 - acbm.assigning - DEBUG - Activity 7804: sampling based on floor area\n", - "2024-05-14 18:29:19,052 - acbm.assigning - DEBUG - Activity 7805: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,056 - acbm.assigning - DEBUG - Activity 7805: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,058 - acbm.assigning - DEBUG - Activity 7805: sampling based on floor area\n", - "2024-05-14 18:29:19,059 - acbm.assigning - DEBUG - Activity 7811: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,062 - acbm.assigning - DEBUG - Activity 7811: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,063 - acbm.assigning - DEBUG - Activity 7811: sampling based on floor area\n", - "2024-05-14 18:29:19,065 - acbm.assigning - DEBUG - Activity 7812: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,067 - acbm.assigning - DEBUG - Activity 7812: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,068 - acbm.assigning - DEBUG - Activity 7812: sampling based on floor area\n", - "2024-05-14 18:29:19,070 - acbm.assigning - DEBUG - Activity 7990: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,072 - acbm.assigning - DEBUG - Activity 7990: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,073 - acbm.assigning - DEBUG - Activity 7990: sampling based on floor area\n", - "2024-05-14 18:29:19,075 - acbm.assigning - DEBUG - Activity 7991: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,077 - acbm.assigning - DEBUG - Activity 7991: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,078 - acbm.assigning - DEBUG - Activity 7991: sampling based on floor area\n", - "2024-05-14 18:29:19,079 - acbm.assigning - DEBUG - Activity 7994: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,082 - acbm.assigning - DEBUG - Activity 7994: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,083 - acbm.assigning - DEBUG - Activity 7994: sampling based on floor area\n", - "2024-05-14 18:29:19,084 - acbm.assigning - DEBUG - Activity 8001: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,086 - acbm.assigning - DEBUG - Activity 8001: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,087 - acbm.assigning - DEBUG - Activity 8001: sampling based on floor area\n", - "2024-05-14 18:29:19,089 - acbm.assigning - DEBUG - Activity 8002: Initial number of options for activity = 5\n", - "2024-05-14 18:29:19,092 - acbm.assigning - DEBUG - Activity 8002: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:19,093 - acbm.assigning - DEBUG - Activity 8002: sampling based on floor area\n", - "2024-05-14 18:29:19,095 - acbm.assigning - DEBUG - Activity 8003: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,097 - acbm.assigning - DEBUG - Activity 8003: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,098 - acbm.assigning - DEBUG - Activity 8003: sampling based on floor area\n", - "2024-05-14 18:29:19,100 - acbm.assigning - DEBUG - Activity 8046: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,102 - acbm.assigning - DEBUG - Activity 8046: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,103 - acbm.assigning - DEBUG - Activity 8046: sampling based on floor area\n", - "2024-05-14 18:29:19,106 - acbm.assigning - DEBUG - Activity 8048: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,109 - acbm.assigning - DEBUG - Activity 8048: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,110 - acbm.assigning - DEBUG - Activity 8048: sampling based on floor area\n", - "2024-05-14 18:29:19,112 - acbm.assigning - DEBUG - Activity 8050: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,114 - acbm.assigning - DEBUG - Activity 8050: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,115 - acbm.assigning - DEBUG - Activity 8050: sampling based on floor area\n", - "2024-05-14 18:29:19,116 - acbm.assigning - DEBUG - Activity 8052: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,119 - acbm.assigning - DEBUG - Activity 8052: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,120 - acbm.assigning - DEBUG - Activity 8052: sampling based on floor area\n", - "2024-05-14 18:29:19,122 - acbm.assigning - INFO - Activity 8055: No zones available\n", - "2024-05-14 18:29:19,123 - acbm.assigning - INFO - Activity 8056: No zones available\n", - "2024-05-14 18:29:19,124 - acbm.assigning - INFO - Activity 8057: No zones available\n", - "2024-05-14 18:29:19,136 - acbm.assigning - DEBUG - Activity 8125: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,139 - acbm.assigning - DEBUG - Activity 8125: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,140 - acbm.assigning - DEBUG - Activity 8125: sampling based on floor area\n", - "2024-05-14 18:29:19,142 - acbm.assigning - DEBUG - Activity 8126: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,146 - acbm.assigning - DEBUG - Activity 8126: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,148 - acbm.assigning - DEBUG - Activity 8126: sampling based on floor area\n", - "2024-05-14 18:29:19,149 - acbm.assigning - DEBUG - Activity 8127: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,152 - acbm.assigning - DEBUG - Activity 8127: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,153 - acbm.assigning - DEBUG - Activity 8127: sampling based on floor area\n", - "2024-05-14 18:29:19,155 - acbm.assigning - DEBUG - Activity 8131: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,157 - acbm.assigning - DEBUG - Activity 8131: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,158 - acbm.assigning - DEBUG - Activity 8131: sampling based on floor area\n", - "2024-05-14 18:29:19,160 - acbm.assigning - DEBUG - Activity 8134: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,163 - acbm.assigning - DEBUG - Activity 8134: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,163 - acbm.assigning - DEBUG - Activity 8134: sampling based on floor area\n", - "2024-05-14 18:29:19,165 - acbm.assigning - DEBUG - Activity 8455: Initial number of options for activity = 129\n", - "2024-05-14 18:29:19,168 - acbm.assigning - DEBUG - Activity 8455: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:19,169 - acbm.assigning - DEBUG - Activity 8455: sampling based on floor area\n", - "2024-05-14 18:29:19,171 - acbm.assigning - DEBUG - Activity 8457: Initial number of options for activity = 224\n", - "2024-05-14 18:29:19,174 - acbm.assigning - DEBUG - Activity 8457: Number of options after filtering by education type: 224\n", - "2024-05-14 18:29:19,175 - acbm.assigning - DEBUG - Activity 8457: sampling based on floor area\n", - "2024-05-14 18:29:19,176 - acbm.assigning - DEBUG - Activity 8458: Initial number of options for activity = 129\n", - "2024-05-14 18:29:19,178 - acbm.assigning - DEBUG - Activity 8458: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:19,179 - acbm.assigning - DEBUG - Activity 8458: sampling based on floor area\n", - "2024-05-14 18:29:19,180 - acbm.assigning - DEBUG - Activity 8465: Initial number of options for activity = 129\n", - "2024-05-14 18:29:19,183 - acbm.assigning - DEBUG - Activity 8465: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:19,184 - acbm.assigning - DEBUG - Activity 8465: sampling based on floor area\n", - "2024-05-14 18:29:19,186 - acbm.assigning - DEBUG - Activity 8469: Initial number of options for activity = 224\n", - "2024-05-14 18:29:19,188 - acbm.assigning - DEBUG - Activity 8469: Number of options after filtering by education type: 224\n", - "2024-05-14 18:29:19,189 - acbm.assigning - DEBUG - Activity 8469: sampling based on floor area\n", - "2024-05-14 18:29:19,191 - acbm.assigning - DEBUG - Activity 8804: Initial number of options for activity = 47\n", - "2024-05-14 18:29:19,195 - acbm.assigning - DEBUG - Activity 8804: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:19,196 - acbm.assigning - DEBUG - Activity 8804: sampling based on floor area\n", - "2024-05-14 18:29:19,198 - acbm.assigning - DEBUG - Activity 8805: Initial number of options for activity = 47\n", - "2024-05-14 18:29:19,202 - acbm.assigning - DEBUG - Activity 8805: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:19,204 - acbm.assigning - DEBUG - Activity 8805: sampling based on floor area\n", - "2024-05-14 18:29:19,206 - acbm.assigning - DEBUG - Activity 8806: Initial number of options for activity = 231\n", - "2024-05-14 18:29:19,209 - acbm.assigning - DEBUG - Activity 8806: Number of options after filtering by education type: 231\n", - "2024-05-14 18:29:19,211 - acbm.assigning - DEBUG - Activity 8806: sampling based on floor area\n", - "2024-05-14 18:29:19,212 - acbm.assigning - DEBUG - Activity 8813: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,215 - acbm.assigning - DEBUG - Activity 8813: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,215 - acbm.assigning - DEBUG - Activity 8813: sampling based on floor area\n", - "2024-05-14 18:29:19,217 - acbm.assigning - DEBUG - Activity 8818: Initial number of options for activity = 55\n", - "2024-05-14 18:29:19,219 - acbm.assigning - DEBUG - Activity 8818: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:19,220 - acbm.assigning - DEBUG - Activity 8818: sampling based on floor area\n", - "2024-05-14 18:29:19,222 - acbm.assigning - DEBUG - Activity 8929: Initial number of options for activity = 46\n", - "2024-05-14 18:29:19,225 - acbm.assigning - DEBUG - Activity 8929: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:19,226 - acbm.assigning - DEBUG - Activity 8929: sampling based on floor area\n", - "2024-05-14 18:29:19,228 - acbm.assigning - DEBUG - Activity 8947: Initial number of options for activity = 7\n", - "2024-05-14 18:29:19,231 - acbm.assigning - DEBUG - Activity 8947: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:19,232 - acbm.assigning - DEBUG - Activity 8947: sampling based on floor area\n", - "2024-05-14 18:29:19,234 - acbm.assigning - DEBUG - Activity 9395: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,237 - acbm.assigning - DEBUG - Activity 9395: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,238 - acbm.assigning - DEBUG - Activity 9395: sampling based on floor area\n", - "2024-05-14 18:29:19,242 - acbm.assigning - DEBUG - Activity 9397: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,246 - acbm.assigning - DEBUG - Activity 9397: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,249 - acbm.assigning - DEBUG - Activity 9397: sampling based on floor area\n", - "2024-05-14 18:29:19,252 - acbm.assigning - DEBUG - Activity 9399: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,255 - acbm.assigning - DEBUG - Activity 9399: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,256 - acbm.assigning - DEBUG - Activity 9399: sampling based on floor area\n", - "2024-05-14 18:29:19,258 - acbm.assigning - DEBUG - Activity 9401: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,262 - acbm.assigning - DEBUG - Activity 9401: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,264 - acbm.assigning - DEBUG - Activity 9401: sampling based on floor area\n", - "2024-05-14 18:29:19,265 - acbm.assigning - INFO - Activity 9407: No zones available\n", - "2024-05-14 18:29:19,266 - acbm.assigning - DEBUG - Activity 9591: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,269 - acbm.assigning - DEBUG - Activity 9591: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,272 - acbm.assigning - DEBUG - Activity 9591: sampling based on floor area\n", - "2024-05-14 18:29:19,274 - acbm.assigning - DEBUG - Activity 9592: Initial number of options for activity = 11\n", - "2024-05-14 18:29:19,278 - acbm.assigning - DEBUG - Activity 9592: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:19,280 - acbm.assigning - DEBUG - Activity 9592: sampling based on floor area\n", - "2024-05-14 18:29:19,282 - acbm.assigning - DEBUG - Activity 9596: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,286 - acbm.assigning - DEBUG - Activity 9596: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,287 - acbm.assigning - DEBUG - Activity 9596: sampling based on floor area\n", - "2024-05-14 18:29:19,290 - acbm.assigning - DEBUG - Activity 9597: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,296 - acbm.assigning - DEBUG - Activity 9597: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,298 - acbm.assigning - DEBUG - Activity 9597: sampling based on floor area\n", - "2024-05-14 18:29:19,300 - acbm.assigning - DEBUG - Activity 9599: Initial number of options for activity = 11\n", - "2024-05-14 18:29:19,304 - acbm.assigning - DEBUG - Activity 9599: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:19,306 - acbm.assigning - DEBUG - Activity 9599: sampling based on floor area\n", - "2024-05-14 18:29:19,308 - acbm.assigning - DEBUG - Activity 9713: Initial number of options for activity = 54\n", - "2024-05-14 18:29:19,311 - acbm.assigning - DEBUG - Activity 9713: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:19,312 - acbm.assigning - DEBUG - Activity 9713: sampling based on floor area\n", - "2024-05-14 18:29:19,314 - acbm.assigning - DEBUG - Activity 9715: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,318 - acbm.assigning - DEBUG - Activity 9715: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,319 - acbm.assigning - DEBUG - Activity 9715: sampling based on floor area\n", - "2024-05-14 18:29:19,321 - acbm.assigning - DEBUG - Activity 9717: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,325 - acbm.assigning - DEBUG - Activity 9717: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,326 - acbm.assigning - DEBUG - Activity 9717: sampling based on floor area\n", - "2024-05-14 18:29:19,330 - acbm.assigning - DEBUG - Activity 9721: Initial number of options for activity = 69\n", - "2024-05-14 18:29:19,332 - acbm.assigning - DEBUG - Activity 9721: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:19,334 - acbm.assigning - DEBUG - Activity 9721: sampling based on floor area\n", - "2024-05-14 18:29:19,336 - acbm.assigning - DEBUG - Activity 9723: Initial number of options for activity = 69\n", - "2024-05-14 18:29:19,339 - acbm.assigning - DEBUG - Activity 9723: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:19,340 - acbm.assigning - DEBUG - Activity 9723: sampling based on floor area\n", - "2024-05-14 18:29:19,342 - acbm.assigning - DEBUG - Activity 9800: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,346 - acbm.assigning - DEBUG - Activity 9800: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,347 - acbm.assigning - DEBUG - Activity 9800: sampling based on floor area\n", - "2024-05-14 18:29:19,349 - acbm.assigning - DEBUG - Activity 9803: Initial number of options for activity = 81\n", - "2024-05-14 18:29:19,353 - acbm.assigning - DEBUG - Activity 9803: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:19,354 - acbm.assigning - DEBUG - Activity 9803: sampling based on floor area\n", - "2024-05-14 18:29:19,356 - acbm.assigning - DEBUG - Activity 9820: Initial number of options for activity = 16\n", - "2024-05-14 18:29:19,359 - acbm.assigning - DEBUG - Activity 9820: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:19,360 - acbm.assigning - DEBUG - Activity 9820: sampling based on floor area\n", - "2024-05-14 18:29:19,363 - acbm.assigning - DEBUG - Activity 9824: Initial number of options for activity = 6\n", - "2024-05-14 18:29:19,367 - acbm.assigning - DEBUG - Activity 9824: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:19,369 - acbm.assigning - DEBUG - Activity 9824: sampling based on floor area\n", - "2024-05-14 18:29:19,371 - acbm.assigning - DEBUG - Activity 9941: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,374 - acbm.assigning - DEBUG - Activity 9941: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,376 - acbm.assigning - DEBUG - Activity 9941: sampling based on floor area\n", - "2024-05-14 18:29:19,377 - acbm.assigning - DEBUG - Activity 9943: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,380 - acbm.assigning - DEBUG - Activity 9943: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,388 - acbm.assigning - DEBUG - Activity 9943: sampling based on floor area\n", - "2024-05-14 18:29:19,390 - acbm.assigning - DEBUG - Activity 9945: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,393 - acbm.assigning - DEBUG - Activity 9945: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,395 - acbm.assigning - DEBUG - Activity 9945: sampling based on floor area\n", - "2024-05-14 18:29:19,397 - acbm.assigning - DEBUG - Activity 9947: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,400 - acbm.assigning - DEBUG - Activity 9947: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,401 - acbm.assigning - DEBUG - Activity 9947: sampling based on floor area\n", - "2024-05-14 18:29:19,403 - acbm.assigning - DEBUG - Activity 9949: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,406 - acbm.assigning - DEBUG - Activity 9949: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,407 - acbm.assigning - DEBUG - Activity 9949: sampling based on floor area\n", - "2024-05-14 18:29:19,409 - acbm.assigning - DEBUG - Activity 9951: Initial number of options for activity = 69\n", - "2024-05-14 18:29:19,411 - acbm.assigning - DEBUG - Activity 9951: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:19,412 - acbm.assigning - DEBUG - Activity 9951: sampling based on floor area\n", - "2024-05-14 18:29:19,413 - acbm.assigning - DEBUG - Activity 9953: Initial number of options for activity = 69\n", - "2024-05-14 18:29:19,415 - acbm.assigning - DEBUG - Activity 9953: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:19,416 - acbm.assigning - DEBUG - Activity 9953: sampling based on floor area\n", - "2024-05-14 18:29:19,417 - acbm.assigning - DEBUG - Activity 9955: Initial number of options for activity = 69\n", - "2024-05-14 18:29:19,420 - acbm.assigning - DEBUG - Activity 9955: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:19,420 - acbm.assigning - DEBUG - Activity 9955: sampling based on floor area\n", - "2024-05-14 18:29:19,421 - acbm.assigning - DEBUG - Activity 9957: Initial number of options for activity = 69\n", - "2024-05-14 18:29:19,423 - acbm.assigning - DEBUG - Activity 9957: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:19,424 - acbm.assigning - DEBUG - Activity 9957: sampling based on floor area\n", - "2024-05-14 18:29:19,426 - acbm.assigning - DEBUG - Activity 9959: Initial number of options for activity = 69\n", - "2024-05-14 18:29:19,428 - acbm.assigning - DEBUG - Activity 9959: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:19,429 - acbm.assigning - DEBUG - Activity 9959: sampling based on floor area\n", - "2024-05-14 18:29:19,430 - acbm.assigning - DEBUG - Activity 9994: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,433 - acbm.assigning - DEBUG - Activity 9994: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,434 - acbm.assigning - DEBUG - Activity 9994: sampling based on floor area\n", - "2024-05-14 18:29:19,435 - acbm.assigning - DEBUG - Activity 9995: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,438 - acbm.assigning - DEBUG - Activity 9995: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,439 - acbm.assigning - DEBUG - Activity 9995: sampling based on floor area\n", - "2024-05-14 18:29:19,441 - acbm.assigning - DEBUG - Activity 9999: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,444 - acbm.assigning - DEBUG - Activity 9999: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,445 - acbm.assigning - DEBUG - Activity 9999: sampling based on floor area\n", - "2024-05-14 18:29:19,446 - acbm.assigning - DEBUG - Activity 10000: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,449 - acbm.assigning - DEBUG - Activity 10000: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,449 - acbm.assigning - DEBUG - Activity 10000: sampling based on floor area\n", - "2024-05-14 18:29:19,451 - acbm.assigning - DEBUG - Activity 10002: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,453 - acbm.assigning - DEBUG - Activity 10002: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,454 - acbm.assigning - DEBUG - Activity 10002: sampling based on floor area\n", - "2024-05-14 18:29:19,456 - acbm.assigning - INFO - Activity 10252: No zones available\n", - "2024-05-14 18:29:19,457 - acbm.assigning - INFO - Activity 10253: No zones available\n", - "2024-05-14 18:29:19,458 - acbm.assigning - INFO - Activity 10265: No zones available\n", - "2024-05-14 18:29:19,459 - acbm.assigning - INFO - Activity 10266: No zones available\n", - "2024-05-14 18:29:19,460 - acbm.assigning - DEBUG - Activity 10401: Initial number of options for activity = 6\n", - "2024-05-14 18:29:19,463 - acbm.assigning - DEBUG - Activity 10401: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:19,464 - acbm.assigning - DEBUG - Activity 10401: sampling based on floor area\n", - "2024-05-14 18:29:19,465 - acbm.assigning - DEBUG - Activity 10402: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,467 - acbm.assigning - DEBUG - Activity 10402: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,469 - acbm.assigning - DEBUG - Activity 10402: sampling based on floor area\n", - "2024-05-14 18:29:19,470 - acbm.assigning - DEBUG - Activity 10404: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,473 - acbm.assigning - DEBUG - Activity 10404: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,475 - acbm.assigning - DEBUG - Activity 10404: sampling based on floor area\n", - "2024-05-14 18:29:19,476 - acbm.assigning - DEBUG - Activity 10406: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,479 - acbm.assigning - DEBUG - Activity 10406: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,480 - acbm.assigning - DEBUG - Activity 10406: sampling based on floor area\n", - "2024-05-14 18:29:19,481 - acbm.assigning - DEBUG - Activity 10407: Initial number of options for activity = 4\n", - "2024-05-14 18:29:19,483 - acbm.assigning - DEBUG - Activity 10407: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:19,483 - acbm.assigning - DEBUG - Activity 10407: sampling based on floor area\n", - "2024-05-14 18:29:19,485 - acbm.assigning - DEBUG - Activity 10675: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,487 - acbm.assigning - DEBUG - Activity 10675: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,487 - acbm.assigning - DEBUG - Activity 10675: sampling based on floor area\n", - "2024-05-14 18:29:19,489 - acbm.assigning - DEBUG - Activity 10677: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,492 - acbm.assigning - DEBUG - Activity 10677: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,493 - acbm.assigning - DEBUG - Activity 10677: sampling based on floor area\n", - "2024-05-14 18:29:19,494 - acbm.assigning - DEBUG - Activity 10681: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,497 - acbm.assigning - DEBUG - Activity 10681: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,498 - acbm.assigning - DEBUG - Activity 10681: sampling based on floor area\n", - "2024-05-14 18:29:19,500 - acbm.assigning - DEBUG - Activity 10683: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,502 - acbm.assigning - DEBUG - Activity 10683: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,503 - acbm.assigning - DEBUG - Activity 10683: sampling based on floor area\n", - "2024-05-14 18:29:19,505 - acbm.assigning - DEBUG - Activity 10685: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,509 - acbm.assigning - DEBUG - Activity 10685: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,510 - acbm.assigning - DEBUG - Activity 10685: sampling based on floor area\n", - "2024-05-14 18:29:19,511 - acbm.assigning - DEBUG - Activity 10865: Initial number of options for activity = 63\n", - "2024-05-14 18:29:19,513 - acbm.assigning - DEBUG - Activity 10865: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:19,514 - acbm.assigning - DEBUG - Activity 10865: sampling based on floor area\n", - "2024-05-14 18:29:19,515 - acbm.assigning - DEBUG - Activity 10867: Initial number of options for activity = 63\n", - "2024-05-14 18:29:19,517 - acbm.assigning - DEBUG - Activity 10867: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:19,518 - acbm.assigning - DEBUG - Activity 10867: sampling based on floor area\n", - "2024-05-14 18:29:19,520 - acbm.assigning - DEBUG - Activity 10869: Initial number of options for activity = 63\n", - "2024-05-14 18:29:19,523 - acbm.assigning - DEBUG - Activity 10869: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:19,524 - acbm.assigning - DEBUG - Activity 10869: sampling based on floor area\n", - "2024-05-14 18:29:19,526 - acbm.assigning - DEBUG - Activity 10871: Initial number of options for activity = 63\n", - "2024-05-14 18:29:19,528 - acbm.assigning - DEBUG - Activity 10871: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:19,529 - acbm.assigning - DEBUG - Activity 10871: sampling based on floor area\n", - "2024-05-14 18:29:19,531 - acbm.assigning - DEBUG - Activity 10873: Initial number of options for activity = 63\n", - "2024-05-14 18:29:19,534 - acbm.assigning - DEBUG - Activity 10873: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:19,549 - acbm.assigning - DEBUG - Activity 10873: sampling based on floor area\n", - "2024-05-14 18:29:19,556 - acbm.assigning - DEBUG - Activity 11151: Initial number of options for activity = 2\n", - "2024-05-14 18:29:19,558 - acbm.assigning - DEBUG - Activity 11151: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:19,559 - acbm.assigning - DEBUG - Activity 11151: sampling based on floor area\n", - "2024-05-14 18:29:19,566 - acbm.assigning - DEBUG - Activity 11152: Initial number of options for activity = 56\n", - "2024-05-14 18:29:19,572 - acbm.assigning - DEBUG - Activity 11152: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:19,573 - acbm.assigning - DEBUG - Activity 11152: sampling based on floor area\n", - "2024-05-14 18:29:19,575 - acbm.assigning - DEBUG - Activity 11156: Initial number of options for activity = 6\n", - "2024-05-14 18:29:19,578 - acbm.assigning - DEBUG - Activity 11156: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:19,579 - acbm.assigning - DEBUG - Activity 11156: sampling based on floor area\n", - "2024-05-14 18:29:19,581 - acbm.assigning - DEBUG - Activity 11157: Initial number of options for activity = 6\n", - "2024-05-14 18:29:19,586 - acbm.assigning - DEBUG - Activity 11157: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:19,587 - acbm.assigning - DEBUG - Activity 11157: sampling based on floor area\n", - "2024-05-14 18:29:19,589 - acbm.assigning - DEBUG - Activity 11159: Initial number of options for activity = 56\n", - "2024-05-14 18:29:19,593 - acbm.assigning - DEBUG - Activity 11159: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:19,594 - acbm.assigning - DEBUG - Activity 11159: sampling based on floor area\n", - "2024-05-14 18:29:19,596 - acbm.assigning - INFO - Activity 11273: No zones available\n", - "2024-05-14 18:29:19,597 - acbm.assigning - INFO - Activity 11275: No zones available\n", - "2024-05-14 18:29:19,597 - acbm.assigning - INFO - Activity 11277: No zones available\n", - "2024-05-14 18:29:19,599 - acbm.assigning - INFO - Activity 11279: No zones available\n", - "2024-05-14 18:29:19,599 - acbm.assigning - INFO - Activity 11281: No zones available\n", - "2024-05-14 18:29:19,600 - acbm.assigning - DEBUG - Activity 11458: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,603 - acbm.assigning - DEBUG - Activity 11458: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,604 - acbm.assigning - DEBUG - Activity 11458: sampling based on floor area\n", - "2024-05-14 18:29:19,607 - acbm.assigning - DEBUG - Activity 11596: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,610 - acbm.assigning - DEBUG - Activity 11596: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,611 - acbm.assigning - DEBUG - Activity 11596: sampling based on floor area\n", - "2024-05-14 18:29:19,614 - acbm.assigning - DEBUG - Activity 11598: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,617 - acbm.assigning - DEBUG - Activity 11598: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,618 - acbm.assigning - DEBUG - Activity 11598: sampling based on floor area\n", - "2024-05-14 18:29:19,620 - acbm.assigning - DEBUG - Activity 11602: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,624 - acbm.assigning - DEBUG - Activity 11602: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,625 - acbm.assigning - DEBUG - Activity 11602: sampling based on floor area\n", - "2024-05-14 18:29:19,628 - acbm.assigning - DEBUG - Activity 11604: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,631 - acbm.assigning - DEBUG - Activity 11604: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,632 - acbm.assigning - DEBUG - Activity 11604: sampling based on floor area\n", - "2024-05-14 18:29:19,634 - acbm.assigning - INFO - Activity 11670: No zones available\n", - "2024-05-14 18:29:19,635 - acbm.assigning - DEBUG - Activity 11768: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,638 - acbm.assigning - DEBUG - Activity 11768: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,640 - acbm.assigning - DEBUG - Activity 11768: sampling based on floor area\n", - "2024-05-14 18:29:19,642 - acbm.assigning - DEBUG - Activity 11769: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,646 - acbm.assigning - DEBUG - Activity 11769: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,647 - acbm.assigning - DEBUG - Activity 11769: sampling based on floor area\n", - "2024-05-14 18:29:19,650 - acbm.assigning - DEBUG - Activity 11772: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,653 - acbm.assigning - DEBUG - Activity 11772: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,654 - acbm.assigning - DEBUG - Activity 11772: sampling based on floor area\n", - "2024-05-14 18:29:19,656 - acbm.assigning - DEBUG - Activity 11773: Initial number of options for activity = 131\n", - "2024-05-14 18:29:19,659 - acbm.assigning - DEBUG - Activity 11773: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:19,660 - acbm.assigning - DEBUG - Activity 11773: sampling based on floor area\n", - "2024-05-14 18:29:19,662 - acbm.assigning - DEBUG - Activity 11783: Initial number of options for activity = 85\n", - "2024-05-14 18:29:19,665 - acbm.assigning - DEBUG - Activity 11783: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:19,666 - acbm.assigning - DEBUG - Activity 11783: sampling based on floor area\n", - "2024-05-14 18:29:19,667 - acbm.assigning - DEBUG - Activity 11866: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,670 - acbm.assigning - DEBUG - Activity 11866: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,671 - acbm.assigning - DEBUG - Activity 11866: sampling based on floor area\n", - "2024-05-14 18:29:19,672 - acbm.assigning - DEBUG - Activity 11873: Initial number of options for activity = 37\n", - "2024-05-14 18:29:19,675 - acbm.assigning - DEBUG - Activity 11873: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:19,676 - acbm.assigning - DEBUG - Activity 11873: sampling based on floor area\n", - "2024-05-14 18:29:19,677 - acbm.assigning - DEBUG - Activity 11874: Initial number of options for activity = 37\n", - "2024-05-14 18:29:19,680 - acbm.assigning - DEBUG - Activity 11874: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:19,682 - acbm.assigning - DEBUG - Activity 11874: sampling based on floor area\n", - "2024-05-14 18:29:19,683 - acbm.assigning - DEBUG - Activity 12187: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,686 - acbm.assigning - DEBUG - Activity 12187: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,688 - acbm.assigning - DEBUG - Activity 12187: sampling based on floor area\n", - "2024-05-14 18:29:19,689 - acbm.assigning - DEBUG - Activity 12191: Initial number of options for activity = 13\n", - "2024-05-14 18:29:19,692 - acbm.assigning - DEBUG - Activity 12191: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:19,694 - acbm.assigning - DEBUG - Activity 12191: sampling based on floor area\n", - "2024-05-14 18:29:19,695 - acbm.assigning - DEBUG - Activity 12193: Initial number of options for activity = 65\n", - "2024-05-14 18:29:19,699 - acbm.assigning - DEBUG - Activity 12193: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:19,700 - acbm.assigning - DEBUG - Activity 12193: sampling based on floor area\n", - "2024-05-14 18:29:19,702 - acbm.assigning - DEBUG - Activity 12195: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,705 - acbm.assigning - DEBUG - Activity 12195: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,706 - acbm.assigning - DEBUG - Activity 12195: sampling based on floor area\n", - "2024-05-14 18:29:19,708 - acbm.assigning - DEBUG - Activity 12197: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,710 - acbm.assigning - DEBUG - Activity 12197: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,711 - acbm.assigning - DEBUG - Activity 12197: sampling based on floor area\n", - "2024-05-14 18:29:19,713 - acbm.assigning - INFO - Activity 12401: No zones available\n", - "2024-05-14 18:29:19,714 - acbm.assigning - INFO - Activity 12403: No zones available\n", - "2024-05-14 18:29:19,714 - acbm.assigning - INFO - Activity 12405: No zones available\n", - "2024-05-14 18:29:19,715 - acbm.assigning - INFO - Activity 12407: No zones available\n", - "2024-05-14 18:29:19,715 - acbm.assigning - DEBUG - Activity 12558: Initial number of options for activity = 15\n", - "2024-05-14 18:29:19,718 - acbm.assigning - DEBUG - Activity 12558: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:19,719 - acbm.assigning - DEBUG - Activity 12558: sampling based on floor area\n", - "2024-05-14 18:29:19,720 - acbm.assigning - DEBUG - Activity 12568: Initial number of options for activity = 15\n", - "2024-05-14 18:29:19,724 - acbm.assigning - DEBUG - Activity 12568: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:19,725 - acbm.assigning - DEBUG - Activity 12568: sampling based on floor area\n", - "2024-05-14 18:29:19,726 - acbm.assigning - INFO - Activity 12764: No zones available\n", - "2024-05-14 18:29:19,727 - acbm.assigning - DEBUG - Activity 13062: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,729 - acbm.assigning - DEBUG - Activity 13062: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,730 - acbm.assigning - DEBUG - Activity 13062: sampling based on floor area\n", - "2024-05-14 18:29:19,731 - acbm.assigning - DEBUG - Activity 13070: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,734 - acbm.assigning - DEBUG - Activity 13070: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,734 - acbm.assigning - DEBUG - Activity 13070: sampling based on floor area\n", - "2024-05-14 18:29:19,736 - acbm.assigning - DEBUG - Activity 13072: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,741 - acbm.assigning - DEBUG - Activity 13072: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,743 - acbm.assigning - DEBUG - Activity 13072: sampling based on floor area\n", - "2024-05-14 18:29:19,745 - acbm.assigning - DEBUG - Activity 13076: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,748 - acbm.assigning - DEBUG - Activity 13076: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,749 - acbm.assigning - DEBUG - Activity 13076: sampling based on floor area\n", - "2024-05-14 18:29:19,751 - acbm.assigning - DEBUG - Activity 13115: Initial number of options for activity = 27\n", - "2024-05-14 18:29:19,754 - acbm.assigning - DEBUG - Activity 13115: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:19,756 - acbm.assigning - DEBUG - Activity 13115: sampling based on floor area\n", - "2024-05-14 18:29:19,758 - acbm.assigning - DEBUG - Activity 13116: Initial number of options for activity = 27\n", - "2024-05-14 18:29:19,764 - acbm.assigning - DEBUG - Activity 13116: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:19,765 - acbm.assigning - DEBUG - Activity 13116: sampling based on floor area\n", - "2024-05-14 18:29:19,767 - acbm.assigning - DEBUG - Activity 13117: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,770 - acbm.assigning - DEBUG - Activity 13117: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,771 - acbm.assigning - DEBUG - Activity 13117: sampling based on floor area\n", - "2024-05-14 18:29:19,773 - acbm.assigning - DEBUG - Activity 13120: Initial number of options for activity = 27\n", - "2024-05-14 18:29:19,775 - acbm.assigning - DEBUG - Activity 13120: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:19,776 - acbm.assigning - DEBUG - Activity 13120: sampling based on floor area\n", - "2024-05-14 18:29:19,778 - acbm.assigning - DEBUG - Activity 13122: Initial number of options for activity = 27\n", - "2024-05-14 18:29:19,782 - acbm.assigning - DEBUG - Activity 13122: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:19,783 - acbm.assigning - DEBUG - Activity 13122: sampling based on floor area\n", - "2024-05-14 18:29:19,785 - acbm.assigning - DEBUG - Activity 13123: Initial number of options for activity = 27\n", - "2024-05-14 18:29:19,788 - acbm.assigning - DEBUG - Activity 13123: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:19,789 - acbm.assigning - DEBUG - Activity 13123: sampling based on floor area\n", - "2024-05-14 18:29:19,791 - acbm.assigning - DEBUG - Activity 13124: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,793 - acbm.assigning - DEBUG - Activity 13124: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,794 - acbm.assigning - DEBUG - Activity 13124: sampling based on floor area\n", - "2024-05-14 18:29:19,796 - acbm.assigning - DEBUG - Activity 13141: Initial number of options for activity = 55\n", - "2024-05-14 18:29:19,798 - acbm.assigning - DEBUG - Activity 13141: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:19,799 - acbm.assigning - DEBUG - Activity 13141: sampling based on floor area\n", - "2024-05-14 18:29:19,800 - acbm.assigning - DEBUG - Activity 13143: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,803 - acbm.assigning - DEBUG - Activity 13143: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,805 - acbm.assigning - DEBUG - Activity 13143: sampling based on floor area\n", - "2024-05-14 18:29:19,806 - acbm.assigning - DEBUG - Activity 13145: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,810 - acbm.assigning - DEBUG - Activity 13145: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,811 - acbm.assigning - DEBUG - Activity 13145: sampling based on floor area\n", - "2024-05-14 18:29:19,813 - acbm.assigning - DEBUG - Activity 13147: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,816 - acbm.assigning - DEBUG - Activity 13147: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,817 - acbm.assigning - DEBUG - Activity 13147: sampling based on floor area\n", - "2024-05-14 18:29:19,819 - acbm.assigning - DEBUG - Activity 13390: Initial number of options for activity = 102\n", - "2024-05-14 18:29:19,821 - acbm.assigning - DEBUG - Activity 13390: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:19,822 - acbm.assigning - DEBUG - Activity 13390: sampling based on floor area\n", - "2024-05-14 18:29:19,823 - acbm.assigning - DEBUG - Activity 13391: Initial number of options for activity = 102\n", - "2024-05-14 18:29:19,826 - acbm.assigning - DEBUG - Activity 13391: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:19,827 - acbm.assigning - DEBUG - Activity 13391: sampling based on floor area\n", - "2024-05-14 18:29:19,828 - acbm.assigning - DEBUG - Activity 13401: Initial number of options for activity = 102\n", - "2024-05-14 18:29:19,830 - acbm.assigning - DEBUG - Activity 13401: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:19,831 - acbm.assigning - DEBUG - Activity 13401: sampling based on floor area\n", - "2024-05-14 18:29:19,832 - acbm.assigning - DEBUG - Activity 13406: Initial number of options for activity = 102\n", - "2024-05-14 18:29:19,834 - acbm.assigning - DEBUG - Activity 13406: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:19,834 - acbm.assigning - DEBUG - Activity 13406: sampling based on floor area\n", - "2024-05-14 18:29:19,836 - acbm.assigning - DEBUG - Activity 13410: Initial number of options for activity = 46\n", - "2024-05-14 18:29:19,838 - acbm.assigning - DEBUG - Activity 13410: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:19,839 - acbm.assigning - DEBUG - Activity 13410: sampling based on floor area\n", - "2024-05-14 18:29:19,841 - acbm.assigning - DEBUG - Activity 13414: Initial number of options for activity = 46\n", - "2024-05-14 18:29:19,844 - acbm.assigning - DEBUG - Activity 13414: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:19,845 - acbm.assigning - DEBUG - Activity 13414: sampling based on floor area\n", - "2024-05-14 18:29:19,847 - acbm.assigning - DEBUG - Activity 13421: Initial number of options for activity = 46\n", - "2024-05-14 18:29:19,849 - acbm.assigning - DEBUG - Activity 13421: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:19,850 - acbm.assigning - DEBUG - Activity 13421: sampling based on floor area\n", - "2024-05-14 18:29:19,852 - acbm.assigning - DEBUG - Activity 13423: Initial number of options for activity = 46\n", - "2024-05-14 18:29:19,855 - acbm.assigning - DEBUG - Activity 13423: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:19,856 - acbm.assigning - DEBUG - Activity 13423: sampling based on floor area\n", - "2024-05-14 18:29:19,858 - acbm.assigning - DEBUG - Activity 13778: Initial number of options for activity = 158\n", - "2024-05-14 18:29:19,861 - acbm.assigning - DEBUG - Activity 13778: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:19,862 - acbm.assigning - DEBUG - Activity 13778: sampling based on floor area\n", - "2024-05-14 18:29:19,865 - acbm.assigning - DEBUG - Activity 13779: Initial number of options for activity = 158\n", - "2024-05-14 18:29:19,868 - acbm.assigning - DEBUG - Activity 13779: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:19,869 - acbm.assigning - DEBUG - Activity 13779: sampling based on floor area\n", - "2024-05-14 18:29:19,872 - acbm.assigning - DEBUG - Activity 13784: Initial number of options for activity = 158\n", - "2024-05-14 18:29:19,875 - acbm.assigning - DEBUG - Activity 13784: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:19,877 - acbm.assigning - DEBUG - Activity 13784: sampling based on floor area\n", - "2024-05-14 18:29:19,878 - acbm.assigning - DEBUG - Activity 13785: Initial number of options for activity = 158\n", - "2024-05-14 18:29:19,881 - acbm.assigning - DEBUG - Activity 13785: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:19,882 - acbm.assigning - DEBUG - Activity 13785: sampling based on floor area\n", - "2024-05-14 18:29:19,883 - acbm.assigning - DEBUG - Activity 13787: Initial number of options for activity = 158\n", - "2024-05-14 18:29:19,886 - acbm.assigning - DEBUG - Activity 13787: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:19,888 - acbm.assigning - DEBUG - Activity 13787: sampling based on floor area\n", - "2024-05-14 18:29:19,890 - acbm.assigning - DEBUG - Activity 13970: Initial number of options for activity = 11\n", - "2024-05-14 18:29:19,895 - acbm.assigning - DEBUG - Activity 13970: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:19,904 - acbm.assigning - DEBUG - Activity 13970: sampling based on floor area\n", - "2024-05-14 18:29:19,906 - acbm.assigning - DEBUG - Activity 13971: Initial number of options for activity = 52\n", - "2024-05-14 18:29:19,909 - acbm.assigning - DEBUG - Activity 13971: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:19,911 - acbm.assigning - DEBUG - Activity 13971: sampling based on floor area\n", - "2024-05-14 18:29:19,913 - acbm.assigning - DEBUG - Activity 13975: Initial number of options for activity = 29\n", - "2024-05-14 18:29:19,917 - acbm.assigning - DEBUG - Activity 13975: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:19,918 - acbm.assigning - DEBUG - Activity 13975: sampling based on floor area\n", - "2024-05-14 18:29:19,920 - acbm.assigning - DEBUG - Activity 13976: Initial number of options for activity = 29\n", - "2024-05-14 18:29:19,923 - acbm.assigning - DEBUG - Activity 13976: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:19,924 - acbm.assigning - DEBUG - Activity 13976: sampling based on floor area\n", - "2024-05-14 18:29:19,927 - acbm.assigning - DEBUG - Activity 13978: Initial number of options for activity = 52\n", - "2024-05-14 18:29:19,930 - acbm.assigning - DEBUG - Activity 13978: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:19,931 - acbm.assigning - DEBUG - Activity 13978: sampling based on floor area\n", - "2024-05-14 18:29:19,933 - acbm.assigning - DEBUG - Activity 14231: Initial number of options for activity = 14\n", - "2024-05-14 18:29:19,936 - acbm.assigning - DEBUG - Activity 14231: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:19,937 - acbm.assigning - DEBUG - Activity 14231: sampling based on floor area\n", - "2024-05-14 18:29:19,939 - acbm.assigning - DEBUG - Activity 14233: Initial number of options for activity = 6\n", - "2024-05-14 18:29:19,942 - acbm.assigning - DEBUG - Activity 14233: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:19,943 - acbm.assigning - DEBUG - Activity 14233: sampling based on floor area\n", - "2024-05-14 18:29:19,945 - acbm.assigning - DEBUG - Activity 14237: Initial number of options for activity = 6\n", - "2024-05-14 18:29:19,948 - acbm.assigning - DEBUG - Activity 14237: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:19,950 - acbm.assigning - DEBUG - Activity 14237: sampling based on floor area\n", - "2024-05-14 18:29:19,952 - acbm.assigning - DEBUG - Activity 14630: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,955 - acbm.assigning - DEBUG - Activity 14630: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,956 - acbm.assigning - DEBUG - Activity 14630: sampling based on floor area\n", - "2024-05-14 18:29:19,958 - acbm.assigning - DEBUG - Activity 14633: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,960 - acbm.assigning - DEBUG - Activity 14633: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,962 - acbm.assigning - DEBUG - Activity 14633: sampling based on floor area\n", - "2024-05-14 18:29:19,963 - acbm.assigning - DEBUG - Activity 14634: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,966 - acbm.assigning - DEBUG - Activity 14634: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,967 - acbm.assigning - DEBUG - Activity 14634: sampling based on floor area\n", - "2024-05-14 18:29:19,969 - acbm.assigning - DEBUG - Activity 14635: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,973 - acbm.assigning - DEBUG - Activity 14635: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,974 - acbm.assigning - DEBUG - Activity 14635: sampling based on floor area\n", - "2024-05-14 18:29:19,976 - acbm.assigning - DEBUG - Activity 14637: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,980 - acbm.assigning - DEBUG - Activity 14637: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,981 - acbm.assigning - DEBUG - Activity 14637: sampling based on floor area\n", - "2024-05-14 18:29:19,982 - acbm.assigning - DEBUG - Activity 14768: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,985 - acbm.assigning - DEBUG - Activity 14768: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,986 - acbm.assigning - DEBUG - Activity 14768: sampling based on floor area\n", - "2024-05-14 18:29:19,988 - acbm.assigning - INFO - Activity 15027: No zones available\n", - "2024-05-14 18:29:19,989 - acbm.assigning - DEBUG - Activity 15178: Initial number of options for activity = 3\n", - "2024-05-14 18:29:19,991 - acbm.assigning - DEBUG - Activity 15178: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:19,993 - acbm.assigning - DEBUG - Activity 15178: sampling based on floor area\n", - "2024-05-14 18:29:19,994 - acbm.assigning - DEBUG - Activity 15181: Initial number of options for activity = 1\n", - "2024-05-14 18:29:19,997 - acbm.assigning - DEBUG - Activity 15181: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:19,998 - acbm.assigning - DEBUG - Activity 15181: sampling based on floor area\n", - "2024-05-14 18:29:20,000 - acbm.assigning - DEBUG - Activity 15188: Initial number of options for activity = 17\n", - "2024-05-14 18:29:20,003 - acbm.assigning - DEBUG - Activity 15188: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:20,004 - acbm.assigning - DEBUG - Activity 15188: sampling based on floor area\n", - "2024-05-14 18:29:20,006 - acbm.assigning - DEBUG - Activity 15190: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,008 - acbm.assigning - DEBUG - Activity 15190: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,009 - acbm.assigning - DEBUG - Activity 15190: sampling based on floor area\n", - "2024-05-14 18:29:20,011 - acbm.assigning - DEBUG - Activity 15191: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,013 - acbm.assigning - DEBUG - Activity 15191: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,014 - acbm.assigning - DEBUG - Activity 15191: sampling based on floor area\n", - "2024-05-14 18:29:20,015 - acbm.assigning - INFO - Activity 15475: No zones available\n", - "2024-05-14 18:29:20,016 - acbm.assigning - DEBUG - Activity 15476: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,018 - acbm.assigning - DEBUG - Activity 15476: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,019 - acbm.assigning - DEBUG - Activity 15476: sampling based on floor area\n", - "2024-05-14 18:29:20,021 - acbm.assigning - DEBUG - Activity 15477: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,023 - acbm.assigning - DEBUG - Activity 15477: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,024 - acbm.assigning - DEBUG - Activity 15477: sampling based on floor area\n", - "2024-05-14 18:29:20,025 - acbm.assigning - DEBUG - Activity 15524: Initial number of options for activity = 9\n", - "2024-05-14 18:29:20,028 - acbm.assigning - DEBUG - Activity 15524: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:20,029 - acbm.assigning - DEBUG - Activity 15524: sampling based on floor area\n", - "2024-05-14 18:29:20,030 - acbm.assigning - DEBUG - Activity 15526: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,033 - acbm.assigning - DEBUG - Activity 15526: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,034 - acbm.assigning - DEBUG - Activity 15526: sampling based on floor area\n", - "2024-05-14 18:29:20,036 - acbm.assigning - DEBUG - Activity 15532: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,038 - acbm.assigning - DEBUG - Activity 15532: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,039 - acbm.assigning - DEBUG - Activity 15532: sampling based on floor area\n", - "2024-05-14 18:29:20,041 - acbm.assigning - DEBUG - Activity 15533: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,044 - acbm.assigning - DEBUG - Activity 15533: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,045 - acbm.assigning - DEBUG - Activity 15533: sampling based on floor area\n", - "2024-05-14 18:29:20,048 - acbm.assigning - DEBUG - Activity 15534: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,050 - acbm.assigning - DEBUG - Activity 15534: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,051 - acbm.assigning - DEBUG - Activity 15534: sampling based on floor area\n", - "2024-05-14 18:29:20,054 - acbm.assigning - DEBUG - Activity 15621: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,056 - acbm.assigning - DEBUG - Activity 15621: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,058 - acbm.assigning - DEBUG - Activity 15621: sampling based on floor area\n", - "2024-05-14 18:29:20,059 - acbm.assigning - DEBUG - Activity 15622: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,062 - acbm.assigning - DEBUG - Activity 15622: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,063 - acbm.assigning - DEBUG - Activity 15622: sampling based on floor area\n", - "2024-05-14 18:29:20,065 - acbm.assigning - DEBUG - Activity 15623: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,069 - acbm.assigning - DEBUG - Activity 15623: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,070 - acbm.assigning - DEBUG - Activity 15623: sampling based on floor area\n", - "2024-05-14 18:29:20,072 - acbm.assigning - DEBUG - Activity 15625: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,075 - acbm.assigning - DEBUG - Activity 15625: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,076 - acbm.assigning - DEBUG - Activity 15625: sampling based on floor area\n", - "2024-05-14 18:29:20,078 - acbm.assigning - DEBUG - Activity 15627: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,080 - acbm.assigning - DEBUG - Activity 15627: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,081 - acbm.assigning - DEBUG - Activity 15627: sampling based on floor area\n", - "2024-05-14 18:29:20,083 - acbm.assigning - DEBUG - Activity 15782: Initial number of options for activity = 18\n", - "2024-05-14 18:29:20,086 - acbm.assigning - DEBUG - Activity 15782: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:20,087 - acbm.assigning - DEBUG - Activity 15782: sampling based on floor area\n", - "2024-05-14 18:29:20,088 - acbm.assigning - DEBUG - Activity 15784: Initial number of options for activity = 18\n", - "2024-05-14 18:29:20,091 - acbm.assigning - DEBUG - Activity 15784: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:20,092 - acbm.assigning - DEBUG - Activity 15784: sampling based on floor area\n", - "2024-05-14 18:29:20,093 - acbm.assigning - DEBUG - Activity 15787: Initial number of options for activity = 18\n", - "2024-05-14 18:29:20,095 - acbm.assigning - DEBUG - Activity 15787: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:20,096 - acbm.assigning - DEBUG - Activity 15787: sampling based on floor area\n", - "2024-05-14 18:29:20,097 - acbm.assigning - DEBUG - Activity 15796: Initial number of options for activity = 18\n", - "2024-05-14 18:29:20,099 - acbm.assigning - DEBUG - Activity 15796: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:20,100 - acbm.assigning - DEBUG - Activity 15796: sampling based on floor area\n", - "2024-05-14 18:29:20,101 - acbm.assigning - DEBUG - Activity 15798: Initial number of options for activity = 18\n", - "2024-05-14 18:29:20,104 - acbm.assigning - DEBUG - Activity 15798: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:20,105 - acbm.assigning - DEBUG - Activity 15798: sampling based on floor area\n", - "2024-05-14 18:29:20,107 - acbm.assigning - DEBUG - Activity 15966: Initial number of options for activity = 4\n", - "2024-05-14 18:29:20,109 - acbm.assigning - DEBUG - Activity 15966: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:20,110 - acbm.assigning - DEBUG - Activity 15966: sampling based on floor area\n", - "2024-05-14 18:29:20,112 - acbm.assigning - DEBUG - Activity 16206: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,114 - acbm.assigning - DEBUG - Activity 16206: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,115 - acbm.assigning - DEBUG - Activity 16206: sampling based on floor area\n", - "2024-05-14 18:29:20,117 - acbm.assigning - DEBUG - Activity 16208: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,120 - acbm.assigning - DEBUG - Activity 16208: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,121 - acbm.assigning - DEBUG - Activity 16208: sampling based on floor area\n", - "2024-05-14 18:29:20,122 - acbm.assigning - DEBUG - Activity 16212: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,125 - acbm.assigning - DEBUG - Activity 16212: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,126 - acbm.assigning - DEBUG - Activity 16212: sampling based on floor area\n", - "2024-05-14 18:29:20,127 - acbm.assigning - DEBUG - Activity 16214: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,129 - acbm.assigning - DEBUG - Activity 16214: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,130 - acbm.assigning - DEBUG - Activity 16214: sampling based on floor area\n", - "2024-05-14 18:29:20,132 - acbm.assigning - DEBUG - Activity 16216: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,134 - acbm.assigning - DEBUG - Activity 16216: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,135 - acbm.assigning - DEBUG - Activity 16216: sampling based on floor area\n", - "2024-05-14 18:29:20,136 - acbm.assigning - DEBUG - Activity 16311: Initial number of options for activity = 7\n", - "2024-05-14 18:29:20,139 - acbm.assigning - DEBUG - Activity 16311: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:20,140 - acbm.assigning - DEBUG - Activity 16311: sampling based on floor area\n", - "2024-05-14 18:29:20,142 - acbm.assigning - DEBUG - Activity 16363: Initial number of options for activity = 42\n", - "2024-05-14 18:29:20,144 - acbm.assigning - DEBUG - Activity 16363: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:20,145 - acbm.assigning - DEBUG - Activity 16363: sampling based on floor area\n", - "2024-05-14 18:29:20,146 - acbm.assigning - DEBUG - Activity 16579: Initial number of options for activity = 31\n", - "2024-05-14 18:29:20,148 - acbm.assigning - DEBUG - Activity 16579: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:20,149 - acbm.assigning - DEBUG - Activity 16579: sampling based on floor area\n", - "2024-05-14 18:29:20,150 - acbm.assigning - DEBUG - Activity 16580: Initial number of options for activity = 10\n", - "2024-05-14 18:29:20,153 - acbm.assigning - DEBUG - Activity 16580: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:20,154 - acbm.assigning - DEBUG - Activity 16580: sampling based on floor area\n", - "2024-05-14 18:29:20,155 - acbm.assigning - DEBUG - Activity 16582: Initial number of options for activity = 10\n", - "2024-05-14 18:29:20,158 - acbm.assigning - DEBUG - Activity 16582: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:20,159 - acbm.assigning - DEBUG - Activity 16582: sampling based on floor area\n", - "2024-05-14 18:29:20,160 - acbm.assigning - DEBUG - Activity 16584: Initial number of options for activity = 10\n", - "2024-05-14 18:29:20,163 - acbm.assigning - DEBUG - Activity 16584: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:20,164 - acbm.assigning - DEBUG - Activity 16584: sampling based on floor area\n", - "2024-05-14 18:29:20,166 - acbm.assigning - DEBUG - Activity 16585: Initial number of options for activity = 14\n", - "2024-05-14 18:29:20,168 - acbm.assigning - DEBUG - Activity 16585: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:20,169 - acbm.assigning - DEBUG - Activity 16585: sampling based on floor area\n", - "2024-05-14 18:29:20,171 - acbm.assigning - DEBUG - Activity 16689: Initial number of options for activity = 17\n", - "2024-05-14 18:29:20,174 - acbm.assigning - DEBUG - Activity 16689: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:20,176 - acbm.assigning - DEBUG - Activity 16689: sampling based on floor area\n", - "2024-05-14 18:29:20,177 - acbm.assigning - DEBUG - Activity 16694: Initial number of options for activity = 17\n", - "2024-05-14 18:29:20,179 - acbm.assigning - DEBUG - Activity 16694: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:20,180 - acbm.assigning - DEBUG - Activity 16694: sampling based on floor area\n", - "2024-05-14 18:29:20,181 - acbm.assigning - DEBUG - Activity 16787: Initial number of options for activity = 6\n", - "2024-05-14 18:29:20,183 - acbm.assigning - DEBUG - Activity 16787: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:20,184 - acbm.assigning - DEBUG - Activity 16787: sampling based on floor area\n", - "2024-05-14 18:29:20,186 - acbm.assigning - DEBUG - Activity 16789: Initial number of options for activity = 6\n", - "2024-05-14 18:29:20,189 - acbm.assigning - DEBUG - Activity 16789: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:20,190 - acbm.assigning - DEBUG - Activity 16789: sampling based on floor area\n", - "2024-05-14 18:29:20,192 - acbm.assigning - DEBUG - Activity 16790: Initial number of options for activity = 6\n", - "2024-05-14 18:29:20,203 - acbm.assigning - DEBUG - Activity 16790: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:20,205 - acbm.assigning - DEBUG - Activity 16790: sampling based on floor area\n", - "2024-05-14 18:29:20,208 - acbm.assigning - DEBUG - Activity 16791: Initial number of options for activity = 6\n", - "2024-05-14 18:29:20,211 - acbm.assigning - DEBUG - Activity 16791: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:20,212 - acbm.assigning - DEBUG - Activity 16791: sampling based on floor area\n", - "2024-05-14 18:29:20,214 - acbm.assigning - DEBUG - Activity 16927: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,217 - acbm.assigning - DEBUG - Activity 16927: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,218 - acbm.assigning - DEBUG - Activity 16927: sampling based on floor area\n", - "2024-05-14 18:29:20,220 - acbm.assigning - DEBUG - Activity 16929: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,223 - acbm.assigning - DEBUG - Activity 16929: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,224 - acbm.assigning - DEBUG - Activity 16929: sampling based on floor area\n", - "2024-05-14 18:29:20,225 - acbm.assigning - DEBUG - Activity 16931: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,228 - acbm.assigning - DEBUG - Activity 16931: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,229 - acbm.assigning - DEBUG - Activity 16931: sampling based on floor area\n", - "2024-05-14 18:29:20,229 - acbm.assigning - DEBUG - Activity 16933: Initial number of options for activity = 20\n", - "2024-05-14 18:29:20,232 - acbm.assigning - DEBUG - Activity 16933: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:20,233 - acbm.assigning - DEBUG - Activity 16933: sampling based on floor area\n", - "2024-05-14 18:29:20,235 - acbm.assigning - DEBUG - Activity 16961: Initial number of options for activity = 46\n", - "2024-05-14 18:29:20,238 - acbm.assigning - DEBUG - Activity 16961: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:20,239 - acbm.assigning - DEBUG - Activity 16961: sampling based on floor area\n", - "2024-05-14 18:29:20,241 - acbm.assigning - DEBUG - Activity 16965: Initial number of options for activity = 46\n", - "2024-05-14 18:29:20,244 - acbm.assigning - DEBUG - Activity 16965: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:20,245 - acbm.assigning - DEBUG - Activity 16965: sampling based on floor area\n", - "2024-05-14 18:29:20,246 - acbm.assigning - DEBUG - Activity 16967: Initial number of options for activity = 46\n", - "2024-05-14 18:29:20,249 - acbm.assigning - DEBUG - Activity 16967: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:20,250 - acbm.assigning - DEBUG - Activity 16967: sampling based on floor area\n", - "2024-05-14 18:29:20,251 - acbm.assigning - DEBUG - Activity 16969: Initial number of options for activity = 46\n", - "2024-05-14 18:29:20,254 - acbm.assigning - DEBUG - Activity 16969: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:20,255 - acbm.assigning - DEBUG - Activity 16969: sampling based on floor area\n", - "2024-05-14 18:29:20,257 - acbm.assigning - DEBUG - Activity 16973: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,260 - acbm.assigning - DEBUG - Activity 16973: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,261 - acbm.assigning - DEBUG - Activity 16973: sampling based on floor area\n", - "2024-05-14 18:29:20,262 - acbm.assigning - DEBUG - Activity 16975: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,265 - acbm.assigning - DEBUG - Activity 16975: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,266 - acbm.assigning - DEBUG - Activity 16975: sampling based on floor area\n", - "2024-05-14 18:29:20,268 - acbm.assigning - DEBUG - Activity 16977: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,271 - acbm.assigning - DEBUG - Activity 16977: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,272 - acbm.assigning - DEBUG - Activity 16977: sampling based on floor area\n", - "2024-05-14 18:29:20,275 - acbm.assigning - DEBUG - Activity 16981: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,279 - acbm.assigning - DEBUG - Activity 16981: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,280 - acbm.assigning - DEBUG - Activity 16981: sampling based on floor area\n", - "2024-05-14 18:29:20,282 - acbm.assigning - DEBUG - Activity 17369: Initial number of options for activity = 2\n", - "2024-05-14 18:29:20,285 - acbm.assigning - DEBUG - Activity 17369: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:20,286 - acbm.assigning - DEBUG - Activity 17369: sampling based on floor area\n", - "2024-05-14 18:29:20,287 - acbm.assigning - DEBUG - Activity 17370: Initial number of options for activity = 2\n", - "2024-05-14 18:29:20,290 - acbm.assigning - DEBUG - Activity 17370: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:20,291 - acbm.assigning - DEBUG - Activity 17370: sampling based on floor area\n", - "2024-05-14 18:29:20,293 - acbm.assigning - DEBUG - Activity 17414: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,297 - acbm.assigning - DEBUG - Activity 17414: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,298 - acbm.assigning - DEBUG - Activity 17414: sampling based on floor area\n", - "2024-05-14 18:29:20,300 - acbm.assigning - DEBUG - Activity 17416: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,308 - acbm.assigning - DEBUG - Activity 17416: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,309 - acbm.assigning - DEBUG - Activity 17416: sampling based on floor area\n", - "2024-05-14 18:29:20,313 - acbm.assigning - DEBUG - Activity 17420: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,319 - acbm.assigning - DEBUG - Activity 17420: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,320 - acbm.assigning - DEBUG - Activity 17420: sampling based on floor area\n", - "2024-05-14 18:29:20,324 - acbm.assigning - DEBUG - Activity 17422: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,328 - acbm.assigning - DEBUG - Activity 17422: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,330 - acbm.assigning - DEBUG - Activity 17422: sampling based on floor area\n", - "2024-05-14 18:29:20,333 - acbm.assigning - DEBUG - Activity 17424: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,338 - acbm.assigning - DEBUG - Activity 17424: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,341 - acbm.assigning - DEBUG - Activity 17424: sampling based on floor area\n", - "2024-05-14 18:29:20,347 - acbm.assigning - DEBUG - Activity 17466: Initial number of options for activity = 5\n", - "2024-05-14 18:29:20,354 - acbm.assigning - DEBUG - Activity 17466: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:20,356 - acbm.assigning - DEBUG - Activity 17466: sampling based on floor area\n", - "2024-05-14 18:29:20,359 - acbm.assigning - DEBUG - Activity 17470: Initial number of options for activity = 5\n", - "2024-05-14 18:29:20,363 - acbm.assigning - DEBUG - Activity 17470: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:20,367 - acbm.assigning - DEBUG - Activity 17470: sampling based on floor area\n", - "2024-05-14 18:29:20,370 - acbm.assigning - DEBUG - Activity 17478: Initial number of options for activity = 11\n", - "2024-05-14 18:29:20,374 - acbm.assigning - DEBUG - Activity 17478: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:20,376 - acbm.assigning - DEBUG - Activity 17478: sampling based on floor area\n", - "2024-05-14 18:29:20,378 - acbm.assigning - DEBUG - Activity 17866: Initial number of options for activity = 17\n", - "2024-05-14 18:29:20,382 - acbm.assigning - DEBUG - Activity 17866: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:20,383 - acbm.assigning - DEBUG - Activity 17866: sampling based on floor area\n", - "2024-05-14 18:29:20,386 - acbm.assigning - DEBUG - Activity 17868: Initial number of options for activity = 17\n", - "2024-05-14 18:29:20,389 - acbm.assigning - DEBUG - Activity 17868: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:20,391 - acbm.assigning - DEBUG - Activity 17868: sampling based on floor area\n", - "2024-05-14 18:29:20,393 - acbm.assigning - DEBUG - Activity 17870: Initial number of options for activity = 17\n", - "2024-05-14 18:29:20,395 - acbm.assigning - DEBUG - Activity 17870: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:20,397 - acbm.assigning - DEBUG - Activity 17870: sampling based on floor area\n", - "2024-05-14 18:29:20,401 - acbm.assigning - DEBUG - Activity 17872: Initial number of options for activity = 17\n", - "2024-05-14 18:29:20,406 - acbm.assigning - DEBUG - Activity 17872: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:20,407 - acbm.assigning - DEBUG - Activity 17872: sampling based on floor area\n", - "2024-05-14 18:29:20,409 - acbm.assigning - DEBUG - Activity 18040: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,414 - acbm.assigning - DEBUG - Activity 18040: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,418 - acbm.assigning - DEBUG - Activity 18040: sampling based on floor area\n", - "2024-05-14 18:29:20,425 - acbm.assigning - DEBUG - Activity 18042: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,428 - acbm.assigning - DEBUG - Activity 18042: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,429 - acbm.assigning - DEBUG - Activity 18042: sampling based on floor area\n", - "2024-05-14 18:29:20,430 - acbm.assigning - DEBUG - Activity 18046: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,432 - acbm.assigning - DEBUG - Activity 18046: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,434 - acbm.assigning - DEBUG - Activity 18046: sampling based on floor area\n", - "2024-05-14 18:29:20,435 - acbm.assigning - DEBUG - Activity 18048: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,438 - acbm.assigning - DEBUG - Activity 18048: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,439 - acbm.assigning - DEBUG - Activity 18048: sampling based on floor area\n", - "2024-05-14 18:29:20,441 - acbm.assigning - DEBUG - Activity 18050: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,444 - acbm.assigning - DEBUG - Activity 18050: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,445 - acbm.assigning - DEBUG - Activity 18050: sampling based on floor area\n", - "2024-05-14 18:29:20,446 - acbm.assigning - DEBUG - Activity 18095: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,449 - acbm.assigning - DEBUG - Activity 18095: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,450 - acbm.assigning - DEBUG - Activity 18095: sampling based on floor area\n", - "2024-05-14 18:29:20,452 - acbm.assigning - DEBUG - Activity 18097: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,455 - acbm.assigning - DEBUG - Activity 18097: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,456 - acbm.assigning - DEBUG - Activity 18097: sampling based on floor area\n", - "2024-05-14 18:29:20,459 - acbm.assigning - DEBUG - Activity 18099: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,464 - acbm.assigning - DEBUG - Activity 18099: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,466 - acbm.assigning - DEBUG - Activity 18099: sampling based on floor area\n", - "2024-05-14 18:29:20,468 - acbm.assigning - DEBUG - Activity 18101: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,471 - acbm.assigning - DEBUG - Activity 18101: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,473 - acbm.assigning - DEBUG - Activity 18101: sampling based on floor area\n", - "2024-05-14 18:29:20,475 - acbm.assigning - DEBUG - Activity 18326: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,478 - acbm.assigning - DEBUG - Activity 18326: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,479 - acbm.assigning - DEBUG - Activity 18326: sampling based on floor area\n", - "2024-05-14 18:29:20,481 - acbm.assigning - DEBUG - Activity 18327: Initial number of options for activity = 10\n", - "2024-05-14 18:29:20,485 - acbm.assigning - DEBUG - Activity 18327: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:20,487 - acbm.assigning - DEBUG - Activity 18327: sampling based on floor area\n", - "2024-05-14 18:29:20,489 - acbm.assigning - DEBUG - Activity 18330: Initial number of options for activity = 10\n", - "2024-05-14 18:29:20,494 - acbm.assigning - DEBUG - Activity 18330: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:20,495 - acbm.assigning - DEBUG - Activity 18330: sampling based on floor area\n", - "2024-05-14 18:29:20,497 - acbm.assigning - DEBUG - Activity 18333: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,500 - acbm.assigning - DEBUG - Activity 18333: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,502 - acbm.assigning - DEBUG - Activity 18333: sampling based on floor area\n", - "2024-05-14 18:29:20,505 - acbm.assigning - DEBUG - Activity 18337: Initial number of options for activity = 10\n", - "2024-05-14 18:29:20,509 - acbm.assigning - DEBUG - Activity 18337: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:20,511 - acbm.assigning - DEBUG - Activity 18337: sampling based on floor area\n", - "2024-05-14 18:29:20,513 - acbm.assigning - DEBUG - Activity 18342: Initial number of options for activity = 3\n", - "2024-05-14 18:29:20,515 - acbm.assigning - DEBUG - Activity 18342: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:20,516 - acbm.assigning - DEBUG - Activity 18342: sampling based on floor area\n", - "2024-05-14 18:29:20,518 - acbm.assigning - DEBUG - Activity 18343: Initial number of options for activity = 3\n", - "2024-05-14 18:29:20,524 - acbm.assigning - DEBUG - Activity 18343: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:20,525 - acbm.assigning - DEBUG - Activity 18343: sampling based on floor area\n", - "2024-05-14 18:29:20,527 - acbm.assigning - DEBUG - Activity 18440: Initial number of options for activity = 49\n", - "2024-05-14 18:29:20,531 - acbm.assigning - DEBUG - Activity 18440: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:20,532 - acbm.assigning - DEBUG - Activity 18440: sampling based on floor area\n", - "2024-05-14 18:29:20,535 - acbm.assigning - DEBUG - Activity 18441: Initial number of options for activity = 49\n", - "2024-05-14 18:29:20,539 - acbm.assigning - DEBUG - Activity 18441: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:20,540 - acbm.assigning - DEBUG - Activity 18441: sampling based on floor area\n", - "2024-05-14 18:29:20,543 - acbm.assigning - DEBUG - Activity 18442: Initial number of options for activity = 49\n", - "2024-05-14 18:29:20,547 - acbm.assigning - DEBUG - Activity 18442: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:20,548 - acbm.assigning - DEBUG - Activity 18442: sampling based on floor area\n", - "2024-05-14 18:29:20,550 - acbm.assigning - DEBUG - Activity 18443: Initial number of options for activity = 49\n", - "2024-05-14 18:29:20,554 - acbm.assigning - DEBUG - Activity 18443: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:20,555 - acbm.assigning - DEBUG - Activity 18443: sampling based on floor area\n", - "2024-05-14 18:29:20,557 - acbm.assigning - DEBUG - Activity 18445: Initial number of options for activity = 49\n", - "2024-05-14 18:29:20,561 - acbm.assigning - DEBUG - Activity 18445: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:20,562 - acbm.assigning - DEBUG - Activity 18445: sampling based on floor area\n", - "2024-05-14 18:29:20,564 - acbm.assigning - DEBUG - Activity 18744: Initial number of options for activity = 36\n", - "2024-05-14 18:29:20,567 - acbm.assigning - DEBUG - Activity 18744: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:20,568 - acbm.assigning - DEBUG - Activity 18744: sampling based on floor area\n", - "2024-05-14 18:29:20,569 - acbm.assigning - DEBUG - Activity 18746: Initial number of options for activity = 36\n", - "2024-05-14 18:29:20,573 - acbm.assigning - DEBUG - Activity 18746: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:20,574 - acbm.assigning - DEBUG - Activity 18746: sampling based on floor area\n", - "2024-05-14 18:29:20,576 - acbm.assigning - DEBUG - Activity 18750: Initial number of options for activity = 36\n", - "2024-05-14 18:29:20,579 - acbm.assigning - DEBUG - Activity 18750: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:20,581 - acbm.assigning - DEBUG - Activity 18750: sampling based on floor area\n", - "2024-05-14 18:29:20,583 - acbm.assigning - DEBUG - Activity 18752: Initial number of options for activity = 36\n", - "2024-05-14 18:29:20,586 - acbm.assigning - DEBUG - Activity 18752: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:20,587 - acbm.assigning - DEBUG - Activity 18752: sampling based on floor area\n", - "2024-05-14 18:29:20,588 - acbm.assigning - DEBUG - Activity 18754: Initial number of options for activity = 36\n", - "2024-05-14 18:29:20,591 - acbm.assigning - DEBUG - Activity 18754: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:20,592 - acbm.assigning - DEBUG - Activity 18754: sampling based on floor area\n", - "2024-05-14 18:29:20,594 - acbm.assigning - DEBUG - Activity 18969: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,596 - acbm.assigning - DEBUG - Activity 18969: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,598 - acbm.assigning - DEBUG - Activity 18969: sampling based on floor area\n", - "2024-05-14 18:29:20,599 - acbm.assigning - DEBUG - Activity 18986: Initial number of options for activity = 11\n", - "2024-05-14 18:29:20,602 - acbm.assigning - DEBUG - Activity 18986: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:20,602 - acbm.assigning - DEBUG - Activity 18986: sampling based on floor area\n", - "2024-05-14 18:29:20,604 - acbm.assigning - DEBUG - Activity 18989: Initial number of options for activity = 11\n", - "2024-05-14 18:29:20,607 - acbm.assigning - DEBUG - Activity 18989: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:20,608 - acbm.assigning - DEBUG - Activity 18989: sampling based on floor area\n", - "2024-05-14 18:29:20,610 - acbm.assigning - DEBUG - Activity 18991: Initial number of options for activity = 11\n", - "2024-05-14 18:29:20,612 - acbm.assigning - DEBUG - Activity 18991: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:20,613 - acbm.assigning - DEBUG - Activity 18991: sampling based on floor area\n", - "2024-05-14 18:29:20,614 - acbm.assigning - DEBUG - Activity 18992: Initial number of options for activity = 11\n", - "2024-05-14 18:29:20,616 - acbm.assigning - DEBUG - Activity 18992: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:20,618 - acbm.assigning - DEBUG - Activity 18992: sampling based on floor area\n", - "2024-05-14 18:29:20,619 - acbm.assigning - DEBUG - Activity 18994: Initial number of options for activity = 11\n", - "2024-05-14 18:29:20,621 - acbm.assigning - DEBUG - Activity 18994: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:20,622 - acbm.assigning - DEBUG - Activity 18994: sampling based on floor area\n", - "2024-05-14 18:29:20,624 - acbm.assigning - DEBUG - Activity 18995: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,626 - acbm.assigning - DEBUG - Activity 18995: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,627 - acbm.assigning - DEBUG - Activity 18995: sampling based on floor area\n", - "2024-05-14 18:29:20,628 - acbm.assigning - DEBUG - Activity 18998: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,630 - acbm.assigning - DEBUG - Activity 18998: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,631 - acbm.assigning - DEBUG - Activity 18998: sampling based on floor area\n", - "2024-05-14 18:29:20,633 - acbm.assigning - DEBUG - Activity 19086: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,636 - acbm.assigning - DEBUG - Activity 19086: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,637 - acbm.assigning - DEBUG - Activity 19086: sampling based on floor area\n", - "2024-05-14 18:29:20,639 - acbm.assigning - DEBUG - Activity 19341: Initial number of options for activity = 8\n", - "2024-05-14 18:29:20,643 - acbm.assigning - DEBUG - Activity 19341: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:20,644 - acbm.assigning - DEBUG - Activity 19341: sampling based on floor area\n", - "2024-05-14 18:29:20,646 - acbm.assigning - DEBUG - Activity 19343: Initial number of options for activity = 8\n", - "2024-05-14 18:29:20,649 - acbm.assigning - DEBUG - Activity 19343: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:20,651 - acbm.assigning - DEBUG - Activity 19343: sampling based on floor area\n", - "2024-05-14 18:29:20,652 - acbm.assigning - DEBUG - Activity 19353: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,655 - acbm.assigning - DEBUG - Activity 19353: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,656 - acbm.assigning - DEBUG - Activity 19353: sampling based on floor area\n", - "2024-05-14 18:29:20,658 - acbm.assigning - DEBUG - Activity 19355: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,660 - acbm.assigning - DEBUG - Activity 19355: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,660 - acbm.assigning - DEBUG - Activity 19355: sampling based on floor area\n", - "2024-05-14 18:29:20,662 - acbm.assigning - DEBUG - Activity 19367: Initial number of options for activity = 3\n", - "2024-05-14 18:29:20,665 - acbm.assigning - DEBUG - Activity 19367: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:20,666 - acbm.assigning - DEBUG - Activity 19367: sampling based on floor area\n", - "2024-05-14 18:29:20,668 - acbm.assigning - DEBUG - Activity 19371: Initial number of options for activity = 3\n", - "2024-05-14 18:29:20,671 - acbm.assigning - DEBUG - Activity 19371: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:20,672 - acbm.assigning - DEBUG - Activity 19371: sampling based on floor area\n", - "2024-05-14 18:29:20,674 - acbm.assigning - DEBUG - Activity 19373: Initial number of options for activity = 3\n", - "2024-05-14 18:29:20,676 - acbm.assigning - DEBUG - Activity 19373: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:20,677 - acbm.assigning - DEBUG - Activity 19373: sampling based on floor area\n", - "2024-05-14 18:29:20,678 - acbm.assigning - DEBUG - Activity 19384: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,680 - acbm.assigning - DEBUG - Activity 19384: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,681 - acbm.assigning - DEBUG - Activity 19384: sampling based on floor area\n", - "2024-05-14 18:29:20,682 - acbm.assigning - DEBUG - Activity 19386: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,684 - acbm.assigning - DEBUG - Activity 19386: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,684 - acbm.assigning - DEBUG - Activity 19386: sampling based on floor area\n", - "2024-05-14 18:29:20,686 - acbm.assigning - DEBUG - Activity 19466: Initial number of options for activity = 7\n", - "2024-05-14 18:29:20,688 - acbm.assigning - DEBUG - Activity 19466: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:20,689 - acbm.assigning - DEBUG - Activity 19466: sampling based on floor area\n", - "2024-05-14 18:29:20,691 - acbm.assigning - DEBUG - Activity 19468: Initial number of options for activity = 7\n", - "2024-05-14 18:29:20,692 - acbm.assigning - DEBUG - Activity 19468: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:20,693 - acbm.assigning - DEBUG - Activity 19468: sampling based on floor area\n", - "2024-05-14 18:29:20,695 - acbm.assigning - DEBUG - Activity 19472: Initial number of options for activity = 7\n", - "2024-05-14 18:29:20,696 - acbm.assigning - DEBUG - Activity 19472: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:20,697 - acbm.assigning - DEBUG - Activity 19472: sampling based on floor area\n", - "2024-05-14 18:29:20,698 - acbm.assigning - DEBUG - Activity 19474: Initial number of options for activity = 7\n", - "2024-05-14 18:29:20,700 - acbm.assigning - DEBUG - Activity 19474: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:20,701 - acbm.assigning - DEBUG - Activity 19474: sampling based on floor area\n", - "2024-05-14 18:29:20,702 - acbm.assigning - DEBUG - Activity 19501: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,704 - acbm.assigning - DEBUG - Activity 19501: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,704 - acbm.assigning - DEBUG - Activity 19501: sampling based on floor area\n", - "2024-05-14 18:29:20,706 - acbm.assigning - DEBUG - Activity 19502: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,708 - acbm.assigning - DEBUG - Activity 19502: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,709 - acbm.assigning - DEBUG - Activity 19502: sampling based on floor area\n", - "2024-05-14 18:29:20,711 - acbm.assigning - DEBUG - Activity 19503: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,712 - acbm.assigning - DEBUG - Activity 19503: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,713 - acbm.assigning - DEBUG - Activity 19503: sampling based on floor area\n", - "2024-05-14 18:29:20,714 - acbm.assigning - DEBUG - Activity 19507: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,716 - acbm.assigning - DEBUG - Activity 19507: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,716 - acbm.assigning - DEBUG - Activity 19507: sampling based on floor area\n", - "2024-05-14 18:29:20,718 - acbm.assigning - DEBUG - Activity 19510: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,719 - acbm.assigning - DEBUG - Activity 19510: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,720 - acbm.assigning - DEBUG - Activity 19510: sampling based on floor area\n", - "2024-05-14 18:29:20,722 - acbm.assigning - INFO - Activity 19585: No zones available\n", - "2024-05-14 18:29:20,722 - acbm.assigning - DEBUG - Activity 19651: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,725 - acbm.assigning - DEBUG - Activity 19651: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,726 - acbm.assigning - DEBUG - Activity 19651: sampling based on floor area\n", - "2024-05-14 18:29:20,728 - acbm.assigning - INFO - Activity 19653: No zones available\n", - "2024-05-14 18:29:20,729 - acbm.assigning - DEBUG - Activity 19659: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,731 - acbm.assigning - DEBUG - Activity 19659: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,732 - acbm.assigning - DEBUG - Activity 19659: sampling based on floor area\n", - "2024-05-14 18:29:20,733 - acbm.assigning - INFO - Activity 19668: No zones available\n", - "2024-05-14 18:29:20,733 - acbm.assigning - DEBUG - Activity 19673: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,735 - acbm.assigning - DEBUG - Activity 19673: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,736 - acbm.assigning - DEBUG - Activity 19673: sampling based on floor area\n", - "2024-05-14 18:29:20,737 - acbm.assigning - DEBUG - Activity 19675: Initial number of options for activity = 24\n", - "2024-05-14 18:29:20,739 - acbm.assigning - DEBUG - Activity 19675: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:20,739 - acbm.assigning - DEBUG - Activity 19675: sampling based on floor area\n", - "2024-05-14 18:29:20,741 - acbm.assigning - DEBUG - Activity 19777: Initial number of options for activity = 15\n", - "2024-05-14 18:29:20,743 - acbm.assigning - DEBUG - Activity 19777: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:20,744 - acbm.assigning - DEBUG - Activity 19777: sampling based on floor area\n", - "2024-05-14 18:29:20,746 - acbm.assigning - DEBUG - Activity 19779: Initial number of options for activity = 15\n", - "2024-05-14 18:29:20,748 - acbm.assigning - DEBUG - Activity 19779: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:20,749 - acbm.assigning - DEBUG - Activity 19779: sampling based on floor area\n", - "2024-05-14 18:29:20,750 - acbm.assigning - DEBUG - Activity 19783: Initial number of options for activity = 15\n", - "2024-05-14 18:29:20,752 - acbm.assigning - DEBUG - Activity 19783: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:20,752 - acbm.assigning - DEBUG - Activity 19783: sampling based on floor area\n", - "2024-05-14 18:29:20,754 - acbm.assigning - DEBUG - Activity 19785: Initial number of options for activity = 15\n", - "2024-05-14 18:29:20,756 - acbm.assigning - DEBUG - Activity 19785: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:20,758 - acbm.assigning - DEBUG - Activity 19785: sampling based on floor area\n", - "2024-05-14 18:29:20,759 - acbm.assigning - DEBUG - Activity 19787: Initial number of options for activity = 15\n", - "2024-05-14 18:29:20,762 - acbm.assigning - DEBUG - Activity 19787: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:20,770 - acbm.assigning - DEBUG - Activity 19787: sampling based on floor area\n", - "2024-05-14 18:29:20,772 - acbm.assigning - DEBUG - Activity 19950: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,776 - acbm.assigning - DEBUG - Activity 19950: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,776 - acbm.assigning - DEBUG - Activity 19950: sampling based on floor area\n", - "2024-05-14 18:29:20,778 - acbm.assigning - DEBUG - Activity 19952: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,781 - acbm.assigning - DEBUG - Activity 19952: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,782 - acbm.assigning - DEBUG - Activity 19952: sampling based on floor area\n", - "2024-05-14 18:29:20,784 - acbm.assigning - DEBUG - Activity 19954: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,787 - acbm.assigning - DEBUG - Activity 19954: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,788 - acbm.assigning - DEBUG - Activity 19954: sampling based on floor area\n", - "2024-05-14 18:29:20,789 - acbm.assigning - DEBUG - Activity 19956: Initial number of options for activity = 23\n", - "2024-05-14 18:29:20,792 - acbm.assigning - DEBUG - Activity 19956: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:20,793 - acbm.assigning - DEBUG - Activity 19956: sampling based on floor area\n", - "2024-05-14 18:29:20,794 - acbm.assigning - DEBUG - Activity 20093: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,796 - acbm.assigning - DEBUG - Activity 20093: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,797 - acbm.assigning - DEBUG - Activity 20093: sampling based on floor area\n", - "2024-05-14 18:29:20,798 - acbm.assigning - DEBUG - Activity 20095: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,801 - acbm.assigning - DEBUG - Activity 20095: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,801 - acbm.assigning - DEBUG - Activity 20095: sampling based on floor area\n", - "2024-05-14 18:29:20,803 - acbm.assigning - DEBUG - Activity 20097: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,805 - acbm.assigning - DEBUG - Activity 20097: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,806 - acbm.assigning - DEBUG - Activity 20097: sampling based on floor area\n", - "2024-05-14 18:29:20,807 - acbm.assigning - DEBUG - Activity 20099: Initial number of options for activity = 32\n", - "2024-05-14 18:29:20,809 - acbm.assigning - DEBUG - Activity 20099: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:20,810 - acbm.assigning - DEBUG - Activity 20099: sampling based on floor area\n", - "2024-05-14 18:29:20,812 - acbm.assigning - DEBUG - Activity 20130: Initial number of options for activity = 25\n", - "2024-05-14 18:29:20,814 - acbm.assigning - DEBUG - Activity 20130: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:20,815 - acbm.assigning - DEBUG - Activity 20130: sampling based on floor area\n", - "2024-05-14 18:29:20,816 - acbm.assigning - DEBUG - Activity 20132: Initial number of options for activity = 25\n", - "2024-05-14 18:29:20,818 - acbm.assigning - DEBUG - Activity 20132: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:20,819 - acbm.assigning - DEBUG - Activity 20132: sampling based on floor area\n", - "2024-05-14 18:29:20,820 - acbm.assigning - DEBUG - Activity 20134: Initial number of options for activity = 25\n", - "2024-05-14 18:29:20,824 - acbm.assigning - DEBUG - Activity 20134: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:20,825 - acbm.assigning - DEBUG - Activity 20134: sampling based on floor area\n", - "2024-05-14 18:29:20,826 - acbm.assigning - DEBUG - Activity 20136: Initial number of options for activity = 25\n", - "2024-05-14 18:29:20,828 - acbm.assigning - DEBUG - Activity 20136: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:20,829 - acbm.assigning - DEBUG - Activity 20136: sampling based on floor area\n", - "2024-05-14 18:29:20,830 - acbm.assigning - DEBUG - Activity 20138: Initial number of options for activity = 25\n", - "2024-05-14 18:29:20,833 - acbm.assigning - DEBUG - Activity 20138: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:20,834 - acbm.assigning - DEBUG - Activity 20138: sampling based on floor area\n", - "2024-05-14 18:29:20,835 - acbm.assigning - DEBUG - Activity 20418: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,838 - acbm.assigning - DEBUG - Activity 20418: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,839 - acbm.assigning - DEBUG - Activity 20418: sampling based on floor area\n", - "2024-05-14 18:29:20,840 - acbm.assigning - DEBUG - Activity 20419: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,842 - acbm.assigning - DEBUG - Activity 20419: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,843 - acbm.assigning - DEBUG - Activity 20419: sampling based on floor area\n", - "2024-05-14 18:29:20,844 - acbm.assigning - DEBUG - Activity 20423: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,846 - acbm.assigning - DEBUG - Activity 20423: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,847 - acbm.assigning - DEBUG - Activity 20423: sampling based on floor area\n", - "2024-05-14 18:29:20,848 - acbm.assigning - DEBUG - Activity 20424: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,850 - acbm.assigning - DEBUG - Activity 20424: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,851 - acbm.assigning - DEBUG - Activity 20424: sampling based on floor area\n", - "2024-05-14 18:29:20,852 - acbm.assigning - DEBUG - Activity 20427: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,854 - acbm.assigning - DEBUG - Activity 20427: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,855 - acbm.assigning - DEBUG - Activity 20427: sampling based on floor area\n", - "2024-05-14 18:29:20,857 - acbm.assigning - DEBUG - Activity 20533: Initial number of options for activity = 12\n", - "2024-05-14 18:29:20,860 - acbm.assigning - DEBUG - Activity 20533: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:20,861 - acbm.assigning - DEBUG - Activity 20533: sampling based on floor area\n", - "2024-05-14 18:29:20,863 - acbm.assigning - DEBUG - Activity 20538: Initial number of options for activity = 12\n", - "2024-05-14 18:29:20,866 - acbm.assigning - DEBUG - Activity 20538: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:20,867 - acbm.assigning - DEBUG - Activity 20538: sampling based on floor area\n", - "2024-05-14 18:29:20,868 - acbm.assigning - DEBUG - Activity 20544: Initial number of options for activity = 12\n", - "2024-05-14 18:29:20,871 - acbm.assigning - DEBUG - Activity 20544: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:20,872 - acbm.assigning - DEBUG - Activity 20544: sampling based on floor area\n", - "2024-05-14 18:29:20,873 - acbm.assigning - DEBUG - Activity 20545: Initial number of options for activity = 12\n", - "2024-05-14 18:29:20,876 - acbm.assigning - DEBUG - Activity 20545: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:20,876 - acbm.assigning - DEBUG - Activity 20545: sampling based on floor area\n", - "2024-05-14 18:29:20,878 - acbm.assigning - DEBUG - Activity 20546: Initial number of options for activity = 12\n", - "2024-05-14 18:29:20,880 - acbm.assigning - DEBUG - Activity 20546: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:20,881 - acbm.assigning - DEBUG - Activity 20546: sampling based on floor area\n", - "2024-05-14 18:29:20,882 - acbm.assigning - DEBUG - Activity 20547: Initial number of options for activity = 12\n", - "2024-05-14 18:29:20,884 - acbm.assigning - DEBUG - Activity 20547: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:20,885 - acbm.assigning - DEBUG - Activity 20547: sampling based on floor area\n", - "2024-05-14 18:29:20,886 - acbm.assigning - DEBUG - Activity 20660: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,889 - acbm.assigning - DEBUG - Activity 20660: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,890 - acbm.assigning - DEBUG - Activity 20660: sampling based on floor area\n", - "2024-05-14 18:29:20,892 - acbm.assigning - DEBUG - Activity 20718: Initial number of options for activity = 98\n", - "2024-05-14 18:29:20,903 - acbm.assigning - DEBUG - Activity 20718: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:20,905 - acbm.assigning - DEBUG - Activity 20718: sampling based on floor area\n", - "2024-05-14 18:29:20,907 - acbm.assigning - DEBUG - Activity 20720: Initial number of options for activity = 98\n", - "2024-05-14 18:29:20,912 - acbm.assigning - DEBUG - Activity 20720: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:20,913 - acbm.assigning - DEBUG - Activity 20720: sampling based on floor area\n", - "2024-05-14 18:29:20,915 - acbm.assigning - DEBUG - Activity 20722: Initial number of options for activity = 98\n", - "2024-05-14 18:29:20,917 - acbm.assigning - DEBUG - Activity 20722: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:20,918 - acbm.assigning - DEBUG - Activity 20722: sampling based on floor area\n", - "2024-05-14 18:29:20,920 - acbm.assigning - DEBUG - Activity 20724: Initial number of options for activity = 98\n", - "2024-05-14 18:29:20,922 - acbm.assigning - DEBUG - Activity 20724: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:20,923 - acbm.assigning - DEBUG - Activity 20724: sampling based on floor area\n", - "2024-05-14 18:29:20,924 - acbm.assigning - DEBUG - Activity 20726: Initial number of options for activity = 98\n", - "2024-05-14 18:29:20,927 - acbm.assigning - DEBUG - Activity 20726: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:20,928 - acbm.assigning - DEBUG - Activity 20726: sampling based on floor area\n", - "2024-05-14 18:29:20,929 - acbm.assigning - DEBUG - Activity 20826: Initial number of options for activity = 44\n", - "2024-05-14 18:29:20,931 - acbm.assigning - DEBUG - Activity 20826: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:20,932 - acbm.assigning - DEBUG - Activity 20826: sampling based on floor area\n", - "2024-05-14 18:29:20,933 - acbm.assigning - DEBUG - Activity 20828: Initial number of options for activity = 44\n", - "2024-05-14 18:29:20,935 - acbm.assigning - DEBUG - Activity 20828: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:20,936 - acbm.assigning - DEBUG - Activity 20828: sampling based on floor area\n", - "2024-05-14 18:29:20,937 - acbm.assigning - DEBUG - Activity 20830: Initial number of options for activity = 44\n", - "2024-05-14 18:29:20,940 - acbm.assigning - DEBUG - Activity 20830: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:20,941 - acbm.assigning - DEBUG - Activity 20830: sampling based on floor area\n", - "2024-05-14 18:29:20,943 - acbm.assigning - DEBUG - Activity 20832: Initial number of options for activity = 44\n", - "2024-05-14 18:29:20,945 - acbm.assigning - DEBUG - Activity 20832: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:20,945 - acbm.assigning - DEBUG - Activity 20832: sampling based on floor area\n", - "2024-05-14 18:29:20,946 - acbm.assigning - DEBUG - Activity 20882: Initial number of options for activity = 6\n", - "2024-05-14 18:29:20,948 - acbm.assigning - DEBUG - Activity 20882: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:20,949 - acbm.assigning - DEBUG - Activity 20882: sampling based on floor area\n", - "2024-05-14 18:29:20,950 - acbm.assigning - DEBUG - Activity 20884: Initial number of options for activity = 6\n", - "2024-05-14 18:29:20,953 - acbm.assigning - DEBUG - Activity 20884: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:20,954 - acbm.assigning - DEBUG - Activity 20884: sampling based on floor area\n", - "2024-05-14 18:29:20,955 - acbm.assigning - DEBUG - Activity 21020: Initial number of options for activity = 121\n", - "2024-05-14 18:29:20,957 - acbm.assigning - DEBUG - Activity 21020: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:20,958 - acbm.assigning - DEBUG - Activity 21020: sampling based on floor area\n", - "2024-05-14 18:29:20,959 - acbm.assigning - DEBUG - Activity 21022: Initial number of options for activity = 121\n", - "2024-05-14 18:29:20,962 - acbm.assigning - DEBUG - Activity 21022: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:20,963 - acbm.assigning - DEBUG - Activity 21022: sampling based on floor area\n", - "2024-05-14 18:29:20,964 - acbm.assigning - DEBUG - Activity 21024: Initial number of options for activity = 121\n", - "2024-05-14 18:29:20,966 - acbm.assigning - DEBUG - Activity 21024: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:20,967 - acbm.assigning - DEBUG - Activity 21024: sampling based on floor area\n", - "2024-05-14 18:29:20,968 - acbm.assigning - DEBUG - Activity 21026: Initial number of options for activity = 121\n", - "2024-05-14 18:29:20,971 - acbm.assigning - DEBUG - Activity 21026: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:20,972 - acbm.assigning - DEBUG - Activity 21026: sampling based on floor area\n", - "2024-05-14 18:29:20,974 - acbm.assigning - DEBUG - Activity 21028: Initial number of options for activity = 121\n", - "2024-05-14 18:29:20,976 - acbm.assigning - DEBUG - Activity 21028: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:20,977 - acbm.assigning - DEBUG - Activity 21028: sampling based on floor area\n", - "2024-05-14 18:29:20,978 - acbm.assigning - DEBUG - Activity 21189: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,981 - acbm.assigning - DEBUG - Activity 21189: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,981 - acbm.assigning - DEBUG - Activity 21189: sampling based on floor area\n", - "2024-05-14 18:29:20,982 - acbm.assigning - DEBUG - Activity 21295: Initial number of options for activity = 4\n", - "2024-05-14 18:29:20,985 - acbm.assigning - DEBUG - Activity 21295: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:20,986 - acbm.assigning - DEBUG - Activity 21295: sampling based on floor area\n", - "2024-05-14 18:29:20,987 - acbm.assigning - DEBUG - Activity 21298: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,989 - acbm.assigning - DEBUG - Activity 21298: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,990 - acbm.assigning - DEBUG - Activity 21298: sampling based on floor area\n", - "2024-05-14 18:29:20,992 - acbm.assigning - DEBUG - Activity 21299: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,994 - acbm.assigning - DEBUG - Activity 21299: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,995 - acbm.assigning - DEBUG - Activity 21299: sampling based on floor area\n", - "2024-05-14 18:29:20,996 - acbm.assigning - DEBUG - Activity 21301: Initial number of options for activity = 1\n", - "2024-05-14 18:29:20,998 - acbm.assigning - DEBUG - Activity 21301: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:20,999 - acbm.assigning - DEBUG - Activity 21301: sampling based on floor area\n", - "2024-05-14 18:29:21,000 - acbm.assigning - DEBUG - Activity 21304: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,002 - acbm.assigning - DEBUG - Activity 21304: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,003 - acbm.assigning - DEBUG - Activity 21304: sampling based on floor area\n", - "2024-05-14 18:29:21,004 - acbm.assigning - DEBUG - Activity 21370: Initial number of options for activity = 39\n", - "2024-05-14 18:29:21,007 - acbm.assigning - DEBUG - Activity 21370: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:21,007 - acbm.assigning - DEBUG - Activity 21370: sampling based on floor area\n", - "2024-05-14 18:29:21,009 - acbm.assigning - DEBUG - Activity 21371: Initial number of options for activity = 7\n", - "2024-05-14 18:29:21,011 - acbm.assigning - DEBUG - Activity 21371: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:21,011 - acbm.assigning - DEBUG - Activity 21371: sampling based on floor area\n", - "2024-05-14 18:29:21,013 - acbm.assigning - DEBUG - Activity 21379: Initial number of options for activity = 39\n", - "2024-05-14 18:29:21,015 - acbm.assigning - DEBUG - Activity 21379: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:21,016 - acbm.assigning - DEBUG - Activity 21379: sampling based on floor area\n", - "2024-05-14 18:29:21,017 - acbm.assigning - DEBUG - Activity 21380: Initial number of options for activity = 39\n", - "2024-05-14 18:29:21,019 - acbm.assigning - DEBUG - Activity 21380: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:21,020 - acbm.assigning - DEBUG - Activity 21380: sampling based on floor area\n", - "2024-05-14 18:29:21,025 - acbm.assigning - INFO - Activity 21415: No zones available\n", - "2024-05-14 18:29:21,026 - acbm.assigning - INFO - Activity 21416: No zones available\n", - "2024-05-14 18:29:21,026 - acbm.assigning - INFO - Activity 21418: No zones available\n", - "2024-05-14 18:29:21,027 - acbm.assigning - INFO - Activity 21419: No zones available\n", - "2024-05-14 18:29:21,028 - acbm.assigning - INFO - Activity 21422: No zones available\n", - "2024-05-14 18:29:21,028 - acbm.assigning - DEBUG - Activity 21425: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,031 - acbm.assigning - DEBUG - Activity 21425: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,032 - acbm.assigning - DEBUG - Activity 21425: sampling based on floor area\n", - "2024-05-14 18:29:21,034 - acbm.assigning - DEBUG - Activity 21426: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,037 - acbm.assigning - DEBUG - Activity 21426: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,038 - acbm.assigning - DEBUG - Activity 21426: sampling based on floor area\n", - "2024-05-14 18:29:21,039 - acbm.assigning - DEBUG - Activity 21430: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,041 - acbm.assigning - DEBUG - Activity 21430: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,042 - acbm.assigning - DEBUG - Activity 21430: sampling based on floor area\n", - "2024-05-14 18:29:21,046 - acbm.assigning - DEBUG - Activity 21433: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,048 - acbm.assigning - DEBUG - Activity 21433: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,049 - acbm.assigning - DEBUG - Activity 21433: sampling based on floor area\n", - "2024-05-14 18:29:21,051 - acbm.assigning - DEBUG - Activity 21868: Initial number of options for activity = 9\n", - "2024-05-14 18:29:21,054 - acbm.assigning - DEBUG - Activity 21868: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:21,055 - acbm.assigning - DEBUG - Activity 21868: sampling based on floor area\n", - "2024-05-14 18:29:21,057 - acbm.assigning - DEBUG - Activity 21870: Initial number of options for activity = 14\n", - "2024-05-14 18:29:21,059 - acbm.assigning - DEBUG - Activity 21870: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:21,060 - acbm.assigning - DEBUG - Activity 21870: sampling based on floor area\n", - "2024-05-14 18:29:21,061 - acbm.assigning - DEBUG - Activity 21872: Initial number of options for activity = 4\n", - "2024-05-14 18:29:21,064 - acbm.assigning - DEBUG - Activity 21872: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:21,065 - acbm.assigning - DEBUG - Activity 21872: sampling based on floor area\n", - "2024-05-14 18:29:21,066 - acbm.assigning - DEBUG - Activity 21874: Initial number of options for activity = 5\n", - "2024-05-14 18:29:21,068 - acbm.assigning - DEBUG - Activity 21874: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:21,069 - acbm.assigning - DEBUG - Activity 21874: sampling based on floor area\n", - "2024-05-14 18:29:21,071 - acbm.assigning - DEBUG - Activity 21911: Initial number of options for activity = 9\n", - "2024-05-14 18:29:21,073 - acbm.assigning - DEBUG - Activity 21911: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:21,074 - acbm.assigning - DEBUG - Activity 21911: sampling based on floor area\n", - "2024-05-14 18:29:21,076 - acbm.assigning - DEBUG - Activity 21921: Initial number of options for activity = 9\n", - "2024-05-14 18:29:21,078 - acbm.assigning - DEBUG - Activity 21921: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:21,079 - acbm.assigning - DEBUG - Activity 21921: sampling based on floor area\n", - "2024-05-14 18:29:21,081 - acbm.assigning - DEBUG - Activity 21923: Initial number of options for activity = 9\n", - "2024-05-14 18:29:21,083 - acbm.assigning - DEBUG - Activity 21923: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:21,084 - acbm.assigning - DEBUG - Activity 21923: sampling based on floor area\n", - "2024-05-14 18:29:21,085 - acbm.assigning - DEBUG - Activity 21927: Initial number of options for activity = 9\n", - "2024-05-14 18:29:21,088 - acbm.assigning - DEBUG - Activity 21927: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:21,089 - acbm.assigning - DEBUG - Activity 21927: sampling based on floor area\n", - "2024-05-14 18:29:21,090 - acbm.assigning - DEBUG - Activity 21929: Initial number of options for activity = 9\n", - "2024-05-14 18:29:21,093 - acbm.assigning - DEBUG - Activity 21929: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:21,094 - acbm.assigning - DEBUG - Activity 21929: sampling based on floor area\n", - "2024-05-14 18:29:21,095 - acbm.assigning - DEBUG - Activity 22013: Initial number of options for activity = 116\n", - "2024-05-14 18:29:21,097 - acbm.assigning - DEBUG - Activity 22013: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:21,098 - acbm.assigning - DEBUG - Activity 22013: sampling based on floor area\n", - "2024-05-14 18:29:21,098 - acbm.assigning - DEBUG - Activity 22015: Initial number of options for activity = 30\n", - "2024-05-14 18:29:21,101 - acbm.assigning - DEBUG - Activity 22015: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:21,102 - acbm.assigning - DEBUG - Activity 22015: sampling based on floor area\n", - "2024-05-14 18:29:21,103 - acbm.assigning - DEBUG - Activity 22019: Initial number of options for activity = 17\n", - "2024-05-14 18:29:21,107 - acbm.assigning - DEBUG - Activity 22019: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:21,108 - acbm.assigning - DEBUG - Activity 22019: sampling based on floor area\n", - "2024-05-14 18:29:21,109 - acbm.assigning - DEBUG - Activity 22020: Initial number of options for activity = 94\n", - "2024-05-14 18:29:21,111 - acbm.assigning - DEBUG - Activity 22020: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:21,112 - acbm.assigning - DEBUG - Activity 22020: sampling based on floor area\n", - "2024-05-14 18:29:21,113 - acbm.assigning - DEBUG - Activity 22025: Initial number of options for activity = 81\n", - "2024-05-14 18:29:21,116 - acbm.assigning - DEBUG - Activity 22025: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:21,131 - acbm.assigning - DEBUG - Activity 22025: sampling based on floor area\n", - "2024-05-14 18:29:21,134 - acbm.assigning - DEBUG - Activity 22091: Initial number of options for activity = 8\n", - "2024-05-14 18:29:21,138 - acbm.assigning - DEBUG - Activity 22091: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:21,140 - acbm.assigning - DEBUG - Activity 22091: sampling based on floor area\n", - "2024-05-14 18:29:21,150 - acbm.assigning - DEBUG - Activity 22093: Initial number of options for activity = 5\n", - "2024-05-14 18:29:21,153 - acbm.assigning - DEBUG - Activity 22093: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:21,154 - acbm.assigning - DEBUG - Activity 22093: sampling based on floor area\n", - "2024-05-14 18:29:21,156 - acbm.assigning - DEBUG - Activity 22095: Initial number of options for activity = 13\n", - "2024-05-14 18:29:21,158 - acbm.assigning - DEBUG - Activity 22095: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:21,159 - acbm.assigning - DEBUG - Activity 22095: sampling based on floor area\n", - "2024-05-14 18:29:21,161 - acbm.assigning - INFO - Activity 22103: No zones available\n", - "2024-05-14 18:29:21,162 - acbm.assigning - DEBUG - Activity 22132: Initial number of options for activity = 14\n", - "2024-05-14 18:29:21,165 - acbm.assigning - DEBUG - Activity 22132: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:21,166 - acbm.assigning - DEBUG - Activity 22132: sampling based on floor area\n", - "2024-05-14 18:29:21,168 - acbm.assigning - DEBUG - Activity 22138: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,170 - acbm.assigning - DEBUG - Activity 22138: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,172 - acbm.assigning - DEBUG - Activity 22138: sampling based on floor area\n", - "2024-05-14 18:29:21,173 - acbm.assigning - DEBUG - Activity 22141: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,176 - acbm.assigning - DEBUG - Activity 22141: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,177 - acbm.assigning - DEBUG - Activity 22141: sampling based on floor area\n", - "2024-05-14 18:29:21,179 - acbm.assigning - INFO - Activity 22162: No zones available\n", - "2024-05-14 18:29:21,179 - acbm.assigning - INFO - Activity 22164: No zones available\n", - "2024-05-14 18:29:21,180 - acbm.assigning - INFO - Activity 22166: No zones available\n", - "2024-05-14 18:29:21,181 - acbm.assigning - INFO - Activity 22168: No zones available\n", - "2024-05-14 18:29:21,181 - acbm.assigning - INFO - Activity 22170: No zones available\n", - "2024-05-14 18:29:21,182 - acbm.assigning - DEBUG - Activity 22254: Initial number of options for activity = 75\n", - "2024-05-14 18:29:21,185 - acbm.assigning - DEBUG - Activity 22254: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:21,186 - acbm.assigning - DEBUG - Activity 22254: sampling based on floor area\n", - "2024-05-14 18:29:21,188 - acbm.assigning - DEBUG - Activity 22256: Initial number of options for activity = 75\n", - "2024-05-14 18:29:21,191 - acbm.assigning - DEBUG - Activity 22256: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:21,192 - acbm.assigning - DEBUG - Activity 22256: sampling based on floor area\n", - "2024-05-14 18:29:21,194 - acbm.assigning - DEBUG - Activity 22258: Initial number of options for activity = 75\n", - "2024-05-14 18:29:21,197 - acbm.assigning - DEBUG - Activity 22258: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:21,198 - acbm.assigning - DEBUG - Activity 22258: sampling based on floor area\n", - "2024-05-14 18:29:21,214 - acbm.assigning - DEBUG - Activity 22262: Initial number of options for activity = 75\n", - "2024-05-14 18:29:21,217 - acbm.assigning - DEBUG - Activity 22262: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:21,218 - acbm.assigning - DEBUG - Activity 22262: sampling based on floor area\n", - "2024-05-14 18:29:21,220 - acbm.assigning - DEBUG - Activity 22447: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,223 - acbm.assigning - DEBUG - Activity 22447: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,224 - acbm.assigning - DEBUG - Activity 22447: sampling based on floor area\n", - "2024-05-14 18:29:21,226 - acbm.assigning - DEBUG - Activity 22449: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,230 - acbm.assigning - DEBUG - Activity 22449: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,231 - acbm.assigning - DEBUG - Activity 22449: sampling based on floor area\n", - "2024-05-14 18:29:21,233 - acbm.assigning - DEBUG - Activity 22451: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,236 - acbm.assigning - DEBUG - Activity 22451: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,237 - acbm.assigning - DEBUG - Activity 22451: sampling based on floor area\n", - "2024-05-14 18:29:21,238 - acbm.assigning - DEBUG - Activity 22540: Initial number of options for activity = 20\n", - "2024-05-14 18:29:21,240 - acbm.assigning - DEBUG - Activity 22540: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:21,242 - acbm.assigning - DEBUG - Activity 22540: sampling based on floor area\n", - "2024-05-14 18:29:21,243 - acbm.assigning - DEBUG - Activity 22542: Initial number of options for activity = 20\n", - "2024-05-14 18:29:21,245 - acbm.assigning - DEBUG - Activity 22542: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:21,246 - acbm.assigning - DEBUG - Activity 22542: sampling based on floor area\n", - "2024-05-14 18:29:21,247 - acbm.assigning - DEBUG - Activity 22544: Initial number of options for activity = 20\n", - "2024-05-14 18:29:21,250 - acbm.assigning - DEBUG - Activity 22544: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:21,251 - acbm.assigning - DEBUG - Activity 22544: sampling based on floor area\n", - "2024-05-14 18:29:21,252 - acbm.assigning - DEBUG - Activity 22546: Initial number of options for activity = 20\n", - "2024-05-14 18:29:21,255 - acbm.assigning - DEBUG - Activity 22546: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:21,256 - acbm.assigning - DEBUG - Activity 22546: sampling based on floor area\n", - "2024-05-14 18:29:21,258 - acbm.assigning - INFO - Activity 22756: No zones available\n", - "2024-05-14 18:29:21,259 - acbm.assigning - DEBUG - Activity 23121: Initial number of options for activity = 23\n", - "2024-05-14 18:29:21,261 - acbm.assigning - DEBUG - Activity 23121: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:21,262 - acbm.assigning - DEBUG - Activity 23121: sampling based on floor area\n", - "2024-05-14 18:29:21,264 - acbm.assigning - DEBUG - Activity 23125: Initial number of options for activity = 10\n", - "2024-05-14 18:29:21,267 - acbm.assigning - DEBUG - Activity 23125: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:21,267 - acbm.assigning - DEBUG - Activity 23125: sampling based on floor area\n", - "2024-05-14 18:29:21,269 - acbm.assigning - DEBUG - Activity 23127: Initial number of options for activity = 11\n", - "2024-05-14 18:29:21,271 - acbm.assigning - DEBUG - Activity 23127: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:21,274 - acbm.assigning - DEBUG - Activity 23127: sampling based on floor area\n", - "2024-05-14 18:29:21,276 - acbm.assigning - DEBUG - Activity 23129: Initial number of options for activity = 10\n", - "2024-05-14 18:29:21,280 - acbm.assigning - DEBUG - Activity 23129: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:21,282 - acbm.assigning - DEBUG - Activity 23129: sampling based on floor area\n", - "2024-05-14 18:29:21,283 - acbm.assigning - DEBUG - Activity 23131: Initial number of options for activity = 10\n", - "2024-05-14 18:29:21,287 - acbm.assigning - DEBUG - Activity 23131: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:21,289 - acbm.assigning - DEBUG - Activity 23131: sampling based on floor area\n", - "2024-05-14 18:29:21,291 - acbm.assigning - DEBUG - Activity 23218: Initial number of options for activity = 2\n", - "2024-05-14 18:29:21,294 - acbm.assigning - DEBUG - Activity 23218: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:21,297 - acbm.assigning - DEBUG - Activity 23218: sampling based on floor area\n", - "2024-05-14 18:29:21,298 - acbm.assigning - DEBUG - Activity 23219: Initial number of options for activity = 6\n", - "2024-05-14 18:29:21,301 - acbm.assigning - DEBUG - Activity 23219: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:21,303 - acbm.assigning - DEBUG - Activity 23219: sampling based on floor area\n", - "2024-05-14 18:29:21,305 - acbm.assigning - DEBUG - Activity 23221: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,308 - acbm.assigning - DEBUG - Activity 23221: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,309 - acbm.assigning - DEBUG - Activity 23221: sampling based on floor area\n", - "2024-05-14 18:29:21,310 - acbm.assigning - DEBUG - Activity 23222: Initial number of options for activity = 2\n", - "2024-05-14 18:29:21,312 - acbm.assigning - DEBUG - Activity 23222: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:21,313 - acbm.assigning - DEBUG - Activity 23222: sampling based on floor area\n", - "2024-05-14 18:29:21,314 - acbm.assigning - DEBUG - Activity 23530: Initial number of options for activity = 16\n", - "2024-05-14 18:29:21,316 - acbm.assigning - DEBUG - Activity 23530: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:21,317 - acbm.assigning - DEBUG - Activity 23530: sampling based on floor area\n", - "2024-05-14 18:29:21,319 - acbm.assigning - DEBUG - Activity 23532: Initial number of options for activity = 16\n", - "2024-05-14 18:29:21,321 - acbm.assigning - DEBUG - Activity 23532: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:21,322 - acbm.assigning - DEBUG - Activity 23532: sampling based on floor area\n", - "2024-05-14 18:29:21,325 - acbm.assigning - DEBUG - Activity 23534: Initial number of options for activity = 16\n", - "2024-05-14 18:29:21,328 - acbm.assigning - DEBUG - Activity 23534: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:21,329 - acbm.assigning - DEBUG - Activity 23534: sampling based on floor area\n", - "2024-05-14 18:29:21,330 - acbm.assigning - DEBUG - Activity 23536: Initial number of options for activity = 16\n", - "2024-05-14 18:29:21,332 - acbm.assigning - DEBUG - Activity 23536: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:21,332 - acbm.assigning - DEBUG - Activity 23536: sampling based on floor area\n", - "2024-05-14 18:29:21,334 - acbm.assigning - INFO - Activity 23557: No zones available\n", - "2024-05-14 18:29:21,335 - acbm.assigning - DEBUG - Activity 23560: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,337 - acbm.assigning - DEBUG - Activity 23560: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,338 - acbm.assigning - DEBUG - Activity 23560: sampling based on floor area\n", - "2024-05-14 18:29:21,340 - acbm.assigning - INFO - Activity 23579: No zones available\n", - "2024-05-14 18:29:21,340 - acbm.assigning - DEBUG - Activity 23743: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,343 - acbm.assigning - DEBUG - Activity 23743: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,344 - acbm.assigning - DEBUG - Activity 23743: sampling based on floor area\n", - "2024-05-14 18:29:21,346 - acbm.assigning - DEBUG - Activity 23744: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,348 - acbm.assigning - DEBUG - Activity 23744: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,349 - acbm.assigning - DEBUG - Activity 23744: sampling based on floor area\n", - "2024-05-14 18:29:21,350 - acbm.assigning - DEBUG - Activity 23752: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,353 - acbm.assigning - DEBUG - Activity 23752: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,354 - acbm.assigning - DEBUG - Activity 23752: sampling based on floor area\n", - "2024-05-14 18:29:21,356 - acbm.assigning - DEBUG - Activity 23755: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,360 - acbm.assigning - DEBUG - Activity 23755: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,361 - acbm.assigning - DEBUG - Activity 23755: sampling based on floor area\n", - "2024-05-14 18:29:21,362 - acbm.assigning - DEBUG - Activity 23756: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,367 - acbm.assigning - DEBUG - Activity 23756: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,369 - acbm.assigning - DEBUG - Activity 23756: sampling based on floor area\n", - "2024-05-14 18:29:21,371 - acbm.assigning - DEBUG - Activity 23758: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,374 - acbm.assigning - DEBUG - Activity 23758: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,375 - acbm.assigning - DEBUG - Activity 23758: sampling based on floor area\n", - "2024-05-14 18:29:21,377 - acbm.assigning - DEBUG - Activity 23760: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,380 - acbm.assigning - DEBUG - Activity 23760: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,381 - acbm.assigning - DEBUG - Activity 23760: sampling based on floor area\n", - "2024-05-14 18:29:21,382 - acbm.assigning - DEBUG - Activity 23765: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,385 - acbm.assigning - DEBUG - Activity 23765: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,386 - acbm.assigning - DEBUG - Activity 23765: sampling based on floor area\n", - "2024-05-14 18:29:21,388 - acbm.assigning - DEBUG - Activity 23769: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,391 - acbm.assigning - DEBUG - Activity 23769: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,392 - acbm.assigning - DEBUG - Activity 23769: sampling based on floor area\n", - "2024-05-14 18:29:21,394 - acbm.assigning - DEBUG - Activity 23774: Initial number of options for activity = 19\n", - "2024-05-14 18:29:21,396 - acbm.assigning - DEBUG - Activity 23774: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:21,397 - acbm.assigning - DEBUG - Activity 23774: sampling based on floor area\n", - "2024-05-14 18:29:21,399 - acbm.assigning - DEBUG - Activity 23902: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,401 - acbm.assigning - DEBUG - Activity 23902: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,402 - acbm.assigning - DEBUG - Activity 23902: sampling based on floor area\n", - "2024-05-14 18:29:21,403 - acbm.assigning - DEBUG - Activity 23904: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,405 - acbm.assigning - DEBUG - Activity 23904: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,406 - acbm.assigning - DEBUG - Activity 23904: sampling based on floor area\n", - "2024-05-14 18:29:21,408 - acbm.assigning - DEBUG - Activity 23908: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,411 - acbm.assigning - DEBUG - Activity 23908: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,412 - acbm.assigning - DEBUG - Activity 23908: sampling based on floor area\n", - "2024-05-14 18:29:21,413 - acbm.assigning - DEBUG - Activity 23910: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,416 - acbm.assigning - DEBUG - Activity 23910: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,416 - acbm.assigning - DEBUG - Activity 23910: sampling based on floor area\n", - "2024-05-14 18:29:21,417 - acbm.assigning - DEBUG - Activity 23912: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,420 - acbm.assigning - DEBUG - Activity 23912: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,421 - acbm.assigning - DEBUG - Activity 23912: sampling based on floor area\n", - "2024-05-14 18:29:21,422 - acbm.assigning - INFO - Activity 24175: No zones available\n", - "2024-05-14 18:29:21,423 - acbm.assigning - DEBUG - Activity 24599: Initial number of options for activity = 108\n", - "2024-05-14 18:29:21,426 - acbm.assigning - DEBUG - Activity 24599: Number of options after filtering by education type: 108\n", - "2024-05-14 18:29:21,428 - acbm.assigning - DEBUG - Activity 24599: sampling based on floor area\n", - "2024-05-14 18:29:21,429 - acbm.assigning - DEBUG - Activity 24607: Initial number of options for activity = 66\n", - "2024-05-14 18:29:21,431 - acbm.assigning - DEBUG - Activity 24607: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:21,432 - acbm.assigning - DEBUG - Activity 24607: sampling based on floor area\n", - "2024-05-14 18:29:21,433 - acbm.assigning - DEBUG - Activity 24611: Initial number of options for activity = 108\n", - "2024-05-14 18:29:21,435 - acbm.assigning - DEBUG - Activity 24611: Number of options after filtering by education type: 108\n", - "2024-05-14 18:29:21,435 - acbm.assigning - DEBUG - Activity 24611: sampling based on floor area\n", - "2024-05-14 18:29:21,437 - acbm.assigning - DEBUG - Activity 24612: Initial number of options for activity = 108\n", - "2024-05-14 18:29:21,439 - acbm.assigning - DEBUG - Activity 24612: Number of options after filtering by education type: 108\n", - "2024-05-14 18:29:21,441 - acbm.assigning - DEBUG - Activity 24612: sampling based on floor area\n", - "2024-05-14 18:29:21,443 - acbm.assigning - DEBUG - Activity 24620: Initial number of options for activity = 58\n", - "2024-05-14 18:29:21,445 - acbm.assigning - DEBUG - Activity 24620: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:21,446 - acbm.assigning - DEBUG - Activity 24620: sampling based on floor area\n", - "2024-05-14 18:29:21,447 - acbm.assigning - DEBUG - Activity 24650: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,451 - acbm.assigning - DEBUG - Activity 24650: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,452 - acbm.assigning - DEBUG - Activity 24650: sampling based on floor area\n", - "2024-05-14 18:29:21,453 - acbm.assigning - DEBUG - Activity 24652: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,455 - acbm.assigning - DEBUG - Activity 24652: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,456 - acbm.assigning - DEBUG - Activity 24652: sampling based on floor area\n", - "2024-05-14 18:29:21,458 - acbm.assigning - DEBUG - Activity 24656: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,460 - acbm.assigning - DEBUG - Activity 24656: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,461 - acbm.assigning - DEBUG - Activity 24656: sampling based on floor area\n", - "2024-05-14 18:29:21,462 - acbm.assigning - DEBUG - Activity 24658: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,464 - acbm.assigning - DEBUG - Activity 24658: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,465 - acbm.assigning - DEBUG - Activity 24658: sampling based on floor area\n", - "2024-05-14 18:29:21,466 - acbm.assigning - DEBUG - Activity 24660: Initial number of options for activity = 36\n", - "2024-05-14 18:29:21,468 - acbm.assigning - DEBUG - Activity 24660: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:21,470 - acbm.assigning - DEBUG - Activity 24660: sampling based on floor area\n", - "2024-05-14 18:29:21,471 - acbm.assigning - DEBUG - Activity 24733: Initial number of options for activity = 94\n", - "2024-05-14 18:29:21,475 - acbm.assigning - DEBUG - Activity 24733: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:21,477 - acbm.assigning - DEBUG - Activity 24733: sampling based on floor area\n", - "2024-05-14 18:29:21,479 - acbm.assigning - DEBUG - Activity 24735: Initial number of options for activity = 94\n", - "2024-05-14 18:29:21,483 - acbm.assigning - DEBUG - Activity 24735: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:21,484 - acbm.assigning - DEBUG - Activity 24735: sampling based on floor area\n", - "2024-05-14 18:29:21,486 - acbm.assigning - DEBUG - Activity 24737: Initial number of options for activity = 94\n", - "2024-05-14 18:29:21,490 - acbm.assigning - DEBUG - Activity 24737: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:21,493 - acbm.assigning - DEBUG - Activity 24737: sampling based on floor area\n", - "2024-05-14 18:29:21,494 - acbm.assigning - DEBUG - Activity 24739: Initial number of options for activity = 94\n", - "2024-05-14 18:29:21,497 - acbm.assigning - DEBUG - Activity 24739: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:21,498 - acbm.assigning - DEBUG - Activity 24739: sampling based on floor area\n", - "2024-05-14 18:29:21,500 - acbm.assigning - INFO - Activity 24749: No zones available\n", - "2024-05-14 18:29:21,501 - acbm.assigning - INFO - Activity 24751: No zones available\n", - "2024-05-14 18:29:21,501 - acbm.assigning - DEBUG - Activity 24981: Initial number of options for activity = 9\n", - "2024-05-14 18:29:21,504 - acbm.assigning - DEBUG - Activity 24981: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:21,505 - acbm.assigning - DEBUG - Activity 24981: sampling based on floor area\n", - "2024-05-14 18:29:21,507 - acbm.assigning - DEBUG - Activity 24989: Initial number of options for activity = 6\n", - "2024-05-14 18:29:21,510 - acbm.assigning - DEBUG - Activity 24989: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:21,512 - acbm.assigning - DEBUG - Activity 24989: sampling based on floor area\n", - "2024-05-14 18:29:21,513 - acbm.assigning - DEBUG - Activity 24990: Initial number of options for activity = 5\n", - "2024-05-14 18:29:21,515 - acbm.assigning - DEBUG - Activity 24990: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:21,516 - acbm.assigning - DEBUG - Activity 24990: sampling based on floor area\n", - "2024-05-14 18:29:21,517 - acbm.assigning - DEBUG - Activity 24991: Initial number of options for activity = 5\n", - "2024-05-14 18:29:21,519 - acbm.assigning - DEBUG - Activity 24991: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:21,520 - acbm.assigning - DEBUG - Activity 24991: sampling based on floor area\n", - "2024-05-14 18:29:21,522 - acbm.assigning - DEBUG - Activity 24993: Initial number of options for activity = 6\n", - "2024-05-14 18:29:21,525 - acbm.assigning - DEBUG - Activity 24993: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:21,526 - acbm.assigning - DEBUG - Activity 24993: sampling based on floor area\n", - "2024-05-14 18:29:21,527 - acbm.assigning - DEBUG - Activity 25003: Initial number of options for activity = 2\n", - "2024-05-14 18:29:21,529 - acbm.assigning - DEBUG - Activity 25003: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:21,530 - acbm.assigning - DEBUG - Activity 25003: sampling based on floor area\n", - "2024-05-14 18:29:21,532 - acbm.assigning - DEBUG - Activity 25006: Initial number of options for activity = 4\n", - "2024-05-14 18:29:21,534 - acbm.assigning - DEBUG - Activity 25006: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:21,535 - acbm.assigning - DEBUG - Activity 25006: sampling based on floor area\n", - "2024-05-14 18:29:21,537 - acbm.assigning - DEBUG - Activity 25007: Initial number of options for activity = 2\n", - "2024-05-14 18:29:21,539 - acbm.assigning - DEBUG - Activity 25007: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:21,540 - acbm.assigning - DEBUG - Activity 25007: sampling based on floor area\n", - "2024-05-14 18:29:21,541 - acbm.assigning - DEBUG - Activity 25008: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,543 - acbm.assigning - DEBUG - Activity 25008: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,544 - acbm.assigning - DEBUG - Activity 25008: sampling based on floor area\n", - "2024-05-14 18:29:21,545 - acbm.assigning - DEBUG - Activity 25010: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,548 - acbm.assigning - DEBUG - Activity 25010: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,548 - acbm.assigning - DEBUG - Activity 25010: sampling based on floor area\n", - "2024-05-14 18:29:21,549 - acbm.assigning - INFO - Activity 25027: No zones available\n", - "2024-05-14 18:29:21,550 - acbm.assigning - DEBUG - Activity 25094: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,553 - acbm.assigning - DEBUG - Activity 25094: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,554 - acbm.assigning - DEBUG - Activity 25094: sampling based on floor area\n", - "2024-05-14 18:29:21,555 - acbm.assigning - DEBUG - Activity 25096: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,557 - acbm.assigning - DEBUG - Activity 25096: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,559 - acbm.assigning - DEBUG - Activity 25096: sampling based on floor area\n", - "2024-05-14 18:29:21,560 - acbm.assigning - DEBUG - Activity 25098: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,563 - acbm.assigning - DEBUG - Activity 25098: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,564 - acbm.assigning - DEBUG - Activity 25098: sampling based on floor area\n", - "2024-05-14 18:29:21,565 - acbm.assigning - DEBUG - Activity 25100: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,566 - acbm.assigning - DEBUG - Activity 25100: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,567 - acbm.assigning - DEBUG - Activity 25100: sampling based on floor area\n", - "2024-05-14 18:29:21,569 - acbm.assigning - DEBUG - Activity 25230: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,571 - acbm.assigning - DEBUG - Activity 25230: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,572 - acbm.assigning - DEBUG - Activity 25230: sampling based on floor area\n", - "2024-05-14 18:29:21,574 - acbm.assigning - DEBUG - Activity 25231: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,577 - acbm.assigning - DEBUG - Activity 25231: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,578 - acbm.assigning - DEBUG - Activity 25231: sampling based on floor area\n", - "2024-05-14 18:29:21,579 - acbm.assigning - DEBUG - Activity 25234: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,581 - acbm.assigning - DEBUG - Activity 25234: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,582 - acbm.assigning - DEBUG - Activity 25234: sampling based on floor area\n", - "2024-05-14 18:29:21,584 - acbm.assigning - DEBUG - Activity 25241: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,587 - acbm.assigning - DEBUG - Activity 25241: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,587 - acbm.assigning - DEBUG - Activity 25241: sampling based on floor area\n", - "2024-05-14 18:29:21,589 - acbm.assigning - DEBUG - Activity 25242: Initial number of options for activity = 13\n", - "2024-05-14 18:29:21,593 - acbm.assigning - DEBUG - Activity 25242: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:21,594 - acbm.assigning - DEBUG - Activity 25242: sampling based on floor area\n", - "2024-05-14 18:29:21,595 - acbm.assigning - DEBUG - Activity 25243: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,597 - acbm.assigning - DEBUG - Activity 25243: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,598 - acbm.assigning - DEBUG - Activity 25243: sampling based on floor area\n", - "2024-05-14 18:29:21,599 - acbm.assigning - DEBUG - Activity 25374: Initial number of options for activity = 82\n", - "2024-05-14 18:29:21,601 - acbm.assigning - DEBUG - Activity 25374: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:21,602 - acbm.assigning - DEBUG - Activity 25374: sampling based on floor area\n", - "2024-05-14 18:29:21,604 - acbm.assigning - DEBUG - Activity 25376: Initial number of options for activity = 82\n", - "2024-05-14 18:29:21,606 - acbm.assigning - DEBUG - Activity 25376: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:21,607 - acbm.assigning - DEBUG - Activity 25376: sampling based on floor area\n", - "2024-05-14 18:29:21,608 - acbm.assigning - DEBUG - Activity 25378: Initial number of options for activity = 82\n", - "2024-05-14 18:29:21,612 - acbm.assigning - DEBUG - Activity 25378: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:21,613 - acbm.assigning - DEBUG - Activity 25378: sampling based on floor area\n", - "2024-05-14 18:29:21,615 - acbm.assigning - DEBUG - Activity 25380: Initial number of options for activity = 82\n", - "2024-05-14 18:29:21,618 - acbm.assigning - DEBUG - Activity 25380: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:21,620 - acbm.assigning - DEBUG - Activity 25380: sampling based on floor area\n", - "2024-05-14 18:29:21,622 - acbm.assigning - DEBUG - Activity 25574: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,626 - acbm.assigning - DEBUG - Activity 25574: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,628 - acbm.assigning - DEBUG - Activity 25574: sampling based on floor area\n", - "2024-05-14 18:29:21,630 - acbm.assigning - DEBUG - Activity 25576: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,634 - acbm.assigning - DEBUG - Activity 25576: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,635 - acbm.assigning - DEBUG - Activity 25576: sampling based on floor area\n", - "2024-05-14 18:29:21,636 - acbm.assigning - DEBUG - Activity 25580: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,639 - acbm.assigning - DEBUG - Activity 25580: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,639 - acbm.assigning - DEBUG - Activity 25580: sampling based on floor area\n", - "2024-05-14 18:29:21,641 - acbm.assigning - DEBUG - Activity 25582: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,644 - acbm.assigning - DEBUG - Activity 25582: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,645 - acbm.assigning - DEBUG - Activity 25582: sampling based on floor area\n", - "2024-05-14 18:29:21,646 - acbm.assigning - DEBUG - Activity 25584: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,648 - acbm.assigning - DEBUG - Activity 25584: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,649 - acbm.assigning - DEBUG - Activity 25584: sampling based on floor area\n", - "2024-05-14 18:29:21,651 - acbm.assigning - DEBUG - Activity 25629: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,653 - acbm.assigning - DEBUG - Activity 25629: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,654 - acbm.assigning - DEBUG - Activity 25629: sampling based on floor area\n", - "2024-05-14 18:29:21,656 - acbm.assigning - DEBUG - Activity 25631: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,659 - acbm.assigning - DEBUG - Activity 25631: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,662 - acbm.assigning - DEBUG - Activity 25631: sampling based on floor area\n", - "2024-05-14 18:29:21,664 - acbm.assigning - DEBUG - Activity 25633: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,666 - acbm.assigning - DEBUG - Activity 25633: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,668 - acbm.assigning - DEBUG - Activity 25633: sampling based on floor area\n", - "2024-05-14 18:29:21,670 - acbm.assigning - DEBUG - Activity 25635: Initial number of options for activity = 84\n", - "2024-05-14 18:29:21,675 - acbm.assigning - DEBUG - Activity 25635: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:21,677 - acbm.assigning - DEBUG - Activity 25635: sampling based on floor area\n", - "2024-05-14 18:29:21,679 - acbm.assigning - DEBUG - Activity 25643: Initial number of options for activity = 15\n", - "2024-05-14 18:29:21,682 - acbm.assigning - DEBUG - Activity 25643: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:21,684 - acbm.assigning - DEBUG - Activity 25643: sampling based on floor area\n", - "2024-05-14 18:29:21,686 - acbm.assigning - DEBUG - Activity 25646: Initial number of options for activity = 15\n", - "2024-05-14 18:29:21,689 - acbm.assigning - DEBUG - Activity 25646: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:21,690 - acbm.assigning - DEBUG - Activity 25646: sampling based on floor area\n", - "2024-05-14 18:29:21,692 - acbm.assigning - DEBUG - Activity 25649: Initial number of options for activity = 15\n", - "2024-05-14 18:29:21,695 - acbm.assigning - DEBUG - Activity 25649: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:21,697 - acbm.assigning - DEBUG - Activity 25649: sampling based on floor area\n", - "2024-05-14 18:29:21,699 - acbm.assigning - DEBUG - Activity 25651: Initial number of options for activity = 15\n", - "2024-05-14 18:29:21,702 - acbm.assigning - DEBUG - Activity 25651: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:21,704 - acbm.assigning - DEBUG - Activity 25651: sampling based on floor area\n", - "2024-05-14 18:29:21,708 - acbm.assigning - INFO - Activity 25652: No zones available\n", - "2024-05-14 18:29:21,709 - acbm.assigning - DEBUG - Activity 25653: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,713 - acbm.assigning - DEBUG - Activity 25653: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,715 - acbm.assigning - DEBUG - Activity 25653: sampling based on floor area\n", - "2024-05-14 18:29:21,717 - acbm.assigning - DEBUG - Activity 25655: Initial number of options for activity = 15\n", - "2024-05-14 18:29:21,720 - acbm.assigning - DEBUG - Activity 25655: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:21,722 - acbm.assigning - DEBUG - Activity 25655: sampling based on floor area\n", - "2024-05-14 18:29:21,727 - acbm.assigning - DEBUG - Activity 25665: Initial number of options for activity = 2\n", - "2024-05-14 18:29:21,730 - acbm.assigning - DEBUG - Activity 25665: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:21,741 - acbm.assigning - DEBUG - Activity 25665: sampling based on floor area\n", - "2024-05-14 18:29:21,743 - acbm.assigning - DEBUG - Activity 25851: Initial number of options for activity = 154\n", - "2024-05-14 18:29:21,746 - acbm.assigning - DEBUG - Activity 25851: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:21,748 - acbm.assigning - DEBUG - Activity 25851: sampling based on floor area\n", - "2024-05-14 18:29:21,751 - acbm.assigning - DEBUG - Activity 25853: Initial number of options for activity = 154\n", - "2024-05-14 18:29:21,754 - acbm.assigning - DEBUG - Activity 25853: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:21,756 - acbm.assigning - DEBUG - Activity 25853: sampling based on floor area\n", - "2024-05-14 18:29:21,758 - acbm.assigning - DEBUG - Activity 25855: Initial number of options for activity = 154\n", - "2024-05-14 18:29:21,762 - acbm.assigning - DEBUG - Activity 25855: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:21,763 - acbm.assigning - DEBUG - Activity 25855: sampling based on floor area\n", - "2024-05-14 18:29:21,765 - acbm.assigning - DEBUG - Activity 25857: Initial number of options for activity = 154\n", - "2024-05-14 18:29:21,768 - acbm.assigning - DEBUG - Activity 25857: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:21,770 - acbm.assigning - DEBUG - Activity 25857: sampling based on floor area\n", - "2024-05-14 18:29:21,771 - acbm.assigning - DEBUG - Activity 26119: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,779 - acbm.assigning - DEBUG - Activity 26119: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,782 - acbm.assigning - DEBUG - Activity 26119: sampling based on floor area\n", - "2024-05-14 18:29:21,784 - acbm.assigning - DEBUG - Activity 26121: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,786 - acbm.assigning - DEBUG - Activity 26121: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,787 - acbm.assigning - DEBUG - Activity 26121: sampling based on floor area\n", - "2024-05-14 18:29:21,789 - acbm.assigning - DEBUG - Activity 26125: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,791 - acbm.assigning - DEBUG - Activity 26125: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,793 - acbm.assigning - DEBUG - Activity 26125: sampling based on floor area\n", - "2024-05-14 18:29:21,795 - acbm.assigning - DEBUG - Activity 26305: Initial number of options for activity = 93\n", - "2024-05-14 18:29:21,798 - acbm.assigning - DEBUG - Activity 26305: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:21,799 - acbm.assigning - DEBUG - Activity 26305: sampling based on floor area\n", - "2024-05-14 18:29:21,800 - acbm.assigning - DEBUG - Activity 26307: Initial number of options for activity = 93\n", - "2024-05-14 18:29:21,804 - acbm.assigning - DEBUG - Activity 26307: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:21,805 - acbm.assigning - DEBUG - Activity 26307: sampling based on floor area\n", - "2024-05-14 18:29:21,807 - acbm.assigning - DEBUG - Activity 26311: Initial number of options for activity = 93\n", - "2024-05-14 18:29:21,810 - acbm.assigning - DEBUG - Activity 26311: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:21,811 - acbm.assigning - DEBUG - Activity 26311: sampling based on floor area\n", - "2024-05-14 18:29:21,813 - acbm.assigning - DEBUG - Activity 26313: Initial number of options for activity = 93\n", - "2024-05-14 18:29:21,816 - acbm.assigning - DEBUG - Activity 26313: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:21,817 - acbm.assigning - DEBUG - Activity 26313: sampling based on floor area\n", - "2024-05-14 18:29:21,819 - acbm.assigning - DEBUG - Activity 26315: Initial number of options for activity = 93\n", - "2024-05-14 18:29:21,822 - acbm.assigning - DEBUG - Activity 26315: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:21,823 - acbm.assigning - DEBUG - Activity 26315: sampling based on floor area\n", - "2024-05-14 18:29:21,825 - acbm.assigning - DEBUG - Activity 26382: Initial number of options for activity = 91\n", - "2024-05-14 18:29:21,827 - acbm.assigning - DEBUG - Activity 26382: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:21,828 - acbm.assigning - DEBUG - Activity 26382: sampling based on floor area\n", - "2024-05-14 18:29:21,830 - acbm.assigning - DEBUG - Activity 26384: Initial number of options for activity = 91\n", - "2024-05-14 18:29:21,832 - acbm.assigning - DEBUG - Activity 26384: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:21,834 - acbm.assigning - DEBUG - Activity 26384: sampling based on floor area\n", - "2024-05-14 18:29:21,835 - acbm.assigning - DEBUG - Activity 26388: Initial number of options for activity = 91\n", - "2024-05-14 18:29:21,837 - acbm.assigning - DEBUG - Activity 26388: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:21,838 - acbm.assigning - DEBUG - Activity 26388: sampling based on floor area\n", - "2024-05-14 18:29:21,839 - acbm.assigning - DEBUG - Activity 26390: Initial number of options for activity = 91\n", - "2024-05-14 18:29:21,843 - acbm.assigning - DEBUG - Activity 26390: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:21,844 - acbm.assigning - DEBUG - Activity 26390: sampling based on floor area\n", - "2024-05-14 18:29:21,846 - acbm.assigning - DEBUG - Activity 26392: Initial number of options for activity = 91\n", - "2024-05-14 18:29:21,852 - acbm.assigning - DEBUG - Activity 26392: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:21,853 - acbm.assigning - DEBUG - Activity 26392: sampling based on floor area\n", - "2024-05-14 18:29:21,855 - acbm.assigning - DEBUG - Activity 26492: Initial number of options for activity = 6\n", - "2024-05-14 18:29:21,859 - acbm.assigning - DEBUG - Activity 26492: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:21,860 - acbm.assigning - DEBUG - Activity 26492: sampling based on floor area\n", - "2024-05-14 18:29:21,863 - acbm.assigning - DEBUG - Activity 26504: Initial number of options for activity = 6\n", - "2024-05-14 18:29:21,866 - acbm.assigning - DEBUG - Activity 26504: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:21,867 - acbm.assigning - DEBUG - Activity 26504: sampling based on floor area\n", - "2024-05-14 18:29:21,869 - acbm.assigning - DEBUG - Activity 26591: Initial number of options for activity = 40\n", - "2024-05-14 18:29:21,871 - acbm.assigning - DEBUG - Activity 26591: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:21,872 - acbm.assigning - DEBUG - Activity 26591: sampling based on floor area\n", - "2024-05-14 18:29:21,874 - acbm.assigning - DEBUG - Activity 26593: Initial number of options for activity = 40\n", - "2024-05-14 18:29:21,877 - acbm.assigning - DEBUG - Activity 26593: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:21,878 - acbm.assigning - DEBUG - Activity 26593: sampling based on floor area\n", - "2024-05-14 18:29:21,880 - acbm.assigning - DEBUG - Activity 26595: Initial number of options for activity = 40\n", - "2024-05-14 18:29:21,883 - acbm.assigning - DEBUG - Activity 26595: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:21,883 - acbm.assigning - DEBUG - Activity 26595: sampling based on floor area\n", - "2024-05-14 18:29:21,884 - acbm.assigning - DEBUG - Activity 26597: Initial number of options for activity = 40\n", - "2024-05-14 18:29:21,886 - acbm.assigning - DEBUG - Activity 26597: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:21,888 - acbm.assigning - DEBUG - Activity 26597: sampling based on floor area\n", - "2024-05-14 18:29:21,889 - acbm.assigning - DEBUG - Activity 26815: Initial number of options for activity = 6\n", - "2024-05-14 18:29:21,893 - acbm.assigning - DEBUG - Activity 26815: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:21,894 - acbm.assigning - DEBUG - Activity 26815: sampling based on floor area\n", - "2024-05-14 18:29:21,896 - acbm.assigning - DEBUG - Activity 26817: Initial number of options for activity = 13\n", - "2024-05-14 18:29:21,898 - acbm.assigning - DEBUG - Activity 26817: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:21,899 - acbm.assigning - DEBUG - Activity 26817: sampling based on floor area\n", - "2024-05-14 18:29:21,900 - acbm.assigning - DEBUG - Activity 26819: Initial number of options for activity = 17\n", - "2024-05-14 18:29:21,902 - acbm.assigning - DEBUG - Activity 26819: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:21,903 - acbm.assigning - DEBUG - Activity 26819: sampling based on floor area\n", - "2024-05-14 18:29:21,905 - acbm.assigning - DEBUG - Activity 26823: Initial number of options for activity = 61\n", - "2024-05-14 18:29:21,908 - acbm.assigning - DEBUG - Activity 26823: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:21,909 - acbm.assigning - DEBUG - Activity 26823: sampling based on floor area\n", - "2024-05-14 18:29:21,911 - acbm.assigning - DEBUG - Activity 26825: Initial number of options for activity = 33\n", - "2024-05-14 18:29:21,913 - acbm.assigning - DEBUG - Activity 26825: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:21,914 - acbm.assigning - DEBUG - Activity 26825: sampling based on floor area\n", - "2024-05-14 18:29:21,916 - acbm.assigning - DEBUG - Activity 26826: Initial number of options for activity = 149\n", - "2024-05-14 18:29:21,918 - acbm.assigning - DEBUG - Activity 26826: Number of options after filtering by education type: 149\n", - "2024-05-14 18:29:21,919 - acbm.assigning - DEBUG - Activity 26826: sampling based on floor area\n", - "2024-05-14 18:29:21,921 - acbm.assigning - DEBUG - Activity 26857: Initial number of options for activity = 89\n", - "2024-05-14 18:29:21,924 - acbm.assigning - DEBUG - Activity 26857: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:21,925 - acbm.assigning - DEBUG - Activity 26857: sampling based on floor area\n", - "2024-05-14 18:29:21,927 - acbm.assigning - DEBUG - Activity 26859: Initial number of options for activity = 89\n", - "2024-05-14 18:29:21,931 - acbm.assigning - DEBUG - Activity 26859: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:21,931 - acbm.assigning - DEBUG - Activity 26859: sampling based on floor area\n", - "2024-05-14 18:29:21,932 - acbm.assigning - DEBUG - Activity 26863: Initial number of options for activity = 89\n", - "2024-05-14 18:29:21,936 - acbm.assigning - DEBUG - Activity 26863: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:21,937 - acbm.assigning - DEBUG - Activity 26863: sampling based on floor area\n", - "2024-05-14 18:29:21,939 - acbm.assigning - DEBUG - Activity 26865: Initial number of options for activity = 89\n", - "2024-05-14 18:29:21,942 - acbm.assigning - DEBUG - Activity 26865: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:21,943 - acbm.assigning - DEBUG - Activity 26865: sampling based on floor area\n", - "2024-05-14 18:29:21,945 - acbm.assigning - DEBUG - Activity 26867: Initial number of options for activity = 89\n", - "2024-05-14 18:29:21,949 - acbm.assigning - DEBUG - Activity 26867: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:21,950 - acbm.assigning - DEBUG - Activity 26867: sampling based on floor area\n", - "2024-05-14 18:29:21,953 - acbm.assigning - DEBUG - Activity 26948: Initial number of options for activity = 14\n", - "2024-05-14 18:29:21,957 - acbm.assigning - DEBUG - Activity 26948: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:21,958 - acbm.assigning - DEBUG - Activity 26948: sampling based on floor area\n", - "2024-05-14 18:29:21,960 - acbm.assigning - DEBUG - Activity 26978: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,962 - acbm.assigning - DEBUG - Activity 26978: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,964 - acbm.assigning - DEBUG - Activity 26978: sampling based on floor area\n", - "2024-05-14 18:29:21,965 - acbm.assigning - DEBUG - Activity 27011: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,967 - acbm.assigning - DEBUG - Activity 27011: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,968 - acbm.assigning - DEBUG - Activity 27011: sampling based on floor area\n", - "2024-05-14 18:29:21,970 - acbm.assigning - DEBUG - Activity 27012: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,973 - acbm.assigning - DEBUG - Activity 27012: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,974 - acbm.assigning - DEBUG - Activity 27012: sampling based on floor area\n", - "2024-05-14 18:29:21,975 - acbm.assigning - DEBUG - Activity 27014: Initial number of options for activity = 3\n", - "2024-05-14 18:29:21,978 - acbm.assigning - DEBUG - Activity 27014: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:21,979 - acbm.assigning - DEBUG - Activity 27014: sampling based on floor area\n", - "2024-05-14 18:29:21,980 - acbm.assigning - DEBUG - Activity 27015: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,982 - acbm.assigning - DEBUG - Activity 27015: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,982 - acbm.assigning - DEBUG - Activity 27015: sampling based on floor area\n", - "2024-05-14 18:29:21,983 - acbm.assigning - DEBUG - Activity 27017: Initial number of options for activity = 1\n", - "2024-05-14 18:29:21,986 - acbm.assigning - DEBUG - Activity 27017: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:21,986 - acbm.assigning - DEBUG - Activity 27017: sampling based on floor area\n", - "2024-05-14 18:29:21,988 - acbm.assigning - DEBUG - Activity 27132: Initial number of options for activity = 136\n", - "2024-05-14 18:29:21,991 - acbm.assigning - DEBUG - Activity 27132: Number of options after filtering by education type: 136\n", - "2024-05-14 18:29:21,992 - acbm.assigning - DEBUG - Activity 27132: sampling based on floor area\n", - "2024-05-14 18:29:21,993 - acbm.assigning - DEBUG - Activity 27133: Initial number of options for activity = 98\n", - "2024-05-14 18:29:21,996 - acbm.assigning - DEBUG - Activity 27133: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:21,996 - acbm.assigning - DEBUG - Activity 27133: sampling based on floor area\n", - "2024-05-14 18:29:21,998 - acbm.assigning - DEBUG - Activity 27134: Initial number of options for activity = 136\n", - "2024-05-14 18:29:22,000 - acbm.assigning - DEBUG - Activity 27134: Number of options after filtering by education type: 136\n", - "2024-05-14 18:29:22,000 - acbm.assigning - DEBUG - Activity 27134: sampling based on floor area\n", - "2024-05-14 18:29:22,002 - acbm.assigning - DEBUG - Activity 27136: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,004 - acbm.assigning - DEBUG - Activity 27136: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,006 - acbm.assigning - DEBUG - Activity 27136: sampling based on floor area\n", - "2024-05-14 18:29:22,008 - acbm.assigning - DEBUG - Activity 27139: Initial number of options for activity = 25\n", - "2024-05-14 18:29:22,011 - acbm.assigning - DEBUG - Activity 27139: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:22,012 - acbm.assigning - DEBUG - Activity 27139: sampling based on floor area\n", - "2024-05-14 18:29:22,014 - acbm.assigning - DEBUG - Activity 27279: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,015 - acbm.assigning - DEBUG - Activity 27279: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,016 - acbm.assigning - DEBUG - Activity 27279: sampling based on floor area\n", - "2024-05-14 18:29:22,018 - acbm.assigning - DEBUG - Activity 27285: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,020 - acbm.assigning - DEBUG - Activity 27285: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,021 - acbm.assigning - DEBUG - Activity 27285: sampling based on floor area\n", - "2024-05-14 18:29:22,024 - acbm.assigning - DEBUG - Activity 27457: Initial number of options for activity = 81\n", - "2024-05-14 18:29:22,027 - acbm.assigning - DEBUG - Activity 27457: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:22,028 - acbm.assigning - DEBUG - Activity 27457: sampling based on floor area\n", - "2024-05-14 18:29:22,030 - acbm.assigning - DEBUG - Activity 27459: Initial number of options for activity = 81\n", - "2024-05-14 18:29:22,032 - acbm.assigning - DEBUG - Activity 27459: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:22,033 - acbm.assigning - DEBUG - Activity 27459: sampling based on floor area\n", - "2024-05-14 18:29:22,035 - acbm.assigning - DEBUG - Activity 27463: Initial number of options for activity = 81\n", - "2024-05-14 18:29:22,038 - acbm.assigning - DEBUG - Activity 27463: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:22,047 - acbm.assigning - DEBUG - Activity 27463: sampling based on floor area\n", - "2024-05-14 18:29:22,048 - acbm.assigning - DEBUG - Activity 27465: Initial number of options for activity = 81\n", - "2024-05-14 18:29:22,054 - acbm.assigning - DEBUG - Activity 27465: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:22,055 - acbm.assigning - DEBUG - Activity 27465: sampling based on floor area\n", - "2024-05-14 18:29:22,057 - acbm.assigning - DEBUG - Activity 27467: Initial number of options for activity = 81\n", - "2024-05-14 18:29:22,060 - acbm.assigning - DEBUG - Activity 27467: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:22,061 - acbm.assigning - DEBUG - Activity 27467: sampling based on floor area\n", - "2024-05-14 18:29:22,063 - acbm.assigning - DEBUG - Activity 27514: Initial number of options for activity = 13\n", - "2024-05-14 18:29:22,064 - acbm.assigning - DEBUG - Activity 27514: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:22,065 - acbm.assigning - DEBUG - Activity 27514: sampling based on floor area\n", - "2024-05-14 18:29:22,066 - acbm.assigning - DEBUG - Activity 27574: Initial number of options for activity = 46\n", - "2024-05-14 18:29:22,068 - acbm.assigning - DEBUG - Activity 27574: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:22,069 - acbm.assigning - DEBUG - Activity 27574: sampling based on floor area\n", - "2024-05-14 18:29:22,070 - acbm.assigning - DEBUG - Activity 27578: Initial number of options for activity = 49\n", - "2024-05-14 18:29:22,074 - acbm.assigning - DEBUG - Activity 27578: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:22,076 - acbm.assigning - DEBUG - Activity 27578: sampling based on floor area\n", - "2024-05-14 18:29:22,078 - acbm.assigning - DEBUG - Activity 27586: Initial number of options for activity = 49\n", - "2024-05-14 18:29:22,081 - acbm.assigning - DEBUG - Activity 27586: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:22,083 - acbm.assigning - DEBUG - Activity 27586: sampling based on floor area\n", - "2024-05-14 18:29:22,084 - acbm.assigning - DEBUG - Activity 27587: Initial number of options for activity = 37\n", - "2024-05-14 18:29:22,088 - acbm.assigning - DEBUG - Activity 27587: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:22,089 - acbm.assigning - DEBUG - Activity 27587: sampling based on floor area\n", - "2024-05-14 18:29:22,091 - acbm.assigning - DEBUG - Activity 27597: Initial number of options for activity = 37\n", - "2024-05-14 18:29:22,094 - acbm.assigning - DEBUG - Activity 27597: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:22,095 - acbm.assigning - DEBUG - Activity 27597: sampling based on floor area\n", - "2024-05-14 18:29:22,097 - acbm.assigning - DEBUG - Activity 27598: Initial number of options for activity = 37\n", - "2024-05-14 18:29:22,100 - acbm.assigning - DEBUG - Activity 27598: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:22,101 - acbm.assigning - DEBUG - Activity 27598: sampling based on floor area\n", - "2024-05-14 18:29:22,106 - acbm.assigning - DEBUG - Activity 27630: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,110 - acbm.assigning - DEBUG - Activity 27630: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,119 - acbm.assigning - DEBUG - Activity 27630: sampling based on floor area\n", - "2024-05-14 18:29:22,121 - acbm.assigning - DEBUG - Activity 27632: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,125 - acbm.assigning - DEBUG - Activity 27632: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,126 - acbm.assigning - DEBUG - Activity 27632: sampling based on floor area\n", - "2024-05-14 18:29:22,128 - acbm.assigning - DEBUG - Activity 27636: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,134 - acbm.assigning - DEBUG - Activity 27636: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,135 - acbm.assigning - DEBUG - Activity 27636: sampling based on floor area\n", - "2024-05-14 18:29:22,138 - acbm.assigning - DEBUG - Activity 27638: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,141 - acbm.assigning - DEBUG - Activity 27638: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,143 - acbm.assigning - DEBUG - Activity 27638: sampling based on floor area\n", - "2024-05-14 18:29:22,145 - acbm.assigning - DEBUG - Activity 27640: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,157 - acbm.assigning - DEBUG - Activity 27640: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,158 - acbm.assigning - DEBUG - Activity 27640: sampling based on floor area\n", - "2024-05-14 18:29:22,160 - acbm.assigning - DEBUG - Activity 27744: Initial number of options for activity = 94\n", - "2024-05-14 18:29:22,169 - acbm.assigning - DEBUG - Activity 27744: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:22,171 - acbm.assigning - DEBUG - Activity 27744: sampling based on floor area\n", - "2024-05-14 18:29:22,173 - acbm.assigning - DEBUG - Activity 27746: Initial number of options for activity = 94\n", - "2024-05-14 18:29:22,184 - acbm.assigning - DEBUG - Activity 27746: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:22,186 - acbm.assigning - DEBUG - Activity 27746: sampling based on floor area\n", - "2024-05-14 18:29:22,187 - acbm.assigning - DEBUG - Activity 27748: Initial number of options for activity = 94\n", - "2024-05-14 18:29:22,191 - acbm.assigning - DEBUG - Activity 27748: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:22,192 - acbm.assigning - DEBUG - Activity 27748: sampling based on floor area\n", - "2024-05-14 18:29:22,194 - acbm.assigning - DEBUG - Activity 27750: Initial number of options for activity = 94\n", - "2024-05-14 18:29:22,198 - acbm.assigning - DEBUG - Activity 27750: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:22,199 - acbm.assigning - DEBUG - Activity 27750: sampling based on floor area\n", - "2024-05-14 18:29:22,201 - acbm.assigning - INFO - KeyError: Key 27812 in possible_zones has no values\n", - "2024-05-14 18:29:22,202 - acbm.assigning - INFO - Activity 27826: No zones available\n", - "2024-05-14 18:29:22,203 - acbm.assigning - DEBUG - Activity 28039: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,206 - acbm.assigning - DEBUG - Activity 28039: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,207 - acbm.assigning - DEBUG - Activity 28039: sampling based on floor area\n", - "2024-05-14 18:29:22,209 - acbm.assigning - DEBUG - Activity 28041: Initial number of options for activity = 95\n", - "2024-05-14 18:29:22,212 - acbm.assigning - DEBUG - Activity 28041: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:22,213 - acbm.assigning - DEBUG - Activity 28041: sampling based on floor area\n", - "2024-05-14 18:29:22,215 - acbm.assigning - DEBUG - Activity 28043: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,218 - acbm.assigning - DEBUG - Activity 28043: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,219 - acbm.assigning - DEBUG - Activity 28043: sampling based on floor area\n", - "2024-05-14 18:29:22,220 - acbm.assigning - DEBUG - Activity 28076: Initial number of options for activity = 22\n", - "2024-05-14 18:29:22,224 - acbm.assigning - DEBUG - Activity 28076: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:22,225 - acbm.assigning - DEBUG - Activity 28076: sampling based on floor area\n", - "2024-05-14 18:29:22,227 - acbm.assigning - DEBUG - Activity 28079: Initial number of options for activity = 22\n", - "2024-05-14 18:29:22,230 - acbm.assigning - DEBUG - Activity 28079: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:22,231 - acbm.assigning - DEBUG - Activity 28079: sampling based on floor area\n", - "2024-05-14 18:29:22,233 - acbm.assigning - DEBUG - Activity 28080: Initial number of options for activity = 22\n", - "2024-05-14 18:29:22,236 - acbm.assigning - DEBUG - Activity 28080: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:22,238 - acbm.assigning - DEBUG - Activity 28080: sampling based on floor area\n", - "2024-05-14 18:29:22,239 - acbm.assigning - DEBUG - Activity 28082: Initial number of options for activity = 22\n", - "2024-05-14 18:29:22,243 - acbm.assigning - DEBUG - Activity 28082: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:22,244 - acbm.assigning - DEBUG - Activity 28082: sampling based on floor area\n", - "2024-05-14 18:29:22,246 - acbm.assigning - DEBUG - Activity 28085: Initial number of options for activity = 22\n", - "2024-05-14 18:29:22,250 - acbm.assigning - DEBUG - Activity 28085: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:22,252 - acbm.assigning - DEBUG - Activity 28085: sampling based on floor area\n", - "2024-05-14 18:29:22,254 - acbm.assigning - INFO - Activity 28228: No zones available\n", - "2024-05-14 18:29:22,255 - acbm.assigning - INFO - Activity 28229: No zones available\n", - "2024-05-14 18:29:22,256 - acbm.assigning - INFO - Activity 28231: No zones available\n", - "2024-05-14 18:29:22,257 - acbm.assigning - INFO - Activity 28236: No zones available\n", - "2024-05-14 18:29:22,257 - acbm.assigning - INFO - Activity 28237: No zones available\n", - "2024-05-14 18:29:22,258 - acbm.assigning - DEBUG - Activity 28547: Initial number of options for activity = 14\n", - "2024-05-14 18:29:22,261 - acbm.assigning - DEBUG - Activity 28547: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:22,262 - acbm.assigning - DEBUG - Activity 28547: sampling based on floor area\n", - "2024-05-14 18:29:22,264 - acbm.assigning - DEBUG - Activity 28549: Initial number of options for activity = 14\n", - "2024-05-14 18:29:22,267 - acbm.assigning - DEBUG - Activity 28549: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:22,268 - acbm.assigning - DEBUG - Activity 28549: sampling based on floor area\n", - "2024-05-14 18:29:22,270 - acbm.assigning - DEBUG - Activity 28551: Initial number of options for activity = 14\n", - "2024-05-14 18:29:22,272 - acbm.assigning - DEBUG - Activity 28551: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:22,274 - acbm.assigning - DEBUG - Activity 28551: sampling based on floor area\n", - "2024-05-14 18:29:22,275 - acbm.assigning - DEBUG - Activity 28553: Initial number of options for activity = 14\n", - "2024-05-14 18:29:22,278 - acbm.assigning - DEBUG - Activity 28553: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:22,279 - acbm.assigning - DEBUG - Activity 28553: sampling based on floor area\n", - "2024-05-14 18:29:22,280 - acbm.assigning - DEBUG - Activity 28614: Initial number of options for activity = 27\n", - "2024-05-14 18:29:22,282 - acbm.assigning - DEBUG - Activity 28614: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:22,283 - acbm.assigning - DEBUG - Activity 28614: sampling based on floor area\n", - "2024-05-14 18:29:22,284 - acbm.assigning - DEBUG - Activity 28616: Initial number of options for activity = 27\n", - "2024-05-14 18:29:22,285 - acbm.assigning - DEBUG - Activity 28616: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:22,286 - acbm.assigning - DEBUG - Activity 28616: sampling based on floor area\n", - "2024-05-14 18:29:22,287 - acbm.assigning - DEBUG - Activity 28618: Initial number of options for activity = 27\n", - "2024-05-14 18:29:22,290 - acbm.assigning - DEBUG - Activity 28618: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:22,292 - acbm.assigning - DEBUG - Activity 28618: sampling based on floor area\n", - "2024-05-14 18:29:22,293 - acbm.assigning - DEBUG - Activity 28620: Initial number of options for activity = 27\n", - "2024-05-14 18:29:22,295 - acbm.assigning - DEBUG - Activity 28620: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:22,296 - acbm.assigning - DEBUG - Activity 28620: sampling based on floor area\n", - "2024-05-14 18:29:22,298 - acbm.assigning - DEBUG - Activity 28719: Initial number of options for activity = 33\n", - "2024-05-14 18:29:22,300 - acbm.assigning - DEBUG - Activity 28719: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:22,301 - acbm.assigning - DEBUG - Activity 28719: sampling based on floor area\n", - "2024-05-14 18:29:22,311 - acbm.assigning - DEBUG - Activity 28721: Initial number of options for activity = 33\n", - "2024-05-14 18:29:22,316 - acbm.assigning - DEBUG - Activity 28721: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:22,317 - acbm.assigning - DEBUG - Activity 28721: sampling based on floor area\n", - "2024-05-14 18:29:22,318 - acbm.assigning - DEBUG - Activity 28725: Initial number of options for activity = 33\n", - "2024-05-14 18:29:22,321 - acbm.assigning - DEBUG - Activity 28725: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:22,322 - acbm.assigning - DEBUG - Activity 28725: sampling based on floor area\n", - "2024-05-14 18:29:22,324 - acbm.assigning - DEBUG - Activity 28727: Initial number of options for activity = 33\n", - "2024-05-14 18:29:22,326 - acbm.assigning - DEBUG - Activity 28727: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:22,327 - acbm.assigning - DEBUG - Activity 28727: sampling based on floor area\n", - "2024-05-14 18:29:22,329 - acbm.assigning - DEBUG - Activity 28729: Initial number of options for activity = 33\n", - "2024-05-14 18:29:22,332 - acbm.assigning - DEBUG - Activity 28729: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:22,333 - acbm.assigning - DEBUG - Activity 28729: sampling based on floor area\n", - "2024-05-14 18:29:22,334 - acbm.assigning - DEBUG - Activity 28931: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,337 - acbm.assigning - DEBUG - Activity 28931: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,339 - acbm.assigning - DEBUG - Activity 28931: sampling based on floor area\n", - "2024-05-14 18:29:22,341 - acbm.assigning - DEBUG - Activity 28933: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,343 - acbm.assigning - DEBUG - Activity 28933: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,344 - acbm.assigning - DEBUG - Activity 28933: sampling based on floor area\n", - "2024-05-14 18:29:22,346 - acbm.assigning - DEBUG - Activity 28937: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,347 - acbm.assigning - DEBUG - Activity 28937: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,348 - acbm.assigning - DEBUG - Activity 28937: sampling based on floor area\n", - "2024-05-14 18:29:22,350 - acbm.assigning - DEBUG - Activity 28939: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,352 - acbm.assigning - DEBUG - Activity 28939: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,352 - acbm.assigning - DEBUG - Activity 28939: sampling based on floor area\n", - "2024-05-14 18:29:22,354 - acbm.assigning - DEBUG - Activity 28941: Initial number of options for activity = 83\n", - "2024-05-14 18:29:22,357 - acbm.assigning - DEBUG - Activity 28941: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:22,358 - acbm.assigning - DEBUG - Activity 28941: sampling based on floor area\n", - "2024-05-14 18:29:22,359 - acbm.assigning - DEBUG - Activity 28979: Initial number of options for activity = 64\n", - "2024-05-14 18:29:22,361 - acbm.assigning - DEBUG - Activity 28979: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:22,362 - acbm.assigning - DEBUG - Activity 28979: sampling based on floor area\n", - "2024-05-14 18:29:22,363 - acbm.assigning - DEBUG - Activity 28983: Initial number of options for activity = 59\n", - "2024-05-14 18:29:22,366 - acbm.assigning - DEBUG - Activity 28983: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:22,366 - acbm.assigning - DEBUG - Activity 28983: sampling based on floor area\n", - "2024-05-14 18:29:22,368 - acbm.assigning - DEBUG - Activity 29040: Initial number of options for activity = 67\n", - "2024-05-14 18:29:22,370 - acbm.assigning - DEBUG - Activity 29040: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:22,371 - acbm.assigning - DEBUG - Activity 29040: sampling based on floor area\n", - "2024-05-14 18:29:22,373 - acbm.assigning - DEBUG - Activity 29042: Initial number of options for activity = 67\n", - "2024-05-14 18:29:22,377 - acbm.assigning - DEBUG - Activity 29042: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:22,378 - acbm.assigning - DEBUG - Activity 29042: sampling based on floor area\n", - "2024-05-14 18:29:22,379 - acbm.assigning - DEBUG - Activity 29046: Initial number of options for activity = 67\n", - "2024-05-14 18:29:22,381 - acbm.assigning - DEBUG - Activity 29046: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:22,382 - acbm.assigning - DEBUG - Activity 29046: sampling based on floor area\n", - "2024-05-14 18:29:22,383 - acbm.assigning - DEBUG - Activity 29048: Initial number of options for activity = 67\n", - "2024-05-14 18:29:22,386 - acbm.assigning - DEBUG - Activity 29048: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:22,387 - acbm.assigning - DEBUG - Activity 29048: sampling based on floor area\n", - "2024-05-14 18:29:22,388 - acbm.assigning - DEBUG - Activity 29050: Initial number of options for activity = 67\n", - "2024-05-14 18:29:22,391 - acbm.assigning - DEBUG - Activity 29050: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:22,403 - acbm.assigning - DEBUG - Activity 29050: sampling based on floor area\n", - "2024-05-14 18:29:22,405 - acbm.assigning - DEBUG - Activity 29115: Initial number of options for activity = 27\n", - "2024-05-14 18:29:22,407 - acbm.assigning - DEBUG - Activity 29115: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:22,409 - acbm.assigning - DEBUG - Activity 29115: sampling based on floor area\n", - "2024-05-14 18:29:22,412 - acbm.assigning - DEBUG - Activity 29117: Initial number of options for activity = 27\n", - "2024-05-14 18:29:22,415 - acbm.assigning - DEBUG - Activity 29117: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:22,416 - acbm.assigning - DEBUG - Activity 29117: sampling based on floor area\n", - "2024-05-14 18:29:22,418 - acbm.assigning - DEBUG - Activity 29263: Initial number of options for activity = 23\n", - "2024-05-14 18:29:22,422 - acbm.assigning - DEBUG - Activity 29263: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:22,423 - acbm.assigning - DEBUG - Activity 29263: sampling based on floor area\n", - "2024-05-14 18:29:22,425 - acbm.assigning - DEBUG - Activity 29266: Initial number of options for activity = 8\n", - "2024-05-14 18:29:22,427 - acbm.assigning - DEBUG - Activity 29266: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:22,428 - acbm.assigning - DEBUG - Activity 29266: sampling based on floor area\n", - "2024-05-14 18:29:22,429 - acbm.assigning - DEBUG - Activity 29268: Initial number of options for activity = 17\n", - "2024-05-14 18:29:22,432 - acbm.assigning - DEBUG - Activity 29268: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:22,432 - acbm.assigning - DEBUG - Activity 29268: sampling based on floor area\n", - "2024-05-14 18:29:22,434 - acbm.assigning - DEBUG - Activity 29272: Initial number of options for activity = 10\n", - "2024-05-14 18:29:22,436 - acbm.assigning - DEBUG - Activity 29272: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:22,436 - acbm.assigning - DEBUG - Activity 29272: sampling based on floor area\n", - "2024-05-14 18:29:22,438 - acbm.assigning - DEBUG - Activity 29597: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,440 - acbm.assigning - DEBUG - Activity 29597: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,441 - acbm.assigning - DEBUG - Activity 29597: sampling based on floor area\n", - "2024-05-14 18:29:22,442 - acbm.assigning - DEBUG - Activity 29701: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,444 - acbm.assigning - DEBUG - Activity 29701: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,444 - acbm.assigning - DEBUG - Activity 29701: sampling based on floor area\n", - "2024-05-14 18:29:22,445 - acbm.assigning - DEBUG - Activity 29703: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,447 - acbm.assigning - DEBUG - Activity 29703: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,447 - acbm.assigning - DEBUG - Activity 29703: sampling based on floor area\n", - "2024-05-14 18:29:22,448 - acbm.assigning - DEBUG - Activity 29705: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,449 - acbm.assigning - DEBUG - Activity 29705: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,450 - acbm.assigning - DEBUG - Activity 29705: sampling based on floor area\n", - "2024-05-14 18:29:22,451 - acbm.assigning - DEBUG - Activity 29707: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,452 - acbm.assigning - DEBUG - Activity 29707: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,453 - acbm.assigning - DEBUG - Activity 29707: sampling based on floor area\n", - "2024-05-14 18:29:22,454 - acbm.assigning - DEBUG - Activity 29709: Initial number of options for activity = 31\n", - "2024-05-14 18:29:22,456 - acbm.assigning - DEBUG - Activity 29709: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:22,457 - acbm.assigning - DEBUG - Activity 29709: sampling based on floor area\n", - "2024-05-14 18:29:22,459 - acbm.assigning - DEBUG - Activity 29861: Initial number of options for activity = 59\n", - "2024-05-14 18:29:22,461 - acbm.assigning - DEBUG - Activity 29861: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:22,462 - acbm.assigning - DEBUG - Activity 29861: sampling based on floor area\n", - "2024-05-14 18:29:22,463 - acbm.assigning - DEBUG - Activity 29863: Initial number of options for activity = 59\n", - "2024-05-14 18:29:22,464 - acbm.assigning - DEBUG - Activity 29863: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:22,465 - acbm.assigning - DEBUG - Activity 29863: sampling based on floor area\n", - "2024-05-14 18:29:22,466 - acbm.assigning - DEBUG - Activity 29867: Initial number of options for activity = 59\n", - "2024-05-14 18:29:22,468 - acbm.assigning - DEBUG - Activity 29867: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:22,468 - acbm.assigning - DEBUG - Activity 29867: sampling based on floor area\n", - "2024-05-14 18:29:22,469 - acbm.assigning - DEBUG - Activity 29869: Initial number of options for activity = 59\n", - "2024-05-14 18:29:22,472 - acbm.assigning - DEBUG - Activity 29869: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:22,473 - acbm.assigning - DEBUG - Activity 29869: sampling based on floor area\n", - "2024-05-14 18:29:22,474 - acbm.assigning - DEBUG - Activity 29871: Initial number of options for activity = 59\n", - "2024-05-14 18:29:22,477 - acbm.assigning - DEBUG - Activity 29871: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:22,477 - acbm.assigning - DEBUG - Activity 29871: sampling based on floor area\n", - "2024-05-14 18:29:22,478 - acbm.assigning - DEBUG - Activity 29904: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,480 - acbm.assigning - DEBUG - Activity 29904: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,481 - acbm.assigning - DEBUG - Activity 29904: sampling based on floor area\n", - "2024-05-14 18:29:22,482 - acbm.assigning - DEBUG - Activity 29906: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,484 - acbm.assigning - DEBUG - Activity 29906: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,484 - acbm.assigning - DEBUG - Activity 29906: sampling based on floor area\n", - "2024-05-14 18:29:22,485 - acbm.assigning - DEBUG - Activity 29910: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,487 - acbm.assigning - DEBUG - Activity 29910: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,488 - acbm.assigning - DEBUG - Activity 29910: sampling based on floor area\n", - "2024-05-14 18:29:22,490 - acbm.assigning - DEBUG - Activity 29912: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,492 - acbm.assigning - DEBUG - Activity 29912: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,493 - acbm.assigning - DEBUG - Activity 29912: sampling based on floor area\n", - "2024-05-14 18:29:22,494 - acbm.assigning - DEBUG - Activity 29914: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,496 - acbm.assigning - DEBUG - Activity 29914: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,496 - acbm.assigning - DEBUG - Activity 29914: sampling based on floor area\n", - "2024-05-14 18:29:22,497 - acbm.assigning - DEBUG - Activity 30154: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,499 - acbm.assigning - DEBUG - Activity 30154: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,499 - acbm.assigning - DEBUG - Activity 30154: sampling based on floor area\n", - "2024-05-14 18:29:22,500 - acbm.assigning - DEBUG - Activity 30156: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,502 - acbm.assigning - DEBUG - Activity 30156: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,502 - acbm.assigning - DEBUG - Activity 30156: sampling based on floor area\n", - "2024-05-14 18:29:22,503 - acbm.assigning - DEBUG - Activity 30158: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,506 - acbm.assigning - DEBUG - Activity 30158: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,507 - acbm.assigning - DEBUG - Activity 30158: sampling based on floor area\n", - "2024-05-14 18:29:22,508 - acbm.assigning - DEBUG - Activity 30160: Initial number of options for activity = 47\n", - "2024-05-14 18:29:22,511 - acbm.assigning - DEBUG - Activity 30160: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:22,512 - acbm.assigning - DEBUG - Activity 30160: sampling based on floor area\n", - "2024-05-14 18:29:22,513 - acbm.assigning - DEBUG - Activity 30366: Initial number of options for activity = 43\n", - "2024-05-14 18:29:22,517 - acbm.assigning - DEBUG - Activity 30366: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:22,518 - acbm.assigning - DEBUG - Activity 30366: sampling based on floor area\n", - "2024-05-14 18:29:22,521 - acbm.assigning - DEBUG - Activity 30368: Initial number of options for activity = 43\n", - "2024-05-14 18:29:22,525 - acbm.assigning - DEBUG - Activity 30368: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:22,526 - acbm.assigning - DEBUG - Activity 30368: sampling based on floor area\n", - "2024-05-14 18:29:22,527 - acbm.assigning - DEBUG - Activity 30370: Initial number of options for activity = 43\n", - "2024-05-14 18:29:22,530 - acbm.assigning - DEBUG - Activity 30370: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:22,531 - acbm.assigning - DEBUG - Activity 30370: sampling based on floor area\n", - "2024-05-14 18:29:22,532 - acbm.assigning - DEBUG - Activity 30372: Initial number of options for activity = 43\n", - "2024-05-14 18:29:22,534 - acbm.assigning - DEBUG - Activity 30372: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:22,535 - acbm.assigning - DEBUG - Activity 30372: sampling based on floor area\n", - "2024-05-14 18:29:22,537 - acbm.assigning - DEBUG - Activity 30374: Initial number of options for activity = 43\n", - "2024-05-14 18:29:22,540 - acbm.assigning - DEBUG - Activity 30374: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:22,541 - acbm.assigning - DEBUG - Activity 30374: sampling based on floor area\n", - "2024-05-14 18:29:22,542 - acbm.assigning - DEBUG - Activity 30532: Initial number of options for activity = 100\n", - "2024-05-14 18:29:22,545 - acbm.assigning - DEBUG - Activity 30532: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:22,546 - acbm.assigning - DEBUG - Activity 30532: sampling based on floor area\n", - "2024-05-14 18:29:22,548 - acbm.assigning - DEBUG - Activity 30534: Initial number of options for activity = 100\n", - "2024-05-14 18:29:22,550 - acbm.assigning - DEBUG - Activity 30534: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:22,551 - acbm.assigning - DEBUG - Activity 30534: sampling based on floor area\n", - "2024-05-14 18:29:22,552 - acbm.assigning - DEBUG - Activity 30536: Initial number of options for activity = 100\n", - "2024-05-14 18:29:22,554 - acbm.assigning - DEBUG - Activity 30536: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:22,555 - acbm.assigning - DEBUG - Activity 30536: sampling based on floor area\n", - "2024-05-14 18:29:22,556 - acbm.assigning - DEBUG - Activity 30538: Initial number of options for activity = 100\n", - "2024-05-14 18:29:22,559 - acbm.assigning - DEBUG - Activity 30538: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:22,560 - acbm.assigning - DEBUG - Activity 30538: sampling based on floor area\n", - "2024-05-14 18:29:22,561 - acbm.assigning - DEBUG - Activity 30844: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,563 - acbm.assigning - DEBUG - Activity 30844: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,563 - acbm.assigning - DEBUG - Activity 30844: sampling based on floor area\n", - "2024-05-14 18:29:22,564 - acbm.assigning - DEBUG - Activity 30846: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,566 - acbm.assigning - DEBUG - Activity 30846: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,566 - acbm.assigning - DEBUG - Activity 30846: sampling based on floor area\n", - "2024-05-14 18:29:22,568 - acbm.assigning - DEBUG - Activity 30849: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,569 - acbm.assigning - DEBUG - Activity 30849: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,570 - acbm.assigning - DEBUG - Activity 30849: sampling based on floor area\n", - "2024-05-14 18:29:22,571 - acbm.assigning - DEBUG - Activity 30851: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,573 - acbm.assigning - DEBUG - Activity 30851: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,573 - acbm.assigning - DEBUG - Activity 30851: sampling based on floor area\n", - "2024-05-14 18:29:22,574 - acbm.assigning - DEBUG - Activity 30855: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,576 - acbm.assigning - DEBUG - Activity 30855: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,577 - acbm.assigning - DEBUG - Activity 30855: sampling based on floor area\n", - "2024-05-14 18:29:22,578 - acbm.assigning - INFO - Activity 31189: No zones available\n", - "2024-05-14 18:29:22,578 - acbm.assigning - INFO - Activity 31351: No zones available\n", - "2024-05-14 18:29:22,579 - acbm.assigning - DEBUG - Activity 31425: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,580 - acbm.assigning - DEBUG - Activity 31425: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,581 - acbm.assigning - DEBUG - Activity 31425: sampling based on floor area\n", - "2024-05-14 18:29:22,581 - acbm.assigning - DEBUG - Activity 31426: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,582 - acbm.assigning - DEBUG - Activity 31426: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,583 - acbm.assigning - DEBUG - Activity 31426: sampling based on floor area\n", - "2024-05-14 18:29:22,585 - acbm.assigning - DEBUG - Activity 31427: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,587 - acbm.assigning - DEBUG - Activity 31427: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,588 - acbm.assigning - DEBUG - Activity 31427: sampling based on floor area\n", - "2024-05-14 18:29:22,589 - acbm.assigning - DEBUG - Activity 31433: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,592 - acbm.assigning - DEBUG - Activity 31433: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,593 - acbm.assigning - DEBUG - Activity 31433: sampling based on floor area\n", - "2024-05-14 18:29:22,595 - acbm.assigning - DEBUG - Activity 31439: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,597 - acbm.assigning - DEBUG - Activity 31439: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,598 - acbm.assigning - DEBUG - Activity 31439: sampling based on floor area\n", - "2024-05-14 18:29:22,599 - acbm.assigning - DEBUG - Activity 31600: Initial number of options for activity = 2\n", - "2024-05-14 18:29:22,601 - acbm.assigning - DEBUG - Activity 31600: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:22,602 - acbm.assigning - DEBUG - Activity 31600: sampling based on floor area\n", - "2024-05-14 18:29:22,603 - acbm.assigning - DEBUG - Activity 31602: Initial number of options for activity = 2\n", - "2024-05-14 18:29:22,606 - acbm.assigning - DEBUG - Activity 31602: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:22,607 - acbm.assigning - DEBUG - Activity 31602: sampling based on floor area\n", - "2024-05-14 18:29:22,608 - acbm.assigning - DEBUG - Activity 31604: Initial number of options for activity = 2\n", - "2024-05-14 18:29:22,612 - acbm.assigning - DEBUG - Activity 31604: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:22,613 - acbm.assigning - DEBUG - Activity 31604: sampling based on floor area\n", - "2024-05-14 18:29:22,614 - acbm.assigning - DEBUG - Activity 31606: Initial number of options for activity = 2\n", - "2024-05-14 18:29:22,616 - acbm.assigning - DEBUG - Activity 31606: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:22,616 - acbm.assigning - DEBUG - Activity 31606: sampling based on floor area\n", - "2024-05-14 18:29:22,617 - acbm.assigning - DEBUG - Activity 31740: Initial number of options for activity = 10\n", - "2024-05-14 18:29:22,619 - acbm.assigning - DEBUG - Activity 31740: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:22,620 - acbm.assigning - DEBUG - Activity 31740: sampling based on floor area\n", - "2024-05-14 18:29:22,622 - acbm.assigning - DEBUG - Activity 31742: Initial number of options for activity = 10\n", - "2024-05-14 18:29:22,625 - acbm.assigning - DEBUG - Activity 31742: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:22,626 - acbm.assigning - DEBUG - Activity 31742: sampling based on floor area\n", - "2024-05-14 18:29:22,628 - acbm.assigning - DEBUG - Activity 31746: Initial number of options for activity = 10\n", - "2024-05-14 18:29:22,631 - acbm.assigning - DEBUG - Activity 31746: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:22,641 - acbm.assigning - DEBUG - Activity 31746: sampling based on floor area\n", - "2024-05-14 18:29:22,643 - acbm.assigning - DEBUG - Activity 31751: Initial number of options for activity = 10\n", - "2024-05-14 18:29:22,647 - acbm.assigning - DEBUG - Activity 31751: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:22,648 - acbm.assigning - DEBUG - Activity 31751: sampling based on floor area\n", - "2024-05-14 18:29:22,650 - acbm.assigning - DEBUG - Activity 31753: Initial number of options for activity = 10\n", - "2024-05-14 18:29:22,652 - acbm.assigning - DEBUG - Activity 31753: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:22,654 - acbm.assigning - DEBUG - Activity 31753: sampling based on floor area\n", - "2024-05-14 18:29:22,656 - acbm.assigning - DEBUG - Activity 31818: Initial number of options for activity = 164\n", - "2024-05-14 18:29:22,660 - acbm.assigning - DEBUG - Activity 31818: Number of options after filtering by education type: 164\n", - "2024-05-14 18:29:22,660 - acbm.assigning - DEBUG - Activity 31818: sampling based on floor area\n", - "2024-05-14 18:29:22,662 - acbm.assigning - DEBUG - Activity 31825: Initial number of options for activity = 67\n", - "2024-05-14 18:29:22,663 - acbm.assigning - DEBUG - Activity 31825: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:22,664 - acbm.assigning - DEBUG - Activity 31825: sampling based on floor area\n", - "2024-05-14 18:29:22,665 - acbm.assigning - DEBUG - Activity 31827: Initial number of options for activity = 51\n", - "2024-05-14 18:29:22,667 - acbm.assigning - DEBUG - Activity 31827: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:22,667 - acbm.assigning - DEBUG - Activity 31827: sampling based on floor area\n", - "2024-05-14 18:29:22,669 - acbm.assigning - DEBUG - Activity 31831: Initial number of options for activity = 22\n", - "2024-05-14 18:29:22,671 - acbm.assigning - DEBUG - Activity 31831: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:22,672 - acbm.assigning - DEBUG - Activity 31831: sampling based on floor area\n", - "2024-05-14 18:29:22,674 - acbm.assigning - DEBUG - Activity 32238: Initial number of options for activity = 103\n", - "2024-05-14 18:29:22,676 - acbm.assigning - DEBUG - Activity 32238: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:22,677 - acbm.assigning - DEBUG - Activity 32238: sampling based on floor area\n", - "2024-05-14 18:29:22,678 - acbm.assigning - DEBUG - Activity 32240: Initial number of options for activity = 103\n", - "2024-05-14 18:29:22,680 - acbm.assigning - DEBUG - Activity 32240: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:22,681 - acbm.assigning - DEBUG - Activity 32240: sampling based on floor area\n", - "2024-05-14 18:29:22,682 - acbm.assigning - DEBUG - Activity 32244: Initial number of options for activity = 103\n", - "2024-05-14 18:29:22,684 - acbm.assigning - DEBUG - Activity 32244: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:22,685 - acbm.assigning - DEBUG - Activity 32244: sampling based on floor area\n", - "2024-05-14 18:29:22,686 - acbm.assigning - DEBUG - Activity 32246: Initial number of options for activity = 103\n", - "2024-05-14 18:29:22,688 - acbm.assigning - DEBUG - Activity 32246: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:22,689 - acbm.assigning - DEBUG - Activity 32246: sampling based on floor area\n", - "2024-05-14 18:29:22,690 - acbm.assigning - DEBUG - Activity 32248: Initial number of options for activity = 103\n", - "2024-05-14 18:29:22,693 - acbm.assigning - DEBUG - Activity 32248: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:22,694 - acbm.assigning - DEBUG - Activity 32248: sampling based on floor area\n", - "2024-05-14 18:29:22,695 - acbm.assigning - DEBUG - Activity 32288: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,697 - acbm.assigning - DEBUG - Activity 32288: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,698 - acbm.assigning - DEBUG - Activity 32288: sampling based on floor area\n", - "2024-05-14 18:29:22,699 - acbm.assigning - DEBUG - Activity 32290: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,702 - acbm.assigning - DEBUG - Activity 32290: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,703 - acbm.assigning - DEBUG - Activity 32290: sampling based on floor area\n", - "2024-05-14 18:29:22,704 - acbm.assigning - DEBUG - Activity 32294: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,707 - acbm.assigning - DEBUG - Activity 32294: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,708 - acbm.assigning - DEBUG - Activity 32294: sampling based on floor area\n", - "2024-05-14 18:29:22,710 - acbm.assigning - DEBUG - Activity 32299: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,713 - acbm.assigning - DEBUG - Activity 32299: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,714 - acbm.assigning - DEBUG - Activity 32299: sampling based on floor area\n", - "2024-05-14 18:29:22,715 - acbm.assigning - DEBUG - Activity 32301: Initial number of options for activity = 5\n", - "2024-05-14 18:29:22,717 - acbm.assigning - DEBUG - Activity 32301: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:22,717 - acbm.assigning - DEBUG - Activity 32301: sampling based on floor area\n", - "2024-05-14 18:29:22,719 - acbm.assigning - DEBUG - Activity 32367: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,721 - acbm.assigning - DEBUG - Activity 32367: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,722 - acbm.assigning - DEBUG - Activity 32367: sampling based on floor area\n", - "2024-05-14 18:29:22,723 - acbm.assigning - DEBUG - Activity 32440: Initial number of options for activity = 39\n", - "2024-05-14 18:29:22,726 - acbm.assigning - DEBUG - Activity 32440: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:22,727 - acbm.assigning - DEBUG - Activity 32440: sampling based on floor area\n", - "2024-05-14 18:29:22,728 - acbm.assigning - DEBUG - Activity 32442: Initial number of options for activity = 39\n", - "2024-05-14 18:29:22,730 - acbm.assigning - DEBUG - Activity 32442: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:22,731 - acbm.assigning - DEBUG - Activity 32442: sampling based on floor area\n", - "2024-05-14 18:29:22,732 - acbm.assigning - DEBUG - Activity 32446: Initial number of options for activity = 39\n", - "2024-05-14 18:29:22,735 - acbm.assigning - DEBUG - Activity 32446: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:22,747 - acbm.assigning - DEBUG - Activity 32446: sampling based on floor area\n", - "2024-05-14 18:29:22,750 - acbm.assigning - DEBUG - Activity 32448: Initial number of options for activity = 39\n", - "2024-05-14 18:29:22,752 - acbm.assigning - DEBUG - Activity 32448: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:22,753 - acbm.assigning - DEBUG - Activity 32448: sampling based on floor area\n", - "2024-05-14 18:29:22,755 - acbm.assigning - DEBUG - Activity 32450: Initial number of options for activity = 39\n", - "2024-05-14 18:29:22,759 - acbm.assigning - DEBUG - Activity 32450: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:22,761 - acbm.assigning - DEBUG - Activity 32450: sampling based on floor area\n", - "2024-05-14 18:29:22,763 - acbm.assigning - DEBUG - Activity 32510: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,768 - acbm.assigning - DEBUG - Activity 32510: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,770 - acbm.assigning - DEBUG - Activity 32510: sampling based on floor area\n", - "2024-05-14 18:29:22,772 - acbm.assigning - DEBUG - Activity 32512: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,774 - acbm.assigning - DEBUG - Activity 32512: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,775 - acbm.assigning - DEBUG - Activity 32512: sampling based on floor area\n", - "2024-05-14 18:29:22,777 - acbm.assigning - DEBUG - Activity 32514: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,780 - acbm.assigning - DEBUG - Activity 32514: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,781 - acbm.assigning - DEBUG - Activity 32514: sampling based on floor area\n", - "2024-05-14 18:29:22,783 - acbm.assigning - DEBUG - Activity 32518: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,785 - acbm.assigning - DEBUG - Activity 32518: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,786 - acbm.assigning - DEBUG - Activity 32518: sampling based on floor area\n", - "2024-05-14 18:29:22,788 - acbm.assigning - DEBUG - Activity 32659: Initial number of options for activity = 37\n", - "2024-05-14 18:29:22,790 - acbm.assigning - DEBUG - Activity 32659: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:22,791 - acbm.assigning - DEBUG - Activity 32659: sampling based on floor area\n", - "2024-05-14 18:29:22,793 - acbm.assigning - DEBUG - Activity 32661: Initial number of options for activity = 37\n", - "2024-05-14 18:29:22,796 - acbm.assigning - DEBUG - Activity 32661: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:22,797 - acbm.assigning - DEBUG - Activity 32661: sampling based on floor area\n", - "2024-05-14 18:29:22,799 - acbm.assigning - DEBUG - Activity 32663: Initial number of options for activity = 37\n", - "2024-05-14 18:29:22,801 - acbm.assigning - DEBUG - Activity 32663: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:22,803 - acbm.assigning - DEBUG - Activity 32663: sampling based on floor area\n", - "2024-05-14 18:29:22,805 - acbm.assigning - DEBUG - Activity 32665: Initial number of options for activity = 37\n", - "2024-05-14 18:29:22,808 - acbm.assigning - DEBUG - Activity 32665: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:22,810 - acbm.assigning - DEBUG - Activity 32665: sampling based on floor area\n", - "2024-05-14 18:29:22,812 - acbm.assigning - DEBUG - Activity 32849: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,815 - acbm.assigning - DEBUG - Activity 32849: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,816 - acbm.assigning - DEBUG - Activity 32849: sampling based on floor area\n", - "2024-05-14 18:29:22,818 - acbm.assigning - DEBUG - Activity 33233: Initial number of options for activity = 102\n", - "2024-05-14 18:29:22,822 - acbm.assigning - DEBUG - Activity 33233: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:22,823 - acbm.assigning - DEBUG - Activity 33233: sampling based on floor area\n", - "2024-05-14 18:29:22,826 - acbm.assigning - DEBUG - Activity 33235: Initial number of options for activity = 102\n", - "2024-05-14 18:29:22,830 - acbm.assigning - DEBUG - Activity 33235: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:22,831 - acbm.assigning - DEBUG - Activity 33235: sampling based on floor area\n", - "2024-05-14 18:29:22,833 - acbm.assigning - DEBUG - Activity 33237: Initial number of options for activity = 102\n", - "2024-05-14 18:29:22,838 - acbm.assigning - DEBUG - Activity 33237: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:22,839 - acbm.assigning - DEBUG - Activity 33237: sampling based on floor area\n", - "2024-05-14 18:29:22,841 - acbm.assigning - DEBUG - Activity 33239: Initial number of options for activity = 102\n", - "2024-05-14 18:29:22,844 - acbm.assigning - DEBUG - Activity 33239: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:22,848 - acbm.assigning - DEBUG - Activity 33239: sampling based on floor area\n", - "2024-05-14 18:29:22,850 - acbm.assigning - DEBUG - Activity 33494: Initial number of options for activity = 101\n", - "2024-05-14 18:29:22,854 - acbm.assigning - DEBUG - Activity 33494: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:22,855 - acbm.assigning - DEBUG - Activity 33494: sampling based on floor area\n", - "2024-05-14 18:29:22,857 - acbm.assigning - DEBUG - Activity 33496: Initial number of options for activity = 101\n", - "2024-05-14 18:29:22,861 - acbm.assigning - DEBUG - Activity 33496: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:22,862 - acbm.assigning - DEBUG - Activity 33496: sampling based on floor area\n", - "2024-05-14 18:29:22,864 - acbm.assigning - DEBUG - Activity 33500: Initial number of options for activity = 101\n", - "2024-05-14 18:29:22,868 - acbm.assigning - DEBUG - Activity 33500: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:22,869 - acbm.assigning - DEBUG - Activity 33500: sampling based on floor area\n", - "2024-05-14 18:29:22,872 - acbm.assigning - DEBUG - Activity 33502: Initial number of options for activity = 101\n", - "2024-05-14 18:29:22,875 - acbm.assigning - DEBUG - Activity 33502: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:22,876 - acbm.assigning - DEBUG - Activity 33502: sampling based on floor area\n", - "2024-05-14 18:29:22,878 - acbm.assigning - DEBUG - Activity 33504: Initial number of options for activity = 101\n", - "2024-05-14 18:29:22,881 - acbm.assigning - DEBUG - Activity 33504: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:22,883 - acbm.assigning - DEBUG - Activity 33504: sampling based on floor area\n", - "2024-05-14 18:29:22,885 - acbm.assigning - DEBUG - Activity 33576: Initial number of options for activity = 7\n", - "2024-05-14 18:29:22,888 - acbm.assigning - DEBUG - Activity 33576: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:22,889 - acbm.assigning - DEBUG - Activity 33576: sampling based on floor area\n", - "2024-05-14 18:29:22,891 - acbm.assigning - DEBUG - Activity 33578: Initial number of options for activity = 7\n", - "2024-05-14 18:29:22,894 - acbm.assigning - DEBUG - Activity 33578: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:22,896 - acbm.assigning - DEBUG - Activity 33578: sampling based on floor area\n", - "2024-05-14 18:29:22,897 - acbm.assigning - DEBUG - Activity 33582: Initial number of options for activity = 7\n", - "2024-05-14 18:29:22,900 - acbm.assigning - DEBUG - Activity 33582: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:22,903 - acbm.assigning - DEBUG - Activity 33582: sampling based on floor area\n", - "2024-05-14 18:29:22,906 - acbm.assigning - DEBUG - Activity 33584: Initial number of options for activity = 7\n", - "2024-05-14 18:29:22,909 - acbm.assigning - DEBUG - Activity 33584: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:22,911 - acbm.assigning - DEBUG - Activity 33584: sampling based on floor area\n", - "2024-05-14 18:29:22,912 - acbm.assigning - DEBUG - Activity 33690: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,915 - acbm.assigning - DEBUG - Activity 33690: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,917 - acbm.assigning - DEBUG - Activity 33690: sampling based on floor area\n", - "2024-05-14 18:29:22,919 - acbm.assigning - DEBUG - Activity 33701: Initial number of options for activity = 1\n", - "2024-05-14 18:29:22,922 - acbm.assigning - DEBUG - Activity 33701: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:22,923 - acbm.assigning - DEBUG - Activity 33701: sampling based on floor area\n", - "2024-05-14 18:29:22,925 - acbm.assigning - DEBUG - Activity 33811: Initial number of options for activity = 4\n", - "2024-05-14 18:29:22,928 - acbm.assigning - DEBUG - Activity 33811: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:22,930 - acbm.assigning - DEBUG - Activity 33811: sampling based on floor area\n", - "2024-05-14 18:29:22,932 - acbm.assigning - DEBUG - Activity 33812: Initial number of options for activity = 4\n", - "2024-05-14 18:29:22,935 - acbm.assigning - DEBUG - Activity 33812: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:22,936 - acbm.assigning - DEBUG - Activity 33812: sampling based on floor area\n", - "2024-05-14 18:29:22,938 - acbm.assigning - DEBUG - Activity 33816: Initial number of options for activity = 4\n", - "2024-05-14 18:29:22,942 - acbm.assigning - DEBUG - Activity 33816: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:22,943 - acbm.assigning - DEBUG - Activity 33816: sampling based on floor area\n", - "2024-05-14 18:29:22,945 - acbm.assigning - DEBUG - Activity 33817: Initial number of options for activity = 4\n", - "2024-05-14 18:29:22,948 - acbm.assigning - DEBUG - Activity 33817: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:22,949 - acbm.assigning - DEBUG - Activity 33817: sampling based on floor area\n", - "2024-05-14 18:29:22,955 - acbm.assigning - DEBUG - Activity 33820: Initial number of options for activity = 4\n", - "2024-05-14 18:29:22,958 - acbm.assigning - DEBUG - Activity 33820: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:22,959 - acbm.assigning - DEBUG - Activity 33820: sampling based on floor area\n", - "2024-05-14 18:29:22,961 - acbm.assigning - INFO - Activity 33855: No zones available\n", - "2024-05-14 18:29:22,963 - acbm.assigning - INFO - Activity 33857: No zones available\n", - "2024-05-14 18:29:22,963 - acbm.assigning - INFO - Activity 33859: No zones available\n", - "2024-05-14 18:29:22,964 - acbm.assigning - INFO - Activity 33861: No zones available\n", - "2024-05-14 18:29:22,965 - acbm.assigning - DEBUG - Activity 34069: Initial number of options for activity = 99\n", - "2024-05-14 18:29:22,968 - acbm.assigning - DEBUG - Activity 34069: Number of options after filtering by education type: 99\n", - "2024-05-14 18:29:22,969 - acbm.assigning - DEBUG - Activity 34069: sampling based on floor area\n", - "2024-05-14 18:29:22,970 - acbm.assigning - DEBUG - Activity 34071: Initial number of options for activity = 99\n", - "2024-05-14 18:29:22,973 - acbm.assigning - DEBUG - Activity 34071: Number of options after filtering by education type: 99\n", - "2024-05-14 18:29:22,974 - acbm.assigning - DEBUG - Activity 34071: sampling based on floor area\n", - "2024-05-14 18:29:22,977 - acbm.assigning - DEBUG - Activity 34073: Initial number of options for activity = 99\n", - "2024-05-14 18:29:22,981 - acbm.assigning - DEBUG - Activity 34073: Number of options after filtering by education type: 99\n", - "2024-05-14 18:29:22,982 - acbm.assigning - DEBUG - Activity 34073: sampling based on floor area\n", - "2024-05-14 18:29:22,983 - acbm.assigning - DEBUG - Activity 34075: Initial number of options for activity = 99\n", - "2024-05-14 18:29:22,986 - acbm.assigning - DEBUG - Activity 34075: Number of options after filtering by education type: 99\n", - "2024-05-14 18:29:22,988 - acbm.assigning - DEBUG - Activity 34075: sampling based on floor area\n", - "2024-05-14 18:29:22,990 - acbm.assigning - DEBUG - Activity 34124: Initial number of options for activity = 18\n", - "2024-05-14 18:29:22,993 - acbm.assigning - DEBUG - Activity 34124: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:22,995 - acbm.assigning - DEBUG - Activity 34124: sampling based on floor area\n", - "2024-05-14 18:29:22,997 - acbm.assigning - DEBUG - Activity 34134: Initial number of options for activity = 18\n", - "2024-05-14 18:29:22,999 - acbm.assigning - DEBUG - Activity 34134: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:23,000 - acbm.assigning - DEBUG - Activity 34134: sampling based on floor area\n", - "2024-05-14 18:29:23,001 - acbm.assigning - DEBUG - Activity 34648: Initial number of options for activity = 77\n", - "2024-05-14 18:29:23,003 - acbm.assigning - DEBUG - Activity 34648: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:23,004 - acbm.assigning - DEBUG - Activity 34648: sampling based on floor area\n", - "2024-05-14 18:29:23,005 - acbm.assigning - DEBUG - Activity 34650: Initial number of options for activity = 77\n", - "2024-05-14 18:29:23,007 - acbm.assigning - DEBUG - Activity 34650: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:23,009 - acbm.assigning - DEBUG - Activity 34650: sampling based on floor area\n", - "2024-05-14 18:29:23,010 - acbm.assigning - DEBUG - Activity 34654: Initial number of options for activity = 77\n", - "2024-05-14 18:29:23,013 - acbm.assigning - DEBUG - Activity 34654: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:23,014 - acbm.assigning - DEBUG - Activity 34654: sampling based on floor area\n", - "2024-05-14 18:29:23,015 - acbm.assigning - DEBUG - Activity 34656: Initial number of options for activity = 77\n", - "2024-05-14 18:29:23,017 - acbm.assigning - DEBUG - Activity 34656: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:23,018 - acbm.assigning - DEBUG - Activity 34656: sampling based on floor area\n", - "2024-05-14 18:29:23,019 - acbm.assigning - DEBUG - Activity 34658: Initial number of options for activity = 77\n", - "2024-05-14 18:29:23,022 - acbm.assigning - DEBUG - Activity 34658: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:23,023 - acbm.assigning - DEBUG - Activity 34658: sampling based on floor area\n", - "2024-05-14 18:29:23,025 - acbm.assigning - DEBUG - Activity 34693: Initial number of options for activity = 101\n", - "2024-05-14 18:29:23,027 - acbm.assigning - DEBUG - Activity 34693: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:23,028 - acbm.assigning - DEBUG - Activity 34693: sampling based on floor area\n", - "2024-05-14 18:29:23,030 - acbm.assigning - DEBUG - Activity 34695: Initial number of options for activity = 101\n", - "2024-05-14 18:29:23,033 - acbm.assigning - DEBUG - Activity 34695: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:23,042 - acbm.assigning - DEBUG - Activity 34695: sampling based on floor area\n", - "2024-05-14 18:29:23,045 - acbm.assigning - DEBUG - Activity 34699: Initial number of options for activity = 101\n", - "2024-05-14 18:29:23,048 - acbm.assigning - DEBUG - Activity 34699: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:23,050 - acbm.assigning - DEBUG - Activity 34699: sampling based on floor area\n", - "2024-05-14 18:29:23,051 - acbm.assigning - DEBUG - Activity 34701: Initial number of options for activity = 101\n", - "2024-05-14 18:29:23,055 - acbm.assigning - DEBUG - Activity 34701: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:23,056 - acbm.assigning - DEBUG - Activity 34701: sampling based on floor area\n", - "2024-05-14 18:29:23,058 - acbm.assigning - DEBUG - Activity 34703: Initial number of options for activity = 101\n", - "2024-05-14 18:29:23,060 - acbm.assigning - DEBUG - Activity 34703: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:23,062 - acbm.assigning - DEBUG - Activity 34703: sampling based on floor area\n", - "2024-05-14 18:29:23,063 - acbm.assigning - DEBUG - Activity 34967: Initial number of options for activity = 8\n", - "2024-05-14 18:29:23,066 - acbm.assigning - DEBUG - Activity 34967: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:23,067 - acbm.assigning - DEBUG - Activity 34967: sampling based on floor area\n", - "2024-05-14 18:29:23,068 - acbm.assigning - DEBUG - Activity 34971: Initial number of options for activity = 8\n", - "2024-05-14 18:29:23,071 - acbm.assigning - DEBUG - Activity 34971: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:23,072 - acbm.assigning - DEBUG - Activity 34971: sampling based on floor area\n", - "2024-05-14 18:29:23,073 - acbm.assigning - DEBUG - Activity 34973: Initial number of options for activity = 8\n", - "2024-05-14 18:29:23,076 - acbm.assigning - DEBUG - Activity 34973: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:23,078 - acbm.assigning - DEBUG - Activity 34973: sampling based on floor area\n", - "2024-05-14 18:29:23,080 - acbm.assigning - DEBUG - Activity 34975: Initial number of options for activity = 8\n", - "2024-05-14 18:29:23,083 - acbm.assigning - DEBUG - Activity 34975: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:23,084 - acbm.assigning - DEBUG - Activity 34975: sampling based on floor area\n", - "2024-05-14 18:29:23,086 - acbm.assigning - DEBUG - Activity 34977: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,089 - acbm.assigning - DEBUG - Activity 34977: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,090 - acbm.assigning - DEBUG - Activity 34977: sampling based on floor area\n", - "2024-05-14 18:29:23,092 - acbm.assigning - INFO - Activity 35210: No zones available\n", - "2024-05-14 18:29:23,093 - acbm.assigning - INFO - Activity 35212: No zones available\n", - "2024-05-14 18:29:23,094 - acbm.assigning - INFO - Activity 35214: No zones available\n", - "2024-05-14 18:29:23,095 - acbm.assigning - INFO - Activity 35216: No zones available\n", - "2024-05-14 18:29:23,095 - acbm.assigning - DEBUG - Activity 35228: Initial number of options for activity = 2\n", - "2024-05-14 18:29:23,098 - acbm.assigning - DEBUG - Activity 35228: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:23,099 - acbm.assigning - DEBUG - Activity 35228: sampling based on floor area\n", - "2024-05-14 18:29:23,101 - acbm.assigning - DEBUG - Activity 35231: Initial number of options for activity = 2\n", - "2024-05-14 18:29:23,104 - acbm.assigning - DEBUG - Activity 35231: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:23,105 - acbm.assigning - DEBUG - Activity 35231: sampling based on floor area\n", - "2024-05-14 18:29:23,112 - acbm.assigning - DEBUG - Activity 35339: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,116 - acbm.assigning - DEBUG - Activity 35339: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,129 - acbm.assigning - DEBUG - Activity 35339: sampling based on floor area\n", - "2024-05-14 18:29:23,130 - acbm.assigning - DEBUG - Activity 35341: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,134 - acbm.assigning - DEBUG - Activity 35341: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,137 - acbm.assigning - DEBUG - Activity 35341: sampling based on floor area\n", - "2024-05-14 18:29:23,139 - acbm.assigning - DEBUG - Activity 35345: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,144 - acbm.assigning - DEBUG - Activity 35345: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,145 - acbm.assigning - DEBUG - Activity 35345: sampling based on floor area\n", - "2024-05-14 18:29:23,147 - acbm.assigning - DEBUG - Activity 35347: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,154 - acbm.assigning - DEBUG - Activity 35347: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,155 - acbm.assigning - DEBUG - Activity 35347: sampling based on floor area\n", - "2024-05-14 18:29:23,157 - acbm.assigning - DEBUG - Activity 35349: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,161 - acbm.assigning - DEBUG - Activity 35349: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,167 - acbm.assigning - DEBUG - Activity 35349: sampling based on floor area\n", - "2024-05-14 18:29:23,169 - acbm.assigning - DEBUG - Activity 35504: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,173 - acbm.assigning - DEBUG - Activity 35504: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,174 - acbm.assigning - DEBUG - Activity 35504: sampling based on floor area\n", - "2024-05-14 18:29:23,176 - acbm.assigning - DEBUG - Activity 35506: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,179 - acbm.assigning - DEBUG - Activity 35506: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,180 - acbm.assigning - DEBUG - Activity 35506: sampling based on floor area\n", - "2024-05-14 18:29:23,182 - acbm.assigning - DEBUG - Activity 35510: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,187 - acbm.assigning - DEBUG - Activity 35510: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,188 - acbm.assigning - DEBUG - Activity 35510: sampling based on floor area\n", - "2024-05-14 18:29:23,189 - acbm.assigning - DEBUG - Activity 35512: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,192 - acbm.assigning - DEBUG - Activity 35512: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,196 - acbm.assigning - DEBUG - Activity 35512: sampling based on floor area\n", - "2024-05-14 18:29:23,199 - acbm.assigning - DEBUG - Activity 35514: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,203 - acbm.assigning - DEBUG - Activity 35514: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,204 - acbm.assigning - DEBUG - Activity 35514: sampling based on floor area\n", - "2024-05-14 18:29:23,205 - acbm.assigning - DEBUG - Activity 35580: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,208 - acbm.assigning - DEBUG - Activity 35580: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,210 - acbm.assigning - DEBUG - Activity 35580: sampling based on floor area\n", - "2024-05-14 18:29:23,211 - acbm.assigning - DEBUG - Activity 35582: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,213 - acbm.assigning - DEBUG - Activity 35582: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,215 - acbm.assigning - DEBUG - Activity 35582: sampling based on floor area\n", - "2024-05-14 18:29:23,217 - acbm.assigning - DEBUG - Activity 35584: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,220 - acbm.assigning - DEBUG - Activity 35584: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,220 - acbm.assigning - DEBUG - Activity 35584: sampling based on floor area\n", - "2024-05-14 18:29:23,223 - acbm.assigning - DEBUG - Activity 35586: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,225 - acbm.assigning - DEBUG - Activity 35586: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,227 - acbm.assigning - DEBUG - Activity 35586: sampling based on floor area\n", - "2024-05-14 18:29:23,229 - acbm.assigning - DEBUG - Activity 35687: Initial number of options for activity = 14\n", - "2024-05-14 18:29:23,232 - acbm.assigning - DEBUG - Activity 35687: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:23,233 - acbm.assigning - DEBUG - Activity 35687: sampling based on floor area\n", - "2024-05-14 18:29:23,235 - acbm.assigning - DEBUG - Activity 35689: Initial number of options for activity = 14\n", - "2024-05-14 18:29:23,238 - acbm.assigning - DEBUG - Activity 35689: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:23,239 - acbm.assigning - DEBUG - Activity 35689: sampling based on floor area\n", - "2024-05-14 18:29:23,241 - acbm.assigning - DEBUG - Activity 35693: Initial number of options for activity = 14\n", - "2024-05-14 18:29:23,243 - acbm.assigning - DEBUG - Activity 35693: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:23,244 - acbm.assigning - DEBUG - Activity 35693: sampling based on floor area\n", - "2024-05-14 18:29:23,246 - acbm.assigning - DEBUG - Activity 35695: Initial number of options for activity = 14\n", - "2024-05-14 18:29:23,248 - acbm.assigning - DEBUG - Activity 35695: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:23,249 - acbm.assigning - DEBUG - Activity 35695: sampling based on floor area\n", - "2024-05-14 18:29:23,251 - acbm.assigning - DEBUG - Activity 35721: Initial number of options for activity = 30\n", - "2024-05-14 18:29:23,254 - acbm.assigning - DEBUG - Activity 35721: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:23,255 - acbm.assigning - DEBUG - Activity 35721: sampling based on floor area\n", - "2024-05-14 18:29:23,257 - acbm.assigning - DEBUG - Activity 35723: Initial number of options for activity = 30\n", - "2024-05-14 18:29:23,260 - acbm.assigning - DEBUG - Activity 35723: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:23,261 - acbm.assigning - DEBUG - Activity 35723: sampling based on floor area\n", - "2024-05-14 18:29:23,262 - acbm.assigning - DEBUG - Activity 35775: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,264 - acbm.assigning - DEBUG - Activity 35775: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,265 - acbm.assigning - DEBUG - Activity 35775: sampling based on floor area\n", - "2024-05-14 18:29:23,267 - acbm.assigning - DEBUG - Activity 35912: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,271 - acbm.assigning - DEBUG - Activity 35912: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,272 - acbm.assigning - DEBUG - Activity 35912: sampling based on floor area\n", - "2024-05-14 18:29:23,274 - acbm.assigning - DEBUG - Activity 35928: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,278 - acbm.assigning - DEBUG - Activity 35928: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,279 - acbm.assigning - DEBUG - Activity 35928: sampling based on floor area\n", - "2024-05-14 18:29:23,280 - acbm.assigning - DEBUG - Activity 35933: Initial number of options for activity = 23\n", - "2024-05-14 18:29:23,283 - acbm.assigning - DEBUG - Activity 35933: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:23,284 - acbm.assigning - DEBUG - Activity 35933: sampling based on floor area\n", - "2024-05-14 18:29:23,286 - acbm.assigning - DEBUG - Activity 35937: Initial number of options for activity = 23\n", - "2024-05-14 18:29:23,289 - acbm.assigning - DEBUG - Activity 35937: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:23,291 - acbm.assigning - DEBUG - Activity 35937: sampling based on floor area\n", - "2024-05-14 18:29:23,293 - acbm.assigning - DEBUG - Activity 35941: Initial number of options for activity = 23\n", - "2024-05-14 18:29:23,296 - acbm.assigning - DEBUG - Activity 35941: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:23,297 - acbm.assigning - DEBUG - Activity 35941: sampling based on floor area\n", - "2024-05-14 18:29:23,299 - acbm.assigning - DEBUG - Activity 35947: Initial number of options for activity = 23\n", - "2024-05-14 18:29:23,303 - acbm.assigning - DEBUG - Activity 35947: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:23,305 - acbm.assigning - DEBUG - Activity 35947: sampling based on floor area\n", - "2024-05-14 18:29:23,307 - acbm.assigning - DEBUG - Activity 35989: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,310 - acbm.assigning - DEBUG - Activity 35989: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,311 - acbm.assigning - DEBUG - Activity 35989: sampling based on floor area\n", - "2024-05-14 18:29:23,314 - acbm.assigning - DEBUG - Activity 35991: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,317 - acbm.assigning - DEBUG - Activity 35991: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,319 - acbm.assigning - DEBUG - Activity 35991: sampling based on floor area\n", - "2024-05-14 18:29:23,320 - acbm.assigning - DEBUG - Activity 35993: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,324 - acbm.assigning - DEBUG - Activity 35993: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,325 - acbm.assigning - DEBUG - Activity 35993: sampling based on floor area\n", - "2024-05-14 18:29:23,327 - acbm.assigning - DEBUG - Activity 35995: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,330 - acbm.assigning - DEBUG - Activity 35995: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,331 - acbm.assigning - DEBUG - Activity 35995: sampling based on floor area\n", - "2024-05-14 18:29:23,332 - acbm.assigning - DEBUG - Activity 35997: Initial number of options for activity = 3\n", - "2024-05-14 18:29:23,335 - acbm.assigning - DEBUG - Activity 35997: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:23,336 - acbm.assigning - DEBUG - Activity 35997: sampling based on floor area\n", - "2024-05-14 18:29:23,337 - acbm.assigning - INFO - Activity 36135: No zones available\n", - "2024-05-14 18:29:23,337 - acbm.assigning - DEBUG - Activity 36437: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,340 - acbm.assigning - DEBUG - Activity 36437: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,341 - acbm.assigning - DEBUG - Activity 36437: sampling based on floor area\n", - "2024-05-14 18:29:23,342 - acbm.assigning - DEBUG - Activity 36494: Initial number of options for activity = 33\n", - "2024-05-14 18:29:23,344 - acbm.assigning - DEBUG - Activity 36494: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:23,345 - acbm.assigning - DEBUG - Activity 36494: sampling based on floor area\n", - "2024-05-14 18:29:23,346 - acbm.assigning - DEBUG - Activity 36504: Initial number of options for activity = 33\n", - "2024-05-14 18:29:23,349 - acbm.assigning - DEBUG - Activity 36504: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:23,350 - acbm.assigning - DEBUG - Activity 36504: sampling based on floor area\n", - "2024-05-14 18:29:23,352 - acbm.assigning - DEBUG - Activity 36506: Initial number of options for activity = 33\n", - "2024-05-14 18:29:23,354 - acbm.assigning - DEBUG - Activity 36506: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:23,355 - acbm.assigning - DEBUG - Activity 36506: sampling based on floor area\n", - "2024-05-14 18:29:23,356 - acbm.assigning - DEBUG - Activity 36510: Initial number of options for activity = 33\n", - "2024-05-14 18:29:23,359 - acbm.assigning - DEBUG - Activity 36510: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:23,360 - acbm.assigning - DEBUG - Activity 36510: sampling based on floor area\n", - "2024-05-14 18:29:23,361 - acbm.assigning - DEBUG - Activity 36512: Initial number of options for activity = 33\n", - "2024-05-14 18:29:23,364 - acbm.assigning - DEBUG - Activity 36512: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:23,364 - acbm.assigning - DEBUG - Activity 36512: sampling based on floor area\n", - "2024-05-14 18:29:23,366 - acbm.assigning - DEBUG - Activity 36544: Initial number of options for activity = 88\n", - "2024-05-14 18:29:23,368 - acbm.assigning - DEBUG - Activity 36544: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:23,369 - acbm.assigning - DEBUG - Activity 36544: sampling based on floor area\n", - "2024-05-14 18:29:23,371 - acbm.assigning - DEBUG - Activity 36546: Initial number of options for activity = 88\n", - "2024-05-14 18:29:23,375 - acbm.assigning - DEBUG - Activity 36546: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:23,376 - acbm.assigning - DEBUG - Activity 36546: sampling based on floor area\n", - "2024-05-14 18:29:23,377 - acbm.assigning - DEBUG - Activity 36550: Initial number of options for activity = 88\n", - "2024-05-14 18:29:23,380 - acbm.assigning - DEBUG - Activity 36550: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:23,381 - acbm.assigning - DEBUG - Activity 36550: sampling based on floor area\n", - "2024-05-14 18:29:23,382 - acbm.assigning - DEBUG - Activity 36552: Initial number of options for activity = 88\n", - "2024-05-14 18:29:23,385 - acbm.assigning - DEBUG - Activity 36552: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:23,387 - acbm.assigning - DEBUG - Activity 36552: sampling based on floor area\n", - "2024-05-14 18:29:23,389 - acbm.assigning - DEBUG - Activity 36554: Initial number of options for activity = 88\n", - "2024-05-14 18:29:23,391 - acbm.assigning - DEBUG - Activity 36554: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:23,392 - acbm.assigning - DEBUG - Activity 36554: sampling based on floor area\n", - "2024-05-14 18:29:23,394 - acbm.assigning - DEBUG - Activity 36612: Initial number of options for activity = 7\n", - "2024-05-14 18:29:23,396 - acbm.assigning - DEBUG - Activity 36612: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:23,399 - acbm.assigning - DEBUG - Activity 36612: sampling based on floor area\n", - "2024-05-14 18:29:23,404 - acbm.assigning - DEBUG - Activity 36613: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,409 - acbm.assigning - DEBUG - Activity 36613: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,410 - acbm.assigning - DEBUG - Activity 36613: sampling based on floor area\n", - "2024-05-14 18:29:23,411 - acbm.assigning - DEBUG - Activity 36617: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,414 - acbm.assigning - DEBUG - Activity 36617: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,415 - acbm.assigning - DEBUG - Activity 36617: sampling based on floor area\n", - "2024-05-14 18:29:23,417 - acbm.assigning - DEBUG - Activity 36618: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,420 - acbm.assigning - DEBUG - Activity 36618: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,421 - acbm.assigning - DEBUG - Activity 36618: sampling based on floor area\n", - "2024-05-14 18:29:23,423 - acbm.assigning - DEBUG - Activity 36621: Initial number of options for activity = 7\n", - "2024-05-14 18:29:23,426 - acbm.assigning - DEBUG - Activity 36621: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:23,428 - acbm.assigning - DEBUG - Activity 36621: sampling based on floor area\n", - "2024-05-14 18:29:23,430 - acbm.assigning - DEBUG - Activity 36828: Initial number of options for activity = 2\n", - "2024-05-14 18:29:23,432 - acbm.assigning - DEBUG - Activity 36828: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:23,433 - acbm.assigning - DEBUG - Activity 36828: sampling based on floor area\n", - "2024-05-14 18:29:23,435 - acbm.assigning - DEBUG - Activity 36857: Initial number of options for activity = 25\n", - "2024-05-14 18:29:23,438 - acbm.assigning - DEBUG - Activity 36857: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:23,439 - acbm.assigning - DEBUG - Activity 36857: sampling based on floor area\n", - "2024-05-14 18:29:23,441 - acbm.assigning - DEBUG - Activity 36859: Initial number of options for activity = 92\n", - "2024-05-14 18:29:23,443 - acbm.assigning - DEBUG - Activity 36859: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:23,444 - acbm.assigning - DEBUG - Activity 36859: sampling based on floor area\n", - "2024-05-14 18:29:23,446 - acbm.assigning - DEBUG - Activity 36861: Initial number of options for activity = 166\n", - "2024-05-14 18:29:23,449 - acbm.assigning - DEBUG - Activity 36861: Number of options after filtering by education type: 166\n", - "2024-05-14 18:29:23,450 - acbm.assigning - DEBUG - Activity 36861: sampling based on floor area\n", - "2024-05-14 18:29:23,451 - acbm.assigning - DEBUG - Activity 36867: Initial number of options for activity = 78\n", - "2024-05-14 18:29:23,454 - acbm.assigning - DEBUG - Activity 36867: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:23,455 - acbm.assigning - DEBUG - Activity 36867: sampling based on floor area\n", - "2024-05-14 18:29:23,457 - acbm.assigning - DEBUG - Activity 36869: Initial number of options for activity = 10\n", - "2024-05-14 18:29:23,460 - acbm.assigning - DEBUG - Activity 36869: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:23,461 - acbm.assigning - DEBUG - Activity 36869: sampling based on floor area\n", - "2024-05-14 18:29:23,463 - acbm.assigning - DEBUG - Activity 36871: Initial number of options for activity = 10\n", - "2024-05-14 18:29:23,465 - acbm.assigning - DEBUG - Activity 36871: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:23,467 - acbm.assigning - DEBUG - Activity 36871: sampling based on floor area\n", - "2024-05-14 18:29:23,468 - acbm.assigning - DEBUG - Activity 36898: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,470 - acbm.assigning - DEBUG - Activity 36898: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,471 - acbm.assigning - DEBUG - Activity 36898: sampling based on floor area\n", - "2024-05-14 18:29:23,473 - acbm.assigning - DEBUG - Activity 36901: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,475 - acbm.assigning - DEBUG - Activity 36901: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,476 - acbm.assigning - DEBUG - Activity 36901: sampling based on floor area\n", - "2024-05-14 18:29:23,478 - acbm.assigning - DEBUG - Activity 36902: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,480 - acbm.assigning - DEBUG - Activity 36902: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,481 - acbm.assigning - DEBUG - Activity 36902: sampling based on floor area\n", - "2024-05-14 18:29:23,482 - acbm.assigning - DEBUG - Activity 36903: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,485 - acbm.assigning - DEBUG - Activity 36903: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,492 - acbm.assigning - DEBUG - Activity 36903: sampling based on floor area\n", - "2024-05-14 18:29:23,494 - acbm.assigning - DEBUG - Activity 36907: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,498 - acbm.assigning - DEBUG - Activity 36907: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,500 - acbm.assigning - DEBUG - Activity 36907: sampling based on floor area\n", - "2024-05-14 18:29:23,502 - acbm.assigning - DEBUG - Activity 37029: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,505 - acbm.assigning - DEBUG - Activity 37029: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,506 - acbm.assigning - DEBUG - Activity 37029: sampling based on floor area\n", - "2024-05-14 18:29:23,508 - acbm.assigning - DEBUG - Activity 37031: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,510 - acbm.assigning - DEBUG - Activity 37031: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,511 - acbm.assigning - DEBUG - Activity 37031: sampling based on floor area\n", - "2024-05-14 18:29:23,512 - acbm.assigning - DEBUG - Activity 37036: Initial number of options for activity = 2\n", - "2024-05-14 18:29:23,514 - acbm.assigning - DEBUG - Activity 37036: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:23,515 - acbm.assigning - DEBUG - Activity 37036: sampling based on floor area\n", - "2024-05-14 18:29:23,517 - acbm.assigning - DEBUG - Activity 37041: Initial number of options for activity = 74\n", - "2024-05-14 18:29:23,519 - acbm.assigning - DEBUG - Activity 37041: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:23,520 - acbm.assigning - DEBUG - Activity 37041: sampling based on floor area\n", - "2024-05-14 18:29:23,521 - acbm.assigning - DEBUG - Activity 37042: Initial number of options for activity = 74\n", - "2024-05-14 18:29:23,525 - acbm.assigning - DEBUG - Activity 37042: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:23,526 - acbm.assigning - DEBUG - Activity 37042: sampling based on floor area\n", - "2024-05-14 18:29:23,527 - acbm.assigning - DEBUG - Activity 37050: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,530 - acbm.assigning - DEBUG - Activity 37050: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,531 - acbm.assigning - DEBUG - Activity 37050: sampling based on floor area\n", - "2024-05-14 18:29:23,532 - acbm.assigning - DEBUG - Activity 37052: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,534 - acbm.assigning - DEBUG - Activity 37052: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,535 - acbm.assigning - DEBUG - Activity 37052: sampling based on floor area\n", - "2024-05-14 18:29:23,537 - acbm.assigning - DEBUG - Activity 37054: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,539 - acbm.assigning - DEBUG - Activity 37054: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,541 - acbm.assigning - DEBUG - Activity 37054: sampling based on floor area\n", - "2024-05-14 18:29:23,543 - acbm.assigning - DEBUG - Activity 37056: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,545 - acbm.assigning - DEBUG - Activity 37056: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,547 - acbm.assigning - DEBUG - Activity 37056: sampling based on floor area\n", - "2024-05-14 18:29:23,548 - acbm.assigning - DEBUG - Activity 37169: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,551 - acbm.assigning - DEBUG - Activity 37169: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,552 - acbm.assigning - DEBUG - Activity 37169: sampling based on floor area\n", - "2024-05-14 18:29:23,554 - acbm.assigning - DEBUG - Activity 37171: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,556 - acbm.assigning - DEBUG - Activity 37171: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,558 - acbm.assigning - DEBUG - Activity 37171: sampling based on floor area\n", - "2024-05-14 18:29:23,559 - acbm.assigning - DEBUG - Activity 37175: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,561 - acbm.assigning - DEBUG - Activity 37175: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,562 - acbm.assigning - DEBUG - Activity 37175: sampling based on floor area\n", - "2024-05-14 18:29:23,563 - acbm.assigning - DEBUG - Activity 37177: Initial number of options for activity = 9\n", - "2024-05-14 18:29:23,564 - acbm.assigning - DEBUG - Activity 37177: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:23,573 - acbm.assigning - DEBUG - Activity 37177: sampling based on floor area\n", - "2024-05-14 18:29:23,574 - acbm.assigning - DEBUG - Activity 37228: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,578 - acbm.assigning - DEBUG - Activity 37228: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,580 - acbm.assigning - DEBUG - Activity 37228: sampling based on floor area\n", - "2024-05-14 18:29:23,581 - acbm.assigning - DEBUG - Activity 37229: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,584 - acbm.assigning - DEBUG - Activity 37229: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,585 - acbm.assigning - DEBUG - Activity 37229: sampling based on floor area\n", - "2024-05-14 18:29:23,587 - acbm.assigning - DEBUG - Activity 37230: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,590 - acbm.assigning - DEBUG - Activity 37230: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,591 - acbm.assigning - DEBUG - Activity 37230: sampling based on floor area\n", - "2024-05-14 18:29:23,592 - acbm.assigning - DEBUG - Activity 37294: Initial number of options for activity = 156\n", - "2024-05-14 18:29:23,594 - acbm.assigning - DEBUG - Activity 37294: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:23,595 - acbm.assigning - DEBUG - Activity 37294: sampling based on floor area\n", - "2024-05-14 18:29:23,596 - acbm.assigning - DEBUG - Activity 37295: Initial number of options for activity = 156\n", - "2024-05-14 18:29:23,599 - acbm.assigning - DEBUG - Activity 37295: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:23,601 - acbm.assigning - DEBUG - Activity 37295: sampling based on floor area\n", - "2024-05-14 18:29:23,602 - acbm.assigning - DEBUG - Activity 37296: Initial number of options for activity = 160\n", - "2024-05-14 18:29:23,605 - acbm.assigning - DEBUG - Activity 37296: Number of options after filtering by education type: 160\n", - "2024-05-14 18:29:23,606 - acbm.assigning - DEBUG - Activity 37296: sampling based on floor area\n", - "2024-05-14 18:29:23,608 - acbm.assigning - DEBUG - Activity 37297: Initial number of options for activity = 156\n", - "2024-05-14 18:29:23,610 - acbm.assigning - DEBUG - Activity 37297: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:23,611 - acbm.assigning - DEBUG - Activity 37297: sampling based on floor area\n", - "2024-05-14 18:29:23,612 - acbm.assigning - DEBUG - Activity 37301: Initial number of options for activity = 97\n", - "2024-05-14 18:29:23,614 - acbm.assigning - DEBUG - Activity 37301: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:23,615 - acbm.assigning - DEBUG - Activity 37301: sampling based on floor area\n", - "2024-05-14 18:29:23,617 - acbm.assigning - DEBUG - Activity 37400: Initial number of options for activity = 10\n", - "2024-05-14 18:29:23,619 - acbm.assigning - DEBUG - Activity 37400: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:23,620 - acbm.assigning - DEBUG - Activity 37400: sampling based on floor area\n", - "2024-05-14 18:29:23,622 - acbm.assigning - DEBUG - Activity 37402: Initial number of options for activity = 13\n", - "2024-05-14 18:29:23,625 - acbm.assigning - DEBUG - Activity 37402: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:23,626 - acbm.assigning - DEBUG - Activity 37402: sampling based on floor area\n", - "2024-05-14 18:29:23,627 - acbm.assigning - DEBUG - Activity 37405: Initial number of options for activity = 13\n", - "2024-05-14 18:29:23,630 - acbm.assigning - DEBUG - Activity 37405: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:23,630 - acbm.assigning - DEBUG - Activity 37405: sampling based on floor area\n", - "2024-05-14 18:29:23,631 - acbm.assigning - DEBUG - Activity 37406: Initial number of options for activity = 13\n", - "2024-05-14 18:29:23,634 - acbm.assigning - DEBUG - Activity 37406: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:23,634 - acbm.assigning - DEBUG - Activity 37406: sampling based on floor area\n", - "2024-05-14 18:29:23,636 - acbm.assigning - DEBUG - Activity 37508: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,639 - acbm.assigning - DEBUG - Activity 37508: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,640 - acbm.assigning - DEBUG - Activity 37508: sampling based on floor area\n", - "2024-05-14 18:29:23,641 - acbm.assigning - DEBUG - Activity 37512: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,644 - acbm.assigning - DEBUG - Activity 37512: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,645 - acbm.assigning - DEBUG - Activity 37512: sampling based on floor area\n", - "2024-05-14 18:29:23,646 - acbm.assigning - DEBUG - Activity 37517: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,649 - acbm.assigning - DEBUG - Activity 37517: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,651 - acbm.assigning - DEBUG - Activity 37517: sampling based on floor area\n", - "2024-05-14 18:29:23,653 - acbm.assigning - DEBUG - Activity 37519: Initial number of options for activity = 42\n", - "2024-05-14 18:29:23,656 - acbm.assigning - DEBUG - Activity 37519: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:23,658 - acbm.assigning - DEBUG - Activity 37519: sampling based on floor area\n", - "2024-05-14 18:29:23,660 - acbm.assigning - DEBUG - Activity 37522: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,662 - acbm.assigning - DEBUG - Activity 37522: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,664 - acbm.assigning - DEBUG - Activity 37522: sampling based on floor area\n", - "2024-05-14 18:29:23,665 - acbm.assigning - DEBUG - Activity 37687: Initial number of options for activity = 43\n", - "2024-05-14 18:29:23,667 - acbm.assigning - DEBUG - Activity 37687: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:23,668 - acbm.assigning - DEBUG - Activity 37687: sampling based on floor area\n", - "2024-05-14 18:29:23,669 - acbm.assigning - DEBUG - Activity 37689: Initial number of options for activity = 43\n", - "2024-05-14 18:29:23,672 - acbm.assigning - DEBUG - Activity 37689: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:23,673 - acbm.assigning - DEBUG - Activity 37689: sampling based on floor area\n", - "2024-05-14 18:29:23,674 - acbm.assigning - DEBUG - Activity 37691: Initial number of options for activity = 43\n", - "2024-05-14 18:29:23,676 - acbm.assigning - DEBUG - Activity 37691: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:23,677 - acbm.assigning - DEBUG - Activity 37691: sampling based on floor area\n", - "2024-05-14 18:29:23,679 - acbm.assigning - DEBUG - Activity 37693: Initial number of options for activity = 43\n", - "2024-05-14 18:29:23,680 - acbm.assigning - DEBUG - Activity 37693: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:23,681 - acbm.assigning - DEBUG - Activity 37693: sampling based on floor area\n", - "2024-05-14 18:29:23,683 - acbm.assigning - DEBUG - Activity 37842: Initial number of options for activity = 13\n", - "2024-05-14 18:29:23,686 - acbm.assigning - DEBUG - Activity 37842: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:23,687 - acbm.assigning - DEBUG - Activity 37842: sampling based on floor area\n", - "2024-05-14 18:29:23,688 - acbm.assigning - DEBUG - Activity 38023: Initial number of options for activity = 106\n", - "2024-05-14 18:29:23,692 - acbm.assigning - DEBUG - Activity 38023: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:23,693 - acbm.assigning - DEBUG - Activity 38023: sampling based on floor area\n", - "2024-05-14 18:29:23,695 - acbm.assigning - DEBUG - Activity 38025: Initial number of options for activity = 106\n", - "2024-05-14 18:29:23,699 - acbm.assigning - DEBUG - Activity 38025: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:23,700 - acbm.assigning - DEBUG - Activity 38025: sampling based on floor area\n", - "2024-05-14 18:29:23,702 - acbm.assigning - DEBUG - Activity 38027: Initial number of options for activity = 106\n", - "2024-05-14 18:29:23,704 - acbm.assigning - DEBUG - Activity 38027: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:23,705 - acbm.assigning - DEBUG - Activity 38027: sampling based on floor area\n", - "2024-05-14 18:29:23,707 - acbm.assigning - DEBUG - Activity 38029: Initial number of options for activity = 106\n", - "2024-05-14 18:29:23,711 - acbm.assigning - DEBUG - Activity 38029: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:23,712 - acbm.assigning - DEBUG - Activity 38029: sampling based on floor area\n", - "2024-05-14 18:29:23,713 - acbm.assigning - DEBUG - Activity 38048: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,716 - acbm.assigning - DEBUG - Activity 38048: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,717 - acbm.assigning - DEBUG - Activity 38048: sampling based on floor area\n", - "2024-05-14 18:29:23,718 - acbm.assigning - DEBUG - Activity 38050: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,721 - acbm.assigning - DEBUG - Activity 38050: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,722 - acbm.assigning - DEBUG - Activity 38050: sampling based on floor area\n", - "2024-05-14 18:29:23,723 - acbm.assigning - DEBUG - Activity 38054: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,725 - acbm.assigning - DEBUG - Activity 38054: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,726 - acbm.assigning - DEBUG - Activity 38054: sampling based on floor area\n", - "2024-05-14 18:29:23,728 - acbm.assigning - DEBUG - Activity 38056: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,733 - acbm.assigning - DEBUG - Activity 38056: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,734 - acbm.assigning - DEBUG - Activity 38056: sampling based on floor area\n", - "2024-05-14 18:29:23,736 - acbm.assigning - DEBUG - Activity 38205: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,739 - acbm.assigning - DEBUG - Activity 38205: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,741 - acbm.assigning - DEBUG - Activity 38205: sampling based on floor area\n", - "2024-05-14 18:29:23,743 - acbm.assigning - DEBUG - Activity 38233: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,745 - acbm.assigning - DEBUG - Activity 38233: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,746 - acbm.assigning - DEBUG - Activity 38233: sampling based on floor area\n", - "2024-05-14 18:29:23,748 - acbm.assigning - DEBUG - Activity 38510: Initial number of options for activity = 98\n", - "2024-05-14 18:29:23,754 - acbm.assigning - DEBUG - Activity 38510: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:23,756 - acbm.assigning - DEBUG - Activity 38510: sampling based on floor area\n", - "2024-05-14 18:29:23,758 - acbm.assigning - DEBUG - Activity 38515: Initial number of options for activity = 98\n", - "2024-05-14 18:29:23,762 - acbm.assigning - DEBUG - Activity 38515: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:23,764 - acbm.assigning - DEBUG - Activity 38515: sampling based on floor area\n", - "2024-05-14 18:29:23,765 - acbm.assigning - DEBUG - Activity 38519: Initial number of options for activity = 98\n", - "2024-05-14 18:29:23,769 - acbm.assigning - DEBUG - Activity 38519: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:23,771 - acbm.assigning - DEBUG - Activity 38519: sampling based on floor area\n", - "2024-05-14 18:29:23,773 - acbm.assigning - INFO - Activity 38536: No zones available\n", - "2024-05-14 18:29:23,774 - acbm.assigning - DEBUG - Activity 38538: Initial number of options for activity = 91\n", - "2024-05-14 18:29:23,777 - acbm.assigning - DEBUG - Activity 38538: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:23,778 - acbm.assigning - DEBUG - Activity 38538: sampling based on floor area\n", - "2024-05-14 18:29:23,780 - acbm.assigning - INFO - Activity 38590: No zones available\n", - "2024-05-14 18:29:23,781 - acbm.assigning - INFO - Activity 38592: No zones available\n", - "2024-05-14 18:29:23,782 - acbm.assigning - INFO - Activity 38597: No zones available\n", - "2024-05-14 18:29:23,783 - acbm.assigning - INFO - Activity 38602: No zones available\n", - "2024-05-14 18:29:23,784 - acbm.assigning - INFO - Activity 38609: No zones available\n", - "2024-05-14 18:29:23,785 - acbm.assigning - DEBUG - Activity 38693: Initial number of options for activity = 100\n", - "2024-05-14 18:29:23,788 - acbm.assigning - DEBUG - Activity 38693: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:23,789 - acbm.assigning - DEBUG - Activity 38693: sampling based on floor area\n", - "2024-05-14 18:29:23,791 - acbm.assigning - DEBUG - Activity 38695: Initial number of options for activity = 100\n", - "2024-05-14 18:29:23,794 - acbm.assigning - DEBUG - Activity 38695: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:23,795 - acbm.assigning - DEBUG - Activity 38695: sampling based on floor area\n", - "2024-05-14 18:29:23,796 - acbm.assigning - DEBUG - Activity 38697: Initial number of options for activity = 100\n", - "2024-05-14 18:29:23,800 - acbm.assigning - DEBUG - Activity 38697: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:23,801 - acbm.assigning - DEBUG - Activity 38697: sampling based on floor area\n", - "2024-05-14 18:29:23,802 - acbm.assigning - DEBUG - Activity 38699: Initial number of options for activity = 100\n", - "2024-05-14 18:29:23,806 - acbm.assigning - DEBUG - Activity 38699: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:23,807 - acbm.assigning - DEBUG - Activity 38699: sampling based on floor area\n", - "2024-05-14 18:29:23,810 - acbm.assigning - DEBUG - Activity 38748: Initial number of options for activity = 2\n", - "2024-05-14 18:29:23,813 - acbm.assigning - DEBUG - Activity 38748: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:23,814 - acbm.assigning - DEBUG - Activity 38748: sampling based on floor area\n", - "2024-05-14 18:29:23,816 - acbm.assigning - DEBUG - Activity 38904: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,819 - acbm.assigning - DEBUG - Activity 38904: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,821 - acbm.assigning - DEBUG - Activity 38904: sampling based on floor area\n", - "2024-05-14 18:29:23,823 - acbm.assigning - DEBUG - Activity 38906: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,826 - acbm.assigning - DEBUG - Activity 38906: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,827 - acbm.assigning - DEBUG - Activity 38906: sampling based on floor area\n", - "2024-05-14 18:29:23,829 - acbm.assigning - DEBUG - Activity 38910: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,833 - acbm.assigning - DEBUG - Activity 38910: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,835 - acbm.assigning - DEBUG - Activity 38910: sampling based on floor area\n", - "2024-05-14 18:29:23,836 - acbm.assigning - DEBUG - Activity 38912: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,842 - acbm.assigning - DEBUG - Activity 38912: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,843 - acbm.assigning - DEBUG - Activity 38912: sampling based on floor area\n", - "2024-05-14 18:29:23,845 - acbm.assigning - INFO - Activity 38953: No zones available\n", - "2024-05-14 18:29:23,847 - acbm.assigning - DEBUG - Activity 39025: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,850 - acbm.assigning - DEBUG - Activity 39025: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,851 - acbm.assigning - DEBUG - Activity 39025: sampling based on floor area\n", - "2024-05-14 18:29:23,854 - acbm.assigning - DEBUG - Activity 39027: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,859 - acbm.assigning - DEBUG - Activity 39027: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,860 - acbm.assigning - DEBUG - Activity 39027: sampling based on floor area\n", - "2024-05-14 18:29:23,862 - acbm.assigning - DEBUG - Activity 39029: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,866 - acbm.assigning - DEBUG - Activity 39029: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,867 - acbm.assigning - DEBUG - Activity 39029: sampling based on floor area\n", - "2024-05-14 18:29:23,870 - acbm.assigning - DEBUG - Activity 39031: Initial number of options for activity = 102\n", - "2024-05-14 18:29:23,873 - acbm.assigning - DEBUG - Activity 39031: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:23,874 - acbm.assigning - DEBUG - Activity 39031: sampling based on floor area\n", - "2024-05-14 18:29:23,876 - acbm.assigning - DEBUG - Activity 39123: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,878 - acbm.assigning - DEBUG - Activity 39123: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,880 - acbm.assigning - DEBUG - Activity 39123: sampling based on floor area\n", - "2024-05-14 18:29:23,881 - acbm.assigning - DEBUG - Activity 39124: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,884 - acbm.assigning - DEBUG - Activity 39124: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,884 - acbm.assigning - DEBUG - Activity 39124: sampling based on floor area\n", - "2024-05-14 18:29:23,886 - acbm.assigning - DEBUG - Activity 39148: Initial number of options for activity = 56\n", - "2024-05-14 18:29:23,888 - acbm.assigning - DEBUG - Activity 39148: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:23,890 - acbm.assigning - DEBUG - Activity 39148: sampling based on floor area\n", - "2024-05-14 18:29:23,892 - acbm.assigning - DEBUG - Activity 39150: Initial number of options for activity = 56\n", - "2024-05-14 18:29:23,895 - acbm.assigning - DEBUG - Activity 39150: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:23,896 - acbm.assigning - DEBUG - Activity 39150: sampling based on floor area\n", - "2024-05-14 18:29:23,898 - acbm.assigning - DEBUG - Activity 39154: Initial number of options for activity = 56\n", - "2024-05-14 18:29:23,900 - acbm.assigning - DEBUG - Activity 39154: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:23,901 - acbm.assigning - DEBUG - Activity 39154: sampling based on floor area\n", - "2024-05-14 18:29:23,902 - acbm.assigning - DEBUG - Activity 39156: Initial number of options for activity = 71\n", - "2024-05-14 18:29:23,905 - acbm.assigning - DEBUG - Activity 39156: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:23,906 - acbm.assigning - DEBUG - Activity 39156: sampling based on floor area\n", - "2024-05-14 18:29:23,916 - acbm.assigning - DEBUG - Activity 39207: Initial number of options for activity = 10\n", - "2024-05-14 18:29:23,920 - acbm.assigning - DEBUG - Activity 39207: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:23,921 - acbm.assigning - DEBUG - Activity 39207: sampling based on floor area\n", - "2024-05-14 18:29:23,923 - acbm.assigning - DEBUG - Activity 39209: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,926 - acbm.assigning - DEBUG - Activity 39209: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,927 - acbm.assigning - DEBUG - Activity 39209: sampling based on floor area\n", - "2024-05-14 18:29:23,931 - acbm.assigning - DEBUG - Activity 39211: Initial number of options for activity = 11\n", - "2024-05-14 18:29:23,936 - acbm.assigning - DEBUG - Activity 39211: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:23,937 - acbm.assigning - DEBUG - Activity 39211: sampling based on floor area\n", - "2024-05-14 18:29:23,939 - acbm.assigning - DEBUG - Activity 39213: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,941 - acbm.assigning - DEBUG - Activity 39213: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,943 - acbm.assigning - DEBUG - Activity 39213: sampling based on floor area\n", - "2024-05-14 18:29:23,944 - acbm.assigning - DEBUG - Activity 39215: Initial number of options for activity = 6\n", - "2024-05-14 18:29:23,947 - acbm.assigning - DEBUG - Activity 39215: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:23,948 - acbm.assigning - DEBUG - Activity 39215: sampling based on floor area\n", - "2024-05-14 18:29:23,949 - acbm.assigning - DEBUG - Activity 39249: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,951 - acbm.assigning - DEBUG - Activity 39249: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,952 - acbm.assigning - DEBUG - Activity 39249: sampling based on floor area\n", - "2024-05-14 18:29:23,954 - acbm.assigning - DEBUG - Activity 39358: Initial number of options for activity = 98\n", - "2024-05-14 18:29:23,957 - acbm.assigning - DEBUG - Activity 39358: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:23,958 - acbm.assigning - DEBUG - Activity 39358: sampling based on floor area\n", - "2024-05-14 18:29:23,960 - acbm.assigning - DEBUG - Activity 39360: Initial number of options for activity = 98\n", - "2024-05-14 18:29:23,964 - acbm.assigning - DEBUG - Activity 39360: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:23,965 - acbm.assigning - DEBUG - Activity 39360: sampling based on floor area\n", - "2024-05-14 18:29:23,966 - acbm.assigning - DEBUG - Activity 39362: Initial number of options for activity = 98\n", - "2024-05-14 18:29:23,968 - acbm.assigning - DEBUG - Activity 39362: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:23,969 - acbm.assigning - DEBUG - Activity 39362: sampling based on floor area\n", - "2024-05-14 18:29:23,970 - acbm.assigning - DEBUG - Activity 39364: Initial number of options for activity = 98\n", - "2024-05-14 18:29:23,974 - acbm.assigning - DEBUG - Activity 39364: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:23,975 - acbm.assigning - DEBUG - Activity 39364: sampling based on floor area\n", - "2024-05-14 18:29:23,976 - acbm.assigning - DEBUG - Activity 39424: Initial number of options for activity = 1\n", - "2024-05-14 18:29:23,979 - acbm.assigning - DEBUG - Activity 39424: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:23,981 - acbm.assigning - DEBUG - Activity 39424: sampling based on floor area\n", - "2024-05-14 18:29:23,983 - acbm.assigning - DEBUG - Activity 39427: Initial number of options for activity = 4\n", - "2024-05-14 18:29:23,985 - acbm.assigning - DEBUG - Activity 39427: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:23,986 - acbm.assigning - DEBUG - Activity 39427: sampling based on floor area\n", - "2024-05-14 18:29:23,988 - acbm.assigning - DEBUG - Activity 39505: Initial number of options for activity = 15\n", - "2024-05-14 18:29:23,991 - acbm.assigning - DEBUG - Activity 39505: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:23,992 - acbm.assigning - DEBUG - Activity 39505: sampling based on floor area\n", - "2024-05-14 18:29:23,993 - acbm.assigning - DEBUG - Activity 39507: Initial number of options for activity = 15\n", - "2024-05-14 18:29:23,995 - acbm.assigning - DEBUG - Activity 39507: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:23,997 - acbm.assigning - DEBUG - Activity 39507: sampling based on floor area\n", - "2024-05-14 18:29:23,999 - acbm.assigning - DEBUG - Activity 39511: Initial number of options for activity = 15\n", - "2024-05-14 18:29:24,001 - acbm.assigning - DEBUG - Activity 39511: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:24,002 - acbm.assigning - DEBUG - Activity 39511: sampling based on floor area\n", - "2024-05-14 18:29:24,003 - acbm.assigning - DEBUG - Activity 39513: Initial number of options for activity = 15\n", - "2024-05-14 18:29:24,006 - acbm.assigning - DEBUG - Activity 39513: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:24,007 - acbm.assigning - DEBUG - Activity 39513: sampling based on floor area\n", - "2024-05-14 18:29:24,008 - acbm.assigning - DEBUG - Activity 39664: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,011 - acbm.assigning - DEBUG - Activity 39664: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,013 - acbm.assigning - DEBUG - Activity 39664: sampling based on floor area\n", - "2024-05-14 18:29:24,015 - acbm.assigning - DEBUG - Activity 39719: Initial number of options for activity = 106\n", - "2024-05-14 18:29:24,019 - acbm.assigning - DEBUG - Activity 39719: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:24,020 - acbm.assigning - DEBUG - Activity 39719: sampling based on floor area\n", - "2024-05-14 18:29:24,021 - acbm.assigning - DEBUG - Activity 39721: Initial number of options for activity = 106\n", - "2024-05-14 18:29:24,024 - acbm.assigning - DEBUG - Activity 39721: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:24,026 - acbm.assigning - DEBUG - Activity 39721: sampling based on floor area\n", - "2024-05-14 18:29:24,028 - acbm.assigning - DEBUG - Activity 39723: Initial number of options for activity = 106\n", - "2024-05-14 18:29:24,032 - acbm.assigning - DEBUG - Activity 39723: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:24,033 - acbm.assigning - DEBUG - Activity 39723: sampling based on floor area\n", - "2024-05-14 18:29:24,036 - acbm.assigning - DEBUG - Activity 39725: Initial number of options for activity = 106\n", - "2024-05-14 18:29:24,040 - acbm.assigning - DEBUG - Activity 39725: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:24,041 - acbm.assigning - DEBUG - Activity 39725: sampling based on floor area\n", - "2024-05-14 18:29:24,042 - acbm.assigning - DEBUG - Activity 39750: Initial number of options for activity = 24\n", - "2024-05-14 18:29:24,045 - acbm.assigning - DEBUG - Activity 39750: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:24,046 - acbm.assigning - DEBUG - Activity 39750: sampling based on floor area\n", - "2024-05-14 18:29:24,048 - acbm.assigning - DEBUG - Activity 39752: Initial number of options for activity = 24\n", - "2024-05-14 18:29:24,050 - acbm.assigning - DEBUG - Activity 39752: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:24,051 - acbm.assigning - DEBUG - Activity 39752: sampling based on floor area\n", - "2024-05-14 18:29:24,053 - acbm.assigning - DEBUG - Activity 39754: Initial number of options for activity = 24\n", - "2024-05-14 18:29:24,056 - acbm.assigning - DEBUG - Activity 39754: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:24,057 - acbm.assigning - DEBUG - Activity 39754: sampling based on floor area\n", - "2024-05-14 18:29:24,059 - acbm.assigning - DEBUG - Activity 39756: Initial number of options for activity = 24\n", - "2024-05-14 18:29:24,062 - acbm.assigning - DEBUG - Activity 39756: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:24,063 - acbm.assigning - DEBUG - Activity 39756: sampling based on floor area\n", - "2024-05-14 18:29:24,065 - acbm.assigning - DEBUG - Activity 39758: Initial number of options for activity = 24\n", - "2024-05-14 18:29:24,069 - acbm.assigning - DEBUG - Activity 39758: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:24,070 - acbm.assigning - DEBUG - Activity 39758: sampling based on floor area\n", - "2024-05-14 18:29:24,071 - acbm.assigning - DEBUG - Activity 39812: Initial number of options for activity = 87\n", - "2024-05-14 18:29:24,074 - acbm.assigning - DEBUG - Activity 39812: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:24,075 - acbm.assigning - DEBUG - Activity 39812: sampling based on floor area\n", - "2024-05-14 18:29:24,077 - acbm.assigning - DEBUG - Activity 39814: Initial number of options for activity = 87\n", - "2024-05-14 18:29:24,081 - acbm.assigning - DEBUG - Activity 39814: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:24,082 - acbm.assigning - DEBUG - Activity 39814: sampling based on floor area\n", - "2024-05-14 18:29:24,083 - acbm.assigning - DEBUG - Activity 39816: Initial number of options for activity = 87\n", - "2024-05-14 18:29:24,085 - acbm.assigning - DEBUG - Activity 39816: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:24,086 - acbm.assigning - DEBUG - Activity 39816: sampling based on floor area\n", - "2024-05-14 18:29:24,088 - acbm.assigning - DEBUG - Activity 39818: Initial number of options for activity = 87\n", - "2024-05-14 18:29:24,090 - acbm.assigning - DEBUG - Activity 39818: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:24,091 - acbm.assigning - DEBUG - Activity 39818: sampling based on floor area\n", - "2024-05-14 18:29:24,092 - acbm.assigning - DEBUG - Activity 40166: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,096 - acbm.assigning - DEBUG - Activity 40166: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,106 - acbm.assigning - DEBUG - Activity 40166: sampling based on floor area\n", - "2024-05-14 18:29:24,108 - acbm.assigning - DEBUG - Activity 40274: Initial number of options for activity = 79\n", - "2024-05-14 18:29:24,112 - acbm.assigning - DEBUG - Activity 40274: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:24,113 - acbm.assigning - DEBUG - Activity 40274: sampling based on floor area\n", - "2024-05-14 18:29:24,116 - acbm.assigning - DEBUG - Activity 40276: Initial number of options for activity = 79\n", - "2024-05-14 18:29:24,119 - acbm.assigning - DEBUG - Activity 40276: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:24,120 - acbm.assigning - DEBUG - Activity 40276: sampling based on floor area\n", - "2024-05-14 18:29:24,122 - acbm.assigning - DEBUG - Activity 40280: Initial number of options for activity = 79\n", - "2024-05-14 18:29:24,126 - acbm.assigning - DEBUG - Activity 40280: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:24,128 - acbm.assigning - DEBUG - Activity 40280: sampling based on floor area\n", - "2024-05-14 18:29:24,129 - acbm.assigning - DEBUG - Activity 40282: Initial number of options for activity = 79\n", - "2024-05-14 18:29:24,132 - acbm.assigning - DEBUG - Activity 40282: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:24,133 - acbm.assigning - DEBUG - Activity 40282: sampling based on floor area\n", - "2024-05-14 18:29:24,134 - acbm.assigning - DEBUG - Activity 40284: Initial number of options for activity = 79\n", - "2024-05-14 18:29:24,137 - acbm.assigning - DEBUG - Activity 40284: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:24,138 - acbm.assigning - DEBUG - Activity 40284: sampling based on floor area\n", - "2024-05-14 18:29:24,140 - acbm.assigning - DEBUG - Activity 40543: Initial number of options for activity = 8\n", - "2024-05-14 18:29:24,142 - acbm.assigning - DEBUG - Activity 40543: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:24,144 - acbm.assigning - DEBUG - Activity 40543: sampling based on floor area\n", - "2024-05-14 18:29:24,145 - acbm.assigning - DEBUG - Activity 40545: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,148 - acbm.assigning - DEBUG - Activity 40545: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,149 - acbm.assigning - DEBUG - Activity 40545: sampling based on floor area\n", - "2024-05-14 18:29:24,150 - acbm.assigning - DEBUG - Activity 40548: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,152 - acbm.assigning - DEBUG - Activity 40548: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,153 - acbm.assigning - DEBUG - Activity 40548: sampling based on floor area\n", - "2024-05-14 18:29:24,154 - acbm.assigning - DEBUG - Activity 40597: Initial number of options for activity = 81\n", - "2024-05-14 18:29:24,157 - acbm.assigning - DEBUG - Activity 40597: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:24,158 - acbm.assigning - DEBUG - Activity 40597: sampling based on floor area\n", - "2024-05-14 18:29:24,159 - acbm.assigning - DEBUG - Activity 40598: Initial number of options for activity = 163\n", - "2024-05-14 18:29:24,162 - acbm.assigning - DEBUG - Activity 40598: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:24,163 - acbm.assigning - DEBUG - Activity 40598: sampling based on floor area\n", - "2024-05-14 18:29:24,166 - acbm.assigning - DEBUG - Activity 40599: Initial number of options for activity = 81\n", - "2024-05-14 18:29:24,169 - acbm.assigning - DEBUG - Activity 40599: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:24,170 - acbm.assigning - DEBUG - Activity 40599: sampling based on floor area\n", - "2024-05-14 18:29:24,172 - acbm.assigning - DEBUG - Activity 40602: Initial number of options for activity = 81\n", - "2024-05-14 18:29:24,184 - acbm.assigning - DEBUG - Activity 40602: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:24,186 - acbm.assigning - DEBUG - Activity 40602: sampling based on floor area\n", - "2024-05-14 18:29:24,188 - acbm.assigning - DEBUG - Activity 40607: Initial number of options for activity = 35\n", - "2024-05-14 18:29:24,192 - acbm.assigning - DEBUG - Activity 40607: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:24,193 - acbm.assigning - DEBUG - Activity 40607: sampling based on floor area\n", - "2024-05-14 18:29:24,195 - acbm.assigning - INFO - Activity 40680: No zones available\n", - "2024-05-14 18:29:24,195 - acbm.assigning - INFO - Activity 40682: No zones available\n", - "2024-05-14 18:29:24,196 - acbm.assigning - INFO - Activity 40687: No zones available\n", - "2024-05-14 18:29:24,197 - acbm.assigning - INFO - Activity 40692: No zones available\n", - "2024-05-14 18:29:24,198 - acbm.assigning - INFO - Activity 40699: No zones available\n", - "2024-05-14 18:29:24,198 - acbm.assigning - DEBUG - Activity 40749: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,203 - acbm.assigning - DEBUG - Activity 40749: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,204 - acbm.assigning - DEBUG - Activity 40749: sampling based on floor area\n", - "2024-05-14 18:29:24,206 - acbm.assigning - DEBUG - Activity 40751: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,210 - acbm.assigning - DEBUG - Activity 40751: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,211 - acbm.assigning - DEBUG - Activity 40751: sampling based on floor area\n", - "2024-05-14 18:29:24,212 - acbm.assigning - DEBUG - Activity 40753: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,214 - acbm.assigning - DEBUG - Activity 40753: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,215 - acbm.assigning - DEBUG - Activity 40753: sampling based on floor area\n", - "2024-05-14 18:29:24,216 - acbm.assigning - DEBUG - Activity 40755: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,219 - acbm.assigning - DEBUG - Activity 40755: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,219 - acbm.assigning - DEBUG - Activity 40755: sampling based on floor area\n", - "2024-05-14 18:29:24,221 - acbm.assigning - DEBUG - Activity 40890: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,223 - acbm.assigning - DEBUG - Activity 40890: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,224 - acbm.assigning - DEBUG - Activity 40890: sampling based on floor area\n", - "2024-05-14 18:29:24,225 - acbm.assigning - DEBUG - Activity 40892: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,229 - acbm.assigning - DEBUG - Activity 40892: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,230 - acbm.assigning - DEBUG - Activity 40892: sampling based on floor area\n", - "2024-05-14 18:29:24,231 - acbm.assigning - DEBUG - Activity 40894: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,233 - acbm.assigning - DEBUG - Activity 40894: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,234 - acbm.assigning - DEBUG - Activity 40894: sampling based on floor area\n", - "2024-05-14 18:29:24,235 - acbm.assigning - DEBUG - Activity 40896: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,237 - acbm.assigning - DEBUG - Activity 40896: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,238 - acbm.assigning - DEBUG - Activity 40896: sampling based on floor area\n", - "2024-05-14 18:29:24,240 - acbm.assigning - DEBUG - Activity 40898: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,243 - acbm.assigning - DEBUG - Activity 40898: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,244 - acbm.assigning - DEBUG - Activity 40898: sampling based on floor area\n", - "2024-05-14 18:29:24,245 - acbm.assigning - DEBUG - Activity 41170: Initial number of options for activity = 38\n", - "2024-05-14 18:29:24,247 - acbm.assigning - DEBUG - Activity 41170: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:24,249 - acbm.assigning - DEBUG - Activity 41170: sampling based on floor area\n", - "2024-05-14 18:29:24,250 - acbm.assigning - DEBUG - Activity 41172: Initial number of options for activity = 38\n", - "2024-05-14 18:29:24,252 - acbm.assigning - DEBUG - Activity 41172: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:24,253 - acbm.assigning - DEBUG - Activity 41172: sampling based on floor area\n", - "2024-05-14 18:29:24,255 - acbm.assigning - DEBUG - Activity 41174: Initial number of options for activity = 38\n", - "2024-05-14 18:29:24,257 - acbm.assigning - DEBUG - Activity 41174: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:24,258 - acbm.assigning - DEBUG - Activity 41174: sampling based on floor area\n", - "2024-05-14 18:29:24,259 - acbm.assigning - DEBUG - Activity 41176: Initial number of options for activity = 38\n", - "2024-05-14 18:29:24,262 - acbm.assigning - DEBUG - Activity 41176: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:24,263 - acbm.assigning - DEBUG - Activity 41176: sampling based on floor area\n", - "2024-05-14 18:29:24,264 - acbm.assigning - DEBUG - Activity 41272: Initial number of options for activity = 74\n", - "2024-05-14 18:29:24,267 - acbm.assigning - DEBUG - Activity 41272: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:24,268 - acbm.assigning - DEBUG - Activity 41272: sampling based on floor area\n", - "2024-05-14 18:29:24,271 - acbm.assigning - DEBUG - Activity 41274: Initial number of options for activity = 74\n", - "2024-05-14 18:29:24,274 - acbm.assigning - DEBUG - Activity 41274: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:24,275 - acbm.assigning - DEBUG - Activity 41274: sampling based on floor area\n", - "2024-05-14 18:29:24,278 - acbm.assigning - DEBUG - Activity 41278: Initial number of options for activity = 74\n", - "2024-05-14 18:29:24,281 - acbm.assigning - DEBUG - Activity 41278: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:24,282 - acbm.assigning - DEBUG - Activity 41278: sampling based on floor area\n", - "2024-05-14 18:29:24,283 - acbm.assigning - DEBUG - Activity 41280: Initial number of options for activity = 74\n", - "2024-05-14 18:29:24,287 - acbm.assigning - DEBUG - Activity 41280: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:24,288 - acbm.assigning - DEBUG - Activity 41280: sampling based on floor area\n", - "2024-05-14 18:29:24,290 - acbm.assigning - DEBUG - Activity 41282: Initial number of options for activity = 74\n", - "2024-05-14 18:29:24,293 - acbm.assigning - DEBUG - Activity 41282: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:24,294 - acbm.assigning - DEBUG - Activity 41282: sampling based on floor area\n", - "2024-05-14 18:29:24,295 - acbm.assigning - INFO - Activity 41343: No zones available\n", - "2024-05-14 18:29:24,296 - acbm.assigning - DEBUG - Activity 41426: Initial number of options for activity = 74\n", - "2024-05-14 18:29:24,297 - acbm.assigning - DEBUG - Activity 41426: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:24,298 - acbm.assigning - DEBUG - Activity 41426: sampling based on floor area\n", - "2024-05-14 18:29:24,300 - acbm.assigning - DEBUG - Activity 41427: Initial number of options for activity = 74\n", - "2024-05-14 18:29:24,302 - acbm.assigning - DEBUG - Activity 41427: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:24,302 - acbm.assigning - DEBUG - Activity 41427: sampling based on floor area\n", - "2024-05-14 18:29:24,304 - acbm.assigning - INFO - Activity 41443: No zones available\n", - "2024-05-14 18:29:24,305 - acbm.assigning - INFO - Activity 41445: No zones available\n", - "2024-05-14 18:29:24,306 - acbm.assigning - DEBUG - Activity 41507: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,308 - acbm.assigning - DEBUG - Activity 41507: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,309 - acbm.assigning - DEBUG - Activity 41507: sampling based on floor area\n", - "2024-05-14 18:29:24,311 - acbm.assigning - DEBUG - Activity 41508: Initial number of options for activity = 6\n", - "2024-05-14 18:29:24,317 - acbm.assigning - DEBUG - Activity 41508: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:24,320 - acbm.assigning - DEBUG - Activity 41508: sampling based on floor area\n", - "2024-05-14 18:29:24,322 - acbm.assigning - DEBUG - Activity 41509: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,325 - acbm.assigning - DEBUG - Activity 41509: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,326 - acbm.assigning - DEBUG - Activity 41509: sampling based on floor area\n", - "2024-05-14 18:29:24,328 - acbm.assigning - DEBUG - Activity 41510: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,331 - acbm.assigning - DEBUG - Activity 41510: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,333 - acbm.assigning - DEBUG - Activity 41510: sampling based on floor area\n", - "2024-05-14 18:29:24,334 - acbm.assigning - DEBUG - Activity 41579: Initial number of options for activity = 158\n", - "2024-05-14 18:29:24,336 - acbm.assigning - DEBUG - Activity 41579: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:24,337 - acbm.assigning - DEBUG - Activity 41579: sampling based on floor area\n", - "2024-05-14 18:29:24,338 - acbm.assigning - DEBUG - Activity 41583: Initial number of options for activity = 54\n", - "2024-05-14 18:29:24,341 - acbm.assigning - DEBUG - Activity 41583: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:24,342 - acbm.assigning - DEBUG - Activity 41583: sampling based on floor area\n", - "2024-05-14 18:29:24,344 - acbm.assigning - DEBUG - Activity 41585: Initial number of options for activity = 104\n", - "2024-05-14 18:29:24,346 - acbm.assigning - DEBUG - Activity 41585: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:24,347 - acbm.assigning - DEBUG - Activity 41585: sampling based on floor area\n", - "2024-05-14 18:29:24,348 - acbm.assigning - DEBUG - Activity 41586: Initial number of options for activity = 104\n", - "2024-05-14 18:29:24,350 - acbm.assigning - DEBUG - Activity 41586: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:24,351 - acbm.assigning - DEBUG - Activity 41586: sampling based on floor area\n", - "2024-05-14 18:29:24,352 - acbm.assigning - DEBUG - Activity 41587: Initial number of options for activity = 104\n", - "2024-05-14 18:29:24,355 - acbm.assigning - DEBUG - Activity 41587: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:24,356 - acbm.assigning - DEBUG - Activity 41587: sampling based on floor area\n", - "2024-05-14 18:29:24,357 - acbm.assigning - DEBUG - Activity 41591: Initial number of options for activity = 41\n", - "2024-05-14 18:29:24,359 - acbm.assigning - DEBUG - Activity 41591: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:24,361 - acbm.assigning - DEBUG - Activity 41591: sampling based on floor area\n", - "2024-05-14 18:29:24,362 - acbm.assigning - DEBUG - Activity 41593: Initial number of options for activity = 22\n", - "2024-05-14 18:29:24,364 - acbm.assigning - DEBUG - Activity 41593: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:24,365 - acbm.assigning - DEBUG - Activity 41593: sampling based on floor area\n", - "2024-05-14 18:29:24,366 - acbm.assigning - DEBUG - Activity 41594: Initial number of options for activity = 41\n", - "2024-05-14 18:29:24,369 - acbm.assigning - DEBUG - Activity 41594: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:24,369 - acbm.assigning - DEBUG - Activity 41594: sampling based on floor area\n", - "2024-05-14 18:29:24,371 - acbm.assigning - DEBUG - Activity 41599: Initial number of options for activity = 46\n", - "2024-05-14 18:29:24,373 - acbm.assigning - DEBUG - Activity 41599: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:24,374 - acbm.assigning - DEBUG - Activity 41599: sampling based on floor area\n", - "2024-05-14 18:29:24,375 - acbm.assigning - DEBUG - Activity 41601: Initial number of options for activity = 41\n", - "2024-05-14 18:29:24,378 - acbm.assigning - DEBUG - Activity 41601: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:24,379 - acbm.assigning - DEBUG - Activity 41601: sampling based on floor area\n", - "2024-05-14 18:29:24,381 - acbm.assigning - DEBUG - Activity 41770: Initial number of options for activity = 118\n", - "2024-05-14 18:29:24,384 - acbm.assigning - DEBUG - Activity 41770: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:24,384 - acbm.assigning - DEBUG - Activity 41770: sampling based on floor area\n", - "2024-05-14 18:29:24,386 - acbm.assigning - DEBUG - Activity 41772: Initial number of options for activity = 118\n", - "2024-05-14 18:29:24,388 - acbm.assigning - DEBUG - Activity 41772: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:24,389 - acbm.assigning - DEBUG - Activity 41772: sampling based on floor area\n", - "2024-05-14 18:29:24,390 - acbm.assigning - DEBUG - Activity 41776: Initial number of options for activity = 118\n", - "2024-05-14 18:29:24,392 - acbm.assigning - DEBUG - Activity 41776: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:24,393 - acbm.assigning - DEBUG - Activity 41776: sampling based on floor area\n", - "2024-05-14 18:29:24,395 - acbm.assigning - DEBUG - Activity 41778: Initial number of options for activity = 118\n", - "2024-05-14 18:29:24,398 - acbm.assigning - DEBUG - Activity 41778: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:24,398 - acbm.assigning - DEBUG - Activity 41778: sampling based on floor area\n", - "2024-05-14 18:29:24,400 - acbm.assigning - DEBUG - Activity 41780: Initial number of options for activity = 118\n", - "2024-05-14 18:29:24,402 - acbm.assigning - DEBUG - Activity 41780: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:24,404 - acbm.assigning - DEBUG - Activity 41780: sampling based on floor area\n", - "2024-05-14 18:29:24,405 - acbm.assigning - DEBUG - Activity 41899: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,407 - acbm.assigning - DEBUG - Activity 41899: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,409 - acbm.assigning - DEBUG - Activity 41899: sampling based on floor area\n", - "2024-05-14 18:29:24,411 - acbm.assigning - DEBUG - Activity 41902: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,413 - acbm.assigning - DEBUG - Activity 41902: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,414 - acbm.assigning - DEBUG - Activity 41902: sampling based on floor area\n", - "2024-05-14 18:29:24,416 - acbm.assigning - DEBUG - Activity 41904: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,419 - acbm.assigning - DEBUG - Activity 41904: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,420 - acbm.assigning - DEBUG - Activity 41904: sampling based on floor area\n", - "2024-05-14 18:29:24,421 - acbm.assigning - DEBUG - Activity 41906: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,423 - acbm.assigning - DEBUG - Activity 41906: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,424 - acbm.assigning - DEBUG - Activity 41906: sampling based on floor area\n", - "2024-05-14 18:29:24,425 - acbm.assigning - DEBUG - Activity 41908: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,427 - acbm.assigning - DEBUG - Activity 41908: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,428 - acbm.assigning - DEBUG - Activity 41908: sampling based on floor area\n", - "2024-05-14 18:29:24,429 - acbm.assigning - DEBUG - Activity 41910: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,431 - acbm.assigning - DEBUG - Activity 41910: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,432 - acbm.assigning - DEBUG - Activity 41910: sampling based on floor area\n", - "2024-05-14 18:29:24,433 - acbm.assigning - DEBUG - Activity 41913: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,435 - acbm.assigning - DEBUG - Activity 41913: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,436 - acbm.assigning - DEBUG - Activity 41913: sampling based on floor area\n", - "2024-05-14 18:29:24,437 - acbm.assigning - DEBUG - Activity 41915: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,440 - acbm.assigning - DEBUG - Activity 41915: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,441 - acbm.assigning - DEBUG - Activity 41915: sampling based on floor area\n", - "2024-05-14 18:29:24,443 - acbm.assigning - DEBUG - Activity 41917: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,445 - acbm.assigning - DEBUG - Activity 41917: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,446 - acbm.assigning - DEBUG - Activity 41917: sampling based on floor area\n", - "2024-05-14 18:29:24,447 - acbm.assigning - DEBUG - Activity 41919: Initial number of options for activity = 4\n", - "2024-05-14 18:29:24,449 - acbm.assigning - DEBUG - Activity 41919: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:24,451 - acbm.assigning - DEBUG - Activity 41919: sampling based on floor area\n", - "2024-05-14 18:29:24,452 - acbm.assigning - DEBUG - Activity 42094: Initial number of options for activity = 35\n", - "2024-05-14 18:29:24,455 - acbm.assigning - DEBUG - Activity 42094: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:24,456 - acbm.assigning - DEBUG - Activity 42094: sampling based on floor area\n", - "2024-05-14 18:29:24,457 - acbm.assigning - DEBUG - Activity 42096: Initial number of options for activity = 35\n", - "2024-05-14 18:29:24,460 - acbm.assigning - DEBUG - Activity 42096: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:24,461 - acbm.assigning - DEBUG - Activity 42096: sampling based on floor area\n", - "2024-05-14 18:29:24,463 - acbm.assigning - DEBUG - Activity 42098: Initial number of options for activity = 35\n", - "2024-05-14 18:29:24,465 - acbm.assigning - DEBUG - Activity 42098: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:24,466 - acbm.assigning - DEBUG - Activity 42098: sampling based on floor area\n", - "2024-05-14 18:29:24,468 - acbm.assigning - DEBUG - Activity 42100: Initial number of options for activity = 35\n", - "2024-05-14 18:29:24,470 - acbm.assigning - DEBUG - Activity 42100: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:24,471 - acbm.assigning - DEBUG - Activity 42100: sampling based on floor area\n", - "2024-05-14 18:29:24,472 - acbm.assigning - INFO - Activity 42234: No zones available\n", - "2024-05-14 18:29:24,473 - acbm.assigning - DEBUG - Activity 42261: Initial number of options for activity = 98\n", - "2024-05-14 18:29:24,475 - acbm.assigning - DEBUG - Activity 42261: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:24,476 - acbm.assigning - DEBUG - Activity 42261: sampling based on floor area\n", - "2024-05-14 18:29:24,478 - acbm.assigning - DEBUG - Activity 42263: Initial number of options for activity = 98\n", - "2024-05-14 18:29:24,480 - acbm.assigning - DEBUG - Activity 42263: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:24,481 - acbm.assigning - DEBUG - Activity 42263: sampling based on floor area\n", - "2024-05-14 18:29:24,482 - acbm.assigning - DEBUG - Activity 42265: Initial number of options for activity = 98\n", - "2024-05-14 18:29:24,485 - acbm.assigning - DEBUG - Activity 42265: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:24,487 - acbm.assigning - DEBUG - Activity 42265: sampling based on floor area\n", - "2024-05-14 18:29:24,490 - acbm.assigning - DEBUG - Activity 42267: Initial number of options for activity = 98\n", - "2024-05-14 18:29:24,493 - acbm.assigning - DEBUG - Activity 42267: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:24,494 - acbm.assigning - DEBUG - Activity 42267: sampling based on floor area\n", - "2024-05-14 18:29:24,497 - acbm.assigning - DEBUG - Activity 42571: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,501 - acbm.assigning - DEBUG - Activity 42571: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,502 - acbm.assigning - DEBUG - Activity 42571: sampling based on floor area\n", - "2024-05-14 18:29:24,504 - acbm.assigning - DEBUG - Activity 42574: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,507 - acbm.assigning - DEBUG - Activity 42574: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,508 - acbm.assigning - DEBUG - Activity 42574: sampling based on floor area\n", - "2024-05-14 18:29:24,510 - acbm.assigning - DEBUG - Activity 42579: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,513 - acbm.assigning - DEBUG - Activity 42579: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,515 - acbm.assigning - DEBUG - Activity 42579: sampling based on floor area\n", - "2024-05-14 18:29:24,516 - acbm.assigning - INFO - Activity 42709: No zones available\n", - "2024-05-14 18:29:24,518 - acbm.assigning - INFO - Activity 42864: No zones available\n", - "2024-05-14 18:29:24,519 - acbm.assigning - INFO - Activity 42865: No zones available\n", - "2024-05-14 18:29:24,519 - acbm.assigning - INFO - Activity 42867: No zones available\n", - "2024-05-14 18:29:24,520 - acbm.assigning - INFO - Activity 42869: No zones available\n", - "2024-05-14 18:29:24,521 - acbm.assigning - INFO - Activity 42871: No zones available\n", - "2024-05-14 18:29:24,521 - acbm.assigning - DEBUG - Activity 43104: Initial number of options for activity = 7\n", - "2024-05-14 18:29:24,524 - acbm.assigning - DEBUG - Activity 43104: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:24,526 - acbm.assigning - DEBUG - Activity 43104: sampling based on floor area\n", - "2024-05-14 18:29:24,528 - acbm.assigning - DEBUG - Activity 43106: Initial number of options for activity = 7\n", - "2024-05-14 18:29:24,531 - acbm.assigning - DEBUG - Activity 43106: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:24,533 - acbm.assigning - DEBUG - Activity 43106: sampling based on floor area\n", - "2024-05-14 18:29:24,535 - acbm.assigning - DEBUG - Activity 43110: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,539 - acbm.assigning - DEBUG - Activity 43110: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,541 - acbm.assigning - DEBUG - Activity 43110: sampling based on floor area\n", - "2024-05-14 18:29:24,542 - acbm.assigning - DEBUG - Activity 43280: Initial number of options for activity = 37\n", - "2024-05-14 18:29:24,546 - acbm.assigning - DEBUG - Activity 43280: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:24,548 - acbm.assigning - DEBUG - Activity 43280: sampling based on floor area\n", - "2024-05-14 18:29:24,549 - acbm.assigning - DEBUG - Activity 43282: Initial number of options for activity = 37\n", - "2024-05-14 18:29:24,552 - acbm.assigning - DEBUG - Activity 43282: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:24,555 - acbm.assigning - DEBUG - Activity 43282: sampling based on floor area\n", - "2024-05-14 18:29:24,556 - acbm.assigning - DEBUG - Activity 43284: Initial number of options for activity = 37\n", - "2024-05-14 18:29:24,560 - acbm.assigning - DEBUG - Activity 43284: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:24,562 - acbm.assigning - DEBUG - Activity 43284: sampling based on floor area\n", - "2024-05-14 18:29:24,564 - acbm.assigning - DEBUG - Activity 43286: Initial number of options for activity = 37\n", - "2024-05-14 18:29:24,567 - acbm.assigning - DEBUG - Activity 43286: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:24,568 - acbm.assigning - DEBUG - Activity 43286: sampling based on floor area\n", - "2024-05-14 18:29:24,570 - acbm.assigning - DEBUG - Activity 43757: Initial number of options for activity = 102\n", - "2024-05-14 18:29:24,573 - acbm.assigning - DEBUG - Activity 43757: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:24,575 - acbm.assigning - DEBUG - Activity 43757: sampling based on floor area\n", - "2024-05-14 18:29:24,580 - acbm.assigning - DEBUG - Activity 43758: Initial number of options for activity = 42\n", - "2024-05-14 18:29:24,595 - acbm.assigning - DEBUG - Activity 43758: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:24,599 - acbm.assigning - DEBUG - Activity 43758: sampling based on floor area\n", - "2024-05-14 18:29:24,601 - acbm.assigning - DEBUG - Activity 43766: Initial number of options for activity = 102\n", - "2024-05-14 18:29:24,603 - acbm.assigning - DEBUG - Activity 43766: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:24,604 - acbm.assigning - DEBUG - Activity 43766: sampling based on floor area\n", - "2024-05-14 18:29:24,606 - acbm.assigning - DEBUG - Activity 43767: Initial number of options for activity = 102\n", - "2024-05-14 18:29:24,608 - acbm.assigning - DEBUG - Activity 43767: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:24,609 - acbm.assigning - DEBUG - Activity 43767: sampling based on floor area\n", - "2024-05-14 18:29:24,610 - acbm.assigning - DEBUG - Activity 43789: Initial number of options for activity = 2\n", - "2024-05-14 18:29:24,613 - acbm.assigning - DEBUG - Activity 43789: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:24,614 - acbm.assigning - DEBUG - Activity 43789: sampling based on floor area\n", - "2024-05-14 18:29:24,616 - acbm.assigning - DEBUG - Activity 43791: Initial number of options for activity = 2\n", - "2024-05-14 18:29:24,619 - acbm.assigning - DEBUG - Activity 43791: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:24,620 - acbm.assigning - DEBUG - Activity 43791: sampling based on floor area\n", - "2024-05-14 18:29:24,621 - acbm.assigning - DEBUG - Activity 43793: Initial number of options for activity = 2\n", - "2024-05-14 18:29:24,624 - acbm.assigning - DEBUG - Activity 43793: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:24,625 - acbm.assigning - DEBUG - Activity 43793: sampling based on floor area\n", - "2024-05-14 18:29:24,627 - acbm.assigning - INFO - Activity 43860: No zones available\n", - "2024-05-14 18:29:24,628 - acbm.assigning - INFO - Activity 43866: No zones available\n", - "2024-05-14 18:29:24,629 - acbm.assigning - DEBUG - Activity 44189: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,631 - acbm.assigning - DEBUG - Activity 44189: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,633 - acbm.assigning - DEBUG - Activity 44189: sampling based on floor area\n", - "2024-05-14 18:29:24,634 - acbm.assigning - DEBUG - Activity 44190: Initial number of options for activity = 2\n", - "2024-05-14 18:29:24,637 - acbm.assigning - DEBUG - Activity 44190: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:24,639 - acbm.assigning - DEBUG - Activity 44190: sampling based on floor area\n", - "2024-05-14 18:29:24,641 - acbm.assigning - DEBUG - Activity 44191: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,643 - acbm.assigning - DEBUG - Activity 44191: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,645 - acbm.assigning - DEBUG - Activity 44191: sampling based on floor area\n", - "2024-05-14 18:29:24,647 - acbm.assigning - DEBUG - Activity 44192: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,649 - acbm.assigning - DEBUG - Activity 44192: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,650 - acbm.assigning - DEBUG - Activity 44192: sampling based on floor area\n", - "2024-05-14 18:29:24,651 - acbm.assigning - DEBUG - Activity 44291: Initial number of options for activity = 21\n", - "2024-05-14 18:29:24,655 - acbm.assigning - DEBUG - Activity 44291: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:24,655 - acbm.assigning - DEBUG - Activity 44291: sampling based on floor area\n", - "2024-05-14 18:29:24,657 - acbm.assigning - DEBUG - Activity 44292: Initial number of options for activity = 21\n", - "2024-05-14 18:29:24,659 - acbm.assigning - DEBUG - Activity 44292: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:24,660 - acbm.assigning - DEBUG - Activity 44292: sampling based on floor area\n", - "2024-05-14 18:29:24,661 - acbm.assigning - DEBUG - Activity 44294: Initial number of options for activity = 21\n", - "2024-05-14 18:29:24,663 - acbm.assigning - DEBUG - Activity 44294: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:24,664 - acbm.assigning - DEBUG - Activity 44294: sampling based on floor area\n", - "2024-05-14 18:29:24,665 - acbm.assigning - DEBUG - Activity 44298: Initial number of options for activity = 21\n", - "2024-05-14 18:29:24,668 - acbm.assigning - DEBUG - Activity 44298: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:24,669 - acbm.assigning - DEBUG - Activity 44298: sampling based on floor area\n", - "2024-05-14 18:29:24,671 - acbm.assigning - INFO - Activity 44468: No zones available\n", - "2024-05-14 18:29:24,673 - acbm.assigning - DEBUG - Activity 44568: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,675 - acbm.assigning - DEBUG - Activity 44568: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,676 - acbm.assigning - DEBUG - Activity 44568: sampling based on floor area\n", - "2024-05-14 18:29:24,677 - acbm.assigning - DEBUG - Activity 44569: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,679 - acbm.assigning - DEBUG - Activity 44569: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,680 - acbm.assigning - DEBUG - Activity 44569: sampling based on floor area\n", - "2024-05-14 18:29:24,680 - acbm.assigning - DEBUG - Activity 44573: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,683 - acbm.assigning - DEBUG - Activity 44573: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,684 - acbm.assigning - DEBUG - Activity 44573: sampling based on floor area\n", - "2024-05-14 18:29:24,685 - acbm.assigning - DEBUG - Activity 44574: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,687 - acbm.assigning - DEBUG - Activity 44574: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,687 - acbm.assigning - DEBUG - Activity 44574: sampling based on floor area\n", - "2024-05-14 18:29:24,689 - acbm.assigning - DEBUG - Activity 44580: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,691 - acbm.assigning - DEBUG - Activity 44580: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,692 - acbm.assigning - DEBUG - Activity 44580: sampling based on floor area\n", - "2024-05-14 18:29:24,693 - acbm.assigning - DEBUG - Activity 44582: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,695 - acbm.assigning - DEBUG - Activity 44582: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,696 - acbm.assigning - DEBUG - Activity 44582: sampling based on floor area\n", - "2024-05-14 18:29:24,698 - acbm.assigning - DEBUG - Activity 44588: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,699 - acbm.assigning - DEBUG - Activity 44588: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,700 - acbm.assigning - DEBUG - Activity 44588: sampling based on floor area\n", - "2024-05-14 18:29:24,701 - acbm.assigning - DEBUG - Activity 44594: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,704 - acbm.assigning - DEBUG - Activity 44594: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,705 - acbm.assigning - DEBUG - Activity 44594: sampling based on floor area\n", - "2024-05-14 18:29:24,706 - acbm.assigning - DEBUG - Activity 44597: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,708 - acbm.assigning - DEBUG - Activity 44597: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,709 - acbm.assigning - DEBUG - Activity 44597: sampling based on floor area\n", - "2024-05-14 18:29:24,712 - acbm.assigning - DEBUG - Activity 44599: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,714 - acbm.assigning - DEBUG - Activity 44599: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,715 - acbm.assigning - DEBUG - Activity 44599: sampling based on floor area\n", - "2024-05-14 18:29:24,716 - acbm.assigning - INFO - Activity 44684: No zones available\n", - "2024-05-14 18:29:24,717 - acbm.assigning - INFO - Activity 44686: No zones available\n", - "2024-05-14 18:29:24,718 - acbm.assigning - INFO - Activity 44688: No zones available\n", - "2024-05-14 18:29:24,718 - acbm.assigning - INFO - Activity 44690: No zones available\n", - "2024-05-14 18:29:24,719 - acbm.assigning - DEBUG - Activity 44754: Initial number of options for activity = 97\n", - "2024-05-14 18:29:24,721 - acbm.assigning - DEBUG - Activity 44754: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:24,722 - acbm.assigning - DEBUG - Activity 44754: sampling based on floor area\n", - "2024-05-14 18:29:24,723 - acbm.assigning - DEBUG - Activity 44756: Initial number of options for activity = 97\n", - "2024-05-14 18:29:24,724 - acbm.assigning - DEBUG - Activity 44756: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:24,726 - acbm.assigning - DEBUG - Activity 44756: sampling based on floor area\n", - "2024-05-14 18:29:24,727 - acbm.assigning - DEBUG - Activity 44758: Initial number of options for activity = 97\n", - "2024-05-14 18:29:24,729 - acbm.assigning - DEBUG - Activity 44758: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:24,729 - acbm.assigning - DEBUG - Activity 44758: sampling based on floor area\n", - "2024-05-14 18:29:24,730 - acbm.assigning - DEBUG - Activity 44760: Initial number of options for activity = 97\n", - "2024-05-14 18:29:24,732 - acbm.assigning - DEBUG - Activity 44760: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:24,733 - acbm.assigning - DEBUG - Activity 44760: sampling based on floor area\n", - "2024-05-14 18:29:24,734 - acbm.assigning - DEBUG - Activity 44828: Initial number of options for activity = 1\n", - "2024-05-14 18:29:24,736 - acbm.assigning - DEBUG - Activity 44828: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:24,736 - acbm.assigning - DEBUG - Activity 44828: sampling based on floor area\n", - "2024-05-14 18:29:24,737 - acbm.assigning - DEBUG - Activity 44829: Initial number of options for activity = 48\n", - "2024-05-14 18:29:24,740 - acbm.assigning - DEBUG - Activity 44829: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:24,741 - acbm.assigning - DEBUG - Activity 44829: sampling based on floor area\n", - "2024-05-14 18:29:24,742 - acbm.assigning - INFO - Activity 44920: No zones available\n", - "2024-05-14 18:29:24,742 - acbm.assigning - DEBUG - Activity 45163: Initial number of options for activity = 107\n", - "2024-05-14 18:29:24,744 - acbm.assigning - DEBUG - Activity 45163: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:24,745 - acbm.assigning - DEBUG - Activity 45163: sampling based on floor area\n", - "2024-05-14 18:29:24,747 - acbm.assigning - DEBUG - Activity 45164: Initial number of options for activity = 127\n", - "2024-05-14 18:29:24,749 - acbm.assigning - DEBUG - Activity 45164: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:24,750 - acbm.assigning - DEBUG - Activity 45164: sampling based on floor area\n", - "2024-05-14 18:29:24,751 - acbm.assigning - DEBUG - Activity 45165: Initial number of options for activity = 107\n", - "2024-05-14 18:29:24,753 - acbm.assigning - DEBUG - Activity 45165: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:24,753 - acbm.assigning - DEBUG - Activity 45165: sampling based on floor area\n", - "2024-05-14 18:29:24,755 - acbm.assigning - DEBUG - Activity 45168: Initial number of options for activity = 107\n", - "2024-05-14 18:29:24,757 - acbm.assigning - DEBUG - Activity 45168: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:24,758 - acbm.assigning - DEBUG - Activity 45168: sampling based on floor area\n", - "2024-05-14 18:29:24,760 - acbm.assigning - DEBUG - Activity 45173: Initial number of options for activity = 43\n", - "2024-05-14 18:29:24,763 - acbm.assigning - DEBUG - Activity 45173: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:24,763 - acbm.assigning - DEBUG - Activity 45173: sampling based on floor area\n", - "2024-05-14 18:29:24,765 - acbm.assigning - DEBUG - Activity 45217: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,768 - acbm.assigning - DEBUG - Activity 45217: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,769 - acbm.assigning - DEBUG - Activity 45217: sampling based on floor area\n", - "2024-05-14 18:29:24,770 - acbm.assigning - DEBUG - Activity 45219: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,773 - acbm.assigning - DEBUG - Activity 45219: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,774 - acbm.assigning - DEBUG - Activity 45219: sampling based on floor area\n", - "2024-05-14 18:29:24,776 - acbm.assigning - DEBUG - Activity 45221: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,778 - acbm.assigning - DEBUG - Activity 45221: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,779 - acbm.assigning - DEBUG - Activity 45221: sampling based on floor area\n", - "2024-05-14 18:29:24,780 - acbm.assigning - DEBUG - Activity 45223: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,782 - acbm.assigning - DEBUG - Activity 45223: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,784 - acbm.assigning - DEBUG - Activity 45223: sampling based on floor area\n", - "2024-05-14 18:29:24,785 - acbm.assigning - DEBUG - Activity 45266: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,786 - acbm.assigning - DEBUG - Activity 45266: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,787 - acbm.assigning - DEBUG - Activity 45266: sampling based on floor area\n", - "2024-05-14 18:29:24,789 - acbm.assigning - DEBUG - Activity 45268: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,792 - acbm.assigning - DEBUG - Activity 45268: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,792 - acbm.assigning - DEBUG - Activity 45268: sampling based on floor area\n", - "2024-05-14 18:29:24,794 - acbm.assigning - DEBUG - Activity 45272: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,796 - acbm.assigning - DEBUG - Activity 45272: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,798 - acbm.assigning - DEBUG - Activity 45272: sampling based on floor area\n", - "2024-05-14 18:29:24,800 - acbm.assigning - DEBUG - Activity 45274: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,802 - acbm.assigning - DEBUG - Activity 45274: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,802 - acbm.assigning - DEBUG - Activity 45274: sampling based on floor area\n", - "2024-05-14 18:29:24,803 - acbm.assigning - DEBUG - Activity 45276: Initial number of options for activity = 36\n", - "2024-05-14 18:29:24,806 - acbm.assigning - DEBUG - Activity 45276: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:24,807 - acbm.assigning - DEBUG - Activity 45276: sampling based on floor area\n", - "2024-05-14 18:29:24,808 - acbm.assigning - INFO - Activity 45376: No zones available\n", - "2024-05-14 18:29:24,809 - acbm.assigning - INFO - Activity 45378: No zones available\n", - "2024-05-14 18:29:24,810 - acbm.assigning - INFO - Activity 45380: No zones available\n", - "2024-05-14 18:29:24,811 - acbm.assigning - INFO - Activity 45382: No zones available\n", - "2024-05-14 18:29:24,812 - acbm.assigning - DEBUG - Activity 45514: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,814 - acbm.assigning - DEBUG - Activity 45514: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,815 - acbm.assigning - DEBUG - Activity 45514: sampling based on floor area\n", - "2024-05-14 18:29:24,816 - acbm.assigning - DEBUG - Activity 45518: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,818 - acbm.assigning - DEBUG - Activity 45518: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,819 - acbm.assigning - DEBUG - Activity 45518: sampling based on floor area\n", - "2024-05-14 18:29:24,820 - acbm.assigning - DEBUG - Activity 45519: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,823 - acbm.assigning - DEBUG - Activity 45519: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,824 - acbm.assigning - DEBUG - Activity 45519: sampling based on floor area\n", - "2024-05-14 18:29:24,825 - acbm.assigning - DEBUG - Activity 45520: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,827 - acbm.assigning - DEBUG - Activity 45520: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,827 - acbm.assigning - DEBUG - Activity 45520: sampling based on floor area\n", - "2024-05-14 18:29:24,829 - acbm.assigning - DEBUG - Activity 45522: Initial number of options for activity = 17\n", - "2024-05-14 18:29:24,831 - acbm.assigning - DEBUG - Activity 45522: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:24,832 - acbm.assigning - DEBUG - Activity 45522: sampling based on floor area\n", - "2024-05-14 18:29:24,833 - acbm.assigning - DEBUG - Activity 45580: Initial number of options for activity = 33\n", - "2024-05-14 18:29:24,836 - acbm.assigning - DEBUG - Activity 45580: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:24,837 - acbm.assigning - DEBUG - Activity 45580: sampling based on floor area\n", - "2024-05-14 18:29:24,838 - acbm.assigning - DEBUG - Activity 45581: Initial number of options for activity = 30\n", - "2024-05-14 18:29:24,840 - acbm.assigning - DEBUG - Activity 45581: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:24,841 - acbm.assigning - DEBUG - Activity 45581: sampling based on floor area\n", - "2024-05-14 18:29:24,843 - acbm.assigning - DEBUG - Activity 45582: Initial number of options for activity = 31\n", - "2024-05-14 18:29:24,845 - acbm.assigning - DEBUG - Activity 45582: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:24,846 - acbm.assigning - DEBUG - Activity 45582: sampling based on floor area\n", - "2024-05-14 18:29:24,847 - acbm.assigning - DEBUG - Activity 45593: Initial number of options for activity = 30\n", - "2024-05-14 18:29:24,851 - acbm.assigning - DEBUG - Activity 45593: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:24,852 - acbm.assigning - DEBUG - Activity 45593: sampling based on floor area\n", - "2024-05-14 18:29:24,853 - acbm.assigning - DEBUG - Activity 45594: Initial number of options for activity = 40\n", - "2024-05-14 18:29:24,856 - acbm.assigning - DEBUG - Activity 45594: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:24,857 - acbm.assigning - DEBUG - Activity 45594: sampling based on floor area\n", - "2024-05-14 18:29:24,858 - acbm.assigning - DEBUG - Activity 45684: Initial number of options for activity = 45\n", - "2024-05-14 18:29:24,861 - acbm.assigning - DEBUG - Activity 45684: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:24,862 - acbm.assigning - DEBUG - Activity 45684: sampling based on floor area\n", - "2024-05-14 18:29:24,864 - acbm.assigning - DEBUG - Activity 45688: Initial number of options for activity = 12\n", - "2024-05-14 18:29:24,867 - acbm.assigning - DEBUG - Activity 45688: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:24,869 - acbm.assigning - DEBUG - Activity 45688: sampling based on floor area\n", - "2024-05-14 18:29:24,871 - acbm.assigning - DEBUG - Activity 45689: Initial number of options for activity = 63\n", - "2024-05-14 18:29:24,874 - acbm.assigning - DEBUG - Activity 45689: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:24,875 - acbm.assigning - DEBUG - Activity 45689: sampling based on floor area\n", - "2024-05-14 18:29:24,877 - acbm.assigning - DEBUG - Activity 45690: Initial number of options for activity = 3\n", - "2024-05-14 18:29:24,880 - acbm.assigning - DEBUG - Activity 45690: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:24,881 - acbm.assigning - DEBUG - Activity 45690: sampling based on floor area\n", - "2024-05-14 18:29:24,882 - acbm.assigning - DEBUG - Activity 45869: Initial number of options for activity = 11\n", - "2024-05-14 18:29:24,885 - acbm.assigning - DEBUG - Activity 45869: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:24,886 - acbm.assigning - DEBUG - Activity 45869: sampling based on floor area\n", - "2024-05-14 18:29:24,887 - acbm.assigning - DEBUG - Activity 45870: Initial number of options for activity = 109\n", - "2024-05-14 18:29:24,890 - acbm.assigning - DEBUG - Activity 45870: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:24,891 - acbm.assigning - DEBUG - Activity 45870: sampling based on floor area\n", - "2024-05-14 18:29:24,892 - acbm.assigning - DEBUG - Activity 45874: Initial number of options for activity = 25\n", - "2024-05-14 18:29:24,896 - acbm.assigning - DEBUG - Activity 45874: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:24,897 - acbm.assigning - DEBUG - Activity 45874: sampling based on floor area\n", - "2024-05-14 18:29:24,899 - acbm.assigning - DEBUG - Activity 45875: Initial number of options for activity = 25\n", - "2024-05-14 18:29:24,901 - acbm.assigning - DEBUG - Activity 45875: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:24,902 - acbm.assigning - DEBUG - Activity 45875: sampling based on floor area\n", - "2024-05-14 18:29:24,904 - acbm.assigning - DEBUG - Activity 45877: Initial number of options for activity = 109\n", - "2024-05-14 18:29:24,907 - acbm.assigning - DEBUG - Activity 45877: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:24,908 - acbm.assigning - DEBUG - Activity 45877: sampling based on floor area\n", - "2024-05-14 18:29:24,909 - acbm.assigning - DEBUG - Activity 46055: Initial number of options for activity = 9\n", - "2024-05-14 18:29:24,913 - acbm.assigning - DEBUG - Activity 46055: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:24,914 - acbm.assigning - DEBUG - Activity 46055: sampling based on floor area\n", - "2024-05-14 18:29:24,915 - acbm.assigning - DEBUG - Activity 46056: Initial number of options for activity = 100\n", - "2024-05-14 18:29:24,917 - acbm.assigning - DEBUG - Activity 46056: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:24,918 - acbm.assigning - DEBUG - Activity 46056: sampling based on floor area\n", - "2024-05-14 18:29:24,919 - acbm.assigning - DEBUG - Activity 46060: Initial number of options for activity = 30\n", - "2024-05-14 18:29:24,921 - acbm.assigning - DEBUG - Activity 46060: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:24,922 - acbm.assigning - DEBUG - Activity 46060: sampling based on floor area\n", - "2024-05-14 18:29:24,924 - acbm.assigning - DEBUG - Activity 46061: Initial number of options for activity = 30\n", - "2024-05-14 18:29:24,926 - acbm.assigning - DEBUG - Activity 46061: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:24,927 - acbm.assigning - DEBUG - Activity 46061: sampling based on floor area\n", - "2024-05-14 18:29:24,928 - acbm.assigning - DEBUG - Activity 46063: Initial number of options for activity = 100\n", - "2024-05-14 18:29:24,931 - acbm.assigning - DEBUG - Activity 46063: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:24,933 - acbm.assigning - DEBUG - Activity 46063: sampling based on floor area\n", - "2024-05-14 18:29:24,935 - acbm.assigning - DEBUG - Activity 46225: Initial number of options for activity = 76\n", - "2024-05-14 18:29:24,938 - acbm.assigning - DEBUG - Activity 46225: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:24,938 - acbm.assigning - DEBUG - Activity 46225: sampling based on floor area\n", - "2024-05-14 18:29:24,940 - acbm.assigning - DEBUG - Activity 46229: Initial number of options for activity = 27\n", - "2024-05-14 18:29:24,942 - acbm.assigning - DEBUG - Activity 46229: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:24,943 - acbm.assigning - DEBUG - Activity 46229: sampling based on floor area\n", - "2024-05-14 18:29:24,945 - acbm.assigning - DEBUG - Activity 46233: Initial number of options for activity = 27\n", - "2024-05-14 18:29:24,947 - acbm.assigning - DEBUG - Activity 46233: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:24,949 - acbm.assigning - DEBUG - Activity 46233: sampling based on floor area\n", - "2024-05-14 18:29:24,950 - acbm.assigning - DEBUG - Activity 46236: Initial number of options for activity = 27\n", - "2024-05-14 18:29:24,952 - acbm.assigning - DEBUG - Activity 46236: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:24,953 - acbm.assigning - DEBUG - Activity 46236: sampling based on floor area\n", - "2024-05-14 18:29:24,955 - acbm.assigning - DEBUG - Activity 46240: Initial number of options for activity = 27\n", - "2024-05-14 18:29:24,957 - acbm.assigning - DEBUG - Activity 46240: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:24,958 - acbm.assigning - DEBUG - Activity 46240: sampling based on floor area\n", - "2024-05-14 18:29:24,960 - acbm.assigning - DEBUG - Activity 46345: Initial number of options for activity = 6\n", - "2024-05-14 18:29:24,965 - acbm.assigning - DEBUG - Activity 46345: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:24,966 - acbm.assigning - DEBUG - Activity 46345: sampling based on floor area\n", - "2024-05-14 18:29:24,969 - acbm.assigning - DEBUG - Activity 46346: Initial number of options for activity = 98\n", - "2024-05-14 18:29:24,973 - acbm.assigning - DEBUG - Activity 46346: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:24,974 - acbm.assigning - DEBUG - Activity 46346: sampling based on floor area\n", - "2024-05-14 18:29:24,976 - acbm.assigning - DEBUG - Activity 46350: Initial number of options for activity = 23\n", - "2024-05-14 18:29:24,979 - acbm.assigning - DEBUG - Activity 46350: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:24,981 - acbm.assigning - DEBUG - Activity 46350: sampling based on floor area\n", - "2024-05-14 18:29:24,983 - acbm.assigning - DEBUG - Activity 46351: Initial number of options for activity = 23\n", - "2024-05-14 18:29:24,986 - acbm.assigning - DEBUG - Activity 46351: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:24,987 - acbm.assigning - DEBUG - Activity 46351: sampling based on floor area\n", - "2024-05-14 18:29:24,990 - acbm.assigning - DEBUG - Activity 46353: Initial number of options for activity = 98\n", - "2024-05-14 18:29:24,994 - acbm.assigning - DEBUG - Activity 46353: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:24,995 - acbm.assigning - DEBUG - Activity 46353: sampling based on floor area\n", - "2024-05-14 18:29:24,997 - acbm.assigning - DEBUG - Activity 46725: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,000 - acbm.assigning - DEBUG - Activity 46725: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,001 - acbm.assigning - DEBUG - Activity 46725: sampling based on floor area\n", - "2024-05-14 18:29:25,003 - acbm.assigning - DEBUG - Activity 46726: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,008 - acbm.assigning - DEBUG - Activity 46726: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,010 - acbm.assigning - DEBUG - Activity 46726: sampling based on floor area\n", - "2024-05-14 18:29:25,012 - acbm.assigning - DEBUG - Activity 46727: Initial number of options for activity = 89\n", - "2024-05-14 18:29:25,016 - acbm.assigning - DEBUG - Activity 46727: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:25,017 - acbm.assigning - DEBUG - Activity 46727: sampling based on floor area\n", - "2024-05-14 18:29:25,020 - acbm.assigning - DEBUG - Activity 46734: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,025 - acbm.assigning - DEBUG - Activity 46734: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,026 - acbm.assigning - DEBUG - Activity 46734: sampling based on floor area\n", - "2024-05-14 18:29:25,028 - acbm.assigning - DEBUG - Activity 46739: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,032 - acbm.assigning - DEBUG - Activity 46739: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,033 - acbm.assigning - DEBUG - Activity 46739: sampling based on floor area\n", - "2024-05-14 18:29:25,035 - acbm.assigning - DEBUG - Activity 46927: Initial number of options for activity = 29\n", - "2024-05-14 18:29:25,038 - acbm.assigning - DEBUG - Activity 46927: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:25,039 - acbm.assigning - DEBUG - Activity 46927: sampling based on floor area\n", - "2024-05-14 18:29:25,043 - acbm.assigning - DEBUG - Activity 46929: Initial number of options for activity = 29\n", - "2024-05-14 18:29:25,046 - acbm.assigning - DEBUG - Activity 46929: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:25,047 - acbm.assigning - DEBUG - Activity 46929: sampling based on floor area\n", - "2024-05-14 18:29:25,049 - acbm.assigning - DEBUG - Activity 46931: Initial number of options for activity = 29\n", - "2024-05-14 18:29:25,052 - acbm.assigning - DEBUG - Activity 46931: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:25,053 - acbm.assigning - DEBUG - Activity 46931: sampling based on floor area\n", - "2024-05-14 18:29:25,056 - acbm.assigning - DEBUG - Activity 46933: Initial number of options for activity = 29\n", - "2024-05-14 18:29:25,059 - acbm.assigning - DEBUG - Activity 46933: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:25,060 - acbm.assigning - DEBUG - Activity 46933: sampling based on floor area\n", - "2024-05-14 18:29:25,062 - acbm.assigning - DEBUG - Activity 47177: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,066 - acbm.assigning - DEBUG - Activity 47177: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,068 - acbm.assigning - DEBUG - Activity 47177: sampling based on floor area\n", - "2024-05-14 18:29:25,071 - acbm.assigning - DEBUG - Activity 47182: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,074 - acbm.assigning - DEBUG - Activity 47182: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,075 - acbm.assigning - DEBUG - Activity 47182: sampling based on floor area\n", - "2024-05-14 18:29:25,077 - acbm.assigning - DEBUG - Activity 47185: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,080 - acbm.assigning - DEBUG - Activity 47185: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,081 - acbm.assigning - DEBUG - Activity 47185: sampling based on floor area\n", - "2024-05-14 18:29:25,083 - acbm.assigning - DEBUG - Activity 47188: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,086 - acbm.assigning - DEBUG - Activity 47188: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,087 - acbm.assigning - DEBUG - Activity 47188: sampling based on floor area\n", - "2024-05-14 18:29:25,089 - acbm.assigning - DEBUG - Activity 47354: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,091 - acbm.assigning - DEBUG - Activity 47354: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,092 - acbm.assigning - DEBUG - Activity 47354: sampling based on floor area\n", - "2024-05-14 18:29:25,094 - acbm.assigning - DEBUG - Activity 47355: Initial number of options for activity = 80\n", - "2024-05-14 18:29:25,096 - acbm.assigning - DEBUG - Activity 47355: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:25,097 - acbm.assigning - DEBUG - Activity 47355: sampling based on floor area\n", - "2024-05-14 18:29:25,098 - acbm.assigning - DEBUG - Activity 47359: Initial number of options for activity = 22\n", - "2024-05-14 18:29:25,101 - acbm.assigning - DEBUG - Activity 47359: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:25,102 - acbm.assigning - DEBUG - Activity 47359: sampling based on floor area\n", - "2024-05-14 18:29:25,104 - acbm.assigning - DEBUG - Activity 47360: Initial number of options for activity = 22\n", - "2024-05-14 18:29:25,107 - acbm.assigning - DEBUG - Activity 47360: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:25,108 - acbm.assigning - DEBUG - Activity 47360: sampling based on floor area\n", - "2024-05-14 18:29:25,109 - acbm.assigning - DEBUG - Activity 47362: Initial number of options for activity = 80\n", - "2024-05-14 18:29:25,111 - acbm.assigning - DEBUG - Activity 47362: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:25,112 - acbm.assigning - DEBUG - Activity 47362: sampling based on floor area\n", - "2024-05-14 18:29:25,114 - acbm.assigning - DEBUG - Activity 47419: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,115 - acbm.assigning - DEBUG - Activity 47419: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,116 - acbm.assigning - DEBUG - Activity 47419: sampling based on floor area\n", - "2024-05-14 18:29:25,117 - acbm.assigning - INFO - Activity 47471: No zones available\n", - "2024-05-14 18:29:25,118 - acbm.assigning - INFO - Activity 47482: No zones available\n", - "2024-05-14 18:29:25,119 - acbm.assigning - INFO - Activity 47486: No zones available\n", - "2024-05-14 18:29:25,119 - acbm.assigning - INFO - Activity 47492: No zones available\n", - "2024-05-14 18:29:25,120 - acbm.assigning - INFO - Activity 47496: No zones available\n", - "2024-05-14 18:29:25,121 - acbm.assigning - INFO - Activity 47504: No zones available\n", - "2024-05-14 18:29:25,121 - acbm.assigning - INFO - Activity 47513: No zones available\n", - "2024-05-14 18:29:25,122 - acbm.assigning - INFO - Activity 47517: No zones available\n", - "2024-05-14 18:29:25,122 - acbm.assigning - INFO - Activity 47518: No zones available\n", - "2024-05-14 18:29:25,123 - acbm.assigning - INFO - Activity 47521: No zones available\n", - "2024-05-14 18:29:25,124 - acbm.assigning - DEBUG - Activity 47808: Initial number of options for activity = 16\n", - "2024-05-14 18:29:25,126 - acbm.assigning - DEBUG - Activity 47808: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:25,127 - acbm.assigning - DEBUG - Activity 47808: sampling based on floor area\n", - "2024-05-14 18:29:25,129 - acbm.assigning - DEBUG - Activity 47810: Initial number of options for activity = 16\n", - "2024-05-14 18:29:25,131 - acbm.assigning - DEBUG - Activity 47810: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:25,133 - acbm.assigning - DEBUG - Activity 47810: sampling based on floor area\n", - "2024-05-14 18:29:25,135 - acbm.assigning - DEBUG - Activity 47814: Initial number of options for activity = 16\n", - "2024-05-14 18:29:25,146 - acbm.assigning - DEBUG - Activity 47814: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:25,148 - acbm.assigning - DEBUG - Activity 47814: sampling based on floor area\n", - "2024-05-14 18:29:25,150 - acbm.assigning - DEBUG - Activity 47816: Initial number of options for activity = 16\n", - "2024-05-14 18:29:25,154 - acbm.assigning - DEBUG - Activity 47816: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:25,156 - acbm.assigning - DEBUG - Activity 47816: sampling based on floor area\n", - "2024-05-14 18:29:25,157 - acbm.assigning - INFO - Activity 47838: No zones available\n", - "2024-05-14 18:29:25,158 - acbm.assigning - DEBUG - Activity 47841: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,161 - acbm.assigning - DEBUG - Activity 47841: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,162 - acbm.assigning - DEBUG - Activity 47841: sampling based on floor area\n", - "2024-05-14 18:29:25,164 - acbm.assigning - DEBUG - Activity 47922: Initial number of options for activity = 22\n", - "2024-05-14 18:29:25,167 - acbm.assigning - DEBUG - Activity 47922: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:25,168 - acbm.assigning - DEBUG - Activity 47922: sampling based on floor area\n", - "2024-05-14 18:29:25,169 - acbm.assigning - DEBUG - Activity 47923: Initial number of options for activity = 59\n", - "2024-05-14 18:29:25,172 - acbm.assigning - DEBUG - Activity 47923: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:25,173 - acbm.assigning - DEBUG - Activity 47923: sampling based on floor area\n", - "2024-05-14 18:29:25,175 - acbm.assigning - DEBUG - Activity 47925: Initial number of options for activity = 22\n", - "2024-05-14 18:29:25,179 - acbm.assigning - DEBUG - Activity 47925: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:25,180 - acbm.assigning - DEBUG - Activity 47925: sampling based on floor area\n", - "2024-05-14 18:29:25,181 - acbm.assigning - DEBUG - Activity 47928: Initial number of options for activity = 22\n", - "2024-05-14 18:29:25,184 - acbm.assigning - DEBUG - Activity 47928: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:25,185 - acbm.assigning - DEBUG - Activity 47928: sampling based on floor area\n", - "2024-05-14 18:29:25,186 - acbm.assigning - DEBUG - Activity 47932: Initial number of options for activity = 22\n", - "2024-05-14 18:29:25,188 - acbm.assigning - DEBUG - Activity 47932: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:25,189 - acbm.assigning - DEBUG - Activity 47932: sampling based on floor area\n", - "2024-05-14 18:29:25,191 - acbm.assigning - DEBUG - Activity 47935: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,194 - acbm.assigning - DEBUG - Activity 47935: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,195 - acbm.assigning - DEBUG - Activity 47935: sampling based on floor area\n", - "2024-05-14 18:29:25,196 - acbm.assigning - DEBUG - Activity 47937: Initial number of options for activity = 24\n", - "2024-05-14 18:29:25,199 - acbm.assigning - DEBUG - Activity 47937: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:25,200 - acbm.assigning - DEBUG - Activity 47937: sampling based on floor area\n", - "2024-05-14 18:29:25,201 - acbm.assigning - DEBUG - Activity 47939: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,203 - acbm.assigning - DEBUG - Activity 47939: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,204 - acbm.assigning - DEBUG - Activity 47939: sampling based on floor area\n", - "2024-05-14 18:29:25,205 - acbm.assigning - DEBUG - Activity 47941: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,208 - acbm.assigning - DEBUG - Activity 47941: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,209 - acbm.assigning - DEBUG - Activity 47941: sampling based on floor area\n", - "2024-05-14 18:29:25,210 - acbm.assigning - DEBUG - Activity 47942: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,213 - acbm.assigning - DEBUG - Activity 47942: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,214 - acbm.assigning - DEBUG - Activity 47942: sampling based on floor area\n", - "2024-05-14 18:29:25,225 - acbm.assigning - DEBUG - Activity 48202: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,228 - acbm.assigning - DEBUG - Activity 48202: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,229 - acbm.assigning - DEBUG - Activity 48202: sampling based on floor area\n", - "2024-05-14 18:29:25,231 - acbm.assigning - DEBUG - Activity 48299: Initial number of options for activity = 101\n", - "2024-05-14 18:29:25,234 - acbm.assigning - DEBUG - Activity 48299: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:25,235 - acbm.assigning - DEBUG - Activity 48299: sampling based on floor area\n", - "2024-05-14 18:29:25,237 - acbm.assigning - DEBUG - Activity 48301: Initial number of options for activity = 101\n", - "2024-05-14 18:29:25,240 - acbm.assigning - DEBUG - Activity 48301: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:25,241 - acbm.assigning - DEBUG - Activity 48301: sampling based on floor area\n", - "2024-05-14 18:29:25,243 - acbm.assigning - DEBUG - Activity 48305: Initial number of options for activity = 101\n", - "2024-05-14 18:29:25,246 - acbm.assigning - DEBUG - Activity 48305: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:25,246 - acbm.assigning - DEBUG - Activity 48305: sampling based on floor area\n", - "2024-05-14 18:29:25,248 - acbm.assigning - DEBUG - Activity 48307: Initial number of options for activity = 101\n", - "2024-05-14 18:29:25,250 - acbm.assigning - DEBUG - Activity 48307: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:25,251 - acbm.assigning - DEBUG - Activity 48307: sampling based on floor area\n", - "2024-05-14 18:29:25,252 - acbm.assigning - DEBUG - Activity 48309: Initial number of options for activity = 101\n", - "2024-05-14 18:29:25,254 - acbm.assigning - DEBUG - Activity 48309: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:25,255 - acbm.assigning - DEBUG - Activity 48309: sampling based on floor area\n", - "2024-05-14 18:29:25,256 - acbm.assigning - DEBUG - Activity 48495: Initial number of options for activity = 50\n", - "2024-05-14 18:29:25,257 - acbm.assigning - DEBUG - Activity 48495: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:25,258 - acbm.assigning - DEBUG - Activity 48495: sampling based on floor area\n", - "2024-05-14 18:29:25,260 - acbm.assigning - DEBUG - Activity 48499: Initial number of options for activity = 50\n", - "2024-05-14 18:29:25,263 - acbm.assigning - DEBUG - Activity 48499: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:25,264 - acbm.assigning - DEBUG - Activity 48499: sampling based on floor area\n", - "2024-05-14 18:29:25,266 - acbm.assigning - DEBUG - Activity 48501: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,267 - acbm.assigning - DEBUG - Activity 48501: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,268 - acbm.assigning - DEBUG - Activity 48501: sampling based on floor area\n", - "2024-05-14 18:29:25,270 - acbm.assigning - DEBUG - Activity 48506: Initial number of options for activity = 50\n", - "2024-05-14 18:29:25,272 - acbm.assigning - DEBUG - Activity 48506: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:25,273 - acbm.assigning - DEBUG - Activity 48506: sampling based on floor area\n", - "2024-05-14 18:29:25,274 - acbm.assigning - DEBUG - Activity 48507: Initial number of options for activity = 50\n", - "2024-05-14 18:29:25,276 - acbm.assigning - DEBUG - Activity 48507: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:25,277 - acbm.assigning - DEBUG - Activity 48507: sampling based on floor area\n", - "2024-05-14 18:29:25,278 - acbm.assigning - DEBUG - Activity 48546: Initial number of options for activity = 171\n", - "2024-05-14 18:29:25,280 - acbm.assigning - DEBUG - Activity 48546: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:25,284 - acbm.assigning - DEBUG - Activity 48546: sampling based on floor area\n", - "2024-05-14 18:29:25,292 - acbm.assigning - DEBUG - Activity 48549: Initial number of options for activity = 171\n", - "2024-05-14 18:29:25,296 - acbm.assigning - DEBUG - Activity 48549: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:25,297 - acbm.assigning - DEBUG - Activity 48549: sampling based on floor area\n", - "2024-05-14 18:29:25,299 - acbm.assigning - DEBUG - Activity 48550: Initial number of options for activity = 171\n", - "2024-05-14 18:29:25,302 - acbm.assigning - DEBUG - Activity 48550: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:25,303 - acbm.assigning - DEBUG - Activity 48550: sampling based on floor area\n", - "2024-05-14 18:29:25,304 - acbm.assigning - DEBUG - Activity 48551: Initial number of options for activity = 171\n", - "2024-05-14 18:29:25,308 - acbm.assigning - DEBUG - Activity 48551: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:25,308 - acbm.assigning - DEBUG - Activity 48551: sampling based on floor area\n", - "2024-05-14 18:29:25,311 - acbm.assigning - DEBUG - Activity 48554: Initial number of options for activity = 171\n", - "2024-05-14 18:29:25,315 - acbm.assigning - DEBUG - Activity 48554: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:25,316 - acbm.assigning - DEBUG - Activity 48554: sampling based on floor area\n", - "2024-05-14 18:29:25,317 - acbm.assigning - DEBUG - Activity 48618: Initial number of options for activity = 122\n", - "2024-05-14 18:29:25,320 - acbm.assigning - DEBUG - Activity 48618: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:25,321 - acbm.assigning - DEBUG - Activity 48618: sampling based on floor area\n", - "2024-05-14 18:29:25,322 - acbm.assigning - DEBUG - Activity 48620: Initial number of options for activity = 140\n", - "2024-05-14 18:29:25,325 - acbm.assigning - DEBUG - Activity 48620: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:25,326 - acbm.assigning - DEBUG - Activity 48620: sampling based on floor area\n", - "2024-05-14 18:29:25,327 - acbm.assigning - DEBUG - Activity 48636: Initial number of options for activity = 122\n", - "2024-05-14 18:29:25,330 - acbm.assigning - DEBUG - Activity 48636: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:25,331 - acbm.assigning - DEBUG - Activity 48636: sampling based on floor area\n", - "2024-05-14 18:29:25,333 - acbm.assigning - DEBUG - Activity 48638: Initial number of options for activity = 140\n", - "2024-05-14 18:29:25,335 - acbm.assigning - DEBUG - Activity 48638: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:25,336 - acbm.assigning - DEBUG - Activity 48638: sampling based on floor area\n", - "2024-05-14 18:29:25,338 - acbm.assigning - DEBUG - Activity 48970: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,340 - acbm.assigning - DEBUG - Activity 48970: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,340 - acbm.assigning - DEBUG - Activity 48970: sampling based on floor area\n", - "2024-05-14 18:29:25,342 - acbm.assigning - INFO - Activity 49227: No zones available\n", - "2024-05-14 18:29:25,342 - acbm.assigning - DEBUG - Activity 49281: Initial number of options for activity = 35\n", - "2024-05-14 18:29:25,345 - acbm.assigning - DEBUG - Activity 49281: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:25,346 - acbm.assigning - DEBUG - Activity 49281: sampling based on floor area\n", - "2024-05-14 18:29:25,348 - acbm.assigning - DEBUG - Activity 49283: Initial number of options for activity = 35\n", - "2024-05-14 18:29:25,350 - acbm.assigning - DEBUG - Activity 49283: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:25,351 - acbm.assigning - DEBUG - Activity 49283: sampling based on floor area\n", - "2024-05-14 18:29:25,352 - acbm.assigning - DEBUG - Activity 49285: Initial number of options for activity = 35\n", - "2024-05-14 18:29:25,355 - acbm.assigning - DEBUG - Activity 49285: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:25,356 - acbm.assigning - DEBUG - Activity 49285: sampling based on floor area\n", - "2024-05-14 18:29:25,357 - acbm.assigning - DEBUG - Activity 49287: Initial number of options for activity = 35\n", - "2024-05-14 18:29:25,360 - acbm.assigning - DEBUG - Activity 49287: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:25,361 - acbm.assigning - DEBUG - Activity 49287: sampling based on floor area\n", - "2024-05-14 18:29:25,362 - acbm.assigning - DEBUG - Activity 49463: Initial number of options for activity = 111\n", - "2024-05-14 18:29:25,364 - acbm.assigning - DEBUG - Activity 49463: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:25,365 - acbm.assigning - DEBUG - Activity 49463: sampling based on floor area\n", - "2024-05-14 18:29:25,366 - acbm.assigning - DEBUG - Activity 49465: Initial number of options for activity = 111\n", - "2024-05-14 18:29:25,368 - acbm.assigning - DEBUG - Activity 49465: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:25,370 - acbm.assigning - DEBUG - Activity 49465: sampling based on floor area\n", - "2024-05-14 18:29:25,371 - acbm.assigning - DEBUG - Activity 49467: Initial number of options for activity = 111\n", - "2024-05-14 18:29:25,374 - acbm.assigning - DEBUG - Activity 49467: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:25,375 - acbm.assigning - DEBUG - Activity 49467: sampling based on floor area\n", - "2024-05-14 18:29:25,376 - acbm.assigning - DEBUG - Activity 49469: Initial number of options for activity = 111\n", - "2024-05-14 18:29:25,378 - acbm.assigning - DEBUG - Activity 49469: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:25,380 - acbm.assigning - DEBUG - Activity 49469: sampling based on floor area\n", - "2024-05-14 18:29:25,381 - acbm.assigning - DEBUG - Activity 49575: Initial number of options for activity = 40\n", - "2024-05-14 18:29:25,384 - acbm.assigning - DEBUG - Activity 49575: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:25,385 - acbm.assigning - DEBUG - Activity 49575: sampling based on floor area\n", - "2024-05-14 18:29:25,387 - acbm.assigning - DEBUG - Activity 49577: Initial number of options for activity = 40\n", - "2024-05-14 18:29:25,389 - acbm.assigning - DEBUG - Activity 49577: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:25,389 - acbm.assigning - DEBUG - Activity 49577: sampling based on floor area\n", - "2024-05-14 18:29:25,390 - acbm.assigning - DEBUG - Activity 49579: Initial number of options for activity = 40\n", - "2024-05-14 18:29:25,393 - acbm.assigning - DEBUG - Activity 49579: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:25,394 - acbm.assigning - DEBUG - Activity 49579: sampling based on floor area\n", - "2024-05-14 18:29:25,396 - acbm.assigning - DEBUG - Activity 49581: Initial number of options for activity = 40\n", - "2024-05-14 18:29:25,399 - acbm.assigning - DEBUG - Activity 49581: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:25,400 - acbm.assigning - DEBUG - Activity 49581: sampling based on floor area\n", - "2024-05-14 18:29:25,402 - acbm.assigning - INFO - Activity 49968: No zones available\n", - "2024-05-14 18:29:25,403 - acbm.assigning - INFO - Activity 49970: No zones available\n", - "2024-05-14 18:29:25,403 - acbm.assigning - INFO - Activity 49972: No zones available\n", - "2024-05-14 18:29:25,404 - acbm.assigning - INFO - Activity 49974: No zones available\n", - "2024-05-14 18:29:25,405 - acbm.assigning - INFO - Activity 49976: No zones available\n", - "2024-05-14 18:29:25,405 - acbm.assigning - DEBUG - Activity 50045: Initial number of options for activity = 138\n", - "2024-05-14 18:29:25,408 - acbm.assigning - DEBUG - Activity 50045: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:25,409 - acbm.assigning - DEBUG - Activity 50045: sampling based on floor area\n", - "2024-05-14 18:29:25,411 - acbm.assigning - DEBUG - Activity 50048: Initial number of options for activity = 138\n", - "2024-05-14 18:29:25,414 - acbm.assigning - DEBUG - Activity 50048: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:25,416 - acbm.assigning - DEBUG - Activity 50048: sampling based on floor area\n", - "2024-05-14 18:29:25,417 - acbm.assigning - DEBUG - Activity 50303: Initial number of options for activity = 125\n", - "2024-05-14 18:29:25,422 - acbm.assigning - DEBUG - Activity 50303: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:25,423 - acbm.assigning - DEBUG - Activity 50303: sampling based on floor area\n", - "2024-05-14 18:29:25,425 - acbm.assigning - DEBUG - Activity 50305: Initial number of options for activity = 125\n", - "2024-05-14 18:29:25,427 - acbm.assigning - DEBUG - Activity 50305: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:25,429 - acbm.assigning - DEBUG - Activity 50305: sampling based on floor area\n", - "2024-05-14 18:29:25,430 - acbm.assigning - DEBUG - Activity 50307: Initial number of options for activity = 125\n", - "2024-05-14 18:29:25,433 - acbm.assigning - DEBUG - Activity 50307: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:25,434 - acbm.assigning - DEBUG - Activity 50307: sampling based on floor area\n", - "2024-05-14 18:29:25,436 - acbm.assigning - DEBUG - Activity 50309: Initial number of options for activity = 125\n", - "2024-05-14 18:29:25,439 - acbm.assigning - DEBUG - Activity 50309: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:25,440 - acbm.assigning - DEBUG - Activity 50309: sampling based on floor area\n", - "2024-05-14 18:29:25,442 - acbm.assigning - DEBUG - Activity 50346: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,445 - acbm.assigning - DEBUG - Activity 50346: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,446 - acbm.assigning - DEBUG - Activity 50346: sampling based on floor area\n", - "2024-05-14 18:29:25,448 - acbm.assigning - DEBUG - Activity 50348: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,451 - acbm.assigning - DEBUG - Activity 50348: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,452 - acbm.assigning - DEBUG - Activity 50348: sampling based on floor area\n", - "2024-05-14 18:29:25,454 - acbm.assigning - DEBUG - Activity 50352: Initial number of options for activity = 5\n", - "2024-05-14 18:29:25,456 - acbm.assigning - DEBUG - Activity 50352: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:25,457 - acbm.assigning - DEBUG - Activity 50352: sampling based on floor area\n", - "2024-05-14 18:29:25,458 - acbm.assigning - DEBUG - Activity 50459: Initial number of options for activity = 127\n", - "2024-05-14 18:29:25,461 - acbm.assigning - DEBUG - Activity 50459: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:25,462 - acbm.assigning - DEBUG - Activity 50459: sampling based on floor area\n", - "2024-05-14 18:29:25,463 - acbm.assigning - DEBUG - Activity 50460: Initial number of options for activity = 170\n", - "2024-05-14 18:29:25,466 - acbm.assigning - DEBUG - Activity 50460: Number of options after filtering by education type: 170\n", - "2024-05-14 18:29:25,467 - acbm.assigning - DEBUG - Activity 50460: sampling based on floor area\n", - "2024-05-14 18:29:25,468 - acbm.assigning - DEBUG - Activity 50467: Initial number of options for activity = 170\n", - "2024-05-14 18:29:25,470 - acbm.assigning - DEBUG - Activity 50467: Number of options after filtering by education type: 170\n", - "2024-05-14 18:29:25,471 - acbm.assigning - DEBUG - Activity 50467: sampling based on floor area\n", - "2024-05-14 18:29:25,472 - acbm.assigning - DEBUG - Activity 50469: Initial number of options for activity = 127\n", - "2024-05-14 18:29:25,474 - acbm.assigning - DEBUG - Activity 50469: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:25,475 - acbm.assigning - DEBUG - Activity 50469: sampling based on floor area\n", - "2024-05-14 18:29:25,476 - acbm.assigning - DEBUG - Activity 50470: Initial number of options for activity = 127\n", - "2024-05-14 18:29:25,479 - acbm.assigning - DEBUG - Activity 50470: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:25,480 - acbm.assigning - DEBUG - Activity 50470: sampling based on floor area\n", - "2024-05-14 18:29:25,481 - acbm.assigning - INFO - Activity 50628: No zones available\n", - "2024-05-14 18:29:25,481 - acbm.assigning - INFO - Activity 50630: No zones available\n", - "2024-05-14 18:29:25,482 - acbm.assigning - INFO - Activity 50632: No zones available\n", - "2024-05-14 18:29:25,482 - acbm.assigning - INFO - Activity 50634: No zones available\n", - "2024-05-14 18:29:25,483 - acbm.assigning - DEBUG - Activity 50842: Initial number of options for activity = 109\n", - "2024-05-14 18:29:25,484 - acbm.assigning - DEBUG - Activity 50842: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:25,485 - acbm.assigning - DEBUG - Activity 50842: sampling based on floor area\n", - "2024-05-14 18:29:25,486 - acbm.assigning - DEBUG - Activity 50844: Initial number of options for activity = 109\n", - "2024-05-14 18:29:25,487 - acbm.assigning - DEBUG - Activity 50844: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:25,488 - acbm.assigning - DEBUG - Activity 50844: sampling based on floor area\n", - "2024-05-14 18:29:25,489 - acbm.assigning - DEBUG - Activity 50846: Initial number of options for activity = 109\n", - "2024-05-14 18:29:25,491 - acbm.assigning - DEBUG - Activity 50846: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:25,491 - acbm.assigning - DEBUG - Activity 50846: sampling based on floor area\n", - "2024-05-14 18:29:25,492 - acbm.assigning - DEBUG - Activity 50848: Initial number of options for activity = 109\n", - "2024-05-14 18:29:25,494 - acbm.assigning - DEBUG - Activity 50848: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:25,494 - acbm.assigning - DEBUG - Activity 50848: sampling based on floor area\n", - "2024-05-14 18:29:25,496 - acbm.assigning - DEBUG - Activity 50879: Initial number of options for activity = 47\n", - "2024-05-14 18:29:25,497 - acbm.assigning - DEBUG - Activity 50879: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:25,498 - acbm.assigning - DEBUG - Activity 50879: sampling based on floor area\n", - "2024-05-14 18:29:25,500 - acbm.assigning - DEBUG - Activity 50881: Initial number of options for activity = 3\n", - "2024-05-14 18:29:25,503 - acbm.assigning - DEBUG - Activity 50881: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:25,504 - acbm.assigning - DEBUG - Activity 50881: sampling based on floor area\n", - "2024-05-14 18:29:25,506 - acbm.assigning - DEBUG - Activity 50993: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,509 - acbm.assigning - DEBUG - Activity 50993: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,511 - acbm.assigning - DEBUG - Activity 50993: sampling based on floor area\n", - "2024-05-14 18:29:25,512 - acbm.assigning - DEBUG - Activity 50996: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,514 - acbm.assigning - DEBUG - Activity 50996: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,515 - acbm.assigning - DEBUG - Activity 50996: sampling based on floor area\n", - "2024-05-14 18:29:25,516 - acbm.assigning - DEBUG - Activity 50997: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,518 - acbm.assigning - DEBUG - Activity 50997: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,519 - acbm.assigning - DEBUG - Activity 50997: sampling based on floor area\n", - "2024-05-14 18:29:25,521 - acbm.assigning - DEBUG - Activity 50999: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,522 - acbm.assigning - DEBUG - Activity 50999: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,523 - acbm.assigning - DEBUG - Activity 50999: sampling based on floor area\n", - "2024-05-14 18:29:25,525 - acbm.assigning - DEBUG - Activity 51002: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,527 - acbm.assigning - DEBUG - Activity 51002: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,528 - acbm.assigning - DEBUG - Activity 51002: sampling based on floor area\n", - "2024-05-14 18:29:25,530 - acbm.assigning - DEBUG - Activity 51047: Initial number of options for activity = 51\n", - "2024-05-14 18:29:25,532 - acbm.assigning - DEBUG - Activity 51047: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:25,532 - acbm.assigning - DEBUG - Activity 51047: sampling based on floor area\n", - "2024-05-14 18:29:25,533 - acbm.assigning - DEBUG - Activity 51050: Initial number of options for activity = 51\n", - "2024-05-14 18:29:25,535 - acbm.assigning - DEBUG - Activity 51050: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:25,535 - acbm.assigning - DEBUG - Activity 51050: sampling based on floor area\n", - "2024-05-14 18:29:25,537 - acbm.assigning - DEBUG - Activity 51054: Initial number of options for activity = 51\n", - "2024-05-14 18:29:25,538 - acbm.assigning - DEBUG - Activity 51054: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:25,539 - acbm.assigning - DEBUG - Activity 51054: sampling based on floor area\n", - "2024-05-14 18:29:25,540 - acbm.assigning - DEBUG - Activity 51056: Initial number of options for activity = 51\n", - "2024-05-14 18:29:25,543 - acbm.assigning - DEBUG - Activity 51056: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:25,544 - acbm.assigning - DEBUG - Activity 51056: sampling based on floor area\n", - "2024-05-14 18:29:25,545 - acbm.assigning - DEBUG - Activity 51057: Initial number of options for activity = 51\n", - "2024-05-14 18:29:25,547 - acbm.assigning - DEBUG - Activity 51057: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:25,548 - acbm.assigning - DEBUG - Activity 51057: sampling based on floor area\n", - "2024-05-14 18:29:25,549 - acbm.assigning - DEBUG - Activity 51181: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,551 - acbm.assigning - DEBUG - Activity 51181: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,552 - acbm.assigning - DEBUG - Activity 51181: sampling based on floor area\n", - "2024-05-14 18:29:25,553 - acbm.assigning - DEBUG - Activity 51182: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,555 - acbm.assigning - DEBUG - Activity 51182: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,556 - acbm.assigning - DEBUG - Activity 51182: sampling based on floor area\n", - "2024-05-14 18:29:25,558 - acbm.assigning - DEBUG - Activity 51191: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,560 - acbm.assigning - DEBUG - Activity 51191: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,561 - acbm.assigning - DEBUG - Activity 51191: sampling based on floor area\n", - "2024-05-14 18:29:25,569 - acbm.assigning - DEBUG - Activity 51194: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,573 - acbm.assigning - DEBUG - Activity 51194: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,575 - acbm.assigning - DEBUG - Activity 51194: sampling based on floor area\n", - "2024-05-14 18:29:25,576 - acbm.assigning - DEBUG - Activity 51198: Initial number of options for activity = 9\n", - "2024-05-14 18:29:25,579 - acbm.assigning - DEBUG - Activity 51198: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:25,580 - acbm.assigning - DEBUG - Activity 51198: sampling based on floor area\n", - "2024-05-14 18:29:25,582 - acbm.assigning - DEBUG - Activity 51201: Initial number of options for activity = 12\n", - "2024-05-14 18:29:25,585 - acbm.assigning - DEBUG - Activity 51201: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:25,585 - acbm.assigning - DEBUG - Activity 51201: sampling based on floor area\n", - "2024-05-14 18:29:25,587 - acbm.assigning - DEBUG - Activity 51205: Initial number of options for activity = 12\n", - "2024-05-14 18:29:25,589 - acbm.assigning - DEBUG - Activity 51205: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:25,590 - acbm.assigning - DEBUG - Activity 51205: sampling based on floor area\n", - "2024-05-14 18:29:25,592 - acbm.assigning - DEBUG - Activity 51214: Initial number of options for activity = 12\n", - "2024-05-14 18:29:25,595 - acbm.assigning - DEBUG - Activity 51214: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:25,595 - acbm.assigning - DEBUG - Activity 51214: sampling based on floor area\n", - "2024-05-14 18:29:25,597 - acbm.assigning - DEBUG - Activity 51216: Initial number of options for activity = 12\n", - "2024-05-14 18:29:25,599 - acbm.assigning - DEBUG - Activity 51216: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:25,600 - acbm.assigning - DEBUG - Activity 51216: sampling based on floor area\n", - "2024-05-14 18:29:25,601 - acbm.assigning - DEBUG - Activity 51217: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,603 - acbm.assigning - DEBUG - Activity 51217: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,604 - acbm.assigning - DEBUG - Activity 51217: sampling based on floor area\n", - "2024-05-14 18:29:25,605 - acbm.assigning - DEBUG - Activity 51292: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,608 - acbm.assigning - DEBUG - Activity 51292: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,609 - acbm.assigning - DEBUG - Activity 51292: sampling based on floor area\n", - "2024-05-14 18:29:25,610 - acbm.assigning - DEBUG - Activity 51294: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,613 - acbm.assigning - DEBUG - Activity 51294: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,614 - acbm.assigning - DEBUG - Activity 51294: sampling based on floor area\n", - "2024-05-14 18:29:25,622 - acbm.assigning - DEBUG - Activity 51297: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,625 - acbm.assigning - DEBUG - Activity 51297: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,627 - acbm.assigning - DEBUG - Activity 51297: sampling based on floor area\n", - "2024-05-14 18:29:25,629 - acbm.assigning - DEBUG - Activity 51299: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,631 - acbm.assigning - DEBUG - Activity 51299: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,632 - acbm.assigning - DEBUG - Activity 51299: sampling based on floor area\n", - "2024-05-14 18:29:25,634 - acbm.assigning - DEBUG - Activity 51301: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,636 - acbm.assigning - DEBUG - Activity 51301: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,636 - acbm.assigning - DEBUG - Activity 51301: sampling based on floor area\n", - "2024-05-14 18:29:25,638 - acbm.assigning - DEBUG - Activity 51372: Initial number of options for activity = 106\n", - "2024-05-14 18:29:25,640 - acbm.assigning - DEBUG - Activity 51372: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:25,641 - acbm.assigning - DEBUG - Activity 51372: sampling based on floor area\n", - "2024-05-14 18:29:25,643 - acbm.assigning - DEBUG - Activity 51374: Initial number of options for activity = 106\n", - "2024-05-14 18:29:25,644 - acbm.assigning - DEBUG - Activity 51374: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:25,645 - acbm.assigning - DEBUG - Activity 51374: sampling based on floor area\n", - "2024-05-14 18:29:25,646 - acbm.assigning - DEBUG - Activity 51376: Initial number of options for activity = 106\n", - "2024-05-14 18:29:25,649 - acbm.assigning - DEBUG - Activity 51376: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:25,649 - acbm.assigning - DEBUG - Activity 51376: sampling based on floor area\n", - "2024-05-14 18:29:25,650 - acbm.assigning - DEBUG - Activity 51378: Initial number of options for activity = 106\n", - "2024-05-14 18:29:25,653 - acbm.assigning - DEBUG - Activity 51378: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:25,654 - acbm.assigning - DEBUG - Activity 51378: sampling based on floor area\n", - "2024-05-14 18:29:25,655 - acbm.assigning - DEBUG - Activity 51514: Initial number of options for activity = 149\n", - "2024-05-14 18:29:25,658 - acbm.assigning - DEBUG - Activity 51514: Number of options after filtering by education type: 149\n", - "2024-05-14 18:29:25,660 - acbm.assigning - DEBUG - Activity 51514: sampling based on floor area\n", - "2024-05-14 18:29:25,661 - acbm.assigning - DEBUG - Activity 51518: Initial number of options for activity = 149\n", - "2024-05-14 18:29:25,664 - acbm.assigning - DEBUG - Activity 51518: Number of options after filtering by education type: 149\n", - "2024-05-14 18:29:25,665 - acbm.assigning - DEBUG - Activity 51518: sampling based on floor area\n", - "2024-05-14 18:29:25,666 - acbm.assigning - DEBUG - Activity 51520: Initial number of options for activity = 20\n", - "2024-05-14 18:29:25,669 - acbm.assigning - DEBUG - Activity 51520: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:25,670 - acbm.assigning - DEBUG - Activity 51520: sampling based on floor area\n", - "2024-05-14 18:29:25,673 - acbm.assigning - DEBUG - Activity 51525: Initial number of options for activity = 149\n", - "2024-05-14 18:29:25,676 - acbm.assigning - DEBUG - Activity 51525: Number of options after filtering by education type: 149\n", - "2024-05-14 18:29:25,677 - acbm.assigning - DEBUG - Activity 51525: sampling based on floor area\n", - "2024-05-14 18:29:25,678 - acbm.assigning - DEBUG - Activity 51526: Initial number of options for activity = 149\n", - "2024-05-14 18:29:25,682 - acbm.assigning - DEBUG - Activity 51526: Number of options after filtering by education type: 149\n", - "2024-05-14 18:29:25,684 - acbm.assigning - DEBUG - Activity 51526: sampling based on floor area\n", - "2024-05-14 18:29:25,686 - acbm.assigning - DEBUG - Activity 51759: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,689 - acbm.assigning - DEBUG - Activity 51759: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,690 - acbm.assigning - DEBUG - Activity 51759: sampling based on floor area\n", - "2024-05-14 18:29:25,691 - acbm.assigning - DEBUG - Activity 51770: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,692 - acbm.assigning - DEBUG - Activity 51770: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,693 - acbm.assigning - DEBUG - Activity 51770: sampling based on floor area\n", - "2024-05-14 18:29:25,694 - acbm.assigning - DEBUG - Activity 51809: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,696 - acbm.assigning - DEBUG - Activity 51809: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,697 - acbm.assigning - DEBUG - Activity 51809: sampling based on floor area\n", - "2024-05-14 18:29:25,698 - acbm.assigning - INFO - Activity 51817: No zones available\n", - "2024-05-14 18:29:25,699 - acbm.assigning - INFO - Activity 51835: No zones available\n", - "2024-05-14 18:29:25,699 - acbm.assigning - DEBUG - Activity 51890: Initial number of options for activity = 100\n", - "2024-05-14 18:29:25,701 - acbm.assigning - DEBUG - Activity 51890: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:25,702 - acbm.assigning - DEBUG - Activity 51890: sampling based on floor area\n", - "2024-05-14 18:29:25,703 - acbm.assigning - DEBUG - Activity 51892: Initial number of options for activity = 100\n", - "2024-05-14 18:29:25,705 - acbm.assigning - DEBUG - Activity 51892: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:25,706 - acbm.assigning - DEBUG - Activity 51892: sampling based on floor area\n", - "2024-05-14 18:29:25,707 - acbm.assigning - DEBUG - Activity 51894: Initial number of options for activity = 100\n", - "2024-05-14 18:29:25,709 - acbm.assigning - DEBUG - Activity 51894: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:25,710 - acbm.assigning - DEBUG - Activity 51894: sampling based on floor area\n", - "2024-05-14 18:29:25,711 - acbm.assigning - DEBUG - Activity 51896: Initial number of options for activity = 100\n", - "2024-05-14 18:29:25,714 - acbm.assigning - DEBUG - Activity 51896: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:25,715 - acbm.assigning - DEBUG - Activity 51896: sampling based on floor area\n", - "2024-05-14 18:29:25,716 - acbm.assigning - DEBUG - Activity 51930: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,719 - acbm.assigning - DEBUG - Activity 51930: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,719 - acbm.assigning - DEBUG - Activity 51930: sampling based on floor area\n", - "2024-05-14 18:29:25,720 - acbm.assigning - DEBUG - Activity 51934: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,722 - acbm.assigning - DEBUG - Activity 51934: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,724 - acbm.assigning - DEBUG - Activity 51934: sampling based on floor area\n", - "2024-05-14 18:29:25,726 - acbm.assigning - DEBUG - Activity 51938: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,728 - acbm.assigning - DEBUG - Activity 51938: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,729 - acbm.assigning - DEBUG - Activity 51938: sampling based on floor area\n", - "2024-05-14 18:29:25,730 - acbm.assigning - DEBUG - Activity 51940: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,733 - acbm.assigning - DEBUG - Activity 51940: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,734 - acbm.assigning - DEBUG - Activity 51940: sampling based on floor area\n", - "2024-05-14 18:29:25,735 - acbm.assigning - DEBUG - Activity 51942: Initial number of options for activity = 11\n", - "2024-05-14 18:29:25,738 - acbm.assigning - DEBUG - Activity 51942: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:25,739 - acbm.assigning - DEBUG - Activity 51942: sampling based on floor area\n", - "2024-05-14 18:29:25,740 - acbm.assigning - DEBUG - Activity 51946: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,742 - acbm.assigning - DEBUG - Activity 51946: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,743 - acbm.assigning - DEBUG - Activity 51946: sampling based on floor area\n", - "2024-05-14 18:29:25,744 - acbm.assigning - DEBUG - Activity 51952: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,747 - acbm.assigning - DEBUG - Activity 51952: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,755 - acbm.assigning - DEBUG - Activity 51952: sampling based on floor area\n", - "2024-05-14 18:29:25,757 - acbm.assigning - DEBUG - Activity 51958: Initial number of options for activity = 1\n", - "2024-05-14 18:29:25,759 - acbm.assigning - DEBUG - Activity 51958: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:25,761 - acbm.assigning - DEBUG - Activity 51958: sampling based on floor area\n", - "2024-05-14 18:29:25,762 - acbm.assigning - INFO - Activity 51964: No zones available\n", - "2024-05-14 18:29:25,763 - acbm.assigning - INFO - Activity 52465: No zones available\n", - "2024-05-14 18:29:25,763 - acbm.assigning - INFO - Activity 52467: No zones available\n", - "2024-05-14 18:29:25,764 - acbm.assigning - INFO - Activity 52469: No zones available\n", - "2024-05-14 18:29:25,765 - acbm.assigning - INFO - Activity 52471: No zones available\n", - "2024-05-14 18:29:25,765 - acbm.assigning - DEBUG - Activity 52570: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,768 - acbm.assigning - DEBUG - Activity 52570: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,769 - acbm.assigning - DEBUG - Activity 52570: sampling based on floor area\n", - "2024-05-14 18:29:25,770 - acbm.assigning - DEBUG - Activity 52571: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,772 - acbm.assigning - DEBUG - Activity 52571: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,773 - acbm.assigning - DEBUG - Activity 52571: sampling based on floor area\n", - "2024-05-14 18:29:25,774 - acbm.assigning - DEBUG - Activity 52573: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,777 - acbm.assigning - DEBUG - Activity 52573: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,778 - acbm.assigning - DEBUG - Activity 52573: sampling based on floor area\n", - "2024-05-14 18:29:25,780 - acbm.assigning - DEBUG - Activity 52582: Initial number of options for activity = 59\n", - "2024-05-14 18:29:25,782 - acbm.assigning - DEBUG - Activity 52582: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:25,782 - acbm.assigning - DEBUG - Activity 52582: sampling based on floor area\n", - "2024-05-14 18:29:25,783 - acbm.assigning - DEBUG - Activity 52583: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,785 - acbm.assigning - DEBUG - Activity 52583: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,786 - acbm.assigning - DEBUG - Activity 52583: sampling based on floor area\n", - "2024-05-14 18:29:25,788 - acbm.assigning - DEBUG - Activity 52591: Initial number of options for activity = 59\n", - "2024-05-14 18:29:25,790 - acbm.assigning - DEBUG - Activity 52591: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:25,790 - acbm.assigning - DEBUG - Activity 52591: sampling based on floor area\n", - "2024-05-14 18:29:25,791 - acbm.assigning - DEBUG - Activity 52593: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,793 - acbm.assigning - DEBUG - Activity 52593: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,794 - acbm.assigning - DEBUG - Activity 52593: sampling based on floor area\n", - "2024-05-14 18:29:25,795 - acbm.assigning - DEBUG - Activity 52595: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,798 - acbm.assigning - DEBUG - Activity 52595: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,799 - acbm.assigning - DEBUG - Activity 52595: sampling based on floor area\n", - "2024-05-14 18:29:25,800 - acbm.assigning - DEBUG - Activity 52597: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,802 - acbm.assigning - DEBUG - Activity 52597: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,812 - acbm.assigning - DEBUG - Activity 52597: sampling based on floor area\n", - "2024-05-14 18:29:25,813 - acbm.assigning - DEBUG - Activity 52599: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,816 - acbm.assigning - DEBUG - Activity 52599: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,817 - acbm.assigning - DEBUG - Activity 52599: sampling based on floor area\n", - "2024-05-14 18:29:25,818 - acbm.assigning - DEBUG - Activity 52762: Initial number of options for activity = 36\n", - "2024-05-14 18:29:25,821 - acbm.assigning - DEBUG - Activity 52762: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:25,822 - acbm.assigning - DEBUG - Activity 52762: sampling based on floor area\n", - "2024-05-14 18:29:25,823 - acbm.assigning - DEBUG - Activity 52764: Initial number of options for activity = 36\n", - "2024-05-14 18:29:25,825 - acbm.assigning - DEBUG - Activity 52764: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:25,826 - acbm.assigning - DEBUG - Activity 52764: sampling based on floor area\n", - "2024-05-14 18:29:25,828 - acbm.assigning - DEBUG - Activity 52766: Initial number of options for activity = 36\n", - "2024-05-14 18:29:25,831 - acbm.assigning - DEBUG - Activity 52766: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:25,832 - acbm.assigning - DEBUG - Activity 52766: sampling based on floor area\n", - "2024-05-14 18:29:25,833 - acbm.assigning - DEBUG - Activity 52768: Initial number of options for activity = 36\n", - "2024-05-14 18:29:25,836 - acbm.assigning - DEBUG - Activity 52768: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:25,837 - acbm.assigning - DEBUG - Activity 52768: sampling based on floor area\n", - "2024-05-14 18:29:25,838 - acbm.assigning - INFO - Activity 52795: No zones available\n", - "2024-05-14 18:29:25,838 - acbm.assigning - INFO - Activity 52797: No zones available\n", - "2024-05-14 18:29:25,839 - acbm.assigning - INFO - Activity 52799: No zones available\n", - "2024-05-14 18:29:25,839 - acbm.assigning - INFO - Activity 52801: No zones available\n", - "2024-05-14 18:29:25,840 - acbm.assigning - INFO - Activity 52805: No zones available\n", - "2024-05-14 18:29:25,840 - acbm.assigning - INFO - Activity 52807: No zones available\n", - "2024-05-14 18:29:25,841 - acbm.assigning - INFO - Activity 52813: No zones available\n", - "2024-05-14 18:29:25,842 - acbm.assigning - INFO - Activity 52815: No zones available\n", - "2024-05-14 18:29:25,842 - acbm.assigning - INFO - Activity 52819: No zones available\n", - "2024-05-14 18:29:25,843 - acbm.assigning - INFO - Activity 52821: No zones available\n", - "2024-05-14 18:29:25,844 - acbm.assigning - INFO - Activity 52955: No zones available\n", - "2024-05-14 18:29:25,844 - acbm.assigning - INFO - Activity 53003: No zones available\n", - "2024-05-14 18:29:25,845 - acbm.assigning - INFO - Activity 53005: No zones available\n", - "2024-05-14 18:29:25,845 - acbm.assigning - INFO - Activity 53007: No zones available\n", - "2024-05-14 18:29:25,846 - acbm.assigning - INFO - Activity 53009: No zones available\n", - "2024-05-14 18:29:25,846 - acbm.assigning - INFO - Activity 53011: No zones available\n", - "2024-05-14 18:29:25,847 - acbm.assigning - DEBUG - Activity 53102: Initial number of options for activity = 18\n", - "2024-05-14 18:29:25,849 - acbm.assigning - DEBUG - Activity 53102: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:25,850 - acbm.assigning - DEBUG - Activity 53102: sampling based on floor area\n", - "2024-05-14 18:29:25,851 - acbm.assigning - DEBUG - Activity 53105: Initial number of options for activity = 123\n", - "2024-05-14 18:29:25,853 - acbm.assigning - DEBUG - Activity 53105: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:25,854 - acbm.assigning - DEBUG - Activity 53105: sampling based on floor area\n", - "2024-05-14 18:29:25,855 - acbm.assigning - DEBUG - Activity 53106: Initial number of options for activity = 123\n", - "2024-05-14 18:29:25,857 - acbm.assigning - DEBUG - Activity 53106: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:25,858 - acbm.assigning - DEBUG - Activity 53106: sampling based on floor area\n", - "2024-05-14 18:29:25,859 - acbm.assigning - DEBUG - Activity 53107: Initial number of options for activity = 39\n", - "2024-05-14 18:29:25,861 - acbm.assigning - DEBUG - Activity 53107: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:25,862 - acbm.assigning - DEBUG - Activity 53107: sampling based on floor area\n", - "2024-05-14 18:29:25,863 - acbm.assigning - DEBUG - Activity 53108: Initial number of options for activity = 18\n", - "2024-05-14 18:29:25,865 - acbm.assigning - DEBUG - Activity 53108: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:25,866 - acbm.assigning - DEBUG - Activity 53108: sampling based on floor area\n", - "2024-05-14 18:29:25,867 - acbm.assigning - DEBUG - Activity 53135: Initial number of options for activity = 20\n", - "2024-05-14 18:29:25,870 - acbm.assigning - DEBUG - Activity 53135: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:25,871 - acbm.assigning - DEBUG - Activity 53135: sampling based on floor area\n", - "2024-05-14 18:29:25,873 - acbm.assigning - DEBUG - Activity 53137: Initial number of options for activity = 20\n", - "2024-05-14 18:29:25,876 - acbm.assigning - DEBUG - Activity 53137: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:25,877 - acbm.assigning - DEBUG - Activity 53137: sampling based on floor area\n", - "2024-05-14 18:29:25,878 - acbm.assigning - DEBUG - Activity 53139: Initial number of options for activity = 20\n", - "2024-05-14 18:29:25,879 - acbm.assigning - DEBUG - Activity 53139: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:25,880 - acbm.assigning - DEBUG - Activity 53139: sampling based on floor area\n", - "2024-05-14 18:29:25,881 - acbm.assigning - DEBUG - Activity 53141: Initial number of options for activity = 20\n", - "2024-05-14 18:29:25,883 - acbm.assigning - DEBUG - Activity 53141: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:25,884 - acbm.assigning - DEBUG - Activity 53141: sampling based on floor area\n", - "2024-05-14 18:29:25,885 - acbm.assigning - DEBUG - Activity 53143: Initial number of options for activity = 20\n", - "2024-05-14 18:29:25,886 - acbm.assigning - DEBUG - Activity 53143: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:25,887 - acbm.assigning - DEBUG - Activity 53143: sampling based on floor area\n", - "2024-05-14 18:29:25,888 - acbm.assigning - INFO - Activity 53161: No zones available\n", - "2024-05-14 18:29:25,889 - acbm.assigning - INFO - Activity 53296: No zones available\n", - "2024-05-14 18:29:25,889 - acbm.assigning - DEBUG - Activity 53302: Initial number of options for activity = 13\n", - "2024-05-14 18:29:25,891 - acbm.assigning - DEBUG - Activity 53302: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:25,892 - acbm.assigning - DEBUG - Activity 53302: sampling based on floor area\n", - "2024-05-14 18:29:25,893 - acbm.assigning - INFO - Activity 53742: No zones available\n", - "2024-05-14 18:29:25,893 - acbm.assigning - DEBUG - Activity 53743: Initial number of options for activity = 58\n", - "2024-05-14 18:29:25,895 - acbm.assigning - DEBUG - Activity 53743: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:25,896 - acbm.assigning - DEBUG - Activity 53743: sampling based on floor area\n", - "2024-05-14 18:29:25,898 - acbm.assigning - INFO - Activity 53946: No zones available\n", - "2024-05-14 18:29:25,898 - acbm.assigning - INFO - Activity 53948: No zones available\n", - "2024-05-14 18:29:25,899 - acbm.assigning - INFO - Activity 53950: No zones available\n", - "2024-05-14 18:29:25,900 - acbm.assigning - INFO - Activity 53951: No zones available\n", - "2024-05-14 18:29:25,900 - acbm.assigning - DEBUG - Activity 54082: Initial number of options for activity = 15\n", - "2024-05-14 18:29:25,902 - acbm.assigning - DEBUG - Activity 54082: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:25,903 - acbm.assigning - DEBUG - Activity 54082: sampling based on floor area\n", - "2024-05-14 18:29:25,904 - acbm.assigning - DEBUG - Activity 54084: Initial number of options for activity = 15\n", - "2024-05-14 18:29:25,905 - acbm.assigning - DEBUG - Activity 54084: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:25,906 - acbm.assigning - DEBUG - Activity 54084: sampling based on floor area\n", - "2024-05-14 18:29:25,907 - acbm.assigning - DEBUG - Activity 54088: Initial number of options for activity = 15\n", - "2024-05-14 18:29:25,909 - acbm.assigning - DEBUG - Activity 54088: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:25,910 - acbm.assigning - DEBUG - Activity 54088: sampling based on floor area\n", - "2024-05-14 18:29:25,911 - acbm.assigning - DEBUG - Activity 54093: Initial number of options for activity = 15\n", - "2024-05-14 18:29:25,912 - acbm.assigning - DEBUG - Activity 54093: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:25,913 - acbm.assigning - DEBUG - Activity 54093: sampling based on floor area\n", - "2024-05-14 18:29:25,914 - acbm.assigning - DEBUG - Activity 54095: Initial number of options for activity = 15\n", - "2024-05-14 18:29:25,916 - acbm.assigning - DEBUG - Activity 54095: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:25,924 - acbm.assigning - DEBUG - Activity 54095: sampling based on floor area\n", - "2024-05-14 18:29:25,926 - acbm.assigning - DEBUG - Activity 54595: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,929 - acbm.assigning - DEBUG - Activity 54595: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,931 - acbm.assigning - DEBUG - Activity 54595: sampling based on floor area\n", - "2024-05-14 18:29:25,932 - acbm.assigning - DEBUG - Activity 54597: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,935 - acbm.assigning - DEBUG - Activity 54597: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,936 - acbm.assigning - DEBUG - Activity 54597: sampling based on floor area\n", - "2024-05-14 18:29:25,938 - acbm.assigning - DEBUG - Activity 54599: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,941 - acbm.assigning - DEBUG - Activity 54599: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,941 - acbm.assigning - DEBUG - Activity 54599: sampling based on floor area\n", - "2024-05-14 18:29:25,943 - acbm.assigning - DEBUG - Activity 54601: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,946 - acbm.assigning - DEBUG - Activity 54601: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,946 - acbm.assigning - DEBUG - Activity 54601: sampling based on floor area\n", - "2024-05-14 18:29:25,947 - acbm.assigning - DEBUG - Activity 54632: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,949 - acbm.assigning - DEBUG - Activity 54632: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,950 - acbm.assigning - DEBUG - Activity 54632: sampling based on floor area\n", - "2024-05-14 18:29:25,952 - acbm.assigning - DEBUG - Activity 54634: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,954 - acbm.assigning - DEBUG - Activity 54634: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,955 - acbm.assigning - DEBUG - Activity 54634: sampling based on floor area\n", - "2024-05-14 18:29:25,956 - acbm.assigning - DEBUG - Activity 54638: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,959 - acbm.assigning - DEBUG - Activity 54638: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,960 - acbm.assigning - DEBUG - Activity 54638: sampling based on floor area\n", - "2024-05-14 18:29:25,961 - acbm.assigning - DEBUG - Activity 54640: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,963 - acbm.assigning - DEBUG - Activity 54640: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,964 - acbm.assigning - DEBUG - Activity 54640: sampling based on floor area\n", - "2024-05-14 18:29:25,965 - acbm.assigning - DEBUG - Activity 54642: Initial number of options for activity = 120\n", - "2024-05-14 18:29:25,967 - acbm.assigning - DEBUG - Activity 54642: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:25,968 - acbm.assigning - DEBUG - Activity 54642: sampling based on floor area\n", - "2024-05-14 18:29:25,969 - acbm.assigning - DEBUG - Activity 54756: Initial number of options for activity = 119\n", - "2024-05-14 18:29:25,979 - acbm.assigning - DEBUG - Activity 54756: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:25,980 - acbm.assigning - DEBUG - Activity 54756: sampling based on floor area\n", - "2024-05-14 18:29:25,982 - acbm.assigning - DEBUG - Activity 54758: Initial number of options for activity = 119\n", - "2024-05-14 18:29:25,985 - acbm.assigning - DEBUG - Activity 54758: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:25,986 - acbm.assigning - DEBUG - Activity 54758: sampling based on floor area\n", - "2024-05-14 18:29:25,988 - acbm.assigning - DEBUG - Activity 54760: Initial number of options for activity = 119\n", - "2024-05-14 18:29:25,991 - acbm.assigning - DEBUG - Activity 54760: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:25,991 - acbm.assigning - DEBUG - Activity 54760: sampling based on floor area\n", - "2024-05-14 18:29:25,995 - acbm.assigning - DEBUG - Activity 54762: Initial number of options for activity = 119\n", - "2024-05-14 18:29:25,998 - acbm.assigning - DEBUG - Activity 54762: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:25,999 - acbm.assigning - DEBUG - Activity 54762: sampling based on floor area\n", - "2024-05-14 18:29:26,000 - acbm.assigning - DEBUG - Activity 55040: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,002 - acbm.assigning - DEBUG - Activity 55040: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,004 - acbm.assigning - DEBUG - Activity 55040: sampling based on floor area\n", - "2024-05-14 18:29:26,005 - acbm.assigning - DEBUG - Activity 55041: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,009 - acbm.assigning - DEBUG - Activity 55041: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,010 - acbm.assigning - DEBUG - Activity 55041: sampling based on floor area\n", - "2024-05-14 18:29:26,011 - acbm.assigning - DEBUG - Activity 55043: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,014 - acbm.assigning - DEBUG - Activity 55043: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,015 - acbm.assigning - DEBUG - Activity 55043: sampling based on floor area\n", - "2024-05-14 18:29:26,016 - acbm.assigning - DEBUG - Activity 55050: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,018 - acbm.assigning - DEBUG - Activity 55050: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,019 - acbm.assigning - DEBUG - Activity 55050: sampling based on floor area\n", - "2024-05-14 18:29:26,020 - acbm.assigning - DEBUG - Activity 55055: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,022 - acbm.assigning - DEBUG - Activity 55055: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,023 - acbm.assigning - DEBUG - Activity 55055: sampling based on floor area\n", - "2024-05-14 18:29:26,025 - acbm.assigning - DEBUG - Activity 55057: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,027 - acbm.assigning - DEBUG - Activity 55057: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,028 - acbm.assigning - DEBUG - Activity 55057: sampling based on floor area\n", - "2024-05-14 18:29:26,029 - acbm.assigning - DEBUG - Activity 55070: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,032 - acbm.assigning - DEBUG - Activity 55070: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,033 - acbm.assigning - DEBUG - Activity 55070: sampling based on floor area\n", - "2024-05-14 18:29:26,035 - acbm.assigning - DEBUG - Activity 55071: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,038 - acbm.assigning - DEBUG - Activity 55071: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,039 - acbm.assigning - DEBUG - Activity 55071: sampling based on floor area\n", - "2024-05-14 18:29:26,041 - acbm.assigning - DEBUG - Activity 55079: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,044 - acbm.assigning - DEBUG - Activity 55079: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,045 - acbm.assigning - DEBUG - Activity 55079: sampling based on floor area\n", - "2024-05-14 18:29:26,047 - acbm.assigning - DEBUG - Activity 55081: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,050 - acbm.assigning - DEBUG - Activity 55081: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,051 - acbm.assigning - DEBUG - Activity 55081: sampling based on floor area\n", - "2024-05-14 18:29:26,052 - acbm.assigning - DEBUG - Activity 55086: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,056 - acbm.assigning - DEBUG - Activity 55086: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,057 - acbm.assigning - DEBUG - Activity 55086: sampling based on floor area\n", - "2024-05-14 18:29:26,058 - acbm.assigning - DEBUG - Activity 55090: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,061 - acbm.assigning - DEBUG - Activity 55090: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,062 - acbm.assigning - DEBUG - Activity 55090: sampling based on floor area\n", - "2024-05-14 18:29:26,064 - acbm.assigning - DEBUG - Activity 55206: Initial number of options for activity = 7\n", - "2024-05-14 18:29:26,067 - acbm.assigning - DEBUG - Activity 55206: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:26,068 - acbm.assigning - DEBUG - Activity 55206: sampling based on floor area\n", - "2024-05-14 18:29:26,070 - acbm.assigning - INFO - Activity 55244: No zones available\n", - "2024-05-14 18:29:26,070 - acbm.assigning - DEBUG - Activity 55359: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,074 - acbm.assigning - DEBUG - Activity 55359: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,075 - acbm.assigning - DEBUG - Activity 55359: sampling based on floor area\n", - "2024-05-14 18:29:26,076 - acbm.assigning - DEBUG - Activity 55361: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,080 - acbm.assigning - DEBUG - Activity 55361: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,088 - acbm.assigning - DEBUG - Activity 55361: sampling based on floor area\n", - "2024-05-14 18:29:26,090 - acbm.assigning - DEBUG - Activity 55365: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,093 - acbm.assigning - DEBUG - Activity 55365: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,095 - acbm.assigning - DEBUG - Activity 55365: sampling based on floor area\n", - "2024-05-14 18:29:26,097 - acbm.assigning - DEBUG - Activity 55367: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,100 - acbm.assigning - DEBUG - Activity 55367: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,102 - acbm.assigning - DEBUG - Activity 55367: sampling based on floor area\n", - "2024-05-14 18:29:26,104 - acbm.assigning - DEBUG - Activity 55369: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,107 - acbm.assigning - DEBUG - Activity 55369: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,109 - acbm.assigning - DEBUG - Activity 55369: sampling based on floor area\n", - "2024-05-14 18:29:26,110 - acbm.assigning - DEBUG - Activity 55546: Initial number of options for activity = 139\n", - "2024-05-14 18:29:26,114 - acbm.assigning - DEBUG - Activity 55546: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:26,115 - acbm.assigning - DEBUG - Activity 55546: sampling based on floor area\n", - "2024-05-14 18:29:26,117 - acbm.assigning - DEBUG - Activity 55549: Initial number of options for activity = 65\n", - "2024-05-14 18:29:26,119 - acbm.assigning - DEBUG - Activity 55549: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:26,120 - acbm.assigning - DEBUG - Activity 55549: sampling based on floor area\n", - "2024-05-14 18:29:26,122 - acbm.assigning - DEBUG - Activity 55551: Initial number of options for activity = 117\n", - "2024-05-14 18:29:26,130 - acbm.assigning - DEBUG - Activity 55551: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:26,131 - acbm.assigning - DEBUG - Activity 55551: sampling based on floor area\n", - "2024-05-14 18:29:26,137 - acbm.assigning - DEBUG - Activity 55559: Initial number of options for activity = 106\n", - "2024-05-14 18:29:26,145 - acbm.assigning - DEBUG - Activity 55559: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:26,157 - acbm.assigning - DEBUG - Activity 55559: sampling based on floor area\n", - "2024-05-14 18:29:26,160 - acbm.assigning - DEBUG - Activity 55867: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,164 - acbm.assigning - DEBUG - Activity 55867: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,166 - acbm.assigning - DEBUG - Activity 55867: sampling based on floor area\n", - "2024-05-14 18:29:26,168 - acbm.assigning - DEBUG - Activity 55874: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,171 - acbm.assigning - DEBUG - Activity 55874: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,173 - acbm.assigning - DEBUG - Activity 55874: sampling based on floor area\n", - "2024-05-14 18:29:26,174 - acbm.assigning - DEBUG - Activity 55877: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,177 - acbm.assigning - DEBUG - Activity 55877: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,178 - acbm.assigning - DEBUG - Activity 55877: sampling based on floor area\n", - "2024-05-14 18:29:26,179 - acbm.assigning - DEBUG - Activity 55878: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,182 - acbm.assigning - DEBUG - Activity 55878: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,183 - acbm.assigning - DEBUG - Activity 55878: sampling based on floor area\n", - "2024-05-14 18:29:26,184 - acbm.assigning - DEBUG - Activity 55879: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,187 - acbm.assigning - DEBUG - Activity 55879: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,187 - acbm.assigning - DEBUG - Activity 55879: sampling based on floor area\n", - "2024-05-14 18:29:26,189 - acbm.assigning - DEBUG - Activity 55880: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,192 - acbm.assigning - DEBUG - Activity 55880: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,193 - acbm.assigning - DEBUG - Activity 55880: sampling based on floor area\n", - "2024-05-14 18:29:26,194 - acbm.assigning - DEBUG - Activity 55891: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,196 - acbm.assigning - DEBUG - Activity 55891: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,197 - acbm.assigning - DEBUG - Activity 55891: sampling based on floor area\n", - "2024-05-14 18:29:26,199 - acbm.assigning - DEBUG - Activity 55893: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,204 - acbm.assigning - DEBUG - Activity 55893: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,205 - acbm.assigning - DEBUG - Activity 55893: sampling based on floor area\n", - "2024-05-14 18:29:26,207 - acbm.assigning - DEBUG - Activity 55896: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,210 - acbm.assigning - DEBUG - Activity 55896: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,211 - acbm.assigning - DEBUG - Activity 55896: sampling based on floor area\n", - "2024-05-14 18:29:26,213 - acbm.assigning - DEBUG - Activity 55901: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,215 - acbm.assigning - DEBUG - Activity 55901: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,220 - acbm.assigning - DEBUG - Activity 55901: sampling based on floor area\n", - "2024-05-14 18:29:26,222 - acbm.assigning - DEBUG - Activity 55902: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,225 - acbm.assigning - DEBUG - Activity 55902: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,226 - acbm.assigning - DEBUG - Activity 55902: sampling based on floor area\n", - "2024-05-14 18:29:26,228 - acbm.assigning - DEBUG - Activity 55910: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,231 - acbm.assigning - DEBUG - Activity 55910: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,232 - acbm.assigning - DEBUG - Activity 55910: sampling based on floor area\n", - "2024-05-14 18:29:26,234 - acbm.assigning - DEBUG - Activity 55912: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,237 - acbm.assigning - DEBUG - Activity 55912: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,238 - acbm.assigning - DEBUG - Activity 55912: sampling based on floor area\n", - "2024-05-14 18:29:26,239 - acbm.assigning - DEBUG - Activity 55914: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,242 - acbm.assigning - DEBUG - Activity 55914: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,243 - acbm.assigning - DEBUG - Activity 55914: sampling based on floor area\n", - "2024-05-14 18:29:26,245 - acbm.assigning - DEBUG - Activity 55918: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,247 - acbm.assigning - DEBUG - Activity 55918: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,248 - acbm.assigning - DEBUG - Activity 55918: sampling based on floor area\n", - "2024-05-14 18:29:26,250 - acbm.assigning - DEBUG - Activity 55924: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,253 - acbm.assigning - DEBUG - Activity 55924: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,254 - acbm.assigning - DEBUG - Activity 55924: sampling based on floor area\n", - "2024-05-14 18:29:26,256 - acbm.assigning - DEBUG - Activity 55932: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,258 - acbm.assigning - DEBUG - Activity 55932: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,259 - acbm.assigning - DEBUG - Activity 55932: sampling based on floor area\n", - "2024-05-14 18:29:26,261 - acbm.assigning - DEBUG - Activity 55933: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,264 - acbm.assigning - DEBUG - Activity 55933: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,265 - acbm.assigning - DEBUG - Activity 55933: sampling based on floor area\n", - "2024-05-14 18:29:26,266 - acbm.assigning - DEBUG - Activity 55935: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,268 - acbm.assigning - DEBUG - Activity 55935: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,277 - acbm.assigning - DEBUG - Activity 55935: sampling based on floor area\n", - "2024-05-14 18:29:26,279 - acbm.assigning - DEBUG - Activity 55936: Initial number of options for activity = 52\n", - "2024-05-14 18:29:26,282 - acbm.assigning - DEBUG - Activity 55936: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:26,283 - acbm.assigning - DEBUG - Activity 55936: sampling based on floor area\n", - "2024-05-14 18:29:26,285 - acbm.assigning - INFO - Activity 56119: No zones available\n", - "2024-05-14 18:29:26,286 - acbm.assigning - INFO - Activity 56127: No zones available\n", - "2024-05-14 18:29:26,286 - acbm.assigning - DEBUG - Activity 56221: Initial number of options for activity = 25\n", - "2024-05-14 18:29:26,290 - acbm.assigning - DEBUG - Activity 56221: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:26,291 - acbm.assigning - DEBUG - Activity 56221: sampling based on floor area\n", - "2024-05-14 18:29:26,293 - acbm.assigning - DEBUG - Activity 56222: Initial number of options for activity = 25\n", - "2024-05-14 18:29:26,296 - acbm.assigning - DEBUG - Activity 56222: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:26,297 - acbm.assigning - DEBUG - Activity 56222: sampling based on floor area\n", - "2024-05-14 18:29:26,298 - acbm.assigning - DEBUG - Activity 56223: Initial number of options for activity = 104\n", - "2024-05-14 18:29:26,302 - acbm.assigning - DEBUG - Activity 56223: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:26,302 - acbm.assigning - DEBUG - Activity 56223: sampling based on floor area\n", - "2024-05-14 18:29:26,304 - acbm.assigning - DEBUG - Activity 56224: Initial number of options for activity = 25\n", - "2024-05-14 18:29:26,307 - acbm.assigning - DEBUG - Activity 56224: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:26,308 - acbm.assigning - DEBUG - Activity 56224: sampling based on floor area\n", - "2024-05-14 18:29:26,309 - acbm.assigning - DEBUG - Activity 56232: Initial number of options for activity = 25\n", - "2024-05-14 18:29:26,312 - acbm.assigning - DEBUG - Activity 56232: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:26,314 - acbm.assigning - DEBUG - Activity 56232: sampling based on floor area\n", - "2024-05-14 18:29:26,315 - acbm.assigning - INFO - Activity 56434: No zones available\n", - "2024-05-14 18:29:26,316 - acbm.assigning - DEBUG - Activity 56637: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,319 - acbm.assigning - DEBUG - Activity 56637: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,320 - acbm.assigning - DEBUG - Activity 56637: sampling based on floor area\n", - "2024-05-14 18:29:26,321 - acbm.assigning - DEBUG - Activity 56639: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,323 - acbm.assigning - DEBUG - Activity 56639: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,324 - acbm.assigning - DEBUG - Activity 56639: sampling based on floor area\n", - "2024-05-14 18:29:26,325 - acbm.assigning - DEBUG - Activity 56645: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,327 - acbm.assigning - DEBUG - Activity 56645: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,328 - acbm.assigning - DEBUG - Activity 56645: sampling based on floor area\n", - "2024-05-14 18:29:26,330 - acbm.assigning - DEBUG - Activity 56646: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,332 - acbm.assigning - DEBUG - Activity 56646: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,332 - acbm.assigning - DEBUG - Activity 56646: sampling based on floor area\n", - "2024-05-14 18:29:26,333 - acbm.assigning - DEBUG - Activity 56647: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,336 - acbm.assigning - DEBUG - Activity 56647: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,337 - acbm.assigning - DEBUG - Activity 56647: sampling based on floor area\n", - "2024-05-14 18:29:26,339 - acbm.assigning - DEBUG - Activity 56835: Initial number of options for activity = 5\n", - "2024-05-14 18:29:26,342 - acbm.assigning - DEBUG - Activity 56835: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:26,343 - acbm.assigning - DEBUG - Activity 56835: sampling based on floor area\n", - "2024-05-14 18:29:26,345 - acbm.assigning - DEBUG - Activity 56849: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,347 - acbm.assigning - DEBUG - Activity 56849: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,348 - acbm.assigning - DEBUG - Activity 56849: sampling based on floor area\n", - "2024-05-14 18:29:26,349 - acbm.assigning - DEBUG - Activity 56852: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,351 - acbm.assigning - DEBUG - Activity 56852: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,352 - acbm.assigning - DEBUG - Activity 56852: sampling based on floor area\n", - "2024-05-14 18:29:26,353 - acbm.assigning - DEBUG - Activity 56855: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,356 - acbm.assigning - DEBUG - Activity 56855: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,356 - acbm.assigning - DEBUG - Activity 56855: sampling based on floor area\n", - "2024-05-14 18:29:26,357 - acbm.assigning - DEBUG - Activity 56857: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,360 - acbm.assigning - DEBUG - Activity 56857: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,369 - acbm.assigning - DEBUG - Activity 56857: sampling based on floor area\n", - "2024-05-14 18:29:26,371 - acbm.assigning - DEBUG - Activity 56858: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,374 - acbm.assigning - DEBUG - Activity 56858: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,375 - acbm.assigning - DEBUG - Activity 56858: sampling based on floor area\n", - "2024-05-14 18:29:26,377 - acbm.assigning - DEBUG - Activity 56859: Initial number of options for activity = 8\n", - "2024-05-14 18:29:26,380 - acbm.assigning - DEBUG - Activity 56859: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:26,381 - acbm.assigning - DEBUG - Activity 56859: sampling based on floor area\n", - "2024-05-14 18:29:26,384 - acbm.assigning - DEBUG - Activity 56861: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,386 - acbm.assigning - DEBUG - Activity 56861: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,387 - acbm.assigning - DEBUG - Activity 56861: sampling based on floor area\n", - "2024-05-14 18:29:26,389 - acbm.assigning - INFO - Activity 57029: No zones available\n", - "2024-05-14 18:29:26,390 - acbm.assigning - INFO - Activity 57044: No zones available\n", - "2024-05-14 18:29:26,391 - acbm.assigning - DEBUG - Activity 57356: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,394 - acbm.assigning - DEBUG - Activity 57356: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,395 - acbm.assigning - DEBUG - Activity 57356: sampling based on floor area\n", - "2024-05-14 18:29:26,396 - acbm.assigning - DEBUG - Activity 57404: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,398 - acbm.assigning - DEBUG - Activity 57404: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,399 - acbm.assigning - DEBUG - Activity 57404: sampling based on floor area\n", - "2024-05-14 18:29:26,400 - acbm.assigning - DEBUG - Activity 57414: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,403 - acbm.assigning - DEBUG - Activity 57414: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,404 - acbm.assigning - DEBUG - Activity 57414: sampling based on floor area\n", - "2024-05-14 18:29:26,405 - acbm.assigning - DEBUG - Activity 57416: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,407 - acbm.assigning - DEBUG - Activity 57416: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,408 - acbm.assigning - DEBUG - Activity 57416: sampling based on floor area\n", - "2024-05-14 18:29:26,409 - acbm.assigning - DEBUG - Activity 57418: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,411 - acbm.assigning - DEBUG - Activity 57418: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,411 - acbm.assigning - DEBUG - Activity 57418: sampling based on floor area\n", - "2024-05-14 18:29:26,413 - acbm.assigning - DEBUG - Activity 57474: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,415 - acbm.assigning - DEBUG - Activity 57474: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,417 - acbm.assigning - DEBUG - Activity 57474: sampling based on floor area\n", - "2024-05-14 18:29:26,419 - acbm.assigning - DEBUG - Activity 57482: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,421 - acbm.assigning - DEBUG - Activity 57482: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,421 - acbm.assigning - DEBUG - Activity 57482: sampling based on floor area\n", - "2024-05-14 18:29:26,422 - acbm.assigning - DEBUG - Activity 57521: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,424 - acbm.assigning - DEBUG - Activity 57521: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,425 - acbm.assigning - DEBUG - Activity 57521: sampling based on floor area\n", - "2024-05-14 18:29:26,426 - acbm.assigning - DEBUG - Activity 57523: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,429 - acbm.assigning - DEBUG - Activity 57523: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,429 - acbm.assigning - DEBUG - Activity 57523: sampling based on floor area\n", - "2024-05-14 18:29:26,431 - acbm.assigning - DEBUG - Activity 57527: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,443 - acbm.assigning - DEBUG - Activity 57527: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,444 - acbm.assigning - DEBUG - Activity 57527: sampling based on floor area\n", - "2024-05-14 18:29:26,447 - acbm.assigning - DEBUG - Activity 57529: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,451 - acbm.assigning - DEBUG - Activity 57529: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,452 - acbm.assigning - DEBUG - Activity 57529: sampling based on floor area\n", - "2024-05-14 18:29:26,454 - acbm.assigning - DEBUG - Activity 57531: Initial number of options for activity = 92\n", - "2024-05-14 18:29:26,458 - acbm.assigning - DEBUG - Activity 57531: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:26,459 - acbm.assigning - DEBUG - Activity 57531: sampling based on floor area\n", - "2024-05-14 18:29:26,460 - acbm.assigning - DEBUG - Activity 57596: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,463 - acbm.assigning - DEBUG - Activity 57596: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,464 - acbm.assigning - DEBUG - Activity 57596: sampling based on floor area\n", - "2024-05-14 18:29:26,466 - acbm.assigning - DEBUG - Activity 57598: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,469 - acbm.assigning - DEBUG - Activity 57598: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,470 - acbm.assigning - DEBUG - Activity 57598: sampling based on floor area\n", - "2024-05-14 18:29:26,471 - acbm.assigning - DEBUG - Activity 57600: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,474 - acbm.assigning - DEBUG - Activity 57600: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,475 - acbm.assigning - DEBUG - Activity 57600: sampling based on floor area\n", - "2024-05-14 18:29:26,476 - acbm.assigning - DEBUG - Activity 57602: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,479 - acbm.assigning - DEBUG - Activity 57602: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,480 - acbm.assigning - DEBUG - Activity 57602: sampling based on floor area\n", - "2024-05-14 18:29:26,481 - acbm.assigning - DEBUG - Activity 57705: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,483 - acbm.assigning - DEBUG - Activity 57705: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,484 - acbm.assigning - DEBUG - Activity 57705: sampling based on floor area\n", - "2024-05-14 18:29:26,485 - acbm.assigning - DEBUG - Activity 57707: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,488 - acbm.assigning - DEBUG - Activity 57707: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,488 - acbm.assigning - DEBUG - Activity 57707: sampling based on floor area\n", - "2024-05-14 18:29:26,490 - acbm.assigning - DEBUG - Activity 57711: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,493 - acbm.assigning - DEBUG - Activity 57711: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,493 - acbm.assigning - DEBUG - Activity 57711: sampling based on floor area\n", - "2024-05-14 18:29:26,494 - acbm.assigning - DEBUG - Activity 57713: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,496 - acbm.assigning - DEBUG - Activity 57713: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,497 - acbm.assigning - DEBUG - Activity 57713: sampling based on floor area\n", - "2024-05-14 18:29:26,498 - acbm.assigning - DEBUG - Activity 57715: Initial number of options for activity = 100\n", - "2024-05-14 18:29:26,500 - acbm.assigning - DEBUG - Activity 57715: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:26,500 - acbm.assigning - DEBUG - Activity 57715: sampling based on floor area\n", - "2024-05-14 18:29:26,501 - acbm.assigning - DEBUG - Activity 57901: Initial number of options for activity = 131\n", - "2024-05-14 18:29:26,503 - acbm.assigning - DEBUG - Activity 57901: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:26,504 - acbm.assigning - DEBUG - Activity 57901: sampling based on floor area\n", - "2024-05-14 18:29:26,506 - acbm.assigning - DEBUG - Activity 57904: Initial number of options for activity = 151\n", - "2024-05-14 18:29:26,509 - acbm.assigning - DEBUG - Activity 57904: Number of options after filtering by education type: 151\n", - "2024-05-14 18:29:26,510 - acbm.assigning - DEBUG - Activity 57904: sampling based on floor area\n", - "2024-05-14 18:29:26,511 - acbm.assigning - DEBUG - Activity 57905: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,514 - acbm.assigning - DEBUG - Activity 57905: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,515 - acbm.assigning - DEBUG - Activity 57905: sampling based on floor area\n", - "2024-05-14 18:29:26,517 - acbm.assigning - DEBUG - Activity 57907: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,519 - acbm.assigning - DEBUG - Activity 57907: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,519 - acbm.assigning - DEBUG - Activity 57907: sampling based on floor area\n", - "2024-05-14 18:29:26,520 - acbm.assigning - DEBUG - Activity 58149: Initial number of options for activity = 113\n", - "2024-05-14 18:29:26,523 - acbm.assigning - DEBUG - Activity 58149: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:26,523 - acbm.assigning - DEBUG - Activity 58149: sampling based on floor area\n", - "2024-05-14 18:29:26,524 - acbm.assigning - DEBUG - Activity 58151: Initial number of options for activity = 113\n", - "2024-05-14 18:29:26,526 - acbm.assigning - DEBUG - Activity 58151: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:26,527 - acbm.assigning - DEBUG - Activity 58151: sampling based on floor area\n", - "2024-05-14 18:29:26,529 - acbm.assigning - DEBUG - Activity 58153: Initial number of options for activity = 113\n", - "2024-05-14 18:29:26,530 - acbm.assigning - DEBUG - Activity 58153: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:26,531 - acbm.assigning - DEBUG - Activity 58153: sampling based on floor area\n", - "2024-05-14 18:29:26,532 - acbm.assigning - DEBUG - Activity 58155: Initial number of options for activity = 113\n", - "2024-05-14 18:29:26,534 - acbm.assigning - DEBUG - Activity 58155: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:26,535 - acbm.assigning - DEBUG - Activity 58155: sampling based on floor area\n", - "2024-05-14 18:29:26,536 - acbm.assigning - DEBUG - Activity 58208: Initial number of options for activity = 101\n", - "2024-05-14 18:29:26,539 - acbm.assigning - DEBUG - Activity 58208: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:26,539 - acbm.assigning - DEBUG - Activity 58208: sampling based on floor area\n", - "2024-05-14 18:29:26,541 - acbm.assigning - DEBUG - Activity 58210: Initial number of options for activity = 101\n", - "2024-05-14 18:29:26,544 - acbm.assigning - DEBUG - Activity 58210: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:26,545 - acbm.assigning - DEBUG - Activity 58210: sampling based on floor area\n", - "2024-05-14 18:29:26,546 - acbm.assigning - DEBUG - Activity 58212: Initial number of options for activity = 101\n", - "2024-05-14 18:29:26,548 - acbm.assigning - DEBUG - Activity 58212: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:26,548 - acbm.assigning - DEBUG - Activity 58212: sampling based on floor area\n", - "2024-05-14 18:29:26,549 - acbm.assigning - DEBUG - Activity 58214: Initial number of options for activity = 101\n", - "2024-05-14 18:29:26,551 - acbm.assigning - DEBUG - Activity 58214: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:26,552 - acbm.assigning - DEBUG - Activity 58214: sampling based on floor area\n", - "2024-05-14 18:29:26,553 - acbm.assigning - DEBUG - Activity 58260: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,555 - acbm.assigning - DEBUG - Activity 58260: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,556 - acbm.assigning - DEBUG - Activity 58260: sampling based on floor area\n", - "2024-05-14 18:29:26,557 - acbm.assigning - DEBUG - Activity 58262: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,559 - acbm.assigning - DEBUG - Activity 58262: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,560 - acbm.assigning - DEBUG - Activity 58262: sampling based on floor area\n", - "2024-05-14 18:29:26,561 - acbm.assigning - DEBUG - Activity 58266: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,563 - acbm.assigning - DEBUG - Activity 58266: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,564 - acbm.assigning - DEBUG - Activity 58266: sampling based on floor area\n", - "2024-05-14 18:29:26,566 - acbm.assigning - DEBUG - Activity 58268: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,568 - acbm.assigning - DEBUG - Activity 58268: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,569 - acbm.assigning - DEBUG - Activity 58268: sampling based on floor area\n", - "2024-05-14 18:29:26,570 - acbm.assigning - DEBUG - Activity 58270: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,573 - acbm.assigning - DEBUG - Activity 58270: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,574 - acbm.assigning - DEBUG - Activity 58270: sampling based on floor area\n", - "2024-05-14 18:29:26,575 - acbm.assigning - DEBUG - Activity 58366: Initial number of options for activity = 70\n", - "2024-05-14 18:29:26,578 - acbm.assigning - DEBUG - Activity 58366: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:26,578 - acbm.assigning - DEBUG - Activity 58366: sampling based on floor area\n", - "2024-05-14 18:29:26,580 - acbm.assigning - DEBUG - Activity 58368: Initial number of options for activity = 70\n", - "2024-05-14 18:29:26,582 - acbm.assigning - DEBUG - Activity 58368: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:26,583 - acbm.assigning - DEBUG - Activity 58368: sampling based on floor area\n", - "2024-05-14 18:29:26,584 - acbm.assigning - DEBUG - Activity 58372: Initial number of options for activity = 70\n", - "2024-05-14 18:29:26,586 - acbm.assigning - DEBUG - Activity 58372: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:26,587 - acbm.assigning - DEBUG - Activity 58372: sampling based on floor area\n", - "2024-05-14 18:29:26,588 - acbm.assigning - DEBUG - Activity 58374: Initial number of options for activity = 70\n", - "2024-05-14 18:29:26,590 - acbm.assigning - DEBUG - Activity 58374: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:26,591 - acbm.assigning - DEBUG - Activity 58374: sampling based on floor area\n", - "2024-05-14 18:29:26,593 - acbm.assigning - DEBUG - Activity 58607: Initial number of options for activity = 42\n", - "2024-05-14 18:29:26,595 - acbm.assigning - DEBUG - Activity 58607: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:26,596 - acbm.assigning - DEBUG - Activity 58607: sampling based on floor area\n", - "2024-05-14 18:29:26,597 - acbm.assigning - DEBUG - Activity 58609: Initial number of options for activity = 42\n", - "2024-05-14 18:29:26,600 - acbm.assigning - DEBUG - Activity 58609: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:26,600 - acbm.assigning - DEBUG - Activity 58609: sampling based on floor area\n", - "2024-05-14 18:29:26,601 - acbm.assigning - DEBUG - Activity 58611: Initial number of options for activity = 42\n", - "2024-05-14 18:29:26,604 - acbm.assigning - DEBUG - Activity 58611: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:26,605 - acbm.assigning - DEBUG - Activity 58611: sampling based on floor area\n", - "2024-05-14 18:29:26,614 - acbm.assigning - DEBUG - Activity 58613: Initial number of options for activity = 42\n", - "2024-05-14 18:29:26,618 - acbm.assigning - DEBUG - Activity 58613: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:26,619 - acbm.assigning - DEBUG - Activity 58613: sampling based on floor area\n", - "2024-05-14 18:29:26,621 - acbm.assigning - DEBUG - Activity 58659: Initial number of options for activity = 2\n", - "2024-05-14 18:29:26,626 - acbm.assigning - DEBUG - Activity 58659: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:26,627 - acbm.assigning - DEBUG - Activity 58659: sampling based on floor area\n", - "2024-05-14 18:29:26,629 - acbm.assigning - DEBUG - Activity 58662: Initial number of options for activity = 2\n", - "2024-05-14 18:29:26,632 - acbm.assigning - DEBUG - Activity 58662: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:26,633 - acbm.assigning - DEBUG - Activity 58662: sampling based on floor area\n", - "2024-05-14 18:29:26,635 - acbm.assigning - DEBUG - Activity 58664: Initial number of options for activity = 2\n", - "2024-05-14 18:29:26,638 - acbm.assigning - DEBUG - Activity 58664: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:26,639 - acbm.assigning - DEBUG - Activity 58664: sampling based on floor area\n", - "2024-05-14 18:29:26,640 - acbm.assigning - DEBUG - Activity 58666: Initial number of options for activity = 2\n", - "2024-05-14 18:29:26,642 - acbm.assigning - DEBUG - Activity 58666: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:26,643 - acbm.assigning - DEBUG - Activity 58666: sampling based on floor area\n", - "2024-05-14 18:29:26,644 - acbm.assigning - DEBUG - Activity 58668: Initial number of options for activity = 2\n", - "2024-05-14 18:29:26,647 - acbm.assigning - DEBUG - Activity 58668: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:26,648 - acbm.assigning - DEBUG - Activity 58668: sampling based on floor area\n", - "2024-05-14 18:29:26,650 - acbm.assigning - DEBUG - Activity 58708: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,652 - acbm.assigning - DEBUG - Activity 58708: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,653 - acbm.assigning - DEBUG - Activity 58708: sampling based on floor area\n", - "2024-05-14 18:29:26,654 - acbm.assigning - DEBUG - Activity 58710: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,656 - acbm.assigning - DEBUG - Activity 58710: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,657 - acbm.assigning - DEBUG - Activity 58710: sampling based on floor area\n", - "2024-05-14 18:29:26,658 - acbm.assigning - DEBUG - Activity 58714: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,660 - acbm.assigning - DEBUG - Activity 58714: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,661 - acbm.assigning - DEBUG - Activity 58714: sampling based on floor area\n", - "2024-05-14 18:29:26,663 - acbm.assigning - DEBUG - Activity 58755: Initial number of options for activity = 96\n", - "2024-05-14 18:29:26,665 - acbm.assigning - DEBUG - Activity 58755: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:26,666 - acbm.assigning - DEBUG - Activity 58755: sampling based on floor area\n", - "2024-05-14 18:29:26,668 - acbm.assigning - DEBUG - Activity 58757: Initial number of options for activity = 96\n", - "2024-05-14 18:29:26,670 - acbm.assigning - DEBUG - Activity 58757: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:26,671 - acbm.assigning - DEBUG - Activity 58757: sampling based on floor area\n", - "2024-05-14 18:29:26,672 - acbm.assigning - DEBUG - Activity 58759: Initial number of options for activity = 96\n", - "2024-05-14 18:29:26,674 - acbm.assigning - DEBUG - Activity 58759: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:26,675 - acbm.assigning - DEBUG - Activity 58759: sampling based on floor area\n", - "2024-05-14 18:29:26,676 - acbm.assigning - DEBUG - Activity 58761: Initial number of options for activity = 96\n", - "2024-05-14 18:29:26,678 - acbm.assigning - DEBUG - Activity 58761: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:26,679 - acbm.assigning - DEBUG - Activity 58761: sampling based on floor area\n", - "2024-05-14 18:29:26,681 - acbm.assigning - DEBUG - Activity 58763: Initial number of options for activity = 96\n", - "2024-05-14 18:29:26,684 - acbm.assigning - DEBUG - Activity 58763: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:26,686 - acbm.assigning - DEBUG - Activity 58763: sampling based on floor area\n", - "2024-05-14 18:29:26,689 - acbm.assigning - DEBUG - Activity 58951: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,692 - acbm.assigning - DEBUG - Activity 58951: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,694 - acbm.assigning - DEBUG - Activity 58951: sampling based on floor area\n", - "2024-05-14 18:29:26,695 - acbm.assigning - DEBUG - Activity 58953: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,698 - acbm.assigning - DEBUG - Activity 58953: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,699 - acbm.assigning - DEBUG - Activity 58953: sampling based on floor area\n", - "2024-05-14 18:29:26,700 - acbm.assigning - DEBUG - Activity 58955: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,703 - acbm.assigning - DEBUG - Activity 58955: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,704 - acbm.assigning - DEBUG - Activity 58955: sampling based on floor area\n", - "2024-05-14 18:29:26,707 - acbm.assigning - DEBUG - Activity 58957: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,710 - acbm.assigning - DEBUG - Activity 58957: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,711 - acbm.assigning - DEBUG - Activity 58957: sampling based on floor area\n", - "2024-05-14 18:29:26,713 - acbm.assigning - DEBUG - Activity 58959: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,715 - acbm.assigning - DEBUG - Activity 58959: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,717 - acbm.assigning - DEBUG - Activity 58959: sampling based on floor area\n", - "2024-05-14 18:29:26,718 - acbm.assigning - DEBUG - Activity 58963: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,720 - acbm.assigning - DEBUG - Activity 58963: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,721 - acbm.assigning - DEBUG - Activity 58963: sampling based on floor area\n", - "2024-05-14 18:29:26,722 - acbm.assigning - DEBUG - Activity 58965: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,725 - acbm.assigning - DEBUG - Activity 58965: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,726 - acbm.assigning - DEBUG - Activity 58965: sampling based on floor area\n", - "2024-05-14 18:29:26,727 - acbm.assigning - DEBUG - Activity 58967: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,729 - acbm.assigning - DEBUG - Activity 58967: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,730 - acbm.assigning - DEBUG - Activity 58967: sampling based on floor area\n", - "2024-05-14 18:29:26,732 - acbm.assigning - DEBUG - Activity 58969: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,734 - acbm.assigning - DEBUG - Activity 58969: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,735 - acbm.assigning - DEBUG - Activity 58969: sampling based on floor area\n", - "2024-05-14 18:29:26,736 - acbm.assigning - DEBUG - Activity 58971: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,739 - acbm.assigning - DEBUG - Activity 58971: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,740 - acbm.assigning - DEBUG - Activity 58971: sampling based on floor area\n", - "2024-05-14 18:29:26,741 - acbm.assigning - DEBUG - Activity 58975: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,744 - acbm.assigning - DEBUG - Activity 58975: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,745 - acbm.assigning - DEBUG - Activity 58975: sampling based on floor area\n", - "2024-05-14 18:29:26,746 - acbm.assigning - DEBUG - Activity 58977: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,748 - acbm.assigning - DEBUG - Activity 58977: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,749 - acbm.assigning - DEBUG - Activity 58977: sampling based on floor area\n", - "2024-05-14 18:29:26,750 - acbm.assigning - DEBUG - Activity 58979: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,752 - acbm.assigning - DEBUG - Activity 58979: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,753 - acbm.assigning - DEBUG - Activity 58979: sampling based on floor area\n", - "2024-05-14 18:29:26,754 - acbm.assigning - DEBUG - Activity 58981: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,756 - acbm.assigning - DEBUG - Activity 58981: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,757 - acbm.assigning - DEBUG - Activity 58981: sampling based on floor area\n", - "2024-05-14 18:29:26,759 - acbm.assigning - DEBUG - Activity 58983: Initial number of options for activity = 3\n", - "2024-05-14 18:29:26,763 - acbm.assigning - DEBUG - Activity 58983: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:26,764 - acbm.assigning - DEBUG - Activity 58983: sampling based on floor area\n", - "2024-05-14 18:29:26,766 - acbm.assigning - INFO - Activity 59004: No zones available\n", - "2024-05-14 18:29:26,766 - acbm.assigning - DEBUG - Activity 59087: Initial number of options for activity = 16\n", - "2024-05-14 18:29:26,770 - acbm.assigning - DEBUG - Activity 59087: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:26,776 - acbm.assigning - DEBUG - Activity 59087: sampling based on floor area\n", - "2024-05-14 18:29:26,779 - acbm.assigning - DEBUG - Activity 59089: Initial number of options for activity = 17\n", - "2024-05-14 18:29:26,782 - acbm.assigning - DEBUG - Activity 59089: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:26,784 - acbm.assigning - DEBUG - Activity 59089: sampling based on floor area\n", - "2024-05-14 18:29:26,785 - acbm.assigning - DEBUG - Activity 59090: Initial number of options for activity = 16\n", - "2024-05-14 18:29:26,788 - acbm.assigning - DEBUG - Activity 59090: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:26,789 - acbm.assigning - DEBUG - Activity 59090: sampling based on floor area\n", - "2024-05-14 18:29:26,792 - acbm.assigning - DEBUG - Activity 59091: Initial number of options for activity = 16\n", - "2024-05-14 18:29:26,796 - acbm.assigning - DEBUG - Activity 59091: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:26,797 - acbm.assigning - DEBUG - Activity 59091: sampling based on floor area\n", - "2024-05-14 18:29:26,799 - acbm.assigning - DEBUG - Activity 59139: Initial number of options for activity = 107\n", - "2024-05-14 18:29:26,801 - acbm.assigning - DEBUG - Activity 59139: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:26,802 - acbm.assigning - DEBUG - Activity 59139: sampling based on floor area\n", - "2024-05-14 18:29:26,804 - acbm.assigning - DEBUG - Activity 59141: Initial number of options for activity = 107\n", - "2024-05-14 18:29:26,807 - acbm.assigning - DEBUG - Activity 59141: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:26,808 - acbm.assigning - DEBUG - Activity 59141: sampling based on floor area\n", - "2024-05-14 18:29:26,809 - acbm.assigning - DEBUG - Activity 59143: Initial number of options for activity = 107\n", - "2024-05-14 18:29:26,811 - acbm.assigning - DEBUG - Activity 59143: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:26,812 - acbm.assigning - DEBUG - Activity 59143: sampling based on floor area\n", - "2024-05-14 18:29:26,814 - acbm.assigning - DEBUG - Activity 59145: Initial number of options for activity = 107\n", - "2024-05-14 18:29:26,816 - acbm.assigning - DEBUG - Activity 59145: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:26,817 - acbm.assigning - DEBUG - Activity 59145: sampling based on floor area\n", - "2024-05-14 18:29:26,819 - acbm.assigning - DEBUG - Activity 59288: Initial number of options for activity = 12\n", - "2024-05-14 18:29:26,834 - acbm.assigning - DEBUG - Activity 59288: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:26,835 - acbm.assigning - DEBUG - Activity 59288: sampling based on floor area\n", - "2024-05-14 18:29:26,837 - acbm.assigning - DEBUG - Activity 59290: Initial number of options for activity = 10\n", - "2024-05-14 18:29:26,839 - acbm.assigning - DEBUG - Activity 59290: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:26,840 - acbm.assigning - DEBUG - Activity 59290: sampling based on floor area\n", - "2024-05-14 18:29:26,842 - acbm.assigning - DEBUG - Activity 59292: Initial number of options for activity = 10\n", - "2024-05-14 18:29:26,845 - acbm.assigning - DEBUG - Activity 59292: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:26,847 - acbm.assigning - DEBUG - Activity 59292: sampling based on floor area\n", - "2024-05-14 18:29:26,848 - acbm.assigning - DEBUG - Activity 59465: Initial number of options for activity = 95\n", - "2024-05-14 18:29:26,851 - acbm.assigning - DEBUG - Activity 59465: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:26,852 - acbm.assigning - DEBUG - Activity 59465: sampling based on floor area\n", - "2024-05-14 18:29:26,853 - acbm.assigning - DEBUG - Activity 59467: Initial number of options for activity = 95\n", - "2024-05-14 18:29:26,856 - acbm.assigning - DEBUG - Activity 59467: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:26,857 - acbm.assigning - DEBUG - Activity 59467: sampling based on floor area\n", - "2024-05-14 18:29:26,859 - acbm.assigning - DEBUG - Activity 59469: Initial number of options for activity = 95\n", - "2024-05-14 18:29:26,861 - acbm.assigning - DEBUG - Activity 59469: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:26,862 - acbm.assigning - DEBUG - Activity 59469: sampling based on floor area\n", - "2024-05-14 18:29:26,864 - acbm.assigning - DEBUG - Activity 59471: Initial number of options for activity = 95\n", - "2024-05-14 18:29:26,867 - acbm.assigning - DEBUG - Activity 59471: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:26,868 - acbm.assigning - DEBUG - Activity 59471: sampling based on floor area\n", - "2024-05-14 18:29:26,869 - acbm.assigning - DEBUG - Activity 59516: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,879 - acbm.assigning - DEBUG - Activity 59516: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,881 - acbm.assigning - DEBUG - Activity 59516: sampling based on floor area\n", - "2024-05-14 18:29:26,884 - acbm.assigning - DEBUG - Activity 59517: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,886 - acbm.assigning - DEBUG - Activity 59517: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,887 - acbm.assigning - DEBUG - Activity 59517: sampling based on floor area\n", - "2024-05-14 18:29:26,889 - acbm.assigning - DEBUG - Activity 59518: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,891 - acbm.assigning - DEBUG - Activity 59518: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,892 - acbm.assigning - DEBUG - Activity 59518: sampling based on floor area\n", - "2024-05-14 18:29:26,894 - acbm.assigning - DEBUG - Activity 59520: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,896 - acbm.assigning - DEBUG - Activity 59520: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,897 - acbm.assigning - DEBUG - Activity 59520: sampling based on floor area\n", - "2024-05-14 18:29:26,898 - acbm.assigning - DEBUG - Activity 59521: Initial number of options for activity = 1\n", - "2024-05-14 18:29:26,900 - acbm.assigning - DEBUG - Activity 59521: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:26,901 - acbm.assigning - DEBUG - Activity 59521: sampling based on floor area\n", - "2024-05-14 18:29:26,903 - acbm.assigning - DEBUG - Activity 59525: Initial number of options for activity = 14\n", - "2024-05-14 18:29:26,905 - acbm.assigning - DEBUG - Activity 59525: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:26,907 - acbm.assigning - DEBUG - Activity 59525: sampling based on floor area\n", - "2024-05-14 18:29:26,908 - acbm.assigning - DEBUG - Activity 59578: Initial number of options for activity = 102\n", - "2024-05-14 18:29:26,910 - acbm.assigning - DEBUG - Activity 59578: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:26,911 - acbm.assigning - DEBUG - Activity 59578: sampling based on floor area\n", - "2024-05-14 18:29:26,913 - acbm.assigning - DEBUG - Activity 59580: Initial number of options for activity = 8\n", - "2024-05-14 18:29:26,925 - acbm.assigning - DEBUG - Activity 59580: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:26,926 - acbm.assigning - DEBUG - Activity 59580: sampling based on floor area\n", - "2024-05-14 18:29:26,928 - acbm.assigning - DEBUG - Activity 59586: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,930 - acbm.assigning - DEBUG - Activity 59586: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,931 - acbm.assigning - DEBUG - Activity 59586: sampling based on floor area\n", - "2024-05-14 18:29:26,933 - acbm.assigning - DEBUG - Activity 59587: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,936 - acbm.assigning - DEBUG - Activity 59587: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,937 - acbm.assigning - DEBUG - Activity 59587: sampling based on floor area\n", - "2024-05-14 18:29:26,940 - acbm.assigning - DEBUG - Activity 59588: Initial number of options for activity = 4\n", - "2024-05-14 18:29:26,943 - acbm.assigning - DEBUG - Activity 59588: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:26,944 - acbm.assigning - DEBUG - Activity 59588: sampling based on floor area\n", - "2024-05-14 18:29:26,945 - acbm.assigning - INFO - Activity 59674: No zones available\n", - "2024-05-14 18:29:26,946 - acbm.assigning - DEBUG - Activity 59803: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,949 - acbm.assigning - DEBUG - Activity 59803: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,950 - acbm.assigning - DEBUG - Activity 59803: sampling based on floor area\n", - "2024-05-14 18:29:26,951 - acbm.assigning - DEBUG - Activity 59805: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,953 - acbm.assigning - DEBUG - Activity 59805: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,954 - acbm.assigning - DEBUG - Activity 59805: sampling based on floor area\n", - "2024-05-14 18:29:26,956 - acbm.assigning - DEBUG - Activity 59807: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,959 - acbm.assigning - DEBUG - Activity 59807: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,960 - acbm.assigning - DEBUG - Activity 59807: sampling based on floor area\n", - "2024-05-14 18:29:26,961 - acbm.assigning - DEBUG - Activity 59810: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,963 - acbm.assigning - DEBUG - Activity 59810: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,964 - acbm.assigning - DEBUG - Activity 59810: sampling based on floor area\n", - "2024-05-14 18:29:26,966 - acbm.assigning - DEBUG - Activity 59812: Initial number of options for activity = 41\n", - "2024-05-14 18:29:26,968 - acbm.assigning - DEBUG - Activity 59812: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:26,969 - acbm.assigning - DEBUG - Activity 59812: sampling based on floor area\n", - "2024-05-14 18:29:26,970 - acbm.assigning - DEBUG - Activity 59837: Initial number of options for activity = 16\n", - "2024-05-14 18:29:26,972 - acbm.assigning - DEBUG - Activity 59837: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:26,973 - acbm.assigning - DEBUG - Activity 59837: sampling based on floor area\n", - "2024-05-14 18:29:26,975 - acbm.assigning - DEBUG - Activity 59839: Initial number of options for activity = 11\n", - "2024-05-14 18:29:26,977 - acbm.assigning - DEBUG - Activity 59839: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:26,978 - acbm.assigning - DEBUG - Activity 59839: sampling based on floor area\n", - "2024-05-14 18:29:26,979 - acbm.assigning - DEBUG - Activity 59841: Initial number of options for activity = 11\n", - "2024-05-14 18:29:26,982 - acbm.assigning - DEBUG - Activity 59841: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:26,983 - acbm.assigning - DEBUG - Activity 59841: sampling based on floor area\n", - "2024-05-14 18:29:26,984 - acbm.assigning - DEBUG - Activity 60002: Initial number of options for activity = 43\n", - "2024-05-14 18:29:26,987 - acbm.assigning - DEBUG - Activity 60002: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:26,988 - acbm.assigning - DEBUG - Activity 60002: sampling based on floor area\n", - "2024-05-14 18:29:26,989 - acbm.assigning - DEBUG - Activity 60004: Initial number of options for activity = 43\n", - "2024-05-14 18:29:26,992 - acbm.assigning - DEBUG - Activity 60004: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:26,993 - acbm.assigning - DEBUG - Activity 60004: sampling based on floor area\n", - "2024-05-14 18:29:26,995 - acbm.assigning - DEBUG - Activity 60006: Initial number of options for activity = 43\n", - "2024-05-14 18:29:26,997 - acbm.assigning - DEBUG - Activity 60006: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:26,998 - acbm.assigning - DEBUG - Activity 60006: sampling based on floor area\n", - "2024-05-14 18:29:27,000 - acbm.assigning - DEBUG - Activity 60008: Initial number of options for activity = 43\n", - "2024-05-14 18:29:27,003 - acbm.assigning - DEBUG - Activity 60008: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:27,004 - acbm.assigning - DEBUG - Activity 60008: sampling based on floor area\n", - "2024-05-14 18:29:27,006 - acbm.assigning - DEBUG - Activity 60112: Initial number of options for activity = 95\n", - "2024-05-14 18:29:27,009 - acbm.assigning - DEBUG - Activity 60112: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:27,010 - acbm.assigning - DEBUG - Activity 60112: sampling based on floor area\n", - "2024-05-14 18:29:27,012 - acbm.assigning - DEBUG - Activity 60114: Initial number of options for activity = 95\n", - "2024-05-14 18:29:27,015 - acbm.assigning - DEBUG - Activity 60114: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:27,016 - acbm.assigning - DEBUG - Activity 60114: sampling based on floor area\n", - "2024-05-14 18:29:27,018 - acbm.assigning - DEBUG - Activity 60116: Initial number of options for activity = 95\n", - "2024-05-14 18:29:27,021 - acbm.assigning - DEBUG - Activity 60116: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:27,022 - acbm.assigning - DEBUG - Activity 60116: sampling based on floor area\n", - "2024-05-14 18:29:27,024 - acbm.assigning - DEBUG - Activity 60118: Initial number of options for activity = 95\n", - "2024-05-14 18:29:27,027 - acbm.assigning - DEBUG - Activity 60118: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:27,028 - acbm.assigning - DEBUG - Activity 60118: sampling based on floor area\n", - "2024-05-14 18:29:27,030 - acbm.assigning - DEBUG - Activity 60170: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,033 - acbm.assigning - DEBUG - Activity 60170: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,034 - acbm.assigning - DEBUG - Activity 60170: sampling based on floor area\n", - "2024-05-14 18:29:27,035 - acbm.assigning - DEBUG - Activity 60172: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,037 - acbm.assigning - DEBUG - Activity 60172: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,038 - acbm.assigning - DEBUG - Activity 60172: sampling based on floor area\n", - "2024-05-14 18:29:27,039 - acbm.assigning - DEBUG - Activity 60174: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,041 - acbm.assigning - DEBUG - Activity 60174: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,042 - acbm.assigning - DEBUG - Activity 60174: sampling based on floor area\n", - "2024-05-14 18:29:27,043 - acbm.assigning - DEBUG - Activity 60180: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,045 - acbm.assigning - DEBUG - Activity 60180: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,045 - acbm.assigning - DEBUG - Activity 60180: sampling based on floor area\n", - "2024-05-14 18:29:27,047 - acbm.assigning - DEBUG - Activity 60182: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,048 - acbm.assigning - DEBUG - Activity 60182: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,049 - acbm.assigning - DEBUG - Activity 60182: sampling based on floor area\n", - "2024-05-14 18:29:27,050 - acbm.assigning - DEBUG - Activity 60348: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,052 - acbm.assigning - DEBUG - Activity 60348: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,053 - acbm.assigning - DEBUG - Activity 60348: sampling based on floor area\n", - "2024-05-14 18:29:27,054 - acbm.assigning - DEBUG - Activity 60350: Initial number of options for activity = 76\n", - "2024-05-14 18:29:27,056 - acbm.assigning - DEBUG - Activity 60350: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:27,057 - acbm.assigning - DEBUG - Activity 60350: sampling based on floor area\n", - "2024-05-14 18:29:27,058 - acbm.assigning - DEBUG - Activity 60351: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,060 - acbm.assigning - DEBUG - Activity 60351: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,060 - acbm.assigning - DEBUG - Activity 60351: sampling based on floor area\n", - "2024-05-14 18:29:27,062 - acbm.assigning - DEBUG - Activity 60356: Initial number of options for activity = 136\n", - "2024-05-14 18:29:27,064 - acbm.assigning - DEBUG - Activity 60356: Number of options after filtering by education type: 136\n", - "2024-05-14 18:29:27,065 - acbm.assigning - DEBUG - Activity 60356: sampling based on floor area\n", - "2024-05-14 18:29:27,066 - acbm.assigning - DEBUG - Activity 60358: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,068 - acbm.assigning - DEBUG - Activity 60358: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,068 - acbm.assigning - DEBUG - Activity 60358: sampling based on floor area\n", - "2024-05-14 18:29:27,069 - acbm.assigning - DEBUG - Activity 60366: Initial number of options for activity = 38\n", - "2024-05-14 18:29:27,071 - acbm.assigning - DEBUG - Activity 60366: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:27,072 - acbm.assigning - DEBUG - Activity 60366: sampling based on floor area\n", - "2024-05-14 18:29:27,073 - acbm.assigning - DEBUG - Activity 60370: Initial number of options for activity = 30\n", - "2024-05-14 18:29:27,074 - acbm.assigning - DEBUG - Activity 60370: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:27,075 - acbm.assigning - DEBUG - Activity 60370: sampling based on floor area\n", - "2024-05-14 18:29:27,077 - acbm.assigning - DEBUG - Activity 60372: Initial number of options for activity = 39\n", - "2024-05-14 18:29:27,079 - acbm.assigning - DEBUG - Activity 60372: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:27,080 - acbm.assigning - DEBUG - Activity 60372: sampling based on floor area\n", - "2024-05-14 18:29:27,082 - acbm.assigning - DEBUG - Activity 60373: Initial number of options for activity = 39\n", - "2024-05-14 18:29:27,084 - acbm.assigning - DEBUG - Activity 60373: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:27,084 - acbm.assigning - DEBUG - Activity 60373: sampling based on floor area\n", - "2024-05-14 18:29:27,085 - acbm.assigning - DEBUG - Activity 60374: Initial number of options for activity = 39\n", - "2024-05-14 18:29:27,087 - acbm.assigning - DEBUG - Activity 60374: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:27,088 - acbm.assigning - DEBUG - Activity 60374: sampling based on floor area\n", - "2024-05-14 18:29:27,089 - acbm.assigning - DEBUG - Activity 60418: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,092 - acbm.assigning - DEBUG - Activity 60418: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,093 - acbm.assigning - DEBUG - Activity 60418: sampling based on floor area\n", - "2024-05-14 18:29:27,094 - acbm.assigning - DEBUG - Activity 60420: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,097 - acbm.assigning - DEBUG - Activity 60420: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,098 - acbm.assigning - DEBUG - Activity 60420: sampling based on floor area\n", - "2024-05-14 18:29:27,099 - acbm.assigning - DEBUG - Activity 60424: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,102 - acbm.assigning - DEBUG - Activity 60424: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,102 - acbm.assigning - DEBUG - Activity 60424: sampling based on floor area\n", - "2024-05-14 18:29:27,104 - acbm.assigning - DEBUG - Activity 60426: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,106 - acbm.assigning - DEBUG - Activity 60426: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,107 - acbm.assigning - DEBUG - Activity 60426: sampling based on floor area\n", - "2024-05-14 18:29:27,108 - acbm.assigning - DEBUG - Activity 60428: Initial number of options for activity = 102\n", - "2024-05-14 18:29:27,109 - acbm.assigning - DEBUG - Activity 60428: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:27,110 - acbm.assigning - DEBUG - Activity 60428: sampling based on floor area\n", - "2024-05-14 18:29:27,111 - acbm.assigning - DEBUG - Activity 60473: Initial number of options for activity = 40\n", - "2024-05-14 18:29:27,113 - acbm.assigning - DEBUG - Activity 60473: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:27,114 - acbm.assigning - DEBUG - Activity 60473: sampling based on floor area\n", - "2024-05-14 18:29:27,115 - acbm.assigning - DEBUG - Activity 60475: Initial number of options for activity = 40\n", - "2024-05-14 18:29:27,118 - acbm.assigning - DEBUG - Activity 60475: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:27,119 - acbm.assigning - DEBUG - Activity 60475: sampling based on floor area\n", - "2024-05-14 18:29:27,120 - acbm.assigning - DEBUG - Activity 60477: Initial number of options for activity = 40\n", - "2024-05-14 18:29:27,122 - acbm.assigning - DEBUG - Activity 60477: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:27,123 - acbm.assigning - DEBUG - Activity 60477: sampling based on floor area\n", - "2024-05-14 18:29:27,125 - acbm.assigning - DEBUG - Activity 60479: Initial number of options for activity = 40\n", - "2024-05-14 18:29:27,128 - acbm.assigning - DEBUG - Activity 60479: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:27,129 - acbm.assigning - DEBUG - Activity 60479: sampling based on floor area\n", - "2024-05-14 18:29:27,130 - acbm.assigning - DEBUG - Activity 60595: Initial number of options for activity = 27\n", - "2024-05-14 18:29:27,133 - acbm.assigning - DEBUG - Activity 60595: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:27,134 - acbm.assigning - DEBUG - Activity 60595: sampling based on floor area\n", - "2024-05-14 18:29:27,135 - acbm.assigning - DEBUG - Activity 60597: Initial number of options for activity = 47\n", - "2024-05-14 18:29:27,137 - acbm.assigning - DEBUG - Activity 60597: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:27,138 - acbm.assigning - DEBUG - Activity 60597: sampling based on floor area\n", - "2024-05-14 18:29:27,139 - acbm.assigning - DEBUG - Activity 60599: Initial number of options for activity = 27\n", - "2024-05-14 18:29:27,142 - acbm.assigning - DEBUG - Activity 60599: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:27,143 - acbm.assigning - DEBUG - Activity 60599: sampling based on floor area\n", - "2024-05-14 18:29:27,144 - acbm.assigning - DEBUG - Activity 60601: Initial number of options for activity = 27\n", - "2024-05-14 18:29:27,147 - acbm.assigning - DEBUG - Activity 60601: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:27,147 - acbm.assigning - DEBUG - Activity 60601: sampling based on floor area\n", - "2024-05-14 18:29:27,149 - acbm.assigning - DEBUG - Activity 60603: Initial number of options for activity = 27\n", - "2024-05-14 18:29:27,151 - acbm.assigning - DEBUG - Activity 60603: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:27,151 - acbm.assigning - DEBUG - Activity 60603: sampling based on floor area\n", - "2024-05-14 18:29:27,153 - acbm.assigning - DEBUG - Activity 60680: Initial number of options for activity = 122\n", - "2024-05-14 18:29:27,155 - acbm.assigning - DEBUG - Activity 60680: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:27,155 - acbm.assigning - DEBUG - Activity 60680: sampling based on floor area\n", - "2024-05-14 18:29:27,156 - acbm.assigning - DEBUG - Activity 60682: Initial number of options for activity = 122\n", - "2024-05-14 18:29:27,159 - acbm.assigning - DEBUG - Activity 60682: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:27,159 - acbm.assigning - DEBUG - Activity 60682: sampling based on floor area\n", - "2024-05-14 18:29:27,160 - acbm.assigning - DEBUG - Activity 60684: Initial number of options for activity = 122\n", - "2024-05-14 18:29:27,162 - acbm.assigning - DEBUG - Activity 60684: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:27,164 - acbm.assigning - DEBUG - Activity 60684: sampling based on floor area\n", - "2024-05-14 18:29:27,165 - acbm.assigning - DEBUG - Activity 60686: Initial number of options for activity = 122\n", - "2024-05-14 18:29:27,169 - acbm.assigning - DEBUG - Activity 60686: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:27,177 - acbm.assigning - DEBUG - Activity 60686: sampling based on floor area\n", - "2024-05-14 18:29:27,179 - acbm.assigning - INFO - Activity 60752: No zones available\n", - "2024-05-14 18:29:27,181 - acbm.assigning - DEBUG - Activity 60771: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,183 - acbm.assigning - DEBUG - Activity 60771: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,184 - acbm.assigning - DEBUG - Activity 60771: sampling based on floor area\n", - "2024-05-14 18:29:27,186 - acbm.assigning - DEBUG - Activity 60772: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,188 - acbm.assigning - DEBUG - Activity 60772: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,189 - acbm.assigning - DEBUG - Activity 60772: sampling based on floor area\n", - "2024-05-14 18:29:27,191 - acbm.assigning - DEBUG - Activity 60773: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,193 - acbm.assigning - DEBUG - Activity 60773: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,199 - acbm.assigning - DEBUG - Activity 60773: sampling based on floor area\n", - "2024-05-14 18:29:27,202 - acbm.assigning - DEBUG - Activity 60811: Initial number of options for activity = 3\n", - "2024-05-14 18:29:27,206 - acbm.assigning - DEBUG - Activity 60811: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:27,207 - acbm.assigning - DEBUG - Activity 60811: sampling based on floor area\n", - "2024-05-14 18:29:27,209 - acbm.assigning - DEBUG - Activity 60813: Initial number of options for activity = 3\n", - "2024-05-14 18:29:27,212 - acbm.assigning - DEBUG - Activity 60813: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:27,213 - acbm.assigning - DEBUG - Activity 60813: sampling based on floor area\n", - "2024-05-14 18:29:27,215 - acbm.assigning - DEBUG - Activity 60815: Initial number of options for activity = 3\n", - "2024-05-14 18:29:27,218 - acbm.assigning - DEBUG - Activity 60815: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:27,219 - acbm.assigning - DEBUG - Activity 60815: sampling based on floor area\n", - "2024-05-14 18:29:27,221 - acbm.assigning - INFO - Activity 60916: No zones available\n", - "2024-05-14 18:29:27,222 - acbm.assigning - INFO - Activity 60918: No zones available\n", - "2024-05-14 18:29:27,223 - acbm.assigning - INFO - Activity 60920: No zones available\n", - "2024-05-14 18:29:27,224 - acbm.assigning - INFO - Activity 60922: No zones available\n", - "2024-05-14 18:29:27,225 - acbm.assigning - INFO - Activity 60924: No zones available\n", - "2024-05-14 18:29:27,225 - acbm.assigning - DEBUG - Activity 61138: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,228 - acbm.assigning - DEBUG - Activity 61138: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,229 - acbm.assigning - DEBUG - Activity 61138: sampling based on floor area\n", - "2024-05-14 18:29:27,231 - acbm.assigning - DEBUG - Activity 61140: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,234 - acbm.assigning - DEBUG - Activity 61140: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,235 - acbm.assigning - DEBUG - Activity 61140: sampling based on floor area\n", - "2024-05-14 18:29:27,237 - acbm.assigning - INFO - Activity 61335: No zones available\n", - "2024-05-14 18:29:27,237 - acbm.assigning - DEBUG - Activity 61843: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,244 - acbm.assigning - DEBUG - Activity 61843: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,245 - acbm.assigning - DEBUG - Activity 61843: sampling based on floor area\n", - "2024-05-14 18:29:27,246 - acbm.assigning - DEBUG - Activity 61845: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,249 - acbm.assigning - DEBUG - Activity 61845: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,251 - acbm.assigning - DEBUG - Activity 61845: sampling based on floor area\n", - "2024-05-14 18:29:27,252 - acbm.assigning - DEBUG - Activity 61847: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,255 - acbm.assigning - DEBUG - Activity 61847: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,257 - acbm.assigning - DEBUG - Activity 61847: sampling based on floor area\n", - "2024-05-14 18:29:27,258 - acbm.assigning - DEBUG - Activity 61849: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,260 - acbm.assigning - DEBUG - Activity 61849: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,270 - acbm.assigning - DEBUG - Activity 61849: sampling based on floor area\n", - "2024-05-14 18:29:27,271 - acbm.assigning - DEBUG - Activity 61851: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,275 - acbm.assigning - DEBUG - Activity 61851: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,276 - acbm.assigning - DEBUG - Activity 61851: sampling based on floor area\n", - "2024-05-14 18:29:27,277 - acbm.assigning - DEBUG - Activity 61903: Initial number of options for activity = 94\n", - "2024-05-14 18:29:27,281 - acbm.assigning - DEBUG - Activity 61903: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:27,282 - acbm.assigning - DEBUG - Activity 61903: sampling based on floor area\n", - "2024-05-14 18:29:27,290 - acbm.assigning - DEBUG - Activity 61905: Initial number of options for activity = 64\n", - "2024-05-14 18:29:27,301 - acbm.assigning - DEBUG - Activity 61905: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:27,302 - acbm.assigning - DEBUG - Activity 61905: sampling based on floor area\n", - "2024-05-14 18:29:27,304 - acbm.assigning - DEBUG - Activity 61906: Initial number of options for activity = 94\n", - "2024-05-14 18:29:27,307 - acbm.assigning - DEBUG - Activity 61906: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:27,308 - acbm.assigning - DEBUG - Activity 61906: sampling based on floor area\n", - "2024-05-14 18:29:27,312 - acbm.assigning - DEBUG - Activity 61911: Initial number of options for activity = 156\n", - "2024-05-14 18:29:27,315 - acbm.assigning - DEBUG - Activity 61911: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:27,317 - acbm.assigning - DEBUG - Activity 61911: sampling based on floor area\n", - "2024-05-14 18:29:27,318 - acbm.assigning - DEBUG - Activity 61913: Initial number of options for activity = 94\n", - "2024-05-14 18:29:27,322 - acbm.assigning - DEBUG - Activity 61913: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:27,323 - acbm.assigning - DEBUG - Activity 61913: sampling based on floor area\n", - "2024-05-14 18:29:27,324 - acbm.assigning - DEBUG - Activity 61921: Initial number of options for activity = 60\n", - "2024-05-14 18:29:27,327 - acbm.assigning - DEBUG - Activity 61921: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:27,328 - acbm.assigning - DEBUG - Activity 61921: sampling based on floor area\n", - "2024-05-14 18:29:27,329 - acbm.assigning - DEBUG - Activity 61925: Initial number of options for activity = 22\n", - "2024-05-14 18:29:27,333 - acbm.assigning - DEBUG - Activity 61925: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:27,334 - acbm.assigning - DEBUG - Activity 61925: sampling based on floor area\n", - "2024-05-14 18:29:27,338 - acbm.assigning - DEBUG - Activity 61927: Initial number of options for activity = 39\n", - "2024-05-14 18:29:27,342 - acbm.assigning - DEBUG - Activity 61927: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:27,343 - acbm.assigning - DEBUG - Activity 61927: sampling based on floor area\n", - "2024-05-14 18:29:27,346 - acbm.assigning - DEBUG - Activity 61928: Initial number of options for activity = 39\n", - "2024-05-14 18:29:27,349 - acbm.assigning - DEBUG - Activity 61928: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:27,350 - acbm.assigning - DEBUG - Activity 61928: sampling based on floor area\n", - "2024-05-14 18:29:27,354 - acbm.assigning - DEBUG - Activity 61929: Initial number of options for activity = 39\n", - "2024-05-14 18:29:27,357 - acbm.assigning - DEBUG - Activity 61929: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:27,358 - acbm.assigning - DEBUG - Activity 61929: sampling based on floor area\n", - "2024-05-14 18:29:27,360 - acbm.assigning - DEBUG - Activity 62328: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,362 - acbm.assigning - DEBUG - Activity 62328: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,363 - acbm.assigning - DEBUG - Activity 62328: sampling based on floor area\n", - "2024-05-14 18:29:27,364 - acbm.assigning - DEBUG - Activity 62329: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,366 - acbm.assigning - DEBUG - Activity 62329: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,367 - acbm.assigning - DEBUG - Activity 62329: sampling based on floor area\n", - "2024-05-14 18:29:27,368 - acbm.assigning - DEBUG - Activity 62333: Initial number of options for activity = 11\n", - "2024-05-14 18:29:27,370 - acbm.assigning - DEBUG - Activity 62333: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:27,372 - acbm.assigning - DEBUG - Activity 62333: sampling based on floor area\n", - "2024-05-14 18:29:27,373 - acbm.assigning - DEBUG - Activity 62334: Initial number of options for activity = 11\n", - "2024-05-14 18:29:27,375 - acbm.assigning - DEBUG - Activity 62334: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:27,376 - acbm.assigning - DEBUG - Activity 62334: sampling based on floor area\n", - "2024-05-14 18:29:27,378 - acbm.assigning - DEBUG - Activity 62336: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,380 - acbm.assigning - DEBUG - Activity 62336: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,381 - acbm.assigning - DEBUG - Activity 62336: sampling based on floor area\n", - "2024-05-14 18:29:27,383 - acbm.assigning - DEBUG - Activity 62419: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,385 - acbm.assigning - DEBUG - Activity 62419: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,386 - acbm.assigning - DEBUG - Activity 62419: sampling based on floor area\n", - "2024-05-14 18:29:27,387 - acbm.assigning - DEBUG - Activity 62482: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,390 - acbm.assigning - DEBUG - Activity 62482: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,392 - acbm.assigning - DEBUG - Activity 62482: sampling based on floor area\n", - "2024-05-14 18:29:27,393 - acbm.assigning - DEBUG - Activity 62488: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,396 - acbm.assigning - DEBUG - Activity 62488: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,397 - acbm.assigning - DEBUG - Activity 62488: sampling based on floor area\n", - "2024-05-14 18:29:27,398 - acbm.assigning - DEBUG - Activity 62492: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,401 - acbm.assigning - DEBUG - Activity 62492: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,402 - acbm.assigning - DEBUG - Activity 62492: sampling based on floor area\n", - "2024-05-14 18:29:27,404 - acbm.assigning - DEBUG - Activity 62495: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,407 - acbm.assigning - DEBUG - Activity 62495: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,408 - acbm.assigning - DEBUG - Activity 62495: sampling based on floor area\n", - "2024-05-14 18:29:27,409 - acbm.assigning - DEBUG - Activity 62500: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,412 - acbm.assigning - DEBUG - Activity 62500: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,413 - acbm.assigning - DEBUG - Activity 62500: sampling based on floor area\n", - "2024-05-14 18:29:27,414 - acbm.assigning - DEBUG - Activity 62925: Initial number of options for activity = 17\n", - "2024-05-14 18:29:27,417 - acbm.assigning - DEBUG - Activity 62925: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:27,418 - acbm.assigning - DEBUG - Activity 62925: sampling based on floor area\n", - "2024-05-14 18:29:27,419 - acbm.assigning - DEBUG - Activity 62932: Initial number of options for activity = 17\n", - "2024-05-14 18:29:27,422 - acbm.assigning - DEBUG - Activity 62932: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:27,422 - acbm.assigning - DEBUG - Activity 62932: sampling based on floor area\n", - "2024-05-14 18:29:27,424 - acbm.assigning - DEBUG - Activity 62936: Initial number of options for activity = 17\n", - "2024-05-14 18:29:27,426 - acbm.assigning - DEBUG - Activity 62936: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:27,426 - acbm.assigning - DEBUG - Activity 62936: sampling based on floor area\n", - "2024-05-14 18:29:27,427 - acbm.assigning - DEBUG - Activity 62938: Initial number of options for activity = 17\n", - "2024-05-14 18:29:27,429 - acbm.assigning - DEBUG - Activity 62938: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:27,430 - acbm.assigning - DEBUG - Activity 62938: sampling based on floor area\n", - "2024-05-14 18:29:27,431 - acbm.assigning - DEBUG - Activity 63513: Initial number of options for activity = 2\n", - "2024-05-14 18:29:27,432 - acbm.assigning - DEBUG - Activity 63513: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:27,433 - acbm.assigning - DEBUG - Activity 63513: sampling based on floor area\n", - "2024-05-14 18:29:27,434 - acbm.assigning - DEBUG - Activity 63522: Initial number of options for activity = 2\n", - "2024-05-14 18:29:27,436 - acbm.assigning - DEBUG - Activity 63522: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:27,436 - acbm.assigning - DEBUG - Activity 63522: sampling based on floor area\n", - "2024-05-14 18:29:27,438 - acbm.assigning - DEBUG - Activity 63527: Initial number of options for activity = 2\n", - "2024-05-14 18:29:27,439 - acbm.assigning - DEBUG - Activity 63527: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:27,440 - acbm.assigning - DEBUG - Activity 63527: sampling based on floor area\n", - "2024-05-14 18:29:27,441 - acbm.assigning - DEBUG - Activity 63528: Initial number of options for activity = 2\n", - "2024-05-14 18:29:27,443 - acbm.assigning - DEBUG - Activity 63528: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:27,444 - acbm.assigning - DEBUG - Activity 63528: sampling based on floor area\n", - "2024-05-14 18:29:27,445 - acbm.assigning - DEBUG - Activity 63532: Initial number of options for activity = 2\n", - "2024-05-14 18:29:27,446 - acbm.assigning - DEBUG - Activity 63532: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:27,446 - acbm.assigning - DEBUG - Activity 63532: sampling based on floor area\n", - "2024-05-14 18:29:27,447 - acbm.assigning - DEBUG - Activity 63588: Initial number of options for activity = 7\n", - "2024-05-14 18:29:27,449 - acbm.assigning - DEBUG - Activity 63588: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:27,450 - acbm.assigning - DEBUG - Activity 63588: sampling based on floor area\n", - "2024-05-14 18:29:27,451 - acbm.assigning - DEBUG - Activity 63591: Initial number of options for activity = 7\n", - "2024-05-14 18:29:27,453 - acbm.assigning - DEBUG - Activity 63591: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:27,453 - acbm.assigning - DEBUG - Activity 63591: sampling based on floor area\n", - "2024-05-14 18:29:27,454 - acbm.assigning - DEBUG - Activity 63593: Initial number of options for activity = 4\n", - "2024-05-14 18:29:27,457 - acbm.assigning - DEBUG - Activity 63593: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:27,457 - acbm.assigning - DEBUG - Activity 63593: sampling based on floor area\n", - "2024-05-14 18:29:27,459 - acbm.assigning - DEBUG - Activity 63595: Initial number of options for activity = 2\n", - "2024-05-14 18:29:27,460 - acbm.assigning - DEBUG - Activity 63595: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:27,461 - acbm.assigning - DEBUG - Activity 63595: sampling based on floor area\n", - "2024-05-14 18:29:27,461 - acbm.assigning - DEBUG - Activity 63599: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,463 - acbm.assigning - DEBUG - Activity 63599: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,463 - acbm.assigning - DEBUG - Activity 63599: sampling based on floor area\n", - "2024-05-14 18:29:27,464 - acbm.assigning - DEBUG - Activity 63713: Initial number of options for activity = 61\n", - "2024-05-14 18:29:27,465 - acbm.assigning - DEBUG - Activity 63713: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:27,466 - acbm.assigning - DEBUG - Activity 63713: sampling based on floor area\n", - "2024-05-14 18:29:27,467 - acbm.assigning - DEBUG - Activity 63731: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,468 - acbm.assigning - DEBUG - Activity 63731: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,469 - acbm.assigning - DEBUG - Activity 63731: sampling based on floor area\n", - "2024-05-14 18:29:27,470 - acbm.assigning - DEBUG - Activity 63821: Initial number of options for activity = 61\n", - "2024-05-14 18:29:27,472 - acbm.assigning - DEBUG - Activity 63821: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:27,472 - acbm.assigning - DEBUG - Activity 63821: sampling based on floor area\n", - "2024-05-14 18:29:27,474 - acbm.assigning - DEBUG - Activity 63823: Initial number of options for activity = 61\n", - "2024-05-14 18:29:27,476 - acbm.assigning - DEBUG - Activity 63823: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:27,476 - acbm.assigning - DEBUG - Activity 63823: sampling based on floor area\n", - "2024-05-14 18:29:27,477 - acbm.assigning - DEBUG - Activity 63825: Initial number of options for activity = 61\n", - "2024-05-14 18:29:27,479 - acbm.assigning - DEBUG - Activity 63825: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:27,480 - acbm.assigning - DEBUG - Activity 63825: sampling based on floor area\n", - "2024-05-14 18:29:27,481 - acbm.assigning - DEBUG - Activity 63827: Initial number of options for activity = 61\n", - "2024-05-14 18:29:27,483 - acbm.assigning - DEBUG - Activity 63827: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:27,484 - acbm.assigning - DEBUG - Activity 63827: sampling based on floor area\n", - "2024-05-14 18:29:27,485 - acbm.assigning - DEBUG - Activity 63863: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,487 - acbm.assigning - DEBUG - Activity 63863: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,488 - acbm.assigning - DEBUG - Activity 63863: sampling based on floor area\n", - "2024-05-14 18:29:27,489 - acbm.assigning - DEBUG - Activity 63866: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,491 - acbm.assigning - DEBUG - Activity 63866: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,492 - acbm.assigning - DEBUG - Activity 63866: sampling based on floor area\n", - "2024-05-14 18:29:27,493 - acbm.assigning - DEBUG - Activity 63869: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,495 - acbm.assigning - DEBUG - Activity 63869: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,495 - acbm.assigning - DEBUG - Activity 63869: sampling based on floor area\n", - "2024-05-14 18:29:27,497 - acbm.assigning - DEBUG - Activity 63872: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,498 - acbm.assigning - DEBUG - Activity 63872: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,499 - acbm.assigning - DEBUG - Activity 63872: sampling based on floor area\n", - "2024-05-14 18:29:27,500 - acbm.assigning - DEBUG - Activity 63874: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,502 - acbm.assigning - DEBUG - Activity 63874: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,502 - acbm.assigning - DEBUG - Activity 63874: sampling based on floor area\n", - "2024-05-14 18:29:27,503 - acbm.assigning - DEBUG - Activity 64016: Initial number of options for activity = 121\n", - "2024-05-14 18:29:27,504 - acbm.assigning - DEBUG - Activity 64016: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:27,505 - acbm.assigning - DEBUG - Activity 64016: sampling based on floor area\n", - "2024-05-14 18:29:27,506 - acbm.assigning - DEBUG - Activity 64036: Initial number of options for activity = 43\n", - "2024-05-14 18:29:27,507 - acbm.assigning - DEBUG - Activity 64036: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:27,508 - acbm.assigning - DEBUG - Activity 64036: sampling based on floor area\n", - "2024-05-14 18:29:27,509 - acbm.assigning - DEBUG - Activity 64068: Initial number of options for activity = 120\n", - "2024-05-14 18:29:27,510 - acbm.assigning - DEBUG - Activity 64068: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:27,511 - acbm.assigning - DEBUG - Activity 64068: sampling based on floor area\n", - "2024-05-14 18:29:27,512 - acbm.assigning - DEBUG - Activity 64070: Initial number of options for activity = 182\n", - "2024-05-14 18:29:27,514 - acbm.assigning - DEBUG - Activity 64070: Number of options after filtering by education type: 182\n", - "2024-05-14 18:29:27,515 - acbm.assigning - DEBUG - Activity 64070: sampling based on floor area\n", - "2024-05-14 18:29:27,516 - acbm.assigning - DEBUG - Activity 64072: Initial number of options for activity = 120\n", - "2024-05-14 18:29:27,518 - acbm.assigning - DEBUG - Activity 64072: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:27,519 - acbm.assigning - DEBUG - Activity 64072: sampling based on floor area\n", - "2024-05-14 18:29:27,520 - acbm.assigning - DEBUG - Activity 64079: Initial number of options for activity = 120\n", - "2024-05-14 18:29:27,522 - acbm.assigning - DEBUG - Activity 64079: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:27,523 - acbm.assigning - DEBUG - Activity 64079: sampling based on floor area\n", - "2024-05-14 18:29:27,524 - acbm.assigning - DEBUG - Activity 64081: Initial number of options for activity = 120\n", - "2024-05-14 18:29:27,527 - acbm.assigning - DEBUG - Activity 64081: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:27,527 - acbm.assigning - DEBUG - Activity 64081: sampling based on floor area\n", - "2024-05-14 18:29:27,528 - acbm.assigning - DEBUG - Activity 64485: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,530 - acbm.assigning - DEBUG - Activity 64485: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,531 - acbm.assigning - DEBUG - Activity 64485: sampling based on floor area\n", - "2024-05-14 18:29:27,532 - acbm.assigning - DEBUG - Activity 64489: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,533 - acbm.assigning - DEBUG - Activity 64489: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,534 - acbm.assigning - DEBUG - Activity 64489: sampling based on floor area\n", - "2024-05-14 18:29:27,534 - acbm.assigning - DEBUG - Activity 64491: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,536 - acbm.assigning - DEBUG - Activity 64491: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,537 - acbm.assigning - DEBUG - Activity 64491: sampling based on floor area\n", - "2024-05-14 18:29:27,537 - acbm.assigning - DEBUG - Activity 64497: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,539 - acbm.assigning - DEBUG - Activity 64497: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,540 - acbm.assigning - DEBUG - Activity 64497: sampling based on floor area\n", - "2024-05-14 18:29:27,541 - acbm.assigning - DEBUG - Activity 64502: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,542 - acbm.assigning - DEBUG - Activity 64502: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,542 - acbm.assigning - DEBUG - Activity 64502: sampling based on floor area\n", - "2024-05-14 18:29:27,543 - acbm.assigning - DEBUG - Activity 64671: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,545 - acbm.assigning - DEBUG - Activity 64671: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,545 - acbm.assigning - DEBUG - Activity 64671: sampling based on floor area\n", - "2024-05-14 18:29:27,546 - acbm.assigning - DEBUG - Activity 64672: Initial number of options for activity = 67\n", - "2024-05-14 18:29:27,548 - acbm.assigning - DEBUG - Activity 64672: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:27,549 - acbm.assigning - DEBUG - Activity 64672: sampling based on floor area\n", - "2024-05-14 18:29:27,550 - acbm.assigning - DEBUG - Activity 64676: Initial number of options for activity = 21\n", - "2024-05-14 18:29:27,551 - acbm.assigning - DEBUG - Activity 64676: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:27,552 - acbm.assigning - DEBUG - Activity 64676: sampling based on floor area\n", - "2024-05-14 18:29:27,553 - acbm.assigning - DEBUG - Activity 64677: Initial number of options for activity = 21\n", - "2024-05-14 18:29:27,554 - acbm.assigning - DEBUG - Activity 64677: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:27,555 - acbm.assigning - DEBUG - Activity 64677: sampling based on floor area\n", - "2024-05-14 18:29:27,556 - acbm.assigning - DEBUG - Activity 64679: Initial number of options for activity = 67\n", - "2024-05-14 18:29:27,557 - acbm.assigning - DEBUG - Activity 64679: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:27,558 - acbm.assigning - DEBUG - Activity 64679: sampling based on floor area\n", - "2024-05-14 18:29:27,559 - acbm.assigning - DEBUG - Activity 64702: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,560 - acbm.assigning - DEBUG - Activity 64702: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,561 - acbm.assigning - DEBUG - Activity 64702: sampling based on floor area\n", - "2024-05-14 18:29:27,562 - acbm.assigning - DEBUG - Activity 64706: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,564 - acbm.assigning - DEBUG - Activity 64706: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,564 - acbm.assigning - DEBUG - Activity 64706: sampling based on floor area\n", - "2024-05-14 18:29:27,566 - acbm.assigning - DEBUG - Activity 64709: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,567 - acbm.assigning - DEBUG - Activity 64709: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,568 - acbm.assigning - DEBUG - Activity 64709: sampling based on floor area\n", - "2024-05-14 18:29:27,569 - acbm.assigning - DEBUG - Activity 64711: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,571 - acbm.assigning - DEBUG - Activity 64711: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,572 - acbm.assigning - DEBUG - Activity 64711: sampling based on floor area\n", - "2024-05-14 18:29:27,573 - acbm.assigning - DEBUG - Activity 64713: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,574 - acbm.assigning - DEBUG - Activity 64713: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,575 - acbm.assigning - DEBUG - Activity 64713: sampling based on floor area\n", - "2024-05-14 18:29:27,576 - acbm.assigning - DEBUG - Activity 64770: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,578 - acbm.assigning - DEBUG - Activity 64770: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,579 - acbm.assigning - DEBUG - Activity 64770: sampling based on floor area\n", - "2024-05-14 18:29:27,580 - acbm.assigning - DEBUG - Activity 64774: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,582 - acbm.assigning - DEBUG - Activity 64774: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,583 - acbm.assigning - DEBUG - Activity 64774: sampling based on floor area\n", - "2024-05-14 18:29:27,584 - acbm.assigning - DEBUG - Activity 64776: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,598 - acbm.assigning - DEBUG - Activity 64776: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,599 - acbm.assigning - DEBUG - Activity 64776: sampling based on floor area\n", - "2024-05-14 18:29:27,600 - acbm.assigning - DEBUG - Activity 64778: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,602 - acbm.assigning - DEBUG - Activity 64778: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,603 - acbm.assigning - DEBUG - Activity 64778: sampling based on floor area\n", - "2024-05-14 18:29:27,605 - acbm.assigning - DEBUG - Activity 64782: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,607 - acbm.assigning - DEBUG - Activity 64782: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,608 - acbm.assigning - DEBUG - Activity 64782: sampling based on floor area\n", - "2024-05-14 18:29:27,609 - acbm.assigning - DEBUG - Activity 64784: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,612 - acbm.assigning - DEBUG - Activity 64784: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,612 - acbm.assigning - DEBUG - Activity 64784: sampling based on floor area\n", - "2024-05-14 18:29:27,614 - acbm.assigning - DEBUG - Activity 64786: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,616 - acbm.assigning - DEBUG - Activity 64786: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,617 - acbm.assigning - DEBUG - Activity 64786: sampling based on floor area\n", - "2024-05-14 18:29:27,619 - acbm.assigning - INFO - Activity 64790: No zones available\n", - "2024-05-14 18:29:27,619 - acbm.assigning - INFO - Activity 64792: No zones available\n", - "2024-05-14 18:29:27,620 - acbm.assigning - DEBUG - Activity 65039: Initial number of options for activity = 13\n", - "2024-05-14 18:29:27,622 - acbm.assigning - DEBUG - Activity 65039: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:27,623 - acbm.assigning - DEBUG - Activity 65039: sampling based on floor area\n", - "2024-05-14 18:29:27,625 - acbm.assigning - DEBUG - Activity 65046: Initial number of options for activity = 13\n", - "2024-05-14 18:29:27,627 - acbm.assigning - DEBUG - Activity 65046: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:27,628 - acbm.assigning - DEBUG - Activity 65046: sampling based on floor area\n", - "2024-05-14 18:29:27,630 - acbm.assigning - DEBUG - Activity 65049: Initial number of options for activity = 13\n", - "2024-05-14 18:29:27,632 - acbm.assigning - DEBUG - Activity 65049: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:27,633 - acbm.assigning - DEBUG - Activity 65049: sampling based on floor area\n", - "2024-05-14 18:29:27,635 - acbm.assigning - DEBUG - Activity 65095: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,638 - acbm.assigning - DEBUG - Activity 65095: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,638 - acbm.assigning - DEBUG - Activity 65095: sampling based on floor area\n", - "2024-05-14 18:29:27,640 - acbm.assigning - DEBUG - Activity 65099: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,644 - acbm.assigning - DEBUG - Activity 65099: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,645 - acbm.assigning - DEBUG - Activity 65099: sampling based on floor area\n", - "2024-05-14 18:29:27,647 - acbm.assigning - DEBUG - Activity 65101: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,650 - acbm.assigning - DEBUG - Activity 65101: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,651 - acbm.assigning - DEBUG - Activity 65101: sampling based on floor area\n", - "2024-05-14 18:29:27,653 - acbm.assigning - DEBUG - Activity 65103: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,656 - acbm.assigning - DEBUG - Activity 65103: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,658 - acbm.assigning - DEBUG - Activity 65103: sampling based on floor area\n", - "2024-05-14 18:29:27,662 - acbm.assigning - DEBUG - Activity 65105: Initial number of options for activity = 5\n", - "2024-05-14 18:29:27,666 - acbm.assigning - DEBUG - Activity 65105: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:27,667 - acbm.assigning - DEBUG - Activity 65105: sampling based on floor area\n", - "2024-05-14 18:29:27,669 - acbm.assigning - DEBUG - Activity 65255: Initial number of options for activity = 116\n", - "2024-05-14 18:29:27,673 - acbm.assigning - DEBUG - Activity 65255: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:27,674 - acbm.assigning - DEBUG - Activity 65255: sampling based on floor area\n", - "2024-05-14 18:29:27,676 - acbm.assigning - DEBUG - Activity 65257: Initial number of options for activity = 116\n", - "2024-05-14 18:29:27,679 - acbm.assigning - DEBUG - Activity 65257: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:27,680 - acbm.assigning - DEBUG - Activity 65257: sampling based on floor area\n", - "2024-05-14 18:29:27,682 - acbm.assigning - DEBUG - Activity 65261: Initial number of options for activity = 116\n", - "2024-05-14 18:29:27,685 - acbm.assigning - DEBUG - Activity 65261: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:27,686 - acbm.assigning - DEBUG - Activity 65261: sampling based on floor area\n", - "2024-05-14 18:29:27,687 - acbm.assigning - DEBUG - Activity 65263: Initial number of options for activity = 116\n", - "2024-05-14 18:29:27,690 - acbm.assigning - DEBUG - Activity 65263: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:27,691 - acbm.assigning - DEBUG - Activity 65263: sampling based on floor area\n", - "2024-05-14 18:29:27,693 - acbm.assigning - DEBUG - Activity 65265: Initial number of options for activity = 116\n", - "2024-05-14 18:29:27,695 - acbm.assigning - DEBUG - Activity 65265: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:27,705 - acbm.assigning - DEBUG - Activity 65265: sampling based on floor area\n", - "2024-05-14 18:29:27,707 - acbm.assigning - INFO - Activity 65399: No zones available\n", - "2024-05-14 18:29:27,708 - acbm.assigning - DEBUG - Activity 65486: Initial number of options for activity = 85\n", - "2024-05-14 18:29:27,711 - acbm.assigning - DEBUG - Activity 65486: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:27,713 - acbm.assigning - DEBUG - Activity 65486: sampling based on floor area\n", - "2024-05-14 18:29:27,716 - acbm.assigning - DEBUG - Activity 65488: Initial number of options for activity = 85\n", - "2024-05-14 18:29:27,719 - acbm.assigning - DEBUG - Activity 65488: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:27,720 - acbm.assigning - DEBUG - Activity 65488: sampling based on floor area\n", - "2024-05-14 18:29:27,722 - acbm.assigning - DEBUG - Activity 65492: Initial number of options for activity = 85\n", - "2024-05-14 18:29:27,725 - acbm.assigning - DEBUG - Activity 65492: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:27,726 - acbm.assigning - DEBUG - Activity 65492: sampling based on floor area\n", - "2024-05-14 18:29:27,727 - acbm.assigning - DEBUG - Activity 65494: Initial number of options for activity = 85\n", - "2024-05-14 18:29:27,729 - acbm.assigning - DEBUG - Activity 65494: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:27,730 - acbm.assigning - DEBUG - Activity 65494: sampling based on floor area\n", - "2024-05-14 18:29:27,731 - acbm.assigning - DEBUG - Activity 65496: Initial number of options for activity = 85\n", - "2024-05-14 18:29:27,734 - acbm.assigning - DEBUG - Activity 65496: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:27,735 - acbm.assigning - DEBUG - Activity 65496: sampling based on floor area\n", - "2024-05-14 18:29:27,736 - acbm.assigning - DEBUG - Activity 65571: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,738 - acbm.assigning - DEBUG - Activity 65571: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,739 - acbm.assigning - DEBUG - Activity 65571: sampling based on floor area\n", - "2024-05-14 18:29:27,740 - acbm.assigning - DEBUG - Activity 65572: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,742 - acbm.assigning - DEBUG - Activity 65572: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,743 - acbm.assigning - DEBUG - Activity 65572: sampling based on floor area\n", - "2024-05-14 18:29:27,745 - acbm.assigning - INFO - Activity 65575: No zones available\n", - "2024-05-14 18:29:27,745 - acbm.assigning - DEBUG - Activity 65576: Initial number of options for activity = 59\n", - "2024-05-14 18:29:27,747 - acbm.assigning - DEBUG - Activity 65576: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:27,747 - acbm.assigning - DEBUG - Activity 65576: sampling based on floor area\n", - "2024-05-14 18:29:27,749 - acbm.assigning - INFO - Activity 65872: No zones available\n", - "2024-05-14 18:29:27,749 - acbm.assigning - INFO - Activity 65874: No zones available\n", - "2024-05-14 18:29:27,750 - acbm.assigning - INFO - Activity 65875: No zones available\n", - "2024-05-14 18:29:27,750 - acbm.assigning - INFO - Activity 65877: No zones available\n", - "2024-05-14 18:29:27,751 - acbm.assigning - INFO - Activity 65878: No zones available\n", - "2024-05-14 18:29:27,751 - acbm.assigning - INFO - Activity 65881: No zones available\n", - "2024-05-14 18:29:27,751 - acbm.assigning - DEBUG - Activity 65917: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,754 - acbm.assigning - DEBUG - Activity 65917: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,755 - acbm.assigning - DEBUG - Activity 65917: sampling based on floor area\n", - "2024-05-14 18:29:27,756 - acbm.assigning - DEBUG - Activity 65921: Initial number of options for activity = 62\n", - "2024-05-14 18:29:27,758 - acbm.assigning - DEBUG - Activity 65921: Number of options after filtering by education type: 62\n", - "2024-05-14 18:29:27,760 - acbm.assigning - DEBUG - Activity 65921: sampling based on floor area\n", - "2024-05-14 18:29:27,762 - acbm.assigning - DEBUG - Activity 65923: Initial number of options for activity = 110\n", - "2024-05-14 18:29:27,765 - acbm.assigning - DEBUG - Activity 65923: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:27,774 - acbm.assigning - DEBUG - Activity 65923: sampling based on floor area\n", - "2024-05-14 18:29:27,776 - acbm.assigning - DEBUG - Activity 65925: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,781 - acbm.assigning - DEBUG - Activity 65925: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,782 - acbm.assigning - DEBUG - Activity 65925: sampling based on floor area\n", - "2024-05-14 18:29:27,783 - acbm.assigning - DEBUG - Activity 65927: Initial number of options for activity = 23\n", - "2024-05-14 18:29:27,786 - acbm.assigning - DEBUG - Activity 65927: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:27,787 - acbm.assigning - DEBUG - Activity 65927: sampling based on floor area\n", - "2024-05-14 18:29:27,789 - acbm.assigning - DEBUG - Activity 65972: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,791 - acbm.assigning - DEBUG - Activity 65972: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,793 - acbm.assigning - DEBUG - Activity 65972: sampling based on floor area\n", - "2024-05-14 18:29:27,795 - acbm.assigning - DEBUG - Activity 65974: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,797 - acbm.assigning - DEBUG - Activity 65974: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,798 - acbm.assigning - DEBUG - Activity 65974: sampling based on floor area\n", - "2024-05-14 18:29:27,799 - acbm.assigning - DEBUG - Activity 65978: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,801 - acbm.assigning - DEBUG - Activity 65978: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,801 - acbm.assigning - DEBUG - Activity 65978: sampling based on floor area\n", - "2024-05-14 18:29:27,802 - acbm.assigning - DEBUG - Activity 65980: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,804 - acbm.assigning - DEBUG - Activity 65980: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,805 - acbm.assigning - DEBUG - Activity 65980: sampling based on floor area\n", - "2024-05-14 18:29:27,806 - acbm.assigning - DEBUG - Activity 65982: Initial number of options for activity = 10\n", - "2024-05-14 18:29:27,808 - acbm.assigning - DEBUG - Activity 65982: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:27,809 - acbm.assigning - DEBUG - Activity 65982: sampling based on floor area\n", - "2024-05-14 18:29:27,810 - acbm.assigning - DEBUG - Activity 66056: Initial number of options for activity = 44\n", - "2024-05-14 18:29:27,812 - acbm.assigning - DEBUG - Activity 66056: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:27,813 - acbm.assigning - DEBUG - Activity 66056: sampling based on floor area\n", - "2024-05-14 18:29:27,814 - acbm.assigning - DEBUG - Activity 66059: Initial number of options for activity = 3\n", - "2024-05-14 18:29:27,816 - acbm.assigning - DEBUG - Activity 66059: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:27,817 - acbm.assigning - DEBUG - Activity 66059: sampling based on floor area\n", - "2024-05-14 18:29:27,818 - acbm.assigning - DEBUG - Activity 66061: Initial number of options for activity = 3\n", - "2024-05-14 18:29:27,820 - acbm.assigning - DEBUG - Activity 66061: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:27,821 - acbm.assigning - DEBUG - Activity 66061: sampling based on floor area\n", - "2024-05-14 18:29:27,822 - acbm.assigning - DEBUG - Activity 66211: Initial number of options for activity = 83\n", - "2024-05-14 18:29:27,824 - acbm.assigning - DEBUG - Activity 66211: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:27,825 - acbm.assigning - DEBUG - Activity 66211: sampling based on floor area\n", - "2024-05-14 18:29:27,826 - acbm.assigning - DEBUG - Activity 66213: Initial number of options for activity = 83\n", - "2024-05-14 18:29:27,828 - acbm.assigning - DEBUG - Activity 66213: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:27,829 - acbm.assigning - DEBUG - Activity 66213: sampling based on floor area\n", - "2024-05-14 18:29:27,830 - acbm.assigning - DEBUG - Activity 66215: Initial number of options for activity = 83\n", - "2024-05-14 18:29:27,833 - acbm.assigning - DEBUG - Activity 66215: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:27,833 - acbm.assigning - DEBUG - Activity 66215: sampling based on floor area\n", - "2024-05-14 18:29:27,835 - acbm.assigning - DEBUG - Activity 66217: Initial number of options for activity = 83\n", - "2024-05-14 18:29:27,837 - acbm.assigning - DEBUG - Activity 66217: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:27,837 - acbm.assigning - DEBUG - Activity 66217: sampling based on floor area\n", - "2024-05-14 18:29:27,838 - acbm.assigning - DEBUG - Activity 66637: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,840 - acbm.assigning - DEBUG - Activity 66637: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,841 - acbm.assigning - DEBUG - Activity 66637: sampling based on floor area\n", - "2024-05-14 18:29:27,842 - acbm.assigning - DEBUG - Activity 66640: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,843 - acbm.assigning - DEBUG - Activity 66640: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,844 - acbm.assigning - DEBUG - Activity 66640: sampling based on floor area\n", - "2024-05-14 18:29:27,845 - acbm.assigning - DEBUG - Activity 66641: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,847 - acbm.assigning - DEBUG - Activity 66641: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,848 - acbm.assigning - DEBUG - Activity 66641: sampling based on floor area\n", - "2024-05-14 18:29:27,849 - acbm.assigning - DEBUG - Activity 66642: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,851 - acbm.assigning - DEBUG - Activity 66642: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,852 - acbm.assigning - DEBUG - Activity 66642: sampling based on floor area\n", - "2024-05-14 18:29:27,854 - acbm.assigning - DEBUG - Activity 66646: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,856 - acbm.assigning - DEBUG - Activity 66646: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,857 - acbm.assigning - DEBUG - Activity 66646: sampling based on floor area\n", - "2024-05-14 18:29:27,858 - acbm.assigning - DEBUG - Activity 66647: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,860 - acbm.assigning - DEBUG - Activity 66647: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,860 - acbm.assigning - DEBUG - Activity 66647: sampling based on floor area\n", - "2024-05-14 18:29:27,862 - acbm.assigning - DEBUG - Activity 66648: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,864 - acbm.assigning - DEBUG - Activity 66648: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,865 - acbm.assigning - DEBUG - Activity 66648: sampling based on floor area\n", - "2024-05-14 18:29:27,866 - acbm.assigning - DEBUG - Activity 66651: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,869 - acbm.assigning - DEBUG - Activity 66651: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,869 - acbm.assigning - DEBUG - Activity 66651: sampling based on floor area\n", - "2024-05-14 18:29:27,871 - acbm.assigning - DEBUG - Activity 66652: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,873 - acbm.assigning - DEBUG - Activity 66652: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,874 - acbm.assigning - DEBUG - Activity 66652: sampling based on floor area\n", - "2024-05-14 18:29:27,875 - acbm.assigning - DEBUG - Activity 66653: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,877 - acbm.assigning - DEBUG - Activity 66653: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,877 - acbm.assigning - DEBUG - Activity 66653: sampling based on floor area\n", - "2024-05-14 18:29:27,878 - acbm.assigning - DEBUG - Activity 66708: Initial number of options for activity = 8\n", - "2024-05-14 18:29:27,880 - acbm.assigning - DEBUG - Activity 66708: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:27,881 - acbm.assigning - DEBUG - Activity 66708: sampling based on floor area\n", - "2024-05-14 18:29:27,882 - acbm.assigning - DEBUG - Activity 66710: Initial number of options for activity = 8\n", - "2024-05-14 18:29:27,884 - acbm.assigning - DEBUG - Activity 66710: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:27,885 - acbm.assigning - DEBUG - Activity 66710: sampling based on floor area\n", - "2024-05-14 18:29:27,887 - acbm.assigning - DEBUG - Activity 66714: Initial number of options for activity = 6\n", - "2024-05-14 18:29:27,889 - acbm.assigning - DEBUG - Activity 66714: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:27,890 - acbm.assigning - DEBUG - Activity 66714: sampling based on floor area\n", - "2024-05-14 18:29:27,892 - acbm.assigning - DEBUG - Activity 66765: Initial number of options for activity = 40\n", - "2024-05-14 18:29:27,895 - acbm.assigning - DEBUG - Activity 66765: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:27,896 - acbm.assigning - DEBUG - Activity 66765: sampling based on floor area\n", - "2024-05-14 18:29:27,898 - acbm.assigning - DEBUG - Activity 66766: Initial number of options for activity = 53\n", - "2024-05-14 18:29:27,901 - acbm.assigning - DEBUG - Activity 66766: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:27,902 - acbm.assigning - DEBUG - Activity 66766: sampling based on floor area\n", - "2024-05-14 18:29:27,903 - acbm.assigning - DEBUG - Activity 66773: Initial number of options for activity = 53\n", - "2024-05-14 18:29:27,906 - acbm.assigning - DEBUG - Activity 66773: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:27,907 - acbm.assigning - DEBUG - Activity 66773: sampling based on floor area\n", - "2024-05-14 18:29:27,908 - acbm.assigning - DEBUG - Activity 66775: Initial number of options for activity = 40\n", - "2024-05-14 18:29:27,911 - acbm.assigning - DEBUG - Activity 66775: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:27,912 - acbm.assigning - DEBUG - Activity 66775: sampling based on floor area\n", - "2024-05-14 18:29:27,913 - acbm.assigning - DEBUG - Activity 66776: Initial number of options for activity = 40\n", - "2024-05-14 18:29:27,915 - acbm.assigning - DEBUG - Activity 66776: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:27,917 - acbm.assigning - DEBUG - Activity 66776: sampling based on floor area\n", - "2024-05-14 18:29:27,918 - acbm.assigning - INFO - Activity 66972: No zones available\n", - "2024-05-14 18:29:27,919 - acbm.assigning - INFO - Activity 66973: No zones available\n", - "2024-05-14 18:29:27,920 - acbm.assigning - INFO - Activity 67078: No zones available\n", - "2024-05-14 18:29:27,921 - acbm.assigning - DEBUG - Activity 67413: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,923 - acbm.assigning - DEBUG - Activity 67413: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,924 - acbm.assigning - DEBUG - Activity 67413: sampling based on floor area\n", - "2024-05-14 18:29:27,925 - acbm.assigning - DEBUG - Activity 67415: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,928 - acbm.assigning - DEBUG - Activity 67415: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,929 - acbm.assigning - DEBUG - Activity 67415: sampling based on floor area\n", - "2024-05-14 18:29:27,930 - acbm.assigning - DEBUG - Activity 67417: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,933 - acbm.assigning - DEBUG - Activity 67417: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,934 - acbm.assigning - DEBUG - Activity 67417: sampling based on floor area\n", - "2024-05-14 18:29:27,936 - acbm.assigning - DEBUG - Activity 67419: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,939 - acbm.assigning - DEBUG - Activity 67419: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,940 - acbm.assigning - DEBUG - Activity 67419: sampling based on floor area\n", - "2024-05-14 18:29:27,942 - acbm.assigning - DEBUG - Activity 67421: Initial number of options for activity = 1\n", - "2024-05-14 18:29:27,944 - acbm.assigning - DEBUG - Activity 67421: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:27,945 - acbm.assigning - DEBUG - Activity 67421: sampling based on floor area\n", - "2024-05-14 18:29:27,947 - acbm.assigning - DEBUG - Activity 67449: Initial number of options for activity = 63\n", - "2024-05-14 18:29:27,950 - acbm.assigning - DEBUG - Activity 67449: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:27,951 - acbm.assigning - DEBUG - Activity 67449: sampling based on floor area\n", - "2024-05-14 18:29:27,953 - acbm.assigning - DEBUG - Activity 67454: Initial number of options for activity = 63\n", - "2024-05-14 18:29:27,956 - acbm.assigning - DEBUG - Activity 67454: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:27,957 - acbm.assigning - DEBUG - Activity 67454: sampling based on floor area\n", - "2024-05-14 18:29:27,958 - acbm.assigning - DEBUG - Activity 67458: Initial number of options for activity = 63\n", - "2024-05-14 18:29:27,961 - acbm.assigning - DEBUG - Activity 67458: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:27,962 - acbm.assigning - DEBUG - Activity 67458: sampling based on floor area\n", - "2024-05-14 18:29:27,964 - acbm.assigning - DEBUG - Activity 67459: Initial number of options for activity = 63\n", - "2024-05-14 18:29:27,966 - acbm.assigning - DEBUG - Activity 67459: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:27,967 - acbm.assigning - DEBUG - Activity 67459: sampling based on floor area\n", - "2024-05-14 18:29:27,969 - acbm.assigning - DEBUG - Activity 67460: Initial number of options for activity = 63\n", - "2024-05-14 18:29:27,972 - acbm.assigning - DEBUG - Activity 67460: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:27,974 - acbm.assigning - DEBUG - Activity 67460: sampling based on floor area\n", - "2024-05-14 18:29:27,975 - acbm.assigning - DEBUG - Activity 67462: Initial number of options for activity = 63\n", - "2024-05-14 18:29:27,978 - acbm.assigning - DEBUG - Activity 67462: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:27,979 - acbm.assigning - DEBUG - Activity 67462: sampling based on floor area\n", - "2024-05-14 18:29:27,992 - acbm.assigning - DEBUG - Activity 67463: Initial number of options for activity = 63\n", - "2024-05-14 18:29:27,995 - acbm.assigning - DEBUG - Activity 67463: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:27,996 - acbm.assigning - DEBUG - Activity 67463: sampling based on floor area\n", - "2024-05-14 18:29:27,997 - acbm.assigning - DEBUG - Activity 67464: Initial number of options for activity = 63\n", - "2024-05-14 18:29:28,000 - acbm.assigning - DEBUG - Activity 67464: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:28,001 - acbm.assigning - DEBUG - Activity 67464: sampling based on floor area\n", - "2024-05-14 18:29:28,003 - acbm.assigning - DEBUG - Activity 67466: Initial number of options for activity = 63\n", - "2024-05-14 18:29:28,006 - acbm.assigning - DEBUG - Activity 67466: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:28,007 - acbm.assigning - DEBUG - Activity 67466: sampling based on floor area\n", - "2024-05-14 18:29:28,008 - acbm.assigning - DEBUG - Activity 67472: Initial number of options for activity = 63\n", - "2024-05-14 18:29:28,012 - acbm.assigning - DEBUG - Activity 67472: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:28,013 - acbm.assigning - DEBUG - Activity 67472: sampling based on floor area\n", - "2024-05-14 18:29:28,015 - acbm.assigning - DEBUG - Activity 67723: Initial number of options for activity = 94\n", - "2024-05-14 18:29:28,018 - acbm.assigning - DEBUG - Activity 67723: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:28,019 - acbm.assigning - DEBUG - Activity 67723: sampling based on floor area\n", - "2024-05-14 18:29:28,021 - acbm.assigning - DEBUG - Activity 67726: Initial number of options for activity = 94\n", - "2024-05-14 18:29:28,024 - acbm.assigning - DEBUG - Activity 67726: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:28,025 - acbm.assigning - DEBUG - Activity 67726: sampling based on floor area\n", - "2024-05-14 18:29:28,026 - acbm.assigning - DEBUG - Activity 67728: Initial number of options for activity = 94\n", - "2024-05-14 18:29:28,029 - acbm.assigning - DEBUG - Activity 67728: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:28,030 - acbm.assigning - DEBUG - Activity 67728: sampling based on floor area\n", - "2024-05-14 18:29:28,032 - acbm.assigning - DEBUG - Activity 67730: Initial number of options for activity = 94\n", - "2024-05-14 18:29:28,035 - acbm.assigning - DEBUG - Activity 67730: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:28,036 - acbm.assigning - DEBUG - Activity 67730: sampling based on floor area\n", - "2024-05-14 18:29:28,038 - acbm.assigning - DEBUG - Activity 67732: Initial number of options for activity = 94\n", - "2024-05-14 18:29:28,042 - acbm.assigning - DEBUG - Activity 67732: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:28,043 - acbm.assigning - DEBUG - Activity 67732: sampling based on floor area\n", - "2024-05-14 18:29:28,044 - acbm.assigning - DEBUG - Activity 67877: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,046 - acbm.assigning - DEBUG - Activity 67877: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,047 - acbm.assigning - DEBUG - Activity 67877: sampling based on floor area\n", - "2024-05-14 18:29:28,049 - acbm.assigning - DEBUG - Activity 67883: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,051 - acbm.assigning - DEBUG - Activity 67883: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,052 - acbm.assigning - DEBUG - Activity 67883: sampling based on floor area\n", - "2024-05-14 18:29:28,053 - acbm.assigning - DEBUG - Activity 67892: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,055 - acbm.assigning - DEBUG - Activity 67892: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,056 - acbm.assigning - DEBUG - Activity 67892: sampling based on floor area\n", - "2024-05-14 18:29:28,057 - acbm.assigning - DEBUG - Activity 67896: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,059 - acbm.assigning - DEBUG - Activity 67896: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,060 - acbm.assigning - DEBUG - Activity 67896: sampling based on floor area\n", - "2024-05-14 18:29:28,061 - acbm.assigning - DEBUG - Activity 67897: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,063 - acbm.assigning - DEBUG - Activity 67897: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,064 - acbm.assigning - DEBUG - Activity 67897: sampling based on floor area\n", - "2024-05-14 18:29:28,065 - acbm.assigning - DEBUG - Activity 67898: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,067 - acbm.assigning - DEBUG - Activity 67898: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,068 - acbm.assigning - DEBUG - Activity 67898: sampling based on floor area\n", - "2024-05-14 18:29:28,069 - acbm.assigning - DEBUG - Activity 67905: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,071 - acbm.assigning - DEBUG - Activity 67905: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,072 - acbm.assigning - DEBUG - Activity 67905: sampling based on floor area\n", - "2024-05-14 18:29:28,073 - acbm.assigning - DEBUG - Activity 67906: Initial number of options for activity = 17\n", - "2024-05-14 18:29:28,075 - acbm.assigning - DEBUG - Activity 67906: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:28,077 - acbm.assigning - DEBUG - Activity 67906: sampling based on floor area\n", - "2024-05-14 18:29:28,078 - acbm.assigning - DEBUG - Activity 68162: Initial number of options for activity = 119\n", - "2024-05-14 18:29:28,081 - acbm.assigning - DEBUG - Activity 68162: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:28,082 - acbm.assigning - DEBUG - Activity 68162: sampling based on floor area\n", - "2024-05-14 18:29:28,083 - acbm.assigning - DEBUG - Activity 68169: Initial number of options for activity = 48\n", - "2024-05-14 18:29:28,086 - acbm.assigning - DEBUG - Activity 68169: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:28,087 - acbm.assigning - DEBUG - Activity 68169: sampling based on floor area\n", - "2024-05-14 18:29:28,088 - acbm.assigning - DEBUG - Activity 68170: Initial number of options for activity = 48\n", - "2024-05-14 18:29:28,090 - acbm.assigning - DEBUG - Activity 68170: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:28,091 - acbm.assigning - DEBUG - Activity 68170: sampling based on floor area\n", - "2024-05-14 18:29:28,093 - acbm.assigning - DEBUG - Activity 68173: Initial number of options for activity = 48\n", - "2024-05-14 18:29:28,095 - acbm.assigning - DEBUG - Activity 68173: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:28,096 - acbm.assigning - DEBUG - Activity 68173: sampling based on floor area\n", - "2024-05-14 18:29:28,097 - acbm.assigning - DEBUG - Activity 68177: Initial number of options for activity = 48\n", - "2024-05-14 18:29:28,100 - acbm.assigning - DEBUG - Activity 68177: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:28,100 - acbm.assigning - DEBUG - Activity 68177: sampling based on floor area\n", - "2024-05-14 18:29:28,102 - acbm.assigning - DEBUG - Activity 68178: Initial number of options for activity = 119\n", - "2024-05-14 18:29:28,118 - acbm.assigning - DEBUG - Activity 68178: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:28,123 - acbm.assigning - DEBUG - Activity 68178: sampling based on floor area\n", - "2024-05-14 18:29:28,125 - acbm.assigning - DEBUG - Activity 68186: Initial number of options for activity = 48\n", - "2024-05-14 18:29:28,127 - acbm.assigning - DEBUG - Activity 68186: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:28,128 - acbm.assigning - DEBUG - Activity 68186: sampling based on floor area\n", - "2024-05-14 18:29:28,130 - acbm.assigning - DEBUG - Activity 68189: Initial number of options for activity = 64\n", - "2024-05-14 18:29:28,132 - acbm.assigning - DEBUG - Activity 68189: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:28,133 - acbm.assigning - DEBUG - Activity 68189: sampling based on floor area\n", - "2024-05-14 18:29:28,134 - acbm.assigning - DEBUG - Activity 68394: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,136 - acbm.assigning - DEBUG - Activity 68394: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,138 - acbm.assigning - DEBUG - Activity 68394: sampling based on floor area\n", - "2024-05-14 18:29:28,139 - acbm.assigning - DEBUG - Activity 68395: Initial number of options for activity = 49\n", - "2024-05-14 18:29:28,142 - acbm.assigning - DEBUG - Activity 68395: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:28,143 - acbm.assigning - DEBUG - Activity 68395: sampling based on floor area\n", - "2024-05-14 18:29:28,144 - acbm.assigning - DEBUG - Activity 68635: Initial number of options for activity = 33\n", - "2024-05-14 18:29:28,147 - acbm.assigning - DEBUG - Activity 68635: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:28,148 - acbm.assigning - DEBUG - Activity 68635: sampling based on floor area\n", - "2024-05-14 18:29:28,149 - acbm.assigning - DEBUG - Activity 68637: Initial number of options for activity = 33\n", - "2024-05-14 18:29:28,151 - acbm.assigning - DEBUG - Activity 68637: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:28,152 - acbm.assigning - DEBUG - Activity 68637: sampling based on floor area\n", - "2024-05-14 18:29:28,153 - acbm.assigning - DEBUG - Activity 68646: Initial number of options for activity = 33\n", - "2024-05-14 18:29:28,155 - acbm.assigning - DEBUG - Activity 68646: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:28,155 - acbm.assigning - DEBUG - Activity 68646: sampling based on floor area\n", - "2024-05-14 18:29:28,156 - acbm.assigning - DEBUG - Activity 68648: Initial number of options for activity = 33\n", - "2024-05-14 18:29:28,158 - acbm.assigning - DEBUG - Activity 68648: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:28,159 - acbm.assigning - DEBUG - Activity 68648: sampling based on floor area\n", - "2024-05-14 18:29:28,159 - acbm.assigning - DEBUG - Activity 68653: Initial number of options for activity = 33\n", - "2024-05-14 18:29:28,161 - acbm.assigning - DEBUG - Activity 68653: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:28,161 - acbm.assigning - DEBUG - Activity 68653: sampling based on floor area\n", - "2024-05-14 18:29:28,162 - acbm.assigning - DEBUG - Activity 68808: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,164 - acbm.assigning - DEBUG - Activity 68808: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,165 - acbm.assigning - DEBUG - Activity 68808: sampling based on floor area\n", - "2024-05-14 18:29:28,165 - acbm.assigning - DEBUG - Activity 69301: Initial number of options for activity = 112\n", - "2024-05-14 18:29:28,167 - acbm.assigning - DEBUG - Activity 69301: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:28,167 - acbm.assigning - DEBUG - Activity 69301: sampling based on floor area\n", - "2024-05-14 18:29:28,168 - acbm.assigning - DEBUG - Activity 69303: Initial number of options for activity = 112\n", - "2024-05-14 18:29:28,170 - acbm.assigning - DEBUG - Activity 69303: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:28,171 - acbm.assigning - DEBUG - Activity 69303: sampling based on floor area\n", - "2024-05-14 18:29:28,172 - acbm.assigning - DEBUG - Activity 69305: Initial number of options for activity = 112\n", - "2024-05-14 18:29:28,173 - acbm.assigning - DEBUG - Activity 69305: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:28,174 - acbm.assigning - DEBUG - Activity 69305: sampling based on floor area\n", - "2024-05-14 18:29:28,175 - acbm.assigning - DEBUG - Activity 69307: Initial number of options for activity = 112\n", - "2024-05-14 18:29:28,176 - acbm.assigning - DEBUG - Activity 69307: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:28,177 - acbm.assigning - DEBUG - Activity 69307: sampling based on floor area\n", - "2024-05-14 18:29:28,178 - acbm.assigning - DEBUG - Activity 69510: Initial number of options for activity = 133\n", - "2024-05-14 18:29:28,179 - acbm.assigning - DEBUG - Activity 69510: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:28,180 - acbm.assigning - DEBUG - Activity 69510: sampling based on floor area\n", - "2024-05-14 18:29:28,181 - acbm.assigning - DEBUG - Activity 69512: Initial number of options for activity = 133\n", - "2024-05-14 18:29:28,182 - acbm.assigning - DEBUG - Activity 69512: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:28,183 - acbm.assigning - DEBUG - Activity 69512: sampling based on floor area\n", - "2024-05-14 18:29:28,184 - acbm.assigning - DEBUG - Activity 69514: Initial number of options for activity = 133\n", - "2024-05-14 18:29:28,185 - acbm.assigning - DEBUG - Activity 69514: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:28,186 - acbm.assigning - DEBUG - Activity 69514: sampling based on floor area\n", - "2024-05-14 18:29:28,187 - acbm.assigning - DEBUG - Activity 69516: Initial number of options for activity = 133\n", - "2024-05-14 18:29:28,189 - acbm.assigning - DEBUG - Activity 69516: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:28,189 - acbm.assigning - DEBUG - Activity 69516: sampling based on floor area\n", - "2024-05-14 18:29:28,190 - acbm.assigning - DEBUG - Activity 69574: Initial number of options for activity = 31\n", - "2024-05-14 18:29:28,192 - acbm.assigning - DEBUG - Activity 69574: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:28,192 - acbm.assigning - DEBUG - Activity 69574: sampling based on floor area\n", - "2024-05-14 18:29:28,193 - acbm.assigning - DEBUG - Activity 69576: Initial number of options for activity = 31\n", - "2024-05-14 18:29:28,195 - acbm.assigning - DEBUG - Activity 69576: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:28,196 - acbm.assigning - DEBUG - Activity 69576: sampling based on floor area\n", - "2024-05-14 18:29:28,197 - acbm.assigning - DEBUG - Activity 69580: Initial number of options for activity = 31\n", - "2024-05-14 18:29:28,199 - acbm.assigning - DEBUG - Activity 69580: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:28,200 - acbm.assigning - DEBUG - Activity 69580: sampling based on floor area\n", - "2024-05-14 18:29:28,201 - acbm.assigning - DEBUG - Activity 69582: Initial number of options for activity = 31\n", - "2024-05-14 18:29:28,203 - acbm.assigning - DEBUG - Activity 69582: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:28,204 - acbm.assigning - DEBUG - Activity 69582: sampling based on floor area\n", - "2024-05-14 18:29:28,205 - acbm.assigning - DEBUG - Activity 69584: Initial number of options for activity = 31\n", - "2024-05-14 18:29:28,206 - acbm.assigning - DEBUG - Activity 69584: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:28,207 - acbm.assigning - DEBUG - Activity 69584: sampling based on floor area\n", - "2024-05-14 18:29:28,208 - acbm.assigning - DEBUG - Activity 69664: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,210 - acbm.assigning - DEBUG - Activity 69664: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,211 - acbm.assigning - DEBUG - Activity 69664: sampling based on floor area\n", - "2024-05-14 18:29:28,212 - acbm.assigning - DEBUG - Activity 69666: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,214 - acbm.assigning - DEBUG - Activity 69666: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,214 - acbm.assigning - DEBUG - Activity 69666: sampling based on floor area\n", - "2024-05-14 18:29:28,215 - acbm.assigning - DEBUG - Activity 69668: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,217 - acbm.assigning - DEBUG - Activity 69668: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,218 - acbm.assigning - DEBUG - Activity 69668: sampling based on floor area\n", - "2024-05-14 18:29:28,219 - acbm.assigning - DEBUG - Activity 69670: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,221 - acbm.assigning - DEBUG - Activity 69670: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,221 - acbm.assigning - DEBUG - Activity 69670: sampling based on floor area\n", - "2024-05-14 18:29:28,222 - acbm.assigning - DEBUG - Activity 69779: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,224 - acbm.assigning - DEBUG - Activity 69779: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,224 - acbm.assigning - DEBUG - Activity 69779: sampling based on floor area\n", - "2024-05-14 18:29:28,225 - acbm.assigning - DEBUG - Activity 69781: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,227 - acbm.assigning - DEBUG - Activity 69781: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,227 - acbm.assigning - DEBUG - Activity 69781: sampling based on floor area\n", - "2024-05-14 18:29:28,228 - acbm.assigning - DEBUG - Activity 69785: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,230 - acbm.assigning - DEBUG - Activity 69785: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,231 - acbm.assigning - DEBUG - Activity 69785: sampling based on floor area\n", - "2024-05-14 18:29:28,232 - acbm.assigning - DEBUG - Activity 69787: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,234 - acbm.assigning - DEBUG - Activity 69787: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,234 - acbm.assigning - DEBUG - Activity 69787: sampling based on floor area\n", - "2024-05-14 18:29:28,235 - acbm.assigning - DEBUG - Activity 69789: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,237 - acbm.assigning - DEBUG - Activity 69789: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,237 - acbm.assigning - DEBUG - Activity 69789: sampling based on floor area\n", - "2024-05-14 18:29:28,238 - acbm.assigning - DEBUG - Activity 70017: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,240 - acbm.assigning - DEBUG - Activity 70017: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,240 - acbm.assigning - DEBUG - Activity 70017: sampling based on floor area\n", - "2024-05-14 18:29:28,241 - acbm.assigning - DEBUG - Activity 70195: Initial number of options for activity = 22\n", - "2024-05-14 18:29:28,242 - acbm.assigning - DEBUG - Activity 70195: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:28,243 - acbm.assigning - DEBUG - Activity 70195: sampling based on floor area\n", - "2024-05-14 18:29:28,243 - acbm.assigning - DEBUG - Activity 70197: Initial number of options for activity = 22\n", - "2024-05-14 18:29:28,245 - acbm.assigning - DEBUG - Activity 70197: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:28,245 - acbm.assigning - DEBUG - Activity 70197: sampling based on floor area\n", - "2024-05-14 18:29:28,246 - acbm.assigning - INFO - Activity 70532: No zones available\n", - "2024-05-14 18:29:28,247 - acbm.assigning - DEBUG - Activity 70644: Initial number of options for activity = 130\n", - "2024-05-14 18:29:28,248 - acbm.assigning - DEBUG - Activity 70644: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:28,249 - acbm.assigning - DEBUG - Activity 70644: sampling based on floor area\n", - "2024-05-14 18:29:28,250 - acbm.assigning - DEBUG - Activity 70646: Initial number of options for activity = 130\n", - "2024-05-14 18:29:28,251 - acbm.assigning - DEBUG - Activity 70646: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:28,252 - acbm.assigning - DEBUG - Activity 70646: sampling based on floor area\n", - "2024-05-14 18:29:28,253 - acbm.assigning - DEBUG - Activity 70648: Initial number of options for activity = 130\n", - "2024-05-14 18:29:28,254 - acbm.assigning - DEBUG - Activity 70648: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:28,255 - acbm.assigning - DEBUG - Activity 70648: sampling based on floor area\n", - "2024-05-14 18:29:28,256 - acbm.assigning - DEBUG - Activity 70650: Initial number of options for activity = 130\n", - "2024-05-14 18:29:28,257 - acbm.assigning - DEBUG - Activity 70650: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:28,258 - acbm.assigning - DEBUG - Activity 70650: sampling based on floor area\n", - "2024-05-14 18:29:28,259 - acbm.assigning - DEBUG - Activity 70697: Initial number of options for activity = 138\n", - "2024-05-14 18:29:28,260 - acbm.assigning - DEBUG - Activity 70697: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:28,261 - acbm.assigning - DEBUG - Activity 70697: sampling based on floor area\n", - "2024-05-14 18:29:28,262 - acbm.assigning - DEBUG - Activity 70699: Initial number of options for activity = 64\n", - "2024-05-14 18:29:28,263 - acbm.assigning - DEBUG - Activity 70699: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:28,264 - acbm.assigning - DEBUG - Activity 70699: sampling based on floor area\n", - "2024-05-14 18:29:28,265 - acbm.assigning - DEBUG - Activity 70702: Initial number of options for activity = 64\n", - "2024-05-14 18:29:28,267 - acbm.assigning - DEBUG - Activity 70702: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:28,267 - acbm.assigning - DEBUG - Activity 70702: sampling based on floor area\n", - "2024-05-14 18:29:28,268 - acbm.assigning - DEBUG - Activity 70705: Initial number of options for activity = 64\n", - "2024-05-14 18:29:28,269 - acbm.assigning - DEBUG - Activity 70705: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:28,270 - acbm.assigning - DEBUG - Activity 70705: sampling based on floor area\n", - "2024-05-14 18:29:28,271 - acbm.assigning - DEBUG - Activity 70709: Initial number of options for activity = 36\n", - "2024-05-14 18:29:28,273 - acbm.assigning - DEBUG - Activity 70709: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:28,273 - acbm.assigning - DEBUG - Activity 70709: sampling based on floor area\n", - "2024-05-14 18:29:28,274 - acbm.assigning - DEBUG - Activity 70716: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,276 - acbm.assigning - DEBUG - Activity 70716: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,276 - acbm.assigning - DEBUG - Activity 70716: sampling based on floor area\n", - "2024-05-14 18:29:28,277 - acbm.assigning - DEBUG - Activity 70718: Initial number of options for activity = 36\n", - "2024-05-14 18:29:28,278 - acbm.assigning - DEBUG - Activity 70718: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:28,279 - acbm.assigning - DEBUG - Activity 70718: sampling based on floor area\n", - "2024-05-14 18:29:28,280 - acbm.assigning - DEBUG - Activity 70721: Initial number of options for activity = 36\n", - "2024-05-14 18:29:28,282 - acbm.assigning - DEBUG - Activity 70721: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:28,282 - acbm.assigning - DEBUG - Activity 70721: sampling based on floor area\n", - "2024-05-14 18:29:28,283 - acbm.assigning - DEBUG - Activity 70793: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,285 - acbm.assigning - DEBUG - Activity 70793: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,285 - acbm.assigning - DEBUG - Activity 70793: sampling based on floor area\n", - "2024-05-14 18:29:28,286 - acbm.assigning - DEBUG - Activity 70794: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,288 - acbm.assigning - DEBUG - Activity 70794: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,288 - acbm.assigning - DEBUG - Activity 70794: sampling based on floor area\n", - "2024-05-14 18:29:28,289 - acbm.assigning - DEBUG - Activity 70798: Initial number of options for activity = 2\n", - "2024-05-14 18:29:28,291 - acbm.assigning - DEBUG - Activity 70798: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:28,291 - acbm.assigning - DEBUG - Activity 70798: sampling based on floor area\n", - "2024-05-14 18:29:28,293 - acbm.assigning - DEBUG - Activity 70800: Initial number of options for activity = 2\n", - "2024-05-14 18:29:28,294 - acbm.assigning - DEBUG - Activity 70800: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:28,295 - acbm.assigning - DEBUG - Activity 70800: sampling based on floor area\n", - "2024-05-14 18:29:28,295 - acbm.assigning - DEBUG - Activity 70806: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,297 - acbm.assigning - DEBUG - Activity 70806: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,297 - acbm.assigning - DEBUG - Activity 70806: sampling based on floor area\n", - "2024-05-14 18:29:28,298 - acbm.assigning - INFO - Activity 70838: No zones available\n", - "2024-05-14 18:29:28,298 - acbm.assigning - DEBUG - Activity 70881: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,300 - acbm.assigning - DEBUG - Activity 70881: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,301 - acbm.assigning - DEBUG - Activity 70881: sampling based on floor area\n", - "2024-05-14 18:29:28,302 - acbm.assigning - DEBUG - Activity 70883: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,304 - acbm.assigning - DEBUG - Activity 70883: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,305 - acbm.assigning - DEBUG - Activity 70883: sampling based on floor area\n", - "2024-05-14 18:29:28,306 - acbm.assigning - DEBUG - Activity 70885: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,308 - acbm.assigning - DEBUG - Activity 70885: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,309 - acbm.assigning - DEBUG - Activity 70885: sampling based on floor area\n", - "2024-05-14 18:29:28,310 - acbm.assigning - DEBUG - Activity 70887: Initial number of options for activity = 42\n", - "2024-05-14 18:29:28,311 - acbm.assigning - DEBUG - Activity 70887: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:28,312 - acbm.assigning - DEBUG - Activity 70887: sampling based on floor area\n", - "2024-05-14 18:29:28,312 - acbm.assigning - DEBUG - Activity 71025: Initial number of options for activity = 5\n", - "2024-05-14 18:29:28,314 - acbm.assigning - DEBUG - Activity 71025: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:28,315 - acbm.assigning - DEBUG - Activity 71025: sampling based on floor area\n", - "2024-05-14 18:29:28,316 - acbm.assigning - INFO - Activity 71033: No zones available\n", - "2024-05-14 18:29:28,316 - acbm.assigning - INFO - Activity 71035: No zones available\n", - "2024-05-14 18:29:28,317 - acbm.assigning - INFO - Activity 71037: No zones available\n", - "2024-05-14 18:29:28,317 - acbm.assigning - INFO - Activity 71039: No zones available\n", - "2024-05-14 18:29:28,317 - acbm.assigning - INFO - Activity 71041: No zones available\n", - "2024-05-14 18:29:28,318 - acbm.assigning - DEBUG - Activity 71047: Initial number of options for activity = 5\n", - "2024-05-14 18:29:28,320 - acbm.assigning - DEBUG - Activity 71047: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:28,320 - acbm.assigning - DEBUG - Activity 71047: sampling based on floor area\n", - "2024-05-14 18:29:28,322 - acbm.assigning - DEBUG - Activity 71053: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,324 - acbm.assigning - DEBUG - Activity 71053: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,324 - acbm.assigning - DEBUG - Activity 71053: sampling based on floor area\n", - "2024-05-14 18:29:28,325 - acbm.assigning - INFO - Activity 71057: No zones available\n", - "2024-05-14 18:29:28,326 - acbm.assigning - DEBUG - Activity 71059: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,328 - acbm.assigning - DEBUG - Activity 71059: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,329 - acbm.assigning - DEBUG - Activity 71059: sampling based on floor area\n", - "2024-05-14 18:29:28,330 - acbm.assigning - INFO - Activity 71061: No zones available\n", - "2024-05-14 18:29:28,330 - acbm.assigning - INFO - Activity 71062: No zones available\n", - "2024-05-14 18:29:28,331 - acbm.assigning - INFO - Activity 71094: No zones available\n", - "2024-05-14 18:29:28,331 - acbm.assigning - DEBUG - Activity 71243: Initial number of options for activity = 45\n", - "2024-05-14 18:29:28,333 - acbm.assigning - DEBUG - Activity 71243: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:28,334 - acbm.assigning - DEBUG - Activity 71243: sampling based on floor area\n", - "2024-05-14 18:29:28,335 - acbm.assigning - DEBUG - Activity 71245: Initial number of options for activity = 45\n", - "2024-05-14 18:29:28,337 - acbm.assigning - DEBUG - Activity 71245: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:28,337 - acbm.assigning - DEBUG - Activity 71245: sampling based on floor area\n", - "2024-05-14 18:29:28,338 - acbm.assigning - DEBUG - Activity 71247: Initial number of options for activity = 45\n", - "2024-05-14 18:29:28,340 - acbm.assigning - DEBUG - Activity 71247: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:28,341 - acbm.assigning - DEBUG - Activity 71247: sampling based on floor area\n", - "2024-05-14 18:29:28,342 - acbm.assigning - DEBUG - Activity 71249: Initial number of options for activity = 45\n", - "2024-05-14 18:29:28,344 - acbm.assigning - DEBUG - Activity 71249: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:28,344 - acbm.assigning - DEBUG - Activity 71249: sampling based on floor area\n", - "2024-05-14 18:29:28,345 - acbm.assigning - DEBUG - Activity 71251: Initial number of options for activity = 45\n", - "2024-05-14 18:29:28,347 - acbm.assigning - DEBUG - Activity 71251: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:28,348 - acbm.assigning - DEBUG - Activity 71251: sampling based on floor area\n", - "2024-05-14 18:29:28,349 - acbm.assigning - DEBUG - Activity 71297: Initial number of options for activity = 123\n", - "2024-05-14 18:29:28,351 - acbm.assigning - DEBUG - Activity 71297: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:28,351 - acbm.assigning - DEBUG - Activity 71297: sampling based on floor area\n", - "2024-05-14 18:29:28,352 - acbm.assigning - DEBUG - Activity 71300: Initial number of options for activity = 123\n", - "2024-05-14 18:29:28,354 - acbm.assigning - DEBUG - Activity 71300: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:28,354 - acbm.assigning - DEBUG - Activity 71300: sampling based on floor area\n", - "2024-05-14 18:29:28,355 - acbm.assigning - DEBUG - Activity 71303: Initial number of options for activity = 123\n", - "2024-05-14 18:29:28,357 - acbm.assigning - DEBUG - Activity 71303: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:28,358 - acbm.assigning - DEBUG - Activity 71303: sampling based on floor area\n", - "2024-05-14 18:29:28,359 - acbm.assigning - DEBUG - Activity 71305: Initial number of options for activity = 123\n", - "2024-05-14 18:29:28,360 - acbm.assigning - DEBUG - Activity 71305: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:28,361 - acbm.assigning - DEBUG - Activity 71305: sampling based on floor area\n", - "2024-05-14 18:29:28,361 - acbm.assigning - DEBUG - Activity 71306: Initial number of options for activity = 9\n", - "2024-05-14 18:29:28,363 - acbm.assigning - DEBUG - Activity 71306: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:28,363 - acbm.assigning - DEBUG - Activity 71306: sampling based on floor area\n", - "2024-05-14 18:29:28,364 - acbm.assigning - DEBUG - Activity 71307: Initial number of options for activity = 3\n", - "2024-05-14 18:29:28,366 - acbm.assigning - DEBUG - Activity 71307: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:28,366 - acbm.assigning - DEBUG - Activity 71307: sampling based on floor area\n", - "2024-05-14 18:29:28,367 - acbm.assigning - DEBUG - Activity 71309: Initial number of options for activity = 123\n", - "2024-05-14 18:29:28,369 - acbm.assigning - DEBUG - Activity 71309: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:28,370 - acbm.assigning - DEBUG - Activity 71309: sampling based on floor area\n", - "2024-05-14 18:29:28,371 - acbm.assigning - DEBUG - Activity 71319: Initial number of options for activity = 5\n", - "2024-05-14 18:29:28,372 - acbm.assigning - DEBUG - Activity 71319: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:28,373 - acbm.assigning - DEBUG - Activity 71319: sampling based on floor area\n", - "2024-05-14 18:29:28,374 - acbm.assigning - DEBUG - Activity 71390: Initial number of options for activity = 36\n", - "2024-05-14 18:29:28,376 - acbm.assigning - DEBUG - Activity 71390: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:28,376 - acbm.assigning - DEBUG - Activity 71390: sampling based on floor area\n", - "2024-05-14 18:29:28,377 - acbm.assigning - DEBUG - Activity 71391: Initial number of options for activity = 36\n", - "2024-05-14 18:29:28,379 - acbm.assigning - DEBUG - Activity 71391: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:28,380 - acbm.assigning - DEBUG - Activity 71391: sampling based on floor area\n", - "2024-05-14 18:29:28,381 - acbm.assigning - DEBUG - Activity 71393: Initial number of options for activity = 26\n", - "2024-05-14 18:29:28,383 - acbm.assigning - DEBUG - Activity 71393: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:28,384 - acbm.assigning - DEBUG - Activity 71393: sampling based on floor area\n", - "2024-05-14 18:29:28,384 - acbm.assigning - DEBUG - Activity 71397: Initial number of options for activity = 36\n", - "2024-05-14 18:29:28,386 - acbm.assigning - DEBUG - Activity 71397: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:28,387 - acbm.assigning - DEBUG - Activity 71397: sampling based on floor area\n", - "2024-05-14 18:29:28,388 - acbm.assigning - DEBUG - Activity 71399: Initial number of options for activity = 16\n", - "2024-05-14 18:29:28,390 - acbm.assigning - DEBUG - Activity 71399: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:28,391 - acbm.assigning - DEBUG - Activity 71399: sampling based on floor area\n", - "2024-05-14 18:29:28,392 - acbm.assigning - DEBUG - Activity 71400: Initial number of options for activity = 16\n", - "2024-05-14 18:29:28,394 - acbm.assigning - DEBUG - Activity 71400: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:28,394 - acbm.assigning - DEBUG - Activity 71400: sampling based on floor area\n", - "2024-05-14 18:29:28,395 - acbm.assigning - DEBUG - Activity 71450: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,398 - acbm.assigning - DEBUG - Activity 71450: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,398 - acbm.assigning - DEBUG - Activity 71450: sampling based on floor area\n", - "2024-05-14 18:29:28,399 - acbm.assigning - DEBUG - Activity 71452: Initial number of options for activity = 29\n", - "2024-05-14 18:29:28,401 - acbm.assigning - DEBUG - Activity 71452: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:28,402 - acbm.assigning - DEBUG - Activity 71452: sampling based on floor area\n", - "2024-05-14 18:29:28,403 - acbm.assigning - DEBUG - Activity 71453: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,406 - acbm.assigning - DEBUG - Activity 71453: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,407 - acbm.assigning - DEBUG - Activity 71453: sampling based on floor area\n", - "2024-05-14 18:29:28,408 - acbm.assigning - DEBUG - Activity 71458: Initial number of options for activity = 49\n", - "2024-05-14 18:29:28,410 - acbm.assigning - DEBUG - Activity 71458: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:28,411 - acbm.assigning - DEBUG - Activity 71458: sampling based on floor area\n", - "2024-05-14 18:29:28,412 - acbm.assigning - DEBUG - Activity 71460: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,414 - acbm.assigning - DEBUG - Activity 71460: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,414 - acbm.assigning - DEBUG - Activity 71460: sampling based on floor area\n", - "2024-05-14 18:29:28,415 - acbm.assigning - DEBUG - Activity 71468: Initial number of options for activity = 49\n", - "2024-05-14 18:29:28,417 - acbm.assigning - DEBUG - Activity 71468: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:28,418 - acbm.assigning - DEBUG - Activity 71468: sampling based on floor area\n", - "2024-05-14 18:29:28,419 - acbm.assigning - DEBUG - Activity 71472: Initial number of options for activity = 29\n", - "2024-05-14 18:29:28,420 - acbm.assigning - DEBUG - Activity 71472: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:28,421 - acbm.assigning - DEBUG - Activity 71472: sampling based on floor area\n", - "2024-05-14 18:29:28,422 - acbm.assigning - DEBUG - Activity 71474: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,424 - acbm.assigning - DEBUG - Activity 71474: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,425 - acbm.assigning - DEBUG - Activity 71474: sampling based on floor area\n", - "2024-05-14 18:29:28,426 - acbm.assigning - DEBUG - Activity 71475: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,427 - acbm.assigning - DEBUG - Activity 71475: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,428 - acbm.assigning - DEBUG - Activity 71475: sampling based on floor area\n", - "2024-05-14 18:29:28,429 - acbm.assigning - DEBUG - Activity 71476: Initial number of options for activity = 47\n", - "2024-05-14 18:29:28,431 - acbm.assigning - DEBUG - Activity 71476: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:28,432 - acbm.assigning - DEBUG - Activity 71476: sampling based on floor area\n", - "2024-05-14 18:29:28,432 - acbm.assigning - DEBUG - Activity 71643: Initial number of options for activity = 116\n", - "2024-05-14 18:29:28,434 - acbm.assigning - DEBUG - Activity 71643: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:28,435 - acbm.assigning - DEBUG - Activity 71643: sampling based on floor area\n", - "2024-05-14 18:29:28,436 - acbm.assigning - DEBUG - Activity 71645: Initial number of options for activity = 129\n", - "2024-05-14 18:29:28,438 - acbm.assigning - DEBUG - Activity 71645: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:28,438 - acbm.assigning - DEBUG - Activity 71645: sampling based on floor area\n", - "2024-05-14 18:29:28,439 - acbm.assigning - DEBUG - Activity 71661: Initial number of options for activity = 116\n", - "2024-05-14 18:29:28,442 - acbm.assigning - DEBUG - Activity 71661: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:28,443 - acbm.assigning - DEBUG - Activity 71661: sampling based on floor area\n", - "2024-05-14 18:29:28,445 - acbm.assigning - DEBUG - Activity 71663: Initial number of options for activity = 129\n", - "2024-05-14 18:29:28,447 - acbm.assigning - DEBUG - Activity 71663: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:28,448 - acbm.assigning - DEBUG - Activity 71663: sampling based on floor area\n", - "2024-05-14 18:29:28,450 - acbm.assigning - DEBUG - Activity 71728: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,452 - acbm.assigning - DEBUG - Activity 71728: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,453 - acbm.assigning - DEBUG - Activity 71728: sampling based on floor area\n", - "2024-05-14 18:29:28,454 - acbm.assigning - DEBUG - Activity 71730: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,456 - acbm.assigning - DEBUG - Activity 71730: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,457 - acbm.assigning - DEBUG - Activity 71730: sampling based on floor area\n", - "2024-05-14 18:29:28,459 - acbm.assigning - DEBUG - Activity 71734: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,461 - acbm.assigning - DEBUG - Activity 71734: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,461 - acbm.assigning - DEBUG - Activity 71734: sampling based on floor area\n", - "2024-05-14 18:29:28,462 - acbm.assigning - DEBUG - Activity 71736: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,464 - acbm.assigning - DEBUG - Activity 71736: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,465 - acbm.assigning - DEBUG - Activity 71736: sampling based on floor area\n", - "2024-05-14 18:29:28,466 - acbm.assigning - DEBUG - Activity 71792: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,468 - acbm.assigning - DEBUG - Activity 71792: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,469 - acbm.assigning - DEBUG - Activity 71792: sampling based on floor area\n", - "2024-05-14 18:29:28,470 - acbm.assigning - DEBUG - Activity 71795: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,471 - acbm.assigning - DEBUG - Activity 71795: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,472 - acbm.assigning - DEBUG - Activity 71795: sampling based on floor area\n", - "2024-05-14 18:29:28,473 - acbm.assigning - DEBUG - Activity 71797: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,475 - acbm.assigning - DEBUG - Activity 71797: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,476 - acbm.assigning - DEBUG - Activity 71797: sampling based on floor area\n", - "2024-05-14 18:29:28,477 - acbm.assigning - DEBUG - Activity 71802: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,478 - acbm.assigning - DEBUG - Activity 71802: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,479 - acbm.assigning - DEBUG - Activity 71802: sampling based on floor area\n", - "2024-05-14 18:29:28,480 - acbm.assigning - DEBUG - Activity 71805: Initial number of options for activity = 41\n", - "2024-05-14 18:29:28,482 - acbm.assigning - DEBUG - Activity 71805: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:28,482 - acbm.assigning - DEBUG - Activity 71805: sampling based on floor area\n", - "2024-05-14 18:29:28,483 - acbm.assigning - DEBUG - Activity 71840: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,485 - acbm.assigning - DEBUG - Activity 71840: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,485 - acbm.assigning - DEBUG - Activity 71840: sampling based on floor area\n", - "2024-05-14 18:29:28,486 - acbm.assigning - DEBUG - Activity 71841: Initial number of options for activity = 5\n", - "2024-05-14 18:29:28,488 - acbm.assigning - DEBUG - Activity 71841: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:28,488 - acbm.assigning - DEBUG - Activity 71841: sampling based on floor area\n", - "2024-05-14 18:29:28,489 - acbm.assigning - DEBUG - Activity 71842: Initial number of options for activity = 5\n", - "2024-05-14 18:29:28,490 - acbm.assigning - DEBUG - Activity 71842: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:28,491 - acbm.assigning - DEBUG - Activity 71842: sampling based on floor area\n", - "2024-05-14 18:29:28,492 - acbm.assigning - DEBUG - Activity 71846: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,493 - acbm.assigning - DEBUG - Activity 71846: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,494 - acbm.assigning - DEBUG - Activity 71846: sampling based on floor area\n", - "2024-05-14 18:29:28,495 - acbm.assigning - DEBUG - Activity 71849: Initial number of options for activity = 5\n", - "2024-05-14 18:29:28,496 - acbm.assigning - DEBUG - Activity 71849: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:28,497 - acbm.assigning - DEBUG - Activity 71849: sampling based on floor area\n", - "2024-05-14 18:29:28,498 - acbm.assigning - INFO - Activity 71864: No zones available\n", - "2024-05-14 18:29:28,498 - acbm.assigning - INFO - Activity 71870: No zones available\n", - "2024-05-14 18:29:28,499 - acbm.assigning - DEBUG - Activity 71975: Initial number of options for activity = 16\n", - "2024-05-14 18:29:28,501 - acbm.assigning - DEBUG - Activity 71975: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:28,501 - acbm.assigning - DEBUG - Activity 71975: sampling based on floor area\n", - "2024-05-14 18:29:28,502 - acbm.assigning - INFO - Activity 71976: No zones available\n", - "2024-05-14 18:29:28,502 - acbm.assigning - INFO - Activity 71980: No zones available\n", - "2024-05-14 18:29:28,503 - acbm.assigning - INFO - Activity 71981: No zones available\n", - "2024-05-14 18:29:28,503 - acbm.assigning - INFO - Activity 71984: No zones available\n", - "2024-05-14 18:29:28,503 - acbm.assigning - INFO - Activity 71993: No zones available\n", - "2024-05-14 18:29:28,504 - acbm.assigning - INFO - Activity 71998: No zones available\n", - "2024-05-14 18:29:28,504 - acbm.assigning - DEBUG - Activity 72003: Initial number of options for activity = 35\n", - "2024-05-14 18:29:28,506 - acbm.assigning - DEBUG - Activity 72003: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:28,506 - acbm.assigning - DEBUG - Activity 72003: sampling based on floor area\n", - "2024-05-14 18:29:28,507 - acbm.assigning - INFO - Activity 72009: No zones available\n", - "2024-05-14 18:29:28,508 - acbm.assigning - INFO - Activity 72012: No zones available\n", - "2024-05-14 18:29:28,508 - acbm.assigning - DEBUG - Activity 72090: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,511 - acbm.assigning - DEBUG - Activity 72090: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,511 - acbm.assigning - DEBUG - Activity 72090: sampling based on floor area\n", - "2024-05-14 18:29:28,513 - acbm.assigning - DEBUG - Activity 72198: Initial number of options for activity = 124\n", - "2024-05-14 18:29:28,517 - acbm.assigning - DEBUG - Activity 72198: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:28,518 - acbm.assigning - DEBUG - Activity 72198: sampling based on floor area\n", - "2024-05-14 18:29:28,520 - acbm.assigning - DEBUG - Activity 72200: Initial number of options for activity = 124\n", - "2024-05-14 18:29:28,523 - acbm.assigning - DEBUG - Activity 72200: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:28,524 - acbm.assigning - DEBUG - Activity 72200: sampling based on floor area\n", - "2024-05-14 18:29:28,526 - acbm.assigning - DEBUG - Activity 72202: Initial number of options for activity = 124\n", - "2024-05-14 18:29:28,529 - acbm.assigning - DEBUG - Activity 72202: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:28,530 - acbm.assigning - DEBUG - Activity 72202: sampling based on floor area\n", - "2024-05-14 18:29:28,532 - acbm.assigning - DEBUG - Activity 72204: Initial number of options for activity = 124\n", - "2024-05-14 18:29:28,534 - acbm.assigning - DEBUG - Activity 72204: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:28,535 - acbm.assigning - DEBUG - Activity 72204: sampling based on floor area\n", - "2024-05-14 18:29:28,537 - acbm.assigning - DEBUG - Activity 72376: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,539 - acbm.assigning - DEBUG - Activity 72376: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,540 - acbm.assigning - DEBUG - Activity 72376: sampling based on floor area\n", - "2024-05-14 18:29:28,542 - acbm.assigning - DEBUG - Activity 72378: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,544 - acbm.assigning - DEBUG - Activity 72378: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,545 - acbm.assigning - DEBUG - Activity 72378: sampling based on floor area\n", - "2024-05-14 18:29:28,546 - acbm.assigning - DEBUG - Activity 72380: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,549 - acbm.assigning - DEBUG - Activity 72380: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,549 - acbm.assigning - DEBUG - Activity 72380: sampling based on floor area\n", - "2024-05-14 18:29:28,550 - acbm.assigning - DEBUG - Activity 72382: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,552 - acbm.assigning - DEBUG - Activity 72382: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,553 - acbm.assigning - DEBUG - Activity 72382: sampling based on floor area\n", - "2024-05-14 18:29:28,554 - acbm.assigning - INFO - Activity 72639: No zones available\n", - "2024-05-14 18:29:28,555 - acbm.assigning - INFO - Activity 72641: No zones available\n", - "2024-05-14 18:29:28,556 - acbm.assigning - DEBUG - Activity 72719: Initial number of options for activity = 13\n", - "2024-05-14 18:29:28,558 - acbm.assigning - DEBUG - Activity 72719: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:28,559 - acbm.assigning - DEBUG - Activity 72719: sampling based on floor area\n", - "2024-05-14 18:29:28,560 - acbm.assigning - DEBUG - Activity 72721: Initial number of options for activity = 13\n", - "2024-05-14 18:29:28,562 - acbm.assigning - DEBUG - Activity 72721: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:28,563 - acbm.assigning - DEBUG - Activity 72721: sampling based on floor area\n", - "2024-05-14 18:29:28,564 - acbm.assigning - DEBUG - Activity 72725: Initial number of options for activity = 13\n", - "2024-05-14 18:29:28,567 - acbm.assigning - DEBUG - Activity 72725: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:28,568 - acbm.assigning - DEBUG - Activity 72725: sampling based on floor area\n", - "2024-05-14 18:29:28,570 - acbm.assigning - DEBUG - Activity 72727: Initial number of options for activity = 13\n", - "2024-05-14 18:29:28,573 - acbm.assigning - DEBUG - Activity 72727: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:28,574 - acbm.assigning - DEBUG - Activity 72727: sampling based on floor area\n", - "2024-05-14 18:29:28,575 - acbm.assigning - DEBUG - Activity 72776: Initial number of options for activity = 129\n", - "2024-05-14 18:29:28,578 - acbm.assigning - DEBUG - Activity 72776: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:28,579 - acbm.assigning - DEBUG - Activity 72776: sampling based on floor area\n", - "2024-05-14 18:29:28,580 - acbm.assigning - DEBUG - Activity 72778: Initial number of options for activity = 129\n", - "2024-05-14 18:29:28,583 - acbm.assigning - DEBUG - Activity 72778: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:28,584 - acbm.assigning - DEBUG - Activity 72778: sampling based on floor area\n", - "2024-05-14 18:29:28,586 - acbm.assigning - DEBUG - Activity 72780: Initial number of options for activity = 129\n", - "2024-05-14 18:29:28,589 - acbm.assigning - DEBUG - Activity 72780: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:28,589 - acbm.assigning - DEBUG - Activity 72780: sampling based on floor area\n", - "2024-05-14 18:29:28,591 - acbm.assigning - DEBUG - Activity 72782: Initial number of options for activity = 129\n", - "2024-05-14 18:29:28,593 - acbm.assigning - DEBUG - Activity 72782: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:28,594 - acbm.assigning - DEBUG - Activity 72782: sampling based on floor area\n", - "2024-05-14 18:29:28,595 - acbm.assigning - DEBUG - Activity 72987: Initial number of options for activity = 122\n", - "2024-05-14 18:29:28,598 - acbm.assigning - DEBUG - Activity 72987: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:28,599 - acbm.assigning - DEBUG - Activity 72987: sampling based on floor area\n", - "2024-05-14 18:29:28,600 - acbm.assigning - DEBUG - Activity 72989: Initial number of options for activity = 122\n", - "2024-05-14 18:29:28,603 - acbm.assigning - DEBUG - Activity 72989: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:28,604 - acbm.assigning - DEBUG - Activity 72989: sampling based on floor area\n", - "2024-05-14 18:29:28,606 - acbm.assigning - DEBUG - Activity 72991: Initial number of options for activity = 122\n", - "2024-05-14 18:29:28,609 - acbm.assigning - DEBUG - Activity 72991: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:28,610 - acbm.assigning - DEBUG - Activity 72991: sampling based on floor area\n", - "2024-05-14 18:29:28,611 - acbm.assigning - DEBUG - Activity 72993: Initial number of options for activity = 122\n", - "2024-05-14 18:29:28,613 - acbm.assigning - DEBUG - Activity 72993: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:28,614 - acbm.assigning - DEBUG - Activity 72993: sampling based on floor area\n", - "2024-05-14 18:29:28,615 - acbm.assigning - DEBUG - Activity 73225: Initial number of options for activity = 38\n", - "2024-05-14 18:29:28,618 - acbm.assigning - DEBUG - Activity 73225: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:28,619 - acbm.assigning - DEBUG - Activity 73225: sampling based on floor area\n", - "2024-05-14 18:29:28,620 - acbm.assigning - DEBUG - Activity 73465: Initial number of options for activity = 37\n", - "2024-05-14 18:29:28,622 - acbm.assigning - DEBUG - Activity 73465: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:28,623 - acbm.assigning - DEBUG - Activity 73465: sampling based on floor area\n", - "2024-05-14 18:29:28,624 - acbm.assigning - DEBUG - Activity 73467: Initial number of options for activity = 37\n", - "2024-05-14 18:29:28,625 - acbm.assigning - DEBUG - Activity 73467: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:28,626 - acbm.assigning - DEBUG - Activity 73467: sampling based on floor area\n", - "2024-05-14 18:29:28,627 - acbm.assigning - DEBUG - Activity 73469: Initial number of options for activity = 37\n", - "2024-05-14 18:29:28,630 - acbm.assigning - DEBUG - Activity 73469: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:28,630 - acbm.assigning - DEBUG - Activity 73469: sampling based on floor area\n", - "2024-05-14 18:29:28,632 - acbm.assigning - DEBUG - Activity 73471: Initial number of options for activity = 37\n", - "2024-05-14 18:29:28,634 - acbm.assigning - DEBUG - Activity 73471: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:28,635 - acbm.assigning - DEBUG - Activity 73471: sampling based on floor area\n", - "2024-05-14 18:29:28,674 - acbm.assigning - DEBUG - Activity 73475: Initial number of options for activity = 37\n", - "2024-05-14 18:29:28,677 - acbm.assigning - DEBUG - Activity 73475: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:28,678 - acbm.assigning - DEBUG - Activity 73475: sampling based on floor area\n", - "2024-05-14 18:29:28,680 - acbm.assigning - DEBUG - Activity 73549: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,693 - acbm.assigning - DEBUG - Activity 73549: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,695 - acbm.assigning - DEBUG - Activity 73549: sampling based on floor area\n", - "2024-05-14 18:29:28,696 - acbm.assigning - DEBUG - Activity 73551: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,699 - acbm.assigning - DEBUG - Activity 73551: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,700 - acbm.assigning - DEBUG - Activity 73551: sampling based on floor area\n", - "2024-05-14 18:29:28,702 - acbm.assigning - DEBUG - Activity 73561: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,705 - acbm.assigning - DEBUG - Activity 73561: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,706 - acbm.assigning - DEBUG - Activity 73561: sampling based on floor area\n", - "2024-05-14 18:29:28,714 - acbm.assigning - DEBUG - Activity 73563: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,717 - acbm.assigning - DEBUG - Activity 73563: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,719 - acbm.assigning - DEBUG - Activity 73563: sampling based on floor area\n", - "2024-05-14 18:29:28,721 - acbm.assigning - DEBUG - Activity 73575: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,727 - acbm.assigning - DEBUG - Activity 73575: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,731 - acbm.assigning - DEBUG - Activity 73575: sampling based on floor area\n", - "2024-05-14 18:29:28,734 - acbm.assigning - DEBUG - Activity 73578: Initial number of options for activity = 22\n", - "2024-05-14 18:29:28,741 - acbm.assigning - DEBUG - Activity 73578: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:28,742 - acbm.assigning - DEBUG - Activity 73578: sampling based on floor area\n", - "2024-05-14 18:29:28,744 - acbm.assigning - DEBUG - Activity 73586: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,752 - acbm.assigning - DEBUG - Activity 73586: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,754 - acbm.assigning - DEBUG - Activity 73586: sampling based on floor area\n", - "2024-05-14 18:29:28,756 - acbm.assigning - DEBUG - Activity 73592: Initial number of options for activity = 22\n", - "2024-05-14 18:29:28,771 - acbm.assigning - DEBUG - Activity 73592: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:28,772 - acbm.assigning - DEBUG - Activity 73592: sampling based on floor area\n", - "2024-05-14 18:29:28,774 - acbm.assigning - INFO - Activity 73674: No zones available\n", - "2024-05-14 18:29:28,775 - acbm.assigning - INFO - Activity 73676: No zones available\n", - "2024-05-14 18:29:28,776 - acbm.assigning - INFO - Activity 73678: No zones available\n", - "2024-05-14 18:29:28,777 - acbm.assigning - INFO - Activity 73680: No zones available\n", - "2024-05-14 18:29:28,777 - acbm.assigning - INFO - Activity 73682: No zones available\n", - "2024-05-14 18:29:28,778 - acbm.assigning - DEBUG - Activity 73897: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,781 - acbm.assigning - DEBUG - Activity 73897: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,783 - acbm.assigning - DEBUG - Activity 73897: sampling based on floor area\n", - "2024-05-14 18:29:28,785 - acbm.assigning - DEBUG - Activity 73904: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,788 - acbm.assigning - DEBUG - Activity 73904: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,789 - acbm.assigning - DEBUG - Activity 73904: sampling based on floor area\n", - "2024-05-14 18:29:28,791 - acbm.assigning - DEBUG - Activity 73906: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,793 - acbm.assigning - DEBUG - Activity 73906: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,793 - acbm.assigning - DEBUG - Activity 73906: sampling based on floor area\n", - "2024-05-14 18:29:28,795 - acbm.assigning - DEBUG - Activity 73911: Initial number of options for activity = 5\n", - "2024-05-14 18:29:28,797 - acbm.assigning - DEBUG - Activity 73911: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:28,799 - acbm.assigning - DEBUG - Activity 73911: sampling based on floor area\n", - "2024-05-14 18:29:28,802 - acbm.assigning - DEBUG - Activity 73912: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,805 - acbm.assigning - DEBUG - Activity 73912: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,806 - acbm.assigning - DEBUG - Activity 73912: sampling based on floor area\n", - "2024-05-14 18:29:28,808 - acbm.assigning - DEBUG - Activity 73918: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,810 - acbm.assigning - DEBUG - Activity 73918: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,811 - acbm.assigning - DEBUG - Activity 73918: sampling based on floor area\n", - "2024-05-14 18:29:28,813 - acbm.assigning - DEBUG - Activity 74033: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,816 - acbm.assigning - DEBUG - Activity 74033: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,817 - acbm.assigning - DEBUG - Activity 74033: sampling based on floor area\n", - "2024-05-14 18:29:28,818 - acbm.assigning - DEBUG - Activity 74035: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,821 - acbm.assigning - DEBUG - Activity 74035: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,822 - acbm.assigning - DEBUG - Activity 74035: sampling based on floor area\n", - "2024-05-14 18:29:28,824 - acbm.assigning - DEBUG - Activity 74037: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,827 - acbm.assigning - DEBUG - Activity 74037: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,828 - acbm.assigning - DEBUG - Activity 74037: sampling based on floor area\n", - "2024-05-14 18:29:28,829 - acbm.assigning - DEBUG - Activity 74039: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,832 - acbm.assigning - DEBUG - Activity 74039: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,834 - acbm.assigning - DEBUG - Activity 74039: sampling based on floor area\n", - "2024-05-14 18:29:28,836 - acbm.assigning - DEBUG - Activity 74041: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,838 - acbm.assigning - DEBUG - Activity 74041: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,840 - acbm.assigning - DEBUG - Activity 74041: sampling based on floor area\n", - "2024-05-14 18:29:28,841 - acbm.assigning - DEBUG - Activity 74226: Initial number of options for activity = 4\n", - "2024-05-14 18:29:28,843 - acbm.assigning - DEBUG - Activity 74226: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:28,844 - acbm.assigning - DEBUG - Activity 74226: sampling based on floor area\n", - "2024-05-14 18:29:28,846 - acbm.assigning - DEBUG - Activity 74228: Initial number of options for activity = 9\n", - "2024-05-14 18:29:28,848 - acbm.assigning - DEBUG - Activity 74228: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:28,850 - acbm.assigning - DEBUG - Activity 74228: sampling based on floor area\n", - "2024-05-14 18:29:28,851 - acbm.assigning - DEBUG - Activity 74231: Initial number of options for activity = 4\n", - "2024-05-14 18:29:28,854 - acbm.assigning - DEBUG - Activity 74231: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:28,855 - acbm.assigning - DEBUG - Activity 74231: sampling based on floor area\n", - "2024-05-14 18:29:28,857 - acbm.assigning - DEBUG - Activity 74232: Initial number of options for activity = 9\n", - "2024-05-14 18:29:28,862 - acbm.assigning - DEBUG - Activity 74232: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:28,863 - acbm.assigning - DEBUG - Activity 74232: sampling based on floor area\n", - "2024-05-14 18:29:28,865 - acbm.assigning - DEBUG - Activity 74233: Initial number of options for activity = 4\n", - "2024-05-14 18:29:28,868 - acbm.assigning - DEBUG - Activity 74233: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:28,870 - acbm.assigning - DEBUG - Activity 74233: sampling based on floor area\n", - "2024-05-14 18:29:28,872 - acbm.assigning - DEBUG - Activity 74235: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,875 - acbm.assigning - DEBUG - Activity 74235: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,876 - acbm.assigning - DEBUG - Activity 74235: sampling based on floor area\n", - "2024-05-14 18:29:28,878 - acbm.assigning - DEBUG - Activity 74264: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,882 - acbm.assigning - DEBUG - Activity 74264: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,883 - acbm.assigning - DEBUG - Activity 74264: sampling based on floor area\n", - "2024-05-14 18:29:28,884 - acbm.assigning - DEBUG - Activity 74265: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,887 - acbm.assigning - DEBUG - Activity 74265: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,888 - acbm.assigning - DEBUG - Activity 74265: sampling based on floor area\n", - "2024-05-14 18:29:28,890 - acbm.assigning - DEBUG - Activity 74269: Initial number of options for activity = 4\n", - "2024-05-14 18:29:28,893 - acbm.assigning - DEBUG - Activity 74269: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:28,894 - acbm.assigning - DEBUG - Activity 74269: sampling based on floor area\n", - "2024-05-14 18:29:28,896 - acbm.assigning - DEBUG - Activity 74271: Initial number of options for activity = 4\n", - "2024-05-14 18:29:28,899 - acbm.assigning - DEBUG - Activity 74271: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:28,901 - acbm.assigning - DEBUG - Activity 74271: sampling based on floor area\n", - "2024-05-14 18:29:28,902 - acbm.assigning - DEBUG - Activity 74277: Initial number of options for activity = 12\n", - "2024-05-14 18:29:28,905 - acbm.assigning - DEBUG - Activity 74277: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:28,905 - acbm.assigning - DEBUG - Activity 74277: sampling based on floor area\n", - "2024-05-14 18:29:28,907 - acbm.assigning - DEBUG - Activity 74329: Initial number of options for activity = 6\n", - "2024-05-14 18:29:28,909 - acbm.assigning - DEBUG - Activity 74329: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:28,910 - acbm.assigning - DEBUG - Activity 74329: sampling based on floor area\n", - "2024-05-14 18:29:28,912 - acbm.assigning - DEBUG - Activity 74333: Initial number of options for activity = 6\n", - "2024-05-14 18:29:28,915 - acbm.assigning - DEBUG - Activity 74333: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:28,916 - acbm.assigning - DEBUG - Activity 74333: sampling based on floor area\n", - "2024-05-14 18:29:28,918 - acbm.assigning - DEBUG - Activity 74337: Initial number of options for activity = 6\n", - "2024-05-14 18:29:28,920 - acbm.assigning - DEBUG - Activity 74337: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:28,921 - acbm.assigning - DEBUG - Activity 74337: sampling based on floor area\n", - "2024-05-14 18:29:28,923 - acbm.assigning - DEBUG - Activity 74339: Initial number of options for activity = 6\n", - "2024-05-14 18:29:28,927 - acbm.assigning - DEBUG - Activity 74339: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:28,928 - acbm.assigning - DEBUG - Activity 74339: sampling based on floor area\n", - "2024-05-14 18:29:28,929 - acbm.assigning - INFO - Activity 74343: No zones available\n", - "2024-05-14 18:29:28,930 - acbm.assigning - INFO - Activity 74444: No zones available\n", - "2024-05-14 18:29:28,931 - acbm.assigning - INFO - Activity 74446: No zones available\n", - "2024-05-14 18:29:28,932 - acbm.assigning - INFO - Activity 74448: No zones available\n", - "2024-05-14 18:29:28,932 - acbm.assigning - INFO - Activity 74450: No zones available\n", - "2024-05-14 18:29:28,933 - acbm.assigning - INFO - Activity 74452: No zones available\n", - "2024-05-14 18:29:28,934 - acbm.assigning - DEBUG - Activity 74487: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,936 - acbm.assigning - DEBUG - Activity 74487: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,937 - acbm.assigning - DEBUG - Activity 74487: sampling based on floor area\n", - "2024-05-14 18:29:28,939 - acbm.assigning - DEBUG - Activity 74490: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,940 - acbm.assigning - DEBUG - Activity 74490: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,941 - acbm.assigning - DEBUG - Activity 74490: sampling based on floor area\n", - "2024-05-14 18:29:28,943 - acbm.assigning - DEBUG - Activity 74492: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,946 - acbm.assigning - DEBUG - Activity 74492: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,947 - acbm.assigning - DEBUG - Activity 74492: sampling based on floor area\n", - "2024-05-14 18:29:28,949 - acbm.assigning - DEBUG - Activity 74494: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,951 - acbm.assigning - DEBUG - Activity 74494: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,953 - acbm.assigning - DEBUG - Activity 74494: sampling based on floor area\n", - "2024-05-14 18:29:28,954 - acbm.assigning - DEBUG - Activity 74496: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,956 - acbm.assigning - DEBUG - Activity 74496: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,956 - acbm.assigning - DEBUG - Activity 74496: sampling based on floor area\n", - "2024-05-14 18:29:28,958 - acbm.assigning - DEBUG - Activity 74498: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,960 - acbm.assigning - DEBUG - Activity 74498: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,961 - acbm.assigning - DEBUG - Activity 74498: sampling based on floor area\n", - "2024-05-14 18:29:28,962 - acbm.assigning - DEBUG - Activity 74501: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,964 - acbm.assigning - DEBUG - Activity 74501: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,964 - acbm.assigning - DEBUG - Activity 74501: sampling based on floor area\n", - "2024-05-14 18:29:28,965 - acbm.assigning - DEBUG - Activity 74503: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,967 - acbm.assigning - DEBUG - Activity 74503: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,968 - acbm.assigning - DEBUG - Activity 74503: sampling based on floor area\n", - "2024-05-14 18:29:28,969 - acbm.assigning - DEBUG - Activity 74505: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,971 - acbm.assigning - DEBUG - Activity 74505: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,972 - acbm.assigning - DEBUG - Activity 74505: sampling based on floor area\n", - "2024-05-14 18:29:28,974 - acbm.assigning - DEBUG - Activity 74507: Initial number of options for activity = 1\n", - "2024-05-14 18:29:28,976 - acbm.assigning - DEBUG - Activity 74507: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:28,977 - acbm.assigning - DEBUG - Activity 74507: sampling based on floor area\n", - "2024-05-14 18:29:28,978 - acbm.assigning - DEBUG - Activity 74942: Initial number of options for activity = 14\n", - "2024-05-14 18:29:28,981 - acbm.assigning - DEBUG - Activity 74942: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:28,982 - acbm.assigning - DEBUG - Activity 74942: sampling based on floor area\n", - "2024-05-14 18:29:28,985 - acbm.assigning - DEBUG - Activity 74943: Initial number of options for activity = 14\n", - "2024-05-14 18:29:28,987 - acbm.assigning - DEBUG - Activity 74943: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:28,988 - acbm.assigning - DEBUG - Activity 74943: sampling based on floor area\n", - "2024-05-14 18:29:28,990 - acbm.assigning - DEBUG - Activity 74945: Initial number of options for activity = 14\n", - "2024-05-14 18:29:28,992 - acbm.assigning - DEBUG - Activity 74945: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:28,993 - acbm.assigning - DEBUG - Activity 74945: sampling based on floor area\n", - "2024-05-14 18:29:28,996 - acbm.assigning - DEBUG - Activity 74950: Initial number of options for activity = 14\n", - "2024-05-14 18:29:28,999 - acbm.assigning - DEBUG - Activity 74950: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,000 - acbm.assigning - DEBUG - Activity 74950: sampling based on floor area\n", - "2024-05-14 18:29:29,001 - acbm.assigning - DEBUG - Activity 74952: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,004 - acbm.assigning - DEBUG - Activity 74952: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,005 - acbm.assigning - DEBUG - Activity 74952: sampling based on floor area\n", - "2024-05-14 18:29:29,007 - acbm.assigning - DEBUG - Activity 74985: Initial number of options for activity = 171\n", - "2024-05-14 18:29:29,010 - acbm.assigning - DEBUG - Activity 74985: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:29,011 - acbm.assigning - DEBUG - Activity 74985: sampling based on floor area\n", - "2024-05-14 18:29:29,012 - acbm.assigning - DEBUG - Activity 74986: Initial number of options for activity = 171\n", - "2024-05-14 18:29:29,014 - acbm.assigning - DEBUG - Activity 74986: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:29,015 - acbm.assigning - DEBUG - Activity 74986: sampling based on floor area\n", - "2024-05-14 18:29:29,017 - acbm.assigning - DEBUG - Activity 74990: Initial number of options for activity = 171\n", - "2024-05-14 18:29:29,019 - acbm.assigning - DEBUG - Activity 74990: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:29,020 - acbm.assigning - DEBUG - Activity 74990: sampling based on floor area\n", - "2024-05-14 18:29:29,021 - acbm.assigning - DEBUG - Activity 74991: Initial number of options for activity = 171\n", - "2024-05-14 18:29:29,024 - acbm.assigning - DEBUG - Activity 74991: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:29,024 - acbm.assigning - DEBUG - Activity 74991: sampling based on floor area\n", - "2024-05-14 18:29:29,025 - acbm.assigning - DEBUG - Activity 74992: Initial number of options for activity = 171\n", - "2024-05-14 18:29:29,028 - acbm.assigning - DEBUG - Activity 74992: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:29,028 - acbm.assigning - DEBUG - Activity 74992: sampling based on floor area\n", - "2024-05-14 18:29:29,029 - acbm.assigning - INFO - Activity 75160: No zones available\n", - "2024-05-14 18:29:29,030 - acbm.assigning - DEBUG - Activity 75164: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,032 - acbm.assigning - DEBUG - Activity 75164: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,032 - acbm.assigning - DEBUG - Activity 75164: sampling based on floor area\n", - "2024-05-14 18:29:29,034 - acbm.assigning - DEBUG - Activity 75169: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,037 - acbm.assigning - DEBUG - Activity 75169: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,038 - acbm.assigning - DEBUG - Activity 75169: sampling based on floor area\n", - "2024-05-14 18:29:29,040 - acbm.assigning - DEBUG - Activity 75170: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,042 - acbm.assigning - DEBUG - Activity 75170: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,043 - acbm.assigning - DEBUG - Activity 75170: sampling based on floor area\n", - "2024-05-14 18:29:29,045 - acbm.assigning - DEBUG - Activity 75172: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,048 - acbm.assigning - DEBUG - Activity 75172: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,049 - acbm.assigning - DEBUG - Activity 75172: sampling based on floor area\n", - "2024-05-14 18:29:29,050 - acbm.assigning - DEBUG - Activity 75174: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,053 - acbm.assigning - DEBUG - Activity 75174: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,054 - acbm.assigning - DEBUG - Activity 75174: sampling based on floor area\n", - "2024-05-14 18:29:29,055 - acbm.assigning - DEBUG - Activity 75255: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,057 - acbm.assigning - DEBUG - Activity 75255: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,058 - acbm.assigning - DEBUG - Activity 75255: sampling based on floor area\n", - "2024-05-14 18:29:29,060 - acbm.assigning - DEBUG - Activity 75256: Initial number of options for activity = 4\n", - "2024-05-14 18:29:29,063 - acbm.assigning - DEBUG - Activity 75256: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:29,064 - acbm.assigning - DEBUG - Activity 75256: sampling based on floor area\n", - "2024-05-14 18:29:29,065 - acbm.assigning - DEBUG - Activity 75260: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,067 - acbm.assigning - DEBUG - Activity 75260: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,068 - acbm.assigning - DEBUG - Activity 75260: sampling based on floor area\n", - "2024-05-14 18:29:29,069 - acbm.assigning - DEBUG - Activity 75263: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,071 - acbm.assigning - DEBUG - Activity 75263: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,072 - acbm.assigning - DEBUG - Activity 75263: sampling based on floor area\n", - "2024-05-14 18:29:29,075 - acbm.assigning - DEBUG - Activity 75264: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,078 - acbm.assigning - DEBUG - Activity 75264: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,079 - acbm.assigning - DEBUG - Activity 75264: sampling based on floor area\n", - "2024-05-14 18:29:29,081 - acbm.assigning - DEBUG - Activity 75267: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,084 - acbm.assigning - DEBUG - Activity 75267: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,085 - acbm.assigning - DEBUG - Activity 75267: sampling based on floor area\n", - "2024-05-14 18:29:29,086 - acbm.assigning - DEBUG - Activity 75268: Initial number of options for activity = 4\n", - "2024-05-14 18:29:29,089 - acbm.assigning - DEBUG - Activity 75268: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:29,090 - acbm.assigning - DEBUG - Activity 75268: sampling based on floor area\n", - "2024-05-14 18:29:29,091 - acbm.assigning - DEBUG - Activity 75270: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,095 - acbm.assigning - DEBUG - Activity 75270: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,096 - acbm.assigning - DEBUG - Activity 75270: sampling based on floor area\n", - "2024-05-14 18:29:29,098 - acbm.assigning - DEBUG - Activity 75272: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,112 - acbm.assigning - DEBUG - Activity 75272: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,113 - acbm.assigning - DEBUG - Activity 75272: sampling based on floor area\n", - "2024-05-14 18:29:29,116 - acbm.assigning - DEBUG - Activity 75273: Initial number of options for activity = 14\n", - "2024-05-14 18:29:29,122 - acbm.assigning - DEBUG - Activity 75273: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:29,126 - acbm.assigning - DEBUG - Activity 75273: sampling based on floor area\n", - "2024-05-14 18:29:29,128 - acbm.assigning - DEBUG - Activity 75276: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,133 - acbm.assigning - DEBUG - Activity 75276: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,134 - acbm.assigning - DEBUG - Activity 75276: sampling based on floor area\n", - "2024-05-14 18:29:29,137 - acbm.assigning - DEBUG - Activity 75277: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,140 - acbm.assigning - DEBUG - Activity 75277: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,141 - acbm.assigning - DEBUG - Activity 75277: sampling based on floor area\n", - "2024-05-14 18:29:29,142 - acbm.assigning - DEBUG - Activity 75278: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,144 - acbm.assigning - DEBUG - Activity 75278: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,146 - acbm.assigning - DEBUG - Activity 75278: sampling based on floor area\n", - "2024-05-14 18:29:29,147 - acbm.assigning - DEBUG - Activity 75281: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,149 - acbm.assigning - DEBUG - Activity 75281: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,150 - acbm.assigning - DEBUG - Activity 75281: sampling based on floor area\n", - "2024-05-14 18:29:29,152 - acbm.assigning - DEBUG - Activity 75282: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,155 - acbm.assigning - DEBUG - Activity 75282: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,157 - acbm.assigning - DEBUG - Activity 75282: sampling based on floor area\n", - "2024-05-14 18:29:29,159 - acbm.assigning - DEBUG - Activity 75391: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,162 - acbm.assigning - DEBUG - Activity 75391: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,164 - acbm.assigning - DEBUG - Activity 75391: sampling based on floor area\n", - "2024-05-14 18:29:29,167 - acbm.assigning - DEBUG - Activity 75395: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,169 - acbm.assigning - DEBUG - Activity 75395: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,170 - acbm.assigning - DEBUG - Activity 75395: sampling based on floor area\n", - "2024-05-14 18:29:29,172 - acbm.assigning - DEBUG - Activity 75396: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,175 - acbm.assigning - DEBUG - Activity 75396: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,177 - acbm.assigning - DEBUG - Activity 75396: sampling based on floor area\n", - "2024-05-14 18:29:29,178 - acbm.assigning - DEBUG - Activity 75397: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,181 - acbm.assigning - DEBUG - Activity 75397: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,182 - acbm.assigning - DEBUG - Activity 75397: sampling based on floor area\n", - "2024-05-14 18:29:29,183 - acbm.assigning - DEBUG - Activity 75399: Initial number of options for activity = 10\n", - "2024-05-14 18:29:29,185 - acbm.assigning - DEBUG - Activity 75399: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:29,186 - acbm.assigning - DEBUG - Activity 75399: sampling based on floor area\n", - "2024-05-14 18:29:29,187 - acbm.assigning - DEBUG - Activity 75435: Initial number of options for activity = 11\n", - "2024-05-14 18:29:29,188 - acbm.assigning - DEBUG - Activity 75435: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:29,189 - acbm.assigning - DEBUG - Activity 75435: sampling based on floor area\n", - "2024-05-14 18:29:29,191 - acbm.assigning - DEBUG - Activity 75437: Initial number of options for activity = 11\n", - "2024-05-14 18:29:29,192 - acbm.assigning - DEBUG - Activity 75437: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:29,193 - acbm.assigning - DEBUG - Activity 75437: sampling based on floor area\n", - "2024-05-14 18:29:29,194 - acbm.assigning - DEBUG - Activity 75439: Initial number of options for activity = 11\n", - "2024-05-14 18:29:29,196 - acbm.assigning - DEBUG - Activity 75439: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:29,197 - acbm.assigning - DEBUG - Activity 75439: sampling based on floor area\n", - "2024-05-14 18:29:29,198 - acbm.assigning - DEBUG - Activity 75444: Initial number of options for activity = 11\n", - "2024-05-14 18:29:29,199 - acbm.assigning - DEBUG - Activity 75444: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:29,200 - acbm.assigning - DEBUG - Activity 75444: sampling based on floor area\n", - "2024-05-14 18:29:29,201 - acbm.assigning - DEBUG - Activity 75449: Initial number of options for activity = 12\n", - "2024-05-14 18:29:29,203 - acbm.assigning - DEBUG - Activity 75449: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:29,204 - acbm.assigning - DEBUG - Activity 75449: sampling based on floor area\n", - "2024-05-14 18:29:29,205 - acbm.assigning - INFO - Activity 75450: No zones available\n", - "2024-05-14 18:29:29,206 - acbm.assigning - DEBUG - Activity 75456: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,208 - acbm.assigning - DEBUG - Activity 75456: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,209 - acbm.assigning - DEBUG - Activity 75456: sampling based on floor area\n", - "2024-05-14 18:29:29,210 - acbm.assigning - DEBUG - Activity 75462: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,212 - acbm.assigning - DEBUG - Activity 75462: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,213 - acbm.assigning - DEBUG - Activity 75462: sampling based on floor area\n", - "2024-05-14 18:29:29,214 - acbm.assigning - DEBUG - Activity 75463: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,218 - acbm.assigning - DEBUG - Activity 75463: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,219 - acbm.assigning - DEBUG - Activity 75463: sampling based on floor area\n", - "2024-05-14 18:29:29,221 - acbm.assigning - DEBUG - Activity 75485: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,223 - acbm.assigning - DEBUG - Activity 75485: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,224 - acbm.assigning - DEBUG - Activity 75485: sampling based on floor area\n", - "2024-05-14 18:29:29,226 - acbm.assigning - INFO - Activity 75491: No zones available\n", - "2024-05-14 18:29:29,227 - acbm.assigning - INFO - Activity 75493: No zones available\n", - "2024-05-14 18:29:29,227 - acbm.assigning - INFO - Activity 75495: No zones available\n", - "2024-05-14 18:29:29,228 - acbm.assigning - INFO - Activity 75497: No zones available\n", - "2024-05-14 18:29:29,229 - acbm.assigning - INFO - Activity 75499: No zones available\n", - "2024-05-14 18:29:29,230 - acbm.assigning - DEBUG - Activity 75662: Initial number of options for activity = 11\n", - "2024-05-14 18:29:29,232 - acbm.assigning - DEBUG - Activity 75662: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:29,233 - acbm.assigning - DEBUG - Activity 75662: sampling based on floor area\n", - "2024-05-14 18:29:29,234 - acbm.assigning - DEBUG - Activity 75808: Initial number of options for activity = 92\n", - "2024-05-14 18:29:29,237 - acbm.assigning - DEBUG - Activity 75808: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:29,238 - acbm.assigning - DEBUG - Activity 75808: sampling based on floor area\n", - "2024-05-14 18:29:29,239 - acbm.assigning - DEBUG - Activity 75810: Initial number of options for activity = 92\n", - "2024-05-14 18:29:29,241 - acbm.assigning - DEBUG - Activity 75810: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:29,242 - acbm.assigning - DEBUG - Activity 75810: sampling based on floor area\n", - "2024-05-14 18:29:29,243 - acbm.assigning - DEBUG - Activity 75812: Initial number of options for activity = 92\n", - "2024-05-14 18:29:29,245 - acbm.assigning - DEBUG - Activity 75812: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:29,246 - acbm.assigning - DEBUG - Activity 75812: sampling based on floor area\n", - "2024-05-14 18:29:29,247 - acbm.assigning - DEBUG - Activity 75814: Initial number of options for activity = 92\n", - "2024-05-14 18:29:29,249 - acbm.assigning - DEBUG - Activity 75814: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:29,249 - acbm.assigning - DEBUG - Activity 75814: sampling based on floor area\n", - "2024-05-14 18:29:29,250 - acbm.assigning - DEBUG - Activity 76042: Initial number of options for activity = 39\n", - "2024-05-14 18:29:29,252 - acbm.assigning - DEBUG - Activity 76042: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:29,253 - acbm.assigning - DEBUG - Activity 76042: sampling based on floor area\n", - "2024-05-14 18:29:29,253 - acbm.assigning - DEBUG - Activity 76044: Initial number of options for activity = 39\n", - "2024-05-14 18:29:29,255 - acbm.assigning - DEBUG - Activity 76044: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:29,256 - acbm.assigning - DEBUG - Activity 76044: sampling based on floor area\n", - "2024-05-14 18:29:29,257 - acbm.assigning - DEBUG - Activity 76046: Initial number of options for activity = 39\n", - "2024-05-14 18:29:29,260 - acbm.assigning - DEBUG - Activity 76046: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:29,260 - acbm.assigning - DEBUG - Activity 76046: sampling based on floor area\n", - "2024-05-14 18:29:29,261 - acbm.assigning - DEBUG - Activity 76048: Initial number of options for activity = 39\n", - "2024-05-14 18:29:29,264 - acbm.assigning - DEBUG - Activity 76048: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:29,266 - acbm.assigning - DEBUG - Activity 76048: sampling based on floor area\n", - "2024-05-14 18:29:29,275 - acbm.assigning - DEBUG - Activity 76051: Initial number of options for activity = 7\n", - "2024-05-14 18:29:29,278 - acbm.assigning - DEBUG - Activity 76051: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:29,283 - acbm.assigning - DEBUG - Activity 76051: sampling based on floor area\n", - "2024-05-14 18:29:29,285 - acbm.assigning - DEBUG - Activity 76052: Initial number of options for activity = 7\n", - "2024-05-14 18:29:29,288 - acbm.assigning - DEBUG - Activity 76052: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:29,289 - acbm.assigning - DEBUG - Activity 76052: sampling based on floor area\n", - "2024-05-14 18:29:29,291 - acbm.assigning - DEBUG - Activity 76053: Initial number of options for activity = 5\n", - "2024-05-14 18:29:29,294 - acbm.assigning - DEBUG - Activity 76053: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:29,295 - acbm.assigning - DEBUG - Activity 76053: sampling based on floor area\n", - "2024-05-14 18:29:29,297 - acbm.assigning - DEBUG - Activity 76054: Initial number of options for activity = 7\n", - "2024-05-14 18:29:29,299 - acbm.assigning - DEBUG - Activity 76054: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:29,300 - acbm.assigning - DEBUG - Activity 76054: sampling based on floor area\n", - "2024-05-14 18:29:29,302 - acbm.assigning - DEBUG - Activity 76058: Initial number of options for activity = 9\n", - "2024-05-14 18:29:29,305 - acbm.assigning - DEBUG - Activity 76058: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:29,305 - acbm.assigning - DEBUG - Activity 76058: sampling based on floor area\n", - "2024-05-14 18:29:29,307 - acbm.assigning - DEBUG - Activity 76341: Initial number of options for activity = 5\n", - "2024-05-14 18:29:29,309 - acbm.assigning - DEBUG - Activity 76341: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:29,310 - acbm.assigning - DEBUG - Activity 76341: sampling based on floor area\n", - "2024-05-14 18:29:29,311 - acbm.assigning - DEBUG - Activity 76343: Initial number of options for activity = 7\n", - "2024-05-14 18:29:29,313 - acbm.assigning - DEBUG - Activity 76343: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:29,314 - acbm.assigning - DEBUG - Activity 76343: sampling based on floor area\n", - "2024-05-14 18:29:29,315 - acbm.assigning - DEBUG - Activity 76345: Initial number of options for activity = 7\n", - "2024-05-14 18:29:29,317 - acbm.assigning - DEBUG - Activity 76345: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:29,318 - acbm.assigning - DEBUG - Activity 76345: sampling based on floor area\n", - "2024-05-14 18:29:29,319 - acbm.assigning - DEBUG - Activity 76350: Initial number of options for activity = 5\n", - "2024-05-14 18:29:29,321 - acbm.assigning - DEBUG - Activity 76350: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:29,322 - acbm.assigning - DEBUG - Activity 76350: sampling based on floor area\n", - "2024-05-14 18:29:29,324 - acbm.assigning - DEBUG - Activity 76355: Initial number of options for activity = 9\n", - "2024-05-14 18:29:29,326 - acbm.assigning - DEBUG - Activity 76355: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:29,327 - acbm.assigning - DEBUG - Activity 76355: sampling based on floor area\n", - "2024-05-14 18:29:29,328 - acbm.assigning - INFO - Activity 76374: No zones available\n", - "2024-05-14 18:29:29,329 - acbm.assigning - DEBUG - Activity 76380: Initial number of options for activity = 23\n", - "2024-05-14 18:29:29,331 - acbm.assigning - DEBUG - Activity 76380: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:29,332 - acbm.assigning - DEBUG - Activity 76380: sampling based on floor area\n", - "2024-05-14 18:29:29,333 - acbm.assigning - DEBUG - Activity 76386: Initial number of options for activity = 23\n", - "2024-05-14 18:29:29,337 - acbm.assigning - DEBUG - Activity 76386: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:29,338 - acbm.assigning - DEBUG - Activity 76386: sampling based on floor area\n", - "2024-05-14 18:29:29,339 - acbm.assigning - DEBUG - Activity 76387: Initial number of options for activity = 23\n", - "2024-05-14 18:29:29,341 - acbm.assigning - DEBUG - Activity 76387: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:29,342 - acbm.assigning - DEBUG - Activity 76387: sampling based on floor area\n", - "2024-05-14 18:29:29,344 - acbm.assigning - DEBUG - Activity 76444: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,347 - acbm.assigning - DEBUG - Activity 76444: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,348 - acbm.assigning - DEBUG - Activity 76444: sampling based on floor area\n", - "2024-05-14 18:29:29,352 - acbm.assigning - DEBUG - Activity 76487: Initial number of options for activity = 120\n", - "2024-05-14 18:29:29,355 - acbm.assigning - DEBUG - Activity 76487: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:29,356 - acbm.assigning - DEBUG - Activity 76487: sampling based on floor area\n", - "2024-05-14 18:29:29,358 - acbm.assigning - DEBUG - Activity 76489: Initial number of options for activity = 120\n", - "2024-05-14 18:29:29,361 - acbm.assigning - DEBUG - Activity 76489: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:29,362 - acbm.assigning - DEBUG - Activity 76489: sampling based on floor area\n", - "2024-05-14 18:29:29,363 - acbm.assigning - DEBUG - Activity 76491: Initial number of options for activity = 120\n", - "2024-05-14 18:29:29,365 - acbm.assigning - DEBUG - Activity 76491: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:29,366 - acbm.assigning - DEBUG - Activity 76491: sampling based on floor area\n", - "2024-05-14 18:29:29,367 - acbm.assigning - DEBUG - Activity 76493: Initial number of options for activity = 120\n", - "2024-05-14 18:29:29,368 - acbm.assigning - DEBUG - Activity 76493: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:29,369 - acbm.assigning - DEBUG - Activity 76493: sampling based on floor area\n", - "2024-05-14 18:29:29,370 - acbm.assigning - DEBUG - Activity 76519: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,372 - acbm.assigning - DEBUG - Activity 76519: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,373 - acbm.assigning - DEBUG - Activity 76519: sampling based on floor area\n", - "2024-05-14 18:29:29,374 - acbm.assigning - DEBUG - Activity 76521: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,376 - acbm.assigning - DEBUG - Activity 76521: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,376 - acbm.assigning - DEBUG - Activity 76521: sampling based on floor area\n", - "2024-05-14 18:29:29,378 - acbm.assigning - DEBUG - Activity 76525: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,380 - acbm.assigning - DEBUG - Activity 76525: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,381 - acbm.assigning - DEBUG - Activity 76525: sampling based on floor area\n", - "2024-05-14 18:29:29,383 - acbm.assigning - DEBUG - Activity 76527: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,385 - acbm.assigning - DEBUG - Activity 76527: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,385 - acbm.assigning - DEBUG - Activity 76527: sampling based on floor area\n", - "2024-05-14 18:29:29,387 - acbm.assigning - DEBUG - Activity 76529: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,390 - acbm.assigning - DEBUG - Activity 76529: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,391 - acbm.assigning - DEBUG - Activity 76529: sampling based on floor area\n", - "2024-05-14 18:29:29,392 - acbm.assigning - DEBUG - Activity 76606: Initial number of options for activity = 42\n", - "2024-05-14 18:29:29,394 - acbm.assigning - DEBUG - Activity 76606: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:29,395 - acbm.assigning - DEBUG - Activity 76606: sampling based on floor area\n", - "2024-05-14 18:29:29,397 - acbm.assigning - DEBUG - Activity 76608: Initial number of options for activity = 42\n", - "2024-05-14 18:29:29,400 - acbm.assigning - DEBUG - Activity 76608: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:29,401 - acbm.assigning - DEBUG - Activity 76608: sampling based on floor area\n", - "2024-05-14 18:29:29,402 - acbm.assigning - DEBUG - Activity 76610: Initial number of options for activity = 42\n", - "2024-05-14 18:29:29,403 - acbm.assigning - DEBUG - Activity 76610: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:29,404 - acbm.assigning - DEBUG - Activity 76610: sampling based on floor area\n", - "2024-05-14 18:29:29,406 - acbm.assigning - DEBUG - Activity 76612: Initial number of options for activity = 42\n", - "2024-05-14 18:29:29,408 - acbm.assigning - DEBUG - Activity 76612: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:29,409 - acbm.assigning - DEBUG - Activity 76612: sampling based on floor area\n", - "2024-05-14 18:29:29,412 - acbm.assigning - DEBUG - Activity 76696: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,415 - acbm.assigning - DEBUG - Activity 76696: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,417 - acbm.assigning - DEBUG - Activity 76696: sampling based on floor area\n", - "2024-05-14 18:29:29,419 - acbm.assigning - DEBUG - Activity 76699: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,421 - acbm.assigning - DEBUG - Activity 76699: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,421 - acbm.assigning - DEBUG - Activity 76699: sampling based on floor area\n", - "2024-05-14 18:29:29,423 - acbm.assigning - DEBUG - Activity 76700: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,425 - acbm.assigning - DEBUG - Activity 76700: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,426 - acbm.assigning - DEBUG - Activity 76700: sampling based on floor area\n", - "2024-05-14 18:29:29,428 - acbm.assigning - DEBUG - Activity 76702: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,431 - acbm.assigning - DEBUG - Activity 76702: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,432 - acbm.assigning - DEBUG - Activity 76702: sampling based on floor area\n", - "2024-05-14 18:29:29,433 - acbm.assigning - DEBUG - Activity 76705: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,435 - acbm.assigning - DEBUG - Activity 76705: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,437 - acbm.assigning - DEBUG - Activity 76705: sampling based on floor area\n", - "2024-05-14 18:29:29,438 - acbm.assigning - DEBUG - Activity 76754: Initial number of options for activity = 20\n", - "2024-05-14 18:29:29,440 - acbm.assigning - DEBUG - Activity 76754: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:29,441 - acbm.assigning - DEBUG - Activity 76754: sampling based on floor area\n", - "2024-05-14 18:29:29,443 - acbm.assigning - DEBUG - Activity 76755: Initial number of options for activity = 27\n", - "2024-05-14 18:29:29,445 - acbm.assigning - DEBUG - Activity 76755: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:29,447 - acbm.assigning - DEBUG - Activity 76755: sampling based on floor area\n", - "2024-05-14 18:29:29,449 - acbm.assigning - DEBUG - Activity 76758: Initial number of options for activity = 53\n", - "2024-05-14 18:29:29,452 - acbm.assigning - DEBUG - Activity 76758: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:29,453 - acbm.assigning - DEBUG - Activity 76758: sampling based on floor area\n", - "2024-05-14 18:29:29,454 - acbm.assigning - DEBUG - Activity 76761: Initial number of options for activity = 132\n", - "2024-05-14 18:29:29,458 - acbm.assigning - DEBUG - Activity 76761: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:29,459 - acbm.assigning - DEBUG - Activity 76761: sampling based on floor area\n", - "2024-05-14 18:29:29,461 - acbm.assigning - DEBUG - Activity 76762: Initial number of options for activity = 30\n", - "2024-05-14 18:29:29,465 - acbm.assigning - DEBUG - Activity 76762: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:29,466 - acbm.assigning - DEBUG - Activity 76762: sampling based on floor area\n", - "2024-05-14 18:29:29,467 - acbm.assigning - DEBUG - Activity 76763: Initial number of options for activity = 16\n", - "2024-05-14 18:29:29,469 - acbm.assigning - DEBUG - Activity 76763: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:29,470 - acbm.assigning - DEBUG - Activity 76763: sampling based on floor area\n", - "2024-05-14 18:29:29,472 - acbm.assigning - DEBUG - Activity 76766: Initial number of options for activity = 142\n", - "2024-05-14 18:29:29,483 - acbm.assigning - DEBUG - Activity 76766: Number of options after filtering by education type: 142\n", - "2024-05-14 18:29:29,484 - acbm.assigning - DEBUG - Activity 76766: sampling based on floor area\n", - "2024-05-14 18:29:29,486 - acbm.assigning - DEBUG - Activity 76854: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,490 - acbm.assigning - DEBUG - Activity 76854: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,491 - acbm.assigning - DEBUG - Activity 76854: sampling based on floor area\n", - "2024-05-14 18:29:29,495 - acbm.assigning - DEBUG - Activity 76907: Initial number of options for activity = 2\n", - "2024-05-14 18:29:29,498 - acbm.assigning - DEBUG - Activity 76907: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:29,499 - acbm.assigning - DEBUG - Activity 76907: sampling based on floor area\n", - "2024-05-14 18:29:29,500 - acbm.assigning - DEBUG - Activity 76909: Initial number of options for activity = 7\n", - "2024-05-14 18:29:29,502 - acbm.assigning - DEBUG - Activity 76909: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:29,503 - acbm.assigning - DEBUG - Activity 76909: sampling based on floor area\n", - "2024-05-14 18:29:29,504 - acbm.assigning - DEBUG - Activity 76911: Initial number of options for activity = 11\n", - "2024-05-14 18:29:29,506 - acbm.assigning - DEBUG - Activity 76911: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:29,507 - acbm.assigning - DEBUG - Activity 76911: sampling based on floor area\n", - "2024-05-14 18:29:29,508 - acbm.assigning - DEBUG - Activity 76925: Initial number of options for activity = 24\n", - "2024-05-14 18:29:29,511 - acbm.assigning - DEBUG - Activity 76925: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:29,511 - acbm.assigning - DEBUG - Activity 76925: sampling based on floor area\n", - "2024-05-14 18:29:29,513 - acbm.assigning - DEBUG - Activity 76929: Initial number of options for activity = 26\n", - "2024-05-14 18:29:29,514 - acbm.assigning - DEBUG - Activity 76929: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:29,515 - acbm.assigning - DEBUG - Activity 76929: sampling based on floor area\n", - "2024-05-14 18:29:29,516 - acbm.assigning - DEBUG - Activity 76931: Initial number of options for activity = 57\n", - "2024-05-14 18:29:29,517 - acbm.assigning - DEBUG - Activity 76931: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:29,518 - acbm.assigning - DEBUG - Activity 76931: sampling based on floor area\n", - "2024-05-14 18:29:29,519 - acbm.assigning - DEBUG - Activity 77067: Initial number of options for activity = 28\n", - "2024-05-14 18:29:29,521 - acbm.assigning - DEBUG - Activity 77067: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:29,522 - acbm.assigning - DEBUG - Activity 77067: sampling based on floor area\n", - "2024-05-14 18:29:29,523 - acbm.assigning - DEBUG - Activity 77069: Initial number of options for activity = 28\n", - "2024-05-14 18:29:29,526 - acbm.assigning - DEBUG - Activity 77069: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:29,527 - acbm.assigning - DEBUG - Activity 77069: sampling based on floor area\n", - "2024-05-14 18:29:29,529 - acbm.assigning - DEBUG - Activity 77321: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,532 - acbm.assigning - DEBUG - Activity 77321: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,533 - acbm.assigning - DEBUG - Activity 77321: sampling based on floor area\n", - "2024-05-14 18:29:29,534 - acbm.assigning - DEBUG - Activity 77323: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,537 - acbm.assigning - DEBUG - Activity 77323: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,538 - acbm.assigning - DEBUG - Activity 77323: sampling based on floor area\n", - "2024-05-14 18:29:29,540 - acbm.assigning - DEBUG - Activity 77325: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,542 - acbm.assigning - DEBUG - Activity 77325: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,543 - acbm.assigning - DEBUG - Activity 77325: sampling based on floor area\n", - "2024-05-14 18:29:29,544 - acbm.assigning - DEBUG - Activity 77327: Initial number of options for activity = 117\n", - "2024-05-14 18:29:29,548 - acbm.assigning - DEBUG - Activity 77327: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:29,549 - acbm.assigning - DEBUG - Activity 77327: sampling based on floor area\n", - "2024-05-14 18:29:29,550 - acbm.assigning - DEBUG - Activity 77331: Initial number of options for activity = 56\n", - "2024-05-14 18:29:29,553 - acbm.assigning - DEBUG - Activity 77331: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:29,554 - acbm.assigning - DEBUG - Activity 77331: sampling based on floor area\n", - "2024-05-14 18:29:29,555 - acbm.assigning - DEBUG - Activity 77890: Initial number of options for activity = 114\n", - "2024-05-14 18:29:29,558 - acbm.assigning - DEBUG - Activity 77890: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:29,559 - acbm.assigning - DEBUG - Activity 77890: sampling based on floor area\n", - "2024-05-14 18:29:29,561 - acbm.assigning - DEBUG - Activity 77891: Initial number of options for activity = 114\n", - "2024-05-14 18:29:29,563 - acbm.assigning - DEBUG - Activity 77891: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:29,564 - acbm.assigning - DEBUG - Activity 77891: sampling based on floor area\n", - "2024-05-14 18:29:29,565 - acbm.assigning - DEBUG - Activity 77893: Initial number of options for activity = 114\n", - "2024-05-14 18:29:29,567 - acbm.assigning - DEBUG - Activity 77893: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:29,568 - acbm.assigning - DEBUG - Activity 77893: sampling based on floor area\n", - "2024-05-14 18:29:29,569 - acbm.assigning - DEBUG - Activity 77894: Initial number of options for activity = 114\n", - "2024-05-14 18:29:29,570 - acbm.assigning - DEBUG - Activity 77894: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:29,571 - acbm.assigning - DEBUG - Activity 77894: sampling based on floor area\n", - "2024-05-14 18:29:29,572 - acbm.assigning - DEBUG - Activity 77897: Initial number of options for activity = 114\n", - "2024-05-14 18:29:29,573 - acbm.assigning - DEBUG - Activity 77897: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:29,574 - acbm.assigning - DEBUG - Activity 77897: sampling based on floor area\n", - "2024-05-14 18:29:29,576 - acbm.assigning - DEBUG - Activity 77902: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,578 - acbm.assigning - DEBUG - Activity 77902: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,578 - acbm.assigning - DEBUG - Activity 77902: sampling based on floor area\n", - "2024-05-14 18:29:29,580 - acbm.assigning - DEBUG - Activity 77905: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,581 - acbm.assigning - DEBUG - Activity 77905: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,581 - acbm.assigning - DEBUG - Activity 77905: sampling based on floor area\n", - "2024-05-14 18:29:29,582 - acbm.assigning - DEBUG - Activity 77906: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,584 - acbm.assigning - DEBUG - Activity 77906: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,584 - acbm.assigning - DEBUG - Activity 77906: sampling based on floor area\n", - "2024-05-14 18:29:29,585 - acbm.assigning - DEBUG - Activity 77908: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,586 - acbm.assigning - DEBUG - Activity 77908: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,587 - acbm.assigning - DEBUG - Activity 77908: sampling based on floor area\n", - "2024-05-14 18:29:29,588 - acbm.assigning - DEBUG - Activity 77909: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,590 - acbm.assigning - DEBUG - Activity 77909: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,591 - acbm.assigning - DEBUG - Activity 77909: sampling based on floor area\n", - "2024-05-14 18:29:29,592 - acbm.assigning - INFO - Activity 78054: No zones available\n", - "2024-05-14 18:29:29,593 - acbm.assigning - DEBUG - Activity 78331: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,594 - acbm.assigning - DEBUG - Activity 78331: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,595 - acbm.assigning - DEBUG - Activity 78331: sampling based on floor area\n", - "2024-05-14 18:29:29,597 - acbm.assigning - INFO - Activity 78335: No zones available\n", - "2024-05-14 18:29:29,598 - acbm.assigning - DEBUG - Activity 78336: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,599 - acbm.assigning - DEBUG - Activity 78336: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,600 - acbm.assigning - DEBUG - Activity 78336: sampling based on floor area\n", - "2024-05-14 18:29:29,601 - acbm.assigning - INFO - Activity 78340: No zones available\n", - "2024-05-14 18:29:29,601 - acbm.assigning - INFO - Activity 78343: No zones available\n", - "2024-05-14 18:29:29,602 - acbm.assigning - DEBUG - Activity 78344: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,603 - acbm.assigning - DEBUG - Activity 78344: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,604 - acbm.assigning - DEBUG - Activity 78344: sampling based on floor area\n", - "2024-05-14 18:29:29,605 - acbm.assigning - DEBUG - Activity 78733: Initial number of options for activity = 70\n", - "2024-05-14 18:29:29,607 - acbm.assigning - DEBUG - Activity 78733: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:29,608 - acbm.assigning - DEBUG - Activity 78733: sampling based on floor area\n", - "2024-05-14 18:29:29,608 - acbm.assigning - DEBUG - Activity 78735: Initial number of options for activity = 75\n", - "2024-05-14 18:29:29,610 - acbm.assigning - DEBUG - Activity 78735: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:29,611 - acbm.assigning - DEBUG - Activity 78735: sampling based on floor area\n", - "2024-05-14 18:29:29,612 - acbm.assigning - DEBUG - Activity 78811: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,614 - acbm.assigning - DEBUG - Activity 78811: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,614 - acbm.assigning - DEBUG - Activity 78811: sampling based on floor area\n", - "2024-05-14 18:29:29,615 - acbm.assigning - DEBUG - Activity 78822: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,617 - acbm.assigning - DEBUG - Activity 78822: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,617 - acbm.assigning - DEBUG - Activity 78822: sampling based on floor area\n", - "2024-05-14 18:29:29,618 - acbm.assigning - DEBUG - Activity 78899: Initial number of options for activity = 38\n", - "2024-05-14 18:29:29,620 - acbm.assigning - DEBUG - Activity 78899: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:29,621 - acbm.assigning - DEBUG - Activity 78899: sampling based on floor area\n", - "2024-05-14 18:29:29,622 - acbm.assigning - DEBUG - Activity 78901: Initial number of options for activity = 38\n", - "2024-05-14 18:29:29,624 - acbm.assigning - DEBUG - Activity 78901: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:29,624 - acbm.assigning - DEBUG - Activity 78901: sampling based on floor area\n", - "2024-05-14 18:29:29,625 - acbm.assigning - DEBUG - Activity 78903: Initial number of options for activity = 38\n", - "2024-05-14 18:29:29,627 - acbm.assigning - DEBUG - Activity 78903: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:29,627 - acbm.assigning - DEBUG - Activity 78903: sampling based on floor area\n", - "2024-05-14 18:29:29,629 - acbm.assigning - DEBUG - Activity 78905: Initial number of options for activity = 38\n", - "2024-05-14 18:29:29,631 - acbm.assigning - DEBUG - Activity 78905: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:29,631 - acbm.assigning - DEBUG - Activity 78905: sampling based on floor area\n", - "2024-05-14 18:29:29,632 - acbm.assigning - DEBUG - Activity 79008: Initial number of options for activity = 34\n", - "2024-05-14 18:29:29,633 - acbm.assigning - DEBUG - Activity 79008: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:29,634 - acbm.assigning - DEBUG - Activity 79008: sampling based on floor area\n", - "2024-05-14 18:29:29,635 - acbm.assigning - DEBUG - Activity 79009: Initial number of options for activity = 69\n", - "2024-05-14 18:29:29,637 - acbm.assigning - DEBUG - Activity 79009: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:29,637 - acbm.assigning - DEBUG - Activity 79009: sampling based on floor area\n", - "2024-05-14 18:29:29,638 - acbm.assigning - DEBUG - Activity 79011: Initial number of options for activity = 121\n", - "2024-05-14 18:29:29,640 - acbm.assigning - DEBUG - Activity 79011: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:29,640 - acbm.assigning - DEBUG - Activity 79011: sampling based on floor area\n", - "2024-05-14 18:29:29,642 - acbm.assigning - DEBUG - Activity 79015: Initial number of options for activity = 121\n", - "2024-05-14 18:29:29,643 - acbm.assigning - DEBUG - Activity 79015: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:29,644 - acbm.assigning - DEBUG - Activity 79015: sampling based on floor area\n", - "2024-05-14 18:29:29,645 - acbm.assigning - DEBUG - Activity 79025: Initial number of options for activity = 25\n", - "2024-05-14 18:29:29,647 - acbm.assigning - DEBUG - Activity 79025: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:29,647 - acbm.assigning - DEBUG - Activity 79025: sampling based on floor area\n", - "2024-05-14 18:29:29,649 - acbm.assigning - DEBUG - Activity 79127: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,650 - acbm.assigning - DEBUG - Activity 79127: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,651 - acbm.assigning - DEBUG - Activity 79127: sampling based on floor area\n", - "2024-05-14 18:29:29,652 - acbm.assigning - DEBUG - Activity 79129: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,653 - acbm.assigning - DEBUG - Activity 79129: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,654 - acbm.assigning - DEBUG - Activity 79129: sampling based on floor area\n", - "2024-05-14 18:29:29,655 - acbm.assigning - DEBUG - Activity 79136: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,657 - acbm.assigning - DEBUG - Activity 79136: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,657 - acbm.assigning - DEBUG - Activity 79136: sampling based on floor area\n", - "2024-05-14 18:29:29,658 - acbm.assigning - DEBUG - Activity 79137: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,660 - acbm.assigning - DEBUG - Activity 79137: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,660 - acbm.assigning - DEBUG - Activity 79137: sampling based on floor area\n", - "2024-05-14 18:29:29,661 - acbm.assigning - DEBUG - Activity 79138: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,663 - acbm.assigning - DEBUG - Activity 79138: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,664 - acbm.assigning - DEBUG - Activity 79138: sampling based on floor area\n", - "2024-05-14 18:29:29,665 - acbm.assigning - DEBUG - Activity 79141: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,666 - acbm.assigning - DEBUG - Activity 79141: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,667 - acbm.assigning - DEBUG - Activity 79141: sampling based on floor area\n", - "2024-05-14 18:29:29,668 - acbm.assigning - DEBUG - Activity 79144: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,669 - acbm.assigning - DEBUG - Activity 79144: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,670 - acbm.assigning - DEBUG - Activity 79144: sampling based on floor area\n", - "2024-05-14 18:29:29,671 - acbm.assigning - DEBUG - Activity 79146: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,673 - acbm.assigning - DEBUG - Activity 79146: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,673 - acbm.assigning - DEBUG - Activity 79146: sampling based on floor area\n", - "2024-05-14 18:29:29,675 - acbm.assigning - DEBUG - Activity 79150: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,677 - acbm.assigning - DEBUG - Activity 79150: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,677 - acbm.assigning - DEBUG - Activity 79150: sampling based on floor area\n", - "2024-05-14 18:29:29,678 - acbm.assigning - DEBUG - Activity 79151: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,680 - acbm.assigning - DEBUG - Activity 79151: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,681 - acbm.assigning - DEBUG - Activity 79151: sampling based on floor area\n", - "2024-05-14 18:29:29,682 - acbm.assigning - DEBUG - Activity 79156: Initial number of options for activity = 53\n", - "2024-05-14 18:29:29,684 - acbm.assigning - DEBUG - Activity 79156: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:29,684 - acbm.assigning - DEBUG - Activity 79156: sampling based on floor area\n", - "2024-05-14 18:29:29,686 - acbm.assigning - DEBUG - Activity 79158: Initial number of options for activity = 53\n", - "2024-05-14 18:29:29,687 - acbm.assigning - DEBUG - Activity 79158: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:29,688 - acbm.assigning - DEBUG - Activity 79158: sampling based on floor area\n", - "2024-05-14 18:29:29,689 - acbm.assigning - DEBUG - Activity 79160: Initial number of options for activity = 53\n", - "2024-05-14 18:29:29,691 - acbm.assigning - DEBUG - Activity 79160: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:29,691 - acbm.assigning - DEBUG - Activity 79160: sampling based on floor area\n", - "2024-05-14 18:29:29,693 - acbm.assigning - DEBUG - Activity 79163: Initial number of options for activity = 53\n", - "2024-05-14 18:29:29,694 - acbm.assigning - DEBUG - Activity 79163: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:29,695 - acbm.assigning - DEBUG - Activity 79163: sampling based on floor area\n", - "2024-05-14 18:29:29,696 - acbm.assigning - DEBUG - Activity 79164: Initial number of options for activity = 53\n", - "2024-05-14 18:29:29,698 - acbm.assigning - DEBUG - Activity 79164: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:29,699 - acbm.assigning - DEBUG - Activity 79164: sampling based on floor area\n", - "2024-05-14 18:29:29,700 - acbm.assigning - INFO - Activity 79187: No zones available\n", - "2024-05-14 18:29:29,700 - acbm.assigning - INFO - Activity 79189: No zones available\n", - "2024-05-14 18:29:29,701 - acbm.assigning - INFO - Activity 79193: No zones available\n", - "2024-05-14 18:29:29,701 - acbm.assigning - INFO - Activity 79197: No zones available\n", - "2024-05-14 18:29:29,702 - acbm.assigning - INFO - Activity 79201: No zones available\n", - "2024-05-14 18:29:29,702 - acbm.assigning - INFO - Activity 79206: No zones available\n", - "2024-05-14 18:29:29,702 - acbm.assigning - DEBUG - Activity 79265: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,704 - acbm.assigning - DEBUG - Activity 79265: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,704 - acbm.assigning - DEBUG - Activity 79265: sampling based on floor area\n", - "2024-05-14 18:29:29,705 - acbm.assigning - DEBUG - Activity 79405: Initial number of options for activity = 40\n", - "2024-05-14 18:29:29,708 - acbm.assigning - DEBUG - Activity 79405: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:29,708 - acbm.assigning - DEBUG - Activity 79405: sampling based on floor area\n", - "2024-05-14 18:29:29,709 - acbm.assigning - DEBUG - Activity 79407: Initial number of options for activity = 40\n", - "2024-05-14 18:29:29,711 - acbm.assigning - DEBUG - Activity 79407: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:29,711 - acbm.assigning - DEBUG - Activity 79407: sampling based on floor area\n", - "2024-05-14 18:29:29,712 - acbm.assigning - DEBUG - Activity 79409: Initial number of options for activity = 40\n", - "2024-05-14 18:29:29,714 - acbm.assigning - DEBUG - Activity 79409: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:29,714 - acbm.assigning - DEBUG - Activity 79409: sampling based on floor area\n", - "2024-05-14 18:29:29,716 - acbm.assigning - DEBUG - Activity 79411: Initial number of options for activity = 40\n", - "2024-05-14 18:29:29,717 - acbm.assigning - DEBUG - Activity 79411: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:29,718 - acbm.assigning - DEBUG - Activity 79411: sampling based on floor area\n", - "2024-05-14 18:29:29,718 - acbm.assigning - DEBUG - Activity 79450: Initial number of options for activity = 43\n", - "2024-05-14 18:29:29,720 - acbm.assigning - DEBUG - Activity 79450: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:29,721 - acbm.assigning - DEBUG - Activity 79450: sampling based on floor area\n", - "2024-05-14 18:29:29,722 - acbm.assigning - DEBUG - Activity 79453: Initial number of options for activity = 43\n", - "2024-05-14 18:29:29,724 - acbm.assigning - DEBUG - Activity 79453: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:29,725 - acbm.assigning - DEBUG - Activity 79453: sampling based on floor area\n", - "2024-05-14 18:29:29,726 - acbm.assigning - DEBUG - Activity 79454: Initial number of options for activity = 43\n", - "2024-05-14 18:29:29,727 - acbm.assigning - DEBUG - Activity 79454: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:29,728 - acbm.assigning - DEBUG - Activity 79454: sampling based on floor area\n", - "2024-05-14 18:29:29,729 - acbm.assigning - DEBUG - Activity 79455: Initial number of options for activity = 43\n", - "2024-05-14 18:29:29,731 - acbm.assigning - DEBUG - Activity 79455: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:29,732 - acbm.assigning - DEBUG - Activity 79455: sampling based on floor area\n", - "2024-05-14 18:29:29,733 - acbm.assigning - DEBUG - Activity 79458: Initial number of options for activity = 43\n", - "2024-05-14 18:29:29,735 - acbm.assigning - DEBUG - Activity 79458: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:29,736 - acbm.assigning - DEBUG - Activity 79458: sampling based on floor area\n", - "2024-05-14 18:29:29,737 - acbm.assigning - DEBUG - Activity 79464: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,739 - acbm.assigning - DEBUG - Activity 79464: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,740 - acbm.assigning - DEBUG - Activity 79464: sampling based on floor area\n", - "2024-05-14 18:29:29,741 - acbm.assigning - DEBUG - Activity 79466: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,742 - acbm.assigning - DEBUG - Activity 79466: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,743 - acbm.assigning - DEBUG - Activity 79466: sampling based on floor area\n", - "2024-05-14 18:29:29,744 - acbm.assigning - DEBUG - Activity 79468: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,746 - acbm.assigning - DEBUG - Activity 79468: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,747 - acbm.assigning - DEBUG - Activity 79468: sampling based on floor area\n", - "2024-05-14 18:29:29,748 - acbm.assigning - INFO - Activity 79477: No zones available\n", - "2024-05-14 18:29:29,748 - acbm.assigning - DEBUG - Activity 79478: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,751 - acbm.assigning - DEBUG - Activity 79478: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,752 - acbm.assigning - DEBUG - Activity 79478: sampling based on floor area\n", - "2024-05-14 18:29:29,753 - acbm.assigning - DEBUG - Activity 79502: Initial number of options for activity = 6\n", - "2024-05-14 18:29:29,757 - acbm.assigning - DEBUG - Activity 79502: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:29,758 - acbm.assigning - DEBUG - Activity 79502: sampling based on floor area\n", - "2024-05-14 18:29:29,759 - acbm.assigning - DEBUG - Activity 79504: Initial number of options for activity = 8\n", - "2024-05-14 18:29:29,761 - acbm.assigning - DEBUG - Activity 79504: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:29,762 - acbm.assigning - DEBUG - Activity 79504: sampling based on floor area\n", - "2024-05-14 18:29:29,763 - acbm.assigning - DEBUG - Activity 79509: Initial number of options for activity = 8\n", - "2024-05-14 18:29:29,765 - acbm.assigning - DEBUG - Activity 79509: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:29,766 - acbm.assigning - DEBUG - Activity 79509: sampling based on floor area\n", - "2024-05-14 18:29:29,767 - acbm.assigning - DEBUG - Activity 79510: Initial number of options for activity = 4\n", - "2024-05-14 18:29:29,769 - acbm.assigning - DEBUG - Activity 79510: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:29,769 - acbm.assigning - DEBUG - Activity 79510: sampling based on floor area\n", - "2024-05-14 18:29:29,770 - acbm.assigning - INFO - Activity 79542: No zones available\n", - "2024-05-14 18:29:29,771 - acbm.assigning - DEBUG - Activity 79575: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,772 - acbm.assigning - DEBUG - Activity 79575: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,773 - acbm.assigning - DEBUG - Activity 79575: sampling based on floor area\n", - "2024-05-14 18:29:29,774 - acbm.assigning - DEBUG - Activity 79577: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,776 - acbm.assigning - DEBUG - Activity 79577: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,777 - acbm.assigning - DEBUG - Activity 79577: sampling based on floor area\n", - "2024-05-14 18:29:29,778 - acbm.assigning - DEBUG - Activity 79578: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,780 - acbm.assigning - DEBUG - Activity 79578: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,781 - acbm.assigning - DEBUG - Activity 79578: sampling based on floor area\n", - "2024-05-14 18:29:29,782 - acbm.assigning - DEBUG - Activity 79580: Initial number of options for activity = 12\n", - "2024-05-14 18:29:29,784 - acbm.assigning - DEBUG - Activity 79580: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:29,784 - acbm.assigning - DEBUG - Activity 79580: sampling based on floor area\n", - "2024-05-14 18:29:29,785 - acbm.assigning - DEBUG - Activity 79581: Initial number of options for activity = 9\n", - "2024-05-14 18:29:29,787 - acbm.assigning - DEBUG - Activity 79581: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:29,788 - acbm.assigning - DEBUG - Activity 79581: sampling based on floor area\n", - "2024-05-14 18:29:29,789 - acbm.assigning - DEBUG - Activity 79582: Initial number of options for activity = 12\n", - "2024-05-14 18:29:29,791 - acbm.assigning - DEBUG - Activity 79582: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:29,792 - acbm.assigning - DEBUG - Activity 79582: sampling based on floor area\n", - "2024-05-14 18:29:29,792 - acbm.assigning - DEBUG - Activity 79583: Initial number of options for activity = 7\n", - "2024-05-14 18:29:29,795 - acbm.assigning - DEBUG - Activity 79583: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:29,795 - acbm.assigning - DEBUG - Activity 79583: sampling based on floor area\n", - "2024-05-14 18:29:29,797 - acbm.assigning - DEBUG - Activity 79587: Initial number of options for activity = 9\n", - "2024-05-14 18:29:29,798 - acbm.assigning - DEBUG - Activity 79587: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:29,799 - acbm.assigning - DEBUG - Activity 79587: sampling based on floor area\n", - "2024-05-14 18:29:29,800 - acbm.assigning - DEBUG - Activity 79591: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,802 - acbm.assigning - DEBUG - Activity 79591: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,803 - acbm.assigning - DEBUG - Activity 79591: sampling based on floor area\n", - "2024-05-14 18:29:29,804 - acbm.assigning - DEBUG - Activity 79592: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,805 - acbm.assigning - DEBUG - Activity 79592: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,806 - acbm.assigning - DEBUG - Activity 79592: sampling based on floor area\n", - "2024-05-14 18:29:29,807 - acbm.assigning - DEBUG - Activity 79594: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,809 - acbm.assigning - DEBUG - Activity 79594: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,809 - acbm.assigning - DEBUG - Activity 79594: sampling based on floor area\n", - "2024-05-14 18:29:29,810 - acbm.assigning - DEBUG - Activity 79595: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,812 - acbm.assigning - DEBUG - Activity 79595: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,812 - acbm.assigning - DEBUG - Activity 79595: sampling based on floor area\n", - "2024-05-14 18:29:29,813 - acbm.assigning - DEBUG - Activity 79596: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,815 - acbm.assigning - DEBUG - Activity 79596: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,816 - acbm.assigning - DEBUG - Activity 79596: sampling based on floor area\n", - "2024-05-14 18:29:29,817 - acbm.assigning - DEBUG - Activity 79599: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,819 - acbm.assigning - DEBUG - Activity 79599: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,819 - acbm.assigning - DEBUG - Activity 79599: sampling based on floor area\n", - "2024-05-14 18:29:29,820 - acbm.assigning - DEBUG - Activity 79600: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,822 - acbm.assigning - DEBUG - Activity 79600: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,822 - acbm.assigning - DEBUG - Activity 79600: sampling based on floor area\n", - "2024-05-14 18:29:29,824 - acbm.assigning - DEBUG - Activity 79602: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,826 - acbm.assigning - DEBUG - Activity 79602: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,826 - acbm.assigning - DEBUG - Activity 79602: sampling based on floor area\n", - "2024-05-14 18:29:29,827 - acbm.assigning - DEBUG - Activity 79603: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,828 - acbm.assigning - DEBUG - Activity 79603: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,829 - acbm.assigning - DEBUG - Activity 79603: sampling based on floor area\n", - "2024-05-14 18:29:29,830 - acbm.assigning - DEBUG - Activity 79607: Initial number of options for activity = 131\n", - "2024-05-14 18:29:29,832 - acbm.assigning - DEBUG - Activity 79607: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:29,833 - acbm.assigning - DEBUG - Activity 79607: sampling based on floor area\n", - "2024-05-14 18:29:29,834 - acbm.assigning - DEBUG - Activity 79608: Initial number of options for activity = 45\n", - "2024-05-14 18:29:29,837 - acbm.assigning - DEBUG - Activity 79608: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:29,838 - acbm.assigning - DEBUG - Activity 79608: sampling based on floor area\n", - "2024-05-14 18:29:29,840 - acbm.assigning - DEBUG - Activity 79609: Initial number of options for activity = 45\n", - "2024-05-14 18:29:29,844 - acbm.assigning - DEBUG - Activity 79609: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:29,845 - acbm.assigning - DEBUG - Activity 79609: sampling based on floor area\n", - "2024-05-14 18:29:29,847 - acbm.assigning - DEBUG - Activity 79610: Initial number of options for activity = 45\n", - "2024-05-14 18:29:29,851 - acbm.assigning - DEBUG - Activity 79610: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:29,852 - acbm.assigning - DEBUG - Activity 79610: sampling based on floor area\n", - "2024-05-14 18:29:29,853 - acbm.assigning - DEBUG - Activity 79616: Initial number of options for activity = 45\n", - "2024-05-14 18:29:29,855 - acbm.assigning - DEBUG - Activity 79616: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:29,856 - acbm.assigning - DEBUG - Activity 79616: sampling based on floor area\n", - "2024-05-14 18:29:29,857 - acbm.assigning - DEBUG - Activity 79617: Initial number of options for activity = 45\n", - "2024-05-14 18:29:29,860 - acbm.assigning - DEBUG - Activity 79617: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:29,861 - acbm.assigning - DEBUG - Activity 79617: sampling based on floor area\n", - "2024-05-14 18:29:29,863 - acbm.assigning - DEBUG - Activity 79675: Initial number of options for activity = 127\n", - "2024-05-14 18:29:29,865 - acbm.assigning - DEBUG - Activity 79675: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:29,866 - acbm.assigning - DEBUG - Activity 79675: sampling based on floor area\n", - "2024-05-14 18:29:29,867 - acbm.assigning - DEBUG - Activity 79677: Initial number of options for activity = 127\n", - "2024-05-14 18:29:29,869 - acbm.assigning - DEBUG - Activity 79677: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:29,870 - acbm.assigning - DEBUG - Activity 79677: sampling based on floor area\n", - "2024-05-14 18:29:29,872 - acbm.assigning - DEBUG - Activity 79679: Initial number of options for activity = 127\n", - "2024-05-14 18:29:29,874 - acbm.assigning - DEBUG - Activity 79679: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:29,875 - acbm.assigning - DEBUG - Activity 79679: sampling based on floor area\n", - "2024-05-14 18:29:29,877 - acbm.assigning - DEBUG - Activity 79681: Initial number of options for activity = 127\n", - "2024-05-14 18:29:29,878 - acbm.assigning - DEBUG - Activity 79681: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:29,879 - acbm.assigning - DEBUG - Activity 79681: sampling based on floor area\n", - "2024-05-14 18:29:29,880 - acbm.assigning - DEBUG - Activity 79884: Initial number of options for activity = 23\n", - "2024-05-14 18:29:29,882 - acbm.assigning - DEBUG - Activity 79884: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:29,883 - acbm.assigning - DEBUG - Activity 79884: sampling based on floor area\n", - "2024-05-14 18:29:29,884 - acbm.assigning - DEBUG - Activity 79886: Initial number of options for activity = 23\n", - "2024-05-14 18:29:29,886 - acbm.assigning - DEBUG - Activity 79886: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:29,887 - acbm.assigning - DEBUG - Activity 79886: sampling based on floor area\n", - "2024-05-14 18:29:29,888 - acbm.assigning - DEBUG - Activity 79888: Initial number of options for activity = 23\n", - "2024-05-14 18:29:29,891 - acbm.assigning - DEBUG - Activity 79888: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:29,892 - acbm.assigning - DEBUG - Activity 79888: sampling based on floor area\n", - "2024-05-14 18:29:29,893 - acbm.assigning - DEBUG - Activity 79889: Initial number of options for activity = 23\n", - "2024-05-14 18:29:29,896 - acbm.assigning - DEBUG - Activity 79889: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:29,897 - acbm.assigning - DEBUG - Activity 79889: sampling based on floor area\n", - "2024-05-14 18:29:29,898 - acbm.assigning - DEBUG - Activity 79892: Initial number of options for activity = 42\n", - "2024-05-14 18:29:29,902 - acbm.assigning - DEBUG - Activity 79892: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:29,903 - acbm.assigning - DEBUG - Activity 79892: sampling based on floor area\n", - "2024-05-14 18:29:29,904 - acbm.assigning - INFO - Activity 79893: No zones available\n", - "2024-05-14 18:29:29,904 - acbm.assigning - DEBUG - Activity 79997: Initial number of options for activity = 6\n", - "2024-05-14 18:29:29,906 - acbm.assigning - DEBUG - Activity 79997: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:29,907 - acbm.assigning - DEBUG - Activity 79997: sampling based on floor area\n", - "2024-05-14 18:29:29,908 - acbm.assigning - DEBUG - Activity 80123: Initial number of options for activity = 6\n", - "2024-05-14 18:29:29,911 - acbm.assigning - DEBUG - Activity 80123: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:29,912 - acbm.assigning - DEBUG - Activity 80123: sampling based on floor area\n", - "2024-05-14 18:29:29,914 - acbm.assigning - DEBUG - Activity 80125: Initial number of options for activity = 6\n", - "2024-05-14 18:29:29,917 - acbm.assigning - DEBUG - Activity 80125: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:29,917 - acbm.assigning - DEBUG - Activity 80125: sampling based on floor area\n", - "2024-05-14 18:29:29,919 - acbm.assigning - DEBUG - Activity 80129: Initial number of options for activity = 6\n", - "2024-05-14 18:29:29,921 - acbm.assigning - DEBUG - Activity 80129: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:29,922 - acbm.assigning - DEBUG - Activity 80129: sampling based on floor area\n", - "2024-05-14 18:29:29,923 - acbm.assigning - DEBUG - Activity 80134: Initial number of options for activity = 6\n", - "2024-05-14 18:29:29,925 - acbm.assigning - DEBUG - Activity 80134: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:29,926 - acbm.assigning - DEBUG - Activity 80134: sampling based on floor area\n", - "2024-05-14 18:29:29,928 - acbm.assigning - DEBUG - Activity 80136: Initial number of options for activity = 6\n", - "2024-05-14 18:29:29,932 - acbm.assigning - DEBUG - Activity 80136: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:29,933 - acbm.assigning - DEBUG - Activity 80136: sampling based on floor area\n", - "2024-05-14 18:29:29,934 - acbm.assigning - DEBUG - Activity 80501: Initial number of options for activity = 13\n", - "2024-05-14 18:29:29,936 - acbm.assigning - DEBUG - Activity 80501: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:29,937 - acbm.assigning - DEBUG - Activity 80501: sampling based on floor area\n", - "2024-05-14 18:29:29,939 - acbm.assigning - DEBUG - Activity 80503: Initial number of options for activity = 37\n", - "2024-05-14 18:29:29,941 - acbm.assigning - DEBUG - Activity 80503: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:29,942 - acbm.assigning - DEBUG - Activity 80503: sampling based on floor area\n", - "2024-05-14 18:29:29,945 - acbm.assigning - DEBUG - Activity 80505: Initial number of options for activity = 13\n", - "2024-05-14 18:29:29,948 - acbm.assigning - DEBUG - Activity 80505: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:29,950 - acbm.assigning - DEBUG - Activity 80505: sampling based on floor area\n", - "2024-05-14 18:29:29,951 - acbm.assigning - DEBUG - Activity 80572: Initial number of options for activity = 12\n", - "2024-05-14 18:29:29,955 - acbm.assigning - DEBUG - Activity 80572: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:29,956 - acbm.assigning - DEBUG - Activity 80572: sampling based on floor area\n", - "2024-05-14 18:29:29,957 - acbm.assigning - DEBUG - Activity 80573: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,960 - acbm.assigning - DEBUG - Activity 80573: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,961 - acbm.assigning - DEBUG - Activity 80573: sampling based on floor area\n", - "2024-05-14 18:29:29,963 - acbm.assigning - DEBUG - Activity 80576: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,965 - acbm.assigning - DEBUG - Activity 80576: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,966 - acbm.assigning - DEBUG - Activity 80576: sampling based on floor area\n", - "2024-05-14 18:29:29,968 - acbm.assigning - DEBUG - Activity 80583: Initial number of options for activity = 12\n", - "2024-05-14 18:29:29,971 - acbm.assigning - DEBUG - Activity 80583: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:29,972 - acbm.assigning - DEBUG - Activity 80583: sampling based on floor area\n", - "2024-05-14 18:29:29,973 - acbm.assigning - DEBUG - Activity 80584: Initial number of options for activity = 20\n", - "2024-05-14 18:29:29,977 - acbm.assigning - DEBUG - Activity 80584: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:29,978 - acbm.assigning - DEBUG - Activity 80584: sampling based on floor area\n", - "2024-05-14 18:29:29,980 - acbm.assigning - DEBUG - Activity 80585: Initial number of options for activity = 12\n", - "2024-05-14 18:29:29,983 - acbm.assigning - DEBUG - Activity 80585: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:29,984 - acbm.assigning - DEBUG - Activity 80585: sampling based on floor area\n", - "2024-05-14 18:29:29,985 - acbm.assigning - DEBUG - Activity 80641: Initial number of options for activity = 79\n", - "2024-05-14 18:29:29,987 - acbm.assigning - DEBUG - Activity 80641: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:29,988 - acbm.assigning - DEBUG - Activity 80641: sampling based on floor area\n", - "2024-05-14 18:29:29,990 - acbm.assigning - DEBUG - Activity 80645: Initial number of options for activity = 79\n", - "2024-05-14 18:29:29,992 - acbm.assigning - DEBUG - Activity 80645: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:29,992 - acbm.assigning - DEBUG - Activity 80645: sampling based on floor area\n", - "2024-05-14 18:29:29,993 - acbm.assigning - DEBUG - Activity 80647: Initial number of options for activity = 1\n", - "2024-05-14 18:29:29,995 - acbm.assigning - DEBUG - Activity 80647: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:29,996 - acbm.assigning - DEBUG - Activity 80647: sampling based on floor area\n", - "2024-05-14 18:29:29,997 - acbm.assigning - DEBUG - Activity 80649: Initial number of options for activity = 79\n", - "2024-05-14 18:29:29,999 - acbm.assigning - DEBUG - Activity 80649: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:30,000 - acbm.assigning - DEBUG - Activity 80649: sampling based on floor area\n", - "2024-05-14 18:29:30,002 - acbm.assigning - DEBUG - Activity 80651: Initial number of options for activity = 39\n", - "2024-05-14 18:29:30,006 - acbm.assigning - DEBUG - Activity 80651: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:30,007 - acbm.assigning - DEBUG - Activity 80651: sampling based on floor area\n", - "2024-05-14 18:29:30,009 - acbm.assigning - DEBUG - Activity 80652: Initial number of options for activity = 39\n", - "2024-05-14 18:29:30,012 - acbm.assigning - DEBUG - Activity 80652: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:30,013 - acbm.assigning - DEBUG - Activity 80652: sampling based on floor area\n", - "2024-05-14 18:29:30,015 - acbm.assigning - DEBUG - Activity 80653: Initial number of options for activity = 79\n", - "2024-05-14 18:29:30,018 - acbm.assigning - DEBUG - Activity 80653: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:30,020 - acbm.assigning - DEBUG - Activity 80653: sampling based on floor area\n", - "2024-05-14 18:29:30,021 - acbm.assigning - DEBUG - Activity 80655: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,024 - acbm.assigning - DEBUG - Activity 80655: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,025 - acbm.assigning - DEBUG - Activity 80655: sampling based on floor area\n", - "2024-05-14 18:29:30,026 - acbm.assigning - DEBUG - Activity 80657: Initial number of options for activity = 33\n", - "2024-05-14 18:29:30,029 - acbm.assigning - DEBUG - Activity 80657: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:30,032 - acbm.assigning - DEBUG - Activity 80657: sampling based on floor area\n", - "2024-05-14 18:29:30,034 - acbm.assigning - DEBUG - Activity 80659: Initial number of options for activity = 33\n", - "2024-05-14 18:29:30,036 - acbm.assigning - DEBUG - Activity 80659: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:30,037 - acbm.assigning - DEBUG - Activity 80659: sampling based on floor area\n", - "2024-05-14 18:29:30,038 - acbm.assigning - DEBUG - Activity 80661: Initial number of options for activity = 3\n", - "2024-05-14 18:29:30,040 - acbm.assigning - DEBUG - Activity 80661: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:30,040 - acbm.assigning - DEBUG - Activity 80661: sampling based on floor area\n", - "2024-05-14 18:29:30,041 - acbm.assigning - DEBUG - Activity 80707: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,044 - acbm.assigning - DEBUG - Activity 80707: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,045 - acbm.assigning - DEBUG - Activity 80707: sampling based on floor area\n", - "2024-05-14 18:29:30,046 - acbm.assigning - DEBUG - Activity 80715: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,048 - acbm.assigning - DEBUG - Activity 80715: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,048 - acbm.assigning - DEBUG - Activity 80715: sampling based on floor area\n", - "2024-05-14 18:29:30,049 - acbm.assigning - DEBUG - Activity 80848: Initial number of options for activity = 10\n", - "2024-05-14 18:29:30,051 - acbm.assigning - DEBUG - Activity 80848: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:30,051 - acbm.assigning - DEBUG - Activity 80848: sampling based on floor area\n", - "2024-05-14 18:29:30,052 - acbm.assigning - DEBUG - Activity 80858: Initial number of options for activity = 17\n", - "2024-05-14 18:29:30,054 - acbm.assigning - DEBUG - Activity 80858: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:30,054 - acbm.assigning - DEBUG - Activity 80858: sampling based on floor area\n", - "2024-05-14 18:29:30,055 - acbm.assigning - DEBUG - Activity 80863: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,057 - acbm.assigning - DEBUG - Activity 80863: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,057 - acbm.assigning - DEBUG - Activity 80863: sampling based on floor area\n", - "2024-05-14 18:29:30,058 - acbm.assigning - DEBUG - Activity 80867: Initial number of options for activity = 10\n", - "2024-05-14 18:29:30,060 - acbm.assigning - DEBUG - Activity 80867: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:30,062 - acbm.assigning - DEBUG - Activity 80867: sampling based on floor area\n", - "2024-05-14 18:29:30,063 - acbm.assigning - DEBUG - Activity 80890: Initial number of options for activity = 10\n", - "2024-05-14 18:29:30,065 - acbm.assigning - DEBUG - Activity 80890: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:30,065 - acbm.assigning - DEBUG - Activity 80890: sampling based on floor area\n", - "2024-05-14 18:29:30,066 - acbm.assigning - DEBUG - Activity 80895: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,067 - acbm.assigning - DEBUG - Activity 80895: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,068 - acbm.assigning - DEBUG - Activity 80895: sampling based on floor area\n", - "2024-05-14 18:29:30,069 - acbm.assigning - DEBUG - Activity 80898: Initial number of options for activity = 17\n", - "2024-05-14 18:29:30,071 - acbm.assigning - DEBUG - Activity 80898: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:30,072 - acbm.assigning - DEBUG - Activity 80898: sampling based on floor area\n", - "2024-05-14 18:29:30,073 - acbm.assigning - DEBUG - Activity 80910: Initial number of options for activity = 10\n", - "2024-05-14 18:29:30,075 - acbm.assigning - DEBUG - Activity 80910: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:30,076 - acbm.assigning - DEBUG - Activity 80910: sampling based on floor area\n", - "2024-05-14 18:29:30,078 - acbm.assigning - DEBUG - Activity 80921: Initial number of options for activity = 41\n", - "2024-05-14 18:29:30,080 - acbm.assigning - DEBUG - Activity 80921: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:30,081 - acbm.assigning - DEBUG - Activity 80921: sampling based on floor area\n", - "2024-05-14 18:29:30,082 - acbm.assigning - DEBUG - Activity 80922: Initial number of options for activity = 41\n", - "2024-05-14 18:29:30,085 - acbm.assigning - DEBUG - Activity 80922: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:30,086 - acbm.assigning - DEBUG - Activity 80922: sampling based on floor area\n", - "2024-05-14 18:29:30,087 - acbm.assigning - DEBUG - Activity 80927: Initial number of options for activity = 40\n", - "2024-05-14 18:29:30,090 - acbm.assigning - DEBUG - Activity 80927: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:30,091 - acbm.assigning - DEBUG - Activity 80927: sampling based on floor area\n", - "2024-05-14 18:29:30,093 - acbm.assigning - DEBUG - Activity 80939: Initial number of options for activity = 45\n", - "2024-05-14 18:29:30,096 - acbm.assigning - DEBUG - Activity 80939: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:30,096 - acbm.assigning - DEBUG - Activity 80939: sampling based on floor area\n", - "2024-05-14 18:29:30,098 - acbm.assigning - DEBUG - Activity 80943: Initial number of options for activity = 47\n", - "2024-05-14 18:29:30,100 - acbm.assigning - DEBUG - Activity 80943: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:30,101 - acbm.assigning - DEBUG - Activity 80943: sampling based on floor area\n", - "2024-05-14 18:29:30,102 - acbm.assigning - INFO - Activity 81015: No zones available\n", - "2024-05-14 18:29:30,102 - acbm.assigning - INFO - Activity 81017: No zones available\n", - "2024-05-14 18:29:30,103 - acbm.assigning - DEBUG - Activity 81032: Initial number of options for activity = 157\n", - "2024-05-14 18:29:30,105 - acbm.assigning - DEBUG - Activity 81032: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:30,106 - acbm.assigning - DEBUG - Activity 81032: sampling based on floor area\n", - "2024-05-14 18:29:30,107 - acbm.assigning - DEBUG - Activity 81034: Initial number of options for activity = 157\n", - "2024-05-14 18:29:30,109 - acbm.assigning - DEBUG - Activity 81034: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:30,109 - acbm.assigning - DEBUG - Activity 81034: sampling based on floor area\n", - "2024-05-14 18:29:30,110 - acbm.assigning - DEBUG - Activity 81036: Initial number of options for activity = 139\n", - "2024-05-14 18:29:30,113 - acbm.assigning - DEBUG - Activity 81036: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:30,114 - acbm.assigning - DEBUG - Activity 81036: sampling based on floor area\n", - "2024-05-14 18:29:30,115 - acbm.assigning - DEBUG - Activity 81038: Initial number of options for activity = 157\n", - "2024-05-14 18:29:30,116 - acbm.assigning - DEBUG - Activity 81038: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:30,117 - acbm.assigning - DEBUG - Activity 81038: sampling based on floor area\n", - "2024-05-14 18:29:30,118 - acbm.assigning - DEBUG - Activity 81040: Initial number of options for activity = 139\n", - "2024-05-14 18:29:30,120 - acbm.assigning - DEBUG - Activity 81040: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:30,121 - acbm.assigning - DEBUG - Activity 81040: sampling based on floor area\n", - "2024-05-14 18:29:30,122 - acbm.assigning - DEBUG - Activity 81408: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,123 - acbm.assigning - DEBUG - Activity 81408: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,124 - acbm.assigning - DEBUG - Activity 81408: sampling based on floor area\n", - "2024-05-14 18:29:30,125 - acbm.assigning - INFO - Activity 81462: No zones available\n", - "2024-05-14 18:29:30,125 - acbm.assigning - DEBUG - Activity 81536: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,128 - acbm.assigning - DEBUG - Activity 81536: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,129 - acbm.assigning - DEBUG - Activity 81536: sampling based on floor area\n", - "2024-05-14 18:29:30,130 - acbm.assigning - DEBUG - Activity 81538: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,132 - acbm.assigning - DEBUG - Activity 81538: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,134 - acbm.assigning - DEBUG - Activity 81538: sampling based on floor area\n", - "2024-05-14 18:29:30,135 - acbm.assigning - DEBUG - Activity 81539: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,137 - acbm.assigning - DEBUG - Activity 81539: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,138 - acbm.assigning - DEBUG - Activity 81539: sampling based on floor area\n", - "2024-05-14 18:29:30,139 - acbm.assigning - DEBUG - Activity 81542: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,142 - acbm.assigning - DEBUG - Activity 81542: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,143 - acbm.assigning - DEBUG - Activity 81542: sampling based on floor area\n", - "2024-05-14 18:29:30,145 - acbm.assigning - DEBUG - Activity 81543: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,148 - acbm.assigning - DEBUG - Activity 81543: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,149 - acbm.assigning - DEBUG - Activity 81543: sampling based on floor area\n", - "2024-05-14 18:29:30,150 - acbm.assigning - INFO - Activity 81614: No zones available\n", - "2024-05-14 18:29:30,151 - acbm.assigning - DEBUG - Activity 81964: Initial number of options for activity = 93\n", - "2024-05-14 18:29:30,153 - acbm.assigning - DEBUG - Activity 81964: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:30,154 - acbm.assigning - DEBUG - Activity 81964: sampling based on floor area\n", - "2024-05-14 18:29:30,155 - acbm.assigning - DEBUG - Activity 81966: Initial number of options for activity = 93\n", - "2024-05-14 18:29:30,157 - acbm.assigning - DEBUG - Activity 81966: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:30,158 - acbm.assigning - DEBUG - Activity 81966: sampling based on floor area\n", - "2024-05-14 18:29:30,159 - acbm.assigning - DEBUG - Activity 81970: Initial number of options for activity = 93\n", - "2024-05-14 18:29:30,162 - acbm.assigning - DEBUG - Activity 81970: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:30,163 - acbm.assigning - DEBUG - Activity 81970: sampling based on floor area\n", - "2024-05-14 18:29:30,164 - acbm.assigning - DEBUG - Activity 81972: Initial number of options for activity = 93\n", - "2024-05-14 18:29:30,167 - acbm.assigning - DEBUG - Activity 81972: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:30,168 - acbm.assigning - DEBUG - Activity 81972: sampling based on floor area\n", - "2024-05-14 18:29:30,170 - acbm.assigning - DEBUG - Activity 81974: Initial number of options for activity = 93\n", - "2024-05-14 18:29:30,172 - acbm.assigning - DEBUG - Activity 81974: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:30,173 - acbm.assigning - DEBUG - Activity 81974: sampling based on floor area\n", - "2024-05-14 18:29:30,175 - acbm.assigning - DEBUG - Activity 82202: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,177 - acbm.assigning - DEBUG - Activity 82202: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,178 - acbm.assigning - DEBUG - Activity 82202: sampling based on floor area\n", - "2024-05-14 18:29:30,182 - acbm.assigning - DEBUG - Activity 82204: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,189 - acbm.assigning - DEBUG - Activity 82204: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,191 - acbm.assigning - DEBUG - Activity 82204: sampling based on floor area\n", - "2024-05-14 18:29:30,192 - acbm.assigning - DEBUG - Activity 82207: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,195 - acbm.assigning - DEBUG - Activity 82207: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,196 - acbm.assigning - DEBUG - Activity 82207: sampling based on floor area\n", - "2024-05-14 18:29:30,199 - acbm.assigning - DEBUG - Activity 82208: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,203 - acbm.assigning - DEBUG - Activity 82208: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,208 - acbm.assigning - DEBUG - Activity 82208: sampling based on floor area\n", - "2024-05-14 18:29:30,210 - acbm.assigning - DEBUG - Activity 82469: Initial number of options for activity = 71\n", - "2024-05-14 18:29:30,213 - acbm.assigning - DEBUG - Activity 82469: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:30,214 - acbm.assigning - DEBUG - Activity 82469: sampling based on floor area\n", - "2024-05-14 18:29:30,216 - acbm.assigning - DEBUG - Activity 82471: Initial number of options for activity = 71\n", - "2024-05-14 18:29:30,219 - acbm.assigning - DEBUG - Activity 82471: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:30,220 - acbm.assigning - DEBUG - Activity 82471: sampling based on floor area\n", - "2024-05-14 18:29:30,222 - acbm.assigning - DEBUG - Activity 82475: Initial number of options for activity = 71\n", - "2024-05-14 18:29:30,224 - acbm.assigning - DEBUG - Activity 82475: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:30,225 - acbm.assigning - DEBUG - Activity 82475: sampling based on floor area\n", - "2024-05-14 18:29:30,227 - acbm.assigning - DEBUG - Activity 82477: Initial number of options for activity = 71\n", - "2024-05-14 18:29:30,231 - acbm.assigning - DEBUG - Activity 82477: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:30,232 - acbm.assigning - DEBUG - Activity 82477: sampling based on floor area\n", - "2024-05-14 18:29:30,234 - acbm.assigning - DEBUG - Activity 82479: Initial number of options for activity = 71\n", - "2024-05-14 18:29:30,239 - acbm.assigning - DEBUG - Activity 82479: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:30,240 - acbm.assigning - DEBUG - Activity 82479: sampling based on floor area\n", - "2024-05-14 18:29:30,243 - acbm.assigning - DEBUG - Activity 82539: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,246 - acbm.assigning - DEBUG - Activity 82539: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,247 - acbm.assigning - DEBUG - Activity 82539: sampling based on floor area\n", - "2024-05-14 18:29:30,249 - acbm.assigning - DEBUG - Activity 82543: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,253 - acbm.assigning - DEBUG - Activity 82543: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,254 - acbm.assigning - DEBUG - Activity 82543: sampling based on floor area\n", - "2024-05-14 18:29:30,257 - acbm.assigning - DEBUG - Activity 82547: Initial number of options for activity = 10\n", - "2024-05-14 18:29:30,260 - acbm.assigning - DEBUG - Activity 82547: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:30,261 - acbm.assigning - DEBUG - Activity 82547: sampling based on floor area\n", - "2024-05-14 18:29:30,264 - acbm.assigning - DEBUG - Activity 82549: Initial number of options for activity = 10\n", - "2024-05-14 18:29:30,267 - acbm.assigning - DEBUG - Activity 82549: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:30,268 - acbm.assigning - DEBUG - Activity 82549: sampling based on floor area\n", - "2024-05-14 18:29:30,271 - acbm.assigning - DEBUG - Activity 82551: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,274 - acbm.assigning - DEBUG - Activity 82551: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,276 - acbm.assigning - DEBUG - Activity 82551: sampling based on floor area\n", - "2024-05-14 18:29:30,283 - acbm.assigning - DEBUG - Activity 82655: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,290 - acbm.assigning - DEBUG - Activity 82655: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,297 - acbm.assigning - DEBUG - Activity 82655: sampling based on floor area\n", - "2024-05-14 18:29:30,299 - acbm.assigning - DEBUG - Activity 82657: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,301 - acbm.assigning - DEBUG - Activity 82657: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,302 - acbm.assigning - DEBUG - Activity 82657: sampling based on floor area\n", - "2024-05-14 18:29:30,303 - acbm.assigning - DEBUG - Activity 82659: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,306 - acbm.assigning - DEBUG - Activity 82659: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,307 - acbm.assigning - DEBUG - Activity 82659: sampling based on floor area\n", - "2024-05-14 18:29:30,308 - acbm.assigning - DEBUG - Activity 82661: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,311 - acbm.assigning - DEBUG - Activity 82661: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,312 - acbm.assigning - DEBUG - Activity 82661: sampling based on floor area\n", - "2024-05-14 18:29:30,313 - acbm.assigning - DEBUG - Activity 82704: Initial number of options for activity = 121\n", - "2024-05-14 18:29:30,316 - acbm.assigning - DEBUG - Activity 82704: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:30,316 - acbm.assigning - DEBUG - Activity 82704: sampling based on floor area\n", - "2024-05-14 18:29:30,317 - acbm.assigning - DEBUG - Activity 82706: Initial number of options for activity = 121\n", - "2024-05-14 18:29:30,319 - acbm.assigning - DEBUG - Activity 82706: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:30,320 - acbm.assigning - DEBUG - Activity 82706: sampling based on floor area\n", - "2024-05-14 18:29:30,321 - acbm.assigning - DEBUG - Activity 82708: Initial number of options for activity = 121\n", - "2024-05-14 18:29:30,323 - acbm.assigning - DEBUG - Activity 82708: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:30,324 - acbm.assigning - DEBUG - Activity 82708: sampling based on floor area\n", - "2024-05-14 18:29:30,325 - acbm.assigning - DEBUG - Activity 82710: Initial number of options for activity = 121\n", - "2024-05-14 18:29:30,327 - acbm.assigning - DEBUG - Activity 82710: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:30,328 - acbm.assigning - DEBUG - Activity 82710: sampling based on floor area\n", - "2024-05-14 18:29:30,330 - acbm.assigning - DEBUG - Activity 82768: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,332 - acbm.assigning - DEBUG - Activity 82768: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,334 - acbm.assigning - DEBUG - Activity 82768: sampling based on floor area\n", - "2024-05-14 18:29:30,336 - acbm.assigning - DEBUG - Activity 82770: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,341 - acbm.assigning - DEBUG - Activity 82770: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,342 - acbm.assigning - DEBUG - Activity 82770: sampling based on floor area\n", - "2024-05-14 18:29:30,343 - acbm.assigning - DEBUG - Activity 82772: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,346 - acbm.assigning - DEBUG - Activity 82772: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,347 - acbm.assigning - DEBUG - Activity 82772: sampling based on floor area\n", - "2024-05-14 18:29:30,349 - acbm.assigning - DEBUG - Activity 82774: Initial number of options for activity = 115\n", - "2024-05-14 18:29:30,352 - acbm.assigning - DEBUG - Activity 82774: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:30,352 - acbm.assigning - DEBUG - Activity 82774: sampling based on floor area\n", - "2024-05-14 18:29:30,354 - acbm.assigning - DEBUG - Activity 82830: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,357 - acbm.assigning - DEBUG - Activity 82830: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,357 - acbm.assigning - DEBUG - Activity 82830: sampling based on floor area\n", - "2024-05-14 18:29:30,359 - acbm.assigning - DEBUG - Activity 82838: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,360 - acbm.assigning - DEBUG - Activity 82838: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,361 - acbm.assigning - DEBUG - Activity 82838: sampling based on floor area\n", - "2024-05-14 18:29:30,362 - acbm.assigning - DEBUG - Activity 82881: Initial number of options for activity = 51\n", - "2024-05-14 18:29:30,363 - acbm.assigning - DEBUG - Activity 82881: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:30,364 - acbm.assigning - DEBUG - Activity 82881: sampling based on floor area\n", - "2024-05-14 18:29:30,365 - acbm.assigning - DEBUG - Activity 82883: Initial number of options for activity = 51\n", - "2024-05-14 18:29:30,366 - acbm.assigning - DEBUG - Activity 82883: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:30,367 - acbm.assigning - DEBUG - Activity 82883: sampling based on floor area\n", - "2024-05-14 18:29:30,367 - acbm.assigning - DEBUG - Activity 82885: Initial number of options for activity = 51\n", - "2024-05-14 18:29:30,369 - acbm.assigning - DEBUG - Activity 82885: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:30,370 - acbm.assigning - DEBUG - Activity 82885: sampling based on floor area\n", - "2024-05-14 18:29:30,370 - acbm.assigning - DEBUG - Activity 82889: Initial number of options for activity = 51\n", - "2024-05-14 18:29:30,372 - acbm.assigning - DEBUG - Activity 82889: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:30,373 - acbm.assigning - DEBUG - Activity 82889: sampling based on floor area\n", - "2024-05-14 18:29:30,374 - acbm.assigning - DEBUG - Activity 82891: Initial number of options for activity = 51\n", - "2024-05-14 18:29:30,375 - acbm.assigning - DEBUG - Activity 82891: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:30,376 - acbm.assigning - DEBUG - Activity 82891: sampling based on floor area\n", - "2024-05-14 18:29:30,377 - acbm.assigning - DEBUG - Activity 82895: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,378 - acbm.assigning - DEBUG - Activity 82895: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,379 - acbm.assigning - DEBUG - Activity 82895: sampling based on floor area\n", - "2024-05-14 18:29:30,380 - acbm.assigning - DEBUG - Activity 82897: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,381 - acbm.assigning - DEBUG - Activity 82897: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,382 - acbm.assigning - DEBUG - Activity 82897: sampling based on floor area\n", - "2024-05-14 18:29:30,383 - acbm.assigning - DEBUG - Activity 82899: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,385 - acbm.assigning - DEBUG - Activity 82899: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,385 - acbm.assigning - DEBUG - Activity 82899: sampling based on floor area\n", - "2024-05-14 18:29:30,386 - acbm.assigning - DEBUG - Activity 82903: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,388 - acbm.assigning - DEBUG - Activity 82903: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,389 - acbm.assigning - DEBUG - Activity 82903: sampling based on floor area\n", - "2024-05-14 18:29:30,390 - acbm.assigning - DEBUG - Activity 82905: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,391 - acbm.assigning - DEBUG - Activity 82905: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,392 - acbm.assigning - DEBUG - Activity 82905: sampling based on floor area\n", - "2024-05-14 18:29:30,393 - acbm.assigning - DEBUG - Activity 83231: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,395 - acbm.assigning - DEBUG - Activity 83231: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,396 - acbm.assigning - DEBUG - Activity 83231: sampling based on floor area\n", - "2024-05-14 18:29:30,397 - acbm.assigning - DEBUG - Activity 83233: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,398 - acbm.assigning - DEBUG - Activity 83233: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,399 - acbm.assigning - DEBUG - Activity 83233: sampling based on floor area\n", - "2024-05-14 18:29:30,400 - acbm.assigning - DEBUG - Activity 83235: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,401 - acbm.assigning - DEBUG - Activity 83235: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,402 - acbm.assigning - DEBUG - Activity 83235: sampling based on floor area\n", - "2024-05-14 18:29:30,403 - acbm.assigning - DEBUG - Activity 83237: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,405 - acbm.assigning - DEBUG - Activity 83237: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,405 - acbm.assigning - DEBUG - Activity 83237: sampling based on floor area\n", - "2024-05-14 18:29:30,407 - acbm.assigning - DEBUG - Activity 83239: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,409 - acbm.assigning - DEBUG - Activity 83239: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,410 - acbm.assigning - DEBUG - Activity 83239: sampling based on floor area\n", - "2024-05-14 18:29:30,411 - acbm.assigning - DEBUG - Activity 83278: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,413 - acbm.assigning - DEBUG - Activity 83278: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,413 - acbm.assigning - DEBUG - Activity 83278: sampling based on floor area\n", - "2024-05-14 18:29:30,414 - acbm.assigning - DEBUG - Activity 83282: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,416 - acbm.assigning - DEBUG - Activity 83282: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,417 - acbm.assigning - DEBUG - Activity 83282: sampling based on floor area\n", - "2024-05-14 18:29:30,418 - acbm.assigning - DEBUG - Activity 83284: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,419 - acbm.assigning - DEBUG - Activity 83284: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,420 - acbm.assigning - DEBUG - Activity 83284: sampling based on floor area\n", - "2024-05-14 18:29:30,421 - acbm.assigning - DEBUG - Activity 83286: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,423 - acbm.assigning - DEBUG - Activity 83286: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,424 - acbm.assigning - DEBUG - Activity 83286: sampling based on floor area\n", - "2024-05-14 18:29:30,425 - acbm.assigning - DEBUG - Activity 83391: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,428 - acbm.assigning - DEBUG - Activity 83391: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,429 - acbm.assigning - DEBUG - Activity 83391: sampling based on floor area\n", - "2024-05-14 18:29:30,430 - acbm.assigning - DEBUG - Activity 83422: Initial number of options for activity = 8\n", - "2024-05-14 18:29:30,433 - acbm.assigning - DEBUG - Activity 83422: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:30,434 - acbm.assigning - DEBUG - Activity 83422: sampling based on floor area\n", - "2024-05-14 18:29:30,435 - acbm.assigning - DEBUG - Activity 83643: Initial number of options for activity = 12\n", - "2024-05-14 18:29:30,438 - acbm.assigning - DEBUG - Activity 83643: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:30,438 - acbm.assigning - DEBUG - Activity 83643: sampling based on floor area\n", - "2024-05-14 18:29:30,440 - acbm.assigning - DEBUG - Activity 83648: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,443 - acbm.assigning - DEBUG - Activity 83648: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,444 - acbm.assigning - DEBUG - Activity 83648: sampling based on floor area\n", - "2024-05-14 18:29:30,446 - acbm.assigning - DEBUG - Activity 83649: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,449 - acbm.assigning - DEBUG - Activity 83649: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,450 - acbm.assigning - DEBUG - Activity 83649: sampling based on floor area\n", - "2024-05-14 18:29:30,452 - acbm.assigning - DEBUG - Activity 83650: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,454 - acbm.assigning - DEBUG - Activity 83650: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,455 - acbm.assigning - DEBUG - Activity 83650: sampling based on floor area\n", - "2024-05-14 18:29:30,457 - acbm.assigning - DEBUG - Activity 83653: Initial number of options for activity = 40\n", - "2024-05-14 18:29:30,461 - acbm.assigning - DEBUG - Activity 83653: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:30,462 - acbm.assigning - DEBUG - Activity 83653: sampling based on floor area\n", - "2024-05-14 18:29:30,466 - acbm.assigning - DEBUG - Activity 83654: Initial number of options for activity = 40\n", - "2024-05-14 18:29:30,469 - acbm.assigning - DEBUG - Activity 83654: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:30,470 - acbm.assigning - DEBUG - Activity 83654: sampling based on floor area\n", - "2024-05-14 18:29:30,472 - acbm.assigning - DEBUG - Activity 83657: Initial number of options for activity = 40\n", - "2024-05-14 18:29:30,475 - acbm.assigning - DEBUG - Activity 83657: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:30,477 - acbm.assigning - DEBUG - Activity 83657: sampling based on floor area\n", - "2024-05-14 18:29:30,479 - acbm.assigning - DEBUG - Activity 83951: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,482 - acbm.assigning - DEBUG - Activity 83951: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,483 - acbm.assigning - DEBUG - Activity 83951: sampling based on floor area\n", - "2024-05-14 18:29:30,485 - acbm.assigning - DEBUG - Activity 83952: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,488 - acbm.assigning - DEBUG - Activity 83952: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,489 - acbm.assigning - DEBUG - Activity 83952: sampling based on floor area\n", - "2024-05-14 18:29:30,490 - acbm.assigning - DEBUG - Activity 83953: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,495 - acbm.assigning - DEBUG - Activity 83953: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,496 - acbm.assigning - DEBUG - Activity 83953: sampling based on floor area\n", - "2024-05-14 18:29:30,498 - acbm.assigning - DEBUG - Activity 83960: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,501 - acbm.assigning - DEBUG - Activity 83960: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,503 - acbm.assigning - DEBUG - Activity 83960: sampling based on floor area\n", - "2024-05-14 18:29:30,506 - acbm.assigning - DEBUG - Activity 83961: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,510 - acbm.assigning - DEBUG - Activity 83961: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,511 - acbm.assigning - DEBUG - Activity 83961: sampling based on floor area\n", - "2024-05-14 18:29:30,514 - acbm.assigning - INFO - Activity 84100: No zones available\n", - "2024-05-14 18:29:30,515 - acbm.assigning - DEBUG - Activity 84104: Initial number of options for activity = 23\n", - "2024-05-14 18:29:30,518 - acbm.assigning - DEBUG - Activity 84104: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:30,520 - acbm.assigning - DEBUG - Activity 84104: sampling based on floor area\n", - "2024-05-14 18:29:30,522 - acbm.assigning - INFO - Activity 84106: No zones available\n", - "2024-05-14 18:29:30,524 - acbm.assigning - DEBUG - Activity 84303: Initial number of options for activity = 171\n", - "2024-05-14 18:29:30,528 - acbm.assigning - DEBUG - Activity 84303: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:30,529 - acbm.assigning - DEBUG - Activity 84303: sampling based on floor area\n", - "2024-05-14 18:29:30,531 - acbm.assigning - DEBUG - Activity 84305: Initial number of options for activity = 49\n", - "2024-05-14 18:29:30,535 - acbm.assigning - DEBUG - Activity 84305: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:30,537 - acbm.assigning - DEBUG - Activity 84305: sampling based on floor area\n", - "2024-05-14 18:29:30,539 - acbm.assigning - DEBUG - Activity 84309: Initial number of options for activity = 37\n", - "2024-05-14 18:29:30,542 - acbm.assigning - DEBUG - Activity 84309: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:30,543 - acbm.assigning - DEBUG - Activity 84309: sampling based on floor area\n", - "2024-05-14 18:29:30,545 - acbm.assigning - DEBUG - Activity 84310: Initial number of options for activity = 166\n", - "2024-05-14 18:29:30,549 - acbm.assigning - DEBUG - Activity 84310: Number of options after filtering by education type: 166\n", - "2024-05-14 18:29:30,550 - acbm.assigning - DEBUG - Activity 84310: sampling based on floor area\n", - "2024-05-14 18:29:30,552 - acbm.assigning - DEBUG - Activity 84315: Initial number of options for activity = 155\n", - "2024-05-14 18:29:30,556 - acbm.assigning - DEBUG - Activity 84315: Number of options after filtering by education type: 155\n", - "2024-05-14 18:29:30,558 - acbm.assigning - DEBUG - Activity 84315: sampling based on floor area\n", - "2024-05-14 18:29:30,559 - acbm.assigning - DEBUG - Activity 84387: Initial number of options for activity = 113\n", - "2024-05-14 18:29:30,563 - acbm.assigning - DEBUG - Activity 84387: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:30,564 - acbm.assigning - DEBUG - Activity 84387: sampling based on floor area\n", - "2024-05-14 18:29:30,565 - acbm.assigning - DEBUG - Activity 84424: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,568 - acbm.assigning - DEBUG - Activity 84424: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,569 - acbm.assigning - DEBUG - Activity 84424: sampling based on floor area\n", - "2024-05-14 18:29:30,570 - acbm.assigning - DEBUG - Activity 84426: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,573 - acbm.assigning - DEBUG - Activity 84426: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,576 - acbm.assigning - DEBUG - Activity 84426: sampling based on floor area\n", - "2024-05-14 18:29:30,577 - acbm.assigning - DEBUG - Activity 84428: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,580 - acbm.assigning - DEBUG - Activity 84428: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,581 - acbm.assigning - DEBUG - Activity 84428: sampling based on floor area\n", - "2024-05-14 18:29:30,583 - acbm.assigning - DEBUG - Activity 84430: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,586 - acbm.assigning - DEBUG - Activity 84430: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,587 - acbm.assigning - DEBUG - Activity 84430: sampling based on floor area\n", - "2024-05-14 18:29:30,588 - acbm.assigning - DEBUG - Activity 84432: Initial number of options for activity = 111\n", - "2024-05-14 18:29:30,590 - acbm.assigning - DEBUG - Activity 84432: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:30,592 - acbm.assigning - DEBUG - Activity 84432: sampling based on floor area\n", - "2024-05-14 18:29:30,593 - acbm.assigning - DEBUG - Activity 84437: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,596 - acbm.assigning - DEBUG - Activity 84437: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,597 - acbm.assigning - DEBUG - Activity 84437: sampling based on floor area\n", - "2024-05-14 18:29:30,598 - acbm.assigning - DEBUG - Activity 84440: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,601 - acbm.assigning - DEBUG - Activity 84440: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,602 - acbm.assigning - DEBUG - Activity 84440: sampling based on floor area\n", - "2024-05-14 18:29:30,603 - acbm.assigning - DEBUG - Activity 84443: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,605 - acbm.assigning - DEBUG - Activity 84443: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,606 - acbm.assigning - DEBUG - Activity 84443: sampling based on floor area\n", - "2024-05-14 18:29:30,607 - acbm.assigning - DEBUG - Activity 84446: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,609 - acbm.assigning - DEBUG - Activity 84446: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,610 - acbm.assigning - DEBUG - Activity 84446: sampling based on floor area\n", - "2024-05-14 18:29:30,612 - acbm.assigning - DEBUG - Activity 84449: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,613 - acbm.assigning - DEBUG - Activity 84449: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,614 - acbm.assigning - DEBUG - Activity 84449: sampling based on floor area\n", - "2024-05-14 18:29:30,615 - acbm.assigning - INFO - Activity 84504: No zones available\n", - "2024-05-14 18:29:30,616 - acbm.assigning - INFO - Activity 84508: No zones available\n", - "2024-05-14 18:29:30,616 - acbm.assigning - INFO - Activity 84515: No zones available\n", - "2024-05-14 18:29:30,616 - acbm.assigning - INFO - Activity 84517: No zones available\n", - "2024-05-14 18:29:30,617 - acbm.assigning - DEBUG - Activity 84652: Initial number of options for activity = 4\n", - "2024-05-14 18:29:30,619 - acbm.assigning - DEBUG - Activity 84652: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:30,619 - acbm.assigning - DEBUG - Activity 84652: sampling based on floor area\n", - "2024-05-14 18:29:30,620 - acbm.assigning - DEBUG - Activity 84653: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,622 - acbm.assigning - DEBUG - Activity 84653: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,622 - acbm.assigning - DEBUG - Activity 84653: sampling based on floor area\n", - "2024-05-14 18:29:30,623 - acbm.assigning - DEBUG - Activity 84654: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,626 - acbm.assigning - DEBUG - Activity 84654: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,626 - acbm.assigning - DEBUG - Activity 84654: sampling based on floor area\n", - "2024-05-14 18:29:30,627 - acbm.assigning - DEBUG - Activity 84658: Initial number of options for activity = 4\n", - "2024-05-14 18:29:30,629 - acbm.assigning - DEBUG - Activity 84658: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:30,630 - acbm.assigning - DEBUG - Activity 84658: sampling based on floor area\n", - "2024-05-14 18:29:30,631 - acbm.assigning - DEBUG - Activity 84661: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,632 - acbm.assigning - DEBUG - Activity 84661: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,633 - acbm.assigning - DEBUG - Activity 84661: sampling based on floor area\n", - "2024-05-14 18:29:30,634 - acbm.assigning - DEBUG - Activity 84675: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,635 - acbm.assigning - DEBUG - Activity 84675: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,635 - acbm.assigning - DEBUG - Activity 84675: sampling based on floor area\n", - "2024-05-14 18:29:30,637 - acbm.assigning - DEBUG - Activity 84945: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,639 - acbm.assigning - DEBUG - Activity 84945: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,639 - acbm.assigning - DEBUG - Activity 84945: sampling based on floor area\n", - "2024-05-14 18:29:30,640 - acbm.assigning - DEBUG - Activity 84947: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,642 - acbm.assigning - DEBUG - Activity 84947: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,643 - acbm.assigning - DEBUG - Activity 84947: sampling based on floor area\n", - "2024-05-14 18:29:30,644 - acbm.assigning - DEBUG - Activity 84951: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,646 - acbm.assigning - DEBUG - Activity 84951: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,647 - acbm.assigning - DEBUG - Activity 84951: sampling based on floor area\n", - "2024-05-14 18:29:30,648 - acbm.assigning - DEBUG - Activity 84953: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,649 - acbm.assigning - DEBUG - Activity 84953: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,650 - acbm.assigning - DEBUG - Activity 84953: sampling based on floor area\n", - "2024-05-14 18:29:30,651 - acbm.assigning - DEBUG - Activity 84955: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,653 - acbm.assigning - DEBUG - Activity 84955: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,654 - acbm.assigning - DEBUG - Activity 84955: sampling based on floor area\n", - "2024-05-14 18:29:30,654 - acbm.assigning - DEBUG - Activity 85239: Initial number of options for activity = 7\n", - "2024-05-14 18:29:30,656 - acbm.assigning - DEBUG - Activity 85239: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:30,656 - acbm.assigning - DEBUG - Activity 85239: sampling based on floor area\n", - "2024-05-14 18:29:30,658 - acbm.assigning - DEBUG - Activity 85241: Initial number of options for activity = 7\n", - "2024-05-14 18:29:30,660 - acbm.assigning - DEBUG - Activity 85241: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:30,660 - acbm.assigning - DEBUG - Activity 85241: sampling based on floor area\n", - "2024-05-14 18:29:30,661 - acbm.assigning - DEBUG - Activity 85503: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,663 - acbm.assigning - DEBUG - Activity 85503: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,663 - acbm.assigning - DEBUG - Activity 85503: sampling based on floor area\n", - "2024-05-14 18:29:30,664 - acbm.assigning - DEBUG - Activity 85509: Initial number of options for activity = 28\n", - "2024-05-14 18:29:30,666 - acbm.assigning - DEBUG - Activity 85509: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:30,666 - acbm.assigning - DEBUG - Activity 85509: sampling based on floor area\n", - "2024-05-14 18:29:30,667 - acbm.assigning - INFO - Activity 85514: No zones available\n", - "2024-05-14 18:29:30,667 - acbm.assigning - DEBUG - Activity 85517: Initial number of options for activity = 10\n", - "2024-05-14 18:29:30,669 - acbm.assigning - DEBUG - Activity 85517: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:30,669 - acbm.assigning - DEBUG - Activity 85517: sampling based on floor area\n", - "2024-05-14 18:29:30,670 - acbm.assigning - DEBUG - Activity 85604: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,672 - acbm.assigning - DEBUG - Activity 85604: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,673 - acbm.assigning - DEBUG - Activity 85604: sampling based on floor area\n", - "2024-05-14 18:29:30,673 - acbm.assigning - DEBUG - Activity 85605: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,675 - acbm.assigning - DEBUG - Activity 85605: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,676 - acbm.assigning - DEBUG - Activity 85605: sampling based on floor area\n", - "2024-05-14 18:29:30,678 - acbm.assigning - INFO - Activity 85626: No zones available\n", - "2024-05-14 18:29:30,678 - acbm.assigning - DEBUG - Activity 85670: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,679 - acbm.assigning - DEBUG - Activity 85670: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,680 - acbm.assigning - DEBUG - Activity 85670: sampling based on floor area\n", - "2024-05-14 18:29:30,680 - acbm.assigning - DEBUG - Activity 85701: Initial number of options for activity = 11\n", - "2024-05-14 18:29:30,682 - acbm.assigning - DEBUG - Activity 85701: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:30,683 - acbm.assigning - DEBUG - Activity 85701: sampling based on floor area\n", - "2024-05-14 18:29:30,683 - acbm.assigning - DEBUG - Activity 85703: Initial number of options for activity = 19\n", - "2024-05-14 18:29:30,685 - acbm.assigning - DEBUG - Activity 85703: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:30,686 - acbm.assigning - DEBUG - Activity 85703: sampling based on floor area\n", - "2024-05-14 18:29:30,687 - acbm.assigning - DEBUG - Activity 85818: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,688 - acbm.assigning - DEBUG - Activity 85818: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,689 - acbm.assigning - DEBUG - Activity 85818: sampling based on floor area\n", - "2024-05-14 18:29:30,690 - acbm.assigning - DEBUG - Activity 85823: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,691 - acbm.assigning - DEBUG - Activity 85823: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,692 - acbm.assigning - DEBUG - Activity 85823: sampling based on floor area\n", - "2024-05-14 18:29:30,693 - acbm.assigning - DEBUG - Activity 85835: Initial number of options for activity = 5\n", - "2024-05-14 18:29:30,695 - acbm.assigning - DEBUG - Activity 85835: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:30,696 - acbm.assigning - DEBUG - Activity 85835: sampling based on floor area\n", - "2024-05-14 18:29:30,697 - acbm.assigning - DEBUG - Activity 85897: Initial number of options for activity = 131\n", - "2024-05-14 18:29:30,699 - acbm.assigning - DEBUG - Activity 85897: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:30,699 - acbm.assigning - DEBUG - Activity 85897: sampling based on floor area\n", - "2024-05-14 18:29:30,701 - acbm.assigning - DEBUG - Activity 85899: Initial number of options for activity = 131\n", - "2024-05-14 18:29:30,702 - acbm.assigning - DEBUG - Activity 85899: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:30,703 - acbm.assigning - DEBUG - Activity 85899: sampling based on floor area\n", - "2024-05-14 18:29:30,704 - acbm.assigning - DEBUG - Activity 85903: Initial number of options for activity = 131\n", - "2024-05-14 18:29:30,707 - acbm.assigning - DEBUG - Activity 85903: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:30,707 - acbm.assigning - DEBUG - Activity 85903: sampling based on floor area\n", - "2024-05-14 18:29:30,709 - acbm.assigning - DEBUG - Activity 85905: Initial number of options for activity = 131\n", - "2024-05-14 18:29:30,711 - acbm.assigning - DEBUG - Activity 85905: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:30,712 - acbm.assigning - DEBUG - Activity 85905: sampling based on floor area\n", - "2024-05-14 18:29:30,713 - acbm.assigning - DEBUG - Activity 85907: Initial number of options for activity = 131\n", - "2024-05-14 18:29:30,715 - acbm.assigning - DEBUG - Activity 85907: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:30,715 - acbm.assigning - DEBUG - Activity 85907: sampling based on floor area\n", - "2024-05-14 18:29:30,716 - acbm.assigning - DEBUG - Activity 85950: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,718 - acbm.assigning - DEBUG - Activity 85950: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,719 - acbm.assigning - DEBUG - Activity 85950: sampling based on floor area\n", - "2024-05-14 18:29:30,720 - acbm.assigning - DEBUG - Activity 86252: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,722 - acbm.assigning - DEBUG - Activity 86252: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,723 - acbm.assigning - DEBUG - Activity 86252: sampling based on floor area\n", - "2024-05-14 18:29:30,724 - acbm.assigning - DEBUG - Activity 86260: Initial number of options for activity = 8\n", - "2024-05-14 18:29:30,725 - acbm.assigning - DEBUG - Activity 86260: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:30,727 - acbm.assigning - DEBUG - Activity 86260: sampling based on floor area\n", - "2024-05-14 18:29:30,728 - acbm.assigning - INFO - Activity 86368: No zones available\n", - "2024-05-14 18:29:30,728 - acbm.assigning - INFO - Activity 86370: No zones available\n", - "2024-05-14 18:29:30,729 - acbm.assigning - INFO - Activity 86372: No zones available\n", - "2024-05-14 18:29:30,730 - acbm.assigning - INFO - Activity 86374: No zones available\n", - "2024-05-14 18:29:30,730 - acbm.assigning - INFO - Activity 86376: No zones available\n", - "2024-05-14 18:29:30,731 - acbm.assigning - DEBUG - Activity 86407: Initial number of options for activity = 174\n", - "2024-05-14 18:29:30,733 - acbm.assigning - DEBUG - Activity 86407: Number of options after filtering by education type: 174\n", - "2024-05-14 18:29:30,734 - acbm.assigning - DEBUG - Activity 86407: sampling based on floor area\n", - "2024-05-14 18:29:30,735 - acbm.assigning - DEBUG - Activity 86565: Initial number of options for activity = 20\n", - "2024-05-14 18:29:30,737 - acbm.assigning - DEBUG - Activity 86565: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:30,738 - acbm.assigning - DEBUG - Activity 86565: sampling based on floor area\n", - "2024-05-14 18:29:30,739 - acbm.assigning - DEBUG - Activity 86568: Initial number of options for activity = 20\n", - "2024-05-14 18:29:30,740 - acbm.assigning - DEBUG - Activity 86568: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:30,741 - acbm.assigning - DEBUG - Activity 86568: sampling based on floor area\n", - "2024-05-14 18:29:30,742 - acbm.assigning - DEBUG - Activity 86570: Initial number of options for activity = 20\n", - "2024-05-14 18:29:30,744 - acbm.assigning - DEBUG - Activity 86570: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:30,745 - acbm.assigning - DEBUG - Activity 86570: sampling based on floor area\n", - "2024-05-14 18:29:30,746 - acbm.assigning - DEBUG - Activity 86572: Initial number of options for activity = 20\n", - "2024-05-14 18:29:30,747 - acbm.assigning - DEBUG - Activity 86572: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:30,748 - acbm.assigning - DEBUG - Activity 86572: sampling based on floor area\n", - "2024-05-14 18:29:30,749 - acbm.assigning - DEBUG - Activity 86574: Initial number of options for activity = 20\n", - "2024-05-14 18:29:30,750 - acbm.assigning - DEBUG - Activity 86574: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:30,751 - acbm.assigning - DEBUG - Activity 86574: sampling based on floor area\n", - "2024-05-14 18:29:30,752 - acbm.assigning - DEBUG - Activity 86717: Initial number of options for activity = 44\n", - "2024-05-14 18:29:30,754 - acbm.assigning - DEBUG - Activity 86717: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:30,755 - acbm.assigning - DEBUG - Activity 86717: sampling based on floor area\n", - "2024-05-14 18:29:30,756 - acbm.assigning - DEBUG - Activity 86718: Initial number of options for activity = 32\n", - "2024-05-14 18:29:30,758 - acbm.assigning - DEBUG - Activity 86718: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:30,759 - acbm.assigning - DEBUG - Activity 86718: sampling based on floor area\n", - "2024-05-14 18:29:30,760 - acbm.assigning - DEBUG - Activity 86719: Initial number of options for activity = 32\n", - "2024-05-14 18:29:30,762 - acbm.assigning - DEBUG - Activity 86719: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:30,762 - acbm.assigning - DEBUG - Activity 86719: sampling based on floor area\n", - "2024-05-14 18:29:30,763 - acbm.assigning - DEBUG - Activity 86720: Initial number of options for activity = 32\n", - "2024-05-14 18:29:30,766 - acbm.assigning - DEBUG - Activity 86720: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:30,767 - acbm.assigning - DEBUG - Activity 86720: sampling based on floor area\n", - "2024-05-14 18:29:30,768 - acbm.assigning - DEBUG - Activity 86726: Initial number of options for activity = 43\n", - "2024-05-14 18:29:30,770 - acbm.assigning - DEBUG - Activity 86726: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:30,771 - acbm.assigning - DEBUG - Activity 86726: sampling based on floor area\n", - "2024-05-14 18:29:30,772 - acbm.assigning - DEBUG - Activity 86814: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,775 - acbm.assigning - DEBUG - Activity 86814: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,776 - acbm.assigning - DEBUG - Activity 86814: sampling based on floor area\n", - "2024-05-14 18:29:30,780 - acbm.assigning - DEBUG - Activity 86816: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,784 - acbm.assigning - DEBUG - Activity 86816: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,785 - acbm.assigning - DEBUG - Activity 86816: sampling based on floor area\n", - "2024-05-14 18:29:30,788 - acbm.assigning - DEBUG - Activity 86817: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,791 - acbm.assigning - DEBUG - Activity 86817: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,792 - acbm.assigning - DEBUG - Activity 86817: sampling based on floor area\n", - "2024-05-14 18:29:30,794 - acbm.assigning - DEBUG - Activity 86818: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,797 - acbm.assigning - DEBUG - Activity 86818: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,799 - acbm.assigning - DEBUG - Activity 86818: sampling based on floor area\n", - "2024-05-14 18:29:30,801 - acbm.assigning - DEBUG - Activity 86821: Initial number of options for activity = 9\n", - "2024-05-14 18:29:30,804 - acbm.assigning - DEBUG - Activity 86821: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:30,805 - acbm.assigning - DEBUG - Activity 86821: sampling based on floor area\n", - "2024-05-14 18:29:30,807 - acbm.assigning - INFO - Activity 86823: No zones available\n", - "2024-05-14 18:29:30,808 - acbm.assigning - INFO - Activity 86846: No zones available\n", - "2024-05-14 18:29:30,808 - acbm.assigning - INFO - Activity 86848: No zones available\n", - "2024-05-14 18:29:30,809 - acbm.assigning - INFO - Activity 86849: No zones available\n", - "2024-05-14 18:29:30,810 - acbm.assigning - INFO - Activity 86851: No zones available\n", - "2024-05-14 18:29:30,810 - acbm.assigning - INFO - Activity 86852: No zones available\n", - "2024-05-14 18:29:30,811 - acbm.assigning - INFO - Activity 86855: No zones available\n", - "2024-05-14 18:29:30,813 - acbm.assigning - DEBUG - Activity 86947: Initial number of options for activity = 84\n", - "2024-05-14 18:29:30,816 - acbm.assigning - DEBUG - Activity 86947: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:30,817 - acbm.assigning - DEBUG - Activity 86947: sampling based on floor area\n", - "2024-05-14 18:29:30,819 - acbm.assigning - DEBUG - Activity 86949: Initial number of options for activity = 141\n", - "2024-05-14 18:29:30,821 - acbm.assigning - DEBUG - Activity 86949: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:30,822 - acbm.assigning - DEBUG - Activity 86949: sampling based on floor area\n", - "2024-05-14 18:29:30,824 - acbm.assigning - DEBUG - Activity 86953: Initial number of options for activity = 84\n", - "2024-05-14 18:29:30,826 - acbm.assigning - DEBUG - Activity 86953: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:30,827 - acbm.assigning - DEBUG - Activity 86953: sampling based on floor area\n", - "2024-05-14 18:29:30,829 - acbm.assigning - DEBUG - Activity 86955: Initial number of options for activity = 84\n", - "2024-05-14 18:29:30,831 - acbm.assigning - DEBUG - Activity 86955: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:30,832 - acbm.assigning - DEBUG - Activity 86955: sampling based on floor area\n", - "2024-05-14 18:29:30,833 - acbm.assigning - DEBUG - Activity 86959: Initial number of options for activity = 84\n", - "2024-05-14 18:29:30,836 - acbm.assigning - DEBUG - Activity 86959: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:30,836 - acbm.assigning - DEBUG - Activity 86959: sampling based on floor area\n", - "2024-05-14 18:29:30,838 - acbm.assigning - DEBUG - Activity 87182: Initial number of options for activity = 63\n", - "2024-05-14 18:29:30,840 - acbm.assigning - DEBUG - Activity 87182: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:30,841 - acbm.assigning - DEBUG - Activity 87182: sampling based on floor area\n", - "2024-05-14 18:29:30,842 - acbm.assigning - DEBUG - Activity 87184: Initial number of options for activity = 63\n", - "2024-05-14 18:29:30,845 - acbm.assigning - DEBUG - Activity 87184: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:30,845 - acbm.assigning - DEBUG - Activity 87184: sampling based on floor area\n", - "2024-05-14 18:29:30,847 - acbm.assigning - DEBUG - Activity 87186: Initial number of options for activity = 63\n", - "2024-05-14 18:29:30,848 - acbm.assigning - DEBUG - Activity 87186: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:30,849 - acbm.assigning - DEBUG - Activity 87186: sampling based on floor area\n", - "2024-05-14 18:29:30,850 - acbm.assigning - DEBUG - Activity 87188: Initial number of options for activity = 63\n", - "2024-05-14 18:29:30,851 - acbm.assigning - DEBUG - Activity 87188: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:30,852 - acbm.assigning - DEBUG - Activity 87188: sampling based on floor area\n", - "2024-05-14 18:29:30,853 - acbm.assigning - DEBUG - Activity 87190: Initial number of options for activity = 43\n", - "2024-05-14 18:29:30,854 - acbm.assigning - DEBUG - Activity 87190: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:30,855 - acbm.assigning - DEBUG - Activity 87190: sampling based on floor area\n", - "2024-05-14 18:29:30,856 - acbm.assigning - DEBUG - Activity 87227: Initial number of options for activity = 6\n", - "2024-05-14 18:29:30,858 - acbm.assigning - DEBUG - Activity 87227: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:30,859 - acbm.assigning - DEBUG - Activity 87227: sampling based on floor area\n", - "2024-05-14 18:29:30,859 - acbm.assigning - DEBUG - Activity 87229: Initial number of options for activity = 6\n", - "2024-05-14 18:29:30,861 - acbm.assigning - DEBUG - Activity 87229: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:30,862 - acbm.assigning - DEBUG - Activity 87229: sampling based on floor area\n", - "2024-05-14 18:29:30,863 - acbm.assigning - DEBUG - Activity 87233: Initial number of options for activity = 3\n", - "2024-05-14 18:29:30,864 - acbm.assigning - DEBUG - Activity 87233: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:30,865 - acbm.assigning - DEBUG - Activity 87233: sampling based on floor area\n", - "2024-05-14 18:29:30,866 - acbm.assigning - DEBUG - Activity 87301: Initial number of options for activity = 141\n", - "2024-05-14 18:29:30,867 - acbm.assigning - DEBUG - Activity 87301: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:30,868 - acbm.assigning - DEBUG - Activity 87301: sampling based on floor area\n", - "2024-05-14 18:29:30,869 - acbm.assigning - DEBUG - Activity 87303: Initial number of options for activity = 141\n", - "2024-05-14 18:29:30,872 - acbm.assigning - DEBUG - Activity 87303: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:30,873 - acbm.assigning - DEBUG - Activity 87303: sampling based on floor area\n", - "2024-05-14 18:29:30,874 - acbm.assigning - DEBUG - Activity 87305: Initial number of options for activity = 141\n", - "2024-05-14 18:29:30,876 - acbm.assigning - DEBUG - Activity 87305: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:30,877 - acbm.assigning - DEBUG - Activity 87305: sampling based on floor area\n", - "2024-05-14 18:29:30,878 - acbm.assigning - DEBUG - Activity 87307: Initial number of options for activity = 141\n", - "2024-05-14 18:29:30,880 - acbm.assigning - DEBUG - Activity 87307: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:30,880 - acbm.assigning - DEBUG - Activity 87307: sampling based on floor area\n", - "2024-05-14 18:29:30,881 - acbm.assigning - DEBUG - Activity 87341: Initial number of options for activity = 17\n", - "2024-05-14 18:29:30,883 - acbm.assigning - DEBUG - Activity 87341: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:30,883 - acbm.assigning - DEBUG - Activity 87341: sampling based on floor area\n", - "2024-05-14 18:29:30,885 - acbm.assigning - DEBUG - Activity 87343: Initial number of options for activity = 17\n", - "2024-05-14 18:29:30,886 - acbm.assigning - DEBUG - Activity 87343: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:30,887 - acbm.assigning - DEBUG - Activity 87343: sampling based on floor area\n", - "2024-05-14 18:29:30,888 - acbm.assigning - DEBUG - Activity 87378: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,890 - acbm.assigning - DEBUG - Activity 87378: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,891 - acbm.assigning - DEBUG - Activity 87378: sampling based on floor area\n", - "2024-05-14 18:29:30,892 - acbm.assigning - DEBUG - Activity 87379: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,895 - acbm.assigning - DEBUG - Activity 87379: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,896 - acbm.assigning - DEBUG - Activity 87379: sampling based on floor area\n", - "2024-05-14 18:29:30,898 - acbm.assigning - DEBUG - Activity 87383: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,901 - acbm.assigning - DEBUG - Activity 87383: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,902 - acbm.assigning - DEBUG - Activity 87383: sampling based on floor area\n", - "2024-05-14 18:29:30,904 - acbm.assigning - DEBUG - Activity 87387: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,906 - acbm.assigning - DEBUG - Activity 87387: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,907 - acbm.assigning - DEBUG - Activity 87387: sampling based on floor area\n", - "2024-05-14 18:29:30,908 - acbm.assigning - DEBUG - Activity 87389: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,911 - acbm.assigning - DEBUG - Activity 87389: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,912 - acbm.assigning - DEBUG - Activity 87389: sampling based on floor area\n", - "2024-05-14 18:29:30,913 - acbm.assigning - DEBUG - Activity 87390: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,916 - acbm.assigning - DEBUG - Activity 87390: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,916 - acbm.assigning - DEBUG - Activity 87390: sampling based on floor area\n", - "2024-05-14 18:29:30,918 - acbm.assigning - DEBUG - Activity 87392: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,919 - acbm.assigning - DEBUG - Activity 87392: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,920 - acbm.assigning - DEBUG - Activity 87392: sampling based on floor area\n", - "2024-05-14 18:29:30,921 - acbm.assigning - DEBUG - Activity 87393: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,923 - acbm.assigning - DEBUG - Activity 87393: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,923 - acbm.assigning - DEBUG - Activity 87393: sampling based on floor area\n", - "2024-05-14 18:29:30,925 - acbm.assigning - DEBUG - Activity 87394: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,926 - acbm.assigning - DEBUG - Activity 87394: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,927 - acbm.assigning - DEBUG - Activity 87394: sampling based on floor area\n", - "2024-05-14 18:29:30,928 - acbm.assigning - DEBUG - Activity 87397: Initial number of options for activity = 15\n", - "2024-05-14 18:29:30,929 - acbm.assigning - DEBUG - Activity 87397: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:30,930 - acbm.assigning - DEBUG - Activity 87397: sampling based on floor area\n", - "2024-05-14 18:29:30,931 - acbm.assigning - DEBUG - Activity 87495: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,933 - acbm.assigning - DEBUG - Activity 87495: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,933 - acbm.assigning - DEBUG - Activity 87495: sampling based on floor area\n", - "2024-05-14 18:29:30,934 - acbm.assigning - DEBUG - Activity 87497: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,936 - acbm.assigning - DEBUG - Activity 87497: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,937 - acbm.assigning - DEBUG - Activity 87497: sampling based on floor area\n", - "2024-05-14 18:29:30,939 - acbm.assigning - DEBUG - Activity 87499: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,941 - acbm.assigning - DEBUG - Activity 87499: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,942 - acbm.assigning - DEBUG - Activity 87499: sampling based on floor area\n", - "2024-05-14 18:29:30,944 - acbm.assigning - DEBUG - Activity 87501: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,947 - acbm.assigning - DEBUG - Activity 87501: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,948 - acbm.assigning - DEBUG - Activity 87501: sampling based on floor area\n", - "2024-05-14 18:29:30,949 - acbm.assigning - DEBUG - Activity 87503: Initial number of options for activity = 1\n", - "2024-05-14 18:29:30,952 - acbm.assigning - DEBUG - Activity 87503: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:30,952 - acbm.assigning - DEBUG - Activity 87503: sampling based on floor area\n", - "2024-05-14 18:29:30,954 - acbm.assigning - DEBUG - Activity 87591: Initial number of options for activity = 119\n", - "2024-05-14 18:29:30,955 - acbm.assigning - DEBUG - Activity 87591: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:30,956 - acbm.assigning - DEBUG - Activity 87591: sampling based on floor area\n", - "2024-05-14 18:29:30,956 - acbm.assigning - DEBUG - Activity 87593: Initial number of options for activity = 119\n", - "2024-05-14 18:29:30,959 - acbm.assigning - DEBUG - Activity 87593: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:30,960 - acbm.assigning - DEBUG - Activity 87593: sampling based on floor area\n", - "2024-05-14 18:29:30,962 - acbm.assigning - DEBUG - Activity 87595: Initial number of options for activity = 119\n", - "2024-05-14 18:29:30,965 - acbm.assigning - DEBUG - Activity 87595: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:30,966 - acbm.assigning - DEBUG - Activity 87595: sampling based on floor area\n", - "2024-05-14 18:29:30,967 - acbm.assigning - DEBUG - Activity 87597: Initial number of options for activity = 119\n", - "2024-05-14 18:29:30,970 - acbm.assigning - DEBUG - Activity 87597: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:30,971 - acbm.assigning - DEBUG - Activity 87597: sampling based on floor area\n", - "2024-05-14 18:29:30,972 - acbm.assigning - DEBUG - Activity 87687: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,974 - acbm.assigning - DEBUG - Activity 87687: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,975 - acbm.assigning - DEBUG - Activity 87687: sampling based on floor area\n", - "2024-05-14 18:29:30,976 - acbm.assigning - DEBUG - Activity 87690: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,978 - acbm.assigning - DEBUG - Activity 87690: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,979 - acbm.assigning - DEBUG - Activity 87690: sampling based on floor area\n", - "2024-05-14 18:29:30,980 - acbm.assigning - DEBUG - Activity 87692: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,981 - acbm.assigning - DEBUG - Activity 87692: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,981 - acbm.assigning - DEBUG - Activity 87692: sampling based on floor area\n", - "2024-05-14 18:29:30,982 - acbm.assigning - DEBUG - Activity 87694: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,984 - acbm.assigning - DEBUG - Activity 87694: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,985 - acbm.assigning - DEBUG - Activity 87694: sampling based on floor area\n", - "2024-05-14 18:29:30,987 - acbm.assigning - DEBUG - Activity 87696: Initial number of options for activity = 13\n", - "2024-05-14 18:29:30,988 - acbm.assigning - DEBUG - Activity 87696: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:30,989 - acbm.assigning - DEBUG - Activity 87696: sampling based on floor area\n", - "2024-05-14 18:29:30,990 - acbm.assigning - DEBUG - Activity 87943: Initial number of options for activity = 125\n", - "2024-05-14 18:29:30,992 - acbm.assigning - DEBUG - Activity 87943: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:31,003 - acbm.assigning - DEBUG - Activity 87943: sampling based on floor area\n", - "2024-05-14 18:29:31,005 - acbm.assigning - DEBUG - Activity 87945: Initial number of options for activity = 125\n", - "2024-05-14 18:29:31,009 - acbm.assigning - DEBUG - Activity 87945: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:31,011 - acbm.assigning - DEBUG - Activity 87945: sampling based on floor area\n", - "2024-05-14 18:29:31,012 - acbm.assigning - DEBUG - Activity 87947: Initial number of options for activity = 125\n", - "2024-05-14 18:29:31,016 - acbm.assigning - DEBUG - Activity 87947: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:31,017 - acbm.assigning - DEBUG - Activity 87947: sampling based on floor area\n", - "2024-05-14 18:29:31,019 - acbm.assigning - DEBUG - Activity 87949: Initial number of options for activity = 125\n", - "2024-05-14 18:29:31,021 - acbm.assigning - DEBUG - Activity 87949: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:31,022 - acbm.assigning - DEBUG - Activity 87949: sampling based on floor area\n", - "2024-05-14 18:29:31,024 - acbm.assigning - INFO - Activity 88081: No zones available\n", - "2024-05-14 18:29:31,024 - acbm.assigning - DEBUG - Activity 88084: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,027 - acbm.assigning - DEBUG - Activity 88084: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,029 - acbm.assigning - DEBUG - Activity 88084: sampling based on floor area\n", - "2024-05-14 18:29:31,030 - acbm.assigning - INFO - Activity 88086: No zones available\n", - "2024-05-14 18:29:31,031 - acbm.assigning - DEBUG - Activity 88088: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,034 - acbm.assigning - DEBUG - Activity 88088: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,035 - acbm.assigning - DEBUG - Activity 88088: sampling based on floor area\n", - "2024-05-14 18:29:31,037 - acbm.assigning - DEBUG - Activity 88093: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,039 - acbm.assigning - DEBUG - Activity 88093: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,039 - acbm.assigning - DEBUG - Activity 88093: sampling based on floor area\n", - "2024-05-14 18:29:31,041 - acbm.assigning - DEBUG - Activity 88095: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,044 - acbm.assigning - DEBUG - Activity 88095: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,045 - acbm.assigning - DEBUG - Activity 88095: sampling based on floor area\n", - "2024-05-14 18:29:31,047 - acbm.assigning - DEBUG - Activity 88097: Initial number of options for activity = 125\n", - "2024-05-14 18:29:31,050 - acbm.assigning - DEBUG - Activity 88097: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:31,051 - acbm.assigning - DEBUG - Activity 88097: sampling based on floor area\n", - "2024-05-14 18:29:31,053 - acbm.assigning - INFO - KeyError: Key 88098 in possible_zones has no values\n", - "2024-05-14 18:29:31,054 - acbm.assigning - DEBUG - Activity 88102: Initial number of options for activity = 47\n", - "2024-05-14 18:29:31,056 - acbm.assigning - DEBUG - Activity 88102: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:31,057 - acbm.assigning - DEBUG - Activity 88102: sampling based on floor area\n", - "2024-05-14 18:29:31,059 - acbm.assigning - DEBUG - Activity 88103: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,062 - acbm.assigning - DEBUG - Activity 88103: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,064 - acbm.assigning - DEBUG - Activity 88103: sampling based on floor area\n", - "2024-05-14 18:29:31,065 - acbm.assigning - DEBUG - Activity 88206: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,067 - acbm.assigning - DEBUG - Activity 88206: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,068 - acbm.assigning - DEBUG - Activity 88206: sampling based on floor area\n", - "2024-05-14 18:29:31,069 - acbm.assigning - DEBUG - Activity 88213: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,071 - acbm.assigning - DEBUG - Activity 88213: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,071 - acbm.assigning - DEBUG - Activity 88213: sampling based on floor area\n", - "2024-05-14 18:29:31,072 - acbm.assigning - DEBUG - Activity 88217: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,074 - acbm.assigning - DEBUG - Activity 88217: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,075 - acbm.assigning - DEBUG - Activity 88217: sampling based on floor area\n", - "2024-05-14 18:29:31,077 - acbm.assigning - DEBUG - Activity 88220: Initial number of options for activity = 72\n", - "2024-05-14 18:29:31,081 - acbm.assigning - DEBUG - Activity 88220: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:31,082 - acbm.assigning - DEBUG - Activity 88220: sampling based on floor area\n", - "2024-05-14 18:29:31,083 - acbm.assigning - DEBUG - Activity 88221: Initial number of options for activity = 72\n", - "2024-05-14 18:29:31,086 - acbm.assigning - DEBUG - Activity 88221: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:31,087 - acbm.assigning - DEBUG - Activity 88221: sampling based on floor area\n", - "2024-05-14 18:29:31,089 - acbm.assigning - DEBUG - Activity 88222: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,092 - acbm.assigning - DEBUG - Activity 88222: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,093 - acbm.assigning - DEBUG - Activity 88222: sampling based on floor area\n", - "2024-05-14 18:29:31,095 - acbm.assigning - DEBUG - Activity 88271: Initial number of options for activity = 132\n", - "2024-05-14 18:29:31,099 - acbm.assigning - DEBUG - Activity 88271: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:31,100 - acbm.assigning - DEBUG - Activity 88271: sampling based on floor area\n", - "2024-05-14 18:29:31,102 - acbm.assigning - DEBUG - Activity 88273: Initial number of options for activity = 132\n", - "2024-05-14 18:29:31,105 - acbm.assigning - DEBUG - Activity 88273: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:31,107 - acbm.assigning - DEBUG - Activity 88273: sampling based on floor area\n", - "2024-05-14 18:29:31,109 - acbm.assigning - DEBUG - Activity 88275: Initial number of options for activity = 132\n", - "2024-05-14 18:29:31,112 - acbm.assigning - DEBUG - Activity 88275: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:31,113 - acbm.assigning - DEBUG - Activity 88275: sampling based on floor area\n", - "2024-05-14 18:29:31,115 - acbm.assigning - DEBUG - Activity 88277: Initial number of options for activity = 132\n", - "2024-05-14 18:29:31,117 - acbm.assigning - DEBUG - Activity 88277: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:31,118 - acbm.assigning - DEBUG - Activity 88277: sampling based on floor area\n", - "2024-05-14 18:29:31,119 - acbm.assigning - INFO - Activity 88307: No zones available\n", - "2024-05-14 18:29:31,119 - acbm.assigning - DEBUG - Activity 88345: Initial number of options for activity = 23\n", - "2024-05-14 18:29:31,122 - acbm.assigning - DEBUG - Activity 88345: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:31,123 - acbm.assigning - DEBUG - Activity 88345: sampling based on floor area\n", - "2024-05-14 18:29:31,124 - acbm.assigning - DEBUG - Activity 88346: Initial number of options for activity = 23\n", - "2024-05-14 18:29:31,127 - acbm.assigning - DEBUG - Activity 88346: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:31,128 - acbm.assigning - DEBUG - Activity 88346: sampling based on floor area\n", - "2024-05-14 18:29:31,130 - acbm.assigning - DEBUG - Activity 88347: Initial number of options for activity = 25\n", - "2024-05-14 18:29:31,133 - acbm.assigning - DEBUG - Activity 88347: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:31,134 - acbm.assigning - DEBUG - Activity 88347: sampling based on floor area\n", - "2024-05-14 18:29:31,135 - acbm.assigning - DEBUG - Activity 88348: Initial number of options for activity = 25\n", - "2024-05-14 18:29:31,138 - acbm.assigning - DEBUG - Activity 88348: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:31,138 - acbm.assigning - DEBUG - Activity 88348: sampling based on floor area\n", - "2024-05-14 18:29:31,140 - acbm.assigning - DEBUG - Activity 88351: Initial number of options for activity = 25\n", - "2024-05-14 18:29:31,143 - acbm.assigning - DEBUG - Activity 88351: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:31,144 - acbm.assigning - DEBUG - Activity 88351: sampling based on floor area\n", - "2024-05-14 18:29:31,145 - acbm.assigning - DEBUG - Activity 88353: Initial number of options for activity = 25\n", - "2024-05-14 18:29:31,147 - acbm.assigning - DEBUG - Activity 88353: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:31,148 - acbm.assigning - DEBUG - Activity 88353: sampling based on floor area\n", - "2024-05-14 18:29:31,149 - acbm.assigning - DEBUG - Activity 88358: Initial number of options for activity = 23\n", - "2024-05-14 18:29:31,151 - acbm.assigning - DEBUG - Activity 88358: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:31,152 - acbm.assigning - DEBUG - Activity 88358: sampling based on floor area\n", - "2024-05-14 18:29:31,153 - acbm.assigning - DEBUG - Activity 88359: Initial number of options for activity = 25\n", - "2024-05-14 18:29:31,155 - acbm.assigning - DEBUG - Activity 88359: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:31,156 - acbm.assigning - DEBUG - Activity 88359: sampling based on floor area\n", - "2024-05-14 18:29:31,157 - acbm.assigning - DEBUG - Activity 88360: Initial number of options for activity = 25\n", - "2024-05-14 18:29:31,159 - acbm.assigning - DEBUG - Activity 88360: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:31,160 - acbm.assigning - DEBUG - Activity 88360: sampling based on floor area\n", - "2024-05-14 18:29:31,162 - acbm.assigning - DEBUG - Activity 88362: Initial number of options for activity = 23\n", - "2024-05-14 18:29:31,164 - acbm.assigning - DEBUG - Activity 88362: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:31,164 - acbm.assigning - DEBUG - Activity 88362: sampling based on floor area\n", - "2024-05-14 18:29:31,165 - acbm.assigning - DEBUG - Activity 88464: Initial number of options for activity = 141\n", - "2024-05-14 18:29:31,167 - acbm.assigning - DEBUG - Activity 88464: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:31,167 - acbm.assigning - DEBUG - Activity 88464: sampling based on floor area\n", - "2024-05-14 18:29:31,168 - acbm.assigning - DEBUG - Activity 88466: Initial number of options for activity = 141\n", - "2024-05-14 18:29:31,170 - acbm.assigning - DEBUG - Activity 88466: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:31,170 - acbm.assigning - DEBUG - Activity 88466: sampling based on floor area\n", - "2024-05-14 18:29:31,171 - acbm.assigning - DEBUG - Activity 88468: Initial number of options for activity = 141\n", - "2024-05-14 18:29:31,173 - acbm.assigning - DEBUG - Activity 88468: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:31,174 - acbm.assigning - DEBUG - Activity 88468: sampling based on floor area\n", - "2024-05-14 18:29:31,174 - acbm.assigning - DEBUG - Activity 88470: Initial number of options for activity = 141\n", - "2024-05-14 18:29:31,177 - acbm.assigning - DEBUG - Activity 88470: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:31,177 - acbm.assigning - DEBUG - Activity 88470: sampling based on floor area\n", - "2024-05-14 18:29:31,178 - acbm.assigning - DEBUG - Activity 88482: Initial number of options for activity = 10\n", - "2024-05-14 18:29:31,180 - acbm.assigning - DEBUG - Activity 88482: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:31,181 - acbm.assigning - DEBUG - Activity 88482: sampling based on floor area\n", - "2024-05-14 18:29:31,182 - acbm.assigning - DEBUG - Activity 88484: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,184 - acbm.assigning - DEBUG - Activity 88484: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,184 - acbm.assigning - DEBUG - Activity 88484: sampling based on floor area\n", - "2024-05-14 18:29:31,186 - acbm.assigning - DEBUG - Activity 88486: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,188 - acbm.assigning - DEBUG - Activity 88486: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,188 - acbm.assigning - DEBUG - Activity 88486: sampling based on floor area\n", - "2024-05-14 18:29:31,189 - acbm.assigning - INFO - Activity 88613: No zones available\n", - "2024-05-14 18:29:31,190 - acbm.assigning - INFO - Activity 88615: No zones available\n", - "2024-05-14 18:29:31,190 - acbm.assigning - INFO - Activity 88621: No zones available\n", - "2024-05-14 18:29:31,191 - acbm.assigning - INFO - Activity 88624: No zones available\n", - "2024-05-14 18:29:31,191 - acbm.assigning - INFO - Activity 88626: No zones available\n", - "2024-05-14 18:29:31,191 - acbm.assigning - DEBUG - Activity 88771: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,194 - acbm.assigning - DEBUG - Activity 88771: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,195 - acbm.assigning - DEBUG - Activity 88771: sampling based on floor area\n", - "2024-05-14 18:29:31,196 - acbm.assigning - DEBUG - Activity 88774: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,198 - acbm.assigning - DEBUG - Activity 88774: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,198 - acbm.assigning - DEBUG - Activity 88774: sampling based on floor area\n", - "2024-05-14 18:29:31,200 - acbm.assigning - DEBUG - Activity 88776: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,202 - acbm.assigning - DEBUG - Activity 88776: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,203 - acbm.assigning - DEBUG - Activity 88776: sampling based on floor area\n", - "2024-05-14 18:29:31,204 - acbm.assigning - DEBUG - Activity 88778: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,207 - acbm.assigning - DEBUG - Activity 88778: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,208 - acbm.assigning - DEBUG - Activity 88778: sampling based on floor area\n", - "2024-05-14 18:29:31,210 - acbm.assigning - DEBUG - Activity 88780: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,213 - acbm.assigning - DEBUG - Activity 88780: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,214 - acbm.assigning - DEBUG - Activity 88780: sampling based on floor area\n", - "2024-05-14 18:29:31,215 - acbm.assigning - DEBUG - Activity 88856: Initial number of options for activity = 83\n", - "2024-05-14 18:29:31,218 - acbm.assigning - DEBUG - Activity 88856: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:31,219 - acbm.assigning - DEBUG - Activity 88856: sampling based on floor area\n", - "2024-05-14 18:29:31,220 - acbm.assigning - DEBUG - Activity 88858: Initial number of options for activity = 83\n", - "2024-05-14 18:29:31,222 - acbm.assigning - DEBUG - Activity 88858: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:31,222 - acbm.assigning - DEBUG - Activity 88858: sampling based on floor area\n", - "2024-05-14 18:29:31,224 - acbm.assigning - DEBUG - Activity 88862: Initial number of options for activity = 83\n", - "2024-05-14 18:29:31,226 - acbm.assigning - DEBUG - Activity 88862: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:31,227 - acbm.assigning - DEBUG - Activity 88862: sampling based on floor area\n", - "2024-05-14 18:29:31,228 - acbm.assigning - DEBUG - Activity 88864: Initial number of options for activity = 83\n", - "2024-05-14 18:29:31,231 - acbm.assigning - DEBUG - Activity 88864: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:31,231 - acbm.assigning - DEBUG - Activity 88864: sampling based on floor area\n", - "2024-05-14 18:29:31,233 - acbm.assigning - DEBUG - Activity 88868: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,234 - acbm.assigning - DEBUG - Activity 88868: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,235 - acbm.assigning - DEBUG - Activity 88868: sampling based on floor area\n", - "2024-05-14 18:29:31,236 - acbm.assigning - DEBUG - Activity 88875: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,238 - acbm.assigning - DEBUG - Activity 88875: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,239 - acbm.assigning - DEBUG - Activity 88875: sampling based on floor area\n", - "2024-05-14 18:29:31,240 - acbm.assigning - DEBUG - Activity 88880: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,242 - acbm.assigning - DEBUG - Activity 88880: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,243 - acbm.assigning - DEBUG - Activity 88880: sampling based on floor area\n", - "2024-05-14 18:29:31,246 - acbm.assigning - DEBUG - Activity 88927: Initial number of options for activity = 143\n", - "2024-05-14 18:29:31,249 - acbm.assigning - DEBUG - Activity 88927: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:31,250 - acbm.assigning - DEBUG - Activity 88927: sampling based on floor area\n", - "2024-05-14 18:29:31,251 - acbm.assigning - DEBUG - Activity 88929: Initial number of options for activity = 143\n", - "2024-05-14 18:29:31,253 - acbm.assigning - DEBUG - Activity 88929: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:31,254 - acbm.assigning - DEBUG - Activity 88929: sampling based on floor area\n", - "2024-05-14 18:29:31,254 - acbm.assigning - DEBUG - Activity 88931: Initial number of options for activity = 143\n", - "2024-05-14 18:29:31,256 - acbm.assigning - DEBUG - Activity 88931: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:31,257 - acbm.assigning - DEBUG - Activity 88931: sampling based on floor area\n", - "2024-05-14 18:29:31,258 - acbm.assigning - DEBUG - Activity 88933: Initial number of options for activity = 143\n", - "2024-05-14 18:29:31,261 - acbm.assigning - DEBUG - Activity 88933: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:31,262 - acbm.assigning - DEBUG - Activity 88933: sampling based on floor area\n", - "2024-05-14 18:29:31,264 - acbm.assigning - DEBUG - Activity 88975: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,266 - acbm.assigning - DEBUG - Activity 88975: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,267 - acbm.assigning - DEBUG - Activity 88975: sampling based on floor area\n", - "2024-05-14 18:29:31,268 - acbm.assigning - DEBUG - Activity 88977: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,271 - acbm.assigning - DEBUG - Activity 88977: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,271 - acbm.assigning - DEBUG - Activity 88977: sampling based on floor area\n", - "2024-05-14 18:29:31,273 - acbm.assigning - DEBUG - Activity 88979: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,275 - acbm.assigning - DEBUG - Activity 88979: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,276 - acbm.assigning - DEBUG - Activity 88979: sampling based on floor area\n", - "2024-05-14 18:29:31,277 - acbm.assigning - DEBUG - Activity 88981: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,280 - acbm.assigning - DEBUG - Activity 88981: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,281 - acbm.assigning - DEBUG - Activity 88981: sampling based on floor area\n", - "2024-05-14 18:29:31,282 - acbm.assigning - DEBUG - Activity 88985: Initial number of options for activity = 80\n", - "2024-05-14 18:29:31,284 - acbm.assigning - DEBUG - Activity 88985: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:31,285 - acbm.assigning - DEBUG - Activity 88985: sampling based on floor area\n", - "2024-05-14 18:29:31,287 - acbm.assigning - DEBUG - Activity 89508: Initial number of options for activity = 161\n", - "2024-05-14 18:29:31,289 - acbm.assigning - DEBUG - Activity 89508: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:31,289 - acbm.assigning - DEBUG - Activity 89508: sampling based on floor area\n", - "2024-05-14 18:29:31,291 - acbm.assigning - DEBUG - Activity 89510: Initial number of options for activity = 161\n", - "2024-05-14 18:29:31,293 - acbm.assigning - DEBUG - Activity 89510: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:31,302 - acbm.assigning - DEBUG - Activity 89510: sampling based on floor area\n", - "2024-05-14 18:29:31,305 - acbm.assigning - DEBUG - Activity 89512: Initial number of options for activity = 161\n", - "2024-05-14 18:29:31,308 - acbm.assigning - DEBUG - Activity 89512: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:31,312 - acbm.assigning - DEBUG - Activity 89512: sampling based on floor area\n", - "2024-05-14 18:29:31,314 - acbm.assigning - DEBUG - Activity 89514: Initial number of options for activity = 161\n", - "2024-05-14 18:29:31,317 - acbm.assigning - DEBUG - Activity 89514: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:31,318 - acbm.assigning - DEBUG - Activity 89514: sampling based on floor area\n", - "2024-05-14 18:29:31,320 - acbm.assigning - INFO - KeyError: Key 89882 in possible_zones has no values\n", - "2024-05-14 18:29:31,321 - acbm.assigning - INFO - KeyError: Key 89883 in possible_zones has no values\n", - "2024-05-14 18:29:31,321 - acbm.assigning - DEBUG - Activity 89884: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,324 - acbm.assigning - DEBUG - Activity 89884: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,325 - acbm.assigning - DEBUG - Activity 89884: sampling based on floor area\n", - "2024-05-14 18:29:31,326 - acbm.assigning - DEBUG - Activity 89887: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,328 - acbm.assigning - DEBUG - Activity 89887: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,329 - acbm.assigning - DEBUG - Activity 89887: sampling based on floor area\n", - "2024-05-14 18:29:31,331 - acbm.assigning - INFO - Activity 89992: No zones available\n", - "2024-05-14 18:29:31,332 - acbm.assigning - INFO - Activity 90006: No zones available\n", - "2024-05-14 18:29:31,333 - acbm.assigning - INFO - Activity 90016: No zones available\n", - "2024-05-14 18:29:31,334 - acbm.assigning - INFO - Activity 90024: No zones available\n", - "2024-05-14 18:29:31,334 - acbm.assigning - INFO - Activity 90039: No zones available\n", - "2024-05-14 18:29:31,334 - acbm.assigning - INFO - Activity 90049: No zones available\n", - "2024-05-14 18:29:31,335 - acbm.assigning - DEBUG - Activity 90052: Initial number of options for activity = 6\n", - "2024-05-14 18:29:31,337 - acbm.assigning - DEBUG - Activity 90052: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:31,338 - acbm.assigning - DEBUG - Activity 90052: sampling based on floor area\n", - "2024-05-14 18:29:31,339 - acbm.assigning - INFO - Activity 90067: No zones available\n", - "2024-05-14 18:29:31,340 - acbm.assigning - DEBUG - Activity 90354: Initial number of options for activity = 3\n", - "2024-05-14 18:29:31,341 - acbm.assigning - DEBUG - Activity 90354: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:31,342 - acbm.assigning - DEBUG - Activity 90354: sampling based on floor area\n", - "2024-05-14 18:29:31,344 - acbm.assigning - DEBUG - Activity 90357: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,347 - acbm.assigning - DEBUG - Activity 90357: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,348 - acbm.assigning - DEBUG - Activity 90357: sampling based on floor area\n", - "2024-05-14 18:29:31,350 - acbm.assigning - DEBUG - Activity 90359: Initial number of options for activity = 3\n", - "2024-05-14 18:29:31,353 - acbm.assigning - DEBUG - Activity 90359: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:31,354 - acbm.assigning - DEBUG - Activity 90359: sampling based on floor area\n", - "2024-05-14 18:29:31,355 - acbm.assigning - DEBUG - Activity 90360: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,357 - acbm.assigning - DEBUG - Activity 90360: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,358 - acbm.assigning - DEBUG - Activity 90360: sampling based on floor area\n", - "2024-05-14 18:29:31,359 - acbm.assigning - DEBUG - Activity 90362: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,361 - acbm.assigning - DEBUG - Activity 90362: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,362 - acbm.assigning - DEBUG - Activity 90362: sampling based on floor area\n", - "2024-05-14 18:29:31,363 - acbm.assigning - DEBUG - Activity 90365: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,366 - acbm.assigning - DEBUG - Activity 90365: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,368 - acbm.assigning - DEBUG - Activity 90365: sampling based on floor area\n", - "2024-05-14 18:29:31,370 - acbm.assigning - DEBUG - Activity 90366: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,372 - acbm.assigning - DEBUG - Activity 90366: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,382 - acbm.assigning - DEBUG - Activity 90366: sampling based on floor area\n", - "2024-05-14 18:29:31,386 - acbm.assigning - DEBUG - Activity 90367: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,389 - acbm.assigning - DEBUG - Activity 90367: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,390 - acbm.assigning - DEBUG - Activity 90367: sampling based on floor area\n", - "2024-05-14 18:29:31,392 - acbm.assigning - DEBUG - Activity 90369: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,395 - acbm.assigning - DEBUG - Activity 90369: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,397 - acbm.assigning - DEBUG - Activity 90369: sampling based on floor area\n", - "2024-05-14 18:29:31,398 - acbm.assigning - DEBUG - Activity 90370: Initial number of options for activity = 6\n", - "2024-05-14 18:29:31,401 - acbm.assigning - DEBUG - Activity 90370: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:31,402 - acbm.assigning - DEBUG - Activity 90370: sampling based on floor area\n", - "2024-05-14 18:29:31,404 - acbm.assigning - DEBUG - Activity 90625: Initial number of options for activity = 54\n", - "2024-05-14 18:29:31,406 - acbm.assigning - DEBUG - Activity 90625: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:31,407 - acbm.assigning - DEBUG - Activity 90625: sampling based on floor area\n", - "2024-05-14 18:29:31,409 - acbm.assigning - DEBUG - Activity 90627: Initial number of options for activity = 23\n", - "2024-05-14 18:29:31,411 - acbm.assigning - DEBUG - Activity 90627: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:31,412 - acbm.assigning - DEBUG - Activity 90627: sampling based on floor area\n", - "2024-05-14 18:29:31,413 - acbm.assigning - DEBUG - Activity 90631: Initial number of options for activity = 7\n", - "2024-05-14 18:29:31,417 - acbm.assigning - DEBUG - Activity 90631: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:31,417 - acbm.assigning - DEBUG - Activity 90631: sampling based on floor area\n", - "2024-05-14 18:29:31,419 - acbm.assigning - INFO - Activity 90714: No zones available\n", - "2024-05-14 18:29:31,419 - acbm.assigning - INFO - Activity 91249: No zones available\n", - "2024-05-14 18:29:31,420 - acbm.assigning - INFO - Activity 91256: No zones available\n", - "2024-05-14 18:29:31,420 - acbm.assigning - INFO - Activity 91270: No zones available\n", - "2024-05-14 18:29:31,421 - acbm.assigning - INFO - Activity 91272: No zones available\n", - "2024-05-14 18:29:31,421 - acbm.assigning - INFO - Activity 91277: No zones available\n", - "2024-05-14 18:29:31,422 - acbm.assigning - DEBUG - Activity 91380: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,425 - acbm.assigning - DEBUG - Activity 91380: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,426 - acbm.assigning - DEBUG - Activity 91380: sampling based on floor area\n", - "2024-05-14 18:29:31,428 - acbm.assigning - DEBUG - Activity 91386: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,430 - acbm.assigning - DEBUG - Activity 91386: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,431 - acbm.assigning - DEBUG - Activity 91386: sampling based on floor area\n", - "2024-05-14 18:29:31,432 - acbm.assigning - DEBUG - Activity 91395: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,436 - acbm.assigning - DEBUG - Activity 91395: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,437 - acbm.assigning - DEBUG - Activity 91395: sampling based on floor area\n", - "2024-05-14 18:29:31,439 - acbm.assigning - DEBUG - Activity 91396: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,442 - acbm.assigning - DEBUG - Activity 91396: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,444 - acbm.assigning - DEBUG - Activity 91396: sampling based on floor area\n", - "2024-05-14 18:29:31,445 - acbm.assigning - DEBUG - Activity 91405: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,447 - acbm.assigning - DEBUG - Activity 91405: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,448 - acbm.assigning - DEBUG - Activity 91405: sampling based on floor area\n", - "2024-05-14 18:29:31,451 - acbm.assigning - DEBUG - Activity 91645: Initial number of options for activity = 101\n", - "2024-05-14 18:29:31,454 - acbm.assigning - DEBUG - Activity 91645: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:31,455 - acbm.assigning - DEBUG - Activity 91645: sampling based on floor area\n", - "2024-05-14 18:29:31,457 - acbm.assigning - DEBUG - Activity 91647: Initial number of options for activity = 101\n", - "2024-05-14 18:29:31,460 - acbm.assigning - DEBUG - Activity 91647: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:31,461 - acbm.assigning - DEBUG - Activity 91647: sampling based on floor area\n", - "2024-05-14 18:29:31,462 - acbm.assigning - DEBUG - Activity 91649: Initial number of options for activity = 101\n", - "2024-05-14 18:29:31,466 - acbm.assigning - DEBUG - Activity 91649: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:31,467 - acbm.assigning - DEBUG - Activity 91649: sampling based on floor area\n", - "2024-05-14 18:29:31,469 - acbm.assigning - DEBUG - Activity 91651: Initial number of options for activity = 101\n", - "2024-05-14 18:29:31,471 - acbm.assigning - DEBUG - Activity 91651: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:31,473 - acbm.assigning - DEBUG - Activity 91651: sampling based on floor area\n", - "2024-05-14 18:29:31,474 - acbm.assigning - DEBUG - Activity 91655: Initial number of options for activity = 101\n", - "2024-05-14 18:29:31,476 - acbm.assigning - DEBUG - Activity 91655: Number of options after filtering by education type: 101\n", - "2024-05-14 18:29:31,477 - acbm.assigning - DEBUG - Activity 91655: sampling based on floor area\n", - "2024-05-14 18:29:31,479 - acbm.assigning - DEBUG - Activity 91663: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,481 - acbm.assigning - DEBUG - Activity 91663: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,481 - acbm.assigning - DEBUG - Activity 91663: sampling based on floor area\n", - "2024-05-14 18:29:31,482 - acbm.assigning - DEBUG - Activity 91665: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,484 - acbm.assigning - DEBUG - Activity 91665: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,485 - acbm.assigning - DEBUG - Activity 91665: sampling based on floor area\n", - "2024-05-14 18:29:31,487 - acbm.assigning - DEBUG - Activity 91667: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,488 - acbm.assigning - DEBUG - Activity 91667: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,489 - acbm.assigning - DEBUG - Activity 91667: sampling based on floor area\n", - "2024-05-14 18:29:31,490 - acbm.assigning - DEBUG - Activity 91669: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,492 - acbm.assigning - DEBUG - Activity 91669: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,493 - acbm.assigning - DEBUG - Activity 91669: sampling based on floor area\n", - "2024-05-14 18:29:31,495 - acbm.assigning - DEBUG - Activity 91731: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,498 - acbm.assigning - DEBUG - Activity 91731: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,498 - acbm.assigning - DEBUG - Activity 91731: sampling based on floor area\n", - "2024-05-14 18:29:31,499 - acbm.assigning - DEBUG - Activity 91733: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,501 - acbm.assigning - DEBUG - Activity 91733: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,503 - acbm.assigning - DEBUG - Activity 91733: sampling based on floor area\n", - "2024-05-14 18:29:31,504 - acbm.assigning - DEBUG - Activity 91739: Initial number of options for activity = 52\n", - "2024-05-14 18:29:31,506 - acbm.assigning - DEBUG - Activity 91739: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:31,507 - acbm.assigning - DEBUG - Activity 91739: sampling based on floor area\n", - "2024-05-14 18:29:31,509 - acbm.assigning - DEBUG - Activity 91741: Initial number of options for activity = 52\n", - "2024-05-14 18:29:31,511 - acbm.assigning - DEBUG - Activity 91741: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:31,512 - acbm.assigning - DEBUG - Activity 91741: sampling based on floor area\n", - "2024-05-14 18:29:31,513 - acbm.assigning - DEBUG - Activity 91743: Initial number of options for activity = 52\n", - "2024-05-14 18:29:31,516 - acbm.assigning - DEBUG - Activity 91743: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:31,517 - acbm.assigning - DEBUG - Activity 91743: sampling based on floor area\n", - "2024-05-14 18:29:31,519 - acbm.assigning - DEBUG - Activity 91745: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,520 - acbm.assigning - DEBUG - Activity 91745: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,521 - acbm.assigning - DEBUG - Activity 91745: sampling based on floor area\n", - "2024-05-14 18:29:31,522 - acbm.assigning - DEBUG - Activity 91747: Initial number of options for activity = 150\n", - "2024-05-14 18:29:31,525 - acbm.assigning - DEBUG - Activity 91747: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:31,526 - acbm.assigning - DEBUG - Activity 91747: sampling based on floor area\n", - "2024-05-14 18:29:31,528 - acbm.assigning - DEBUG - Activity 91749: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,529 - acbm.assigning - DEBUG - Activity 91749: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,531 - acbm.assigning - DEBUG - Activity 91749: sampling based on floor area\n", - "2024-05-14 18:29:31,532 - acbm.assigning - DEBUG - Activity 91757: Initial number of options for activity = 52\n", - "2024-05-14 18:29:31,534 - acbm.assigning - DEBUG - Activity 91757: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:31,535 - acbm.assigning - DEBUG - Activity 91757: sampling based on floor area\n", - "2024-05-14 18:29:31,536 - acbm.assigning - DEBUG - Activity 91761: Initial number of options for activity = 52\n", - "2024-05-14 18:29:31,539 - acbm.assigning - DEBUG - Activity 91761: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:31,540 - acbm.assigning - DEBUG - Activity 91761: sampling based on floor area\n", - "2024-05-14 18:29:31,541 - acbm.assigning - DEBUG - Activity 91764: Initial number of options for activity = 52\n", - "2024-05-14 18:29:31,544 - acbm.assigning - DEBUG - Activity 91764: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:31,545 - acbm.assigning - DEBUG - Activity 91764: sampling based on floor area\n", - "2024-05-14 18:29:31,548 - acbm.assigning - DEBUG - Activity 92076: Initial number of options for activity = 159\n", - "2024-05-14 18:29:31,552 - acbm.assigning - DEBUG - Activity 92076: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:31,553 - acbm.assigning - DEBUG - Activity 92076: sampling based on floor area\n", - "2024-05-14 18:29:31,554 - acbm.assigning - DEBUG - Activity 92078: Initial number of options for activity = 159\n", - "2024-05-14 18:29:31,556 - acbm.assigning - DEBUG - Activity 92078: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:31,557 - acbm.assigning - DEBUG - Activity 92078: sampling based on floor area\n", - "2024-05-14 18:29:31,559 - acbm.assigning - DEBUG - Activity 92080: Initial number of options for activity = 159\n", - "2024-05-14 18:29:31,561 - acbm.assigning - DEBUG - Activity 92080: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:31,563 - acbm.assigning - DEBUG - Activity 92080: sampling based on floor area\n", - "2024-05-14 18:29:31,564 - acbm.assigning - DEBUG - Activity 92082: Initial number of options for activity = 159\n", - "2024-05-14 18:29:31,566 - acbm.assigning - DEBUG - Activity 92082: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:31,567 - acbm.assigning - DEBUG - Activity 92082: sampling based on floor area\n", - "2024-05-14 18:29:31,568 - acbm.assigning - DEBUG - Activity 92152: Initial number of options for activity = 33\n", - "2024-05-14 18:29:31,570 - acbm.assigning - DEBUG - Activity 92152: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:31,570 - acbm.assigning - DEBUG - Activity 92152: sampling based on floor area\n", - "2024-05-14 18:29:31,571 - acbm.assigning - DEBUG - Activity 92155: Initial number of options for activity = 33\n", - "2024-05-14 18:29:31,574 - acbm.assigning - DEBUG - Activity 92155: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:31,575 - acbm.assigning - DEBUG - Activity 92155: sampling based on floor area\n", - "2024-05-14 18:29:31,576 - acbm.assigning - DEBUG - Activity 92156: Initial number of options for activity = 33\n", - "2024-05-14 18:29:31,579 - acbm.assigning - DEBUG - Activity 92156: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:31,580 - acbm.assigning - DEBUG - Activity 92156: sampling based on floor area\n", - "2024-05-14 18:29:31,581 - acbm.assigning - DEBUG - Activity 92158: Initial number of options for activity = 33\n", - "2024-05-14 18:29:31,583 - acbm.assigning - DEBUG - Activity 92158: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:31,584 - acbm.assigning - DEBUG - Activity 92158: sampling based on floor area\n", - "2024-05-14 18:29:31,585 - acbm.assigning - DEBUG - Activity 92161: Initial number of options for activity = 33\n", - "2024-05-14 18:29:31,587 - acbm.assigning - DEBUG - Activity 92161: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:31,587 - acbm.assigning - DEBUG - Activity 92161: sampling based on floor area\n", - "2024-05-14 18:29:31,589 - acbm.assigning - DEBUG - Activity 92242: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,591 - acbm.assigning - DEBUG - Activity 92242: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,592 - acbm.assigning - DEBUG - Activity 92242: sampling based on floor area\n", - "2024-05-14 18:29:31,594 - acbm.assigning - DEBUG - Activity 92244: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,597 - acbm.assigning - DEBUG - Activity 92244: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,598 - acbm.assigning - DEBUG - Activity 92244: sampling based on floor area\n", - "2024-05-14 18:29:31,599 - acbm.assigning - DEBUG - Activity 92248: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,602 - acbm.assigning - DEBUG - Activity 92248: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,603 - acbm.assigning - DEBUG - Activity 92248: sampling based on floor area\n", - "2024-05-14 18:29:31,605 - acbm.assigning - DEBUG - Activity 92250: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,606 - acbm.assigning - DEBUG - Activity 92250: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,607 - acbm.assigning - DEBUG - Activity 92250: sampling based on floor area\n", - "2024-05-14 18:29:31,608 - acbm.assigning - INFO - Activity 92362: No zones available\n", - "2024-05-14 18:29:31,608 - acbm.assigning - INFO - Activity 92363: No zones available\n", - "2024-05-14 18:29:31,609 - acbm.assigning - INFO - Activity 92365: No zones available\n", - "2024-05-14 18:29:31,610 - acbm.assigning - INFO - Activity 92370: No zones available\n", - "2024-05-14 18:29:31,611 - acbm.assigning - INFO - Activity 92371: No zones available\n", - "2024-05-14 18:29:31,612 - acbm.assigning - DEBUG - Activity 92460: Initial number of options for activity = 166\n", - "2024-05-14 18:29:31,615 - acbm.assigning - DEBUG - Activity 92460: Number of options after filtering by education type: 166\n", - "2024-05-14 18:29:31,616 - acbm.assigning - DEBUG - Activity 92460: sampling based on floor area\n", - "2024-05-14 18:29:31,618 - acbm.assigning - DEBUG - Activity 92462: Initial number of options for activity = 166\n", - "2024-05-14 18:29:31,620 - acbm.assigning - DEBUG - Activity 92462: Number of options after filtering by education type: 166\n", - "2024-05-14 18:29:31,621 - acbm.assigning - DEBUG - Activity 92462: sampling based on floor area\n", - "2024-05-14 18:29:31,622 - acbm.assigning - DEBUG - Activity 92466: Initial number of options for activity = 166\n", - "2024-05-14 18:29:31,624 - acbm.assigning - DEBUG - Activity 92466: Number of options after filtering by education type: 166\n", - "2024-05-14 18:29:31,625 - acbm.assigning - DEBUG - Activity 92466: sampling based on floor area\n", - "2024-05-14 18:29:31,626 - acbm.assigning - DEBUG - Activity 92468: Initial number of options for activity = 145\n", - "2024-05-14 18:29:31,629 - acbm.assigning - DEBUG - Activity 92468: Number of options after filtering by education type: 145\n", - "2024-05-14 18:29:31,630 - acbm.assigning - DEBUG - Activity 92468: sampling based on floor area\n", - "2024-05-14 18:29:31,632 - acbm.assigning - DEBUG - Activity 92614: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,634 - acbm.assigning - DEBUG - Activity 92614: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,635 - acbm.assigning - DEBUG - Activity 92614: sampling based on floor area\n", - "2024-05-14 18:29:31,637 - acbm.assigning - DEBUG - Activity 92616: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,639 - acbm.assigning - DEBUG - Activity 92616: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,641 - acbm.assigning - DEBUG - Activity 92616: sampling based on floor area\n", - "2024-05-14 18:29:31,643 - acbm.assigning - DEBUG - Activity 92618: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,646 - acbm.assigning - DEBUG - Activity 92618: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,647 - acbm.assigning - DEBUG - Activity 92618: sampling based on floor area\n", - "2024-05-14 18:29:31,649 - acbm.assigning - DEBUG - Activity 92620: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,652 - acbm.assigning - DEBUG - Activity 92620: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,653 - acbm.assigning - DEBUG - Activity 92620: sampling based on floor area\n", - "2024-05-14 18:29:31,654 - acbm.assigning - DEBUG - Activity 92622: Initial number of options for activity = 5\n", - "2024-05-14 18:29:31,658 - acbm.assigning - DEBUG - Activity 92622: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:31,660 - acbm.assigning - DEBUG - Activity 92622: sampling based on floor area\n", - "2024-05-14 18:29:31,662 - acbm.assigning - DEBUG - Activity 92624: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,665 - acbm.assigning - DEBUG - Activity 92624: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,667 - acbm.assigning - DEBUG - Activity 92624: sampling based on floor area\n", - "2024-05-14 18:29:31,669 - acbm.assigning - DEBUG - Activity 92626: Initial number of options for activity = 2\n", - "2024-05-14 18:29:31,671 - acbm.assigning - DEBUG - Activity 92626: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:31,673 - acbm.assigning - DEBUG - Activity 92626: sampling based on floor area\n", - "2024-05-14 18:29:31,674 - acbm.assigning - INFO - Activity 92630: No zones available\n", - "2024-05-14 18:29:31,675 - acbm.assigning - DEBUG - Activity 92696: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,678 - acbm.assigning - DEBUG - Activity 92696: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,679 - acbm.assigning - DEBUG - Activity 92696: sampling based on floor area\n", - "2024-05-14 18:29:31,681 - acbm.assigning - DEBUG - Activity 92698: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,682 - acbm.assigning - DEBUG - Activity 92698: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,683 - acbm.assigning - DEBUG - Activity 92698: sampling based on floor area\n", - "2024-05-14 18:29:31,684 - acbm.assigning - DEBUG - Activity 92700: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,686 - acbm.assigning - DEBUG - Activity 92700: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,686 - acbm.assigning - DEBUG - Activity 92700: sampling based on floor area\n", - "2024-05-14 18:29:31,687 - acbm.assigning - DEBUG - Activity 92702: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,690 - acbm.assigning - DEBUG - Activity 92702: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,691 - acbm.assigning - DEBUG - Activity 92702: sampling based on floor area\n", - "2024-05-14 18:29:31,692 - acbm.assigning - DEBUG - Activity 92745: Initial number of options for activity = 137\n", - "2024-05-14 18:29:31,694 - acbm.assigning - DEBUG - Activity 92745: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:31,695 - acbm.assigning - DEBUG - Activity 92745: sampling based on floor area\n", - "2024-05-14 18:29:31,697 - acbm.assigning - DEBUG - Activity 92747: Initial number of options for activity = 137\n", - "2024-05-14 18:29:31,699 - acbm.assigning - DEBUG - Activity 92747: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:31,699 - acbm.assigning - DEBUG - Activity 92747: sampling based on floor area\n", - "2024-05-14 18:29:31,700 - acbm.assigning - DEBUG - Activity 92749: Initial number of options for activity = 137\n", - "2024-05-14 18:29:31,703 - acbm.assigning - DEBUG - Activity 92749: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:31,704 - acbm.assigning - DEBUG - Activity 92749: sampling based on floor area\n", - "2024-05-14 18:29:31,705 - acbm.assigning - DEBUG - Activity 92751: Initial number of options for activity = 137\n", - "2024-05-14 18:29:31,707 - acbm.assigning - DEBUG - Activity 92751: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:31,709 - acbm.assigning - DEBUG - Activity 92751: sampling based on floor area\n", - "2024-05-14 18:29:31,710 - acbm.assigning - DEBUG - Activity 93041: Initial number of options for activity = 71\n", - "2024-05-14 18:29:31,713 - acbm.assigning - DEBUG - Activity 93041: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:31,714 - acbm.assigning - DEBUG - Activity 93041: sampling based on floor area\n", - "2024-05-14 18:29:31,715 - acbm.assigning - DEBUG - Activity 93042: Initial number of options for activity = 71\n", - "2024-05-14 18:29:31,717 - acbm.assigning - DEBUG - Activity 93042: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:31,718 - acbm.assigning - DEBUG - Activity 93042: sampling based on floor area\n", - "2024-05-14 18:29:31,719 - acbm.assigning - DEBUG - Activity 93043: Initial number of options for activity = 115\n", - "2024-05-14 18:29:31,720 - acbm.assigning - DEBUG - Activity 93043: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:31,720 - acbm.assigning - DEBUG - Activity 93043: sampling based on floor area\n", - "2024-05-14 18:29:31,721 - acbm.assigning - DEBUG - Activity 93050: Initial number of options for activity = 115\n", - "2024-05-14 18:29:31,723 - acbm.assigning - DEBUG - Activity 93050: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:31,724 - acbm.assigning - DEBUG - Activity 93050: sampling based on floor area\n", - "2024-05-14 18:29:31,725 - acbm.assigning - DEBUG - Activity 93053: Initial number of options for activity = 115\n", - "2024-05-14 18:29:31,728 - acbm.assigning - DEBUG - Activity 93053: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:31,729 - acbm.assigning - DEBUG - Activity 93053: sampling based on floor area\n", - "2024-05-14 18:29:31,730 - acbm.assigning - DEBUG - Activity 93058: Initial number of options for activity = 35\n", - "2024-05-14 18:29:31,733 - acbm.assigning - DEBUG - Activity 93058: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:31,734 - acbm.assigning - DEBUG - Activity 93058: sampling based on floor area\n", - "2024-05-14 18:29:31,742 - acbm.assigning - DEBUG - Activity 93059: Initial number of options for activity = 35\n", - "2024-05-14 18:29:31,745 - acbm.assigning - DEBUG - Activity 93059: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:31,747 - acbm.assigning - DEBUG - Activity 93059: sampling based on floor area\n", - "2024-05-14 18:29:31,749 - acbm.assigning - DEBUG - Activity 93061: Initial number of options for activity = 35\n", - "2024-05-14 18:29:31,754 - acbm.assigning - DEBUG - Activity 93061: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:31,755 - acbm.assigning - DEBUG - Activity 93061: sampling based on floor area\n", - "2024-05-14 18:29:31,756 - acbm.assigning - DEBUG - Activity 93062: Initial number of options for activity = 14\n", - "2024-05-14 18:29:31,759 - acbm.assigning - DEBUG - Activity 93062: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:31,760 - acbm.assigning - DEBUG - Activity 93062: sampling based on floor area\n", - "2024-05-14 18:29:31,763 - acbm.assigning - DEBUG - Activity 93068: Initial number of options for activity = 14\n", - "2024-05-14 18:29:31,766 - acbm.assigning - DEBUG - Activity 93068: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:31,767 - acbm.assigning - DEBUG - Activity 93068: sampling based on floor area\n", - "2024-05-14 18:29:31,768 - acbm.assigning - DEBUG - Activity 93149: Initial number of options for activity = 98\n", - "2024-05-14 18:29:31,771 - acbm.assigning - DEBUG - Activity 93149: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:31,772 - acbm.assigning - DEBUG - Activity 93149: sampling based on floor area\n", - "2024-05-14 18:29:31,774 - acbm.assigning - DEBUG - Activity 93152: Initial number of options for activity = 98\n", - "2024-05-14 18:29:31,777 - acbm.assigning - DEBUG - Activity 93152: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:31,778 - acbm.assigning - DEBUG - Activity 93152: sampling based on floor area\n", - "2024-05-14 18:29:31,780 - acbm.assigning - INFO - Activity 93194: No zones available\n", - "2024-05-14 18:29:31,780 - acbm.assigning - INFO - Activity 93344: No zones available\n", - "2024-05-14 18:29:31,781 - acbm.assigning - DEBUG - Activity 93351: Initial number of options for activity = 146\n", - "2024-05-14 18:29:31,784 - acbm.assigning - DEBUG - Activity 93351: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:31,785 - acbm.assigning - DEBUG - Activity 93351: sampling based on floor area\n", - "2024-05-14 18:29:31,787 - acbm.assigning - DEBUG - Activity 93352: Initial number of options for activity = 146\n", - "2024-05-14 18:29:31,790 - acbm.assigning - DEBUG - Activity 93352: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:31,791 - acbm.assigning - DEBUG - Activity 93352: sampling based on floor area\n", - "2024-05-14 18:29:31,793 - acbm.assigning - DEBUG - Activity 93353: Initial number of options for activity = 146\n", - "2024-05-14 18:29:31,797 - acbm.assigning - DEBUG - Activity 93353: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:31,798 - acbm.assigning - DEBUG - Activity 93353: sampling based on floor area\n", - "2024-05-14 18:29:31,799 - acbm.assigning - DEBUG - Activity 93355: Initial number of options for activity = 146\n", - "2024-05-14 18:29:31,801 - acbm.assigning - DEBUG - Activity 93355: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:31,802 - acbm.assigning - DEBUG - Activity 93355: sampling based on floor area\n", - "2024-05-14 18:29:31,804 - acbm.assigning - DEBUG - Activity 93412: Initial number of options for activity = 46\n", - "2024-05-14 18:29:31,806 - acbm.assigning - DEBUG - Activity 93412: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:31,807 - acbm.assigning - DEBUG - Activity 93412: sampling based on floor area\n", - "2024-05-14 18:29:31,808 - acbm.assigning - DEBUG - Activity 93414: Initial number of options for activity = 46\n", - "2024-05-14 18:29:31,811 - acbm.assigning - DEBUG - Activity 93414: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:31,813 - acbm.assigning - DEBUG - Activity 93414: sampling based on floor area\n", - "2024-05-14 18:29:31,815 - acbm.assigning - DEBUG - Activity 93416: Initial number of options for activity = 46\n", - "2024-05-14 18:29:31,817 - acbm.assigning - DEBUG - Activity 93416: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:31,819 - acbm.assigning - DEBUG - Activity 93416: sampling based on floor area\n", - "2024-05-14 18:29:31,828 - acbm.assigning - DEBUG - Activity 93418: Initial number of options for activity = 46\n", - "2024-05-14 18:29:31,834 - acbm.assigning - DEBUG - Activity 93418: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:31,838 - acbm.assigning - DEBUG - Activity 93418: sampling based on floor area\n", - "2024-05-14 18:29:31,840 - acbm.assigning - INFO - Activity 93735: No zones available\n", - "2024-05-14 18:29:31,841 - acbm.assigning - DEBUG - Activity 93761: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,844 - acbm.assigning - DEBUG - Activity 93761: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,845 - acbm.assigning - DEBUG - Activity 93761: sampling based on floor area\n", - "2024-05-14 18:29:31,846 - acbm.assigning - DEBUG - Activity 93765: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,849 - acbm.assigning - DEBUG - Activity 93765: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,850 - acbm.assigning - DEBUG - Activity 93765: sampling based on floor area\n", - "2024-05-14 18:29:31,852 - acbm.assigning - DEBUG - Activity 93766: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,854 - acbm.assigning - DEBUG - Activity 93766: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,856 - acbm.assigning - DEBUG - Activity 93766: sampling based on floor area\n", - "2024-05-14 18:29:31,858 - acbm.assigning - DEBUG - Activity 93798: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,860 - acbm.assigning - DEBUG - Activity 93798: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,861 - acbm.assigning - DEBUG - Activity 93798: sampling based on floor area\n", - "2024-05-14 18:29:31,863 - acbm.assigning - DEBUG - Activity 93948: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,865 - acbm.assigning - DEBUG - Activity 93948: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,866 - acbm.assigning - DEBUG - Activity 93948: sampling based on floor area\n", - "2024-05-14 18:29:31,868 - acbm.assigning - DEBUG - Activity 93950: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,870 - acbm.assigning - DEBUG - Activity 93950: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,871 - acbm.assigning - DEBUG - Activity 93950: sampling based on floor area\n", - "2024-05-14 18:29:31,873 - acbm.assigning - DEBUG - Activity 93952: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,876 - acbm.assigning - DEBUG - Activity 93952: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,877 - acbm.assigning - DEBUG - Activity 93952: sampling based on floor area\n", - "2024-05-14 18:29:31,878 - acbm.assigning - DEBUG - Activity 93954: Initial number of options for activity = 126\n", - "2024-05-14 18:29:31,882 - acbm.assigning - DEBUG - Activity 93954: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:31,883 - acbm.assigning - DEBUG - Activity 93954: sampling based on floor area\n", - "2024-05-14 18:29:31,885 - acbm.assigning - DEBUG - Activity 94049: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,888 - acbm.assigning - DEBUG - Activity 94049: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,889 - acbm.assigning - DEBUG - Activity 94049: sampling based on floor area\n", - "2024-05-14 18:29:31,890 - acbm.assigning - DEBUG - Activity 94050: Initial number of options for activity = 3\n", - "2024-05-14 18:29:31,893 - acbm.assigning - DEBUG - Activity 94050: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:31,894 - acbm.assigning - DEBUG - Activity 94050: sampling based on floor area\n", - "2024-05-14 18:29:31,895 - acbm.assigning - DEBUG - Activity 94060: Initial number of options for activity = 19\n", - "2024-05-14 18:29:31,898 - acbm.assigning - DEBUG - Activity 94060: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:31,899 - acbm.assigning - DEBUG - Activity 94060: sampling based on floor area\n", - "2024-05-14 18:29:31,901 - acbm.assigning - DEBUG - Activity 94106: Initial number of options for activity = 19\n", - "2024-05-14 18:29:31,903 - acbm.assigning - DEBUG - Activity 94106: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:31,904 - acbm.assigning - DEBUG - Activity 94106: sampling based on floor area\n", - "2024-05-14 18:29:31,905 - acbm.assigning - DEBUG - Activity 94109: Initial number of options for activity = 3\n", - "2024-05-14 18:29:31,908 - acbm.assigning - DEBUG - Activity 94109: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:31,909 - acbm.assigning - DEBUG - Activity 94109: sampling based on floor area\n", - "2024-05-14 18:29:31,911 - acbm.assigning - DEBUG - Activity 94111: Initial number of options for activity = 9\n", - "2024-05-14 18:29:31,913 - acbm.assigning - DEBUG - Activity 94111: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:31,914 - acbm.assigning - DEBUG - Activity 94111: sampling based on floor area\n", - "2024-05-14 18:29:31,915 - acbm.assigning - DEBUG - Activity 94338: Initial number of options for activity = 1\n", - "2024-05-14 18:29:31,919 - acbm.assigning - DEBUG - Activity 94338: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:31,921 - acbm.assigning - DEBUG - Activity 94338: sampling based on floor area\n", - "2024-05-14 18:29:31,923 - acbm.assigning - DEBUG - Activity 94339: Initial number of options for activity = 59\n", - "2024-05-14 18:29:31,926 - acbm.assigning - DEBUG - Activity 94339: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:31,927 - acbm.assigning - DEBUG - Activity 94339: sampling based on floor area\n", - "2024-05-14 18:29:31,929 - acbm.assigning - INFO - Activity 94394: No zones available\n", - "2024-05-14 18:29:31,931 - acbm.assigning - DEBUG - Activity 94549: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,933 - acbm.assigning - DEBUG - Activity 94549: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,934 - acbm.assigning - DEBUG - Activity 94549: sampling based on floor area\n", - "2024-05-14 18:29:31,937 - acbm.assigning - DEBUG - Activity 94551: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,940 - acbm.assigning - DEBUG - Activity 94551: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,941 - acbm.assigning - DEBUG - Activity 94551: sampling based on floor area\n", - "2024-05-14 18:29:31,942 - acbm.assigning - DEBUG - Activity 94555: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,945 - acbm.assigning - DEBUG - Activity 94555: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,947 - acbm.assigning - DEBUG - Activity 94555: sampling based on floor area\n", - "2024-05-14 18:29:31,948 - acbm.assigning - DEBUG - Activity 94560: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,951 - acbm.assigning - DEBUG - Activity 94560: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,952 - acbm.assigning - DEBUG - Activity 94560: sampling based on floor area\n", - "2024-05-14 18:29:31,953 - acbm.assigning - DEBUG - Activity 94562: Initial number of options for activity = 13\n", - "2024-05-14 18:29:31,955 - acbm.assigning - DEBUG - Activity 94562: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:31,956 - acbm.assigning - DEBUG - Activity 94562: sampling based on floor area\n", - "2024-05-14 18:29:31,958 - acbm.assigning - DEBUG - Activity 94704: Initial number of options for activity = 56\n", - "2024-05-14 18:29:31,960 - acbm.assigning - DEBUG - Activity 94704: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:31,961 - acbm.assigning - DEBUG - Activity 94704: sampling based on floor area\n", - "2024-05-14 18:29:31,962 - acbm.assigning - DEBUG - Activity 94706: Initial number of options for activity = 56\n", - "2024-05-14 18:29:31,964 - acbm.assigning - DEBUG - Activity 94706: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:31,965 - acbm.assigning - DEBUG - Activity 94706: sampling based on floor area\n", - "2024-05-14 18:29:31,967 - acbm.assigning - DEBUG - Activity 94708: Initial number of options for activity = 56\n", - "2024-05-14 18:29:31,969 - acbm.assigning - DEBUG - Activity 94708: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:31,970 - acbm.assigning - DEBUG - Activity 94708: sampling based on floor area\n", - "2024-05-14 18:29:31,971 - acbm.assigning - DEBUG - Activity 94710: Initial number of options for activity = 56\n", - "2024-05-14 18:29:31,973 - acbm.assigning - DEBUG - Activity 94710: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:31,974 - acbm.assigning - DEBUG - Activity 94710: sampling based on floor area\n", - "2024-05-14 18:29:31,975 - acbm.assigning - DEBUG - Activity 94714: Initial number of options for activity = 56\n", - "2024-05-14 18:29:31,977 - acbm.assigning - DEBUG - Activity 94714: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:31,978 - acbm.assigning - DEBUG - Activity 94714: sampling based on floor area\n", - "2024-05-14 18:29:31,980 - acbm.assigning - DEBUG - Activity 94741: Initial number of options for activity = 2\n", - "2024-05-14 18:29:31,982 - acbm.assigning - DEBUG - Activity 94741: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:31,983 - acbm.assigning - DEBUG - Activity 94741: sampling based on floor area\n", - "2024-05-14 18:29:31,984 - acbm.assigning - DEBUG - Activity 94787: Initial number of options for activity = 2\n", - "2024-05-14 18:29:31,987 - acbm.assigning - DEBUG - Activity 94787: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:31,994 - acbm.assigning - DEBUG - Activity 94787: sampling based on floor area\n", - "2024-05-14 18:29:31,997 - acbm.assigning - DEBUG - Activity 94791: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,000 - acbm.assigning - DEBUG - Activity 94791: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,002 - acbm.assigning - DEBUG - Activity 94791: sampling based on floor area\n", - "2024-05-14 18:29:32,004 - acbm.assigning - DEBUG - Activity 94792: Initial number of options for activity = 2\n", - "2024-05-14 18:29:32,007 - acbm.assigning - DEBUG - Activity 94792: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:32,009 - acbm.assigning - DEBUG - Activity 94792: sampling based on floor area\n", - "2024-05-14 18:29:32,011 - acbm.assigning - DEBUG - Activity 94796: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,013 - acbm.assigning - DEBUG - Activity 94796: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,014 - acbm.assigning - DEBUG - Activity 94796: sampling based on floor area\n", - "2024-05-14 18:29:32,016 - acbm.assigning - INFO - Activity 94799: No zones available\n", - "2024-05-14 18:29:32,017 - acbm.assigning - DEBUG - Activity 94800: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,019 - acbm.assigning - DEBUG - Activity 94800: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,020 - acbm.assigning - DEBUG - Activity 94800: sampling based on floor area\n", - "2024-05-14 18:29:32,022 - acbm.assigning - DEBUG - Activity 94840: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,024 - acbm.assigning - DEBUG - Activity 94840: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,025 - acbm.assigning - DEBUG - Activity 94840: sampling based on floor area\n", - "2024-05-14 18:29:32,026 - acbm.assigning - DEBUG - Activity 94843: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,028 - acbm.assigning - DEBUG - Activity 94843: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,029 - acbm.assigning - DEBUG - Activity 94843: sampling based on floor area\n", - "2024-05-14 18:29:32,031 - acbm.assigning - DEBUG - Activity 94984: Initial number of options for activity = 48\n", - "2024-05-14 18:29:32,033 - acbm.assigning - DEBUG - Activity 94984: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:32,034 - acbm.assigning - DEBUG - Activity 94984: sampling based on floor area\n", - "2024-05-14 18:29:32,035 - acbm.assigning - DEBUG - Activity 94985: Initial number of options for activity = 48\n", - "2024-05-14 18:29:32,038 - acbm.assigning - DEBUG - Activity 94985: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:32,038 - acbm.assigning - DEBUG - Activity 94985: sampling based on floor area\n", - "2024-05-14 18:29:32,040 - acbm.assigning - DEBUG - Activity 94986: Initial number of options for activity = 48\n", - "2024-05-14 18:29:32,042 - acbm.assigning - DEBUG - Activity 94986: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:32,042 - acbm.assigning - DEBUG - Activity 94986: sampling based on floor area\n", - "2024-05-14 18:29:32,044 - acbm.assigning - DEBUG - Activity 94987: Initial number of options for activity = 48\n", - "2024-05-14 18:29:32,048 - acbm.assigning - DEBUG - Activity 94987: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:32,049 - acbm.assigning - DEBUG - Activity 94987: sampling based on floor area\n", - "2024-05-14 18:29:32,051 - acbm.assigning - DEBUG - Activity 94988: Initial number of options for activity = 48\n", - "2024-05-14 18:29:32,053 - acbm.assigning - DEBUG - Activity 94988: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:32,054 - acbm.assigning - DEBUG - Activity 94988: sampling based on floor area\n", - "2024-05-14 18:29:32,055 - acbm.assigning - DEBUG - Activity 94993: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,056 - acbm.assigning - DEBUG - Activity 94993: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,057 - acbm.assigning - DEBUG - Activity 94993: sampling based on floor area\n", - "2024-05-14 18:29:32,058 - acbm.assigning - DEBUG - Activity 95001: Initial number of options for activity = 17\n", - "2024-05-14 18:29:32,060 - acbm.assigning - DEBUG - Activity 95001: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:32,061 - acbm.assigning - DEBUG - Activity 95001: sampling based on floor area\n", - "2024-05-14 18:29:32,062 - acbm.assigning - DEBUG - Activity 95002: Initial number of options for activity = 17\n", - "2024-05-14 18:29:32,064 - acbm.assigning - DEBUG - Activity 95002: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:32,065 - acbm.assigning - DEBUG - Activity 95002: sampling based on floor area\n", - "2024-05-14 18:29:32,066 - acbm.assigning - DEBUG - Activity 95008: Initial number of options for activity = 17\n", - "2024-05-14 18:29:32,067 - acbm.assigning - DEBUG - Activity 95008: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:32,068 - acbm.assigning - DEBUG - Activity 95008: sampling based on floor area\n", - "2024-05-14 18:29:32,069 - acbm.assigning - DEBUG - Activity 95010: Initial number of options for activity = 17\n", - "2024-05-14 18:29:32,072 - acbm.assigning - DEBUG - Activity 95010: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:32,073 - acbm.assigning - DEBUG - Activity 95010: sampling based on floor area\n", - "2024-05-14 18:29:32,075 - acbm.assigning - DEBUG - Activity 95012: Initial number of options for activity = 17\n", - "2024-05-14 18:29:32,077 - acbm.assigning - DEBUG - Activity 95012: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:32,079 - acbm.assigning - DEBUG - Activity 95012: sampling based on floor area\n", - "2024-05-14 18:29:32,081 - acbm.assigning - DEBUG - Activity 95214: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,083 - acbm.assigning - DEBUG - Activity 95214: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,084 - acbm.assigning - DEBUG - Activity 95214: sampling based on floor area\n", - "2024-05-14 18:29:32,086 - acbm.assigning - DEBUG - Activity 95215: Initial number of options for activity = 8\n", - "2024-05-14 18:29:32,088 - acbm.assigning - DEBUG - Activity 95215: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:32,088 - acbm.assigning - DEBUG - Activity 95215: sampling based on floor area\n", - "2024-05-14 18:29:32,090 - acbm.assigning - DEBUG - Activity 95216: Initial number of options for activity = 8\n", - "2024-05-14 18:29:32,093 - acbm.assigning - DEBUG - Activity 95216: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:32,094 - acbm.assigning - DEBUG - Activity 95216: sampling based on floor area\n", - "2024-05-14 18:29:32,095 - acbm.assigning - DEBUG - Activity 95220: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,098 - acbm.assigning - DEBUG - Activity 95220: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,099 - acbm.assigning - DEBUG - Activity 95220: sampling based on floor area\n", - "2024-05-14 18:29:32,101 - acbm.assigning - DEBUG - Activity 95223: Initial number of options for activity = 8\n", - "2024-05-14 18:29:32,102 - acbm.assigning - DEBUG - Activity 95223: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:32,103 - acbm.assigning - DEBUG - Activity 95223: sampling based on floor area\n", - "2024-05-14 18:29:32,104 - acbm.assigning - DEBUG - Activity 95265: Initial number of options for activity = 119\n", - "2024-05-14 18:29:32,106 - acbm.assigning - DEBUG - Activity 95265: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:32,106 - acbm.assigning - DEBUG - Activity 95265: sampling based on floor area\n", - "2024-05-14 18:29:32,108 - acbm.assigning - DEBUG - Activity 95267: Initial number of options for activity = 119\n", - "2024-05-14 18:29:32,110 - acbm.assigning - DEBUG - Activity 95267: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:32,110 - acbm.assigning - DEBUG - Activity 95267: sampling based on floor area\n", - "2024-05-14 18:29:32,111 - acbm.assigning - DEBUG - Activity 95269: Initial number of options for activity = 119\n", - "2024-05-14 18:29:32,113 - acbm.assigning - DEBUG - Activity 95269: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:32,114 - acbm.assigning - DEBUG - Activity 95269: sampling based on floor area\n", - "2024-05-14 18:29:32,116 - acbm.assigning - DEBUG - Activity 95271: Initial number of options for activity = 119\n", - "2024-05-14 18:29:32,118 - acbm.assigning - DEBUG - Activity 95271: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:32,118 - acbm.assigning - DEBUG - Activity 95271: sampling based on floor area\n", - "2024-05-14 18:29:32,120 - acbm.assigning - DEBUG - Activity 95401: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,122 - acbm.assigning - DEBUG - Activity 95401: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,122 - acbm.assigning - DEBUG - Activity 95401: sampling based on floor area\n", - "2024-05-14 18:29:32,124 - acbm.assigning - DEBUG - Activity 95406: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,125 - acbm.assigning - DEBUG - Activity 95406: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,126 - acbm.assigning - DEBUG - Activity 95406: sampling based on floor area\n", - "2024-05-14 18:29:32,127 - acbm.assigning - DEBUG - Activity 95408: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,129 - acbm.assigning - DEBUG - Activity 95408: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,130 - acbm.assigning - DEBUG - Activity 95408: sampling based on floor area\n", - "2024-05-14 18:29:32,131 - acbm.assigning - DEBUG - Activity 95410: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,133 - acbm.assigning - DEBUG - Activity 95410: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,133 - acbm.assigning - DEBUG - Activity 95410: sampling based on floor area\n", - "2024-05-14 18:29:32,134 - acbm.assigning - DEBUG - Activity 95412: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,137 - acbm.assigning - DEBUG - Activity 95412: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,137 - acbm.assigning - DEBUG - Activity 95412: sampling based on floor area\n", - "2024-05-14 18:29:32,138 - acbm.assigning - DEBUG - Activity 95615: Initial number of options for activity = 48\n", - "2024-05-14 18:29:32,140 - acbm.assigning - DEBUG - Activity 95615: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:32,141 - acbm.assigning - DEBUG - Activity 95615: sampling based on floor area\n", - "2024-05-14 18:29:32,142 - acbm.assigning - DEBUG - Activity 95620: Initial number of options for activity = 16\n", - "2024-05-14 18:29:32,144 - acbm.assigning - DEBUG - Activity 95620: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:32,145 - acbm.assigning - DEBUG - Activity 95620: sampling based on floor area\n", - "2024-05-14 18:29:32,146 - acbm.assigning - DEBUG - Activity 95622: Initial number of options for activity = 20\n", - "2024-05-14 18:29:32,173 - acbm.assigning - DEBUG - Activity 95622: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:32,175 - acbm.assigning - DEBUG - Activity 95622: sampling based on floor area\n", - "2024-05-14 18:29:32,177 - acbm.assigning - DEBUG - Activity 95624: Initial number of options for activity = 48\n", - "2024-05-14 18:29:32,181 - acbm.assigning - DEBUG - Activity 95624: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:32,182 - acbm.assigning - DEBUG - Activity 95624: sampling based on floor area\n", - "2024-05-14 18:29:32,184 - acbm.assigning - DEBUG - Activity 95629: Initial number of options for activity = 20\n", - "2024-05-14 18:29:32,189 - acbm.assigning - DEBUG - Activity 95629: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:32,190 - acbm.assigning - DEBUG - Activity 95629: sampling based on floor area\n", - "2024-05-14 18:29:32,192 - acbm.assigning - DEBUG - Activity 95689: Initial number of options for activity = 109\n", - "2024-05-14 18:29:32,196 - acbm.assigning - DEBUG - Activity 95689: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:32,197 - acbm.assigning - DEBUG - Activity 95689: sampling based on floor area\n", - "2024-05-14 18:29:32,198 - acbm.assigning - DEBUG - Activity 95691: Initial number of options for activity = 109\n", - "2024-05-14 18:29:32,203 - acbm.assigning - DEBUG - Activity 95691: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:32,204 - acbm.assigning - DEBUG - Activity 95691: sampling based on floor area\n", - "2024-05-14 18:29:32,206 - acbm.assigning - DEBUG - Activity 95693: Initial number of options for activity = 109\n", - "2024-05-14 18:29:32,210 - acbm.assigning - DEBUG - Activity 95693: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:32,211 - acbm.assigning - DEBUG - Activity 95693: sampling based on floor area\n", - "2024-05-14 18:29:32,213 - acbm.assigning - DEBUG - Activity 95695: Initial number of options for activity = 109\n", - "2024-05-14 18:29:32,217 - acbm.assigning - DEBUG - Activity 95695: Number of options after filtering by education type: 109\n", - "2024-05-14 18:29:32,219 - acbm.assigning - DEBUG - Activity 95695: sampling based on floor area\n", - "2024-05-14 18:29:32,222 - acbm.assigning - DEBUG - Activity 95788: Initial number of options for activity = 19\n", - "2024-05-14 18:29:32,225 - acbm.assigning - DEBUG - Activity 95788: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:32,226 - acbm.assigning - DEBUG - Activity 95788: sampling based on floor area\n", - "2024-05-14 18:29:32,229 - acbm.assigning - INFO - Activity 95792: No zones available\n", - "2024-05-14 18:29:32,230 - acbm.assigning - INFO - Activity 95793: No zones available\n", - "2024-05-14 18:29:32,231 - acbm.assigning - INFO - Activity 95794: No zones available\n", - "2024-05-14 18:29:32,231 - acbm.assigning - INFO - Activity 95796: No zones available\n", - "2024-05-14 18:29:32,232 - acbm.assigning - DEBUG - Activity 95867: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,236 - acbm.assigning - DEBUG - Activity 95867: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,238 - acbm.assigning - DEBUG - Activity 95867: sampling based on floor area\n", - "2024-05-14 18:29:32,239 - acbm.assigning - DEBUG - Activity 95875: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,243 - acbm.assigning - DEBUG - Activity 95875: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,244 - acbm.assigning - DEBUG - Activity 95875: sampling based on floor area\n", - "2024-05-14 18:29:32,246 - acbm.assigning - DEBUG - Activity 95877: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,248 - acbm.assigning - DEBUG - Activity 95877: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,267 - acbm.assigning - DEBUG - Activity 95877: sampling based on floor area\n", - "2024-05-14 18:29:32,269 - acbm.assigning - DEBUG - Activity 95879: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,272 - acbm.assigning - DEBUG - Activity 95879: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,273 - acbm.assigning - DEBUG - Activity 95879: sampling based on floor area\n", - "2024-05-14 18:29:32,275 - acbm.assigning - DEBUG - Activity 95883: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,277 - acbm.assigning - DEBUG - Activity 95883: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,278 - acbm.assigning - DEBUG - Activity 95883: sampling based on floor area\n", - "2024-05-14 18:29:32,279 - acbm.assigning - DEBUG - Activity 95896: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,281 - acbm.assigning - DEBUG - Activity 95896: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,282 - acbm.assigning - DEBUG - Activity 95896: sampling based on floor area\n", - "2024-05-14 18:29:32,284 - acbm.assigning - DEBUG - Activity 95900: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,286 - acbm.assigning - DEBUG - Activity 95900: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,287 - acbm.assigning - DEBUG - Activity 95900: sampling based on floor area\n", - "2024-05-14 18:29:32,288 - acbm.assigning - DEBUG - Activity 95902: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,290 - acbm.assigning - DEBUG - Activity 95902: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,292 - acbm.assigning - DEBUG - Activity 95902: sampling based on floor area\n", - "2024-05-14 18:29:32,294 - acbm.assigning - DEBUG - Activity 95920: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,296 - acbm.assigning - DEBUG - Activity 95920: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,298 - acbm.assigning - DEBUG - Activity 95920: sampling based on floor area\n", - "2024-05-14 18:29:32,300 - acbm.assigning - DEBUG - Activity 95970: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,304 - acbm.assigning - DEBUG - Activity 95970: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,305 - acbm.assigning - DEBUG - Activity 95970: sampling based on floor area\n", - "2024-05-14 18:29:32,308 - acbm.assigning - DEBUG - Activity 96345: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,311 - acbm.assigning - DEBUG - Activity 96345: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,312 - acbm.assigning - DEBUG - Activity 96345: sampling based on floor area\n", - "2024-05-14 18:29:32,315 - acbm.assigning - DEBUG - Activity 96353: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,317 - acbm.assigning - DEBUG - Activity 96353: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,318 - acbm.assigning - DEBUG - Activity 96353: sampling based on floor area\n", - "2024-05-14 18:29:32,320 - acbm.assigning - DEBUG - Activity 96355: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,322 - acbm.assigning - DEBUG - Activity 96355: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,323 - acbm.assigning - DEBUG - Activity 96355: sampling based on floor area\n", - "2024-05-14 18:29:32,324 - acbm.assigning - DEBUG - Activity 96357: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,326 - acbm.assigning - DEBUG - Activity 96357: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,327 - acbm.assigning - DEBUG - Activity 96357: sampling based on floor area\n", - "2024-05-14 18:29:32,329 - acbm.assigning - DEBUG - Activity 96361: Initial number of options for activity = 2\n", - "2024-05-14 18:29:32,331 - acbm.assigning - DEBUG - Activity 96361: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:32,332 - acbm.assigning - DEBUG - Activity 96361: sampling based on floor area\n", - "2024-05-14 18:29:32,333 - acbm.assigning - DEBUG - Activity 96379: Initial number of options for activity = 2\n", - "2024-05-14 18:29:32,335 - acbm.assigning - DEBUG - Activity 96379: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:32,336 - acbm.assigning - DEBUG - Activity 96379: sampling based on floor area\n", - "2024-05-14 18:29:32,337 - acbm.assigning - DEBUG - Activity 96395: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,339 - acbm.assigning - DEBUG - Activity 96395: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,340 - acbm.assigning - DEBUG - Activity 96395: sampling based on floor area\n", - "2024-05-14 18:29:32,342 - acbm.assigning - DEBUG - Activity 96408: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,345 - acbm.assigning - DEBUG - Activity 96408: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,345 - acbm.assigning - DEBUG - Activity 96408: sampling based on floor area\n", - "2024-05-14 18:29:32,347 - acbm.assigning - DEBUG - Activity 96412: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,348 - acbm.assigning - DEBUG - Activity 96412: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,349 - acbm.assigning - DEBUG - Activity 96412: sampling based on floor area\n", - "2024-05-14 18:29:32,351 - acbm.assigning - DEBUG - Activity 96448: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,354 - acbm.assigning - DEBUG - Activity 96448: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,355 - acbm.assigning - DEBUG - Activity 96448: sampling based on floor area\n", - "2024-05-14 18:29:32,357 - acbm.assigning - DEBUG - Activity 96504: Initial number of options for activity = 59\n", - "2024-05-14 18:29:32,360 - acbm.assigning - DEBUG - Activity 96504: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:32,361 - acbm.assigning - DEBUG - Activity 96504: sampling based on floor area\n", - "2024-05-14 18:29:32,363 - acbm.assigning - DEBUG - Activity 96508: Initial number of options for activity = 59\n", - "2024-05-14 18:29:32,366 - acbm.assigning - DEBUG - Activity 96508: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:32,368 - acbm.assigning - DEBUG - Activity 96508: sampling based on floor area\n", - "2024-05-14 18:29:32,369 - acbm.assigning - DEBUG - Activity 96510: Initial number of options for activity = 59\n", - "2024-05-14 18:29:32,372 - acbm.assigning - DEBUG - Activity 96510: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:32,373 - acbm.assigning - DEBUG - Activity 96510: sampling based on floor area\n", - "2024-05-14 18:29:32,374 - acbm.assigning - DEBUG - Activity 96570: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,377 - acbm.assigning - DEBUG - Activity 96570: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,378 - acbm.assigning - DEBUG - Activity 96570: sampling based on floor area\n", - "2024-05-14 18:29:32,380 - acbm.assigning - DEBUG - Activity 96586: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,382 - acbm.assigning - DEBUG - Activity 96586: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,383 - acbm.assigning - DEBUG - Activity 96586: sampling based on floor area\n", - "2024-05-14 18:29:32,385 - acbm.assigning - DEBUG - Activity 96597: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,387 - acbm.assigning - DEBUG - Activity 96597: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,388 - acbm.assigning - DEBUG - Activity 96597: sampling based on floor area\n", - "2024-05-14 18:29:32,389 - acbm.assigning - DEBUG - Activity 96786: Initial number of options for activity = 19\n", - "2024-05-14 18:29:32,391 - acbm.assigning - DEBUG - Activity 96786: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:32,391 - acbm.assigning - DEBUG - Activity 96786: sampling based on floor area\n", - "2024-05-14 18:29:32,393 - acbm.assigning - DEBUG - Activity 96789: Initial number of options for activity = 19\n", - "2024-05-14 18:29:32,395 - acbm.assigning - DEBUG - Activity 96789: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:32,397 - acbm.assigning - DEBUG - Activity 96789: sampling based on floor area\n", - "2024-05-14 18:29:32,399 - acbm.assigning - DEBUG - Activity 96794: Initial number of options for activity = 19\n", - "2024-05-14 18:29:32,401 - acbm.assigning - DEBUG - Activity 96794: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:32,402 - acbm.assigning - DEBUG - Activity 96794: sampling based on floor area\n", - "2024-05-14 18:29:32,404 - acbm.assigning - DEBUG - Activity 96805: Initial number of options for activity = 19\n", - "2024-05-14 18:29:32,406 - acbm.assigning - DEBUG - Activity 96805: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:32,407 - acbm.assigning - DEBUG - Activity 96805: sampling based on floor area\n", - "2024-05-14 18:29:32,408 - acbm.assigning - DEBUG - Activity 96807: Initial number of options for activity = 19\n", - "2024-05-14 18:29:32,410 - acbm.assigning - DEBUG - Activity 96807: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:32,411 - acbm.assigning - DEBUG - Activity 96807: sampling based on floor area\n", - "2024-05-14 18:29:32,412 - acbm.assigning - DEBUG - Activity 96809: Initial number of options for activity = 67\n", - "2024-05-14 18:29:32,416 - acbm.assigning - DEBUG - Activity 96809: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:32,417 - acbm.assigning - DEBUG - Activity 96809: sampling based on floor area\n", - "2024-05-14 18:29:32,419 - acbm.assigning - DEBUG - Activity 96811: Initial number of options for activity = 67\n", - "2024-05-14 18:29:32,422 - acbm.assigning - DEBUG - Activity 96811: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:32,423 - acbm.assigning - DEBUG - Activity 96811: sampling based on floor area\n", - "2024-05-14 18:29:32,424 - acbm.assigning - DEBUG - Activity 96815: Initial number of options for activity = 67\n", - "2024-05-14 18:29:32,426 - acbm.assigning - DEBUG - Activity 96815: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:32,427 - acbm.assigning - DEBUG - Activity 96815: sampling based on floor area\n", - "2024-05-14 18:29:32,429 - acbm.assigning - DEBUG - Activity 96817: Initial number of options for activity = 67\n", - "2024-05-14 18:29:32,432 - acbm.assigning - DEBUG - Activity 96817: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:32,433 - acbm.assigning - DEBUG - Activity 96817: sampling based on floor area\n", - "2024-05-14 18:29:32,435 - acbm.assigning - DEBUG - Activity 96818: Initial number of options for activity = 67\n", - "2024-05-14 18:29:32,437 - acbm.assigning - DEBUG - Activity 96818: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:32,438 - acbm.assigning - DEBUG - Activity 96818: sampling based on floor area\n", - "2024-05-14 18:29:32,439 - acbm.assigning - DEBUG - Activity 96897: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,440 - acbm.assigning - DEBUG - Activity 96897: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,441 - acbm.assigning - DEBUG - Activity 96897: sampling based on floor area\n", - "2024-05-14 18:29:32,442 - acbm.assigning - INFO - Activity 96900: No zones available\n", - "2024-05-14 18:29:32,443 - acbm.assigning - DEBUG - Activity 96938: Initial number of options for activity = 2\n", - "2024-05-14 18:29:32,445 - acbm.assigning - DEBUG - Activity 96938: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:32,445 - acbm.assigning - DEBUG - Activity 96938: sampling based on floor area\n", - "2024-05-14 18:29:32,447 - acbm.assigning - DEBUG - Activity 96939: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,449 - acbm.assigning - DEBUG - Activity 96939: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,450 - acbm.assigning - DEBUG - Activity 96939: sampling based on floor area\n", - "2024-05-14 18:29:32,451 - acbm.assigning - DEBUG - Activity 96940: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,452 - acbm.assigning - DEBUG - Activity 96940: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,453 - acbm.assigning - DEBUG - Activity 96940: sampling based on floor area\n", - "2024-05-14 18:29:32,454 - acbm.assigning - DEBUG - Activity 96944: Initial number of options for activity = 2\n", - "2024-05-14 18:29:32,456 - acbm.assigning - DEBUG - Activity 96944: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:32,456 - acbm.assigning - DEBUG - Activity 96944: sampling based on floor area\n", - "2024-05-14 18:29:32,458 - acbm.assigning - DEBUG - Activity 96947: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,460 - acbm.assigning - DEBUG - Activity 96947: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,461 - acbm.assigning - DEBUG - Activity 96947: sampling based on floor area\n", - "2024-05-14 18:29:32,473 - acbm.assigning - DEBUG - Activity 97017: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,476 - acbm.assigning - DEBUG - Activity 97017: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,477 - acbm.assigning - DEBUG - Activity 97017: sampling based on floor area\n", - "2024-05-14 18:29:32,479 - acbm.assigning - DEBUG - Activity 97025: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,480 - acbm.assigning - DEBUG - Activity 97025: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,481 - acbm.assigning - DEBUG - Activity 97025: sampling based on floor area\n", - "2024-05-14 18:29:32,484 - acbm.assigning - DEBUG - Activity 97027: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,487 - acbm.assigning - DEBUG - Activity 97027: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,487 - acbm.assigning - DEBUG - Activity 97027: sampling based on floor area\n", - "2024-05-14 18:29:32,489 - acbm.assigning - DEBUG - Activity 97029: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,491 - acbm.assigning - DEBUG - Activity 97029: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,492 - acbm.assigning - DEBUG - Activity 97029: sampling based on floor area\n", - "2024-05-14 18:29:32,494 - acbm.assigning - DEBUG - Activity 97033: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,496 - acbm.assigning - DEBUG - Activity 97033: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,497 - acbm.assigning - DEBUG - Activity 97033: sampling based on floor area\n", - "2024-05-14 18:29:32,499 - acbm.assigning - DEBUG - Activity 97046: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,501 - acbm.assigning - DEBUG - Activity 97046: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,502 - acbm.assigning - DEBUG - Activity 97046: sampling based on floor area\n", - "2024-05-14 18:29:32,503 - acbm.assigning - DEBUG - Activity 97050: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,505 - acbm.assigning - DEBUG - Activity 97050: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,506 - acbm.assigning - DEBUG - Activity 97050: sampling based on floor area\n", - "2024-05-14 18:29:32,507 - acbm.assigning - DEBUG - Activity 97052: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,508 - acbm.assigning - DEBUG - Activity 97052: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,509 - acbm.assigning - DEBUG - Activity 97052: sampling based on floor area\n", - "2024-05-14 18:29:32,511 - acbm.assigning - DEBUG - Activity 97068: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,514 - acbm.assigning - DEBUG - Activity 97068: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,515 - acbm.assigning - DEBUG - Activity 97068: sampling based on floor area\n", - "2024-05-14 18:29:32,516 - acbm.assigning - DEBUG - Activity 97120: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,518 - acbm.assigning - DEBUG - Activity 97120: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,519 - acbm.assigning - DEBUG - Activity 97120: sampling based on floor area\n", - "2024-05-14 18:29:32,528 - acbm.assigning - DEBUG - Activity 97261: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,531 - acbm.assigning - DEBUG - Activity 97261: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,532 - acbm.assigning - DEBUG - Activity 97261: sampling based on floor area\n", - "2024-05-14 18:29:32,534 - acbm.assigning - DEBUG - Activity 97365: Initial number of options for activity = 100\n", - "2024-05-14 18:29:32,536 - acbm.assigning - DEBUG - Activity 97365: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:32,537 - acbm.assigning - DEBUG - Activity 97365: sampling based on floor area\n", - "2024-05-14 18:29:32,539 - acbm.assigning - DEBUG - Activity 97366: Initial number of options for activity = 100\n", - "2024-05-14 18:29:32,541 - acbm.assigning - DEBUG - Activity 97366: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:32,542 - acbm.assigning - DEBUG - Activity 97366: sampling based on floor area\n", - "2024-05-14 18:29:32,543 - acbm.assigning - DEBUG - Activity 97368: Initial number of options for activity = 82\n", - "2024-05-14 18:29:32,545 - acbm.assigning - DEBUG - Activity 97368: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:32,546 - acbm.assigning - DEBUG - Activity 97368: sampling based on floor area\n", - "2024-05-14 18:29:32,547 - acbm.assigning - DEBUG - Activity 97372: Initial number of options for activity = 100\n", - "2024-05-14 18:29:32,549 - acbm.assigning - DEBUG - Activity 97372: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:32,551 - acbm.assigning - DEBUG - Activity 97372: sampling based on floor area\n", - "2024-05-14 18:29:32,553 - acbm.assigning - DEBUG - Activity 97374: Initial number of options for activity = 91\n", - "2024-05-14 18:29:32,556 - acbm.assigning - DEBUG - Activity 97374: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:32,557 - acbm.assigning - DEBUG - Activity 97374: sampling based on floor area\n", - "2024-05-14 18:29:32,559 - acbm.assigning - DEBUG - Activity 97375: Initial number of options for activity = 91\n", - "2024-05-14 18:29:32,562 - acbm.assigning - DEBUG - Activity 97375: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:32,563 - acbm.assigning - DEBUG - Activity 97375: sampling based on floor area\n", - "2024-05-14 18:29:32,565 - acbm.assigning - DEBUG - Activity 97572: Initial number of options for activity = 128\n", - "2024-05-14 18:29:32,568 - acbm.assigning - DEBUG - Activity 97572: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:32,568 - acbm.assigning - DEBUG - Activity 97572: sampling based on floor area\n", - "2024-05-14 18:29:32,570 - acbm.assigning - DEBUG - Activity 97576: Initial number of options for activity = 128\n", - "2024-05-14 18:29:32,572 - acbm.assigning - DEBUG - Activity 97576: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:32,573 - acbm.assigning - DEBUG - Activity 97576: sampling based on floor area\n", - "2024-05-14 18:29:32,574 - acbm.assigning - DEBUG - Activity 97578: Initial number of options for activity = 128\n", - "2024-05-14 18:29:32,576 - acbm.assigning - DEBUG - Activity 97578: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:32,577 - acbm.assigning - DEBUG - Activity 97578: sampling based on floor area\n", - "2024-05-14 18:29:32,578 - acbm.assigning - DEBUG - Activity 97580: Initial number of options for activity = 128\n", - "2024-05-14 18:29:32,580 - acbm.assigning - DEBUG - Activity 97580: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:32,581 - acbm.assigning - DEBUG - Activity 97580: sampling based on floor area\n", - "2024-05-14 18:29:32,582 - acbm.assigning - DEBUG - Activity 97582: Initial number of options for activity = 63\n", - "2024-05-14 18:29:32,587 - acbm.assigning - DEBUG - Activity 97582: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:32,587 - acbm.assigning - DEBUG - Activity 97582: sampling based on floor area\n", - "2024-05-14 18:29:32,589 - acbm.assigning - DEBUG - Activity 97584: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,600 - acbm.assigning - DEBUG - Activity 97584: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,601 - acbm.assigning - DEBUG - Activity 97584: sampling based on floor area\n", - "2024-05-14 18:29:32,603 - acbm.assigning - DEBUG - Activity 97588: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,606 - acbm.assigning - DEBUG - Activity 97588: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,607 - acbm.assigning - DEBUG - Activity 97588: sampling based on floor area\n", - "2024-05-14 18:29:32,608 - acbm.assigning - DEBUG - Activity 97590: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,610 - acbm.assigning - DEBUG - Activity 97590: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,611 - acbm.assigning - DEBUG - Activity 97590: sampling based on floor area\n", - "2024-05-14 18:29:32,613 - acbm.assigning - DEBUG - Activity 97592: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,616 - acbm.assigning - DEBUG - Activity 97592: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,618 - acbm.assigning - DEBUG - Activity 97592: sampling based on floor area\n", - "2024-05-14 18:29:32,620 - acbm.assigning - DEBUG - Activity 97596: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,622 - acbm.assigning - DEBUG - Activity 97596: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,623 - acbm.assigning - DEBUG - Activity 97596: sampling based on floor area\n", - "2024-05-14 18:29:32,625 - acbm.assigning - INFO - Activity 97678: No zones available\n", - "2024-05-14 18:29:32,626 - acbm.assigning - DEBUG - Activity 97721: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,628 - acbm.assigning - DEBUG - Activity 97721: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,629 - acbm.assigning - DEBUG - Activity 97721: sampling based on floor area\n", - "2024-05-14 18:29:32,630 - acbm.assigning - DEBUG - Activity 97730: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,633 - acbm.assigning - DEBUG - Activity 97730: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,634 - acbm.assigning - DEBUG - Activity 97730: sampling based on floor area\n", - "2024-05-14 18:29:32,635 - acbm.assigning - DEBUG - Activity 97837: Initial number of options for activity = 9\n", - "2024-05-14 18:29:32,638 - acbm.assigning - DEBUG - Activity 97837: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:32,639 - acbm.assigning - DEBUG - Activity 97837: sampling based on floor area\n", - "2024-05-14 18:29:32,640 - acbm.assigning - DEBUG - Activity 97838: Initial number of options for activity = 2\n", - "2024-05-14 18:29:32,642 - acbm.assigning - DEBUG - Activity 97838: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:32,643 - acbm.assigning - DEBUG - Activity 97838: sampling based on floor area\n", - "2024-05-14 18:29:32,645 - acbm.assigning - DEBUG - Activity 97839: Initial number of options for activity = 2\n", - "2024-05-14 18:29:32,646 - acbm.assigning - DEBUG - Activity 97839: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:32,647 - acbm.assigning - DEBUG - Activity 97839: sampling based on floor area\n", - "2024-05-14 18:29:32,649 - acbm.assigning - DEBUG - Activity 97841: Initial number of options for activity = 9\n", - "2024-05-14 18:29:32,651 - acbm.assigning - DEBUG - Activity 97841: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:32,652 - acbm.assigning - DEBUG - Activity 97841: sampling based on floor area\n", - "2024-05-14 18:29:32,653 - acbm.assigning - DEBUG - Activity 97842: Initial number of options for activity = 9\n", - "2024-05-14 18:29:32,655 - acbm.assigning - DEBUG - Activity 97842: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:32,655 - acbm.assigning - DEBUG - Activity 97842: sampling based on floor area\n", - "2024-05-14 18:29:32,657 - acbm.assigning - DEBUG - Activity 97847: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,660 - acbm.assigning - DEBUG - Activity 97847: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,661 - acbm.assigning - DEBUG - Activity 97847: sampling based on floor area\n", - "2024-05-14 18:29:32,662 - acbm.assigning - DEBUG - Activity 97848: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,665 - acbm.assigning - DEBUG - Activity 97848: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,666 - acbm.assigning - DEBUG - Activity 97848: sampling based on floor area\n", - "2024-05-14 18:29:32,667 - acbm.assigning - DEBUG - Activity 97851: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,670 - acbm.assigning - DEBUG - Activity 97851: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,671 - acbm.assigning - DEBUG - Activity 97851: sampling based on floor area\n", - "2024-05-14 18:29:32,673 - acbm.assigning - DEBUG - Activity 97852: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,675 - acbm.assigning - DEBUG - Activity 97852: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,676 - acbm.assigning - DEBUG - Activity 97852: sampling based on floor area\n", - "2024-05-14 18:29:32,678 - acbm.assigning - DEBUG - Activity 97853: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,680 - acbm.assigning - DEBUG - Activity 97853: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,681 - acbm.assigning - DEBUG - Activity 97853: sampling based on floor area\n", - "2024-05-14 18:29:32,682 - acbm.assigning - DEBUG - Activity 97857: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,685 - acbm.assigning - DEBUG - Activity 97857: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,686 - acbm.assigning - DEBUG - Activity 97857: sampling based on floor area\n", - "2024-05-14 18:29:32,687 - acbm.assigning - DEBUG - Activity 97858: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,690 - acbm.assigning - DEBUG - Activity 97858: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,691 - acbm.assigning - DEBUG - Activity 97858: sampling based on floor area\n", - "2024-05-14 18:29:32,693 - acbm.assigning - DEBUG - Activity 97859: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,695 - acbm.assigning - DEBUG - Activity 97859: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,696 - acbm.assigning - DEBUG - Activity 97859: sampling based on floor area\n", - "2024-05-14 18:29:32,697 - acbm.assigning - DEBUG - Activity 97860: Initial number of options for activity = 4\n", - "2024-05-14 18:29:32,699 - acbm.assigning - DEBUG - Activity 97860: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:32,701 - acbm.assigning - DEBUG - Activity 97860: sampling based on floor area\n", - "2024-05-14 18:29:32,702 - acbm.assigning - DEBUG - Activity 97865: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,704 - acbm.assigning - DEBUG - Activity 97865: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,705 - acbm.assigning - DEBUG - Activity 97865: sampling based on floor area\n", - "2024-05-14 18:29:32,706 - acbm.assigning - DEBUG - Activity 97909: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,707 - acbm.assigning - DEBUG - Activity 97909: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,708 - acbm.assigning - DEBUG - Activity 97909: sampling based on floor area\n", - "2024-05-14 18:29:32,710 - acbm.assigning - DEBUG - Activity 97952: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,713 - acbm.assigning - DEBUG - Activity 97952: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,715 - acbm.assigning - DEBUG - Activity 97952: sampling based on floor area\n", - "2024-05-14 18:29:32,718 - acbm.assigning - DEBUG - Activity 97956: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,720 - acbm.assigning - DEBUG - Activity 97956: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,721 - acbm.assigning - DEBUG - Activity 97956: sampling based on floor area\n", - "2024-05-14 18:29:32,722 - acbm.assigning - DEBUG - Activity 97957: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,723 - acbm.assigning - DEBUG - Activity 97957: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,725 - acbm.assigning - DEBUG - Activity 97957: sampling based on floor area\n", - "2024-05-14 18:29:32,726 - acbm.assigning - DEBUG - Activity 97959: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,728 - acbm.assigning - DEBUG - Activity 97959: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,728 - acbm.assigning - DEBUG - Activity 97959: sampling based on floor area\n", - "2024-05-14 18:29:32,729 - acbm.assigning - DEBUG - Activity 97965: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,731 - acbm.assigning - DEBUG - Activity 97965: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,732 - acbm.assigning - DEBUG - Activity 97965: sampling based on floor area\n", - "2024-05-14 18:29:32,734 - acbm.assigning - DEBUG - Activity 97971: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,736 - acbm.assigning - DEBUG - Activity 97971: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,737 - acbm.assigning - DEBUG - Activity 97971: sampling based on floor area\n", - "2024-05-14 18:29:32,738 - acbm.assigning - DEBUG - Activity 97976: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,739 - acbm.assigning - DEBUG - Activity 97976: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,740 - acbm.assigning - DEBUG - Activity 97976: sampling based on floor area\n", - "2024-05-14 18:29:32,741 - acbm.assigning - DEBUG - Activity 97977: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,743 - acbm.assigning - DEBUG - Activity 97977: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,744 - acbm.assigning - DEBUG - Activity 97977: sampling based on floor area\n", - "2024-05-14 18:29:32,745 - acbm.assigning - DEBUG - Activity 97980: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,746 - acbm.assigning - DEBUG - Activity 97980: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,747 - acbm.assigning - DEBUG - Activity 97980: sampling based on floor area\n", - "2024-05-14 18:29:32,748 - acbm.assigning - DEBUG - Activity 97983: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,750 - acbm.assigning - DEBUG - Activity 97983: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,751 - acbm.assigning - DEBUG - Activity 97983: sampling based on floor area\n", - "2024-05-14 18:29:32,752 - acbm.assigning - DEBUG - Activity 97987: Initial number of options for activity = 7\n", - "2024-05-14 18:29:32,754 - acbm.assigning - DEBUG - Activity 97987: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:32,755 - acbm.assigning - DEBUG - Activity 97987: sampling based on floor area\n", - "2024-05-14 18:29:32,756 - acbm.assigning - DEBUG - Activity 97989: Initial number of options for activity = 7\n", - "2024-05-14 18:29:32,759 - acbm.assigning - DEBUG - Activity 97989: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:32,760 - acbm.assigning - DEBUG - Activity 97989: sampling based on floor area\n", - "2024-05-14 18:29:32,761 - acbm.assigning - DEBUG - Activity 97990: Initial number of options for activity = 7\n", - "2024-05-14 18:29:32,763 - acbm.assigning - DEBUG - Activity 97990: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:32,764 - acbm.assigning - DEBUG - Activity 97990: sampling based on floor area\n", - "2024-05-14 18:29:32,766 - acbm.assigning - DEBUG - Activity 97995: Initial number of options for activity = 7\n", - "2024-05-14 18:29:32,768 - acbm.assigning - DEBUG - Activity 97995: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:32,769 - acbm.assigning - DEBUG - Activity 97995: sampling based on floor area\n", - "2024-05-14 18:29:32,771 - acbm.assigning - DEBUG - Activity 97997: Initial number of options for activity = 7\n", - "2024-05-14 18:29:32,773 - acbm.assigning - DEBUG - Activity 97997: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:32,774 - acbm.assigning - DEBUG - Activity 97997: sampling based on floor area\n", - "2024-05-14 18:29:32,775 - acbm.assigning - DEBUG - Activity 98178: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,778 - acbm.assigning - DEBUG - Activity 98178: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,780 - acbm.assigning - DEBUG - Activity 98178: sampling based on floor area\n", - "2024-05-14 18:29:32,781 - acbm.assigning - DEBUG - Activity 98182: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,784 - acbm.assigning - DEBUG - Activity 98182: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,787 - acbm.assigning - DEBUG - Activity 98182: sampling based on floor area\n", - "2024-05-14 18:29:32,788 - acbm.assigning - DEBUG - Activity 98184: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,791 - acbm.assigning - DEBUG - Activity 98184: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,792 - acbm.assigning - DEBUG - Activity 98184: sampling based on floor area\n", - "2024-05-14 18:29:32,793 - acbm.assigning - DEBUG - Activity 98186: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,796 - acbm.assigning - DEBUG - Activity 98186: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,797 - acbm.assigning - DEBUG - Activity 98186: sampling based on floor area\n", - "2024-05-14 18:29:32,798 - acbm.assigning - DEBUG - Activity 98190: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,801 - acbm.assigning - DEBUG - Activity 98190: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,802 - acbm.assigning - DEBUG - Activity 98190: sampling based on floor area\n", - "2024-05-14 18:29:32,803 - acbm.assigning - DEBUG - Activity 98194: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,805 - acbm.assigning - DEBUG - Activity 98194: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,806 - acbm.assigning - DEBUG - Activity 98194: sampling based on floor area\n", - "2024-05-14 18:29:32,807 - acbm.assigning - DEBUG - Activity 98198: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,809 - acbm.assigning - DEBUG - Activity 98198: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,810 - acbm.assigning - DEBUG - Activity 98198: sampling based on floor area\n", - "2024-05-14 18:29:32,812 - acbm.assigning - DEBUG - Activity 98200: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,815 - acbm.assigning - DEBUG - Activity 98200: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,816 - acbm.assigning - DEBUG - Activity 98200: sampling based on floor area\n", - "2024-05-14 18:29:32,817 - acbm.assigning - DEBUG - Activity 98202: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,821 - acbm.assigning - DEBUG - Activity 98202: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,822 - acbm.assigning - DEBUG - Activity 98202: sampling based on floor area\n", - "2024-05-14 18:29:32,823 - acbm.assigning - DEBUG - Activity 98206: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,824 - acbm.assigning - DEBUG - Activity 98206: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,825 - acbm.assigning - DEBUG - Activity 98206: sampling based on floor area\n", - "2024-05-14 18:29:32,826 - acbm.assigning - DEBUG - Activity 98266: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,828 - acbm.assigning - DEBUG - Activity 98266: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,829 - acbm.assigning - DEBUG - Activity 98266: sampling based on floor area\n", - "2024-05-14 18:29:32,830 - acbm.assigning - DEBUG - Activity 98270: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,832 - acbm.assigning - DEBUG - Activity 98270: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,833 - acbm.assigning - DEBUG - Activity 98270: sampling based on floor area\n", - "2024-05-14 18:29:32,835 - acbm.assigning - DEBUG - Activity 98272: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,837 - acbm.assigning - DEBUG - Activity 98272: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,838 - acbm.assigning - DEBUG - Activity 98272: sampling based on floor area\n", - "2024-05-14 18:29:32,840 - acbm.assigning - DEBUG - Activity 98276: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,842 - acbm.assigning - DEBUG - Activity 98276: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,843 - acbm.assigning - DEBUG - Activity 98276: sampling based on floor area\n", - "2024-05-14 18:29:32,844 - acbm.assigning - DEBUG - Activity 98278: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,846 - acbm.assigning - DEBUG - Activity 98278: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,847 - acbm.assigning - DEBUG - Activity 98278: sampling based on floor area\n", - "2024-05-14 18:29:32,849 - acbm.assigning - DEBUG - Activity 98407: Initial number of options for activity = 3\n", - "2024-05-14 18:29:32,851 - acbm.assigning - DEBUG - Activity 98407: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:32,851 - acbm.assigning - DEBUG - Activity 98407: sampling based on floor area\n", - "2024-05-14 18:29:32,853 - acbm.assigning - DEBUG - Activity 98422: Initial number of options for activity = 3\n", - "2024-05-14 18:29:32,855 - acbm.assigning - DEBUG - Activity 98422: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:32,856 - acbm.assigning - DEBUG - Activity 98422: sampling based on floor area\n", - "2024-05-14 18:29:32,857 - acbm.assigning - DEBUG - Activity 98423: Initial number of options for activity = 3\n", - "2024-05-14 18:29:32,858 - acbm.assigning - DEBUG - Activity 98423: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:32,859 - acbm.assigning - DEBUG - Activity 98423: sampling based on floor area\n", - "2024-05-14 18:29:32,860 - acbm.assigning - DEBUG - Activity 98430: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,862 - acbm.assigning - DEBUG - Activity 98430: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,863 - acbm.assigning - DEBUG - Activity 98430: sampling based on floor area\n", - "2024-05-14 18:29:32,864 - acbm.assigning - DEBUG - Activity 98436: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,865 - acbm.assigning - DEBUG - Activity 98436: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,866 - acbm.assigning - DEBUG - Activity 98436: sampling based on floor area\n", - "2024-05-14 18:29:32,867 - acbm.assigning - DEBUG - Activity 98443: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,870 - acbm.assigning - DEBUG - Activity 98443: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,871 - acbm.assigning - DEBUG - Activity 98443: sampling based on floor area\n", - "2024-05-14 18:29:32,872 - acbm.assigning - DEBUG - Activity 98449: Initial number of options for activity = 1\n", - "2024-05-14 18:29:32,887 - acbm.assigning - DEBUG - Activity 98449: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:32,889 - acbm.assigning - DEBUG - Activity 98449: sampling based on floor area\n", - "2024-05-14 18:29:32,891 - acbm.assigning - DEBUG - Activity 98496: Initial number of options for activity = 34\n", - "2024-05-14 18:29:32,897 - acbm.assigning - DEBUG - Activity 98496: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:32,898 - acbm.assigning - DEBUG - Activity 98496: sampling based on floor area\n", - "2024-05-14 18:29:32,900 - acbm.assigning - DEBUG - Activity 98498: Initial number of options for activity = 34\n", - "2024-05-14 18:29:32,903 - acbm.assigning - DEBUG - Activity 98498: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:32,904 - acbm.assigning - DEBUG - Activity 98498: sampling based on floor area\n", - "2024-05-14 18:29:32,905 - acbm.assigning - DEBUG - Activity 98500: Initial number of options for activity = 60\n", - "2024-05-14 18:29:32,908 - acbm.assigning - DEBUG - Activity 98500: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:32,909 - acbm.assigning - DEBUG - Activity 98500: sampling based on floor area\n", - "2024-05-14 18:29:32,910 - acbm.assigning - DEBUG - Activity 98501: Initial number of options for activity = 60\n", - "2024-05-14 18:29:32,912 - acbm.assigning - DEBUG - Activity 98501: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:32,913 - acbm.assigning - DEBUG - Activity 98501: sampling based on floor area\n", - "2024-05-14 18:29:32,914 - acbm.assigning - DEBUG - Activity 98503: Initial number of options for activity = 34\n", - "2024-05-14 18:29:32,916 - acbm.assigning - DEBUG - Activity 98503: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:32,917 - acbm.assigning - DEBUG - Activity 98503: sampling based on floor area\n", - "2024-05-14 18:29:32,918 - acbm.assigning - DEBUG - Activity 98510: Initial number of options for activity = 138\n", - "2024-05-14 18:29:32,920 - acbm.assigning - DEBUG - Activity 98510: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:32,921 - acbm.assigning - DEBUG - Activity 98510: sampling based on floor area\n", - "2024-05-14 18:29:32,922 - acbm.assigning - DEBUG - Activity 98514: Initial number of options for activity = 138\n", - "2024-05-14 18:29:32,924 - acbm.assigning - DEBUG - Activity 98514: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:32,925 - acbm.assigning - DEBUG - Activity 98514: sampling based on floor area\n", - "2024-05-14 18:29:32,926 - acbm.assigning - DEBUG - Activity 98517: Initial number of options for activity = 138\n", - "2024-05-14 18:29:32,929 - acbm.assigning - DEBUG - Activity 98517: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:32,929 - acbm.assigning - DEBUG - Activity 98517: sampling based on floor area\n", - "2024-05-14 18:29:32,931 - acbm.assigning - DEBUG - Activity 98521: Initial number of options for activity = 125\n", - "2024-05-14 18:29:32,935 - acbm.assigning - DEBUG - Activity 98521: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:32,936 - acbm.assigning - DEBUG - Activity 98521: sampling based on floor area\n", - "2024-05-14 18:29:32,938 - acbm.assigning - DEBUG - Activity 98529: Initial number of options for activity = 138\n", - "2024-05-14 18:29:32,941 - acbm.assigning - DEBUG - Activity 98529: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:32,943 - acbm.assigning - DEBUG - Activity 98529: sampling based on floor area\n", - "2024-05-14 18:29:32,945 - acbm.assigning - DEBUG - Activity 98543: Initial number of options for activity = 125\n", - "2024-05-14 18:29:32,949 - acbm.assigning - DEBUG - Activity 98543: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:32,950 - acbm.assigning - DEBUG - Activity 98543: sampling based on floor area\n", - "2024-05-14 18:29:32,952 - acbm.assigning - DEBUG - Activity 98544: Initial number of options for activity = 138\n", - "2024-05-14 18:29:32,955 - acbm.assigning - DEBUG - Activity 98544: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:32,957 - acbm.assigning - DEBUG - Activity 98544: sampling based on floor area\n", - "2024-05-14 18:29:32,959 - acbm.assigning - DEBUG - Activity 98593: Initial number of options for activity = 119\n", - "2024-05-14 18:29:32,963 - acbm.assigning - DEBUG - Activity 98593: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:32,964 - acbm.assigning - DEBUG - Activity 98593: sampling based on floor area\n", - "2024-05-14 18:29:32,965 - acbm.assigning - DEBUG - Activity 98597: Initial number of options for activity = 91\n", - "2024-05-14 18:29:32,969 - acbm.assigning - DEBUG - Activity 98597: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:32,970 - acbm.assigning - DEBUG - Activity 98597: sampling based on floor area\n", - "2024-05-14 18:29:32,972 - acbm.assigning - DEBUG - Activity 98599: Initial number of options for activity = 144\n", - "2024-05-14 18:29:32,975 - acbm.assigning - DEBUG - Activity 98599: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:32,976 - acbm.assigning - DEBUG - Activity 98599: sampling based on floor area\n", - "2024-05-14 18:29:32,978 - acbm.assigning - DEBUG - Activity 98600: Initial number of options for activity = 144\n", - "2024-05-14 18:29:32,981 - acbm.assigning - DEBUG - Activity 98600: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:32,983 - acbm.assigning - DEBUG - Activity 98600: sampling based on floor area\n", - "2024-05-14 18:29:32,985 - acbm.assigning - DEBUG - Activity 98601: Initial number of options for activity = 144\n", - "2024-05-14 18:29:32,988 - acbm.assigning - DEBUG - Activity 98601: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:32,989 - acbm.assigning - DEBUG - Activity 98601: sampling based on floor area\n", - "2024-05-14 18:29:32,991 - acbm.assigning - DEBUG - Activity 98605: Initial number of options for activity = 144\n", - "2024-05-14 18:29:32,995 - acbm.assigning - DEBUG - Activity 98605: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:32,996 - acbm.assigning - DEBUG - Activity 98605: sampling based on floor area\n", - "2024-05-14 18:29:32,998 - acbm.assigning - DEBUG - Activity 98607: Initial number of options for activity = 91\n", - "2024-05-14 18:29:33,002 - acbm.assigning - DEBUG - Activity 98607: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:33,004 - acbm.assigning - DEBUG - Activity 98607: sampling based on floor area\n", - "2024-05-14 18:29:33,006 - acbm.assigning - DEBUG - Activity 98608: Initial number of options for activity = 144\n", - "2024-05-14 18:29:33,011 - acbm.assigning - DEBUG - Activity 98608: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:33,012 - acbm.assigning - DEBUG - Activity 98608: sampling based on floor area\n", - "2024-05-14 18:29:33,014 - acbm.assigning - DEBUG - Activity 98613: Initial number of options for activity = 119\n", - "2024-05-14 18:29:33,017 - acbm.assigning - DEBUG - Activity 98613: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:33,018 - acbm.assigning - DEBUG - Activity 98613: sampling based on floor area\n", - "2024-05-14 18:29:33,021 - acbm.assigning - DEBUG - Activity 98615: Initial number of options for activity = 144\n", - "2024-05-14 18:29:33,024 - acbm.assigning - DEBUG - Activity 98615: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:33,025 - acbm.assigning - DEBUG - Activity 98615: sampling based on floor area\n", - "2024-05-14 18:29:33,027 - acbm.assigning - DEBUG - Activity 98741: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,030 - acbm.assigning - DEBUG - Activity 98741: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,031 - acbm.assigning - DEBUG - Activity 98741: sampling based on floor area\n", - "2024-05-14 18:29:33,033 - acbm.assigning - DEBUG - Activity 98743: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,037 - acbm.assigning - DEBUG - Activity 98743: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,038 - acbm.assigning - DEBUG - Activity 98743: sampling based on floor area\n", - "2024-05-14 18:29:33,040 - acbm.assigning - DEBUG - Activity 98745: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,042 - acbm.assigning - DEBUG - Activity 98745: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,044 - acbm.assigning - DEBUG - Activity 98745: sampling based on floor area\n", - "2024-05-14 18:29:33,045 - acbm.assigning - DEBUG - Activity 98746: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,048 - acbm.assigning - DEBUG - Activity 98746: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,049 - acbm.assigning - DEBUG - Activity 98746: sampling based on floor area\n", - "2024-05-14 18:29:33,051 - acbm.assigning - DEBUG - Activity 98843: Initial number of options for activity = 40\n", - "2024-05-14 18:29:33,054 - acbm.assigning - DEBUG - Activity 98843: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:33,055 - acbm.assigning - DEBUG - Activity 98843: sampling based on floor area\n", - "2024-05-14 18:29:33,057 - acbm.assigning - DEBUG - Activity 98845: Initial number of options for activity = 40\n", - "2024-05-14 18:29:33,059 - acbm.assigning - DEBUG - Activity 98845: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:33,063 - acbm.assigning - DEBUG - Activity 98845: sampling based on floor area\n", - "2024-05-14 18:29:33,065 - acbm.assigning - DEBUG - Activity 98849: Initial number of options for activity = 40\n", - "2024-05-14 18:29:33,070 - acbm.assigning - DEBUG - Activity 98849: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:33,072 - acbm.assigning - DEBUG - Activity 98849: sampling based on floor area\n", - "2024-05-14 18:29:33,073 - acbm.assigning - INFO - Activity 98851: No zones available\n", - "2024-05-14 18:29:33,077 - acbm.assigning - DEBUG - Activity 99196: Initial number of options for activity = 22\n", - "2024-05-14 18:29:33,080 - acbm.assigning - DEBUG - Activity 99196: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:33,080 - acbm.assigning - DEBUG - Activity 99196: sampling based on floor area\n", - "2024-05-14 18:29:33,082 - acbm.assigning - DEBUG - Activity 99198: Initial number of options for activity = 16\n", - "2024-05-14 18:29:33,084 - acbm.assigning - DEBUG - Activity 99198: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:33,085 - acbm.assigning - DEBUG - Activity 99198: sampling based on floor area\n", - "2024-05-14 18:29:33,086 - acbm.assigning - DEBUG - Activity 99200: Initial number of options for activity = 27\n", - "2024-05-14 18:29:33,089 - acbm.assigning - DEBUG - Activity 99200: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:33,090 - acbm.assigning - DEBUG - Activity 99200: sampling based on floor area\n", - "2024-05-14 18:29:33,091 - acbm.assigning - DEBUG - Activity 99202: Initial number of options for activity = 39\n", - "2024-05-14 18:29:33,094 - acbm.assigning - DEBUG - Activity 99202: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:33,095 - acbm.assigning - DEBUG - Activity 99202: sampling based on floor area\n", - "2024-05-14 18:29:33,096 - acbm.assigning - DEBUG - Activity 99204: Initial number of options for activity = 95\n", - "2024-05-14 18:29:33,098 - acbm.assigning - DEBUG - Activity 99204: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:33,099 - acbm.assigning - DEBUG - Activity 99204: sampling based on floor area\n", - "2024-05-14 18:29:33,100 - acbm.assigning - INFO - Activity 99277: No zones available\n", - "2024-05-14 18:29:33,101 - acbm.assigning - INFO - Activity 99279: No zones available\n", - "2024-05-14 18:29:33,101 - acbm.assigning - INFO - Activity 99384: No zones available\n", - "2024-05-14 18:29:33,101 - acbm.assigning - DEBUG - Activity 99385: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,103 - acbm.assigning - DEBUG - Activity 99385: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,104 - acbm.assigning - DEBUG - Activity 99385: sampling based on floor area\n", - "2024-05-14 18:29:33,105 - acbm.assigning - DEBUG - Activity 99386: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,107 - acbm.assigning - DEBUG - Activity 99386: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,108 - acbm.assigning - DEBUG - Activity 99386: sampling based on floor area\n", - "2024-05-14 18:29:33,110 - acbm.assigning - DEBUG - Activity 99593: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,112 - acbm.assigning - DEBUG - Activity 99593: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,113 - acbm.assigning - DEBUG - Activity 99593: sampling based on floor area\n", - "2024-05-14 18:29:33,114 - acbm.assigning - DEBUG - Activity 99725: Initial number of options for activity = 126\n", - "2024-05-14 18:29:33,116 - acbm.assigning - DEBUG - Activity 99725: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:33,117 - acbm.assigning - DEBUG - Activity 99725: sampling based on floor area\n", - "2024-05-14 18:29:33,118 - acbm.assigning - DEBUG - Activity 99729: Initial number of options for activity = 126\n", - "2024-05-14 18:29:33,120 - acbm.assigning - DEBUG - Activity 99729: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:33,121 - acbm.assigning - DEBUG - Activity 99729: sampling based on floor area\n", - "2024-05-14 18:29:33,122 - acbm.assigning - DEBUG - Activity 99730: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,124 - acbm.assigning - DEBUG - Activity 99730: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,125 - acbm.assigning - DEBUG - Activity 99730: sampling based on floor area\n", - "2024-05-14 18:29:33,126 - acbm.assigning - DEBUG - Activity 99731: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,128 - acbm.assigning - DEBUG - Activity 99731: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,128 - acbm.assigning - DEBUG - Activity 99731: sampling based on floor area\n", - "2024-05-14 18:29:33,130 - acbm.assigning - DEBUG - Activity 99808: Initial number of options for activity = 61\n", - "2024-05-14 18:29:33,132 - acbm.assigning - DEBUG - Activity 99808: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:33,133 - acbm.assigning - DEBUG - Activity 99808: sampling based on floor area\n", - "2024-05-14 18:29:33,135 - acbm.assigning - DEBUG - Activity 99811: Initial number of options for activity = 61\n", - "2024-05-14 18:29:33,136 - acbm.assigning - DEBUG - Activity 99811: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:33,137 - acbm.assigning - DEBUG - Activity 99811: sampling based on floor area\n", - "2024-05-14 18:29:33,138 - acbm.assigning - DEBUG - Activity 99812: Initial number of options for activity = 61\n", - "2024-05-14 18:29:33,141 - acbm.assigning - DEBUG - Activity 99812: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:33,142 - acbm.assigning - DEBUG - Activity 99812: sampling based on floor area\n", - "2024-05-14 18:29:33,144 - acbm.assigning - DEBUG - Activity 99814: Initial number of options for activity = 61\n", - "2024-05-14 18:29:33,146 - acbm.assigning - DEBUG - Activity 99814: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:33,146 - acbm.assigning - DEBUG - Activity 99814: sampling based on floor area\n", - "2024-05-14 18:29:33,147 - acbm.assigning - DEBUG - Activity 99817: Initial number of options for activity = 61\n", - "2024-05-14 18:29:33,149 - acbm.assigning - DEBUG - Activity 99817: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:33,151 - acbm.assigning - DEBUG - Activity 99817: sampling based on floor area\n", - "2024-05-14 18:29:33,152 - acbm.assigning - DEBUG - Activity 99898: Initial number of options for activity = 43\n", - "2024-05-14 18:29:33,154 - acbm.assigning - DEBUG - Activity 99898: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:33,154 - acbm.assigning - DEBUG - Activity 99898: sampling based on floor area\n", - "2024-05-14 18:29:33,155 - acbm.assigning - DEBUG - Activity 99900: Initial number of options for activity = 43\n", - "2024-05-14 18:29:33,157 - acbm.assigning - DEBUG - Activity 99900: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:33,158 - acbm.assigning - DEBUG - Activity 99900: sampling based on floor area\n", - "2024-05-14 18:29:33,160 - acbm.assigning - DEBUG - Activity 99996: Initial number of options for activity = 21\n", - "2024-05-14 18:29:33,163 - acbm.assigning - DEBUG - Activity 99996: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:33,164 - acbm.assigning - DEBUG - Activity 99996: sampling based on floor area\n", - "2024-05-14 18:29:33,177 - acbm.assigning - DEBUG - Activity 100003: Initial number of options for activity = 21\n", - "2024-05-14 18:29:33,182 - acbm.assigning - DEBUG - Activity 100003: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:33,183 - acbm.assigning - DEBUG - Activity 100003: sampling based on floor area\n", - "2024-05-14 18:29:33,185 - acbm.assigning - DEBUG - Activity 100007: Initial number of options for activity = 21\n", - "2024-05-14 18:29:33,187 - acbm.assigning - DEBUG - Activity 100007: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:33,188 - acbm.assigning - DEBUG - Activity 100007: sampling based on floor area\n", - "2024-05-14 18:29:33,189 - acbm.assigning - DEBUG - Activity 100008: Initial number of options for activity = 6\n", - "2024-05-14 18:29:33,190 - acbm.assigning - DEBUG - Activity 100008: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:33,191 - acbm.assigning - DEBUG - Activity 100008: sampling based on floor area\n", - "2024-05-14 18:29:33,192 - acbm.assigning - DEBUG - Activity 100009: Initial number of options for activity = 6\n", - "2024-05-14 18:29:33,195 - acbm.assigning - DEBUG - Activity 100009: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:33,197 - acbm.assigning - DEBUG - Activity 100009: sampling based on floor area\n", - "2024-05-14 18:29:33,199 - acbm.assigning - DEBUG - Activity 100164: Initial number of options for activity = 6\n", - "2024-05-14 18:29:33,202 - acbm.assigning - DEBUG - Activity 100164: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:33,203 - acbm.assigning - DEBUG - Activity 100164: sampling based on floor area\n", - "2024-05-14 18:29:33,205 - acbm.assigning - DEBUG - Activity 100166: Initial number of options for activity = 6\n", - "2024-05-14 18:29:33,207 - acbm.assigning - DEBUG - Activity 100166: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:33,208 - acbm.assigning - DEBUG - Activity 100166: sampling based on floor area\n", - "2024-05-14 18:29:33,209 - acbm.assigning - DEBUG - Activity 100247: Initial number of options for activity = 131\n", - "2024-05-14 18:29:33,210 - acbm.assigning - DEBUG - Activity 100247: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:33,211 - acbm.assigning - DEBUG - Activity 100247: sampling based on floor area\n", - "2024-05-14 18:29:33,213 - acbm.assigning - DEBUG - Activity 100251: Initial number of options for activity = 131\n", - "2024-05-14 18:29:33,215 - acbm.assigning - DEBUG - Activity 100251: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:33,216 - acbm.assigning - DEBUG - Activity 100251: sampling based on floor area\n", - "2024-05-14 18:29:33,218 - acbm.assigning - DEBUG - Activity 100253: Initial number of options for activity = 48\n", - "2024-05-14 18:29:33,220 - acbm.assigning - DEBUG - Activity 100253: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:33,221 - acbm.assigning - DEBUG - Activity 100253: sampling based on floor area\n", - "2024-05-14 18:29:33,223 - acbm.assigning - DEBUG - Activity 100258: Initial number of options for activity = 131\n", - "2024-05-14 18:29:33,226 - acbm.assigning - DEBUG - Activity 100258: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:33,227 - acbm.assigning - DEBUG - Activity 100258: sampling based on floor area\n", - "2024-05-14 18:29:33,228 - acbm.assigning - DEBUG - Activity 100259: Initial number of options for activity = 131\n", - "2024-05-14 18:29:33,231 - acbm.assigning - DEBUG - Activity 100259: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:33,232 - acbm.assigning - DEBUG - Activity 100259: sampling based on floor area\n", - "2024-05-14 18:29:33,234 - acbm.assigning - DEBUG - Activity 100384: Initial number of options for activity = 41\n", - "2024-05-14 18:29:33,237 - acbm.assigning - DEBUG - Activity 100384: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:33,237 - acbm.assigning - DEBUG - Activity 100384: sampling based on floor area\n", - "2024-05-14 18:29:33,239 - acbm.assigning - DEBUG - Activity 100386: Initial number of options for activity = 41\n", - "2024-05-14 18:29:33,241 - acbm.assigning - DEBUG - Activity 100386: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:33,241 - acbm.assigning - DEBUG - Activity 100386: sampling based on floor area\n", - "2024-05-14 18:29:33,242 - acbm.assigning - DEBUG - Activity 100388: Initial number of options for activity = 41\n", - "2024-05-14 18:29:33,244 - acbm.assigning - DEBUG - Activity 100388: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:33,255 - acbm.assigning - DEBUG - Activity 100388: sampling based on floor area\n", - "2024-05-14 18:29:33,257 - acbm.assigning - DEBUG - Activity 100390: Initial number of options for activity = 41\n", - "2024-05-14 18:29:33,261 - acbm.assigning - DEBUG - Activity 100390: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:33,263 - acbm.assigning - DEBUG - Activity 100390: sampling based on floor area\n", - "2024-05-14 18:29:33,265 - acbm.assigning - DEBUG - Activity 100433: Initial number of options for activity = 38\n", - "2024-05-14 18:29:33,269 - acbm.assigning - DEBUG - Activity 100433: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:33,270 - acbm.assigning - DEBUG - Activity 100433: sampling based on floor area\n", - "2024-05-14 18:29:33,272 - acbm.assigning - DEBUG - Activity 100435: Initial number of options for activity = 38\n", - "2024-05-14 18:29:33,274 - acbm.assigning - DEBUG - Activity 100435: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:33,275 - acbm.assigning - DEBUG - Activity 100435: sampling based on floor area\n", - "2024-05-14 18:29:33,276 - acbm.assigning - DEBUG - Activity 100437: Initial number of options for activity = 38\n", - "2024-05-14 18:29:33,279 - acbm.assigning - DEBUG - Activity 100437: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:33,280 - acbm.assigning - DEBUG - Activity 100437: sampling based on floor area\n", - "2024-05-14 18:29:33,282 - acbm.assigning - DEBUG - Activity 100439: Initial number of options for activity = 38\n", - "2024-05-14 18:29:33,285 - acbm.assigning - DEBUG - Activity 100439: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:33,286 - acbm.assigning - DEBUG - Activity 100439: sampling based on floor area\n", - "2024-05-14 18:29:33,287 - acbm.assigning - DEBUG - Activity 101104: Initial number of options for activity = 124\n", - "2024-05-14 18:29:33,290 - acbm.assigning - DEBUG - Activity 101104: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:33,291 - acbm.assigning - DEBUG - Activity 101104: sampling based on floor area\n", - "2024-05-14 18:29:33,292 - acbm.assigning - DEBUG - Activity 101106: Initial number of options for activity = 124\n", - "2024-05-14 18:29:33,294 - acbm.assigning - DEBUG - Activity 101106: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:33,295 - acbm.assigning - DEBUG - Activity 101106: sampling based on floor area\n", - "2024-05-14 18:29:33,296 - acbm.assigning - DEBUG - Activity 101108: Initial number of options for activity = 124\n", - "2024-05-14 18:29:33,298 - acbm.assigning - DEBUG - Activity 101108: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:33,299 - acbm.assigning - DEBUG - Activity 101108: sampling based on floor area\n", - "2024-05-14 18:29:33,300 - acbm.assigning - DEBUG - Activity 101110: Initial number of options for activity = 124\n", - "2024-05-14 18:29:33,303 - acbm.assigning - DEBUG - Activity 101110: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:33,304 - acbm.assigning - DEBUG - Activity 101110: sampling based on floor area\n", - "2024-05-14 18:29:33,305 - acbm.assigning - DEBUG - Activity 101198: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,309 - acbm.assigning - DEBUG - Activity 101198: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,310 - acbm.assigning - DEBUG - Activity 101198: sampling based on floor area\n", - "2024-05-14 18:29:33,311 - acbm.assigning - DEBUG - Activity 101200: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,314 - acbm.assigning - DEBUG - Activity 101200: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,315 - acbm.assigning - DEBUG - Activity 101200: sampling based on floor area\n", - "2024-05-14 18:29:33,317 - acbm.assigning - DEBUG - Activity 101202: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,320 - acbm.assigning - DEBUG - Activity 101202: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,321 - acbm.assigning - DEBUG - Activity 101202: sampling based on floor area\n", - "2024-05-14 18:29:33,322 - acbm.assigning - DEBUG - Activity 101204: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,324 - acbm.assigning - DEBUG - Activity 101204: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,324 - acbm.assigning - DEBUG - Activity 101204: sampling based on floor area\n", - "2024-05-14 18:29:33,325 - acbm.assigning - DEBUG - Activity 101208: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,327 - acbm.assigning - DEBUG - Activity 101208: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,328 - acbm.assigning - DEBUG - Activity 101208: sampling based on floor area\n", - "2024-05-14 18:29:33,330 - acbm.assigning - DEBUG - Activity 101351: Initial number of options for activity = 2\n", - "2024-05-14 18:29:33,332 - acbm.assigning - DEBUG - Activity 101351: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:33,332 - acbm.assigning - DEBUG - Activity 101351: sampling based on floor area\n", - "2024-05-14 18:29:33,334 - acbm.assigning - DEBUG - Activity 101445: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,335 - acbm.assigning - DEBUG - Activity 101445: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,336 - acbm.assigning - DEBUG - Activity 101445: sampling based on floor area\n", - "2024-05-14 18:29:33,337 - acbm.assigning - DEBUG - Activity 101447: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,338 - acbm.assigning - DEBUG - Activity 101447: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,339 - acbm.assigning - DEBUG - Activity 101447: sampling based on floor area\n", - "2024-05-14 18:29:33,340 - acbm.assigning - DEBUG - Activity 101449: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,341 - acbm.assigning - DEBUG - Activity 101449: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,342 - acbm.assigning - DEBUG - Activity 101449: sampling based on floor area\n", - "2024-05-14 18:29:33,343 - acbm.assigning - DEBUG - Activity 101451: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,345 - acbm.assigning - DEBUG - Activity 101451: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,346 - acbm.assigning - DEBUG - Activity 101451: sampling based on floor area\n", - "2024-05-14 18:29:33,348 - acbm.assigning - DEBUG - Activity 101455: Initial number of options for activity = 115\n", - "2024-05-14 18:29:33,350 - acbm.assigning - DEBUG - Activity 101455: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:33,350 - acbm.assigning - DEBUG - Activity 101455: sampling based on floor area\n", - "2024-05-14 18:29:33,351 - acbm.assigning - DEBUG - Activity 101491: Initial number of options for activity = 124\n", - "2024-05-14 18:29:33,353 - acbm.assigning - DEBUG - Activity 101491: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:33,354 - acbm.assigning - DEBUG - Activity 101491: sampling based on floor area\n", - "2024-05-14 18:29:33,355 - acbm.assigning - DEBUG - Activity 101492: Initial number of options for activity = 157\n", - "2024-05-14 18:29:33,357 - acbm.assigning - DEBUG - Activity 101492: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:33,358 - acbm.assigning - DEBUG - Activity 101492: sampling based on floor area\n", - "2024-05-14 18:29:33,365 - acbm.assigning - DEBUG - Activity 101493: Initial number of options for activity = 124\n", - "2024-05-14 18:29:33,372 - acbm.assigning - DEBUG - Activity 101493: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:33,373 - acbm.assigning - DEBUG - Activity 101493: sampling based on floor area\n", - "2024-05-14 18:29:33,374 - acbm.assigning - DEBUG - Activity 101496: Initial number of options for activity = 124\n", - "2024-05-14 18:29:33,378 - acbm.assigning - DEBUG - Activity 101496: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:33,379 - acbm.assigning - DEBUG - Activity 101496: sampling based on floor area\n", - "2024-05-14 18:29:33,381 - acbm.assigning - DEBUG - Activity 101501: Initial number of options for activity = 55\n", - "2024-05-14 18:29:33,384 - acbm.assigning - DEBUG - Activity 101501: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:33,385 - acbm.assigning - DEBUG - Activity 101501: sampling based on floor area\n", - "2024-05-14 18:29:33,387 - acbm.assigning - INFO - Activity 101713: No zones available\n", - "2024-05-14 18:29:33,388 - acbm.assigning - INFO - Activity 101715: No zones available\n", - "2024-05-14 18:29:33,388 - acbm.assigning - INFO - Activity 101750: No zones available\n", - "2024-05-14 18:29:33,389 - acbm.assigning - INFO - Activity 101752: No zones available\n", - "2024-05-14 18:29:33,390 - acbm.assigning - INFO - Activity 101754: No zones available\n", - "2024-05-14 18:29:33,391 - acbm.assigning - INFO - Activity 101756: No zones available\n", - "2024-05-14 18:29:33,392 - acbm.assigning - DEBUG - Activity 101911: Initial number of options for activity = 106\n", - "2024-05-14 18:29:33,395 - acbm.assigning - DEBUG - Activity 101911: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:33,396 - acbm.assigning - DEBUG - Activity 101911: sampling based on floor area\n", - "2024-05-14 18:29:33,398 - acbm.assigning - DEBUG - Activity 101920: Initial number of options for activity = 106\n", - "2024-05-14 18:29:33,401 - acbm.assigning - DEBUG - Activity 101920: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:33,402 - acbm.assigning - DEBUG - Activity 101920: sampling based on floor area\n", - "2024-05-14 18:29:33,404 - acbm.assigning - DEBUG - Activity 101925: Initial number of options for activity = 106\n", - "2024-05-14 18:29:33,407 - acbm.assigning - DEBUG - Activity 101925: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:33,408 - acbm.assigning - DEBUG - Activity 101925: sampling based on floor area\n", - "2024-05-14 18:29:33,410 - acbm.assigning - DEBUG - Activity 101927: Initial number of options for activity = 106\n", - "2024-05-14 18:29:33,413 - acbm.assigning - DEBUG - Activity 101927: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:33,414 - acbm.assigning - DEBUG - Activity 101927: sampling based on floor area\n", - "2024-05-14 18:29:33,416 - acbm.assigning - DEBUG - Activity 101928: Initial number of options for activity = 156\n", - "2024-05-14 18:29:33,419 - acbm.assigning - DEBUG - Activity 101928: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:33,419 - acbm.assigning - DEBUG - Activity 101928: sampling based on floor area\n", - "2024-05-14 18:29:33,421 - acbm.assigning - DEBUG - Activity 102157: Initial number of options for activity = 21\n", - "2024-05-14 18:29:33,427 - acbm.assigning - DEBUG - Activity 102157: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:33,428 - acbm.assigning - DEBUG - Activity 102157: sampling based on floor area\n", - "2024-05-14 18:29:33,430 - acbm.assigning - DEBUG - Activity 102159: Initial number of options for activity = 21\n", - "2024-05-14 18:29:33,434 - acbm.assigning - DEBUG - Activity 102159: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:33,435 - acbm.assigning - DEBUG - Activity 102159: sampling based on floor area\n", - "2024-05-14 18:29:33,437 - acbm.assigning - DEBUG - Activity 102163: Initial number of options for activity = 13\n", - "2024-05-14 18:29:33,440 - acbm.assigning - DEBUG - Activity 102163: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:33,442 - acbm.assigning - DEBUG - Activity 102163: sampling based on floor area\n", - "2024-05-14 18:29:33,444 - acbm.assigning - DEBUG - Activity 102226: Initial number of options for activity = 104\n", - "2024-05-14 18:29:33,447 - acbm.assigning - DEBUG - Activity 102226: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:33,449 - acbm.assigning - DEBUG - Activity 102226: sampling based on floor area\n", - "2024-05-14 18:29:33,450 - acbm.assigning - DEBUG - Activity 102228: Initial number of options for activity = 104\n", - "2024-05-14 18:29:33,454 - acbm.assigning - DEBUG - Activity 102228: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:33,455 - acbm.assigning - DEBUG - Activity 102228: sampling based on floor area\n", - "2024-05-14 18:29:33,457 - acbm.assigning - DEBUG - Activity 102230: Initial number of options for activity = 104\n", - "2024-05-14 18:29:33,460 - acbm.assigning - DEBUG - Activity 102230: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:33,461 - acbm.assigning - DEBUG - Activity 102230: sampling based on floor area\n", - "2024-05-14 18:29:33,463 - acbm.assigning - DEBUG - Activity 102232: Initial number of options for activity = 104\n", - "2024-05-14 18:29:33,466 - acbm.assigning - DEBUG - Activity 102232: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:33,480 - acbm.assigning - DEBUG - Activity 102232: sampling based on floor area\n", - "2024-05-14 18:29:33,482 - acbm.assigning - DEBUG - Activity 102337: Initial number of options for activity = 13\n", - "2024-05-14 18:29:33,485 - acbm.assigning - DEBUG - Activity 102337: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:33,487 - acbm.assigning - DEBUG - Activity 102337: sampling based on floor area\n", - "2024-05-14 18:29:33,488 - acbm.assigning - DEBUG - Activity 102339: Initial number of options for activity = 13\n", - "2024-05-14 18:29:33,491 - acbm.assigning - DEBUG - Activity 102339: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:33,492 - acbm.assigning - DEBUG - Activity 102339: sampling based on floor area\n", - "2024-05-14 18:29:33,493 - acbm.assigning - DEBUG - Activity 102343: Initial number of options for activity = 13\n", - "2024-05-14 18:29:33,495 - acbm.assigning - DEBUG - Activity 102343: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:33,496 - acbm.assigning - DEBUG - Activity 102343: sampling based on floor area\n", - "2024-05-14 18:29:33,497 - acbm.assigning - DEBUG - Activity 102345: Initial number of options for activity = 13\n", - "2024-05-14 18:29:33,499 - acbm.assigning - DEBUG - Activity 102345: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:33,500 - acbm.assigning - DEBUG - Activity 102345: sampling based on floor area\n", - "2024-05-14 18:29:33,501 - acbm.assigning - DEBUG - Activity 102457: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,503 - acbm.assigning - DEBUG - Activity 102457: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,503 - acbm.assigning - DEBUG - Activity 102457: sampling based on floor area\n", - "2024-05-14 18:29:33,504 - acbm.assigning - DEBUG - Activity 102460: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,506 - acbm.assigning - DEBUG - Activity 102460: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,506 - acbm.assigning - DEBUG - Activity 102460: sampling based on floor area\n", - "2024-05-14 18:29:33,508 - acbm.assigning - DEBUG - Activity 102462: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,511 - acbm.assigning - DEBUG - Activity 102462: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,512 - acbm.assigning - DEBUG - Activity 102462: sampling based on floor area\n", - "2024-05-14 18:29:33,514 - acbm.assigning - DEBUG - Activity 102464: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,518 - acbm.assigning - DEBUG - Activity 102464: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,519 - acbm.assigning - DEBUG - Activity 102464: sampling based on floor area\n", - "2024-05-14 18:29:33,521 - acbm.assigning - INFO - Activity 102470: No zones available\n", - "2024-05-14 18:29:33,522 - acbm.assigning - INFO - Activity 102472: No zones available\n", - "2024-05-14 18:29:33,523 - acbm.assigning - INFO - Activity 102478: No zones available\n", - "2024-05-14 18:29:33,524 - acbm.assigning - DEBUG - Activity 102588: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,527 - acbm.assigning - DEBUG - Activity 102588: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,529 - acbm.assigning - DEBUG - Activity 102588: sampling based on floor area\n", - "2024-05-14 18:29:33,531 - acbm.assigning - DEBUG - Activity 102590: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,537 - acbm.assigning - DEBUG - Activity 102590: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,538 - acbm.assigning - DEBUG - Activity 102590: sampling based on floor area\n", - "2024-05-14 18:29:33,540 - acbm.assigning - DEBUG - Activity 102592: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,542 - acbm.assigning - DEBUG - Activity 102592: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,543 - acbm.assigning - DEBUG - Activity 102592: sampling based on floor area\n", - "2024-05-14 18:29:33,547 - acbm.assigning - DEBUG - Activity 102594: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,549 - acbm.assigning - DEBUG - Activity 102594: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,550 - acbm.assigning - DEBUG - Activity 102594: sampling based on floor area\n", - "2024-05-14 18:29:33,552 - acbm.assigning - DEBUG - Activity 102725: Initial number of options for activity = 112\n", - "2024-05-14 18:29:33,554 - acbm.assigning - DEBUG - Activity 102725: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:33,554 - acbm.assigning - DEBUG - Activity 102725: sampling based on floor area\n", - "2024-05-14 18:29:33,555 - acbm.assigning - DEBUG - Activity 102727: Initial number of options for activity = 45\n", - "2024-05-14 18:29:33,558 - acbm.assigning - DEBUG - Activity 102727: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:33,558 - acbm.assigning - DEBUG - Activity 102727: sampling based on floor area\n", - "2024-05-14 18:29:33,560 - acbm.assigning - DEBUG - Activity 102728: Initial number of options for activity = 112\n", - "2024-05-14 18:29:33,562 - acbm.assigning - DEBUG - Activity 102728: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:33,563 - acbm.assigning - DEBUG - Activity 102728: sampling based on floor area\n", - "2024-05-14 18:29:33,564 - acbm.assigning - DEBUG - Activity 102733: Initial number of options for activity = 164\n", - "2024-05-14 18:29:33,567 - acbm.assigning - DEBUG - Activity 102733: Number of options after filtering by education type: 164\n", - "2024-05-14 18:29:33,567 - acbm.assigning - DEBUG - Activity 102733: sampling based on floor area\n", - "2024-05-14 18:29:33,568 - acbm.assigning - DEBUG - Activity 102735: Initial number of options for activity = 112\n", - "2024-05-14 18:29:33,570 - acbm.assigning - DEBUG - Activity 102735: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:33,570 - acbm.assigning - DEBUG - Activity 102735: sampling based on floor area\n", - "2024-05-14 18:29:33,571 - acbm.assigning - DEBUG - Activity 102743: Initial number of options for activity = 47\n", - "2024-05-14 18:29:33,573 - acbm.assigning - DEBUG - Activity 102743: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:33,573 - acbm.assigning - DEBUG - Activity 102743: sampling based on floor area\n", - "2024-05-14 18:29:33,574 - acbm.assigning - DEBUG - Activity 102747: Initial number of options for activity = 25\n", - "2024-05-14 18:29:33,576 - acbm.assigning - DEBUG - Activity 102747: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:33,577 - acbm.assigning - DEBUG - Activity 102747: sampling based on floor area\n", - "2024-05-14 18:29:33,578 - acbm.assigning - DEBUG - Activity 102749: Initial number of options for activity = 44\n", - "2024-05-14 18:29:33,581 - acbm.assigning - DEBUG - Activity 102749: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:33,582 - acbm.assigning - DEBUG - Activity 102749: sampling based on floor area\n", - "2024-05-14 18:29:33,583 - acbm.assigning - DEBUG - Activity 102750: Initial number of options for activity = 44\n", - "2024-05-14 18:29:33,585 - acbm.assigning - DEBUG - Activity 102750: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:33,586 - acbm.assigning - DEBUG - Activity 102750: sampling based on floor area\n", - "2024-05-14 18:29:33,587 - acbm.assigning - DEBUG - Activity 102751: Initial number of options for activity = 44\n", - "2024-05-14 18:29:33,589 - acbm.assigning - DEBUG - Activity 102751: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:33,590 - acbm.assigning - DEBUG - Activity 102751: sampling based on floor area\n", - "2024-05-14 18:29:33,591 - acbm.assigning - DEBUG - Activity 102822: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,592 - acbm.assigning - DEBUG - Activity 102822: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,593 - acbm.assigning - DEBUG - Activity 102822: sampling based on floor area\n", - "2024-05-14 18:29:33,594 - acbm.assigning - DEBUG - Activity 102826: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,596 - acbm.assigning - DEBUG - Activity 102826: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,597 - acbm.assigning - DEBUG - Activity 102826: sampling based on floor area\n", - "2024-05-14 18:29:33,598 - acbm.assigning - DEBUG - Activity 102827: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,600 - acbm.assigning - DEBUG - Activity 102827: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,601 - acbm.assigning - DEBUG - Activity 102827: sampling based on floor area\n", - "2024-05-14 18:29:33,603 - acbm.assigning - DEBUG - Activity 102828: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,606 - acbm.assigning - DEBUG - Activity 102828: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,607 - acbm.assigning - DEBUG - Activity 102828: sampling based on floor area\n", - "2024-05-14 18:29:33,609 - acbm.assigning - DEBUG - Activity 102829: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,611 - acbm.assigning - DEBUG - Activity 102829: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,612 - acbm.assigning - DEBUG - Activity 102829: sampling based on floor area\n", - "2024-05-14 18:29:33,616 - acbm.assigning - DEBUG - Activity 102966: Initial number of options for activity = 44\n", - "2024-05-14 18:29:33,620 - acbm.assigning - DEBUG - Activity 102966: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:33,621 - acbm.assigning - DEBUG - Activity 102966: sampling based on floor area\n", - "2024-05-14 18:29:33,622 - acbm.assigning - DEBUG - Activity 102968: Initial number of options for activity = 47\n", - "2024-05-14 18:29:33,625 - acbm.assigning - DEBUG - Activity 102968: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:33,626 - acbm.assigning - DEBUG - Activity 102968: sampling based on floor area\n", - "2024-05-14 18:29:33,627 - acbm.assigning - DEBUG - Activity 103038: Initial number of options for activity = 116\n", - "2024-05-14 18:29:33,629 - acbm.assigning - DEBUG - Activity 103038: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:33,631 - acbm.assigning - DEBUG - Activity 103038: sampling based on floor area\n", - "2024-05-14 18:29:33,632 - acbm.assigning - DEBUG - Activity 103047: Initial number of options for activity = 116\n", - "2024-05-14 18:29:33,635 - acbm.assigning - DEBUG - Activity 103047: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:33,635 - acbm.assigning - DEBUG - Activity 103047: sampling based on floor area\n", - "2024-05-14 18:29:33,637 - acbm.assigning - DEBUG - Activity 103052: Initial number of options for activity = 116\n", - "2024-05-14 18:29:33,639 - acbm.assigning - DEBUG - Activity 103052: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:33,639 - acbm.assigning - DEBUG - Activity 103052: sampling based on floor area\n", - "2024-05-14 18:29:33,640 - acbm.assigning - DEBUG - Activity 103054: Initial number of options for activity = 116\n", - "2024-05-14 18:29:33,642 - acbm.assigning - DEBUG - Activity 103054: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:33,642 - acbm.assigning - DEBUG - Activity 103054: sampling based on floor area\n", - "2024-05-14 18:29:33,643 - acbm.assigning - DEBUG - Activity 103055: Initial number of options for activity = 160\n", - "2024-05-14 18:29:33,645 - acbm.assigning - DEBUG - Activity 103055: Number of options after filtering by education type: 160\n", - "2024-05-14 18:29:33,646 - acbm.assigning - DEBUG - Activity 103055: sampling based on floor area\n", - "2024-05-14 18:29:33,648 - acbm.assigning - INFO - Activity 103142: No zones available\n", - "2024-05-14 18:29:33,649 - acbm.assigning - INFO - Activity 103144: No zones available\n", - "2024-05-14 18:29:33,649 - acbm.assigning - INFO - Activity 103146: No zones available\n", - "2024-05-14 18:29:33,650 - acbm.assigning - INFO - Activity 103148: No zones available\n", - "2024-05-14 18:29:33,650 - acbm.assigning - INFO - Activity 103150: No zones available\n", - "2024-05-14 18:29:33,651 - acbm.assigning - DEBUG - Activity 103233: Initial number of options for activity = 2\n", - "2024-05-14 18:29:33,652 - acbm.assigning - DEBUG - Activity 103233: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:33,653 - acbm.assigning - DEBUG - Activity 103233: sampling based on floor area\n", - "2024-05-14 18:29:33,654 - acbm.assigning - DEBUG - Activity 103277: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,656 - acbm.assigning - DEBUG - Activity 103277: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,656 - acbm.assigning - DEBUG - Activity 103277: sampling based on floor area\n", - "2024-05-14 18:29:33,657 - acbm.assigning - DEBUG - Activity 103306: Initial number of options for activity = 34\n", - "2024-05-14 18:29:33,659 - acbm.assigning - DEBUG - Activity 103306: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:33,660 - acbm.assigning - DEBUG - Activity 103306: sampling based on floor area\n", - "2024-05-14 18:29:33,661 - acbm.assigning - DEBUG - Activity 103308: Initial number of options for activity = 60\n", - "2024-05-14 18:29:33,663 - acbm.assigning - DEBUG - Activity 103308: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:33,663 - acbm.assigning - DEBUG - Activity 103308: sampling based on floor area\n", - "2024-05-14 18:29:33,665 - acbm.assigning - DEBUG - Activity 103310: Initial number of options for activity = 127\n", - "2024-05-14 18:29:33,667 - acbm.assigning - DEBUG - Activity 103310: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:33,668 - acbm.assigning - DEBUG - Activity 103310: sampling based on floor area\n", - "2024-05-14 18:29:33,670 - acbm.assigning - DEBUG - Activity 103316: Initial number of options for activity = 51\n", - "2024-05-14 18:29:33,672 - acbm.assigning - DEBUG - Activity 103316: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:33,673 - acbm.assigning - DEBUG - Activity 103316: sampling based on floor area\n", - "2024-05-14 18:29:33,674 - acbm.assigning - DEBUG - Activity 103318: Initial number of options for activity = 8\n", - "2024-05-14 18:29:33,678 - acbm.assigning - DEBUG - Activity 103318: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:33,679 - acbm.assigning - DEBUG - Activity 103318: sampling based on floor area\n", - "2024-05-14 18:29:33,680 - acbm.assigning - DEBUG - Activity 103320: Initial number of options for activity = 8\n", - "2024-05-14 18:29:33,683 - acbm.assigning - DEBUG - Activity 103320: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:33,685 - acbm.assigning - DEBUG - Activity 103320: sampling based on floor area\n", - "2024-05-14 18:29:33,686 - acbm.assigning - DEBUG - Activity 103688: Initial number of options for activity = 95\n", - "2024-05-14 18:29:33,691 - acbm.assigning - DEBUG - Activity 103688: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:33,692 - acbm.assigning - DEBUG - Activity 103688: sampling based on floor area\n", - "2024-05-14 18:29:33,694 - acbm.assigning - DEBUG - Activity 103690: Initial number of options for activity = 95\n", - "2024-05-14 18:29:33,697 - acbm.assigning - DEBUG - Activity 103690: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:33,698 - acbm.assigning - DEBUG - Activity 103690: sampling based on floor area\n", - "2024-05-14 18:29:33,700 - acbm.assigning - DEBUG - Activity 103692: Initial number of options for activity = 95\n", - "2024-05-14 18:29:33,703 - acbm.assigning - DEBUG - Activity 103692: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:33,704 - acbm.assigning - DEBUG - Activity 103692: sampling based on floor area\n", - "2024-05-14 18:29:33,705 - acbm.assigning - DEBUG - Activity 103694: Initial number of options for activity = 95\n", - "2024-05-14 18:29:33,707 - acbm.assigning - DEBUG - Activity 103694: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:33,708 - acbm.assigning - DEBUG - Activity 103694: sampling based on floor area\n", - "2024-05-14 18:29:33,709 - acbm.assigning - DEBUG - Activity 103786: Initial number of options for activity = 7\n", - "2024-05-14 18:29:33,711 - acbm.assigning - DEBUG - Activity 103786: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:33,712 - acbm.assigning - DEBUG - Activity 103786: sampling based on floor area\n", - "2024-05-14 18:29:33,714 - acbm.assigning - DEBUG - Activity 103788: Initial number of options for activity = 7\n", - "2024-05-14 18:29:33,715 - acbm.assigning - DEBUG - Activity 103788: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:33,716 - acbm.assigning - DEBUG - Activity 103788: sampling based on floor area\n", - "2024-05-14 18:29:33,717 - acbm.assigning - DEBUG - Activity 103792: Initial number of options for activity = 7\n", - "2024-05-14 18:29:33,719 - acbm.assigning - DEBUG - Activity 103792: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:33,720 - acbm.assigning - DEBUG - Activity 103792: sampling based on floor area\n", - "2024-05-14 18:29:33,722 - acbm.assigning - DEBUG - Activity 103797: Initial number of options for activity = 7\n", - "2024-05-14 18:29:33,724 - acbm.assigning - DEBUG - Activity 103797: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:33,725 - acbm.assigning - DEBUG - Activity 103797: sampling based on floor area\n", - "2024-05-14 18:29:33,727 - acbm.assigning - DEBUG - Activity 103799: Initial number of options for activity = 7\n", - "2024-05-14 18:29:33,730 - acbm.assigning - DEBUG - Activity 103799: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:33,731 - acbm.assigning - DEBUG - Activity 103799: sampling based on floor area\n", - "2024-05-14 18:29:33,732 - acbm.assigning - INFO - Activity 103920: No zones available\n", - "2024-05-14 18:29:33,732 - acbm.assigning - DEBUG - Activity 103927: Initial number of options for activity = 47\n", - "2024-05-14 18:29:33,735 - acbm.assigning - DEBUG - Activity 103927: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:33,735 - acbm.assigning - DEBUG - Activity 103927: sampling based on floor area\n", - "2024-05-14 18:29:33,737 - acbm.assigning - DEBUG - Activity 104068: Initial number of options for activity = 12\n", - "2024-05-14 18:29:33,739 - acbm.assigning - DEBUG - Activity 104068: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:33,740 - acbm.assigning - DEBUG - Activity 104068: sampling based on floor area\n", - "2024-05-14 18:29:33,741 - acbm.assigning - DEBUG - Activity 104070: Initial number of options for activity = 12\n", - "2024-05-14 18:29:33,747 - acbm.assigning - DEBUG - Activity 104070: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:33,750 - acbm.assigning - DEBUG - Activity 104070: sampling based on floor area\n", - "2024-05-14 18:29:33,752 - acbm.assigning - DEBUG - Activity 104072: Initial number of options for activity = 12\n", - "2024-05-14 18:29:33,756 - acbm.assigning - DEBUG - Activity 104072: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:33,757 - acbm.assigning - DEBUG - Activity 104072: sampling based on floor area\n", - "2024-05-14 18:29:33,758 - acbm.assigning - DEBUG - Activity 104076: Initial number of options for activity = 12\n", - "2024-05-14 18:29:33,761 - acbm.assigning - DEBUG - Activity 104076: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:33,762 - acbm.assigning - DEBUG - Activity 104076: sampling based on floor area\n", - "2024-05-14 18:29:33,763 - acbm.assigning - DEBUG - Activity 104079: Initial number of options for activity = 12\n", - "2024-05-14 18:29:33,765 - acbm.assigning - DEBUG - Activity 104079: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:33,766 - acbm.assigning - DEBUG - Activity 104079: sampling based on floor area\n", - "2024-05-14 18:29:33,767 - acbm.assigning - DEBUG - Activity 104210: Initial number of options for activity = 19\n", - "2024-05-14 18:29:33,769 - acbm.assigning - DEBUG - Activity 104210: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:33,771 - acbm.assigning - DEBUG - Activity 104210: sampling based on floor area\n", - "2024-05-14 18:29:33,772 - acbm.assigning - DEBUG - Activity 104212: Initial number of options for activity = 19\n", - "2024-05-14 18:29:33,774 - acbm.assigning - DEBUG - Activity 104212: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:33,776 - acbm.assigning - DEBUG - Activity 104212: sampling based on floor area\n", - "2024-05-14 18:29:33,778 - acbm.assigning - DEBUG - Activity 104214: Initial number of options for activity = 19\n", - "2024-05-14 18:29:33,780 - acbm.assigning - DEBUG - Activity 104214: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:33,781 - acbm.assigning - DEBUG - Activity 104214: sampling based on floor area\n", - "2024-05-14 18:29:33,783 - acbm.assigning - DEBUG - Activity 104273: Initial number of options for activity = 20\n", - "2024-05-14 18:29:33,786 - acbm.assigning - DEBUG - Activity 104273: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:33,787 - acbm.assigning - DEBUG - Activity 104273: sampling based on floor area\n", - "2024-05-14 18:29:33,789 - acbm.assigning - DEBUG - Activity 104274: Initial number of options for activity = 20\n", - "2024-05-14 18:29:33,791 - acbm.assigning - DEBUG - Activity 104274: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:33,792 - acbm.assigning - DEBUG - Activity 104274: sampling based on floor area\n", - "2024-05-14 18:29:33,794 - acbm.assigning - DEBUG - Activity 104278: Initial number of options for activity = 11\n", - "2024-05-14 18:29:33,797 - acbm.assigning - DEBUG - Activity 104278: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:33,798 - acbm.assigning - DEBUG - Activity 104278: sampling based on floor area\n", - "2024-05-14 18:29:33,800 - acbm.assigning - DEBUG - Activity 104280: Initial number of options for activity = 11\n", - "2024-05-14 18:29:33,802 - acbm.assigning - DEBUG - Activity 104280: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:33,803 - acbm.assigning - DEBUG - Activity 104280: sampling based on floor area\n", - "2024-05-14 18:29:33,806 - acbm.assigning - DEBUG - Activity 104286: Initial number of options for activity = 20\n", - "2024-05-14 18:29:33,809 - acbm.assigning - DEBUG - Activity 104286: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:33,811 - acbm.assigning - DEBUG - Activity 104286: sampling based on floor area\n", - "2024-05-14 18:29:33,813 - acbm.assigning - DEBUG - Activity 104402: Initial number of options for activity = 2\n", - "2024-05-14 18:29:33,815 - acbm.assigning - DEBUG - Activity 104402: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:33,817 - acbm.assigning - DEBUG - Activity 104402: sampling based on floor area\n", - "2024-05-14 18:29:33,818 - acbm.assigning - DEBUG - Activity 104406: Initial number of options for activity = 2\n", - "2024-05-14 18:29:33,820 - acbm.assigning - DEBUG - Activity 104406: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:33,821 - acbm.assigning - DEBUG - Activity 104406: sampling based on floor area\n", - "2024-05-14 18:29:33,823 - acbm.assigning - DEBUG - Activity 104410: Initial number of options for activity = 2\n", - "2024-05-14 18:29:33,824 - acbm.assigning - DEBUG - Activity 104410: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:33,825 - acbm.assigning - DEBUG - Activity 104410: sampling based on floor area\n", - "2024-05-14 18:29:33,826 - acbm.assigning - DEBUG - Activity 104412: Initial number of options for activity = 2\n", - "2024-05-14 18:29:33,829 - acbm.assigning - DEBUG - Activity 104412: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:33,830 - acbm.assigning - DEBUG - Activity 104412: sampling based on floor area\n", - "2024-05-14 18:29:33,832 - acbm.assigning - INFO - Activity 104416: No zones available\n", - "2024-05-14 18:29:33,832 - acbm.assigning - DEBUG - Activity 104797: Initial number of options for activity = 6\n", - "2024-05-14 18:29:33,835 - acbm.assigning - DEBUG - Activity 104797: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:33,835 - acbm.assigning - DEBUG - Activity 104797: sampling based on floor area\n", - "2024-05-14 18:29:33,837 - acbm.assigning - DEBUG - Activity 104801: Initial number of options for activity = 3\n", - "2024-05-14 18:29:33,839 - acbm.assigning - DEBUG - Activity 104801: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:33,840 - acbm.assigning - DEBUG - Activity 104801: sampling based on floor area\n", - "2024-05-14 18:29:33,842 - acbm.assigning - DEBUG - Activity 104803: Initial number of options for activity = 3\n", - "2024-05-14 18:29:33,845 - acbm.assigning - DEBUG - Activity 104803: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:33,846 - acbm.assigning - DEBUG - Activity 104803: sampling based on floor area\n", - "2024-05-14 18:29:33,848 - acbm.assigning - DEBUG - Activity 104807: Initial number of options for activity = 3\n", - "2024-05-14 18:29:33,851 - acbm.assigning - DEBUG - Activity 104807: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:33,851 - acbm.assigning - DEBUG - Activity 104807: sampling based on floor area\n", - "2024-05-14 18:29:33,853 - acbm.assigning - DEBUG - Activity 104813: Initial number of options for activity = 5\n", - "2024-05-14 18:29:33,855 - acbm.assigning - DEBUG - Activity 104813: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:33,856 - acbm.assigning - DEBUG - Activity 104813: sampling based on floor area\n", - "2024-05-14 18:29:33,858 - acbm.assigning - DEBUG - Activity 104815: Initial number of options for activity = 5\n", - "2024-05-14 18:29:33,860 - acbm.assigning - DEBUG - Activity 104815: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:33,861 - acbm.assigning - DEBUG - Activity 104815: sampling based on floor area\n", - "2024-05-14 18:29:33,862 - acbm.assigning - DEBUG - Activity 104837: Initial number of options for activity = 9\n", - "2024-05-14 18:29:33,865 - acbm.assigning - DEBUG - Activity 104837: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:33,866 - acbm.assigning - DEBUG - Activity 104837: sampling based on floor area\n", - "2024-05-14 18:29:33,868 - acbm.assigning - DEBUG - Activity 104838: Initial number of options for activity = 9\n", - "2024-05-14 18:29:33,870 - acbm.assigning - DEBUG - Activity 104838: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:33,871 - acbm.assigning - DEBUG - Activity 104838: sampling based on floor area\n", - "2024-05-14 18:29:33,872 - acbm.assigning - DEBUG - Activity 104839: Initial number of options for activity = 9\n", - "2024-05-14 18:29:33,874 - acbm.assigning - DEBUG - Activity 104839: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:33,875 - acbm.assigning - DEBUG - Activity 104839: sampling based on floor area\n", - "2024-05-14 18:29:33,876 - acbm.assigning - DEBUG - Activity 104844: Initial number of options for activity = 7\n", - "2024-05-14 18:29:33,878 - acbm.assigning - DEBUG - Activity 104844: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:33,879 - acbm.assigning - DEBUG - Activity 104844: sampling based on floor area\n", - "2024-05-14 18:29:33,881 - acbm.assigning - DEBUG - Activity 104909: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,883 - acbm.assigning - DEBUG - Activity 104909: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,885 - acbm.assigning - DEBUG - Activity 104909: sampling based on floor area\n", - "2024-05-14 18:29:33,886 - acbm.assigning - DEBUG - Activity 104911: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,888 - acbm.assigning - DEBUG - Activity 104911: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,888 - acbm.assigning - DEBUG - Activity 104911: sampling based on floor area\n", - "2024-05-14 18:29:33,889 - acbm.assigning - DEBUG - Activity 104920: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,891 - acbm.assigning - DEBUG - Activity 104920: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,891 - acbm.assigning - DEBUG - Activity 104920: sampling based on floor area\n", - "2024-05-14 18:29:33,892 - acbm.assigning - DEBUG - Activity 104924: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,894 - acbm.assigning - DEBUG - Activity 104924: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,895 - acbm.assigning - DEBUG - Activity 104924: sampling based on floor area\n", - "2024-05-14 18:29:33,895 - acbm.assigning - DEBUG - Activity 104968: Initial number of options for activity = 27\n", - "2024-05-14 18:29:33,897 - acbm.assigning - DEBUG - Activity 104968: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:33,898 - acbm.assigning - DEBUG - Activity 104968: sampling based on floor area\n", - "2024-05-14 18:29:33,899 - acbm.assigning - DEBUG - Activity 104970: Initial number of options for activity = 27\n", - "2024-05-14 18:29:33,900 - acbm.assigning - DEBUG - Activity 104970: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:33,901 - acbm.assigning - DEBUG - Activity 104970: sampling based on floor area\n", - "2024-05-14 18:29:33,902 - acbm.assigning - DEBUG - Activity 104972: Initial number of options for activity = 27\n", - "2024-05-14 18:29:33,903 - acbm.assigning - DEBUG - Activity 104972: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:33,904 - acbm.assigning - DEBUG - Activity 104972: sampling based on floor area\n", - "2024-05-14 18:29:33,905 - acbm.assigning - DEBUG - Activity 104974: Initial number of options for activity = 27\n", - "2024-05-14 18:29:33,906 - acbm.assigning - DEBUG - Activity 104974: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:33,907 - acbm.assigning - DEBUG - Activity 104974: sampling based on floor area\n", - "2024-05-14 18:29:33,908 - acbm.assigning - DEBUG - Activity 104976: Initial number of options for activity = 27\n", - "2024-05-14 18:29:33,910 - acbm.assigning - DEBUG - Activity 104976: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:33,911 - acbm.assigning - DEBUG - Activity 104976: sampling based on floor area\n", - "2024-05-14 18:29:33,912 - acbm.assigning - DEBUG - Activity 105010: Initial number of options for activity = 6\n", - "2024-05-14 18:29:33,913 - acbm.assigning - DEBUG - Activity 105010: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:33,914 - acbm.assigning - DEBUG - Activity 105010: sampling based on floor area\n", - "2024-05-14 18:29:33,915 - acbm.assigning - DEBUG - Activity 105040: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,916 - acbm.assigning - DEBUG - Activity 105040: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,917 - acbm.assigning - DEBUG - Activity 105040: sampling based on floor area\n", - "2024-05-14 18:29:33,917 - acbm.assigning - DEBUG - Activity 105052: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,919 - acbm.assigning - DEBUG - Activity 105052: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,920 - acbm.assigning - DEBUG - Activity 105052: sampling based on floor area\n", - "2024-05-14 18:29:33,921 - acbm.assigning - DEBUG - Activity 105054: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,922 - acbm.assigning - DEBUG - Activity 105054: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,922 - acbm.assigning - DEBUG - Activity 105054: sampling based on floor area\n", - "2024-05-14 18:29:33,923 - acbm.assigning - INFO - Activity 105205: No zones available\n", - "2024-05-14 18:29:33,924 - acbm.assigning - INFO - Activity 105211: No zones available\n", - "2024-05-14 18:29:33,924 - acbm.assigning - DEBUG - Activity 105322: Initial number of options for activity = 90\n", - "2024-05-14 18:29:33,926 - acbm.assigning - DEBUG - Activity 105322: Number of options after filtering by education type: 90\n", - "2024-05-14 18:29:33,927 - acbm.assigning - DEBUG - Activity 105322: sampling based on floor area\n", - "2024-05-14 18:29:33,927 - acbm.assigning - DEBUG - Activity 105323: Initial number of options for activity = 90\n", - "2024-05-14 18:29:33,929 - acbm.assigning - DEBUG - Activity 105323: Number of options after filtering by education type: 90\n", - "2024-05-14 18:29:33,930 - acbm.assigning - DEBUG - Activity 105323: sampling based on floor area\n", - "2024-05-14 18:29:33,931 - acbm.assigning - DEBUG - Activity 105325: Initial number of options for activity = 70\n", - "2024-05-14 18:29:33,932 - acbm.assigning - DEBUG - Activity 105325: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:33,933 - acbm.assigning - DEBUG - Activity 105325: sampling based on floor area\n", - "2024-05-14 18:29:33,934 - acbm.assigning - DEBUG - Activity 105329: Initial number of options for activity = 90\n", - "2024-05-14 18:29:33,936 - acbm.assigning - DEBUG - Activity 105329: Number of options after filtering by education type: 90\n", - "2024-05-14 18:29:33,937 - acbm.assigning - DEBUG - Activity 105329: sampling based on floor area\n", - "2024-05-14 18:29:33,937 - acbm.assigning - DEBUG - Activity 105331: Initial number of options for activity = 86\n", - "2024-05-14 18:29:33,939 - acbm.assigning - DEBUG - Activity 105331: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:33,939 - acbm.assigning - DEBUG - Activity 105331: sampling based on floor area\n", - "2024-05-14 18:29:33,940 - acbm.assigning - DEBUG - Activity 105332: Initial number of options for activity = 86\n", - "2024-05-14 18:29:33,943 - acbm.assigning - DEBUG - Activity 105332: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:33,943 - acbm.assigning - DEBUG - Activity 105332: sampling based on floor area\n", - "2024-05-14 18:29:33,944 - acbm.assigning - DEBUG - Activity 105388: Initial number of options for activity = 32\n", - "2024-05-14 18:29:33,946 - acbm.assigning - DEBUG - Activity 105388: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:33,946 - acbm.assigning - DEBUG - Activity 105388: sampling based on floor area\n", - "2024-05-14 18:29:33,947 - acbm.assigning - DEBUG - Activity 105394: Initial number of options for activity = 12\n", - "2024-05-14 18:29:33,950 - acbm.assigning - DEBUG - Activity 105394: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:33,951 - acbm.assigning - DEBUG - Activity 105394: sampling based on floor area\n", - "2024-05-14 18:29:33,952 - acbm.assigning - DEBUG - Activity 105403: Initial number of options for activity = 32\n", - "2024-05-14 18:29:33,955 - acbm.assigning - DEBUG - Activity 105403: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:33,955 - acbm.assigning - DEBUG - Activity 105403: sampling based on floor area\n", - "2024-05-14 18:29:33,956 - acbm.assigning - DEBUG - Activity 105404: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,958 - acbm.assigning - DEBUG - Activity 105404: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,959 - acbm.assigning - DEBUG - Activity 105404: sampling based on floor area\n", - "2024-05-14 18:29:33,960 - acbm.assigning - DEBUG - Activity 105447: Initial number of options for activity = 10\n", - "2024-05-14 18:29:33,962 - acbm.assigning - DEBUG - Activity 105447: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:33,963 - acbm.assigning - DEBUG - Activity 105447: sampling based on floor area\n", - "2024-05-14 18:29:33,964 - acbm.assigning - DEBUG - Activity 105487: Initial number of options for activity = 49\n", - "2024-05-14 18:29:33,967 - acbm.assigning - DEBUG - Activity 105487: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:33,968 - acbm.assigning - DEBUG - Activity 105487: sampling based on floor area\n", - "2024-05-14 18:29:33,969 - acbm.assigning - DEBUG - Activity 105517: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,971 - acbm.assigning - DEBUG - Activity 105517: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,972 - acbm.assigning - DEBUG - Activity 105517: sampling based on floor area\n", - "2024-05-14 18:29:33,973 - acbm.assigning - DEBUG - Activity 105518: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,975 - acbm.assigning - DEBUG - Activity 105518: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,977 - acbm.assigning - DEBUG - Activity 105518: sampling based on floor area\n", - "2024-05-14 18:29:33,978 - acbm.assigning - DEBUG - Activity 105519: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,980 - acbm.assigning - DEBUG - Activity 105519: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,981 - acbm.assigning - DEBUG - Activity 105519: sampling based on floor area\n", - "2024-05-14 18:29:33,982 - acbm.assigning - DEBUG - Activity 105522: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,984 - acbm.assigning - DEBUG - Activity 105522: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,985 - acbm.assigning - DEBUG - Activity 105522: sampling based on floor area\n", - "2024-05-14 18:29:33,986 - acbm.assigning - DEBUG - Activity 105523: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,987 - acbm.assigning - DEBUG - Activity 105523: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,988 - acbm.assigning - DEBUG - Activity 105523: sampling based on floor area\n", - "2024-05-14 18:29:33,989 - acbm.assigning - DEBUG - Activity 105546: Initial number of options for activity = 1\n", - "2024-05-14 18:29:33,991 - acbm.assigning - DEBUG - Activity 105546: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:33,991 - acbm.assigning - DEBUG - Activity 105546: sampling based on floor area\n", - "2024-05-14 18:29:33,993 - acbm.assigning - DEBUG - Activity 105656: Initial number of options for activity = 5\n", - "2024-05-14 18:29:33,995 - acbm.assigning - DEBUG - Activity 105656: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:33,995 - acbm.assigning - DEBUG - Activity 105656: sampling based on floor area\n", - "2024-05-14 18:29:33,997 - acbm.assigning - DEBUG - Activity 105658: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,010 - acbm.assigning - DEBUG - Activity 105658: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,010 - acbm.assigning - DEBUG - Activity 105658: sampling based on floor area\n", - "2024-05-14 18:29:34,011 - acbm.assigning - DEBUG - Activity 105709: Initial number of options for activity = 163\n", - "2024-05-14 18:29:34,014 - acbm.assigning - DEBUG - Activity 105709: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:34,015 - acbm.assigning - DEBUG - Activity 105709: sampling based on floor area\n", - "2024-05-14 18:29:34,016 - acbm.assigning - DEBUG - Activity 105711: Initial number of options for activity = 163\n", - "2024-05-14 18:29:34,023 - acbm.assigning - DEBUG - Activity 105711: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:34,046 - acbm.assigning - DEBUG - Activity 105711: sampling based on floor area\n", - "2024-05-14 18:29:34,059 - acbm.assigning - DEBUG - Activity 105713: Initial number of options for activity = 163\n", - "2024-05-14 18:29:34,063 - acbm.assigning - DEBUG - Activity 105713: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:34,064 - acbm.assigning - DEBUG - Activity 105713: sampling based on floor area\n", - "2024-05-14 18:29:34,067 - acbm.assigning - DEBUG - Activity 105715: Initial number of options for activity = 163\n", - "2024-05-14 18:29:34,071 - acbm.assigning - DEBUG - Activity 105715: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:34,072 - acbm.assigning - DEBUG - Activity 105715: sampling based on floor area\n", - "2024-05-14 18:29:34,073 - acbm.assigning - INFO - Activity 105856: No zones available\n", - "2024-05-14 18:29:34,074 - acbm.assigning - DEBUG - Activity 105962: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,078 - acbm.assigning - DEBUG - Activity 105962: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,079 - acbm.assigning - DEBUG - Activity 105962: sampling based on floor area\n", - "2024-05-14 18:29:34,084 - acbm.assigning - DEBUG - Activity 105964: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,088 - acbm.assigning - DEBUG - Activity 105964: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,089 - acbm.assigning - DEBUG - Activity 105964: sampling based on floor area\n", - "2024-05-14 18:29:34,091 - acbm.assigning - DEBUG - Activity 105966: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,095 - acbm.assigning - DEBUG - Activity 105966: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,096 - acbm.assigning - DEBUG - Activity 105966: sampling based on floor area\n", - "2024-05-14 18:29:34,101 - acbm.assigning - DEBUG - Activity 105967: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,106 - acbm.assigning - DEBUG - Activity 105967: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,115 - acbm.assigning - DEBUG - Activity 105967: sampling based on floor area\n", - "2024-05-14 18:29:34,124 - acbm.assigning - DEBUG - Activity 105986: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,126 - acbm.assigning - DEBUG - Activity 105986: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,128 - acbm.assigning - DEBUG - Activity 105986: sampling based on floor area\n", - "2024-05-14 18:29:34,129 - acbm.assigning - DEBUG - Activity 105988: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,132 - acbm.assigning - DEBUG - Activity 105988: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,133 - acbm.assigning - DEBUG - Activity 105988: sampling based on floor area\n", - "2024-05-14 18:29:34,135 - acbm.assigning - DEBUG - Activity 105992: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,137 - acbm.assigning - DEBUG - Activity 105992: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,138 - acbm.assigning - DEBUG - Activity 105992: sampling based on floor area\n", - "2024-05-14 18:29:34,140 - acbm.assigning - DEBUG - Activity 105994: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,142 - acbm.assigning - DEBUG - Activity 105994: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,143 - acbm.assigning - DEBUG - Activity 105994: sampling based on floor area\n", - "2024-05-14 18:29:34,145 - acbm.assigning - DEBUG - Activity 105996: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,147 - acbm.assigning - DEBUG - Activity 105996: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,148 - acbm.assigning - DEBUG - Activity 105996: sampling based on floor area\n", - "2024-05-14 18:29:34,150 - acbm.assigning - DEBUG - Activity 106127: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,151 - acbm.assigning - DEBUG - Activity 106127: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,153 - acbm.assigning - DEBUG - Activity 106127: sampling based on floor area\n", - "2024-05-14 18:29:34,154 - acbm.assigning - DEBUG - Activity 106129: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,156 - acbm.assigning - DEBUG - Activity 106129: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,156 - acbm.assigning - DEBUG - Activity 106129: sampling based on floor area\n", - "2024-05-14 18:29:34,158 - acbm.assigning - DEBUG - Activity 106134: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,163 - acbm.assigning - DEBUG - Activity 106134: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,164 - acbm.assigning - DEBUG - Activity 106134: sampling based on floor area\n", - "2024-05-14 18:29:34,166 - acbm.assigning - DEBUG - Activity 106135: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,169 - acbm.assigning - DEBUG - Activity 106135: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,170 - acbm.assigning - DEBUG - Activity 106135: sampling based on floor area\n", - "2024-05-14 18:29:34,172 - acbm.assigning - DEBUG - Activity 106243: Initial number of options for activity = 57\n", - "2024-05-14 18:29:34,175 - acbm.assigning - DEBUG - Activity 106243: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:34,177 - acbm.assigning - DEBUG - Activity 106243: sampling based on floor area\n", - "2024-05-14 18:29:34,179 - acbm.assigning - DEBUG - Activity 106245: Initial number of options for activity = 57\n", - "2024-05-14 18:29:34,182 - acbm.assigning - DEBUG - Activity 106245: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:34,183 - acbm.assigning - DEBUG - Activity 106245: sampling based on floor area\n", - "2024-05-14 18:29:34,184 - acbm.assigning - DEBUG - Activity 106247: Initial number of options for activity = 57\n", - "2024-05-14 18:29:34,187 - acbm.assigning - DEBUG - Activity 106247: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:34,188 - acbm.assigning - DEBUG - Activity 106247: sampling based on floor area\n", - "2024-05-14 18:29:34,189 - acbm.assigning - DEBUG - Activity 106249: Initial number of options for activity = 57\n", - "2024-05-14 18:29:34,192 - acbm.assigning - DEBUG - Activity 106249: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:34,193 - acbm.assigning - DEBUG - Activity 106249: sampling based on floor area\n", - "2024-05-14 18:29:34,194 - acbm.assigning - DEBUG - Activity 106252: Initial number of options for activity = 57\n", - "2024-05-14 18:29:34,197 - acbm.assigning - DEBUG - Activity 106252: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:34,198 - acbm.assigning - DEBUG - Activity 106252: sampling based on floor area\n", - "2024-05-14 18:29:34,199 - acbm.assigning - INFO - Activity 106260: No zones available\n", - "2024-05-14 18:29:34,200 - acbm.assigning - INFO - Activity 106269: No zones available\n", - "2024-05-14 18:29:34,201 - acbm.assigning - INFO - Activity 106277: No zones available\n", - "2024-05-14 18:29:34,201 - acbm.assigning - INFO - Activity 106293: No zones available\n", - "2024-05-14 18:29:34,202 - acbm.assigning - INFO - Activity 106303: No zones available\n", - "2024-05-14 18:29:34,203 - acbm.assigning - DEBUG - Activity 106306: Initial number of options for activity = 6\n", - "2024-05-14 18:29:34,206 - acbm.assigning - DEBUG - Activity 106306: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:34,207 - acbm.assigning - DEBUG - Activity 106306: sampling based on floor area\n", - "2024-05-14 18:29:34,209 - acbm.assigning - INFO - Activity 106321: No zones available\n", - "2024-05-14 18:29:34,210 - acbm.assigning - INFO - Activity 106325: No zones available\n", - "2024-05-14 18:29:34,210 - acbm.assigning - DEBUG - Activity 106381: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,215 - acbm.assigning - DEBUG - Activity 106381: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,216 - acbm.assigning - DEBUG - Activity 106381: sampling based on floor area\n", - "2024-05-14 18:29:34,217 - acbm.assigning - DEBUG - Activity 106383: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,220 - acbm.assigning - DEBUG - Activity 106383: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,220 - acbm.assigning - DEBUG - Activity 106383: sampling based on floor area\n", - "2024-05-14 18:29:34,222 - acbm.assigning - DEBUG - Activity 106385: Initial number of options for activity = 8\n", - "2024-05-14 18:29:34,224 - acbm.assigning - DEBUG - Activity 106385: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:34,224 - acbm.assigning - DEBUG - Activity 106385: sampling based on floor area\n", - "2024-05-14 18:29:34,225 - acbm.assigning - DEBUG - Activity 106387: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,227 - acbm.assigning - DEBUG - Activity 106387: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,228 - acbm.assigning - DEBUG - Activity 106387: sampling based on floor area\n", - "2024-05-14 18:29:34,229 - acbm.assigning - DEBUG - Activity 106389: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,230 - acbm.assigning - DEBUG - Activity 106389: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,231 - acbm.assigning - DEBUG - Activity 106389: sampling based on floor area\n", - "2024-05-14 18:29:34,232 - acbm.assigning - DEBUG - Activity 106456: Initial number of options for activity = 103\n", - "2024-05-14 18:29:34,234 - acbm.assigning - DEBUG - Activity 106456: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:34,234 - acbm.assigning - DEBUG - Activity 106456: sampling based on floor area\n", - "2024-05-14 18:29:34,235 - acbm.assigning - DEBUG - Activity 106458: Initial number of options for activity = 103\n", - "2024-05-14 18:29:34,237 - acbm.assigning - DEBUG - Activity 106458: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:34,238 - acbm.assigning - DEBUG - Activity 106458: sampling based on floor area\n", - "2024-05-14 18:29:34,239 - acbm.assigning - DEBUG - Activity 106460: Initial number of options for activity = 103\n", - "2024-05-14 18:29:34,240 - acbm.assigning - DEBUG - Activity 106460: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:34,241 - acbm.assigning - DEBUG - Activity 106460: sampling based on floor area\n", - "2024-05-14 18:29:34,242 - acbm.assigning - DEBUG - Activity 106462: Initial number of options for activity = 103\n", - "2024-05-14 18:29:34,243 - acbm.assigning - DEBUG - Activity 106462: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:34,244 - acbm.assigning - DEBUG - Activity 106462: sampling based on floor area\n", - "2024-05-14 18:29:34,245 - acbm.assigning - DEBUG - Activity 106464: Initial number of options for activity = 103\n", - "2024-05-14 18:29:34,247 - acbm.assigning - DEBUG - Activity 106464: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:34,247 - acbm.assigning - DEBUG - Activity 106464: sampling based on floor area\n", - "2024-05-14 18:29:34,249 - acbm.assigning - DEBUG - Activity 106536: Initial number of options for activity = 11\n", - "2024-05-14 18:29:34,250 - acbm.assigning - DEBUG - Activity 106536: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:34,251 - acbm.assigning - DEBUG - Activity 106536: sampling based on floor area\n", - "2024-05-14 18:29:34,252 - acbm.assigning - DEBUG - Activity 106539: Initial number of options for activity = 11\n", - "2024-05-14 18:29:34,254 - acbm.assigning - DEBUG - Activity 106539: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:34,254 - acbm.assigning - DEBUG - Activity 106539: sampling based on floor area\n", - "2024-05-14 18:29:34,255 - acbm.assigning - DEBUG - Activity 106540: Initial number of options for activity = 11\n", - "2024-05-14 18:29:34,257 - acbm.assigning - DEBUG - Activity 106540: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:34,258 - acbm.assigning - DEBUG - Activity 106540: sampling based on floor area\n", - "2024-05-14 18:29:34,259 - acbm.assigning - DEBUG - Activity 106543: Initial number of options for activity = 11\n", - "2024-05-14 18:29:34,262 - acbm.assigning - DEBUG - Activity 106543: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:34,263 - acbm.assigning - DEBUG - Activity 106543: sampling based on floor area\n", - "2024-05-14 18:29:34,265 - acbm.assigning - DEBUG - Activity 106544: Initial number of options for activity = 11\n", - "2024-05-14 18:29:34,269 - acbm.assigning - DEBUG - Activity 106544: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:34,270 - acbm.assigning - DEBUG - Activity 106544: sampling based on floor area\n", - "2024-05-14 18:29:34,271 - acbm.assigning - DEBUG - Activity 106577: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,272 - acbm.assigning - DEBUG - Activity 106577: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,273 - acbm.assigning - DEBUG - Activity 106577: sampling based on floor area\n", - "2024-05-14 18:29:34,274 - acbm.assigning - INFO - Activity 106580: No zones available\n", - "2024-05-14 18:29:34,274 - acbm.assigning - DEBUG - Activity 106732: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,276 - acbm.assigning - DEBUG - Activity 106732: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,276 - acbm.assigning - DEBUG - Activity 106732: sampling based on floor area\n", - "2024-05-14 18:29:34,278 - acbm.assigning - DEBUG - Activity 106837: Initial number of options for activity = 24\n", - "2024-05-14 18:29:34,280 - acbm.assigning - DEBUG - Activity 106837: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:34,280 - acbm.assigning - DEBUG - Activity 106837: sampling based on floor area\n", - "2024-05-14 18:29:34,282 - acbm.assigning - DEBUG - Activity 106841: Initial number of options for activity = 24\n", - "2024-05-14 18:29:34,283 - acbm.assigning - DEBUG - Activity 106841: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:34,284 - acbm.assigning - DEBUG - Activity 106841: sampling based on floor area\n", - "2024-05-14 18:29:34,285 - acbm.assigning - DEBUG - Activity 106845: Initial number of options for activity = 24\n", - "2024-05-14 18:29:34,287 - acbm.assigning - DEBUG - Activity 106845: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:34,287 - acbm.assigning - DEBUG - Activity 106845: sampling based on floor area\n", - "2024-05-14 18:29:34,288 - acbm.assigning - DEBUG - Activity 106848: Initial number of options for activity = 24\n", - "2024-05-14 18:29:34,290 - acbm.assigning - DEBUG - Activity 106848: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:34,291 - acbm.assigning - DEBUG - Activity 106848: sampling based on floor area\n", - "2024-05-14 18:29:34,292 - acbm.assigning - DEBUG - Activity 106856: Initial number of options for activity = 24\n", - "2024-05-14 18:29:34,294 - acbm.assigning - DEBUG - Activity 106856: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:34,295 - acbm.assigning - DEBUG - Activity 106856: sampling based on floor area\n", - "2024-05-14 18:29:34,296 - acbm.assigning - INFO - Activity 106876: No zones available\n", - "2024-05-14 18:29:34,296 - acbm.assigning - INFO - Activity 106883: No zones available\n", - "2024-05-14 18:29:34,297 - acbm.assigning - INFO - Activity 106894: No zones available\n", - "2024-05-14 18:29:34,298 - acbm.assigning - INFO - Activity 106906: No zones available\n", - "2024-05-14 18:29:34,298 - acbm.assigning - INFO - Activity 106923: No zones available\n", - "2024-05-14 18:29:34,299 - acbm.assigning - INFO - Activity 106933: No zones available\n", - "2024-05-14 18:29:34,299 - acbm.assigning - DEBUG - Activity 106936: Initial number of options for activity = 7\n", - "2024-05-14 18:29:34,301 - acbm.assigning - DEBUG - Activity 106936: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:34,302 - acbm.assigning - DEBUG - Activity 106936: sampling based on floor area\n", - "2024-05-14 18:29:34,304 - acbm.assigning - INFO - Activity 106951: No zones available\n", - "2024-05-14 18:29:34,304 - acbm.assigning - DEBUG - Activity 106972: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,306 - acbm.assigning - DEBUG - Activity 106972: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,307 - acbm.assigning - DEBUG - Activity 106972: sampling based on floor area\n", - "2024-05-14 18:29:34,308 - acbm.assigning - DEBUG - Activity 106973: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,315 - acbm.assigning - DEBUG - Activity 106973: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,317 - acbm.assigning - DEBUG - Activity 106973: sampling based on floor area\n", - "2024-05-14 18:29:34,319 - acbm.assigning - DEBUG - Activity 106975: Initial number of options for activity = 7\n", - "2024-05-14 18:29:34,324 - acbm.assigning - DEBUG - Activity 106975: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:34,325 - acbm.assigning - DEBUG - Activity 106975: sampling based on floor area\n", - "2024-05-14 18:29:34,326 - acbm.assigning - DEBUG - Activity 106976: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,328 - acbm.assigning - DEBUG - Activity 106976: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,329 - acbm.assigning - DEBUG - Activity 106976: sampling based on floor area\n", - "2024-05-14 18:29:34,330 - acbm.assigning - DEBUG - Activity 106978: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,333 - acbm.assigning - DEBUG - Activity 106978: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,334 - acbm.assigning - DEBUG - Activity 106978: sampling based on floor area\n", - "2024-05-14 18:29:34,335 - acbm.assigning - INFO - Activity 107001: No zones available\n", - "2024-05-14 18:29:34,336 - acbm.assigning - DEBUG - Activity 107008: Initial number of options for activity = 115\n", - "2024-05-14 18:29:34,337 - acbm.assigning - DEBUG - Activity 107008: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:34,338 - acbm.assigning - DEBUG - Activity 107008: sampling based on floor area\n", - "2024-05-14 18:29:34,339 - acbm.assigning - DEBUG - Activity 107009: Initial number of options for activity = 115\n", - "2024-05-14 18:29:34,341 - acbm.assigning - DEBUG - Activity 107009: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:34,342 - acbm.assigning - DEBUG - Activity 107009: sampling based on floor area\n", - "2024-05-14 18:29:34,344 - acbm.assigning - DEBUG - Activity 107010: Initial number of options for activity = 115\n", - "2024-05-14 18:29:34,346 - acbm.assigning - DEBUG - Activity 107010: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:34,346 - acbm.assigning - DEBUG - Activity 107010: sampling based on floor area\n", - "2024-05-14 18:29:34,348 - acbm.assigning - DEBUG - Activity 107012: Initial number of options for activity = 115\n", - "2024-05-14 18:29:34,349 - acbm.assigning - DEBUG - Activity 107012: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:34,350 - acbm.assigning - DEBUG - Activity 107012: sampling based on floor area\n", - "2024-05-14 18:29:34,352 - acbm.assigning - DEBUG - Activity 107060: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,354 - acbm.assigning - DEBUG - Activity 107060: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,355 - acbm.assigning - DEBUG - Activity 107060: sampling based on floor area\n", - "2024-05-14 18:29:34,356 - acbm.assigning - DEBUG - Activity 107062: Initial number of options for activity = 14\n", - "2024-05-14 18:29:34,358 - acbm.assigning - DEBUG - Activity 107062: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:34,358 - acbm.assigning - DEBUG - Activity 107062: sampling based on floor area\n", - "2024-05-14 18:29:34,359 - acbm.assigning - DEBUG - Activity 107064: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,362 - acbm.assigning - DEBUG - Activity 107064: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,362 - acbm.assigning - DEBUG - Activity 107064: sampling based on floor area\n", - "2024-05-14 18:29:34,364 - acbm.assigning - INFO - Activity 107275: No zones available\n", - "2024-05-14 18:29:34,365 - acbm.assigning - DEBUG - Activity 107357: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,367 - acbm.assigning - DEBUG - Activity 107357: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,368 - acbm.assigning - DEBUG - Activity 107357: sampling based on floor area\n", - "2024-05-14 18:29:34,369 - acbm.assigning - DEBUG - Activity 107450: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,372 - acbm.assigning - DEBUG - Activity 107450: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,372 - acbm.assigning - DEBUG - Activity 107450: sampling based on floor area\n", - "2024-05-14 18:29:34,373 - acbm.assigning - DEBUG - Activity 107452: Initial number of options for activity = 27\n", - "2024-05-14 18:29:34,376 - acbm.assigning - DEBUG - Activity 107452: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:34,385 - acbm.assigning - DEBUG - Activity 107452: sampling based on floor area\n", - "2024-05-14 18:29:34,387 - acbm.assigning - DEBUG - Activity 107455: Initial number of options for activity = 27\n", - "2024-05-14 18:29:34,390 - acbm.assigning - DEBUG - Activity 107455: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:34,390 - acbm.assigning - DEBUG - Activity 107455: sampling based on floor area\n", - "2024-05-14 18:29:34,391 - acbm.assigning - DEBUG - Activity 107468: Initial number of options for activity = 27\n", - "2024-05-14 18:29:34,394 - acbm.assigning - DEBUG - Activity 107468: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:34,394 - acbm.assigning - DEBUG - Activity 107468: sampling based on floor area\n", - "2024-05-14 18:29:34,396 - acbm.assigning - DEBUG - Activity 107481: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,397 - acbm.assigning - DEBUG - Activity 107481: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,398 - acbm.assigning - DEBUG - Activity 107481: sampling based on floor area\n", - "2024-05-14 18:29:34,399 - acbm.assigning - DEBUG - Activity 107487: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,402 - acbm.assigning - DEBUG - Activity 107487: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,403 - acbm.assigning - DEBUG - Activity 107487: sampling based on floor area\n", - "2024-05-14 18:29:34,405 - acbm.assigning - DEBUG - Activity 107489: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,407 - acbm.assigning - DEBUG - Activity 107489: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,408 - acbm.assigning - DEBUG - Activity 107489: sampling based on floor area\n", - "2024-05-14 18:29:34,410 - acbm.assigning - DEBUG - Activity 107544: Initial number of options for activity = 157\n", - "2024-05-14 18:29:34,413 - acbm.assigning - DEBUG - Activity 107544: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:34,414 - acbm.assigning - DEBUG - Activity 107544: sampling based on floor area\n", - "2024-05-14 18:29:34,415 - acbm.assigning - DEBUG - Activity 107546: Initial number of options for activity = 157\n", - "2024-05-14 18:29:34,418 - acbm.assigning - DEBUG - Activity 107546: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:34,419 - acbm.assigning - DEBUG - Activity 107546: sampling based on floor area\n", - "2024-05-14 18:29:34,420 - acbm.assigning - DEBUG - Activity 107548: Initial number of options for activity = 157\n", - "2024-05-14 18:29:34,423 - acbm.assigning - DEBUG - Activity 107548: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:34,423 - acbm.assigning - DEBUG - Activity 107548: sampling based on floor area\n", - "2024-05-14 18:29:34,425 - acbm.assigning - DEBUG - Activity 107550: Initial number of options for activity = 157\n", - "2024-05-14 18:29:34,427 - acbm.assigning - DEBUG - Activity 107550: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:34,428 - acbm.assigning - DEBUG - Activity 107550: sampling based on floor area\n", - "2024-05-14 18:29:34,433 - acbm.assigning - INFO - Activity 107565: No zones available\n", - "2024-05-14 18:29:34,434 - acbm.assigning - DEBUG - Activity 107638: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,436 - acbm.assigning - DEBUG - Activity 107638: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,437 - acbm.assigning - DEBUG - Activity 107638: sampling based on floor area\n", - "2024-05-14 18:29:34,439 - acbm.assigning - DEBUG - Activity 107640: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,442 - acbm.assigning - DEBUG - Activity 107640: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,443 - acbm.assigning - DEBUG - Activity 107640: sampling based on floor area\n", - "2024-05-14 18:29:34,444 - acbm.assigning - DEBUG - Activity 107642: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,446 - acbm.assigning - DEBUG - Activity 107642: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,447 - acbm.assigning - DEBUG - Activity 107642: sampling based on floor area\n", - "2024-05-14 18:29:34,449 - acbm.assigning - DEBUG - Activity 107644: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,451 - acbm.assigning - DEBUG - Activity 107644: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,453 - acbm.assigning - DEBUG - Activity 107644: sampling based on floor area\n", - "2024-05-14 18:29:34,454 - acbm.assigning - DEBUG - Activity 107646: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,456 - acbm.assigning - DEBUG - Activity 107646: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,456 - acbm.assigning - DEBUG - Activity 107646: sampling based on floor area\n", - "2024-05-14 18:29:34,457 - acbm.assigning - DEBUG - Activity 107749: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,460 - acbm.assigning - DEBUG - Activity 107749: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,460 - acbm.assigning - DEBUG - Activity 107749: sampling based on floor area\n", - "2024-05-14 18:29:34,462 - acbm.assigning - DEBUG - Activity 107751: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,465 - acbm.assigning - DEBUG - Activity 107751: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,466 - acbm.assigning - DEBUG - Activity 107751: sampling based on floor area\n", - "2024-05-14 18:29:34,467 - acbm.assigning - DEBUG - Activity 107753: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,469 - acbm.assigning - DEBUG - Activity 107753: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,471 - acbm.assigning - DEBUG - Activity 107753: sampling based on floor area\n", - "2024-05-14 18:29:34,472 - acbm.assigning - DEBUG - Activity 107986: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,474 - acbm.assigning - DEBUG - Activity 107986: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,475 - acbm.assigning - DEBUG - Activity 107986: sampling based on floor area\n", - "2024-05-14 18:29:34,477 - acbm.assigning - INFO - Activity 108439: No zones available\n", - "2024-05-14 18:29:34,478 - acbm.assigning - INFO - Activity 108440: No zones available\n", - "2024-05-14 18:29:34,478 - acbm.assigning - INFO - Activity 108443: No zones available\n", - "2024-05-14 18:29:34,479 - acbm.assigning - INFO - Activity 108450: No zones available\n", - "2024-05-14 18:29:34,479 - acbm.assigning - DEBUG - Activity 108604: Initial number of options for activity = 68\n", - "2024-05-14 18:29:34,482 - acbm.assigning - DEBUG - Activity 108604: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:34,484 - acbm.assigning - DEBUG - Activity 108604: sampling based on floor area\n", - "2024-05-14 18:29:34,486 - acbm.assigning - DEBUG - Activity 108608: Initial number of options for activity = 68\n", - "2024-05-14 18:29:34,489 - acbm.assigning - DEBUG - Activity 108608: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:34,490 - acbm.assigning - DEBUG - Activity 108608: sampling based on floor area\n", - "2024-05-14 18:29:34,492 - acbm.assigning - DEBUG - Activity 108610: Initial number of options for activity = 68\n", - "2024-05-14 18:29:34,495 - acbm.assigning - DEBUG - Activity 108610: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:34,496 - acbm.assigning - DEBUG - Activity 108610: sampling based on floor area\n", - "2024-05-14 18:29:34,498 - acbm.assigning - DEBUG - Activity 108612: Initial number of options for activity = 68\n", - "2024-05-14 18:29:34,501 - acbm.assigning - DEBUG - Activity 108612: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:34,502 - acbm.assigning - DEBUG - Activity 108612: sampling based on floor area\n", - "2024-05-14 18:29:34,504 - acbm.assigning - DEBUG - Activity 108614: Initial number of options for activity = 68\n", - "2024-05-14 18:29:34,507 - acbm.assigning - DEBUG - Activity 108614: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:34,509 - acbm.assigning - DEBUG - Activity 108614: sampling based on floor area\n", - "2024-05-14 18:29:34,513 - acbm.assigning - DEBUG - Activity 108621: Initial number of options for activity = 29\n", - "2024-05-14 18:29:34,516 - acbm.assigning - DEBUG - Activity 108621: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:34,517 - acbm.assigning - DEBUG - Activity 108621: sampling based on floor area\n", - "2024-05-14 18:29:34,518 - acbm.assigning - DEBUG - Activity 108626: Initial number of options for activity = 29\n", - "2024-05-14 18:29:34,521 - acbm.assigning - DEBUG - Activity 108626: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:34,522 - acbm.assigning - DEBUG - Activity 108626: sampling based on floor area\n", - "2024-05-14 18:29:34,525 - acbm.assigning - DEBUG - Activity 108629: Initial number of options for activity = 29\n", - "2024-05-14 18:29:34,527 - acbm.assigning - DEBUG - Activity 108629: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:34,527 - acbm.assigning - DEBUG - Activity 108629: sampling based on floor area\n", - "2024-05-14 18:29:34,529 - acbm.assigning - DEBUG - Activity 108632: Initial number of options for activity = 29\n", - "2024-05-14 18:29:34,531 - acbm.assigning - DEBUG - Activity 108632: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:34,532 - acbm.assigning - DEBUG - Activity 108632: sampling based on floor area\n", - "2024-05-14 18:29:34,534 - acbm.assigning - DEBUG - Activity 108635: Initial number of options for activity = 29\n", - "2024-05-14 18:29:34,536 - acbm.assigning - DEBUG - Activity 108635: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:34,536 - acbm.assigning - DEBUG - Activity 108635: sampling based on floor area\n", - "2024-05-14 18:29:34,538 - acbm.assigning - DEBUG - Activity 108745: Initial number of options for activity = 6\n", - "2024-05-14 18:29:34,540 - acbm.assigning - DEBUG - Activity 108745: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:34,541 - acbm.assigning - DEBUG - Activity 108745: sampling based on floor area\n", - "2024-05-14 18:29:34,543 - acbm.assigning - DEBUG - Activity 108746: Initial number of options for activity = 2\n", - "2024-05-14 18:29:34,545 - acbm.assigning - DEBUG - Activity 108746: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:34,546 - acbm.assigning - DEBUG - Activity 108746: sampling based on floor area\n", - "2024-05-14 18:29:34,548 - acbm.assigning - DEBUG - Activity 108748: Initial number of options for activity = 17\n", - "2024-05-14 18:29:34,552 - acbm.assigning - DEBUG - Activity 108748: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:34,554 - acbm.assigning - DEBUG - Activity 108748: sampling based on floor area\n", - "2024-05-14 18:29:34,556 - acbm.assigning - DEBUG - Activity 108749: Initial number of options for activity = 6\n", - "2024-05-14 18:29:34,559 - acbm.assigning - DEBUG - Activity 108749: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:34,561 - acbm.assigning - DEBUG - Activity 108749: sampling based on floor area\n", - "2024-05-14 18:29:34,563 - acbm.assigning - DEBUG - Activity 108751: Initial number of options for activity = 2\n", - "2024-05-14 18:29:34,565 - acbm.assigning - DEBUG - Activity 108751: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:34,566 - acbm.assigning - DEBUG - Activity 108751: sampling based on floor area\n", - "2024-05-14 18:29:34,568 - acbm.assigning - DEBUG - Activity 108795: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,571 - acbm.assigning - DEBUG - Activity 108795: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,572 - acbm.assigning - DEBUG - Activity 108795: sampling based on floor area\n", - "2024-05-14 18:29:34,573 - acbm.assigning - DEBUG - Activity 108796: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,576 - acbm.assigning - DEBUG - Activity 108796: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,577 - acbm.assigning - DEBUG - Activity 108796: sampling based on floor area\n", - "2024-05-14 18:29:34,579 - acbm.assigning - DEBUG - Activity 108797: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,582 - acbm.assigning - DEBUG - Activity 108797: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,583 - acbm.assigning - DEBUG - Activity 108797: sampling based on floor area\n", - "2024-05-14 18:29:34,585 - acbm.assigning - INFO - Activity 108800: No zones available\n", - "2024-05-14 18:29:34,586 - acbm.assigning - INFO - Activity 108881: No zones available\n", - "2024-05-14 18:29:34,586 - acbm.assigning - INFO - Activity 109051: No zones available\n", - "2024-05-14 18:29:34,587 - acbm.assigning - DEBUG - Activity 109055: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,589 - acbm.assigning - DEBUG - Activity 109055: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,590 - acbm.assigning - DEBUG - Activity 109055: sampling based on floor area\n", - "2024-05-14 18:29:34,592 - acbm.assigning - DEBUG - Activity 109056: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,594 - acbm.assigning - DEBUG - Activity 109056: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,595 - acbm.assigning - DEBUG - Activity 109056: sampling based on floor area\n", - "2024-05-14 18:29:34,596 - acbm.assigning - DEBUG - Activity 109059: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,599 - acbm.assigning - DEBUG - Activity 109059: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,600 - acbm.assigning - DEBUG - Activity 109059: sampling based on floor area\n", - "2024-05-14 18:29:34,601 - acbm.assigning - DEBUG - Activity 109061: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,604 - acbm.assigning - DEBUG - Activity 109061: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,605 - acbm.assigning - DEBUG - Activity 109061: sampling based on floor area\n", - "2024-05-14 18:29:34,606 - acbm.assigning - DEBUG - Activity 109063: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,609 - acbm.assigning - DEBUG - Activity 109063: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,610 - acbm.assigning - DEBUG - Activity 109063: sampling based on floor area\n", - "2024-05-14 18:29:34,611 - acbm.assigning - DEBUG - Activity 109387: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,613 - acbm.assigning - DEBUG - Activity 109387: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,614 - acbm.assigning - DEBUG - Activity 109387: sampling based on floor area\n", - "2024-05-14 18:29:34,615 - acbm.assigning - DEBUG - Activity 109388: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,618 - acbm.assigning - DEBUG - Activity 109388: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,620 - acbm.assigning - DEBUG - Activity 109388: sampling based on floor area\n", - "2024-05-14 18:29:34,622 - acbm.assigning - DEBUG - Activity 109389: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,624 - acbm.assigning - DEBUG - Activity 109389: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,625 - acbm.assigning - DEBUG - Activity 109389: sampling based on floor area\n", - "2024-05-14 18:29:34,626 - acbm.assigning - DEBUG - Activity 109396: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,629 - acbm.assigning - DEBUG - Activity 109396: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,630 - acbm.assigning - DEBUG - Activity 109396: sampling based on floor area\n", - "2024-05-14 18:29:34,631 - acbm.assigning - DEBUG - Activity 109397: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,633 - acbm.assigning - DEBUG - Activity 109397: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,634 - acbm.assigning - DEBUG - Activity 109397: sampling based on floor area\n", - "2024-05-14 18:29:34,636 - acbm.assigning - DEBUG - Activity 109605: Initial number of options for activity = 13\n", - "2024-05-14 18:29:34,641 - acbm.assigning - DEBUG - Activity 109605: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:34,642 - acbm.assigning - DEBUG - Activity 109605: sampling based on floor area\n", - "2024-05-14 18:29:34,644 - acbm.assigning - DEBUG - Activity 109609: Initial number of options for activity = 11\n", - "2024-05-14 18:29:34,647 - acbm.assigning - DEBUG - Activity 109609: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:34,648 - acbm.assigning - DEBUG - Activity 109609: sampling based on floor area\n", - "2024-05-14 18:29:34,650 - acbm.assigning - DEBUG - Activity 109610: Initial number of options for activity = 11\n", - "2024-05-14 18:29:34,655 - acbm.assigning - DEBUG - Activity 109610: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:34,656 - acbm.assigning - DEBUG - Activity 109610: sampling based on floor area\n", - "2024-05-14 18:29:34,658 - acbm.assigning - DEBUG - Activity 109611: Initial number of options for activity = 13\n", - "2024-05-14 18:29:34,663 - acbm.assigning - DEBUG - Activity 109611: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:34,664 - acbm.assigning - DEBUG - Activity 109611: sampling based on floor area\n", - "2024-05-14 18:29:34,666 - acbm.assigning - DEBUG - Activity 109612: Initial number of options for activity = 13\n", - "2024-05-14 18:29:34,670 - acbm.assigning - DEBUG - Activity 109612: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:34,671 - acbm.assigning - DEBUG - Activity 109612: sampling based on floor area\n", - "2024-05-14 18:29:34,673 - acbm.assigning - DEBUG - Activity 109665: Initial number of options for activity = 133\n", - "2024-05-14 18:29:34,676 - acbm.assigning - DEBUG - Activity 109665: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:34,678 - acbm.assigning - DEBUG - Activity 109665: sampling based on floor area\n", - "2024-05-14 18:29:34,680 - acbm.assigning - DEBUG - Activity 109667: Initial number of options for activity = 133\n", - "2024-05-14 18:29:34,683 - acbm.assigning - DEBUG - Activity 109667: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:34,684 - acbm.assigning - DEBUG - Activity 109667: sampling based on floor area\n", - "2024-05-14 18:29:34,688 - acbm.assigning - DEBUG - Activity 109669: Initial number of options for activity = 133\n", - "2024-05-14 18:29:34,692 - acbm.assigning - DEBUG - Activity 109669: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:34,693 - acbm.assigning - DEBUG - Activity 109669: sampling based on floor area\n", - "2024-05-14 18:29:34,696 - acbm.assigning - DEBUG - Activity 109671: Initial number of options for activity = 133\n", - "2024-05-14 18:29:34,702 - acbm.assigning - DEBUG - Activity 109671: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:34,703 - acbm.assigning - DEBUG - Activity 109671: sampling based on floor area\n", - "2024-05-14 18:29:34,705 - acbm.assigning - DEBUG - Activity 109673: Initial number of options for activity = 133\n", - "2024-05-14 18:29:34,710 - acbm.assigning - DEBUG - Activity 109673: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:34,711 - acbm.assigning - DEBUG - Activity 109673: sampling based on floor area\n", - "2024-05-14 18:29:34,713 - acbm.assigning - DEBUG - Activity 109679: Initial number of options for activity = 49\n", - "2024-05-14 18:29:34,718 - acbm.assigning - DEBUG - Activity 109679: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:34,719 - acbm.assigning - DEBUG - Activity 109679: sampling based on floor area\n", - "2024-05-14 18:29:34,721 - acbm.assigning - DEBUG - Activity 109681: Initial number of options for activity = 49\n", - "2024-05-14 18:29:34,725 - acbm.assigning - DEBUG - Activity 109681: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:34,726 - acbm.assigning - DEBUG - Activity 109681: sampling based on floor area\n", - "2024-05-14 18:29:34,727 - acbm.assigning - DEBUG - Activity 109683: Initial number of options for activity = 49\n", - "2024-05-14 18:29:34,730 - acbm.assigning - DEBUG - Activity 109683: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:34,731 - acbm.assigning - DEBUG - Activity 109683: sampling based on floor area\n", - "2024-05-14 18:29:34,733 - acbm.assigning - DEBUG - Activity 109685: Initial number of options for activity = 49\n", - "2024-05-14 18:29:34,735 - acbm.assigning - DEBUG - Activity 109685: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:34,736 - acbm.assigning - DEBUG - Activity 109685: sampling based on floor area\n", - "2024-05-14 18:29:34,738 - acbm.assigning - DEBUG - Activity 109929: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,741 - acbm.assigning - DEBUG - Activity 109929: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,742 - acbm.assigning - DEBUG - Activity 109929: sampling based on floor area\n", - "2024-05-14 18:29:34,745 - acbm.assigning - DEBUG - Activity 109932: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,748 - acbm.assigning - DEBUG - Activity 109932: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,750 - acbm.assigning - DEBUG - Activity 109932: sampling based on floor area\n", - "2024-05-14 18:29:34,752 - acbm.assigning - DEBUG - Activity 109957: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,755 - acbm.assigning - DEBUG - Activity 109957: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,756 - acbm.assigning - DEBUG - Activity 109957: sampling based on floor area\n", - "2024-05-14 18:29:34,757 - acbm.assigning - DEBUG - Activity 109959: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,760 - acbm.assigning - DEBUG - Activity 109959: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,762 - acbm.assigning - DEBUG - Activity 109959: sampling based on floor area\n", - "2024-05-14 18:29:34,763 - acbm.assigning - INFO - Activity 110018: No zones available\n", - "2024-05-14 18:29:34,764 - acbm.assigning - INFO - Activity 110074: No zones available\n", - "2024-05-14 18:29:34,765 - acbm.assigning - INFO - Activity 110079: No zones available\n", - "2024-05-14 18:29:34,766 - acbm.assigning - INFO - Activity 110085: No zones available\n", - "2024-05-14 18:29:34,766 - acbm.assigning - INFO - Activity 110088: No zones available\n", - "2024-05-14 18:29:34,767 - acbm.assigning - INFO - Activity 110094: No zones available\n", - "2024-05-14 18:29:34,768 - acbm.assigning - DEBUG - Activity 110201: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,770 - acbm.assigning - DEBUG - Activity 110201: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,772 - acbm.assigning - DEBUG - Activity 110201: sampling based on floor area\n", - "2024-05-14 18:29:34,774 - acbm.assigning - DEBUG - Activity 110209: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,776 - acbm.assigning - DEBUG - Activity 110209: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,778 - acbm.assigning - DEBUG - Activity 110209: sampling based on floor area\n", - "2024-05-14 18:29:34,780 - acbm.assigning - DEBUG - Activity 110211: Initial number of options for activity = 4\n", - "2024-05-14 18:29:34,783 - acbm.assigning - DEBUG - Activity 110211: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:34,784 - acbm.assigning - DEBUG - Activity 110211: sampling based on floor area\n", - "2024-05-14 18:29:34,786 - acbm.assigning - DEBUG - Activity 110218: Initial number of options for activity = 10\n", - "2024-05-14 18:29:34,788 - acbm.assigning - DEBUG - Activity 110218: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:34,789 - acbm.assigning - DEBUG - Activity 110218: sampling based on floor area\n", - "2024-05-14 18:29:34,791 - acbm.assigning - DEBUG - Activity 110238: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,794 - acbm.assigning - DEBUG - Activity 110238: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,795 - acbm.assigning - DEBUG - Activity 110238: sampling based on floor area\n", - "2024-05-14 18:29:34,796 - acbm.assigning - DEBUG - Activity 110240: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,799 - acbm.assigning - DEBUG - Activity 110240: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,800 - acbm.assigning - DEBUG - Activity 110240: sampling based on floor area\n", - "2024-05-14 18:29:34,802 - acbm.assigning - DEBUG - Activity 110244: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,804 - acbm.assigning - DEBUG - Activity 110244: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,805 - acbm.assigning - DEBUG - Activity 110244: sampling based on floor area\n", - "2024-05-14 18:29:34,806 - acbm.assigning - DEBUG - Activity 110246: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,809 - acbm.assigning - DEBUG - Activity 110246: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,810 - acbm.assigning - DEBUG - Activity 110246: sampling based on floor area\n", - "2024-05-14 18:29:34,812 - acbm.assigning - DEBUG - Activity 110248: Initial number of options for activity = 3\n", - "2024-05-14 18:29:34,814 - acbm.assigning - DEBUG - Activity 110248: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:34,815 - acbm.assigning - DEBUG - Activity 110248: sampling based on floor area\n", - "2024-05-14 18:29:34,817 - acbm.assigning - DEBUG - Activity 110355: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,819 - acbm.assigning - DEBUG - Activity 110355: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,820 - acbm.assigning - DEBUG - Activity 110355: sampling based on floor area\n", - "2024-05-14 18:29:34,821 - acbm.assigning - DEBUG - Activity 110357: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,824 - acbm.assigning - DEBUG - Activity 110357: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,824 - acbm.assigning - DEBUG - Activity 110357: sampling based on floor area\n", - "2024-05-14 18:29:34,825 - acbm.assigning - DEBUG - Activity 110359: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,828 - acbm.assigning - DEBUG - Activity 110359: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,836 - acbm.assigning - DEBUG - Activity 110359: sampling based on floor area\n", - "2024-05-14 18:29:34,839 - acbm.assigning - DEBUG - Activity 110363: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,842 - acbm.assigning - DEBUG - Activity 110363: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,843 - acbm.assigning - DEBUG - Activity 110363: sampling based on floor area\n", - "2024-05-14 18:29:34,844 - acbm.assigning - DEBUG - Activity 110365: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,847 - acbm.assigning - DEBUG - Activity 110365: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,848 - acbm.assigning - DEBUG - Activity 110365: sampling based on floor area\n", - "2024-05-14 18:29:34,849 - acbm.assigning - DEBUG - Activity 110367: Initial number of options for activity = 5\n", - "2024-05-14 18:29:34,851 - acbm.assigning - DEBUG - Activity 110367: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:34,852 - acbm.assigning - DEBUG - Activity 110367: sampling based on floor area\n", - "2024-05-14 18:29:34,853 - acbm.assigning - DEBUG - Activity 110579: Initial number of options for activity = 43\n", - "2024-05-14 18:29:34,856 - acbm.assigning - DEBUG - Activity 110579: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:34,856 - acbm.assigning - DEBUG - Activity 110579: sampling based on floor area\n", - "2024-05-14 18:29:34,857 - acbm.assigning - DEBUG - Activity 110581: Initial number of options for activity = 219\n", - "2024-05-14 18:29:34,859 - acbm.assigning - DEBUG - Activity 110581: Number of options after filtering by education type: 219\n", - "2024-05-14 18:29:34,861 - acbm.assigning - DEBUG - Activity 110581: sampling based on floor area\n", - "2024-05-14 18:29:34,862 - acbm.assigning - DEBUG - Activity 110594: Initial number of options for activity = 23\n", - "2024-05-14 18:29:34,865 - acbm.assigning - DEBUG - Activity 110594: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:34,866 - acbm.assigning - DEBUG - Activity 110594: sampling based on floor area\n", - "2024-05-14 18:29:34,867 - acbm.assigning - DEBUG - Activity 110596: Initial number of options for activity = 75\n", - "2024-05-14 18:29:34,870 - acbm.assigning - DEBUG - Activity 110596: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:34,871 - acbm.assigning - DEBUG - Activity 110596: sampling based on floor area\n", - "2024-05-14 18:29:34,872 - acbm.assigning - DEBUG - Activity 110749: Initial number of options for activity = 56\n", - "2024-05-14 18:29:34,874 - acbm.assigning - DEBUG - Activity 110749: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:34,875 - acbm.assigning - DEBUG - Activity 110749: sampling based on floor area\n", - "2024-05-14 18:29:34,876 - acbm.assigning - DEBUG - Activity 110751: Initial number of options for activity = 56\n", - "2024-05-14 18:29:34,878 - acbm.assigning - DEBUG - Activity 110751: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:34,879 - acbm.assigning - DEBUG - Activity 110751: sampling based on floor area\n", - "2024-05-14 18:29:34,880 - acbm.assigning - DEBUG - Activity 110753: Initial number of options for activity = 56\n", - "2024-05-14 18:29:34,881 - acbm.assigning - DEBUG - Activity 110753: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:34,883 - acbm.assigning - DEBUG - Activity 110753: sampling based on floor area\n", - "2024-05-14 18:29:34,885 - acbm.assigning - DEBUG - Activity 110755: Initial number of options for activity = 56\n", - "2024-05-14 18:29:34,889 - acbm.assigning - DEBUG - Activity 110755: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:34,890 - acbm.assigning - DEBUG - Activity 110755: sampling based on floor area\n", - "2024-05-14 18:29:34,891 - acbm.assigning - DEBUG - Activity 111123: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,894 - acbm.assigning - DEBUG - Activity 111123: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,895 - acbm.assigning - DEBUG - Activity 111123: sampling based on floor area\n", - "2024-05-14 18:29:34,896 - acbm.assigning - DEBUG - Activity 111126: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,898 - acbm.assigning - DEBUG - Activity 111126: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,899 - acbm.assigning - DEBUG - Activity 111126: sampling based on floor area\n", - "2024-05-14 18:29:34,901 - acbm.assigning - INFO - Activity 111197: No zones available\n", - "2024-05-14 18:29:34,901 - acbm.assigning - DEBUG - Activity 111465: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,903 - acbm.assigning - DEBUG - Activity 111465: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,904 - acbm.assigning - DEBUG - Activity 111465: sampling based on floor area\n", - "2024-05-14 18:29:34,905 - acbm.assigning - DEBUG - Activity 111466: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,907 - acbm.assigning - DEBUG - Activity 111466: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,908 - acbm.assigning - DEBUG - Activity 111466: sampling based on floor area\n", - "2024-05-14 18:29:34,909 - acbm.assigning - DEBUG - Activity 111467: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,911 - acbm.assigning - DEBUG - Activity 111467: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,911 - acbm.assigning - DEBUG - Activity 111467: sampling based on floor area\n", - "2024-05-14 18:29:34,913 - acbm.assigning - DEBUG - Activity 111469: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,915 - acbm.assigning - DEBUG - Activity 111469: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,915 - acbm.assigning - DEBUG - Activity 111469: sampling based on floor area\n", - "2024-05-14 18:29:34,917 - acbm.assigning - DEBUG - Activity 111470: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,920 - acbm.assigning - DEBUG - Activity 111470: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,921 - acbm.assigning - DEBUG - Activity 111470: sampling based on floor area\n", - "2024-05-14 18:29:34,922 - acbm.assigning - DEBUG - Activity 111474: Initial number of options for activity = 88\n", - "2024-05-14 18:29:34,926 - acbm.assigning - DEBUG - Activity 111474: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:34,926 - acbm.assigning - DEBUG - Activity 111474: sampling based on floor area\n", - "2024-05-14 18:29:34,928 - acbm.assigning - INFO - Activity 111570: No zones available\n", - "2024-05-14 18:29:34,929 - acbm.assigning - INFO - Activity 112195: No zones available\n", - "2024-05-14 18:29:34,929 - acbm.assigning - DEBUG - Activity 112354: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,931 - acbm.assigning - DEBUG - Activity 112354: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,932 - acbm.assigning - DEBUG - Activity 112354: sampling based on floor area\n", - "2024-05-14 18:29:34,933 - acbm.assigning - DEBUG - Activity 112356: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,935 - acbm.assigning - DEBUG - Activity 112356: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,946 - acbm.assigning - DEBUG - Activity 112356: sampling based on floor area\n", - "2024-05-14 18:29:34,948 - acbm.assigning - DEBUG - Activity 112360: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,950 - acbm.assigning - DEBUG - Activity 112360: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,952 - acbm.assigning - DEBUG - Activity 112360: sampling based on floor area\n", - "2024-05-14 18:29:34,953 - acbm.assigning - DEBUG - Activity 112362: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,956 - acbm.assigning - DEBUG - Activity 112362: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,957 - acbm.assigning - DEBUG - Activity 112362: sampling based on floor area\n", - "2024-05-14 18:29:34,959 - acbm.assigning - INFO - Activity 112601: No zones available\n", - "2024-05-14 18:29:34,959 - acbm.assigning - INFO - Activity 112603: No zones available\n", - "2024-05-14 18:29:34,960 - acbm.assigning - INFO - Activity 112605: No zones available\n", - "2024-05-14 18:29:34,961 - acbm.assigning - INFO - Activity 112607: No zones available\n", - "2024-05-14 18:29:34,961 - acbm.assigning - INFO - Activity 112611: No zones available\n", - "2024-05-14 18:29:34,962 - acbm.assigning - INFO - Activity 112613: No zones available\n", - "2024-05-14 18:29:34,963 - acbm.assigning - INFO - Activity 112619: No zones available\n", - "2024-05-14 18:29:34,963 - acbm.assigning - INFO - Activity 112621: No zones available\n", - "2024-05-14 18:29:34,964 - acbm.assigning - INFO - Activity 112625: No zones available\n", - "2024-05-14 18:29:34,965 - acbm.assigning - INFO - Activity 112627: No zones available\n", - "2024-05-14 18:29:34,966 - acbm.assigning - DEBUG - Activity 112811: Initial number of options for activity = 44\n", - "2024-05-14 18:29:34,969 - acbm.assigning - DEBUG - Activity 112811: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:34,970 - acbm.assigning - DEBUG - Activity 112811: sampling based on floor area\n", - "2024-05-14 18:29:34,971 - acbm.assigning - DEBUG - Activity 112813: Initial number of options for activity = 44\n", - "2024-05-14 18:29:34,973 - acbm.assigning - DEBUG - Activity 112813: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:34,974 - acbm.assigning - DEBUG - Activity 112813: sampling based on floor area\n", - "2024-05-14 18:29:34,975 - acbm.assigning - DEBUG - Activity 112815: Initial number of options for activity = 44\n", - "2024-05-14 18:29:34,978 - acbm.assigning - DEBUG - Activity 112815: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:34,979 - acbm.assigning - DEBUG - Activity 112815: sampling based on floor area\n", - "2024-05-14 18:29:34,981 - acbm.assigning - DEBUG - Activity 112817: Initial number of options for activity = 44\n", - "2024-05-14 18:29:34,983 - acbm.assigning - DEBUG - Activity 112817: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:34,984 - acbm.assigning - DEBUG - Activity 112817: sampling based on floor area\n", - "2024-05-14 18:29:34,985 - acbm.assigning - INFO - Activity 112943: No zones available\n", - "2024-05-14 18:29:34,986 - acbm.assigning - DEBUG - Activity 113157: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,988 - acbm.assigning - DEBUG - Activity 113157: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,989 - acbm.assigning - DEBUG - Activity 113157: sampling based on floor area\n", - "2024-05-14 18:29:34,990 - acbm.assigning - DEBUG - Activity 113158: Initial number of options for activity = 1\n", - "2024-05-14 18:29:34,992 - acbm.assigning - DEBUG - Activity 113158: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:34,993 - acbm.assigning - DEBUG - Activity 113158: sampling based on floor area\n", - "2024-05-14 18:29:34,996 - acbm.assigning - DEBUG - Activity 113160: Initial number of options for activity = 2\n", - "2024-05-14 18:29:34,999 - acbm.assigning - DEBUG - Activity 113160: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:35,001 - acbm.assigning - DEBUG - Activity 113160: sampling based on floor area\n", - "2024-05-14 18:29:35,002 - acbm.assigning - DEBUG - Activity 113161: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,005 - acbm.assigning - DEBUG - Activity 113161: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,006 - acbm.assigning - DEBUG - Activity 113161: sampling based on floor area\n", - "2024-05-14 18:29:35,007 - acbm.assigning - DEBUG - Activity 113163: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,009 - acbm.assigning - DEBUG - Activity 113163: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,010 - acbm.assigning - DEBUG - Activity 113163: sampling based on floor area\n", - "2024-05-14 18:29:35,011 - acbm.assigning - DEBUG - Activity 113363: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,013 - acbm.assigning - DEBUG - Activity 113363: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,013 - acbm.assigning - DEBUG - Activity 113363: sampling based on floor area\n", - "2024-05-14 18:29:35,014 - acbm.assigning - DEBUG - Activity 113365: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,016 - acbm.assigning - DEBUG - Activity 113365: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,016 - acbm.assigning - DEBUG - Activity 113365: sampling based on floor area\n", - "2024-05-14 18:29:35,018 - acbm.assigning - DEBUG - Activity 113367: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,019 - acbm.assigning - DEBUG - Activity 113367: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,020 - acbm.assigning - DEBUG - Activity 113367: sampling based on floor area\n", - "2024-05-14 18:29:35,021 - acbm.assigning - DEBUG - Activity 113369: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,022 - acbm.assigning - DEBUG - Activity 113369: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,023 - acbm.assigning - DEBUG - Activity 113369: sampling based on floor area\n", - "2024-05-14 18:29:35,024 - acbm.assigning - DEBUG - Activity 113494: Initial number of options for activity = 125\n", - "2024-05-14 18:29:35,027 - acbm.assigning - DEBUG - Activity 113494: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:35,027 - acbm.assigning - DEBUG - Activity 113494: sampling based on floor area\n", - "2024-05-14 18:29:35,029 - acbm.assigning - DEBUG - Activity 113496: Initial number of options for activity = 125\n", - "2024-05-14 18:29:35,031 - acbm.assigning - DEBUG - Activity 113496: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:35,032 - acbm.assigning - DEBUG - Activity 113496: sampling based on floor area\n", - "2024-05-14 18:29:35,033 - acbm.assigning - DEBUG - Activity 113500: Initial number of options for activity = 125\n", - "2024-05-14 18:29:35,035 - acbm.assigning - DEBUG - Activity 113500: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:35,036 - acbm.assigning - DEBUG - Activity 113500: sampling based on floor area\n", - "2024-05-14 18:29:35,037 - acbm.assigning - DEBUG - Activity 113502: Initial number of options for activity = 125\n", - "2024-05-14 18:29:35,039 - acbm.assigning - DEBUG - Activity 113502: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:35,040 - acbm.assigning - DEBUG - Activity 113502: sampling based on floor area\n", - "2024-05-14 18:29:35,041 - acbm.assigning - DEBUG - Activity 113504: Initial number of options for activity = 125\n", - "2024-05-14 18:29:35,044 - acbm.assigning - DEBUG - Activity 113504: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:35,049 - acbm.assigning - DEBUG - Activity 113504: sampling based on floor area\n", - "2024-05-14 18:29:35,051 - acbm.assigning - INFO - Activity 113509: No zones available\n", - "2024-05-14 18:29:35,052 - acbm.assigning - DEBUG - Activity 113517: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,055 - acbm.assigning - DEBUG - Activity 113517: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,056 - acbm.assigning - DEBUG - Activity 113517: sampling based on floor area\n", - "2024-05-14 18:29:35,058 - acbm.assigning - DEBUG - Activity 113520: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,060 - acbm.assigning - DEBUG - Activity 113520: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,061 - acbm.assigning - DEBUG - Activity 113520: sampling based on floor area\n", - "2024-05-14 18:29:35,062 - acbm.assigning - DEBUG - Activity 113524: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,064 - acbm.assigning - DEBUG - Activity 113524: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,064 - acbm.assigning - DEBUG - Activity 113524: sampling based on floor area\n", - "2024-05-14 18:29:35,066 - acbm.assigning - DEBUG - Activity 113639: Initial number of options for activity = 130\n", - "2024-05-14 18:29:35,068 - acbm.assigning - DEBUG - Activity 113639: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:35,069 - acbm.assigning - DEBUG - Activity 113639: sampling based on floor area\n", - "2024-05-14 18:29:35,070 - acbm.assigning - DEBUG - Activity 113641: Initial number of options for activity = 48\n", - "2024-05-14 18:29:35,072 - acbm.assigning - DEBUG - Activity 113641: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:35,073 - acbm.assigning - DEBUG - Activity 113641: sampling based on floor area\n", - "2024-05-14 18:29:35,074 - acbm.assigning - DEBUG - Activity 113645: Initial number of options for activity = 41\n", - "2024-05-14 18:29:35,076 - acbm.assigning - DEBUG - Activity 113645: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:35,077 - acbm.assigning - DEBUG - Activity 113645: sampling based on floor area\n", - "2024-05-14 18:29:35,078 - acbm.assigning - DEBUG - Activity 113646: Initial number of options for activity = 171\n", - "2024-05-14 18:29:35,080 - acbm.assigning - DEBUG - Activity 113646: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:35,081 - acbm.assigning - DEBUG - Activity 113646: sampling based on floor area\n", - "2024-05-14 18:29:35,082 - acbm.assigning - DEBUG - Activity 113651: Initial number of options for activity = 180\n", - "2024-05-14 18:29:35,084 - acbm.assigning - DEBUG - Activity 113651: Number of options after filtering by education type: 180\n", - "2024-05-14 18:29:35,086 - acbm.assigning - DEBUG - Activity 113651: sampling based on floor area\n", - "2024-05-14 18:29:35,087 - acbm.assigning - DEBUG - Activity 113670: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,089 - acbm.assigning - DEBUG - Activity 113670: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,089 - acbm.assigning - DEBUG - Activity 113670: sampling based on floor area\n", - "2024-05-14 18:29:35,091 - acbm.assigning - DEBUG - Activity 113685: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,093 - acbm.assigning - DEBUG - Activity 113685: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,094 - acbm.assigning - DEBUG - Activity 113685: sampling based on floor area\n", - "2024-05-14 18:29:35,096 - acbm.assigning - DEBUG - Activity 113687: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,097 - acbm.assigning - DEBUG - Activity 113687: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,098 - acbm.assigning - DEBUG - Activity 113687: sampling based on floor area\n", - "2024-05-14 18:29:35,099 - acbm.assigning - DEBUG - Activity 113689: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,100 - acbm.assigning - DEBUG - Activity 113689: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,101 - acbm.assigning - DEBUG - Activity 113689: sampling based on floor area\n", - "2024-05-14 18:29:35,102 - acbm.assigning - DEBUG - Activity 113691: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,104 - acbm.assigning - DEBUG - Activity 113691: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,105 - acbm.assigning - DEBUG - Activity 113691: sampling based on floor area\n", - "2024-05-14 18:29:35,106 - acbm.assigning - DEBUG - Activity 113693: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,108 - acbm.assigning - DEBUG - Activity 113693: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,109 - acbm.assigning - DEBUG - Activity 113693: sampling based on floor area\n", - "2024-05-14 18:29:35,110 - acbm.assigning - DEBUG - Activity 113771: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,112 - acbm.assigning - DEBUG - Activity 113771: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,112 - acbm.assigning - DEBUG - Activity 113771: sampling based on floor area\n", - "2024-05-14 18:29:35,114 - acbm.assigning - DEBUG - Activity 113775: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,116 - acbm.assigning - DEBUG - Activity 113775: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,117 - acbm.assigning - DEBUG - Activity 113775: sampling based on floor area\n", - "2024-05-14 18:29:35,118 - acbm.assigning - DEBUG - Activity 113982: Initial number of options for activity = 123\n", - "2024-05-14 18:29:35,120 - acbm.assigning - DEBUG - Activity 113982: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:35,121 - acbm.assigning - DEBUG - Activity 113982: sampling based on floor area\n", - "2024-05-14 18:29:35,122 - acbm.assigning - DEBUG - Activity 113984: Initial number of options for activity = 123\n", - "2024-05-14 18:29:35,123 - acbm.assigning - DEBUG - Activity 113984: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:35,124 - acbm.assigning - DEBUG - Activity 113984: sampling based on floor area\n", - "2024-05-14 18:29:35,125 - acbm.assigning - DEBUG - Activity 113986: Initial number of options for activity = 123\n", - "2024-05-14 18:29:35,128 - acbm.assigning - DEBUG - Activity 113986: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:35,128 - acbm.assigning - DEBUG - Activity 113986: sampling based on floor area\n", - "2024-05-14 18:29:35,130 - acbm.assigning - DEBUG - Activity 113988: Initial number of options for activity = 123\n", - "2024-05-14 18:29:35,131 - acbm.assigning - DEBUG - Activity 113988: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:35,132 - acbm.assigning - DEBUG - Activity 113988: sampling based on floor area\n", - "2024-05-14 18:29:35,133 - acbm.assigning - DEBUG - Activity 114048: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,135 - acbm.assigning - DEBUG - Activity 114048: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,135 - acbm.assigning - DEBUG - Activity 114048: sampling based on floor area\n", - "2024-05-14 18:29:35,137 - acbm.assigning - DEBUG - Activity 114050: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,139 - acbm.assigning - DEBUG - Activity 114050: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,139 - acbm.assigning - DEBUG - Activity 114050: sampling based on floor area\n", - "2024-05-14 18:29:35,140 - acbm.assigning - DEBUG - Activity 114054: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,142 - acbm.assigning - DEBUG - Activity 114054: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,143 - acbm.assigning - DEBUG - Activity 114054: sampling based on floor area\n", - "2024-05-14 18:29:35,144 - acbm.assigning - DEBUG - Activity 114056: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,146 - acbm.assigning - DEBUG - Activity 114056: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,147 - acbm.assigning - DEBUG - Activity 114056: sampling based on floor area\n", - "2024-05-14 18:29:35,148 - acbm.assigning - DEBUG - Activity 114058: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,150 - acbm.assigning - DEBUG - Activity 114058: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,151 - acbm.assigning - DEBUG - Activity 114058: sampling based on floor area\n", - "2024-05-14 18:29:35,152 - acbm.assigning - DEBUG - Activity 114442: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,153 - acbm.assigning - DEBUG - Activity 114442: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,154 - acbm.assigning - DEBUG - Activity 114442: sampling based on floor area\n", - "2024-05-14 18:29:35,155 - acbm.assigning - DEBUG - Activity 114536: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,157 - acbm.assigning - DEBUG - Activity 114536: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,158 - acbm.assigning - DEBUG - Activity 114536: sampling based on floor area\n", - "2024-05-14 18:29:35,159 - acbm.assigning - DEBUG - Activity 114666: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,161 - acbm.assigning - DEBUG - Activity 114666: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,162 - acbm.assigning - DEBUG - Activity 114666: sampling based on floor area\n", - "2024-05-14 18:29:35,163 - acbm.assigning - DEBUG - Activity 114671: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,164 - acbm.assigning - DEBUG - Activity 114671: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,165 - acbm.assigning - DEBUG - Activity 114671: sampling based on floor area\n", - "2024-05-14 18:29:35,166 - acbm.assigning - DEBUG - Activity 114678: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,167 - acbm.assigning - DEBUG - Activity 114678: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,168 - acbm.assigning - DEBUG - Activity 114678: sampling based on floor area\n", - "2024-05-14 18:29:35,169 - acbm.assigning - DEBUG - Activity 114680: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,171 - acbm.assigning - DEBUG - Activity 114680: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,171 - acbm.assigning - DEBUG - Activity 114680: sampling based on floor area\n", - "2024-05-14 18:29:35,172 - acbm.assigning - DEBUG - Activity 114682: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,174 - acbm.assigning - DEBUG - Activity 114682: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,174 - acbm.assigning - DEBUG - Activity 114682: sampling based on floor area\n", - "2024-05-14 18:29:35,176 - acbm.assigning - DEBUG - Activity 114684: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,179 - acbm.assigning - DEBUG - Activity 114684: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,179 - acbm.assigning - DEBUG - Activity 114684: sampling based on floor area\n", - "2024-05-14 18:29:35,181 - acbm.assigning - DEBUG - Activity 114769: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,183 - acbm.assigning - DEBUG - Activity 114769: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,184 - acbm.assigning - DEBUG - Activity 114769: sampling based on floor area\n", - "2024-05-14 18:29:35,186 - acbm.assigning - DEBUG - Activity 114783: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,189 - acbm.assigning - DEBUG - Activity 114783: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,190 - acbm.assigning - DEBUG - Activity 114783: sampling based on floor area\n", - "2024-05-14 18:29:35,192 - acbm.assigning - DEBUG - Activity 114795: Initial number of options for activity = 2\n", - "2024-05-14 18:29:35,194 - acbm.assigning - DEBUG - Activity 114795: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:35,196 - acbm.assigning - DEBUG - Activity 114795: sampling based on floor area\n", - "2024-05-14 18:29:35,197 - acbm.assigning - DEBUG - Activity 114796: Initial number of options for activity = 2\n", - "2024-05-14 18:29:35,199 - acbm.assigning - DEBUG - Activity 114796: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:35,200 - acbm.assigning - DEBUG - Activity 114796: sampling based on floor area\n", - "2024-05-14 18:29:35,201 - acbm.assigning - DEBUG - Activity 114802: Initial number of options for activity = 2\n", - "2024-05-14 18:29:35,203 - acbm.assigning - DEBUG - Activity 114802: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:35,204 - acbm.assigning - DEBUG - Activity 114802: sampling based on floor area\n", - "2024-05-14 18:29:35,205 - acbm.assigning - DEBUG - Activity 114803: Initial number of options for activity = 2\n", - "2024-05-14 18:29:35,206 - acbm.assigning - DEBUG - Activity 114803: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:35,207 - acbm.assigning - DEBUG - Activity 114803: sampling based on floor area\n", - "2024-05-14 18:29:35,208 - acbm.assigning - INFO - Activity 114881: No zones available\n", - "2024-05-14 18:29:35,208 - acbm.assigning - DEBUG - Activity 114966: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,210 - acbm.assigning - DEBUG - Activity 114966: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,212 - acbm.assigning - DEBUG - Activity 114966: sampling based on floor area\n", - "2024-05-14 18:29:35,213 - acbm.assigning - DEBUG - Activity 114967: Initial number of options for activity = 34\n", - "2024-05-14 18:29:35,216 - acbm.assigning - DEBUG - Activity 114967: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:35,217 - acbm.assigning - DEBUG - Activity 114967: sampling based on floor area\n", - "2024-05-14 18:29:35,219 - acbm.assigning - INFO - Activity 114975: No zones available\n", - "2024-05-14 18:29:35,219 - acbm.assigning - INFO - Activity 114979: No zones available\n", - "2024-05-14 18:29:35,220 - acbm.assigning - INFO - Activity 114983: No zones available\n", - "2024-05-14 18:29:35,220 - acbm.assigning - INFO - Activity 114984: No zones available\n", - "2024-05-14 18:29:35,221 - acbm.assigning - INFO - Activity 114986: No zones available\n", - "2024-05-14 18:29:35,227 - acbm.assigning - DEBUG - Activity 114993: Initial number of options for activity = 52\n", - "2024-05-14 18:29:35,234 - acbm.assigning - DEBUG - Activity 114993: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:35,235 - acbm.assigning - DEBUG - Activity 114993: sampling based on floor area\n", - "2024-05-14 18:29:35,236 - acbm.assigning - DEBUG - Activity 114996: Initial number of options for activity = 52\n", - "2024-05-14 18:29:35,240 - acbm.assigning - DEBUG - Activity 114996: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:35,241 - acbm.assigning - DEBUG - Activity 114996: sampling based on floor area\n", - "2024-05-14 18:29:35,242 - acbm.assigning - DEBUG - Activity 114999: Initial number of options for activity = 55\n", - "2024-05-14 18:29:35,244 - acbm.assigning - DEBUG - Activity 114999: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:35,245 - acbm.assigning - DEBUG - Activity 114999: sampling based on floor area\n", - "2024-05-14 18:29:35,246 - acbm.assigning - DEBUG - Activity 115000: Initial number of options for activity = 55\n", - "2024-05-14 18:29:35,248 - acbm.assigning - DEBUG - Activity 115000: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:35,249 - acbm.assigning - DEBUG - Activity 115000: sampling based on floor area\n", - "2024-05-14 18:29:35,250 - acbm.assigning - DEBUG - Activity 115001: Initial number of options for activity = 52\n", - "2024-05-14 18:29:35,251 - acbm.assigning - DEBUG - Activity 115001: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:35,252 - acbm.assigning - DEBUG - Activity 115001: sampling based on floor area\n", - "2024-05-14 18:29:35,253 - acbm.assigning - DEBUG - Activity 115092: Initial number of options for activity = 51\n", - "2024-05-14 18:29:35,254 - acbm.assigning - DEBUG - Activity 115092: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:35,255 - acbm.assigning - DEBUG - Activity 115092: sampling based on floor area\n", - "2024-05-14 18:29:35,256 - acbm.assigning - DEBUG - Activity 115094: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,257 - acbm.assigning - DEBUG - Activity 115094: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,257 - acbm.assigning - DEBUG - Activity 115094: sampling based on floor area\n", - "2024-05-14 18:29:35,258 - acbm.assigning - DEBUG - Activity 115113: Initial number of options for activity = 10\n", - "2024-05-14 18:29:35,260 - acbm.assigning - DEBUG - Activity 115113: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:35,261 - acbm.assigning - DEBUG - Activity 115113: sampling based on floor area\n", - "2024-05-14 18:29:35,262 - acbm.assigning - DEBUG - Activity 115115: Initial number of options for activity = 45\n", - "2024-05-14 18:29:35,263 - acbm.assigning - DEBUG - Activity 115115: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:35,264 - acbm.assigning - DEBUG - Activity 115115: sampling based on floor area\n", - "2024-05-14 18:29:35,265 - acbm.assigning - DEBUG - Activity 115118: Initial number of options for activity = 45\n", - "2024-05-14 18:29:35,266 - acbm.assigning - DEBUG - Activity 115118: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:35,267 - acbm.assigning - DEBUG - Activity 115118: sampling based on floor area\n", - "2024-05-14 18:29:35,268 - acbm.assigning - DEBUG - Activity 115154: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,270 - acbm.assigning - DEBUG - Activity 115154: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,271 - acbm.assigning - DEBUG - Activity 115154: sampling based on floor area\n", - "2024-05-14 18:29:35,272 - acbm.assigning - DEBUG - Activity 115158: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,274 - acbm.assigning - DEBUG - Activity 115158: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,275 - acbm.assigning - DEBUG - Activity 115158: sampling based on floor area\n", - "2024-05-14 18:29:35,276 - acbm.assigning - DEBUG - Activity 115160: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,279 - acbm.assigning - DEBUG - Activity 115160: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,280 - acbm.assigning - DEBUG - Activity 115160: sampling based on floor area\n", - "2024-05-14 18:29:35,281 - acbm.assigning - DEBUG - Activity 115162: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,285 - acbm.assigning - DEBUG - Activity 115162: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,286 - acbm.assigning - DEBUG - Activity 115162: sampling based on floor area\n", - "2024-05-14 18:29:35,287 - acbm.assigning - DEBUG - Activity 115164: Initial number of options for activity = 128\n", - "2024-05-14 18:29:35,289 - acbm.assigning - DEBUG - Activity 115164: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:35,290 - acbm.assigning - DEBUG - Activity 115164: sampling based on floor area\n", - "2024-05-14 18:29:35,292 - acbm.assigning - DEBUG - Activity 115210: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,293 - acbm.assigning - DEBUG - Activity 115210: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,294 - acbm.assigning - DEBUG - Activity 115210: sampling based on floor area\n", - "2024-05-14 18:29:35,295 - acbm.assigning - DEBUG - Activity 115225: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,296 - acbm.assigning - DEBUG - Activity 115225: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,297 - acbm.assigning - DEBUG - Activity 115225: sampling based on floor area\n", - "2024-05-14 18:29:35,298 - acbm.assigning - DEBUG - Activity 115333: Initial number of options for activity = 32\n", - "2024-05-14 18:29:35,299 - acbm.assigning - DEBUG - Activity 115333: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:35,300 - acbm.assigning - DEBUG - Activity 115333: sampling based on floor area\n", - "2024-05-14 18:29:35,301 - acbm.assigning - DEBUG - Activity 115335: Initial number of options for activity = 32\n", - "2024-05-14 18:29:35,303 - acbm.assigning - DEBUG - Activity 115335: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:35,303 - acbm.assigning - DEBUG - Activity 115335: sampling based on floor area\n", - "2024-05-14 18:29:35,304 - acbm.assigning - DEBUG - Activity 115337: Initial number of options for activity = 32\n", - "2024-05-14 18:29:35,306 - acbm.assigning - DEBUG - Activity 115337: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:35,306 - acbm.assigning - DEBUG - Activity 115337: sampling based on floor area\n", - "2024-05-14 18:29:35,307 - acbm.assigning - DEBUG - Activity 115341: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,309 - acbm.assigning - DEBUG - Activity 115341: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,310 - acbm.assigning - DEBUG - Activity 115341: sampling based on floor area\n", - "2024-05-14 18:29:35,311 - acbm.assigning - DEBUG - Activity 115343: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,313 - acbm.assigning - DEBUG - Activity 115343: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,313 - acbm.assigning - DEBUG - Activity 115343: sampling based on floor area\n", - "2024-05-14 18:29:35,314 - acbm.assigning - DEBUG - Activity 115349: Initial number of options for activity = 112\n", - "2024-05-14 18:29:35,316 - acbm.assigning - DEBUG - Activity 115349: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:35,316 - acbm.assigning - DEBUG - Activity 115349: sampling based on floor area\n", - "2024-05-14 18:29:35,317 - acbm.assigning - DEBUG - Activity 115352: Initial number of options for activity = 112\n", - "2024-05-14 18:29:35,319 - acbm.assigning - DEBUG - Activity 115352: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:35,319 - acbm.assigning - DEBUG - Activity 115352: sampling based on floor area\n", - "2024-05-14 18:29:35,320 - acbm.assigning - DEBUG - Activity 115353: Initial number of options for activity = 44\n", - "2024-05-14 18:29:35,322 - acbm.assigning - DEBUG - Activity 115353: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:35,322 - acbm.assigning - DEBUG - Activity 115353: sampling based on floor area\n", - "2024-05-14 18:29:35,323 - acbm.assigning - DEBUG - Activity 115355: Initial number of options for activity = 112\n", - "2024-05-14 18:29:35,324 - acbm.assigning - DEBUG - Activity 115355: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:35,325 - acbm.assigning - DEBUG - Activity 115355: sampling based on floor area\n", - "2024-05-14 18:29:35,326 - acbm.assigning - DEBUG - Activity 115358: Initial number of options for activity = 112\n", - "2024-05-14 18:29:35,327 - acbm.assigning - DEBUG - Activity 115358: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:35,328 - acbm.assigning - DEBUG - Activity 115358: sampling based on floor area\n", - "2024-05-14 18:29:35,329 - acbm.assigning - DEBUG - Activity 115397: Initial number of options for activity = 8\n", - "2024-05-14 18:29:35,331 - acbm.assigning - DEBUG - Activity 115397: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:35,332 - acbm.assigning - DEBUG - Activity 115397: sampling based on floor area\n", - "2024-05-14 18:29:35,333 - acbm.assigning - DEBUG - Activity 115399: Initial number of options for activity = 8\n", - "2024-05-14 18:29:35,335 - acbm.assigning - DEBUG - Activity 115399: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:35,335 - acbm.assigning - DEBUG - Activity 115399: sampling based on floor area\n", - "2024-05-14 18:29:35,336 - acbm.assigning - DEBUG - Activity 115401: Initial number of options for activity = 8\n", - "2024-05-14 18:29:35,338 - acbm.assigning - DEBUG - Activity 115401: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:35,339 - acbm.assigning - DEBUG - Activity 115401: sampling based on floor area\n", - "2024-05-14 18:29:35,339 - acbm.assigning - DEBUG - Activity 115403: Initial number of options for activity = 8\n", - "2024-05-14 18:29:35,341 - acbm.assigning - DEBUG - Activity 115403: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:35,342 - acbm.assigning - DEBUG - Activity 115403: sampling based on floor area\n", - "2024-05-14 18:29:35,342 - acbm.assigning - DEBUG - Activity 115407: Initial number of options for activity = 8\n", - "2024-05-14 18:29:35,344 - acbm.assigning - DEBUG - Activity 115407: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:35,345 - acbm.assigning - DEBUG - Activity 115407: sampling based on floor area\n", - "2024-05-14 18:29:35,346 - acbm.assigning - DEBUG - Activity 115639: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,348 - acbm.assigning - DEBUG - Activity 115639: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,349 - acbm.assigning - DEBUG - Activity 115639: sampling based on floor area\n", - "2024-05-14 18:29:35,349 - acbm.assigning - DEBUG - Activity 115647: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,351 - acbm.assigning - DEBUG - Activity 115647: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,352 - acbm.assigning - DEBUG - Activity 115647: sampling based on floor area\n", - "2024-05-14 18:29:35,352 - acbm.assigning - DEBUG - Activity 115648: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,354 - acbm.assigning - DEBUG - Activity 115648: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,355 - acbm.assigning - DEBUG - Activity 115648: sampling based on floor area\n", - "2024-05-14 18:29:35,355 - acbm.assigning - DEBUG - Activity 115650: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,357 - acbm.assigning - DEBUG - Activity 115650: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,357 - acbm.assigning - DEBUG - Activity 115650: sampling based on floor area\n", - "2024-05-14 18:29:35,358 - acbm.assigning - DEBUG - Activity 115903: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,359 - acbm.assigning - DEBUG - Activity 115903: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,360 - acbm.assigning - DEBUG - Activity 115903: sampling based on floor area\n", - "2024-05-14 18:29:35,362 - acbm.assigning - DEBUG - Activity 116068: Initial number of options for activity = 5\n", - "2024-05-14 18:29:35,363 - acbm.assigning - DEBUG - Activity 116068: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:35,364 - acbm.assigning - DEBUG - Activity 116068: sampling based on floor area\n", - "2024-05-14 18:29:35,364 - acbm.assigning - DEBUG - Activity 116070: Initial number of options for activity = 5\n", - "2024-05-14 18:29:35,366 - acbm.assigning - DEBUG - Activity 116070: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:35,367 - acbm.assigning - DEBUG - Activity 116070: sampling based on floor area\n", - "2024-05-14 18:29:35,368 - acbm.assigning - DEBUG - Activity 116074: Initial number of options for activity = 5\n", - "2024-05-14 18:29:35,370 - acbm.assigning - DEBUG - Activity 116074: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:35,370 - acbm.assigning - DEBUG - Activity 116074: sampling based on floor area\n", - "2024-05-14 18:29:35,371 - acbm.assigning - DEBUG - Activity 116079: Initial number of options for activity = 5\n", - "2024-05-14 18:29:35,373 - acbm.assigning - DEBUG - Activity 116079: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:35,374 - acbm.assigning - DEBUG - Activity 116079: sampling based on floor area\n", - "2024-05-14 18:29:35,374 - acbm.assigning - DEBUG - Activity 116081: Initial number of options for activity = 5\n", - "2024-05-14 18:29:35,376 - acbm.assigning - DEBUG - Activity 116081: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:35,376 - acbm.assigning - DEBUG - Activity 116081: sampling based on floor area\n", - "2024-05-14 18:29:35,378 - acbm.assigning - DEBUG - Activity 116269: Initial number of options for activity = 18\n", - "2024-05-14 18:29:35,380 - acbm.assigning - DEBUG - Activity 116269: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:35,381 - acbm.assigning - DEBUG - Activity 116269: sampling based on floor area\n", - "2024-05-14 18:29:35,382 - acbm.assigning - DEBUG - Activity 116276: Initial number of options for activity = 18\n", - "2024-05-14 18:29:35,384 - acbm.assigning - DEBUG - Activity 116276: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:35,385 - acbm.assigning - DEBUG - Activity 116276: sampling based on floor area\n", - "2024-05-14 18:29:35,386 - acbm.assigning - DEBUG - Activity 116277: Initial number of options for activity = 18\n", - "2024-05-14 18:29:35,388 - acbm.assigning - DEBUG - Activity 116277: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:35,389 - acbm.assigning - DEBUG - Activity 116277: sampling based on floor area\n", - "2024-05-14 18:29:35,390 - acbm.assigning - DEBUG - Activity 116278: Initial number of options for activity = 18\n", - "2024-05-14 18:29:35,392 - acbm.assigning - DEBUG - Activity 116278: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:35,392 - acbm.assigning - DEBUG - Activity 116278: sampling based on floor area\n", - "2024-05-14 18:29:35,393 - acbm.assigning - DEBUG - Activity 116281: Initial number of options for activity = 18\n", - "2024-05-14 18:29:35,396 - acbm.assigning - DEBUG - Activity 116281: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:35,396 - acbm.assigning - DEBUG - Activity 116281: sampling based on floor area\n", - "2024-05-14 18:29:35,397 - acbm.assigning - DEBUG - Activity 116316: Initial number of options for activity = 47\n", - "2024-05-14 18:29:35,399 - acbm.assigning - DEBUG - Activity 116316: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:35,400 - acbm.assigning - DEBUG - Activity 116316: sampling based on floor area\n", - "2024-05-14 18:29:35,401 - acbm.assigning - DEBUG - Activity 116318: Initial number of options for activity = 47\n", - "2024-05-14 18:29:35,403 - acbm.assigning - DEBUG - Activity 116318: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:35,404 - acbm.assigning - DEBUG - Activity 116318: sampling based on floor area\n", - "2024-05-14 18:29:35,405 - acbm.assigning - DEBUG - Activity 116322: Initial number of options for activity = 47\n", - "2024-05-14 18:29:35,407 - acbm.assigning - DEBUG - Activity 116322: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:35,408 - acbm.assigning - DEBUG - Activity 116322: sampling based on floor area\n", - "2024-05-14 18:29:35,410 - acbm.assigning - DEBUG - Activity 116324: Initial number of options for activity = 47\n", - "2024-05-14 18:29:35,413 - acbm.assigning - DEBUG - Activity 116324: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:35,414 - acbm.assigning - DEBUG - Activity 116324: sampling based on floor area\n", - "2024-05-14 18:29:35,415 - acbm.assigning - DEBUG - Activity 116326: Initial number of options for activity = 47\n", - "2024-05-14 18:29:35,419 - acbm.assigning - DEBUG - Activity 116326: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:35,419 - acbm.assigning - DEBUG - Activity 116326: sampling based on floor area\n", - "2024-05-14 18:29:35,421 - acbm.assigning - DEBUG - Activity 116504: Initial number of options for activity = 140\n", - "2024-05-14 18:29:35,423 - acbm.assigning - DEBUG - Activity 116504: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:35,424 - acbm.assigning - DEBUG - Activity 116504: sampling based on floor area\n", - "2024-05-14 18:29:35,425 - acbm.assigning - DEBUG - Activity 116506: Initial number of options for activity = 140\n", - "2024-05-14 18:29:35,427 - acbm.assigning - DEBUG - Activity 116506: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:35,428 - acbm.assigning - DEBUG - Activity 116506: sampling based on floor area\n", - "2024-05-14 18:29:35,429 - acbm.assigning - DEBUG - Activity 116508: Initial number of options for activity = 140\n", - "2024-05-14 18:29:35,432 - acbm.assigning - DEBUG - Activity 116508: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:35,433 - acbm.assigning - DEBUG - Activity 116508: sampling based on floor area\n", - "2024-05-14 18:29:35,435 - acbm.assigning - DEBUG - Activity 116510: Initial number of options for activity = 140\n", - "2024-05-14 18:29:35,438 - acbm.assigning - DEBUG - Activity 116510: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:35,439 - acbm.assigning - DEBUG - Activity 116510: sampling based on floor area\n", - "2024-05-14 18:29:35,440 - acbm.assigning - DEBUG - Activity 116835: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,442 - acbm.assigning - DEBUG - Activity 116835: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,443 - acbm.assigning - DEBUG - Activity 116835: sampling based on floor area\n", - "2024-05-14 18:29:35,444 - acbm.assigning - DEBUG - Activity 116837: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,447 - acbm.assigning - DEBUG - Activity 116837: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,454 - acbm.assigning - DEBUG - Activity 116837: sampling based on floor area\n", - "2024-05-14 18:29:35,458 - acbm.assigning - DEBUG - Activity 116839: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,463 - acbm.assigning - DEBUG - Activity 116839: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,464 - acbm.assigning - DEBUG - Activity 116839: sampling based on floor area\n", - "2024-05-14 18:29:35,466 - acbm.assigning - DEBUG - Activity 116841: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,469 - acbm.assigning - DEBUG - Activity 116841: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,469 - acbm.assigning - DEBUG - Activity 116841: sampling based on floor area\n", - "2024-05-14 18:29:35,470 - acbm.assigning - DEBUG - Activity 116926: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,472 - acbm.assigning - DEBUG - Activity 116926: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,473 - acbm.assigning - DEBUG - Activity 116926: sampling based on floor area\n", - "2024-05-14 18:29:35,473 - acbm.assigning - DEBUG - Activity 116995: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,475 - acbm.assigning - DEBUG - Activity 116995: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,476 - acbm.assigning - DEBUG - Activity 116995: sampling based on floor area\n", - "2024-05-14 18:29:35,477 - acbm.assigning - DEBUG - Activity 116997: Initial number of options for activity = 123\n", - "2024-05-14 18:29:35,479 - acbm.assigning - DEBUG - Activity 116997: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:35,480 - acbm.assigning - DEBUG - Activity 116997: sampling based on floor area\n", - "2024-05-14 18:29:35,482 - acbm.assigning - DEBUG - Activity 117018: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,484 - acbm.assigning - DEBUG - Activity 117018: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,484 - acbm.assigning - DEBUG - Activity 117018: sampling based on floor area\n", - "2024-05-14 18:29:35,485 - acbm.assigning - DEBUG - Activity 117081: Initial number of options for activity = 22\n", - "2024-05-14 18:29:35,488 - acbm.assigning - DEBUG - Activity 117081: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:35,489 - acbm.assigning - DEBUG - Activity 117081: sampling based on floor area\n", - "2024-05-14 18:29:35,490 - acbm.assigning - DEBUG - Activity 117084: Initial number of options for activity = 22\n", - "2024-05-14 18:29:35,493 - acbm.assigning - DEBUG - Activity 117084: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:35,493 - acbm.assigning - DEBUG - Activity 117084: sampling based on floor area\n", - "2024-05-14 18:29:35,495 - acbm.assigning - DEBUG - Activity 117086: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,497 - acbm.assigning - DEBUG - Activity 117086: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,498 - acbm.assigning - DEBUG - Activity 117086: sampling based on floor area\n", - "2024-05-14 18:29:35,499 - acbm.assigning - DEBUG - Activity 117090: Initial number of options for activity = 41\n", - "2024-05-14 18:29:35,501 - acbm.assigning - DEBUG - Activity 117090: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:35,502 - acbm.assigning - DEBUG - Activity 117090: sampling based on floor area\n", - "2024-05-14 18:29:35,503 - acbm.assigning - DEBUG - Activity 117092: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,505 - acbm.assigning - DEBUG - Activity 117092: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,505 - acbm.assigning - DEBUG - Activity 117092: sampling based on floor area\n", - "2024-05-14 18:29:35,506 - acbm.assigning - DEBUG - Activity 117094: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,508 - acbm.assigning - DEBUG - Activity 117094: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,509 - acbm.assigning - DEBUG - Activity 117094: sampling based on floor area\n", - "2024-05-14 18:29:35,510 - acbm.assigning - DEBUG - Activity 117101: Initial number of options for activity = 32\n", - "2024-05-14 18:29:35,512 - acbm.assigning - DEBUG - Activity 117101: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:35,512 - acbm.assigning - DEBUG - Activity 117101: sampling based on floor area\n", - "2024-05-14 18:29:35,513 - acbm.assigning - DEBUG - Activity 117107: Initial number of options for activity = 31\n", - "2024-05-14 18:29:35,516 - acbm.assigning - DEBUG - Activity 117107: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:35,516 - acbm.assigning - DEBUG - Activity 117107: sampling based on floor area\n", - "2024-05-14 18:29:35,517 - acbm.assigning - DEBUG - Activity 117111: Initial number of options for activity = 27\n", - "2024-05-14 18:29:35,518 - acbm.assigning - DEBUG - Activity 117111: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:35,519 - acbm.assigning - DEBUG - Activity 117111: sampling based on floor area\n", - "2024-05-14 18:29:35,520 - acbm.assigning - DEBUG - Activity 117113: Initial number of options for activity = 41\n", - "2024-05-14 18:29:35,522 - acbm.assigning - DEBUG - Activity 117113: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:35,523 - acbm.assigning - DEBUG - Activity 117113: sampling based on floor area\n", - "2024-05-14 18:29:35,524 - acbm.assigning - DEBUG - Activity 117115: Initial number of options for activity = 41\n", - "2024-05-14 18:29:35,527 - acbm.assigning - DEBUG - Activity 117115: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:35,528 - acbm.assigning - DEBUG - Activity 117115: sampling based on floor area\n", - "2024-05-14 18:29:35,530 - acbm.assigning - INFO - Activity 117342: No zones available\n", - "2024-05-14 18:29:35,531 - acbm.assigning - INFO - Activity 117358: No zones available\n", - "2024-05-14 18:29:35,531 - acbm.assigning - INFO - Activity 117362: No zones available\n", - "2024-05-14 18:29:35,531 - acbm.assigning - INFO - Activity 117366: No zones available\n", - "2024-05-14 18:29:35,532 - acbm.assigning - INFO - Activity 117381: No zones available\n", - "2024-05-14 18:29:35,532 - acbm.assigning - DEBUG - Activity 117383: Initial number of options for activity = 145\n", - "2024-05-14 18:29:35,535 - acbm.assigning - DEBUG - Activity 117383: Number of options after filtering by education type: 145\n", - "2024-05-14 18:29:35,536 - acbm.assigning - DEBUG - Activity 117383: sampling based on floor area\n", - "2024-05-14 18:29:35,537 - acbm.assigning - DEBUG - Activity 117392: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,539 - acbm.assigning - DEBUG - Activity 117392: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,540 - acbm.assigning - DEBUG - Activity 117392: sampling based on floor area\n", - "2024-05-14 18:29:35,541 - acbm.assigning - DEBUG - Activity 117490: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,544 - acbm.assigning - DEBUG - Activity 117490: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,545 - acbm.assigning - DEBUG - Activity 117490: sampling based on floor area\n", - "2024-05-14 18:29:35,546 - acbm.assigning - DEBUG - Activity 117491: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,549 - acbm.assigning - DEBUG - Activity 117491: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,550 - acbm.assigning - DEBUG - Activity 117491: sampling based on floor area\n", - "2024-05-14 18:29:35,552 - acbm.assigning - DEBUG - Activity 117492: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,554 - acbm.assigning - DEBUG - Activity 117492: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,555 - acbm.assigning - DEBUG - Activity 117492: sampling based on floor area\n", - "2024-05-14 18:29:35,557 - acbm.assigning - DEBUG - Activity 117500: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,558 - acbm.assigning - DEBUG - Activity 117500: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,559 - acbm.assigning - DEBUG - Activity 117500: sampling based on floor area\n", - "2024-05-14 18:29:35,560 - acbm.assigning - DEBUG - Activity 117501: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,562 - acbm.assigning - DEBUG - Activity 117501: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,563 - acbm.assigning - DEBUG - Activity 117501: sampling based on floor area\n", - "2024-05-14 18:29:35,565 - acbm.assigning - DEBUG - Activity 117502: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,567 - acbm.assigning - DEBUG - Activity 117502: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,568 - acbm.assigning - DEBUG - Activity 117502: sampling based on floor area\n", - "2024-05-14 18:29:35,569 - acbm.assigning - DEBUG - Activity 117598: Initial number of options for activity = 10\n", - "2024-05-14 18:29:35,571 - acbm.assigning - DEBUG - Activity 117598: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:35,572 - acbm.assigning - DEBUG - Activity 117598: sampling based on floor area\n", - "2024-05-14 18:29:35,573 - acbm.assigning - DEBUG - Activity 117600: Initial number of options for activity = 10\n", - "2024-05-14 18:29:35,575 - acbm.assigning - DEBUG - Activity 117600: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:35,576 - acbm.assigning - DEBUG - Activity 117600: sampling based on floor area\n", - "2024-05-14 18:29:35,577 - acbm.assigning - DEBUG - Activity 117604: Initial number of options for activity = 10\n", - "2024-05-14 18:29:35,580 - acbm.assigning - DEBUG - Activity 117604: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:35,581 - acbm.assigning - DEBUG - Activity 117604: sampling based on floor area\n", - "2024-05-14 18:29:35,583 - acbm.assigning - DEBUG - Activity 117608: Initial number of options for activity = 10\n", - "2024-05-14 18:29:35,586 - acbm.assigning - DEBUG - Activity 117608: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:35,588 - acbm.assigning - DEBUG - Activity 117608: sampling based on floor area\n", - "2024-05-14 18:29:35,589 - acbm.assigning - DEBUG - Activity 117610: Initial number of options for activity = 10\n", - "2024-05-14 18:29:35,593 - acbm.assigning - DEBUG - Activity 117610: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:35,594 - acbm.assigning - DEBUG - Activity 117610: sampling based on floor area\n", - "2024-05-14 18:29:35,596 - acbm.assigning - INFO - Activity 117837: No zones available\n", - "2024-05-14 18:29:35,596 - acbm.assigning - DEBUG - Activity 117913: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,599 - acbm.assigning - DEBUG - Activity 117913: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,600 - acbm.assigning - DEBUG - Activity 117913: sampling based on floor area\n", - "2024-05-14 18:29:35,601 - acbm.assigning - DEBUG - Activity 117917: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,604 - acbm.assigning - DEBUG - Activity 117917: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,605 - acbm.assigning - DEBUG - Activity 117917: sampling based on floor area\n", - "2024-05-14 18:29:35,607 - acbm.assigning - DEBUG - Activity 117919: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,609 - acbm.assigning - DEBUG - Activity 117919: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,610 - acbm.assigning - DEBUG - Activity 117919: sampling based on floor area\n", - "2024-05-14 18:29:35,611 - acbm.assigning - DEBUG - Activity 117921: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,613 - acbm.assigning - DEBUG - Activity 117921: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,615 - acbm.assigning - DEBUG - Activity 117921: sampling based on floor area\n", - "2024-05-14 18:29:35,617 - acbm.assigning - DEBUG - Activity 117988: Initial number of options for activity = 56\n", - "2024-05-14 18:29:35,619 - acbm.assigning - DEBUG - Activity 117988: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:35,620 - acbm.assigning - DEBUG - Activity 117988: sampling based on floor area\n", - "2024-05-14 18:29:35,621 - acbm.assigning - DEBUG - Activity 117990: Initial number of options for activity = 31\n", - "2024-05-14 18:29:35,623 - acbm.assigning - DEBUG - Activity 117990: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:35,623 - acbm.assigning - DEBUG - Activity 117990: sampling based on floor area\n", - "2024-05-14 18:29:35,625 - acbm.assigning - DEBUG - Activity 117992: Initial number of options for activity = 125\n", - "2024-05-14 18:29:35,628 - acbm.assigning - DEBUG - Activity 117992: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:35,629 - acbm.assigning - DEBUG - Activity 117992: sampling based on floor area\n", - "2024-05-14 18:29:35,631 - acbm.assigning - DEBUG - Activity 117994: Initial number of options for activity = 31\n", - "2024-05-14 18:29:35,633 - acbm.assigning - DEBUG - Activity 117994: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:35,633 - acbm.assigning - DEBUG - Activity 117994: sampling based on floor area\n", - "2024-05-14 18:29:35,634 - acbm.assigning - DEBUG - Activity 117996: Initial number of options for activity = 56\n", - "2024-05-14 18:29:35,647 - acbm.assigning - DEBUG - Activity 117996: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:35,648 - acbm.assigning - DEBUG - Activity 117996: sampling based on floor area\n", - "2024-05-14 18:29:35,650 - acbm.assigning - DEBUG - Activity 118000: Initial number of options for activity = 56\n", - "2024-05-14 18:29:35,652 - acbm.assigning - DEBUG - Activity 118000: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:35,653 - acbm.assigning - DEBUG - Activity 118000: sampling based on floor area\n", - "2024-05-14 18:29:35,655 - acbm.assigning - DEBUG - Activity 118002: Initial number of options for activity = 31\n", - "2024-05-14 18:29:35,657 - acbm.assigning - DEBUG - Activity 118002: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:35,658 - acbm.assigning - DEBUG - Activity 118002: sampling based on floor area\n", - "2024-05-14 18:29:35,660 - acbm.assigning - DEBUG - Activity 118004: Initial number of options for activity = 125\n", - "2024-05-14 18:29:35,663 - acbm.assigning - DEBUG - Activity 118004: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:35,664 - acbm.assigning - DEBUG - Activity 118004: sampling based on floor area\n", - "2024-05-14 18:29:35,666 - acbm.assigning - DEBUG - Activity 118006: Initial number of options for activity = 31\n", - "2024-05-14 18:29:35,668 - acbm.assigning - DEBUG - Activity 118006: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:35,669 - acbm.assigning - DEBUG - Activity 118006: sampling based on floor area\n", - "2024-05-14 18:29:35,670 - acbm.assigning - DEBUG - Activity 118008: Initial number of options for activity = 56\n", - "2024-05-14 18:29:35,673 - acbm.assigning - DEBUG - Activity 118008: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:35,673 - acbm.assigning - DEBUG - Activity 118008: sampling based on floor area\n", - "2024-05-14 18:29:35,675 - acbm.assigning - DEBUG - Activity 118138: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,677 - acbm.assigning - DEBUG - Activity 118138: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,679 - acbm.assigning - DEBUG - Activity 118138: sampling based on floor area\n", - "2024-05-14 18:29:35,681 - acbm.assigning - DEBUG - Activity 118139: Initial number of options for activity = 85\n", - "2024-05-14 18:29:35,683 - acbm.assigning - DEBUG - Activity 118139: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:35,683 - acbm.assigning - DEBUG - Activity 118139: sampling based on floor area\n", - "2024-05-14 18:29:35,685 - acbm.assigning - DEBUG - Activity 118145: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,686 - acbm.assigning - DEBUG - Activity 118145: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,687 - acbm.assigning - DEBUG - Activity 118145: sampling based on floor area\n", - "2024-05-14 18:29:35,688 - acbm.assigning - DEBUG - Activity 118150: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,690 - acbm.assigning - DEBUG - Activity 118150: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,691 - acbm.assigning - DEBUG - Activity 118150: sampling based on floor area\n", - "2024-05-14 18:29:35,692 - acbm.assigning - DEBUG - Activity 118151: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,694 - acbm.assigning - DEBUG - Activity 118151: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,696 - acbm.assigning - DEBUG - Activity 118151: sampling based on floor area\n", - "2024-05-14 18:29:35,697 - acbm.assigning - INFO - Activity 118197: No zones available\n", - "2024-05-14 18:29:35,698 - acbm.assigning - INFO - Activity 118198: No zones available\n", - "2024-05-14 18:29:35,698 - acbm.assigning - INFO - Activity 118201: No zones available\n", - "2024-05-14 18:29:35,698 - acbm.assigning - INFO - Activity 118208: No zones available\n", - "2024-05-14 18:29:35,699 - acbm.assigning - DEBUG - Activity 118317: Initial number of options for activity = 27\n", - "2024-05-14 18:29:35,701 - acbm.assigning - DEBUG - Activity 118317: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:35,701 - acbm.assigning - DEBUG - Activity 118317: sampling based on floor area\n", - "2024-05-14 18:29:35,703 - acbm.assigning - DEBUG - Activity 118320: Initial number of options for activity = 27\n", - "2024-05-14 18:29:35,705 - acbm.assigning - DEBUG - Activity 118320: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:35,706 - acbm.assigning - DEBUG - Activity 118320: sampling based on floor area\n", - "2024-05-14 18:29:35,707 - acbm.assigning - DEBUG - Activity 118324: Initial number of options for activity = 27\n", - "2024-05-14 18:29:35,711 - acbm.assigning - DEBUG - Activity 118324: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:35,712 - acbm.assigning - DEBUG - Activity 118324: sampling based on floor area\n", - "2024-05-14 18:29:35,714 - acbm.assigning - DEBUG - Activity 118326: Initial number of options for activity = 27\n", - "2024-05-14 18:29:35,716 - acbm.assigning - DEBUG - Activity 118326: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:35,725 - acbm.assigning - DEBUG - Activity 118326: sampling based on floor area\n", - "2024-05-14 18:29:35,726 - acbm.assigning - DEBUG - Activity 118327: Initial number of options for activity = 27\n", - "2024-05-14 18:29:35,730 - acbm.assigning - DEBUG - Activity 118327: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:35,731 - acbm.assigning - DEBUG - Activity 118327: sampling based on floor area\n", - "2024-05-14 18:29:35,732 - acbm.assigning - INFO - Activity 118392: No zones available\n", - "2024-05-14 18:29:35,733 - acbm.assigning - INFO - Activity 118394: No zones available\n", - "2024-05-14 18:29:35,733 - acbm.assigning - INFO - Activity 118396: No zones available\n", - "2024-05-14 18:29:35,734 - acbm.assigning - INFO - Activity 118398: No zones available\n", - "2024-05-14 18:29:35,735 - acbm.assigning - INFO - Activity 118400: No zones available\n", - "2024-05-14 18:29:35,735 - acbm.assigning - DEBUG - Activity 118512: Initial number of options for activity = 48\n", - "2024-05-14 18:29:35,738 - acbm.assigning - DEBUG - Activity 118512: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:35,739 - acbm.assigning - DEBUG - Activity 118512: sampling based on floor area\n", - "2024-05-14 18:29:35,740 - acbm.assigning - DEBUG - Activity 118514: Initial number of options for activity = 48\n", - "2024-05-14 18:29:35,743 - acbm.assigning - DEBUG - Activity 118514: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:35,745 - acbm.assigning - DEBUG - Activity 118514: sampling based on floor area\n", - "2024-05-14 18:29:35,746 - acbm.assigning - DEBUG - Activity 118516: Initial number of options for activity = 48\n", - "2024-05-14 18:29:35,748 - acbm.assigning - DEBUG - Activity 118516: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:35,749 - acbm.assigning - DEBUG - Activity 118516: sampling based on floor area\n", - "2024-05-14 18:29:35,750 - acbm.assigning - DEBUG - Activity 118518: Initial number of options for activity = 48\n", - "2024-05-14 18:29:35,753 - acbm.assigning - DEBUG - Activity 118518: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:35,753 - acbm.assigning - DEBUG - Activity 118518: sampling based on floor area\n", - "2024-05-14 18:29:35,755 - acbm.assigning - INFO - Activity 118655: No zones available\n", - "2024-05-14 18:29:35,755 - acbm.assigning - INFO - Activity 118656: No zones available\n", - "2024-05-14 18:29:35,756 - acbm.assigning - INFO - Activity 118661: No zones available\n", - "2024-05-14 18:29:35,756 - acbm.assigning - INFO - Activity 118663: No zones available\n", - "2024-05-14 18:29:35,757 - acbm.assigning - INFO - Activity 118665: No zones available\n", - "2024-05-14 18:29:35,757 - acbm.assigning - DEBUG - Activity 118859: Initial number of options for activity = 23\n", - "2024-05-14 18:29:35,759 - acbm.assigning - DEBUG - Activity 118859: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:35,759 - acbm.assigning - DEBUG - Activity 118859: sampling based on floor area\n", - "2024-05-14 18:29:35,760 - acbm.assigning - DEBUG - Activity 118860: Initial number of options for activity = 23\n", - "2024-05-14 18:29:35,763 - acbm.assigning - DEBUG - Activity 118860: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:35,764 - acbm.assigning - DEBUG - Activity 118860: sampling based on floor area\n", - "2024-05-14 18:29:35,765 - acbm.assigning - DEBUG - Activity 118864: Initial number of options for activity = 20\n", - "2024-05-14 18:29:35,767 - acbm.assigning - DEBUG - Activity 118864: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:35,768 - acbm.assigning - DEBUG - Activity 118864: sampling based on floor area\n", - "2024-05-14 18:29:35,769 - acbm.assigning - DEBUG - Activity 118866: Initial number of options for activity = 20\n", - "2024-05-14 18:29:35,772 - acbm.assigning - DEBUG - Activity 118866: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:35,783 - acbm.assigning - DEBUG - Activity 118866: sampling based on floor area\n", - "2024-05-14 18:29:35,785 - acbm.assigning - DEBUG - Activity 118872: Initial number of options for activity = 23\n", - "2024-05-14 18:29:35,788 - acbm.assigning - DEBUG - Activity 118872: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:35,789 - acbm.assigning - DEBUG - Activity 118872: sampling based on floor area\n", - "2024-05-14 18:29:35,790 - acbm.assigning - DEBUG - Activity 119152: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,793 - acbm.assigning - DEBUG - Activity 119152: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,794 - acbm.assigning - DEBUG - Activity 119152: sampling based on floor area\n", - "2024-05-14 18:29:35,797 - acbm.assigning - DEBUG - Activity 119154: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,801 - acbm.assigning - DEBUG - Activity 119154: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,802 - acbm.assigning - DEBUG - Activity 119154: sampling based on floor area\n", - "2024-05-14 18:29:35,804 - acbm.assigning - DEBUG - Activity 119156: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,806 - acbm.assigning - DEBUG - Activity 119156: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,807 - acbm.assigning - DEBUG - Activity 119156: sampling based on floor area\n", - "2024-05-14 18:29:35,808 - acbm.assigning - DEBUG - Activity 119158: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,810 - acbm.assigning - DEBUG - Activity 119158: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,811 - acbm.assigning - DEBUG - Activity 119158: sampling based on floor area\n", - "2024-05-14 18:29:35,813 - acbm.assigning - DEBUG - Activity 119160: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,816 - acbm.assigning - DEBUG - Activity 119160: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,817 - acbm.assigning - DEBUG - Activity 119160: sampling based on floor area\n", - "2024-05-14 18:29:35,818 - acbm.assigning - DEBUG - Activity 119162: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,821 - acbm.assigning - DEBUG - Activity 119162: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,822 - acbm.assigning - DEBUG - Activity 119162: sampling based on floor area\n", - "2024-05-14 18:29:35,823 - acbm.assigning - DEBUG - Activity 119164: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,825 - acbm.assigning - DEBUG - Activity 119164: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,825 - acbm.assigning - DEBUG - Activity 119164: sampling based on floor area\n", - "2024-05-14 18:29:35,826 - acbm.assigning - DEBUG - Activity 119166: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,828 - acbm.assigning - DEBUG - Activity 119166: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,829 - acbm.assigning - DEBUG - Activity 119166: sampling based on floor area\n", - "2024-05-14 18:29:35,830 - acbm.assigning - DEBUG - Activity 119168: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,833 - acbm.assigning - DEBUG - Activity 119168: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,835 - acbm.assigning - DEBUG - Activity 119168: sampling based on floor area\n", - "2024-05-14 18:29:35,836 - acbm.assigning - DEBUG - Activity 119170: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,839 - acbm.assigning - DEBUG - Activity 119170: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,840 - acbm.assigning - DEBUG - Activity 119170: sampling based on floor area\n", - "2024-05-14 18:29:35,842 - acbm.assigning - INFO - Activity 119340: No zones available\n", - "2024-05-14 18:29:35,843 - acbm.assigning - INFO - Activity 119597: No zones available\n", - "2024-05-14 18:29:35,844 - acbm.assigning - DEBUG - Activity 119642: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,846 - acbm.assigning - DEBUG - Activity 119642: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,849 - acbm.assigning - DEBUG - Activity 119642: sampling based on floor area\n", - "2024-05-14 18:29:35,851 - acbm.assigning - DEBUG - Activity 119644: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,854 - acbm.assigning - DEBUG - Activity 119644: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,856 - acbm.assigning - DEBUG - Activity 119644: sampling based on floor area\n", - "2024-05-14 18:29:35,858 - acbm.assigning - DEBUG - Activity 119648: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,861 - acbm.assigning - DEBUG - Activity 119648: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,862 - acbm.assigning - DEBUG - Activity 119648: sampling based on floor area\n", - "2024-05-14 18:29:35,863 - acbm.assigning - DEBUG - Activity 119650: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,864 - acbm.assigning - DEBUG - Activity 119650: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,865 - acbm.assigning - DEBUG - Activity 119650: sampling based on floor area\n", - "2024-05-14 18:29:35,867 - acbm.assigning - DEBUG - Activity 119652: Initial number of options for activity = 13\n", - "2024-05-14 18:29:35,870 - acbm.assigning - DEBUG - Activity 119652: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:35,873 - acbm.assigning - DEBUG - Activity 119652: sampling based on floor area\n", - "2024-05-14 18:29:35,875 - acbm.assigning - INFO - Activity 119826: No zones available\n", - "2024-05-14 18:29:35,876 - acbm.assigning - DEBUG - Activity 119829: Initial number of options for activity = 23\n", - "2024-05-14 18:29:35,878 - acbm.assigning - DEBUG - Activity 119829: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:35,879 - acbm.assigning - DEBUG - Activity 119829: sampling based on floor area\n", - "2024-05-14 18:29:35,880 - acbm.assigning - DEBUG - Activity 119954: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,883 - acbm.assigning - DEBUG - Activity 119954: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,884 - acbm.assigning - DEBUG - Activity 119954: sampling based on floor area\n", - "2024-05-14 18:29:35,886 - acbm.assigning - DEBUG - Activity 119961: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,888 - acbm.assigning - DEBUG - Activity 119961: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,889 - acbm.assigning - DEBUG - Activity 119961: sampling based on floor area\n", - "2024-05-14 18:29:35,890 - acbm.assigning - DEBUG - Activity 119962: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,893 - acbm.assigning - DEBUG - Activity 119962: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,894 - acbm.assigning - DEBUG - Activity 119962: sampling based on floor area\n", - "2024-05-14 18:29:35,896 - acbm.assigning - DEBUG - Activity 119964: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,899 - acbm.assigning - DEBUG - Activity 119964: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,900 - acbm.assigning - DEBUG - Activity 119964: sampling based on floor area\n", - "2024-05-14 18:29:35,902 - acbm.assigning - DEBUG - Activity 119966: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,905 - acbm.assigning - DEBUG - Activity 119966: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,906 - acbm.assigning - DEBUG - Activity 119966: sampling based on floor area\n", - "2024-05-14 18:29:35,907 - acbm.assigning - DEBUG - Activity 119967: Initial number of options for activity = 5\n", - "2024-05-14 18:29:35,909 - acbm.assigning - DEBUG - Activity 119967: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:35,918 - acbm.assigning - DEBUG - Activity 119967: sampling based on floor area\n", - "2024-05-14 18:29:35,920 - acbm.assigning - DEBUG - Activity 119969: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,923 - acbm.assigning - DEBUG - Activity 119969: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,924 - acbm.assigning - DEBUG - Activity 119969: sampling based on floor area\n", - "2024-05-14 18:29:35,925 - acbm.assigning - DEBUG - Activity 119973: Initial number of options for activity = 5\n", - "2024-05-14 18:29:35,928 - acbm.assigning - DEBUG - Activity 119973: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:35,929 - acbm.assigning - DEBUG - Activity 119973: sampling based on floor area\n", - "2024-05-14 18:29:35,931 - acbm.assigning - DEBUG - Activity 119975: Initial number of options for activity = 1\n", - "2024-05-14 18:29:35,934 - acbm.assigning - DEBUG - Activity 119975: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:35,936 - acbm.assigning - DEBUG - Activity 119975: sampling based on floor area\n", - "2024-05-14 18:29:35,937 - acbm.assigning - DEBUG - Activity 119977: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,940 - acbm.assigning - DEBUG - Activity 119977: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,941 - acbm.assigning - DEBUG - Activity 119977: sampling based on floor area\n", - "2024-05-14 18:29:35,942 - acbm.assigning - INFO - Activity 120002: No zones available\n", - "2024-05-14 18:29:35,942 - acbm.assigning - INFO - Activity 120007: No zones available\n", - "2024-05-14 18:29:35,943 - acbm.assigning - DEBUG - Activity 120008: Initial number of options for activity = 12\n", - "2024-05-14 18:29:35,945 - acbm.assigning - DEBUG - Activity 120008: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:35,946 - acbm.assigning - DEBUG - Activity 120008: sampling based on floor area\n", - "2024-05-14 18:29:35,947 - acbm.assigning - INFO - Activity 120018: No zones available\n", - "2024-05-14 18:29:35,948 - acbm.assigning - DEBUG - Activity 120062: Initial number of options for activity = 129\n", - "2024-05-14 18:29:35,951 - acbm.assigning - DEBUG - Activity 120062: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:35,952 - acbm.assigning - DEBUG - Activity 120062: sampling based on floor area\n", - "2024-05-14 18:29:35,953 - acbm.assigning - DEBUG - Activity 120064: Initial number of options for activity = 129\n", - "2024-05-14 18:29:35,955 - acbm.assigning - DEBUG - Activity 120064: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:35,956 - acbm.assigning - DEBUG - Activity 120064: sampling based on floor area\n", - "2024-05-14 18:29:35,957 - acbm.assigning - DEBUG - Activity 120066: Initial number of options for activity = 129\n", - "2024-05-14 18:29:35,960 - acbm.assigning - DEBUG - Activity 120066: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:35,960 - acbm.assigning - DEBUG - Activity 120066: sampling based on floor area\n", - "2024-05-14 18:29:35,962 - acbm.assigning - DEBUG - Activity 120068: Initial number of options for activity = 129\n", - "2024-05-14 18:29:35,965 - acbm.assigning - DEBUG - Activity 120068: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:35,966 - acbm.assigning - DEBUG - Activity 120068: sampling based on floor area\n", - "2024-05-14 18:29:35,968 - acbm.assigning - DEBUG - Activity 120254: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,970 - acbm.assigning - DEBUG - Activity 120254: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,971 - acbm.assigning - DEBUG - Activity 120254: sampling based on floor area\n", - "2024-05-14 18:29:35,973 - acbm.assigning - DEBUG - Activity 120256: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,975 - acbm.assigning - DEBUG - Activity 120256: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,976 - acbm.assigning - DEBUG - Activity 120256: sampling based on floor area\n", - "2024-05-14 18:29:35,978 - acbm.assigning - DEBUG - Activity 120258: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,981 - acbm.assigning - DEBUG - Activity 120258: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,982 - acbm.assigning - DEBUG - Activity 120258: sampling based on floor area\n", - "2024-05-14 18:29:35,983 - acbm.assigning - DEBUG - Activity 120260: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,985 - acbm.assigning - DEBUG - Activity 120260: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:35,986 - acbm.assigning - DEBUG - Activity 120260: sampling based on floor area\n", - "2024-05-14 18:29:35,988 - acbm.assigning - DEBUG - Activity 120262: Initial number of options for activity = 3\n", - "2024-05-14 18:29:35,999 - acbm.assigning - DEBUG - Activity 120262: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:36,002 - acbm.assigning - DEBUG - Activity 120262: sampling based on floor area\n", - "2024-05-14 18:29:36,004 - acbm.assigning - DEBUG - Activity 120375: Initial number of options for activity = 22\n", - "2024-05-14 18:29:36,006 - acbm.assigning - DEBUG - Activity 120375: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:36,007 - acbm.assigning - DEBUG - Activity 120375: sampling based on floor area\n", - "2024-05-14 18:29:36,008 - acbm.assigning - DEBUG - Activity 120376: Initial number of options for activity = 22\n", - "2024-05-14 18:29:36,011 - acbm.assigning - DEBUG - Activity 120376: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:36,012 - acbm.assigning - DEBUG - Activity 120376: sampling based on floor area\n", - "2024-05-14 18:29:36,014 - acbm.assigning - DEBUG - Activity 120377: Initial number of options for activity = 60\n", - "2024-05-14 18:29:36,017 - acbm.assigning - DEBUG - Activity 120377: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:36,018 - acbm.assigning - DEBUG - Activity 120377: sampling based on floor area\n", - "2024-05-14 18:29:36,019 - acbm.assigning - DEBUG - Activity 120378: Initial number of options for activity = 22\n", - "2024-05-14 18:29:36,022 - acbm.assigning - DEBUG - Activity 120378: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:36,023 - acbm.assigning - DEBUG - Activity 120378: sampling based on floor area\n", - "2024-05-14 18:29:36,025 - acbm.assigning - DEBUG - Activity 120386: Initial number of options for activity = 22\n", - "2024-05-14 18:29:36,027 - acbm.assigning - DEBUG - Activity 120386: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:36,028 - acbm.assigning - DEBUG - Activity 120386: sampling based on floor area\n", - "2024-05-14 18:29:36,029 - acbm.assigning - DEBUG - Activity 120419: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,031 - acbm.assigning - DEBUG - Activity 120419: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,032 - acbm.assigning - DEBUG - Activity 120419: sampling based on floor area\n", - "2024-05-14 18:29:36,039 - acbm.assigning - DEBUG - Activity 120421: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,042 - acbm.assigning - DEBUG - Activity 120421: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,043 - acbm.assigning - DEBUG - Activity 120421: sampling based on floor area\n", - "2024-05-14 18:29:36,044 - acbm.assigning - DEBUG - Activity 120426: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,047 - acbm.assigning - DEBUG - Activity 120426: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,048 - acbm.assigning - DEBUG - Activity 120426: sampling based on floor area\n", - "2024-05-14 18:29:36,050 - acbm.assigning - DEBUG - Activity 120431: Initial number of options for activity = 102\n", - "2024-05-14 18:29:36,053 - acbm.assigning - DEBUG - Activity 120431: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:36,054 - acbm.assigning - DEBUG - Activity 120431: sampling based on floor area\n", - "2024-05-14 18:29:36,055 - acbm.assigning - DEBUG - Activity 120432: Initial number of options for activity = 102\n", - "2024-05-14 18:29:36,058 - acbm.assigning - DEBUG - Activity 120432: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:36,059 - acbm.assigning - DEBUG - Activity 120432: sampling based on floor area\n", - "2024-05-14 18:29:36,060 - acbm.assigning - DEBUG - Activity 120480: Initial number of options for activity = 3\n", - "2024-05-14 18:29:36,063 - acbm.assigning - DEBUG - Activity 120480: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:36,064 - acbm.assigning - DEBUG - Activity 120480: sampling based on floor area\n", - "2024-05-14 18:29:36,065 - acbm.assigning - DEBUG - Activity 120553: Initial number of options for activity = 123\n", - "2024-05-14 18:29:36,067 - acbm.assigning - DEBUG - Activity 120553: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:36,068 - acbm.assigning - DEBUG - Activity 120553: sampling based on floor area\n", - "2024-05-14 18:29:36,069 - acbm.assigning - DEBUG - Activity 120555: Initial number of options for activity = 123\n", - "2024-05-14 18:29:36,071 - acbm.assigning - DEBUG - Activity 120555: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:36,072 - acbm.assigning - DEBUG - Activity 120555: sampling based on floor area\n", - "2024-05-14 18:29:36,074 - acbm.assigning - DEBUG - Activity 120557: Initial number of options for activity = 123\n", - "2024-05-14 18:29:36,081 - acbm.assigning - DEBUG - Activity 120557: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:36,082 - acbm.assigning - DEBUG - Activity 120557: sampling based on floor area\n", - "2024-05-14 18:29:36,083 - acbm.assigning - DEBUG - Activity 120559: Initial number of options for activity = 123\n", - "2024-05-14 18:29:36,086 - acbm.assigning - DEBUG - Activity 120559: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:36,087 - acbm.assigning - DEBUG - Activity 120559: sampling based on floor area\n", - "2024-05-14 18:29:36,089 - acbm.assigning - DEBUG - Activity 120563: Initial number of options for activity = 123\n", - "2024-05-14 18:29:36,091 - acbm.assigning - DEBUG - Activity 120563: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:36,092 - acbm.assigning - DEBUG - Activity 120563: sampling based on floor area\n", - "2024-05-14 18:29:36,093 - acbm.assigning - DEBUG - Activity 120737: Initial number of options for activity = 18\n", - "2024-05-14 18:29:36,096 - acbm.assigning - DEBUG - Activity 120737: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:36,097 - acbm.assigning - DEBUG - Activity 120737: sampling based on floor area\n", - "2024-05-14 18:29:36,099 - acbm.assigning - DEBUG - Activity 120828: Initial number of options for activity = 129\n", - "2024-05-14 18:29:36,102 - acbm.assigning - DEBUG - Activity 120828: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:36,103 - acbm.assigning - DEBUG - Activity 120828: sampling based on floor area\n", - "2024-05-14 18:29:36,105 - acbm.assigning - DEBUG - Activity 120830: Initial number of options for activity = 59\n", - "2024-05-14 18:29:36,107 - acbm.assigning - DEBUG - Activity 120830: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:36,109 - acbm.assigning - DEBUG - Activity 120830: sampling based on floor area\n", - "2024-05-14 18:29:36,112 - acbm.assigning - DEBUG - Activity 120836: Initial number of options for activity = 26\n", - "2024-05-14 18:29:36,115 - acbm.assigning - DEBUG - Activity 120836: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:36,116 - acbm.assigning - DEBUG - Activity 120836: sampling based on floor area\n", - "2024-05-14 18:29:36,118 - acbm.assigning - DEBUG - Activity 120841: Initial number of options for activity = 59\n", - "2024-05-14 18:29:36,120 - acbm.assigning - DEBUG - Activity 120841: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:36,121 - acbm.assigning - DEBUG - Activity 120841: sampling based on floor area\n", - "2024-05-14 18:29:36,123 - acbm.assigning - DEBUG - Activity 120843: Initial number of options for activity = 59\n", - "2024-05-14 18:29:36,125 - acbm.assigning - DEBUG - Activity 120843: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:36,126 - acbm.assigning - DEBUG - Activity 120843: sampling based on floor area\n", - "2024-05-14 18:29:36,127 - acbm.assigning - DEBUG - Activity 120845: Initial number of options for activity = 43\n", - "2024-05-14 18:29:36,129 - acbm.assigning - DEBUG - Activity 120845: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:36,130 - acbm.assigning - DEBUG - Activity 120845: sampling based on floor area\n", - "2024-05-14 18:29:36,131 - acbm.assigning - DEBUG - Activity 120847: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,134 - acbm.assigning - DEBUG - Activity 120847: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,135 - acbm.assigning - DEBUG - Activity 120847: sampling based on floor area\n", - "2024-05-14 18:29:36,137 - acbm.assigning - INFO - Activity 121038: No zones available\n", - "2024-05-14 18:29:36,138 - acbm.assigning - DEBUG - Activity 121041: Initial number of options for activity = 5\n", - "2024-05-14 18:29:36,140 - acbm.assigning - DEBUG - Activity 121041: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:36,141 - acbm.assigning - DEBUG - Activity 121041: sampling based on floor area\n", - "2024-05-14 18:29:36,142 - acbm.assigning - DEBUG - Activity 121211: Initial number of options for activity = 10\n", - "2024-05-14 18:29:36,145 - acbm.assigning - DEBUG - Activity 121211: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:36,146 - acbm.assigning - DEBUG - Activity 121211: sampling based on floor area\n", - "2024-05-14 18:29:36,147 - acbm.assigning - DEBUG - Activity 121215: Initial number of options for activity = 63\n", - "2024-05-14 18:29:36,150 - acbm.assigning - DEBUG - Activity 121215: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:36,151 - acbm.assigning - DEBUG - Activity 121215: sampling based on floor area\n", - "2024-05-14 18:29:36,152 - acbm.assigning - DEBUG - Activity 121217: Initial number of options for activity = 79\n", - "2024-05-14 18:29:36,154 - acbm.assigning - DEBUG - Activity 121217: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:36,155 - acbm.assigning - DEBUG - Activity 121217: sampling based on floor area\n", - "2024-05-14 18:29:36,156 - acbm.assigning - DEBUG - Activity 121219: Initial number of options for activity = 10\n", - "2024-05-14 18:29:36,158 - acbm.assigning - DEBUG - Activity 121219: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:36,160 - acbm.assigning - DEBUG - Activity 121219: sampling based on floor area\n", - "2024-05-14 18:29:36,162 - acbm.assigning - DEBUG - Activity 121221: Initial number of options for activity = 27\n", - "2024-05-14 18:29:36,164 - acbm.assigning - DEBUG - Activity 121221: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:36,166 - acbm.assigning - DEBUG - Activity 121221: sampling based on floor area\n", - "2024-05-14 18:29:36,167 - acbm.assigning - INFO - Activity 121283: No zones available\n", - "2024-05-14 18:29:36,168 - acbm.assigning - DEBUG - Activity 121295: Initial number of options for activity = 135\n", - "2024-05-14 18:29:36,171 - acbm.assigning - DEBUG - Activity 121295: Number of options after filtering by education type: 135\n", - "2024-05-14 18:29:36,172 - acbm.assigning - DEBUG - Activity 121295: sampling based on floor area\n", - "2024-05-14 18:29:36,174 - acbm.assigning - DEBUG - Activity 121354: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,177 - acbm.assigning - DEBUG - Activity 121354: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,178 - acbm.assigning - DEBUG - Activity 121354: sampling based on floor area\n", - "2024-05-14 18:29:36,180 - acbm.assigning - DEBUG - Activity 121355: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,182 - acbm.assigning - DEBUG - Activity 121355: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,183 - acbm.assigning - DEBUG - Activity 121355: sampling based on floor area\n", - "2024-05-14 18:29:36,186 - acbm.assigning - DEBUG - Activity 121359: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,189 - acbm.assigning - DEBUG - Activity 121359: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,190 - acbm.assigning - DEBUG - Activity 121359: sampling based on floor area\n", - "2024-05-14 18:29:36,192 - acbm.assigning - DEBUG - Activity 121360: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,194 - acbm.assigning - DEBUG - Activity 121360: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,195 - acbm.assigning - DEBUG - Activity 121360: sampling based on floor area\n", - "2024-05-14 18:29:36,197 - acbm.assigning - DEBUG - Activity 121363: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,199 - acbm.assigning - DEBUG - Activity 121363: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,200 - acbm.assigning - DEBUG - Activity 121363: sampling based on floor area\n", - "2024-05-14 18:29:36,202 - acbm.assigning - DEBUG - Activity 121406: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,205 - acbm.assigning - DEBUG - Activity 121406: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,206 - acbm.assigning - DEBUG - Activity 121406: sampling based on floor area\n", - "2024-05-14 18:29:36,207 - acbm.assigning - DEBUG - Activity 121410: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,209 - acbm.assigning - DEBUG - Activity 121410: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,209 - acbm.assigning - DEBUG - Activity 121410: sampling based on floor area\n", - "2024-05-14 18:29:36,210 - acbm.assigning - DEBUG - Activity 121413: Initial number of options for activity = 19\n", - "2024-05-14 18:29:36,214 - acbm.assigning - DEBUG - Activity 121413: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:36,214 - acbm.assigning - DEBUG - Activity 121413: sampling based on floor area\n", - "2024-05-14 18:29:36,216 - acbm.assigning - DEBUG - Activity 121414: Initial number of options for activity = 19\n", - "2024-05-14 18:29:36,218 - acbm.assigning - DEBUG - Activity 121414: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:36,219 - acbm.assigning - DEBUG - Activity 121414: sampling based on floor area\n", - "2024-05-14 18:29:36,220 - acbm.assigning - DEBUG - Activity 121415: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,221 - acbm.assigning - DEBUG - Activity 121415: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,222 - acbm.assigning - DEBUG - Activity 121415: sampling based on floor area\n", - "2024-05-14 18:29:36,223 - acbm.assigning - DEBUG - Activity 121417: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,224 - acbm.assigning - DEBUG - Activity 121417: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,225 - acbm.assigning - DEBUG - Activity 121417: sampling based on floor area\n", - "2024-05-14 18:29:36,226 - acbm.assigning - DEBUG - Activity 121522: Initial number of options for activity = 42\n", - "2024-05-14 18:29:36,229 - acbm.assigning - DEBUG - Activity 121522: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:36,231 - acbm.assigning - DEBUG - Activity 121522: sampling based on floor area\n", - "2024-05-14 18:29:36,232 - acbm.assigning - DEBUG - Activity 121524: Initial number of options for activity = 42\n", - "2024-05-14 18:29:36,234 - acbm.assigning - DEBUG - Activity 121524: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:36,236 - acbm.assigning - DEBUG - Activity 121524: sampling based on floor area\n", - "2024-05-14 18:29:36,237 - acbm.assigning - DEBUG - Activity 121526: Initial number of options for activity = 42\n", - "2024-05-14 18:29:36,240 - acbm.assigning - DEBUG - Activity 121526: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:36,241 - acbm.assigning - DEBUG - Activity 121526: sampling based on floor area\n", - "2024-05-14 18:29:36,243 - acbm.assigning - DEBUG - Activity 121528: Initial number of options for activity = 42\n", - "2024-05-14 18:29:36,246 - acbm.assigning - DEBUG - Activity 121528: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:36,247 - acbm.assigning - DEBUG - Activity 121528: sampling based on floor area\n", - "2024-05-14 18:29:36,249 - acbm.assigning - DEBUG - Activity 121639: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,252 - acbm.assigning - DEBUG - Activity 121639: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,253 - acbm.assigning - DEBUG - Activity 121639: sampling based on floor area\n", - "2024-05-14 18:29:36,255 - acbm.assigning - DEBUG - Activity 121641: Initial number of options for activity = 19\n", - "2024-05-14 18:29:36,258 - acbm.assigning - DEBUG - Activity 121641: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:36,259 - acbm.assigning - DEBUG - Activity 121641: sampling based on floor area\n", - "2024-05-14 18:29:36,261 - acbm.assigning - DEBUG - Activity 121642: Initial number of options for activity = 19\n", - "2024-05-14 18:29:36,264 - acbm.assigning - DEBUG - Activity 121642: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:36,265 - acbm.assigning - DEBUG - Activity 121642: sampling based on floor area\n", - "2024-05-14 18:29:36,267 - acbm.assigning - DEBUG - Activity 121644: Initial number of options for activity = 19\n", - "2024-05-14 18:29:36,270 - acbm.assigning - DEBUG - Activity 121644: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:36,271 - acbm.assigning - DEBUG - Activity 121644: sampling based on floor area\n", - "2024-05-14 18:29:36,273 - acbm.assigning - DEBUG - Activity 121645: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,276 - acbm.assigning - DEBUG - Activity 121645: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,277 - acbm.assigning - DEBUG - Activity 121645: sampling based on floor area\n", - "2024-05-14 18:29:36,279 - acbm.assigning - DEBUG - Activity 121796: Initial number of options for activity = 9\n", - "2024-05-14 18:29:36,281 - acbm.assigning - DEBUG - Activity 121796: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:36,282 - acbm.assigning - DEBUG - Activity 121796: sampling based on floor area\n", - "2024-05-14 18:29:36,284 - acbm.assigning - DEBUG - Activity 121810: Initial number of options for activity = 9\n", - "2024-05-14 18:29:36,286 - acbm.assigning - DEBUG - Activity 121810: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:36,287 - acbm.assigning - DEBUG - Activity 121810: sampling based on floor area\n", - "2024-05-14 18:29:36,288 - acbm.assigning - DEBUG - Activity 121816: Initial number of options for activity = 9\n", - "2024-05-14 18:29:36,289 - acbm.assigning - DEBUG - Activity 121816: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:36,290 - acbm.assigning - DEBUG - Activity 121816: sampling based on floor area\n", - "2024-05-14 18:29:36,291 - acbm.assigning - DEBUG - Activity 121819: Initial number of options for activity = 42\n", - "2024-05-14 18:29:36,292 - acbm.assigning - DEBUG - Activity 121819: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:36,293 - acbm.assigning - DEBUG - Activity 121819: sampling based on floor area\n", - "2024-05-14 18:29:36,294 - acbm.assigning - DEBUG - Activity 121998: Initial number of options for activity = 126\n", - "2024-05-14 18:29:36,297 - acbm.assigning - DEBUG - Activity 121998: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:36,298 - acbm.assigning - DEBUG - Activity 121998: sampling based on floor area\n", - "2024-05-14 18:29:36,299 - acbm.assigning - DEBUG - Activity 122000: Initial number of options for activity = 126\n", - "2024-05-14 18:29:36,301 - acbm.assigning - DEBUG - Activity 122000: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:36,302 - acbm.assigning - DEBUG - Activity 122000: sampling based on floor area\n", - "2024-05-14 18:29:36,303 - acbm.assigning - DEBUG - Activity 122004: Initial number of options for activity = 126\n", - "2024-05-14 18:29:36,305 - acbm.assigning - DEBUG - Activity 122004: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:36,306 - acbm.assigning - DEBUG - Activity 122004: sampling based on floor area\n", - "2024-05-14 18:29:36,307 - acbm.assigning - DEBUG - Activity 122006: Initial number of options for activity = 126\n", - "2024-05-14 18:29:36,309 - acbm.assigning - DEBUG - Activity 122006: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:36,310 - acbm.assigning - DEBUG - Activity 122006: sampling based on floor area\n", - "2024-05-14 18:29:36,312 - acbm.assigning - DEBUG - Activity 122008: Initial number of options for activity = 126\n", - "2024-05-14 18:29:36,314 - acbm.assigning - DEBUG - Activity 122008: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:36,315 - acbm.assigning - DEBUG - Activity 122008: sampling based on floor area\n", - "2024-05-14 18:29:36,316 - acbm.assigning - DEBUG - Activity 122072: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,318 - acbm.assigning - DEBUG - Activity 122072: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,319 - acbm.assigning - DEBUG - Activity 122072: sampling based on floor area\n", - "2024-05-14 18:29:36,321 - acbm.assigning - DEBUG - Activity 122074: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,324 - acbm.assigning - DEBUG - Activity 122074: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,325 - acbm.assigning - DEBUG - Activity 122074: sampling based on floor area\n", - "2024-05-14 18:29:36,326 - acbm.assigning - DEBUG - Activity 122078: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,328 - acbm.assigning - DEBUG - Activity 122078: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,331 - acbm.assigning - DEBUG - Activity 122078: sampling based on floor area\n", - "2024-05-14 18:29:36,333 - acbm.assigning - DEBUG - Activity 122083: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,336 - acbm.assigning - DEBUG - Activity 122083: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,338 - acbm.assigning - DEBUG - Activity 122083: sampling based on floor area\n", - "2024-05-14 18:29:36,339 - acbm.assigning - DEBUG - Activity 122085: Initial number of options for activity = 11\n", - "2024-05-14 18:29:36,343 - acbm.assigning - DEBUG - Activity 122085: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:36,344 - acbm.assigning - DEBUG - Activity 122085: sampling based on floor area\n", - "2024-05-14 18:29:36,346 - acbm.assigning - DEBUG - Activity 122132: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,349 - acbm.assigning - DEBUG - Activity 122132: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,350 - acbm.assigning - DEBUG - Activity 122132: sampling based on floor area\n", - "2024-05-14 18:29:36,352 - acbm.assigning - DEBUG - Activity 122135: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,353 - acbm.assigning - DEBUG - Activity 122135: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,354 - acbm.assigning - DEBUG - Activity 122135: sampling based on floor area\n", - "2024-05-14 18:29:36,356 - acbm.assigning - DEBUG - Activity 122137: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,359 - acbm.assigning - DEBUG - Activity 122137: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,361 - acbm.assigning - DEBUG - Activity 122137: sampling based on floor area\n", - "2024-05-14 18:29:36,363 - acbm.assigning - DEBUG - Activity 122139: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,366 - acbm.assigning - DEBUG - Activity 122139: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,367 - acbm.assigning - DEBUG - Activity 122139: sampling based on floor area\n", - "2024-05-14 18:29:36,368 - acbm.assigning - DEBUG - Activity 122143: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,370 - acbm.assigning - DEBUG - Activity 122143: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,371 - acbm.assigning - DEBUG - Activity 122143: sampling based on floor area\n", - "2024-05-14 18:29:36,372 - acbm.assigning - INFO - Activity 122176: No zones available\n", - "2024-05-14 18:29:36,373 - acbm.assigning - DEBUG - Activity 122259: Initial number of options for activity = 66\n", - "2024-05-14 18:29:36,375 - acbm.assigning - DEBUG - Activity 122259: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:36,376 - acbm.assigning - DEBUG - Activity 122259: sampling based on floor area\n", - "2024-05-14 18:29:36,377 - acbm.assigning - DEBUG - Activity 122263: Initial number of options for activity = 66\n", - "2024-05-14 18:29:36,379 - acbm.assigning - DEBUG - Activity 122263: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:36,380 - acbm.assigning - DEBUG - Activity 122263: sampling based on floor area\n", - "2024-05-14 18:29:36,381 - acbm.assigning - DEBUG - Activity 122267: Initial number of options for activity = 66\n", - "2024-05-14 18:29:36,383 - acbm.assigning - DEBUG - Activity 122267: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:36,384 - acbm.assigning - DEBUG - Activity 122267: sampling based on floor area\n", - "2024-05-14 18:29:36,385 - acbm.assigning - DEBUG - Activity 122270: Initial number of options for activity = 66\n", - "2024-05-14 18:29:36,387 - acbm.assigning - DEBUG - Activity 122270: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:36,388 - acbm.assigning - DEBUG - Activity 122270: sampling based on floor area\n", - "2024-05-14 18:29:36,389 - acbm.assigning - DEBUG - Activity 122278: Initial number of options for activity = 66\n", - "2024-05-14 18:29:36,390 - acbm.assigning - DEBUG - Activity 122278: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:36,391 - acbm.assigning - DEBUG - Activity 122278: sampling based on floor area\n", - "2024-05-14 18:29:36,392 - acbm.assigning - DEBUG - Activity 122554: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,394 - acbm.assigning - DEBUG - Activity 122554: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,395 - acbm.assigning - DEBUG - Activity 122554: sampling based on floor area\n", - "2024-05-14 18:29:36,397 - acbm.assigning - INFO - Activity 122556: No zones available\n", - "2024-05-14 18:29:36,397 - acbm.assigning - DEBUG - Activity 122622: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,399 - acbm.assigning - DEBUG - Activity 122622: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,400 - acbm.assigning - DEBUG - Activity 122622: sampling based on floor area\n", - "2024-05-14 18:29:36,401 - acbm.assigning - DEBUG - Activity 122623: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,402 - acbm.assigning - DEBUG - Activity 122623: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,403 - acbm.assigning - DEBUG - Activity 122623: sampling based on floor area\n", - "2024-05-14 18:29:36,404 - acbm.assigning - DEBUG - Activity 122624: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,407 - acbm.assigning - DEBUG - Activity 122624: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,408 - acbm.assigning - DEBUG - Activity 122624: sampling based on floor area\n", - "2024-05-14 18:29:36,410 - acbm.assigning - DEBUG - Activity 122627: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,415 - acbm.assigning - DEBUG - Activity 122627: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,417 - acbm.assigning - DEBUG - Activity 122627: sampling based on floor area\n", - "2024-05-14 18:29:36,420 - acbm.assigning - DEBUG - Activity 122628: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,423 - acbm.assigning - DEBUG - Activity 122628: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,424 - acbm.assigning - DEBUG - Activity 122628: sampling based on floor area\n", - "2024-05-14 18:29:36,425 - acbm.assigning - DEBUG - Activity 122910: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,427 - acbm.assigning - DEBUG - Activity 122910: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,427 - acbm.assigning - DEBUG - Activity 122910: sampling based on floor area\n", - "2024-05-14 18:29:36,428 - acbm.assigning - DEBUG - Activity 123091: Initial number of options for activity = 115\n", - "2024-05-14 18:29:36,432 - acbm.assigning - DEBUG - Activity 123091: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:36,433 - acbm.assigning - DEBUG - Activity 123091: sampling based on floor area\n", - "2024-05-14 18:29:36,435 - acbm.assigning - DEBUG - Activity 123093: Initial number of options for activity = 115\n", - "2024-05-14 18:29:36,437 - acbm.assigning - DEBUG - Activity 123093: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:36,438 - acbm.assigning - DEBUG - Activity 123093: sampling based on floor area\n", - "2024-05-14 18:29:36,440 - acbm.assigning - DEBUG - Activity 123095: Initial number of options for activity = 115\n", - "2024-05-14 18:29:36,443 - acbm.assigning - DEBUG - Activity 123095: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:36,443 - acbm.assigning - DEBUG - Activity 123095: sampling based on floor area\n", - "2024-05-14 18:29:36,445 - acbm.assigning - DEBUG - Activity 123097: Initial number of options for activity = 115\n", - "2024-05-14 18:29:36,447 - acbm.assigning - DEBUG - Activity 123097: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:36,448 - acbm.assigning - DEBUG - Activity 123097: sampling based on floor area\n", - "2024-05-14 18:29:36,449 - acbm.assigning - INFO - Activity 123203: No zones available\n", - "2024-05-14 18:29:36,450 - acbm.assigning - DEBUG - Activity 123428: Initial number of options for activity = 13\n", - "2024-05-14 18:29:36,453 - acbm.assigning - DEBUG - Activity 123428: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:36,454 - acbm.assigning - DEBUG - Activity 123428: sampling based on floor area\n", - "2024-05-14 18:29:36,455 - acbm.assigning - DEBUG - Activity 123430: Initial number of options for activity = 13\n", - "2024-05-14 18:29:36,458 - acbm.assigning - DEBUG - Activity 123430: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:36,459 - acbm.assigning - DEBUG - Activity 123430: sampling based on floor area\n", - "2024-05-14 18:29:36,462 - acbm.assigning - DEBUG - Activity 123432: Initial number of options for activity = 13\n", - "2024-05-14 18:29:36,466 - acbm.assigning - DEBUG - Activity 123432: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:36,468 - acbm.assigning - DEBUG - Activity 123432: sampling based on floor area\n", - "2024-05-14 18:29:36,469 - acbm.assigning - DEBUG - Activity 123434: Initial number of options for activity = 13\n", - "2024-05-14 18:29:36,471 - acbm.assigning - DEBUG - Activity 123434: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:36,472 - acbm.assigning - DEBUG - Activity 123434: sampling based on floor area\n", - "2024-05-14 18:29:36,473 - acbm.assigning - DEBUG - Activity 123440: Initial number of options for activity = 13\n", - "2024-05-14 18:29:36,476 - acbm.assigning - DEBUG - Activity 123440: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:36,477 - acbm.assigning - DEBUG - Activity 123440: sampling based on floor area\n", - "2024-05-14 18:29:36,478 - acbm.assigning - DEBUG - Activity 123529: Initial number of options for activity = 6\n", - "2024-05-14 18:29:36,482 - acbm.assigning - DEBUG - Activity 123529: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:36,483 - acbm.assigning - DEBUG - Activity 123529: sampling based on floor area\n", - "2024-05-14 18:29:36,484 - acbm.assigning - DEBUG - Activity 123530: Initial number of options for activity = 3\n", - "2024-05-14 18:29:36,486 - acbm.assigning - DEBUG - Activity 123530: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:36,487 - acbm.assigning - DEBUG - Activity 123530: sampling based on floor area\n", - "2024-05-14 18:29:36,489 - acbm.assigning - DEBUG - Activity 123531: Initial number of options for activity = 6\n", - "2024-05-14 18:29:36,491 - acbm.assigning - DEBUG - Activity 123531: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:36,492 - acbm.assigning - DEBUG - Activity 123531: sampling based on floor area\n", - "2024-05-14 18:29:36,493 - acbm.assigning - DEBUG - Activity 123615: Initial number of options for activity = 7\n", - "2024-05-14 18:29:36,494 - acbm.assigning - DEBUG - Activity 123615: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:36,495 - acbm.assigning - DEBUG - Activity 123615: sampling based on floor area\n", - "2024-05-14 18:29:36,496 - acbm.assigning - DEBUG - Activity 123617: Initial number of options for activity = 7\n", - "2024-05-14 18:29:36,498 - acbm.assigning - DEBUG - Activity 123617: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:36,499 - acbm.assigning - DEBUG - Activity 123617: sampling based on floor area\n", - "2024-05-14 18:29:36,500 - acbm.assigning - DEBUG - Activity 123621: Initial number of options for activity = 7\n", - "2024-05-14 18:29:36,502 - acbm.assigning - DEBUG - Activity 123621: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:36,504 - acbm.assigning - DEBUG - Activity 123621: sampling based on floor area\n", - "2024-05-14 18:29:36,505 - acbm.assigning - DEBUG - Activity 123626: Initial number of options for activity = 7\n", - "2024-05-14 18:29:36,507 - acbm.assigning - DEBUG - Activity 123626: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:36,508 - acbm.assigning - DEBUG - Activity 123626: sampling based on floor area\n", - "2024-05-14 18:29:36,509 - acbm.assigning - DEBUG - Activity 123628: Initial number of options for activity = 7\n", - "2024-05-14 18:29:36,512 - acbm.assigning - DEBUG - Activity 123628: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:36,513 - acbm.assigning - DEBUG - Activity 123628: sampling based on floor area\n", - "2024-05-14 18:29:36,515 - acbm.assigning - INFO - Activity 123670: No zones available\n", - "2024-05-14 18:29:36,516 - acbm.assigning - DEBUG - Activity 123687: Initial number of options for activity = 8\n", - "2024-05-14 18:29:36,518 - acbm.assigning - DEBUG - Activity 123687: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:36,520 - acbm.assigning - DEBUG - Activity 123687: sampling based on floor area\n", - "2024-05-14 18:29:36,521 - acbm.assigning - DEBUG - Activity 123691: Initial number of options for activity = 8\n", - "2024-05-14 18:29:36,524 - acbm.assigning - DEBUG - Activity 123691: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:36,525 - acbm.assigning - DEBUG - Activity 123691: sampling based on floor area\n", - "2024-05-14 18:29:36,527 - acbm.assigning - DEBUG - Activity 123877: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,530 - acbm.assigning - DEBUG - Activity 123877: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,531 - acbm.assigning - DEBUG - Activity 123877: sampling based on floor area\n", - "2024-05-14 18:29:36,533 - acbm.assigning - DEBUG - Activity 123914: Initial number of options for activity = 37\n", - "2024-05-14 18:29:36,535 - acbm.assigning - DEBUG - Activity 123914: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:36,536 - acbm.assigning - DEBUG - Activity 123914: sampling based on floor area\n", - "2024-05-14 18:29:36,538 - acbm.assigning - DEBUG - Activity 123918: Initial number of options for activity = 42\n", - "2024-05-14 18:29:36,540 - acbm.assigning - DEBUG - Activity 123918: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:36,541 - acbm.assigning - DEBUG - Activity 123918: sampling based on floor area\n", - "2024-05-14 18:29:36,542 - acbm.assigning - DEBUG - Activity 123920: Initial number of options for activity = 23\n", - "2024-05-14 18:29:36,544 - acbm.assigning - DEBUG - Activity 123920: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:36,546 - acbm.assigning - DEBUG - Activity 123920: sampling based on floor area\n", - "2024-05-14 18:29:36,548 - acbm.assigning - DEBUG - Activity 123922: Initial number of options for activity = 40\n", - "2024-05-14 18:29:36,550 - acbm.assigning - DEBUG - Activity 123922: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:36,551 - acbm.assigning - DEBUG - Activity 123922: sampling based on floor area\n", - "2024-05-14 18:29:36,552 - acbm.assigning - DEBUG - Activity 123925: Initial number of options for activity = 23\n", - "2024-05-14 18:29:36,556 - acbm.assigning - DEBUG - Activity 123925: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:36,556 - acbm.assigning - DEBUG - Activity 123925: sampling based on floor area\n", - "2024-05-14 18:29:36,558 - acbm.assigning - DEBUG - Activity 124058: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,560 - acbm.assigning - DEBUG - Activity 124058: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,562 - acbm.assigning - DEBUG - Activity 124058: sampling based on floor area\n", - "2024-05-14 18:29:36,563 - acbm.assigning - INFO - Activity 124066: No zones available\n", - "2024-05-14 18:29:36,564 - acbm.assigning - DEBUG - Activity 124070: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,568 - acbm.assigning - DEBUG - Activity 124070: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,569 - acbm.assigning - DEBUG - Activity 124070: sampling based on floor area\n", - "2024-05-14 18:29:36,570 - acbm.assigning - DEBUG - Activity 124177: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,576 - acbm.assigning - DEBUG - Activity 124177: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,580 - acbm.assigning - DEBUG - Activity 124177: sampling based on floor area\n", - "2024-05-14 18:29:36,582 - acbm.assigning - DEBUG - Activity 124283: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,585 - acbm.assigning - DEBUG - Activity 124283: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,586 - acbm.assigning - DEBUG - Activity 124283: sampling based on floor area\n", - "2024-05-14 18:29:36,588 - acbm.assigning - DEBUG - Activity 124299: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,589 - acbm.assigning - DEBUG - Activity 124299: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,591 - acbm.assigning - DEBUG - Activity 124299: sampling based on floor area\n", - "2024-05-14 18:29:36,592 - acbm.assigning - DEBUG - Activity 124304: Initial number of options for activity = 37\n", - "2024-05-14 18:29:36,595 - acbm.assigning - DEBUG - Activity 124304: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:36,596 - acbm.assigning - DEBUG - Activity 124304: sampling based on floor area\n", - "2024-05-14 18:29:36,598 - acbm.assigning - DEBUG - Activity 124308: Initial number of options for activity = 37\n", - "2024-05-14 18:29:36,601 - acbm.assigning - DEBUG - Activity 124308: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:36,602 - acbm.assigning - DEBUG - Activity 124308: sampling based on floor area\n", - "2024-05-14 18:29:36,604 - acbm.assigning - DEBUG - Activity 124312: Initial number of options for activity = 37\n", - "2024-05-14 18:29:36,607 - acbm.assigning - DEBUG - Activity 124312: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:36,608 - acbm.assigning - DEBUG - Activity 124312: sampling based on floor area\n", - "2024-05-14 18:29:36,609 - acbm.assigning - DEBUG - Activity 124318: Initial number of options for activity = 37\n", - "2024-05-14 18:29:36,611 - acbm.assigning - DEBUG - Activity 124318: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:36,612 - acbm.assigning - DEBUG - Activity 124318: sampling based on floor area\n", - "2024-05-14 18:29:36,614 - acbm.assigning - DEBUG - Activity 124484: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,616 - acbm.assigning - DEBUG - Activity 124484: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,617 - acbm.assigning - DEBUG - Activity 124484: sampling based on floor area\n", - "2024-05-14 18:29:36,618 - acbm.assigning - DEBUG - Activity 124488: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,620 - acbm.assigning - DEBUG - Activity 124488: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,621 - acbm.assigning - DEBUG - Activity 124488: sampling based on floor area\n", - "2024-05-14 18:29:36,622 - acbm.assigning - DEBUG - Activity 124490: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,624 - acbm.assigning - DEBUG - Activity 124490: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,625 - acbm.assigning - DEBUG - Activity 124490: sampling based on floor area\n", - "2024-05-14 18:29:36,626 - acbm.assigning - DEBUG - Activity 124494: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,630 - acbm.assigning - DEBUG - Activity 124494: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,631 - acbm.assigning - DEBUG - Activity 124494: sampling based on floor area\n", - "2024-05-14 18:29:36,633 - acbm.assigning - DEBUG - Activity 124496: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,635 - acbm.assigning - DEBUG - Activity 124496: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,637 - acbm.assigning - DEBUG - Activity 124496: sampling based on floor area\n", - "2024-05-14 18:29:36,638 - acbm.assigning - INFO - Activity 124549: No zones available\n", - "2024-05-14 18:29:36,639 - acbm.assigning - INFO - Activity 124551: No zones available\n", - "2024-05-14 18:29:36,639 - acbm.assigning - INFO - Activity 124553: No zones available\n", - "2024-05-14 18:29:36,640 - acbm.assigning - INFO - Activity 124555: No zones available\n", - "2024-05-14 18:29:36,641 - acbm.assigning - INFO - Activity 124559: No zones available\n", - "2024-05-14 18:29:36,642 - acbm.assigning - INFO - Activity 124561: No zones available\n", - "2024-05-14 18:29:36,642 - acbm.assigning - INFO - Activity 124567: No zones available\n", - "2024-05-14 18:29:36,643 - acbm.assigning - INFO - Activity 124569: No zones available\n", - "2024-05-14 18:29:36,644 - acbm.assigning - INFO - Activity 124573: No zones available\n", - "2024-05-14 18:29:36,645 - acbm.assigning - INFO - Activity 124575: No zones available\n", - "2024-05-14 18:29:36,646 - acbm.assigning - DEBUG - Activity 124760: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,648 - acbm.assigning - DEBUG - Activity 124760: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,649 - acbm.assigning - DEBUG - Activity 124760: sampling based on floor area\n", - "2024-05-14 18:29:36,650 - acbm.assigning - DEBUG - Activity 124762: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,653 - acbm.assigning - DEBUG - Activity 124762: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,653 - acbm.assigning - DEBUG - Activity 124762: sampling based on floor area\n", - "2024-05-14 18:29:36,655 - acbm.assigning - DEBUG - Activity 124766: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,658 - acbm.assigning - DEBUG - Activity 124766: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,659 - acbm.assigning - DEBUG - Activity 124766: sampling based on floor area\n", - "2024-05-14 18:29:36,660 - acbm.assigning - DEBUG - Activity 124768: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,664 - acbm.assigning - DEBUG - Activity 124768: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,665 - acbm.assigning - DEBUG - Activity 124768: sampling based on floor area\n", - "2024-05-14 18:29:36,666 - acbm.assigning - DEBUG - Activity 124770: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,669 - acbm.assigning - DEBUG - Activity 124770: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,670 - acbm.assigning - DEBUG - Activity 124770: sampling based on floor area\n", - "2024-05-14 18:29:36,672 - acbm.assigning - DEBUG - Activity 124950: Initial number of options for activity = 14\n", - "2024-05-14 18:29:36,674 - acbm.assigning - DEBUG - Activity 124950: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:36,675 - acbm.assigning - DEBUG - Activity 124950: sampling based on floor area\n", - "2024-05-14 18:29:36,677 - acbm.assigning - DEBUG - Activity 124959: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,680 - acbm.assigning - DEBUG - Activity 124959: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,681 - acbm.assigning - DEBUG - Activity 124959: sampling based on floor area\n", - "2024-05-14 18:29:36,683 - acbm.assigning - DEBUG - Activity 124998: Initial number of options for activity = 12\n", - "2024-05-14 18:29:36,686 - acbm.assigning - DEBUG - Activity 124998: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:36,687 - acbm.assigning - DEBUG - Activity 124998: sampling based on floor area\n", - "2024-05-14 18:29:36,688 - acbm.assigning - DEBUG - Activity 125000: Initial number of options for activity = 12\n", - "2024-05-14 18:29:36,689 - acbm.assigning - DEBUG - Activity 125000: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:36,690 - acbm.assigning - DEBUG - Activity 125000: sampling based on floor area\n", - "2024-05-14 18:29:36,691 - acbm.assigning - DEBUG - Activity 125004: Initial number of options for activity = 7\n", - "2024-05-14 18:29:36,693 - acbm.assigning - DEBUG - Activity 125004: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:36,694 - acbm.assigning - DEBUG - Activity 125004: sampling based on floor area\n", - "2024-05-14 18:29:36,695 - acbm.assigning - DEBUG - Activity 125036: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,697 - acbm.assigning - DEBUG - Activity 125036: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,698 - acbm.assigning - DEBUG - Activity 125036: sampling based on floor area\n", - "2024-05-14 18:29:36,700 - acbm.assigning - DEBUG - Activity 125038: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,701 - acbm.assigning - DEBUG - Activity 125038: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,702 - acbm.assigning - DEBUG - Activity 125038: sampling based on floor area\n", - "2024-05-14 18:29:36,703 - acbm.assigning - DEBUG - Activity 125040: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,704 - acbm.assigning - DEBUG - Activity 125040: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,705 - acbm.assigning - DEBUG - Activity 125040: sampling based on floor area\n", - "2024-05-14 18:29:36,706 - acbm.assigning - DEBUG - Activity 125042: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,708 - acbm.assigning - DEBUG - Activity 125042: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,709 - acbm.assigning - DEBUG - Activity 125042: sampling based on floor area\n", - "2024-05-14 18:29:36,710 - acbm.assigning - DEBUG - Activity 125044: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,712 - acbm.assigning - DEBUG - Activity 125044: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,713 - acbm.assigning - DEBUG - Activity 125044: sampling based on floor area\n", - "2024-05-14 18:29:36,714 - acbm.assigning - DEBUG - Activity 125109: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,724 - acbm.assigning - DEBUG - Activity 125109: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,725 - acbm.assigning - DEBUG - Activity 125109: sampling based on floor area\n", - "2024-05-14 18:29:36,727 - acbm.assigning - DEBUG - Activity 125111: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,730 - acbm.assigning - DEBUG - Activity 125111: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,731 - acbm.assigning - DEBUG - Activity 125111: sampling based on floor area\n", - "2024-05-14 18:29:36,734 - acbm.assigning - DEBUG - Activity 125113: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,736 - acbm.assigning - DEBUG - Activity 125113: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,737 - acbm.assigning - DEBUG - Activity 125113: sampling based on floor area\n", - "2024-05-14 18:29:36,738 - acbm.assigning - DEBUG - Activity 125115: Initial number of options for activity = 110\n", - "2024-05-14 18:29:36,741 - acbm.assigning - DEBUG - Activity 125115: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:36,741 - acbm.assigning - DEBUG - Activity 125115: sampling based on floor area\n", - "2024-05-14 18:29:36,745 - acbm.assigning - DEBUG - Activity 125315: Initial number of options for activity = 43\n", - "2024-05-14 18:29:36,748 - acbm.assigning - DEBUG - Activity 125315: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:36,749 - acbm.assigning - DEBUG - Activity 125315: sampling based on floor area\n", - "2024-05-14 18:29:36,751 - acbm.assigning - DEBUG - Activity 125323: Initial number of options for activity = 28\n", - "2024-05-14 18:29:36,753 - acbm.assigning - DEBUG - Activity 125323: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:36,754 - acbm.assigning - DEBUG - Activity 125323: sampling based on floor area\n", - "2024-05-14 18:29:36,755 - acbm.assigning - DEBUG - Activity 125327: Initial number of options for activity = 43\n", - "2024-05-14 18:29:36,757 - acbm.assigning - DEBUG - Activity 125327: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:36,758 - acbm.assigning - DEBUG - Activity 125327: sampling based on floor area\n", - "2024-05-14 18:29:36,758 - acbm.assigning - DEBUG - Activity 125328: Initial number of options for activity = 43\n", - "2024-05-14 18:29:36,760 - acbm.assigning - DEBUG - Activity 125328: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:36,761 - acbm.assigning - DEBUG - Activity 125328: sampling based on floor area\n", - "2024-05-14 18:29:36,761 - acbm.assigning - DEBUG - Activity 125333: Initial number of options for activity = 43\n", - "2024-05-14 18:29:36,764 - acbm.assigning - DEBUG - Activity 125333: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:36,765 - acbm.assigning - DEBUG - Activity 125333: sampling based on floor area\n", - "2024-05-14 18:29:36,767 - acbm.assigning - DEBUG - Activity 125344: Initial number of options for activity = 17\n", - "2024-05-14 18:29:36,769 - acbm.assigning - DEBUG - Activity 125344: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:36,770 - acbm.assigning - DEBUG - Activity 125344: sampling based on floor area\n", - "2024-05-14 18:29:36,772 - acbm.assigning - DEBUG - Activity 125357: Initial number of options for activity = 17\n", - "2024-05-14 18:29:36,775 - acbm.assigning - DEBUG - Activity 125357: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:36,775 - acbm.assigning - DEBUG - Activity 125357: sampling based on floor area\n", - "2024-05-14 18:29:36,776 - acbm.assigning - DEBUG - Activity 125360: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,778 - acbm.assigning - DEBUG - Activity 125360: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,779 - acbm.assigning - DEBUG - Activity 125360: sampling based on floor area\n", - "2024-05-14 18:29:36,781 - acbm.assigning - DEBUG - Activity 125366: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,783 - acbm.assigning - DEBUG - Activity 125366: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,785 - acbm.assigning - DEBUG - Activity 125366: sampling based on floor area\n", - "2024-05-14 18:29:36,786 - acbm.assigning - DEBUG - Activity 125368: Initial number of options for activity = 17\n", - "2024-05-14 18:29:36,789 - acbm.assigning - DEBUG - Activity 125368: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:36,799 - acbm.assigning - DEBUG - Activity 125368: sampling based on floor area\n", - "2024-05-14 18:29:36,801 - acbm.assigning - DEBUG - Activity 125534: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,803 - acbm.assigning - DEBUG - Activity 125534: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,804 - acbm.assigning - DEBUG - Activity 125534: sampling based on floor area\n", - "2024-05-14 18:29:36,806 - acbm.assigning - DEBUG - Activity 125696: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,810 - acbm.assigning - DEBUG - Activity 125696: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,811 - acbm.assigning - DEBUG - Activity 125696: sampling based on floor area\n", - "2024-05-14 18:29:36,813 - acbm.assigning - DEBUG - Activity 125697: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,815 - acbm.assigning - DEBUG - Activity 125697: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,816 - acbm.assigning - DEBUG - Activity 125697: sampling based on floor area\n", - "2024-05-14 18:29:36,818 - acbm.assigning - DEBUG - Activity 125699: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,821 - acbm.assigning - DEBUG - Activity 125699: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,822 - acbm.assigning - DEBUG - Activity 125699: sampling based on floor area\n", - "2024-05-14 18:29:36,824 - acbm.assigning - DEBUG - Activity 125700: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,826 - acbm.assigning - DEBUG - Activity 125700: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,827 - acbm.assigning - DEBUG - Activity 125700: sampling based on floor area\n", - "2024-05-14 18:29:36,828 - acbm.assigning - DEBUG - Activity 125756: Initial number of options for activity = 54\n", - "2024-05-14 18:29:36,831 - acbm.assigning - DEBUG - Activity 125756: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:36,832 - acbm.assigning - DEBUG - Activity 125756: sampling based on floor area\n", - "2024-05-14 18:29:36,833 - acbm.assigning - DEBUG - Activity 125760: Initial number of options for activity = 22\n", - "2024-05-14 18:29:36,837 - acbm.assigning - DEBUG - Activity 125760: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:36,838 - acbm.assigning - DEBUG - Activity 125760: sampling based on floor area\n", - "2024-05-14 18:29:36,839 - acbm.assigning - DEBUG - Activity 125762: Initial number of options for activity = 45\n", - "2024-05-14 18:29:36,842 - acbm.assigning - DEBUG - Activity 125762: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:36,842 - acbm.assigning - DEBUG - Activity 125762: sampling based on floor area\n", - "2024-05-14 18:29:36,843 - acbm.assigning - DEBUG - Activity 125763: Initial number of options for activity = 45\n", - "2024-05-14 18:29:36,846 - acbm.assigning - DEBUG - Activity 125763: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:36,847 - acbm.assigning - DEBUG - Activity 125763: sampling based on floor area\n", - "2024-05-14 18:29:36,848 - acbm.assigning - DEBUG - Activity 125764: Initial number of options for activity = 45\n", - "2024-05-14 18:29:36,851 - acbm.assigning - DEBUG - Activity 125764: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:36,851 - acbm.assigning - DEBUG - Activity 125764: sampling based on floor area\n", - "2024-05-14 18:29:36,862 - acbm.assigning - DEBUG - Activity 125768: Initial number of options for activity = 45\n", - "2024-05-14 18:29:36,868 - acbm.assigning - DEBUG - Activity 125768: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:36,869 - acbm.assigning - DEBUG - Activity 125768: sampling based on floor area\n", - "2024-05-14 18:29:36,871 - acbm.assigning - DEBUG - Activity 125770: Initial number of options for activity = 22\n", - "2024-05-14 18:29:36,873 - acbm.assigning - DEBUG - Activity 125770: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:36,874 - acbm.assigning - DEBUG - Activity 125770: sampling based on floor area\n", - "2024-05-14 18:29:36,876 - acbm.assigning - DEBUG - Activity 125771: Initial number of options for activity = 45\n", - "2024-05-14 18:29:36,878 - acbm.assigning - DEBUG - Activity 125771: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:36,879 - acbm.assigning - DEBUG - Activity 125771: sampling based on floor area\n", - "2024-05-14 18:29:36,881 - acbm.assigning - DEBUG - Activity 125776: Initial number of options for activity = 54\n", - "2024-05-14 18:29:36,883 - acbm.assigning - DEBUG - Activity 125776: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:36,885 - acbm.assigning - DEBUG - Activity 125776: sampling based on floor area\n", - "2024-05-14 18:29:36,887 - acbm.assigning - DEBUG - Activity 125778: Initial number of options for activity = 45\n", - "2024-05-14 18:29:36,890 - acbm.assigning - DEBUG - Activity 125778: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:36,890 - acbm.assigning - DEBUG - Activity 125778: sampling based on floor area\n", - "2024-05-14 18:29:36,891 - acbm.assigning - DEBUG - Activity 125904: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,893 - acbm.assigning - DEBUG - Activity 125904: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,894 - acbm.assigning - DEBUG - Activity 125904: sampling based on floor area\n", - "2024-05-14 18:29:36,895 - acbm.assigning - DEBUG - Activity 125919: Initial number of options for activity = 5\n", - "2024-05-14 18:29:36,898 - acbm.assigning - DEBUG - Activity 125919: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:36,899 - acbm.assigning - DEBUG - Activity 125919: sampling based on floor area\n", - "2024-05-14 18:29:36,901 - acbm.assigning - DEBUG - Activity 125927: Initial number of options for activity = 4\n", - "2024-05-14 18:29:36,903 - acbm.assigning - DEBUG - Activity 125927: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:36,904 - acbm.assigning - DEBUG - Activity 125927: sampling based on floor area\n", - "2024-05-14 18:29:36,906 - acbm.assigning - DEBUG - Activity 126028: Initial number of options for activity = 59\n", - "2024-05-14 18:29:36,910 - acbm.assigning - DEBUG - Activity 126028: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:36,911 - acbm.assigning - DEBUG - Activity 126028: sampling based on floor area\n", - "2024-05-14 18:29:36,914 - acbm.assigning - DEBUG - Activity 126032: Initial number of options for activity = 56\n", - "2024-05-14 18:29:36,917 - acbm.assigning - DEBUG - Activity 126032: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:36,918 - acbm.assigning - DEBUG - Activity 126032: sampling based on floor area\n", - "2024-05-14 18:29:36,919 - acbm.assigning - DEBUG - Activity 126205: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,921 - acbm.assigning - DEBUG - Activity 126205: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,922 - acbm.assigning - DEBUG - Activity 126205: sampling based on floor area\n", - "2024-05-14 18:29:36,924 - acbm.assigning - DEBUG - Activity 126206: Initial number of options for activity = 24\n", - "2024-05-14 18:29:36,927 - acbm.assigning - DEBUG - Activity 126206: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:36,927 - acbm.assigning - DEBUG - Activity 126206: sampling based on floor area\n", - "2024-05-14 18:29:36,929 - acbm.assigning - DEBUG - Activity 126209: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,932 - acbm.assigning - DEBUG - Activity 126209: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,933 - acbm.assigning - DEBUG - Activity 126209: sampling based on floor area\n", - "2024-05-14 18:29:36,935 - acbm.assigning - DEBUG - Activity 126210: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,938 - acbm.assigning - DEBUG - Activity 126210: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,939 - acbm.assigning - DEBUG - Activity 126210: sampling based on floor area\n", - "2024-05-14 18:29:36,941 - acbm.assigning - DEBUG - Activity 126213: Initial number of options for activity = 2\n", - "2024-05-14 18:29:36,943 - acbm.assigning - DEBUG - Activity 126213: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:36,944 - acbm.assigning - DEBUG - Activity 126213: sampling based on floor area\n", - "2024-05-14 18:29:36,945 - acbm.assigning - DEBUG - Activity 126214: Initial number of options for activity = 1\n", - "2024-05-14 18:29:36,947 - acbm.assigning - DEBUG - Activity 126214: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:36,948 - acbm.assigning - DEBUG - Activity 126214: sampling based on floor area\n", - "2024-05-14 18:29:36,950 - acbm.assigning - DEBUG - Activity 126510: Initial number of options for activity = 25\n", - "2024-05-14 18:29:36,953 - acbm.assigning - DEBUG - Activity 126510: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:36,954 - acbm.assigning - DEBUG - Activity 126510: sampling based on floor area\n", - "2024-05-14 18:29:36,956 - acbm.assigning - DEBUG - Activity 126512: Initial number of options for activity = 26\n", - "2024-05-14 18:29:36,958 - acbm.assigning - DEBUG - Activity 126512: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:36,959 - acbm.assigning - DEBUG - Activity 126512: sampling based on floor area\n", - "2024-05-14 18:29:36,960 - acbm.assigning - DEBUG - Activity 126514: Initial number of options for activity = 12\n", - "2024-05-14 18:29:36,963 - acbm.assigning - DEBUG - Activity 126514: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:36,963 - acbm.assigning - DEBUG - Activity 126514: sampling based on floor area\n", - "2024-05-14 18:29:36,965 - acbm.assigning - DEBUG - Activity 126516: Initial number of options for activity = 26\n", - "2024-05-14 18:29:36,968 - acbm.assigning - DEBUG - Activity 126516: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:36,968 - acbm.assigning - DEBUG - Activity 126516: sampling based on floor area\n", - "2024-05-14 18:29:36,970 - acbm.assigning - DEBUG - Activity 126520: Initial number of options for activity = 25\n", - "2024-05-14 18:29:36,973 - acbm.assigning - DEBUG - Activity 126520: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:36,974 - acbm.assigning - DEBUG - Activity 126520: sampling based on floor area\n", - "2024-05-14 18:29:36,975 - acbm.assigning - DEBUG - Activity 126522: Initial number of options for activity = 26\n", - "2024-05-14 18:29:36,977 - acbm.assigning - DEBUG - Activity 126522: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:36,978 - acbm.assigning - DEBUG - Activity 126522: sampling based on floor area\n", - "2024-05-14 18:29:36,979 - acbm.assigning - DEBUG - Activity 126524: Initial number of options for activity = 12\n", - "2024-05-14 18:29:36,981 - acbm.assigning - DEBUG - Activity 126524: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:36,982 - acbm.assigning - DEBUG - Activity 126524: sampling based on floor area\n", - "2024-05-14 18:29:36,986 - acbm.assigning - DEBUG - Activity 126526: Initial number of options for activity = 26\n", - "2024-05-14 18:29:36,990 - acbm.assigning - DEBUG - Activity 126526: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:36,994 - acbm.assigning - DEBUG - Activity 126526: sampling based on floor area\n", - "2024-05-14 18:29:36,995 - acbm.assigning - DEBUG - Activity 126609: Initial number of options for activity = 163\n", - "2024-05-14 18:29:36,998 - acbm.assigning - DEBUG - Activity 126609: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:36,999 - acbm.assigning - DEBUG - Activity 126609: sampling based on floor area\n", - "2024-05-14 18:29:37,001 - acbm.assigning - DEBUG - Activity 126613: Initial number of options for activity = 163\n", - "2024-05-14 18:29:37,004 - acbm.assigning - DEBUG - Activity 126613: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:37,004 - acbm.assigning - DEBUG - Activity 126613: sampling based on floor area\n", - "2024-05-14 18:29:37,005 - acbm.assigning - DEBUG - Activity 126614: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,007 - acbm.assigning - DEBUG - Activity 126614: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,008 - acbm.assigning - DEBUG - Activity 126614: sampling based on floor area\n", - "2024-05-14 18:29:37,011 - acbm.assigning - DEBUG - Activity 126615: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,013 - acbm.assigning - DEBUG - Activity 126615: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,015 - acbm.assigning - DEBUG - Activity 126615: sampling based on floor area\n", - "2024-05-14 18:29:37,016 - acbm.assigning - DEBUG - Activity 126726: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,018 - acbm.assigning - DEBUG - Activity 126726: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,019 - acbm.assigning - DEBUG - Activity 126726: sampling based on floor area\n", - "2024-05-14 18:29:37,020 - acbm.assigning - DEBUG - Activity 126730: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,022 - acbm.assigning - DEBUG - Activity 126730: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,023 - acbm.assigning - DEBUG - Activity 126730: sampling based on floor area\n", - "2024-05-14 18:29:37,024 - acbm.assigning - DEBUG - Activity 126735: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,026 - acbm.assigning - DEBUG - Activity 126735: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,027 - acbm.assigning - DEBUG - Activity 126735: sampling based on floor area\n", - "2024-05-14 18:29:37,028 - acbm.assigning - DEBUG - Activity 126765: Initial number of options for activity = 8\n", - "2024-05-14 18:29:37,030 - acbm.assigning - DEBUG - Activity 126765: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:37,031 - acbm.assigning - DEBUG - Activity 126765: sampling based on floor area\n", - "2024-05-14 18:29:37,032 - acbm.assigning - DEBUG - Activity 126773: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,034 - acbm.assigning - DEBUG - Activity 126773: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,035 - acbm.assigning - DEBUG - Activity 126773: sampling based on floor area\n", - "2024-05-14 18:29:37,036 - acbm.assigning - DEBUG - Activity 126819: Initial number of options for activity = 59\n", - "2024-05-14 18:29:37,039 - acbm.assigning - DEBUG - Activity 126819: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:37,040 - acbm.assigning - DEBUG - Activity 126819: sampling based on floor area\n", - "2024-05-14 18:29:37,041 - acbm.assigning - DEBUG - Activity 126820: Initial number of options for activity = 36\n", - "2024-05-14 18:29:37,043 - acbm.assigning - DEBUG - Activity 126820: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:37,044 - acbm.assigning - DEBUG - Activity 126820: sampling based on floor area\n", - "2024-05-14 18:29:37,045 - acbm.assigning - DEBUG - Activity 126822: Initial number of options for activity = 59\n", - "2024-05-14 18:29:37,048 - acbm.assigning - DEBUG - Activity 126822: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:37,050 - acbm.assigning - DEBUG - Activity 126822: sampling based on floor area\n", - "2024-05-14 18:29:37,051 - acbm.assigning - DEBUG - Activity 126826: Initial number of options for activity = 59\n", - "2024-05-14 18:29:37,053 - acbm.assigning - DEBUG - Activity 126826: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:37,055 - acbm.assigning - DEBUG - Activity 126826: sampling based on floor area\n", - "2024-05-14 18:29:37,056 - acbm.assigning - DEBUG - Activity 126829: Initial number of options for activity = 59\n", - "2024-05-14 18:29:37,058 - acbm.assigning - DEBUG - Activity 126829: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:37,059 - acbm.assigning - DEBUG - Activity 126829: sampling based on floor area\n", - "2024-05-14 18:29:37,060 - acbm.assigning - DEBUG - Activity 127448: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,062 - acbm.assigning - DEBUG - Activity 127448: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,063 - acbm.assigning - DEBUG - Activity 127448: sampling based on floor area\n", - "2024-05-14 18:29:37,065 - acbm.assigning - DEBUG - Activity 127455: Initial number of options for activity = 133\n", - "2024-05-14 18:29:37,068 - acbm.assigning - DEBUG - Activity 127455: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:37,079 - acbm.assigning - DEBUG - Activity 127455: sampling based on floor area\n", - "2024-05-14 18:29:37,080 - acbm.assigning - DEBUG - Activity 127456: Initial number of options for activity = 133\n", - "2024-05-14 18:29:37,084 - acbm.assigning - DEBUG - Activity 127456: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:37,086 - acbm.assigning - DEBUG - Activity 127456: sampling based on floor area\n", - "2024-05-14 18:29:37,088 - acbm.assigning - DEBUG - Activity 127457: Initial number of options for activity = 133\n", - "2024-05-14 18:29:37,091 - acbm.assigning - DEBUG - Activity 127457: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:37,092 - acbm.assigning - DEBUG - Activity 127457: sampling based on floor area\n", - "2024-05-14 18:29:37,093 - acbm.assigning - DEBUG - Activity 127459: Initial number of options for activity = 133\n", - "2024-05-14 18:29:37,097 - acbm.assigning - DEBUG - Activity 127459: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:37,098 - acbm.assigning - DEBUG - Activity 127459: sampling based on floor area\n", - "2024-05-14 18:29:37,099 - acbm.assigning - DEBUG - Activity 127535: Initial number of options for activity = 88\n", - "2024-05-14 18:29:37,101 - acbm.assigning - DEBUG - Activity 127535: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:37,101 - acbm.assigning - DEBUG - Activity 127535: sampling based on floor area\n", - "2024-05-14 18:29:37,103 - acbm.assigning - DEBUG - Activity 127537: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,105 - acbm.assigning - DEBUG - Activity 127537: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,105 - acbm.assigning - DEBUG - Activity 127537: sampling based on floor area\n", - "2024-05-14 18:29:37,106 - acbm.assigning - DEBUG - Activity 127539: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,108 - acbm.assigning - DEBUG - Activity 127539: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,109 - acbm.assigning - DEBUG - Activity 127539: sampling based on floor area\n", - "2024-05-14 18:29:37,110 - acbm.assigning - DEBUG - Activity 127541: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,112 - acbm.assigning - DEBUG - Activity 127541: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,113 - acbm.assigning - DEBUG - Activity 127541: sampling based on floor area\n", - "2024-05-14 18:29:37,114 - acbm.assigning - DEBUG - Activity 127689: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,116 - acbm.assigning - DEBUG - Activity 127689: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,117 - acbm.assigning - DEBUG - Activity 127689: sampling based on floor area\n", - "2024-05-14 18:29:37,118 - acbm.assigning - DEBUG - Activity 127695: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,119 - acbm.assigning - DEBUG - Activity 127695: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,120 - acbm.assigning - DEBUG - Activity 127695: sampling based on floor area\n", - "2024-05-14 18:29:37,121 - acbm.assigning - DEBUG - Activity 127697: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,123 - acbm.assigning - DEBUG - Activity 127697: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,123 - acbm.assigning - DEBUG - Activity 127697: sampling based on floor area\n", - "2024-05-14 18:29:37,124 - acbm.assigning - DEBUG - Activity 127720: Initial number of options for activity = 87\n", - "2024-05-14 18:29:37,126 - acbm.assigning - DEBUG - Activity 127720: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:37,127 - acbm.assigning - DEBUG - Activity 127720: sampling based on floor area\n", - "2024-05-14 18:29:37,127 - acbm.assigning - DEBUG - Activity 127722: Initial number of options for activity = 112\n", - "2024-05-14 18:29:37,129 - acbm.assigning - DEBUG - Activity 127722: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:37,130 - acbm.assigning - DEBUG - Activity 127722: sampling based on floor area\n", - "2024-05-14 18:29:37,132 - acbm.assigning - DEBUG - Activity 127727: Initial number of options for activity = 112\n", - "2024-05-14 18:29:37,133 - acbm.assigning - DEBUG - Activity 127727: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:37,134 - acbm.assigning - DEBUG - Activity 127727: sampling based on floor area\n", - "2024-05-14 18:29:37,136 - acbm.assigning - DEBUG - Activity 127728: Initial number of options for activity = 88\n", - "2024-05-14 18:29:37,139 - acbm.assigning - DEBUG - Activity 127728: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:37,140 - acbm.assigning - DEBUG - Activity 127728: sampling based on floor area\n", - "2024-05-14 18:29:37,141 - acbm.assigning - DEBUG - Activity 127867: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,144 - acbm.assigning - DEBUG - Activity 127867: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,145 - acbm.assigning - DEBUG - Activity 127867: sampling based on floor area\n", - "2024-05-14 18:29:37,147 - acbm.assigning - DEBUG - Activity 127873: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,150 - acbm.assigning - DEBUG - Activity 127873: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,150 - acbm.assigning - DEBUG - Activity 127873: sampling based on floor area\n", - "2024-05-14 18:29:37,151 - acbm.assigning - DEBUG - Activity 127875: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,154 - acbm.assigning - DEBUG - Activity 127875: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,154 - acbm.assigning - DEBUG - Activity 127875: sampling based on floor area\n", - "2024-05-14 18:29:37,155 - acbm.assigning - DEBUG - Activity 127877: Initial number of options for activity = 6\n", - "2024-05-14 18:29:37,157 - acbm.assigning - DEBUG - Activity 127877: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:37,158 - acbm.assigning - DEBUG - Activity 127877: sampling based on floor area\n", - "2024-05-14 18:29:37,160 - acbm.assigning - DEBUG - Activity 127878: Initial number of options for activity = 6\n", - "2024-05-14 18:29:37,163 - acbm.assigning - DEBUG - Activity 127878: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:37,164 - acbm.assigning - DEBUG - Activity 127878: sampling based on floor area\n", - "2024-05-14 18:29:37,165 - acbm.assigning - DEBUG - Activity 127933: Initial number of options for activity = 74\n", - "2024-05-14 18:29:37,168 - acbm.assigning - DEBUG - Activity 127933: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:37,169 - acbm.assigning - DEBUG - Activity 127933: sampling based on floor area\n", - "2024-05-14 18:29:37,170 - acbm.assigning - DEBUG - Activity 127935: Initial number of options for activity = 74\n", - "2024-05-14 18:29:37,172 - acbm.assigning - DEBUG - Activity 127935: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:37,173 - acbm.assigning - DEBUG - Activity 127935: sampling based on floor area\n", - "2024-05-14 18:29:37,174 - acbm.assigning - DEBUG - Activity 127937: Initial number of options for activity = 74\n", - "2024-05-14 18:29:37,176 - acbm.assigning - DEBUG - Activity 127937: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:37,176 - acbm.assigning - DEBUG - Activity 127937: sampling based on floor area\n", - "2024-05-14 18:29:37,179 - acbm.assigning - DEBUG - Activity 127939: Initial number of options for activity = 74\n", - "2024-05-14 18:29:37,181 - acbm.assigning - DEBUG - Activity 127939: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:37,182 - acbm.assigning - DEBUG - Activity 127939: sampling based on floor area\n", - "2024-05-14 18:29:37,183 - acbm.assigning - DEBUG - Activity 127983: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,185 - acbm.assigning - DEBUG - Activity 127983: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,186 - acbm.assigning - DEBUG - Activity 127983: sampling based on floor area\n", - "2024-05-14 18:29:37,187 - acbm.assigning - DEBUG - Activity 127985: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,190 - acbm.assigning - DEBUG - Activity 127985: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,191 - acbm.assigning - DEBUG - Activity 127985: sampling based on floor area\n", - "2024-05-14 18:29:37,193 - acbm.assigning - DEBUG - Activity 127987: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,195 - acbm.assigning - DEBUG - Activity 127987: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,196 - acbm.assigning - DEBUG - Activity 127987: sampling based on floor area\n", - "2024-05-14 18:29:37,199 - acbm.assigning - DEBUG - Activity 127990: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,201 - acbm.assigning - DEBUG - Activity 127990: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,202 - acbm.assigning - DEBUG - Activity 127990: sampling based on floor area\n", - "2024-05-14 18:29:37,204 - acbm.assigning - DEBUG - Activity 128067: Initial number of options for activity = 118\n", - "2024-05-14 18:29:37,206 - acbm.assigning - DEBUG - Activity 128067: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:37,207 - acbm.assigning - DEBUG - Activity 128067: sampling based on floor area\n", - "2024-05-14 18:29:37,209 - acbm.assigning - DEBUG - Activity 128069: Initial number of options for activity = 118\n", - "2024-05-14 18:29:37,211 - acbm.assigning - DEBUG - Activity 128069: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:37,212 - acbm.assigning - DEBUG - Activity 128069: sampling based on floor area\n", - "2024-05-14 18:29:37,214 - acbm.assigning - DEBUG - Activity 128071: Initial number of options for activity = 118\n", - "2024-05-14 18:29:37,219 - acbm.assigning - DEBUG - Activity 128071: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:37,220 - acbm.assigning - DEBUG - Activity 128071: sampling based on floor area\n", - "2024-05-14 18:29:37,222 - acbm.assigning - DEBUG - Activity 128073: Initial number of options for activity = 118\n", - "2024-05-14 18:29:37,225 - acbm.assigning - DEBUG - Activity 128073: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:37,226 - acbm.assigning - DEBUG - Activity 128073: sampling based on floor area\n", - "2024-05-14 18:29:37,228 - acbm.assigning - DEBUG - Activity 128075: Initial number of options for activity = 118\n", - "2024-05-14 18:29:37,230 - acbm.assigning - DEBUG - Activity 128075: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:37,231 - acbm.assigning - DEBUG - Activity 128075: sampling based on floor area\n", - "2024-05-14 18:29:37,233 - acbm.assigning - DEBUG - Activity 128081: Initial number of options for activity = 44\n", - "2024-05-14 18:29:37,236 - acbm.assigning - DEBUG - Activity 128081: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:37,236 - acbm.assigning - DEBUG - Activity 128081: sampling based on floor area\n", - "2024-05-14 18:29:37,238 - acbm.assigning - DEBUG - Activity 128083: Initial number of options for activity = 44\n", - "2024-05-14 18:29:37,241 - acbm.assigning - DEBUG - Activity 128083: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:37,242 - acbm.assigning - DEBUG - Activity 128083: sampling based on floor area\n", - "2024-05-14 18:29:37,244 - acbm.assigning - DEBUG - Activity 128085: Initial number of options for activity = 44\n", - "2024-05-14 18:29:37,247 - acbm.assigning - DEBUG - Activity 128085: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:37,248 - acbm.assigning - DEBUG - Activity 128085: sampling based on floor area\n", - "2024-05-14 18:29:37,249 - acbm.assigning - DEBUG - Activity 128087: Initial number of options for activity = 44\n", - "2024-05-14 18:29:37,253 - acbm.assigning - DEBUG - Activity 128087: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:37,254 - acbm.assigning - DEBUG - Activity 128087: sampling based on floor area\n", - "2024-05-14 18:29:37,255 - acbm.assigning - DEBUG - Activity 128117: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,257 - acbm.assigning - DEBUG - Activity 128117: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,258 - acbm.assigning - DEBUG - Activity 128117: sampling based on floor area\n", - "2024-05-14 18:29:37,259 - acbm.assigning - DEBUG - Activity 128132: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,261 - acbm.assigning - DEBUG - Activity 128132: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,262 - acbm.assigning - DEBUG - Activity 128132: sampling based on floor area\n", - "2024-05-14 18:29:37,263 - acbm.assigning - DEBUG - Activity 128138: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,266 - acbm.assigning - DEBUG - Activity 128138: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,267 - acbm.assigning - DEBUG - Activity 128138: sampling based on floor area\n", - "2024-05-14 18:29:37,268 - acbm.assigning - DEBUG - Activity 128148: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,270 - acbm.assigning - DEBUG - Activity 128148: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,270 - acbm.assigning - DEBUG - Activity 128148: sampling based on floor area\n", - "2024-05-14 18:29:37,271 - acbm.assigning - DEBUG - Activity 128149: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,273 - acbm.assigning - DEBUG - Activity 128149: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,274 - acbm.assigning - DEBUG - Activity 128149: sampling based on floor area\n", - "2024-05-14 18:29:37,276 - acbm.assigning - INFO - Activity 128153: No zones available\n", - "2024-05-14 18:29:37,277 - acbm.assigning - INFO - Activity 128159: No zones available\n", - "2024-05-14 18:29:37,277 - acbm.assigning - DEBUG - Activity 128244: Initial number of options for activity = 45\n", - "2024-05-14 18:29:37,279 - acbm.assigning - DEBUG - Activity 128244: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:37,280 - acbm.assigning - DEBUG - Activity 128244: sampling based on floor area\n", - "2024-05-14 18:29:37,282 - acbm.assigning - DEBUG - Activity 128250: Initial number of options for activity = 18\n", - "2024-05-14 18:29:37,284 - acbm.assigning - DEBUG - Activity 128250: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:37,284 - acbm.assigning - DEBUG - Activity 128250: sampling based on floor area\n", - "2024-05-14 18:29:37,286 - acbm.assigning - DEBUG - Activity 128259: Initial number of options for activity = 45\n", - "2024-05-14 18:29:37,288 - acbm.assigning - DEBUG - Activity 128259: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:37,289 - acbm.assigning - DEBUG - Activity 128259: sampling based on floor area\n", - "2024-05-14 18:29:37,290 - acbm.assigning - DEBUG - Activity 128260: Initial number of options for activity = 5\n", - "2024-05-14 18:29:37,292 - acbm.assigning - DEBUG - Activity 128260: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:37,293 - acbm.assigning - DEBUG - Activity 128260: sampling based on floor area\n", - "2024-05-14 18:29:37,294 - acbm.assigning - DEBUG - Activity 128291: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,296 - acbm.assigning - DEBUG - Activity 128291: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,296 - acbm.assigning - DEBUG - Activity 128291: sampling based on floor area\n", - "2024-05-14 18:29:37,298 - acbm.assigning - INFO - Activity 128298: No zones available\n", - "2024-05-14 18:29:37,298 - acbm.assigning - DEBUG - Activity 128366: Initial number of options for activity = 25\n", - "2024-05-14 18:29:37,300 - acbm.assigning - DEBUG - Activity 128366: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:37,301 - acbm.assigning - DEBUG - Activity 128366: sampling based on floor area\n", - "2024-05-14 18:29:37,303 - acbm.assigning - DEBUG - Activity 128368: Initial number of options for activity = 25\n", - "2024-05-14 18:29:37,306 - acbm.assigning - DEBUG - Activity 128368: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:37,307 - acbm.assigning - DEBUG - Activity 128368: sampling based on floor area\n", - "2024-05-14 18:29:37,309 - acbm.assigning - DEBUG - Activity 128370: Initial number of options for activity = 25\n", - "2024-05-14 18:29:37,312 - acbm.assigning - DEBUG - Activity 128370: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:37,316 - acbm.assigning - DEBUG - Activity 128370: sampling based on floor area\n", - "2024-05-14 18:29:37,318 - acbm.assigning - DEBUG - Activity 128372: Initial number of options for activity = 13\n", - "2024-05-14 18:29:37,321 - acbm.assigning - DEBUG - Activity 128372: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:37,323 - acbm.assigning - DEBUG - Activity 128372: sampling based on floor area\n", - "2024-05-14 18:29:37,325 - acbm.assigning - DEBUG - Activity 128374: Initial number of options for activity = 13\n", - "2024-05-14 18:29:37,328 - acbm.assigning - DEBUG - Activity 128374: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:37,329 - acbm.assigning - DEBUG - Activity 128374: sampling based on floor area\n", - "2024-05-14 18:29:37,331 - acbm.assigning - DEBUG - Activity 128396: Initial number of options for activity = 45\n", - "2024-05-14 18:29:37,333 - acbm.assigning - DEBUG - Activity 128396: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:37,334 - acbm.assigning - DEBUG - Activity 128396: sampling based on floor area\n", - "2024-05-14 18:29:37,336 - acbm.assigning - DEBUG - Activity 128398: Initial number of options for activity = 45\n", - "2024-05-14 18:29:37,339 - acbm.assigning - DEBUG - Activity 128398: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:37,342 - acbm.assigning - DEBUG - Activity 128398: sampling based on floor area\n", - "2024-05-14 18:29:37,343 - acbm.assigning - DEBUG - Activity 128399: Initial number of options for activity = 45\n", - "2024-05-14 18:29:37,346 - acbm.assigning - DEBUG - Activity 128399: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:37,347 - acbm.assigning - DEBUG - Activity 128399: sampling based on floor area\n", - "2024-05-14 18:29:37,348 - acbm.assigning - DEBUG - Activity 128403: Initial number of options for activity = 45\n", - "2024-05-14 18:29:37,351 - acbm.assigning - DEBUG - Activity 128403: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:37,352 - acbm.assigning - DEBUG - Activity 128403: sampling based on floor area\n", - "2024-05-14 18:29:37,354 - acbm.assigning - DEBUG - Activity 128405: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,356 - acbm.assigning - DEBUG - Activity 128405: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,358 - acbm.assigning - DEBUG - Activity 128405: sampling based on floor area\n", - "2024-05-14 18:29:37,359 - acbm.assigning - DEBUG - Activity 128409: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,361 - acbm.assigning - DEBUG - Activity 128409: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,362 - acbm.assigning - DEBUG - Activity 128409: sampling based on floor area\n", - "2024-05-14 18:29:37,364 - acbm.assigning - DEBUG - Activity 128413: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,368 - acbm.assigning - DEBUG - Activity 128413: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,369 - acbm.assigning - DEBUG - Activity 128413: sampling based on floor area\n", - "2024-05-14 18:29:37,370 - acbm.assigning - DEBUG - Activity 128415: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,372 - acbm.assigning - DEBUG - Activity 128415: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,372 - acbm.assigning - DEBUG - Activity 128415: sampling based on floor area\n", - "2024-05-14 18:29:37,373 - acbm.assigning - DEBUG - Activity 128679: Initial number of options for activity = 6\n", - "2024-05-14 18:29:37,378 - acbm.assigning - DEBUG - Activity 128679: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:37,379 - acbm.assigning - DEBUG - Activity 128679: sampling based on floor area\n", - "2024-05-14 18:29:37,380 - acbm.assigning - DEBUG - Activity 128680: Initial number of options for activity = 7\n", - "2024-05-14 18:29:37,383 - acbm.assigning - DEBUG - Activity 128680: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:37,385 - acbm.assigning - DEBUG - Activity 128680: sampling based on floor area\n", - "2024-05-14 18:29:37,386 - acbm.assigning - DEBUG - Activity 128681: Initial number of options for activity = 5\n", - "2024-05-14 18:29:37,392 - acbm.assigning - DEBUG - Activity 128681: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:37,393 - acbm.assigning - DEBUG - Activity 128681: sampling based on floor area\n", - "2024-05-14 18:29:37,395 - acbm.assigning - DEBUG - Activity 128685: Initial number of options for activity = 7\n", - "2024-05-14 18:29:37,398 - acbm.assigning - DEBUG - Activity 128685: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:37,400 - acbm.assigning - DEBUG - Activity 128685: sampling based on floor area\n", - "2024-05-14 18:29:37,402 - acbm.assigning - DEBUG - Activity 128688: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,404 - acbm.assigning - DEBUG - Activity 128688: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,405 - acbm.assigning - DEBUG - Activity 128688: sampling based on floor area\n", - "2024-05-14 18:29:37,406 - acbm.assigning - DEBUG - Activity 128732: Initial number of options for activity = 115\n", - "2024-05-14 18:29:37,408 - acbm.assigning - DEBUG - Activity 128732: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:37,409 - acbm.assigning - DEBUG - Activity 128732: sampling based on floor area\n", - "2024-05-14 18:29:37,411 - acbm.assigning - DEBUG - Activity 128734: Initial number of options for activity = 115\n", - "2024-05-14 18:29:37,413 - acbm.assigning - DEBUG - Activity 128734: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:37,413 - acbm.assigning - DEBUG - Activity 128734: sampling based on floor area\n", - "2024-05-14 18:29:37,414 - acbm.assigning - DEBUG - Activity 128736: Initial number of options for activity = 115\n", - "2024-05-14 18:29:37,416 - acbm.assigning - DEBUG - Activity 128736: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:37,417 - acbm.assigning - DEBUG - Activity 128736: sampling based on floor area\n", - "2024-05-14 18:29:37,418 - acbm.assigning - DEBUG - Activity 128738: Initial number of options for activity = 115\n", - "2024-05-14 18:29:37,422 - acbm.assigning - DEBUG - Activity 128738: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:37,422 - acbm.assigning - DEBUG - Activity 128738: sampling based on floor area\n", - "2024-05-14 18:29:37,424 - acbm.assigning - INFO - Activity 128802: No zones available\n", - "2024-05-14 18:29:37,425 - acbm.assigning - DEBUG - Activity 128855: Initial number of options for activity = 145\n", - "2024-05-14 18:29:37,428 - acbm.assigning - DEBUG - Activity 128855: Number of options after filtering by education type: 145\n", - "2024-05-14 18:29:37,429 - acbm.assigning - DEBUG - Activity 128855: sampling based on floor area\n", - "2024-05-14 18:29:37,431 - acbm.assigning - DEBUG - Activity 128857: Initial number of options for activity = 145\n", - "2024-05-14 18:29:37,433 - acbm.assigning - DEBUG - Activity 128857: Number of options after filtering by education type: 145\n", - "2024-05-14 18:29:37,435 - acbm.assigning - DEBUG - Activity 128857: sampling based on floor area\n", - "2024-05-14 18:29:37,437 - acbm.assigning - DEBUG - Activity 128859: Initial number of options for activity = 145\n", - "2024-05-14 18:29:37,441 - acbm.assigning - DEBUG - Activity 128859: Number of options after filtering by education type: 145\n", - "2024-05-14 18:29:37,443 - acbm.assigning - DEBUG - Activity 128859: sampling based on floor area\n", - "2024-05-14 18:29:37,444 - acbm.assigning - DEBUG - Activity 128861: Initial number of options for activity = 145\n", - "2024-05-14 18:29:37,448 - acbm.assigning - DEBUG - Activity 128861: Number of options after filtering by education type: 145\n", - "2024-05-14 18:29:37,450 - acbm.assigning - DEBUG - Activity 128861: sampling based on floor area\n", - "2024-05-14 18:29:37,452 - acbm.assigning - DEBUG - Activity 129017: Initial number of options for activity = 5\n", - "2024-05-14 18:29:37,456 - acbm.assigning - DEBUG - Activity 129017: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:37,457 - acbm.assigning - DEBUG - Activity 129017: sampling based on floor area\n", - "2024-05-14 18:29:37,459 - acbm.assigning - DEBUG - Activity 129019: Initial number of options for activity = 5\n", - "2024-05-14 18:29:37,462 - acbm.assigning - DEBUG - Activity 129019: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:37,464 - acbm.assigning - DEBUG - Activity 129019: sampling based on floor area\n", - "2024-05-14 18:29:37,466 - acbm.assigning - DEBUG - Activity 129021: Initial number of options for activity = 5\n", - "2024-05-14 18:29:37,469 - acbm.assigning - DEBUG - Activity 129021: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:37,471 - acbm.assigning - DEBUG - Activity 129021: sampling based on floor area\n", - "2024-05-14 18:29:37,473 - acbm.assigning - DEBUG - Activity 129023: Initial number of options for activity = 5\n", - "2024-05-14 18:29:37,476 - acbm.assigning - DEBUG - Activity 129023: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:37,478 - acbm.assigning - DEBUG - Activity 129023: sampling based on floor area\n", - "2024-05-14 18:29:37,479 - acbm.assigning - DEBUG - Activity 129025: Initial number of options for activity = 5\n", - "2024-05-14 18:29:37,483 - acbm.assigning - DEBUG - Activity 129025: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:37,485 - acbm.assigning - DEBUG - Activity 129025: sampling based on floor area\n", - "2024-05-14 18:29:37,487 - acbm.assigning - DEBUG - Activity 129163: Initial number of options for activity = 10\n", - "2024-05-14 18:29:37,491 - acbm.assigning - DEBUG - Activity 129163: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:37,492 - acbm.assigning - DEBUG - Activity 129163: sampling based on floor area\n", - "2024-05-14 18:29:37,494 - acbm.assigning - DEBUG - Activity 129165: Initial number of options for activity = 10\n", - "2024-05-14 18:29:37,497 - acbm.assigning - DEBUG - Activity 129165: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:37,499 - acbm.assigning - DEBUG - Activity 129165: sampling based on floor area\n", - "2024-05-14 18:29:37,501 - acbm.assigning - DEBUG - Activity 129167: Initial number of options for activity = 10\n", - "2024-05-14 18:29:37,505 - acbm.assigning - DEBUG - Activity 129167: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:37,507 - acbm.assigning - DEBUG - Activity 129167: sampling based on floor area\n", - "2024-05-14 18:29:37,509 - acbm.assigning - DEBUG - Activity 129169: Initial number of options for activity = 10\n", - "2024-05-14 18:29:37,512 - acbm.assigning - DEBUG - Activity 129169: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:37,514 - acbm.assigning - DEBUG - Activity 129169: sampling based on floor area\n", - "2024-05-14 18:29:37,516 - acbm.assigning - DEBUG - Activity 129173: Initial number of options for activity = 10\n", - "2024-05-14 18:29:37,520 - acbm.assigning - DEBUG - Activity 129173: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:37,522 - acbm.assigning - DEBUG - Activity 129173: sampling based on floor area\n", - "2024-05-14 18:29:37,524 - acbm.assigning - DEBUG - Activity 129327: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,527 - acbm.assigning - DEBUG - Activity 129327: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,529 - acbm.assigning - DEBUG - Activity 129327: sampling based on floor area\n", - "2024-05-14 18:29:37,532 - acbm.assigning - DEBUG - Activity 129329: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,535 - acbm.assigning - DEBUG - Activity 129329: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,537 - acbm.assigning - DEBUG - Activity 129329: sampling based on floor area\n", - "2024-05-14 18:29:37,539 - acbm.assigning - DEBUG - Activity 129423: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,543 - acbm.assigning - DEBUG - Activity 129423: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,545 - acbm.assigning - DEBUG - Activity 129423: sampling based on floor area\n", - "2024-05-14 18:29:37,547 - acbm.assigning - DEBUG - Activity 129425: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,551 - acbm.assigning - DEBUG - Activity 129425: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,552 - acbm.assigning - DEBUG - Activity 129425: sampling based on floor area\n", - "2024-05-14 18:29:37,554 - acbm.assigning - DEBUG - Activity 129429: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,558 - acbm.assigning - DEBUG - Activity 129429: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,560 - acbm.assigning - DEBUG - Activity 129429: sampling based on floor area\n", - "2024-05-14 18:29:37,562 - acbm.assigning - DEBUG - Activity 129431: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,566 - acbm.assigning - DEBUG - Activity 129431: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,567 - acbm.assigning - DEBUG - Activity 129431: sampling based on floor area\n", - "2024-05-14 18:29:37,569 - acbm.assigning - DEBUG - Activity 129433: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,572 - acbm.assigning - DEBUG - Activity 129433: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,573 - acbm.assigning - DEBUG - Activity 129433: sampling based on floor area\n", - "2024-05-14 18:29:37,574 - acbm.assigning - DEBUG - Activity 129439: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,577 - acbm.assigning - DEBUG - Activity 129439: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,578 - acbm.assigning - DEBUG - Activity 129439: sampling based on floor area\n", - "2024-05-14 18:29:37,580 - acbm.assigning - DEBUG - Activity 129441: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,583 - acbm.assigning - DEBUG - Activity 129441: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,584 - acbm.assigning - DEBUG - Activity 129441: sampling based on floor area\n", - "2024-05-14 18:29:37,586 - acbm.assigning - DEBUG - Activity 129442: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,598 - acbm.assigning - DEBUG - Activity 129442: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,599 - acbm.assigning - DEBUG - Activity 129442: sampling based on floor area\n", - "2024-05-14 18:29:37,601 - acbm.assigning - DEBUG - Activity 129443: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,604 - acbm.assigning - DEBUG - Activity 129443: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,605 - acbm.assigning - DEBUG - Activity 129443: sampling based on floor area\n", - "2024-05-14 18:29:37,607 - acbm.assigning - DEBUG - Activity 129446: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,611 - acbm.assigning - DEBUG - Activity 129446: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,614 - acbm.assigning - DEBUG - Activity 129446: sampling based on floor area\n", - "2024-05-14 18:29:37,615 - acbm.assigning - DEBUG - Activity 129458: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,619 - acbm.assigning - DEBUG - Activity 129458: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,621 - acbm.assigning - DEBUG - Activity 129458: sampling based on floor area\n", - "2024-05-14 18:29:37,623 - acbm.assigning - DEBUG - Activity 129512: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,626 - acbm.assigning - DEBUG - Activity 129512: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,627 - acbm.assigning - DEBUG - Activity 129512: sampling based on floor area\n", - "2024-05-14 18:29:37,628 - acbm.assigning - DEBUG - Activity 129515: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,630 - acbm.assigning - DEBUG - Activity 129515: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,631 - acbm.assigning - DEBUG - Activity 129515: sampling based on floor area\n", - "2024-05-14 18:29:37,633 - acbm.assigning - DEBUG - Activity 129516: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,636 - acbm.assigning - DEBUG - Activity 129516: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,637 - acbm.assigning - DEBUG - Activity 129516: sampling based on floor area\n", - "2024-05-14 18:29:37,640 - acbm.assigning - DEBUG - Activity 129518: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,642 - acbm.assigning - DEBUG - Activity 129518: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,644 - acbm.assigning - DEBUG - Activity 129518: sampling based on floor area\n", - "2024-05-14 18:29:37,645 - acbm.assigning - DEBUG - Activity 129521: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,648 - acbm.assigning - DEBUG - Activity 129521: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,649 - acbm.assigning - DEBUG - Activity 129521: sampling based on floor area\n", - "2024-05-14 18:29:37,651 - acbm.assigning - INFO - Activity 129597: No zones available\n", - "2024-05-14 18:29:37,651 - acbm.assigning - INFO - Activity 129598: No zones available\n", - "2024-05-14 18:29:37,652 - acbm.assigning - INFO - Activity 129602: No zones available\n", - "2024-05-14 18:29:37,653 - acbm.assigning - INFO - Activity 129610: No zones available\n", - "2024-05-14 18:29:37,653 - acbm.assigning - INFO - Activity 129613: No zones available\n", - "2024-05-14 18:29:37,654 - acbm.assigning - INFO - Activity 129614: No zones available\n", - "2024-05-14 18:29:37,655 - acbm.assigning - DEBUG - Activity 129623: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,657 - acbm.assigning - DEBUG - Activity 129623: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,658 - acbm.assigning - DEBUG - Activity 129623: sampling based on floor area\n", - "2024-05-14 18:29:37,660 - acbm.assigning - DEBUG - Activity 129624: Initial number of options for activity = 4\n", - "2024-05-14 18:29:37,662 - acbm.assigning - DEBUG - Activity 129624: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:37,663 - acbm.assigning - DEBUG - Activity 129624: sampling based on floor area\n", - "2024-05-14 18:29:37,664 - acbm.assigning - DEBUG - Activity 129768: Initial number of options for activity = 8\n", - "2024-05-14 18:29:37,666 - acbm.assigning - DEBUG - Activity 129768: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:37,667 - acbm.assigning - DEBUG - Activity 129768: sampling based on floor area\n", - "2024-05-14 18:29:37,668 - acbm.assigning - DEBUG - Activity 129770: Initial number of options for activity = 8\n", - "2024-05-14 18:29:37,671 - acbm.assigning - DEBUG - Activity 129770: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:37,672 - acbm.assigning - DEBUG - Activity 129770: sampling based on floor area\n", - "2024-05-14 18:29:37,673 - acbm.assigning - DEBUG - Activity 129989: Initial number of options for activity = 11\n", - "2024-05-14 18:29:37,675 - acbm.assigning - DEBUG - Activity 129989: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:37,677 - acbm.assigning - DEBUG - Activity 129989: sampling based on floor area\n", - "2024-05-14 18:29:37,678 - acbm.assigning - INFO - Activity 129991: No zones available\n", - "2024-05-14 18:29:37,679 - acbm.assigning - INFO - Activity 129993: No zones available\n", - "2024-05-14 18:29:37,681 - acbm.assigning - DEBUG - Activity 129995: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,683 - acbm.assigning - DEBUG - Activity 129995: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,684 - acbm.assigning - DEBUG - Activity 129995: sampling based on floor area\n", - "2024-05-14 18:29:37,687 - acbm.assigning - DEBUG - Activity 129997: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,690 - acbm.assigning - DEBUG - Activity 129997: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,691 - acbm.assigning - DEBUG - Activity 129997: sampling based on floor area\n", - "2024-05-14 18:29:37,693 - acbm.assigning - DEBUG - Activity 130123: Initial number of options for activity = 47\n", - "2024-05-14 18:29:37,696 - acbm.assigning - DEBUG - Activity 130123: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:37,697 - acbm.assigning - DEBUG - Activity 130123: sampling based on floor area\n", - "2024-05-14 18:29:37,699 - acbm.assigning - DEBUG - Activity 130125: Initial number of options for activity = 47\n", - "2024-05-14 18:29:37,703 - acbm.assigning - DEBUG - Activity 130125: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:37,704 - acbm.assigning - DEBUG - Activity 130125: sampling based on floor area\n", - "2024-05-14 18:29:37,706 - acbm.assigning - DEBUG - Activity 130127: Initial number of options for activity = 47\n", - "2024-05-14 18:29:37,710 - acbm.assigning - DEBUG - Activity 130127: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:37,712 - acbm.assigning - DEBUG - Activity 130127: sampling based on floor area\n", - "2024-05-14 18:29:37,713 - acbm.assigning - DEBUG - Activity 130129: Initial number of options for activity = 47\n", - "2024-05-14 18:29:37,716 - acbm.assigning - DEBUG - Activity 130129: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:37,717 - acbm.assigning - DEBUG - Activity 130129: sampling based on floor area\n", - "2024-05-14 18:29:37,719 - acbm.assigning - DEBUG - Activity 130414: Initial number of options for activity = 33\n", - "2024-05-14 18:29:37,722 - acbm.assigning - DEBUG - Activity 130414: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:37,723 - acbm.assigning - DEBUG - Activity 130414: sampling based on floor area\n", - "2024-05-14 18:29:37,724 - acbm.assigning - DEBUG - Activity 130461: Initial number of options for activity = 55\n", - "2024-05-14 18:29:37,726 - acbm.assigning - DEBUG - Activity 130461: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:37,727 - acbm.assigning - DEBUG - Activity 130461: sampling based on floor area\n", - "2024-05-14 18:29:37,729 - acbm.assigning - DEBUG - Activity 130463: Initial number of options for activity = 55\n", - "2024-05-14 18:29:37,731 - acbm.assigning - DEBUG - Activity 130463: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:37,732 - acbm.assigning - DEBUG - Activity 130463: sampling based on floor area\n", - "2024-05-14 18:29:37,733 - acbm.assigning - DEBUG - Activity 130465: Initial number of options for activity = 55\n", - "2024-05-14 18:29:37,735 - acbm.assigning - DEBUG - Activity 130465: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:37,736 - acbm.assigning - DEBUG - Activity 130465: sampling based on floor area\n", - "2024-05-14 18:29:37,737 - acbm.assigning - DEBUG - Activity 130467: Initial number of options for activity = 55\n", - "2024-05-14 18:29:37,740 - acbm.assigning - DEBUG - Activity 130467: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:37,742 - acbm.assigning - DEBUG - Activity 130467: sampling based on floor area\n", - "2024-05-14 18:29:37,743 - acbm.assigning - DEBUG - Activity 130469: Initial number of options for activity = 55\n", - "2024-05-14 18:29:37,746 - acbm.assigning - DEBUG - Activity 130469: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:37,747 - acbm.assigning - DEBUG - Activity 130469: sampling based on floor area\n", - "2024-05-14 18:29:37,748 - acbm.assigning - DEBUG - Activity 130471: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,751 - acbm.assigning - DEBUG - Activity 130471: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,751 - acbm.assigning - DEBUG - Activity 130471: sampling based on floor area\n", - "2024-05-14 18:29:37,753 - acbm.assigning - DEBUG - Activity 130473: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,755 - acbm.assigning - DEBUG - Activity 130473: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,756 - acbm.assigning - DEBUG - Activity 130473: sampling based on floor area\n", - "2024-05-14 18:29:37,757 - acbm.assigning - DEBUG - Activity 130475: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,759 - acbm.assigning - DEBUG - Activity 130475: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,760 - acbm.assigning - DEBUG - Activity 130475: sampling based on floor area\n", - "2024-05-14 18:29:37,762 - acbm.assigning - DEBUG - Activity 130477: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,765 - acbm.assigning - DEBUG - Activity 130477: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,766 - acbm.assigning - DEBUG - Activity 130477: sampling based on floor area\n", - "2024-05-14 18:29:37,767 - acbm.assigning - DEBUG - Activity 130479: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,771 - acbm.assigning - DEBUG - Activity 130479: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,772 - acbm.assigning - DEBUG - Activity 130479: sampling based on floor area\n", - "2024-05-14 18:29:37,774 - acbm.assigning - DEBUG - Activity 130481: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,777 - acbm.assigning - DEBUG - Activity 130481: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,779 - acbm.assigning - DEBUG - Activity 130481: sampling based on floor area\n", - "2024-05-14 18:29:37,781 - acbm.assigning - DEBUG - Activity 130484: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,784 - acbm.assigning - DEBUG - Activity 130484: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,786 - acbm.assigning - DEBUG - Activity 130484: sampling based on floor area\n", - "2024-05-14 18:29:37,787 - acbm.assigning - DEBUG - Activity 130486: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,791 - acbm.assigning - DEBUG - Activity 130486: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,792 - acbm.assigning - DEBUG - Activity 130486: sampling based on floor area\n", - "2024-05-14 18:29:37,793 - acbm.assigning - DEBUG - Activity 130488: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,795 - acbm.assigning - DEBUG - Activity 130488: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,797 - acbm.assigning - DEBUG - Activity 130488: sampling based on floor area\n", - "2024-05-14 18:29:37,799 - acbm.assigning - DEBUG - Activity 130490: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,801 - acbm.assigning - DEBUG - Activity 130490: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,802 - acbm.assigning - DEBUG - Activity 130490: sampling based on floor area\n", - "2024-05-14 18:29:37,803 - acbm.assigning - DEBUG - Activity 130492: Initial number of options for activity = 20\n", - "2024-05-14 18:29:37,806 - acbm.assigning - DEBUG - Activity 130492: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:37,807 - acbm.assigning - DEBUG - Activity 130492: sampling based on floor area\n", - "2024-05-14 18:29:37,809 - acbm.assigning - INFO - Activity 130530: No zones available\n", - "2024-05-14 18:29:37,810 - acbm.assigning - DEBUG - Activity 130738: Initial number of options for activity = 90\n", - "2024-05-14 18:29:37,813 - acbm.assigning - DEBUG - Activity 130738: Number of options after filtering by education type: 90\n", - "2024-05-14 18:29:37,814 - acbm.assigning - DEBUG - Activity 130738: sampling based on floor area\n", - "2024-05-14 18:29:37,815 - acbm.assigning - DEBUG - Activity 130739: Initial number of options for activity = 90\n", - "2024-05-14 18:29:37,818 - acbm.assigning - DEBUG - Activity 130739: Number of options after filtering by education type: 90\n", - "2024-05-14 18:29:37,818 - acbm.assigning - DEBUG - Activity 130739: sampling based on floor area\n", - "2024-05-14 18:29:37,821 - acbm.assigning - DEBUG - Activity 130741: Initial number of options for activity = 68\n", - "2024-05-14 18:29:37,828 - acbm.assigning - DEBUG - Activity 130741: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:37,829 - acbm.assigning - DEBUG - Activity 130741: sampling based on floor area\n", - "2024-05-14 18:29:37,831 - acbm.assigning - DEBUG - Activity 130745: Initial number of options for activity = 90\n", - "2024-05-14 18:29:37,834 - acbm.assigning - DEBUG - Activity 130745: Number of options after filtering by education type: 90\n", - "2024-05-14 18:29:37,835 - acbm.assigning - DEBUG - Activity 130745: sampling based on floor area\n", - "2024-05-14 18:29:37,836 - acbm.assigning - DEBUG - Activity 130747: Initial number of options for activity = 82\n", - "2024-05-14 18:29:37,838 - acbm.assigning - DEBUG - Activity 130747: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:37,839 - acbm.assigning - DEBUG - Activity 130747: sampling based on floor area\n", - "2024-05-14 18:29:37,840 - acbm.assigning - DEBUG - Activity 130748: Initial number of options for activity = 82\n", - "2024-05-14 18:29:37,842 - acbm.assigning - DEBUG - Activity 130748: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:37,842 - acbm.assigning - DEBUG - Activity 130748: sampling based on floor area\n", - "2024-05-14 18:29:37,844 - acbm.assigning - DEBUG - Activity 130821: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,847 - acbm.assigning - DEBUG - Activity 130821: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,848 - acbm.assigning - DEBUG - Activity 130821: sampling based on floor area\n", - "2024-05-14 18:29:37,849 - acbm.assigning - DEBUG - Activity 130823: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,851 - acbm.assigning - DEBUG - Activity 130823: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,852 - acbm.assigning - DEBUG - Activity 130823: sampling based on floor area\n", - "2024-05-14 18:29:37,853 - acbm.assigning - DEBUG - Activity 130825: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,855 - acbm.assigning - DEBUG - Activity 130825: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,856 - acbm.assigning - DEBUG - Activity 130825: sampling based on floor area\n", - "2024-05-14 18:29:37,857 - acbm.assigning - DEBUG - Activity 130831: Initial number of options for activity = 3\n", - "2024-05-14 18:29:37,859 - acbm.assigning - DEBUG - Activity 130831: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:37,860 - acbm.assigning - DEBUG - Activity 130831: sampling based on floor area\n", - "2024-05-14 18:29:37,861 - acbm.assigning - DEBUG - Activity 130898: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,863 - acbm.assigning - DEBUG - Activity 130898: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,865 - acbm.assigning - DEBUG - Activity 130898: sampling based on floor area\n", - "2024-05-14 18:29:37,867 - acbm.assigning - DEBUG - Activity 130900: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,870 - acbm.assigning - DEBUG - Activity 130900: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,871 - acbm.assigning - DEBUG - Activity 130900: sampling based on floor area\n", - "2024-05-14 18:29:37,872 - acbm.assigning - DEBUG - Activity 130902: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,874 - acbm.assigning - DEBUG - Activity 130902: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,875 - acbm.assigning - DEBUG - Activity 130902: sampling based on floor area\n", - "2024-05-14 18:29:37,876 - acbm.assigning - DEBUG - Activity 130904: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,879 - acbm.assigning - DEBUG - Activity 130904: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,880 - acbm.assigning - DEBUG - Activity 130904: sampling based on floor area\n", - "2024-05-14 18:29:37,881 - acbm.assigning - DEBUG - Activity 130906: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,883 - acbm.assigning - DEBUG - Activity 130906: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,884 - acbm.assigning - DEBUG - Activity 130906: sampling based on floor area\n", - "2024-05-14 18:29:37,885 - acbm.assigning - DEBUG - Activity 130908: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,887 - acbm.assigning - DEBUG - Activity 130908: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,889 - acbm.assigning - DEBUG - Activity 130908: sampling based on floor area\n", - "2024-05-14 18:29:37,891 - acbm.assigning - DEBUG - Activity 130910: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,894 - acbm.assigning - DEBUG - Activity 130910: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,895 - acbm.assigning - DEBUG - Activity 130910: sampling based on floor area\n", - "2024-05-14 18:29:37,896 - acbm.assigning - DEBUG - Activity 130912: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,899 - acbm.assigning - DEBUG - Activity 130912: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,900 - acbm.assigning - DEBUG - Activity 130912: sampling based on floor area\n", - "2024-05-14 18:29:37,901 - acbm.assigning - DEBUG - Activity 130914: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,903 - acbm.assigning - DEBUG - Activity 130914: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,904 - acbm.assigning - DEBUG - Activity 130914: sampling based on floor area\n", - "2024-05-14 18:29:37,905 - acbm.assigning - DEBUG - Activity 130916: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,907 - acbm.assigning - DEBUG - Activity 130916: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,908 - acbm.assigning - DEBUG - Activity 130916: sampling based on floor area\n", - "2024-05-14 18:29:37,909 - acbm.assigning - INFO - Activity 130919: No zones available\n", - "2024-05-14 18:29:37,909 - acbm.assigning - DEBUG - Activity 130922: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,912 - acbm.assigning - DEBUG - Activity 130922: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,913 - acbm.assigning - DEBUG - Activity 130922: sampling based on floor area\n", - "2024-05-14 18:29:37,914 - acbm.assigning - DEBUG - Activity 130924: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,917 - acbm.assigning - DEBUG - Activity 130924: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,918 - acbm.assigning - DEBUG - Activity 130924: sampling based on floor area\n", - "2024-05-14 18:29:37,919 - acbm.assigning - DEBUG - Activity 130926: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,922 - acbm.assigning - DEBUG - Activity 130926: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,923 - acbm.assigning - DEBUG - Activity 130926: sampling based on floor area\n", - "2024-05-14 18:29:37,924 - acbm.assigning - DEBUG - Activity 130928: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,926 - acbm.assigning - DEBUG - Activity 130928: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,927 - acbm.assigning - DEBUG - Activity 130928: sampling based on floor area\n", - "2024-05-14 18:29:37,928 - acbm.assigning - DEBUG - Activity 130930: Initial number of options for activity = 54\n", - "2024-05-14 18:29:37,931 - acbm.assigning - DEBUG - Activity 130930: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:37,931 - acbm.assigning - DEBUG - Activity 130930: sampling based on floor area\n", - "2024-05-14 18:29:37,933 - acbm.assigning - DEBUG - Activity 130960: Initial number of options for activity = 12\n", - "2024-05-14 18:29:37,935 - acbm.assigning - DEBUG - Activity 130960: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:37,936 - acbm.assigning - DEBUG - Activity 130960: sampling based on floor area\n", - "2024-05-14 18:29:37,937 - acbm.assigning - DEBUG - Activity 130962: Initial number of options for activity = 26\n", - "2024-05-14 18:29:37,939 - acbm.assigning - DEBUG - Activity 130962: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:37,940 - acbm.assigning - DEBUG - Activity 130962: sampling based on floor area\n", - "2024-05-14 18:29:37,942 - acbm.assigning - DEBUG - Activity 130963: Initial number of options for activity = 26\n", - "2024-05-14 18:29:37,944 - acbm.assigning - DEBUG - Activity 130963: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:37,945 - acbm.assigning - DEBUG - Activity 130963: sampling based on floor area\n", - "2024-05-14 18:29:37,946 - acbm.assigning - DEBUG - Activity 130965: Initial number of options for activity = 26\n", - "2024-05-14 18:29:37,948 - acbm.assigning - DEBUG - Activity 130965: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:37,949 - acbm.assigning - DEBUG - Activity 130965: sampling based on floor area\n", - "2024-05-14 18:29:37,950 - acbm.assigning - DEBUG - Activity 130966: Initial number of options for activity = 12\n", - "2024-05-14 18:29:37,952 - acbm.assigning - DEBUG - Activity 130966: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:37,953 - acbm.assigning - DEBUG - Activity 130966: sampling based on floor area\n", - "2024-05-14 18:29:37,954 - acbm.assigning - DEBUG - Activity 131012: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,956 - acbm.assigning - DEBUG - Activity 131012: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,957 - acbm.assigning - DEBUG - Activity 131012: sampling based on floor area\n", - "2024-05-14 18:29:37,957 - acbm.assigning - DEBUG - Activity 131017: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,960 - acbm.assigning - DEBUG - Activity 131017: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,961 - acbm.assigning - DEBUG - Activity 131017: sampling based on floor area\n", - "2024-05-14 18:29:37,963 - acbm.assigning - DEBUG - Activity 131679: Initial number of options for activity = 7\n", - "2024-05-14 18:29:37,965 - acbm.assigning - DEBUG - Activity 131679: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:37,965 - acbm.assigning - DEBUG - Activity 131679: sampling based on floor area\n", - "2024-05-14 18:29:37,966 - acbm.assigning - DEBUG - Activity 131681: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,968 - acbm.assigning - DEBUG - Activity 131681: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,969 - acbm.assigning - DEBUG - Activity 131681: sampling based on floor area\n", - "2024-05-14 18:29:37,970 - acbm.assigning - DEBUG - Activity 131682: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,972 - acbm.assigning - DEBUG - Activity 131682: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,973 - acbm.assigning - DEBUG - Activity 131682: sampling based on floor area\n", - "2024-05-14 18:29:37,975 - acbm.assigning - DEBUG - Activity 131690: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,977 - acbm.assigning - DEBUG - Activity 131690: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,978 - acbm.assigning - DEBUG - Activity 131690: sampling based on floor area\n", - "2024-05-14 18:29:37,980 - acbm.assigning - DEBUG - Activity 131691: Initial number of options for activity = 1\n", - "2024-05-14 18:29:37,983 - acbm.assigning - DEBUG - Activity 131691: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:37,984 - acbm.assigning - DEBUG - Activity 131691: sampling based on floor area\n", - "2024-05-14 18:29:37,986 - acbm.assigning - INFO - Activity 131762: No zones available\n", - "2024-05-14 18:29:37,987 - acbm.assigning - INFO - Activity 132031: No zones available\n", - "2024-05-14 18:29:37,988 - acbm.assigning - DEBUG - Activity 132036: Initial number of options for activity = 117\n", - "2024-05-14 18:29:37,990 - acbm.assigning - DEBUG - Activity 132036: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:37,990 - acbm.assigning - DEBUG - Activity 132036: sampling based on floor area\n", - "2024-05-14 18:29:37,991 - acbm.assigning - DEBUG - Activity 132044: Initial number of options for activity = 117\n", - "2024-05-14 18:29:37,993 - acbm.assigning - DEBUG - Activity 132044: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:37,994 - acbm.assigning - DEBUG - Activity 132044: sampling based on floor area\n", - "2024-05-14 18:29:37,995 - acbm.assigning - DEBUG - Activity 132048: Initial number of options for activity = 117\n", - "2024-05-14 18:29:37,997 - acbm.assigning - DEBUG - Activity 132048: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:37,997 - acbm.assigning - DEBUG - Activity 132048: sampling based on floor area\n", - "2024-05-14 18:29:37,998 - acbm.assigning - DEBUG - Activity 132049: Initial number of options for activity = 117\n", - "2024-05-14 18:29:38,000 - acbm.assigning - DEBUG - Activity 132049: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:38,001 - acbm.assigning - DEBUG - Activity 132049: sampling based on floor area\n", - "2024-05-14 18:29:38,002 - acbm.assigning - DEBUG - Activity 132052: Initial number of options for activity = 117\n", - "2024-05-14 18:29:38,003 - acbm.assigning - DEBUG - Activity 132052: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:38,004 - acbm.assigning - DEBUG - Activity 132052: sampling based on floor area\n", - "2024-05-14 18:29:38,005 - acbm.assigning - DEBUG - Activity 132061: Initial number of options for activity = 117\n", - "2024-05-14 18:29:38,006 - acbm.assigning - DEBUG - Activity 132061: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:38,007 - acbm.assigning - DEBUG - Activity 132061: sampling based on floor area\n", - "2024-05-14 18:29:38,008 - acbm.assigning - DEBUG - Activity 132202: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,010 - acbm.assigning - DEBUG - Activity 132202: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,010 - acbm.assigning - DEBUG - Activity 132202: sampling based on floor area\n", - "2024-05-14 18:29:38,011 - acbm.assigning - DEBUG - Activity 132204: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,013 - acbm.assigning - DEBUG - Activity 132204: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,013 - acbm.assigning - DEBUG - Activity 132204: sampling based on floor area\n", - "2024-05-14 18:29:38,014 - acbm.assigning - DEBUG - Activity 132206: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,016 - acbm.assigning - DEBUG - Activity 132206: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,017 - acbm.assigning - DEBUG - Activity 132206: sampling based on floor area\n", - "2024-05-14 18:29:38,018 - acbm.assigning - DEBUG - Activity 132208: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,019 - acbm.assigning - DEBUG - Activity 132208: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,020 - acbm.assigning - DEBUG - Activity 132208: sampling based on floor area\n", - "2024-05-14 18:29:38,021 - acbm.assigning - DEBUG - Activity 132210: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,023 - acbm.assigning - DEBUG - Activity 132210: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,023 - acbm.assigning - DEBUG - Activity 132210: sampling based on floor area\n", - "2024-05-14 18:29:38,024 - acbm.assigning - DEBUG - Activity 132212: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,025 - acbm.assigning - DEBUG - Activity 132212: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,026 - acbm.assigning - DEBUG - Activity 132212: sampling based on floor area\n", - "2024-05-14 18:29:38,027 - acbm.assigning - DEBUG - Activity 132214: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,028 - acbm.assigning - DEBUG - Activity 132214: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,029 - acbm.assigning - DEBUG - Activity 132214: sampling based on floor area\n", - "2024-05-14 18:29:38,030 - acbm.assigning - DEBUG - Activity 132216: Initial number of options for activity = 71\n", - "2024-05-14 18:29:38,032 - acbm.assigning - DEBUG - Activity 132216: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:38,033 - acbm.assigning - DEBUG - Activity 132216: sampling based on floor area\n", - "2024-05-14 18:29:38,034 - acbm.assigning - INFO - Activity 132265: No zones available\n", - "2024-05-14 18:29:38,034 - acbm.assigning - INFO - Activity 132273: No zones available\n", - "2024-05-14 18:29:38,034 - acbm.assigning - DEBUG - Activity 132336: Initial number of options for activity = 23\n", - "2024-05-14 18:29:38,036 - acbm.assigning - DEBUG - Activity 132336: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:38,037 - acbm.assigning - DEBUG - Activity 132336: sampling based on floor area\n", - "2024-05-14 18:29:38,038 - acbm.assigning - DEBUG - Activity 132338: Initial number of options for activity = 23\n", - "2024-05-14 18:29:38,041 - acbm.assigning - DEBUG - Activity 132338: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:38,041 - acbm.assigning - DEBUG - Activity 132338: sampling based on floor area\n", - "2024-05-14 18:29:38,042 - acbm.assigning - DEBUG - Activity 132340: Initial number of options for activity = 23\n", - "2024-05-14 18:29:38,044 - acbm.assigning - DEBUG - Activity 132340: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:38,045 - acbm.assigning - DEBUG - Activity 132340: sampling based on floor area\n", - "2024-05-14 18:29:38,046 - acbm.assigning - DEBUG - Activity 132344: Initial number of options for activity = 3\n", - "2024-05-14 18:29:38,048 - acbm.assigning - DEBUG - Activity 132344: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:38,048 - acbm.assigning - DEBUG - Activity 132344: sampling based on floor area\n", - "2024-05-14 18:29:38,049 - acbm.assigning - DEBUG - Activity 132346: Initial number of options for activity = 3\n", - "2024-05-14 18:29:38,051 - acbm.assigning - DEBUG - Activity 132346: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:38,051 - acbm.assigning - DEBUG - Activity 132346: sampling based on floor area\n", - "2024-05-14 18:29:38,052 - acbm.assigning - DEBUG - Activity 132371: Initial number of options for activity = 18\n", - "2024-05-14 18:29:38,054 - acbm.assigning - DEBUG - Activity 132371: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:38,055 - acbm.assigning - DEBUG - Activity 132371: sampling based on floor area\n", - "2024-05-14 18:29:38,056 - acbm.assigning - DEBUG - Activity 132375: Initial number of options for activity = 23\n", - "2024-05-14 18:29:38,057 - acbm.assigning - DEBUG - Activity 132375: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:38,058 - acbm.assigning - DEBUG - Activity 132375: sampling based on floor area\n", - "2024-05-14 18:29:38,059 - acbm.assigning - DEBUG - Activity 132377: Initial number of options for activity = 20\n", - "2024-05-14 18:29:38,060 - acbm.assigning - DEBUG - Activity 132377: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:38,061 - acbm.assigning - DEBUG - Activity 132377: sampling based on floor area\n", - "2024-05-14 18:29:38,062 - acbm.assigning - DEBUG - Activity 132379: Initial number of options for activity = 7\n", - "2024-05-14 18:29:38,064 - acbm.assigning - DEBUG - Activity 132379: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:38,065 - acbm.assigning - DEBUG - Activity 132379: sampling based on floor area\n", - "2024-05-14 18:29:38,066 - acbm.assigning - DEBUG - Activity 132383: Initial number of options for activity = 7\n", - "2024-05-14 18:29:38,067 - acbm.assigning - DEBUG - Activity 132383: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:38,068 - acbm.assigning - DEBUG - Activity 132383: sampling based on floor area\n", - "2024-05-14 18:29:38,069 - acbm.assigning - DEBUG - Activity 132676: Initial number of options for activity = 70\n", - "2024-05-14 18:29:38,071 - acbm.assigning - DEBUG - Activity 132676: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:38,071 - acbm.assigning - DEBUG - Activity 132676: sampling based on floor area\n", - "2024-05-14 18:29:38,073 - acbm.assigning - DEBUG - Activity 132678: Initial number of options for activity = 70\n", - "2024-05-14 18:29:38,075 - acbm.assigning - DEBUG - Activity 132678: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:38,076 - acbm.assigning - DEBUG - Activity 132678: sampling based on floor area\n", - "2024-05-14 18:29:38,077 - acbm.assigning - DEBUG - Activity 132682: Initial number of options for activity = 70\n", - "2024-05-14 18:29:38,078 - acbm.assigning - DEBUG - Activity 132682: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:38,079 - acbm.assigning - DEBUG - Activity 132682: sampling based on floor area\n", - "2024-05-14 18:29:38,080 - acbm.assigning - DEBUG - Activity 132684: Initial number of options for activity = 70\n", - "2024-05-14 18:29:38,082 - acbm.assigning - DEBUG - Activity 132684: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:38,083 - acbm.assigning - DEBUG - Activity 132684: sampling based on floor area\n", - "2024-05-14 18:29:38,084 - acbm.assigning - DEBUG - Activity 132686: Initial number of options for activity = 70\n", - "2024-05-14 18:29:38,086 - acbm.assigning - DEBUG - Activity 132686: Number of options after filtering by education type: 70\n", - "2024-05-14 18:29:38,087 - acbm.assigning - DEBUG - Activity 132686: sampling based on floor area\n", - "2024-05-14 18:29:38,088 - acbm.assigning - DEBUG - Activity 132901: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,089 - acbm.assigning - DEBUG - Activity 132901: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,090 - acbm.assigning - DEBUG - Activity 132901: sampling based on floor area\n", - "2024-05-14 18:29:38,091 - acbm.assigning - INFO - Activity 132966: No zones available\n", - "2024-05-14 18:29:38,092 - acbm.assigning - INFO - Activity 132968: No zones available\n", - "2024-05-14 18:29:38,092 - acbm.assigning - INFO - Activity 132971: No zones available\n", - "2024-05-14 18:29:38,093 - acbm.assigning - DEBUG - Activity 132974: Initial number of options for activity = 72\n", - "2024-05-14 18:29:38,095 - acbm.assigning - DEBUG - Activity 132974: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:38,096 - acbm.assigning - DEBUG - Activity 132974: sampling based on floor area\n", - "2024-05-14 18:29:38,098 - acbm.assigning - INFO - Activity 132976: No zones available\n", - "2024-05-14 18:29:38,098 - acbm.assigning - DEBUG - Activity 133061: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,100 - acbm.assigning - DEBUG - Activity 133061: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,101 - acbm.assigning - DEBUG - Activity 133061: sampling based on floor area\n", - "2024-05-14 18:29:38,102 - acbm.assigning - DEBUG - Activity 133063: Initial number of options for activity = 118\n", - "2024-05-14 18:29:38,104 - acbm.assigning - DEBUG - Activity 133063: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:38,105 - acbm.assigning - DEBUG - Activity 133063: sampling based on floor area\n", - "2024-05-14 18:29:38,106 - acbm.assigning - DEBUG - Activity 133185: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,108 - acbm.assigning - DEBUG - Activity 133185: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,108 - acbm.assigning - DEBUG - Activity 133185: sampling based on floor area\n", - "2024-05-14 18:29:38,109 - acbm.assigning - DEBUG - Activity 133186: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,111 - acbm.assigning - DEBUG - Activity 133186: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,112 - acbm.assigning - DEBUG - Activity 133186: sampling based on floor area\n", - "2024-05-14 18:29:38,114 - acbm.assigning - DEBUG - Activity 133193: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,116 - acbm.assigning - DEBUG - Activity 133193: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,117 - acbm.assigning - DEBUG - Activity 133193: sampling based on floor area\n", - "2024-05-14 18:29:38,118 - acbm.assigning - DEBUG - Activity 133194: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,120 - acbm.assigning - DEBUG - Activity 133194: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,121 - acbm.assigning - DEBUG - Activity 133194: sampling based on floor area\n", - "2024-05-14 18:29:38,122 - acbm.assigning - DEBUG - Activity 133195: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,124 - acbm.assigning - DEBUG - Activity 133195: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,125 - acbm.assigning - DEBUG - Activity 133195: sampling based on floor area\n", - "2024-05-14 18:29:38,126 - acbm.assigning - DEBUG - Activity 133198: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,128 - acbm.assigning - DEBUG - Activity 133198: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,128 - acbm.assigning - DEBUG - Activity 133198: sampling based on floor area\n", - "2024-05-14 18:29:38,129 - acbm.assigning - DEBUG - Activity 133199: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,131 - acbm.assigning - DEBUG - Activity 133199: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,132 - acbm.assigning - DEBUG - Activity 133199: sampling based on floor area\n", - "2024-05-14 18:29:38,133 - acbm.assigning - DEBUG - Activity 133202: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,135 - acbm.assigning - DEBUG - Activity 133202: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,136 - acbm.assigning - DEBUG - Activity 133202: sampling based on floor area\n", - "2024-05-14 18:29:38,137 - acbm.assigning - DEBUG - Activity 133203: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,139 - acbm.assigning - DEBUG - Activity 133203: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,139 - acbm.assigning - DEBUG - Activity 133203: sampling based on floor area\n", - "2024-05-14 18:29:38,140 - acbm.assigning - DEBUG - Activity 133204: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,142 - acbm.assigning - DEBUG - Activity 133204: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,143 - acbm.assigning - DEBUG - Activity 133204: sampling based on floor area\n", - "2024-05-14 18:29:38,144 - acbm.assigning - INFO - Activity 133209: No zones available\n", - "2024-05-14 18:29:38,145 - acbm.assigning - DEBUG - Activity 133215: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,147 - acbm.assigning - DEBUG - Activity 133215: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,148 - acbm.assigning - DEBUG - Activity 133215: sampling based on floor area\n", - "2024-05-14 18:29:38,149 - acbm.assigning - DEBUG - Activity 133217: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,151 - acbm.assigning - DEBUG - Activity 133217: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,152 - acbm.assigning - DEBUG - Activity 133217: sampling based on floor area\n", - "2024-05-14 18:29:38,153 - acbm.assigning - DEBUG - Activity 133219: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,156 - acbm.assigning - DEBUG - Activity 133219: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,156 - acbm.assigning - DEBUG - Activity 133219: sampling based on floor area\n", - "2024-05-14 18:29:38,157 - acbm.assigning - DEBUG - Activity 133223: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,159 - acbm.assigning - DEBUG - Activity 133223: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,160 - acbm.assigning - DEBUG - Activity 133223: sampling based on floor area\n", - "2024-05-14 18:29:38,162 - acbm.assigning - DEBUG - Activity 133227: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,165 - acbm.assigning - DEBUG - Activity 133227: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,166 - acbm.assigning - DEBUG - Activity 133227: sampling based on floor area\n", - "2024-05-14 18:29:38,169 - acbm.assigning - DEBUG - Activity 133228: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,173 - acbm.assigning - DEBUG - Activity 133228: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,175 - acbm.assigning - DEBUG - Activity 133228: sampling based on floor area\n", - "2024-05-14 18:29:38,178 - acbm.assigning - DEBUG - Activity 133231: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,181 - acbm.assigning - DEBUG - Activity 133231: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,183 - acbm.assigning - DEBUG - Activity 133231: sampling based on floor area\n", - "2024-05-14 18:29:38,186 - acbm.assigning - DEBUG - Activity 133232: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,190 - acbm.assigning - DEBUG - Activity 133232: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,191 - acbm.assigning - DEBUG - Activity 133232: sampling based on floor area\n", - "2024-05-14 18:29:38,193 - acbm.assigning - DEBUG - Activity 133235: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,196 - acbm.assigning - DEBUG - Activity 133235: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,198 - acbm.assigning - DEBUG - Activity 133235: sampling based on floor area\n", - "2024-05-14 18:29:38,199 - acbm.assigning - DEBUG - Activity 133236: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,203 - acbm.assigning - DEBUG - Activity 133236: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,204 - acbm.assigning - DEBUG - Activity 133236: sampling based on floor area\n", - "2024-05-14 18:29:38,206 - acbm.assigning - DEBUG - Activity 133237: Initial number of options for activity = 5\n", - "2024-05-14 18:29:38,210 - acbm.assigning - DEBUG - Activity 133237: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:38,211 - acbm.assigning - DEBUG - Activity 133237: sampling based on floor area\n", - "2024-05-14 18:29:38,213 - acbm.assigning - DEBUG - Activity 133409: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,216 - acbm.assigning - DEBUG - Activity 133409: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,218 - acbm.assigning - DEBUG - Activity 133409: sampling based on floor area\n", - "2024-05-14 18:29:38,220 - acbm.assigning - DEBUG - Activity 133411: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,224 - acbm.assigning - DEBUG - Activity 133411: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,229 - acbm.assigning - DEBUG - Activity 133411: sampling based on floor area\n", - "2024-05-14 18:29:38,232 - acbm.assigning - DEBUG - Activity 133413: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,238 - acbm.assigning - DEBUG - Activity 133413: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,239 - acbm.assigning - DEBUG - Activity 133413: sampling based on floor area\n", - "2024-05-14 18:29:38,241 - acbm.assigning - DEBUG - Activity 133415: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,244 - acbm.assigning - DEBUG - Activity 133415: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,245 - acbm.assigning - DEBUG - Activity 133415: sampling based on floor area\n", - "2024-05-14 18:29:38,247 - acbm.assigning - INFO - KeyError: Key 133471 in possible_zones has no values\n", - "2024-05-14 18:29:38,248 - acbm.assigning - DEBUG - Activity 133485: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,251 - acbm.assigning - DEBUG - Activity 133485: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,252 - acbm.assigning - DEBUG - Activity 133485: sampling based on floor area\n", - "2024-05-14 18:29:38,254 - acbm.assigning - DEBUG - Activity 133512: Initial number of options for activity = 50\n", - "2024-05-14 18:29:38,257 - acbm.assigning - DEBUG - Activity 133512: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:38,258 - acbm.assigning - DEBUG - Activity 133512: sampling based on floor area\n", - "2024-05-14 18:29:38,260 - acbm.assigning - DEBUG - Activity 133515: Initial number of options for activity = 50\n", - "2024-05-14 18:29:38,266 - acbm.assigning - DEBUG - Activity 133515: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:38,268 - acbm.assigning - DEBUG - Activity 133515: sampling based on floor area\n", - "2024-05-14 18:29:38,270 - acbm.assigning - DEBUG - Activity 133516: Initial number of options for activity = 29\n", - "2024-05-14 18:29:38,274 - acbm.assigning - DEBUG - Activity 133516: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:38,275 - acbm.assigning - DEBUG - Activity 133516: sampling based on floor area\n", - "2024-05-14 18:29:38,277 - acbm.assigning - DEBUG - Activity 133517: Initial number of options for activity = 29\n", - "2024-05-14 18:29:38,283 - acbm.assigning - DEBUG - Activity 133517: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:38,286 - acbm.assigning - DEBUG - Activity 133517: sampling based on floor area\n", - "2024-05-14 18:29:38,289 - acbm.assigning - DEBUG - Activity 133521: Initial number of options for activity = 50\n", - "2024-05-14 18:29:38,291 - acbm.assigning - DEBUG - Activity 133521: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:38,292 - acbm.assigning - DEBUG - Activity 133521: sampling based on floor area\n", - "2024-05-14 18:29:38,293 - acbm.assigning - DEBUG - Activity 133547: Initial number of options for activity = 92\n", - "2024-05-14 18:29:38,295 - acbm.assigning - DEBUG - Activity 133547: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:38,296 - acbm.assigning - DEBUG - Activity 133547: sampling based on floor area\n", - "2024-05-14 18:29:38,297 - acbm.assigning - DEBUG - Activity 133551: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,300 - acbm.assigning - DEBUG - Activity 133551: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,301 - acbm.assigning - DEBUG - Activity 133551: sampling based on floor area\n", - "2024-05-14 18:29:38,302 - acbm.assigning - DEBUG - Activity 133552: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,304 - acbm.assigning - DEBUG - Activity 133552: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,305 - acbm.assigning - DEBUG - Activity 133552: sampling based on floor area\n", - "2024-05-14 18:29:38,307 - acbm.assigning - DEBUG - Activity 133553: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,309 - acbm.assigning - DEBUG - Activity 133553: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,310 - acbm.assigning - DEBUG - Activity 133553: sampling based on floor area\n", - "2024-05-14 18:29:38,311 - acbm.assigning - DEBUG - Activity 133555: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,313 - acbm.assigning - DEBUG - Activity 133555: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,314 - acbm.assigning - DEBUG - Activity 133555: sampling based on floor area\n", - "2024-05-14 18:29:38,316 - acbm.assigning - DEBUG - Activity 133664: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,318 - acbm.assigning - DEBUG - Activity 133664: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,320 - acbm.assigning - DEBUG - Activity 133664: sampling based on floor area\n", - "2024-05-14 18:29:38,322 - acbm.assigning - DEBUG - Activity 133666: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,325 - acbm.assigning - DEBUG - Activity 133666: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,326 - acbm.assigning - DEBUG - Activity 133666: sampling based on floor area\n", - "2024-05-14 18:29:38,328 - acbm.assigning - DEBUG - Activity 133668: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,331 - acbm.assigning - DEBUG - Activity 133668: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,333 - acbm.assigning - DEBUG - Activity 133668: sampling based on floor area\n", - "2024-05-14 18:29:38,335 - acbm.assigning - DEBUG - Activity 133670: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,339 - acbm.assigning - DEBUG - Activity 133670: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,340 - acbm.assigning - DEBUG - Activity 133670: sampling based on floor area\n", - "2024-05-14 18:29:38,342 - acbm.assigning - DEBUG - Activity 133672: Initial number of options for activity = 161\n", - "2024-05-14 18:29:38,345 - acbm.assigning - DEBUG - Activity 133672: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:38,346 - acbm.assigning - DEBUG - Activity 133672: sampling based on floor area\n", - "2024-05-14 18:29:38,348 - acbm.assigning - INFO - Activity 133961: No zones available\n", - "2024-05-14 18:29:38,349 - acbm.assigning - DEBUG - Activity 134005: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,352 - acbm.assigning - DEBUG - Activity 134005: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,353 - acbm.assigning - DEBUG - Activity 134005: sampling based on floor area\n", - "2024-05-14 18:29:38,355 - acbm.assigning - INFO - Activity 134020: No zones available\n", - "2024-05-14 18:29:38,355 - acbm.assigning - DEBUG - Activity 134852: Initial number of options for activity = 54\n", - "2024-05-14 18:29:38,358 - acbm.assigning - DEBUG - Activity 134852: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:38,360 - acbm.assigning - DEBUG - Activity 134852: sampling based on floor area\n", - "2024-05-14 18:29:38,361 - acbm.assigning - DEBUG - Activity 134858: Initial number of options for activity = 54\n", - "2024-05-14 18:29:38,364 - acbm.assigning - DEBUG - Activity 134858: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:38,365 - acbm.assigning - DEBUG - Activity 134858: sampling based on floor area\n", - "2024-05-14 18:29:38,366 - acbm.assigning - DEBUG - Activity 134859: Initial number of options for activity = 54\n", - "2024-05-14 18:29:38,369 - acbm.assigning - DEBUG - Activity 134859: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:38,370 - acbm.assigning - DEBUG - Activity 134859: sampling based on floor area\n", - "2024-05-14 18:29:38,371 - acbm.assigning - DEBUG - Activity 134860: Initial number of options for activity = 42\n", - "2024-05-14 18:29:38,373 - acbm.assigning - DEBUG - Activity 134860: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:38,374 - acbm.assigning - DEBUG - Activity 134860: sampling based on floor area\n", - "2024-05-14 18:29:38,375 - acbm.assigning - DEBUG - Activity 134864: Initial number of options for activity = 46\n", - "2024-05-14 18:29:38,377 - acbm.assigning - DEBUG - Activity 134864: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:38,378 - acbm.assigning - DEBUG - Activity 134864: sampling based on floor area\n", - "2024-05-14 18:29:38,379 - acbm.assigning - DEBUG - Activity 134867: Initial number of options for activity = 54\n", - "2024-05-14 18:29:38,381 - acbm.assigning - DEBUG - Activity 134867: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:38,382 - acbm.assigning - DEBUG - Activity 134867: sampling based on floor area\n", - "2024-05-14 18:29:38,383 - acbm.assigning - DEBUG - Activity 134868: Initial number of options for activity = 54\n", - "2024-05-14 18:29:38,384 - acbm.assigning - DEBUG - Activity 134868: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:38,385 - acbm.assigning - DEBUG - Activity 134868: sampling based on floor area\n", - "2024-05-14 18:29:38,386 - acbm.assigning - DEBUG - Activity 134869: Initial number of options for activity = 42\n", - "2024-05-14 18:29:38,388 - acbm.assigning - DEBUG - Activity 134869: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:38,389 - acbm.assigning - DEBUG - Activity 134869: sampling based on floor area\n", - "2024-05-14 18:29:38,390 - acbm.assigning - DEBUG - Activity 134876: Initial number of options for activity = 46\n", - "2024-05-14 18:29:38,391 - acbm.assigning - DEBUG - Activity 134876: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:38,392 - acbm.assigning - DEBUG - Activity 134876: sampling based on floor area\n", - "2024-05-14 18:29:38,393 - acbm.assigning - DEBUG - Activity 134882: Initial number of options for activity = 54\n", - "2024-05-14 18:29:38,395 - acbm.assigning - DEBUG - Activity 134882: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:38,396 - acbm.assigning - DEBUG - Activity 134882: sampling based on floor area\n", - "2024-05-14 18:29:38,397 - acbm.assigning - DEBUG - Activity 134903: Initial number of options for activity = 125\n", - "2024-05-14 18:29:38,399 - acbm.assigning - DEBUG - Activity 134903: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:38,399 - acbm.assigning - DEBUG - Activity 134903: sampling based on floor area\n", - "2024-05-14 18:29:38,400 - acbm.assigning - DEBUG - Activity 134907: Initial number of options for activity = 125\n", - "2024-05-14 18:29:38,402 - acbm.assigning - DEBUG - Activity 134907: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:38,403 - acbm.assigning - DEBUG - Activity 134907: sampling based on floor area\n", - "2024-05-14 18:29:38,404 - acbm.assigning - DEBUG - Activity 134909: Initial number of options for activity = 125\n", - "2024-05-14 18:29:38,405 - acbm.assigning - DEBUG - Activity 134909: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:38,406 - acbm.assigning - DEBUG - Activity 134909: sampling based on floor area\n", - "2024-05-14 18:29:38,407 - acbm.assigning - DEBUG - Activity 134911: Initial number of options for activity = 125\n", - "2024-05-14 18:29:38,408 - acbm.assigning - DEBUG - Activity 134911: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:38,409 - acbm.assigning - DEBUG - Activity 134911: sampling based on floor area\n", - "2024-05-14 18:29:38,410 - acbm.assigning - DEBUG - Activity 134917: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,412 - acbm.assigning - DEBUG - Activity 134917: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,413 - acbm.assigning - DEBUG - Activity 134917: sampling based on floor area\n", - "2024-05-14 18:29:38,414 - acbm.assigning - DEBUG - Activity 135034: Initial number of options for activity = 132\n", - "2024-05-14 18:29:38,415 - acbm.assigning - DEBUG - Activity 135034: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:38,416 - acbm.assigning - DEBUG - Activity 135034: sampling based on floor area\n", - "2024-05-14 18:29:38,417 - acbm.assigning - DEBUG - Activity 135036: Initial number of options for activity = 132\n", - "2024-05-14 18:29:38,418 - acbm.assigning - DEBUG - Activity 135036: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:38,419 - acbm.assigning - DEBUG - Activity 135036: sampling based on floor area\n", - "2024-05-14 18:29:38,420 - acbm.assigning - DEBUG - Activity 135038: Initial number of options for activity = 132\n", - "2024-05-14 18:29:38,422 - acbm.assigning - DEBUG - Activity 135038: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:38,422 - acbm.assigning - DEBUG - Activity 135038: sampling based on floor area\n", - "2024-05-14 18:29:38,424 - acbm.assigning - DEBUG - Activity 135040: Initial number of options for activity = 132\n", - "2024-05-14 18:29:38,426 - acbm.assigning - DEBUG - Activity 135040: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:38,426 - acbm.assigning - DEBUG - Activity 135040: sampling based on floor area\n", - "2024-05-14 18:29:38,428 - acbm.assigning - DEBUG - Activity 135042: Initial number of options for activity = 132\n", - "2024-05-14 18:29:38,430 - acbm.assigning - DEBUG - Activity 135042: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:38,430 - acbm.assigning - DEBUG - Activity 135042: sampling based on floor area\n", - "2024-05-14 18:29:38,432 - acbm.assigning - DEBUG - Activity 135168: Initial number of options for activity = 46\n", - "2024-05-14 18:29:38,433 - acbm.assigning - DEBUG - Activity 135168: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:38,434 - acbm.assigning - DEBUG - Activity 135168: sampling based on floor area\n", - "2024-05-14 18:29:38,435 - acbm.assigning - DEBUG - Activity 135170: Initial number of options for activity = 46\n", - "2024-05-14 18:29:38,437 - acbm.assigning - DEBUG - Activity 135170: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:38,438 - acbm.assigning - DEBUG - Activity 135170: sampling based on floor area\n", - "2024-05-14 18:29:38,439 - acbm.assigning - DEBUG - Activity 135172: Initial number of options for activity = 46\n", - "2024-05-14 18:29:38,440 - acbm.assigning - DEBUG - Activity 135172: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:38,441 - acbm.assigning - DEBUG - Activity 135172: sampling based on floor area\n", - "2024-05-14 18:29:38,442 - acbm.assigning - DEBUG - Activity 135174: Initial number of options for activity = 46\n", - "2024-05-14 18:29:38,444 - acbm.assigning - DEBUG - Activity 135174: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:38,445 - acbm.assigning - DEBUG - Activity 135174: sampling based on floor area\n", - "2024-05-14 18:29:38,446 - acbm.assigning - DEBUG - Activity 135276: Initial number of options for activity = 31\n", - "2024-05-14 18:29:38,448 - acbm.assigning - DEBUG - Activity 135276: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:38,449 - acbm.assigning - DEBUG - Activity 135276: sampling based on floor area\n", - "2024-05-14 18:29:38,450 - acbm.assigning - DEBUG - Activity 135278: Initial number of options for activity = 31\n", - "2024-05-14 18:29:38,453 - acbm.assigning - DEBUG - Activity 135278: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:38,454 - acbm.assigning - DEBUG - Activity 135278: sampling based on floor area\n", - "2024-05-14 18:29:38,455 - acbm.assigning - DEBUG - Activity 135280: Initial number of options for activity = 31\n", - "2024-05-14 18:29:38,458 - acbm.assigning - DEBUG - Activity 135280: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:38,459 - acbm.assigning - DEBUG - Activity 135280: sampling based on floor area\n", - "2024-05-14 18:29:38,461 - acbm.assigning - INFO - Activity 135374: No zones available\n", - "2024-05-14 18:29:38,461 - acbm.assigning - INFO - Activity 135383: No zones available\n", - "2024-05-14 18:29:38,462 - acbm.assigning - DEBUG - Activity 135476: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,465 - acbm.assigning - DEBUG - Activity 135476: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,465 - acbm.assigning - DEBUG - Activity 135476: sampling based on floor area\n", - "2024-05-14 18:29:38,467 - acbm.assigning - DEBUG - Activity 135478: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,468 - acbm.assigning - DEBUG - Activity 135478: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,469 - acbm.assigning - DEBUG - Activity 135478: sampling based on floor area\n", - "2024-05-14 18:29:38,470 - acbm.assigning - DEBUG - Activity 135480: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,471 - acbm.assigning - DEBUG - Activity 135480: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,472 - acbm.assigning - DEBUG - Activity 135480: sampling based on floor area\n", - "2024-05-14 18:29:38,473 - acbm.assigning - DEBUG - Activity 135482: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,475 - acbm.assigning - DEBUG - Activity 135482: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,475 - acbm.assigning - DEBUG - Activity 135482: sampling based on floor area\n", - "2024-05-14 18:29:38,476 - acbm.assigning - DEBUG - Activity 135484: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,478 - acbm.assigning - DEBUG - Activity 135484: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,479 - acbm.assigning - DEBUG - Activity 135484: sampling based on floor area\n", - "2024-05-14 18:29:38,480 - acbm.assigning - DEBUG - Activity 135488: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,481 - acbm.assigning - DEBUG - Activity 135488: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,482 - acbm.assigning - DEBUG - Activity 135488: sampling based on floor area\n", - "2024-05-14 18:29:38,483 - acbm.assigning - DEBUG - Activity 135490: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,484 - acbm.assigning - DEBUG - Activity 135490: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,485 - acbm.assigning - DEBUG - Activity 135490: sampling based on floor area\n", - "2024-05-14 18:29:38,486 - acbm.assigning - DEBUG - Activity 135492: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,488 - acbm.assigning - DEBUG - Activity 135492: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,488 - acbm.assigning - DEBUG - Activity 135492: sampling based on floor area\n", - "2024-05-14 18:29:38,489 - acbm.assigning - DEBUG - Activity 135494: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,490 - acbm.assigning - DEBUG - Activity 135494: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,491 - acbm.assigning - DEBUG - Activity 135494: sampling based on floor area\n", - "2024-05-14 18:29:38,492 - acbm.assigning - DEBUG - Activity 135496: Initial number of options for activity = 30\n", - "2024-05-14 18:29:38,493 - acbm.assigning - DEBUG - Activity 135496: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:38,494 - acbm.assigning - DEBUG - Activity 135496: sampling based on floor area\n", - "2024-05-14 18:29:38,495 - acbm.assigning - INFO - Activity 135517: No zones available\n", - "2024-05-14 18:29:38,496 - acbm.assigning - INFO - Activity 135518: No zones available\n", - "2024-05-14 18:29:38,496 - acbm.assigning - INFO - Activity 135522: No zones available\n", - "2024-05-14 18:29:38,496 - acbm.assigning - INFO - Activity 135523: No zones available\n", - "2024-05-14 18:29:38,497 - acbm.assigning - INFO - Activity 135525: No zones available\n", - "2024-05-14 18:29:38,497 - acbm.assigning - DEBUG - Activity 135628: Initial number of options for activity = 44\n", - "2024-05-14 18:29:38,499 - acbm.assigning - DEBUG - Activity 135628: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:38,500 - acbm.assigning - DEBUG - Activity 135628: sampling based on floor area\n", - "2024-05-14 18:29:38,501 - acbm.assigning - DEBUG - Activity 135630: Initial number of options for activity = 44\n", - "2024-05-14 18:29:38,503 - acbm.assigning - DEBUG - Activity 135630: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:38,503 - acbm.assigning - DEBUG - Activity 135630: sampling based on floor area\n", - "2024-05-14 18:29:38,505 - acbm.assigning - DEBUG - Activity 135632: Initial number of options for activity = 44\n", - "2024-05-14 18:29:38,507 - acbm.assigning - DEBUG - Activity 135632: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:38,508 - acbm.assigning - DEBUG - Activity 135632: sampling based on floor area\n", - "2024-05-14 18:29:38,509 - acbm.assigning - DEBUG - Activity 135634: Initial number of options for activity = 44\n", - "2024-05-14 18:29:38,511 - acbm.assigning - DEBUG - Activity 135634: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:38,512 - acbm.assigning - DEBUG - Activity 135634: sampling based on floor area\n", - "2024-05-14 18:29:38,513 - acbm.assigning - DEBUG - Activity 135669: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,515 - acbm.assigning - DEBUG - Activity 135669: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,516 - acbm.assigning - DEBUG - Activity 135669: sampling based on floor area\n", - "2024-05-14 18:29:38,516 - acbm.assigning - DEBUG - Activity 135765: Initial number of options for activity = 43\n", - "2024-05-14 18:29:38,519 - acbm.assigning - DEBUG - Activity 135765: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:38,519 - acbm.assigning - DEBUG - Activity 135765: sampling based on floor area\n", - "2024-05-14 18:29:38,521 - acbm.assigning - DEBUG - Activity 135769: Initial number of options for activity = 11\n", - "2024-05-14 18:29:38,522 - acbm.assigning - DEBUG - Activity 135769: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:38,523 - acbm.assigning - DEBUG - Activity 135769: sampling based on floor area\n", - "2024-05-14 18:29:38,524 - acbm.assigning - DEBUG - Activity 135771: Initial number of options for activity = 11\n", - "2024-05-14 18:29:38,526 - acbm.assigning - DEBUG - Activity 135771: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:38,528 - acbm.assigning - DEBUG - Activity 135771: sampling based on floor area\n", - "2024-05-14 18:29:38,529 - acbm.assigning - DEBUG - Activity 135778: Initial number of options for activity = 11\n", - "2024-05-14 18:29:38,531 - acbm.assigning - DEBUG - Activity 135778: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:38,532 - acbm.assigning - DEBUG - Activity 135778: sampling based on floor area\n", - "2024-05-14 18:29:38,533 - acbm.assigning - DEBUG - Activity 135780: Initial number of options for activity = 11\n", - "2024-05-14 18:29:38,535 - acbm.assigning - DEBUG - Activity 135780: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:38,535 - acbm.assigning - DEBUG - Activity 135780: sampling based on floor area\n", - "2024-05-14 18:29:38,537 - acbm.assigning - DEBUG - Activity 135851: Initial number of options for activity = 107\n", - "2024-05-14 18:29:38,539 - acbm.assigning - DEBUG - Activity 135851: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:38,539 - acbm.assigning - DEBUG - Activity 135851: sampling based on floor area\n", - "2024-05-14 18:29:38,540 - acbm.assigning - DEBUG - Activity 135852: Initial number of options for activity = 107\n", - "2024-05-14 18:29:38,542 - acbm.assigning - DEBUG - Activity 135852: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:38,543 - acbm.assigning - DEBUG - Activity 135852: sampling based on floor area\n", - "2024-05-14 18:29:38,544 - acbm.assigning - DEBUG - Activity 135855: Initial number of options for activity = 107\n", - "2024-05-14 18:29:38,546 - acbm.assigning - DEBUG - Activity 135855: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:38,547 - acbm.assigning - DEBUG - Activity 135855: sampling based on floor area\n", - "2024-05-14 18:29:38,548 - acbm.assigning - DEBUG - Activity 135856: Initial number of options for activity = 107\n", - "2024-05-14 18:29:38,550 - acbm.assigning - DEBUG - Activity 135856: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:38,551 - acbm.assigning - DEBUG - Activity 135856: sampling based on floor area\n", - "2024-05-14 18:29:38,553 - acbm.assigning - DEBUG - Activity 135940: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,555 - acbm.assigning - DEBUG - Activity 135940: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,556 - acbm.assigning - DEBUG - Activity 135940: sampling based on floor area\n", - "2024-05-14 18:29:38,558 - acbm.assigning - INFO - Activity 135990: No zones available\n", - "2024-05-14 18:29:38,558 - acbm.assigning - DEBUG - Activity 136164: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,561 - acbm.assigning - DEBUG - Activity 136164: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,562 - acbm.assigning - DEBUG - Activity 136164: sampling based on floor area\n", - "2024-05-14 18:29:38,564 - acbm.assigning - DEBUG - Activity 136168: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,567 - acbm.assigning - DEBUG - Activity 136168: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,568 - acbm.assigning - DEBUG - Activity 136168: sampling based on floor area\n", - "2024-05-14 18:29:38,569 - acbm.assigning - DEBUG - Activity 136173: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,571 - acbm.assigning - DEBUG - Activity 136173: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,572 - acbm.assigning - DEBUG - Activity 136173: sampling based on floor area\n", - "2024-05-14 18:29:38,574 - acbm.assigning - DEBUG - Activity 136175: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,577 - acbm.assigning - DEBUG - Activity 136175: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,578 - acbm.assigning - DEBUG - Activity 136175: sampling based on floor area\n", - "2024-05-14 18:29:38,580 - acbm.assigning - DEBUG - Activity 136178: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,582 - acbm.assigning - DEBUG - Activity 136178: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,584 - acbm.assigning - DEBUG - Activity 136178: sampling based on floor area\n", - "2024-05-14 18:29:38,585 - acbm.assigning - DEBUG - Activity 136279: Initial number of options for activity = 15\n", - "2024-05-14 18:29:38,588 - acbm.assigning - DEBUG - Activity 136279: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:38,590 - acbm.assigning - DEBUG - Activity 136279: sampling based on floor area\n", - "2024-05-14 18:29:38,592 - acbm.assigning - DEBUG - Activity 136281: Initial number of options for activity = 15\n", - "2024-05-14 18:29:38,595 - acbm.assigning - DEBUG - Activity 136281: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:38,595 - acbm.assigning - DEBUG - Activity 136281: sampling based on floor area\n", - "2024-05-14 18:29:38,597 - acbm.assigning - DEBUG - Activity 136285: Initial number of options for activity = 15\n", - "2024-05-14 18:29:38,599 - acbm.assigning - DEBUG - Activity 136285: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:38,600 - acbm.assigning - DEBUG - Activity 136285: sampling based on floor area\n", - "2024-05-14 18:29:38,601 - acbm.assigning - DEBUG - Activity 136287: Initial number of options for activity = 15\n", - "2024-05-14 18:29:38,603 - acbm.assigning - DEBUG - Activity 136287: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:38,604 - acbm.assigning - DEBUG - Activity 136287: sampling based on floor area\n", - "2024-05-14 18:29:38,605 - acbm.assigning - DEBUG - Activity 136419: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,607 - acbm.assigning - DEBUG - Activity 136419: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,608 - acbm.assigning - DEBUG - Activity 136419: sampling based on floor area\n", - "2024-05-14 18:29:38,609 - acbm.assigning - DEBUG - Activity 136421: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,611 - acbm.assigning - DEBUG - Activity 136421: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,612 - acbm.assigning - DEBUG - Activity 136421: sampling based on floor area\n", - "2024-05-14 18:29:38,614 - acbm.assigning - DEBUG - Activity 136423: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,617 - acbm.assigning - DEBUG - Activity 136423: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,618 - acbm.assigning - DEBUG - Activity 136423: sampling based on floor area\n", - "2024-05-14 18:29:38,619 - acbm.assigning - DEBUG - Activity 136425: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,621 - acbm.assigning - DEBUG - Activity 136425: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,622 - acbm.assigning - DEBUG - Activity 136425: sampling based on floor area\n", - "2024-05-14 18:29:38,623 - acbm.assigning - DEBUG - Activity 136427: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,626 - acbm.assigning - DEBUG - Activity 136427: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,627 - acbm.assigning - DEBUG - Activity 136427: sampling based on floor area\n", - "2024-05-14 18:29:38,628 - acbm.assigning - DEBUG - Activity 136429: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,630 - acbm.assigning - DEBUG - Activity 136429: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,631 - acbm.assigning - DEBUG - Activity 136429: sampling based on floor area\n", - "2024-05-14 18:29:38,632 - acbm.assigning - DEBUG - Activity 136431: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,634 - acbm.assigning - DEBUG - Activity 136431: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,635 - acbm.assigning - DEBUG - Activity 136431: sampling based on floor area\n", - "2024-05-14 18:29:38,636 - acbm.assigning - DEBUG - Activity 136433: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,638 - acbm.assigning - DEBUG - Activity 136433: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,640 - acbm.assigning - DEBUG - Activity 136433: sampling based on floor area\n", - "2024-05-14 18:29:38,641 - acbm.assigning - DEBUG - Activity 136435: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,643 - acbm.assigning - DEBUG - Activity 136435: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,644 - acbm.assigning - DEBUG - Activity 136435: sampling based on floor area\n", - "2024-05-14 18:29:38,645 - acbm.assigning - DEBUG - Activity 136437: Initial number of options for activity = 14\n", - "2024-05-14 18:29:38,648 - acbm.assigning - DEBUG - Activity 136437: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:38,649 - acbm.assigning - DEBUG - Activity 136437: sampling based on floor area\n", - "2024-05-14 18:29:38,651 - acbm.assigning - DEBUG - Activity 136754: Initial number of options for activity = 106\n", - "2024-05-14 18:29:38,654 - acbm.assigning - DEBUG - Activity 136754: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:38,655 - acbm.assigning - DEBUG - Activity 136754: sampling based on floor area\n", - "2024-05-14 18:29:38,656 - acbm.assigning - DEBUG - Activity 136756: Initial number of options for activity = 106\n", - "2024-05-14 18:29:38,667 - acbm.assigning - DEBUG - Activity 136756: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:38,668 - acbm.assigning - DEBUG - Activity 136756: sampling based on floor area\n", - "2024-05-14 18:29:38,670 - acbm.assigning - DEBUG - Activity 136758: Initial number of options for activity = 106\n", - "2024-05-14 18:29:38,673 - acbm.assigning - DEBUG - Activity 136758: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:38,674 - acbm.assigning - DEBUG - Activity 136758: sampling based on floor area\n", - "2024-05-14 18:29:38,677 - acbm.assigning - DEBUG - Activity 136760: Initial number of options for activity = 106\n", - "2024-05-14 18:29:38,681 - acbm.assigning - DEBUG - Activity 136760: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:38,682 - acbm.assigning - DEBUG - Activity 136760: sampling based on floor area\n", - "2024-05-14 18:29:38,684 - acbm.assigning - DEBUG - Activity 136819: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,686 - acbm.assigning - DEBUG - Activity 136819: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,686 - acbm.assigning - DEBUG - Activity 136819: sampling based on floor area\n", - "2024-05-14 18:29:38,688 - acbm.assigning - INFO - Activity 136883: No zones available\n", - "2024-05-14 18:29:38,688 - acbm.assigning - DEBUG - Activity 136943: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,690 - acbm.assigning - DEBUG - Activity 136943: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,691 - acbm.assigning - DEBUG - Activity 136943: sampling based on floor area\n", - "2024-05-14 18:29:38,693 - acbm.assigning - DEBUG - Activity 136945: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,694 - acbm.assigning - DEBUG - Activity 136945: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,695 - acbm.assigning - DEBUG - Activity 136945: sampling based on floor area\n", - "2024-05-14 18:29:38,696 - acbm.assigning - DEBUG - Activity 136947: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,699 - acbm.assigning - DEBUG - Activity 136947: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,700 - acbm.assigning - DEBUG - Activity 136947: sampling based on floor area\n", - "2024-05-14 18:29:38,701 - acbm.assigning - DEBUG - Activity 136949: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,703 - acbm.assigning - DEBUG - Activity 136949: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,704 - acbm.assigning - DEBUG - Activity 136949: sampling based on floor area\n", - "2024-05-14 18:29:38,705 - acbm.assigning - DEBUG - Activity 136951: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,707 - acbm.assigning - DEBUG - Activity 136951: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,708 - acbm.assigning - DEBUG - Activity 136951: sampling based on floor area\n", - "2024-05-14 18:29:38,710 - acbm.assigning - DEBUG - Activity 137309: Initial number of options for activity = 108\n", - "2024-05-14 18:29:38,712 - acbm.assigning - DEBUG - Activity 137309: Number of options after filtering by education type: 108\n", - "2024-05-14 18:29:38,713 - acbm.assigning - DEBUG - Activity 137309: sampling based on floor area\n", - "2024-05-14 18:29:38,714 - acbm.assigning - DEBUG - Activity 137311: Initial number of options for activity = 108\n", - "2024-05-14 18:29:38,716 - acbm.assigning - DEBUG - Activity 137311: Number of options after filtering by education type: 108\n", - "2024-05-14 18:29:38,717 - acbm.assigning - DEBUG - Activity 137311: sampling based on floor area\n", - "2024-05-14 18:29:38,719 - acbm.assigning - DEBUG - Activity 137313: Initial number of options for activity = 108\n", - "2024-05-14 18:29:38,721 - acbm.assigning - DEBUG - Activity 137313: Number of options after filtering by education type: 108\n", - "2024-05-14 18:29:38,722 - acbm.assigning - DEBUG - Activity 137313: sampling based on floor area\n", - "2024-05-14 18:29:38,723 - acbm.assigning - DEBUG - Activity 137315: Initial number of options for activity = 108\n", - "2024-05-14 18:29:38,726 - acbm.assigning - DEBUG - Activity 137315: Number of options after filtering by education type: 108\n", - "2024-05-14 18:29:38,727 - acbm.assigning - DEBUG - Activity 137315: sampling based on floor area\n", - "2024-05-14 18:29:38,728 - acbm.assigning - DEBUG - Activity 137623: Initial number of options for activity = 89\n", - "2024-05-14 18:29:38,731 - acbm.assigning - DEBUG - Activity 137623: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:38,731 - acbm.assigning - DEBUG - Activity 137623: sampling based on floor area\n", - "2024-05-14 18:29:38,733 - acbm.assigning - DEBUG - Activity 137625: Initial number of options for activity = 89\n", - "2024-05-14 18:29:38,735 - acbm.assigning - DEBUG - Activity 137625: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:38,736 - acbm.assigning - DEBUG - Activity 137625: sampling based on floor area\n", - "2024-05-14 18:29:38,738 - acbm.assigning - DEBUG - Activity 137629: Initial number of options for activity = 89\n", - "2024-05-14 18:29:38,741 - acbm.assigning - DEBUG - Activity 137629: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:38,751 - acbm.assigning - DEBUG - Activity 137629: sampling based on floor area\n", - "2024-05-14 18:29:38,753 - acbm.assigning - DEBUG - Activity 137631: Initial number of options for activity = 89\n", - "2024-05-14 18:29:38,757 - acbm.assigning - DEBUG - Activity 137631: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:38,758 - acbm.assigning - DEBUG - Activity 137631: sampling based on floor area\n", - "2024-05-14 18:29:38,760 - acbm.assigning - DEBUG - Activity 137633: Initial number of options for activity = 89\n", - "2024-05-14 18:29:38,762 - acbm.assigning - DEBUG - Activity 137633: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:38,763 - acbm.assigning - DEBUG - Activity 137633: sampling based on floor area\n", - "2024-05-14 18:29:38,765 - acbm.assigning - DEBUG - Activity 137902: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,767 - acbm.assigning - DEBUG - Activity 137902: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,768 - acbm.assigning - DEBUG - Activity 137902: sampling based on floor area\n", - "2024-05-14 18:29:38,770 - acbm.assigning - DEBUG - Activity 137904: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,772 - acbm.assigning - DEBUG - Activity 137904: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,774 - acbm.assigning - DEBUG - Activity 137904: sampling based on floor area\n", - "2024-05-14 18:29:38,775 - acbm.assigning - DEBUG - Activity 137906: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,778 - acbm.assigning - DEBUG - Activity 137906: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,779 - acbm.assigning - DEBUG - Activity 137906: sampling based on floor area\n", - "2024-05-14 18:29:38,781 - acbm.assigning - DEBUG - Activity 137908: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,783 - acbm.assigning - DEBUG - Activity 137908: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,784 - acbm.assigning - DEBUG - Activity 137908: sampling based on floor area\n", - "2024-05-14 18:29:38,786 - acbm.assigning - DEBUG - Activity 137974: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,788 - acbm.assigning - DEBUG - Activity 137974: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,788 - acbm.assigning - DEBUG - Activity 137974: sampling based on floor area\n", - "2024-05-14 18:29:38,789 - acbm.assigning - DEBUG - Activity 138021: Initial number of options for activity = 82\n", - "2024-05-14 18:29:38,791 - acbm.assigning - DEBUG - Activity 138021: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:38,792 - acbm.assigning - DEBUG - Activity 138021: sampling based on floor area\n", - "2024-05-14 18:29:38,793 - acbm.assigning - DEBUG - Activity 138023: Initial number of options for activity = 82\n", - "2024-05-14 18:29:38,795 - acbm.assigning - DEBUG - Activity 138023: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:38,795 - acbm.assigning - DEBUG - Activity 138023: sampling based on floor area\n", - "2024-05-14 18:29:38,796 - acbm.assigning - DEBUG - Activity 138027: Initial number of options for activity = 82\n", - "2024-05-14 18:29:38,798 - acbm.assigning - DEBUG - Activity 138027: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:38,799 - acbm.assigning - DEBUG - Activity 138027: sampling based on floor area\n", - "2024-05-14 18:29:38,800 - acbm.assigning - DEBUG - Activity 138029: Initial number of options for activity = 82\n", - "2024-05-14 18:29:38,801 - acbm.assigning - DEBUG - Activity 138029: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:38,802 - acbm.assigning - DEBUG - Activity 138029: sampling based on floor area\n", - "2024-05-14 18:29:38,803 - acbm.assigning - DEBUG - Activity 138031: Initial number of options for activity = 82\n", - "2024-05-14 18:29:38,806 - acbm.assigning - DEBUG - Activity 138031: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:38,807 - acbm.assigning - DEBUG - Activity 138031: sampling based on floor area\n", - "2024-05-14 18:29:38,809 - acbm.assigning - DEBUG - Activity 138206: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,811 - acbm.assigning - DEBUG - Activity 138206: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,812 - acbm.assigning - DEBUG - Activity 138206: sampling based on floor area\n", - "2024-05-14 18:29:38,814 - acbm.assigning - DEBUG - Activity 138207: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,817 - acbm.assigning - DEBUG - Activity 138207: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,818 - acbm.assigning - DEBUG - Activity 138207: sampling based on floor area\n", - "2024-05-14 18:29:38,820 - acbm.assigning - DEBUG - Activity 138211: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,823 - acbm.assigning - DEBUG - Activity 138211: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,824 - acbm.assigning - DEBUG - Activity 138211: sampling based on floor area\n", - "2024-05-14 18:29:38,826 - acbm.assigning - DEBUG - Activity 138212: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,828 - acbm.assigning - DEBUG - Activity 138212: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,830 - acbm.assigning - DEBUG - Activity 138212: sampling based on floor area\n", - "2024-05-14 18:29:38,832 - acbm.assigning - DEBUG - Activity 138213: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,835 - acbm.assigning - DEBUG - Activity 138213: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,836 - acbm.assigning - DEBUG - Activity 138213: sampling based on floor area\n", - "2024-05-14 18:29:38,838 - acbm.assigning - DEBUG - Activity 138278: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,841 - acbm.assigning - DEBUG - Activity 138278: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,842 - acbm.assigning - DEBUG - Activity 138278: sampling based on floor area\n", - "2024-05-14 18:29:38,843 - acbm.assigning - DEBUG - Activity 138280: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,846 - acbm.assigning - DEBUG - Activity 138280: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,846 - acbm.assigning - DEBUG - Activity 138280: sampling based on floor area\n", - "2024-05-14 18:29:38,848 - acbm.assigning - DEBUG - Activity 138282: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,850 - acbm.assigning - DEBUG - Activity 138282: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,851 - acbm.assigning - DEBUG - Activity 138282: sampling based on floor area\n", - "2024-05-14 18:29:38,852 - acbm.assigning - DEBUG - Activity 138284: Initial number of options for activity = 133\n", - "2024-05-14 18:29:38,854 - acbm.assigning - DEBUG - Activity 138284: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:38,854 - acbm.assigning - DEBUG - Activity 138284: sampling based on floor area\n", - "2024-05-14 18:29:38,855 - acbm.assigning - DEBUG - Activity 138322: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,857 - acbm.assigning - DEBUG - Activity 138322: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,858 - acbm.assigning - DEBUG - Activity 138322: sampling based on floor area\n", - "2024-05-14 18:29:38,859 - acbm.assigning - DEBUG - Activity 138324: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,861 - acbm.assigning - DEBUG - Activity 138324: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,863 - acbm.assigning - DEBUG - Activity 138324: sampling based on floor area\n", - "2024-05-14 18:29:38,865 - acbm.assigning - DEBUG - Activity 138326: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,867 - acbm.assigning - DEBUG - Activity 138326: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,868 - acbm.assigning - DEBUG - Activity 138326: sampling based on floor area\n", - "2024-05-14 18:29:38,869 - acbm.assigning - DEBUG - Activity 138328: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,871 - acbm.assigning - DEBUG - Activity 138328: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,872 - acbm.assigning - DEBUG - Activity 138328: sampling based on floor area\n", - "2024-05-14 18:29:38,873 - acbm.assigning - DEBUG - Activity 138330: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,874 - acbm.assigning - DEBUG - Activity 138330: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,874 - acbm.assigning - DEBUG - Activity 138330: sampling based on floor area\n", - "2024-05-14 18:29:38,875 - acbm.assigning - INFO - Activity 138423: No zones available\n", - "2024-05-14 18:29:38,876 - acbm.assigning - DEBUG - Activity 138431: Initial number of options for activity = 8\n", - "2024-05-14 18:29:38,879 - acbm.assigning - DEBUG - Activity 138431: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:38,879 - acbm.assigning - DEBUG - Activity 138431: sampling based on floor area\n", - "2024-05-14 18:29:38,881 - acbm.assigning - DEBUG - Activity 138434: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,882 - acbm.assigning - DEBUG - Activity 138434: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,883 - acbm.assigning - DEBUG - Activity 138434: sampling based on floor area\n", - "2024-05-14 18:29:38,884 - acbm.assigning - DEBUG - Activity 138438: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,886 - acbm.assigning - DEBUG - Activity 138438: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,887 - acbm.assigning - DEBUG - Activity 138438: sampling based on floor area\n", - "2024-05-14 18:29:38,889 - acbm.assigning - DEBUG - Activity 138573: Initial number of options for activity = 2\n", - "2024-05-14 18:29:38,892 - acbm.assigning - DEBUG - Activity 138573: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:38,894 - acbm.assigning - DEBUG - Activity 138573: sampling based on floor area\n", - "2024-05-14 18:29:38,896 - acbm.assigning - DEBUG - Activity 138575: Initial number of options for activity = 2\n", - "2024-05-14 18:29:38,898 - acbm.assigning - DEBUG - Activity 138575: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:38,909 - acbm.assigning - DEBUG - Activity 138575: sampling based on floor area\n", - "2024-05-14 18:29:38,911 - acbm.assigning - DEBUG - Activity 138579: Initial number of options for activity = 2\n", - "2024-05-14 18:29:38,915 - acbm.assigning - DEBUG - Activity 138579: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:38,916 - acbm.assigning - DEBUG - Activity 138579: sampling based on floor area\n", - "2024-05-14 18:29:38,917 - acbm.assigning - DEBUG - Activity 138584: Initial number of options for activity = 2\n", - "2024-05-14 18:29:38,919 - acbm.assigning - DEBUG - Activity 138584: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:38,920 - acbm.assigning - DEBUG - Activity 138584: sampling based on floor area\n", - "2024-05-14 18:29:38,921 - acbm.assigning - DEBUG - Activity 138586: Initial number of options for activity = 2\n", - "2024-05-14 18:29:38,923 - acbm.assigning - DEBUG - Activity 138586: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:38,923 - acbm.assigning - DEBUG - Activity 138586: sampling based on floor area\n", - "2024-05-14 18:29:38,924 - acbm.assigning - DEBUG - Activity 138615: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,926 - acbm.assigning - DEBUG - Activity 138615: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,926 - acbm.assigning - DEBUG - Activity 138615: sampling based on floor area\n", - "2024-05-14 18:29:38,927 - acbm.assigning - DEBUG - Activity 138617: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,929 - acbm.assigning - DEBUG - Activity 138617: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,930 - acbm.assigning - DEBUG - Activity 138617: sampling based on floor area\n", - "2024-05-14 18:29:38,931 - acbm.assigning - DEBUG - Activity 138619: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,933 - acbm.assigning - DEBUG - Activity 138619: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,934 - acbm.assigning - DEBUG - Activity 138619: sampling based on floor area\n", - "2024-05-14 18:29:38,934 - acbm.assigning - DEBUG - Activity 138621: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,936 - acbm.assigning - DEBUG - Activity 138621: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,937 - acbm.assigning - DEBUG - Activity 138621: sampling based on floor area\n", - "2024-05-14 18:29:38,938 - acbm.assigning - DEBUG - Activity 138623: Initial number of options for activity = 1\n", - "2024-05-14 18:29:38,940 - acbm.assigning - DEBUG - Activity 138623: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:38,941 - acbm.assigning - DEBUG - Activity 138623: sampling based on floor area\n", - "2024-05-14 18:29:38,942 - acbm.assigning - DEBUG - Activity 138679: Initial number of options for activity = 11\n", - "2024-05-14 18:29:38,944 - acbm.assigning - DEBUG - Activity 138679: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:38,946 - acbm.assigning - DEBUG - Activity 138679: sampling based on floor area\n", - "2024-05-14 18:29:38,948 - acbm.assigning - DEBUG - Activity 138681: Initial number of options for activity = 10\n", - "2024-05-14 18:29:38,950 - acbm.assigning - DEBUG - Activity 138681: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:38,951 - acbm.assigning - DEBUG - Activity 138681: sampling based on floor area\n", - "2024-05-14 18:29:38,953 - acbm.assigning - DEBUG - Activity 138683: Initial number of options for activity = 10\n", - "2024-05-14 18:29:38,956 - acbm.assigning - DEBUG - Activity 138683: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:38,956 - acbm.assigning - DEBUG - Activity 138683: sampling based on floor area\n", - "2024-05-14 18:29:38,957 - acbm.assigning - DEBUG - Activity 138688: Initial number of options for activity = 11\n", - "2024-05-14 18:29:38,960 - acbm.assigning - DEBUG - Activity 138688: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:38,961 - acbm.assigning - DEBUG - Activity 138688: sampling based on floor area\n", - "2024-05-14 18:29:38,962 - acbm.assigning - DEBUG - Activity 138693: Initial number of options for activity = 12\n", - "2024-05-14 18:29:38,964 - acbm.assigning - DEBUG - Activity 138693: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:38,965 - acbm.assigning - DEBUG - Activity 138693: sampling based on floor area\n", - "2024-05-14 18:29:38,967 - acbm.assigning - INFO - Activity 138694: No zones available\n", - "2024-05-14 18:29:38,967 - acbm.assigning - DEBUG - Activity 138700: Initial number of options for activity = 6\n", - "2024-05-14 18:29:38,970 - acbm.assigning - DEBUG - Activity 138700: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:38,971 - acbm.assigning - DEBUG - Activity 138700: sampling based on floor area\n", - "2024-05-14 18:29:38,972 - acbm.assigning - DEBUG - Activity 138706: Initial number of options for activity = 6\n", - "2024-05-14 18:29:38,974 - acbm.assigning - DEBUG - Activity 138706: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:38,975 - acbm.assigning - DEBUG - Activity 138706: sampling based on floor area\n", - "2024-05-14 18:29:38,977 - acbm.assigning - DEBUG - Activity 138707: Initial number of options for activity = 6\n", - "2024-05-14 18:29:38,979 - acbm.assigning - DEBUG - Activity 138707: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:38,988 - acbm.assigning - DEBUG - Activity 138707: sampling based on floor area\n", - "2024-05-14 18:29:38,989 - acbm.assigning - DEBUG - Activity 138758: Initial number of options for activity = 123\n", - "2024-05-14 18:29:38,993 - acbm.assigning - DEBUG - Activity 138758: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:38,994 - acbm.assigning - DEBUG - Activity 138758: sampling based on floor area\n", - "2024-05-14 18:29:38,995 - acbm.assigning - DEBUG - Activity 138760: Initial number of options for activity = 123\n", - "2024-05-14 18:29:38,998 - acbm.assigning - DEBUG - Activity 138760: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:38,998 - acbm.assigning - DEBUG - Activity 138760: sampling based on floor area\n", - "2024-05-14 18:29:38,999 - acbm.assigning - DEBUG - Activity 138762: Initial number of options for activity = 123\n", - "2024-05-14 18:29:39,001 - acbm.assigning - DEBUG - Activity 138762: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:39,002 - acbm.assigning - DEBUG - Activity 138762: sampling based on floor area\n", - "2024-05-14 18:29:39,003 - acbm.assigning - DEBUG - Activity 138764: Initial number of options for activity = 123\n", - "2024-05-14 18:29:39,005 - acbm.assigning - DEBUG - Activity 138764: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:39,006 - acbm.assigning - DEBUG - Activity 138764: sampling based on floor area\n", - "2024-05-14 18:29:39,007 - acbm.assigning - DEBUG - Activity 138866: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,009 - acbm.assigning - DEBUG - Activity 138866: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,010 - acbm.assigning - DEBUG - Activity 138866: sampling based on floor area\n", - "2024-05-14 18:29:39,012 - acbm.assigning - DEBUG - Activity 138919: Initial number of options for activity = 12\n", - "2024-05-14 18:29:39,015 - acbm.assigning - DEBUG - Activity 138919: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:39,016 - acbm.assigning - DEBUG - Activity 138919: sampling based on floor area\n", - "2024-05-14 18:29:39,018 - acbm.assigning - DEBUG - Activity 138921: Initial number of options for activity = 12\n", - "2024-05-14 18:29:39,021 - acbm.assigning - DEBUG - Activity 138921: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:39,022 - acbm.assigning - DEBUG - Activity 138921: sampling based on floor area\n", - "2024-05-14 18:29:39,023 - acbm.assigning - DEBUG - Activity 138923: Initial number of options for activity = 12\n", - "2024-05-14 18:29:39,025 - acbm.assigning - DEBUG - Activity 138923: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:39,026 - acbm.assigning - DEBUG - Activity 138923: sampling based on floor area\n", - "2024-05-14 18:29:39,027 - acbm.assigning - DEBUG - Activity 138925: Initial number of options for activity = 11\n", - "2024-05-14 18:29:39,029 - acbm.assigning - DEBUG - Activity 138925: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:39,030 - acbm.assigning - DEBUG - Activity 138925: sampling based on floor area\n", - "2024-05-14 18:29:39,031 - acbm.assigning - DEBUG - Activity 138996: Initial number of options for activity = 8\n", - "2024-05-14 18:29:39,033 - acbm.assigning - DEBUG - Activity 138996: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:39,034 - acbm.assigning - DEBUG - Activity 138996: sampling based on floor area\n", - "2024-05-14 18:29:39,035 - acbm.assigning - DEBUG - Activity 138998: Initial number of options for activity = 8\n", - "2024-05-14 18:29:39,037 - acbm.assigning - DEBUG - Activity 138998: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:39,037 - acbm.assigning - DEBUG - Activity 138998: sampling based on floor area\n", - "2024-05-14 18:29:39,038 - acbm.assigning - DEBUG - Activity 139002: Initial number of options for activity = 8\n", - "2024-05-14 18:29:39,040 - acbm.assigning - DEBUG - Activity 139002: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:39,040 - acbm.assigning - DEBUG - Activity 139002: sampling based on floor area\n", - "2024-05-14 18:29:39,041 - acbm.assigning - DEBUG - Activity 139004: Initial number of options for activity = 8\n", - "2024-05-14 18:29:39,043 - acbm.assigning - DEBUG - Activity 139004: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:39,044 - acbm.assigning - DEBUG - Activity 139004: sampling based on floor area\n", - "2024-05-14 18:29:39,045 - acbm.assigning - DEBUG - Activity 139250: Initial number of options for activity = 95\n", - "2024-05-14 18:29:39,049 - acbm.assigning - DEBUG - Activity 139250: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:39,050 - acbm.assigning - DEBUG - Activity 139250: sampling based on floor area\n", - "2024-05-14 18:29:39,052 - acbm.assigning - DEBUG - Activity 139252: Initial number of options for activity = 95\n", - "2024-05-14 18:29:39,054 - acbm.assigning - DEBUG - Activity 139252: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:39,055 - acbm.assigning - DEBUG - Activity 139252: sampling based on floor area\n", - "2024-05-14 18:29:39,063 - acbm.assigning - DEBUG - Activity 139256: Initial number of options for activity = 95\n", - "2024-05-14 18:29:39,066 - acbm.assigning - DEBUG - Activity 139256: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:39,067 - acbm.assigning - DEBUG - Activity 139256: sampling based on floor area\n", - "2024-05-14 18:29:39,069 - acbm.assigning - DEBUG - Activity 139258: Initial number of options for activity = 95\n", - "2024-05-14 18:29:39,073 - acbm.assigning - DEBUG - Activity 139258: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:39,074 - acbm.assigning - DEBUG - Activity 139258: sampling based on floor area\n", - "2024-05-14 18:29:39,075 - acbm.assigning - DEBUG - Activity 139260: Initial number of options for activity = 95\n", - "2024-05-14 18:29:39,078 - acbm.assigning - DEBUG - Activity 139260: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:39,078 - acbm.assigning - DEBUG - Activity 139260: sampling based on floor area\n", - "2024-05-14 18:29:39,080 - acbm.assigning - DEBUG - Activity 139615: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,081 - acbm.assigning - DEBUG - Activity 139615: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,082 - acbm.assigning - DEBUG - Activity 139615: sampling based on floor area\n", - "2024-05-14 18:29:39,084 - acbm.assigning - DEBUG - Activity 139619: Initial number of options for activity = 24\n", - "2024-05-14 18:29:39,087 - acbm.assigning - DEBUG - Activity 139619: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:39,088 - acbm.assigning - DEBUG - Activity 139619: sampling based on floor area\n", - "2024-05-14 18:29:39,089 - acbm.assigning - DEBUG - Activity 139621: Initial number of options for activity = 36\n", - "2024-05-14 18:29:39,092 - acbm.assigning - DEBUG - Activity 139621: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:39,093 - acbm.assigning - DEBUG - Activity 139621: sampling based on floor area\n", - "2024-05-14 18:29:39,095 - acbm.assigning - DEBUG - Activity 139623: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,097 - acbm.assigning - DEBUG - Activity 139623: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,098 - acbm.assigning - DEBUG - Activity 139623: sampling based on floor area\n", - "2024-05-14 18:29:39,099 - acbm.assigning - DEBUG - Activity 139625: Initial number of options for activity = 6\n", - "2024-05-14 18:29:39,101 - acbm.assigning - DEBUG - Activity 139625: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:39,101 - acbm.assigning - DEBUG - Activity 139625: sampling based on floor area\n", - "2024-05-14 18:29:39,103 - acbm.assigning - DEBUG - Activity 139675: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,106 - acbm.assigning - DEBUG - Activity 139675: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,107 - acbm.assigning - DEBUG - Activity 139675: sampling based on floor area\n", - "2024-05-14 18:29:39,108 - acbm.assigning - DEBUG - Activity 139677: Initial number of options for activity = 53\n", - "2024-05-14 18:29:39,110 - acbm.assigning - DEBUG - Activity 139677: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:39,111 - acbm.assigning - DEBUG - Activity 139677: sampling based on floor area\n", - "2024-05-14 18:29:39,112 - acbm.assigning - DEBUG - Activity 139678: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,114 - acbm.assigning - DEBUG - Activity 139678: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,115 - acbm.assigning - DEBUG - Activity 139678: sampling based on floor area\n", - "2024-05-14 18:29:39,117 - acbm.assigning - DEBUG - Activity 139683: Initial number of options for activity = 178\n", - "2024-05-14 18:29:39,119 - acbm.assigning - DEBUG - Activity 139683: Number of options after filtering by education type: 178\n", - "2024-05-14 18:29:39,120 - acbm.assigning - DEBUG - Activity 139683: sampling based on floor area\n", - "2024-05-14 18:29:39,122 - acbm.assigning - DEBUG - Activity 139685: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,125 - acbm.assigning - DEBUG - Activity 139685: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,125 - acbm.assigning - DEBUG - Activity 139685: sampling based on floor area\n", - "2024-05-14 18:29:39,127 - acbm.assigning - DEBUG - Activity 139693: Initial number of options for activity = 178\n", - "2024-05-14 18:29:39,129 - acbm.assigning - DEBUG - Activity 139693: Number of options after filtering by education type: 178\n", - "2024-05-14 18:29:39,131 - acbm.assigning - DEBUG - Activity 139693: sampling based on floor area\n", - "2024-05-14 18:29:39,132 - acbm.assigning - DEBUG - Activity 139697: Initial number of options for activity = 53\n", - "2024-05-14 18:29:39,135 - acbm.assigning - DEBUG - Activity 139697: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:39,136 - acbm.assigning - DEBUG - Activity 139697: sampling based on floor area\n", - "2024-05-14 18:29:39,138 - acbm.assigning - DEBUG - Activity 139699: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,140 - acbm.assigning - DEBUG - Activity 139699: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,142 - acbm.assigning - DEBUG - Activity 139699: sampling based on floor area\n", - "2024-05-14 18:29:39,143 - acbm.assigning - DEBUG - Activity 139700: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,145 - acbm.assigning - DEBUG - Activity 139700: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,147 - acbm.assigning - DEBUG - Activity 139700: sampling based on floor area\n", - "2024-05-14 18:29:39,148 - acbm.assigning - DEBUG - Activity 139701: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,151 - acbm.assigning - DEBUG - Activity 139701: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,152 - acbm.assigning - DEBUG - Activity 139701: sampling based on floor area\n", - "2024-05-14 18:29:39,153 - acbm.assigning - DEBUG - Activity 139815: Initial number of options for activity = 29\n", - "2024-05-14 18:29:39,155 - acbm.assigning - DEBUG - Activity 139815: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:39,157 - acbm.assigning - DEBUG - Activity 139815: sampling based on floor area\n", - "2024-05-14 18:29:39,158 - acbm.assigning - DEBUG - Activity 139819: Initial number of options for activity = 29\n", - "2024-05-14 18:29:39,161 - acbm.assigning - DEBUG - Activity 139819: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:39,162 - acbm.assigning - DEBUG - Activity 139819: sampling based on floor area\n", - "2024-05-14 18:29:39,163 - acbm.assigning - DEBUG - Activity 139823: Initial number of options for activity = 10\n", - "2024-05-14 18:29:39,165 - acbm.assigning - DEBUG - Activity 139823: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:39,166 - acbm.assigning - DEBUG - Activity 139823: sampling based on floor area\n", - "2024-05-14 18:29:39,167 - acbm.assigning - DEBUG - Activity 139825: Initial number of options for activity = 7\n", - "2024-05-14 18:29:39,169 - acbm.assigning - DEBUG - Activity 139825: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:39,170 - acbm.assigning - DEBUG - Activity 139825: sampling based on floor area\n", - "2024-05-14 18:29:39,172 - acbm.assigning - DEBUG - Activity 139827: Initial number of options for activity = 29\n", - "2024-05-14 18:29:39,173 - acbm.assigning - DEBUG - Activity 139827: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:39,174 - acbm.assigning - DEBUG - Activity 139827: sampling based on floor area\n", - "2024-05-14 18:29:39,175 - acbm.assigning - INFO - Activity 139878: No zones available\n", - "2024-05-14 18:29:39,176 - acbm.assigning - INFO - Activity 140163: No zones available\n", - "2024-05-14 18:29:39,176 - acbm.assigning - DEBUG - Activity 140173: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,179 - acbm.assigning - DEBUG - Activity 140173: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,180 - acbm.assigning - DEBUG - Activity 140173: sampling based on floor area\n", - "2024-05-14 18:29:39,182 - acbm.assigning - DEBUG - Activity 140174: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,185 - acbm.assigning - DEBUG - Activity 140174: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,185 - acbm.assigning - DEBUG - Activity 140174: sampling based on floor area\n", - "2024-05-14 18:29:39,187 - acbm.assigning - DEBUG - Activity 140175: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,188 - acbm.assigning - DEBUG - Activity 140175: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,189 - acbm.assigning - DEBUG - Activity 140175: sampling based on floor area\n", - "2024-05-14 18:29:39,190 - acbm.assigning - DEBUG - Activity 140211: Initial number of options for activity = 4\n", - "2024-05-14 18:29:39,193 - acbm.assigning - DEBUG - Activity 140211: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:39,193 - acbm.assigning - DEBUG - Activity 140211: sampling based on floor area\n", - "2024-05-14 18:29:39,194 - acbm.assigning - DEBUG - Activity 140213: Initial number of options for activity = 6\n", - "2024-05-14 18:29:39,196 - acbm.assigning - DEBUG - Activity 140213: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:39,197 - acbm.assigning - DEBUG - Activity 140213: sampling based on floor area\n", - "2024-05-14 18:29:39,198 - acbm.assigning - INFO - Activity 140215: No zones available\n", - "2024-05-14 18:29:39,199 - acbm.assigning - INFO - Activity 140219: No zones available\n", - "2024-05-14 18:29:39,199 - acbm.assigning - INFO - Activity 140230: No zones available\n", - "2024-05-14 18:29:39,200 - acbm.assigning - INFO - Activity 140232: No zones available\n", - "2024-05-14 18:29:39,201 - acbm.assigning - INFO - Activity 140234: No zones available\n", - "2024-05-14 18:29:39,201 - acbm.assigning - INFO - Activity 140267: No zones available\n", - "2024-05-14 18:29:39,202 - acbm.assigning - DEBUG - Activity 140377: Initial number of options for activity = 130\n", - "2024-05-14 18:29:39,204 - acbm.assigning - DEBUG - Activity 140377: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:39,205 - acbm.assigning - DEBUG - Activity 140377: sampling based on floor area\n", - "2024-05-14 18:29:39,206 - acbm.assigning - DEBUG - Activity 140382: Initial number of options for activity = 130\n", - "2024-05-14 18:29:39,209 - acbm.assigning - DEBUG - Activity 140382: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:39,210 - acbm.assigning - DEBUG - Activity 140382: sampling based on floor area\n", - "2024-05-14 18:29:39,213 - acbm.assigning - DEBUG - Activity 140385: Initial number of options for activity = 130\n", - "2024-05-14 18:29:39,217 - acbm.assigning - DEBUG - Activity 140385: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:39,219 - acbm.assigning - DEBUG - Activity 140385: sampling based on floor area\n", - "2024-05-14 18:29:39,221 - acbm.assigning - DEBUG - Activity 140388: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,224 - acbm.assigning - DEBUG - Activity 140388: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,225 - acbm.assigning - DEBUG - Activity 140388: sampling based on floor area\n", - "2024-05-14 18:29:39,227 - acbm.assigning - DEBUG - Activity 140389: Initial number of options for activity = 5\n", - "2024-05-14 18:29:39,229 - acbm.assigning - DEBUG - Activity 140389: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:39,230 - acbm.assigning - DEBUG - Activity 140389: sampling based on floor area\n", - "2024-05-14 18:29:39,231 - acbm.assigning - DEBUG - Activity 140534: Initial number of options for activity = 6\n", - "2024-05-14 18:29:39,235 - acbm.assigning - DEBUG - Activity 140534: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:39,236 - acbm.assigning - DEBUG - Activity 140534: sampling based on floor area\n", - "2024-05-14 18:29:39,239 - acbm.assigning - DEBUG - Activity 140719: Initial number of options for activity = 125\n", - "2024-05-14 18:29:39,242 - acbm.assigning - DEBUG - Activity 140719: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:39,242 - acbm.assigning - DEBUG - Activity 140719: sampling based on floor area\n", - "2024-05-14 18:29:39,244 - acbm.assigning - DEBUG - Activity 140721: Initial number of options for activity = 125\n", - "2024-05-14 18:29:39,246 - acbm.assigning - DEBUG - Activity 140721: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:39,247 - acbm.assigning - DEBUG - Activity 140721: sampling based on floor area\n", - "2024-05-14 18:29:39,249 - acbm.assigning - DEBUG - Activity 140723: Initial number of options for activity = 125\n", - "2024-05-14 18:29:39,251 - acbm.assigning - DEBUG - Activity 140723: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:39,252 - acbm.assigning - DEBUG - Activity 140723: sampling based on floor area\n", - "2024-05-14 18:29:39,253 - acbm.assigning - DEBUG - Activity 140725: Initial number of options for activity = 125\n", - "2024-05-14 18:29:39,255 - acbm.assigning - DEBUG - Activity 140725: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:39,256 - acbm.assigning - DEBUG - Activity 140725: sampling based on floor area\n", - "2024-05-14 18:29:39,257 - acbm.assigning - DEBUG - Activity 140830: Initial number of options for activity = 129\n", - "2024-05-14 18:29:39,259 - acbm.assigning - DEBUG - Activity 140830: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:39,260 - acbm.assigning - DEBUG - Activity 140830: sampling based on floor area\n", - "2024-05-14 18:29:39,261 - acbm.assigning - DEBUG - Activity 140839: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,262 - acbm.assigning - DEBUG - Activity 140839: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,263 - acbm.assigning - DEBUG - Activity 140839: sampling based on floor area\n", - "2024-05-14 18:29:39,264 - acbm.assigning - DEBUG - Activity 140943: Initial number of options for activity = 5\n", - "2024-05-14 18:29:39,266 - acbm.assigning - DEBUG - Activity 140943: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:39,267 - acbm.assigning - DEBUG - Activity 140943: sampling based on floor area\n", - "2024-05-14 18:29:39,269 - acbm.assigning - DEBUG - Activity 140945: Initial number of options for activity = 5\n", - "2024-05-14 18:29:39,272 - acbm.assigning - DEBUG - Activity 140945: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:39,273 - acbm.assigning - DEBUG - Activity 140945: sampling based on floor area\n", - "2024-05-14 18:29:39,275 - acbm.assigning - DEBUG - Activity 140949: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,277 - acbm.assigning - DEBUG - Activity 140949: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,278 - acbm.assigning - DEBUG - Activity 140949: sampling based on floor area\n", - "2024-05-14 18:29:39,279 - acbm.assigning - DEBUG - Activity 140977: Initial number of options for activity = 38\n", - "2024-05-14 18:29:39,282 - acbm.assigning - DEBUG - Activity 140977: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:39,283 - acbm.assigning - DEBUG - Activity 140977: sampling based on floor area\n", - "2024-05-14 18:29:39,284 - acbm.assigning - DEBUG - Activity 140978: Initial number of options for activity = 38\n", - "2024-05-14 18:29:39,286 - acbm.assigning - DEBUG - Activity 140978: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:39,295 - acbm.assigning - DEBUG - Activity 140978: sampling based on floor area\n", - "2024-05-14 18:29:39,297 - acbm.assigning - DEBUG - Activity 140980: Initial number of options for activity = 29\n", - "2024-05-14 18:29:39,300 - acbm.assigning - DEBUG - Activity 140980: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:39,301 - acbm.assigning - DEBUG - Activity 140980: sampling based on floor area\n", - "2024-05-14 18:29:39,302 - acbm.assigning - DEBUG - Activity 140984: Initial number of options for activity = 38\n", - "2024-05-14 18:29:39,305 - acbm.assigning - DEBUG - Activity 140984: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:39,308 - acbm.assigning - DEBUG - Activity 140984: sampling based on floor area\n", - "2024-05-14 18:29:39,309 - acbm.assigning - DEBUG - Activity 140986: Initial number of options for activity = 38\n", - "2024-05-14 18:29:39,312 - acbm.assigning - DEBUG - Activity 140986: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:39,313 - acbm.assigning - DEBUG - Activity 140986: sampling based on floor area\n", - "2024-05-14 18:29:39,314 - acbm.assigning - DEBUG - Activity 140987: Initial number of options for activity = 38\n", - "2024-05-14 18:29:39,317 - acbm.assigning - DEBUG - Activity 140987: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:39,317 - acbm.assigning - DEBUG - Activity 140987: sampling based on floor area\n", - "2024-05-14 18:29:39,319 - acbm.assigning - DEBUG - Activity 141163: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,321 - acbm.assigning - DEBUG - Activity 141163: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,322 - acbm.assigning - DEBUG - Activity 141163: sampling based on floor area\n", - "2024-05-14 18:29:39,323 - acbm.assigning - DEBUG - Activity 141165: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,325 - acbm.assigning - DEBUG - Activity 141165: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,326 - acbm.assigning - DEBUG - Activity 141165: sampling based on floor area\n", - "2024-05-14 18:29:39,327 - acbm.assigning - DEBUG - Activity 141167: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,329 - acbm.assigning - DEBUG - Activity 141167: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,330 - acbm.assigning - DEBUG - Activity 141167: sampling based on floor area\n", - "2024-05-14 18:29:39,332 - acbm.assigning - DEBUG - Activity 141169: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,334 - acbm.assigning - DEBUG - Activity 141169: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,335 - acbm.assigning - DEBUG - Activity 141169: sampling based on floor area\n", - "2024-05-14 18:29:39,337 - acbm.assigning - INFO - Activity 141436: No zones available\n", - "2024-05-14 18:29:39,338 - acbm.assigning - DEBUG - Activity 141437: Initial number of options for activity = 26\n", - "2024-05-14 18:29:39,339 - acbm.assigning - DEBUG - Activity 141437: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:39,340 - acbm.assigning - DEBUG - Activity 141437: sampling based on floor area\n", - "2024-05-14 18:29:39,341 - acbm.assigning - DEBUG - Activity 141532: Initial number of options for activity = 13\n", - "2024-05-14 18:29:39,343 - acbm.assigning - DEBUG - Activity 141532: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:39,343 - acbm.assigning - DEBUG - Activity 141532: sampling based on floor area\n", - "2024-05-14 18:29:39,344 - acbm.assigning - DEBUG - Activity 141534: Initial number of options for activity = 13\n", - "2024-05-14 18:29:39,346 - acbm.assigning - DEBUG - Activity 141534: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:39,347 - acbm.assigning - DEBUG - Activity 141534: sampling based on floor area\n", - "2024-05-14 18:29:39,349 - acbm.assigning - DEBUG - Activity 141538: Initial number of options for activity = 13\n", - "2024-05-14 18:29:39,351 - acbm.assigning - DEBUG - Activity 141538: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:39,352 - acbm.assigning - DEBUG - Activity 141538: sampling based on floor area\n", - "2024-05-14 18:29:39,353 - acbm.assigning - DEBUG - Activity 141540: Initial number of options for activity = 13\n", - "2024-05-14 18:29:39,355 - acbm.assigning - DEBUG - Activity 141540: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:39,355 - acbm.assigning - DEBUG - Activity 141540: sampling based on floor area\n", - "2024-05-14 18:29:39,356 - acbm.assigning - DEBUG - Activity 141677: Initial number of options for activity = 56\n", - "2024-05-14 18:29:39,358 - acbm.assigning - DEBUG - Activity 141677: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:39,359 - acbm.assigning - DEBUG - Activity 141677: sampling based on floor area\n", - "2024-05-14 18:29:39,360 - acbm.assigning - DEBUG - Activity 141679: Initial number of options for activity = 56\n", - "2024-05-14 18:29:39,363 - acbm.assigning - DEBUG - Activity 141679: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:39,365 - acbm.assigning - DEBUG - Activity 141679: sampling based on floor area\n", - "2024-05-14 18:29:39,366 - acbm.assigning - DEBUG - Activity 141681: Initial number of options for activity = 56\n", - "2024-05-14 18:29:39,368 - acbm.assigning - DEBUG - Activity 141681: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:39,369 - acbm.assigning - DEBUG - Activity 141681: sampling based on floor area\n", - "2024-05-14 18:29:39,370 - acbm.assigning - DEBUG - Activity 141683: Initial number of options for activity = 56\n", - "2024-05-14 18:29:39,373 - acbm.assigning - DEBUG - Activity 141683: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:39,374 - acbm.assigning - DEBUG - Activity 141683: sampling based on floor area\n", - "2024-05-14 18:29:39,375 - acbm.assigning - DEBUG - Activity 141760: Initial number of options for activity = 173\n", - "2024-05-14 18:29:39,376 - acbm.assigning - DEBUG - Activity 141760: Number of options after filtering by education type: 173\n", - "2024-05-14 18:29:39,377 - acbm.assigning - DEBUG - Activity 141760: sampling based on floor area\n", - "2024-05-14 18:29:39,378 - acbm.assigning - DEBUG - Activity 141761: Initial number of options for activity = 102\n", - "2024-05-14 18:29:39,380 - acbm.assigning - DEBUG - Activity 141761: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:39,380 - acbm.assigning - DEBUG - Activity 141761: sampling based on floor area\n", - "2024-05-14 18:29:39,381 - acbm.assigning - DEBUG - Activity 141762: Initial number of options for activity = 173\n", - "2024-05-14 18:29:39,383 - acbm.assigning - DEBUG - Activity 141762: Number of options after filtering by education type: 173\n", - "2024-05-14 18:29:39,384 - acbm.assigning - DEBUG - Activity 141762: sampling based on floor area\n", - "2024-05-14 18:29:39,386 - acbm.assigning - DEBUG - Activity 141764: Initial number of options for activity = 88\n", - "2024-05-14 18:29:39,388 - acbm.assigning - DEBUG - Activity 141764: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:39,389 - acbm.assigning - DEBUG - Activity 141764: sampling based on floor area\n", - "2024-05-14 18:29:39,390 - acbm.assigning - DEBUG - Activity 141767: Initial number of options for activity = 107\n", - "2024-05-14 18:29:39,393 - acbm.assigning - DEBUG - Activity 141767: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:39,398 - acbm.assigning - DEBUG - Activity 141767: sampling based on floor area\n", - "2024-05-14 18:29:39,399 - acbm.assigning - INFO - Activity 141787: No zones available\n", - "2024-05-14 18:29:39,403 - acbm.assigning - INFO - Activity 141794: No zones available\n", - "2024-05-14 18:29:39,404 - acbm.assigning - DEBUG - Activity 141799: Initial number of options for activity = 48\n", - "2024-05-14 18:29:39,407 - acbm.assigning - DEBUG - Activity 141799: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:39,408 - acbm.assigning - DEBUG - Activity 141799: sampling based on floor area\n", - "2024-05-14 18:29:39,410 - acbm.assigning - DEBUG - Activity 141801: Initial number of options for activity = 48\n", - "2024-05-14 18:29:39,413 - acbm.assigning - DEBUG - Activity 141801: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:39,414 - acbm.assigning - DEBUG - Activity 141801: sampling based on floor area\n", - "2024-05-14 18:29:39,416 - acbm.assigning - DEBUG - Activity 141805: Initial number of options for activity = 48\n", - "2024-05-14 18:29:39,418 - acbm.assigning - DEBUG - Activity 141805: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:39,419 - acbm.assigning - DEBUG - Activity 141805: sampling based on floor area\n", - "2024-05-14 18:29:39,420 - acbm.assigning - DEBUG - Activity 141807: Initial number of options for activity = 48\n", - "2024-05-14 18:29:39,423 - acbm.assigning - DEBUG - Activity 141807: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:39,423 - acbm.assigning - DEBUG - Activity 141807: sampling based on floor area\n", - "2024-05-14 18:29:39,425 - acbm.assigning - INFO - Activity 141811: No zones available\n", - "2024-05-14 18:29:39,425 - acbm.assigning - DEBUG - Activity 141864: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,427 - acbm.assigning - DEBUG - Activity 141864: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,427 - acbm.assigning - DEBUG - Activity 141864: sampling based on floor area\n", - "2024-05-14 18:29:39,428 - acbm.assigning - INFO - Activity 141884: No zones available\n", - "2024-05-14 18:29:39,429 - acbm.assigning - INFO - Activity 142015: No zones available\n", - "2024-05-14 18:29:39,429 - acbm.assigning - DEBUG - Activity 142016: Initial number of options for activity = 38\n", - "2024-05-14 18:29:39,432 - acbm.assigning - DEBUG - Activity 142016: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:39,433 - acbm.assigning - DEBUG - Activity 142016: sampling based on floor area\n", - "2024-05-14 18:29:39,435 - acbm.assigning - INFO - Activity 142062: No zones available\n", - "2024-05-14 18:29:39,436 - acbm.assigning - INFO - Activity 142064: No zones available\n", - "2024-05-14 18:29:39,436 - acbm.assigning - INFO - Activity 142066: No zones available\n", - "2024-05-14 18:29:39,437 - acbm.assigning - DEBUG - Activity 142117: Initial number of options for activity = 40\n", - "2024-05-14 18:29:39,439 - acbm.assigning - DEBUG - Activity 142117: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:39,440 - acbm.assigning - DEBUG - Activity 142117: sampling based on floor area\n", - "2024-05-14 18:29:39,442 - acbm.assigning - DEBUG - Activity 142119: Initial number of options for activity = 40\n", - "2024-05-14 18:29:39,444 - acbm.assigning - DEBUG - Activity 142119: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:39,445 - acbm.assigning - DEBUG - Activity 142119: sampling based on floor area\n", - "2024-05-14 18:29:39,446 - acbm.assigning - DEBUG - Activity 142121: Initial number of options for activity = 40\n", - "2024-05-14 18:29:39,449 - acbm.assigning - DEBUG - Activity 142121: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:39,450 - acbm.assigning - DEBUG - Activity 142121: sampling based on floor area\n", - "2024-05-14 18:29:39,451 - acbm.assigning - DEBUG - Activity 142123: Initial number of options for activity = 40\n", - "2024-05-14 18:29:39,454 - acbm.assigning - DEBUG - Activity 142123: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:39,455 - acbm.assigning - DEBUG - Activity 142123: sampling based on floor area\n", - "2024-05-14 18:29:39,456 - acbm.assigning - DEBUG - Activity 142125: Initial number of options for activity = 40\n", - "2024-05-14 18:29:39,458 - acbm.assigning - DEBUG - Activity 142125: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:39,458 - acbm.assigning - DEBUG - Activity 142125: sampling based on floor area\n", - "2024-05-14 18:29:39,459 - acbm.assigning - DEBUG - Activity 142149: Initial number of options for activity = 10\n", - "2024-05-14 18:29:39,461 - acbm.assigning - DEBUG - Activity 142149: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:39,462 - acbm.assigning - DEBUG - Activity 142149: sampling based on floor area\n", - "2024-05-14 18:29:39,464 - acbm.assigning - DEBUG - Activity 142151: Initial number of options for activity = 10\n", - "2024-05-14 18:29:39,467 - acbm.assigning - DEBUG - Activity 142151: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:39,468 - acbm.assigning - DEBUG - Activity 142151: sampling based on floor area\n", - "2024-05-14 18:29:39,469 - acbm.assigning - DEBUG - Activity 142154: Initial number of options for activity = 10\n", - "2024-05-14 18:29:39,472 - acbm.assigning - DEBUG - Activity 142154: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:39,473 - acbm.assigning - DEBUG - Activity 142154: sampling based on floor area\n", - "2024-05-14 18:29:39,474 - acbm.assigning - DEBUG - Activity 142158: Initial number of options for activity = 10\n", - "2024-05-14 18:29:39,477 - acbm.assigning - DEBUG - Activity 142158: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:39,478 - acbm.assigning - DEBUG - Activity 142158: sampling based on floor area\n", - "2024-05-14 18:29:39,479 - acbm.assigning - DEBUG - Activity 142249: Initial number of options for activity = 19\n", - "2024-05-14 18:29:39,481 - acbm.assigning - DEBUG - Activity 142249: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:39,482 - acbm.assigning - DEBUG - Activity 142249: sampling based on floor area\n", - "2024-05-14 18:29:39,483 - acbm.assigning - DEBUG - Activity 142252: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,485 - acbm.assigning - DEBUG - Activity 142252: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,486 - acbm.assigning - DEBUG - Activity 142252: sampling based on floor area\n", - "2024-05-14 18:29:39,487 - acbm.assigning - DEBUG - Activity 142253: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,489 - acbm.assigning - DEBUG - Activity 142253: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,490 - acbm.assigning - DEBUG - Activity 142253: sampling based on floor area\n", - "2024-05-14 18:29:39,491 - acbm.assigning - DEBUG - Activity 142255: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,493 - acbm.assigning - DEBUG - Activity 142255: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,494 - acbm.assigning - DEBUG - Activity 142255: sampling based on floor area\n", - "2024-05-14 18:29:39,496 - acbm.assigning - DEBUG - Activity 142258: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,498 - acbm.assigning - DEBUG - Activity 142258: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,498 - acbm.assigning - DEBUG - Activity 142258: sampling based on floor area\n", - "2024-05-14 18:29:39,499 - acbm.assigning - DEBUG - Activity 142360: Initial number of options for activity = 58\n", - "2024-05-14 18:29:39,503 - acbm.assigning - DEBUG - Activity 142360: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:39,511 - acbm.assigning - DEBUG - Activity 142360: sampling based on floor area\n", - "2024-05-14 18:29:39,513 - acbm.assigning - DEBUG - Activity 142362: Initial number of options for activity = 58\n", - "2024-05-14 18:29:39,516 - acbm.assigning - DEBUG - Activity 142362: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:39,517 - acbm.assigning - DEBUG - Activity 142362: sampling based on floor area\n", - "2024-05-14 18:29:39,519 - acbm.assigning - DEBUG - Activity 142364: Initial number of options for activity = 58\n", - "2024-05-14 18:29:39,521 - acbm.assigning - DEBUG - Activity 142364: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:39,522 - acbm.assigning - DEBUG - Activity 142364: sampling based on floor area\n", - "2024-05-14 18:29:39,523 - acbm.assigning - DEBUG - Activity 142366: Initial number of options for activity = 58\n", - "2024-05-14 18:29:39,525 - acbm.assigning - DEBUG - Activity 142366: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:39,526 - acbm.assigning - DEBUG - Activity 142366: sampling based on floor area\n", - "2024-05-14 18:29:39,528 - acbm.assigning - DEBUG - Activity 142368: Initial number of options for activity = 58\n", - "2024-05-14 18:29:39,531 - acbm.assigning - DEBUG - Activity 142368: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:39,532 - acbm.assigning - DEBUG - Activity 142368: sampling based on floor area\n", - "2024-05-14 18:29:39,534 - acbm.assigning - DEBUG - Activity 142517: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,536 - acbm.assigning - DEBUG - Activity 142517: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,537 - acbm.assigning - DEBUG - Activity 142517: sampling based on floor area\n", - "2024-05-14 18:29:39,539 - acbm.assigning - DEBUG - Activity 142519: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,541 - acbm.assigning - DEBUG - Activity 142519: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,542 - acbm.assigning - DEBUG - Activity 142519: sampling based on floor area\n", - "2024-05-14 18:29:39,542 - acbm.assigning - DEBUG - Activity 142523: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,544 - acbm.assigning - DEBUG - Activity 142523: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,545 - acbm.assigning - DEBUG - Activity 142523: sampling based on floor area\n", - "2024-05-14 18:29:39,546 - acbm.assigning - DEBUG - Activity 142525: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,550 - acbm.assigning - DEBUG - Activity 142525: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,551 - acbm.assigning - DEBUG - Activity 142525: sampling based on floor area\n", - "2024-05-14 18:29:39,553 - acbm.assigning - DEBUG - Activity 142527: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,555 - acbm.assigning - DEBUG - Activity 142527: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,556 - acbm.assigning - DEBUG - Activity 142527: sampling based on floor area\n", - "2024-05-14 18:29:39,558 - acbm.assigning - DEBUG - Activity 142578: Initial number of options for activity = 85\n", - "2024-05-14 18:29:39,561 - acbm.assigning - DEBUG - Activity 142578: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:39,563 - acbm.assigning - DEBUG - Activity 142578: sampling based on floor area\n", - "2024-05-14 18:29:39,565 - acbm.assigning - DEBUG - Activity 142580: Initial number of options for activity = 85\n", - "2024-05-14 18:29:39,568 - acbm.assigning - DEBUG - Activity 142580: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:39,570 - acbm.assigning - DEBUG - Activity 142580: sampling based on floor area\n", - "2024-05-14 18:29:39,571 - acbm.assigning - DEBUG - Activity 142582: Initial number of options for activity = 85\n", - "2024-05-14 18:29:39,583 - acbm.assigning - DEBUG - Activity 142582: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:39,584 - acbm.assigning - DEBUG - Activity 142582: sampling based on floor area\n", - "2024-05-14 18:29:39,586 - acbm.assigning - DEBUG - Activity 142584: Initial number of options for activity = 85\n", - "2024-05-14 18:29:39,589 - acbm.assigning - DEBUG - Activity 142584: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:39,590 - acbm.assigning - DEBUG - Activity 142584: sampling based on floor area\n", - "2024-05-14 18:29:39,592 - acbm.assigning - DEBUG - Activity 142586: Initial number of options for activity = 85\n", - "2024-05-14 18:29:39,597 - acbm.assigning - DEBUG - Activity 142586: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:39,599 - acbm.assigning - DEBUG - Activity 142586: sampling based on floor area\n", - "2024-05-14 18:29:39,601 - acbm.assigning - DEBUG - Activity 142615: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,603 - acbm.assigning - DEBUG - Activity 142615: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,604 - acbm.assigning - DEBUG - Activity 142615: sampling based on floor area\n", - "2024-05-14 18:29:39,605 - acbm.assigning - DEBUG - Activity 142618: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,607 - acbm.assigning - DEBUG - Activity 142618: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,608 - acbm.assigning - DEBUG - Activity 142618: sampling based on floor area\n", - "2024-05-14 18:29:39,609 - acbm.assigning - DEBUG - Activity 142764: Initial number of options for activity = 123\n", - "2024-05-14 18:29:39,612 - acbm.assigning - DEBUG - Activity 142764: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:39,613 - acbm.assigning - DEBUG - Activity 142764: sampling based on floor area\n", - "2024-05-14 18:29:39,614 - acbm.assigning - DEBUG - Activity 142766: Initial number of options for activity = 123\n", - "2024-05-14 18:29:39,617 - acbm.assigning - DEBUG - Activity 142766: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:39,618 - acbm.assigning - DEBUG - Activity 142766: sampling based on floor area\n", - "2024-05-14 18:29:39,620 - acbm.assigning - DEBUG - Activity 142768: Initial number of options for activity = 123\n", - "2024-05-14 18:29:39,622 - acbm.assigning - DEBUG - Activity 142768: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:39,623 - acbm.assigning - DEBUG - Activity 142768: sampling based on floor area\n", - "2024-05-14 18:29:39,625 - acbm.assigning - DEBUG - Activity 142770: Initial number of options for activity = 123\n", - "2024-05-14 18:29:39,627 - acbm.assigning - DEBUG - Activity 142770: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:39,628 - acbm.assigning - DEBUG - Activity 142770: sampling based on floor area\n", - "2024-05-14 18:29:39,630 - acbm.assigning - DEBUG - Activity 142818: Initial number of options for activity = 42\n", - "2024-05-14 18:29:39,632 - acbm.assigning - DEBUG - Activity 142818: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:39,633 - acbm.assigning - DEBUG - Activity 142818: sampling based on floor area\n", - "2024-05-14 18:29:39,635 - acbm.assigning - DEBUG - Activity 142820: Initial number of options for activity = 42\n", - "2024-05-14 18:29:39,637 - acbm.assigning - DEBUG - Activity 142820: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:39,639 - acbm.assigning - DEBUG - Activity 142820: sampling based on floor area\n", - "2024-05-14 18:29:39,640 - acbm.assigning - DEBUG - Activity 142822: Initial number of options for activity = 42\n", - "2024-05-14 18:29:39,643 - acbm.assigning - DEBUG - Activity 142822: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:39,654 - acbm.assigning - DEBUG - Activity 142822: sampling based on floor area\n", - "2024-05-14 18:29:39,656 - acbm.assigning - DEBUG - Activity 142826: Initial number of options for activity = 42\n", - "2024-05-14 18:29:39,659 - acbm.assigning - DEBUG - Activity 142826: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:39,660 - acbm.assigning - DEBUG - Activity 142826: sampling based on floor area\n", - "2024-05-14 18:29:39,662 - acbm.assigning - DEBUG - Activity 142917: Initial number of options for activity = 21\n", - "2024-05-14 18:29:39,664 - acbm.assigning - DEBUG - Activity 142917: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:39,668 - acbm.assigning - DEBUG - Activity 142917: sampling based on floor area\n", - "2024-05-14 18:29:39,670 - acbm.assigning - DEBUG - Activity 142918: Initial number of options for activity = 21\n", - "2024-05-14 18:29:39,672 - acbm.assigning - DEBUG - Activity 142918: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:39,673 - acbm.assigning - DEBUG - Activity 142918: sampling based on floor area\n", - "2024-05-14 18:29:39,674 - acbm.assigning - DEBUG - Activity 142922: Initial number of options for activity = 5\n", - "2024-05-14 18:29:39,676 - acbm.assigning - DEBUG - Activity 142922: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:39,676 - acbm.assigning - DEBUG - Activity 142922: sampling based on floor area\n", - "2024-05-14 18:29:39,678 - acbm.assigning - DEBUG - Activity 142924: Initial number of options for activity = 5\n", - "2024-05-14 18:29:39,681 - acbm.assigning - DEBUG - Activity 142924: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:39,682 - acbm.assigning - DEBUG - Activity 142924: sampling based on floor area\n", - "2024-05-14 18:29:39,684 - acbm.assigning - DEBUG - Activity 142930: Initial number of options for activity = 21\n", - "2024-05-14 18:29:39,686 - acbm.assigning - DEBUG - Activity 142930: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:39,687 - acbm.assigning - DEBUG - Activity 142930: sampling based on floor area\n", - "2024-05-14 18:29:39,689 - acbm.assigning - DEBUG - Activity 142980: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,691 - acbm.assigning - DEBUG - Activity 142980: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,692 - acbm.assigning - DEBUG - Activity 142980: sampling based on floor area\n", - "2024-05-14 18:29:39,693 - acbm.assigning - DEBUG - Activity 142982: Initial number of options for activity = 118\n", - "2024-05-14 18:29:39,695 - acbm.assigning - DEBUG - Activity 142982: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:39,696 - acbm.assigning - DEBUG - Activity 142982: sampling based on floor area\n", - "2024-05-14 18:29:39,697 - acbm.assigning - DEBUG - Activity 142983: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,699 - acbm.assigning - DEBUG - Activity 142983: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,701 - acbm.assigning - DEBUG - Activity 142983: sampling based on floor area\n", - "2024-05-14 18:29:39,702 - acbm.assigning - DEBUG - Activity 142988: Initial number of options for activity = 102\n", - "2024-05-14 18:29:39,704 - acbm.assigning - DEBUG - Activity 142988: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:39,705 - acbm.assigning - DEBUG - Activity 142988: sampling based on floor area\n", - "2024-05-14 18:29:39,707 - acbm.assigning - DEBUG - Activity 142990: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,710 - acbm.assigning - DEBUG - Activity 142990: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,711 - acbm.assigning - DEBUG - Activity 142990: sampling based on floor area\n", - "2024-05-14 18:29:39,716 - acbm.assigning - DEBUG - Activity 142998: Initial number of options for activity = 102\n", - "2024-05-14 18:29:39,720 - acbm.assigning - DEBUG - Activity 142998: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:39,720 - acbm.assigning - DEBUG - Activity 142998: sampling based on floor area\n", - "2024-05-14 18:29:39,722 - acbm.assigning - DEBUG - Activity 143002: Initial number of options for activity = 118\n", - "2024-05-14 18:29:39,725 - acbm.assigning - DEBUG - Activity 143002: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:39,727 - acbm.assigning - DEBUG - Activity 143002: sampling based on floor area\n", - "2024-05-14 18:29:39,729 - acbm.assigning - DEBUG - Activity 143004: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,731 - acbm.assigning - DEBUG - Activity 143004: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,732 - acbm.assigning - DEBUG - Activity 143004: sampling based on floor area\n", - "2024-05-14 18:29:39,733 - acbm.assigning - DEBUG - Activity 143005: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,736 - acbm.assigning - DEBUG - Activity 143005: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,739 - acbm.assigning - DEBUG - Activity 143005: sampling based on floor area\n", - "2024-05-14 18:29:39,741 - acbm.assigning - DEBUG - Activity 143006: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,744 - acbm.assigning - DEBUG - Activity 143006: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,745 - acbm.assigning - DEBUG - Activity 143006: sampling based on floor area\n", - "2024-05-14 18:29:39,747 - acbm.assigning - DEBUG - Activity 143070: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,749 - acbm.assigning - DEBUG - Activity 143070: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,750 - acbm.assigning - DEBUG - Activity 143070: sampling based on floor area\n", - "2024-05-14 18:29:39,751 - acbm.assigning - DEBUG - Activity 143072: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,753 - acbm.assigning - DEBUG - Activity 143072: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,754 - acbm.assigning - DEBUG - Activity 143072: sampling based on floor area\n", - "2024-05-14 18:29:39,755 - acbm.assigning - DEBUG - Activity 143146: Initial number of options for activity = 17\n", - "2024-05-14 18:29:39,758 - acbm.assigning - DEBUG - Activity 143146: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:39,759 - acbm.assigning - DEBUG - Activity 143146: sampling based on floor area\n", - "2024-05-14 18:29:39,760 - acbm.assigning - DEBUG - Activity 143150: Initial number of options for activity = 13\n", - "2024-05-14 18:29:39,762 - acbm.assigning - DEBUG - Activity 143150: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:39,763 - acbm.assigning - DEBUG - Activity 143150: sampling based on floor area\n", - "2024-05-14 18:29:39,764 - acbm.assigning - DEBUG - Activity 143151: Initial number of options for activity = 13\n", - "2024-05-14 18:29:39,766 - acbm.assigning - DEBUG - Activity 143151: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:39,767 - acbm.assigning - DEBUG - Activity 143151: sampling based on floor area\n", - "2024-05-14 18:29:39,768 - acbm.assigning - DEBUG - Activity 143152: Initial number of options for activity = 17\n", - "2024-05-14 18:29:39,770 - acbm.assigning - DEBUG - Activity 143152: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:39,770 - acbm.assigning - DEBUG - Activity 143152: sampling based on floor area\n", - "2024-05-14 18:29:39,771 - acbm.assigning - DEBUG - Activity 143153: Initial number of options for activity = 17\n", - "2024-05-14 18:29:39,773 - acbm.assigning - DEBUG - Activity 143153: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:39,774 - acbm.assigning - DEBUG - Activity 143153: sampling based on floor area\n", - "2024-05-14 18:29:39,775 - acbm.assigning - DEBUG - Activity 143286: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,777 - acbm.assigning - DEBUG - Activity 143286: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,778 - acbm.assigning - DEBUG - Activity 143286: sampling based on floor area\n", - "2024-05-14 18:29:39,780 - acbm.assigning - DEBUG - Activity 143369: Initial number of options for activity = 136\n", - "2024-05-14 18:29:39,782 - acbm.assigning - DEBUG - Activity 143369: Number of options after filtering by education type: 136\n", - "2024-05-14 18:29:39,784 - acbm.assigning - DEBUG - Activity 143369: sampling based on floor area\n", - "2024-05-14 18:29:39,785 - acbm.assigning - DEBUG - Activity 143370: Initial number of options for activity = 102\n", - "2024-05-14 18:29:39,787 - acbm.assigning - DEBUG - Activity 143370: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:39,787 - acbm.assigning - DEBUG - Activity 143370: sampling based on floor area\n", - "2024-05-14 18:29:39,788 - acbm.assigning - DEBUG - Activity 143373: Initial number of options for activity = 102\n", - "2024-05-14 18:29:39,790 - acbm.assigning - DEBUG - Activity 143373: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:39,790 - acbm.assigning - DEBUG - Activity 143373: sampling based on floor area\n", - "2024-05-14 18:29:39,791 - acbm.assigning - DEBUG - Activity 143376: Initial number of options for activity = 136\n", - "2024-05-14 18:29:39,793 - acbm.assigning - DEBUG - Activity 143376: Number of options after filtering by education type: 136\n", - "2024-05-14 18:29:39,793 - acbm.assigning - DEBUG - Activity 143376: sampling based on floor area\n", - "2024-05-14 18:29:39,794 - acbm.assigning - DEBUG - Activity 143380: Initial number of options for activity = 102\n", - "2024-05-14 18:29:39,796 - acbm.assigning - DEBUG - Activity 143380: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:39,796 - acbm.assigning - DEBUG - Activity 143380: sampling based on floor area\n", - "2024-05-14 18:29:39,798 - acbm.assigning - DEBUG - Activity 143385: Initial number of options for activity = 3\n", - "2024-05-14 18:29:39,800 - acbm.assigning - DEBUG - Activity 143385: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:39,802 - acbm.assigning - DEBUG - Activity 143385: sampling based on floor area\n", - "2024-05-14 18:29:39,803 - acbm.assigning - DEBUG - Activity 143386: Initial number of options for activity = 3\n", - "2024-05-14 18:29:39,806 - acbm.assigning - DEBUG - Activity 143386: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:39,807 - acbm.assigning - DEBUG - Activity 143386: sampling based on floor area\n", - "2024-05-14 18:29:39,808 - acbm.assigning - DEBUG - Activity 143453: Initial number of options for activity = 46\n", - "2024-05-14 18:29:39,811 - acbm.assigning - DEBUG - Activity 143453: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:39,811 - acbm.assigning - DEBUG - Activity 143453: sampling based on floor area\n", - "2024-05-14 18:29:39,813 - acbm.assigning - DEBUG - Activity 143455: Initial number of options for activity = 46\n", - "2024-05-14 18:29:39,815 - acbm.assigning - DEBUG - Activity 143455: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:39,816 - acbm.assigning - DEBUG - Activity 143455: sampling based on floor area\n", - "2024-05-14 18:29:39,817 - acbm.assigning - DEBUG - Activity 143457: Initial number of options for activity = 46\n", - "2024-05-14 18:29:39,819 - acbm.assigning - DEBUG - Activity 143457: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:39,820 - acbm.assigning - DEBUG - Activity 143457: sampling based on floor area\n", - "2024-05-14 18:29:39,821 - acbm.assigning - DEBUG - Activity 143459: Initial number of options for activity = 46\n", - "2024-05-14 18:29:39,823 - acbm.assigning - DEBUG - Activity 143459: Number of options after filtering by education type: 46\n", - "2024-05-14 18:29:39,823 - acbm.assigning - DEBUG - Activity 143459: sampling based on floor area\n", - "2024-05-14 18:29:39,824 - acbm.assigning - DEBUG - Activity 143531: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,825 - acbm.assigning - DEBUG - Activity 143531: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,826 - acbm.assigning - DEBUG - Activity 143531: sampling based on floor area\n", - "2024-05-14 18:29:39,827 - acbm.assigning - DEBUG - Activity 143539: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,829 - acbm.assigning - DEBUG - Activity 143539: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,830 - acbm.assigning - DEBUG - Activity 143539: sampling based on floor area\n", - "2024-05-14 18:29:39,831 - acbm.assigning - DEBUG - Activity 143541: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,833 - acbm.assigning - DEBUG - Activity 143541: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,834 - acbm.assigning - DEBUG - Activity 143541: sampling based on floor area\n", - "2024-05-14 18:29:39,835 - acbm.assigning - DEBUG - Activity 143543: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,846 - acbm.assigning - DEBUG - Activity 143543: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,848 - acbm.assigning - DEBUG - Activity 143543: sampling based on floor area\n", - "2024-05-14 18:29:39,849 - acbm.assigning - DEBUG - Activity 143547: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,852 - acbm.assigning - DEBUG - Activity 143547: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,854 - acbm.assigning - DEBUG - Activity 143547: sampling based on floor area\n", - "2024-05-14 18:29:39,859 - acbm.assigning - DEBUG - Activity 143569: Initial number of options for activity = 1\n", - "2024-05-14 18:29:39,862 - acbm.assigning - DEBUG - Activity 143569: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:39,863 - acbm.assigning - DEBUG - Activity 143569: sampling based on floor area\n", - "2024-05-14 18:29:39,864 - acbm.assigning - INFO - Activity 143591: No zones available\n", - "2024-05-14 18:29:39,864 - acbm.assigning - INFO - Activity 143637: No zones available\n", - "2024-05-14 18:29:39,866 - acbm.assigning - INFO - Activity 143650: No zones available\n", - "2024-05-14 18:29:39,866 - acbm.assigning - INFO - Activity 143654: No zones available\n", - "2024-05-14 18:29:39,867 - acbm.assigning - DEBUG - Activity 143697: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,869 - acbm.assigning - DEBUG - Activity 143697: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,870 - acbm.assigning - DEBUG - Activity 143697: sampling based on floor area\n", - "2024-05-14 18:29:39,871 - acbm.assigning - DEBUG - Activity 143699: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,873 - acbm.assigning - DEBUG - Activity 143699: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,874 - acbm.assigning - DEBUG - Activity 143699: sampling based on floor area\n", - "2024-05-14 18:29:39,875 - acbm.assigning - DEBUG - Activity 143701: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,878 - acbm.assigning - DEBUG - Activity 143701: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,878 - acbm.assigning - DEBUG - Activity 143701: sampling based on floor area\n", - "2024-05-14 18:29:39,880 - acbm.assigning - DEBUG - Activity 143703: Initial number of options for activity = 140\n", - "2024-05-14 18:29:39,882 - acbm.assigning - DEBUG - Activity 143703: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:39,883 - acbm.assigning - DEBUG - Activity 143703: sampling based on floor area\n", - "2024-05-14 18:29:39,885 - acbm.assigning - DEBUG - Activity 143776: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,887 - acbm.assigning - DEBUG - Activity 143776: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,887 - acbm.assigning - DEBUG - Activity 143776: sampling based on floor area\n", - "2024-05-14 18:29:39,889 - acbm.assigning - DEBUG - Activity 143777: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,892 - acbm.assigning - DEBUG - Activity 143777: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,893 - acbm.assigning - DEBUG - Activity 143777: sampling based on floor area\n", - "2024-05-14 18:29:39,894 - acbm.assigning - DEBUG - Activity 143779: Initial number of options for activity = 84\n", - "2024-05-14 18:29:39,897 - acbm.assigning - DEBUG - Activity 143779: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:39,898 - acbm.assigning - DEBUG - Activity 143779: sampling based on floor area\n", - "2024-05-14 18:29:39,900 - acbm.assigning - DEBUG - Activity 143783: Initial number of options for activity = 111\n", - "2024-05-14 18:29:39,902 - acbm.assigning - DEBUG - Activity 143783: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:39,903 - acbm.assigning - DEBUG - Activity 143783: sampling based on floor area\n", - "2024-05-14 18:29:39,904 - acbm.assigning - DEBUG - Activity 143785: Initial number of options for activity = 49\n", - "2024-05-14 18:29:39,906 - acbm.assigning - DEBUG - Activity 143785: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:39,906 - acbm.assigning - DEBUG - Activity 143785: sampling based on floor area\n", - "2024-05-14 18:29:39,908 - acbm.assigning - DEBUG - Activity 143786: Initial number of options for activity = 49\n", - "2024-05-14 18:29:39,911 - acbm.assigning - DEBUG - Activity 143786: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:39,911 - acbm.assigning - DEBUG - Activity 143786: sampling based on floor area\n", - "2024-05-14 18:29:39,913 - acbm.assigning - DEBUG - Activity 143829: Initial number of options for activity = 138\n", - "2024-05-14 18:29:39,916 - acbm.assigning - DEBUG - Activity 143829: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:39,917 - acbm.assigning - DEBUG - Activity 143829: sampling based on floor area\n", - "2024-05-14 18:29:39,919 - acbm.assigning - DEBUG - Activity 143831: Initial number of options for activity = 138\n", - "2024-05-14 18:29:39,921 - acbm.assigning - DEBUG - Activity 143831: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:39,922 - acbm.assigning - DEBUG - Activity 143831: sampling based on floor area\n", - "2024-05-14 18:29:39,923 - acbm.assigning - DEBUG - Activity 143833: Initial number of options for activity = 138\n", - "2024-05-14 18:29:39,925 - acbm.assigning - DEBUG - Activity 143833: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:39,925 - acbm.assigning - DEBUG - Activity 143833: sampling based on floor area\n", - "2024-05-14 18:29:39,926 - acbm.assigning - DEBUG - Activity 143835: Initial number of options for activity = 138\n", - "2024-05-14 18:29:39,929 - acbm.assigning - DEBUG - Activity 143835: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:39,930 - acbm.assigning - DEBUG - Activity 143835: sampling based on floor area\n", - "2024-05-14 18:29:39,931 - acbm.assigning - DEBUG - Activity 143965: Initial number of options for activity = 137\n", - "2024-05-14 18:29:39,934 - acbm.assigning - DEBUG - Activity 143965: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:39,935 - acbm.assigning - DEBUG - Activity 143965: sampling based on floor area\n", - "2024-05-14 18:29:39,936 - acbm.assigning - DEBUG - Activity 143967: Initial number of options for activity = 114\n", - "2024-05-14 18:29:39,947 - acbm.assigning - DEBUG - Activity 143967: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:39,949 - acbm.assigning - DEBUG - Activity 143967: sampling based on floor area\n", - "2024-05-14 18:29:39,951 - acbm.assigning - DEBUG - Activity 143968: Initial number of options for activity = 137\n", - "2024-05-14 18:29:39,954 - acbm.assigning - DEBUG - Activity 143968: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:39,954 - acbm.assigning - DEBUG - Activity 143968: sampling based on floor area\n", - "2024-05-14 18:29:39,956 - acbm.assigning - DEBUG - Activity 143973: Initial number of options for activity = 84\n", - "2024-05-14 18:29:39,961 - acbm.assigning - DEBUG - Activity 143973: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:39,962 - acbm.assigning - DEBUG - Activity 143973: sampling based on floor area\n", - "2024-05-14 18:29:39,964 - acbm.assigning - DEBUG - Activity 143975: Initial number of options for activity = 137\n", - "2024-05-14 18:29:39,966 - acbm.assigning - DEBUG - Activity 143975: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:39,967 - acbm.assigning - DEBUG - Activity 143975: sampling based on floor area\n", - "2024-05-14 18:29:39,968 - acbm.assigning - DEBUG - Activity 143983: Initial number of options for activity = 84\n", - "2024-05-14 18:29:39,971 - acbm.assigning - DEBUG - Activity 143983: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:39,972 - acbm.assigning - DEBUG - Activity 143983: sampling based on floor area\n", - "2024-05-14 18:29:39,973 - acbm.assigning - DEBUG - Activity 143987: Initial number of options for activity = 114\n", - "2024-05-14 18:29:39,976 - acbm.assigning - DEBUG - Activity 143987: Number of options after filtering by education type: 114\n", - "2024-05-14 18:29:39,977 - acbm.assigning - DEBUG - Activity 143987: sampling based on floor area\n", - "2024-05-14 18:29:39,979 - acbm.assigning - DEBUG - Activity 143989: Initial number of options for activity = 137\n", - "2024-05-14 18:29:39,982 - acbm.assigning - DEBUG - Activity 143989: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:39,982 - acbm.assigning - DEBUG - Activity 143989: sampling based on floor area\n", - "2024-05-14 18:29:39,984 - acbm.assigning - DEBUG - Activity 143990: Initial number of options for activity = 137\n", - "2024-05-14 18:29:39,987 - acbm.assigning - DEBUG - Activity 143990: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:39,988 - acbm.assigning - DEBUG - Activity 143990: sampling based on floor area\n", - "2024-05-14 18:29:39,989 - acbm.assigning - DEBUG - Activity 143991: Initial number of options for activity = 137\n", - "2024-05-14 18:29:39,992 - acbm.assigning - DEBUG - Activity 143991: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:39,993 - acbm.assigning - DEBUG - Activity 143991: sampling based on floor area\n", - "2024-05-14 18:29:39,994 - acbm.assigning - DEBUG - Activity 144019: Initial number of options for activity = 3\n", - "2024-05-14 18:29:39,997 - acbm.assigning - DEBUG - Activity 144019: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:39,999 - acbm.assigning - DEBUG - Activity 144019: sampling based on floor area\n", - "2024-05-14 18:29:40,000 - acbm.assigning - DEBUG - Activity 144021: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,003 - acbm.assigning - DEBUG - Activity 144021: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,005 - acbm.assigning - DEBUG - Activity 144021: sampling based on floor area\n", - "2024-05-14 18:29:40,006 - acbm.assigning - DEBUG - Activity 144102: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,009 - acbm.assigning - DEBUG - Activity 144102: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,009 - acbm.assigning - DEBUG - Activity 144102: sampling based on floor area\n", - "2024-05-14 18:29:40,011 - acbm.assigning - INFO - Activity 144110: No zones available\n", - "2024-05-14 18:29:40,012 - acbm.assigning - DEBUG - Activity 144420: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,014 - acbm.assigning - DEBUG - Activity 144420: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,015 - acbm.assigning - DEBUG - Activity 144420: sampling based on floor area\n", - "2024-05-14 18:29:40,016 - acbm.assigning - DEBUG - Activity 144430: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,019 - acbm.assigning - DEBUG - Activity 144430: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,021 - acbm.assigning - DEBUG - Activity 144430: sampling based on floor area\n", - "2024-05-14 18:29:40,022 - acbm.assigning - DEBUG - Activity 144434: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,025 - acbm.assigning - DEBUG - Activity 144434: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,025 - acbm.assigning - DEBUG - Activity 144434: sampling based on floor area\n", - "2024-05-14 18:29:40,028 - acbm.assigning - DEBUG - Activity 144436: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,030 - acbm.assigning - DEBUG - Activity 144436: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,031 - acbm.assigning - DEBUG - Activity 144436: sampling based on floor area\n", - "2024-05-14 18:29:40,038 - acbm.assigning - DEBUG - Activity 144439: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,047 - acbm.assigning - DEBUG - Activity 144439: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,049 - acbm.assigning - DEBUG - Activity 144439: sampling based on floor area\n", - "2024-05-14 18:29:40,051 - acbm.assigning - DEBUG - Activity 144496: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,054 - acbm.assigning - DEBUG - Activity 144496: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,056 - acbm.assigning - DEBUG - Activity 144496: sampling based on floor area\n", - "2024-05-14 18:29:40,057 - acbm.assigning - DEBUG - Activity 144498: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,059 - acbm.assigning - DEBUG - Activity 144498: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,060 - acbm.assigning - DEBUG - Activity 144498: sampling based on floor area\n", - "2024-05-14 18:29:40,062 - acbm.assigning - DEBUG - Activity 144500: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,065 - acbm.assigning - DEBUG - Activity 144500: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,066 - acbm.assigning - DEBUG - Activity 144500: sampling based on floor area\n", - "2024-05-14 18:29:40,067 - acbm.assigning - DEBUG - Activity 144502: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,070 - acbm.assigning - DEBUG - Activity 144502: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,070 - acbm.assigning - DEBUG - Activity 144502: sampling based on floor area\n", - "2024-05-14 18:29:40,071 - acbm.assigning - DEBUG - Activity 144629: Initial number of options for activity = 56\n", - "2024-05-14 18:29:40,073 - acbm.assigning - DEBUG - Activity 144629: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:40,073 - acbm.assigning - DEBUG - Activity 144629: sampling based on floor area\n", - "2024-05-14 18:29:40,074 - acbm.assigning - DEBUG - Activity 144633: Initial number of options for activity = 56\n", - "2024-05-14 18:29:40,077 - acbm.assigning - DEBUG - Activity 144633: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:40,078 - acbm.assigning - DEBUG - Activity 144633: sampling based on floor area\n", - "2024-05-14 18:29:40,079 - acbm.assigning - DEBUG - Activity 144634: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,082 - acbm.assigning - DEBUG - Activity 144634: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,083 - acbm.assigning - DEBUG - Activity 144634: sampling based on floor area\n", - "2024-05-14 18:29:40,085 - acbm.assigning - DEBUG - Activity 144635: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,087 - acbm.assigning - DEBUG - Activity 144635: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,096 - acbm.assigning - DEBUG - Activity 144635: sampling based on floor area\n", - "2024-05-14 18:29:40,098 - acbm.assigning - DEBUG - Activity 144644: Initial number of options for activity = 118\n", - "2024-05-14 18:29:40,103 - acbm.assigning - DEBUG - Activity 144644: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:40,104 - acbm.assigning - DEBUG - Activity 144644: sampling based on floor area\n", - "2024-05-14 18:29:40,106 - acbm.assigning - DEBUG - Activity 144646: Initial number of options for activity = 118\n", - "2024-05-14 18:29:40,107 - acbm.assigning - DEBUG - Activity 144646: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:40,108 - acbm.assigning - DEBUG - Activity 144646: sampling based on floor area\n", - "2024-05-14 18:29:40,109 - acbm.assigning - DEBUG - Activity 144648: Initial number of options for activity = 118\n", - "2024-05-14 18:29:40,113 - acbm.assigning - DEBUG - Activity 144648: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:40,114 - acbm.assigning - DEBUG - Activity 144648: sampling based on floor area\n", - "2024-05-14 18:29:40,116 - acbm.assigning - DEBUG - Activity 144650: Initial number of options for activity = 118\n", - "2024-05-14 18:29:40,118 - acbm.assigning - DEBUG - Activity 144650: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:40,119 - acbm.assigning - DEBUG - Activity 144650: sampling based on floor area\n", - "2024-05-14 18:29:40,120 - acbm.assigning - DEBUG - Activity 144652: Initial number of options for activity = 118\n", - "2024-05-14 18:29:40,122 - acbm.assigning - DEBUG - Activity 144652: Number of options after filtering by education type: 118\n", - "2024-05-14 18:29:40,123 - acbm.assigning - DEBUG - Activity 144652: sampling based on floor area\n", - "2024-05-14 18:29:40,124 - acbm.assigning - DEBUG - Activity 144693: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,126 - acbm.assigning - DEBUG - Activity 144693: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,126 - acbm.assigning - DEBUG - Activity 144693: sampling based on floor area\n", - "2024-05-14 18:29:40,127 - acbm.assigning - DEBUG - Activity 144903: Initial number of options for activity = 103\n", - "2024-05-14 18:29:40,129 - acbm.assigning - DEBUG - Activity 144903: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:40,130 - acbm.assigning - DEBUG - Activity 144903: sampling based on floor area\n", - "2024-05-14 18:29:40,131 - acbm.assigning - DEBUG - Activity 144907: Initial number of options for activity = 19\n", - "2024-05-14 18:29:40,134 - acbm.assigning - DEBUG - Activity 144907: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:40,136 - acbm.assigning - DEBUG - Activity 144907: sampling based on floor area\n", - "2024-05-14 18:29:40,137 - acbm.assigning - DEBUG - Activity 144909: Initial number of options for activity = 26\n", - "2024-05-14 18:29:40,140 - acbm.assigning - DEBUG - Activity 144909: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:40,141 - acbm.assigning - DEBUG - Activity 144909: sampling based on floor area\n", - "2024-05-14 18:29:40,142 - acbm.assigning - DEBUG - Activity 144911: Initial number of options for activity = 19\n", - "2024-05-14 18:29:40,145 - acbm.assigning - DEBUG - Activity 144911: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:40,145 - acbm.assigning - DEBUG - Activity 144911: sampling based on floor area\n", - "2024-05-14 18:29:40,147 - acbm.assigning - DEBUG - Activity 144913: Initial number of options for activity = 19\n", - "2024-05-14 18:29:40,150 - acbm.assigning - DEBUG - Activity 144913: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:40,151 - acbm.assigning - DEBUG - Activity 144913: sampling based on floor area\n", - "2024-05-14 18:29:40,153 - acbm.assigning - DEBUG - Activity 144936: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,156 - acbm.assigning - DEBUG - Activity 144936: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,157 - acbm.assigning - DEBUG - Activity 144936: sampling based on floor area\n", - "2024-05-14 18:29:40,158 - acbm.assigning - DEBUG - Activity 144978: Initial number of options for activity = 111\n", - "2024-05-14 18:29:40,169 - acbm.assigning - DEBUG - Activity 144978: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:40,170 - acbm.assigning - DEBUG - Activity 144978: sampling based on floor area\n", - "2024-05-14 18:29:40,172 - acbm.assigning - DEBUG - Activity 145028: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,175 - acbm.assigning - DEBUG - Activity 145028: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,176 - acbm.assigning - DEBUG - Activity 145028: sampling based on floor area\n", - "2024-05-14 18:29:40,178 - acbm.assigning - DEBUG - Activity 145030: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,181 - acbm.assigning - DEBUG - Activity 145030: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,183 - acbm.assigning - DEBUG - Activity 145030: sampling based on floor area\n", - "2024-05-14 18:29:40,185 - acbm.assigning - DEBUG - Activity 145047: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,188 - acbm.assigning - DEBUG - Activity 145047: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,189 - acbm.assigning - DEBUG - Activity 145047: sampling based on floor area\n", - "2024-05-14 18:29:40,190 - acbm.assigning - DEBUG - Activity 145049: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,192 - acbm.assigning - DEBUG - Activity 145049: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,193 - acbm.assigning - DEBUG - Activity 145049: sampling based on floor area\n", - "2024-05-14 18:29:40,194 - acbm.assigning - DEBUG - Activity 145223: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,196 - acbm.assigning - DEBUG - Activity 145223: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,197 - acbm.assigning - DEBUG - Activity 145223: sampling based on floor area\n", - "2024-05-14 18:29:40,198 - acbm.assigning - DEBUG - Activity 145225: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,201 - acbm.assigning - DEBUG - Activity 145225: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,201 - acbm.assigning - DEBUG - Activity 145225: sampling based on floor area\n", - "2024-05-14 18:29:40,202 - acbm.assigning - DEBUG - Activity 145255: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,204 - acbm.assigning - DEBUG - Activity 145255: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,205 - acbm.assigning - DEBUG - Activity 145255: sampling based on floor area\n", - "2024-05-14 18:29:40,206 - acbm.assigning - DEBUG - Activity 145310: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,208 - acbm.assigning - DEBUG - Activity 145310: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,208 - acbm.assigning - DEBUG - Activity 145310: sampling based on floor area\n", - "2024-05-14 18:29:40,209 - acbm.assigning - DEBUG - Activity 145311: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,211 - acbm.assigning - DEBUG - Activity 145311: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,212 - acbm.assigning - DEBUG - Activity 145311: sampling based on floor area\n", - "2024-05-14 18:29:40,213 - acbm.assigning - DEBUG - Activity 145312: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,216 - acbm.assigning - DEBUG - Activity 145312: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,218 - acbm.assigning - DEBUG - Activity 145312: sampling based on floor area\n", - "2024-05-14 18:29:40,219 - acbm.assigning - DEBUG - Activity 145313: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,221 - acbm.assigning - DEBUG - Activity 145313: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,222 - acbm.assigning - DEBUG - Activity 145313: sampling based on floor area\n", - "2024-05-14 18:29:40,224 - acbm.assigning - DEBUG - Activity 145314: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,227 - acbm.assigning - DEBUG - Activity 145314: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,228 - acbm.assigning - DEBUG - Activity 145314: sampling based on floor area\n", - "2024-05-14 18:29:40,229 - acbm.assigning - DEBUG - Activity 145381: Initial number of options for activity = 117\n", - "2024-05-14 18:29:40,232 - acbm.assigning - DEBUG - Activity 145381: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:40,234 - acbm.assigning - DEBUG - Activity 145381: sampling based on floor area\n", - "2024-05-14 18:29:40,236 - acbm.assigning - DEBUG - Activity 145383: Initial number of options for activity = 117\n", - "2024-05-14 18:29:40,239 - acbm.assigning - DEBUG - Activity 145383: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:40,240 - acbm.assigning - DEBUG - Activity 145383: sampling based on floor area\n", - "2024-05-14 18:29:40,241 - acbm.assigning - DEBUG - Activity 145385: Initial number of options for activity = 117\n", - "2024-05-14 18:29:40,243 - acbm.assigning - DEBUG - Activity 145385: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:40,244 - acbm.assigning - DEBUG - Activity 145385: sampling based on floor area\n", - "2024-05-14 18:29:40,245 - acbm.assigning - DEBUG - Activity 145387: Initial number of options for activity = 117\n", - "2024-05-14 18:29:40,247 - acbm.assigning - DEBUG - Activity 145387: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:40,248 - acbm.assigning - DEBUG - Activity 145387: sampling based on floor area\n", - "2024-05-14 18:29:40,249 - acbm.assigning - DEBUG - Activity 145389: Initial number of options for activity = 117\n", - "2024-05-14 18:29:40,252 - acbm.assigning - DEBUG - Activity 145389: Number of options after filtering by education type: 117\n", - "2024-05-14 18:29:40,254 - acbm.assigning - DEBUG - Activity 145389: sampling based on floor area\n", - "2024-05-14 18:29:40,255 - acbm.assigning - DEBUG - Activity 145551: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,258 - acbm.assigning - DEBUG - Activity 145551: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,259 - acbm.assigning - DEBUG - Activity 145551: sampling based on floor area\n", - "2024-05-14 18:29:40,261 - acbm.assigning - DEBUG - Activity 145554: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,263 - acbm.assigning - DEBUG - Activity 145554: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,264 - acbm.assigning - DEBUG - Activity 145554: sampling based on floor area\n", - "2024-05-14 18:29:40,265 - acbm.assigning - DEBUG - Activity 145556: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,268 - acbm.assigning - DEBUG - Activity 145556: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,269 - acbm.assigning - DEBUG - Activity 145556: sampling based on floor area\n", - "2024-05-14 18:29:40,270 - acbm.assigning - DEBUG - Activity 145560: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,273 - acbm.assigning - DEBUG - Activity 145560: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,273 - acbm.assigning - DEBUG - Activity 145560: sampling based on floor area\n", - "2024-05-14 18:29:40,274 - acbm.assigning - DEBUG - Activity 145561: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,276 - acbm.assigning - DEBUG - Activity 145561: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,276 - acbm.assigning - DEBUG - Activity 145561: sampling based on floor area\n", - "2024-05-14 18:29:40,278 - acbm.assigning - DEBUG - Activity 145565: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,281 - acbm.assigning - DEBUG - Activity 145565: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,282 - acbm.assigning - DEBUG - Activity 145565: sampling based on floor area\n", - "2024-05-14 18:29:40,283 - acbm.assigning - DEBUG - Activity 145567: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,286 - acbm.assigning - DEBUG - Activity 145567: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,295 - acbm.assigning - DEBUG - Activity 145567: sampling based on floor area\n", - "2024-05-14 18:29:40,297 - acbm.assigning - DEBUG - Activity 145574: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,300 - acbm.assigning - DEBUG - Activity 145574: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,303 - acbm.assigning - DEBUG - Activity 145574: sampling based on floor area\n", - "2024-05-14 18:29:40,305 - acbm.assigning - DEBUG - Activity 145575: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,307 - acbm.assigning - DEBUG - Activity 145575: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,308 - acbm.assigning - DEBUG - Activity 145575: sampling based on floor area\n", - "2024-05-14 18:29:40,309 - acbm.assigning - DEBUG - Activity 145576: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,312 - acbm.assigning - DEBUG - Activity 145576: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,313 - acbm.assigning - DEBUG - Activity 145576: sampling based on floor area\n", - "2024-05-14 18:29:40,315 - acbm.assigning - DEBUG - Activity 145580: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,318 - acbm.assigning - DEBUG - Activity 145580: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,319 - acbm.assigning - DEBUG - Activity 145580: sampling based on floor area\n", - "2024-05-14 18:29:40,321 - acbm.assigning - DEBUG - Activity 145582: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,323 - acbm.assigning - DEBUG - Activity 145582: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,324 - acbm.assigning - DEBUG - Activity 145582: sampling based on floor area\n", - "2024-05-14 18:29:40,326 - acbm.assigning - DEBUG - Activity 145584: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,327 - acbm.assigning - DEBUG - Activity 145584: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,328 - acbm.assigning - DEBUG - Activity 145584: sampling based on floor area\n", - "2024-05-14 18:29:40,329 - acbm.assigning - DEBUG - Activity 145587: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,332 - acbm.assigning - DEBUG - Activity 145587: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,333 - acbm.assigning - DEBUG - Activity 145587: sampling based on floor area\n", - "2024-05-14 18:29:40,335 - acbm.assigning - DEBUG - Activity 145588: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,337 - acbm.assigning - DEBUG - Activity 145588: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,338 - acbm.assigning - DEBUG - Activity 145588: sampling based on floor area\n", - "2024-05-14 18:29:40,339 - acbm.assigning - INFO - Activity 145744: No zones available\n", - "2024-05-14 18:29:40,340 - acbm.assigning - INFO - Activity 145745: No zones available\n", - "2024-05-14 18:29:40,340 - acbm.assigning - INFO - Activity 145746: No zones available\n", - "2024-05-14 18:29:40,341 - acbm.assigning - INFO - Activity 145748: No zones available\n", - "2024-05-14 18:29:40,341 - acbm.assigning - INFO - Activity 145749: No zones available\n", - "2024-05-14 18:29:40,342 - acbm.assigning - DEBUG - Activity 145753: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,343 - acbm.assigning - DEBUG - Activity 145753: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,344 - acbm.assigning - DEBUG - Activity 145753: sampling based on floor area\n", - "2024-05-14 18:29:40,345 - acbm.assigning - DEBUG - Activity 145832: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,349 - acbm.assigning - DEBUG - Activity 145832: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,350 - acbm.assigning - DEBUG - Activity 145832: sampling based on floor area\n", - "2024-05-14 18:29:40,351 - acbm.assigning - DEBUG - Activity 145834: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,354 - acbm.assigning - DEBUG - Activity 145834: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,355 - acbm.assigning - DEBUG - Activity 145834: sampling based on floor area\n", - "2024-05-14 18:29:40,356 - acbm.assigning - DEBUG - Activity 145836: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,359 - acbm.assigning - DEBUG - Activity 145836: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,360 - acbm.assigning - DEBUG - Activity 145836: sampling based on floor area\n", - "2024-05-14 18:29:40,361 - acbm.assigning - DEBUG - Activity 145838: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,364 - acbm.assigning - DEBUG - Activity 145838: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,365 - acbm.assigning - DEBUG - Activity 145838: sampling based on floor area\n", - "2024-05-14 18:29:40,367 - acbm.assigning - DEBUG - Activity 145903: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,369 - acbm.assigning - DEBUG - Activity 145903: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,370 - acbm.assigning - DEBUG - Activity 145903: sampling based on floor area\n", - "2024-05-14 18:29:40,372 - acbm.assigning - DEBUG - Activity 145907: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,374 - acbm.assigning - DEBUG - Activity 145907: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,375 - acbm.assigning - DEBUG - Activity 145907: sampling based on floor area\n", - "2024-05-14 18:29:40,376 - acbm.assigning - DEBUG - Activity 145911: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,379 - acbm.assigning - DEBUG - Activity 145911: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,380 - acbm.assigning - DEBUG - Activity 145911: sampling based on floor area\n", - "2024-05-14 18:29:40,381 - acbm.assigning - DEBUG - Activity 145914: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,385 - acbm.assigning - DEBUG - Activity 145914: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,386 - acbm.assigning - DEBUG - Activity 145914: sampling based on floor area\n", - "2024-05-14 18:29:40,388 - acbm.assigning - DEBUG - Activity 145916: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,391 - acbm.assigning - DEBUG - Activity 145916: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,393 - acbm.assigning - DEBUG - Activity 145916: sampling based on floor area\n", - "2024-05-14 18:29:40,394 - acbm.assigning - DEBUG - Activity 145928: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,399 - acbm.assigning - DEBUG - Activity 145928: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,400 - acbm.assigning - DEBUG - Activity 145928: sampling based on floor area\n", - "2024-05-14 18:29:40,402 - acbm.assigning - DEBUG - Activity 145932: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,406 - acbm.assigning - DEBUG - Activity 145932: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,407 - acbm.assigning - DEBUG - Activity 145932: sampling based on floor area\n", - "2024-05-14 18:29:40,409 - acbm.assigning - DEBUG - Activity 145936: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,412 - acbm.assigning - DEBUG - Activity 145936: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,414 - acbm.assigning - DEBUG - Activity 145936: sampling based on floor area\n", - "2024-05-14 18:29:40,416 - acbm.assigning - DEBUG - Activity 145939: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,419 - acbm.assigning - DEBUG - Activity 145939: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,421 - acbm.assigning - DEBUG - Activity 145939: sampling based on floor area\n", - "2024-05-14 18:29:40,422 - acbm.assigning - DEBUG - Activity 145941: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,425 - acbm.assigning - DEBUG - Activity 145941: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,426 - acbm.assigning - DEBUG - Activity 145941: sampling based on floor area\n", - "2024-05-14 18:29:40,428 - acbm.assigning - INFO - Activity 145994: No zones available\n", - "2024-05-14 18:29:40,428 - acbm.assigning - INFO - Activity 146016: No zones available\n", - "2024-05-14 18:29:40,429 - acbm.assigning - DEBUG - Activity 146083: Initial number of options for activity = 45\n", - "2024-05-14 18:29:40,432 - acbm.assigning - DEBUG - Activity 146083: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:40,433 - acbm.assigning - DEBUG - Activity 146083: sampling based on floor area\n", - "2024-05-14 18:29:40,435 - acbm.assigning - DEBUG - Activity 146084: Initial number of options for activity = 45\n", - "2024-05-14 18:29:40,438 - acbm.assigning - DEBUG - Activity 146084: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:40,439 - acbm.assigning - DEBUG - Activity 146084: sampling based on floor area\n", - "2024-05-14 18:29:40,441 - acbm.assigning - DEBUG - Activity 146108: Initial number of options for activity = 21\n", - "2024-05-14 18:29:40,443 - acbm.assigning - DEBUG - Activity 146108: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:40,444 - acbm.assigning - DEBUG - Activity 146108: sampling based on floor area\n", - "2024-05-14 18:29:40,445 - acbm.assigning - DEBUG - Activity 146110: Initial number of options for activity = 21\n", - "2024-05-14 18:29:40,448 - acbm.assigning - DEBUG - Activity 146110: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:40,449 - acbm.assigning - DEBUG - Activity 146110: sampling based on floor area\n", - "2024-05-14 18:29:40,451 - acbm.assigning - DEBUG - Activity 146112: Initial number of options for activity = 21\n", - "2024-05-14 18:29:40,454 - acbm.assigning - DEBUG - Activity 146112: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:40,455 - acbm.assigning - DEBUG - Activity 146112: sampling based on floor area\n", - "2024-05-14 18:29:40,457 - acbm.assigning - DEBUG - Activity 146114: Initial number of options for activity = 21\n", - "2024-05-14 18:29:40,459 - acbm.assigning - DEBUG - Activity 146114: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:40,460 - acbm.assigning - DEBUG - Activity 146114: sampling based on floor area\n", - "2024-05-14 18:29:40,461 - acbm.assigning - DEBUG - Activity 146116: Initial number of options for activity = 21\n", - "2024-05-14 18:29:40,464 - acbm.assigning - DEBUG - Activity 146116: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:40,465 - acbm.assigning - DEBUG - Activity 146116: sampling based on floor area\n", - "2024-05-14 18:29:40,467 - acbm.assigning - DEBUG - Activity 146178: Initial number of options for activity = 128\n", - "2024-05-14 18:29:40,469 - acbm.assigning - DEBUG - Activity 146178: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:40,470 - acbm.assigning - DEBUG - Activity 146178: sampling based on floor area\n", - "2024-05-14 18:29:40,471 - acbm.assigning - DEBUG - Activity 146180: Initial number of options for activity = 128\n", - "2024-05-14 18:29:40,483 - acbm.assigning - DEBUG - Activity 146180: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:40,484 - acbm.assigning - DEBUG - Activity 146180: sampling based on floor area\n", - "2024-05-14 18:29:40,486 - acbm.assigning - DEBUG - Activity 146182: Initial number of options for activity = 128\n", - "2024-05-14 18:29:40,489 - acbm.assigning - DEBUG - Activity 146182: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:40,490 - acbm.assigning - DEBUG - Activity 146182: sampling based on floor area\n", - "2024-05-14 18:29:40,491 - acbm.assigning - DEBUG - Activity 146184: Initial number of options for activity = 128\n", - "2024-05-14 18:29:40,495 - acbm.assigning - DEBUG - Activity 146184: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:40,497 - acbm.assigning - DEBUG - Activity 146184: sampling based on floor area\n", - "2024-05-14 18:29:40,499 - acbm.assigning - DEBUG - Activity 146227: Initial number of options for activity = 7\n", - "2024-05-14 18:29:40,500 - acbm.assigning - DEBUG - Activity 146227: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:40,501 - acbm.assigning - DEBUG - Activity 146227: sampling based on floor area\n", - "2024-05-14 18:29:40,502 - acbm.assigning - DEBUG - Activity 146234: Initial number of options for activity = 7\n", - "2024-05-14 18:29:40,504 - acbm.assigning - DEBUG - Activity 146234: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:40,505 - acbm.assigning - DEBUG - Activity 146234: sampling based on floor area\n", - "2024-05-14 18:29:40,506 - acbm.assigning - DEBUG - Activity 146238: Initial number of options for activity = 7\n", - "2024-05-14 18:29:40,507 - acbm.assigning - DEBUG - Activity 146238: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:40,508 - acbm.assigning - DEBUG - Activity 146238: sampling based on floor area\n", - "2024-05-14 18:29:40,509 - acbm.assigning - DEBUG - Activity 146239: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,511 - acbm.assigning - DEBUG - Activity 146239: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,512 - acbm.assigning - DEBUG - Activity 146239: sampling based on floor area\n", - "2024-05-14 18:29:40,513 - acbm.assigning - DEBUG - Activity 146240: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,515 - acbm.assigning - DEBUG - Activity 146240: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,515 - acbm.assigning - DEBUG - Activity 146240: sampling based on floor area\n", - "2024-05-14 18:29:40,516 - acbm.assigning - DEBUG - Activity 146293: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,518 - acbm.assigning - DEBUG - Activity 146293: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,519 - acbm.assigning - DEBUG - Activity 146293: sampling based on floor area\n", - "2024-05-14 18:29:40,520 - acbm.assigning - DEBUG - Activity 146294: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,522 - acbm.assigning - DEBUG - Activity 146294: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,523 - acbm.assigning - DEBUG - Activity 146294: sampling based on floor area\n", - "2024-05-14 18:29:40,524 - acbm.assigning - DEBUG - Activity 146300: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,526 - acbm.assigning - DEBUG - Activity 146300: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,527 - acbm.assigning - DEBUG - Activity 146300: sampling based on floor area\n", - "2024-05-14 18:29:40,528 - acbm.assigning - DEBUG - Activity 146303: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,531 - acbm.assigning - DEBUG - Activity 146303: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,532 - acbm.assigning - DEBUG - Activity 146303: sampling based on floor area\n", - "2024-05-14 18:29:40,534 - acbm.assigning - DEBUG - Activity 146304: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,536 - acbm.assigning - DEBUG - Activity 146304: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,537 - acbm.assigning - DEBUG - Activity 146304: sampling based on floor area\n", - "2024-05-14 18:29:40,538 - acbm.assigning - DEBUG - Activity 146307: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,541 - acbm.assigning - DEBUG - Activity 146307: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,542 - acbm.assigning - DEBUG - Activity 146307: sampling based on floor area\n", - "2024-05-14 18:29:40,544 - acbm.assigning - DEBUG - Activity 146308: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,546 - acbm.assigning - DEBUG - Activity 146308: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,548 - acbm.assigning - DEBUG - Activity 146308: sampling based on floor area\n", - "2024-05-14 18:29:40,549 - acbm.assigning - DEBUG - Activity 146309: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,551 - acbm.assigning - DEBUG - Activity 146309: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,552 - acbm.assigning - DEBUG - Activity 146309: sampling based on floor area\n", - "2024-05-14 18:29:40,553 - acbm.assigning - DEBUG - Activity 146312: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,555 - acbm.assigning - DEBUG - Activity 146312: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,556 - acbm.assigning - DEBUG - Activity 146312: sampling based on floor area\n", - "2024-05-14 18:29:40,557 - acbm.assigning - DEBUG - Activity 146314: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,558 - acbm.assigning - DEBUG - Activity 146314: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,559 - acbm.assigning - DEBUG - Activity 146314: sampling based on floor area\n", - "2024-05-14 18:29:40,561 - acbm.assigning - INFO - Activity 146318: No zones available\n", - "2024-05-14 18:29:40,562 - acbm.assigning - INFO - Activity 146320: No zones available\n", - "2024-05-14 18:29:40,563 - acbm.assigning - INFO - Activity 146322: No zones available\n", - "2024-05-14 18:29:40,564 - acbm.assigning - INFO - Activity 146324: No zones available\n", - "2024-05-14 18:29:40,564 - acbm.assigning - INFO - Activity 146328: No zones available\n", - "2024-05-14 18:29:40,565 - acbm.assigning - DEBUG - Activity 146544: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,567 - acbm.assigning - DEBUG - Activity 146544: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,568 - acbm.assigning - DEBUG - Activity 146544: sampling based on floor area\n", - "2024-05-14 18:29:40,569 - acbm.assigning - INFO - Activity 146616: No zones available\n", - "2024-05-14 18:29:40,570 - acbm.assigning - DEBUG - Activity 146617: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,572 - acbm.assigning - DEBUG - Activity 146617: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,574 - acbm.assigning - DEBUG - Activity 146617: sampling based on floor area\n", - "2024-05-14 18:29:40,576 - acbm.assigning - DEBUG - Activity 146618: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,579 - acbm.assigning - DEBUG - Activity 146618: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,580 - acbm.assigning - DEBUG - Activity 146618: sampling based on floor area\n", - "2024-05-14 18:29:40,582 - acbm.assigning - DEBUG - Activity 146656: Initial number of options for activity = 45\n", - "2024-05-14 18:29:40,585 - acbm.assigning - DEBUG - Activity 146656: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:40,588 - acbm.assigning - DEBUG - Activity 146656: sampling based on floor area\n", - "2024-05-14 18:29:40,590 - acbm.assigning - DEBUG - Activity 146658: Initial number of options for activity = 45\n", - "2024-05-14 18:29:40,592 - acbm.assigning - DEBUG - Activity 146658: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:40,593 - acbm.assigning - DEBUG - Activity 146658: sampling based on floor area\n", - "2024-05-14 18:29:40,594 - acbm.assigning - DEBUG - Activity 146660: Initial number of options for activity = 45\n", - "2024-05-14 18:29:40,597 - acbm.assigning - DEBUG - Activity 146660: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:40,598 - acbm.assigning - DEBUG - Activity 146660: sampling based on floor area\n", - "2024-05-14 18:29:40,599 - acbm.assigning - DEBUG - Activity 146664: Initial number of options for activity = 3\n", - "2024-05-14 18:29:40,601 - acbm.assigning - DEBUG - Activity 146664: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:40,602 - acbm.assigning - DEBUG - Activity 146664: sampling based on floor area\n", - "2024-05-14 18:29:40,603 - acbm.assigning - DEBUG - Activity 146705: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,605 - acbm.assigning - DEBUG - Activity 146705: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,605 - acbm.assigning - DEBUG - Activity 146705: sampling based on floor area\n", - "2024-05-14 18:29:40,606 - acbm.assigning - DEBUG - Activity 146706: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,608 - acbm.assigning - DEBUG - Activity 146706: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,608 - acbm.assigning - DEBUG - Activity 146706: sampling based on floor area\n", - "2024-05-14 18:29:40,609 - acbm.assigning - DEBUG - Activity 146707: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,611 - acbm.assigning - DEBUG - Activity 146707: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,612 - acbm.assigning - DEBUG - Activity 146707: sampling based on floor area\n", - "2024-05-14 18:29:40,614 - acbm.assigning - DEBUG - Activity 146708: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,617 - acbm.assigning - DEBUG - Activity 146708: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,618 - acbm.assigning - DEBUG - Activity 146708: sampling based on floor area\n", - "2024-05-14 18:29:40,620 - acbm.assigning - DEBUG - Activity 146709: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,622 - acbm.assigning - DEBUG - Activity 146709: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,622 - acbm.assigning - DEBUG - Activity 146709: sampling based on floor area\n", - "2024-05-14 18:29:40,624 - acbm.assigning - DEBUG - Activity 146923: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,625 - acbm.assigning - DEBUG - Activity 146923: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,626 - acbm.assigning - DEBUG - Activity 146923: sampling based on floor area\n", - "2024-05-14 18:29:40,627 - acbm.assigning - DEBUG - Activity 147198: Initial number of options for activity = 11\n", - "2024-05-14 18:29:40,629 - acbm.assigning - DEBUG - Activity 147198: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:40,629 - acbm.assigning - DEBUG - Activity 147198: sampling based on floor area\n", - "2024-05-14 18:29:40,630 - acbm.assigning - DEBUG - Activity 147200: Initial number of options for activity = 11\n", - "2024-05-14 18:29:40,632 - acbm.assigning - DEBUG - Activity 147200: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:40,633 - acbm.assigning - DEBUG - Activity 147200: sampling based on floor area\n", - "2024-05-14 18:29:40,635 - acbm.assigning - DEBUG - Activity 147204: Initial number of options for activity = 11\n", - "2024-05-14 18:29:40,639 - acbm.assigning - DEBUG - Activity 147204: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:40,640 - acbm.assigning - DEBUG - Activity 147204: sampling based on floor area\n", - "2024-05-14 18:29:40,641 - acbm.assigning - DEBUG - Activity 147206: Initial number of options for activity = 11\n", - "2024-05-14 18:29:40,644 - acbm.assigning - DEBUG - Activity 147206: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:40,653 - acbm.assigning - DEBUG - Activity 147206: sampling based on floor area\n", - "2024-05-14 18:29:40,654 - acbm.assigning - DEBUG - Activity 147329: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,657 - acbm.assigning - DEBUG - Activity 147329: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,659 - acbm.assigning - DEBUG - Activity 147329: sampling based on floor area\n", - "2024-05-14 18:29:40,662 - acbm.assigning - DEBUG - Activity 147331: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,665 - acbm.assigning - DEBUG - Activity 147331: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,666 - acbm.assigning - DEBUG - Activity 147331: sampling based on floor area\n", - "2024-05-14 18:29:40,667 - acbm.assigning - DEBUG - Activity 147333: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,669 - acbm.assigning - DEBUG - Activity 147333: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,671 - acbm.assigning - DEBUG - Activity 147333: sampling based on floor area\n", - "2024-05-14 18:29:40,672 - acbm.assigning - DEBUG - Activity 147335: Initial number of options for activity = 38\n", - "2024-05-14 18:29:40,674 - acbm.assigning - DEBUG - Activity 147335: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:40,675 - acbm.assigning - DEBUG - Activity 147335: sampling based on floor area\n", - "2024-05-14 18:29:40,676 - acbm.assigning - DEBUG - Activity 147364: Initial number of options for activity = 5\n", - "2024-05-14 18:29:40,679 - acbm.assigning - DEBUG - Activity 147364: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:40,680 - acbm.assigning - DEBUG - Activity 147364: sampling based on floor area\n", - "2024-05-14 18:29:40,681 - acbm.assigning - DEBUG - Activity 147399: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,683 - acbm.assigning - DEBUG - Activity 147399: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,684 - acbm.assigning - DEBUG - Activity 147399: sampling based on floor area\n", - "2024-05-14 18:29:40,685 - acbm.assigning - DEBUG - Activity 147401: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,686 - acbm.assigning - DEBUG - Activity 147401: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,687 - acbm.assigning - DEBUG - Activity 147401: sampling based on floor area\n", - "2024-05-14 18:29:40,688 - acbm.assigning - DEBUG - Activity 147405: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,689 - acbm.assigning - DEBUG - Activity 147405: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,690 - acbm.assigning - DEBUG - Activity 147405: sampling based on floor area\n", - "2024-05-14 18:29:40,692 - acbm.assigning - DEBUG - Activity 147407: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,694 - acbm.assigning - DEBUG - Activity 147407: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,695 - acbm.assigning - DEBUG - Activity 147407: sampling based on floor area\n", - "2024-05-14 18:29:40,697 - acbm.assigning - DEBUG - Activity 147409: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,700 - acbm.assigning - DEBUG - Activity 147409: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,701 - acbm.assigning - DEBUG - Activity 147409: sampling based on floor area\n", - "2024-05-14 18:29:40,702 - acbm.assigning - DEBUG - Activity 147477: Initial number of options for activity = 64\n", - "2024-05-14 18:29:40,705 - acbm.assigning - DEBUG - Activity 147477: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:40,706 - acbm.assigning - DEBUG - Activity 147477: sampling based on floor area\n", - "2024-05-14 18:29:40,707 - acbm.assigning - DEBUG - Activity 147479: Initial number of options for activity = 64\n", - "2024-05-14 18:29:40,709 - acbm.assigning - DEBUG - Activity 147479: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:40,710 - acbm.assigning - DEBUG - Activity 147479: sampling based on floor area\n", - "2024-05-14 18:29:40,711 - acbm.assigning - DEBUG - Activity 147481: Initial number of options for activity = 161\n", - "2024-05-14 18:29:40,713 - acbm.assigning - DEBUG - Activity 147481: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:40,714 - acbm.assigning - DEBUG - Activity 147481: sampling based on floor area\n", - "2024-05-14 18:29:40,715 - acbm.assigning - DEBUG - Activity 147483: Initial number of options for activity = 64\n", - "2024-05-14 18:29:40,717 - acbm.assigning - DEBUG - Activity 147483: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:40,718 - acbm.assigning - DEBUG - Activity 147483: sampling based on floor area\n", - "2024-05-14 18:29:40,720 - acbm.assigning - DEBUG - Activity 147485: Initial number of options for activity = 64\n", - "2024-05-14 18:29:40,721 - acbm.assigning - DEBUG - Activity 147485: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:40,722 - acbm.assigning - DEBUG - Activity 147485: sampling based on floor area\n", - "2024-05-14 18:29:40,723 - acbm.assigning - DEBUG - Activity 147562: Initial number of options for activity = 105\n", - "2024-05-14 18:29:40,726 - acbm.assigning - DEBUG - Activity 147562: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:40,726 - acbm.assigning - DEBUG - Activity 147562: sampling based on floor area\n", - "2024-05-14 18:29:40,728 - acbm.assigning - DEBUG - Activity 147564: Initial number of options for activity = 105\n", - "2024-05-14 18:29:40,731 - acbm.assigning - DEBUG - Activity 147564: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:40,732 - acbm.assigning - DEBUG - Activity 147564: sampling based on floor area\n", - "2024-05-14 18:29:40,734 - acbm.assigning - DEBUG - Activity 147568: Initial number of options for activity = 105\n", - "2024-05-14 18:29:40,736 - acbm.assigning - DEBUG - Activity 147568: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:40,737 - acbm.assigning - DEBUG - Activity 147568: sampling based on floor area\n", - "2024-05-14 18:29:40,739 - acbm.assigning - DEBUG - Activity 147570: Initial number of options for activity = 105\n", - "2024-05-14 18:29:40,741 - acbm.assigning - DEBUG - Activity 147570: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:40,742 - acbm.assigning - DEBUG - Activity 147570: sampling based on floor area\n", - "2024-05-14 18:29:40,744 - acbm.assigning - DEBUG - Activity 147572: Initial number of options for activity = 105\n", - "2024-05-14 18:29:40,747 - acbm.assigning - DEBUG - Activity 147572: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:40,748 - acbm.assigning - DEBUG - Activity 147572: sampling based on floor area\n", - "2024-05-14 18:29:40,750 - acbm.assigning - DEBUG - Activity 147617: Initial number of options for activity = 23\n", - "2024-05-14 18:29:40,754 - acbm.assigning - DEBUG - Activity 147617: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:40,755 - acbm.assigning - DEBUG - Activity 147617: sampling based on floor area\n", - "2024-05-14 18:29:40,756 - acbm.assigning - DEBUG - Activity 147619: Initial number of options for activity = 23\n", - "2024-05-14 18:29:40,760 - acbm.assigning - DEBUG - Activity 147619: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:40,761 - acbm.assigning - DEBUG - Activity 147619: sampling based on floor area\n", - "2024-05-14 18:29:40,762 - acbm.assigning - DEBUG - Activity 147621: Initial number of options for activity = 23\n", - "2024-05-14 18:29:40,764 - acbm.assigning - DEBUG - Activity 147621: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:40,765 - acbm.assigning - DEBUG - Activity 147621: sampling based on floor area\n", - "2024-05-14 18:29:40,767 - acbm.assigning - DEBUG - Activity 147623: Initial number of options for activity = 23\n", - "2024-05-14 18:29:40,769 - acbm.assigning - DEBUG - Activity 147623: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:40,770 - acbm.assigning - DEBUG - Activity 147623: sampling based on floor area\n", - "2024-05-14 18:29:40,771 - acbm.assigning - DEBUG - Activity 148035: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,774 - acbm.assigning - DEBUG - Activity 148035: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,775 - acbm.assigning - DEBUG - Activity 148035: sampling based on floor area\n", - "2024-05-14 18:29:40,776 - acbm.assigning - DEBUG - Activity 148037: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,780 - acbm.assigning - DEBUG - Activity 148037: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,781 - acbm.assigning - DEBUG - Activity 148037: sampling based on floor area\n", - "2024-05-14 18:29:40,783 - acbm.assigning - DEBUG - Activity 148039: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,785 - acbm.assigning - DEBUG - Activity 148039: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,794 - acbm.assigning - DEBUG - Activity 148039: sampling based on floor area\n", - "2024-05-14 18:29:40,796 - acbm.assigning - DEBUG - Activity 148041: Initial number of options for activity = 32\n", - "2024-05-14 18:29:40,800 - acbm.assigning - DEBUG - Activity 148041: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:40,801 - acbm.assigning - DEBUG - Activity 148041: sampling based on floor area\n", - "2024-05-14 18:29:40,802 - acbm.assigning - DEBUG - Activity 148072: Initial number of options for activity = 7\n", - "2024-05-14 18:29:40,804 - acbm.assigning - DEBUG - Activity 148072: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:40,805 - acbm.assigning - DEBUG - Activity 148072: sampling based on floor area\n", - "2024-05-14 18:29:40,806 - acbm.assigning - INFO - KeyError: Key 148073 in possible_zones has no values\n", - "2024-05-14 18:29:40,807 - acbm.assigning - DEBUG - Activity 148079: Initial number of options for activity = 7\n", - "2024-05-14 18:29:40,809 - acbm.assigning - DEBUG - Activity 148079: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:40,809 - acbm.assigning - DEBUG - Activity 148079: sampling based on floor area\n", - "2024-05-14 18:29:40,811 - acbm.assigning - DEBUG - Activity 148080: Initial number of options for activity = 7\n", - "2024-05-14 18:29:40,812 - acbm.assigning - DEBUG - Activity 148080: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:40,813 - acbm.assigning - DEBUG - Activity 148080: sampling based on floor area\n", - "2024-05-14 18:29:40,814 - acbm.assigning - DEBUG - Activity 148084: Initial number of options for activity = 7\n", - "2024-05-14 18:29:40,816 - acbm.assigning - DEBUG - Activity 148084: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:40,816 - acbm.assigning - DEBUG - Activity 148084: sampling based on floor area\n", - "2024-05-14 18:29:40,817 - acbm.assigning - DEBUG - Activity 148152: Initial number of options for activity = 59\n", - "2024-05-14 18:29:40,819 - acbm.assigning - DEBUG - Activity 148152: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:40,820 - acbm.assigning - DEBUG - Activity 148152: sampling based on floor area\n", - "2024-05-14 18:29:40,821 - acbm.assigning - DEBUG - Activity 148154: Initial number of options for activity = 59\n", - "2024-05-14 18:29:40,823 - acbm.assigning - DEBUG - Activity 148154: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:40,823 - acbm.assigning - DEBUG - Activity 148154: sampling based on floor area\n", - "2024-05-14 18:29:40,825 - acbm.assigning - DEBUG - Activity 148158: Initial number of options for activity = 59\n", - "2024-05-14 18:29:40,826 - acbm.assigning - DEBUG - Activity 148158: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:40,827 - acbm.assigning - DEBUG - Activity 148158: sampling based on floor area\n", - "2024-05-14 18:29:40,828 - acbm.assigning - DEBUG - Activity 148160: Initial number of options for activity = 59\n", - "2024-05-14 18:29:40,830 - acbm.assigning - DEBUG - Activity 148160: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:40,831 - acbm.assigning - DEBUG - Activity 148160: sampling based on floor area\n", - "2024-05-14 18:29:40,832 - acbm.assigning - DEBUG - Activity 148162: Initial number of options for activity = 59\n", - "2024-05-14 18:29:40,834 - acbm.assigning - DEBUG - Activity 148162: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:40,835 - acbm.assigning - DEBUG - Activity 148162: sampling based on floor area\n", - "2024-05-14 18:29:40,837 - acbm.assigning - DEBUG - Activity 148213: Initial number of options for activity = 28\n", - "2024-05-14 18:29:40,840 - acbm.assigning - DEBUG - Activity 148213: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:40,841 - acbm.assigning - DEBUG - Activity 148213: sampling based on floor area\n", - "2024-05-14 18:29:40,842 - acbm.assigning - DEBUG - Activity 148215: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,846 - acbm.assigning - DEBUG - Activity 148215: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,847 - acbm.assigning - DEBUG - Activity 148215: sampling based on floor area\n", - "2024-05-14 18:29:40,849 - acbm.assigning - DEBUG - Activity 148219: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,851 - acbm.assigning - DEBUG - Activity 148219: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,852 - acbm.assigning - DEBUG - Activity 148219: sampling based on floor area\n", - "2024-05-14 18:29:40,853 - acbm.assigning - DEBUG - Activity 148221: Initial number of options for activity = 20\n", - "2024-05-14 18:29:40,855 - acbm.assigning - DEBUG - Activity 148221: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:40,856 - acbm.assigning - DEBUG - Activity 148221: sampling based on floor area\n", - "2024-05-14 18:29:40,857 - acbm.assigning - DEBUG - Activity 148223: Initial number of options for activity = 28\n", - "2024-05-14 18:29:40,858 - acbm.assigning - DEBUG - Activity 148223: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:40,859 - acbm.assigning - DEBUG - Activity 148223: sampling based on floor area\n", - "2024-05-14 18:29:40,860 - acbm.assigning - DEBUG - Activity 148452: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,862 - acbm.assigning - DEBUG - Activity 148452: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,862 - acbm.assigning - DEBUG - Activity 148452: sampling based on floor area\n", - "2024-05-14 18:29:40,864 - acbm.assigning - DEBUG - Activity 148454: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,866 - acbm.assigning - DEBUG - Activity 148454: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,866 - acbm.assigning - DEBUG - Activity 148454: sampling based on floor area\n", - "2024-05-14 18:29:40,867 - acbm.assigning - DEBUG - Activity 148458: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,869 - acbm.assigning - DEBUG - Activity 148458: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,870 - acbm.assigning - DEBUG - Activity 148458: sampling based on floor area\n", - "2024-05-14 18:29:40,870 - acbm.assigning - DEBUG - Activity 148460: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,872 - acbm.assigning - DEBUG - Activity 148460: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,872 - acbm.assigning - DEBUG - Activity 148460: sampling based on floor area\n", - "2024-05-14 18:29:40,873 - acbm.assigning - DEBUG - Activity 148462: Initial number of options for activity = 87\n", - "2024-05-14 18:29:40,875 - acbm.assigning - DEBUG - Activity 148462: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:40,876 - acbm.assigning - DEBUG - Activity 148462: sampling based on floor area\n", - "2024-05-14 18:29:40,877 - acbm.assigning - INFO - Activity 148518: No zones available\n", - "2024-05-14 18:29:40,877 - acbm.assigning - INFO - Activity 148520: No zones available\n", - "2024-05-14 18:29:40,877 - acbm.assigning - INFO - Activity 148522: No zones available\n", - "2024-05-14 18:29:40,878 - acbm.assigning - INFO - Activity 148524: No zones available\n", - "2024-05-14 18:29:40,878 - acbm.assigning - DEBUG - Activity 148575: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,879 - acbm.assigning - DEBUG - Activity 148575: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,880 - acbm.assigning - DEBUG - Activity 148575: sampling based on floor area\n", - "2024-05-14 18:29:40,881 - acbm.assigning - INFO - Activity 148624: No zones available\n", - "2024-05-14 18:29:40,882 - acbm.assigning - DEBUG - Activity 148629: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,883 - acbm.assigning - DEBUG - Activity 148629: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,884 - acbm.assigning - DEBUG - Activity 148629: sampling based on floor area\n", - "2024-05-14 18:29:40,886 - acbm.assigning - DEBUG - Activity 148633: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,888 - acbm.assigning - DEBUG - Activity 148633: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,889 - acbm.assigning - DEBUG - Activity 148633: sampling based on floor area\n", - "2024-05-14 18:29:40,890 - acbm.assigning - DEBUG - Activity 148637: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,893 - acbm.assigning - DEBUG - Activity 148637: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,894 - acbm.assigning - DEBUG - Activity 148637: sampling based on floor area\n", - "2024-05-14 18:29:40,896 - acbm.assigning - DEBUG - Activity 148643: Initial number of options for activity = 34\n", - "2024-05-14 18:29:40,899 - acbm.assigning - DEBUG - Activity 148643: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:40,899 - acbm.assigning - DEBUG - Activity 148643: sampling based on floor area\n", - "2024-05-14 18:29:40,901 - acbm.assigning - INFO - Activity 148748: No zones available\n", - "2024-05-14 18:29:40,901 - acbm.assigning - DEBUG - Activity 148753: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,903 - acbm.assigning - DEBUG - Activity 148753: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,904 - acbm.assigning - DEBUG - Activity 148753: sampling based on floor area\n", - "2024-05-14 18:29:40,905 - acbm.assigning - INFO - Activity 148754: No zones available\n", - "2024-05-14 18:29:40,905 - acbm.assigning - INFO - Activity 148756: No zones available\n", - "2024-05-14 18:29:40,905 - acbm.assigning - INFO - Activity 148759: No zones available\n", - "2024-05-14 18:29:40,906 - acbm.assigning - DEBUG - Activity 148767: Initial number of options for activity = 29\n", - "2024-05-14 18:29:40,907 - acbm.assigning - DEBUG - Activity 148767: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:40,908 - acbm.assigning - DEBUG - Activity 148767: sampling based on floor area\n", - "2024-05-14 18:29:40,909 - acbm.assigning - DEBUG - Activity 148827: Initial number of options for activity = 76\n", - "2024-05-14 18:29:40,911 - acbm.assigning - DEBUG - Activity 148827: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:40,911 - acbm.assigning - DEBUG - Activity 148827: sampling based on floor area\n", - "2024-05-14 18:29:40,912 - acbm.assigning - DEBUG - Activity 148829: Initial number of options for activity = 76\n", - "2024-05-14 18:29:40,915 - acbm.assigning - DEBUG - Activity 148829: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:40,916 - acbm.assigning - DEBUG - Activity 148829: sampling based on floor area\n", - "2024-05-14 18:29:40,917 - acbm.assigning - DEBUG - Activity 148831: Initial number of options for activity = 76\n", - "2024-05-14 18:29:40,920 - acbm.assigning - DEBUG - Activity 148831: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:40,921 - acbm.assigning - DEBUG - Activity 148831: sampling based on floor area\n", - "2024-05-14 18:29:40,922 - acbm.assigning - DEBUG - Activity 148833: Initial number of options for activity = 76\n", - "2024-05-14 18:29:40,924 - acbm.assigning - DEBUG - Activity 148833: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:40,925 - acbm.assigning - DEBUG - Activity 148833: sampling based on floor area\n", - "2024-05-14 18:29:40,926 - acbm.assigning - DEBUG - Activity 148923: Initial number of options for activity = 75\n", - "2024-05-14 18:29:40,938 - acbm.assigning - DEBUG - Activity 148923: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:40,939 - acbm.assigning - DEBUG - Activity 148923: sampling based on floor area\n", - "2024-05-14 18:29:40,941 - acbm.assigning - DEBUG - Activity 148925: Initial number of options for activity = 75\n", - "2024-05-14 18:29:40,943 - acbm.assigning - DEBUG - Activity 148925: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:40,944 - acbm.assigning - DEBUG - Activity 148925: sampling based on floor area\n", - "2024-05-14 18:29:40,945 - acbm.assigning - DEBUG - Activity 148927: Initial number of options for activity = 75\n", - "2024-05-14 18:29:40,947 - acbm.assigning - DEBUG - Activity 148927: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:40,948 - acbm.assigning - DEBUG - Activity 148927: sampling based on floor area\n", - "2024-05-14 18:29:40,949 - acbm.assigning - DEBUG - Activity 148929: Initial number of options for activity = 75\n", - "2024-05-14 18:29:40,951 - acbm.assigning - DEBUG - Activity 148929: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:40,952 - acbm.assigning - DEBUG - Activity 148929: sampling based on floor area\n", - "2024-05-14 18:29:40,954 - acbm.assigning - DEBUG - Activity 148984: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,957 - acbm.assigning - DEBUG - Activity 148984: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,958 - acbm.assigning - DEBUG - Activity 148984: sampling based on floor area\n", - "2024-05-14 18:29:40,959 - acbm.assigning - DEBUG - Activity 148986: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,961 - acbm.assigning - DEBUG - Activity 148986: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,962 - acbm.assigning - DEBUG - Activity 148986: sampling based on floor area\n", - "2024-05-14 18:29:40,963 - acbm.assigning - DEBUG - Activity 148988: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,965 - acbm.assigning - DEBUG - Activity 148988: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,966 - acbm.assigning - DEBUG - Activity 148988: sampling based on floor area\n", - "2024-05-14 18:29:40,967 - acbm.assigning - DEBUG - Activity 148994: Initial number of options for activity = 2\n", - "2024-05-14 18:29:40,969 - acbm.assigning - DEBUG - Activity 148994: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:40,970 - acbm.assigning - DEBUG - Activity 148994: sampling based on floor area\n", - "2024-05-14 18:29:40,971 - acbm.assigning - DEBUG - Activity 149057: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,972 - acbm.assigning - DEBUG - Activity 149057: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,973 - acbm.assigning - DEBUG - Activity 149057: sampling based on floor area\n", - "2024-05-14 18:29:40,974 - acbm.assigning - DEBUG - Activity 149061: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,976 - acbm.assigning - DEBUG - Activity 149061: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:40,976 - acbm.assigning - DEBUG - Activity 149061: sampling based on floor area\n", - "2024-05-14 18:29:40,977 - acbm.assigning - DEBUG - Activity 149257: Initial number of options for activity = 124\n", - "2024-05-14 18:29:40,980 - acbm.assigning - DEBUG - Activity 149257: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:40,981 - acbm.assigning - DEBUG - Activity 149257: sampling based on floor area\n", - "2024-05-14 18:29:40,983 - acbm.assigning - DEBUG - Activity 149258: Initial number of options for activity = 24\n", - "2024-05-14 18:29:40,985 - acbm.assigning - DEBUG - Activity 149258: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:40,986 - acbm.assigning - DEBUG - Activity 149258: sampling based on floor area\n", - "2024-05-14 18:29:40,987 - acbm.assigning - DEBUG - Activity 149259: Initial number of options for activity = 147\n", - "2024-05-14 18:29:40,989 - acbm.assigning - DEBUG - Activity 149259: Number of options after filtering by education type: 147\n", - "2024-05-14 18:29:40,990 - acbm.assigning - DEBUG - Activity 149259: sampling based on floor area\n", - "2024-05-14 18:29:40,991 - acbm.assigning - DEBUG - Activity 149270: Initial number of options for activity = 24\n", - "2024-05-14 18:29:40,992 - acbm.assigning - DEBUG - Activity 149270: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:40,993 - acbm.assigning - DEBUG - Activity 149270: sampling based on floor area\n", - "2024-05-14 18:29:40,994 - acbm.assigning - DEBUG - Activity 149271: Initial number of options for activity = 182\n", - "2024-05-14 18:29:40,995 - acbm.assigning - DEBUG - Activity 149271: Number of options after filtering by education type: 182\n", - "2024-05-14 18:29:40,996 - acbm.assigning - DEBUG - Activity 149271: sampling based on floor area\n", - "2024-05-14 18:29:40,997 - acbm.assigning - DEBUG - Activity 149359: Initial number of options for activity = 1\n", - "2024-05-14 18:29:40,998 - acbm.assigning - DEBUG - Activity 149359: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,000 - acbm.assigning - DEBUG - Activity 149359: sampling based on floor area\n", - "2024-05-14 18:29:41,001 - acbm.assigning - DEBUG - Activity 149363: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,003 - acbm.assigning - DEBUG - Activity 149363: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,004 - acbm.assigning - DEBUG - Activity 149363: sampling based on floor area\n", - "2024-05-14 18:29:41,005 - acbm.assigning - DEBUG - Activity 149364: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,007 - acbm.assigning - DEBUG - Activity 149364: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,008 - acbm.assigning - DEBUG - Activity 149364: sampling based on floor area\n", - "2024-05-14 18:29:41,009 - acbm.assigning - DEBUG - Activity 149365: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,011 - acbm.assigning - DEBUG - Activity 149365: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,012 - acbm.assigning - DEBUG - Activity 149365: sampling based on floor area\n", - "2024-05-14 18:29:41,013 - acbm.assigning - DEBUG - Activity 149367: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,016 - acbm.assigning - DEBUG - Activity 149367: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,017 - acbm.assigning - DEBUG - Activity 149367: sampling based on floor area\n", - "2024-05-14 18:29:41,018 - acbm.assigning - DEBUG - Activity 149641: Initial number of options for activity = 61\n", - "2024-05-14 18:29:41,020 - acbm.assigning - DEBUG - Activity 149641: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:41,022 - acbm.assigning - DEBUG - Activity 149641: sampling based on floor area\n", - "2024-05-14 18:29:41,023 - acbm.assigning - DEBUG - Activity 149643: Initial number of options for activity = 61\n", - "2024-05-14 18:29:41,025 - acbm.assigning - DEBUG - Activity 149643: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:41,025 - acbm.assigning - DEBUG - Activity 149643: sampling based on floor area\n", - "2024-05-14 18:29:41,026 - acbm.assigning - DEBUG - Activity 149645: Initial number of options for activity = 61\n", - "2024-05-14 18:29:41,028 - acbm.assigning - DEBUG - Activity 149645: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:41,029 - acbm.assigning - DEBUG - Activity 149645: sampling based on floor area\n", - "2024-05-14 18:29:41,030 - acbm.assigning - DEBUG - Activity 149647: Initial number of options for activity = 61\n", - "2024-05-14 18:29:41,034 - acbm.assigning - DEBUG - Activity 149647: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:41,035 - acbm.assigning - DEBUG - Activity 149647: sampling based on floor area\n", - "2024-05-14 18:29:41,036 - acbm.assigning - INFO - Activity 149793: No zones available\n", - "2024-05-14 18:29:41,037 - acbm.assigning - INFO - Activity 149794: No zones available\n", - "2024-05-14 18:29:41,037 - acbm.assigning - INFO - Activity 149795: No zones available\n", - "2024-05-14 18:29:41,038 - acbm.assigning - DEBUG - Activity 149915: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,039 - acbm.assigning - DEBUG - Activity 149915: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,040 - acbm.assigning - DEBUG - Activity 149915: sampling based on floor area\n", - "2024-05-14 18:29:41,041 - acbm.assigning - DEBUG - Activity 150002: Initial number of options for activity = 75\n", - "2024-05-14 18:29:41,043 - acbm.assigning - DEBUG - Activity 150002: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:41,044 - acbm.assigning - DEBUG - Activity 150002: sampling based on floor area\n", - "2024-05-14 18:29:41,046 - acbm.assigning - DEBUG - Activity 150004: Initial number of options for activity = 75\n", - "2024-05-14 18:29:41,049 - acbm.assigning - DEBUG - Activity 150004: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:41,050 - acbm.assigning - DEBUG - Activity 150004: sampling based on floor area\n", - "2024-05-14 18:29:41,051 - acbm.assigning - DEBUG - Activity 150008: Initial number of options for activity = 75\n", - "2024-05-14 18:29:41,055 - acbm.assigning - DEBUG - Activity 150008: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:41,059 - acbm.assigning - DEBUG - Activity 150008: sampling based on floor area\n", - "2024-05-14 18:29:41,062 - acbm.assigning - DEBUG - Activity 150010: Initial number of options for activity = 75\n", - "2024-05-14 18:29:41,065 - acbm.assigning - DEBUG - Activity 150010: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:41,066 - acbm.assigning - DEBUG - Activity 150010: sampling based on floor area\n", - "2024-05-14 18:29:41,069 - acbm.assigning - DEBUG - Activity 150012: Initial number of options for activity = 75\n", - "2024-05-14 18:29:41,072 - acbm.assigning - DEBUG - Activity 150012: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:41,073 - acbm.assigning - DEBUG - Activity 150012: sampling based on floor area\n", - "2024-05-14 18:29:41,075 - acbm.assigning - INFO - Activity 150176: No zones available\n", - "2024-05-14 18:29:41,076 - acbm.assigning - INFO - Activity 150667: No zones available\n", - "2024-05-14 18:29:41,076 - acbm.assigning - DEBUG - Activity 150736: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,079 - acbm.assigning - DEBUG - Activity 150736: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,081 - acbm.assigning - DEBUG - Activity 150736: sampling based on floor area\n", - "2024-05-14 18:29:41,082 - acbm.assigning - DEBUG - Activity 150738: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,085 - acbm.assigning - DEBUG - Activity 150738: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,087 - acbm.assigning - DEBUG - Activity 150738: sampling based on floor area\n", - "2024-05-14 18:29:41,089 - acbm.assigning - DEBUG - Activity 150858: Initial number of options for activity = 77\n", - "2024-05-14 18:29:41,092 - acbm.assigning - DEBUG - Activity 150858: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:41,093 - acbm.assigning - DEBUG - Activity 150858: sampling based on floor area\n", - "2024-05-14 18:29:41,096 - acbm.assigning - DEBUG - Activity 150865: Initial number of options for activity = 77\n", - "2024-05-14 18:29:41,099 - acbm.assigning - DEBUG - Activity 150865: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:41,101 - acbm.assigning - DEBUG - Activity 150865: sampling based on floor area\n", - "2024-05-14 18:29:41,114 - acbm.assigning - DEBUG - Activity 150868: Initial number of options for activity = 77\n", - "2024-05-14 18:29:41,118 - acbm.assigning - DEBUG - Activity 150868: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:41,120 - acbm.assigning - DEBUG - Activity 150868: sampling based on floor area\n", - "2024-05-14 18:29:41,122 - acbm.assigning - DEBUG - Activity 150869: Initial number of options for activity = 77\n", - "2024-05-14 18:29:41,125 - acbm.assigning - DEBUG - Activity 150869: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:41,126 - acbm.assigning - DEBUG - Activity 150869: sampling based on floor area\n", - "2024-05-14 18:29:41,128 - acbm.assigning - DEBUG - Activity 150870: Initial number of options for activity = 77\n", - "2024-05-14 18:29:41,131 - acbm.assigning - DEBUG - Activity 150870: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:41,132 - acbm.assigning - DEBUG - Activity 150870: sampling based on floor area\n", - "2024-05-14 18:29:41,134 - acbm.assigning - DEBUG - Activity 150871: Initial number of options for activity = 152\n", - "2024-05-14 18:29:41,137 - acbm.assigning - DEBUG - Activity 150871: Number of options after filtering by education type: 152\n", - "2024-05-14 18:29:41,138 - acbm.assigning - DEBUG - Activity 150871: sampling based on floor area\n", - "2024-05-14 18:29:41,140 - acbm.assigning - DEBUG - Activity 150882: Initial number of options for activity = 152\n", - "2024-05-14 18:29:41,143 - acbm.assigning - DEBUG - Activity 150882: Number of options after filtering by education type: 152\n", - "2024-05-14 18:29:41,144 - acbm.assigning - DEBUG - Activity 150882: sampling based on floor area\n", - "2024-05-14 18:29:41,146 - acbm.assigning - DEBUG - Activity 150884: Initial number of options for activity = 152\n", - "2024-05-14 18:29:41,149 - acbm.assigning - DEBUG - Activity 150884: Number of options after filtering by education type: 152\n", - "2024-05-14 18:29:41,150 - acbm.assigning - DEBUG - Activity 150884: sampling based on floor area\n", - "2024-05-14 18:29:41,152 - acbm.assigning - DEBUG - Activity 150887: Initial number of options for activity = 152\n", - "2024-05-14 18:29:41,155 - acbm.assigning - DEBUG - Activity 150887: Number of options after filtering by education type: 152\n", - "2024-05-14 18:29:41,156 - acbm.assigning - DEBUG - Activity 150887: sampling based on floor area\n", - "2024-05-14 18:29:41,158 - acbm.assigning - DEBUG - Activity 150892: Initial number of options for activity = 152\n", - "2024-05-14 18:29:41,161 - acbm.assigning - DEBUG - Activity 150892: Number of options after filtering by education type: 152\n", - "2024-05-14 18:29:41,162 - acbm.assigning - DEBUG - Activity 150892: sampling based on floor area\n", - "2024-05-14 18:29:41,164 - acbm.assigning - DEBUG - Activity 150893: Initial number of options for activity = 27\n", - "2024-05-14 18:29:41,167 - acbm.assigning - DEBUG - Activity 150893: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:41,168 - acbm.assigning - DEBUG - Activity 150893: sampling based on floor area\n", - "2024-05-14 18:29:41,170 - acbm.assigning - DEBUG - Activity 150901: Initial number of options for activity = 27\n", - "2024-05-14 18:29:41,173 - acbm.assigning - DEBUG - Activity 150901: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:41,174 - acbm.assigning - DEBUG - Activity 150901: sampling based on floor area\n", - "2024-05-14 18:29:41,176 - acbm.assigning - DEBUG - Activity 150902: Initial number of options for activity = 27\n", - "2024-05-14 18:29:41,178 - acbm.assigning - DEBUG - Activity 150902: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:41,179 - acbm.assigning - DEBUG - Activity 150902: sampling based on floor area\n", - "2024-05-14 18:29:41,181 - acbm.assigning - DEBUG - Activity 150904: Initial number of options for activity = 27\n", - "2024-05-14 18:29:41,184 - acbm.assigning - DEBUG - Activity 150904: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:41,186 - acbm.assigning - DEBUG - Activity 150904: sampling based on floor area\n", - "2024-05-14 18:29:41,188 - acbm.assigning - DEBUG - Activity 150905: Initial number of options for activity = 27\n", - "2024-05-14 18:29:41,190 - acbm.assigning - DEBUG - Activity 150905: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:41,191 - acbm.assigning - DEBUG - Activity 150905: sampling based on floor area\n", - "2024-05-14 18:29:41,192 - acbm.assigning - DEBUG - Activity 150907: Initial number of options for activity = 56\n", - "2024-05-14 18:29:41,195 - acbm.assigning - DEBUG - Activity 150907: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:41,196 - acbm.assigning - DEBUG - Activity 150907: sampling based on floor area\n", - "2024-05-14 18:29:41,197 - acbm.assigning - DEBUG - Activity 150915: Initial number of options for activity = 56\n", - "2024-05-14 18:29:41,199 - acbm.assigning - DEBUG - Activity 150915: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:41,200 - acbm.assigning - DEBUG - Activity 150915: sampling based on floor area\n", - "2024-05-14 18:29:41,202 - acbm.assigning - DEBUG - Activity 150917: Initial number of options for activity = 56\n", - "2024-05-14 18:29:41,204 - acbm.assigning - DEBUG - Activity 150917: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:41,204 - acbm.assigning - DEBUG - Activity 150917: sampling based on floor area\n", - "2024-05-14 18:29:41,205 - acbm.assigning - DEBUG - Activity 150919: Initial number of options for activity = 56\n", - "2024-05-14 18:29:41,207 - acbm.assigning - DEBUG - Activity 150919: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:41,208 - acbm.assigning - DEBUG - Activity 150919: sampling based on floor area\n", - "2024-05-14 18:29:41,210 - acbm.assigning - DEBUG - Activity 150923: Initial number of options for activity = 56\n", - "2024-05-14 18:29:41,211 - acbm.assigning - DEBUG - Activity 150923: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:41,213 - acbm.assigning - DEBUG - Activity 150923: sampling based on floor area\n", - "2024-05-14 18:29:41,214 - acbm.assigning - DEBUG - Activity 150994: Initial number of options for activity = 158\n", - "2024-05-14 18:29:41,217 - acbm.assigning - DEBUG - Activity 150994: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:41,218 - acbm.assigning - DEBUG - Activity 150994: sampling based on floor area\n", - "2024-05-14 18:29:41,219 - acbm.assigning - DEBUG - Activity 150996: Initial number of options for activity = 158\n", - "2024-05-14 18:29:41,222 - acbm.assigning - DEBUG - Activity 150996: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:41,222 - acbm.assigning - DEBUG - Activity 150996: sampling based on floor area\n", - "2024-05-14 18:29:41,224 - acbm.assigning - DEBUG - Activity 150997: Initial number of options for activity = 158\n", - "2024-05-14 18:29:41,229 - acbm.assigning - DEBUG - Activity 150997: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:41,230 - acbm.assigning - DEBUG - Activity 150997: sampling based on floor area\n", - "2024-05-14 18:29:41,233 - acbm.assigning - DEBUG - Activity 151002: Initial number of options for activity = 158\n", - "2024-05-14 18:29:41,236 - acbm.assigning - DEBUG - Activity 151002: Number of options after filtering by education type: 158\n", - "2024-05-14 18:29:41,237 - acbm.assigning - DEBUG - Activity 151002: sampling based on floor area\n", - "2024-05-14 18:29:41,238 - acbm.assigning - DEBUG - Activity 151004: Initial number of options for activity = 135\n", - "2024-05-14 18:29:41,241 - acbm.assigning - DEBUG - Activity 151004: Number of options after filtering by education type: 135\n", - "2024-05-14 18:29:41,242 - acbm.assigning - DEBUG - Activity 151004: sampling based on floor area\n", - "2024-05-14 18:29:41,244 - acbm.assigning - DEBUG - Activity 151006: Initial number of options for activity = 135\n", - "2024-05-14 18:29:41,248 - acbm.assigning - DEBUG - Activity 151006: Number of options after filtering by education type: 135\n", - "2024-05-14 18:29:41,249 - acbm.assigning - DEBUG - Activity 151006: sampling based on floor area\n", - "2024-05-14 18:29:41,250 - acbm.assigning - DEBUG - Activity 151011: Initial number of options for activity = 135\n", - "2024-05-14 18:29:41,253 - acbm.assigning - DEBUG - Activity 151011: Number of options after filtering by education type: 135\n", - "2024-05-14 18:29:41,254 - acbm.assigning - DEBUG - Activity 151011: sampling based on floor area\n", - "2024-05-14 18:29:41,255 - acbm.assigning - DEBUG - Activity 151017: Initial number of options for activity = 135\n", - "2024-05-14 18:29:41,257 - acbm.assigning - DEBUG - Activity 151017: Number of options after filtering by education type: 135\n", - "2024-05-14 18:29:41,258 - acbm.assigning - DEBUG - Activity 151017: sampling based on floor area\n", - "2024-05-14 18:29:41,259 - acbm.assigning - DEBUG - Activity 151128: Initial number of options for activity = 18\n", - "2024-05-14 18:29:41,261 - acbm.assigning - DEBUG - Activity 151128: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:41,262 - acbm.assigning - DEBUG - Activity 151128: sampling based on floor area\n", - "2024-05-14 18:29:41,263 - acbm.assigning - DEBUG - Activity 151132: Initial number of options for activity = 18\n", - "2024-05-14 18:29:41,264 - acbm.assigning - DEBUG - Activity 151132: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:41,265 - acbm.assigning - DEBUG - Activity 151132: sampling based on floor area\n", - "2024-05-14 18:29:41,267 - acbm.assigning - DEBUG - Activity 151136: Initial number of options for activity = 18\n", - "2024-05-14 18:29:41,270 - acbm.assigning - DEBUG - Activity 151136: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:41,278 - acbm.assigning - DEBUG - Activity 151136: sampling based on floor area\n", - "2024-05-14 18:29:41,280 - acbm.assigning - DEBUG - Activity 151138: Initial number of options for activity = 18\n", - "2024-05-14 18:29:41,283 - acbm.assigning - DEBUG - Activity 151138: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:41,284 - acbm.assigning - DEBUG - Activity 151138: sampling based on floor area\n", - "2024-05-14 18:29:41,286 - acbm.assigning - DEBUG - Activity 151140: Initial number of options for activity = 18\n", - "2024-05-14 18:29:41,288 - acbm.assigning - DEBUG - Activity 151140: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:41,289 - acbm.assigning - DEBUG - Activity 151140: sampling based on floor area\n", - "2024-05-14 18:29:41,290 - acbm.assigning - INFO - Activity 151150: No zones available\n", - "2024-05-14 18:29:41,291 - acbm.assigning - INFO - Activity 151156: No zones available\n", - "2024-05-14 18:29:41,292 - acbm.assigning - INFO - Activity 151162: No zones available\n", - "2024-05-14 18:29:41,292 - acbm.assigning - DEBUG - Activity 151168: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,294 - acbm.assigning - DEBUG - Activity 151168: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,295 - acbm.assigning - DEBUG - Activity 151168: sampling based on floor area\n", - "2024-05-14 18:29:41,297 - acbm.assigning - DEBUG - Activity 151204: Initial number of options for activity = 85\n", - "2024-05-14 18:29:41,300 - acbm.assigning - DEBUG - Activity 151204: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:41,301 - acbm.assigning - DEBUG - Activity 151204: sampling based on floor area\n", - "2024-05-14 18:29:41,302 - acbm.assigning - DEBUG - Activity 151206: Initial number of options for activity = 85\n", - "2024-05-14 18:29:41,304 - acbm.assigning - DEBUG - Activity 151206: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:41,305 - acbm.assigning - DEBUG - Activity 151206: sampling based on floor area\n", - "2024-05-14 18:29:41,306 - acbm.assigning - DEBUG - Activity 151208: Initial number of options for activity = 85\n", - "2024-05-14 18:29:41,309 - acbm.assigning - DEBUG - Activity 151208: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:41,309 - acbm.assigning - DEBUG - Activity 151208: sampling based on floor area\n", - "2024-05-14 18:29:41,311 - acbm.assigning - DEBUG - Activity 151210: Initial number of options for activity = 85\n", - "2024-05-14 18:29:41,313 - acbm.assigning - DEBUG - Activity 151210: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:41,314 - acbm.assigning - DEBUG - Activity 151210: sampling based on floor area\n", - "2024-05-14 18:29:41,315 - acbm.assigning - DEBUG - Activity 151214: Initial number of options for activity = 85\n", - "2024-05-14 18:29:41,317 - acbm.assigning - DEBUG - Activity 151214: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:41,318 - acbm.assigning - DEBUG - Activity 151214: sampling based on floor area\n", - "2024-05-14 18:29:41,319 - acbm.assigning - INFO - Activity 151361: No zones available\n", - "2024-05-14 18:29:41,320 - acbm.assigning - INFO - Activity 151362: No zones available\n", - "2024-05-14 18:29:41,320 - acbm.assigning - DEBUG - Activity 151487: Initial number of options for activity = 4\n", - "2024-05-14 18:29:41,322 - acbm.assigning - DEBUG - Activity 151487: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:41,325 - acbm.assigning - DEBUG - Activity 151487: sampling based on floor area\n", - "2024-05-14 18:29:41,333 - acbm.assigning - DEBUG - Activity 151489: Initial number of options for activity = 4\n", - "2024-05-14 18:29:41,336 - acbm.assigning - DEBUG - Activity 151489: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:41,337 - acbm.assigning - DEBUG - Activity 151489: sampling based on floor area\n", - "2024-05-14 18:29:41,339 - acbm.assigning - DEBUG - Activity 151491: Initial number of options for activity = 3\n", - "2024-05-14 18:29:41,341 - acbm.assigning - DEBUG - Activity 151491: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:41,342 - acbm.assigning - DEBUG - Activity 151491: sampling based on floor area\n", - "2024-05-14 18:29:41,343 - acbm.assigning - DEBUG - Activity 151493: Initial number of options for activity = 3\n", - "2024-05-14 18:29:41,346 - acbm.assigning - DEBUG - Activity 151493: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:41,347 - acbm.assigning - DEBUG - Activity 151493: sampling based on floor area\n", - "2024-05-14 18:29:41,349 - acbm.assigning - DEBUG - Activity 151495: Initial number of options for activity = 4\n", - "2024-05-14 18:29:41,352 - acbm.assigning - DEBUG - Activity 151495: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:41,352 - acbm.assigning - DEBUG - Activity 151495: sampling based on floor area\n", - "2024-05-14 18:29:41,354 - acbm.assigning - DEBUG - Activity 151536: Initial number of options for activity = 86\n", - "2024-05-14 18:29:41,357 - acbm.assigning - DEBUG - Activity 151536: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:41,358 - acbm.assigning - DEBUG - Activity 151536: sampling based on floor area\n", - "2024-05-14 18:29:41,359 - acbm.assigning - DEBUG - Activity 151540: Initial number of options for activity = 86\n", - "2024-05-14 18:29:41,362 - acbm.assigning - DEBUG - Activity 151540: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:41,362 - acbm.assigning - DEBUG - Activity 151540: sampling based on floor area\n", - "2024-05-14 18:29:41,364 - acbm.assigning - DEBUG - Activity 151544: Initial number of options for activity = 86\n", - "2024-05-14 18:29:41,366 - acbm.assigning - DEBUG - Activity 151544: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:41,367 - acbm.assigning - DEBUG - Activity 151544: sampling based on floor area\n", - "2024-05-14 18:29:41,368 - acbm.assigning - DEBUG - Activity 151547: Initial number of options for activity = 86\n", - "2024-05-14 18:29:41,371 - acbm.assigning - DEBUG - Activity 151547: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:41,371 - acbm.assigning - DEBUG - Activity 151547: sampling based on floor area\n", - "2024-05-14 18:29:41,372 - acbm.assigning - DEBUG - Activity 151555: Initial number of options for activity = 86\n", - "2024-05-14 18:29:41,374 - acbm.assigning - DEBUG - Activity 151555: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:41,375 - acbm.assigning - DEBUG - Activity 151555: sampling based on floor area\n", - "2024-05-14 18:29:41,376 - acbm.assigning - DEBUG - Activity 151827: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,377 - acbm.assigning - DEBUG - Activity 151827: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,378 - acbm.assigning - DEBUG - Activity 151827: sampling based on floor area\n", - "2024-05-14 18:29:41,378 - acbm.assigning - DEBUG - Activity 151840: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,380 - acbm.assigning - DEBUG - Activity 151840: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,381 - acbm.assigning - DEBUG - Activity 151840: sampling based on floor area\n", - "2024-05-14 18:29:41,383 - acbm.assigning - DEBUG - Activity 151846: Initial number of options for activity = 2\n", - "2024-05-14 18:29:41,384 - acbm.assigning - DEBUG - Activity 151846: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:41,385 - acbm.assigning - DEBUG - Activity 151846: sampling based on floor area\n", - "2024-05-14 18:29:41,386 - acbm.assigning - INFO - Activity 152134: No zones available\n", - "2024-05-14 18:29:41,386 - acbm.assigning - INFO - Activity 152136: No zones available\n", - "2024-05-14 18:29:41,386 - acbm.assigning - INFO - Activity 152141: No zones available\n", - "2024-05-14 18:29:41,387 - acbm.assigning - INFO - Activity 152146: No zones available\n", - "2024-05-14 18:29:41,387 - acbm.assigning - INFO - Activity 152153: No zones available\n", - "2024-05-14 18:29:41,387 - acbm.assigning - DEBUG - Activity 152489: Initial number of options for activity = 153\n", - "2024-05-14 18:29:41,390 - acbm.assigning - DEBUG - Activity 152489: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:41,390 - acbm.assigning - DEBUG - Activity 152489: sampling based on floor area\n", - "2024-05-14 18:29:41,391 - acbm.assigning - DEBUG - Activity 152519: Initial number of options for activity = 56\n", - "2024-05-14 18:29:41,393 - acbm.assigning - DEBUG - Activity 152519: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:41,393 - acbm.assigning - DEBUG - Activity 152519: sampling based on floor area\n", - "2024-05-14 18:29:41,394 - acbm.assigning - INFO - Activity 152703: No zones available\n", - "2024-05-14 18:29:41,395 - acbm.assigning - INFO - Activity 152708: No zones available\n", - "2024-05-14 18:29:41,395 - acbm.assigning - INFO - Activity 152710: No zones available\n", - "2024-05-14 18:29:41,396 - acbm.assigning - INFO - Activity 152712: No zones available\n", - "2024-05-14 18:29:41,396 - acbm.assigning - DEBUG - Activity 152713: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,398 - acbm.assigning - DEBUG - Activity 152713: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,399 - acbm.assigning - DEBUG - Activity 152713: sampling based on floor area\n", - "2024-05-14 18:29:41,400 - acbm.assigning - DEBUG - Activity 152714: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,402 - acbm.assigning - DEBUG - Activity 152714: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,402 - acbm.assigning - DEBUG - Activity 152714: sampling based on floor area\n", - "2024-05-14 18:29:41,403 - acbm.assigning - DEBUG - Activity 152716: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,405 - acbm.assigning - DEBUG - Activity 152716: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,405 - acbm.assigning - DEBUG - Activity 152716: sampling based on floor area\n", - "2024-05-14 18:29:41,406 - acbm.assigning - DEBUG - Activity 152717: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,408 - acbm.assigning - DEBUG - Activity 152717: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,408 - acbm.assigning - DEBUG - Activity 152717: sampling based on floor area\n", - "2024-05-14 18:29:41,409 - acbm.assigning - DEBUG - Activity 152721: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,411 - acbm.assigning - DEBUG - Activity 152721: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,411 - acbm.assigning - DEBUG - Activity 152721: sampling based on floor area\n", - "2024-05-14 18:29:41,412 - acbm.assigning - DEBUG - Activity 152723: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,414 - acbm.assigning - DEBUG - Activity 152723: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,415 - acbm.assigning - DEBUG - Activity 152723: sampling based on floor area\n", - "2024-05-14 18:29:41,416 - acbm.assigning - DEBUG - Activity 152726: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,418 - acbm.assigning - DEBUG - Activity 152726: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,419 - acbm.assigning - DEBUG - Activity 152726: sampling based on floor area\n", - "2024-05-14 18:29:41,421 - acbm.assigning - DEBUG - Activity 152730: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,423 - acbm.assigning - DEBUG - Activity 152730: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,424 - acbm.assigning - DEBUG - Activity 152730: sampling based on floor area\n", - "2024-05-14 18:29:41,426 - acbm.assigning - DEBUG - Activity 152731: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,428 - acbm.assigning - DEBUG - Activity 152731: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,430 - acbm.assigning - DEBUG - Activity 152731: sampling based on floor area\n", - "2024-05-14 18:29:41,431 - acbm.assigning - DEBUG - Activity 152732: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,434 - acbm.assigning - DEBUG - Activity 152732: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,435 - acbm.assigning - DEBUG - Activity 152732: sampling based on floor area\n", - "2024-05-14 18:29:41,437 - acbm.assigning - DEBUG - Activity 152734: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,439 - acbm.assigning - DEBUG - Activity 152734: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,441 - acbm.assigning - DEBUG - Activity 152734: sampling based on floor area\n", - "2024-05-14 18:29:41,443 - acbm.assigning - DEBUG - Activity 152735: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,446 - acbm.assigning - DEBUG - Activity 152735: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,447 - acbm.assigning - DEBUG - Activity 152735: sampling based on floor area\n", - "2024-05-14 18:29:41,449 - acbm.assigning - DEBUG - Activity 152736: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,451 - acbm.assigning - DEBUG - Activity 152736: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,452 - acbm.assigning - DEBUG - Activity 152736: sampling based on floor area\n", - "2024-05-14 18:29:41,453 - acbm.assigning - DEBUG - Activity 152740: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,455 - acbm.assigning - DEBUG - Activity 152740: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,455 - acbm.assigning - DEBUG - Activity 152740: sampling based on floor area\n", - "2024-05-14 18:29:41,457 - acbm.assigning - DEBUG - Activity 152741: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,459 - acbm.assigning - DEBUG - Activity 152741: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,460 - acbm.assigning - DEBUG - Activity 152741: sampling based on floor area\n", - "2024-05-14 18:29:41,461 - acbm.assigning - DEBUG - Activity 152753: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,464 - acbm.assigning - DEBUG - Activity 152753: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,465 - acbm.assigning - DEBUG - Activity 152753: sampling based on floor area\n", - "2024-05-14 18:29:41,467 - acbm.assigning - DEBUG - Activity 152754: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,471 - acbm.assigning - DEBUG - Activity 152754: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,472 - acbm.assigning - DEBUG - Activity 152754: sampling based on floor area\n", - "2024-05-14 18:29:41,473 - acbm.assigning - DEBUG - Activity 152755: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,475 - acbm.assigning - DEBUG - Activity 152755: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,476 - acbm.assigning - DEBUG - Activity 152755: sampling based on floor area\n", - "2024-05-14 18:29:41,477 - acbm.assigning - DEBUG - Activity 152763: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,479 - acbm.assigning - DEBUG - Activity 152763: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,479 - acbm.assigning - DEBUG - Activity 152763: sampling based on floor area\n", - "2024-05-14 18:29:41,481 - acbm.assigning - DEBUG - Activity 152764: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,483 - acbm.assigning - DEBUG - Activity 152764: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,484 - acbm.assigning - DEBUG - Activity 152764: sampling based on floor area\n", - "2024-05-14 18:29:41,485 - acbm.assigning - DEBUG - Activity 152765: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,487 - acbm.assigning - DEBUG - Activity 152765: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,489 - acbm.assigning - DEBUG - Activity 152765: sampling based on floor area\n", - "2024-05-14 18:29:41,490 - acbm.assigning - DEBUG - Activity 152955: Initial number of options for activity = 140\n", - "2024-05-14 18:29:41,493 - acbm.assigning - DEBUG - Activity 152955: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:41,493 - acbm.assigning - DEBUG - Activity 152955: sampling based on floor area\n", - "2024-05-14 18:29:41,494 - acbm.assigning - DEBUG - Activity 152975: Initial number of options for activity = 140\n", - "2024-05-14 18:29:41,496 - acbm.assigning - DEBUG - Activity 152975: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:41,496 - acbm.assigning - DEBUG - Activity 152975: sampling based on floor area\n", - "2024-05-14 18:29:41,498 - acbm.assigning - DEBUG - Activity 152999: Initial number of options for activity = 23\n", - "2024-05-14 18:29:41,500 - acbm.assigning - DEBUG - Activity 152999: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:41,501 - acbm.assigning - DEBUG - Activity 152999: sampling based on floor area\n", - "2024-05-14 18:29:41,502 - acbm.assigning - DEBUG - Activity 153019: Initial number of options for activity = 49\n", - "2024-05-14 18:29:41,505 - acbm.assigning - DEBUG - Activity 153019: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:41,505 - acbm.assigning - DEBUG - Activity 153019: sampling based on floor area\n", - "2024-05-14 18:29:41,507 - acbm.assigning - DEBUG - Activity 153035: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,509 - acbm.assigning - DEBUG - Activity 153035: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,510 - acbm.assigning - DEBUG - Activity 153035: sampling based on floor area\n", - "2024-05-14 18:29:41,511 - acbm.assigning - DEBUG - Activity 153117: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,513 - acbm.assigning - DEBUG - Activity 153117: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,514 - acbm.assigning - DEBUG - Activity 153117: sampling based on floor area\n", - "2024-05-14 18:29:41,515 - acbm.assigning - DEBUG - Activity 153121: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,518 - acbm.assigning - DEBUG - Activity 153121: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,519 - acbm.assigning - DEBUG - Activity 153121: sampling based on floor area\n", - "2024-05-14 18:29:41,521 - acbm.assigning - DEBUG - Activity 153125: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,523 - acbm.assigning - DEBUG - Activity 153125: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,525 - acbm.assigning - DEBUG - Activity 153125: sampling based on floor area\n", - "2024-05-14 18:29:41,526 - acbm.assigning - DEBUG - Activity 153127: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,529 - acbm.assigning - DEBUG - Activity 153127: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,531 - acbm.assigning - DEBUG - Activity 153127: sampling based on floor area\n", - "2024-05-14 18:29:41,533 - acbm.assigning - DEBUG - Activity 153131: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,536 - acbm.assigning - DEBUG - Activity 153131: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,537 - acbm.assigning - DEBUG - Activity 153131: sampling based on floor area\n", - "2024-05-14 18:29:41,538 - acbm.assigning - DEBUG - Activity 153133: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,541 - acbm.assigning - DEBUG - Activity 153133: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,542 - acbm.assigning - DEBUG - Activity 153133: sampling based on floor area\n", - "2024-05-14 18:29:41,544 - acbm.assigning - DEBUG - Activity 153137: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,547 - acbm.assigning - DEBUG - Activity 153137: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,548 - acbm.assigning - DEBUG - Activity 153137: sampling based on floor area\n", - "2024-05-14 18:29:41,550 - acbm.assigning - DEBUG - Activity 153141: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,552 - acbm.assigning - DEBUG - Activity 153141: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,552 - acbm.assigning - DEBUG - Activity 153141: sampling based on floor area\n", - "2024-05-14 18:29:41,553 - acbm.assigning - DEBUG - Activity 153143: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,556 - acbm.assigning - DEBUG - Activity 153143: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,557 - acbm.assigning - DEBUG - Activity 153143: sampling based on floor area\n", - "2024-05-14 18:29:41,558 - acbm.assigning - DEBUG - Activity 153147: Initial number of options for activity = 30\n", - "2024-05-14 18:29:41,560 - acbm.assigning - DEBUG - Activity 153147: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:41,561 - acbm.assigning - DEBUG - Activity 153147: sampling based on floor area\n", - "2024-05-14 18:29:41,563 - acbm.assigning - DEBUG - Activity 153178: Initial number of options for activity = 63\n", - "2024-05-14 18:29:41,565 - acbm.assigning - DEBUG - Activity 153178: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:41,566 - acbm.assigning - DEBUG - Activity 153178: sampling based on floor area\n", - "2024-05-14 18:29:41,567 - acbm.assigning - DEBUG - Activity 153180: Initial number of options for activity = 63\n", - "2024-05-14 18:29:41,569 - acbm.assigning - DEBUG - Activity 153180: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:41,569 - acbm.assigning - DEBUG - Activity 153180: sampling based on floor area\n", - "2024-05-14 18:29:41,570 - acbm.assigning - DEBUG - Activity 153184: Initial number of options for activity = 63\n", - "2024-05-14 18:29:41,573 - acbm.assigning - DEBUG - Activity 153184: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:41,574 - acbm.assigning - DEBUG - Activity 153184: sampling based on floor area\n", - "2024-05-14 18:29:41,575 - acbm.assigning - DEBUG - Activity 153186: Initial number of options for activity = 63\n", - "2024-05-14 18:29:41,577 - acbm.assigning - DEBUG - Activity 153186: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:41,577 - acbm.assigning - DEBUG - Activity 153186: sampling based on floor area\n", - "2024-05-14 18:29:41,578 - acbm.assigning - DEBUG - Activity 153188: Initial number of options for activity = 63\n", - "2024-05-14 18:29:41,580 - acbm.assigning - DEBUG - Activity 153188: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:41,581 - acbm.assigning - DEBUG - Activity 153188: sampling based on floor area\n", - "2024-05-14 18:29:41,582 - acbm.assigning - DEBUG - Activity 153228: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,584 - acbm.assigning - DEBUG - Activity 153228: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,585 - acbm.assigning - DEBUG - Activity 153228: sampling based on floor area\n", - "2024-05-14 18:29:41,587 - acbm.assigning - DEBUG - Activity 153230: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,590 - acbm.assigning - DEBUG - Activity 153230: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,591 - acbm.assigning - DEBUG - Activity 153230: sampling based on floor area\n", - "2024-05-14 18:29:41,592 - acbm.assigning - DEBUG - Activity 153234: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,594 - acbm.assigning - DEBUG - Activity 153234: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,595 - acbm.assigning - DEBUG - Activity 153234: sampling based on floor area\n", - "2024-05-14 18:29:41,596 - acbm.assigning - DEBUG - Activity 153239: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,598 - acbm.assigning - DEBUG - Activity 153239: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,599 - acbm.assigning - DEBUG - Activity 153239: sampling based on floor area\n", - "2024-05-14 18:29:41,600 - acbm.assigning - DEBUG - Activity 153241: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,602 - acbm.assigning - DEBUG - Activity 153241: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,603 - acbm.assigning - DEBUG - Activity 153241: sampling based on floor area\n", - "2024-05-14 18:29:41,604 - acbm.assigning - DEBUG - Activity 153523: Initial number of options for activity = 40\n", - "2024-05-14 18:29:41,606 - acbm.assigning - DEBUG - Activity 153523: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:41,606 - acbm.assigning - DEBUG - Activity 153523: sampling based on floor area\n", - "2024-05-14 18:29:41,608 - acbm.assigning - DEBUG - Activity 153526: Initial number of options for activity = 41\n", - "2024-05-14 18:29:41,609 - acbm.assigning - DEBUG - Activity 153526: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:41,610 - acbm.assigning - DEBUG - Activity 153526: sampling based on floor area\n", - "2024-05-14 18:29:41,611 - acbm.assigning - DEBUG - Activity 153527: Initial number of options for activity = 25\n", - "2024-05-14 18:29:41,613 - acbm.assigning - DEBUG - Activity 153527: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:41,613 - acbm.assigning - DEBUG - Activity 153527: sampling based on floor area\n", - "2024-05-14 18:29:41,614 - acbm.assigning - DEBUG - Activity 153531: Initial number of options for activity = 28\n", - "2024-05-14 18:29:41,617 - acbm.assigning - DEBUG - Activity 153531: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:41,617 - acbm.assigning - DEBUG - Activity 153531: sampling based on floor area\n", - "2024-05-14 18:29:41,618 - acbm.assigning - DEBUG - Activity 153535: Initial number of options for activity = 10\n", - "2024-05-14 18:29:41,621 - acbm.assigning - DEBUG - Activity 153535: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:41,622 - acbm.assigning - DEBUG - Activity 153535: sampling based on floor area\n", - "2024-05-14 18:29:41,623 - acbm.assigning - DEBUG - Activity 153540: Initial number of options for activity = 18\n", - "2024-05-14 18:29:41,625 - acbm.assigning - DEBUG - Activity 153540: Number of options after filtering by education type: 18\n", - "2024-05-14 18:29:41,625 - acbm.assigning - DEBUG - Activity 153540: sampling based on floor area\n", - "2024-05-14 18:29:41,626 - acbm.assigning - DEBUG - Activity 153543: Initial number of options for activity = 15\n", - "2024-05-14 18:29:41,628 - acbm.assigning - DEBUG - Activity 153543: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:41,629 - acbm.assigning - DEBUG - Activity 153543: sampling based on floor area\n", - "2024-05-14 18:29:41,632 - acbm.assigning - DEBUG - Activity 153545: Initial number of options for activity = 16\n", - "2024-05-14 18:29:41,634 - acbm.assigning - DEBUG - Activity 153545: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:41,635 - acbm.assigning - DEBUG - Activity 153545: sampling based on floor area\n", - "2024-05-14 18:29:41,636 - acbm.assigning - DEBUG - Activity 153671: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,638 - acbm.assigning - DEBUG - Activity 153671: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,639 - acbm.assigning - DEBUG - Activity 153671: sampling based on floor area\n", - "2024-05-14 18:29:41,640 - acbm.assigning - DEBUG - Activity 153679: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,643 - acbm.assigning - DEBUG - Activity 153679: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,643 - acbm.assigning - DEBUG - Activity 153679: sampling based on floor area\n", - "2024-05-14 18:29:41,644 - acbm.assigning - INFO - Activity 153691: No zones available\n", - "2024-05-14 18:29:41,645 - acbm.assigning - DEBUG - Activity 153745: Initial number of options for activity = 6\n", - "2024-05-14 18:29:41,647 - acbm.assigning - DEBUG - Activity 153745: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:41,649 - acbm.assigning - DEBUG - Activity 153745: sampling based on floor area\n", - "2024-05-14 18:29:41,650 - acbm.assigning - DEBUG - Activity 153749: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,652 - acbm.assigning - DEBUG - Activity 153749: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,653 - acbm.assigning - DEBUG - Activity 153749: sampling based on floor area\n", - "2024-05-14 18:29:41,654 - acbm.assigning - DEBUG - Activity 153912: Initial number of options for activity = 88\n", - "2024-05-14 18:29:41,658 - acbm.assigning - DEBUG - Activity 153912: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:41,659 - acbm.assigning - DEBUG - Activity 153912: sampling based on floor area\n", - "2024-05-14 18:29:41,670 - acbm.assigning - DEBUG - Activity 153914: Initial number of options for activity = 5\n", - "2024-05-14 18:29:41,674 - acbm.assigning - DEBUG - Activity 153914: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:41,676 - acbm.assigning - DEBUG - Activity 153914: sampling based on floor area\n", - "2024-05-14 18:29:41,677 - acbm.assigning - DEBUG - Activity 153916: Initial number of options for activity = 14\n", - "2024-05-14 18:29:41,679 - acbm.assigning - DEBUG - Activity 153916: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:41,680 - acbm.assigning - DEBUG - Activity 153916: sampling based on floor area\n", - "2024-05-14 18:29:41,682 - acbm.assigning - DEBUG - Activity 153918: Initial number of options for activity = 5\n", - "2024-05-14 18:29:41,684 - acbm.assigning - DEBUG - Activity 153918: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:41,685 - acbm.assigning - DEBUG - Activity 153918: sampling based on floor area\n", - "2024-05-14 18:29:41,686 - acbm.assigning - DEBUG - Activity 153920: Initial number of options for activity = 5\n", - "2024-05-14 18:29:41,688 - acbm.assigning - DEBUG - Activity 153920: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:41,689 - acbm.assigning - DEBUG - Activity 153920: sampling based on floor area\n", - "2024-05-14 18:29:41,690 - acbm.assigning - DEBUG - Activity 154116: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,692 - acbm.assigning - DEBUG - Activity 154116: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,693 - acbm.assigning - DEBUG - Activity 154116: sampling based on floor area\n", - "2024-05-14 18:29:41,694 - acbm.assigning - DEBUG - Activity 154209: Initial number of options for activity = 64\n", - "2024-05-14 18:29:41,696 - acbm.assigning - DEBUG - Activity 154209: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:41,696 - acbm.assigning - DEBUG - Activity 154209: sampling based on floor area\n", - "2024-05-14 18:29:41,697 - acbm.assigning - DEBUG - Activity 154211: Initial number of options for activity = 64\n", - "2024-05-14 18:29:41,699 - acbm.assigning - DEBUG - Activity 154211: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:41,699 - acbm.assigning - DEBUG - Activity 154211: sampling based on floor area\n", - "2024-05-14 18:29:41,701 - acbm.assigning - DEBUG - Activity 154215: Initial number of options for activity = 64\n", - "2024-05-14 18:29:41,702 - acbm.assigning - DEBUG - Activity 154215: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:41,703 - acbm.assigning - DEBUG - Activity 154215: sampling based on floor area\n", - "2024-05-14 18:29:41,704 - acbm.assigning - DEBUG - Activity 154217: Initial number of options for activity = 64\n", - "2024-05-14 18:29:41,707 - acbm.assigning - DEBUG - Activity 154217: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:41,708 - acbm.assigning - DEBUG - Activity 154217: sampling based on floor area\n", - "2024-05-14 18:29:41,710 - acbm.assigning - DEBUG - Activity 154219: Initial number of options for activity = 64\n", - "2024-05-14 18:29:41,712 - acbm.assigning - DEBUG - Activity 154219: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:41,713 - acbm.assigning - DEBUG - Activity 154219: sampling based on floor area\n", - "2024-05-14 18:29:41,714 - acbm.assigning - DEBUG - Activity 154261: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,717 - acbm.assigning - DEBUG - Activity 154261: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,717 - acbm.assigning - DEBUG - Activity 154261: sampling based on floor area\n", - "2024-05-14 18:29:41,719 - acbm.assigning - DEBUG - Activity 154528: Initial number of options for activity = 148\n", - "2024-05-14 18:29:41,721 - acbm.assigning - DEBUG - Activity 154528: Number of options after filtering by education type: 148\n", - "2024-05-14 18:29:41,722 - acbm.assigning - DEBUG - Activity 154528: sampling based on floor area\n", - "2024-05-14 18:29:41,723 - acbm.assigning - DEBUG - Activity 154532: Initial number of options for activity = 33\n", - "2024-05-14 18:29:41,727 - acbm.assigning - DEBUG - Activity 154532: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:41,734 - acbm.assigning - DEBUG - Activity 154532: sampling based on floor area\n", - "2024-05-14 18:29:41,736 - acbm.assigning - DEBUG - Activity 154534: Initial number of options for activity = 57\n", - "2024-05-14 18:29:41,738 - acbm.assigning - DEBUG - Activity 154534: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:41,742 - acbm.assigning - DEBUG - Activity 154534: sampling based on floor area\n", - "2024-05-14 18:29:41,743 - acbm.assigning - DEBUG - Activity 154535: Initial number of options for activity = 57\n", - "2024-05-14 18:29:41,745 - acbm.assigning - DEBUG - Activity 154535: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:41,746 - acbm.assigning - DEBUG - Activity 154535: sampling based on floor area\n", - "2024-05-14 18:29:41,748 - acbm.assigning - DEBUG - Activity 154536: Initial number of options for activity = 57\n", - "2024-05-14 18:29:41,750 - acbm.assigning - DEBUG - Activity 154536: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:41,751 - acbm.assigning - DEBUG - Activity 154536: sampling based on floor area\n", - "2024-05-14 18:29:41,752 - acbm.assigning - DEBUG - Activity 154540: Initial number of options for activity = 25\n", - "2024-05-14 18:29:41,754 - acbm.assigning - DEBUG - Activity 154540: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:41,755 - acbm.assigning - DEBUG - Activity 154540: sampling based on floor area\n", - "2024-05-14 18:29:41,756 - acbm.assigning - DEBUG - Activity 154542: Initial number of options for activity = 16\n", - "2024-05-14 18:29:41,758 - acbm.assigning - DEBUG - Activity 154542: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:41,758 - acbm.assigning - DEBUG - Activity 154542: sampling based on floor area\n", - "2024-05-14 18:29:41,759 - acbm.assigning - DEBUG - Activity 154543: Initial number of options for activity = 25\n", - "2024-05-14 18:29:41,761 - acbm.assigning - DEBUG - Activity 154543: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:41,762 - acbm.assigning - DEBUG - Activity 154543: sampling based on floor area\n", - "2024-05-14 18:29:41,763 - acbm.assigning - DEBUG - Activity 154548: Initial number of options for activity = 60\n", - "2024-05-14 18:29:41,766 - acbm.assigning - DEBUG - Activity 154548: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:41,766 - acbm.assigning - DEBUG - Activity 154548: sampling based on floor area\n", - "2024-05-14 18:29:41,768 - acbm.assigning - DEBUG - Activity 154550: Initial number of options for activity = 25\n", - "2024-05-14 18:29:41,771 - acbm.assigning - DEBUG - Activity 154550: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:41,772 - acbm.assigning - DEBUG - Activity 154550: sampling based on floor area\n", - "2024-05-14 18:29:41,773 - acbm.assigning - DEBUG - Activity 154617: Initial number of options for activity = 10\n", - "2024-05-14 18:29:41,775 - acbm.assigning - DEBUG - Activity 154617: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:41,776 - acbm.assigning - DEBUG - Activity 154617: sampling based on floor area\n", - "2024-05-14 18:29:41,777 - acbm.assigning - DEBUG - Activity 154623: Initial number of options for activity = 10\n", - "2024-05-14 18:29:41,779 - acbm.assigning - DEBUG - Activity 154623: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:41,779 - acbm.assigning - DEBUG - Activity 154623: sampling based on floor area\n", - "2024-05-14 18:29:41,781 - acbm.assigning - DEBUG - Activity 154629: Initial number of options for activity = 10\n", - "2024-05-14 18:29:41,783 - acbm.assigning - DEBUG - Activity 154629: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:41,784 - acbm.assigning - DEBUG - Activity 154629: sampling based on floor area\n", - "2024-05-14 18:29:41,785 - acbm.assigning - DEBUG - Activity 154632: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,788 - acbm.assigning - DEBUG - Activity 154632: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,789 - acbm.assigning - DEBUG - Activity 154632: sampling based on floor area\n", - "2024-05-14 18:29:41,791 - acbm.assigning - DEBUG - Activity 154634: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,793 - acbm.assigning - DEBUG - Activity 154634: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,794 - acbm.assigning - DEBUG - Activity 154634: sampling based on floor area\n", - "2024-05-14 18:29:41,795 - acbm.assigning - DEBUG - Activity 154637: Initial number of options for activity = 10\n", - "2024-05-14 18:29:41,797 - acbm.assigning - DEBUG - Activity 154637: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:41,798 - acbm.assigning - DEBUG - Activity 154637: sampling based on floor area\n", - "2024-05-14 18:29:41,799 - acbm.assigning - DEBUG - Activity 154638: Initial number of options for activity = 10\n", - "2024-05-14 18:29:41,801 - acbm.assigning - DEBUG - Activity 154638: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:41,803 - acbm.assigning - DEBUG - Activity 154638: sampling based on floor area\n", - "2024-05-14 18:29:41,804 - acbm.assigning - DEBUG - Activity 154642: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,806 - acbm.assigning - DEBUG - Activity 154642: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,807 - acbm.assigning - DEBUG - Activity 154642: sampling based on floor area\n", - "2024-05-14 18:29:41,809 - acbm.assigning - DEBUG - Activity 154643: Initial number of options for activity = 10\n", - "2024-05-14 18:29:41,811 - acbm.assigning - DEBUG - Activity 154643: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:41,812 - acbm.assigning - DEBUG - Activity 154643: sampling based on floor area\n", - "2024-05-14 18:29:41,813 - acbm.assigning - DEBUG - Activity 154649: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,815 - acbm.assigning - DEBUG - Activity 154649: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,816 - acbm.assigning - DEBUG - Activity 154649: sampling based on floor area\n", - "2024-05-14 18:29:41,818 - acbm.assigning - DEBUG - Activity 154738: Initial number of options for activity = 71\n", - "2024-05-14 18:29:41,821 - acbm.assigning - DEBUG - Activity 154738: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:41,822 - acbm.assigning - DEBUG - Activity 154738: sampling based on floor area\n", - "2024-05-14 18:29:41,824 - acbm.assigning - DEBUG - Activity 154741: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,828 - acbm.assigning - DEBUG - Activity 154741: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,831 - acbm.assigning - DEBUG - Activity 154741: sampling based on floor area\n", - "2024-05-14 18:29:41,832 - acbm.assigning - DEBUG - Activity 154745: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,835 - acbm.assigning - DEBUG - Activity 154745: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,836 - acbm.assigning - DEBUG - Activity 154745: sampling based on floor area\n", - "2024-05-14 18:29:41,837 - acbm.assigning - DEBUG - Activity 154753: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,839 - acbm.assigning - DEBUG - Activity 154753: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,840 - acbm.assigning - DEBUG - Activity 154753: sampling based on floor area\n", - "2024-05-14 18:29:41,841 - acbm.assigning - DEBUG - Activity 154757: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,844 - acbm.assigning - DEBUG - Activity 154757: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,845 - acbm.assigning - DEBUG - Activity 154757: sampling based on floor area\n", - "2024-05-14 18:29:41,846 - acbm.assigning - DEBUG - Activity 154759: Initial number of options for activity = 71\n", - "2024-05-14 18:29:41,849 - acbm.assigning - DEBUG - Activity 154759: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:41,851 - acbm.assigning - DEBUG - Activity 154759: sampling based on floor area\n", - "2024-05-14 18:29:41,853 - acbm.assigning - DEBUG - Activity 154762: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,855 - acbm.assigning - DEBUG - Activity 154762: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,858 - acbm.assigning - DEBUG - Activity 154762: sampling based on floor area\n", - "2024-05-14 18:29:41,860 - acbm.assigning - DEBUG - Activity 154764: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,863 - acbm.assigning - DEBUG - Activity 154764: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,863 - acbm.assigning - DEBUG - Activity 154764: sampling based on floor area\n", - "2024-05-14 18:29:41,865 - acbm.assigning - DEBUG - Activity 154772: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,867 - acbm.assigning - DEBUG - Activity 154772: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,868 - acbm.assigning - DEBUG - Activity 154772: sampling based on floor area\n", - "2024-05-14 18:29:41,869 - acbm.assigning - DEBUG - Activity 154776: Initial number of options for activity = 32\n", - "2024-05-14 18:29:41,871 - acbm.assigning - DEBUG - Activity 154776: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:41,873 - acbm.assigning - DEBUG - Activity 154776: sampling based on floor area\n", - "2024-05-14 18:29:41,874 - acbm.assigning - DEBUG - Activity 154848: Initial number of options for activity = 102\n", - "2024-05-14 18:29:41,878 - acbm.assigning - DEBUG - Activity 154848: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:41,879 - acbm.assigning - DEBUG - Activity 154848: sampling based on floor area\n", - "2024-05-14 18:29:41,881 - acbm.assigning - DEBUG - Activity 154850: Initial number of options for activity = 102\n", - "2024-05-14 18:29:41,883 - acbm.assigning - DEBUG - Activity 154850: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:41,884 - acbm.assigning - DEBUG - Activity 154850: sampling based on floor area\n", - "2024-05-14 18:29:41,886 - acbm.assigning - DEBUG - Activity 154852: Initial number of options for activity = 102\n", - "2024-05-14 18:29:41,889 - acbm.assigning - DEBUG - Activity 154852: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:41,891 - acbm.assigning - DEBUG - Activity 154852: sampling based on floor area\n", - "2024-05-14 18:29:41,892 - acbm.assigning - DEBUG - Activity 154854: Initial number of options for activity = 102\n", - "2024-05-14 18:29:41,896 - acbm.assigning - DEBUG - Activity 154854: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:41,897 - acbm.assigning - DEBUG - Activity 154854: sampling based on floor area\n", - "2024-05-14 18:29:41,898 - acbm.assigning - DEBUG - Activity 155068: Initial number of options for activity = 5\n", - "2024-05-14 18:29:41,901 - acbm.assigning - DEBUG - Activity 155068: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:41,902 - acbm.assigning - DEBUG - Activity 155068: sampling based on floor area\n", - "2024-05-14 18:29:41,903 - acbm.assigning - DEBUG - Activity 155070: Initial number of options for activity = 7\n", - "2024-05-14 18:29:41,905 - acbm.assigning - DEBUG - Activity 155070: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:41,905 - acbm.assigning - DEBUG - Activity 155070: sampling based on floor area\n", - "2024-05-14 18:29:41,907 - acbm.assigning - DEBUG - Activity 155072: Initial number of options for activity = 9\n", - "2024-05-14 18:29:41,909 - acbm.assigning - DEBUG - Activity 155072: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:41,910 - acbm.assigning - DEBUG - Activity 155072: sampling based on floor area\n", - "2024-05-14 18:29:41,911 - acbm.assigning - DEBUG - Activity 155076: Initial number of options for activity = 35\n", - "2024-05-14 18:29:41,913 - acbm.assigning - DEBUG - Activity 155076: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:41,914 - acbm.assigning - DEBUG - Activity 155076: sampling based on floor area\n", - "2024-05-14 18:29:41,915 - acbm.assigning - DEBUG - Activity 155078: Initial number of options for activity = 26\n", - "2024-05-14 18:29:41,918 - acbm.assigning - DEBUG - Activity 155078: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:41,919 - acbm.assigning - DEBUG - Activity 155078: sampling based on floor area\n", - "2024-05-14 18:29:41,920 - acbm.assigning - DEBUG - Activity 155079: Initial number of options for activity = 157\n", - "2024-05-14 18:29:41,922 - acbm.assigning - DEBUG - Activity 155079: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:41,923 - acbm.assigning - DEBUG - Activity 155079: sampling based on floor area\n", - "2024-05-14 18:29:41,924 - acbm.assigning - DEBUG - Activity 155180: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,927 - acbm.assigning - DEBUG - Activity 155180: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,928 - acbm.assigning - DEBUG - Activity 155180: sampling based on floor area\n", - "2024-05-14 18:29:41,930 - acbm.assigning - DEBUG - Activity 155182: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,932 - acbm.assigning - DEBUG - Activity 155182: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,942 - acbm.assigning - DEBUG - Activity 155182: sampling based on floor area\n", - "2024-05-14 18:29:41,944 - acbm.assigning - DEBUG - Activity 155186: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,946 - acbm.assigning - DEBUG - Activity 155186: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,948 - acbm.assigning - DEBUG - Activity 155186: sampling based on floor area\n", - "2024-05-14 18:29:41,950 - acbm.assigning - DEBUG - Activity 155188: Initial number of options for activity = 1\n", - "2024-05-14 18:29:41,952 - acbm.assigning - DEBUG - Activity 155188: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:41,953 - acbm.assigning - DEBUG - Activity 155188: sampling based on floor area\n", - "2024-05-14 18:29:41,954 - acbm.assigning - INFO - Activity 155321: No zones available\n", - "2024-05-14 18:29:41,955 - acbm.assigning - INFO - Activity 155379: No zones available\n", - "2024-05-14 18:29:41,956 - acbm.assigning - INFO - Activity 155380: No zones available\n", - "2024-05-14 18:29:41,956 - acbm.assigning - INFO - Activity 155383: No zones available\n", - "2024-05-14 18:29:41,956 - acbm.assigning - INFO - Activity 155390: No zones available\n", - "2024-05-14 18:29:41,957 - acbm.assigning - DEBUG - Activity 155532: Initial number of options for activity = 43\n", - "2024-05-14 18:29:41,959 - acbm.assigning - DEBUG - Activity 155532: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:41,959 - acbm.assigning - DEBUG - Activity 155532: sampling based on floor area\n", - "2024-05-14 18:29:41,960 - acbm.assigning - DEBUG - Activity 155534: Initial number of options for activity = 43\n", - "2024-05-14 18:29:41,962 - acbm.assigning - DEBUG - Activity 155534: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:41,963 - acbm.assigning - DEBUG - Activity 155534: sampling based on floor area\n", - "2024-05-14 18:29:41,964 - acbm.assigning - DEBUG - Activity 155536: Initial number of options for activity = 43\n", - "2024-05-14 18:29:41,966 - acbm.assigning - DEBUG - Activity 155536: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:41,967 - acbm.assigning - DEBUG - Activity 155536: sampling based on floor area\n", - "2024-05-14 18:29:41,968 - acbm.assigning - DEBUG - Activity 155538: Initial number of options for activity = 43\n", - "2024-05-14 18:29:41,971 - acbm.assigning - DEBUG - Activity 155538: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:41,972 - acbm.assigning - DEBUG - Activity 155538: sampling based on floor area\n", - "2024-05-14 18:29:41,973 - acbm.assigning - DEBUG - Activity 155597: Initial number of options for activity = 38\n", - "2024-05-14 18:29:41,976 - acbm.assigning - DEBUG - Activity 155597: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:41,976 - acbm.assigning - DEBUG - Activity 155597: sampling based on floor area\n", - "2024-05-14 18:29:41,977 - acbm.assigning - DEBUG - Activity 155599: Initial number of options for activity = 38\n", - "2024-05-14 18:29:41,980 - acbm.assigning - DEBUG - Activity 155599: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:41,981 - acbm.assigning - DEBUG - Activity 155599: sampling based on floor area\n", - "2024-05-14 18:29:41,982 - acbm.assigning - DEBUG - Activity 155601: Initial number of options for activity = 38\n", - "2024-05-14 18:29:41,984 - acbm.assigning - DEBUG - Activity 155601: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:41,986 - acbm.assigning - DEBUG - Activity 155601: sampling based on floor area\n", - "2024-05-14 18:29:41,987 - acbm.assigning - DEBUG - Activity 155603: Initial number of options for activity = 38\n", - "2024-05-14 18:29:41,991 - acbm.assigning - DEBUG - Activity 155603: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:41,992 - acbm.assigning - DEBUG - Activity 155603: sampling based on floor area\n", - "2024-05-14 18:29:41,994 - acbm.assigning - DEBUG - Activity 155649: Initial number of options for activity = 42\n", - "2024-05-14 18:29:41,996 - acbm.assigning - DEBUG - Activity 155649: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:41,997 - acbm.assigning - DEBUG - Activity 155649: sampling based on floor area\n", - "2024-05-14 18:29:41,999 - acbm.assigning - DEBUG - Activity 155652: Initial number of options for activity = 42\n", - "2024-05-14 18:29:42,002 - acbm.assigning - DEBUG - Activity 155652: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:42,003 - acbm.assigning - DEBUG - Activity 155652: sampling based on floor area\n", - "2024-05-14 18:29:42,005 - acbm.assigning - DEBUG - Activity 155771: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,007 - acbm.assigning - DEBUG - Activity 155771: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,009 - acbm.assigning - DEBUG - Activity 155771: sampling based on floor area\n", - "2024-05-14 18:29:42,011 - acbm.assigning - DEBUG - Activity 155773: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,013 - acbm.assigning - DEBUG - Activity 155773: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,014 - acbm.assigning - DEBUG - Activity 155773: sampling based on floor area\n", - "2024-05-14 18:29:42,015 - acbm.assigning - DEBUG - Activity 155775: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,017 - acbm.assigning - DEBUG - Activity 155775: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,018 - acbm.assigning - DEBUG - Activity 155775: sampling based on floor area\n", - "2024-05-14 18:29:42,019 - acbm.assigning - DEBUG - Activity 155777: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,021 - acbm.assigning - DEBUG - Activity 155777: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,022 - acbm.assigning - DEBUG - Activity 155777: sampling based on floor area\n", - "2024-05-14 18:29:42,023 - acbm.assigning - DEBUG - Activity 156028: Initial number of options for activity = 30\n", - "2024-05-14 18:29:42,025 - acbm.assigning - DEBUG - Activity 156028: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:42,027 - acbm.assigning - DEBUG - Activity 156028: sampling based on floor area\n", - "2024-05-14 18:29:42,028 - acbm.assigning - DEBUG - Activity 156030: Initial number of options for activity = 30\n", - "2024-05-14 18:29:42,031 - acbm.assigning - DEBUG - Activity 156030: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:42,032 - acbm.assigning - DEBUG - Activity 156030: sampling based on floor area\n", - "2024-05-14 18:29:42,033 - acbm.assigning - DEBUG - Activity 156032: Initial number of options for activity = 30\n", - "2024-05-14 18:29:42,035 - acbm.assigning - DEBUG - Activity 156032: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:42,036 - acbm.assigning - DEBUG - Activity 156032: sampling based on floor area\n", - "2024-05-14 18:29:42,038 - acbm.assigning - DEBUG - Activity 156034: Initial number of options for activity = 30\n", - "2024-05-14 18:29:42,040 - acbm.assigning - DEBUG - Activity 156034: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:42,041 - acbm.assigning - DEBUG - Activity 156034: sampling based on floor area\n", - "2024-05-14 18:29:42,042 - acbm.assigning - DEBUG - Activity 156036: Initial number of options for activity = 30\n", - "2024-05-14 18:29:42,044 - acbm.assigning - DEBUG - Activity 156036: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:42,054 - acbm.assigning - DEBUG - Activity 156036: sampling based on floor area\n", - "2024-05-14 18:29:42,056 - acbm.assigning - DEBUG - Activity 156126: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,059 - acbm.assigning - DEBUG - Activity 156126: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,060 - acbm.assigning - DEBUG - Activity 156126: sampling based on floor area\n", - "2024-05-14 18:29:42,062 - acbm.assigning - DEBUG - Activity 156140: Initial number of options for activity = 16\n", - "2024-05-14 18:29:42,064 - acbm.assigning - DEBUG - Activity 156140: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:42,066 - acbm.assigning - DEBUG - Activity 156140: sampling based on floor area\n", - "2024-05-14 18:29:42,067 - acbm.assigning - INFO - Activity 156426: No zones available\n", - "2024-05-14 18:29:42,070 - acbm.assigning - INFO - Activity 156430: No zones available\n", - "2024-05-14 18:29:42,071 - acbm.assigning - INFO - Activity 156431: No zones available\n", - "2024-05-14 18:29:42,073 - acbm.assigning - INFO - Activity 156628: No zones available\n", - "2024-05-14 18:29:42,074 - acbm.assigning - DEBUG - Activity 156729: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,076 - acbm.assigning - DEBUG - Activity 156729: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,077 - acbm.assigning - DEBUG - Activity 156729: sampling based on floor area\n", - "2024-05-14 18:29:42,079 - acbm.assigning - DEBUG - Activity 156731: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,080 - acbm.assigning - DEBUG - Activity 156731: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,081 - acbm.assigning - DEBUG - Activity 156731: sampling based on floor area\n", - "2024-05-14 18:29:42,083 - acbm.assigning - DEBUG - Activity 156735: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,085 - acbm.assigning - DEBUG - Activity 156735: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,086 - acbm.assigning - DEBUG - Activity 156735: sampling based on floor area\n", - "2024-05-14 18:29:42,088 - acbm.assigning - DEBUG - Activity 156737: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,091 - acbm.assigning - DEBUG - Activity 156737: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,092 - acbm.assigning - DEBUG - Activity 156737: sampling based on floor area\n", - "2024-05-14 18:29:42,093 - acbm.assigning - DEBUG - Activity 156739: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,096 - acbm.assigning - DEBUG - Activity 156739: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,097 - acbm.assigning - DEBUG - Activity 156739: sampling based on floor area\n", - "2024-05-14 18:29:42,098 - acbm.assigning - DEBUG - Activity 157034: Initial number of options for activity = 51\n", - "2024-05-14 18:29:42,101 - acbm.assigning - DEBUG - Activity 157034: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:42,102 - acbm.assigning - DEBUG - Activity 157034: sampling based on floor area\n", - "2024-05-14 18:29:42,103 - acbm.assigning - DEBUG - Activity 157036: Initial number of options for activity = 51\n", - "2024-05-14 18:29:42,105 - acbm.assigning - DEBUG - Activity 157036: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:42,106 - acbm.assigning - DEBUG - Activity 157036: sampling based on floor area\n", - "2024-05-14 18:29:42,107 - acbm.assigning - DEBUG - Activity 157040: Initial number of options for activity = 51\n", - "2024-05-14 18:29:42,109 - acbm.assigning - DEBUG - Activity 157040: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:42,110 - acbm.assigning - DEBUG - Activity 157040: sampling based on floor area\n", - "2024-05-14 18:29:42,111 - acbm.assigning - DEBUG - Activity 157042: Initial number of options for activity = 51\n", - "2024-05-14 18:29:42,113 - acbm.assigning - DEBUG - Activity 157042: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:42,114 - acbm.assigning - DEBUG - Activity 157042: sampling based on floor area\n", - "2024-05-14 18:29:42,116 - acbm.assigning - DEBUG - Activity 157044: Initial number of options for activity = 51\n", - "2024-05-14 18:29:42,119 - acbm.assigning - DEBUG - Activity 157044: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:42,120 - acbm.assigning - DEBUG - Activity 157044: sampling based on floor area\n", - "2024-05-14 18:29:42,121 - acbm.assigning - DEBUG - Activity 157123: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,122 - acbm.assigning - DEBUG - Activity 157123: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,127 - acbm.assigning - DEBUG - Activity 157123: sampling based on floor area\n", - "2024-05-14 18:29:42,129 - acbm.assigning - DEBUG - Activity 157129: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,132 - acbm.assigning - DEBUG - Activity 157129: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,133 - acbm.assigning - DEBUG - Activity 157129: sampling based on floor area\n", - "2024-05-14 18:29:42,135 - acbm.assigning - DEBUG - Activity 157311: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,138 - acbm.assigning - DEBUG - Activity 157311: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,139 - acbm.assigning - DEBUG - Activity 157311: sampling based on floor area\n", - "2024-05-14 18:29:42,141 - acbm.assigning - DEBUG - Activity 157312: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,144 - acbm.assigning - DEBUG - Activity 157312: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,145 - acbm.assigning - DEBUG - Activity 157312: sampling based on floor area\n", - "2024-05-14 18:29:42,146 - acbm.assigning - DEBUG - Activity 157313: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,148 - acbm.assigning - DEBUG - Activity 157313: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,149 - acbm.assigning - DEBUG - Activity 157313: sampling based on floor area\n", - "2024-05-14 18:29:42,150 - acbm.assigning - DEBUG - Activity 157319: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,152 - acbm.assigning - DEBUG - Activity 157319: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,153 - acbm.assigning - DEBUG - Activity 157319: sampling based on floor area\n", - "2024-05-14 18:29:42,154 - acbm.assigning - DEBUG - Activity 157320: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,156 - acbm.assigning - DEBUG - Activity 157320: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,157 - acbm.assigning - DEBUG - Activity 157320: sampling based on floor area\n", - "2024-05-14 18:29:42,159 - acbm.assigning - DEBUG - Activity 157607: Initial number of options for activity = 10\n", - "2024-05-14 18:29:42,162 - acbm.assigning - DEBUG - Activity 157607: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:42,163 - acbm.assigning - DEBUG - Activity 157607: sampling based on floor area\n", - "2024-05-14 18:29:42,164 - acbm.assigning - DEBUG - Activity 157609: Initial number of options for activity = 10\n", - "2024-05-14 18:29:42,166 - acbm.assigning - DEBUG - Activity 157609: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:42,175 - acbm.assigning - DEBUG - Activity 157609: sampling based on floor area\n", - "2024-05-14 18:29:42,177 - acbm.assigning - DEBUG - Activity 157611: Initial number of options for activity = 10\n", - "2024-05-14 18:29:42,180 - acbm.assigning - DEBUG - Activity 157611: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:42,184 - acbm.assigning - DEBUG - Activity 157611: sampling based on floor area\n", - "2024-05-14 18:29:42,185 - acbm.assigning - DEBUG - Activity 157674: Initial number of options for activity = 47\n", - "2024-05-14 18:29:42,189 - acbm.assigning - DEBUG - Activity 157674: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:42,190 - acbm.assigning - DEBUG - Activity 157674: sampling based on floor area\n", - "2024-05-14 18:29:42,191 - acbm.assigning - DEBUG - Activity 157675: Initial number of options for activity = 47\n", - "2024-05-14 18:29:42,195 - acbm.assigning - DEBUG - Activity 157675: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:42,196 - acbm.assigning - DEBUG - Activity 157675: sampling based on floor area\n", - "2024-05-14 18:29:42,198 - acbm.assigning - DEBUG - Activity 157676: Initial number of options for activity = 25\n", - "2024-05-14 18:29:42,201 - acbm.assigning - DEBUG - Activity 157676: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:42,202 - acbm.assigning - DEBUG - Activity 157676: sampling based on floor area\n", - "2024-05-14 18:29:42,204 - acbm.assigning - DEBUG - Activity 157677: Initial number of options for activity = 47\n", - "2024-05-14 18:29:42,206 - acbm.assigning - DEBUG - Activity 157677: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:42,207 - acbm.assigning - DEBUG - Activity 157677: sampling based on floor area\n", - "2024-05-14 18:29:42,208 - acbm.assigning - DEBUG - Activity 157681: Initial number of options for activity = 13\n", - "2024-05-14 18:29:42,210 - acbm.assigning - DEBUG - Activity 157681: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:42,211 - acbm.assigning - DEBUG - Activity 157681: sampling based on floor area\n", - "2024-05-14 18:29:42,212 - acbm.assigning - DEBUG - Activity 157683: Initial number of options for activity = 25\n", - "2024-05-14 18:29:42,215 - acbm.assigning - DEBUG - Activity 157683: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:42,216 - acbm.assigning - DEBUG - Activity 157683: sampling based on floor area\n", - "2024-05-14 18:29:42,218 - acbm.assigning - DEBUG - Activity 157685: Initial number of options for activity = 25\n", - "2024-05-14 18:29:42,221 - acbm.assigning - DEBUG - Activity 157685: Number of options after filtering by education type: 25\n", - "2024-05-14 18:29:42,222 - acbm.assigning - DEBUG - Activity 157685: sampling based on floor area\n", - "2024-05-14 18:29:42,224 - acbm.assigning - DEBUG - Activity 157686: Initial number of options for activity = 13\n", - "2024-05-14 18:29:42,226 - acbm.assigning - DEBUG - Activity 157686: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:42,227 - acbm.assigning - DEBUG - Activity 157686: sampling based on floor area\n", - "2024-05-14 18:29:42,228 - acbm.assigning - DEBUG - Activity 157689: Initial number of options for activity = 13\n", - "2024-05-14 18:29:42,231 - acbm.assigning - DEBUG - Activity 157689: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:42,231 - acbm.assigning - DEBUG - Activity 157689: sampling based on floor area\n", - "2024-05-14 18:29:42,234 - acbm.assigning - DEBUG - Activity 158076: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,236 - acbm.assigning - DEBUG - Activity 158076: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,237 - acbm.assigning - DEBUG - Activity 158076: sampling based on floor area\n", - "2024-05-14 18:29:42,238 - acbm.assigning - DEBUG - Activity 158078: Initial number of options for activity = 140\n", - "2024-05-14 18:29:42,241 - acbm.assigning - DEBUG - Activity 158078: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:42,241 - acbm.assigning - DEBUG - Activity 158078: sampling based on floor area\n", - "2024-05-14 18:29:42,243 - acbm.assigning - DEBUG - Activity 158116: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,245 - acbm.assigning - DEBUG - Activity 158116: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,253 - acbm.assigning - DEBUG - Activity 158116: sampling based on floor area\n", - "2024-05-14 18:29:42,255 - acbm.assigning - DEBUG - Activity 158233: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,258 - acbm.assigning - DEBUG - Activity 158233: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,260 - acbm.assigning - DEBUG - Activity 158233: sampling based on floor area\n", - "2024-05-14 18:29:42,261 - acbm.assigning - DEBUG - Activity 158262: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,263 - acbm.assigning - DEBUG - Activity 158262: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,264 - acbm.assigning - DEBUG - Activity 158262: sampling based on floor area\n", - "2024-05-14 18:29:42,265 - acbm.assigning - DEBUG - Activity 158264: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,267 - acbm.assigning - DEBUG - Activity 158264: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,268 - acbm.assigning - DEBUG - Activity 158264: sampling based on floor area\n", - "2024-05-14 18:29:42,269 - acbm.assigning - DEBUG - Activity 158266: Initial number of options for activity = 23\n", - "2024-05-14 18:29:42,273 - acbm.assigning - DEBUG - Activity 158266: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:42,275 - acbm.assigning - DEBUG - Activity 158266: sampling based on floor area\n", - "2024-05-14 18:29:42,276 - acbm.assigning - DEBUG - Activity 158272: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,279 - acbm.assigning - DEBUG - Activity 158272: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,280 - acbm.assigning - DEBUG - Activity 158272: sampling based on floor area\n", - "2024-05-14 18:29:42,282 - acbm.assigning - INFO - Activity 158274: No zones available\n", - "2024-05-14 18:29:42,283 - acbm.assigning - INFO - Activity 158276: No zones available\n", - "2024-05-14 18:29:42,284 - acbm.assigning - DEBUG - Activity 158380: Initial number of options for activity = 52\n", - "2024-05-14 18:29:42,287 - acbm.assigning - DEBUG - Activity 158380: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:42,287 - acbm.assigning - DEBUG - Activity 158380: sampling based on floor area\n", - "2024-05-14 18:29:42,289 - acbm.assigning - DEBUG - Activity 158382: Initial number of options for activity = 52\n", - "2024-05-14 18:29:42,291 - acbm.assigning - DEBUG - Activity 158382: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:42,292 - acbm.assigning - DEBUG - Activity 158382: sampling based on floor area\n", - "2024-05-14 18:29:42,293 - acbm.assigning - DEBUG - Activity 158384: Initial number of options for activity = 52\n", - "2024-05-14 18:29:42,296 - acbm.assigning - DEBUG - Activity 158384: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:42,297 - acbm.assigning - DEBUG - Activity 158384: sampling based on floor area\n", - "2024-05-14 18:29:42,298 - acbm.assigning - DEBUG - Activity 158386: Initial number of options for activity = 52\n", - "2024-05-14 18:29:42,301 - acbm.assigning - DEBUG - Activity 158386: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:42,303 - acbm.assigning - DEBUG - Activity 158386: sampling based on floor area\n", - "2024-05-14 18:29:42,304 - acbm.assigning - DEBUG - Activity 158444: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,306 - acbm.assigning - DEBUG - Activity 158444: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,307 - acbm.assigning - DEBUG - Activity 158444: sampling based on floor area\n", - "2024-05-14 18:29:42,309 - acbm.assigning - DEBUG - Activity 158446: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,311 - acbm.assigning - DEBUG - Activity 158446: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,311 - acbm.assigning - DEBUG - Activity 158446: sampling based on floor area\n", - "2024-05-14 18:29:42,312 - acbm.assigning - DEBUG - Activity 158448: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,315 - acbm.assigning - DEBUG - Activity 158448: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,316 - acbm.assigning - DEBUG - Activity 158448: sampling based on floor area\n", - "2024-05-14 18:29:42,318 - acbm.assigning - DEBUG - Activity 158450: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,321 - acbm.assigning - DEBUG - Activity 158450: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,322 - acbm.assigning - DEBUG - Activity 158450: sampling based on floor area\n", - "2024-05-14 18:29:42,324 - acbm.assigning - INFO - Activity 158548: No zones available\n", - "2024-05-14 18:29:42,325 - acbm.assigning - INFO - Activity 158563: No zones available\n", - "2024-05-14 18:29:42,325 - acbm.assigning - DEBUG - Activity 158610: Initial number of options for activity = 153\n", - "2024-05-14 18:29:42,328 - acbm.assigning - DEBUG - Activity 158610: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:42,329 - acbm.assigning - DEBUG - Activity 158610: sampling based on floor area\n", - "2024-05-14 18:29:42,330 - acbm.assigning - DEBUG - Activity 158612: Initial number of options for activity = 153\n", - "2024-05-14 18:29:42,333 - acbm.assigning - DEBUG - Activity 158612: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:42,334 - acbm.assigning - DEBUG - Activity 158612: sampling based on floor area\n", - "2024-05-14 18:29:42,335 - acbm.assigning - DEBUG - Activity 158614: Initial number of options for activity = 153\n", - "2024-05-14 18:29:42,340 - acbm.assigning - DEBUG - Activity 158614: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:42,341 - acbm.assigning - DEBUG - Activity 158614: sampling based on floor area\n", - "2024-05-14 18:29:42,343 - acbm.assigning - DEBUG - Activity 158616: Initial number of options for activity = 153\n", - "2024-05-14 18:29:42,345 - acbm.assigning - DEBUG - Activity 158616: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:42,346 - acbm.assigning - DEBUG - Activity 158616: sampling based on floor area\n", - "2024-05-14 18:29:42,347 - acbm.assigning - DEBUG - Activity 158733: Initial number of options for activity = 127\n", - "2024-05-14 18:29:42,349 - acbm.assigning - DEBUG - Activity 158733: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:42,350 - acbm.assigning - DEBUG - Activity 158733: sampling based on floor area\n", - "2024-05-14 18:29:42,351 - acbm.assigning - DEBUG - Activity 158735: Initial number of options for activity = 127\n", - "2024-05-14 18:29:42,353 - acbm.assigning - DEBUG - Activity 158735: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:42,353 - acbm.assigning - DEBUG - Activity 158735: sampling based on floor area\n", - "2024-05-14 18:29:42,355 - acbm.assigning - DEBUG - Activity 158737: Initial number of options for activity = 127\n", - "2024-05-14 18:29:42,357 - acbm.assigning - DEBUG - Activity 158737: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:42,358 - acbm.assigning - DEBUG - Activity 158737: sampling based on floor area\n", - "2024-05-14 18:29:42,359 - acbm.assigning - DEBUG - Activity 158739: Initial number of options for activity = 127\n", - "2024-05-14 18:29:42,360 - acbm.assigning - DEBUG - Activity 158739: Number of options after filtering by education type: 127\n", - "2024-05-14 18:29:42,361 - acbm.assigning - DEBUG - Activity 158739: sampling based on floor area\n", - "2024-05-14 18:29:42,362 - acbm.assigning - DEBUG - Activity 158862: Initial number of options for activity = 137\n", - "2024-05-14 18:29:42,365 - acbm.assigning - DEBUG - Activity 158862: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:42,366 - acbm.assigning - DEBUG - Activity 158862: sampling based on floor area\n", - "2024-05-14 18:29:42,367 - acbm.assigning - DEBUG - Activity 158864: Initial number of options for activity = 137\n", - "2024-05-14 18:29:42,370 - acbm.assigning - DEBUG - Activity 158864: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:42,386 - acbm.assigning - DEBUG - Activity 158864: sampling based on floor area\n", - "2024-05-14 18:29:42,392 - acbm.assigning - DEBUG - Activity 158866: Initial number of options for activity = 137\n", - "2024-05-14 18:29:42,397 - acbm.assigning - DEBUG - Activity 158866: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:42,407 - acbm.assigning - DEBUG - Activity 158866: sampling based on floor area\n", - "2024-05-14 18:29:42,409 - acbm.assigning - DEBUG - Activity 158870: Initial number of options for activity = 137\n", - "2024-05-14 18:29:42,412 - acbm.assigning - DEBUG - Activity 158870: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:42,413 - acbm.assigning - DEBUG - Activity 158870: sampling based on floor area\n", - "2024-05-14 18:29:42,417 - acbm.assigning - DEBUG - Activity 159008: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,420 - acbm.assigning - DEBUG - Activity 159008: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,422 - acbm.assigning - DEBUG - Activity 159008: sampling based on floor area\n", - "2024-05-14 18:29:42,424 - acbm.assigning - DEBUG - Activity 159010: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,427 - acbm.assigning - DEBUG - Activity 159010: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,429 - acbm.assigning - DEBUG - Activity 159010: sampling based on floor area\n", - "2024-05-14 18:29:42,432 - acbm.assigning - DEBUG - Activity 159012: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,436 - acbm.assigning - DEBUG - Activity 159012: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,437 - acbm.assigning - DEBUG - Activity 159012: sampling based on floor area\n", - "2024-05-14 18:29:42,439 - acbm.assigning - DEBUG - Activity 159014: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,443 - acbm.assigning - DEBUG - Activity 159014: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,444 - acbm.assigning - DEBUG - Activity 159014: sampling based on floor area\n", - "2024-05-14 18:29:42,446 - acbm.assigning - DEBUG - Activity 159054: Initial number of options for activity = 129\n", - "2024-05-14 18:29:42,449 - acbm.assigning - DEBUG - Activity 159054: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:42,451 - acbm.assigning - DEBUG - Activity 159054: sampling based on floor area\n", - "2024-05-14 18:29:42,453 - acbm.assigning - DEBUG - Activity 159056: Initial number of options for activity = 129\n", - "2024-05-14 18:29:42,457 - acbm.assigning - DEBUG - Activity 159056: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:42,458 - acbm.assigning - DEBUG - Activity 159056: sampling based on floor area\n", - "2024-05-14 18:29:42,460 - acbm.assigning - DEBUG - Activity 159058: Initial number of options for activity = 129\n", - "2024-05-14 18:29:42,464 - acbm.assigning - DEBUG - Activity 159058: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:42,465 - acbm.assigning - DEBUG - Activity 159058: sampling based on floor area\n", - "2024-05-14 18:29:42,467 - acbm.assigning - DEBUG - Activity 159060: Initial number of options for activity = 129\n", - "2024-05-14 18:29:42,471 - acbm.assigning - DEBUG - Activity 159060: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:42,473 - acbm.assigning - DEBUG - Activity 159060: sampling based on floor area\n", - "2024-05-14 18:29:42,474 - acbm.assigning - DEBUG - Activity 159064: Initial number of options for activity = 129\n", - "2024-05-14 18:29:42,478 - acbm.assigning - DEBUG - Activity 159064: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:42,479 - acbm.assigning - DEBUG - Activity 159064: sampling based on floor area\n", - "2024-05-14 18:29:42,481 - acbm.assigning - DEBUG - Activity 159399: Initial number of options for activity = 77\n", - "2024-05-14 18:29:42,484 - acbm.assigning - DEBUG - Activity 159399: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:42,486 - acbm.assigning - DEBUG - Activity 159399: sampling based on floor area\n", - "2024-05-14 18:29:42,488 - acbm.assigning - DEBUG - Activity 159401: Initial number of options for activity = 77\n", - "2024-05-14 18:29:42,492 - acbm.assigning - DEBUG - Activity 159401: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:42,494 - acbm.assigning - DEBUG - Activity 159401: sampling based on floor area\n", - "2024-05-14 18:29:42,496 - acbm.assigning - DEBUG - Activity 159405: Initial number of options for activity = 77\n", - "2024-05-14 18:29:42,499 - acbm.assigning - DEBUG - Activity 159405: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:42,501 - acbm.assigning - DEBUG - Activity 159405: sampling based on floor area\n", - "2024-05-14 18:29:42,503 - acbm.assigning - DEBUG - Activity 159407: Initial number of options for activity = 77\n", - "2024-05-14 18:29:42,507 - acbm.assigning - DEBUG - Activity 159407: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:42,508 - acbm.assigning - DEBUG - Activity 159407: sampling based on floor area\n", - "2024-05-14 18:29:42,511 - acbm.assigning - DEBUG - Activity 159409: Initial number of options for activity = 77\n", - "2024-05-14 18:29:42,514 - acbm.assigning - DEBUG - Activity 159409: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:42,516 - acbm.assigning - DEBUG - Activity 159409: sampling based on floor area\n", - "2024-05-14 18:29:42,517 - acbm.assigning - DEBUG - Activity 159463: Initial number of options for activity = 161\n", - "2024-05-14 18:29:42,521 - acbm.assigning - DEBUG - Activity 159463: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:42,522 - acbm.assigning - DEBUG - Activity 159463: sampling based on floor area\n", - "2024-05-14 18:29:42,524 - acbm.assigning - DEBUG - Activity 159465: Initial number of options for activity = 156\n", - "2024-05-14 18:29:42,527 - acbm.assigning - DEBUG - Activity 159465: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:42,528 - acbm.assigning - DEBUG - Activity 159465: sampling based on floor area\n", - "2024-05-14 18:29:42,530 - acbm.assigning - DEBUG - Activity 159478: Initial number of options for activity = 94\n", - "2024-05-14 18:29:42,534 - acbm.assigning - DEBUG - Activity 159478: Number of options after filtering by education type: 94\n", - "2024-05-14 18:29:42,538 - acbm.assigning - DEBUG - Activity 159478: sampling based on floor area\n", - "2024-05-14 18:29:42,541 - acbm.assigning - DEBUG - Activity 159480: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,544 - acbm.assigning - DEBUG - Activity 159480: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,546 - acbm.assigning - DEBUG - Activity 159480: sampling based on floor area\n", - "2024-05-14 18:29:42,549 - acbm.assigning - DEBUG - Activity 159489: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,552 - acbm.assigning - DEBUG - Activity 159489: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,553 - acbm.assigning - DEBUG - Activity 159489: sampling based on floor area\n", - "2024-05-14 18:29:42,554 - acbm.assigning - DEBUG - Activity 159579: Initial number of options for activity = 79\n", - "2024-05-14 18:29:42,557 - acbm.assigning - DEBUG - Activity 159579: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:42,557 - acbm.assigning - DEBUG - Activity 159579: sampling based on floor area\n", - "2024-05-14 18:29:42,559 - acbm.assigning - DEBUG - Activity 159586: Initial number of options for activity = 79\n", - "2024-05-14 18:29:42,562 - acbm.assigning - DEBUG - Activity 159586: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:42,563 - acbm.assigning - DEBUG - Activity 159586: sampling based on floor area\n", - "2024-05-14 18:29:42,565 - acbm.assigning - DEBUG - Activity 159588: Initial number of options for activity = 79\n", - "2024-05-14 18:29:42,567 - acbm.assigning - DEBUG - Activity 159588: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:42,568 - acbm.assigning - DEBUG - Activity 159588: sampling based on floor area\n", - "2024-05-14 18:29:42,570 - acbm.assigning - DEBUG - Activity 159589: Initial number of options for activity = 79\n", - "2024-05-14 18:29:42,573 - acbm.assigning - DEBUG - Activity 159589: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:42,574 - acbm.assigning - DEBUG - Activity 159589: sampling based on floor area\n", - "2024-05-14 18:29:42,575 - acbm.assigning - DEBUG - Activity 159591: Initial number of options for activity = 83\n", - "2024-05-14 18:29:42,579 - acbm.assigning - DEBUG - Activity 159591: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:42,580 - acbm.assigning - DEBUG - Activity 159591: sampling based on floor area\n", - "2024-05-14 18:29:42,582 - acbm.assigning - DEBUG - Activity 159642: Initial number of options for activity = 163\n", - "2024-05-14 18:29:42,585 - acbm.assigning - DEBUG - Activity 159642: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:42,587 - acbm.assigning - DEBUG - Activity 159642: sampling based on floor area\n", - "2024-05-14 18:29:42,589 - acbm.assigning - DEBUG - Activity 159646: Initial number of options for activity = 39\n", - "2024-05-14 18:29:42,591 - acbm.assigning - DEBUG - Activity 159646: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:42,592 - acbm.assigning - DEBUG - Activity 159646: sampling based on floor area\n", - "2024-05-14 18:29:42,593 - acbm.assigning - DEBUG - Activity 159648: Initial number of options for activity = 78\n", - "2024-05-14 18:29:42,596 - acbm.assigning - DEBUG - Activity 159648: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:42,598 - acbm.assigning - DEBUG - Activity 159648: sampling based on floor area\n", - "2024-05-14 18:29:42,599 - acbm.assigning - DEBUG - Activity 159649: Initial number of options for activity = 78\n", - "2024-05-14 18:29:42,602 - acbm.assigning - DEBUG - Activity 159649: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:42,603 - acbm.assigning - DEBUG - Activity 159649: sampling based on floor area\n", - "2024-05-14 18:29:42,605 - acbm.assigning - DEBUG - Activity 159650: Initial number of options for activity = 78\n", - "2024-05-14 18:29:42,608 - acbm.assigning - DEBUG - Activity 159650: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:42,609 - acbm.assigning - DEBUG - Activity 159650: sampling based on floor area\n", - "2024-05-14 18:29:42,611 - acbm.assigning - DEBUG - Activity 159654: Initial number of options for activity = 39\n", - "2024-05-14 18:29:42,613 - acbm.assigning - DEBUG - Activity 159654: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:42,613 - acbm.assigning - DEBUG - Activity 159654: sampling based on floor area\n", - "2024-05-14 18:29:42,614 - acbm.assigning - DEBUG - Activity 159656: Initial number of options for activity = 19\n", - "2024-05-14 18:29:42,616 - acbm.assigning - DEBUG - Activity 159656: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:42,617 - acbm.assigning - DEBUG - Activity 159656: sampling based on floor area\n", - "2024-05-14 18:29:42,618 - acbm.assigning - DEBUG - Activity 159657: Initial number of options for activity = 39\n", - "2024-05-14 18:29:42,620 - acbm.assigning - DEBUG - Activity 159657: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:42,621 - acbm.assigning - DEBUG - Activity 159657: sampling based on floor area\n", - "2024-05-14 18:29:42,622 - acbm.assigning - DEBUG - Activity 159662: Initial number of options for activity = 63\n", - "2024-05-14 18:29:42,624 - acbm.assigning - DEBUG - Activity 159662: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:42,624 - acbm.assigning - DEBUG - Activity 159662: sampling based on floor area\n", - "2024-05-14 18:29:42,625 - acbm.assigning - DEBUG - Activity 159664: Initial number of options for activity = 39\n", - "2024-05-14 18:29:42,627 - acbm.assigning - DEBUG - Activity 159664: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:42,627 - acbm.assigning - DEBUG - Activity 159664: sampling based on floor area\n", - "2024-05-14 18:29:42,628 - acbm.assigning - DEBUG - Activity 159693: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,630 - acbm.assigning - DEBUG - Activity 159693: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,631 - acbm.assigning - DEBUG - Activity 159693: sampling based on floor area\n", - "2024-05-14 18:29:42,632 - acbm.assigning - DEBUG - Activity 159696: Initial number of options for activity = 5\n", - "2024-05-14 18:29:42,634 - acbm.assigning - DEBUG - Activity 159696: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:42,635 - acbm.assigning - DEBUG - Activity 159696: sampling based on floor area\n", - "2024-05-14 18:29:42,636 - acbm.assigning - DEBUG - Activity 159736: Initial number of options for activity = 27\n", - "2024-05-14 18:29:42,639 - acbm.assigning - DEBUG - Activity 159736: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:42,640 - acbm.assigning - DEBUG - Activity 159736: sampling based on floor area\n", - "2024-05-14 18:29:42,642 - acbm.assigning - DEBUG - Activity 159738: Initial number of options for activity = 27\n", - "2024-05-14 18:29:42,645 - acbm.assigning - DEBUG - Activity 159738: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:42,646 - acbm.assigning - DEBUG - Activity 159738: sampling based on floor area\n", - "2024-05-14 18:29:42,648 - acbm.assigning - DEBUG - Activity 159740: Initial number of options for activity = 27\n", - "2024-05-14 18:29:42,651 - acbm.assigning - DEBUG - Activity 159740: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:42,653 - acbm.assigning - DEBUG - Activity 159740: sampling based on floor area\n", - "2024-05-14 18:29:42,655 - acbm.assigning - DEBUG - Activity 159742: Initial number of options for activity = 27\n", - "2024-05-14 18:29:42,657 - acbm.assigning - DEBUG - Activity 159742: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:42,658 - acbm.assigning - DEBUG - Activity 159742: sampling based on floor area\n", - "2024-05-14 18:29:42,659 - acbm.assigning - DEBUG - Activity 159744: Initial number of options for activity = 27\n", - "2024-05-14 18:29:42,661 - acbm.assigning - DEBUG - Activity 159744: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:42,662 - acbm.assigning - DEBUG - Activity 159744: sampling based on floor area\n", - "2024-05-14 18:29:42,663 - acbm.assigning - DEBUG - Activity 159775: Initial number of options for activity = 63\n", - "2024-05-14 18:29:42,666 - acbm.assigning - DEBUG - Activity 159775: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:42,667 - acbm.assigning - DEBUG - Activity 159775: sampling based on floor area\n", - "2024-05-14 18:29:42,668 - acbm.assigning - DEBUG - Activity 159777: Initial number of options for activity = 63\n", - "2024-05-14 18:29:42,671 - acbm.assigning - DEBUG - Activity 159777: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:42,671 - acbm.assigning - DEBUG - Activity 159777: sampling based on floor area\n", - "2024-05-14 18:29:42,672 - acbm.assigning - DEBUG - Activity 159779: Initial number of options for activity = 63\n", - "2024-05-14 18:29:42,674 - acbm.assigning - DEBUG - Activity 159779: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:42,675 - acbm.assigning - DEBUG - Activity 159779: sampling based on floor area\n", - "2024-05-14 18:29:42,676 - acbm.assigning - DEBUG - Activity 159781: Initial number of options for activity = 63\n", - "2024-05-14 18:29:42,678 - acbm.assigning - DEBUG - Activity 159781: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:42,678 - acbm.assigning - DEBUG - Activity 159781: sampling based on floor area\n", - "2024-05-14 18:29:42,679 - acbm.assigning - DEBUG - Activity 159826: Initial number of options for activity = 35\n", - "2024-05-14 18:29:42,682 - acbm.assigning - DEBUG - Activity 159826: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:42,683 - acbm.assigning - DEBUG - Activity 159826: sampling based on floor area\n", - "2024-05-14 18:29:42,684 - acbm.assigning - DEBUG - Activity 159828: Initial number of options for activity = 35\n", - "2024-05-14 18:29:42,686 - acbm.assigning - DEBUG - Activity 159828: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:42,687 - acbm.assigning - DEBUG - Activity 159828: sampling based on floor area\n", - "2024-05-14 18:29:42,688 - acbm.assigning - DEBUG - Activity 159830: Initial number of options for activity = 35\n", - "2024-05-14 18:29:42,690 - acbm.assigning - DEBUG - Activity 159830: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:42,691 - acbm.assigning - DEBUG - Activity 159830: sampling based on floor area\n", - "2024-05-14 18:29:42,692 - acbm.assigning - DEBUG - Activity 159832: Initial number of options for activity = 35\n", - "2024-05-14 18:29:42,694 - acbm.assigning - DEBUG - Activity 159832: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:42,695 - acbm.assigning - DEBUG - Activity 159832: sampling based on floor area\n", - "2024-05-14 18:29:42,696 - acbm.assigning - DEBUG - Activity 159945: Initial number of options for activity = 40\n", - "2024-05-14 18:29:42,698 - acbm.assigning - DEBUG - Activity 159945: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:42,699 - acbm.assigning - DEBUG - Activity 159945: sampling based on floor area\n", - "2024-05-14 18:29:42,701 - acbm.assigning - DEBUG - Activity 159947: Initial number of options for activity = 40\n", - "2024-05-14 18:29:42,703 - acbm.assigning - DEBUG - Activity 159947: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:42,704 - acbm.assigning - DEBUG - Activity 159947: sampling based on floor area\n", - "2024-05-14 18:29:42,705 - acbm.assigning - DEBUG - Activity 159951: Initial number of options for activity = 40\n", - "2024-05-14 18:29:42,706 - acbm.assigning - DEBUG - Activity 159951: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:42,707 - acbm.assigning - DEBUG - Activity 159951: sampling based on floor area\n", - "2024-05-14 18:29:42,708 - acbm.assigning - DEBUG - Activity 159953: Initial number of options for activity = 40\n", - "2024-05-14 18:29:42,710 - acbm.assigning - DEBUG - Activity 159953: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:42,710 - acbm.assigning - DEBUG - Activity 159953: sampling based on floor area\n", - "2024-05-14 18:29:42,711 - acbm.assigning - DEBUG - Activity 159955: Initial number of options for activity = 40\n", - "2024-05-14 18:29:42,713 - acbm.assigning - DEBUG - Activity 159955: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:42,714 - acbm.assigning - DEBUG - Activity 159955: sampling based on floor area\n", - "2024-05-14 18:29:42,715 - acbm.assigning - DEBUG - Activity 160019: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,717 - acbm.assigning - DEBUG - Activity 160019: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,718 - acbm.assigning - DEBUG - Activity 160019: sampling based on floor area\n", - "2024-05-14 18:29:42,719 - acbm.assigning - DEBUG - Activity 160028: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,721 - acbm.assigning - DEBUG - Activity 160028: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,731 - acbm.assigning - DEBUG - Activity 160028: sampling based on floor area\n", - "2024-05-14 18:29:42,733 - acbm.assigning - DEBUG - Activity 160033: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,736 - acbm.assigning - DEBUG - Activity 160033: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,737 - acbm.assigning - DEBUG - Activity 160033: sampling based on floor area\n", - "2024-05-14 18:29:42,739 - acbm.assigning - DEBUG - Activity 160035: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,741 - acbm.assigning - DEBUG - Activity 160035: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,742 - acbm.assigning - DEBUG - Activity 160035: sampling based on floor area\n", - "2024-05-14 18:29:42,744 - acbm.assigning - DEBUG - Activity 160036: Initial number of options for activity = 172\n", - "2024-05-14 18:29:42,746 - acbm.assigning - DEBUG - Activity 160036: Number of options after filtering by education type: 172\n", - "2024-05-14 18:29:42,747 - acbm.assigning - DEBUG - Activity 160036: sampling based on floor area\n", - "2024-05-14 18:29:42,748 - acbm.assigning - DEBUG - Activity 160234: Initial number of options for activity = 9\n", - "2024-05-14 18:29:42,750 - acbm.assigning - DEBUG - Activity 160234: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:42,751 - acbm.assigning - DEBUG - Activity 160234: sampling based on floor area\n", - "2024-05-14 18:29:42,752 - acbm.assigning - DEBUG - Activity 160236: Initial number of options for activity = 9\n", - "2024-05-14 18:29:42,755 - acbm.assigning - DEBUG - Activity 160236: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:42,756 - acbm.assigning - DEBUG - Activity 160236: sampling based on floor area\n", - "2024-05-14 18:29:42,758 - acbm.assigning - DEBUG - Activity 160238: Initial number of options for activity = 9\n", - "2024-05-14 18:29:42,760 - acbm.assigning - DEBUG - Activity 160238: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:42,761 - acbm.assigning - DEBUG - Activity 160238: sampling based on floor area\n", - "2024-05-14 18:29:42,762 - acbm.assigning - DEBUG - Activity 160240: Initial number of options for activity = 9\n", - "2024-05-14 18:29:42,764 - acbm.assigning - DEBUG - Activity 160240: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:42,765 - acbm.assigning - DEBUG - Activity 160240: sampling based on floor area\n", - "2024-05-14 18:29:42,766 - acbm.assigning - DEBUG - Activity 160242: Initial number of options for activity = 9\n", - "2024-05-14 18:29:42,768 - acbm.assigning - DEBUG - Activity 160242: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:42,769 - acbm.assigning - DEBUG - Activity 160242: sampling based on floor area\n", - "2024-05-14 18:29:42,771 - acbm.assigning - DEBUG - Activity 160311: Initial number of options for activity = 15\n", - "2024-05-14 18:29:42,784 - acbm.assigning - DEBUG - Activity 160311: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:42,785 - acbm.assigning - DEBUG - Activity 160311: sampling based on floor area\n", - "2024-05-14 18:29:42,787 - acbm.assigning - DEBUG - Activity 160312: Initial number of options for activity = 15\n", - "2024-05-14 18:29:42,789 - acbm.assigning - DEBUG - Activity 160312: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:42,790 - acbm.assigning - DEBUG - Activity 160312: sampling based on floor area\n", - "2024-05-14 18:29:42,792 - acbm.assigning - DEBUG - Activity 160315: Initial number of options for activity = 15\n", - "2024-05-14 18:29:42,795 - acbm.assigning - DEBUG - Activity 160315: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:42,796 - acbm.assigning - DEBUG - Activity 160315: sampling based on floor area\n", - "2024-05-14 18:29:42,798 - acbm.assigning - DEBUG - Activity 160319: Initial number of options for activity = 15\n", - "2024-05-14 18:29:42,800 - acbm.assigning - DEBUG - Activity 160319: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:42,801 - acbm.assigning - DEBUG - Activity 160319: sampling based on floor area\n", - "2024-05-14 18:29:42,803 - acbm.assigning - DEBUG - Activity 160324: Initial number of options for activity = 33\n", - "2024-05-14 18:29:42,805 - acbm.assigning - DEBUG - Activity 160324: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:42,806 - acbm.assigning - DEBUG - Activity 160324: sampling based on floor area\n", - "2024-05-14 18:29:42,807 - acbm.assigning - DEBUG - Activity 160325: Initial number of options for activity = 33\n", - "2024-05-14 18:29:42,809 - acbm.assigning - DEBUG - Activity 160325: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:42,810 - acbm.assigning - DEBUG - Activity 160325: sampling based on floor area\n", - "2024-05-14 18:29:42,811 - acbm.assigning - DEBUG - Activity 160326: Initial number of options for activity = 33\n", - "2024-05-14 18:29:42,814 - acbm.assigning - DEBUG - Activity 160326: Number of options after filtering by education type: 33\n", - "2024-05-14 18:29:42,815 - acbm.assigning - DEBUG - Activity 160326: sampling based on floor area\n", - "2024-05-14 18:29:42,816 - acbm.assigning - DEBUG - Activity 160494: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,819 - acbm.assigning - DEBUG - Activity 160494: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,820 - acbm.assigning - DEBUG - Activity 160494: sampling based on floor area\n", - "2024-05-14 18:29:42,822 - acbm.assigning - DEBUG - Activity 160498: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,824 - acbm.assigning - DEBUG - Activity 160498: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,825 - acbm.assigning - DEBUG - Activity 160498: sampling based on floor area\n", - "2024-05-14 18:29:42,826 - acbm.assigning - DEBUG - Activity 160500: Initial number of options for activity = 51\n", - "2024-05-14 18:29:42,828 - acbm.assigning - DEBUG - Activity 160500: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:42,829 - acbm.assigning - DEBUG - Activity 160500: sampling based on floor area\n", - "2024-05-14 18:29:42,830 - acbm.assigning - DEBUG - Activity 160505: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,833 - acbm.assigning - DEBUG - Activity 160505: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,834 - acbm.assigning - DEBUG - Activity 160505: sampling based on floor area\n", - "2024-05-14 18:29:42,836 - acbm.assigning - DEBUG - Activity 160506: Initial number of options for activity = 131\n", - "2024-05-14 18:29:42,838 - acbm.assigning - DEBUG - Activity 160506: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:42,839 - acbm.assigning - DEBUG - Activity 160506: sampling based on floor area\n", - "2024-05-14 18:29:42,840 - acbm.assigning - DEBUG - Activity 160618: Initial number of options for activity = 58\n", - "2024-05-14 18:29:42,842 - acbm.assigning - DEBUG - Activity 160618: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:42,843 - acbm.assigning - DEBUG - Activity 160618: sampling based on floor area\n", - "2024-05-14 18:29:42,844 - acbm.assigning - DEBUG - Activity 160622: Initial number of options for activity = 16\n", - "2024-05-14 18:29:42,846 - acbm.assigning - DEBUG - Activity 160622: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:42,847 - acbm.assigning - DEBUG - Activity 160622: sampling based on floor area\n", - "2024-05-14 18:29:42,848 - acbm.assigning - DEBUG - Activity 160624: Initial number of options for activity = 34\n", - "2024-05-14 18:29:42,861 - acbm.assigning - DEBUG - Activity 160624: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:42,862 - acbm.assigning - DEBUG - Activity 160624: sampling based on floor area\n", - "2024-05-14 18:29:42,866 - acbm.assigning - DEBUG - Activity 160625: Initial number of options for activity = 34\n", - "2024-05-14 18:29:42,869 - acbm.assigning - DEBUG - Activity 160625: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:42,871 - acbm.assigning - DEBUG - Activity 160625: sampling based on floor area\n", - "2024-05-14 18:29:42,872 - acbm.assigning - DEBUG - Activity 160626: Initial number of options for activity = 34\n", - "2024-05-14 18:29:42,875 - acbm.assigning - DEBUG - Activity 160626: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:42,876 - acbm.assigning - DEBUG - Activity 160626: sampling based on floor area\n", - "2024-05-14 18:29:42,877 - acbm.assigning - DEBUG - Activity 160630: Initial number of options for activity = 34\n", - "2024-05-14 18:29:42,880 - acbm.assigning - DEBUG - Activity 160630: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:42,881 - acbm.assigning - DEBUG - Activity 160630: sampling based on floor area\n", - "2024-05-14 18:29:42,883 - acbm.assigning - DEBUG - Activity 160632: Initial number of options for activity = 16\n", - "2024-05-14 18:29:42,886 - acbm.assigning - DEBUG - Activity 160632: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:42,887 - acbm.assigning - DEBUG - Activity 160632: sampling based on floor area\n", - "2024-05-14 18:29:42,888 - acbm.assigning - DEBUG - Activity 160633: Initial number of options for activity = 34\n", - "2024-05-14 18:29:42,890 - acbm.assigning - DEBUG - Activity 160633: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:42,891 - acbm.assigning - DEBUG - Activity 160633: sampling based on floor area\n", - "2024-05-14 18:29:42,893 - acbm.assigning - DEBUG - Activity 160638: Initial number of options for activity = 58\n", - "2024-05-14 18:29:42,897 - acbm.assigning - DEBUG - Activity 160638: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:42,899 - acbm.assigning - DEBUG - Activity 160638: sampling based on floor area\n", - "2024-05-14 18:29:42,900 - acbm.assigning - DEBUG - Activity 160640: Initial number of options for activity = 34\n", - "2024-05-14 18:29:42,902 - acbm.assigning - DEBUG - Activity 160640: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:42,903 - acbm.assigning - DEBUG - Activity 160640: sampling based on floor area\n", - "2024-05-14 18:29:42,905 - acbm.assigning - DEBUG - Activity 160818: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,910 - acbm.assigning - DEBUG - Activity 160818: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,911 - acbm.assigning - DEBUG - Activity 160818: sampling based on floor area\n", - "2024-05-14 18:29:42,913 - acbm.assigning - INFO - KeyError: Key 160822 in possible_zones has no values\n", - "2024-05-14 18:29:42,914 - acbm.assigning - DEBUG - Activity 160866: Initial number of options for activity = 78\n", - "2024-05-14 18:29:42,919 - acbm.assigning - DEBUG - Activity 160866: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:42,920 - acbm.assigning - DEBUG - Activity 160866: sampling based on floor area\n", - "2024-05-14 18:29:42,922 - acbm.assigning - DEBUG - Activity 160896: Initial number of options for activity = 40\n", - "2024-05-14 18:29:42,924 - acbm.assigning - DEBUG - Activity 160896: Number of options after filtering by education type: 40\n", - "2024-05-14 18:29:42,926 - acbm.assigning - DEBUG - Activity 160896: sampling based on floor area\n", - "2024-05-14 18:29:42,927 - acbm.assigning - DEBUG - Activity 161130: Initial number of options for activity = 7\n", - "2024-05-14 18:29:42,929 - acbm.assigning - DEBUG - Activity 161130: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:42,930 - acbm.assigning - DEBUG - Activity 161130: sampling based on floor area\n", - "2024-05-14 18:29:42,932 - acbm.assigning - DEBUG - Activity 161135: Initial number of options for activity = 7\n", - "2024-05-14 18:29:42,936 - acbm.assigning - DEBUG - Activity 161135: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:42,936 - acbm.assigning - DEBUG - Activity 161135: sampling based on floor area\n", - "2024-05-14 18:29:42,938 - acbm.assigning - DEBUG - Activity 161147: Initial number of options for activity = 7\n", - "2024-05-14 18:29:42,940 - acbm.assigning - DEBUG - Activity 161147: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:42,941 - acbm.assigning - DEBUG - Activity 161147: sampling based on floor area\n", - "2024-05-14 18:29:42,942 - acbm.assigning - DEBUG - Activity 161177: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,945 - acbm.assigning - DEBUG - Activity 161177: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,946 - acbm.assigning - DEBUG - Activity 161177: sampling based on floor area\n", - "2024-05-14 18:29:42,948 - acbm.assigning - DEBUG - Activity 161179: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,950 - acbm.assigning - DEBUG - Activity 161179: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,951 - acbm.assigning - DEBUG - Activity 161179: sampling based on floor area\n", - "2024-05-14 18:29:42,952 - acbm.assigning - DEBUG - Activity 161183: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,955 - acbm.assigning - DEBUG - Activity 161183: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,955 - acbm.assigning - DEBUG - Activity 161183: sampling based on floor area\n", - "2024-05-14 18:29:42,956 - acbm.assigning - DEBUG - Activity 161185: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,958 - acbm.assigning - DEBUG - Activity 161185: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,959 - acbm.assigning - DEBUG - Activity 161185: sampling based on floor area\n", - "2024-05-14 18:29:42,960 - acbm.assigning - DEBUG - Activity 161187: Initial number of options for activity = 115\n", - "2024-05-14 18:29:42,961 - acbm.assigning - DEBUG - Activity 161187: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:42,962 - acbm.assigning - DEBUG - Activity 161187: sampling based on floor area\n", - "2024-05-14 18:29:42,963 - acbm.assigning - INFO - Activity 161215: No zones available\n", - "2024-05-14 18:29:42,963 - acbm.assigning - DEBUG - Activity 161261: Initial number of options for activity = 1\n", - "2024-05-14 18:29:42,965 - acbm.assigning - DEBUG - Activity 161261: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:42,966 - acbm.assigning - DEBUG - Activity 161261: sampling based on floor area\n", - "2024-05-14 18:29:42,967 - acbm.assigning - INFO - KeyError: Key 161265 in possible_zones has no values\n", - "2024-05-14 18:29:42,968 - acbm.assigning - DEBUG - Activity 161376: Initial number of options for activity = 59\n", - "2024-05-14 18:29:42,970 - acbm.assigning - DEBUG - Activity 161376: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:42,971 - acbm.assigning - DEBUG - Activity 161376: sampling based on floor area\n", - "2024-05-14 18:29:42,972 - acbm.assigning - DEBUG - Activity 161378: Initial number of options for activity = 59\n", - "2024-05-14 18:29:42,975 - acbm.assigning - DEBUG - Activity 161378: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:42,976 - acbm.assigning - DEBUG - Activity 161378: sampling based on floor area\n", - "2024-05-14 18:29:42,977 - acbm.assigning - DEBUG - Activity 161382: Initial number of options for activity = 59\n", - "2024-05-14 18:29:42,983 - acbm.assigning - DEBUG - Activity 161382: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:42,985 - acbm.assigning - DEBUG - Activity 161382: sampling based on floor area\n", - "2024-05-14 18:29:42,987 - acbm.assigning - DEBUG - Activity 161384: Initial number of options for activity = 59\n", - "2024-05-14 18:29:42,990 - acbm.assigning - DEBUG - Activity 161384: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:42,991 - acbm.assigning - DEBUG - Activity 161384: sampling based on floor area\n", - "2024-05-14 18:29:42,993 - acbm.assigning - DEBUG - Activity 161386: Initial number of options for activity = 59\n", - "2024-05-14 18:29:42,996 - acbm.assigning - DEBUG - Activity 161386: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:42,997 - acbm.assigning - DEBUG - Activity 161386: sampling based on floor area\n", - "2024-05-14 18:29:42,999 - acbm.assigning - INFO - Activity 161550: No zones available\n", - "2024-05-14 18:29:43,000 - acbm.assigning - INFO - Activity 161553: No zones available\n", - "2024-05-14 18:29:43,000 - acbm.assigning - INFO - Activity 161555: No zones available\n", - "2024-05-14 18:29:43,001 - acbm.assigning - INFO - Activity 161557: No zones available\n", - "2024-05-14 18:29:43,001 - acbm.assigning - INFO - Activity 161561: No zones available\n", - "2024-05-14 18:29:43,002 - acbm.assigning - INFO - Activity 161563: No zones available\n", - "2024-05-14 18:29:43,002 - acbm.assigning - INFO - Activity 161566: No zones available\n", - "2024-05-14 18:29:43,003 - acbm.assigning - INFO - Activity 161568: No zones available\n", - "2024-05-14 18:29:43,003 - acbm.assigning - INFO - Activity 161570: No zones available\n", - "2024-05-14 18:29:43,004 - acbm.assigning - INFO - Activity 161576: No zones available\n", - "2024-05-14 18:29:43,004 - acbm.assigning - DEBUG - Activity 161704: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,006 - acbm.assigning - DEBUG - Activity 161704: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,007 - acbm.assigning - DEBUG - Activity 161704: sampling based on floor area\n", - "2024-05-14 18:29:43,008 - acbm.assigning - DEBUG - Activity 161706: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,010 - acbm.assigning - DEBUG - Activity 161706: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,011 - acbm.assigning - DEBUG - Activity 161706: sampling based on floor area\n", - "2024-05-14 18:29:43,013 - acbm.assigning - DEBUG - Activity 161708: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,015 - acbm.assigning - DEBUG - Activity 161708: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,016 - acbm.assigning - DEBUG - Activity 161708: sampling based on floor area\n", - "2024-05-14 18:29:43,017 - acbm.assigning - DEBUG - Activity 161710: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,020 - acbm.assigning - DEBUG - Activity 161710: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,021 - acbm.assigning - DEBUG - Activity 161710: sampling based on floor area\n", - "2024-05-14 18:29:43,022 - acbm.assigning - DEBUG - Activity 161712: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,025 - acbm.assigning - DEBUG - Activity 161712: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,026 - acbm.assigning - DEBUG - Activity 161712: sampling based on floor area\n", - "2024-05-14 18:29:43,027 - acbm.assigning - DEBUG - Activity 161970: Initial number of options for activity = 17\n", - "2024-05-14 18:29:43,029 - acbm.assigning - DEBUG - Activity 161970: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:43,030 - acbm.assigning - DEBUG - Activity 161970: sampling based on floor area\n", - "2024-05-14 18:29:43,031 - acbm.assigning - DEBUG - Activity 161974: Initial number of options for activity = 17\n", - "2024-05-14 18:29:43,033 - acbm.assigning - DEBUG - Activity 161974: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:43,034 - acbm.assigning - DEBUG - Activity 161974: sampling based on floor area\n", - "2024-05-14 18:29:43,035 - acbm.assigning - DEBUG - Activity 161976: Initial number of options for activity = 17\n", - "2024-05-14 18:29:43,038 - acbm.assigning - DEBUG - Activity 161976: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:43,039 - acbm.assigning - DEBUG - Activity 161976: sampling based on floor area\n", - "2024-05-14 18:29:43,040 - acbm.assigning - DEBUG - Activity 161978: Initial number of options for activity = 17\n", - "2024-05-14 18:29:43,042 - acbm.assigning - DEBUG - Activity 161978: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:43,043 - acbm.assigning - DEBUG - Activity 161978: sampling based on floor area\n", - "2024-05-14 18:29:43,044 - acbm.assigning - DEBUG - Activity 161981: Initial number of options for activity = 17\n", - "2024-05-14 18:29:43,046 - acbm.assigning - DEBUG - Activity 161981: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:43,047 - acbm.assigning - DEBUG - Activity 161981: sampling based on floor area\n", - "2024-05-14 18:29:43,049 - acbm.assigning - DEBUG - Activity 162014: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,051 - acbm.assigning - DEBUG - Activity 162014: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,052 - acbm.assigning - DEBUG - Activity 162014: sampling based on floor area\n", - "2024-05-14 18:29:43,054 - acbm.assigning - DEBUG - Activity 162016: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,056 - acbm.assigning - DEBUG - Activity 162016: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,057 - acbm.assigning - DEBUG - Activity 162016: sampling based on floor area\n", - "2024-05-14 18:29:43,058 - acbm.assigning - DEBUG - Activity 162018: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,060 - acbm.assigning - DEBUG - Activity 162018: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,061 - acbm.assigning - DEBUG - Activity 162018: sampling based on floor area\n", - "2024-05-14 18:29:43,063 - acbm.assigning - DEBUG - Activity 162020: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,065 - acbm.assigning - DEBUG - Activity 162020: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,066 - acbm.assigning - DEBUG - Activity 162020: sampling based on floor area\n", - "2024-05-14 18:29:43,067 - acbm.assigning - DEBUG - Activity 162022: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,070 - acbm.assigning - DEBUG - Activity 162022: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,071 - acbm.assigning - DEBUG - Activity 162022: sampling based on floor area\n", - "2024-05-14 18:29:43,073 - acbm.assigning - DEBUG - Activity 162186: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,076 - acbm.assigning - DEBUG - Activity 162186: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,077 - acbm.assigning - DEBUG - Activity 162186: sampling based on floor area\n", - "2024-05-14 18:29:43,079 - acbm.assigning - DEBUG - Activity 162188: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,083 - acbm.assigning - DEBUG - Activity 162188: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,084 - acbm.assigning - DEBUG - Activity 162188: sampling based on floor area\n", - "2024-05-14 18:29:43,085 - acbm.assigning - DEBUG - Activity 162190: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,100 - acbm.assigning - DEBUG - Activity 162190: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,102 - acbm.assigning - DEBUG - Activity 162190: sampling based on floor area\n", - "2024-05-14 18:29:43,103 - acbm.assigning - DEBUG - Activity 162192: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,106 - acbm.assigning - DEBUG - Activity 162192: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,107 - acbm.assigning - DEBUG - Activity 162192: sampling based on floor area\n", - "2024-05-14 18:29:43,108 - acbm.assigning - DEBUG - Activity 162254: Initial number of options for activity = 4\n", - "2024-05-14 18:29:43,111 - acbm.assigning - DEBUG - Activity 162254: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:43,112 - acbm.assigning - DEBUG - Activity 162254: sampling based on floor area\n", - "2024-05-14 18:29:43,114 - acbm.assigning - INFO - Activity 162392: No zones available\n", - "2024-05-14 18:29:43,115 - acbm.assigning - DEBUG - Activity 162401: Initial number of options for activity = 2\n", - "2024-05-14 18:29:43,117 - acbm.assigning - DEBUG - Activity 162401: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:43,118 - acbm.assigning - DEBUG - Activity 162401: sampling based on floor area\n", - "2024-05-14 18:29:43,119 - acbm.assigning - DEBUG - Activity 162402: Initial number of options for activity = 2\n", - "2024-05-14 18:29:43,121 - acbm.assigning - DEBUG - Activity 162402: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:43,122 - acbm.assigning - DEBUG - Activity 162402: sampling based on floor area\n", - "2024-05-14 18:29:43,123 - acbm.assigning - DEBUG - Activity 162405: Initial number of options for activity = 2\n", - "2024-05-14 18:29:43,126 - acbm.assigning - DEBUG - Activity 162405: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:43,127 - acbm.assigning - DEBUG - Activity 162405: sampling based on floor area\n", - "2024-05-14 18:29:43,129 - acbm.assigning - INFO - Activity 162407: No zones available\n", - "2024-05-14 18:29:43,130 - acbm.assigning - DEBUG - Activity 162410: Initial number of options for activity = 2\n", - "2024-05-14 18:29:43,132 - acbm.assigning - DEBUG - Activity 162410: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:43,133 - acbm.assigning - DEBUG - Activity 162410: sampling based on floor area\n", - "2024-05-14 18:29:43,144 - acbm.assigning - INFO - Activity 162416: No zones available\n", - "2024-05-14 18:29:43,145 - acbm.assigning - INFO - Activity 162418: No zones available\n", - "2024-05-14 18:29:43,146 - acbm.assigning - INFO - Activity 162419: No zones available\n", - "2024-05-14 18:29:43,146 - acbm.assigning - INFO - Activity 162420: No zones available\n", - "2024-05-14 18:29:43,147 - acbm.assigning - INFO - Activity 162421: No zones available\n", - "2024-05-14 18:29:43,148 - acbm.assigning - DEBUG - Activity 162565: Initial number of options for activity = 47\n", - "2024-05-14 18:29:43,150 - acbm.assigning - DEBUG - Activity 162565: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:43,151 - acbm.assigning - DEBUG - Activity 162565: sampling based on floor area\n", - "2024-05-14 18:29:43,152 - acbm.assigning - INFO - Activity 162572: No zones available\n", - "2024-05-14 18:29:43,153 - acbm.assigning - DEBUG - Activity 162574: Initial number of options for activity = 47\n", - "2024-05-14 18:29:43,156 - acbm.assigning - DEBUG - Activity 162574: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:43,157 - acbm.assigning - DEBUG - Activity 162574: sampling based on floor area\n", - "2024-05-14 18:29:43,158 - acbm.assigning - DEBUG - Activity 162575: Initial number of options for activity = 47\n", - "2024-05-14 18:29:43,161 - acbm.assigning - DEBUG - Activity 162575: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:43,162 - acbm.assigning - DEBUG - Activity 162575: sampling based on floor area\n", - "2024-05-14 18:29:43,163 - acbm.assigning - DEBUG - Activity 162579: Initial number of options for activity = 47\n", - "2024-05-14 18:29:43,166 - acbm.assigning - DEBUG - Activity 162579: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:43,168 - acbm.assigning - DEBUG - Activity 162579: sampling based on floor area\n", - "2024-05-14 18:29:43,169 - acbm.assigning - DEBUG - Activity 162625: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,173 - acbm.assigning - DEBUG - Activity 162625: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,174 - acbm.assigning - DEBUG - Activity 162625: sampling based on floor area\n", - "2024-05-14 18:29:43,175 - acbm.assigning - DEBUG - Activity 162629: Initial number of options for activity = 9\n", - "2024-05-14 18:29:43,177 - acbm.assigning - DEBUG - Activity 162629: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:43,178 - acbm.assigning - DEBUG - Activity 162629: sampling based on floor area\n", - "2024-05-14 18:29:43,179 - acbm.assigning - DEBUG - Activity 162634: Initial number of options for activity = 9\n", - "2024-05-14 18:29:43,181 - acbm.assigning - DEBUG - Activity 162634: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:43,182 - acbm.assigning - DEBUG - Activity 162634: sampling based on floor area\n", - "2024-05-14 18:29:43,183 - acbm.assigning - INFO - Activity 162774: No zones available\n", - "2024-05-14 18:29:43,183 - acbm.assigning - INFO - Activity 162776: No zones available\n", - "2024-05-14 18:29:43,184 - acbm.assigning - INFO - Activity 162778: No zones available\n", - "2024-05-14 18:29:43,184 - acbm.assigning - INFO - Activity 162780: No zones available\n", - "2024-05-14 18:29:43,185 - acbm.assigning - DEBUG - Activity 162790: Initial number of options for activity = 14\n", - "2024-05-14 18:29:43,186 - acbm.assigning - DEBUG - Activity 162790: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:43,187 - acbm.assigning - DEBUG - Activity 162790: sampling based on floor area\n", - "2024-05-14 18:29:43,188 - acbm.assigning - DEBUG - Activity 162792: Initial number of options for activity = 14\n", - "2024-05-14 18:29:43,189 - acbm.assigning - DEBUG - Activity 162792: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:43,190 - acbm.assigning - DEBUG - Activity 162792: sampling based on floor area\n", - "2024-05-14 18:29:43,191 - acbm.assigning - DEBUG - Activity 162794: Initial number of options for activity = 14\n", - "2024-05-14 18:29:43,194 - acbm.assigning - DEBUG - Activity 162794: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:43,195 - acbm.assigning - DEBUG - Activity 162794: sampling based on floor area\n", - "2024-05-14 18:29:43,196 - acbm.assigning - DEBUG - Activity 162796: Initial number of options for activity = 14\n", - "2024-05-14 18:29:43,199 - acbm.assigning - DEBUG - Activity 162796: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:43,200 - acbm.assigning - DEBUG - Activity 162796: sampling based on floor area\n", - "2024-05-14 18:29:43,201 - acbm.assigning - INFO - Activity 162818: No zones available\n", - "2024-05-14 18:29:43,202 - acbm.assigning - INFO - Activity 162820: No zones available\n", - "2024-05-14 18:29:43,203 - acbm.assigning - INFO - Activity 162822: No zones available\n", - "2024-05-14 18:29:43,203 - acbm.assigning - INFO - Activity 162824: No zones available\n", - "2024-05-14 18:29:43,204 - acbm.assigning - DEBUG - Activity 162862: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,207 - acbm.assigning - DEBUG - Activity 162862: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,208 - acbm.assigning - DEBUG - Activity 162862: sampling based on floor area\n", - "2024-05-14 18:29:43,210 - acbm.assigning - DEBUG - Activity 162864: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,214 - acbm.assigning - DEBUG - Activity 162864: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,215 - acbm.assigning - DEBUG - Activity 162864: sampling based on floor area\n", - "2024-05-14 18:29:43,216 - acbm.assigning - DEBUG - Activity 162867: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,219 - acbm.assigning - DEBUG - Activity 162867: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,220 - acbm.assigning - DEBUG - Activity 162867: sampling based on floor area\n", - "2024-05-14 18:29:43,222 - acbm.assigning - DEBUG - Activity 162869: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,226 - acbm.assigning - DEBUG - Activity 162869: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,227 - acbm.assigning - DEBUG - Activity 162869: sampling based on floor area\n", - "2024-05-14 18:29:43,229 - acbm.assigning - DEBUG - Activity 162874: Initial number of options for activity = 49\n", - "2024-05-14 18:29:43,243 - acbm.assigning - DEBUG - Activity 162874: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:43,244 - acbm.assigning - DEBUG - Activity 162874: sampling based on floor area\n", - "2024-05-14 18:29:43,246 - acbm.assigning - INFO - Activity 162935: No zones available\n", - "2024-05-14 18:29:43,247 - acbm.assigning - DEBUG - Activity 162970: Initial number of options for activity = 139\n", - "2024-05-14 18:29:43,249 - acbm.assigning - DEBUG - Activity 162970: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:43,251 - acbm.assigning - DEBUG - Activity 162970: sampling based on floor area\n", - "2024-05-14 18:29:43,252 - acbm.assigning - DEBUG - Activity 162973: Initial number of options for activity = 139\n", - "2024-05-14 18:29:43,254 - acbm.assigning - DEBUG - Activity 162973: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:43,255 - acbm.assigning - DEBUG - Activity 162973: sampling based on floor area\n", - "2024-05-14 18:29:43,256 - acbm.assigning - INFO - Activity 163015: No zones available\n", - "2024-05-14 18:29:43,257 - acbm.assigning - DEBUG - Activity 163046: Initial number of options for activity = 140\n", - "2024-05-14 18:29:43,259 - acbm.assigning - DEBUG - Activity 163046: Number of options after filtering by education type: 140\n", - "2024-05-14 18:29:43,261 - acbm.assigning - DEBUG - Activity 163046: sampling based on floor area\n", - "2024-05-14 18:29:43,262 - acbm.assigning - DEBUG - Activity 163050: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,264 - acbm.assigning - DEBUG - Activity 163050: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,265 - acbm.assigning - DEBUG - Activity 163050: sampling based on floor area\n", - "2024-05-14 18:29:43,266 - acbm.assigning - DEBUG - Activity 163051: Initial number of options for activity = 2\n", - "2024-05-14 18:29:43,268 - acbm.assigning - DEBUG - Activity 163051: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:43,269 - acbm.assigning - DEBUG - Activity 163051: sampling based on floor area\n", - "2024-05-14 18:29:43,269 - acbm.assigning - DEBUG - Activity 163241: Initial number of options for activity = 126\n", - "2024-05-14 18:29:43,271 - acbm.assigning - DEBUG - Activity 163241: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:43,272 - acbm.assigning - DEBUG - Activity 163241: sampling based on floor area\n", - "2024-05-14 18:29:43,273 - acbm.assigning - DEBUG - Activity 163243: Initial number of options for activity = 126\n", - "2024-05-14 18:29:43,274 - acbm.assigning - DEBUG - Activity 163243: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:43,274 - acbm.assigning - DEBUG - Activity 163243: sampling based on floor area\n", - "2024-05-14 18:29:43,275 - acbm.assigning - DEBUG - Activity 163245: Initial number of options for activity = 126\n", - "2024-05-14 18:29:43,277 - acbm.assigning - DEBUG - Activity 163245: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:43,277 - acbm.assigning - DEBUG - Activity 163245: sampling based on floor area\n", - "2024-05-14 18:29:43,278 - acbm.assigning - DEBUG - Activity 163247: Initial number of options for activity = 126\n", - "2024-05-14 18:29:43,280 - acbm.assigning - DEBUG - Activity 163247: Number of options after filtering by education type: 126\n", - "2024-05-14 18:29:43,280 - acbm.assigning - DEBUG - Activity 163247: sampling based on floor area\n", - "2024-05-14 18:29:43,282 - acbm.assigning - DEBUG - Activity 163261: Initial number of options for activity = 7\n", - "2024-05-14 18:29:43,283 - acbm.assigning - DEBUG - Activity 163261: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:43,284 - acbm.assigning - DEBUG - Activity 163261: sampling based on floor area\n", - "2024-05-14 18:29:43,285 - acbm.assigning - DEBUG - Activity 163377: Initial number of options for activity = 139\n", - "2024-05-14 18:29:43,287 - acbm.assigning - DEBUG - Activity 163377: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:43,287 - acbm.assigning - DEBUG - Activity 163377: sampling based on floor area\n", - "2024-05-14 18:29:43,288 - acbm.assigning - DEBUG - Activity 163379: Initial number of options for activity = 139\n", - "2024-05-14 18:29:43,291 - acbm.assigning - DEBUG - Activity 163379: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:43,292 - acbm.assigning - DEBUG - Activity 163379: sampling based on floor area\n", - "2024-05-14 18:29:43,293 - acbm.assigning - DEBUG - Activity 163381: Initial number of options for activity = 139\n", - "2024-05-14 18:29:43,295 - acbm.assigning - DEBUG - Activity 163381: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:43,296 - acbm.assigning - DEBUG - Activity 163381: sampling based on floor area\n", - "2024-05-14 18:29:43,297 - acbm.assigning - DEBUG - Activity 163383: Initial number of options for activity = 139\n", - "2024-05-14 18:29:43,300 - acbm.assigning - DEBUG - Activity 163383: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:43,301 - acbm.assigning - DEBUG - Activity 163383: sampling based on floor area\n", - "2024-05-14 18:29:43,302 - acbm.assigning - DEBUG - Activity 163387: Initial number of options for activity = 139\n", - "2024-05-14 18:29:43,305 - acbm.assigning - DEBUG - Activity 163387: Number of options after filtering by education type: 139\n", - "2024-05-14 18:29:43,306 - acbm.assigning - DEBUG - Activity 163387: sampling based on floor area\n", - "2024-05-14 18:29:43,308 - acbm.assigning - DEBUG - Activity 163430: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,311 - acbm.assigning - DEBUG - Activity 163430: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,312 - acbm.assigning - DEBUG - Activity 163430: sampling based on floor area\n", - "2024-05-14 18:29:43,314 - acbm.assigning - DEBUG - Activity 163436: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,318 - acbm.assigning - DEBUG - Activity 163436: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,319 - acbm.assigning - DEBUG - Activity 163436: sampling based on floor area\n", - "2024-05-14 18:29:43,321 - acbm.assigning - DEBUG - Activity 163438: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,323 - acbm.assigning - DEBUG - Activity 163438: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,324 - acbm.assigning - DEBUG - Activity 163438: sampling based on floor area\n", - "2024-05-14 18:29:43,325 - acbm.assigning - DEBUG - Activity 163440: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,326 - acbm.assigning - DEBUG - Activity 163440: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,327 - acbm.assigning - DEBUG - Activity 163440: sampling based on floor area\n", - "2024-05-14 18:29:43,328 - acbm.assigning - DEBUG - Activity 163442: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,329 - acbm.assigning - DEBUG - Activity 163442: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,330 - acbm.assigning - DEBUG - Activity 163442: sampling based on floor area\n", - "2024-05-14 18:29:43,332 - acbm.assigning - DEBUG - Activity 163444: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,334 - acbm.assigning - DEBUG - Activity 163444: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,335 - acbm.assigning - DEBUG - Activity 163444: sampling based on floor area\n", - "2024-05-14 18:29:43,337 - acbm.assigning - INFO - Activity 163614: No zones available\n", - "2024-05-14 18:29:43,337 - acbm.assigning - INFO - Activity 163883: No zones available\n", - "2024-05-14 18:29:43,338 - acbm.assigning - DEBUG - Activity 163885: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,339 - acbm.assigning - DEBUG - Activity 163885: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,340 - acbm.assigning - DEBUG - Activity 163885: sampling based on floor area\n", - "2024-05-14 18:29:43,341 - acbm.assigning - DEBUG - Activity 163888: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,343 - acbm.assigning - DEBUG - Activity 163888: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,343 - acbm.assigning - DEBUG - Activity 163888: sampling based on floor area\n", - "2024-05-14 18:29:43,344 - acbm.assigning - DEBUG - Activity 163897: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,346 - acbm.assigning - DEBUG - Activity 163897: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,347 - acbm.assigning - DEBUG - Activity 163897: sampling based on floor area\n", - "2024-05-14 18:29:43,348 - acbm.assigning - DEBUG - Activity 163900: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,350 - acbm.assigning - DEBUG - Activity 163900: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,351 - acbm.assigning - DEBUG - Activity 163900: sampling based on floor area\n", - "2024-05-14 18:29:43,353 - acbm.assigning - DEBUG - Activity 163948: Initial number of options for activity = 154\n", - "2024-05-14 18:29:43,355 - acbm.assigning - DEBUG - Activity 163948: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:43,356 - acbm.assigning - DEBUG - Activity 163948: sampling based on floor area\n", - "2024-05-14 18:29:43,356 - acbm.assigning - DEBUG - Activity 163950: Initial number of options for activity = 154\n", - "2024-05-14 18:29:43,358 - acbm.assigning - DEBUG - Activity 163950: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:43,359 - acbm.assigning - DEBUG - Activity 163950: sampling based on floor area\n", - "2024-05-14 18:29:43,360 - acbm.assigning - DEBUG - Activity 163952: Initial number of options for activity = 154\n", - "2024-05-14 18:29:43,362 - acbm.assigning - DEBUG - Activity 163952: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:43,363 - acbm.assigning - DEBUG - Activity 163952: sampling based on floor area\n", - "2024-05-14 18:29:43,365 - acbm.assigning - DEBUG - Activity 163954: Initial number of options for activity = 154\n", - "2024-05-14 18:29:43,367 - acbm.assigning - DEBUG - Activity 163954: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:43,368 - acbm.assigning - DEBUG - Activity 163954: sampling based on floor area\n", - "2024-05-14 18:29:43,370 - acbm.assigning - DEBUG - Activity 164400: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,373 - acbm.assigning - DEBUG - Activity 164400: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,373 - acbm.assigning - DEBUG - Activity 164400: sampling based on floor area\n", - "2024-05-14 18:29:43,375 - acbm.assigning - DEBUG - Activity 164403: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,377 - acbm.assigning - DEBUG - Activity 164403: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,377 - acbm.assigning - DEBUG - Activity 164403: sampling based on floor area\n", - "2024-05-14 18:29:43,378 - acbm.assigning - DEBUG - Activity 164404: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,381 - acbm.assigning - DEBUG - Activity 164404: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,382 - acbm.assigning - DEBUG - Activity 164404: sampling based on floor area\n", - "2024-05-14 18:29:43,383 - acbm.assigning - DEBUG - Activity 164406: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,386 - acbm.assigning - DEBUG - Activity 164406: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,386 - acbm.assigning - DEBUG - Activity 164406: sampling based on floor area\n", - "2024-05-14 18:29:43,388 - acbm.assigning - DEBUG - Activity 164409: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,391 - acbm.assigning - DEBUG - Activity 164409: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,393 - acbm.assigning - DEBUG - Activity 164409: sampling based on floor area\n", - "2024-05-14 18:29:43,398 - acbm.assigning - DEBUG - Activity 164629: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,402 - acbm.assigning - DEBUG - Activity 164629: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,403 - acbm.assigning - DEBUG - Activity 164629: sampling based on floor area\n", - "2024-05-14 18:29:43,405 - acbm.assigning - DEBUG - Activity 164631: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,408 - acbm.assigning - DEBUG - Activity 164631: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,410 - acbm.assigning - DEBUG - Activity 164631: sampling based on floor area\n", - "2024-05-14 18:29:43,412 - acbm.assigning - DEBUG - Activity 164633: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,416 - acbm.assigning - DEBUG - Activity 164633: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,417 - acbm.assigning - DEBUG - Activity 164633: sampling based on floor area\n", - "2024-05-14 18:29:43,419 - acbm.assigning - DEBUG - Activity 164635: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,422 - acbm.assigning - DEBUG - Activity 164635: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,423 - acbm.assigning - DEBUG - Activity 164635: sampling based on floor area\n", - "2024-05-14 18:29:43,425 - acbm.assigning - DEBUG - Activity 164808: Initial number of options for activity = 151\n", - "2024-05-14 18:29:43,429 - acbm.assigning - DEBUG - Activity 164808: Number of options after filtering by education type: 151\n", - "2024-05-14 18:29:43,432 - acbm.assigning - DEBUG - Activity 164808: sampling based on floor area\n", - "2024-05-14 18:29:43,434 - acbm.assigning - DEBUG - Activity 164810: Initial number of options for activity = 151\n", - "2024-05-14 18:29:43,438 - acbm.assigning - DEBUG - Activity 164810: Number of options after filtering by education type: 151\n", - "2024-05-14 18:29:43,439 - acbm.assigning - DEBUG - Activity 164810: sampling based on floor area\n", - "2024-05-14 18:29:43,441 - acbm.assigning - DEBUG - Activity 164814: Initial number of options for activity = 151\n", - "2024-05-14 18:29:43,444 - acbm.assigning - DEBUG - Activity 164814: Number of options after filtering by education type: 151\n", - "2024-05-14 18:29:43,445 - acbm.assigning - DEBUG - Activity 164814: sampling based on floor area\n", - "2024-05-14 18:29:43,449 - acbm.assigning - DEBUG - Activity 164816: Initial number of options for activity = 151\n", - "2024-05-14 18:29:43,452 - acbm.assigning - DEBUG - Activity 164816: Number of options after filtering by education type: 151\n", - "2024-05-14 18:29:43,454 - acbm.assigning - DEBUG - Activity 164816: sampling based on floor area\n", - "2024-05-14 18:29:43,455 - acbm.assigning - DEBUG - Activity 164818: Initial number of options for activity = 151\n", - "2024-05-14 18:29:43,459 - acbm.assigning - DEBUG - Activity 164818: Number of options after filtering by education type: 151\n", - "2024-05-14 18:29:43,460 - acbm.assigning - DEBUG - Activity 164818: sampling based on floor area\n", - "2024-05-14 18:29:43,461 - acbm.assigning - DEBUG - Activity 164844: Initial number of options for activity = 38\n", - "2024-05-14 18:29:43,465 - acbm.assigning - DEBUG - Activity 164844: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:43,467 - acbm.assigning - DEBUG - Activity 164844: sampling based on floor area\n", - "2024-05-14 18:29:43,469 - acbm.assigning - DEBUG - Activity 164846: Initial number of options for activity = 38\n", - "2024-05-14 18:29:43,473 - acbm.assigning - DEBUG - Activity 164846: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:43,474 - acbm.assigning - DEBUG - Activity 164846: sampling based on floor area\n", - "2024-05-14 18:29:43,476 - acbm.assigning - DEBUG - Activity 164983: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,479 - acbm.assigning - DEBUG - Activity 164983: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,481 - acbm.assigning - DEBUG - Activity 164983: sampling based on floor area\n", - "2024-05-14 18:29:43,483 - acbm.assigning - DEBUG - Activity 164986: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,486 - acbm.assigning - DEBUG - Activity 164986: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,488 - acbm.assigning - DEBUG - Activity 164986: sampling based on floor area\n", - "2024-05-14 18:29:43,490 - acbm.assigning - DEBUG - Activity 164987: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,493 - acbm.assigning - DEBUG - Activity 164987: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,494 - acbm.assigning - DEBUG - Activity 164987: sampling based on floor area\n", - "2024-05-14 18:29:43,496 - acbm.assigning - DEBUG - Activity 164989: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,499 - acbm.assigning - DEBUG - Activity 164989: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,501 - acbm.assigning - DEBUG - Activity 164989: sampling based on floor area\n", - "2024-05-14 18:29:43,502 - acbm.assigning - DEBUG - Activity 164992: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,505 - acbm.assigning - DEBUG - Activity 164992: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,505 - acbm.assigning - DEBUG - Activity 164992: sampling based on floor area\n", - "2024-05-14 18:29:43,507 - acbm.assigning - INFO - Activity 165020: No zones available\n", - "2024-05-14 18:29:43,507 - acbm.assigning - DEBUG - Activity 165025: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,509 - acbm.assigning - DEBUG - Activity 165025: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,510 - acbm.assigning - DEBUG - Activity 165025: sampling based on floor area\n", - "2024-05-14 18:29:43,511 - acbm.assigning - INFO - Activity 165106: No zones available\n", - "2024-05-14 18:29:43,512 - acbm.assigning - DEBUG - Activity 165141: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,514 - acbm.assigning - DEBUG - Activity 165141: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,515 - acbm.assigning - DEBUG - Activity 165141: sampling based on floor area\n", - "2024-05-14 18:29:43,517 - acbm.assigning - DEBUG - Activity 165143: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,520 - acbm.assigning - DEBUG - Activity 165143: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,521 - acbm.assigning - DEBUG - Activity 165143: sampling based on floor area\n", - "2024-05-14 18:29:43,523 - acbm.assigning - DEBUG - Activity 165145: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,525 - acbm.assigning - DEBUG - Activity 165145: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,527 - acbm.assigning - DEBUG - Activity 165145: sampling based on floor area\n", - "2024-05-14 18:29:43,529 - acbm.assigning - DEBUG - Activity 165151: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,533 - acbm.assigning - DEBUG - Activity 165151: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,534 - acbm.assigning - DEBUG - Activity 165151: sampling based on floor area\n", - "2024-05-14 18:29:43,536 - acbm.assigning - INFO - Activity 165232: No zones available\n", - "2024-05-14 18:29:43,537 - acbm.assigning - INFO - Activity 165233: No zones available\n", - "2024-05-14 18:29:43,538 - acbm.assigning - INFO - Activity 165237: No zones available\n", - "2024-05-14 18:29:43,538 - acbm.assigning - INFO - Activity 165238: No zones available\n", - "2024-05-14 18:29:43,539 - acbm.assigning - INFO - Activity 165239: No zones available\n", - "2024-05-14 18:29:43,540 - acbm.assigning - DEBUG - Activity 165397: Initial number of options for activity = 7\n", - "2024-05-14 18:29:43,542 - acbm.assigning - DEBUG - Activity 165397: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:43,543 - acbm.assigning - DEBUG - Activity 165397: sampling based on floor area\n", - "2024-05-14 18:29:43,544 - acbm.assigning - DEBUG - Activity 165398: Initial number of options for activity = 5\n", - "2024-05-14 18:29:43,547 - acbm.assigning - DEBUG - Activity 165398: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:43,547 - acbm.assigning - DEBUG - Activity 165398: sampling based on floor area\n", - "2024-05-14 18:29:43,549 - acbm.assigning - INFO - KeyError: Key 165399 in possible_zones has no values\n", - "2024-05-14 18:29:43,550 - acbm.assigning - DEBUG - Activity 165457: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,552 - acbm.assigning - DEBUG - Activity 165457: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,553 - acbm.assigning - DEBUG - Activity 165457: sampling based on floor area\n", - "2024-05-14 18:29:43,554 - acbm.assigning - DEBUG - Activity 165459: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,558 - acbm.assigning - DEBUG - Activity 165459: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,559 - acbm.assigning - DEBUG - Activity 165459: sampling based on floor area\n", - "2024-05-14 18:29:43,560 - acbm.assigning - DEBUG - Activity 165461: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,562 - acbm.assigning - DEBUG - Activity 165461: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,563 - acbm.assigning - DEBUG - Activity 165461: sampling based on floor area\n", - "2024-05-14 18:29:43,565 - acbm.assigning - DEBUG - Activity 165463: Initial number of options for activity = 57\n", - "2024-05-14 18:29:43,568 - acbm.assigning - DEBUG - Activity 165463: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:43,577 - acbm.assigning - DEBUG - Activity 165463: sampling based on floor area\n", - "2024-05-14 18:29:43,582 - acbm.assigning - DEBUG - Activity 165587: Initial number of options for activity = 141\n", - "2024-05-14 18:29:43,586 - acbm.assigning - DEBUG - Activity 165587: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:43,587 - acbm.assigning - DEBUG - Activity 165587: sampling based on floor area\n", - "2024-05-14 18:29:43,588 - acbm.assigning - DEBUG - Activity 165589: Initial number of options for activity = 115\n", - "2024-05-14 18:29:43,590 - acbm.assigning - DEBUG - Activity 165589: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:43,591 - acbm.assigning - DEBUG - Activity 165589: sampling based on floor area\n", - "2024-05-14 18:29:43,592 - acbm.assigning - DEBUG - Activity 165590: Initial number of options for activity = 141\n", - "2024-05-14 18:29:43,598 - acbm.assigning - DEBUG - Activity 165590: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:43,599 - acbm.assigning - DEBUG - Activity 165590: sampling based on floor area\n", - "2024-05-14 18:29:43,600 - acbm.assigning - DEBUG - Activity 165595: Initial number of options for activity = 104\n", - "2024-05-14 18:29:43,602 - acbm.assigning - DEBUG - Activity 165595: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:43,603 - acbm.assigning - DEBUG - Activity 165595: sampling based on floor area\n", - "2024-05-14 18:29:43,604 - acbm.assigning - DEBUG - Activity 165597: Initial number of options for activity = 141\n", - "2024-05-14 18:29:43,606 - acbm.assigning - DEBUG - Activity 165597: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:43,606 - acbm.assigning - DEBUG - Activity 165597: sampling based on floor area\n", - "2024-05-14 18:29:43,607 - acbm.assigning - DEBUG - Activity 165605: Initial number of options for activity = 32\n", - "2024-05-14 18:29:43,609 - acbm.assigning - DEBUG - Activity 165605: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:43,610 - acbm.assigning - DEBUG - Activity 165605: sampling based on floor area\n", - "2024-05-14 18:29:43,612 - acbm.assigning - DEBUG - Activity 165609: Initial number of options for activity = 48\n", - "2024-05-14 18:29:43,614 - acbm.assigning - DEBUG - Activity 165609: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:43,615 - acbm.assigning - DEBUG - Activity 165609: sampling based on floor area\n", - "2024-05-14 18:29:43,618 - acbm.assigning - DEBUG - Activity 165611: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,620 - acbm.assigning - DEBUG - Activity 165611: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,621 - acbm.assigning - DEBUG - Activity 165611: sampling based on floor area\n", - "2024-05-14 18:29:43,622 - acbm.assigning - DEBUG - Activity 165612: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,624 - acbm.assigning - DEBUG - Activity 165612: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,625 - acbm.assigning - DEBUG - Activity 165612: sampling based on floor area\n", - "2024-05-14 18:29:43,626 - acbm.assigning - DEBUG - Activity 165613: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,627 - acbm.assigning - DEBUG - Activity 165613: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,628 - acbm.assigning - DEBUG - Activity 165613: sampling based on floor area\n", - "2024-05-14 18:29:43,629 - acbm.assigning - DEBUG - Activity 165685: Initial number of options for activity = 7\n", - "2024-05-14 18:29:43,631 - acbm.assigning - DEBUG - Activity 165685: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:43,632 - acbm.assigning - DEBUG - Activity 165685: sampling based on floor area\n", - "2024-05-14 18:29:43,633 - acbm.assigning - DEBUG - Activity 165689: Initial number of options for activity = 90\n", - "2024-05-14 18:29:43,637 - acbm.assigning - DEBUG - Activity 165689: Number of options after filtering by education type: 90\n", - "2024-05-14 18:29:43,638 - acbm.assigning - DEBUG - Activity 165689: sampling based on floor area\n", - "2024-05-14 18:29:43,650 - acbm.assigning - DEBUG - Activity 165691: Initial number of options for activity = 81\n", - "2024-05-14 18:29:43,653 - acbm.assigning - DEBUG - Activity 165691: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:43,655 - acbm.assigning - DEBUG - Activity 165691: sampling based on floor area\n", - "2024-05-14 18:29:43,656 - acbm.assigning - DEBUG - Activity 165693: Initial number of options for activity = 7\n", - "2024-05-14 18:29:43,659 - acbm.assigning - DEBUG - Activity 165693: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:43,661 - acbm.assigning - DEBUG - Activity 165693: sampling based on floor area\n", - "2024-05-14 18:29:43,662 - acbm.assigning - DEBUG - Activity 165695: Initial number of options for activity = 13\n", - "2024-05-14 18:29:43,665 - acbm.assigning - DEBUG - Activity 165695: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:43,667 - acbm.assigning - DEBUG - Activity 165695: sampling based on floor area\n", - "2024-05-14 18:29:43,668 - acbm.assigning - DEBUG - Activity 165850: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,671 - acbm.assigning - DEBUG - Activity 165850: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,672 - acbm.assigning - DEBUG - Activity 165850: sampling based on floor area\n", - "2024-05-14 18:29:43,674 - acbm.assigning - DEBUG - Activity 165906: Initial number of options for activity = 11\n", - "2024-05-14 18:29:43,677 - acbm.assigning - DEBUG - Activity 165906: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:43,678 - acbm.assigning - DEBUG - Activity 165906: sampling based on floor area\n", - "2024-05-14 18:29:43,680 - acbm.assigning - DEBUG - Activity 166027: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,683 - acbm.assigning - DEBUG - Activity 166027: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,684 - acbm.assigning - DEBUG - Activity 166027: sampling based on floor area\n", - "2024-05-14 18:29:43,686 - acbm.assigning - DEBUG - Activity 166029: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,689 - acbm.assigning - DEBUG - Activity 166029: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,690 - acbm.assigning - DEBUG - Activity 166029: sampling based on floor area\n", - "2024-05-14 18:29:43,691 - acbm.assigning - DEBUG - Activity 166031: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,694 - acbm.assigning - DEBUG - Activity 166031: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,696 - acbm.assigning - DEBUG - Activity 166031: sampling based on floor area\n", - "2024-05-14 18:29:43,697 - acbm.assigning - DEBUG - Activity 166033: Initial number of options for activity = 58\n", - "2024-05-14 18:29:43,700 - acbm.assigning - DEBUG - Activity 166033: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:43,701 - acbm.assigning - DEBUG - Activity 166033: sampling based on floor area\n", - "2024-05-14 18:29:43,703 - acbm.assigning - DEBUG - Activity 166286: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,706 - acbm.assigning - DEBUG - Activity 166286: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,707 - acbm.assigning - DEBUG - Activity 166286: sampling based on floor area\n", - "2024-05-14 18:29:43,709 - acbm.assigning - DEBUG - Activity 166289: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,712 - acbm.assigning - DEBUG - Activity 166289: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,713 - acbm.assigning - DEBUG - Activity 166289: sampling based on floor area\n", - "2024-05-14 18:29:43,715 - acbm.assigning - DEBUG - Activity 166292: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,717 - acbm.assigning - DEBUG - Activity 166292: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,718 - acbm.assigning - DEBUG - Activity 166292: sampling based on floor area\n", - "2024-05-14 18:29:43,720 - acbm.assigning - DEBUG - Activity 166297: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,723 - acbm.assigning - DEBUG - Activity 166297: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,724 - acbm.assigning - DEBUG - Activity 166297: sampling based on floor area\n", - "2024-05-14 18:29:43,726 - acbm.assigning - DEBUG - Activity 166300: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,729 - acbm.assigning - DEBUG - Activity 166300: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,730 - acbm.assigning - DEBUG - Activity 166300: sampling based on floor area\n", - "2024-05-14 18:29:43,732 - acbm.assigning - DEBUG - Activity 166302: Initial number of options for activity = 13\n", - "2024-05-14 18:29:43,735 - acbm.assigning - DEBUG - Activity 166302: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:43,736 - acbm.assigning - DEBUG - Activity 166302: sampling based on floor area\n", - "2024-05-14 18:29:43,738 - acbm.assigning - DEBUG - Activity 166305: Initial number of options for activity = 13\n", - "2024-05-14 18:29:43,742 - acbm.assigning - DEBUG - Activity 166305: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:43,743 - acbm.assigning - DEBUG - Activity 166305: sampling based on floor area\n", - "2024-05-14 18:29:43,745 - acbm.assigning - DEBUG - Activity 166308: Initial number of options for activity = 13\n", - "2024-05-14 18:29:43,747 - acbm.assigning - DEBUG - Activity 166308: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:43,749 - acbm.assigning - DEBUG - Activity 166308: sampling based on floor area\n", - "2024-05-14 18:29:43,750 - acbm.assigning - DEBUG - Activity 166313: Initial number of options for activity = 13\n", - "2024-05-14 18:29:43,754 - acbm.assigning - DEBUG - Activity 166313: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:43,755 - acbm.assigning - DEBUG - Activity 166313: sampling based on floor area\n", - "2024-05-14 18:29:43,757 - acbm.assigning - DEBUG - Activity 166316: Initial number of options for activity = 13\n", - "2024-05-14 18:29:43,760 - acbm.assigning - DEBUG - Activity 166316: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:43,762 - acbm.assigning - DEBUG - Activity 166316: sampling based on floor area\n", - "2024-05-14 18:29:43,764 - acbm.assigning - DEBUG - Activity 166416: Initial number of options for activity = 5\n", - "2024-05-14 18:29:43,768 - acbm.assigning - DEBUG - Activity 166416: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:43,769 - acbm.assigning - DEBUG - Activity 166416: sampling based on floor area\n", - "2024-05-14 18:29:43,770 - acbm.assigning - INFO - Activity 166422: No zones available\n", - "2024-05-14 18:29:43,771 - acbm.assigning - DEBUG - Activity 166544: Initial number of options for activity = 78\n", - "2024-05-14 18:29:43,773 - acbm.assigning - DEBUG - Activity 166544: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:43,774 - acbm.assigning - DEBUG - Activity 166544: sampling based on floor area\n", - "2024-05-14 18:29:43,775 - acbm.assigning - DEBUG - Activity 166547: Initial number of options for activity = 78\n", - "2024-05-14 18:29:43,778 - acbm.assigning - DEBUG - Activity 166547: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:43,779 - acbm.assigning - DEBUG - Activity 166547: sampling based on floor area\n", - "2024-05-14 18:29:43,781 - acbm.assigning - DEBUG - Activity 166548: Initial number of options for activity = 78\n", - "2024-05-14 18:29:43,783 - acbm.assigning - DEBUG - Activity 166548: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:43,784 - acbm.assigning - DEBUG - Activity 166548: sampling based on floor area\n", - "2024-05-14 18:29:43,785 - acbm.assigning - DEBUG - Activity 166550: Initial number of options for activity = 78\n", - "2024-05-14 18:29:43,788 - acbm.assigning - DEBUG - Activity 166550: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:43,788 - acbm.assigning - DEBUG - Activity 166550: sampling based on floor area\n", - "2024-05-14 18:29:43,790 - acbm.assigning - DEBUG - Activity 166553: Initial number of options for activity = 78\n", - "2024-05-14 18:29:43,792 - acbm.assigning - DEBUG - Activity 166553: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:43,793 - acbm.assigning - DEBUG - Activity 166553: sampling based on floor area\n", - "2024-05-14 18:29:43,794 - acbm.assigning - DEBUG - Activity 166729: Initial number of options for activity = 113\n", - "2024-05-14 18:29:43,795 - acbm.assigning - DEBUG - Activity 166729: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:43,796 - acbm.assigning - DEBUG - Activity 166729: sampling based on floor area\n", - "2024-05-14 18:29:43,797 - acbm.assigning - DEBUG - Activity 166732: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,801 - acbm.assigning - DEBUG - Activity 166732: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,803 - acbm.assigning - DEBUG - Activity 166732: sampling based on floor area\n", - "2024-05-14 18:29:43,804 - acbm.assigning - DEBUG - Activity 166735: Initial number of options for activity = 71\n", - "2024-05-14 18:29:43,807 - acbm.assigning - DEBUG - Activity 166735: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:43,808 - acbm.assigning - DEBUG - Activity 166735: sampling based on floor area\n", - "2024-05-14 18:29:43,810 - acbm.assigning - DEBUG - Activity 166752: Initial number of options for activity = 85\n", - "2024-05-14 18:29:43,813 - acbm.assigning - DEBUG - Activity 166752: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:43,817 - acbm.assigning - DEBUG - Activity 166752: sampling based on floor area\n", - "2024-05-14 18:29:43,819 - acbm.assigning - DEBUG - Activity 166756: Initial number of options for activity = 85\n", - "2024-05-14 18:29:43,823 - acbm.assigning - DEBUG - Activity 166756: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:43,824 - acbm.assigning - DEBUG - Activity 166756: sampling based on floor area\n", - "2024-05-14 18:29:43,835 - acbm.assigning - DEBUG - Activity 166759: Initial number of options for activity = 66\n", - "2024-05-14 18:29:43,839 - acbm.assigning - DEBUG - Activity 166759: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:43,840 - acbm.assigning - DEBUG - Activity 166759: sampling based on floor area\n", - "2024-05-14 18:29:43,842 - acbm.assigning - DEBUG - Activity 166760: Initial number of options for activity = 66\n", - "2024-05-14 18:29:43,846 - acbm.assigning - DEBUG - Activity 166760: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:43,846 - acbm.assigning - DEBUG - Activity 166760: sampling based on floor area\n", - "2024-05-14 18:29:43,848 - acbm.assigning - DEBUG - Activity 166761: Initial number of options for activity = 85\n", - "2024-05-14 18:29:43,851 - acbm.assigning - DEBUG - Activity 166761: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:43,852 - acbm.assigning - DEBUG - Activity 166761: sampling based on floor area\n", - "2024-05-14 18:29:43,854 - acbm.assigning - DEBUG - Activity 166763: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,856 - acbm.assigning - DEBUG - Activity 166763: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,857 - acbm.assigning - DEBUG - Activity 166763: sampling based on floor area\n", - "2024-05-14 18:29:43,858 - acbm.assigning - INFO - Activity 166777: No zones available\n", - "2024-05-14 18:29:43,859 - acbm.assigning - DEBUG - Activity 166787: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,861 - acbm.assigning - DEBUG - Activity 166787: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,862 - acbm.assigning - DEBUG - Activity 166787: sampling based on floor area\n", - "2024-05-14 18:29:43,863 - acbm.assigning - DEBUG - Activity 166788: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,864 - acbm.assigning - DEBUG - Activity 166788: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,865 - acbm.assigning - DEBUG - Activity 166788: sampling based on floor area\n", - "2024-05-14 18:29:43,866 - acbm.assigning - DEBUG - Activity 166789: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,869 - acbm.assigning - DEBUG - Activity 166789: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,870 - acbm.assigning - DEBUG - Activity 166789: sampling based on floor area\n", - "2024-05-14 18:29:43,871 - acbm.assigning - INFO - Activity 166810: No zones available\n", - "2024-05-14 18:29:43,872 - acbm.assigning - DEBUG - Activity 166881: Initial number of options for activity = 10\n", - "2024-05-14 18:29:43,874 - acbm.assigning - DEBUG - Activity 166881: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:43,876 - acbm.assigning - DEBUG - Activity 166881: sampling based on floor area\n", - "2024-05-14 18:29:43,877 - acbm.assigning - DEBUG - Activity 166886: Initial number of options for activity = 5\n", - "2024-05-14 18:29:43,880 - acbm.assigning - DEBUG - Activity 166886: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:43,881 - acbm.assigning - DEBUG - Activity 166886: sampling based on floor area\n", - "2024-05-14 18:29:43,882 - acbm.assigning - DEBUG - Activity 166888: Initial number of options for activity = 10\n", - "2024-05-14 18:29:43,885 - acbm.assigning - DEBUG - Activity 166888: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:43,886 - acbm.assigning - DEBUG - Activity 166888: sampling based on floor area\n", - "2024-05-14 18:29:43,887 - acbm.assigning - DEBUG - Activity 166894: Initial number of options for activity = 6\n", - "2024-05-14 18:29:43,889 - acbm.assigning - DEBUG - Activity 166894: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:43,890 - acbm.assigning - DEBUG - Activity 166894: sampling based on floor area\n", - "2024-05-14 18:29:43,892 - acbm.assigning - INFO - Activity 166908: No zones available\n", - "2024-05-14 18:29:43,903 - acbm.assigning - DEBUG - Activity 166912: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,905 - acbm.assigning - DEBUG - Activity 166912: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,906 - acbm.assigning - DEBUG - Activity 166912: sampling based on floor area\n", - "2024-05-14 18:29:43,909 - acbm.assigning - DEBUG - Activity 167038: Initial number of options for activity = 71\n", - "2024-05-14 18:29:43,912 - acbm.assigning - DEBUG - Activity 167038: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:43,913 - acbm.assigning - DEBUG - Activity 167038: sampling based on floor area\n", - "2024-05-14 18:29:43,914 - acbm.assigning - DEBUG - Activity 167042: Initial number of options for activity = 71\n", - "2024-05-14 18:29:43,916 - acbm.assigning - DEBUG - Activity 167042: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:43,917 - acbm.assigning - DEBUG - Activity 167042: sampling based on floor area\n", - "2024-05-14 18:29:43,918 - acbm.assigning - DEBUG - Activity 167046: Initial number of options for activity = 71\n", - "2024-05-14 18:29:43,920 - acbm.assigning - DEBUG - Activity 167046: Number of options after filtering by education type: 71\n", - "2024-05-14 18:29:43,921 - acbm.assigning - DEBUG - Activity 167046: sampling based on floor area\n", - "2024-05-14 18:29:43,922 - acbm.assigning - DEBUG - Activity 167048: Initial number of options for activity = 50\n", - "2024-05-14 18:29:43,924 - acbm.assigning - DEBUG - Activity 167048: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:43,925 - acbm.assigning - DEBUG - Activity 167048: sampling based on floor area\n", - "2024-05-14 18:29:43,925 - acbm.assigning - DEBUG - Activity 167050: Initial number of options for activity = 50\n", - "2024-05-14 18:29:43,927 - acbm.assigning - DEBUG - Activity 167050: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:43,927 - acbm.assigning - DEBUG - Activity 167050: sampling based on floor area\n", - "2024-05-14 18:29:43,928 - acbm.assigning - DEBUG - Activity 167316: Initial number of options for activity = 6\n", - "2024-05-14 18:29:43,930 - acbm.assigning - DEBUG - Activity 167316: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:43,931 - acbm.assigning - DEBUG - Activity 167316: sampling based on floor area\n", - "2024-05-14 18:29:43,932 - acbm.assigning - DEBUG - Activity 167319: Initial number of options for activity = 6\n", - "2024-05-14 18:29:43,936 - acbm.assigning - DEBUG - Activity 167319: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:43,937 - acbm.assigning - DEBUG - Activity 167319: sampling based on floor area\n", - "2024-05-14 18:29:43,938 - acbm.assigning - DEBUG - Activity 167588: Initial number of options for activity = 6\n", - "2024-05-14 18:29:43,940 - acbm.assigning - DEBUG - Activity 167588: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:43,941 - acbm.assigning - DEBUG - Activity 167588: sampling based on floor area\n", - "2024-05-14 18:29:43,943 - acbm.assigning - DEBUG - Activity 167596: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,945 - acbm.assigning - DEBUG - Activity 167596: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,946 - acbm.assigning - DEBUG - Activity 167596: sampling based on floor area\n", - "2024-05-14 18:29:43,947 - acbm.assigning - DEBUG - Activity 167598: Initial number of options for activity = 1\n", - "2024-05-14 18:29:43,950 - acbm.assigning - DEBUG - Activity 167598: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:43,951 - acbm.assigning - DEBUG - Activity 167598: sampling based on floor area\n", - "2024-05-14 18:29:43,952 - acbm.assigning - INFO - Activity 167604: No zones available\n", - "2024-05-14 18:29:43,953 - acbm.assigning - DEBUG - Activity 167607: Initial number of options for activity = 2\n", - "2024-05-14 18:29:43,956 - acbm.assigning - DEBUG - Activity 167607: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:43,957 - acbm.assigning - DEBUG - Activity 167607: sampling based on floor area\n", - "2024-05-14 18:29:43,958 - acbm.assigning - DEBUG - Activity 167693: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,961 - acbm.assigning - DEBUG - Activity 167693: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,961 - acbm.assigning - DEBUG - Activity 167693: sampling based on floor area\n", - "2024-05-14 18:29:43,970 - acbm.assigning - DEBUG - Activity 167694: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,976 - acbm.assigning - DEBUG - Activity 167694: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,977 - acbm.assigning - DEBUG - Activity 167694: sampling based on floor area\n", - "2024-05-14 18:29:43,979 - acbm.assigning - DEBUG - Activity 167695: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,981 - acbm.assigning - DEBUG - Activity 167695: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,982 - acbm.assigning - DEBUG - Activity 167695: sampling based on floor area\n", - "2024-05-14 18:29:43,984 - acbm.assigning - DEBUG - Activity 167697: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,986 - acbm.assigning - DEBUG - Activity 167697: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,987 - acbm.assigning - DEBUG - Activity 167697: sampling based on floor area\n", - "2024-05-14 18:29:43,988 - acbm.assigning - DEBUG - Activity 167699: Initial number of options for activity = 3\n", - "2024-05-14 18:29:43,990 - acbm.assigning - DEBUG - Activity 167699: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:43,991 - acbm.assigning - DEBUG - Activity 167699: sampling based on floor area\n", - "2024-05-14 18:29:43,992 - acbm.assigning - DEBUG - Activity 167761: Initial number of options for activity = 87\n", - "2024-05-14 18:29:43,994 - acbm.assigning - DEBUG - Activity 167761: Number of options after filtering by education type: 87\n", - "2024-05-14 18:29:43,995 - acbm.assigning - DEBUG - Activity 167761: sampling based on floor area\n", - "2024-05-14 18:29:43,997 - acbm.assigning - DEBUG - Activity 167769: Initial number of options for activity = 36\n", - "2024-05-14 18:29:44,000 - acbm.assigning - DEBUG - Activity 167769: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:44,001 - acbm.assigning - DEBUG - Activity 167769: sampling based on floor area\n", - "2024-05-14 18:29:44,003 - acbm.assigning - DEBUG - Activity 168036: Initial number of options for activity = 96\n", - "2024-05-14 18:29:44,006 - acbm.assigning - DEBUG - Activity 168036: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:44,007 - acbm.assigning - DEBUG - Activity 168036: sampling based on floor area\n", - "2024-05-14 18:29:44,009 - acbm.assigning - DEBUG - Activity 168038: Initial number of options for activity = 96\n", - "2024-05-14 18:29:44,011 - acbm.assigning - DEBUG - Activity 168038: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:44,012 - acbm.assigning - DEBUG - Activity 168038: sampling based on floor area\n", - "2024-05-14 18:29:44,013 - acbm.assigning - DEBUG - Activity 168040: Initial number of options for activity = 96\n", - "2024-05-14 18:29:44,016 - acbm.assigning - DEBUG - Activity 168040: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:44,017 - acbm.assigning - DEBUG - Activity 168040: sampling based on floor area\n", - "2024-05-14 18:29:44,018 - acbm.assigning - DEBUG - Activity 168042: Initial number of options for activity = 96\n", - "2024-05-14 18:29:44,020 - acbm.assigning - DEBUG - Activity 168042: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:44,020 - acbm.assigning - DEBUG - Activity 168042: sampling based on floor area\n", - "2024-05-14 18:29:44,022 - acbm.assigning - DEBUG - Activity 168046: Initial number of options for activity = 96\n", - "2024-05-14 18:29:44,024 - acbm.assigning - DEBUG - Activity 168046: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:44,025 - acbm.assigning - DEBUG - Activity 168046: sampling based on floor area\n", - "2024-05-14 18:29:44,026 - acbm.assigning - DEBUG - Activity 168295: Initial number of options for activity = 137\n", - "2024-05-14 18:29:44,029 - acbm.assigning - DEBUG - Activity 168295: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:44,030 - acbm.assigning - DEBUG - Activity 168295: sampling based on floor area\n", - "2024-05-14 18:29:44,031 - acbm.assigning - DEBUG - Activity 168312: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,033 - acbm.assigning - DEBUG - Activity 168312: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,034 - acbm.assigning - DEBUG - Activity 168312: sampling based on floor area\n", - "2024-05-14 18:29:44,036 - acbm.assigning - DEBUG - Activity 168317: Initial number of options for activity = 57\n", - "2024-05-14 18:29:44,039 - acbm.assigning - DEBUG - Activity 168317: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:44,041 - acbm.assigning - DEBUG - Activity 168317: sampling based on floor area\n", - "2024-05-14 18:29:44,042 - acbm.assigning - DEBUG - Activity 168318: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,044 - acbm.assigning - DEBUG - Activity 168318: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,045 - acbm.assigning - DEBUG - Activity 168318: sampling based on floor area\n", - "2024-05-14 18:29:44,047 - acbm.assigning - DEBUG - Activity 168320: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,057 - acbm.assigning - DEBUG - Activity 168320: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,058 - acbm.assigning - DEBUG - Activity 168320: sampling based on floor area\n", - "2024-05-14 18:29:44,059 - acbm.assigning - DEBUG - Activity 168323: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,063 - acbm.assigning - DEBUG - Activity 168323: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,064 - acbm.assigning - DEBUG - Activity 168323: sampling based on floor area\n", - "2024-05-14 18:29:44,066 - acbm.assigning - INFO - Activity 168919: No zones available\n", - "2024-05-14 18:29:44,067 - acbm.assigning - INFO - Activity 169089: No zones available\n", - "2024-05-14 18:29:44,068 - acbm.assigning - INFO - Activity 169095: No zones available\n", - "2024-05-14 18:29:44,069 - acbm.assigning - DEBUG - Activity 169234: Initial number of options for activity = 130\n", - "2024-05-14 18:29:44,072 - acbm.assigning - DEBUG - Activity 169234: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:44,073 - acbm.assigning - DEBUG - Activity 169234: sampling based on floor area\n", - "2024-05-14 18:29:44,074 - acbm.assigning - DEBUG - Activity 169236: Initial number of options for activity = 130\n", - "2024-05-14 18:29:44,077 - acbm.assigning - DEBUG - Activity 169236: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:44,080 - acbm.assigning - DEBUG - Activity 169236: sampling based on floor area\n", - "2024-05-14 18:29:44,082 - acbm.assigning - DEBUG - Activity 169238: Initial number of options for activity = 130\n", - "2024-05-14 18:29:44,084 - acbm.assigning - DEBUG - Activity 169238: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:44,085 - acbm.assigning - DEBUG - Activity 169238: sampling based on floor area\n", - "2024-05-14 18:29:44,086 - acbm.assigning - DEBUG - Activity 169240: Initial number of options for activity = 130\n", - "2024-05-14 18:29:44,088 - acbm.assigning - DEBUG - Activity 169240: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:44,090 - acbm.assigning - DEBUG - Activity 169240: sampling based on floor area\n", - "2024-05-14 18:29:44,091 - acbm.assigning - DEBUG - Activity 169331: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,094 - acbm.assigning - DEBUG - Activity 169331: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,094 - acbm.assigning - DEBUG - Activity 169331: sampling based on floor area\n", - "2024-05-14 18:29:44,096 - acbm.assigning - DEBUG - Activity 169335: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,098 - acbm.assigning - DEBUG - Activity 169335: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,099 - acbm.assigning - DEBUG - Activity 169335: sampling based on floor area\n", - "2024-05-14 18:29:44,100 - acbm.assigning - DEBUG - Activity 169337: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,103 - acbm.assigning - DEBUG - Activity 169337: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,104 - acbm.assigning - DEBUG - Activity 169337: sampling based on floor area\n", - "2024-05-14 18:29:44,105 - acbm.assigning - DEBUG - Activity 169339: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,107 - acbm.assigning - DEBUG - Activity 169339: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,108 - acbm.assigning - DEBUG - Activity 169339: sampling based on floor area\n", - "2024-05-14 18:29:44,109 - acbm.assigning - DEBUG - Activity 169342: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,112 - acbm.assigning - DEBUG - Activity 169342: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,112 - acbm.assigning - DEBUG - Activity 169342: sampling based on floor area\n", - "2024-05-14 18:29:44,114 - acbm.assigning - DEBUG - Activity 169417: Initial number of options for activity = 82\n", - "2024-05-14 18:29:44,116 - acbm.assigning - DEBUG - Activity 169417: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:44,117 - acbm.assigning - DEBUG - Activity 169417: sampling based on floor area\n", - "2024-05-14 18:29:44,119 - acbm.assigning - DEBUG - Activity 169421: Initial number of options for activity = 82\n", - "2024-05-14 18:29:44,122 - acbm.assigning - DEBUG - Activity 169421: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:44,123 - acbm.assigning - DEBUG - Activity 169421: sampling based on floor area\n", - "2024-05-14 18:29:44,125 - acbm.assigning - DEBUG - Activity 169425: Initial number of options for activity = 32\n", - "2024-05-14 18:29:44,127 - acbm.assigning - DEBUG - Activity 169425: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:44,128 - acbm.assigning - DEBUG - Activity 169425: sampling based on floor area\n", - "2024-05-14 18:29:44,129 - acbm.assigning - DEBUG - Activity 169427: Initial number of options for activity = 24\n", - "2024-05-14 18:29:44,138 - acbm.assigning - DEBUG - Activity 169427: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:44,139 - acbm.assigning - DEBUG - Activity 169427: sampling based on floor area\n", - "2024-05-14 18:29:44,141 - acbm.assigning - DEBUG - Activity 169429: Initial number of options for activity = 82\n", - "2024-05-14 18:29:44,144 - acbm.assigning - DEBUG - Activity 169429: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:44,145 - acbm.assigning - DEBUG - Activity 169429: sampling based on floor area\n", - "2024-05-14 18:29:44,147 - acbm.assigning - INFO - Activity 169496: No zones available\n", - "2024-05-14 18:29:44,148 - acbm.assigning - INFO - Activity 169498: No zones available\n", - "2024-05-14 18:29:44,149 - acbm.assigning - INFO - Activity 169500: No zones available\n", - "2024-05-14 18:29:44,149 - acbm.assigning - INFO - Activity 169501: No zones available\n", - "2024-05-14 18:29:44,150 - acbm.assigning - DEBUG - Activity 169602: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,153 - acbm.assigning - DEBUG - Activity 169602: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,154 - acbm.assigning - DEBUG - Activity 169602: sampling based on floor area\n", - "2024-05-14 18:29:44,156 - acbm.assigning - DEBUG - Activity 169655: Initial number of options for activity = 133\n", - "2024-05-14 18:29:44,159 - acbm.assigning - DEBUG - Activity 169655: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:44,159 - acbm.assigning - DEBUG - Activity 169655: sampling based on floor area\n", - "2024-05-14 18:29:44,161 - acbm.assigning - DEBUG - Activity 169657: Initial number of options for activity = 133\n", - "2024-05-14 18:29:44,164 - acbm.assigning - DEBUG - Activity 169657: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:44,165 - acbm.assigning - DEBUG - Activity 169657: sampling based on floor area\n", - "2024-05-14 18:29:44,167 - acbm.assigning - DEBUG - Activity 169659: Initial number of options for activity = 133\n", - "2024-05-14 18:29:44,171 - acbm.assigning - DEBUG - Activity 169659: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:44,172 - acbm.assigning - DEBUG - Activity 169659: sampling based on floor area\n", - "2024-05-14 18:29:44,173 - acbm.assigning - DEBUG - Activity 169661: Initial number of options for activity = 133\n", - "2024-05-14 18:29:44,176 - acbm.assigning - DEBUG - Activity 169661: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:44,177 - acbm.assigning - DEBUG - Activity 169661: sampling based on floor area\n", - "2024-05-14 18:29:44,188 - acbm.assigning - DEBUG - Activity 169684: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,191 - acbm.assigning - DEBUG - Activity 169684: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,193 - acbm.assigning - DEBUG - Activity 169684: sampling based on floor area\n", - "2024-05-14 18:29:44,195 - acbm.assigning - DEBUG - Activity 169688: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,197 - acbm.assigning - DEBUG - Activity 169688: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,198 - acbm.assigning - DEBUG - Activity 169688: sampling based on floor area\n", - "2024-05-14 18:29:44,200 - acbm.assigning - DEBUG - Activity 169695: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,202 - acbm.assigning - DEBUG - Activity 169695: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,203 - acbm.assigning - DEBUG - Activity 169695: sampling based on floor area\n", - "2024-05-14 18:29:44,205 - acbm.assigning - DEBUG - Activity 169697: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,207 - acbm.assigning - DEBUG - Activity 169697: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,210 - acbm.assigning - DEBUG - Activity 169697: sampling based on floor area\n", - "2024-05-14 18:29:44,211 - acbm.assigning - INFO - Activity 169748: No zones available\n", - "2024-05-14 18:29:44,212 - acbm.assigning - DEBUG - Activity 169875: Initial number of options for activity = 113\n", - "2024-05-14 18:29:44,215 - acbm.assigning - DEBUG - Activity 169875: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:44,216 - acbm.assigning - DEBUG - Activity 169875: sampling based on floor area\n", - "2024-05-14 18:29:44,218 - acbm.assigning - DEBUG - Activity 169876: Initial number of options for activity = 113\n", - "2024-05-14 18:29:44,220 - acbm.assigning - DEBUG - Activity 169876: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:44,221 - acbm.assigning - DEBUG - Activity 169876: sampling based on floor area\n", - "2024-05-14 18:29:44,223 - acbm.assigning - DEBUG - Activity 169877: Initial number of options for activity = 95\n", - "2024-05-14 18:29:44,225 - acbm.assigning - DEBUG - Activity 169877: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:44,226 - acbm.assigning - DEBUG - Activity 169877: sampling based on floor area\n", - "2024-05-14 18:29:44,228 - acbm.assigning - DEBUG - Activity 169878: Initial number of options for activity = 113\n", - "2024-05-14 18:29:44,231 - acbm.assigning - DEBUG - Activity 169878: Number of options after filtering by education type: 113\n", - "2024-05-14 18:29:44,232 - acbm.assigning - DEBUG - Activity 169878: sampling based on floor area\n", - "2024-05-14 18:29:44,234 - acbm.assigning - DEBUG - Activity 169882: Initial number of options for activity = 137\n", - "2024-05-14 18:29:44,236 - acbm.assigning - DEBUG - Activity 169882: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:44,237 - acbm.assigning - DEBUG - Activity 169882: sampling based on floor area\n", - "2024-05-14 18:29:44,238 - acbm.assigning - DEBUG - Activity 170030: Initial number of options for activity = 4\n", - "2024-05-14 18:29:44,240 - acbm.assigning - DEBUG - Activity 170030: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:44,241 - acbm.assigning - DEBUG - Activity 170030: sampling based on floor area\n", - "2024-05-14 18:29:44,242 - acbm.assigning - DEBUG - Activity 170032: Initial number of options for activity = 4\n", - "2024-05-14 18:29:44,244 - acbm.assigning - DEBUG - Activity 170032: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:44,245 - acbm.assigning - DEBUG - Activity 170032: sampling based on floor area\n", - "2024-05-14 18:29:44,246 - acbm.assigning - DEBUG - Activity 170045: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,248 - acbm.assigning - DEBUG - Activity 170045: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,249 - acbm.assigning - DEBUG - Activity 170045: sampling based on floor area\n", - "2024-05-14 18:29:44,250 - acbm.assigning - DEBUG - Activity 170047: Initial number of options for activity = 58\n", - "2024-05-14 18:29:44,253 - acbm.assigning - DEBUG - Activity 170047: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:44,254 - acbm.assigning - DEBUG - Activity 170047: sampling based on floor area\n", - "2024-05-14 18:29:44,256 - acbm.assigning - DEBUG - Activity 170254: Initial number of options for activity = 72\n", - "2024-05-14 18:29:44,259 - acbm.assigning - DEBUG - Activity 170254: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:44,261 - acbm.assigning - DEBUG - Activity 170254: sampling based on floor area\n", - "2024-05-14 18:29:44,270 - acbm.assigning - DEBUG - Activity 170257: Initial number of options for activity = 72\n", - "2024-05-14 18:29:44,273 - acbm.assigning - DEBUG - Activity 170257: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:44,274 - acbm.assigning - DEBUG - Activity 170257: sampling based on floor area\n", - "2024-05-14 18:29:44,276 - acbm.assigning - DEBUG - Activity 170258: Initial number of options for activity = 72\n", - "2024-05-14 18:29:44,278 - acbm.assigning - DEBUG - Activity 170258: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:44,279 - acbm.assigning - DEBUG - Activity 170258: sampling based on floor area\n", - "2024-05-14 18:29:44,280 - acbm.assigning - DEBUG - Activity 170260: Initial number of options for activity = 72\n", - "2024-05-14 18:29:44,282 - acbm.assigning - DEBUG - Activity 170260: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:44,283 - acbm.assigning - DEBUG - Activity 170260: sampling based on floor area\n", - "2024-05-14 18:29:44,284 - acbm.assigning - DEBUG - Activity 170263: Initial number of options for activity = 72\n", - "2024-05-14 18:29:44,286 - acbm.assigning - DEBUG - Activity 170263: Number of options after filtering by education type: 72\n", - "2024-05-14 18:29:44,287 - acbm.assigning - DEBUG - Activity 170263: sampling based on floor area\n", - "2024-05-14 18:29:44,288 - acbm.assigning - INFO - Activity 170384: No zones available\n", - "2024-05-14 18:29:44,289 - acbm.assigning - DEBUG - Activity 170440: Initial number of options for activity = 129\n", - "2024-05-14 18:29:44,292 - acbm.assigning - DEBUG - Activity 170440: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:44,293 - acbm.assigning - DEBUG - Activity 170440: sampling based on floor area\n", - "2024-05-14 18:29:44,295 - acbm.assigning - DEBUG - Activity 170442: Initial number of options for activity = 129\n", - "2024-05-14 18:29:44,298 - acbm.assigning - DEBUG - Activity 170442: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:44,300 - acbm.assigning - DEBUG - Activity 170442: sampling based on floor area\n", - "2024-05-14 18:29:44,301 - acbm.assigning - DEBUG - Activity 170444: Initial number of options for activity = 129\n", - "2024-05-14 18:29:44,303 - acbm.assigning - DEBUG - Activity 170444: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:44,304 - acbm.assigning - DEBUG - Activity 170444: sampling based on floor area\n", - "2024-05-14 18:29:44,306 - acbm.assigning - DEBUG - Activity 170446: Initial number of options for activity = 129\n", - "2024-05-14 18:29:44,309 - acbm.assigning - DEBUG - Activity 170446: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:44,310 - acbm.assigning - DEBUG - Activity 170446: sampling based on floor area\n", - "2024-05-14 18:29:44,311 - acbm.assigning - DEBUG - Activity 170539: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,313 - acbm.assigning - DEBUG - Activity 170539: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,314 - acbm.assigning - DEBUG - Activity 170539: sampling based on floor area\n", - "2024-05-14 18:29:44,316 - acbm.assigning - DEBUG - Activity 170632: Initial number of options for activity = 8\n", - "2024-05-14 18:29:44,319 - acbm.assigning - DEBUG - Activity 170632: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:44,319 - acbm.assigning - DEBUG - Activity 170632: sampling based on floor area\n", - "2024-05-14 18:29:44,320 - acbm.assigning - DEBUG - Activity 170633: Initial number of options for activity = 8\n", - "2024-05-14 18:29:44,323 - acbm.assigning - DEBUG - Activity 170633: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:44,324 - acbm.assigning - DEBUG - Activity 170633: sampling based on floor area\n", - "2024-05-14 18:29:44,325 - acbm.assigning - DEBUG - Activity 170635: Initial number of options for activity = 12\n", - "2024-05-14 18:29:44,328 - acbm.assigning - DEBUG - Activity 170635: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:44,329 - acbm.assigning - DEBUG - Activity 170635: sampling based on floor area\n", - "2024-05-14 18:29:44,330 - acbm.assigning - DEBUG - Activity 170643: Initial number of options for activity = 8\n", - "2024-05-14 18:29:44,333 - acbm.assigning - DEBUG - Activity 170643: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:44,335 - acbm.assigning - DEBUG - Activity 170643: sampling based on floor area\n", - "2024-05-14 18:29:44,337 - acbm.assigning - DEBUG - Activity 170647: Initial number of options for activity = 8\n", - "2024-05-14 18:29:44,340 - acbm.assigning - DEBUG - Activity 170647: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:44,341 - acbm.assigning - DEBUG - Activity 170647: sampling based on floor area\n", - "2024-05-14 18:29:44,342 - acbm.assigning - DEBUG - Activity 170649: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,354 - acbm.assigning - DEBUG - Activity 170649: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,355 - acbm.assigning - DEBUG - Activity 170649: sampling based on floor area\n", - "2024-05-14 18:29:44,357 - acbm.assigning - DEBUG - Activity 170661: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,360 - acbm.assigning - DEBUG - Activity 170661: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,361 - acbm.assigning - DEBUG - Activity 170661: sampling based on floor area\n", - "2024-05-14 18:29:44,363 - acbm.assigning - DEBUG - Activity 170728: Initial number of options for activity = 9\n", - "2024-05-14 18:29:44,366 - acbm.assigning - DEBUG - Activity 170728: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:44,367 - acbm.assigning - DEBUG - Activity 170728: sampling based on floor area\n", - "2024-05-14 18:29:44,369 - acbm.assigning - DEBUG - Activity 170730: Initial number of options for activity = 9\n", - "2024-05-14 18:29:44,371 - acbm.assigning - DEBUG - Activity 170730: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:44,372 - acbm.assigning - DEBUG - Activity 170730: sampling based on floor area\n", - "2024-05-14 18:29:44,373 - acbm.assigning - DEBUG - Activity 170734: Initial number of options for activity = 9\n", - "2024-05-14 18:29:44,375 - acbm.assigning - DEBUG - Activity 170734: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:44,376 - acbm.assigning - DEBUG - Activity 170734: sampling based on floor area\n", - "2024-05-14 18:29:44,378 - acbm.assigning - DEBUG - Activity 170739: Initial number of options for activity = 9\n", - "2024-05-14 18:29:44,380 - acbm.assigning - DEBUG - Activity 170739: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:44,381 - acbm.assigning - DEBUG - Activity 170739: sampling based on floor area\n", - "2024-05-14 18:29:44,382 - acbm.assigning - DEBUG - Activity 170741: Initial number of options for activity = 9\n", - "2024-05-14 18:29:44,385 - acbm.assigning - DEBUG - Activity 170741: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:44,386 - acbm.assigning - DEBUG - Activity 170741: sampling based on floor area\n", - "2024-05-14 18:29:44,387 - acbm.assigning - DEBUG - Activity 170859: Initial number of options for activity = 102\n", - "2024-05-14 18:29:44,389 - acbm.assigning - DEBUG - Activity 170859: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:44,390 - acbm.assigning - DEBUG - Activity 170859: sampling based on floor area\n", - "2024-05-14 18:29:44,391 - acbm.assigning - DEBUG - Activity 170862: Initial number of options for activity = 102\n", - "2024-05-14 18:29:44,393 - acbm.assigning - DEBUG - Activity 170862: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:44,394 - acbm.assigning - DEBUG - Activity 170862: sampling based on floor area\n", - "2024-05-14 18:29:44,395 - acbm.assigning - DEBUG - Activity 170864: Initial number of options for activity = 102\n", - "2024-05-14 18:29:44,398 - acbm.assigning - DEBUG - Activity 170864: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:44,399 - acbm.assigning - DEBUG - Activity 170864: sampling based on floor area\n", - "2024-05-14 18:29:44,401 - acbm.assigning - DEBUG - Activity 170869: Initial number of options for activity = 102\n", - "2024-05-14 18:29:44,404 - acbm.assigning - DEBUG - Activity 170869: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:44,405 - acbm.assigning - DEBUG - Activity 170869: sampling based on floor area\n", - "2024-05-14 18:29:44,406 - acbm.assigning - DEBUG - Activity 170872: Initial number of options for activity = 102\n", - "2024-05-14 18:29:44,409 - acbm.assigning - DEBUG - Activity 170872: Number of options after filtering by education type: 102\n", - "2024-05-14 18:29:44,409 - acbm.assigning - DEBUG - Activity 170872: sampling based on floor area\n", - "2024-05-14 18:29:44,411 - acbm.assigning - DEBUG - Activity 171082: Initial number of options for activity = 8\n", - "2024-05-14 18:29:44,412 - acbm.assigning - DEBUG - Activity 171082: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:44,423 - acbm.assigning - DEBUG - Activity 171082: sampling based on floor area\n", - "2024-05-14 18:29:44,425 - acbm.assigning - DEBUG - Activity 171086: Initial number of options for activity = 10\n", - "2024-05-14 18:29:44,428 - acbm.assigning - DEBUG - Activity 171086: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:44,429 - acbm.assigning - DEBUG - Activity 171086: sampling based on floor area\n", - "2024-05-14 18:29:44,430 - acbm.assigning - DEBUG - Activity 171087: Initial number of options for activity = 9\n", - "2024-05-14 18:29:44,433 - acbm.assigning - DEBUG - Activity 171087: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:44,434 - acbm.assigning - DEBUG - Activity 171087: sampling based on floor area\n", - "2024-05-14 18:29:44,435 - acbm.assigning - DEBUG - Activity 171089: Initial number of options for activity = 8\n", - "2024-05-14 18:29:44,439 - acbm.assigning - DEBUG - Activity 171089: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:44,440 - acbm.assigning - DEBUG - Activity 171089: sampling based on floor area\n", - "2024-05-14 18:29:44,441 - acbm.assigning - DEBUG - Activity 171090: Initial number of options for activity = 5\n", - "2024-05-14 18:29:44,443 - acbm.assigning - DEBUG - Activity 171090: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:44,444 - acbm.assigning - DEBUG - Activity 171090: sampling based on floor area\n", - "2024-05-14 18:29:44,446 - acbm.assigning - DEBUG - Activity 171212: Initial number of options for activity = 17\n", - "2024-05-14 18:29:44,448 - acbm.assigning - DEBUG - Activity 171212: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:44,449 - acbm.assigning - DEBUG - Activity 171212: sampling based on floor area\n", - "2024-05-14 18:29:44,450 - acbm.assigning - DEBUG - Activity 171214: Initial number of options for activity = 17\n", - "2024-05-14 18:29:44,453 - acbm.assigning - DEBUG - Activity 171214: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:44,453 - acbm.assigning - DEBUG - Activity 171214: sampling based on floor area\n", - "2024-05-14 18:29:44,455 - acbm.assigning - DEBUG - Activity 171218: Initial number of options for activity = 7\n", - "2024-05-14 18:29:44,457 - acbm.assigning - DEBUG - Activity 171218: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:44,458 - acbm.assigning - DEBUG - Activity 171218: sampling based on floor area\n", - "2024-05-14 18:29:44,459 - acbm.assigning - DEBUG - Activity 171247: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,461 - acbm.assigning - DEBUG - Activity 171247: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,462 - acbm.assigning - DEBUG - Activity 171247: sampling based on floor area\n", - "2024-05-14 18:29:44,463 - acbm.assigning - DEBUG - Activity 171248: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,464 - acbm.assigning - DEBUG - Activity 171248: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,465 - acbm.assigning - DEBUG - Activity 171248: sampling based on floor area\n", - "2024-05-14 18:29:44,466 - acbm.assigning - DEBUG - Activity 171251: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,468 - acbm.assigning - DEBUG - Activity 171251: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,469 - acbm.assigning - DEBUG - Activity 171251: sampling based on floor area\n", - "2024-05-14 18:29:44,470 - acbm.assigning - DEBUG - Activity 171252: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,472 - acbm.assigning - DEBUG - Activity 171252: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,472 - acbm.assigning - DEBUG - Activity 171252: sampling based on floor area\n", - "2024-05-14 18:29:44,473 - acbm.assigning - DEBUG - Activity 171255: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,475 - acbm.assigning - DEBUG - Activity 171255: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,476 - acbm.assigning - DEBUG - Activity 171255: sampling based on floor area\n", - "2024-05-14 18:29:44,476 - acbm.assigning - DEBUG - Activity 171314: Initial number of options for activity = 5\n", - "2024-05-14 18:29:44,478 - acbm.assigning - DEBUG - Activity 171314: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:44,478 - acbm.assigning - DEBUG - Activity 171314: sampling based on floor area\n", - "2024-05-14 18:29:44,479 - acbm.assigning - DEBUG - Activity 171316: Initial number of options for activity = 5\n", - "2024-05-14 18:29:44,481 - acbm.assigning - DEBUG - Activity 171316: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:44,481 - acbm.assigning - DEBUG - Activity 171316: sampling based on floor area\n", - "2024-05-14 18:29:44,483 - acbm.assigning - DEBUG - Activity 171318: Initial number of options for activity = 5\n", - "2024-05-14 18:29:44,485 - acbm.assigning - DEBUG - Activity 171318: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:44,485 - acbm.assigning - DEBUG - Activity 171318: sampling based on floor area\n", - "2024-05-14 18:29:44,486 - acbm.assigning - DEBUG - Activity 171320: Initial number of options for activity = 5\n", - "2024-05-14 18:29:44,488 - acbm.assigning - DEBUG - Activity 171320: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:44,488 - acbm.assigning - DEBUG - Activity 171320: sampling based on floor area\n", - "2024-05-14 18:29:44,489 - acbm.assigning - DEBUG - Activity 171512: Initial number of options for activity = 35\n", - "2024-05-14 18:29:44,491 - acbm.assigning - DEBUG - Activity 171512: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:44,491 - acbm.assigning - DEBUG - Activity 171512: sampling based on floor area\n", - "2024-05-14 18:29:44,492 - acbm.assigning - DEBUG - Activity 171514: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,493 - acbm.assigning - DEBUG - Activity 171514: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,494 - acbm.assigning - DEBUG - Activity 171514: sampling based on floor area\n", - "2024-05-14 18:29:44,495 - acbm.assigning - DEBUG - Activity 171516: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,497 - acbm.assigning - DEBUG - Activity 171516: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,497 - acbm.assigning - DEBUG - Activity 171516: sampling based on floor area\n", - "2024-05-14 18:29:44,499 - acbm.assigning - DEBUG - Activity 171518: Initial number of options for activity = 15\n", - "2024-05-14 18:29:44,501 - acbm.assigning - DEBUG - Activity 171518: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:44,502 - acbm.assigning - DEBUG - Activity 171518: sampling based on floor area\n", - "2024-05-14 18:29:44,503 - acbm.assigning - DEBUG - Activity 171520: Initial number of options for activity = 6\n", - "2024-05-14 18:29:44,506 - acbm.assigning - DEBUG - Activity 171520: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:44,517 - acbm.assigning - DEBUG - Activity 171520: sampling based on floor area\n", - "2024-05-14 18:29:44,519 - acbm.assigning - DEBUG - Activity 171804: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,522 - acbm.assigning - DEBUG - Activity 171804: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,523 - acbm.assigning - DEBUG - Activity 171804: sampling based on floor area\n", - "2024-05-14 18:29:44,525 - acbm.assigning - DEBUG - Activity 171810: Initial number of options for activity = 12\n", - "2024-05-14 18:29:44,528 - acbm.assigning - DEBUG - Activity 171810: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:44,529 - acbm.assigning - DEBUG - Activity 171810: sampling based on floor area\n", - "2024-05-14 18:29:44,531 - acbm.assigning - DEBUG - Activity 171918: Initial number of options for activity = 2\n", - "2024-05-14 18:29:44,534 - acbm.assigning - DEBUG - Activity 171918: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:44,536 - acbm.assigning - DEBUG - Activity 171918: sampling based on floor area\n", - "2024-05-14 18:29:44,537 - acbm.assigning - DEBUG - Activity 171924: Initial number of options for activity = 16\n", - "2024-05-14 18:29:44,540 - acbm.assigning - DEBUG - Activity 171924: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:44,541 - acbm.assigning - DEBUG - Activity 171924: sampling based on floor area\n", - "2024-05-14 18:29:44,542 - acbm.assigning - DEBUG - Activity 171926: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,545 - acbm.assigning - DEBUG - Activity 171926: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,546 - acbm.assigning - DEBUG - Activity 171926: sampling based on floor area\n", - "2024-05-14 18:29:44,547 - acbm.assigning - DEBUG - Activity 171957: Initial number of options for activity = 11\n", - "2024-05-14 18:29:44,549 - acbm.assigning - DEBUG - Activity 171957: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:44,550 - acbm.assigning - DEBUG - Activity 171957: sampling based on floor area\n", - "2024-05-14 18:29:44,552 - acbm.assigning - DEBUG - Activity 171959: Initial number of options for activity = 11\n", - "2024-05-14 18:29:44,555 - acbm.assigning - DEBUG - Activity 171959: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:44,556 - acbm.assigning - DEBUG - Activity 171959: sampling based on floor area\n", - "2024-05-14 18:29:44,557 - acbm.assigning - DEBUG - Activity 172021: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,559 - acbm.assigning - DEBUG - Activity 172021: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,560 - acbm.assigning - DEBUG - Activity 172021: sampling based on floor area\n", - "2024-05-14 18:29:44,562 - acbm.assigning - DEBUG - Activity 172023: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,564 - acbm.assigning - DEBUG - Activity 172023: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,565 - acbm.assigning - DEBUG - Activity 172023: sampling based on floor area\n", - "2024-05-14 18:29:44,567 - acbm.assigning - DEBUG - Activity 172025: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,569 - acbm.assigning - DEBUG - Activity 172025: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,570 - acbm.assigning - DEBUG - Activity 172025: sampling based on floor area\n", - "2024-05-14 18:29:44,572 - acbm.assigning - DEBUG - Activity 172027: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,574 - acbm.assigning - DEBUG - Activity 172027: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,578 - acbm.assigning - DEBUG - Activity 172027: sampling based on floor area\n", - "2024-05-14 18:29:44,580 - acbm.assigning - DEBUG - Activity 172233: Initial number of options for activity = 12\n", - "2024-05-14 18:29:44,583 - acbm.assigning - DEBUG - Activity 172233: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:44,585 - acbm.assigning - DEBUG - Activity 172233: sampling based on floor area\n", - "2024-05-14 18:29:44,586 - acbm.assigning - DEBUG - Activity 172242: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,588 - acbm.assigning - DEBUG - Activity 172242: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,589 - acbm.assigning - DEBUG - Activity 172242: sampling based on floor area\n", - "2024-05-14 18:29:44,590 - acbm.assigning - DEBUG - Activity 172562: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,592 - acbm.assigning - DEBUG - Activity 172562: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,593 - acbm.assigning - DEBUG - Activity 172562: sampling based on floor area\n", - "2024-05-14 18:29:44,594 - acbm.assigning - DEBUG - Activity 172712: Initial number of options for activity = 60\n", - "2024-05-14 18:29:44,596 - acbm.assigning - DEBUG - Activity 172712: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:44,597 - acbm.assigning - DEBUG - Activity 172712: sampling based on floor area\n", - "2024-05-14 18:29:44,598 - acbm.assigning - DEBUG - Activity 172714: Initial number of options for activity = 60\n", - "2024-05-14 18:29:44,601 - acbm.assigning - DEBUG - Activity 172714: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:44,602 - acbm.assigning - DEBUG - Activity 172714: sampling based on floor area\n", - "2024-05-14 18:29:44,607 - acbm.assigning - DEBUG - Activity 172718: Initial number of options for activity = 132\n", - "2024-05-14 18:29:44,609 - acbm.assigning - DEBUG - Activity 172718: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:44,611 - acbm.assigning - DEBUG - Activity 172718: sampling based on floor area\n", - "2024-05-14 18:29:44,612 - acbm.assigning - DEBUG - Activity 172722: Initial number of options for activity = 132\n", - "2024-05-14 18:29:44,615 - acbm.assigning - DEBUG - Activity 172722: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:44,616 - acbm.assigning - DEBUG - Activity 172722: sampling based on floor area\n", - "2024-05-14 18:29:44,617 - acbm.assigning - DEBUG - Activity 172724: Initial number of options for activity = 60\n", - "2024-05-14 18:29:44,620 - acbm.assigning - DEBUG - Activity 172724: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:44,621 - acbm.assigning - DEBUG - Activity 172724: sampling based on floor area\n", - "2024-05-14 18:29:44,622 - acbm.assigning - DEBUG - Activity 172732: Initial number of options for activity = 60\n", - "2024-05-14 18:29:44,624 - acbm.assigning - DEBUG - Activity 172732: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:44,625 - acbm.assigning - DEBUG - Activity 172732: sampling based on floor area\n", - "2024-05-14 18:29:44,626 - acbm.assigning - DEBUG - Activity 172734: Initial number of options for activity = 60\n", - "2024-05-14 18:29:44,628 - acbm.assigning - DEBUG - Activity 172734: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:44,629 - acbm.assigning - DEBUG - Activity 172734: sampling based on floor area\n", - "2024-05-14 18:29:44,630 - acbm.assigning - DEBUG - Activity 172738: Initial number of options for activity = 132\n", - "2024-05-14 18:29:44,632 - acbm.assigning - DEBUG - Activity 172738: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:44,633 - acbm.assigning - DEBUG - Activity 172738: sampling based on floor area\n", - "2024-05-14 18:29:44,634 - acbm.assigning - DEBUG - Activity 172742: Initial number of options for activity = 132\n", - "2024-05-14 18:29:44,636 - acbm.assigning - DEBUG - Activity 172742: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:44,637 - acbm.assigning - DEBUG - Activity 172742: sampling based on floor area\n", - "2024-05-14 18:29:44,638 - acbm.assigning - DEBUG - Activity 172744: Initial number of options for activity = 60\n", - "2024-05-14 18:29:44,640 - acbm.assigning - DEBUG - Activity 172744: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:44,641 - acbm.assigning - DEBUG - Activity 172744: sampling based on floor area\n", - "2024-05-14 18:29:44,642 - acbm.assigning - INFO - Activity 172786: No zones available\n", - "2024-05-14 18:29:44,643 - acbm.assigning - DEBUG - Activity 173082: Initial number of options for activity = 83\n", - "2024-05-14 18:29:44,644 - acbm.assigning - DEBUG - Activity 173082: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:44,645 - acbm.assigning - DEBUG - Activity 173082: sampling based on floor area\n", - "2024-05-14 18:29:44,646 - acbm.assigning - DEBUG - Activity 173086: Initial number of options for activity = 83\n", - "2024-05-14 18:29:44,650 - acbm.assigning - DEBUG - Activity 173086: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:44,651 - acbm.assigning - DEBUG - Activity 173086: sampling based on floor area\n", - "2024-05-14 18:29:44,653 - acbm.assigning - DEBUG - Activity 173088: Initial number of options for activity = 83\n", - "2024-05-14 18:29:44,655 - acbm.assigning - DEBUG - Activity 173088: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:44,656 - acbm.assigning - DEBUG - Activity 173088: sampling based on floor area\n", - "2024-05-14 18:29:44,657 - acbm.assigning - DEBUG - Activity 173090: Initial number of options for activity = 83\n", - "2024-05-14 18:29:44,660 - acbm.assigning - DEBUG - Activity 173090: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:44,661 - acbm.assigning - DEBUG - Activity 173090: sampling based on floor area\n", - "2024-05-14 18:29:44,662 - acbm.assigning - DEBUG - Activity 173092: Initial number of options for activity = 24\n", - "2024-05-14 18:29:44,664 - acbm.assigning - DEBUG - Activity 173092: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:44,665 - acbm.assigning - DEBUG - Activity 173092: sampling based on floor area\n", - "2024-05-14 18:29:44,667 - acbm.assigning - DEBUG - Activity 173126: Initial number of options for activity = 27\n", - "2024-05-14 18:29:44,668 - acbm.assigning - DEBUG - Activity 173126: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:44,669 - acbm.assigning - DEBUG - Activity 173126: sampling based on floor area\n", - "2024-05-14 18:29:44,670 - acbm.assigning - DEBUG - Activity 173128: Initial number of options for activity = 27\n", - "2024-05-14 18:29:44,673 - acbm.assigning - DEBUG - Activity 173128: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:44,673 - acbm.assigning - DEBUG - Activity 173128: sampling based on floor area\n", - "2024-05-14 18:29:44,675 - acbm.assigning - DEBUG - Activity 173130: Initial number of options for activity = 27\n", - "2024-05-14 18:29:44,677 - acbm.assigning - DEBUG - Activity 173130: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:44,678 - acbm.assigning - DEBUG - Activity 173130: sampling based on floor area\n", - "2024-05-14 18:29:44,685 - acbm.assigning - DEBUG - Activity 173132: Initial number of options for activity = 27\n", - "2024-05-14 18:29:44,688 - acbm.assigning - DEBUG - Activity 173132: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:44,689 - acbm.assigning - DEBUG - Activity 173132: sampling based on floor area\n", - "2024-05-14 18:29:44,691 - acbm.assigning - DEBUG - Activity 173134: Initial number of options for activity = 27\n", - "2024-05-14 18:29:44,695 - acbm.assigning - DEBUG - Activity 173134: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:44,696 - acbm.assigning - DEBUG - Activity 173134: sampling based on floor area\n", - "2024-05-14 18:29:44,697 - acbm.assigning - DEBUG - Activity 173206: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,700 - acbm.assigning - DEBUG - Activity 173206: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,701 - acbm.assigning - DEBUG - Activity 173206: sampling based on floor area\n", - "2024-05-14 18:29:44,703 - acbm.assigning - DEBUG - Activity 173207: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,704 - acbm.assigning - DEBUG - Activity 173207: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,705 - acbm.assigning - DEBUG - Activity 173207: sampling based on floor area\n", - "2024-05-14 18:29:44,706 - acbm.assigning - DEBUG - Activity 173208: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,708 - acbm.assigning - DEBUG - Activity 173208: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,709 - acbm.assigning - DEBUG - Activity 173208: sampling based on floor area\n", - "2024-05-14 18:29:44,710 - acbm.assigning - DEBUG - Activity 173213: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,713 - acbm.assigning - DEBUG - Activity 173213: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,714 - acbm.assigning - DEBUG - Activity 173213: sampling based on floor area\n", - "2024-05-14 18:29:44,716 - acbm.assigning - INFO - Activity 173265: No zones available\n", - "2024-05-14 18:29:44,717 - acbm.assigning - INFO - Activity 173267: No zones available\n", - "2024-05-14 18:29:44,718 - acbm.assigning - INFO - Activity 173269: No zones available\n", - "2024-05-14 18:29:44,719 - acbm.assigning - INFO - Activity 173273: No zones available\n", - "2024-05-14 18:29:44,719 - acbm.assigning - INFO - Activity 173275: No zones available\n", - "2024-05-14 18:29:44,720 - acbm.assigning - DEBUG - Activity 173277: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,722 - acbm.assigning - DEBUG - Activity 173277: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,724 - acbm.assigning - DEBUG - Activity 173277: sampling based on floor area\n", - "2024-05-14 18:29:44,726 - acbm.assigning - DEBUG - Activity 173279: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,728 - acbm.assigning - DEBUG - Activity 173279: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,730 - acbm.assigning - DEBUG - Activity 173279: sampling based on floor area\n", - "2024-05-14 18:29:44,731 - acbm.assigning - DEBUG - Activity 173283: Initial number of options for activity = 10\n", - "2024-05-14 18:29:44,734 - acbm.assigning - DEBUG - Activity 173283: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:44,735 - acbm.assigning - DEBUG - Activity 173283: sampling based on floor area\n", - "2024-05-14 18:29:44,737 - acbm.assigning - DEBUG - Activity 173285: Initial number of options for activity = 10\n", - "2024-05-14 18:29:44,740 - acbm.assigning - DEBUG - Activity 173285: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:44,741 - acbm.assigning - DEBUG - Activity 173285: sampling based on floor area\n", - "2024-05-14 18:29:44,743 - acbm.assigning - DEBUG - Activity 173287: Initial number of options for activity = 10\n", - "2024-05-14 18:29:44,747 - acbm.assigning - DEBUG - Activity 173287: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:44,748 - acbm.assigning - DEBUG - Activity 173287: sampling based on floor area\n", - "2024-05-14 18:29:44,749 - acbm.assigning - DEBUG - Activity 173291: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,751 - acbm.assigning - DEBUG - Activity 173291: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,753 - acbm.assigning - DEBUG - Activity 173291: sampling based on floor area\n", - "2024-05-14 18:29:44,754 - acbm.assigning - DEBUG - Activity 173293: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,757 - acbm.assigning - DEBUG - Activity 173293: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,758 - acbm.assigning - DEBUG - Activity 173293: sampling based on floor area\n", - "2024-05-14 18:29:44,760 - acbm.assigning - DEBUG - Activity 173365: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,764 - acbm.assigning - DEBUG - Activity 173365: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,765 - acbm.assigning - DEBUG - Activity 173365: sampling based on floor area\n", - "2024-05-14 18:29:44,766 - acbm.assigning - DEBUG - Activity 173368: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,769 - acbm.assigning - DEBUG - Activity 173368: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,770 - acbm.assigning - DEBUG - Activity 173368: sampling based on floor area\n", - "2024-05-14 18:29:44,772 - acbm.assigning - DEBUG - Activity 173370: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,775 - acbm.assigning - DEBUG - Activity 173370: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,777 - acbm.assigning - DEBUG - Activity 173370: sampling based on floor area\n", - "2024-05-14 18:29:44,778 - acbm.assigning - DEBUG - Activity 173375: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,782 - acbm.assigning - DEBUG - Activity 173375: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,783 - acbm.assigning - DEBUG - Activity 173375: sampling based on floor area\n", - "2024-05-14 18:29:44,784 - acbm.assigning - DEBUG - Activity 173378: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,787 - acbm.assigning - DEBUG - Activity 173378: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,788 - acbm.assigning - DEBUG - Activity 173378: sampling based on floor area\n", - "2024-05-14 18:29:44,789 - acbm.assigning - DEBUG - Activity 173492: Initial number of options for activity = 120\n", - "2024-05-14 18:29:44,791 - acbm.assigning - DEBUG - Activity 173492: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:44,792 - acbm.assigning - DEBUG - Activity 173492: sampling based on floor area\n", - "2024-05-14 18:29:44,793 - acbm.assigning - DEBUG - Activity 173495: Initial number of options for activity = 120\n", - "2024-05-14 18:29:44,796 - acbm.assigning - DEBUG - Activity 173495: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:44,797 - acbm.assigning - DEBUG - Activity 173495: sampling based on floor area\n", - "2024-05-14 18:29:44,799 - acbm.assigning - DEBUG - Activity 173496: Initial number of options for activity = 45\n", - "2024-05-14 18:29:44,802 - acbm.assigning - DEBUG - Activity 173496: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:44,803 - acbm.assigning - DEBUG - Activity 173496: sampling based on floor area\n", - "2024-05-14 18:29:44,805 - acbm.assigning - DEBUG - Activity 173497: Initial number of options for activity = 45\n", - "2024-05-14 18:29:44,808 - acbm.assigning - DEBUG - Activity 173497: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:44,809 - acbm.assigning - DEBUG - Activity 173497: sampling based on floor area\n", - "2024-05-14 18:29:44,811 - acbm.assigning - DEBUG - Activity 173501: Initial number of options for activity = 120\n", - "2024-05-14 18:29:44,813 - acbm.assigning - DEBUG - Activity 173501: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:44,813 - acbm.assigning - DEBUG - Activity 173501: sampling based on floor area\n", - "2024-05-14 18:29:44,814 - acbm.assigning - DEBUG - Activity 173684: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,817 - acbm.assigning - DEBUG - Activity 173684: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,818 - acbm.assigning - DEBUG - Activity 173684: sampling based on floor area\n", - "2024-05-14 18:29:44,820 - acbm.assigning - DEBUG - Activity 173685: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,822 - acbm.assigning - DEBUG - Activity 173685: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,823 - acbm.assigning - DEBUG - Activity 173685: sampling based on floor area\n", - "2024-05-14 18:29:44,824 - acbm.assigning - DEBUG - Activity 173690: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,826 - acbm.assigning - DEBUG - Activity 173690: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,827 - acbm.assigning - DEBUG - Activity 173690: sampling based on floor area\n", - "2024-05-14 18:29:44,828 - acbm.assigning - DEBUG - Activity 173693: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,830 - acbm.assigning - DEBUG - Activity 173693: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,831 - acbm.assigning - DEBUG - Activity 173693: sampling based on floor area\n", - "2024-05-14 18:29:44,833 - acbm.assigning - INFO - Activity 173815: No zones available\n", - "2024-05-14 18:29:44,834 - acbm.assigning - DEBUG - Activity 173820: Initial number of options for activity = 39\n", - "2024-05-14 18:29:44,838 - acbm.assigning - DEBUG - Activity 173820: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:44,839 - acbm.assigning - DEBUG - Activity 173820: sampling based on floor area\n", - "2024-05-14 18:29:44,840 - acbm.assigning - DEBUG - Activity 173822: Initial number of options for activity = 39\n", - "2024-05-14 18:29:44,843 - acbm.assigning - DEBUG - Activity 173822: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:44,843 - acbm.assigning - DEBUG - Activity 173822: sampling based on floor area\n", - "2024-05-14 18:29:44,845 - acbm.assigning - DEBUG - Activity 173830: Initial number of options for activity = 39\n", - "2024-05-14 18:29:44,848 - acbm.assigning - DEBUG - Activity 173830: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:44,849 - acbm.assigning - DEBUG - Activity 173830: sampling based on floor area\n", - "2024-05-14 18:29:44,850 - acbm.assigning - INFO - Activity 173832: No zones available\n", - "2024-05-14 18:29:44,852 - acbm.assigning - DEBUG - Activity 173838: Initial number of options for activity = 39\n", - "2024-05-14 18:29:44,854 - acbm.assigning - DEBUG - Activity 173838: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:44,855 - acbm.assigning - DEBUG - Activity 173838: sampling based on floor area\n", - "2024-05-14 18:29:44,857 - acbm.assigning - DEBUG - Activity 174071: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,860 - acbm.assigning - DEBUG - Activity 174071: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,861 - acbm.assigning - DEBUG - Activity 174071: sampling based on floor area\n", - "2024-05-14 18:29:44,863 - acbm.assigning - DEBUG - Activity 174075: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,865 - acbm.assigning - DEBUG - Activity 174075: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,866 - acbm.assigning - DEBUG - Activity 174075: sampling based on floor area\n", - "2024-05-14 18:29:44,868 - acbm.assigning - DEBUG - Activity 174076: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,871 - acbm.assigning - DEBUG - Activity 174076: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,872 - acbm.assigning - DEBUG - Activity 174076: sampling based on floor area\n", - "2024-05-14 18:29:44,874 - acbm.assigning - DEBUG - Activity 174080: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,877 - acbm.assigning - DEBUG - Activity 174080: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,878 - acbm.assigning - DEBUG - Activity 174080: sampling based on floor area\n", - "2024-05-14 18:29:44,880 - acbm.assigning - DEBUG - Activity 174612: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,883 - acbm.assigning - DEBUG - Activity 174612: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,884 - acbm.assigning - DEBUG - Activity 174612: sampling based on floor area\n", - "2024-05-14 18:29:44,886 - acbm.assigning - DEBUG - Activity 174619: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,890 - acbm.assigning - DEBUG - Activity 174619: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,891 - acbm.assigning - DEBUG - Activity 174619: sampling based on floor area\n", - "2024-05-14 18:29:44,892 - acbm.assigning - DEBUG - Activity 174620: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,894 - acbm.assigning - DEBUG - Activity 174620: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,895 - acbm.assigning - DEBUG - Activity 174620: sampling based on floor area\n", - "2024-05-14 18:29:44,896 - acbm.assigning - DEBUG - Activity 174623: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,898 - acbm.assigning - DEBUG - Activity 174623: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,898 - acbm.assigning - DEBUG - Activity 174623: sampling based on floor area\n", - "2024-05-14 18:29:44,900 - acbm.assigning - DEBUG - Activity 174624: Initial number of options for activity = 184\n", - "2024-05-14 18:29:44,902 - acbm.assigning - DEBUG - Activity 174624: Number of options after filtering by education type: 184\n", - "2024-05-14 18:29:44,903 - acbm.assigning - DEBUG - Activity 174624: sampling based on floor area\n", - "2024-05-14 18:29:44,904 - acbm.assigning - DEBUG - Activity 174754: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,906 - acbm.assigning - DEBUG - Activity 174754: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,906 - acbm.assigning - DEBUG - Activity 174754: sampling based on floor area\n", - "2024-05-14 18:29:44,907 - acbm.assigning - DEBUG - Activity 174756: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,909 - acbm.assigning - DEBUG - Activity 174756: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,910 - acbm.assigning - DEBUG - Activity 174756: sampling based on floor area\n", - "2024-05-14 18:29:44,911 - acbm.assigning - DEBUG - Activity 174758: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,913 - acbm.assigning - DEBUG - Activity 174758: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,914 - acbm.assigning - DEBUG - Activity 174758: sampling based on floor area\n", - "2024-05-14 18:29:44,916 - acbm.assigning - DEBUG - Activity 174761: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,918 - acbm.assigning - DEBUG - Activity 174761: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,919 - acbm.assigning - DEBUG - Activity 174761: sampling based on floor area\n", - "2024-05-14 18:29:44,921 - acbm.assigning - DEBUG - Activity 174764: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,923 - acbm.assigning - DEBUG - Activity 174764: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,924 - acbm.assigning - DEBUG - Activity 174764: sampling based on floor area\n", - "2024-05-14 18:29:44,926 - acbm.assigning - DEBUG - Activity 174766: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,927 - acbm.assigning - DEBUG - Activity 174766: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,928 - acbm.assigning - DEBUG - Activity 174766: sampling based on floor area\n", - "2024-05-14 18:29:44,929 - acbm.assigning - DEBUG - Activity 174768: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,932 - acbm.assigning - DEBUG - Activity 174768: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,933 - acbm.assigning - DEBUG - Activity 174768: sampling based on floor area\n", - "2024-05-14 18:29:44,934 - acbm.assigning - DEBUG - Activity 174770: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,937 - acbm.assigning - DEBUG - Activity 174770: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,938 - acbm.assigning - DEBUG - Activity 174770: sampling based on floor area\n", - "2024-05-14 18:29:44,940 - acbm.assigning - DEBUG - Activity 174778: Initial number of options for activity = 1\n", - "2024-05-14 18:29:44,942 - acbm.assigning - DEBUG - Activity 174778: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:44,943 - acbm.assigning - DEBUG - Activity 174778: sampling based on floor area\n", - "2024-05-14 18:29:44,945 - acbm.assigning - DEBUG - Activity 175109: Initial number of options for activity = 191\n", - "2024-05-14 18:29:44,949 - acbm.assigning - DEBUG - Activity 175109: Number of options after filtering by education type: 191\n", - "2024-05-14 18:29:44,950 - acbm.assigning - DEBUG - Activity 175109: sampling based on floor area\n", - "2024-05-14 18:29:44,953 - acbm.assigning - DEBUG - Activity 175111: Initial number of options for activity = 7\n", - "2024-05-14 18:29:44,956 - acbm.assigning - DEBUG - Activity 175111: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:44,958 - acbm.assigning - DEBUG - Activity 175111: sampling based on floor area\n", - "2024-05-14 18:29:44,960 - acbm.assigning - DEBUG - Activity 175115: Initial number of options for activity = 12\n", - "2024-05-14 18:29:44,965 - acbm.assigning - DEBUG - Activity 175115: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:44,966 - acbm.assigning - DEBUG - Activity 175115: sampling based on floor area\n", - "2024-05-14 18:29:44,967 - acbm.assigning - DEBUG - Activity 175116: Initial number of options for activity = 143\n", - "2024-05-14 18:29:44,969 - acbm.assigning - DEBUG - Activity 175116: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:44,970 - acbm.assigning - DEBUG - Activity 175116: sampling based on floor area\n", - "2024-05-14 18:29:44,971 - acbm.assigning - DEBUG - Activity 175121: Initial number of options for activity = 95\n", - "2024-05-14 18:29:44,973 - acbm.assigning - DEBUG - Activity 175121: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:44,973 - acbm.assigning - DEBUG - Activity 175121: sampling based on floor area\n", - "2024-05-14 18:29:44,975 - acbm.assigning - DEBUG - Activity 175130: Initial number of options for activity = 19\n", - "2024-05-14 18:29:44,976 - acbm.assigning - DEBUG - Activity 175130: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:44,977 - acbm.assigning - DEBUG - Activity 175130: sampling based on floor area\n", - "2024-05-14 18:29:44,978 - acbm.assigning - DEBUG - Activity 175174: Initial number of options for activity = 19\n", - "2024-05-14 18:29:44,981 - acbm.assigning - DEBUG - Activity 175174: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:44,982 - acbm.assigning - DEBUG - Activity 175174: sampling based on floor area\n", - "2024-05-14 18:29:44,983 - acbm.assigning - DEBUG - Activity 175176: Initial number of options for activity = 19\n", - "2024-05-14 18:29:44,986 - acbm.assigning - DEBUG - Activity 175176: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:44,987 - acbm.assigning - DEBUG - Activity 175176: sampling based on floor area\n", - "2024-05-14 18:29:44,989 - acbm.assigning - DEBUG - Activity 175178: Initial number of options for activity = 19\n", - "2024-05-14 18:29:44,991 - acbm.assigning - DEBUG - Activity 175178: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:44,998 - acbm.assigning - DEBUG - Activity 175178: sampling based on floor area\n", - "2024-05-14 18:29:45,007 - acbm.assigning - DEBUG - Activity 175180: Initial number of options for activity = 19\n", - "2024-05-14 18:29:45,014 - acbm.assigning - DEBUG - Activity 175180: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:45,016 - acbm.assigning - DEBUG - Activity 175180: sampling based on floor area\n", - "2024-05-14 18:29:45,018 - acbm.assigning - DEBUG - Activity 175308: Initial number of options for activity = 24\n", - "2024-05-14 18:29:45,022 - acbm.assigning - DEBUG - Activity 175308: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:45,023 - acbm.assigning - DEBUG - Activity 175308: sampling based on floor area\n", - "2024-05-14 18:29:45,024 - acbm.assigning - DEBUG - Activity 175312: Initial number of options for activity = 27\n", - "2024-05-14 18:29:45,027 - acbm.assigning - DEBUG - Activity 175312: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:45,029 - acbm.assigning - DEBUG - Activity 175312: sampling based on floor area\n", - "2024-05-14 18:29:45,030 - acbm.assigning - DEBUG - Activity 175313: Initial number of options for activity = 43\n", - "2024-05-14 18:29:45,033 - acbm.assigning - DEBUG - Activity 175313: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:45,035 - acbm.assigning - DEBUG - Activity 175313: sampling based on floor area\n", - "2024-05-14 18:29:45,036 - acbm.assigning - DEBUG - Activity 175392: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,039 - acbm.assigning - DEBUG - Activity 175392: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,040 - acbm.assigning - DEBUG - Activity 175392: sampling based on floor area\n", - "2024-05-14 18:29:45,042 - acbm.assigning - DEBUG - Activity 175499: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,044 - acbm.assigning - DEBUG - Activity 175499: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,045 - acbm.assigning - DEBUG - Activity 175499: sampling based on floor area\n", - "2024-05-14 18:29:45,047 - acbm.assigning - DEBUG - Activity 175500: Initial number of options for activity = 6\n", - "2024-05-14 18:29:45,050 - acbm.assigning - DEBUG - Activity 175500: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:45,051 - acbm.assigning - DEBUG - Activity 175500: sampling based on floor area\n", - "2024-05-14 18:29:45,053 - acbm.assigning - DEBUG - Activity 175502: Initial number of options for activity = 6\n", - "2024-05-14 18:29:45,056 - acbm.assigning - DEBUG - Activity 175502: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:45,057 - acbm.assigning - DEBUG - Activity 175502: sampling based on floor area\n", - "2024-05-14 18:29:45,059 - acbm.assigning - DEBUG - Activity 175503: Initial number of options for activity = 6\n", - "2024-05-14 18:29:45,065 - acbm.assigning - DEBUG - Activity 175503: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:45,066 - acbm.assigning - DEBUG - Activity 175503: sampling based on floor area\n", - "2024-05-14 18:29:45,068 - acbm.assigning - DEBUG - Activity 175561: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,071 - acbm.assigning - DEBUG - Activity 175561: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,072 - acbm.assigning - DEBUG - Activity 175561: sampling based on floor area\n", - "2024-05-14 18:29:45,074 - acbm.assigning - DEBUG - Activity 175566: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,077 - acbm.assigning - DEBUG - Activity 175566: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,078 - acbm.assigning - DEBUG - Activity 175566: sampling based on floor area\n", - "2024-05-14 18:29:45,080 - acbm.assigning - DEBUG - Activity 175572: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,083 - acbm.assigning - DEBUG - Activity 175572: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,084 - acbm.assigning - DEBUG - Activity 175572: sampling based on floor area\n", - "2024-05-14 18:29:45,086 - acbm.assigning - DEBUG - Activity 175573: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,090 - acbm.assigning - DEBUG - Activity 175573: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,091 - acbm.assigning - DEBUG - Activity 175573: sampling based on floor area\n", - "2024-05-14 18:29:45,093 - acbm.assigning - DEBUG - Activity 175574: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,096 - acbm.assigning - DEBUG - Activity 175574: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,097 - acbm.assigning - DEBUG - Activity 175574: sampling based on floor area\n", - "2024-05-14 18:29:45,098 - acbm.assigning - DEBUG - Activity 175575: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,104 - acbm.assigning - DEBUG - Activity 175575: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,106 - acbm.assigning - DEBUG - Activity 175575: sampling based on floor area\n", - "2024-05-14 18:29:45,107 - acbm.assigning - DEBUG - Activity 175640: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,110 - acbm.assigning - DEBUG - Activity 175640: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,112 - acbm.assigning - DEBUG - Activity 175640: sampling based on floor area\n", - "2024-05-14 18:29:45,114 - acbm.assigning - DEBUG - Activity 175642: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,116 - acbm.assigning - DEBUG - Activity 175642: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,118 - acbm.assigning - DEBUG - Activity 175642: sampling based on floor area\n", - "2024-05-14 18:29:45,119 - acbm.assigning - DEBUG - Activity 175646: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,122 - acbm.assigning - DEBUG - Activity 175646: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,124 - acbm.assigning - DEBUG - Activity 175646: sampling based on floor area\n", - "2024-05-14 18:29:45,125 - acbm.assigning - DEBUG - Activity 175648: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,128 - acbm.assigning - DEBUG - Activity 175648: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,129 - acbm.assigning - DEBUG - Activity 175648: sampling based on floor area\n", - "2024-05-14 18:29:45,131 - acbm.assigning - DEBUG - Activity 175689: Initial number of options for activity = 9\n", - "2024-05-14 18:29:45,133 - acbm.assigning - DEBUG - Activity 175689: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:45,135 - acbm.assigning - DEBUG - Activity 175689: sampling based on floor area\n", - "2024-05-14 18:29:45,136 - acbm.assigning - DEBUG - Activity 175690: Initial number of options for activity = 62\n", - "2024-05-14 18:29:45,139 - acbm.assigning - DEBUG - Activity 175690: Number of options after filtering by education type: 62\n", - "2024-05-14 18:29:45,140 - acbm.assigning - DEBUG - Activity 175690: sampling based on floor area\n", - "2024-05-14 18:29:45,142 - acbm.assigning - DEBUG - Activity 175694: Initial number of options for activity = 19\n", - "2024-05-14 18:29:45,144 - acbm.assigning - DEBUG - Activity 175694: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:45,145 - acbm.assigning - DEBUG - Activity 175694: sampling based on floor area\n", - "2024-05-14 18:29:45,146 - acbm.assigning - DEBUG - Activity 175695: Initial number of options for activity = 19\n", - "2024-05-14 18:29:45,149 - acbm.assigning - DEBUG - Activity 175695: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:45,150 - acbm.assigning - DEBUG - Activity 175695: sampling based on floor area\n", - "2024-05-14 18:29:45,152 - acbm.assigning - DEBUG - Activity 175697: Initial number of options for activity = 62\n", - "2024-05-14 18:29:45,155 - acbm.assigning - DEBUG - Activity 175697: Number of options after filtering by education type: 62\n", - "2024-05-14 18:29:45,156 - acbm.assigning - DEBUG - Activity 175697: sampling based on floor area\n", - "2024-05-14 18:29:45,157 - acbm.assigning - INFO - Activity 175831: No zones available\n", - "2024-05-14 18:29:45,158 - acbm.assigning - DEBUG - Activity 175840: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,161 - acbm.assigning - DEBUG - Activity 175840: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,162 - acbm.assigning - DEBUG - Activity 175840: sampling based on floor area\n", - "2024-05-14 18:29:45,163 - acbm.assigning - INFO - Activity 175841: No zones available\n", - "2024-05-14 18:29:45,164 - acbm.assigning - DEBUG - Activity 176369: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,167 - acbm.assigning - DEBUG - Activity 176369: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,168 - acbm.assigning - DEBUG - Activity 176369: sampling based on floor area\n", - "2024-05-14 18:29:45,169 - acbm.assigning - DEBUG - Activity 176625: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,172 - acbm.assigning - DEBUG - Activity 176625: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,173 - acbm.assigning - DEBUG - Activity 176625: sampling based on floor area\n", - "2024-05-14 18:29:45,174 - acbm.assigning - DEBUG - Activity 176627: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,176 - acbm.assigning - DEBUG - Activity 176627: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,177 - acbm.assigning - DEBUG - Activity 176627: sampling based on floor area\n", - "2024-05-14 18:29:45,178 - acbm.assigning - DEBUG - Activity 176631: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,180 - acbm.assigning - DEBUG - Activity 176631: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,181 - acbm.assigning - DEBUG - Activity 176631: sampling based on floor area\n", - "2024-05-14 18:29:45,182 - acbm.assigning - DEBUG - Activity 176633: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,185 - acbm.assigning - DEBUG - Activity 176633: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,186 - acbm.assigning - DEBUG - Activity 176633: sampling based on floor area\n", - "2024-05-14 18:29:45,187 - acbm.assigning - DEBUG - Activity 176931: Initial number of options for activity = 180\n", - "2024-05-14 18:29:45,190 - acbm.assigning - DEBUG - Activity 176931: Number of options after filtering by education type: 180\n", - "2024-05-14 18:29:45,191 - acbm.assigning - DEBUG - Activity 176931: sampling based on floor area\n", - "2024-05-14 18:29:45,192 - acbm.assigning - DEBUG - Activity 176933: Initial number of options for activity = 180\n", - "2024-05-14 18:29:45,195 - acbm.assigning - DEBUG - Activity 176933: Number of options after filtering by education type: 180\n", - "2024-05-14 18:29:45,204 - acbm.assigning - DEBUG - Activity 176933: sampling based on floor area\n", - "2024-05-14 18:29:45,209 - acbm.assigning - DEBUG - Activity 176935: Initial number of options for activity = 180\n", - "2024-05-14 18:29:45,211 - acbm.assigning - DEBUG - Activity 176935: Number of options after filtering by education type: 180\n", - "2024-05-14 18:29:45,212 - acbm.assigning - DEBUG - Activity 176935: sampling based on floor area\n", - "2024-05-14 18:29:45,213 - acbm.assigning - DEBUG - Activity 176937: Initial number of options for activity = 180\n", - "2024-05-14 18:29:45,215 - acbm.assigning - DEBUG - Activity 176937: Number of options after filtering by education type: 180\n", - "2024-05-14 18:29:45,217 - acbm.assigning - DEBUG - Activity 176937: sampling based on floor area\n", - "2024-05-14 18:29:45,218 - acbm.assigning - DEBUG - Activity 176941: Initial number of options for activity = 180\n", - "2024-05-14 18:29:45,221 - acbm.assigning - DEBUG - Activity 176941: Number of options after filtering by education type: 180\n", - "2024-05-14 18:29:45,222 - acbm.assigning - DEBUG - Activity 176941: sampling based on floor area\n", - "2024-05-14 18:29:45,224 - acbm.assigning - DEBUG - Activity 177112: Initial number of options for activity = 14\n", - "2024-05-14 18:29:45,228 - acbm.assigning - DEBUG - Activity 177112: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:45,229 - acbm.assigning - DEBUG - Activity 177112: sampling based on floor area\n", - "2024-05-14 18:29:45,230 - acbm.assigning - DEBUG - Activity 177119: Initial number of options for activity = 14\n", - "2024-05-14 18:29:45,233 - acbm.assigning - DEBUG - Activity 177119: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:45,234 - acbm.assigning - DEBUG - Activity 177119: sampling based on floor area\n", - "2024-05-14 18:29:45,236 - acbm.assigning - DEBUG - Activity 177123: Initial number of options for activity = 14\n", - "2024-05-14 18:29:45,238 - acbm.assigning - DEBUG - Activity 177123: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:45,239 - acbm.assigning - DEBUG - Activity 177123: sampling based on floor area\n", - "2024-05-14 18:29:45,241 - acbm.assigning - DEBUG - Activity 177125: Initial number of options for activity = 14\n", - "2024-05-14 18:29:45,243 - acbm.assigning - DEBUG - Activity 177125: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:45,244 - acbm.assigning - DEBUG - Activity 177125: sampling based on floor area\n", - "2024-05-14 18:29:45,245 - acbm.assigning - DEBUG - Activity 177249: Initial number of options for activity = 8\n", - "2024-05-14 18:29:45,247 - acbm.assigning - DEBUG - Activity 177249: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:45,247 - acbm.assigning - DEBUG - Activity 177249: sampling based on floor area\n", - "2024-05-14 18:29:45,249 - acbm.assigning - DEBUG - Activity 177251: Initial number of options for activity = 6\n", - "2024-05-14 18:29:45,251 - acbm.assigning - DEBUG - Activity 177251: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:45,252 - acbm.assigning - DEBUG - Activity 177251: sampling based on floor area\n", - "2024-05-14 18:29:45,253 - acbm.assigning - DEBUG - Activity 177253: Initial number of options for activity = 17\n", - "2024-05-14 18:29:45,255 - acbm.assigning - DEBUG - Activity 177253: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:45,256 - acbm.assigning - DEBUG - Activity 177253: sampling based on floor area\n", - "2024-05-14 18:29:45,257 - acbm.assigning - INFO - Activity 177283: No zones available\n", - "2024-05-14 18:29:45,257 - acbm.assigning - DEBUG - Activity 177348: Initial number of options for activity = 29\n", - "2024-05-14 18:29:45,259 - acbm.assigning - DEBUG - Activity 177348: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:45,259 - acbm.assigning - DEBUG - Activity 177348: sampling based on floor area\n", - "2024-05-14 18:29:45,261 - acbm.assigning - DEBUG - Activity 177350: Initial number of options for activity = 29\n", - "2024-05-14 18:29:45,264 - acbm.assigning - DEBUG - Activity 177350: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:45,265 - acbm.assigning - DEBUG - Activity 177350: sampling based on floor area\n", - "2024-05-14 18:29:45,267 - acbm.assigning - DEBUG - Activity 177352: Initial number of options for activity = 29\n", - "2024-05-14 18:29:45,270 - acbm.assigning - DEBUG - Activity 177352: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:45,270 - acbm.assigning - DEBUG - Activity 177352: sampling based on floor area\n", - "2024-05-14 18:29:45,272 - acbm.assigning - DEBUG - Activity 177354: Initial number of options for activity = 29\n", - "2024-05-14 18:29:45,274 - acbm.assigning - DEBUG - Activity 177354: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:45,275 - acbm.assigning - DEBUG - Activity 177354: sampling based on floor area\n", - "2024-05-14 18:29:45,276 - acbm.assigning - DEBUG - Activity 177385: Initial number of options for activity = 24\n", - "2024-05-14 18:29:45,278 - acbm.assigning - DEBUG - Activity 177385: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:45,279 - acbm.assigning - DEBUG - Activity 177385: sampling based on floor area\n", - "2024-05-14 18:29:45,279 - acbm.assigning - DEBUG - Activity 177387: Initial number of options for activity = 24\n", - "2024-05-14 18:29:45,281 - acbm.assigning - DEBUG - Activity 177387: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:45,282 - acbm.assigning - DEBUG - Activity 177387: sampling based on floor area\n", - "2024-05-14 18:29:45,283 - acbm.assigning - DEBUG - Activity 177391: Initial number of options for activity = 24\n", - "2024-05-14 18:29:45,285 - acbm.assigning - DEBUG - Activity 177391: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:45,286 - acbm.assigning - DEBUG - Activity 177391: sampling based on floor area\n", - "2024-05-14 18:29:45,288 - acbm.assigning - DEBUG - Activity 177393: Initial number of options for activity = 24\n", - "2024-05-14 18:29:45,290 - acbm.assigning - DEBUG - Activity 177393: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:45,291 - acbm.assigning - DEBUG - Activity 177393: sampling based on floor area\n", - "2024-05-14 18:29:45,292 - acbm.assigning - DEBUG - Activity 177395: Initial number of options for activity = 24\n", - "2024-05-14 18:29:45,294 - acbm.assigning - DEBUG - Activity 177395: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:45,295 - acbm.assigning - DEBUG - Activity 177395: sampling based on floor area\n", - "2024-05-14 18:29:45,297 - acbm.assigning - INFO - Activity 177459: No zones available\n", - "2024-05-14 18:29:45,297 - acbm.assigning - DEBUG - Activity 178052: Initial number of options for activity = 159\n", - "2024-05-14 18:29:45,300 - acbm.assigning - DEBUG - Activity 178052: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:45,301 - acbm.assigning - DEBUG - Activity 178052: sampling based on floor area\n", - "2024-05-14 18:29:45,303 - acbm.assigning - DEBUG - Activity 178056: Initial number of options for activity = 149\n", - "2024-05-14 18:29:45,306 - acbm.assigning - DEBUG - Activity 178056: Number of options after filtering by education type: 149\n", - "2024-05-14 18:29:45,307 - acbm.assigning - DEBUG - Activity 178056: sampling based on floor area\n", - "2024-05-14 18:29:45,311 - acbm.assigning - DEBUG - Activity 178058: Initial number of options for activity = 197\n", - "2024-05-14 18:29:45,315 - acbm.assigning - DEBUG - Activity 178058: Number of options after filtering by education type: 197\n", - "2024-05-14 18:29:45,316 - acbm.assigning - DEBUG - Activity 178058: sampling based on floor area\n", - "2024-05-14 18:29:45,318 - acbm.assigning - DEBUG - Activity 178059: Initial number of options for activity = 197\n", - "2024-05-14 18:29:45,322 - acbm.assigning - DEBUG - Activity 178059: Number of options after filtering by education type: 197\n", - "2024-05-14 18:29:45,323 - acbm.assigning - DEBUG - Activity 178059: sampling based on floor area\n", - "2024-05-14 18:29:45,325 - acbm.assigning - DEBUG - Activity 178065: Initial number of options for activity = 55\n", - "2024-05-14 18:29:45,328 - acbm.assigning - DEBUG - Activity 178065: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:45,329 - acbm.assigning - DEBUG - Activity 178065: sampling based on floor area\n", - "2024-05-14 18:29:45,331 - acbm.assigning - DEBUG - Activity 178067: Initial number of options for activity = 65\n", - "2024-05-14 18:29:45,334 - acbm.assigning - DEBUG - Activity 178067: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:45,335 - acbm.assigning - DEBUG - Activity 178067: sampling based on floor area\n", - "2024-05-14 18:29:45,337 - acbm.assigning - DEBUG - Activity 178069: Initial number of options for activity = 48\n", - "2024-05-14 18:29:45,339 - acbm.assigning - DEBUG - Activity 178069: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:45,341 - acbm.assigning - DEBUG - Activity 178069: sampling based on floor area\n", - "2024-05-14 18:29:45,342 - acbm.assigning - DEBUG - Activity 178074: Initial number of options for activity = 65\n", - "2024-05-14 18:29:45,346 - acbm.assigning - DEBUG - Activity 178074: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:45,347 - acbm.assigning - DEBUG - Activity 178074: sampling based on floor area\n", - "2024-05-14 18:29:45,348 - acbm.assigning - INFO - Activity 178234: No zones available\n", - "2024-05-14 18:29:45,349 - acbm.assigning - INFO - Activity 178320: No zones available\n", - "2024-05-14 18:29:45,350 - acbm.assigning - INFO - Activity 178322: No zones available\n", - "2024-05-14 18:29:45,351 - acbm.assigning - DEBUG - Activity 178564: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,353 - acbm.assigning - DEBUG - Activity 178564: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,355 - acbm.assigning - DEBUG - Activity 178564: sampling based on floor area\n", - "2024-05-14 18:29:45,357 - acbm.assigning - DEBUG - Activity 178887: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,359 - acbm.assigning - DEBUG - Activity 178887: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,360 - acbm.assigning - DEBUG - Activity 178887: sampling based on floor area\n", - "2024-05-14 18:29:45,361 - acbm.assigning - DEBUG - Activity 178948: Initial number of options for activity = 17\n", - "2024-05-14 18:29:45,364 - acbm.assigning - DEBUG - Activity 178948: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:45,365 - acbm.assigning - DEBUG - Activity 178948: sampling based on floor area\n", - "2024-05-14 18:29:45,366 - acbm.assigning - DEBUG - Activity 178950: Initial number of options for activity = 17\n", - "2024-05-14 18:29:45,369 - acbm.assigning - DEBUG - Activity 178950: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:45,370 - acbm.assigning - DEBUG - Activity 178950: sampling based on floor area\n", - "2024-05-14 18:29:45,372 - acbm.assigning - DEBUG - Activity 178952: Initial number of options for activity = 17\n", - "2024-05-14 18:29:45,374 - acbm.assigning - DEBUG - Activity 178952: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:45,376 - acbm.assigning - DEBUG - Activity 178952: sampling based on floor area\n", - "2024-05-14 18:29:45,377 - acbm.assigning - DEBUG - Activity 178954: Initial number of options for activity = 17\n", - "2024-05-14 18:29:45,380 - acbm.assigning - DEBUG - Activity 178954: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:45,381 - acbm.assigning - DEBUG - Activity 178954: sampling based on floor area\n", - "2024-05-14 18:29:45,382 - acbm.assigning - DEBUG - Activity 178997: Initial number of options for activity = 20\n", - "2024-05-14 18:29:45,384 - acbm.assigning - DEBUG - Activity 178997: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:45,385 - acbm.assigning - DEBUG - Activity 178997: sampling based on floor area\n", - "2024-05-14 18:29:45,387 - acbm.assigning - DEBUG - Activity 178999: Initial number of options for activity = 20\n", - "2024-05-14 18:29:45,389 - acbm.assigning - DEBUG - Activity 178999: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:45,390 - acbm.assigning - DEBUG - Activity 178999: sampling based on floor area\n", - "2024-05-14 18:29:45,392 - acbm.assigning - DEBUG - Activity 179001: Initial number of options for activity = 20\n", - "2024-05-14 18:29:45,395 - acbm.assigning - DEBUG - Activity 179001: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:45,396 - acbm.assigning - DEBUG - Activity 179001: sampling based on floor area\n", - "2024-05-14 18:29:45,397 - acbm.assigning - DEBUG - Activity 179003: Initial number of options for activity = 20\n", - "2024-05-14 18:29:45,400 - acbm.assigning - DEBUG - Activity 179003: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:45,410 - acbm.assigning - DEBUG - Activity 179003: sampling based on floor area\n", - "2024-05-14 18:29:45,412 - acbm.assigning - DEBUG - Activity 179146: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,415 - acbm.assigning - DEBUG - Activity 179146: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,417 - acbm.assigning - DEBUG - Activity 179146: sampling based on floor area\n", - "2024-05-14 18:29:45,420 - acbm.assigning - DEBUG - Activity 179148: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,423 - acbm.assigning - DEBUG - Activity 179148: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,424 - acbm.assigning - DEBUG - Activity 179148: sampling based on floor area\n", - "2024-05-14 18:29:45,426 - acbm.assigning - DEBUG - Activity 179150: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,428 - acbm.assigning - DEBUG - Activity 179150: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,429 - acbm.assigning - DEBUG - Activity 179150: sampling based on floor area\n", - "2024-05-14 18:29:45,430 - acbm.assigning - DEBUG - Activity 179152: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,432 - acbm.assigning - DEBUG - Activity 179152: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,433 - acbm.assigning - DEBUG - Activity 179152: sampling based on floor area\n", - "2024-05-14 18:29:45,435 - acbm.assigning - DEBUG - Activity 179187: Initial number of options for activity = 63\n", - "2024-05-14 18:29:45,437 - acbm.assigning - DEBUG - Activity 179187: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:45,438 - acbm.assigning - DEBUG - Activity 179187: sampling based on floor area\n", - "2024-05-14 18:29:45,439 - acbm.assigning - DEBUG - Activity 179188: Initial number of options for activity = 60\n", - "2024-05-14 18:29:45,441 - acbm.assigning - DEBUG - Activity 179188: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:45,441 - acbm.assigning - DEBUG - Activity 179188: sampling based on floor area\n", - "2024-05-14 18:29:45,442 - acbm.assigning - DEBUG - Activity 179191: Initial number of options for activity = 35\n", - "2024-05-14 18:29:45,445 - acbm.assigning - DEBUG - Activity 179191: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:45,446 - acbm.assigning - DEBUG - Activity 179191: sampling based on floor area\n", - "2024-05-14 18:29:45,447 - acbm.assigning - DEBUG - Activity 179192: Initial number of options for activity = 62\n", - "2024-05-14 18:29:45,449 - acbm.assigning - DEBUG - Activity 179192: Number of options after filtering by education type: 62\n", - "2024-05-14 18:29:45,450 - acbm.assigning - DEBUG - Activity 179192: sampling based on floor area\n", - "2024-05-14 18:29:45,451 - acbm.assigning - DEBUG - Activity 179193: Initial number of options for activity = 54\n", - "2024-05-14 18:29:45,453 - acbm.assigning - DEBUG - Activity 179193: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:45,453 - acbm.assigning - DEBUG - Activity 179193: sampling based on floor area\n", - "2024-05-14 18:29:45,454 - acbm.assigning - DEBUG - Activity 179253: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,456 - acbm.assigning - DEBUG - Activity 179253: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,457 - acbm.assigning - DEBUG - Activity 179253: sampling based on floor area\n", - "2024-05-14 18:29:45,458 - acbm.assigning - DEBUG - Activity 179254: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,460 - acbm.assigning - DEBUG - Activity 179254: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,461 - acbm.assigning - DEBUG - Activity 179254: sampling based on floor area\n", - "2024-05-14 18:29:45,463 - acbm.assigning - DEBUG - Activity 179255: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,465 - acbm.assigning - DEBUG - Activity 179255: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,466 - acbm.assigning - DEBUG - Activity 179255: sampling based on floor area\n", - "2024-05-14 18:29:45,467 - acbm.assigning - DEBUG - Activity 179259: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,469 - acbm.assigning - DEBUG - Activity 179259: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,470 - acbm.assigning - DEBUG - Activity 179259: sampling based on floor area\n", - "2024-05-14 18:29:45,471 - acbm.assigning - DEBUG - Activity 179261: Initial number of options for activity = 44\n", - "2024-05-14 18:29:45,474 - acbm.assigning - DEBUG - Activity 179261: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:45,475 - acbm.assigning - DEBUG - Activity 179261: sampling based on floor area\n", - "2024-05-14 18:29:45,477 - acbm.assigning - DEBUG - Activity 179346: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,479 - acbm.assigning - DEBUG - Activity 179346: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,488 - acbm.assigning - DEBUG - Activity 179346: sampling based on floor area\n", - "2024-05-14 18:29:45,490 - acbm.assigning - DEBUG - Activity 179352: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,493 - acbm.assigning - DEBUG - Activity 179352: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,495 - acbm.assigning - DEBUG - Activity 179352: sampling based on floor area\n", - "2024-05-14 18:29:45,499 - acbm.assigning - DEBUG - Activity 179532: Initial number of options for activity = 35\n", - "2024-05-14 18:29:45,502 - acbm.assigning - DEBUG - Activity 179532: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:45,502 - acbm.assigning - DEBUG - Activity 179532: sampling based on floor area\n", - "2024-05-14 18:29:45,504 - acbm.assigning - DEBUG - Activity 179534: Initial number of options for activity = 35\n", - "2024-05-14 18:29:45,506 - acbm.assigning - DEBUG - Activity 179534: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:45,507 - acbm.assigning - DEBUG - Activity 179534: sampling based on floor area\n", - "2024-05-14 18:29:45,508 - acbm.assigning - DEBUG - Activity 179536: Initial number of options for activity = 35\n", - "2024-05-14 18:29:45,510 - acbm.assigning - DEBUG - Activity 179536: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:45,511 - acbm.assigning - DEBUG - Activity 179536: sampling based on floor area\n", - "2024-05-14 18:29:45,513 - acbm.assigning - DEBUG - Activity 179538: Initial number of options for activity = 35\n", - "2024-05-14 18:29:45,515 - acbm.assigning - DEBUG - Activity 179538: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:45,516 - acbm.assigning - DEBUG - Activity 179538: sampling based on floor area\n", - "2024-05-14 18:29:45,517 - acbm.assigning - DEBUG - Activity 179625: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,519 - acbm.assigning - DEBUG - Activity 179625: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,519 - acbm.assigning - DEBUG - Activity 179625: sampling based on floor area\n", - "2024-05-14 18:29:45,521 - acbm.assigning - DEBUG - Activity 179627: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,523 - acbm.assigning - DEBUG - Activity 179627: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,523 - acbm.assigning - DEBUG - Activity 179627: sampling based on floor area\n", - "2024-05-14 18:29:45,524 - acbm.assigning - DEBUG - Activity 179631: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,526 - acbm.assigning - DEBUG - Activity 179631: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,527 - acbm.assigning - DEBUG - Activity 179631: sampling based on floor area\n", - "2024-05-14 18:29:45,528 - acbm.assigning - DEBUG - Activity 179636: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,530 - acbm.assigning - DEBUG - Activity 179636: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,532 - acbm.assigning - DEBUG - Activity 179636: sampling based on floor area\n", - "2024-05-14 18:29:45,533 - acbm.assigning - DEBUG - Activity 179638: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,534 - acbm.assigning - DEBUG - Activity 179638: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,535 - acbm.assigning - DEBUG - Activity 179638: sampling based on floor area\n", - "2024-05-14 18:29:45,537 - acbm.assigning - DEBUG - Activity 180035: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,539 - acbm.assigning - DEBUG - Activity 180035: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,550 - acbm.assigning - DEBUG - Activity 180035: sampling based on floor area\n", - "2024-05-14 18:29:45,552 - acbm.assigning - INFO - Activity 180043: No zones available\n", - "2024-05-14 18:29:45,555 - acbm.assigning - INFO - Activity 180052: No zones available\n", - "2024-05-14 18:29:45,556 - acbm.assigning - DEBUG - Activity 180115: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,558 - acbm.assigning - DEBUG - Activity 180115: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,559 - acbm.assigning - DEBUG - Activity 180115: sampling based on floor area\n", - "2024-05-14 18:29:45,560 - acbm.assigning - DEBUG - Activity 180117: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,562 - acbm.assigning - DEBUG - Activity 180117: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,563 - acbm.assigning - DEBUG - Activity 180117: sampling based on floor area\n", - "2024-05-14 18:29:45,564 - acbm.assigning - DEBUG - Activity 180121: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,567 - acbm.assigning - DEBUG - Activity 180121: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,568 - acbm.assigning - DEBUG - Activity 180121: sampling based on floor area\n", - "2024-05-14 18:29:45,570 - acbm.assigning - DEBUG - Activity 180123: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,572 - acbm.assigning - DEBUG - Activity 180123: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,573 - acbm.assigning - DEBUG - Activity 180123: sampling based on floor area\n", - "2024-05-14 18:29:45,574 - acbm.assigning - DEBUG - Activity 180125: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,576 - acbm.assigning - DEBUG - Activity 180125: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,577 - acbm.assigning - DEBUG - Activity 180125: sampling based on floor area\n", - "2024-05-14 18:29:45,578 - acbm.assigning - DEBUG - Activity 180141: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,580 - acbm.assigning - DEBUG - Activity 180141: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,580 - acbm.assigning - DEBUG - Activity 180141: sampling based on floor area\n", - "2024-05-14 18:29:45,582 - acbm.assigning - DEBUG - Activity 180165: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,584 - acbm.assigning - DEBUG - Activity 180165: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,585 - acbm.assigning - DEBUG - Activity 180165: sampling based on floor area\n", - "2024-05-14 18:29:45,586 - acbm.assigning - DEBUG - Activity 180167: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,588 - acbm.assigning - DEBUG - Activity 180167: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,589 - acbm.assigning - DEBUG - Activity 180167: sampling based on floor area\n", - "2024-05-14 18:29:45,590 - acbm.assigning - DEBUG - Activity 180169: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,591 - acbm.assigning - DEBUG - Activity 180169: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,592 - acbm.assigning - DEBUG - Activity 180169: sampling based on floor area\n", - "2024-05-14 18:29:45,592 - acbm.assigning - DEBUG - Activity 180172: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,594 - acbm.assigning - DEBUG - Activity 180172: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,594 - acbm.assigning - DEBUG - Activity 180172: sampling based on floor area\n", - "2024-05-14 18:29:45,595 - acbm.assigning - DEBUG - Activity 180175: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,597 - acbm.assigning - DEBUG - Activity 180175: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,597 - acbm.assigning - DEBUG - Activity 180175: sampling based on floor area\n", - "2024-05-14 18:29:45,598 - acbm.assigning - DEBUG - Activity 180177: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,600 - acbm.assigning - DEBUG - Activity 180177: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,601 - acbm.assigning - DEBUG - Activity 180177: sampling based on floor area\n", - "2024-05-14 18:29:45,602 - acbm.assigning - DEBUG - Activity 180179: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,605 - acbm.assigning - DEBUG - Activity 180179: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,606 - acbm.assigning - DEBUG - Activity 180179: sampling based on floor area\n", - "2024-05-14 18:29:45,607 - acbm.assigning - DEBUG - Activity 180181: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,609 - acbm.assigning - DEBUG - Activity 180181: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,610 - acbm.assigning - DEBUG - Activity 180181: sampling based on floor area\n", - "2024-05-14 18:29:45,612 - acbm.assigning - DEBUG - Activity 180189: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,614 - acbm.assigning - DEBUG - Activity 180189: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,615 - acbm.assigning - DEBUG - Activity 180189: sampling based on floor area\n", - "2024-05-14 18:29:45,617 - acbm.assigning - DEBUG - Activity 180217: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,619 - acbm.assigning - DEBUG - Activity 180217: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,620 - acbm.assigning - DEBUG - Activity 180217: sampling based on floor area\n", - "2024-05-14 18:29:45,621 - acbm.assigning - DEBUG - Activity 180218: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,624 - acbm.assigning - DEBUG - Activity 180218: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,624 - acbm.assigning - DEBUG - Activity 180218: sampling based on floor area\n", - "2024-05-14 18:29:45,626 - acbm.assigning - DEBUG - Activity 180219: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,628 - acbm.assigning - DEBUG - Activity 180219: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,629 - acbm.assigning - DEBUG - Activity 180219: sampling based on floor area\n", - "2024-05-14 18:29:45,631 - acbm.assigning - DEBUG - Activity 180221: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,633 - acbm.assigning - DEBUG - Activity 180221: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,634 - acbm.assigning - DEBUG - Activity 180221: sampling based on floor area\n", - "2024-05-14 18:29:45,636 - acbm.assigning - DEBUG - Activity 180222: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,638 - acbm.assigning - DEBUG - Activity 180222: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,648 - acbm.assigning - DEBUG - Activity 180222: sampling based on floor area\n", - "2024-05-14 18:29:45,650 - acbm.assigning - DEBUG - Activity 180226: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,653 - acbm.assigning - DEBUG - Activity 180226: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,654 - acbm.assigning - DEBUG - Activity 180226: sampling based on floor area\n", - "2024-05-14 18:29:45,655 - acbm.assigning - DEBUG - Activity 180246: Initial number of options for activity = 67\n", - "2024-05-14 18:29:45,657 - acbm.assigning - DEBUG - Activity 180246: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:45,658 - acbm.assigning - DEBUG - Activity 180246: sampling based on floor area\n", - "2024-05-14 18:29:45,659 - acbm.assigning - DEBUG - Activity 180248: Initial number of options for activity = 67\n", - "2024-05-14 18:29:45,661 - acbm.assigning - DEBUG - Activity 180248: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:45,662 - acbm.assigning - DEBUG - Activity 180248: sampling based on floor area\n", - "2024-05-14 18:29:45,663 - acbm.assigning - DEBUG - Activity 180250: Initial number of options for activity = 67\n", - "2024-05-14 18:29:45,665 - acbm.assigning - DEBUG - Activity 180250: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:45,665 - acbm.assigning - DEBUG - Activity 180250: sampling based on floor area\n", - "2024-05-14 18:29:45,667 - acbm.assigning - DEBUG - Activity 180252: Initial number of options for activity = 67\n", - "2024-05-14 18:29:45,669 - acbm.assigning - DEBUG - Activity 180252: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:45,670 - acbm.assigning - DEBUG - Activity 180252: sampling based on floor area\n", - "2024-05-14 18:29:45,671 - acbm.assigning - DEBUG - Activity 180352: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,673 - acbm.assigning - DEBUG - Activity 180352: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,674 - acbm.assigning - DEBUG - Activity 180352: sampling based on floor area\n", - "2024-05-14 18:29:45,676 - acbm.assigning - DEBUG - Activity 180549: Initial number of options for activity = 11\n", - "2024-05-14 18:29:45,678 - acbm.assigning - DEBUG - Activity 180549: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:45,679 - acbm.assigning - DEBUG - Activity 180549: sampling based on floor area\n", - "2024-05-14 18:29:45,680 - acbm.assigning - INFO - Activity 180564: No zones available\n", - "2024-05-14 18:29:45,681 - acbm.assigning - DEBUG - Activity 180674: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,683 - acbm.assigning - DEBUG - Activity 180674: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,684 - acbm.assigning - DEBUG - Activity 180674: sampling based on floor area\n", - "2024-05-14 18:29:45,685 - acbm.assigning - DEBUG - Activity 180677: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,688 - acbm.assigning - DEBUG - Activity 180677: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,689 - acbm.assigning - DEBUG - Activity 180677: sampling based on floor area\n", - "2024-05-14 18:29:45,690 - acbm.assigning - DEBUG - Activity 180678: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,692 - acbm.assigning - DEBUG - Activity 180678: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,693 - acbm.assigning - DEBUG - Activity 180678: sampling based on floor area\n", - "2024-05-14 18:29:45,695 - acbm.assigning - DEBUG - Activity 180679: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,698 - acbm.assigning - DEBUG - Activity 180679: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,702 - acbm.assigning - DEBUG - Activity 180679: sampling based on floor area\n", - "2024-05-14 18:29:45,704 - acbm.assigning - DEBUG - Activity 180683: Initial number of options for activity = 3\n", - "2024-05-14 18:29:45,707 - acbm.assigning - DEBUG - Activity 180683: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:45,709 - acbm.assigning - DEBUG - Activity 180683: sampling based on floor area\n", - "2024-05-14 18:29:45,710 - acbm.assigning - DEBUG - Activity 180733: Initial number of options for activity = 28\n", - "2024-05-14 18:29:45,714 - acbm.assigning - DEBUG - Activity 180733: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:45,715 - acbm.assigning - DEBUG - Activity 180733: sampling based on floor area\n", - "2024-05-14 18:29:45,717 - acbm.assigning - DEBUG - Activity 180734: Initial number of options for activity = 26\n", - "2024-05-14 18:29:45,720 - acbm.assigning - DEBUG - Activity 180734: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:45,721 - acbm.assigning - DEBUG - Activity 180734: sampling based on floor area\n", - "2024-05-14 18:29:45,725 - acbm.assigning - DEBUG - Activity 180735: Initial number of options for activity = 26\n", - "2024-05-14 18:29:45,729 - acbm.assigning - DEBUG - Activity 180735: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:45,730 - acbm.assigning - DEBUG - Activity 180735: sampling based on floor area\n", - "2024-05-14 18:29:45,732 - acbm.assigning - DEBUG - Activity 180736: Initial number of options for activity = 26\n", - "2024-05-14 18:29:45,736 - acbm.assigning - DEBUG - Activity 180736: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:45,737 - acbm.assigning - DEBUG - Activity 180736: sampling based on floor area\n", - "2024-05-14 18:29:45,739 - acbm.assigning - DEBUG - Activity 180742: Initial number of options for activity = 29\n", - "2024-05-14 18:29:45,741 - acbm.assigning - DEBUG - Activity 180742: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:45,742 - acbm.assigning - DEBUG - Activity 180742: sampling based on floor area\n", - "2024-05-14 18:29:45,743 - acbm.assigning - INFO - Activity 180987: No zones available\n", - "2024-05-14 18:29:45,744 - acbm.assigning - DEBUG - Activity 181068: Initial number of options for activity = 7\n", - "2024-05-14 18:29:45,747 - acbm.assigning - DEBUG - Activity 181068: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:45,748 - acbm.assigning - DEBUG - Activity 181068: sampling based on floor area\n", - "2024-05-14 18:29:45,749 - acbm.assigning - DEBUG - Activity 181071: Initial number of options for activity = 7\n", - "2024-05-14 18:29:45,752 - acbm.assigning - DEBUG - Activity 181071: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:45,753 - acbm.assigning - DEBUG - Activity 181071: sampling based on floor area\n", - "2024-05-14 18:29:45,754 - acbm.assigning - DEBUG - Activity 181197: Initial number of options for activity = 11\n", - "2024-05-14 18:29:45,757 - acbm.assigning - DEBUG - Activity 181197: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:45,758 - acbm.assigning - DEBUG - Activity 181197: sampling based on floor area\n", - "2024-05-14 18:29:45,759 - acbm.assigning - DEBUG - Activity 181199: Initial number of options for activity = 11\n", - "2024-05-14 18:29:45,761 - acbm.assigning - DEBUG - Activity 181199: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:45,762 - acbm.assigning - DEBUG - Activity 181199: sampling based on floor area\n", - "2024-05-14 18:29:45,764 - acbm.assigning - DEBUG - Activity 181203: Initial number of options for activity = 11\n", - "2024-05-14 18:29:45,767 - acbm.assigning - DEBUG - Activity 181203: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:45,768 - acbm.assigning - DEBUG - Activity 181203: sampling based on floor area\n", - "2024-05-14 18:29:45,769 - acbm.assigning - DEBUG - Activity 181205: Initial number of options for activity = 11\n", - "2024-05-14 18:29:45,773 - acbm.assigning - DEBUG - Activity 181205: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:45,773 - acbm.assigning - DEBUG - Activity 181205: sampling based on floor area\n", - "2024-05-14 18:29:45,775 - acbm.assigning - DEBUG - Activity 181271: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,777 - acbm.assigning - DEBUG - Activity 181271: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,778 - acbm.assigning - DEBUG - Activity 181271: sampling based on floor area\n", - "2024-05-14 18:29:45,780 - acbm.assigning - DEBUG - Activity 181425: Initial number of options for activity = 10\n", - "2024-05-14 18:29:45,783 - acbm.assigning - DEBUG - Activity 181425: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:45,784 - acbm.assigning - DEBUG - Activity 181425: sampling based on floor area\n", - "2024-05-14 18:29:45,785 - acbm.assigning - DEBUG - Activity 181439: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,788 - acbm.assigning - DEBUG - Activity 181439: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,789 - acbm.assigning - DEBUG - Activity 181439: sampling based on floor area\n", - "2024-05-14 18:29:45,791 - acbm.assigning - DEBUG - Activity 181442: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,794 - acbm.assigning - DEBUG - Activity 181442: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,795 - acbm.assigning - DEBUG - Activity 181442: sampling based on floor area\n", - "2024-05-14 18:29:45,798 - acbm.assigning - DEBUG - Activity 181445: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,801 - acbm.assigning - DEBUG - Activity 181445: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,802 - acbm.assigning - DEBUG - Activity 181445: sampling based on floor area\n", - "2024-05-14 18:29:45,803 - acbm.assigning - DEBUG - Activity 181447: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,806 - acbm.assigning - DEBUG - Activity 181447: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,807 - acbm.assigning - DEBUG - Activity 181447: sampling based on floor area\n", - "2024-05-14 18:29:45,808 - acbm.assigning - DEBUG - Activity 181448: Initial number of options for activity = 4\n", - "2024-05-14 18:29:45,810 - acbm.assigning - DEBUG - Activity 181448: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:45,812 - acbm.assigning - DEBUG - Activity 181448: sampling based on floor area\n", - "2024-05-14 18:29:45,813 - acbm.assigning - DEBUG - Activity 181449: Initial number of options for activity = 15\n", - "2024-05-14 18:29:45,817 - acbm.assigning - DEBUG - Activity 181449: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:45,818 - acbm.assigning - DEBUG - Activity 181449: sampling based on floor area\n", - "2024-05-14 18:29:45,820 - acbm.assigning - DEBUG - Activity 181451: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,822 - acbm.assigning - DEBUG - Activity 181451: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,823 - acbm.assigning - DEBUG - Activity 181451: sampling based on floor area\n", - "2024-05-14 18:29:45,825 - acbm.assigning - INFO - Activity 181524: No zones available\n", - "2024-05-14 18:29:45,826 - acbm.assigning - DEBUG - Activity 181529: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,828 - acbm.assigning - DEBUG - Activity 181529: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,829 - acbm.assigning - DEBUG - Activity 181529: sampling based on floor area\n", - "2024-05-14 18:29:45,831 - acbm.assigning - DEBUG - Activity 181533: Initial number of options for activity = 2\n", - "2024-05-14 18:29:45,833 - acbm.assigning - DEBUG - Activity 181533: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:45,834 - acbm.assigning - DEBUG - Activity 181533: sampling based on floor area\n", - "2024-05-14 18:29:45,837 - acbm.assigning - DEBUG - Activity 181632: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,839 - acbm.assigning - DEBUG - Activity 181632: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,840 - acbm.assigning - DEBUG - Activity 181632: sampling based on floor area\n", - "2024-05-14 18:29:45,842 - acbm.assigning - DEBUG - Activity 181634: Initial number of options for activity = 89\n", - "2024-05-14 18:29:45,845 - acbm.assigning - DEBUG - Activity 181634: Number of options after filtering by education type: 89\n", - "2024-05-14 18:29:45,846 - acbm.assigning - DEBUG - Activity 181634: sampling based on floor area\n", - "2024-05-14 18:29:45,847 - acbm.assigning - DEBUG - Activity 181635: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,850 - acbm.assigning - DEBUG - Activity 181635: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,851 - acbm.assigning - DEBUG - Activity 181635: sampling based on floor area\n", - "2024-05-14 18:29:45,852 - acbm.assigning - DEBUG - Activity 181640: Initial number of options for activity = 131\n", - "2024-05-14 18:29:45,855 - acbm.assigning - DEBUG - Activity 181640: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:45,857 - acbm.assigning - DEBUG - Activity 181640: sampling based on floor area\n", - "2024-05-14 18:29:45,858 - acbm.assigning - DEBUG - Activity 181642: Initial number of options for activity = 129\n", - "2024-05-14 18:29:45,860 - acbm.assigning - DEBUG - Activity 181642: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:45,861 - acbm.assigning - DEBUG - Activity 181642: sampling based on floor area\n", - "2024-05-14 18:29:45,862 - acbm.assigning - DEBUG - Activity 181650: Initial number of options for activity = 39\n", - "2024-05-14 18:29:45,864 - acbm.assigning - DEBUG - Activity 181650: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:45,873 - acbm.assigning - DEBUG - Activity 181650: sampling based on floor area\n", - "2024-05-14 18:29:45,874 - acbm.assigning - DEBUG - Activity 181654: Initial number of options for activity = 38\n", - "2024-05-14 18:29:45,878 - acbm.assigning - DEBUG - Activity 181654: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:45,880 - acbm.assigning - DEBUG - Activity 181654: sampling based on floor area\n", - "2024-05-14 18:29:45,882 - acbm.assigning - DEBUG - Activity 181656: Initial number of options for activity = 51\n", - "2024-05-14 18:29:45,884 - acbm.assigning - DEBUG - Activity 181656: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:45,885 - acbm.assigning - DEBUG - Activity 181656: sampling based on floor area\n", - "2024-05-14 18:29:45,887 - acbm.assigning - DEBUG - Activity 181657: Initial number of options for activity = 51\n", - "2024-05-14 18:29:45,889 - acbm.assigning - DEBUG - Activity 181657: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:45,890 - acbm.assigning - DEBUG - Activity 181657: sampling based on floor area\n", - "2024-05-14 18:29:45,891 - acbm.assigning - DEBUG - Activity 181658: Initial number of options for activity = 51\n", - "2024-05-14 18:29:45,893 - acbm.assigning - DEBUG - Activity 181658: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:45,894 - acbm.assigning - DEBUG - Activity 181658: sampling based on floor area\n", - "2024-05-14 18:29:45,896 - acbm.assigning - DEBUG - Activity 181772: Initial number of options for activity = 54\n", - "2024-05-14 18:29:45,898 - acbm.assigning - DEBUG - Activity 181772: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:45,899 - acbm.assigning - DEBUG - Activity 181772: sampling based on floor area\n", - "2024-05-14 18:29:45,900 - acbm.assigning - DEBUG - Activity 181774: Initial number of options for activity = 54\n", - "2024-05-14 18:29:45,903 - acbm.assigning - DEBUG - Activity 181774: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:45,904 - acbm.assigning - DEBUG - Activity 181774: sampling based on floor area\n", - "2024-05-14 18:29:45,906 - acbm.assigning - DEBUG - Activity 181776: Initial number of options for activity = 54\n", - "2024-05-14 18:29:45,908 - acbm.assigning - DEBUG - Activity 181776: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:45,908 - acbm.assigning - DEBUG - Activity 181776: sampling based on floor area\n", - "2024-05-14 18:29:45,909 - acbm.assigning - DEBUG - Activity 181778: Initial number of options for activity = 54\n", - "2024-05-14 18:29:45,911 - acbm.assigning - DEBUG - Activity 181778: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:45,911 - acbm.assigning - DEBUG - Activity 181778: sampling based on floor area\n", - "2024-05-14 18:29:45,912 - acbm.assigning - DEBUG - Activity 181780: Initial number of options for activity = 54\n", - "2024-05-14 18:29:45,914 - acbm.assigning - DEBUG - Activity 181780: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:45,915 - acbm.assigning - DEBUG - Activity 181780: sampling based on floor area\n", - "2024-05-14 18:29:45,916 - acbm.assigning - DEBUG - Activity 181920: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,920 - acbm.assigning - DEBUG - Activity 181920: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,921 - acbm.assigning - DEBUG - Activity 181920: sampling based on floor area\n", - "2024-05-14 18:29:45,922 - acbm.assigning - DEBUG - Activity 181922: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,924 - acbm.assigning - DEBUG - Activity 181922: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,925 - acbm.assigning - DEBUG - Activity 181922: sampling based on floor area\n", - "2024-05-14 18:29:45,926 - acbm.assigning - DEBUG - Activity 181924: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,928 - acbm.assigning - DEBUG - Activity 181924: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,929 - acbm.assigning - DEBUG - Activity 181924: sampling based on floor area\n", - "2024-05-14 18:29:45,930 - acbm.assigning - DEBUG - Activity 181926: Initial number of options for activity = 124\n", - "2024-05-14 18:29:45,932 - acbm.assigning - DEBUG - Activity 181926: Number of options after filtering by education type: 124\n", - "2024-05-14 18:29:45,933 - acbm.assigning - DEBUG - Activity 181926: sampling based on floor area\n", - "2024-05-14 18:29:45,934 - acbm.assigning - DEBUG - Activity 182031: Initial number of options for activity = 10\n", - "2024-05-14 18:29:45,937 - acbm.assigning - DEBUG - Activity 182031: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:45,937 - acbm.assigning - DEBUG - Activity 182031: sampling based on floor area\n", - "2024-05-14 18:29:45,939 - acbm.assigning - DEBUG - Activity 182035: Initial number of options for activity = 10\n", - "2024-05-14 18:29:45,941 - acbm.assigning - DEBUG - Activity 182035: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:45,942 - acbm.assigning - DEBUG - Activity 182035: sampling based on floor area\n", - "2024-05-14 18:29:45,943 - acbm.assigning - DEBUG - Activity 182037: Initial number of options for activity = 10\n", - "2024-05-14 18:29:45,946 - acbm.assigning - DEBUG - Activity 182037: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:45,947 - acbm.assigning - DEBUG - Activity 182037: sampling based on floor area\n", - "2024-05-14 18:29:45,948 - acbm.assigning - DEBUG - Activity 182039: Initial number of options for activity = 10\n", - "2024-05-14 18:29:45,950 - acbm.assigning - DEBUG - Activity 182039: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:45,958 - acbm.assigning - DEBUG - Activity 182039: sampling based on floor area\n", - "2024-05-14 18:29:45,959 - acbm.assigning - DEBUG - Activity 182041: Initial number of options for activity = 10\n", - "2024-05-14 18:29:45,963 - acbm.assigning - DEBUG - Activity 182041: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:45,964 - acbm.assigning - DEBUG - Activity 182041: sampling based on floor area\n", - "2024-05-14 18:29:45,966 - acbm.assigning - DEBUG - Activity 182144: Initial number of options for activity = 59\n", - "2024-05-14 18:29:45,969 - acbm.assigning - DEBUG - Activity 182144: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:45,970 - acbm.assigning - DEBUG - Activity 182144: sampling based on floor area\n", - "2024-05-14 18:29:45,971 - acbm.assigning - DEBUG - Activity 182146: Initial number of options for activity = 59\n", - "2024-05-14 18:29:45,973 - acbm.assigning - DEBUG - Activity 182146: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:45,974 - acbm.assigning - DEBUG - Activity 182146: sampling based on floor area\n", - "2024-05-14 18:29:45,975 - acbm.assigning - DEBUG - Activity 182148: Initial number of options for activity = 59\n", - "2024-05-14 18:29:45,977 - acbm.assigning - DEBUG - Activity 182148: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:45,978 - acbm.assigning - DEBUG - Activity 182148: sampling based on floor area\n", - "2024-05-14 18:29:45,980 - acbm.assigning - DEBUG - Activity 182150: Initial number of options for activity = 59\n", - "2024-05-14 18:29:45,984 - acbm.assigning - DEBUG - Activity 182150: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:45,985 - acbm.assigning - DEBUG - Activity 182150: sampling based on floor area\n", - "2024-05-14 18:29:45,987 - acbm.assigning - INFO - Activity 182332: No zones available\n", - "2024-05-14 18:29:45,988 - acbm.assigning - INFO - Activity 182348: No zones available\n", - "2024-05-14 18:29:45,989 - acbm.assigning - INFO - Activity 182357: No zones available\n", - "2024-05-14 18:29:45,989 - acbm.assigning - DEBUG - Activity 182527: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,991 - acbm.assigning - DEBUG - Activity 182527: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,992 - acbm.assigning - DEBUG - Activity 182527: sampling based on floor area\n", - "2024-05-14 18:29:45,994 - acbm.assigning - DEBUG - Activity 182710: Initial number of options for activity = 1\n", - "2024-05-14 18:29:45,996 - acbm.assigning - DEBUG - Activity 182710: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:45,997 - acbm.assigning - DEBUG - Activity 182710: sampling based on floor area\n", - "2024-05-14 18:29:45,999 - acbm.assigning - INFO - Activity 182802: No zones available\n", - "2024-05-14 18:29:46,000 - acbm.assigning - DEBUG - Activity 182850: Initial number of options for activity = 7\n", - "2024-05-14 18:29:46,003 - acbm.assigning - DEBUG - Activity 182850: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:46,003 - acbm.assigning - DEBUG - Activity 182850: sampling based on floor area\n", - "2024-05-14 18:29:46,005 - acbm.assigning - DEBUG - Activity 182854: Initial number of options for activity = 7\n", - "2024-05-14 18:29:46,006 - acbm.assigning - DEBUG - Activity 182854: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:46,007 - acbm.assigning - DEBUG - Activity 182854: sampling based on floor area\n", - "2024-05-14 18:29:46,008 - acbm.assigning - DEBUG - Activity 182858: Initial number of options for activity = 7\n", - "2024-05-14 18:29:46,009 - acbm.assigning - DEBUG - Activity 182858: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:46,010 - acbm.assigning - DEBUG - Activity 182858: sampling based on floor area\n", - "2024-05-14 18:29:46,011 - acbm.assigning - DEBUG - Activity 182860: Initial number of options for activity = 7\n", - "2024-05-14 18:29:46,013 - acbm.assigning - DEBUG - Activity 182860: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:46,014 - acbm.assigning - DEBUG - Activity 182860: sampling based on floor area\n", - "2024-05-14 18:29:46,016 - acbm.assigning - DEBUG - Activity 182864: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,019 - acbm.assigning - DEBUG - Activity 182864: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,019 - acbm.assigning - DEBUG - Activity 182864: sampling based on floor area\n", - "2024-05-14 18:29:46,021 - acbm.assigning - DEBUG - Activity 182998: Initial number of options for activity = 61\n", - "2024-05-14 18:29:46,024 - acbm.assigning - DEBUG - Activity 182998: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:46,025 - acbm.assigning - DEBUG - Activity 182998: sampling based on floor area\n", - "2024-05-14 18:29:46,026 - acbm.assigning - DEBUG - Activity 183000: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,034 - acbm.assigning - DEBUG - Activity 183000: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,035 - acbm.assigning - DEBUG - Activity 183000: sampling based on floor area\n", - "2024-05-14 18:29:46,036 - acbm.assigning - DEBUG - Activity 183002: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,038 - acbm.assigning - DEBUG - Activity 183002: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,040 - acbm.assigning - DEBUG - Activity 183002: sampling based on floor area\n", - "2024-05-14 18:29:46,049 - acbm.assigning - DEBUG - Activity 183004: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,053 - acbm.assigning - DEBUG - Activity 183004: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,054 - acbm.assigning - DEBUG - Activity 183004: sampling based on floor area\n", - "2024-05-14 18:29:46,056 - acbm.assigning - INFO - Activity 183111: No zones available\n", - "2024-05-14 18:29:46,057 - acbm.assigning - DEBUG - Activity 183145: Initial number of options for activity = 96\n", - "2024-05-14 18:29:46,060 - acbm.assigning - DEBUG - Activity 183145: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:46,062 - acbm.assigning - DEBUG - Activity 183145: sampling based on floor area\n", - "2024-05-14 18:29:46,063 - acbm.assigning - DEBUG - Activity 183147: Initial number of options for activity = 96\n", - "2024-05-14 18:29:46,067 - acbm.assigning - DEBUG - Activity 183147: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:46,068 - acbm.assigning - DEBUG - Activity 183147: sampling based on floor area\n", - "2024-05-14 18:29:46,069 - acbm.assigning - DEBUG - Activity 183149: Initial number of options for activity = 96\n", - "2024-05-14 18:29:46,071 - acbm.assigning - DEBUG - Activity 183149: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:46,072 - acbm.assigning - DEBUG - Activity 183149: sampling based on floor area\n", - "2024-05-14 18:29:46,074 - acbm.assigning - DEBUG - Activity 183151: Initial number of options for activity = 96\n", - "2024-05-14 18:29:46,076 - acbm.assigning - DEBUG - Activity 183151: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:46,076 - acbm.assigning - DEBUG - Activity 183151: sampling based on floor area\n", - "2024-05-14 18:29:46,078 - acbm.assigning - DEBUG - Activity 183155: Initial number of options for activity = 96\n", - "2024-05-14 18:29:46,079 - acbm.assigning - DEBUG - Activity 183155: Number of options after filtering by education type: 96\n", - "2024-05-14 18:29:46,080 - acbm.assigning - DEBUG - Activity 183155: sampling based on floor area\n", - "2024-05-14 18:29:46,082 - acbm.assigning - DEBUG - Activity 183183: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,084 - acbm.assigning - DEBUG - Activity 183183: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,085 - acbm.assigning - DEBUG - Activity 183183: sampling based on floor area\n", - "2024-05-14 18:29:46,086 - acbm.assigning - DEBUG - Activity 183185: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,089 - acbm.assigning - DEBUG - Activity 183185: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,090 - acbm.assigning - DEBUG - Activity 183185: sampling based on floor area\n", - "2024-05-14 18:29:46,091 - acbm.assigning - DEBUG - Activity 183187: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,094 - acbm.assigning - DEBUG - Activity 183187: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,095 - acbm.assigning - DEBUG - Activity 183187: sampling based on floor area\n", - "2024-05-14 18:29:46,096 - acbm.assigning - DEBUG - Activity 183189: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,098 - acbm.assigning - DEBUG - Activity 183189: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,099 - acbm.assigning - DEBUG - Activity 183189: sampling based on floor area\n", - "2024-05-14 18:29:46,101 - acbm.assigning - DEBUG - Activity 183191: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,104 - acbm.assigning - DEBUG - Activity 183191: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,105 - acbm.assigning - DEBUG - Activity 183191: sampling based on floor area\n", - "2024-05-14 18:29:46,107 - acbm.assigning - DEBUG - Activity 183395: Initial number of options for activity = 59\n", - "2024-05-14 18:29:46,110 - acbm.assigning - DEBUG - Activity 183395: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:46,111 - acbm.assigning - DEBUG - Activity 183395: sampling based on floor area\n", - "2024-05-14 18:29:46,115 - acbm.assigning - DEBUG - Activity 183396: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,118 - acbm.assigning - DEBUG - Activity 183396: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,120 - acbm.assigning - DEBUG - Activity 183396: sampling based on floor area\n", - "2024-05-14 18:29:46,121 - acbm.assigning - INFO - Activity 183404: No zones available\n", - "2024-05-14 18:29:46,122 - acbm.assigning - DEBUG - Activity 183447: Initial number of options for activity = 61\n", - "2024-05-14 18:29:46,125 - acbm.assigning - DEBUG - Activity 183447: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:46,126 - acbm.assigning - DEBUG - Activity 183447: sampling based on floor area\n", - "2024-05-14 18:29:46,127 - acbm.assigning - DEBUG - Activity 183480: Initial number of options for activity = 41\n", - "2024-05-14 18:29:46,129 - acbm.assigning - DEBUG - Activity 183480: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:46,131 - acbm.assigning - DEBUG - Activity 183480: sampling based on floor area\n", - "2024-05-14 18:29:46,133 - acbm.assigning - INFO - Activity 183484: No zones available\n", - "2024-05-14 18:29:46,135 - acbm.assigning - INFO - Activity 183485: No zones available\n", - "2024-05-14 18:29:46,136 - acbm.assigning - INFO - Activity 183486: No zones available\n", - "2024-05-14 18:29:46,137 - acbm.assigning - INFO - Activity 183488: No zones available\n", - "2024-05-14 18:29:46,138 - acbm.assigning - DEBUG - Activity 183838: Initial number of options for activity = 104\n", - "2024-05-14 18:29:46,140 - acbm.assigning - DEBUG - Activity 183838: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:46,141 - acbm.assigning - DEBUG - Activity 183838: sampling based on floor area\n", - "2024-05-14 18:29:46,142 - acbm.assigning - DEBUG - Activity 183845: Initial number of options for activity = 60\n", - "2024-05-14 18:29:46,145 - acbm.assigning - DEBUG - Activity 183845: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:46,147 - acbm.assigning - DEBUG - Activity 183845: sampling based on floor area\n", - "2024-05-14 18:29:46,148 - acbm.assigning - DEBUG - Activity 183847: Initial number of options for activity = 61\n", - "2024-05-14 18:29:46,151 - acbm.assigning - DEBUG - Activity 183847: Number of options after filtering by education type: 61\n", - "2024-05-14 18:29:46,152 - acbm.assigning - DEBUG - Activity 183847: sampling based on floor area\n", - "2024-05-14 18:29:46,154 - acbm.assigning - DEBUG - Activity 183851: Initial number of options for activity = 15\n", - "2024-05-14 18:29:46,155 - acbm.assigning - DEBUG - Activity 183851: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:46,156 - acbm.assigning - DEBUG - Activity 183851: sampling based on floor area\n", - "2024-05-14 18:29:46,157 - acbm.assigning - DEBUG - Activity 183963: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,159 - acbm.assigning - DEBUG - Activity 183963: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,159 - acbm.assigning - DEBUG - Activity 183963: sampling based on floor area\n", - "2024-05-14 18:29:46,160 - acbm.assigning - DEBUG - Activity 183967: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,162 - acbm.assigning - DEBUG - Activity 183967: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,163 - acbm.assigning - DEBUG - Activity 183967: sampling based on floor area\n", - "2024-05-14 18:29:46,163 - acbm.assigning - DEBUG - Activity 184150: Initial number of options for activity = 15\n", - "2024-05-14 18:29:46,165 - acbm.assigning - DEBUG - Activity 184150: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:46,166 - acbm.assigning - DEBUG - Activity 184150: sampling based on floor area\n", - "2024-05-14 18:29:46,167 - acbm.assigning - DEBUG - Activity 184164: Initial number of options for activity = 39\n", - "2024-05-14 18:29:46,170 - acbm.assigning - DEBUG - Activity 184164: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:46,171 - acbm.assigning - DEBUG - Activity 184164: sampling based on floor area\n", - "2024-05-14 18:29:46,173 - acbm.assigning - DEBUG - Activity 184165: Initial number of options for activity = 39\n", - "2024-05-14 18:29:46,176 - acbm.assigning - DEBUG - Activity 184165: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:46,177 - acbm.assigning - DEBUG - Activity 184165: sampling based on floor area\n", - "2024-05-14 18:29:46,178 - acbm.assigning - DEBUG - Activity 184166: Initial number of options for activity = 39\n", - "2024-05-14 18:29:46,180 - acbm.assigning - DEBUG - Activity 184166: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:46,184 - acbm.assigning - DEBUG - Activity 184166: sampling based on floor area\n", - "2024-05-14 18:29:46,186 - acbm.assigning - DEBUG - Activity 184170: Initial number of options for activity = 39\n", - "2024-05-14 18:29:46,189 - acbm.assigning - DEBUG - Activity 184170: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:46,190 - acbm.assigning - DEBUG - Activity 184170: sampling based on floor area\n", - "2024-05-14 18:29:46,191 - acbm.assigning - DEBUG - Activity 184172: Initial number of options for activity = 39\n", - "2024-05-14 18:29:46,195 - acbm.assigning - DEBUG - Activity 184172: Number of options after filtering by education type: 39\n", - "2024-05-14 18:29:46,196 - acbm.assigning - DEBUG - Activity 184172: sampling based on floor area\n", - "2024-05-14 18:29:46,198 - acbm.assigning - DEBUG - Activity 184174: Initial number of options for activity = 36\n", - "2024-05-14 18:29:46,201 - acbm.assigning - DEBUG - Activity 184174: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:46,202 - acbm.assigning - DEBUG - Activity 184174: sampling based on floor area\n", - "2024-05-14 18:29:46,203 - acbm.assigning - DEBUG - Activity 184175: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,205 - acbm.assigning - DEBUG - Activity 184175: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,205 - acbm.assigning - DEBUG - Activity 184175: sampling based on floor area\n", - "2024-05-14 18:29:46,207 - acbm.assigning - DEBUG - Activity 184176: Initial number of options for activity = 14\n", - "2024-05-14 18:29:46,208 - acbm.assigning - DEBUG - Activity 184176: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:46,209 - acbm.assigning - DEBUG - Activity 184176: sampling based on floor area\n", - "2024-05-14 18:29:46,210 - acbm.assigning - DEBUG - Activity 184177: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,211 - acbm.assigning - DEBUG - Activity 184177: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,212 - acbm.assigning - DEBUG - Activity 184177: sampling based on floor area\n", - "2024-05-14 18:29:46,213 - acbm.assigning - DEBUG - Activity 184178: Initial number of options for activity = 14\n", - "2024-05-14 18:29:46,216 - acbm.assigning - DEBUG - Activity 184178: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:46,217 - acbm.assigning - DEBUG - Activity 184178: sampling based on floor area\n", - "2024-05-14 18:29:46,218 - acbm.assigning - DEBUG - Activity 184329: Initial number of options for activity = 28\n", - "2024-05-14 18:29:46,221 - acbm.assigning - DEBUG - Activity 184329: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:46,221 - acbm.assigning - DEBUG - Activity 184329: sampling based on floor area\n", - "2024-05-14 18:29:46,222 - acbm.assigning - DEBUG - Activity 184331: Initial number of options for activity = 28\n", - "2024-05-14 18:29:46,224 - acbm.assigning - DEBUG - Activity 184331: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:46,225 - acbm.assigning - DEBUG - Activity 184331: sampling based on floor area\n", - "2024-05-14 18:29:46,226 - acbm.assigning - DEBUG - Activity 184334: Initial number of options for activity = 28\n", - "2024-05-14 18:29:46,228 - acbm.assigning - DEBUG - Activity 184334: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:46,229 - acbm.assigning - DEBUG - Activity 184334: sampling based on floor area\n", - "2024-05-14 18:29:46,230 - acbm.assigning - DEBUG - Activity 184336: Initial number of options for activity = 28\n", - "2024-05-14 18:29:46,232 - acbm.assigning - DEBUG - Activity 184336: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:46,234 - acbm.assigning - DEBUG - Activity 184336: sampling based on floor area\n", - "2024-05-14 18:29:46,235 - acbm.assigning - DEBUG - Activity 184341: Initial number of options for activity = 28\n", - "2024-05-14 18:29:46,238 - acbm.assigning - DEBUG - Activity 184341: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:46,238 - acbm.assigning - DEBUG - Activity 184341: sampling based on floor area\n", - "2024-05-14 18:29:46,240 - acbm.assigning - DEBUG - Activity 184411: Initial number of options for activity = 125\n", - "2024-05-14 18:29:46,242 - acbm.assigning - DEBUG - Activity 184411: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:46,243 - acbm.assigning - DEBUG - Activity 184411: sampling based on floor area\n", - "2024-05-14 18:29:46,244 - acbm.assigning - DEBUG - Activity 184413: Initial number of options for activity = 125\n", - "2024-05-14 18:29:46,245 - acbm.assigning - DEBUG - Activity 184413: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:46,253 - acbm.assigning - DEBUG - Activity 184413: sampling based on floor area\n", - "2024-05-14 18:29:46,255 - acbm.assigning - DEBUG - Activity 184415: Initial number of options for activity = 125\n", - "2024-05-14 18:29:46,258 - acbm.assigning - DEBUG - Activity 184415: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:46,259 - acbm.assigning - DEBUG - Activity 184415: sampling based on floor area\n", - "2024-05-14 18:29:46,261 - acbm.assigning - DEBUG - Activity 184417: Initial number of options for activity = 125\n", - "2024-05-14 18:29:46,263 - acbm.assigning - DEBUG - Activity 184417: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:46,264 - acbm.assigning - DEBUG - Activity 184417: sampling based on floor area\n", - "2024-05-14 18:29:46,266 - acbm.assigning - DEBUG - Activity 184421: Initial number of options for activity = 125\n", - "2024-05-14 18:29:46,269 - acbm.assigning - DEBUG - Activity 184421: Number of options after filtering by education type: 125\n", - "2024-05-14 18:29:46,270 - acbm.assigning - DEBUG - Activity 184421: sampling based on floor area\n", - "2024-05-14 18:29:46,271 - acbm.assigning - INFO - Activity 184462: No zones available\n", - "2024-05-14 18:29:46,272 - acbm.assigning - INFO - Activity 184463: No zones available\n", - "2024-05-14 18:29:46,272 - acbm.assigning - INFO - Activity 184464: No zones available\n", - "2024-05-14 18:29:46,273 - acbm.assigning - INFO - Activity 184467: No zones available\n", - "2024-05-14 18:29:46,274 - acbm.assigning - DEBUG - Activity 184699: Initial number of options for activity = 45\n", - "2024-05-14 18:29:46,277 - acbm.assigning - DEBUG - Activity 184699: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:46,278 - acbm.assigning - DEBUG - Activity 184699: sampling based on floor area\n", - "2024-05-14 18:29:46,280 - acbm.assigning - DEBUG - Activity 184701: Initial number of options for activity = 45\n", - "2024-05-14 18:29:46,283 - acbm.assigning - DEBUG - Activity 184701: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:46,284 - acbm.assigning - DEBUG - Activity 184701: sampling based on floor area\n", - "2024-05-14 18:29:46,286 - acbm.assigning - DEBUG - Activity 184703: Initial number of options for activity = 45\n", - "2024-05-14 18:29:46,288 - acbm.assigning - DEBUG - Activity 184703: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:46,289 - acbm.assigning - DEBUG - Activity 184703: sampling based on floor area\n", - "2024-05-14 18:29:46,291 - acbm.assigning - DEBUG - Activity 184705: Initial number of options for activity = 45\n", - "2024-05-14 18:29:46,294 - acbm.assigning - DEBUG - Activity 184705: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:46,294 - acbm.assigning - DEBUG - Activity 184705: sampling based on floor area\n", - "2024-05-14 18:29:46,295 - acbm.assigning - DEBUG - Activity 184737: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,297 - acbm.assigning - DEBUG - Activity 184737: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,298 - acbm.assigning - DEBUG - Activity 184737: sampling based on floor area\n", - "2024-05-14 18:29:46,299 - acbm.assigning - INFO - Activity 184854: No zones available\n", - "2024-05-14 18:29:46,300 - acbm.assigning - DEBUG - Activity 184887: Initial number of options for activity = 4\n", - "2024-05-14 18:29:46,302 - acbm.assigning - DEBUG - Activity 184887: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:46,302 - acbm.assigning - DEBUG - Activity 184887: sampling based on floor area\n", - "2024-05-14 18:29:46,303 - acbm.assigning - DEBUG - Activity 184889: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,305 - acbm.assigning - DEBUG - Activity 184889: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,306 - acbm.assigning - DEBUG - Activity 184889: sampling based on floor area\n", - "2024-05-14 18:29:46,307 - acbm.assigning - DEBUG - Activity 184890: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,308 - acbm.assigning - DEBUG - Activity 184890: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,309 - acbm.assigning - DEBUG - Activity 184890: sampling based on floor area\n", - "2024-05-14 18:29:46,310 - acbm.assigning - DEBUG - Activity 184893: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,312 - acbm.assigning - DEBUG - Activity 184893: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,312 - acbm.assigning - DEBUG - Activity 184893: sampling based on floor area\n", - "2024-05-14 18:29:46,313 - acbm.assigning - DEBUG - Activity 184895: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,315 - acbm.assigning - DEBUG - Activity 184895: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,316 - acbm.assigning - DEBUG - Activity 184895: sampling based on floor area\n", - "2024-05-14 18:29:46,318 - acbm.assigning - DEBUG - Activity 184898: Initial number of options for activity = 9\n", - "2024-05-14 18:29:46,320 - acbm.assigning - DEBUG - Activity 184898: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:46,321 - acbm.assigning - DEBUG - Activity 184898: sampling based on floor area\n", - "2024-05-14 18:29:46,322 - acbm.assigning - DEBUG - Activity 184903: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,325 - acbm.assigning - DEBUG - Activity 184903: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,326 - acbm.assigning - DEBUG - Activity 184903: sampling based on floor area\n", - "2024-05-14 18:29:46,328 - acbm.assigning - DEBUG - Activity 184904: Initial number of options for activity = 13\n", - "2024-05-14 18:29:46,330 - acbm.assigning - DEBUG - Activity 184904: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:46,331 - acbm.assigning - DEBUG - Activity 184904: sampling based on floor area\n", - "2024-05-14 18:29:46,332 - acbm.assigning - DEBUG - Activity 184906: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,334 - acbm.assigning - DEBUG - Activity 184906: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,335 - acbm.assigning - DEBUG - Activity 184906: sampling based on floor area\n", - "2024-05-14 18:29:46,336 - acbm.assigning - INFO - Activity 184964: No zones available\n", - "2024-05-14 18:29:46,338 - acbm.assigning - DEBUG - Activity 185019: Initial number of options for activity = 138\n", - "2024-05-14 18:29:46,340 - acbm.assigning - DEBUG - Activity 185019: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:46,341 - acbm.assigning - DEBUG - Activity 185019: sampling based on floor area\n", - "2024-05-14 18:29:46,342 - acbm.assigning - DEBUG - Activity 185021: Initial number of options for activity = 138\n", - "2024-05-14 18:29:46,345 - acbm.assigning - DEBUG - Activity 185021: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:46,345 - acbm.assigning - DEBUG - Activity 185021: sampling based on floor area\n", - "2024-05-14 18:29:46,346 - acbm.assigning - DEBUG - Activity 185023: Initial number of options for activity = 138\n", - "2024-05-14 18:29:46,349 - acbm.assigning - DEBUG - Activity 185023: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:46,350 - acbm.assigning - DEBUG - Activity 185023: sampling based on floor area\n", - "2024-05-14 18:29:46,351 - acbm.assigning - DEBUG - Activity 185025: Initial number of options for activity = 138\n", - "2024-05-14 18:29:46,354 - acbm.assigning - DEBUG - Activity 185025: Number of options after filtering by education type: 138\n", - "2024-05-14 18:29:46,354 - acbm.assigning - DEBUG - Activity 185025: sampling based on floor area\n", - "2024-05-14 18:29:46,355 - acbm.assigning - DEBUG - Activity 185072: Initial number of options for activity = 141\n", - "2024-05-14 18:29:46,357 - acbm.assigning - DEBUG - Activity 185072: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:46,358 - acbm.assigning - DEBUG - Activity 185072: sampling based on floor area\n", - "2024-05-14 18:29:46,359 - acbm.assigning - DEBUG - Activity 185074: Initial number of options for activity = 141\n", - "2024-05-14 18:29:46,361 - acbm.assigning - DEBUG - Activity 185074: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:46,362 - acbm.assigning - DEBUG - Activity 185074: sampling based on floor area\n", - "2024-05-14 18:29:46,364 - acbm.assigning - DEBUG - Activity 185076: Initial number of options for activity = 141\n", - "2024-05-14 18:29:46,366 - acbm.assigning - DEBUG - Activity 185076: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:46,367 - acbm.assigning - DEBUG - Activity 185076: sampling based on floor area\n", - "2024-05-14 18:29:46,368 - acbm.assigning - DEBUG - Activity 185078: Initial number of options for activity = 141\n", - "2024-05-14 18:29:46,371 - acbm.assigning - DEBUG - Activity 185078: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:46,372 - acbm.assigning - DEBUG - Activity 185078: sampling based on floor area\n", - "2024-05-14 18:29:46,374 - acbm.assigning - DEBUG - Activity 185164: Initial number of options for activity = 8\n", - "2024-05-14 18:29:46,376 - acbm.assigning - DEBUG - Activity 185164: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:46,377 - acbm.assigning - DEBUG - Activity 185164: sampling based on floor area\n", - "2024-05-14 18:29:46,378 - acbm.assigning - DEBUG - Activity 185170: Initial number of options for activity = 51\n", - "2024-05-14 18:29:46,381 - acbm.assigning - DEBUG - Activity 185170: Number of options after filtering by education type: 51\n", - "2024-05-14 18:29:46,382 - acbm.assigning - DEBUG - Activity 185170: sampling based on floor area\n", - "2024-05-14 18:29:46,383 - acbm.assigning - DEBUG - Activity 185172: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,386 - acbm.assigning - DEBUG - Activity 185172: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,387 - acbm.assigning - DEBUG - Activity 185172: sampling based on floor area\n", - "2024-05-14 18:29:46,389 - acbm.assigning - DEBUG - Activity 185222: Initial number of options for activity = 2\n", - "2024-05-14 18:29:46,392 - acbm.assigning - DEBUG - Activity 185222: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:46,393 - acbm.assigning - DEBUG - Activity 185222: sampling based on floor area\n", - "2024-05-14 18:29:46,394 - acbm.assigning - DEBUG - Activity 185224: Initial number of options for activity = 6\n", - "2024-05-14 18:29:46,397 - acbm.assigning - DEBUG - Activity 185224: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:46,398 - acbm.assigning - DEBUG - Activity 185224: sampling based on floor area\n", - "2024-05-14 18:29:46,399 - acbm.assigning - DEBUG - Activity 185229: Initial number of options for activity = 6\n", - "2024-05-14 18:29:46,402 - acbm.assigning - DEBUG - Activity 185229: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:46,403 - acbm.assigning - DEBUG - Activity 185229: sampling based on floor area\n", - "2024-05-14 18:29:46,404 - acbm.assigning - DEBUG - Activity 185230: Initial number of options for activity = 3\n", - "2024-05-14 18:29:46,408 - acbm.assigning - DEBUG - Activity 185230: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:46,409 - acbm.assigning - DEBUG - Activity 185230: sampling based on floor area\n", - "2024-05-14 18:29:46,411 - acbm.assigning - DEBUG - Activity 185276: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,413 - acbm.assigning - DEBUG - Activity 185276: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,414 - acbm.assigning - DEBUG - Activity 185276: sampling based on floor area\n", - "2024-05-14 18:29:46,415 - acbm.assigning - DEBUG - Activity 185292: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,417 - acbm.assigning - DEBUG - Activity 185292: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,418 - acbm.assigning - DEBUG - Activity 185292: sampling based on floor area\n", - "2024-05-14 18:29:46,419 - acbm.assigning - DEBUG - Activity 185294: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,422 - acbm.assigning - DEBUG - Activity 185294: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,423 - acbm.assigning - DEBUG - Activity 185294: sampling based on floor area\n", - "2024-05-14 18:29:46,424 - acbm.assigning - DEBUG - Activity 185296: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,427 - acbm.assigning - DEBUG - Activity 185296: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,428 - acbm.assigning - DEBUG - Activity 185296: sampling based on floor area\n", - "2024-05-14 18:29:46,429 - acbm.assigning - DEBUG - Activity 185298: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,430 - acbm.assigning - DEBUG - Activity 185298: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,431 - acbm.assigning - DEBUG - Activity 185298: sampling based on floor area\n", - "2024-05-14 18:29:46,432 - acbm.assigning - DEBUG - Activity 185300: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,434 - acbm.assigning - DEBUG - Activity 185300: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,435 - acbm.assigning - DEBUG - Activity 185300: sampling based on floor area\n", - "2024-05-14 18:29:46,437 - acbm.assigning - DEBUG - Activity 185311: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,439 - acbm.assigning - DEBUG - Activity 185311: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,440 - acbm.assigning - DEBUG - Activity 185311: sampling based on floor area\n", - "2024-05-14 18:29:46,441 - acbm.assigning - DEBUG - Activity 185313: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,443 - acbm.assigning - DEBUG - Activity 185313: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,444 - acbm.assigning - DEBUG - Activity 185313: sampling based on floor area\n", - "2024-05-14 18:29:46,445 - acbm.assigning - DEBUG - Activity 185317: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,447 - acbm.assigning - DEBUG - Activity 185317: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,448 - acbm.assigning - DEBUG - Activity 185317: sampling based on floor area\n", - "2024-05-14 18:29:46,449 - acbm.assigning - DEBUG - Activity 185362: Initial number of options for activity = 5\n", - "2024-05-14 18:29:46,452 - acbm.assigning - DEBUG - Activity 185362: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:46,453 - acbm.assigning - DEBUG - Activity 185362: sampling based on floor area\n", - "2024-05-14 18:29:46,454 - acbm.assigning - DEBUG - Activity 185366: Initial number of options for activity = 5\n", - "2024-05-14 18:29:46,456 - acbm.assigning - DEBUG - Activity 185366: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:46,456 - acbm.assigning - DEBUG - Activity 185366: sampling based on floor area\n", - "2024-05-14 18:29:46,458 - acbm.assigning - DEBUG - Activity 185368: Initial number of options for activity = 9\n", - "2024-05-14 18:29:46,461 - acbm.assigning - DEBUG - Activity 185368: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:46,462 - acbm.assigning - DEBUG - Activity 185368: sampling based on floor area\n", - "2024-05-14 18:29:46,463 - acbm.assigning - DEBUG - Activity 185372: Initial number of options for activity = 9\n", - "2024-05-14 18:29:46,465 - acbm.assigning - DEBUG - Activity 185372: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:46,466 - acbm.assigning - DEBUG - Activity 185372: sampling based on floor area\n", - "2024-05-14 18:29:46,468 - acbm.assigning - DEBUG - Activity 185374: Initial number of options for activity = 9\n", - "2024-05-14 18:29:46,471 - acbm.assigning - DEBUG - Activity 185374: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:46,472 - acbm.assigning - DEBUG - Activity 185374: sampling based on floor area\n", - "2024-05-14 18:29:46,473 - acbm.assigning - DEBUG - Activity 185535: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,475 - acbm.assigning - DEBUG - Activity 185535: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,476 - acbm.assigning - DEBUG - Activity 185535: sampling based on floor area\n", - "2024-05-14 18:29:46,477 - acbm.assigning - DEBUG - Activity 185622: Initial number of options for activity = 27\n", - "2024-05-14 18:29:46,479 - acbm.assigning - DEBUG - Activity 185622: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:46,480 - acbm.assigning - DEBUG - Activity 185622: sampling based on floor area\n", - "2024-05-14 18:29:46,481 - acbm.assigning - DEBUG - Activity 185624: Initial number of options for activity = 27\n", - "2024-05-14 18:29:46,483 - acbm.assigning - DEBUG - Activity 185624: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:46,484 - acbm.assigning - DEBUG - Activity 185624: sampling based on floor area\n", - "2024-05-14 18:29:46,485 - acbm.assigning - DEBUG - Activity 185626: Initial number of options for activity = 27\n", - "2024-05-14 18:29:46,487 - acbm.assigning - DEBUG - Activity 185626: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:46,488 - acbm.assigning - DEBUG - Activity 185626: sampling based on floor area\n", - "2024-05-14 18:29:46,489 - acbm.assigning - DEBUG - Activity 185628: Initial number of options for activity = 27\n", - "2024-05-14 18:29:46,492 - acbm.assigning - DEBUG - Activity 185628: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:46,493 - acbm.assigning - DEBUG - Activity 185628: sampling based on floor area\n", - "2024-05-14 18:29:46,494 - acbm.assigning - DEBUG - Activity 185755: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,496 - acbm.assigning - DEBUG - Activity 185755: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,497 - acbm.assigning - DEBUG - Activity 185755: sampling based on floor area\n", - "2024-05-14 18:29:46,498 - acbm.assigning - DEBUG - Activity 185757: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,500 - acbm.assigning - DEBUG - Activity 185757: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,501 - acbm.assigning - DEBUG - Activity 185757: sampling based on floor area\n", - "2024-05-14 18:29:46,502 - acbm.assigning - DEBUG - Activity 185761: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,504 - acbm.assigning - DEBUG - Activity 185761: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,504 - acbm.assigning - DEBUG - Activity 185761: sampling based on floor area\n", - "2024-05-14 18:29:46,505 - acbm.assigning - DEBUG - Activity 185763: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,507 - acbm.assigning - DEBUG - Activity 185763: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,507 - acbm.assigning - DEBUG - Activity 185763: sampling based on floor area\n", - "2024-05-14 18:29:46,509 - acbm.assigning - DEBUG - Activity 185765: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,511 - acbm.assigning - DEBUG - Activity 185765: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,512 - acbm.assigning - DEBUG - Activity 185765: sampling based on floor area\n", - "2024-05-14 18:29:46,513 - acbm.assigning - DEBUG - Activity 185939: Initial number of options for activity = 28\n", - "2024-05-14 18:29:46,515 - acbm.assigning - DEBUG - Activity 185939: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:46,516 - acbm.assigning - DEBUG - Activity 185939: sampling based on floor area\n", - "2024-05-14 18:29:46,517 - acbm.assigning - DEBUG - Activity 185941: Initial number of options for activity = 59\n", - "2024-05-14 18:29:46,519 - acbm.assigning - DEBUG - Activity 185941: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:46,519 - acbm.assigning - DEBUG - Activity 185941: sampling based on floor area\n", - "2024-05-14 18:29:46,521 - acbm.assigning - DEBUG - Activity 185943: Initial number of options for activity = 28\n", - "2024-05-14 18:29:46,522 - acbm.assigning - DEBUG - Activity 185943: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:46,523 - acbm.assigning - DEBUG - Activity 185943: sampling based on floor area\n", - "2024-05-14 18:29:46,525 - acbm.assigning - DEBUG - Activity 185994: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,527 - acbm.assigning - DEBUG - Activity 185994: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,528 - acbm.assigning - DEBUG - Activity 185994: sampling based on floor area\n", - "2024-05-14 18:29:46,529 - acbm.assigning - DEBUG - Activity 185996: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,531 - acbm.assigning - DEBUG - Activity 185996: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,532 - acbm.assigning - DEBUG - Activity 185996: sampling based on floor area\n", - "2024-05-14 18:29:46,533 - acbm.assigning - DEBUG - Activity 186001: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,536 - acbm.assigning - DEBUG - Activity 186001: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,537 - acbm.assigning - DEBUG - Activity 186001: sampling based on floor area\n", - "2024-05-14 18:29:46,538 - acbm.assigning - DEBUG - Activity 186002: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,540 - acbm.assigning - DEBUG - Activity 186002: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,541 - acbm.assigning - DEBUG - Activity 186002: sampling based on floor area\n", - "2024-05-14 18:29:46,542 - acbm.assigning - DEBUG - Activity 186003: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,544 - acbm.assigning - DEBUG - Activity 186003: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,545 - acbm.assigning - DEBUG - Activity 186003: sampling based on floor area\n", - "2024-05-14 18:29:46,546 - acbm.assigning - DEBUG - Activity 186004: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,548 - acbm.assigning - DEBUG - Activity 186004: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,549 - acbm.assigning - DEBUG - Activity 186004: sampling based on floor area\n", - "2024-05-14 18:29:46,550 - acbm.assigning - DEBUG - Activity 186006: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,552 - acbm.assigning - DEBUG - Activity 186006: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,553 - acbm.assigning - DEBUG - Activity 186006: sampling based on floor area\n", - "2024-05-14 18:29:46,554 - acbm.assigning - DEBUG - Activity 186011: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,556 - acbm.assigning - DEBUG - Activity 186011: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,557 - acbm.assigning - DEBUG - Activity 186011: sampling based on floor area\n", - "2024-05-14 18:29:46,558 - acbm.assigning - DEBUG - Activity 186012: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,561 - acbm.assigning - DEBUG - Activity 186012: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,562 - acbm.assigning - DEBUG - Activity 186012: sampling based on floor area\n", - "2024-05-14 18:29:46,563 - acbm.assigning - DEBUG - Activity 186013: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,566 - acbm.assigning - DEBUG - Activity 186013: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,567 - acbm.assigning - DEBUG - Activity 186013: sampling based on floor area\n", - "2024-05-14 18:29:46,568 - acbm.assigning - DEBUG - Activity 186085: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,570 - acbm.assigning - DEBUG - Activity 186085: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,571 - acbm.assigning - DEBUG - Activity 186085: sampling based on floor area\n", - "2024-05-14 18:29:46,572 - acbm.assigning - DEBUG - Activity 186087: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,574 - acbm.assigning - DEBUG - Activity 186087: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,575 - acbm.assigning - DEBUG - Activity 186087: sampling based on floor area\n", - "2024-05-14 18:29:46,577 - acbm.assigning - DEBUG - Activity 186089: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,579 - acbm.assigning - DEBUG - Activity 186089: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,580 - acbm.assigning - DEBUG - Activity 186089: sampling based on floor area\n", - "2024-05-14 18:29:46,581 - acbm.assigning - DEBUG - Activity 186090: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,583 - acbm.assigning - DEBUG - Activity 186090: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,584 - acbm.assigning - DEBUG - Activity 186090: sampling based on floor area\n", - "2024-05-14 18:29:46,585 - acbm.assigning - DEBUG - Activity 186094: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,587 - acbm.assigning - DEBUG - Activity 186094: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,588 - acbm.assigning - DEBUG - Activity 186094: sampling based on floor area\n", - "2024-05-14 18:29:46,589 - acbm.assigning - DEBUG - Activity 186097: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,592 - acbm.assigning - DEBUG - Activity 186097: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,593 - acbm.assigning - DEBUG - Activity 186097: sampling based on floor area\n", - "2024-05-14 18:29:46,594 - acbm.assigning - DEBUG - Activity 186100: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,597 - acbm.assigning - DEBUG - Activity 186100: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,598 - acbm.assigning - DEBUG - Activity 186100: sampling based on floor area\n", - "2024-05-14 18:29:46,599 - acbm.assigning - DEBUG - Activity 186101: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,601 - acbm.assigning - DEBUG - Activity 186101: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,602 - acbm.assigning - DEBUG - Activity 186101: sampling based on floor area\n", - "2024-05-14 18:29:46,603 - acbm.assigning - DEBUG - Activity 186104: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,605 - acbm.assigning - DEBUG - Activity 186104: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,606 - acbm.assigning - DEBUG - Activity 186104: sampling based on floor area\n", - "2024-05-14 18:29:46,607 - acbm.assigning - DEBUG - Activity 186115: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,610 - acbm.assigning - DEBUG - Activity 186115: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,611 - acbm.assigning - DEBUG - Activity 186115: sampling based on floor area\n", - "2024-05-14 18:29:46,612 - acbm.assigning - DEBUG - Activity 186122: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,614 - acbm.assigning - DEBUG - Activity 186122: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,615 - acbm.assigning - DEBUG - Activity 186122: sampling based on floor area\n", - "2024-05-14 18:29:46,616 - acbm.assigning - DEBUG - Activity 186126: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,619 - acbm.assigning - DEBUG - Activity 186126: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,620 - acbm.assigning - DEBUG - Activity 186126: sampling based on floor area\n", - "2024-05-14 18:29:46,621 - acbm.assigning - DEBUG - Activity 186127: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,623 - acbm.assigning - DEBUG - Activity 186127: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,624 - acbm.assigning - DEBUG - Activity 186127: sampling based on floor area\n", - "2024-05-14 18:29:46,626 - acbm.assigning - DEBUG - Activity 186133: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,628 - acbm.assigning - DEBUG - Activity 186133: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,629 - acbm.assigning - DEBUG - Activity 186133: sampling based on floor area\n", - "2024-05-14 18:29:46,630 - acbm.assigning - DEBUG - Activity 186134: Initial number of options for activity = 52\n", - "2024-05-14 18:29:46,633 - acbm.assigning - DEBUG - Activity 186134: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:46,633 - acbm.assigning - DEBUG - Activity 186134: sampling based on floor area\n", - "2024-05-14 18:29:46,635 - acbm.assigning - DEBUG - Activity 186321: Initial number of options for activity = 15\n", - "2024-05-14 18:29:46,637 - acbm.assigning - DEBUG - Activity 186321: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:46,638 - acbm.assigning - DEBUG - Activity 186321: sampling based on floor area\n", - "2024-05-14 18:29:46,639 - acbm.assigning - DEBUG - Activity 186325: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,642 - acbm.assigning - DEBUG - Activity 186325: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,643 - acbm.assigning - DEBUG - Activity 186325: sampling based on floor area\n", - "2024-05-14 18:29:46,644 - acbm.assigning - DEBUG - Activity 186327: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,646 - acbm.assigning - DEBUG - Activity 186327: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,646 - acbm.assigning - DEBUG - Activity 186327: sampling based on floor area\n", - "2024-05-14 18:29:46,647 - acbm.assigning - DEBUG - Activity 186334: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,649 - acbm.assigning - DEBUG - Activity 186334: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,650 - acbm.assigning - DEBUG - Activity 186334: sampling based on floor area\n", - "2024-05-14 18:29:46,651 - acbm.assigning - DEBUG - Activity 186336: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,653 - acbm.assigning - DEBUG - Activity 186336: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,653 - acbm.assigning - DEBUG - Activity 186336: sampling based on floor area\n", - "2024-05-14 18:29:46,655 - acbm.assigning - INFO - Activity 186490: No zones available\n", - "2024-05-14 18:29:46,655 - acbm.assigning - INFO - Activity 186491: No zones available\n", - "2024-05-14 18:29:46,656 - acbm.assigning - INFO - Activity 186492: No zones available\n", - "2024-05-14 18:29:46,656 - acbm.assigning - DEBUG - Activity 186552: Initial number of options for activity = 29\n", - "2024-05-14 18:29:46,658 - acbm.assigning - DEBUG - Activity 186552: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:46,659 - acbm.assigning - DEBUG - Activity 186552: sampling based on floor area\n", - "2024-05-14 18:29:46,660 - acbm.assigning - DEBUG - Activity 186553: Initial number of options for activity = 29\n", - "2024-05-14 18:29:46,662 - acbm.assigning - DEBUG - Activity 186553: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:46,663 - acbm.assigning - DEBUG - Activity 186553: sampling based on floor area\n", - "2024-05-14 18:29:46,665 - acbm.assigning - DEBUG - Activity 186554: Initial number of options for activity = 29\n", - "2024-05-14 18:29:46,667 - acbm.assigning - DEBUG - Activity 186554: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:46,668 - acbm.assigning - DEBUG - Activity 186554: sampling based on floor area\n", - "2024-05-14 18:29:46,670 - acbm.assigning - DEBUG - Activity 186559: Initial number of options for activity = 29\n", - "2024-05-14 18:29:46,672 - acbm.assigning - DEBUG - Activity 186559: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:46,674 - acbm.assigning - DEBUG - Activity 186559: sampling based on floor area\n", - "2024-05-14 18:29:46,675 - acbm.assigning - DEBUG - Activity 186560: Initial number of options for activity = 29\n", - "2024-05-14 18:29:46,677 - acbm.assigning - DEBUG - Activity 186560: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:46,678 - acbm.assigning - DEBUG - Activity 186560: sampling based on floor area\n", - "2024-05-14 18:29:46,680 - acbm.assigning - DEBUG - Activity 186779: Initial number of options for activity = 106\n", - "2024-05-14 18:29:46,682 - acbm.assigning - DEBUG - Activity 186779: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:46,683 - acbm.assigning - DEBUG - Activity 186779: sampling based on floor area\n", - "2024-05-14 18:29:46,684 - acbm.assigning - DEBUG - Activity 186781: Initial number of options for activity = 106\n", - "2024-05-14 18:29:46,686 - acbm.assigning - DEBUG - Activity 186781: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:46,687 - acbm.assigning - DEBUG - Activity 186781: sampling based on floor area\n", - "2024-05-14 18:29:46,688 - acbm.assigning - DEBUG - Activity 186785: Initial number of options for activity = 106\n", - "2024-05-14 18:29:46,689 - acbm.assigning - DEBUG - Activity 186785: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:46,690 - acbm.assigning - DEBUG - Activity 186785: sampling based on floor area\n", - "2024-05-14 18:29:46,691 - acbm.assigning - DEBUG - Activity 186787: Initial number of options for activity = 106\n", - "2024-05-14 18:29:46,693 - acbm.assigning - DEBUG - Activity 186787: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:46,694 - acbm.assigning - DEBUG - Activity 186787: sampling based on floor area\n", - "2024-05-14 18:29:46,694 - acbm.assigning - DEBUG - Activity 186789: Initial number of options for activity = 106\n", - "2024-05-14 18:29:46,696 - acbm.assigning - DEBUG - Activity 186789: Number of options after filtering by education type: 106\n", - "2024-05-14 18:29:46,697 - acbm.assigning - DEBUG - Activity 186789: sampling based on floor area\n", - "2024-05-14 18:29:46,698 - acbm.assigning - DEBUG - Activity 187231: Initial number of options for activity = 98\n", - "2024-05-14 18:29:46,700 - acbm.assigning - DEBUG - Activity 187231: Number of options after filtering by education type: 98\n", - "2024-05-14 18:29:46,701 - acbm.assigning - DEBUG - Activity 187231: sampling based on floor area\n", - "2024-05-14 18:29:46,703 - acbm.assigning - INFO - Activity 187346: No zones available\n", - "2024-05-14 18:29:46,703 - acbm.assigning - INFO - Activity 187347: No zones available\n", - "2024-05-14 18:29:46,704 - acbm.assigning - INFO - Activity 187353: No zones available\n", - "2024-05-14 18:29:46,704 - acbm.assigning - INFO - Activity 187357: No zones available\n", - "2024-05-14 18:29:46,705 - acbm.assigning - DEBUG - Activity 187440: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,706 - acbm.assigning - DEBUG - Activity 187440: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,707 - acbm.assigning - DEBUG - Activity 187440: sampling based on floor area\n", - "2024-05-14 18:29:46,708 - acbm.assigning - DEBUG - Activity 187442: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,710 - acbm.assigning - DEBUG - Activity 187442: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,710 - acbm.assigning - DEBUG - Activity 187442: sampling based on floor area\n", - "2024-05-14 18:29:46,711 - acbm.assigning - DEBUG - Activity 187444: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,713 - acbm.assigning - DEBUG - Activity 187444: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,714 - acbm.assigning - DEBUG - Activity 187444: sampling based on floor area\n", - "2024-05-14 18:29:46,715 - acbm.assigning - DEBUG - Activity 187450: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,717 - acbm.assigning - DEBUG - Activity 187450: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,718 - acbm.assigning - DEBUG - Activity 187450: sampling based on floor area\n", - "2024-05-14 18:29:46,719 - acbm.assigning - DEBUG - Activity 187452: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,721 - acbm.assigning - DEBUG - Activity 187452: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,722 - acbm.assigning - DEBUG - Activity 187452: sampling based on floor area\n", - "2024-05-14 18:29:46,723 - acbm.assigning - DEBUG - Activity 187608: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,724 - acbm.assigning - DEBUG - Activity 187608: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,725 - acbm.assigning - DEBUG - Activity 187608: sampling based on floor area\n", - "2024-05-14 18:29:46,726 - acbm.assigning - DEBUG - Activity 187610: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,727 - acbm.assigning - DEBUG - Activity 187610: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,728 - acbm.assigning - DEBUG - Activity 187610: sampling based on floor area\n", - "2024-05-14 18:29:46,729 - acbm.assigning - DEBUG - Activity 187683: Initial number of options for activity = 5\n", - "2024-05-14 18:29:46,731 - acbm.assigning - DEBUG - Activity 187683: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:46,732 - acbm.assigning - DEBUG - Activity 187683: sampling based on floor area\n", - "2024-05-14 18:29:46,733 - acbm.assigning - DEBUG - Activity 187689: Initial number of options for activity = 9\n", - "2024-05-14 18:29:46,735 - acbm.assigning - DEBUG - Activity 187689: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:46,736 - acbm.assigning - DEBUG - Activity 187689: sampling based on floor area\n", - "2024-05-14 18:29:46,737 - acbm.assigning - DEBUG - Activity 187691: Initial number of options for activity = 9\n", - "2024-05-14 18:29:46,738 - acbm.assigning - DEBUG - Activity 187691: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:46,739 - acbm.assigning - DEBUG - Activity 187691: sampling based on floor area\n", - "2024-05-14 18:29:46,740 - acbm.assigning - INFO - Activity 187744: No zones available\n", - "2024-05-14 18:29:46,740 - acbm.assigning - DEBUG - Activity 187910: Initial number of options for activity = 105\n", - "2024-05-14 18:29:46,742 - acbm.assigning - DEBUG - Activity 187910: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:46,742 - acbm.assigning - DEBUG - Activity 187910: sampling based on floor area\n", - "2024-05-14 18:29:46,743 - acbm.assigning - DEBUG - Activity 187912: Initial number of options for activity = 105\n", - "2024-05-14 18:29:46,745 - acbm.assigning - DEBUG - Activity 187912: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:46,745 - acbm.assigning - DEBUG - Activity 187912: sampling based on floor area\n", - "2024-05-14 18:29:46,746 - acbm.assigning - DEBUG - Activity 187914: Initial number of options for activity = 105\n", - "2024-05-14 18:29:46,748 - acbm.assigning - DEBUG - Activity 187914: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:46,749 - acbm.assigning - DEBUG - Activity 187914: sampling based on floor area\n", - "2024-05-14 18:29:46,750 - acbm.assigning - DEBUG - Activity 187916: Initial number of options for activity = 105\n", - "2024-05-14 18:29:46,752 - acbm.assigning - DEBUG - Activity 187916: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:46,752 - acbm.assigning - DEBUG - Activity 187916: sampling based on floor area\n", - "2024-05-14 18:29:46,753 - acbm.assigning - DEBUG - Activity 188024: Initial number of options for activity = 128\n", - "2024-05-14 18:29:46,755 - acbm.assigning - DEBUG - Activity 188024: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:46,756 - acbm.assigning - DEBUG - Activity 188024: sampling based on floor area\n", - "2024-05-14 18:29:46,757 - acbm.assigning - DEBUG - Activity 188025: Initial number of options for activity = 128\n", - "2024-05-14 18:29:46,758 - acbm.assigning - DEBUG - Activity 188025: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:46,759 - acbm.assigning - DEBUG - Activity 188025: sampling based on floor area\n", - "2024-05-14 18:29:46,759 - acbm.assigning - DEBUG - Activity 188039: Initial number of options for activity = 128\n", - "2024-05-14 18:29:46,761 - acbm.assigning - DEBUG - Activity 188039: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:46,762 - acbm.assigning - DEBUG - Activity 188039: sampling based on floor area\n", - "2024-05-14 18:29:46,763 - acbm.assigning - DEBUG - Activity 188042: Initial number of options for activity = 128\n", - "2024-05-14 18:29:46,765 - acbm.assigning - DEBUG - Activity 188042: Number of options after filtering by education type: 128\n", - "2024-05-14 18:29:46,766 - acbm.assigning - DEBUG - Activity 188042: sampling based on floor area\n", - "2024-05-14 18:29:46,768 - acbm.assigning - DEBUG - Activity 188301: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,769 - acbm.assigning - DEBUG - Activity 188301: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,770 - acbm.assigning - DEBUG - Activity 188301: sampling based on floor area\n", - "2024-05-14 18:29:46,771 - acbm.assigning - DEBUG - Activity 188329: Initial number of options for activity = 31\n", - "2024-05-14 18:29:46,772 - acbm.assigning - DEBUG - Activity 188329: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:46,773 - acbm.assigning - DEBUG - Activity 188329: sampling based on floor area\n", - "2024-05-14 18:29:46,774 - acbm.assigning - DEBUG - Activity 188331: Initial number of options for activity = 31\n", - "2024-05-14 18:29:46,776 - acbm.assigning - DEBUG - Activity 188331: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:46,776 - acbm.assigning - DEBUG - Activity 188331: sampling based on floor area\n", - "2024-05-14 18:29:46,777 - acbm.assigning - DEBUG - Activity 188333: Initial number of options for activity = 31\n", - "2024-05-14 18:29:46,780 - acbm.assigning - DEBUG - Activity 188333: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:46,782 - acbm.assigning - DEBUG - Activity 188333: sampling based on floor area\n", - "2024-05-14 18:29:46,783 - acbm.assigning - DEBUG - Activity 188339: Initial number of options for activity = 31\n", - "2024-05-14 18:29:46,785 - acbm.assigning - DEBUG - Activity 188339: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:46,786 - acbm.assigning - DEBUG - Activity 188339: sampling based on floor area\n", - "2024-05-14 18:29:46,787 - acbm.assigning - DEBUG - Activity 188341: Initial number of options for activity = 31\n", - "2024-05-14 18:29:46,789 - acbm.assigning - DEBUG - Activity 188341: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:46,790 - acbm.assigning - DEBUG - Activity 188341: sampling based on floor area\n", - "2024-05-14 18:29:46,791 - acbm.assigning - INFO - Activity 188408: No zones available\n", - "2024-05-14 18:29:46,791 - acbm.assigning - INFO - Activity 188492: No zones available\n", - "2024-05-14 18:29:46,791 - acbm.assigning - INFO - Activity 188496: No zones available\n", - "2024-05-14 18:29:46,792 - acbm.assigning - DEBUG - Activity 188501: Initial number of options for activity = 41\n", - "2024-05-14 18:29:46,794 - acbm.assigning - DEBUG - Activity 188501: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:46,794 - acbm.assigning - DEBUG - Activity 188501: sampling based on floor area\n", - "2024-05-14 18:29:46,795 - acbm.assigning - DEBUG - Activity 188502: Initial number of options for activity = 41\n", - "2024-05-14 18:29:46,797 - acbm.assigning - DEBUG - Activity 188502: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:46,798 - acbm.assigning - DEBUG - Activity 188502: sampling based on floor area\n", - "2024-05-14 18:29:46,799 - acbm.assigning - DEBUG - Activity 188504: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,800 - acbm.assigning - DEBUG - Activity 188504: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,801 - acbm.assigning - DEBUG - Activity 188504: sampling based on floor area\n", - "2024-05-14 18:29:46,802 - acbm.assigning - DEBUG - Activity 188512: Initial number of options for activity = 41\n", - "2024-05-14 18:29:46,804 - acbm.assigning - DEBUG - Activity 188512: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:46,804 - acbm.assigning - DEBUG - Activity 188512: sampling based on floor area\n", - "2024-05-14 18:29:46,805 - acbm.assigning - DEBUG - Activity 188516: Initial number of options for activity = 41\n", - "2024-05-14 18:29:46,807 - acbm.assigning - DEBUG - Activity 188516: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:46,807 - acbm.assigning - DEBUG - Activity 188516: sampling based on floor area\n", - "2024-05-14 18:29:46,808 - acbm.assigning - DEBUG - Activity 188636: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,809 - acbm.assigning - DEBUG - Activity 188636: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,810 - acbm.assigning - DEBUG - Activity 188636: sampling based on floor area\n", - "2024-05-14 18:29:46,811 - acbm.assigning - DEBUG - Activity 188714: Initial number of options for activity = 44\n", - "2024-05-14 18:29:46,814 - acbm.assigning - DEBUG - Activity 188714: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:46,814 - acbm.assigning - DEBUG - Activity 188714: sampling based on floor area\n", - "2024-05-14 18:29:46,817 - acbm.assigning - DEBUG - Activity 188717: Initial number of options for activity = 134\n", - "2024-05-14 18:29:46,822 - acbm.assigning - DEBUG - Activity 188717: Number of options after filtering by education type: 134\n", - "2024-05-14 18:29:46,824 - acbm.assigning - DEBUG - Activity 188717: sampling based on floor area\n", - "2024-05-14 18:29:46,825 - acbm.assigning - DEBUG - Activity 188718: Initial number of options for activity = 134\n", - "2024-05-14 18:29:46,828 - acbm.assigning - DEBUG - Activity 188718: Number of options after filtering by education type: 134\n", - "2024-05-14 18:29:46,830 - acbm.assigning - DEBUG - Activity 188718: sampling based on floor area\n", - "2024-05-14 18:29:46,832 - acbm.assigning - DEBUG - Activity 188719: Initial number of options for activity = 134\n", - "2024-05-14 18:29:46,835 - acbm.assigning - DEBUG - Activity 188719: Number of options after filtering by education type: 134\n", - "2024-05-14 18:29:46,836 - acbm.assigning - DEBUG - Activity 188719: sampling based on floor area\n", - "2024-05-14 18:29:46,840 - acbm.assigning - DEBUG - Activity 188721: Initial number of options for activity = 44\n", - "2024-05-14 18:29:46,845 - acbm.assigning - DEBUG - Activity 188721: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:46,846 - acbm.assigning - DEBUG - Activity 188721: sampling based on floor area\n", - "2024-05-14 18:29:46,847 - acbm.assigning - INFO - Activity 188941: No zones available\n", - "2024-05-14 18:29:46,849 - acbm.assigning - INFO - Activity 188942: No zones available\n", - "2024-05-14 18:29:46,850 - acbm.assigning - INFO - Activity 188944: No zones available\n", - "2024-05-14 18:29:46,851 - acbm.assigning - INFO - Activity 188945: No zones available\n", - "2024-05-14 18:29:46,852 - acbm.assigning - INFO - Activity 189088: No zones available\n", - "2024-05-14 18:29:46,852 - acbm.assigning - DEBUG - Activity 189148: Initial number of options for activity = 12\n", - "2024-05-14 18:29:46,856 - acbm.assigning - DEBUG - Activity 189148: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:46,857 - acbm.assigning - DEBUG - Activity 189148: sampling based on floor area\n", - "2024-05-14 18:29:46,859 - acbm.assigning - DEBUG - Activity 189152: Initial number of options for activity = 12\n", - "2024-05-14 18:29:46,862 - acbm.assigning - DEBUG - Activity 189152: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:46,863 - acbm.assigning - DEBUG - Activity 189152: sampling based on floor area\n", - "2024-05-14 18:29:46,865 - acbm.assigning - DEBUG - Activity 189154: Initial number of options for activity = 20\n", - "2024-05-14 18:29:46,868 - acbm.assigning - DEBUG - Activity 189154: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:46,869 - acbm.assigning - DEBUG - Activity 189154: sampling based on floor area\n", - "2024-05-14 18:29:46,871 - acbm.assigning - DEBUG - Activity 189158: Initial number of options for activity = 20\n", - "2024-05-14 18:29:46,874 - acbm.assigning - DEBUG - Activity 189158: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:46,875 - acbm.assigning - DEBUG - Activity 189158: sampling based on floor area\n", - "2024-05-14 18:29:46,877 - acbm.assigning - DEBUG - Activity 189160: Initial number of options for activity = 20\n", - "2024-05-14 18:29:46,880 - acbm.assigning - DEBUG - Activity 189160: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:46,881 - acbm.assigning - DEBUG - Activity 189160: sampling based on floor area\n", - "2024-05-14 18:29:46,883 - acbm.assigning - DEBUG - Activity 189386: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,885 - acbm.assigning - DEBUG - Activity 189386: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,887 - acbm.assigning - DEBUG - Activity 189386: sampling based on floor area\n", - "2024-05-14 18:29:46,888 - acbm.assigning - DEBUG - Activity 189666: Initial number of options for activity = 123\n", - "2024-05-14 18:29:46,891 - acbm.assigning - DEBUG - Activity 189666: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:46,892 - acbm.assigning - DEBUG - Activity 189666: sampling based on floor area\n", - "2024-05-14 18:29:46,894 - acbm.assigning - DEBUG - Activity 189668: Initial number of options for activity = 100\n", - "2024-05-14 18:29:46,897 - acbm.assigning - DEBUG - Activity 189668: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:46,898 - acbm.assigning - DEBUG - Activity 189668: sampling based on floor area\n", - "2024-05-14 18:29:46,899 - acbm.assigning - DEBUG - Activity 189670: Initial number of options for activity = 100\n", - "2024-05-14 18:29:46,902 - acbm.assigning - DEBUG - Activity 189670: Number of options after filtering by education type: 100\n", - "2024-05-14 18:29:46,903 - acbm.assigning - DEBUG - Activity 189670: sampling based on floor area\n", - "2024-05-14 18:29:46,906 - acbm.assigning - DEBUG - Activity 189675: Initial number of options for activity = 31\n", - "2024-05-14 18:29:46,909 - acbm.assigning - DEBUG - Activity 189675: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:46,910 - acbm.assigning - DEBUG - Activity 189675: sampling based on floor area\n", - "2024-05-14 18:29:46,912 - acbm.assigning - DEBUG - Activity 189677: Initial number of options for activity = 31\n", - "2024-05-14 18:29:46,915 - acbm.assigning - DEBUG - Activity 189677: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:46,916 - acbm.assigning - DEBUG - Activity 189677: sampling based on floor area\n", - "2024-05-14 18:29:46,917 - acbm.assigning - DEBUG - Activity 189679: Initial number of options for activity = 50\n", - "2024-05-14 18:29:46,920 - acbm.assigning - DEBUG - Activity 189679: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:46,921 - acbm.assigning - DEBUG - Activity 189679: sampling based on floor area\n", - "2024-05-14 18:29:46,923 - acbm.assigning - DEBUG - Activity 189681: Initial number of options for activity = 36\n", - "2024-05-14 18:29:46,926 - acbm.assigning - DEBUG - Activity 189681: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:46,927 - acbm.assigning - DEBUG - Activity 189681: sampling based on floor area\n", - "2024-05-14 18:29:46,929 - acbm.assigning - DEBUG - Activity 189683: Initial number of options for activity = 36\n", - "2024-05-14 18:29:46,931 - acbm.assigning - DEBUG - Activity 189683: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:46,932 - acbm.assigning - DEBUG - Activity 189683: sampling based on floor area\n", - "2024-05-14 18:29:46,934 - acbm.assigning - DEBUG - Activity 189688: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,937 - acbm.assigning - DEBUG - Activity 189688: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,938 - acbm.assigning - DEBUG - Activity 189688: sampling based on floor area\n", - "2024-05-14 18:29:46,939 - acbm.assigning - DEBUG - Activity 189690: Initial number of options for activity = 10\n", - "2024-05-14 18:29:46,941 - acbm.assigning - DEBUG - Activity 189690: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:46,942 - acbm.assigning - DEBUG - Activity 189690: sampling based on floor area\n", - "2024-05-14 18:29:46,943 - acbm.assigning - INFO - Activity 189725: No zones available\n", - "2024-05-14 18:29:46,944 - acbm.assigning - DEBUG - Activity 189831: Initial number of options for activity = 150\n", - "2024-05-14 18:29:46,947 - acbm.assigning - DEBUG - Activity 189831: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:46,949 - acbm.assigning - DEBUG - Activity 189831: sampling based on floor area\n", - "2024-05-14 18:29:46,951 - acbm.assigning - DEBUG - Activity 189832: Initial number of options for activity = 76\n", - "2024-05-14 18:29:46,955 - acbm.assigning - DEBUG - Activity 189832: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:46,956 - acbm.assigning - DEBUG - Activity 189832: sampling based on floor area\n", - "2024-05-14 18:29:46,958 - acbm.assigning - DEBUG - Activity 189835: Initial number of options for activity = 42\n", - "2024-05-14 18:29:46,960 - acbm.assigning - DEBUG - Activity 189835: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:46,962 - acbm.assigning - DEBUG - Activity 189835: sampling based on floor area\n", - "2024-05-14 18:29:46,964 - acbm.assigning - DEBUG - Activity 189836: Initial number of options for activity = 134\n", - "2024-05-14 18:29:46,967 - acbm.assigning - DEBUG - Activity 189836: Number of options after filtering by education type: 134\n", - "2024-05-14 18:29:46,968 - acbm.assigning - DEBUG - Activity 189836: sampling based on floor area\n", - "2024-05-14 18:29:46,969 - acbm.assigning - DEBUG - Activity 189837: Initial number of options for activity = 67\n", - "2024-05-14 18:29:46,972 - acbm.assigning - DEBUG - Activity 189837: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:46,973 - acbm.assigning - DEBUG - Activity 189837: sampling based on floor area\n", - "2024-05-14 18:29:46,974 - acbm.assigning - DEBUG - Activity 190097: Initial number of options for activity = 3\n", - "2024-05-14 18:29:46,976 - acbm.assigning - DEBUG - Activity 190097: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:46,977 - acbm.assigning - DEBUG - Activity 190097: sampling based on floor area\n", - "2024-05-14 18:29:46,978 - acbm.assigning - DEBUG - Activity 190098: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,980 - acbm.assigning - DEBUG - Activity 190098: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,980 - acbm.assigning - DEBUG - Activity 190098: sampling based on floor area\n", - "2024-05-14 18:29:46,982 - acbm.assigning - DEBUG - Activity 190100: Initial number of options for activity = 5\n", - "2024-05-14 18:29:46,984 - acbm.assigning - DEBUG - Activity 190100: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:46,985 - acbm.assigning - DEBUG - Activity 190100: sampling based on floor area\n", - "2024-05-14 18:29:46,986 - acbm.assigning - DEBUG - Activity 190101: Initial number of options for activity = 3\n", - "2024-05-14 18:29:46,989 - acbm.assigning - DEBUG - Activity 190101: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:46,989 - acbm.assigning - DEBUG - Activity 190101: sampling based on floor area\n", - "2024-05-14 18:29:46,991 - acbm.assigning - DEBUG - Activity 190103: Initial number of options for activity = 1\n", - "2024-05-14 18:29:46,993 - acbm.assigning - DEBUG - Activity 190103: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:46,993 - acbm.assigning - DEBUG - Activity 190103: sampling based on floor area\n", - "2024-05-14 18:29:46,995 - acbm.assigning - DEBUG - Activity 190123: Initial number of options for activity = 92\n", - "2024-05-14 18:29:46,997 - acbm.assigning - DEBUG - Activity 190123: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:46,998 - acbm.assigning - DEBUG - Activity 190123: sampling based on floor area\n", - "2024-05-14 18:29:46,999 - acbm.assigning - DEBUG - Activity 190125: Initial number of options for activity = 92\n", - "2024-05-14 18:29:47,002 - acbm.assigning - DEBUG - Activity 190125: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:47,003 - acbm.assigning - DEBUG - Activity 190125: sampling based on floor area\n", - "2024-05-14 18:29:47,004 - acbm.assigning - DEBUG - Activity 190127: Initial number of options for activity = 92\n", - "2024-05-14 18:29:47,006 - acbm.assigning - DEBUG - Activity 190127: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:47,007 - acbm.assigning - DEBUG - Activity 190127: sampling based on floor area\n", - "2024-05-14 18:29:47,008 - acbm.assigning - DEBUG - Activity 190129: Initial number of options for activity = 92\n", - "2024-05-14 18:29:47,010 - acbm.assigning - DEBUG - Activity 190129: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:47,011 - acbm.assigning - DEBUG - Activity 190129: sampling based on floor area\n", - "2024-05-14 18:29:47,012 - acbm.assigning - DEBUG - Activity 190189: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,015 - acbm.assigning - DEBUG - Activity 190189: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,016 - acbm.assigning - DEBUG - Activity 190189: sampling based on floor area\n", - "2024-05-14 18:29:47,017 - acbm.assigning - DEBUG - Activity 190191: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,019 - acbm.assigning - DEBUG - Activity 190191: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,020 - acbm.assigning - DEBUG - Activity 190191: sampling based on floor area\n", - "2024-05-14 18:29:47,021 - acbm.assigning - DEBUG - Activity 190193: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,023 - acbm.assigning - DEBUG - Activity 190193: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,023 - acbm.assigning - DEBUG - Activity 190193: sampling based on floor area\n", - "2024-05-14 18:29:47,025 - acbm.assigning - DEBUG - Activity 190195: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,027 - acbm.assigning - DEBUG - Activity 190195: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,027 - acbm.assigning - DEBUG - Activity 190195: sampling based on floor area\n", - "2024-05-14 18:29:47,028 - acbm.assigning - DEBUG - Activity 190360: Initial number of options for activity = 23\n", - "2024-05-14 18:29:47,031 - acbm.assigning - DEBUG - Activity 190360: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:47,031 - acbm.assigning - DEBUG - Activity 190360: sampling based on floor area\n", - "2024-05-14 18:29:47,032 - acbm.assigning - DEBUG - Activity 190362: Initial number of options for activity = 23\n", - "2024-05-14 18:29:47,035 - acbm.assigning - DEBUG - Activity 190362: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:47,036 - acbm.assigning - DEBUG - Activity 190362: sampling based on floor area\n", - "2024-05-14 18:29:47,037 - acbm.assigning - DEBUG - Activity 190364: Initial number of options for activity = 23\n", - "2024-05-14 18:29:47,039 - acbm.assigning - DEBUG - Activity 190364: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:47,040 - acbm.assigning - DEBUG - Activity 190364: sampling based on floor area\n", - "2024-05-14 18:29:47,041 - acbm.assigning - DEBUG - Activity 190366: Initial number of options for activity = 23\n", - "2024-05-14 18:29:47,043 - acbm.assigning - DEBUG - Activity 190366: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:47,044 - acbm.assigning - DEBUG - Activity 190366: sampling based on floor area\n", - "2024-05-14 18:29:47,046 - acbm.assigning - DEBUG - Activity 190372: Initial number of options for activity = 23\n", - "2024-05-14 18:29:47,049 - acbm.assigning - DEBUG - Activity 190372: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:47,050 - acbm.assigning - DEBUG - Activity 190372: sampling based on floor area\n", - "2024-05-14 18:29:47,051 - acbm.assigning - DEBUG - Activity 190418: Initial number of options for activity = 30\n", - "2024-05-14 18:29:47,053 - acbm.assigning - DEBUG - Activity 190418: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:47,054 - acbm.assigning - DEBUG - Activity 190418: sampling based on floor area\n", - "2024-05-14 18:29:47,055 - acbm.assigning - DEBUG - Activity 190422: Initial number of options for activity = 22\n", - "2024-05-14 18:29:47,057 - acbm.assigning - DEBUG - Activity 190422: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:47,057 - acbm.assigning - DEBUG - Activity 190422: sampling based on floor area\n", - "2024-05-14 18:29:47,058 - acbm.assigning - DEBUG - Activity 190424: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,059 - acbm.assigning - DEBUG - Activity 190424: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,060 - acbm.assigning - DEBUG - Activity 190424: sampling based on floor area\n", - "2024-05-14 18:29:47,061 - acbm.assigning - DEBUG - Activity 190426: Initial number of options for activity = 17\n", - "2024-05-14 18:29:47,062 - acbm.assigning - DEBUG - Activity 190426: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:47,063 - acbm.assigning - DEBUG - Activity 190426: sampling based on floor area\n", - "2024-05-14 18:29:47,064 - acbm.assigning - DEBUG - Activity 190429: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,066 - acbm.assigning - DEBUG - Activity 190429: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,066 - acbm.assigning - DEBUG - Activity 190429: sampling based on floor area\n", - "2024-05-14 18:29:47,067 - acbm.assigning - DEBUG - Activity 190477: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,069 - acbm.assigning - DEBUG - Activity 190477: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,070 - acbm.assigning - DEBUG - Activity 190477: sampling based on floor area\n", - "2024-05-14 18:29:47,071 - acbm.assigning - DEBUG - Activity 190479: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,073 - acbm.assigning - DEBUG - Activity 190479: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,073 - acbm.assigning - DEBUG - Activity 190479: sampling based on floor area\n", - "2024-05-14 18:29:47,074 - acbm.assigning - DEBUG - Activity 190481: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,076 - acbm.assigning - DEBUG - Activity 190481: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,077 - acbm.assigning - DEBUG - Activity 190481: sampling based on floor area\n", - "2024-05-14 18:29:47,078 - acbm.assigning - DEBUG - Activity 190483: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,079 - acbm.assigning - DEBUG - Activity 190483: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,080 - acbm.assigning - DEBUG - Activity 190483: sampling based on floor area\n", - "2024-05-14 18:29:47,081 - acbm.assigning - DEBUG - Activity 190526: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,082 - acbm.assigning - DEBUG - Activity 190526: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,083 - acbm.assigning - DEBUG - Activity 190526: sampling based on floor area\n", - "2024-05-14 18:29:47,084 - acbm.assigning - DEBUG - Activity 190528: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,086 - acbm.assigning - DEBUG - Activity 190528: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,087 - acbm.assigning - DEBUG - Activity 190528: sampling based on floor area\n", - "2024-05-14 18:29:47,088 - acbm.assigning - DEBUG - Activity 190530: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,090 - acbm.assigning - DEBUG - Activity 190530: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,090 - acbm.assigning - DEBUG - Activity 190530: sampling based on floor area\n", - "2024-05-14 18:29:47,091 - acbm.assigning - DEBUG - Activity 190532: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,093 - acbm.assigning - DEBUG - Activity 190532: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,094 - acbm.assigning - DEBUG - Activity 190532: sampling based on floor area\n", - "2024-05-14 18:29:47,095 - acbm.assigning - INFO - Activity 190650: No zones available\n", - "2024-05-14 18:29:47,095 - acbm.assigning - INFO - Activity 190654: No zones available\n", - "2024-05-14 18:29:47,095 - acbm.assigning - INFO - Activity 190656: No zones available\n", - "2024-05-14 18:29:47,096 - acbm.assigning - INFO - Activity 190658: No zones available\n", - "2024-05-14 18:29:47,096 - acbm.assigning - DEBUG - Activity 190717: Initial number of options for activity = 97\n", - "2024-05-14 18:29:47,098 - acbm.assigning - DEBUG - Activity 190717: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:47,099 - acbm.assigning - DEBUG - Activity 190717: sampling based on floor area\n", - "2024-05-14 18:29:47,100 - acbm.assigning - DEBUG - Activity 190719: Initial number of options for activity = 97\n", - "2024-05-14 18:29:47,102 - acbm.assigning - DEBUG - Activity 190719: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:47,102 - acbm.assigning - DEBUG - Activity 190719: sampling based on floor area\n", - "2024-05-14 18:29:47,103 - acbm.assigning - DEBUG - Activity 190723: Initial number of options for activity = 97\n", - "2024-05-14 18:29:47,105 - acbm.assigning - DEBUG - Activity 190723: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:47,105 - acbm.assigning - DEBUG - Activity 190723: sampling based on floor area\n", - "2024-05-14 18:29:47,106 - acbm.assigning - DEBUG - Activity 190725: Initial number of options for activity = 97\n", - "2024-05-14 18:29:47,108 - acbm.assigning - DEBUG - Activity 190725: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:47,109 - acbm.assigning - DEBUG - Activity 190725: sampling based on floor area\n", - "2024-05-14 18:29:47,110 - acbm.assigning - DEBUG - Activity 190727: Initial number of options for activity = 97\n", - "2024-05-14 18:29:47,111 - acbm.assigning - DEBUG - Activity 190727: Number of options after filtering by education type: 97\n", - "2024-05-14 18:29:47,112 - acbm.assigning - DEBUG - Activity 190727: sampling based on floor area\n", - "2024-05-14 18:29:47,113 - acbm.assigning - DEBUG - Activity 190812: Initial number of options for activity = 115\n", - "2024-05-14 18:29:47,115 - acbm.assigning - DEBUG - Activity 190812: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:47,116 - acbm.assigning - DEBUG - Activity 190812: sampling based on floor area\n", - "2024-05-14 18:29:47,117 - acbm.assigning - DEBUG - Activity 190813: Initial number of options for activity = 115\n", - "2024-05-14 18:29:47,119 - acbm.assigning - DEBUG - Activity 190813: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:47,119 - acbm.assigning - DEBUG - Activity 190813: sampling based on floor area\n", - "2024-05-14 18:29:47,120 - acbm.assigning - DEBUG - Activity 190814: Initial number of options for activity = 115\n", - "2024-05-14 18:29:47,122 - acbm.assigning - DEBUG - Activity 190814: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:47,123 - acbm.assigning - DEBUG - Activity 190814: sampling based on floor area\n", - "2024-05-14 18:29:47,123 - acbm.assigning - DEBUG - Activity 190818: Initial number of options for activity = 115\n", - "2024-05-14 18:29:47,125 - acbm.assigning - DEBUG - Activity 190818: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:47,125 - acbm.assigning - DEBUG - Activity 190818: sampling based on floor area\n", - "2024-05-14 18:29:47,126 - acbm.assigning - DEBUG - Activity 190820: Initial number of options for activity = 115\n", - "2024-05-14 18:29:47,128 - acbm.assigning - DEBUG - Activity 190820: Number of options after filtering by education type: 115\n", - "2024-05-14 18:29:47,129 - acbm.assigning - DEBUG - Activity 190820: sampling based on floor area\n", - "2024-05-14 18:29:47,129 - acbm.assigning - INFO - Activity 190822: No zones available\n", - "2024-05-14 18:29:47,130 - acbm.assigning - DEBUG - Activity 190833: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,132 - acbm.assigning - DEBUG - Activity 190833: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,132 - acbm.assigning - DEBUG - Activity 190833: sampling based on floor area\n", - "2024-05-14 18:29:47,133 - acbm.assigning - DEBUG - Activity 190882: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,135 - acbm.assigning - DEBUG - Activity 190882: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,136 - acbm.assigning - DEBUG - Activity 190882: sampling based on floor area\n", - "2024-05-14 18:29:47,137 - acbm.assigning - DEBUG - Activity 190884: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,138 - acbm.assigning - DEBUG - Activity 190884: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,139 - acbm.assigning - DEBUG - Activity 190884: sampling based on floor area\n", - "2024-05-14 18:29:47,140 - acbm.assigning - DEBUG - Activity 190886: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,142 - acbm.assigning - DEBUG - Activity 190886: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,143 - acbm.assigning - DEBUG - Activity 190886: sampling based on floor area\n", - "2024-05-14 18:29:47,145 - acbm.assigning - DEBUG - Activity 190888: Initial number of options for activity = 104\n", - "2024-05-14 18:29:47,146 - acbm.assigning - DEBUG - Activity 190888: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:47,147 - acbm.assigning - DEBUG - Activity 190888: sampling based on floor area\n", - "2024-05-14 18:29:47,149 - acbm.assigning - DEBUG - Activity 190931: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,151 - acbm.assigning - DEBUG - Activity 190931: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,152 - acbm.assigning - DEBUG - Activity 190931: sampling based on floor area\n", - "2024-05-14 18:29:47,153 - acbm.assigning - DEBUG - Activity 190933: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,155 - acbm.assigning - DEBUG - Activity 190933: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,156 - acbm.assigning - DEBUG - Activity 190933: sampling based on floor area\n", - "2024-05-14 18:29:47,157 - acbm.assigning - DEBUG - Activity 190935: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,159 - acbm.assigning - DEBUG - Activity 190935: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,159 - acbm.assigning - DEBUG - Activity 190935: sampling based on floor area\n", - "2024-05-14 18:29:47,160 - acbm.assigning - DEBUG - Activity 190937: Initial number of options for activity = 43\n", - "2024-05-14 18:29:47,162 - acbm.assigning - DEBUG - Activity 190937: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:47,163 - acbm.assigning - DEBUG - Activity 190937: sampling based on floor area\n", - "2024-05-14 18:29:47,164 - acbm.assigning - DEBUG - Activity 190946: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,166 - acbm.assigning - DEBUG - Activity 190946: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,167 - acbm.assigning - DEBUG - Activity 190946: sampling based on floor area\n", - "2024-05-14 18:29:47,169 - acbm.assigning - DEBUG - Activity 190947: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,171 - acbm.assigning - DEBUG - Activity 190947: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,172 - acbm.assigning - DEBUG - Activity 190947: sampling based on floor area\n", - "2024-05-14 18:29:47,173 - acbm.assigning - DEBUG - Activity 190948: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,175 - acbm.assigning - DEBUG - Activity 190948: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,175 - acbm.assigning - DEBUG - Activity 190948: sampling based on floor area\n", - "2024-05-14 18:29:47,176 - acbm.assigning - DEBUG - Activity 190950: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,178 - acbm.assigning - DEBUG - Activity 190950: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,178 - acbm.assigning - DEBUG - Activity 190950: sampling based on floor area\n", - "2024-05-14 18:29:47,179 - acbm.assigning - DEBUG - Activity 190952: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,180 - acbm.assigning - DEBUG - Activity 190952: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,181 - acbm.assigning - DEBUG - Activity 190952: sampling based on floor area\n", - "2024-05-14 18:29:47,182 - acbm.assigning - DEBUG - Activity 191150: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,183 - acbm.assigning - DEBUG - Activity 191150: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,184 - acbm.assigning - DEBUG - Activity 191150: sampling based on floor area\n", - "2024-05-14 18:29:47,185 - acbm.assigning - DEBUG - Activity 191152: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,187 - acbm.assigning - DEBUG - Activity 191152: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,188 - acbm.assigning - DEBUG - Activity 191152: sampling based on floor area\n", - "2024-05-14 18:29:47,189 - acbm.assigning - DEBUG - Activity 191155: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,190 - acbm.assigning - DEBUG - Activity 191155: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,191 - acbm.assigning - DEBUG - Activity 191155: sampling based on floor area\n", - "2024-05-14 18:29:47,191 - acbm.assigning - DEBUG - Activity 191159: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,193 - acbm.assigning - DEBUG - Activity 191159: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,193 - acbm.assigning - DEBUG - Activity 191159: sampling based on floor area\n", - "2024-05-14 18:29:47,194 - acbm.assigning - DEBUG - Activity 191203: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,196 - acbm.assigning - DEBUG - Activity 191203: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,196 - acbm.assigning - DEBUG - Activity 191203: sampling based on floor area\n", - "2024-05-14 18:29:47,197 - acbm.assigning - DEBUG - Activity 191205: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,199 - acbm.assigning - DEBUG - Activity 191205: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,200 - acbm.assigning - DEBUG - Activity 191205: sampling based on floor area\n", - "2024-05-14 18:29:47,201 - acbm.assigning - DEBUG - Activity 191209: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,203 - acbm.assigning - DEBUG - Activity 191209: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,204 - acbm.assigning - DEBUG - Activity 191209: sampling based on floor area\n", - "2024-05-14 18:29:47,205 - acbm.assigning - DEBUG - Activity 191211: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,206 - acbm.assigning - DEBUG - Activity 191211: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,207 - acbm.assigning - DEBUG - Activity 191211: sampling based on floor area\n", - "2024-05-14 18:29:47,208 - acbm.assigning - DEBUG - Activity 191213: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,209 - acbm.assigning - DEBUG - Activity 191213: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,210 - acbm.assigning - DEBUG - Activity 191213: sampling based on floor area\n", - "2024-05-14 18:29:47,210 - acbm.assigning - INFO - Activity 191277: No zones available\n", - "2024-05-14 18:29:47,211 - acbm.assigning - INFO - Activity 191287: No zones available\n", - "2024-05-14 18:29:47,211 - acbm.assigning - DEBUG - Activity 191382: Initial number of options for activity = 4\n", - "2024-05-14 18:29:47,213 - acbm.assigning - DEBUG - Activity 191382: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:47,213 - acbm.assigning - DEBUG - Activity 191382: sampling based on floor area\n", - "2024-05-14 18:29:47,214 - acbm.assigning - DEBUG - Activity 191384: Initial number of options for activity = 4\n", - "2024-05-14 18:29:47,216 - acbm.assigning - DEBUG - Activity 191384: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:47,217 - acbm.assigning - DEBUG - Activity 191384: sampling based on floor area\n", - "2024-05-14 18:29:47,218 - acbm.assigning - DEBUG - Activity 191388: Initial number of options for activity = 4\n", - "2024-05-14 18:29:47,220 - acbm.assigning - DEBUG - Activity 191388: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:47,221 - acbm.assigning - DEBUG - Activity 191388: sampling based on floor area\n", - "2024-05-14 18:29:47,222 - acbm.assigning - DEBUG - Activity 191390: Initial number of options for activity = 4\n", - "2024-05-14 18:29:47,224 - acbm.assigning - DEBUG - Activity 191390: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:47,249 - acbm.assigning - DEBUG - Activity 191390: sampling based on floor area\n", - "2024-05-14 18:29:47,254 - acbm.assigning - DEBUG - Activity 191420: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,257 - acbm.assigning - DEBUG - Activity 191420: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,258 - acbm.assigning - DEBUG - Activity 191420: sampling based on floor area\n", - "2024-05-14 18:29:47,260 - acbm.assigning - DEBUG - Activity 191422: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,263 - acbm.assigning - DEBUG - Activity 191422: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,264 - acbm.assigning - DEBUG - Activity 191422: sampling based on floor area\n", - "2024-05-14 18:29:47,266 - acbm.assigning - DEBUG - Activity 191424: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,268 - acbm.assigning - DEBUG - Activity 191424: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,269 - acbm.assigning - DEBUG - Activity 191424: sampling based on floor area\n", - "2024-05-14 18:29:47,271 - acbm.assigning - DEBUG - Activity 191426: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,274 - acbm.assigning - DEBUG - Activity 191426: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,275 - acbm.assigning - DEBUG - Activity 191426: sampling based on floor area\n", - "2024-05-14 18:29:47,277 - acbm.assigning - INFO - Activity 191541: No zones available\n", - "2024-05-14 18:29:47,278 - acbm.assigning - DEBUG - Activity 191638: Initial number of options for activity = 66\n", - "2024-05-14 18:29:47,281 - acbm.assigning - DEBUG - Activity 191638: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:47,282 - acbm.assigning - DEBUG - Activity 191638: sampling based on floor area\n", - "2024-05-14 18:29:47,284 - acbm.assigning - DEBUG - Activity 191641: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,288 - acbm.assigning - DEBUG - Activity 191641: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,289 - acbm.assigning - DEBUG - Activity 191641: sampling based on floor area\n", - "2024-05-14 18:29:47,291 - acbm.assigning - DEBUG - Activity 191644: Initial number of options for activity = 44\n", - "2024-05-14 18:29:47,294 - acbm.assigning - DEBUG - Activity 191644: Number of options after filtering by education type: 44\n", - "2024-05-14 18:29:47,296 - acbm.assigning - DEBUG - Activity 191644: sampling based on floor area\n", - "2024-05-14 18:29:47,297 - acbm.assigning - DEBUG - Activity 191743: Initial number of options for activity = 161\n", - "2024-05-14 18:29:47,302 - acbm.assigning - DEBUG - Activity 191743: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:47,303 - acbm.assigning - DEBUG - Activity 191743: sampling based on floor area\n", - "2024-05-14 18:29:47,305 - acbm.assigning - DEBUG - Activity 191746: Initial number of options for activity = 161\n", - "2024-05-14 18:29:47,308 - acbm.assigning - DEBUG - Activity 191746: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:47,309 - acbm.assigning - DEBUG - Activity 191746: sampling based on floor area\n", - "2024-05-14 18:29:47,311 - acbm.assigning - DEBUG - Activity 191749: Initial number of options for activity = 161\n", - "2024-05-14 18:29:47,314 - acbm.assigning - DEBUG - Activity 191749: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:47,316 - acbm.assigning - DEBUG - Activity 191749: sampling based on floor area\n", - "2024-05-14 18:29:47,319 - acbm.assigning - DEBUG - Activity 191752: Initial number of options for activity = 161\n", - "2024-05-14 18:29:47,331 - acbm.assigning - DEBUG - Activity 191752: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:47,333 - acbm.assigning - DEBUG - Activity 191752: sampling based on floor area\n", - "2024-05-14 18:29:47,335 - acbm.assigning - DEBUG - Activity 191757: Initial number of options for activity = 161\n", - "2024-05-14 18:29:47,337 - acbm.assigning - DEBUG - Activity 191757: Number of options after filtering by education type: 161\n", - "2024-05-14 18:29:47,338 - acbm.assigning - DEBUG - Activity 191757: sampling based on floor area\n", - "2024-05-14 18:29:47,339 - acbm.assigning - DEBUG - Activity 191789: Initial number of options for activity = 65\n", - "2024-05-14 18:29:47,341 - acbm.assigning - DEBUG - Activity 191789: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:47,342 - acbm.assigning - DEBUG - Activity 191789: sampling based on floor area\n", - "2024-05-14 18:29:47,343 - acbm.assigning - DEBUG - Activity 191792: Initial number of options for activity = 65\n", - "2024-05-14 18:29:47,346 - acbm.assigning - DEBUG - Activity 191792: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:47,346 - acbm.assigning - DEBUG - Activity 191792: sampling based on floor area\n", - "2024-05-14 18:29:47,348 - acbm.assigning - DEBUG - Activity 191795: Initial number of options for activity = 65\n", - "2024-05-14 18:29:47,350 - acbm.assigning - DEBUG - Activity 191795: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:47,351 - acbm.assigning - DEBUG - Activity 191795: sampling based on floor area\n", - "2024-05-14 18:29:47,353 - acbm.assigning - DEBUG - Activity 191798: Initial number of options for activity = 65\n", - "2024-05-14 18:29:47,355 - acbm.assigning - DEBUG - Activity 191798: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:47,356 - acbm.assigning - DEBUG - Activity 191798: sampling based on floor area\n", - "2024-05-14 18:29:47,357 - acbm.assigning - DEBUG - Activity 191801: Initial number of options for activity = 65\n", - "2024-05-14 18:29:47,360 - acbm.assigning - DEBUG - Activity 191801: Number of options after filtering by education type: 65\n", - "2024-05-14 18:29:47,360 - acbm.assigning - DEBUG - Activity 191801: sampling based on floor area\n", - "2024-05-14 18:29:47,362 - acbm.assigning - DEBUG - Activity 191804: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,363 - acbm.assigning - DEBUG - Activity 191804: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,364 - acbm.assigning - DEBUG - Activity 191804: sampling based on floor area\n", - "2024-05-14 18:29:47,365 - acbm.assigning - DEBUG - Activity 191806: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,366 - acbm.assigning - DEBUG - Activity 191806: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,367 - acbm.assigning - DEBUG - Activity 191806: sampling based on floor area\n", - "2024-05-14 18:29:47,368 - acbm.assigning - DEBUG - Activity 191808: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,370 - acbm.assigning - DEBUG - Activity 191808: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,371 - acbm.assigning - DEBUG - Activity 191808: sampling based on floor area\n", - "2024-05-14 18:29:47,372 - acbm.assigning - DEBUG - Activity 191810: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,374 - acbm.assigning - DEBUG - Activity 191810: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,375 - acbm.assigning - DEBUG - Activity 191810: sampling based on floor area\n", - "2024-05-14 18:29:47,376 - acbm.assigning - DEBUG - Activity 191818: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,378 - acbm.assigning - DEBUG - Activity 191818: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,379 - acbm.assigning - DEBUG - Activity 191818: sampling based on floor area\n", - "2024-05-14 18:29:47,380 - acbm.assigning - DEBUG - Activity 191905: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,382 - acbm.assigning - DEBUG - Activity 191905: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,382 - acbm.assigning - DEBUG - Activity 191905: sampling based on floor area\n", - "2024-05-14 18:29:47,384 - acbm.assigning - DEBUG - Activity 191906: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,386 - acbm.assigning - DEBUG - Activity 191906: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,387 - acbm.assigning - DEBUG - Activity 191906: sampling based on floor area\n", - "2024-05-14 18:29:47,388 - acbm.assigning - INFO - KeyError: Key 191907 in possible_zones has no values\n", - "2024-05-14 18:29:47,389 - acbm.assigning - INFO - Activity 191956: No zones available\n", - "2024-05-14 18:29:47,389 - acbm.assigning - DEBUG - Activity 191987: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,392 - acbm.assigning - DEBUG - Activity 191987: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,392 - acbm.assigning - DEBUG - Activity 191987: sampling based on floor area\n", - "2024-05-14 18:29:47,394 - acbm.assigning - DEBUG - Activity 191990: Initial number of options for activity = 7\n", - "2024-05-14 18:29:47,396 - acbm.assigning - DEBUG - Activity 191990: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:47,397 - acbm.assigning - DEBUG - Activity 191990: sampling based on floor area\n", - "2024-05-14 18:29:47,398 - acbm.assigning - DEBUG - Activity 191995: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,401 - acbm.assigning - DEBUG - Activity 191995: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,402 - acbm.assigning - DEBUG - Activity 191995: sampling based on floor area\n", - "2024-05-14 18:29:47,404 - acbm.assigning - DEBUG - Activity 191996: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,406 - acbm.assigning - DEBUG - Activity 191996: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,407 - acbm.assigning - DEBUG - Activity 191996: sampling based on floor area\n", - "2024-05-14 18:29:47,408 - acbm.assigning - DEBUG - Activity 191998: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,411 - acbm.assigning - DEBUG - Activity 191998: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,412 - acbm.assigning - DEBUG - Activity 191998: sampling based on floor area\n", - "2024-05-14 18:29:47,415 - acbm.assigning - DEBUG - Activity 192001: Initial number of options for activity = 2\n", - "2024-05-14 18:29:47,419 - acbm.assigning - DEBUG - Activity 192001: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:47,420 - acbm.assigning - DEBUG - Activity 192001: sampling based on floor area\n", - "2024-05-14 18:29:47,422 - acbm.assigning - DEBUG - Activity 192003: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,426 - acbm.assigning - DEBUG - Activity 192003: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,427 - acbm.assigning - DEBUG - Activity 192003: sampling based on floor area\n", - "2024-05-14 18:29:47,429 - acbm.assigning - DEBUG - Activity 192004: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,431 - acbm.assigning - DEBUG - Activity 192004: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,432 - acbm.assigning - DEBUG - Activity 192004: sampling based on floor area\n", - "2024-05-14 18:29:47,434 - acbm.assigning - DEBUG - Activity 192007: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,437 - acbm.assigning - DEBUG - Activity 192007: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,438 - acbm.assigning - DEBUG - Activity 192007: sampling based on floor area\n", - "2024-05-14 18:29:47,440 - acbm.assigning - DEBUG - Activity 192121: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,442 - acbm.assigning - DEBUG - Activity 192121: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,443 - acbm.assigning - DEBUG - Activity 192121: sampling based on floor area\n", - "2024-05-14 18:29:47,444 - acbm.assigning - DEBUG - Activity 192125: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,446 - acbm.assigning - DEBUG - Activity 192125: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,446 - acbm.assigning - DEBUG - Activity 192125: sampling based on floor area\n", - "2024-05-14 18:29:47,447 - acbm.assigning - DEBUG - Activity 192154: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,449 - acbm.assigning - DEBUG - Activity 192154: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,450 - acbm.assigning - DEBUG - Activity 192154: sampling based on floor area\n", - "2024-05-14 18:29:47,451 - acbm.assigning - DEBUG - Activity 192164: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,452 - acbm.assigning - DEBUG - Activity 192164: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,453 - acbm.assigning - DEBUG - Activity 192164: sampling based on floor area\n", - "2024-05-14 18:29:47,454 - acbm.assigning - DEBUG - Activity 192166: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,456 - acbm.assigning - DEBUG - Activity 192166: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,456 - acbm.assigning - DEBUG - Activity 192166: sampling based on floor area\n", - "2024-05-14 18:29:47,457 - acbm.assigning - DEBUG - Activity 192170: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,459 - acbm.assigning - DEBUG - Activity 192170: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,459 - acbm.assigning - DEBUG - Activity 192170: sampling based on floor area\n", - "2024-05-14 18:29:47,460 - acbm.assigning - DEBUG - Activity 192172: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,462 - acbm.assigning - DEBUG - Activity 192172: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,462 - acbm.assigning - DEBUG - Activity 192172: sampling based on floor area\n", - "2024-05-14 18:29:47,463 - acbm.assigning - DEBUG - Activity 192299: Initial number of options for activity = 35\n", - "2024-05-14 18:29:47,465 - acbm.assigning - DEBUG - Activity 192299: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:47,466 - acbm.assigning - DEBUG - Activity 192299: sampling based on floor area\n", - "2024-05-14 18:29:47,467 - acbm.assigning - DEBUG - Activity 192301: Initial number of options for activity = 35\n", - "2024-05-14 18:29:47,469 - acbm.assigning - DEBUG - Activity 192301: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:47,469 - acbm.assigning - DEBUG - Activity 192301: sampling based on floor area\n", - "2024-05-14 18:29:47,470 - acbm.assigning - DEBUG - Activity 192303: Initial number of options for activity = 35\n", - "2024-05-14 18:29:47,472 - acbm.assigning - DEBUG - Activity 192303: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:47,472 - acbm.assigning - DEBUG - Activity 192303: sampling based on floor area\n", - "2024-05-14 18:29:47,473 - acbm.assigning - DEBUG - Activity 192305: Initial number of options for activity = 35\n", - "2024-05-14 18:29:47,475 - acbm.assigning - DEBUG - Activity 192305: Number of options after filtering by education type: 35\n", - "2024-05-14 18:29:47,475 - acbm.assigning - DEBUG - Activity 192305: sampling based on floor area\n", - "2024-05-14 18:29:47,476 - acbm.assigning - DEBUG - Activity 192433: Initial number of options for activity = 129\n", - "2024-05-14 18:29:47,478 - acbm.assigning - DEBUG - Activity 192433: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:47,479 - acbm.assigning - DEBUG - Activity 192433: sampling based on floor area\n", - "2024-05-14 18:29:47,480 - acbm.assigning - DEBUG - Activity 192435: Initial number of options for activity = 129\n", - "2024-05-14 18:29:47,482 - acbm.assigning - DEBUG - Activity 192435: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:47,482 - acbm.assigning - DEBUG - Activity 192435: sampling based on floor area\n", - "2024-05-14 18:29:47,484 - acbm.assigning - DEBUG - Activity 192439: Initial number of options for activity = 129\n", - "2024-05-14 18:29:47,486 - acbm.assigning - DEBUG - Activity 192439: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:47,487 - acbm.assigning - DEBUG - Activity 192439: sampling based on floor area\n", - "2024-05-14 18:29:47,488 - acbm.assigning - DEBUG - Activity 192441: Initial number of options for activity = 129\n", - "2024-05-14 18:29:47,490 - acbm.assigning - DEBUG - Activity 192441: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:47,490 - acbm.assigning - DEBUG - Activity 192441: sampling based on floor area\n", - "2024-05-14 18:29:47,491 - acbm.assigning - DEBUG - Activity 192443: Initial number of options for activity = 129\n", - "2024-05-14 18:29:47,493 - acbm.assigning - DEBUG - Activity 192443: Number of options after filtering by education type: 129\n", - "2024-05-14 18:29:47,494 - acbm.assigning - DEBUG - Activity 192443: sampling based on floor area\n", - "2024-05-14 18:29:47,495 - acbm.assigning - DEBUG - Activity 192655: Initial number of options for activity = 133\n", - "2024-05-14 18:29:47,497 - acbm.assigning - DEBUG - Activity 192655: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:47,497 - acbm.assigning - DEBUG - Activity 192655: sampling based on floor area\n", - "2024-05-14 18:29:47,498 - acbm.assigning - DEBUG - Activity 192657: Initial number of options for activity = 133\n", - "2024-05-14 18:29:47,500 - acbm.assigning - DEBUG - Activity 192657: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:47,501 - acbm.assigning - DEBUG - Activity 192657: sampling based on floor area\n", - "2024-05-14 18:29:47,502 - acbm.assigning - DEBUG - Activity 192659: Initial number of options for activity = 133\n", - "2024-05-14 18:29:47,504 - acbm.assigning - DEBUG - Activity 192659: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:47,505 - acbm.assigning - DEBUG - Activity 192659: sampling based on floor area\n", - "2024-05-14 18:29:47,506 - acbm.assigning - DEBUG - Activity 192661: Initial number of options for activity = 133\n", - "2024-05-14 18:29:47,508 - acbm.assigning - DEBUG - Activity 192661: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:47,508 - acbm.assigning - DEBUG - Activity 192661: sampling based on floor area\n", - "2024-05-14 18:29:47,509 - acbm.assigning - DEBUG - Activity 192718: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,511 - acbm.assigning - DEBUG - Activity 192718: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,512 - acbm.assigning - DEBUG - Activity 192718: sampling based on floor area\n", - "2024-05-14 18:29:47,513 - acbm.assigning - DEBUG - Activity 192720: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,514 - acbm.assigning - DEBUG - Activity 192720: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,515 - acbm.assigning - DEBUG - Activity 192720: sampling based on floor area\n", - "2024-05-14 18:29:47,516 - acbm.assigning - DEBUG - Activity 192724: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,518 - acbm.assigning - DEBUG - Activity 192724: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,519 - acbm.assigning - DEBUG - Activity 192724: sampling based on floor area\n", - "2024-05-14 18:29:47,520 - acbm.assigning - DEBUG - Activity 192726: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,522 - acbm.assigning - DEBUG - Activity 192726: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,522 - acbm.assigning - DEBUG - Activity 192726: sampling based on floor area\n", - "2024-05-14 18:29:47,524 - acbm.assigning - DEBUG - Activity 192728: Initial number of options for activity = 107\n", - "2024-05-14 18:29:47,526 - acbm.assigning - DEBUG - Activity 192728: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:47,527 - acbm.assigning - DEBUG - Activity 192728: sampling based on floor area\n", - "2024-05-14 18:29:47,529 - acbm.assigning - DEBUG - Activity 192778: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,531 - acbm.assigning - DEBUG - Activity 192778: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,532 - acbm.assigning - DEBUG - Activity 192778: sampling based on floor area\n", - "2024-05-14 18:29:47,533 - acbm.assigning - DEBUG - Activity 192780: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,535 - acbm.assigning - DEBUG - Activity 192780: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,536 - acbm.assigning - DEBUG - Activity 192780: sampling based on floor area\n", - "2024-05-14 18:29:47,538 - acbm.assigning - DEBUG - Activity 192783: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,539 - acbm.assigning - DEBUG - Activity 192783: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,540 - acbm.assigning - DEBUG - Activity 192783: sampling based on floor area\n", - "2024-05-14 18:29:47,542 - acbm.assigning - DEBUG - Activity 192785: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,544 - acbm.assigning - DEBUG - Activity 192785: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,545 - acbm.assigning - DEBUG - Activity 192785: sampling based on floor area\n", - "2024-05-14 18:29:47,546 - acbm.assigning - DEBUG - Activity 192789: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,548 - acbm.assigning - DEBUG - Activity 192789: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,549 - acbm.assigning - DEBUG - Activity 192789: sampling based on floor area\n", - "2024-05-14 18:29:47,550 - acbm.assigning - DEBUG - Activity 192823: Initial number of options for activity = 52\n", - "2024-05-14 18:29:47,553 - acbm.assigning - DEBUG - Activity 192823: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:47,554 - acbm.assigning - DEBUG - Activity 192823: sampling based on floor area\n", - "2024-05-14 18:29:47,555 - acbm.assigning - DEBUG - Activity 192825: Initial number of options for activity = 52\n", - "2024-05-14 18:29:47,557 - acbm.assigning - DEBUG - Activity 192825: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:47,558 - acbm.assigning - DEBUG - Activity 192825: sampling based on floor area\n", - "2024-05-14 18:29:47,559 - acbm.assigning - DEBUG - Activity 192829: Initial number of options for activity = 52\n", - "2024-05-14 18:29:47,562 - acbm.assigning - DEBUG - Activity 192829: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:47,563 - acbm.assigning - DEBUG - Activity 192829: sampling based on floor area\n", - "2024-05-14 18:29:47,564 - acbm.assigning - DEBUG - Activity 192831: Initial number of options for activity = 52\n", - "2024-05-14 18:29:47,566 - acbm.assigning - DEBUG - Activity 192831: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:47,567 - acbm.assigning - DEBUG - Activity 192831: sampling based on floor area\n", - "2024-05-14 18:29:47,569 - acbm.assigning - DEBUG - Activity 192833: Initial number of options for activity = 52\n", - "2024-05-14 18:29:47,571 - acbm.assigning - DEBUG - Activity 192833: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:47,572 - acbm.assigning - DEBUG - Activity 192833: sampling based on floor area\n", - "2024-05-14 18:29:47,573 - acbm.assigning - DEBUG - Activity 192944: Initial number of options for activity = 50\n", - "2024-05-14 18:29:47,575 - acbm.assigning - DEBUG - Activity 192944: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:47,576 - acbm.assigning - DEBUG - Activity 192944: sampling based on floor area\n", - "2024-05-14 18:29:47,577 - acbm.assigning - DEBUG - Activity 192946: Initial number of options for activity = 50\n", - "2024-05-14 18:29:47,580 - acbm.assigning - DEBUG - Activity 192946: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:47,580 - acbm.assigning - DEBUG - Activity 192946: sampling based on floor area\n", - "2024-05-14 18:29:47,582 - acbm.assigning - DEBUG - Activity 192950: Initial number of options for activity = 50\n", - "2024-05-14 18:29:47,584 - acbm.assigning - DEBUG - Activity 192950: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:47,585 - acbm.assigning - DEBUG - Activity 192950: sampling based on floor area\n", - "2024-05-14 18:29:47,586 - acbm.assigning - DEBUG - Activity 192952: Initial number of options for activity = 50\n", - "2024-05-14 18:29:47,588 - acbm.assigning - DEBUG - Activity 192952: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:47,589 - acbm.assigning - DEBUG - Activity 192952: sampling based on floor area\n", - "2024-05-14 18:29:47,590 - acbm.assigning - DEBUG - Activity 192954: Initial number of options for activity = 50\n", - "2024-05-14 18:29:47,592 - acbm.assigning - DEBUG - Activity 192954: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:47,593 - acbm.assigning - DEBUG - Activity 192954: sampling based on floor area\n", - "2024-05-14 18:29:47,594 - acbm.assigning - DEBUG - Activity 193118: Initial number of options for activity = 12\n", - "2024-05-14 18:29:47,596 - acbm.assigning - DEBUG - Activity 193118: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:47,597 - acbm.assigning - DEBUG - Activity 193118: sampling based on floor area\n", - "2024-05-14 18:29:47,598 - acbm.assigning - DEBUG - Activity 193120: Initial number of options for activity = 12\n", - "2024-05-14 18:29:47,600 - acbm.assigning - DEBUG - Activity 193120: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:47,600 - acbm.assigning - DEBUG - Activity 193120: sampling based on floor area\n", - "2024-05-14 18:29:47,602 - acbm.assigning - DEBUG - Activity 193122: Initial number of options for activity = 12\n", - "2024-05-14 18:29:47,604 - acbm.assigning - DEBUG - Activity 193122: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:47,605 - acbm.assigning - DEBUG - Activity 193122: sampling based on floor area\n", - "2024-05-14 18:29:47,606 - acbm.assigning - DEBUG - Activity 193124: Initial number of options for activity = 41\n", - "2024-05-14 18:29:47,609 - acbm.assigning - DEBUG - Activity 193124: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:47,610 - acbm.assigning - DEBUG - Activity 193124: sampling based on floor area\n", - "2024-05-14 18:29:47,611 - acbm.assigning - DEBUG - Activity 193128: Initial number of options for activity = 12\n", - "2024-05-14 18:29:47,613 - acbm.assigning - DEBUG - Activity 193128: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:47,614 - acbm.assigning - DEBUG - Activity 193128: sampling based on floor area\n", - "2024-05-14 18:29:47,615 - acbm.assigning - DEBUG - Activity 193382: Initial number of options for activity = 112\n", - "2024-05-14 18:29:47,617 - acbm.assigning - DEBUG - Activity 193382: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:47,618 - acbm.assigning - DEBUG - Activity 193382: sampling based on floor area\n", - "2024-05-14 18:29:47,619 - acbm.assigning - DEBUG - Activity 193385: Initial number of options for activity = 112\n", - "2024-05-14 18:29:47,621 - acbm.assigning - DEBUG - Activity 193385: Number of options after filtering by education type: 112\n", - "2024-05-14 18:29:47,622 - acbm.assigning - DEBUG - Activity 193385: sampling based on floor area\n", - "2024-05-14 18:29:47,623 - acbm.assigning - DEBUG - Activity 193421: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,625 - acbm.assigning - DEBUG - Activity 193421: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,625 - acbm.assigning - DEBUG - Activity 193421: sampling based on floor area\n", - "2024-05-14 18:29:47,626 - acbm.assigning - DEBUG - Activity 193423: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,628 - acbm.assigning - DEBUG - Activity 193423: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,628 - acbm.assigning - DEBUG - Activity 193423: sampling based on floor area\n", - "2024-05-14 18:29:47,629 - acbm.assigning - DEBUG - Activity 193425: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,631 - acbm.assigning - DEBUG - Activity 193425: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,631 - acbm.assigning - DEBUG - Activity 193425: sampling based on floor area\n", - "2024-05-14 18:29:47,632 - acbm.assigning - DEBUG - Activity 193427: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,634 - acbm.assigning - DEBUG - Activity 193427: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,635 - acbm.assigning - DEBUG - Activity 193427: sampling based on floor area\n", - "2024-05-14 18:29:47,637 - acbm.assigning - DEBUG - Activity 193468: Initial number of options for activity = 7\n", - "2024-05-14 18:29:47,639 - acbm.assigning - DEBUG - Activity 193468: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:47,640 - acbm.assigning - DEBUG - Activity 193468: sampling based on floor area\n", - "2024-05-14 18:29:47,641 - acbm.assigning - DEBUG - Activity 193470: Initial number of options for activity = 7\n", - "2024-05-14 18:29:47,643 - acbm.assigning - DEBUG - Activity 193470: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:47,643 - acbm.assigning - DEBUG - Activity 193470: sampling based on floor area\n", - "2024-05-14 18:29:47,644 - acbm.assigning - DEBUG - Activity 193474: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,646 - acbm.assigning - DEBUG - Activity 193474: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,647 - acbm.assigning - DEBUG - Activity 193474: sampling based on floor area\n", - "2024-05-14 18:29:47,648 - acbm.assigning - INFO - Activity 193703: No zones available\n", - "2024-05-14 18:29:47,649 - acbm.assigning - DEBUG - Activity 193800: Initial number of options for activity = 41\n", - "2024-05-14 18:29:47,651 - acbm.assigning - DEBUG - Activity 193800: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:47,652 - acbm.assigning - DEBUG - Activity 193800: sampling based on floor area\n", - "2024-05-14 18:29:47,653 - acbm.assigning - DEBUG - Activity 193804: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,655 - acbm.assigning - DEBUG - Activity 193804: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,656 - acbm.assigning - DEBUG - Activity 193804: sampling based on floor area\n", - "2024-05-14 18:29:47,657 - acbm.assigning - DEBUG - Activity 193806: Initial number of options for activity = 11\n", - "2024-05-14 18:29:47,659 - acbm.assigning - DEBUG - Activity 193806: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:47,659 - acbm.assigning - DEBUG - Activity 193806: sampling based on floor area\n", - "2024-05-14 18:29:47,660 - acbm.assigning - DEBUG - Activity 193808: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,663 - acbm.assigning - DEBUG - Activity 193808: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,664 - acbm.assigning - DEBUG - Activity 193808: sampling based on floor area\n", - "2024-05-14 18:29:47,665 - acbm.assigning - DEBUG - Activity 193810: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,667 - acbm.assigning - DEBUG - Activity 193810: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,668 - acbm.assigning - DEBUG - Activity 193810: sampling based on floor area\n", - "2024-05-14 18:29:47,669 - acbm.assigning - DEBUG - Activity 193968: Initial number of options for activity = 103\n", - "2024-05-14 18:29:47,671 - acbm.assigning - DEBUG - Activity 193968: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:47,673 - acbm.assigning - DEBUG - Activity 193968: sampling based on floor area\n", - "2024-05-14 18:29:47,674 - acbm.assigning - DEBUG - Activity 193970: Initial number of options for activity = 103\n", - "2024-05-14 18:29:47,675 - acbm.assigning - DEBUG - Activity 193970: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:47,676 - acbm.assigning - DEBUG - Activity 193970: sampling based on floor area\n", - "2024-05-14 18:29:47,677 - acbm.assigning - DEBUG - Activity 193974: Initial number of options for activity = 103\n", - "2024-05-14 18:29:47,679 - acbm.assigning - DEBUG - Activity 193974: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:47,680 - acbm.assigning - DEBUG - Activity 193974: sampling based on floor area\n", - "2024-05-14 18:29:47,681 - acbm.assigning - DEBUG - Activity 193976: Initial number of options for activity = 103\n", - "2024-05-14 18:29:47,683 - acbm.assigning - DEBUG - Activity 193976: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:47,684 - acbm.assigning - DEBUG - Activity 193976: sampling based on floor area\n", - "2024-05-14 18:29:47,685 - acbm.assigning - DEBUG - Activity 193978: Initial number of options for activity = 103\n", - "2024-05-14 18:29:47,688 - acbm.assigning - DEBUG - Activity 193978: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:47,689 - acbm.assigning - DEBUG - Activity 193978: sampling based on floor area\n", - "2024-05-14 18:29:47,690 - acbm.assigning - DEBUG - Activity 194136: Initial number of options for activity = 143\n", - "2024-05-14 18:29:47,692 - acbm.assigning - DEBUG - Activity 194136: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:47,693 - acbm.assigning - DEBUG - Activity 194136: sampling based on floor area\n", - "2024-05-14 18:29:47,695 - acbm.assigning - DEBUG - Activity 194139: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,696 - acbm.assigning - DEBUG - Activity 194139: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,697 - acbm.assigning - DEBUG - Activity 194139: sampling based on floor area\n", - "2024-05-14 18:29:47,698 - acbm.assigning - DEBUG - Activity 194141: Initial number of options for activity = 155\n", - "2024-05-14 18:29:47,700 - acbm.assigning - DEBUG - Activity 194141: Number of options after filtering by education type: 155\n", - "2024-05-14 18:29:47,701 - acbm.assigning - DEBUG - Activity 194141: sampling based on floor area\n", - "2024-05-14 18:29:47,702 - acbm.assigning - DEBUG - Activity 194143: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,704 - acbm.assigning - DEBUG - Activity 194143: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,705 - acbm.assigning - DEBUG - Activity 194143: sampling based on floor area\n", - "2024-05-14 18:29:47,706 - acbm.assigning - DEBUG - Activity 194145: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,707 - acbm.assigning - DEBUG - Activity 194145: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,708 - acbm.assigning - DEBUG - Activity 194145: sampling based on floor area\n", - "2024-05-14 18:29:47,709 - acbm.assigning - DEBUG - Activity 194319: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,711 - acbm.assigning - DEBUG - Activity 194319: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,713 - acbm.assigning - DEBUG - Activity 194319: sampling based on floor area\n", - "2024-05-14 18:29:47,714 - acbm.assigning - DEBUG - Activity 194330: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,715 - acbm.assigning - DEBUG - Activity 194330: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,716 - acbm.assigning - DEBUG - Activity 194330: sampling based on floor area\n", - "2024-05-14 18:29:47,716 - acbm.assigning - DEBUG - Activity 194336: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,718 - acbm.assigning - DEBUG - Activity 194336: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,719 - acbm.assigning - DEBUG - Activity 194336: sampling based on floor area\n", - "2024-05-14 18:29:47,721 - acbm.assigning - DEBUG - Activity 194339: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,722 - acbm.assigning - DEBUG - Activity 194339: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,723 - acbm.assigning - DEBUG - Activity 194339: sampling based on floor area\n", - "2024-05-14 18:29:47,724 - acbm.assigning - DEBUG - Activity 194343: Initial number of options for activity = 2\n", - "2024-05-14 18:29:47,726 - acbm.assigning - DEBUG - Activity 194343: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:47,727 - acbm.assigning - DEBUG - Activity 194343: sampling based on floor area\n", - "2024-05-14 18:29:47,728 - acbm.assigning - DEBUG - Activity 194510: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,729 - acbm.assigning - DEBUG - Activity 194510: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,730 - acbm.assigning - DEBUG - Activity 194510: sampling based on floor area\n", - "2024-05-14 18:29:47,731 - acbm.assigning - DEBUG - Activity 194514: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,733 - acbm.assigning - DEBUG - Activity 194514: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,734 - acbm.assigning - DEBUG - Activity 194514: sampling based on floor area\n", - "2024-05-14 18:29:47,735 - acbm.assigning - DEBUG - Activity 194516: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,737 - acbm.assigning - DEBUG - Activity 194516: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,737 - acbm.assigning - DEBUG - Activity 194516: sampling based on floor area\n", - "2024-05-14 18:29:47,738 - acbm.assigning - DEBUG - Activity 194518: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,739 - acbm.assigning - DEBUG - Activity 194518: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,740 - acbm.assigning - DEBUG - Activity 194518: sampling based on floor area\n", - "2024-05-14 18:29:47,741 - acbm.assigning - DEBUG - Activity 194520: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,742 - acbm.assigning - DEBUG - Activity 194520: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,742 - acbm.assigning - DEBUG - Activity 194520: sampling based on floor area\n", - "2024-05-14 18:29:47,743 - acbm.assigning - DEBUG - Activity 194594: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,746 - acbm.assigning - DEBUG - Activity 194594: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,746 - acbm.assigning - DEBUG - Activity 194594: sampling based on floor area\n", - "2024-05-14 18:29:47,747 - acbm.assigning - DEBUG - Activity 194596: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,749 - acbm.assigning - DEBUG - Activity 194596: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,750 - acbm.assigning - DEBUG - Activity 194596: sampling based on floor area\n", - "2024-05-14 18:29:47,752 - acbm.assigning - DEBUG - Activity 194598: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,755 - acbm.assigning - DEBUG - Activity 194598: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,756 - acbm.assigning - DEBUG - Activity 194598: sampling based on floor area\n", - "2024-05-14 18:29:47,757 - acbm.assigning - DEBUG - Activity 194600: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,760 - acbm.assigning - DEBUG - Activity 194600: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,761 - acbm.assigning - DEBUG - Activity 194600: sampling based on floor area\n", - "2024-05-14 18:29:47,762 - acbm.assigning - INFO - Activity 194856: No zones available\n", - "2024-05-14 18:29:47,762 - acbm.assigning - INFO - Activity 194858: No zones available\n", - "2024-05-14 18:29:47,763 - acbm.assigning - INFO - Activity 194983: No zones available\n", - "2024-05-14 18:29:47,763 - acbm.assigning - DEBUG - Activity 195053: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,766 - acbm.assigning - DEBUG - Activity 195053: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,766 - acbm.assigning - DEBUG - Activity 195053: sampling based on floor area\n", - "2024-05-14 18:29:47,768 - acbm.assigning - DEBUG - Activity 195055: Initial number of options for activity = 13\n", - "2024-05-14 18:29:47,770 - acbm.assigning - DEBUG - Activity 195055: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:47,771 - acbm.assigning - DEBUG - Activity 195055: sampling based on floor area\n", - "2024-05-14 18:29:47,772 - acbm.assigning - DEBUG - Activity 195057: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,774 - acbm.assigning - DEBUG - Activity 195057: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,775 - acbm.assigning - DEBUG - Activity 195057: sampling based on floor area\n", - "2024-05-14 18:29:47,776 - acbm.assigning - DEBUG - Activity 195059: Initial number of options for activity = 2\n", - "2024-05-14 18:29:47,778 - acbm.assigning - DEBUG - Activity 195059: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:47,779 - acbm.assigning - DEBUG - Activity 195059: sampling based on floor area\n", - "2024-05-14 18:29:47,781 - acbm.assigning - DEBUG - Activity 195135: Initial number of options for activity = 153\n", - "2024-05-14 18:29:47,783 - acbm.assigning - DEBUG - Activity 195135: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:47,784 - acbm.assigning - DEBUG - Activity 195135: sampling based on floor area\n", - "2024-05-14 18:29:47,786 - acbm.assigning - DEBUG - Activity 195136: Initial number of options for activity = 162\n", - "2024-05-14 18:29:47,788 - acbm.assigning - DEBUG - Activity 195136: Number of options after filtering by education type: 162\n", - "2024-05-14 18:29:47,789 - acbm.assigning - DEBUG - Activity 195136: sampling based on floor area\n", - "2024-05-14 18:29:47,790 - acbm.assigning - DEBUG - Activity 195143: Initial number of options for activity = 162\n", - "2024-05-14 18:29:47,793 - acbm.assigning - DEBUG - Activity 195143: Number of options after filtering by education type: 162\n", - "2024-05-14 18:29:47,793 - acbm.assigning - DEBUG - Activity 195143: sampling based on floor area\n", - "2024-05-14 18:29:47,794 - acbm.assigning - DEBUG - Activity 195145: Initial number of options for activity = 153\n", - "2024-05-14 18:29:47,796 - acbm.assigning - DEBUG - Activity 195145: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:47,797 - acbm.assigning - DEBUG - Activity 195145: sampling based on floor area\n", - "2024-05-14 18:29:47,798 - acbm.assigning - DEBUG - Activity 195146: Initial number of options for activity = 153\n", - "2024-05-14 18:29:47,800 - acbm.assigning - DEBUG - Activity 195146: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:47,801 - acbm.assigning - DEBUG - Activity 195146: sampling based on floor area\n", - "2024-05-14 18:29:47,802 - acbm.assigning - DEBUG - Activity 195201: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,804 - acbm.assigning - DEBUG - Activity 195201: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,805 - acbm.assigning - DEBUG - Activity 195201: sampling based on floor area\n", - "2024-05-14 18:29:47,806 - acbm.assigning - DEBUG - Activity 195203: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,808 - acbm.assigning - DEBUG - Activity 195203: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,809 - acbm.assigning - DEBUG - Activity 195203: sampling based on floor area\n", - "2024-05-14 18:29:47,810 - acbm.assigning - DEBUG - Activity 195205: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,812 - acbm.assigning - DEBUG - Activity 195205: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,813 - acbm.assigning - DEBUG - Activity 195205: sampling based on floor area\n", - "2024-05-14 18:29:47,814 - acbm.assigning - DEBUG - Activity 195207: Initial number of options for activity = 48\n", - "2024-05-14 18:29:47,816 - acbm.assigning - DEBUG - Activity 195207: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:47,816 - acbm.assigning - DEBUG - Activity 195207: sampling based on floor area\n", - "2024-05-14 18:29:47,818 - acbm.assigning - DEBUG - Activity 195304: Initial number of options for activity = 49\n", - "2024-05-14 18:29:47,820 - acbm.assigning - DEBUG - Activity 195304: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:47,821 - acbm.assigning - DEBUG - Activity 195304: sampling based on floor area\n", - "2024-05-14 18:29:47,822 - acbm.assigning - DEBUG - Activity 195306: Initial number of options for activity = 49\n", - "2024-05-14 18:29:47,824 - acbm.assigning - DEBUG - Activity 195306: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:47,825 - acbm.assigning - DEBUG - Activity 195306: sampling based on floor area\n", - "2024-05-14 18:29:47,826 - acbm.assigning - DEBUG - Activity 195310: Initial number of options for activity = 49\n", - "2024-05-14 18:29:47,828 - acbm.assigning - DEBUG - Activity 195310: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:47,829 - acbm.assigning - DEBUG - Activity 195310: sampling based on floor area\n", - "2024-05-14 18:29:47,830 - acbm.assigning - DEBUG - Activity 195312: Initial number of options for activity = 49\n", - "2024-05-14 18:29:47,832 - acbm.assigning - DEBUG - Activity 195312: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:47,832 - acbm.assigning - DEBUG - Activity 195312: sampling based on floor area\n", - "2024-05-14 18:29:47,833 - acbm.assigning - DEBUG - Activity 195314: Initial number of options for activity = 49\n", - "2024-05-14 18:29:47,836 - acbm.assigning - DEBUG - Activity 195314: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:47,836 - acbm.assigning - DEBUG - Activity 195314: sampling based on floor area\n", - "2024-05-14 18:29:47,837 - acbm.assigning - DEBUG - Activity 195970: Initial number of options for activity = 86\n", - "2024-05-14 18:29:47,840 - acbm.assigning - DEBUG - Activity 195970: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:47,841 - acbm.assigning - DEBUG - Activity 195970: sampling based on floor area\n", - "2024-05-14 18:29:47,842 - acbm.assigning - DEBUG - Activity 195972: Initial number of options for activity = 86\n", - "2024-05-14 18:29:47,844 - acbm.assigning - DEBUG - Activity 195972: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:47,845 - acbm.assigning - DEBUG - Activity 195972: sampling based on floor area\n", - "2024-05-14 18:29:47,846 - acbm.assigning - DEBUG - Activity 195976: Initial number of options for activity = 86\n", - "2024-05-14 18:29:47,848 - acbm.assigning - DEBUG - Activity 195976: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:47,849 - acbm.assigning - DEBUG - Activity 195976: sampling based on floor area\n", - "2024-05-14 18:29:47,850 - acbm.assigning - DEBUG - Activity 195978: Initial number of options for activity = 86\n", - "2024-05-14 18:29:47,852 - acbm.assigning - DEBUG - Activity 195978: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:47,853 - acbm.assigning - DEBUG - Activity 195978: sampling based on floor area\n", - "2024-05-14 18:29:47,854 - acbm.assigning - DEBUG - Activity 195980: Initial number of options for activity = 86\n", - "2024-05-14 18:29:47,856 - acbm.assigning - DEBUG - Activity 195980: Number of options after filtering by education type: 86\n", - "2024-05-14 18:29:47,856 - acbm.assigning - DEBUG - Activity 195980: sampling based on floor area\n", - "2024-05-14 18:29:47,857 - acbm.assigning - DEBUG - Activity 196103: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,859 - acbm.assigning - DEBUG - Activity 196103: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,859 - acbm.assigning - DEBUG - Activity 196103: sampling based on floor area\n", - "2024-05-14 18:29:47,860 - acbm.assigning - INFO - Activity 196464: No zones available\n", - "2024-05-14 18:29:47,861 - acbm.assigning - INFO - Activity 196466: No zones available\n", - "2024-05-14 18:29:47,862 - acbm.assigning - INFO - Activity 196468: No zones available\n", - "2024-05-14 18:29:47,863 - acbm.assigning - INFO - Activity 196470: No zones available\n", - "2024-05-14 18:29:47,863 - acbm.assigning - INFO - Activity 196472: No zones available\n", - "2024-05-14 18:29:47,864 - acbm.assigning - DEBUG - Activity 196551: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,866 - acbm.assigning - DEBUG - Activity 196551: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,867 - acbm.assigning - DEBUG - Activity 196551: sampling based on floor area\n", - "2024-05-14 18:29:47,868 - acbm.assigning - DEBUG - Activity 196553: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,871 - acbm.assigning - DEBUG - Activity 196553: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,872 - acbm.assigning - DEBUG - Activity 196553: sampling based on floor area\n", - "2024-05-14 18:29:47,873 - acbm.assigning - DEBUG - Activity 196555: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,875 - acbm.assigning - DEBUG - Activity 196555: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,875 - acbm.assigning - DEBUG - Activity 196555: sampling based on floor area\n", - "2024-05-14 18:29:47,876 - acbm.assigning - DEBUG - Activity 196559: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,878 - acbm.assigning - DEBUG - Activity 196559: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,879 - acbm.assigning - DEBUG - Activity 196559: sampling based on floor area\n", - "2024-05-14 18:29:47,880 - acbm.assigning - DEBUG - Activity 196561: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,882 - acbm.assigning - DEBUG - Activity 196561: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,882 - acbm.assigning - DEBUG - Activity 196561: sampling based on floor area\n", - "2024-05-14 18:29:47,883 - acbm.assigning - DEBUG - Activity 196626: Initial number of options for activity = 17\n", - "2024-05-14 18:29:47,886 - acbm.assigning - DEBUG - Activity 196626: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:47,887 - acbm.assigning - DEBUG - Activity 196626: sampling based on floor area\n", - "2024-05-14 18:29:47,888 - acbm.assigning - DEBUG - Activity 196628: Initial number of options for activity = 17\n", - "2024-05-14 18:29:47,890 - acbm.assigning - DEBUG - Activity 196628: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:47,891 - acbm.assigning - DEBUG - Activity 196628: sampling based on floor area\n", - "2024-05-14 18:29:47,892 - acbm.assigning - DEBUG - Activity 196630: Initial number of options for activity = 17\n", - "2024-05-14 18:29:47,895 - acbm.assigning - DEBUG - Activity 196630: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:47,896 - acbm.assigning - DEBUG - Activity 196630: sampling based on floor area\n", - "2024-05-14 18:29:47,897 - acbm.assigning - INFO - Activity 196663: No zones available\n", - "2024-05-14 18:29:47,898 - acbm.assigning - DEBUG - Activity 196754: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,900 - acbm.assigning - DEBUG - Activity 196754: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,901 - acbm.assigning - DEBUG - Activity 196754: sampling based on floor area\n", - "2024-05-14 18:29:47,902 - acbm.assigning - DEBUG - Activity 196817: Initial number of options for activity = 93\n", - "2024-05-14 18:29:47,904 - acbm.assigning - DEBUG - Activity 196817: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:47,904 - acbm.assigning - DEBUG - Activity 196817: sampling based on floor area\n", - "2024-05-14 18:29:47,905 - acbm.assigning - DEBUG - Activity 196826: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,907 - acbm.assigning - DEBUG - Activity 196826: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,908 - acbm.assigning - DEBUG - Activity 196826: sampling based on floor area\n", - "2024-05-14 18:29:47,909 - acbm.assigning - DEBUG - Activity 197252: Initial number of options for activity = 66\n", - "2024-05-14 18:29:47,911 - acbm.assigning - DEBUG - Activity 197252: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:47,912 - acbm.assigning - DEBUG - Activity 197252: sampling based on floor area\n", - "2024-05-14 18:29:47,913 - acbm.assigning - DEBUG - Activity 197414: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,915 - acbm.assigning - DEBUG - Activity 197414: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,915 - acbm.assigning - DEBUG - Activity 197414: sampling based on floor area\n", - "2024-05-14 18:29:47,916 - acbm.assigning - DEBUG - Activity 197416: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,918 - acbm.assigning - DEBUG - Activity 197416: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,919 - acbm.assigning - DEBUG - Activity 197416: sampling based on floor area\n", - "2024-05-14 18:29:47,920 - acbm.assigning - DEBUG - Activity 197418: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,921 - acbm.assigning - DEBUG - Activity 197418: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,922 - acbm.assigning - DEBUG - Activity 197418: sampling based on floor area\n", - "2024-05-14 18:29:47,923 - acbm.assigning - DEBUG - Activity 197422: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,924 - acbm.assigning - DEBUG - Activity 197422: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,925 - acbm.assigning - DEBUG - Activity 197422: sampling based on floor area\n", - "2024-05-14 18:29:47,926 - acbm.assigning - DEBUG - Activity 197444: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,927 - acbm.assigning - DEBUG - Activity 197444: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,927 - acbm.assigning - DEBUG - Activity 197444: sampling based on floor area\n", - "2024-05-14 18:29:47,928 - acbm.assigning - DEBUG - Activity 197494: Initial number of options for activity = 132\n", - "2024-05-14 18:29:47,930 - acbm.assigning - DEBUG - Activity 197494: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:47,931 - acbm.assigning - DEBUG - Activity 197494: sampling based on floor area\n", - "2024-05-14 18:29:47,931 - acbm.assigning - DEBUG - Activity 197496: Initial number of options for activity = 132\n", - "2024-05-14 18:29:47,933 - acbm.assigning - DEBUG - Activity 197496: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:47,934 - acbm.assigning - DEBUG - Activity 197496: sampling based on floor area\n", - "2024-05-14 18:29:47,935 - acbm.assigning - DEBUG - Activity 197498: Initial number of options for activity = 132\n", - "2024-05-14 18:29:47,937 - acbm.assigning - DEBUG - Activity 197498: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:47,938 - acbm.assigning - DEBUG - Activity 197498: sampling based on floor area\n", - "2024-05-14 18:29:47,939 - acbm.assigning - DEBUG - Activity 197500: Initial number of options for activity = 132\n", - "2024-05-14 18:29:47,941 - acbm.assigning - DEBUG - Activity 197500: Number of options after filtering by education type: 132\n", - "2024-05-14 18:29:47,941 - acbm.assigning - DEBUG - Activity 197500: sampling based on floor area\n", - "2024-05-14 18:29:47,942 - acbm.assigning - INFO - Activity 197915: No zones available\n", - "2024-05-14 18:29:47,943 - acbm.assigning - DEBUG - Activity 197918: Initial number of options for activity = 6\n", - "2024-05-14 18:29:47,944 - acbm.assigning - DEBUG - Activity 197918: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:47,945 - acbm.assigning - DEBUG - Activity 197918: sampling based on floor area\n", - "2024-05-14 18:29:47,946 - acbm.assigning - DEBUG - Activity 198118: Initial number of options for activity = 36\n", - "2024-05-14 18:29:47,948 - acbm.assigning - DEBUG - Activity 198118: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:47,949 - acbm.assigning - DEBUG - Activity 198118: sampling based on floor area\n", - "2024-05-14 18:29:47,950 - acbm.assigning - DEBUG - Activity 198120: Initial number of options for activity = 54\n", - "2024-05-14 18:29:47,951 - acbm.assigning - DEBUG - Activity 198120: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:47,952 - acbm.assigning - DEBUG - Activity 198120: sampling based on floor area\n", - "2024-05-14 18:29:47,953 - acbm.assigning - DEBUG - Activity 198122: Initial number of options for activity = 36\n", - "2024-05-14 18:29:47,955 - acbm.assigning - DEBUG - Activity 198122: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:47,955 - acbm.assigning - DEBUG - Activity 198122: sampling based on floor area\n", - "2024-05-14 18:29:47,956 - acbm.assigning - DEBUG - Activity 198124: Initial number of options for activity = 36\n", - "2024-05-14 18:29:47,958 - acbm.assigning - DEBUG - Activity 198124: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:47,959 - acbm.assigning - DEBUG - Activity 198124: sampling based on floor area\n", - "2024-05-14 18:29:47,960 - acbm.assigning - INFO - Activity 198323: No zones available\n", - "2024-05-14 18:29:47,960 - acbm.assigning - INFO - Activity 198325: No zones available\n", - "2024-05-14 18:29:47,961 - acbm.assigning - INFO - Activity 198328: No zones available\n", - "2024-05-14 18:29:47,961 - acbm.assigning - DEBUG - Activity 198331: Initial number of options for activity = 80\n", - "2024-05-14 18:29:47,963 - acbm.assigning - DEBUG - Activity 198331: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:47,964 - acbm.assigning - DEBUG - Activity 198331: sampling based on floor area\n", - "2024-05-14 18:29:47,965 - acbm.assigning - INFO - Activity 198333: No zones available\n", - "2024-05-14 18:29:47,965 - acbm.assigning - DEBUG - Activity 198454: Initial number of options for activity = 8\n", - "2024-05-14 18:29:47,967 - acbm.assigning - DEBUG - Activity 198454: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:47,968 - acbm.assigning - DEBUG - Activity 198454: sampling based on floor area\n", - "2024-05-14 18:29:47,969 - acbm.assigning - DEBUG - Activity 198456: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,971 - acbm.assigning - DEBUG - Activity 198456: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,971 - acbm.assigning - DEBUG - Activity 198456: sampling based on floor area\n", - "2024-05-14 18:29:47,972 - acbm.assigning - DEBUG - Activity 198462: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,974 - acbm.assigning - DEBUG - Activity 198462: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,975 - acbm.assigning - DEBUG - Activity 198462: sampling based on floor area\n", - "2024-05-14 18:29:47,975 - acbm.assigning - DEBUG - Activity 198463: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,977 - acbm.assigning - DEBUG - Activity 198463: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,977 - acbm.assigning - DEBUG - Activity 198463: sampling based on floor area\n", - "2024-05-14 18:29:47,979 - acbm.assigning - DEBUG - Activity 198464: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,980 - acbm.assigning - DEBUG - Activity 198464: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,981 - acbm.assigning - DEBUG - Activity 198464: sampling based on floor area\n", - "2024-05-14 18:29:47,982 - acbm.assigning - DEBUG - Activity 198735: Initial number of options for activity = 28\n", - "2024-05-14 18:29:47,984 - acbm.assigning - DEBUG - Activity 198735: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:47,985 - acbm.assigning - DEBUG - Activity 198735: sampling based on floor area\n", - "2024-05-14 18:29:47,986 - acbm.assigning - DEBUG - Activity 198737: Initial number of options for activity = 28\n", - "2024-05-14 18:29:47,987 - acbm.assigning - DEBUG - Activity 198737: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:47,988 - acbm.assigning - DEBUG - Activity 198737: sampling based on floor area\n", - "2024-05-14 18:29:47,989 - acbm.assigning - DEBUG - Activity 198739: Initial number of options for activity = 28\n", - "2024-05-14 18:29:47,991 - acbm.assigning - DEBUG - Activity 198739: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:47,992 - acbm.assigning - DEBUG - Activity 198739: sampling based on floor area\n", - "2024-05-14 18:29:47,993 - acbm.assigning - DEBUG - Activity 198741: Initial number of options for activity = 28\n", - "2024-05-14 18:29:47,995 - acbm.assigning - DEBUG - Activity 198741: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:47,996 - acbm.assigning - DEBUG - Activity 198741: sampling based on floor area\n", - "2024-05-14 18:29:47,997 - acbm.assigning - DEBUG - Activity 199057: Initial number of options for activity = 1\n", - "2024-05-14 18:29:47,998 - acbm.assigning - DEBUG - Activity 199057: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:47,999 - acbm.assigning - DEBUG - Activity 199057: sampling based on floor area\n", - "2024-05-14 18:29:48,000 - acbm.assigning - DEBUG - Activity 199151: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,001 - acbm.assigning - DEBUG - Activity 199151: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,002 - acbm.assigning - DEBUG - Activity 199151: sampling based on floor area\n", - "2024-05-14 18:29:48,003 - acbm.assigning - DEBUG - Activity 199160: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,005 - acbm.assigning - DEBUG - Activity 199160: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,005 - acbm.assigning - DEBUG - Activity 199160: sampling based on floor area\n", - "2024-05-14 18:29:48,006 - acbm.assigning - DEBUG - Activity 199227: Initial number of options for activity = 188\n", - "2024-05-14 18:29:48,007 - acbm.assigning - DEBUG - Activity 199227: Number of options after filtering by education type: 188\n", - "2024-05-14 18:29:48,008 - acbm.assigning - DEBUG - Activity 199227: sampling based on floor area\n", - "2024-05-14 18:29:48,009 - acbm.assigning - DEBUG - Activity 199233: Initial number of options for activity = 171\n", - "2024-05-14 18:29:48,011 - acbm.assigning - DEBUG - Activity 199233: Number of options after filtering by education type: 171\n", - "2024-05-14 18:29:48,011 - acbm.assigning - DEBUG - Activity 199233: sampling based on floor area\n", - "2024-05-14 18:29:48,013 - acbm.assigning - DEBUG - Activity 199239: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,014 - acbm.assigning - DEBUG - Activity 199239: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,015 - acbm.assigning - DEBUG - Activity 199239: sampling based on floor area\n", - "2024-05-14 18:29:48,016 - acbm.assigning - DEBUG - Activity 199240: Initial number of options for activity = 77\n", - "2024-05-14 18:29:48,018 - acbm.assigning - DEBUG - Activity 199240: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:48,019 - acbm.assigning - DEBUG - Activity 199240: sampling based on floor area\n", - "2024-05-14 18:29:48,020 - acbm.assigning - DEBUG - Activity 199241: Initial number of options for activity = 121\n", - "2024-05-14 18:29:48,021 - acbm.assigning - DEBUG - Activity 199241: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:48,022 - acbm.assigning - DEBUG - Activity 199241: sampling based on floor area\n", - "2024-05-14 18:29:48,022 - acbm.assigning - DEBUG - Activity 199243: Initial number of options for activity = 121\n", - "2024-05-14 18:29:48,024 - acbm.assigning - DEBUG - Activity 199243: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:48,024 - acbm.assigning - DEBUG - Activity 199243: sampling based on floor area\n", - "2024-05-14 18:29:48,026 - acbm.assigning - DEBUG - Activity 199246: Initial number of options for activity = 14\n", - "2024-05-14 18:29:48,028 - acbm.assigning - DEBUG - Activity 199246: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:48,029 - acbm.assigning - DEBUG - Activity 199246: sampling based on floor area\n", - "2024-05-14 18:29:48,030 - acbm.assigning - DEBUG - Activity 199250: Initial number of options for activity = 121\n", - "2024-05-14 18:29:48,033 - acbm.assigning - DEBUG - Activity 199250: Number of options after filtering by education type: 121\n", - "2024-05-14 18:29:48,033 - acbm.assigning - DEBUG - Activity 199250: sampling based on floor area\n", - "2024-05-14 18:29:48,035 - acbm.assigning - DEBUG - Activity 199449: Initial number of options for activity = 66\n", - "2024-05-14 18:29:48,037 - acbm.assigning - DEBUG - Activity 199449: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:48,038 - acbm.assigning - DEBUG - Activity 199449: sampling based on floor area\n", - "2024-05-14 18:29:48,039 - acbm.assigning - DEBUG - Activity 199451: Initial number of options for activity = 66\n", - "2024-05-14 18:29:48,041 - acbm.assigning - DEBUG - Activity 199451: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:48,042 - acbm.assigning - DEBUG - Activity 199451: sampling based on floor area\n", - "2024-05-14 18:29:48,043 - acbm.assigning - DEBUG - Activity 199455: Initial number of options for activity = 66\n", - "2024-05-14 18:29:48,045 - acbm.assigning - DEBUG - Activity 199455: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:48,046 - acbm.assigning - DEBUG - Activity 199455: sampling based on floor area\n", - "2024-05-14 18:29:48,047 - acbm.assigning - DEBUG - Activity 199457: Initial number of options for activity = 66\n", - "2024-05-14 18:29:48,049 - acbm.assigning - DEBUG - Activity 199457: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:48,050 - acbm.assigning - DEBUG - Activity 199457: sampling based on floor area\n", - "2024-05-14 18:29:48,051 - acbm.assigning - DEBUG - Activity 199459: Initial number of options for activity = 66\n", - "2024-05-14 18:29:48,053 - acbm.assigning - DEBUG - Activity 199459: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:48,054 - acbm.assigning - DEBUG - Activity 199459: sampling based on floor area\n", - "2024-05-14 18:29:48,054 - acbm.assigning - DEBUG - Activity 199550: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,056 - acbm.assigning - DEBUG - Activity 199550: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,056 - acbm.assigning - DEBUG - Activity 199550: sampling based on floor area\n", - "2024-05-14 18:29:48,057 - acbm.assigning - DEBUG - Activity 199597: Initial number of options for activity = 11\n", - "2024-05-14 18:29:48,058 - acbm.assigning - DEBUG - Activity 199597: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:48,059 - acbm.assigning - DEBUG - Activity 199597: sampling based on floor area\n", - "2024-05-14 18:29:48,060 - acbm.assigning - DEBUG - Activity 199599: Initial number of options for activity = 11\n", - "2024-05-14 18:29:48,061 - acbm.assigning - DEBUG - Activity 199599: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:48,062 - acbm.assigning - DEBUG - Activity 199599: sampling based on floor area\n", - "2024-05-14 18:29:48,063 - acbm.assigning - DEBUG - Activity 199603: Initial number of options for activity = 11\n", - "2024-05-14 18:29:48,065 - acbm.assigning - DEBUG - Activity 199603: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:48,065 - acbm.assigning - DEBUG - Activity 199603: sampling based on floor area\n", - "2024-05-14 18:29:48,066 - acbm.assigning - DEBUG - Activity 199608: Initial number of options for activity = 11\n", - "2024-05-14 18:29:48,068 - acbm.assigning - DEBUG - Activity 199608: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:48,069 - acbm.assigning - DEBUG - Activity 199608: sampling based on floor area\n", - "2024-05-14 18:29:48,070 - acbm.assigning - DEBUG - Activity 199610: Initial number of options for activity = 11\n", - "2024-05-14 18:29:48,071 - acbm.assigning - DEBUG - Activity 199610: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:48,072 - acbm.assigning - DEBUG - Activity 199610: sampling based on floor area\n", - "2024-05-14 18:29:48,074 - acbm.assigning - DEBUG - Activity 199863: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,075 - acbm.assigning - DEBUG - Activity 199863: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,076 - acbm.assigning - DEBUG - Activity 199863: sampling based on floor area\n", - "2024-05-14 18:29:48,077 - acbm.assigning - DEBUG - Activity 199866: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,078 - acbm.assigning - DEBUG - Activity 199866: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,079 - acbm.assigning - DEBUG - Activity 199866: sampling based on floor area\n", - "2024-05-14 18:29:48,080 - acbm.assigning - DEBUG - Activity 199867: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,081 - acbm.assigning - DEBUG - Activity 199867: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,082 - acbm.assigning - DEBUG - Activity 199867: sampling based on floor area\n", - "2024-05-14 18:29:48,083 - acbm.assigning - DEBUG - Activity 199868: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,086 - acbm.assigning - DEBUG - Activity 199868: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,086 - acbm.assigning - DEBUG - Activity 199868: sampling based on floor area\n", - "2024-05-14 18:29:48,087 - acbm.assigning - DEBUG - Activity 199872: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,089 - acbm.assigning - DEBUG - Activity 199872: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,089 - acbm.assigning - DEBUG - Activity 199872: sampling based on floor area\n", - "2024-05-14 18:29:48,090 - acbm.assigning - DEBUG - Activity 199875: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,092 - acbm.assigning - DEBUG - Activity 199875: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,092 - acbm.assigning - DEBUG - Activity 199875: sampling based on floor area\n", - "2024-05-14 18:29:48,093 - acbm.assigning - DEBUG - Activity 199884: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,094 - acbm.assigning - DEBUG - Activity 199884: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,095 - acbm.assigning - DEBUG - Activity 199884: sampling based on floor area\n", - "2024-05-14 18:29:48,096 - acbm.assigning - DEBUG - Activity 199885: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,097 - acbm.assigning - DEBUG - Activity 199885: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,098 - acbm.assigning - DEBUG - Activity 199885: sampling based on floor area\n", - "2024-05-14 18:29:48,099 - acbm.assigning - DEBUG - Activity 200250: Initial number of options for activity = 83\n", - "2024-05-14 18:29:48,101 - acbm.assigning - DEBUG - Activity 200250: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:48,103 - acbm.assigning - DEBUG - Activity 200250: sampling based on floor area\n", - "2024-05-14 18:29:48,104 - acbm.assigning - DEBUG - Activity 200252: Initial number of options for activity = 83\n", - "2024-05-14 18:29:48,106 - acbm.assigning - DEBUG - Activity 200252: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:48,107 - acbm.assigning - DEBUG - Activity 200252: sampling based on floor area\n", - "2024-05-14 18:29:48,108 - acbm.assigning - DEBUG - Activity 200254: Initial number of options for activity = 83\n", - "2024-05-14 18:29:48,110 - acbm.assigning - DEBUG - Activity 200254: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:48,110 - acbm.assigning - DEBUG - Activity 200254: sampling based on floor area\n", - "2024-05-14 18:29:48,111 - acbm.assigning - DEBUG - Activity 200256: Initial number of options for activity = 83\n", - "2024-05-14 18:29:48,113 - acbm.assigning - DEBUG - Activity 200256: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:48,114 - acbm.assigning - DEBUG - Activity 200256: sampling based on floor area\n", - "2024-05-14 18:29:48,115 - acbm.assigning - DEBUG - Activity 200258: Initial number of options for activity = 83\n", - "2024-05-14 18:29:48,116 - acbm.assigning - DEBUG - Activity 200258: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:48,118 - acbm.assigning - DEBUG - Activity 200258: sampling based on floor area\n", - "2024-05-14 18:29:48,119 - acbm.assigning - DEBUG - Activity 200618: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,121 - acbm.assigning - DEBUG - Activity 200618: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,121 - acbm.assigning - DEBUG - Activity 200618: sampling based on floor area\n", - "2024-05-14 18:29:48,122 - acbm.assigning - DEBUG - Activity 200708: Initial number of options for activity = 30\n", - "2024-05-14 18:29:48,124 - acbm.assigning - DEBUG - Activity 200708: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:48,125 - acbm.assigning - DEBUG - Activity 200708: sampling based on floor area\n", - "2024-05-14 18:29:48,125 - acbm.assigning - DEBUG - Activity 200710: Initial number of options for activity = 30\n", - "2024-05-14 18:29:48,127 - acbm.assigning - DEBUG - Activity 200710: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:48,127 - acbm.assigning - DEBUG - Activity 200710: sampling based on floor area\n", - "2024-05-14 18:29:48,128 - acbm.assigning - DEBUG - Activity 200712: Initial number of options for activity = 30\n", - "2024-05-14 18:29:48,130 - acbm.assigning - DEBUG - Activity 200712: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:48,130 - acbm.assigning - DEBUG - Activity 200712: sampling based on floor area\n", - "2024-05-14 18:29:48,132 - acbm.assigning - DEBUG - Activity 200714: Initial number of options for activity = 30\n", - "2024-05-14 18:29:48,133 - acbm.assigning - DEBUG - Activity 200714: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:48,134 - acbm.assigning - DEBUG - Activity 200714: sampling based on floor area\n", - "2024-05-14 18:29:48,135 - acbm.assigning - DEBUG - Activity 200745: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,137 - acbm.assigning - DEBUG - Activity 200745: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,137 - acbm.assigning - DEBUG - Activity 200745: sampling based on floor area\n", - "2024-05-14 18:29:48,138 - acbm.assigning - DEBUG - Activity 200747: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,140 - acbm.assigning - DEBUG - Activity 200747: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,141 - acbm.assigning - DEBUG - Activity 200747: sampling based on floor area\n", - "2024-05-14 18:29:48,142 - acbm.assigning - DEBUG - Activity 200749: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,143 - acbm.assigning - DEBUG - Activity 200749: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,144 - acbm.assigning - DEBUG - Activity 200749: sampling based on floor area\n", - "2024-05-14 18:29:48,145 - acbm.assigning - DEBUG - Activity 200751: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,146 - acbm.assigning - DEBUG - Activity 200751: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,147 - acbm.assigning - DEBUG - Activity 200751: sampling based on floor area\n", - "2024-05-14 18:29:48,148 - acbm.assigning - DEBUG - Activity 200753: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,150 - acbm.assigning - DEBUG - Activity 200753: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,150 - acbm.assigning - DEBUG - Activity 200753: sampling based on floor area\n", - "2024-05-14 18:29:48,152 - acbm.assigning - DEBUG - Activity 200816: Initial number of options for activity = 36\n", - "2024-05-14 18:29:48,154 - acbm.assigning - DEBUG - Activity 200816: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:48,154 - acbm.assigning - DEBUG - Activity 200816: sampling based on floor area\n", - "2024-05-14 18:29:48,155 - acbm.assigning - DEBUG - Activity 200818: Initial number of options for activity = 36\n", - "2024-05-14 18:29:48,157 - acbm.assigning - DEBUG - Activity 200818: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:48,157 - acbm.assigning - DEBUG - Activity 200818: sampling based on floor area\n", - "2024-05-14 18:29:48,158 - acbm.assigning - DEBUG - Activity 200822: Initial number of options for activity = 36\n", - "2024-05-14 18:29:48,159 - acbm.assigning - DEBUG - Activity 200822: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:48,160 - acbm.assigning - DEBUG - Activity 200822: sampling based on floor area\n", - "2024-05-14 18:29:48,161 - acbm.assigning - DEBUG - Activity 200824: Initial number of options for activity = 36\n", - "2024-05-14 18:29:48,163 - acbm.assigning - DEBUG - Activity 200824: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:48,163 - acbm.assigning - DEBUG - Activity 200824: sampling based on floor area\n", - "2024-05-14 18:29:48,164 - acbm.assigning - DEBUG - Activity 200826: Initial number of options for activity = 36\n", - "2024-05-14 18:29:48,166 - acbm.assigning - DEBUG - Activity 200826: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:48,167 - acbm.assigning - DEBUG - Activity 200826: sampling based on floor area\n", - "2024-05-14 18:29:48,168 - acbm.assigning - INFO - Activity 200830: No zones available\n", - "2024-05-14 18:29:48,169 - acbm.assigning - INFO - Activity 200896: No zones available\n", - "2024-05-14 18:29:48,169 - acbm.assigning - INFO - Activity 200898: No zones available\n", - "2024-05-14 18:29:48,170 - acbm.assigning - INFO - Activity 200954: No zones available\n", - "2024-05-14 18:29:48,170 - acbm.assigning - DEBUG - Activity 200975: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,172 - acbm.assigning - DEBUG - Activity 200975: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,172 - acbm.assigning - DEBUG - Activity 200975: sampling based on floor area\n", - "2024-05-14 18:29:48,173 - acbm.assigning - DEBUG - Activity 200977: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,175 - acbm.assigning - DEBUG - Activity 200977: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,175 - acbm.assigning - DEBUG - Activity 200977: sampling based on floor area\n", - "2024-05-14 18:29:48,176 - acbm.assigning - DEBUG - Activity 200981: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,178 - acbm.assigning - DEBUG - Activity 200981: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,179 - acbm.assigning - DEBUG - Activity 200981: sampling based on floor area\n", - "2024-05-14 18:29:48,180 - acbm.assigning - DEBUG - Activity 200983: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,182 - acbm.assigning - DEBUG - Activity 200983: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,183 - acbm.assigning - DEBUG - Activity 200983: sampling based on floor area\n", - "2024-05-14 18:29:48,184 - acbm.assigning - DEBUG - Activity 200986: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,186 - acbm.assigning - DEBUG - Activity 200986: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,186 - acbm.assigning - DEBUG - Activity 200986: sampling based on floor area\n", - "2024-05-14 18:29:48,188 - acbm.assigning - DEBUG - Activity 200993: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,190 - acbm.assigning - DEBUG - Activity 200993: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,190 - acbm.assigning - DEBUG - Activity 200993: sampling based on floor area\n", - "2024-05-14 18:29:48,192 - acbm.assigning - DEBUG - Activity 200994: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,194 - acbm.assigning - DEBUG - Activity 200994: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,194 - acbm.assigning - DEBUG - Activity 200994: sampling based on floor area\n", - "2024-05-14 18:29:48,195 - acbm.assigning - DEBUG - Activity 200995: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,197 - acbm.assigning - DEBUG - Activity 200995: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,198 - acbm.assigning - DEBUG - Activity 200995: sampling based on floor area\n", - "2024-05-14 18:29:48,199 - acbm.assigning - DEBUG - Activity 200997: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,200 - acbm.assigning - DEBUG - Activity 200997: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,201 - acbm.assigning - DEBUG - Activity 200997: sampling based on floor area\n", - "2024-05-14 18:29:48,202 - acbm.assigning - DEBUG - Activity 200998: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,203 - acbm.assigning - DEBUG - Activity 200998: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,204 - acbm.assigning - DEBUG - Activity 200998: sampling based on floor area\n", - "2024-05-14 18:29:48,205 - acbm.assigning - DEBUG - Activity 201078: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,206 - acbm.assigning - DEBUG - Activity 201078: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,207 - acbm.assigning - DEBUG - Activity 201078: sampling based on floor area\n", - "2024-05-14 18:29:48,208 - acbm.assigning - DEBUG - Activity 201080: Initial number of options for activity = 36\n", - "2024-05-14 18:29:48,210 - acbm.assigning - DEBUG - Activity 201080: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:48,211 - acbm.assigning - DEBUG - Activity 201080: sampling based on floor area\n", - "2024-05-14 18:29:48,212 - acbm.assigning - DEBUG - Activity 201162: Initial number of options for activity = 153\n", - "2024-05-14 18:29:48,215 - acbm.assigning - DEBUG - Activity 201162: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:48,216 - acbm.assigning - DEBUG - Activity 201162: sampling based on floor area\n", - "2024-05-14 18:29:48,217 - acbm.assigning - DEBUG - Activity 201165: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,219 - acbm.assigning - DEBUG - Activity 201165: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,220 - acbm.assigning - DEBUG - Activity 201165: sampling based on floor area\n", - "2024-05-14 18:29:48,222 - acbm.assigning - DEBUG - Activity 201168: Initial number of options for activity = 151\n", - "2024-05-14 18:29:48,224 - acbm.assigning - DEBUG - Activity 201168: Number of options after filtering by education type: 151\n", - "2024-05-14 18:29:48,225 - acbm.assigning - DEBUG - Activity 201168: sampling based on floor area\n", - "2024-05-14 18:29:48,226 - acbm.assigning - DEBUG - Activity 201261: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,228 - acbm.assigning - DEBUG - Activity 201261: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,229 - acbm.assigning - DEBUG - Activity 201261: sampling based on floor area\n", - "2024-05-14 18:29:48,230 - acbm.assigning - DEBUG - Activity 201263: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,233 - acbm.assigning - DEBUG - Activity 201263: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,235 - acbm.assigning - DEBUG - Activity 201263: sampling based on floor area\n", - "2024-05-14 18:29:48,236 - acbm.assigning - DEBUG - Activity 201267: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,238 - acbm.assigning - DEBUG - Activity 201267: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,238 - acbm.assigning - DEBUG - Activity 201267: sampling based on floor area\n", - "2024-05-14 18:29:48,239 - acbm.assigning - DEBUG - Activity 201272: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,241 - acbm.assigning - DEBUG - Activity 201272: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,242 - acbm.assigning - DEBUG - Activity 201272: sampling based on floor area\n", - "2024-05-14 18:29:48,243 - acbm.assigning - DEBUG - Activity 201274: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,244 - acbm.assigning - DEBUG - Activity 201274: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,245 - acbm.assigning - DEBUG - Activity 201274: sampling based on floor area\n", - "2024-05-14 18:29:48,246 - acbm.assigning - DEBUG - Activity 201332: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,248 - acbm.assigning - DEBUG - Activity 201332: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,248 - acbm.assigning - DEBUG - Activity 201332: sampling based on floor area\n", - "2024-05-14 18:29:48,249 - acbm.assigning - DEBUG - Activity 201334: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,251 - acbm.assigning - DEBUG - Activity 201334: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,252 - acbm.assigning - DEBUG - Activity 201334: sampling based on floor area\n", - "2024-05-14 18:29:48,253 - acbm.assigning - DEBUG - Activity 201336: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,254 - acbm.assigning - DEBUG - Activity 201336: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,255 - acbm.assigning - DEBUG - Activity 201336: sampling based on floor area\n", - "2024-05-14 18:29:48,256 - acbm.assigning - DEBUG - Activity 201338: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,257 - acbm.assigning - DEBUG - Activity 201338: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,258 - acbm.assigning - DEBUG - Activity 201338: sampling based on floor area\n", - "2024-05-14 18:29:48,259 - acbm.assigning - DEBUG - Activity 201417: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,261 - acbm.assigning - DEBUG - Activity 201417: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,262 - acbm.assigning - DEBUG - Activity 201417: sampling based on floor area\n", - "2024-05-14 18:29:48,263 - acbm.assigning - DEBUG - Activity 201850: Initial number of options for activity = 10\n", - "2024-05-14 18:29:48,264 - acbm.assigning - DEBUG - Activity 201850: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:48,265 - acbm.assigning - DEBUG - Activity 201850: sampling based on floor area\n", - "2024-05-14 18:29:48,266 - acbm.assigning - DEBUG - Activity 201852: Initial number of options for activity = 10\n", - "2024-05-14 18:29:48,268 - acbm.assigning - DEBUG - Activity 201852: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:48,269 - acbm.assigning - DEBUG - Activity 201852: sampling based on floor area\n", - "2024-05-14 18:29:48,270 - acbm.assigning - DEBUG - Activity 201854: Initial number of options for activity = 10\n", - "2024-05-14 18:29:48,272 - acbm.assigning - DEBUG - Activity 201854: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:48,273 - acbm.assigning - DEBUG - Activity 201854: sampling based on floor area\n", - "2024-05-14 18:29:48,274 - acbm.assigning - DEBUG - Activity 201856: Initial number of options for activity = 10\n", - "2024-05-14 18:29:48,276 - acbm.assigning - DEBUG - Activity 201856: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:48,276 - acbm.assigning - DEBUG - Activity 201856: sampling based on floor area\n", - "2024-05-14 18:29:48,278 - acbm.assigning - DEBUG - Activity 202888: Initial number of options for activity = 3\n", - "2024-05-14 18:29:48,280 - acbm.assigning - DEBUG - Activity 202888: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:48,281 - acbm.assigning - DEBUG - Activity 202888: sampling based on floor area\n", - "2024-05-14 18:29:48,282 - acbm.assigning - DEBUG - Activity 202890: Initial number of options for activity = 3\n", - "2024-05-14 18:29:48,284 - acbm.assigning - DEBUG - Activity 202890: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:48,285 - acbm.assigning - DEBUG - Activity 202890: sampling based on floor area\n", - "2024-05-14 18:29:48,286 - acbm.assigning - DEBUG - Activity 202892: Initial number of options for activity = 3\n", - "2024-05-14 18:29:48,288 - acbm.assigning - DEBUG - Activity 202892: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:48,289 - acbm.assigning - DEBUG - Activity 202892: sampling based on floor area\n", - "2024-05-14 18:29:48,290 - acbm.assigning - DEBUG - Activity 202967: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,292 - acbm.assigning - DEBUG - Activity 202967: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,293 - acbm.assigning - DEBUG - Activity 202967: sampling based on floor area\n", - "2024-05-14 18:29:48,294 - acbm.assigning - INFO - Activity 203109: No zones available\n", - "2024-05-14 18:29:48,294 - acbm.assigning - INFO - Activity 203115: No zones available\n", - "2024-05-14 18:29:48,295 - acbm.assigning - DEBUG - Activity 203145: Initial number of options for activity = 32\n", - "2024-05-14 18:29:48,297 - acbm.assigning - DEBUG - Activity 203145: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:48,298 - acbm.assigning - DEBUG - Activity 203145: sampling based on floor area\n", - "2024-05-14 18:29:48,299 - acbm.assigning - DEBUG - Activity 203147: Initial number of options for activity = 32\n", - "2024-05-14 18:29:48,301 - acbm.assigning - DEBUG - Activity 203147: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:48,302 - acbm.assigning - DEBUG - Activity 203147: sampling based on floor area\n", - "2024-05-14 18:29:48,304 - acbm.assigning - DEBUG - Activity 203149: Initial number of options for activity = 32\n", - "2024-05-14 18:29:48,306 - acbm.assigning - DEBUG - Activity 203149: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:48,306 - acbm.assigning - DEBUG - Activity 203149: sampling based on floor area\n", - "2024-05-14 18:29:48,307 - acbm.assigning - DEBUG - Activity 203153: Initial number of options for activity = 32\n", - "2024-05-14 18:29:48,309 - acbm.assigning - DEBUG - Activity 203153: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:48,310 - acbm.assigning - DEBUG - Activity 203153: sampling based on floor area\n", - "2024-05-14 18:29:48,311 - acbm.assigning - DEBUG - Activity 203230: Initial number of options for activity = 119\n", - "2024-05-14 18:29:48,313 - acbm.assigning - DEBUG - Activity 203230: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:48,313 - acbm.assigning - DEBUG - Activity 203230: sampling based on floor area\n", - "2024-05-14 18:29:48,314 - acbm.assigning - DEBUG - Activity 203232: Initial number of options for activity = 119\n", - "2024-05-14 18:29:48,316 - acbm.assigning - DEBUG - Activity 203232: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:48,317 - acbm.assigning - DEBUG - Activity 203232: sampling based on floor area\n", - "2024-05-14 18:29:48,318 - acbm.assigning - DEBUG - Activity 203234: Initial number of options for activity = 119\n", - "2024-05-14 18:29:48,320 - acbm.assigning - DEBUG - Activity 203234: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:48,320 - acbm.assigning - DEBUG - Activity 203234: sampling based on floor area\n", - "2024-05-14 18:29:48,321 - acbm.assigning - DEBUG - Activity 203236: Initial number of options for activity = 119\n", - "2024-05-14 18:29:48,323 - acbm.assigning - DEBUG - Activity 203236: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:48,323 - acbm.assigning - DEBUG - Activity 203236: sampling based on floor area\n", - "2024-05-14 18:29:48,324 - acbm.assigning - INFO - Activity 203283: No zones available\n", - "2024-05-14 18:29:48,325 - acbm.assigning - INFO - Activity 203284: No zones available\n", - "2024-05-14 18:29:48,325 - acbm.assigning - INFO - Activity 203288: No zones available\n", - "2024-05-14 18:29:48,326 - acbm.assigning - INFO - Activity 203289: No zones available\n", - "2024-05-14 18:29:48,326 - acbm.assigning - INFO - Activity 203290: No zones available\n", - "2024-05-14 18:29:48,327 - acbm.assigning - DEBUG - Activity 203369: Initial number of options for activity = 131\n", - "2024-05-14 18:29:48,329 - acbm.assigning - DEBUG - Activity 203369: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:48,330 - acbm.assigning - DEBUG - Activity 203369: sampling based on floor area\n", - "2024-05-14 18:29:48,332 - acbm.assigning - DEBUG - Activity 203371: Initial number of options for activity = 131\n", - "2024-05-14 18:29:48,335 - acbm.assigning - DEBUG - Activity 203371: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:48,336 - acbm.assigning - DEBUG - Activity 203371: sampling based on floor area\n", - "2024-05-14 18:29:48,337 - acbm.assigning - DEBUG - Activity 203373: Initial number of options for activity = 131\n", - "2024-05-14 18:29:48,339 - acbm.assigning - DEBUG - Activity 203373: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:48,340 - acbm.assigning - DEBUG - Activity 203373: sampling based on floor area\n", - "2024-05-14 18:29:48,341 - acbm.assigning - DEBUG - Activity 203375: Initial number of options for activity = 131\n", - "2024-05-14 18:29:48,342 - acbm.assigning - DEBUG - Activity 203375: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:48,343 - acbm.assigning - DEBUG - Activity 203375: sampling based on floor area\n", - "2024-05-14 18:29:48,344 - acbm.assigning - DEBUG - Activity 203379: Initial number of options for activity = 131\n", - "2024-05-14 18:29:48,346 - acbm.assigning - DEBUG - Activity 203379: Number of options after filtering by education type: 131\n", - "2024-05-14 18:29:48,346 - acbm.assigning - DEBUG - Activity 203379: sampling based on floor area\n", - "2024-05-14 18:29:48,348 - acbm.assigning - INFO - Activity 203586: No zones available\n", - "2024-05-14 18:29:48,348 - acbm.assigning - DEBUG - Activity 203682: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,351 - acbm.assigning - DEBUG - Activity 203682: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,352 - acbm.assigning - DEBUG - Activity 203682: sampling based on floor area\n", - "2024-05-14 18:29:48,353 - acbm.assigning - DEBUG - Activity 203684: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,354 - acbm.assigning - DEBUG - Activity 203684: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,355 - acbm.assigning - DEBUG - Activity 203684: sampling based on floor area\n", - "2024-05-14 18:29:48,356 - acbm.assigning - DEBUG - Activity 203686: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,358 - acbm.assigning - DEBUG - Activity 203686: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,359 - acbm.assigning - DEBUG - Activity 203686: sampling based on floor area\n", - "2024-05-14 18:29:48,360 - acbm.assigning - DEBUG - Activity 203692: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,362 - acbm.assigning - DEBUG - Activity 203692: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,362 - acbm.assigning - DEBUG - Activity 203692: sampling based on floor area\n", - "2024-05-14 18:29:48,363 - acbm.assigning - DEBUG - Activity 203695: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,365 - acbm.assigning - DEBUG - Activity 203695: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,366 - acbm.assigning - DEBUG - Activity 203695: sampling based on floor area\n", - "2024-05-14 18:29:48,367 - acbm.assigning - DEBUG - Activity 203716: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,369 - acbm.assigning - DEBUG - Activity 203716: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,370 - acbm.assigning - DEBUG - Activity 203716: sampling based on floor area\n", - "2024-05-14 18:29:48,372 - acbm.assigning - DEBUG - Activity 203729: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,374 - acbm.assigning - DEBUG - Activity 203729: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,375 - acbm.assigning - DEBUG - Activity 203729: sampling based on floor area\n", - "2024-05-14 18:29:48,376 - acbm.assigning - DEBUG - Activity 203734: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,378 - acbm.assigning - DEBUG - Activity 203734: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,378 - acbm.assigning - DEBUG - Activity 203734: sampling based on floor area\n", - "2024-05-14 18:29:48,379 - acbm.assigning - DEBUG - Activity 203735: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,381 - acbm.assigning - DEBUG - Activity 203735: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,381 - acbm.assigning - DEBUG - Activity 203735: sampling based on floor area\n", - "2024-05-14 18:29:48,382 - acbm.assigning - DEBUG - Activity 203737: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,385 - acbm.assigning - DEBUG - Activity 203737: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,385 - acbm.assigning - DEBUG - Activity 203737: sampling based on floor area\n", - "2024-05-14 18:29:48,387 - acbm.assigning - DEBUG - Activity 203740: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,388 - acbm.assigning - DEBUG - Activity 203740: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,389 - acbm.assigning - DEBUG - Activity 203740: sampling based on floor area\n", - "2024-05-14 18:29:48,390 - acbm.assigning - DEBUG - Activity 203744: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,393 - acbm.assigning - DEBUG - Activity 203744: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,393 - acbm.assigning - DEBUG - Activity 203744: sampling based on floor area\n", - "2024-05-14 18:29:48,394 - acbm.assigning - DEBUG - Activity 203758: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,396 - acbm.assigning - DEBUG - Activity 203758: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,397 - acbm.assigning - DEBUG - Activity 203758: sampling based on floor area\n", - "2024-05-14 18:29:48,398 - acbm.assigning - DEBUG - Activity 203761: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,400 - acbm.assigning - DEBUG - Activity 203761: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,401 - acbm.assigning - DEBUG - Activity 203761: sampling based on floor area\n", - "2024-05-14 18:29:48,402 - acbm.assigning - DEBUG - Activity 203765: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,404 - acbm.assigning - DEBUG - Activity 203765: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,405 - acbm.assigning - DEBUG - Activity 203765: sampling based on floor area\n", - "2024-05-14 18:29:48,406 - acbm.assigning - DEBUG - Activity 203766: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,408 - acbm.assigning - DEBUG - Activity 203766: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,409 - acbm.assigning - DEBUG - Activity 203766: sampling based on floor area\n", - "2024-05-14 18:29:48,410 - acbm.assigning - DEBUG - Activity 203768: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,412 - acbm.assigning - DEBUG - Activity 203768: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,413 - acbm.assigning - DEBUG - Activity 203768: sampling based on floor area\n", - "2024-05-14 18:29:48,414 - acbm.assigning - DEBUG - Activity 203962: Initial number of options for activity = 19\n", - "2024-05-14 18:29:48,417 - acbm.assigning - DEBUG - Activity 203962: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:48,418 - acbm.assigning - DEBUG - Activity 203962: sampling based on floor area\n", - "2024-05-14 18:29:48,419 - acbm.assigning - DEBUG - Activity 203976: Initial number of options for activity = 19\n", - "2024-05-14 18:29:48,421 - acbm.assigning - DEBUG - Activity 203976: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:48,422 - acbm.assigning - DEBUG - Activity 203976: sampling based on floor area\n", - "2024-05-14 18:29:48,423 - acbm.assigning - DEBUG - Activity 203982: Initial number of options for activity = 28\n", - "2024-05-14 18:29:48,426 - acbm.assigning - DEBUG - Activity 203982: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:48,427 - acbm.assigning - DEBUG - Activity 203982: sampling based on floor area\n", - "2024-05-14 18:29:48,428 - acbm.assigning - DEBUG - Activity 203985: Initial number of options for activity = 28\n", - "2024-05-14 18:29:48,431 - acbm.assigning - DEBUG - Activity 203985: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:48,432 - acbm.assigning - DEBUG - Activity 203985: sampling based on floor area\n", - "2024-05-14 18:29:48,433 - acbm.assigning - DEBUG - Activity 204001: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,435 - acbm.assigning - DEBUG - Activity 204001: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,436 - acbm.assigning - DEBUG - Activity 204001: sampling based on floor area\n", - "2024-05-14 18:29:48,437 - acbm.assigning - DEBUG - Activity 204088: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,439 - acbm.assigning - DEBUG - Activity 204088: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,439 - acbm.assigning - DEBUG - Activity 204088: sampling based on floor area\n", - "2024-05-14 18:29:48,440 - acbm.assigning - DEBUG - Activity 204089: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,442 - acbm.assigning - DEBUG - Activity 204089: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,443 - acbm.assigning - DEBUG - Activity 204089: sampling based on floor area\n", - "2024-05-14 18:29:48,444 - acbm.assigning - DEBUG - Activity 204090: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,445 - acbm.assigning - DEBUG - Activity 204090: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,446 - acbm.assigning - DEBUG - Activity 204090: sampling based on floor area\n", - "2024-05-14 18:29:48,447 - acbm.assigning - DEBUG - Activity 204091: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,449 - acbm.assigning - DEBUG - Activity 204091: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,450 - acbm.assigning - DEBUG - Activity 204091: sampling based on floor area\n", - "2024-05-14 18:29:48,451 - acbm.assigning - DEBUG - Activity 204092: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,453 - acbm.assigning - DEBUG - Activity 204092: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,454 - acbm.assigning - DEBUG - Activity 204092: sampling based on floor area\n", - "2024-05-14 18:29:48,455 - acbm.assigning - DEBUG - Activity 204093: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,458 - acbm.assigning - DEBUG - Activity 204093: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,459 - acbm.assigning - DEBUG - Activity 204093: sampling based on floor area\n", - "2024-05-14 18:29:48,460 - acbm.assigning - DEBUG - Activity 204094: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,462 - acbm.assigning - DEBUG - Activity 204094: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,463 - acbm.assigning - DEBUG - Activity 204094: sampling based on floor area\n", - "2024-05-14 18:29:48,465 - acbm.assigning - DEBUG - Activity 204142: Initial number of options for activity = 55\n", - "2024-05-14 18:29:48,467 - acbm.assigning - DEBUG - Activity 204142: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:48,467 - acbm.assigning - DEBUG - Activity 204142: sampling based on floor area\n", - "2024-05-14 18:29:48,469 - acbm.assigning - DEBUG - Activity 204144: Initial number of options for activity = 55\n", - "2024-05-14 18:29:48,471 - acbm.assigning - DEBUG - Activity 204144: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:48,472 - acbm.assigning - DEBUG - Activity 204144: sampling based on floor area\n", - "2024-05-14 18:29:48,473 - acbm.assigning - DEBUG - Activity 204153: Initial number of options for activity = 55\n", - "2024-05-14 18:29:48,475 - acbm.assigning - DEBUG - Activity 204153: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:48,477 - acbm.assigning - DEBUG - Activity 204153: sampling based on floor area\n", - "2024-05-14 18:29:48,478 - acbm.assigning - DEBUG - Activity 204155: Initial number of options for activity = 55\n", - "2024-05-14 18:29:48,480 - acbm.assigning - DEBUG - Activity 204155: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:48,482 - acbm.assigning - DEBUG - Activity 204155: sampling based on floor area\n", - "2024-05-14 18:29:48,483 - acbm.assigning - DEBUG - Activity 204160: Initial number of options for activity = 55\n", - "2024-05-14 18:29:48,486 - acbm.assigning - DEBUG - Activity 204160: Number of options after filtering by education type: 55\n", - "2024-05-14 18:29:48,487 - acbm.assigning - DEBUG - Activity 204160: sampling based on floor area\n", - "2024-05-14 18:29:48,488 - acbm.assigning - DEBUG - Activity 204228: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,490 - acbm.assigning - DEBUG - Activity 204228: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,491 - acbm.assigning - DEBUG - Activity 204228: sampling based on floor area\n", - "2024-05-14 18:29:48,492 - acbm.assigning - DEBUG - Activity 204230: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,493 - acbm.assigning - DEBUG - Activity 204230: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,493 - acbm.assigning - DEBUG - Activity 204230: sampling based on floor area\n", - "2024-05-14 18:29:48,494 - acbm.assigning - DEBUG - Activity 204239: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,496 - acbm.assigning - DEBUG - Activity 204239: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,497 - acbm.assigning - DEBUG - Activity 204239: sampling based on floor area\n", - "2024-05-14 18:29:48,498 - acbm.assigning - DEBUG - Activity 204241: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,500 - acbm.assigning - DEBUG - Activity 204241: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,502 - acbm.assigning - DEBUG - Activity 204241: sampling based on floor area\n", - "2024-05-14 18:29:48,504 - acbm.assigning - DEBUG - Activity 204329: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,506 - acbm.assigning - DEBUG - Activity 204329: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,507 - acbm.assigning - DEBUG - Activity 204329: sampling based on floor area\n", - "2024-05-14 18:29:48,509 - acbm.assigning - DEBUG - Activity 204331: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,511 - acbm.assigning - DEBUG - Activity 204331: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,511 - acbm.assigning - DEBUG - Activity 204331: sampling based on floor area\n", - "2024-05-14 18:29:48,512 - acbm.assigning - DEBUG - Activity 204333: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,514 - acbm.assigning - DEBUG - Activity 204333: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,515 - acbm.assigning - DEBUG - Activity 204333: sampling based on floor area\n", - "2024-05-14 18:29:48,516 - acbm.assigning - DEBUG - Activity 204337: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,518 - acbm.assigning - DEBUG - Activity 204337: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,519 - acbm.assigning - DEBUG - Activity 204337: sampling based on floor area\n", - "2024-05-14 18:29:48,520 - acbm.assigning - DEBUG - Activity 204341: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,523 - acbm.assigning - DEBUG - Activity 204341: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,524 - acbm.assigning - DEBUG - Activity 204341: sampling based on floor area\n", - "2024-05-14 18:29:48,525 - acbm.assigning - DEBUG - Activity 204345: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,527 - acbm.assigning - DEBUG - Activity 204345: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,527 - acbm.assigning - DEBUG - Activity 204345: sampling based on floor area\n", - "2024-05-14 18:29:48,528 - acbm.assigning - DEBUG - Activity 204347: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,530 - acbm.assigning - DEBUG - Activity 204347: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,531 - acbm.assigning - DEBUG - Activity 204347: sampling based on floor area\n", - "2024-05-14 18:29:48,532 - acbm.assigning - DEBUG - Activity 204349: Initial number of options for activity = 150\n", - "2024-05-14 18:29:48,534 - acbm.assigning - DEBUG - Activity 204349: Number of options after filtering by education type: 150\n", - "2024-05-14 18:29:48,535 - acbm.assigning - DEBUG - Activity 204349: sampling based on floor area\n", - "2024-05-14 18:29:48,536 - acbm.assigning - DEBUG - Activity 204404: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,539 - acbm.assigning - DEBUG - Activity 204404: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,539 - acbm.assigning - DEBUG - Activity 204404: sampling based on floor area\n", - "2024-05-14 18:29:48,540 - acbm.assigning - DEBUG - Activity 204406: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,542 - acbm.assigning - DEBUG - Activity 204406: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,543 - acbm.assigning - DEBUG - Activity 204406: sampling based on floor area\n", - "2024-05-14 18:29:48,544 - acbm.assigning - DEBUG - Activity 204415: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,546 - acbm.assigning - DEBUG - Activity 204415: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,546 - acbm.assigning - DEBUG - Activity 204415: sampling based on floor area\n", - "2024-05-14 18:29:48,547 - acbm.assigning - DEBUG - Activity 204417: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,550 - acbm.assigning - DEBUG - Activity 204417: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,550 - acbm.assigning - DEBUG - Activity 204417: sampling based on floor area\n", - "2024-05-14 18:29:48,552 - acbm.assigning - DEBUG - Activity 204466: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,554 - acbm.assigning - DEBUG - Activity 204466: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,555 - acbm.assigning - DEBUG - Activity 204466: sampling based on floor area\n", - "2024-05-14 18:29:48,556 - acbm.assigning - DEBUG - Activity 204468: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,558 - acbm.assigning - DEBUG - Activity 204468: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,559 - acbm.assigning - DEBUG - Activity 204468: sampling based on floor area\n", - "2024-05-14 18:29:48,560 - acbm.assigning - DEBUG - Activity 204470: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,561 - acbm.assigning - DEBUG - Activity 204470: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,562 - acbm.assigning - DEBUG - Activity 204470: sampling based on floor area\n", - "2024-05-14 18:29:48,563 - acbm.assigning - DEBUG - Activity 204472: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,564 - acbm.assigning - DEBUG - Activity 204472: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,565 - acbm.assigning - DEBUG - Activity 204472: sampling based on floor area\n", - "2024-05-14 18:29:48,566 - acbm.assigning - DEBUG - Activity 204474: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,568 - acbm.assigning - DEBUG - Activity 204474: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,569 - acbm.assigning - DEBUG - Activity 204474: sampling based on floor area\n", - "2024-05-14 18:29:48,571 - acbm.assigning - DEBUG - Activity 204476: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,573 - acbm.assigning - DEBUG - Activity 204476: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,574 - acbm.assigning - DEBUG - Activity 204476: sampling based on floor area\n", - "2024-05-14 18:29:48,575 - acbm.assigning - DEBUG - Activity 204478: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,577 - acbm.assigning - DEBUG - Activity 204478: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,578 - acbm.assigning - DEBUG - Activity 204478: sampling based on floor area\n", - "2024-05-14 18:29:48,579 - acbm.assigning - DEBUG - Activity 204488: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,581 - acbm.assigning - DEBUG - Activity 204488: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,582 - acbm.assigning - DEBUG - Activity 204488: sampling based on floor area\n", - "2024-05-14 18:29:48,584 - acbm.assigning - DEBUG - Activity 204490: Initial number of options for activity = 60\n", - "2024-05-14 18:29:48,586 - acbm.assigning - DEBUG - Activity 204490: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:48,587 - acbm.assigning - DEBUG - Activity 204490: sampling based on floor area\n", - "2024-05-14 18:29:48,588 - acbm.assigning - DEBUG - Activity 204555: Initial number of options for activity = 23\n", - "2024-05-14 18:29:48,591 - acbm.assigning - DEBUG - Activity 204555: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:48,591 - acbm.assigning - DEBUG - Activity 204555: sampling based on floor area\n", - "2024-05-14 18:29:48,593 - acbm.assigning - INFO - Activity 204679: No zones available\n", - "2024-05-14 18:29:48,593 - acbm.assigning - DEBUG - Activity 204846: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,594 - acbm.assigning - DEBUG - Activity 204846: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,595 - acbm.assigning - DEBUG - Activity 204846: sampling based on floor area\n", - "2024-05-14 18:29:48,596 - acbm.assigning - DEBUG - Activity 204849: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,598 - acbm.assigning - DEBUG - Activity 204849: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,598 - acbm.assigning - DEBUG - Activity 204849: sampling based on floor area\n", - "2024-05-14 18:29:48,599 - acbm.assigning - DEBUG - Activity 204886: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,602 - acbm.assigning - DEBUG - Activity 204886: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,603 - acbm.assigning - DEBUG - Activity 204886: sampling based on floor area\n", - "2024-05-14 18:29:48,604 - acbm.assigning - DEBUG - Activity 204889: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,606 - acbm.assigning - DEBUG - Activity 204889: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,607 - acbm.assigning - DEBUG - Activity 204889: sampling based on floor area\n", - "2024-05-14 18:29:48,608 - acbm.assigning - DEBUG - Activity 205002: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,610 - acbm.assigning - DEBUG - Activity 205002: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,611 - acbm.assigning - DEBUG - Activity 205002: sampling based on floor area\n", - "2024-05-14 18:29:48,612 - acbm.assigning - DEBUG - Activity 205004: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,614 - acbm.assigning - DEBUG - Activity 205004: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,614 - acbm.assigning - DEBUG - Activity 205004: sampling based on floor area\n", - "2024-05-14 18:29:48,616 - acbm.assigning - DEBUG - Activity 205006: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,617 - acbm.assigning - DEBUG - Activity 205006: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,618 - acbm.assigning - DEBUG - Activity 205006: sampling based on floor area\n", - "2024-05-14 18:29:48,620 - acbm.assigning - DEBUG - Activity 205008: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,622 - acbm.assigning - DEBUG - Activity 205008: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,623 - acbm.assigning - DEBUG - Activity 205008: sampling based on floor area\n", - "2024-05-14 18:29:48,624 - acbm.assigning - DEBUG - Activity 205010: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,625 - acbm.assigning - DEBUG - Activity 205010: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,626 - acbm.assigning - DEBUG - Activity 205010: sampling based on floor area\n", - "2024-05-14 18:29:48,627 - acbm.assigning - DEBUG - Activity 205012: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,629 - acbm.assigning - DEBUG - Activity 205012: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,629 - acbm.assigning - DEBUG - Activity 205012: sampling based on floor area\n", - "2024-05-14 18:29:48,630 - acbm.assigning - INFO - Activity 205014: No zones available\n", - "2024-05-14 18:29:48,631 - acbm.assigning - INFO - Activity 205016: No zones available\n", - "2024-05-14 18:29:48,632 - acbm.assigning - INFO - Activity 205018: No zones available\n", - "2024-05-14 18:29:48,632 - acbm.assigning - INFO - Activity 205020: No zones available\n", - "2024-05-14 18:29:48,633 - acbm.assigning - INFO - Activity 205022: No zones available\n", - "2024-05-14 18:29:48,634 - acbm.assigning - DEBUG - Activity 205132: Initial number of options for activity = 103\n", - "2024-05-14 18:29:48,636 - acbm.assigning - DEBUG - Activity 205132: Number of options after filtering by education type: 103\n", - "2024-05-14 18:29:48,637 - acbm.assigning - DEBUG - Activity 205132: sampling based on floor area\n", - "2024-05-14 18:29:48,639 - acbm.assigning - DEBUG - Activity 205138: Initial number of options for activity = 166\n", - "2024-05-14 18:29:48,641 - acbm.assigning - DEBUG - Activity 205138: Number of options after filtering by education type: 166\n", - "2024-05-14 18:29:48,642 - acbm.assigning - DEBUG - Activity 205138: sampling based on floor area\n", - "2024-05-14 18:29:48,643 - acbm.assigning - DEBUG - Activity 205140: Initial number of options for activity = 166\n", - "2024-05-14 18:29:48,645 - acbm.assigning - DEBUG - Activity 205140: Number of options after filtering by education type: 166\n", - "2024-05-14 18:29:48,645 - acbm.assigning - DEBUG - Activity 205140: sampling based on floor area\n", - "2024-05-14 18:29:48,646 - acbm.assigning - DEBUG - Activity 205166: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,649 - acbm.assigning - DEBUG - Activity 205166: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,649 - acbm.assigning - DEBUG - Activity 205166: sampling based on floor area\n", - "2024-05-14 18:29:48,651 - acbm.assigning - DEBUG - Activity 205167: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,653 - acbm.assigning - DEBUG - Activity 205167: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,654 - acbm.assigning - DEBUG - Activity 205167: sampling based on floor area\n", - "2024-05-14 18:29:48,656 - acbm.assigning - DEBUG - Activity 205168: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,658 - acbm.assigning - DEBUG - Activity 205168: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,658 - acbm.assigning - DEBUG - Activity 205168: sampling based on floor area\n", - "2024-05-14 18:29:48,659 - acbm.assigning - DEBUG - Activity 205175: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,661 - acbm.assigning - DEBUG - Activity 205175: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,662 - acbm.assigning - DEBUG - Activity 205175: sampling based on floor area\n", - "2024-05-14 18:29:48,663 - acbm.assigning - DEBUG - Activity 205176: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,664 - acbm.assigning - DEBUG - Activity 205176: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,665 - acbm.assigning - DEBUG - Activity 205176: sampling based on floor area\n", - "2024-05-14 18:29:48,666 - acbm.assigning - DEBUG - Activity 205233: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,668 - acbm.assigning - DEBUG - Activity 205233: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,669 - acbm.assigning - DEBUG - Activity 205233: sampling based on floor area\n", - "2024-05-14 18:29:48,670 - acbm.assigning - DEBUG - Activity 205234: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,673 - acbm.assigning - DEBUG - Activity 205234: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,674 - acbm.assigning - DEBUG - Activity 205234: sampling based on floor area\n", - "2024-05-14 18:29:48,675 - acbm.assigning - DEBUG - Activity 205235: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,677 - acbm.assigning - DEBUG - Activity 205235: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,678 - acbm.assigning - DEBUG - Activity 205235: sampling based on floor area\n", - "2024-05-14 18:29:48,679 - acbm.assigning - DEBUG - Activity 205242: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,680 - acbm.assigning - DEBUG - Activity 205242: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,681 - acbm.assigning - DEBUG - Activity 205242: sampling based on floor area\n", - "2024-05-14 18:29:48,682 - acbm.assigning - DEBUG - Activity 205243: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,685 - acbm.assigning - DEBUG - Activity 205243: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,686 - acbm.assigning - DEBUG - Activity 205243: sampling based on floor area\n", - "2024-05-14 18:29:48,687 - acbm.assigning - DEBUG - Activity 205270: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,690 - acbm.assigning - DEBUG - Activity 205270: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,691 - acbm.assigning - DEBUG - Activity 205270: sampling based on floor area\n", - "2024-05-14 18:29:48,692 - acbm.assigning - DEBUG - Activity 205272: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,694 - acbm.assigning - DEBUG - Activity 205272: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,695 - acbm.assigning - DEBUG - Activity 205272: sampling based on floor area\n", - "2024-05-14 18:29:48,696 - acbm.assigning - DEBUG - Activity 205274: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,699 - acbm.assigning - DEBUG - Activity 205274: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,700 - acbm.assigning - DEBUG - Activity 205274: sampling based on floor area\n", - "2024-05-14 18:29:48,701 - acbm.assigning - DEBUG - Activity 205276: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,703 - acbm.assigning - DEBUG - Activity 205276: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,704 - acbm.assigning - DEBUG - Activity 205276: sampling based on floor area\n", - "2024-05-14 18:29:48,706 - acbm.assigning - DEBUG - Activity 205278: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,708 - acbm.assigning - DEBUG - Activity 205278: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,709 - acbm.assigning - DEBUG - Activity 205278: sampling based on floor area\n", - "2024-05-14 18:29:48,711 - acbm.assigning - DEBUG - Activity 205361: Initial number of options for activity = 12\n", - "2024-05-14 18:29:48,713 - acbm.assigning - DEBUG - Activity 205361: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:48,714 - acbm.assigning - DEBUG - Activity 205361: sampling based on floor area\n", - "2024-05-14 18:29:48,716 - acbm.assigning - DEBUG - Activity 205365: Initial number of options for activity = 11\n", - "2024-05-14 18:29:48,718 - acbm.assigning - DEBUG - Activity 205365: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:48,719 - acbm.assigning - DEBUG - Activity 205365: sampling based on floor area\n", - "2024-05-14 18:29:48,721 - acbm.assigning - DEBUG - Activity 205366: Initial number of options for activity = 11\n", - "2024-05-14 18:29:48,723 - acbm.assigning - DEBUG - Activity 205366: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:48,724 - acbm.assigning - DEBUG - Activity 205366: sampling based on floor area\n", - "2024-05-14 18:29:48,725 - acbm.assigning - DEBUG - Activity 205367: Initial number of options for activity = 12\n", - "2024-05-14 18:29:48,727 - acbm.assigning - DEBUG - Activity 205367: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:48,728 - acbm.assigning - DEBUG - Activity 205367: sampling based on floor area\n", - "2024-05-14 18:29:48,729 - acbm.assigning - DEBUG - Activity 205368: Initial number of options for activity = 12\n", - "2024-05-14 18:29:48,731 - acbm.assigning - DEBUG - Activity 205368: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:48,733 - acbm.assigning - DEBUG - Activity 205368: sampling based on floor area\n", - "2024-05-14 18:29:48,734 - acbm.assigning - DEBUG - Activity 205417: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,737 - acbm.assigning - DEBUG - Activity 205417: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,738 - acbm.assigning - DEBUG - Activity 205417: sampling based on floor area\n", - "2024-05-14 18:29:48,739 - acbm.assigning - DEBUG - Activity 205418: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,742 - acbm.assigning - DEBUG - Activity 205418: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,743 - acbm.assigning - DEBUG - Activity 205418: sampling based on floor area\n", - "2024-05-14 18:29:48,744 - acbm.assigning - DEBUG - Activity 205419: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,746 - acbm.assigning - DEBUG - Activity 205419: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,747 - acbm.assigning - DEBUG - Activity 205419: sampling based on floor area\n", - "2024-05-14 18:29:48,748 - acbm.assigning - DEBUG - Activity 205469: Initial number of options for activity = 16\n", - "2024-05-14 18:29:48,750 - acbm.assigning - DEBUG - Activity 205469: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:48,751 - acbm.assigning - DEBUG - Activity 205469: sampling based on floor area\n", - "2024-05-14 18:29:48,752 - acbm.assigning - DEBUG - Activity 205470: Initial number of options for activity = 16\n", - "2024-05-14 18:29:48,754 - acbm.assigning - DEBUG - Activity 205470: Number of options after filtering by education type: 16\n", - "2024-05-14 18:29:48,754 - acbm.assigning - DEBUG - Activity 205470: sampling based on floor area\n", - "2024-05-14 18:29:48,756 - acbm.assigning - DEBUG - Activity 205473: Initial number of options for activity = 122\n", - "2024-05-14 18:29:48,758 - acbm.assigning - DEBUG - Activity 205473: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:48,759 - acbm.assigning - DEBUG - Activity 205473: sampling based on floor area\n", - "2024-05-14 18:29:48,760 - acbm.assigning - DEBUG - Activity 205476: Initial number of options for activity = 85\n", - "2024-05-14 18:29:48,763 - acbm.assigning - DEBUG - Activity 205476: Number of options after filtering by education type: 85\n", - "2024-05-14 18:29:48,765 - acbm.assigning - DEBUG - Activity 205476: sampling based on floor area\n", - "2024-05-14 18:29:48,766 - acbm.assigning - DEBUG - Activity 205477: Initial number of options for activity = 22\n", - "2024-05-14 18:29:48,769 - acbm.assigning - DEBUG - Activity 205477: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:48,770 - acbm.assigning - DEBUG - Activity 205477: sampling based on floor area\n", - "2024-05-14 18:29:48,772 - acbm.assigning - DEBUG - Activity 205478: Initial number of options for activity = 3\n", - "2024-05-14 18:29:48,775 - acbm.assigning - DEBUG - Activity 205478: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:48,775 - acbm.assigning - DEBUG - Activity 205478: sampling based on floor area\n", - "2024-05-14 18:29:48,776 - acbm.assigning - DEBUG - Activity 205481: Initial number of options for activity = 60\n", - "2024-05-14 18:29:48,779 - acbm.assigning - DEBUG - Activity 205481: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:48,780 - acbm.assigning - DEBUG - Activity 205481: sampling based on floor area\n", - "2024-05-14 18:29:48,781 - acbm.assigning - DEBUG - Activity 205602: Initial number of options for activity = 68\n", - "2024-05-14 18:29:48,784 - acbm.assigning - DEBUG - Activity 205602: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:48,785 - acbm.assigning - DEBUG - Activity 205602: sampling based on floor area\n", - "2024-05-14 18:29:48,786 - acbm.assigning - DEBUG - Activity 205604: Initial number of options for activity = 68\n", - "2024-05-14 18:29:48,788 - acbm.assigning - DEBUG - Activity 205604: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:48,789 - acbm.assigning - DEBUG - Activity 205604: sampling based on floor area\n", - "2024-05-14 18:29:48,790 - acbm.assigning - DEBUG - Activity 205606: Initial number of options for activity = 68\n", - "2024-05-14 18:29:48,791 - acbm.assigning - DEBUG - Activity 205606: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:48,792 - acbm.assigning - DEBUG - Activity 205606: sampling based on floor area\n", - "2024-05-14 18:29:48,793 - acbm.assigning - DEBUG - Activity 205608: Initial number of options for activity = 68\n", - "2024-05-14 18:29:48,796 - acbm.assigning - DEBUG - Activity 205608: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:48,797 - acbm.assigning - DEBUG - Activity 205608: sampling based on floor area\n", - "2024-05-14 18:29:48,798 - acbm.assigning - DEBUG - Activity 205612: Initial number of options for activity = 68\n", - "2024-05-14 18:29:48,800 - acbm.assigning - DEBUG - Activity 205612: Number of options after filtering by education type: 68\n", - "2024-05-14 18:29:48,801 - acbm.assigning - DEBUG - Activity 205612: sampling based on floor area\n", - "2024-05-14 18:29:48,803 - acbm.assigning - INFO - Activity 205673: No zones available\n", - "2024-05-14 18:29:48,803 - acbm.assigning - DEBUG - Activity 205675: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,806 - acbm.assigning - DEBUG - Activity 205675: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,806 - acbm.assigning - DEBUG - Activity 205675: sampling based on floor area\n", - "2024-05-14 18:29:48,807 - acbm.assigning - DEBUG - Activity 205721: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,810 - acbm.assigning - DEBUG - Activity 205721: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,810 - acbm.assigning - DEBUG - Activity 205721: sampling based on floor area\n", - "2024-05-14 18:29:48,811 - acbm.assigning - DEBUG - Activity 205722: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,813 - acbm.assigning - DEBUG - Activity 205722: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,813 - acbm.assigning - DEBUG - Activity 205722: sampling based on floor area\n", - "2024-05-14 18:29:48,815 - acbm.assigning - DEBUG - Activity 205723: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,817 - acbm.assigning - DEBUG - Activity 205723: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,818 - acbm.assigning - DEBUG - Activity 205723: sampling based on floor area\n", - "2024-05-14 18:29:48,819 - acbm.assigning - DEBUG - Activity 205727: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,821 - acbm.assigning - DEBUG - Activity 205727: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,822 - acbm.assigning - DEBUG - Activity 205727: sampling based on floor area\n", - "2024-05-14 18:29:48,823 - acbm.assigning - DEBUG - Activity 205730: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,824 - acbm.assigning - DEBUG - Activity 205730: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,825 - acbm.assigning - DEBUG - Activity 205730: sampling based on floor area\n", - "2024-05-14 18:29:48,826 - acbm.assigning - DEBUG - Activity 205740: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,828 - acbm.assigning - DEBUG - Activity 205740: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,829 - acbm.assigning - DEBUG - Activity 205740: sampling based on floor area\n", - "2024-05-14 18:29:48,830 - acbm.assigning - DEBUG - Activity 205744: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,832 - acbm.assigning - DEBUG - Activity 205744: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,832 - acbm.assigning - DEBUG - Activity 205744: sampling based on floor area\n", - "2024-05-14 18:29:48,833 - acbm.assigning - DEBUG - Activity 205745: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,836 - acbm.assigning - DEBUG - Activity 205745: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,836 - acbm.assigning - DEBUG - Activity 205745: sampling based on floor area\n", - "2024-05-14 18:29:48,838 - acbm.assigning - DEBUG - Activity 205746: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,840 - acbm.assigning - DEBUG - Activity 205746: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,841 - acbm.assigning - DEBUG - Activity 205746: sampling based on floor area\n", - "2024-05-14 18:29:48,842 - acbm.assigning - DEBUG - Activity 205749: Initial number of options for activity = 34\n", - "2024-05-14 18:29:48,844 - acbm.assigning - DEBUG - Activity 205749: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:48,844 - acbm.assigning - DEBUG - Activity 205749: sampling based on floor area\n", - "2024-05-14 18:29:48,845 - acbm.assigning - DEBUG - Activity 205816: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,847 - acbm.assigning - DEBUG - Activity 205816: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,847 - acbm.assigning - DEBUG - Activity 205816: sampling based on floor area\n", - "2024-05-14 18:29:48,848 - acbm.assigning - DEBUG - Activity 205822: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,850 - acbm.assigning - DEBUG - Activity 205822: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,851 - acbm.assigning - DEBUG - Activity 205822: sampling based on floor area\n", - "2024-05-14 18:29:48,852 - acbm.assigning - INFO - Activity 205933: No zones available\n", - "2024-05-14 18:29:48,852 - acbm.assigning - INFO - Activity 205935: No zones available\n", - "2024-05-14 18:29:48,853 - acbm.assigning - INFO - Activity 205939: No zones available\n", - "2024-05-14 18:29:48,853 - acbm.assigning - INFO - Activity 205941: No zones available\n", - "2024-05-14 18:29:48,854 - acbm.assigning - INFO - Activity 205943: No zones available\n", - "2024-05-14 18:29:48,854 - acbm.assigning - DEBUG - Activity 206154: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,856 - acbm.assigning - DEBUG - Activity 206154: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,857 - acbm.assigning - DEBUG - Activity 206154: sampling based on floor area\n", - "2024-05-14 18:29:48,858 - acbm.assigning - DEBUG - Activity 206156: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,859 - acbm.assigning - DEBUG - Activity 206156: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,860 - acbm.assigning - DEBUG - Activity 206156: sampling based on floor area\n", - "2024-05-14 18:29:48,861 - acbm.assigning - DEBUG - Activity 206158: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,863 - acbm.assigning - DEBUG - Activity 206158: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,863 - acbm.assigning - DEBUG - Activity 206158: sampling based on floor area\n", - "2024-05-14 18:29:48,864 - acbm.assigning - DEBUG - Activity 206162: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,866 - acbm.assigning - DEBUG - Activity 206162: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,866 - acbm.assigning - DEBUG - Activity 206162: sampling based on floor area\n", - "2024-05-14 18:29:48,867 - acbm.assigning - DEBUG - Activity 206165: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,869 - acbm.assigning - DEBUG - Activity 206165: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,870 - acbm.assigning - DEBUG - Activity 206165: sampling based on floor area\n", - "2024-05-14 18:29:48,872 - acbm.assigning - INFO - Activity 206189: No zones available\n", - "2024-05-14 18:29:48,872 - acbm.assigning - INFO - Activity 206191: No zones available\n", - "2024-05-14 18:29:48,872 - acbm.assigning - INFO - Activity 206193: No zones available\n", - "2024-05-14 18:29:48,873 - acbm.assigning - INFO - Activity 206195: No zones available\n", - "2024-05-14 18:29:48,873 - acbm.assigning - DEBUG - Activity 206215: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,875 - acbm.assigning - DEBUG - Activity 206215: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,876 - acbm.assigning - DEBUG - Activity 206215: sampling based on floor area\n", - "2024-05-14 18:29:48,877 - acbm.assigning - DEBUG - Activity 206352: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,878 - acbm.assigning - DEBUG - Activity 206352: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,879 - acbm.assigning - DEBUG - Activity 206352: sampling based on floor area\n", - "2024-05-14 18:29:48,880 - acbm.assigning - DEBUG - Activity 206356: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,882 - acbm.assigning - DEBUG - Activity 206356: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,883 - acbm.assigning - DEBUG - Activity 206356: sampling based on floor area\n", - "2024-05-14 18:29:48,884 - acbm.assigning - DEBUG - Activity 206358: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,886 - acbm.assigning - DEBUG - Activity 206358: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,886 - acbm.assigning - DEBUG - Activity 206358: sampling based on floor area\n", - "2024-05-14 18:29:48,887 - acbm.assigning - DEBUG - Activity 206360: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,889 - acbm.assigning - DEBUG - Activity 206360: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,890 - acbm.assigning - DEBUG - Activity 206360: sampling based on floor area\n", - "2024-05-14 18:29:48,891 - acbm.assigning - DEBUG - Activity 206362: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,893 - acbm.assigning - DEBUG - Activity 206362: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,894 - acbm.assigning - DEBUG - Activity 206362: sampling based on floor area\n", - "2024-05-14 18:29:48,894 - acbm.assigning - DEBUG - Activity 206466: Initial number of options for activity = 14\n", - "2024-05-14 18:29:48,896 - acbm.assigning - DEBUG - Activity 206466: Number of options after filtering by education type: 14\n", - "2024-05-14 18:29:48,897 - acbm.assigning - DEBUG - Activity 206466: sampling based on floor area\n", - "2024-05-14 18:29:48,898 - acbm.assigning - DEBUG - Activity 206468: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,900 - acbm.assigning - DEBUG - Activity 206468: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,901 - acbm.assigning - DEBUG - Activity 206468: sampling based on floor area\n", - "2024-05-14 18:29:48,903 - acbm.assigning - DEBUG - Activity 206470: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,904 - acbm.assigning - DEBUG - Activity 206470: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,905 - acbm.assigning - DEBUG - Activity 206470: sampling based on floor area\n", - "2024-05-14 18:29:48,907 - acbm.assigning - DEBUG - Activity 206472: Initial number of options for activity = 1\n", - "2024-05-14 18:29:48,909 - acbm.assigning - DEBUG - Activity 206472: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:48,910 - acbm.assigning - DEBUG - Activity 206472: sampling based on floor area\n", - "2024-05-14 18:29:48,911 - acbm.assigning - INFO - Activity 206674: No zones available\n", - "2024-05-14 18:29:48,911 - acbm.assigning - INFO - Activity 206676: No zones available\n", - "2024-05-14 18:29:48,912 - acbm.assigning - INFO - Activity 206678: No zones available\n", - "2024-05-14 18:29:48,912 - acbm.assigning - INFO - Activity 206680: No zones available\n", - "2024-05-14 18:29:48,913 - acbm.assigning - DEBUG - Activity 206758: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,914 - acbm.assigning - DEBUG - Activity 206758: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,915 - acbm.assigning - DEBUG - Activity 206758: sampling based on floor area\n", - "2024-05-14 18:29:48,916 - acbm.assigning - DEBUG - Activity 206760: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,918 - acbm.assigning - DEBUG - Activity 206760: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,919 - acbm.assigning - DEBUG - Activity 206760: sampling based on floor area\n", - "2024-05-14 18:29:48,920 - acbm.assigning - DEBUG - Activity 206761: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,921 - acbm.assigning - DEBUG - Activity 206761: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,922 - acbm.assigning - DEBUG - Activity 206761: sampling based on floor area\n", - "2024-05-14 18:29:48,923 - acbm.assigning - DEBUG - Activity 206762: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,925 - acbm.assigning - DEBUG - Activity 206762: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,926 - acbm.assigning - DEBUG - Activity 206762: sampling based on floor area\n", - "2024-05-14 18:29:48,927 - acbm.assigning - DEBUG - Activity 206763: Initial number of options for activity = 4\n", - "2024-05-14 18:29:48,928 - acbm.assigning - DEBUG - Activity 206763: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:48,929 - acbm.assigning - DEBUG - Activity 206763: sampling based on floor area\n", - "2024-05-14 18:29:48,930 - acbm.assigning - DEBUG - Activity 207079: Initial number of options for activity = 144\n", - "2024-05-14 18:29:48,931 - acbm.assigning - DEBUG - Activity 207079: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:48,932 - acbm.assigning - DEBUG - Activity 207079: sampling based on floor area\n", - "2024-05-14 18:29:48,933 - acbm.assigning - DEBUG - Activity 207081: Initial number of options for activity = 144\n", - "2024-05-14 18:29:48,935 - acbm.assigning - DEBUG - Activity 207081: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:48,936 - acbm.assigning - DEBUG - Activity 207081: sampling based on floor area\n", - "2024-05-14 18:29:48,937 - acbm.assigning - DEBUG - Activity 207083: Initial number of options for activity = 144\n", - "2024-05-14 18:29:48,939 - acbm.assigning - DEBUG - Activity 207083: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:48,940 - acbm.assigning - DEBUG - Activity 207083: sampling based on floor area\n", - "2024-05-14 18:29:48,941 - acbm.assigning - DEBUG - Activity 207085: Initial number of options for activity = 144\n", - "2024-05-14 18:29:48,943 - acbm.assigning - DEBUG - Activity 207085: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:48,944 - acbm.assigning - DEBUG - Activity 207085: sampling based on floor area\n", - "2024-05-14 18:29:48,945 - acbm.assigning - DEBUG - Activity 207089: Initial number of options for activity = 144\n", - "2024-05-14 18:29:48,947 - acbm.assigning - DEBUG - Activity 207089: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:48,947 - acbm.assigning - DEBUG - Activity 207089: sampling based on floor area\n", - "2024-05-14 18:29:48,948 - acbm.assigning - DEBUG - Activity 207215: Initial number of options for activity = 6\n", - "2024-05-14 18:29:48,950 - acbm.assigning - DEBUG - Activity 207215: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:48,951 - acbm.assigning - DEBUG - Activity 207215: sampling based on floor area\n", - "2024-05-14 18:29:48,952 - acbm.assigning - INFO - Activity 207225: No zones available\n", - "2024-05-14 18:29:48,953 - acbm.assigning - DEBUG - Activity 207229: Initial number of options for activity = 2\n", - "2024-05-14 18:29:48,955 - acbm.assigning - DEBUG - Activity 207229: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:48,956 - acbm.assigning - DEBUG - Activity 207229: sampling based on floor area\n", - "2024-05-14 18:29:48,957 - acbm.assigning - DEBUG - Activity 207232: Initial number of options for activity = 10\n", - "2024-05-14 18:29:48,960 - acbm.assigning - DEBUG - Activity 207232: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:48,961 - acbm.assigning - DEBUG - Activity 207232: sampling based on floor area\n", - "2024-05-14 18:29:48,962 - acbm.assigning - DEBUG - Activity 207325: Initial number of options for activity = 28\n", - "2024-05-14 18:29:48,964 - acbm.assigning - DEBUG - Activity 207325: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:48,965 - acbm.assigning - DEBUG - Activity 207325: sampling based on floor area\n", - "2024-05-14 18:29:48,966 - acbm.assigning - DEBUG - Activity 207327: Initial number of options for activity = 28\n", - "2024-05-14 18:29:48,968 - acbm.assigning - DEBUG - Activity 207327: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:48,969 - acbm.assigning - DEBUG - Activity 207327: sampling based on floor area\n", - "2024-05-14 18:29:48,971 - acbm.assigning - DEBUG - Activity 207336: Initial number of options for activity = 28\n", - "2024-05-14 18:29:48,973 - acbm.assigning - DEBUG - Activity 207336: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:48,974 - acbm.assigning - DEBUG - Activity 207336: sampling based on floor area\n", - "2024-05-14 18:29:48,975 - acbm.assigning - DEBUG - Activity 207338: Initial number of options for activity = 28\n", - "2024-05-14 18:29:48,977 - acbm.assigning - DEBUG - Activity 207338: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:48,978 - acbm.assigning - DEBUG - Activity 207338: sampling based on floor area\n", - "2024-05-14 18:29:48,978 - acbm.assigning - DEBUG - Activity 207343: Initial number of options for activity = 28\n", - "2024-05-14 18:29:48,980 - acbm.assigning - DEBUG - Activity 207343: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:48,981 - acbm.assigning - DEBUG - Activity 207343: sampling based on floor area\n", - "2024-05-14 18:29:48,982 - acbm.assigning - DEBUG - Activity 207398: Initial number of options for activity = 73\n", - "2024-05-14 18:29:48,985 - acbm.assigning - DEBUG - Activity 207398: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:48,986 - acbm.assigning - DEBUG - Activity 207398: sampling based on floor area\n", - "2024-05-14 18:29:48,987 - acbm.assigning - DEBUG - Activity 207400: Initial number of options for activity = 73\n", - "2024-05-14 18:29:48,989 - acbm.assigning - DEBUG - Activity 207400: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:48,990 - acbm.assigning - DEBUG - Activity 207400: sampling based on floor area\n", - "2024-05-14 18:29:48,991 - acbm.assigning - DEBUG - Activity 207402: Initial number of options for activity = 73\n", - "2024-05-14 18:29:48,994 - acbm.assigning - DEBUG - Activity 207402: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:48,994 - acbm.assigning - DEBUG - Activity 207402: sampling based on floor area\n", - "2024-05-14 18:29:48,995 - acbm.assigning - DEBUG - Activity 207404: Initial number of options for activity = 73\n", - "2024-05-14 18:29:48,998 - acbm.assigning - DEBUG - Activity 207404: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:48,999 - acbm.assigning - DEBUG - Activity 207404: sampling based on floor area\n", - "2024-05-14 18:29:49,000 - acbm.assigning - DEBUG - Activity 207786: Initial number of options for activity = 95\n", - "2024-05-14 18:29:49,003 - acbm.assigning - DEBUG - Activity 207786: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:49,004 - acbm.assigning - DEBUG - Activity 207786: sampling based on floor area\n", - "2024-05-14 18:29:49,005 - acbm.assigning - DEBUG - Activity 207788: Initial number of options for activity = 154\n", - "2024-05-14 18:29:49,007 - acbm.assigning - DEBUG - Activity 207788: Number of options after filtering by education type: 154\n", - "2024-05-14 18:29:49,007 - acbm.assigning - DEBUG - Activity 207788: sampling based on floor area\n", - "2024-05-14 18:29:49,008 - acbm.assigning - DEBUG - Activity 207804: Initial number of options for activity = 38\n", - "2024-05-14 18:29:49,010 - acbm.assigning - DEBUG - Activity 207804: Number of options after filtering by education type: 38\n", - "2024-05-14 18:29:49,010 - acbm.assigning - DEBUG - Activity 207804: sampling based on floor area\n", - "2024-05-14 18:29:49,011 - acbm.assigning - DEBUG - Activity 207806: Initial number of options for activity = 52\n", - "2024-05-14 18:29:49,012 - acbm.assigning - DEBUG - Activity 207806: Number of options after filtering by education type: 52\n", - "2024-05-14 18:29:49,013 - acbm.assigning - DEBUG - Activity 207806: sampling based on floor area\n", - "2024-05-14 18:29:49,014 - acbm.assigning - DEBUG - Activity 207892: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,016 - acbm.assigning - DEBUG - Activity 207892: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,017 - acbm.assigning - DEBUG - Activity 207892: sampling based on floor area\n", - "2024-05-14 18:29:49,018 - acbm.assigning - DEBUG - Activity 207894: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,020 - acbm.assigning - DEBUG - Activity 207894: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,021 - acbm.assigning - DEBUG - Activity 207894: sampling based on floor area\n", - "2024-05-14 18:29:49,022 - acbm.assigning - DEBUG - Activity 207896: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,024 - acbm.assigning - DEBUG - Activity 207896: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,025 - acbm.assigning - DEBUG - Activity 207896: sampling based on floor area\n", - "2024-05-14 18:29:49,026 - acbm.assigning - DEBUG - Activity 207898: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,028 - acbm.assigning - DEBUG - Activity 207898: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,029 - acbm.assigning - DEBUG - Activity 207898: sampling based on floor area\n", - "2024-05-14 18:29:49,030 - acbm.assigning - DEBUG - Activity 207936: Initial number of options for activity = 82\n", - "2024-05-14 18:29:49,032 - acbm.assigning - DEBUG - Activity 207936: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:49,033 - acbm.assigning - DEBUG - Activity 207936: sampling based on floor area\n", - "2024-05-14 18:29:49,034 - acbm.assigning - DEBUG - Activity 207938: Initial number of options for activity = 82\n", - "2024-05-14 18:29:49,036 - acbm.assigning - DEBUG - Activity 207938: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:49,036 - acbm.assigning - DEBUG - Activity 207938: sampling based on floor area\n", - "2024-05-14 18:29:49,037 - acbm.assigning - DEBUG - Activity 207940: Initial number of options for activity = 82\n", - "2024-05-14 18:29:49,039 - acbm.assigning - DEBUG - Activity 207940: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:49,040 - acbm.assigning - DEBUG - Activity 207940: sampling based on floor area\n", - "2024-05-14 18:29:49,041 - acbm.assigning - DEBUG - Activity 207942: Initial number of options for activity = 82\n", - "2024-05-14 18:29:49,042 - acbm.assigning - DEBUG - Activity 207942: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:49,043 - acbm.assigning - DEBUG - Activity 207942: sampling based on floor area\n", - "2024-05-14 18:29:49,044 - acbm.assigning - DEBUG - Activity 207944: Initial number of options for activity = 82\n", - "2024-05-14 18:29:49,045 - acbm.assigning - DEBUG - Activity 207944: Number of options after filtering by education type: 82\n", - "2024-05-14 18:29:49,046 - acbm.assigning - DEBUG - Activity 207944: sampling based on floor area\n", - "2024-05-14 18:29:49,047 - acbm.assigning - INFO - Activity 207974: No zones available\n", - "2024-05-14 18:29:49,047 - acbm.assigning - INFO - Activity 207975: No zones available\n", - "2024-05-14 18:29:49,048 - acbm.assigning - INFO - Activity 207976: No zones available\n", - "2024-05-14 18:29:49,048 - acbm.assigning - INFO - Activity 207978: No zones available\n", - "2024-05-14 18:29:49,048 - acbm.assigning - INFO - Activity 207979: No zones available\n", - "2024-05-14 18:29:49,049 - acbm.assigning - DEBUG - Activity 207983: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,051 - acbm.assigning - DEBUG - Activity 207983: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,052 - acbm.assigning - DEBUG - Activity 207983: sampling based on floor area\n", - "2024-05-14 18:29:49,053 - acbm.assigning - DEBUG - Activity 208104: Initial number of options for activity = 9\n", - "2024-05-14 18:29:49,056 - acbm.assigning - DEBUG - Activity 208104: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:49,057 - acbm.assigning - DEBUG - Activity 208104: sampling based on floor area\n", - "2024-05-14 18:29:49,059 - acbm.assigning - DEBUG - Activity 208108: Initial number of options for activity = 9\n", - "2024-05-14 18:29:49,061 - acbm.assigning - DEBUG - Activity 208108: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:49,062 - acbm.assigning - DEBUG - Activity 208108: sampling based on floor area\n", - "2024-05-14 18:29:49,063 - acbm.assigning - DEBUG - Activity 208110: Initial number of options for activity = 9\n", - "2024-05-14 18:29:49,066 - acbm.assigning - DEBUG - Activity 208110: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:49,067 - acbm.assigning - DEBUG - Activity 208110: sampling based on floor area\n", - "2024-05-14 18:29:49,068 - acbm.assigning - DEBUG - Activity 208219: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,069 - acbm.assigning - DEBUG - Activity 208219: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,070 - acbm.assigning - DEBUG - Activity 208219: sampling based on floor area\n", - "2024-05-14 18:29:49,071 - acbm.assigning - DEBUG - Activity 208220: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,073 - acbm.assigning - DEBUG - Activity 208220: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,074 - acbm.assigning - DEBUG - Activity 208220: sampling based on floor area\n", - "2024-05-14 18:29:49,075 - acbm.assigning - DEBUG - Activity 208222: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,076 - acbm.assigning - DEBUG - Activity 208222: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,077 - acbm.assigning - DEBUG - Activity 208222: sampling based on floor area\n", - "2024-05-14 18:29:49,078 - acbm.assigning - DEBUG - Activity 208223: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,080 - acbm.assigning - DEBUG - Activity 208223: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,080 - acbm.assigning - DEBUG - Activity 208223: sampling based on floor area\n", - "2024-05-14 18:29:49,082 - acbm.assigning - DEBUG - Activity 208228: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,083 - acbm.assigning - DEBUG - Activity 208228: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,084 - acbm.assigning - DEBUG - Activity 208228: sampling based on floor area\n", - "2024-05-14 18:29:49,085 - acbm.assigning - DEBUG - Activity 208377: Initial number of options for activity = 34\n", - "2024-05-14 18:29:49,087 - acbm.assigning - DEBUG - Activity 208377: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:49,088 - acbm.assigning - DEBUG - Activity 208377: sampling based on floor area\n", - "2024-05-14 18:29:49,089 - acbm.assigning - DEBUG - Activity 208382: Initial number of options for activity = 12\n", - "2024-05-14 18:29:49,091 - acbm.assigning - DEBUG - Activity 208382: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:49,091 - acbm.assigning - DEBUG - Activity 208382: sampling based on floor area\n", - "2024-05-14 18:29:49,092 - acbm.assigning - DEBUG - Activity 208384: Initial number of options for activity = 17\n", - "2024-05-14 18:29:49,094 - acbm.assigning - DEBUG - Activity 208384: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:49,095 - acbm.assigning - DEBUG - Activity 208384: sampling based on floor area\n", - "2024-05-14 18:29:49,096 - acbm.assigning - DEBUG - Activity 208386: Initial number of options for activity = 34\n", - "2024-05-14 18:29:49,098 - acbm.assigning - DEBUG - Activity 208386: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:49,099 - acbm.assigning - DEBUG - Activity 208386: sampling based on floor area\n", - "2024-05-14 18:29:49,101 - acbm.assigning - DEBUG - Activity 208391: Initial number of options for activity = 17\n", - "2024-05-14 18:29:49,103 - acbm.assigning - DEBUG - Activity 208391: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:49,104 - acbm.assigning - DEBUG - Activity 208391: sampling based on floor area\n", - "2024-05-14 18:29:49,105 - acbm.assigning - DEBUG - Activity 208557: Initial number of options for activity = 119\n", - "2024-05-14 18:29:49,107 - acbm.assigning - DEBUG - Activity 208557: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:49,108 - acbm.assigning - DEBUG - Activity 208557: sampling based on floor area\n", - "2024-05-14 18:29:49,109 - acbm.assigning - DEBUG - Activity 208558: Initial number of options for activity = 119\n", - "2024-05-14 18:29:49,111 - acbm.assigning - DEBUG - Activity 208558: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:49,111 - acbm.assigning - DEBUG - Activity 208558: sampling based on floor area\n", - "2024-05-14 18:29:49,112 - acbm.assigning - DEBUG - Activity 208559: Initial number of options for activity = 119\n", - "2024-05-14 18:29:49,114 - acbm.assigning - DEBUG - Activity 208559: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:49,115 - acbm.assigning - DEBUG - Activity 208559: sampling based on floor area\n", - "2024-05-14 18:29:49,116 - acbm.assigning - DEBUG - Activity 208560: Initial number of options for activity = 119\n", - "2024-05-14 18:29:49,118 - acbm.assigning - DEBUG - Activity 208560: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:49,118 - acbm.assigning - DEBUG - Activity 208560: sampling based on floor area\n", - "2024-05-14 18:29:49,120 - acbm.assigning - DEBUG - Activity 208561: Initial number of options for activity = 119\n", - "2024-05-14 18:29:49,122 - acbm.assigning - DEBUG - Activity 208561: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:49,123 - acbm.assigning - DEBUG - Activity 208561: sampling based on floor area\n", - "2024-05-14 18:29:49,124 - acbm.assigning - DEBUG - Activity 208565: Initial number of options for activity = 15\n", - "2024-05-14 18:29:49,126 - acbm.assigning - DEBUG - Activity 208565: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:49,127 - acbm.assigning - DEBUG - Activity 208565: sampling based on floor area\n", - "2024-05-14 18:29:49,128 - acbm.assigning - DEBUG - Activity 208567: Initial number of options for activity = 15\n", - "2024-05-14 18:29:49,129 - acbm.assigning - DEBUG - Activity 208567: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:49,130 - acbm.assigning - DEBUG - Activity 208567: sampling based on floor area\n", - "2024-05-14 18:29:49,131 - acbm.assigning - DEBUG - Activity 208569: Initial number of options for activity = 15\n", - "2024-05-14 18:29:49,133 - acbm.assigning - DEBUG - Activity 208569: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:49,134 - acbm.assigning - DEBUG - Activity 208569: sampling based on floor area\n", - "2024-05-14 18:29:49,135 - acbm.assigning - DEBUG - Activity 208570: Initial number of options for activity = 15\n", - "2024-05-14 18:29:49,137 - acbm.assigning - DEBUG - Activity 208570: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:49,138 - acbm.assigning - DEBUG - Activity 208570: sampling based on floor area\n", - "2024-05-14 18:29:49,139 - acbm.assigning - DEBUG - Activity 208573: Initial number of options for activity = 15\n", - "2024-05-14 18:29:49,141 - acbm.assigning - DEBUG - Activity 208573: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:49,141 - acbm.assigning - DEBUG - Activity 208573: sampling based on floor area\n", - "2024-05-14 18:29:49,142 - acbm.assigning - DEBUG - Activity 208595: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,144 - acbm.assigning - DEBUG - Activity 208595: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,145 - acbm.assigning - DEBUG - Activity 208595: sampling based on floor area\n", - "2024-05-14 18:29:49,146 - acbm.assigning - DEBUG - Activity 208596: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,148 - acbm.assigning - DEBUG - Activity 208596: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,149 - acbm.assigning - DEBUG - Activity 208596: sampling based on floor area\n", - "2024-05-14 18:29:49,150 - acbm.assigning - DEBUG - Activity 208602: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,152 - acbm.assigning - DEBUG - Activity 208602: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,153 - acbm.assigning - DEBUG - Activity 208602: sampling based on floor area\n", - "2024-05-14 18:29:49,154 - acbm.assigning - DEBUG - Activity 208603: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,155 - acbm.assigning - DEBUG - Activity 208603: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,156 - acbm.assigning - DEBUG - Activity 208603: sampling based on floor area\n", - "2024-05-14 18:29:49,157 - acbm.assigning - DEBUG - Activity 208604: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,158 - acbm.assigning - DEBUG - Activity 208604: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,159 - acbm.assigning - DEBUG - Activity 208604: sampling based on floor area\n", - "2024-05-14 18:29:49,160 - acbm.assigning - DEBUG - Activity 208738: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,161 - acbm.assigning - DEBUG - Activity 208738: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,162 - acbm.assigning - DEBUG - Activity 208738: sampling based on floor area\n", - "2024-05-14 18:29:49,162 - acbm.assigning - DEBUG - Activity 208747: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,164 - acbm.assigning - DEBUG - Activity 208747: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,165 - acbm.assigning - DEBUG - Activity 208747: sampling based on floor area\n", - "2024-05-14 18:29:49,166 - acbm.assigning - DEBUG - Activity 208752: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,168 - acbm.assigning - DEBUG - Activity 208752: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,168 - acbm.assigning - DEBUG - Activity 208752: sampling based on floor area\n", - "2024-05-14 18:29:49,170 - acbm.assigning - DEBUG - Activity 208753: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,172 - acbm.assigning - DEBUG - Activity 208753: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,173 - acbm.assigning - DEBUG - Activity 208753: sampling based on floor area\n", - "2024-05-14 18:29:49,175 - acbm.assigning - DEBUG - Activity 208757: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,177 - acbm.assigning - DEBUG - Activity 208757: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,178 - acbm.assigning - DEBUG - Activity 208757: sampling based on floor area\n", - "2024-05-14 18:29:49,179 - acbm.assigning - INFO - Activity 208758: No zones available\n", - "2024-05-14 18:29:49,180 - acbm.assigning - DEBUG - Activity 208919: Initial number of options for activity = 10\n", - "2024-05-14 18:29:49,182 - acbm.assigning - DEBUG - Activity 208919: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:49,183 - acbm.assigning - DEBUG - Activity 208919: sampling based on floor area\n", - "2024-05-14 18:29:49,184 - acbm.assigning - DEBUG - Activity 208921: Initial number of options for activity = 10\n", - "2024-05-14 18:29:49,186 - acbm.assigning - DEBUG - Activity 208921: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:49,187 - acbm.assigning - DEBUG - Activity 208921: sampling based on floor area\n", - "2024-05-14 18:29:49,189 - acbm.assigning - DEBUG - Activity 208923: Initial number of options for activity = 10\n", - "2024-05-14 18:29:49,191 - acbm.assigning - DEBUG - Activity 208923: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:49,191 - acbm.assigning - DEBUG - Activity 208923: sampling based on floor area\n", - "2024-05-14 18:29:49,192 - acbm.assigning - DEBUG - Activity 208925: Initial number of options for activity = 10\n", - "2024-05-14 18:29:49,194 - acbm.assigning - DEBUG - Activity 208925: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:49,194 - acbm.assigning - DEBUG - Activity 208925: sampling based on floor area\n", - "2024-05-14 18:29:49,196 - acbm.assigning - DEBUG - Activity 209234: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,198 - acbm.assigning - DEBUG - Activity 209234: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,199 - acbm.assigning - DEBUG - Activity 209234: sampling based on floor area\n", - "2024-05-14 18:29:49,200 - acbm.assigning - DEBUG - Activity 209237: Initial number of options for activity = 37\n", - "2024-05-14 18:29:49,203 - acbm.assigning - DEBUG - Activity 209237: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:49,203 - acbm.assigning - DEBUG - Activity 209237: sampling based on floor area\n", - "2024-05-14 18:29:49,204 - acbm.assigning - DEBUG - Activity 209238: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,206 - acbm.assigning - DEBUG - Activity 209238: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,207 - acbm.assigning - DEBUG - Activity 209238: sampling based on floor area\n", - "2024-05-14 18:29:49,208 - acbm.assigning - DEBUG - Activity 209240: Initial number of options for activity = 7\n", - "2024-05-14 18:29:49,210 - acbm.assigning - DEBUG - Activity 209240: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:49,210 - acbm.assigning - DEBUG - Activity 209240: sampling based on floor area\n", - "2024-05-14 18:29:49,211 - acbm.assigning - DEBUG - Activity 209241: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,213 - acbm.assigning - DEBUG - Activity 209241: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,213 - acbm.assigning - DEBUG - Activity 209241: sampling based on floor area\n", - "2024-05-14 18:29:49,214 - acbm.assigning - DEBUG - Activity 209242: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,216 - acbm.assigning - DEBUG - Activity 209242: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,217 - acbm.assigning - DEBUG - Activity 209242: sampling based on floor area\n", - "2024-05-14 18:29:49,218 - acbm.assigning - DEBUG - Activity 209245: Initial number of options for activity = 37\n", - "2024-05-14 18:29:49,220 - acbm.assigning - DEBUG - Activity 209245: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:49,220 - acbm.assigning - DEBUG - Activity 209245: sampling based on floor area\n", - "2024-05-14 18:29:49,221 - acbm.assigning - DEBUG - Activity 209247: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,223 - acbm.assigning - DEBUG - Activity 209247: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,224 - acbm.assigning - DEBUG - Activity 209247: sampling based on floor area\n", - "2024-05-14 18:29:49,225 - acbm.assigning - DEBUG - Activity 209248: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,227 - acbm.assigning - DEBUG - Activity 209248: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,228 - acbm.assigning - DEBUG - Activity 209248: sampling based on floor area\n", - "2024-05-14 18:29:49,230 - acbm.assigning - DEBUG - Activity 209253: Initial number of options for activity = 26\n", - "2024-05-14 18:29:49,232 - acbm.assigning - DEBUG - Activity 209253: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:49,233 - acbm.assigning - DEBUG - Activity 209253: sampling based on floor area\n", - "2024-05-14 18:29:49,234 - acbm.assigning - INFO - Activity 209602: No zones available\n", - "2024-05-14 18:29:49,235 - acbm.assigning - INFO - Activity 209603: No zones available\n", - "2024-05-14 18:29:49,236 - acbm.assigning - DEBUG - Activity 209606: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,237 - acbm.assigning - DEBUG - Activity 209606: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,238 - acbm.assigning - DEBUG - Activity 209606: sampling based on floor area\n", - "2024-05-14 18:29:49,239 - acbm.assigning - DEBUG - Activity 209607: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,240 - acbm.assigning - DEBUG - Activity 209607: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,241 - acbm.assigning - DEBUG - Activity 209607: sampling based on floor area\n", - "2024-05-14 18:29:49,242 - acbm.assigning - DEBUG - Activity 209608: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,243 - acbm.assigning - DEBUG - Activity 209608: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,243 - acbm.assigning - DEBUG - Activity 209608: sampling based on floor area\n", - "2024-05-14 18:29:49,244 - acbm.assigning - DEBUG - Activity 209636: Initial number of options for activity = 6\n", - "2024-05-14 18:29:49,246 - acbm.assigning - DEBUG - Activity 209636: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:49,246 - acbm.assigning - DEBUG - Activity 209636: sampling based on floor area\n", - "2024-05-14 18:29:49,247 - acbm.assigning - DEBUG - Activity 209638: Initial number of options for activity = 6\n", - "2024-05-14 18:29:49,250 - acbm.assigning - DEBUG - Activity 209638: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:49,251 - acbm.assigning - DEBUG - Activity 209638: sampling based on floor area\n", - "2024-05-14 18:29:49,252 - acbm.assigning - DEBUG - Activity 209640: Initial number of options for activity = 6\n", - "2024-05-14 18:29:49,255 - acbm.assigning - DEBUG - Activity 209640: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:49,256 - acbm.assigning - DEBUG - Activity 209640: sampling based on floor area\n", - "2024-05-14 18:29:49,258 - acbm.assigning - DEBUG - Activity 209642: Initial number of options for activity = 6\n", - "2024-05-14 18:29:49,260 - acbm.assigning - DEBUG - Activity 209642: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:49,260 - acbm.assigning - DEBUG - Activity 209642: sampling based on floor area\n", - "2024-05-14 18:29:49,261 - acbm.assigning - DEBUG - Activity 209644: Initial number of options for activity = 6\n", - "2024-05-14 18:29:49,263 - acbm.assigning - DEBUG - Activity 209644: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:49,264 - acbm.assigning - DEBUG - Activity 209644: sampling based on floor area\n", - "2024-05-14 18:29:49,265 - acbm.assigning - DEBUG - Activity 209782: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,267 - acbm.assigning - DEBUG - Activity 209782: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,268 - acbm.assigning - DEBUG - Activity 209782: sampling based on floor area\n", - "2024-05-14 18:29:49,270 - acbm.assigning - DEBUG - Activity 209783: Initial number of options for activity = 28\n", - "2024-05-14 18:29:49,272 - acbm.assigning - DEBUG - Activity 209783: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:49,273 - acbm.assigning - DEBUG - Activity 209783: sampling based on floor area\n", - "2024-05-14 18:29:49,274 - acbm.assigning - DEBUG - Activity 209787: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,276 - acbm.assigning - DEBUG - Activity 209787: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,276 - acbm.assigning - DEBUG - Activity 209787: sampling based on floor area\n", - "2024-05-14 18:29:49,277 - acbm.assigning - DEBUG - Activity 209788: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,279 - acbm.assigning - DEBUG - Activity 209788: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,280 - acbm.assigning - DEBUG - Activity 209788: sampling based on floor area\n", - "2024-05-14 18:29:49,282 - acbm.assigning - DEBUG - Activity 209790: Initial number of options for activity = 28\n", - "2024-05-14 18:29:49,284 - acbm.assigning - DEBUG - Activity 209790: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:49,284 - acbm.assigning - DEBUG - Activity 209790: sampling based on floor area\n", - "2024-05-14 18:29:49,286 - acbm.assigning - INFO - Activity 209845: No zones available\n", - "2024-05-14 18:29:49,286 - acbm.assigning - INFO - Activity 209848: No zones available\n", - "2024-05-14 18:29:49,287 - acbm.assigning - INFO - Activity 209849: No zones available\n", - "2024-05-14 18:29:49,287 - acbm.assigning - INFO - Activity 209850: No zones available\n", - "2024-05-14 18:29:49,288 - acbm.assigning - DEBUG - Activity 209852: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,289 - acbm.assigning - DEBUG - Activity 209852: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,290 - acbm.assigning - DEBUG - Activity 209852: sampling based on floor area\n", - "2024-05-14 18:29:49,291 - acbm.assigning - DEBUG - Activity 209897: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,292 - acbm.assigning - DEBUG - Activity 209897: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,293 - acbm.assigning - DEBUG - Activity 209897: sampling based on floor area\n", - "2024-05-14 18:29:49,293 - acbm.assigning - DEBUG - Activity 209899: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,295 - acbm.assigning - DEBUG - Activity 209899: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,295 - acbm.assigning - DEBUG - Activity 209899: sampling based on floor area\n", - "2024-05-14 18:29:49,296 - acbm.assigning - DEBUG - Activity 209901: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,298 - acbm.assigning - DEBUG - Activity 209901: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,298 - acbm.assigning - DEBUG - Activity 209901: sampling based on floor area\n", - "2024-05-14 18:29:49,299 - acbm.assigning - DEBUG - Activity 209903: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,301 - acbm.assigning - DEBUG - Activity 209903: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,301 - acbm.assigning - DEBUG - Activity 209903: sampling based on floor area\n", - "2024-05-14 18:29:49,302 - acbm.assigning - DEBUG - Activity 209905: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,304 - acbm.assigning - DEBUG - Activity 209905: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,305 - acbm.assigning - DEBUG - Activity 209905: sampling based on floor area\n", - "2024-05-14 18:29:49,306 - acbm.assigning - DEBUG - Activity 209907: Initial number of options for activity = 93\n", - "2024-05-14 18:29:49,308 - acbm.assigning - DEBUG - Activity 209907: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:49,308 - acbm.assigning - DEBUG - Activity 209907: sampling based on floor area\n", - "2024-05-14 18:29:49,309 - acbm.assigning - DEBUG - Activity 209909: Initial number of options for activity = 93\n", - "2024-05-14 18:29:49,311 - acbm.assigning - DEBUG - Activity 209909: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:49,312 - acbm.assigning - DEBUG - Activity 209909: sampling based on floor area\n", - "2024-05-14 18:29:49,313 - acbm.assigning - DEBUG - Activity 209911: Initial number of options for activity = 93\n", - "2024-05-14 18:29:49,315 - acbm.assigning - DEBUG - Activity 209911: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:49,315 - acbm.assigning - DEBUG - Activity 209911: sampling based on floor area\n", - "2024-05-14 18:29:49,316 - acbm.assigning - DEBUG - Activity 209913: Initial number of options for activity = 93\n", - "2024-05-14 18:29:49,318 - acbm.assigning - DEBUG - Activity 209913: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:49,319 - acbm.assigning - DEBUG - Activity 209913: sampling based on floor area\n", - "2024-05-14 18:29:49,320 - acbm.assigning - DEBUG - Activity 209915: Initial number of options for activity = 93\n", - "2024-05-14 18:29:49,322 - acbm.assigning - DEBUG - Activity 209915: Number of options after filtering by education type: 93\n", - "2024-05-14 18:29:49,322 - acbm.assigning - DEBUG - Activity 209915: sampling based on floor area\n", - "2024-05-14 18:29:49,323 - acbm.assigning - INFO - Activity 210066: No zones available\n", - "2024-05-14 18:29:49,324 - acbm.assigning - INFO - Activity 210069: No zones available\n", - "2024-05-14 18:29:49,324 - acbm.assigning - INFO - Activity 210071: No zones available\n", - "2024-05-14 18:29:49,325 - acbm.assigning - INFO - Activity 210073: No zones available\n", - "2024-05-14 18:29:49,325 - acbm.assigning - DEBUG - Activity 210231: Initial number of options for activity = 74\n", - "2024-05-14 18:29:49,326 - acbm.assigning - DEBUG - Activity 210231: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:49,327 - acbm.assigning - DEBUG - Activity 210231: sampling based on floor area\n", - "2024-05-14 18:29:49,328 - acbm.assigning - DEBUG - Activity 210235: Initial number of options for activity = 57\n", - "2024-05-14 18:29:49,329 - acbm.assigning - DEBUG - Activity 210235: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:49,330 - acbm.assigning - DEBUG - Activity 210235: sampling based on floor area\n", - "2024-05-14 18:29:49,330 - acbm.assigning - DEBUG - Activity 210236: Initial number of options for activity = 22\n", - "2024-05-14 18:29:49,332 - acbm.assigning - DEBUG - Activity 210236: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:49,332 - acbm.assigning - DEBUG - Activity 210236: sampling based on floor area\n", - "2024-05-14 18:29:49,334 - acbm.assigning - DEBUG - Activity 210237: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,336 - acbm.assigning - DEBUG - Activity 210237: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,337 - acbm.assigning - DEBUG - Activity 210237: sampling based on floor area\n", - "2024-05-14 18:29:49,338 - acbm.assigning - INFO - Activity 210505: No zones available\n", - "2024-05-14 18:29:49,338 - acbm.assigning - DEBUG - Activity 210656: Initial number of options for activity = 10\n", - "2024-05-14 18:29:49,340 - acbm.assigning - DEBUG - Activity 210656: Number of options after filtering by education type: 10\n", - "2024-05-14 18:29:49,341 - acbm.assigning - DEBUG - Activity 210656: sampling based on floor area\n", - "2024-05-14 18:29:49,341 - acbm.assigning - INFO - Activity 210691: No zones available\n", - "2024-05-14 18:29:49,342 - acbm.assigning - INFO - Activity 210695: No zones available\n", - "2024-05-14 18:29:49,343 - acbm.assigning - INFO - Activity 210697: No zones available\n", - "2024-05-14 18:29:49,343 - acbm.assigning - INFO - Activity 210699: No zones available\n", - "2024-05-14 18:29:49,343 - acbm.assigning - INFO - Activity 210701: No zones available\n", - "2024-05-14 18:29:49,344 - acbm.assigning - DEBUG - Activity 210703: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,345 - acbm.assigning - DEBUG - Activity 210703: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,346 - acbm.assigning - DEBUG - Activity 210703: sampling based on floor area\n", - "2024-05-14 18:29:49,347 - acbm.assigning - DEBUG - Activity 210956: Initial number of options for activity = 8\n", - "2024-05-14 18:29:49,348 - acbm.assigning - DEBUG - Activity 210956: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:49,349 - acbm.assigning - DEBUG - Activity 210956: sampling based on floor area\n", - "2024-05-14 18:29:49,350 - acbm.assigning - DEBUG - Activity 210958: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,352 - acbm.assigning - DEBUG - Activity 210958: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,352 - acbm.assigning - DEBUG - Activity 210958: sampling based on floor area\n", - "2024-05-14 18:29:49,353 - acbm.assigning - DEBUG - Activity 210959: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,355 - acbm.assigning - DEBUG - Activity 210959: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,355 - acbm.assigning - DEBUG - Activity 210959: sampling based on floor area\n", - "2024-05-14 18:29:49,356 - acbm.assigning - DEBUG - Activity 210967: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,358 - acbm.assigning - DEBUG - Activity 210967: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,358 - acbm.assigning - DEBUG - Activity 210967: sampling based on floor area\n", - "2024-05-14 18:29:49,359 - acbm.assigning - DEBUG - Activity 210968: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,361 - acbm.assigning - DEBUG - Activity 210968: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,361 - acbm.assigning - DEBUG - Activity 210968: sampling based on floor area\n", - "2024-05-14 18:29:49,362 - acbm.assigning - DEBUG - Activity 211409: Initial number of options for activity = 76\n", - "2024-05-14 18:29:49,364 - acbm.assigning - DEBUG - Activity 211409: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:49,364 - acbm.assigning - DEBUG - Activity 211409: sampling based on floor area\n", - "2024-05-14 18:29:49,366 - acbm.assigning - DEBUG - Activity 211411: Initial number of options for activity = 76\n", - "2024-05-14 18:29:49,368 - acbm.assigning - DEBUG - Activity 211411: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:49,369 - acbm.assigning - DEBUG - Activity 211411: sampling based on floor area\n", - "2024-05-14 18:29:49,371 - acbm.assigning - DEBUG - Activity 211413: Initial number of options for activity = 76\n", - "2024-05-14 18:29:49,373 - acbm.assigning - DEBUG - Activity 211413: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:49,373 - acbm.assigning - DEBUG - Activity 211413: sampling based on floor area\n", - "2024-05-14 18:29:49,374 - acbm.assigning - DEBUG - Activity 211415: Initial number of options for activity = 76\n", - "2024-05-14 18:29:49,376 - acbm.assigning - DEBUG - Activity 211415: Number of options after filtering by education type: 76\n", - "2024-05-14 18:29:49,377 - acbm.assigning - DEBUG - Activity 211415: sampling based on floor area\n", - "2024-05-14 18:29:49,378 - acbm.assigning - DEBUG - Activity 211656: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,379 - acbm.assigning - DEBUG - Activity 211656: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,380 - acbm.assigning - DEBUG - Activity 211656: sampling based on floor area\n", - "2024-05-14 18:29:49,381 - acbm.assigning - DEBUG - Activity 211883: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,383 - acbm.assigning - DEBUG - Activity 211883: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,384 - acbm.assigning - DEBUG - Activity 211883: sampling based on floor area\n", - "2024-05-14 18:29:49,385 - acbm.assigning - DEBUG - Activity 211885: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,387 - acbm.assigning - DEBUG - Activity 211885: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,388 - acbm.assigning - DEBUG - Activity 211885: sampling based on floor area\n", - "2024-05-14 18:29:49,389 - acbm.assigning - DEBUG - Activity 211889: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,390 - acbm.assigning - DEBUG - Activity 211889: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,391 - acbm.assigning - DEBUG - Activity 211889: sampling based on floor area\n", - "2024-05-14 18:29:49,392 - acbm.assigning - DEBUG - Activity 211891: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,394 - acbm.assigning - DEBUG - Activity 211891: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,394 - acbm.assigning - DEBUG - Activity 211891: sampling based on floor area\n", - "2024-05-14 18:29:49,395 - acbm.assigning - DEBUG - Activity 212151: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,396 - acbm.assigning - DEBUG - Activity 212151: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,397 - acbm.assigning - DEBUG - Activity 212151: sampling based on floor area\n", - "2024-05-14 18:29:49,399 - acbm.assigning - DEBUG - Activity 212153: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,400 - acbm.assigning - DEBUG - Activity 212153: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,401 - acbm.assigning - DEBUG - Activity 212153: sampling based on floor area\n", - "2024-05-14 18:29:49,402 - acbm.assigning - DEBUG - Activity 212155: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,404 - acbm.assigning - DEBUG - Activity 212155: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,405 - acbm.assigning - DEBUG - Activity 212155: sampling based on floor area\n", - "2024-05-14 18:29:49,406 - acbm.assigning - INFO - Activity 212235: No zones available\n", - "2024-05-14 18:29:49,407 - acbm.assigning - INFO - Activity 212237: No zones available\n", - "2024-05-14 18:29:49,408 - acbm.assigning - INFO - Activity 212241: No zones available\n", - "2024-05-14 18:29:49,408 - acbm.assigning - INFO - Activity 212243: No zones available\n", - "2024-05-14 18:29:49,408 - acbm.assigning - INFO - Activity 212245: No zones available\n", - "2024-05-14 18:29:49,409 - acbm.assigning - DEBUG - Activity 212384: Initial number of options for activity = 20\n", - "2024-05-14 18:29:49,411 - acbm.assigning - DEBUG - Activity 212384: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:49,412 - acbm.assigning - DEBUG - Activity 212384: sampling based on floor area\n", - "2024-05-14 18:29:49,413 - acbm.assigning - DEBUG - Activity 212385: Initial number of options for activity = 26\n", - "2024-05-14 18:29:49,415 - acbm.assigning - DEBUG - Activity 212385: Number of options after filtering by education type: 26\n", - "2024-05-14 18:29:49,416 - acbm.assigning - DEBUG - Activity 212385: sampling based on floor area\n", - "2024-05-14 18:29:49,417 - acbm.assigning - DEBUG - Activity 212388: Initial number of options for activity = 8\n", - "2024-05-14 18:29:49,419 - acbm.assigning - DEBUG - Activity 212388: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:49,420 - acbm.assigning - DEBUG - Activity 212388: sampling based on floor area\n", - "2024-05-14 18:29:49,421 - acbm.assigning - DEBUG - Activity 212389: Initial number of options for activity = 8\n", - "2024-05-14 18:29:49,423 - acbm.assigning - DEBUG - Activity 212389: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:49,423 - acbm.assigning - DEBUG - Activity 212389: sampling based on floor area\n", - "2024-05-14 18:29:49,425 - acbm.assigning - DEBUG - Activity 212392: Initial number of options for activity = 20\n", - "2024-05-14 18:29:49,426 - acbm.assigning - DEBUG - Activity 212392: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:49,427 - acbm.assigning - DEBUG - Activity 212392: sampling based on floor area\n", - "2024-05-14 18:29:49,428 - acbm.assigning - DEBUG - Activity 212753: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,430 - acbm.assigning - DEBUG - Activity 212753: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,431 - acbm.assigning - DEBUG - Activity 212753: sampling based on floor area\n", - "2024-05-14 18:29:49,432 - acbm.assigning - DEBUG - Activity 212755: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,434 - acbm.assigning - DEBUG - Activity 212755: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,436 - acbm.assigning - DEBUG - Activity 212755: sampling based on floor area\n", - "2024-05-14 18:29:49,437 - acbm.assigning - DEBUG - Activity 212757: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,439 - acbm.assigning - DEBUG - Activity 212757: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,440 - acbm.assigning - DEBUG - Activity 212757: sampling based on floor area\n", - "2024-05-14 18:29:49,441 - acbm.assigning - DEBUG - Activity 212759: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,443 - acbm.assigning - DEBUG - Activity 212759: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,444 - acbm.assigning - DEBUG - Activity 212759: sampling based on floor area\n", - "2024-05-14 18:29:49,445 - acbm.assigning - DEBUG - Activity 212762: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,446 - acbm.assigning - DEBUG - Activity 212762: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,447 - acbm.assigning - DEBUG - Activity 212762: sampling based on floor area\n", - "2024-05-14 18:29:49,448 - acbm.assigning - INFO - Activity 212906: No zones available\n", - "2024-05-14 18:29:49,448 - acbm.assigning - DEBUG - Activity 212935: Initial number of options for activity = 24\n", - "2024-05-14 18:29:49,450 - acbm.assigning - DEBUG - Activity 212935: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:49,451 - acbm.assigning - DEBUG - Activity 212935: sampling based on floor area\n", - "2024-05-14 18:29:49,452 - acbm.assigning - DEBUG - Activity 212937: Initial number of options for activity = 24\n", - "2024-05-14 18:29:49,454 - acbm.assigning - DEBUG - Activity 212937: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:49,455 - acbm.assigning - DEBUG - Activity 212937: sampling based on floor area\n", - "2024-05-14 18:29:49,456 - acbm.assigning - DEBUG - Activity 212939: Initial number of options for activity = 24\n", - "2024-05-14 18:29:49,458 - acbm.assigning - DEBUG - Activity 212939: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:49,459 - acbm.assigning - DEBUG - Activity 212939: sampling based on floor area\n", - "2024-05-14 18:29:49,460 - acbm.assigning - DEBUG - Activity 212940: Initial number of options for activity = 24\n", - "2024-05-14 18:29:49,461 - acbm.assigning - DEBUG - Activity 212940: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:49,462 - acbm.assigning - DEBUG - Activity 212940: sampling based on floor area\n", - "2024-05-14 18:29:49,463 - acbm.assigning - DEBUG - Activity 212943: Initial number of options for activity = 67\n", - "2024-05-14 18:29:49,465 - acbm.assigning - DEBUG - Activity 212943: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:49,466 - acbm.assigning - DEBUG - Activity 212943: sampling based on floor area\n", - "2024-05-14 18:29:49,467 - acbm.assigning - DEBUG - Activity 212998: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,470 - acbm.assigning - DEBUG - Activity 212998: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,470 - acbm.assigning - DEBUG - Activity 212998: sampling based on floor area\n", - "2024-05-14 18:29:49,471 - acbm.assigning - DEBUG - Activity 213002: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,473 - acbm.assigning - DEBUG - Activity 213002: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,474 - acbm.assigning - DEBUG - Activity 213002: sampling based on floor area\n", - "2024-05-14 18:29:49,476 - acbm.assigning - DEBUG - Activity 213004: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,478 - acbm.assigning - DEBUG - Activity 213004: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,478 - acbm.assigning - DEBUG - Activity 213004: sampling based on floor area\n", - "2024-05-14 18:29:49,479 - acbm.assigning - DEBUG - Activity 213008: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,481 - acbm.assigning - DEBUG - Activity 213008: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,481 - acbm.assigning - DEBUG - Activity 213008: sampling based on floor area\n", - "2024-05-14 18:29:49,483 - acbm.assigning - DEBUG - Activity 213012: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,484 - acbm.assigning - DEBUG - Activity 213012: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,485 - acbm.assigning - DEBUG - Activity 213012: sampling based on floor area\n", - "2024-05-14 18:29:49,486 - acbm.assigning - DEBUG - Activity 213021: Initial number of options for activity = 11\n", - "2024-05-14 18:29:49,488 - acbm.assigning - DEBUG - Activity 213021: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:49,489 - acbm.assigning - DEBUG - Activity 213021: sampling based on floor area\n", - "2024-05-14 18:29:49,490 - acbm.assigning - DEBUG - Activity 213023: Initial number of options for activity = 11\n", - "2024-05-14 18:29:49,492 - acbm.assigning - DEBUG - Activity 213023: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:49,492 - acbm.assigning - DEBUG - Activity 213023: sampling based on floor area\n", - "2024-05-14 18:29:49,493 - acbm.assigning - DEBUG - Activity 213027: Initial number of options for activity = 11\n", - "2024-05-14 18:29:49,495 - acbm.assigning - DEBUG - Activity 213027: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:49,496 - acbm.assigning - DEBUG - Activity 213027: sampling based on floor area\n", - "2024-05-14 18:29:49,497 - acbm.assigning - DEBUG - Activity 213029: Initial number of options for activity = 11\n", - "2024-05-14 18:29:49,500 - acbm.assigning - DEBUG - Activity 213029: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:49,501 - acbm.assigning - DEBUG - Activity 213029: sampling based on floor area\n", - "2024-05-14 18:29:49,502 - acbm.assigning - DEBUG - Activity 213033: Initial number of options for activity = 11\n", - "2024-05-14 18:29:49,505 - acbm.assigning - DEBUG - Activity 213033: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:49,505 - acbm.assigning - DEBUG - Activity 213033: sampling based on floor area\n", - "2024-05-14 18:29:49,507 - acbm.assigning - DEBUG - Activity 213177: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,509 - acbm.assigning - DEBUG - Activity 213177: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,510 - acbm.assigning - DEBUG - Activity 213177: sampling based on floor area\n", - "2024-05-14 18:29:49,511 - acbm.assigning - DEBUG - Activity 213179: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,513 - acbm.assigning - DEBUG - Activity 213179: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,513 - acbm.assigning - DEBUG - Activity 213179: sampling based on floor area\n", - "2024-05-14 18:29:49,515 - acbm.assigning - DEBUG - Activity 213183: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,517 - acbm.assigning - DEBUG - Activity 213183: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,518 - acbm.assigning - DEBUG - Activity 213183: sampling based on floor area\n", - "2024-05-14 18:29:49,519 - acbm.assigning - DEBUG - Activity 213185: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,521 - acbm.assigning - DEBUG - Activity 213185: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,522 - acbm.assigning - DEBUG - Activity 213185: sampling based on floor area\n", - "2024-05-14 18:29:49,523 - acbm.assigning - DEBUG - Activity 213187: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,525 - acbm.assigning - DEBUG - Activity 213187: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,526 - acbm.assigning - DEBUG - Activity 213187: sampling based on floor area\n", - "2024-05-14 18:29:49,527 - acbm.assigning - DEBUG - Activity 213210: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,528 - acbm.assigning - DEBUG - Activity 213210: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,529 - acbm.assigning - DEBUG - Activity 213210: sampling based on floor area\n", - "2024-05-14 18:29:49,530 - acbm.assigning - DEBUG - Activity 213211: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,531 - acbm.assigning - DEBUG - Activity 213211: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,532 - acbm.assigning - DEBUG - Activity 213211: sampling based on floor area\n", - "2024-05-14 18:29:49,533 - acbm.assigning - DEBUG - Activity 213213: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,536 - acbm.assigning - DEBUG - Activity 213213: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,537 - acbm.assigning - DEBUG - Activity 213213: sampling based on floor area\n", - "2024-05-14 18:29:49,539 - acbm.assigning - DEBUG - Activity 213225: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,541 - acbm.assigning - DEBUG - Activity 213225: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,542 - acbm.assigning - DEBUG - Activity 213225: sampling based on floor area\n", - "2024-05-14 18:29:49,543 - acbm.assigning - DEBUG - Activity 213226: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,545 - acbm.assigning - DEBUG - Activity 213226: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,545 - acbm.assigning - DEBUG - Activity 213226: sampling based on floor area\n", - "2024-05-14 18:29:49,546 - acbm.assigning - INFO - Activity 213324: No zones available\n", - "2024-05-14 18:29:49,546 - acbm.assigning - INFO - Activity 213326: No zones available\n", - "2024-05-14 18:29:49,547 - acbm.assigning - INFO - Activity 213328: No zones available\n", - "2024-05-14 18:29:49,548 - acbm.assigning - INFO - Activity 213330: No zones available\n", - "2024-05-14 18:29:49,548 - acbm.assigning - DEBUG - Activity 213375: Initial number of options for activity = 23\n", - "2024-05-14 18:29:49,550 - acbm.assigning - DEBUG - Activity 213375: Number of options after filtering by education type: 23\n", - "2024-05-14 18:29:49,551 - acbm.assigning - DEBUG - Activity 213375: sampling based on floor area\n", - "2024-05-14 18:29:49,553 - acbm.assigning - INFO - Activity 213379: No zones available\n", - "2024-05-14 18:29:49,553 - acbm.assigning - INFO - Activity 213380: No zones available\n", - "2024-05-14 18:29:49,553 - acbm.assigning - INFO - Activity 213381: No zones available\n", - "2024-05-14 18:29:49,554 - acbm.assigning - INFO - Activity 213383: No zones available\n", - "2024-05-14 18:29:49,554 - acbm.assigning - DEBUG - Activity 213442: Initial number of options for activity = 153\n", - "2024-05-14 18:29:49,556 - acbm.assigning - DEBUG - Activity 213442: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:49,557 - acbm.assigning - DEBUG - Activity 213442: sampling based on floor area\n", - "2024-05-14 18:29:49,558 - acbm.assigning - DEBUG - Activity 213443: Initial number of options for activity = 120\n", - "2024-05-14 18:29:49,560 - acbm.assigning - DEBUG - Activity 213443: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:49,561 - acbm.assigning - DEBUG - Activity 213443: sampling based on floor area\n", - "2024-05-14 18:29:49,562 - acbm.assigning - DEBUG - Activity 213444: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,563 - acbm.assigning - DEBUG - Activity 213444: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,564 - acbm.assigning - DEBUG - Activity 213444: sampling based on floor area\n", - "2024-05-14 18:29:49,566 - acbm.assigning - DEBUG - Activity 213453: Initial number of options for activity = 120\n", - "2024-05-14 18:29:49,568 - acbm.assigning - DEBUG - Activity 213453: Number of options after filtering by education type: 120\n", - "2024-05-14 18:29:49,569 - acbm.assigning - DEBUG - Activity 213453: sampling based on floor area\n", - "2024-05-14 18:29:49,570 - acbm.assigning - DEBUG - Activity 213459: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,572 - acbm.assigning - DEBUG - Activity 213459: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,573 - acbm.assigning - DEBUG - Activity 213459: sampling based on floor area\n", - "2024-05-14 18:29:49,574 - acbm.assigning - DEBUG - Activity 213462: Initial number of options for activity = 153\n", - "2024-05-14 18:29:49,576 - acbm.assigning - DEBUG - Activity 213462: Number of options after filtering by education type: 153\n", - "2024-05-14 18:29:49,576 - acbm.assigning - DEBUG - Activity 213462: sampling based on floor area\n", - "2024-05-14 18:29:49,577 - acbm.assigning - DEBUG - Activity 213468: Initial number of options for activity = 45\n", - "2024-05-14 18:29:49,579 - acbm.assigning - DEBUG - Activity 213468: Number of options after filtering by education type: 45\n", - "2024-05-14 18:29:49,580 - acbm.assigning - DEBUG - Activity 213468: sampling based on floor area\n", - "2024-05-14 18:29:49,581 - acbm.assigning - DEBUG - Activity 213469: Initial number of options for activity = 11\n", - "2024-05-14 18:29:49,583 - acbm.assigning - DEBUG - Activity 213469: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:49,584 - acbm.assigning - DEBUG - Activity 213469: sampling based on floor area\n", - "2024-05-14 18:29:49,585 - acbm.assigning - DEBUG - Activity 213471: Initial number of options for activity = 11\n", - "2024-05-14 18:29:49,587 - acbm.assigning - DEBUG - Activity 213471: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:49,587 - acbm.assigning - DEBUG - Activity 213471: sampling based on floor area\n", - "2024-05-14 18:29:49,589 - acbm.assigning - DEBUG - Activity 213640: Initial number of options for activity = 110\n", - "2024-05-14 18:29:49,591 - acbm.assigning - DEBUG - Activity 213640: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:49,591 - acbm.assigning - DEBUG - Activity 213640: sampling based on floor area\n", - "2024-05-14 18:29:49,593 - acbm.assigning - DEBUG - Activity 213642: Initial number of options for activity = 110\n", - "2024-05-14 18:29:49,595 - acbm.assigning - DEBUG - Activity 213642: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:49,596 - acbm.assigning - DEBUG - Activity 213642: sampling based on floor area\n", - "2024-05-14 18:29:49,597 - acbm.assigning - DEBUG - Activity 213646: Initial number of options for activity = 110\n", - "2024-05-14 18:29:49,599 - acbm.assigning - DEBUG - Activity 213646: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:49,600 - acbm.assigning - DEBUG - Activity 213646: sampling based on floor area\n", - "2024-05-14 18:29:49,601 - acbm.assigning - DEBUG - Activity 213648: Initial number of options for activity = 110\n", - "2024-05-14 18:29:49,603 - acbm.assigning - DEBUG - Activity 213648: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:49,604 - acbm.assigning - DEBUG - Activity 213648: sampling based on floor area\n", - "2024-05-14 18:29:49,605 - acbm.assigning - DEBUG - Activity 213650: Initial number of options for activity = 110\n", - "2024-05-14 18:29:49,607 - acbm.assigning - DEBUG - Activity 213650: Number of options after filtering by education type: 110\n", - "2024-05-14 18:29:49,608 - acbm.assigning - DEBUG - Activity 213650: sampling based on floor area\n", - "2024-05-14 18:29:49,609 - acbm.assigning - DEBUG - Activity 213693: Initial number of options for activity = 67\n", - "2024-05-14 18:29:49,610 - acbm.assigning - DEBUG - Activity 213693: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:49,611 - acbm.assigning - DEBUG - Activity 213693: sampling based on floor area\n", - "2024-05-14 18:29:49,612 - acbm.assigning - DEBUG - Activity 213695: Initial number of options for activity = 67\n", - "2024-05-14 18:29:49,614 - acbm.assigning - DEBUG - Activity 213695: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:49,615 - acbm.assigning - DEBUG - Activity 213695: sampling based on floor area\n", - "2024-05-14 18:29:49,616 - acbm.assigning - DEBUG - Activity 213697: Initial number of options for activity = 67\n", - "2024-05-14 18:29:49,619 - acbm.assigning - DEBUG - Activity 213697: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:49,620 - acbm.assigning - DEBUG - Activity 213697: sampling based on floor area\n", - "2024-05-14 18:29:49,621 - acbm.assigning - DEBUG - Activity 213699: Initial number of options for activity = 67\n", - "2024-05-14 18:29:49,623 - acbm.assigning - DEBUG - Activity 213699: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:49,624 - acbm.assigning - DEBUG - Activity 213699: sampling based on floor area\n", - "2024-05-14 18:29:49,625 - acbm.assigning - DEBUG - Activity 214036: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,627 - acbm.assigning - DEBUG - Activity 214036: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,628 - acbm.assigning - DEBUG - Activity 214036: sampling based on floor area\n", - "2024-05-14 18:29:49,629 - acbm.assigning - DEBUG - Activity 214046: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,631 - acbm.assigning - DEBUG - Activity 214046: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,632 - acbm.assigning - DEBUG - Activity 214046: sampling based on floor area\n", - "2024-05-14 18:29:49,633 - acbm.assigning - DEBUG - Activity 214048: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,634 - acbm.assigning - DEBUG - Activity 214048: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,635 - acbm.assigning - DEBUG - Activity 214048: sampling based on floor area\n", - "2024-05-14 18:29:49,636 - acbm.assigning - DEBUG - Activity 214052: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,638 - acbm.assigning - DEBUG - Activity 214052: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,639 - acbm.assigning - DEBUG - Activity 214052: sampling based on floor area\n", - "2024-05-14 18:29:49,641 - acbm.assigning - DEBUG - Activity 214054: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,642 - acbm.assigning - DEBUG - Activity 214054: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,643 - acbm.assigning - DEBUG - Activity 214054: sampling based on floor area\n", - "2024-05-14 18:29:49,644 - acbm.assigning - DEBUG - Activity 214097: Initial number of options for activity = 53\n", - "2024-05-14 18:29:49,646 - acbm.assigning - DEBUG - Activity 214097: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:49,647 - acbm.assigning - DEBUG - Activity 214097: sampling based on floor area\n", - "2024-05-14 18:29:49,648 - acbm.assigning - DEBUG - Activity 214099: Initial number of options for activity = 53\n", - "2024-05-14 18:29:49,651 - acbm.assigning - DEBUG - Activity 214099: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:49,651 - acbm.assigning - DEBUG - Activity 214099: sampling based on floor area\n", - "2024-05-14 18:29:49,653 - acbm.assigning - DEBUG - Activity 214101: Initial number of options for activity = 53\n", - "2024-05-14 18:29:49,654 - acbm.assigning - DEBUG - Activity 214101: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:49,655 - acbm.assigning - DEBUG - Activity 214101: sampling based on floor area\n", - "2024-05-14 18:29:49,656 - acbm.assigning - DEBUG - Activity 214103: Initial number of options for activity = 53\n", - "2024-05-14 18:29:49,658 - acbm.assigning - DEBUG - Activity 214103: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:49,659 - acbm.assigning - DEBUG - Activity 214103: sampling based on floor area\n", - "2024-05-14 18:29:49,660 - acbm.assigning - INFO - Activity 214307: No zones available\n", - "2024-05-14 18:29:49,660 - acbm.assigning - DEBUG - Activity 214481: Initial number of options for activity = 34\n", - "2024-05-14 18:29:49,662 - acbm.assigning - DEBUG - Activity 214481: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:49,663 - acbm.assigning - DEBUG - Activity 214481: sampling based on floor area\n", - "2024-05-14 18:29:49,664 - acbm.assigning - DEBUG - Activity 214485: Initial number of options for activity = 34\n", - "2024-05-14 18:29:49,667 - acbm.assigning - DEBUG - Activity 214485: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:49,668 - acbm.assigning - DEBUG - Activity 214485: sampling based on floor area\n", - "2024-05-14 18:29:49,670 - acbm.assigning - DEBUG - Activity 214491: Initial number of options for activity = 34\n", - "2024-05-14 18:29:49,672 - acbm.assigning - DEBUG - Activity 214491: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:49,673 - acbm.assigning - DEBUG - Activity 214491: sampling based on floor area\n", - "2024-05-14 18:29:49,675 - acbm.assigning - DEBUG - Activity 214495: Initial number of options for activity = 34\n", - "2024-05-14 18:29:49,677 - acbm.assigning - DEBUG - Activity 214495: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:49,678 - acbm.assigning - DEBUG - Activity 214495: sampling based on floor area\n", - "2024-05-14 18:29:49,679 - acbm.assigning - DEBUG - Activity 214499: Initial number of options for activity = 34\n", - "2024-05-14 18:29:49,682 - acbm.assigning - DEBUG - Activity 214499: Number of options after filtering by education type: 34\n", - "2024-05-14 18:29:49,683 - acbm.assigning - DEBUG - Activity 214499: sampling based on floor area\n", - "2024-05-14 18:29:49,684 - acbm.assigning - DEBUG - Activity 214511: Initial number of options for activity = 13\n", - "2024-05-14 18:29:49,686 - acbm.assigning - DEBUG - Activity 214511: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:49,687 - acbm.assigning - DEBUG - Activity 214511: sampling based on floor area\n", - "2024-05-14 18:29:49,689 - acbm.assigning - DEBUG - Activity 214515: Initial number of options for activity = 13\n", - "2024-05-14 18:29:49,690 - acbm.assigning - DEBUG - Activity 214515: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:49,691 - acbm.assigning - DEBUG - Activity 214515: sampling based on floor area\n", - "2024-05-14 18:29:49,692 - acbm.assigning - DEBUG - Activity 214521: Initial number of options for activity = 13\n", - "2024-05-14 18:29:49,694 - acbm.assigning - DEBUG - Activity 214521: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:49,694 - acbm.assigning - DEBUG - Activity 214521: sampling based on floor area\n", - "2024-05-14 18:29:49,695 - acbm.assigning - DEBUG - Activity 214525: Initial number of options for activity = 13\n", - "2024-05-14 18:29:49,697 - acbm.assigning - DEBUG - Activity 214525: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:49,698 - acbm.assigning - DEBUG - Activity 214525: sampling based on floor area\n", - "2024-05-14 18:29:49,699 - acbm.assigning - DEBUG - Activity 214529: Initial number of options for activity = 13\n", - "2024-05-14 18:29:49,701 - acbm.assigning - DEBUG - Activity 214529: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:49,702 - acbm.assigning - DEBUG - Activity 214529: sampling based on floor area\n", - "2024-05-14 18:29:49,703 - acbm.assigning - INFO - Activity 214614: No zones available\n", - "2024-05-14 18:29:49,704 - acbm.assigning - DEBUG - Activity 214796: Initial number of options for activity = 143\n", - "2024-05-14 18:29:49,706 - acbm.assigning - DEBUG - Activity 214796: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:49,707 - acbm.assigning - DEBUG - Activity 214796: sampling based on floor area\n", - "2024-05-14 18:29:49,708 - acbm.assigning - DEBUG - Activity 214797: Initial number of options for activity = 143\n", - "2024-05-14 18:29:49,710 - acbm.assigning - DEBUG - Activity 214797: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:49,710 - acbm.assigning - DEBUG - Activity 214797: sampling based on floor area\n", - "2024-05-14 18:29:49,711 - acbm.assigning - DEBUG - Activity 214803: Initial number of options for activity = 187\n", - "2024-05-14 18:29:49,714 - acbm.assigning - DEBUG - Activity 214803: Number of options after filtering by education type: 187\n", - "2024-05-14 18:29:49,715 - acbm.assigning - DEBUG - Activity 214803: sampling based on floor area\n", - "2024-05-14 18:29:49,716 - acbm.assigning - DEBUG - Activity 214804: Initial number of options for activity = 143\n", - "2024-05-14 18:29:49,718 - acbm.assigning - DEBUG - Activity 214804: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:49,719 - acbm.assigning - DEBUG - Activity 214804: sampling based on floor area\n", - "2024-05-14 18:29:49,720 - acbm.assigning - DEBUG - Activity 214808: Initial number of options for activity = 143\n", - "2024-05-14 18:29:49,722 - acbm.assigning - DEBUG - Activity 214808: Number of options after filtering by education type: 143\n", - "2024-05-14 18:29:49,723 - acbm.assigning - DEBUG - Activity 214808: sampling based on floor area\n", - "2024-05-14 18:29:49,724 - acbm.assigning - DEBUG - Activity 214874: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,725 - acbm.assigning - DEBUG - Activity 214874: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,726 - acbm.assigning - DEBUG - Activity 214874: sampling based on floor area\n", - "2024-05-14 18:29:49,728 - acbm.assigning - DEBUG - Activity 214876: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,730 - acbm.assigning - DEBUG - Activity 214876: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,730 - acbm.assigning - DEBUG - Activity 214876: sampling based on floor area\n", - "2024-05-14 18:29:49,732 - acbm.assigning - DEBUG - Activity 214878: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,733 - acbm.assigning - DEBUG - Activity 214878: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,734 - acbm.assigning - DEBUG - Activity 214878: sampling based on floor area\n", - "2024-05-14 18:29:49,735 - acbm.assigning - DEBUG - Activity 214880: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,737 - acbm.assigning - DEBUG - Activity 214880: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,738 - acbm.assigning - DEBUG - Activity 214880: sampling based on floor area\n", - "2024-05-14 18:29:49,739 - acbm.assigning - DEBUG - Activity 214882: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,741 - acbm.assigning - DEBUG - Activity 214882: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,742 - acbm.assigning - DEBUG - Activity 214882: sampling based on floor area\n", - "2024-05-14 18:29:49,743 - acbm.assigning - DEBUG - Activity 214884: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,744 - acbm.assigning - DEBUG - Activity 214884: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,744 - acbm.assigning - DEBUG - Activity 214884: sampling based on floor area\n", - "2024-05-14 18:29:49,746 - acbm.assigning - DEBUG - Activity 214886: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,747 - acbm.assigning - DEBUG - Activity 214886: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,748 - acbm.assigning - DEBUG - Activity 214886: sampling based on floor area\n", - "2024-05-14 18:29:49,749 - acbm.assigning - DEBUG - Activity 214888: Initial number of options for activity = 105\n", - "2024-05-14 18:29:49,751 - acbm.assigning - DEBUG - Activity 214888: Number of options after filtering by education type: 105\n", - "2024-05-14 18:29:49,751 - acbm.assigning - DEBUG - Activity 214888: sampling based on floor area\n", - "2024-05-14 18:29:49,752 - acbm.assigning - DEBUG - Activity 214889: Initial number of options for activity = 37\n", - "2024-05-14 18:29:49,754 - acbm.assigning - DEBUG - Activity 214889: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:49,755 - acbm.assigning - DEBUG - Activity 214889: sampling based on floor area\n", - "2024-05-14 18:29:49,756 - acbm.assigning - DEBUG - Activity 214891: Initial number of options for activity = 37\n", - "2024-05-14 18:29:49,758 - acbm.assigning - DEBUG - Activity 214891: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:49,758 - acbm.assigning - DEBUG - Activity 214891: sampling based on floor area\n", - "2024-05-14 18:29:49,759 - acbm.assigning - DEBUG - Activity 214893: Initial number of options for activity = 37\n", - "2024-05-14 18:29:49,761 - acbm.assigning - DEBUG - Activity 214893: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:49,762 - acbm.assigning - DEBUG - Activity 214893: sampling based on floor area\n", - "2024-05-14 18:29:49,764 - acbm.assigning - DEBUG - Activity 214895: Initial number of options for activity = 37\n", - "2024-05-14 18:29:49,766 - acbm.assigning - DEBUG - Activity 214895: Number of options after filtering by education type: 37\n", - "2024-05-14 18:29:49,767 - acbm.assigning - DEBUG - Activity 214895: sampling based on floor area\n", - "2024-05-14 18:29:49,768 - acbm.assigning - DEBUG - Activity 214944: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,770 - acbm.assigning - DEBUG - Activity 214944: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,770 - acbm.assigning - DEBUG - Activity 214944: sampling based on floor area\n", - "2024-05-14 18:29:49,771 - acbm.assigning - DEBUG - Activity 214947: Initial number of options for activity = 3\n", - "2024-05-14 18:29:49,773 - acbm.assigning - DEBUG - Activity 214947: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:49,774 - acbm.assigning - DEBUG - Activity 214947: sampling based on floor area\n", - "2024-05-14 18:29:49,775 - acbm.assigning - DEBUG - Activity 214949: Initial number of options for activity = 5\n", - "2024-05-14 18:29:49,777 - acbm.assigning - DEBUG - Activity 214949: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:49,778 - acbm.assigning - DEBUG - Activity 214949: sampling based on floor area\n", - "2024-05-14 18:29:49,779 - acbm.assigning - DEBUG - Activity 214951: Initial number of options for activity = 7\n", - "2024-05-14 18:29:49,782 - acbm.assigning - DEBUG - Activity 214951: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:49,783 - acbm.assigning - DEBUG - Activity 214951: sampling based on floor area\n", - "2024-05-14 18:29:49,784 - acbm.assigning - DEBUG - Activity 214955: Initial number of options for activity = 79\n", - "2024-05-14 18:29:49,787 - acbm.assigning - DEBUG - Activity 214955: Number of options after filtering by education type: 79\n", - "2024-05-14 18:29:49,788 - acbm.assigning - DEBUG - Activity 214955: sampling based on floor area\n", - "2024-05-14 18:29:49,789 - acbm.assigning - DEBUG - Activity 214957: Initial number of options for activity = 133\n", - "2024-05-14 18:29:49,790 - acbm.assigning - DEBUG - Activity 214957: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:49,791 - acbm.assigning - DEBUG - Activity 214957: sampling based on floor area\n", - "2024-05-14 18:29:49,792 - acbm.assigning - DEBUG - Activity 214959: Initial number of options for activity = 123\n", - "2024-05-14 18:29:49,795 - acbm.assigning - DEBUG - Activity 214959: Number of options after filtering by education type: 123\n", - "2024-05-14 18:29:49,796 - acbm.assigning - DEBUG - Activity 214959: sampling based on floor area\n", - "2024-05-14 18:29:49,797 - acbm.assigning - DEBUG - Activity 214961: Initial number of options for activity = 162\n", - "2024-05-14 18:29:49,799 - acbm.assigning - DEBUG - Activity 214961: Number of options after filtering by education type: 162\n", - "2024-05-14 18:29:49,800 - acbm.assigning - DEBUG - Activity 214961: sampling based on floor area\n", - "2024-05-14 18:29:49,801 - acbm.assigning - DEBUG - Activity 214963: Initial number of options for activity = 133\n", - "2024-05-14 18:29:49,804 - acbm.assigning - DEBUG - Activity 214963: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:49,805 - acbm.assigning - DEBUG - Activity 214963: sampling based on floor area\n", - "2024-05-14 18:29:49,806 - acbm.assigning - INFO - Activity 215061: No zones available\n", - "2024-05-14 18:29:49,807 - acbm.assigning - INFO - Activity 215063: No zones available\n", - "2024-05-14 18:29:49,807 - acbm.assigning - INFO - Activity 215064: No zones available\n", - "2024-05-14 18:29:49,808 - acbm.assigning - INFO - Activity 215066: No zones available\n", - "2024-05-14 18:29:49,809 - acbm.assigning - INFO - Activity 215067: No zones available\n", - "2024-05-14 18:29:49,809 - acbm.assigning - INFO - Activity 215070: No zones available\n", - "2024-05-14 18:29:49,810 - acbm.assigning - DEBUG - Activity 215228: Initial number of options for activity = 66\n", - "2024-05-14 18:29:49,811 - acbm.assigning - DEBUG - Activity 215228: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:49,812 - acbm.assigning - DEBUG - Activity 215228: sampling based on floor area\n", - "2024-05-14 18:29:49,813 - acbm.assigning - DEBUG - Activity 215230: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,815 - acbm.assigning - DEBUG - Activity 215230: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,816 - acbm.assigning - DEBUG - Activity 215230: sampling based on floor area\n", - "2024-05-14 18:29:49,817 - acbm.assigning - DEBUG - Activity 215231: Initial number of options for activity = 66\n", - "2024-05-14 18:29:49,819 - acbm.assigning - DEBUG - Activity 215231: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:49,820 - acbm.assigning - DEBUG - Activity 215231: sampling based on floor area\n", - "2024-05-14 18:29:49,821 - acbm.assigning - DEBUG - Activity 215236: Initial number of options for activity = 130\n", - "2024-05-14 18:29:49,822 - acbm.assigning - DEBUG - Activity 215236: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:49,823 - acbm.assigning - DEBUG - Activity 215236: sampling based on floor area\n", - "2024-05-14 18:29:49,824 - acbm.assigning - DEBUG - Activity 215238: Initial number of options for activity = 66\n", - "2024-05-14 18:29:49,827 - acbm.assigning - DEBUG - Activity 215238: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:49,827 - acbm.assigning - DEBUG - Activity 215238: sampling based on floor area\n", - "2024-05-14 18:29:49,828 - acbm.assigning - DEBUG - Activity 215246: Initial number of options for activity = 130\n", - "2024-05-14 18:29:49,830 - acbm.assigning - DEBUG - Activity 215246: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:49,830 - acbm.assigning - DEBUG - Activity 215246: sampling based on floor area\n", - "2024-05-14 18:29:49,831 - acbm.assigning - DEBUG - Activity 215250: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,833 - acbm.assigning - DEBUG - Activity 215250: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,834 - acbm.assigning - DEBUG - Activity 215250: sampling based on floor area\n", - "2024-05-14 18:29:49,835 - acbm.assigning - DEBUG - Activity 215252: Initial number of options for activity = 66\n", - "2024-05-14 18:29:49,838 - acbm.assigning - DEBUG - Activity 215252: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:49,838 - acbm.assigning - DEBUG - Activity 215252: sampling based on floor area\n", - "2024-05-14 18:29:49,839 - acbm.assigning - DEBUG - Activity 215253: Initial number of options for activity = 66\n", - "2024-05-14 18:29:49,841 - acbm.assigning - DEBUG - Activity 215253: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:49,842 - acbm.assigning - DEBUG - Activity 215253: sampling based on floor area\n", - "2024-05-14 18:29:49,843 - acbm.assigning - DEBUG - Activity 215254: Initial number of options for activity = 66\n", - "2024-05-14 18:29:49,844 - acbm.assigning - DEBUG - Activity 215254: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:49,845 - acbm.assigning - DEBUG - Activity 215254: sampling based on floor area\n", - "2024-05-14 18:29:49,845 - acbm.assigning - INFO - Activity 215408: No zones available\n", - "2024-05-14 18:29:49,846 - acbm.assigning - DEBUG - Activity 215542: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,847 - acbm.assigning - DEBUG - Activity 215542: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,848 - acbm.assigning - DEBUG - Activity 215542: sampling based on floor area\n", - "2024-05-14 18:29:49,850 - acbm.assigning - DEBUG - Activity 215593: Initial number of options for activity = 47\n", - "2024-05-14 18:29:49,852 - acbm.assigning - DEBUG - Activity 215593: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:49,853 - acbm.assigning - DEBUG - Activity 215593: sampling based on floor area\n", - "2024-05-14 18:29:49,854 - acbm.assigning - DEBUG - Activity 215595: Initial number of options for activity = 47\n", - "2024-05-14 18:29:49,857 - acbm.assigning - DEBUG - Activity 215595: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:49,858 - acbm.assigning - DEBUG - Activity 215595: sampling based on floor area\n", - "2024-05-14 18:29:49,859 - acbm.assigning - DEBUG - Activity 215597: Initial number of options for activity = 47\n", - "2024-05-14 18:29:49,861 - acbm.assigning - DEBUG - Activity 215597: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:49,862 - acbm.assigning - DEBUG - Activity 215597: sampling based on floor area\n", - "2024-05-14 18:29:49,863 - acbm.assigning - DEBUG - Activity 215599: Initial number of options for activity = 47\n", - "2024-05-14 18:29:49,865 - acbm.assigning - DEBUG - Activity 215599: Number of options after filtering by education type: 47\n", - "2024-05-14 18:29:49,865 - acbm.assigning - DEBUG - Activity 215599: sampling based on floor area\n", - "2024-05-14 18:29:49,866 - acbm.assigning - DEBUG - Activity 215720: Initial number of options for activity = 54\n", - "2024-05-14 18:29:49,868 - acbm.assigning - DEBUG - Activity 215720: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:49,869 - acbm.assigning - DEBUG - Activity 215720: sampling based on floor area\n", - "2024-05-14 18:29:49,871 - acbm.assigning - DEBUG - Activity 215722: Initial number of options for activity = 54\n", - "2024-05-14 18:29:49,873 - acbm.assigning - DEBUG - Activity 215722: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:49,874 - acbm.assigning - DEBUG - Activity 215722: sampling based on floor area\n", - "2024-05-14 18:29:49,875 - acbm.assigning - DEBUG - Activity 215724: Initial number of options for activity = 54\n", - "2024-05-14 18:29:49,878 - acbm.assigning - DEBUG - Activity 215724: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:49,878 - acbm.assigning - DEBUG - Activity 215724: sampling based on floor area\n", - "2024-05-14 18:29:49,880 - acbm.assigning - DEBUG - Activity 215726: Initial number of options for activity = 54\n", - "2024-05-14 18:29:49,881 - acbm.assigning - DEBUG - Activity 215726: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:49,882 - acbm.assigning - DEBUG - Activity 215726: sampling based on floor area\n", - "2024-05-14 18:29:49,883 - acbm.assigning - INFO - Activity 215804: No zones available\n", - "2024-05-14 18:29:49,884 - acbm.assigning - INFO - Activity 215836: No zones available\n", - "2024-05-14 18:29:49,884 - acbm.assigning - DEBUG - Activity 215978: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,886 - acbm.assigning - DEBUG - Activity 215978: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,887 - acbm.assigning - DEBUG - Activity 215978: sampling based on floor area\n", - "2024-05-14 18:29:49,888 - acbm.assigning - DEBUG - Activity 216245: Initial number of options for activity = 63\n", - "2024-05-14 18:29:49,889 - acbm.assigning - DEBUG - Activity 216245: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:49,890 - acbm.assigning - DEBUG - Activity 216245: sampling based on floor area\n", - "2024-05-14 18:29:49,891 - acbm.assigning - DEBUG - Activity 216259: Initial number of options for activity = 63\n", - "2024-05-14 18:29:49,893 - acbm.assigning - DEBUG - Activity 216259: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:49,894 - acbm.assigning - DEBUG - Activity 216259: sampling based on floor area\n", - "2024-05-14 18:29:49,896 - acbm.assigning - DEBUG - Activity 216265: Initial number of options for activity = 83\n", - "2024-05-14 18:29:49,899 - acbm.assigning - DEBUG - Activity 216265: Number of options after filtering by education type: 83\n", - "2024-05-14 18:29:49,900 - acbm.assigning - DEBUG - Activity 216265: sampling based on floor area\n", - "2024-05-14 18:29:49,901 - acbm.assigning - DEBUG - Activity 216268: Initial number of options for activity = 92\n", - "2024-05-14 18:29:49,903 - acbm.assigning - DEBUG - Activity 216268: Number of options after filtering by education type: 92\n", - "2024-05-14 18:29:49,904 - acbm.assigning - DEBUG - Activity 216268: sampling based on floor area\n", - "2024-05-14 18:29:49,905 - acbm.assigning - INFO - Activity 216278: No zones available\n", - "2024-05-14 18:29:49,906 - acbm.assigning - DEBUG - Activity 216315: Initial number of options for activity = 84\n", - "2024-05-14 18:29:49,908 - acbm.assigning - DEBUG - Activity 216315: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:49,910 - acbm.assigning - DEBUG - Activity 216315: sampling based on floor area\n", - "2024-05-14 18:29:49,911 - acbm.assigning - DEBUG - Activity 216316: Initial number of options for activity = 144\n", - "2024-05-14 18:29:49,914 - acbm.assigning - DEBUG - Activity 216316: Number of options after filtering by education type: 144\n", - "2024-05-14 18:29:49,914 - acbm.assigning - DEBUG - Activity 216316: sampling based on floor area\n", - "2024-05-14 18:29:49,915 - acbm.assigning - DEBUG - Activity 216317: Initial number of options for activity = 84\n", - "2024-05-14 18:29:49,917 - acbm.assigning - DEBUG - Activity 216317: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:49,918 - acbm.assigning - DEBUG - Activity 216317: sampling based on floor area\n", - "2024-05-14 18:29:49,919 - acbm.assigning - DEBUG - Activity 216320: Initial number of options for activity = 84\n", - "2024-05-14 18:29:49,921 - acbm.assigning - DEBUG - Activity 216320: Number of options after filtering by education type: 84\n", - "2024-05-14 18:29:49,922 - acbm.assigning - DEBUG - Activity 216320: sampling based on floor area\n", - "2024-05-14 18:29:49,923 - acbm.assigning - DEBUG - Activity 216325: Initial number of options for activity = 27\n", - "2024-05-14 18:29:49,925 - acbm.assigning - DEBUG - Activity 216325: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:49,925 - acbm.assigning - DEBUG - Activity 216325: sampling based on floor area\n", - "2024-05-14 18:29:49,926 - acbm.assigning - DEBUG - Activity 216500: Initial number of options for activity = 116\n", - "2024-05-14 18:29:49,928 - acbm.assigning - DEBUG - Activity 216500: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:49,929 - acbm.assigning - DEBUG - Activity 216500: sampling based on floor area\n", - "2024-05-14 18:29:49,930 - acbm.assigning - DEBUG - Activity 216502: Initial number of options for activity = 116\n", - "2024-05-14 18:29:49,932 - acbm.assigning - DEBUG - Activity 216502: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:49,933 - acbm.assigning - DEBUG - Activity 216502: sampling based on floor area\n", - "2024-05-14 18:29:49,934 - acbm.assigning - DEBUG - Activity 216506: Initial number of options for activity = 116\n", - "2024-05-14 18:29:49,936 - acbm.assigning - DEBUG - Activity 216506: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:49,936 - acbm.assigning - DEBUG - Activity 216506: sampling based on floor area\n", - "2024-05-14 18:29:49,937 - acbm.assigning - DEBUG - Activity 216508: Initial number of options for activity = 116\n", - "2024-05-14 18:29:49,939 - acbm.assigning - DEBUG - Activity 216508: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:49,939 - acbm.assigning - DEBUG - Activity 216508: sampling based on floor area\n", - "2024-05-14 18:29:49,940 - acbm.assigning - DEBUG - Activity 216510: Initial number of options for activity = 116\n", - "2024-05-14 18:29:49,942 - acbm.assigning - DEBUG - Activity 216510: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:49,943 - acbm.assigning - DEBUG - Activity 216510: sampling based on floor area\n", - "2024-05-14 18:29:49,944 - acbm.assigning - DEBUG - Activity 216542: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,946 - acbm.assigning - DEBUG - Activity 216542: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,946 - acbm.assigning - DEBUG - Activity 216542: sampling based on floor area\n", - "2024-05-14 18:29:49,947 - acbm.assigning - DEBUG - Activity 216556: Initial number of options for activity = 19\n", - "2024-05-14 18:29:49,950 - acbm.assigning - DEBUG - Activity 216556: Number of options after filtering by education type: 19\n", - "2024-05-14 18:29:49,951 - acbm.assigning - DEBUG - Activity 216556: sampling based on floor area\n", - "2024-05-14 18:29:49,952 - acbm.assigning - DEBUG - Activity 216562: Initial number of options for activity = 28\n", - "2024-05-14 18:29:49,954 - acbm.assigning - DEBUG - Activity 216562: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:49,954 - acbm.assigning - DEBUG - Activity 216562: sampling based on floor area\n", - "2024-05-14 18:29:49,955 - acbm.assigning - DEBUG - Activity 216565: Initial number of options for activity = 30\n", - "2024-05-14 18:29:49,957 - acbm.assigning - DEBUG - Activity 216565: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:49,957 - acbm.assigning - DEBUG - Activity 216565: sampling based on floor area\n", - "2024-05-14 18:29:49,958 - acbm.assigning - DEBUG - Activity 216688: Initial number of options for activity = 12\n", - "2024-05-14 18:29:49,960 - acbm.assigning - DEBUG - Activity 216688: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:49,961 - acbm.assigning - DEBUG - Activity 216688: sampling based on floor area\n", - "2024-05-14 18:29:49,962 - acbm.assigning - DEBUG - Activity 216691: Initial number of options for activity = 12\n", - "2024-05-14 18:29:49,963 - acbm.assigning - DEBUG - Activity 216691: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:49,964 - acbm.assigning - DEBUG - Activity 216691: sampling based on floor area\n", - "2024-05-14 18:29:49,965 - acbm.assigning - DEBUG - Activity 216692: Initial number of options for activity = 12\n", - "2024-05-14 18:29:49,967 - acbm.assigning - DEBUG - Activity 216692: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:49,968 - acbm.assigning - DEBUG - Activity 216692: sampling based on floor area\n", - "2024-05-14 18:29:49,970 - acbm.assigning - DEBUG - Activity 216693: Initial number of options for activity = 12\n", - "2024-05-14 18:29:49,972 - acbm.assigning - DEBUG - Activity 216693: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:49,972 - acbm.assigning - DEBUG - Activity 216693: sampling based on floor area\n", - "2024-05-14 18:29:49,973 - acbm.assigning - DEBUG - Activity 216697: Initial number of options for activity = 12\n", - "2024-05-14 18:29:49,975 - acbm.assigning - DEBUG - Activity 216697: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:49,975 - acbm.assigning - DEBUG - Activity 216697: sampling based on floor area\n", - "2024-05-14 18:29:49,976 - acbm.assigning - DEBUG - Activity 216825: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,978 - acbm.assigning - DEBUG - Activity 216825: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,978 - acbm.assigning - DEBUG - Activity 216825: sampling based on floor area\n", - "2024-05-14 18:29:49,979 - acbm.assigning - DEBUG - Activity 216827: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,981 - acbm.assigning - DEBUG - Activity 216827: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,981 - acbm.assigning - DEBUG - Activity 216827: sampling based on floor area\n", - "2024-05-14 18:29:49,982 - acbm.assigning - DEBUG - Activity 216829: Initial number of options for activity = 4\n", - "2024-05-14 18:29:49,984 - acbm.assigning - DEBUG - Activity 216829: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:49,984 - acbm.assigning - DEBUG - Activity 216829: sampling based on floor area\n", - "2024-05-14 18:29:49,985 - acbm.assigning - DEBUG - Activity 216913: Initial number of options for activity = 21\n", - "2024-05-14 18:29:49,987 - acbm.assigning - DEBUG - Activity 216913: Number of options after filtering by education type: 21\n", - "2024-05-14 18:29:49,988 - acbm.assigning - DEBUG - Activity 216913: sampling based on floor area\n", - "2024-05-14 18:29:49,989 - acbm.assigning - DEBUG - Activity 216917: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,991 - acbm.assigning - DEBUG - Activity 216917: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,992 - acbm.assigning - DEBUG - Activity 216917: sampling based on floor area\n", - "2024-05-14 18:29:49,993 - acbm.assigning - DEBUG - Activity 216918: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,995 - acbm.assigning - DEBUG - Activity 216918: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,995 - acbm.assigning - DEBUG - Activity 216918: sampling based on floor area\n", - "2024-05-14 18:29:49,996 - acbm.assigning - DEBUG - Activity 216919: Initial number of options for activity = 1\n", - "2024-05-14 18:29:49,997 - acbm.assigning - DEBUG - Activity 216919: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:49,998 - acbm.assigning - DEBUG - Activity 216919: sampling based on floor area\n", - "2024-05-14 18:29:49,999 - acbm.assigning - DEBUG - Activity 216921: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,000 - acbm.assigning - DEBUG - Activity 216921: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,001 - acbm.assigning - DEBUG - Activity 216921: sampling based on floor area\n", - "2024-05-14 18:29:50,002 - acbm.assigning - DEBUG - Activity 217144: Initial number of options for activity = 13\n", - "2024-05-14 18:29:50,003 - acbm.assigning - DEBUG - Activity 217144: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:50,004 - acbm.assigning - DEBUG - Activity 217144: sampling based on floor area\n", - "2024-05-14 18:29:50,005 - acbm.assigning - DEBUG - Activity 217148: Initial number of options for activity = 12\n", - "2024-05-14 18:29:50,007 - acbm.assigning - DEBUG - Activity 217148: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:50,007 - acbm.assigning - DEBUG - Activity 217148: sampling based on floor area\n", - "2024-05-14 18:29:50,008 - acbm.assigning - DEBUG - Activity 217149: Initial number of options for activity = 12\n", - "2024-05-14 18:29:50,010 - acbm.assigning - DEBUG - Activity 217149: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:50,010 - acbm.assigning - DEBUG - Activity 217149: sampling based on floor area\n", - "2024-05-14 18:29:50,011 - acbm.assigning - DEBUG - Activity 217364: Initial number of options for activity = 111\n", - "2024-05-14 18:29:50,013 - acbm.assigning - DEBUG - Activity 217364: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:50,014 - acbm.assigning - DEBUG - Activity 217364: sampling based on floor area\n", - "2024-05-14 18:29:50,015 - acbm.assigning - DEBUG - Activity 217366: Initial number of options for activity = 111\n", - "2024-05-14 18:29:50,017 - acbm.assigning - DEBUG - Activity 217366: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:50,018 - acbm.assigning - DEBUG - Activity 217366: sampling based on floor area\n", - "2024-05-14 18:29:50,020 - acbm.assigning - DEBUG - Activity 217370: Initial number of options for activity = 111\n", - "2024-05-14 18:29:50,022 - acbm.assigning - DEBUG - Activity 217370: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:50,023 - acbm.assigning - DEBUG - Activity 217370: sampling based on floor area\n", - "2024-05-14 18:29:50,024 - acbm.assigning - DEBUG - Activity 217372: Initial number of options for activity = 111\n", - "2024-05-14 18:29:50,025 - acbm.assigning - DEBUG - Activity 217372: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:50,026 - acbm.assigning - DEBUG - Activity 217372: sampling based on floor area\n", - "2024-05-14 18:29:50,027 - acbm.assigning - DEBUG - Activity 217374: Initial number of options for activity = 111\n", - "2024-05-14 18:29:50,028 - acbm.assigning - DEBUG - Activity 217374: Number of options after filtering by education type: 111\n", - "2024-05-14 18:29:50,028 - acbm.assigning - DEBUG - Activity 217374: sampling based on floor area\n", - "2024-05-14 18:29:50,029 - acbm.assigning - DEBUG - Activity 217459: Initial number of options for activity = 163\n", - "2024-05-14 18:29:50,031 - acbm.assigning - DEBUG - Activity 217459: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:50,032 - acbm.assigning - DEBUG - Activity 217459: sampling based on floor area\n", - "2024-05-14 18:29:50,033 - acbm.assigning - DEBUG - Activity 217461: Initial number of options for activity = 163\n", - "2024-05-14 18:29:50,036 - acbm.assigning - DEBUG - Activity 217461: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:50,036 - acbm.assigning - DEBUG - Activity 217461: sampling based on floor area\n", - "2024-05-14 18:29:50,037 - acbm.assigning - DEBUG - Activity 217463: Initial number of options for activity = 163\n", - "2024-05-14 18:29:50,039 - acbm.assigning - DEBUG - Activity 217463: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:50,040 - acbm.assigning - DEBUG - Activity 217463: sampling based on floor area\n", - "2024-05-14 18:29:50,041 - acbm.assigning - DEBUG - Activity 217465: Initial number of options for activity = 163\n", - "2024-05-14 18:29:50,042 - acbm.assigning - DEBUG - Activity 217465: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:50,043 - acbm.assigning - DEBUG - Activity 217465: sampling based on floor area\n", - "2024-05-14 18:29:50,044 - acbm.assigning - DEBUG - Activity 217469: Initial number of options for activity = 163\n", - "2024-05-14 18:29:50,045 - acbm.assigning - DEBUG - Activity 217469: Number of options after filtering by education type: 163\n", - "2024-05-14 18:29:50,046 - acbm.assigning - DEBUG - Activity 217469: sampling based on floor area\n", - "2024-05-14 18:29:50,047 - acbm.assigning - INFO - Activity 217489: No zones available\n", - "2024-05-14 18:29:50,047 - acbm.assigning - INFO - Activity 217491: No zones available\n", - "2024-05-14 18:29:50,048 - acbm.assigning - INFO - Activity 217493: No zones available\n", - "2024-05-14 18:29:50,048 - acbm.assigning - INFO - Activity 217495: No zones available\n", - "2024-05-14 18:29:50,049 - acbm.assigning - INFO - Activity 217533: No zones available\n", - "2024-05-14 18:29:50,049 - acbm.assigning - INFO - Activity 217538: No zones available\n", - "2024-05-14 18:29:50,050 - acbm.assigning - INFO - Activity 217544: No zones available\n", - "2024-05-14 18:29:50,050 - acbm.assigning - INFO - Activity 217546: No zones available\n", - "2024-05-14 18:29:50,050 - acbm.assigning - INFO - Activity 217550: No zones available\n", - "2024-05-14 18:29:50,051 - acbm.assigning - INFO - Activity 217554: No zones available\n", - "2024-05-14 18:29:50,051 - acbm.assigning - DEBUG - Activity 218291: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,053 - acbm.assigning - DEBUG - Activity 218291: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,054 - acbm.assigning - DEBUG - Activity 218291: sampling based on floor area\n", - "2024-05-14 18:29:50,055 - acbm.assigning - DEBUG - Activity 218303: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,057 - acbm.assigning - DEBUG - Activity 218303: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,057 - acbm.assigning - DEBUG - Activity 218303: sampling based on floor area\n", - "2024-05-14 18:29:50,059 - acbm.assigning - DEBUG - Activity 218469: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,061 - acbm.assigning - DEBUG - Activity 218469: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,062 - acbm.assigning - DEBUG - Activity 218469: sampling based on floor area\n", - "2024-05-14 18:29:50,063 - acbm.assigning - DEBUG - Activity 218472: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,065 - acbm.assigning - DEBUG - Activity 218472: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,065 - acbm.assigning - DEBUG - Activity 218472: sampling based on floor area\n", - "2024-05-14 18:29:50,066 - acbm.assigning - DEBUG - Activity 218474: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,068 - acbm.assigning - DEBUG - Activity 218474: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,069 - acbm.assigning - DEBUG - Activity 218474: sampling based on floor area\n", - "2024-05-14 18:29:50,070 - acbm.assigning - DEBUG - Activity 218476: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,072 - acbm.assigning - DEBUG - Activity 218476: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,072 - acbm.assigning - DEBUG - Activity 218476: sampling based on floor area\n", - "2024-05-14 18:29:50,073 - acbm.assigning - DEBUG - Activity 218477: Initial number of options for activity = 91\n", - "2024-05-14 18:29:50,075 - acbm.assigning - DEBUG - Activity 218477: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:50,076 - acbm.assigning - DEBUG - Activity 218477: sampling based on floor area\n", - "2024-05-14 18:29:50,077 - acbm.assigning - DEBUG - Activity 218929: Initial number of options for activity = 137\n", - "2024-05-14 18:29:50,078 - acbm.assigning - DEBUG - Activity 218929: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:50,079 - acbm.assigning - DEBUG - Activity 218929: sampling based on floor area\n", - "2024-05-14 18:29:50,079 - acbm.assigning - DEBUG - Activity 218930: Initial number of options for activity = 137\n", - "2024-05-14 18:29:50,081 - acbm.assigning - DEBUG - Activity 218930: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:50,081 - acbm.assigning - DEBUG - Activity 218930: sampling based on floor area\n", - "2024-05-14 18:29:50,082 - acbm.assigning - DEBUG - Activity 218933: Initial number of options for activity = 137\n", - "2024-05-14 18:29:50,084 - acbm.assigning - DEBUG - Activity 218933: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:50,085 - acbm.assigning - DEBUG - Activity 218933: sampling based on floor area\n", - "2024-05-14 18:29:50,086 - acbm.assigning - DEBUG - Activity 218934: Initial number of options for activity = 137\n", - "2024-05-14 18:29:50,088 - acbm.assigning - DEBUG - Activity 218934: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:50,089 - acbm.assigning - DEBUG - Activity 218934: sampling based on floor area\n", - "2024-05-14 18:29:50,090 - acbm.assigning - DEBUG - Activity 219007: Initial number of options for activity = 36\n", - "2024-05-14 18:29:50,091 - acbm.assigning - DEBUG - Activity 219007: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:50,092 - acbm.assigning - DEBUG - Activity 219007: sampling based on floor area\n", - "2024-05-14 18:29:50,093 - acbm.assigning - DEBUG - Activity 219008: Initial number of options for activity = 36\n", - "2024-05-14 18:29:50,095 - acbm.assigning - DEBUG - Activity 219008: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:50,096 - acbm.assigning - DEBUG - Activity 219008: sampling based on floor area\n", - "2024-05-14 18:29:50,097 - acbm.assigning - DEBUG - Activity 219009: Initial number of options for activity = 36\n", - "2024-05-14 18:29:50,099 - acbm.assigning - DEBUG - Activity 219009: Number of options after filtering by education type: 36\n", - "2024-05-14 18:29:50,100 - acbm.assigning - DEBUG - Activity 219009: sampling based on floor area\n", - "2024-05-14 18:29:50,101 - acbm.assigning - DEBUG - Activity 219032: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,102 - acbm.assigning - DEBUG - Activity 219032: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,103 - acbm.assigning - DEBUG - Activity 219032: sampling based on floor area\n", - "2024-05-14 18:29:50,104 - acbm.assigning - DEBUG - Activity 219112: Initial number of options for activity = 81\n", - "2024-05-14 18:29:50,106 - acbm.assigning - DEBUG - Activity 219112: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:50,107 - acbm.assigning - DEBUG - Activity 219112: sampling based on floor area\n", - "2024-05-14 18:29:50,108 - acbm.assigning - DEBUG - Activity 219114: Initial number of options for activity = 81\n", - "2024-05-14 18:29:50,109 - acbm.assigning - DEBUG - Activity 219114: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:50,110 - acbm.assigning - DEBUG - Activity 219114: sampling based on floor area\n", - "2024-05-14 18:29:50,111 - acbm.assigning - DEBUG - Activity 219116: Initial number of options for activity = 81\n", - "2024-05-14 18:29:50,113 - acbm.assigning - DEBUG - Activity 219116: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:50,113 - acbm.assigning - DEBUG - Activity 219116: sampling based on floor area\n", - "2024-05-14 18:29:50,114 - acbm.assigning - DEBUG - Activity 219118: Initial number of options for activity = 81\n", - "2024-05-14 18:29:50,116 - acbm.assigning - DEBUG - Activity 219118: Number of options after filtering by education type: 81\n", - "2024-05-14 18:29:50,117 - acbm.assigning - DEBUG - Activity 219118: sampling based on floor area\n", - "2024-05-14 18:29:50,118 - acbm.assigning - DEBUG - Activity 219209: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,120 - acbm.assigning - DEBUG - Activity 219209: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,120 - acbm.assigning - DEBUG - Activity 219209: sampling based on floor area\n", - "2024-05-14 18:29:50,121 - acbm.assigning - DEBUG - Activity 219211: Initial number of options for activity = 157\n", - "2024-05-14 18:29:50,123 - acbm.assigning - DEBUG - Activity 219211: Number of options after filtering by education type: 157\n", - "2024-05-14 18:29:50,123 - acbm.assigning - DEBUG - Activity 219211: sampling based on floor area\n", - "2024-05-14 18:29:50,124 - acbm.assigning - DEBUG - Activity 219750: Initial number of options for activity = 137\n", - "2024-05-14 18:29:50,126 - acbm.assigning - DEBUG - Activity 219750: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:50,127 - acbm.assigning - DEBUG - Activity 219750: sampling based on floor area\n", - "2024-05-14 18:29:50,128 - acbm.assigning - DEBUG - Activity 219754: Initial number of options for activity = 43\n", - "2024-05-14 18:29:50,130 - acbm.assigning - DEBUG - Activity 219754: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:50,130 - acbm.assigning - DEBUG - Activity 219754: sampling based on floor area\n", - "2024-05-14 18:29:50,132 - acbm.assigning - DEBUG - Activity 219756: Initial number of options for activity = 75\n", - "2024-05-14 18:29:50,134 - acbm.assigning - DEBUG - Activity 219756: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:50,135 - acbm.assigning - DEBUG - Activity 219756: sampling based on floor area\n", - "2024-05-14 18:29:50,137 - acbm.assigning - DEBUG - Activity 219757: Initial number of options for activity = 75\n", - "2024-05-14 18:29:50,139 - acbm.assigning - DEBUG - Activity 219757: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:50,140 - acbm.assigning - DEBUG - Activity 219757: sampling based on floor area\n", - "2024-05-14 18:29:50,141 - acbm.assigning - DEBUG - Activity 219758: Initial number of options for activity = 75\n", - "2024-05-14 18:29:50,143 - acbm.assigning - DEBUG - Activity 219758: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:50,144 - acbm.assigning - DEBUG - Activity 219758: sampling based on floor area\n", - "2024-05-14 18:29:50,145 - acbm.assigning - DEBUG - Activity 219762: Initial number of options for activity = 75\n", - "2024-05-14 18:29:50,146 - acbm.assigning - DEBUG - Activity 219762: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:50,147 - acbm.assigning - DEBUG - Activity 219762: sampling based on floor area\n", - "2024-05-14 18:29:50,148 - acbm.assigning - DEBUG - Activity 219764: Initial number of options for activity = 43\n", - "2024-05-14 18:29:50,150 - acbm.assigning - DEBUG - Activity 219764: Number of options after filtering by education type: 43\n", - "2024-05-14 18:29:50,151 - acbm.assigning - DEBUG - Activity 219764: sampling based on floor area\n", - "2024-05-14 18:29:50,152 - acbm.assigning - DEBUG - Activity 219765: Initial number of options for activity = 75\n", - "2024-05-14 18:29:50,154 - acbm.assigning - DEBUG - Activity 219765: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:50,155 - acbm.assigning - DEBUG - Activity 219765: sampling based on floor area\n", - "2024-05-14 18:29:50,156 - acbm.assigning - DEBUG - Activity 219770: Initial number of options for activity = 137\n", - "2024-05-14 18:29:50,157 - acbm.assigning - DEBUG - Activity 219770: Number of options after filtering by education type: 137\n", - "2024-05-14 18:29:50,158 - acbm.assigning - DEBUG - Activity 219770: sampling based on floor area\n", - "2024-05-14 18:29:50,159 - acbm.assigning - DEBUG - Activity 219772: Initial number of options for activity = 75\n", - "2024-05-14 18:29:50,161 - acbm.assigning - DEBUG - Activity 219772: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:50,162 - acbm.assigning - DEBUG - Activity 219772: sampling based on floor area\n", - "2024-05-14 18:29:50,165 - acbm.assigning - DEBUG - Activity 219799: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,167 - acbm.assigning - DEBUG - Activity 219799: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,169 - acbm.assigning - DEBUG - Activity 219799: sampling based on floor area\n", - "2024-05-14 18:29:50,170 - acbm.assigning - DEBUG - Activity 219801: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,173 - acbm.assigning - DEBUG - Activity 219801: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,175 - acbm.assigning - DEBUG - Activity 219801: sampling based on floor area\n", - "2024-05-14 18:29:50,176 - acbm.assigning - DEBUG - Activity 219802: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,179 - acbm.assigning - DEBUG - Activity 219802: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,180 - acbm.assigning - DEBUG - Activity 219802: sampling based on floor area\n", - "2024-05-14 18:29:50,182 - acbm.assigning - INFO - Activity 219803: No zones available\n", - "2024-05-14 18:29:50,184 - acbm.assigning - INFO - Activity 219806: No zones available\n", - "2024-05-14 18:29:50,185 - acbm.assigning - INFO - Activity 219808: No zones available\n", - "2024-05-14 18:29:50,186 - acbm.assigning - DEBUG - Activity 219933: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,189 - acbm.assigning - DEBUG - Activity 219933: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,190 - acbm.assigning - DEBUG - Activity 219933: sampling based on floor area\n", - "2024-05-14 18:29:50,192 - acbm.assigning - INFO - Activity 220057: No zones available\n", - "2024-05-14 18:29:50,194 - acbm.assigning - INFO - Activity 220076: No zones available\n", - "2024-05-14 18:29:50,195 - acbm.assigning - INFO - Activity 220077: No zones available\n", - "2024-05-14 18:29:50,196 - acbm.assigning - INFO - Activity 220078: No zones available\n", - "2024-05-14 18:29:50,197 - acbm.assigning - DEBUG - Activity 220152: Initial number of options for activity = 67\n", - "2024-05-14 18:29:50,200 - acbm.assigning - DEBUG - Activity 220152: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:50,201 - acbm.assigning - DEBUG - Activity 220152: sampling based on floor area\n", - "2024-05-14 18:29:50,203 - acbm.assigning - DEBUG - Activity 220154: Initial number of options for activity = 67\n", - "2024-05-14 18:29:50,206 - acbm.assigning - DEBUG - Activity 220154: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:50,207 - acbm.assigning - DEBUG - Activity 220154: sampling based on floor area\n", - "2024-05-14 18:29:50,209 - acbm.assigning - INFO - Activity 220208: No zones available\n", - "2024-05-14 18:29:50,210 - acbm.assigning - INFO - Activity 220212: No zones available\n", - "2024-05-14 18:29:50,210 - acbm.assigning - INFO - Activity 220213: No zones available\n", - "2024-05-14 18:29:50,211 - acbm.assigning - INFO - Activity 220214: No zones available\n", - "2024-05-14 18:29:50,211 - acbm.assigning - DEBUG - Activity 220382: Initial number of options for activity = 95\n", - "2024-05-14 18:29:50,215 - acbm.assigning - DEBUG - Activity 220382: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:50,216 - acbm.assigning - DEBUG - Activity 220382: sampling based on floor area\n", - "2024-05-14 18:29:50,218 - acbm.assigning - DEBUG - Activity 220384: Initial number of options for activity = 95\n", - "2024-05-14 18:29:50,222 - acbm.assigning - DEBUG - Activity 220384: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:50,223 - acbm.assigning - DEBUG - Activity 220384: sampling based on floor area\n", - "2024-05-14 18:29:50,225 - acbm.assigning - DEBUG - Activity 220386: Initial number of options for activity = 95\n", - "2024-05-14 18:29:50,229 - acbm.assigning - DEBUG - Activity 220386: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:50,230 - acbm.assigning - DEBUG - Activity 220386: sampling based on floor area\n", - "2024-05-14 18:29:50,231 - acbm.assigning - DEBUG - Activity 220388: Initial number of options for activity = 95\n", - "2024-05-14 18:29:50,235 - acbm.assigning - DEBUG - Activity 220388: Number of options after filtering by education type: 95\n", - "2024-05-14 18:29:50,237 - acbm.assigning - DEBUG - Activity 220388: sampling based on floor area\n", - "2024-05-14 18:29:50,239 - acbm.assigning - DEBUG - Activity 220421: Initial number of options for activity = 30\n", - "2024-05-14 18:29:50,242 - acbm.assigning - DEBUG - Activity 220421: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:50,243 - acbm.assigning - DEBUG - Activity 220421: sampling based on floor area\n", - "2024-05-14 18:29:50,245 - acbm.assigning - DEBUG - Activity 220423: Initial number of options for activity = 30\n", - "2024-05-14 18:29:50,248 - acbm.assigning - DEBUG - Activity 220423: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:50,249 - acbm.assigning - DEBUG - Activity 220423: sampling based on floor area\n", - "2024-05-14 18:29:50,251 - acbm.assigning - DEBUG - Activity 220427: Initial number of options for activity = 30\n", - "2024-05-14 18:29:50,254 - acbm.assigning - DEBUG - Activity 220427: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:50,255 - acbm.assigning - DEBUG - Activity 220427: sampling based on floor area\n", - "2024-05-14 18:29:50,258 - acbm.assigning - DEBUG - Activity 220429: Initial number of options for activity = 30\n", - "2024-05-14 18:29:50,260 - acbm.assigning - DEBUG - Activity 220429: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:50,262 - acbm.assigning - DEBUG - Activity 220429: sampling based on floor area\n", - "2024-05-14 18:29:50,263 - acbm.assigning - DEBUG - Activity 220431: Initial number of options for activity = 30\n", - "2024-05-14 18:29:50,266 - acbm.assigning - DEBUG - Activity 220431: Number of options after filtering by education type: 30\n", - "2024-05-14 18:29:50,267 - acbm.assigning - DEBUG - Activity 220431: sampling based on floor area\n", - "2024-05-14 18:29:50,269 - acbm.assigning - DEBUG - Activity 220501: Initial number of options for activity = 156\n", - "2024-05-14 18:29:50,271 - acbm.assigning - DEBUG - Activity 220501: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:50,273 - acbm.assigning - DEBUG - Activity 220501: sampling based on floor area\n", - "2024-05-14 18:29:50,274 - acbm.assigning - DEBUG - Activity 220504: Initial number of options for activity = 49\n", - "2024-05-14 18:29:50,276 - acbm.assigning - DEBUG - Activity 220504: Number of options after filtering by education type: 49\n", - "2024-05-14 18:29:50,277 - acbm.assigning - DEBUG - Activity 220504: sampling based on floor area\n", - "2024-05-14 18:29:50,278 - acbm.assigning - DEBUG - Activity 220506: Initial number of options for activity = 80\n", - "2024-05-14 18:29:50,280 - acbm.assigning - DEBUG - Activity 220506: Number of options after filtering by education type: 80\n", - "2024-05-14 18:29:50,281 - acbm.assigning - DEBUG - Activity 220506: sampling based on floor area\n", - "2024-05-14 18:29:50,282 - acbm.assigning - DEBUG - Activity 220514: Initial number of options for activity = 75\n", - "2024-05-14 18:29:50,284 - acbm.assigning - DEBUG - Activity 220514: Number of options after filtering by education type: 75\n", - "2024-05-14 18:29:50,285 - acbm.assigning - DEBUG - Activity 220514: sampling based on floor area\n", - "2024-05-14 18:29:50,286 - acbm.assigning - DEBUG - Activity 220586: Initial number of options for activity = 107\n", - "2024-05-14 18:29:50,288 - acbm.assigning - DEBUG - Activity 220586: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:50,289 - acbm.assigning - DEBUG - Activity 220586: sampling based on floor area\n", - "2024-05-14 18:29:50,290 - acbm.assigning - DEBUG - Activity 220589: Initial number of options for activity = 116\n", - "2024-05-14 18:29:50,292 - acbm.assigning - DEBUG - Activity 220589: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:50,293 - acbm.assigning - DEBUG - Activity 220589: sampling based on floor area\n", - "2024-05-14 18:29:50,294 - acbm.assigning - DEBUG - Activity 220591: Initial number of options for activity = 116\n", - "2024-05-14 18:29:50,296 - acbm.assigning - DEBUG - Activity 220591: Number of options after filtering by education type: 116\n", - "2024-05-14 18:29:50,297 - acbm.assigning - DEBUG - Activity 220591: sampling based on floor area\n", - "2024-05-14 18:29:50,298 - acbm.assigning - DEBUG - Activity 220593: Initial number of options for activity = 107\n", - "2024-05-14 18:29:50,300 - acbm.assigning - DEBUG - Activity 220593: Number of options after filtering by education type: 107\n", - "2024-05-14 18:29:50,301 - acbm.assigning - DEBUG - Activity 220593: sampling based on floor area\n", - "2024-05-14 18:29:50,302 - acbm.assigning - DEBUG - Activity 220594: Initial number of options for activity = 145\n", - "2024-05-14 18:29:50,304 - acbm.assigning - DEBUG - Activity 220594: Number of options after filtering by education type: 145\n", - "2024-05-14 18:29:50,305 - acbm.assigning - DEBUG - Activity 220594: sampling based on floor area\n", - "2024-05-14 18:29:50,307 - acbm.assigning - DEBUG - Activity 220700: Initial number of options for activity = 73\n", - "2024-05-14 18:29:50,310 - acbm.assigning - DEBUG - Activity 220700: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:50,310 - acbm.assigning - DEBUG - Activity 220700: sampling based on floor area\n", - "2024-05-14 18:29:50,312 - acbm.assigning - DEBUG - Activity 220702: Initial number of options for activity = 73\n", - "2024-05-14 18:29:50,314 - acbm.assigning - DEBUG - Activity 220702: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:50,315 - acbm.assigning - DEBUG - Activity 220702: sampling based on floor area\n", - "2024-05-14 18:29:50,317 - acbm.assigning - DEBUG - Activity 220704: Initial number of options for activity = 73\n", - "2024-05-14 18:29:50,320 - acbm.assigning - DEBUG - Activity 220704: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:50,321 - acbm.assigning - DEBUG - Activity 220704: sampling based on floor area\n", - "2024-05-14 18:29:50,323 - acbm.assigning - DEBUG - Activity 220706: Initial number of options for activity = 73\n", - "2024-05-14 18:29:50,325 - acbm.assigning - DEBUG - Activity 220706: Number of options after filtering by education type: 73\n", - "2024-05-14 18:29:50,326 - acbm.assigning - DEBUG - Activity 220706: sampling based on floor area\n", - "2024-05-14 18:29:50,327 - acbm.assigning - DEBUG - Activity 220797: Initial number of options for activity = 28\n", - "2024-05-14 18:29:50,329 - acbm.assigning - DEBUG - Activity 220797: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:50,329 - acbm.assigning - DEBUG - Activity 220797: sampling based on floor area\n", - "2024-05-14 18:29:50,331 - acbm.assigning - DEBUG - Activity 220799: Initial number of options for activity = 28\n", - "2024-05-14 18:29:50,333 - acbm.assigning - DEBUG - Activity 220799: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:50,334 - acbm.assigning - DEBUG - Activity 220799: sampling based on floor area\n", - "2024-05-14 18:29:50,335 - acbm.assigning - DEBUG - Activity 220801: Initial number of options for activity = 28\n", - "2024-05-14 18:29:50,338 - acbm.assigning - DEBUG - Activity 220801: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:50,339 - acbm.assigning - DEBUG - Activity 220801: sampling based on floor area\n", - "2024-05-14 18:29:50,340 - acbm.assigning - DEBUG - Activity 220803: Initial number of options for activity = 28\n", - "2024-05-14 18:29:50,342 - acbm.assigning - DEBUG - Activity 220803: Number of options after filtering by education type: 28\n", - "2024-05-14 18:29:50,343 - acbm.assigning - DEBUG - Activity 220803: sampling based on floor area\n", - "2024-05-14 18:29:50,344 - acbm.assigning - INFO - Activity 220967: No zones available\n", - "2024-05-14 18:29:50,345 - acbm.assigning - INFO - Activity 221052: No zones available\n", - "2024-05-14 18:29:50,346 - acbm.assigning - DEBUG - Activity 221056: Initial number of options for activity = 9\n", - "2024-05-14 18:29:50,347 - acbm.assigning - DEBUG - Activity 221056: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:50,348 - acbm.assigning - DEBUG - Activity 221056: sampling based on floor area\n", - "2024-05-14 18:29:50,350 - acbm.assigning - DEBUG - Activity 221057: Initial number of options for activity = 9\n", - "2024-05-14 18:29:50,352 - acbm.assigning - DEBUG - Activity 221057: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:50,353 - acbm.assigning - DEBUG - Activity 221057: sampling based on floor area\n", - "2024-05-14 18:29:50,354 - acbm.assigning - DEBUG - Activity 221142: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,356 - acbm.assigning - DEBUG - Activity 221142: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,356 - acbm.assigning - DEBUG - Activity 221142: sampling based on floor area\n", - "2024-05-14 18:29:50,357 - acbm.assigning - DEBUG - Activity 221144: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,359 - acbm.assigning - DEBUG - Activity 221144: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,360 - acbm.assigning - DEBUG - Activity 221144: sampling based on floor area\n", - "2024-05-14 18:29:50,361 - acbm.assigning - DEBUG - Activity 221146: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,362 - acbm.assigning - DEBUG - Activity 221146: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,363 - acbm.assigning - DEBUG - Activity 221146: sampling based on floor area\n", - "2024-05-14 18:29:50,364 - acbm.assigning - DEBUG - Activity 221150: Initial number of options for activity = 17\n", - "2024-05-14 18:29:50,366 - acbm.assigning - DEBUG - Activity 221150: Number of options after filtering by education type: 17\n", - "2024-05-14 18:29:50,366 - acbm.assigning - DEBUG - Activity 221150: sampling based on floor area\n", - "2024-05-14 18:29:50,367 - acbm.assigning - DEBUG - Activity 221152: Initial number of options for activity = 7\n", - "2024-05-14 18:29:50,369 - acbm.assigning - DEBUG - Activity 221152: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:50,370 - acbm.assigning - DEBUG - Activity 221152: sampling based on floor area\n", - "2024-05-14 18:29:50,371 - acbm.assigning - DEBUG - Activity 221153: Initial number of options for activity = 54\n", - "2024-05-14 18:29:50,373 - acbm.assigning - DEBUG - Activity 221153: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:50,374 - acbm.assigning - DEBUG - Activity 221153: sampling based on floor area\n", - "2024-05-14 18:29:50,375 - acbm.assigning - DEBUG - Activity 221520: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,377 - acbm.assigning - DEBUG - Activity 221520: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,377 - acbm.assigning - DEBUG - Activity 221520: sampling based on floor area\n", - "2024-05-14 18:29:50,378 - acbm.assigning - DEBUG - Activity 221522: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,380 - acbm.assigning - DEBUG - Activity 221522: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,381 - acbm.assigning - DEBUG - Activity 221522: sampling based on floor area\n", - "2024-05-14 18:29:50,382 - acbm.assigning - DEBUG - Activity 221524: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,384 - acbm.assigning - DEBUG - Activity 221524: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,385 - acbm.assigning - DEBUG - Activity 221524: sampling based on floor area\n", - "2024-05-14 18:29:50,386 - acbm.assigning - DEBUG - Activity 221526: Initial number of options for activity = 91\n", - "2024-05-14 18:29:50,388 - acbm.assigning - DEBUG - Activity 221526: Number of options after filtering by education type: 91\n", - "2024-05-14 18:29:50,389 - acbm.assigning - DEBUG - Activity 221526: sampling based on floor area\n", - "2024-05-14 18:29:50,390 - acbm.assigning - DEBUG - Activity 221530: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,392 - acbm.assigning - DEBUG - Activity 221530: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,393 - acbm.assigning - DEBUG - Activity 221530: sampling based on floor area\n", - "2024-05-14 18:29:50,394 - acbm.assigning - DEBUG - Activity 221562: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,395 - acbm.assigning - DEBUG - Activity 221562: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,396 - acbm.assigning - DEBUG - Activity 221562: sampling based on floor area\n", - "2024-05-14 18:29:50,397 - acbm.assigning - DEBUG - Activity 221578: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,398 - acbm.assigning - DEBUG - Activity 221578: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,399 - acbm.assigning - DEBUG - Activity 221578: sampling based on floor area\n", - "2024-05-14 18:29:50,400 - acbm.assigning - DEBUG - Activity 221679: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,402 - acbm.assigning - DEBUG - Activity 221679: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,402 - acbm.assigning - DEBUG - Activity 221679: sampling based on floor area\n", - "2024-05-14 18:29:50,403 - acbm.assigning - INFO - Activity 221691: No zones available\n", - "2024-05-14 18:29:50,404 - acbm.assigning - DEBUG - Activity 221857: Initial number of options for activity = 20\n", - "2024-05-14 18:29:50,406 - acbm.assigning - DEBUG - Activity 221857: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:50,407 - acbm.assigning - DEBUG - Activity 221857: sampling based on floor area\n", - "2024-05-14 18:29:50,409 - acbm.assigning - INFO - Activity 221864: No zones available\n", - "2024-05-14 18:29:50,409 - acbm.assigning - DEBUG - Activity 221866: Initial number of options for activity = 20\n", - "2024-05-14 18:29:50,411 - acbm.assigning - DEBUG - Activity 221866: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:50,412 - acbm.assigning - DEBUG - Activity 221866: sampling based on floor area\n", - "2024-05-14 18:29:50,413 - acbm.assigning - DEBUG - Activity 221867: Initial number of options for activity = 20\n", - "2024-05-14 18:29:50,416 - acbm.assigning - DEBUG - Activity 221867: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:50,416 - acbm.assigning - DEBUG - Activity 221867: sampling based on floor area\n", - "2024-05-14 18:29:50,418 - acbm.assigning - DEBUG - Activity 221871: Initial number of options for activity = 20\n", - "2024-05-14 18:29:50,421 - acbm.assigning - DEBUG - Activity 221871: Number of options after filtering by education type: 20\n", - "2024-05-14 18:29:50,422 - acbm.assigning - DEBUG - Activity 221871: sampling based on floor area\n", - "2024-05-14 18:29:50,423 - acbm.assigning - DEBUG - Activity 222045: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,425 - acbm.assigning - DEBUG - Activity 222045: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,426 - acbm.assigning - DEBUG - Activity 222045: sampling based on floor area\n", - "2024-05-14 18:29:50,427 - acbm.assigning - DEBUG - Activity 222047: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,429 - acbm.assigning - DEBUG - Activity 222047: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,430 - acbm.assigning - DEBUG - Activity 222047: sampling based on floor area\n", - "2024-05-14 18:29:50,432 - acbm.assigning - DEBUG - Activity 222051: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,434 - acbm.assigning - DEBUG - Activity 222051: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,435 - acbm.assigning - DEBUG - Activity 222051: sampling based on floor area\n", - "2024-05-14 18:29:50,436 - acbm.assigning - DEBUG - Activity 222053: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,438 - acbm.assigning - DEBUG - Activity 222053: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,439 - acbm.assigning - DEBUG - Activity 222053: sampling based on floor area\n", - "2024-05-14 18:29:50,439 - acbm.assigning - DEBUG - Activity 222055: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,441 - acbm.assigning - DEBUG - Activity 222055: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,441 - acbm.assigning - DEBUG - Activity 222055: sampling based on floor area\n", - "2024-05-14 18:29:50,442 - acbm.assigning - DEBUG - Activity 222411: Initial number of options for activity = 122\n", - "2024-05-14 18:29:50,444 - acbm.assigning - DEBUG - Activity 222411: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:50,445 - acbm.assigning - DEBUG - Activity 222411: sampling based on floor area\n", - "2024-05-14 18:29:50,445 - acbm.assigning - DEBUG - Activity 222413: Initial number of options for activity = 122\n", - "2024-05-14 18:29:50,448 - acbm.assigning - DEBUG - Activity 222413: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:50,448 - acbm.assigning - DEBUG - Activity 222413: sampling based on floor area\n", - "2024-05-14 18:29:50,449 - acbm.assigning - DEBUG - Activity 222415: Initial number of options for activity = 122\n", - "2024-05-14 18:29:50,451 - acbm.assigning - DEBUG - Activity 222415: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:50,452 - acbm.assigning - DEBUG - Activity 222415: sampling based on floor area\n", - "2024-05-14 18:29:50,453 - acbm.assigning - DEBUG - Activity 222417: Initial number of options for activity = 122\n", - "2024-05-14 18:29:50,455 - acbm.assigning - DEBUG - Activity 222417: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:50,455 - acbm.assigning - DEBUG - Activity 222417: sampling based on floor area\n", - "2024-05-14 18:29:50,456 - acbm.assigning - DEBUG - Activity 222419: Initial number of options for activity = 122\n", - "2024-05-14 18:29:50,458 - acbm.assigning - DEBUG - Activity 222419: Number of options after filtering by education type: 122\n", - "2024-05-14 18:29:50,459 - acbm.assigning - DEBUG - Activity 222419: sampling based on floor area\n", - "2024-05-14 18:29:50,460 - acbm.assigning - DEBUG - Activity 222670: Initial number of options for activity = 58\n", - "2024-05-14 18:29:50,462 - acbm.assigning - DEBUG - Activity 222670: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:50,463 - acbm.assigning - DEBUG - Activity 222670: sampling based on floor area\n", - "2024-05-14 18:29:50,464 - acbm.assigning - DEBUG - Activity 222672: Initial number of options for activity = 58\n", - "2024-05-14 18:29:50,466 - acbm.assigning - DEBUG - Activity 222672: Number of options after filtering by education type: 58\n", - "2024-05-14 18:29:50,466 - acbm.assigning - DEBUG - Activity 222672: sampling based on floor area\n", - "2024-05-14 18:29:50,467 - acbm.assigning - INFO - Activity 222724: No zones available\n", - "2024-05-14 18:29:50,468 - acbm.assigning - DEBUG - Activity 222750: Initial number of options for activity = 12\n", - "2024-05-14 18:29:50,471 - acbm.assigning - DEBUG - Activity 222750: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:50,471 - acbm.assigning - DEBUG - Activity 222750: sampling based on floor area\n", - "2024-05-14 18:29:50,472 - acbm.assigning - DEBUG - Activity 222756: Initial number of options for activity = 7\n", - "2024-05-14 18:29:50,474 - acbm.assigning - DEBUG - Activity 222756: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:50,475 - acbm.assigning - DEBUG - Activity 222756: sampling based on floor area\n", - "2024-05-14 18:29:50,475 - acbm.assigning - DEBUG - Activity 222758: Initial number of options for activity = 7\n", - "2024-05-14 18:29:50,477 - acbm.assigning - DEBUG - Activity 222758: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:50,478 - acbm.assigning - DEBUG - Activity 222758: sampling based on floor area\n", - "2024-05-14 18:29:50,479 - acbm.assigning - DEBUG - Activity 222827: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,481 - acbm.assigning - DEBUG - Activity 222827: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,482 - acbm.assigning - DEBUG - Activity 222827: sampling based on floor area\n", - "2024-05-14 18:29:50,483 - acbm.assigning - DEBUG - Activity 222830: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,486 - acbm.assigning - DEBUG - Activity 222830: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,486 - acbm.assigning - DEBUG - Activity 222830: sampling based on floor area\n", - "2024-05-14 18:29:50,488 - acbm.assigning - DEBUG - Activity 222832: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,489 - acbm.assigning - DEBUG - Activity 222832: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,490 - acbm.assigning - DEBUG - Activity 222832: sampling based on floor area\n", - "2024-05-14 18:29:50,491 - acbm.assigning - DEBUG - Activity 222834: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,492 - acbm.assigning - DEBUG - Activity 222834: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,493 - acbm.assigning - DEBUG - Activity 222834: sampling based on floor area\n", - "2024-05-14 18:29:50,494 - acbm.assigning - DEBUG - Activity 222835: Initial number of options for activity = 64\n", - "2024-05-14 18:29:50,495 - acbm.assigning - DEBUG - Activity 222835: Number of options after filtering by education type: 64\n", - "2024-05-14 18:29:50,496 - acbm.assigning - DEBUG - Activity 222835: sampling based on floor area\n", - "2024-05-14 18:29:50,497 - acbm.assigning - DEBUG - Activity 222928: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,500 - acbm.assigning - DEBUG - Activity 222928: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,501 - acbm.assigning - DEBUG - Activity 222928: sampling based on floor area\n", - "2024-05-14 18:29:50,502 - acbm.assigning - DEBUG - Activity 223043: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,504 - acbm.assigning - DEBUG - Activity 223043: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,504 - acbm.assigning - DEBUG - Activity 223043: sampling based on floor area\n", - "2024-05-14 18:29:50,505 - acbm.assigning - DEBUG - Activity 223045: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,506 - acbm.assigning - DEBUG - Activity 223045: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,507 - acbm.assigning - DEBUG - Activity 223045: sampling based on floor area\n", - "2024-05-14 18:29:50,508 - acbm.assigning - DEBUG - Activity 223049: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,509 - acbm.assigning - DEBUG - Activity 223049: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,510 - acbm.assigning - DEBUG - Activity 223049: sampling based on floor area\n", - "2024-05-14 18:29:50,510 - acbm.assigning - DEBUG - Activity 223051: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,512 - acbm.assigning - DEBUG - Activity 223051: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,512 - acbm.assigning - DEBUG - Activity 223051: sampling based on floor area\n", - "2024-05-14 18:29:50,513 - acbm.assigning - DEBUG - Activity 223107: Initial number of options for activity = 57\n", - "2024-05-14 18:29:50,515 - acbm.assigning - DEBUG - Activity 223107: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:50,516 - acbm.assigning - DEBUG - Activity 223107: sampling based on floor area\n", - "2024-05-14 18:29:50,517 - acbm.assigning - DEBUG - Activity 223111: Initial number of options for activity = 15\n", - "2024-05-14 18:29:50,518 - acbm.assigning - DEBUG - Activity 223111: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:50,519 - acbm.assigning - DEBUG - Activity 223111: sampling based on floor area\n", - "2024-05-14 18:29:50,520 - acbm.assigning - DEBUG - Activity 223113: Initial number of options for activity = 32\n", - "2024-05-14 18:29:50,521 - acbm.assigning - DEBUG - Activity 223113: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:50,522 - acbm.assigning - DEBUG - Activity 223113: sampling based on floor area\n", - "2024-05-14 18:29:50,523 - acbm.assigning - DEBUG - Activity 223114: Initial number of options for activity = 32\n", - "2024-05-14 18:29:50,525 - acbm.assigning - DEBUG - Activity 223114: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:50,526 - acbm.assigning - DEBUG - Activity 223114: sampling based on floor area\n", - "2024-05-14 18:29:50,527 - acbm.assigning - DEBUG - Activity 223115: Initial number of options for activity = 32\n", - "2024-05-14 18:29:50,528 - acbm.assigning - DEBUG - Activity 223115: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:50,529 - acbm.assigning - DEBUG - Activity 223115: sampling based on floor area\n", - "2024-05-14 18:29:50,530 - acbm.assigning - DEBUG - Activity 223119: Initial number of options for activity = 32\n", - "2024-05-14 18:29:50,532 - acbm.assigning - DEBUG - Activity 223119: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:50,533 - acbm.assigning - DEBUG - Activity 223119: sampling based on floor area\n", - "2024-05-14 18:29:50,534 - acbm.assigning - DEBUG - Activity 223121: Initial number of options for activity = 15\n", - "2024-05-14 18:29:50,536 - acbm.assigning - DEBUG - Activity 223121: Number of options after filtering by education type: 15\n", - "2024-05-14 18:29:50,537 - acbm.assigning - DEBUG - Activity 223121: sampling based on floor area\n", - "2024-05-14 18:29:50,538 - acbm.assigning - DEBUG - Activity 223122: Initial number of options for activity = 32\n", - "2024-05-14 18:29:50,539 - acbm.assigning - DEBUG - Activity 223122: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:50,540 - acbm.assigning - DEBUG - Activity 223122: sampling based on floor area\n", - "2024-05-14 18:29:50,541 - acbm.assigning - DEBUG - Activity 223127: Initial number of options for activity = 57\n", - "2024-05-14 18:29:50,542 - acbm.assigning - DEBUG - Activity 223127: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:50,542 - acbm.assigning - DEBUG - Activity 223127: sampling based on floor area\n", - "2024-05-14 18:29:50,543 - acbm.assigning - DEBUG - Activity 223129: Initial number of options for activity = 32\n", - "2024-05-14 18:29:50,545 - acbm.assigning - DEBUG - Activity 223129: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:50,545 - acbm.assigning - DEBUG - Activity 223129: sampling based on floor area\n", - "2024-05-14 18:29:50,546 - acbm.assigning - DEBUG - Activity 223237: Initial number of options for activity = 88\n", - "2024-05-14 18:29:50,548 - acbm.assigning - DEBUG - Activity 223237: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:50,549 - acbm.assigning - DEBUG - Activity 223237: sampling based on floor area\n", - "2024-05-14 18:29:50,550 - acbm.assigning - DEBUG - Activity 223239: Initial number of options for activity = 88\n", - "2024-05-14 18:29:50,552 - acbm.assigning - DEBUG - Activity 223239: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:50,553 - acbm.assigning - DEBUG - Activity 223239: sampling based on floor area\n", - "2024-05-14 18:29:50,554 - acbm.assigning - DEBUG - Activity 223241: Initial number of options for activity = 88\n", - "2024-05-14 18:29:50,556 - acbm.assigning - DEBUG - Activity 223241: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:50,557 - acbm.assigning - DEBUG - Activity 223241: sampling based on floor area\n", - "2024-05-14 18:29:50,558 - acbm.assigning - DEBUG - Activity 223243: Initial number of options for activity = 88\n", - "2024-05-14 18:29:50,560 - acbm.assigning - DEBUG - Activity 223243: Number of options after filtering by education type: 88\n", - "2024-05-14 18:29:50,560 - acbm.assigning - DEBUG - Activity 223243: sampling based on floor area\n", - "2024-05-14 18:29:50,561 - acbm.assigning - DEBUG - Activity 223703: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,563 - acbm.assigning - DEBUG - Activity 223703: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,563 - acbm.assigning - DEBUG - Activity 223703: sampling based on floor area\n", - "2024-05-14 18:29:50,564 - acbm.assigning - DEBUG - Activity 223705: Initial number of options for activity = 54\n", - "2024-05-14 18:29:50,566 - acbm.assigning - DEBUG - Activity 223705: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:50,566 - acbm.assigning - DEBUG - Activity 223705: sampling based on floor area\n", - "2024-05-14 18:29:50,567 - acbm.assigning - DEBUG - Activity 223708: Initial number of options for activity = 54\n", - "2024-05-14 18:29:50,569 - acbm.assigning - DEBUG - Activity 223708: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:50,570 - acbm.assigning - DEBUG - Activity 223708: sampling based on floor area\n", - "2024-05-14 18:29:50,571 - acbm.assigning - DEBUG - Activity 223721: Initial number of options for activity = 54\n", - "2024-05-14 18:29:50,572 - acbm.assigning - DEBUG - Activity 223721: Number of options after filtering by education type: 54\n", - "2024-05-14 18:29:50,573 - acbm.assigning - DEBUG - Activity 223721: sampling based on floor area\n", - "2024-05-14 18:29:50,573 - acbm.assigning - INFO - Activity 223771: No zones available\n", - "2024-05-14 18:29:50,574 - acbm.assigning - INFO - Activity 224034: No zones available\n", - "2024-05-14 18:29:50,574 - acbm.assigning - DEBUG - Activity 224089: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,576 - acbm.assigning - DEBUG - Activity 224089: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,576 - acbm.assigning - DEBUG - Activity 224089: sampling based on floor area\n", - "2024-05-14 18:29:50,577 - acbm.assigning - DEBUG - Activity 224090: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,578 - acbm.assigning - DEBUG - Activity 224090: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,579 - acbm.assigning - DEBUG - Activity 224090: sampling based on floor area\n", - "2024-05-14 18:29:50,580 - acbm.assigning - DEBUG - Activity 224097: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,582 - acbm.assigning - DEBUG - Activity 224097: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,582 - acbm.assigning - DEBUG - Activity 224097: sampling based on floor area\n", - "2024-05-14 18:29:50,583 - acbm.assigning - INFO - Activity 224099: No zones available\n", - "2024-05-14 18:29:50,584 - acbm.assigning - DEBUG - Activity 224103: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,586 - acbm.assigning - DEBUG - Activity 224103: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,586 - acbm.assigning - DEBUG - Activity 224103: sampling based on floor area\n", - "2024-05-14 18:29:50,587 - acbm.assigning - DEBUG - Activity 224141: Initial number of options for activity = 133\n", - "2024-05-14 18:29:50,589 - acbm.assigning - DEBUG - Activity 224141: Number of options after filtering by education type: 133\n", - "2024-05-14 18:29:50,589 - acbm.assigning - DEBUG - Activity 224141: sampling based on floor area\n", - "2024-05-14 18:29:50,590 - acbm.assigning - DEBUG - Activity 224143: Initial number of options for activity = 156\n", - "2024-05-14 18:29:50,591 - acbm.assigning - DEBUG - Activity 224143: Number of options after filtering by education type: 156\n", - "2024-05-14 18:29:50,592 - acbm.assigning - DEBUG - Activity 224143: sampling based on floor area\n", - "2024-05-14 18:29:50,593 - acbm.assigning - DEBUG - Activity 224145: Initial number of options for activity = 62\n", - "2024-05-14 18:29:50,595 - acbm.assigning - DEBUG - Activity 224145: Number of options after filtering by education type: 62\n", - "2024-05-14 18:29:50,595 - acbm.assigning - DEBUG - Activity 224145: sampling based on floor area\n", - "2024-05-14 18:29:50,596 - acbm.assigning - INFO - Activity 224147: No zones available\n", - "2024-05-14 18:29:50,596 - acbm.assigning - DEBUG - Activity 224148: Initial number of options for activity = 57\n", - "2024-05-14 18:29:50,598 - acbm.assigning - DEBUG - Activity 224148: Number of options after filtering by education type: 57\n", - "2024-05-14 18:29:50,598 - acbm.assigning - DEBUG - Activity 224148: sampling based on floor area\n", - "2024-05-14 18:29:50,600 - acbm.assigning - DEBUG - Activity 224218: Initial number of options for activity = 3\n", - "2024-05-14 18:29:50,602 - acbm.assigning - DEBUG - Activity 224218: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:50,603 - acbm.assigning - DEBUG - Activity 224218: sampling based on floor area\n", - "2024-05-14 18:29:50,604 - acbm.assigning - DEBUG - Activity 224233: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,605 - acbm.assigning - DEBUG - Activity 224233: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,606 - acbm.assigning - DEBUG - Activity 224233: sampling based on floor area\n", - "2024-05-14 18:29:50,607 - acbm.assigning - DEBUG - Activity 224240: Initial number of options for activity = 7\n", - "2024-05-14 18:29:50,608 - acbm.assigning - DEBUG - Activity 224240: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:50,609 - acbm.assigning - DEBUG - Activity 224240: sampling based on floor area\n", - "2024-05-14 18:29:50,610 - acbm.assigning - DEBUG - Activity 224241: Initial number of options for activity = 3\n", - "2024-05-14 18:29:50,613 - acbm.assigning - DEBUG - Activity 224241: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:50,613 - acbm.assigning - DEBUG - Activity 224241: sampling based on floor area\n", - "2024-05-14 18:29:50,615 - acbm.assigning - DEBUG - Activity 224248: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,618 - acbm.assigning - DEBUG - Activity 224248: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,619 - acbm.assigning - DEBUG - Activity 224248: sampling based on floor area\n", - "2024-05-14 18:29:50,621 - acbm.assigning - DEBUG - Activity 224257: Initial number of options for activity = 2\n", - "2024-05-14 18:29:50,623 - acbm.assigning - DEBUG - Activity 224257: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:50,624 - acbm.assigning - DEBUG - Activity 224257: sampling based on floor area\n", - "2024-05-14 18:29:50,625 - acbm.assigning - DEBUG - Activity 224264: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,627 - acbm.assigning - DEBUG - Activity 224264: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,628 - acbm.assigning - DEBUG - Activity 224264: sampling based on floor area\n", - "2024-05-14 18:29:50,629 - acbm.assigning - DEBUG - Activity 224267: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,630 - acbm.assigning - DEBUG - Activity 224267: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,631 - acbm.assigning - DEBUG - Activity 224267: sampling based on floor area\n", - "2024-05-14 18:29:50,632 - acbm.assigning - DEBUG - Activity 224268: Initial number of options for activity = 2\n", - "2024-05-14 18:29:50,635 - acbm.assigning - DEBUG - Activity 224268: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:50,636 - acbm.assigning - DEBUG - Activity 224268: sampling based on floor area\n", - "2024-05-14 18:29:50,637 - acbm.assigning - DEBUG - Activity 224269: Initial number of options for activity = 3\n", - "2024-05-14 18:29:50,639 - acbm.assigning - DEBUG - Activity 224269: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:50,640 - acbm.assigning - DEBUG - Activity 224269: sampling based on floor area\n", - "2024-05-14 18:29:50,641 - acbm.assigning - DEBUG - Activity 224271: Initial number of options for activity = 2\n", - "2024-05-14 18:29:50,643 - acbm.assigning - DEBUG - Activity 224271: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:50,643 - acbm.assigning - DEBUG - Activity 224271: sampling based on floor area\n", - "2024-05-14 18:29:50,644 - acbm.assigning - DEBUG - Activity 224275: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,646 - acbm.assigning - DEBUG - Activity 224275: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,647 - acbm.assigning - DEBUG - Activity 224275: sampling based on floor area\n", - "2024-05-14 18:29:50,649 - acbm.assigning - DEBUG - Activity 224329: Initial number of options for activity = 130\n", - "2024-05-14 18:29:50,651 - acbm.assigning - DEBUG - Activity 224329: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:50,652 - acbm.assigning - DEBUG - Activity 224329: sampling based on floor area\n", - "2024-05-14 18:29:50,654 - acbm.assigning - DEBUG - Activity 224334: Initial number of options for activity = 130\n", - "2024-05-14 18:29:50,657 - acbm.assigning - DEBUG - Activity 224334: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:50,658 - acbm.assigning - DEBUG - Activity 224334: sampling based on floor area\n", - "2024-05-14 18:29:50,660 - acbm.assigning - DEBUG - Activity 224337: Initial number of options for activity = 130\n", - "2024-05-14 18:29:50,662 - acbm.assigning - DEBUG - Activity 224337: Number of options after filtering by education type: 130\n", - "2024-05-14 18:29:50,663 - acbm.assigning - DEBUG - Activity 224337: sampling based on floor area\n", - "2024-05-14 18:29:50,665 - acbm.assigning - DEBUG - Activity 224340: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,667 - acbm.assigning - DEBUG - Activity 224340: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,669 - acbm.assigning - DEBUG - Activity 224340: sampling based on floor area\n", - "2024-05-14 18:29:50,670 - acbm.assigning - DEBUG - Activity 224341: Initial number of options for activity = 7\n", - "2024-05-14 18:29:50,673 - acbm.assigning - DEBUG - Activity 224341: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:50,674 - acbm.assigning - DEBUG - Activity 224341: sampling based on floor area\n", - "2024-05-14 18:29:50,675 - acbm.assigning - DEBUG - Activity 224451: Initial number of options for activity = 12\n", - "2024-05-14 18:29:50,677 - acbm.assigning - DEBUG - Activity 224451: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:50,678 - acbm.assigning - DEBUG - Activity 224451: sampling based on floor area\n", - "2024-05-14 18:29:50,679 - acbm.assigning - DEBUG - Activity 224455: Initial number of options for activity = 12\n", - "2024-05-14 18:29:50,681 - acbm.assigning - DEBUG - Activity 224455: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:50,682 - acbm.assigning - DEBUG - Activity 224455: sampling based on floor area\n", - "2024-05-14 18:29:50,683 - acbm.assigning - DEBUG - Activity 224463: Initial number of options for activity = 63\n", - "2024-05-14 18:29:50,686 - acbm.assigning - DEBUG - Activity 224463: Number of options after filtering by education type: 63\n", - "2024-05-14 18:29:50,687 - acbm.assigning - DEBUG - Activity 224463: sampling based on floor area\n", - "2024-05-14 18:29:50,688 - acbm.assigning - INFO - Activity 224891: No zones available\n", - "2024-05-14 18:29:50,689 - acbm.assigning - DEBUG - Activity 225272: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,691 - acbm.assigning - DEBUG - Activity 225272: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,692 - acbm.assigning - DEBUG - Activity 225272: sampling based on floor area\n", - "2024-05-14 18:29:50,693 - acbm.assigning - DEBUG - Activity 225313: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,695 - acbm.assigning - DEBUG - Activity 225313: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,696 - acbm.assigning - DEBUG - Activity 225313: sampling based on floor area\n", - "2024-05-14 18:29:50,697 - acbm.assigning - DEBUG - Activity 225315: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,700 - acbm.assigning - DEBUG - Activity 225315: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,701 - acbm.assigning - DEBUG - Activity 225315: sampling based on floor area\n", - "2024-05-14 18:29:50,703 - acbm.assigning - DEBUG - Activity 225317: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,705 - acbm.assigning - DEBUG - Activity 225317: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,706 - acbm.assigning - DEBUG - Activity 225317: sampling based on floor area\n", - "2024-05-14 18:29:50,707 - acbm.assigning - DEBUG - Activity 225319: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,710 - acbm.assigning - DEBUG - Activity 225319: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,710 - acbm.assigning - DEBUG - Activity 225319: sampling based on floor area\n", - "2024-05-14 18:29:50,711 - acbm.assigning - DEBUG - Activity 225323: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,714 - acbm.assigning - DEBUG - Activity 225323: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,715 - acbm.assigning - DEBUG - Activity 225323: sampling based on floor area\n", - "2024-05-14 18:29:50,716 - acbm.assigning - DEBUG - Activity 225477: Initial number of options for activity = 31\n", - "2024-05-14 18:29:50,718 - acbm.assigning - DEBUG - Activity 225477: Number of options after filtering by education type: 31\n", - "2024-05-14 18:29:50,719 - acbm.assigning - DEBUG - Activity 225477: sampling based on floor area\n", - "2024-05-14 18:29:50,720 - acbm.assigning - DEBUG - Activity 225481: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,722 - acbm.assigning - DEBUG - Activity 225481: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,723 - acbm.assigning - DEBUG - Activity 225481: sampling based on floor area\n", - "2024-05-14 18:29:50,724 - acbm.assigning - DEBUG - Activity 225483: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,726 - acbm.assigning - DEBUG - Activity 225483: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,727 - acbm.assigning - DEBUG - Activity 225483: sampling based on floor area\n", - "2024-05-14 18:29:50,727 - acbm.assigning - DEBUG - Activity 225490: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,730 - acbm.assigning - DEBUG - Activity 225490: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,730 - acbm.assigning - DEBUG - Activity 225490: sampling based on floor area\n", - "2024-05-14 18:29:50,732 - acbm.assigning - DEBUG - Activity 225492: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,734 - acbm.assigning - DEBUG - Activity 225492: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,735 - acbm.assigning - DEBUG - Activity 225492: sampling based on floor area\n", - "2024-05-14 18:29:50,736 - acbm.assigning - DEBUG - Activity 225555: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,738 - acbm.assigning - DEBUG - Activity 225555: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,738 - acbm.assigning - DEBUG - Activity 225555: sampling based on floor area\n", - "2024-05-14 18:29:50,739 - acbm.assigning - DEBUG - Activity 225557: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,741 - acbm.assigning - DEBUG - Activity 225557: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,741 - acbm.assigning - DEBUG - Activity 225557: sampling based on floor area\n", - "2024-05-14 18:29:50,742 - acbm.assigning - DEBUG - Activity 225559: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,743 - acbm.assigning - DEBUG - Activity 225559: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,744 - acbm.assigning - DEBUG - Activity 225559: sampling based on floor area\n", - "2024-05-14 18:29:50,745 - acbm.assigning - DEBUG - Activity 225561: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,747 - acbm.assigning - DEBUG - Activity 225561: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,748 - acbm.assigning - DEBUG - Activity 225561: sampling based on floor area\n", - "2024-05-14 18:29:50,749 - acbm.assigning - DEBUG - Activity 225563: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,752 - acbm.assigning - DEBUG - Activity 225563: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,753 - acbm.assigning - DEBUG - Activity 225563: sampling based on floor area\n", - "2024-05-14 18:29:50,754 - acbm.assigning - INFO - Activity 225741: No zones available\n", - "2024-05-14 18:29:50,754 - acbm.assigning - DEBUG - Activity 225742: Initial number of options for activity = 50\n", - "2024-05-14 18:29:50,756 - acbm.assigning - DEBUG - Activity 225742: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:50,757 - acbm.assigning - DEBUG - Activity 225742: sampling based on floor area\n", - "2024-05-14 18:29:50,758 - acbm.assigning - INFO - Activity 225785: No zones available\n", - "2024-05-14 18:29:50,759 - acbm.assigning - DEBUG - Activity 226014: Initial number of options for activity = 3\n", - "2024-05-14 18:29:50,760 - acbm.assigning - DEBUG - Activity 226014: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:50,761 - acbm.assigning - DEBUG - Activity 226014: sampling based on floor area\n", - "2024-05-14 18:29:50,762 - acbm.assigning - DEBUG - Activity 226021: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,764 - acbm.assigning - DEBUG - Activity 226021: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,765 - acbm.assigning - DEBUG - Activity 226021: sampling based on floor area\n", - "2024-05-14 18:29:50,767 - acbm.assigning - DEBUG - Activity 226023: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,768 - acbm.assigning - DEBUG - Activity 226023: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,770 - acbm.assigning - DEBUG - Activity 226023: sampling based on floor area\n", - "2024-05-14 18:29:50,771 - acbm.assigning - DEBUG - Activity 226025: Initial number of options for activity = 4\n", - "2024-05-14 18:29:50,773 - acbm.assigning - DEBUG - Activity 226025: Number of options after filtering by education type: 4\n", - "2024-05-14 18:29:50,773 - acbm.assigning - DEBUG - Activity 226025: sampling based on floor area\n", - "2024-05-14 18:29:50,774 - acbm.assigning - DEBUG - Activity 226026: Initial number of options for activity = 3\n", - "2024-05-14 18:29:50,776 - acbm.assigning - DEBUG - Activity 226026: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:50,777 - acbm.assigning - DEBUG - Activity 226026: sampling based on floor area\n", - "2024-05-14 18:29:50,778 - acbm.assigning - DEBUG - Activity 226072: Initial number of options for activity = 77\n", - "2024-05-14 18:29:50,780 - acbm.assigning - DEBUG - Activity 226072: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:50,781 - acbm.assigning - DEBUG - Activity 226072: sampling based on floor area\n", - "2024-05-14 18:29:50,783 - acbm.assigning - DEBUG - Activity 226076: Initial number of options for activity = 78\n", - "2024-05-14 18:29:50,785 - acbm.assigning - DEBUG - Activity 226076: Number of options after filtering by education type: 78\n", - "2024-05-14 18:29:50,786 - acbm.assigning - DEBUG - Activity 226076: sampling based on floor area\n", - "2024-05-14 18:29:50,788 - acbm.assigning - DEBUG - Activity 226077: Initial number of options for activity = 77\n", - "2024-05-14 18:29:50,790 - acbm.assigning - DEBUG - Activity 226077: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:50,791 - acbm.assigning - DEBUG - Activity 226077: sampling based on floor area\n", - "2024-05-14 18:29:50,792 - acbm.assigning - DEBUG - Activity 226079: Initial number of options for activity = 77\n", - "2024-05-14 18:29:50,794 - acbm.assigning - DEBUG - Activity 226079: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:50,795 - acbm.assigning - DEBUG - Activity 226079: sampling based on floor area\n", - "2024-05-14 18:29:50,796 - acbm.assigning - DEBUG - Activity 226213: Initial number of options for activity = 5\n", - "2024-05-14 18:29:50,798 - acbm.assigning - DEBUG - Activity 226213: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:50,799 - acbm.assigning - DEBUG - Activity 226213: sampling based on floor area\n", - "2024-05-14 18:29:50,800 - acbm.assigning - DEBUG - Activity 226214: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,802 - acbm.assigning - DEBUG - Activity 226214: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,803 - acbm.assigning - DEBUG - Activity 226214: sampling based on floor area\n", - "2024-05-14 18:29:50,804 - acbm.assigning - DEBUG - Activity 226217: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,806 - acbm.assigning - DEBUG - Activity 226217: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,807 - acbm.assigning - DEBUG - Activity 226217: sampling based on floor area\n", - "2024-05-14 18:29:50,808 - acbm.assigning - DEBUG - Activity 226224: Initial number of options for activity = 5\n", - "2024-05-14 18:29:50,810 - acbm.assigning - DEBUG - Activity 226224: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:50,811 - acbm.assigning - DEBUG - Activity 226224: sampling based on floor area\n", - "2024-05-14 18:29:50,812 - acbm.assigning - DEBUG - Activity 226225: Initial number of options for activity = 13\n", - "2024-05-14 18:29:50,814 - acbm.assigning - DEBUG - Activity 226225: Number of options after filtering by education type: 13\n", - "2024-05-14 18:29:50,814 - acbm.assigning - DEBUG - Activity 226225: sampling based on floor area\n", - "2024-05-14 18:29:50,816 - acbm.assigning - DEBUG - Activity 226226: Initial number of options for activity = 5\n", - "2024-05-14 18:29:50,819 - acbm.assigning - DEBUG - Activity 226226: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:50,820 - acbm.assigning - DEBUG - Activity 226226: sampling based on floor area\n", - "2024-05-14 18:29:50,821 - acbm.assigning - DEBUG - Activity 226307: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,824 - acbm.assigning - DEBUG - Activity 226307: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,825 - acbm.assigning - DEBUG - Activity 226307: sampling based on floor area\n", - "2024-05-14 18:29:50,826 - acbm.assigning - DEBUG - Activity 226309: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,828 - acbm.assigning - DEBUG - Activity 226309: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,829 - acbm.assigning - DEBUG - Activity 226309: sampling based on floor area\n", - "2024-05-14 18:29:50,831 - acbm.assigning - DEBUG - Activity 226311: Initial number of options for activity = 11\n", - "2024-05-14 18:29:50,833 - acbm.assigning - DEBUG - Activity 226311: Number of options after filtering by education type: 11\n", - "2024-05-14 18:29:50,833 - acbm.assigning - DEBUG - Activity 226311: sampling based on floor area\n", - "2024-05-14 18:29:50,834 - acbm.assigning - DEBUG - Activity 226313: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,836 - acbm.assigning - DEBUG - Activity 226313: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,837 - acbm.assigning - DEBUG - Activity 226313: sampling based on floor area\n", - "2024-05-14 18:29:50,838 - acbm.assigning - DEBUG - Activity 226314: Initial number of options for activity = 8\n", - "2024-05-14 18:29:50,840 - acbm.assigning - DEBUG - Activity 226314: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:50,841 - acbm.assigning - DEBUG - Activity 226314: sampling based on floor area\n", - "2024-05-14 18:29:50,842 - acbm.assigning - DEBUG - Activity 226452: Initial number of options for activity = 77\n", - "2024-05-14 18:29:50,845 - acbm.assigning - DEBUG - Activity 226452: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:50,846 - acbm.assigning - DEBUG - Activity 226452: sampling based on floor area\n", - "2024-05-14 18:29:50,847 - acbm.assigning - DEBUG - Activity 226454: Initial number of options for activity = 77\n", - "2024-05-14 18:29:50,849 - acbm.assigning - DEBUG - Activity 226454: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:50,850 - acbm.assigning - DEBUG - Activity 226454: sampling based on floor area\n", - "2024-05-14 18:29:50,851 - acbm.assigning - DEBUG - Activity 226456: Initial number of options for activity = 77\n", - "2024-05-14 18:29:50,854 - acbm.assigning - DEBUG - Activity 226456: Number of options after filtering by education type: 77\n", - "2024-05-14 18:29:50,854 - acbm.assigning - DEBUG - Activity 226456: sampling based on floor area\n", - "2024-05-14 18:29:50,855 - acbm.assigning - DEBUG - Activity 226458: Initial number of options for activity = 42\n", - "2024-05-14 18:29:50,858 - acbm.assigning - DEBUG - Activity 226458: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:50,858 - acbm.assigning - DEBUG - Activity 226458: sampling based on floor area\n", - "2024-05-14 18:29:50,859 - acbm.assigning - DEBUG - Activity 226460: Initial number of options for activity = 42\n", - "2024-05-14 18:29:50,861 - acbm.assigning - DEBUG - Activity 226460: Number of options after filtering by education type: 42\n", - "2024-05-14 18:29:50,862 - acbm.assigning - DEBUG - Activity 226460: sampling based on floor area\n", - "2024-05-14 18:29:50,863 - acbm.assigning - DEBUG - Activity 226602: Initial number of options for activity = 99\n", - "2024-05-14 18:29:50,865 - acbm.assigning - DEBUG - Activity 226602: Number of options after filtering by education type: 99\n", - "2024-05-14 18:29:50,865 - acbm.assigning - DEBUG - Activity 226602: sampling based on floor area\n", - "2024-05-14 18:29:50,866 - acbm.assigning - DEBUG - Activity 226604: Initial number of options for activity = 159\n", - "2024-05-14 18:29:50,869 - acbm.assigning - DEBUG - Activity 226604: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:50,870 - acbm.assigning - DEBUG - Activity 226604: sampling based on floor area\n", - "2024-05-14 18:29:50,871 - acbm.assigning - DEBUG - Activity 226607: Initial number of options for activity = 159\n", - "2024-05-14 18:29:50,874 - acbm.assigning - DEBUG - Activity 226607: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:50,875 - acbm.assigning - DEBUG - Activity 226607: sampling based on floor area\n", - "2024-05-14 18:29:50,877 - acbm.assigning - DEBUG - Activity 226609: Initial number of options for activity = 159\n", - "2024-05-14 18:29:50,879 - acbm.assigning - DEBUG - Activity 226609: Number of options after filtering by education type: 159\n", - "2024-05-14 18:29:50,879 - acbm.assigning - DEBUG - Activity 226609: sampling based on floor area\n", - "2024-05-14 18:29:50,880 - acbm.assigning - DEBUG - Activity 226835: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,882 - acbm.assigning - DEBUG - Activity 226835: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,883 - acbm.assigning - DEBUG - Activity 226835: sampling based on floor area\n", - "2024-05-14 18:29:50,885 - acbm.assigning - INFO - Activity 227141: No zones available\n", - "2024-05-14 18:29:50,885 - acbm.assigning - DEBUG - Activity 227161: Initial number of options for activity = 9\n", - "2024-05-14 18:29:50,887 - acbm.assigning - DEBUG - Activity 227161: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:50,888 - acbm.assigning - DEBUG - Activity 227161: sampling based on floor area\n", - "2024-05-14 18:29:50,889 - acbm.assigning - DEBUG - Activity 227163: Initial number of options for activity = 9\n", - "2024-05-14 18:29:50,890 - acbm.assigning - DEBUG - Activity 227163: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:50,891 - acbm.assigning - DEBUG - Activity 227163: sampling based on floor area\n", - "2024-05-14 18:29:50,892 - acbm.assigning - INFO - Activity 227387: No zones available\n", - "2024-05-14 18:29:50,892 - acbm.assigning - INFO - Activity 227392: No zones available\n", - "2024-05-14 18:29:50,892 - acbm.assigning - INFO - Activity 227559: No zones available\n", - "2024-05-14 18:29:50,893 - acbm.assigning - DEBUG - Activity 227807: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,894 - acbm.assigning - DEBUG - Activity 227807: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,895 - acbm.assigning - DEBUG - Activity 227807: sampling based on floor area\n", - "2024-05-14 18:29:50,896 - acbm.assigning - DEBUG - Activity 228014: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,897 - acbm.assigning - DEBUG - Activity 228014: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,898 - acbm.assigning - DEBUG - Activity 228014: sampling based on floor area\n", - "2024-05-14 18:29:50,899 - acbm.assigning - DEBUG - Activity 228312: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,901 - acbm.assigning - DEBUG - Activity 228312: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,902 - acbm.assigning - DEBUG - Activity 228312: sampling based on floor area\n", - "2024-05-14 18:29:50,903 - acbm.assigning - DEBUG - Activity 228314: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,904 - acbm.assigning - DEBUG - Activity 228314: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,905 - acbm.assigning - DEBUG - Activity 228314: sampling based on floor area\n", - "2024-05-14 18:29:50,906 - acbm.assigning - DEBUG - Activity 228316: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,908 - acbm.assigning - DEBUG - Activity 228316: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,908 - acbm.assigning - DEBUG - Activity 228316: sampling based on floor area\n", - "2024-05-14 18:29:50,909 - acbm.assigning - INFO - KeyError: Key 228529 in possible_zones has no values\n", - "2024-05-14 18:29:50,910 - acbm.assigning - INFO - KeyError: Key 228530 in possible_zones has no values\n", - "2024-05-14 18:29:50,911 - acbm.assigning - DEBUG - Activity 228531: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,913 - acbm.assigning - DEBUG - Activity 228531: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,914 - acbm.assigning - DEBUG - Activity 228531: sampling based on floor area\n", - "2024-05-14 18:29:50,915 - acbm.assigning - DEBUG - Activity 228534: Initial number of options for activity = 5\n", - "2024-05-14 18:29:50,918 - acbm.assigning - DEBUG - Activity 228534: Number of options after filtering by education type: 5\n", - "2024-05-14 18:29:50,919 - acbm.assigning - DEBUG - Activity 228534: sampling based on floor area\n", - "2024-05-14 18:29:50,920 - acbm.assigning - DEBUG - Activity 229181: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,922 - acbm.assigning - DEBUG - Activity 229181: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,922 - acbm.assigning - DEBUG - Activity 229181: sampling based on floor area\n", - "2024-05-14 18:29:50,923 - acbm.assigning - DEBUG - Activity 229183: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,925 - acbm.assigning - DEBUG - Activity 229183: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,925 - acbm.assigning - DEBUG - Activity 229183: sampling based on floor area\n", - "2024-05-14 18:29:50,926 - acbm.assigning - DEBUG - Activity 229185: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,927 - acbm.assigning - DEBUG - Activity 229185: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,928 - acbm.assigning - DEBUG - Activity 229185: sampling based on floor area\n", - "2024-05-14 18:29:50,929 - acbm.assigning - DEBUG - Activity 229187: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,930 - acbm.assigning - DEBUG - Activity 229187: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,931 - acbm.assigning - DEBUG - Activity 229187: sampling based on floor area\n", - "2024-05-14 18:29:50,931 - acbm.assigning - DEBUG - Activity 229189: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,933 - acbm.assigning - DEBUG - Activity 229189: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,934 - acbm.assigning - DEBUG - Activity 229189: sampling based on floor area\n", - "2024-05-14 18:29:50,935 - acbm.assigning - INFO - Activity 229205: No zones available\n", - "2024-05-14 18:29:50,935 - acbm.assigning - DEBUG - Activity 229236: Initial number of options for activity = 53\n", - "2024-05-14 18:29:50,937 - acbm.assigning - DEBUG - Activity 229236: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:50,938 - acbm.assigning - DEBUG - Activity 229236: sampling based on floor area\n", - "2024-05-14 18:29:50,939 - acbm.assigning - DEBUG - Activity 229238: Initial number of options for activity = 53\n", - "2024-05-14 18:29:50,942 - acbm.assigning - DEBUG - Activity 229238: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:50,943 - acbm.assigning - DEBUG - Activity 229238: sampling based on floor area\n", - "2024-05-14 18:29:50,945 - acbm.assigning - DEBUG - Activity 229240: Initial number of options for activity = 53\n", - "2024-05-14 18:29:50,948 - acbm.assigning - DEBUG - Activity 229240: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:50,949 - acbm.assigning - DEBUG - Activity 229240: sampling based on floor area\n", - "2024-05-14 18:29:50,951 - acbm.assigning - DEBUG - Activity 229242: Initial number of options for activity = 53\n", - "2024-05-14 18:29:50,953 - acbm.assigning - DEBUG - Activity 229242: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:50,954 - acbm.assigning - DEBUG - Activity 229242: sampling based on floor area\n", - "2024-05-14 18:29:50,955 - acbm.assigning - DEBUG - Activity 229244: Initial number of options for activity = 53\n", - "2024-05-14 18:29:50,957 - acbm.assigning - DEBUG - Activity 229244: Number of options after filtering by education type: 53\n", - "2024-05-14 18:29:50,958 - acbm.assigning - DEBUG - Activity 229244: sampling based on floor area\n", - "2024-05-14 18:29:50,959 - acbm.assigning - INFO - Activity 229483: No zones available\n", - "2024-05-14 18:29:50,960 - acbm.assigning - INFO - Activity 229496: No zones available\n", - "2024-05-14 18:29:50,960 - acbm.assigning - INFO - Activity 229510: No zones available\n", - "2024-05-14 18:29:50,960 - acbm.assigning - DEBUG - Activity 229778: Initial number of options for activity = 1\n", - "2024-05-14 18:29:50,962 - acbm.assigning - DEBUG - Activity 229778: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:50,963 - acbm.assigning - DEBUG - Activity 229778: sampling based on floor area\n", - "2024-05-14 18:29:50,964 - acbm.assigning - DEBUG - Activity 229799: Initial number of options for activity = 60\n", - "2024-05-14 18:29:50,966 - acbm.assigning - DEBUG - Activity 229799: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:50,967 - acbm.assigning - DEBUG - Activity 229799: sampling based on floor area\n", - "2024-05-14 18:29:50,969 - acbm.assigning - DEBUG - Activity 229801: Initial number of options for activity = 60\n", - "2024-05-14 18:29:50,971 - acbm.assigning - DEBUG - Activity 229801: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:50,972 - acbm.assigning - DEBUG - Activity 229801: sampling based on floor area\n", - "2024-05-14 18:29:50,973 - acbm.assigning - DEBUG - Activity 229803: Initial number of options for activity = 60\n", - "2024-05-14 18:29:50,975 - acbm.assigning - DEBUG - Activity 229803: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:50,976 - acbm.assigning - DEBUG - Activity 229803: sampling based on floor area\n", - "2024-05-14 18:29:50,978 - acbm.assigning - DEBUG - Activity 229805: Initial number of options for activity = 60\n", - "2024-05-14 18:29:50,981 - acbm.assigning - DEBUG - Activity 229805: Number of options after filtering by education type: 60\n", - "2024-05-14 18:29:50,982 - acbm.assigning - DEBUG - Activity 229805: sampling based on floor area\n", - "2024-05-14 18:29:50,984 - acbm.assigning - DEBUG - Activity 229807: Initial number of options for activity = 41\n", - "2024-05-14 18:29:50,986 - acbm.assigning - DEBUG - Activity 229807: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:50,987 - acbm.assigning - DEBUG - Activity 229807: sampling based on floor area\n", - "2024-05-14 18:29:50,988 - acbm.assigning - DEBUG - Activity 229937: Initial number of options for activity = 48\n", - "2024-05-14 18:29:50,991 - acbm.assigning - DEBUG - Activity 229937: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:50,991 - acbm.assigning - DEBUG - Activity 229937: sampling based on floor area\n", - "2024-05-14 18:29:50,993 - acbm.assigning - DEBUG - Activity 229939: Initial number of options for activity = 48\n", - "2024-05-14 18:29:50,996 - acbm.assigning - DEBUG - Activity 229939: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:50,996 - acbm.assigning - DEBUG - Activity 229939: sampling based on floor area\n", - "2024-05-14 18:29:50,997 - acbm.assigning - DEBUG - Activity 229941: Initial number of options for activity = 48\n", - "2024-05-14 18:29:51,001 - acbm.assigning - DEBUG - Activity 229941: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:51,002 - acbm.assigning - DEBUG - Activity 229941: sampling based on floor area\n", - "2024-05-14 18:29:51,003 - acbm.assigning - DEBUG - Activity 229943: Initial number of options for activity = 48\n", - "2024-05-14 18:29:51,007 - acbm.assigning - DEBUG - Activity 229943: Number of options after filtering by education type: 48\n", - "2024-05-14 18:29:51,008 - acbm.assigning - DEBUG - Activity 229943: sampling based on floor area\n", - "2024-05-14 18:29:51,010 - acbm.assigning - DEBUG - Activity 230035: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,012 - acbm.assigning - DEBUG - Activity 230035: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,012 - acbm.assigning - DEBUG - Activity 230035: sampling based on floor area\n", - "2024-05-14 18:29:51,013 - acbm.assigning - DEBUG - Activity 230037: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,016 - acbm.assigning - DEBUG - Activity 230037: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,016 - acbm.assigning - DEBUG - Activity 230037: sampling based on floor area\n", - "2024-05-14 18:29:51,018 - acbm.assigning - DEBUG - Activity 230039: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,020 - acbm.assigning - DEBUG - Activity 230039: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,021 - acbm.assigning - DEBUG - Activity 230039: sampling based on floor area\n", - "2024-05-14 18:29:51,022 - acbm.assigning - DEBUG - Activity 230041: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,024 - acbm.assigning - DEBUG - Activity 230041: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,025 - acbm.assigning - DEBUG - Activity 230041: sampling based on floor area\n", - "2024-05-14 18:29:51,027 - acbm.assigning - DEBUG - Activity 230042: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,028 - acbm.assigning - DEBUG - Activity 230042: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,035 - acbm.assigning - DEBUG - Activity 230042: sampling based on floor area\n", - "2024-05-14 18:29:51,037 - acbm.assigning - DEBUG - Activity 231054: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,040 - acbm.assigning - DEBUG - Activity 231054: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,042 - acbm.assigning - DEBUG - Activity 231054: sampling based on floor area\n", - "2024-05-14 18:29:51,044 - acbm.assigning - DEBUG - Activity 231595: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,046 - acbm.assigning - DEBUG - Activity 231595: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,047 - acbm.assigning - DEBUG - Activity 231595: sampling based on floor area\n", - "2024-05-14 18:29:51,049 - acbm.assigning - INFO - Activity 231644: No zones available\n", - "2024-05-14 18:29:51,051 - acbm.assigning - INFO - Activity 231656: No zones available\n", - "2024-05-14 18:29:51,052 - acbm.assigning - DEBUG - Activity 231659: Initial number of options for activity = 41\n", - "2024-05-14 18:29:51,054 - acbm.assigning - DEBUG - Activity 231659: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:51,055 - acbm.assigning - DEBUG - Activity 231659: sampling based on floor area\n", - "2024-05-14 18:29:51,057 - acbm.assigning - DEBUG - Activity 231660: Initial number of options for activity = 41\n", - "2024-05-14 18:29:51,060 - acbm.assigning - DEBUG - Activity 231660: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:51,061 - acbm.assigning - DEBUG - Activity 231660: sampling based on floor area\n", - "2024-05-14 18:29:51,062 - acbm.assigning - DEBUG - Activity 231662: Initial number of options for activity = 24\n", - "2024-05-14 18:29:51,065 - acbm.assigning - DEBUG - Activity 231662: Number of options after filtering by education type: 24\n", - "2024-05-14 18:29:51,066 - acbm.assigning - DEBUG - Activity 231662: sampling based on floor area\n", - "2024-05-14 18:29:51,068 - acbm.assigning - DEBUG - Activity 231670: Initial number of options for activity = 41\n", - "2024-05-14 18:29:51,071 - acbm.assigning - DEBUG - Activity 231670: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:51,071 - acbm.assigning - DEBUG - Activity 231670: sampling based on floor area\n", - "2024-05-14 18:29:51,073 - acbm.assigning - DEBUG - Activity 231674: Initial number of options for activity = 41\n", - "2024-05-14 18:29:51,075 - acbm.assigning - DEBUG - Activity 231674: Number of options after filtering by education type: 41\n", - "2024-05-14 18:29:51,076 - acbm.assigning - DEBUG - Activity 231674: sampling based on floor area\n", - "2024-05-14 18:29:51,077 - acbm.assigning - DEBUG - Activity 232027: Initial number of options for activity = 146\n", - "2024-05-14 18:29:51,079 - acbm.assigning - DEBUG - Activity 232027: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:51,080 - acbm.assigning - DEBUG - Activity 232027: sampling based on floor area\n", - "2024-05-14 18:29:51,082 - acbm.assigning - DEBUG - Activity 232029: Initial number of options for activity = 146\n", - "2024-05-14 18:29:51,084 - acbm.assigning - DEBUG - Activity 232029: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:51,085 - acbm.assigning - DEBUG - Activity 232029: sampling based on floor area\n", - "2024-05-14 18:29:51,086 - acbm.assigning - DEBUG - Activity 232031: Initial number of options for activity = 146\n", - "2024-05-14 18:29:51,089 - acbm.assigning - DEBUG - Activity 232031: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:51,090 - acbm.assigning - DEBUG - Activity 232031: sampling based on floor area\n", - "2024-05-14 18:29:51,092 - acbm.assigning - DEBUG - Activity 232033: Initial number of options for activity = 146\n", - "2024-05-14 18:29:51,094 - acbm.assigning - DEBUG - Activity 232033: Number of options after filtering by education type: 146\n", - "2024-05-14 18:29:51,095 - acbm.assigning - DEBUG - Activity 232033: sampling based on floor area\n", - "2024-05-14 18:29:51,097 - acbm.assigning - DEBUG - Activity 232113: Initial number of options for activity = 66\n", - "2024-05-14 18:29:51,099 - acbm.assigning - DEBUG - Activity 232113: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:51,099 - acbm.assigning - DEBUG - Activity 232113: sampling based on floor area\n", - "2024-05-14 18:29:51,101 - acbm.assigning - DEBUG - Activity 232115: Initial number of options for activity = 66\n", - "2024-05-14 18:29:51,109 - acbm.assigning - DEBUG - Activity 232115: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:51,110 - acbm.assigning - DEBUG - Activity 232115: sampling based on floor area\n", - "2024-05-14 18:29:51,111 - acbm.assigning - DEBUG - Activity 232117: Initial number of options for activity = 66\n", - "2024-05-14 18:29:51,114 - acbm.assigning - DEBUG - Activity 232117: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:51,115 - acbm.assigning - DEBUG - Activity 232117: sampling based on floor area\n", - "2024-05-14 18:29:51,117 - acbm.assigning - DEBUG - Activity 232119: Initial number of options for activity = 66\n", - "2024-05-14 18:29:51,121 - acbm.assigning - DEBUG - Activity 232119: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:51,122 - acbm.assigning - DEBUG - Activity 232119: sampling based on floor area\n", - "2024-05-14 18:29:51,124 - acbm.assigning - DEBUG - Activity 232121: Initial number of options for activity = 66\n", - "2024-05-14 18:29:51,126 - acbm.assigning - DEBUG - Activity 232121: Number of options after filtering by education type: 66\n", - "2024-05-14 18:29:51,127 - acbm.assigning - DEBUG - Activity 232121: sampling based on floor area\n", - "2024-05-14 18:29:51,129 - acbm.assigning - DEBUG - Activity 232225: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,132 - acbm.assigning - DEBUG - Activity 232225: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,133 - acbm.assigning - DEBUG - Activity 232225: sampling based on floor area\n", - "2024-05-14 18:29:51,134 - acbm.assigning - DEBUG - Activity 232263: Initial number of options for activity = 119\n", - "2024-05-14 18:29:51,137 - acbm.assigning - DEBUG - Activity 232263: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:51,138 - acbm.assigning - DEBUG - Activity 232263: sampling based on floor area\n", - "2024-05-14 18:29:51,139 - acbm.assigning - DEBUG - Activity 232265: Initial number of options for activity = 119\n", - "2024-05-14 18:29:51,141 - acbm.assigning - DEBUG - Activity 232265: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:51,141 - acbm.assigning - DEBUG - Activity 232265: sampling based on floor area\n", - "2024-05-14 18:29:51,142 - acbm.assigning - DEBUG - Activity 232267: Initial number of options for activity = 74\n", - "2024-05-14 18:29:51,144 - acbm.assigning - DEBUG - Activity 232267: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:51,145 - acbm.assigning - DEBUG - Activity 232267: sampling based on floor area\n", - "2024-05-14 18:29:51,147 - acbm.assigning - DEBUG - Activity 232269: Initial number of options for activity = 119\n", - "2024-05-14 18:29:51,149 - acbm.assigning - DEBUG - Activity 232269: Number of options after filtering by education type: 119\n", - "2024-05-14 18:29:51,150 - acbm.assigning - DEBUG - Activity 232269: sampling based on floor area\n", - "2024-05-14 18:29:51,152 - acbm.assigning - DEBUG - Activity 232271: Initial number of options for activity = 74\n", - "2024-05-14 18:29:51,154 - acbm.assigning - DEBUG - Activity 232271: Number of options after filtering by education type: 74\n", - "2024-05-14 18:29:51,154 - acbm.assigning - DEBUG - Activity 232271: sampling based on floor area\n", - "2024-05-14 18:29:51,155 - acbm.assigning - DEBUG - Activity 232419: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,157 - acbm.assigning - DEBUG - Activity 232419: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,158 - acbm.assigning - DEBUG - Activity 232419: sampling based on floor area\n", - "2024-05-14 18:29:51,159 - acbm.assigning - DEBUG - Activity 232422: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,161 - acbm.assigning - DEBUG - Activity 232422: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,162 - acbm.assigning - DEBUG - Activity 232422: sampling based on floor area\n", - "2024-05-14 18:29:51,163 - acbm.assigning - DEBUG - Activity 232426: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,166 - acbm.assigning - DEBUG - Activity 232426: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,166 - acbm.assigning - DEBUG - Activity 232426: sampling based on floor area\n", - "2024-05-14 18:29:51,168 - acbm.assigning - DEBUG - Activity 232427: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,170 - acbm.assigning - DEBUG - Activity 232427: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,171 - acbm.assigning - DEBUG - Activity 232427: sampling based on floor area\n", - "2024-05-14 18:29:51,172 - acbm.assigning - DEBUG - Activity 232428: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,174 - acbm.assigning - DEBUG - Activity 232428: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,174 - acbm.assigning - DEBUG - Activity 232428: sampling based on floor area\n", - "2024-05-14 18:29:51,175 - acbm.assigning - DEBUG - Activity 232429: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,177 - acbm.assigning - DEBUG - Activity 232429: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,177 - acbm.assigning - DEBUG - Activity 232429: sampling based on floor area\n", - "2024-05-14 18:29:51,178 - acbm.assigning - DEBUG - Activity 232434: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,180 - acbm.assigning - DEBUG - Activity 232434: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,181 - acbm.assigning - DEBUG - Activity 232434: sampling based on floor area\n", - "2024-05-14 18:29:51,182 - acbm.assigning - DEBUG - Activity 232436: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,185 - acbm.assigning - DEBUG - Activity 232436: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,186 - acbm.assigning - DEBUG - Activity 232436: sampling based on floor area\n", - "2024-05-14 18:29:51,187 - acbm.assigning - DEBUG - Activity 232438: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,190 - acbm.assigning - DEBUG - Activity 232438: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,191 - acbm.assigning - DEBUG - Activity 232438: sampling based on floor area\n", - "2024-05-14 18:29:51,192 - acbm.assigning - DEBUG - Activity 232439: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,194 - acbm.assigning - DEBUG - Activity 232439: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,196 - acbm.assigning - DEBUG - Activity 232439: sampling based on floor area\n", - "2024-05-14 18:29:51,197 - acbm.assigning - DEBUG - Activity 232440: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,200 - acbm.assigning - DEBUG - Activity 232440: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,201 - acbm.assigning - DEBUG - Activity 232440: sampling based on floor area\n", - "2024-05-14 18:29:51,202 - acbm.assigning - DEBUG - Activity 232442: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,205 - acbm.assigning - DEBUG - Activity 232442: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,206 - acbm.assigning - DEBUG - Activity 232442: sampling based on floor area\n", - "2024-05-14 18:29:51,207 - acbm.assigning - DEBUG - Activity 232443: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,211 - acbm.assigning - DEBUG - Activity 232443: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,213 - acbm.assigning - DEBUG - Activity 232443: sampling based on floor area\n", - "2024-05-14 18:29:51,215 - acbm.assigning - DEBUG - Activity 232447: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,218 - acbm.assigning - DEBUG - Activity 232447: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,219 - acbm.assigning - DEBUG - Activity 232447: sampling based on floor area\n", - "2024-05-14 18:29:51,220 - acbm.assigning - DEBUG - Activity 232450: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,222 - acbm.assigning - DEBUG - Activity 232450: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,223 - acbm.assigning - DEBUG - Activity 232450: sampling based on floor area\n", - "2024-05-14 18:29:51,224 - acbm.assigning - DEBUG - Activity 232451: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,227 - acbm.assigning - DEBUG - Activity 232451: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,228 - acbm.assigning - DEBUG - Activity 232451: sampling based on floor area\n", - "2024-05-14 18:29:51,230 - acbm.assigning - DEBUG - Activity 232452: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,232 - acbm.assigning - DEBUG - Activity 232452: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,233 - acbm.assigning - DEBUG - Activity 232452: sampling based on floor area\n", - "2024-05-14 18:29:51,235 - acbm.assigning - DEBUG - Activity 232456: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,238 - acbm.assigning - DEBUG - Activity 232456: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,239 - acbm.assigning - DEBUG - Activity 232456: sampling based on floor area\n", - "2024-05-14 18:29:51,240 - acbm.assigning - DEBUG - Activity 232457: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,242 - acbm.assigning - DEBUG - Activity 232457: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,243 - acbm.assigning - DEBUG - Activity 232457: sampling based on floor area\n", - "2024-05-14 18:29:51,244 - acbm.assigning - DEBUG - Activity 232639: Initial number of options for activity = 3\n", - "2024-05-14 18:29:51,246 - acbm.assigning - DEBUG - Activity 232639: Number of options after filtering by education type: 3\n", - "2024-05-14 18:29:51,247 - acbm.assigning - DEBUG - Activity 232639: sampling based on floor area\n", - "2024-05-14 18:29:51,248 - acbm.assigning - INFO - Activity 232794: No zones available\n", - "2024-05-14 18:29:51,248 - acbm.assigning - DEBUG - Activity 232847: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,250 - acbm.assigning - DEBUG - Activity 232847: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,251 - acbm.assigning - DEBUG - Activity 232847: sampling based on floor area\n", - "2024-05-14 18:29:51,252 - acbm.assigning - DEBUG - Activity 232848: Initial number of options for activity = 69\n", - "2024-05-14 18:29:51,253 - acbm.assigning - DEBUG - Activity 232848: Number of options after filtering by education type: 69\n", - "2024-05-14 18:29:51,254 - acbm.assigning - DEBUG - Activity 232848: sampling based on floor area\n", - "2024-05-14 18:29:51,255 - acbm.assigning - DEBUG - Activity 232947: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,256 - acbm.assigning - DEBUG - Activity 232947: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,257 - acbm.assigning - DEBUG - Activity 232947: sampling based on floor area\n", - "2024-05-14 18:29:51,258 - acbm.assigning - DEBUG - Activity 233021: Initial number of options for activity = 27\n", - "2024-05-14 18:29:51,259 - acbm.assigning - DEBUG - Activity 233021: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:51,259 - acbm.assigning - DEBUG - Activity 233021: sampling based on floor area\n", - "2024-05-14 18:29:51,260 - acbm.assigning - DEBUG - Activity 233025: Initial number of options for activity = 27\n", - "2024-05-14 18:29:51,262 - acbm.assigning - DEBUG - Activity 233025: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:51,263 - acbm.assigning - DEBUG - Activity 233025: sampling based on floor area\n", - "2024-05-14 18:29:51,263 - acbm.assigning - DEBUG - Activity 233029: Initial number of options for activity = 27\n", - "2024-05-14 18:29:51,265 - acbm.assigning - DEBUG - Activity 233029: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:51,266 - acbm.assigning - DEBUG - Activity 233029: sampling based on floor area\n", - "2024-05-14 18:29:51,267 - acbm.assigning - DEBUG - Activity 233032: Initial number of options for activity = 27\n", - "2024-05-14 18:29:51,268 - acbm.assigning - DEBUG - Activity 233032: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:51,269 - acbm.assigning - DEBUG - Activity 233032: sampling based on floor area\n", - "2024-05-14 18:29:51,270 - acbm.assigning - DEBUG - Activity 233040: Initial number of options for activity = 27\n", - "2024-05-14 18:29:51,271 - acbm.assigning - DEBUG - Activity 233040: Number of options after filtering by education type: 27\n", - "2024-05-14 18:29:51,272 - acbm.assigning - DEBUG - Activity 233040: sampling based on floor area\n", - "2024-05-14 18:29:51,273 - acbm.assigning - DEBUG - Activity 233086: Initial number of options for activity = 8\n", - "2024-05-14 18:29:51,274 - acbm.assigning - DEBUG - Activity 233086: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:51,275 - acbm.assigning - DEBUG - Activity 233086: sampling based on floor area\n", - "2024-05-14 18:29:51,275 - acbm.assigning - DEBUG - Activity 233089: Initial number of options for activity = 8\n", - "2024-05-14 18:29:51,277 - acbm.assigning - DEBUG - Activity 233089: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:51,277 - acbm.assigning - DEBUG - Activity 233089: sampling based on floor area\n", - "2024-05-14 18:29:51,278 - acbm.assigning - DEBUG - Activity 233090: Initial number of options for activity = 8\n", - "2024-05-14 18:29:51,280 - acbm.assigning - DEBUG - Activity 233090: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:51,281 - acbm.assigning - DEBUG - Activity 233090: sampling based on floor area\n", - "2024-05-14 18:29:51,281 - acbm.assigning - DEBUG - Activity 233091: Initial number of options for activity = 8\n", - "2024-05-14 18:29:51,283 - acbm.assigning - DEBUG - Activity 233091: Number of options after filtering by education type: 8\n", - "2024-05-14 18:29:51,284 - acbm.assigning - DEBUG - Activity 233091: sampling based on floor area\n", - "2024-05-14 18:29:51,285 - acbm.assigning - DEBUG - Activity 233095: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,287 - acbm.assigning - DEBUG - Activity 233095: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,287 - acbm.assigning - DEBUG - Activity 233095: sampling based on floor area\n", - "2024-05-14 18:29:51,288 - acbm.assigning - DEBUG - Activity 233098: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,290 - acbm.assigning - DEBUG - Activity 233098: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,290 - acbm.assigning - DEBUG - Activity 233098: sampling based on floor area\n", - "2024-05-14 18:29:51,291 - acbm.assigning - DEBUG - Activity 233107: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,292 - acbm.assigning - DEBUG - Activity 233107: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,293 - acbm.assigning - DEBUG - Activity 233107: sampling based on floor area\n", - "2024-05-14 18:29:51,294 - acbm.assigning - DEBUG - Activity 233108: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,295 - acbm.assigning - DEBUG - Activity 233108: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,295 - acbm.assigning - DEBUG - Activity 233108: sampling based on floor area\n", - "2024-05-14 18:29:51,296 - acbm.assigning - DEBUG - Activity 233185: Initial number of options for activity = 67\n", - "2024-05-14 18:29:51,298 - acbm.assigning - DEBUG - Activity 233185: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:51,299 - acbm.assigning - DEBUG - Activity 233185: sampling based on floor area\n", - "2024-05-14 18:29:51,300 - acbm.assigning - DEBUG - Activity 233187: Initial number of options for activity = 67\n", - "2024-05-14 18:29:51,302 - acbm.assigning - DEBUG - Activity 233187: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:51,302 - acbm.assigning - DEBUG - Activity 233187: sampling based on floor area\n", - "2024-05-14 18:29:51,303 - acbm.assigning - DEBUG - Activity 233188: Initial number of options for activity = 67\n", - "2024-05-14 18:29:51,305 - acbm.assigning - DEBUG - Activity 233188: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:51,305 - acbm.assigning - DEBUG - Activity 233188: sampling based on floor area\n", - "2024-05-14 18:29:51,306 - acbm.assigning - DEBUG - Activity 233194: Initial number of options for activity = 67\n", - "2024-05-14 18:29:51,307 - acbm.assigning - DEBUG - Activity 233194: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:51,308 - acbm.assigning - DEBUG - Activity 233194: sampling based on floor area\n", - "2024-05-14 18:29:51,309 - acbm.assigning - DEBUG - Activity 233196: Initial number of options for activity = 67\n", - "2024-05-14 18:29:51,310 - acbm.assigning - DEBUG - Activity 233196: Number of options after filtering by education type: 67\n", - "2024-05-14 18:29:51,311 - acbm.assigning - DEBUG - Activity 233196: sampling based on floor area\n", - "2024-05-14 18:29:51,311 - acbm.assigning - DEBUG - Activity 233219: Initial number of options for activity = 22\n", - "2024-05-14 18:29:51,313 - acbm.assigning - DEBUG - Activity 233219: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:51,313 - acbm.assigning - DEBUG - Activity 233219: sampling based on floor area\n", - "2024-05-14 18:29:51,314 - acbm.assigning - DEBUG - Activity 233220: Initial number of options for activity = 22\n", - "2024-05-14 18:29:51,316 - acbm.assigning - DEBUG - Activity 233220: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:51,317 - acbm.assigning - DEBUG - Activity 233220: sampling based on floor area\n", - "2024-05-14 18:29:51,318 - acbm.assigning - DEBUG - Activity 233222: Initial number of options for activity = 22\n", - "2024-05-14 18:29:51,320 - acbm.assigning - DEBUG - Activity 233222: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:51,320 - acbm.assigning - DEBUG - Activity 233222: sampling based on floor area\n", - "2024-05-14 18:29:51,321 - acbm.assigning - DEBUG - Activity 233223: Initial number of options for activity = 22\n", - "2024-05-14 18:29:51,323 - acbm.assigning - DEBUG - Activity 233223: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:51,324 - acbm.assigning - DEBUG - Activity 233223: sampling based on floor area\n", - "2024-05-14 18:29:51,325 - acbm.assigning - DEBUG - Activity 233225: Initial number of options for activity = 22\n", - "2024-05-14 18:29:51,326 - acbm.assigning - DEBUG - Activity 233225: Number of options after filtering by education type: 22\n", - "2024-05-14 18:29:51,326 - acbm.assigning - DEBUG - Activity 233225: sampling based on floor area\n", - "2024-05-14 18:29:51,327 - acbm.assigning - DEBUG - Activity 233376: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,328 - acbm.assigning - DEBUG - Activity 233376: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,329 - acbm.assigning - DEBUG - Activity 233376: sampling based on floor area\n", - "2024-05-14 18:29:51,330 - acbm.assigning - INFO - Activity 233603: No zones available\n", - "2024-05-14 18:29:51,330 - acbm.assigning - INFO - Activity 233604: No zones available\n", - "2024-05-14 18:29:51,331 - acbm.assigning - DEBUG - Activity 233611: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,332 - acbm.assigning - DEBUG - Activity 233611: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,333 - acbm.assigning - DEBUG - Activity 233611: sampling based on floor area\n", - "2024-05-14 18:29:51,334 - acbm.assigning - INFO - Activity 233612: No zones available\n", - "2024-05-14 18:29:51,335 - acbm.assigning - DEBUG - Activity 233697: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,336 - acbm.assigning - DEBUG - Activity 233697: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,337 - acbm.assigning - DEBUG - Activity 233697: sampling based on floor area\n", - "2024-05-14 18:29:51,338 - acbm.assigning - DEBUG - Activity 233698: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,339 - acbm.assigning - DEBUG - Activity 233698: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,340 - acbm.assigning - DEBUG - Activity 233698: sampling based on floor area\n", - "2024-05-14 18:29:51,340 - acbm.assigning - DEBUG - Activity 233702: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,342 - acbm.assigning - DEBUG - Activity 233702: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,342 - acbm.assigning - DEBUG - Activity 233702: sampling based on floor area\n", - "2024-05-14 18:29:51,343 - acbm.assigning - DEBUG - Activity 233703: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,344 - acbm.assigning - DEBUG - Activity 233703: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,345 - acbm.assigning - DEBUG - Activity 233703: sampling based on floor area\n", - "2024-05-14 18:29:51,346 - acbm.assigning - DEBUG - Activity 233704: Initial number of options for activity = 1\n", - "2024-05-14 18:29:51,348 - acbm.assigning - DEBUG - Activity 233704: Number of options after filtering by education type: 1\n", - "2024-05-14 18:29:51,348 - acbm.assigning - DEBUG - Activity 233704: sampling based on floor area\n", - "2024-05-14 18:29:51,349 - acbm.assigning - DEBUG - Activity 233718: Initial number of options for activity = 7\n", - "2024-05-14 18:29:51,351 - acbm.assigning - DEBUG - Activity 233718: Number of options after filtering by education type: 7\n", - "2024-05-14 18:29:51,352 - acbm.assigning - DEBUG - Activity 233718: sampling based on floor area\n", - "2024-05-14 18:29:51,353 - acbm.assigning - DEBUG - Activity 233824: Initial number of options for activity = 9\n", - "2024-05-14 18:29:51,354 - acbm.assigning - DEBUG - Activity 233824: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:51,355 - acbm.assigning - DEBUG - Activity 233824: sampling based on floor area\n", - "2024-05-14 18:29:51,356 - acbm.assigning - DEBUG - Activity 233826: Initial number of options for activity = 9\n", - "2024-05-14 18:29:51,357 - acbm.assigning - DEBUG - Activity 233826: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:51,358 - acbm.assigning - DEBUG - Activity 233826: sampling based on floor area\n", - "2024-05-14 18:29:51,358 - acbm.assigning - DEBUG - Activity 233829: Initial number of options for activity = 9\n", - "2024-05-14 18:29:51,360 - acbm.assigning - DEBUG - Activity 233829: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:51,360 - acbm.assigning - DEBUG - Activity 233829: sampling based on floor area\n", - "2024-05-14 18:29:51,361 - acbm.assigning - DEBUG - Activity 233830: Initial number of options for activity = 9\n", - "2024-05-14 18:29:51,363 - acbm.assigning - DEBUG - Activity 233830: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:51,364 - acbm.assigning - DEBUG - Activity 233830: sampling based on floor area\n", - "2024-05-14 18:29:51,365 - acbm.assigning - DEBUG - Activity 233949: Initial number of options for activity = 141\n", - "2024-05-14 18:29:51,366 - acbm.assigning - DEBUG - Activity 233949: Number of options after filtering by education type: 141\n", - "2024-05-14 18:29:51,367 - acbm.assigning - DEBUG - Activity 233949: sampling based on floor area\n", - "2024-05-14 18:29:51,368 - acbm.assigning - DEBUG - Activity 233951: Initial number of options for activity = 104\n", - "2024-05-14 18:29:51,371 - acbm.assigning - DEBUG - Activity 233951: Number of options after filtering by education type: 104\n", - "2024-05-14 18:29:51,372 - acbm.assigning - DEBUG - Activity 233951: sampling based on floor area\n", - "2024-05-14 18:29:51,373 - acbm.assigning - DEBUG - Activity 233964: Initial number of options for activity = 56\n", - "2024-05-14 18:29:51,374 - acbm.assigning - DEBUG - Activity 233964: Number of options after filtering by education type: 56\n", - "2024-05-14 18:29:51,375 - acbm.assigning - DEBUG - Activity 233964: sampling based on floor area\n", - "2024-05-14 18:29:51,376 - acbm.assigning - DEBUG - Activity 233966: Initial number of options for activity = 32\n", - "2024-05-14 18:29:51,378 - acbm.assigning - DEBUG - Activity 233966: Number of options after filtering by education type: 32\n", - "2024-05-14 18:29:51,379 - acbm.assigning - DEBUG - Activity 233966: sampling based on floor area\n", - "2024-05-14 18:29:51,380 - acbm.assigning - DEBUG - Activity 234182: Initial number of options for activity = 2\n", - "2024-05-14 18:29:51,383 - acbm.assigning - DEBUG - Activity 234182: Number of options after filtering by education type: 2\n", - "2024-05-14 18:29:51,384 - acbm.assigning - DEBUG - Activity 234182: sampling based on floor area\n", - "2024-05-14 18:29:51,385 - acbm.assigning - DEBUG - Activity 234185: Initial number of options for activity = 50\n", - "2024-05-14 18:29:51,388 - acbm.assigning - DEBUG - Activity 234185: Number of options after filtering by education type: 50\n", - "2024-05-14 18:29:51,389 - acbm.assigning - DEBUG - Activity 234185: sampling based on floor area\n", - "2024-05-14 18:29:51,390 - acbm.assigning - DEBUG - Activity 234188: Initial number of options for activity = 59\n", - "2024-05-14 18:29:51,391 - acbm.assigning - DEBUG - Activity 234188: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:51,392 - acbm.assigning - DEBUG - Activity 234188: sampling based on floor area\n", - "2024-05-14 18:29:51,393 - acbm.assigning - DEBUG - Activity 234191: Initial number of options for activity = 59\n", - "2024-05-14 18:29:51,395 - acbm.assigning - DEBUG - Activity 234191: Number of options after filtering by education type: 59\n", - "2024-05-14 18:29:51,396 - acbm.assigning - DEBUG - Activity 234191: sampling based on floor area\n", - "2024-05-14 18:29:51,397 - acbm.assigning - DEBUG - Activity 234193: Initial number of options for activity = 29\n", - "2024-05-14 18:29:51,399 - acbm.assigning - DEBUG - Activity 234193: Number of options after filtering by education type: 29\n", - "2024-05-14 18:29:51,400 - acbm.assigning - DEBUG - Activity 234193: sampling based on floor area\n", - "2024-05-14 18:29:51,401 - acbm.assigning - DEBUG - Activity 234241: Initial number of options for activity = 9\n", - "2024-05-14 18:29:51,403 - acbm.assigning - DEBUG - Activity 234241: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:51,404 - acbm.assigning - DEBUG - Activity 234241: sampling based on floor area\n", - "2024-05-14 18:29:51,405 - acbm.assigning - DEBUG - Activity 234244: Initial number of options for activity = 9\n", - "2024-05-14 18:29:51,407 - acbm.assigning - DEBUG - Activity 234244: Number of options after filtering by education type: 9\n", - "2024-05-14 18:29:51,408 - acbm.assigning - DEBUG - Activity 234244: sampling based on floor area\n", - "2024-05-14 18:29:51,409 - acbm.assigning - DEBUG - Activity 234246: Initial number of options for activity = 12\n", - "2024-05-14 18:29:51,411 - acbm.assigning - DEBUG - Activity 234246: Number of options after filtering by education type: 12\n", - "2024-05-14 18:29:51,412 - acbm.assigning - DEBUG - Activity 234246: sampling based on floor area\n", - "2024-05-14 18:29:51,413 - acbm.assigning - DEBUG - Activity 234248: Initial number of options for activity = 6\n", - "2024-05-14 18:29:51,416 - acbm.assigning - DEBUG - Activity 234248: Number of options after filtering by education type: 6\n", - "2024-05-14 18:29:51,417 - acbm.assigning - DEBUG - Activity 234248: sampling based on floor area\n", - "/home/hussein/miniconda3/envs/pam/lib/python3.11/site-packages/geopandas/geodataframe.py:1525: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " super().__setitem__(key, value)\n" - ] - }, { "data": { "text/html": [ @@ -29563,8 +9331,6 @@ " sic2d2007\n", " pwkstat\n", " ...\n", - " TripDisIncSW\n", - " TripDisExSW\n", " TripTotalTime\n", " TripTravTime\n", " ozone\n", @@ -29573,6 +9339,8 @@ " W5xHH\n", " OA21CD\n", " education_type\n", + " weekday\n", + " time_of_day\n", " \n", " \n", " \n", @@ -29589,8 +9357,6 @@ " NaN\n", " 0\n", " ...\n", - " 3.00\n", - " 3.0\n", " 7.0\n", " 7.0\n", " 3.0\n", @@ -29599,6 +9365,8 @@ " 1.102977\n", " E00059039\n", " education_school\n", + " 0\n", + " morning\n", " \n", " \n", " 149\n", @@ -29613,16 +9381,16 @@ " NaN\n", " 0\n", " ...\n", - " 3.00\n", - " 3.0\n", " 7.0\n", " 7.0\n", " 3.0\n", - " E00059036\n", + " E00058997\n", " 1.026597\n", " 1.056874\n", " E00059039\n", " education_school\n", + " 0\n", + " morning\n", " \n", " \n", " 184\n", @@ -29637,8 +9405,6 @@ " NaN\n", " 0\n", " ...\n", - " 0.75\n", - " 0.0\n", " 15.0\n", " 15.0\n", " 2.0\n", @@ -29647,6 +9413,8 @@ " 0.957925\n", " E00059011\n", " education_school\n", + " 1\n", + " morning\n", " \n", " \n", " 256\n", @@ -29661,16 +9429,16 @@ " NaN\n", " 0\n", " ...\n", - " 7.00\n", - " 7.0\n", " 25.0\n", " 25.0\n", " 9.0\n", - " E00058912\n", + " E00057604\n", " 1.029935\n", " 1.072250\n", " E00059039\n", " education_school\n", + " 1\n", + " morning\n", " \n", " \n", " 257\n", @@ -29685,20 +9453,20 @@ " NaN\n", " 0\n", " ...\n", - " 7.00\n", - " 7.0\n", " 20.0\n", " 20.0\n", " 9.0\n", - " E00058294\n", + " E00058256\n", " 1.059450\n", " 1.102977\n", " E00059039\n", " education_school\n", + " 0\n", + " morning\n", " \n", " \n", "\n", - "

5 rows × 72 columns

\n", + "

5 rows × 74 columns

\n", "" ], "text/plain": [ @@ -29716,50 +9484,46 @@ "256 E00059039 [1193351, 1193352, 1193353] None NaN 0 \n", "257 E00059039 [1193351, 1193352, 1193353] None NaN 0 \n", "\n", - " ... TripDisIncSW TripDisExSW TripTotalTime TripTravTime ozone \\\n", - "139 ... 3.00 3.0 7.0 7.0 3.0 \n", - "149 ... 3.00 3.0 7.0 7.0 3.0 \n", - "184 ... 0.75 0.0 15.0 15.0 2.0 \n", - "256 ... 7.00 7.0 25.0 25.0 9.0 \n", - "257 ... 7.00 7.0 20.0 20.0 9.0 \n", + " ... TripTotalTime TripTravTime ozone dzone W5 W5xHH \\\n", + "139 ... 7.0 7.0 3.0 E00058997 1.071379 1.102977 \n", + "149 ... 7.0 7.0 3.0 E00058997 1.026597 1.056874 \n", + "184 ... 15.0 15.0 2.0 E00059023 0.704096 0.957925 \n", + "256 ... 25.0 25.0 9.0 E00057604 1.029935 1.072250 \n", + "257 ... 20.0 20.0 9.0 E00058256 1.059450 1.102977 \n", "\n", - " dzone W5 W5xHH OA21CD education_type \n", - "139 E00058997 1.071379 1.102977 E00059039 education_school \n", - "149 E00059036 1.026597 1.056874 E00059039 education_school \n", - "184 E00059023 0.704096 0.957925 E00059011 education_school \n", - "256 E00058912 1.029935 1.072250 E00059039 education_school \n", - "257 E00058294 1.059450 1.102977 E00059039 education_school \n", + " OA21CD education_type weekday time_of_day \n", + "139 E00059039 education_school 0 morning \n", + "149 E00059039 education_school 0 morning \n", + "184 E00059011 education_school 1 morning \n", + "256 E00059039 education_school 1 morning \n", + "257 E00059039 education_school 0 morning \n", "\n", - "[5 rows x 72 columns]" + "[5 rows x 74 columns]" ] }, - "execution_count": 32, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Apply the function to all rows in activity_chains_example\n", - "activity_chains_edu['dzone'] = activity_chains_edu.apply(\n", - " lambda row: select_zone(\n", - " row=row,\n", - " possible_zones = possible_zones_school,\n", - " activities_per_zone = activities_per_zone,\n", - " weighting = \"floor_area\",\n", - " zone_id_col = \"OA21CD\"\n", - " ),\n", - " axis=1\n", - ")\n", - "\n", - "activity_chains_edu.head(5)\n", - "\n" + "activity_chains_edu.head(5)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total rows: 7295\n", + "Number of rows with NA in dzone: 813\n" + ] + } + ], "source": [ "# Total rows and number of rows with NA in dzone\n", "print(f\"Total rows: {activity_chains_edu.shape[0]}\")\n", @@ -29768,18 +9532,228 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "mode\n", + "walk 744\n", + "pt 66\n", + "cycle 3\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "activity_chains_edu[activity_chains_edu['dzone'] == 'NA']" + "#activity_chains_edu[activity_chains_edu['dzone'] == 'NA']\n", + "# what is the mode of the rows with NA in dzone\n", + "activity_chains_edu[activity_chains_edu['dzone'] == 'NA']['mode'].value_counts()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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from_idto_idtravel_time_p25travel_time_p50travel_time_p75combinationOA21CD_fromOA21CD_to
43771675564953691100105.0110.0pt_wkday_morningE00059030E00056947
43771685564953692104109.0114.0pt_wkday_morningE00059030E00056948
43771695564953693107112.0117.0pt_wkday_morningE00059030E00056949
43771705564953695111116.0150.0pt_wkday_morningE00059030E00056951
43771715564953696116150.0150.0pt_wkday_morningE00059030E00056952
...........................
35511034556491609121717.017.0cycleE00059030E00170592
35511035556491609134141.041.0cycleE00059030E00170593
35511036556491609142626.026.0cycleE00059030E00170595
35511037556491750802929.029.0cycleE00059030E00187069
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3913 rows × 8 columns

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" + ], + "text/plain": [ + " from_id to_id travel_time_p25 travel_time_p50 travel_time_p75 \\\n", + "4377167 55649 53691 100 105.0 110.0 \n", + "4377168 55649 53692 104 109.0 114.0 \n", + "4377169 55649 53693 107 112.0 117.0 \n", + "4377170 55649 53695 111 116.0 150.0 \n", + "4377171 55649 53696 116 150.0 150.0 \n", + "... ... ... ... ... ... \n", + "35511034 55649 160912 17 17.0 17.0 \n", + "35511035 55649 160913 41 41.0 41.0 \n", + "35511036 55649 160914 26 26.0 26.0 \n", + "35511037 55649 175080 29 29.0 29.0 \n", + "35511038 55649 175097 20 20.0 20.0 \n", + "\n", + " combination OA21CD_from OA21CD_to \n", + "4377167 pt_wkday_morning E00059030 E00056947 \n", + "4377168 pt_wkday_morning E00059030 E00056948 \n", + "4377169 pt_wkday_morning E00059030 E00056949 \n", + "4377170 pt_wkday_morning E00059030 E00056951 \n", + "4377171 pt_wkday_morning E00059030 E00056952 \n", + "... ... ... ... \n", + "35511034 cycle E00059030 E00170592 \n", + "35511035 cycle E00059030 E00170593 \n", + "35511036 cycle E00059030 E00170595 \n", + "35511037 cycle E00059030 E00187069 \n", + "35511038 cycle E00059030 E00187086 \n", + "\n", + "[3913 rows x 8 columns]" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "travel_times[travel_times[\"OA21CD_from\"] == \"E00059030\"]" ] @@ -29796,829 +9770,9 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Activity 1194239: Number of possible destination zones: 21\n", - "Activity 1194239: Number of possible destination zones: 21\n", - "Activity 1194241: Number of possible destination zones: 117\n", - "Activity 1194241: Number of possible destination zones: 117\n", - "Activity 1194241: Number of possible destination zones: 117\n", - "Activity 1194241: Number of possible destination zones: 117\n", - "Activity 1194241: Number of possible destination zones: 117\n", - "Activity 1198099: Number of possible destination zones: 117\n", - "Activity 1204581: Number of possible destination zones: 117\n", - "Activity 1207699: Number of possible destination zones: 117\n", - "Activity 1207699: Number of possible destination zones: 117\n", - "Activity 1207699: Number of possible destination zones: 117\n", - "Activity 1207699: Number of possible destination zones: 117\n", - "Activity 1207699: Number of possible destination zones: 117\n", - "Activity 1209281: Number of possible destination zones: 21\n", - "Activity 1210849: Number of possible destination zones: 21\n", - "Activity 1210849: Number of possible destination zones: 21\n", - "Activity 1210849: Number of possible destination zones: 21\n", - "Activity 1210849: Number of possible destination zones: 21\n", - "Activity 1216351: Number of possible destination zones: 332\n", - "Activity 1216351: Number of possible destination zones: 332\n", - "Activity 1216351: Number of possible destination zones: 332\n", - "Activity 1216351: Number of possible destination zones: 332\n", - "Activity 1219311: Number of possible destination zones: 21\n", - "Activity 1219311: Number of possible destination zones: 21\n", - "Activity 1219311: Number of possible destination zones: 21\n", - "Activity 1223071: Number of possible destination zones: 21\n", - "Activity 1227101: Number of possible destination zones: 21\n", - "Activity 1227101: Number of possible destination zones: 21\n", - "Activity 1227101: Number of possible destination zones: 21\n", - "Activity 1227101: Number of possible destination zones: 21\n", - "Activity 1230000: Number of possible destination zones: 332\n", - "Activity 1230000: Number of possible destination zones: 332\n", - "Activity 1230000: Number of possible destination zones: 332\n", - "Activity 1230000: Number of possible destination zones: 332\n", - "Activity 1230000: Number of possible destination zones: 332\n", - "Activity 1231093: Number of possible destination zones: 332\n", - "Activity 1232516: Number of possible destination zones: 332\n", - "Activity 1232516: Number of possible destination zones: 332\n", - "Activity 1232516: Number of possible destination zones: 332\n", - "Activity 1232516: Number of possible destination zones: 332\n", - "Activity 1233683: Number of possible destination zones: 332\n", - "Activity 1240461: Number of possible destination zones: 332\n", - "Activity 1241987: Number of possible destination zones: 332\n", - "Activity 1253369: Number of possible destination zones: 117\n", - "Activity 1253539: Number of possible destination zones: 332\n", - "Activity 1253540: Number of possible destination zones: 332\n", - "Activity 1259139: Number of possible destination zones: 21\n", - "Activity 1259139: Number of possible destination zones: 21\n", - "Activity 1259139: Number of possible destination zones: 21\n", - "Activity 1259139: Number of possible destination zones: 21\n", - "Activity 1259139: Number of possible destination zones: 21\n", - "Activity 1261335: Number of possible destination zones: 332\n", - "Activity 1261625: Number of possible destination zones: 332\n", - "Activity 1261625: Number of possible destination zones: 332\n", - "Activity 1261625: Number of possible destination zones: 332\n", - "Activity 1261625: Number of possible destination zones: 332\n", - "Activity 1261625: Number of possible destination zones: 332\n", - "Activity 1262971: Number of possible destination zones: 332\n", - "Activity 1266561: Number of possible destination zones: 117\n", - "Activity 1266621: Number of possible destination zones: 332\n", - "Activity 1267882: Number of possible destination zones: 332\n", - "Activity 1270428: Number of possible destination zones: 21\n", - "Activity 1270428: Number of possible destination zones: 21\n", - "Activity 1270698: Number of possible destination zones: 117\n", - "Activity 1272117: Number of possible destination zones: 21\n", - "Activity 1278738: Number of possible destination zones: 21\n", - "Activity 1278739: Number of possible destination zones: 117\n", - "Activity 1279877: Number of possible destination zones: 117\n", - "Activity 1279877: Number of possible destination zones: 117\n", - "Activity 1279877: Number of possible destination zones: 117\n", - "Activity 1279877: Number of possible destination zones: 117\n", - "Activity 1279877: Number of possible destination zones: 117\n", - "Activity 1288030: Number of possible destination zones: 21\n", - "Activity 1288785: Number of possible destination zones: 21\n", - "Activity 1295335: Number of possible destination zones: 332\n", - "Activity 1295335: Number of possible destination zones: 332\n", - "Activity 1295335: Number of possible destination zones: 332\n", - "Activity 1295335: Number of possible destination zones: 332\n", - "Activity 1298449: Number of possible destination zones: 117\n", - "Activity 1298449: Number of possible destination zones: 117\n", - "Activity 1298449: Number of possible destination zones: 117\n", - "Activity 1298449: Number of possible destination zones: 117\n", - "Activity 1301477: Number of possible destination zones: 332\n", - "Activity 1308198: Number of possible destination zones: 332\n", - "Activity 1308426: Number of possible destination zones: 21\n", - "Activity 1308426: Number of possible destination zones: 21\n", - "Activity 1308426: Number of possible destination zones: 21\n", - "Activity 1308427: Number of possible destination zones: 21\n", - "Activity 1308427: Number of possible destination zones: 21\n", - "Activity 1309067: Number of possible destination zones: 332\n", - "Activity 1314611: Number of possible destination zones: 21\n", - "Activity 1314611: Number of possible destination zones: 21\n", - "Activity 1314611: Number of possible destination zones: 21\n", - "Activity 1314612: Number of possible destination zones: 21\n", - "Activity 1314612: Number of possible destination zones: 21\n", - "Activity 1316367: Number of possible destination zones: 117\n", - "Activity 1316749: Number of possible destination zones: 21\n", - "Activity 1316749: Number of possible destination zones: 21\n", - "Activity 1318463: Number of possible destination zones: 332\n", - "Activity 1319778: Number of possible destination zones: 332\n", - "Activity 1320497: Number of possible destination zones: 332\n", - "Activity 1320497: Number of possible destination zones: 332\n", - "Activity 1320497: Number of possible destination zones: 332\n", - "Activity 1320497: Number of possible destination zones: 332\n", - "Activity 1320497: Number of possible destination zones: 332\n", - "Activity 1323300: Number of possible destination zones: 332\n", - "Activity 1323300: Number of possible destination zones: 332\n", - "Activity 1325294: Number of possible destination zones: 21\n", - "Activity 1325688: Number of possible destination zones: 332\n", - "Activity 1325688: Number of possible destination zones: 332\n", - "Activity 1325688: Number of possible destination zones: 332\n", - "Activity 1325688: Number of possible destination zones: 332\n", - "Activity 1326342: Number of possible destination zones: 332\n", - "Activity 1328486: Number of possible destination zones: 332\n", - "Activity 1328486: Number of possible destination zones: 332\n", - "Activity 1328486: Number of possible destination zones: 332\n", - "Activity 1328486: Number of possible destination zones: 332\n", - "Activity 1333981: Number of possible destination zones: 332\n", - "Activity 1333981: Number of possible destination zones: 332\n", - "Activity 1333981: Number of possible destination zones: 332\n", - "Activity 1333981: Number of possible destination zones: 332\n", - "Activity 1333981: Number of possible destination zones: 332\n", - "Activity 1333982: Number of possible destination zones: 117\n", - "Activity 1333982: Number of possible destination zones: 117\n", - "Activity 1333982: Number of possible destination zones: 117\n", - "Activity 1333982: Number of possible destination zones: 117\n", - "Activity 1333982: Number of possible destination zones: 117\n", - "Activity 1335086: Number of possible destination zones: 117\n", - "Activity 1338120: Number of possible destination zones: 332\n", - "Activity 1340234: Number of possible destination zones: 21\n", - "Activity 1340234: Number of possible destination zones: 21\n", - "Activity 1340234: Number of possible destination zones: 21\n", - "Activity 1340234: Number of possible destination zones: 21\n", - "Activity 1340234: Number of possible destination zones: 21\n", - "Activity 1342269: Number of possible destination zones: 332\n", - "Activity 1342269: Number of possible destination zones: 332\n", - "Activity 1342269: Number of possible destination zones: 332\n", - "Activity 1342269: Number of possible destination zones: 332\n", - "Activity 1345796: Number of possible destination zones: 117\n", - "Activity 1345909: Number of possible destination zones: 332\n", - "Activity 1346200: Number of possible destination zones: 117\n", - "Activity 1347916: Number of possible destination zones: 21\n", - "Activity 1347916: Number of possible destination zones: 21\n", - "Activity 1347916: Number of possible destination zones: 21\n", - "Activity 1347916: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1348990: Number of possible destination zones: 21\n", - "Activity 1349685: Number of possible destination zones: 332\n", - "Activity 1350004: Number of possible destination zones: 332\n", - "Activity 1350004: Number of possible destination zones: 332\n", - "Activity 1350004: Number of possible destination zones: 332\n", - "Activity 1350004: Number of possible destination zones: 332\n", - "Activity 1350004: Number of possible destination zones: 332\n", - "Activity 1350457: Number of possible destination zones: 21\n", - "Activity 1350771: Number of possible destination zones: 332\n", - "Activity 1352105: Number of possible destination zones: 332\n", - "Activity 1353257: Number of possible destination zones: 332\n", - "Activity 1353257: Number of possible destination zones: 332\n", - "Activity 1353257: Number of possible destination zones: 332\n", - "Activity 1353257: Number of possible destination zones: 332\n", - "Activity 1357256: Number of possible destination zones: 332\n", - "Activity 1359838: Number of possible destination zones: 332\n", - "Activity 1359839: Number of possible destination zones: 332\n", - "Activity 1361041: Number of possible destination zones: 117\n", - "Activity 1361930: Number of possible destination zones: 117\n", - "Activity 1361931: Number of possible destination zones: 117\n", - "Activity 1368087: Number of possible destination zones: 332\n", - "Activity 1369967: Number of possible destination zones: 332\n", - "Activity 1373132: Number of possible destination zones: 21\n", - "Activity 1373750: Number of possible destination zones: 117\n", - "Activity 1373750: Number of possible destination zones: 117\n", - "Activity 1373750: Number of possible destination zones: 117\n", - "Activity 1373750: Number of possible destination zones: 117\n", - "Activity 1373750: Number of possible destination zones: 117\n", - "Activity 1376024: Number of possible destination zones: 332\n", - "Activity 1386082: Number of possible destination zones: 332\n", - "Activity 1386082: Number of possible destination zones: 332\n", - "Activity 1387203: Number of possible destination zones: 117\n", - "Activity 1388265: Number of possible destination zones: 332\n", - "Activity 1389507: Number of possible destination zones: 332\n", - "Activity 1389507: Number of possible destination zones: 332\n", - "Activity 1389507: Number of possible destination zones: 332\n", - "Activity 1389507: Number of possible destination zones: 332\n", - "Activity 1389507: Number of possible destination zones: 332\n", - "Activity 1389507: Number of possible destination zones: 332\n", - "Activity 1392050: Number of possible destination zones: 332\n", - "Activity 1392050: Number of possible destination zones: 332\n", - "Activity 1392494: Number of possible destination zones: 117\n", - "Activity 1403856: Number of possible destination zones: 117\n", - "Activity 1404473: Number of possible destination zones: 117\n", - "Activity 1405034: Number of possible destination zones: 332\n", - "Activity 1405034: Number of possible destination zones: 332\n", - "Activity 1405034: Number of possible destination zones: 332\n", - "Activity 1405034: Number of possible destination zones: 332\n", - "Activity 1405034: Number of possible destination zones: 332\n", - "Activity 1405035: Number of possible destination zones: 332\n", - "Activity 1405035: Number of possible destination zones: 332\n", - "Activity 1405035: Number of possible destination zones: 332\n", - "Activity 1405058: Number of possible destination zones: 332\n", - "Activity 1406738: Number of possible destination zones: 21\n", - "Activity 1406739: Number of possible destination zones: 332\n", - "Activity 1406832: Number of possible destination zones: 21\n", - "Activity 1406832: Number of possible destination zones: 21\n", - "Activity 1406832: Number of possible destination zones: 21\n", - "Activity 1406832: Number of possible destination zones: 21\n", - "Activity 1406833: Number of possible destination zones: 117\n", - "Activity 1406833: Number of possible destination zones: 117\n", - "Activity 1406833: Number of possible destination zones: 117\n", - "Activity 1406833: Number of possible destination zones: 117\n", - "Activity 1408994: Number of possible destination zones: 332\n", - "Activity 1408995: Number of possible destination zones: 117\n", - "Activity 1411816: Number of possible destination zones: 117\n", - "Activity 1411816: Number of possible destination zones: 117\n", - "Activity 1411816: Number of possible destination zones: 117\n", - "Activity 1411816: Number of possible destination zones: 117\n", - "Activity 1411816: Number of possible destination zones: 117\n", - "Activity 1414441: Number of possible destination zones: 332\n", - "Activity 1415107: Number of possible destination zones: 21\n", - "Activity 1415107: Number of possible destination zones: 21\n", - "Activity 1415107: Number of possible destination zones: 21\n", - "Activity 1415107: Number of possible destination zones: 21\n", - "Activity 1415107: Number of possible destination zones: 21\n", - "Activity 1417088: Number of possible destination zones: 332\n", - "Activity 1418621: Number of possible destination zones: 117\n", - "Activity 1418645: Number of possible destination zones: 332\n", - "Activity 1418645: Number of possible destination zones: 332\n", - "Activity 1418645: Number of possible destination zones: 332\n", - "Activity 1418645: Number of possible destination zones: 332\n", - "Activity 1418645: Number of possible destination zones: 332\n", - "Activity 1421951: Number of possible destination zones: 332\n", - "Activity 1427522: Number of possible destination zones: 21\n", - "Activity 1427801: Number of possible destination zones: 332\n", - "Activity 1427802: Number of possible destination zones: 332\n", - "Activity 1427803: Number of possible destination zones: 332\n", - "Activity 1429889: Number of possible destination zones: 21\n", - "Activity 1429889: Number of possible destination zones: 21\n", - "Activity 1429889: Number of possible destination zones: 21\n", - "Activity 1429889: Number of possible destination zones: 21\n", - "Activity 1429890: Number of possible destination zones: 21\n", - "Activity 1429890: Number of possible destination zones: 21\n", - "Activity 1431263: Number of possible destination zones: 117\n", - "Activity 1431535: Number of possible destination zones: 332\n", - "Activity 1432564: Number of possible destination zones: 21\n", - "Activity 1436321: Number of possible destination zones: 332\n", - "Activity 1436322: Number of possible destination zones: 117\n", - "Activity 1437609: Number of possible destination zones: 332\n", - "Activity 1437889: Number of possible destination zones: 332\n", - "Activity 1448251: Number of possible destination zones: 332\n", - "Activity 1448252: Number of possible destination zones: 117\n", - "Activity 1449621: Number of possible destination zones: 117\n", - "Activity 1449621: Number of possible destination zones: 117\n", - "Activity 1449621: Number of possible destination zones: 117\n", - "Activity 1449621: Number of possible destination zones: 117\n", - "Activity 1452681: Number of possible destination zones: 117\n", - "Activity 1453486: Number of possible destination zones: 21\n", - "Activity 1456100: Number of possible destination zones: 332\n", - "Activity 1456100: Number of possible destination zones: 332\n", - "Activity 1456100: Number of possible destination zones: 332\n", - "Activity 1456100: Number of possible destination zones: 332\n", - "Activity 1456100: Number of possible destination zones: 332\n", - "Activity 1458046: Number of possible destination zones: 117\n", - "Activity 1458177: Number of possible destination zones: 332\n", - "Activity 1458177: Number of possible destination zones: 332\n", - "Activity 1458177: Number of possible destination zones: 332\n", - "Activity 1458177: Number of possible destination zones: 332\n", - "Activity 1458177: Number of possible destination zones: 332\n", - "Activity 1458177: Number of possible destination zones: 332\n", - "Activity 1463133: Number of possible destination zones: 21\n", - "Activity 1463133: Number of possible destination zones: 21\n", - "Activity 1463134: Number of possible destination zones: 332\n", - "Activity 1463390: Number of possible destination zones: 117\n", - "Activity 1464413: Number of possible destination zones: 332\n", - "Activity 1464413: Number of possible destination zones: 332\n", - "Activity 1464413: Number of possible destination zones: 332\n", - "Activity 1464413: Number of possible destination zones: 332\n", - "Activity 1464413: Number of possible destination zones: 332\n", - "Activity 1470433: Number of possible destination zones: 21\n", - "Activity 1470433: Number of possible destination zones: 21\n", - "Activity 1470924: Number of possible destination zones: 21\n", - "Activity 1470925: Number of possible destination zones: 21\n", - "Activity 1470926: Number of possible destination zones: 21\n", - "Activity 1470927: Number of possible destination zones: 21\n", - "Activity 1470928: Number of possible destination zones: 21\n", - "Activity 1470929: Number of possible destination zones: 21\n", - "Activity 1470930: Number of possible destination zones: 21\n", - "Activity 1472793: Number of possible destination zones: 21\n", - "Activity 1475613: Number of possible destination zones: 21\n", - "Activity 1475613: Number of possible destination zones: 21\n", - "Activity 1475614: Number of possible destination zones: 21\n", - "Activity 1475614: Number of possible destination zones: 21\n", - "Activity 1475614: Number of possible destination zones: 21\n", - "Activity 1479961: Number of possible destination zones: 332\n", - "Activity 1479961: Number of possible destination zones: 332\n", - "Activity 1479961: Number of possible destination zones: 332\n", - "Activity 1479961: Number of possible destination zones: 332\n", - "Activity 1479961: Number of possible destination zones: 332\n", - "Activity 1481215: Number of possible destination zones: 117\n", - "Activity 1483863: Number of possible destination zones: 332\n", - "Activity 1484396: Number of possible destination zones: 332\n", - "Activity 1485528: Number of possible destination zones: 332\n", - "Activity 1488099: Number of possible destination zones: 21\n", - "Activity 1490119: Number of possible destination zones: 117\n", - "Activity 1494602: Number of possible destination zones: 117\n", - "Activity 1494602: Number of possible destination zones: 117\n", - "Activity 1494602: Number of possible destination zones: 117\n", - "Activity 1494602: Number of possible destination zones: 117\n", - "Activity 1499383: Number of possible destination zones: 21\n", - "Activity 1501676: Number of possible destination zones: 117\n", - "Activity 1505524: Number of possible destination zones: 332\n", - "Activity 1507272: Number of possible destination zones: 21\n", - "Activity 1507272: Number of possible destination zones: 21\n", - "Activity 1508042: Number of possible destination zones: 332\n", - "Activity 1515575: Number of possible destination zones: 117\n", - "Activity 1515576: Number of possible destination zones: 117\n", - "Activity 1515747: Number of possible destination zones: 332\n", - "Activity 1515747: Number of possible destination zones: 332\n", - "Activity 1515747: Number of possible destination zones: 332\n", - "Activity 1515747: Number of possible destination zones: 332\n", - "Activity 1517574: Number of possible destination zones: 117\n", - "Activity 1517574: Number of possible destination zones: 117\n", - "Activity 1517575: Number of possible destination zones: 117\n", - "Activity 1519572: Number of possible destination zones: 117\n", - "Activity 1519572: Number of possible destination zones: 117\n", - "Activity 1519572: Number of possible destination zones: 117\n", - "Activity 1519572: Number of possible destination zones: 117\n", - "Activity 1519572: Number of possible destination zones: 117\n", - "Activity 1521458: Number of possible destination zones: 332\n", - "Activity 1523543: Number of possible destination zones: 21\n", - "Activity 1528200: Number of possible destination zones: 21\n", - "Activity 1528200: Number of possible destination zones: 21\n", - "Activity 1530866: Number of possible destination zones: 332\n", - "Activity 1532901: Number of possible destination zones: 21\n", - "Activity 1532902: Number of possible destination zones: 21\n", - "Activity 1532903: Number of possible destination zones: 21\n", - "Activity 1532904: Number of possible destination zones: 21\n", - "Activity 1532905: Number of possible destination zones: 21\n", - "Activity 1532906: Number of possible destination zones: 21\n", - "Activity 1532907: Number of possible destination zones: 21\n", - "Activity 1534514: Number of possible destination zones: 332\n", - "Activity 1536917: Number of possible destination zones: 21\n", - "Activity 1536918: Number of possible destination zones: 21\n", - "Activity 1536919: Number of possible destination zones: 21\n", - "Activity 1536920: Number of possible destination zones: 21\n", - "Activity 1536921: Number of possible destination zones: 21\n", - "Activity 1536922: Number of possible destination zones: 21\n", - "Activity 1536923: Number of possible destination zones: 21\n", - "Activity 1537169: Number of possible destination zones: 332\n", - "Activity 1538681: Number of possible destination zones: 21\n", - "Activity 1539491: Number of possible destination zones: 117\n", - "Activity 1545509: Number of possible destination zones: 117\n", - "Activity 1545509: Number of possible destination zones: 117\n", - "Activity 1545509: Number of possible destination zones: 117\n", - "Activity 1545509: Number of possible destination zones: 117\n", - "Activity 1546982: Number of possible destination zones: 117\n", - "Activity 1547692: Number of possible destination zones: 21\n", - "Activity 1548670: Number of possible destination zones: 21\n", - "Activity 1553227: Number of possible destination zones: 117\n", - "Activity 1553654: Number of possible destination zones: 21\n", - "Activity 1553654: Number of possible destination zones: 21\n", - "Activity 1553655: Number of possible destination zones: 21\n", - "Activity 1553655: Number of possible destination zones: 21\n", - "Activity 1553655: Number of possible destination zones: 21\n", - "Activity 1556988: Number of possible destination zones: 117\n", - "Activity 1558619: Number of possible destination zones: 21\n", - "Activity 1560922: Number of possible destination zones: 332\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1562322: Number of possible destination zones: 21\n", - "Activity 1564036: Number of possible destination zones: 117\n", - "Activity 1565405: Number of possible destination zones: 21\n", - "Activity 1569081: Number of possible destination zones: 21\n", - "Activity 1569349: Number of possible destination zones: 21\n", - "Activity 1569349: Number of possible destination zones: 21\n", - "Activity 1569349: Number of possible destination zones: 21\n", - "Activity 1569349: Number of possible destination zones: 21\n", - "Activity 1569349: Number of possible destination zones: 21\n", - "Activity 1575850: Number of possible destination zones: 332\n", - "Activity 1575851: Number of possible destination zones: 117\n", - "Activity 1575851: Number of possible destination zones: 117\n", - "Activity 1575851: Number of possible destination zones: 117\n", - "Activity 1575924: Number of possible destination zones: 332\n", - "Activity 1577628: Number of possible destination zones: 332\n", - "Activity 1579048: Number of possible destination zones: 332\n", - "Activity 1579048: Number of possible destination zones: 332\n", - "Activity 1579048: Number of possible destination zones: 332\n", - "Activity 1579048: Number of possible destination zones: 332\n", - "Activity 1579924: Number of possible destination zones: 332\n", - "Activity 1579924: Number of possible destination zones: 332\n", - "Activity 1579924: Number of possible destination zones: 332\n", - "Activity 1579924: Number of possible destination zones: 332\n", - "Activity 1579924: Number of possible destination zones: 332\n", - "Activity 1580456: Number of possible destination zones: 21\n", - "Activity 1580456: Number of possible destination zones: 21\n", - "Activity 1580456: Number of possible destination zones: 21\n", - "Activity 1580456: Number of possible destination zones: 21\n", - "Activity 1580456: Number of possible destination zones: 21\n", - "Activity 1583113: Number of possible destination zones: 332\n", - "Activity 1584645: Number of possible destination zones: 332\n", - "Activity 1585855: Number of possible destination zones: 332\n", - "Activity 1586068: Number of possible destination zones: 332\n", - "Activity 1586275: Number of possible destination zones: 21\n", - "Activity 1586275: Number of possible destination zones: 21\n", - "Activity 1590277: Number of possible destination zones: 117\n", - "Activity 1591138: Number of possible destination zones: 332\n", - "Activity 1593652: Number of possible destination zones: 117\n", - "Activity 1594342: Number of possible destination zones: 117\n", - "Activity 1597426: Number of possible destination zones: 117\n", - "Activity 1598335: Number of possible destination zones: 21\n", - "Activity 1599298: Number of possible destination zones: 117\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1600715: Number of possible destination zones: 21\n", - "Activity 1618749: Number of possible destination zones: 117\n", - "Activity 1618749: Number of possible destination zones: 117\n", - "Activity 1619610: Number of possible destination zones: 21\n", - "Activity 1622189: Number of possible destination zones: 332\n", - "Activity 1625743: Number of possible destination zones: 332\n", - "Activity 1625743: Number of possible destination zones: 332\n", - "Activity 1625744: Number of possible destination zones: 117\n", - "Activity 1625744: Number of possible destination zones: 117\n", - "Activity 1625745: Number of possible destination zones: 117\n", - "Activity 1625745: Number of possible destination zones: 117\n", - "Activity 1627306: Number of possible destination zones: 332\n", - "Activity 1627307: Number of possible destination zones: 332\n", - "Activity 1629987: Number of possible destination zones: 332\n", - "Activity 1631187: Number of possible destination zones: 332\n", - "Activity 1634186: Number of possible destination zones: 332\n", - "Activity 1635048: Number of possible destination zones: 332\n", - "Activity 1635455: Number of possible destination zones: 332\n", - "Activity 1635550: Number of possible destination zones: 117\n", - "Activity 1637674: Number of possible destination zones: 332\n", - "Activity 1637674: Number of possible destination zones: 332\n", - "Activity 1637674: Number of possible destination zones: 332\n", - "Activity 1637674: Number of possible destination zones: 332\n", - "Activity 1638623: Number of possible destination zones: 332\n", - "Activity 1639468: Number of possible destination zones: 21\n", - "Activity 1641441: Number of possible destination zones: 117\n", - "Activity 1641603: Number of possible destination zones: 117\n", - "Activity 1645581: Number of possible destination zones: 332\n", - "Activity 1645582: Number of possible destination zones: 117\n", - "Activity 1645997: Number of possible destination zones: 21\n", - "Activity 1645997: Number of possible destination zones: 21\n", - "Activity 1645997: Number of possible destination zones: 21\n", - "Activity 1645997: Number of possible destination zones: 21\n", - "Activity 1645997: Number of possible destination zones: 21\n", - "Activity 1647138: Number of possible destination zones: 332\n", - "Activity 1650067: Number of possible destination zones: 117\n", - "Activity 1655369: Number of possible destination zones: 21\n", - "Activity 1655913: Number of possible destination zones: 332\n", - "Activity 1659331: Number of possible destination zones: 332\n", - "Activity 1660356: Number of possible destination zones: 21\n", - "Activity 1660445: Number of possible destination zones: 332\n", - "Activity 1660445: Number of possible destination zones: 332\n", - "Activity 1660445: Number of possible destination zones: 332\n", - "Activity 1660445: Number of possible destination zones: 332\n", - "Activity 1660445: Number of possible destination zones: 332\n", - "Activity 1660631: Number of possible destination zones: 117\n", - "Activity 1664234: Number of possible destination zones: 117\n", - "Activity 1665625: Number of possible destination zones: 332\n", - "Activity 1665626: Number of possible destination zones: 332\n", - "Activity 1665628: Number of possible destination zones: 117\n", - "Activity 1666088: Number of possible destination zones: 332\n", - "Activity 1666592: Number of possible destination zones: 332\n", - "Activity 1666658: Number of possible destination zones: 332\n", - "Activity 1666659: Number of possible destination zones: 332\n", - "Activity 1666660: Number of possible destination zones: 332\n", - "Activity 1672176: Number of possible destination zones: 117\n", - "Activity 1672178: Number of possible destination zones: 117\n", - "Activity 1672178: Number of possible destination zones: 117\n", - "Activity 1672178: Number of possible destination zones: 117\n", - "Activity 1673614: Number of possible destination zones: 117\n", - "Activity 1680063: Number of possible destination zones: 117\n", - "Activity 1680063: Number of possible destination zones: 117\n", - "Activity 1680063: Number of possible destination zones: 117\n", - "Activity 1680063: Number of possible destination zones: 117\n", - "Activity 1680063: Number of possible destination zones: 117\n", - "Activity 1680970: Number of possible destination zones: 21\n", - "Activity 1680972: Number of possible destination zones: 332\n", - "Activity 1682062: Number of possible destination zones: 117\n", - "Activity 1682062: Number of possible destination zones: 117\n", - "Activity 1682062: Number of possible destination zones: 117\n", - "Activity 1682062: Number of possible destination zones: 117\n", - "Activity 1682062: Number of possible destination zones: 117\n", - "Activity 1683410: Number of possible destination zones: 332\n", - "Activity 1687747: Number of possible destination zones: 21\n", - "Activity 1688619: Number of possible destination zones: 332\n", - "Activity 1688619: Number of possible destination zones: 332\n", - "Activity 1688619: Number of possible destination zones: 332\n", - "Activity 1688619: Number of possible destination zones: 332\n", - "Activity 1688967: Number of possible destination zones: 332\n", - "Activity 1689223: Number of possible destination zones: 117\n", - "Activity 1689223: Number of possible destination zones: 117\n", - "Activity 1689223: Number of possible destination zones: 117\n", - "Activity 1689223: Number of possible destination zones: 117\n", - "Activity 1692819: Number of possible destination zones: 332\n", - "Activity 1692819: Number of possible destination zones: 332\n", - "Activity 1692819: Number of possible destination zones: 332\n", - "Activity 1693840: Number of possible destination zones: 332\n", - "Activity 1695606: Number of possible destination zones: 332\n", - "Activity 1696883: Number of possible destination zones: 332\n", - "Activity 1696884: Number of possible destination zones: 332\n", - "Activity 1696885: Number of possible destination zones: 332\n", - "Activity 1697770: Number of possible destination zones: 332\n", - "Activity 1697770: Number of possible destination zones: 332\n", - "Activity 1702004: Number of possible destination zones: 21\n", - "Activity 1702004: Number of possible destination zones: 21\n", - "Activity 1702004: Number of possible destination zones: 21\n", - "Activity 1702005: Number of possible destination zones: 21\n", - "Activity 1702005: Number of possible destination zones: 21\n", - "Activity 1704382: Number of possible destination zones: 332\n", - "Activity 1704382: Number of possible destination zones: 332\n", - "Activity 1704382: Number of possible destination zones: 332\n", - "Activity 1704382: Number of possible destination zones: 332\n", - "Activity 1708720: Number of possible destination zones: 117\n", - "Activity 1713034: Number of possible destination zones: 332\n", - "Activity 1713075: Number of possible destination zones: 332\n", - "Activity 1713075: Number of possible destination zones: 332\n", - "Activity 1713075: Number of possible destination zones: 332\n", - "Activity 1713075: Number of possible destination zones: 332\n", - "Activity 1717091: Number of possible destination zones: 332\n", - "Activity 1717091: Number of possible destination zones: 332\n", - "Activity 1717091: Number of possible destination zones: 332\n", - "Activity 1717762: Number of possible destination zones: 332\n", - "Activity 1724801: Number of possible destination zones: 117\n", - "Activity 1724801: Number of possible destination zones: 117\n", - "Activity 1725431: Number of possible destination zones: 332\n", - "Activity 1725432: Number of possible destination zones: 117\n", - "Activity 1732542: Number of possible destination zones: 21\n", - "Activity 1733263: Number of possible destination zones: 332\n", - "Activity 1733585: Number of possible destination zones: 21\n", - "Activity 1734917: Number of possible destination zones: 332\n", - "Activity 1734917: Number of possible destination zones: 332\n", - "Activity 1734917: Number of possible destination zones: 332\n", - "Activity 1734917: Number of possible destination zones: 332\n", - "Activity 1734917: Number of possible destination zones: 332\n", - "Activity 1734918: Number of possible destination zones: 332\n", - "Activity 1734918: Number of possible destination zones: 332\n", - "Activity 1734918: Number of possible destination zones: 332\n", - "Activity 1734918: Number of possible destination zones: 332\n", - "Activity 1734918: Number of possible destination zones: 332\n", - "Activity 1737024: Number of possible destination zones: 332\n", - "Activity 1737025: Number of possible destination zones: 117\n", - "Activity 1737026: Number of possible destination zones: 117\n", - "Activity 1737026: Number of possible destination zones: 117\n", - "Activity 1737026: Number of possible destination zones: 117\n", - "Activity 1737026: Number of possible destination zones: 117\n", - "Activity 1737026: Number of possible destination zones: 117\n", - "Activity 1737337: Number of possible destination zones: 332\n", - "Activity 1738097: Number of possible destination zones: 332\n", - "Activity 1738097: Number of possible destination zones: 332\n", - "Activity 1738097: Number of possible destination zones: 332\n", - "Activity 1738097: Number of possible destination zones: 332\n", - "Activity 1738319: Number of possible destination zones: 332\n", - "Activity 1738319: Number of possible destination zones: 332\n", - "Activity 1738319: Number of possible destination zones: 332\n", - "Activity 1738319: Number of possible destination zones: 332\n", - "Activity 1738545: Number of possible destination zones: 117\n", - "Activity 1739021: Number of possible destination zones: 332\n", - "Activity 1741499: Number of possible destination zones: 332\n", - "Activity 1741932: Number of possible destination zones: 21\n", - "Activity 1745232: Number of possible destination zones: 21\n", - "Activity 1745810: Number of possible destination zones: 332\n", - "Activity 1746271: Number of possible destination zones: 332\n", - "Activity 1746271: Number of possible destination zones: 332\n", - "Activity 1746271: Number of possible destination zones: 332\n", - "Activity 1746271: Number of possible destination zones: 332\n", - "Activity 1746271: Number of possible destination zones: 332\n", - "Activity 1747074: Number of possible destination zones: 21\n", - "Activity 1749823: Number of possible destination zones: 117\n", - "Activity 1751206: Number of possible destination zones: 21\n", - "Activity 1751496: Number of possible destination zones: 332\n", - "Activity 1751822: Number of possible destination zones: 21\n", - "Activity 1755976: Number of possible destination zones: 117\n", - "Activity 1759991: Number of possible destination zones: 332\n", - "Activity 1761136: Number of possible destination zones: 117\n", - "Activity 1761137: Number of possible destination zones: 117\n", - "Activity 1762030: Number of possible destination zones: 332\n", - "Activity 1762030: Number of possible destination zones: 332\n", - "Activity 1762030: Number of possible destination zones: 332\n", - "Activity 1762030: Number of possible destination zones: 332\n", - "Activity 1762618: Number of possible destination zones: 332\n", - "Activity 1765649: Number of possible destination zones: 332\n", - "Activity 1777086: Number of possible destination zones: 332\n", - "Activity 1779632: Number of possible destination zones: 332\n", - "Activity 1779632: Number of possible destination zones: 332\n", - "Activity 1779632: Number of possible destination zones: 332\n", - "Activity 1779632: Number of possible destination zones: 332\n", - "Activity 1779632: Number of possible destination zones: 332\n", - "Activity 1781779: Number of possible destination zones: 332\n", - "Activity 1781780: Number of possible destination zones: 332\n", - "Activity 1787800: Number of possible destination zones: 21\n", - "Activity 1787801: Number of possible destination zones: 117\n", - "Activity 1791619: Number of possible destination zones: 117\n", - "Activity 1791996: Number of possible destination zones: 117\n", - "Activity 1794477: Number of possible destination zones: 332\n", - "Activity 1794786: Number of possible destination zones: 21\n", - "Activity 1794787: Number of possible destination zones: 332\n", - "Activity 1798934: Number of possible destination zones: 117\n", - "Activity 1798936: Number of possible destination zones: 117\n", - "Activity 1800831: Number of possible destination zones: 117\n", - "Activity 1802643: Number of possible destination zones: 117\n", - "Activity 1804230: Number of possible destination zones: 21\n", - "Activity 1807349: Number of possible destination zones: 332\n", - "Activity 1807350: Number of possible destination zones: 332\n", - "Activity 1807351: Number of possible destination zones: 117\n", - "Activity 1808606: Number of possible destination zones: 117\n", - "Activity 1809483: Number of possible destination zones: 332\n", - "Activity 1810424: Number of possible destination zones: 117\n", - "Activity 1810892: Number of possible destination zones: 332\n", - "Activity 1810892: Number of possible destination zones: 332\n", - "Activity 1810892: Number of possible destination zones: 332\n", - "Activity 1810892: Number of possible destination zones: 332\n", - "Activity 1813687: Number of possible destination zones: 21\n", - "Activity 1813687: Number of possible destination zones: 21\n", - "Activity 1813687: Number of possible destination zones: 21\n", - "Activity 1813688: Number of possible destination zones: 117\n", - "Activity 1815429: Number of possible destination zones: 21\n", - "Activity 1815883: Number of possible destination zones: 332\n", - "Activity 1821536: Number of possible destination zones: 332\n", - "Activity 1821536: Number of possible destination zones: 332\n", - "Activity 1821536: Number of possible destination zones: 332\n", - "Activity 1824319: Number of possible destination zones: 21\n", - "Activity 1824319: Number of possible destination zones: 21\n", - "Activity 1824319: Number of possible destination zones: 21\n", - "Activity 1824319: Number of possible destination zones: 21\n", - "Activity 1825531: Number of possible destination zones: 332\n", - "Activity 1828573: Number of possible destination zones: 332\n", - "Activity 1828682: Number of possible destination zones: 332\n", - "Activity 1828683: Number of possible destination zones: 332\n", - "Activity 1830633: Number of possible destination zones: 332\n", - "Activity 1830633: Number of possible destination zones: 332\n", - "Activity 1830633: Number of possible destination zones: 332\n", - "Activity 1830633: Number of possible destination zones: 332\n", - "Activity 1830879: Number of possible destination zones: 117\n", - "Activity 1832998: Number of possible destination zones: 332\n", - "Activity 1836177: Number of possible destination zones: 332\n", - "Activity 1836177: Number of possible destination zones: 332\n", - "Activity 1836177: Number of possible destination zones: 332\n", - "Activity 1836177: Number of possible destination zones: 332\n", - "Activity 1837367: Number of possible destination zones: 21\n", - "Activity 1838871: Number of possible destination zones: 332\n", - "Activity 1838872: Number of possible destination zones: 332\n", - "Activity 1839199: Number of possible destination zones: 332\n", - "Activity 1840293: Number of possible destination zones: 21\n", - "Activity 1840480: Number of possible destination zones: 21\n", - "Activity 1844218: Number of possible destination zones: 332\n", - "Activity 1847385: Number of possible destination zones: 21\n", - "Activity 1847385: Number of possible destination zones: 21\n", - "Activity 1847514: Number of possible destination zones: 332\n", - "Activity 1853176: Number of possible destination zones: 117\n", - "Activity 1853176: Number of possible destination zones: 117\n", - "Activity 1853176: Number of possible destination zones: 117\n", - "Activity 1853176: Number of possible destination zones: 117\n", - "Activity 1853176: Number of possible destination zones: 117\n", - "Activity 1853997: Number of possible destination zones: 117\n", - "Activity 1859359: Number of possible destination zones: 332\n", - "Activity 1861039: Number of possible destination zones: 332\n", - "Activity 1861039: Number of possible destination zones: 332\n", - "Activity 1861039: Number of possible destination zones: 332\n", - "Activity 1861039: Number of possible destination zones: 332\n", - "Activity 1869647: Number of possible destination zones: 21\n", - "Activity 1869888: Number of possible destination zones: 21\n", - "Activity 1869888: Number of possible destination zones: 21\n", - "Activity 1870505: Number of possible destination zones: 332\n", - "Activity 1877385: Number of possible destination zones: 117\n", - "Activity 1877385: Number of possible destination zones: 117\n", - "Activity 1878293: Number of possible destination zones: 332\n", - "Activity 1878293: Number of possible destination zones: 332\n", - "Activity 1878293: Number of possible destination zones: 332\n", - "Activity 1878293: Number of possible destination zones: 332\n", - "Activity 1878293: Number of possible destination zones: 332\n", - "Activity 1880199: Number of possible destination zones: 117\n", - "Activity 1882831: Number of possible destination zones: 117\n", - "Activity 1884368: Number of possible destination zones: 117\n", - "Activity 1884368: Number of possible destination zones: 117\n", - "Activity 1884368: Number of possible destination zones: 117\n", - "Activity 1884368: Number of possible destination zones: 117\n", - "Activity 1884368: Number of possible destination zones: 117\n", - "Activity 1887292: Number of possible destination zones: 117\n", - "Activity 1887874: Number of possible destination zones: 332\n", - "Activity 1887874: Number of possible destination zones: 332\n", - "Activity 1887874: Number of possible destination zones: 332\n", - "Activity 1887874: Number of possible destination zones: 332\n", - "Activity 1887874: Number of possible destination zones: 332\n", - "Activity 1888557: Number of possible destination zones: 332\n", - "Activity 1888557: Number of possible destination zones: 332\n", - "Activity 1888557: Number of possible destination zones: 332\n", - "Activity 1888557: Number of possible destination zones: 332\n", - "Activity 1890201: Number of possible destination zones: 332\n", - "Activity 1890201: Number of possible destination zones: 332\n", - "Activity 1890201: Number of possible destination zones: 332\n", - "Activity 1890201: Number of possible destination zones: 332\n", - "Activity 1891832: Number of possible destination zones: 117\n", - "Activity 1894476: Number of possible destination zones: 117\n", - "Activity 1894476: Number of possible destination zones: 117\n", - "Activity 1894476: Number of possible destination zones: 117\n", - "Activity 1894476: Number of possible destination zones: 117\n", - "Activity 1894476: Number of possible destination zones: 117\n", - "Activity 1896881: Number of possible destination zones: 21\n", - "Activity 1899647: Number of possible destination zones: 332\n", - "Activity 1899647: Number of possible destination zones: 332\n", - "Activity 1900171: Number of possible destination zones: 332\n", - "Activity 1900171: Number of possible destination zones: 332\n", - "Activity 1900171: Number of possible destination zones: 332\n", - "Activity 1900171: Number of possible destination zones: 332\n", - "Activity 1900880: Number of possible destination zones: 21\n", - "Activity 1900880: Number of possible destination zones: 21\n", - "Activity 1900880: Number of possible destination zones: 21\n", - "Activity 1900880: Number of possible destination zones: 21\n", - "Activity 1902430: Number of possible destination zones: 332\n", - "Activity 1902711: Number of possible destination zones: 21\n", - "Activity 1902711: Number of possible destination zones: 21\n", - "Activity 1902711: Number of possible destination zones: 21\n", - "Activity 1902711: Number of possible destination zones: 21\n", - "Activity 1902711: Number of possible destination zones: 21\n", - "Activity 1908200: Number of possible destination zones: 21\n", - "Activity 1908200: Number of possible destination zones: 21\n", - "Activity 1908200: Number of possible destination zones: 21\n", - "Activity 1908200: Number of possible destination zones: 21\n", - "Activity 1908200: Number of possible destination zones: 21\n", - "Activity 1910331: Number of possible destination zones: 332\n", - "Activity 1911681: Number of possible destination zones: 332\n", - "Activity 1911682: Number of possible destination zones: 117\n", - "Activity 1911683: Number of possible destination zones: 117\n", - "Activity 1911684: Number of possible destination zones: 117\n", - "Activity 1912116: Number of possible destination zones: 332\n", - "Activity 1912116: Number of possible destination zones: 332\n", - "Activity 1912116: Number of possible destination zones: 332\n", - "Activity 1912116: Number of possible destination zones: 332\n", - "Activity 1914608: Number of possible destination zones: 332\n", - "Activity 1915948: Number of possible destination zones: 332\n", - "Activity 1916880: Number of possible destination zones: 332\n", - "Activity 1916880: Number of possible destination zones: 332\n", - "Activity 1916880: Number of possible destination zones: 332\n", - "Activity 1916880: Number of possible destination zones: 332\n", - "Activity 1916880: Number of possible destination zones: 332\n", - "Activity 1916880: Number of possible destination zones: 332\n", - "Activity 1917832: Number of possible destination zones: 332\n", - "Activity 1919488: Number of possible destination zones: 332\n", - "Activity 1919636: Number of possible destination zones: 332\n", - "Activity 1920807: Number of possible destination zones: 117\n", - "Activity 1923391: Number of possible destination zones: 332\n", - "Activity 1923391: Number of possible destination zones: 332\n", - "Activity 1923391: Number of possible destination zones: 332\n", - "Activity 1923391: Number of possible destination zones: 332\n", - "Activity 1923571: Number of possible destination zones: 21\n", - "Activity 1923571: Number of possible destination zones: 21\n", - "Activity 1923572: Number of possible destination zones: 21\n", - "Activity 1923572: Number of possible destination zones: 21\n", - "Activity 1923572: Number of possible destination zones: 21\n", - "Activity 1923572: Number of possible destination zones: 21\n", - "Activity 1930497: Number of possible destination zones: 21\n", - "Activity 1930497: Number of possible destination zones: 21\n", - "Activity 1930498: Number of possible destination zones: 332\n", - "Activity 1931568: Number of possible destination zones: 21\n", - "Activity 1931570: Number of possible destination zones: 332\n", - "Activity 1931570: Number of possible destination zones: 332\n", - "Activity 1931570: Number of possible destination zones: 332\n", - "Activity 1932099: Number of possible destination zones: 21\n", - "Activity 1932100: Number of possible destination zones: 332\n", - "Activity 1932100: Number of possible destination zones: 332\n", - "Activity 1932100: Number of possible destination zones: 332\n", - "Activity 1934307: Number of possible destination zones: 332\n", - "Activity 1934509: Number of possible destination zones: 21\n", - "Activity 1936321: Number of possible destination zones: 332\n", - "Activity 1936608: Number of possible destination zones: 332\n", - "Activity 1938930: Number of possible destination zones: 332\n", - "Activity 2293311: Number of possible destination zones: 332\n", - "Activity 2294130: Number of possible destination zones: 332\n", - "Activity 2294180: Number of possible destination zones: 21\n", - "Activity 2294182: Number of possible destination zones: 332\n", - "Activity 2295983: Number of possible destination zones: 21\n", - "Activity 2297904: Number of possible destination zones: 332\n", - "Activity 2298146: Number of possible destination zones: 332\n", - "Activity 2303521: Number of possible destination zones: 332\n", - "Activity 2304594: Number of possible destination zones: 21\n", - "Activity 2304595: Number of possible destination zones: 332\n", - "Activity 2305611: Number of possible destination zones: 21\n", - "Activity 2310145: Number of possible destination zones: 21\n", - "Activity 2310145: Number of possible destination zones: 21\n", - "Activity 2313425: Number of possible destination zones: 21\n", - "Activity 2315464: Number of possible destination zones: 21\n", - "Activity 2315467: Number of possible destination zones: 21\n", - "Activity 2315469: Number of possible destination zones: 21\n", - "Activity 2327616: Number of possible destination zones: 332\n", - "Activity 2327617: Number of possible destination zones: 117\n", - "Activity 2334001: Number of possible destination zones: 332\n", - "Activity 2336544: Number of possible destination zones: 21\n", - "Activity 2336544: Number of possible destination zones: 21\n", - "Activity 2336544: Number of possible destination zones: 21\n" - ] - } - ], + "outputs": [], "source": [ "# Create a mask for rows where 'dzone' is NaN\n", "mask = activity_chains_edu['dzone'] == 'NA'\n", @@ -30637,7 +9791,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -30666,7 +9820,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -30738,147 +9892,619 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# get number of rows in activity_chains_edu where dzone is NA\n", - "activity_chains_edu[activity_chains_edu['dzone'] == 'NA'].shape[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "activity_chains_ex = activity_chains_edu.copy()\n", - "\n", - "\n", - "# apply the function to a row in activity_chains_ex\n", - "activity_chains_ex[['activity_id', 'activity_geom']] = activity_chains_ex.apply(lambda row: select_activity(row, osm_data_gdf, \"floor_area\"), axis=1)\n", - "activity_chains_ex.head(10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "activity_chains_edu.columns" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": {}, - "outputs": [], - "source": [ - "# For each row in activity_chains_ex, turn the geometry into a linestring: Origin = location and destination = activity_geom\n", - "from shapely.geometry import LineString\n", - "\n", - "activity_chains_plot = activity_chains_ex.copy()\n", - "# filter to only include rows where activity_geom is not NA\n", - "activity_chains_plot = activity_chains_plot[activity_chains_plot['activity_geom'].notna()]\n", - "activity_chains_plot['line_geometry'] = activity_chains_plot.apply(lambda row: LineString([row['location'], row['activity_geom']]), axis=1)\n", - "# Set the geometry column to 'line_geometry'\n", - "activity_chains_plot = activity_chains_plot.set_geometry('line_geometry')\n", - "\n", - "# add the original crs\n", - "activity_chains_plot.crs = \"EPSG:4326\"\n", - "\n", - "# convert crs to metric\n", - "activity_chains_plot = activity_chains_plot.to_crs(epsg=3857)\n", - "# calculate the length of the line_geometry in meters\n", - "activity_chains_plot['length'] = activity_chains_plot['line_geometry'].length\n", - "\n", - "activity_chains_plot.head(10)\n", - "\n", - "# convert crs back to 4326\n", - "activity_chains_plot = activity_chains_plot.to_crs(epsg=4326)\n", - "\n" - ] - }, - { + "outputs": [ + { + "data": { + "text/html": [ + "
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10 rows × 76 columns

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" + ], + "text/plain": [ + " id household location pid_hs msoa \\\n", + "139 1193216 479414 POINT (-1.40789 53.93016) 2906136 E02002330 \n", + "149 1193216 479414 POINT (-1.40789 53.93016) 2906136 E02002330 \n", + "184 1193225 479418 POINT (-1.38883 53.93903) 2904228 E02002330 \n", + "256 1193353 479481 POINT (-1.40789 53.93016) 2905675 E02002330 \n", + "257 1193353 479481 POINT (-1.40789 53.93016) 2905675 E02002330 \n", + "264 1193353 479481 POINT (-1.40789 53.93016) 2905675 E02002330 \n", + "266 1193353 479481 POINT (-1.40789 53.93016) 2905675 E02002330 \n", + "267 1193353 479481 POINT (-1.40789 53.93016) 2905675 E02002330 \n", + "377 1193573 479584 POINT (-1.38883 53.93903) 2900979 E02002330 \n", + "379 1193573 479584 POINT (-1.38883 53.93903) 2900979 E02002330 \n", + "\n", + " oa members sic1d2007 sic2d2007 pwkstat \\\n", + "139 E00059039 [1193214, 1193215, 1193216] None NaN 0 \n", + "149 E00059039 [1193214, 1193215, 1193216] None NaN 0 \n", + "184 E00059011 [1193224, 1193225] None NaN 0 \n", + "256 E00059039 [1193351, 1193352, 1193353] None NaN 0 \n", + "257 E00059039 [1193351, 1193352, 1193353] None NaN 0 \n", + "264 E00059039 [1193351, 1193352, 1193353] None NaN 0 \n", + "266 E00059039 [1193351, 1193352, 1193353] None NaN 0 \n", + "267 E00059039 [1193351, 1193352, 1193353] None NaN 0 \n", + "377 E00059011 [1193572, 1193573] None NaN 0 \n", + "379 E00059011 [1193572, 1193573] None NaN 0 \n", + "\n", + " ... ozone dzone W5 W5xHH OA21CD education_type \\\n", + "139 ... 3.0 E00058997 1.071379 1.102977 E00059039 education_school \n", + "149 ... 3.0 E00058997 1.026597 1.056874 E00059039 education_school \n", + "184 ... 2.0 E00059023 0.704096 0.957925 E00059011 education_school \n", + "256 ... 9.0 E00057604 1.029935 1.072250 E00059039 education_school \n", + "257 ... 9.0 E00058256 1.059450 1.102977 E00059039 education_school \n", + "264 ... 9.0 E00058296 0.968907 1.008714 E00059039 education_school \n", + "266 ... 9.0 E00059071 1.015166 1.056874 E00059039 education_school \n", + "267 ... 9.0 E00058672 0.991110 1.031830 E00059039 education_school \n", + "377 ... 8.0 E00058296 1.546818 1.068558 E00059011 education_school \n", + "379 ... 8.0 E00058739 1.463459 1.010973 E00059011 education_school \n", + "\n", + " weekday time_of_day activity_id \\\n", + "139 0 morning 130574220 \n", + "149 0 morning 130574220 \n", + "184 1 morning 2409409 \n", + "256 1 morning 21249023 \n", + "257 0 morning 435633580 \n", + "264 1 morning 262780150 \n", + "266 0 morning 791397262 \n", + "267 1 morning 620929210 \n", + "377 1 morning 262780150 \n", + "379 1 morning 1381546612 \n", + "\n", + " activity_geom \n", + "139 POINT (-1.417458745125357 53.90890919990164) \n", + "149 POINT (-1.417458745125357 53.90890919990164) \n", + "184 POINT (-1.389357834048406 53.9408016531483) \n", + "256 POINT (-1.505514274225008 53.81175134359738) \n", + "257 POINT (-1.552674529943028 53.85060356175634) \n", + "264 POINT (-1.518284163052998 53.8647895096999) \n", + "266 POINT (-1.453494154252905 53.83118075190409) \n", + "267 POINT (-1.513256366675986 53.83007073112418) \n", + "377 POINT (-1.518284163052998 53.8647895096999) \n", + "379 POINT (-1.474703422980635 53.85175150478472) \n", + "\n", + "[10 rows x 76 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "activity_chains_ex = activity_chains_edu.copy()\n", + "\n", + "\n", + "# apply the function to a row in activity_chains_ex\n", + "activity_chains_ex[['activity_id', 'activity_geom']] = activity_chains_ex.apply(lambda row: select_activity(row, osm_data_gdf, \"floor_area\"), axis=1)\n", + "activity_chains_ex.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot the results" + ] + }, + { "cell_type": "code", - "execution_count": null, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ + "# For each row in activity_chains_ex, turn the geometry into a linestring: Origin = location and destination = activity_geom\n", + "from shapely.geometry import LineString\n", "\n", - "import geopandas as gpd\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "from matplotlib.colors import ListedColormap\n", - "from matplotlib.patches import Patch\n", + "activity_chains_plot = activity_chains_ex.copy()\n", + "# filter to only include rows where activity_geom is not NA\n", + "activity_chains_plot = activity_chains_plot[activity_chains_plot['activity_geom'].notna()]\n", + "activity_chains_plot['line_geometry'] = activity_chains_plot.apply(lambda row: LineString([row['location'], row['activity_geom']]), axis=1)\n", + "# Set the geometry column to 'line_geometry'\n", + "activity_chains_plot = activity_chains_plot.set_geometry('line_geometry')\n", "\n", - "# Get the unique 'age_group' values\n", - "age_groups = activity_chains_plot['age_group'].unique()\n", + "# add the original crs\n", + "activity_chains_plot.crs = \"EPSG:4326\"\n", "\n", - "# Create a color mapping dictionary\n", - "color_mapping = {age_group: plt.cm.viridis(i/len(age_groups)) for i, age_group in enumerate(age_groups)}\n", + "# convert crs to metric\n", + "activity_chains_plot = activity_chains_plot.to_crs(epsg=3857)\n", + "# calculate the length of the line_geometry in meters\n", + "activity_chains_plot['length'] = activity_chains_plot['line_geometry'].length\n", "\n", - "# Map the 'age_group' values to the colors\n", - "activity_chains_plot['color'] = activity_chains_plot['age_group'].map(color_mapping)\n", + "activity_chains_plot.head(10)\n", "\n", - "education_types = activity_chains_plot['education_type'].unique()\n", + "# convert crs back to 4326\n", + "activity_chains_plot = activity_chains_plot.to_crs(epsg=4326)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Maps" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "import math\n", "\n", - "# Calculate the number of rows needed for the subplot grid\n", - "nrows = int(np.ceil(len(education_types) / 2))\n", "\n", - "fig, axs = plt.subplots(nrows=nrows, ncols=2, figsize=(20, 8*nrows))\n", + "def plot_activity_chains(activities: pd.DataFrame, activity_type: str, bin_size: int, boundaries: gpd.GeoDataFrame) -> None:\n", + " \"\"\"\n", + " Plots activity chains for a given activity type, bin size and geographical boundaries.\n", "\n", - "# Flatten the axes array to make it easier to iterate over\n", - "axs = axs.flatten()\n", + " Parameters:\n", + " activities: pd.DataFrame\n", + " A DataFrame containing the activities data. Geometry is a LineString.\n", + " activity_type: str\n", + " The type of activity to plot.\n", + " bin_size: int\n", + " The size of the bins for the histogram. (in meters)\n", + " boundaries: gpd.GeoDataFrame \n", + " A GeoDataFrame containing the geographical boundaries for the plot.\n", "\n", - "for ax, education_type in zip(axs, education_types):\n", - " subset = activity_chains_plot[activity_chains_plot['education_type'] == education_type]\n", - " boundaries.plot(ax=ax, color='lightgrey')\n", - " subset.plot(ax=ax, color=subset['color'], markersize=1)\n", - " ax.set_title(f'Activity Chains for {education_type}')\n", + " Returns:\n", + " None \n", + " \"\"\"\n", + " activities_subset = activities[activities['education_type'] == activity_type]\n", + " # Calculate the number of bins based on the maximum value of 'length'\n", + " num_bins = math.ceil(activities_subset['length'].max() / bin_size)\n", "\n", - "# Remove any unused subplots\n", - "for ax in axs[len(education_types):]:\n", - " ax.remove()\n", + " # Calculate the bin edges\n", + " bins = np.arange(num_bins + 1) * bin_size\n", "\n", - "# Create legend\n", - "legend_elements = [Patch(facecolor=color_mapping[age_group], edgecolor=color_mapping[age_group], label=age_group) for age_group in age_groups]\n", - "plt.legend(handles=legend_elements, loc='lower right')\n", + " # Create a new column 'length_band' by cutting 'length' into distance bands\n", + " activities_subset['length_band'] = pd.cut(activities_subset['length'], bins, include_lowest=True)\n", "\n", - "plt.tight_layout()\n", - "plt.show()" + " # Get unique bands and sort them\n", + " bands = activities_subset['length_band'].unique()\n", + " bands = sorted(bands, key=lambda x: x.left)\n", + "\n", + " # Calculate the total number of trips\n", + " total_trips = len(activities_subset)\n", + "\n", + " # Calculate the number of rows and columns for the subplots\n", + " nrows = math.ceil(len(bands) / 3)\n", + " ncols = 3\n", + "\n", + " # Create a grid of subplots\n", + " fig, axs = plt.subplots(nrows, ncols, figsize=(20, 6 * nrows))\n", + "\n", + " # Flatten axs for easy iteration\n", + " axs = axs.flatten()\n", + "\n", + " for ax, band in zip(axs, bands):\n", + " # Get the subset for this band\n", + " subset_band = activities_subset[activities_subset['length_band'] == band]\n", + "\n", + " # Calculate the percentage of trips in this band\n", + " percentage = len(subset_band) / total_trips * 100\n", + "\n", + " # Plot the boundaries\n", + " boundaries.plot(ax=ax, color='lightgrey')\n", + "\n", + " # Plot the subset\n", + " subset_band.plot(ax=ax, markersize=1)\n", + "\n", + " # Set the title\n", + " ax.set_title(f'{activity_type},\\ndistance band: {band},\\nNo. of trips: {len(subset_band)} ({percentage:.2f}%)')\n", + "\n", + " # Remove any unused subplots\n", + " for i in range(len(bands), nrows*ncols):\n", + " fig.delaxes(axs[i])\n", + "\n", + " plt.tight_layout()\n", + " plt.show()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 103, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hussein/miniconda3/envs/pam/lib/python3.11/site-packages/geopandas/geodataframe.py:1525: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " super().__setitem__(key, value)\n" + ] + }, + { + "data": { + "image/png": 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ZI4YPHy5ycnJEaWlps9e/adMmIcuymDFjhtiwYYNYuXKl6N27txgxYoRwOp3afjabTWzZskU888wzAoBYvXp1DE+LiIi6K+bG0LpbbgQgLrroooDMtGXLFnHkyJGA/aLJd5FmGSGEuOaaa4TJZBJLliwReXl54s9//rOQJEksXrw4ovuKNJ9FY+jQoeL4448X8+bNE1lZWWLixIkh92vvZ1JaWipycnLE8OHDxZo1a8QHH3wgTj31VJGUlCR27drV7H1Gmlm9Xq/YsmWLeOuttwQA8dhjj0X4JImIqCtihgytu2VI5qXI2vhCycvLE5mZmWLq1Knisssua/L3aOLEiWLgwIFBWf2XX34J2rc1nklbtSUXFRWJLVu2iKuvvrrD/T0i8seOcaIOKFQ4jQXDaeuLRzidPXu2GDduXET7er1e0atXL3HGGWcEbH/llVcEAPHhhx82eXx5ebkwm83iuuuuC9i+ePFiIUmS+Pnnn7Vtakft5s2btW0ej0ccc8wxYsyYMQHH+3w+7f/nz58f147x5n6/o3kmH3zwgQAgVq1aFbDvtGnTRE5OjvB6vdq2iy++WGRmZoqamhptW35+vjAYDOKuu+5q9vpPOukkccwxxwiPx6Nt++qrrwQAsXTp0qD98/Ly2DFORERRY24MrbvlRgBi/vz5zR4fTb6LNMv89NNPQpIk8be//S3g+GuvvVZYLBZRUVHR5DVFk8+i4Z9Phw8fHraht72fyZ133ikMBoPIz8/XttXU1IjMzEwxe/bsZu8z2syq/jlkxzgRUffGDBlad8uQzEuRtfGF4v/stm/f3mzH+PDhw5s9Z2s8k7ZsS1Z1xL9HRP5YSp2onX3wwQc49thjtTIk4UraNS5npCgKHnroIQwdOhQWiwWpqakYNWoUnnrqKQANpX/uvPNOANDK4UiShE2bNgEAXn/9dZxxxhno1asXLBYLjj76aPz5z3+GzWYLeN+rrroKiYmJ2Lt3L8455xwkJiaib9++uP322+FyuQL2dblceOCBB3D00UfDbDYjIyMDkydPxubNm7V9hBBYunQpjj32WFgsFqSlpeGiiy6KqnTNoUOHMGvWLCQnJyMlJQWXX345ysrKAvZpjfsrLCzE7NmzkZSUhJSUFFxyySUoLi6O+LpDKSkpwdtvv425c+dGtP/WrVtRVFSE3//+9wHbL774YiQmJuLtt99u8vh169bB6XQGHf/73/8eQgisXbtW2/b2229j6NChOPnkk7Vtsizj8ssvx9dff40jR45o23W69vvnJJpn8vbbbyMxMREXX3xxwL6///3vUVhYiG3btgEAvF4v3n//fVx44YVITk7W9svNzcXkyZObfc5HjhzB9u3bMXfuXMiyrG0fP348hgwZ0uzxREREoTA3MjdGkxtDiTTfRZNl1q5dCyFEyHzpcDiwbt26Zq8pknwWrUjzaXs/k7fffhunn346cnNztW3JycmYNWsW3nvvPXi93rDX3tLMSkRE3QMzJDNkuAzJvBR7XmqNttDWeCZt2ZZM1FmwY5yoHX366aeYMWMGkpKS8Nprr+Gxxx7DG2+8geXLlzd77JIlS7Bw4UJcdtll+OCDD/D666/j6quv1tb0ueaaa/DHP/4RAPDWW29hy5Yt2LJlC44//ngAwJ49e3DOOedg2bJlWLduHW699Va88cYbOO+884Ley+Px4Pzzz8eUKVPwzjvvYN68efjHP/6BRx99VNvH6/Xi7LPPxoMPPohzzz0Xb7/9NlasWIHx48ejoKBA2+8Pf/gDbr31VkydOhVr167F0qVL8fPPP2P8+PEoKSmJ6LnNnDkTgwcPxptvvomFCxdi7dq1OPPMMwPWNYn3/TkcDkydOhUbNmzAww8/jNWrV6Nnz5645JJLgs6nrv0TybpMGzZsgMfjweTJkyO6959++gkAMGrUqIDtBoMBw4YN015v7viRI0cGbO/VqxcyMzMDjv/pp5+C3sf/vX/++eeIrrmlRo4cCb1ej+zsbFxxxRUBf57U6/S/LlWoZ/LTTz/h6KOPDgjn/seq++7btw8OhyPs/e/duxdOpzPsNYe7JnVbc79PREREjTE3Mjc2lxtXrVoFi8UCk8mEE044IeSfjUjzXTRZ5qeffkJWVhZ69uwZ8pyR5NNI8llrac9n4nA4sG/fvrDndDgcTTbitzSzEhFR18cMyQwZbdtjKMxLLbdv3z6kp6dDlmUMGjQIf/nLX+BwOAL2aY1n0pZtyUSdhdz8LkTUWv7yl78gOzsbH3/8McxmMwDgzDPPRP/+/Zs99quvvsLIkSOxcOFCbduZZ56p/X+fPn3Qr18/AMBxxx0XdM777rtP+38hBE455RQcffTRmDhxIn744YeAfyzdbjcWLVqkzeKYMmUKvvnmG6xatQr3338/AODVV19FXl4eXnjhBVxzzTXasf5hcOvWrXjhhRfwxBNP4LbbbtO2T5gwAUOGDMHf//73gEAYzqxZs7BkyRIAwBlnnIHs7Gz87ne/wxtvvIHf/e53rXJ/L774In755Re88847OP/887X3djgceOGFFwKuT5Ik6PV66PX6Zu9ly5YtsFgsGDZsWLP7AkBFRQUAID09Pei19PR05OfnN3u8yWRCQkJCyOPV86v7hnsf/2tpLYMGDcLixYtx3HHHwWw24+uvv8aSJUuwYcMG/Pe//0Xv3r0DriOSZ1JRUYGBAweG3M//XM2dUwiBqqoq9OrVK+S1N3d8az87IiLqepgbGzA3hs6Nc+bMwfTp09G3b1+UlpZi2bJlmDdvHvbv348HH3xQ2y/SfBdNlgl3zoSEBBiNxmZzT6T5rLW05zOpqqqCECLmzN3SzEpERF0fM2QDZsjI2x5DYV5qmVNPPRWXXHIJhg0bBofDgY8++ghLlizBl19+iby8PG32eWs8k7ZsSybqLDhjnKid2Gw2bN++HbNmzdKCKQAkJSWFHFnY2JgxY7Bjxw7ceOONWL9+PWpra6N6//3792POnDno2bMn9Ho9DAYDJk6cCAD45ZdfAvaVJCnomkaNGoWDBw9qP3/00Ucwm82YN29e2Pd8//33IUkSLr/8cni9Xu1Xz549MXr0aK3UUnPUAKqaPXs2ZFlGXl5eq91fXl4ekpKStGCqmjNnTtD15ebmwuv1YtmyZc3eS2FhIbKysiBJUsB2n88X8IwURQm65lDCbY90n8avRbNvvM2dOxf33nsvzj77bEyePBl33303PvroI5SVlWlfTiK5npbcU0vvvyW/T0RERCrmRuZGIHxuBIBXXnkFc+bMwYQJE3DhhRfiww8/xLnnnotHHnkkqOxnPLJQW2WmSI9vqfZ+Jp39+RERUcfEDMkMCTSdIaPBvBS7hx56CDfccAMmT56Mc845B08//TQeeeQRfP7553jnnXdivs7W+D2Jdh9mTeqM2DFO1E6qqqqgKEpQaRQAIbc1ds899+Dxxx/H1q1bcfbZZyMjI0Mbbdic+vp6TJgwAdu2bcNDDz2ETZs2Yfv27XjrrbcAIKiMi9VqDQjQAGAymQLKzJSVlSEnJ6fJ9VVKSkoghEB2djYMBkPAr61bt6K8vLzZaweCn48sy8jIyNBGqLXG/VVUVCA7O7vZa4mWw+EIem+gYba0//N54IEHAAAZGRna9TRWWVkZcvSfv4yMDDidTtjt9maP93+mjfcDQo80bG1jxozBkCFDsHXrVm1bNM8k0ntq7pySJCE1NTXsdbb094mIiMgfcyNzo3otoXJjOGqDsP/vc7yyUCT5ymazwe12R5RP2zNztuczSUtLgyRJMd9/SzMrERF1bcyQzJDqtUSTIUNhXoq/yy+/HACC2jjj/Uzasi2ZqLNgKXWidqL+A1ZcXBz0WqhtjcmyjNtuuw233XYbqqur8cknn+Dee+/FmWeeiUOHDsFqtYY9duPGjSgsLMSmTZu0kYwAtDWCYpGVlYUvv/wSiqKEDaiZmZmQJAlffPEFTCZT0OuhtoVSXFysldEGGtYYqqio0P6hb437y8jIwNdffx3yWloiMzMT3377bdD29957Dy6XS/s5JycHwG/rufz444845phjtNe9Xi927dqFyy67rMn38z9+7Nix2vbi4mKUl5djxIgRAfv++OOPQedQt/nv25aEEAF/xqJ5JiNHjsSrr74Kr9cbsI5l43saNGgQLBZL2PsfPHhwk18q1PP8+OOPOOecc4KOb69nR0REnRNzI3MjED43hiOEAICg3BRJvosmy4wcORKvvfYaiouLAxpuI82Mkeaz1tKez8RisWDw4MFh399isYQsM69qaWYlIqKujRmSGRKIPkOGwrzUehpn9Xg/k7ZsSybqLDhjnKidJCQkYMyYMXjrrbcCRgfW1dXhvffei+pcqampuOiiizB//nxUVlZqa4OoYa/xKEW1xEnjMPivf/0r2tvQnH322XA6nVixYkXYfc4991wIIXDkyBGceOKJQb/Uf2ib88orrwT8/MYbb8Dr9WLSpEkAWuf+Jk+ejLq6Orz77rsB21etWhXzOQFg2LBhqKioQE1NTcD2kSNHBjwbtWN87Nix6NWrV9BzfvPNN1FfX49Zs2Y1+X5nnXUWzGZz0PErVqyAJEm44IILtG0zZ87Erl27sG3bNm2b1+vFypUrMXbsWO2a2tLWrVuxZ88ejBs3TtsWzTOZOXMm6uvrsWbNmoB9X3zxReTk5GgBT5ZlnHfeeXjrrbdQV1en7VdQUIC8vLxmn3Pv3r0xZswYrFy5Ej6fL+D6f/3112aPJyIi8sfcyNwIhM+N4bz88sswGAw44YQTtG2R5rtossyMGTMgSRJefPHFgPdfsWIFLBYLzjrrrCavM9J81lra+5nMnDkTGzduxKFDh7RtdXV1eOutt3D++ecHDBZorKWZlYiIujZmSGZIIPoMGQrzUvyp9+3fxtkaz6Qt25KJOg1BRO1mw4YNQqfTiVNPPVW8/fbb4s033xQnnXSS6Nu3r2j81zM3N1dceeWV2s/nnnuu+POf/yzefPNN8dlnn4mXXnpJ9O/fX+Tm5gq32y2EECIvL08AEH/4wx/E5s2bxfbt20Vtba0oLy8XaWlpYvTo0eKtt94S7733nrj00kvFUUcdJQCI5cuXa+9z5ZVXioSEhKBrX7BgQcA1ejweMXnyZGEwGMRdd90lPvroI/HBBx+I+++/X7z66qvaftddd52wWq3izjvvFO+9957YuHGjeOWVV8QNN9wgli5d2uTzUt8zNzdX3HnnnWLDhg3iH//4h0hMTBSjR48WLpdLCCFa5f5sNpsYMmSISElJEf/85z/F+vXrxS233CL69esXdM78/Hyh1+vFvHnzmrwfIYT4/PPPBQCxfv36ZvdVvfzyywKAuO6660ReXp54/vnnRWpqqpg2bVrAfps2bRJ6vV4sWrQoYPtDDz0kJEkS9957r9i0aZN47LHHhMlkEtdee23Afk6nUwwfPlz07dtXvPLKK+Ljjz8WM2fOFLIsi02bNgXsm5+fL1avXi1Wr14tzjrrLAFA+3n79u0B++bm5orc3Nxm73PUqFFiyZIl4r333hMff/yxWLx4sUhNTRU5OTmisLAwpmcihBDTpk0TaWlp4vnnnxcbN24U1157rQAgVq5cGbDfL7/8IhITE8Vpp50mPvzwQ/HWW2+JESNGiJycHFFaWhqwr16vF6effnrAtry8PCHLspg5c6b4+OOPxSuvvCL69u0rRowYIZxOZ9B1qX9fV69eHbRtwYIFzT4vIiLq2pgbmRvD5cYlS5aIq666Srz88ssiLy9PvP766+KMM84QAMTChQsD9o0m30WTZa655hphMpnEY489JjZt2iTuvfdeIUmSWLx4ccB+ixYtEnq9Pui9Is1ny5cvD3qG4Wzfvl3Lo3379hXHHHOM9nN+fn6HeSalpaWiV69eYuTIkeLtt98WH374oTjttNNEUlKS+OWXXwL2HTRokBg0aFDAtmgyqxBCHDhwQAAQjz32WNA2/88NIiLqGpghmSGbantkXgrOSxMnTgz6uxGO+qweffRRAUDMnz9f26b6/PPPxZlnnimee+45sWHDBvHuu++KG264QWtL9Pl8rf5M2qotWaX+2S4rKwvalpeXF9GzJWpN7BgnamfvvvuuGDVqlDAajaJfv37ikUceCQpGQgSH0yeeeEKMHz9eZGZmasdeffXVAaFFCCHuuecekZOTI3Q6XcA/Pps3bxYnn3yysFqtIisrS1xzzTXi22+/jTm8CSGEw+EQ999/vzjqqKOE0WgUGRkZ4vTTTxebN28O2O8///mPGDt2rEhISBAWi0UMGjRIXHHFFeKbb75p8lmp7/nf//5XnHfeeSIxMVEkJSWJyy67TJSUlATs2xr3d/jwYXHhhRdq73vhhReKzZs3B50zmoYln88n+vfvL2688cZm9/W3atUq7c9Nz549xc033yzq6uoC9mmqU/Wpp54SQ4YM0f7sLFiwQPtS46+4uFhcccUVIj09XZjNZjFu3Djx8ccfB+2nNlKG+tX4OWRmZopx48Y1e4+XXnqpGDx4sEhISBAGg0Hk5uaK66+/PqhTPJpnIoQQdXV14uabbxY9e/YURqNRjBo1KuALlL9vvvlGTJkyRVitVpGcnCwuuOACsXfv3qD9AIiJEycGbd+wYYMYN26cMJvNIj09XVxxxRVBf1ZVoTrG33vvPQFAPPfccyGPISKi7oW5kbkxVG589913xamnniqysrKELMsiKSlJTJgwIWy+iTTfCRF5lnG73WLBggWiX79+wmg0iiFDhoj/+7//C9ovXINYpPns6aefFgDEunXrwj0mzZVXXhk2nzbuWG/PZyKEEHv37hUXXHCBSE5OFlarVUyZMkX897//Ddov3ADTSDOrEKE7xn/88UcBQPz5z38OeQwREXVuzJDMkOHaHpmXgvPSCSecIHr27BnyGhoL9+z8f1/37NkjzjnnHNG7d29hMpmE2WwWI0eOFIsXLw45caY1nokQbdeWLETojvHbb79dSJIU1GlP1B4kIf638BgREbWLJ554AosXL8aRI0dgsVja+3Ja1c6dOzF8+HC8//77mD59entfTofh9Xrx2WefYerUqVi9ejUuuugiAMBdd92FV199FXv27OH6kERERNStcmMos2fPxoEDB7B9+/b2vpROyev14uDBgxg8eDAee+wx3HHHHQCApUuX4q677sK+ffuQnZ3dzldJRERE8dbdM2Sk6urqkJ6ejieffBLz589v78vpdIQQ8Pl8eOCBB/Dggw+irKwMmZmZAIAxY8YgNzcXq1evbuerJOIa40RE7W7+/PlISUnBM888096X0ury8vJw8skns1Pcz/fffw+DwYCpU6cGvZaXl4e//vWv7BQnIiIiAN0rNzYmhMCmTZuwePHi9r6UTqm6uhoGgwGDBw8Oei0vLw8333wzO8WJiIi6qO6cIaPx+eefo3fv3rj22mvb+1I6paeeegoGgwEPPvhgwPba2lrs2LEDDzzwQDtdGVEgzhgnIuoAvvzyS3z33Xf44x//2N6XQm3M4XDg559/1n4eNGgQ0tLS2vGKiIiIqCNjbqRY+Hw+fPfdd9rPffv2ZUc4ERFRN8IMSa2ttLQUBQUF2s/HHnssZFluxysiCo0d40RERERERERERERERERE1KWxlDoREREREREREREREREREXVp7Bgn6iZWrFgBSZJgNptx8ODBoNcnTZqEESNGtMOVhfb6669j+PDhsFgskCQJ33//fcj9du7ciYULFyI/Pz+q80+aNAmTJk1q8XXGQ//+/SFJUshfjdeWDrfv9ddfH7DfVVddFfackiRh69atEV3bvHnzcNZZZ4V9fefOnTCZTJAkCd98802T57rvvvsgSVLEf84WLlwY0TNRlZeX45ZbbkH//v1hMpmQnZ2Ns88+G5WVldo+hw4dwjnnnIPk5GQcffTReOedd4LOs3r1amRkZKCsrCzotblz5+KCCy6I6PqJiIi6KubKQB0pVzZ2+eWXQ5IknHvuuUGvvfTSS7j00ksxdOhQ6HQ69O/fP+Q5vv/+e0yfPh39+vWDxWJBeno6Tj75ZKxcuTKqa2mcK3fv3o077rgDJ5xwAlJTU5Geno5TTjkFb775ZrPnijZXvvrqqzjttNOQnZ0Nk8mEnJwcnHfeedi8eXPQvpE+F+ZKIiKilmGmDNSRMmWk2amoqAj33XcfTj75ZGRmZiI5ORknnHACnn/+efh8vqDzfv311zjzzDORlJSExMRETJ48GV999VVU1xaqrfLJJ5/ErFmzMGDAAEiS1ORzXL9+PU455RRYLBakpKTgvPPOC1jisCnRZEqAbZVEHRUL/BN1My6XC/fddx9efvnl9r6UsMrKyjB37lycddZZWLp0KUwmE4YMGRJy3507d2LRokWYNGlS2EarUJYuXRqnq225t99+Gy6XK2BbQUEBLrnkEsycOTNo/1NOOQWPP/54wLbG6wP+9a9/DeosB4DzzjsPJpMJJ510UrPX9d133+HFF1/Etm3bQr7u8/kwb948ZGZmorCwsMlzff/993j88cdjWsdw3bp1SElJ0X7W6YLHdBUWFmLChAmQZRl//etfcdRRR6G8vBx5eXlwu93afldeeSVcLhfefPNNbNq0CbNnz8bOnTsxaNAgAEBNTQ1uueUWPP7448jKygp6n4ULF2LYsGHYuHEjTj/99KjvhYiIqCthrmzQkXKlvw8++ABr165FcnJyyNdffvllFBcXY8yYMVAUBR6PJ+R+1dXV6Nu3Ly677DL07t0bNpsNr7zyCubOnYv8/Hzcd999zV5LqFy5YcMGfPDBB5g7dy5OOukkeL1evP7667j44ouxaNEi3H///SHPFUuurKiowCmnnIJbbrkFmZmZKCoqwt///necdtpp+PTTTzFx4sSonwtzJRERUXwwUzboSJky0uz03//+Fy+99BKuuOIK/PWvf4XBYMBHH32EG264AVu3bsV//vMf7Zzbt2/HaaedhjFjxuDll1+GEAJLlizBlClTkJeXh5NPPrnZ6wrXVvncc88hISEBp59+Ot57772wx7/zzjuYOXMmZsyYgTVr1qCmpgaLFi3ChAkTsH37di3HtfS5AGyrJOrQBBF1C8uXLxcAxFlnnSV0Op34/vvvA16fOHGiGD58eDtdXaAvv/xSABCvv/56s/uuXr1aABB5eXkRndtms7Xw6trGwoULBQDxySefBGzPzc0V06dPj+mcmzZtEgDEfffdF9H+s2fPFuPGjQv7+mOPPSZ69+4tnnrqKQFAbN++PeR+Ho9HHHvsseLmm2+O6s/ZggULBABRVlbW7L4zZswQvXv3FpWVlWH3sdlsQpIksXnzZm3bUUcdJZ599lnt5z/84Q9i0qRJTb7XueeeK6ZNmxbBHRAREXVNzJUNOnKurK6uFr179xZ///vfw+ZHn8+n/f/06dNFbm5uVO8xduxY0bdv34j2DZUry8rKhKIoQftOnz5dWK1W4XQ6g16LNVeGUl1dLQwGg5g7d27A9kieC3MlERFRyzFTNujImdJfqOxUWVkp3G530L7z588XAERBQYG27cwzzxTZ2dkB91tbWysyMzPF+PHjI7qGcG2V/vlt+PDhYuLEiSGPHzp0qBg1alRABs3PzxdGo1HMmTMnomtoLFymZFslUcfFUupE3cxdd92FjIwM3H333c3u63Q6cc8992DAgAEwGo3o3bs35s+fj+rq6pjf/91338XJJ58Mq9WKpKQkTJs2DVu2bNFev+qqq3DqqacCAC655JImy9+sWLECF198MQBg8uTJWqntFStWAPit5NLnn3+O8ePHw2q1Yt68edpr/ufNz8+HJElYsmQJFi9ejH79+sFsNuPEE0/Ep59+GvC+ZWVluO6669C3b1+YTCZkZWXhlFNOwSeffBLzc/EnhMDy5csxcODAuI70W7ZsGSRJ0p5BU0pKSvD2229j7ty5IV/fs2cP7r//fixdujTsLCTVI488gsrKSixevDim625Ofn4+3n33XVx77bVIS0sLu5/b7YYQAgkJCdq2xMREOJ1OAMDmzZvx0ksv4V//+leT7zd37lx88skn2LdvX3xugIiIqJNiruy4ufL2229Hr169cPPNN4fdJ1QVnmhkZmZClpsvQhcuV2ZmZkKSpKD9x4wZA7vdHlBiUhXPXJmUlASz2Rx0D5E8F+ZKIiKi+GGm7LiZ0l+o7JSWlgaDwRC075gxYwAAhw8f1rZ99dVXmDRpEqxWa8A5TzvtNGzevBlFRUVNvn9TbZWR5LeKigr8+uuvOPvsswMyaG5uLkaMGIG1a9eGLP/enFDPhW2VRB0bO8aJupmkpCTcd999WL9+PTZu3Bh2PyEELrjgAjz++OOYO3cuPvjgA9x222148cUXcfrppweV/o7EqlWrMGPGDCQnJ+PVV1/FsmXLUFVVhUmTJuHLL78E0FAC/JlnngEA/O1vf8OWLVvClhKaPn06/va3vwEAnnnmGWzZsgVbtmzB9OnTtX2Kiopw+eWXY86cOfjwww9x4403NnmN//znP7Fu3To8+eSTWLlyJXQ6Hc4+++yAQDx37lysXbsW999/PzZs2IB///vfmDp1KioqKrR9Nm3aBEmSsHDhwqif0yeffIKDBw9i3rx5IRsLP//8cyQlJcFgMOCYY47BE0880Wxwq6mpwZtvvokpU6ZgwIABzV7Dhg0b4PF4MHny5KDXhBC45pprcO655+L8889v8jw7d+7EQw89hGeffRaJiYnNvm8oI0eOhF6vR3Z2Nq644goUFBQEvP7FF19ACIGcnBxcdtllSExMhNlsxqRJkwJ+31JTUzFs2DA88cQTqKqqwtq1a7Fjxw6MHz8eHo8H1113He65556wpbBUkyZNghACH374YUz3Q0RE1FUwV3bMXPnJJ5/gpZdewr///W/o9fqIjomEoijwer0oKyvD0qVLsX79+ogasJvKlaHk5eUhKysLPXr0CNgej1zp8/ng8XiQn5+PG264AUIIzJ8/P+rzMFcSERHFDzNlx8yUQOzZaePGjZBlOSALud1umEymoH3VbT/++GOT54w2Uzamli8Pdw12uz3ijuXmngvbKok6uLafpE5E7UEtT7R9+3bhcrnEwIEDxYknnqiVjmlcnmjdunUCgFiyZEnAeV5//XUBQDz//PNRvb/P5xM5OTli5MiRAeVt6urqRI8ePQJK5uTl5QkAYvXq1c2et6nyRBMnThQAxKeffhryNf+yOgcOHBAARE5OjnA4HNr22tpakZ6eLqZOnaptS0xMFLfeemuT17Vp0yah1+vFokWLmr2Hxi655BKh1+vF4cOHg1678cYbxX/+8x/x2WefibVr14rf/e53AoC4/PLLmzzns88+KwCIV199NaJruOGGG4TFYglZ3vLpp58WaWlpori4WAgR+GfLn8/nE2PHjhWXXXaZti2aMlgvvfSSWLx4sfjwww/Fxo0bxSOPPCLS09NFdnZ2wLN5+OGHBQCRnJwsZsyYIdatWyfWrFkjRo0aJcxms9ixY4e271dffSV69uwpAAidTifuv/9+IYQQDz74oDjmmGOEy+WK6Np69+4tLrnkkoj2JSIi6mqYK4Nf6yi5sq6uTvTv31/cc8892rZIluKJpJT6H/7wBwFAABBGo1EsXbq02esRoulc2dgLL7wgAIinnnoqYHtLc6Vq6NCh2j306tVLfPnll03u39RzYa4kIiJqGWbK4Nc6SqZURZudhBBi/fr1QqfTiT/96U8B24899lgxZMiQgGft8XjEwIEDBQCxatWqJs8baaYMV0rd5/OJ9PR0MWXKlIDtVVVVIikpSQAIKGnelOaeC9sqiTo2zhgn6oaMRiMeeughfPPNN3jjjTdC7qOO0LzqqqsCtl988cVISEgIKtnTnF9//RWFhYWYO3duQHmbxMREXHjhhdi6dSvsdnt0NxKBtLS0qMqRz5o1C2azWfs5KSkJ5513Hj7//HNtVvaYMWOwYsUKPPTQQ9i6dSs8Hk/QeSZOnAiv14v7778/quutrKzE2rVrcdZZZ6F3795Brz/zzDP4/e9/j9NOOw0zZszAypUrcdNNN2HlypX47rvvwp532bJlyMjIwMyZMyO6jsLCQmRlZQXNWD948CDuuecePPbYY8jOzm7yHH//+9+xZ88ePPnkkxG9Z2Nz587Fvffei7PPPhuTJ0/G3XffjY8++ghlZWVYsmSJtp+iKACAPn36YM2aNTjzzDMxa9YsrFu3DjqdLmDf8ePHo6CgALt27UJlZSUWLVqEPXv24G9/+xv+9a9/QZZlLFiwAP369UPPnj1x0003aeWL/PXo0QNHjhyJ6b6IiIi6EubK8NojV/75z3+GwWCIOoNG4t5778X27dvxwQcfYN68ebjpppvw+OOPN3tcuFzZ2EcffYT58+fjoosuwh//+MeA11qaK1Vr1qzBtm3bsHr1ahxzzDE4++yzsWnTppjOxVxJREQUP8yU4bVnW2W02enbb7/F7NmzMW7cODz88MMBr/3xj3/E7t27cdNNN+HIkSM4dOgQrr/+ehw8eBBA8+XQI82U4eh0OsyfPx+ffvopHnzwQZSWlmLv3r24/PLLtd/nSJcaau65sK2SqGNjxzhRN3XppZfi+OOPx1/+8peQYamiogKyLCMrKytguyRJ6NmzZ0Apnkio+/fq1SvotZycHCiKgqqqqqjOGYlQ79eUnj17htzmdrtRX18PAHj99ddx5ZVX4t///jdOPvlkpKen44orrkBxcXGLr3flypVwuVy45pprIj7m8ssvBwBs3bo15Os//PADvvnmG1x++eUhywWF4nA4AkK3av78+RgxYgQuvPBCVFdXo7q6WguP9fX1qKmpAQAUFBTg/vvvx4IFC2A0GrV9vV4vFEVBdXU1HA5HxPeoGjNmDIYMGRJwrxkZGQCAqVOnBpQL7dWrF0aPHo1vv/024BwGgwFDhw5FSkoKAOD666/H3Llzceqpp2L58uVYvnw5Pv30U3z33Xf44osvgoI8AJjN5piun4iIqCtirgytrXPl119/jaVLl2LJkiVwOp1a/lJLoFdXV8dUYlTVr18/nHjiiTjnnHPw7LPPaqUdy8rKmjwuXK70t379esyaNQvTpk3DK6+8EtDgGc9cOXz4cIwZMwYXXXQR1q1bh9zcXNxyyy0RHRsKcyUREVH8MFOG1p5tldFkp++++w7Tpk3DUUcdhQ8//DCoDXLevHl45JFH8PLLL6NPnz7o168fdu7ciTvuuAMAQk4Q8hdJpmzO/fffjz/96U946KGHkJ2djaOOOgoA8Pvf/z6ia1A191zYVknUsbFjnKibkiQJjz76KPbt24fnn38+6PWMjAxtDUF/QggUFxcjMzMzqvdTA0FRUVHQa4WFhdDpdEhLS4vqnJGIdhRhqMBYXFwMo9GorWWYmZmJJ598Evn5+Th48CAefvhhvPXWW0EjVmOxbNkyZGdn49xzz434GCEEgPCjGpctWwYAUXW2Z2ZmorKyMmj7Tz/9hK1btyItLU37pa6hM3nyZOTm5gIA9u/fD4fDgVtuuSVg36+++gq//PIL0tLScM8990R8Pf6EEAH3OmrUqIj3bWzFihXYuXMnHn30UQANM5UuvvhiHHXUUejVqxeuvvrqkOvzVFZWRv13gIiIqKtirgytrXPlzp07IYTAzJkzA/LXoUOHsH79eqSlpeHZZ5+N+rzhjBkzBl6vF/v3729yv3C5UrV+/XpccMEFmDhxItasWQOj0RjwemvlSlmWcfzxx2P37t1RHxsKcyUREVHLMFOG1t5tlaqmstN3332HqVOnIjc3Fxs2bNA6eBu7++67UV5ejh9//BH5+fnYvHkzqqqqkJCQgBNOOKHJ928uU0Z6D3//+99RUVGBH374AYWFhXj//fdRUFCAAQMGoE+fPjGds/FzYVslUcfGjnGibmzq1KmYNm0aHnjgAW2EoWrKlCkAGmYw+1uzZg1sNpv2eqSGDh2K3r17Y9WqVVpHLgDYbDasWbMGJ598MqxWa9T3oI4+jNeIuLfeeiugHE1dXR3ee+89TJgwIWCEn6pfv3646aabMG3atKDRftH65ptv8MMPP+DKK6+ELMsRH/fSSy8BAMaNGxf0msvlwsqVKzFmzBiMGDEi4nMOGzYMFRUV2gxw1WuvvYa8vLyAX3fffTcA4LnnnsP7778PADj22GOD9svLy8Po0aPRv39/5OXl4aabbor4elRbt27Fnj17Au517Nix6NOnDzZs2KCVkAIavsTs2LEj5HMBgPLyctxxxx146qmnkJqaCqAhnNpsNm2f+vr6gD+vAOD1enHo0CEcc8wxUV8/ERFRV8VcGaytc+VZZ50VMn9lZ2dj3LhxyMvLw0UXXdSie/KXl5cHnU6HgQMHNrlfuFwJABs2bMAFF1yAU089FWvXrg1Z3ai1cqXT6cTWrVsxePDgqI9tjLmSiIgoPpgpg7VnW6W/cNnp+++/x9SpU9GnTx98/PHHzQ4mMJlMGDFiBHJzc1FQUIDXX38d1157LSwWS5PHNZUpo5WYmIiRI0eiV69e+Pbbb/Hpp5/GXEUo1HNhWyVRxxZ5zwsRdUmPPvooTjjhBJSWlmL48OHa9mnTpuHMM8/E3XffjdraWpxyyin44YcfsGDBAhx33HGYO3eutq/6D//evXvDvo+6fsrvfvc7nHvuufjDH/4Al8uFxx57DNXV1XjkkUdiun61s/f5559HUlISzGYzBgwYoI36jJZer8e0adNw2223QVEUPProo6itrcWiRYsAADU1NZg8eTLmzJmDYcOGISkpCdu3b8e6deswa9Ys7TyfffYZpkyZgvvvvz/itXvUmd1XX311yNdXrVqFt956C9OnT0dubi6qq6uxevVqvPbaa7jqqqswevTooGPWrl2LysrKqGaLA8CkSZMghMC2bdtwxhlnaNtDBbf8/HwAwAknnIATTzwRAJCamopJkyYF7Zuamgqv1xv02pQpU/DZZ5/B6/Vq20aPHo3LL78cRx99NMxmM77++ms89thj6NmzJ+666y5tP51Oh3/84x+YPXs2ZsyYgRtuuAE2mw0PPvggjEZj2BlEt912G8aOHYvZs2dr284880zcfvvtOPnkk5GYmIj/+7//C3p2P/zwA+x2OyZPnhz64REREXVTzJWB2jpX9uzZM2SpTbPZjIyMjKD8tXPnTuzcuRNAw6wju92ON998EwBwzDHHaA1r1113HZKTkzFmzBhkZ2ejvLwcq1evxuuvv44777wzqJxpY+Fy5ZdffokLLrgAPXv2xL333ovvv/8+4LhjjjkGycnJccmV48ePx/nnn4+jjz4aKSkpyM/Px7PPPot9+/bh7bffjum5+GOuJCIiih9mykDt0VYZaXb69ddfMXXqVADA4sWLsWfPHuzZs0d7fdCgQVpW/Omnn7BmzRqceOKJMJlM2LFjBx555BEcddRRePDBB5t9DuEyJdAw2Uhtn6ytrYUQQstvJ510klbhctOmTdi+fTtGjRoFIQS+/vprPProozjrrLOCBlq2JFOyrZKogxNE1C0sX75cABDbt28Pem3OnDkCgBg+fHjAdofDIe6++26Rm5srDAaD6NWrl7jhhhtEVVVVwH65ubkiNzc3outYu3atGDt2rDCbzSIhIUFMmTJFfPXVVwH75OXlCQBi9erVEZ3zySefFAMGDBB6vV4AEMuXLxdCCDFx4sSge1JNnDhRTJw4Ufv5wIEDAoB49NFHxaJFi0SfPn2E0WgUxx13nFi/fr22n9PpFNdff70YNWqUSE5OFhaLRQwdOlQsWLBA2Gy2oHtYsGBBRPdgt9tFSkqKOO2008Lus2XLFjFlyhTRs2dPYTAYhNVqFSeddJJYunSp8Pl8IY+ZNm2aSEhIELW1tRFdh8rn84n+/fuLG2+8sdl9m/qz1Vi435OJEyeKxv8kXXrppWLw4MEiISFBGAwGkZubK66//npRWFgY8txr164VJ510kjCbzSIlJUWcf/754ueffw657yeffCISEhJEfn5+wHav1yvuvvtu0bNnT5Geni6uvfZaYbfbA/b561//KjIzM4XT6Wz2fomIiLoi5spAHS1XNpabmyumT58etH3BggUCQMhf/u/1n//8R0yYMEFkZmYKWZZFamqqmDhxonj55Zcjev9wubKp9wcg8vLymjxvNLny9ttvF6NHjxYpKSlClmXRs2dPMXPmzKA/L9E8FxVzJRERUWyYKQN1pEwZaXZSfw/D/VLvWwghfv31V3HaaaeJ9PR0YTQaxeDBg8V9990n6uvrm3+goum2yiuvvDKia/jqq6/E2LFjRXJysjCZTGLEiBHi8ccfF263O+icLc2UQrCtkqijkoRoVHeBiKgbys/Px4ABA/DYY4/hjjvuaO/L6RCeeOIJLF68GEeOHGm2nFF34fP5MHjwYMyZMweLFy9u78shIiKiDoi5MhhzZTDmSiIiImoKM2UwZspgzJRE0eMa40REFNL8+fORkpKCZ555pr0vpcNYuXIl6uvrceedd7b3pRARERF1GsyVwZgriYiIiKLDTBmMmZIoeuwYJyKikMxmM15++WWYTKb2vpQOQ1EUvPLKK0hNTW3vSyEiIiLqNJgrgzFXEhEREUWHmTIYMyVR9FhKnYiIiIiIiIiIiIiIiIiIujTOGCciIiIiIiIiIiIiIiIioi6NHeNERERERERERERERERERNSlye19AW1JURQUFhYiKSkJkiS19+UQERERdUpCCNTV1SEnJwc6XfcbZ8lMSURERNRy3T1TAsyVRERERPEQTa7sVh3jhYWF6Nu3b3tfBhEREVGXcOjQIfTp06e9L6PNMVMSERERxU93zZQAcyURERFRPEWSK7tVx3hSUhKAhgeTnJzczldDRERE1DnV1taib9++WrbqbpgpiYiIiFquu2dKgLmSiIiIKB6iyZXdqmNcLUmUnJzMsElERETUQt213CMzJREREVH8dNdMCTBXEhEREcVTJLmyey7gQ0RERERERERERERERERE3QY7xomIiIiIiIiIiIiIiIiIqEtjxzgREREREREREREREREREXVp7BgnIiIiIiIiIiIiIiIiIqIujR3jRERERERERERERERERETUpbFjnIiIiIiIiIiIiIiIiIiIujR2jBMRERERERERERERERERUZfGjnEiIiIiIiIiIiIiIiIiIurS2DFORERERERERERERERERERdWlQd4wsXLoQkSQG/evbsGfD6sGHDkJCQgLS0NEydOhXbtm1r8pwejwcPPPAABg0aBLPZjNGjR2PdunVRvS8RERERdS7MlURERETUUsyURERERBQNOdoDhg8fjk8++UT7Wa/Xa/8/ZMgQ/POf/8TAgQPhcDjwj3/8A2eccQb27t2LrKyskOe77777sHLlSrzwwgsYNmwY1q9fj5kzZ2Lz5s047rjjInpfIiIiIup8mCuJiIiIqKWYKYmIiIgoUlF3jMuyHHYE5Jw5cwJ+/vvf/45ly5bhhx9+wJQpU0Ie8/LLL+Mvf/kLzjnnHADADTfcgPXr1+OJJ57AypUrI3rfcFwuF1wul/ZzbW1tVMcTERERUevpLLmSmZKIiIio4+osmRJgriQiIiJqb1GvMb5nzx7k5ORgwIABuPTSS7F///6Q+7ndbjz//PNISUnB6NGjw57P5XLBbDYHbLNYLPjyyy9jel9/Dz/8MFJSUrRfffv2jeAOiYiIiKgtdJZcyUxJRERE1HF1lkwJMFcSERERtTdJCCEi3fmjjz6C3W7HkCFDUFJSgoceegi7du3Czz//jIyMDADA+++/j0svvRR2ux29evXC2rVrcdJJJ4U955w5c7Bjxw6sXbsWgwYNwqeffooZM2bA5/NpIygjed9QQo3C7Nu3L2pqapCcnBzpbRMRERGRn9raWqSkpLQoU3WmXMlMSURERBR/3S1TAsyVRERERK0hmlwZVcd4YzabDYMGDcJdd92F2267TdtWVFSE8vJyvPDCC9i4cSO2bduGHj16hDxHWVkZrr32Wrz33nuQJAmDBg3C1KlTsXz5ctjt9ojfNxLxCNxERERE3V1rZKrOlCuZKYmIiIharrtnSoC5koiIiCgeoslUUZdS95eQkICRI0diz549AdsGDx6McePGYdmyZZBlGcuWLQt7jqysLKxduxY2mw0HDx7Erl27kJiYiAEDBkT1vkRERETUeTFXEhEREVFLMVMSERERUVNa1DHucrnwyy+/oFevXmH3EUIElAgKx2w2o3fv3vB6vVizZg1mzJjRovclIiIios6DuZKIiIiIWoqZkoiIiIiaElXH+B133IHPPvsMBw4cwLZt23DRRRehtrYWV155JWw2G+69915s3boVBw8exLfffotrrrkGhw8fxsUXX6yd44orrsA999yj/bxt2za89dZb2L9/P7744gucddZZUBQFd911V0TvS0RERESdD3MlEREREbUUMyURERERRUOOZufDhw/jsssuQ3l5ObKysjBu3Dhs3boVubm5cDqd2LVrF1588UWUl5cjIyMDJ510Er744gsMHz5cO0dBQQF0ut/6451OJ+677z7s378fiYmJOOecc/Dyyy8jNTU1ovclIiIios6HuZKIiIiIWoqZkoiIiIiiIQkhRHtfRFuJZvF1IiIi6pqEEPB4PDAaje19KZ1Wd89U3f3+iYiIqIHX64VOpwvoVKXIMVPxGRAREVEDt9vNtsoWiCZTMbkTERFRt+F2u5Gfn4+ioqL2vhQiIiIi6sTq6uqwd+9e1NTUtPelEBEREVEnpSgKSkpKsHfvXni93va+nG4hqlLqRERERB2Zy+VCbW0tXC4XQhXFqaurgxACgwYNaoerIyIiIqLOQAgBm82Gurq6kA2UPp8P9fX1sFgsAeW1iYiIiIj8+Xw+1NbWwmazhWyrdDqdcLlcyM7Ohiyzy7Yt8CkTERFRpyWEgNPpRG1trdYh3pysrCyYzeY2uDoiIiIi6iwURYHNZkNNTQ3q6urg8/maPSYnJweSJLXB1RERERFRZ+H1erW2yvr6+mb3N5lMyMzMbIMrI4Ad40RERNQJKYqC0tJS1NbWwu12R3xcUlISsrKyWvHKiIiIiKgzcTqdKCsrQ11dHRRFifi4nJwcWCyWVrwyIiIiIupMqqurUVlZCbvdHvExsiyjb9++HGzZhtgxTkRERGEJISCEgCRJ8Hg8cDqdMBgMLW4E9Hg8kGU5ptDn9Xpx8OBBOByOqI5LSEhAv379GDSJiIiI2oF/p7PL5YLT6URycjL0en3M5xRCwOv1wmAwxHR8XV0dDh06FFWHOAD06tUL6enpMb0nEREREbWMz+eDXq+H1+uF0+mEz+dDcnJyi9r8FEWBECKmbCqEQElJCcrLy6M+dtCgQTFnWYoNO8aJiIi6Oa/XC71eHxAeFUWB2+3GgQMHtI5xWZbhcrmg0+nQv39/WK3WqN+rsrISpaWlkCQJVqsVPXr0gMlkivh4l8uF/Px8eDyeqN87ISGBneJERERErcjr9Qatjejz+VBdXY3i4mLo9Xr4fD5YLBbY7XZUVlaif//+UTdAKoqCI0eOoLa2FmazGYmJicjKyoJOp4v4HFVVVThy5EhU76tKTEyM6TgiIiIiap4QAoqiBGREdUBkUVERamtrYTAY4PF4tHzZo0cP9OjRI+r3crlcKCgogMvlQmJiItLS0pCSkhLx8Yqi4PDhw6itrY36vc1mMzvF2wE7xomIiLqx2tpaHDlyBFlZWZBlGTabDU6nE06nE0KIgH19Pp8WOvPz8zFgwICoZo5XV1ejsLBQ+7mmpgYejwcWiwUJCQlITExssjHTZrPh4MGDUc/oUbHUJREREVHrUBQFJSUlqK6uRt++feF0OmGz2SCECFhX0ev1AoA2yNHhcKCgoAC5ubkRd2oLIQIaHx0OB1wuF1wuF0wmE5KTk2E2m8MOiBRCoLS0FGVlZTHdq06ng9FojOlYIiIiImqay+XC4cOHodfrkZGRAZvNppUm9y9RruZJk8kEu92O0tJS6HS6qNbqVicFqRm1vr4eHo8HdXV1sFqtSEpKarLj2uv1oqCgIKrS6f7MZnNMx1HLsGOciIioGxJC4MiRI6iurgbQ0EmtliY3GAwwGo3w+XwwmUxwuVwwGo1wOBxax7iiKDhw4AAGDhzYbIgTQsBms4WckWO322G32+FwOHDkyBFYLBaYTCYYjUatfLvX64XH49EaV2PFsElEREQUf/6zbACguLgYTqcTQENDpcFggMFggNfrhU6ng6Io8Hg8Ws602Ww4dOgQ+vbt22znuNfrRWVlZdCMHEVRtJlDaoNmQkICjEYjDAaD9p5er1cr4x6rpjrdiYiIiCh26qQadVKM/wBLs9kMWZZhMplgs9lgtVrhcDjgdru1fYqLi6HT6SJa8kbtTFc7xVXqgEun04mysjLo9XpYLBYYjUatfLv6y263Bx0fDbZVtg92jBMREXVTNTU1ABpmUvuXJjcYDHC5XHhhezne+aUWqWYdVs8dCpPJFDBr3Gw2Y//+/ejbty+SkpK044UQ8Pl88Hg8Wod2RUVFk9dit9uh1+uhKAoqKythNpujXkO8KXq9PqCsZ0vWDSIiIiKi36iNhwBgtVqDZvLo9Xpc9fpeJJl0+NPJGRjQI1nLZUajER6PB263G/v370dubm7ArBwhhJYpPR4PKisrm5yRo+5nMpngcDhQX18Pg8HQoo7wxho3YIZaloiIiIiIoldXVwdFUSDLMmRZ1jKc2WyG0+mE0WjEr4XVeHlHNU7pn4Qpg5KgKAoMBgOEENDpdCgqKoLL5ULPnj2Dlo1Uc6fH40FxcXGTVSnV9zYYDKitrYUsy9o54sW/uqXantp4WSKKPz5hIiKibkiSJG2Uo9pg6T/C0efz4fN8G3wCqHAosNvtWjDT6/XQ6XRao+TBgweRnp6uBUt1Rnm01PNLkhRzufRwLBYLfD4fSktLYbPZ4HK5oNfr0aNHD6Snp7Mhk4iIiChG/gMNPR5PQOe40WjEF3srUVDT0IC4v1agZ5IDFosFDocDVqtVm8UNAPv27UNKSgocDoeWK6MlSRJ0Oh2EEHC73TCZTHG4y9+YzWZthpHT6YTX64XZbEavXr2QkJAQ1/ciIiIi6k7UXKkoCrxerzY5R50V7na7seWQHV8V2LGv0o2Te5uQnNgwc1yWZXi9XgghUFFRAafTCVmW4Xa74Xa74fP5or4e/7ZQl8sV8dI/kTKZTKioqEB1dbW2rGVqaiqys7O59ngriu/vIhEREXUKhYWFMBgMMJvNWmOk1WqFTqfTgmKtq+G/EhqCmlr+MlQQrKyshKIocLlcUXVqm0wmWK1WLWDa7XYoihL3mdxGoxF79+5FZWWl1vDq8/lQVFSE4uLigH3V+yAiIiKipqnL86hL8Xg8HjidTuh0OpjNZrjdbjy7vRIAkG7RY3xvI6xWK5xOp1Ze3T87qqXS1epDkZIkCRaLBRaLBUIIOBwObZZPPGf16HQ6OBwO7N+/H/X19drAUqfTiQMHDgTNZlcHoRIRERFR0+rq6rRZ4eoEHrV9UK3YI0kSzhuWhAyrHsX1XnxywK61YxqNxoBcabPZ4HQ64XK5ouoUl2UZVqtVawu12+1wu91B528pi8WCgoICFBUVweFwaMtHVldXY//+/QHLSQohom5zpfDYMU5ERNQNud3ugNAFNJQzN5lMWuj0/C8zGvQSXC6XNvISaAibjdntdlit1mbfO1RneCyjNpuj0+lgtVphNptRWVkZds2fqqoq+Hw+OBwO7NmzBzt37sTevXsZNomIiIiaoSiKVjVInVGjLlmjKAr+W+RCqa0h591wcjaAhswoSRIMBoPWyOhPbfjzLy0Zik6ng8Vigdls1jrDQy3FE49MZzAYtEGkVVVVYfcrLy/X/rtr1y7s2rULRUVFLX5/IiIioq7O4/FondBqe6XT6dSyniRJkGUZZlmHy0Y3rCH+yveVqLU37BNqMKJaMbK58uRqZ7jRaNQ6wxtPmolXtUmz2axVTwq3RJDH40FNTQ0URcHBgwfxyy+/YM+ePairq4vLNXR37BgnIiLqhtROYv+OcaChNJAaytRXUkw67RhFUZCQkACfzxe0vqLZbIaiKDCbzSHDoiRJMJlMEXWGN76uaKgd4kBDw2tza0oqioLy8nIcOnRIC73q7KeWXAcRERFRVxdu4KHq6c0lABpmi08emKRtVxRFK6Wu1+sDqgVJkgSr1Qq32x120KXRaAyaGR5OqAGdkTIajTCbzVpGbu5+a2trUVlZieLiYm3f2tpa1NTUxHwNRERERN1BuJylVuxRB17qdDpM6W9Bz0QZ1U4F7+6qg06n0zKkP1mWtfXHw2VCdWkftVM+nJZWl7RYLDAYDJAkKeRgzsbKy8tRXFysrbsOAMXFxU1eI0WGHeNERETdkNFohNFo1Boc1Rk5ocLV0B6WgMZKIQSEEHA6ndqMbJPJBKfTqf1Syx75UzvFI9Fco2Moer0eVqsViqJoJdkjHc1ZVlYWdO81NTVa+XV1UAA7yomIiIgCqZ3baq40mUwQQuCbQoc2W/z6sT20tbjVfCaEgE6n0zq21apCkiRpgyhDVSSSZRk+ny/iXBbL7B6TyaSVgm+u472xwsLCoG2HDh3CwYMHYbPZ4PP5mCuJiIiIGvGf6KJW6zEYDLDb7dqMb5/PB4PBgOREK648PgMAsObnGpTV2CDLMux2O8xmM4xGIywWi9bhrS7T03iSj9VqDTtrO5RYBlyq9+FwOODxeCLOpk6nE5WVlQHbPB4P9u7di+LiYq1EvNpOS5Frun4AERERdTlCCHi9Xrjdbi0kqmRZhl6vx0/Fv41cPGdIMkwmEwBogVINguHCo1r+Uh0B6f//kfB4PNDpdBGVvpRlGUajEXa7Peh61DWJYuVyuVBYWBjUwJmamoqcnJygtdaJiIiIuhO1ExuAtna42vn91JfFAIA0ix6nD06GJEnweDzaQEaPx6OVyvT5fGGrCdntdi1L6vV6SJIUVb6LZskek8kESZKCOsPjUY69rq4uqPylTqdDTk4OUlNTW3x+IiIios7ObrfDYDAE/L+67KO65rc6O3zigASs/smE/ZUurP6pGjeekgAAYQc1qsv16PV6rRJmNJ3iQEMbZCQztiVJgsVigdvtjvo9mqNWvlSX8FGZTCb069dPa8Ol8NiaS0RE1I243W4cOHBAC2UOhwNutxs6nQ4GgwFOpxMOhwNv/VimHTOqh0Fb90YIEdE64uq5zWYzrFZrVJ3iquZGYarr/6id9aE0nrUeL9XV1cjPz9caZVnGiIiIiLqb2tpa7Nu3T/tZzYoAsKPUg5L6hpx0w/9mizscDhgMBthsNjgcDq0ceiTZ0u12ayXXQ60f2ZRI9lcrILlcrpCNqfHoGA9FURQcPnwYJSUl2mwf5koiIiLqThRFQXFxMYqLGwZVejweOBwOyLKsTeCx2+2w2WzQ6/VaG6XJaMTlo5IBAO/tqsOh8tpm2xKFEDCZTFrly3hTy7nrdLqIluGJJ5fLhf3798NmswFAkwNPuzvOGCciIuoGnE4nKioqtI7vUK8Dv60Tvqvst5LnOp0OJpMJDocDiqJoozMjmQWuBsFYhJuNra4P5HA4mg2YsZTOjJTdbsf+/fthNBpRX1+PoUOHaqNaiYiIiLoiIQTq6upQUVGhzfRu/LrdbseT6mxxsx7j+xi1dR2dTickSdI6gSVJgs/n07aFo87qiaUBU1EUGAyGkB3kZrNZWyKoKa3dqFhWVqYNWJVlGQMHDmzV9yMiIiJqbz6fD1VVVaiqqgo5CNHr9cLr9UKWZa0NUq0kpLYHntTbgqOzTPilzIXVO+tx22nJzQ4ydLvdMWe7ptoh1epJ8Z4hHg2fz4f8/HwkJyejrq4OPXr0QGZmZrtdT0fFjnEiIqIuqLa2FqWlpSFnniQkJEBRlCY7yI2yDoAPEhoaDNV91XW73W63VibTYrGEDH3qOkCxCtc4qpZNj4RaXqm11tpxu93asy0qKkJqaiosFgs7yImIiKjLKCoqgs1m0zrC/RsEExIS4PV64XL9Nqhy+2G7trb41SekaTOxhRABudE/o1osFvh8voA1x/1Fu/5jY7Ish+wYVxQlohna6rXHUgUpUvX19QAa8mVpaSkSEhJgsVi4dA8RERF1CYqiYP/+/VobnbqkDtDQ1me1WuF2u4M6n9UOcnWgo8PhgMViAdAwIebK41Lx5w0l+OjXGswYmoDeKSat7Hqo/NeSZRfdbnfIdsZo2kD976U1CCFQU1MDAKisrNTWbleXDCJ2jBMREXU5FRUVKC0tDTv6Ue0UlyQJBoMhZGPg8osHwul0wmq1wuPxaIFPCAFZluH1euF0OrXGzcaNlZIkhW2AbI46Izwe7Ha7VsbI6XS2WhlMoGEwQm1tLYCGQJyQkIDMzExtFr46ypWNm0RERNQZ+Hw+FBUVoaamJuwgQ0VR4HK5YDQatUz57PZKAECqWYdJAxKg1+uh0+kgy4FNUP4Ni4qiQJZl2O32gHMBDQ2lsTYcqmtSxmPGt1oKvqWDPyNRWlqq/b/FYkFiYiIyMzOh0+mgKAp8Ph8MBgMbN4mIiKhTsNlsKC4uDlulx3/iSbgBkR6PB5IkwWg0arkMAEb0MGNM3wR8fciGlTuqseCMXLhcrpDtb7Eu96jT6WA0GrVBnC2ZgKPep1q5yH+Aaby53W4UFhYCgNZBnpqaipSUFAANnfRqG2530r3uloiIqBswGo1aQ1moEZBqw6IQQluD22QyaYFR7fz2n9GjlimSJEkLsRaLBZIkhVzHWy293hy9Xg+DwaA18qkjQ5sauRlt+FRLerZ0plE0PB4PqqurUVNTA51OpzXG6vV6pKamIi0tDWazuU2uhYiIiCgWer2+yepAwG/L1qid3NsP27TZ4teP7aHlRTUbut1ubcCi2WzWBjHq9Xot4/l3YquViiJhMBggy7KWgd1ud7MNjaFybFM8Hg88Hk9Q531rcjgccDgcqKys1AYRAA15Oz09HampqVHfBxEREVFbslqtUBSlyaVx1CpDataRZRlGoxGKokCn00EIEVCpyL+iz5XHpePrQzZ8lm/HvkoXBqQagtoPm8q0/tTOdzWfejwebYJQOGrlo2gm5DidzjatOKkoCurr61FfX4/i4uKAttekpCSkpaUhKSmpWwy8ZMc4ERFRF2O32+F0OrXSlo3LPnq9Xq2TWA176qhLtSFSndmshjr1eKvVCp/PByFEwDn9g5/FYgnbUGi1WgNKJvl8vqhn8Kglk6Id4dmaIzDDabz2ps/nQ0VFBSoqKrQyRrIsIzs7u82vjYiIiKgp6uBCl8uFhIQEreKQf7ax2+1aA6fRaMRz248AaFhb/NS+DZ3hVqs1oIHNbrcHzOBp3EipzgLS6XRa53koaglNdXCl2mkdDbfbHdOMclmW26xjXNX4Gl0uF4qKilBcXIzk5GQIIZCeno7ExMQ2vS4iIiKi5rhcLrhcLuj1eq2kd+OOZrUD3Ov1QqfTQa/Xa/nTf2CgOkBRnVhjNBoxJEvCablWfH7Qjue3FGHB5B6QJElr1zSZTGEn2qhLRQLQyq9H24aoKEpMbZUej6fJwQKtpfGEpLq6OtTV1UGWZSQlJcHtdmPAgAFtek1tibU8iYiIuhi1nLfaeKZ2JPvPJFFnUKtrhqslGVXqLBs1PJrNZm0WuhpU/Wc8q2XXVY0b7vR6vbY2uDrrpSUlLV0uV9Rlfnw+n9aA2hHY7XZUVVW1eaMqERERUSTUBkwAATOV/TOfup/RaMQ3R2worm/omJ53fGrAPuqATDWTyrKsnU9RlICcqs4m9x+c6U9dd1vNlOr65bFQS5JHS22k7QjUdSRra2tbddkgIiIiolipa177fD54PB44nU6tvVHl8XhgMBi0CTnqf/3zjVpNSJZlbfClLMvw+Xz43ehU6CRg+xEHfi51apUy1WV9QnU+q5WM1FzZknW/1QGh0eoomRJoaA+uqqqCzWZr70tpVewYJyIi6kKcTqfWgOnz+bSA6XA4oChKQEBTZ+s0HgWprsmtNlCqjY0ejwdut1vrXG7cGa6eT1273J86kydeGjegRsrtdrOEOREREVEE1AZMoKHz1b+h0mAwwGQyaa/5fD489WUJgIa1xScPbJi1rJY2V/fzer0QQmil19XGSEVRYDQatf2cTif0en3ADB6V/6yheGicaSMhhNBKbBIRERFR09RJPMBvM7RdLpc2cFKtJuRyubTXG89qNpvNWvZSX1MrHBmNRgzqkYQzBjVk0Be/q9baMhVFgdfrDTkYMt6DCv3XPo/mmFg61Cl27BgnIiLqQvwbMNURmCq1FKVadkiSJAghAn5WR1uq+wENjY+l9R78Y3M5imocWuBU151UqbPI1XUirVZrQANnvBsO1bAcjVhKtxMRERF1R/4NmA6HQ6vWow52dLlcsFqtMBgM2FZQj+L6hgbKq49PgyzLsFgs8Hq9sNlsAaXT1dndDkdDrpRlOaADHWgop67mSIvFEjBoszWyXLRlL4GG+1fzMhERERGF5j+JB/htKR4AAUs1WiwWyLIMr9cLs9msdRabzWYYjUY4nc6gznL/cwohcNnoVBj1EnaWufBNoVM7Xq/Xa0tL+leT9M+o8SCEiLrCJQCtrZXaBtcYJyIi6kL8GzBVkiTBbDZr5YDUMNp47RudThewhqPaaGmxWPDwF4fwZb4NBTVuzBmVBkn2ot7uAvR2ON0++CDB7RNwemrg9PjgExIcbi8Gpxtx4bEN62d7vd64N2TGEmA7UokiAJxpRERERB1O4wZM4LdsaDKZtAypZsdnv64A0DBbfOpRKdqajwC0xkFFUSDLMgwGQ0DmVNeS9Hg8sFgsWlZTl85RZ/oADeUuYy2b3hQhhLYGZWcW78ZdIiIiopYK1VYJICB7qUvoqOttq22YsiwHTPpR29D0ej0URQlYn1tRFGRY9LhgeBre+KESK3+owYTB6QB+qxCkZlCDwaAtGRlvsebJ1si4serqbZXsGCciIuoiPB4PdDqdNqLSbrfDYDDA4/FoJYjUkZf+YVClBjeTyaStPW61WlFbb8f+8oZ991R4sCivNOJrsvWz4uz/vU9rlDCPJTR6vV5ttnxHwNLuRERE1NHY7XYtU6ozedROV7XDW23M3FHqRYmtYfDj1cenBQyEtFqtWsOm2WzG8q+LUFLvQUm9D3+b1lM7v8lkgtfrhcPhCBi86fP5YDQatVnq6lrl8RZrp3hHyZMq/xlQRERERB2B2ikthIDL5YKiKFplSbfbDb1eD5/PF9QJDvyWO/V6PQwGg7b8jqIocDqdQbO/DQYDfnd8Ft7/pQr7KlzI21uDk3s3zMRW863dbofH44HH42mVEuaxDlTU6/UtWuM8nrp6WyU7xomIiLoIt9utNSLq9XoYjUYIIWA2m7V1HIUQkCQJHo9HKyWkNgKqgVLtMFdLpQufB4X1vzUUDs4wwqSXYNBJMBv10EPAoJNgNcmQhAKjXoLJoIMsCRzVIxEWi0V733jS6/Uxlb1U11pvPDCgvbABk4iIiDoal8ulZSWr1aotyWO1WrUS4k6nEzqdDk9vblhbPM2ixznDs7RBiEBDA6SaNzcdsGHljt+W/dlW6MZpA5LgcrkCGgHVsu3+M859Ph9MJhM8Hg9kWY4pAzZFvb9oNb7W9mQwGLr87B4iIiLqfOx2u5aV1I5op9OprcVtMpm0Uugmkwk6nQ46nU5bP9xqtcLpdGrtll6vN2BpHpPJBCEEFEWBx+NBokXGrGOSsXJHDZZ/U46TevWCrGvIpl6vV6tQ5Ha7W6XaTqwDJzvSgMuu3lbJjnEiIqIuQp1JAzQ0jKnrPtpsNm27GjbVkZHq7BidTge9Xh/QIKiO0jSZTBidbcSOkobzH6h0453f5QaUK1L38y+5KUkSDAaD1mAY77Vy1HuJhf+zam9cm5KIiIg6Gv+sJISAz+cLGEDp8/lgNpvx5b4qbW3x68f2gMPhgMFgCDjeaDRiX2ktnvyqGAAgARAA/pZXhBOz9dDr9UFL/BiNRq0BVc2q6nrk6nvEc0ZNSzq2/a+1PXX1BkwiIiLqfBRFCchJTqcTRqMRkiRpbYgulwuSJMHn82mVh9Q2RqPRGLLipTrhxf88ALRleGYMS8b7v9ahsM6DT/fbcebgBAC/TQJSq2w2XjqopQwGQ9Cs90i5XK6gttb20tVzJRcfIiIi6iKSkpKQmZkJSZK0EKU2HAJAQkJCQJiUZVkrjdM4qAJAYmIirFYrFEXB4mm9kGFpmIHiE8DcNw8HzQD3Lz/ZeF1z/9Gc8dKSzm2v19shOqTNZjPXgiQiIqIOp0ePHkhKSgIAbZ1Hj8ejNSaqjX7q2uJpFj0mD0wEgKAOa7vTjce/qoTDIzCihwk3jEkD0JApF24qh8ViibhR0r+cZryYTKYW5cp4N6jGqquXvCQiIqLOR5Ik9O7dW5ssI4TQqg7pdDqtyqR/m6FaoQgIbvtTl5BUXxdCwGq1Qq/Xa+XWvV4vLAYdLhmRAgBY9UMVnF5FO149p5pv40ltg41VR2kj7Oq5smM8ZSIiom6qtrYWJSUlqK+vD1iPMRayLKNnz54YOHAgAASUEQo1YtFgMISdcW0ymVBfXx/w+osX9oH8v77wKqcPt76br73WuINXLZ1uMpm08pvxLKVuNptbPDOnI4TN5oKm0+lETU1NTGteEhERUfehKApKS0tRXl4Oh8PR4gGJFosFubm5yMrK0s7l9Xq1meMejwffFjq0tcX/MLZH2M7ll76vxu5yJ5KMOtxxSibOGZKM7ISGju3vipz46XC1lokkSQpo7ASgNZ5aLBZYrVZt4Ga8tDQTtjTDx0tzM3tqamo6zFJCRERE1HG53W4UFRWhurq6xRUXJUlCWloaBg8erJU8Bxo6pdW1xhtPtGlqyRyn0wm73R6Qv9SffT6fVlodAM49Jh3ZiTIq7D68/2uddm9q3rRYLEhISGjR/YW6vpboCO1/Op2uyaqfQgiUl5d3mPXQY8FS6kRERO1ACIGSkhKUl5cDAMrKygBAa/BLSEiA1WqFLEf/T7XFYkGPHj1QWlqqNRy63W4tXBmNxmbX5w43C2fV7BzMfr0QAPBjiRMvfVeF60/pra0fqXaQ+3y+gIY3dSRoPOj1+riUq4z3muexaK4Bs6ioCDabDbIsIy0tDWlpaXEvSU9ERESdm9vtxqFDhwKynTqbJiEhAQkJCTFXqenRowfq6uq0dcUVRdEy3jNfVwIA0sx6nNondD7ZftiO1T827Hfr+AxkJjRk27+f1Qu/W3MYAHDPJyV44xITZFnWzm8wGLTGU4/HE9BRbrVa49YQ17iEe6ziXdo9Fk0NuPR4PDh8+DCEEDCbzUhPT0dqamqHGChKREREHUddXR0OHz4c0PFsMBi0dsqEhAStFHo0dDod+vbti3379mmZxePxaB3JOp1OKyMernM40rzlcrmQkJAAm82GOaNS8Y/N5VizsxYXjMiEzufTJhEBv615Hg9qefeW6Agd481NbqqqqkJxcTGKi4uRnJyM9PR0JCQkdIh21kixY5yIiKiNeTweHDp0KGRYcjgccDgcqKhoKEtpMpm08Kl2OPv/UhQFRqMRJpMJRqNR6/TOyspCfX29NrPHaDRCp9NBCNGixr+0xEQ8dXY2bvmoBADwxs+1OK5vEo7v1TBzSJblkPdlNpvjMkNFlmXIshyX9XbiXdo9Fk2VWKqvr9fWh/d6vSgrK0NZWRkyMzORnZ3dqQInERERtY5QjZdAQ6NafX096uvrAfw2E1udHaOuG65mRZ/Pp80OUbOlwWDQGjHz8/PhdDphMBhgsVjwzREbSv63tvi841NDXlu53Yt/bGnItOcNTcLYPr81PKYlGDDzmBS8vbMGdo/AC99W45ZTc7QBnWrFo1C5NV5L9MSrUxxoGLjZ3h3jTQ2oLSsr056Z0+lEYWEhiouL0a9fPyQmJrbVJRIREVEH1XgCjz+Px4Pq6mpUV1cDaMgcaie5wWDQ2ifVXKkoCmRZDsiV6nKO2dnZqK2thcPh0F7X6XSw2WzNthuGG9CnlU//3+QTtXPZZDJhUn+BNTsNKKj24NXvSjH32LSA4+JVTScxMVHL3S3R3nkSaLqtUq1SpaqtrUVtba1WbSqWCV7toXNcJRERURfhcrmwf//+iEsuulwuuFwuVFZWRvweauexEAJerxeKosDn80GSpIBGxHAjLSVJajKIDc60YP6YdG2W0D3rjmDFrBxkWg1hZ5rHoyPbbDbD7XbHbWZLRxiFGe55qV9IQikvL4ckScjOzm7NSyMiIqIOrrKyEoWFhRHtK4SAzWbTBt1FKjExEV6vVxuQp67F+OQXxQCAFLMOkwcmwmg0BpTa9CkCT3xVjlqXgkFpRsw7Pi3gvJIkYf74nvh4bx3q3Qre2VmD2UcnIcWi114PVSEoXp3Z6owedWZSS7X3zGtZlsMOmgz3XUJRFBQUFCA3NzfuZUSJiIio8xBC4ODBgxF37Hq9Xq1DNFI6nQ6JiYlwuVzw+XwQQmgVgcxms9ZeqVacDJUDw7WhGQwGrUPW4XAELCep10mYd0IWFn5aiLW/1OHcoclI+1/elGW5xR3Rer0esizD4XAEtbvGQggBnU7Xrm2W4Z4z0PD9I9TvjcPhwMGDB9G/f/8mj+8oWDOJiIiojSiKgkOHDrX6OoRqZ7jL5QoIUv5BUZZl+Hw+rUylP3XdyFDU0kZnD0nCxP6/zS6Z91YhPB4P7HY7ZFkOOGc81oG0Wq1aOSW1bHtLdYT1IP3vw+l0oqqqChUVFdi3b1+Tjb5lZWVRfQEhIiKirsXhcKCoqKjV38flcsHpdAZ0en9b6EBRXUNWnHd8GqxWK9xuNywWi5ZtVv9cgx9LXDDLEu6akAmDPrDT1ufzwe1244npfbRtf1pXDKvVqpVQd7vdQUvIxKORMF6VjDqSxtm4trYW1dXVKC4uxv79+8MepygKDh482CEGjBIREVH7KCsri8ts56aoM8pdLldQx6oQQhvgZzQa4fP5gkqcG43GsPlNLY3u9XohyzJ0Op22VKVer8cJPWUMzTTB5RN4/acaANA6s1tCnVmtdvY3t1xipNp71rX/+yuKgoqKClRXV6OgoADFxcVhj3M4HBEP2m1v7BgnIiJqI6WlpXGZkRKJUCHK7XZrM34URdGCo8vlgsVi0cpnhguaOp0uYCbK/dP6ICep4X0UAA6poeHSP+DGY30dSZKCnlvjzvxYxGOd8pby/32qrKzEkSNHUFRUFPbPidlsRlJSEtLS0to9KBMREVH7UBRFWy+6tYUaLKlWDUox63DGUSla1nM4HFAUBXtrgFU/NDQ63jgmHb2Tg8sxWiwWmM1mDEgz4aTeDY2IpTYvVn9XDJfLpTWGqgMZ1cGZ/muNx6LxDHGn0xmXXNneS/T4d4wLIVBYWIjDhw+jvLw85GBQtbR+cnIyUlNT2/BKiYiIqCOx2+0BpbFbU7iBeC6XC0II6PV6OJ1OCCFgt9u1MuxA01lLr9dr1YvU5RcdDgfsdjsURYHJZMKVx6YCANbtqUOlOz7douqkI5X/QNKWaO8Z1/7vrw7GPXz4cNgJOrIsIyEhASkpKXFds701sUWViIiojXSUmSlCiKBA6XA4YLFYIElS2CCnrr2jztxRFAXPz+iNu9cXYcHpmchMtmj3qNPpkJCQEHW5zlAsFkvQs3M4HHEpLRSunHxb8Q+b4Ubnms1mpKamIjk5OWjWFBEREXU/amWgtuKfl74tdPitLZ4W1Ola6/Ri8adFUAQwZVAiTh8YvH610WjE4Yp6/FruxNRhWbjvtAxc+PpheBXgX9urMG1wAsz/y3iKosBqtcLr9bbaANNwJcij0d6ViPwHTDqdzpADQCVJQmJiIlJTU5GUlNTu5d+JiIio/cVjiZpINdeG1zhPqe2TJpMpbPa1Wq1a26PRaITD4YBerw8YXOl2uzGqpxnH51jxbaEdL35Tij+Nz2zRvej1+qBnp65z3tJnGo9s2hL+ubKuri7sPuoAS7U9uTNhxzgREVEbacuyjbHOWgl1nNVq1dY6V8OoWh7IZDLh/y4YqK2jYzaboSgKHA5HXEYJGo3GkI2gQoiQHebNnUud9a4GtniN5oyFXq8PuA7/azGZTEhJSUFKSkpcZjERERFR1yHLckCDX2vzH0S41G+2+JRGnd5CCDy1tQJldh9ykmT84cTAdcUNBgMMBgM27CzDo1+WQwAwyzqcOjgDf5mcg0WfFkIB8JdPyrF0VrLWsBivQYzhKhk5nc6oBktKkgSj0ahlyo6SK1WNB1smJiYiJSUFycnJ7T4DiYiIiDqWtmxziiWHmM3mkJ2u6rrkarZTy5qrbZEOh0ObXKLmtrmjk/FtoR0b99sw85hk9E+NbfKJJEkwGAwhs3i01SnVNcrVAYtqlc/2FC5X6vV6JCcnIyUlBQkJCZ2uM9wfO8aJiIjaSLzWmmmOwWCIaUaNOopSpXaI+zcgqkFNLW2krgHpPxrSZDLBZDK1eBCA0WiEx+MJ28nvdDq1DvmmziHLclDHc0cQKmharVb06tUrbPAnIiIiAhpyZWuvBQkEdiZ/W+hAsd9s8cY+2F2PrYccMOgkLJjWF1ZDQ6OewWDQ1nH0eDwwyhLU9LZgYyn+pgdO6mXBgDQjDlS58UuZE1/uLsNxva2wWq1wOp0tbiBsbnkfWZab7RhXs7zT6WzTGfuR8J/Zo/65yMzMRGZmJpffISIiorDU9qe2WBYmljyn1+sDrs1isUBRlIB2T3UwpZr3JEkKmkwjSRJG903D+H612Fxgx8rvq3HfpB5RX486QDJcu6vH4wlauqcxdYkgn8+nrU/ekajtlWrFJp1Ohz59+iAxMbHLVBzqGndBRETUCaSmprb6SEw1MMYSaG02G3Q6HaxWK/R6Pex2e0A4S0hIANDQ2aye3+VyBYU9dXZ5S0iS1GSnONAQqJsbbKDT6WC32zvEeuKN6fV6uN1u1NfXo7q6GjqdDn379u2UJYiIiIiobWVnZ7f6ezRuUGxqtvj+Sjf+/d+G168b2wMDUmUYDAZYLBZ4PJ6AQZRj+lgxvEdDhhMA7vukFLvLXVgyrQfUBPTg5+UAoK0NGc/7CMXhcDTZgazT6eBwOOBwONp9PfFQdDodnE4namtrYbfbkZSUhOzsbHaKExERUZNkWUZmZsvKikdCnXwTLbVd0mw2a6XS/c+jzgY3mUxa3vSfSa5St80dnQqdBGw97MCusuivx2w2N3sfzWVXtaJoRxtoqZIkCXa7HeXlDXm8V69eSE5O7jKd4gA7xomIiNqMJEnIyclptfNbrVYIIWLqBFZLDrnd7qAOcQBaR7nD4WiTmdeRdu43FyI7YsOlyuFwYPfu3cjPz4fdbkdOTo72+0BERETUFIvFgvT09FY7v9lsDujMbmq2uNOrYMmXZfAqwEm9LZg1Ig1utzuoQ1xltVpx2cgk7WefAO7aUIwSmw9zR6cCANw+gSVflLbCnYWnltvsjEpKSrB3714UFBRo3zk40JKIiIgikZWV1WrtUUajEQaDIeaqkj6fDw6HA06nM2R7pDohxuVyRdQG2DfFgCkDGyb+vPh9Vau0G7rd7k69LOLevXuxf/9+lJeXIykpCampqe19SXHHjnEiIqI2lJCQoM28jjchRMwzatTZJOECoVoyvS1FsvaQz+drci3zztQg2Fal9omIiKhr6NEj+vKPkWpcEUibLW4Kni3+3PZKHK71IsOqx60nZzR7brfbjdE9zRic3tARLQHwKsCfPirChP5WpJobmqo+P+hAYW3LB2RGmo/tdnvY/NmRB1s2pjZAExEREUVCp9MhKyurVc6t1+ubXa6mKV6vN2wOa65keTiXjUqFrAN+LHHhu6Lojo9HO2NnypVWq7VTta1Gih3jREREbayl5SDDaUmw0ul0YUvitGRkZ0tEWqKnJQE7nLZuUExMTOzUo0mJiIio7bVWpmzMf7b47xvNFs87UI9P9tmgk4A7TslEilnfZIazWq3wer2QJAkXDU8GAJjlhs5xjwLc9H4R/jLht3Ked64vafH1R/OcwuWxluRss9ncpqUnMzKaH5xARERE5K+tcmU0DAZDkxV9Ys1nPRJkTB/SUL3ope+robRCR7XL5Yp7NSJ1bfK2IklSl5wtDrBjnIiIqE0JITrcGjKSJMHhcGhr8jTWXmsTRjJjHGjoGA832zrWUY2yLMPj8UCv18NqtcJisWjrGRkMhoivLVKN1wn1er0oKSnRRr4qitIhv6QQERFR+2mtTNm4E9d/tvjUQb/NFi+s82DptobXLhmRgpHZZpjNZthstpCdwZIkBczqObmvFb0SZTi8wNRBCZAAuHwC9+eV4dR+DdmuxqXgtR+qW3Q/jZcIaorD4Yh7J7bX64WiKDAajVquNJlMMJlMMBgMcX0/k8kU1IDpcDhQVFSk/ezz+TrVTCUiIiJqfa2VK1sy21iWZbhcrpCVIi0WS4uuefaIFFhkCXsr3dhc0DqTgeLddmgwGOB0OiFJEsxmM6xWK8xmM0wmE4xGI2RZjuvs7szMzIBJQ0IIVFdXo6qqStsWy3KeHQE7xomIiNqQ2jDWGmJd+9tisUBRFPh8vqDAaTQaQ64N2RaiCXNNNXjG2tioNlh6vd6A9Yw8Hk+zJdyjkZKSonXsu91uFBYW4tdff0VFRYVWwv7IkSP49ddfO23gJCIiovhrrQZM/9kt3xeFni3u8Qks+aIcDq/AiB4mXDoyBcBvs438G+1UauZU6XUSZh7TMGv8+2In/jS+YaazwyvwfbELJn1DFnzlhxo43JF3bjcWTfYWQoSdiRPrsjdGoxEWi0Vr3HU4HHC5XHC5XPB4PFAUJW6Vg7KzsyFJEoQQqK+vx4EDB7Bv3z4tQ3o8HuzduxeHDh2Ky/sRERFR19DRJvHIsqy1R9rtdpjN5oCO5pa2j6WY9bjg6IYcunJHNXxKZIMGoxlc6HA4Qlaj9Hq9MWc/dZClen6n0wmXywW32w2v1xu3znidTofMzIYqToqioKKiArt378bhw4e196itrcWuXbtQXV0dl/dsS+0zBYyIiKibikfQlGUZBoMBiqJo5zOZTDGfu/FxauD0eDxtWvaxsWg6xt1ud8i1hdQQbTQaoxo4IElSwHPR6/UwmUzaM4/nLBun04mCggL4fD7YbLaAa3A4HLDZbKipqUFmZma7zd4nIiKijifWQZH+1IY1l8uldSD7579ntoWeLf7i91XYW+lGklGHO07JhF4nBeVRn8+nDSZUO4QbmzIwAat+qEaZzQdJAuaPTccz2ypR71ZgNQDwAQLAbeuK8ez5vWO+T71eH/HMcbVTv3HeUxs3o13GR5KkgGWJ1Bk9Xq83Lr+H/iorK1FVVQWPxxOQiz0eDzweDwoKCuDxeNCvX7+4vi8RERF1bi1tr5QkScuV/rkn1qxjNBoDOr+dTif0ej3MZrPWXtZSM49Oxge763C41otP99fjjMFJzR4T7WQntSKlP/Vnq9Ua1dKVkiRBUZSAjGexWLQ2TJ/PF9fJWEeOHIEQAna7PSBHq5n40KFDMJlMSE5Ojtt7thXOGCciIuokJEnS1mV0OBzweDxaR2msIwKtVmvIRkKn0wkhRFBHc1tS185RQ29zmuqsbmmHss/ng91u156LxWKJ26ABl8uF2tragE5xoCFsHzhwACUlJTCZTOjRo0dc3o+IiIi6hpYM1DMYDDCbzXA4HHA4HAGzxNXGuu+LHCgKMVt8+2E71v5SBwC49eQMZCY0nbPsdjuEECGv1yTrcN7Qhsa0NT/X4qzBibjmf+9l9wDy/yLgoVovPsuvj+ledTodTCaTVnKyOYqihJ0dHsvA0cb37Xa7Ybfb4Xa7tWV74pUr6+vrUVdXF5Th7XY7du/eDYfDgczMzJhnvxMRERE1ZrFYoNfrYbfbYbfbtZzRuHM7Uuq5GvP5fNoM6XiwGnWYPaKh6tGqH2rg9jWfrXU6HSwWC4xGY0Szvh0OR9g2yWiW+wl3jMPh0DqujUZj3NYgVxQFtbW1qKurC3rPsrIy7N+/H0II9O7du10nVcWK046IiIjaUKwdtBaLBR6PJyAYKoqizR6PZoShv6ZGbrbnmtZWqxX19b81foaaDd6Yy+UKO3NenVHeuIM9XId7cw3NDoejTRoU1evorEGTiIiIWk+o0ozNUWfz2O32gNkrTqdT6zRWc2Wo2eIVdi/+saUCAHDe0CSM7dtwTHPVi5rKldOHJGL1zzXIr/bg2yInLjgmGU6fgpU7auD1i2R//6oCp/a1RDUgVKfTQZblgKwcyeycpu4l1Lrgsa7nqA6+bKtcycGWREREFIosy1F31BoMBuj1+qDZ2w6Ho0UdtCaTqcmsFs/2ynOGJOGdX2pRZvfhg1/rtGV+wl2X/73qdLqIqgmFGyCgtlUCgVmyqbbKpu7d7XbHvRpROEIIZGZmxm2ZybbGjnHqFoQQMX9RJSKKp1gaMNXZPKG0JPC0pPx6azIajUEB2Ol0wmKxBJT5DCXcZ73X641qlKo6ewdoCPShOsrjWU69KRkZGZ02aBJ1NcyURNSRRDvgUl2KJ1xDo//2ULPFfYrAE1+Vo9alYFCaEfP8ZpG3ZD3DRJMeZw5OxDu76rDm5xqckGPBpSNT4fAIrNlZq+3nE8DCTeV4cEp2xOc2m81B92u325vtHFdLwIfaJ9r8bDKZggYdtBcOtiTqOJgriagjkWU5qoyj5qRwncItqUDZlm2VRr2Ey0al4P+2VmL1zzU4c3AirMbQWalxe6SiKNDpdM0u32i320Mu6xNLpU61dLrP5wv7nEItCRRvRqOxUw+2ZBqmbqG4uFj7kPZ4PO06C5KIujedThf1l9/W+rLcVh270QrXsOpwOLTy6uGeidPpDCgFGit19k64TvG2lJKS0q7vT0S/cbvdKCkp0UoCu1yudv+MIKLuK9qO8WjWHQw1W3z1zzX4ocQFsyzhrgmZMOjjl1EvODoZegn4ocSF3eUNjXy/Pz4N04ckBuz3XZETeysiayzV6XRhB5fa7XaYzeYmc2O0a4mH43K5tHLy4bRF55jBYOBgS6IOpKqqCnV1DctS+Hy+uH3mEBHFItqJPK35PbitBw1NGZiIPskyal0K3v6lNuQ+aiXPxrxeL9xuN6xWa5MDRSMpux4JtXR6U8+oLZ5fUlJSpx5s2XmvnKgZjdcw27NnD4qKirB792788ssvqKioaMerI6LuSpKkqBsxu1OniyzLYRswgYbAqa7zrc6+afw8QwXRWBoB1fXNw2mr3xfOIiBqf+rfd6PRiKqqKuzbtw+HDh3Cnj178Ouvv7ZoNDwRUayibcBsau1sf/6zxa86LhUA8FOpE6t+qAEA3DAmHb2To6+C1JSsBBkTByQAAN70myV+w5gMnD4gMMfd+0lJROc0m81N5jWn0wm3262tFWm1WgNyl8fjCXpe6r7RUNegjGUdSSLqetTPJbPZjIMHD+Lw4cPYt28ffv31V+Tn53er7/9E1HFE21apTl5pDW3dDqbXSbh8dCoAYO0vtahxBme25gaXqut8qwMRG7cnhnpeZrM56jxvtVq1iprhtMXz6+xtlSylTp1afX09XC4XbDYbvF4vMjMz4XQ6YbPZ4HA40Lt3b6SkpCAxMREVFRUBneFFRUUwmUxITPxtBLpa8iIesw2JiMKRZTmq0eBOpzOiNWui1RG/cIdbdycUNQRKkhRQtkhd/9s/pEXbEBnJmuZE1HUoioK6ujotR5pMJiQkJMBut2vl4YYMGQK9Xo+kpCRUVVVpnxFerxcFBQUYNGhQwMAcm80W1MlCRBRP0TZgAogoZ/nPFp82OAl1Lh+e+LIcigAmD0jAlIGJzZwhNhcek4yN+23YUmDHkVqP1vl+2ylZcHpLsflQw+BJu0fgua8rcP2YjCbPF2kZTkVRtIGZjZcaUmcA+e8b7ed64zXOiahrU6tEqLP60tPTIYTQcqXFYkG/fv1gsVig1+tRXV2tHVtfX4+ioiLk5ORo29RjExIS2uFuiKi7iCVXhlqyJh7a4zv0Kf2sGJxuxN5KN974qQbXnpiuvRbNUpQej0drv/VflkcIAYPBEPCcnU5n1IMLnE5ns530bINoHjvGqVOrqqpCTU2N9nNBQUHA6yUlJZBlOeyHxcGDB5GcnIzU1FQkJCSguLhYm4Xo8/ng9Xrh8/ng8/kghMBRRx3FDxYiajGj0djkrOhQIukYV2evRHru9uwY1+v1QesXxRqohRCQZTlgPZ/GzyDakkWRfNa3Vckg/rtD1PokScLhw4e1z0W73Y6qqqqAfUpKSpCcnBzy76Tb7caePXuQlpaG5ORkGAwGHDx4UGsI9c+UXq8XSUlJAQ2eRESxkGU56jUE3W53k417/rPFrz4xE0IIPLW1AmV2H3KSZNwwJj3kcfGQm2rESb0t2H7Egbd31uKmcb91fN87sQf++mkJvitqGJT0/u56zB6ZinSLHkajUfuMVTW3hng4LpcLsixrAwjU5XX8RVOJSJKkiLJ5Wyz31pnLXRJ1Ji6XC0eOHNF+LiwsDHjd4/Gguroaer0eBoMhaBB3ZWUlHA4H0tLSkJSUBLvdjuLiYqSmpga1VXq9XvTp0ydg0g8RUSximSjY1LraqmjbKtuLJEm44thU3L+xFB/srsOMo5PRI0GGXq+POac1/nx3u91BzyyaNj+LxdLsc5QkKeIJRy3R2XMlO8apU2uuAcDtduPAgQMBpc4kSdJ+VtfwOXjwIKxWq7YmhLrGDwBtBKeiKDhy5AhMJpM2i6ipdSOIiMJJTU0NGNQTieZK5FgsFq3Rzmq1wuPxQAihNRTq9XrtM07V3h3jLpdLWy9ckqQWjTJtbtCAy+UKmFUeTuNn2dy+rU2n08VtHSIiCs/j8cBgMDT5GVFZWYnKysqAL4Amk0nLg2qGrK+v1/YpLy/X9lU/XwwGA1wuFwoLC2EymWA2mzmznIhiIkkSUlJSAmYbRqKp77FLv/ZfWzwBH+6xYeshB2QdcP+0PkhLNEKv10c0WyUWFw5PxvYjDny6vx6/G52KNMtv1/rglGzc9N5h5Nc0NDJeu/Yw1lyWqw2QtFqtEEK0KFdGkhc9Hk9EAxIMBgMkSYqo0bgt1haOtgQ8EcXG4/FAp9M1+Rl5+PDhoCpl6qAbIQR8Ph+Ki4tRU1MDIQQ8Hg/Kysq0fQ0Gg/arqqpKq3hksVj4/ZGIYpKYmAi9Xh9VxUWv19tkxUV1MKaiKAEd7+r3ZTVPNT6+vb4bH9fLjNE9LdhR7MAbP9fjrkk5QW2p0Yik78hkMkWUWy0WS0SVLY1GY8Sz21uis+dKdoxTp6UoitbwaLFYtODodruDvqCqnS5CCOj1+oCSFsBvpUL0ej10Oh2MRqP2Ae3/weT/4dO/f3+OyCSimMQS8Hw+X8DIQLXhz+v1wuPxBHxW2e12bZZM41GC6pdnt9vdJjNTwlGfQUvLlUfTka02lIZrxDQajVqZuki0xTqRCQkJ7CwjagMOh0PrHDcajVAURft8bUxdDkMIAZ1OB4fDoX2uKIqiVStSl4bwXzPM//PFZrMBaGgUOProo1v5Domoq4olJzgcDi0T6XQ6mM1mKIqCrw/WoLDut7XF91Y48a9tDR0xvz8+DX2sIqjaj/o5GC/Ds0wYlmnCrnIX3t1ViyuPSwt4/f+m5+CSNw7D4RVw+YA/ry/C/80cBAAtLuUZ6Uwpj8fT7Iz0aGasR9sIHSuWYSZqGzabDUIImM1m7e+31+sN+m6ufgar38uFEAGfp+pscp/PB0mStBK8Qgi43W7tM8b/mLS0NPTu3bsN7pKIuppY2578j1MHjqt9NI2XpzGbzSE7mv3zqNPpbLd2MEmScNXx6fjTh0ewYU8NZgxNQN+U6NYAV1mt1ojaPO12e5PVnCRJgtlsjjhvt9VEzmgqKHVEnXu+O3VrDodDa3RUQ6eiKFrnt/9fTnUNH7Wxs3GpBzWcKooCRVG0jnOfzweDwRByBIzZbG7dGyTqxNSBKh6PBy6XCw6Ho00aezqLWMoTAQ2fUXq9XguSakdOKOECldqJ7vV6Y76OePHvLIqF1WqFTqeLuNHR4/EEfHbr9XptVL3VaoXb7Y5qtk5bhM3OHjSJOgv1c0RttJQkSfs8MBgMAZ8d6hd6dZv/YBtFUeB2uyFJEnQ6nTarUm0QNZvNQZ99auUMIgqmfsdTG9CcTmfAYBSKfrkYoOG5qt+P1aVsnE4nnt7SUOUixaTDhP4JWPJFGTyKwLh+iTh/aFLQeZxOp/b5Ga/PMUmScOHwZADAh7vrYHcHDuTU6XRYdWEv7eefytz497biFr2/TqfTsmCkM4LsdnvAvw3qs7RarREP2lT5V7VrTewYJ2p96sxHdQal+u+Vmi8Nft/BXS6XNjknVPUgj8cDp9MJr9cLWZa1pcgURYEkSSGPYVslUXhqW6V/rox1JnBXJElSTO2EDocDBoMBJpNJa6NzuVwh87rT6QzZlqYoipZH27tC76jeSRjXxwJFAC/vqI76eKPRqM0Cj3RCktfr1fqr1H8X1LZKWZajGoSqDtZvTWqF5c6MM8ap01I/ENQPDbfbrXW8qaWD/amjbxqXfJMkCSaTSWtwUWeX+3eOeDweJCQkaDN71LVxiShQXV0dCgsLQ3Yu6nQ6ZGVlISMjo9OvQ9JSRqOxyVJD4aid3U0NMlBLbzdeZzEUtZNGpQ4MaovGZvW91Iof0cxgV0eRxjIrSA3s6uCnlgzYsNvtAR1cOp0u7uWK2IBJ1DbsdjuEEFqZc3VQit2j4Jv8apw+NCNgf4fDEXI2oCzLWlUOk8mkzchUG1zUfx/9cyUbMImCKYqCsrIylJeXh8wlZrMZ2dnZSExM7PYDS5KSklBcXBz1cernl/q55L+2+FXHpeK57ZU4XOtFhlXGLePSm3zO6gAG9XMP+G3ZsliM7WNBn2QZh2u9WLe3HrOOSQ543WAw4O5TMvDoVxUAgFU7qmDUAVec1DPqcpfqbJ5Y1yNXZ0U1rkoXDa/XG9SIaTQaWzwD3p86SYCIWpfH44Hb7db+vqltkQBQaAce/CQf152UgWN7NmxTO0MkSQr6Lmk0GiHLMux2e8Bnq/odVu0w1+l02ucecyVRMLfbjcLCQtTX14d8PSUlBT169OAyBGjIlbFUAookA1ksloiWu/H5fNpStupnn9qG1xZ8Ph/mnZSFbYcLsLnAjt3lLgzJbP7Phl6vh9FojOn5qUtgSpKkDbaPlTq4wD9X+v87EQ9doa2ye/dMUKemfoja7XYkJCQE/OOlfjG3Wq2wWq0wGAzaeraNO7TVzim1g0ptFAWgBUy1vK46UiclJaWN7pKoc/B6vTh06BAOHjwYNgwpioKSkhLs3r07ruUWO6ukpOBZN/FgMpngcDgiCjzql3D1M1BdisJgMGifnxaLpVW+XKuVOhwOhzZgSe3Ut1qtYd9TXVMnlkCnDsiI5xqOaiOo2gASb519zR6izkAt1wb89iVcrUJ08wdFWPJlOb4rtAfkSuC3ZSsan8u/Soo6Y0j9TFMrVagd61artUt8qSSKJ7vdjn379qGsrCzsYD2n04mDBw8iPz+/288eN5lMcenwfGZbw9riySYdZL2ET/bZoJOAO07JQJKx+cEH6kx+NVeq63CbTCYkJiZquTKSikE6SdI6w9/ZVQuPL/j3eMKARPRL+e27/YrvqvD6d8VaHpNlWZvBHW5GizqzO9rlhfyXaotXI606UF/9Fe8/18yURG1Dbetwu92wWq0wmUza59LL31agoMaD+z4pxiNfVqLKLWlL+LhcroDPR7PZHFAuXR2E7T9TXJ2hKYTQMiU79oh+I4RARUUF9u7dG7ZTHABqamqwZ88elJeXt+HVdUzJycnN7xQjh8MR8aA/tQy7mivVjmOz2YyEhAQtV7bGxCudToecBAmTBzZ8T3/p++qAGdzhNF4OI5r3AxraIuKV//yX8PCfjR4vXWEQFjvGqVNqvAasz+fTGjTVkpVq6Q51Rp/asa1+QVY/zPw/GHw+H6xWKxwOBxITE7WR22qIVT/A09IC1zkj6q6EEFqArKmpiegYr9eLwsLCLteIKYRAbW0t9u/fjz179iA/P7/JjtKWlhEPxWq1Rj1jufE6Z8BvHcd2u73VypWq6337UxsE7HY73G53yOAW66wwdZZ+a4r3c5JludvPgiNqC/5lLiVJ0nKlJEkY269hENPn+2u1XKmOBFcbJf1L5/o3RqoVKvy/4Pp8Pq3h859fHMaOw7Wt2vhA1JkoioKioiLs378/4jxjs9m6ZCOmoigoLS3F3r17sXv3bhQXF4ftvBVCtLhjfEfxb7PFLxiWhKX/6yS/ZEQKRmZHlp/UahmNr83lcmn5Tv1cjMTkAYlIt+hRYffhs3xbyH2eOLMn/JPSv7ZX4eO9dQAaMq46Ezzc8wmVgyOhznhqTa2RK4mo9TXu9PEf6HL7hGzMPDoZOgn4Mr8O16w5iJf+Wwq9wYSEhATtO6uaMf0/ZxRF0dos1UpHaql1dbk0tc2TiBqquhw4cABFRUURD4ArKSmJurJjZ+ByuXDo0CHs3bsXe/bsQW1tbdh91VnL8WQ0GqNuAw2V3Xw+HxRFgc1m03Jla3SMq/f/u1GpkHXA98VObC+o0fqFQg02NBgMUQ+0VLVFJ3O8f09bo027rbFjnDolj8cT8CXW6XTCZDJpZSL8v5TXuxVc8OKvWLWjUivXoa4dpv6/P3UEploW7eb3C3HuyoM449+/AGgYOdXao63Vkps2m41rM1OHVlJSgkOHDkX9Z9ThcKCioqKVrqrtuVwuHDx4EAUFBdpaOvX19di7d2/IzvGKigoUFhbG/TocDkdUX4RDNWACDaMV/Uc5tlbQbKrBTy3H2VhLGgnbYjBGPNfYYaMGUdtoPNjS6/VqDZITBjR0jH+VXwef0vAZopYh83g8Wjl09Yu5/xdOIQRkWYbH4wn6HL3yjQN465c6/OnDI7hv7Y+ten/qjPj6+nptXUqijsbn82Hfvn0x5cPS0tK4L2XSntRBp6WlpVqVnPLychw8eDBoXyEE8vPzm5wFFYl/+s0W33zIAYdXYGRPCy4blRrxOcI1kFksloBqPZHmMYNewoxhDZ/Ba3bWQglxnMWox9zRgdf41NZKfHkwsCPd4XCE/A4fSxUhtcR5a3+WsmOcqHPyz5VqCXSj0QidTocEox7XjcnE09N7YWS2CS6fwModNbj6zQPYtLscNptNa7dsPJDI7XbDbDbDZrMFdKL4fD7odDrodDpkZma26r0JIeD1euFwOGCz2dpsGTaiaNlsNuzduzfqJUmEEDhy5EiX+XOtVu7cu3cvampq4HQ64XK5UFBQgMrKyqD9nU4n9u7dG/f7d7vdUXekhhu82Ph7dayDHCORnSjj7KMasuiL31VrzyXURJ5Yc5bVam2TP2/x7hjvCrmy898BdUuhOuHUThy19KVqyRdlqHUpWLmjBh/vs2HR6T3RJ7lhNI46wtJsNmuNnEIIbbvVakWtu+ELr/d/33szMjKC3jteqqurUVJSEvILulp602g0wmg0av9vMpm6/XrN1D7Ky8tbNEOnpKQEycnJnX6tOyEECgoKQjbIKoqCqqoqZGdnB2wPFUDjdS3RdMyqa203ZjabA75AqI2JkiRFvW5jOGrpyqY4HI6gtdhjCYzqqPpoBjWpnfLRNrTrdLq4DWbqCkGTqDMI9XfWbrfDbDbjqBQHkk061LoU/FTqxOieFu01tdNb/UxUS1xaLBb4fD5tTUig4fPMZDJpnymltt8+e1/Zdgh5v5Zhwy0TkGiJz7+JiqKguLgYNTU1Ie9PLb3pnynVX6xUQW1NUZSwWSoSaiPmgAEDOv2fX6fTiUOHDoV8TR007Z9nXC6XNkAnVjuKHSiqa2hUHJhuwPdFLiQZdbj95HToonic4RomG293u93aPbjd7iZz01lHJeH1n2pwqMaD7YcdGNs3uHzl7JEpeG93Haocv53n0S/KYdJLOKnPb/u73e6AgZnqn5Vos2W0f8bU5TkMBkNUDfTxbiTtCjN7iDqDxp9p6megxWLR2i1zU43429RsfH7QjmX/rUJhnQeL8koxto8FN5+ag1SDpLVNqsf5fy9u/B3eYDAgMTGx1b4/ulwuHDlyJGQ1OXXJjFBtlfw+S+1BXW4n1n9HHQ4HKisrW7X9v62UlZWhrKws5Gvl5eVIS0sLyDW1tbUdYnJeuEk8RqMxaEa/OlFSrUDZ0vyk1+sDJgrNHvH/7H11eBz3ufWZmWUQs2S2YzvMDE3TMDTQpOktM90yw71N+ba9bW/7leG2TeG2adImadpw0jA1iQO2ZcuWxbBaSYuzs4PfH+t3NDuahVmQVvKe59GTWNqdnR145/xeOKcR9+5PYO+siCdGUzh9rS9LvaMcEDe0k6v0+XxZtpjLhdXAK+vVtDpqHlad2LkWoyzLZgXAveE0Ai4WfQ0ZMjadkPGe28fwg6fndTkjYyAhuUvjtt5xQpO+vdt2RzE/P6//mwrolfiO4+PjGBsby7k9RVHA8zwikQhCoRBGR0exf/9+7N27N68ESh11VBqyLGNmZgZTU1NlbUfTtFUhqR6LxfImciORSNZ3JJ+cUkD+22bSZPSWtBOTrBKY5mlxAkkGiaJYkanoYsm2LMtlJbmNhalit+PxeJBOp0tqAKhkQr6eSKijjsrDzoQfy7LgWAan9GVi7k0vxfCXXVGEkrI+gR0IBPTFOPFIiqHGWOpwOLJiSqsvc39T0WkiIuCYL92L+3ZOlvsVkU6nsX//fszNzeWMtZIkIZFIYG5uDpOTkxgeHi7KBqSOOioJ8uEbHR0tu7jL83zWOm2lIhQK5f17JBLJ+nepk+IMw8Dr9cLr9eJHT2eOm8/JYMdkhqN+9Ix29Lb4i95ergSmeVocgB4ni1E68rtYXHLYwtS4FRwOB751YUfW7zQAX/rnDF6aWojDiqJkcWgqONmB0bao2OZ0juNKyhlUeiK9zivrqKOy0DTNVr7SqqB8zno/fnJFD64+vAEcAzw1lsJb/zyIP7wQAefyQJIkqKoKr9er5y2pEE1wuVwQRTGrGZImuytR4IpEIti/f78u3271vQRBQCwWQzgcxvj4OA4cOID+/v68NiB11FFpqKqKWCyG4eHhsq+76enpFb8mUhQlrxKTKIqLcn/xeLykz3I4HPD5fLo6BoE8we3myXIVXa1ykWTXIwhCRRR+zcqVzV5OVzD63QsRXUWOmuUJqVTKdq6UXl/s9cowDFKp1LJfm6RSstJRZ8Z11CyoWByLxdDe3o6OjoXFbq6FpTnpePOuGB4f4fHKjX685ohG/OjpWYgKcNfeGB45kMCnz27HKesyvo5Gv1uaomQYBhds78B/PZJ5kPx5ZwyvO0HE/v37dTl3hmFwxBFHlPw9aSqg1EKZLMsYGRlBR0dH1jGqo45CUFUVoihCEAT9h2RfyZLA+P/pdBrz8/MlEyUrJBIJjI6OoqOjo2hPFfIqJNJjJbe9VNA0rWACk6R2A4EAgNITmMZuRDPZIvsHOx2LuRKY5mlxMziOK3uB7XK5io55JGlM+yQIgq3v6XK5SpZWomlQO6gkOVwNHZh11FErIL4lSRLWr18Pn29hirBQjDh9jQ/37k/i5ZCAF6YFNLg5vGpTJqZTgcc4LS4Igt61boxh9JmapqHN58B0QobHwWBrmwfPT6agaMA7fvscrjimG99/3fElfc/5+XlbPnpmkOzghg0bqm4dVMfqgqIoWZwynU6DZVlLTsmyLBKJBObn5ysqgT45OQlJktDW1lZ0YoruYUVR4Pf7l7V4SIWFfIhEIujs7NT5hlUzYzFwu91IpVJ4YSqF8ViG61Ci7/KtQZzU67HFaXKpEBWKr8Wcpyu2BnHr7hh2zaSxKyTg8I7sNYPL5UJXQMYrN/jwwIGDzZDIFMc/d38I37ygE9vaM+/heR4sy+oxkuf5LDWPQjByYFof5QPLsiVPE1V6YqvOK+uoo3KYnZ1FKBSC0+nEpk2bshQocsW9XPe0z8nibcc348ItDfjxU2HsmBLw+xcjuH8wgX8/owvHtqctC+FGRTdSkhweHoYsy7rE+dq1a9HQ0FDSd1RVFRMTE4sasuwgHA4jkUhkHaM66igEGkIzckpJkvRGZHPOUtM0RCKRnEpZpUBVVQwNDaGzsxMNDQ1FX7+SJIHneXAcB7/fv6zXfTgcLrgmnJ+f19eokiSVdPycTidkWdb5jpFXud1u8DyfM/+YC1Zx1OVyFeS9lTj/Vnz2qsMb8fe9CYxEJfzzQBLnHcwFmMFxXM6mKTMcDofe8FRsztLj8ejHwO53reRQ2mpptlwd36KOVQdFUTA8PKwH1XA4jLa2Nn1xnqswZ1y8j8ckPDGSef81hzdgXZMLr9zShC/fP4FnxlNISir+4/5pHNcdxWfOakdHS4PeNU6Bief5TIKEzUipRwR10cK22IecLMtIp9P6FKLxv5XAzMwMmpub6wveKoJ8RystM0pdwEtR4BVFETMzM7oPdi0gFoshFouhsbERLS0t4DgOHMfpHWiUsOR5XvfaMpIMp9MJhmF0iUKagGlsbMwqfFRr34s5jvPz8wgEApBlGbOzs7YScMDiYjVNvBgtJOzK+FglMHNNi5vfVy7ZNDcxFYJ5P6nAVMz3Ne5rrv1mWVbvbJVluSw5onyKJnYLVauFbNZRx3KD53kMDw/rMWB2djarSJ2rEEWLx2O7vXA7gLScKbac1JspGBvjED3HaQKSnmWUHKHXUCNTd4MTO0MCeEnDv5/SghenUvj+k3PQANz+wiQe23cv7vvIOWgOLJZW1zQNoijqPNLIKSvhsUZedOvXry97W3VYgxJ+DMPA4XBUjFfS1JbL5aqIukshxONxzM7OQhCEqvr7FQtN0zAzM4PZ2Vm0tbUhGAxmlB8O8kqGYSCKos4nabrECJK9Jm4FZKaeW1paqv5cLtRsCWS4TCKRQENDAxKJREmT9sbYRd7iHAukFWBTiwtvP6ElK/FWDKySiEaumgvFJOlafA68cmMA9+xL4JZdsUWFceKUHz2jHY+NjCCtaKCtqhrw6Xum8T+XdGN9s8uS/4qiqBea8oHjuCz+nuseczqdcDqd+n1eaqNSvmNT55V11LF8mJmZwfT0NIBMTI7H43rxmef5vGo9+bCh1Ysvn9eBx0Z4/PzZeUwlZHz+7jGcssaPfz+jC70Nvqwcosfj0S19cq2Ni+EXqqpCEARIkrSIV1Zi2lsQBEQiETQ3N5e9rTqsQcMjTqezovyPrg1qwqgmVFXF7Ows4vE4BEGoCaUBURQxOjoKj8eD9vZ2nV8TryTeTblKnuez+DDLsnA6nTqvJKVHv9+Ppqamqh7TQtPihGg0iu7ubjAMg5mZGdu5OqrDGDkL5XLpHLpcLiiKUnQeMVcRvZhru9xJ6ly52oCLxbVHNOBXz0fwuxcjOHu9H06OWdRESpySmpPywTjEoyhKziEkUqej660aMFoNFYPVUnuqM+M6agqapiEejyMUCmXd7KqqIh6Po7GxUSdVVjAGpL/uikFDJnm5rilT8HCwwBfO7cALUyn818NhxEUVz08KeP3NY/jgGZ04d93iwqSmaTii3YUXpjPBNZaS0OB1Zv19fHwcDodDlzJmGAYMw+jy56lUCul0uqgFd6mgztTVEpxqAZqmged5JBIJJBIJPbHj8Xiwbt26ihxrURSxd+9eAEAwGERbWxt8Pl/FCZKiKLoneK1Kl0ejUUSjUdvvowWmscgxOzuL2dlZNDU1oaenpyoSL8VMixNisRiSyaRul2CnYJ9rGoV8xui72Z1GKcZb3IxK+mfnA8VTulatkqrFFMfNf6ekAYHiJnUjm0Hnys6xNd67DMPA4/GUbLtRj+d11FEeZFnWLWiMyRXyTuM4Lq/cOL3HyTHoa3Bi/5yEVh+HRg9nGS9lWdb9Hym5aAQVLFVVRZNnYWG/eyaN8zcHcXKvD++9YwKxtIrZpIjjv3ovvnrZFlxyRIdeUKdiHsuyFbHzyQVazNeneyoHWZaRTCZ1Xknnr6WlRU9IlYvZ2VlMTU2BZVm0tLSgtbW1Ks8SQRAwNTVVsgpOtaGqKkKhUNE8zQhas1FSi2EYhEIhhMNhdHd3Vy2xX8y0OGF+PmMLNjExAQBZvrOFYOQ1Rm9xRQU8Dgb/ef4aeN2MrcRbqdPidorvV29vwL37EnhqLIWRiIi1TQtNQ8a1zRdf2Y5P35s57+0+DrMpBbIGfOTOKfz8mvVY61u8r8QH863VKbltfF4Ymyfo35Ik6T9m8DxvOx9gTCxTwV2SJNt+5QzDLEmzTB11rGYIgoBwOLwoHxmJRNDQkBm0oYK5GYVU16iRiGEYnLnOj9M3NOG3z83gr7uieGo0iedu2o9rjmjEa45ogMeRWf/TFG0+zM7OIplM6gMEDMPoBT2ytEilUvB6vWV75ebDcsv+rjZQkyxxymQyqTfgrl27FsFgsCKfMzQ0pCurtLa2oqmpqeK5NWpSnpqaquraphyQ8phdkOc1NRZQc2MkEsHs7Cz6+vqKVs60i9nZ2aKaC1RVRTQaRTweRywWs31+rfKVqVRKL+bSmtVu0dV8LRQzLV4Jz+98uGxrELf1xzGTVHD/cBpXHt5kec2KogiPxwNRFHOeA7fbbdmcS9A0TS+E5xqqsnuuzPtCEve09rHD/VdLs+Xq+BZ1rBqQz6EVwuEwgsGgPhlqBfr9fErB/YOZRM01R2Q6N43B+pguL/5wbR9+8q8I/rEnBknV8O1HpnDLS07ccG4H2vzZt8Ynz2jD6/+SSTx8/+koPn9Om/43TdN0P7tCXfHVXIx2dXWtWslLInjVSM5qmgZFUbK6Yun/RVG0fHgLgoDBwUFs2bKlbFJovCbi8Tji8bjeRUgyrFY/mqahqakJ7e3tBR9IkUgEU1NTNTHJUw2QTKcVAYpEInA4HOjq6qr45xY7LQ5krjMj0TfLOFqB/m5FChmG0aVIqYu3WHAcZ0kqi50WN39nYxdspRYyLperKELL87xl3KWCtHkb1OxiB6IowuFwFH3/yLIMr9erd23TvpVCHFcL2ayjjuXCyMiI5T1PDVQdHR0547B5MlA++DJBzliOmGMhdZcrirLIW41AE6sAYKSa/eE0XrHBj0Yvhz9cuwZffyiEx0ZT0DTgs38bwM3/GsWXzuvM2pZZOaSSYFkWa9euXZVFcUoyVMsTjRqhzBNX+ab55+bmwDAMuru7y/58o08dNUT6fD69OJ6LUzIMg46OjoLTK4qiYHp6GnNzc2Xva63C4/Ho584Isvlyu91VUSSyU8SPx+NZTQmF7lWjxK+Rq/3wqezz+MEzOtHh0SBJxa8ZPB6PZbGnUHzKNZFDihvmSeu+RidOXePFE6Mp/GVXDB8+fWE9bmzcPLLTi+1tLuwOi5jhFbz2yCBu2hmHpGp491+G8JPLe9AeWMyvyGLKar/p/jHz7VKmduzmA0ipTFEUiKKonz+7DS+VVKaoo45DEbIsY9++fZZ/owlXj8eTtwiSax1qVcwJeJx487FNuPCwRvzwiRCenxTwx5eieGAwgXee2IJT+7xZU5m0LqambwIVTgvFZLIFqsaUrs/nW7W2j5QvrFZ8pcKqlUqU1bnSNA3Dw8NYv369buVXDogvp9NpTExMYHp6Gl6vN0sumrikkVt6PJ6ictSCIGBiYqKqxczlRq5iLRXbN23aVPF1CQ1GFQtSfwIy11yheEGxIheX8/l8+prLbhOtz+ez/OxC/CnXcaa8abG523wx0O1g8W/HNOEHT87it8/O4Jw1Lnid1udOEAT9s81rwFzHt5RcpZ18gCRJ+j1JtqoEuwN0qyVXuTq+RR2rBvkCcCqVwtDQENatW2fZbWn0Zri9PwZJBba1uXFEu9syQPr9frz3JAaXH+bHDQ/OYCohYygi4W23juOawxvwthPb9GJbo29h4fnseBIc1wlFUXRPE1qoFpqkpK6pSktYB4NBtLa2VnSbywXqoKOuKEEQIIoiGIaB2+0u25tIFEVEo9EsUlnKBKwkSbqMYTngOG6RZAntWyHMzs4iEomgvb0dLS0tlmRqdnY2Z7PJakGhKedwOIxAIFCRhQGQIQxzc3M5u8GLRb799vl8etee1WQ0ecHTAiQfCQSgd4ZT8dsqxhY6juZpJOo6N8q5uVwuXXppqRoxUqmUPkFDC3qHw1GRYlEpRadc3fDku2QHRr+nOuqowz5IfcLqvgyFQmAYJuc9ZkxgJtIKRqOZJGNCVLF/No11jdmLc+MimmQtjSC5S4qXQffCM7t/ZiGGchyHz7+yG0+OJvHlB6ahAnhuUsBr/zSC/3dpFzoM0urVirPd3d1LYu+yFEin00gmkzqnFAQBiqKAYRi0tbWhs7Oz8EZyQNM0fQLcaJNUijLP/Px8lm90qbBKUhSbZBkfH8fs7Cy6urosOZOqqhgZGSlJunslgRJ5uTA6OorNmzdXrOFZlmVMTU0VPS1OME5bF1pj0v1MiXSn04nnRmOYiC/EkPM3N+Dc9T5dSt5c9CVJegC6BQBNHOb6XrlAnMh4nMnOTJZl/b2UvBMEAZqm4TVHNOKJ0RT+OZTEG45p0pvZzffNf53fgav+OAZVA27eGcdnz2zB1x6ZQ1rR8L47JvDzK3vQ5LFOhZEiEzU4UqNEuYpbJK1ul1fmKr7bLV5JkoR4PF6xKcI66jjUIMsyfD6fpcSzpmk4cOAA1q1bp7/GjFw5J6s1uLFJvMvH4MvndeLxER4//9ccQkkFX31oBiev8ePtxzWit2EhV5lKpeDz+XS1E7fbDYbJKIAUyqGRrWSlC5Qsy2LNmjWrojGHeB/xScpZapoGjuOwfv36soaVVFVFJBLRt2tshrKLSCRSkfyXmVdSvrYQkskk9u/fj6amJnR2dlo2cwmCgAMHDiyJIuFyIdcADyGdTmNqago9PT0V+0ye5zE+Pm6LJ1CMIK4jy3LORhkaiqEcpJVqEd0TFJOs4qaxYc84WW51vApNi1vlQymXR/cQy7J6M2e+fHuh43bZ4a24ZWcUk3EZt/XHcP1RTTlfS7HY5/PpOdJKTbXT97PDK1VVtXy9ncYBQiQSQVdX14qP7dVpla+jjhKgqipisZjuzejz+RYtcnmex9DQkGWyjmTMeUnFP/ZmPMivOaIBfr/fMujQgruv0YVfXNmLtxzXBI7J+JD9eWcMb/zzCHZOLCQogq7MzS6p2fIWqVQKoijm9MAwoxpT49X2JlkKSJKEqakp7NmzB6Ojo5iZmUEsFtOPKT2gy+lgnZ+fx969ezE9PY1IJIJUKlUWCbObwMqFcjqtFEXB1NQUBgYGMDExgbm5OfA8j2QyicnJyVVfFAcW5LHzJfGL8dYpBpIkYXBwEJOTk7avRfM9SgVvM2hBavS0N8cWSh5S/DFfx16vFw6HQ5dypMYhnuctE3uFpsXp84yQJAmKomRJP5FvJxG+XNd2oeRiKck+6pJ3u91lL65o4rySk5ilJFTt+DDVUUcd2SBZYlEU4Xa7LRNV09PTOZ/lxkTUM+MpqBrgdWbi+MMH4lmvNSt7WN3vFDMJjYaizOC8CJXN8EjiJqevC+JP1/WhzZfhwklJw9tuncQd/dGsbVZafo9hGDQ2NlZ0m8uBZDKJ4eFhnR+RlCidg0LFz2IwMjKCoaEhhMNhXUWm1G2qqlqRgnO56wxBEDA0NITBwUFMTU0hGo1CEAREo1EMDw+v+qI4IR+HoQJjJRCLxTAwMJDTJiwXGIZZVHimWGcGJSyNVg5OpxP/zzAt3tvgxDtPaNRtwIxrcEro0bS5JElgWVa3C7OC1+vNm8y3anI3ym4af0ef4fV6cXinD0d2uCGrwG39C+fAzLE5jsP7Tm4BACga8I8BHp84MzNhnpI1vOf2SSTE3FyT7DBoWrtcULNBpZqZOI4raVrd3IxQRx11FAeSeqa1tM/n0/OPBEVRMDQ0ZHmP5bJGy5VDtHr+nL7Whx9f0YPrjmyAk2Xw9GgS779jAjfumIcgZ+K60QfamC8AipMyr4Z3bSAQWPH2YKqqYm5uDgMDAxgaGsLU1JRewDae73LW7ZIkYc+ePXpOL5lMlqXGF4vFKjL9X+5UaCQSwd69e/UcL6krhMNhDA0NrfpcB6kJ5vNon5ubq8i50jQNk5OTGBwctF3kdLvdWdcy5RDNNRkqihNfpKK3kX+S8mkikbDklU6nEx6PR1e3kGVZz1XmuubzrW9y5TKpKE8gZY10Og23250zf1zomnQ5OLzhmCYAwF92xRBL5389qVY6HA54vd6KnOtcU/WlopR8Qql2kbWGemG8jpqAIAgYGBjQb2xZlnXSSYUOAnkrmkE35F0DCSQlDX0NDpy5ocHytSzLLiKGrzmiETde04utbRmCG+ZlfPjOKXzz0RloDINrj16YyH5s/5weyM2fnw92PRuKRbU8SZYKc3Nz2Lt3L8LhsOVDgmEY9PT0YNOmTWUl/Cot+xiPx8tOLlDipVxIkoS5uTlMTExgcHAQBw4cqFgxuNZB8YKmOqxQiYYUSZJw4MCBkghILuk0IpMejwc+n28RwaEkmpm00cQ4gQro9EPboIaBQtcYTcbkQi7ypigKBEGwLPBTgdzqnBS6b9LptH48ip1apG57+lyv17soYVEsrBoByoFR0cQOYrFY2coEddRxKGJubg779+/X/022BhzHLWq8tHpWkrcw4cmxTEw9rscPAHhiNDue50v4sSyrx3mC1+tFW0OmUM8ebMrcP5fNSyVJgtfF4ddXr8EFm/z673/yrwg+cdckFEXJOZVUDnLJwK8UkITkgQMHchYv3W43Nm7cWJbNiiiKFSuOEqLRaOEXFUClPL95nkc4HMbo6Cj27duH0dHRQ6Yonk6ns7iEFSpxj8RiMYyMjJSUFLYqPJPfKCVgiUMZYwSpET0zHNWnxVkAn39lDwLubF5JiUuGYfSJINp2obiTrwCcjxNRkcF83GnSmmEYXHtUxuP9roG4Xty2SjZftCWITn+G/z8/JWBDWwAfPytzzydEFe++bRx8nuI4eUPS51o17dtBJZP/pSp6jI+PHzL3cR11VAqapmFkZES3u6Aih1Xjpaqqus2iEbl4Yi6byFxrb4+DxbtP68EvXrMBJ/b6IKvATS/H8L47pvDocAI8z+s2hGaJ3EKNOSzLlrx2zoeVnqtMp9PYu3cvJiYmcjYXNDY2YsuWLWVNaEej0Yo+JyrRcKlpWkW4rqZpiEajmJ6exvDwMPbt27eqrR7NoCY/Utsxg9Qdy4GmaXojsF2QXYsZZClozFVSUZzA8zwCgUBWIZ64oxEcx4HjOJ2/Ug7R4/EU5DSFpsXz5TJ5nofL5VoUg0mlNRfPz9cUyfM8LtjWis2tbvCShptfLm5gTpZlpFIpvVG1VHUJjuMqruxRyr2oqmpWvmWlYuVmPepYVYjFYpaFG1oE5wtYBKfTCUnRcFt/JihdfXgDXDkIaC7C1+hx4MdXb8KnzmqDmzs4FTTE47r/G8a6xoVt/fjpOcvA6/V68c/hNN552wSu+P0wDsSQVdwRRbEqnj2VSoItBxKJBCYmJvIWyhobG9HS0lJWx76xW7ZSKFZGKB/s+L7UURi5irTlFsZlWcbQ0FBRndZWyPf5PM/rHZJWBIdihrFITFJElKQjLyeScPX5fHoiM51O5y2MMwxT8N6gRGsu0srzPJxOp+XfBUFYRKgLEX9KOBgbHgqdQ3NspWn6aizw7aKc62+1d1HXUUc1MDs7a8krqGudrHtygRIBACAqGp6dyMTIy7f64WCBkaikS6sD+Zt9nE6nruTidDr1YnajJxMX2IPUZsdY9qKaivg+nw+fPm8tvn3pWhykptgdFnHdTePYMxEpeCzsotAzo9YxOTlZMInX1dVVtk2F3QnfYlBuw6WqqodMU+RSgexazCh3gioej2N0dLTk9+cqLNPamRrJrSaGRFHEdx6b0f/99hObsSaArCSdoijQNE33zKXGzWIkGwtNi8uyrKvDWR1Hknn0er2L+KIsyzi+y4X1TS6kZA33HRDyxvLvXtSt///H/j6MV6xz410nZibJo2kV7/3bBETZWibUyMlpyqhUn+5aUnarRi6ijjpWM/I1wlHjJVks5oLVes7r9ebMLeSa9qTJ81aXgq9e0IPPn9OODr8DoYSELz8whf98IITRqAi/37/oXne5XDqvNP/QFGM1hnhWcq5SURQMDw/nLRpxHIfe3t6yeIGmaZYNFeWiXIXLeDxecRvQQxmqqlrmwcrNVdKkeKnXkNvtznmNkw815easYhkNtXg8HrAsq9sN+Hw+PS6SDz1NcZNKJika5UOh42Ns3rTiW0YJczOoYcEYH+l75ENaEPD6ozMKa3fsjSOuFPY/Nx5jarwsZT1ajfxgqdyQzutKRt1jvI6aQDHdLuT3lStoptNpPDEhYZZX0OrjcP5hzbrEJMuy0DRNl6XNtTilicOz1vlxSq8X33osjCdGU0jJGr5w/4Ik9WR8wSPy1v44bt0VxSyvwBwO/ueRCXzv0sp5heRCLBbL6zGuKAqi0ajuUUOyKG1tbcvqX5tOp4tKCrW0tJT9WZWYwrFCLBYr2atNFMWqJFYPdfA8v8hn0YpM0WQNkTzyNVRVNWsqJp1OY35+vqxCQbndsKlUahFZoQIPx3G6r7fT6YSiKIs6OfOhGBsIoyci+XmbfcTp+Fj5chv9IksBJWaN0kM0TV/Ip4cWIHbIXqWThnauHZZl0dLSgubmZjidzhU9uVlHHcuBQr5hBFqM5ood5E/+4nAcgqyh1cfh+N4gju9N4OnRJJ6ZFLGhNbMAzxVDzdtXFEWPB25kYqJyMNz0hzP77PV6sxaYFMOO7fHhz9f34QN3TGE8LiOtaHjvHZN4w9GNuP7opoLf1w4K8UpBEHRfbZLA8/l8aG9vL7tgWA7m5uYKqgM5nc6KeC5Wg78pioJkMlny/s3NzdWbqaoEo+8iYM0rqaiQTCb1aULyaCRO6XK5kEwmMT8/X3IiyWzdYBcvhiRMJzLvX9/kxBVbM+sYsgKgiXBN03R7GjuJ8WKKwEZeSJNFZklaKjaxLJvFIRmGwdWHB/Gdx2dx80uzuGSzFy7O+jMbvByu2hbEX/vj4CUNP3pqFu87pRW8pOB3L0Qxm1Lw/r9P4dfXbQCLDF9TVRUcx1keY2oUtdtsvZxczuVyob29HcFgEBzH1VSRvo46VgKKmbqVZRkcx1laoAELhSMAel6Smr8pPhht1KxiDN27tE6VJAlnrA/i2G4Pbt4Zwy27Ynh+UsA7bh7ENUc24zXbA/C7M83plP8zFuYoL1htkDxyrsYBmkomJUVq9K/EcEw50DQNo6OjBfMkTU1NZcd4ml6tNGKxGHp6eko+hvUhnsqDbCCN68NchV9SxjSqIlKMIF4JZHLd5agDlHv95vJRp9/5/X4kk0m9AA3AFo8qJo9IdSJS+DFzVxq8seJwlBe2OwR1Yo8HR3S4sTOUxo3PhvHJc/t0HktxXhRF3WvdCrk82pcaHMcVna8NBoNoa2vTn18rnVfWC+N1LDsoQBUD8q4gsmSEJMv4447Mg/vyrUEwqgxZXRxEcyVBzQtFl4PF587pwO4ZAV/55wyi6YVCiQbgst8N591XFsCmttKkMewimUwiFouhoaFh0d9SqVROQhePx9HT04Pm5ual2M0sSJJUtHxgJSR2Kj0tTiiHbJY6fVxHYZjJZTgchtvtRmNjY5aUU67FYDKZrKjUoMPhsO0X7fF4dCk0837S5A4VqSmmORwOfZqFfkeERZZly2vOLhE2LqJdLpceO6lQXaiJqViQzzd5qDMMk7PjPN9x5TgOTqdzUcI1Hyrd9VhMcd7pdKK5uRmtra0Vkf6vo45DFXakxcjOwuo9FMMe2h8BAJzal5mCPLnHjadHk3h4MIart/n1hKMZVgtvYwxo9GYShBRtds+kF72HYjwt7n1uN3766l786rk53LIrM730uxejeGSYx/cv6axY7AiHw2hsbFxU5NY0DXNzc5iamloUJ1OpFOLxONatW1eyzG85iMVimJiYKPi6ShSOKdFRDcRisZIL4/WpnupAkqRFnthjY2Po6+vTC8ehUAhzc9aKYtQQU+7klnF7+Zp6coGmVf70Ykj/nZNl8I1HZ9EZdKHJBXQ3etDskdDsYdDi5eDjOF1+XRRFsCwLt9utF7Ir0UhoTGYaPcbpuLEsu+j4n73ej9/uiGCGV/DAYAIXbcndpPz2E1twz/6M1do/BhK4/ugmXH9UE2Rw+OMLc5iMS3jHzYP44aXdYFlW54y5QEnXSstY2kGhOMYwDLxeL1pbW9HQ0LDik5Z11LGcKPZeJ6WNXMXxfFyTkMsrF8jEcHN+QlEUeBws3nRcCy7a2oQfPhHCM+Mp/OnFedy/L4b3ntqJk7sVPZ9AhbR0Or2kjYzT09Po7e1dFIsURcH4+Ljl85GKgb29vUveXESy1MVMu1eCV1YrV1luw2WdV1YH5msmnU5jYmICXV1dYFkWgiBgcnIyZz6SpqwrpTJA1o12myBdLpelzzT9XlEUeL1e/XuQlLzx9bTWNQ7imGHnHjPWl6hZiZpbFUXRFYkqcc95vV684+QOfOSOUdw9EMM1R8TR5V8cq3LZagLQC8u5nhu5YObF5aJQDoHjOAQCAbS3t694ewwz6oXxOpYd6XTa1qKaFuc02Ul4ZjyFkagEn5PBxXkWxySVYU5c0AQkybbJsgxN03DCOh9+e40L//tcBLf1xxdNhRM4BugOOPD2k9twUndmUa9p2pLJlY2NjWHjxo1wu916gSqRSFgmLwmapmF8fByiKKKjo2NJFs1UlJyYmCj62PA8b1n0t4NqkTqa2vX7/YVfbMJyTlWtdpjPt6qqGB0dRTwe16fElxK5uhNzgaR2re4RI7EiUkkxzSz5aU7ckWSbkUSVc99bkTfal1KShhzH6d/P6XRm+Trm6v7M9x2M+2Dn+FdDDoik74DMYiEQCMDj8ei+SvVieB11VAZ2406+4riqaXj6oL/4KX2ZSZ9T1/jwo6fnsG9OxHRCxnrv4vhDHrpOp1NvHqIGH92+QpXhdgBpGeAAxNIqhsJJdBoW1MbFvXFK9K3Ht+DsdX58/O4pSCowHJVwzZ/G8I0LOrG1rfzFKjUvbtiwAcBCgSocDudV4BFFEYODg1izZk1FprKLgaIomJ6eLjgpTqCp3lJ93YDqJgpjsRi6u7tLejbXeWV1YNXsl0qlsH//frS0tCASiSypTybJehcLlmWzpnm+cl4H3vbXMYSSCgbmRAzMiQAWJ18ZAC0+Dm1+J9r9DrR4WLT7HWj2sGjzcWgPONHb4oeczj42pa59NU2zvLcYhtHtevRGUJbBldsb8PNn53HLrhjO3xQAxy6+Zyh5998X9+K9t48BAD5+1xT++PotePepfgiSilt3RTAalfHRu6bxnYs6cyoRUaNlKbyy0jBfb36/H16vN4tX1ovhddRRGdiJt6qq6qqVpTSJk9WPObZQUZykgkkdjqbA0+k0ehvd+MoFvXhmQsAPHpvCVELGlx+YwDFdHrznpBasaXRmNc8vZbE5EonA4/Ggra1Nz1WKopjXtxvITMJKkoS1a9cuGccRBAFjY2NFn79KDFNUc1q0nIbLShff6sjAKu8zNzeHZDIJv99f9JqmUqA6SLEgy5xc6yHjQFAymdSL7sQPaZiHLHuMQzcMw1jmcksBFcLNkGUZHo+nJFVLn8+HdDqtc9ItTSxOXRvAkyMJ/P6FKP7jVb2LnhnpdNpS7Ykk7FOplK4CWuz+sCxbtXuTZVkEg0GdU3o8npKthFYC6qvnOpYdpRSoSDKYEo0AcMvOTJfhxVuC8Ltykzyrgo3x39RBRMGYPGo/eHYfLt8ex9v/Oqa/b2OTE+86qQknb2gDkFm4EzGyG6To+5iJIS3C6QFByQGShzcGp/HxcVtTkYSZmRndA4QeUvTDcVwWaSYPiVKKOKlUCpOTk7oscjqdLuo4lUs2jdKl1UA0Gi2pMF4vhFUH+RaitS5dTxMeRuJoJF9WzTaSJGXFMLpnrciXsdCcSqUWxZBKgBKb5NFTbIzPVRymeJZMJgsuzkiijuT0jZ9NiU763vlQjYYmSkx3dHSgubl51RLLOupYbpTCK3MVx/eGRcwLCnxOBkd1ZgosTR4Oh7e78XIojSdGeXQGHItiE8mREacjzkPQpTM1BoAGn4tFXFSxc5pH72FNuswcwzD6Atkczze1unHza/vwkbumMTgvQVaBj901jSu2BfCuE1vhcrn05KMRVKwHoBfvjYtd43Nh7969tvkT+TG2tLTo2zbzSuNnkTKK3QQt+TFOT0/rfuzFnntKLpeKaiYwSTax3nBZO8h1baqquqwyo1aN3maYlYVoeuZ7l69FmFcwyyuYiKYQTsgI8/LB38mYTSmQVWD24Gv2zOT+jEYPpxfO2/wcOoNuNLmBNh+HNp8DrT4OHkfpBRhKsHo8nixue8HmAP7vpSgm4zKeHONxxtqFe4ZUh4jPbWhx46QeD56ZEBBKyvjzjhAuPSyAD57Zjbgg4f7BJPbNifjsfSH81wVdAKBPx1PRyWriZ7kmx6nRyufzobOzc1mt0eqoYzUjl+JaPtBauNTiuNUADxV3yGKCph8pHpIiiCRJOLadw4+v6MVf+xP44wtzeGFKwL/fMYFrjmrB647mQC30dq2+aJDIuH806UiDRZIk6Wt64pP031gshpmZGdt5Up7nsX//fjQ1NS3ilGS3YeSV1DBgF7Is6+ov1GBUTCMkqenl85gvhFpuuKyrXFYeuc53tST1i0GxNQSyNjTa4RibdKxUL8iihlQ16Mec+6Nrzev16vGkGs0ZkiRBURQ4nc6iC9FksUbvNeKtJ7TiqZEEHhyM4drpJqwNZt9rqqrqdp1G6yCy7wEW1KBYli3qnqt0YxOtx1taWpbdGm2pceh80zpqFqUWPYl8sCyLFyfi2DWThoMFrthW2O+Zgh8VocwLWqskIs/z6PRzcDCAfPCZMRaXcNL61kXvd7vdOmGlLiRjIpKmIUkyhDwaaZ8oIUpB1xx4jf+uVLd6PB5HPB63/BvLsvrCX1VV+P1+BAIBtLW1FUWwJEnC9PS0XpS0Oub5kEqlMD8/X7Lke7XJhZlsqqqKWCwGTdPAsiwCgYBlwa9SDxujRMxyyvrVCmrVk5n8ZVRVXSQhRDDfG8YkXL5zS17jJF9LpNTqM2gCka6baoHIbD4vTKMXG92nDMNk+aaTnBSQfTyMCWGa/qPiFv2d4iyRT57ncxaLjKhG96XL5cKGDRtq9vqso47VgHwybIVAxchUKqUvUp8cy8SbE3u8cBo8bM9Y68PLoTQeH+Fx5faGLKULh8OxaB/M9306ncZUXEJaycSw9U1OvBRKY2BewXkHlWiM7yXbCopdqqrqHPinV/vwu2dD+M2OCADg9v4Enh4T8P8u6YLXtdAoRVNMZk9J87/tcjQraJqG2dnZnH+nRKYkSdA0TeeUxU60JJNJvdESyMRXO/s8MzODhoaGkp+BS8ErjYVxURR1bz6HwwG/32/JvyvVcEnPTpquP9RRq8fAyClzJdHMawOKVUEHEGxgsKHBAXQtXjurmgZBc2CWVzEVExBJa5iKiwjFRcweLKCHeQWioiEqKIgKRt60WHo24MpMmbceLJZn/t9xsHie+Z0vT2M7AL0pnOB1srhsaxB/fCmKm3fGcPoaX1bSkeIwTQV9+YJeXHbjfsgq8NOnZ3H+Ji9csoyPnN4GQdbw2AiPl0NpfOGBaXz9ojXweDw6bzQeT6/XmzWFVExxvBpKRN3d3Whpaan4duuoo44FlMqHaBKSvHXtQBAEfXKQCkTGGEIew7RepVhlhJMF3npSJy7e1oL/eXgMT42lcNOLc7hvIIp3ndyG8w9r1ifPybKCmiRTqZTOPUmC3TgdSvyTPNHNnKgaHEmSJMzMWHdoUZOQIAhQFEVvluzp6SmqWE02QaFQSC/w2Z0kHR8fx7p160pufF/qhstkMglRFPUmslzSyJXKV1KzRLGDUasZdiXLlwrpdFrnlbnWgsYmHQLVLPI12tDfqCmZBuVyxVcjvyJ1jErDOISUL877fD49BlJMoN8RNrd5cfZ6Hx4a4vHLZ0L44is7s3KVNJxJ76GmAFprUdM4z/M6zyyUz6j0kI0sy9i8efOy2KEtN+qF8TqWHeUk36jocmt/hmy+ckMArb7Cl7UkSToxEEURbrdbT9BRMccYjIxE9M63HYbzf7k3814l8wAxBy7q9CJ/XPodAF2q3ZyIJOSSkcuFahEL6gSjyVX6AbIL3T09PTmnWlRVxezsLGZmZvT3ut3ukpLWExMTcLvdJXXEV5t8kfyJz+eDKIoYHR3N+o4Mw6CxsRE9PT2LkuPFTHtYgcgldTGnUqmqFjlXEmo1gWm8DnMVxs2wk+RWTMWUYl5fTQlIURR16fNcsJq+IaJIk4zUmERS5LRQp6l0nufh8Xh0tQ9FUfSYLgiCXhQyqoCwLJu3i78SCUyO4+D1euH1evXp+XpRvI46qotyPW8lSdKTRIIg4MnRTHw6dU029zhtjQ8//dc8ds+kMcfL8HozC16aiqGFPMUYs5+Z1+vFrU8vFI43tHrwUiiNl6eScDjaspIAtB3yGjd2lgOZxfm1RzbijLVefPAfUxBkDVMJGdf/eQw3vKIdx/X6bHvGVQPmxAJNEwGZ7zg0NITGxkZ0dXXlTGSKooipqaksL8pSJjYVRcHIyAg2btxYUlyuNq+MxWLo6uoCwzCIRqMYHx/Puq5JfcRcFCv1GUONdcZmXVKjOdRR6sTfUoASdCSBmUsu0ohiYwHLMPAxCnwBYE2AkmTZiXNN05AQVb1IvlAwlzF78HfhpIyUnHldQlQxFMnNfb1OxlA0NxTQvRxa/Q60pRW0Bb1Z9/xlW4P4y64YBmZFvDSdxvF9i6d/SBVNlmV86qx2fPWhGagAPntfGN++KHOfffmidfjE34fx7DiPZycEfOXBKXzqzFbd39w44UPfnUAqRbIsVzU2uN1ueDwenVOuNo/HOuqoRVSiUdDtdutF5GJBDT2U4yEFDGMTlLG5nKYq6XkuiiJEUUSQlfD1S9bjoYFZ/OyZOUwmZPzXQ9P4e38EHz6rB52eBU5J05k0GZ4rT2BXSShfk3ypoIZRylUa46+iKBAEAQMDA+jo6EBra2tObhuPxzE1NZXVoF/sxKYRiUQCoVAInZ2dtr/LUthvUsOlqqqYnp5e1Lzq9XrR29u76LlS6prA5XJlyfwbmyoO9cJ4raqGktoCkOFNVnlqjuOy7mW7RX5jTCmGW1d76Isag3JJmOfyBk+lUnC73fr1nEql8IZjmvDocIZD7gylcUyPXx/QIfVfioWUI6VcJcdxesyhJv9C69ty1+uU7/D5fPB6vfD7/WWpXqxk1AvjdSwrchWH7WAioeKx4QQYAFcfvuBDTTKVRDSIKJK0B01eUDGTAjpJgRi9yKnbUw9eAIi63LFzFlcf1w0AuhQHdQSZyaRxcrFSqIa0jXHaiQpIRrJGhaV0Oo0DBw6gqakJXV1dekehpmk6yTTun1Gi3i40TdP9Lu12MdFkTTW69QlUuI/H44uIraZpiEQiEEUR69at08lQJBIpep9ykUsj6lJHtZ3ANIIWuebzZSWTvpJBRWsrYkdJAprgBqDLK1Hxh86n0UPH4XDor+N5Xp88JEJLvm50b1EB3QgqNOWTVmdZ1vYi1eVyob29XSeWdbn0OupYWpS7gDaqVITTLMZiMhxsZmKc4oiqquhxqdjW5kZ/OI1/TYlo8S0UvI1T67TANCeB5pJp3Lt/YarSf3BFdmBewv88OoWPnNOrN/lQwtOqocoYW3saXLj5+rX49D1TeDmUhqIB//HgDM7b4MNHzmgv+hhUgysZ95P4jPFZTbE2Go0iHo+js7MTLS0tWUo8MzMzCIfD+v7lUn0qFoIgYHR0FGvWrLFdUA4Gg1W1ZpEkCaOjo1BVFYnE4ulbWZYxMTEBWZbR3t6uHyc7noS0TqIGS6vjeKgnL4HaVSEywyqhR9OARuRK8pUChmEQdHMIujlsyCPqxYuqLtOeq4CeEFWkJA2jUQmj0dzc18UxmQlzvyNTMPdx2NLqxM6QiN+/FMXmDj+CLgegaXC5XFlrcVEU8apt7fj9CxEMRST0zwjYGZZxQl8APM/ji+e249P3TuPlaQEPH4jD62TwgZObFyUoeZ5HIBDI4vAUp3MliUuNq8FgEK2trfB6vTWbTK+jjtWMcuMl5W7ISoaeq8aGNOMACjVz07M/EAhAVVV9P6igQsM5QCa+kGWP8bXG73Bynw/Hdntw6+4E/vjiPF6aTuOdtxzA5VuDeP3RTbpih7FAUymYi2mVAE22AwZ7IgOoADU1NaUP8xjzAel0GlNTU1mKmTQJX2q+cmZmBk6n07aSB8MwCAQCWU2flUYkEoEsyxAEwfL7pVIpDA4OYv369fpxkmW56H0yN1jSj/k1Kz23VQmshFylqqqW+TtzbiudTlvmNFcKqEhtpSZJBWuXy6XnJ2nIjzid0UJhY0cDLtgcw50DCdz4QhT/1e7SrRyp7kVKH0aVS6NqhxGUR7WSbgdKK4yzLIvW1lY0NjbC7XbXc5UHUS+M17GsqMTC/E8vZLrdTlnjxWHdjfo2WZbNKZFOxV4qltIDmoIaeUfQVKLX69X9CBmGwT3v2IpX/WIPfv6aTmxqadGnw40E1eq7mSXgKoVcHU6lwui1YSTXRtJp/H6RSCQrYJun3klGvtzpVFmWMTg4iObmZjQ0NOjnoxBIzjyXVHwlIAiCJckx+kXzPI8DBw5g3bp1YFkWoVAo5/aKIZdmVLPwv1KwUhKYgHUjgzmBSXLgK3kRQUUmYzIgVwMDxU9K5jIMA7fbnVUcNx8zhmH0WE5xizozCaIoLjqOpLhAyQSzkgdJSRWLxsZG9PX11QlmHXUsIyrBK2nR+9D+CADgqE4PfK6FAiLh1DVe9IfTeHgwjsu2NekSlGavcU3TslQrAOAfe2IQZA0NbhaxtAqG5eDmgLQC3DmQwP2De/HG49tw5WGa3mRTLIf6rwu6cNdAHD94KlMkvf8Aj+cmR/HjK3oQcBUurFRjasXIT4jPGP0hjRxWVVVMTk4iFovpx9KcFPB6vZAkqezzHY/HMTg4iKamJlvS6oFAoOoNl1bJSHPSlmQ/Ozs7kUqlLIvoBHODZaHEHE03HOqo5PqqmqCkmllZoBb4o8/FYq3LhbVNuV8jyOrBIrmse5+HeRnh5ML/R9MqREXDRFzGRHzxedk5LeC6PwzCweJg0dyBdr8DnQ1utAcENDgUdDeq+MxZbXj33yYBAJ+/Zxx/ed1afRtfO68dH7s7hIHZNO7eG4OT0fCek1qy4i9NcppjAMV5o1WRUXnNLtasWYPGxkbb76ujjjoqA1VVy85f0bOW5M9VVdXt9qw4jFFymNbD5n3gOE5XsqB/p1IpPR9p9BunwRVJkuB1OfHGE9px/pZG/PCJKTwxmsJt/XE8PMTjbcc34RUb/FVpiKtGfsbIT+gYG5WbzH8fGRnJkgVPp9MVa7Q0YmJiAolEAo2NjQgGg0V/94aGhqoWxhVFQTQaXfR7t9utF+ZUVcWBAwewdu1a+P1+zMzM5OW5xTRYGmFuVjsUsZLyesUUY6l4vJJB+T+j8hIN3eSSk6f1GHmlA5ljc/1RjXhgMImd0yk8PZ7CKX2ZIRy/37+oHmL8f+KM5jwn5T9pDUdNUaXA4XBg06ZNh+xUeD7UC+N1LCvKJR9hXsZ9+zIP+Ncc3qh33pi9GWl6kIIPBR6a3qbubpLsJclbCnjGiRWanr7/ndsAQPcApyIOFW6sEmaSJFXFU6TShXGrwk4+KQ+Sl8tFpOm4VgKKoiAcDiMcDsPpdKKhoQHt7e0F/W8aGhqqWhi3glE2npLj6XQae/bssXy9XXJphJXfSx21Dav7xdikY+VTuxJBfrikxpFvqp8SiAB0XzNa6Od6Dy38zaD4ayR/DodD96IlBQ8gu3OXXgPYm9jv6OioF8XrqGOZYdfH0Qp0H5OM+lkbGrJ+T4vTM9cp+PXzEbw4LSAqyGjxL1hAEAc0Nl+SZJmkarh15xgA4OguHx4dTiAhaTi+N4AnRjKFTVHR8MtnZvCnF1i866QWXHp4W844Z2w6Ily0JYiT+3x4398mkBBVzAsqXnfTGD55ZhvOWm9tf0OoRtd/rqJQrqY/j8eT91zalSTNB0EQMDU1hampKXi9XjQ3N6O5uTlvPOc4Dn6/P28huhow8mnilbOzs5Z+7sbiXLENlkZUKklcx9LAai1onM4iDlar59TjYNHbwKK3IXfCTlQ0xCQGU1EBYV5B9OD/z6eBHRNJJMRMnJFVYDqpYDqpADNpAItjCQNAO7jNt9wyijPW+XXP8/ed1oFv/nMCkwkFd+yJw+tg8ObjFkbiKVFp9OQln12aKjLyd7K/Mj4PCh4Pj6deFK+jjmVGpZQeaR1LFo6iKGbxIiqCm6fCaUCC8nAcx+lThMRRSPpaEARdSY1kfskfnApXxE+b3Rq+ctE6PLp/Dj99Zg4TcRnffnwWd+1L4MNn9aDbW/ZXzkKlmwitVN0KqaHky5XlKoCVilgshlgsllFVCQbR1tZW0JomGAxW7PPtgCToqYCvaRqGh4ctX2u3wdKMugrRyhpkylfwNvpgr/R8JTUrUGMjgJx2CqQqTFzO7/cjmUzqMbrV58Dl24K4eWcMv90RwUm9XrCArtZghPFaMCqJ0JAi5SyB7PUyDQ6xLGtL4bK1tbVeFM+BemG8jmVFQ0ODZTKnWNzeH4esAkd1erGtPSOvTQUPSkAapSp8vozPIhFP6vahbkyjB63b7dYTXuQ1Q1MaJAFMSQjqTkylUvrUuHF7BPodkYpcEr52Uc0pWWORiAgddVXR53o8nrxk0ihLX0lIkoTZ2VnEYjGsWbMm7wT5cpAQI/kzE0GSRaWp1FLIpRGVLMjRfQFU39fFLozJJVmW9YlfAFmFzloA3TvmKUMikrTQpb9TEw4t7FZKN2k+kEcZkFmwBwKBvIUEs2UDTRPmOq/GxieKMeTlK4qi3plPiQRqPKHtWzUq0XUFLCg3mM+hFepF8TrqWH40NDTYkpO2giiKmE8p6J/JxIbju5zweDz6hA7P85BlGWtbvNjY4sbgXBqPD8Vx8bbMsoqe71TEpAU0Pbfu2ZfAXEpBq4/DkV1ePDqcwDwv4YS+TGH8qC4fUpKCfbNpJEQV33ksjN88P48PnNKKE3uzs5VGz3Iz72zxcvjjdWvwpQen8fS4AA3ANx4N459DSfzHKzpyfv9cxfZyYORgpAwCLDSq0nGiOFqo6F2t6QRK8CQSCfT09ORtulzu5Jb5/FBDHV1vkiSVnKwyJmMqAePkWy3xNJZl9SY8I68klOJfX01QMcTcEEhrWeLItL5kWVa3n6ql414qXByDtUEf2g5aoGY4YBt4nse+WT8+fOcUGADfuKATDIOsyXOSbJ9NZXzPVcPtG06puK0/d/P0n3fG8NS4gOO6vXj3aV1ZKkgUtyiJacUVjXHZaCWRL5lZ55R11LH8cLvdFZEJNubqKBdJyoAsyyKZTMLj8WRJq9PkN8UYUpEjL3Dz4InX64UgCJBlWV8H0++8Xq/+fCPLMYZhcEKPFz+8rAd/3R3Dn16KYmcojXf/5QAu29qAd5zSBRdTmSbESisRmVXdKBdrzAVSIwGpNuXjQ+Zp0UpB0zTEYjHE43F0dXWhubk5Z952uTglTaFanSNj3q2UBksjKsmnKJcGZNZstaTsQ1wcWBigM/L1Sg+0lQM6jqqqWjbriKKoD27RuSOJ9XQ6XVP8uBwYlXIpVubLwxrv1WQyqcujE15zeAPu3BvHUETCw0M8zj+sSbfwBRby68Y1iFEVk+5Jq6FP+nwjpycbt2KUwOqwhq1q2g033JD1YGYYBl1dXVl/37ZtG/x+P5qbm/GqV70KTz31VN5tSpKEL33pS9i0aRM8Hg+OOeYY3HXXXYte96Mf/QgbNmyAx+PBCSecgEceecTOrtdRoyjn5kyIKu4cyCxirz+2NWubTqcTyWRSl8YFMgGI5/msRSwlaWRZ1okmAF0ejUBEixIMoijq/rb0oDASKSqk5wJNAxsDZC2C/DTo2PE8r5MPp9OpS+8UeihqB33eqlXAlyQJg4OD6O/vx9DQEEKhEOLxuP6QUxSlqtJEuUDXkcvlgteb8Sel5DrJoPA8X3Y3ss/nW0RSnU6n7u1MP/TvQqDEP8/zWQnsasHhcGTtJ/14vV54vV59oUiyWHS/UaGBSAUtJGsBVPCmewbI3E8+ny+rsGIsuNb6NE8pMHcl2k3MUqKR4Ha74fP59AUHxZ9UKqXHd4o1RCoB6MVyKmyRKojD4YDH48nZPUnnQxRF+P3+JbkfDiXUeWUdlUYleIYsy3g+JEMDsKXVhZ4mn95QSfGakgin9mUqNE+OpbLildPp1J9H9GziOA6qpuGvuzN85DVHtaLFl4llUUHG5qbMvg/Pp/HdizrxjfM70R3I/H2WV3DDgyG85/ZxDMxaewNS4yUVwgj/eW4nPnVmG4jVPjWWwvU3jWIulbvwXUiFxy7oWPh8Pr34THGb4PV69UmUQkkjRVHAcVzVeGUsFkN/fz/27t2L0dFRzM7Ogud5/XvYVfWpFFRV1RvCiCsZp8LomJbTWJerkdXIZYmjeTyeop6LdP9QQaDaMPNfK15J96ggCEilUnpBAchc/5X04i4XtD+0r5Ik6Q3gZCsgiqJegKXzR0pVq0kS32y7QNjc6saxXR5oAB4Z5rG93YOz1vlx5fYGvOOEFnzqrHZ868Iu/OqqPtz99m248epefO6chfyBiwPOWe/DkR1udAUccJhCy0hExN/6o2A1VY+PLpdLV5ejJs1Cay2KHZqmwe/3F23fUEdh1DllHZVGpWwQyRKMQHFb0zRdHYe8n0VR1AdQ6Jmpqqr+DACgT5MbQapsxAGp4E4FF0EQdG5Acu4A4OQYXHdkI358RQ/OWOuDqgG398fwpj/tw917InBb+HfbRaULgbQ/LMvq6jZGXknPBmP+qBCMzZmVhqZpmJycxO7du7F//35MTk4iEonoKiOaplnKnC8FSCWV+J3X69XzIsa8WznNslbNlvTcNPNKmoTNByoC0qBbtUEF5Fy8ku47qj3QtSiKol57cDqdcLlcBXNhQ/MiPn7XFL716Ax+u2Me9+yL44WpFKYSEhS1cs0TxoI3Neo5HA79HKRSKX3K2ahoSfnN1TL9bxziARYG+uzAaGvhcDjQ0RzE645tAwD89oUIeEHUYxMpfvh8Pn0dQj/0O1L8Iq7p8Xjg9+dWe6M1DF2jK8latFZgO+txxBFH4L777tP/bezYP+yww/CDH/wAGzduRCqVwne/+11ccMEF2LdvH9rb2y239/nPfx6/+93v8POf/xzbtm3D3XffjauuugqPP/44jjvuOADAn/70J3z4wx/Gj370I5xxxhn46U9/iosvvhi7du3C2rVrLbdbx8pAOQTg3sEUUpKG9c0uHNflgsvp1OXLKGFgDGpG7xjqBgIWOnYKFQwp6WDsvnc4HHoXInV2UiHZDFo401QoyanVStLFCCIqVg9umpAH7HV/EiElX7ZqdMopioJEIpE1kUoP8OXqwmQYpiqypARK3NGUN3V0Gr2SzftTyNuGpGBVVa066aHu3HKuBypQ1ApyyY9addmSz3itTSVVCubzSvEj13el+GiM35qm6Y0G5jhiBh1fKx9yal4yk3vqyC9USKBpdCuZe4ZhVry/0nKhzivrqBQ0TUMkEinpvVRkosm/x4bCAICzNjTqMdrc9OjxeHDOxgb84cUo/jXOQ2WdWRzQXKBmWRbPTggYjUrwOVmct86N3eFMTEuIGrZ1BeHiGMTSCmYlB45b48bPOz14fCSJHz09h4igYiwm4yN3TuGwVhc+/YourG32ZjV6Gj0TjThrvR/H9Xjwvr9NYC6lIiGqePMtY3j/KS24aMti+cZKcybjZLgZ9Ds7n2mM8VRsrwbPo+c2rVcYhll23+ZqT10Th6FJIbqucvEs83VuBTpe1bCTMoKSSOUen2qtU0qFlXJOrukQSsIa7ZxWC8wJTCCTEKSG49cc0YAdUwLu2ZfA9Uc1osnrWFQoBQAHx6KvrQFtARfO25DC/Qd4iArQ0+DEJ87McAtN0xBLqxiLSvjigyHwsgZVA/6xexZXHNlueey9Xq9uCZTPAoi2n06n9elO47QQUPnmpEMFdU5ZRyVRTqMZKceRGgkVtml62erZSWtkRVH09SbFFHNMMOfhjHLgHo9HVyYEoA/j0ICL1fO8u8GNG87vw3MTKfzg8WmMRkV894mMvPp7T2rBxpbSm3jIfqJSoO9jHk4ygo59sdzQaFNTLRVCyiUY95nO0XIWGnPlDSsByntTDp3WWdSsYYVi8mKkWFrtZktSXSiHT9mxURmPS+gPp9EfXvw3lgHafRw6A46sn66AA51+B5q9XFHHg+M4y/WiFfclSx6ail4tBXGCVV48X2HZzCnpeqZhG2qyverIFtz80iymExmluEu3Lqy1c/FHuuaNFmz0+mI4Ia3XKD6alYnqucrcYDQbWYQbbrgBt956K3bs2FHU62OxGBobG3HffffhvPPOs3xNT08PPve5z+H973+//rsrr7wSgUAAv/vd7wAAp5xyCo4//nj8+Mc/1l+zfft2XHnllfj617+e8/PNHdIktxyNRtHQ0FDUd6ijepBlGQMDA7aDq8vlgqwBr/+/QcwLCj51Tjcu3Nq0yFecyCdJS0iSpHdSGj18CPR7KqybJyDS6XRR++pyufREEk29VLsoW8miGnXG5tpnCrTUhFBqgosaBVbTFIMZdjw/SkUpJKVQsgZYuKaqKfdTzYXHcqJQ44ERxiTaakMuSTJz0buU+Ggn5lHXpbEhyegNRKBCOcdxlte8+TMpYSGKIoLBIPr6+mx/j5UM4njlcKqVxCvrnLL2EY1GMTo6avt9JBenKAp4SYXb5cJr/jAISdHwg8u6sa2rIYtPEk8SBAEejwdvvmkQY1ERnzyzDWcb/LuJK5EkWyAQwIdvO4AdkzyuO7oFbzo6iIHZND5y5xRafRx+c3UfPnn3FHbNpPGh01px/qaAXuACgNt2zuGX/wqDlxZi5vHdHnzsjFY0eoovonz3sRncf2Ahlh3R7sI3LuzOek0lpdQLyVNSoszhcCCZTJbMmatddK0FLEUTnVEZq1gUI0FK3LNa36EWmhaqAbsyvmav2tWEXNcZJTFVVcWH/j6J/fMi/u3oRvzb0U1Fbfea/xtBWtHAALjpuj54XdnJw4So4h23juse5p9/ZTfO3dS4KG9Ak59AdkN+rvWgeb1AEp4A0NHRgebm5kXvWa041DglUOeVtQ5N0zA6OmpbdZAGTHiex+fvm0ZvowvvO60LHBZkyaloQaqUAPS8mt/v1wcdjOtRsvdSFEX3hTYO9hSblyOrH1IzkmV5UXySFA239cfwx5eiEGQNLANcvCWINx7TiIDbfnGl0vysEOfw+/2QJKks73DjeVzNWIqGRau8Sz7QoES+dYhxnVIJu4Nc+7HU18AcL2PXTBpTCRnTxp+kDLlAutDFMejwGwrnfkPhPOBAwMVmNZXYwWpcY+VrSiELgVJzlRzH4bZdEfzkmTk0ezj8/MoeeMxSRAZQLKcaC8nYG/PkpJKaq3nXfB8QD02n03A6nVi/fv0h1XRph1faPioDAwPo6emB2+3GKaecgq997WvYuHHjoteJooif/exnaGxsxDHHHJNze+l0Gh6PJ+t3Xq8Xjz76qL6dZ599Fp/+9KezXnPBBRfg8ccfz7uvX//61/HFL36x2K9WxxJjbGyspKI4JWs+fHor7tufwCs3N2YFdrqeqCBtlmnMRaLMxTlBELJ82YoNiMsxuVrJwnu+hz8FY/LSIGk/emDYaQKgzrPVDKfTWXUCUcr1Rsn8fAVpYyLHjj+82efdSCioWYTue5pqqSWvnUrADvGnQuxqK4y7XK6csbZUgmmEnWOsKIrlvpjvAfJry1UYN++zsbs6EokgGAyisbGx6P2qI4OVwivrnLK2IUkSxsbGbL+PkgOCrOInz8xhcE7EtUc2QVI0dAcc2NLu11WGcsW0U/s8uDkq4vERPqswbuZSL41HsWOSB8cAF2/KJEKD7swiOZ7OPAO2t7uxayaN/pk0zt8UyJoKvXCTD+dv6MMfXozill0xSCrw3KSAN9w8jrPX+/CBU1vzLroJHzmjHa9Yz+OGf85A0YCdMyJe88cRfP+SLvQ0ZHhZJScC8sVrt9utJ2XJ95IkQolXFovVNsWwXCiFt4qiWDRXtPP8p6Sk+f0kA2uUIKTGt2r4hC4n7E54rFYPwXyJXCOHvuaIBnzz0TDu2BPH1Yc3FBUTv/jKdnz63hA0AB+5awo/uaI36+8BF4sfXdaNd98+gZSs4asPTIJVZZzct1CUsproNyp6We27Ob4Zr9vp6WkEAoElkYldTVgpnBKo88pax/z8fElWfFSMfXIkgR1TAnZMCfj7nhg8HIOjOt349zN74HLJuqyyMTaQOogVn7GyWyNbGTs+y8Uoojg5Bq85ohGvWO/HL5+bxyPDPP6+N45Hh5N483HNeNUmP1gbz5pKPpfy5RiAzLOCcpWSJGXlKu2oIa623EwuVJs7l5LjK7TuAjL7Ta+xIx1NakgEq1ylkWOSteRS8coWnwNnrltcplM1DXMpJbtYfrBgPp2QEeYViIqGsZiMsZj1Mfc5GXQGHOhpcKPNy+gFc/rJxZeokWY1gXLQudY85d4XiqLgsu3N+OvuGKYTMm7vj+O6I3PnCa04ovm6pkYmyqGbz4l5vWCshSmKgomJCaxZs2bVrhPKga3C+CmnnIIbb7wRhx12GKanp/GVr3wFp59+Onbu3InW1oxH0x133IHrr78ePM+ju7sb9957L9ra2nJu88ILL8R3vvMdnH322di0aRPuv/9+3HbbbfqFGA6HoSgKOjs7s97X2dmJqampvPv7mc98Bh/96Ef1f1MXZh21gVLIBvm8iqKIE3oYnNDjBQtVn9ImLx0zaILczgNNVdWs19ey1HElH1TUqaooil4YJXkQSZL0hb+VLHQu2XLjgpICsd3OwZWIWvb3oHNKXWdWBXbyOrFz3ZOEi539oIneWpJDzwVK4uciS3aaCIBMwYC6mlcLlqLRoVpTYdRdbgQ9Xwpdn2NjY7oHax3FYSXxyjqnrH2UwoV4noff78fcbBzPjKUQTav43QsRAMCZGxr0ZkAzSKIxlUrh9DU+3Lwzhn9NpJCWVbhzJBb+/OIcAODs9X50BjNxpcF10LNa0SDIKra1Zxoy+8PWz1GWZfGGY5tx3ZGN+Nm/5nHP/gRUDXhoiMejwzwu3xrE245vKsg/juv14Y/X9uED/5jEVEKBIGt41+2TePOxTbjuqKaK8kqWZfXpeZJ8p2SlkV9YNTFZcRArTkmfs5qa7KxQq4kpmlwjbmmlsmX0Ri0WpUw+p1IpeDyenLYCtYZK72s6nS5K3n4lIZdFkRXOWOtDV8CBqYSMe/cncPnWwpO3R3Z6cWSnBy9PCxiLyXhoKIFz1geyXtPic+BHl/XgPX+bQFrR8JWHZvC7a3rRcFCtg+4B835a8UqKh/nyErIsY3h4GBs3bqzp9WQtYSVxSqDOK2sdpRZGyUrhkeFQ1u8FRcMzEwLefNMgHCywodmJNx3dhON6Mw02pdjCGHMuxSgC2kWb34FPndWOi7ak8NNn5jESlfD9J2dx97443ntSCza3FvesqWQMI3sj4pQ0YUmKThSD89m/mHNVPp9PHwYBsOi/qxm1ypvJboCuHatBtVQqZWk1kw8cx5XEK5e7FsAyDNp8DrT5HDiiY/HfZVVDOCljJqUhxKsYj6QwnZD1yfOIoIKXNByYl3Bg3jqH1uRhsybN6Wd9mwNNLhWr6W4gdeGqQpXxhqMb8e3HZ3HLrhgu2RKwpbhBTR/GZ5Esy5ZxyefzFVxfxWIxzMzMoKPD4gI6xGGrMH7xxRfr/3/UUUfhtNNOw6ZNm/Cb3/xGJ3XnnnsuduzYgXA4jJ///Oe47rrr8NRTT+U8+N/73vfwzne+E9u2bQPDMNi0aRPe+ta34le/+lXW68wnnx6E+eB2u1fdwnA1oRQZB3qQaZqmF6jMDzcrGWPyJFsKaevlQCW/k6IoSCaTiybHiyFN5kkNmirPRSK8Xu+qKgiaUctkms5npclwKQsfRVGgqmrNS/QYFQDIesGc1CJJNDtNOEZ/xJUImninBSkVPqqJYlQPitmG1fPCvOgqlLw0vm54eBibNm2qT/gUiZXEK+ucsrZRqjQYyd+2eFj8x6v68Im/j2A8lokJJ3Qv9rM1fh7Fji2tLrT7OMzwCnZMCjhljW/R66cTMh4dyXChqw5vgKqq4DgOXicDjgEULTM1vq0tc42NRCQkRRV+l/Uz1eVg8e+ntuJtxzfju0+E8eRoCooG3Nofx50DCbzu6Ea85oj8ChZeF4dfXNmHn/1rFrf3JwAAv9kRwaMjPL5zYUfFvMhIpt78jCsmwcTzfFasp8ajXDF5tU0Lm1HLPKFQMppgVwXAbsMhsKD6JUlSTa/7KNFK0pZWjaqCINjiiFQgWMkwNlh6PB5b9zTHMrhqewN+/Mwcbt0VwyVbguDYwuuxb13Ug0tvHISqAd95bBZnrvEuioHtAQe+f2kXPvD3KVx6WEAvihOs1rQsy2btf67pcSsIgoCxsbH6hE+RWEmcEqjzylpHqbySCnWfPLsTI3dM4MB8JqZ7HQxSciY2yyowMCvhPx6cAQOgK+jAVYc34bKtwZLjdzWfdcd0efH9Sz24vT+O/3sxgj1hER+5cwoXbQngTcc2IViCvHo54Hm+5EKlLMtZOWGfz5fTY5tl2VWbPwbs2f8tB4q1BrDDK0s9l+Vcc0sBB8ugK+jEujb3QensoJ67VBQFgqwidLBIPptmMHawcE4/SUlDRFAREUTsCZt5fAgsA7R6F/ubdwYc6PI70OLjbKlILDWM18lSnUefz4ez12u4eVcMwxEJN++K4S3HFW+RQ3llqwbxUgc4Q6EQ3G53XeXShLJat/x+P4466igMDAxk/W7z5s049dRT8ctf/hIOhwO//OUvc26jvb0dt956K5LJJIaHh9Hf349AIIANGzYAANra2sBx3KKOy1AotKgzs46VBbMsVTEwyniQTyyALH8dq4IEPVRLTfI5HI6aTkbVElkj/0Cfz7dqPe6KxUpPTAH2v0OpiRtN05BOp5ds2tbtdtuKQU6nM6voLwiC3sXn8/mybAHsLjCMRWWPx7PiLAbo2NBxWIoFFnmvlXusrJ4X5RTbacKnlmLySkKdV9ZRKhiGKYlXGnF4K4cLD1uYLvRwjG6xYIYgCPozgWEYnLY2w0MfG7XmPLf1x6BqwHHdHmxsdunNnQzDZMmpNx9MOmgA9uSYGjfC52LxuXM68Oure3FkRybBnlY0/Pr5CK6/aRT3DyYKbuNdJ7bi2xd1ggbd98+JeM2fxrB/tnKNaiR5WCqIV4qiuKoL34VQywnMYmGXV5ZanEin07qX6lLA5/PZ2ldjAzLJHRKv8fl8enyhZnA7oGPscDjg9XpX1MQxNQG43W74fL6SGmZftcmPRjeL6aSCR4eLW4cqioIPn5EpjioacMODYcvX9Ta48Mdr+/D2E1oW/Y2UMIww/9vuuYjFYgiFQoVfWMci1DllHeWgVM5C60hN0/C187vhcWRyIylZw6fPbMH7TmlDd9ChT19qACbjMn70VBiX3HgAb7h5FD/71yxSoj11lWp7xzpYBlcf3oCfXNGDc9b7oAG4cyCBd98+gbsG4lCXOO9lV0KboCgKPB4PfD6fXnTKxa1ITnu14lDyGyaUcz6pOL5UjWp2PsvhcGRxJkmSwPO8fr03B/1Y2+TCSX0+XLTJi/ed1oXPndOB71/agz+9di3+eN0afO+Sbnz27Ha87fhmXHpYECf2eLGm0Qk3x0DVgBlewcuhNO4fTOIPL0bx3cdn8el7pvGWv47j6v8bwbtuG8d/3D+NHzw1i5t3RvHwUBJ7wmlEheVt2KTGU5/PB7/fv2T1CZ7nEQz48aZjmgAAf+uPY463N5RWjaGxsbGxQ7pGY4WyVknpdBq7d+9Gd3d3ztdQsaMQPB4Pent7IcsybrnlFrz61a8GkJk4PeGEE3Dvvfdmvf7ee+/F6aefXs7u17HMaGlpsfVQIal0t9sNr9er+8CSFzIlzXKBpg7swOv16snLWp5krUbRnqYp7YLueUmSavqYVRsMw1RfnmUJsNSLAZLArDZRZ1lWnyjKlXA0Flk4jrO8nsl7SBRFPYlHvkh2QFPWgiBAFMUVI8dNk3zkeyZJUt44XEkYJc9KvWasSLpx/0uRbKcJn9XQGLPUqPPKOsoBSaUWC5fLpcvfUrx3Mgv37Tcfm4XKuS2bKs0+hacfnBJ/aiwFWc2+9xNpBffsyxSorz+uXZeaphjRcHDSJpbObG97W345dSu0+hz4rwu68MPLurGhKcPdEqKK7z4+i7f8ZQzPTeQvJm9t8+CW1/Zh/cH3SirwoTun8Kvn5oreh0IolasKggBZlnP6bppfu1rh9XpXxXPFLr8pR7lAFEWdl1QzkUkckRJvVnyE4zidbzocjpyT9aIogud5nUvSZIid/acpc1mWdVWilaJkQ36w6XQaPM+XNFXrdrC4bGsQAHDzrmjR980r13vRHcwcp+enBOzL0RzkyuNbbi7UpFKprGNfyvU8MzODSCRi+32HOuqcso5y4Ha7EQgECr/QAGpE8vl8cLvdCLqAT565INX/34/PYWunH7+8ag3+9oZ1+PK57Tis1QVjSIkIKm7vT+Dam8Zw7R9H8NWHQgglrJ8X1EgFFKfCUwm0+hz4xJnt+Pr5nVjX5EQsreIHT83hY3dNYa8N3louNE0ruSGWCoaFGi3rig61D0EQbOWAym0w5XkeHMeV3YxdCNS0QfHECka/9HxqNDTQw3EcfD4fnE7nIi4ScLHY1OLC6Wt9uPrwBrz35Bbc8MoO/PjyHtx8/Rr89po+/PdFXfj4GW144zFNuHhrI47u8qAz4ADLZFQwJuIynp8UcNdAAr9+PoJvPhrGx+6awutvHsN1fxrF+++YwJceDOGnz8zhtt0xPDnK48C8CF6qXr6ZYRj9Gc/zPJLJpO1G1nLA8zxOWxfA9nYP0oqGP74ctfV+q3Wv+Xd219eapmFkZGRVNFtXCrauho9//OO4/PLLsXbtWoRCIXzlK19BLBbDm9/8ZiSTSXz1q1/FFVdcge7ubszOzuJHP/oRxsbGcO211+rbeNOb3oTe3l58/etfBwA89dRTGB8fx7HHHovx8XHccMMNUFUVn/zkJ/X3fPSjH8Ub3/hGnHjiiTjttNPws5/9DCMjI3jPe95TocNQx3LA4XCgsbGxqIUeee5IkqTLLgOZRQrLskgkCk/EAPamWVeSHGO1EmWlyOtQoplk1WVZzrmN1SwLZ1f6r1aRTqdtyVhWopBOie1qydwYt2uURtc0DbIs6/KbRLQpIV8Ixm3ZPfdmQkNeRlY+nUbQlPlydf1ZETNaMJj9Y0sBTYEaPcSocSCdTiOdToPjOL3JgWVZaJpWdNyyikE8z+uxj64Hu00+sVgMsiyvmET0cqHOK+uoJBobGzE5OVnwOURNlmbPOIZh8PR4JtY3ullMxCR87f5RfO6cdstYYfyc7e1uNHlYRAQVL04JOL5nofh350ACgqxhQ7MLhzcziyT/9IlxMbO9be1u/HMoif4Z+wnGdU0u/L/LevDSdAr/88QcphMywryC/3wghL4GBz5+RltOT0iO4/CDy3pw8+4kfv1sZlryll1xPDGawg8u64KrTGl1aiCzG0/pHFFySBCEnOfY5XKt2qbM1VAUB+zzxEqsFei5TnyhkqBJPWPiDYDO4UhVJ5VK6f8ulqMQlyyFDxv5mSRJYFkWXq/X0qfTiEI2WNWEy+Va9Ll0vqhAUez9fdnWIG7ZFcOBeQnPTy7EZKfTqXMzVVUhy3KWV+13LurG6/48AgD47H3TuP3Nh9m6Zqw4u7FYXshqIBdmZ2fR1NRU0nsPFdQ5ZR2VRktLS1F5RlIwI19kimNOpxOvOKwNz0ykcefeGGQV+MydI/jWhV1Y1+TCcb0+3WN8Iibi1zvieG4iCeGg5HpK1vDEaApPjKbgYIEtLS68+bgmHNnp1XOVpcaUcnFUpwffu6Qbf98Tx+9fjGBgVsTH7prCBZsz8uqNngXOWK1Bi1L4HuUWUqkUXC4XOI7LmbdZzYUjs83HSobL5SpaTp1UGsu5JmVZhizLui1opa0pXS6Xfm4ot+ZwOHSO5PP5dKs/kvsv5lzStsj6sFgwDINmL4dmL6dbfgELjYwpIY0wr2Rk2ZNylkT7VELGXEpBStYwHJEwHLG+pxrc7CJv886AA10BBzr8Dji50tYCVlLkRp4uimLZ549qUpSrlGUZLpdLb1IFgDcd24jP3Cvg7oEEXnd8J5odxX2m1ZpBFMWsdUEpDZeyLCMajaKtra3wiw8B2CqMj42N4XWvex3C4TDa29tx6qmn4sknn8S6desgCAL6+/vxm9/8BuFwGK2trTjppJPwyCOP4IgjjtC3MTIyskiO9vOf/zwGBwcRCARwySWX4Le//W0W8X/ta1+L2dlZfOlLX8Lk5CSOPPJI/OMf/8C6devKPwI1AlVVMTs7i0gkgqamJrS0tFTM269WQbJxxYD814xFcSATFOw81IqV21lJRc1qehPTw9buMSaCTsfQ4/Hofj40wVDrvn/lYrUkMO0UxYkUVAo8z1e8QSVXsZaSXuYis5EoFXMsKlnMp+2QFKiRwGqaBo7jwPO8XohearuHfN/VXCBPpVIl3RO5iD59V+P1QVL8dq6XXPtkvI5LfRaXqrpxKKHOK6uHdDqNUCgEURTR3t6OYDC4qpvRAOQtmBqhqqrOb4wxbDSuYTohwc0x+Nw57fjsfdN4ciyFW3bFLP26jZ/FsQxO7fPhrn0JPD7K60UYSdHwtz1xAMBV263PgVFKHQC2tWUSrHvCaaiaVpJn21GdXvzyyl48OpzEj5+eQzStYiwm48N3TmFrmwufOKMNXUHr+PSmE9pxSrcTH75zCmlFw0RcxrV/HMOXz+vA0V3lqZnYvQbpOQcsKLQwDAOv1wtRFMFxXFZSc7WunapR0F0uFMsTOY7Tm20rAfIQrTSvtEq6Adkczvh3SnAVwylZlrUsFpcCintA9pQRsMCFWJZFMplctmdFvs+lAkixBfKgm8OFmwO4rT+Om3fFsgrjVseTmvAbvRyu2hbEX/vj4CUN33tsCu8+oano72BVpEqn0zpnLrXhklRGVvtzvBzUOWX1oGka4vE4ZmZm4Ha70d7efkhM0xYbe+m+NyvMUbx5+/GN2DHJYzIug5c0fOGBEP77wi60+RfS8T0NLnz5wj6kUimkRAX/+3wEj43wiB3khrIK7A6L+PS9Gb/f7oADVx3egIu2BCv4je3BwTJ49fYGnL3ej/99bh4PHkji7n0JPD7C443HNuHCzQFwbPG5JLsgmx47z3TjM5vOm8vl0tX7SKWUlFtWq8f4cg5WVBrFnh9q/KsUByQ1n0pfI1bbomI8FUqJSxpfW8x+kBpuJRpqKNY5OBbr2rzY0LHw7CS+IssyEqk0YooDw+GEXiw3Fs/joopYWkUsLWJgznq/Wrwcusz+5v5M4bzVx4FjF3Mj4xrSCpUqkFvVtWhoh1Rkj+r04PhuD56bFPDLJ6fw8TOLK0hzHGfZoENqROWo9K6WdWUlwGirpXpTBGKxGBobGxGNRtHQ0FD4DUsAVVUxNzeHmZmZrIU/x3FoaWlBa2vrqvX+iEQiGBsbK2sbdheWxRCnUharywmXy1XVTlE7hb5i94WmFnieXzUF5NUKqy41kvNUVRUOhwOqqmbJwlYaNLVdKZD8dz4QcZZlWZ8EUhQFTqcTDodDXzwZm3No6rzY+GHs9rQLOu702dWOA2bQIqDYhHW5BXIz6Puavzd1gZuVKnJN3+c7bjSZWOrCsbOzE+3t7bbft1JQi5xqKVGr318URczMzGB+fj7r95TIbGxsXLWJ9eHhYcTj8ZLf/8eXY/jdjnmc2ufF51/RgbsG4vjBU3NgGeCrr+rEUZ35ZfOem0jhPx8IocnD4jdX94FjGTwwlMJ3Hg2h1cfhF6/utex4//4Ts7hnfwJvOKYR1x/VBEXVcN2fRpFWNPzwsm6sa3KV/J0If9sTw43PR5CSF+LvCT0efOz0VjR4stcZxPsURcGn7w1hd3ghRl642Y8PnFped7md51WxHNTpdMLlciGZTJa1b7WKlaRiVQhW55RkIikJXamknRUqzZecTqc+dZwLJLlJvIma/hiG0SfWgEyS38ghA4EAkslk0bypnOkl43kpRTGsXBTDzY0wJhxzIZSU8c5bx6FowHcv7sKWVrflvWT8vnQcXnvTCJJi5rj/32vXosXnWsQrzddxvuPGMIxecCE7J7vYsmXLqi1G1iqnWkrU4jHQNA3JZBLT09OL7puGhga0t7evGPsvu5BlGXv27Clr3WqME3vCaXzi7imQ287aRie+eUEnAu6FJiWr+KQoCm7bk8Df98QRSiqw2ptmD4tzN/jxhmMby1b3KQc7QwJ+/PQchg5OhW5uceE9J7XgqJ5A1Z4pdp9Xxb6enturtXi0mnil+Zw6HA49X0cQRbFqQySVVrksZnvEmylXSbyZrHNogtkqJ2Ynt1+OgpCR1+X7XF5UMXVw0jxkLJwf/J0g54/BHAO0+7OnzDv9Dqxt9aPJqaDJU9yEfKkFciv+asWp982m8eE7p8AA+PGVa9EXWNinXOoV+Y4b1a08Ho/tgVHa782bN9t6z0qCHU61OiuuKwCqqiISiSAUClneeIqiYGZmBrOzs2hubkZbW9uqmzxrbGyEJEmYnp4ueRuaptkK7oWCnNPpXFFFcaD4yYtSQXIthY6x0+ksmmyoqopkMrnimhCKxXJM71YL1KVmlB40dikuRTHWjjxSMRBFsWCxnWGYrGkfOp/G706giW6O45BIJIoms/QauwsThmH0wjyh2nHAjFwTUrlQzgS51VQV+XOSlBAAnfxT0tEISZIWqQU4HA5dxYIWDzR9SNuiCcU66qh1SJKkF8St7q10Oo2xsTGEQiG0tbWhqalpyeNGtbFmzRoMDQ2VfM8+MZwpqp65MTMdfuHmAHbNpPHAYBLfeGQG37+kGy2+haWTucB2VKcHfldGTn13OI0j2t24ZWcEAPDqbcGcMnDmiXGOZXBYmwsvTafRP5OuSGH88q0NuHRLAL97IYq/7o5BUoFnJwS8/uZxvGKDDx84pXWRby7HcfjWRd24vT+Kn/0r8z3u3pfEsxMp/PiyHnhdpSVfSX6w0HPPDr+XJGlVN1quxmYWr9erf6+lfM5aNdWVA0mSChZ1adKHQE3vuZopKUEmSZLOUQrtL3Erh8Nhex1i5keVlgUtBnbXTcYJ8lwF8g6/A2ev9+PBA0ncsjOGT5/dbhkn6DiTXY/P58P/XL4O77xlCADwoTsm8MfXb9H5P02Bmq8jc66GiuHEYyVJKuu6W41xoI7aBRXEc8XnWCyGWCyGQCCAjo6OnD64KxUOhwObNm3C4OBgydOggiDoxZatbcD1RzXiDy9GwQAYiUr48kMz+NIrO+A+yL+s7nGO43D14Y24+vAMN312Ko0bn5vF0LwE5WA4mxdU/GV3HH/ZHYfPyeD4bg/ecUIz2vxLmz8+oiMjr/6PvXH87oUI9s2J+PjdGXn1N5vk1SsFSZLgcrkKWqkZJdSLAZ271YrVNAVP/MHYZLmUDQ2VbvooVjXTaAVG3EJRlEV8imVZPVdJ2y7GVoeK7aU0UZjXcPk+y+disdHlwsbmxetdTdMQS6uLpsynk5kC+kxShqwCUwcL6tnI2IK5OQadByXZs4rnB38Crkz8LXWC3CqfYry/KFd8tM+HV2xM4p+Dcfzq2Vl88bwu/TMcDsei64gGkYxNHmTfBEBvtF2tzTtLiXphfImhaZpeEC8mgJLE+tzcnF4gJw+blQ6GYXRPg7m5OVsPFJJRBIpfSBdb3F3NXjKlIl/xmrw6SX6vjtVVGKeH8HL5DQKl+UflA0265wL5VxMpKvS9KeHp9/v140RT9cDiTmNzLEqlUkVPyjAMA7fbvei1S1ngKudaKKVAbkUUjXKoxn3xeDxQVTVrm5RcVhRFbyqgKXC6V+l+rZRkKbD0zQp1HJqQZRkzMzOYm5srqjAoiiImJiYQCoXQ3t6O5ubmVXOtsiyLtWvXYnJyEvF43FbSZz4N7J8XwTLASb1eACoYhsH7Tm7B4JyIoYiEbzwaxldf1QkHu7A4NcLJMTilz4sHBpN4YoSHIGkYnhfhdTK4cHNuqUsqjJNcJgBsa3Pjpek0dofTuLBCMpksy+JNxzXj+qMa8ZNn5nDfYBKqBjx4gMcjwzwu3xrEO05sXZT8uGJbI07t8+IDf59CUtIQ5lW89qYxfPbsNpy61m97P1RVzVvgoUY8u3xcluWKT23UUXkY78vlOlfUXFcpUAI91/dxuVxQVVW/rgsl22jfSO2GYZi8iTojhySpTaC4NbLVvWb03F4KlHPfFiqQX3N4Ax48kMTjozwm4hLW58ijkHR/KpWCLMvo9gKn9Pnw1BiPUFLGX3fO4cINmQlCOmY06e9yuXTpXeN3MRbEK4HV8qyuo7bB8zymp6eLzuskEgm9MbyjowN+v3/VNHF4PB7ds95ujKLmL6PC22uPbMSzEynsCWf45s5QGv/9WBifPqsdHnfhNajD4cAJXcAJl/QAAIbnRfzyuXnsDKWRPlgl5yUNj46k8OhICk4WOKzVhbce14xtHflVjyoFjmVw+bYGnLnOj988P4/7BpO4Z18Cj43weOMxTbh4S8BS9rgciKIIj8eTM9aSfYjdc0jezsvRLFZtrJbCON1jZnuspUQxDZJ2IQhCziZOyl95vV7IslwwV0rqnm73gmoOrbWs1CtJCYmukVQqZYunWb22VD7JMAwaPRwaPRy2ti1WzFFUDXMpJcvTPJSUMcOrmIyJCPMK0oqGkaiEkah1fPC7WHRl+ZvH0RlwYH1bAC1uDRzs3yvUsKMoStbxfcsJ7Xj4QBxPjSaxKyTgsJZMTlpV1azriBSgkslklpx6LlvQUlDnlAuoS6kvMcbGxhCJRMraRlNTE9ra2nR5l9UAWZYxODioSxEnEom8wbOUrqViSM1Km2Cu9AM4F6webm63G5qmZSVvSgnSS/UdlhKr7TstZXIsF6qR7M4VR+j8FfuZNHUsSZI+hUyJMGpkKnSfGJt9rIrFtKDLVUheymJAJaW3jInIXMgXl40LBmrSoW0ZiSX9jpoeqDDjdDoXLTgqdf/29vaiubm57O3UKmqBUy0nauH7q6qK/v7+spIbHMehra0NLS0tq8qfORqNIhQK6b6xhe7pu/an8IMnQjiiw41vXNCV9bfxmIQP3zmJlKTh6u0NeNsJzTmTFU+O8vjKQzNo93PoDjrx4pSAq7Y34O0n5I4F9+yL4/tPzuHEHi9ueGUHAODpMR5f+ucM+hoc+MkVvSUcgcJIiCr+5/EwnhpL6dKcHgeDfzt6YTLJjP+8fxrPTS4cyzPWePGZczpsfW4uKw6z5UUpU72rqTHRiHrBv7LI9fwvF1b8yHhN2pFwpZjl9Xr1pCaw4IVNXDAXZzEqPZmvHWoQ1DQtZ2xcqmZxSsxVKknvdruhKErWmv+GB0L410QKF28J4IOnd+SMEVZyrJffuB+SCrAMcPP1fXBx3KLzQ+fcKmaZrY/KweGHH75qE5m1wKmWG7VwDGKxGEZGRsrahtfrRXt7O4LB4KopkAOZPC4pjiQSiZKLpeMxCR/8+yTSigaWAVQNuPSwAD56Tl9ZSjqxlIJf75jHE6MpxMXF8YZlgN6gA9ce2YBXblwaX3KGYdAfFvGjJ8PYP5+JjRubnXjvyS3Y3l65XLZVrsCcYyi1wL1a+ddq8k6vhVylx+OpuLWk0WbHCLom7fA0s1ol8Upz/szpdEJVVUueRM0+Ztsf2le3222prgksre2jkZdJioYZXs4qnBsnz6PpwvdAi5c7OG3O6d7mNHXe5negIeDPGSPM8cPn8+Fb/xzHnXtjOKrLi6+d1w6O4/R7kexyjJzfyn6qEjEpGAxi3bp1ZW+nVmGHU9UL40sIRVHQ399fsWDZ0tKCnp6eimyr1qAoChKJBOLxOHw+n/5v6lwtJRgUes9KJAdLkbSwIpF2fdXyYTWSzdXk2VNL8Pl8FfedtCIrRhmdYiaara5hkr40yi6S9GIhGBNuLpcLDMMUbNhZqvuoWqQ23z2T72/UhECyQsZpduq0tEpI5pOQom2VG1s7OjrQ0WGvYLSSsNycarlRC98/EolgbGysIttiWRZ9fX2r9lyKooh4PJ4laxmJRPT7/PP3TWPHlIC3Hd+Mqw9ffAweH+HxtYdnAACfPbsdp6/1WfLGtKzi9TeP6X5oHAP84spetPtzq5Q8Mcrjqw/NYGubC9++qBsAEBUUvP7mzLn9v2v7EHRXr2khnJTxrcfC2BlaeM4EXSzedWIzzt0YWPT6hwYT+O/HZ/VieoOLxY8v70Gjt7h9ND+vyA/PWKAr51mz0ppci0GdV1Ye1JBYip9gvm2aC+60jrIj42q19jJzQ5qQK9T0Y04Y+3w+CIJQcM27nM3X5YJUoegYvjwtfu20BwABAABJREFU4NP3TsPJAv97VR+a88QqY5LY5/PhkcEIvnDfJABga5sbP7pqg+U5zHePVupYbt68eVUNRhhRC5xquVELx2B4eBjxeLwi23K73diwYUNelbaVCpqyjMVi+rpREAREIhFomlbwnr9zbxw/fHoOHANdDv0tJ7TiNdsXcy4jio0liqLgll0J3DkQR5i39iVv9bF41cYAXntUQ9V8ySm+K6qGuwYSuPGFCJIHi/bnbfTjLcc1543HxcLM+9xuN2RZzirulfqsWa0Nl3VUHmSDU0im3A6srm36d74idr5tEMx5T8qbFdqe8X0sy+pKjPmwlLUWO3WJlKTqXuZmqfbphAxeyn8e2YP+5h3+haK5Uaa92cuBO3iMUqkU3G43xueSeOdt45BU4Iuv7MCZm1osp/aB3DL9leDObrcbW7ZsKWsbtYy6x3iNIhaLVbSDyO+3L1+4UsBxHBobG9HYuDCx0tbWhng8jsnJSV1mgiSRqeMp3/FVVVVPvll1W1t1mpHXGHnW0g91v+bqiFoKLGUhjI4zdTOZP7fUhN1q9cRYTd3RtQS67qgjEcgsTDVN00mc3YVLPg+fcro+FUWBpmlZyf1i71eKMXZ8vJeqx61a13YqlYLX67U8f/mmY4hgU3KbzidJpnMcV1RjjxF0LMsl8PF4fFUXxutYfpSrQGQESfWuVrhcLrS2tmb9rr29HTMzMxifmcdL0xkucs6mJvh8nkVNWKev9eGq7Q346+4Y/ueJMNY1dWNLV6OuFEKx0QfglLUBPDSYSSyfu6kB69ozizFN03TrDWqeYhgGbcFMzEmIC3G80cOhJ+jARFzGnrCIE3u9VTs2bX4HvnFBFyaSGr724CSGIhLioopvPz6L3+yI4MOnteLY7oXPP2djAMd1e/HeOyYQTauIiSrecMsYPnhqC87PIxkPQG/0Ik7JcRzS6fQiLliqesFqLSCvtMbdlQBN03QuQKo89HvilXa96+l9Rv5A/y2kjmOE1fkWBEGfSBJFcVEzSb59crvdtqVGl2ItUy2bJpKTJ9Wm4/qc2NYeRf+MgH/sS+Itx7fmXL+rqqp7tQPA6euC2NAyiwNzIvaE03h83yyO6114VhbT8GBHhSofEonEqi2M17H8kGUZiUSiYttzu92rsigOLHBmM29ua2vD1NRUlkoIyRWLoqj//qItATw9nsIz4ym0eDnMpRT8+tlZNHtYXLKt2ZIDUSO48TPpOUW5Olr7AsBbTgnizSd3IZVK4bHhJP74UhQj0QVf8llexZ9ejuFPL8fgdzI4qdeLd57QUnSTYyGQ0h2QkVe/dGsQZ67z4TfPR3DP/gTuH0ziyVEerz+mCZceFixZXp2ei+ShnOs5Vyo3tPPsXimoF/urA+O60ePx6AMcZl5pB2TvaLRoIRQ7dJOLzxntXwRB0KfBi9knYEGJsZh9WKp1jF2u5XWyWN/kwvoma3/zhKjqk+ZzIouJaBpTcQlTCQnTCRmSounF9JemFzcfOFmgM+BAd4ML7T4WPY0edAddOHtjA+7fF8ONO6I4rtsD1nReCzUo8DxfdtMlrSdWi1VzOVidTKVGUckEZiAQOOS6aRmGQUNDA/x+P8bGxqAoCgRBKHqihIJGKSQgV8Etn5dNNVHMBKldGMkkkHkQkCeGUTK9kiimu6yOOswgn2orFDvlbQRd21RQJVDxvdD2csUUVVX15JzdOGHXJ2kpFjfVLjjk2rYoigXlz1RVhcvl0otZ1GVpLqoXS5YlSSo7iUk+las1KVTH8kKSpIomMLu6ug65a5VlWXR2duLh4RQUDVjX5ESre3HzH+HNxzVhTziNXTNpfP3hGfz3RRw8DnZRfN/a4sBDg5n/v3yLdRwxxjM3Mu+PCtlxfFu7GxNxGbtn0lUtjAMZPtYDAT+4rAcvTaXw3SdmEUoqCPMKPn9/CGsaHfjE6W3Y2Jp5LjZ4Ofz+2jX4xsMhPDKSkWL/3pNzeGgoia+8qgssy+rFb3qu0jORvnulPRsZhlm2ZtVqo14Yry5yramKsXsxw+h1T+oU1MDt8/mgqmreRFa+hLUgCPrkj51r3eFwFO0XTFiKwjj5WFYD5uNz9fYgvjYj4PbdUVx/dCsKlX6cTqcuF/q9S9fg1b/dDw3AL56P4IeGwrhRgjQfeJ4vW3UpHo+jra2t5PfXUUc+RKPRijVasyyL7u7uimxrJcHtdmPdunWYn5/XY71VrGYYBh88tRX/fscE5lIKtra6sGdWxPcen0HQCZzcZ79R1epzyKbtjHV+nLEuM1S1fzaNXz0/j10zIsSDVfKkpOGfQzz+OcTDxWb459uPb8am1sWevsXCygu30cPhg6e14sItAfz46TnsmxPxs3/N4559Cbzn5BYcmccHneM43bKOBppUVYUoirqFXb7nYinXdrEqLysN9cJ49ZGL53k8HiiKYovDURFUUZSsphnim4Wu/XxDJsbieLGwo4BkRKl2BsWi0kN3DMMg6OYQdHPYrMfChfW4qmmYP+hvPi9xGJlNZk2fh3kFkgqMxWSMxeh7Z+duBufSGJwT9e07HA4oilLUuq8SxzKRSKClpaXs7ax0HFoZsGWEKIq2F6S5wDAMenp6DtmpVI7jsHbtWgwMDCz3rixbosrOJGk+eDwePUlZzvR7qYuo1Ug061he8Dxv289PURS9oE7FcNoWkFt+iOSSCvljF3udFytFZIVDPWmeTqfhdrv1qfNKkOJKJId4nj/kmtjqWBpEo9GKbcvv96Opqali21tp+OfAHADg1L78xWcHy+BTZ7XhQ//ITFX/5Ok5fOi01kV8fCy2wKU4rjBXJ5n0pKhCUTV9amZ7mxsPDCbRH66+LLgxQXZUlxf/e1UfHhlO4sdPzyGWVjEalfHBO6ewvd2Fj5/Rjs5AZgn5qbM7cO5Yxldd1YAdU2lc96cRfP/SLnQFSu9AL2WN43a7V6UKEbA0zW91LAY1CNtNGhrfQzZAwAJHzQWygMkHOx7TNCleqRxEJcEwzJKuA0/p86I36MB4XMY/9kRx+WH5C090zug8vuVgY9Rnz+mwfF0xKFUJg5BKpfTJ/zrqqDQqOcTT1dWlNykfimhubrZUw8l6jZfDB09txZcfmsHeWRHHd3vw3KSAbzwSxldf1Ylt7aUXpQlWXGpTqxtfeVUXACCaUvDL5+bw1HgKyYOqRaIKvDidxofunALLAGsbnXjtkY04a33xaqVWRXEjtra58e2LunDPvgRu3BHBUETCp++Zxrkb/HjrcU1o8WWekyzLwul0Ip1Ol6QMaEQpPtSrNdau1u+1EkAxoZRpX5ZlkUwmdVUiURQhiqJeHDeDVDbz3YsOh8NWwx7lTEspylopOVYSdvKulQDLMGj1OdDqc2S4Ym/2M09WNYQN/ubhFDCVkDCVkDEZFTEvKHjtUY2GonvmHBd7jCpxLHmerxfGUS+MLxkqSTQ7OzsPebkDksldbpBUMkmsE6goVy6Bs4LD4ahIwKegW4mAWmoBaankn5caq/V7rRTIsqzLFxWbyKTXkYyQ8RySdxhNo3m9Xn36Jx/sdFLakSKyQjVJJmG5PFup0SEfNE0rWlK0WJR7H69du7ZeFK+jaqgUrzzUmy3TsoJ/7gkBAE4pYkKn1efAJ89sx+fvn8Z9g0lsb3fjwi0L8uGJtIIHBheKUE+M8JbybEYE3QeVegCkFAatXjdYlsWxa1jg6TnsnRXhdLkBTS26i9wOchX9zlrnx1nr/Lhtdwy/fSECQdawe0bE228dx0m9HnzktFY0eBw4uc+HP13bh/f/fQqhZMaP7R23TuLtxzfhqsMbLT6xDrs41JvflhtU4C407U0wyrSbuYRRWp28x6kBsxBnLLZAb9eOxwrVXsssdSMLxzK4+vAG/L+n5vCXnfO4aJMXzjyNS5Rkpv9ec4R1LLMz9V7Oc5ZlWWzbtq1e0KijKigm/hQLn8+H5ubmimxrJaOY+/2UNT5csDmAe/YlMBqVcGyXGzum0vjigyF888IurGksv7mAVCGN+VOatm51KPjoGe0AAFFRcNPLcdy3P44wf9AKRAOGIhK+8WgY33w0jDYfhws3B3DtEcGyG304lsHFhwVxxjofbnw+grv3JfDggSSeHOPx+qObcNnWIILeyhW6WJatNxkexKG65qslkDqhKIpFcQgjX7IqAJNSlyiKcLsz68hUKpWXB1JcKGY4juxoy+GV1eYvy3ldW3FmB8ugK+BEV8A6jqdlFeZ32R1ULKXhh9DY2Ije3t6S3rvaUC+MLwE0TatoYfxQK4orioJoNIpYLKYXqEhiYjnBcVzRgYtkf4ySkiShYjfZVY7snNfr1SXSS/nsXKgn7LJRPx7LDyKP5iSi0Z+cVBKMXpAsy+r3CXl5maXUi1mgFdsFWopMZy6U64m9XNvOhWK6XO3CzncoNym8FM0KdRyaEAShYgWFQ41TApkEcCQSAc/zeGaMR1JU0OZ3YnNrccfi6C4P3nhME36zI4KfPDOHTS0uvdv7rn0JCLKGNh+HMK/gsREerzu6Ke/2HCwDn5MBL2mI8BJo/dzh1uB1MkhJKvZMx7GxObN/xIWpKZMWxYqi2JbpZRim4LX06u0NuHxrADe+EMWtu2OQVeCZcQFvuGUc529uxIfO6ECAU/C/V/Xih0/N4s6BjEzcL5+L4OHhJP77gs6yE6jFfpfViLrkZW2AuIjZHsfoT27kcsQhSJWIfkcTP8Z7tRieU2xRnKbEy+VO1S6ML8f9etG2Fvz+xShmkjIeHkrivE2Bsre5VN9DVdV643UdVUMlc5Vut1tfQx8K0DQNiUQC0WgUkiTB6XTaGmR55wnNeGlKwGRCxvZ2N7a0ujAwK+ILD0zjWxd2odVXesqecn7FKJEEXC684xQ/3nVaDwDg3r3z+MOOWYxGJahapnlzhlfwuxej+N2LUQRdLE5d48Vbj21Gg8GX3O4kbIObw7+f2ooLNgfwk3/NY284jV88O4979yfwnpNacFRnbnl1OyilML5aY+6hcm/WMsga0modTvaO1IxpzsOxLJvFK2VZ1ifIgeKGWWgNWUw9o1x7QUK1r7vlyMH7fL6SG8vcjsWNApqm2ZKcL2cKn5pz66gXxpcEqVSqov7MIyMjCAaD6O7uXvUJTVEUMTg4WJMFBvIeKwb59p/IMz38JEnKud188iDGgl++iYZqdOebi4vFopwOp+UAkRTyMXa5XPoEsbHbr14Yrx3wPJ8lhc4wjE7sqHNaVVW94UYQhCzJSY/HU/AapckcYEHutBhCSlPileqEriaxWQ7SVOmiOABbz+Jy7+NKPvfrqMOISiYw0+k09u3bh7a2NrS3t6/6abT5+XmMj4/r/35g7ywA4OReN1gbce6aIxrQH07jqbEUvv7wDL53STfcDha398cBAK85ogE/+9c8hiISJuISeoL5p36Cbg68JCMuKgAyr+VYBltb3dgxJaB/Jq0XxslLMRdcLpcu10zF8lzPsXxTpaS8AmR47FuOY/FvRzXiR8/M4YHBJFQNuHsgivv3R3HFtga85dhGvP+UVpyz3ofP3ReCogEDsxKuvWkc372oC+uai1+zlBJ/V9rinng7JbWADJ92OBxwOp0QBAGaptUL4zUGanRWFGWR1Y7xXNEanaQu6e/FXNtOp1OXIab1RiE+VI4djxVWY2GchYortgXx6+cjuGVXDOdu9NuK+8sNURT19UYddVQKlR7imZ+fRyKRQHd396pXztI0DSMjI4jH4yVvw+tk8dEz2vCpe6bw8DCPD5zSgqQYw0RcxhceCOEbF3TB7yqNmxc7xGMsqhHO6HPjjL4esCyLwYiCnz8zg92hFMSDdCQuqrh3fxL37k/CzTE4vMONdxzfjM0dufkuFfOATE7S+Dw8rM2NH165Hre/NIPf7IhgOCLhM/dO45z1Przt+OayGgSAzKBSKdOYKwnE/+l8EiegfNZyqf/VkRuiKMLv9+v5R3MRmoqkDMPoSkPGXCVNnRcCreloDcmybMH3uVyurNxprWOp6wrVyFUC9rzYy8nb1HOVC1jd2a8aQSWJJiEej2NgYAChUGjRAjuZTGL//v3o7+/HxMQEIpEIJicnV1xSRZZlDA0N1WRRHKicFIgkSbrMiSAIeqLFzsKXCus8z+vboU4yo2dyNa8Bj8deN6fH48kq5tcqOI6Dz+fTvaR5ntcfIgzDgOM48DwPWZb171Kr1+xqBcdxi6bRHA4HvF4vPB4P0um0/v/Gc0NT4UDmnJmbRlwul/47useMYBgGTqdTJ0U8zxcsQjgcGQ8av9+vewVWCtVsyFiOYlk14hUVGYpBud549QaZOqqBSicwaZszMzMYGBhYlNzTNA3hcBh79uzB3r17EQ6HMT09jUgksqIa2wAgkUhkFcVVTcNTo5nGpGJk1I1gGQYfOb0NXQEHppMKvv34LP55IIG5lIJWH4cLNwdx9MEplydGCi+aGw4mPWPp7LhBHpN2fMZFUdSfSZQE8/l8i5ppHQ5HzgW91+uFIAj6dkRRhNPpRFNDAB8/qwt/uHYNTlmTOWayCvxlVwzX3TSGW3fFcGSnF3++vg99DZkkpqhoeP/fJ/HbHfNFfwdBEEqaMqcGxlqG2+2Gz+fTp0VSqZQ+0eX1eiHLMlKplP79V3uzSi3C6XQuuo48Hg88Ho9ul2X0DicYeYuxIE6gRggAll7jlLike5Pn+YJJSbqeaD1SKay2646aFi7eEoTXyWAkKuFf4+U3ptrhqnaLMmbUeWUd1QDP82Vfm2ZIkoSRkREMDw8vioOyLGN0dBT9/f04cOAA4vE4RkdHl9RaoRLQNA2Tk5NlFcUJ29vduO7IjF3Dr56P4COnt6LZw2EoIuErD4UgKfb5djFWZMVAVVWsb2Dw1fM68JfXrcON1/ThFRsC8DsXnhFpRcPzkwLe//dJXPLrffjg3yfw5EgyazvUiEk/qqrC6/Vm8TaOZXHhliB+ekUPLjksAAbAQ0M83nP7BP6yKwpZLX3dUcqaRRCErGJ+rcLr9cLtduv8n5oOBEHQbUvS6fSK+C6rEZQzNMPn8+nNC06n03Iym3gmNTaYOQfFV2ratPoMhmF0y8ZUKgWGYXIWRUk9MxAIQBTFijZTVDtvsNR5iWqpoRXLv+meLxV1TrmA+sR4laGqKqLRaFW2rWkaQqEQIpEIuru74ff7EQqFEA6H9dfMzc1hbm4OABCNRvXOzVpPGqmqipGRkZruYqlm4KUHEBWOKSFpNVlK59KcnDHK6Dkcjqwin12YZQOtYDewGj3OvV5vxaZmKwmSgsqVaDITBXo4rrRiwUoEJSSNCgs0ZUXy58Z7opTri2EYeDweXQ3ASpadktlUdM/XFEGTRbStSsPudUcTScYGASBDsM3383I8M6oV/4ux4nA6nWUnmGu96aeOlYlEIlG15itJkjA8PKyrEgHA2NhY1r0wNTWl///8/Dx6enpWxLWeSqUwMjKS9buBWRHzggKfk9GL2HYQcLH4zNnt+Phdk3hmPIWB2QwnuGJrEE6OwelrfdgxJeDxUT6nPy2BfMbj5sJ428HC+EzpiQmj3zH5zgmCkNOaJ5c6kVGOszXoxdcvXofhUAzfemwGu2ZECLKGXzw3j5t2RvHuE1vwkyt6cePz87hpZwwA8KeXY3h8hMf3L+uG9+DUQz7Y7cSnhBHF+FrkYoXkCI3HnRoua33NthrAcZyuBGa8zkkm3UqJqxSOoGkaXC6XzivNkrOkviXLsn5/5lp/0eQQrUVqoZBtbOomblnpgn2poPPrd7G4eEsQf9kVw807YzjZZlOUGcUWFCshRboSnrV1rDxUY4iHEI/HkUgk0N7ejra2Nr1BkdZhxunHaDSKtrY2dHR01EQ8K4RwOKznWSuB649qxLMTKQzMivj9C1H857nt+Ox903hpOo1vPxbGJ89qs6VwYWfq0A5avBw+fkYrgNaML/lOHvcORDGbypxTRQMG5yV85eEwGITR4efw6iNacOkmZVEhych5vF6vfl0E3Rzed3IrLtgUwI+fmcOesIj/fS6Ce/cn8Z6TmnFMV/YAEcdxum96LlhJUucD5W14nq+YlHSlwTCM7iVtBVVVs/KVlFupF8SqD6/Xq/M54pYsy8LlcunT2sZrqhjLAzOIuwKZWEo2W8bzS+shn8+nf0auz6HrPJVK1QTfMKpyEqckmw6rusZSX9fLvc4s9/PtDjauZtQ+41jhSCQSVZ/UFkURw8PD2LNnT1ZR3AzqzhweHq7piVZN0xYlYmsRSzGBT9Mk5Bvi8/ng9XqzSCVNl+SDLMt6Z2ax8Hg8+gSCJEn65HSlYCx61WrSz26HXF3ibmnAsqw+wWYkBDRlxfN8RYhKOp3OkvnieT7r/BoX7YIg5LW2cDqdSKfT+sR4pRtB7N5D1JhC5Jc8iwVBsCRJS32PulyuqpHNYro7y+0Apa7fOuqoNKqZwCSQKtG+ffvycrFkMol9+/YhFAot++IwH6jgb+ZAT4xmvtsJPV44udJi3KYWF957cgsAICKocHMMLtoSBACc2ucFA2BPWEQ4mZ+nNXozvcqLJsbbMs+VibiMqFA+7yT7DkoukLKQMcYXwxUpWdgecOCbF3bj/13ajXWNTv07fOuxMN721zEc0+3B/7ukG66DIXU0JuPaP47ixYk43G533kW5nWvK5XJlJdrLVfyoFuzeJxzHrYgCwUoHTVSZk4V0nVdqktFsryaKoiXfoMRlPi5C04B0H1U6IWiX91GTM/3QhBrJuC43jPfRq7cF4WCBXTNp7J4p79yqqlqQM9rxG7YCwzDw+XyWKgN11FEOqjnEQ6Bhnj179mBkZCRvDi0cDmNgYACJRKKq+1QuotEopqenK7pNB8vgY6e3wc0x2DElYNdMGp87ux0OFnh0hMfP/zVvi0MsBXdwcRzecHQQv7mmD3e9ZRM+cU4X1ja5wB58fGgAppMKfvb0DF79f2P4t5tG8YOnwkiIi6+BVCq1KPe2udWNb13YhQ+d1opGN4vRqITP3RfCNx6ZQURkdA6rKIo+gZ4vTtp5ThrjeqUVFSoFTdNs8V0aSKrlNdtqATUlGOMdNVlSfr9cKIqSNQwky/KifKQxj1koJtB2SNWq0rB73dE0vTFfmU6ncw7PLHVhvFo1tWKOfbES+rnAcRwCgUDJ719tqK+0q4ylSGASig1eiUQCQ0NDNSutHgqFEIvFlns3CmKpCZJR/kRRFF3Sr9INBD6fT58mImloYKFIb/ScJBQioWaYp5SoE5O66LxeL3w+H3w+37ImN+0+vKkwSySduvhqISG0mrCcx9N4TZjvA6vrxel06tcBXfeVKtybP4fuHY/HU7BBgxJ5Vq+zIllLXRhXVbUqC3pXEVOKJCFcKrZv346tW7fWm2TqqDgURVkyflRo8sL4ulAohFAotAR7ZR+qquZsCH1qLFOoOLXMicELNgfR7M3EKw0aUnLmuLX4HNh+UAqdivC50OjJcKh4OpubB9wc1hwsONuRUy8GxPPS6bReJKeJArvY0OzCDy/vwVfO60CHP5NMDCUVfO6+EL79xCy+eX4HNrccnGpQgU/eE8J3H56wlKkkKyA7z0kzB1UUBV6vFyzL6lLT1Fy6kgrNJHHr9Xp1rz9zg2wd5WO5pqeosJ0L5rU6yXGyLAtFUeDz+fQmzmqA7h0raXkzUqkUXC6XZVOg1T231Il54/63+hw4d4MfAHDLzvKeqTQVlg+kzlQKAoEADj/8cGzcuLGk99dRRz7E4/Eli3/F5h6pmbFWh2R4nsfY2FhVtt3X6MTbjm8GAPz6uXk0ezl85PQ2AMDf9sRxy67i49VSx1hZlnHOGjd+dFk3bn/9Onzzwm4c0eGBQXEdMVHFXQNJXH/TGK75vxF88YFpjEXzF3dYhsH5mwL46RU9uGxrECwDPDLM4x1/GcaNz0wiwS88/8imzvxcdbvd8Pv9tr6PkQtLkgS32w2Xy6Xn9ohXLneez26OJpVK6XLZxCfqzfyVBcuyy+bnbraiMsZdq2uF4zhddVMURbhcrooV7s3QNE3PUxaTJyMrAPP9rKqq5UDSUnP5atQprCxCzaBaTano6enBtm3b0N7eXvI2VhtWTmZgBUJRlIp4zlQDgiBgdHS05rrFeJ7HzMzMcu9GQZSzwK0UBEGo2oRyIRkimh6nhAkV64uF1UOEJtpFUdSnfnmer1p3PBHCQqAHt539oESzUZKxVqfiVyKWU/7JeB6tPMcJVAgnqXcimNQAUmk4HA793hEEoaj4RI0c5vuApJiMWOrrlzqaiTwbixqlxASHw6HL4ufrrmQYpuymp5VUdKljZSEWiy0798iFmZmZikpKVgqhUMhy8TgekzAaleBggRN7y+NR+2bTmE9lnkuiAnzzkbDug3jaQR/uxwsVxr1UGF/8fKOp8XLk1IsBPafKWegf2+3F/17Vh0+c0YaGg/LwQ/MiPnxXCC6OxXVHNuiv/cdAAm/9yxhmI3E91rtcLj0pU+xzh2EYS69nSpBSY2m15QFzFQWNMHpqFgt6tpNKTq1IHK4WlJtgKhfG4o85vhvPM/mwSpKkX9d0PVUDkiTp944kSUU9e0RRtDyWtaBUl0wm9aZyr9eL15/QCQbAk2MpjMXs8z6Px6NPguc7NrmsKYoFy7L1NWQdVcNSDvHYgaZpGB4eXrbiUi5omlb1HOolhwVwQo8Hkgp8+7EwTl/jwztPOFgsfz6C+weLm6Zf7iGow9td+MYFnbj7Hdvxv1d24/Q1XngdC7EsrWh4ZkLAe/42iVf/fhgfuXMCz47n5soBN4f3nNSCH1y+Boe3uyHIGn79fAQf+PsEnp9ciLH0fKSitdvthiRJumR/MXC5XJYKMqIoQpIkvbGUcn7VQjGFd7L+s8MLSdmF+EStKLusFiwnRzdaEgDZeVPzNU2vNdr2kAVrpUHqmYIg6D7nhUC+6la5tVpQ0DGqNlGu0ufzlXz8aFK/UFNYuSpRHMfVeaUJ9extFRGNRms2gQlA9/hZqn00+9hawePxrIgpiFoIxEAmGFNhq1LBrRhyJ0mSTgQpcBcTnFmWhcPhsNUBXOh70YOIEqrFgKZ4U6lUweuNiGM5iWKaXKqjfOTylFkKmBPe5mvTSPKoKG4E+bxWeuHh9XoX3bflxnXz9b4c5MlIno1FDZKJouacYuBwOIq6boqxpqijjuVCrSYwCRMTE0uq+KOqasFYl2tC5MmDheqjOj3wu8pbDv11d+Y7n9Lnhd/JYNdMGr96bh4AcPrazHNjZyidVwq9wZ3hIjHRqjCeiXO7q1wYB6B7H5c7PXLOBj/+cO0avOP4ZngOJkJ3zaTx55djOKbLjYM1c8zwCl775zE8sn9OL/5SrC7muUPcyo6cXL5rhgpnlIwslu97vV6IolgwEU1S9sUmhXKhmo2jhxqWKxlMTcZ0r5HFjRHGa4RstYwgjlTpJKZZOcLO2tyqWC+K4qLrfTlyJNQEkUql0OZScMqazH7esjOaNR1fCBzHIZ1OF8UX616uddQqZFmu2SEeIJM/GRoaWlKVxkL3K8MwVZefZRgGHzq1FQ1uFoPzEn7/YgSv3t6Aqw/PNBZ+/4lZPDtRuNmmHJndSoLnefQ2+3HD+X348/Vr8efr+vDqbUE0eRa4t6IBA7MSvvDgDC7/3TDeeds4bu+PWnKqtQ0svnfFOnzk9FY0eViMxWT8x/0hfO3hGYSS2YqUJL1M57WYZ1m5EsVW26Mmf4/HUxT3I/uMYuSv6XuWm6up5brFSsNyHUu3250lr2/Ok5HqLJBp/rBq2qM8fSVzf+R9Xiqsrm9zrF6OwRRarxobZcjuk5QYilUqo/u9ENxud82qqaxk1FfUVUStJzCBzD46nU50dnZWZfuKomBubg6JRCJL2sbtdiMYDCIYDGYldliWRWtra81KchJqrcMmlUrB4XDoC/VyQNJ8dgMudWbm65yvhvQ7gEXb9Hg8OYtgJJNM+5iLFJhR7jkXBEH336ujdHg8nmU5hsZ7Ilc3n6ZpejIw333I87xOXCux8JJledHC0Q45pKSqcV9qIcZRccYqZhgnv6lTmmVZqKqqd766XC79d8UUxe027dRRx1JCFEVb0w7LhdHRUWzYsKFqsnypVArz8/NZiaBgMAin04lgMLhIlSMQCFhygkrJqIcSMh4ZzsSNfzu6CTNJGV95aAa39cexvd2NM9f5sanFhf1zIp4c5XHhQf9xIxiGgc+R4SRmKXUAuhz7wKwIRdXAsdWNz8YmLlI9KRVXHt6AV28P4jc7orh1dxSyCrwwlQbLAM0eFvOCClUDvvjgDM5Z78MnzlyQdSMJ8XzP/GKabq3ekwuiKFomW/LxV+NzSpIkOByOogpmJIddKsh/vFaS3ysVy5XAZFlWv278fr8+vWUENeY6nc68/EQURV1WvdwpQavP0jRN51PFQFVVMAyTdWzJx924zaUGNUTTMbrm8EY8OZrCgweSeP0xSbT5MjkJ48SUqqr6/UyS8qTeUAilrKfrqGOpsBJylSSrvmHDhqoMz2iahlgshlgspqtjkPeqx+NBMBiE2+3OtmJobcX8/HzF98WIFp8D/35KK7728Axu2RnDib1evOW4JsynFDx4IImvPzyDr72qE4e1WTeI58uFLQfo2ZZZG/B454kteOeJLVAUBXftS+K2/jgm4zI0ZHzJJ+MyfvavCH72rwgaPSzOXufDm45pgteVuQYYhsF5GwM4tc+H378YwR174nh8hMez4ym89qhGXLW9AU5uMVcmS7VczRYcx9mO2eZnnRXMPNbhcORUqaMiIu2HpmlFfUa5z1TK5QqCUG/oKhPLoXThcrn0z3U6nXn5h9vtzpsrFEURHMdVrAhLSmBG2Lleye7LuA3z2qcWcpdGkBIDwe12w+FwQNM0XVXW4XDov1tKrlhvglmM+sR4lSCK4opZCFVD/lJVVczMzGDPnj2Ynp5GMpnUH7BEQMfHx9Hf34/+/v6sY9XS0lJzgc2IWl3kyrKsE5pyUWpShaQvqePePIVBRXc70xnpdDqvZ7LVQz3XQsCqcE9TO5WcurcCTffXPXzKw3I9yI2qATzP57xHaBKsmKmxanbAp9NpW9Nk5mTDUnbn50MxCwtN03SJNJo4pGI4Fc+KQTVko+qoo1KIRqPLvQtFoVryl+l0GqOjo9i/fz/m5ub0+1rTNMiyjNnZWQwNDWH37t3Yt2+f/qxgGAZtbW1Z25pPKfr09Sl95am53NYfg6oBx3R5sKnFhVPX+HDNwame7z05i7GohDPW5pZTJ89g/8FwbSWl3tfohN/FIq1oODC/dEVQaiIsV/GGYRi874we3HTdGpy30Q+WAVQNmBdUGPOWDw3xeMPNo4ilMs9PSZL0xq1AILDI55gK0MVOeRLI486KP6qqumhbuZQJGIZZlOyhIprD4SjI98rlnCTrWZdVLw/LteYsNA1OIJWuQqCmy3IhSdKiazeXn2Mu0NrNCPP9thx8XtO0rGO0vd2NIzrckFXg9v6FyVkqhBOHlGVZtx+y471ZiaaVegKzjmphpfDKalhAapqGeDyO/fv3Y3R0FNFoVF/7UvP79PQ09u3bh/7+fkxPT+vvpYJ5tXH6Wh9etckPDcB3HgtDkDR88NRWHNftgSBr+OKDIYxb2EC43e6ak6An8Dyv+3QDmfzDpVsb8LNX9+Jvb1iHr57Xga2tLjgMj4uooOJvexK49qYxXPvHEXzlnyEMhWPgOA5+F4v3nNyG713SjSM63EgrGm7cEcH775iwnKqnBjSj7LERbrdbn+4uFjT4les9VjkVK9s6+nyyljTus6ZputVQLlTi/ihmQr2OwliOY0gNkkD+PB6pKBQaNKI4WAlVJSsLKLt5cfP+mnnpcl23Vnw31+tkWdZVd+k+J0XMYlDLsX2lox71qgSn04mmpqbl3o2iUaz8pSiKGB4exvT0NOLx+KLij6ZpmJubw969ezE9PW25yDcXYGRZxvT0NAYGBrB//36MjIwgEAjoHnxG4kJkxel0FuXlV2nUalHcCJ7nyz4uxocpTV9RoTvfth0OB7xer97ZyLKsLiPicrnAMEzeoqIVFEXJKQ9EXftWyOVjbgXybKSpIKvvWCmfJiIt5fiPHMqohFRUKTAvNhiGKTsBScn5cmF1PFRVteVLaH4ddcwvN6iZphDKsToAMmS6ruZQRy2jqalpxTwz7Mhfzs/PY2RkBOFwGDzPL+KNkiRhYmICAwMDOZO4xvisaRoEQcDw8DD27duH/fv3IxwOZ0kZvjCjQANwWJsHPc0+cBwHp9Op+4QVi4So4p59Ga9HkrgEgDcd24QjO9xISRq+9vAMju/ObPOFKQEJk1Q6qXWQH3fMojDOMgy2th70GQ8v7XQwNfVVIuHgcrD42JkduOl1G3DyQV93xZTHiwgqXn/LGB466KFJXImUQKjjntYCQIbb2XkGkFy7VVKSpuTNsOKAHo8nJwel5IfL5dLl2Y3gOK5ith3UkOrz+Wriub3SsFyFR2MSM51OV2RdW80JQUEQbBcLjDDfQ8s1kWa2IaBGpjsH4np8roTvvM/nq1vz1FHTaG9vL/yiGkGxFpCapmF8fBwTExOYn59HOp1e9B6e53HgwAEMDw/nvM+NPIAUMAcGBnReSU2D5lwl5ZEcDofOK8vJW7zrxBZ0BhwIJRX89F9zcHIMPnN2Oza3uBBNq/jPB0KYTy3EVvLGruWGGppGtcIx3V58++Ju3Ppv6/CzK7pxSp9Xt+MBgJSs4cmxFN5x6yQu/+0gPn7XJHbNiNjU6sF/X9yLT5/ThRYvh4m4jC88EMJXHgphOpEdh43Nnoqi6DlOyutQA5QdXplv4CHXoILVdZFPmYXU8igfbj6GlbLXoYZTu8NMdSxgudbrtO4AoK9zKpEjKxc0JW2GnYZOq5hhvOaXc7CymHhrZX1pF7U8PLrSUZdSrxIYhkFvby80TVsx3Zijo6Po7u5GU1MT0um0LtlJgYym71RVzfIjog45n8+Hubm5vMUFVdNw+8szuPCwJqjKAklRFCUrUOSTITT6npF/w1IsrsmT+lAA+cMZZT3oGFuRPpL5o9dRBxQlDM0FaafTCYfDAUmSFp1nl8ulS4rkkzoC8stqu91ufZ8URSnKm1pRFP2hTf5CsiyDYZiKdWfR1AGBjl0l5A8PFRilgpYSDocDiqJAVdUsSbB0Oq1Lo9uNEZUgmw6HwzI5L4piQRlampqzus9I9nK55bTM55rkxHw+n94AUG7DUqVsHor1DqujDrtwOp1Yv349Dhw4UDOKDvkgSRKGhobQ09MDr9eLRCKRZX8gCILu9QpAb84kBReaAs7VZGmE1bOTeCuBFGMA4KH9EQDAyb1uPUFHx9ROEuiugThSsoZ1TU69+A0AHMvgU2e144N/n8RIVMJt/XH0NTgwFpPxzDiPczcE9H2iuBM86DEeTyt6c6ER29rdeG5SwO4ZAZdtrf6kkhnEU0qFoijwer2QZRkeVcJ/ntuB6YSMbz8+h12h7GeUBuBbj8/i4VEBXzi3Qy9AU9MDgCwexbKspcwewWi1YeRg5udvrmchkHme+v1+XbqdeGUh0DVPE+TGyZ9KrSnM3Ja+b6038tYKlmv6wnz90DVOSUK6Hu0UV1VVrYiEbq7P5Hm+IK+k4rn5+iOuTMd7ObklyekCwIm9XqxrdGI4KuG+AwJed2xrVqwpFZUqiper2FFHHbnQ0NCANWvWYHR0dLl3pSiQ9DtZQMbj8aw4QpN35uc4PX8phzg7O1vws8x8gtb/ZnsIq+eH2+3Ouv/LsdLzOVl87PRWfPreadw/mMTJfV6csdaPL5zbgU/ePYXJhIwbHgjh6xd0wudklywvWi6KUdPoaXDhP17RAQBIiQp+syOCR4Z5RA82kMpqpln043eOgwXQHXTgym1B/OraDfjVM9O4vT+OJ0dTeG5iAtce0YA3ntgFt5PTeb8xxpuvGVoLmF8HLNjrANBzlbkKf/lylaqq6s9LsoIr5rjQNefxeOBwOKryTDVe+2RZp6pqfVq1SCxXLsiorEU5ea/Xq6saALkHxXKhEg2XTqcz5/pKluUsixszyNqGagNGUGOLJEnLqnRAU+PmY0UNkrlytXbgdDor1vxa55WLwWi13E5WYcRiMTQ2NiIajaKhoaHwGyoAVVUxMDCwIpKYBCsPk1IX2SRPLcsyRFHEj5+exd/3JvDKTQ340ClNuk+iVbDMleBiWRYul0vfH7/frye7CnmwWcHpdIJl2YIP+pXkD232C64UzA0LRrkWSZKy/CjzeZ7T9UTHlBLhdJ2YQYV0SkjSgz5fIblSx4Cu4WonGAt5WNaxgOVSbigUA0qJEfmIYDGgRX6+ZwwRSvP9VawcDy2GltPH1BhbjP5XlYjLXq8XoihWpDGlvb1dT9isdiwHp6olLNf3TyaTOHDgwJJ9XiVg5pW0aC9lCWKcsKR7lgqjxu1ZPSccDgcSgoh/+/MYREXDDy7txvpmlz6RTNvz+/36v3Mp00iKhrffOo65lIKPnNaK8zYF9L9RIffFKR6fvXcaqgac0OPBsxMCTlvjxefO6dBfR1yWl1Rc96dMcvrm69fA48he4D8/mcJ/3B9CZ8CBX17Za/u4lYtqPHfpGTQ4m8a3Hg9jNLq4kBRwsfjBpV1o82cmeqymv6hpzejDSM89q6ZDUkEyXjeU9M6XWKzEMSCuR3Yf1QRNjdQ9yAujWuumfLCKW2aUwnHKvU6L+Uy3262v8ej+orVcoc+ulfWO8Tj9cyiF/340hGYPh99fvxGqXPq1QLGnUt9v06ZNh0QS81DnlMDyHYPJycmiisW1AqtcZanrQY7j9Gel8f1W2zPnK/Oto43xhfx8VVXVhy3s8t8/vJzAH3bMIuhi8YPLutHqc2AiLuETd00hmlZxbJcHXzi3w9JXu1aRr1iWD4qi4G97E7hjTwLTiYwvuRnNHhYn9HgwlZDxcigTz7sDDrz75Facvr5BH67K9Syi82fk6VQMt+JupDzFMIzeQEH56Xwo9RgYQdcX2R9VE3UP8uJQifNaCqpVryhHwruYWgs1XwDIuo45jstq/sj3GVZNLEsJ4z7QmqKcfIcRpDxSie/ncrlw2GGHlb2dlQA7nKoupV5lsCyLjo6O5d4NW7C6cUvpwCGZQJ7n9cnFk9c1gGOAB/bH8O3HwlDUzGdZkYZ0Op1TItjon5tKpXT5GjtyHCTxrWlaUd7cK2mat9rJHWPyg+d5/cFPRImSPZIkWUrJ0BQ2bYdl2ZxFcWDBZ5I8UahAlg+V8l0kOaVqQ1VVnYBXSgpptUIQhGWRCy20CCBZTDtdooqilH2dFiLexjjsdDr1ScxiCa4gCMueWBcEQVeBIF8eoPyOXOrkrlR8PxSSl3UsL/x+PwKBQOEX1hDMvFLTtJKk3SiBxfO8Plnp9Xp1xY58nwlkFoPPTQgQFQ1dAQfWNWX2QRTFrOcuFS3zcY2Hh5KYSylo8XI4e70fAPT4KggCWJbFCWsa8ZbjmgAAO6Yyi9nnJgQI8oJcL8HrYHRPRSs59a2tbjAAphNylmzmUqEayTba5sZWN35x9Xp87YIutPmyn+0JUcVb/jqBO/qjuqe3Oe7LsqzHXpoMy2fdQ+sII6/M5/FMqMRzkLjeUiRvSLnJLi85FLFcnLIYzmBXyrTc67TYiTW6v0g6uNgmYroHlhs8z+s2BGes8aDNx2FeUHDXnvmSt0lTTZX6fizLVmQtW0cd+dDe3r6inhFWfKRUhQa3241UKoVUKqWrFeWKy+b8TD5vWaO1Ia230+m0PhhSLMiK5drtfmxpcyMuqvjeE7PQNA09QSdueGUHPA4GO6YE/M8TYbAryE6l1HwXx3G4cnsjfnFlxpf8C+e2Y3OLE8aegHlBxX2DPF4OiXBxgJPFwen6aXz+7jGEeFVvhrTKAVNOmdYrxuKzFUilivLSpDpZCOXKXAPQ+exSzDvSc7Oe78gPSZKW5RilUqmC9xXlAe2gHI5czAAiqW5SUZ9k/M2qwrkgSdKyFsVpHwjGgni5svqkTlqfFq8u6oXxJcBK8oWsFIgkGuWGFUXBKb1e3HB+HzgGeHiY14vjmqYtKr6T7GIu0OtJNo5QKLHl9Xr1aQ2e53XSQvJwuZoAVtLUP4CqLKQdDoc+sZ+rG42S1W63W5ecJt9OOp80UU4EUlGUqsifrESvRUEQdG+fOqyhquqSx1QiJfmgKEqWt0+xqERxvFhQA9FKi2cAdElR47EqtaBtVh6pFMbGxjA3N1fT3m51rHysBlUCu0lYKjjTe8lHEVjoKDfCigvyPI+nxzPbOKXPm7UPxns2lUrpcdyKR2iahr/szki/v3p7AxqDfn06gAoisiwjnU7j9Sd04bQ1XigqwDJAWtHw7ERq0WcyDIOgi+TUF++7z8Vi7cFC/u6ZpZcyrMYzg/i32+2Govx/9r47zHHy+vqoWrZsT+9td7YDgaXXJXQIvSYhjUB6QkhCOkkgpJGPdEj7pTcgIYTee+9tqbvL1pmd3se2bFmW9P2hubLssT22x/Y0n+fhAWY8svRKet/znnvvuTr2rnfhb2e34suH1cAnJnLC3784jk//bzsURQHHcXZSBN0nut+0DhcjmTV5/VkooJ7KC/HcS4VwOFzyXpoul2vGAGoqW+CZQIki+e6rcuUvzlZrCwkUxFZVFbLbhTPXWdUk/3tj3E7czwWSJCEWixV07jEMA9u2bVswjnVlLEzwPI/a2tq5Po1ZIdf5h3gEzcGSJNlJLVS8kTyHpuKt2c6XuQTuRVG0k42o7ZDAMbj00BqIHIOX+yK4c4vV1nJVjQvfPLIOHAM8tlPBX1/OP7Gn1ChUMsaBLR788uRm3PbBDvz1vOXYv1lK6Ese1QHN8Xg83xPGx2/uxo1vBTERVGzthtqD0n3nOMt2XdO0olmIz3XhQT7Qdd1OJFmIWmupQK4EpQJVLM801yiKknNg3Jnokytyfc9pHp7rQHc+oPvtvObZvCPFcGubmJjA7t27F1TRZylQDoyXAAzDLHgRM5dNMomX9LJRgJTneQiCgH3rOXzrqAbwbGJwPNUETVmVyYsK2dM4e2gQZhIQMmUUhcPhtNnZhcj4KSWKQVTI5oTjuIwCkrMagEQHZy9RnufB83zCfStGpvJCDk4RSV9Iz1wpEQ6HSyry5rLhpoo1l8sFURRnzECn3jplZIYgCHbfRxrLfMaN2jwUYzNqGAZ6e3vR1dW1IJMPylgYcLvdC95qNNs1nwJ6xCmorQolt1ACHgWDaE5I2XfcMPHc7hAA4NC2xA0+VdYCib2mU80xL/dFsGtcg5tncPoe1RmTjcLhML5+dAuafTwo1vLULuscksULn8viugE19WZ1Xa215m0aLn1gvBjrFFXqEKekfcDRnV7c8N42XLRfJQQH/X9nNIozb9iNN3uDdoWMs2+9x+Ox1+piBekWUlWdEyTsOkXfMhJBblalgCAIWXMQZ1U2iffEK9PtESKRyKyq8ZYCYrGY3UbDMAycsVctZJFFTyCG53bnFoh2u91Fs5dVVRXbt2/H4ODggt7XljG/UVtbu6DXhlxEfrfbbetTABKcfpIDETMFg2hdTdYxB0MxnPG3TRhRrTF1/n6m95jnedsZyYm2CgEX7lcJAPjry+PonrB45/7Nbnzh0BoAwH9fH8PNb01mPP58QTECMy0+Hj85dTnuvmgtbrtgFU5a6YVfnP5cGwD+8fII3vufbvzhhRFEo1HbCcU5j+dy3/JBvk4H8wHhcDhr55ulCOJupYIgCDnPg263G4Ig2AVsmfYI1F4sVyylAKxhGLadOrUcyldvzKY1Ub4YHx/H1q1bEQwGi3L8hYiFy34WGPx+f8kz0ecCyX1anNYPiqLYgdFD2jz4xoY6Ozj+82dGYSK1bTotumQlRHBaJzonnEyBRIZhZpycqconFRE2TXPBCAbOiqdCHpNsTEl0SbWAOq3unSCb0VgsZvcWJxRDTFjoAkLZBjMzSlWd4qxUzASy9A2FQlAUxbbSoveG3snktWA22YALeUOVK5yVgjTn0H3JNouVKoSKHbQOBALYunUrJiYmivo9ZSxdLPSEy2zXtOS2D7SuEw9xtt0hvkguRcl4c1BFQDXgd7HYs8ESBJxcxZmQRt+T6jgkOp6w0gu/e+ase97Q8O2jGyGw1nk+0x2GplvzkHPu8k8FxlNZqQPA2rqpwPgcVIwDllhbaC5CnJKSCyjoBwBn71GB/72/Daeslu3PmwB++8Ko/f8k5tC9d6IYzjsLOXAAlG0wM8G5rywm6BmaaY9CyR4kslFLHEoKcbYqc+5NyVEjXzGuENauCwHOBHue5yG7eJy6xgcA2DqWvTuEx+MpekW3aZoYHBzE9u3bi1a5WMbSBsdxqKurm+vTmBWy5SfOJBZn4iVxEQIVelDgKN2cTfyFdC5NN/GxW3oQiJr46H93oD+QOBfPdJ6Z1oZTVvuwb5OEqG7i50+PQDetYx3T6cWFU617/vLyGB7dEco8CPMA2bSyzBXRaNS+j5wexecPrcUtF6zGPRd04oL1laiXuQTFWTeB2zcHccZ1u/CbZ0cQipq2GxG57QCAErU06WKsjwuZV5IFdrkVZGrk4ySZD5JjMOlAcxTpkuRKRAVsdIzk95I4ZT7aOs2NSwHOgDiBxizbuY4KEYvNKzVNw86dO9HX17fgHJ+KgYU7Cy8wLPSq8WxfFsq2JKSbPE3TxCFtHnxzKjj+2I4grnq0L6N1maqq9rFpYkl1fOpxnQyXy2VXGmWDVJYhC2liN03TzoYvFqh3cSobU1p4aQzJYo4yYKm/O6EYCQeLJUONiPlSSK7JBclBhWKAYZgZg6hU6UZ9pTIhGo3aFc+UWDKbbEASRZcKJEmyBWKO48BxHNxut90/nSoP04kOhmGUbF7QdR3d3d0YGBgoyfeVsbTgcrlQWVk516eRN/INsM7EaciCjZwhnHhutzXXHtjiBgMTuq7bnxEEwW4X40TyHLttNIqN/RGwDPD+/Rqy3ri2+zl87uBqAJal4/+mguvO+T9eMZ4mMD5VMb51NApNL33in6qqRRd4KOgnSm683BvGr58bw6M7EtfIs/ayxpGS1sjtKTlRbCkljuUCpw3mQtnTlAr5WEzmCmq7kAnEbbNpC+BMCCInjdkET+l9Wgog7kiBstPX+PDHc5bhYwfU2ByTqvVTIRs7/EIiHA5j69at86JHexmLDzU1NQs6uJXtvOXUUzRNm9EinQJHM/FWmtclkceKGosrmQA+eXsfBhzBcUVRUmo6LMvaiX7pwDIMvnio1W7mnREV/35j0j6vs/fw44y1VnLPL58Zxit9878Fw2wsmrMBBW51XcdHDmzEX85qxR0f6sBlR9aisyrOZ3UTuGdrEO+/sQufvXk7nts5YRc73Pb2JC66tQd9oeIk1i+UoqtMcLaCXCr8YT5hpjFnWRaSJCW0/EqH5IQgURQRi8VmVXC2kNeVXEHjRHtmintQAgklvabT9cmBqFQYGRnBtm3bFnxB4WxRnrVKCK/Xu2D7BueSReJ8yUl4SX7x6cU72BEcf2TbJH46ZaueCmQnwTCM/fepiGMsFoMgCAkWxlS5niuZob7jCxWlyv6hcXWKSc7qchr/5AnX2Xe8GBl1iyUwDsQ3ZRRMXUoEIxOc2bzFAD2zmTbDTtvdbBEOh+1EkdliKVl2G4YB0zRhmqadtOBsc6Hrup14QGuPKIrgOM52qyg1FmL/sDIWBurr6xe9m0g4HE4QjchFxTnvpxoDTdMSOIVpmnh2d9y1CEisgCY79lSbUU3T7DY7d2yxqnCO6vTBx+Y29x63wov2Cosn/ef1cQyFEq2bfS7rOifTWKm3+Hn4RBZR3cT2sbmZV4pR4UPQDROv9oVx7bMjOPefW3D5w4O4f1sQIS3OHd+9zIMjOmTIsjytsovneZv3Exb7+zEbUKUI9dUsj5WFYou62bxDuYqQlBBkGMasK4pN01wyibimadprSSQSQY3XhSZ3vL0bcUpFUSDLss0rBUGYM/G/FK5HZSxNsCy7oKvGs30nnXOrYRh2McdMmCkR0uVy2Wvqlce32pXJhgl86N/bMByK70FZlrWLHkirZBgmq2TLGg9vJ1r+57VRvDNmcUaGYfCx/atwdKcfMQP40WND2Doy/x0miq3lEMLhsH2fD2uXcc0pTbj9g+3wCHHuYwLYPBLFdx4exNn/2orr3wjguR4VwaiBqx7tA+8q/Nq4GALjBOIh5KJYRmKrrmJBUZSM403OQ7mAtOdoNDrrmEKpW2DOJZwthSORCEzTtJPsKY5FLiOkV7pcLgiCYBdalRplJyKgHFkpIRiGQVNTE8bGxjJ+hqDrOiYmJuZF9kYuk2FyMJKC4+lAwfGrnhjCE7sUAMP4yuG14Ll4ZpMzgCTLclb9EAoVjKDsHlpM5sP9yAWUDV/sTXQsFrMrFZLHnqoPdF0Hy7LgOM4ObgHW5oAqOem/C4HFaAsSi8Xs4B5lndGiu1TB83xRA56apkGSJOi6Pi/FKMrQXQoVJE5ST7an6Qhk8s/nanzKmdNlFAuiKKKpqSntZjc50BWJRBAKzX97xWQ4q/J0XbeTJHPBznENA8EYRI7Bfk3xhDyO4+D1emfklYZhoHs0hIe3WZXeZ6zx5nElwEX7VeK7jwxBM4AfPz6Eq09qBjd1KWSlHoim5i4Mw2BtnQsv9ISxaVjFmtq5ERkKuQ7qhok3BiN4YpeCp7uUBBt5gbWq6wGrt+YXD62Zumbd3mtIkmRn5TMMk8D7SIwq5Ny/GLkWCSJUxaDr+pIWSVRVnbFqb7ZwJg2nSuKd6yQFmhsXU4JxNojFYmktSTVNm7a/nav3pMwryygWqqqqMlrmJs9Nk5OT82ZvnO17QYUGpB1Eo9Gs/tY0zWlrA1msq6pqzweiKKJe5nH8Si/u32pxS90EPnZrD/56ZguqZUuCd2o6ueKIDhnH9ITx8PYQrnq0D38+txOIqWAZBl8/ugkjShSv9Ufw3UcG8ZMTG9Hkm9/uMFSVWmzQ2ktzPMswuHDfKvzmeatFT62bRUgzEY6ZCKgGbtg4BgYAxwDbxzT89skeXLKhpaAVnXO93hcD9I5QsC8d11kqoCTvYo4BJeWkmr8X495lvsK5Tpimacc2knkly7JzEgRPBZZlF+U8lAvKgfESg7JCskVdXR36+vqyCgQXE7lM4tRf2kluKDhOfaWTJ+eD2zz45pF1uOrxeHD8m0c1JSyqRLqzmUBSkVvny05B2lyuSRRF6Lq+IKv/ShEYB9LbFNMCEQqFwLIsBEGwPxuLWX3cVFWFy+WCYRgFJZuz6bM330HjRNZbsVhs0V5rJlA/l2IKVM5nkixuTNO0kzzmGvPhHEoBJ9kURTHtejCfxmOpE80yiovq6uqsP2uaJgKBAPr6+uZcyMzlHU0lllGFRSYhjeaJaDSKZ7utDem+TRJcPGMLYzzPz8gHKVhy+0u9MExgn0YJK6pFW+TIhWPt2+SGV2QQjJrYPBLF3zdO4KL1fgCAT8xspQ5Yduov9ISxaUjFGWuz+sqCg6rx8+UbumHizUEVT3aF8HSXgvFI/Hp9IoPOahHvjEShaCZYBvjA+hqcs1aGwMXn0kgkAlmWbdcQ2ltommbbSpMzSyGD44vZnp2qGICymFmK+dEW5qcsLun/RVGcF4m9mTjWYoJz75BurmAYZl7tr8qB8TKKBZZl0dTUlPXnGxoaMDQ0hOHh4Tnfe+Wy30oOxJLbGM156a4lmQMYhoFoNAqGYSAIgh2UYlkW793Lj4e2BUGdb3QTuOi2Hvzt7BawbGqtKxde+akDqvHGQAQDwRh+9UQPvnlsu5XUBBPfPrIOX3+gHzvGNFz+sBUcr5Tmb2VyKedXqq6luf+4FV78c+M4JlUDw2EDHzuwDnUeDv94ZQS9kxpMwL6Ht28OYkLdjQv3r0GtuzD7+8WsE2iaZj/HFANZCrwiGaZpFr31itMxSBCEBN4iCMKc71+WasItx3Ep53Ke5+dciyGUOWXZSn3ew+VyoaOjA+3t7XO+aObScy2VJfZMlsQHt3pw2ZH14FngiV0Krnq0D6JLsqvGyWZC13W4XC6IoghRFFPavTn7owmCYC/E1GM83bW4XC47eYHs0txuN0RRBM/zcLlcc07680EpFyJd16clf0iShGAwCJ7n7aqeaDQKURQhy7ItuimKgkgkUlC7maVgOU5ZaNFodMnY1DjBcVxJn3Fniwjq1TnXmGuyOxfIZE01H8g3x3Hw+/3w+XxzfSpllAHA4l9+vx+rVq1CTU3NnJ5LLnMW8YXkv6efZeLHFEAnG/UjOyvtnrIMwyS0wiCL9lS2hkFVx33vWEmq719faydLiqKYcWPr5JRutxuyx40jlvnt39/8xhge22lV8c9kpQ4Aa+usa940NLdzXK7cSjdMvDEQwe+eH8UFN+/GZQ8O4O4tQYxHDPhdLE5c6cXXj6jBHvUSNvarUDQTy6sE/OI9TTh/Lx9EPnHL6vF4EAqF7B7AZBNI7WYURbHt62ayGMwFVJGx2EF9COd67zlXKHRrp0wgDi/Lsh1YmQ9i2VK594Zh2FpCqrUGwLx5510uF6qqqkr6fJZRRiawLIuGhgasXLlyzlsw5CLup5pjnfphpr9L1rnIBp24I/HLJp+I41dVAADqPFPJnAZw4c09GFcS97Aej8f+e47j0p4HcRy3243aChnfPLoFDIAHtoXwxPYJuN1uq12HyOLKo+vRIHPoC8Rw5SODCGtzn3CVDlQoUyo4x1fgGJyxLs7L//LCENqqJPz9vOX41amt2L8lUWt4bGcIH/1fFy57sB+P7wxB02enDc+npKtiIhwOJ9jZLzWUMslU0zRbk59PlclLhbs4dch08/l84NjkFDbXmtB8wOKPGC0CkJDZ3NyMkZGRglbT5oJ02S6pkLzAk/g4k4B4UKsb3z2+Fd99YDee2KXgew9046tH1MLnlW0RleM4MAyTMOGksrxzuVxgWRbRaNT+HVkiJwe33W73jNaBpaq6LgZ0XU+wgy82nJUOJPIA8axB6vtLn00WyAsZ1JoPAbIyiotiZ2Cm+j6yx5kvoB6486HKqNhwbiwURbF7PTqzZOdyrq6oqEB9fb2dBFRGGfMNLMuisbERuq4jFArNyfuiaVpOlbw8zydwS0pwFAQh4zHC4TAmNBbbRqNgAOxTb3FZnuft4G6yfW4q8eKuTeMIx0wsr3Zh77r4uTgTdJIrQFVVTSlGHNws4t4tgJtnEI6ZuPbZEXRWiXEr9QwV46trXGAZYEjRMazEUOuZm61cNnzSME28PaTiyV0KnupSMBqOj6tXZHFYmwdHdHjwrgYXHt+l4DfPjyEYNcCzwPv2qsC5e1ZA4KxKcOez4vxvGl9RcuO1IR1VbhU7RsZwZIeccC6F7OG4mPpBzoSl1KrFiVIL1ZToMZ+wFPgkANsZAYgnbMmybCfXAHNfTdPc3Ay/378kkr3LWJhwuVxoa2tDT08PIpHInMwfudgVU5Jbsp5IzjOZOI6TM0ejUbswgfroUsIlx3E4d52M+9+ZwJCi4+AWCc/1RKAZwAU39+DGD7pR4fFMs9kljuF05hEEATzP2044hFWVDM7Z04+b3pzEz57ox5paF7xT00S1h8f3jm3AV+/rxzsjUfz4iSF856h68Oz83JuWkluFw+EEh9Mz96rFja9PQNVNmAC+/+Bu/PaMNuzZKOPqk73YORTAzW9N4O4tQZD681q/itf6VcgCg2NXeHHCCi+WVeUe+KM9yFxp/KUGuXUtpaIOURRLqkmzLGvPF/MJyXv5xQqnphCJRMBxHGRZTuD5c/n8C4KAtrY2SJI05/x2vqA8CgsIVVVVWLlyJRobG+fsHLK1gXdm/Xk8HrAsa1e0zhRM2reexxXHtYBngSe7FPz06VHohmkTT6r0AeJZLqkmfcMwEAqFIAgCPB6P/U8kEoGqqpAkCR6PB4IgIBwOzzhJ51Ixv9RB1vM00SZvjiKRCFiWte2oybKR7lEhiXGqCvbFDHq2yygeUrWDmA9YKnNUKmHQeT/mWjicmJjA9u3bsXv37nn5nJRRBmDNY62trVi9evWcrpHZvq8kKHAcB4/HY1e0ZhPUf7bb2oiuq3OhUrIqjHmeRyQSsasXiFeSs40Tmm7i5jfHAADn7FkJt9sNj8cDWZbtoCH1LSRhVVGUtOLs+iY33IIVFF9ZLSISM/Gjx4cgTlGfTIFxt8BiWaU1189l1TjZlU/7+VQw/A8vjuLCW3rw9fsHcMfmAEbDOmSRxXErZFx5TD3+eU4rLjm0Bu0VAn742DB+8fQIglEDK6tF/PI9TTh/78oE63S6z06xwTRNbB5W8fsXRnHev7bgsvt245Lbu3D1E8O4+olBuFwu+54UUpBaKuIlgarflhJKuXZzHDcvEw+WgngJJLqPEKhtD2GukwR6e3uxbds2jI2Nzel5lFFGJrhcLnR2dmLlypVz8v3UWi5bkN7kcrnswHYkEsmqvY7X67X/ngqAKEmbEgNisRgafQJOmKoaj5nAsZ0Wb9IM4L3Xb8PwRMg+b9LBqACIeBa5Z6YLcn1w70p0VgmYVA385PG+hPWrxS/giqPr4eIYvNQbwTXPjszbvSkFkEoFmvc9Hg9c0HD8Sq/1cw7oD8Zw7bPDYBgGDMNgeb0fnzukDtec3gEuiQ6FNBO3bwrg4rv6cOk9fbj3nQCUaG5rxlLjWEtFsyKU+v5ScnYZc4NYLJZwz6kdLz33c92eR9M07NixA9u3b18yXH8mlAPjCxCBQKCk38eyrC0aUiZkNuB53q7kydU65PBlflx+TJNlq74ziCvv70LMMO0+ygS3250gJpCdolOsI8GSRFT6XSQSyVpUBRY+YYlEIhBFsWREhOO4jJWbFBSnZAm6P7qu28L0UgpoFxJzJeBwHGe3OVisoISO+YilUsXmnMdpTqOqTUmS5kUGsmEYqK2tXfDrRhmLH3PRDoLWCUVRwLJsVu+Jrut265Vcg0hP7rB484bOClvAJAHOmVxJyXzJPWef2h3BiKKjxsPh8FbLoSQWiyEUCiESidi8WFGUrNxEBI7BQS0Wv1ldI6LazaF7QsPtmy2r9skZBLW1ddb3bRqeW9HDORdvHlbxp5dG8bFbevDV+/px+6YARhTdqqTplHHF0fX41zmt+OKhtdi/2Q2eBe57J4DP3tmLF3vD4FnggvWV+NlJjSkrbshhIBqNomdSw3Ubx/HJ23vx5Xv7cefmACYiBmTeEpsB4PFdYVxxf7d9bwVBgCiKBbFwNAxjSfHTubpe6tlKe7tSopSi7XzlzIZhzHmiYSlAe1C65+QiR0lTbrd7XvB+juNQUVEx16dRRhkzotRaJWBxNdM0EQwGs17nyRZdVdWcg0ixWMx2szFNE4ZhwDAMiKJot34ELG3ynHUyWAZ4qTeCk1f7cfRyy9FG0018+KZuDI1P2lxFURTbejcWi9ltBjNB4Bh8+fBaCKwV/L5nqu0PYU2tC984sg4sAzy8PYS/vzqe07WWCoZhTEtKKiZUVU1wxDljrQ8sA0R1gAHwyLYA7nprxHYPMQwDy/3AZw6uBQBwDNBemcgVtoxE8evnRvGhm7rxy2eG8dZgJKtEhKWWgBgOh+eE+5CDbamLiErtzDbXyXzpMB80ulLA2d6UEp8oWE6t1eYapmnC7/fP2z1IqVEOjC9AlGqzTj1sACSIkEQiMp2Hy+XK2Z7T6/WCZVm70ma/RhGXHVkHgWXwZJeCnz09gkBISZhQFUWxK78Ba+LRdd22RSeCQZmW9Df5jOFi6N9MfetK0dtlJqGdyK+TBPM8D1VVbXeBQvWhyaZn1GJCpt7LhQbDMLZwlvzelQql7Nkzn+eA+UqCiwFFUeB2uxMqrUg8mA8tL8qJPWUsFGTqZVhouFwuW4R0WpFTAmam88jVapg4bDBq4LV+i4/s18DbgXiPw76SRCuaQ6l6CLDEjJtet6r0TlsT73VNgTriMLliw3Krn+HLfRF8/YhacAzwYo91nqGoAd1If8x1tda5vT2HFeOmaWLLsIpfP9GDi27pwZfv7cetbwcwpOhwCwyOXi7jO0fV4V/ntuFLh9XiwBa3XQE+EIzhOw8N4trnRqFoJtbUirj2lGact1cFuDQWn+MRHTdtHMIX7+rBp27vxQ2vT6AvEIOLY3DUMhnfPboe1723Hb87Ne6q9XR3GN99uN+uAitkv/H5WnFVLNB+qxSgnohOS9tSci9ykygV5uuzRIGZpQCax8laWVVVW4+YL1akfr9/Se1ly1i4KKXQ7na77URL4nC0zmdas6gSOJf3m7QqAHZVuHNtlCQJ0Wg0Yf2IRCJYVuvFsSstzvefNybx5cNrcUS7pdOouomP/K8XYU23/y4f97+OShGfPLgeAPDnl8aweyJxL3xgixufP8TqI3vTm5O4fdNkTscvFQzDQDgctvf4xUSyftTkE3BIm3VfVlRbz/Bvnh3G7gmrWp9aQZ64woNDWt3QTUDXDfzo+CYc0uqGk71GDeDBbSF87f4BfOaOXtz81iTGI+n1KtM0l5zjo2EYJVvTSJMxDMN+R0uZcFnKe8swzLxI5kuFpZBsSYhEInC73ZAkyU6ap/jGfHGJKidbxrF0nsxFhGIHPyRJsoliug0xvczUr9uZZZlPf1eGYaBpmm0ZFI1Goes6Dmr14PJjm/C9h/rwxM4QDMPEV4+oTeiNE4lEIElSQhCCgnOmaUKW5YTzoe9ygmVZcBwHwzBSBtmox082gQ6qlHcGB03TnDcba8C6f6Io2qJTsUCZuLFYzB5jAHZAnO55poo1CoDNdvyc9ptLAVTJVchrdrlcdu8uXdftjW/yd5QyUF2IZyNbUM+w+Qhni4mlgvk0pyZDVVXour5kqvjLWLjQdb3oyUwejwexWCxtRQ5VgVPAmt4f59/nupYJggDTNPFynwrdtETDFr8AXddhmmZaMSYWiyEWi0GWZaiqiue7Atg5rsHNMzhplc/u2+Ycs1TvubPiJ1Xg69BlFRC5AfQHY3ALLC7crwp/eilukxuMGqiQ4jafzu9Y384DT49g22gUmm4mWI4XE6ZpYttoFE/sUvDkrhAGQvF75OYZHLbMh0NbJezXJEFMcU6GaeLuLUH87ZUxRGImRI7Bh/epxOlrfSkD4pGYgWe7w3hkRxCv9EVAuQIsA+zX7MHxqypwxHI/3IIVRNV1HW0sgz+c3oRP3t4HAHihJ4LvPNiP7x8XD5jHYrGs+5CmA4lqpeQ7cw1VVfPa46UDy7JwuVz2vsy5F5vLRD9BEEoWEJ7PfUWX2r6J5v75iqV0L8pY2Cj2/E3OguRmmQrEN6ldX7Kbj8vlynnuNU3TbhdpmiY4jrPbMSbzwuRzOf9dlXho6ySe361gy7CKbxxZhx8+NohnusNQdRMf/l8Pbjx/uV21lswbGYaxeWC6eerUNV48uWMCG/sj+NlTw/jJSY0JmunxK7wYC+v4x6vj+OOLY2is8OCoFX779/NpjqGilkJrWckgnZGSo85fX4enu3Zh53gUezW48cZAGFc/OYSfndQEOFp5fv6QGmy5qw89AR2P7wjgh+/pwNYBK+HggW0hRPX4/ds9GcNfXh7D318Zw8FtHpywwot9m6RpvHe+JskVC8XorU7vu9MJJl0CTKk4fKkD1RSInY+YzxyrGJiv94EQCoXmddFXKVEOjC9AFFPAzDXIRJO8IAjged5ehHIlxDzP21WuZLFNhPXQDh++eaSGqx4fwlNdCpinhvGVw+PB8SgjQpiy3wYAHQx2jESwc1yDCeCMd3kSFj0SRGkxJAHGec7ORdqZ9Upjn6oHpWmaCZlAThCZnU8CGlVrFZNwUtZnOmT73WS3M5seGEttIQbiGdOz7THDsiwEQZh2nHRjWsqxLuV30SZ8LpFuHpkL+61CPFuLGaFQCH6/f+YPllHGHKKYcwdV5GTLMahCD4Bd0Q3kJ9ZRsO253dbfHtxqJTZyHAdVVe3AtSiKCTyFkhupOv3WTZYl5QkrvfCKrJ3M5wxUh8PhBOcUCtKmC+6TNe9+zRKe7Q7j6W4FFx1Yjy2jMTw+Zfs+pvFoqHSBZdlp11/JmaiUOIxHdGwdjWJdXfE2taZpYvuYhid2hfDkLgX9wfiaK/GWJfwRHTL2b5bg4q2kgVQVt70BDdc8M4I3Bq01Y896Fy45pAYt/kQHJ90w8Wp/BI/uCOGZbgWRWFwoXFUj4ujlMjZ0yKhyTyVaahEoU3FahmHgcrnQ7Af+dGYLPnFrD0wAr/Sr+Mb9/fjxCVZwnBL7ZsvJXS7XvBKSiw0SbVmWnXXgw+VyIRaLZb3nLJVgTH1mSwHa+84laP5PHl+qwCwl6J2cT3vl+QRyN1lKdrtlLEyUQqvMdv+vaRo0TQPDMJBl2f67fPbz1FaEKprpOmndoJZeVJXqPOd2ycQxK/x4cOsk/vNmAN95twvfenc9rnx4AC/0RhCJmXjfv3fgH2c1wy3yCIfDEATB5pwUlCcQh6WkMkpk+vpRTfjEzbvwzmgUN70dwoUH1NnnyTAMPrSfiIkocNtb4/jRIz2QmBj2bpQSxna+wFmRr2la0dYG5zUv9wN71Lnw1pCKZRUcusdZbB/T8NdXxvDJA6rtz1VIHL58eA2+/eAg7t0axH7NIzhubS0+4xfwwX0qce87QdyxKYCxqSpxBoBuAk93KXi6S0Gth8PxK7w4boUXDd64CwHP80tKs4xEIgXTouk4zuTNTGNZquKF5NavxUSxE0myQTqtci7ObT4nn84HKIqC6urqmT+4BFAOjC9AVFVVYWJioijHzpdwzLYimuM42y7vnBt2Qo2Z4FkGAgu4eAZekUOLX8Su8Sie3KVgNDyIzx1Qifu3h3DXlgCO6/QiogM7xjV0j6t2VUmLX8DxK7z2Zpt6IIfD4bQVDzzP279LnsAZhrEDtLTQUvVQJnHDNE3wPG8HkubTpl9RFDvQX8rFKleSQHY7+Ypx0Wi0oJUuCwWzJdeUdZlLALRUAdNiEyyO4+yNZ6rgxGyR7fMsiqI9x1CmOsdxdj+q5MBOKUA91cpID0VRyoHxMuY9qG/p6OhowY8tCMKsAj+z3cwqkSiedwTGib8Rb6NqH1EU7b7jPM/b82mvwuKlnhBYBjhjrd+uKlFV1U6OdLospQPxHQoa02cPb5etwHiXgg/tE8XFB1biqZ0B6CZwzZO9+MmJjSkrqRmGwZpaEc/tDmPrmI496pmCzsemaWLHuIYnd4XwxC4FfYE4j3BxDA5qdeOIDg/2b3ZD4hMr76nqktapQDCEOzcH8I9Xx6HqJiSewQX7VuKU1T6wjqDcOyNRPLozhMd3hjAeia+LTV4eRy2XcdRyeVoQPdW4EPdo9PL4+1ktuOAWKzj+xqCKr9zbh5+e1AQg3nJmNuv6UuOTQLzX+2zGLZ+/XwzBQEqS5jgODMPAMIyCC+DZ8kpyQKO5yO12wzRN27Z+LvapNCZlpAYlm5eqVVYZZeQLn89XtIKQfNcCCizPRp+IxWI2d1BV1XYeoiA2wzCIRqMJDpjOQPx79/Th4W2TeK47hK0jPqyp9+D/nbocX71zJ17qDSOsmbjgll7894MrwcHIyDHIKY6CxrSm1rg5fPHwBvzwkT5c/+oI9qkXsK7OldCO6KL1fgwFo3i6S8EPHhvEj09oRGeVaLfLpOucL4hEInafXl3Xi35uZ+3hx1uPDeGxXQouPrAaVz05jNs3BbC+UcJBrfH5d59GN87Z04+b3pzENc+OYFWNiLYaL4AI3rtXBc5a58djO0O49e1J7ByP30ueAYYVHTe8PoF/vz6B9U0Sjl/hxaFtHng84pIKjAPxVj2z2fPlE3wuxTg793zFABX7FUurpO+YiZtRcg7NHRRboMSkuQiKJzv4ljEdubSoW+woB8YXIILBYFGOO5sJSxQLs4gbhoGwZol7Ud1EVAdCmonRcOJk/NZgBJ+7u9/+/3u3Jo6Jz8Wis1rCyhqXbaVOkzr1GCfySkIlkVtN0+wFhsaD47iECiIC9VfOhqCpqgqXy2ULsjzPJ/S2nEuQkFnKrKpcv4fOzzlelAFMtvkzbcCWYmBc1/W8M4CpV1auQlWpnulifA/DMDa5LnblCs1DlPHtfDadhDIajSbMMc5NPW28Swki+WWymRllslnGQoBpmggEAgU/7myrSmfDKTmOg6Io4FjgB8fW4+XeMFbViNP6gtOc6wwI0ZxsGAZueGUQAHDUCj+W1fvtY3u9XgSDwYTKaKoCB6y5nYJfLMsiGAzaHJuuy+Vy4dB2Bvwzw+ia0NA9oaGtQkBbhYCd4xq2jETx79cn8MF9KlNe47o6F57bHcbbQxGcsdZrW6Hly+FM08Succ22Se9JCoYf0OLGhg4PDmiZHgxPBVVV0T2h4dfPj+HNAYt/7N0o4ZJDqtHotQLcfQENj+4I4dEdid/nd7HY0CHj6OUy1tSKWa01qXhOtczjn+e24MM3WcHxTcNRfOmePvziPVZwnFrOAPG+g8QpGYZJa4NP0DRtSTqnKIqS9/udb1uEUglqxeBTNB9EIpGi2nXzPA9d1+3ERWpLRnAmVSa/K/T/FLgv9TNNDiHzYU88n+Gcs8ooY74iEokUZf88m/YOqZzvcoFz7aJ/67pur4WkHzpdR2KxGBRTwOiEimoRaPbxCVXjVzb5oOs6fnraclx6x0680qtA0Uy897qt+Nd5bajwyhaX5ThbqyR+Qv1rnXM5neOhLSKOWibj0Z0h/PypYfzpvBUJ48axDL5yeC0ujwzgjUEV3314ED85sRENXt7upc1xHCRJgqqq8yJQS4lBpMkWU887qMWNZh+P3kAMoxEdZ6z14bZNAfzymRFce4qIGk88hPKhfSqxsT+Cd0ai+NlTw/jR8TzcUrz90QmrOJywyo9X+yP435sTeKlHARkheQQGimbilb4IXumLwO9icewKH47t9GBZpZjq1BYt8tWUiLPkqnOWKlBbLAcAt9ttc7xiJhR6PB5omgZJkuykFOJpDMPYvdOT+2Y7uS65aJQaNF+WkR6kMyc7IS9FlAPjCxCTk5MFP+ZcV01QZmU4HMaySgGjio6oYSBmAIYJuwJ8Jkg8g7W1Lpy+1oeD2+QEa3dnADvZYoUmblmWASQGnlwul13N7gRVamZLsp39Tuh7ieTOF1EtFckuBvIlCTMJvjM9x/NlnEuNfEhBvnPCfLPhygVEMkslwCb3HCIbWKrQz+YdoXMlwTO5h1oxQAH9pZZkkivC4XC5z3gZ8x6qqhblXZ5N64nZVpoDsDfra2oZrKmdbjVuGIbdi464Af3b7XajaziAx3dayS1nrJZt60ync4dzjnaue85z93g807L4aX2VOGCfRgkv9UbwTLeClfX1qPHwdmXJv1+fwNo6F/Zvdk87/7VT1/RGv2IL0MThkgNimUBOTE/sCmH3ZPx6RI7BAc1WZfiBLW64hZmD4QTdMHHL25O4buM4NAPwCCwu2q8SJ670YlI1cOfmAB7ZEcTm4fg4uTgGh7S5cdQyGfs2uxP6YmaDdDynUuJxw7kt+MD/emCYwDsjUVx8Zy9+fWozgMw2/STAZnqOl+r8nqsNOPGbfPgVuYqVAoXszehMtCzF+VNg2TnG1BpC07Ss9kC6rtuBGFEUc2qFkS/IrYPm7DLSIxQKoba2dq5Po4wyMqIYWuVsW0/MNpiqaRrcbjdisVjCcTwej120xHEcotGonTz52M4QfvXMCPZplPC945rAMIxdNf5MVwhv9QWwZ7MfpmniB8fW4xv3D+D1gTBCmokP39SNf5zTBhfPJiTqk9uRruv2WkUt75xz9acPqsabgxH0BWO45okefP6QmoTrETkG3z6qHl+/vx+7xjVc8fAArj6xCY1VXvs4VGU/H+yZCbqu24VJxQrYcyyDM9f58dvnR3HrpgB+c0oTXh+IYPuYhp89PYLvH1NvuznxLIOvHlGLL9zVhzcGVfz3jQm8710V0465d72Ivevr0Kcw+O/rI3h4WwDKVDGYLDAwAUyqBm55awK3vDWBNbUijl/hxZHLZHhy4N8LFfncS3KEzXVeyCeQni8KrT1TomUptdbk4h1RFNMmWaaCsz0tzV3FLuohPVoQMjuNlWHtg8uBcYAxl1Bq7uTkJCoqKjAxMbGg7U1HR0fR29tb0GPOhlzMtvezExzHwTRNW2hy9mzUNA2maUKSJDy8ZRhXPT4CE5bgpsYM6ElPMssArX4eG5b78Z6VblRKvG0d59zoO6/dWQFBE6osy9Mq/yh4lem6nRndTisl+l2ySKppGniet8W9uSSg84kA5wqnG0AqLLVeI/lUM+V7/6k6rlQWjIXocwkgwUa3lCjGe0aJPMXKzKT3ZylWyeWDZcuWwev1zvVpFAWLhVPli8Vy/aZpYufOnQV1OJjt/FDIuZG4nMvlsluy0Frl7Gfu/G/TNPG7Z/px0xvj2KdRwg+Pa7A/w/M8DMOAYRh2dZBpmrbFOhDnlcl8w3kM4oT3vhPAr58bxepaCb88uQlXPz6IR3eGsLZWxKbhKHwii1+d3ITmSsneuLIsi5GJAN777y7oJvCXs1rQVi3b38+yrH29xKupKh4AuifiNuldEw6nEhZTwXAZB7W68xLjdo5H8atnRvDOiMXB9muS8IkDqrA7CNy/ZRwv94Ztvs4yVmLA0ctlHNLmmZX4N1NSXjASs4PjANDu5/Hb01uyPnYkEkmZdFYoHrKQkG/Vdz5BiVJz9kLNPbkmqBQKxXgei70npOMv5L1nqcBxHNauXbsoq6AWC6eaDRbLGMRiMWzatKmgx5zt/FDIQCpxAgr0EAcktyLA0kR2T0TxmTt6YZjAr05rx+pqiz/+/JlRPLR1Eod1eHHZhpoErfFr9/XjrSGLy/ldLP52diskgbPndec4UJA8OdEesOaKt4Y1fOWubpgAvvPuOhzclug2IUkSRsI6Pn/rTgyGYlhTK+KHxzVA4tlpazYlShF/TuVKUko4+68XA5GYgYtu6cWkquMbG2qxrFLEF+7ug6qb+Mj6Srx3r8Tg90Pbg/jF0yNgGeDqExqxtm56Qi6BYRiETQE3bRzE3VsCmFSte+viGdS4OfQHYqBVXOIZbOjw4ISVXqytdS3KuZ9hmJwTomezzyw11ygEjyWr8lJzpGLofbkWF+YKspWnIsT54Hgxn1FVVYWWluz2wwsNuXCqxZ9+tAhRaAut2dqgU/A6F3g8HrjdbrhcLkiSlHAMysakAGc4HLb7QwNW1tGRnZW4/Oh6CCwDRTNwSLuMy4+qwyGtbvhdU1aZJtA1EcN1r47iQzf14Pwbu3HZPbvwxNbRBNGAsuJlWbbPiyqIZFm2iS/ZVJJly0xBcUVRoCjKtKA4MN2qj6oJyIZkrq3SFEVJS7zo+mcLsq4vNMg2Px0WI6FMBUEQ8rLZno1lJfV+KhVmey9ZlrXHKFfCKooi3G63PWfMl+dKVdW85uRs4CTH8+V65zvKduplzHcwDFNwvjFbjpBP9r8kSfB4PPac7ITb7bbnLl3XEYlEEr7DybkYhkFIM3D3Zqvi6ew9KxLEiFgsZs9/VF3pdOqg5DCyZXeek6IokGXZTvLkeR6HtHnAMsCW4Qj6JqPwuSz+sq7OhVXVIgJRAz9+YggxEzY/NAwDLo5BZ5UVKN86picIDGQ5qaqqfX7bBgO46e0QLr6zF5+5oxfXvTaBrgkNPGvZRn75sBpcf24bvn1UPY5annuFSsww8e/Xx/HFu/vwzkgUssDgrHU+VEgsLr2nHz98pA8v9FhB8ZXVIj6xfxX+fnYrvn9sA05YXQmva3br1kx53l6Jx/XntICbWrq6JmP41G27szo2uQWkgmEYaX+32CBJUl5V35T8mw/mSnTPF7RfJMeYXEDzhMfjsfecuaIYDgbF3JOWg+G5Qdf1clJqGfMe1A6skJhNtXeyw082kCTJXvPcbnfCOk/W5oZhIBaL2XwrGZ11Xpy4yhLj//ziMHRdhyRJOH+fKjAAnt4VxPbRxODy1Sc2YlW1pXlOqgYuvHk3WEEEz/PweDy2E4koirYbpa7r9u8Jbrcba6pYnLXO+v5rnh3BWDixtUYkEoHMaLjymHr4RBabh6P4f08MQzfMaZWW0WgUqqoiEonYvJJaT84FNE1L+4xRRflsIPEsztyzCgBw81uTaPHz+PRB1QCAf20cx6ahxPt9zHIZ717mgWECP3lqGKFo+gQ10zQhIYoL9qvBX85qwecOqkaLj4caM9EbiIFhgM4qAfUyh0jMxAPbQvjqfQP47J19uPmtSUxEFhYvSgfaI82kqxcSoiiWnHPMtg6VdMZcz5vGl3hlPu9EMRJ/yRmzGFXK1LKW5vullricD8oc3EI5ML4AUQyi6fF48rYwy2WDRoEoIlREsCizh2zgqArduZBQX27AEiY3rKjCZe+uA88CT+0K4ZGdEXzjyDpcf14r/nVuC96/lx8dFQLIjTEQNfDc7jC++8ggTvzzZlx8Vx/u2aogpls266FQyLZComqgSCQCnuftCdztdtu9wdONGYmfhFQBJLKOz4S5FtucY+92u+1rJTsnCrxKkpRzkIxl2aJadmQi6ZFIZNEH9RiGgWEYefWwz3cjQe9FKZGvcCiKor25zOecaSMai8USNoe5vq/FMmwpdK8YItaqqib0FSpjZpQD42UsBOQ7l6ZDNBqFx+PJax6SJCknAdPZN5cCx+Fw2OZYTttFZ2JfLBZLmLOdDkG3bByEohlYViViv0bXtMQpqjwnUKUDJXySC0k4HLarmOnflLxH/7TU+LHHVGXJi/0aqjyWGKloJr5xZB18IostI1H87pmBaddOFSmv94XsRFMnegMabnxjAp+/qxefur0Xf3tpGDvHrWD4gS1ufOmwGvzr3DZcfnQ9ju70wiPmty3cPhrFpff04V8bJxAzgEYvB55lcMvbATyyQ0E4ZqLJJ+B9e1Xgd6c149rTWnH+/o2o90v2vTAMAy6XK+/nBpg54dIr8fjP+1pALdJ7Ajo+fmt2wfFMQc6lYL5GFS+5BuVm48Yzm4B6vshHnKU+i1Qlnk/g0uPx2Na4iqJAVVVIkpSTDWQxW9wU+rg8z0+rfloK71EhUOaVZSwEFLo1AsdxdmuafP42F9Cel9Y84nLElSkQTRWJBE3T7M9QwPoj+9dCYIHX+hS8NWppB41uYEOHxVFveH3cboND+MXJzVhRbR1nQjVw/vVbYbJW8DAUCtkJmlQ8RPbEZHtOVu6iKOIThzZieZWICdXANc+O2M6cTp7dViHge8c3Q+QYvNATxq+fG0EoFLJ1z3Sg4PR8sCt2ajuk0bAsayc15KNvnblXNQQW2DISxVtDKo7rdAS/nxxKCH4zDIPPHlSDBpnDQDCG3z0/mvHYdM8knsV7Vvvwu9Ob8Z2j6vCuBhd0E9g+pmEwpKOzSsA+DS6IrOX29JeXx3DBzbtx1eNDeKk3DD3bfqPzEKSZ55q04kx2zhWlTuTIt+Ka5jtRFPNKtKTvBuL9v2l+yEXDK1axTTGOLUnStCSLMq+cGdm271zsKAfGFyAKHVSkfmRkj5sLJEnKaaJOV2lAgRw6F6qydtoiUpDPWTn+7lU1uOKYRvAs8MTOAK5+Yhgxw0SlxOND66vwm9OacdsH2vHdo+twcKsb3inRTzeBnWNR/OOVEXzgPzvwVs+4/T1EfKnqR1VVO6CffD5UTU5I1YswXWCc7DRTBdMYhrGvXxTFgiwcgiDYAe6ZFkXKKqMsvnA4PO26NE2zx4Cqn2gBJ5slyqgVBAGiKNrCESUdUDau00IeiCdQ5CuQZprcTdNctNU9JM7l+l4SiHzlg1JvipLfx3Sg+ZKeT+pRpihKXmNElmmCICQ8Z/S+UlAkGxQzO9Y5Z5BlEWWM5kKI3W53gjVcGbkhHA6Xs1XLmPcotIBJSUMUIM8FuYoW6fpOUgIjzffU89wpUDgrgU3TRDgcBs/zmIhaNt9nrvWlnC8lSUp4r03ThCzLiMViUFU1of8b8VpqqRCNRu0gk2EYCIVCOGplJQDgsW0T8ExN3QHVQIOXx2XHtIABcNeWIB7dkRgQoT7jm4ZVW8QdjbK4+e0gvnBXHz55Wy/+8eo4doxp4Bhg/2YJXzy0Bv/78GpccXQ9ju302rw4H/CihBveCOBL9/Rh+5hmJ6L2B3VMqAb8LhYnr/biJyc24O/nLcPHD27A6ka/XWmfHGyjCvdoNJogaJJVaCpeSckIxEWp2jaZN1PQvdrvxy3nt4MK4vuDOi68uTvjdTr70KdCJBJZtL3GKQk2X9Ek+V3JFnPR3oYcy2YCVUM6qwiz7bWY7nvpmXciEonYyevZzIvFTDjWNC3hGac2EqkcOjKBEi1jsdiSamtVSJQD42UsBBQ64ZKSHw3DyFkXy2WuIQveVAEVTdMgCEJCoNy5P9Y0Daqq2rw3FouhwefCqWusqu1v3NOFgQlrnXj/uyrAAHimO4ztY9M57O/P6sCyKVegsbCOD96wDWFVs79H1/WE9QeIFykEg0E7YVOPqvjyYTUQWOCFnjDu2xq0g7JOrKtz4etH1IJlgAe2hfCvjRMIh8MZg2lkKU+V8LMFrQ+k2WTSlnieRyQSsTkfcX3nfSP3JLoOZ1EPJacmc0pa1ziOg2ioOH6lde9u3RQEz/NW8NvLYyCk4/cvTiTwAFlk8ZUj6sAywKM7Q3h4ezDt+Se/HyzD4OBWD646vhG/fE8jjl3hA8dYAfKNAypqZR5HLfNgRbWAmAE81aXgiocH8fFbe3DdxnEMBBdOYIuSGPLVlvLlo/S8lgpk95/tZ+nZc7lc9j4pX62QqsyTx0pRFFtnzwbFLIRJnoMEQbDf/VzWD/o74sxOlAPj2aHMK8s9xhcsxsbG0NPTU5RjU6ZdNpippx8dj8SGaDSaMXOKejuyLJv2BaUKApZl7eO8NhTDFQ/2QtNNHN4h46uH18DtEu3MTQrsMAyDkZCGe7eHcdfb45iY6unCMcD796nBB9dXQ+RZuyKaxFQiX1Ql5FzknNeTPB7Z9ExJRQySf0b9Ip09IgEkBM2pyl3XdRiGAUEQbDERmG6TQYG9VPe6WP2Dszmus3+n81xpHGmBJ6t9IrZOzES0Flt/ZFmWoWnarAOt+Y5LKceTgv/ZCpD59rVM992CINgbT+rhmur4M/WXLLZ9JDk5xGKxaeeXzbxNCS6Z5upysDw7LF++HLIsz/VpFByLiVPlg8V0/aZporu7G5OTkwU/dq691bLpkUucgHhZpvlIlmXoum47/6QCbcDJFpNlWfQHoqiRRciSaLtlkBsLVRM5q9GpAp04LPX11nXdDpSLomg7I1H1ejgcRtAQ8P7rt4IB8OmDqvG750exV70LPz6hEZIk4U/P9ePfr0/AxTH49RntaJYtnj4YjOGiW3vAAvjgPhV4pjuMraNxHsAywPpGCRuWyThimQ9uLs73aAw1TUtYI0hMcZ4/VScRrwSAF7om8f8e68doOHGNEzkGB7e6cdRyGfs1uSFwTEHXYSey6R1H9yf5+3mex+n/3I7oVMPzGg+H69+33OaUTjGIkiYyYTGtiSQQk+CdL3iet9+9XFHK8STxPZtnlBzNCgXizyTsk+Vv8nOdTX/JbLjdbEBCqrN1hPP8Zpq3Z+LFxT7/xQKe57FmzZpF59y0mDhVvlhMY6CqKnbu3FmUtT+XuSJbDkr7ZnKBS2fvTC0YAaQ9B9LmeJ6HqqrYPhrB5+/qt37GAL8+cxlaZRM/eWoEj+0I4vB2D3548nLbuZK002AwiM/e2Y/dk9YY1so8/vm+TvBMPIDvtBSPRqP29SZrM7duCuBPL47CxTO49pRmNPviyQXO9fbedwL49XNWtfNnD6rGyat9Kde9VONKAWfi5jRezip60iqp2p7neVvHI17tRDqNqVgcIfm43RMaPnNHLxgAvzutGa0VAraMRPHVe/ugm8Alh9TghJVee43WdR1/f3EA/9o4AbfA4ndntKG1UrL7sxNStdpMxpgK3PLmGO57J4CQZq25fheLw9o8MEwTz3SHEZiqWmcArG+ScMJKLw5p9UDg5tf6QIVRyY6wuSLf+84wzDSnhGKCCniyudZCP8sUK6FEHpZlU477TFofBfaL2dIo3TlkM2/PVd/1xYiamho0NTXN9WkUHLlwqnJgfAEjEAigu7u74NVouYiY2Uz6qSZ7Eg+Tv4c+S4FgCkQ7iWeq8/N4PHhm5wS++1AfNN3EhmU+fOuYZsSiViahYRi2FTowlS3Fizjt7+9Ad5x6s4/HxQfXYO9GySbFtCCQ2Eli0UAwhjoPC1mW7fOjBAAKOM+00KUSjWYSEGlsNE2b9eKeamORjbiRD3JJuMiEVKQ7HxRLqC0lKDmAhPzZPA/5ClIzCV2FRi7kMRvRPBfQ3COKYkJFIAD7Z7Sppmfd+XMKrBSzRyAlAlEiUqbrSIVsSeZiCgIUG/X19aivr5/r0yg4FhunyhWL7fpN00R/fz9GRkYKetxcOIVTmMyEZKGM5q1UQhPNd5Ik2XOwM0ieiptwHGcnQQWDQZv70bkRD6EEKUq+nGkdJc5MgVo6N7fbjc/cvB1bRqI4bY0Pd2wOoKNSwG9ObbYsA6MavnV/D17pi6C1QsDPT2pEUDXwxK4Q/vHqeAKPZRlgn0YJR7R7cEibBxUSN+N8TddKVdfpoMYMPN2t4PqNE+hLqk5Z3yjhqOUyjlldDVZPXHuKtV7MNpAWi8Xwvv/2QJ2iLxUuFted15bXsQodMJ0rUEUNVeHP9li53p+5ELpy4YqFfJYFQbCTmSkxnMaL5hxKsqGfU3UbJagYhmHzymI8fwzD2C5qmfZdmcaFgiIz8d5ck6iWMlatWlXwity5xmLjVPlgsY2BpmnYtWtXwd/rXOZhr9cLVVUzaj6pKqid3M4JJ6elFhhUrEM/T7X2nXPDLptrcAC+eXQjmmQGF9/ZBxPAb09vxcpaK3hI7nQUzPrkbT3oC1p/XOfh8IczWuzAJ9mmk67ldCBxXrNhmvj2gwN4bUDF2loXfnZyC0xDT8ldbnhtHNe9NgEGwDePrMPRq6qmzd8zcR7i3LPVO0hDScftC41U9+57jwzi+Z4wTlrlxcUH1wAA/vvGBP7+6jhcHINfntyEtop4dTvDcvjmA/14rU/B6hoRV5/YCJ7NPVBNz7miGXhgWxC3vz2JgZD1HPAs8O5lMtorBLzcF8HG/vhY+F0sjl4u4/iVXiyrLJ6TTDagJA9y8ZoNf6KCqFw1R+JSpeIXue4HCllgRGNM3M3ZBtGZiOJMiqY9oHM/TPNPMWIC5Lo0U9JxqnmZ4PF4ZowFFCumsRghSRJWrlw516dRcJQD42mw2MgmYGUqjo6OprS6zhfZLlo02VIFZ7qATyZhhAglLXSUSUjHSJ70qGqaFhvnxBqJRPDqQBTffbAXmgEc3i7j60fWw+uRbNtyl8tlV6K7XC5c+1Qfbt8UAGAJYlRBfvwKGRftV4WGKl/CWJBw8YmbtmH7mIZPHViNc/euTThfEkeJKDMMk1ZsTDU2pc6Yp0WSnp9SEs3ZQpKkhAU/Fyz0wJ6zIg1IJJ75INdEARLmSl15nwvZLOQ9dj6/yfNQvudXSOSa1ZlKCE4nAqTCQn9/Sgmv14tly5bN9WkUHIuRU+WCxXr9Y2NjCAQCefV9S4ds1xeaV5yb9OSK5kxJdmSHSJUoVOHt5AnOoDbZNhIvpGRIElGcCYhOa0xKjHIeK9vgmpNjOUWem96cwN9eGcfaOgmbhiKodnP4xzmttjCgQsAn/rcDo2EdPheLgJq42W/y8jhnzwoc3iHDJ8YFOKpSyVcc0A0Trw9E8OiOEB7fFULUscR4BRZnrPPhhJVe1Hji1UeUpJBJJC4ECnHcWCyG82/qRTgWr8a5Ps/g+EJPuExe16nSJB+elw8Xor6RpRSycr1nhdwjOZ9fml9S8aq54lu5fG+mqj5qn5XvMcqYjpaWFlRVVc31aRQUi5VT5YLFOAa6rmN4eNgK8CVZXeeLXOZt4lDkskhVq851JhOXcFoSp3JipOALzV/kuEK8UhAEmKaJd0ZUfP6O3QnH/vC+1dg5puKJnSFsWCbj60fUJjgS0RxsGAY+cVuvHRStlzn83+lWcJznedvdB0idYErHGQrFcPFdfQhFDXx4fTU+sn+tPT5OXcM0Tfzm+VHc+04QAsfg+8fWY6/6uFV6qbXKVBpXoQpukpEqmPbGQATfeGAAIsfgr2e1oELiYJgmLn9oEK/2R7C8SsDPTmqC6KjSdo71+/epxofe5cv5XJKfc90w8Uy3glvensTm4Ti/2r9ZwpEdHvRMxvDQjhBGlDhRX1Mr4oQVXmxYJsMjlL6LbjJncrvdeRd35cOF5oI/5fKdmYK/uSJZG3buo5MxV/uVXAswUyUmuVyurOafQhdILXasW7du0bUFy4VTlXuML3C43W60tLRg5cqVqKurK0gv6mwnZ3pxKNtHURR7Q0v9IUgcSwWarKPRqN03KBaLJXw/2QO53W5bnCGi6Ox3Q30i96kX8N3jmiFwDJ7qCuHHjw9A1XS7mjYUCkGWZbsX5MVHNNskpl7mcPJqqwfkA9tC+Mwdvbh/0wh4nocsy/bmnmEY23rx5rcm7Wsme2U6H7ouIsnZjDX1LSolqCcm2TDl2t8zWxTD8o0qrbIB9XOnnkULPahHmzAC9TGlPiu5gCx3csFcBMXT2ZqVAs53NZNwW4g5OFfQJi4XYp3ci5I24mUUHoUSgsoooxSoqqpCe3s7Vq5cCZ8vdyEnFTL1CXSCNrCaptm8knrb0vqdac2nZETn3ztFAvoMEE9wCoVCNmflOM7u5+vkbtQTN/l4zh7A1B9uJk5CvbNlWYYkSbbN5GHtVmBsy7AlGEyqVv/IgYCK2zZN4tv3ddu25RQUf1eDC4e2Wd/XUSXg9D2r4XclcjiyL8wFpmli22gUf35pDBfe0oNvPzSIB7fHg+ISz+BTB1Th3+9rw/l7VyYExWlciOMD2VlU54NCBFB5nsd/398OWbDOdVI18L4bM/ccJ1CfROqDvpCD4oB135xcnfqlut3unLlNPnuJ2SRw5Its5yZCoYLiyfu9TL0k56KKOtdE2+S9rjOQkS03LVf2ZI9yP8gyFgo4jkNDQwOWL1+Otra2rHWbTKCWijOBnBkB2D2oqeCG+k3PdD5U9BONRm1e6ZyrDMOwuRwFm0KhkK1V6roOl8uFVTUutPgT19F/vjKKQMQ6vyd2hrBz3DpH4qThcNjut/vHM5pR57GueTCk4zN3WC0kqXe21+uFLMu2JuDkujSX18k8LjmsAQBw3cZRvNYzaeu3zjWeYRh85sBqHNLqhqab+P6jQ9g5Hl+fSuUSSCCNixLIiL8XGpQcm4w9611YVSMiqpu4a4tVUMUyDC49rAZ+F4sdYxr++vJYwt/UyTwuOaQaAPCfjaPY2D+zvkuOOaShJ3NKjmVwRIeMn53UhJ+c2IDD2j1gGeCl3gh+8cwonu8J44N7V+Bb767DoW1ucAyweTiKa58bxUf+txu/emYYbw/lV1CUL5L133A4bGv5uSDZqTFbzIW2lcv7kSsHzQRyaSAkx1Wcn5uL/UquPd6Tg9rkwpltsHuxtZspNhZ6bGS2KAfGFxEaGhrQ1pZflYMThQg8UaCb+tNRzz6nuEK9FqlimUilM2BDFTvhcDihVw1Zleu6bpNGepkPXVaBK49rgcAyeLpLwZUPdsOYetQlSUIoFEIoFLKqGSIRnLnWEn7fGdVwymofrj6hAe0VAsYjBn78+CC+dX8PdgxM2LZEuq7jo/vXArCyAbeOqPb1kKhKhMbtdmesmqBAO6GQi2MuME2LWCcvqAsBzoWdsmSdoD6asVgsQWgvJOhe0z+SJOUcnM4GFBjItBnUNM1OGMhWyMyHNJZ6UwRg1raBzj5XuX5v8jucjpTNhbBHPa1yAb0DyVnY2b7/ZQEze2RbLVVGGfMJPM+jo6MD1dXVc30qNtejiiMgbjXscrns3nFUDURckgTP5HnfmchJxyKL81AolNAXHIhXXYuiCE3T7PmWeCzxClVV7eMkr790jpRMSm136HPNPgHLq0QYU1NwzAAuvnUHPnpzD/744hjeHlLBTH0OsDZwH1lfibP3sDKgNw2pCS2DCLms7wPBGG58YwKfu7MPX7i7D7e8PYnRsA4nqzqmU8bfzmrBaWszZ15Ho1E7IbFYGfuF5Kv/eV87fKLFrUJRA+f9u8vmxcmgCjIS2knoKyRIsCdOSQnChYYzMEACfzJyFTILYcNeKuTKZZLvAe0xckWqv0n1nsyVFWQ+30nXRI4fNH9ms+dKV9VURmqUA+NlLET4/X4sW7ZsWnJ2PsjmGJkCI5qm2et3cstGOrbL5bId8khDoHaQTjh5oPN7iQeFQiG4XC784sR4Wy0Glh32q/0ROzHvP69P2C5GTutpTdMgyzL+eGYLatzWGtQfjOFzd/YiZli6azAYtBM3OY6z13KO4xKC5Ie3ijh6hR+GCfz86RHoDJ9Sq+RYBl89ohbr6lwIRQ1c8fAghkKxjEVPxQa1LypWEUK654VhGJtr37k5ADVmrY/VHh5fOszShO/YHMBzuxMDS4e3yzhxpRcmrLGeVHXb7TT5+JTE6tTQM2FdnYTLjqzDH05vxmlrfJB4BjvHNVzz7Ch++9woVla7cO0pTbhw30q0+HhEYiYe2BbCV+/rx+fu6sed7yiIMoW3Wed53k4WBiz+mDyu+RTz5JsMUeoK2NkWDpEFej7nnep7U3G5YhXBZUI+iQ3RaNR+V6hFhKZpWb//cxVXWahY6ryyHBhfZCCBcDYwTbMghNUJspskMZAy8hiGsYOWkUhkGglwVjKTMGmapr3hpoxIZ8WOaZo4qE3G906wguPPdofxo0f7wfJiwvFpcf3QPhVwTVWN/+KZUaxv9eP3Zy/DB/eugMAyeKk3gs/c0Yub3xhDIGgJpkcu99l2NH9+eczuW8IwjC3cUrV4OnHBaR8PJFaczwUWavCG+nQKgmD3RSRIkoRYLFZ0sYWC7vRPJBKx+34XClRdQhVrTseEVCAhcybCSdnMuYLe41Ih316VlGlNSS2qqtoJLNkQK7JeyxalSiyhjUe+vThpznSKl0D6gH8yytXluWGpk80yFi4KkeSVrYiWy5pJlUBkk058imVZ210kHA5DVdWEeS3ZilEURbva0Rl0p0Ag9QMnVw5nAp6zGikWi9kBRqrgEUURgiDYFcW6rifwERJmWZZF2BRQ60lcU98esubZPepc+NQBVfjb2S34+3uX48gODwwAP35iGDUeHjwLjEcMjEXZafaZM63vAVXHPVsC+Pr9/fjYrT34x6vj6JrQwDNAo9da+0wAtR4OVxxdj0sPq4XXld3aT4mtxUgULAZueG8bKqYq7sMxE++/qXfa3E1VXMVc60VRTBDsI5FIUcaRRPdwOGxXz6XjlSRkZsOJ8h2bUgeAc61eAeKOaLQ3pVYPLpdrRl7u/N5s58RSVrzQNQiCkBfHo8Qc574rWz1hocwR8wWaps1ZcKqMMmaD5CKYfJENX8wlKY8SeiKRCKLRaMLc6+SbqQJ9Tj2Eqn6pPaTTnrzK78WRy2Tr/wHs3ehGpcQipFlr5hO7FGwZCNrHIn4IWLqO3+vFP967DNWS9bPeQAwX39WLmBFfc51akdfrRTgcThgrQRDwqf38qPVw6JnU8LtnB9JaDrt4Fle9pwNtFQJGFB2XPzyIicjcWhPTPSgGMq23h7V5UC9zmFQNPLw9zgsPbHHjjKkiq189M4IRJXF8PnFAFVr9PEYUHdc8OwKWZRM4FL0P+V5To0/Apw6sxt/OasFH961EjYfDWETHPzeO40v39GMwFMPlR9XhV6d34NhOGS6OQdd4FL9/bgjvve4dXP3UCF7qDUM3CsNpqSUf6bMUA0gFKuaZKemSOHE+KKWTI7UfygWk6UqSZLdFIIdcSoydCSzLQpblOSlaygRK+EiVTJTLMZKt07PlxQut2G+usdS1ynKP8UUITdMwNjaG0dHRvKs0sumNkWuftVQ9RSjQ7XK54jblSRs9Zw8MnufBsuy0zyT3JaPzf3PEwLfv2w3NMHFQq4RLN7TAx+v2REnH/s/r4/jnxgkAwC/e04hVNVZwdVhl8dPHevHGoHXsldUivnBYHdY1evHrpwdw61vjYAD89/1tqPLJdqWQIAjTehDNNH7zpWdvsfoGFfP6JEmyNx9URUaJGCR6FwuZerQU6popgST5uc/2HZxtj5Z0KFWPqXzGkZJvZlriKGiefB2UZEQJLxQcSQcKiBSzPyZlgFPG5FyhkD02lwo4jsPy5csXlfi7VDhVOiyl61cUBaOjo5iYmMh7o5lNH7Vc1pSZeg46W4Q458vkypjkftiE5HXH4/HY1T/ENyaiQJ1PQlSNpDx2Jjg/+7dXxnHTmxPTPnP2Hn6cvsaH5iqP/b0Mw2B0MoQv3dOH3ZMx7NMoIazp2DKi4atH1OHdy+ICU7oxj+omnt+t4NEdIbzYG8ZU8QsYAO9qlNBZJeCpLgVDU/0sT1zpxUX7VUEW80v2K9aaUaweeR/5XzdGw9agiBxw24c67aorwzAQi8WKGsTNxHkKNZbpntVs+BZVzyX/vSiKME1zVvekFLySZdm8gr/ZjA3NS7FYLGF8iHNT0Dibftq59OfOF8R1U82BhUC293O+7IEXEmRZRkdHx5xUfxUDS4lTpcNSGQPDMDA5OYnR0dG83/tc+FYux6RiF4KTV1LVqq7rCdwqef5KN+/xPI+wquGcf3fZ7kC/O2MZfvJEL7aPWteytk7CNae12deWam6MxgxceEsPJqba6rT5eVx7ajP8XtkOptO5UpBf13XIsoxQKASGYfDmcAxfu8fqef7dYxpwQPP0/Sl992Aohq/e148RRccedS58/9h6uPi5m3eK5aQy0zN126ZJ/PHFMTT7ePz+9Gaw1C5IN/GVe/uxbSyKvRtc+P6xDeDYePBu22gUX763DzED+OxB1Th5tc9e36PRaN5FDqmg6Sae3BXCLW9PYvvYlIMBgEPaZZyx1otlFQKe2KXg/q1BvDMav9Y6D4fjVnhx/Aov6r35BZPTrePZ9IPPtBebTTIqrY/FTrx0uVx2EnUuyIbTkzMRBcwJ5D5A4zMTj6IYha7rRU2sKzZ3zZZXzpXj0kJGU1MTampq5vo0CoZyj/ElDkEQUF9fj2XLluV9jGwWn1wnmuSMRafNpaqqCdnP1KeHql0o24iyOZMzTZ2ZmpSVxHEc3lXH49tH1QEAnt8dwftv2Iav3deHgaAVnCeLjfP29MPNWwTml0+P2MJGi1/Aj45vwOcProZXZLF1NIov3NWD3z7dh/P3qQYDK+Pz32+G7DHjOM4moOkm7eQqhbmuFndiIS4glN0LIMGGiDYEs7XgzoRMNi3UJ2q2SFddkq0YoihKgr0q2YDOVnykKiN6N4uBXPscEkignQmUeUxzCyW0qKqKSCRi2/OSDS7ZqDkzYJ3VicV4f6jCnQL9xQqKZ5vBv1hEuFJC13Xs2LGjnFBQxoKEx+NBa2sr6urq8j7GbG0vk5HccxCw1gta76liQdM0O7mJql1p3XL2f0yuKnDOs/Qd5ExDIs/n79yN0/+2BT9/ZgwPbw9iaDJ9VS99Z/K17hiP4ra3raB4vczZFcsAcECrjFqZt6sIKInLLbC47Mg6SDyDjf0RMIz1N28Npq8WN0wTr/VH8KtnhvGhm7rx4yeG8exuKyi+vErARftV4jenNqHJy+PWtwMYCumolzn84Nh6fP6QmryD4kDx1oxi5Xb/45w21E718ozqwBn/3G47QUWj0byqQnJBpqTmbHurZkImsSibihMS1ZzPMyWOzJafhMNhu3K5GCBb3FyD4izLZvU3NC9Fo1HIsmzvTw3DQDgchqZptlMatUaiCvTkuSwbO9V84XK5EoLzxdr7ZTunL8S951wjFAqhq6urPHZlLDiwLIvKykp0dnbmrdEkV3WnQy4Vo9FoFJFIJEHTcHJX6jVObSLJGYiCm8QrY7HYNM4riqLlJsQx+Oh+8RZFVz68G//v+Abs02itp5uGIrji/t3AFK9Lte6IPIu/ntUC/xRf7J6M4Qt39dmV45Ik2borXb/OxYuQOI7DAW0+nLNnJQDgl08PYSKSuPY79Zd6mceVx9RDFlm8NaTiJ08OF6zCOB9Qy6RS4/gVXsgii95ADM/vjvNtgWPwtQ21kHgGrw2o+N9bkwl/t6JaxEf3rQIA/OmlMXSNJ/a7T97LzAYCx+DoTi9+dXITfnRcAw5sccME8ExXCN+4fwDfeWgQHpHFT09qxDWnNOG0NT74XCyGFB03vD6Bj93ag+88NIAnd4Wg6dnf43TBfac7aiaQ5uZsyeJyuWw9N1/Q+kixhGKAdNpc1+JsXYvIXYxiIrQHiMVi9pjTWJENO7n/0PxKRVbhcLhoQXFyWSMNtVjIpvCTYZgyN8oDfX19GBkZmevTmBOU1e1FDNps5wMiYX6/Hw0NDSkXknwWKaddCMuyUBQlJbEhu0kSH5021SQ4OK/NOfnS5yg4fkiHH14xTpzfHFTxsVt78N2HB/DE1hFgytL8Q/tUAgB2TWjYOm7YVtSyx4MTV/nwf2e24qhOHwwTuPmtSVxyRxc6qizSe8/mcduSkyp0qA96MmRZBsMwCedfaOv62UBV1ZJa9xUblNlbLMx07NmKmIWqoqDqeVmWC9oPk6xSi2FVRFmiuSKfSnhd1+3eXE4YhmFX6ztt1CKRiL0pzqYSMh/QHE6bJpoLi/V+ZrvJnG9WTQsF5eB4GQsds+ntR/NWY2MjqqurC5ZMZRiGzSvTzY+madoVnJRcRHyS/tvZX5ky/wnUIoeCWjzP45keDaOKjohu4uFtk/j50yP40E27cfFtu3DdxnFsHlZhONYT6q9GFUnUKojlXdCm9u6DIR1N/vi4hGLxdkNAItdtrxTx+YOtrO7NwxZn3zwSP2fi8TvGovjLy2O48JYeXPbgAB7YFoKimajzcDh3Tz9+fWoTrj2lGe0VIi5/eBD3bbVsPE9Z7cOvT23G+qbZC0nFEieKaXr2t7Pb0CBba2LUAM69sQeRqfugqmrR3D9SuWI5QYkc+YJhGLvNULrfZ4twOGwHdQuZ3Kuq6rSEzkIh317WkiSl5T4PbA3g7Bu68JGbuhN+Tu0Xko9D84iiKDa/o3715GJULJ4niiIkSYKqqvYcUcw9X7bvfjnhMj8Eg8FycLyMBQ3SxfIBJTu2tLTA7/ennEdynVsogERBblVVU+qphmHYWiU5zDl5JRVm0Pc7ufMZa7yQpto49gdieH0oik8d2mD//pndYXzrgX4oUcMOhiVDEnn85awWeKeSFndNaPjkTdsguOLtfnRdx2hYxy+eGcFZ/9iCG14dAS+INh/9yL6V6KgUMB4xcO2zIwmV8aRVEldf2+jHd95dB4EFnt0dxu+eH51Tq+JiaKczPYcegcV7VnkBALe8nRj8bvEL+PSBVsLDvzaO262QCKev9WH/ZglR3cTVTw4jmhR0plY1hQLDMNi7UcIVR9fjb+/txEkrvRA5Bu+MRvGTJ4fx8dt68GpfBB/apxJ/P7sVlx3dhL0bJZgAXumL4MdPDOOCm3fjjy+OYtd45kBqJvcm0zSzfr81TbOdDWKxWMEcPykxsRgaN2mO+bwL+Tr7Jq/3zgIqqiqneUhV1QT3iGKAAuKKoiAWi6WdswqBbDk8td4tI3cs1eB42Up9CYCEQtM0IQgCent7MTk5Oe1z1PNa13X78y0tLaiqsjLcYrEYAoEAJicnEQxawlkhHp9Mgb+ZAk6UaZXpPCRJwq2vDeLXz4+l/H2LX8R7Vsk4tlPGJ2/rRSBqoMUv4P9Ob552fqIo4snt4/jdC2MYCiUuZlce34JD2zz2opPK5sN5LPp9sYJq8w1zaZOXjYVPMY+bj/UlZU1SAkm67wdyfw/JYlbTNNsSsxCVyNTqgES9md7NTJiNRWo2FpWpQJtb6g0GxAXwmZ5d6j9WqOeMnCdSkeZivUu5HJeCQ6Ww0l9sqKioQFtb21yfxqyxVDkVYaleP1VEOuf6rVu3phTmnS0taH5Zt26dveaoqorJyUkEAgE7yFaIuS1dRWw2awNt5jPNbR6PB6FQCL9+bhT3bQ2CAVDv5W03IkKFi8WBbV7s3yRhn0YR/qne3M5+jm63Gx+8YSv6g9Pn+s8eUo/T1nhtXp6cAc8wDP7w4phdcU6tfTTWhfveHsYjO0LYNR5fR2WRxRHtHhy9XMYe9S6wDIOgquOPL43hoameiU1eHpccWoN3NRQu8Fsse+xS2OR98rbd6A1YHJ1jgP+8rwUSzxftmrI9bj68kgLimSqm87ku6qlK4iBVZedjK+kEOT2wLGvPJbNJLMt3fpmJj77vP112j9ib3tcMyZH0Q+NJTk0A7AB4NlbqheR6me5tsfaiuXB5Z1usMnJDe3v7guchS5VTObFUx4BaTFAyeigUQk9PT8rPOvmTJEkQBAEdHR0ArIBRKBSy9cpYLFaQ9iOZjjHTPC0Igq3BOuffp3YFcdUTVvCBZ4BfnNyMz9/Vm/C3zT4B3z2mDqsaKxNc6ShQrygKlKhlqx6ayrDsrBJw7entMPUYZFnG09tG8K0HB+xjrqmT8IWDq9BeaTl3vtk7gUvvsWy+LzmkGqfuUQNN02CaZsKaQWvW010Krnp8CCaAD+5dgfP3rsxtMAuEYnCwbJ6VESWGj93ag5gB/OykRqypjScqmqaJnz41jMd2KqiXOVxzSrOduAAAY2Edn7+rF+MRA6et8eFTB1YnHLtYbYdorCYiOu7eEsBdWwIYj0xVUgsMTlzpxZl7VKJe5tE7oeKBbUE8sC2E0XCcE6ypFXHiSi82dMhwC/FrouSRmfT6XO+Vs60BccBsnXsygVwUaA9Lemi+yLelw2z4ndvthmEY9h6ceNNMfJv6dRfyGUt3b/PVYmdCruPt8XhsZ4YysgfDMFi3bt2CT1rNhVOVA+NLFFu3bp02KVZUVKC1tdXOWlcUBbW1tSkrEwzDQCAQwPj4OAKBQN7nMdOikM1CWltbi+Hh4RmPceq/dgGAbX+eDBfHYEW1iLemMvyuPrkN6xsliKIIwzCgqqqdNRk1GPzqiS7c90783Ju8PP54Zot1rBR9i1MFxbMZg7lAMc5prq+TeqoUcmHMluhR9Zmzl1+mLEG32233qi7EO5It6F0vFJEhF4V8j5ePUDfb50wURXtD6PzZTO0OCpl8ka6nPKFY79JsNy5lZAdnwtlCxlLnVEv9+p2IRqPYsmXLtJ+3tbXB5/MhEokgEolAVVU0NTWlPIamaQgGgxgaGso7MJLNpn+meU4QBPh8PoyOjmb8HtM0YZgmrnlmBA9uD4FjgC8d0QiWY/Hk9nG80hdGWIuvCSwDrK1z46A2GYd2+NBZLYLqFv70whD+vXEULAM43SkPaJLw3WOtKiKv14toNJowNi6XC0Elgm8+MIBNU1Xj7RU8uibi/IJngYNaPDhquYwDW9wQuHi1xHPdCn7z/ChGwzoYWBUtH15fCanAvSOLIcYAxRNekvGZ23vQPWmNKcsA15/TAp9byLvVSybk0pOZKo9pj5KJgzh5w0zBykIlHFBbqkKKUs6gSK7IV3Se6e9e61Nw2UNDAIC1tSJ+elJ8jkvH56gCPdN9KDS/J8eMdL8v9LuULy92u93QNC3v+7zUwDAM1q5dOyfWwoVEmVOVx8CJoaEhDAwMJPyMZVmsXbvWrgClVmip9lSmaSISiWBychIjIyN5r0Eul8uugkwFCk5l0isqKipsO2Tn+V14Sw+GFevvDmmV8OzuCHgWiDlOVRYZXHFsC/aosd5vautGriqmaUKJGXj/ddugTAXHV9W48NuzlkONhCG6JJzw580AAIEBNNPihR/cuxIfPrAJaiSMm94Yx19fGYfEM/jNaS1okLmUQXHC3VsC+O3zFke++OBqnLTKl+uwzhqzKaBIh2z5xS+eHsZD20M4ot2DbxyZ2GJKiRr4/N1W284NHR587YjahCrll3rDuOLhQQDAFUfV4cDWuBsBx3F2z+hCIVURTVQ38eiOIG59O4CuCWsMWQbYsMyLc99VhT0bvVCjGp7dOYH7tgXxwu4wqMBd4hkc2SHj5LWV2KPBbbcXKhWXobZYheTes9HV8vlbZ9J4PqBKaOezmu2zU8jki9kUN+aLQiTvljEzfD6fnXC2kFEOjKdBmWzGoSgKurq6EibUfLONw+Ewdu7cOesAVk1NDbxery2OUlV7psyg6upqNDc3Y3JyEt3d3SknOxJ4zrxuF2JTv/7I+gr849WJjOfnExn8+/wVMPX4Qs8wDNSYgd+9MIYHtiYmBHzlsGoct7oKsVhsWoAxXVB8tgtjsVCsKpx8s+oKhUIHFLMVklJ9ryAIdqIF3X+yG0qXUJEKTlvWQjxHVKFTqM3GbAhYrveLstoK+eySsDfTvS7ksz3TmBWrUm02gnOhkyoWM9auXbso7J2WOqda6tfvhGmaGBkZQX9/v/0zEjBzzTZOdaxsQFUAznm4vb3ddkMZHR3NSsBZtmwZZFlGb28vxsamOw0lz8+6YeIXz4zi0R1B8Czw/RNa8a5aDjHDxNtDKl7uU/H87sTKbQColFgc3O7Dvg0CvCKLbz80CBfHIKqbdvImA+CcPfw4f+8KVPkt+0ZaE+k8GIbBuMbigv9sh27GEz9b/Tzes8qLYzu98LoSAyYTER1/eHEUj+1U7M9+4dAarKsrjj04UJyErlJyyovv7MXO8biAeP05LfBKfEHPIZc1OBVPoN6CAOzWMGQ7mCygZdqzUY/UUnGaXDDbJMRczyXbz5/2r132u3fnh2YWk7IRDQv1zsyUGFwsV63ZvhvZVKKVYSVNLVu2bK5PY9Yoc6ryGDih6zq6u7ttl0ogf8etWCyGnp6enIt5qO0EzY+SJKGxsdG2Sh8ashKiMs3VoihixYoVMAwDO3bsSJgTX+0L49sPDSZ83s0zCMcS52MGwKcPrMYpa3zTvo/m2clIDBfd2ovI1N+urnHh2jM6wLEMzvjHFoSiJmSBgYtn7UrgVTUufPmIejTJDL7z8CBe649gba0LPzu5BQxMe81ItQ7+89Vx/OeNCbAM8K0j63BwW2F6ZOeCYiR0ZbPu7hyL4uK7+sAywB9Ob0ajL7E11OZhFV+7rx+6aVXhn7AyMXHgjy+O4rZNAfhdLH59ShOqPXFNoNAB/0zXY5omXuqN4Na3J/Fqf/z+7lHnwll7+HFImwyPW8JYWMd9W8Zx96Zx9EzGz629QsAJK704aW01JCYzd/V4PDMWBhXqukp5rHy0/ELvh4jDZXPcQj1fpSzcyuV7M8GZVFRGZizFIp5yYHwJQ9M07Nq1y7YoyUfABICRkRH09fXl9Dc0qZFdtCAIaGpqsnurmKaJ0dFRBIPBhH7dzolclmV0dHTY5xwIBNDV1ZWwMDmJ3Hcf6seLfRZ5+tvZzZAFHhfeshvBaFwoqJQ4TKq6XbHjERicssaPDe1u7JqI4ZkuBS/3hW3SSWAA3PD+dtT7Zei6bleLUz/OUCiU8Hm6zpmqUOcSM1UX5ANBECCKIiKRyJwIHamsSPNFLuLabO1ysiEWVDVUiHEtJJmZrSCaTOAyCceFJJqiKOZkL1+o787mOMVIXCmUMFq2wsyM+vp61NfXz/VpFARLnVMt9etPhUAggO7ubhiGgcrKSrS2tuZ8DNM0sXPnzmm8KRPIYo8qaAVBgCRJaG5utj8TjUYxNjZmV64DVhKVcz1pbGxEbW2tfR59fX3TKseT52iPx4NAMISrnxzGU10KBI7BFUfVYX2TG263264KnYxxeK4rgBd2K3ipJ5TAI1nG+idmAKesqcBdmxMTN5v9Ar5wWD32a5FtS87k8blnewS/eTqxuopjgPVNEg5v9+DgVg8qJA5P7grh9y+MYjxigGWAs9b58YG9K+AqcJV4KhQjOE7W97Np3ZItvnh3L7aOxoPj/zinBU1VvoLxpVzbmRS6Wmo25zMTCsUrZ8t/koX0mUTNbMf5J08O4rGd1vV9+oBKnLq2YtpnPB5PThUrhRD9yYI00zUUy3mhUPe8bIWZHgzDoLOzs2j9PEuJMqcqj0EyTNNEf3+/3e803yIeVVWxbdu2nOYQCooD8WKGqqoqVFZW2p8JBoOYmJiwK9gBKwhP38PzPDo6Ouz3U9M07Ny50z6uaZr48r392DIS3zNLPIP1zR482xWaFiQ/ZbUPl2xohsCxiEajtisfBXsmpoLj6tTfrK0V8YtT2/Glu3Zj05Aj8FkvYeeYCkUzIbAMPrRvNTZ0eHDxHbuhaCY+tE8FPrBPtd1+JdWe3jRNXPPsCB7YFoLIMfjhcfVFTa5MBY7jwPN8wdevbHpcX/7QAF7ui6S0RAeAm96cwN9eGYeLY/DLk5vQVhEPnmu6iUvv7cOOMQ37Nkm48ph6sI6q8kKtnc42qTOhO2DiptdH8NjOkO1Y0OTjccZaP45bIUPiWZimiTeHVNy/NYindilQp8rIeRY4pNWDE1Z6sb5JSriWZBQyUbJQethsuW7y32fSKgvJt1iWtXucZ4NCVXFncw+L5W5ZiOeH5/lprS3KiMPtdmP58uUL3kYdKAfG06JMNqdjdHQUvb29eQuYiqJgx44dKTf56WyUfT4fXC4X/H5/Qs+1bDA5OYndu3ejtrYWdXV10/42OTguy7IdLAyqBs6+bhsAYM86Ef/vxCa4XC78/LFe3LM1no3KMdYCr2ZYN2plHm0VPM7bqxr7t/khTpEFTdPsSkDqHy6Kor04Jgf4CtmTuBiYTQVpKlA/62g0CkmSbAtmIjVkuwigaHYnhVqocyE2+RLcXAmfswp9tj1zCkWeZvsMkU0YPSvpCGAhReJ8npHZVMZQv24gc19b+mwxxPBCC6PFyhRdyKB2JbmsefMZS51TLfXrT4cdO3YgFAqho6MDPl/u9ooDAwN2FU4yeJ6HaZoJaxMFwb1eL/x+v70GZgMKfk9OTqK1tRVerzfl753BcVmW7epLjuPiYqhh4qrHh/Dc7jBcHIMrj6nHAR2VADCtjx3vkvDizjFsHIrh2V0BdE8kzunJVpqEYztlfO7wJrgQs23hCGrMwEdv6UFANXDUcg92jGkJVeosA/hEFhOqdeD2CgFfPLQGqx39EYuNYlR409pF/DG5DzXP83C5XNB1vSBi3Ffu7cOmYesaGAB/P6sFdX7XrPlSofl2OuS6NhNXBzAr7lwoMbQQzxD1Z6VnJd255cIFDcPA6dd3AwAEFrjlA/Gqceq5ngvHmu11kntANpX/xRIwC3lc6tNbtldPxGLoLU4oc6ryGKRCLBbDpk2bwHEc1qxZk7NYbxgGtm/fnnb9STX/ezweCIKAiooKeL3enL4zGo2iq6sLHMehra1tmkNYLBbDjh077PVg24SBL9zRbf+eY4GfndiIL97TDwZAvcxhIBTnF+ubPfjOMc2o8gi2VuYMEAdjLD5y4w5Q3c+eDW6srpVwy5tjYAAwUy17jl/lx1goihd7rWtfWS3i3Z0V+POLQ+AY4KcnNWJVjSujPqAbJn7w2BBe6AnDJ7K4+sTGhABwKVDM9o+kqyWvo5Ik4dW+ML5yVxcknsFfz2qBL8mZyTBNXP7QIF7tj2B5lYCfndQE0dHKqHtCwxfv7oOqm7hovyqcvYc/4fiF4Eu5jA1xwxElhjs3B3DPO0G7eMwrsnjPKi9OXeNDzVR1eyhq4LGdIdy/NYito/GxqZM5HL/Ci+NWeFEvp3bHS+Zgpbi+Yh6HWuaQ4yYV9KVCofQ2t9uysc9l7zGb62RZ1nYpzUajL5ajVyH3SnPd5nU+QhAEdHZ25qSlzGfkwqkWfhpAGbOCKIoQRREVFdMz27PB4ODgtIlREAQ0NDRgzZo1aG5uBsuy8Hq9WLVqFVauXIn29nY0NjbC4/HkHCDw+/1Yu3Yt6uvrU/4t9UNgGAYVFRWorKxEOBy2gvQOixcStWKxGC4+tBZ/OD1OVnRzhqC4h8MZa7y47N2NWN/ogqaGoaoqFEWxF4twOAxZlhN6KiYHOKlqfD4j28C0k/RTL0lJimeNSpJk99OjRTISiUBRFBiGAbfbbZMkRVHsBc/j8cxLy+FcSU2+gUznGGb7PYqi2GR+NijEuNNmYjYIh8MJz0o6AliI3npE+nIlSWQPlQvcbjdkWbYDJjRvzIRiEZVCZwWGw2H7nS7Dut8tLS2LJiheRhnp4PF4IIritCBzNtB1PWVQXJZltLe3Y82aNaioqIAgCKirq8OqVavQ2dmJjo4O1NTU5Dw/MgyD5uZmrF69OuX5MgyDpqYm1NTU2P/N8zwikQh4nk+Ys3mWwTc21OGgNhmqbuK7jwzijX7F6v+oKNA0zZ4TY2oEB3VU4DOHNOB3pzXjz2e24LQ18e9PFRQHgIe2h3Dhf3fg4W2BafxMEjgcu8La9KkxE785tRm/P60ZH96nAvUyB8OEHRQHLKFr87CKYaV0gaZc5j8nB2FZFm63O+FnJFw7K68URbFdsGRZTqh2ikQiEAQhr72HEz89qQl71VvJBCaAC27pweDk7MWfXPYE1LokH+SacEr8S1GUWX1vIe3mZwu6HtqfpeI/zqSXbMCyLKrd1nE0AxgMWtdLLjq57BnycbZiWRYej8eeY2hfms24F6sSu5DJzZqmwTTNBbF3LhUaGhrKwdMyFj04zup3XVFRkddedWJiYlrwjWEYVFVVYeXKlVixYgV4nofb7UZ7eztWrFiBjo4OtLW1we/35/ydoiiis7MTy5YtS7le8TyP5cuXQ5IkiKKIE/ZbhYNa4nqPbgAra1w4sMUNE8DKGhEtfovbMgBe7VXwuVt3YlPvuJ0Q6Cy0qXAx+OOZLRCmTvvNgTBe7LLaU5oA3v+uCjAAHnhnEsuqJXzliDp4RRZbR6P4+8tD6KgQoJvAz54aBiO4Muo4HMvg6xtqsaZWRCBq4PKHB0rKKXMBy7IJ91IQhIQCLZ7n4fF4wLKsrQORrkZtmLxeLwRBQCQSwb7NHiyvEhCJmXhgx/TgLsswuPSwGlS4WOwY0/DXlxNbM7VVCPjEAZZV8T9eHcPWkcJWvTMMkzPvAIAaD48L9q3C385uwacPrEaTl0cwauC/b07iY7f24OdPD2P7WBSyyOLk1T5ce1orrjm5Caeu8UEWWQyFdFz/2gQ+dksPLn9oAE/uCkHTE7kAcbD54i44W63SNE1Eo1F7r2eaZsp3n9rDzBbkPpRLUFySpJz1TdozkSsp7Qdm4nYsyxbt3hYyOVJRFEiSVNbmpsCyLNrb2xdNUDxXlCvGy5gVxsbGEuy2PR4PfD6fPcHQz0s94RCBCYfD2L59OwArMPG+f72D4am+OtQDjipMVFXF9x8bwnPdCuo9HAYV63MSx+BbR9XihR4VD24LQNGsa3JxDN69TMZpe1RieQUHhmHs7Hw6Ll23oih2pZNpmvbiNN+rKrOpWBZFEZqmwe1229cJWAuXx+OBYRjgeT6hR5QTqZwFkseFAsSFyJ4sRBZmPhmY+WA22XaZznGmavD5Yk2U7XHnIrM2l7+jjGPq90k9E/Op/i7WnFEMe3ag8L1KFyI8Hg/a29vnZZLPbLDUOdVSv/5iQNd1jIyMJPRHrqioSEgSo5+XEuQIJIoi+vr6MDIykt6CmeVx+UN9eLlHgUdg8eMTm7Giik/o/0b/ds67McPER/7Xg0lVx4f3q8E/Xx7JeE6dVSK+sqEOaxp8tgjzxu5RXHxnHzgG+OtZLTAB/Oa5UTzfY60Z1W4WPpHDrqQK9XV1LhzW5sHh7R7Ue4s3T2W7VpN1MllAO9c9j8dj85d0ApPL5YKmaRl7KlO1Rb4iy3ce7Mcr/fHv/8PpTWj25x+0y4UP5MsDZus4k4mTZtO3vNRuTdlCEAQwDJNwbfmM8fbRMC652+oX2+zl8YczW/KqbhEEASzLZrxOl8uVIPJTK4F8xrlYPcaLuQdY6r3Ha2tr0dDQsKgE3TKnKo9BMaAoit1bnFrRVFZWJiTUzwWvjMVitnZ499Mb8dnbd9u/O77Tg/es9uPSe/vBMsAvTu3A1Y/1omdSA8dYRTxugcHXDq/FESuqoKrqtJYTQ8EYPnF7z7REy08eVAeR0fHr5ywnpA/vW4NT11XiZ4/34fnd1nxN33H6ukp86oDKGdeHiYiOr9/fj92TMSyrFPDjExrhFUtTf5fNOkNaIxDnjbTG8zxvt8/LtOYnf4/b7cZdbw7h50+PoEri8I/3LoMsidOqaV/oCePKRyxe8J2j6nBwa7xowDRNXPX4MJ7uVtDs4/Grk5vgFtiCaD258L1MrSZ1w8TzPWHc8tYk3hqKc5L1jRLOXOfHhpXV9rmqMQPPdIdx/9YAXhuIf9bvYnFMp4wTVnjRXhnnyZn4UTa6VKFstYvhRON2u6Gqqn0NxNdmq7Xlqw273W67mj0VGIax99oMw0DX9YRWErnsHQppl1+KY1MlvKqq89rJt5jgeR4tLS15Of3NZ5St1NOgTDaXHqLRKLZs2QLAmtQf3zaOHz4+DAC46IAafGB9LSKRiC2SKYqCobAOF8vi7WEV33/E6tf4pcMbcFynG0pUx2M7Q7hzcwA7HRaVa2pFnLrah+PW1EDkWcRiMcRiMbhcVqYlZd6QjXg0GrUJViGDvqUGZalSr3T6f2d/JfockSaytHRWhScT2nQkNxuxaCYUYkHN1mZcFMVpPUwBazxe6VVw8xsjGApo+Nl7Gqf145mtBU2mMaRnk3qfZvu3uaLYxIiEb2dCSr6Yqc/kTKCNVSwWs8kvy7J2UJjneRiGMY0Q5zrWxbRbLaalEDlJJJNOURRzrsxaKBBFEY2NjQnJYosJS51TLfXrX6oYGhrCwIDFDWnOpMASJQJNKhF879FhvNYfhiyy+Nkp7WiVEwPjwHRr6mufH8d9WyZw9p5V2NgbwraxKJp9AnoD6QWJFr+AU9dVYn29gI4qFy69uxebhlUc0SHjlb4wQlEDPAu8b68KnLdXBXiWwWAwhqe7FTzVpeDtoUQ+tapGxOHtVpC8yVfYrPGZOIGz+gmAXQVF/TMJyQIT9QKltSUVR0sn7CT/bS648pEBvNATv57fndqItsr8qqqzXX9T9anmOM6u5naKWfl+RzqkG0M6J+L6qcayEHywWAl8BBqf2QTfz7huF6g46oGPrZ71fgWIB23oHwoKpxLPiWtlO9bFsrskFKotUyoQ73Y+0xQAYRhmQe6rZ4Lf70dDQ8Os3BvmK8qcqjwGSxVbt27FFfd14anu+Hx+/Tmt+MWzI3ihJ4zjV3jxwb0rcNlDg+id1CCwljMJA+DjB9Xh9FVue95zzuf9AQ2fvqM3ITi+T6MbPz2lDf97fQS/f95KwLxw30p86IBG3Ld5DL97bggBh7vQd95dh8OX+yGK04O+TgwEY/jKvf0Yi+jYq96F7x3bkGAdXizMFESmcSFXT0ogEEUxYY1wHodl2QRHolScQBRFhMIqPn5bD0YUHV84tAbHr/AmaMqEP744its2BeB3sbjmlCbUeuIJqAFVx+fv6sOwouOEFV5ccmhNyXW4VJ+jdiyUGByLxbB5WMWtb0/iqS4FxtRj0F4p4ow1Xhzd6U24330BDQ9sC+LBbSGMhuMcYG2tCyes9GJDhwcVspSWf7hcLru4KtX9ne9FPIDFf8hhYL4kh9I+lXQp0j/p/qd6FkRRhK7rWXO5Yo5pMbVlID5fOMfY2Rq3GO0s5xIMw6Curg61tbWLoqd4MsqB8TQok82liYmJCfT09MAwDMuy6C/vAAB8IoPbPrrWnvycwSav14tQKIRP3robPYEYfCKL2y9ca9uHmKaJ7QEG/9s4hKe7FZtwVrhYHL/Si1PXVqCtWgbDMFAUxRYeqFcfTazO14+y/+dTgCiToOEkkNQXnK6LrpesV5zHoAVdFEW7F0vyIpNpQZ1tFmUqwpoPks+DgvYU/KRrpj73BBqjHz8+iCe7rL//8oYGHN2RaJs+E6mYKZCbKTDuHG/qS8VxnP35QlTkFKsCJfk7ZFlO60aQDViWhcvlgmmaBSFagiDYgfrkAHa6cU3OKk2HYjtM5Cqo5gN678mlg54Rl8uV4D6yUOFyuSDLMrxeb8596RYaljqnWurXv1RhGAb6+/vtvuNklUzzPs/zYFkWw+MBXP7wIN4eUuF3sfjlGZ2oF621lwQnIDE4/kKviisf7kedzOHIDg/+91YAR7R7sHtSS0jG9IkMIjqm2RM2eHlUSazdLggAVte6cMnB1VhWlbqaeViJ4ZluBU/tUvDmoArnETurBBzeLuPwdg9aC9A3MhO3YFnWrlJgWdbmJVQJS7wymdtQshhVOxDvTkaxxJQfPTaIpx1i9jUnN6CzOrc2OEDqih2qjidOaRiGzWFprSQLx+S/S+XUkklIZFk24ZipkGpPkOqeEg8iS9JCBUdL4bI1273YH18YwW2bLU56ymofPnNQ9azPifaOqZ7rdFw/W2Gy2GOaah9YaFCiUXJSyGLoH8kwDDweD2RZhs/ns/fbixFlTlUeg6UKVVXx+Mat+MTNO+2ftVUI+PLhdfji3b1gGeBv5y2HrkXxzQcG0B+MwSOwUDRrPT+204vPHVyNSp+cMA+6XC5sHwrgs3f2QZ9a+lkGuPn9bXCJAv792hj+/opl8f3pA6tx9rtqMBRQ8ZvnR/H0Lmsd4xjg+8fWY+9GN1iWtblUKi6xfSyKb9zfD0UzcXi7B187ohYcW9zgeLaaITmEUvIAca5YLDaNH9IxKekwVTU56Vz/e3MCf31lHO0VAn5zapPN0Zyf13QTX7m3H9vGoti7wYXvH9uQMC6vD0Rw2QMDMAF8Y0MtjuiQs9aGMiEV76XkU1qXKfnUqVcka2LJ/bMHgzHcvnkS928N2c9gpcTilNU+nLzahwrJ2t/wPA81quHlvgjueyeA53vCdkDdzTM4qtOH4zo9WF0jJhQQJN9T556A2nIWan0vBa8sxLnSvrFQnIa4RPK1syxru3U5wXGcXeCXCZRMUYok1mKB5jlnUgj9nOf5Be+CyfM8ZFm2eeVitk4vB8bToEw2ly42b95sT/Bn39CF6JSYeM8FnXblLNkQOW3Yt44b+OKd3QCAzx5Sj7P3qoKmabbtXiQSQQQibn9zBHdtGsfwlP06ywAHtLhx2ho/1jdJcDuICfW4SVf1SeRjPgTIM4mYyZWrlElFwmZyZTghm8rcTN9bKHGTbDTzFWuSqyxIHKefdY1F8O/XA/jO8a3ged4mn0RqfvH0MB7aHgIA+EQWf3/fCohm/HjZCMi0kKUaj1REbyYiQVXYhRCwnHY885FwejyelEkZs8VMSQWZEhZoo5IKpSCahLlq8TCT/e1cgLJ9aQNN757z/6m3pyzLi84uPROWOqda6te/lKEoit2mB7DmLkEQEAwGbfEiGo0iqOr41oP92DwUQaWbw89PacOyaisxj4KH9Fme5xHVTZz59y1QdROXHFqLa54ZRoXE4tpTW3HpPb0YDsVsi8tllQIOanHjtk0BqHpqPlXjZnH2Hn4c0VmFZr8wY8LbWFi3guRdCl4fiNgCFgB0VAp2JXl7hZCXC0amAGkqbkecnJyJKFCejGw4QLrPFKLq5OrHB/F4V3zN/OV7GrCyJvfguPMc6flIdb1erzdB1ARS9/B2jmk2Vud0zHRcJFXCYybOQ99ZKBGLAqDF4G5OZCsAJsPtdiMSieCUf+4EYO0Fb/9gx6zOJRsLy3RV3zONe6m4nrPFVqkxH4PjZNuZjlMyDGMLl9TzdimgzKnKY7CU0bW7F0f++pWEn/3w+Cbc/OYYXuqN4KTVFbj4oEpMaCy+fPdu9Ac0+F0sAqoBE8C6OgnfOqoO1W4eLpfL5mi6rmP7sIJP3Ra3at+zXsKPjquH7HHjD8/24cY3rB7kXzy0Bset8MI0TTzeHcXPnuiHYVqV6efvXYH3TrkOUfA3VUuL1/ojuPzhAcQMKzns0wdWFdU1LdMcn+p31NqOWj4C092bgOz0Ro7jMBnW8NFbdiOsmbjymHrs3+xO+b09kxq+cHcfIjETH1lfiffuVZHw+3++Oob/vDEJWWBw7SnNqPfyNu+dTbGKk0NkSrLzer2IxWK2Q02qa0/mywbvwm2vDeH2zZMYClnPgcgxOGa5jDPW+bGqwWevbYqiYCys46HtQdy/NYjeQJwPtFcIOHGlF0ctl1Eti1m15SlUWx0q2Cg2T8jHnYqcYQpdODITL8rkJDTTe1EqXjlXWmUpiohyBTklpeOT9I8kSZBlOWF9WOwoB8bToEw2ly5GR0cxOTmJYDCYIGD97rRmrG2utBfWZHtvj8eDi/67DTvHovAIDG77yCqbNFBAhKyyTTB4oVfFnZsn8HJPfLFp8Qs4ZbUP71lXDcHUsl7IySIuk21RsZFu4cwUdKUNPZGafKyjcxVP80W+/RbpHtK/KavMMAxomoZfPD2Ih7Zb47OuzoVrTu9IyPLzeDy4+tEe3LtlEiwDGCZw3EofvnhIvLIk0zhRQFzTtISguxOp7tFMwdVMG4TZoNi2N0Du4lcx7B2zIWlUlZV8v6jPWDrhsNQEcK4Ip3PD6kQx7ThTwePxoLq6Gn6/f8mIkrliqXOqpX79SxmmaaKnp8dKjpxa22gNEgTB3jTHYrGp4Pggto1FUe3m8IvTOlAnmXZGPm1WqQrix0+O4MmdQZy3px93bg4gHDPxh3M6AdPAF+/YBUUzIXAMNN1Es4/HZUc14l+vjODZ3Znn62Yfj0PafTiwTcaaKnZGi8uJiI7ndltB8lf7InDG3lv9/FSQXMbyqtyC5KkC0ekSRp1uS6qqpnX7yYZXFzMwDgC/eGoID+2IH/+nJzRgbX12wXGqrnZW1rrdVnVWKBSa9nkSy0i8pP2Cruu2EwFVkjvXzUxiV3If92z51EyfLUQLpFTHzJRIWAjkKn45ee4nb+1Bb9B6lr9/dB32bfFk+tOsj5sO6fhapvciU0/RYoCe8bmwoUw1Pum4eLHAMAwqKipQU1OzqKu+Z4MypyqPwVJGSAljz+89nPAzF8/gh8c24Cv3Wb3G/3JOB2olYDAUw2UPDqI/oKHWwyMc0xGKmqiTeVxxXDOW+azANbli8jyP3z7dh1veDtjHPqhVxg9PakMkrOCvGwO4+Y0xsAzwlcNrcdIedVAUBa/0hXH5Q4O2k1BnlYAvHlqLzuq4AxElMDr52xO7Qrj6iWGYQMogcCGRbo1MNe873emcWm+q4Hk2axWtsX96aRS3vh3APo0SfnhcQ1pe9NC2IH7xzAhYBvh/JzRgXV2cI8YME1+/vx+bh6PYo86Fq46PV5Xn0/KEzs15LjxvJU2k4pWUHEkFMqRtUnANQILltnOcdMPEk10Kbn1rEu+Mxs/z4DYZZ6zx4l0NLpvHAxY/fXNQxUM7wnh8Rzy5l2eBQ9s8OHVdNdbVsNPaTNJ3ptKJZotSJNHNB0vybAtt0vHKTOdUCr13Lr/PiXQ6eym1Sp7nUV1djerq6iVVmJMLyoHxNCiTzTI2bdoEVVVxxg1W1uSKKgF/OHeFLUgCiRM+wzDoCpj4zK27AAAfXl+J9+1VkdB3hUiEc4EZUlnc/tY47tsyDkWbsgrmGByz0o/z9vCiXs5+8prLbPfkST+VxWBypp3b7YamaTaRcooyyX0h01WVA+mtuAs9HrlkHIqitRFgWRaRSMRekGlTwDAMNE3DHW+P4/9emrD/rsnL41cnN8Er8fa1//7FCdy5aRwegUFYM2EC+NFxDdi7UbK/KxUJTiUgpxqTdGSBBNVU15zpd7MBVbcX23pmroK5JEqnsxZLRqr7NV8qe5woVDZurkgWUOnaiz0XMgyDyspKVFdXl4XLLLDUOdVSv/4ygFAohB07dkCSJLtFRCQSgdvtThCewgaHr97djZ3jGupkHj87pQ3VomGLSmRdJwgCHnhnHFc90of2CgFNPh7P7Q7jI+sr8f69q/Bqr2JX4pCNpldkoelmyqpxlgHW1orYPBxNCGxLPIN3NUg4oNmNA1rcaPBm5qRBVcdzPWE8tUvBy33hhH6VjV7eriRflWSHmArJa5nb7Z7Wt40sL2n98Xq9iEajKe0TncejrPlYLDZNnMgkoBSqz/I1zw7j/q3x+37VcfV4V2PmtcTZn1tRFPt6RFFMsJInOJNmRVFMWKNnsq1Ot4amGptkYThTexxZlqe1pHL+LpUIO1uUip9ky72cn9s1HsXn7uwDAPhdLK4/ry2n73TOB9lynlRC/lxxuHQodj/zTEiu1qJkpOSevIWGIAiorq5GVVVVWbicAWVOVR6DpY7l37wLycvsqav96AvF8FKPYvegdrlc2D2m4Bv39WEgpKPRJ8DQdQwqFjl7354+fOrwVhiGYSfdPbdrEt96oC/h2Ie0y/jmETVgGeC3L4zjni2T4BjgsiPrcHCbldB14+vj+MfGuKbFMcB797KqxwUu3qc4mXfcvmkSf3jRsmmnSvRiIFlbJPtzZ2ER/cxZ4U5abiQSmWYd7VzPeZ63LdeTORBxqsFQDB+/tQeGCfzq5Casqfek5EOmaeKnTw3jsZ0K6mUO15zSDK8YT77vD2j4/N19CGsmPrh3Bc7fuzLhe7IdD0mS7GIlAHb1aCwWS5swQImWzu/KprWM00HUNE28OaTi1rcm8dzusJ1QsaJKxDnvqsJhrS7wDgt5t9uNoYkQHt8Zwv1bg9jqCKo3eAUct0LGcZ0y6pJ082LxylJo7vQ8ZZN4UUjtj9p8JWvz6ZCKr82UMDIXgeq5jJM4v5viQjTPFDPpVJZlu3hnqVR+54tcOFW5DKqMJYXVq1djn332AU0hO8Y1hMNhu8ICSKxwNk0TbV5gVY0VMLzx9QmbZCqKgnA4nHLy66iS8PnDG/Hv81fgkkPr0FntgqqbuG/LBIrcaqegoGAUEO+D7FygPR6PXXFABFPXdTsISpmKBMpUpIpnZ4Ws2+2Gy+WCx+OBx+NJ2++iEAKGKIpwuy2ro2yFCrJed36/k0A6hd2TV/sS/rYvGMNFt/YgqMefM3oOOJbBe1Zbm4XfPDdi9wyNRqMJz6Xz3JPJtqIo064jVZUrEVxauMnunOAUogHY94Hn43ZOdE50r5xIJ8Y6LauoMlqSJHg8npTXmC+cz+tMKMT3iqIIl8uFWCwGRVGyJkGRSGQakZkpw3AuiA/14io1KJuWxGF6JqnfV6EhiiIaGxuxdu1atLS0lIPiZZRRRlbweDzYc889sXLlSrS1tdn8iAKcgLUWu1kdPziuAa1+HkOhGL56VxcCRlxgIOchRVGwTx0PjgG6JjSsmOoL/nKvFTg9eHkVvrKh0foOzYBPZBCMGlB1EyurRVx7SiPOXue3+YVhAlVuDted24rLjqzDCSu9qHZziMRMvNATxu9eGMXHbu3BZ+7oxZ9eGsWrfeFpfcsBwOvicGynF5cfXY/rz23DVw6vxWFtHogcg/5gDP97axKX3tuPi27twZ9eGsXbQxEYaYKo4XDYTiSgtkFOoYXjOJsn8Dxv21MTpyELRQL14AVgJ6vSeirLclZcoxDriiRJ+MYx7Th7zyr7Z998cBAv92ZOeFMUJaFylfrUR6PRBGGXEjOdAqSmadPGgs4lFVLxjHT98pLHhHijEyTA0vObilOnsl4nXkmcksS6XDi5qqoQBMF+z+i/s+WA2SIcDmd1Tk7+11EpQph6BydVA8Fo9hUkTrv4XMS+VOc403Nd6r6ClNgyF6BkZiBueU+OHcWA1+tFe3s7Vq9ejbq6unJQvIwyypgRFDR0C3EN584tkzhjtTVvPrQ9iIFgDBzHoc7D4UfHN6JO5tAf0BJ0n/+8GcCfnhuAEg5DURREIhG0+qbrQs92hfDjJ0fgkiR8aUMTjl3hg24CVz0xhJd7LT57zp4V2LPeWvt9IgvdBG54fQKX3tuH7aPpNbnT1/px7p5WIOKaZ0fwQk9xkvsNw7C5BPXPJl4FwO4R7uQwHo8HqqomaDfOtcAwjAQOHwirGAhEsWsiCpfLZXMNGvN6mceGDuse3fLWpM3jksEwDD53UA0avTwGQzp+/exIAkdq9An43EE1AKwx3jZh2mtmNu51NA7EHei6aVwATNNxgURtlXRu+m/i7On4BHFTur696iX86ORl+P3pzThltRcujsG2sSiufnwAH7+tFze9OYGgqtvf63NxOHm1D788uQm/OrkJp6+rgFdkMRDUcN3GcVx0Sw8uf2gAr/aF7Wtw7hmIUzp5JQWfndeYDWjvRtxIFEV4PJ60nDofUNvRbFAIfkLt/mKxmK3NZwNy63KCNP50KGW1NEFRlILen1y/27kHcb4vhQbLsqiursbKlSuxfPlyVFRUlIPiBUY5MF7GkgIt9B011iJJ/ROdgkaqDL8vHmpZXKu6iX9unEhbNUGLD5EyiWdw+p7V+P2Z7fjxCQ342H5VqPXktjl2TrpzAUVRIMtyWlvuaDSKSCRiW4pHo9EEsY5ETFmW7X7TtKiGFAV/emkMn72jF6NKzCapzkCvJEkJE78gCNNIjiRJOY2RplkJEYqiIBQKzbiASZKUcP0zLUQejwf+qQxQfmqWDUYNfOjf29AVnLLIJOHaMPGJgxpQ5ebQE4jhpjfjWblOsknHTZeJl0xUKCvU+XsSH0lQjUQiCd+RfAxVVaFpGmKxGGKxmG0BBFhjaJomHt4ZwWfu6MXp1+3CR27pm3bOBMMw7I2KruuIRCIpA/qzhdPyKRNmK4TTs55PNQ5tuJzPMr0/BCL5BKeoVypomjZnc48oijAMwyaahGRhfjbw+Xzo6OjAqlWrUFtbW5SgexlllLF4QXbE9N+madp9vpzVJgBQKXH44XENaPLxGAjp+PKduzCixPkmzbVekbWdY1TdmvveHlYxMhFCOBzGCWuq8PED6wAAgWici/YGNER14KL9q/DzkxpR57Hms6e6wvj+o4NoqxBwySE1+PvZLfjt6a24cL9q7FnvAssA3RMabn07gG8/NIgP/LcbP3h0EPe+E8BQaDof9ogsjlou47J31+G6c1vxjQ212NDhgcQzGArpuPXtAL563wA+enMP/u+FUbwxEIFuJHJmsv9O5tuUIEk8kCq/6XPE4aPRKNxut12pTBb2gCVKXvHwAJ7tVmxBmLgerR+p1lLnz3iet3t8ZwMKtCmKgov2jYvBAHD5w0N4fndq28pUlSDUIseJ5H7XJFiRgEnCHbXWoaTNZKiqmsCPqIooVVIfOR84QckMzuumv3e2U9o+FsUfXxy1uSaBKimIV5LIRt9PnNTj8djCM11XKhCXd/43WaMWEtk8B8ljePYe8WfgqseGsvoeGsN8Kk0ogO9MDkhOwky+n5SAUkrMpYhJ1+vk7aqqFqxdDsuyqKmpwapVq7Bs2bJyNU8ZZZSRE/ipuej9B7Yn/PyPL41j/xYZugnc+EZcJ2rw8rjq+AYrOB6MJRTfXL9xFFc/OYLIlMVPtZuDLEyfj57pCuHKB3tgmga+fEQ9DmvzIGYAP3xsCG8MRMCxDC49rBZugUEgamBDhwd+F4sdYxq+dE8frts4jkg0llIvuGB9JY7plGGYwI8fH8Lm4eI4mGiaBo7jUnIqCpQSPxBFMaG1ofPvqTjHWVk+Gozgwzd146Jbe3HJnX3YOhi0j+WsFn3vPrUAgMd3hTASNuykP4Lb7bbWZ5HFV4+oBccAT3YpeGBbMOF8j1ou4+jl1pj98OEeDI4Hs1o3M7UrmckSm3RtnudtvYnGRhAEW3tMdQ7JfIXGt8Uv4DMH1eCvZ7fgI+srUSVxGA7F8LdXxvHRW6z9Qc94IlddUS3iS0e24MYPrsRXN9RhfZMHJoCX+yK44uFBnHfjbpgsm8CHqdqfeKXd4nTKBp4S8txuN57ri+EnT49CSKNV0ljRGEajUSiKYidiFgr0TJYC1N89H9C9pUIp0uUIlBxL0DRtTpIf56JFj/O7aQ9IKGS1uMvlQlNTE9asWYPm5uY5489LAeXAeBlLEr/5wH64YP9aPPjxNQASJ7DkhY9lWSyrcmGPqV6Bt749iWCSPQ2JN4Zh2AsxAFukYlkWB7RX4sw98uuxQ5aJc4VUhIBETWeSgLPixVktTpXmJEbQ9TAA3hyKomtCw/O7xgHEA4LJ9pAkaFIVhXPhzSXr3+12T0tsyJThlqrHoPO7SAh0CnkMw+DgNmuDEDOALx5WAwZAVDdx8W278NTOIGBY32kCEBDDJw+wki9ufGMCPZOaPU5k/+T1ejOeZ3KGGm0QaJx4nodpmlAUxa7ETbbJoWxa2hgkfx/DMNDB4W+vjuND/+3CsX/chJ8/OYDuCQ2GafUkzbWiP9lVYDZwu90IBoN2NTxZkabCbMWq2XQhofuU/CxTTydqR+AkzaXqAzkfQBaXyUQTmN2407Hr6uqwevVqdHR0wOfzlYXLMsooY9ageYTWV0IsFrM5YY2Hx4+Oa0Cjl0fvpIZvPTiAsbC1zjrn+COWWa4zbw5F0eTjoRvAmyPxIPKZazw4dW0in1Q0E996cACv9UewssaFa05pshPz3hyK4vN39eKG18YRM4B2P4fz19fg6hObcP15bfjGhloct0JGlcQhHDPx7O4wfv3cKC68pQefu7MXf315DK8PRBBLCnC7BRZHdMj4+gYrSP6td9fhqGUy3AKD0bCOOzYH8I0HBnDBzbvxm+dGrIqPqWOkmnfJjckJmvMpyEd9D6mamngKJSk8u2sSL/VGMBljbT5OlUTUpxyIB3XJclNVVZtnktCWbcAseV366L5V+OC+Nfb/f+/RYTy1Kx4cT2X9l7zGO4Oc5PZDcD5TJNCSgEegpNRUFdzk3iTLckZukcytw+Gw7RAFxLkz8XWO4xBUdXz9/n7ctimAJ7oidtA8E88je3i6/+TIRYkNuQqSJH4XAvTc0H2gJNNkJCd5nL9P/P3cODBzMCAX2/RkMIzVT5Z4PwXJ6V7RP8nieDQandO9ZalAezRKoEl+5meTcMkwDHw+H5qbm7F27Vo0NTUVNIGzjDLKWDqgivFz9m9BpSe+7nVPxnBQq7WGPrgtiP7JuNbS6BVw1XENqPNwSKJoeHJXCF+7rx+DoRgkSUJnTVwnOn/vSttB86ldIfzgoT6wLINvH9uC/ZslqLqJKx8ZxOZhFQ1eHp+a0qme7lLw1cNrcFi7x64e/9I9fXh99/i0dZ5hGFxySA32a4ofjzSuQiOVIwm1H0zWughOnkSuTcRr6Hg3vzWB8NTyrpvApff0Ydu49RlaP10uF1bXSljf7IFhAne9E7J7uxNfYBjGPvaaWhc+vL4SAPB/L4yheyJxTC4+tM6uKv/NcyO2fpdubSGem+y+RDAMw9aX0jnrRCKRhKImahVKx0yXdEmOTqIoQpKkaXzN7+Lw3r0q8JezWvClQ2vQWe1CJGbijs0BfPL2Xnzrnp3YNm7YblGhUAjQNRy93ItD2mX7GdVNIKoD512/E1EdCUkMTpBmTO1oDMPA5r4JXHrHTnz/oR48tj2ABzeP5RRgNE2zYFoRJbqapglJkhKcVFN972yQSsvNFk63UNKOgXjBHu2lksfFaeG/mEEuVaZpTnsGUzmD5gKe51FZWYlly5Zh5cqVqKmpKRfvlADlHuNlLFl0dXVBVdUEyxmWZROCss4KiN7JKD5xWy8A4Mx1flyyocXuJ+kE9UakBZ4ClmRnk2/vDTpeqor2fI/nJFGiKE7rle6Ex+NJsNexyYsDtEBQHxuq6qExcFYbezweaJqG/3tuEDe/NYn3rKnE5w6sgCAI0HU94TwogJvcu4QWfBI7KVswHVId23kspyhFAelkoYoqbJxEgyyKiHgzDANFZ3He9dsBAB/apxJ71ov4zkODdm/Od9W78PqgCjfP4L/vb4dpmrj84UG80hfBPo0SfnBsfcKiSudHllCpAtBkIxSNRhPOz5kRS71lKMsvWSija3GO43Awij++NI6XehUo2vQlg2OA5dUuXLBfLQ5ui9ul5yLy5duXRpZlmzg6bUcTzm/Kup1sVlmWhaqqdp/OmUDjCsQ3Nvn2bUx1nWRvn653Vaa/LTZK1duchF16h8liNtXnqBdWNufFcRy8Xi98Ph+8Xm/ZzrKAWOqcaqlffxmJME0Tb775ZgIvAeLuIsQ7JEnCruEgvvFAP4ZCOtorBFx1fAMaq7w2x+sfV3DBzT0wARy/0ocHtgZw2rpKfOHwBgDWplsQXbjwpu3onbTW6s5KAdvHNQgs8I0j63BwqwfXPjuC+7YGUe1mMRq2vr+9QsDFB1djj3pp2vxumCa2j0bxUm8EL/aGsXlYTRBaPQKD9U1uHNDsxv7NEmqSHJBEUbQEvEgUGwdUPNWl4OmuEELROOfyu1gc0ubBkcu82LdFhiQKCYmmTl5J4haB+m07E1BFUbTXRZfkxml/24xIzMT/ndmOzhrJDmpSMN2+lilBzVmNTYF3qrBIrhxKhUz97W58M4B/vDJq//9lRzXi6BX+afwh1dqe/DOnwEoBUKrATschaAzT8RX6DnIjSsWNqQd8cuCWHIRoz0RuCaZp4p8vD+FfGydQ7ebwhzPbUO1zJ/R3dsIwDHv/4bSNp7WarPEp0Tjb5Ev6fK4yBwXpAUx7ZpyQJCnBbpS+h8RkAPjCXb3YNmb994X7VuKcPSsS/t5pS5lu/GcCx3EJ309Ix92Se0TORX/GTP3qCwlKtKZEAeL+yaB3PrmdVDpQsrLP50uw0y1jdihzqvIYLHXs+737MaZoePDSI/HwpkH86O5N9u9cHIO1dS5s7I/gtHWV+NT+1npC6273WBiX3tOHSXX6OlIpcfjWu2vxyI4Q7t5iVSifusaPI1dU4Gt3d9ufO3KZjMuObkIkGsPlD/bhtQEVssjiquMbsLxSwFWPD+PpbgVtFQJ++Z5GvNATxm+fH8WkaoBlgPP2rMBHD2qAHk2cR8OagcseGMA7o1E0yBx+cmIjqrN00KSWdbReUnu+VCD+7XQPTNZq6TPELSnQR8UklDCmKAomosBF/+uCqptw87AD5BLP4PJjm3BQmy/h2K/0R/GdB/vgFhj87axWyKKlK1PiJhU9aJoG3TBwxZTut6xSwM/f0wRxqme7y+XCaz2T+Np9/dDNeI/2VH2f0/G3ZA5AvCqZxwGwdU3SZ51jkm6cU/EGchAiHpXqM6ZpYtMY8O9Xh/BSb/z46+oknPuuKhzQKMDkJVz1cDee2536+0UO+Pf5qyCxqfu4U6HPeDCM/7wxgVvfnkTMAESOwQfW1+C8vSrBs7knJObLl5x80ZlskIzkZNVoNJpSi850fsnPdj5Id52pnolUz2SpOB6hlPooJVSQq1ay5k6gfWe63ztByZukVZLOWcbskQunKgfGy1iymJiYQCgUsoUWqjzJJBh8+6FBvNoXBs8CN763DSKfuBl2LhhkP07WNhS8nU2QKVk8yheURZdqEXG73fZk7AzmJ587iTkkWlHgnI5Ji4VTLHJ+ho73cm8Ylz88iHqZx5/PbLYFPiCe6ckwjB3UdooWyYJfsuCTjFSLtxNer9cmJOnIRKp7mBxwp8+cdf0uaAZQL3P4y1mtGNV4fPrmHVC0OOmhwDgA9AU0fO7OPkR1E18+vAZHL/fan0t+FnMhrJTVF1IUvNQXxQ2vjeG8Pf04tM2TINpTskQ0GsWmwQj++soYtoxEoaXQ6lwcg3c1efDpg+vQWTNVHT+VDEHici7POlnz5yIM0nVl+z2piF6qZ4bENMMwbJGzUEtluo1Kqk0NJRjQBjCTwF0szPTOFArOdy/TpsEJURTtRA8n3G43fD4ffD7ftFYMZRQOS51TLfXrL2M6BgYGbE6p67qdwONcP0gw6Ato+Pr9AxgN6+isduGq4xsSbC6/el8/3h5SceraSty5aRwNMof/fHgtotGoXcnys0d3464tAQBAhYvFyhoRL/VGwDHApYfXosnL49J7+yGwwKcOrMa/No5jPGLNs+9Z5cUF+1ahvtKblu9MqjpemQqSv9Qbnia4dlYJOKDFjf2b3dinxY+YNn2tMMDi7ZEYHtsRwJM7AphU4wKBLLI4pNWNw9s92LfJjUq/1+achmFAlmW7PQ9gCRLU1sVpYUnC0a4A8LnbdsErsrj+vFa4JWka96begwzD2ImETpE1mSdkEsJmWpMFQcDNb07g/56PW2l/8ZBqHLfSl/C5VKKOLMt2koDzGhmGgSiK9vcSD4rFYinXTWfwNtP5U3JaumtNPkdZlu0KomRew4sSLrxxG/qCMZy7VyU+fkBNSiGbrpGqnejfzuocsldP9T0zIdfPzyS6J8PpOEBwcqYdY1F8/q4+ABZnvvuiNQm8slBIvk5Khk11L1MlGJcyMD7TPq1QcFp8ZkpwSEaqIANVhXu9Xni93iVRZT8XKHOq8hgsdRzwgwcxHFRxzxc2YHmtjCOvfgSDgTjHOKJDxpO7QuBZ4A9ntKBe5hPm9O2jKi65uz/hmCJnVdryLLChQ8YjOyxesaxSwO/PbMfL/Souu3e3/fmjO3345tFNmAiG8Z2HBrFpWEWFi8WPT2iE38Xi4jv7MBbRcdoaHz51YDXGIzp+//wonuyy1pGOSgFfe3cTOnyJe+/xiI6v3tePvkAMy6sE/Pj4Rshi5qSidOuTM2nSqR052xgRaB2gCm5nMJQSyyjp3plwyPM8rn1mCHdtnsSaWhHn7VWFHzw6YB+XZ4EvHVqLozq9dvESw7L4xP92Ytd4FBftV2W3VEluHUTr4FhYx8V39mJCNezxdF7zf9+YwN9fHYfEM/jVyU1o8QsJBSHJ/JWQTlNzcj5axyj4SsVRpJtksuBOx61SXSeQ3up613gUt70dwMM7gnbhULWbg6obCDlaRQksoBkAzwAxMz7+fzmrFdXuxEpa0h+f2R3BH14cxfBUS6hD2r24+LAGNPkEOwkiH+6TK69MlZibCS6Xa1qBUqpzJc5O95mSRwqBVPuGTJpr8vmla9FULJSKxzpjJNkWSREXTaU/E6+UZblcEV4k5MKpyimuZSxZVFRUoLm52e7XUFFRgcbGRnR2dqKjo2Pa50VRxBcPqQYDyx77/14cm/YZ5yKgaZptKUOLG5GvfEBVq/lmEdECSlUK6TKrnH1zwuGwba2THByjanMKijs/S8ehSl0aFxKM6fNerxd7NbohsAwGQzEMq/HMSrfbDVEUE8S+5Kz8XAJ2Xq93xs9TokSmxTUcDk/ro0Q91anChUjDymqLdA6FLKLS7OPxpzOaEkicqsetPlsrJZy/TxUA4M8vjSGoZrZOT1el4Ews8Hg8CIYUPPTOOC65ux9XPtyPLcMqbt8ctJMjyHb8sZ1hfOymHTj9ul34yv0DeHMoMSjud7E4YYWM689pxe0fWYGrT25Hkyeeaarrum2HmeszSn87E6gHFPWLyoUEprKhoj7flCxCTgZk4elM7igEwuFwgmUS9UNKRYhIHJ4rssQwTEmC4hzHIRgM2vNOtqIp9XinTa/P58OKFSuwYsUK1NfXJxDYMsooo4xio6GhAc3NzaipqYHH40FFRQXa2tqwcuVKVFdbNpTEE5p8An5+WgcqJRbbR1Vc/tBgQmX1oVPtWHaNWcmYAyEdW/rG7TVQURTojqVpQjUwEdGxocOyt/zpk8PYNqqis0qAZlhc43enNeOEFVbC3T3vBPG5O3vx6NbxlL0hAcsC8d3LZXz58Fr869xW/PykRnxg7wqsrrFa4Wwf03DjG5P4+v0DOOe6bfh/TwzhoW1B2x4eAFgY2LOGxWcPqMA/z2nBD46txylr/KhycwhFDTy0PYTvPTqED97UjSvv///snXeYXHXZ/j/nnOkzu7O9JrvpCUkgoUPovSuCCKhYUV9+NlRUVERQEF8L9i4qig1Bem8JhHTSe91s72V2+mm/P858z56Z3U12k5DEl7mva69sdmfmlDk73/vcz/Pc915e3tqNKVs24rFYLCuzTog/znVJiEg+n4+1LVaTwOxyL0FHPqLT5l5wSud0ssC+CsO5yLXMHwmqqnLt3CI+eVKx/bOfLOvl2W2RrMeNlOctIowEv3JmQYr7C9F4ITIRBY9xWiA6p+Bz4bxnGWtjosfjGXZPIHixiK/R1RT/c6qVt/nYpn52d8dta3inladpmrYwLd5b59SuaDh1CuDjgTNOaF/wer32ZPx4OMNIBW5d1+04n2llfryZSySlm2xs7rcz1g8lcnmwaPIe6R5htPz5w4XD5dojhEhxLztWCMtQ8VVeXs7MmTOpq6ujpKQkXxTPI4883ja4MxPDumHicyt87oLpAFmW58fXBtEMeKlZsiMzBKaUeJlUlG3LnNZhQqELzcAuigPs7VdJmwon1wb49kW19s9f2z3I/y5qx+uSuOv8CqaWeBhIGXzj5Q7iqsGtC6yYmKe2DbK6NUGRT+H2s8u5/awywl6Zvf0qn32ykb9tiKA6SGqRT+E751dQ5LPyye99vSvr9wIi0m+kaB2BVCqV9fku3H9y128RyZZMJgkGg3axV0w0i9g2oSmJ15Zlma4EPL/d4mofP6mM0yb4qC2w1i9ZsrTgH77ZzXM74zavdLtcXDvX4ntPbo2gGabNLZwQ+1nsV/jCgrKh89mhZnGra2YXclylZT3+g8XdqLppN0zG4/FRm/gEJ8jlAMLyHLCbbMUxOzmj0IJhyFLbySuFI2ju+c79v6qqo9qES5JEfZGHz51eyj9unMaNxxXhc1kxTM6ieNgnUxqwiJRLkbh4mlXc0gz46H+a6VcVm1d6vV6aB1TufLWT7y7qpDumURly8c1zy/nORTVUBhX73Didp8YDca72B7E/47UWF46WuRA1BcGlxd+HuP4PVVEchqz3ndiXa208Hs96/OHW3g7XnK9hGPbnzlgHlcRzBO/2er1MmDCBGTNmUFNTQ2FhYb4ofpQgXxjP4x0PRVGora2lvLyccDhsF8lGQlnQRV3YWuATmcXBSQycFuy6rpNIJOzJISFwjffDWwg2zmLdePPLnF1e47EaEfkZoiAv4OxOFVPgTttDwJ5qcQoSgmwK4SGVShHwuJhdaS2mKxsjdudiLmFx2ocLYS4QCBAKhXC73Vk2NbkIBAJEo9ERxSAnuRnrezNSUVrY8DvFzQ/OK7JeF1jTYh1zZXEBf762jmJfphvPhE8/2UwiZTUZXD0zRH2Rh/6kwZ/X9GdNDecSDY/HY5PBYDBo5+2Igriqmzy+vpNbnmrluwvbaehL43dL3Di/lG+eX41qGPxlTR/XPbSDi/+4g+8taqMpotnWqRJQHlD40LwiXr55Jo99aAa3X1BHVWmBfT0KpwVhtSk6Fg+koComxITAKsRTkd/u8XjsSTFBzsYjMCqKkkVkRHFBZEqJY3o7IQrvAsJBYbRrT4ibR4I0jTfX80BxsHmMqqpSV1dHfX39qAWePPLII4/DhYKCAqqrqyktLaWwsDCrMCm4g9vtpsyjc++FlYR9Ctu6k9z5qiU8BgIBTp9o8ZVNnSlmllmfkW+1xO2sQYCUMcQJXDLs7FVJqAaXTgthAr9c0UdlyOI4L+yIEvLIfO70Uu6/so4JhW564jrffrWNrz+3l6ix7897WZKYUebl/ccVcf9l1TzywWl8aUEp50wKUOCRiaUN3tgb58dLe7jp0Wa+8GwbD63rZ2tXys4VV2SJU+rDfOmcWh7+wHS+d1ElV80soDSgEFdNFu6J8d3Xu7j2oZ1855UWFjfGSajZk5uBQCBLnBFd+8lkki3dFu+YVxuyGzdVVbXz3oRtNwxxVdEwJwRBwTlEY+donFlMHeUKWKKgJpBOp7nhhCr+38lDxfFfrezjia0D+zzfmqbZk+K5IpzYL8H1BP8VrlKaptlcTBTVnfspy7I9OeWEEDsF9wqFQlm8UjhBieKuOF/i3AooisIZk8OcXhdCN+E3K3tRVdUu4gshD4ZEcGF9LqZ1k8kkuq5nTZUfCK80TdM+Rx6Pxz4e8TPBW4Wzw3i5lvO8Oh3CxP5fc8yQO8D3F3ePe//Hgtx9Fu/PaBmaTpHucONwCaYHM62kaVYe7/Tp06msrMxH8OSRRx6HBUomY1zVrc+v9500kbqSAEIhMIHuuPW7R1a30BXLnhINBCz3nVw0RzQumBrK+pkJrG+NkkwmqSpw8+UzSu3fvbIzwo+XdBNwS3z7/Arqwm56EzrfeLmDurCbK2ZY69pPlvYQSVnWzRcfU85v3j2Bs+qtnO1/rOvj1ufa2dEzpLtUFbi567wK/C6J9e1JfrykGyOjfwhOIoreY/0Md7qDONcXZ3O/cHIR3EzTNFt3EdPRTvh8Pv6wvA3dhFMnhphdZul7XzrLijMyTKgr8mACv1jayUPr+m23mQunFVLkk+mO6yxpSto8SRRKhV27wEm1fq7O8IQfvt5Ob2JoiEqRJb54RhkFXpmdvWkeWtcPWGv4/riKYRjD9BUxYT6SViIcQAVnEtxGTIHn8kpng6nQKoWFuROqqg5rinR+eTwetHSSXT0pkplxcK8y9H4Mpoamx3XD5POnl3DlDOta1k340L92s7V1gL7BGH9c1c3Nj+5mTVsStyJx47FhfnVlNadOsDis2GfhDnCgMSgir93r9drvqfM9FlPlB+ry6PybFk1+yWTS5vfjHQwaL1wu17B9F4Mro2l2YtAKDn9h/HC5EB2Ma2c8Hqe0tJRp06ZRVFSUH9w5CpEvjOeRxz4gFnwhBgF0ZixZVrWk7FwfZ+62yDJ2uVz2v0IUHW9RXOQb5na7j6c4LiY7Rtu2ENachMXr9doEIpFIDMsSF4uxKGCLxVoILeJ1otGonesmfuckWqqqkkipDGSmi1a1WMcpBDcnKRYZcWLyO5VK2dNEYp+EXbuzoO+0LxGZOWL/nAXHlkiaf27oZ03TAIyBKOWefyHkJRIJO4f89Kmldpfv3zcM2J19MgZXzhwSy/b0q9z8RAuRpIZbkfh/p1iTZc/vjLK5M2HnJQki63a77clsIeZpmmYXqnsHBvnMYzv58MMN/GxZD62DGgUemY+eVMav3l1H52Cajz3SwJUP7ubhTRF64kMisyLB5CI3XzurjKdvmsRD10/mQydX2vajgE0qhcgoCJqwLAVG7CoUNx/iS0y+eb1e3G436XSaWCxmN5Tkuhek02mSyaT9no230US8Z84C++HEvqbRRrtRgaHi+OEmUf8tYqCu67S0tAz7nMojjzzyONrgzIkGqC/ycO+FlRR4ZbZ1p/n2a10kVIPqAjeTitwYJpQFrALmm81JNrYMILktISaRHhJGKoIuPIrEqtYkYHJtxsJxaVMCRYLGAZWt3ZbDxowiiZ9dUc31c8MoEixvTvDRh3fx1LaIXcTeFwKBAF5UzpsS4stnlvPQeyfwg0uquH5u2HbK2dGb5p8bBrjthXZuerSFHy3p5bU9Uboi1rqeSiY4qb6IT51cwt+un8wPLqni6mMKqAi5SGomC3cP8r3Xu/jAI8188/lGlrSkiaV1u6gn+LaYrAbY2G5xyFmlLns6HLCnjkXTKmAXjEVzq/i/02JT2LY7m/XAWsudU81CGBMOSbkFSV3XuXxmIbeeVmL/7Per+nl0Y7/9/5FEOjG5IxojxbSO2Eexz2PJp3byBzGdDdguVIJXin1xTg2JZozcexHxfzEpLqawPB4PhmHw8RMK8SgS6ztSvLHX2mdRwBdRKE6HI8EFvV6vvY+aptkNuCMdYy6vFI2z4j5GHINwABLvsVNodDYIjFcoFfsk9jFXoLtubpH9fcugRvoQi5n7svXcl/B7pIrjh8tec6x2+KMhHo/T1NR00K+TRx555DFWuOShiXEAj0vmCxdZU+NKZg1v6kswqyqEqps8vKHf5jSKopBIJJhbObI+uLo1zmdPLcn62eI9AyxtSvLJ/zTwwzd7shwNX9sT595FXfhcEvdcUEF1gYvOmFUcv/qYAiYUuuhN6Px6ZZ89FVngkfjqWc7p8TRfer6dB9f02dPh00q9fP2cclwyvL43zgNv9dn8Zl8FLqEXOYuQYmI+mUwO4yh+vz9rclrTtCyXRKFNxmIx231OcIGtHVEWNVic5SMnWufMMAxmlrqpD1vaSGN/mqtnWznv/9wwwC9X9BJPJMHQuPZYq8ng0Y39xGIxewBDaKaCLwo98qMnlDKt1EMkZXDfwlbcHq/tYlgd9vO50zKvtznC2jbrGA9kqMAZ8STOi9BDxVonzqXQvUfTngQ3A+whGZFvLbiqx+OxbeOFtiveJ3Fe1rcM8rln21jRksAtw/+cWk6B1+ItpQEXhgmDGTct1YDlTTE+eXIJ12XucQzgM8+0cfPjzfxjXS+aAadMDPLAtZO5+bRqCoN+e1BLcDShqY22vjs5JVixP4JbGoZBNBq1C98juRfkuouOp4gthniE7nu4srOd24fR93lfWqSzOH644Lx2304cCk20p6eHrq6uw5q/nsfY8d+heueRxxGCmDIRi8CK5jiJTDfblTMK7OlmIMs2XBAOr9dr2/eMd2HbX17GaJ2CYnJZ/N75GrmZMyJLbSwFQucC6RRanMelaZq9cAjBUVhcim2m02lcLhf9SYNfLeliUUPc7oR9qzVBT1yjNIBNHp0wTZNoNJr1s9yMcSEQCiE0t7srNzPHNE2+/lI77VGVzpgBWFM8XkWiyK9QU+BiWomHYyt9zK3w2rnyThtO0QQhzrsgW/F4nMqQi/aoxs7etG35qSgKSuYcypLVedqbMPj446385PIqjp9QwIVTB3l5V4xfLO/lp5dX21abznwgZ6ZSPB4nrho8ub2XB1Z22harIQUumF5gdZqu7uZPq4ZPrHgViblVfj51agXTywN2R6JhGFlZTLlwiolCWN3XRE8uERDX1Hg68JzZkyIfdCSMlP0pumcPd073WLEvsiluKA4XhH3rfwt0XaehoYGamhqKi4v3/4Q88sgjj8OIXGchsX77/X4mAd8+v4JvvNzBxs4k33i+kW+eU8ZZkwtpWNNDf9L6LN7YnuDW5xL89AqZOdUFxNJDYkB3XOeLC0r53ze6eX5njA/PL+JD84v4y9p+mw+8uDvBMeWWaOFRJG6aX8RZkwL8YlkvW7tT/HZlHwv3xPjsqaVMKh6ahBUWiiI3zskJXC4XaBrHlHuZWxXgk6d7aO2N8lYml3x1a4JISue13YO8tttyoplR5uGkGj9nTi2mNmAiSxJzKv3Mn1DIp4ENLRGWNMVZvDdOe1TjzcYYbzZauZonTwhxRl2C0+tD+DLn1OPx0BYz6E/qeBWJqcUeWzAVgokoso70vuQWFsXxeb3erOcJQdZ5/KJxcV+8QhTvL5xWgCLDj5b0AvCntQOkDbjxuCJgaBJcTLCbpmlzTMDmZmIf3G63zSm9Xu8wfuzESAVSZ7OomAYR4rMQOsX+jwSxH+LaENe4sHWfUhHmxvlpHnyrmz+u7uPkWj9+t3Xtj8TdRGFbcEXR2LsvJ5hcXplOp8fdiDzWYm0uf1QUxRa5R+PJHpfMrDI3W7stwf+nS3v58pnlY963/WFfx7k/q9DDXRw/nPw7N+v0QBCPx9m9ezf19fUH7WyURx555LE/uJTMRLOjQfFd82r59cJdbO8YWt/3dFvrzfPbB7j2mBAVBR77vn1OuRcJyF0Z+hIGi/fGmVXuY2uXpa+9sDPG8zutpnIT6E1k3/cvb07w3n82UVPgoiqkMJDUaR3UuPOVTj55UjH3LOrijYYYJ9f4OH/K0ET6mfVBjq308btVfSxqiPHvTRGWNye49fRSZpR5Ob7az21nVfK9RR08sXWQ8pCHq2cNTR87NQjBR8aiVQoHS+dnv9/vz2qsE3qK0KxEYx8M6VIPrOwC4IJpYSaFXXbR9/6lvTQODL32tu4U/++UYn69oo/nd0SJpAxuO6OMS6eFeGh1N7v60qzvSDKvamjASkyMi330+XwEfB6+fEYZn3+2jQ0dKf62povrZhfYjQKnTwxwxcxCntkW4f4lPfz8imrc7v1PyYomR8HhBUczDMMeLnE+RvBLUZjdlwYozqUTpmnaemgqlbLt2gWPFbqumNh+bMsgD67pQzehusDF7WeV8+S2KN1xndpCD7+9ZhItEZW7XmqibdA6X99e2MXEIg/vmV3EVbNMnto6iAn0J02KfPDpU8s5bYIfSdLtWE+nXin4mnARGAkj6ZXjdSxyanaj6WnCvSk3HkrYr48nBuZQYX/8eX/cOplMHtbImZHyu98OHKrie2dnJ6lUitra2gN2LMjj7UH+3cgjjxHgFKVEnh/AT5f1AFYx80PHF+Pz+ex8PK/Xa0+7ClInJmhzF1Px+9EwlpxDkUHitAQU++LsXss9LjHNIgrEYxWEhDgl7FWCwSAul8vePmAXiMUUsyAkzv3Y1B7jzpfbeN/fd7HQURQHyxLniS2D9jnKxWj72hPX+MNbvfxgUVuWjYthGCOKZk48vS3C+o4UnTED2bHJlG7SEdVY05bk35si3PlqJ9f8s4n3/H0vH/lPM7c+2cCf1kZ4fU+E/piV7SIyipydlpfOLAKsLsfOfssCPJVKIUsZa1EJO38yoZl8+uk2NnYk+ejxxRRmspoe3xKxJ5qcHWtCRIwkdf62rp+PPdbC71Z0ZuWORnV4YusgmzpTWXnhIY/EBZMD/C2TF373eeVMLfXZ+y4aC5zvnfN6E00PwoZU3GCM185mPMVXn8+XZaO6Lxsp4R4gIMty1rT5kcD+8i73lcUEZDXivJ0Q+3i4BMxDVYA3TZOWlhba29sP21RSHnnkkcdYIIp7ws47l4tML/Vy70U1+N0Sa9sSfG9xDyfVWHxmS1fSjl8BKAhYBVRhOyhLkNZNppV4+ESGTzy4tp/yoMKnHBber+yMMJDM/rydVOTh+5dU8v9OKSHgtqbWP/9sG3/fGMWUXXajn2iiHKlhEayJChEhVOxXuHBqiK+eVc7fr5vI9y6u5Lo5hUwudmMC27rT/G39ALc81sCH/9PC9xa2srgxQUy1Gt/m1xVzy4IaHrxuEr+7ZjLXzy20MzKXNkb54eJO3vf33Xzt+SZe3DlITzTFqr39gFV097jkEe3Dx7v+p1IpNE2z+boz61vA6/WOmDPthNi2x+PhvCkFfO2sMvt3f1s/wF/WWIVyMW0hJlvEtgWfF9sRa7Pb7bYnYEZaR4Wzz2gOOWKyO1fwEdPyYhvO4rwTYn/EPjsntsT1csO8UipDLrrjOv/cMDDMCj/XWlOIqeLeSdyHjRXi3m2sENNSAqM9V/zNOq8hwcf2xzc+edKQRa2YnD9U2J+D2P4EysPB88RUWiqVOmyTModKcEyn0+zatYtIJHJIXi+PPPLIYzSIiXHNIeQossRtF88EhjLIU5pBZaEH1YBHNkfsQQaAkFdhcsnQmuBx0J417Ukwh9arsXwam1huJ2vaUsRV6xltUY27F1rT5AA/W9bDY5sH2N6dsuNvwj6FL59Zxl0X1lLkV2gcULnthXb+um6AtG5y5kQfHzvB4qd/WNXDa7utwr/I/hbfC04wVni9XrtYFgwG7aY9EdkieJFw4xE8Q/CujZ0p3mpNokhw/Zyg3fyoaRp9sXTWOdvSmaTI5+L2s8twybCkMc5dr3bgdslcNM1qFPjP5qG1wzRN1jX1sa4jRUtEtX+WSqWoLXRzS8Yx8q9retnSNcS1FUXho8eHbUv7ny7tsSeK9zc0IQr/4viEZbrga6KQ7XRYyrVKd0I4NgWDwRE1PzFQlhuvI14bIKqa3Pt6D39cbRXFz6oP8NPLqmmPGbyyaxBZgq+fXwNaitqAwbmTg/ZrBT0yTf1pfrakk6e2DmZtuz8J7sy+Oa3Nhf7nbGIcz/3AePiEuNacRe3RiqojxYCKpoUjNZwiYpxGu67S6fR+GyoPh+Pk4Xb/FLr4ocDAwAB79uw5oHioPN4+5CfG88hjBCiKQmlpKZ2dnYC1yO3qSTGQtBb0s+utBUHYjefmEJqmmTXh4BSPJEmyp5pzO/gExtIhJojLgXyoHogtiyBuPp/P7m4Tx+XstnS+tiAgqm6ycEsPT24bZHv3yCKM6IR8bscgN84vwZWZONF13RbSRO5Ne2+E1/amWNwwyK7eFMJNVAJuy+zTSCTE7XZnkb+uqMYvlnQAUB1y8Yf3TEBye1mxp48NHUkaBjSaB9L0JXTSmZsU1bAms7rjOhs7HZMjMhR6ZKoKPUwqcjOvJsSxZQrvnunnz29Zj/nTml5uXWBNirgzRMgE3jWrkMqgwr2vd6MZ8KVnmvjKOVV86rQKfrConX+sH+DCGSUUmWnbnkhM3T+yoYcnt/Rn5XCOhrKAwpXHFPOeGT77fRSkWLzHTisr0UQhnBOchXJhVy9s7Z0Yz6TGaIV0YYMptu3z+WxxXmA00jaStaS4STrSBVMxoePsFhYQXcz7ssZ8O7sL3W63LcIfThzqbKDu7m4GBgaorKwkHA7nc3zyyCOPIw6RNS7WNDF97RQ/ppe4uPfiWr72Qgsrm+O4ZJmKoEJnTGdmmYe+pLXWurDWMVEYrwhazjRNAyrvPa6M3hQ8sqGPny7t4XuXTuS2s9z88I1ODBPufLWDH15SbQusYOWHXz6jgHOml/CT11tY2pTg72t7eG3XAJ85tYR5VaNP7DonUEaCIkvMrfAxt8LHh48vpjuusbo1waqWJGvbk/QldF7dHePV3TFkqZ1ZZV5OmRhkfqWHaWV+ZlQEqAkYfHBeEc2DOkuaEry+Z5C9/SormmKsaLKcdcIZ68WpxR57X4TDjGma+Hw+VFW1ubdwGJIkyZ5kzZ38bR9UeXp7DJds8pHji0csIgoOn3sP4Ha77ZgbMVkMFi8+ox7uVODbCy0Hn4c3DaIa8PETS4jH43Ykk9hf4UakaRput3tEfjCSgCnuT0STgJgQEtNA4v5B8EGnmCX+7yzIiwl6cS8TjUbthlxhl5lrX6pgcNO8MD98s4dHN0c4pa6A+dV+uxFQTMHDUJFcxBIJjEcgFFP0I0FMjol7mZH4zr4me0SMkHjOaM5UuZhR5sXvhoRqOUS9smuQC6YW7PM544GY9HfyeYFEImEXTEbiWsLV6+2y6xT3CYebVx5KGIZBY2MjoVCIqqqqw24Vmkceebwz4MrwMi2HT100u5J5E4tY19SPR5FI6yYdEWv9fn7HIO+dU0ido1Y1rzrA7t4UPpdEUjMpDSj0xK21bWu39TyXDJpjM0U+mf7k6BrJ7AofU0q8bOtOsrM7hQnEMoVyzYAHVvfbjy0PKtSF3UwMu5laFuDW00t4aUeUN5sS/GtDP0saY9x6einXzC6kN6Hx+JZBfrK0h7BP4bRJQ81cB1KIEm43oqlTaElCS8x9TVE4Fc99cI11HFceU0xNgbV2Ck45r8rH6rYkbhl72ORXK3p44Opa/vfyOr75QjPrO1Lc9mwz/++UEp7ZNshbrUka+tO4JIlfLO9hc1eKsFehL6kzp8LLRVNDnFEXwO+WOX9ykDWtSRY2xPjB4h5+dkU1IY81uV0gy9x+TiWff7qFFS0JHl3fzZUzC+yJ6NHWcDFI5dR4RMOc4LxObcmpK4+kn4gJ8FgsRiAQwDRN0um0rdeK1xNT+eJ7wbU3tMW4b2EzXXEdtwyfWVDFxVMDRHUXP1/aAsAHjy9jWrHL5rtVwaH37AtnVvHTN9sZTFlvwLQSD+dOLeQPKy0+fdfCTr6s6ZwzKWQ35QmO4+Qhh0IbEpqd0PTE+XBuR/DcXIhmBcErBS/fnwvR4YAYxMm9twHs49uXVinurd6ORkhxzo/E+dnX/cV4kUgk2LFjB6WlpZSXlx/Rwa08LOQL43nkMQpKS0vp6emxJ6S/t3jIgvoLp1sdfULQEQueKHgJCxkn8UilUsMWl9GsHceC/dlW7w8+n8+eDB4rFEWxj88pgo20MAYCAVp6Bnl+xyDPbh+kL4dsKxIE3DKDaYMFdQE+dWKYTR0JGvpVnto6wEdOrrIX3u7+KK/uibKkMcGu3pRNxHPhUSTa+uKUh0aeuhWFXWFp/tWXmjFMa1/uu6jSFvtOqvVzUq0lBIvcw8FYjG1dadZ1JNnRk6YlotKX0G1rfd2AvqRBXzLJls4kz223uhidU+gL98SZW5Pk+CofXu/QPrpcLk6dGOT+S1185cUO0rrJ/y5q56bjS5hb4WVjZ4pfLOngG2dbUydtkRSPburixZ2D7KseLktWfumN80q4cIbVlSucAgRh+f7ibo6v8nLRtIIsIisyw0UUgJhICgQCdlbQaAVN57TR/jAaMXV2qjrt70W2pxA3Ra6j+Nty/l0I4VVMEO2LxB1OiGMJBoP2NFQymbS/F7mQI/1t7ut3B4ojRTKF40GuM8GhgKqqNDc3Mzg4yIQJE/LF8TzyyOOIQpIkKioqaGxszCqmiRgesYbNrfRz7yUT+frzTSxtjFJb6AZ0DNPxGaar+P0FJDMEoCqk0B7VaBxQOTmd5kPHFdARsXKd73ypme9fXMWFU4O8vCvGrl6VexZ28vVzyvG6shutyoNuvnFOBUsa4/xmZS9tgxrfeLmTC6cE+diJxRR6h9+4O+2zXS6XnaM4GsoCLi6eVsDF0wowJYUNbTHWdqRZ3hRjb3+azV0pNnelmF3upaG/g9kVfo4p8zC7wsuxtYVcX+ji+jkFNA2oLGmMs6Qxzq6+tM0xn9g6yM7eNGfUBTi9TqM67LfFJlGsFqKeJEnEYpaNqOCFzkmISH+Mx7cM4HdL3HBsGJ9reGOaMzNSrGP74uZClDxjsptvyxJ3vmpZdj62ZRBNN/nUKaX2a4qJcGGJLb63m04z51xMM4vpIXFcwvbeuW+iadfJI0QBP5e3jZR5Lqa5hMgpuKR4z0XjgfP+IhQYKiT+cWUXP7y0yhapxf2EyGUcCeMRovYnxKVSKfu+TjSDOqdOhC28s2ju5I7OmCgRcTQWXvnumYX8c6M1OfbAW32HtDAu3mfxWSIKA+IzRjRIjMbZ3w5+JBorDjfnFk0vb4cgG41G2blzJxMmTKCoqOiQv34eeeTxzoaI2XNOjIP1Gf2VS2bygT8sx+Gyjt8tk1ANHt0U4dOnW+usoijMrfTx2Cbswnixz2UXxgXE4PjEsJumAZX+pEFtoZu2QRXDhJBHJpoe0ho2dyYJeyTuv6SSPX0qt7/UTlw1qQwpdEV1DMDvkkhoJl0xna6YzlutSWBoqjfkkUlqBk0DKrc9385Z9QE+ckIRfQmdRQ1xvvt6Fz8MeZlUKNvHLYZkxgrRVCg4RiKRoDdp8td1LQwmDS4/poRJhdaal6ulLmtOsKUriVeReP/8EiCbE80osybxC7wKMdUgpZn0Jw0eWjfAJ08p47sXVvCtVzvZ2ZPih4u7OLE2wKqWOD9e2kNjn4pqmHhdEiUBFwMpnU2dKTZ1pvjtyl7Oqg9y0bQgt5xSzLbuFG1RjV+t7OfLC4rt+4O6QoVPnVrOL5Z28sBbvcyt8DKp2GNz15Ga4wDbCl5wOidf9Hg8aJpmx9gIbVfwCNFEKPQpwRVF06UzclRATIw7z61hmjyzM8EfVnShm1BT4OL2s8uZUxPGBO57Zi/RtMHMch8fOL4UjKEGywnhIc30nldbs7Z107wwJ9YGqA65+M5r7QD8YHEPOgrnT/LvM2LoYCHiSUWUqOCMTm1SVVVCoZB9LkTcj3AtAGw9E6yi8uHOFR8Jgj86XXSdjazCBXMk/c4wjLdFc/X7rabaw61XCtesQz3IY5qmPcwzefLkw2pBn8dw5AvjeeQxChRFoayszMqCwGNnmxxX6bUzw1VVHZb57BSXJEmyxZdDPal6sJ1FzpyX/U07iIldwCZduSTVWVjbG4VH3mzkjb2xrG5UsKa6L5tZSCShsrgxQUVQ4XOnlSLLMu+dE+aHb3bz+OYBCtwSy5rj7OhJE0nt+9xNL/HwiZNLmV3uGXUaF4ZEvlQqxa9X9NIZs47hf04poSw4lI3uhMiMLwgGmSPLzKn0Dft9S1xmxd4Bdvbr7O1N0B3XSagmJmTdwGgm/GRxR9bzNQO+u6iD6cVu5lf7+M2VVXz++Q4GUwZ/XdPL6XUBXDIsa4rx3E4/a1q7Wdq0b0Iwq1jms2dPYFqJB1VVbVt/XdcJBoN4PB4eWdfNn9b0kdZNXm+IMb8mQH0g263A7/fb4qkgfCJzSDRGHCxJcE7f5J5Xkb0jmhMAW9QWomtuRqIQksX16dzHw2HtMx6IawuwM0ITicR+ydehzNMRk/iHm2SKQtDbbeM5MDCALMvU1NTki+N55JHHEUVBQYF9Yx8KhVBV1Y6cEWttOp3mhNog3zinnO8s7LTtFnf1DAklmmxNUYjGvNpCN2vbUzRlHitLEl9YUEZvooNNnSnueq2Tu86rYOEei5O91ZbkW692cud5FQTcw22kF9QFmFfl4y9r+3l2+yAv746xoiXBJ04q5txJwRE/SwXnEgLa/iByI0+qK+S4qjSfOq2Svd2DrG5Nsqo1QVdMJa6arGqJs6olU7SUO5hW6uPYqgAzShQunR7i+mPD7I7A557cax0DsLEzxcbOFL9d1ccx5V7OmVLIGXUBio1U1nE691NEH4m1UJIkZhTLVIWsafwljfGsDM3c4xZNl85GL8HTc9dzIZCdMbWU+2SJr71suVM9tT2KZsCnTyu1mwAFRxf3EaIIL861sAF1FndF7Iz4v3P7QtDUdd0uIIrmOOf5UBTFbhoQcBaLRROE2+22GyqFOHjrE7sJeWQ+eUo5E/wKK/cO2K+xrSfNqg6dsyZZxf5EIoHf77fvMUbiIuNZu0VT8kjNCYJfiQkrZ1FfNAsLTiY4p2gYdb6m8zFjFf7eNzdsF8YjaZP2aJqq0KEVwQQndma0A/Yk0mgQn0GHahJGXHuHKpNxLBDc/2AazseK5uZmZFmmsLDwbd1OHnnk8c6CW1ipG8M51BnTylgwtZQlu3ooCbjpjau2W+DzOwa56aRKykNBUqkUM4ot7jGQNJCAnb0pzqwPsNgR5SE+7UOeobWhJaJS7JNJaibRtEGpX8HrkmjNaKBLmxN89LEWvnxGGd+5oJI7Xu6gI6ozqchNQ79V+L3vwkoUGRoHVJoGVPvf7rieVWg3gdf3xnl9b5ygWyLoloippj1tfXy1H9OM2dbUY9EpAoGAvY6JJjbNMPne651s7rQ49KKGGN++oJI5VcFsB6FUmr+s7QfgPXOKqCjwEotlryXTSjzIkpXF/q3zq7j7VasQ+9iWCOdMKWRaqZfvX1LFna900Dqo0Z/JbN/VY3GHk2r9/M/JxdSVBOlN6Dy7pZeXdkVpG9R4cVeUF3dFmRh2c2KNj+d2RHl9zyAnTQhy2YxCWy+55thSljcOsrIlwfcXd/Pjy6rwZuKDhM6Vuwbquo6iKLZuLe49hGYqGh3FuROPFznXTr4n+KSTU4ghFBiywhdNmKZpMpDU+cHrbSxrsjjl2fUBPnNqKQV+q+D97zUdrG5N4FUkvnBaCV63C02zjiOlGaxqd0yxA3VFbvb2qxxX5eO0SWErpmh6AJ9b5hsvWoXz+xd3ktQruHZuyUEXaPelyYkmVqGPOm3kRdNBNBq1vxfnC8jiXc6i+tHksJPrrOTU2fd1Xg5lc+KRarQU70U6nX5bbc9VVaWhoYEpU6YcdVr1OwmSebjCno4CRCIRwuEwAwMD+ZuZPMaEVCrF7t27ufWZVrZ1W4Tqn++bQKHPbYt6zgUjdzF7OyciD2ThFM8RIpMoeO/rdcSUgeg0FAKcs5MslUrh8QV4bUcfj2/uz8rFceKEmgBfWlDMitY0P13ShSLB/15cxbRSN8ubEsRtDbMAAQAASURBVLy2J8qKliQj3A8AVk5S2qHbnFzr5/q5YWaVD2Upianv3MVTEOtYLMamjiRffckqUM+r8nPvhRX2Y/b1kTjaOXdaZvr9fvv9bupPsqYtydq2JMuarf2R2H+mk98tkdZMOyvc54LkGHQetwwPX1djEy7n/goh9fnNXfx2ZR8DqWwB7A/X1lPlx87BBLIyhoQo6JwyGs1+cTRRciSIa2qk856bCepyuezJagFh45n7/NyGj6ONaMLI19v+LLFgbM0s+4N4n4/EBP2ReC9KS0upqqrKF8cPId7pnOqdfvx5HBg6OjqIRCLDLOpER7pzonVFszVBk9tg+LnTy3j33DIueWArmgG3nFLMr1f0MbPMw48urbYfN5jS+fIL7TRHNCYVWbaWb+yNo0igmzCj1MPd51dQkJkEH2lt2dKV4ufLemgcsASQ46t9fPqUEqoyFpNivc+dGtlXM2juBHNunmEgECAWT9CWkFjdOMDWHo0N7XF64sOJ0MSwh2K/wvr2BHVhN986t5ylzQnebIyzpSv7WGaUephZ5uXkukImF0oU+7MbTEdam/65oZ+H1g1wbKWX+y6qyvqd4EpOvuOMktnfxIQkSbhcLja0DHLbi0NNkxdMDvD1C+vs5wp3Gee+iWkf0fTo/LmzcOt0JhCPEzwDhkQvJx8R3G6k8+F8nNgHp62iJnu5+i/bAfj7dRMo9Cr8z5OtNEeGBLTygMKv31VDSWEoy/FntHM2mhXlaNjXeRfHLSCs8HOFv5Emr3LPx3i4LsCXn29hS7d1bcwo9XD/ZdX7ecb4MBon93q9dhb9aDgUvGws23m7cCh48XggSRL19fWEQsObZfI4MOQ5Vf4cvNNx/W+XsnxPL794//FceVzNsN+vbuzjml8tQZaGBi/E99fMLeaTJ5XY/ON/nmyhOaIxo8zH9u4kV0wPsXBvnFg6m5v5FGtwQzOsyL3uuI7XBQGXTF/SIOCWOLbSy/Lm7LXl2Eovp9T67czwEr9Mb8KgLuzmJ5dX41GkLD4UTxs0RTKF8n6V9R1JdvelR9X8wCra14XdTCrxURuSmRh2Uxd2UxrIzkAWDW9iDXBykwfe6uOxLRECbomJYQ/bulME3DLfv7yO2ZVWM6Tb7eb5bf38eEk3BV6ZB99bT1FwZH30M0+30tCvcvdFNSzaOcCrezKuQy6JX15ZTVXITWN/mq+82JHVCHDaBD/fOKfc3m+x5pqmyabOFC/tirJ4b5xURvwTeqFLhl+/ZzLVfsM+tva+KJ95uo2+pM4VM0LcckqpvZ19rYWCI7jdbrtAnquVCbfFXL4pYll0Xc+KWnQ+F4YKooKDbelK8v3F3XTFhqzTz6/32OehIyFxy+N7Sesmnz29gvccW2prfStbEvxmRQ/t0SHuf/n0EM/tiGICv37PJCaHlaxooO29Gl96tsXWWj84r4j3zysedk8yXs4zHl4p4oWc58fr9dqNrE44ddXxcsrDgX05w+7v/I0nWnM07MsJ4e3EeO87DgV8Ph+TJ0/O26ofQoyHU+VbEvLIYx/o7e0lmkjbRfFJRW5CHiVr0tOZNebMV4GhfENh6XMoi0EHskAIG2ZFUewJpdwJAVFYFvvuXAxFF5wsyzbpbO+P8eLuBE9uaqY3MfK0wYRCF3deOIGagEnzoMGvl1u29HVFbr73Rhc9cX3EYnGRV6KuyENcNdjZq9pF8QV1AW46oZyJI+gRQpwVOdxO+5dYLAayi7tes6Zz/C6J7102Ea/bItgdPQPctbCL9xxTyBn1wWGvLchz7kKpqqotkIpz5PF4qC00qC30cOXMQq7++140AyaE3Xzn/Ar+vr6fF3dZZLrIJzOYMuxCeCLHKn6konjYDQOO3Qi4Jf7zgSlZBMQ5NbJkVw8/W9ZjT8kLyMDPr6qlvmhoskQch7DDBEv4zb2Gk8nkiCRuPNemYRgEg0ESiYTduSu6KkV3qhO5lt+CfEqSZBPO3OLnkcjNHgtGsi8Xdlf7wr4mosYCQc6PRFHcaTV1ONHT04OiKFRUVBz2beeRRx55gLU29vf3o2nasHVKdKSLojjAKRMCfPOCWu56qSWLI61rT3LZLMMumE8usvhH04CatQYWeBXuPr+S255vp6FfRclMIymyRECB7T1pbn+pg3suqKQk4BpxTTmm3MtPL6/mP5sj/HNDP2vaknz66Tbef1yYq48pRFVVm2+J6drc4pyYHBF8eKScP8GlxaRyKBhggpygdlYh7/P7icViDGguNrbHWdsaZXNnKjOJlKYpM5DcOKDypRfamV3h44y6ANfNKaQ9qrO8Jcn6tjj9SZ2ntg3y1DbL2rM8oDC9zMuMUg8zSr0cN8FLLi6YEuJv6wbY0JGiPaoxubzA3mfBCZ1w5gzua0oXsB8zq8LHTy6r5NbnrOL4K3viqC/s5a5LJ9kCYe71kkgksia/BS91Pk7wNhjiqds64zy4uoM7LpiATzHt/dV1HU3T7CljGN7c4HQDyOWDIrvzraZ+wHIxqCwK0dqfyCqKF3pluuI6/9owwCdO9Q07R4di2lecG6czlhDNcxsuYbhVuzgPomFjpPiaA7GJ/OgJpXwl0wCxvSdtT2UdKozGycdSMD5YAfBINp8eiW2bpkljYyOTJk3Kcq3KI4888jhQuBVrPdRHqRafUFfMhcdU8vKWDqZVBNnZGbMLy09v6efqGQFKApa8P7fCR3MkSonP4gRvNMb54HFhfruqL+s1k7ql0zVHND50Yjkvbe9nQ0eSlGZQEVTojOmsbElyYrWPt9qGuN2GjhQbOlJMKHTRNqjRmzBwZybFH1zTxydOKrGdZAACHpmZZV5mlg1xjMGUzq9X9PJ6ZpI96Lby00VMYDRt2PE6TgTcEvXFXuqLvEwq8VLph4lhFxVBF3JGw5Rlmbc6NB7bYjm1fOXsak6oDXDHiy2sb0/wlWf38u0LqjihrohYIsVD66zzcsNxJXik4QMXggfMKPXS0K+yvSvF++cV2YXxlGbyhWfbeP+8Ih7eEMkqigOsbU+S1Ez8bkunFDblmqZxyuQgJ08qJprSeHlbL680JNjcYfELzYBP/WcP75lTzBWziqhxqYR9Cl9YUMqdr3byzPYoJ1T7OXWitQ4JW+6R1kTndLPQz5z8IJlM2jqvE85YFqEPiqEZXdfRJRe7elNMLfHaXMnr8/Hwuh4eWNWNYcKEsIevnFnKnJqwzZ1U3eR7i9pJ6yYn1vi4YmYB8Xic9qjKA6sHWNpondvSgGJHAaxtt/Ltz5tSyIwynx09JDB/QiE/udzg1mfbMIGH1vWTNiU+dNzBNRqZpmlz7VwnVdFgmXuuc+H3+7POcS6vPBoLoqNpkmPhXM4p+fFCOFEdKV65v/u3twPJZJKGhgYmTZp0VF4L/9cxrnf8rrvusotO4quqqirr97NmzSIYDFJcXMyFF17I8uXL9/u6P/nJT5g5cyZ+v5+JEyfyhS98IevDZH/bzSOPtwvxeJz7l/Xb/7/30joCgQCBQACfz2cvhE6L7twFRBRlRf6bwIFaZQjLw7EKMoFAwN6usGJUVZVkMkk8Hh8mmIhiuK7rw7YhBDNVVVnf3M93XmrkQ4808udVXfQmdNsCSiDslfnGOWX85YbpxFMaP13ex6efbCKdqQDv6bOslQT1LPTKnFjrJ+C2Xifsc7G+I8XOXhVZgnMmBfjlldV8/exyZlaMLESIDlGRrye+FwvzHS+12vajd55Xjq6m7PPwjw0Rtnanue+NbqKjjGjniqACIns9nU5nZfsJ1GXycVoiKrUlQU6cEMrsL/zrxik88YF6/nHdBL5+biVXzSxgToXX6ojFulGwjw+44/zqrKJ4iU/m8Zum2deUoigEg5ZF1N6Izif+s5c7XukcXhSX4MdX1TGzMmQL9aIzD7IL3LkTNcL6e6SFe7xNG8IWXXQWCtsaXdeJx+P2FwyJr7nbEs0a4mfOfTjUMQaHCiOJ6mPFwVjtjDRhf7hwJC2COjs76e7uJplMEo1G6e/vp7u7+7BOGeWRjTyvzOOdhFgshsvlwu/34/F48Pv9Nqf0+/22E5Gz0HJipYsb5pdmvc5bzTHa+4dsricVWfaOcdUc1qBYGXLxrfPK8bkkdvWmCWSEx6tmFlLiV9jbr/LVFzvoSY7s3ALgViSuPzbML66s4bgqHynd5E9r+vnCc21s707anCeRSBCPx4etuYlEYkgIyynAiceKx0Sj0ayM6kAgQDKZRJIkasJezpzo5TOnlvLn66fxj+sm8J2Laij0WhxclqA/abCkMc4f3urj2wu7+MvaPsDkqpkh/BkuJWW+uuI6Sxrj/HlNP19/uYOr/ryd//dUKz9Z0s2z2wfZ2ZOiyKdwYq31fry0M0oikcgq7ovGVyfi8fiYJxxSqRRut5tppT5+eWWl/fPXGxPc8VyDbX85Wm6k2+22rUBFRqQzekac90g8xc8Xt/CZJxtZ3hTj98ta0TSNdDpNKpWymxtEVJLgs0Lsc7vdBAIB3G63zbWEMChsrD0eDzv7rOtvRqk1EbSh0yrSCh579iSr6fSxLRH2dMeyPpeFHWcuTxiv04vH47GvGVEQz70vEF+GYQwTgkVhWRyr+P3BTvLMrvARdBzaH1b3H9TrHUoIi9UDgdPG/3DjSDVbgvXZtXfvXmKxGIlEgsHBQfr6+uju7j5iHPudjjynzOO/GaJ5UdVH//z40sUzkCTY2RnD7x7SQ9K6yRPb4zavPGGiVQjsSRiUBVxEUgYhr8zUkuERHj0Z3vjLJe1E0wblAet1O2M6FUEFw7QieKblPFeWoDmi2YMdoqD9xNZBNvca+9UqC7wKXzmrnG9fVEuJXyGmmmiG5RAJMKvMwxcXlHLDsWEW1AWYGHajZLjuls4kz28f4DfLOrn7tU5ufryV6/7ZxK3PtnHvK838emk73321BYB3zwpx1pRCFFPjznPLmF8TIK6afPPldta3Rnlicx9dMZ2yoIurZlnnLZf/iIGiGWXWOdjcEcclgVcZ4ieDaZPfruyjL6lTW+DiOxdUcnKNxZOSmskvlvcA2A2wyWTS1r0kSUIxVC6ZXsD3L6rggWsncfmMEBKWI8CjG/v42CN7+MIzLTy/Y5BZZV6uOcba158u66Hb4ai0r2KkGMAYKXbEMAzb+UXwPTEw5RwEMwwjayDlte09fOKR3Xz12b2kUim6InHueKGZ36+0iuLnTyvk/ksrmVtblOVa+u/NUXZ0pyjwynzt/Ikgu/jXpgj/76k2ljbGUCS4fl4pf7l+GuIstw6qKBJ86IRiez8ExCDM1BIPv7qyGiFLP7y+j19khrIOFLIs243AkH1fI+59BKd05rkLaJpmx/aIc+zxeI5ajVLA2WA7XhyMvub3+4/Y9HwgEDhi2mAikaCxsZFUKkUsFiMSidDb20skEjki+/NOwrgV6jlz5vDyyy/b/3cWKGbMmMEvfvELpkyZQiKR4Mc//jEXX3wxO3fupLy8fMTX+9vf/sbtt9/OH//4RxYsWMD27dv5yEc+AsCPf/zjMW03jzzeDoj8lWWNUcCaLAm7NOI5Vo6iUOfMzA0EAhiGYds8iw4zr9drT2MLIWo8mW6iiDaeKQVBtsSH/P625yw05iKl6izaE+Pp7YNZFpXFPpn+pIGaaVt1y3D5zDBIMn9ZO8D3Xu9mJI4f9MhMLXZzZl2Ay+dUgGbZjrdENOKqyt4BFRm4aHohN84vY0KmuCymZwRZE9A0bViHnnN64sWdg6xts87dZdNDHFvpz3rukuYhcSXkG/njUXQKjiR6CFHRWaQVHYE3zCvluwvbMUzY3BrB7cp8hplDQnGBV+HCGQVcNLOUdDptT/gIIva/b3Tx2q4I97zaZm+zrsjD766eaNsbBYNWvlRLf4LvvtZmZyoBhDwSKc3qxJWAu8+vZGpYsqeznQKTsM8XOeOxWAyPx2MT4bFMNo8Fzqme/XUV5opfoogvcipFE4iu68PI1NFoTwTYxHi8+yZE3/GKb0dyqkdRlH1axB8OtLe3Z/1fURRKSkqO0N7kAXlemcc7B6J4vD+IvGohXn1wXjGPrO8ZmqJRTT7xuCX4uWQoDQepKfTQPJCmK6VQmqNhTCv18rWzy7n7tU7iGUeaFS0Jvn9xJXe80kXroMqXnmnmOxdU2jxrJNQWurn3ggpe3h3jgbf62N2n8qXn27lqZgEfnFeE3z3+DvuRMsllWbZFCWHbCBb3E25FpmlSURRCIkokZf3+ofdNpjtpsrqxny1daTZ1JommDda1JVg3RJtse8rLZoQp9Ck09qfZ1pWkM6bRmMnEfHm31XjgliXKgtZxPbt9kHMnB5he5c8q8Itmhty1VdwH7I8riXuE+iIfv76yiluettapJU0JvvVyG/deOhHA5mNgiYqxWMxuvhW/F/bqzn1bvLuPXy7roSNqPe78qYXcdEI5smzlSjrXZVFMFtNMokguplwEV3EelyjIx+NxNnVY521WmWXnubLREnMs0VtjQtjDKRODrGiK8btVfXzvsol2w674Olg4m4H3d+5zj93r9WbdS4j7DFFAFzjQKZhLZxTy6GbrnLywM8qnTi7dzzPGh3Q6jc/ns3Ppx4MDnZA5khE1BzORdCig6zp79uzJ+llxcXE+tucIIs8p8/hvhStTydP3USw7prqQd82r4Ym1rRxTXcDqxn77d09v6efqmUGK/QrTi6zX2tWb4ppjCnlkc4RXdie45eQSbnsh+15YOBWmdNjTl61HOIcqdvamsyIBDdPSAKNpw+anAve92syvrqq1o3r2hRMqXfzyymr+uDbCSzsipHVLp9ranaYqlOSLZ5QiS0NNA72qwo6OQZoGVJoiGo39aZojKindZGdvmp29aWCoefTZ7THWd+xmYqGLKWV+LpzsJ57W2N6d5qvPNeHKrH0fPrGMkN9y1XPGCpqmaa+tMzIT79u7U1QV+bn97DLufq0r63h8Lok7zq9hRkWAk+sK+cIzTWzpTLKoIc708jjXHDPc8jKX+0wu9fP5M6o4qWaAby+0Xl/Csibf0pXk96v6OH1igJoCF62DGvcv6eGeCyqQMzrdaJbqpmnaDk9g6ULOKCQnr3S5XPbgiuBEYnJacMRkMsnSJuu+Zma5n90Rk++80k5XTMOtSHx2QSVXzCqy+Yjg8Zs64vxzfS8Anzm1hE2tA/xuVR8tGYeh+TUBPn1qGdVBCbTs47h0egHlviEHRTGoI4rPsiwzqVThD++u5hNPtKGb8PyOGEnV5LYzR/6c3xecvHo8nBKGIh+9Xi/xeNzmy8Aw7e9o5Q3xePyA9EPnNTIeHMmGR9j/e/x2IxaLsWPHjqyf1dfXH6G9eedg3IVxl8s1agfk+9///qz/33///TzwwAOsX7+eCy64YMTnLF26lDPOOMN+7qRJk7jxxhtZsWLFmLebRx5vB+LxOL9c3mOTvy+fObp4IYqEolCXaxMpCtq5WXowJESM1DEmiIoorosFf7xwZhPub2ETi7Jzf/oSOs/vGOT5nTE749Elw/RSH7t7k/Qlhx4b8sgkNYMntgyMuo3Lpoe4aV6YqpJCO19nRUMv/948yJbO7PPzhQWlnDclRCDgzdrvVCo1TNAbCWLyqCeu8cvlFgGrCCp8bkGFXQwWwqyw6fG7hoiJ2+22M8RFUTgQCNiFaydSqZQ9XSJIlJjSv2B6Ed9daN2I/HltP5dNHzmXTljyiEYKYf1oGAYzimVeczx2drmH719SjaZp9jXWM5jgB290srxp6IbA55J4/7xSHt7QazcvfPWsMk6sDdiTNZB9Ey+K8iNlVe4PY7lGRefpwRRKxfUgXmOs1/jRBCH6j2WfhegNQ4LveArqiqIcEft0AV3XD3sO5P5QWlp6ROyS8hhCnlfm8U5BLBbb/4MySKVSWQ5Bx1b6WO2wscwY3+B1WS4/EwoUmgdgR8cgx9dUDvusP7HGz2dOLeFnyywetLM3jaZ4+N7FFdzxcgfNEY2vvtjOdy6sZErx8IkiAUmSuGhqiJNr/fx+VS+LGuI8sXWQpU1xbjmllJNr/cMePxonELbrQoCEofVbHLuwsvb5hvIeQ6GQPZmxK9NEP6HQTaHboCocYEpBRoADulIKG9sTrGmOsLkrRUcmq1Az4KmtFk+tDCrMqfDxrtIiXJJOX0JnR0+aHb1pBlMGbYMWNxxMG9zyVBshTwfTSjzMKLMs2OdNdFPkHVpHnLnpYnLEyamFiCfOi5g6TyQSTCzy8rt3VfPJJ61K/rKmGF95tpH/vcwqjju5Z657lLAQF+hL6PxuVS9vZGxKK4IuPreggvmVbvx+tz39DsOFr9ymU1mW0TQNl8tFIqUCut2gmkxargGGabK92+IkM8usguW6duuarQy5aIpoxFI6Hz8+zJqWGG+1JnhtRx8L6vY9jTLWNVrkYx4oz8m15IQhfpnLXQ50IvjG48J2YTytw8qWOCfXHlorbmGXCvu2SFcUxW54PVAciKX8ocTR2PBaWnpomx3yGB/ynDKP/1a4lP1PjAN84cIZPLO+jdWN/dQUKLRmOEpKN3l08wA3n1hCedBFZchFR1SjrsiNLMHatjifW1DO6XVB26Z62D5IYMCo2d+5P3ZqgNk/N7npkWamlLipLnAzqcjDMeUWb/KM0DRS4FX4/KnFnF7r5Zcr+my9cWFDjEKfzCdPsprY3YrEpJCXSl92LrNumLRHNdrj8Lc13WzvSSNLoEigGiZ7+tLs6Uvbtu0CKR1SupWlLukqW9oi1BX70DJOn4L7gLW2TisL4FUkYqrBG7sGeHjTcL0zqZnc/nwz915YyezaIr59XhkfeKSFtG7yh5Vd9ERTfPSEIrvYP5I2IrK+T5kQ4D3HFPLYlghBj8yVMwtZ0hincSDNwoah93B9e5J/bopx8ykVNu8caX02TdPmn05HzZSqoZkSqm6SUnVUw0TV02imREozUHUz8zOTtB5DdnuIxpOkDYkVLdY5XdkU46E11lR8wC0xt8LHW81RluwZQDVM6/UNSKo6jf1WvrwiwW9X9tKbsN7PYp/MpxdUcWr1kD251+tFlkA3reaAG44N28fjLKLmamkVIQ9/umYCH3usGc2AhQ1xElon3zx3bLF6It5RcNwDgXie2C/BWQ5F/vbhRDweHxPf83g8B+0O6YxgOBI42pravF4vodDIdYM8Dh3GfdXu2LGDmpoavF4vp556Kt/97neZMmXKsMel02l+97vfEQ6HmTdv3qivd+aZZ/LQQw+xYsUKTjnlFHbv3s2zzz7Lhz/84QParhOpVCprkclbEOQxHsRiMV7caU2LhzwysyuGxD7xgSmsUJyFOZFrLSxXhKAjbNeFACgWRtGJl1sY9/l8tiWMMyPwYDHaa4ipCLGAq6rKnn6dxzb38XpDzM6yLPErnFDtY2VLnC1dw4uazkwdryJRF3YzpyrAC9sHSGgm188Nc/OplZa4p2ksbU7wj3XW5BGAR5G4dHqI0oDCpCIPJ1RbIt/+RKiRxFe3220v4Le/1IFuWrZPP7i0xs71cbvdRKPW+yxuAmaU+2xBdqQJFmE7Lia6RGZ7MplEVVUMwxi2oGuaRolfpjdhsLkzxVUzC+zfOYmGM0tSfH4ZhsF/tgzyx7f67efIwFfOGup6HBiM8atVA7y6K2Ifh1uGq48p5Lo5BXzqqXb7vbnt7Goumhm2LfUFcgUm0RCgquq4ipn7eq+EYPx2Tg6P1K15NIpnAqJxJZfQy7JsW1smk8mDFh9Ft+qRxNFENiVJyk+LHwX4b+GVeU6Zx8HANM19FsZFk56YzBCRF6LYeWx1gNVtyaxpHbByDT0+PxOLPCxrTtAUGXnqVpIkrj6ukt4UPLTGKo7/cUUnd55bzv9eXMWdr3Syqy/N117q4K7zKjimfN+2ykU+hS+fWc55kxP8emUfHVGVu1/r5Oz6AJ84qYRiv2JnbYu1K1dYEu5KgjP4/f6swqxwOXJGuQQCAaLRqN0otrrJmpyfU+HNsmg0TROf18vkoIsKr8759WUA9MQ1VrcmeGB1v82JOmI6HXtivJbJigx5ZI4p9/K+40oo8ZqoOjyxJcKefivWJ5o2WNueZG274BpdlAddzCr3M6Pcy6xynfqQRMBj8X9RrDYMY9jniIBohtR1nfpSN3+/fjIf+NceTOCtlji3PtnA9y7OLrqMVNDUNA2f388zm3v53cpuYmkDWYJrjy3h+tlBfK6h6KeRnisgeIkQ7wKBAN0DUb7xcgd7+1X+feNkQj6redLr9eL1emnqTxNNG3gViUnFHpoGVHoTOh5FoipkSQ6apFBX7OOa2YX8a2OE37/Vywk1Pnu/xgsR6yPiod4u5HKXA51U9rlkjin3sKXL4qS/Wt7Ln6459BnV4v4zV3AXzb7O+IMDhWgWPpIQefBHS8NlQUFBVnNKHocf/y2cEvK8Mo9siMnl0TLGBSaVBXnfyRP5+/JGwt6hwjjAc9ujXDs7TLFf4bgqPy/tHKQ9bjVHrmxJ8NTmPj5xQnjUwnh9sZcfXl5LOOBlcHCQpc1JfrWih0jK2qdcDrovaCZs71HZ3qOyiOz1WcIasvG5ZEJemRKfTE2hm8nFbm5bUMJLu6K8usd6zpNbBzFM+PRp5cMiP8QAjCJL1Ba6aYyqbO+xJtu/dV4Fp08uprF7kMYBlbaYyZ6eBI0DKk0Dqh2tCJY9+w/ftIq6sgQ1hR4mFCjUFXmYXOqnOgBTyoO4ZYlpZT42dST47utdmFhF4KRqIhTQgFtiIGXw9Zc7uOcCmF7u59rZhfxjg1VEf2xLhP6kzmdOLcEEUqZGLKGhGmQK0JDWUyhuLylVZ/6EApY2xWmParzREOWqYwrpiJls7kiwqzdpa7R/X9vDM1v6qC10UehV0E3QkUipBpphkjZA1QzSupHZhlXoVnVzzO/pvrCte0h/i6smK1r2zy90E7soDpYd/8rGCGFfMfOq/RbnjidsbTPokagMD9lsOxtLR+KAJX6Fh947gQ89ajUmLG9OcMfL7dz/rtE/m71er+1G+XYVaDVNGzZNfaQnlfcHwfeF06iAqFmk02n760Dh8/mOaLMlHH0Nl2VlZUetm8D/JYyrMH7qqafyl7/8hRkzZtDR0cE999zDggUL2LRpk90d+/TTT3PDDTcQj8eprq7mpZdeoqysbNTXvOGGG+jq6uLMM8/ENE00TeOWW27h9ttvH9d2R8J9993H3XffPZ5DzCMPwPpA/P0bDbb99y0nFdu/k2XZLnoL0cgJkdni9Xpt+0Fh7+JcXJ2TxeJ5TjgXSmHHOBY4J5xFJ6DIKHRa5zjhtMjRDJM3G+M8sz2aZcM9u8LPpdMCPLN90LaYHLZtGSYUeTmx2scl04JMrQwzMBjjqy91ktBM5lR4ufm0ahKJBIv2RHl44wBNEeu4fQqcPyXETSeWU+CyCJJTVBUTK8KOXsCZe5JLiIQ4+odVvbQNWtv59OmVlPqt7k8xkQXwlsNG/X2zC/a7KAurnlQqlfXevbG7n0e3RDmm1M2cCi+zy70U+KwJ8LPqgzyxdZCUbto2WSYW0RCFdtEMEQqFbCeCn77RyjM7hs552CsxkDL545oId5xXxa+WtPP0tkF7gkyW4NKZYW6eb2UP/c9TrfRl8qNuOa2cy2cV2cfgdruzLJSEMCsmZ4SNpsh9zG3gcIrezp/lvg9+v/+gRbixwjCMrGaDo6EgPBaIbkzRoHIoz9eRzIB04lA09xwqFBcXH9HM8zz+u3hlnlPmcTDo7e0dVfRwiiPClcb5eZ1MJqkvzNhD5zxXM+B3S1upL7KaLlsG9RFvoEWh8/rZITa3x1ndlmRFc5yNHQnmVvr57kWV3P1aJ5u7UnzzlQ7uOKec+dVWQ6hYl0R2nqZp9hq7YHKY+TVBHlzdwxNbI7y+N85bbUluOa2ScyaaWfuSu1+i8B0MBrMKjWLyV0wNON1OBJdVVRVN09jUaRUV5lT47L93McmcSCTseKN4ZvpnYlmAykIfJ9cVcuvTTXTHdeqKPJxRX8C2rgSbOxNE0wYrWxKszIh6LhkmFloTuBJwxzll9CUMdvSk2d6TonFApSum0RUb5I2GQftxlSEXs8o8zCr3MaPUw+RiD25ldHFDuA4lEgkK3fDge2r58GMtmMDGzhS3Pd/GDy+ttt+Tkdb0PT0JfrG82T4vM8p83HpGBZOLXHYzr7gfyZ3+kGWZQCBg8w/n7xOJBAU+N30JnbRusqk9xvwa055+B1jfah379DIvQb+Pjbut5x5XHaA46AWiROKWk9IHTijntYY4nVGNx7fF+djJQxM8Ivt8tOsGhu51RhNDDzUETxfc/2CEsw/NK+JrL3cCVs79QEIn7D/0TYOiESMQCCDLst28e6h42GjX4OHG0dRwmZ8WP7L4b+KUkOeVeWRDTIxr+ymMA3z2vGn8e1UTW7rTnFHn581Ga71N6SaPbY7wmbNqmV0e5aWdsLYlyg3zS1nZkuCV3VE+NL+IsFdmIDV82ntXb4pvvNDC3edXEA76uWBGgAVTS7jnlRZWNMUwgaJMhKIsZU+Wz63wUeyT2NyVoicx8iS5gIlVBFXTBoNpg7ZB2NQ1+rr69LZBXt4VZXqph4mFbqaVephb4WWGY5KyIyHxo9ctt50PHF/K2dPLiMVi1Bb5mFIZzui2YUxZIZnW+PEb7by+18oKFxqaR7HcXJoH0jQPwLLmBDA0Fe5zWbGE4hjKgi7mVPho7Euyp9/isHHVxKNIRFIGtz7XRkXQNWwC/zVHM+Z40DKo8ZsVvaP+fiBlMLCP8zgWKJI1qORWJFyyZH/vkSU8LhmvS0aRTLxuha2dCXozGqMswfxqP9OK3bgVCa9Lxu9141FkJFNHkUz2RnQeXt83bJtzKzy0RHT6kjov7Izyws4oJQEXZ9UHcCuSfe/jliV7Gl64cgo9XnzlapWBAPzzfXV84N+NJDSTte0pPv34Hn5wcWXW44Q2f7ga7Zzc9kAsx48EUqkULpfL1t+TyeQh3e+joTlA07SjJoLT5XIRDof3/8A8DhqSeaBeYFgTtVOnTuUrX/kKX/ziF+2ftbW10d3dze9//3teffVVli9fTkXFyJYVCxcu5IYbbuCee+7h1FNPZefOnXz+85/nE5/4BN/85jfHvN2RMFIX5sSJExkYGKCwsPBADzuPdwDa29s55+erSekWsfnPjXX275wLlzMDcjQIgU7TtBHFCL/fb2c27wtjtYcWWYUCC3dHiWsGmmERbc0w0Q3LVkiSrW5CzTCJJ1Xaoxo7e9N2BqUsQW2Bm/oiN8VBD5vbY5kMn6Ht+VwSBV6FYr8LGev1DdPqAFR1g76ETkIzkQC/WyatG3Zn40j47btqmFZZaGdHC8sfMREy2nlyLmBer9fOA9raleS2FzoAy3r8Z++ebFt3imloj8fDyzv6+Mmb3agGPPXBseV45J5rgD+tjfDoxmzCN6nYw+xyD9NLPPw0Y2N6Zl2QxZlu3acd2xO2PeK9/u7CTpY0DwmXnzyljLnlbm59tg3DtJoRRK6TBJw2McDnTy+lJGQ5AHz80QYa+63zcuOxhXxgntXkkXs9CcFvX5MXo5E25/uTS0aF2D1SVMDbCWc25tEg3I0HbwcZO1oIHhw9+zJ16lT8fv/+H5jHiIhEIoTD4UPKqY5mXpnnlHkcKAzDoLGx0XancSI3JkdMPuTenq1sjnN3Jmcw6JaIqdm/v+XkYn69so8in8yjN83YZ1NVWje44eFm0rqJ3yXx8yuqqSpwk9QM7l3UxZq2JG4Zbj+7nFMnBEbknyPxgZ09KX65sp8dmamROeUevC6JWaVeTp0cpj5oEAqF7OflrgUej8cucolCfDKZtCcwReOgsCY3ZRfveWgXmgEPXT+FypDLdu0RGdgJ1eBbr3Zy7bGlnDOlwH69VCpFR1Lm8080MJg2OLHGZ9sr7ulLs7kzxbZejfVtMfpHsAqtC7uZXe5lTqWPyUUuBlMGDYOwsS3Kxo7kiIKzS4YpxR5mlHmZUepheqmX2kKXbacJw7lZf1LjQ4+22KLqtBI3P7m8hmAwmOVAoOom/9ka5Z/r+lANE68icdP8Iq6aWUBhQYhEIjEiD3O5XFnuSjDEbb1eL6qq2s16wWCQb7/czGu7Inzo+GLeNyf7c+83q/p5eusA18wu5GMnFPOdhZ0sb05w88nl6JrKn9b0c97kIF86wypCLW1KcO+iTlwy/OqqGmoKhvLtRRNsMpkcVsA/UnE5omlA7NfB4H3/3EvGKZb5VV7uufDttWA+1OdspPufI4WjZV88Hg/Tp0/PT/YcIN5pnBLyvDKPbHzx4bX8Z3ULX7tsFp86Z+o+Hzs4OMhdj6/n0U39TC320BJJk8xIZG4J/nTtBBKqwSeeaMUlw9/fO4H/93Qb3XGdL59ZxuKGGEsd+pKYBBf/zqnwctd5FfjdGfc6SeZXb7by2BbL1aDYp9CXHK7JXTu7gI8cX8xf1/Xz8EbrsUrGBhusaeqpxR78HoXumMpASieaMlB1OFRKkYSlT8oSKLKMJFlap5iQPhohYdnEu5VMIVq2isAel4xbBq9boaU/RW+Gj86v8lIWdGUea605L+wcJKlln2+A6gIX86t8HF/to9Cn4HUpeN0KsqFnbS/g92JqKkrm9ZwuqLn3FIFgkD8vb+Eva62mgTK/zLfOr2RyscduwnSuy4FAgKc3dHL/0h77Zy7Zau6VgEc/MAXFtJpdFzXEeLMxnuVCKuBzwb+vr7M14lzsi+u4vF7e+9ed9utOLnLz8ytrgPFFRh5KuN1uXC4XqVTqsGulB4tDzb2OpijMo2VfysvLqays3P8D8xgR4+GVBzUqFQwGOfbYY7PC4YPBINOmTWPatGmcdtppTJ8+nQceeICvfe1rI77GN7/5TW666SZuvvlmAI499lhisRif/OQn+cY3vjHidOtI2x0JwtotjzzGA13XeXZDG6kMo7hhrtWl4/P5smzTx9rZJSZqFUWxbSPF88QUrVgInZniMJRDqKrqmPLs/H6/PaEuCsg/WtJzwPY4hglNEZWmiAqMvDgkNZOkptEV27fVjAnE1X0v+Eqm81RYtaRSKVvA3F82p1OIEB3dac0SRMGydf/2BZX2Au4UY9PpNGfXBzl3ckFWjuX+IOx7nI+/Zk4x08p8rG+Ns74tRsugRkNfmoa+7ELgsuah43FmRyeTSftz7ysvtLHZ0fX59fOquHB6MS9s60ORJYyM3RLA3AovXz6znOoiP263m1gsxhefb7eL4tfMKeaD88NZ50fsu7DFkWXZbuQQQqgzu0dcw8KiURBIXdftTFDRrSnEadHNebiRTCb/aybF324c6QzIXAjbsyMJRVHydpdHIY5mXpnnlHkcKCKRyLCmPuGkkkwms4rio61ZKYfKNdLQ8Z/X9APQnzSIpHREiTE3xy4QCBAArpsT5m/r+0loJt96tZMfXFpFoVfhznMr+P7irkzRsovbz63mvCnDr/tkMmkXZ2VZxuPxMKfGy6+uLuKfqzv4y9o+NnelMYHVbSn+vjHbIlbCar70KFbTZJHPRXWhh0lhhbkVXubVBO39FY0CYkJBFE2X7e5FM6yJnbBLI5Xp2hQFTFmWeXhjN5u7Umx+tZV/r/fyiZNLOH5iAEmSqPDqfOu8Cr7xcgdvtSb5yZIevnhGKdNLvUwv9RIIBIjFYlbT6IDJ4xt72JbJ0G4cUGkcUHk+E7kU9soEPTI9Cd2eJhKYXuqlI6oSSRls70mzvWdo/Qu4JaaXWoVyq2CuURX221y1yOfiiQ/P5N0PbsMwYWevyueeaeVnV9TY18vGjiS/WN5Dc8aB6ZQJAT63oJKaIp9t4Z97bYkmTOd1AUNuSGJqXFEU3G43Xq+XWCzGnEo/r+2KsLU7bfN00Vi5tcvihLPKvHh9fjZ0WP8/aWKIze0W51VN2d6XsyYXcNKuGKuaY/zhrX7uvqDK/jsR/FJ85nq9XtLp9BHldeKcHApcPK2Ax7daE/br2o8OG/DxQPD8owHCXeJI708wGMwXxY8yHM2cEvK8Mo9suDPX0lgmxnt7e3nvnEKe3TbArr40HziukL+tt3iWasJjmyN87MQSygIK3XGdnb0qF00N8Y8NAzy/Y5C5Fb6swrjPBQnN0ut8LolNnSnufq2T71xYjZRO4/F4+PiJxdQVufnl8h76kvqIU+ePbh5EkiQ+NC9MX0LnpV0xdBNmlHoYTBm0RTU2dKYIeWSumlnA+VOCPLSun0UNh25dN8Fhk77/CVRFArcCmj40OV5d4CLsVXDJJoNpg5aINuJgj1eGEfogbYipekWCE2t8rGixIpE+dXIxf13bT0w1mVjo4tvnV1Aesph7Ll/zeH388s1WNrQPvV8tgxq3n1VOyDvkmLKgLsDXMtGR184upD2qsbw5TtugRttglFd2xzh9op+LpoY4bkIYiSG3zUAgYA0OBfy2Ti0ijQKBgM27ZVmmN5bm7mcaWJlx23TJ8PMraygPB+3PQ8EdAQYSKp9/siFr/0+eEOTcyUF+8EYnk4o9+F3g9QY5weNmXrWf/znZYG1bgofWR9jVO8SRkhrc8lQrF0wLc+6UAmoLrcKyk5+N1sSopVL87doaPvJ4G30JnT39Kp98ooWHbpx+xHilx+PZr8Z9tOIg5muHwekMdjTgSPNJgWAweKR34R2DgyqMp1IptmzZwllnnTXqY0zT3OdNpOj8d0JRFEzTHPWPbSzbzSOPA8XAwAA/WWxNGCsSfPiUqmGZyG63e9yFHTG56izGJJNJW3gTH3zpdDrLrt2ZM72/108kEraIKOBzSaQNa2Jb3K5LkmSLkgKCQNYVuphd6UeRMtk/HjdpVeXFnTFiqsHUEg/nTwnikiQUGVyyRMDnwaXIGGoaj1vBJUtEUwY/ftOyUBe2RACFXpnLphdw0dQgBT4Fn9uNoWu4ZLL2XRRpR8oOHwlOMUKIZ998uc2eqvrGOeX4XPKI4rR4/QMp4DozGAGqCj2E3TrnTQrg9dbSHU2zpmmATZ1JNnWl2JkRRJ3k+sLfb6Uy5OLquSXMKnExqUjns8+00TQwtCh//9JadCSu++t2ehLZx3DR1AC3n19HIpGws12+/lI727uta+eCKUE+dnyhLXiK4rU4F0IEheEETZzLVCplW7GKx+VCvL6w8Zdl2bb1f7syevaFo8GO50BwsMKamABLp9P2WjrWv6PDgSNxLeQiL2Aencjzyjz+L6Kvz3KREdehaKx0CjH76053TrlE0kPfF3olIimThGbaUyKN/WmmF8m2e45woXFu491zS/nnhn500xLYvrOwi3suqMDrkrn9rHJ+srSH1/bEuO+1NhKqyQWThsR7Ef0iuEJu0+hVswp4YusA3fHROZWJta8JDRKaQW8ize6+NG+O8NihIrpEwC0T9imUB2R76mN2mScrDsZ5Ht83vwLNMHl0U4St3Sm+9Fwb50we5KbjCqkqcDOr3MvXzi7nOws7WdgQI+yTufnEYnvNlCSJ6gI31QVwWl091z20A82Am08spjOmsaolSeugatlXOtRRhSE59v3HlzKnRCaSMtjWk2Z7d4odPWl2ZRya1rUnWdc+dI9RGnAxvdTNjFIvsyr8zKn28Pdra/nAoy3oJuzuU7nlyRZ+cEkVD66L8Nz2zASXX+HTp1VwWq0HMOx7DtFgK94fwJ6c1zRt1CZfMdHv5FLTwtZ53tSRIJFMImeaKaNJld291uvMKPOwtTNBXDUo8MpMLnKzo8N6jWhStd18VFXlM6dXcPOje1jRHGdVW5rjK7JtsQ3DsO3fBbc8WiY5DgbvP67ILoybwD/X93PDcUVHdJ/2BTEBJq6Fo40/HS2F8TyOLuQ5ZR7/TVCElfp+ppo1TSORSFAa8vKe2WH+vr6fNxqTTC5y2XbeT26JcMP8MuZUeFnUEGdjZ5KLp4X418YBNnSkOG2C1QxX4JEYTJskHLfmbsXSCTd2prjzlTbuu6ze1oOuOMbDhEI3977eRX9Cx++SSOlmllX4I5siSMBnTy2hbVBjY2eK7T1pPnZ8EeUFXv6xvo/G/jT/2DDAvzcOoJkQ8siUB13WpHRmCtrtsPBWZFjVHGPgbeir103Qc6QJq5g8sl4hA66MtnnulCA1YT+DyTQDCZ3XGmJZGp84L7oJK1osjmQCD7zVR32RJzOApHHr8+18/axyZld4sz5X4qrBPa83syzjMnnD3DALG6K0R3V+tryXr501lD88p8LH9XPD/GPDAM/tGORnV1Tz/04pYWFDjFd2x9ndm2JRQ5xFDXEqlvVw4dQQ7zq2gorg0BCMkxvC0FovPiO39Wrct7Cd7rhuF/0vnBamJOSzde10Om0//z+bB/jL2v6sc/L500q4aFoBv11puWjOLrfcopy8rjAU4NgJHloXdwNQ6pdte/7miMaDq3t4cHUPU0s8nDMpwMWzygi7FTuiSSCXGyiKwsPvn8oH/rmbzphG66DGDX/bwV/fN+mIcIijRZs73JBl2R5+E+fgQOorbxeOhoZLSZKyImPzeHsxrsL4bbfdxlVXXUVdXR2dnZ3cc889RCIRPvzhDxOLxbj33nt517veRXV1NT09PfzqV7+iubmZ6667zn6ND33oQ9TW1nLfffcBcNVVV3H//fdz/PHH2/ZE3/zmN3nXu95l2+nta7t55HEooes6y3d2EslMnVwwJThi95JTZBorhPDkvPkSN1VCYBR5t6KQKAq1Y5lOF/uUKxb9+4a6UT/Yhbj08MZ+2wrnZ1fW4HJUzH0+H3e92ERMNagp9PCTd00i4JbtKafsfbP2X1ZcfPKxRrvYntahLKBw4/wyzq3z4Pe48Pl8jml6a3tOoSWZTA6zd9wXxPSVePwruwZ5q9XarwumBDmhxrJMFhacAsJSXSzEB0JQhF241+u1ty/ySfySyoK6AAvqrIVtY0eC21/qzHq+CbRHNX6zrDP3pQH40oJyfr60M6tQXhVyccm0EA+u7efV3XFuPCFNRUa3vmdhJ+szkzoL6oN86cyKrGtJVdUssdM0TWJpg6BnqLhtGIY9HT5Sfl86ncblctnXr7junEVwkfsjsuEPp0XRf0tWz9uBXMsrER1wJCztR0I6nT7iZDMvYB4dyPPKPP6vI5FIoGla1vqXy9MkSdpvoU9MjBd4ZQYdBViPInP+FB+v7o7Z1ol7+1JMC/tsjhmPx7MiWgDKQh5OnRBgSVMclwxbulL8aEkPXz2zDEWW+MKCUgr8bp7c3M+PF7czEC/imtmW64zb7d7n+vropohdFL9kWpDPnlZGb0piWcMA23vStEV1umMqMdUkpRnoJsPyF50YKqKbJDSdnoTObkdizet747y+d691LsmeRLeK6AqXTAvSOmiwqjXOoj1R3twb5aqZhVw/t5CTav3cenopP1rSwxNbByn2K7x3zpBblDjWAo/MaRMCLG6M8/KuKJ0xLTt6qNCNzyXRElHtnwPc/XIrsgRTiz3MrvByTLmX984JU+iV2Tugsr3bEo23d1t55T1xjZ64xrKmBNAPwIRCF2fUBXhjbxwTaIpovP+RZvu8XTErzE3HFlDgG2qMcxaQTdPM4sh+v9+29s/9uchpH6n4OaXUh88lEUsbNA2o1Bd50HWd3X0qhgnlQRdlAReLtlgi7rGVPjxuFwGXVVhKGdZ9kMdjNTNMLPJy9TGFPLIpwi+XdPCrq6opCPiybDhVVbX3UWRkC5v3w8lpDmWWdcAjM73Uw45Ms+yjmyNHbWHc7XYP4++5jTZHGkdLw2UeRxZ5TpnHfzOEJba+j3XNNE36+vrsKMerZxXw1NYIjf1p/l8mUsfEmhr/17pu5lT4MoXxFO8/rogTa/ysbEmwO+NkqOqmbZ/ud0kkNJPBlMEx5V4a+tJs6EjxjeebuO/yOlIpq/B5Yn0x91+icM/rXezuTSNLljOj09no35siSBLcc0E5H3+8jZ6Ezh/X9PPNc8v5xRVVLG2K868NA+zus9b5uGowt8LLtbMLKQsOlSicul0sXcLHH28mms4mjGL/rz6mgCvmlBNN6Qwm0sTSOtFEmo6ExO6eBL0Jg4GkxkDK2Cfn3B8MhgZ+XtgZA8Y/8asasLN3qAg4kDT46ksduGQoC7gpCcgUeWU2d6XoTxq4ZYmPnlDE2ZOCnFDr52svtrOkMc4LO6NcOr3Afp0bjg2zrj3J5q4UP1zcw/9eXMm7ZxVyzZxitnbGeWlXlEUNcTpjOn9fP8A/1g8wr8rHRVNDnDbRj9cl2xE2omip6zom8MjGAf66rh/DhNoChbgGfQmdMyaF0DQNv99v635NEZW7X+2kPZq9Nn/shCIummbt7+aMy9Bx1cGs5iOXy0UikeCh1QMkNJMZZV4q/BKLmywu/sUFZbzRGOetlji7eq0m0z+u7mdOhY9zp4Q4sy5IQWZ+x+Px2A6fwn1KURT++J5a/ufJVpojKp0xjff9YzePfGDaYbdTf6dqlSM5tBqGcVTpt0daq/T7/SM60uTx9mBchfHm5mZuvPFGuru7KS8v57TTTmPZsmXU19eTTCbZunUrDz74IN3d3ZSWlnLyySfzxhtvMGfOHPs1Ghsbs97gO+64A0mSuOOOO2hpaaG8vJyrrrqKe++9d0zbzSOPQwHDMOjr66Ozs5NvvTAkrn353NpRhZcD+eAeKVtXiDzid06hQVjBjEWM2Vf3vtvtRlGUUfOhlzRaPy8NuNjQY1BfIFNTZBWSn9vWz+LGOIoE3zi/GklLkdCGsljE37MQudLpNG6XwpwKL80R1SqIH1fEJTOKwBgqmALDMgOFVaaY0hGvJ15b2OKMtEgJYTkYDNITTfPD1633scSv8LXzJ6Bpmt3h7XwPcs9LIpGwz6UokucW03Mh9ieVSmXlPsbj8Syb9Hg8ztxKv91h6UR9kZvKoIsVLcMbAX60pMv+PuiRufn4Ii6aXoDX62VbT4plTQl+tKiV+y6q4CdLulmWscY6rtLL188qs4vcwi5diIyaptEYhX8sbmFdW5wHrq7FnyGMzgkzgdxMckmS8Hg8pFIpvF5vliuC87GGYdhWTG+XiCZiB0Sn6NE2zXK4MNo5dk7+Hw040mQzL2AeHcjzyjz+r0JVVTo7O+nr68PlctlrqXO6WkBwH8EHR0I6IziWBxQGU4Y9HT6YNvjC6aV0Rq2pHIDnt/Zxfn1VVia34D0ej8f+/yXTQ5nCuDUdvaQxzh9X9/GJk0qQJYnPLajEIxk8sinCH1f3E1dNPnBc2N7f3MkMgD29Sf65od/+/xmTi1jcnOLsSSGumVdhx6u4XC77PORayfemTFa3JtnckaAlkqYnrhFNmyPmDeZi+CS6wZ6+4edUM+CxLREe2xLBJVvTSsU+mb6kwZ/X9NMX1/if06ymwmAwSCyl8fgGSwQGaOi3XrO6wM1FU4NcOCVIScC6rXa53dz/ehsv7opRFVLQTeiK6ezoTbOjN80TmUnh6pCL2RVeZpd7ec8xhUwodJHSTRoGDLZ0xNnek2JHr0r7oEpzRLOt0gUM07pXee+cQi6dVUzAY9gcV9hiAvb0TyKRwOfz2deFgJMvOTm232/dByiKYkfupNNpZpR6WN+RYteAycwqawJ9XYs1tR72SmzpNVjVbB3j/Cofuq4TDlmPi6V0217T5/ORSCS44dgwC/fEaI+qPLY1xkdOsq4tsX1RAHAilUrZ+ZdvF5cQf7MiKuhQ2zzeNK+IOzNxTwnNZFt3kpllR1/Ey2h8+mjhk2Bx3CPpjCTugfI4sshzyjz+m6Fkrjt1lKptLBajvb09ay0PBOD644r5w6oeHtkc4aoZIZ7cbjW9PbY5wvcurgJgW1cKVTe5dHqIlS0JVrQkUCRI6jC9xMOO3jRJbajRb0tXinfNKuClnVHWtSe4/dm93HluOa7MYERFyMX/XlTJT5f3sbghSko3Cbol26kR4OGN1uT4Dy+p5JNPtqIacO+iLu65oJIz6oIsmBjgNyt7eWZ7FMOEp7YN8tyOQS6cGuK9cwqpCrmzrLmLPRIPvHcK7//nLnQHHTSxHIXOmlLE5CI3yaQOYU/meSFb+woEAqxtHuSLzzYjS/DAtZMo91muStFEgj0RmRe39fB6Q9xhxX54oRnQHlVpj2b/XDVMfreqj9+t6sv6+S+W9/LIpgiFPgW/S8Lvlgj7ZFwybO1OcccrHZw2MUBRwIdiapw6IcCFM0pZ1xJheVOMrd1p1rYnWdueJOSROW9KARdM9jO9bGg97RyI8+OlPazKaJTnTQ7y7rll3PrUXnwuiRNrg7jlTCOwYfLLpZ28tGuoWUA0TRxbaTkcAOiSmz2Z5oyZJVYhfEB3s70zzq7eKOvbonYcz8dOKGFVWwoyhfHzpwQ5f0qQtOTm5W29LG5MsKE9Yblzdib59fJu5lX5OHtSkLMmSZQUDGmgPp/P1sR+864aPvt0K3v6VQaSBlf/dQePfHAaxhgjTA8Efr/f1kWPtqjD8eJAz5HH4xnxuMVw1tGCIz1MlNcqDy8k8x3k3zCe8PU83jnQNI2GhgaSySTt0TQ3P94GwAnVPr59QSVgLWKmaQ4TM91utz3VPJY/pZGKVrIs2zksIu9ZiA0jFctHw1iKXiO9TjxtcMO/mzBMOH2in9WtSVK6yQfnF3NmnZ/PP9tGSjP5yPFF3Di/zBagFEWxv5zTx+JnyVSKpa0a504O4fW47cmU0fZlpKYB0Rjgdg89X1EUJEkaJpI5X+/TT7ext9/qYP3tu2qYWhnO2paTiASDwSzLaecUv6ZpuFyuYSKiE86M0Nz3SzxXHJfY7i1PtWZNfwP88KISbn+ld8T8opEwMexmdrmXurCbv6ztI6XD8TV+1rRaxzW91MOPLqm0CYawTheTH+s7kvx7Y4S1DvvOr59dxrSKApbu6eeM+gBlAZdd2BdFfnEzJib6VVXF5XLZdpf7E6a8Xq9tkw+W4CnO/8FAnHvhHHC0TLEcCA60gL2/Zp2jpTAuLDmPVGFcURRmzZr1jm2eOFR4p3Oqd/rx5zE6BgcHaWpqGvWmWhQaRyqECzed3M/qRzYN8Oc1/ZxRF+DNxuz17ZEbJuKR4f2PtNjF4y+dUcqF08K2IAjZDUlut5tUOs3Nj7fQGdO5fHqIZ3dYPOvmE4u5+phCm8v8e+MAD67tB+Bdswq4+cRi5EzWoMfjsdcd3TC57YV2ewoWLMvEny6z7BJ/8e56ZpVbhVJnQ6iAiGgRDYuCF/j9fl7Y0s33M5aKEnDLaWX8alk3Xhk+fmIRO3pV2qI6PTGVwbRJWjfQjH1Poh8sakIKp9f5Oa46yMn1hRiZKCSXy8Vtzzaxvj3JrQvKuGhqiO64zsaOBNt6VDa2J9jTZ+WvO1HolTmm3MvxEwqZGpaYVuIhXBCkvS/K9h6VJ7b0s649OeoxBdwyM8q8TCuxbNhnlnmZUBqy+a6zWG4Yhi0SOptxc+39AbsgLvDXtX38a2OES2aE+ewpRQQCAb7+XENmwh2qQgo9cQPVMPntu2qYVlnI+uZ+vvBcO+UBhT9dM8F2LxLX58p2nbtfbsatSPzqyuos3r4vXils/QXXFdNNh8KOUZwPca/3dvDK6/6xF5GOVFvg4rfvrj3k24D9RzWMhn0Jt84YqSONIz29XlJSQk1NzRHb/v8F5DlV/hy803Hfs1v47eu7+eTZU/j65cfYPzdNk/b2dnp6ekZ8Xkoz+OSTrfTEdW45pZQ/re61i9zvmRXk1YYkA0mdH1xSyYxSLx9/vIXuuG7nj189K8TjW4d0uvqwm70DKi4ZPn1KCb97q5+EanBCTYBvnF1KcWHI/rz1+f08sKyNf2ywnCdDHmnYRPcNx4aZXOTivjes/fcoEt+9sJJZ5V7ebIxx3+vd1IXdFHplu8FTlqwC7HVzwkwIW01HgjPu6Enx1RfaGalX8uo5xXxgbgi/e2hwR+hUiUSCr77YweauFFceU8T/nBi2B3Liqsmvl7Tw3PYoJhD2ylSGXGx38FlZgl9eWU3boMaiPTEW7Y3jlq1CdFw1SGkm+3HB/6+BR5GoCFnvya6eFCndRJbg9IlBjqsOsKo5ysqWBHMqfXzylAoUQ2VzV4o/re6zmwrcssTJEwIsaYwRcEv84ooaJleGUXWDJzZ08svlvfhdElNLPOzpS2c1VTjxp/fUsrQpxu9W9QPw9AezG478fj/NPVFeb4ixuCnBtq4hLcwlW3nmZ9X5OWtqMZJuvZ9OXvnl59vY0p3Ral0Sf39fPYVBn60TCc3qUEQ0Ct40Wm3hvwmKooz7nIi42NG445HmcgK597dHApMmTSIUCh2x7f9fwHg41UFljOeRx3870uk0DQ0NtoDy3UXd9u++dlaZ/b0QBUQ3uNPeTwg7wnJmtAVipGKdKFQ5p5ZFcc+5HZExMdpCIQrFzkVeCFrOfYrH44RCoawi9crWhC2yBd2ybYN0So2XHyzuJqWZzK/ycePx5agOoUkIrLmLohC7goEA50+xOuLcruET76KQLJ4vbOSF3bPIQRQ2PoJIiMeOthg/uKaPvf3Wfn7i5HKmVBSSTCazBJxEImEXfJ152k6I90N0GI4EYSfqnFoRk9bBYNB+L8T1Jd7Pq+cU8/Ml2bbpX3mpl5EkdI8icdXsIiYXKmzsTLK507LabMp8OSGK4gBtEZWPPtaC3yVT6FMI+2RKfTIpw2Rbj0Zj5hxJwLFVfkJu+P2qPrri1t+AzyVx+awiwCKEXq/Xvi6FECmOV0yPG4ax3wL3SIVZcf4OpmgrtuvMQf9vxYE0CYwll+dQ2oAeDA72vT5Y5PPF88gjj7cL/f39NDc37/Mxuq6PWowU3EPwI8E/xcR4oVe2p3sENncmOaEmwK2nl3BPhsfe/2YPfpfMaRMDdnHL5XJlFcYlSeLiaSEeWjfA3gGVjxxfxJ/X9PPAW33UFPk5pdqalL1ubpiQz8Uvl3Xz5NZBEqrBZ04tBQw7UzAej/PYlgg7etL2dMikYjd/WTdg76cbq8AqGgZcLlfWuiXsEyF7HZRlmfOnhdnQpfLctgFM4FfLrOM8rtrP5TOtCRTB65xZyIJfe71e2vqTrG6Ls7kzQdugQVcsTV/CyLL/HA9aozqPbo7y6OYo0DHiYx5Y1cNjm/opD7qYVOzmxEofH5oXwuMLsqaxn82dKTZ3JdnenSaSMljenGB5xvXHo0jMKPVQU+hhQ0fCzrs8tsrPe2cF+PainiwRNq4arG1LsLZtiAuW+BVmlHqYXRVicjjB9BIP5UUhezLDWfh1FkDbBlV2N/dxxoThk7DHlPuACBvaYkARmqaxvXvofexL6KiG5W5QU2Bxe1/GSj2hWY5QsizbRWyAkyplTqgNsLolzgNrItxz8ZA16L440WjCorgXORRC5r6cHA4WF0wt4Ont1nR9y6BGIq3j9xwdXG1/AqWIkDoaGi6PdIE+P9mTRx55HCyUjJW66hiHNk2T5uZmBgYGRnsaXpfMDXPD/HJFL/9Y38ed59fw9RdbAHh8a4yTai379G29BvMnWLbZ/9gwYE+mu5Rsnas7rnHqBB/Lm5M8vCnCHedW8J3XOljdGueeRQZ3nANFBVbcpAR8YF4Rk0t9/OiNTqJpk4BbyoqT+eeGAW48NsylMwp5fnuEtG5y56sd3H9lPeWFGTcl0+R7F1exsTPJo5ujrGyO8cruGK/ujnFmfYDr54aZVGzxvNlVbt4zt5h/rbemp4t8MqfU+Hhxd5zHN/WxdO8gnz+tlPk1AQzDQNM0VFVlVUuCzV0pPIrEB48vxeOxHCFf3d7Lb1f10hO3+MKFU4N87IRigm6Zr7/UzqYui9+cNjFEfbGPaRVujin3smhvHNUw+fkV1RT6XLYLjm6YfOrxJtrj2dzFJYNsQvowFM+lzPZUAxTJGqjxuBR00ySR1kmoJgnNsBsocpHWTZpzAt0NE95sjPFm45B2uqkjyeefahx5HySTJZnHaobJLU+14pLbSBsmaoa8JjTTboZwyxJ1RW7KA4rtfvmDiyspD7qoLhjiobluqrIsU1Hg4f0nhrjheIM93VGWtaR5ZecAe/tVljbGWNoY42fLejh1gp+z662ITXcmyvMHl1Zzx8vtrG1PkdBMrv/XXv5ybS2hHC52KIq2QlP+b54UF5Bledwce6RoHieOtPuPgCzLR7Qons8XP/zIF8bzeMfCNE1aWlpsUS6R1u2cm6kl7ixhQhSBRxNGRJYyWItmOp3OukkfbSEVi7rzdUX2iTO3Wdd1OyfYKZQKOIvuYmrUOWkhpkTE5LVzAmBZ09B+CWJSHlB4ZbeV2xL2KXxxQSl6jgCiqqotPInjEMVhp9A52vSuEC7FY4VAKia4nRb2zqlrsAQQIdSJBdkwDHb3pHhkk2XnOL3Uw1UzAllNDc73RJDksWCkzBMh6pmmiaqquN1uK4MnYzEq9kvk9Ihpap/Px4X1Oj9fkrONnG0qElw6vYBbz6lFzTQHnDs5iNvtpjeWYnNHkk2dKTZ1JdnRnR72/KhqElVN65UHRxeMTGB9e/b1JAG/XtnLn9b041Ug4FEI+1wU+xVKvBK1RV4mFsjMqQljZq6DgxHGNE1D07Ss/J/xQNioH0lr7kOJ8R6H+Pven+WPyJmVJOmoEDKPFFRVJRaLEQgE8gXyPPLI45BBVVVaWlrG9FjBC0cTWQTnURTFsv7TLQHQo0icMSnEjt5e+7Fv7I1zQk2A2RVDNswm8N3Xu7jz3ArOmOIFhmzhnJnmV84p4+/rB9jUmeLTp5TQFdN5Zvsg9y1s454LKji2ypqmuWxaEI9s8tOlPby0K0bakLn1tGLCBUHi8ThdKZm/resHLP61sTNFQ46F+a3PtOBxKbhkCUUycSsyLglcsoRLAY+i4FIk3IqEbBq4FBmfW8El94Oho8jYE04Ce/vTPLE1gluWCPpVdDVlvZ4sEfB5wNDwez1gRHErElOL3cyu8FmvL0u4FAlVN3l6W4QntgwykkYY8khWsV8zSesmqsGwae/RMJg2GUxr7B3QWNWa5BEGhz1GkSwBs8Ajo0iAZBJLW9va2JmyuTlYx19X6GJQl/ns6WX8ZkWPLWyG3BIfPaGY3QMGWzpiNPSr9CZ0ljUnbJERYELYw/QSNzPKvMwo9TCnxpoa1w2T1a0Jnt0RY1VLHEWGuddMoNzjybqPmVVmTfa3DmrEDYWu/gS9iaH3RGRvnjBhKDfS77bW2oRq2NxZ8GoxBfbJE4v5dGucZY1RljVGmV9x4DJFMpm0m5YPRIAUU2RvNz44v8gujAP8ZGkPXzun4pBvZzzHMh7nJRGTlHvfe7hxpEVU4aolXC/yyCOPPMYLl50xPvR51tfXt8+iuMBF00L8Z8sgbYMqWztjTAq7aRhQMYGBpPXZvKZlkKtnBrjimGL+tXGAgaTFCXviOhUhF52ZPOiYanL93DC7e1XaBjVe3jnIXedXcNernaxpS3LPoi7uuyyQ1cx44YwSKvwS31nURU9cx6NIdkMnwD82DHDdnEIqQwodUZ24avKVZxv53KklgMWVvF4vx1ZKzK8Jsa07yT/W9bGsKc4be62vqqBCV1znjLoAi/cOrU/9SYO4Dt+5oIKfL++lI6rx9Zc7uGJGAZ8+sxYMFZfbw4NrLX5+9ewiSnwyrX1xfrOy1+ZH1QUuPnNqCfOqrBgXzTDZOzC0ri1rjLJ4b4ALZ5ZSHg5SU+CidVBje0+as6YV2GumIkvcdEIpP1jcjTtTnJawbNIvnhbilpOL+eJz7ezJRPJcNi2ICaxosXLQDwVMrO2CFS9kxf+oSEB5yMWsci91RW6qC334FZ2Qz8vjm3vpTxp4FJldPclhRXNZsu5BTNMkNYZ6aFrP/d60G1FFrORxlV7OnxJiSomHySU+JNPgW69Zja/nTQ5y4iTr+phRKQNWtGR7zKQ2M/zpdEIS08g1BW4+eEKYa2YFaY3Ba7siLNwzaE36N8RZ1BAn6JE5Y2KAsycFOLbSxz0XVnHPwk6WNSdI6yYffKSZP75nAiX+oXqA0NGE9jseuFwuO+/8/wrGo70KbrQ//VFEnzrrIEcCR1oflCSJgYEBwuHwUWUv/38Z+cJ4Hu9YRKPRrGnh774+NC3+zXPKsx7rnLIZC3Rdt4ujzqK5E7mFWie8Xu8w+20YEkq9XkvkTKVSw6Y8chccMUHrtNBMJBIEAgH6B2OsdGRat2cI8bwqH09stQrMXzmnmtrSoekS8Tq6rhOLxbLyt0f64B5NrHBO9DiPUVhsCozWsSWK0cLKPZZI8I1XOu2coXszNvjO8+IU9sZLTHIXSKe9ipi6EVPsqVQKj8djH1+uKKcoCiE3REfYBQk4e0oBnzm5mKBXQWZIzBZ5UtUlXsoLA5w30+rUu/25Jt5qTeBRwCWBZoJucMB2TiYWeY+mDaJAT8LImU4XIl4nM0rc3HpWDXUFw19nvBDXqSzL4yrciqYEr9c7YhblfxtEc8z+ujDFuRoPcRSfIUeLVdGRQCKRYM+ePXi9XoqLiykqKrIdK/LII488DhSdnZ1jLtCM9XGCE2mmxUGCPg+nTvDy59VDjxGF04pwkCKfTH9G7DRMuGdRJ3cpEgumlGQ1UApeEpI1Tq71s7w5wcu743zypGL6UyZv7o3ynYVd/Pzd9ZRblJMLpoTwu2S+v7iLRXsGSWomXznDxCVLfO+1FlQDTqzx0RoZmV9Zud/Ode3gp3k7Yzq/z8lcPNSIpU0CQZmSgIJLtsTr5ohKXDWpLXRTEVAYTOvE0tYETixt2ILkWKCboOuQ0vf/pO641bjwTKaYqjioaVQ1+dPqPv55fR0QJm1AcxS2dCbY2pVka0ectqhG80Ca5oE0r+2x7oFk2ikJuIirBnHHjs+r8hFNG4TTaTsmKJVKEfLCpGIvDX0ptnWnbfE77JUYSJl208Cx5R47U7445LePNa2bkEjYvFrcV0wodHHt3GIe3tDHL5d28ssrq/EoBy5OCetUv9+fFfk0FgjnAY/HYztZvR0IeWSmFrvZlWkicTYwHEqMdf/FuRoPPxQZ7CNFYr1T0NPTQ09PD6FQiJKSEgoKCo64sJpHHnn8d0FMbmuZwrhhGHR2du7rKUPPlSXef1whP3qzh0c3R/jF5VV89PFWALb3WOvL5q4UumFSEfJwYo3f1gCbIhrHlHnojGpIWDrQczuifPmscm5/sZ3X9sSYX+3jrvMq+FamOH7HC03cc8lEQLMHWKaVevnxpVXc+3oX27rT9msJ/HtThIunhngpatmVR1IGv1hhNXkOpnQSySTBzJDE1CIX376olu2dMf61oZ839sZpj1lr+OuZonixV2JyiY/VbQkW741zQm2IB947hd8t7+SpLf08s32QVS07+NzppQyqMg39KiGPzA3zy3h0fTd/WdtPQjNRJHjvnELeNzeM1zWkZf7hrV47nui4Si/rO1J87/VOXC4Xp1RbkTWtgxrbu1OcMSV7jT2rPsC/N7pp6FcJuGWbW724M8qkIjffvaiSmx5tRjPguZ0xJhS66E0YyBJ86uQSIkmdv623GiIunmI5I23uSrKnT6VlIE1P0iCasuzbxxOHbgKdUY3OqMbSJoD9N10IGCajTpjvCy4ZQh6FoFtiSrGH988L8/ln2kib8NkzqphQoNja14rGGG+1xHDLEh85qdzmImGHTLO3P8X0qkK7yVJkVsfjcdtlVKC+yM0H54X54LwwW7uSvN4Q4429cXoTOi/uivLirihFPpkz64NcO6cQrwKL9ibQDPjof5r5/burqQgNNbwdqI7mHCKD8evQRyPGUrA9kIhL4ap2JB2JjjR/MwyDlpYW2traKCoqoqSkxHbTzePtQV4JzuMdCdM06egYsj3Udd3OWq4MKpQFs20DU6nUmD6cxTT3vuychSX1vuw5nM8dSWQQ++H3++0pZYHRivjOwrjYxuYe3SY4frdEQrXyY5Y3WWLZ1bOLmFduZXoLEVV0vIn9cootuRl8+yINzlx1GBKJc8UbwzAIBoMkk8lhopY4nlAoxO1P72YwQ15vP6uMgGf4Yi06+p3ZlWOFsAsVWdrO909kNIoCra7rJBIJO289d78DgQDHlbtZ0pr9Ps2v8vGlM8ooznQniilzcb6ErbwTL+1J8FZrArcMP76smvoiD91J+OHrHWzpSr7tWUfbe1W+9Ewj/76h7pC8nnhP9zU97nK5bPt2SZJQVXXY36awZ3fmmYtmDCHUCkJ9oBBZoqJDVXSQHorCvLiWciGysnIzP8cL0fX6ThUxwfocbW9vp6uri/r6+rxlUR555HHASCaT9PWNvUBrmuYwXjYSBI9KZkYvJENjYmEIn0uy+VtnVLOjXSaG3fQnU1QGFTpiOpoB336tk7slOLbSl1UUF7hkWsgqjO8a5JOnV/HFBSV0x9Js607zteea+MElVTYvWVAX4JvnVvDdRV0sb4ryrVdVjq/2sa07jd8t8dGTKvnMk3vt164KuWiPasgS/P49E5EUN/FkCgOZRCqNZpjILg8pVSOlamg6SIqLeCptFYxNibSmo+ompiSjGbCnJ8HK1mwOHXRLzKn0Y5hk8sUtq0bNMDFMyf6ZpoNqGKR1rNccy3uFVYAfqZDfElFpGaUR4HAgl+NFVZOr/7aXB6+pJex3MafSz5RCuGKaHyhmIKmzZ0BnS0ecdR1ptnUlUA3LOtUJr2IVsF/cGWVGmYf5E4ogw6ElSWJ2hY+GvhQb2+Mk09bxzywPsKJ5qOF4XpUl4miaRtA7JCyaigefT7Eb+2KxGMFgEFVVee/sEC/vjNA2qPLopgFuPK7ooM9RIpHY5/S44HCCU8qyPCxmSZKkLF4J2FxSfIn/jxcfmFfEtxdak1C6CS/ujvPuOaV2cX4k7j9e7OtzRrynqVTqgO09D5ZP/19BNBolGo0SCASor68/aiKM8sgjj6MfwkpdyzTJdXd3j0tTuPSYch7ZFGFvv8pzO6NcOSPE09ut+ERZgoRqsqcvzdxaP5dOD9mF8YbeFBdOKWZRQxx/xgZ94Z4YHzuxlPcfF+ahdQP8ekUvP7282p4cX9US5xvP7+WOcyoIB3y2nlcScHHfRVX8fFmP3XznLJC/uCvKvOoA69riSBJZjZyqlD3sk06nmVkZ4o7yALu74/xsWQ9buob0nr6USV9bAkWy1s6fL+lkerHCp04Mc/bkQn6wqIWOmM43Xu4kkMkcv2haIbc/u9fODp9d4efTpxRTX5St/bYPqjyzzTp3s8u9/PDKSdz3ajOv7Ylxz6utfPXsSmaWeVjYEGN7TxpZlrO0YlmS+OC8Iu5Z1GVb44v9/P2qPgJuibPrA7y6xzpvzRENRYJzJgXoihvEVZNpJR529qZ5cXeCxU1JgpkCe0IzMY7S5ba6wE2xT2Zz5n267YxSzp0cyrrf2dadIm1AgVem0m/aA1/xRIIH11qF+stnhCj3S3g83iwdGrBjhVKpFIZh4Ha7CQaDdhOj0OJCoZBdLAeYXRlgZpmXj51QzKbOFK/vjbGkMU5/0uDpbYM8vW2Q8qDC5GI3e/pUdBNufqKNX15RzcSibDcYUbgdbSBHaJVg8UdFUYZp4kInVhQlS6vM5ZQHy63EIJngrgerIe4PYuJb8NcDHcTJHWp7J8IwDHp7e+nt7aWyspLy8vL9PymPA0K+MJ7HOxL9/f1Zhc2fL++1CdvXzs7+wBHFkrEQUyGqjLaA5dpx7w/7e3yugLGv4n08Hh+2uLy+a6hLMJ0RWANumcG0wdQSL7ecXoWaSqDruk1ohOW1yJcWC70oDoMlsqiqOupC5tyPQCBgFxjFQu0sQLtcLrugHXeIcuJ7RVF4flOHPWVx9qQAp0wYvcAlcjbHW7wU2eEjQZCyXAFEOAfE43FkWbY7veLxOB8/uYwVT7ahmSADv7qqmgnhIbtKYbsutjmSpUzroMpvllli2ofmF1NfZL0fD6zqZGPnweWiSFg3UYoMbkXGp0gEPBJhv5uwG4oCHja3R9kzoJPQTH66tJvPn152UNt0QjQaSJJkkzefz2fbru8PY32cgFMUHekLLKIncu4F+R6JWLpcLnvfD5R8SpI0jMimM1Nbh4rM5gU7C7qu09DQQH19fT4nMo888jggOJst9wXRXDjeIlo6o4KJCdqQRyaZmb7WTdjUHmVGqZeJYTcbOlIcX+Nn4Z4oSc0qcN79WiffuaCCE+uH86MTa/y2Rfkr23o4Z1KQO8+t4LYX2mkb1LjrtU6+d1El/oyweGKNn29fUMHdr3WysTPFpszE+s0nFNPQk11QFNPEQY/M5LKQlfcYFDx5qAHM4/HbXFOIYM5CppM3vrBDGlYYj6kmO3tS/PKqWiqLgnb2tGlamdZer5fehM6zW3p5YUfEFtYAZpT5uHBaAafUeAkF/GiGyWA0ztq2BA9vitCVsW5XJHjP7EKOKfNavGdZD6puct2xxZT7JVTDRNNN/r0pQjRtcFZ9gNKAgmaAlinSq4aJZlhWqYYkk1J1NMMkren0JEz6Erp9P6JIYJrDo3b2B82EDzzawofmFXHtHBO/z2sLkiWFQVa2drOiJcGOniEuURlUqC10k9QMdvepJDWTDR0pNnRY7+05k1N87ZwKO4ZoZomLZ4GN7XG0zHU8r9pvF8aLfLLdTCHLMhLYzRyxtI4XlUAggNfrRZZlEokEbrebgFvm4ycW84PF3fx7U4TzpgSpCmUL1gcC5/S4EFNh6Lra39+iaHwc65SPkz86+aXzdwJnTfUSeLPbzmT986oeLp6S/XcqmiJN0xz39DtYx58rwoq/kUOVdamq6gFb1x8sjraifDwet3ll3pEojzzyGAtE5rFmmGiaRnd3936eYUE4CpqmyU2ZYuwTWwb5w9W1vLAzimpgF1I3dKSYWwsnOXifZkJF0PqcSmX0QNWAP73Vy6dPLWFde5INHSn+940ufnRpNd86z+J/b7UmuXdRF988T85yr/EoEl9cUEp9kZsH1/Rjkl0cX9cWp9Sv0JPQrZiaDE/c1Rll/oTCLKtqoWtODLs5bYI/qzAuIBoETeALz7Xxt/fWclyln19cWcODawd4ZlvEnth+Yks/hmnpnTefXMaFk33IOdOhpmly7+vdmFha2J0XVCPLMv/v9ErSWhtvNiX43qIOzp9q2SVu7Ezy11XtpHSJSFLNuCOZDCZV+/iknP38ydJecqGbZArlw/XGuGoSV7PXfVmCoFsm4JFxy1a8jWHCpCI3syu8BNxy5kviuR1R9var1Ba6+fTJRXTGdBoG0uzsTtEU0RlIHbwrjlu2oof29Fnv0WXTQ5w7OWT9zlEYF0XzuZUBXBktKh6Ps2hPjJ09KQJumffNDduRnbmTyV0xi78L3iaGXoSTqoh3UVXV5lrOdViRJY6r8nFclY//ObmEtW1JFjXEWNYUpyum0xUbOs+GCbc83cZPLqtiWqk3az/Etem8PxGDX7n6/UjanRimGity+WSuTil+LwaBnI0CudxV3BeJxx9IA6bIehdNo+JnB1MMz0UymTwimeNHemJ8JHR0dKDrOpWVlUfl/v23I8/U83jHwTCMYQLma5luvUKvPGzREx/wY4EoxAmCmlsUSyaTY7JIFhhvpsT+Cl2iOJ5KpUirGsuahxYtQdaiaQOvInHbGaXIGTlOHL8o1IvFPp1O2yKLWHCFnc1IEIKwc7EUBW5N0/D5fHYxUZAFcf7EgiiK4sFgkFgshiZ7+NGb1o1DkU/mtgWlI25bFKaFSCqs7PclcglyI242QqEQmqZlNUA4z4fIPRfweDz2dp2574FAgArTtM/5g9dOsAVEUbgX5EaQu1xCoBsm97/ZQ0o3mV8d4MYTK5Ez52ZBrYc3GoYeK2HZGLkVCb9Lxu+WKPDIhH0K1WEfpT6TGRUhqgJQ4lfscyveM03T7IYE8d74fD50Xec9f9nBYNrgpV0xrj+2kKpQdkflwcA5Pa7r+riaSsaLsRQonDlG+8J4i/IjQfwNvZ1WS0KI/r9g53SwMAyDhoYG6urqKCg4BLkAeeSRxzsG0WiUwcHh2dEjYV+OQiNBNNbppsUHfW6LK/hc2TfFL+/MFMYLLR7Sn9D59Cml/GhJD2DZH37r1U6+d4mbKUXZXFGRJS6aGuIfGwZ4Yccg50wKEvYp3H1+BV9+vp1dvWn+941uvnluuT3RNKfCxz0XVPDlFzrQTWt/Tqrx8ae1Qw2XLhk7ezroVmxeJ9ZHIfAIC8V0Oo0kSei6PmpRHGBTRlSrL3Kzt1/F67Lyv3sTOh/9TxP3X1rFzOowAF6fn+V7Izy7vZtljVFbHA64Jc6bHOKSaSFmVARsXhiPx/H4PIRkN9WFbi6eXsC/Ng7wj/UD6CY8sinCnAovN59YzAVTC3h+e4RIyuCW02us+4tIgj+t6UcCPntqKQGPTFIz6Inr9MR1BtLQmzToiWt0x1SiKYn2qEpvfPh9wcE6/vxlXT8v7Bzky+fWUuTWeHF3kue3DRDJhEO6ZYkz6wNcMaOAmWWeIQHR7aF5UGNbZ5LlTVHWtsRY3xbjrpdbOGFCARdN9jMr46+/rTtpq91zyoZkhaBbsvmjeI/9LquZoz+WpNTrJZlM2nxX/BsIBLh4ppcXdgyyviPFH1b1cce5hy5zW7g5ifu0t2sSxTlBva97PnFPeHZ9kOd3WtNpkbRB80CaCeFs+86DbYocrwh7oNvIw4KI7Zk0adKw+8M88sgjj1woYqJTN+ns7Bxz86RzLTt1gp8ZpR6296R5eOMAd5xTzrde67Ifu6nT0q18Xg+XzyrmL6stDU3VTUIe2bYOB2u6++JpIW47o4zPPtPG7j6VP67u41Mnl3DneeV8+7UuVrUmuGdhB18/u9wu7IOl1713Tpi6sJsfLO4mkWPB3ZPQkcEuGpvAj97s5v7L3JQEPcOarDZ1JnlwbT8Anz2tjMlFLn6wuIu2aPaaoxlw/cMtnFUf4HNnVvOheYW8vDNiZ2IbJhT7ZG6YVwKGxpNbB4mlDTtKJq6atAxqNPRZ661HkfjII3uHWYibwCu7LN6fyMTY7Av/n73zDnOjut7/Z5q6Vturd92NjRvFmGownQAhkJDek2967wlJSPJLIb2SQnolEBIICdV0MMbGNu7da++u19u7ujSa+f0xuqORVrteF0gCep+HB1uWNDN3Rve+95zzvudIdM6l5Hpyn97kY1G9j4BLwaNC10icf+wYI2VYBQKfWVFNfUDFrUh2glNRFFbtHeGbj3fTMZrmYysaWNxgFfun02nObPLygXu6ODyW5vvPDJLOWFb2x0Mzl9a5GU4adI6mLcW/QV7B5QP7IuzoSzC70s38Oj+zq9zMqfKwe8B6z0lVqv2MpzMmP33W2q9cNDtAyKPYcVqxfornZDCef8+FkEjEk4UroqLkLNqFq2shVFliWZOXZU1ekrrBhq44T7TFWN8Zy2uJ9NH7e3jZXD+vXlRuF5EICIFYJpM5oivs8cA0zSNyrKnaj4sY9vFAHOf55H2GYfxHVOP/bcWWAgMDAxiGQUNDQyk5foJRSoyX8JJDMpnMS1r9ZeuIHXz64JmV495fmGx2uVyW4mWSxJdzoSmczIspf4vB6/Xax5/qgjPVZJwsy+weTDOWtHrZFNrxvPuMSppDGslkMk+hLawIRWWeUJBPRSHg8Xgm7Fsnrk+Mm1BLOxPjhZO/SOZ9/J4O0oZFlm66tC6vmMDj8diqc6FAKtxkiL54gjyJAJ64NufYF5INkbwWlXKij4o474kCWbFYjGAwiDurnpE1N6qKrcYXSWlxjUI17PV67WDbrZsH2T2QxK/JfOTsShKOfo03P2uR86vnBfnwefWYplV5bJqmTZ7F+Yvfw0SkQ1yf6CsvLL51XUdRFH58zXTe/veD1r24v5dbX9087juOF4LsvtTtdJ4P/CcS489Xr87jhWmadHR0MG3aNEKh0H/6dEoooYT/ERTaLk+GTCYzjkscKZBhGAaxlMXvNNnMFvnlv2dLr8WfmkNWAKljNM0XZgV4rjvBYwejaLKlOLlhVRdfv6SO2ZX5RWyXzglw27ZRtvYmOTxmqUpaKrzceGEtNzzUy4auOD97dogPnllpc43dAymbPyd0k88+1MdwwuJMNT6FBTVuuxekV7P4t8fjsflWKpWyE5T7+8KUezW6BqPMrfbYxyjm1mMr1JfX8qt1fXSMpmkIqHRHdBK6yYfu7eaj56ToGtN5qDXCgCPpfHKNm8vnBDh3ug+fy1Lgiv6YIvjm5JGKLPGGJeUsrnXzxUf60E3r+B+7v4fTGy2e/ljrGEtrVCJpky09Fhf2qBKffqjPSn6npr7meTWJer+Cx6WiZ0xGEhkGovoxBy97oxk+eW9H3ms1foWr54d4+cJqQm7Z5pXCxUA3JTYfGuXBfRH2DeU47NrOBGs7E9y1Q+Ntp1VS5pIYS2X7i3sUFjWFgB7ACpCKcRTBQq8mMZyAeNqw9zjCXUrTNFKplO248/6zavnAvw6xtjPOhsNxljV5j3EExkMkiP1+/3+0h6ETbzklZCfGAb7z9AA/urLxP3hGx4ZUKvUfGVNR7PzfhmQyaSfHXa4TVzhcQgklvPggEssZwyQSiRzh3TkUxqbednoVN6zq5v59Ya5bUGYrwwG29CQwsnGuC6e7+eNz1ud29Kc4ucbNs4fjuBTJdvv5+fohvn9FPR87u4qvPN7Pv/eEOaXew5nNPr5ySQM3PtzN+sNxbnqyn88VJMcBlk/z8d0r6vl/j/fTG8mfowUzEvymN5rhxkf6+NYVjWQycVtYMpLI8K2nBjBMWDnDz2WzfSiKwq+uncbjByP8fP0w0QKe9VR7jKfaW4uO13DC4OfrpqbGL0yIuxSLy6Qzpu3yArCo1s3cGi8uyaTMq+GWDXyaTNCj8ruNQxwYTtEYVOkK6wQ0iUj2s2VumbGkgW7AZfNCrNo7ysbDMc5s8vCy2VkXu+kezp0Z4gurujg0muamJwf41suaKXNbBaXi/p83zcWlc0M8tG+ULz/UyWWzA+wZTNE2kmY0kXMjGoidmDjMlt4kZS6JL5xfTblX5febR9nak4sHm0DHqE7HqG7b6oMVswWrFdG6QzHmVBus60zY41npke34s3Ntl7NW9GOJfPvybT1RdnSN8eql7rxWnSL+60yuTwa3KnNui59zW/zEUgZrO2PcsX2UQ2PWse7fF+X+fVEW1Lg5f4aP81r8trApkUjYYqh0Ov0fS6z+tyZ0jwf/CY4uCrX/G8dzaGgIwzBoamoqJcdPIEqJ8RJecii0NFOwFlqXInFOy3gbXWdi05mYE0nKI1VbiaSeSByLqrLJPudUXYuEqLAun8iaWahtxLlNpoZOp9M8c8i6jsKk+IqZQa6YG7STocJyUPRRcSq3RdJe9AAR11eIyRKaxRYd0zSJx+O2pbogRYVWNbduHeHAkLVYvnFpiOasukIow4UaJZlM2irnwnEX1jvAEXsuFy7MIpFerG/MkZDJZNBkiQQmY9E4lW6PXQxQCGFxI0hg61CKPz5nVVW+e1kF06uDdg8dv99vVzhWBV22IsvtdhOJROxrKEyIinsgxkiMvXA5cNq/AjbpmxbSuGim1SNpLGnwx03DvOXUiqMai6lAKOmdxQH/DcHM/3XEYrGjKr45Efhvvm+maXLo0CEMw6Ci4sQ/xyWUUMKLD0fblkK8XxS9JZNJO6CSSqWKJnjS2SClplhqhETBlN0d1skYpp0Y74nopDMm71teye7+JN0R3Q7AfeGRXr5zRRNzanx2UrjWD6c1etjYlWDV/ghvP60Cl8vFSdU6nzm/lq893suD+yPU+BVet7ic7nCaP2waAeCtp1bywL4xuh1Bz4+cW4skyXZi3Kfl2oIkk0mbU2QyGZKpNDc81MNQTCfokvnVtU1oml7UNWkgptOb7Vl+UoXMDefX8LH7u+mO6Jzd7GHtoQQZE7739KD9maBL5qJZfksdXl9mJ4BdLhfpdDrPmUiWZdLpNPF0VuUd1xmMZQjrMmdM89ncGWBjl8XTUxmTbzuOB5aNZtuwo/hBkajyKdZ/Xishv7UvyXBW+TK7UmNhrYe24RS7BlKkM/nPQNAlEU+b6McZozmn2cuHzqqiusxyj7p7W5h42qClXCPgUnhgX4Qn26K2ukuVIehWGI5nOKPJR+tQku5wmpue6MXvkhEh7XlVrmwfdguxtGHfP5Eo9bkUQCeeNu0CS9FiKJ1O43a70XUdTdOYXe3l5fOD/HNXmFs2DLG0vnFcwP14IXis2+22HZFe6OSqCGqVeVRmlmscHLF4eetQ2rapLOF/G6lUyk6Oi16qJZRQQgmFEI486Ywl6piqS4iz4NLj8bC0zrKK3tqT4I5dEX58VT1vuOMwYHGTjpE0Mypc1PhVmss0Do2l2dgV44q5ZTx7OI5XsxLjLtmKOT24P8KV84K8Yn6Qu3eH+eEzg/yk0sWpjT5uXFnD/3u8n2cPx/nWU/185fLpqDJ2KxuA6eUuvn9FPTc92c/2voljAB5VonU4xRcf7uYrF9UCCdweL99/rIOheIZpZRqfunAaXk22C+pWzgxw0UnV3LKmi3/vCR+x97YmS2TMXI/uhoDKojo3lT4XHhWebo+wf8hah992SohTG334NInqkB/SSZuHGKbJz9YN2QVtHk3h/04rt2O+gk/KsozfrfHxew/RHbb6iIukuCJZqu1av0JfNINbyvDqxZXcsW2Inz07hG6YXDO/DIAZZTLfuqyOLz7Sy+GxNB/+Vzv/76Jamso02kdSbOlJsKUnQWu2mHE4YXD7jrEpPT/FoALF2JDTEh9gLGXy/54YwKdK6Nn7fclsH+kMbDwct6/VGnuraFK88lBrlIdac33oBXb0JdjTPUpTmYbH7bLjlaoskcmYhLMFmSJu+5WHDjMUz3Dnrgh/ec0Mm3sKp1QhdDoagY3PJXPRrAAXzQpw965RfrVxxP63Xf1JdvUn+dWGYZbUeTh/hp9zmr0Essu7EEkJAdILmVx9MSZKj/benSh4PJ7/SGugqWBkZATDMJg2bdpROwyXUBylxHgJLzkUBhlet6Sc1y0pZzRePDGk67rdg8M5IYuJUtM0NE2zSVAxxONW1aNYHEVVmSzLRdUwznMUffGcC4Isy3aiWpBmkUx3vq/QulwEfkzTZE3HeIVTlUfik+c3oMpWPxJnL27Ro0RRFFv17iwOEInLQhxJIT8ZWRBKZ2FJ7sSBwTh/3WpZds6q0Hjd4nI7uOVUnougb7EF1alqUFXV/q/Y+U6kgBDnd7R99QzDwKVKkIKkbuT1o3Geq1Chi7+nMibfe3qAjAlnN3u5aJbVS1OobAzDIJNl+2VqfuGG8xwLx1Mcx2nT41T7OJP/Pp/Pvt+xWIxPX9DAmo4DJDImf9sxxrXzyyjznvhgnvidCQhHgBPVc/uliqm6WJwomKZ5xOKg5wPOHp2i2GQiHD58GMMwCAQCee4PwWCQQCDwAp51CSWU8N+Oo+0hK9TJzj6KhmFMWngp1DtuxVqX4wW9Bg0TdvUnOK05hN8lE00ZHA6nmVHu4lPnVfOpB3sYSxrU+RV6oxk+88Bhvnd1M/VZIa6mabxiUTUbuzp55ECENy0txzCs5Oa5M4K8e1maX6wf4s9bRqkLuHhw31i2lYuX6xcGOX+6h3ff3UXGtAJcZRq0lCt4VYm4bpI2jDy3JVHsaBgGjx+MMhC1kt2jSYM7dkZ561K56Doh1OKzKlxW78SQzJuWlvOrjcM8c2j8mnJGo4fPXVBr92aPxuKMJDJEDJXe0QhD8Qy94STDCYOBqM5gPMNQLEM0ffSKmpkVLkYSGYbjGS6b7efCOSGqfCo1fhXVtCzFI8kMv900zKr9WZ4uW+PVOpSmdShXrFjlUzmpSiOhm2ztSdiBwOPFmkNxdg108/bTKpkeUvjxWqvPpQhYCjSVabxsXhlntJTx3jstV6D3Lq8k5Ja4a+cYd+4cy1No1flVNh3O7StiadMuZhQ9IkWP+oRu2AW10WjUdokSBcCCc75hcTlPHIzRHda5c+cYr118Yp1cUqnUOO4uWua8UM42ziDm6xaHuOmpnIrt5xuG+eCZ1S/IeZxIiMKXF7LI4IXmkwLO3r6T7QHT6TQHDx6kpaUFSZLyeGV9fX2pAKKEEkpAE3EXwzxqXqkoSl786K2nlPOJB3p4cO8o180PsKzJz4bsGv2b54b56sV1AKyY4ePWraN0h3VOyraTjGfJwIxKN3sHkvxpywjnTffztlMr2NGXZP9Qiu88PcA3LqnjlAYvX7ighq8+3sfazjhfXtXBZ1ZUo8o5i+9YLEbIo/D1Sxv4+bMDPLCvuBq+uUyjO6Kzqz/JVx/v46uXNHDb+h6eOxzDrUh87vxqzHQCNJ+9dkuShJRJ865llVw+J8D31gzayeFiSGdjZCLB2x3RSWYMPrkihFfO8IdNFg9bVOvm+kXluQ8aKdw+jx07kCWJ959ZSW/UYFN3jA2HYzzWnuDS2Wqe2CQWizGvQmZRrZvtfUnbZcmtwHvOqOTHa4fsosKHWqP87rpyTEPn7zvG+OWGYZAVrp0fxDAMagMqHzm3nu8+1c1QPMMH7+2e8vNR5paZWeliJKbTPjr52uxVYIKwOCaWM9UFMwPcumXYLjCI6blxfbjVegb//Kpp7BpI8tD+CBu64nkc06tJLKz10h9J0TGa74q0sSvBxq5u3IrEjAoXMys0ZlW4yNaNkNAtxym/30/7cNJu2XRSpWa7nApRlbN107HyulcsCFHpVfnW6hw/E3upzT0JNvck+NmzcHqjl/Nn+Dm72Y8ru6QrijJpm9ETjf9GhfOJwH+jI9DzAfG8QK597EQYGxujo6ODxsZGu8g7lUohyzI1NTUv1Cm/aFBKjJfwkoMsy0UVkqFJEnnChrsY0um0HfQRVoDFkEgk7AS7CLqIIOFUkqqi6i0Wi9nJcqG0EBCBJbFRTyaTecpucX7tYwZ9ER1VtnrxCLxzWTWamUZV3baVuPM6xfiJQE4ikchLCguVuRNTISFHWuxEgFhcr6qqfPLeg5hYlZ/fu6oZr3c86XA7ehgW/lseoXYoRSay7J4oaCHG1nmdCd3Ao05evWUYBq4sw5M1V15QR6hohHI7Go3adu9/WGvZhlZ4FT52Xj2ybNrnLsZRkO66Mk+eIt9JlsQ9dNq/O5Xz4vrdbre9yIpxK1T5K4rC1y+t4xMPWBaaH32gm99eN23S6z8WxOPxPFW/s7e7KIIQ97PwusXvTfz3YiWO/yt4IasbfT5LGedsbSAcLiZDd/f4DacogAoEAi/KqtwSSijh6HG0AUzRR3sifiT4ilh/TdMk6VCMm6Zp2zv6NYloVpHxRFuMRXVemkMau/uTHBq1EuPzqt28Y1k1v1o/wHA8YyuEPn1fJ9+7cho1XovjLamWqfQqDMUzrOuMcel8K/hoGAavObWO4STcvnWI76/pxzQtFfQnL2hEQmdTX8bmHibwj52jfOq8GmZXedjeG2csYV2rk++ZpomeyXDrJivYdOFMP48ciPKP7UNcPMvPNBLj+PHuQYtjzq928URblAf3R9jak58UW1rnZvdAimTGZH1Xgnf+s5Nqn8pgLMNIInNERZGAT5Oo9CpU+lSqvAo1AY0qr8KBoSQPZlVCK2d4ebzNOr+Dwzn+/8qTy5iWVe97PBptQxlu2zzAE23RvOCg4OBBl8zieg9L6zzUhzw8un+EJ9ti4yzUK70K9QGFnf1HVxBY64W+7DAOxzN8/+l+NDm3hqUNK0l/3vQAr1hYyZIGqwDyr1uHMIHFdW7q/Fbg/fVLZF42L8jP1g2y5pD1pffuDbOxO3cfDBMSKR09lSv49GRpdEbSbKtL4ZQA2Pb6iqJYfQVdMu84vZzvPT3I37aPcuFMP7WBExu6KNx/xGIx276zkFMKXum0nRf/PxGuO+dO9+N5ZtD+bT/SGv2fTIz/J/BCFlyKIupkMpl3vCMdX9d1Dhw4MO51WZaprKwsqclLKOElDlsxbpjHVCzjjF2dVO3mrGle1nbG+eOmYW5cWc01f7ES45u6E6QyGVyKwsUz/dy6dRTDhMNjqTwb9Vgqw4xyjbaRNH/eOsb7zyjn0yuq+ci93ezoS3LbtlHeuLSc0xq9fGFlLV97vI9nDsX41lP9fGZFDWTdkOw4pCLx0XPrmFfr5+Y1veO42L6hFO9fXsnvNw2zrTfJpx/sZu+AFZt63xnl3LJ+iDedWsWylhxPFoIO3TBZ2xnn0OjU2sM5Dz0UN7hhVRcidCcBnzx3/NpbGLuQJYn3LCvnvf+2xv27T/ZgUs+FLdZcnk6niacytI0m6RzLcQ2hEN/dn+Itp1Xbfd4Tusn9+yK89ZRyACs5/uwA9+4aIZIyGE1OLbFb4ZEJumQ6xiyF+v+dXsHW/jTPtE/Nnn+ipLjAskYvr1tUxuXzK/nRk11s6Mq3Txe4a3eE951dx9nNPuJoPLhnhFs3DxJLm8TTJhsOx6gPqLZFuiikDbgkdMMajz0DSfYM5AsZBqI631ndz9zqCHftyPV2v/HyFlKOeLso7hWxn+PhaStm+PFoEl95rB+wbP9ftziIS1F4si1K20iadZ1x1nXG8aiDnNHk5YIZfk5v9NrFnsIlTPBJII9XOjml+O9o8WKNb/4nYm4vpMOlsxWrmNumsgZEIhH27t2b95qYc0OhUKno8ihQSoyX8JKD6C03VUzVukMkuSez43YmHoXKV/Q+mQpisVje9zsJWjweL1qVJnpf+v1+OwC0ttP694AmMZLMLaDfXt3Ptp4on7ywBb/fbx/HGcCC3OIkbILE8eLxeJ6yeipjJ9TgxYIJov+3GB/R7+ObT/bZ5PCT51ahkRmX+C5UXTuJglOdLciI85iF9veQn+D3+Xx2H714PG5fr8fjYdWufr67ZoiLZ/r5yDn5pNpZrajruqUYByLxFL76CjvpJhTuqqrayfFYLMbOgTR/32apez50ZiWVfpdt1ePz+azNgeNaQi7TLg4AK5Es+jo6LfpFH55iEA4B4hhiTEUVrLiWU1sqOLVhhE3dCfqiGf61e5Rr5p/4Ps3FFvhivx+ntb+maaiqapNRZ5HJZHD2nnfa5r+QtuMvBP4TJPqFIpsT3edjDZ7GYjHa29uZNWvWlJLrJZRQwosfU+VwgK0unErAI5lM2pwqbSvGJdJGrg3OGU1eHm+z5rhN3dYaP6PCYyfGBV6ztIr1hyJs7kkgSSbTQxrto2k+df9hvnlZLfUBDVWWuGJeiFu3DPHg/gjnTffb/fri8ThvXBzg4GCMZw9b8+erFldR5TbpD+v8dn2/fazzZgT4zIWNmHqKaSEX23vj9Ed1JM0DetJu92OaJusOxWgfTePTZN61rJK4brKmI8aP1/TxrcvqSKfTZAyT4XiGwbjB6jYrsPfAvgj37M0F+WQpNyZbevPXl+G4wXA8lffeCq9ClVehNuii3C1R49fQMxnu3DnGy08q4xULggTdOb4hSZKj+DNAbZmHPz03wBNtcWZXaLQOp/OKTX+wZoBTG330hHWe644zVhDQdCmwtN7LkjoPpzX5mVfnZ13bCP/YGWbT+qGiz8PsCpVKr8z6riMnxYNumbDjmCMpOKfFn+cWlS6ISn/krEquWlSXUzt5vTx8wLJfvWy25ZQi+BPEeOfplaw5ZP27CXSH838H23vjzK/IBbO8Wc4bSxs2p8xkMnZLF03T8mwnPR4PK2eYPLgvwva+JL/eOMwNF5xYFUQ6nR7H951ODk5omoaiKCQSCfx+v70XEonxqfTW9nhyBauGYYwrrj1vuo+Hs9aiaQPWdESLtvn6b8d/gie/EAWXIqBdjEMe6/EHBwcZGxtj3rx5pYLLEkp4CUO1e4wbR8UrnTEZJ960tJx1nXFWd8S4fijFBdO9PNFurXWffbCX71/ZSG1AtR1j7tsbZl6Vy7Y77xzT+cblTdzw4GHu2zPKxTO9nFTt5gNnVvHdpwe4ffsoS+o9LK7zcHo2Of7Vx/t45lCcb68e4NPnVeNWJHs9EOvc1SeVUe+T+PoTfeN6g/964zCfW1HNTU8N2Enxy+YEeLA1zq7+JJ9+oIsV00d495m1NJVbhZubD43y02eHOZhtX3N6k5+ReDpPOV5oAV4Mgr+5VYm7do1xVrOPk2vcaKoy4RhPr/LmFah+78kejPPquXBWgC+u6mTD4YTdS92jSiR0k/qASl80w0OtEb5zud8uYAC4desId+0cIeygeYfDR1bLXjjTx+tPraXGbaApEmlJ5SP/6qBjNM0tG4aP+PmjwRMHIxwaTeN1yciSOeHY/mPHCP/cOcL50328/tQaVs4O8a+dw8TSGU5r9LKzL0FPZPy1NYdc3HzdLDpHkuztj9M6lGRvX4zNPQkM0+pN/0RbjCfacvdDk+BLD3Yyr8ZLS1mcmeUaLVV+m5OdiLjTGU0+vnFJLTc83AfAbdvCvGVpOTdf3Uj7SIon26I82RajO6Jne9zH8GsSZ7f4uGCGnyV1Hrv4BbCdw0SrUr/fj2EYtiPnVFTuwnEJrN+X4JfO9qcvBvwnuJFoJft8xyxFPqEQU91XFMIwDLq6ukgmkzQ0NJyo03zRo5QYL+Elh0hkatVyQsVwNBbDojLtSN8rEs4Tkd5EIlG09zaQ13NIJLpFZVxhUldUtYvFUXxu9cEwgE3inLh/f4xnOvfy5+ub8Xq9JJNJNE2zlcIiOS8SseIcRZJInNNUx24i63LxedFzU2BtR4THD1jnf06zl3Onjw8YFQa5RO9CoaCH4slAUQAAOYV/4WLkTLQ5ld1DMZ1bnuzk6WzQ8aEDUa5ZUMbMClfe55y9u4ViPJnO2ERIJH5Fb3WwApEpU+G7T3ViApfPCXD+nEo7USvLsl1l1u/o8Vjjz+9PJa6nGMkSmxbxnc7XnYUOgB0YdI51LBbjyyuredXtnegG/GrDCJfOCuB1ndhKtcJ2ARNBJBQg5+ogzncqEEo9MX6iT5BAocX9/zKOhTgLm59jtbE/VrJ3tJjo/hiGcdTtD5wIh8OlxHgJJZQAWPPBVCDWpKOZ95JJK5EsFOMuRbJtLgHObfHZifGeiE7PcITGgMUtnIlxWZL4+DlVfPDebjpGdS6f48fIvufzD/dx06V11PpVrlxQwa1bhtjUnWAoJdMUsootxXyZzOSCEw/sGebSmW5+v2mYWPacJODDZ1YgmxkkVcXnylqDmvBk6zAXzwnZPNIwDP6cVYsvb/HzXK9Oc7kH5VCMnf1J/u/ubtIZo6jKu7DXduG/V/kUltZ52NaXsHlRyK3wtUtqOKk+RCqZUzILTnbz2kGiaZPbto+ytjPGu5dVsqTeg6JYQVFRaArwhsVl9IcTPLAvQlu2L7QzbLNnMM2ewdG8c5KApQ2W0mZhvQ9FAt2UeLItyreebKWjiL2lS5GQJUs50zqs0zpBfNOlQMqRi8wUDEgqQ9EWSk7ctj3MRSdVo5iWw9Sz7WP0RnT8msz5s8rwet2Ypmmvq06F/BVz/DywP//7b988wA3nV+NxWdaiwkp9NJYglfLYbkTCdlvwUBEkEnuh955RyYfv62bNoRjPdcU5rXFqPG6qSKVS44qaM4aZF8AUXN/J0QV/ELzySIE7J3f1er3j+JMsy7znzHoebm21X7tl/dD/ZGL8WHilx+M5rj7vL0RbJWexcSHE83EsRQHpdNruD1xCCSW8NKFmY4h6xszjG5NBxOqKYUaFiwtm+Hm8Lcqftozw2RU1PNF+CIC9Q2laB5PMrnIzo9zFvqEU+4ZSXDk3wPa+pK3ezehpLprl59EDUX7+7BDfu6KelTP9bO6O8/CBKN99eoAfX9lAyKNweqOXz19Qyzee6GdNR4zvrB7gU+dV43VbMQNN0+xCsNOa/Pzoqia+9Eg3hx1q6lTG5AfPDFIfUGxOlNBNzmn2sKvfmnufao+xrrOdl58UJGFI3Ld7FBPLLvx9Z9XSEoAP3deTNxZiRXIq4idCQje5e3eYu3eHKXPLLJ/m48xpXk5t8OQ5QiqKggTMrXKzuSfB0no3W3qS/GB1D//YptFRoF6v9yu0jeps7U3SHNI4NJrm06vylfO6QV5S3AmfKrG03s3yliAnV2vU+BVu2TjGg3tHeexgjLk1UU6t03igNcaqvaPEC4nyCcJQwmCoa2rxk4wJj7XFeKytPe/1TV1xu1+7gDjfXf1J3nrbPqaXu6j2KXg1mSX1Hg6PpemNZpCAi2cHWN0WIZFdbtMmrD0UZe2h3O/G75KZVaExu9LNrAoXsyo0poWsIuBjxZJ6Lz98WT0fu78HE/jjlhHiaYO3nlbBm09x8aal5ewbTLGmM8mjraMMxQ0ebo3ycGsUtwKXzA5y/gwfC2rc44pBnbxyKhACMicXLfz8C93W5vnCsSTGixXcHst3PN+YLHd0PAWfU815lWChlBgv4SWHqUwSoofysSS9hHX3RIvQRFVBTpimOWHSRqimRaJb2LkJiE21COLoum7bAnq9Xlr7wrSNpJDI9RO8bE6QHT0xDkcsdjGSMHj5n9v595um270uhSJCJOZF7xaw1OiCwPt8PhRFmfIiLOzMnQuWLMv2550LYSSh863VgwCEPApfvnSardwWiU9BEIoFJzwej2VJOsEGQtM0+3tEf3MBodwWlt0iuSxJEk8cSvGzZ3rzql4X1brtpLj4DORU/5Ik2YpxnXzFvDgHsYEAuGX9IH3RDPUBlfefXW+rysXzLBTgo6O5Z7bMo1p2lNnznigpLq5XjJnzuXOOofgup21koaX6DefX8P8e78cEPr2ql59c3Vj0eMeDIym+RZBSBPMLe7U6IUmSXVgiPiMCpE7VUuHnnb3Y/9cxVbIoWjQ4CwaEo8CxzJXPdw/PIyW+jycpHw6HqaurO+bPl1BCCS8OmKZ5RF7pVJoeCwzDIKXnEuMJx59Pa/Tm9Yfe3JOgucwqqnMmxuPxOJU+lY+dXcVXHu/nwf1RPn5OFbdtG6UrrPP5h3q56bI6agMyp9R72NyT4N6dg7z5lAr8fj+mabKqNcaWnjguRaLKp9IdTvPZh3rpdSg+5lVbvb/FOhpz8KI/PDfEs50xBmM6Q3GDvkjaDlA+3hrm8db8AoPeSPHiUVmyrBwX1Lip9ilU+VSqfAqVXoUdfUm+/Fgfg7EMpzZ6+Ng5Vfx47SAPtUYZTWb49IO9/OQaD/XZuiZd19E0DZ/Px8cv8DCneojfPzdI20iaGx7u5fyZAd5xWgVNBa46w7EUy1vK2NKTtJXSk7Ulr/YpfP6CGpY2VxCLxQgn0jzYGuPuXaMMF/GtlCW4Yk6A6ZVefr6uv8g3Fr4/X7MTS1uqpEI1Tn1Q5tR6L/fvszi7IoEkWcHYw2Np3va3A7zt1HLOn+7jwX1jAFw0O4iCYRcmisLAA2O5AKQoDqj2KQzErOtZfzjG++/p5k1LQqyY4cOrWZw37ijK9Xg8ZDIZu4WP04VKYEaFi6tPCvKv3WFuWT/EzVc3jguoHg9EoF5wvZFEhk890MP1C8u4bE7AVgl7vV4SiQSBQKAofxBcSvAi8dpUCzoNw6Aq4KElpNoJgcG4wVA8Q+Uk7b7+2zDV5LBT6ZRIJOz50eVyTVg0PRl0XZ+yy9uxYrLgrNgjHevxw+FwKTFeQgkvYSi2YEI/4t5cuP4dKab4hqUhnmqPsrErQetwisagSldWgfz5R/q47TXNzK6yEuMAI9lMo6AzewdSvP3UCtYeirF/KMWq/RFeNi/Ie86oZM9gmkOjKX74zCA3rqxBkiTOaPJyw/nVfP3Jfp7uiCE/PcBnzq8D08hry+jxeJhZrfH9Kxr41IPdeYWBY0mDsaSBS84WVbZFcSt+zm7x80xH1FZe/2PnmP2Zi2f5ef859YQ8Kjeu6sQwrdYwbSNJOrNcWJOtxLssQcAlj3PyKYSUPZeHWyM83BrBrUic0uDhrGYfy5u8NFZZ8c+TaizOXOtXuXa+i3/uDo9LigO0Oa5R8POJWvvU+GTmVbs5rd5LX0zn9u1jxHSTlkovl8z02mvRB88IEXRJ/H37CL98Np8rFhZMHgmNZRpp3aA/lvuQKluti7b3Wc+HS4aUAStn+BhOGGzpSeBWJFbO9CPLMsPxDBsPRyflw2Cx1ckKFDrH9Dz7+cLPPtx65Hh+NGWwrTfJNoeLlIR178u9CtVehZqAQkNAI+iWcasSXlXGo0q4VRmvKuFRJTya9ZpVqCoxp8rNzVc18KF7uzGAO3aOcWgsxbImH91hna5wmq6wTjSVf33JjNV26N69YWp8CitnBTl/ZoD5tT40TRu3l3TyDcGLALuAsDAHUIyX6rr+onC7nGpiXNM0O36eTCZtZ1Wx1zgaJw6wYs7Pp5BHkqRJizpF69xjiR+INpJCzFTC5Cglxkt4ScE0zSMqe45WJV4MLpdrwsTwVCf2iRYwoVIu7CsNE1fbOxUeT2f7y1R4ZIayPR/fs7yaoEfl9q2D/GZDzsIxkjKQ5VwyVQSDnApc0QPbGQxIJpO2Wv1ICXJN03C5XHZgKp1O2/aCwmpeLAiff6SPVMay7PnaxbV2Ulz0IwTsXuSFC8hUFrTCcy1UtTr7buu6Tl80w48e7eC5Lut1UYWqynDjyloA2zI0Go2O61HozladZshVg4nkvAgqi3E9s9HF+kMKHzunCp9LJpXS7WdBlmVisRixWIyuYStQKWXPUySFhZvBZMSgUBElCirEuIgxFUpZcT1OxdXyaT7mVGrsH0pzcCTNU21RVsw48WoX4YyQSCTGbR6FlZCw6C+0ynfaxheqvv1+P7FYbFyhRjG8GCowYfIEtXi+CnspChyPVVM6nX5eg5i6rk9qQ+W0MT1aJBIJ0um07epQQgklvDQRi8UmnUM1TbO5zbEimUzattcuRSKe9XsUwZul9R42dFnz84bOGG/M9ic8PJa2la+CW5wxzcfLTwry7z1hfrNxmK9cWMtNqwfojuh84eFebrq0nivmBtjck+Ch1ij/d1Yj0WiUvqjOrzZY6u63nlLO2S0+PnF/t50UnxbS6BxNs7jOg8/nI5lM4nK5iDqiYz0RnZ4iRQSabAXkKr0KIY9CJJlhU3cCZ8ys1idTV+ZmW0+cS2YF+PDZVUXHalmTlzedWsWfNw3y03VDzK/189FzamgKufn9c0PEdZP3/LONr17SwJJaK9Dk5D1XnRTknGY3t24Lc9+eUZ48GGFtR5TrF1cwo0xmV3+KrT0JDgynJrTlPLnGxa6BFKaZs3gfiGX4ymN9XDM/yUA0zcOtEVITPDYrZgR55xnV9I3G+OxDvRMcJYfzZwZ48qA1rmUumbHsFxezqOwNG4RmuoBozv7TcSH9UZ3vrB7g33vc7MvamF4+r8zeu4gizFgsxvau3H6qPZsYP6XBY1uBy5Jlr/6dpwe4a5eL5mzPdWcsWvT0FoEb0boH8t1+3riknCfbohwO6/xz1xivXnRiW/UIruzz+fj2U+10R3Tu2Rvm4tkBPJpq7028Xu+437Po5yfgdJ8Ca+9UGPCcLBD2usXlfHv1gP33bz/Vzzcvqz8Rl/mCYDJeJfYhYs8wUQH4sapkCluOnWgcaQ9/PMHncDhMTc2JbRVQQgkl/O9AFHyl0pPHF45m79wY1Lh0ToAH9kX446YRzm3xcscOa+2OpAzu2D7K9PLcXnZbbxIJSGYLMPcMJHnt4hBvWlrOLzcM84fNI5zT4iPkUfjixU184J8HWX84zr/2hHnF/DIAzpjm4wsr6/ja47081R5DerKXT5xbbXNRRVHs8/e7ZN51eiVffLRv3LmrisS7l9Xws7V9PNQa5bI5gXFtYgS6IhnaBqK4XG7WdESRJXjjkjIqvApvvbOTpG4iSXB6o4eNXQnGkgYht4wswXAi933OEkPx/0qvgipL9EV1u4+0LMHCOi9nNnmpL7P4y5aeJCH30RftScDyJi91AYV/7bG4woIaD59ekVsPQh6FX24Y5vatwyTTOu88rYJwymDV/ghPteW7C3hUiaRuHlVSHOCyWX5+v3kk77Uqr8LVCyrY3mdx0WVNbtYcSrK5J8FIdtw+t7KeZQ255NsfNincsWPMLmAA8loNFeKGixoJuWX+8lw/W3uTuBSJpjKNNgfPliUr0Z/I/jR8mkQsW2Tp02RSGWPC73fCBMIpg3DKmHI/eic0WRSigiyD2P6t7UywtrNIW1Cs37UoApgeUumJ6vTHMtyxfYQ7to/QVKZy0ewQ50xz0xzSbCclIcIpFKWI5K8ztj1Z8la4x75YIcZD13VSqdS4/bYQEx5rvPL5tKQ3TTNPCFcMx6MaD4fDVFUV3y+XkI/nvxlTCSX8FyEej0+azDrWipxCTPYdU9msF9qHF/t+Xddxu934fD68Xq+dJJzo+rxeL5qm8cwhi4iGU7nAatCjEg6H85LiJiArih3sEUnudDqNx+OxVbmGYdiWmEKd6/F4UFV1wgolZ4AtlUoRiUTsXt0iwCxU57FYjEQiwd174+wbtBb81yzKWZQLexRnAO1YlKgTVWwVC4LE4gnu2jHMe/5pJcVdisS503026Xn7qRVUhaxksBgzMS6ieEHTNLKukvbnNE3LO55QeXs8Hs6fU8lvrmtiYa3HHmuR+B0YidjPwljK+rwi59T4Ho8HTdPs58q5wLpcLrxer2UHlU10i+8SPeQLbWSctuvCWcF53t++vA7hUvTdpweeNzLmbBcA1jMuAvKCSLrdbtxuN6qq2htJUZwgkprO5GaxjeZECQ1Rhfi/jsL7I8ZKPF+xWGzSe3g891cEMZ8PiAKTyXA8x34xbzJKKKGEqWFsbGzCfxNJ8RMxV9hW6tmAF1g9m10uFytnBuz3behKUONT7F7kIjnqLAh7+2kVzKzQGE0a/H7zCF+7uJYav0LnmM4XH+3jlGkhQh6FoXiGJ/YNYpomP1k7SDxtsqDGzdUnBakPulg5O5ec7M+qu09vLrMr7OPxuK0Yr/JZPOK8GUE+c34tHz7bCvhJwC+uaeIzK5uoD7pYdyjGhq78pPiHz63jL2+YaytrFta6x42P4DU+n49XL/CzpN5DQjf5yiNdxFIZXr2wjE+dW4UEZAz4/KpuHmkf76KTyWQocyt84Jx63r+8khqfQipjcuvmIb7x5AB37RqjNRusawlpXH1SkE+eU0WtL8erdvZbSfGVs4L8/rombji/miqvwkjC4I+bh7lvX/Gk+PxqF995WRMrZgb59hM94yw2J8Lyplxbj7GCL/ZliWat3xp/E7htq+XH/qmVjbzt1PI8C/j6gIpbkdjdnyRjWr3Kq7wKfr8fj8dj9XzPZHC5PewdzHFmYYF5Sn3O5tynybxjWTVeTWL/UIrHDlrB24FY/jkKxyLAbtkUi8Xynlm/S+btp1UAcNu2Ufqjz09h4mN7B3iyPYYswUfOqqIs4Lf3I053nLGMyk1P9ZM2JKLRqK0QF/sfJzcs/P2LYuBiMAyD82f4cTsU8Tv6nt+WMycaxXixx+PB7XZjGIa9r5sImqadkL348wHhWDURjich/2Ipti2hhBKODUIxnkpPzBmPpaD8dYtDaDLs7E/aLU0E/rh5hMagtf7KkhUfrAvm4iJ7B60421Xzgswo14ikDP64eQRZlmkpk3nH6da6/Lvnhtk/mFurljV6+Nz5NagyPNke40frRpBkpaiLX3nWEcWj5q8dsbTJr9f38/qllQCs2h/Jc2dcOdPHGxaH8KgSu/oSfOKBHm58qDP7b35qQ17KPCrfvrIFCUs93RvN8KWL6qkNWBzYmRQHiyNJWG46AkPxDH1RnQU1bl69sIzp5RqGCdt64vx64xA/etpK6vdFdfYNHV2ytcYnYQINZSrvPqOK0xos15An22M84Uh4XzO/jPcvt8bhn7vCvP+ebt5252F+v2mE3kiagEtiWpnFmRK6ecR+6gIzyjUum2tx+T8WJMUBWspd+LXct6myVcAqkuJXzCtjaa1GSnIxmFJoGzPt1kqNZRpLG3xITJwUB7hz2xBzqz2cXGfFThUJfnJVA3997XTeeVoFLSFrvBOOJVIkxesCKne9aRb3vW0ud72+hdtePY3fX9fEz1/eyI+vbuKbl9bx9cub+OyKaj5yViWvXxxi5QwfJ9e4qPMreVxrKkgb1n4smTGnnIh3KuPbR3WSBUv94TGdP20a5H3/7uKav7Tzt23DHBqyOLCIZTpbQabT6XHJ0sksv18IO/D/BHw+n130HYvFJuVfwjX2WCCEas8XRNvaiXA8ifkSr5w6SonxEl5SGBkZKfq6SBoWEjWRIPL5fHbQYyoQdmrFjnOkCcrZQ/xISCaTxGIxOwFaDG631cMkHo8zmpbYM5Dtb55dzE9p8BHRdV51R8+4z1b4XHYwSNh/A3aVv+g7LpSZkiTZqgoR2HKOgyzL+Hw+XC6XvdCLxKzP57Mt5CRJslW/AIfHUvz6WYt0toRU3nxKRd55nohKLtE3vfC+CQWJwKFRyzr0lxuGSegmSxp8fO/yOp49ZKkemso0XrGgbJyaVCTEhcI2nU7jEpXBei7RLRbfwkpBWZbxe6zxEkUAmUyGSDLDB+7t4seru0nqBqPZKlrRP0eoMZz9a0T/cnEf4vG4rdgX/cqdduXC5lKcVyaTmfQ34VIUPnimRd4zJnz+kSPbgB4rnCoecd6SJNnjLJTjTteESNLgrbe38rLf7ycWi9nKZSCv6ENgst/si0ExrBZYxIpijqkUmBTrk/l8QKjUvF7vUVlNJhKJSfvKH09hQ8maqIQSXtowTXNCXilUkYUJMFF4JtrOTAWGaZIu0mPco1mqgjOavHZyM5wy6BjVacoGyDpH03Z7IAGXIvHp82pwKxKbexKs6YjxjUvqqPQqtA2n+NwDHZw/3VoTH9gX4aHWKJu6E7gUiY+cVUUw4Kc3kua+3da1S1gWgRIwJyTZRZJut5twwgoSnlpvzdvDsTSXzC1n42Er4DezQuMzq3p4/z/buH/vGHHdpKlM4/+WVXH+zKB1DruHGQnH2NNvXcOp04K5a8lySCd/9HrcfOnSZqp8Kp1jOj9ZO4jb7eaSeRV867I6NNkKVv3gqR5++nS31TrHMNnVn+S2bSPc8FAP1/xhLzevG8qzlBRoLlP5+sW1/Ozljbz3jEqWNngJeXL3Upbgsyuq+cLF09g/BnfuijBYxC5doDGo8oEzK1lU6+Zrj3Xzjce62NmXr6QtDNQKeFX4/tM5pVXhE5WwI3cSzphzmQvObPLwljMa+HzW4QisQorXLy7Dlf2icNLgnXd2cOumflIZg2QySTKZZH9/lIRu4tOsxDlYCp7TW3LFEtGUwfUnB/nD9TN4+UlBu2BybUeEHz4zyJiu2NzL2fZHoJDbXzTTz8k1bpIZk99snKDZ+nEgmjL42bNWgfD1iypYPK2cWCxmF6jG43GGUjLffryLN/61lafbY3zi/sN5/dwTiQSRSMRWRsN4p6LJfvdivjinJcdbTOBPm0/89T5fKJb0NwxjylaUhZz0aDHVIKYonBWFoFNFLBabkIc6i26PFkcTZyihhBJefNCUbI/xIvtv4dBXmBQXbT6KxbAEqn0qV59kqbmfao/lJQBM4NYto0DO1lvP8k0Jq71iXzSDIku8d3kuQX1gJIOu61w9L8hZ07zoBnx79YCdFAU4c5qPz66oQZHg0dYxvvd0P8nU+MRxyJtL6BYioVuFiYJjGSa4s2Rmd3+KN53RwC3XNHL5PIt7iNY0u/oSvOrPrVz3l4PcummQs5utNbVzNM3THVF+9+pZzK7MzdWqDFfODbCwxoUJdnGmyzFYu/qT3LFjzHbIORKcn/VMsOz3x6wD/Xt3mEOjaT54ZpXN53+wZsAWBaUzJn6XTEMw1yoplTGZWa5y8Sw/HlWZ0Hq8GFQZ3rQ0xM+uncFHz6ujJaRQNOpjmvx5S64AeO2hGElHRvjR/WNc99cOXvmnfbz1bwf44L86uHevpXo/MJRiS3fsiEn63f0JXvmn/dy+1eJfCd3kx88Mcu++KB5N5p3La/nwWZUsqB4fdwl5ZJ44GCEST+JxqdRWBJlWFaA5pLGosYwzZlRwZnOA86b7uWR2gMvnBrhsTpCLZ1mvnd7opbksJ1Y6EiSsXvYzKzTObvbymoVlvPv08jx+XutXuHpeIM+JoTGoMq/aQ0u2b3rAJaMV6XVumPD7TSO885+H+dDdbdy9c4SuIUtAJlxSRcLciedT1fzfjKm4samqetzFlrFYbErcTuQzjiaRLpxkJ9obHE9xfYlXTh0lK/USXlKorq62FZCQ68ctbHEFnK9Pxaq8GIQq2Pm9iqIccQJ39tc+GojjFfaxFDbIAE/stwIrPk22ievsColX/vHg+POQrPMVVi2FAStR+S/+TfTRE9cprPQKJ3MRUBBWhOJahX2iz+dD13UMw7DVGZ97qBcTi8TddGmur6+wXywkB0eb7BILXaHyWSAejyMpKrdtHuSv20bQDfBqEu85s46r5of47H3tpA3L4v2mK1pQVet+iB7HIrEt7otQ33s0awqOJFJ2D5F0Om0XRwgb6EQiYRcLiGdTqNB/sXGU/miGDV1xMobJQDjbo0+R7MIFYTtumqYdABLFC4Vw3i9xrxKJhG3hIywKnfctmUyOe94vmxPk7zvG6ArrbO9LsrUnzpL6iROUR4IgC4L4CRIBOet056bR2XtLuCWs2jvCT58dzqvc/O5T/dx4+XT7vCVJIpFI2GOkKAqyLE/4u30xVGEWu4apBAlPlKrH2TKgGMTvQswvoh+scAY4Epz9PcVzIZ7fY91IaJp2XNZGJZRQwv8+JEmiqamJw4cP23ORz+cjnU6P42FiHitMDk1F/ZN2rFluVbaDhz7N4hVWsCzXN/K5rjjNIY0Dw2kOR4yidsXNIY13Lavg5nVD/HHzCIvrPHzjkjo++1APB4fTZLJxr43dcbZnk7RvXBKipcLiZbc8O0gyY7K4zkNTyM0De0cxgS39OmdpOS4Yz9LZZU1eHjkQZUdfgr9t7uPpDuuaDwxn117g4jllXDm/nLkhK+E9loINnRH2Dqa4fWcE3bAsLZvKPfY1OXsRO9vBuIEvXtzIx+/p4Mn2GHfvGOaKOT4W1nn52csb+ch93cTSJnftGuOxgxESujkuKFvpVVhS5+HUJh9zK1Seao/xj51jHMoq66+YE6CpTOPWbaN5KibDhD9sHuG3z43QNwVlc0o3+Nm6ITt4aKnLM/lW8gGF3sj49S5e8PXfvqqZT9x7KO9cZMlSMr1/eTU/e9ay6B5LQSSRIaPHuGheFT9b189Q3Drg7zeP2p+v8MgMJwx+ua6Pe3YO8+7l1Zw7I8jOXut75td6GI1nGIxnqPZr+KS0bUVqAqOJDEGXxHvOqKTWr/Kb56x9yMOtEZ5si3LtySFeuSAIWL8XJx8pxu3fu7ySj97XzeqOGJu745zScHy80skBfr9pkMFYhoagymsWWi4MqqqiKAoHB6LcsSPMw/tH81T8zSENRZby9m1iDyR4oyiU1XXd5vITQXzmbadW8NjB3Lxw9+7wuKLg/1Y49z8CR+J5AieqvY4IYk7E3QuPIwooj9SvV0AofIRrmvNzqqoeU+uMUgCzhBJe2hCKcVPKrYPCgdEZv4ScfXA8Hh83/xRLBF2/sIwH9oc5OJzO6zMOsGcwTdAlE04ZSMBAzPo3YQG9dzBJXUBlUa2HC2f6eexglB+t7uG7V9SjyBIfObuK1nu76Qrr/PzZIT5xbrX93Wc1+/jMihq+9VQ/j7aGkSWJz6xsJJnInXNNMLeOB1wSHz+vnv/3aLf9muASojVNUjfxaxI9EZ2frenh4+c38IEzFLZ1R+3r6s7ypWQG1h3Kb2Xy8P4w3WMHac2quxXJUjTfty9CnU9hab2XfYNJYmljwpY3U0HKsKy30wYkHPStWO/vjAk/WdvPty5rYMV0H0+2x9AN+Mpjfayc4eeJ9pid9BfjAJYC/uBIvpX6VFDhVVi1P8KdO8N5xQyFWN+V/xylDPIaozvHx6fJBFwyimzSHc7gUiRWTPdR7nMzEk/zSGs4z6pelazrLrSuN4FVrRHgyH3E9w6k+MbjPbgUicV1bs5r8TG3LshwJE5fJExXWKcvZnJoJEF3WLfdt4pBlqDOr9JYplLrV3EpEumMyWjSoCecpn00jW5YfefHkgYHh9M8QxxVthykOkbTZEzoi2ZY0xGzW5a+f3klV84L2n3CRUtLl8tFxoQN7cN886kBu0VAtU9mMGawsy/Bzr4Ev9o4zCkNPi6YGeDMRheVQS/RaNTmWcL1cyK8GJLmIhbuvBbhLHWkvIlwfTpeTDbGYt51ztE+n8/udX4k6Lpuu0kJLig+dzwCpJKIZ+ooJcZLeEnB5XIxffp02tra0HU9jzSKisvCgKYTiURiyhOMmMREIlP0gZ4MPp9vyokmobgG7ESyruuoqmqrZ1OpVB5ZXptVNQsCpAJ/2ZojHYoEb1gS4k9bRlGzgR5nMlYkGYXiWag4DcOw+30Lla4IEjuDAyLJnkql7CCESDqKxKZQTYt/++EzgwzFrfP99Ip6asp8eT1WpqpAmAiFwRHTNMcFdPYNJPjJuiFah6zjnt7o4VMrpxGQ02xoG2ZjljReOttPpUtH13Pf6/f789TKkEuMix7j6YxpJ6CFLb0oClBVNe86nQv7YwejPH4gbKmTLmjA51KIZqxF252tOnYqXQqvu1hy0Uk6CsdB07Rxi7MIXIp76BzP77+sntf/rRMT+PJj/dz5+pap3ZQiME0zL5hY6PAgrkOoP5yK9y8+3MOmnvHPiSLBglr3uD7U4u9CZedMeIj+NQIvBit1YUnvfLZEwctkc1YhQT0eiKS183kTiaTCOVE4Jkw1gCpcLcT3i/nRNM1jJsqlAGYJJZQAUFZmqXD6+vpIpVITBi4nmquca9VEcBZzuRUJQ7aK+dxqbu06o8nL3butvpEbuxMsqbPmqI6RJJJUVnSuvnxOgE3dCZ7uiPGd1QP84roZfOuKJj79QBcdo2m8mkQ8bZLQYX6Nh+sXV2IYGdZ1xljbGUcGFtd5+fduK5GqyHB6gxsw7fUzmo3+Bd255P2vNo7Y5yCCZJ+7sJFzmjSbMyUSCcpcCm9fVsNPn+njXzutzxSzUQdsVyNN0+zCuSUNbt61vIZb1vXzs7V9BLRahuM6W3sS2R6B1pgIS8igS2ZxvYeldR6W1HuYVmZZYotCzzeWu7hkdoDfPDfMmo4Y9+3L8We3IpHMmPb1dIcnXltcisScSo0DwykSOgxkOW5dQOXNS0P8cdNwXlLcr0lFk+IAcypdjCUz9EUzeFWJ+bW5APPZLT6e6YjZMcx/7BzJ++yb7mjn32+dQywWY2Gtl6faxz+DfpfCe86q41fP9tMVTvPlR7o5rXHUtmOdW6Hy1JjFiQzTJBjwE/LI9phu60tyzjRrD9GYdTFoLlMJeRS29yX527YR7t8zxmsXh7hqXhDI2Gu1SG46C3xnVbi4cl6Qe/aE+cX6IX5yVaPdl/VoUMght/cmuD97Pz90ZhUhv3UO3VGTW7f08sTBiD2OItB9ZrOfz1xQjyxh72vE+SqKYnNFUUgsy7JdwAy5fWcikcjjoKqqUuWDaWWqrQBL6Cbbe+Msqjv2QoAXEsWS/yKAO1FBo8vlOiFJcQHTNMdxWzEvFR5HcM/J+nQ64Xa77XZKzuJLOPZ9QSmAWUIJL22ItUySZSorK4lGo7b4QGAiUY+AEPAUFgaFPArXLSjj1q2jjGUTcB4ll7CNZVXAMyo0DmYLFgX33DOQZMV0y+b6fWfXs67zAPuGUjzUGuGKuUGCboVPnFfNDQ/18tjBKKc0eLh4llVc5vP5uHCuG1VT+dqj3Ty8fwzTNPjcRc2YhpUgfGJ/rpXju5bXsrzRxQeXl3PzsyN512aYuQRkNGulfc/uEc5odJM0JLrCOl4V3nNWHX/YOGAnkothR18uliPs002gN5ahNza1AqliOHOaj1csquKJ/cOs64zZXMiJVMYqgCx0EtrZn+bLj/ZybjYxDhY//WeW27sUibqAigR0hXV0w7QtxY8W/dGpqVCXNXrY0DU+Nt1cpnJoTGdWhcbXL6mjOhQgmbDiScMpidffuh/DNPnI2VXIksRft1vXMK/azZ6BbEzTtOzzr54X4NnDcTpG83mzV5M5qdpNQjcZjKUZimfsot1CpDImG7sS2ZjsUPE3Yd3ncq9CrV+lMagyo0JjeshFQ1ClLqDajpvFoBsmnaNpWodTHBhKcSD7/2ja5GCBi4BIis+qdBFJGWw4HGdhk4Y3lXNTTSaTPNeT4muP9dsJ+4BL5vevmcPQWJQ1nQmeOBhlV3+C57piPNcVQ5Xh9CYfF80OcXaLhtftJpVK2ZzL7XbbbqACL4bWfyIuW8jdjpQYP1HFlpDj+YWFSIqijJungbw9zFRcOMV3ibisEKMBeX8+GpTilVNHKTFewksO4XCYRCJhBwnFxDNZ4NIJkQCeakK2WPK92HFElZFY0CDf9rrwM0JJLKyvAfvPxSbOSDLD5q78ikLn9O1V4Y7XTedn6wYBy6ZI2IAKm3SRFBdKcDF5C4gxEbaBIskrAgciGGQYhq2kFjbY4u/OgMKGwzEezSomzmjycE6z21Y9OxXqx4pC4lCIpG7w122j3LlzDMO0rHPes7yKy+ZVZIM7Mjc9ZSlz/Jpk24c7kU6nx90P8ewpkrVIpjLWmIqEnShwgNwGR5AokUDsCaf5xXpLefOGJSHmVFhjK1RLHi1XyOAcU1mW7eCTsCAVx3SqroRdvjN4WEx94UyqigIAEQQMYCnM/rx1lFTG5KYn+vjcBbUcCwoDTU6C4SQpyWQSt9vN4Rh8+o49trW8ExUemW9cWm8pfRTFtr0UxRqKouQF6JykSpAip+r4xQCXyzXuepzK+UKcSKIpIJ7XwiDjRJhKQgmw5yzxO0ylUng8ngnnykKEQiFCoRBDQ0NEIlbgXAQkXgxW+iWUUMLxQfBKAY/HY/OeqSgHjzQPiYCJLFn/jcWsY3kU7GTbVfOCdmJ8e0+Cy2ZbQcyOkVQefxO8Tjh+fOjMSvYOJumO6Pzo6W5uuGgaX724lhse6iXikIJ8cHk5ppEhns5w81qLJ0oS3Lo1Z/G8sNaLpKh43dlWMIZBOGnx0xsf6aNQqHHe9CCr28PMqHBxbrMb0zDyCgkNw+CymR7u363ZyvJTpwVtlWYqlRpXUS+4kyRJ3Lu9j/0DKer8Cr3RDDc92Zd3fI8qoUjYAVaXAu85vZwqf/687iwqqPQqzCjXWHeIvOsR92iyEKWElRzuj+js7M8mTRUJn0tmOJ6hN6Lz/acHx9lZRicJfJ5U7eKBbEK3PqCiSbn3BjSJ6eUu2kesY/Vm+82LYHgyY/Vg/9yKahY3BosmxjvH0iR1k1+8vIE7doxy184wz3Xl3lfvV+3v7YukSesZqvwaIwnrvuzsibFiut/iuNliUCSJmy6tY/3hOH/YPEr7SIpfbxzm37vHePMpFVx6Ui5BKH4/zrX+TUvLeaotSueYzr92j/GqhTn79qnCeU+TusGPs8/05XMCLKn30D6S5g8b+lndnrMBXT7NT084RcdompaQxifOrsTI6Li9XnRdt60uxTMpFMXCcclZ5Op2u+22NeL64vF4XjL3+oUhfvjMoH2eP1o7xK9e0XTU1/qfgODizr2yaZrj1NUCJ7LQUkDspYRCy9kjfrLznkoQsxg/FvfwSJ+VZZmqqircbje9vb32MxCJRKioqHhRFNyWUEIJRw9FiA0yhp0Uh6mJdwpRLGZz7fwy7tkTziXGNZlENtMoEo51fpWDw2kkCcSUvHcgx1HLPTJvX1bLT5/p5Q+bR7hwbiUBDU5t0njD0iR/3jzCz58dYn61m6Yyzd6rL29w8ZkV1XzrqQEeaY2A2cGHz6qiJ6Lzo7W5da7Gr/L9NQM8esCKWYoCTYGO0bTtZCPww2cG7PaErzulhpcvqOCiWUH+uqmf27fnu7wUw2T/rkowrUzDlJiShfrGrhgXzPBy8bxKzmgOsrsvxu7+BHsHU3lFrhO119nYnWRjd/EYcypjcmj06N1IwOKfK2f6mFPp5u87RhlOGCxt8PK+ZeXcsy/GPbtHx30m5JaZXeliQ1eCap/MQMwa85aQxlcurOXd/+7iwHCanrhM0G3FeQ3DwJfloboBuuwm6JLY1m217OwKW+d/3ckh9vQn2Nmf5O87w0wvd/HRc6r54ZoB+/jxtMHm7jh+l8yZ0/ykMgar249eHe+EiWW3PxzPWAn6g1YboEqvQqVXocKrUOVVqcj+vdKXe92nycyocDGjwsXFs7LfZ5r0RTO0DqU4FDF5ZN8wXeHcvT0wZCXPLfRR7pGZVeHipDo/o3Gd+/eOYpq54tpXnlyGJhnUlnm4ep7K1fMCjOoqD+4e5Mm2KG0jadYdirHuUAy3IrF8mpfzZ/g5q0VGIhfbFo6qExXQ/C+i2F45kUgUbYcLTInzHS2csUqh8J4sJ5ROp6ecN3KK1UTsX+SHjtRq1+12U1VVha7r9PXl9rqRSIRQ6Oj3SC9FlBLjJbykYJom/f39uN1uu3d0LBY76gTXsdonCxVMsQCAx+MhEokU7cMmJlWhxBbEI5VK2Rt+sCbFeDxelAw/ezhOxiTPwkag1qfw21dOw+PxIPiWR7GO5fF4SCaTqKpqB21E9VE6nR5XOQVWkk1RlLxEa7FgSLHgQW8cnjkYZm1nnC3dWTtOCf7v9Ar7mEKBNRGK3R+hZncuKsKaqhDJZJIdfQl+/Mwgh7OqnxXTfXzwnDpqgh6b5P98Xb+9ufjUeTWkDPjU/V2smO7nNUvUomPjDO6JfjaGpNhqbEmS7OdTWLCL4JkoCsgYJl97pJNY2uDkGjevXhiyn6dwtvQ34FLtMRa93YU1uji+qqokk8lxFv+iKk8URQhM9DsRFpHO8RPq8dctgfv2hRmKGzx9yKoGPak+aFu8TxWFgSIR2C98zn/33DD/3DU2LgAvAcunefjiyjqbyDgDZaKAQ/R4cf4+xTEKE7GiQOPFgGLz0kTVmc5n6ERjqnabAmJuOtIc7qyWFXMZ5OaqiZ5Hl8tFY2MjimL1Qu3v77esi/1+uyK/hBJKeOkikUgwPDxsO/4cS4sJYbE80XoirNTd2cCfCBJ6sopxWZZpLNPswIoBtork0KhVxFWoGBAuPbUVQT57gcmn7j/MoweiLGsa5vzpXj51bhVfeqzffv/+4TTPdSe4Y/sY4WzCPGNiW3IqEty4shrVSNM1lODxjgT37hpGODRmTKufuFAiza1ysa3XmnOvP7kMVVFIZ52PnGu7Iku8Z1kln3mo1/q7YfEh4axTyJfFWiBJEnfvDrN/KD+QIAGnNri5dkEZS+qt3uzfWT3A6o4Yg3GD9/67m29fXsfMilyVvShQ3XQ4zM1rB20V77xqN6MJfUI1txMBl0wkZXA4+9np5VYxw1ULa3DJJo/tH+HbT/WhT5JTq/Er41Q+/bGc5fq0kJWIVbL2lD1Rg2+/bBpvuO2A/R5Vht9dW8/r/2EFKZ9uj9JxajULs0pksUfwa2BgBaR/sLqHQ4srePvpNVw2O8BvNo3xTIeVjL9lY07dnspA62CCSq9KK9Z9aRtJ24Wf5ZaAjHja4lvnzgxxeqOXRw5E+POWUXqjGb779AB37Rrj7aeW59mki8CQVfiQ4O2nVfDDZwb567ZRLplbTkO5137f0eKv20bpCutU+VQumRPgpif7bat/gHNb/Lz59Bpu29xPx2iaMrfMjStr8GUbiDqL+YQdYiqVsvduoqDa2ZZHKEzEnioWi6EoSp6646KZPn727KBtudod1omnMnhd/xstfIq1mynmUAQUdbY6EdB1HY/Hk9fO6kgQe+kjoXAPG4vFkGXZdh6D4tbs5eXl1NVZbcEURWF0dNR2uxAtnEoooYSXHoRaNa1n7HiXWDeOdm0rWtTukrl+YYjfZluajCQMav0KfQ5ekUhnqPYpDMRyr+0fSqEbJj6PFUu7dmEF9+4aom0kza/W9vDBs6oAeOuyerZ2J9jam+A7Tw/yk1dMJ5PKcbRzW/x84SIXX3u0i0cORDFNaB1KEk+beFSJhG7y1Ue6ieuWpfuV84K89ZRyNnTF+N7TgzbXGE4Y9vsh11e8zCVxeqOHu7b0sbk3yf7B5OTVikVQGCfVTWgbTeNWJEIuGD1CPb3Va30QGJz8jVM9H0eBwrHAq0qUeRR6IzprD8W5eFaAL11Yyycf7GFLd5xdQ2U8tG8s7zNOq/Znsm6jzSEPA9ln8ILZQZqrA1wxt4x/7x7l1s2DfGlltc1lgn4f5R6rJVDnUISWkMaebHFFOGlQ7VN591n1yBj8Y+sgf9k6QvtIKi8p7kQ0ZfDogfC41xvLNBrLNKaVuaj1STQENWpDXjZ1jLCqNZqnQPdrMk1lKmVumbhuMhTLMBTPkMxYqvtYWj9ij3avKuUS5tlkeaUjgR5J6nZS3KdBLBuidCsSdUGNztEUIwmD57oTPNftEM5hFapqsnWMXT0RZlZ68HuthG99UOO1i8t5zaIQneEMqzviPLrf4q1Ptcd4qj2GTxvgvBlBzm2Os7ylzBZ/OGP2U1Et/zejWJseKD7XOYWDJxrxeJxAIEA0Gp1SHDiZTBY970IUnq9wk1JV1Y7JOtuZCkiSRH19PcFg0P67EKq9WOLULwRKifESXlJwVl8WU2FPFccz0RYmm0SwxJmELgZJkuwgigisCLWvQDwet9Xa4xLjXdb3Fk6PcypVfnn9XBKJhBXgjWbVC5q1uU8mk7bCW1h8JBIJe4IXk7M4F0mS7D6axXptFmI0kWF1xxDPdcXZ1BWjPzZ+bDMmvOdf3ZzX4uU1i8uZk00YT7TAi/MTyVShrneOdyqVKnpesbTBHzYNce9ei4BV+VQ+dHYNZzS68XjcdmK9J5ziru3WxmJpg4/z51bxz629HBxOk0hHePWiEPH4+MCP85nzeyxVTFK3FFzCIUDcO2GXJXpFCTv+v24dYVd/Ep8m84lzq9FUS+GcTqeJpQQhk+yAnGmaaJqWd3wRsBKFFSLJK4Lz4r77/X7bSnSiSrVii65Qffn9fn5+3Uxee2srAJ96oIvbX9ti34tjtcIXiW2Px0Pv0BifeaiPQ0UIrUeR+Og5lZw3PWC/5rTCcf5+hP2qKGARwU3n70kUFwjL3BeLskPY0DpJW2HBhHjteHrdTAQREJ6qc4eAKG44VvW+81qEdbvb7aaiooLy8vK8+6uqKg0NDcd0nBJKKOHFicFBK/glLNOOZU2bzF4YcmpkoYhJ6ELtk02UZ/lZS7nGvkFrTusMZ1AkiOsmA7EMNf78LZ+u6wQCASKRCCdVqrxucYhbt45y89oB5lbU5dmEA/xwTX6Qb2mdh3eeWce+3jF+sm6YeVUutvcmeXB/mGc74+OK03567XTK1Qxv/kcnhgkZw2Q0kaEuoHL5gmpSyVyxquCOQoEZCuQSpP/cHebKhTUkE/FJx9rj8dASUukOp/MU1ybwXHeS57r78agS08o0lta7uXJeGfftHSOum3z0vh6+uLKGZU2WU08kmeFPG0a4N6uo8WkyXlVi78DU73UkZSWsz53u59qFlSxt9FuuPKqEJMn8cdPQpEnxG1ZU8o2nxttDOlVTjUGLo2uKREY36Y+k8SsZ/u/0cm7ZMAJYQduxtMxXLm7kS490AfCBf7bzzzfOQJMl0tloaNCtcsW8IL/PBtD/vm2Y7d0xvnxZMy+bo/NMRwRVxg5Mi2T87oEUlb7cs9YbzdiOR3LG4hPiM6IA4rI5Qc6f4edfu8PcsWOU1qEUX3ikj9MbPbzt1ApmVlhcWTgo+f1+rlro4cH9EXb1J7llXR+fXlFjuwVMBYK3tg6luHOnFRSu9sp86oEe+z3ntvh446lVzK508+fnBnj8YBRFgs+uqKE+mF8U52wHI7i3sMb2er22u4Hf788Lpon9lXj2xfeAxdPPmpazVAX47ppBvrjy2JyXXkgUOoAJCOv4wteej6S4KCg/2kKlqboWFYOzuF0kuF0uFy6Xi/r6entfJxAMBu1gZgkllPDShprleCndsAv2hSPf0aJYYRLAVfMC/HPXGEPZZPLpjV67jQjA9v4Ur14Y4q/bLL4jS5ZSuTehMDeQi0e9d3kln13Vy4P7I1w2J8C8ajfJRJzPXdjAe+5qZ/9gkp+v6eaD59TnHX95g8anz6vh26v7efSgpf71a1jZQSCuG0wv1/jUBU3MCFrXff6MADOrg3z8nnbiWf6Q0E1kyHPYGUuZfPBfh456rJyYaKSTGZPkMYR/FQmaylSW1Hko8yjsG0yx/nA8798naXs9aVJclUGWpDwluhNnNvt477Jy/C6Fbzw5wObuOF9+rI9PnFvNW06p4LfPDXPzmt684wddMgndwDBhNGkwmrS467bu3Hq4+XCE154c5BXz/dy7Z5T1nVEODIeYq1hrXyaTocIrM5LIENEVnutK5PX2rvAqvP+ug3SFLUeiySAKfguxoMbNzdfOtBW8wsnR5XIxPVDOtSeX05q1+3/8YJRIymBvdn+0pM7NG5aEOKvZi2lKjKRMxlISA9EUA1GdwWiaobjOYCzDSNKycY+nTeK6STys233sJ4IiQZlbJW3opLPuTP2RNO9bVk4yA48ejHNg2Bor5zOcNuCWDcP2dzSHNGZXuphV4WJOtYfpIZV5dUFmVXl5+7IatnWO8ER7jNXtMfqjOqv2jbFq3xgh9wDnzQhw8Zwy5pRbraMmUlX/L8HZisiJYmrqqRY4Hi1Eclo4SE4VExWFTgbBocXeRxxfFAi43W6amprGce2ampqjOrcSLJQS4yW8pOBMpB6PrcjxVnOLyiFd1+0NtOgZLhSrhUFSkbBzotiELxLnTvVRQjdYf2i89cz5M/x8/sIGEomEvaj0R62JdySR4febhqnyKlT5VKp8Ck0VfgJqyj62WKCEpbrTAl6cS2FyLZUx2T2YZktPko2Ho1Y1pwPFFO0CqzvirO6Is6zJy+uWVnFSRfHAiwg02d/peM9kgdSNXXFuXjdoK3KumFfG204JEfJafULFBkXTND53TzsmlsXS51dUkU6neWC/NcZXzA0gkbNTFf8V9h6VTes4Sd0KpAi1gICqWnak0WjUvq7d/Ul7s/K+5RVMq7AWxkgkYinNs5HVgMtKZouAnAhSCSV4Mpm0CylEQt5p3y7U9GLhV1U1r/+7E6qq2oFPAXGtmUwGv6xz9bwA9+yNEE2b/OLZQd67vOqofkfF7vPq9gg/fKbDDrI6Mb1c41uX1lPuH28RDrkWB+IcPB4Puq7bhR8iIC9ULOLZFs+AgGmax0U2p9p35vmC6DMvrIicKKZ8PBY15ESQZdlWgImA8LHAaX0pkuSTJZkmCjCI32kymSQUCr1oih5KKKGE5w/F3EWOFqLAZyJ+ki5IjIvAoEfNzVEul4vzZgTZl03UP3soQlPIRceIZf1cX+bOmxc1Tcvb2L92UYjN3Zat4Q0P99IfG78uCX52Sr2br15ci6oq3LHVWg/bR9N8+bGcfduCGg9nN/v47XNDuBWJ6QH40+YxW4XSlrWkfONpVpIbcslFSZLsdiaqqrKxw0oIKxIcHE5xx5Z+rjkpV+wmrl9wJlGg+anz63G5XHQPh3n33V3jejEmdJP9QylbVS5UMhkTvvxYPy+f5yPk1bhnT9juE+lSrALKWNrqqW6aOWXNkQKcHzq3gctmeeyAt8vjZfXBMW56vHscj3EqdgB+vn7E/nNzSOVQVgkzGM09cy1VfpLJJEG3QkLXCSetpHRjWf5e4fbtYT5+TiULqjV2DaQxgffe3UlzSLUt63sjOgvrfMAwsmS5E+weSPLufxxkebNl079iup9tvUkGYrp93X/ZNMAZjTnV83C2QDSZTFKeLXCIpQ2bU4m126PKvGZRiMvnBPjbjjHu3TPGxq4Ez3V1c9m8EG85tZKQZth7oWQiwXvPqORj93fzZHuMK+YmWFLvOaqCy4xh8u2n+u1x3jOYsuxGZwV51ckBTm4sR9d1njkU409brPH/yHn1LKkv3rPPGcQC6zcWjUbt/Z7X6yUajdpJV2fy2Mmtnef/9lMr8hLjzoB6MfynOaUsy3YR7kRc0TlnisLfEwXBKUWB77HCOYbHyvEzmYxdfOT3+8dx7BJKKKEEJ4RiPJNdlI5HiFMYCxRwqzKvXxzip89avEo3TBoCKt3Zlii6AbMqNJvviY9v6RylyWfYSskl9T4unOnnsYNRfr5+iO9dUU/A74dYjI+dXcVXHu/nX7vDLK3zcGZzfozovOk+tvYGuG+vxUFjaTCz0b8zm/189fJmVFmyCyVTeoZ0OsybT6viDxsH7UTp87HSFSbbJ3ptMpR7ZDIGhFMGGRM6RnU6xyKc1uDhzaeEkCVY12mt5ZNxxsngVaXsXmD8F8gSfHZlI0sbvHzloU6uXVDGl1bW8IO1wzx5MMy3nxrgvWdUcHqjJ9uTO4ezpvt4qKAwVlOkPI7aNmw9K/UBjQtnBXmkNcxfto5w3fwgXeE0ffEwI9nCixsf6hxX9LnPEfuVJagLWMrvoFvhcYcyfHq5xvuWV3LatDI+dV8HW3pyn9vVn+Sq3+3hHadXceVc6zXhAigwu9LF7MpK3nFaBZv6Mty/Z4SNnVG29ibZ2pvEp0mc1ezj3csqmVamYlSOLyYRMfl42mAoa8E+mP3/UDzDUCzD7oEkPZFcbDBjkvd3sPZtP3XweLD2DH6XxFjSRJagJaSS0C0HhGTGpG0kTdtImkfIxfAbghozKzRmVbiYV+PlVYsq+b9lVezqT/Fo6xir26OMJg3u3WPx6Gqfworpfi6fX0mTzzym2NZ/mleKIlPRksiJYmLAE93uUdM0u/D9eL5XtK0Ue9wjcdRi90rskxOJBLW1taVY5QlEKTFewksKgUDghEzuoj/zsSonncpqyE24ggCK5LawH5QkyU6OTgUieSsm4I290XHVdq84OcRHzmu0j9k3HOYXG0boj2UIeRRGExn+vmNs3HfLEpR7FKp81n91QQ8hl2n93ZFErw4FiMWs3nzdMZkNh6Ns7IywrSc+rrJxRrnG4no/O/riHBiyFolpQYXOrB3NNy6t55tP9tm25RsOx9lwuJOTa728dkkFyxrduLJ2U6lUatxG4kh2KuFkhl9tHLb7GdUFVD51QSPzKyT785BL9t63d9TuM/S2UyvwuWT2DSbZO5BEkyUumW0FbJ2BlEJ7blmWbSt13chaZ2Wt6UWy2pkUB9Alle8+fRjDhAtm+LhwZsAObovvF/e50pfrkT2RGkME5YysfakI3Kmqai/azvdOlBgvtJIRahfIBfveu7yKxw5GiaZN7tkb4fqFZTS6jr5qDuD/PdbL+sOJcVsBRYLrTg7wtlOrbPcFSZKK/uZFQltYpAoVOViESmwmhTXuZAmPiaqyjwSXy4VpmrZd/gsJYc82EcETfeILcTxzp+iRJloDOHtvHi9EwFEUMUwWHJ+osjSZTBIMBqmrqzvme1pCCSW8tFBWVsbIyMhxf89kc+tEinG7ZzMWPzmrJcDvNlqJ8Z5IhtOb3HSMpOiN5XqtqaqKy+XKc6cBKwm7cqaf3QPJvKR4wGX1rQunDEys5PgHzqlnU3+Gf23vYkM2qBZLmwRdMpfOC3HRDA/zagPs7rWCa2nD5CfPjvDUAYtTqrIVfC1zy1w2pww9leNKhVX1uq6zo8+ay89q9vN0R5Q/bx7mknkV1ARcdpI5FovlzetivQHY2pMclxT3qnDujCD7BpJ0jaVIG+P7TP577/j1MZWxChJSGdPuySkwUYCz0iszFDe4eU03la5aGstUHtvex/17RmzVlhNBl2zb1Qu1jFMZ/oYl5fx58wiHwzrhZO71Krd1AmVuif6olfiPxWLcudMKNIpA96MHwrzz1CDfuaKRV/ylnYwJ3RGdKo/1fIn7c3A4RUNQpTus8/bTK3hgb5jWoRQP77fuY1OZwmMHrft0RpOH9YcTDMZ0VrXm+ExCN+2e8H6sazVMq4WQruvj+FnIo/Chcxu4el6AP24e4an2GA/uHeXR1jEuzj6fSxv9vOu0ELMrXbxsboB790b4xfohfnxVA74pFlzu7I3znad67HZJEnDBDD+vXRxido3fti7c3RPhG49aKvJXLqrkounuCYNuQkknWsKIJLh4FgVPFs/2RL95Z5uAmoBq3wMxdv/aPco184v3DPR4PJim+bwoZY4EUYgrxqYwYFds3I63t7imaXZgVOxjTgSfTiQStsOYKJIVrm2FKNzfCYjrra+vp7Ky8rjPqYQSSnhxQxUCkxPwXcJ1p9hademcAH/ZOsJIwuDZzjhvO62CHz2TcwX6wTODLMuu6WJm2zuY4lVery3EUBSFD5zbyLrO/ewbTPF4R4qLpltz/hnTfLxifpC7d4f54TOD/KTSRbXDtahtJMVD+3PJVxNsa/RpQYWdh0doGzNoHUqxt7+HA0Mp281mqvCqEn6XTIVHpi7oxqeZPNUWswtLQx6Z0UT+SM8od/HpC5toCiqsaY/wyL5RNnWPd0AS0LJcqfCfRxzfqykS6YyJYcKGroTNmQu/J21A0CURTk3tOuMTKK0lLJ5w5/ZBfrFWZyieoS86xBlNTXzx4iZ+8GQn9+2N8PP1w5zZNL5Ya0GN106MuxVIZiwe59MkdMMklbEckP60dYyusTQHs8pn0fe6EIVJ8TOb/Sypc9EY1JhZ7SekZtAUyY5VrmkLkzKs/U77SJrPrurl0jlxDg4X6S+tm/xs3QC/3jDAG5ZW8ZZltUV5lUuRuHB2GWc2qPRFy3mkNcK9e62C1yfbonz4zMoJFcaZTAZVVfGi06TJNJXlJ2bv3DnG421WrPYdy2q4co6HkYLk+d93jBXl+hkTxpLZIg8T2kaKcxcJy1LfMKE7nKY7nGZNRwwYAcCvScyu8jC7QuVdp1eQzJjs6kvwTGecgViGu3aNcdeuMRqDKufP8HP+dB8t5a6ixyoG4Rj7QvNKwZ0nilUK/neiz8vr9dqx8UzGamtxIvq0C24vnIUmS+AXc8OUZdkW0bW0tBAIBIp+toRjQykxXsJLCrIsEwgEGBsbn/CdCpwb+GLJlaOBsGQWam0xMSaTSVv5YhiGbc85VTgT6zt7YxwajvPNJ3rz3yPBdYsqLZWGx8NznRG++Xg3A7EMsgRnNHqYXuGmL5JmJAV94aTdiyVjYlXIxTPsGwQovhi5FAlVhqRujiOUIbfC4joXZ0zzclqDj55ImpueHGAonsGrSnzs3Br+smUYskG0JXVufnp1I999eoAtPRahlCTY2RfnSw/HmVam8upFFZw/3UvA57EttkVSdLKigtXtUX6xfoiRhNXP6BULynjHGbW4lZz6SxQpqKpKNJnm52utHjiNQZVrTy7D6/Vy77OWJeWKmQEaq8qIx+MTBr3EfbfVXyndtisXAV6hXHZ+5jtPdNMT0akNqHz8/CbcmpQXgFJV1SagFVkrS5HkLpbcFfbrzoVZFBaIzzifcaEKd6rHi9nCOINhztYB37m8gfffY43Tx+7v4W9vnDPhfXEeD2Bf7xifebCLkcT4jUC5R+Frl9RycmO5rRIRqqJ0Oj2h2kOSJFtNL1Tzglw5f3OiR7vo9VKIYyVLYmyFjbiwvX++4exz6YSu63m95YsRTTFnHK16Rozf89GbXLQDEIlw0ZagWEGIc651npt4bXR0lNHRUQKBADU1Nfj9/hN+viWUUMKLB4FA4LiTO4DdT7LY3JzKBsBcqkiMj1eMAzQF5HzVsmmtV+0juV7GwmFDrD+HRtOs2h/hkQMRu/hQ4PqTg7zltGoebYvzw9VWctAE3vfP9nHBrvecWc2Fc8qRMzoej4tkxmQskUuErm0PE9NhWpnKUDyDbpjUB1R6hsNUeOS8IICmafafTdNkZ781t18z389ALM2egRQ/fbqLL1w8zZ73C7mIaOcynJa5eZ2ljFo+zc+znRYfjOvQPpTkR1fWE/B56Y3orNo3yrMdYfYOJCdV8Yjx92nSuIS7R4GLZwfYO5hi32AKGRiKW4OlG/ClR/vscZwISUfG/Y+vncVn7uuwFfYAv1w/xIwKjcNh3e7hDlDvt5LCDQGN1qE0GRNaRzJs6YmjyvDeM2u5+Rnr+F99cpAfXNnEn14zhzfcvh+AwSy/8qpWcPax1jHOmR7kH9uH2dOX4Mcvb+HmNT227erDrdZYzii3rFFfc/shTMYXGOztHaMl5MorthyJJij3KHYRmtttORqIZHlDUOMzK2q4dkGS3z03zPa+JA9kA+ltIyNUeiRevaicNy8t56n2GB2jaf69O8wbl028Zmuaxp7BNH/YOMDGw7l9wck1bj5ydhVNZZqdAFUUheGYztee6CeZMTm1wcP7zqolmYjbBcWFXMIwLDWdrut5/yb2IILTplIp/H6//YwWg1P19MqTy/jpupyN/q1bJ06Mi6S4cEF6oYoui/Et4YQh+qkXu1bB0cU+a6pQVRVN04jH4yckYFmIQp4rimTFOTshio4EJEnKe62np4e+vj7Ky8upra09Ksv/Ekoo4aUDxVaMH/t3OPnoRPO/Kku8YUk5P3t2iNGkwfwqF3UBld6syjWWNil35xeZ7RlI2nxLJHUqfSpvOa2KX6wb4NfP9rOsvoGy7OfedmoF2/uStA6l+O7TA3z9kjoUWWIopvPZVb02dxHFf4JX3blzjH/sPLY4rcCrTg7ynrPq82JYf90eIa5ba/FJVS5++spZPLCjnx+tHbTPpW0kxfvvOsjFs3y856x6VjS7GYnrfOfpgTy1skDagCqvzMwKFxu7xgs2IOf4NBnSBtkC1PHvFYWKR4IqwYfPrqIu6ObzD3WxO8ubm0MaX7ighqDfSzKZ4BMXTKM6MMAfnxtg3eH8WE7AJbEtG2fVZPKs4xO6aXM7E7h96/C4c/BqEifXeGgKuegaS7PhcIzzZ/hZ0x5FN2FmucZXL2209yCSJJHJWLFa0zTxer24VJlUymDFdB+qLLFqf4SH9ueeB1Hg6desAtW0YRWs/v65Qf60aZBrTy7n7aeGbIGPiK0JfjGWyLCjL2kXL0hAXyxDwG9d3ERimmK4e9cYv822G3rr6dW8fmkFyWSS+qCc127nrBnlvOfOg/Zzpinwx1dPZ/XBCD9dN4hbkXjDkhDxjGXnLmLuw/EMo0kjz7mhGKJpk609cbbmOgEhA0G3TH3Aci8YimfoCuvctm2U27aNMqNc44IZflbM8FEfmDzPIGKCk8VCnw8UtiAF8kSEUNw9dyKOPpXjFbrOniiIOL8zJ3Gk83RyYlHQLubg9vZ23G43lZWVVFZWlpTjJwAlZl7CSw7HkswWfcqExXRhb+JjhQgAif4ogG0DKSblqfZeE0EQ5+T6nce78oJpAjET3va3g+Nel4Bqr0IklUFVFd54ejkBOWMHazOGScxQ6B1LMJww6QunGIzrDMRNDg4l6I9miGZVRamMVVVYDKPJDKs74qw5FMerDtv9HwMumUtm+1lQ7WIo22s8mzumwqvw/y6q5W/bR/nrtlEM01IbpTIGnWM6P1jTz582W4nq6xbX5AU0hOWIk9gMxXR+sX6YNdnqxpaQxofPqmLZzCoikQiGpOQFRoRi+ptP9pPKmEjAjRfWWgta2uTRVkuRc/lsK7Fomqbdh0TX9bwgiaJYPcF97myP8YyRZwMqgmdOxfdDuwd4cN8YsgSfW9mIT8s5DoigkmEY6IZQjFskRwTG7B6PsmwvqkItLoJX4v3iHIsFm5zPoyzLKIpyxMBbKpXC4/Ewv9HHuc3DPH0oznDC4I8b+njjqVVFPy8qBP+0ZYi/bw8XDVKf0eTjixdUEQwG7QCjqqrjqj5Fz/nC35EoQhH32KkwTqfTNjkWymqRIC8kMJMlNI4EQdrFfOK0s3++UIxoimOKOW4iiPdM1a5UPJsnOiEuZfslCVW/IJxiHEVwuPB+CVcE8SwIu95CRCIRotEoLS0tpf6PJZRQwoRIp9NHnRQX85eYb8VGfKJ1pNBKPZHlTF6twNnCNJhV5WZftvf1cFah0D6csp06wAp2Pdwa4aH9ETvpDBYHi6RyAY/H2uK8cqHO3r58W8ViQbpb1g1wy7qBCa95NJt07w7nbLf3DqZ4211dWe4p4dJUFMkKDsuS5VBkIjGSyCABt24dQ1zxE20xhu49RIVbQpGtz5qZDLIMiiShyBanXd0RJ5Y2qPYpKNkPi+KBfUMpbniol4tm+ZElCdOErrH0lK0tC5PiF8708aoFQco8Kms74+wbHCLolvFpEt2R7NqUfa9QCEF+4NOZbF8x3Usmmczj8WUeheFEhuHu/PVXkyWmVQfBNJlV5WZ1h7Wu3bbVSqhePLuMV5xczt07hjg0prO7P8n2niiLGwJcOz/IP3fn7CsjKcvWcVd/kqtOsta/DV0JTCPDtQvK7MR4T/aaWspdeDWZWZUuWodSXDgrwGMHcs/MjY/08cnzqlk+w2fbf8bTBuUexU6ICz5R+Bs4qdrNTZfWsblP58dreu1WR797bpiOkTSfXtnA204t58drh7h16wiXzKsgWCS6sa03wd929LOpK3+9P7nGxbcuq7ODSqIoVDfhSw8fpi+qMy2k8fkLG2zLf8jvKe6EaZoT7jOd84QonhUttAo/4xyDy2f7+eX6Ift5iaRM2odTTK8Yz9UEdyzcAz2fSp/J9gHivvr9fhKJRNG9sygQnyoErzvRPFm4aaTTabulkpMfin1BsaS5M5heTOFkGAZDQ0NEo1FmzpxZSo6XUEIJ46BlSYp+lOpoyM1fsVgMv99vO7IVa88IcPmcAL/aYK0rf9oyymsXlfHjtbkCrIcPRPFrkh2j6xxNk0JBk0zb8S4ej/Oy2T4e2KPRNpLmj5tH+OCZVdlrkfj0edV89L5utvcluX37KHOq3HzryX7bBem8Fh+HRlO0jzqKGicbHxlmVbo4uc5HnU/mNxut83/d4hB37hhF0Nd/7AyztDHAGU1eMpkMHSMpbtuSU8R/dEUDiXiclbMCLJ/m4xMPdtvtaQAeORBjdfsB3nhKFZu7ouOS4g1Bje6wtUYPxg0G4wlmlKvoGdN2uyyGySzZJ7ruqSTFAco8Mjv7kjzVkcj7TJlbprm6DEnKiQMumeGmY8jH423561QkZfJY1so8XXDcwkfyrGY/pzR4qPPJxNIG33l6kHTG5JPnNxBUMzzSlmTD4Rh90QxC3P6BcyxHvkQigaJYcdZoNIphGPaa61ElIikrEf+586u5akEFH7/3kH1NIjHuUiRuf20L9+2P8pv1lr1+xoR/7Bjhrp0jXDIrwAeWl9vHae0L8+ctlgsRWLz7ynlBXrsoRMiTa6OYSqXGJX4Li98A/r17jF9ttJLir1sc4tUL/EXjYtv7Enzt8X7SRs4VIZ2BN9/ebqvPr11QxqsWhuw4sPP3ms6YpBUPhwbG7GT5WFqibyxp/T1p0BdO2y5T9v1C9Igfd0qA1c6qbfMIf9g8Qsgt8+3L68ep4QUKnVPh+eeVopVlMYjzKGzjWfieqSbHhSL++ejBLopD4/G43VrJeV2xWAy3223H8QUKnStN0xzHeZPJJN3d3SSTSRoaGkrJ8eNEiZWX8JJCf3//lCY9oeAU6lOnIkUkyEQC+3hUQiJhKXqxCZWzc0Gc6sa/mB3z7EoX3WF9nI36RDCxqub6YhnWdia4ZV2//W8SFonwqjJVfpXZlW7qgwo7+1Ps6kvkBRIlrL4wM8o1avwqbkUirMv0hhMMxjIMxjKMJDIYJjbhBsua55+7wlwxJ0g8y8iciihFlnj9knIW1nr43ppBBmM6LkXivBYPO/utPoe/3jDEbVtHuGpekGvmBwl5lLwEmWmaPHwgyq83DhNNGSgSvGZxOa9ZWIbHlVMcZTIZMpmM/TlVVVnfPmz397tsboC5dWUMj0X4ybMjJDMmTWUap7eU24lYZ2LbCWEhLZtZq1BTsp8zsbExTZPNvWmWN/vpGAjzk6xa5PVLq1ja6LeJm9vtzgvgCOJa7mbcZkgoM/x+v308oeQAK0ko1MLOZ1OgWKCnGAl0/iZEEYD4/OcuqOWVf+0glTH585YRrj+lhnHGl5rG/93RysEiRR0uReIDyyu4eHYwd81Z23lnH/BCFEuSCpsc59+dKh4xtmLOEA4OxZLCx5IYVxRlHPkWbRCKKfGPB87CiyORRDG3TYYjWY07+/GciCIiyCfAsVgsj1iK4gTIr7AU98sZeHaO+WTOH6Zp0tHRUUqOl1BCCUVhmiaHDh2a0nvFHCySgE53EmEfPhEKrdTj2QiRWx0/Ty+qcdmJ8Y5Ra03qGLECpPsGUzx8MMZjB8LEs9xLlmB5k5dzW3z8coPFM169sIy1nXEOjab5+uN97BrIrXciKHWsKEZHTaA/bkJ84jXUBNsxSGBbz9SDMgOxDAMd0XHnsLM/mVcccDx47GCMxw7mr68TBaacQUdnENOZbK8PevjkqpzjU4UbbrmmkVUHoty6ZYSY40uqfAqJ7DO1qN4PWAG7ZzpiSMAbTqtFlmV+cs10rv1zKwBffKSPe99ewYdWNHHPnt128NIEZlVYSe6+iI5Ps4oTDowaHMw+C7MrNNpH0+iG5bw0r8bLwloPrUMppIJ90UAsw2dX9bJiehiXIhLjxdUexXiUJEmcM6OMk6sU3nhHJ4nsDXzkQIStPQf40FlVnFTtYs9Ail+s7eHGS1uIx+OYpsmWngS3bRtle9aOX5WtZPuOviRuReIT59bk8R3BWX787Ag7+xIEXDI3XlhHyKuN433xeHwcHywMbglXJl3X7SI+5/5AfLZYElbwSlmWOaPJy5pD1ljNq3LhdxXnaMX6LRbjvycCQrUjChQnglDhi/mvGAqLFif6HuGqdaIg2leJednJu4sVP4gAfmGRsPNzk3H3ZDLJwYMHS8nxEkooYRyEYlw3zCntxT0ej+0CJ9pJAHYhpOCdxeZMRZZYUm/1mF7XGeNdyyooc0mMZVXLJhbHFHE6E9h+eIxzZleN+56PrGjkY/9u58F9ES6fE2BulSW2aCrTeP+ZlXzv6UFu3Tqa97l3nl7OdQtCvOvuwxOPhwQ1foWFNW5WzKnkzGY/Hs1SXf4kq/ReWOvmXWc1cO70ADc+0s1w1qHny4908+tXzaQ+oHHzum6b911zcgXNDgdin0vm5y9v4lMPdLFrILd2JjPw22xrIlnKJYYX1bjQNIUr5/pZtT/CoTFrzCeywXbCAEJumVMavHRHMuwdmHjdnGpf84AmoZuWM9EDDnv6xqDKQMxSR3/63ja+dlkTWw5HuOnJvrx+4RNBcH1Nhvk1brb1JgloEMkOUWNI43Wn1dsxuPv2RdjRl+Qf24d4/zkNVPutsz+YbZFZ5pZZUu+1uUImkxmXKEyn03bcN56x9k0VnqTNkZ2OWOGkwWgiw8tPKuPKOX4ePRDmlvWW2MowYVVrhIdaI5ze6KHSI/HIQcsSX8JqG/WWUyuoC2h5BW0TIR6P58VU790T5pYNFsd+zaIy3rikuIPP6vYo31tjFQzMr3bzjZc188MnD/NkexzdhPbRNG5V4hULrBiTEJ6IMQWrwCTkU/BVu+3v9fv9dgxWiF00l5uekShD8QwDUZ22UZ32kTSHR1MMxjNEUsa44gaB0aRBjW/iNkTFch1C1Heik+OCVx4pBup0uJxIwX4kriiK1CeKZx8LFEWx21WmUqmi+4bCcRPxeCdPd879R4oxDw1Ze/dScvz4UGLkJbykMNWqoYmSR2JhEInNY7EULnZO4nvEd4pJ7WgWnGLBBk2RxyXFv3RBJZ0Rk99kq9xkCcrcCkndsHomTrBomliBvHTKYCyVGtfrpT6gcmqDhzNayji5UiZQYMHkHKvDY2m+/kQ/HaNpJODiWX5mVboYS0v0jiWp8il2gK7cMz4Bt6Tew4+urOf7awZ5rivO6o44K2f4WFDn49+7x+gcTXH79lHu2jXGpbMDXHdykFk+GIib3LxukA1ZK805lS4+cnYVc6q9eUTEqfSOxWK2NeJNT1pqqIBL5pPnN/LAzgF+v3mY/mgGGRiJ6wyOxairLCMSyfbnyaqXRcWiSIb6fD6CPuueJXXDXthVVWUkrvPRfx2kY1THo8D8Wh/RlMHcShevPtmyiXQqu8XfdQcxKHflkpeiP0rh81q40Ir3i4T7sSQ0xfk4jy3GUuDLF9Zww8N9liXrnQf50+vmkEgkWNcR4TtPDxbtm9QUVPnOZbWUeXPVjE7luwgeOnulCzW8OHZh9aDoh+iE87cvNpWiunWiIpijJSFio6rretGkrLgnPp/vhCWWJ9oYF0KMjyB2ExGxya5ZfMeJtrc80lhMlByXJMm2fUskEnnPzZEcRERyfPr06aVePiWUUEIejpQQEhBcbrL5Rtf1CTf3qXE9xoXl9Xh+dFK1G7AUHyKYNJbM8MF7e2gfyR2/IaBy2ZwAF8/yU+lT+dZT/YRTJjPKNd6wpJwVM/x8/L5udmSTxqfWe9jUk0CWoNKr0B/LzbELatzsGUjaQRevJnFeiw9Nhvv25WzjLpzp47GDMdyqxDktAR47EKbMJTPmUDrMq3Lx+qUVeN0uYvEEd+8Os6UnwdnNXs5p8WEYEEtn+NOWUWJpk+VNXhbXeciYJrKiYpiQTKXpCqd5IquGOb3RQ31A5eCIzs6+BPUBhZaQi/WH40WT/MLaczK4FcsOMZo6vkKByfCP7cN5gdGXLyinIujllSerrJju5a3/yAWUeyI6v9gwytuW1VDhym8fdFazl6agVSSqAhfP9PPIwSgJ3eTLq9p597IqCmmXV7FeWN0e5fRGL0+1x3iqdZikYT1zsyvdtA6n7X6Wv14/wOwKa/1tG8l/zkMemXDSsJU6AKOJqfMawUe9LpULZwW4f1+Yco/MSMKgP5bhxkf7OKnaKsB8oi3GuoNDKJqbP2zos4seVBn7ef/iI5ad/FtOKacuoOYdJ5lMcteuMR7KOjR9dkUNjQElL4Dm/K2m0+m8QsbCYjthES76rAtedCTXHU3T8njMu06v5MJZSc5uHm8VL8uy3Q97otZRgtcVUz4dKybisIVwcvHJeOVkheaiUPVE40iJ9omCv4IDizZIAlOJC5SS4yWUUEIxaEpub22YOdfEYphKjFC0vJsIF870s7HLErfcuXOMl80Lcvv2nG21aAMjsHcwxSkNMbtQXcR85oYyrJzh5/G2KD97dojvXVGPLEkYplUEl9fiB3jz0hDXLbCSib+8ppF9oxI3P93FgeH8tSFjWs40PZEYjxyM4VKsor1ZVV5WZZPA7zi9CtM0WdhYxs9e4eaz93fSPprCMOG9d7XhUyVGso5FAZfM6xb6i47dty6r553/7MrjtgKC284oV9neb833m7qyxa3yeHX1RJCwkpBPtE3c4tE+5tS+kkjaZH61xqHRDNG0YSe0u8K5uNv23gTvvauddy2vGZcUVyXG8T/I8dqPn9/AedMDvO+ug3SO5b5z/aGIHesEeO3iCm58pId7d49y/YIAFV7r2RBc+pxmb16LGAHR+iWRSJBOpwm4VUBnNJYmlUrx5Ue67ffe8vIGPvpAD5GUiW7Ce//dxTvPqOGi6W4umhXkollB1nZE+fHaIcayDqbOnu6n1bt4++lVzKxw2TE2EX91umqNG4us+EaWZf69c4ifr7cSka86uYw3Ly0vGhO7e9cYv944jInFwT91Xg0eKcPnL2rC82QXq1qzxZG6STwjE8qK7USyW/CIQi4IVozLyTNUVcWlqdSVeajy6cytcnM2+S2mTNMkLrnZemiYXf1J9g2m6RhNMafSaqPgKthPCoGLLMt597nw3glX3RPBzyZycZzofeIeHouYSLTsOtGJ/UzGcto9Wl4p7r0QqTk/PxXx1dDQEJIkUV9fX0qOHyNKbLyElwymGsAUi1+xBIzovSw270dSTU4V6XQav99PNBq1gxpH28O8MMDyzOEUD+wLj1P3/HV7hL2D1vcub/LymYum4TZTeL1eOxEokpmbu+Os7YiyfyhFf0wnkjJJZXI9ZlpCGq9cXMmiKiWvl8pEvfcA1nTE+MEzA8TTJpVehRsvmcacUM6W2zCMPOI0vby4rXO5R+HLF9Zw1+4of3hukMfbYuwfTnPxrCANfok7d0fYO5Dk3r1h7t8XZk7VIG3DSVIZK7j8xiUhrl1QhiJL9gLkDFRpmmbf60wmw8/X9tn9N1+7qIwP/avd7t/jUqw+N9G0yU/XDfLpFbJd8ea0dhbPi1gITd26D0ndsC29M5kMz7RH6chaOs2vdrG5O4ZHlfjipc2ocm7hF+MsquYGYzkaXeu3bGFUVbWPJ+z+hO2huN/iOStUzRwtfD4f8XicZDJpE6VihGVJvZdFtW629yXpCuu85+/7aR3WxwWXZQleflKAdy2rohDO83Ymv53j4oSiKPbzJapCj0SGRNsEUbUtLPmdz6ezF3kxiD6ITkWKsDcT9vUToTCRL0lWHybx/6OZH6aSpBbHEnOAIMSQ6y80FRxLu4qpIJPJHDHoKILUzmcukUiMa2WQyWSK2l0Wg2matLe3l5LjJZRQQh6mOidOlvBxJsNFUVrh+js+MT7eUUfgpOri60r7SApNkTi32cdlcwIsqnMjZ9f8NR0xnmqPIUvw0bOr0BSJWRUuVswM2raKr1xYRsKAXX0JBgoChzeurMGUVR49GOXencN0R3Qeas0P/AVdEn1R67yvnBtk5Uy/pVzXTc5s9rEu29Zm72CKHz7dz40X1rJ8mo9fZlUZVy8oZ2ltjg/6XQrfXzPIlp4E7z2jktqAitdr2WaOJDK85852wEomv+f0ED6fj9+u62JnX4IZ5S6rZ1/BGDUGVXoiR3ZZkoDPrWzglHoPr7z1IKZpJfQFtxbvOZ6E+ZUnhVjdFs7r+/6PHaMkDZmXzfZS7VfHHeOe3SM8sn+UaxeU5X3X60+ptjmoYRi87+xaHms7iGHCU+1x/Jo1xvV+iZ6o9Y3b+9MoEhwYTnP+dD9PtcdYfziOmrV6zQrbmF/t4mULKvnJ0720ZoPaB4fTtmU6WMH9H17ZwK82DLGt13q2v/30AO9eVsHKGf4JgzjORK7L5cLtdnPx3HLu32e117l0tt9+zvYM5Mb+S4/1kc4+opoMVy+o4BXzfFT5FL72RD+xtMlJ1S6uPik47njrO2P87rkRAN61rIJTGjw2ZyjkUYJryLJsq6GLcQpRIJtKpdA0zQ6AOa1vnd8tuKbL5bLngpqASk02iS+KKwFbKSgKcCeDOD8njxJ8UnC9oylonMo+VXB1EQQU+xJd1/P2J5Nhqq17jgVTiQsUC2LG43H7/jhjAVMNziaTSdra2pgxY0YpOV5CCSUAOcU4WEnhyWb0yZIfzjlpsjl6cZ3H/vN9+8L88Ir6vMQ45HOZ1pHMuEJ7ETN4x2nlrDscY99gilX7IyyocXPzuiF2FTjyVHgVXr3Q4ihi/ZxfqfPRs6v58H3dee91Z+Nr4vipDOweSLHbsd5/9bEe5lUNM7fKxbxqN9+8spkbHjjEweFUtq1jjiXNrnSRMYrP6bIs88Mr63nLPw5PKBIqVIVLTD0pDhNzwiV1boZiaTrDx9a7eXdW6T6jwsUXLqhhOGGw9lCMdZ1xOketseqJ6Hz10W5aylQMoHNMRyZXsOBW8nuKAwRdMiumufC5VT51Xg2feKDbLrjtjeTHZM6dVc7sTcO0DiW5Z1+El83N56Er51aSyWTGxQSFC6t43aflFOMx3aR1yLq22ZUa9WUuZle42JLlkeGkwQ9X93LvLhcfWF7JnCo3pzX5uH5Rhr9uGSZecD3P9aRIrh/myxc3QpYLCVFNKpWaVH2cTqdZtT/CzVkHz1ctLOdtp5SN+x0apiU+uzvbnujq+WW867RyFFmyhTxnNfvtxDjA/93ZwY+vbGBWlRtVVZEkyXawFHFIJ5x8SAiCxPiJ2GJhix6/34+WSnFWs5+zHAWWYm/gcrnsOGkqlbK55WR25eJcCvMhglOKfMpUBT6pVCovvlsMmqbZ/y7OXfSnd7amFOcx0f081haYU8FU8kOFc5DIf4hCUnE/J2p/WQyDg5bDRSk5fmwoMfESXjIYGRmZ0gQokt9OyxTnnyfreXGsEAEXZ9L9WGyU/X4/6XSa3pjB91d3ALCgxsXO/twCs3cwhVuReNeyCi6fE8ClmqTT+cFZRVEwTZOzZ1WyfHrITqSmUikyJrzhb4eIpg0+saKO2eXjabuwnxMqTdM0SabS/GnLGLdvswJwi+o8fPrcKurLXXlBEoCww05z+fTiFsZCEfyqBRInVal8d/UgmYzJHzYNoclw5jQv151XyT17Y+zoS7A3a/8YcMm8d3kVF0z3jls0nAuZMynYNRLnzu3WeYfcMr/JBs08qsSrF4VoHdZZ0x5BAp5sj3Hm9BQXtGAXGwilqjMQZZqmHeROGzlbfdM0eXS/dazzmr2szVq3v+v0Cio13d6QiHskLBpN02QgmntmqkIW6RHVfCIhLIoeBJxj4OzbfLRBKGcCVzzD4jkQ4ylU65Ik8fWLa3jlbZ1kTNg/nP+sB10SX7mohnnVE9saOc9bOC1Azu68EIKYFVMUOyHGRrxPqFQEOQ0EAvZ99Hg843oRiV4ygpAKwloMmqblBTLFuAlrSmFzL56Xwr5DgnROZa5Ip9MT9hkTEN8jnAtEEFP8NqdakSmu/0RZqDsxFbKp6zqSJOHz+WxiL55n5ybuaFRTIjne3NxMWVnZkT9QQgklvOgxMDBxT20nRKscZxJGbNida60kSUXn2HGJcbvHeD6HGYrpPHYgkmf7KLBiuo8PLK8c5+Yzlszws2etzfT1C8uYk7XAHE1k2HA4l9z+1cYRrprrZ1dfApN8lcnOQYMzG02unefj+pPLeK4zwqr9ER53qGKiaZMdfQkUCa5fUkl9mYfm0ACHRtPs6stPTo0mDT75QA+vmB+kJ6IjSzC/2oOiSLY69upFPh5qjbKtN8EvNw7x9SumW2uWqvLtJ7oZTmRoCWm8+4wqXKpMLB6nY8xak9Z2FufwQmFTbPwALpvtZ1VrFBPLpnNGSLPft3cwhSzBskYvl88NsKzRC6bBu//dQ2/k6Pi8BFw5P8R9e3LWo0GXTDhlcPvWIf6+Dc6fGUSSQMTLppdruBSJfYMp/rot9zm/JnFynS+v5Y5HNnjZ3AD37rVUIA/ut+7T606t5a5tQ7RnLfiFyiuqW2PSNmIpxAGGshHHM1qCXL2gghlBiZue7Kc7YhU5OuL7hJMm82p8fOMSjff/u4tDYzrhpMH3nh7knj1h3r2sclxBhyRJeWpeweHmV6lUeBWG4xkunFOBIkl59qEA6Yw1hlfNL+e1CwPUBN3ous5T7VHWdcZRZfjwWVV5SQhN09jdPcq3nx7ABK6eX851CyvtotVi+0fB73w+nx3wLHo/s3xV8FTn50WRnthXOrm0KOh0uVx2caUorCwWOBTtn5wo5JWC2xXySuced6rKnyNxvMIApuC74loLE8ITBTDFXvJEW8GLY05FeSnaXYjAZTqdtq9NFD7A0e3dE4kEbW1ttLS02C2nSiihhJcwHHNg5giS8cIip4mSQJPt3at8Kg1Ble6wTsaAu/eECbllRpOGvf47qdCOnui4fbiYByt9Km9cUs6vNw7zyw1DZAzr815Voi6g0pZtjzccz3B/a4Lrl1Tlta+oCWVV6BI0h6ye5cmMJaJ531m17O+Psv5wnIPD6bxzGkkYPHs4zrOHxRzeR51fsfs5O7GlJ8H//fMwV80L8sqFGRorgySTSTse849dfRMmxYtBvNWtSqR0c8LE95EKJbf2Hl3MrdIrj1PzA7QNp/jcQz1cMKuMuZUaLz+pjFhK5769Ye7fFyFjQodD9S1lua4E/OCqZj55Xycxx5hdONOKJRqGwZwqN+9aXsvP11qOO6mMyUgkRpnPioXF43FeeXKQ76xO8q9dYRr8+XuNk+u8qKpir+MiKS3iayKeGfJYvCCRNvj6Y7lWQl9aWQtAyJP73nctq+DPW0bYN5jiY/f3sKjOTddYmsHs2LSENC6d7ePfeyL0RS2+sqMvwav/eoBZFRrfuKKZgJLB5XLl+otLCu2DMfoTEm1DMTqGk+zoT3HRLB+3bbWKRq47OcTbTx1vn57KmPxgzYDtjvSu5TVcMzcXbxYOM7fvsJLm86td7B5IYQIfvq+b71xWx/xaT55jZbHCatM07e8STrdiL+mMvQN2MaIYdxHfFP8vjJMVQricFh7f6aIrHFcLXxM4Gv52pIJLZ0JbkiT7/JxuoM42NxPxymL78hOFqX6ncEsQLlTFWuke7fkNDg5immbJVv0YcGLkriWU8F8O0zTp7+8/4vu8Xq8dgBAbdlFBJf4sCOGJ3qSLKqljhdfrtRTn8ST/b9Uh4mmThbVu9g7kLy5uBW555QyumBu0qsc0zbb3ExOyruu2iiGZTBKLxexFat+wQTRtUO5RmBkqPoUINaumaUQiEUzT5NfP9tlJ8VctquDrl9RR6VNtQiSqvGRZ5tH9I/Z3XTSreN8WZ/JrWUs5v3zVDFoqrMBa2oDVHXG+tXqI3f3ZZHT2c5GUwXdX9/PJB3t45lAMw0E4nAuISD4nk0m+8FCXTWhHk5ZN0cvmhfjlNY287Yx6e9zOnWEl8X+ypodDo2nbPj0Wi6FpGh6PB7fbjc/nw+PxEPRbid+kbhGIeDzOaCxl99HcP6yjG3DejADXLKrG7Xbn9UCXJIl4PG73lxrMBiolyLOMdhLPQuv0VCqFz+ezn3HxuSNVCDohFD3i2oRaXFEUW8kigk/iOlVV5QsXN1HvOMzSOhd3vbaRv76mZcKkuKIodoLfCaHkPpJ6RSiKJ/qt6bqe12e8cAMo7JZEsYPTTlMo5EX/6yMFDZ09zp2JZHEPRLByIrWhaZp2P/KpYLL5RdwbMQYiaOrsVwbWvCecASaCsAJ6PjBVglj4vIuA9PGQRGGr3tPTM6kCtIQSSnjxIx6PEw6Hj/g+n89nz9FiXRUcAKy5V/xZKG8KUZgYj9uKcZmMYbKuM8ZXH+/jbXcd5o9bRosmdcs9yrikOMAt64cYSRi0hDRev7jcfv0Pm0cIJw2aQxoVHpmOkRT7hlL2ObgcavWH943Ya76qqpzeHOTGy1rwOxL34pwyJnzy3k7+sL6H5U3WOj+WNKjxq3z78nqbq5nAP7OKi6YyjXK/21blJhIJ/r51kDLN+tK1h+L85TmL4/996xAbDsdxKRKfXlGNrCjctzfMe+4+zJMH8xOoXlWi2IpgmFZgtsZv3bfF9VmuZkh8fmWd/b62bALZnXUh+u21Tdx4YS1nTvOhyNZ4XDM/v5BqernGtfODFHHBt2ECH7q7w/67DPzm1TP50oV1nNLoI2PCYwfCefe5L6Lzo2tm8PkLG+3zBst2/9m2ESAXwPZ4PLxmaXXeWMsSnNPo4icvn2Z/Vjjcrz0UY37WqtzECsruyarjF1ZbAbdZlS5+eGUDNT7r2FFHr/S0YZLOWIWcwl3q7GYvHlViz0CKTzzQww/WDDAYywVsRVGlx+PB5/PZgWuf18OK6Vaw9tHWUc6cUUbAlT+YIgj9WOsoD7VGiCRSjCUz3JK1v3z1wlCeG5XH4yGekfnKY33E0yaL69y863Rr71HYM7wYBGebqEelkzM6eSPkAoyiMNW5rxSBsng8bu/HjsQ9nJxSfD6dTtvnKF6frDWQsGU/EiYroBVuSQJCAe/kYCIo6Pf7x1mSF+L5SIoLTJUXigJx0brpaPZJEyGRSNDa2jqltaSEEkp4cWNsZMj+c2aChsCqqtqt+UzTtPmjaIEmisrASiIdSeiwqDZXlPbogSjTy7MCAjO/wA2sJHTXSGLCPf70cg1VtpTdGdMSqbxiQRltI2lUGV55ssWHfrW+n+2HR/PWwnJv7rjfuqyOS7OK46F4hm890U1DUOXn1063z3d6uYtZla6iHK43minaRzugWW1y7tw1xjvvOswta3tJmArhaJxvPNLJ7zZaxa6zKnPX51WlSZX7igwfP7eG1y7Kcb3CcTvREYOhuGHz68Lr749m+Pu2Yb751ABvu/MQX3ikj5EUXH1S0FZjC4giABO4YdVhClP7OwdS9rPm8Xh42WxP3nfsG0zl7W8unltBY5nGWDLDr7MtOwEagwpKJjXOOtoZXxYKWn+WNiR0w1aGN5Zp1JZZifT6UO55fd2pdfz62mYW1roxgW29SQbjBgGXxIfPquQnVzVw3cnl/Pa6afzqFY00h3Kc5MBwmtf99QBv/PshvvlEDx//10HefEcbV/9hPx+4p4svP3yY3z83zKMHY/RGdP66dQwTePlJQd5RJCkeSWa48ZFenmqPocpww4WNvG5p1TjO81xPkj39CdyKxBdW1vKO08rte/DJVb1sOpwrjEylUhM6ATkdhwqRTCZtYZT4u/Nz6XSaWCw2pbaHuq7bsTdnXFDw2VQqlZcULwZJko7osClwpJY6zjmjUJAF2EUWfv/EblRg8evnK3Es3N+mAuEWK0RJU/3cZBgaGuLgwYPPmyL+xYqSYryElwSi0ai9iRV2xpBvcyySQU5bafGfsIYWKlCxEMmyfFQWF0eCSCiZplnUss9pTSKsTgzDQNM0e9H64+YR9g2l8KoSlZ7xfWOSGVAk01a7CpsOsdAU2jcX4tlsf+7TGj22DacTohegqH4ShP0V84OsPRTljUvLueLkWtsyXiiqRdBHUZQ8lZJXk0ilpHELpahwE3Bh2Xn2R8r51cYh1nX+f/bOO8yN8uz6vxmNurS9V/eKCxjTe+898NLSe88b0iGF9B5ITwghhEBC7x1MMRjjintfb++7klZdmpnvj9EzGmm19tox75eAznX5sr0rjUaj0Tz3nPs+58RIa9miz6qsAcN28fsvD1LvV7j28CqObxxPSMdiMZ7bHaU9kH2dRXUuPrSknOkVTtOKOZ25eTmqyU00qbK2J8rPXhvmt5f4UVPGuSbOKzHAIElSVjGu6mbREIvE+PTRlTy4JUhHMEWVR+ELJ9SZmTOAqSCxWmzbbDZGM5mNioyp/JZl2WzyQ27xIJrVYjsHex4LlUq+tZZomIuJPFEQu91udF3npKkulta1MjCWosa//4JJEIuxWMwkSQVRXsgSx+rAAJhWQYWUOVZYCz9hzyOs54UlZKHnCXX1ZCGa36LwteZPiteeCOb5knkv4v82my0nAkBcH6w3ylbk2/sLWFVMbrfbVG5N9v29XY3j/RHUE+2DeJ+HoggeGhoiGo3S3Nw86UK/iCKKeGdhdHTUbISlUinz2ihsjsU6Iq7z6XQat9ttTu5b10jRPE+lUmaenPVal22MG9cxQfg9tWOMN7pipnoXYF61kzKXzOududf0zuD4G+R1A2le3mtYqH/l1Ea8bkPhuXUwYeY3fvroClKqzk0vDPD87gi1PoX+cDqHdFzVHSUtO3FKaWRZNpp/yGZztKVUMeNhXIpEbzjNnesDOeThVYeVMK/ayV2XN/HBh7tz7Mx7Qike3DDAOTN8OBwOntwW4Hdv5Kr1b18zzO1rhs3/H9Hg4aXdY3z9uf4cO3IrYoWCFTFUHD8+q5ZfrAjwctsYM8sVNvbBq3vD2KXxz6nyyFxzRA2yrpprZzqdJpZMcveGLDk4pUzhz5dP5dblhh3lvrLMrT/VgGvv2U19iYNF9V5ObHaysivGm93ZQbFYWufW1/r41LG1tI34ufst43VVHb7+fD9LG918ZGkVreWGq029385xLR5e6zBqGU2HTcMpjqqXmVoi0RbK7kFnMMnlh5Wb7lOt5U7W9cRwKRKzKrMkjtchc8lcH39eExj3fjb1hTmypcwkVQ+rcfHxpRXcuT7AC3sivLAnwmsdUa48rJQrF1aa0T9jkZiZuyruL06c4uXRbSFe2DXG87uMhqI1w1QHGksUukPGefb49jGqvTZzAOTKwwxSU9zDBcci3PRCP/3hNHU+hZvPbsEhGVaG1mG8/JoSjO+7GHKMx+MFa9FC9o5iwFAoqfNfCw6s3rE+R9Sn4lo02dreqnyGrNJI3D+I9yms40WTPb/xImrH/HpRDPGK4y6GXFwu16Rcqt4u1fiB1Kv5Cnw4uM/JClVVaW9vp6qqitra2qLKp4gi3oXQdZ1oJDu8p2VantZhJXGtEWuFqDes0Xoi31Y4NwqXnYmunYfVunhudwSfQyKc1Bm1KJHdCkTySsdtgzEzukasF6GEyu1rRnl+T26EzglTS/jVckP1++ElFVy2oJLuUIqVXTF+/OogvzqvHo89E8+ip82aaCyp8bmjy2kudXL76kHSGvxqxQjP7AyzdSiJIsP3zmqk3KERSqhs6IuzoT/OW71xuscm5inCloG9hKrzrw0j3LthBGdGXS4B82qc7B7JDmnFMj+fCKoGP3x5IOdnE8w0HDTyM9ohO3y4sM7JNUdU842nusZxvhLGYMHyveMzoq0qdrtsDD3kY9dwgp+90suXT2k0OF2nk5NavaZLzz/eCnD01AqTc0ynkly1sJJfLu9j1LK9Br8Du92eoyQWdZBoIiaTSSRJotyVuc+xfFbfOLnGVAdXOLI/X9cV4i+rh027fuH2FE7qPLcrTI1HwWaT6A6lGIhBc5khMOqNZLcRjGu8uDt3MM3rkKlw2eiPpHOs+M+f5eOjR5aPW6MHwmm+tWyAzmAKj13mW6fXM79KMYf/RO9A13X+vrYPgHNn+Shz2bh8fhlum8RvVxk1+03LBvnOmY0sqTW+W6LuzYe1nwFZF0ohzPH5fEQikXH1zYHWF+l0GpvNUPqLa1E+JoqgBaNuE5y/2E9hFy/eh7AO35fCeyJnH6/Xa0bbiHpXXP/21xi2uicdahxI3K54fXGO78/hczKIRqPs2rWLpqYm/P7C7rtF5KKoGC/iXQFN04jH42bz1ZqzLDKRxeSlgGiICYimmFBpimbTv6v0zodoVlsn0UWucDKZNN+HUB2IBUbVJe56a5SHtho2L7G0zqsdCSSgzCUz1TL9uHxPiHg8bk75qapqkrSi+Laq461Y2WEUQ0sbc5UR4vm6ruNwOHC73WZOXjQapcrn4LcXNHDSFN84ssTaQAfYO5pdyETOyv4gXrvKq/D1k2u5fnFF7mtY1jzru+odS/OzV/q47oFO/r5mgKRu/NbtdqPJCr9/0yBfa7w2bjqlml9cOIX5DaVmMSfLsnnz4rTb+NJJtZS5bOweSfDb13pysl5EUSSOTeZegIRqWOLY7XY8DgW/UzZJ5C+dXI/HppnHwmrz7/F4zHNPVVVGY6IxLpmEm7BOLFTI5Ct/bTYbHo8nx55bFEHixkvsO2SLWtGkt9vt5u/3DkcZCxuFkCDSBMT/xVTf/pridrsdr9dLNBo1CybxnoQNlyhurM+xfn/F+ZxPPBZSW4uBAaFuEY148fiJ1NL7y3fMh/jeic8zn0jcV6EmCm3rY4WVlVCsi2uJVW1U6L2K7674LN1udw5BKiZCYfKF3ttJ7B3otq3uH4cKouAsqnyKKOLdCXHNFtdtcaOfTCaJRqPmwJb1miniKYRbi7hpF2uBaBblD9wkM2yXIsGytrDZlH5yZ5iRmEqJU+bSuSX8/sIGfnJ2HefPHn8T3BVK5dRZCRR+8YpB0Fw6t4RWn7GGqJrO7zPK2jOm+5hf42JxvZvLM5mQgxlbcE03yLSp5XbSGjy7ddBUgAA8ti1r5y0sq0+d5uOuK5r4/LGVzKt25tRlt68d5c71o0TTGvdc2UiVJ3vcVB1+u3KEjz7ayx1rBrllxf4t7N/ojHD/1vCETXErylwyV84vobnUWCu2DSX57coRU92c0gzVuKYbFvP56B5T+fQj7YxEkubaGYmF/esmAAEAAElEQVTHufbeTiLJ7Js8srmEncNJHt9urBsTNcULqclTGnQEkjy2dZRfrxzNaYoLPL0jxFV37+K+TdlmvCwZf1Z1x/j4I5389o0hRqLGYOnZM3w5z//xS/1osoPFzWXjtj0Wt7gNZZbghXVus2ktcHiz0XTOd4B9fEfEUFVn3lwKmeaqEr5xRgu/u3Qqc2tcxNM6d64P8OEH23mjO85jW0b48CM97A4ZNflgMMqz20e4NfP56xguCtcsquCvlzXS4Dc+Pwn4xNIKvnh8JbU+hZGYamaQnzTFgyIb25NlmUgkwh9WjbBpIIHHLvP9c5qxa0mTrLPWG2KwRUBYb1oHKScalhOOUcLxSLgsicHmQgTewTRcrdbu4lo0WeTXsIJ4FURjPB43VdOizixU94r8dJfLhcvlMl0xrPfM1oHdydaVb9fA5cFsV9xTiQGBQ4GhoaGiyqeIIt6lMAePMktOWjU4Pl3XTS5NkqSCTnYC4roMmE4kQjU+kcPFYTVGXRhNGg3gzpBx/VFkoynuz3NkWd0dM93/XC4Xr7TH+PijPTy/J2JEmMzycXyLwb/c8lo/qg4nTfFy+cIqZFnmc8dWUuWx0TOW5g+rsgp5m81GqdtYE8JJg7u6bI6Hzx2fdenZmlnHZ1e56Aqlea0rwYquOP3hNH6HjSMa3Bzf4qHCPXk+Ric7bKoDmwcS49Tmk73ClzrH8xMSUO7OHkO3AgtqHPt0DcqHYUlf+Hdv9SX4ypNdVPvGP8AYErTzwSUVHNfiyVF7W9+TTTKGVgvh6R0hrr57Jw9sHGYwqnLOnHLzd5sGEry2J5AjKDm2KaviF3VgpVcxayfRHBfclIgrFOdxeeazE2d1udvG9EqXuS42WjjDG57qYetgArsMxzR7uPywMqZXOpEwzpUbXxzga8/185uVxgDE6+1hsyluw3BRzUepQ+L4ZjfdY6mcpvg5M318bGnFOA5qz0iSG54xnEKrvAo/PquW+VXGexX3hYJ/XNEWYOtAHIdN4vJ5Rq3scrk4d3YJXzqu0tzmt57r5sU9Y+bxKvTdFfFIoieRTCZNns/tdpuOrYcCqqqaPLtV6CQwES8nuF4rhJOoqCsFj2vtb0zE19nt9hyuUgwhC7W1qKth8vXzf5IDpOAMDpRPnghi6LK/v/8/6n3+p6KoGC/iXQG/309JSQmhkNE0Fg1lMYUlLEeElZ1ongnbZfEcMJor1jzsyVjbHSgEuSiakqJpryiKWVBomkZSk3hjb5jle8O80RnJKeTKXDLHNHk4rsXDwjoXf1k/RltmAvKN7hjvWVxtvs/8Zp+1gebxeEzF01BMpz1g5CgeXp/bGBcXcnE8ReEuGu1CvWzN0BBKVGEHLsjio5o8PLd7jBKnbFoAiiboRBCq/kQiQQLFtG0HKHdK1PrtbM/kuIil0iFLJDPMbCRpEHJ3bwhw4hQ/nzimhp+81E1SNW4UfnJeC40lWYWuWHglSULNbFBLp6jxl/KF46v41gv9PLZ9jMX1o5w8o9xUVYhj4Xa7cdmNhS+l6kQiEWOqTrVx6xuG6unSuSUsbfaZxJaYiBNZhkK9LCaGw+kAgElUigm/ifJaxA2TKDYFWeVwOEgmk3i9XiKRiGlxb1V/i0JMnKeAadk4FEnxsUd6UGzGDdf8GidHtpQxrVTG6zaOm3hP+Z+pdepZKEmE9bo4Z8T5IzJ2xDZEJo/I3BHveSKViWhA5A9qiKLM2rgolEPodDpNhZ8YXimkFtoXxGCLUKSL9ytesxBEHs2BIp1OT7h/QrkurmVWy3QxBCQKz/xzSVyjRI55oRv3QwmHwzEpdZGANef9UCq8RcFZXV1NTU1NUeVTRBHvItTX1xMOh3MiaERmnsgAFtdD6/S3oijm9csaxSHqPGtkisBgxmL6qV1hktuzdd7iOhfnzPRxdJMnp0E5s8I5LtNwKKoyHIpS4jbic259ycjhbi518MGlNdgkg5h6cneEPSNJ/E6ZTxxbh8djNO6uW1TGW31xdg5nr/81PjunTPHSNhrglY4YF8wtM3/38KYs4dmWGXa8fK4fn8vBRQt8lLttfOvFrMommtK5d1OIezeFWFjn4rrFlfzq9dwIpN6xFPdsyDbcG/0KdX6Fdb3xg1LoeB1wYquPC2b5aS2zc/HcEj72aDfhpM6zuyMcXm98PgORNBfO8rGxL8aO4SRLGlys6cltTLeNJvnsE7386uIplCg2rr2vw1SkTykz8jKf3RFgbecYOrlq8fNm+ugPp1nTa2wzXWDpL3PJ+BwyQ9HCFqEC0VTu7zQd/nBhA3duCPF6e5hHtwZ4fleQ98wvHUe0JlSdrz3dwSXzK3hoc27W+kt7wuY51Zshzpc05TbWAaZXOHEqEonMPornvNYe4Ra7jCdT90aTmnm/MLvKzS/Pa+T5nUHuWB+gL5zm5hd6qXDbGImp3Layj3nVTu7dFMpROKU0OLLRwweOrCKe1glkhhZ04HsvD/Ld02v45Tl1fPTRHsIZX/i73gqyqifB9QtLOHZaBQ9tHuWZXcZ7u/H0RqZWuMx7nlQqlVNjikFC8fdETedCyhZRT1qHGsWAtrg2iHskRVFM9YzL5Sqo+pkIgogVdWIqlZpUhvbB2oJP1NAX947i90JRJO6d9lWLCYWjuNcRLhpvF7F3MMoccf8sVHCHCmLosrm5GZ9v/PeriCKKeGfCZrPR0NCATdqDphuOj4LfAcyGlIgXEQKIRCKRc60Q9upiQEnEgUzEG9R4bVR7bAxGVRbVOXmrz1jvREWpSLnXt3WZOqVvLMVvX+g3/z+l3Mn/nljH/Fo3A2NJVnTuIa1BiUPiQ0fV0DYcJY1CJClx4dxy7lgzxIt7IsRTGrU+O9GURjSzTv9s+RCyZIh8wsnx1+fNA3G+9nTnwR/sg4AiwUeOLMPpcPKr1/oLPiaYyF2jZAl+c349LWUOtgzE+dWKYXrG0mwcyOVRPApE90PrxPJ+n5+h3punlBe1V3coxd/WjvDds5vY1N8D6GZtJWCUTrn77rIZLqM60B9O84c3h/nDm8NMLctdu3+2vJ8/Vbvx2oztPbk9W6eJvrJTxlTxWuM7hTpW1CfpdJr60lx++csn1aHqEu2BJFsGEjy+Y7wgIaUZkT9vdBauyewyLGrwsL47SlqHCreNOy5rRJYkNEnh5hd7WJ3JqA9m6n8rzprh439PaiCZqQVFXbhpKM3NL/QTTWm0ljn47hl1VHsVs1cg6gPBvd2z0bh/uWBuGeVum8mBO51OzpzjwONS+M6Lxrn1i9dHiKV0zp9dksOxj3vveb2K/HpPXCuE+4+u6wfsviO4Z5crO6BgHWYoxH/ZbDazwbu/mMt8FOIahYOldRhVWKsXirzNr8uE9byIEhL194Hu22RxMJyg+Ey8Xu8h3a/BwUGi0ShNTU1Fp8t9oNgYL+JdAWtmuMfjMW24C1kvW292BaFptaUWF1ShdhUEQKHt/bsQk1lWRJIab3ZHeaMzzuru6DjFSYlT5qbTm1hU7yaVTJgKBmue3sa+GP2BCKUum/m+J4K4SHs8HtbsMYjO+TXOcZl+wh5PKNHF4ptOp8fZ8+VbWoNR/AtL98+e1MSHlkRyJvEnMz0lyzJut5vbXuslmtJpLbPTHkgRSOj87comkGz8edUQz+0MEE/rZlPcJhkZQUnVICSX7Rlj2Z5s4XX2rBKqnFoOwS2mbxOJhGmlbstY8p8wrZxLeqI8vHWMW1YMcUSTj1KP02xkC0sZYaWu6SDZjAbtT1/pJRjXmFJm572Ly8zhCKv9v7WYETEAuq4zGsnkR2amPq152qIgtR5zMVlns9mIx+PmeSBJkmkXLoon8TmKc1zsh2ieQ7ZR/NXnutGBlGrcQK3rjXPXW0HsssTMSgcL6j0sqHExq0LB4yBnGEUUO6IJb23sC7scTdPM17Uq4cXQhdgPMcAyUfEnPsNCpKEo6EQRKorXfOTbSApCb7KNW6vCbjLkJWDeUOzLcmgiCIJRFI9i/8WwhmiQC2JYqHzE9U8MEkiSZDaore9VnB+HIntxIuyrwV8INpvNPCcOJYEpMDg4SCwWo6Wl5W0dCCiiiCL+cyCa3mK4KZFIjKvXhJMHYF4/xVomaiZxzRAuQELtqdscPLNtmGd3hdmRaUYnVZ1Kt43hDKF18+k1BSNtPA6Z5lI7HXn26V2hFLMdMq/sHObZnUEk4LPHVKCrKdJAVLfz19VGM/q9i8pwkkJVjX0s8bn48sl1fOTBbPZ1OKlx5uxy7lgXYGNfjN5gghqfws7hBD1jua99VKObKeUGWRRLpPjTamN48bxZfp7aYTSL51c72TKYMGwx+4xjaZMxhw/z0T2WLmib6VYgmYb9tbsiSXh6Z5ind4aRJaPRflyTi2f3GOvwul7j78GoxtFNbpM8PqHFndMYn1PjZNtAguGYygf/tRspU08CHF7n4tun1fCBh7sZiaqEElpO47jWp/DJoyv57BM9Bffx0nl+nt0VIRDXCMQ1Tp7iYVGdi4e2jhW0xy+Erzzby6ULKjl7qos7N4TYPZLkb+sDOYolh00iqepsHkhw4lRj563DBknLZ9CXcQ2YX6WMsyGU0Jlb7WZ9r1HXuBTJHBB4btcYpU7jRcOJlBkRJOqe8+ZXc+LUEu7fEuJfbw2bxO3G/gQb+3NrqmkVTrYPJVjTHSEYibGsPUk0pdPoV6j2Kqzvi/OtFwdY2uglnNSo8sicNtXHYzvCbB+Mc+MLcWauD7Jr2NjuR5ZWcXSzd1yclNhHUQNa1T+FIOrq/PpMNKhFnW2z2UyljHnsMr+zDvMBB1S/iAaIqMusx3ciWGOPDhTiPkPcZ4t7knDYcBcTih5r3SZiJcR9hXjf4t/5iiRR6x2K7MWJ3oP1PmQyELadk6nZDxSqqrJ3717q6+uprKzc/xOKKKKIdwQURUGRJVKajqLYTWWtFUKoYD4+0/x2u91mbq5oYglXDzFoVYifkCSJw2pdLGuL0FRiZ1N/AlU3mo2lTonRhE6lS2Y4Y409HFO5eVk/a3riRg450Fpup8oj86c3+oimNAYiqlk/hJI677u3bcL3bMT+5L7HrtDkahuHzeCVarwKXoeM32Xn5bYxejLPr/LY+N/jKumPqNy6YvjfyvpO6/D7VQEgO5i3P2g6PLZ9jMvnlfDkjjF6CtSrDlu2Ke6xS+OGGydCPK3TVGI3j5UiSyYfCUZD26NIRNO6EanzdJf5uw8cXsrPXx/J32Tu9icooNsCuZ9NMK5x43Pd3HJhC6FInPs2Gc1f6zGKq7pZR+VzcoKTQpLpCcQYjGSPkQz8ankfAxF1n59dhdtGg1+hocROS5mTplIHtR6JvrEUt60N0B1Ksbor+7rTKpzIloiCH53bwludo3zjhcFxg6c2CeZWOVBsNkSr0maz8cKeMLeuGEbVYWGdi++d3YKsJkzRnRjqS6VS6LrO5qG0qW6/eJbHHHgRrmOqqrK0wcX3T6/hGy8YQ8O/XzVKPK1zzRE143hzwORuRW04Ub0nIlqtvNmBNscF92iN0REo1EewRoUdaJPX2vgW/QShNLfZbObAQTKZNJ2XRC0qroWCv7X2aPKHgw6VMrsQ9hdNWwgiavRgxE/7QyQSYffu3bS2tuY4qhaRRbExXsS7ArquEwwGJ8wGFrAWmGAs1uFw2LQEF3C73Wa+b/70UqF8yH8XwbjKyq4or3VEeasvnqMmqfMpVLhtbBlM4FIkfnp2Ha0VdtKprFpW13Xq3MZCLwqVNb0Jzp9XOWHDLx/RaJTX2oxi56im8dbmolksmntiukzY8AnlgzVv0+fzmXakgKkMF41WQRyJ3+0PsViMkaTM4xkLzw8fUc6Plw8RTmr0R3Xq3Uk+tqSETx9TyYt7wvx93TA9oRSqDmIIz1qU2jJqmaMaPSbJJQoesXC53W6zEHU77ebNx/sWl9MZTHHFwmrsZPNTxCKeSqVwKdkFORpP8mp3ijc7IzhsEl86oQq7TTKngcUQhvW88ng8OQ3SaKaY89ht5lSfUI0DWev3zDbE4IXT6TQLVshVcSeTSdPeVfxcbEM0ScXvBfF146k1fOaxHnQMldNhtW4298cZjatsGUywZTDBvzAmaaeWO1jU4GVOhcK8GieVttxK3Kocj0QiZhEjzhFr/qF4T9bzZl/FhcjfKlQYiUwdkdljzcexvlY+RKP5QJrcAmJqVKhkRH66FULJDuPzICcDYTlU6PsktmV9DVF4ip9HIhG8Xm9BK6X/K4hjMpnmuM1mMzM386MDDiXC4TB79+6ltbX1bS20iyiiiP8MRCIRswaY6Loi1mdxEy9qw/z1RNgsS5LE1p4Aj2yP8ErbmEnQCOXH2TN8XDbPz8ce7cWlSAWb4gKzqhzjGuMdwRRNJXZ+86ZBiF0818/c6qwl8G9e6iWW0plV6eCsjM22sOG02+1EYrnkRjCu0jkSM5QYPVFe7Yxz/ZIa7n91vNW5yHUGeGRbiO5QijKXzIeOrGI4prGyM8LCOhdfPKGK53eHeWhriFhKn7Apbj0u+chX1ojHWpu0+dB06Ayl6QyNf3L7aIKRWJpzZ/m5c32AJ3bkfn6RpM6p00tYtjtESsfsyC9pcPHj81pJJBIc3+Iz7eWTls/1N5dMZSiRZs/o+LVsdpWLz5zQxLWHJ/nLqkGe3hHi5b1RXt6bex/TWuZgZpWL53eFCr63YELnjtXGZ+KxS0yvcNAbSppkrCIbQxciY/TPbw5Q5pIJxDWuWVDK3RuDOdvTdEMF1lKqjLuvSiaTzKtxmo1xw0Zfx61IOBXJzLHsDBkHSdQiTqeTeDyO3+Pi+iOqcCkSf187lENSzqq043fYWNsbZ/uQUeMlVPjT6lHWZ4YYLp5bwmnTvHz35SHe6o3xciZb87PHVLG02cfFc0u5b8sYj20NsDPTFK/12lhSZzdVNZIk5Qz3WWtvXdf3qTC2uh7l328K63aPx1NQqTLRkLL4/lljjiaCVT0DmIM4+1LGiMcfiBOPFWL4tlA9Jo6piHYSf8R9oSRJpipyf/XZv5u5uC+I+4zJ3GuKzzbf5elQo7e3F03TqK6uflu2X0QRRfxnIRAIIGfWzGg8SYWzsLpPNH5Ew0hcQ63XcBEXoigKbSNxOoMpoimNQCRJLK0bauxEmkhKpzNgrA3P746gyBJqRnQjFNDDefnT1igXDcMVqK1ADWOFxy7htct4HDZ8ThtOWWf3aIpgXKXMZeOieWW83h5m13CCM6Z7OXNmGU5Zp8zrZGVnmN+/MZijknZn6rmtgwkW1Lr4nwWlvLo3YjbFAT5/bCUL64wmUFcwxQNbQpNualvhkHOHAw/k+U9lhi/zK0+RG55UjVrQbjP4xzKXzOePreSFthivFsgGt8I6QJDWdMOGXIfRTFc7OkG9+2pnRmwjG/WcpufW06dM9XLmzFK2DcZZ2Rllx9C+18WdQwku+ttO6vx2IimdKeUOPHaZLQPG80aiRixNJBIhITnZNRBiIGqo2TtG4/SE03QHk+PckjSgP5K77lvV7hfM8vHexeV4nTYzmtBad82uL2VxvZvHdkb5x7phU0yWVDXSkgIZYcgzu8L8cdVIZhhEJmiJYFJ1uOWNEf6wapTrF5dy8ZwS/rFuiL+sMtw9T51ewheOq0JWE2autVDlWoUvd28wlODnzymjuarEPB6QW9ssqnfz83NqueHpfnTgr+sCJHSJaw4rMR0mBXRdN6MmrUKlyeBAGrdW5x7B9Qr3o4mEgVZl+YEimUya9575EDFHYt9F3Sz2QwwQeL3egoMYVhyKLO994UCOsaglRezq24F0Os3evXuZMmVKsTleAMXGeBHvCoiicX8QU0nCIhowJzCtSCQSSJLEaELi18vaOaLezRWLa3IU3gdqqZyPGHZe3D7C651RNvbn2kS2lDk4tsnI0YmmVL7+vDFZ9smjKmgpd5nNSpHXAdBSaizSouh4rT3MaVMnr+qMpzU29hvvbWmjO8fGSUA0uYWS1GoTbW1OidwjQZgIhZTV6sm6kFin4fYFSZL4y6pB0hocXu/i8AY3jSUK24eSdAaT1LuzmS9nzSrjxGYnXcEkt60JsK43hqpnbSidNgmnzZh0vXlZH2fOLOFTx9bgSMdNNbFQg00rs2OXwWvPHoNSv5fvnFabtXfPLO7ifSmKQiqZJVP2jCb4wxuGUusDR5Qxu64kJ5tFTAELpwKh4hYOBqqqEs4Uwi7FIHmETYxVGWzN2hbntlWNLjLGRSNcKD3ExB1kG7LCVUFMLIqG/5RSOx9YUsHta0YIxDX8Dok7L2+kZyzN5oEEW4eSbOyL0RdOs3skye6RLFnXUupgbrVolqdpqvCY5454bbFv4rwo5EYg1BzW5wnyTwwIiN8VUl+Lgmyipvj+YP2cBIRaSBRvQnUtFP+iGBKfR6GMHau90MHY9IjBjH0RoOI1RBFsfa6iKPs9HmIg5u1EfhwD5BbfwkJUkO3CfeDtRDQaNQvOYnO8iCLe2RDq0X01UlKplNlgE48VMT7WdUvUEnEVHt8+xrM7DTKs0a9wwbwK1nSGWN0TZ3qFg0TmkjxRHqDA7Eonz++O5BCJPWMqf1kzynBUpbHEznWLyszHbxxI8sreCLJk1JI2WcpZ92OxGH2x8a/5+PYQp0wxGuMv7AqxtN7Ba+25a8SsSjtzMg34oWiaf2YarR84ohynrHFii5uVnRFebo9yzcJSrllYxtqeGNuGksyscLBzpHBDz0odlLlsppX2RI/Nb4o7bNDgVwjENEJJbUI7dlWHDzzUg10yyMNdefvTGUiyuM5pEp0Chzf4sdkMwq4jmH2OeMhnj62iwm3jsc0GwZZP2LYHErSNJJha4eRTR5Vz0bxyPvVwO/nVsN0G719SZTbGrzyslHqvjVtWGgMQVsIzmtJzai7I3hcIlbtB1mbIZ4eNRr+d7jwHgKnlDuQM6SRs/8SgyNzqhGXbxnYSqs7tl7dyw5NddI+l2dgX44+rA3zw8FLstkz8iqzwyKYh7nlrhIEMGWodVt0xnKKpROczx1TSHkjyxI4xI99+l/F9cdgkFtW5Kfd7+eoJ8P4Hu0ioOnYZKjyGc0ypqvKBpTW83j5mvkZ/ROWTj/dy9kwf7z2iGl869/y1fodFXW39uVDPWOvKQsSWsMG1Dhxasa+aTgy6WgcXxT6Ie08RxWCtZcW9oKiZCl2vrPFE+dufDPb3+Mc2j7CqJ85Zs0o5eVqJefzEfk6GOJzssOm/A1ErQjb3XAxFWNXh4l6qkJrzUENkQ1ZXVxfjeooo4h2OeDyOPRMyrk7QHBH35+Je3eruZoVQjgM8sz3AA1sKD85Zke9CuS/MrXYyu9qNy6bjscv4XQogcduqQSIpnWOb3Zwy1ccPXzG4rR+cUcvMKheKopg860hc49OPdROIqwSjSWZXOtg1nKDaa2dBjXGNTaTT3LvBqGWuX1SGJBnDcLG0TkvGGemfG4Os7IoyEM7WKce3eDh2WoWpFL1ifglP7BjbZxQNQGupQn8kN7Im+W9qnfJfMV+EI2oun0PmppOrmVHpZOeoBuy7MZ6P0djkmnxvdho1ToVbYSCj0Lbu46nTSlhUY+fYKaWcP2OMH702wvoei1tlgfeU1ozhA4C9o0nsFkeiTQMxPvHQXrqCiX0q4pWMQ5R4hMOWrUunl9v5wBHlLK53c8Fd7cbjFTt+t93kBfN5M8HHXneEl1K7xi9XGOfRhr44H3pgLx84ooI13RGWtRnvbValw6yPz5hRgl/ReSxTZyZUndvWBLh9TcCswS+bV8KHl1ahZcRPQjAneHjhyLihL8aG3iiKDJfM9poOPUL0ZK3LPB4Ph7d4+ONlLj7+oFHv371+lHA8xedObBrnJlRIwDdZiP2wxsIKZwkrP5yv+rZygYUGCq0iw4NVP++vj2J19LRC7KfVOWki/F9wdaL3kQ8hwBL3BSIz/u3mKlVVpa2tjSlTpryt7p7/jSg2xot4V8DhcExqqls0dWVZNhcBQYSIyRoxjZROp7nhyTb6wmlWdsVwKhJnTM9m/ORfzMV0p5icF40bKwbCaV7vjPJGV5zN/bGcomNauZ3jWjyc0OqjtdxoDoYSKp99YgBNh9On+zhtms+cfsq/wJa7bXgdMpFMdbeuN048reFSJmf9+1ZvnJRm2D7OqDFyr4WiNn9BtNlsZrEuCgTAbPRalbhi0RL23cLSWex3NKlR6nVOasigfQxebjOyAj9xbD0ej4vWchfbh5K0j8Q5ZVqN2XwXlnxNpQ6+fVoNNruTO1b18dTOMKGERkLVSajZ4u+5nSHW90T4yikNzKvE/Aw9Hg+fPsawurMeb6HSKESOCQtWSZJM+8rfrBwhpeoc1eTlwtklOQMW4hiLOIBkMklYtfGTpzqJJlJ0janceEq1Sfp6HVlCRyj1xX4Iu1bR+LUSaGIKUFggCgI/mUzmTL1Z35PYTzHsIIrS65bU8mZnhE0DCZ7aGeak6eUc1VxCY0mMSxZ6zBuiHSMq67pCbBpI0B5I0RFM0hFM8kyG6Kz22jis1s38agdLWspocqpmbpYYTrBCvFfRxBVNYGFrJN5v/qScw+EwG/yiwBSN90IThZOxS7dmslt/JiZKha2+tWm/v4LI+nkdrCvFvuy+rQWmGAARBXK+vedE2J8zx6GC1W1iov2AiW3w3w7EYjFTOS6+r0UUUcQ7D263O+fmfyKIa76qquYwmVCkijVaEJvr9ozw1M4sEeZ3yiyosrE6E6XosEkkMl1MtyKb66BwxrAOgc6uMmoc1dLtXdcTYddICgn43LFVZv0n2x3cstywujxvlp8ZlU7zOm7NI9s5mG0YKrJBhL3WEeV9i8pQZEOR/rd1o+OOwSVzSsx//3WtYQ04t9rJqVMN96HjWry4VhoOPm0hnZYS2Ww+1/ls7Ny34yPAhE1xlyJxwWw/sk3hsa2jxCykXFKFvYFMfSpBs1/GbpMJJDRCCW2ceqUQnydIzce2jc89vG31ID2hOEtbSnirN3cNai1zcM6sEhKJBK/sNY6rtSnutBkDDV95soNbLmqhVIGpZQrzat1s6s/dVvtokuVtWdLbLsNhdVlb7MsPK+W8mV5uXxNgdU9sQmI4aSHFBXm5dSDO7VdO5+y/bMt5rNOhmE1ZQZCJGnFmRfacEa+l6YCW5rrDK/nxK4Zy5rFtQbYNxvnqybWs3jHA/ZuCDEaNz7HMJXP5vFIuW1TDX97s58HNAWwSdIXS3PrGMEc1e/nqKfV878XenP3/xGPdnDDFj0My6nibZBzXm54f4EdnydT6bNz8YhcDEZVqr40vn1zPfRtHebMzwpM7wry4J8LFc0q4bF4JXodsnv+i8SzuD817lLzhR/N9W+o+UccLlfREmCwRKAY5rY14kSku6kKrBaW1fs2vmWVZzqllC2U77g/7cs646B/t5sBJrU/htJnlJhkn6vLJ1ItvRwxOIUxELieTSTOuyxqB9H+BgYEBNE2jtra22Bwvooh3MLxeL5m++IRuOeI6LyyERU0psoOFYEJwMrFYjCmVbuZVJ/A6ZDx2CY9dxmOXKfU4cEgabkXiT6tHiKR0vnBcNY9vD7FzOIHPIXF8i4dndo0fiH//kmrmV2UbS06Xm/99rI1IJsrwpjNb0JJxTp7i4eW9UX6/aoRfXzyFZEY4A1DhkvnSSXXc9FwPj2wb48RWY20IxrNr2ePbxxiOGuv1ebP8GTdF+POaUTqCKY5rdrOhP5GjWLfL8Knj683jtWlY4/sv9OTUPvmDiHLGJbI9mObS+eWcPc3F3ZvCvN4+Nq4WtKLOa8Ntl8dZjO8L0ZSO3yHRVOZk60B2zQknNb7xwgA1PjsdGRW/cO+ZCOVuG8GYOm5gcjIYiBTmdOpK7OwcSfP0mz0s2x3KqQ3zB0Ab/QqjcXVcw9t6bONpTNW5hJFr31jqoMGv0OhXmFrlpaXcxZb+SF5NBw0ldq5fVMrxLR7TJUtwsxt6xnhqu8yF8yvN4WPBuwkFteA6Nw1k65yGEjs9oRQ/Wz5obu+MGX5e3D2GqsNJrR6+eEINajrFh46s4IGtYe5aN0xKwzzOEqBLNrRMfSV6A1ZXUTBqsb+tMWzsz5rho8prOC3ZbDbC4bD5HRb3k6JR3uCBP17cwMce7UHT4dFtYdJ6L59cWgZgDlkK5ItZBPbH2wmhlKjfxOC2qDWEY6fH4zHdz/bXhBfHArJRqwdawwkedl/qacGPOxwO837EGgm5L1jFZ2839lUvCqeD/wsBj4CmaSZX6fWOdwF+t6LI2hbxroFofO0PghBwu92mPVy+dYloIM6udppZe7esGEbTjUWv0AIgSBWx/WVtYbqCacq8LkajSdZ1R8apYmZXOTh5ehlH1SnU+e2mKlds65YVwwxFVZpK7Hz8yPJx70U0r1XVsLBpLbWzZTBh2sSs7YlzXMvkpoVWdRuLxzEtvpxFVGTDWIkU63sXymJhOReNRs3jap1AE0SDUJuDoVL/0MPdzKpycN7sUo6sd2ZsGcdD13V+v6IPMCyAGjyGyril3CCHO0azpJau64TD4XGTUtcvLuf6xeWs7Ylxx7pR09ryh2c3cuvrA/SOpbjhiU4unuPn48c1AOmcRqdQdIhjEolETBW2OCbid8K2XzTGu0Jpylw2vnhiLXbLmKU1n2YkHOeBrRGe3xlgNK9I/upzg+a/VV0yG8TWKUBrwTRRpp5V6SzeU37BZLWtscJqWZNOp/nh2Y1c/a+9hJMa33y2i39c1UqZ22icy7JMhQuOaZA5psEYLBhLauwK6LzVE2ZDb5RdI0kGIyrL9oRZtgdYOUKZy8a8GhfzaxzMr3ExtcxunhOi+SDOH6u9f76yz0ouqZpuKs3T6bT5HkSzWvxcWAmJRsZkIPK4RfSCOMbW5rHdbmdX7ygPbxvjQ0eUY7dls97zj6/1PRwoeSkgnBoKFcsiA1d85gfa5H67bYkOBP+/rN5Fc3zKlCnF5ngRRbxDIeyQJwNxLRKxI+KGv9DAlRXbhpJ89sleKtyZtcgmmY1dj8NWcFhJURQcDgdTkXDapBwF0O4RY82+eF4Z86qNtdjhcPCPdUOZGkTmukVlZp0JuY20dgvxeMY0L0/viqDp8PcNAY5q8vB6RzTHYlNgSaPRMNzYH+flvVEk4GNHlpskV5nfw7HNHpa1RXhuR4CTp5eS1gzi8tWO3Ov4jHI7bYEUkxE2CVXOA5tDXDrXT41HoT2Y4ovHVyLLCrevGWI4ms3T7hzTwEIvTmTVbkWh/bBaPT65Y4zndo9X/fz83FoURaEjmGLv6HgC5xNHVfDQ1jHaA0m++lQXPzqzhgqvjUr3+Bo4pcEf3sza17/eGeeaJbXm/zsCKRrLPNx0ukEc/W3dCPe8NX6AoRBW90QJJ8YTvh3D0XFN16wyIkpziTLOlv7jj/aYKrjGEjvBuMrO4QQffrDDPM4VbhuXzy/hnBk+nIqMQ9a5dI6PJ7YFSag6J7R6eaMzwpudEdZ0RfDaZSIpDQmYV+tic3+cV9qyQwpnzSphx2Cc3SNJvvZcH4vqXKztieJSJL55Sg1Ty2384OwmVrUHuPOtIFsH4vxrU5Cndo7xnvmlXDSv1CQDAVMVZLfbxxF21nsfob4WzkXWelkMAFvr6nwL0IlgtZAUw5Vim0LdLAY8C20vf5jnYCJ5CmEi0tPqwrA3kDKHcw8E4h7r/zcKxWD8X2FoaMiIRaurKzbHiyjiHQq3240tQwFNpBgHTLcKwSWJf4umHGTdLd1uN6e2wqmtdeO2Y+WBVnXHWN4RZSiS4oLZPn75eoJwUi/YFAf41vNd3P8/rYDBHdz2Ri8b+xO4FYnvnNWMljS2+8EjynmzK8b2oSSPbx7irBn+nO0cXmvn8sMqeGDTiMk1hjIcVzipcd9mY+jvuoVlJj9y8dwSdOC2NaO83hnjxFYPr7Zn17sqj0IymeLF3THuXjuY07T2OyTGknrmOmocq0q3jeGYajbHH9o8yvK9Cl88rgJN01jePvF1vy+iYubnHADGkrrZFG8tczCv2s7angT9kTQdgSQScPXCUt63tJ5zb9+GpoMNmFLhyHH9ESrxS+eXs3UgyrbBf9+x75MPd+TUtnV+O167zO6RBA5FJmbpencXyE2fCBJw6bwSPnZ0jTkcIfjfjUMxfrCsN+fxRza4uHJBGb1hjdvXjtIRSNEZTJn14p5Amt+9Ocz0CgfTK4x7GnFPlM997hw2jpldhmsWlPKrFUPmwIMEvLBrDA04ocXDjWc0o9hkommDKz19qsprex3sGM51fnpo8yiPbBnl1CkevnhiLbIsm0N0Im5yU3+c9T2GWvyK+aWmUE/wQ0JwJ8vyuP5Bc7mb2y9p4MOP9JDW4MntQcZiSb55ZvM4TlN812OxmPn6k23+CtVyMpk0j5uu6/h8PlMsJSzM8+85C9Vz+bXxZHsw+dvdl4Ja8OnCgfNAm8r/l43ofSGZTB40n/vvwNoc9/l8+3/CuwBFxraIdw18Ph+h0P5thARUVcVms5mZbtaLs1DRNviMr1BzqZ3OYIpb3xhG03XOmenPeXyhBuSKjhivd0aBIG7FyESUJZhX7eS4Fg/HNXuo8irmc0VOkNjO49vHWNkVwy5LfPmEKtyZZmr+guV0Os39aM40xmt9CsFEkhWd0Uk1xnVdZ1WPsbAe3Tx+sij/Jl3Yh1obf0JFLo4tFJ6gsj5u80CCsaTGmp44a3riVLhtnDXDx1nTfdT4ci9fq3vibOxPYJcNqyUwmq+1GQFHVyiVY2MtmuKF9uHo1hKOaHATiKfZNKSxoFrhj5e28rvX+3h6V5hHto2xrq+N/z22ghmVTlNZrGmaSXyLomB/KlvrkfvsMRVU+505+xRL6fzrrUFe2BMxbR/3h/W9Mc64bTtlLolPHVXJsS2YzXlx4ySarIVUHsIaM18dLgYtChVBQoFutWq3STo/PrueTz/WTUrT+cITXfz1iqlmo1+SJDNj0FCaRzm2xcXxU/xEo1ESKmwdiGXs11NsGYgRiKu83hHh9Y6MQskuMafKyWG1LubVxFlQn73hEtnsopjLV8dHkjpff76HPSNpvnB8NadN9aAoCpqmmWp/kVNjvQaIgQ6Xy7VPq3XREC80KGP9zvSNhPj2skG6Qilkm42PHlGavymAnGYFYCr/D4YwtE5zWiG+fyKr/UAJU+v15t2MeDxuWhVZFZdFFFHEOwNCOXogjRLhQCSu2dba0OPxEOkZznm83yEzltQYyjRvO4MpppYb5I/LPl55KkmSqViQJZhV7WJjX8xsEOsYqs3rFhrrpNPppGM4wj0bAgB8aEk5pW67Ge8B5AxRWe3AT5vmYzSusbIrxit7o3xkSTmvd0TRySpvBDx2GVXT+eMqQ/p9zkwfMyqz2ebRaJSTpnhZ1hbh5b1h83WsihMJ+OQx1Zw7w8NQJMUHH+6Z0PpcQChYdODBrdlm6bI9EeZWO3nf4nKe2TnG5sEEsgQXzPLjdRhq9d0jSbO5faDIf16qQPd8b0DlMKfKc9vHy+Hr/QoXHFbD4joXX3qmj85gku8sG+AXF06h2rv/W/e20QQ7+0Lm59Afzs0AFKTqWdO9hBIab3RNvM4nVbj8rt3jft4X1ekJJqjx2kxySjRjnU4n82tcdIaExbmxHWtuYySpkuG4TZJzcZ2Lb5xcbd7PiPq0sdLPBbP9PLAlRO9Yitsun8rvXu/jze4YkcxJ4rZL/PCMWtoDKW58vs98rae2hyh32yh1yYzEVJa1RZCAG06oZnatz4gwiMc5vNHH4Y0+XtkT4u9vBegMpvjL2lEe3RbiA0trOL7RGMIUTkCFCMd8W0ZRb0P2eiGcbjweDy63GzI26A6Hw1Qj78vlRqjAxZCvgKi/Rf0mXtc6JCuev6+a8WAb0NbXt6LWazMzQveMJA6qEW9VX72bMTw8jK7r1NfXF5vjRRTxDoTX68WW+W7vS6UskE6ncTgcJhdgbY6L5thkr7fza50s74iyaSDOx5dWAEbdJUmwsM7NzqEYEcvyEE/Dzcv6OX92CUlS/GuTEZHzvyfVU+XI1kCVHoX3LqnijysHuWNdgGObPeQ7+L7/iHLWd4fZPWqsH6FMZtCDW4KEkxotpXZOmZrLP14ytwRdh7+sHc1pigP0htN84IGOnMFGj13iC8fXsLTewWef7KMjY/t94ZwS3ruohF+/GeCVtuwQ42AkzVefG8jZbr1fQZEYN/T376I9kKQ9kLt26sDdG4K0BVJcOc/PPzePoWKo7D9xVi1fea4/p3n99PYAN55Wj6yrfPelgYKW5WUuiWBcn/TApxgd6LNE6cQONKA97z09uCXEkzvGuPHUOo5s9LC5L8Jf1oywZXB8c3B1T5zVPX373GZagzXdUWZWuUx3w/z6CIzPE0CRJX72mjFIOrPSgarpphDKYZM4odVDMhFHzsQTtA2G+eaL/fSOpfE7Zb55ai0DY0l+v2qUcCaC6YW2KC+2tXFsi5cvnVCBHUxhzt+e3wvAmTNKqPEqBeP/BE+Z79ijqipNlX7+dmkT73+oi5RmDAvf9FwPN55Uadai1mEAr9drquQFDwqYcUeFIERPmqblDLtaVddiW8IhSLxGoW3m9zz25ZS0L0zUMBaD5WL/DsZRqMhVGudLe3s7LS0t+P3+/T/hHY5iY7yIdw0OdBom/2JsXShE0dlYYjQ8ShwyF83x8+i2MX6zcgRNh4vnZ5shhRaEo5rchFNG7kgsDdUehV+d30B9ude0fhbPFVbGYp92jyT5y1pD7fHBJWVMy0zJFVJrWhcnkTPuyLBRb3bHSGs6ygQqbIG20RTDURWXIjGnwiB+8hdLq92JyIQWNsxCeQpZq8X8ffV4PMTjcbOAt9lsHDe1jDve4+HJbUGe2RliJKbyz41B/rUxyJGNbs6e4WNpRol0R8a+88I5JdT4FNNCvKnE2M+uYConEz2ZTJoWpA6HI6eZLXLm691uqv1pFMUoZL50ahMnz4zw05d66Agk+eLTfVx3eCWXzdFN1bJo9lozQwrB7XYTjKdNUu/YZjdHNRlqnmRa4/EdYzyzK0z3PorvWp/C7Eo7r7QXvukJxHW+/8oQMESJU+ZTx1RzyjQ/DocjZz8LNccTCYPAkmXZVEqLvwtlyYhiSpyrwjqytVTjo0fX8MeVA3SH0vzy1V4+dXSl+Vxx7EXDWZBrbrcbYjGOnVbB4vrMvskKewJp1neH2dQfY/NAnEhSY21vnLW9Get52wCzKo2M8tkVCktanJA2zgGfz5dzztlsNnaPGMf3F68NEktVcMWiGnOyUVEUs/h7oz1EpcfGrNoSs9i12vJbpyyFYs96Pguby3ykVJ3vvTRAVyhFtVfh8jneCZvdha4jB9sYn+i8FEooYcl0oOrv/xS1+H8CEokEbW1tNDc3j7PuL6KIIv774fP5Dqgxbl1nrU0kMVCkZTq9XrtEJKUzltS4Yn4JD20Joepwz8YgsyqNes9ZgGewqocA5mQa4z6HTDRlXJvfM89Pmc9jNt/+uGqEpKqzoNbJKVO8KIqSU9+JdSea1MzhPKcNZlY6+dwxlVx7fxc68MjWoPkca8PaazeUDE9uD7E3kMLvkLl+cZn5e6GqqPbYcNgkQgmdt/pyFS9+h8SfLmrE77LhcDq5ddkQmp6b0zgRarw24imNUDL7OGvNYN3nR7ePMafKwUlTvFww24/PIfPQlhDLOw49gXLr64O878hqXto7ftuXzy8jHotS5VW4+fRavvJsHzuGk3zz2U6z5t0fvvXiAIpsNKStNvNDkTSru4xz9qpFlbhkjTfuN2weJ6OQt+LmF7q59YIm0wZQEH7pdJp5tW6ezkTiuO0yyTxfWGENWuWRaS5zsa4nyvq+ON9eNsCXTqiiudJvnseqqnLtklqe2DHG7pEkOwfCfOeMel7YFeRnrxnDJNGUzqcf72FBrZNgQsOtwPmzS1nWFmE4mlt7uRWJGRX2nAFH0dA/ZUYZRze5ebUrxR1rBhmMpPnJy720ljmocMus641zxfxS3n94GZDN+BYQNbAYABWRXOI8T6VSSIqDX73ai66pfOrYGjOaR9wzCQLSStyJejwWi03Y6MhvlLvdblO9BNnBGSvy73UP1vYSCtuwX7uohF+8btyfRVI6Q5E03gPkSA+WVH0nYmRkBFVVaWho+D/JxyyiiCL+76AoCopt3xnj+bCuE8KRESaniBRDWclkkiXNpbBqlK2DCaoy9VhS1fnJeS1ML7dzWYEBuTe74zkuQXV+O50jURw4mFHhoNRlRCeeN8PDU9uMPPC73grw+RNzO+OSluabZzbxkfv3kNSMWJ6RaJpHMgON71tcVtAx8tJ5Jazvi7GmJ7sPYiDQevTmVjv49qm1VJf5eKtzlD5LFnmNV6ay1M9Np3v5/et9PLglSD7KXTIfPKKcs+dWoWsqNz7Tyaqef1+ZPRms6Iiygmx9tqonToVHwW6TUC3W8LG0zjee7aGp1M4XT6zjtlVD9I7l8kOBeO45tb+a70DqwUKQJdAtn4XTBgnViNi58bneSdWcVV6F5hKFaZVu6r0SLaV2vrNsgEim9m/wK/zPETUoUnbQ1pqPLSDuFUTs5EVzSji21c83n+vO7JvhsPWjV4dY2hblo0vKCCU0vrNsgFBCo85n5zun1TCt2hjQOGWanw2DaX64rIdQQkMHXu+IcOndEZY0evjuWc2s7RhlfV8cmwRXHlZi2p+LIWkRdSDuuwSPml/z1FX4uPuKJq57oJuEqvNGR5ivP5/mh2fWmQOVQtASiUTG5Zw7HA50Xc+JgRQK8/ws7n3xeNaYVvF3vhq8UNTkwUbhiPeQz1kKnl4MQBzM4OREzpnvNui6TkdHB/X19ZSXl7+rhy6LjfEi3jWwTlQeKPIJCnEhbSwxvkLdYyl+dFYtEvDItjF+9+YIug6XLqg0m8T5OKnVw+/fzCpFwimVmlJPTjZ3LBYb99xoSuPHrw6S1uCYJjcXzMpO+BTKF7FakbSUGY3x0VjatFPf1B9ncf2+iTZhbbS43mM21TVNy2moWhs/IvtOKB8gu4iJxVSomiC3kBcQmSZVTnjvohI+uLSG5XtDPLktyNqeKKu6Y6zqjlHpsTGj3EF7IIXfKXP9khpssmYe9zqfgiwZhdBQJEVThmxLp9MmmZdIJCa0lRYKc4FjWvz87sJGfvPGEMs7ovxt7TAr2sf43+OqmFGbJfKEMqRQPopQmf30lUGTQD57ho/n22I8tq2PPcOJnEJRAqaU2Tl7djkPbRqmP6JS77fzi/Ob8CsaWwe7zFzGiRBKaPzw5X78isbCeo9JmAFmE1jYfguCUzSswSgghPI/XxUi3qPV5l80jj0eD1ct8vBaW9DMGz+q0c3SJo/5eJfLlXNuCFscyDboE4kEaGlmVSgsqK9FVVUi0RjtgRSbB+JsHkyyqT9GIK6xeSDB5kyWkCwNMK3caJQvrEszo0yi1GWQSV5HLqn0+zdHCKdlrpzrMYtWXdeJJtJ860VjavjR9/nxZL5nVlW1sMwUE4z551N+oSHe9y0v97FpIIHbLvGtU6qp9ChmsReNRs34BDh4Jc+BIt9V4UDw/8MO6D8ZyWSS3bt3U11dTXV1dZHgLaKIdxB8Ph/9/f0H9VxhfQzZxo/guGp8ipmX+MLuMFUemf6IYRctrPwC8TSarpt25IDZeBOYmWmiD1vqg5GYapIMKzujvNkdwybBJ4+qNJ1iCkGoawDm1bhwORTsNpXjWz0sb4/SHy1MfHgcMoG4yl1vBQC4fnEZJU5j7bXb7by+Z4SHt4ZyiE0r3HaJ298znQqPMaB419pB1nZHcCoSv79sGre82sPanmyj8MgGJ5sHkib5NRBRKXHKnDrVw0ttEUPRDsypdiBJMp3BlKlOAsO+fttQdh0TqmaRq5ifS3mw6Aim+O4LPeN+7nPInNSSzQefXV/Kt07V+Prz/aztiRVUnwsIIhty1dnRZPbfz+8Jo+mwoM5NrUfCZnPgthsW/QdKgu4cTvL89gCnZqxRxX2AqqosbPACRsSPxy4RzPt4JeDzJ9Ry+jQfXreTZ7cOcMuKYTYPJPjcE73cdIaNuRVGpvMnHtxNMKGzqN7Dys4I92wMccrMCtoz9qgi774jmDLP06sXV3HZHC/vPbyCp3ZF+OPKAbPejqZ1PvpID588qoLTpoHTYc9xf7DJEqe0ODihuYlHtgT458ZgRtFlPP/+zUHef3iZmWFphcfjMe3KE4mEGdMjhg73DMf56WvD7B1NIAGXLaxmaqXdPG7JZNK8J/J6veaAYqG8xELZi+LeI5FI5AwWWHPOxQDNRMr0g7G9nAgLaz1A1rZ/90iChVUHVgftK2Py3YhgMEgkEqGhoYGSkpL/37tTRBFFHEI4FBuQ4kB7SeL6LjDZ66bgfxp9Rv0RTmrsDaRoLrWzeyRJNKniQGJBrZON/ftuBveNpbhzfcD8f41XYVaVk2nldk6f5uWv6wI8uSPM2TPDTCvPdVNrLLFz5WGl3LUhSCCu8bs3R0ioOnOqnBzVVJin7AgkWV9gyLHUJRO0RA4OhNPsHE4Q0xW+vWyQpJp1+7xzfZAlzaW8tifA49sLO4smVZ1qr4Kqpnlpd5CecC7nZpdgPzOak4YEzKxy0lyq0BNMsWM4iZrX6H8mM3Qow7hs8a5giu++2Eu5yzYuDzwfh3plFbWYwAlTfDkq/EQeVVno9Wu9NmJpnVBCY3G9ix+cWW/eKwk+2258RQD4zPH1aKkkSQzOxdpYFvXN2u6I+Vp2WeLKheXct3GUJ7eHSOtwbIuPL51Uyz/XD/HgliCruqKs7Ta+S6puDAJ/98wGqv1ZsZfL5eLoFom739PMloEYP3lthKGMKn1Nd5Tz/rodr8O4gTh9mo9qj810gBVROyLWU9y3idosv670+XyUl3i56/JG3v9QD5GUxoa+OJ9/sps/Xj7D3J4Y8ATMZrhwmxU27z6fz2yGF7rfszaxU6mUGfUjYnDEcwRXa81SF6KrfLwd3KD1mB1Mg1sMqxZhrBU9PT0Eg0EaGxszLq7vPhQb40W8q3CwUzDW4tJ6AW7wG0VdIK4RTel8eEk5Nkniwa0hfr9qBMVu5+xproLb/M3KYTP70SEbltnbe4PMrDEm0VRV5dY3RnnvkTU0ljrMqf9freihZ8xQ13zu2Mqc97SvpouiKDRnFOO9YZXTpnp5fk+EFZ2xSTfGj2xwTviYfU2lejweU60tMlXys/iEglxMr0UikZwpsXQyzmkzyjix1UtvWOXRzcO8sCfCcFRlOGoQu1fMK8Gup3A43OaAgd0mUeez0zOWoiuUoqFcyyGIhPWUx+MxbWSs+5UPXdfxOSS+cmIVJ3an+PXr/ewYTvK5J3t5/xExLltQRSqZNI+HKEBE81koU57dFWZFZ5aQ+vaywXGv1VSicNYMHxfM8pPU4MYXBuiPqFR7FX56XjN1pcbwwM/Pref9D3SZxXGjX2F6hYPlHdFxVqML6z3jLLLFAIPb7c5ROQvizDqNJxqmosgRk4rWGzKXyzjn4/G4WSjdfFoN1z/QRSSl84NXBvnXdTNxWbK38zMRxaKsaRo2m808h4Q1vc1mw+f1cJhPYl6Dxnswvt8do3E2DyRY1xVi00CC/nCaXSNJdo0keWCTQc41l9qZX+Pk8MbsUImYMP772iH6Qz4+dVQFqqqSSqUYTRnfK79TRlYTSA63qQQSNtnJZHKc0k7AbrePu/ZomsZfVvbx3M4gsgRfO7GaKRmLXGsGY36ueD4Kvd5kMJElvhXRaPSAlUP5du9FGBgcHGR4eNi89og/1dXV7+rpzCKK+G/GwX53FUXJqS/EdlRTMS5zRL2Ltb1xRuMabsX4/ReOreTOtwIMRVX2jKb40jN9fOroSqZl1g4xlCbW7RnlxrptJcae3RXhI8c1EY6n+NMaQylx6bwSZtWVFKzjxACj1UZ9cYPHzFi+aE4Jy9vHP08oQzx2mTvXBYikdKaXOzh7ho9EWuPl9hiPbguxd3TfhMm3T63BLaWIxVJsHUxwxxrDAvHTx9bw2KbBnKY4wOqeBGdM8+ByOnh8awAwBgOXtWWJJg3YMpjk3Jk+fn5hK5GESmcgzv0bRkx1uM9h5CiKYyf+3ldTvKFEoTeU/rfIxnBS46p7u2gptXNMs4cF9UlmlNv5+knV3LxsgI39hddX0RSvdMsMx3J3MqXBA1vDnD/Tw3O7jeNw7uwywFiz6/129mTs1UucNkIJddIDAD9/Y4S/rA9w8fwKLp6p4VCMeqnSoZnb6A8XHtw8rdUJWppIJM0JrT6mljv40StD7BlN8qUnOrhmURlXztfYPZIkrcHJU7xs7JPYM5Lg2W0jPL3TIFxPavXwYls0Z5+f3T7Ke+aXoGLj8a2jaLqR41ntkVndEyep6vxqxTB3bwhw8ZwSzpzuo9zvNlW4qqqiqyoPbR0zhyys+O7LQ1y/MMnchtKcmlkMh4o4HsCMJXpo0wh/WTtKStUpd9v48kl1VDuzgyoi4kZsT9wHFRqKtOaem59zZqhRluVxrlyinhWvs697tkM5wFfpySXnt/RFWFhVtGz8d5FOp+no6DCHlsUfj8dDaWnhOKYiiijiPx9CGZ3eX1ZMHoQ4RqwLk3VwS6fT5nPm1zhZ2WU48rWWGY3xtuE4J06t4aRpJWzsH89VCSxp9DC7yklPKMXO4QTdoRQDkTQDkTTL27OP04GvP9fL5fNKmVlpKMt9ThuSJHHW7DLu2mAotkXEy/sPLxtXa/eH0zy5I8TDW8cKNn6DcQ1Zggtn+3mzK0pvWOXGFwbwKBLRtM6MCgffP6OGH786xNreOJ96uD2nbnMrEvG0bkYDRVI6X3++n2rvMP1ho672O2XCGaXwoWqKi+OzYyjBjiEj+vKaReUMR5M8vTMyjtPbV4k2Gv+/d/DLt/+3NsUni1+fV8dXnjNU2gk1ly8WApp4pp8pAwuq5ByVsvjb5XKh6Tr3bQqZg7kAXz+xip+9PmQOkS5tdPP1U2rxuhy8d3EZp0/z8v1XhugIiExyiSnlTn74Ui83nlxNmc9NKpUyeVG73c68Grj32pnsHo7xzWe66M2cI5GMU9XWoQQh1Ua1RzGzxMV+Cq5NOFQKUYyoHz0eD+FwGJfLRUWpjwfeO4Mr79pFKKGxczjF+/+1i79cMdWMfBTbFNsT2xY1XywWK3htEHVjfr1pPZ5Wfk/UmuI47IuvFFGjB8MP7u86JqzdDzSip8hVjkckEmHHjh2m2EvUlWVlZSa3/05GsTFexLsGYhL/YCAutuJCITJ9PB6FcpeN0bhKz1iKmZVOPnBEGbIM928O8evX+1H1Gs6bntt4HgynWdZmLFDHNnuIJFU29CfYNpRgSrmD+7eM8fe1I6jAs7tCVHkV/vfYCgajKs/vDiNLcMMJVfidk7NRE/YslW4bXodMJKkxo8LB83sivNEV5WNLy3NUR9b3OhpNsn3IWBSPzLNw3J9duIBQPmiaZjY3IWsNGI/HTZWsdWHLJ32EXXeVU+NDSyq47ohqLr9rNzoG6XJiq1EQZDOrDbSUO+gZSzEYl03SSxQIovE6kSJDTPZZrWpEgX58k4PZ59fzqxXDrO+L88dVo6zsinHDiXWUOXSzmIGsvXY0GqU7lOJPq40m7cLMBK6odavcMmfPKuE9CypRMI5TPG1Y+ewaTlDmkvnuaTWU2VUikQiyLFPjV/jMcTXc8rqhau4eS1PnV7j1vHoe2DrGS3vC5vZ/8Mog1ywsZUaVJ2dSLpVKmdOF4hhaCx4rCmVXud1us7EuhgCs1o8ORebn5zXxiUc6SWnwuUfa+f2F9aatO+Q2eZPJpDkZOhFZb1Xni8c0ljhoKXcxq1zGsS3McCRBXyjN3Go724ZV2gNJOoMpOoMpk1QFoyn+0aWV3LZ6mGd3hQmn4Gsn1+L3emnvNqw6a7zKOJcESTJsYoVCSEBYYqbTadO234oXdoe5Z6Nx8/fpoys5qsVvHmvreS+cGYS6sFDEw8EUhJMlPidjxXYw2303Qlh7WbM+q6ur/z/vVRFFFHGwONiMMiuRINZJSZKQFWPQSpYlrphfatp9i8bctEoHZ870c89bARQZtg8l+fyTvVwyt4RrFpbiyjQlRQ5y39j4htpQTOVD9+5kQa2H/rAxZPm+I2snVBeJNWdvILutwxt9Zt03v8ZFmcuWY9cN0FziYNdoEgl4drex1r7/yGru3xbl0S2jBDOPd9jAaTOy1PPxoSPKmV9j3IyHkxo/XW647JzY6mFN1xgvZeroaxeWcni9ky8/a6iCn98TZV51mk8fW8tvVkys6H9qZ5gtg21857RaZpTZuPG0el5oi/LzV3oJJzWWNro5f6aXb780hE2COVVONg9OPIzWc4hyJ3WgPZiiPRg0cztLnTJzKu1sHirsHPPZY8r53ZujDMc0ylyyaVUu8Nc1wzy8edQctDhpqh/SBglnbYyfM8PLvZtDmbpscmxvIK7xtzVD/H0tLKpz8T+HlfBWf8IkSQvx+zqQUHVcStZVanpNCb+6wMVvVgzw7K4w/3grwAbLds6bW4FNgrs3BLht9TBjSY16v51rFpbxYluUlAaKBC67TCips64vyQMbh+gMpqj02PjuadXUlrpZ3z3Gt14cIJ7WGYio/HnNKHe9FeCM6T4unOOnwW/n5pcGebMr9/vdWqZwWJ2Pp7YHWNkZ4c3OCGfOjPI/833U+IzBV/HdVlXVtJ0MxlVufWOYlRmi/+hmL186uR6vTcuxnxd1pM/nIxwOj6vtrModq+NEPgQJaSUUrY8V9pSSJJlDxFaIYdVDodSWJIlFtQ7W9hnn15PbA1y3uPyAlDrFiJ6JIYaFxXmiaVqxMV5EEf/FkDPr7r6UvoWQ7/CnaZrJPU3EcUEu33JYjYuVXTE29ic4rMYQw+weNoQtS2r3rSJc0x1lY1+M82b5+PFZtZR4PWzqDrJzOGEIFIaTZsMwnNT5m0VZXudTmFPjptGXyyGUumTmZ/ZD13Xe6ovz+PYx3uyOjasrzpzhY2VnlFDGLefUqV4+cmQF1y8u47a1IZ7eESSa1lFkuH5xKSs7o+waMY6J2JRbkbjuiCrOme7mka1B7lwfNF9H042GvF2WeM9hJVw428+Xnumjq0Ddtz+lthVOGXQp6/ZjRX84zd/XjxZ41r+PKWUOVE075Hnpk8GCOjfvXVSCR5H4+vMDOQ5HH3q0lyp3NsIpH6+0jRFPC65yvKurwFhC4/vLBlmdNzx714aAacN+eL2T757dgpZOmvE3z+0eM5viEpDSdJ7bZTgJvLQ3wmULvTnfJVHDRaNR6t3w50sa6Qsn+fTjfeZ+dgZTXHPPHhr8CjedXM2USkNxLoRFkiTlvAfRa7DyrKKeTCcS/POqVq67r52RmEZHMMV7723jr5e3IMvyuNpR/Fu4Cem6nlNTCY5RxCpM5E5ptVEXsNaVIsJUPDYfBztIPpn670Ct2g/WQfjdgmQymcM3H2gc8X8rio3xIt41OFgC0wpxoRBkQjKZpKnMwWhfjO5QmpmVhjr2fYvLkCW4d1OI360YQFWruXBW1pb4e68MoGNYznzx+Eru3RRkQ3+CXaMqaU3j7rdGsS4DQ5E0X39+wPz/tYvKTLIQcjONC0GWZdPWu7nEzrahBB6HjFuRGI6q7BpOMqvKaS541vf3WqapOq3cTpVn/CVDKGUnIjkE8StsYRwOh6lYtuacFMqmE/l/8XjctPaGbBH08Qfbcmi7isz+WbNPAOq9RlOyI5Aw1elCIZ5MJk0r7EKw2+05GeqapuFwOMx9NzIga3hyR5i/rh1lfW+cjz3UzmeOq+XUaVmbKEF6pTWdny0fIqHqLKxz8a1Tqnn/g90mKRxIaAzFdDpGoyxoKiccS3Dryn62DiZwK/DDs5to8meLC00zbOOXNvuA7DmypieOSwny5ROqeM88P//aPMYrbWFe74iyoiPKCa0erl5QSktZ9n0Le+9ntw1TU+JiZgV4XS7T1ttms6EoijlVaM1HFQ1Ru93IbRRkDWSLstl1fj68tIo/rxqiM5jkj2uCfPKoCvP5qqqaDQLAdBiwnltiYMOaZx+LxegdSxFOy9j0MPdtDrK8PZpzbrSWO7n9Pa0Eoik29EbYMphkfU+YncPZc+5va4f53LHV/OaNQV5vD/OVp1J8/5xmBjMWsU1lTrPQFLniQhFvvb4Uauhbv5sb+uL8eqXRbL9ifglnzfDlEKr5iMfj5tBBIRxMds9kG9iicMxXH+3v8UXsH9ahkCKKKOK/Dwc6kJQPQUaY20sY65HDJrOg1snMCgc7R7JrlCJDLGlch8+a7iOQ0Hi9I8qDW0Isb4/wmWNrOKLeuKYEwlF+vXKEQtgzmmLPqNFw/ejSCrxOZVyNLJpw4udiQFKRYUaFAy1tXOvjKZV4pnNpbaWmM+uSyCWv99v5zgvdZpOz0iNT7VHYNpQkqWrjiES3InHJXL95nH7zxjADEZVar41gwrARlCX4zDGVXHRYNalUir9f5uCDDxsZfFsGkwxFhzm6wcHKntzastwtM5pRVbcHknzwoU4umFPKNQtKOLnZgeukan68fIhV3THCCRUJY9+2TNAUt0lwdIuPoUiajkDcVLMUgtMmIUmYhNlkEUxoOeRhPuZUubjx5Bq++WL/uKY4gMsGo5mfex0yg5E01U7MWljs2/8sLGV5R5SesbQ5SGvFvtrlmg7reuOsy7M2dStSjupabCOW0in3u1FV1azrZF3ls8dUcnijn1te62Njn/Edk4FKh8pFc/w8vDVovpfLFlTgcztM15/DG72s7Y6g6vBy2xhreuI4bRLfP7uZ5mrjPmx+jYtfnVvPV57tJZjQcdiM/Xts+xiPbR8rcOwkfndBPTUZl7ALZ3q4e1OIV9rCPLszyLLdIc6f7eeqBWX4M9aZoj5e3RniRy/1MRJTUWT4wBHl/M/htZkBa0MNLtyHxD1PMpkcZ9OeP4S8v7qvEIkpIO7bRPxPPnRdn/C5+8JEjfS5NW6zMT4S00xl/GTrykL3h0UUhrBRLaKIIv77oOs6UuY6qh6gYlzAyr+I/wt3u4kgeLPDao0aZ8tAnHNnGs2QzpAhRKjxKUwps+cMSYKxnn/r1Gru3xJmU3+Mh7eO8fTOMJfOK+Oi2V4W1hl8pSRJpCQ7f1rZz5PbQygyVLhtDERU+sJp+sLj195g3BCG1PvtrOmJ0jOWXS+stt2lTpkVHVHCSQ2PXSKa0nlhT4SWUjsXzPbTFciunWkNvvXieOW7BNx0cjUL693IsszChhKk9cFx9U5K02kfTfLxR3vG1WQy8IljazljqouPPNzFkCXGSJGycUlWJDSo8shUuGX2jKbGqa7fLuwNJCkQ237QyLdRnwh2Gb59RiPOjBd6U4lCcDC7vo8lNMYyxzWUV0zH0xq/W9Fn/l/Xs06W4n5K13U6wvCd5/fSH07hsEn4HTLDMRVZgt2ZmKq51Q5uOqWWdDJOKKGypifM398aZSCcfU2d3Jr3z6tHiaZl3rOwHJc9y4mLbHOBSEo2a/yp5Q7aMs5YPWNpPvF4LzVeG185sYrZVS7zuyoER0LMJoYXrbyaqLFcLhd/vaSBjz/eT+9Yit6xFNfe287tF9fh9/vNfRERQR6PxxShiVpKURSTQzWP7ySEbhM1lcVA9kRcZiwWm3TNZ8VkOM5EImEOA02Wqyw2xyePd0tdWZR2FfGuwb9LYFphvflvKjUaiz0WZY4kSVy/qIyrDjOmtv/45iAPbzcIjtXdMXaPZDLwFhgKnzlVxgVnc3+UP68N5UwN2guIwv+5IcBdG0IZ1bqh/I1GoxMuHtbmi8gZH4pLLGkwFOBvdMVybFaEIhiyNupLGwvbrYs88UKw2+2mtaCAaEQ7nU7zQqvrOtFoNMcGBowLsWhkC7W2pmnous7vVwcZsGRaOmTwez14PJ6cfGu73U5TJgu+YzRhFhli4RT5KaIxbm2Qu1wuU+kbiUSQMtbfiUQiJ1NdliQumO3n1vPrmVXpIJLS+dHLfXz/pX5TFSWKkrs3BNg5ksTnkPnfYytxKjJ3XdHEV0+sYm61k7QGz+wI8tknevncI2185tEOVrQbaqt4GrYNxsypPI/HY+Zzd43k5tEAvNYR5dY3hmkqtfOtM5v59QX1HN/iQQdebY/yqcd7+cWKUYaSxqCApmkkUyl+/+YINzzZxa6huJkz7vF4zIZ4JBLBbrebRZuw5Y5EIqZVvhWpVAq3200kEuHSuX7zJun1vSGTEBVK2lgsRjQaNRXh1u2J80nTNNPyXZIktg3G+fQTvXzpqS4++2Qvr2aa4se0+ChxGufm8nbj+HgUnaUNTj52dDW/PLeer51QZW4/oUIwqfO9M+rw2iW2DCb4/GPt7Bw0nlvllsxmwXef6+Sqe/Zyz9peEonEpPO4O4Mpvv/yAGnNUL29d3GZ8doTbMPlco0ruPPxdmbkiBuOyTZwxQBOEfvHu6XQLKKIdyoOxcClFYIIVWyGE8nl83PzY9/siplkS5XfyddPquamU6qp9hrk4k3P9/LDlwcYjqa5c32A3rE0iuVy7HeMr9XuWBtgT3/QdH0Rg5b5+XOdmezmGRUOU9EE8MKeiLlPVs6vPWisS9GMt3XvmEH4za50cMkcP5oumVneraXKOHVNPJMxCPDsrjDLO6LYJLDZZDb0xXEpEt86tYYzp/tMJ6L6Sj/3Xt1Clcd4nwORNOv7U+S/7VBM49wZPo5uNtZcTYdHtwa59r5Ofv7aIF6HzI/PbcZrl9k6lCUPJ6KpVR12D8W5+cwGbjixruBjKlwyEoZK+kCb4pPBhx/p4ddvDLG4rrDdnVXQPxRV+fD9e/jr+hDhhEpv5v6lwqNQ5vdxxYIKIJuvbsXB7Hm+FblQiUsOl5l9KO4BhM3kadO8/OLcepyZndCAB7eE8NoljmnKuEMBJzTa+d3KYVPV1TEaR9WhxqfwzA5j+OMLx1XS5DXuIQRJ2FRq5wdn1lHqspFUdRp8ckFS5LRpXv519RQaK4z7C4/HQ2uFiy8fX8nvLpnC4Q0eUprOw1tDfOihLu7ZECCW0pBsCndvCvOVp7oZiak0lzr4xTn1XDynhFgslmPFCVlr9FgsRjITxyTuR4Sj1oHCug0rxH3jobaSnKgxPqsqt9bpHTFyNSdbAxUzxiePYl1ZRBH/vUgmk9gyl3r1EF73JtMAikajHNZYhtsuEUnpyJnCpzOQIJUp0I4ukPWtY6zNv7ygme+cVsPMCgfxtM49G0b58MM93L81QloyBt8ULclHl5TRUmonrcHSRg/3vKeJ751ew0eOqub4lvE8yOqeOI9tH6NnzBhSbPQrTCu35zRhx5Ia4aTGzEoHf7iwgWsXGvzrX9cF+MJTvWwaSOC0Qa1vPEd15nQvJ07xoQO/fXOE7UNxbn6xjxue7DTrnfza+bXOWMFBRQ0oc9u4dcVQTlMcCjfFBYaiKjuGD74pbt07e16p0FSiMBErc5CzFwXxz2tm8LsL6nHsx8w0pcFXn+7ipb0xOoMJNmea4g0+2XT+FBiNa/zmzVFkhwuXy8UjO2IMhNNmvJRGlgOLxQx+9Pm9CT73aDv94RQNfju3XtRiDu+K99tcovDxpRU8ti3EV57t49r7u/j5a4NmU9ytSJw9q5Rvnt7Av65q5ncX1LOo3k1S1fnrmiE+fH8by3cNE41GTe5S8JWyLJtOT6dN8/Hr8+t55H0zTQcGMAaGv/h0P9c/0MXWEdXkrQUPLgYhRTNZQJIkk5Oz2Wz8/appNGc47uFomusf7GFsbMzkEwXXLXoE+dGwhTjb/aFQLaooiing2Rcnub8BnXwcCJ8ohFuTtfzOd/IsojBkWT6o8+S/EcXGeBHvGhzKxrgVTSXGRb47lDdBKUlct6iUqxcYxdltq4Z4cGuYX75u5COWumSuWlAGwOwMadAZTPHkNmMxPbzeSZlLJqXCEXW5xEZKg39uGOWXr/ZOijCwLmItmZzxXUNRTpxqkK4rOqM5x8dut+N0OlE13bTyPLJx4safsGGyvo7ICp+oGBeN0PxmoGjCAqYqWdhyi8X2zY4xntgWyHme12EzG+xialAUAlOrjO11BoxJ2FQqZZK+oikbDofN7GyhSo7H4ySTSdxut5lxLYoMocaworHEzk/PruO6RaXYJMPu5zNP9LKmN0EymWRnEO7bZNjxfProCqq8xkJjkyVOaPXy07Pr+OV5DZzU6kECNvTF2BtImZmJOnDL64N8/OFOUqrxXkUedSBZuHh4YU+Ev6wbQ5IkppQ5+NpJ1fz6/HpOaDVuAl7cHeKD9+1h2Y4hnE4ne4djjCU1nDaJ+Q0lZqNTEJaCKE8kEmiahtPpNF0GxLEVRJxQ5ltt/lwuF8c2GUXLcEzjrcE04XAYVVVN0lE0n63H2ePxkEqlzPcsBiVWdUW5fV2ARFo3byhOnurlT5dN4caTKrnplGrz2H33uU7z8xPv6/gp3pzjtaozzBHNJfzorDoq3DbaAyle3mu851qvYh6H1zpjhJIad6w1zkNJkvD5fKb1eKHibzSm8u0X+4mkdOZWO/nCcVU5EQZWEtNms5lF5v5uaA+GCDuQbHJBWIvvhRgQcblc5ndDFPJimKWI/aNIYBZRxH8v9mVNedDbzKxhImPy2GYPdRYi795NIcYySlk7hl3y0U0efndBA1curECWYHlHlI8+2sOj2wz1jZWM++LxleNes3ssxUce6eF3r/UQi8XMtdWKsYRKNGM9uKTBnc2w1HQe2GzUrHW+XJLBugUJOGWan2+dVkuJy8bD28YYjak0+hXeM89vNtHzn7+qL01HIGlGz7gUmZ5QijKXzI/OrDWHOwWi0SgOm427/2c6c6uMtTSh6uOyslXgqV1hEmmdX5xTx+zMY1UdlrVF+epz/fz81T7OmO7Fp+zbEtNrNz6r/kiaG57o4LdvFM7gHIlr/1b2+GTQG1ZZ3bPvZqddhoW1DlQdHtg0ynX/3MWeYeM8liXjGJ7U4sTvlAkltH0qipQCv7Pb4Ih6F63lE9uuihSokVAkxw1H1BUiV3tWrR+3hY+5fe0oP3x1mIEM4awDd28I8krbmLmf/RmHgqGIcU6994gqzpxTlWMRKcjG2XUlfPe0GiSgJ6zl5HWK7b24J8L197Vz+6pBegNRs971eDzMrnZx86lV3HxaDdPLHURTGv/YEOSDD3Xxvnv3cPf6YXTgvDll/OGyqUyrcOQMlIqonXzbczEMbLPZ8Hq95vDzgZKKQE78k9PpxG63T2qg52CUNBM172dU5J4L33+533RVcmVcqWRZxuFwmEO/4o/b7S6qxQ8AxbqyiCL+exGNRs2BtEOtHJ7McFUiHuOwWoPb6g2l8dglVN2oEwGOasrlvUTdt6E/wZ/e6GdJg5tfX9TMjafUMK3CSSSlcceaIa6/t437NweJpzUUWeLjS43hu6d2jjEQUVlc7+bqxVWmSn0i6BhxgXtGc9cnTYcpZXauX1SKyy5z9cIyrsnwrx2Z+jKhYuaDS2QH/15tjzK7UqHUKdM9luaLT/fzRlcMWTLiDgEcisR7F+UOqgpkEozMpsr3X+xhWZshqPAWGEY9WNgkmFlhp9Y/vkllPVVSGjmN8J6x9EHXnrVemRnlk2uKXXP3Lu5cHyA5gWDXOmi5cyjOz5YP8InHsurv02aW894ja/nTRfVmXQ3w9I4QF92xndtX9nLPeoNDF0OtYKx5qmo4V/38tSF+tbyPlAbHNLv5xbl1TK9wmtbpYNSfKQ0+92Qff10XYPNAAnHLY5OMCKcHr5vOZ44q46h6Ox67zMxaP987rZobjq+iwqPQM5bmmy8O8JPXhukPZd1IbTYbO4fivN4eRgKuzAw3l7js3HLxVJ54/yyObvaan89oTOVLT3Zx8d928GZ3wuTQBGcq+DYBUTdFIhGzhvzjJc3MzPQRQgmNa+7vZjgwhtvtHtdUF9GgXq/X5I8PVMySz90Li/b99Vn25Ww7EXRdn3SjWwycqqpqOjKKQW8rV2l9/0XsH+8md8tiY7yIdwVEw/TtQEOmMV4oW1CSJK5dVGZOLt6+ZticMPz6qQ24XC4cDgflHjsNmUJHxyBkvnR8FWdONwpEYUH37VNr+MzxtXgyBcNHjiwzrd0ni+ZMY7wzmGJxrR1FxsxchuzEVSwWY8+YRCSpUeqUWdDgNxcV6/uz3oSLRqnP5yOZTE6qQWZthFt/JvK4Rda1eD1dtvONZ7vHbcfrkM3Xk2XZVHSrqkprhfHvgYjKaChsLpIOh8NsRLpcrhyVuTgOoqmbSBgFSywWw+v1YrfbCzbHbbLEB49u4NYLm2kptTMSU/nWC3385JU+vv+CMX169swSTmjNbcgKLGws4ZNHVzKtfGICrCOU5vw7drBhMG1aeQ9HjM/PLsOFs/05j39kyyi/e804Zk6nk6nlDm4+u5lbzqvnmBYvug4/eXWQXy/vYW2vUdjMqXGRTiYYjab4zZujxFJ6ThNA2J4LglwMLaRSKVKpFF6vN8cCSJw73cNj3LUhZG6nviRb8AgCTzTgxXkdi8VyCi5V01neHuHzT/Xztac72dwfN5Rkma9Bk19harnx2c6v9VDmMs6fl/dGcDqdJula6PzsDhk5Q/Mby/jp2XU0lTpMB4e0ZuTyRFXZJMqPbDQawpFIxHRPcDqdpk2PQDyt8d2XBuiPqNT7FG48uRpHATmWNVN8MsM84rt6oBAZlAcCYZGv6zqpVMqcZhWF+sHuy7sVRQKziCL+e/F2XOvSmTVJyXTlbLLEebOyRGE4qbEzk4notktmzEZFiZePHlXN7y+dwqwqJ4kJpCl1fsVs+B3T5OYzx9WgyEbd+cCWEO97oItdQ7Fx0+F7A9nG1BGWxvgreyP0R1RKHBLqBI5FdhnueM9UZlc6+PErA6zqjqHIcO3icm44sY77toy3zxTDAM/sGOUnmegZmwSRlEZTicLPzqljRmXh66eqqqTTaX59yVTOmGbUZ9ajIUvw+eNrcCoS63tj3PTiAFcsrOLzx9eYNYQEdAWTPLJtjHAB8YNLAWemK2wl3LpCaUZjE9v4tZY5OGO6l8UTZHX6HTJXLyjlmsWVHNfsoaXUXlC1/e8gpcG2oRRnzCihoUQhlMg27AcjRvZ0icfFhXPKgFxFkc+RuzOFTrOUCmt74wRjaXMb+QgkjCcOxuWcezNBbFlrzWDmsadM9WKXJV7viLCpP0toPbHDOH+uXFjBPEvElKbDCa1erj+iEkmSzHpUkIMOh4PbV/by2Sd7c84PmwR3XVHP3e9p5oNHlFPjNY7RvzYFee997fzyjVE290XM77/P5+OkWdX85uJmvnRCFWVOmbGkkV0uARfN9vP542vQU3GcTifxeNy0kxTNcGEDabPZsNvt6LpuPjYej5sN7YMhp4Rjk8fjIZFITKrh7Xa7D6oxPhHRWOqy5Sj1hFOEeI6IhEomk+ZQs/hjPU5F7Bv5JHoRRRTx34VYLGYORmqHUs7L5BWSc6uMa8iWoSRTKow1tSdsNP568kRAJU6b2eS7b3OQR7aH0XWdE6YYLopfObGKphKFsYTGHesCfPjhbh7ZGmJOtZOTWj1oOvz+zREC8TT3rB/iO8sGcra/pMGFP+P8d2Krh2+dUk25q3D7Ym8gxTdfHOSqf3Xyycd7ebl9PO8rAadO9fC3K1q46+oZLKxzE0/r3LYmkKMAn1/j5LcXNPCd02rxOWSGoyp3bwyN2x5ka6RCFXB+FM2/A1WHnSMp3IrMjacUdiYSsJ45kz2NZAkOq3ZwWI3TPOb9EY1do5NzJUxqhgOpgC9vKEDV4TcXt1LhNs7DfPX+XeuG+cgDbfzv0/2mcEggrcHdG0OkNWPQ7siGbP0fj8fZPRDmhmcGeH5XCFmCDxxexjdOqkbTdf6+JndYNaFCXziNIsNhtW5zP8vdNm69qIVrltSiprNuoh6PxxSFnDLVy+2Xt3LFAmMQ+ZW2MB9/rIf7NwcJR42M7n9uDABw0hTDmQgwVeV6OsFNJ1fxxHunclKr22zEhZMaNy/r44K/buOJrSN4vV68Xq/5/vIhSZLJX2uaxm8vamF+tfH/SErnuge6Ccey/QHBbQvVuBCBCc7xQBGNRvF6vSZXf6AivQPBgda9Ip5I13Vz+NTKVQon1CImh3cTV1lsjBfxroDVOvtQoz4zLdk9VrjRBnD1wjKuslhiVrhl5lfaTEWyw+GgtSx7M3v6NC8lLoWjLPblZ033cvy0Ms6e6uLeq1p44v2zcDscyLK8zwUpP5eutVQ08o3clcX1BnH4RqexSNjtdtPKZfmeAGAQoTZZMhcV0eT0er3m5Fg8Hjfzw60K4MnYb0SjUZxOpznJZYVYuBOJBIqi8L772nKKvOmZBrLXkZvDEovFzG2VOmV8DsP8sz+imeqDRMKY8hOTY+I4qqpqkjWQnUZMpVKmsiOZTJq/F414oZrVNI3WEplfnVfPJXP9SBiqk6GohiIZBF6hQsThcDAQCHPj8/3sHk3hcxiqqE8fV0u9P5fs0HT4+jPdfPmJdmLJFMGksGCV+fxJjWbBad6wbApy76aQeRw1TWN2jYcPLalExygUH9k2xtO7jCnXhfVehqJpvvZcP09tD/Lz5X3jBiMEkQWYn7NwDohEIqbKWDS6dV3ntjUjOTcKVZbDEIvFcvJuxDESE4MpVefZXWE++VgPP3p1iN0jCVyZHNK/XNrIF06oAeCejUHe6ouZhdFNpzUa2wF+8lK3mV0uYFU9jSU0kxSs9SnccmGLeQzvWDvKWwMpvv9Cl/n4zx1dnpPbI1SEVoJK03V+8dowO4aT+B0y3z6thlLX+BvU/GM7GbhcroNSaIu8+CL+/2F4eLiori+iiP9SvB2NcaEYVywy3RPyrCVFZrdozIpJ/Xg8TqNHZ17V+Kar4KduXxMw66eRuM7Z09w8eN1M5mYIleGYymee6OXHL3bmrEFrMypkWTJIKbfbjabr3LfZIArddpnBaPZaZl3evA6Z7y/r5Y+rhomndebXuPj1+Q2cP9PPF5/MrqWQjSZa2uRGArYOJMw8S1WHeTUufn3JVOr9E6uRATNu5Wunt/CJY2pyf6fDjCo3f758GrOrHESSGt9/sYe1XWG+e3oNNV4bOkZdUOdXcBVYJuNpJhw+2BeSaY3+cJr1/bkKWJciUelRGEtq3Lc5iEPWufbwSr5/TjP/vGYGPzy70RzwOxRIqjrP7wrRE0rnKIuSqs5NT3fQE4hywWy/qYQSqPXaxv0MoCyvF1fmgEBc4zGLs1Ohvf/uC9187NEelu2NmYSd3W5HVVVsNhvbB+MmwfvRJWX89Oxa00JTKL40HcqcMtcsKMVnURlNr3DwqaVl9AyPsb5jhBd2jBCKGUqS3cNxzr5tWw7RLQE2jPPslhUBnDaJy+aV8I+rZ/DN0+pZUOtG1eGFXSG++HQfNzzdyzNbh0ipmnHPg401PTECGXLdJhk156Pbx/jEg3vZOKSa9yj59Z2oOYVq2nrP43Q6kWXZHOY8kMancG0SThCTxcHG89jt9glJ1lmV2e+spkM4PrnXKGZATh66rjMyMvL/ezeKKKKIg4ShGDfWsUOduDLZxpSwfN7QG6XJZzxn91CMvSNxfvtm7vVlbyDFkobsQNqfVw3z7M6Q8Vq6zpmzK/nTpa189ZQG6nwKgbjGn9eM8pFHuplS7sAhw7ahBO97sJs/vzmY4+5zzYJSvnNaLd84qRpZMpTdL7VFGI3nrp+Xzi3hg0dWcUyzmxqvgg50BJLjnDwBppQ7mFHpZDQByWSK1lIlZ/hQ/LM7lGLHUIIHtwTNiKOJFPwHMr/gssEJrT4um1tCtXffgwq1XptZ71ixdzTJ917qK/CM/WNfZ4Cmw55AiuNbPdx9RRO3X9bMJfPKzDibA0U4w/VZX/Nnr/RwzaJyADNqEuCcWaUcXu/CrUiEkxrtlhz7/FffNZLkQctA7dM7x/jCU73sHU1Q7rbx5ZPrUex2vvJsP9fe18Wd60fNx3odMmfN8PPN0+v5zhkNtI0mCCc1mksd/PqiVlr9khnvI2owwX2LBqGip/nEMTXccl4986qdxNM6d6wL8Nkne3li2ygrOmNIYMapOhyOcTWV0+nk22dP4akPzODcmT7zHIymdH6xfIBzbtvKP1b3TdiUFEMu4jstyzI/Prve/C4mVJ333NNG71AIp9NJMpk0hXTi/YmBxAPloYTAKB6PT7q3cjBqcYFDrVbeX9+kiFyMjY0dcne8/1QUWfEi3hV4OyeDaj1GbmA0pROIa5S7Cxc6bZZFfiSmcfeGANcsLAOMBu2uYYMok4BPLK1A1XT+ui5gPsfnzi6sHo/HmHqCcYuSVcVrtSgUqPTY8NgloimdnrEUx7X6WN0d5Y2uKP+zqAJZlpEkCU3TWJ3JFz+mxWdeFIWaVVhpQ+7xFY1zaxNdLKD7IlusF11FUUgmk6Ziwu12Y7fb+f6LPYxk1DhyhhBbWOdi92gKj102bawFxOvZbDaaSuxsG0rQF4WW0mxOiyCMbDabuQ9iSs+6b26322yY56vErc1cAY/Hgwf4zAkenLZeM28mrcMnH27n5rMaWdrsN3MGnU4nY0mdrz3Xz95AihKnzPfOqGVauYOFsswFs0tY0RHmwc0BNvZlX2tdX4Jr/tXBwsyAg9MmEYvF+PGZtXzo4W5U3VD5hJM6d64fxanAFQsqzeZtdzD3/IgkjONb7YKvPNtPfzhNpcfG+5dUmWpwYQUpSZJpcygIu3Q6bZ6TIlfcbrfjcDhY3RXh5b1RJLLTrF6nHUlymGrxSCzGDU/3c/YMDxcvMDJPo0mVBzeN8q+3splNPofMZYdVcM50FyUZX85zZvtY3xPh+d0Rvv9CD3++Yho+m8bsCp1Sl41gXOWF3RE+fZRxXuq6jizLVHoV014rpRmfpyDjdCRzX5MafPO5HvP/igyVpV6z0BS2/OL8F+ffX9cGeL0ziiLDjadU01iSS2wKC39x7orBlP1dtyZSaFvPa6fTmfN+rL8/lNdFl8tVVIsfICKRCD09PTQ0NLxrbIqKKOKdgrejrhQEXI59teXa4HfIjGXIJmcmh1y4f8TjcbYOJnh0+3gFtphFezNT09kk2DEUpzMi0exN8vNzG3m1PcrPlw+QVHWe3R3hja4YN55czWF1HjYNGLVRjVfB7/MyFo5w5/oAHRmnIWFfnbvPxnsJxDUC8Theh8zHjq7hvDllhMYiXH1/Z47CZlaVk1CGKDuywc2GvngOOXZci4cvHleJkzTOTA2yv4ZfLBbj/Blumkoa+MazPebPv/xkBw9dP5PfXDKNO9cM8I/1I7zSHmXLYIKPHlnO0zvDrO2N0zd2cA3CidAbTtNbQIIeT+vEM/VCWoM71o5wx9pcAtouk1M7FYJNgjK3QjCenrQNa/72VnTFeKOrmw8trWZmlYutA9kacfcEyqFACj5+VBV/eNOwuQwl4asn1fDQ1hDbB43nW3fH55BN0rQ7lOLnywf4lQQtZQ5mVzmQZRvBeIpdFmXxDc/0E09rZl65TtbiPpDQuPiutpz3snskydX357pLnTXNzabBfnrGcgnz06d5+MJx1Wzsj/PtFw1Xg58sH+Trp9SRTMQ5qsHBcS0N7ByK89j2MC/uDrJ1MMHWwQS3rx3l6CY3a3ri9IXTyJJBiF46r5THd4S5b9Mou0eTfO3pLhbWOnnf4eXMrck2j4Vzj/UeSNTWgnjUNA2Hw2HGVu2vWSxyFq11nhhe3p8tudvtHlfL2Ww2Mzap0GOEy1YsFht3fyQws9LBqxYF389XDPOtU2v3uS+TqYOLyEVvby8OhwO/37//BxdRRBH/MRADfWbG+CFWjE+2Mb6gsRSHbYBgQjOH+PeMJljRGSWe1plSprA3YNQCSVXniAY3q3viOGyQVOGWFUP4HBInz6gwOcgTmuwc09DA87vD/HNjkKGoyp3rA+ZrqppR46Q0mFpup200Za7nh9W6uP6IKv62ZihHBS4B3zy1mmNa/DidTgZGXdy1IcTj23OV3XZZIpU5lm2jSf68OgmM5jzGrRiPEXVTIK7xyxXDkzpe+XDaDLGJdT8dNomEqhNX4dhWLye3uPjo0dV8/vHOHAcVK/ojKk2lDryKxO7RxKRqOoecrfcLYX+biKZ0/rhqlH+8FaDKo5iDqS1lDj5+ZBmarHCjpZaeDKyvuXc0xa6hBJUeheGocQ75HBKfPcaw1k+lVdpGkyxri/BIJg6q0LfAaqX/m5VGrVzlUZDQ+dFLvRPuy/3XTMXpcPDs1iF++NoQKc2INvzmqTWUucDp9Jj24oKXEfUPYOZ7JxIJ5jWU8tNzXSzbE+G21cN0BlP84tV+AI5qdNNSloloyuPpRV0j3CW/eHIjN5wi8YfXenhom6GKT6iGkOhv60a4dG4JHzmmjlQqZTqbCuWzuP8Rf3/ntFp+/OoQr7ZHSKo6732oi9subqClutTkJAVXKRTnsVgMu92+37pSCJ2sfQUhHNsfCrlViNo3Ho8jSdI4HlEI0UTkzqGwPpckqehAdIDQNI329namTZv2jhdUFRXjRbwr8HY2bHweFzXerGq8ENoDSZOQnFFhNMXu3hDkrrcC6LrOpr4Yg5mGnyIb9pl3bwiyZTBhZvE9tyNINJEyVdqFIBZuYfVdiDSUJCnHTv34KcbN8/ahJGOqzbRLHoikaQ8kkSU4wjINKmwIRQ6ggGjueTwes2EuMv3S6TR2u31CwiQfYgEV79Nms/HizgCvZApip01C04289GqP8VivXTbtzgWEsiKZTFres7FNkdlnPW4CoqFoPa5CzZxvZ5i/iCuKYlohRqNR2gZDPJYp0qeUZTMvv/JUF79Z3m0SXr2jET73SBt7AynK3TZ+eKbRFAdjUdIkG26HwsxKZ07mKEBMhZVdGcW/bHzeVV6FTx5t5ImGk7p53v159ShP7wih6zqapuWovABG4xoScMe6UfrDaRpK7NxyYSstZU4URcFms5m51+JzFjk31rxEt9udo6gPRWL88lWjWF1Yb5CCNil7/JLJJEOBMB98sIvtQ3F+/cYI23qD3PFmH9f+cze/XdHPUFSlwm3jg0eUc/uljVw130e5xzhGgkT8+NIKppQ7GI2rfO/5ThJJ4zt5w/FVxrEE/rA6YCpzUqkUJ0zJJZCsxWFXwCjEqr0Kp07zoerZ6eBFtS5sNhuyLJs2RQJutxtFUXhyxxgPbTU+/y8cW8V8i9WnGPiwNtEFotGoqbyZqGmarxYXhaUoIkUBKM5bkTck1Psi+uBQoDiBeXAYHR1lePjgbr6LKKKI/z+YbNTFgUI0+uyWznjSIhsaS2qmemJdbxyXy0U6nTYUAIqDW1YM5ahX7DJ87YQq/BZLw0qPjaOajLXl0S2jpuPN8c0u7n5PE0fUG2tUKKHx5Wf7+dGrQ3QEjLppWrmdu1b38ZFHunlgi7Guif2xrlLxPKmTTYKbT63mvNmlRCMRPvJIb47i2u+Q+fQx1WZjsdIt0xXMrsOXzi/nKydU4VRksx4DYw2czBp2RL2LL1ny1aMpnavv2U0yEeeDR9Xx07PraPArDEVVfvDKEG2jk880/uRRFbgnEPHW+Wz8+eIGbiiQ7S4glCJTKxwsqnNR4pTH/Q4Mwnh/K6yqw3B08k3xiaADt60azGmKC9hlzDgnK/6yesg8BzTgR68MsGOwMJEVLsDcqrpBWj+9M8yT24O81h6lP5Kti3rG0ozEJn5jk6k+nt0Ty2mK1/kUHrqqgS8cVw3AgloXN5/ZiF2GFZ0xfv7aEGlVM+97ppYpfPboMv56aRNXLyilzGVjKKryxI4wfeE0LkXiiyfUct3icir8bj5wVB13XDGFi+f4scsSG/oTfPHpPn706hCDceNczr+fS6VSpmpc3FMAZgTUvoboRC0q7j+sNZmo+fbXHMlXs4vvl6hJBXkp6knRqBffyYnuT2fmRR8IF4p9oUhgHhw6OzuL+ZlFFPFfBnENFVbq6r+5jlths9km5UQnyzJoaeZknIc0yeDYNvUn6AimqHDbuPHkmpzaxC5LVHlsJFXDglzT4cevDrGhN3eoaSyhMRJTJ2z4pzTw2SUOrzPq05DF2vy6w6vGqaffu7iM46aUEkuq/P71Hq57oCunKV7htvGHS1t55sNzuPOyRo5tmjg+LpbWD6hu8tolppU7CzronDStJKce/tCSMpZYHEB/s2KAYFohmda4Yp7fHIQohK5gku3Dk2uKw76b4gIFROjjEE7qZlP8uGY3nzu6HElx8NdVA/t55v7x9K4xrBqyjy0pN0UcNlliRqWTy+dlXVbPnWGIlRw2aZ/OSUPRNINRFUWG+TUukz8XUCRQ02nufWuIH706SErTOa7Fw88vaMWfieMUAijxXZRl2WzOplIpk68TwhTFZuOUKW7+cGE9J7VmOe63+uM8sjWEmolgFPy3tbEsajnxeu87opyHr2nlo0dloxZTGty7OcQ5t+/gj6tGc3hGK1ctGt2KonDT6Q2cOd04ZmkNPvRwD22DY9jtdlOoJN6XcALdlxORUIiLqBsrrHnjE9WmYmjSCuE0m0qlsNls5rCliDkVwjjBxx6sDXs+hPtSEQeGZDJJR0fHpN1M/1tRbIwX8a7A2z1x3lRmLEz52TsCP3zFUFE4bRI/O6eODx5h2Mj8c2OQv78V4OevD5mPTWlw5/qAqTD+zDGV1HptjCU1VnRnrVAKTe0ItXgkYthhi+ZYPloyTeL2QIpKj8LsTAH82t4xM4Pv1d0BAA6r81Dp95jKb5H9HI1GiccNYlbkbQNmwSD+nZ9FvD9iRzxPwOPx0D0Y5CfLs8dIZN9cMreEaIZc9bsU0/pGKCJE0WC325lSaSzce4aMfRCvIbJWRHEhSFdVVc1sGbE9u91uFhOQO0UI2WxL8f5UzbDQjqZ05tW4jLylE6pM0vvBLSE+9WgnuwZCfO35ATqCKSo9Nn50Zi2z60vZNZLk3k1Bvv5cHxffsY2vPtXJg5sD9IUN+8v8og9gLKmzfcggpi5dWMPCWmP/do2kOLHVKMx/9doAb/Sk8Pl8dAXGk1iSBCMxlakVTn52biNl9myhqKqqmbsjlPLRaJT337eXvnBuASMWUEVReGBrhL5wmiqvwrRS49y12yTTgWAkpvHBh7sZzBCh0yvs3PBMH39/K0AooVHvt/Opoyq47ZJGLptXgscu5xSF4vN0KTLfPKMJp01ifV+c+zYb36Pjp1eY580zu8KmYt7hcHD94VU5738oHDe/X12jRjFX57NxwwnV1Fqsr2p9MtFMsSfOf9HMjsVivLxzmD+sMiZZr19UxslTveZjxODKvgo060SnICCtsKpzhGJH7EcsZuTECgW/IC7zicbJZo4V8fahr6+PUKhwdlkRRRTxnwcx8Heokc4QhjZrYzzzM2FnKH714p4InUNZdfjtq/rpCuXu00/Oa+T4KV7OmpHNKR+OqqzpMdatF3eFiKsSkUjEaHopMjefXsu3T60xSchX2saIZJap1T1xbl87atq5yxLMqzbWYLc9a3GdD1WHP68NklI1bnimn+FY7n7+73GV9GSGFltKFb7+/IA5JABwaqsTt8uZoyiIRqPEYrEcYmYiKIpCSUb5JPZvJKZy+T3t/OKlTm5fO8pwNLs25lt1WuG0wQVzSs3/b+yPkbC8Ha+ladwXNlRRZ8+t5j2WOCUrzsvkcEtIfO/0Gu65soUPLzUatapu2G7+46pWbr+00azdrWjKONDk39B77BINJYc+bzilGYMFhX6e/9NDOSpnl8f/WybPXWGSUCS45dxa7rxy6jhCcH6VjW+e3oAiw0t7xrjljWFUTcuplcrdNi6YW8bUitxmbzyt89NX+/nmi4O80TFGMpWi1CnzsaOquP2KVk6b5kXC+E596IE2fvZyD6GUlGPTKSBsLsX9nsioLKT43ldD3AoxpCzqVEGS5r+u+JlwhBJ1o5WoFPVk/v21uHfKx/SK3J+pk7BTLw5bHhyEwqdIABdRxH8PzMZ4Zk1TD+H1T5KkSd3vOxwOVFU1h/h7Q0ZdFkvryBJ89eRa6ksczLBEY+wcTnLmdKPGlNA5tsVHUtW58dkuuiKwdTDOT5cP8oGHurh7Q5DRuEa5y8aVh5Vw9YJSvJbFXZIkQhm59Vjmb13X+eWrvaZbDECpU+KiOX7u3Rjgmvs6uG9TMKd5vKjezT1XT6fJC0OBMR7cFmF938HbAYsyo8wpc9X8Es6b6aMvnCKtMa45/tzOUE7tc/uaAN1BY92WgVhK59p/7uaiu9r43ivDBzQA4bAZg6RlLrlgzM9kcKAW/a93xvjiM/187emuCV2DDhRdFjcmnydb1wv+tK4sW9O/0GbUGFcvKOWKBZU0+vf9xtMabB6I56j2AUpdMn9ePcIfVhqZ4xfOLuEbp9ThzHyAYthPRGOqqko4HMbtdpu8HRj1luAIRW3kc9rMz9znkImndf68ZpTPPdnL5oFs3STiNq3PtcLtdnPVokoeuqaVTy0tN+/DVB0e2Rrg3Dt28Z1n28160fqdFq6dyWSSL5/SyIWzfeZzP/JQF52htDm4KKJPhbtrITgcDlwuF4lEYp+DdlZ3WEmSxtWy6XQ6h/u3OgGpqmr2FACzxi00MHooUHRnPHhEo1F6enre0XV5sTFexDseIn/x7UIikaA50xjvDo0vGJbtCdOVaZi//4hStg4miCRVc2G/d1PIJBkFhBKn0a9wylQf58w0FK2PbwuaC5+u6znkgyzLPLJxgAvuaueSf7STyBA5iqKgKEpOBnZrZn87M4qck6YahN0rmWa4223YAgIc02wsrMLqWlGUnIXFZrOZdp7i/7FYDJvNZiocrLBmfxeCKEys+PhjWfvqS+f6GYqqlLpsnDe/mmgmW9tlw1Slp9PpnP3SNM0kD7tDaWKxGE6nE6fTaSogxGsLaxrR4BeqDStkWcZut5u2VwLWYQVJkrhvs6H699hlbjy9CZsscdbcKm6/tIEpGTX4ntEUn3isj65gkgq3zAWz/Nz1VoDL7tzB55/s5c71ATb0J0hp4LHLlLuNjEeRC56PeFrnS8/0cdeGINFEkh+e04wnc9OxqivGWTN86MAPX+ph2fYhNmYUQdZSQdONPMAfnF5NpUcxJwrzLR/F8X7Pvd30htN85OFuU70Wi8XMBvme4Tj/fMtQxR7X7KYzo8J2KsbE5daeIB94oD2bRyQZjfxYSmdKmZ2vnFTL366cxrmz/PjcznHnj6IopFIp8zxvLXPwuRPqAMOZYWfAIAu/fFK9+f7+uGqYaDSKpmm4ldxF/oVdYXNbwiK2qcwFus5wLHvQn9wZ5efLBxmLRM3pUZGnvnskyY9fHUTT4czpXq48rGTSDXHzc9A087suzkvrd0OQoD6fz2x+WzGZ13g7mjtFHDg6Ozvp6ekpfh5FFPFfADF8eKghCDJdU7OONxkWy+eUkaWsqjyhGsQLwI6hBPdvzh2uuXC2l1nldqKqzDO7wubPp5bZSarZbfxrU8Bcl8Qaf2Sjm7vf08jihtyGc1LVaS5VzAbtSVP9bB406gHRLC10y2yXYdtgnI8/2MaO4dzG3jWLKjim1c+WjJ1kX1g1lUKtmdd5pT1mEiiFhkILNRatiKVhe2Y/rWrneFrnse1jbB5IkFD1cU19GbhqYYXp3gOGVfknlpabyu5X22M5Kv1I5jicM9PI6H61PcpPlnVy/eKycfvVWmbn6vle7DaJPSMJuqPGwN8lsz186fgqFBmWt4f57ot9uBSbqXa2NoPF/cU5s3xcMi/7GtGUPuGw7v/lzX+hNPh85ZdNMuzzbzqtnmsXV1LpGU/gl7uNz73MJZs5pNMqHOPeizTBvwWuXlDC4++bztz6ErPJbHUekCSJo5u93HR6I7JkDKD8cU0QMvFLbrebDUMan3y0i3U9UZyKxBdOqOUX5zdzXLMHWYI13RFufLaHD97XxsObR0ljo9yh86UTa/nzFVNZ2uhG040hzffft5e7NoYJRLPfi0QikZMrbrPZzHrO2sgXkVDAPhviViQSCbOGF2odqxonlUqRTCbxer3jXMdELbo/FPqOeuzyuMGOX+zHqrZIYh48UqkUu3fvZmRk5B1NZBZRxDsF4bBRpylvg2JcuPrtC0LFCYZ7ChgNRoFzZ/qYV2UMU50yJTtsuWUwzlkzfMgSbBpIcvVhfg6rdRNN6Xzq4Xa+9Ew/L++NktaMQcqvn1LH7Zc28t7F5Vy3uJz/WVxubmssqfH8HqO+7hpLk1Y1fr1yhCe3B3P2NZjQuereTv6yesh0KBKrRa3PcFf8w8oBvv5cH9c/0M3DWwI5jfUDhXhmIKHxr80h7tsyRjRTiOxPza0B7cG0+e9/B0nVOEaBuMZ+5sr+a3Dra/0MJySTp/Z4PDlcV1LVscvwt/UBbls1SPdBRhwF45ppz379olI+emQZTkfWBVQM+sViMdLpbBNZqMitzVvxb8F9d4XSLM+4mn7vjBo+d2wVfqfM3kCKrzzbz89e7Wc0ppr3MYIPdLlcZl0pvn9CdHb54XU88t4ZfOWEKnwOYx81HV7eG+Wsv+zguy8NEE+lsNvtOJ1OIpGIqf5OJBJ86tharjvccKvSgI88sJe2YCauwWYz6998e3ExPFlIIT4RhFhOiM3yewXCrt0aySMwGd4rlXmf/y6KtdC/h0AgQFtb2zs24qjYGC/iHY+xsfF5i4caTaUG9ZNvpa5pGre8kb3x/+OqAF97boB/bQoVXNitFIDdJnFci0F4nDnDh5IhFjd0GkSoUCcLMsftdnNHJpM8rYMvs0gKy2uxGMTjcZozit2OoKHmPrLe2P8NfXHCCZVoUmVdxgLpyEaX+XqxWIy7149w4V+38Zs3AwxHVXMRBEzFtrBCEbkhgEloigm1QhBqbStJ89UnO8xMzdOm+dg+nCEBZ/iQtDRxzdh+uc+JJEmm4l3kkQg1e43beP/dIYNoSqVSpgJDFD1W0lXYVIuiQJBPgqBSFCVngXU4HDmL+7qOUe7eYBTynziqgvoSY0gglUrRWFnCb86v57L5WdURGNnzf1sf4NX2KKGEhk0Cl4VAjKY0RmPquCLcbeGgDsvYWP1zQ4BPP9LBrsEI3zrFUB/FVegdS3HGjFJUDX7w8gB7RozPrsKdPeYNfjv/s6CU53ZHTOsgUfSI7ELRVNZ13STPNR2ufbDXHCaw2WxomUlfVYcpZXYe3TbG6r7M5KQNto3qfPbJXpIWeZimw+wqBzedUs2t59dzTKOTrkCMDQNJXtw5ag5XiElGl8tlxgcIR4XTp3k5fZoXTYfvvtBNMK5x/NQSU831+LaQ6XZgt9tzvntvDaTM/NLekHF86vwOxmIp89g3l9iRJVjWFuEHrwwTjhuPS6fTDEXS3PzSIPG0zqI6Fzec0oTP55t0Q9wKq22NVfEtzlWHw0EkEjloe5tkMnlIVOP539siDgy6rjMyMsKOHTvo7+8vWogWUcR/MN4uhwehELJJWSWAWBs9dpljm7ONalmC1zqirOyMcssbuXnUdT4bH15Sia7r3L5mhHBSMxXnF83188mjKkzV7b/eGuF3K/qIpTTTkn1ZW4Qbnhlgfc/4Wq1vLE1HMIUsQSKzIOY3Ostdsvl6AO7MiwlyUPzmiAYPV833oSgK67ozWcgZ8vLKw0q4dlEZAC+3hVEyw4iivoOsK5KoPQFSqs6u4QRPbB/jl68P8cnHe7nobzu4K1OPRQqonQFz4LDKo/D9sxo5YYofDfjXhhFcdslsRveH03z/5UF8jtz1TsLIdxT//sDSGm44vgpZgud2R/jiU+NzD6+YX0pdRQnHtxok81MW8vfkqV5+en4rPofMtsEEn3m8y6w/7AVk0lsGk3zo8BJ+dE5jQTchK/KrBYctd3seu8SS+oltRxUZvnJCJVPLxhNVEjC/OtsO1wuUBeUZH82jmtzMqXKi6rC6J8Z3X+xl62CMzx9fyyeOyXXyGci4CQUsav5dI8lx6ied7OCA9VdTSmQev66VaxeVj3OlisfjpvOAqPVPnl7GN04zmuNPbAvy2xUDjEVi3PJqN19/upNgXGVauYPfXtzC6VNczKlUuPnsZu68chrvWVCB1yHTPZbmD6tGuPqfe/jbWyFGElDn0vjWqTX8+Kxa5tW4SKg6/3xrmA8+2MF9mwLYHK4cdyprjSaUNqIhbq3FDwT5daU19kioyP+d4Z+J6peZlbljEmt79026FmvKfw/pdJqenh527txJMBgsksJFFPEfClVVzWvu26EYh303oBwOR46IaFaVA0U2mokCMzOuH4lEgrPmZtfnrlAar0NmSYMhWvjtqlHaR+OZ92A85tTpfn51bh2/urCFM2aV43IY/EVclbhvg8FrijJSWIvvGUly7QPdPGsZ7Mx5P3nLnjha/eE0928K8NBmQ1iSUP97r3slTplyl1xwyO+dgtG4yvvv28s3nm7nld0Bnt42ynee78p5TErL5chPavWYTaxpZQolzsJHqMaT/bm1VvznxhBfebafv6wa5PW9QdN9VMCaMW51FZ0I92wYRQeOn+JjRoWTC+ZV8MeLGjh3lmGr/9yuMT7+WA+PbQvhcLpMR1VN08xmvODGBW8tarsz51TyyPtm85Nzm8zaWQdWdsU476+7+NKTnQTGsgpswTM6HA7ev6SKDy2pNJ/zqUfaWd8TIRqNms1rm81GIpHIEZcdjKDQmncuRD1i+8KJYqKoncngUDTGVVXdpziviP0jGo2yZ88e2tvb33GRPcU7jiLe8fi/sKhtzKiRe/IU47evDxWcJHTYJGq8NpY2eXKsDlssJNPvL5nCx46tx263U+13ceJUQzX+9K5IjpV1IpHA6/1/7J13mBzllfV/lTtPHs2MRqMcEAKByDmYHG1je8FxHdbrXdtrrxPOeb3+WBvndVjbOGLAJpmcQSBACKGcw2ikyXk6d1VX1fdH9VtTPUEBRPSc5+ER0vR0d1VX13vfc+85J0omk/FVNrriLejRaJRoNOpbKruuSzgc9vO2O1IWeihMS1WIlgoN24U1vRar21NYtktDTKMxMqpE0HWd+7YnyVgu928f4X23tXPNjTu4bUsGSdF8sjLY+BaLr+u64ybIxkKQIKJJ/eDOFM+1exuFmojK25fWsbk3jyrDW4+uxbIsUnmvAFDdIplMxrfBERsMsVA3xFRkybODSlpy2QZBFD2ioBD23qLpKgoEUbgIVbxQ7BuGl78dtBD/3+cGcVw4Y2aEi4+oIZPJUDAtdg3b/HZlJ194uJc7N5dPwI6F7Y6SxGOJS5GtrisS58wdtejc2Fvg0nlhKkMKe4YtPnVfF5sHbC5d6F0/G3oKHFGnc/qsOFZA5jQQyG7sTFl88/E+frdmiP5ssaxxKjJsIpGIR6i58KUza/3c84zp8LG7O33l9IM702zsyaHK+HlFApmCzWfu2VumtppZofGmOVGaExq3b07ywTs6uOqmvXzg1r188cEufrJy0L9GBPmWTqfJZDJ+47hQKFAsFvnUWc20VOoM5myuf8azw/x0STVuu/Dzpzv9zzQSsPLaMzT63N1p7zppSmhlzYcfXjmTr5xVh6FIrNyX5ksP9zCStxlK5fjmE/0MZIvMrNT5yjkNWIX8YSekROFpmuZLfu7DkTPuuu4UiXkY4DgOfX19UxaYU5jCaxSO4/jKnsMNoRBS5QApY4/WAG89wlvHJeC8+d5g3Q+eGaBteFRtKkvwvUtnEo9F2Z2E+7d7dcZJMzwyoHXE4ZIFcf7vbXP8BuKdW9P8211dfH9FP+++eTffX9HPrkETXZH8BnBM98g5odYNaxLP7PXqrKAS58QZUW559wLEchDW5LKsSPAImpqIwhfOaUSRJVbvHWFfQN182qw4HzpxGmfMrSKqy/RlbV7Yl/RrtHw+70fiDJoyj+1K8avnB/nM/d284+a9fPK+bn6+apBHdmfYWzo3FSUr9eaEyo+vaOHCkhOTQNHxbMl/dEkDS+tVrj2tiv84uYawKrG5t+DXKRLw9N6M36gNHpM4Ny7w34+2c+6CGj57lldz7Bgcf09/fI83dHjRAu+zfGTnCHaJ/ovFYhzdEOYHl06nIaaW1WhBolc0G/cMmfzfCyMcPyPOzVfP4pjG8IT5lxPBHEMcZy2X9T2jBFbwaabFVIoO7Bh2+Pq59WW/15TQcIEt/SZ6qWy0JtgDCaVVTVjhx1e08KPLZ3D2nDiyBC90ZPnKQ53c8PxofJI2yXGIsjiul9fHYyNMv3hmDT+9Ykb57wZyDQVM08RxHEzTJJ1Oc1KjyidPqUEC7tw8zHtv3cffS4qjNy+u5GdvnsXs6lE3rnw+T6Vm876lcW54y3Q+enIdTXGVjOnw1w1DvOfm3XzniT429uZZMi3MDy+bwfuWVqArXv7q79eOsLpt0HdBEsjn834DP6gQP9x1guM4vmL8pUAo3sdibM540dm/nfobPc/wlYJpmvT19b3ab2MKU5jCJEin0/5e/uXIGIf9309lWSYcDhOLxYjFYtRUxH1eRNQRnVlvOMswDKojKpWhUW7o4da8X+dt68uTMl1qIwqJ0pRe60CeOdMqfFdBYeV859YUyYJDS6XO+0oNvFCA78ocTGh2CRKe02Y8MLRoqBIzK70aSZMljm0MlwlOJkOFIbOoVmdG4kX6lR8iZAlmV2mcPD1U1gBOFhyG8s5hjaV5paFIcFTdeO+gS+dHOaXFixh0gWf35fjaw51ct7yb5a2je6yIJpEwZFy8fdBnz2zgaxe0+AMUsqzw/y5omNBafiA3euZkPPFQdVjBclw29xX4y7pBvvxgJ/90014+fNsefrFqkOV7MvRnimW8lthzTIT2EYsnS2rx9y6rIxqNUigUSBgKHz2xih9e1sz8WoOM6fDjFd185LbdbOxK+/uZWCxWlq2tKIqvJFcUxXfhXFyjcMs75/K9C6ZRG3BVWt9T4O23tPOp+7oYzo3GeTqOgyzLvOWIGP924qgrwxcf7mXlvgyqqhKNRn3Bk4gIO5x8pXAZCkbyvFgcrnpwyono8CCVSr3hYiBfmbv9FKbwKuLlIjCDaBEZ4ykL23FRZImRfJG/b/EIyYgmcd7cGMc0hDi6IUR1IkY2m0XTNL7/ZLdvd9gWaBxGZYt83vEVAhfOjfDYrhSP7U7z/mNz1FXG/IZ3JpPx1TYA58+JlOWMm6bp24IrikJdRCGsSeQsl109SVoqdc6Yk+DPawZ4qjVFRUmCfPz0kN8AtSwLXdf50jkN/HndMGs6MxQdbzLzt6v7uWF1PwtqDd55TC2nz46XLYDFYtE/Dk3TUBRl3AIpy3LZYjVccPlxqREpS/CLyxr439UeUXbmrBgVOiiKwX+e0cS7l2aJG7JPHIniRWRg67qOjtcc70wV2Ttc4NgmLz9GZMUICxhhia2qKrHYqFWUKBTEQAJ4ZINQLAmbF9Esd0qPX9ed544NfaztLrC2K+fbhR8qTNtFBk5piXDx/BhJS+a65d3MrTHKCkiAe3bmOHNmGGSV5a0pfv9CP/NrDGoiKsO5Ij99po+fvXkmT+3Zv5vC0mkhHmsrYNp5+lIFhvIOAxmLRFilUHRZUK0jSUM8sy/DB5dV8YNnBigUXfYMW3zjgTb+/dRp3PCCNwksBkTeeXSFr6RPT8CHtY1YtI2MJ/sMRaIhrlEfVbCRCamj1pJCQSY+B981QJW49vQaPnVfN6s7svzx+R7esaSCiCaRtVzu3Jri/cuqCYVCzK5S2djrkYHpguMTgz2lN1mlOTzfOZr/ZbgWJzRH+P5lM/nCfXvZ1m9y7UM9ROUiu4dcqsIK372khaqoOmG292sJh6sIniIxDw9qamrGxTdMYQpTeG3gYC2LXwxGM8ZHVZeiaWkoEkdNT7CkfpiNvQV0HCoMmZExTefPntlApWZjWkV++FQ34MV5LGsKs3xPli09OXS9jlq8XMgHdqZRJOjPFnms1VvvKkMKly+Mc8HcKP98ewfgxaCc2Bzm2094dVjGDDjmKJJXo0jwkRNqPAVESZl99LQQK9vLlecScO3ptYSlIpsGHb7ySI//s4aYyidPqkRVVexCgdNnRnlgR4rlbTlmVqhs6y+wrb/AzsE+tvXlxx0/QFSXWVCjs3hahAU1OnOrVJ7Zm+Vnzw3SXKGxuD5M0Szw0M5UWRO1PWnxp/VJPnFqHcVikQvnxzlhZgXffLidHSUL+JqIgutSFqtyYnOE1R3Zslz0td0Fbniumw+e1MB9WwZY3zO+2bi6I8sDO1JccVQ99VGV3kyRFXvSXLS4zreHn1sX46dvnsU7/7IT04bmCo32EQtNkbBsl5kVmv/e/r5lhJGcxZfOa+F/Lp3JNTfuoD87vvaQpdHmcXNCxXJGax2B4OBk8AyLx92+cYjBdIG6qEpfaUigM2lx3twYD+9K+3b9E0FcGwUbzKJNJmdSaUhUhxX//Qb7pWOb6xIekSrOd8qc/PvYUqlz1vw6tDHDpZIk+daT2WzWb2yLoVnhyHPJ4hBruvI81pphJG9jKBKfP6OW0+dWea5Tk/SmaytiXDxP5sK5YTb0O/xtfT9ruvI8vS/L0/uyqPLEFqxrOvMc12z6Wd8iFsp1XX+IUZC1r+XoFeEAFsRYxTh4dupfPWfahM8xRWAePjQ1NU2dzylM4TWKIFcpGn7FsRNeLxGCMxyLYOavwF3bkn6je3pco23EYld/1he5ZDIZFtfpPL3Pu8f/6rnywZu3LIrzz8uqGCzAp+/tYM+wxRfua+Mb59SRKGVKD+dtblnvuWp+4IQ6ltYqPLB9hPYJYimDMBSYntDZPVReU7lQ5sbZGFe5fGGc02ZE+NIjPbQniyyqDzOvLsxf1w8yPaHRMSZuRinFFY0UHEYK+x8QE1ySd44U/uWkaXzjYS/6UTzPwcJxoXXIonXo5RuK1+SJBxUPBdOiKn3Z4rjhw/3BdmFD3/hzWXRhR/+BFac5y8XFpSmu8o0LZtAYdrBt26uBHZeRgs1XHukjX4SICtnA5RP8DN57bCVXLU5gGAZtAxm2Dzus68ywqSdPR9Ji92CB3YMF7t6WAvpJGDJzqg2uv3yW/xzRaHTc/u/WlZ04LpzSEqMlLvkiLaFOnkuO710wjQd2pvnD2mF2DZp8+v5uLpgX433HVGIYnm2767oTfhcFhOX5ovoQv79qBnsGC3x7eR9dpWt++4DJ22/czcwKja+cU0tz4Pv+1qPqCCkSP3jG49W/+XgfX5Y1zpodK4u+UVX1JQ9Gvlx4o6mTX+/QNI3a2toDP/B1hKnG+BTe0HBd9xVp1tRFVTTZW6D7szbTYirXrRjCcT0C6tdXNpEIqb5ts1j0isUiwyVRRkiVfHUwwNa+Aic0j9p3H1ln0FKhsXfE4vG2HG+Nh31LEl3X+dGzo7Yz/3bS6I1KECi6riNJkqeOjUSYkdDYPmDSNmwyo0Lj+AaNPwOrO3O+Quj4prCXwVxSVZimydLmCuZVqThONY+2ZrljS5K2YQsX2NZf4GsPd1AVUphVpfNfF7VgqFJZTp1osAc/G5FxF1Q//Mvte/3//8bZdaQtlyd2e43cKxfF/TwVHZhTF/MVFoZhUCgUypql4ny3VIXoTKXZN2xy9LTRrGqhahfW9CILJZ1O++qMYCEULBxElorI6MwUbLYM2fSXiMJkweGnK8ttTifDsqYIR9RprGrPsn1gfHHs4A1f7Bgw6Ux7564ypLLFzFMTUckWigiudnlbjpaEyhfObuAnT/eyY6CAKo8Wif9xZ9sB38+a7jxruscXItFMkYzlsq1v9Ge/XDXIhfNivprmibYs+0b2ldmWfmBZla8sHwtZgtqIQkNMZVrpv4aYxrSYysyaKGHJIhIZHWYI2vGIzxlGc7Vd1yWXyzGzUuc/TpvG/yzv5k/rhllcZ/CRE6q4/ulBig7ctDHFB0+K8vYjK9jY623sxOyCFgr7JG1tTPU3FIunhYlGo0iSxDw1z3UXNvCVR3poDzT0v31hM/WlpnhQlRTMaX+t2Bq+FGujIKYa4y8doVCI+vr6Az9wClOYwquCl7MZNWqlLvkuNDbeOisae1ctTrCxt49HdqcJq+VryInTQ5w7x6uH/vJCD7sHC8QNmX8+topCqb7cPVjAdiXWdOXYO2KWXrf8fRSKDmFNoidT9H+2pF7n8d0TD5qK5v3R9QbP70uVNSrHNsXBIzB/unIIx3XGkaC24/Lxe7rIm0WyNn6D9Z6tw9yzdXjcc6kyzKnSWdwQZW6FzIJag6a4Sjgc9hW22WzWf49hXeWxnUNcv6LPJ/eU0ntygPu2J2kbyvPTt8wFoNFweOfSar7xqDdk0J+1iYxx9KsKq8iSNM769KYNIyyqM/yhOwFNhkRIYSBr87PnBlk2PcL58xP8ee0gD+1Kc87cRJkrlOqONlGbK3TaRywShsJAtohZ8ioXg49P7MmSe2AfF86L0Z+1/SHYIMqHAYp8/Zx69qVsfvO8R1K/c2klz3fk2V4iLWXJ+y/YyHXxFO9j8fCuNIYq+dfbRBCK97VdWd5+Y+shZX9KQIUOwwfJ3e0dNvmPO3dz7Rl11EdH60+R8SjcsMaSbrqukyrYfH95J8tbR23FC7ZL63CRk/dzH4hGo/59QpYkmhIamgwhdbThP7YpLgHHNUd417J6XNfxY6oURcEwDBynRAaXbNaDe8mgivy1gomasHOq9HENg/3ZqU81cg8Pampq/GtkClOYwmsPweF5RSg+DzNHILKNHcehWCxi2za6ro9bN7b1F/jN6iH/7yLOcO+w5UXMZRz+vnnYFwuAt35dsbgSyypy7440O4dMdE1lekjhuxc1859372VTT57vLu/nG+c3AXDzhhHyRZf5NTqnzohgmiantUS5eeP+3RQLNkyL69iuWyYoGouuVJFfPT/Er54f8lXit6wf5Lz5nsvi2KY4jK+F99fgzgbqqq60zdcf7pz0eQ4H4oZMQ1yjQpcJ6wrrurLj3JgAEjrEDE8IFMRLbYoD9JS4zZmVGsm8zVD+xT/pAzu9ukoMOs6p0rj2rEZW7M3yhxdGHYNcPDenX1w1l7DqccbFYhFDlclaHt8qXKgGsp7n0iWLKrhna/l19Ls1wzzVluXfT6phQY1OYxwumJegUCiQdVQe2NrPY61Z9o54sYnJgsPGntx+66rOlMUjO73XefviGI7jCdqE0Er8riJLXLG4ijctrOFXK3t5YPsID+5M88zeLO87tpIL5sWI7qcpLhwdBF/nui4LGxP835U6yaLGlx7YS2tpUKRtxOJDd3TRFFf55gXNzKnx3LXOm5cgrMl8Z7l3br/9aCfZ06dx7iyPlxRuqeL1RH38WmqUiwHWl4LXCvf6eoYsyzQ1Nb3hnEKnGuNTeEPjcN38VFXFcZxJGz9mIU9jXGXviEV70iJdlFlXyui+YmGcRMnfRRAZopGXy+XoTXsLTr7olikIfr92iCOnGVBqZNu2zeWLEvxs5QB3bx3hknkRn/izbZv+UkdUOATdvjlJbdxgVpVEY1RGlmVM0/RJwpYKrzHenvJ+b2Fd2Fd+5IueKmJZc8xfhCORCI7jeM1oXcc0Tc6bG+OKo+rpH05zx/Ys920dZCjvMpS3GerKcckN2zi2McQ3z28sIzjEJJ2w5TZN029ohsNh/uOO3X7BefH8GMdOj/C7Nd6gwZJ6g7nVXlaJeE5h0S7sWiKRCIVCgUKh4GebKIrCjAqdZ4GerOs3ToVSXVVVsgWL4VSR+oiXFy6IyWjUs/qJRqN+xqX4TLK5PJt6vPzr59qzbO/L79fySJVgQX2YhdUaR9QZPLony7MlO9I1nVleKNXVsgSnzYxzZotBrujyZFuWFzpzpYnSYf/5dvR7G5M3zUtwzZIYb7lxdKBgb7LID57q4Q//NJfrl3fx7L5Rcu9geMh5FRJN1TEqQ7Kv5mmsjKBJNn1pk7u3ptjQ610fQ3nHb4oL7B4ezRP9txOqSFku31k+OlUcUuDTp9Uxu0qjNqqiTpCbCRAOa+Ry3nOJz1cMmYjr0zTNMmcCgUgkwpkzXJ6fHeWx1gzXPdXPTy5tJKQOkS+63LR+kKuXxDmxJQ6Mvjdd1+lKmrh4Sr3fPDdapH/21FoymQyhkJcTNKNCY2GVUqbM+tXTXfzgzR6xnsvlfFJKDImIfPTXQoEmMuFfSrE5kQvEFCaGUH8FEQ6HaWhoIBKJTJHBU5jCaxiH656tado4K+SglbpYx3Km95iIrqKqKifPStBSMczeEYtcgPdSJPjcmQ0AtA+k+N0aj9gMqTJfeLiHou0i4RF2l96wfVzOdLD5mSu6/Or5obKfX//MEAfC2p4Ca3sObtBKNOXHom8ChfNECKkSs6oMjqj1lOHz60LUGC7hUKiMkBJ1nmjG7urP8dgur1ZZXGdg2i47B01OnG6wvsckX3TZ3Gdy9Y07uPHqueTzeTb3jNYUugzZMXzqAzs8O7mZlRqpgs1gyfbcBX76bP84dY3lwDuO9ggy24XPPdDN9y+dwZ/XDrK2K0/rQI6WStvPvH5y54D/HCVXUGqjKgPZIqmCOF8uXz67nu8u7+O5fRm29Hq14SnNER4NNHbnVI1XWn3jsV6+cl6j//ddAwV+dmULF/xmuzcw4HpKoa6SWvzCBRU8sH0ECc86f+W+8jzq/TXFgxjMlV+FEp6q+NSZMX73gjdQemyjwZqu0WvK5eCb4uI5t/WbfOKeLj51Wi0nTB+1w7QsC9u2UVUVwzD8/YDjOKzrSPOdxzvpy9goErz3mEoAblgzzB/WDqFILlcdWVH2WqJpnUwmeXBnhru2p+lIWgdFkisyVOgS/ekcTfHRyQtR54r6Std1LMvy1UWyLPtqw/2pjV5pTDRwqSkSsyo1dgVUccJOPTaBD+pULXRwmKimBKiurqa2ttZ3MpvCFKbw2kTw+zuqGD+05xDr12R7ceGoF3y84OEEN5Eq2Fz3VD9FB06aEWFVe5bBEr/Yl7X54kPdZTErAoYC/3ZiDV0jee7fmWZDT4G2wTzNFRrz6iJ89Zx6vvpIL8935vjBij7ecWSU+3Z4ddgHj69BURT+ujm936b4p0+tYV13nkdbMzyzd/yQ5oXzYrxrWS07Biwe3DbI1n6TkbxwoPHOr+3CA9vH2/9GNIlKQyZqqDiui1W06cs6Bz2092LE/TFdJmc5B91Enx5X+MzZTWzrSvKz54ZIGDJhTR7n9pM0IXYYTOdqS43msW8vpsv7HUgIwlC8QYaxUGU4f14FJ82IUBNR+fhd+2gdstBUmT1D46+vgu3w+I5+zp4V9e2/hcW/i+cOMFy6To+fHub+bRNfRzsHTT51XxdnzozwliMSdGVzPN6aYX1XtkycJlAVUvys7Ilwy8YRHBeOawqxoNbwrcMLhQLhcBhZljEMg2Kx6HHVlsUnTq7mwnlxfvx0D3uGLX66cpCHd2f5yAlVzKsev1aLhrhwgg2Hwz5vrus608IKP7t8OiM5m6892s32koNUZ6rIh27dQ21U5brz66iP6ZzaEuW/zlf50kPeoO/1T/WQzFXxlsUV5HI538IdvEFLcY94rTTHD0cjdkrEc3CYqK6UZZnGxkYqKirecE1xmGqMT+ENjsNxQw82jBRFQVVVFEUZRz40JbzGeGfS8hXCEU3io6c1+gSBJHm5kfl83s9t7g/kFAaL4D3DRd5xczuaDNURjYQuETdkFAn2jVj86oURjqi3iMg2mUDVsawpRNFx+d2aobJia1pUYWZ1iJmVBrOqDCKG9/VvTxb9RfvUmTHu3DwMwNKGEIYqA+VKbtHIFs1kx3Goq4rzoRNj4LrcuG6wzKZxTVeey//QyonNYb554Qz0QF61aZpln40sy9y6YYhNJcudhpjCR0+qIV90uH+HVwT/0zF1vmW2yEUJFgsiMzoWi2FZlv9ZhUIhpie81949kCUSmUY2m8W2bUKhEBt68nztwXaaEjrfv6iBcDiMbdv+Zy8aVrlcjoGCxDN7kjyzL8uWvsK4fMYggtOmmiJx4zVzqI0aFCyb5XvS9KdHizcXqA7LvPnIGi6YH6fSkHzVyblzYqQKNs+253liT4a1XR7pKZqxazrSNMVV3nFknFs2jTao80UX1crwpTNreLQ1ws+f65+w+BMIFrGSqvGFM+twXde3cRTZ67MrVH5dmih+99IK5tRGWb0vxYaePHvHWKF/+sxGVu1N8sSeUfJ0ZqXGDy5qQD/IEExFGbVOFypsMRQizpEkSWVqPjEJLUkS/35iNTsGCrQni3x/RT//emItP3q6j6IDt2wY4R1HlROcWdOhO+W9XlNCZ2XnqHKqOuK9Z+FM8OSeNCs6yu8x63pNrvnzNm64aiaGYZDNZn2nBPAsgQ7H5ONLhSDMXmqBI45xCvuHJEksXryYYrHIwMAA/f3ewEV1dbU/gDOFKUzhtYvDEXMQbGBpmoaqqh6hErBSFxANXaXUyraLRc6dl+B3qwfKntN2YW2PyektCnFDoT7qKUb6MuOVrRPRAo774si9iSBP8hrg1ThjG6IHgzmVKrNqIuweyLF3xCJfdNnal2drX57bt3hEZ0STmFOlM7daZ1619+ecuhiGrjGU8+61e0e88/G2IxO8Z2kl7Smbj9/dwXMdBb51YRM/erKH/qxNb7rIZTds50/XzGFr/yhRN5bji2qS74wzkLX56InV/GTlAFnLG0Toz5Yfq6iPf7myl0sWJrh7a5K+TJHfP9/LBfMTPLM3zVce7eOWd83zBzhXtI3WTo7k1e71EZltwHBpOiJjOpw1v4aaeJjP37eXVElJdPrM8sb4nlJXeWGNXhqucHGBbz7c5T9mY49Xl0gSuK5Xx3YFyNfdAzmWNYZ4oSuPLjlUhhSG86Nnpjai8OET67lhdT9dqYO3BnXx7CC3D4y6LK3temmONmK4MWU6fOOxXt5+ZIJ3L60EKHPDEk3tVDrDzRtHuGmDR3g2xTU+d0Yd86q9YUzbhT+sHeaGNcPoisTlizz1WX/G4k8bhli5N+0r7PaH2VU6Vy2Oo2k6t20cYFu/ySO7M1x5RMJ/TLBGDIc91Y+IpBL/H1QCi7+/mrWYoigoiuIrpsYO/yysM8oa4wA/eGaAr0xgpz5FYB4cEokEzc3N5PN5urq6/M+/oaHhDUleTmEKbzQYhkEq5XE3QjE+1oFmfwg6L0qS5McW7i/bNxQKkU6nR92JHIfrnx6gJ12kMa7yqVNq+PLDRXYMmsQMmXTBYSDnKXJPbA7zliXV/PTpXtqTFnkb+tIWdVGV45rCrOrI8cDONB87vQnXdTlmepzPn+HwrSf6eHhnkq29WYoOHNsY4sj6MF+5r42n23Pj3qNQE583L8FFR9SwpMlic9++cWpogJ60RW1YQa9XqA9XM5Cx2D2UZ3Nfka19OdL7iVzJWi5Zy4b0ix/wl0r/HeyqZSjguDLZgJQ7pkvEdIWRgj3O6Wdrv8WH/tYaeM+Tv1LnAezox0KVvHov+JQTxfAAZZGQs6p0/uOkKj51f8+Ej52oKQ4e3/3knhRHNYQ5qS7MyTPCPLsvx3890uHXB6JWloC+jM3uYZtLSmrsfYMZhgL7iJAqkSu61EdVVnV419G5c+M8viuFAyR0iWTg81/elmV52/g6SZZgTrXB+fMrOHemTiykT/r96U5ZPLrbq62vOarSbySKNVdwlUK0FeS7j2mO86NLZO7enuLP60bY2pfnP+/t4pIFMd6ztJKYMcqVW5ZVVgvlcjlisZiv5hYOrHUVYa6/uJGcafOdpwZZ0+kdX3+mSMIYbfmdPKuS6y5wuPbBXlzg16uHyFgO/3JyU9m+FPDdJSaLYXiloGmaP7T6UjDWcXQKk2PGjBlEo1HS6TSdnZ3Ytk00GqWqqurAv/w6xVRjfApveMRiMQYHD87KeiwMwyhrXNm27VvZjVX7TI9rQI6n2/M+Efmxk2p8dTHgZwaapolhGAwmM36BMVnenJf9ZzG25Lhrywh3bRk/EfdCR55//XsHcUPBdlzyRcd7joxNTybDc2OUHU+2pvhM1qKlQkMNNCmPawphWZavzs1ms+wYKPCndcPMqzZ4zzGVPpmbyWTYO2xyywbvPH/+jDqaK3S++VgP3SUy7bn2HBf9ZjsnNYf5wll1qGOm70KhEK39Gf73We9IFQn+93JPwfLILu88NcZUTpoRBdfxF+jgAhf8rIrFYtnPXNelIeodX2fK+5lYaPP5PM1xhazlsLUvz+5hm9lu1n9f/cksT7QN8sSeNJu6c2QmKUYlvLzGoxtCLKozOKLOoDGu860n+nl2bxrLdrnmxl1cOL+C5XtSPnEpS5AwPGLxsoUVXH10pd9ADZJccUPhiiW1zKnS+ERXruya2TFg8sMVvciUX0sfOb7Sa8gi0Zs2D6jkCRaxOwdMPyNHNMeFYvv2Df30ZWyqwwpvP6qaWNjgjFkxLAe+cH+775jw3mOr+PvmId+SE+DYpgj/c8mMg24KS5Lkb/DAIwgnIv7EORMDG4qi+JZGkOPzZ9Txqfu7eaErz9LGCIYiUbBd/rJheFxj/L5tw4QMrzCsiym0lsRyC2p0P8vecRy29hW4/mmvQXH5wjgZy/EL5Z6Mw1v/3Mod75nrv69gYawEhkReKYhhEjHRGowEeCmYIjAPDiLSQtM0GhoaqK2tpVgs+puQKUxhCq9thEKhl0QSjG1cCRVPJBLxh+iUQH1klf5RWKkXHZeHtpfXfkumhdnYk+N/n+nh+OmziBgal8yP8+DuNMM5e5zdYlSTObkliiG76LrGPVuGsBwvi/yIaVFkHCxH4mfPludGApzSbPBMe4HZlSqNCYOnS4439VGF3oxXQARfLaZLZYTkgZrigggFr4n+z8tquGhRNWYh7w9x2q5Ee9plc1eK7f05dg2a7Bm2yFouG3sLbOwdrf0MRaI+qvjZk6oMnzu9llNbvEGkmRUqly9McOfWJD9/upc/Xj2X//z7Hrb2m+Rtl7f/aVdZPvWoqt+rs0RTXJM9wvB/VvTzpjlRHtqVmdA96JIFcSzb5YGdae7blmRejc7OAa8p+vajqkt1ocP3l3fxydPqcV2XlSXCOGHIdKe8Y5tdHeLJtiyDpUDFfNElnc2xuD7ERQsS3LbJu0Z+9fxQWU0ohh/ed2wVS+p1blgzzO1byt1+MpZb9hnOrtaJ6grrSgOZOwZMPntqNS905Xly73gyuz9rc93yrgMq3uK6zKUL4/RnigzkXXpSFj3pcoX14ZjVKASe8K+bkmztK/C1C1oIMVr3OI5DW3+K7z3Vz+Y+7xyfOyfKx0+dhobtO1H984mNuLLKH1/o55fPD3Hb5hGG8s6Ex6pIENFlsuaoKmxBrcE1R1dxfJOBuKrOmTOTHYMWT+8eYk6Vp+BTVbWsKR7M6w4qOcaStq9GI9QwDH94VajwJ8P8GgPwBp3Fd30iO3VZll/1wdHXCwzD8G2SZ8+e7RPpU03xKUzh9YF4PO4PSgsqzj7IbbUsy2UcSdD+eOzaIRCM4hDW1H/flmVVRw5NkfjimfVURHSWNkXZMWgSVr3G+OkzY1w4L0Z91OMvTm6J8beNHkGyrb/Ayc0hLpofY1VHjkd2p3n/cQU0RcIwDE5ojnDt2U3892OdfoTOVUdV865b9pTVqMEa0MVzFzx/foKvPtjOM/tGa+ewKiFJru/gs7a7wCW/33VwJ+0gsb8hz/m1BlcvSfD3LSOs6/EcBoP1iiLBqS0xZMlh56A1zrp9YIJaeHGtwXkLKphX4zVUW4ctbtvoqd9fThTHvvmDxJ4hk88+MHFT/EBImw7XLe/mFyv7OKHJAPCb4lVhhRkJlfU9Bf9tNcVUstksyaLCtfd3UgxM8rYOWWgy9GZGB1/fd2wVj5bcoaK6TNq0J/0spydU3ndcHae0RJFsC1VV0XXdjxyYCLdsSuK43nDHorrRNVh8r0Kh0ITfPQFFlnjH0jrOmhXjt2uGeXRXinu2p3mqLcv7l1Vx7pwocon/DO43w+Ew6XSaUCjkC8BgtPYL6wrfOrcORdf55sOdyK5DSJP94cpcLsdRjTF+crnGx+/qwAX+sn4E25V579JEmRAJvPvDq+HeI5xqg66yLxWhUGhKxHOQEG67FRUVxONxf+jqjYypxvgU3vCIx+OH3BgX+dSTbcrFDVo0yIvFItMT3tdpY7e3CLZUaFx4RC2SJPlqhGBjzLIs0ra3mIU1ib+/dz4jmRxPtmX4ybODB6XcqQzJhDSZ7sDkZBHoOYSJR9uFdd151o3Jkv716iHu3p6mKaHTHFeYW6WRdRRWd+YpFN0yclc3DH66spuiA6e0xDhlRhjDMPjT1XPZ0pnkm4/3+vaYK9tzvOXPezltZpTPnlrlNy9TqRQfu6vDf/3rLmpEVxQc1+XOrZ4a6IpFcVzH9u1jFEUpKzoEUSQsEYNuAYqiMCPhNZ9600UyBYuairg/3RdVFM6aHeeRXSn+vmWY45pjPL47xZbenG/FNBa6IjGnWuf4pjCL6wzm1ehEtHIiwnVdvnBGLdc+aLG1r0DRgXtKFj91EYUL5sW49Ihqnt4zwk9XDrKyPcs7lowWwIIwD9qCtqVKx6lIFB2Xq5dWE9MVHts1wq5Bk2CP8pfPDyNJsGJfnvWlz/j8eQnCisvft5WToWPh4hUmwqY8Go1imia5gsVf1nnfqXcvq0WTveMczuT55mM9bCjZbMV0ibu3Jn0bLoCzZ0f4zGl15PP5STdsYyGKvUgkQrFYnLBACtqBqarqq/qCGYzzNY2PnFDFj58d5PdrBrliYZw7tqawHPj7thTTogo9JWL/ufY082q9gZaugOXrp06t8W32O0cKfPuJPkzb5ZSWKB8/vQnLLDC7QuE3a7xrNm/Dxb/bxd/f1VJmSROJRMhkMgd9Dg4XJnK7OByYIjAPDoZhlP1dEOBTmMIUXh+QJIlYLMbw8PAh/Z6waxYON2ORzWZ9oicc0v14Clf27g+G4jkO/XVzxm/ygpeP/V8XNvPvd+yhI2nxm+d6OaYxxKrOHHsDdoeL60McPS3ETRuGiRkyXzx3uh/z4dpF7tyaIm1JvHlJDVt6c3zn0Q4mwnMd3vp+2uwK/rRmVLV+3QXTeGJPlhvWlJ+X/al0gkgYMsmCg4tXE7/zmFounhsiamioiozJKAFsmybNEWieG+GCud467Uoy3VnY1Jlk95DFrkGTnQN5CrbLvmS5M9N1T/UzszLpK8vPmFvB8j1pOlNF/vJCH9+7qJEfPt3Hw7uzuHgZ6gqjanEZmFWps3MwUKs5UGHIjBQcHtqVKVOSC0jA24+uYXplmCIdPLIzSeugSUTzVEN3bh5iaUOIdd157t02whktBhFNYaREGi+o0dlXcuRZWOvVOCMBQtl0FaRcjudLue4JQ6Y7XWQslaErEse1JLBMkw8eV82bF1fxr3fuK3MTuuyG7YiSxXHgvy9o4muPdLOq3bt+f/jsYOD5RrPgg+f5QNBViX89dTrdg0nW9BZ5cneSgWwR++UI6AxgQ2+Bq/+8g8+c1ci5c2KoqsqDW/r4ycpBMqZDWJP46Ik1XLy4Ftd1KRYlCoUCeUfi58vbeTLgftSXHTt0IrGo1iCsSjzTnvMHYI+sD/He4+o4vtkbyAjWfaZpckR9hCPqw761u1BnCCIziOBeUvwpSV7zIZfLveLRNodSV86vGbUKjZaGZqwJ7NTFsUzhwAhapUuSNGWdPoUpvM4gYjEcx0E+BMW4GIqZbA8uomTE3lPcU0WDQ7g/buot8OtVvQB89JR6Zld5ivOlTVH+tnGIXEkQYrmS3xQHuHhRld8Yf6otzcnNIY5vClMbVenPFHl6X5YLFlYDXhzhBQvgL2v6feeaLz84mssNUBmoAwXyNlx7X/v4YztIm3P/XCkSdVHFb8qDV1PNrDJY15mhNzu+aBn7L3URxecz9wwV+NEzAxPmfANcvDDBO45M8EynRfvIgaOIAJ7rzPNcyaFQVyRaKjRmVxv0ZGyGAlxacHjg1cZLLdeSBZtHWsvrh59dOZNfP9cLjA65zq8L058t8sWHO+lOFwlrUpmqXmiWzp8XZzjvcvXNo9GSXQfgxTuSRW5cM0BEtjllTjWWZfk1zUQ8XU+6yCO7vAG/dx7tCWuEK6TgSicTv4ghS8MwcByHxqoonzpF5rzZEX75/BBtwyY/fGaAB3em+bcTqzlyeqTs94W1u6jxBLc49j3apsk3z5/uf9fF+9F1nUKhwKwKlZ9f3si/392F48ItG4ZI5k0+e/YM/7nEe3w1hDxjox8OB14L8ZWvFwTryOAa8kbGFBs7hTc8Xow9rWi4yrK835to8KbdUuWRVOLRXz6nwV9YRGNTKMfFotaT9Bb82ojXHAlrCpcfWccTe/Ks7cpy/rw4D+0sTbtpEqbtltncDOcdyI/+Q1iBK5dUsaBaxXEg6ygM54oMpAsM5x2G8zbJgs1I3mEoNz43puzYHM+yfd+IxcoxP6tPlNsm37N5kM19BUKqxMdOqScUUn219uxqnRve2syugQLfXt5PX6aICzzVlmFFW4Zbr5kJ2SyfeqDHV3VctTjOkdM86/IVrSN0popENYnz5sZ8pb5QLguIYYZCoeCrxUX2uEdsFamJGcQNmVTBYchSqQ4UF6qqctG8CI/sSvHQzpR/3oOI6TILakOcPivO4lqVOXVRrNL7mIjs7kha3L8jzSO70+MKZ1mC/7mkhRlV3qbm7PkqP1s5yLb+Av3ZIrWR0dtzNpv1CzNd19nY5ZHRmZJV55sXV1Ef13nnsbXsGczz0LZBbts8QsH2rsefrxr2X/OqJVW866g4sUiY+7ZvwzpAjfDBW7bzo0uafKeDcDjMrRsG6M/a1EVV3jQrjOM4pE2HLz/czbZ+01cnZS2XdIAtfcdRVbx3qWcTqSjKAVXGwrpd5CeKKUbXdf2Govh8hZWQ67pYluVb/wg4joOmaVw4P8GmPotHdqV4am8OTfau9d+/MMTF86PcsdV7rbYhi1jI2zx1llwPZAlm18VRFIWeoRRffLCH4bzNvGqdz55eh6rIqOEwb19ax5GNMT51r7fhc4HL/7yXW9/RiFEqNIKDAa9kfs/LVRROlJf7eoQoBMWErG3b/kSuuN6EW8BLef4pTGEKr19Eo9FDaowbhuHXJPuDUAg5RU91GYlESOdKWeG6yqaOIf68doyFOrCpN88HllXyrcf7uGtbirtKQ2+yBKe1RLj62HrmVakMZwvctGGYnnSRwYxJWPbq2CuX1HDn1hQr96X5r4f38eju9Djli12yNBR/3rlptDEqS/D+2zsPmqi7dEGCR3Ymg+UryYKDDFy8IM41R1fQUBkln8/7bhpjByHHQnId5tZEmBH3yOX+tMn3nh5kfWlYNa7LpEwHTZGwbJddgya7Bk0eBGDQbx7/ad0Qpm1z3rw4zZUGv3thyD/PAu88usInL8HLKm8bthgpOGiyd47GNsXBi1yaUeUpSj55Sg050+bpvRmKtoOE14AfyhWJaBJZy+Wbj/VxxaKY//uzKjVfXdsclwipEvmi60fgFByZ7qzM3hELQ5H42Zvn8NUH22gdY11t2i49I3nqYhq2bTOjJsoPL27kE/d2+q5B5XsNG8cu8v5jEn5jPPjzsU1xgZACnz29jhvXDbBrePyamcw7fPLO3WzoyR+0jb8qwX+fX4/jwrUP9Zb9TJFgWlyjK2VxoFKn6MJ3H+/ipBnz+fnyfTy406v9FtWF+OI5jTRXhnBdlzXtSX63eoAdg9Z+Y5POnRvnbUfEuG1rhkd3Jf3jWdoQ4pqjKzluRgJJkvzmh7iuVVX13XtETJSoM8LhsD88LPaQIsMSRu8rgF/7iucW9fBrDTMSmj9IIQXo/bF26q9kY//lhmheCU5B1JViwNtxnJc0XPqPQFhOYQpvZEiSRDQaJZVKocqlxvgBtpljucXJ4DhOWUNc2OOC1/TrGEjyzYe95tjZs6JcODeKbdsoisK8kpmecLfcM+QJfVzXRdd16t2Mb3ktIv4UWeLiBRX8cc0A921P8qZ5Ff46tW3I9pviE2F4kiZzEBIQ1mRCqkRMl6kKq1QYEpv7ChPaf0c1iY+dXMMZM6NEIhG+/0QH92zzxAv7Rixah0zGGkGqUklFPQZ9gee3bLBsh7guI0mM4/nu2Zrknq1Jvy5WJGip1MbVYwAfObGG2zcN05OxCWsSjuNSsF12DpplA5gCY9/avx5fxbqeAs93ZA85m/5AEDzZK4l33bS7zKkJ4G/re1nTVSBtuiQMmZYKlY2948/NRPwteIMGJzVHOGNWlPnVKr9dk+TJPaNZ9XuGTb78SC8n78jyvqUJZlRo/r5jrEvYXzeNYLtefbekIYqu6/53TJZlVFUlk8kgy7If01MsFv0Gs3CghVFe6OiGED+7opm7tqX5/eo+NvcV+MS9XVy+KMP7ltUQM1T//YRCoTLhlxDfiZhGYTsuss7FfUIMQwsxUYss8+dr5vLuv+zCduH+HRkst5P/PNmzyzZN01e+v9IxPS+H480bRfEs+Ejxp7C8dxwHXdf9WI0Xy8uKa/YfDVON8Sm84fFSsiTGTqyLG+pEZENYG52mOqUlSlPMu6Houu43UcR7EYSnsESsi6r+4uW6LsdNj5C1HJ7ak+aieTEe2JkmY7mcPy/BPx0Z4w/rkyxvTY+bGMzZcNM6j8QzFInmCo2j6g0uWFjJvGrDv0GGw2Ey2SyfvLeL3UMW715aQUuFzq1bUmzr8zbnmuwVkynTLZsGjOsSHzqhDk+b7hFmv1ntEaTvO66WKsP1XwPwC4mlM2Pc9M5KNnSM8K3HexnI2kR1CV2BWzan2TVYGjCo0Hj/smqKxSKSJHHXdo+Eu3B+nJqKmG9HXygU/AU62CTVNM0/z8VikVAo5GeK2LbNjAqDzb052obyzKk2/OLeNE0W1Rr8x2nT+M2qPjKml5u4oDbE2XPjnNwSpyqi+VOAwglAWO0IhwHLdnl6X5b7d6R85bT4jM+fG2UoD/dt97ILP3BrKz+/cgbz6qKEMDmiPszm3hxrem0uWxgtu3ZFAWWaJjsHRgvBoxtCxJQi2ZKdZn0IPnDiNM6bF+eDt5dP2Dou/HXDEA/sSHJqS/SATXGA1mGbd/6tna+d28iyGQkKRZcbSyqxdx1TjSK55FyNz93VRuuQSUyXsB3P7jVIdH74+CrevrTOP3eu6/r53xN+n8ZMaK7vzrN9KM3R9QZLmxP+cElwgEVcc+L3xxJrjuMQCoX4yPGVbOvL0Z4sMqNCZ9+IScF2qQkMIwwXHDpHSt/X0oZgbrVng53K5PjvpwZpH7Goiyj89yUthGTbvx4Nw2Dp9AQ3XS1x9U2jqrurbuniN1fWMy3uvU9R1IrBjFciv2eqMb5/TNZ8cRzHPz5Zll+00n+KwJzCFF7/eLGDTPl8ftyaF1R3CsV4kA8SzThdlfjSQ91lz3dMQ4i13XmuX95Zpp6RJXjrkZVcMj9KY8LwLcjrKmI0J1Tak0W29Rc4pt6rnepDFrOrdFqHTB7Z7RFFwSxw24XaiMxIzsFyvbozFVCCH0o2uQRs6cuTd8arXqojCvNrdOK67Me4gLdGCvLItm3//AmFhsjiFmvw+u48/7Oin6GcTViV+PjJNTzXnuPxPRnef1wNZ82pYFtvlm19WXYNWuwcKPgZ2Y4LN21IctMGjzgVkStBNFRFyLXl/M/qC+c0YpkWP3x2tBE/ETqSRf7vuT7ev8xzS/rq+c185YF2VrVnfPJx70iRc+fGeXRXilzR5e9bR4m76oiK45aUTzGd2oinfgppMgXboW8kzQO7vHNw+swoVZrFDy+fxXtv3lWmLAd4bHeK95zQSDabxXEcmis0PnVqLf/9ZP+49z2Ys7n6lr2lT+/gkbdhQ0+eyrAOw+Mbf5bj+m5Vsyo1zpiTYF6Vytcemdia801zYvznqTXoRoh/u7217GcScPM1c6mKaqQzGT5+Txd7R4rjrPzH4j037yRtekOmVx9Twz8dleDmdYM8ujtDb7o44bBHSJE4ot7gvUsreGRPgbu3ejaYwrYT4PimMP90VAXHzazyr8t8Pu+TkwLienYch0gk4ttmBklIUTcLcnMy9Y4gZ8UQ62tRca3IEnOqdLb2m6RMx7eqHWunbpqmP0TweofIAR2L4B5P3MteTB09NXA5hSm8/iHuB4pvpX5whdVE98jJXENEraQoirde5At876l+BnM2Myt1PnpStc9RZrNZqmMhZlVq7Cm5D+0ezJc9dzQaZUaFRtuwxXDe8eoTXeOCeTH+vHaAdV05dvWmmZ5QuWtrkl+/MDzpcRyMCvrk5hDfumgWllnAcRzC4bA/QDmSt/mX2/Z4oqEAig5s6M7TnymyY2iQFzpGhSxjVednzY7xkZPqWN+d4/onuynY3oCfLElkJ1Gop0pDA4oENRGF/qyN444eS0NM5c1HxDlrdhxUnWtu3OkPEwj84rkB/unoam7dOEjOclEn6Ent7/z88vmDU6RPhJDi1WoTYV61xs7Bl4fbEQO3E0E4NQXxZNtojZAsOBM2xSfDyc1hFtSGqImqhA2dkaLC1UviXLqokh8+1UV3QFH+7N40z+1Lc+XiKt59bA0Gtu8OC9CXKfJwSS3+7mOqygZPYJQvikQiZQ1qx3HGqa9FpIH4ToUNncvnhzl37lx+uqKTJ9uy3LklyZN7Mrx/WSVnz4r6vQhRMwpeXLwH0cQWHLXgxh3HwTCMMidNwzCIOzn+cvVs3nVzK5YDj+xMksqZfPWcaWV1S1Ck9XrFG6GeBO+6yeVyE9aLwSHLFzvM8I/KVU41xqfwhkcmkzlkReZEE0XB5utEi8IPVowqF959bI3f6ArmpIkbjeM4ZLNZn3Ssj+nouu4vju84qpLNvXm29+e5f2eappIC4qGdSayizWfOaGBtZ5ZkwSkrlOqiKgPZIo7rZeoJRcwdW1PIEtRHNRbVGZzcHOLE6WFmV+nsHvKUFSc1h/nB0x4hJuERdMOF0QVxekLluOkxjp8eoSGuk816x/b7dcOkTYc51TpvPbIKu+ipdQ3D8LPmhMJXkiSOml7BTdfEWbdvBFlV6cjAH17wGq2aDD+5ZFQxsGuwwJrOLLIEly2M+4vyWNJInDtxjoM/E0SUbdsYhsGMCo3NvV5TVGSwCYVGOBzmysURjqzVmVkboVjI+41vxzFxXdXPAxZqDtHg7UoVeXBXhgd2JP2pUVmC45rCXLmkhqNqZCJhT9FeFZG5ce0QjgsfuWMfP7l8BrMqZE6c7jXtl+8a5vxZBqrqTQcKNYmmaRSRy6Ztz5k93hGhbSDN91aUxwdoMly4IMFTbRmGczb3b0+O+73JkDZdPnt/J6fOTDKvSmEobzMtqnBWS4gRS+ba+9poT1pUGjKNCZUtfeXfta+dN50TGrzc76D9j/jsguSQsBhyXbdsCvr57iS3bRziLUdWsrBW96cjYbTQEZ+xmHIT1i/FYtFvSGiaRliTufaMOj59fzf7Rkx/g/Ln9aO5rY5LWUQBwBfPbUKSJH74dB/ru7JENImvnVNPGAtV1f0JUPGdr08kuPvdKpf9qc1/jg/e2ct3Lmzi5JkVPskpMnReCbxRisKXAjFNGbSSEzgYUlJsgsSG/FCGDaYIzClM4fWPQqFwSHbFwXtEMHdOZMQJskFYZ6qy5BMmghxa3Z5hJFCTLa4z0GXv70IlUx9VGMo5WI5LS3WYGdXegF2hUEDTNCRJYlFdmPZkio1daY5vqmVff4pfPD9I65C3BskSvO/YSn4/hsDsn8BmcjI0RiW6Mt57G0vmucDu0mu5eArdxdPCPLYrSX/W5ofPDPDXTUmuPqqCc+cmiIS98yVyjMXQpG17ZJX4U5IkbMfhjm05fre6D8eFOdUGnzuthuYKjafaSoOUOFSoRU5s0jmxabSW6B7JsbI9x0+f6cVxocJQGCnY45riAN97oouSqIv5tSFwijRXR7j+8gR/er6L342xkwcv4zBjOvxlbT/DuSIfOS6BIkt85dwGvvhAJxt7cn4t8uiuFCc3h3i2PV9G3BqliYmGuJd/WBf1hhxEJn26KPP4Lq+2u2xxtf+6Z8+OcufWchXNY60Zrj7G8vcqhmFw0ozJ1zKvubz/tS6oLJpRobFvxOKOrSnqIpPbML7/uFpObwkzLerVbR++c7xlKsB/nFrPBXPChEIhrl/ewa4xKqqvnF1HdcyrJxVZ5n3HVPGtJ/p8NbtSOrdjj0A0zWUJblk3wF/GODKAdw3XRhXeNLeC9yyrRXaLuK7Llt4c/dnymuGI+hD/elwl82tDhMNhn7wsO08BxZ3jOL6COJ1O+5FBAmLvJAhN8VhxzwiHw34DWXw3JhoMfTlxqAOXi+oMPzN1ZqVG67A1oZ36a1HxPhHE3kLUlWM5hIMhJoVjwKESmWKfOIUpTOH1i3w+7w9AifX8YC2qgxzK2JzjsQjeXyzL4uaNI6ztzhNSJa49vYawJvvufKI+PbI+5DfGh3M2vSM5KsOKz+2dMyfB70o83rqeAssaJaoMj/9a1ZHj16sH2T5glimqZ1XpfPT4BL9dm2JLX8n1ZIL3G2zKT0+ofP6saRTyOT8DGkpin0yG59qtMmvt2dU6A5kiyYLDvTvSZc87VgUd02U+f2YdxzZF+d3aYf663uPQEiWXSbf07iKaRGNco2PEHNdMtl3ozYxfd7vTRZ7Zm+WsuZVUao4fuXPl4kru3DzsP+7m9aO8XdGBsOq9x6IDJzaH+a8LZ5Avulx94w4yh9CrPtDAwWRNcaCsKX7O7AguEo+3jg4WTKasnwhjG/Di+g6rkHuZdSHPtud4tn3yhu7YLHnHhds3DXH3liGWTY9y2sw4YcUmrsvcuz1J0YEl00IcMz1etv6KmkUMOwrFtagJgm4/wi1GURRfwCX2htMSBteeUccF83L88vlh2kdMvr9igId3ZfmP0xuYGfL4pLF8quu6fn0pGvKFQgFd130+HChz3FQUhQg2N79zDtf8pZWC7fJcR54vP9LLdRc3+/svwZe/UvhHVCwHEXSqHHsuDpbLzWaz/v74UHjmqcb4FKbwBsXIyIjfVBSqxgPd2MUCJhYT0zR9i5KJbhYb+ovsHBgtTDuGcsyuUPw8xCChJya4IpEIA7lhACr00U2xmOq69vRq7tmu8+d1w3SmvPcrAY/vyYDUw5vmRLl9S8ovdprjKr+4cjqyLLO13+SJPRnWdmToSluYdqnRl7boTls83uoViHppLb97W4p7d6R9Ak48Z01Y4a1HVXParDi1uu03iYXSd21nlod2jCABHz2xGk1V0DXVX5Adx6Fg2fTkZbbu7KM9adGdKjKYdxnKWqRNx5+0BPjBxY1lBcbft3gE32ktEeqjo01Q8RmOLYwBtvRkqQ+51FbGsG0bSZL8Rno+n2dGpff5tfZnUJRabNv21RWCWFrQEPfzn8VnIl7bdV0KhQKhUIhs3uTJ3SPctyNVltFeHVa4cF6M8+fFqI+qxGIx0um0n/32gePr0XD5/dphXOBjd+3jO+fVc+acCn63Zpj13XkcxUDTZN8yR1yL6/cM+FOmugznLqjGUEftxJe3pvjh057iPaJJgETWcrAcr2D//Vums6Enz982JVnbfWjWfU+3pXm61OO9+uhK+rNFvvRwB70Zm5qIQlRXypriqgz/9aZpHDnNy/x2XdcfEhE54MHFPhwOY1lW2USjwPZe7+8L6rxhBNM0/Wlh8RkHN4diujNIrAUnHWdX6fzbSbX86Ok+33IzP6a6zwR2TbIEdYbL71f381irZx32tfOamVUll2XwiOnMoNLl7nfP5Mo/t/mbgC8+0Mk7j07zzqOrfOX7K9Ww1jTtZWnCv14a7ofTCkrYa4nhlYPBP2qxOYUpvFFgmibJpFebiDXsQPEKwZ+JmsK2bX899EmT0sNk2VsjLWvUvjnYCJSAzX3l95wjp4X50RUzuWVNL796fpBfPdvDsnqF2pjhNz/z+TxH1Id4eFeK7QMmf1s/wB/XD1MIkFKOCzfsR9UjEMzcDuKsmWGeaBsloFw81cneEavMcjumy3zspGrOX1RLLpfjnUtiPNSa56a1A3QkLb6/op+bN47w3mW1nDXbI5/EgJtQkIt7eaFQIGvL/L8n+ljd6b32eXOjfPKMJih6561QOrn6GHtGy7LQNI0KHS6YE6Y3U81N6wYJaRLfOH86n7x74qx1UYdt7cvznr+1Ux1WmFdjMLd64uGnjOnQFFfpShe5b9swyYLNl85pBKvAty+czmfv3suOwGe8titfpnbWpFEFTWPcew1RFyulLv0ze5Lkii6NcZUjajWfeGuqDAHljfE9wxa7BwssnOY5McmKws4Bc7/qoSAE2XrW7DhPtKbKzgmA646e56D96FhC+v7tI1yztIoHdqa4fnn3hATu5YsquGBOmHA4zG9XdnPv9nKS+/y5UU5sjvgNftM0ObE5THNCoz3p7Z9E/XVsY4h0ociOwXImdmwTQsIj5f/52EqOK2U8ivphXW+emzeMsKakcpYlb7/Ul7XZ0Z8nWfDsDFe0jnBco+E3EATE/kXcN8ReRjQkAL+WFHaJgE+eAn5TXDTWVVUtc+55pZrKEzWCD4T5NQbiejxlRoTWYW8o9UfPDvKls+v95309NMYVRUFRlMNSV4tBa2GTejB19dSw5RSm8PpHOp0ml8t5sYCGxzkVD1IxLhzzfG6qVBeNddwICnUAVu1L8cdSQ/s/z2hkQUMc13WRZdlXI0YiEY6bEeee7Sk/Jm/PUIETEp7HummaHDNN85/zoZ0pjm3w9rlzqzRWdeR4vrOcazpndoSvnD+TYrHIdxsr+OgdbWW530GIpjjAcK5IzrSJG4ofNxIKhegZyfKDp/tZ1V5yWCkpkVsnsCAHiGgyRzeEeXZfpvR3iR9f1kzUUPjMfR1+ox5G7dGPaQhx0fwYJ8+I8HS7yU+e7uFQUr7X9RR4502tzK42/AZssCkehIh8FE3xRXUhPn9OM/dvHeChnZkJm+JRXaYhrrFrYDwXcThW0ZAq8aET66nQXK45to5P/L2NfNE96KY4TF5XiqZ4WJPIW+5heb+HislWWsuBlfsyrNw3Pi5zY0+eC3+7HU2W0FWJkCIR0mQiqkTMUIhqEnFDJmEo1CfCVIYVqkIKCbVA3LAwVAm5FAMa5KWi0ahfxx3bGOY3b6/mz893c/OGEdZ15/jwra1cf1kLcyskv9GtKIovHhMKclVVfafMbDbr3w+E0E9w9YJz1bH589uaee9t7WQtl7VdOT7+9738+PIZPsf5Sg1cHkzc5ovB66XZLnj/l+J6LCCupUPhP/9R68qpxvgU3tAQ1iVQngcusjUEghnFIps4mN0hmm+T5fh897EuYJTw6c15haW4sQmyQ1VVf+rKdV16U95r1Ea8fJAg0afKElcuinP+wmp+8UwXj+7O+MXC461pjmssb7B89U0Nvp33koYISxoiqGojpmnSm7Z4eMcIa3oK7B4o+NmHgqQca7FYF1HpyxZJhBTevDCK63oPDBbZimbww2f2At70/8O7Mvxp3TBDeYeRfJGc5WLa7kFZbNZFFS6cG2PBtJh/3odytjcEAFy5KOE/ViifRI50UFlhOy5ffaiDtOlwckuMM2dGOH56iJDmFQftSYvbN3qbgM60M26BEM3nTCaDoii+5RRQls3SMVLg3nW93L9tmKGcd24kYFlTiCuOrOak5iiqIvufs1CBiOy/fD7P25dUEA+p/PRZT6X/xYd7+erZdUyLqfSki/zwqW4uXRDliIYY+XweWZbJZDK0JkdP6MkzIsi26WVLFh1+vXqI+0pTsYtqDb52wQxWtQ1z/QrvNZ7bl2HjQBUnzqygMwtru/NUhGRG8uOLjwNNmLZUGFz7YA+DOZvaiOJZgAaU7IoEP7m0kRkV3uJqmmZZU1AoW8T3UChcJhpccVzXV5jNiI0ScGLzJiAGUMTmUgxLiMa5aJSLovDSRTrrOrP+dbY/zKrUeLQ1yx9e8M7lf57RwAkzYn7+tCi2xPsRuZHC9v/Od83k6pvbSJcO7cb1Sbb3FfjWBdN9lwNhBzaZ7eKLgSBcxUDHy9EUf71YK000cPFSIa6ryQpOMRwlrvcpZc8UpvD6RiqV8muhIMk4dtArOCAo6r/gsJZhGD4JKeoqQYSGS5bImqZhTcBDuHiDZ+fMTXBqS5xvPNLB5p4c3akily6I8fCuFLuHLP6wLsWnTjPI5/PYjktH0mIg7a0BL3TmeKHz4O7bgmgczQaGj5xYxc+eGxpXKzzZVv6cp7RESeaL43Ko06bD/TsznDyzAhUIqTLXHFvPebNC3LM9xW2bU7SPWHznsS7+vGaAq49KcM68SoolsjaoxN3ck+ObD++jN1NEVyT+7cRqzp8bQ5NcRDUhmspjcwuh3CnkbUdEeWTnCD3pIg9uHSzLV58ZUC8JVIU89c9gzua59izPtU++xnSmvPxw03ZZsSfF5+61+Pq5DdREdf7fpTP59N17aR3yiJC8DZHAmZVkGCyUFOMxb0igsSIEjDaJxed56aIqisWiv6cYyoyu+9OiMj0Z73r7wVM9vO3IHCs7CjyzN012P/k6JzWHmZ5Q+fuWFMWA8npVe5qPnljNz54bLGsutycnrjVOmxXn8d2jTfqulMVFv90xKTF5TEOIfz+5Dl1TuXVdL39eP1z284aYyidOqQVGIw7WdJv8eU2f3xQXiOvewMHBVFcu0Dpscd1TAxzblOMtR0RxZJc/rulnfVep8SB59u5vOzLBzNoY33qkgxVtGb79RB9Hb0/zfHuWU2ZE+PZFLX4jWzSRgxFM4r4hhmYsy/KVP5Zl+USncOISWeTBuitY24m9hhjaC+5pDwfEHlrcAw+1rlpQM0q6daeL/nfs+cD9KOis8VqFIJcPd10t1KOT1dZizyEGiacwhSm8viG+567r4toer+W4lPGOgqt0XRfbtsv4r7F8imgcByEaZIZhMJh3+P6Kdlzg0kWVnDUz7K8rmqaVxRAurvPuMSK7ujNbrlKfXaX7itv13Tm2D9n8z/JuugKue2FVIld0ieoynzyzmUw2x+OtaW5cP1L2OIH5NTo7BsrvqxkLPnhHB5csiHPu/CpmJWQG03nec8vesiHNYB1SGZL51BmNLKySeKErz43rk+wbMf2mOIBZdFnRluaPa4fK7LsTIYUL5sW5aH4cBYfHWtP8823t46zaAZbUG/zL8ZVs7DVZ05ljfXcec8zDXGD3YHmjqy6qMiOhlkWJpEpuoEXHG+SsMCSuuXHnhO5FAjnTmbApLvBSc8LzRZcP3NrGPy2p4G1LqvjhxQ184t7u/b6ng4FQzwNlav9DxUdPqWdpvYojaeQsm0yhyJcf9qKnTpsZZWGNTtGVKdgu6YJFoeg5q2ZNm4xpk7Vccpbj/ZvlHHROu3BoLdhuadRvssbxyIT/KuFFJyiyhK54/xmKjKFCWJVJhFRCiktFWOXyIypZ3ZEhbTq0D2YZzCiE1QKxkE44n0eyi4QKaapiHp8Yj8f9vU0oFPL3o8FeQyQS8d2LisUiIQ3+9LbpvO/WTlKmw7b+Av96exs/vazJc9wsubb6e9bDFAEpXJGC2diHuwn/eol8FPuCww1x7x+7dgiIela4r/4jYqoxPoU3NIQyW0xSCZimud+NrLgZC8vciW6mYkr+5o1Jf1FviCnsS9r8elU/v17Vjyx5RU1UVwir3kRfZVgjrMroisv2UtG3fdDk9o0DRHWViCYTUiVkt0hYk6iMKnxwWRWXHlHDT1d00Voi5VZ3lRdAc2qjvk2KUHQLNaMmW1RHVBIhm6Jz4OmjvlJedeuQydtvaiOiKeiKVwCkTYd8sbxo2NJXKJuwnAj+udBk4obs5SOGJZoSOm+aGyehl09y3bs9RdGBhbU6i+rKb9CTLW6DOZuIJjGY85TTy1tTRHWZU2eEuXBRDWFNYaBkX986WJ71KZS7QQJJlmWi0ag/MPHsviz37exjdcfotVQdVjh/bowL58Woj3m31KJlUrTwm6LgLUhBK5tcLsflR1QS1VX+33KvePvm433MSHjP8eiuJI/uGrU7VyVvgCBoRdWetPjGY70UHZft/aMDDwtqdI6apvPAtiGwi9SWMo8Avv5QO58/u5G1nd4xmJOMe+6vPJWALz3cRb7oUhNRGM7b44rIr59T5zfFYTQPRSpNR4rJ5XQ67U86TzbJ15MukrVcNBmaE6PLlnBZEJ+hIAyFbdFEZF00GiWbzbK1JwOyzKfPamLn0B7aR/ZfLF06P86Pn+kD4Oql1Vy6qKosF6hQKPgbWGHNGlQSh8NhbvqnmXz0rg7aRrzv1/NdBf7ltr384srpAGXf3cMFYcf7ckCc69c6eQn4JO7LBfH9Fk0uYasvNiKVlZVEo9HD+tlOYQpTeOVRWVnJ8PAwxWKxrA7Z30ZW2KHBKAEq1sQgxB1K1xR/oPKFzvL7t4zXoK4Iq2zvy9E2VCCmy6RNh0/f3cqShigNCYPdQxYP7hhhW1+WrOXSn5k4L/lAUCVoTHi22FFdwczZXLqokqESOeg7DEUUBrJ2WYOzMiTzzF6PgPQIPrlMPby2K8fbb9zFf57RwCVH1JBOp6mpiPHu4yK89ag6bt3Qz62bRmgbNvl/T/Zz04YR3nl0BafPknFLDj5/35rity8MYbvQnND4wln1LGqIj8tfE4SnMUljXNRrIVXmw8dX819P9HH/rhyOOzooOLYpDjCUd/jMKdU0VOhs7s3x2xcmJsAERPNZljzFyYdua+M9x1TRUqHy4ZPq+d7yTgZK5yhwqjBteHzXsH8M+0Ysn0AvlKYnutJFJODYpggpWyWZzOM6Eht7Rq8zVVZoiEJ3xmH7gMl3lo/PFJ8IVy1OsHhahDcvivHe27rKjudnzw1O+Dv/vKyajT05nu8Yff2F1SqP7y5/3GQrc1Nc5UvnNKBrKg9v6+fnY15HluB/L2/whh01neWtSf60upPdQ97npEje5yYGdFNjtn2KBC0VGm9ZHOfcOXEANg/Y3Lyun409BQq2S8ZyeKotzVNtowMIMnDh/BhvO7KCmbUxP2LrM6fWYLsSz+71muIAvVnbb4qL4Vr/uAMxQMH/hOo9SFCJYd1g7JbIFAf8YWyraPsNa/Fvh1t5faA99IHQEFMJqRL5osuOgQJH1Bls7C1gOWA6MlFDeV3UlYZhkMkceLD2xcC2bd8xTPxd1JTi/6urq6msrHxZXn8KU5jCK4fKykpM0ySXy/kxLUXH3e/+XdwbgHEcZxBiKFPE2RUKBX733ADDeZvZVRofOCZOsVj0+Qzbtn0HP03TqFYcmit02ke8520bMjGMCp/HUWRoqtBoH/Fyxj91z2gcirjPi6HPty1OsGrvCH9cM0RbSUyhK96woIiSUST8hqsiwYdPrGFFW5b13TmylsvfNiX526YkjXGVs2bH/fpBwlNXv3lxJU0xmS8+3M1w3mFNR5rTZzdxjKxx17ZytxnwrMB/s3q0tphXrfPmIxIc0xRmdWeBHz3dx4ae8vq+NqJw2cK4H5uzsbfAtn6LmrBCXVSlJqpO2PAfi75Mkb7M+MeJFdu0XVaWLMCjmuTzfOLciL702BqqwpCYW22wfaBA2nRfUlNcvFah6PKHtcPcuyPFh5ZV8ZWz6/jyI70H9bthzdujjMVYYdaLxUPbh1lcU8OcGgXDiPBCx+jn/Mkzmkhobtl+IBQK+WKcIISAwbQsHm7N88vn+ihMwJPOqlQ5fWYUx4GRgk3KdMiYjt9gzxddCkUH03YpOlB0XRxnPLfq4g1AFB038DrBhvDE3Pr/rNh/3S5LXmPd0EpKdlUmoivosktIkzEUiZAqETVG0GWXsKZgKBAxVEKKxKdOreb6pwdImS57hi3+5c4O/q/EVQrRkRB9HA4YhvGyNIMFBO/+enAhCgo3DzcE1y72BeJ+77quP6xbU1NTtrb8I0FyXw9XyGFCMpmkoqKCkZEREonEgX9hCm8IpNNp9uzZ85IsdMf+rj/xj8pVf95J0YHqsOxnhr9cUCRPST52Qk8C7njXLBTJ9RuFXSmLVV0mz+7NsLEnV6bcro8qnNIS5fgmg28/3v+SJ/5U2VuA4yGFypBMXVRjWlRlelxhVpXOjISKrnpNT6GMDVrHCAtA8Ehj03Z5/23tjBQcrj2jljNmludoCyX2RLcv13VpHbJ4fE+GJ9uyZQVndVihIa6xuddbfP/vLTNojJY3Y6PRqE90RKNRTNP08/y+8sBent6bRQKOb45y2aJKTpwRQXIdf2EJYn/Z9kFy7LEdQ3zrse4DnufXGqrDCoO58RN9lSGZP17V7KvAg2oY0SgW50YouIMTjGPxVFuG7z7Zz4Jag59dObPMDkzkxwsngeD5FteVGG4R08+24/LJ+7rYM2Rx+eJKTm02+MrDPZNuHCQgUsoHPWNmhM+fNY2QYYwj7sR9QkxgBpvzwSGJ657oYfm+0QLw0Q8f4ZNdQavMw4HDaR0exP6mDl9uiM9SNJ0PZqpUDGO8XEMCB0JNTQ2NjY2vymu/XPhHr6n+0Y//HxkdHR0MDw+/pM382PogHA7zb7ftZvuAybfOn86x01Qe3pXmh8+Mzzx+JSHIyuDfF9eH2dqX8wfiDAWqw55N+ERY2hjmwvkV3Ll5kG39E9dEDTGV6y5soD5u+OtKNBolXbC5eU0Pt29JkikRa7OrNK5anGBFW5ZnSqThmbNifPK0enTJWw+EAkI0Hz9+TyetQxbfPLeeZU3hca8fVGe6rssXH+phQ6+3Fn/y5GqWzqjggS0D3LQxOe53xfsHTwEL8JZFcW7fmqLCkHCQSB0mAvD1BAkwSsS4QESTyU5SbIVkEGIsVYIfXzmLGVGHDT0FvvpoD0Wn3M3ouxc1cXRDlEd2Jblp3SAdyQOrQRQJTpwe4oPHVzF3WpVfu4sBaqGGNi2Lm9YNcsuGoQmV9LoisWRamCsXxTgucD3976ph7t024h//jy5rZk6l4teAwZpMXHOiET7RniaYAS8cioLWiB0DKTb15tnYW2BjT56mhM63L2oBRqOnDrdbzv72NgeLzz3QxeY+E0WCX1/RxPvv7ATglOawb6f+SkJYR4q68mAGKcPhsD/A8Gpgzpw5kzrZvR4xVVNNnYN/VLiuy9atW1EUhfu3DXP9ij6Obwrz9XMP/l44kWgkHA6Tz+f9aB4B03a5cWOa82eHmJ7Qyh7ruq7vwCccMX7y7IC/ri2uM7juwgb/NWVZ5v+e6+OWDUP+80c1iQ8uq+KEljjv/WsbLhDVZBoTmh89GdNlTpkR5qFdGSS82nIsHVkdUfjDW5sB+PbjvTzbnqMypPjq3okQ02XetbSaxgqdrz/srSsfOamOW9YPMpizCWsyc6t0NvWWu8fIErzliATzajSe2ltg5b70ONGHpkj8+8n1nD87RMZ0+NR9XXQcoAG+dJrB5YsSuHh81lNt2YPOjwdvEG/JtBDrew5ur6GVLO8PhdmtDskgwWDOoSokM5x3Dvj7miJhHcSBVJae73BiMldLGfjcGbWs6ylw33ZPw/3IvyzyB5lFQzDIs8my7OdyC35ZxDWlCzY/e7qbB3aMr/sNReKtixNcdWSCkDrKJYumoqjnCoWCL7IqmCYmCh39KQZyNkM5h6G8TcaWGEybpAoOuSKkCkWygQZ7oVRi1EcVZlbqmA5kS0K1vOWQt13ypdjMlwvvPKaaD55Q70eQitr0cODlUnPLsuyL0l5piPhUEcM6UZ9gIrxcivGDgaqqLFq06FV57ZcLh1JTTSnGp/CGRyQS8RtUwtr8UOdBxj5eqCT/67EOv2ga2xRXZU/Vk7W8Ik2WPHucg31lCZAkcAOWhbYL9gRFiAs82ZZlelxmdbfFk61J2sYoW+ZUGxzTYHBUvUF9VMFCJluwqY4oBzXVOBn+/p45yK7t38gF6SPyTYLT9EHFRPDfg5nR4FnFjxQc6qIKp84Yv+kXFpoTET2SJDGnWufI6RV85BSHNfuSPLk3xxOtKSpCMl8+q453/nUfAN97spfrL24s+3zFc+dyOd+OUGRGX7EwTkulwYXzYtRFZP94hFW1KKzGkl8TIVWw2dQxwt6Uw47+PPVRhd7MiydX4rrMskaDhoowVrGIZbtYtosjKeRMi029+bJrVBmzAQkrULAnV+5MhLFNcVH8HtcU9m0cxRSy/zolG55DKYCEjfqcKt0vZoUNbfA6UhTFH1oR02/C5loMUoRCITKmzZzqEK1DFn/fPMzy3Qpnz4nz0M7U+BfH2yxlTIcjp4X44rnN2FahrBhUFMUnLYGyhr//HAE1/OfOmsbcDUPcsC7JH6+qf1mbteL6FA4Xh6M5rOs6lmW9KrniIpt3outHlmX/P3GsgP//6XT6VSs4X40BgilMYQovD2KxGENDQ2U1z6FiolgFkTGuyNCRNPnxs+VN8VlVOvuGzXGkmsjNDtpA7i8OJWirqMoeYWk5Lvni+Pibif4eVCCDVztM1hQHWNeVY13X/hWg3eki7721nbgu86Vzmziq3lPDyq7Le4+r47KFce7dmeNvGwZpHbL43grv3MgSfOi4St66pGbcuhz8u3DHGZsxLiDUmWJ9CK5uuioxo0InbIy64DSXFFLB9y8gAfeUYm3euriCqojG9Sv6iBsyZoDkeqPDhbKmODBpUxxGm+Lgqbj+/Y49ZYMZwWs6okn8dcMwXy+5Fx0sTm2JcO0ZdQDj4hBisRjJVJrl24a4ZeMIe0ufb1iVOGVGmIzlsqm3QNr0lEAvdGZ5oTOLJkssqg8RUiRWlRylDFWiUHT54oOdXHfxdBaEJN9VJhLx8tBlWUZVVf/PsYomUa8ZhuHXcB3DOTb1eI3wzX1d7Bspb1D3Z23SmQxywJ3mcNeYgjQO1lmHqvBeUm+wuc+7l+UdJrRTf6Wwv/3k2JpS7DEkSSob/H01muNTdeUUpvDGgCRJxGIxRkZGECWKfYhcpWVZZdE8wk5d8BFl64um8JGT6vwaFvAdSYIxGUJ8cEStxr3bvN9tG7Z8QYNo+hwzTeeWDaPvZValzqkzo1THdK5YXMkzbWl6M0V2DhQIqRJvO6qaC2aH+PzDnuK4rsSBjRVcZAMq4389oZq24R6mxVQ+c/Z0tvXmeGx3klX7MmVN8rTp8MtV/RiqxMIanW0DJr9Y6Tn+qbJEznLY2DueB3BcuHVzeQM0rsukSu9hTpXGVUuq2TOU51P3DbFz0BxXH4dUifPnRjmmIUzrkMmf1o+gqTInl7jMU2ZE+NhJDu+9tZ3cQdYtDuy3KT6Wz9tfc1RY3o/FYKn40hX46WWNWA7cvGHEj2cEr+aqDiv0ZIpYNgfVFAcOe1McJt/bOMB3n+xHMG6qhB+9GYvFSKfLHQNETKr47ojGuOgb6KrKZ89q5IyW0Dh1fMF2+cuGER7YmeZ9x1RyzpwocqlOE/WQeP4gV2koMLcuyuwxA3iCSwz+m+CnVVVlOJPHdiFhKD7fLGoA8fdsLo+r6KTzFjnLxnJlhtNZ8kWXfNHBlTUypk06Z2JLKrlSYz2dtygUXXJFh0Lpsbmip2IX38e/rB3kwjlhaiIld9TDWH8IdwpRY4lYh5fyGrIsY0wgYnqloOv6hEKniWpK8R/gC6xeDSGPiHv7R3W3nGqMT+END2GHnU6nfaXy/hojgrgINpBEXnHw5rpnyOS5jvE32y+eWceNG5LsGSowPaHRNmyRLzrc8LZZNCRCDGYtepIFtvXl+NnKAWQJTm0O8VRJQSqIHxevKb7fY2O0wPneU+PtbBRvAJCi4+Xa7B4scNvm/T/noeKKP+7m7vfM8m/uxWLRb36KrG6RGyIKkmKxiKZpvs2zUDMIIvOOLV6D8vKFcRR54puzUHYEVcgCosg3CwWOrDc4YVYVHz/NpSdVoDamUhdV6MvYbOsvsKM/z1HNlf4EnCjyg4p08f8nzKri+JneBiN4DcmyXKYaENOCYhCjL22xa8hk96BZ+tOidwLrpMkQ0yTSYxQrijxKogOkTIcn2nLIUo5ZVQYLqjUW1hksqjWY35CgK2ny/r/u9gc5gvXsxfNjfPSkGv/vn3+wm429h6ZaPr4pRH/WZjjvcOrsqrL892BhE1SaiIVfWBoFN3RBtA55v7+wPuJnMBaLxXFElPh+iu9woVDwv7fB4QcF+NKbmjl/7hD/u3KAvSMWD+1MkTDkMqt6Adv1LD2/eEYtmiJhW+OPSbx/YTEkJk/FsY0tMq46qoqrjqo66PP7YjFR/uGLncwUBfvLkVN+MBAblska8vtT+Yh7wsGsAS8HXg+5RlOYwhQODrFYzP//g9nEClvKYO0gaiWxbuXzeZ8IlST47AM9ZaTbh0+s482LYmTNInuSLus7M2zpN9nUkxvXbJQlmFulM5C1Gcx766QEvHVJNVcfGWVVR47rnupHkbz6sKXK4LpLWpCcIr97vpebNpYPiYm6tDGucVpLjL9tGlUGndCosapr4vubIoGhyriCxnI98tG03UmJrZTp8Pn72wkrsHR6lOOaIsyr0YkYGic3aRTMGH/dmPRrX8eFx1pzNMVTnDan0j+3xWKxbN01nf03xgGfCH5w6wCbegt+U/bXq4dZOr2Cm9eP2m3qpdr0/cfV8rvV/WXH4zI6pHDDmmFmVqoYiqcaf/9xtTy1J8WOCfIgJTwVjvkSXZz2h8sXJrj0iAr6U3m+/EhfWeNZluCKhTHu2DreblRAVySOrDNY051nybQwYdVlVUee46dH2Tecp+cgBjwNGQ4koFclrzke/A4Ez0rWcstijfaH4CDIirYsvwgNUB3RiRtZKiM6mmtRFQ+zemMHD+xI+ccQ1SSuWJTg8kVxGqpG8xq70jZ/XN3Lqo4cyYKD5bhs6B7dD2qKxIeOq+KRnSm2Dlh8/v4Ovn9ZC41hb/8g7hXCulZRlDIlOHj1jm3b9GZdNu9Nsb4ry7quLD3p8d+1WZUaS6aFWFJvcGR9qKwp/nJA2C/6x1ty/DoULKgNQSmVc8+wVWanns4XiYVeGYoq6F42FkGryYkgamlBSr/Sw6JTdeUUpvDGgWiMi5VubNM1CMEvmKY5rjkmy7Jviyvqy1wuV8axCG5C1K5iDSoWi370j4gRBDi+pQJK9s0Zy6F7JE9t1PuZrussqNXL3t+mvgKfvr+b+pjGmlIckCbDZYsqeNeyOhK6xO9W99OZtIjrMr0ZG1kaFVyINTtfdJE0g5Aq06AW6c/adKWL7BrIcUqzwUlNNdjSNJ7ek+TJtgwr942qsQtFl21jcsqLjjsuYmUyqDJ+U7wmotA2bPE/T/aUPaYhpvpDkZrsvd/pCZ2TZkSYFlf50/oRNnTnUfUQtlVgIGPxZFsWVR4/urq/Ydb9YbJyMa5LzKoySIQUVrR5jdkDrVCmDR+4vYOIJpMbI5fPWi5Z67UzjFUTURjM2rhARJWQJXyuVLzzogvff7Kbtx1Zwbzw6DquKIq//xrbLBcQimhFUfwM+IaYSrJgl7kIDeZsfvDMAHdtS/GvJ9VxTJPjizgmcsMM1hPi+yd487GPFTWGJElURDyu3DQ9vjroiuW6o1bxYRWMiEKx6Dk/5CKjn6MYshSDmTDKYYp7w1hOPV90+Keb92G78D9P9fPdCxr2+7m8WIytZ8QA6YuB4Plerab4/jiB/XGVwrno1WyO27b9stq5v5bxj3nUU/iHQ3BKbDKFT9B2GUZvTuCRbKZpEolEME2TQqHAfz/ZN+51PnNaHae2RJhZqfGf93XRNmz5Tdgb1w7y2bOnUxvVqArJZAveAtAY1/jaBS38819305H0MiA/fVoNi6bF6RzOMpAtMmLJ9CQL9GeK9GeLDOZskgXngAWOPcED9FLWSEjz/ixYtk8CCYX63CqNZc1xFGxiIZ2O4QyP7c6RL1VfugzBqJiRokqEUTua4GScbdt+85PSY4SSXNjaCGW2pmk8355m74hFSJW4YF58v8cXzAIPKirE64uF0XEcNEVmeoVB52Ca2qhGX+mYv/RwD29dnOfShXFq4qNZ10HrlUgkUtbYF2SWrutEo1F/Mbcdl85UkfYOiy09aVqHTHYNmhM2WwGmxVQW1IaYVaEyry7MzIRMX7rIZx8cLbwX1YX42Mk1fOyujnGfbW1E4R1LKnBllS29OTb35OjNFP0hiPt3eu83qnWxsNZgXrXO1glsTBfXl2e4/9eb6nj7Le2YBymAOKYhxKfPbOKam3aX8i1D4E5M2ATtd7LZrG9d77ruuOET8Io4YbvVHJP8/J8guTjRa0yWMy6GFbLZLEc3hPnxpU3cvSPDH18YmPRziusyXzunnoaqmD9oA5QNTgiVeDQaxXXdsuMQDgQiw15sOguFwiuuMplIpXgwEIXzq6lQ0TTtRdvMBwcjCoXCYbECPRTkcjmfcJjCFKbw+kaQVAH8GmfswI2IExlbVwr1jqgjFMXL1BU5jL99vr9sPTq6IcRl88M4jkMiEmKRarK0sc4jTGSFvSMWG7pz/N8qLw/PcWHH4JiBKEUimTN5sk1iWmx0HYhoEhu6c3zjwb1888IWVnWMHxoSd893HVPN9wLEYEyXxjXF51QbXHVkFX9e00dn2t6vQnh/yNnw7N4Mz+49cIbvjoECX3+sF/WJXhIhhYQuY6gyhqagy6BKLsMlwvX2LSNUh1UMVUKTJQxVQldkdAV0RcZ20vxqtdf4v2B+Bas7MvRlinzxgb1kLYewKpErugherFJ3OLUlzIq94wkY0XRuGx5dN29YPXk2YLChfiBEVK+5PFGdvz/ctS3JXduSiCsgSA47Lvx9ggxOgLcuqeKh7cOkTNffC+wayPONc+tZ1ZFnbVeG3101g1+uGuLJPZM31uHATXHwCE0x/BvXIHWAHqAqQ0iVcVx3nPV58BJ0gLsnOcYgNNmzfX+uPcemvgIVoWFiukxEhbghc0SdwQnTw1iOy00bRuhIjn7Glu3ys5WDyJKnDkoWHD591x7+34VNzDNGaz7hoCWG/kLhMHuGCl4TvHOQ9V1ZhvLlNaIswbxqg6VNURbVKCyZFqY6FvKHk18NIm1sU/9gML9mdI+9YyDP506r5b23e/ucH68c5Itnvfx26mPjlw4Voh62LOsVrynBs4isqak58AOnMIUpvOYhBi6FK7Pt4scjBiEiCcW9PjigI5psEyn+gupJwWsGfyaaMWKfLRrlsiwzLaLTENfoLi3EnVmYXu2JXnK5HCFVpi4i05f1FltFgo6kRUfSQpHg/Lkxrj6qgtqoCljs6rN863WldLyiFvnX46uYntD46qOe4OcHT3bzhXOa2NqXwyo96GsPddIUVzm5Jc6yRp2z51dxxswIWcvhqbYsf1k/TF92Yn7lYOcOg33hgezogKmuevnMcV0mqstkTE9VHtU918RfPT/I9oEC1SHFrxevvWcP/dkiHany9xRSPVfR/qznKKrKsLju4G3T94eU6Y7LRj8YFGwoHGph+RIQ0yVmJDR6M0UGco7nmMqBm/gDgc+3Nqryq7e08IUHOljTVX7MD+3K8NCuDPOq+/nn4+s4dVaCXC7n872T8XCi8dwzkuWeki37v55QzbEzEvzimW7u31FeR+4cNPnsfR2cMiPM+5dVMacujizLPmc8GVRVHcd9CjWxqKtEbSeGW8R3XtwbgoIX27Z9Th3w7wdCYS7idQQXK7jtoFo9yFUajsPlC+PcsTXFxt4CrUMms6vKB2FeK5AkqWwg6NXAS2loB91FX63meDKZpLq6+hV9zdcKphjaKfxDIKjugYlJzLFTXaZp+kpx8e/iz6f2FcpIEICPHF/FuXNjhEIh5oYcrj3bK9xEA/aBHUneuayOKtVTCQnFcF3Us5w+qj5ER9JbnP6wdoSfXRaheUYMXddLFo81Ze+3UHRIWjLdyTzJgs3eYYvGhEYipBExVMKagio5KG4RQ5EJqR4BKJcai5qm4TgOv3muh5tLmYnvX1bLb1f3s3vI4kPHqWztt/njC+MzyMcWlevak1TM9JSyY1UEYtJNvHexMEcikXE2hqqqcmdJLX7+3BgxvTz/ezI4jlNmWxP8d5GZtHOgwJ1bkyzfkykrdjOWyx/XDfO3zSNcsaiSyxfGqAzhnyNBWOu6zifv60aWJKKap+J2JQnblUgVbIZyNr2Z4oTWQrIELRUac6sNZldpHNEQY3oU//iCC5+YPDUU+NzpdZw6t4pUZvwCf3JzmE+cUkN9ZYxcLsel87zzP5Atsq3fZOdQkc09WXYMmGQs1592nAgxTcZ2XF+drygKP7q4kX+7u+ugzv/a7jw/fdbbwMyvNagIqeRyk5NkoskqJhz3R04N5WyG8jYSXq5o8LMOnregIjh4XY1VR+fz+TKVjuo4XHNMLac2G/zmhRFWtI0nTL98dh0zKo2yBoc4T0GXAOE6IOz3hc1Y8L5iWZb/fhRFecXVy6qqHnJzeX/5l68UXmpxGHzvYqL+lYTruoyMjEyRmFOYwhsEsVisbD0QNePYe01wbROEhiAchQOHIDAEF7Wjf/QeHTdkvnRuM5Gw18oMkiWO42BoGtOjMG9JNQXT4v9Wj6q5ZQnihsJI3sa0XR7aleahXd4aJ+HVcksbQjzXnuPZ9hzfW97JrqGJ1+7TZ8W4/qlytUzaHD3WedU6nzu7iaaI92+zqprIWC5FV2I4naV1xGVtR5rdQ+VW8KJ5LAGL6gyyljMuCuhgUXRgMGszOAkhCvBk28ETJvdvH/H/XzS3hf3lvmHvc/3BM4Pjf7GEAymSDoSWSo29k5yL7AQzagreYGJjXMV0ZV5oz9CXtVFLDkPBtzPZGZrsPW/pyXLktBCr2nNs6Ssg4Z2LsCazeFqYzT057toywr+fWM3KfZnDonoXpfpETXFFggU1Gu88qpJjp0dQVI2/rO3nT+uGAaiLyHzo+GoaYhqpgs3WvgJ/Wu99nvVRhaOnhdg1aLIvaY3LEQWvmd6XtScl1yeD2IEIRZqwzU+a8O93dfLHd8yissQpqprOun1DbOwpsKk3z6a+wrgsek2WWFCre43wapVlLZVItjlu2E8gFAr5QzevFF5MPTWjNkFE6yRruWzpLfCBZapvCbtqAje2w40DORAdCGPv9aZpTjjc+3Iik8lMDVxOYQpvEGia5mV7S95e17KdcU2eieLQNE1DVVW/1hSPH+vkEeTHgpbpotkmGueiPg3e41zX5aiGsN8Ybxu2OLah6N8/I5EIsyp1+rIenxFc/qO6zCUL4qWmuPdc//vcIEUHZlToZXEg71iS4PJFXg5sRJXIFl0e3pmkJgSXLojTGNfoSlnIEnSmity2aYjbNkFI7WV+jUHRcdjRb3Kw6SpqKY/7YNXaLp4SvVB0GRljES4swx0XHt1dPtC5rmdi3iVf9BS5AkVn/7bprwaimkRlWPF577gukTIPHx+UNl22BEQ7uiJ5AxCH8BK9ac+R65y5ibLGeEVI9j+nnYMmX36wg7jRxaXz47znhAYke/JhNrGnu2NLkkLRZWFdiOObQkQMlY+dVMOlC+L84GmPMw/imX05VnXkuGxhnKuXVFAdD/uqbhGRI3jKIIcZ/F67rusPqwC+82QwJsFxHLb0FTiirlzcJAZkBMZypcI2XjTWhbNr8HeCrp8AHzu9ift3bidfdLnuqT5+fvn0g/hUXhpezKBhUOD4aiDYM3oxGFtLj3X6eCUwMjIy1RifwhTeyBDK3rG51kFMNO1uGMa4JpLjOPzgqe6yf/vA8TW8/Vgvs07cEI+bpvFPR1Vx84Yhb/LNhS/et5fpCZ2OpEln0lNF10a8SfsFtTr37/QKgr5MkZs3pfngskr/Bh+8WcqyTEUsRLWiMLMm4is5y4kQl3A4MuECIazhIpEIz+wbvYGP5EzOnZvg0V1JvvDweGv26QmNOVUqT7blmB5XvUawAzv6c1ywsMrPBAmeK6GQMk3TVzSIcyqsoETue+tgjuc7c0jAFYv2rxafbKEI5r3l8gVe6LG4dcNgmTW4UKE0xRTec1wtN60bom3Y5OYNQ9y+eZjz50Z525JKZtbGyWazFGWNje1pX7l8sPiX46tZXKczs1JHV6RxmTACwamwzaX3edz0CCfNiKDgkp4gkFJVZAr2+Fy/mojKeYsSnJrNAgmKjkvbsMW2/gJb+wu80JlneIwC5RuP92GoEvOrdRbWGhxRH+bo6XGW1Ots7J28MPnUGdPYO2zxtw2DrCgphE6aEfM3VmMLLeEOUCwWMQyDfD7vxxZMVAApisLmDm9QYnpCJaSWFwxCcS4ytCa61i3LGldwis2hUO1ZlsXs+gq+dWGCJ3cO8rVHR8n/SxdEWTItXLbpFBCTpkLBLshITdMOqjgKfg9fqYnAF1NcFQqFF22/fjhwOM7P2ON+NXLG/1Eze6YwhTciIpFIWY3oOM64e9XYTa5ogo+9/4h1Klccv9Z//JQ6orJFPm+VKQDE64hBH8dxOLE54jfGZ1dpfPmseqbFVH65apC7tqWIaDKzKjV2DBR8Fe0z+0bXzQd3lFuoC+gSrNybnrRp+uUzazm5JQq4/rDXzITMniGTR3dneLwty2Cgk9tSoRHTZTb3FTilxbOHX9OVZ2tfgQ8d5w2ZfvWRHnYM7J8YWVirc8bsCo6skckXXe7fmWbF3qzf6JxRoXFyc5jGhMFPnunDBc6fE6XouqQKTskaUmTpOeQsd9wg6KuJyZriQYRUj1wFaKnS+Pq50wBvz/GBdu8a+cxptTzfZfLwzqSvYJoI+yOHt/SV17/icZ+8t4uQ5l3nf9uUJGm6LK4zWNv98q2xp80I8fGTa4kZCpFIhN5Uge8+0snaLu94z5kb599PqCYcYDmOaQyzuivPlr4CvRmb50o26OC5L111ZIIL5sYI6RomCr3DGUxUBlJ50qZDyrRJFxzSpvdfzpbY3pejf0zjfH9XjyxBV9Lkwe4sm/u8GISxn4WhSBxRZ3B0U4Rl0+O0xFzP6SsUwnVdb7+0n9cQdfWrERlzKLBtm1mVGpv7TPaVCPdFtTqb+sxXxE79pTgQAeMye2E8r/BKYKqunMIU3jiIxWLomidWcRyP4xHKTu/fnHHuFCITdiJuKehwCKPq0aB9dCQS8X8/KF4JKsgty+LohggP7fDe266+DPb8sCf0SRX438f3sTrQkDQUia+dXcev1wyze9DkCw/18K0LprO4Tue+bcNs6Mmjy9CVGj2OC+bGeM/SSv/vNVGV7Ih3j715Y5JESGFmpUpXyuKfl1VTnwjxdGuSVe0ZcsXx6mhVhmWNIYbyNjsGJq6lRK342qn6Xn3URmSKNgyX6qOs5aLIjl8fHo6meEiFH1/ewu7+HL9ZPUhf1kYqvcBkNfhk+egAeRuu/N02rru0pezff3Z5Mzlb4raNwzy6K0nB9mr/mzaOcMumEY5pCPHRUxuZFh59ZuEgK0kSI/kid2/z9kXvWVZbtt7OrtL50SWNPNaa5perhsgEnIqKDtyxJcWjuzNcc3QFb1vaAO5oZOdYZLNZVFX1RUNBiAEW4axpOXDftiFu2zhI27DF/7uwgRNKTpYH4sskSfIHYIRb2UQW7uPObz7P+4+r5ecr+9g3UuT5jhzHTw/v93deKl7MwOVEXO0rhZdaU04EMUzxajb7/5Ew1Rifwj8EXNcty7sWFipB4mCiTa6w1A7ekH74zADBPuWbF8U4fUaIZ1qH6CzZBnWlinRnbDpKU5Biids3YrFvZPQ1zpuT4KMnVFAsFlnaXAGMKk9u3zTEGTMM5tV4k2CWZfk5lcVi8aAIj7EF9Vhks1m6UqM/u2NLckKLodmVGv99yUzahgpce98+24EPEwABAABJREFUJODac6bztYfaGcrZdKadspxtsTAHz100GvUtmfL5POGwN0EnHu+6Ln9buQ+Ak5rDNMZHJ11FrnTQOl0QP7lczs9mEY3JjOnw0K40d21L0VNSYCsSnD4zwnDeYV2JsLv4iGreNDfBuXMTPL0nxc0bhtjaV+Ce7Wnu25Hm3Dlxrjm2lj+90Mtju5PjzouhSMRDCoYiocoSRcclaxYZznv5mZYrM79mdJJvIrscAfF5bur1/jyyZG/eNlLkCw/2jHv8U20ZVrVnueboCq5clEAr5WaObUarssTcap251TqXLIjjIvGuv+4ts2mVJW8CdmNvwRsg2JwExr9mEJ86tYazZ8eIGho9KZMn96SpCcuc2GT4TVThzCCmjsUxhsNhiq7EXTuyXDQXKmIR/3MOQtd1dg95n/nc6vG2PZFIxB922R85FDwf0WjUb86L4lMo9xzH4b+fKD/u7ow7qapE2KpnMpmyHMJDbeKKgljY97+ck4Ev5bknsnQ7FIgiXEy6iuiDsZZuQbzU6UuBidRTr/QU5ou1sZ/CFKbw2oNlWRQKBT/GJZ/Pj9sUj71fCnJj7L1U0zQyBYvhfPnjz5sT5dRmL4ZGEJxi7TIMw5/6FxvyB3eNkp2KJNFSE8W2bf7lpGms7MjRmy6yuN7gv86bxi9WDfDAzgy1ERXTdiaNEgEwXSZlDv/zlJpSU9zDYMbkrs3D3LRhpMzCWlMkZldqHFlvMKfaIGdLbO7r47n2DL+5aja3rB/k7q3D/N/qIXpzcP2lLXzlodFmJ3iWi5cuSLClL8+GngLb+k229fchA0fUh1jSEOF9y8I805Zha3/er7kNRfLf/kO7D2zNLqArEro8mlt4IOyPuHu5YAWWtmwg42hNV47+bJGYLjOYLfJMm0fuBRux1WGF02fHOWN2gvkVXr04kLH4yF2d5MZsG6pDMqbjqZuCCmvbhUzpdW0X7ts+8XDF4cSKfXme3tfO0Q0hltTp3Lk1RdpyCakSnzi9kdOnq4TD3v5ODK+kCzYzEqrf4E8WHBpiKm8/MsG5c2JoiuTnrLqmyfSE5u0RExPXln/bkuHpksNQXVTlt29twbQsbMWgdySD6Sr0jOTZMWjSOlRkW3+OfNHls/d3lj1PVJNYXO/lgy+ZFmbJ9ASS64xTIB9Kk1uokUSE1WuxQV4oFFg2Pc7mvgFv2KBgc+3pdYdkpy6cmRRF8et0UWcF3ZnG4nAou19p16HJ8Fp5H1OYwhReOvL5vNcRZ9TVRVg6g1cHjt23WpY1oWtEKBTyYy5M0/TXlOCeWvxd1KSRiCe2EffOoHBjUfXoHrZ12MSSdW5Y0cVd25LjHGIKtkt1ROU7503jW4/3sqnX4w8/dnINN7zgDW/WRlU6SxzkKS1RPnpSdRmXEy+5Kp45M8Lytiz/9/yoG9JvV0/u1CNQdOC5CaKBDhaKBIYqo8oeT5YvuuQD9ZMmS4RUbwgxa7mvSnP95ag5+7Plz+jCfvcHLwamDdfe10HatLEc7zgqQ4qfMR/VpHHn9EDvIFOEj965t2zAszaqoes6nzkrzMdOqePxXSPcvGGYvSMWjgsvdOX54K2t1Mc03nF0NW9eXEmhUPD56r9tSJEvusyrMTi2Xh3nAiZJEm+am+Dk5ii/XzvEPdvLXSeTBYdfrhrinm0pPrCsipNmRJkMxWLRr03C4bD//OK7358p8sDGPu7ePESqVHOHVImOEYsT98OBmqZJNBoll8uNc8Y9FFw6P8KNa2VGCg4/WTnA79/afEi/f6h4MbVNNpudUNR4KBA28sJVSAyfi8HUyfjgl+JAtD+80sOP/8hc5VRjfAr/EAjmboiMDlVVfYIymLsThG3bvspZlmX6cy6PtgYUsArctS3NHVsnz6sr9Sv9hvPcKpUPnVjPzKowNREFRfaaRLV2wVdyHNcUYnVnnp+sHOT6ixpQZGm/m/z9IVhQC4iGkK7rvGtpBX9ZP0LBnjh3599PrudtR9dQKBT47SqvaXj5ERXMSUCFIXuN8RHTX2wNw2vojiUebNsuW6jE4iUUUN1DKR4rEZbvOMZT32uahizLFAoFX2mlKIpP+IhiXrx2Z8rirq0pHt6V9sm/uCFz8fwYlyyIs7WvwHef9PIdG+MaF88N+YXBCU0GZ86dzcrWIf66aYQ1XXke3pXi4V0pWio0qsMKi+pCLKgLMyMuMadKpyFh+Jks+Xwe1Qhx7T1tDHXniekyxzdofmNYXEMTQdhgOS5s7fPez1HTwqzqyHHdk33kiq5vKQVeNnl9TGNDd47frRnmkd0ZPnJCFUsbJs6VKrseNJXZlVqZrZPjwoePryIW0tjUneXZfVlGDlAEX//0AD96ZoAb3trs50kmCw7z68K+hbiYfBxLyq1sS/LTZ/voTFqMZCt499JRNXkQ+XyePSNekSwrKiYaOt53YOzAyv4gbNYty/Ib6SI7R/wsl8tx9c1tjBHTs6YzS77oUB3R0XUdWZZ9i6FCoVA2bCOu/RdTkInnFO/p5VKQv1h7zYmU9wcL8R05UBEurN3ExHrQXeKlYqoxPoUpTOFwQtRj4h4lNuPiPjlZ80VsuMVAlmhqf/LecieihpjKf5zeBI533xy75onXlSQJ27YxDIOTZlbw142eXfTOQZNVbSMcOz2K7BT5txNr+caj3dy+Ocm5s6OcPjPKAzszaDLc8JZmnu/I8Y3H+w7pHFw0L8qb5sZKBGSWR3aleb4jN2Etadku2wdMtg+YQKrs3997y27vGGUwHbhz8xB/3zzkk1vi39Omy80bRwirnkVixnSwHI8w29Sb9wcLx+LFqsBN28U8hCVz7GqiyhDWZEKKhKaA63r23BNZdx8KhP08lNftgizrTRf5w9phANKmw69WD/uPUSTPkvS8hVXMikM4FELTNH/ooiYKF87z8gSD+OhJNZw0w6uXHMfh24/38VxnaZCzzqA/W6QnYx+0JemhHu8Zs2M8sTtNRJPJWl4e57ruvD/oWhmS+eJZ01hcp/nvUdd1+lN5bts0zN3bU+QCAw4xXeaPV8+jaJllkTj7cxYT+NumJL9b45H0NWGFn1/eiOTaKLrBtt4C67sKrO/Ksa1v/HehMqSwuN5gSb3B8S2VzK42vM+zNLBpFbzBYTFIG4lEME1z0gHn/SEYKST2Ti8HXuzA5IJAo2XPsMWSaaGDtlOPRCL+kPtkEMPtotYT2ZqHo76eaD/3StaTgD9oOoUpTOGNgWKxiFqKtSvarn+fE/GHwSid4O8ICN7Mtm2fKxORhmJvPdHeV9zDRe0q+A3xuqFQiJm6Q4XhNcZaBy3eeeNOn2tbXGfwnmMq+fbjvb5y9rmOLG9dXME3z63nuqf6Wdme4wdPDwCeKlk0xedUaXz+zHqUMRVURchbH46sN6iOqNyxZbxARSBYE0U1yFovvQ6xXchak9/TLcfFenXEqT5e6UHMwwXHhaEA4eaA3xQHytTXhwrxmzKjKl4hwrrkyDouWFhFf9bmt6t6Wd6apmC79KYtfvp0D798tocTp3sZ4Ymwxu0bvQGMf1qSwHVdYrHYuIhE13WprYzx4ZM05tdHuW/bCNv6RmstCWhPFvnm430c05jig8uqJszoFrXK2L1jawpu2zDEE61J/xqfFlO5bEGcixYmCCujzVMhohP3AL+utCx0Xfdz1V9sHfTRk6r5zvJ+BrI2j+wpcMHcyMsW2/NiaxvRuznUekycl1wut996O+goEIzQPBx85asZWSnwj8xVTjXGp/APgbFFpCjyxKIwGVkgSE4xBbSpY7js58EmmipDRFOIGxK1EZWmhM7s6hCNUUgXHL63oh/bhV1DRerjBtPiWllTV9dUFtaFWNuV45iGMFv7TXYNmty9LcWbF1f4DfpDJUfEsYkGbaFQIJkv8rs1wzy2Oz0hYTinUmXxtAh3b0vy+9V9HN+gUR9T+fo59dyyMcmHTvZyWeoiCnuGLfpzRd/aqVAokDUd1vYUWNWeZVt/gZ9c2kg+nx9n/yQKdMuyeGRPgYLtMrdKZ0m9gaqq4xZtMRwgiKJwOIxpmqzpyHDn1iTPtef8gqilQuOKRXHOnh2lMhahezjD9U/3+5/Vf1/UTEgtXzQdx+HEWZUc3RBix0CBv25M8sy+LHtLKv+0aTOvUubk2VWYpukrxQBCkShfe2Av67rzhFSJ71w4nVkVo+p40cQPqv4Nw/CnDy3LYl/KJWM5hDWJjT05fr16CMeFo6eFWFgf5q8bPCJuMFvkxmvm8eD2EX65sod9IxZferiXM2dG+OhpjUTH8DVCjSzssExnfLHx+zXD3PruuWzpOXBTXECS4BP3juaQf/u8BsDLvRPN8SB5NJSzuWFtkkd3eZubmojC3GrdL+KChCR4BcLyVo+cfWxXkid2J1lcZ3DqzBgnNYeZXRcv+w6LJrf4Xdu2J7yOoDw/R9d13ve3vaTHzJ2ICIQ/rB3mw8d7xxGNRsvyGyfKBzpYNYq4t4jpbDGZ+HLjxSq/J2v2BIcLxqogx2Yd7Q9iov1wI5gFH8QUoTiFKUzhxWJsXSmIRHG/m2wNEPWkqH9M0+T361PsGgzEvUjw6dNqkR3Td2ARqiDhbgL4g1kCxzSGyzIbb9uS5PiWBLZtc0KTwYnTwzzXkeN/nxvkK+d4asyudJFkweGJPQevpBZ4fE+WF7o6GMnbZbXkvBqDo6aFmVetY9k2qYJD2rTJ2TLDOYtk3iZlOuwZkzceEDyXkZrmmJIkV4TcS+0ulyBLnvuPIHjrYyoJXaInXTwky8hPnFTFj1Z60Unfv2gacUNhe7/J9qEiL3RkaB+xDkjUVoYUspZzwHxux51YKZS1XK75675xOdUAuuKpdBZPC/MfZzT5RJlwcBFqW8uymFGhjfv9FXuzfmM8X4Rrjq3juU7P5WlLX4Fjp0foy2Zfcq46eM4Awfx6x4Xlu70BzK+dU0cyb/ODZwbIBsjT4bzD5x7o4og6g7cvqWRujctd29LctXnIvzZnVWoc1xRmc2+eDx5fRSGfK7OMzWQyZU5iwrpS1AqO43Dz2n6/KV4RkvjAcZX8Ye0wm3oKtA6b446/JqJwVH2IY5pjHNsUY0alHqiJHAr5nK/mEcjlcv5+4VDqSlFzifuLqHFFPuXLhRdbt86vGSWHt/YXWDItVGanLus6zpiaUFjKH0xdKYaWgzhcQ6cTnc9XmtR8LZCoU5jCFA4PXNct5f96f7cd1xcYBAU+E0EMoIv8YEVRygQHwjJZDAeJJo5t2+PWFhELFHxfuVyOfNGhJqoxUijg4LnPzK3Sec8xlRzX5HGMs6t1NpaEFyvbc7x1cQWGKvPFM+v4xmO9vFCyWx8oqZLjusx3zpuGguPzY5qmkS1YRA2vTbGt3/QKtf0guO5mXp3Utym8xiBL+EI4cc2LmrdCc/jkKTV84uRqlu/N85d1Q+wb8eqOFftyrNiXI6Z7Q5gzK1ROag777qSTWaH/4YUhbt2c5LSWCG86qYY/rBkibTpldf/arjyfuLeLixZU8IET6qmOqP53WojAwBsYXrE3y51bk2WRUkdNM7hiUYKz5lXjOrYvJhHf5+BeMWgrLv4U3KxwqgQO2FcQ/QPHcTh9lkzjmmG6UkV+ubKXc2c2v+a4tKDyPgghQhPNbAFJ8qKKTNM8KO52bP46vDhB1ER4pYcrp1COqcb4FP4hIOzxggXlwWwoRSPaMAwURWFNT7//swpDJlt0sUqES9GBZMEmWYCOZLGkYph4uvFjd+zh+OlhqsIK1WGFqrBCTVilLuJVw51pm/cfW8lPVw7yx3XDnNoSoS7qfV1Fc1nc4MUCKKajgvklmuZZyFiWRT6fp3XQ5FcvDLOxOzcpQadI8K3zGqgIa+wc8HKpf7hyiG+fW8e0qjj/coKGY+VxgcaEBp15cpbL9v4CL7SneL4jy6beQhnZuX2gwBF1Ib/YDjZMs9kslu36U3lXHBEvW+QnQjabpejCfduGuWtbmt0BQvn4pjBXHhHnmIZQGZn1zcd6feXPp06tpdZw/AJJvFahUCAcDmMYBgtqJb59cRW7+7P8ZW0/j7dmWN+dZ313noV1Sd62OM7JM7zMHU3X+Z/HOlnRlkaTJf7rohaODKi3xZ/BHOyxi7Ysy2zo8Yi/uC7zq5Jl1AXz4nzqzCa+dH+b/9ioLpPL5bhoURWntET5v5U93LcjxfK2LKs6d/Ouoyt585FVhA3dt9MXr6GqKh3J8c3Hgu3y7pt2MVw4OKJlZqVOU0Llmb0eyXTGrCjHz6z0j0kUGpIk4bgu9+9I8/u1w2RMB1mCtxxZzT8fV0M87BVpB7L9B2/jI+zef7UKvnFuPafOrvStbSYiwSayFxuL9/+tlf5ceTES1b0s1k29BR7ameaTZzb7n58g5sRxig2riAsQKp/9EXATWYSLrHLA/54Em/CHC2KS9MVgbAGsaZrfEI9Go/6kprBHf7VyyYN4rTTGX4ziawpTmMJrEyKzcey/HczGWlVVfyp7xa5B/rq+3Bby0gUxjmlOAB7REWzWBWsH4YIUxCXzo/zyeW+Nf74jR+tgnjk1HqHzrydUs667k429BVbuy9KcUGlPFvnV84M8sefADaOxamDPWrJY9vOZlRrHNkU4qiHC3ArJV/2I4xakRdF2uOpPO0mbXh31w4sbuHdnlgd2TK4KejnUyG4g01CVvMHD3glMoGZUKFwyP8EvA3aeAovqdFaUstorwwpffbSP9Nhu/gRYUKtz6owIC2oMljQlcFyXq/60E4CrllRx68bxryUw2bNP1BS/cF7s/7N31mGSnWXa/x0rr652m+lxt2QymcjMxI0oBEJCcFtkcYdvsWUJLM6ybGCBBFkgBAnRiXsylnF36Wn3Lpcj3x+n3lOnqqt7JJOQkL6va67p7qo6dfR97/e5n+d+OLclwNef7KE/UehVWi5wJGtefN6RycJPHEqwqStNRrdGVFGZwIb2kffPyV4vtyjeEFIYSNp2m6oMu3sz/GHrMFnDotIrs2JKkLVHk/Tme33v6s3wjSeLW+LMrPbwloURlk70I0uFtkMiOdmd0OLmCqUBtD9uGeKP22xHBlmC4bTF957rL/quprDKgnofiyeGOa0pQK2/wBH9flu0Fo5FwtFL8Eq3HaNIhhYVg+I9Y1V9l0sEFdXiQixxJ2KeKpzstsJehZAmEc9ZbO9Oc8P8SJGd+rcea+Pfr5jsWFlmMplXpC28wMstVLtbc4xjHON49cPr9aJKeX5nHb/gYpqmM6cJAVzECN3xBlFY4vV6HYv10vGj9DtzhsXD++PcuW24qMr3qlkVvG5mgJwB27rt4pYaF9/b2ZPhd5uH7Pk1Z7Cnr7BdMVJW+WU+/0g3WQMyhkk6Z5IxrCKh+4lDJ560OY6XDxJQ65foTb24+e/F8nuFQvsBAN2CaDKLR7b5lKZp6LpdyOW2yL5qXi2XTA/TPpjkto1DrGtLkTMth8O3x3T+a+0Qb1+sMLFCG7WPtZK33H++NcnmrjTvPbOOI/0J7tsTL7aEt2DlnmGePBDlzQsivH5O2GkpOZw2eHBfjJV7404FvSbDBVODXD+vijmNIQCnwEq01goEAo5eoaoq6XQay7IcJ0awxXG3XpBMJh2HidEEWcG73Nzm88tr+dRDXSRzJnfsSPC+pXXOmHMq8WJ4Tbl4myzLDo8WrcjALqx6pfTwfiUI4y+VA8CrAePC+DheEwgEAsyaNYuBgQF6e3sdAVlMGKWBBCHqiT646XQaTdO4ak4VD++3I2bffV0zEytUTMVDx0CC/qTOQMpgIGUQy0n0xNIMpkwGUvbf3ZUNKd3i2SOjByH39GX48NJKnjiYYGdvhp+/MMCXL6gr6s3rtlZ3TwCqqjpZbaJC+OmjWX63odfpt12KCRUqn79wAj95rpMDA1mePpzg+vlVfOGCBv713ja2dia5Z2+Ct58RdPobKZoXwypUA3/03taibbZENM5qCXHu5DALGvx4VNnJei0N9D7XmmAgZVDtV7hiTi2qIo06SQ2mDFbujbFyb8ypbPYqEpdOD3Lt7Aomlql0uXPLQN6+Ey6dHuay2dVOZp7owSfgtpzJZrNMrFD51LJa3raokrt2RXlkf5w9vWlueTrN5EoPb5wbZt9gjscOxJAl+OqlE5hdiSO4K4oygkCFQiHi8eLIq8fjYWOb/beehD0pvW9pHW+Y5UeyDCdj8Ieva2RWrW1Bb1kWAU3iEysauXZBDT96poM9fVl+tWGQxw8m+PjyRubUqEXiv44yoleQqDwqFcU9sl0VnikzRx4ZynJkyN4nvwr/fvkkp+rG3Wdld1eMn6zqZXd+QTSz2sPHl9UztVIBI0s2W8hk9Hq9Y4qHv3pDM+vaUqzvzLCrJ8X8eq+TbJFOp8sGzEqJmiDHIkD/wbsO0R51PT+yneRyepOfm+aF+fiDXaR0iwd29HLR1EJvIPf9KSr2EomEk2UtWgXIsuwQVDfKEQ93n/Jy+yyEFGF5erLk5cUI46XHIQK5UKhyeqWRqtFaGLzcwcRX2nkZxzjGcfKor68nEonQ09PD8PCw83cRoCid90V1t2maTjJX0lD4j7x9udsK8s2n1RUFJ4XzjBhjx8LF00L8dvOQ0wvxL9sG+eJF9rzcEFK5aWGE320e4hcvDBDOBzGPRxR375+ApkhMrfLiUaAjmmUgZXJ4KMfhoUHH4WZihcq8Oh+LmoPMrlaZXBNAkiS2d0SJ5xPlTAtueabX4T6NIRXDsuhNFI+ZHkViYVOAeXU+TGB/X4otnamivtkSENAkvKqEbtp8OzdGBbaFLY6DHUgbLTJ3dNgoK4pDoQUO2By1FJoM06s9nDEhxNx6P2uODPPA3jh+VeaG+REAvJrEI3sGMSybPwc89rWZUeNhv6tiRAbkPE85HsjYdurD6XyfwqTOhiODRA2V9sEkfUmDvoROb9KgP2kwVNpPxgX3sYXy/T/jWdPhTW7869JKFkyo5F/vPnx8Oyr2t+Q+644XvlM34debhgBY0uzj8xc0EVRMPnhmFeu7DG5d3eUI5G5YlkU8X4nvU6URiamiOjuVSpHL5Zwkv8N9cbZ3p9nek2ZdW6qIO4t9nBTRWNTk57TmEKc1B6nyulvA6AgK6k6WdNon5ccCt/Wt2B+RgCna9GQyGcfFrNz4IpIUSzFaGy63HSQU1j4nI+6+mGBeS0RjV1+Ww0P2PjZU+p17YF3bifdX/0fiHxHUFM5Y4xjHOF7dkCSJadOm0aN3AF0Y+UlGuJaUS7YXhTuA0yrS4/E4XFNYJotqbLENXdedBM3SmJyAYVo8eSjBHVuH6M5zsdqASl/S5hIr90ZZuXf0REYL+PP24VFfB2gdPr6EcVmyud2JdMWZGJZI5CQG06OPy28/rYL2mMWTB2OjvuflQn1I5fxJfmbWBWgIazSGPbz3r4dI5izCHpmcWdzjfDRMitic+7kjCeKjWJKLOXZiROM9p0fYM2iy/miMg4MnLm6GPAVR3KcwoiXh8eJYRyZilT5VKnseJlV5ODRYzIt29mY4qyXo2IoLoVeI4yKRRJZlptRH+PplIVLpDF9/ottxN9BNeHx/lMf3R2kOq9y4qJrlE734teLY0gfPbWb5pCA/WdPPgYEs/72qm9Oa/Hztwjru3D7Mrj5XlTL22uR3m4d4cF+M18+v5kh/kqcOJRB5p9UBhdfPq+a6eVX4ZcNJonQjGAwSj8edZ1wkuojn212FLniCW+gWCTQ+n8+xnHfD7a4rMLPWy+xaD3v6svx5az83zAngUe1z4fF4nBYvpc5FLyfEuCbg5t/u9fQrDa+EAppXwj78ozDOpMfxmoGiKNTV1VFdXU1fXx/9/f2ORZGwqvT7/YA9abgrX0Wm/czqwiOzcm+UD51Vi6VnmFChMqGi+HHyemudPsumaZLWTbriOp97yBbaPIrEVTNDDGcM9vbnaI8WBvDDgxkyusVHz67m4ys7WduWYvXRFMsmBcoOWCLgKssy8XjctnqRVX6xboDHDsZHJVINQYWPnVPD6U32cV89t5qfPN/F4weTvH5uhDq/xIfPquGHz/fym/V9tAQl+lIGGzqzbOpIFG1XluC0Rh9LJ/g5c4KfydWBgnCfTaPn+YDf73f6Toss1nt22YT0unlV9nvL7Ov+/gz37onxzOGEE4CrCyhcMzvMNfOq8UrlmdjR4Sy3b7ArOuqDCh89u8ohRYqiFAWB3BOnsGoXE3t9SOVDS6t5y8II9+yKsnJvnCNDWX60ulAt8qkVjZw1wef0TRekxA0R1HIjGAxyuGfI6amnyRJfuKCBS2ZV54NzMaIZO/go+tK4LaplWWZWrZ/vv66JRw8k+M3GAQ4NZvnU/a1cPC3Ih89tospv9z/piI3MPh5tyTC12iY+TSGVzriOX7UtTEsxMeKhK5al1u9xxPGheIo7d8S4a8cQpgV+TeKdp1Vy9ewKAn57ASZsZEVfl3J9TdwkuzGkcd0cjRsWeYgl03hV24ZfkDCR+Sh6ugt4PB6nSkb0urcsi08/0DZiETAp4uHgYJYzJ4aYVuOlMaTSFdf549ZhLpoaHEESS/tguwNj7r+Lan3hXlGaGDEWRPC0FMeqsH8pICw5xVjpPheiRcUrTQAeTUgaTTB/qfBaJpvjGMc/I7xeLy0tLdTV1dHT0zNCvBKJW0LgctsiJ5NJPnZfK7l88NMtBlp6FjzFnFI4kRxLuAp6ZC6dUcH9u+2A5JMH4/zL2QYhxcK0LFoqNHyqXaUZzx3/mOTev6Am8YGzajl3go/ayhDJZBLLshjSFTYdjbKzJ8PO3gytwznaojpt0TiPHLDnvEqfzIIGP8m8hc/kiMahoRw9CYOgJvO58xs4f7rtPtM6lOXbz/Q67WwyhsX6tgTr2+wKogqvzJJmPxMqvUTTBls6k3TEdBI5y+lROL3Kw/RqjUcO2P3UAcZoGzkCp6JKPWfC7r4su/sGkCS7sgXsHtnvuauNiE8h5Cn03Kz0KWxut8/XxLDGtGovj+yzebIJuPU3rwxjdb8xsStYns+7+2QNiy882jPm/o4WeBS4dFqQL14yid+90MnvNg8VieKqBJoCNeEAk0IWARWSx3mbeZVCImZQk5BlqWwFPNiV4d9/pouzJvrZ1ZvlqUNx5x5tCinEsoWKn/2DOX60qp//WdvPRVODXD2nkqkRpUgU1jSNo8M5tnWn2dnbx7buNP1lRHZZgmvnVLKkJcS8Oi9+2V5Her1eDMNAUUY6SYi1hWhj4/V6icfjDo8q5ZU+n68oaCe4camFuOCUgveeSMVOuYBlabur48WLSTJc0BhgV1+WgZSBz+/HNAzm1HrY2Zsla8JgLEZVOPyKC2KWE8H/EcK4CICPYxzjePVDkiQqwnZVKLJS5GwixBwRMxEFMAJiPil1rRtNBBKCoHD3EzAti1WtSX6/ZYi2fOFAtV/hHWfUckGLh3f/vZ1oxsSrSPg1Ca8i4VXl/P8SO3oyDmdqCKnMr/fy1MFEUawpqEkkcxYWMLvWw5nNPjZ0pNntEg/dSXKlSZmClzWEVL5+US3/8VQvHbHi+botZmc6zq3VyBpwoIzoe9fOGPUhrWxrmpcDIqnwX5dWctXsCKZpsrkrwz07BljfnnKKqmLHcCCqD6r05N2AOmI6rcNjx5huWhDh77uidosfCy6aEkC2DNJ6wuGhxwt3y6GTFcVLsbDRz7auEhHYKxPLmKR1C0WykyTc100U67ixpTPJ2ZNCTnW4iBcKh1DBd0Ss3zRNUjmTPflk1HctrmRLZ5otXbZTakdM58fP9/BTGZa1BLh2Tpg5tV6Hs02v9vDD1zVyz+4Yf9gyxJbOFDu7U9y8MML1C2v56fNdRF326jLQmzD41bpeZ59n1Xq5dnaIFZOCRMLBPK8ojve5HYfckCTJEcfLJU+6+aM4XjcXlCSpiFeOlpT4+RV1vO/udnQTfrq2n08vrwMoyx+P5aD5UkDE90ZLKhKFa6+keOVobS5fbieiV9I5ebkxzqTH8ZqDoig0NDRQWVnJ4cOHnWwpwMkeE1Z3wu5OCOiWZaHJdpBrW3d6zMFDTLqi+jgQUKkKW3ztYvjiI51kDYuj+Z6DQhRfOsHPwcEc/Umd/QNZFjb4eNO8Cu7cHuV/1w9weqOPgKcgIop9SqfTDmm+e9cwTx1KcGAwx2hjaV1Q5ePLGzh3Uqho0rt4egU/W93NgYEMh4cNZtYFaAymHbvNrz/VW7SdCq/sVFC8YW4F7z2jynlN9AJ3eqi77FzEeTMMgx29GfYPZPEoEq+fXwVmYVI1TIu1bSnu3R1le0+B/M+t8/L6OWHObQmgyBIej4Kqeslms87k7vV6SaXTfOnRbixsi/jvXN6Imu9TJCZvTdMIBoPO9Rdw77v750qfwrsWV/GOpY1887E21rUVJtvbXuhhMJnjiukBaiN2dX1at2gbzjKjxr5mqVTKWbwIbD06yNef7HEyYb9xST2LGn1Or25RLT6t2ofPY9+XonLM4/EULBf9fi6fDudM9PGHbXFW7h7iiYMJ1h49wPvOqufauVUcPDR2QFRgYoXKnr4sqmzbhHbGdS6eFmLl3mJLIEWGff1Z3vfXg3xsWSPnTdR49uAwP13d7VR7rZgU4KPLGwkpRtG5NE3TEa3LnRe/389F00M8uNcm+E8cTHPNgmosy6IiWEhaEAkoo9lli/7qYpumafLlh4+yvbuYdK+YHGLNUfu7lkwMATrvWFLH957upDOWoysl04jdy1xU4YhED7GoHM32TLhUAEW9u14MTlYYP1m7IzHu6Lo+KskVvd5fbhI8FkYL2o5XjI9jHOM4FfD5fEyaNImhoSHa2tqcBDExDgpuIXiQZVn8YFWf4+JTKr6qo/RTTCaTjuWyCJiWttABuGZ22BHGDQv+uKmX5goPd+8YpHMU56DjgQjivWlBFVfMtK3e0+k0Pp8PRVEIWhYTIj4uzh93Uod9gwab22Ps6E6zrz/LUNrkuSMFa8yjwznm1HowLbhubiVnTqpwXFZaIhr/fXUTP3thgIf22XPzggY/fsVie0+GaMbkudYk5EXf5gqN8ycHUWSLjqjO3v4sBwbtf+JcLG32s38gQ39q9EBjQ0CiO2kdV5WS+9pV+WRUGbKmREY30U0Lwyy+tpZFUfJnb9IYUeW8rbvAy586Ru/3sUTxsaDK0BLxcFZLkBqfxISqAGHVYFJNiJBH5l1/PliUsAvw1oUR/rR9mMcOJtjVt48Ol9tOQ0glmdWJZWFOtZdzWgIc7k9gHUdqgUe2+8gLUVxT4I83TMBE4jMPdZWtYkrmLF5oTzkJpQATwiofObuWpZMrSKXTbOpMc9/eBBvaEljYPdYf3p/g4f0JJlYonDspTNinsq8vw9auJMMlUV1VhrqA6jwzQU3il69vprYikOdzOrKsFFXICLcgIWaLvwEOFxXPqqgGT6fTjrCu67qTfHgsjuIOaIqE3BeDk03eezFJhsumVvCX7XYC7cGeKM1hjc8vr+Pdd9t26j9eNcCXLtD+IYmgY+GVYHkJ4wmX4xjHPxs0xR5PDQumT59Oe7s9FgobYBFnEGKfO16ZSCSK5oJjrcfd/FFVVTZ2Zrh9fS/7++3vCHtkbphfwdWzw1RX2EmQ8+u9rD6a4u2La7h+TnDENj98bztH89wgljEZSJtForME/MclDRwazPI/awfY05e1+4iX7lueNigyXDA1zII6D7VBma8+3kvAIxPyyHTHdT7zUI/T3qU+qNCfNIo4266+0WMeyZzF4cETTwYTCHskZElyHCyPF9OrNd6zuIotXWn+siPK33bG+MuOGH1J46QSMYUoDjZHF6xrUqWHW66YyAfvOlTkXHrHtmGWNPnY0JnmO8/1Owm65RDSIP4ydsX790ubWVir8MY/HS36eyxjOoL4NbPDbOpMO0mzMDJ5AmBDexzTrHUcetztJUVbUhEHF3Pp/XtjJLImLRGNN86t4M3zIyQNmb9tH+S+3cMkcxa6Cc8cSfLMkST1QZU3LKjmvIkeqvwKfp+Xty0JcPGsan70bCcb2pP8bssw06rTfPH8Wla1Jrk/H9csd9fUB2TOaIkQ9CtOMY9wGRKV7iIpRvBMdxsFTdMwDMMRzi3Lcjiq3+934ngw0o3H7eyqadqoPKchpHLWBD/r2lM8eSjJ+5boRHyvHFlRFEuNllD5SizkEa0vSvFyC+OvZU55QiuZr3/9604lnvjX2NhY9PqcOXMIBoNUVVVx6aWXsnbt2mNu98c//jGzZ8/G7/fT0tLCpz71qREP6q233srUqVPx+XwsWbKEZ5999kR2fRzjcJBMJjl06BD79u1zRHFhhSz6TLirmlOpFIqiOEJ3pd+ehDqjY7MEt4V2NpslmUySSqVYUO/h9CbbvntDZ5qNnWk8isS/nlXNVy+sY3atXW2wp8+213vnmQ00V2j0Jw3+uN2uGMlkMk6FjghIPHM4wc1/3M+vNgyxf6C8KF7lV/j8ilp+ff0EFterTmWT6KutmhnOyO/bt5/u4obf7+Pzj3Q7GaNiG+9ZUstPrmriW5fWO38vZ9OeTCYJBoPO+Uwmk85+i3N07277mC6ZHiKct2Y8MpTlxjtbueFPrXzrmV6292SQJTiz2cd3Lm/ge1c0smJyEKVE5Bb9VQKBAIqi8IsNUYbyFkqfv6DJ6dPuRi6XI5FIOMErRVFGLCREMDoQCKCqKoFAgMd29zmi+NktARpCKkNpk9s39PPev7fxq3U9PH0gykfua+frT/YwnDbwer1YllU0Ea9tS/KFR7oci8oZ1R7OmBh2zlE2m+XgkHhNK7KpEfaKqVSKRCLhfKbCq/CZ85v44VXNzKz1kshZ/OT5bt74u7185/niXqZuuG3ou/LX862LKmnLW13Nq/PxloUVzns8Mvz82mbmN/hJ5Sy++3Qn7/p7O197rIPehEFDUOFrF9XzxfPrqNCssgs0UTEuCIzP53NIqyRJfGhJpfPeX63vdp4j8Rl3xmc5lFp7i0zRplBxdXrYK/OexWHOnhhgepWHxqB9L145uxK/at9n/7O60LfS3cZABC8Nw3Cq1kfDqazsOJlgZLmq/BP5bDKZPGZA0L3wGEcBr2WyORrGeeU4/hnQ39/Pvn37aGtrAwpBCrD5QyaTwefzOVxw5c4+njpkz4VeRcIClk0qJEwpowjjfr+fdDrtBHiSyaTzu5gPA4EA02sDLGgotIm5Z9cwP1vbS2dcJ6jJnDUxiOc4pgJFoog3icrg05qDToWFEPYSiQTJZNKxog4EAoQ8MqfVKbx3SQ0/vX4af7l5Et+9vIGbFhR4hG7Z1dR7+7N8/7kervvNHj52fzu3bYry7JEEg2mDj5xVzXvPqEICtnenkBSFO942k+9c3sDNCyPMrfMiS9ARzfHMkQRPHkqybyDLtGoPZ00MMKkiL1JasLY9NaYoDtCdLFTxuwOsAU1iamXx3FYdsOfhKZUav3vTRH79xhb+cMNE/vqWSTz8vjnc9/bJPPiemdzxlml857J6Pru8hncvrmRZi50IKEswpVKlyleYz0+Fl8ncOi+XTAuybFKAKZUePCUb1U04NJjlzq2D/G7zEI/uHSarm4S9Cul0mvrgyBukLW7yztNt6/f2qF4UwP3qhXV875op+DWZ7T0Z3vPXw3zk/s4im/tyqA0olBZDfe+yRh4+lOHmvxS7+kyv0phf70UZRS9uj+n8v8e6uOmPB/jpuiFqgxrfubKF3980lTfPr3C4HEBb1OAv24e4fX0fzx6OMZw28CgSpzf5eecZNXzr0gY+eGZ1kSj+i9c3U+FTi7iXeA6EuA32Gk204XLPO4J/icRhKKxfRLBT8HpRPSLsccdCIBA4JUKtaNV1ongxwvi0ysK6Y1uXfa5qQypiCFzXlnICu68kjBZQfbmdiF5Jgd1XAsY55The7XBiW7rBnj17nFY9wolIOBBpmobX63V4pRgLxFo9FAodV5K61+tlW3eaTz/Qxv97uI39/Rn8msTNCyP8301TecfSJqrCBQF8Qb3NLTd3xPF47Jilx+Nx+OfCpgKXTeZMNncUi1Nzaj381+p+/nvtQFlhMOyRWT45yLWzwgBEvDLLJofJobCh056PE1kTPT/nJV0WQD0J44Ts1keDIkGN/9hjeSxrnbAovqDBQ31Q47/WDPCXHbYVfXfCTpAca9cjXplZNR4ml2kZCbYL6GXTQ/hVydnOeZMC7O+OFYniAhvyVuFjieLw0oniE8Plz++Pn+/mMw91jfj7e86s5osXNAHw+MFE0ZppNOzvy9AfteOG4vnQdd1po1kal0nmTO7Ou5jetCDiPIsBxeQ9S2r469um8/kVNUytLjgD9SR0frG2h3f+rY1vPNnDsweGiCWSVKo6t1zWxBcvbKbCK3NwIMP/e6yHB/eXr+YXzOu51hTv/sshfvVCL4OxlFNkJwqBRMsfsOd/wTmEgO7mSsK11uPxOPxOFBMdi6uIZ3s0fHZ5LbJkJ2B8//n+Ud93stz0ZLmNpmkkEoljFgGJQp5XCl5u7jgaRDHoaxEnHLmeP38+jz32mPO7++GbNWsWP/3pT5k2bRqpVIof/ehHXH755ezfv5+6urqy2/vDH/7AF7/4RW6//XaWLVvG3r17efe73w3Aj370IwDuvPNOPvnJT3LrrbeyfPly/vd//5crr7ySnTt3MmnSpBM9hHG8xtHb20siUajA8Hg8TvWtGAhKe/CKihiwbRl7E6lRbQZVVXVEO/f3ONvSTSLe4sHvc+fVc+5Ee/sLGoOsak1yYNCezDCz/OvSKr78eA/37Bzi/Ek+ZtXawRfdhNvWdPLAnuGypEegwivz/jNruHZBHalUypmkRMX5zo5htvTqrDkSZ0e+irYtn4UX8sgsnRikMezhji39DKYMJoYlplV7SBqF42iLFgI6UKiKdVs9hUKhosy8zliO1flKn2tnheiM6fxt2zAr9wyTLWG2pgXrO9Js6EhTG1SYENZorlBpDmtMCKtMqrao8QGuyuC3zA+yuSNBS0Tl0pmRUXs0if0Be0Io9x7RZ15RFB7Z1ctP19oC8xvnVfC+JdWoHi8P7erjrzuiHB3OcceWggBd45fpSxrUR+x7SgSe7t45xO2bhjEtqPbLDKRMFjf58Hg8TtKGruvsyffnnt8UKsp+K51ERRBABNhOmxjhE5LJt57poyOmj2rFNKfOx+7eNB2uZA/dhGmVKlfPCvH7LUMATAjLfP/5Qj+pX1w3gYaIl1suqeeWp3t4oT3FQL7y6fypYT53fgNBr+ZMsu5MRtGrXtj2CIj3iWvhriKPZimypS21TC8HQQjFNsW1ff+ZNaxtSztBz+9cOYkpdT6+dL4HTdPQNM0JWF4yLcT9e2Ns7kiC6nPGCbetmbivRV+v0fCPDu69GOug47XYFFahrxQh+JVC8MYDmOUxzivH8WqGYRh0dXUVjTOlQQe3q0hXLMePVvUBtiieMSxqAgr/sqSSVXk+VCr8+Xy+Y46nIstf1TysOjREIls87lX6FC6cGmRLZ4p1bWNXIQOc3ujl9CYfv9k0PMJmclZdAF3PlG2BksvlHB4i9lsEbjVZYsnkKvoyEhBlRo2XT51bza7eDDvy9uvdcZ0DA1kODBTmm4agwvwGP9fMreShPUOsO5rgk/cc4qsX1fOBZRPIZrMMJzJs60mzrSfHhvYER4dzI7Zzsqj0ydwwr4IbFzdw8x37i17rT9pn5k3zK0bwEUmSyBkWXfEEfQmD3nzwsy+pkzUKDlSHh4qv7WgMQpUh7LXdokyLop7XpfjieTXUBAoBVE3T+OT9R9nVm6EhqNCfMpxEh3jW5KlDMZ46FEOim+awgqqMDNKsOhzjmZLpVFi5HxgymV2dZU6NxqaujFPBdKx68Y+eXc3Xnyy4UZ3Z7OOrT/YSzRTPlx86p4H1R+Osb08427UTUo0R67GBlMEj+6I8si+KKoNPlUnr5jH7ske8Eoubg1ww2cu2rjT/s87m8QFN4n9f3+xUxLh7FLqrtt1jgK7rDvcUgVjxuuC5Yq0IhXWBWH+6+4uP1WPb47FbGJ2qZEQ3932pIazbgx6JRNZic1eaK2baYojbTj2t62WTlv+RGEsYfzmryV8pPPuVhHFOOY5XM7Q8dzQM0xlnxDjv9/uLYiTu59+dUAXHFqQCgQA7uxLc9vgRNnXasSWPInHN7DBvmldBxKeApZPNFsYZTdOcpMtdvVlkRQWyRXPGuRN9rNwzeu/xXSXV4XKeJJjYHCfkVdjUkXIE74GUyTef6BixHcG9XizK2agbFgQ8CgFN4Wg0x4J6H7GMwZHhF68Sb+/OAiPnWLEecEMCJlSo9CcNhjMmw5mRnxNV1N0Jg1TO4DPLa/jm0/Ya46/bhziOtuT/ELTFbDt+3bSKkhkGU4ZTLOTGxVPDVPkkx8XUHEPQF9zaAnb0pDlrYgBN04oqpYXTlbAONwyDv+3qI5YxmFihccHUEKpacP4RrgyXzKzidfPq2Xp0kLt2RXnuSBLTsr9rXXuKde0pKn0KV8yKcMEkL0HFYEaNj40dNncxTPuaXTkzxOxaL7dtHGQoXbBXV2XIGRZ/3jbEw3ujvGdpHRdN8hLw+5yqbxEDdbfdMQy7AEs4lolYq+CSUCgWCgQCY/LKcm0/R7zHI3PFjBAP7ouzqTNN23CWiZGRYvrJcpQXI4yfiDPmib7/pcJowvg/wp3IMIzXZIHTCR+xqqpFmZduvPWtby36/Yc//CG33XYbW7du5ZJLLin7mdWrV7N8+XLns1OmTOHmm29m3bp1Rdt53/vex/vf/37Aztp8+OGH+dnPfsa3v/3tEz2EcbyGYRjGiN6+wtYuFAoRj8cJBAIkEgmCwaAT3BQ2Q7Isc9G0MGvaUljAN57s4urZEZY02+KdsIXOZm2S6LbGA3ui+e4jrTxzuHhh/6sX+jitsYWAajG33t7Wrt6CAHp6k5+LpgZ58lCCn67t5wsrarlt0zDr25NlrWMEgprE+89u4LIptpCeSCTw+/0MxhJs6UrzQnuKjR3pIgseKJCsty2KcKMrY043Lf6ybYCfrO7np9d4qQ7KDqG86bSaot6ao4nLoiJC13Xu2j6ABcys8fDbzUOsa+t0iEFjWGNRg5eaoEZXXKd9OEvbcI5kzrSDiwmDzSUJhbJkB8qawyqTq/w0BGU+cm4dLZVekqk0oWBg1MDK8UyKuVyODR0pvv98H6YFV8wI8Z7Flbb1TCbNtQvqCWkSP149UCRCD6VN7tsdJejzMK02wOGBNJ974CimZQv+F04JsLs3L37X28EzIQjLisreXpu8TA7jVIy7MwYFhHVOJpNh1ZEYt60f4Ojw2AGuGxdW8oGzG/jYvUfY1VNMkjRF5sBADtOyLUI/90iPc30unRZkUn0FW9qG+e/VvU5VjyD2zxyK4Vcs/uXMaqorgqRSdtWHyFoUorhbCBfXRmRHlrMlFwLDaH1jyiGdTjukV1jZPriz1xHFr54VZlLI3m4gECCTyTiBTEmSeOfplTywL4Zlwc9WtfPhs2qcxanowwM2uRrNSt19fKcqQ7HUrvd4cLLC/Gg9ykbDie6bCBCLiv5TKWa/UoTxlyvY/GrDOK8cx6sZ0Wi0aIwRCYIiSCF6wKZSKXyBAJ/9615My+YrIgj2pYsmENAK23BbqbvHUV3Xi34X1nrJZJJ41uTR/XFW7ovTGRvJZ+IZg7t3RfPbt79jtARPnwpvO62SLz5iu6R8YGk1TxxKsrfP5gg/fLaTT51T6QRW3PODSHrTdd3hKEIsEgGaNYft/VjS5GVqtY/JlR5elxfEEpbGxtYh9vTrbO9KcnAwS3fCoPtggbtLwOGhHB+5r4P3L0lx0bQQtZUhzvbIXDQrwMHeBD9+vruo1+WJosonE8vaYupQ2uRXG4f49cYhyoVqlLzl+t93RulL6rY9ekKnP2kH+I5nH4SAPK1KY2aNl2TO5LkjSSzXawFVYukEH88cTjrXLpDv1VmKLz/Ww8+um+D87vF4mBDxsqs3w3Xzq7n59FqO9sW4feMA6zvSJPKc1QLaYwaUOVJxu/hUibefXs2ftw064vxvNvQxUCaYOdaxhzwS/7d5qOgcrO8o8NCgRyaRNQloEj9fY9+LsgSXTA/ztsV11HoNsobF1j6DB3fZPTlLq8V0E6fXuNj3WTUeVkz20xazeGRf1DmXvUmTX2/o49cbCp/3KfCza5upLLGJdAer3C5jotVOJmO7fnk8HucZDQTsNYhYU4rqHfGcuLmh2L5wLCsHtwhyqlrDCJ58InzlZDmW4KMTwhp7+7McdCWxlNqpf/3ySU6V5PEGMYXtqKIoYwaBT2a/Rwvavtwtel4JAd1XGsY55ThezVCUQsxNQFVVp3ewmFeElbJoqZfJZPB4PKP2HxaQJImOBNz29GHWHLV5myrbMa0bF0SYWBN25jPAKWoQ9spTKjUCmkwyZ7K9bZCZtXbcKpUzGUgZxLMnJmi545i6SVn+quXb+JzoTKNIdmuW9BjanAk0hmS64sUC1FGXCL69J81N8yuo8Mls6x49zvNikDHsxjMRn+y4XVrguHYGPTKnNfpYOjHET1cX2i8qsoSR/+W51hTPtRZiNSfbaudk8KGz6/n52uNr1wh2QkJpIsBYGEhbNEV83Liomh8+18NjBxPMq7MT6ErREFKd87a5O8uKaZUOfxACuWg94ED18rftgwDcuKACTS1Yjvt8Pud58Pl8JJNJ5jaG+OqECJ2DCR7aF+O+3TGiea45lDa4c+sAd24tbF7Cjnf3JHSG0ib3740Ty5p8/4pGHtwX4++7YphWwZnLq9gW/T9+rpt7qry8/8xqTmvw4PP5nBixcLl180Sxf4AToxSFVu6kmtEEVyGuH6tiHOCDS6t4/GCcrAHffa6Pn1zdPOI9Ip56ohzsZAR1WZZPKFbpdt49Xvh8Pufcncq43mjc8R8Rw3S3GX4t4YSPeN++fTQ3N+P1ejn77LP51re+xbRp00a8L5vN8otf/IJIJMJpp5026vZWrFjB73//e9atW8dZZ53FwYMHWblyJe9617uc7WzYsIEvfvGLRZ+7/PLLWbVq1Zj7mslkihaT0ejo2WvjeG2gNIDpHqhN0xzRE1K8Jvp2ZLNZLp5ZybefsSf+de0Zlk7QHbFNiH8CIjDi3u67lzawr6+V9y6t5ztPdaDns/y+91wvXz6/hunVHmQJ+hI6fUmd2oCKz+fj3WdUs/pokoODOT54X2fRcZVmO/pVibeeXs1bXGL1wZ5hXmhPsb69m63dGXIuMuJVJE5vDnDOpBDNYZVvPN5BImexpy9bZOn5vrPqWN8W49Bgjv9a3c/XLqqjKmD382kO2NsT9umlk4U4B6LPSyJrcv+uIQCnhzbAWS1Brp0VYtm0qqLAqpige6IpOqI5OmI6PSloG87SOpimK66T1i06YzqdMZ0NHcUTsCLZlTayBP9xST2TK0dO+McS/3b0pPnW073oJlw4LczHzq0Fyz7zw2mDH6w6ypP54O2ECo1r51ay+kiMLV1pHjuY4PGDCZrCKh2x4sl+W0+G/qSBhG1/CTj7cWQoS1o38akSLRWFSg7RU0oshoSd1p+2DnLP7lhRJZFPlbh0eoj3Lqnmpj8dweU6xeaOJNvbh+3M4BLs6c+ycm80f3yFHlGNYZUPnlXLD55qY+XeGBa2s8AHzq5n2QSNO3ck+Mu2AR7eH2drd5pPL6thyeRqJwnF7/c7Czg3Ucpms05FuGhxYJpmUcWROC/HG7gTGaHCwl6SJGKpHD9eZdv+1AYUPrGicURFuwh6BYNBAh6Z05sCbOpI8vjBBJ++YCKAY2kv2iwIglruHvL7/S9JpcuJEiaxryKB53hxIpmbgoCfSBDT6/WSSqWc1g6i+vFU4JVSqS2ssF6LZHMsvFp45TinHEc5CJtLASH2yLLsWI2Lsf8LDxxhKN/H2JMP1l0/t4IzJgTpHIgVtiHjJGaVzhuih7EQ1I4O57h75xCPHYiRyQt8IY/MVXMqiaZ1HsrP4XpJ8FEfI6tSQuJLj3ZjWHal+ZqjSbpjhfniyQNRdvekmFKpokgSsgSapiJLEhJgmjqaooJlIkmgKgqWaWCv+y1WH7WPqSeh839bhsC03ydLIEsSPq+H+rCH830SyycF6E+b9CQMOoYzdMV1J3CU0i3+e+0A/7NugBq/jEeR6EkYRRzneFHhkfLVqfZ5GcwHJlUJkOxzNtpMYlhjWwlqMtQGVeoCivN/XVClwqvwo1V9pHQLC5unrpgUZDhjEM/aXKszVrAsj2YtHtlfXO0/mlvU0ajO/20e5B2nV9n7aBiIYo6eaJpkMklNQOFzK+wqye64zr174jyyP0bqGCew2q/Ql9Btq9XNgyR1RojiYY9ELDs2P6nyKRxwWaWLd0vA8kl+p394MmdX1186PcQN8yNMra+gezDGhi6Dze0JdvZl2deXHjNRWCCtW2ztzrC1O0PYK3Nag4+msMLmrgyHh8oE5BWJe3bHuHx6iIkRzUnMFM83FBI2RUsgkbgpy7KTQAk47ZrE3wUvFc4LQngQ4rmqqk4rp3JBRXe10KkWxk8EImGndA08Ftz9H+fWednbn6U3WbiHhJ26adl26rIsn1AQU1TeixZHYt1xKqpvxhLGX247zBMJAr9W8GrhlDDOK8cxEnI+ruTWDMU94u6Na1kWpmkWxSrdMZLSsU5RFPrSEr9+oZsnD8axsDnXRVOD3LwowvSGSscFRYxjgUCAZNagO2nQNZxjMD1IT9SeO5M5k+8+1w9Y9CWNEU6PY0GVwavI9hgPZHVzTN52LE7nkRnRkgXsc2jo9nEumRDkgqlBeqMZ/rBtuMhBxi2K1wYU+pIjx/c7dxSezYaQSn9CP+XV2BY4ojjAnBqNhY1egppCd0Ln8GCO29b3Ft0bJ3LewU76HEy/+HlQxJ7F/4/uHTyhz5/oHqw6NMScWg8XTgnyf5tUehM6pzV6ywrjcxsC5Mwk3XGd1UfifGJFk8OjRJJJKc+5e8cA0YxJc1jlgilBxyU0k8kUxaOEY5AsyyQSCSbUhHl/bQXvXGpy97Y+7tg6UHQNBTQFJldqvPO0StZ3pLh3T4ynDyfZ2JHmA2fVcNsNtfzk+W425SvLRaKEKsOhwQz/9mgnSycE+PCyRiZXFuKnInYGBe1CJM+4i/tUVXV4l3jGy40R5RyQRoMqy9y8sJLfbh7i4GCObV0pFjb6R7wvnU4XJXIeD3w+H7Isn1Ds1J0UcDwwTdPRSY7ncyLGK3QfEQN+KfGPqBgX65jXGk4oOnv22Wfzu9/9jlmzZtHd3c03v/lNli1bxo4dO6ipqQHg/vvv5y1veQvJZJKmpiYeffRRamtrR93mW97yFnp7e1mxYoUjTHz4wx92yGVfXx+GYdDQ0FD0uYaGBrq6RvafcOPb3/42//7v/34ihziOf3KMFsAEnEpVKCyohfjmHshN03QW6wBeTXEqxMtBDGiiimBypYfb3jQZ09C5ak6Ee3cNIwEvtCX4224/7z4zyNQqLwcGMmztSiNLEmva+nihLTlqZp17yFQlqPAprG9PsqvXFsDbhzMjxNiGkMaZzV6WTgxwztRqfJrC4a4hJ0MfYGNniv6kTk3AHio8isznVtTxyZWdrO9I8ejhDFU+2+LHTbJEtbw4d6LfkRA7E4kEyZxJQ0jh6LCOR4ZLZ4S48fR6mkOKM1kLS3GxTZ/Px4SaCibWSmSzWdKZDIMpH4OZCP0pk709CdriBp3RHANJnXi2YBVpWDgB6Y/e38k7Totw48LKonMyVnba/v4M//5kDxnDYkmzj0+cXYUsgcfr49E9/fx83QDDGfveeMPcCt5/diM+TeGN8yvZ25/lthd62dSRdK6DBFwzJ8L6tjidccO5JrWRYFF2n0gamFnrw+/zFlWYCGKjo/Jfz3Tx1IFYUa+gar/C2xfXcOkUr9O7+753TudP24boimZ5+nCcvf1ZPvVgV1EWrleR8GsSQ2nTyTx132NvXRjhg/e0OYHQS6aHec/iCJV5cf39Z1azuEHjR6v66IzpfP7hbk5rHOZrFzfg0xTHokVcW0VRnP7ros+4IJyqqlIbUJyAWTKXI6CV76/khkgccFteSpKEoih8/sF2cqZNOL95SX3Rs+v+2U3iPrqsnvf99TBp3eKBXQNcMjXA4cEMmuahOWwfSygUchJs3JmlQiR+KXCiwrjoTyTLsnOeDcMYldi5KxKPF+LeFfsmsis1TXOqBt1BXndwV1RaAidcDT8aRnuu/xFZmKlUinA4/LJ/7ysVryZeOc4px1EKXdeLXIiEuAW2wOQe5+7dE2dDuz2eidYpU6s03nl6JWBzCbC5gZzvTzwakqk0m3ty/H3HEJs7C3PL5EqNNy6o4dyWIH/e0suj+0YG2VUZlk4MsrM7NWpvRHdf6KG0weaukUHCzliubGXPieDJQ0ngxY/xpmVX+44GkVxX4ZGRZDvRz6tIeBSJpG5imLboXA66xXGXKdUFFFZMDlAfVKkNqtT4FSqCfobiSfpTBn0Jg76kQUdMZ0tXhv6kXnSuDQt+l29dMxa8isQ1cyppjnio0EwODGT40zb7Wgc0iQlhjX0DWf68Pcpls2uYWm1zR8HlB1IF9xzRG7uBFP+ypJL3Lo6wtVfn1jU9dMbKz50dMZ27dw2XfU3gWKI42OJ9KcIeibBPLap6unJWBVdMD9AZ17lnT5xNT/aWdUNqCmvMq/Mwv97H9Fo/+/qzPHEgys6e8s9SLGOytr1QMVfjl0f0n49lLe7aGeWunVEWNPi5fEaIZS0GVeEg6XTacXiSZdlp71PKW9wBWK/XSy6Xc8R08b9IBBZzlrDCFNxY8CH3dXPzylNZqXyi2xKJjJqmOcHCbDY7Kvdy28oDLJ3g557dMbKGRSJrEPTYa4nZNR529dl26qn8uJrJZJzWZmItIUnSiGRKkWxZGig9mcqlUowlfr/cFeMiGeHl/t5XKl5NnBLGeeU4RiKZtJPfTMtepwaDQWcMEzENUXgjnClLY5UiDifmno6hFL/f2MOjB+KOqHrORD+vmxnCo8js6c2ytq2bwbRBbzzLUAb6kzr9yRypMVo1dozCAd1x0nKwkzNHcjavKqEb1gn1CV86wYcMrG0fOa7PrfNy6cxKzpsSpNKn5GM8ft68sJLfb4vxJ1fbQ4G+pIEMBDwS8VF4THf85Wlhsbs/x+7+F8ez/RKk8oehyRQVPL0YiKt37ZwQjxxIOEmOo7XP0WTpmP3MFRnm1/vZ3Zui1Hjgzu1RDg4ZfGpFI2+YE+aXGwZH2PILLG4OUOuTuGPbsO3gNJygvjJUlDzidmGwFA9/3dYGwI0LIvi8HkcAdXMGwfWEwB4KhYjFYuzqzfDA/iTPHoo5971Plcjkk14BsgY8eiDBowcSTKxQuWpWiK1dGVqHc/zguV5Ob4zxkbOrOTQY5Ofr+hnI26vnTPu6GRa80J5kw18PcuXMEO9Z2oBPyseU8/N/qYOQ4GGCP/p8PoLBoMMZxDrVXYEucLwxsjcviHDXziixrMmPVvdz+/UTy77vRIVxd4tK4UQ2lqOk3+8/YW4nYp9CCHa7mQp3VnebXXdxmrsq/6UswPlHxSpfizghYfzKK690fl64cCHnnnsu06dP57e//S2f/vSnAbjooovYvHkzfX19/PKXv+TGG29k7dq11NfXl93mU089xS233MKtt97K2Wefzf79+/nEJz5BU1MTX/nKV5z3lRL+41kEfOlLX3L2C+wszJaWlhM55HH8EyGXyxUFMEV2uxti8BH9RtyTiSCgAGGP7AQU/V7tmAttMWC6J2S/38+b5xk8tDfqZPv9bmMfEyIaAY+96P7R6n7c42F9UCVnmGNm+umWTdjKkTYJCHokmsIac+p8TKtUmRhWUSWLRCJBbUgl5JEd20HTgqePpHj7kgZyuRzJZJLZjRW8Z3GK/10/yM/X9DCj2hYph9KGE+wQlRKiOlyIa8JiXZZl6oIq37q0kUf2x7hufjV1FQGn/7mYcEQW11BK57nDMbpjcTqjaXriOv0pk95E7pg9A8vBAjZ0ZnjbGcXVrLlcruy1bBvO8bUnekjmLObXe/nS+XVoikRfPMvPXuhidd6KalJE45Pn1jCr1ouZy5DMb/rJ/cN2f+qSfbhv9zAzqz1UeC2iGZOueI7b13byloURx9b7wOAQANOrVGdCFtaM+3uT/GxdP9u700UkdHqNlw8trWVurZ2I4A7ieDwebpxfgWmavHVhBb/eHOXJgzHcyBgW188N86ftI4Pq02u8/DBfbT0x4uGTKxqZU2WPxYMpg8PDOnt7hzkwmEXOk28L2NyV5uP3d/D1y1uYUqU4PdtF4oi4LyzLcgJfggx9aEkF//GsnYn6g2f7+fY1044pmLqtE4UljKqq/G1rH3vydrBvPb16RD8cYaWuucR3j8fDRM2iKV+99ftN/Vw2PcSdO+I8cyiW73WpMTHioblCpSmkMK02SI3XoE43TtkipBxOljC5s8zBHpvEvSJaSAgB+8X0MHQHK3Vdd663GBPcrwtSKsbLU0EGxyLiws3jRKqcXizGhfFivJp45TinHEcpSpMtRTsIMaYJ0Wx3T4JfvmDPmxGvYguTisT/u7CJSDhoC+zJgkAnKkZLx954xuCRAwke2BtzOJ4swdkT/Vw7u4IzJkX4xeou/mdVV9nqGYDPndeAYUmsbi1UHosgZk3eAQjsQMy7Tq+kKqASyxj8/IVCNYhHkRzeet7kAHPrvFgWqJpGOpO1K5EUlWzObsViSgqxVI5kzmBvf5b2qE6FV6E2oJDWTbIGpHJ2xdHJVHsfC4WK68LGM4Z13DaOYlQ41rt7kwb37YlR41cwLJsTnUiAtzYgM7fOR11ApbnKD3qOe3ZHiwRkJW/B3x7L8Y7TwqiyxISw6gjjad3ic8tr+ejKTrKGxWfuP8L/vWkCsixT5be54FCm4PAEhYqTTCZDX8bk52tHF8Xh2EHvk4Uq20J0LJtzqpAqvTIvtCV5cO9IPqrJEpdOD7JkUoS5tR6qvDhrj3Q6zfzGKl433c9AVuapgzGeOBDl8GAhkCpLdrWTnrevdIviflXCgqJ2A9u7U2zvTnGrCpfNrOKSqT4WTog4lcgi4Oiu8BA8V/ANd69K4ZIkroNIVhTzkFiHivZDIln7ldqWpVScFhVKQvgXCbGla6z59T7n502daVZMDgLwhRUFO/UfPN3Np5dVAxQlnrrX8YLDuntquvuHnqrqnrF4gkg6PZXW7WPBNE1HBBvHq4tTwjivHMdIJKIuXikrRQn+QFFyu5gbhNOasC0W4l0mk+FbT/ewui3lxBO9ii1drmlLsabt+AQQLd9+x7COr0L5ZPlBZpQSbCG21gQU6oMKu3qzzKjxsr8/wwtlBHGAdy+u4ob5FfkYmOUIoSKee8GkHH/aYrvCTK/S2O0SWU0YVRQvB022e0e/1LWdbtFZtL0c7XWBlOsPOZOy1fDlUB9U6EmM/V5Zgo+tmEDE183v8m1xRjtrxxLFwT6HW7sK92TEKxcl8L7QluDtdx7g6jkRwh6ZrlF4ak3Qw+KmAHdss5+lNe0ZrvBrRbEesb5SVZW/be9nKG3QGFK5cKrNP0KhkJP8CBQ5QxqGgax6eHjPIH/d2s++/gKvOL0pwDWzgiybUkFPLM2De2Os3BsrShZti+q0ReNIQEuFSmdcZ3NXmo/e38nbT6/i9jdP48/bBvnTln5Mq+CYENQkEjmLB/bGeepwkrcsrORNi2qc5ElxTO4YqEiyFC1/LMtykjA1TRvVfvxE4mIfWlrN957voydh8OTBOBdNC414z8km75VyNpEcKsa+comixwPh+iQKedz6jNuFQ5xXMaaWHofH4zklQvJo51tRFHw+3yl10jwWxoXxk0AwGGThwoXs27ev6G8zZsxgxowZnHPOOcycOZPbbruNL33pS2W38ZWvfIV3vOMdTk+ehQsXkkgk+MAHPsC//du/UVtbi6IoIzIue3p6RmRmlsLr9Y4vFMbhYHCwENQTg1uplbMY7HK5nBN4EJXK7kG3JaIx3GMP1Jaec4S8ctWXIiAA9uCpaRoej8exX3n9vCr+sm0AvyqR0i2+/WTBJt2y7O86t8XPOVMi/HVzL6vaRhLACq9MtV/i8NDYBMbCJnr7+rNF9uVgZ7ZVeGVawhK7XI6Q9+4a4Po5IefcpFIp3rKkiY1dWV5oSzgBu8GU4QRwRIa+IOqiYlwErLxeL/F4nObqEO85O2z3x4zHi3pLi2CRaZq0D8T54bPls65lybaorPUreDWFwWSO9miuKLg6sULl4mlhLptdxTvuPAjAQFJ3KhzEPror1cX170nofOXxboYzJtOrPXz1wnq8isTjB+L8YsMgiayJIsFbFlVx48JKFBct7ogbfPnRLqeHuybDx8+pYW69l7/vjPLI/jj7Boqvwx+2DtM6nOMT59bgNQyHbM2qKYxlT+4b5Lebh4pcAGQJljT7+del1dSF7KFdBOlK70lB7mpDHm5aEBkhjANlRXEJONCfQZXg2nmVzG8MsKk9wR2bEhwcyDGYLn//RbwyiZzJ0WiOD911kH85q57rF1SRyWdcWpbliOBCDHD3JD97cgXkhfFNXZljBraEjaWAsA7qjqb5RV6cmFCh8t6l9UVCcDKZdAKUgiwJgUKWZd66MMIPVvXTkzDY05NEkXH6bHXFc3TFc+AYLthZyJU+md/f8NIFOU5W0BXnSJBk8Q/s8e9krXtKx9TR4O51JARxt814acDzZOG2hSpFOp12rr3IwH+pbddfq2TzePFK5pXjnHIcbliWxcBAodpEzKvuPsEAad3ksw+0YWELf/GMPca8/8wamoKF6lIjHzRSZMmxS1cUBUVR2NsV4+5dQzx5MOGIuWGvzJWzIlw3txJVkXl47xD/tfoA3a5AVtgrs6TZz1OHEk4Q7b5dQ/QnC2OiR7ErJH6/ZZhBlx32J8+t5YKpQSRJYlV7FrB7SXbHskQzJmc2+1jfkebZI0nCHpm6oEJXMsNA0qA/kSWaNolmTVI5s6w4HM0YRDMvfZsLCbsKZbQkygqvzISwyu4+W9D/8sVNzK7x8PyROGta4+zszZ6QVaVuUnQNJKAmYDvf1AYUaoMKdQGVmrydukeGj620x6JFDX4+vbwWy7J4eH+c2zcNkcyT2cp830nDsgOia1rj/GiVyWeW1xYJ/qYF/7ctyr9d3MTXHu1gOGPyvef7+cJ5ddQG7YS//qQ+QlyNx+PcviXOPTsGywY23ckQIr45WmXQycJ9jcSPQxmTcuHmlgqV+Q1+PnNBc76KxMTr9TuBTCEa+P1+qknxxjlB3jgnyOHBLM+3Z3l83xA9CWPUQLa7kr80ESCtw327BrlvF0yK9PG+M2s4Z1KIRCJBIBBwEoFFBbmY990ipnAxApzAm7D3dLfvckM4cb0SIYQaYASnFMc92r5rikRAk0jmLDZ0pBxh3G2n/tzhmCOMC5TyX7E2UBTFacvk7iEaDAaLEuRPFqMFeN3V6aKX6UvRQqkUqVRqnJuMglcyp4RxXjmOYqTTaTLpwjpRVjXMXHHcQxQ7iApQsZ4OBoMjnIoADg/liops3AmBflWi2q9QHVCo9qvUhT3UBFSqfQr1FT6Cco67d8dZuWf4mMJmhVemIaRRE5CpC6gMpw2eOXJqxj8Lm6tW+WRa8y1P9vePjAXNq/MyuVLjwX1xfrd5kCm1Ac6d6C+ylhfOdVOqfVR4ZaIZkzl13nzBzckVAuTMQgLlS4XagEo8Y5DOXz/DsrlJlc92oDoBcyMHY3G43mOI4gAXTw0gSRJvWljNHVuHTjqxNahJfP6CJvb2JNnclWJHPsbuFsUFFzAtuG/XMOoYXUsymSy1QR+1AZW+pM7D+6K8bmZxUYJIlMhZEn/eZscY33p6jZ0Akm/DIiqIRbvUQCBAfyLLfbvi3LezzYl7ajJcPD3MdXMqmFUfdGKbtYbOO06v4qaFlTx9OMG9u6McKmkfJOLoqmw/m7dtGOCpg3E+f9EELpkW5H9W97Cx036mE7nC+i+WMbltwwAP7InygbPrWTE56MS7hHuPKG4RY0a5+NxocbsTiS9eMDXIbzcP0pMw+N/1g1wwJTDCWUfEW08EQgQX+3MivPJYEHHeUrj5nWVZDofzeDxO7NRd5HOqCmtGi7u6eaQoQHyp7dvT6bST0PtawosSxjOZDLt27eK8884b9T3HunhCLHND9IMVosiSJUt49NFHuf766533PProo7z+9a9/Mbs/jtcQLMsqEsZLgxICou+xWzAt1zP4vGkRtvf05LeljbAGdvfVlWXZycgCnCynvqzCM7t72dBuL9LdQRhhN+NV4PtXNPDLjVE++8DRUTMwoxmTaP4xm17l4cwJfs6bXkVL0MSjqfTGMuzozbC3L0Nr1KA7ZouYyZzpkOW0bpHWDXqK2xfSl4TX/6GVupBKfVBlSrWPGdUp3jwvyN6+NMN5UhDN2PZioVDIeebFpCOCU8IGpdTCXkDY3gkrQpFsUB9UObslQF1ApS6o0lzpI6IaNFZ46YpmePZIkmePJBhKF8aa+qDKiskBLpwSZGqVXbHg8RS+N56z91tRFKeiI5fLOUKZx+OhezjFlx/rpjdpMLFC5RsX15PI91QSPcynV3v4xLk1TKvy4PVqji3PbzYP85etAw7hnFfn4esXNRDw2CLcx5cHeMvCNHfvSfC37YV7E+DZI0naYzpfvqCe/f3298yq93PH1iHu2R1zKvrBTmi4fEaId59eicfFEsVE6raAEf1mRI9ESZK4Y3uf85lqv0I0bYzaM8nC7l1qWvD3HUP8fcdQ0euyZPdWn1XnZ3KFwqw6H5MrFOoiQXrjWX74XDcvtCW5dU0Pzx+O8vkLmqjVCpUx7nvB7d7gzpDLmvZ7R8vQE/ecyJp2Z+z7VZkZNR7292e55ZIGJ2jprj5x2/SIyh8R5Lxqfh23rhsgpVvcvmmYH107GdM0GUjmaI/q3L/Tvi/cRD5axqpWBExPBZk62W2IOXa0TNGTxVgZoT6fz0l88Hq9TvC3tEemeO1UYDRh3F2lZZqm8/NoPeJPFcaF8bExzivH8WpBKpUq4jpi7i99xj99X6vD72r8Ct0JgzMn+LlyRrGArnrs4Lgi5W3aUmleaLf70G3tKvDLKZUa1y+o5pwJPjZ1Z/nR8z1sbE8UVZFMr/Hy7iV1nDUpDJbJ4b8d4vBgFgnY3uMKsErwk+um4CXHH7cOOxxzZo2HHT1p1rSn6U9maR2yx9BDA2mM/JS2vqOwTyv3vXixScCnSgQ9MhVelYAGIa9C2KvSMZzmwGBu1IoivyqR1S0MYFKFQsirsrM3g0Wx4Frpk1nUGGD/QIbOaC7PnwuBlW8+0Tli2y8GFhDLGCxo9HPeJB9nNPnRlML89tiBwrlbfTTJoYEMv9w45FzzmoBKf1LngqlhJkQ83LrG7i8pAU8fThL2DmKWLA6ePRxnxSQfy1r8rDqa4tkjSS6blWNqjX3P9Sf0orluR3eaW57pdfiKJsO/LKni5+sHnXvCLYyf2exjS1e6KAjqV+3z/FJU/JdD2rATEH70TDsTKzxMqw9R64nRXOnD60puLQ2aTanyMKMuwHvOqGZLe5S/7Yyz5mjxwifskfEodlBWN8eufmsdzrHqSIzFjR48eachkYwqxFE3BP8Rwi3Yc5amaUWcVcxVYlxxt5YqB/e66h8BEdTL5XLIsnzCgbumkMqBwRz7S5K23XbqaV3HpxZCV2JtKe5jkZTkTnIVVVJiffdyQVT3iFZRL6VAnkqlqKysfMm2/2rGOKccx6sJg4ODRS5ziUSKmkiwiFcKdxK34OX3+4uSgKAgKi2o99Kb0EfMzV5VYk6dl4UNPhY1+Fg4MYJkmUVClCT5WZaClXuG8WsS9UGNqdU+WiIaTx+K0TqU5W2nVXH93BBV4SCxdI69fWl2dKd5aF8/x0JNQOG8SQEun1NNhWLQk9DpiOkcGszy+MF4Ua/mrAH7B8rPgeG82+XO3gz7+jNMrvJwZDDLLY+3883Lmjm9uXi+kGWZjoSFR7bn4Lt3jSwQOVGcbEQn4pX58FmV/OyFYSemWg59yZGxDNNiRPsXN8pVlQuMJYoLx56xIAGfWl6PaVncurqn6P4qt+2JFSqSZXE0VjjGxpCKhe10esfmfr59WQPvXlrPlb/ei27CokY/O3tSZXnYWI6hYnxeOsHHg/vi7O8rrNXcCRIAD+6JMpQ2qQ+qXD7LjqWK+Kmo1DUMg7YE/H1dB4/vL/Snr/YrXDM7zHXza/BJBZdZEdMUbRA8Clw2PcSl04Ls6Mlw7+4Ya9qSzjHJUvHxHBjM8qG7DnH17DBfv2wim7vS/NezHc61jmVMVNlOKuyK63zj8Q4WNPj50Nl1zGsMOgV+wiJdxDO9Xq8z16mq6lRNl0Pp+4+Fzyyr5QuPdhPPmvxlR5SbStqVngzcBTsiUeHlgDhuEW+G4vid3+932maeKnegcrHK0ti4215e6BYvFdLp9IhE/392nJAw/tnPfpZrr72WSZMm0dPTwze/+U2i0Sjvete7SCQS3HLLLVx33XU0NTXR39/PrbfeSltbG29+85udbbzzne9kwoQJfPvb3wbg2muv5Yc//CGLFy927Im+8pWvcN111zmLvE9/+tO84x3v4Mwzz+Tcc8/lF7/4Ba2trXzoQx86hadiHP/MiMfjzoAjMtqFOO6Gu7eEqGItJ9C0DhY+t70jxnlTJzqCj7BxExD95FKpFEeiJs8eirGmPcWRwZEZTpU+GdOSiGaMvF0i3PTntqL3+FWJSr9KNG2Q1u3qEb8q4VMl/B6FnAWrWhMueyTLYSeybB+bJkN9QEGSFHTTyttYmmQNC9200M1iQmNSsGff1l1+Anh0fxTdgpm1aeZUy0yvr3AG1WQySSqVIhgMOlWZ5c4/FOzmxef8fj/VYT/fuXqqE9RoG0zyyP40P1o9UNTjMuyRuWBamBWTfMyv9znZm8FgkGw2WzS5p3OFybY0W87r9TKcyvHVJ7rpiOnUBxW+cUk9z7cm+fXGQVK6fQ7fuqiSN86rcBYxmUyG/qzC51e2OjanmgwfPaeGS/K2MqIaRNM0JtRoLG42+dv2QUIeGVkqCKkHB7J8+N42dNPOIvzQ3UeLSFNtQOGmhRGuLMmAtK+zPCKI5rbOFvbRhwazPJ2vFpcleN2sCjtrcgx2L0R5TZaYXFkQwadVe5jdECLk0zAMA8uynErrdDpNQ0WAr15Qy4P74ty2YZAtXWk+cNdhPr6iiUtnVJQNGomEBfHMuo9PWNSW3kPimXX3L3eO2yPzg9c1MZzWifhUp1+j2E46nXYSM0Qw1f1zKpXiytkR7toxxLauFMPJDOvbU/xt+wD7+rMjSHtLROPCKcWkQlEUVFV1slFPFELMFwkOpYkDxwvRVzSZTJ5wL28xN1/124NY2LZszWGVq2eFeMOi8laEgPM8u3uWu4PGYruZTMYh8y8WoxH+0c6ZqLwRPdHH6r9+MhB9REuD5a9VjPPKcbxa4bZRd89R7rH01xsHndYdM6o97B/IUuGV+eSy2hHc0rAKrUf+vHWAlfvidOX5jSzBORMDXDPb5hFPH0nx8zU9RQmVixr9XDglwIpJAacdTzplB2beMK+KHz/fjT9flSkgAR/+++ERU345VyEYOxAloEi2uB3wKAQ1ibBXJuJVqApo9CZ11rQmqA8ovHdJFSGPTNAjU1sRREMnEvBg5ArfG81J/G7jAI8fjJEbJbrXEFJ59+JKLptdw66uBF99rJPWqEGVD969OMIft0aLKr5jaZNnDp+4kO+R7e+K+JSi5ILjQcaweOpgjKcOxgh5ZFZMCnDB1CDz672sbbPvF1G59MkHuzAse1595+mV7OrL8twRnQkRL9fNCZPJ6ty2sVDVff+eGB6X0B72yMSyJj9fN8h/X9PItp5OYhmTbz7RyW2vb3b2p284Qcjv5RuPt7PWZad6WqOXfzu/noBH5pcbCsJ4xrCcIOvGzjSmBX4NUvmpNHWKWm5K2Jw3Z9pVRM0VHnTLIp0zSeXsHtQ5E3oTOr0JnU3OJ233BkWCiE+hOqBS6ZWdKv36oErQIxPy+5GlLJJlsn8gy9q8KC4DpzX52dWbJuZKPm0IKvg1mf6kUfR3Nx7en2B9e4rr50W4dFqQhuoKR9TO5XJORbjgoqZpFnFXYXUpXhOcIxgMFgVyRUugcrz3xSRalvLKk4Xgk6I354lU8syu93NgMEd3wnCsSrPZbJGd+k9WDfD58wscU4jPwWDQafcFxYmP4thKz/mLQblzPVrVlWEYznkRyRLCoepUYTzhsoBxTjmOVysMwyAej+OazlG9vrLvdSdziBYdpchms6iqyhcubuHjqRRdSdjSlWJjW5xt3WmiGZNNnWk25atR/Wo38xt8LKj3cmZLBTNqvEhYLKpTuPetLUUFPpqmocgSv9nQR+tQhr9sN7l751HK1AI4qPYr3LioGp9ic4jnDsfoTxrcvTvG3oEcN8yv4MxmH4oic/vGgSJRXEACJJeDi6gids/NORMnxpoz4YsPd7C4ycvsWh9VPpkNXVm2diZOGWd5sRjOmPxkzaDDzX1KPhY6WpXKcaDCA9GsfX5GE8Yt7PN55gTfCDt695kfTSQ/qyWIaZr88Ol2Ht5fzKnLfWWNfyR3HkjpvHl+hLt3Rdndl+G/1/bzibOrnLXGDfPC3JbSOTKcoyWiMa/Oy9bu9JitfgAk2Y6Pve3MRh7ct5+cabGhLc7ZUyqdSlhJkrAkhTu22AVCb11cA6ZOMp+AkE6nMUyLde0p7t0TZ5vL4n12rYfrZlewfHIAVZbw+zUkyY5tieIukZQnimtEO5cFDT7OnFxJZzTD37cP8PD+OIn8/et2J7Kw+f3jB+K87fQq/u/mmfzf+m7+vG0Iw7LXY7ppEfLYvcy3d6f46L2tXDQ1yLsXV9FSG3YK/tycQ/BR0bdbFISVjiFuXno8mN/gY3qVxoHBHHduH+aGBRE8+bZBJ8sr3QmGmmYXn50I19U0zXGEFXFpcUyjHZu4hkL4FvzKzWmFjftoWsbJoNz+jJZUmclkHLdLd8LAi2l9WYpyDnj/7DghYbytrY2bb76Zvr4+6urqOOecc1izZg2TJ08mnU6ze/dufvvb39LX10dNTQ1Lly7l2WefZf78+c42WltbiwLVX/7yl5EkiS9/+cu0t7dTV1fHtddeyy233OK856abbqK/v59vfOMbdHZ2smDBAlauXMnkyZNPwSkYx2sBwu5ytL6NboheDu7KRoH/WdPPQ/vjzoRf5ZN5++K6Ef3hIN9P17LY0hHn6QNDrD6aKur7rcqwqMHHskkB5td7+cxD3QylTW5eWMGd26OjEpmUbpGK5Ub+TbfG7D3+UiORs7h/9zAggsWdeBWJv71jBmCfm0QigcfjGTU72x3MEFaiomeSu7K1J2nxh832NfWqEudM9HPhlCDLptegyva5FxXTYjLUNA3kwpCnm3bGlyzLRVm2fr+fwViCLz/Ww6HBHJU+mY+fU8MPn+93CN3cOi8fP6eGlkixuPWH7XH+tLnfuT/m1vn4z6smEvZqjlW0O/srEAiwNd97fPnkEP+yJMIj++P8dUeUgZSBcBl1B6OnV2t8+Ox65tZqI8iBJEkoiuIkF5QjOuLcBgIBfvNEt2u7Hv64xa5cP6vZxwsd6RHEdmqVh0umhzmjOcD0uiC5TLkqDfve9Hq9Th9pkXkpSRJXzQpzWqOPH67qY09flm8/2cHqI3E+sKSCmpCvSLAUojqAKuFUsos+gaZplhV1xX0iyJ6o2DAMA1VVCQYlR7R3V/xZloWiKCOyrgVUVeXtC8PcvXMI04I3/eHQiHPUEFS4eFqQm06rI+CRy1phnkhATDwv7p617h6WLyZbUBz7iYjjmqbh9XrtnjxiO4bFoaEcP103yE/X2feQIkGVX+HsCT7etihCJOApqo5yby+Xyzm2wZZlFQWQXyzKkfFj9X8U5yWXy41IyjgVSKVS48J4HuO8chyvRhiGwcDAQNEcV4qNHSn+ttNuSTKhQmV/vm3KJ86tobkqNOIzumHREtE4Opzj9o32OBr2ylwxI8RZLSG2dKX5r9X9RTbdTWGNi6cGuGhakAkR34iFdSAQIJFIsHyih1/kRfHmsOq0YRmrksSnyXgVu1JY9Bk8f2qIxrCHVYdjtEVzrJgc4JpZYW7fOMDe/hwVHonvva6Jlkqv09tXkiQnweh7q2zedsn0kGOXnD96R9xSPB62tEX59aYhdvaOLkBXeGUuml7B3BqV5qogh/tiTAir/ODKRr7xZA+Hh3LcsTXKp5fX8duNA3Tm+bc4QxGvRMSv0R3LUuroHvLITK3S8Gsy3XGdo8M5sqZteeju9w02l18xJUwio9Me1emIjT0nx7MmD+2P89D+ONU+ieF8v28tn2BpWDC/zsMnltXSHNZ46kHbnrfGZ7fFuen0WiRV5Vfrep1tZg3LCahJksXECo22aI7fbhriPy6u51MPdpE1LL75TK/To/DhfTH+sK3NqcAPemQ+t7yWMycUktJkqVD3kzPsAFw8a2FaMKvGw3mTA9y2cWjM4z1RWBSqzhM5q6h34/HAsGAgZTCQOrHEQxPY1DkywGU/b8XW+OUem/6Uya82DPKrDYN4FWgKKUT8Gpoqo0gSMiaqLKHKEh5NQTJNFFnC59GwzEE8isxFMyuZUeNzKv2EnaHgTkJ0HnHMJ5jAJwJ+gkeeSl4ptiXWYcezLU3TOHdymNWtCRpDinOMPp+PWtLOvb2mfeSxu9cY7n2AQpseSZJOWXse9/bdOFbFvluoP9WV66L11KlyWno1Y5xTjuPVilgsZrcS9BfWnYlkCo81cmwR8Qx3TElRlBFjixABfT4fjaRpnObn+gU15HSdw4MZNrUn2NKZZEdPlmjGYH17ivXtKX6zaYiAJrGoKci8Wo1FDV6mVnlQZMmJx82utvdra2eKF9qTY4riYM/L644mqPRJ1AdUblpUzd6+DFs6E+zsSfONnjRBzW69V4oKr0Q0Y9l24fnhd26dl/+8rIHBDBwZTNMRy9E+nGNLV5q2aCFGYQEbOzNs7Hxp7YfdUCRb5BSHIkbm0SQ9d8KqXTT+4hwFb1xYyW0bRlqbl/IXC9jQnh67Lc4oL86tlfnpmn4ePlA+ZlaKLd2ZEZvLGnYLydk1Hvb2Z3niYILaQOF+n9sUIuix48qKBB8/12411J+R+N36Xh4/VP67JWxxuinkd9q03L83wdJJFUUur/fviTKQNKgLqlzQ4nX0gXjW5JH9cR7YE3XWXIoE500Nc92cMLNrPEU8w80t3Lb9QmQVhRYCsizTVOHlvWdU8dZFEZ5vy3HX9gGODBVihlo+QTSlW/xq/QB/3DLIdXPCfPd1Tdy5Pcq6fFJnPN+7vDag0Jc0ePJQglWtSd44P8JNi6ohXzkuNAr32lOMDaX88URjlYJjfeH8Oj5wTwdZA362doCPnlNz3NsYC8Il9FjxOwFZlp0iF3d7CTUv1Hs8nrKcWRRHirWze3vZbLYonizG4FOBcmM3lLe+F3Ane55ogdPxIJlMUlNzaq7fqwWSdaqM8V8FiEajRCIRhoeHqaio+EfvzjheJuRyOfbs2XNc7y03aQDcum6AB/fGiniBLMGN8yt4++lVRRnyhgXrDg+xtj3N6tZEUXDGq0gsbQmyfFKQZVMqCGiF/uN3bIvyu419TIpoXDwtyG82DQH2RNdS6UGVpDyzsumVbhgosoJhGjZJlCQsy0SS8mKoJGNZBat0hyBa9m/u393HJUmyTTxNE9OyimyL6oIKEZ9tBW+YFul8pbmMRcirMJgySOlWUf/Bh987E03TnH6+4jwLEfJYFsYiScHdtzyeSPLj1f2cOcHPiikVKPmglXshKyooRNV6KpVCUj284bd7EYml9799MsFgsGjyU70+vrTyCJs604Q8MpdND7Fyb4yMYeFVJN61uJKrZ4WLrK7ao1m++kSvq0pc4iNnV3Pp9NCI43FXQni9Xj5x7xF29mb45LJarpxdaWfHGRaP7I/x642D1AYVOmIGyyaH+eDSapor/Y7gLYiXqGrWNM3JShTHLCqo3T3oMpkM+/szfDIfcHVbZN6woIoN7fGiHjhuyBKcPyXEjafVMKPaDt6Vq9IQ+yjICRRXNRimxV92DHPH1mEMy84k/sS5NSyfVkU6nR5xP/xh8yB35Puef+eKZpa0hB3C4H6vEMLFveCuvHFX75QjEIJwiWp7MT0KEmWaJoqi8G8PtbKtO+0sZKr9CudPDvDOsxqJeAtBPWFXL75LVdWipBzR13o0a6DjJYAvBu4MyLFsxEWVi2naNmvRaJTPPdrH0eFcUb+ysVDpk/nDmyc5FqJuQV4kLZ3qDMxy1/p4zqtI7BgtSeLFoK6u7ph9B18NeK1zqtf68b+W0d/fT2fn6Jbb0bTOu+5qJ2eCX5PwKxIDaZMrZ4b4yNk1zrhrmBZr21I8sDfGlq7iMen6eZU0BCWebU2zo7swHgY1meWTA1wyLciSSZUOx8lkMk4PYjF3KYrijO//+8IA9+2Jce6kEKpsz1s1AZWehJ5PaixUKyyo9/D9q1rQdZ1VrUm+9Uwvkys1fn3jDJLJJKuPJrnl6V4qvDK/feNEcobFlx7t5sBgloagwnevaKQmYAcMROuWbE7nTb/fTyJn8f0rGplTZ/MCSfNxdDDNwb44z7em2NCRIj1GpYxPtXs8j4awR7b7cWdMYvlIbUuFOkLQLrWYDGgS500OcsGUIEunVDl9PhVFQUdhd1eU1rjE0/uH2N2XGbXveMQrE/YptA/nTjq0+bUL61g6MYDP5+P1v91LImfxyzdOpsmVvH/H1iH+sHV4xGe9isR/XFLPFx7pxgK+eUk9mzrTTpLG62YE2dWb5chwgeNdPrOCz13YDHleKZxorv/DQVK58kdx502T+N6zPUWW+ieC2oBMX9K+Ph5FQjetMS3LSyFLNtf2KhI+TSKgSvg9EhIyugXprE5SF22izONyOxA41b3TjxefWV7DVfPqiviPqM5z80p3YLeUdx+LP70UATQ33DxXJMaMlowuEg/T6TT7+rN86sFO6oMqt18/wdmWqqp89O5D7O6zx7G/vmUCPlUt4qsikUA4Y4nx1Z24dCrb5JQK/qMFNUvhXv+dasyYMeMlSeR8OTHOqcbPwWsZBw8edMbmN/zxCLoJv3njBGoDxeKLaNHhTm6CkWN76Zjn9/udYpNQKEQ8HkdVVVvoMU12dgyzrSvNtu4023syRW37wE4YXNjoZ36dh0UNPporVG7+cxs50yo7Z6p5jnWyc6lHkYh4JXqTJmGPRCxbvKV59T5+eNWEovmlP6nz6IE4a9rSHOzPHNMO/ERQE5C5bGaE+3cMEv8HVJuLcxzUJGbV+jg4kHYSK8vBK1M2WUHCjsecSDFVXUChN3l8CV3u5Nty+OSyOn68yk7svGBKkFWtCXKm7TRVyv3vf/tkvvl0L2uOJqkPKtx+/UQAQqEQn7/vIOvKJMsB/OeVLZzVYsdgv/hgK+uOJvAo8JebJuH32UVXWd3k/fe00580+PDSat68uIHD/Sn+vnOQR/dFnX2p8MpcNTvC1bPCVPnyrRnzz5Zw2nHP/6LQQ7RmFP/KPY8imU0k9+3sN7h75zBrWgtFeKpcXCAlYbczmlkf5JG9Q/S5rosi4azrwF7nvfP0Si6dUQGWvRGfz+c4e4qCLRH3FM+S20JdxNNH4y2l7pVffbybjZ12QuMf39xCyPPi+1S7x7axuJwkSXi9XidemU6nnb+5OTMUkhXdfM7v95NOp7Esi2Aw6BTyKYriOMxmMpmiZIJTIaWWc1g6Hq5euj44lfB6vcycOfOUb/flxolwqlOT5jCOcbyC4e4tXg5CDC/XJ+LHq/p4/GBiVEFcYCAaZ1tPjlWtA6xujReRyaAmce7kMOdNDTO/RqYyZAcwJXQyLsZy1Qw/d22XaR3OUeNXmFPrYXdflsGUwY+urKHKrzgZ6WIAFZUEpULP8S7S3RDCV2kG1S/X9XHPXlsc6k0YfO+yRmpD9tAhJqfSCatrMMb+IehN5IpEYLFP7r7O7owut3W9qF4Qorh7wvB6ND6zvDa/LRO/P+BUSLvFYQFRWWwYBqc3+ViXtwwSE6c4X4Zp8a1Hj7KpM41Xkaj2y/x9lx1MXNTo4+NnV9MYLvSLN02T324a5K87os49MqfWy9cvrqehKlxWVBOfDQaDxBIp9uarYebVeZzJuSIU4IbTA7xuZtiubPd5kSw7Oy2VSo0gBZqm2UkZJfbcbkLm7uns9/u5dV2X876sYeFTJd6xuIa7dgzRX6aPUbUXJlf72dSZ4qlDcZ46FGdhg5c3zq9kSZMXOS8AC0Lo7t8s9lUQLfGedy/1c2azn+8/30dbVOdrT/RwbUeG9y+tHXH//suyCY4w/sfNfSydHCnq3Se2LcR4YTMjRFjhGiDaGpQjHOLeE315xH4LYiQs2r92cSNDySy/3xrlXWfWUxOwK3sCeXt2YQPurmoX9tnuBZx4fkurd8R9ciotccpB2EuWHn8pRCBWvF9kv/74qqYiIWZvX4o7d8TZ2Z0mnjVHLIYzeuF+FNdM2Nmf6sDlaBjN7rIU7rFBVO0fqw/h8WLc9nIc43j1wrIsx4WoHGRZ5nOP2P32JGBmtYet3RkmVqi8b4nNG/tjKZ44nOaenYNONbYswdkTfHQnDA4O5vj7zqHCNiVY3OTj8pkRzmzy4FVlJ9lLJHP6/f4Rc5rbmeKqWWHu2xNj7dE4t71hInVBhcNDWT7zoH0s7zyjll3dCV5oT7GzN4shqYDO9h57vDy9uVDlftYEPzUBhf6kwfOtSS6cGuTrF9fz+Ue66IzpfPWJHr5zWQN1lSGy2Sw9gzGebU2SyNkJhiv3xrh90yCdMZ3B46zsrfLLnDclzKRKH/F0hqG0SX9Spz9pMJg26E8aZA2LWNYcYXldKopDsSheG1A5f7KfupBKLGuwvTNGfchLQNbxeBS8qsrcOh9nTgly/fwqkskkP14zyGP7bU5y3uQAR6M6rUNZhjMmw6OUTh2v4Prd5/p4z9I6zpwok8gL040hFa+mOHPQzYsqiWZM7ttT3BszY1jMrfNy9eww9++J8dO1A/z0mibWtqdoG87x0P4CL60Lqnz1wjpm1PrBZeGdy+Xw+/0oUvEeuy013/aX1jHFZrfLTzmsmFrB3TuGAPjzTZMI+r1kdIP/eLydtW1pJkVUagMqfUmD4YxJImsUfZ9p2ceaMSyio+iMMrbt6onCvdtBTaIxrDGU0sv28lRlmFvrZWq1l85Yjp09aeeaFe2LBI1hlbm1XppDCiYSkqKSzuZAUsjkdFoiHieAKpIqRUCuNNEyFAqRSCSK1kYiCVbTtLKW6yLB+KWEoigOdx2tosbNq0SPS1W117dGnhMnk0nbec00+dKFDbzrr0cBuHVdlE8vqy7iqyLpVayvstmsk/SsaVrRmvNUoJSbH091ldvpSqzHThWnBJxqqnGMYxyvPmQymaIxRJEkdCyM/JQjxHBhLVzOiUPwwWO56bktknVdt9fFqRSz6gLMb47w+lQKr8/PjvYhdg0YbGyLs6PHXtevbk2wutXmEGGPjE+TyGUsLpgW5qmDxVwk4lP44Fm1zKv38LkHO+mM62gyvGlehEODWQ4OZulLGqNyoqxh0Zu0Xy0VxQF29qR5252HkSS7SCetW6O6IAloMvzXlQ201EU40B2lIwH/u7ZnVM7mRn/S5K/bBqnyq8RF8tcYVuWnAn5N5qwJPq6YXcX/e9huKfIvZ9qFNz6/n1seO8qTo1RNlzukkEfm/13UxOLmIL9+oYu/bI8eFyc9HvFPtAN63awIt28o31/+A2fVcdn0IL9a32/HiSz40VVN/Hj1IPv7i+doVbbjTxU+m0NkdMuJ+8XTOTZ3jT6np9IZTNOO/10wyc+6owmyBmzpSnNGsy3kPnUoTX/SoNovUxdU+Nz9h9jgSvScUunhTYuqWTHRi1ctduDMZrMjBFbAEU7FcyhikyIOWNrmRazdBL9b4jc5rdFH62AF9++J8diBBMl82b9g4xbwQkeaFzrSRLwSc2o97OvPYlj2vdiT0Al5ZDRFYiBl8OPV/dy/N86Hzq5nUWOhZ7rX63WKfkRxn9hPNy8RMd3REvtK3Xg+u7yGt/+tHdOCHzzfx9cuGr3F4slgtGIiwasEtxIQPEtcCxF/BPv+ymazRW10xWdFpbm4Zu5+7EIcP1XxvHJtH4/XbUlAtNQ4Va16ROvbY7kh/TNhXBgfxz81LMsqK4yLPsKZTKbsYvmHz/XyxOHiQUWW4G2LKrlpYQSARNbkhfYUq44m2dCeKqqarPQrrJgc5uwJXhbUewn4PE5Vr67rTsW0YRjOwBfyyNy4qIbb1/dyx7ZhbnldC+/5yyEMC777XD8/vHayU8FSasVmGEaRjbvoj3u8g6PIHiu3QH/9vEpHGAd4/73t3P3Wyc5+QLEVsyRJRHwq502zCYOwSRaCrphQxfsVpSD4u/dVVB34/X6HuEOB2ItkgNLKU/EZd7W4u6J6Zq3fEcbFIsMwDDxeLz94tptVrcm8/ZFF67COX5N43xlVXDEj5GSd6bpO+1CaLz/R6/QAVWX41HlNXDm70r4/EomihAVRNZXJZNB1nUAgwM7uJLoJVT6FppBKNpt1SEomkyEcCtrVD6oMyE5FROlELGzjhRUp4AiuQgQWFeMej4cX2uKOIA9QH1R588IqblvfR1q38CnCyqmAeA7+45J6OpIyd2zq4ZnDCbZ1Z9jW3c3ECpXr51Zw0bQQ5O+hctlvIqNQZN95vV5m1Hj5r6ua+M2mIe7bE+O+3cNs7EjyufPqWdgcdvbbva0Dg4WglLj2oj+4rutOCwTTNEkmk87z7j43QpAtvR8F3GRIvC4+K0kSlcDHl9U7dpfuPiyl10dYSkJBcBUQ++LuZ3Oqq6ZHg1tIcbcqEBDPnLgf/X6/c68JCMKfTCaZVevnW6+rdp5LgGQO/m9TP2vaUpw/ubhvuDuI6fP5HNH9VAYwSxdzx0vwxLNoWVZRMOFU4FTbaI5jHON4+ZBKpUZwJWFHZxgG//lkO+1Re65ZMTnAs0eSKBJ8dnktnTGd+/bEePpQwuGMFV6ZcybaQZF1bSkG08UuQ29ZWMFV82qp8tluKO5WIbquO4lvpmmOSC5Kp9MOz2mJaJzRHGBjR5IH9kZ555kNfPuZDjKGxeImHzcvqmTtEYkX2lO2bXFrnAunhdnZa8+RCxv9DnfNZDJcMSPEH7cO8+C+GBdMscfGd54e4b/XDHBkKMcH7+ukLqDQFdeLkkUzhsUTowTySqFItuj8sWX1eOWCYKjrusODxXxpWRaxtE7nUJKkpdE2nGVjW5wN7YmyQqUbfUmdu3bFyr5W4ZWp9ts9q+tCHiq9Eg0VXgZcCYQ3LKplYVOQZFbn4ECGnV0J9vdn2NadoTteCG4cb/w0pVvcurrH+T3okdFNq2i+BagOlF/Gb+xI8c7TK1l7NElXXOfn64dIZYvFvHecUcN7zqx37iP3PZ3RTfa2DZMpUb7dv5WK4qW88VjtMTe12ec7oElYssKR/jgJQ2Vzvt/pogYfQY9MfcgkmjGJpg2iWYuBRJZE7vjOpQnHfKNHkdBkybFv1WSYUKERzZgMpAwSOYsDA+WVd0Wyz8O2ngzbejJ4VYmlzX4umhrgyHCOB/cl6M1X7pgWdER1OqI6sgQtEY1Lpke4cUkDYb/mXANxX4tEX9GGyS3GaprmtKYSP7u5jhBO3AK52z3ipYSb35RLdhSijEjuFo5MliH6r9u8XoxbpmnSUh1y3CyeOxLj08uqR3yvCIiKtaNYa5/qAGZp0BXGtrsUcI/T4lkT66BTIY6P88pxjOPVi9JkS0UGDPB4fWiaNKoY7oau66iqeswEKCHyCCFFbNcdq8hm0iycWMn8ZpM3L6wmkUxxYCCbrybPsr07VZSA+NTBWFFlqypDf8rgW093s6jRxzWzQ/wyb+39t53DRRbfYmz3KvChpdU0hTWePhznyUPJogriCq+MR5EYSBoOF+k/zsRK8R05Ez7yQDeTKwcwLIvOmD5qgt+7z6ghY0LrQIr2mE571HZ0FHM6vLSiuCbbgv/Th5OsOZp3MJLgmvl28cgje6OOKL64ycemzjTz670MpnQ6YuXPSzxr8uv1fXTMynH9/GrObPZzy9O9x0wM6CuTFFi8rxI1AYVoxqQxrI2ocha4fJoPRVGYFNHY2ZthZ2+aOY0T+fHVAf60bZg/bu5znIMMEwbiGSLefKzIsByuv+rgIFnDIqRJxMvw+xyFiu0zJ4XhebuP+MP745zR7CeVyfGHDTbHtpD4xlN2BbsEnDMpyBvmRphXqzqx21L+IERTd6xVFOAI7gE4xWvuIpBSQT2TyaCqqlNEpus6U2qCfOBMjbefVskzR7Pcta2/bBX+cMZiOJOPY6oSyfzzItZcTWGVoZTB/v4Mn115lOVTwrxvSTX1fkbwDlVVsSzLcepxx/KgENt0C+Tlzk2FT+WiqUEeP2gnWnfFcjSGT759YGniYWkRj9s2vTQWLOBuFQSFhKCxrMjFsYv/hej8UhTxlB7T8X5HKpUiGAwWubcKPWi0BIITgSgQeq1gXBgfxz814vF4EZF0Z0KVy3777jM9PNNaPBApErxtUYQbF1aS0CUe2hdl9dEkW7rSRZN+fVDh3JYAyyYFmFPrRVMV/H4/iUTCEYeBosFaVF6Kfbxmdoi/5ie/XT1pqvy2Pfm27hS/WNvNu06rcD4nCK2u647ts9iux+NxMu2PZYEitjca4W6KeJ1gKthE51/v6+Rn1zU7Anwul3Mme0EioNimRGTtCwGstMIpEAigKIpTRSusnkRgRARKRrMNce9/Npt1kgWEMCoWFfNqC5Nz13CGxohtqfPfz3Xy8F47UCdI2dktQT58ZiW1QbVo2/+3ZYg7tw458bZZNR6+cUkDdZFgUda+sPQTNjvua5ROp9mR71k+v75QzS2unxAgxbU0DMMhXGLCFEFqcV5FL3YRbDIMg2Aw6PwushO//vBR53jm1XlZOsHPz9b2YlqwuNnPpo6Rk/HpTXZGYzMpPrO8lvecUc3du4Z5aF+MtqjOf68d4Pdbh3nD/Cqunh1xetqI6ySumZioDcNwrr1XlfnXc+o4b3ol33mqg/Zojk+vbOemBRHetdS2nPZ6vU4FUiJP+MS9LbIzRZW1sDZSFMW578R95SYL7r6N5QiRuHfEeFFaaS7s7IPB4IjqazdEXxphu6Sq6ojsQLdA7k5wONUQY46oQhJ/cwvx4hnO5XKOFaZ4XYjl4twriuIkBmSz2RF9ljwe+OjyRj6SJ9uyLDsEMJ1O4/V60TSNeDwOHD8ZPF64r4lbVCoHMW6JpKXS956qqvbx/uLjGMerF+4AprDqFeP3M4cTPH7QDlTNrfOwPm/zd97kAL/aMMj2nkIgYnKlxtQqL0cGMzzi6tFX4ZU5o8nHqqN2wmVKtwjKOtmsPe4KIcUthLgDHKVCi5tjvmFBNRs7kjy6P05nzKA9mqMuoPDZ5bX4vB6WT6/B+2wfGd3i7h0DLKiROZBPolvYFOBof5zOmE5fRmI4r4Lu6Mlww59aR/TpHk4bznugUFkzoUIllrHFztHgUSReNzPEe8+oJuj3OlWogu8K+08x10NesDJydKclHt3TxwvtyRH9FQFaKjS+ctlEfvOCnQhZ/JpKyKswkNQZSJvkDMsWZTMmh4dyQPmx/xP3tRLx2db0VT6ZKr9MjV/hjXPDdCZM7s5X/5+sRXcia/LG3x9kbq2HN8yvYkmTh8pwkMcOdACwuNHHJlf1zLef7eM/L2vgX8+q4t+f6uOx/SNF/4F4xq60NSz29aXY359hX3+WA4M5Dg1kTmg/m0MKHfETE+aODNvvT+Usrv/9wRGv3783fsxt+DWZCo9EhVehwifjV2VU2ebwiZxJMgfDGYNYxiCRNctatWcNq8gWP2eSv9bFkICagM2HommDjDGyOi2jWzzXmuS5VjsZpiGkcum0ABndYnNXxhESTAuODOW4fUMft2/oo8qvsLjRy3VzKphRU0hKLG2/IyCSZN1iuljnuOEWyI/XLedkoCjKiH63mqYVrTvd7XiAIutOWZYR3aksit3IRIXPrBrbRS1rgJyvyvJ4PA5HBZxka/ca7KU4Vvc1GcvuUqx9BacU7nQChmGMiAOcLMZ55TjG8eqEaZoMDQ05v3u93ny7Pot4MkXVCTzb7kKSY32nO/4mnBvdro3utW44FGSWLDGr1sub5oOiedjZGeOhfXEePWDP1e6YqG6Clo/ZbO1Ks9XFT3KmXW0+rdrD9u40hgWTIhr/cUULNR6DobRBT8IYYas9FmcsrdxWZfCpMhndJGdSNPdblJ/jBSTJbjP5zOE4LRENjyrTUqER8Uj0p016YjmyL15zAopdeEqRM+3j8CiS07rPsuC2dd3Mawzxw2dt/vf2xTU8vHcIgBnVHu7fM3ai1b7+DPtW9/DT1TApojKlSmNL14tLzrpiRoiN+Wv8i3V9oyYbdMRN5oVUFjUH2dmboS9p0JPQaarw8r6z6jlrYoDPrjxK1rBbfn7k3lbeuKA6fz4sR5Bd22bfux5VgjLC+Jb2GMsm2M9BdUCjMaTSFddZ15akN6vw0+e7HbF/MGXg1yQumx7i2tlhptVXFN375ZL7RKEbFHiHKOQSaxMhpIrPiIpxIeBCIe4k1jKqqjoxTYCAJvO6aT6umT2FjR1p/rq1j42dxbzGo0jkDMsRxd3ozIvpUyo1WodzPH84xpojMa6ZHeYtCyOEvQXRU8RERaxSiP6lcBeoiX0v1VQ+clY1zxy2LfK/+1wfP7yyacR2jgURq3SLxqUxOFFQVO51wavc1upuPuZeQ4ukBPF+IQaLxFJ3Eqo45lPJL0uF8bEcGoTwLbQdtwU+4LQjLU1sOBmcqh7qrxa8to52HK8pWJZFT4+dDeZeXIvf3ZPat5/p4fkygvi7FkdYMTnE6qNJvvhIFzt7M0XkqiWisazFz7ktAaZXe4oGNhGEcA/spRbnQlgSC2KPZPKmeRX8etMQv9vQy+xaj5Ml+Jdtg8yoUlg+qdAr2Q3RY81dhQmFDFIhHAphSuyrqCp3L+Dddm+6rnPRVL8jjAO0DmdZ1Zrk3BZ70hQTx2jBAXeGnNuuxS00maZZ1PcEcMQyMTDncjnHPlSgNPOutN+0OM/iHC2d7KE+2E9tQMWbD6rcuTNRZEcZ9sp8dFkjF08LFQWd2gZTfPHhdjpdVeIfXlrNFTPDzrG5RVkhZouJ1D3BmKbJ7n57O/PrvUXnS9hhiX+iqt4t+gqSJfogi0oqt8BpWZZzDkWm4v++MIBIsD29wcuU2gC/3Wy7Klw+I8T1C6r48N1HKcVVc6uLMier/TIfOKuOdy9t4IFdg9y1Y5DehMGv1/fxx039XDI9yE2n11PjsQNJlmU5AoIQU92ipdfrZV61wf9c3cTPXhjg6cNJ7tg2zMauDJ88p5op1T6qAwo9Cdt2SwgDQpgAiu5pQdTcdoUiUUVAJFqIRJNy96+wsBT7mslkitoOCMFd9LEpfcaFa4BbVBf7Xc46x7IsZx9FNYnIRH2xEFmtpUky7nvGneUq/i6STETfbXF/OuNWPkgpzrdIeBFWU2L/ywUTRdKAsLw/FRmObpT2fSp3jcX84Cbb5a4NnJpeQuMBzHGM49WJTCbD8PBwURsPMa4NZmzbOLD7TGdyBindQpPhqbwDkSzZiXQSsKcvy5GhApdYOsHPJdNCLGn2oykSTx9O8L3n+vjz9ihza72c1RIcYWkn5tZSkdzNr9zc6LTapNMr8PnWBKoMXzy/jvqI/f6cYbKg3suGjjTbu1L8aHU/Vn7/3v6nA+RGKY/JGLZwWB9SmRDx4pEtXmhLYliwbHKImxdV8rH72gBoL2NrLhDUZN44L8y7z2pyFvvlqindFaG6YbK+dZinjyR57lDcqfwFO9h6+ewqZlR7+OJDbUjA0WiOL6xsJaubSMBbFlTwl51RdNO2XG+ugB+/fgq1foW+aJL+lEHCUOkasn8eTBn0pwx29WaKbOBLEwHKwX32hEge0CR8qsxganRLUfHZnX1Zdj7dbR9bhUp7VMenSnzp/Fp+vn6QJ/JJGWnd4v891pX/lsL3fXx5PQ/sGmL/QJYH9sbZ3JWhK5Y77qqngCbREFQ5VBJUPlFRvPS4wK6OkiSJrGHREFKZXeulwivn/ynOz/WRAB5yNESCWIa9HyLxuJybUi6X4/Bglk+s7HTOwzvPqEHXczzXmubI0PFVUVtQ1MtRQAI8ir1mzJk4yRiGBR0xfUSVj1eGrFl8LwymDJ44lOSJQ0k8isSsGg9Xzq1m+QSVcEmipDtZViQKC+crcS5Knxl3taEQk09FAqK7p7l7DFJV1XFzgGK3HXdrIrEvNncsft0d8FRVlX+7uJF3/LkVgB8808Wnzqku+k53JY9YE4ig86kMYJYK4+USF4SDSDKZLLp25cRv4SA2LoyPYxyvTQwMDDjWxmBzOCU/HsrKiYfqT2QsEXE/Yb8uCgigOLFcuI4YhuGMs7NrvcxpivD4wT2Y1khxeiyjnpxpsSUvpC6fFOCT59ZQE/Fyz9Yefr5+gMyxLGfyEDxKfO+iRh/XzAqzbEqY/X1p1ranefZQlLYxeGcpxDL/4ECGgwPHFowVCar9MiYS/cfZh1vgWBEP3QTdFXg2gTu2DsHWIQDObgmxbHKI32/qR5Hgnt3lnY8Cmi2uexUJw7Ic4bp1WKd1+MTb9lX67OTPA4P2vfbskTjJ/G3Xl9RHtZg/PGwwp95kSnXBQfDh3QO8bXEt2WyWiSF7HZDNz+1z67yE1by1tZmP78mK01t8sKSSXXzv9p4Cr1MUhbMmBrh3d5ScCe/980GHf1V4ZW5eVMklU4MEPLITSxUx8VI3VRFLdUMI4SLeKgrA3HE/EZ+F4jiSO1lQxNVETEpA8JhzJoc5e1KIQ/0p7trWxyMHEugmTmJnfVBFlqArPvJ6Hh7K2fw97OHQQIZ7dsd4/GCCmxfZvdMrQkEnVlfaSlKsNUtdady8SsTvHZ6pyrxpXgV/2h5lb3+W3b1p5tQdX6sXESsudclwx2lFVbs4P0IX8Xg8RS1yRbxWHIu7TaW78EnEiksFc/F54Tp7qu3Ky0HTtLKcVdw/7tfEvpVCOLO+mJacIj7+WsK4MD6Of1oMDw87tibACEHa4/Hw7491sLptpCD+pnlhfJrCs4eT3L5xuOj1mdUezp0U4NyWAC2R8gtRr9frDFzuLHFRUS3stN2ZUGIiunp2mL/vjNIV15kQtjOWmsMqHTGdH6/qZ1LEQ0ukkInuFhjdQQQ3xARbKjq5haLSCUhMTIZhcG5LgIA24GQsAvzX6l7ObZlUVHVbbjuCaLstm4VwKapSRTaXmJzEhCMCJ6KiVFRBi6ppMSGITD3xWXdPZPGdUEgS+PUbW5yEhW8/doRHDxYmt3Mn+vjXs2upDqhO5YFlWfxqTQd/2lboxTOzxsO3r5iATy4+p0LYdJMhcW1FBbmqquR0g+3d9vfOry/OuhPHnU6ni6qgRZWu6JsnzqOwgwmFQk4VrtgXUaFsmia7ejNFCQB+r8bdO2xR/D1nVHHjwire+IdDzuun18ls7rWP77S6QkBewDAMZEvn2llBrpwR4PkjSe7aFeXAQJaVe+M8uDfOuZMC3LCgilnValEAX9wXogJM3Lshr8LnVtSxYlqOHz/XxZ7eNJ9Y2cl7zqjkjEYvDx2wz1nWslAodmAQxy2SK0qzChOJhBOEc2c65nI5R8QtJTpif0ufZ3FPCQtykcDgfk8puREJKAKCxAkCWApRVS8qcU7WbrG0kqcUpWOQW8wWr4ufRS8et41taVW2+3t1XXeSWdzkTVwbIaobhjFiMXAqUJpF6a7MEc9TufNSTqB3JwO4/3aiYv54AHMc43h1oru72xGb3WOBaZp84v4ODMsO1EV8Cgfz4mHOFH2KVTpjOrv7CuPgzBoPV86p4pxmjQpvsV3ZBVOC7OrNcP+eGD9Y1c9/X+OlzrLHKjFOi2pQwEnUGm18sSwLRZZY3ORzKtTPmRTiiYNx/rB1iM6oTndCd5I/LWDN0YJTEFgoEjSGNRpDCk1hDcO0eHBfHJ8qcfsbJlDhU5x5dG1bkm8+1cuqI3FWHRm7+rfKL/OO0yp5/cJ6RzRTFMWZV91zuUhU3N2b5uH1HTx7OFlkP18XVLlgSpDLZ1cxvcZuo9KXKFyrKZVaUbXQJbMqecP8Sv7tsW7292foiOq87Y4DvOuMWt6xpI76yrzTzMSC+04mk+Fn6/q5P8+nLpsR5oYFVfQndfoSOfoSOQZSBsMZaBvO0jqUGREkFL8mcxbJ3IkLy635QG9at/jUQ9289fRqRxi3t1v4FhE8/snzPUWCrLD89yh2OydFkulP6WUrq8W+loriJ4NKn8xQ2p43P3xWFZdOC5MzTN7xNzt54t/Or2Nadfmqt0DAj2l6Ha7rTmoTATF30u2RoSyferATw7ITU265pJ659T7+Z22/I4rftLCSdy+poSeaZnt3ml9vGnJE8JqAimGaDKfNsokLFoxwSxgLx2plmjUstvdk2N7Tyfex+5KfN6WCq2cGqAkoRZaJ7upAIXCUtgEasf08DxPBxJO14BYV6uUEdnfLMFEdpWlaEb9zJ3HbiaI2DzUprmYUx9ZS7XPscJ89FOPLl7QUuVC5eZgsy06CqVhbniqUJk2W/i4E/XLnv9x+lLM9Phle+Vqr7BnHOP4ZoOs6AwMDI/r3KvnxMJPTAZvTHW/bBRFbOFbrDDFPCC6bSqXQNM2JyYnYiBAKS4UlsF1bZlR72JvvcSwEWDcqfQrRjFHEK0Q1+MQKlXjG4JMPdtEZy43KPQCunhWiJqDw8P4E3Xnxz/12GZhf52VTZ4qfvzDAgCtxUZbg9OYA504K0R3L8tftQ2OeGzc8ikTQI6PJEoZpMZQ2ivicYUFv8tQm9Y8Gn2KvKcT3v3A0Tlcs4+zHaFjW4mdDR4bBtMFVM0Oc0xLg6cMJ1rWniB1Hf3U3JOBzy2r4et5+HGxLb+e7JgXZP5Chp4xAu6c7zlWzI1Rohfc/fSjONXOruHvHMA/sjTGU5/OyBEsmhphQmY9pYj8vm9vjxDJm2Wr7kFdmOG1yZChLVzxHjV/lvu09ToW52A7Y67Jfvr6ZoEdxqoRFIVep245Yh5TaSrtbZgqIil03NxDcTEAIzaXtMYXTjlgDuXUCEddsiWj869m1vHNxNffsinLXzmEyht1bHGBalUa1X2Frd5qsi94lcxaHBjI0hzVMy6IrrvPL9YOs3BvjX5bWsaTRdtgsdccUz/xYjoni2Nyfe+uiCPfuiZHMWfzg+X5++YYJZT/rxrG4q0g6TKVSTqFOqWW6KFwSsUthr146HoptpdNpJzZceoy5XM55j7DPP1aripNBaSuk0iSAck65MHq/9XL7WK6yfyy8FmOV4yx6HP+UME2TwcHBEWKWsJ770srDTp9pAUWChfUe+lImf95RnHE3vUpjfoOPubVeIkEvqXSWI0NZ9vVn0JFJ5SwSWYNE1iBnSiQyOdK6RUa3yFl2v76cYWdIZnUTw7IzAHXDwrTAsOz/LauY5G3otMlORrc4rSnAls4k3362j+9f0UCVVy6qsBTBDWHFInpVl1YTuTHWACkmZltszHD+5CAP7S8EN+NZy0kAEJN3kaWly5LF/T2lAQ+xH+5KdlFVLDL1MpmMQ1rEe929TtyTRTAYdARhERgRVb9CBBWBpFgiyeMHi/dldVua1W1to54XgX39WW7446Ex3yOV/CK5/m7mr7VPgTlNFWQz6aLqBpGVKyzxRVWBIEjCbkcskkTfPiGCir5RoVCIRCJBXyLHfz7bV3ysrXE8isRnltdx2ZwaovEEKb0QSO3LFminpozss+O+rqosccHUIOdPCbCtO8Pfd0V5oT3FqtYkq1qTzK3z8Ya5Ic6ZGECRpaIszFAo5GRaClw2q4pFTQH+84k2NnWm+d8XBjmtqSDK37F5mLcvChd9xi1UlGa5CVt6cS+IvwFO8L3c8+CuuAPY2ZtlVpXuBKHc1TLimojAWOkC1k10crmcE+AXCRCjERwh/o9FGEeDeK6OtZgWLhpQEPBFQobocyls6UU7CvF3kWkuklTEwkIERN193KFw32QyGYd0vhSZl6XnVIgaJ2uzKY5fJEaINg8naoM5HsAcxzhefYjH46RSKedZV1XV+fnfn+xxgnAW0Dps/z3okfDIEoNpkwMD9t9qAgoXTQ1yybQQLRGtrF2ySPL64Nn17OvPsqcvwy1P9fC9KxrRlEIrHcF1BMcTwVB3m4xAIFCU8a6phcDOc4dHCtZavjegRaH64oYFEV4/v4bGsAdFlpyETNOy2NyVpjOms/pokitmhjEtizVHk/zR1W5mNDSFVD6wtJqlE+w52R2QcbsBib+1Ded4vi3DY/vbHItAsG05l08OcOGUIPPqvciShKYVst1F0oEFfPWiem5dO8D6fMuYh/bF+OBZdfz4ykbu3xPll+sHMSz49YY+Ht03xC2XNjCpLoJlWU41KxQngQ0kdWbWB2lJpzHNfKKCbvKn7TGeP2I7TVV4ZaZWe9nSmRphqT6lUsOrSgykTAZTo/e8HA3t0Rzfe6Z71Netkv9LkTVgIGVyrPqlckHvUixp9rGjO0PasMram+om1AQ0htL2eexLgVeVePZIipxpO3FNrRo9IFMaXHS2ne+J6P5723CWT67sJGfaQdbvXjmJmTUe/v2xNjZ2ppEl+Niyel4/v4ZkMsnufp2frh0gpVtU+mQ+u7yWZdPt1wzTIqorHB1I0p3Q6Y7r9CQMjg5n6Ukc2y3gZGBhW2H+edsAf942QMgjs6Dey1WzwpzR7C8SfQWHEmNAuYCtGyLIe6z3lYM7+bscxFpOBCgBx7VJiC+ifZRIjhQhZCGMiFZIwuI3m80yp87Hzh472Ns/PEzQ63Wqs8Q4KhIjxBpSBE9PFUrXFiJQKrjxyXB0EXgXicJiDXcieC0GMccxjlc7+vr6isYnMR6r+WFGUbWTSmIqHffEeCpigqJdnxvCRU+4H4qxVdd1Z1tCTBJxtFwux5x6P3v78/GDnIUsQbVfcZLL3n5GLZdN8/OnzQPcsT1a9J1tUX1ENbeE3Rv5rAl+Lp4a5OMPdgFweDDHA2O0WDGBO7YVipn8qsSSZj/nTgpyzuQwXsmgJwXv/VvPqNvwKBKzazS29WQJeWS+dWk9PXGdnX1ZdvVm2NOXKSveqxLMqfPi1WQ2daQwLTvZMJUzT2kfcjfN0GRbJD9yHMmKYa/CJ5fV8LUneli5L87ZLQE+tayW3kSO9/y944T2wQK+9lQvugkTwyptJa44X7ywgTf93o6PehSKxNlDQ3ZxU3244JR5eCjHW/90iFzJiX3T/AounxHGXbSfzJmOyF1uhgxptjAO8JPVA7QOZ50kzFLctLCSoMfmiu7ikdIWMO7ezaXipHDwTCaTzrMhYl+lSSRuiGr00tfdoqhY57mfU2GRDfb99bbTKnnLwgh/3DbMXTuGyZlwcDDHwcEcUyo1ZtZ42NWbcZ4xTYaOvOvp7FovnbEc7VGdrz/eyaJGH+8/o4q5TWHnO0t7cB+rnaBoQSnilu9fUsVP1gzQGdd5/kiC5ZODo372WDFOUXAExYkGImFIjEmGYTgFY2INLHiyqGwXCaZer3dEnFfwOXdc1x0jPtlk0rFQGn8uddo9kcpvsS4QWpBIHig9zmPhtcgpx6Oz4/inRE9PT5Flsmma+P1+MpkM/3JvF71lrG4MCzZ3l188HxjMcWAwx72Ut6h5qdGfMviPy2r4yqMZWoey/HTdEJ9bJhUt0IXNuBB/hIDsDiq6Iaq1x4LbgvrqeTVFwjgUbKXdvYhFhp27ynWs78kaFn/e0s/l00PUh1THtrp04ikV9kTltbB5FqK8+Jyw0xPV+u5JRdj/hQJ+plRpHBx8afo5WyW/lOPGaQN2dMaZ3xhwxGKxMCp33txBpUAg4AjK4jqLCVx8NplMonp9fPvBTvqTOn4VUvlTUelT+PIFdZzeEiGZTPKFhzud77l6dpDH8tXZqnxswiIgSRKLGn0savTROpTl/v0pHtk7xK7eNLt607xlYYR3nVFTdD1N0yy6ViJbMyTrfP+aKdy1rY9fvdDPls4CGXv6UHSEMO7uJS/ImduJQBAdtxsBFHrLuCvJs9msQ6zc+Hz+HPk1iStnVfKBpYVpVFiCi2NyY7Q+5qLSvzQxoBzc1ePieESfm9GCaGP1lRRWRLquO4tlMXa4+9yLa+UmSSLTNRAIOOdOPP+jCd1CSBYBUUFW3ZZNpxLlAqJuonuicCehuI/PLZAdD16LZHMc43g1wzRNOjo6ip7zVCqF3+9nV8ewk8RYikTWIoFtX3huS4BLpgdZ1OBzqoEApyed4DDuhDcJ+MJ5tXzigU72D2T5xfoBPr6s3gkKuBe6gneJxBsxlouWKmI+/OSKRh7eZ1uH1wcVLplZSZ3PYmpdBVWqXen8h61DbOhIOwG96xfU0FRhB7JE1r7gGVfODHH7xiHu3xsjZcr8eevRMXtBAkyv9vCxc+tY2Bx2OI1osSK4mrDvG8rAXTu7ePZIkn39rl7qisQ5LX4umBJkcZNtP+9GUcWHpuHX7CClblp85cI6bv7LUZI5i79uGySeyvGhs6p506I6Lptdy+dWHuHgQJa2qM57/t7O+87M8PrZdkBHcGfTxVG74zlHjNR1nS3tUf5rdb8TjLpgSpBPnNeEYmT54ZpBnj5oryVCHol41uLwUI7r5oT52IoJpFJJeuI6H3mg07ETvWJGEFWW6E8Z9CUMOmK5YwrULxaaAqWF7KN9Z2NYpSsfHN3Q4eqhXFoln/897drwI3uHeeuCME8fttdsF04JjmnfJ9o8lbaUEhbjYN877cNZPr6yi5xpP0ffvrKFep/BZ1YeZX9/Bq8i8W8XNbJ8aoRoIsn/ruvnwX02D1tQ7+VzK2qpDWrOviiyRI0PJkyrdvYDCu2ocobFYAa6EwbtQyl6EiadsSw9SZPOaPaYz8TxIJ41WdOWYk1bKt/zXOVzy6uZ31BIGnW3YjoWhG2kx1NoBeZ27SqHYyUCimcAcILF7nNVGlgVa7aClbqd4Oyu9hFWpZ9eVsP7724H4KdrBvnsijoniah0HJQkyfn+lxpi3XIytpViv91WpSdqq/5atLwcxzhe7Ugmk/T1FRcsiPFYOGjoplVUCHK8Y4wobhGV6MKZTaB0O4LTucUv8bNo/eZ2YnQ77b13aQOXzazge0938YYF1ZzVpNEQCfCOOw/SFdf5n1Xd/PoFSBznsGZhtyF5/miS7b0FzrejN4MswWkNXg4M5ohmzBFJhgJz6zz855UtaIjkfdshszlS3s5ZkyW7eMmw6ErY5ymeNfn4yq6y759Z4+WSGRW0VCjc8lQ3yZzFZTNCXDItxF+2D/PbzUN4FInf3TCFjoTJvz3cfsqT53InQCke2BujO56j2iczkDb52hM9qPke8CcC0atbJG+WiuIAP13V64jc8xsCbHK14jw4kEY3TFoHi2NrOdNidp2P6+dW8J/P2IkL06ttEbMmUHAPau1LsPro6LFIN+fc2m1z0ZqAwtWzwjx1KOEkLftUiatmhZz3ijVXqSuD+5kpPJuyE0sSRViiKOvJPX2cNaWSYH5tJt7nft5EIhwU3B3Euk2s2dyOruJ1EbuEQttDkbjy3jPreNPcCv57bT/PHrE/d3gox+GhHBGfzDVzInQMZ/j4OdXcuTPBQ3uG2dOXwavAwgYvu3szbO2yHTovnR7jg0ur8KkF7iRE5OOJnYnWkh6Ph+sW1PHHrcP0JQ1ufWFgVGH8WDHm0vZg7iI6IZiLeJ84N+J8iuvjLpxLpVJOFXnpMQl3VzEeCjFd6A2n2tkSyovtIuZ7orFR4UJQGos90e28Fot4XntHPI5/emSzWfr7+0f8XVSivHdxJd95fuTrLxYSoMh25awqg6bIaLJNtjyKhFeT8cgSPk0i6FHRZIsKn4YiGVR4NYJeBY9kEvTIhDwyGzpS/HHrsEP6uhI6X/v/7J11uBzV/cY/I+t2XeMeIiQEJ0Bw15a2UGq0pU5LC9Vf3anQ0lLqSksFKO4QSJAIIRAlLtdd1m3m98fsmZ21m3uTG4rs+zw85K7Mjp7znq+871kT+OwD+1ixJ8isahuXzskmBjVNMyW8xeBn7STI7woQ52OkjnLrZ6f4dCYGbLQMZZntmpYQp8ysMSdqa8BUJOxEAqxY8u7Vnji3rO5n/6DREfWt0+vMwTzfBz4fQprZKvucP2mLSVIk7sTfVuman5/fiG5zEoqniKd0wjHj//dt6eOZfVHz2rpUcKqyUSmqgyYJAmNcH53s35AVsNTEtcjsU1orJPGff6SN75xZb0qql0pkCsIkAr7iPAHmRC+SmiKwkk6n+fkzbbzaG8drlzlxsofHdhhB2R+fW0+D1wj8hVMS2/qy1/ajx9Tw4LZ9AAQcykF1XEyqsHPd8W7ef1Q1924Z4IGtg5w5zVPg9Wz9t9frJRqN5nhGXjy3ggW1dm5e1c+2HuPcBGMpM+AmAmHiPhfd2KLIoFjyWJApca5F0lagmOzOOosUUzSpc/dmw1vdqUqcPTPAJ47PDRhaVQ5GInxjqT60Ssdbj6VYFedIlZ3iuUmlUmZ3OGRl18PhMHa73SSjIugskuFgXDdBgCEbmBYdNPn3sUi0WxPD1g7B8fYXLxUQtXYujYRiskPFAsZjDUiWE+NllPHGwsDAQNE5MBqNMqvey1nTPTy1O8zFR1Tw+I4hQglj3Jhf5+D0aV6WTnLjtpdO0ORbf1hR51G5YWkN33iqm4d3hDii1sFp07wF3QvCukN0KVirzQHTSw3gpnOb+exDbQzGNK5YUIVdT+ByOYlGdX6/biAnualKsHLPMFMCCnPqvbhtWQsbMKQrJWDPQJLfr80GeUsFLD9xbCXnzfLn7JtVEl7TNGKazFPbhnhy1zAbOqLmdmQJjmp0cdp0L6dOr4RUYYBCqCaJ6yU6oPwOIzEeTcsoskSNWzWDZI/sDNEVTvHFk2vxOhR+dfFE7trUzx/XGd3jv1vby2Pbh/j2GXVUEc2c7+wSuiuUIpHxRE9rOj9Y2UtfJE2FU+FzpzSyuE5BIoXN6eDLpzfzUut2ggmNRErnsrk+/rs1yH2vBukM7ePGk2po8Nk4c5rH7I5676JKAk7FnGO/8Gg7G7viXDEvwGnT/WztifKLF7LnXsZINB5Kp9JY1N07iwRHi0HsT5vl80NxQ0I9lDDm/5X7wrzcGcWhSLhsMk5VwmOTsSsSCU3HpUjMbfTjc8i45BhuVcfvzFWH6Qwm+fgD+0mkdSTge+dOpNatcuMjLXSFUlQ4Zb537iQmeXXah5N8/bF2dg8kkYB3zA9w1cIAHreRUAiHwyZfEGpVIllgLWi0KRKTqpw0+pIsqFVzONBANM2L7VFe6UqysSNEX54vpgRMCqhMqnTis0EoqbGtN0F3KFWyy1/H8PJU5UL+MdJ4UgzFxrZ8z0gBa+GtFVZfbcAsPBWF6alUyuTo1uCy4J9ul/E8pTXdTLq4XK4cqcsGr2rKqT+fCY6LYmABYaUkfv+1SIxDrgfvSCjGK4sFhUcjhSzwVgxgllHGGx2dnYVJV8GFvrC0hrQOUyrsKHJhs8iBIHjggRoaRHIvlUqZc5uYO0TziXXdKywyxNgUjUZRdZ2pfpk/v3MGYIzJiUSCn180kXf/aw8prTAp7lQgoZHTfV3tUjiyycOu3gj7hlL0hNP0hLPHrUqGusz6zizv04FJARuLGx1EkjpP7wmT1GBrT4J3/mM3Vy+q4uzpbtxkx8mL5vhZ2xqmK5Q251drt7L1N8FQsZlU4WB1S4iUBhfP9vHpU5rNQv93Lojzp5cGuP3lQU6e7OGSuX6DU4ZS3PFKH/uHUgzF0qaCjt8hj0uh3FiQSMPzLbkxmbEmxcHwr3YoufYxVy3wMxhL89AOo7jxsZ3ZJrKKPEecWErnI/e10jaUe0NUOGV+eclkBoaz9+vkgKFGmrbwja19SbrDpZ+FfH/t9y4KcPkRAVRZYiCaNjm/1y7nJH6FSqcVVsUbyC1Y83g8pqqiiEW+sLuf767oYcLLg9xy8WQzySZ4u5UjJZNJ83tC4VPwmPzYmdU+Bwpl2U0bRLvMF06u5eI5MX72Qh9tmcLcoZjGA68Oocpw+8YQl82r5JwZHm5b3cu23gQbu+I0+GzUeWxs6IywdyCBXSnklWOxeLGOEdcdX83XnupmKKbx0M4oF8x053AgUcRYDILHiffFOKjruhnHFM1Notte2POINXA8HiccDps5Ao/HY66Xi3EvwTnF98XvOhwOk1+OhuuNBaW2VUxRrhhGI5M+1sLNt2Ksssyky3jTwWazUVtbS3d3oVROIpHguEkePg9MrPbQHUxw83NdBBwKNW4Fr13BZZNw2SQ8dgWnKuFQJVyqnPm3TIXHiZRO4My8Jl7P71axJo8gO9BapeTEJCves06085oCPLk7QlfI+Mz23jjHNtr58JIqblvbzx/X9TOnzsPCBqcpkSlk2MRgZh3siwUHxPujqQKTJIkzp3n40/pB87XfvzTEstl1psydx+MhHA4XTOoi+SVJEpqmMRgM87eXB7n31WE03ehc7gqluenZXr5wcq2ZWLPb7eYkVAri2PMJjBVCYkUQeuvnJElCSsWp82QqzAJGldi8Rg9r/rqdCQE73zithoAzd7gcjXyymHCdTiehSIxfr+3jkR2FncFJDb76ZDdfXVbL4kZXkS1l99UKcZ5FB7wgLFaP88f3xHh0RxBZgs+fXJtTuSmS4pIk8fPnslJKlc6MT3vm71m1ThRFMRdJmqaZFXoHCsClUikqnHaunO/j6sXVqLI0IrGydgMJvxdN05jZ4OdH59j51epeLj2iggk+xewst6oSWD3WxUIPsv6L1i5pkVDOJ5miszy/2u6kGVX8KuDmRyva2TuQNM9PLKVz39ZB7ts6iFOVuHJ+gHcuqi56P4qFmSAo+f6pB4N0Om0WlCSTSUsHTvGEbT4RtEo3iYpYyBa6iMIDIfsk/CNF8YAgmKJwoxis9gdWzySxEBBBQHHtxqMic6SEtaimF8oaomMRshW4xeTr8+/dg+nUKQcxyyjjjQWfz0cwGCyq7KGqKp84rprrTqzHaVc5rsnB2o4E581w0eAd3cIy37cuH0uaXLxrQYA7Ng5x65p+plXZmVolm4EKUUWfP15Zgz2iCApgkRumVfaweyDBA5t7eNeiWnN8rvTYqXLFTWn4lA6/Xm0kXSW6aParTKu04bbJbO1Nmj7N5rFkgn9iJhAJ8hq3TG9E43frBplUYTcLAQWiiRTP7Y+yYl+ENS3hnEDlEbUOlk31cNIkNwGnca4cCqgOjzkmC885q+qJdX71ORS6QinCKWO8Fpz9yvl+7t4aZH1HjBsf7eTrp9Uxrd7N5fMqOXduLdfft5v9Qyn2DSWN7vEllVw8x0/aEmRIakbys9qtosgSPrtMXyTNcDzNij1BmnyVTK/1kEwmCYajRDOtPgkNnt0f4RPHVvG7dQOsaY3yxce7+NqyWi6Y5SOS1JhcYcfvyPox98UkNnbFkYDzZ3kJOHU+/UA2Ka4A9149mZSm84OVPaxqyfKLOo9SMqjod8h89JgqQvE0cV0lFE9y79Yh0wu0FCSMgoVDScKLpDiQ4/9eEnlyrNZ9kaTcYLtTlfj+8jaCccMj3CZDhVOlN5yiY1jjxyv3E03qBJyKIZ0+rZJkMpnDCcW6yirVLXiS6OhwOBwmN+qPJHl+5yAvt4fZ0BkrKhU7rcrOwnonSyb6WNjkwSFppnqEpmkkEgmGYmke3xXmkR3BnIBvvVsByeCec+pcOdwcCi2ADgbFPCOhdAAvX5pXFLgKfi7WTCL5IrraRUFvIpb1jBVJcU3TTC4ouOWsajuv9iZIpLO8UciRW9WhBN8X67/xklMvtX7J7/ISaw3RaWktMsjfn3zenB+gPxDeigHMMsp4o6O2trZAiQiM+WZek9+wZnNl43lj6fjTNG1UyRtd13PiWWI9a7WfFHMdYNrFgcFbhbqedXviNxO6QqVTMVU6vXaJLyyt4atP9ZDfPO22GYo4T+3KndutUtwpHVJ5qjXTK21cPi/AwnonlS6Fa4+u4kfP9rCmLUYspfP7F/v454YBLplXyRnTfeztHcZjV6h2q/SE0hwotSVLsLDRzap9RlL8mAkePnVyc47E9BVH1vLAtiA94RT3vzrMpXP9XLkgwM9e6OPOzUHTlui4SV6e3xcintLMAq/XM7x2GZcqmddPcPl43kl7pSvOhbN9ZmIcMI8vUeQg24aSOFUJWTJUiByKxGBM45W2YI4S08SA3Ywbi3XF6hG6xa2YVmVnd3+C4biO153hG1K/+X5vJE3bcJJmf3butKrMiHjxSJ7aIlFqs9loHYhw07O9aDrMqXOiaAk8mUYfyPIowQ9EfFNsSyTHxbNl5TO6rpvdzvn7I+TWrVjQ6OXXl3r5z8YB/vFKP6mMalJKgyd2DvPEzmHm1jp427xKoskUf14/SGcwSWcwydwaO5fP86NmLFKtY9PBqjoe1eRicsDGvqEkf1jbw4WzpuTY8Vi7va0o9rqV3wk+LpRAxfv5ftxiLSiKD0SDmfWYNnXFsCsSs2ocOb9nLfAURRDC/z2/yetQUIpXWhuNxLGJGKo4B1Z+nV9wYMVYbR/firyyHJ0t400HSZKoq6vD6/WyZ8+enEEilUrhdTk4ZarhnT23zsVJkz1jrqJxuysPOBgKTx6rVLHYP8j6XosuBCgkvu+c7+OWVcZEvrkziu2oKs6f5WV7f5IndwX57vJ2brtsCtUuhynnK3xL8gOt8Xi8ZOXRaCe7s2dV8JeXB00y1xFMjZg0gqykiZC23z6Q5scrOmnPdIycNtXD3oE4ewaTtAeTTKoM8eHjGwiFQqZMszVAlV+xZrfbTYkXUSlWbODP93CCbOBHXAexiHA4HDjtNv555VQUvThtHk2lmCgI2NszzPdX9LCjL2EE7sh64whZo0Ra55vLu/niybUcP9FddHulJk5xra2LoEgkwu6gxK0vGAUiHzq2jqManaxtyRJXr9dLLBbj5f0DPN+SPT+3Xj6VbV3ZBMCZU10FiUoR5LFW1JWC6N5KJxM4M8UTpSDOmaIo5rU1JXQcDm5cNsFMapeSH0+lUgXXRxACETgXQbyRfMVFRaKu62ZV55x6N79/+3QAdvVG+eGKTnb3xXOS5Gs7orznWHuOn5cIWlqTE8C4EitBnKxBtfyFsRgDrIU7QlEBMI9VQMghpVKpHKkp8RyKjnyHwxiDxLUVv/mHdQNs6opx9ZJaltSr5n6KfRGFLyJRDePX4TNSwlosZsR1KZWIL5ZsEudQBMLHQjSFUkEZZZTxxoHdbmfy5Ml0d3fT09OT814ymTSUghQjgLOgwcWxU6vGNK6LwqaRfHvfc1QNr/bGWd8R4/srevjpeY3UBLw58nqis1KMa0JJxrqvApcvqObHKzp4aHuIS+f6cWe86647sY7PLG3g7bfvYCCaRgKOneBi10CS3nCqqCekFSJBqsoGv9vaHaM1mOZ9iypZsS/C2rYo33q6hx+eVc/EgI0tfWmW7w7x7N4gEYs25JQKG6dO8XDKFA/13uxyVcxxQgJPzO1WVRMBEUBwuVxUuFQgznAsDcg4MonxqVUObjrHwzeXd7N/KMnnHungO2crTPFLVLod/OVds/jLmnb++vIgaR1+++IAT+wKMTsTQBG+20MplcZMwuvjx1Zx59YQa1rCPL5jiCd2DHHKNB9XL65lT2+ElG4kqW2yRFswxf3bgnzzzCZ+8HQHu/oTfO4RI0H/uZNqC87vE7uMbpxFjU5qPSofuLs1R1JzVm0mYStLfGFpLd9+ppuXMgoAxZLiXptEKKkzHNdoGUrw7iMrzeDPYzuCxFLZ7zhUOHGyn+WW4LVNkTh7hpcHtgVzrHpkcj0gJ1XY2D+YzAkIH9vkYE17du61+tsfDAzlptzXoimdqCW5n9Rg72CCm59tZyDTuT2/3slXz5xAjVstGggVnDMn6J+Rzk8mk8R0hdV7gqxvC7G+LSvXKSAB06odzK+1s2Sin0VNHjx22Qxs2e0KRkkDZsLYKKCL8PZ5fi6b62PLgM59mwdYtT9EVyZQXe1WuH19P2fP8DC5rqKgq2Y8IFR+rAV9+ZxHdISLIK1Iloj9yE+uiDWLULEwAtHG86TrxvZEAFQ830Kt6ENLKrnh0S4kYF9/nEavZO5PsWClkgnwjhdGWi+LggmhdlYqtpBKpXLW49brZfUXHS3eigHMMsp4o8Pn8zFjxgz27t1bMO8UG7PGkpgSY66maSN+T4yX1sSd1U8Xsmtyqz2Pdc0sxjHRpOF0Onlu9wA3PdtLOKGZXtihhM7je7LH6bHJTK1ysKkrSqyETYvVn7rBo9AcsNMfSbEnU0C3ayDJj541CgMnBmwsrHdwxnQ/i5u9/GaN8XooofH39X38fX2hWqjfITO3xk5vVGNXf0ZlKMNDwOAqD75q+JbLEsQTKX77Qge6JBFO6gzHegknDGUagD+tH8xpIDLVInV4fp8Rs8pPLB8O5PMvK5p9CoossX+o+PwkS3DFvACXHeHnmv+2mq9br9DMKju1XoXn90fZ3B0nnMg9KMHxtvYUxlamVNj5wVl1fOvpHrb0xJld62RDZ5Rn9oSZUZMpupCytkVerxdVlkindbb0lF4jAdS4DW/7Y5ud7O5P8PSeEB9YbDSjrW3LXZM9szfMVQsrzL/FfSyemZFyA8J60GazEYrE+M7yLobjGtOr7Hz82Go8HpepNlRK/VR4YFvXLKaNVib5Kstyybi2tdPaauMoyzJ24P3H1HPajAp+9HQbWzLXwe+QCSc0tvbEqd4T5DvnT+W0mVX87aVe7t40wNbeBD9c2culvQneOT9AwOM0cxkjrU8PhBuX1vDJBzuIp3V+vaaXa4+uMuOHULxBTzS9iXMgFGnF2GRVLgPMRidrQ5QojrQqeFpjg8OhCHdsCvKfjQM0+FR+fckk8zjFuXW5XGY8V7wneOt44EBd4dZcUqkCT1FMap1HrDFVEU8fS3L8rdjE89Y74jLeMnC73dTV1dHV1WW+5vF4zGCGGGgOxperlG+3gLXKSZBT0YEqSVKOJ7Z1Msgnr6dP8/LPjcN0h1Ns7YkSiyfwuF187lQXewb2srs/zjcfb+UnF0wiHg+bHa5CAs8aaBVySMUgJMmLBRNERZau6/hIs6TJxdq2jCdw3nasST+RNBOJslhK4y/rB3lgm1E9WeVS+ORxVRw7wc36tghfXW4Em//+ch8Nbp0L5tebE4/oIhXBEevgL86ZkG4S3Z/FBn5RNWZNhIlr4fF4zNfEttx2O/ESDFYQmZHkS1wuF8/u7OPHz/UyHNfw2WU+c3wF316RrVo8boKbx3aFSOsGEf/eih4+d2INp04t9GERXtz5E6PwHLfZbOa91j4Q4WuPdpDW4eTJbt65sMogehamHAqFQJL47YsD5msS4JdT/HVL9rWjm0sHaEbThSECZsKDeiSISj6RTC4WHBIy6aWQHxS0JnHF/TyajuRigS3r8TZ54OfnNQCGb9LNL/SzbzDJ55fWj5gUEUUxVqmh8UJ+RanwohcVqeJ4xDgoqlAh26UikuFi38QzLK6h+Nvr9eZ061vHF/E7nWGNHf0JBqMpVNVZcD5Fd74YBwWBfS0wWnKYTyYVRcmpSB1LsKIcwCyjjDcmRNFlKBQyn33BH5LJZI7SycFAJJNKzQlOh50bTqrhuoc6aB1OceuaAb50qt0MHokiLiGLKaxEisHtdrNsmp3bVsl0hlKs70ywdJrbPAZJtRHMtPToGJ6ODX4HD20bIjnK1uAat8pwAlqDRnJ9Tq2D02dXc8P9e9naayR/HaqUIylZ51E4dYqHU6d4mFJpJNJEB60Yg/PtLMR8mm+HAllPwEgkgjuz4h2OpXA4vDjtRkAlkdaZXefmZ+c38fWnOtkzkOSzD7bwuZOqOWmSca6uXlLPsikevvJkF23DKXYPJNkzYMwHbptMJJmmM5Rimt+YH5ZMruTYaTVs64ny5zWdvNAS4ZndQZ7ZHaTGbfzuCRPdXDLHz42PdbJ/KMlf1/fxvbPq+f6KHlqHU3z+0U6+eEotS5qyhW468NgOI0h75jQvX3+qy+zmETgt49E9nJS5/9UhthcJTApMrlD5+cVT+dwD+9jVn+CfG4dZOtlDg1fl35uHGchr65pV5eCZ3bkdXYm0bnqPRy3Te35Q1pahB9YVlzUpDlnPTFU2gtxTKuxMqbAxpdLOtt44/9gwRJVL4beXNFHl95LSNMIJ6BwYpmXICJCLbZw40clQTGdz5vgrnDKxlEamMdlMil+5qJr3LqrEYbeNyNusvDIYT7O5J8mWXiMZvmeg8JmdUmFjQb2ThQ1O5tc5qPI6s5wjHceaB7HyIquSmIAiSxw30cOCapmuUICHtw/z4PYQfZE0d2waZvdAkq+f4czxohxPCPsmAVVVcziQ1RLB4/GY/FYk+MUaUkCoHAm7nkQiQTKRWatmki7iWRbFB5BZH6Sz9lR9cZ1Gr5SzXSufFb6648mzD1R0MJrf0jQtJ+gotmldh49lHnkrBjDLKOPNAEVRaG5uZteuXeYz7/V6zeIZK8bKLYUK20jxDjH3CD9ba6OF6A7XdT3HWqPYfoiC+XAkwn82DXP7K4PowNw6J189rYHPPNBCdzjNij3ZhganTWJTlzF3lEriOlWJeo/CvqEU587yceWiGpLJJH9YN8B/tw4ztcKGosjs7IvTMpSkZShpWtCMhFqPwsxqBwGnSiip40rGzQR+qsTOaDps6I6zoXv8PYYPBQ0+ld5gCmt0ZSTB655wmsQIH/jaslqObnYTS2kmt8vHkmYnVx9Zyf890cXLnTH2Dhq/nm+h1B8t/KGOYBK/x0Wdz86WnjgTfAobOuGZPUGUDE90qJJZiBgKhVBlo6BgtEUF0ysd+B2y0YneGSNOivZgOqcwc/meMFcuCOTYgVqL8kYTrwyFQty6dogdfXF8DpmvnFqLIyPRLuLNpZKexVQWZVk21zPWeFsxWHMNpThfrQN+cHY9j+wI8ef1AwzHje77eXUOLpztM9ZU6QTvO9LP6VNc/O7Ffl7qiHHn5mEW1Ds5OeBFkqRRS3qXwpRKOwvqHWzsivPgtiBXL6wAchPtTqfTLKy0HpOiKGYHP2RjlSLmKM6R4KFCkSgcDpvrQ7Fda2J872CCnzzXa67lFtQ7SWsaHndukbpopLFKr1vVeQ8VItdSCqIx60CwWlMKiDyXOJ5SVkjF8FaMV5aZdBlvatTU1JjywLFYjHA4bE52YvI72Mr6SCRS1KdWTKhWCKkiMbhZvR6tENX21g7yqxYacjwpDfYMaRzpU9BiYb50cjWfebiTrT1xfr2qi0+f3JTT9SwGUeHllt85lI/8/bF231gH5LOme83EOEB/KEGV1whgimMUgUtBql/Y3cctq/rpykgBnj3DyydObMSlGkRkcbObjx9dwa9eHATgJ8/30+BVmFvnNoNDYhIS1WMiIC1IhOjcdDgchGIxHBbpbFOKR1HMBKFIlgp5+/zqQFERW6qLy+Vy5XRN5weOnC4Xf1jVzj82DKEDM6rsfOmUWn61qjdnO40VTt4+T+Ffm4ZwKBLxtM6Pn+slltI4Z6Yv57OCLORPfKKKTCQqw7EE313Ry2BMY1qVg0+fUG3KFybzZI1W7I/zam+W5Avvz41d2deUIh6G4hyMRgZc+MGLCkhRxVfsu0IWx9rRK6rdhGTlgeT1IXvfi+T2WCodD4b8zZ9QxS8uyAYyD3RuhFLEePtq50P4mwspfOuxCeII2U5mUWQhkjTWYxBFNwJC1UGMN1bpTLvdboxzmc9q6ZQp6yu2ae0Wt3a5j1e308EmqIrBmhi3dsZDaSWHYigHMMso440LSZKYMGECra2tOdXjIoAhxtCDgaZp5ryXv3B1OBxEo1ECToUvnlzLFx/r5Jk9IRY0erj0iIoCGWMBsZAXwQAxVonizrNnePnvlmEe3hFiSWOmA9rtZt3+QVJ6Nsj123WDOdu1yZnuGctQLbpshORhZyhlyj/rwIfvbcdjl0llElvxtE48reOzy5wyxc2pUzzMqXUgF+HPQl1E8K1iwd50Om0WOFrnOaFY48t4vPeFDE9ieyYCp8sqdrudSbVOfnGJi+881c6q/SG+v6KXDy7ReMdCGzabjcYKF3982xT+vr6P218ZMINrQ5nkccdQHJqM/YzH47hcLqZVqHzl1Fr2Dib4z6YhVuyN0JtJZG/qinH8RDffPK2WLz7ezdbuGH9+eZgfndvED1b08EpnlG8u7+ajx1Rx/iyDC27tS9MVSuGxSbQOJ0wveJcqmV3R06rs/GzVAMt3DZkB3nqPEezuyusY7w2nGQ5F+P7ZDbz7Py0k0zo3PtqJS9Hps1AmEUzc1htH0zG5qsDKvbmBaOv+COzqN+7p/LoKIZUqS3D9CdUc0ein2pHO8c4OJzR+8pzBna9aGMCpWjxPFQW/08bPHukyk+KfO7GabX0Jnm8xuuvPnOHj+b1BMykORqf8F5c1cuLUAFA6sAgQiqfZ3B1nS1+a9e1h9vTHCwqDJwVEItzB/DqnKfkPmIpeY4GwqRHfC0UiPLJtmEd3htgzmMyRYR2Ipc3A32vBMayWOvnc2qouJPikKJq2yqmLYxSJFvHc63pWTUjY9whIkpTjT98xEGZJU40pQ2q32831t+jGguz2xuvYxwPWQqhi1k1jwVsxgFlGGW8WOJ1O6urqCAaDJJNJQqFQjh2EVVJ5rBgpjpUfSxKJOsEVSxVZiWJ2q/KHSLj8fPUgT+40iucumB3gQ0cF2N4XJVVEUrsvUjgm13lUlk5241QlHt1pFH/ty3Q2b+mOsWb/MKGERvuwEQ/rjaaxyWOXJjf8y8e3gGyskDAKK8MZ4nLyFB/NfhWXXeGRLX10REZ3QJ3BFDVuhaFYOkc9yAq7DFUelc5gasSk+JImp9kMs3Jv6aTsIzvDvHtxLd86vZaP3NdOR8i4lqpMyX0QiKd17t86SCAjIuO0SVQ4FQZjabZkCiU8diNeG01qPLU7XMAnSyGdeUZU2WgKenB7iOV7w+zsM+6X2dV2tvYmkCVD9XR7X8JUf4JsclUU9Ilnp1Sc59GdIR7ZPoQswVdOa2RKrRFDtVq5HAhut9uM4+bHkkeCWNscCLIkcf4sH8dOcPG7dYM8ty/M5u44v1jVx+ccDmZVGDxpYsDGN0+vY01rlJc6oixpylryHEwTYT5uPKmG993dRlqHn6/q5Uun1OW8X8q+J79AQDS5iQLK/M+LeLf1byFNrygKyVSKh3fF+N2ablKa0UV//Ul1HNPkAHRz3SxsfsQYfCD1jYPFeKpIWu8Hkb/JVwEdLd6KvLIcoS3jTQ1JkvD7/bS1tZmvWQe1Q62qLyZ/mS/9DYU+wqIj0/q6VRIFoC+S4pmWBA9uMbpDatxG8Ed0vk51OvnK6QpffqSF+14d5qhGJ0unV5rJYiEzPdpgQP6kLyqP8ifoY5pdOCWIZU7jj5/v53tnN5jvW489rknc8nQrD203glO1HoVPHVfN0hnVxGIxEgnNrFA9f06AluEU92cqPW98rIc/X97EpMw+iMAwGElH8TvWAKkkSVz2120MxzT+clkzNT67GaAUSXpx3gEzKSeuYzGUmrCSyWROpa2o8AOjm+RbT+9nTatxPc+d4eXaY6qwKxLrO3NJktuu8PYFVTyzN0xnKMWUCht7B5P8YnU/sZTOJXP9Bb+dr1gg5GRCoRC6rnPr6j6jetEu85VTanDbVbNq0XqVI0md367uytn2jadNIBLJBm9tI8zXY03qWosPRKGDkOcRhEV4VkG2Sk8EvcbS9XEo3t2jJZtWiKSxVWbnQLDZbOPipT0aiO57a1BPeCSJcx+NRs2ioVKKGPnyaiIZLv4tjkc8N1rm8zLZbnbRlWj1eLeOU+MVeBxPAiuS/YIYC3ksIac12t8SUnVjkckso4wyXj8QAUGrlYd4/gVPGWsSTECMJ1YLjHw7nrm1Dq5ZUsnvXhzg16u6mOKTmFPryCl+sioG5Y/jHo/HVBG5cHaA/24ZZvX+EP3xGporDB60oSPTtZi3fx6bRCKt5wS+atwKH1hcyTHNLt57dyuxlM7/nVKLy6Fw6ws9tIeyXRrhIhG5aEqjJ5xmY1ecaEpnepWdCktS0Sofp6qqWVxqLYhMpVK4XC4zeGKdi0XBqC/j0x1MGElEe0ZKPRxLmByOVJwvLa3iz6/Y+O/mAf6wrp/2YIrPnNxoFh+875h6lk11c92D7YQS2XOxen+Q9ywxpM8jkQixWMy8hlMq7Ny4tJbjJoS5KSP7uWsgyZce7+KIWgfvWhDgb68MsrY1zK/X6HxtWQ23rennid1hfrWmn/Zgkg8sruSxHUbA+YhaB3dsNP6tSDDBJ7NjII1NhhsezXK6eXUOLpnjp97v5JtPthec+3BS59drB/jyqbVcu6SSW9f0E0nqRPJuX5dqyIYmNKhyyQVdQPmB0JGCmKLYYn6dna+cWscNj3TQFkyj6eB12qh3aeT2lcPdW4YZjmtM8KucNd2b815fOM6197abnU2fXVrPC/tDPL/fuBeWTfPy1M5gDvedX+/iS8vqCdj0ojwnnNDY3B1jQ1eMjV1xdvcnCp6FiQEbC+odLKx3Mr/emXPP5kMkhscyLmiaRkqDe7cO88TOEPuHkgX7UONWOH6imyvmFa4TXgvEYrGiKhdCuUoUI4Px7Nrt9oJzILplRLxOJytlKgpphZR9PB6nbTj7/b5o2kzKiG0JXmldU49X4HG8i1nF8YnjHUmJbiT09/fj9/vHVTK+jDLKeO1QVVWVo3Ap+J6wSLP64o4VogHEGhMpNtaIcdIalxAFTVZZ4fzYis3SiLKo3saK3RKfOqmes2f4+NeGAf60LrchJB+VTpmkphNK6AzH07zcESWc1InmEYs1bTHWtOXGV4PxA4/H+V3MxeBQJBwqDMfHL27gUqHZZ2PPYJK0DmdM89A6lGRbJkl7/Um1nDu7gg/etZeWoSSnTfNybJORLX5ub5COyOjjQ71FigysSGhGAv1AuPrICgBeao9y25qsuqXPLhPM8HcJGIymeW5/hEleGIhlr0FSy5WiL4W/vNTLpXOMgs+BmMbJk93cvy1Ie9C4x712mT+sG+CxnUHCJbrW7YqxHrHCOj0vm+rlwe0hnt0XIZnW8dgkLprjZ+uzvTgUo3jz6T3hnMS4gDW+K5QXhQINGM/PS/sG+PVa4xxdc3Qtx07yjymxDVnrxoPBWMeDGrfKl06u4cVZFdzybCdtwRSffWA/58708f7FFXjtRhPdcRPdHJdn6Tkecbkqt8rJk92s2Bfh+f1ResMpajyFqch8PilUR0VxtHhfKBKVkpkXsNrTdAzF+OHTXWzINH8dN9HDJ4+tpKnKW9AIZB0j89V+YfxijONRdCAg1sKi4FQUpx6MDH5PTw91dXXjun+vd5QT42W86VGq4mW8FrdC+lckXotNcPm/ZZVQNv2TXS6CoTAvtUd5ZGeItW3RnOrHoVgan4Oczu+FNTJXHVlJUoNjJnpNCWrrdkeLYgvqfA/paDSKTYGzZ/u471Uj2b3V0m0s/NUkSeKljhg/fmYvPWFjMj1/lpdrj6vHbTO8QsQ5EQFfl8vFZ06dQFd0P2tajP3+wN3tPPIBt0nKRRewdWKy7vdV/97PUIYkf3NFL7++dLLZgSx+S5z3/I6jYvfDSOcwv/tWFBJsaBng+yt66AqnsSsSHz+2iosX1BGJRBiKJM3gnMsmEU3q2GUj+fyxY6v4+lPd7BtMcsY0D0/uDvO7dQPEUjrvmO8vmJii0WhOoE0c4/3bgjy5O5ypXmyg3quanQipVCqnY/zfW0IMxjQmBmxUuxTSuiFJ43a7TbJZKtg32m7xkZBMJk3PFyHTZSVEpbrgDoRS3eijxcESQEHSRIf6gYJo/wuvaXEfiQIR0c2Tn+AulbgVz5tVCl4ch9PpJBqNmvLsBpE1jt/hsJvJClGFKxYZokBCJIOsah5C6SHf02w0GE+fTdG9BFmSPho7hXxomsbevXuZPXt2OYhZRhlvUJTileOxgLR6Q4pt5s9JF8/2sb0/xTO7g/xwZQ8/O7+RgBMzGSXsKPJ5jtXeBmBKjYejm9282Bbhro19vPvIAE/viXD3lly5bDCKm6wBqgl+lWuPruIoi9T3sqkeHtkR4p+bhnCoEu2ZLhJNN74/q8ZOk99BSodtPVG6QilSGqxpi7LGokRU41aYUWVnepWdGdUOFjQHqHQpOYpKYo4Xlf3WayKKvqxFkGZiPG5U0IuiPw1DdUh81m5T+eSJ9dS64PfrBnh4+zCdwQRfP7MZX2Zuaq5wcfERVfzj5axn5ZaeOGf9bitvn+fnqgV+c9+sHGZ3RnL7uAkuatwKj+0MsaUnzpaeOE0+lc5Qimf2RvA7FK47voomv42/vjzIPVuDtA2neLnDOOYX27NBjkvn+rhri8HHk5mO/ZOneLlkjpeZ1Q4e3RHkRw+1ktR0mnwqTlVi90A2kPR8S4SbVvawurWQM4lubutaxGsvTIyPBkJJQGzqtKleukIp2izylo/uDGW6NrIYiKa5Z6txP753UWWOgtFQLMVH7+swk+IfXlLBg68OsK03gU2G2bVOnt6d283+riOredc8D6psKZJOamzujrOxK8bGzhi7BhIF3WcTAnbm19mNrvB6J5Wusc3fo02MRxIa97w6zNN7wnQEUwUB/XqPwslTPFw+14ffWRjGOdwqRPmwqqQJuzDBI62KXKUKkIVNgj2Vva6aTkHCXUhpdoazxzeUkEzvcqFyJtbIohBa8HHBS4VEqUjIjyW4LKRRxwvWdYrowhQYy1wSjUZpb29n4sSJ47ZvZZRRxmsHUdRTbN16IKnd0cAqs1tKnSKZTBYojohEnxiPi+2nNeZy2lQvR0+uRELnxof256gPloI1sRpL6Tn85ECwybCo0UWj347fqaDpErFEikgyRTiu0RdNMxjT6I+kiI0QEjAUjA78ew5VIq1lbQkrnTLVbpWucKogSR9NQV/M8J3e3pdgbVuUL55cw5ef6Abglhd6iKZ0Fje6aRkaYs3+ICdOqufv6/vY3pt73mZW2XGosKl7/GxBFAzJdSvH+OvLA3hsCs/uz70/ggkNj03Cqcr0RY0TdduqblMxyYqUBh67RDhRGBdRgDRGY44oEBiM6Vww08P924KEMt/ZM5AwLWqa/Da6hpPk/5I1KS6KH6x58jk1dhp9Kh2ZgoCL5/hZ0uRClrLFmyv2hvngksochaJ8COVFMHicoii09QX5/soeUhqcMNHF5XO9BxWvPBQ+IZ7XsY4NJ050s/iKadz2QgeP7AjxyI4gq1sifOSYSk6a5C7gHsXWoAeL606o5vn9EVI63PRsLzed01DwGSunVBTF5HiiOFJY+Yj8QbFzKF4TxeoOh4Mndgzy8+e6CCc0HIrER4+r4eJ51Tm/J2KfoiDJOmYKHmlVMPN4PGbzlhgbx9vKaKwQY7FQdcpXwx0tenp6cDqdBAKBcd/H1yvKifEy3hIQC3Nrxcx4VcCIhfbBVnqLgTYSifCZhztzvOrm1Tk4Z4aXZr9KZyhNlceRUz0K8L6jqg2PEKmwG150Sh/sxCsG+lgsZkqJAJw53WsmxvM7RfpDMf64fpDHdhjvN3hVbji1kaOavebkapVBgazfHMA3T2/g2v/up2XYCAhd8OedPPC+6UC2ikx0tIr9cbvdvO1v282kuMcm8ZvLppiS7kJeU8h5C886K6EQcs7xeBxJknICy8JDNF+GOh/3b+7jly90k9Sg3qvylVNqmVZl+Fs6HA6+/lC2Y2dKhY2tPQkU3Ui4nTyjmmV7ozy9O8j+wQRXLQjwj41D/O2VQaIpjfctqsi5Z0V1rjWos6Ezxu/XGd7g1xxVybGTA0QikRzZ7rSW3cZ/NxmVjh8/oZ6jGrM+fslktjNlZrW92K0x7sG3YtVsB5vYFMGwg8VofLmK/aa4zsIbbLyI5HjB6meU79Nq7bAbyWJCfEcQTUEQhV2D3W43Ey8Oh4N0JrqcTCbMpHg0GjWJrUjkWAOEQkFAQDyrYy3GGM/EeDGIfRzrXFJZWXlY5JjKKKOM1waiKzGfF4zXcy3mIJvNltOZLiBJEjec0sjOnihtwRQ/fq6Xb5xWhyJLZrGRqBIXqiCJRKJgTorFYlwwy8uLbREe2Bbk3gyvE7B2B4sZf06tk48fXcG06sIui/Nn+nhsZ4id/Vkeq0pw7TGVLJ3swe/IWnbE43G2D+p88aH9JDQjGe5QJdqHU/RG0vRGoqwyk7XdVLkUZtU4mVqhMrvOxRENXmo8NpPTSZKUk3y0zt9utxt/Rko9nMzwJ8m4VpFE0izossrOv3NxPVNqvHzriVbWd8S47r79fP20OibXGP6fCD48w8dTu4JouhGU+9emYf61aZiJfpVPHF/DkY1GoEWWZbPbadk0H+fOreGdC4a5e8sQD28P0W7p5rl/WxC/Q+bKhRVMqnLzw6fbcyyMxF1mUzCT4gDnzfbzziN81HhUJNXGr1b18OCrhurU8RNdfPaEGnTg/57oZEd/ljuu2GfM6/VuiS6LfGemri2nA3z/0Mi85oJZ3qIen/kS6idN9vCvjca+LW5wsq4jxpqWEL3hQE4XyR0bB4mndWbX2DlhYrYII5TQ+Oh9HYQyXUzvPjLAA9tDdARTeO0yDkViU1eWV3pU+NzSWpbNqqFvKMQrnTEjEd4VY0dfYSK80aeaSfD59Q6aKz2HpPCTTCZLFksOxVLcvSXIyn1huvPk7iWgOWDj1MlurjyqAVJj7/w4nLCeEyFfLrq9RVBSdNoU4/mapmG327HbszxKtdmQZcnkpW632+SV+wezY0vXcNyUj7fydsEpreOxVcFBQHhRjva6jsWf8WBwKOsqv/9/oxpQRhlljA8EV8tf545XLEF0QY40zpRazyYSCTwej6mUJlSHbDZbwf7u6o1x0zPtpp9x/tw/nkhqGNyo7dAaNUaCXYGfnNPAxAo7qmwkxu99NcjfXxlkIKYRTia5eG6Ax3YYyjZWWfeBaJqBTCJ5OK7xk+d7CTgUhuJpUhrctrrXLNp8qSPK07uMuJ8VsgQfPbaS760wOu/dNploUjtgF7xAqY75YhGS9R2Fc6H4/nsWVdAR1rl3i7F/IikuARUumYGohkMxLJaKJcXzf/PlDoMP9ISStAwlCjrNj2py8faF1fQMx7j5+VzVAZlcH3WXCpFUVqUQjHt5WqWdjmAKWYJL5vjw2GWmV9nZ0ZfApUoMxTVe7ohxdLOLA0FYscbiCX64soe+SJoJfpXrT6g5KKVJaxz8YHGw8U5FS3D90gaWTQly65p+WoaS/GBlL8dNcPGxY6pyOPh4xqucqsxFc3z8d2uQLT1xdvfFC9aS1ti2aJASvNLhcJh2PPnKQFbEYjFzXRhO6tz0bDvP7DHWJXPrXFx/QiVTqj1mfFzEGK3bEpzR2sBoLSzPt5sV10GMja91kWox5NsRjWWfnE5nTrHmWwHlxHgZb3qIxCBgVoxHIpFx7dbUNM3cZrFBZ6TJUgyquq6zoN5BXyTF2bMCnD+7ggZ3dhA7coLT7LT2eDxmZ6/4TYfDkSP5IeTGi/lv5GOkjkch3W6tGJtWaUeVIF8tcXVrhFtX99MfTSMBF8/1854js36AoktUdIwW2690Os2f3zmDy/9qJLpTOrztH3u4732zzAota6BF0zSuuH0nAxmC5rHL/OsdE3O8QKyTgsfjMScKazWYOA9WD04BIUEtPEtE4FR0RkTiSaOzaIcx6R7T7OKGpbVUehymTHQ6nTY9FiWypNmpZs/rBxb5WdMSYkd/krNmKHzwqEr+8NIAd24eJprU+cgxlciZ37VKywN0h1L8YGUPmg6nTfVwyRyfefyiIz+VSpG0BIbSOpww0c2Cmtxgz5bObFDznBm5spUCr0W381gmcLHYi8Vi4yJPbvX/OxCEbCRgKkfA+C1mxwv5Xo3CKsFa7S2Sz6WO21psE4/HsdlsZlGJ9fkRvyH0MeXMPSsS6CJJXmwMKDYWCU/LsUhZHk5Sat22VZXiQFAUhbq6unK3eBllvIERDAZNLuNyuczxcLztG0aC2ybzpVNq+dwjnazviPGvTUNctbACyLO0icfxeDzIspxjZwKwNwjLdxuJVRG8dCmQieMVdAb/5R1TqbZrpgRwfqJrWpWdLyyt4fsrs0Gso5tdnD8rm7QRiSi3280RaoKvnVbHN5Z30xtJc95MLz89t4I9A0l29ifY1Z9gZ3+C1qEk/dE0q1rCrGoBMBKqlS7F6CqvsjO3wcOsGifVrsJ5O51OU+N3A30Mx41CLrfTnjlu2TxnglsJzrawRubmCyfxlUdb2T+U5HOPdPDdcycx2asjZzpM3DaZ+947k4/fs5f9Q1ke1TKc4ouPdaLKcFSjk3fOr2D/YAJFgsUNhp1IjcfGdSdP4D1Lkty1sZ97tgwSyVSb/n3DEJ2hFNcvreem8ydyw4MtBQHmZDrr5+1UJD5zYh3JZJLeSIrvr+hgW28CCaOA9vK5HtPH+RPHVvOlJ7pyEt4y5CTFrfeEgAS4bLK5jzOrjQCjQKVTZu/ggROHDkXCpUo8k/GwPHeWj3haZ1N3nMd3hbgycx+3DSd5JMOr37+40gzaRxIa197bZkp7XjbXx/2vBhmOa1Q6ZUJJjZDlFphRqXLJEQFe7Y1z59a9bOuOFhxbvVdlYb2DBfVOFtQ7qffZzaCjkPI+FAhLqEQiga7r9IZT3LllmBf2R8wOLAEJmFLp4LSpLi6c5cOuyplOJXJ80ovhtZQ9LNbVLfZBeI2rqmp2IY4k55i0bCcciWBXjPFKrHcBkmmd9hwp9VTO+kx0XRdLLhXjaCPZaBXD4T63B+NFDxAIBN5SXT1llPFmg9X2RoxJolFjPNeyB7LyGmkM0jTNHO+t2xEFicm0zl9eHuKerQY/m1nj5JpFfr6U6ZCucEAwcXgT5fmQMDiS3ylT51Fp9Kq80hWjM5RGkeAjx1Rx+jQPScnG0zv6+eNLgwUNP4k0fOqhTubU2FnYYBTLnT/Ly+mzqvjpyg5eaotw56ZBACZV2PnKsgY+ds9+NGBalYO2oQTxzEH3RQqvpeg07w6n+dGzuQngaqdEX0zna0/1EE5oSGDyL6cq4bHJBfwhH4d6unWg2iXz6M4Qe4p083/82ErT2ueLJ9fy/ZW9BRLn+ahwygxmlAJah5P8fFV/zvtXHVnJVQv8xFIaP3lmoOD7zX6VluEsGarxqOwfSuUUOGq6zt5MIZ2uZ2PWC+ud7OhLUONRaRlKsnxPaNSJcV3X+dP6ATZ1x3GpEl85tQ63XR51TNSazBV85VBilvmS3wdCvv3okU0efn6+g39vGuLOzUOsbo2yoaud9y+q5LxZXnPNMJ74wOIKHt4RIpbSuem5Xn59cXPO+1aeJVQkhR2RKHg8UMJW2HK+1B7h5ud76YsYylTvPaqGd8wPYFOzRQmi49s6zgrpfLFudrvdReOixcbmsV6TwxmrFApJBxObqKurGxM/fjOgnBgv400NXdcZGhoy/45EIiiKctj8XUeqGBtJRk+Q36sWBPj4iU1oqYQpdeTxeIjFYsRiMdNDUiTFRQeCLMumxBFQIOVxoEF6pE7M/E57gXNnenhguxGs+O3aXobj8HQmyNXsU7nuhGqObPKaAQvreRFdox6Pp2C7Yj//fsVELr9jP4m0Tjih8e47dvL7S43JU8iMJpNJ3v3vfWZS3G2TuO99s8wKMLHf1k5zTdPMYxVFEgfqRBUBFetnhAz13qEU31veiUuVkCV4z+Iq3rOkjlQm4Sgk4Hf1hE1yOq/OTjBTTelQs9LW1e4U71lUwW/WDvCX9QP8+uJmXDaJW1f38+D2IPGUxqeOr8bnzb2WsZTGd5/pYThuSDZ98riqHE8RETBKp9NmBxAYElQfPKqi4Hgf3JbtQFrcVJwsRqPRUSeODxal5L7yYZVct9vtqKqa4wV0MLDb7WPqIrGeh0gkUlJq14rXumvYej6s51X40VoVFqxVkVbkyxaJMU3XdcLhsNkxD6J4IiOxmfGW1DTN7Cw/GIWN0d4Th7tjXyR2hLTvaIOZ1dXV5aR4GWW8gWEtvhKFjfF43LQDGU+MtL1UKsWUSjufOK6Knz7fxx0bhphT4zClza28Rtjs6LoOksyq1ih3bRpga0/hHGeNsSmSIfv9fIuxndV7hzh/ls+0ubAqjQicOMnN9SdU87NVfei6IZN+x4ZBrpgfQJUlM4AkxvFFjS5uOKmGH67s5eEdISqcCu8+soL59dkFeTSpsXvASJTvHdLY1h2hZTjJQDTNi21RXmyLQqb7uMKpML3KlpFidzCjys5EhwM7xhg9HM94jGfiWLGkccAioSbmMTGmz65z84uLJvLVx9vZPZDg+vv38dkTq01PZCQJhyrxq4uaaB1K8PnHOhi2nFZDKj7GmrZOAGo9Ci5FN9cEkUgEB3DVAh+Xzwvw3039/GfzMIm0zpO7w6xt28tRTZ6CYPLkgI33Lqrg1jX9RFNpZtUYc+zW3iTffbqTwZiG1y7zoSWV+Bwyd24Osqs/xqbuOEOxwkCM9ZU6t0x3kQCuTjYoC3DWrAp2vNBt/j2vzsGz+0tzadF5VO9V2Nwdpz+axmOXObrJRSylsak7zmO7QrxjfgBFlrj9lUE0HY5ucrEgcz9EEhofvreN4Uww+ezpHh7aHiKe1ql2KQVB4mqXwt6hFD95ri/n9VqPwsJMR/iCeid13tyQiOAaQpFgPPhaZyjNX1/sYU1btOAayBJMrbRx7gwvZ83w4vN4CtYlB+MTeDiRHwy27p/glJIkkUgkSnJic62mZ89HWtORVCnHdgygI5jrsz4Q03K4fyKRGPOaZDS2RwKHOzEuupOECtNoUVtbexj3qowyyjjcsMYqhUqGUP4Zj2L/0WKkMU4UElk7xYUCY2dM5puPt9KSKQ5c0OBiWkDl8T1Rat0qPZEUg6/dYZjQgUhKJxJK0xlKs6Erjtcu47ZJRJI6v1rTz/qOKCdN9rG2PZ6TFPfaZVORBuDV3gSv9ib496ZhVBlmVTuYXWNnZ69s8pGWwQSPbR/knJleHt4RQpbggQ/MYnPHMN9e3k3fAbzArTyvxiVzwkQ3928PEc7shw5MDNi4eLaP06Z5cKoyn3+0ky1FuHwpjMYDPB99UY2+qCFBPcGvssuSID+q0clvXjSS15Mr7Nx8XgOfeKBjxO1F8nzDa9wqSye7TducmVUGH/vvluGiif8Kp5KTGJ9Z7WD/UMpUKQRY3RqlbTiFJBmJ8ZV7w1w0x8+Ceid3bRk2z+mqlijRpIbLNvKcq+s6z+wNc89WI0Z6/Yk1TAzYcDgco+ZmwjJSFAyOB68cC+exjiWiAciupLn6yAqWTnbzi1V9bOtNcNvafp7eG+ZTx1UxqcJ+0MnVYpBlmfctNmLdrcMp1rZGOGZC8byM9diEOq+I/4si5qJQbNz2XDv3Z+LZzT6Vz51Uw6JJlUYuyJFVQxW5FZGLscaUD1YNeCzJ7sMdCxbJbWvD4Gi+4/P5DuduvS5RToyX8abG4OBgziQg5KdFsGM84Xa7iybGRaJupMSrpmkZufcoiqSTynSgC8IpBn5rskd0TxdDsYniQMnxYoPlSLJxVx1ZaSbG79tm/F+W4NK5ft69MECFz0MymTR9h8W5gGzVXSgUMoODoorOKo/+7yuauOyfbehAZyjFFx7t4GcXTzE7Lt53dyv9GcJkA35xQZP5W6JrXlSXCTn1YjjQvSCk+aznNZlK8d8tw/ztlUFSGlS5FL53Zh3HTq02z5kgSoqi8K3l2eDh106r4boHjb/9HldO9/f5M30s3xNle2+M36/r58altThUiZuf7+OJ3WESusz1x4NNMfZZ13V+saqPXQMJAg6Zb5zRSIXPZR6T6LAX5zRpYd1vmxegwVcYrNrcnT1PpaoFiwXEDwalgj+jTYBCbtHJwQTGxrJfxVDs/jmccosHC1EJnv+si057AVF4U0wKSJwX4fsjjl1IoosEkSh+SWe+n0wmcDj8Y+7QycdYOrMPZ2Lc6jkFhZ1TxSDLMtXV1Ydtn8ooo4zDC13X6erqynlNFMkcDl8xv9/PwMBAwZgtxtBkMsnp07xs6Y7zyM4QP36ul5+f30itRzWl5oR1hSieHI4muWlFF4m0jirDGTMCeJQ0d2/Nlb+u8yj8+qIm7KrMNf9tpTuc5qHtQc6f5TPPhRjv822K5tU7hNI4mm50P7/QEuHTJ9SwYEJh5f3SyR6G4xq/WtPPHRuHCDgVLpydXZS7bDLz6pzMr3eZRaHDkRh7BpLsG9Z4tSvM7sEUewfiDMbSrGtPs87iw+13Kkz0G1xnIJKiM5RC0jI2OumsqpKqqqb/sCzLZhFTwK7zw7Pr+fHzfaxuifCDlb0sbnRlrkHKnBcnBOz844rJ/PbFfu5/NVi0U6czlOaSO1qZFLDxkaMrObIxW3zolDWuXFjBxXN8fPWpXrb3xhiOazy9J1iwnZbhJF2hlMmBT57s5ncv9nP/NkPW3aFKpDSNn73QV/BdMPj65IBKVyhFxDJVXn9iNWdM85rXHHK7e6wIqLmvCV4qYFUfsGJ2jcMspD1pkhubInHSJA+/fXGAnnCa9R0xAk6ZlfsiRsf74grASIp/5L420zbphIkuntgdRtONwthiAVTxWo1bYXGzl7nVKgsbHDR4Ry5eFOuFUsXBo8XegQT/2TzES+0xs8NdQJVgRrWdC2b5OHWKO4d35nOv0XLK17JjXCRwSklZWiGkzsX6TUAonsVS2TWyy+XGaZNNVSJRYN3bnXtOBiJpkGTQtRE9eg+Esaw3Dies65fRBlb9fv9brqunjDLeTEgmk/T15c7T0Wj0oMezkaCqatExWyg5HmiesVrFidimy+XiXy+0mElxgI2dUTZ2Htw+OhSJeFpHwijMnFxhp9qtUOdzELAbBXA+h8zb/tmCpsOkgGpavDT5VM6Z4cXnkOkJp+mLpOmJZOx5wimiKT0n2Q3wQkuUF1oKY7Rum0QyLZnd3vn7t6UnnpOQ9tklggmdu7YMU+dRcCgSO/viPL07yAlNdn54ThMfvbeFlAbHT3SzqmXkOacvqnG/xZZmYsDGNUdVctK0ChIZfpJM62zL+JHbFaO7/UAYa1LcCocqEcuTC71/e8jcpt8pU6eq1LgVekcoAsjvKP/+uc2kkgkzMd4xnKS/MsVdW4aLfj+fWy+d7OLJDBcEY93xzw1GscmiBhfrO6Is32Mkxo+ocyBL0B9NU+tR6AmnWdUS4bRpxRUywXg+dvfFuCXDp98+z8+Jk9xjUgy0dmsLJaLxwGi3U2w8sa7FplTYuensBh7aEeSv6wfZ2hPnuoc6uGJegHctrEQZR2p50Ww//9o4xGBM45bVffzNkhgXVo3FYvb5TX92u72g8XBnX5yfPt9uKnhdckQFHzm+Hqcqm9xT0zRsNptZsCmsMEW8H4zY8sEmrcdScHm4bR+t+adSne/5qK2tfU3XEq8XlBPjZbxpkUwm6egorFgbaSE/GkiSRG1tLdFolGAwiMPhoL6+Hp/Px+DgIMPDwybBTKVSo07UCRJsTTyJSnuRaBLyIZFIpGhA8kAQyfbRTsh2u71kQt/vyO16nFxp5/OnNjG3zpA8iUajBefZ6m8MmPIoDocjxydEdJN6PB7uvnoGl92+E4DNPQl+sLyNL58xkXfcvp0+i8xnEvjKE538+e1TzISdkJFPp9NmB+xIi4KRFgTCSxmgJ5zi5ud72dBlTNrHT3TxqeOqqfYa3bKim0psV9d1OkLG+VYkcNtsJtGW0glk2WWeG0WW+MzSej557z6e2RvhzOlRTpvqxaHI3PRsDyv2BEmkdT5/UhV2ReK/W4M8szeCLMFXz2ii0kGB76l5jpJJOkPZY3z7vOKedH1R47u2Eo2twh/0cGK0E3K+V/Zr/ftw8Enw17pjXFSH5nt6F0OpQhoxlolEsOiyE77kiqKYY5Lb7Tard51OQ/ZI2BGU+n1VVXM8e/IhKjoPdO5ea0I3Gn8ph8NR7hYvo4w3MIaGhggGC5OUQtHnYBe4drudqqoq+vv7SSQS+P1+6uvrzUSSKCIUc28+77v2mCp2ZKTHf7Cyhx+c1YBNMTiQVRpTVVUq3XDxHB9uh52Lj6ikyq0yEI6biXGPzfBkO22qF7tqcLVlUz38e9Mw+waTRJIa7kxnhUga5s8V6zJe2vNq7Zw/y89vXuxn90CSzz7cwZWLErxtjqcgiXr+LB+DsTT/2DDEjv4s74VsIaiYZxKJBE5VZm6tg6MmuYhONxLmA8Mh2iNGMHJ7b4xt3VH2DSYYjqXZnFEWSmrwvv/sxZ75/c3dcZ7Y1s/0Kht1bqOIMplMmudaWHhUeB1855xJ/OqFLv67eYD1HcYcpumYEuyCF117dBUXzq3ki4+0mYnrfOwfSvKVJ7tNqfVPH19DwKXQHUpx/7YgLYPFub1HgUqvjdahJL9dl5WYvHVNrtxkPBO8VCRw2mSzO8Ztk3jXggCXzPEhAR+5v5NIMMthblvdz/w6BwGHbCbGiyXFgQLZ9F39uXOgxyETtXSei1n76CYnt6w29nfZFEM5qsLn4bSpHu57NcijO4OEMx1Fy6Z6mFppJ5bS+Oj97Qxk9mVqhS0nmJ3fgRRwyizKyJ4ubHDS4FVHzQsOpCJ1ILzaE+OuLcO80hkr2C+bDHNrHVw428fxE1xFizBfC449XhCqW6lU6oBcuNS6VVGUnCLctK6TTCbNtaAYX3Z25469OtAXSTGhyriHio2/QlXNVMwogtFy8deSs4vC8gOt8Q+XAl4ZZZRx+KHrOu3t7QVrXtHIcyjJs0AggN1up7e3F0mSqKmpMYuze3sNyW7rmnw0sZRUyrCvsNpVSJJkcgSHKjGnxkm1x0bncIwtPcXXxfm+1xLwjdNqWdDgwibDd1f0sqolQm8kzZdOMRRk8s+H1250at+4tI6tPTH+9vIg7cEUf1o/yCmT3VxzVGWOV7Ldbieaht5wit5wms7hGA9vG+TV3uw+Wm0iBf/JR36iXCBo8dW2fveXz3VwzDumMa3WziVzA9y1eYjWoSRLmlysa4+W9ADPf63WJXFMswtVUUhgSIX/6aV+s8s8kYZqt0owliKhkeN1Ph6QMHzSRXe8wOM7jbWDQ5FwZtYMTptCcRfzLBq9Ch0h4zOPbx9gSkW2i3dVW5y9gyliKd1ckwjUuBW6w7nPxZQKI8YkzsWOvji7BhI4VYkPL6ngkw9G2d6XoG04SbPfxsxqO9t6E0yrtNMTNpLmIyXGY2mJ7z7TQzyts6jByXuOrDCOOc/WciQcDgvKkdRo82G1XC0FRZa4aLaf4ye4+dWafta2Rblj4xDP7Y/wyeOqOKJu/IrwPnVcFd9+ppeBqMZD24Y5f7YRkxZKQW6322xuK4VEIpFdJ2pGUcrfXxkkrRsNa58+oZolTS5TIcyqKCsKIoUsu7CYlCRjrJFlueT4K2J5I635R1tw+Vrabo52XfFW5ZXlxHgZb0qUIpoCY6nkAWMA9Pv9OBwOPB6PSSRFQEAEW8R7oyWYAiJhkk6nc7qrxb+FrFp+1c/BJASFj6IY9HRdR9f1MZ0PgZ+eV0eNy8Zju8K87Qg/NkU3iwEAs8pf+HHrup5T2S5JUk7AVnxGeIooioItHuKXFzTwyQeN0tMnd4dZuedVEkXmye5w2rwWwgtJJAKBnOtmPX+io2okciEmv5X7wvxydT/hhCEpdO3RlZw9w4vNZjNlA0UHhJB7WbU7G7A8aaKxD6LiUkipW4Oqc+rcXDDLx/3bgvxqTT+3XtjESZM9fMtl55tPtLNqf4hvxFNccWQ1f15vbPvDR1eyuNlLNBotOcn2xXR6LEFKQWDzkVEWpdKpFNxngoCMV4Co1HbGkhgfb3+WsUiXHUrn/GudGIfCxPZIKEb4xDMtnlOhviGOxVpAommaubBTMp+RJClnHBOKGkKO2HrvioCm+E88W/ljYTEcjgXISBDj6kjX9K1YfVlGGW8WlCq2hKzqz1iSaU6nE6/Xi91ux+/3o6oqVVVVxONxk6uA0RGYTCaJx+MlOYpdkfjSKTV8+qFOtvUm+NP6AT59crPp9Wu1t0in07x/caWFqyZoH7RYgWQCUFMrsx21F8/28e9Nw+jAozuCXHZErp+tsA8R1ffru4yg69HNbk6d6mFhg5PfrO3n2f0Rbl/fx4rdw3zmhGpm1eT6xF25IMDkChunz6o259X8wI/NZsux4RHqQIlEAocqM71CZqrfyVlTnbjdTQwGw+wdSLA/qPOz54xuf0XKdqzsHUzyvWeM1z02iZk1TmbXuplRbWdmjYtqRxpHRtJUkuDjx9fS6FO5bVUPOvDYzhDh5H4unONncZPH3NfJFXb+fFkTv31xkAe2ZxN6s6ttpHXY1W/IQgup9Xff1VogcVnnlujO8/0OpyE8VJqrTvCrHD/RzcxaD7t6ozywbcj0pjxnppf3LarAlyls/fryHjoySXGHDHENYmmdTz3QQSQ1Mj9RpKw/vYDo2jKvlVx8zlMUG+GERpVLYV6dwwwgnTPDy32vBlndGkXTDcnPq4+sIBxPc+197WanuATsKeFlfmSDg2uPrmZSoDARPtpEw8HM1a90Rrl7yzCbu+MFHVUORWJho5uLZnlMq4ORcLBe0/8rWFWpDrQuLcbNEokEbld2bRgJR1BdhQHf1uHCc9If02nO6+oXRTViPWpdI4gCdMEpxTp0NAWXrzVnH819WOaVZZTxxkWpYksw1pVj5ZVCQcLhcOD3+5EkiYqKClMuWKCiooJgMDimbdtsNnMb1u9FIhHeMT/Ahs4Y8ZROlUvmM8dXMBBNs74rycwqhRqXypqWMD95wfCSdqoQtUzFOvDj5/v42+XNSJLMx4+pZGNXjJ39Ce7fEeWqxTXoum5KuAP4HUZiPIHC+bN8LJ3s5vZXBnlkR4gV+yKsbo3yzgUBLpvrx6YYSkBKIkq9E6ZWeYhEJKZXKFz/cIcpoX7adB9z69zc8nwXkyrsTK9UWb4nQqVTxmGT6QyOPYk1FNe59G+7qHUrTKxw4FAkWoeTTAzYzGMfDV7qTHDVv1tYNsXF9Gon9746zG6LpPk1R1XwtiPruOBP2wGYElDx2GU2dh+aiuJpU93s6k+aHbj5EElrv8OY291uN4nkgYuEO0JpnJkO9Ie3hzhnRjYxvaEzysbMv6N5fOrIBidP7s7a/UlAbSDXmvOZvQYPuWCWj0kVdhY3OlnXHuPpPWHefWQFC+qdbOtNICjqy50xBqJpKl2FzQuarnPTii46QinqPAo3Lq1BkbOx5tHicHhJj5YrWu01R4Naj8rXltXy7P4Iv1nbz/6hJJ9/rIvzZnp5/+JKPPZDj7EdN9FDs2+Qtkwxy7kzvTkxZhFfPJAPu6ZpdIXT/OTZHlPB4cSJbm5Y1kSFyxgvxLGLmLFYG4vXhNWquEbivIp4plDJhMLmM0mSTIUxwSlHKz1/OGLYI0HkVw407r9VeWU5MV7GmxKDg4MliSaMvopHkiSqq6upra0t2umXX1Fjt9tzpMNHi3Q6XTDoC68xMEinNZhwqLJv+TLAYBBea5ez8NsYCbOqjQDPe5fUmkk2q1yz8FHJT3Y5HI6cqiwRuBVBFZH4Ekn0qVVOvnJKDd9dYQRb85PisgSnTHbz5dObSSQSpjS7KC6wBpnFtRGBXLGvIxELl8tF31CYX7/Yz1MZMjaz2s4NJ9XQnJHnFAFnERgWSXGbzcZPXmg1t3X9CZWGf3Um+ulUJFMtQCASifC+xVU8tz9CRzDFXVuCXHNsPQtrdb55eh3ffLqbDV0xNj3ehqbDmdM9XDjLl5Ocy59snU4n3388ux8jQZzeWdUOs/gjHo8bvpx2+7j6HB4qIbDeN+MFl8s16u0dSqDstU7eWiG6vcV9WgzFAsg2m41EIpGTNBf3nM1my7mPJUlCy5yfRCKOJHnN58/q6VMqQT9S57iQu30tKy1HglCnGOm+easSzTLKeKND13Xa2tpKVocrijLquUxVVRoaGggEAgVjgligW1FRUUF3dzcHQoPXxmdPrObbT/dw36tB5tb2cvJkT8HnRGGTVdWnXSRHlaxspLV7o8KlUu9R6AqneWRnqCAxDkawIJlMkkjrrG8zxsGjm41jqXQp/N/pjaxqjfGzZzvYP5Tkhkc7uWyun6sWBnBkivQkyZDU1qy2NRk+J+aOYh3qNpvNlNSDXJ7ncdqZVSOxaJKbP73Yw1Bc4yfnNvDc/gj/2TxMvUehwm1jV1+McFLn5Y4oL3dYilBtMtMqDT/vY6ZWk0gkOH+GG69SzU3P9aEDz+4L8+y+MIoEE/w2jpvg4oLZPqrdKh89tor2YJKXOgzetK0viVOV+PbZzbQNRPjbK4OEMqTWmhSXoCApbn0v/x1Zgi+dWscJE1xs7Ylz25peM2g6o8rOJ46rZma13SzE/fnKdtZlrtNJk1x8aEkVH72vnXhaP2BSHKDCpdBZpKNK7NukgEo0WbgdtwrP7DHkMU+Z4sbpsJtrjckVdubU2M0OrpnVdm55oZdXunLXIsX2zibBjSfXsnSKt+SzOFrOJdS1DsR1V7eEuffVIK/2xgskTF2qxJENTt42z8/cWueoihGBUSn6vF4hio4P1OWTD7vdTjCUDXRree8Jntc6XMj3+mPZpLjT6SSRSIx43dLpdMlxXKi9leJxh1vyMh+iu2mkuaXMK8so442JRCJRstgSxlZ47/F4aGxsLGqrIDoiraioqGBwcHDU+wrkeO8KiMLEJZPdfHkZfPOpTpbvCVPpUrjmqErOnm43x69l07w8vS/CuvYY0RS4VSmHawTjGt9Y3sN3zqynyq1y7dGV3Px8H39e18NR9SqTKuw5cVdDuTLFcDwNyPgdCh8/tppzZ/j49dp+tvTE+evLgzy+M8SHj65k2azsd1OpFOG0zLee7iapwUS/Sutwisd3BukMGvN0x3CSLy5rZPmefSQ0+MvFTfx5/SB3W+S9rVzM55CpdMokUjq90XSBZHlPJE2P5fy9cAApdbsisbDezqu9SVP+fTihcd/2MBDO+ewZ0zy8fX4l7QPZ12s8Kmsy6k0uVWJ+vZO1bWPnFsv3RPDaJPx2ieGEXrLDPZxI88juKM/t6aLbIqPuUqWC5DYY504UEQYTGuvaM/Ehyej81oHJFTb25RVBNvly01deu4SejOV0yHeEUjgUicuOMLqQl031sK49xvI9Ya5aGGBhvZM7Nw+zsz/BzCobO/qTrNgX5pI5hUqa/9o4xKqWMDYZvnxKLQFnNs41Fk6QTqfH1avbWiRyIIwlrikgSRInT/awuMHJH9cP8tjOEA/vCLG6NcrHjq3ihImH3lV8w9Iarn+4k2hK56+vDPH+xZU57+u6bjbkFDtWXdd5fFeY363rJ5rUcdkkPnpMFadP9eByKAWNXaK5Jr/T36p4JJRmxbUV681S51o0Co3EK0vFzscSOxgvjOb+e6vyynJivIw3HeLx+IhEs9jkoKoqPp8Pn89nymcIv7KxJq/q6+uJx+NjmoCKDUD5EuzxeNwc1GOx2JjkUw6E/AlHluUx+TTnJ3VFcDcWi2G3G6RY+JVrmpbTXSASSvF4vEBqPZFIIEkSTqeTZTPttIQ0/vpSf8HvazqsaY1y+8v9vGdxtVn9Lzwjxf6lUinzvI0lmdofSfKx+9vpi6aRJbhiXoArFwZQ87phnE4nuq7jdhu+M8IbbyAjpWlXJLxeL8FIzCRvIiBss9lyJlWnCtceXckPVvbyr40DnDLZRbPfxvx6J19fVsuXn+g2fCQViQ8d24Akpcz7VniJisnW6XSyas8Az+3LJdLFsKM3G4A8f5YRVBcd9WORDBotShGCsRBHkbwfr30TlgWiowSy1ZbWa2S32w9J7vJ/mRiHrKROKT9xoVRhraAUBFBAPN+QTYxYty/uczUzlgqbg1QqdUjnTpDl8RwHDxUHWiC9VYlmGWW80dHf308oFCr6nlC7yR/PnE4nPp8Pj8eT06UoPj9ayLLMxIkT2bdv3wEX0MdNcPP2eX7u3DzMLS/0MaXCbnalQKGFhRiz2oez/oyiE7fOk1sMevo0L3dsHKJtOFWyswJgY1eMeFqn2q0wpcL4bZEUPLpB5dYLm/jdiwM8vTfMXVuGWd0a4dMnVDO3NhvQzR/TheeckFIXFjzinFvnHsFVFEUhHo+b81Y0GsXnkBmKa0SSOlNrPMAwk6uc/OC8SQyHwuwfTLKzP86u/gQ7+5PsGUgQSWps6o5jy3RKpdNpnE4nZ8620x9N85eXh0hmJrq0DvuGkuwbSvLvzcO4bRIzq+28mpETPa7Zxeq2KLGUzv891mYGAIsh/2W3TSaS1JgQsPG9M2r56fO9vNyZ5emaDj95tocjah1mEt5rl3nvogrOmeE1O1zi8TgPbRvm3q2G/+K0ShtfOqUOgO+cWc+NjxYagxaT5EylLV24luMQHzttqod7thYWKPsdCqtbjfvwnNlV5rZ29ifY2BWj15Js35onw5rfUS8wya/ytdPraPDaRrQ1GYuVSTKZLEhKaprGM3sjPLQjyI6+RMG+eO0yRzU5uWJegKmV2cIS8cw7nU6zmwSyVgRWvjsaucuR8Fonb/MRiURQFKXkceSPYWZBtGVIdDhdSJJxHOJa6rpOa6ZjzRqY7w2nkGX7uPiEj1QoCv+bc3ug4yrzyjLKeOPhQMWWxWIakmTEkHw+n8lxBK8U3Yqjhdfrpba2lp6enkM+DjE+LWl08Onjq7n5hT7u3jJMhVPh6qMbzPclSeK646v56H1tRFMULcB7uTPGvVuHuGRugNOneli5N8KL7VF+vqqPWy6ekjMWVrhtQJze4Rg0ZHnutCo7Pzy7nmf2RvjjSwN0hFJ86+keHt0V4ZrFAZr9NsLRON98oovucJomn41bLpnC+pYhfrCyh41dcRQJkprOUDiGXZEIJzQGUzYafNl5XZHg+hOr2dqT4PFdIYJxjWBcY2LAzmeW1nJUo4uW/gjfWN5ldseXSioXQyKt82J7HFkCpwKxEaafZ/aG6Qx3MtGfjStt6c6uSapcipkUH4l3lkIoU+QoAV88uYb2YIr7tw3Tb7G0jKTgl88XFvF+6rgqtvcluOfVXD5YnedDLqx5XDbJLBbtixgnrsGr0JmRXc/nok0+g18JaX2B82f5qMgksU+Y6Map9tMZSrGtN8ERdQ5UGXrCac6c5mFHf5Kndxcmxte2RvhHxqv8E8dVM6M6t8hkLM0ZIyV4DwYiX2HtUi4VXzuUOFmFx8F1x1ezbIqHX6zuoyOY4rvP9HDiRDcfOaaSavfBpxNnVjvMYth7tg5z1YKAaeElINR0RYGPOLahWJpfrO5jVcZSaV6dg8+eWEO9Vy16nkWcXdi9CljVawXEmKqq6rjwylLxXpEbeS0Ri8UOqJ71VuWV5cR4GW8q6LpOa2tr0eChqATXNA2fz1kEunUAAQAASURBVGcmaXw+X44c+qFCdAPt2bNn1Mm90Q6M1u2NZ0Io/3yNtQsz/9xpmmZOJKKDoJiHtwgwCo8PMVHJsmwmzWOxGNFoFEmS6BounayPpHSe3xvkygVGJ5OotLfZbITD4Ry/SkVRRj3RKXYnn7trN4PxTOWYTWI4nmZTV4wlE/3YbaqZOBbHC9lgz9N7sxViF88xEs1xSzRNSKkXmzRPmuRmSZMh/3Prmn6+e4YRvHxgW8jwtcTwOvr8Q/v50YWT8aQNTz6Px5Mz6WtI/OZFQ3Ld55AIxkvfl/dvy1bCLqjPdq6N1pd+rCh1D4+1gi4ejx+Sx6sVxUirw+Ew71fIesoeCv4XUurFIIpZihWLCK9LcX+Ke0CSJLNDT9O0nGMRfrCapmUXMLpGOHzgwoyxopSM1P/q3IrAd35XPbx1iWYZZbyREY/H6ewsTBYCZqGPoig4nU4URcHlcuHz+UzZtfGAx+OhqqrK9IUcCe85soLtfQk2dMb4/ooefnpeQ0nbFDEmiY7x5oDdTIy/1BHjeEtHwDkzjcQ4wCM7gly5sKLoNkXXx5KmLK+2zpUBp8INS2s4ebKbW9f00zqc4vOPdnHxHB/vWVRh7mv+wt0a6BFdSh6Pp2BecTgcZrDWOqe53W4qXDZah1MEE2kk3eAYsYRhCaLKEtOq7EyrspufHw6F6YkrbOkIMskvm1xPeCVfdXQjZx9Ry1ceaWFHr9GxUuVSGIimSeuGLP0rndn93j0Q57gJLjZ1xwgn9JzgZMAhM73aSYVT5oX94YIOm0jSkENvHUryiQc6CWY6iGQJJvgV9g+liaV0Myl+4kQXnz6pHo+au52XO6Lcttbgg5VOmR+f02C+9+jO4kpb06oc7OzLDbQNZXik2yahyjCcxytPnuLhP5uHycdQXCOR1qnzKKzZN8Qf1sTZ3BMr2l1ukzElTh0KxNOFgeXzZnq49uhq07N+pILDsczBgu+FIhEe3xXm0R0h9gwkCgLKAYfMMRNcXDHPT7O/+DNfij8L5SyXy2XKMx6qItPrwZtc2OzY7XbTz1HAWrRgTfpKkmS5tpIZBBVcrn0gTCSpmQl0QfHaBiNo2qEnxQVGklV/rTt7hEKTWA9bC8gFyryyjDLeeOjr6yu5JvZ4PCQSCbOoUlVVPB4PXq/3kOMOVtTU1BAMBsdVBfCM6V7CaYXfrunmjy8NUO1WOXVKlkdWu1WuPaaan7/QV3Ibv183yOJGF5Mq7HzyuCo+/kA723oT3L15kItmWmyGMpYwggtZIUkSy6Z6OHaCi39vGuKercOsbgmzri3MJXN89Ec1tvTE8dgkvrqsFpue4JQZlVT5XHzl0RbCmW2+3BFlaqWNbb0J7trQy32ZgsIJmQ7zX60Z4OaLJvPuIyu5d+sgD2wL0TKU4McrOqlxK1w61891x9fww2d7R0yKOxWJRr/KHos0ukhga/rISXEwCgY3d0XZ3JV9LWThVG3BFDKGGstYk+JW6MD3V/YyKaByw0k1/Pi53pzkeDFUuBQ+dHQVy/eETN4I0BdJc+wEN2taI+a2IWvnCJgJ8tk1DjpDxufyJd2PajbuL48lMa7KcPkR2SS3U5U5YaKb5XvCLN8T5mO1VcyqdrClJ47XriBLsKM/QetQkgmZYuL2YJIfP2+oQl08t4Izpxf3IB9L7FGomI5HcrzUNlRVNa2tRIPaoTzjoslrYYOTX17QyD83DnH3lmGeb4nwSmeUDxxlWIrKB8lFvrC0lmvuaSOlwS2r+7jhpNqin7M286zcNcDNz3UzGNNQZbjm6DoumOFEkaWCWKZVZULkBQCTUxW7dlYr2/HASOqXrzXcbreptmq1v/1f79frAeXEeBlvKmiaRkVFBR6Pxxz8xAQhOodfi4fd7XYzffp09u7dO6pkYiwWG5VkkuhiLSaFPp4Yz4o2wOxGtXYRiM4f4acpOq2FFLrVGxyM4Mgze7OLCL9D4o+XNfHPjcOs3BulJ5Liinl+MxgtpPyscqGQ7Y4thmKds3e83JdDwkIJnYd3GHIyfkcvJ032snSyh0VNKm6nw0wUisq9X63OVk++f3E1uq6TybGjyphd58WCMJIk8ZmTm/jgnXvY0Bnj6b1hesNpnt0fQZXh+hOq+cvLQ+wfSnLdvXu5+bwG3O7Cyrf/buqnZShJwCHjc8gE46XvyS2WDp3D/ayMJBE41sSm8HU/XB0d8Xg8h1yqqnpIz8jrTS5TFLPkE3zxDOZ3rYjkQKkgrNVvFjC77cYbI92jIwUTxxuligpkWTbP0VuVaJZRxhsZuq5TX19PKpVCVVXzPyuvfC3Q0NCAzWajs7NzxPFMkSVuPKmGTz9kSJbfurqfz55YXVKZyO120xXOSHlbuoAf3B7MSYzXuFXqPCrd4RSP7QyVTIy/mOlKOdripVyMcx030c28Oge/f2mAJ3YZktRrWqNcd0I1C+qdI1a0W7tRrV0ETqeTcDiMqqqm77iQdtY0zfTWDsY1s5OkSD7W5KeqLNHo0pg2r8bs7hX8TiQyvbLMTec08v2nO1nTFqU3kuZ9iyqYWW3j8V0RVrVETHn6nohGT8Q4P6oMAafK4noHVywwuphcLhePbe3lqd0h8zNem8RgJpgodtUaCJ5VbUeXZCCX+7zQEsW5pocr5gVM1YC24QRfX96NjqE29IsLG83ujPteHeaJXQbHzu8o6g0nS3YZnTXdy/I9Yawh3wqnTIPXVrS7WyT8u8Np/rR+0HzdY5Oo8ajsG0yaneEiKa7KmLxZ/Ioqww0n1bA0zy5gPJR4EimNB7eHeGJXO/uHk+Q/blUuhRMmurhiXoAaz8FzG1FAKO7lQy14Hm9boUOFsOyxQqwF0+l0Af+XJCPhHQqHcei553X/oMGjmvx22i1F0taOs/FCMTUoMdaLfX8tChAEf7SOg1ZrKyjzyjLKeCPCbrdTV1eHpmnmetnKLV+L51pRFKZPn86+fftKKiJZkV9sWAqXH+GjP5rizo39/PS5Hrz2OpZY+OCZ0zys2BtmfUfxWJwOfOHxLv56eTM1HpUPLankllX9/OnFHo6qbzQtDP0ZDjccLz0HuG0y719cyVnTvfzuxQFebI9y1xajAFACblxaY/IjWZaZEYDvn1XPFx415J3v2Rrk5Kk+tvUmuO/VIXTgkiMquPaYGr7wcAubuuN84aH93HROA+9ZVMnbjgjwyM4g974aojeS4vfrBvDaZWpcMr0lEsgSEEvrOUlxn13O4XkShopTVzhNpVNhcqU9x/JnNCiVvl7c6CLgUnl6d2kL0nzsH0rx5ScKu8M9NgjnUZgfPdvLh46p4eQpXh7Ylv0NHUNlJx/xtJ7DN2UJhmPZvW/NS4yflim8sG5rSZOrQNVq2VQPy/eEWbkvzIePrmRBvZEY39mfyHqQ7w1z9ZEVxFIa33umh3BCY3aNnY8dX0c6WXzOF1aao8V4q77mw263E4lEzO0f6u9YeZpDlXnf4kpOmeLhllV97OhL8MvV/SzfE+aTx1XnKJSNFrVeleMmuFjVGuWZPRE+tCRFhbM4r44mNX65vIVHdhjj1eQKG587qYa5DT7i8XhRu4dSyV/IdoZbczCvZROYKIwVDTWH2x5S3BuQLVI9kIXQWwn/Wx3XMsoYZyiKQnV1NQ0NDdTV1VFZWYnP58PpdI5ZvvJQ4XQ6mTFjxqi7hkSV+kgQQbnxTqjlB5JKBV3tdrvp3W2FkFx2OBy4XC7cbrf5Oat3uegiEFKXYgKIRqMkk0lisVhOt4/YD7fbzbMtMdOLBiCRBqeq8tETmvjDZc3c9+7JnDTZY8oSCh9zkRwT2yk18Iv3rMfWl1D4x8tGh9bMTBfRjCo7Z0334HcoDMc1Ht4+zFce7+Bd/9zDD5e3sa4jjqwa8tJOp5NIMttVA8ZEpMnGhO9Qc6W6i+1TpS3N1YurAfj1mn7+8vIgAB85uooLFjTwo/OaaPSqHNvsosJlnOtEImEex0A0zV/WGcfwvsUVOeWq+V6mAP0ZvSf7axDrV0dIlh5McDMej+dUBo43rPt7qOSlmOfX6wGlChXySd2BkkHJZJJIJEI60zJutx2eBJJIfIjxxmqbEIlEzPHA6XTidrvHtYtTwEo0rUgmkzn3ZDmAWUYZbzw4nU5qampoaGigpqaGiooKvF6vKWX5WqKqqorJkycf8HOVLoXPL61BlmD5nrAZRMiHSMq1DhkBH2sgbn1HjLbh3HH/jGnGWNYTSRe8B0aHRXswhSLB8VMrzNdLccoqn4vPLa3nB+dNpMat0BFK8aXHu7htTR+xlI6qqubY7Xa7cTqdpk2PgCjQcjqd5rwspPKE4olIkntsxn4MxzV8bkP9JZHSC66j0+ksSHyJ4IGYbwTsdjs2SeMrp9Zy8RwfAH95eZAVe6N8YVkjFZng3NnTPcyttePMqASlNEMm8ok9YT5yXztX/aeFGx/Yxw+fNfiaBPz9ypnc9d7ZPPSB2RzVVJzbvNqbYFtPDKcqcc1RFRzZYByXDjy1O8zH7m/nByt62Nwd4/qHO0lrRqDxF5dMNoNPj+4M8tuMqlDAqfCT8xpzpPQHY0a3ejGcO9OXw80BFjU62T2QIJWveWmBQ4Fjml1cc1QlPzuvgT9c2sxgxnZInCOB/AR7g1fltouaCpLih4JIQuOfGwf5yH1tvO2fLfzhpQH2DWWT4nUehcuP8HP725v569sm8LFjqw8pKQ4GR7BywUMNYL4eusXzUYr3iG5oK5TMZ4vdNq1DGbsHr5JzL/aGxz+QKEmSOd6IAkdhlxGJREwVJbHePRzzgLAYy4dQUBP3TZlXllHGGw9+v5+6ujoaGhqorq7G7/eba9TX8pmWJInJkydTVVU1qs9HIpGiPuZWpFIp3rvQy7KpHtI6fO+ZHrb15ir+fOq4apwjDJvBuMY3lxsy72dN97K40UkirfPzF/rMuILfUuhohTiPVp7W7Lfx9dNquerIrIexDty1NURLSMfj8Zjr+GmVdq4/wYi7xdM6K/cYyje6DidPdvPx4+tw2lW+fXYz0yvtDMbSfPWJToYSUOF1cuXiOv5+5XQ+dVwVTT6VUEIrSIrbLCEu63S3sM4Y10MWLu5SJX5wVj0/Pa8RmyIxEEvjtWXvkbNneHO2N1as74iOKSk+Es6aEeALJ9dg2T0GYho/WtnN4zuDZixUQBSB5nM+EXMFWFDvZHNP9v7pjuTO+U0ZpR7Nss44cWJhfHNRg6HINBzXeKk9yoJ64z7e0BVj2RSDSz69J4ymafxiVR97B5NUOGW+dEotcsmygrF3Feu6flif8XzecCgNQ1bLKiumVtr58TkNfHhJJU5VYnN3nE892M4dGwZJHoQkwWdPNNarOkYhRTG82hPnuoc6zPXspXN93HxeI9MstkXWhhyBkeK1Yg0sVEAPVww5nU6b61iHw5ETT45Go0QiEdMeUnDP12oeEOdAqN5Z7Z7eaignxsso4zBCdK2MBul0elSfPRy+xPlBSxEEsNvt5kAuPCKj0ajZBSDeE52/8XjcHODF54olP4vJBabTaVO+TgQiANNX8vb1ubJLibRudvDYbDYzQCG6vkUAQ0x4I/n2Wd+LxWJm4PPnK9tJabCkyckNS6uxyRI7+xOcNrOSv72tme+cUceFcwIEHDLBuMYj24f48iMtXP637fzg6Q6+/ug+8zfef2QAm82G0+kkqRkTjssmm+c+//pb5QcvmummyW8jnEmynzvDy+VH1hEKhah2Svzqsql87PjaHB+TWCyGy+XiL+sHiCQ1ZtU4OHO6F80UKsz17cyeV+P/lSOtWMYJ4yV5aUUkEilKjMYDIiA1Hni9yKjnw3oPispLh8NR1H9nNBBHGY/HTGnS0Y6Jo4FIgIvxRiwA8hP8sViMSCRCIpEwA5oul+uw3StWiHP4WifRyiijjDcXhE/xaMaS+fVO3reoAoDfvNjPjr7iSbNoSqc/k5DsChkBhDk1RqDhwe25wbIzpmWlBB/ZURhIW5fpFp9f70TVc4MRws7Gyh3T6TTpdJr51TK3XdTMRXMrM78b4oN37ubFlqA5dgsuV2oejsViBQEQq82N0+nEn6n4i6YlM5AYT6XN963fE3OVy+Uy7Xes+yKk6ARPU2SJa4+u4qPHVCFL8NiuEJ+5fz9doRQ2Ga47uZlbL5vOne+axG0XNXLhLB+NXhVxKMNxjZcsHUAVTok7N/Sxq2uIv6/rZH27wVGnVNgo0mRDLKXz703DHFHn4J3zfTnvPbs/whce6zILNb94cg1NboNr/3PjIL9Y1W+cA1Xilxc0MLPawe3vmkGjLzs/FrED5chGN7UehUReIGxNS5TrHuwoSHBar9rXltXx9dPquPwIPzOqHdy3LchQ3JBFFPKZxXDaFDe/uqgpZ9+sGIlb5b83HEvxl/UDfPCeNt7x7xZuf2WItuGUyVsafSpXLvDz36un8cfLJnDNUZUlO1kOFuO1phMqB683iLWIgHjui3Ev8SwUu4StmUKcCQEb1se/N5Ie96JH8ZzHYjGzqz//Ooki9UgkYh6PCGgeKtcrVWwpIDrWhRR/GWWUUcbBQpIkPJ7RF5mNxlLC5XTy6eOrOarRSTyt883l3TmdvnVelWuWjJyMN/zGh41E+vHVuGwyW3riPJDhpV67MfaFEnpO0aJY6wv+5/F4cLvddMdV7tliSKHPrLZjl2FjZ5RP3Lufm1e053SeHzPBneWImZcl4NPHV5NOGY1MfpedH5w3kSafja5wmv97vJO+YNRQ+YjHuHh+DT8+r4mJgULOsGSCh2uWVKPkDd9bMgUEOnBErR2/Qyaa0rltbT+yLHHqFIODr8rIj0+usHPDKY38/tJmTplcmNSzK0YhoWOEKclnl4pyyoPB/a8OMbvaRqXL2KAEiJx3PI3JQfOh5U36LRZVGJ9dJpHWTf4YLsEPe8LZ6+ctcsCKLHFKJgG+fE+YObWGz3hfJM2UShtOVaIzlOL3Lw3yzN4IigRfPKWWGndxyz5z3w/CYkU0dRwOjDafMBqMxE8VWeKSuX5+dWETS5qcpDT4+4YhPv1QB6/2jK1I022XOW+mcW+/0hmnZSh7/VOazt9fGeTzj3XSEUxR61b44TlNfOTYWuxKrupqsc7w0V4f0byXSCRMPjeecTuxdsxXAbJCNBXlN/Xkx+oPBkKVtxTEWvZAhU9vZpQT42WUcZjR2Ng46skvFosdcOAbb6kLRVEKktSiWzuRSJgDef5gKgZvkZQqBZFoHg3EpGRNZMfjcdqHorQO504img4RTTX3RQQoigXFFEUpOQkVey8SifD0rmFe6ohhk+Ejx1TR7LdzyVwj2PjL5zrRdFjU6OJjx1Tyr6umc/NFk7nkiEqqXArhhMbjO4Z4dn/2vNy/PcTGrrgRcMlknx2KZAaHZFk2vWeEXJ+ZRFRUkhaJ0zNmBnLOuZ0kjkxQyHos6/cP8sRuQxrzupMa8Ho8BQEnIT2TP/nPrT38Hc0jEa5igajRYqRO9EOBruvjRjZfa6/C0UJIpUG2K1xVVXPBWSqRLDzK86vdRWBcyixpRGLD+vnDgZHOrwhoCqUKwCwCKqaIMRIORDQF4vE4wWDwdRm4LqOMMt44UFWVCRMmjKqo5/Ij/Jw42UtKg++v6CFYRHKyL27Msz67ZMoSXzrX8OZ7cleImKVdt8FnMzuJn9wdLuBbL2b8xY+b7C9anCQKKAV3tI6HLpvE9Sc38J0z6qj3KHSFUvzfk93csqrP9Hu0noPRLt6tv1fpzSjphBM4MlHPhGZsTxRMWfdXzBPF+KMIwObjwtk+vnP2BFyqxPY+Y26YW+tAJW1y7YkBOx89torfXdrMvVdO5Mun1BZ0/AzEdP6zsZ9r7+vg7xsMCc+FDS4+sLiCIpaagNFldMeGIf61KUilUzaDrvnB10d3RXmlM8aPVnZz+ytGoFgCvn16HZUuFV3XURXZDDqVWpWEE2m++mRPweuRlF7QAQTGNRa4c0vWf3wgmua/mb+Lya+D0eV+w4lVfG5pNhhWDCPN/ZIk0RdJ8Zu1/bz/7lauurON/2weNgtCJGBiQOX9iyu4810T+d0lzbz7yErs0uHja9FodFyCb4ejaHq8IOzCxDpHID+RLKijKOAVqmNutzubGPfnjnsD0TTDobCplCWKtccbB1qbWwOa6XTaXMMJXjmWdcloC2cjkQjB4Ph0+pVRRhlvXQQCAWpqakY1diYSiQPyL1mWsSkSXzqllpnVdobjGl99qoteS7fvuTO9LKgfOdb0+3UD7BtMUOdR+fAxNQD8df0g7cEkbsUYJ4diabOYKT8emUqlSKfTdPQH+fIj+4kkNebXObjp7AZ+c0kzJ092o+lw39ZBPnJfO4/uDJPWdGyKlNOJCkay+ondIbPDMhqN4lE1vn1GHVUuhT0Dcb71dA+SzRj3W4aS3PBIJy1DqQJ+t2p/mD+u6yuwp7Hyn08cV81NZzdQ6VTYO5jkq092c+oUV87nLj2ikvWtw/zshT5W7Cvko4k0NPtVPjRCEUIwoZfklGNFWodr7umgO2JsUJHh5Ckejm5y4rOXnkMTeUsTqxz7vkyS1FaEJrkzPHNDZ8z0Fx8Jp001EuOrW6NomuFdDrCtN8EJGeuo+1415tRrllQyv+7AhW6vRwXI8YoxjiYZW+dV+cZpddx4Ug0Bh8z+oSQ3PtrJr9f2E0mOfj8+fHSlye1vWml0jbdmtnXHxiE0HZZN8fCLC5uYV2s00Il1m+B/ggOKRHIx3iUS3iNdN1P1MtPQ879KFotxTVhCWhsBBaceDQ5UbCmQTqeJRqOEw+EDfvbNiNfvKqqMMt4kUFWVadOmjSqhpmnaAT833h2OBzuhj7pjNCOLbq3aHE1FvZiMPB4Pv3q+C6CAWO7pi5jdR8KjoxgZEBNksX1WVbUgWRVJavzqBeM3r5gfoCnTmfKO+QEqnQrtwRT3Z3xydF1H19LMqpD48FF+/nRZMz88u57L51dS7c4eY8twihseauHC2/fx1cdajf1SMCc50YUv/NXFpByORPjhMx30hNM4MoTh1he6TSkpsQ9iMaAoCilN44FXh/juM4b/zzmzAsyqNibFYhKFiUQCSZLY0Z9lohfO8hZ+8DWEkO45mET04eygGC9PoNdrxzgYwTaPx2N2+oTDYXMRKCwfrMU04tkTBTTW5Lg4zvxHTywshaqE9Tl2u92HXNww1vMrioBE5zlkrSPEmJW/TyOpUBRDMpmks7NzTPtVRhlllJEPn8/H1KlTD/g5SZK47rhKGn0q3eE0P32+r7AzY8AYyytdxvhW61Y4cZKbRp9KOKnz9J7cBfLpmcDScFxjW2+2KCiW0tjYZczbRzcdfBBhUaOLX17YxEWzjULEx3aG+PgD7axtywY8hfWO6DwX/x0IgUy3bzglmVKPiZRmzuvRaNQc763BlfziUbvdTiqVMmXnrLDZbBxZp/LDcxrI2HezvS/Bxo5wUb4tyzKP7Aiaftpza+xcfWSASUW8+jZ0Rvn68mwiemZNdntH1DpyktEDMc0Muor/17qNZPm6tjBfeaKLJ3Zmk9NXLgwwty573XRdN1t3p1UVLxbb2Rdna0+hT+jcGjv/fMfEgtcjSaPrR5YMqf7tme6of24cNL3Hi8Fnl7jtoiaWTfOV/IxAseKzzmCSX6zq4/K/buN9d7dx/7agWQQiSzCt0sZHj6nkrndN5LaLmnn7vABONUtadF0/rInn8Qisvp4T47qum5YGosDUqgIhEsmy2TEumUWHYi3UFjQSKtbuOyUjvdmfuZaCx2maht1ux+l04vV6cblchyxNOdbvptO5yZpUKmUqflglNfPXwm63e0zrjP7+/nJyvIwyyjhkNDQ0UFtbO6rPHijxJsZLl03mG6fV0exT6Qmn+fpT3aZMuCxJXHd8tRnbKgYd+OJjXSCrnDnVycIGowP9lhf6zI7xYgWfVsSTab6/ooeuUIoGr8qXTqnFpkjUelS+cHIt3zuznikVNoJxjV+s6uVzj3azsU+jK9OB7FIlPBnC+Ju1Azy2M2tNpOs6k6o9/PjCyXjtMlt74nzt0X08s72XT967j/bhBBUO2UxkH5HhWKOxK3yhJcKEgI3vnllHhVNhZ1+cv748iNsSinhgaz9feKyrwK/9/Bkezp7hRZZgXXuMW9f0m+9dtTDA9EqDX45mVptf7+SLyxpo8o09LpPSjO7sF9tjBEdQAhoJbZnGKFcRvfg6r3Ei/7lxcFTbmlFlZ4JfJZHWeaElwsKMnPrGrhhHWdYtJ092cXFmDXKgePXBqrcczgYZ0fT0WkGSJE6d6uG2i5s4Y5oHHXhgW5CP39/OmtbRxclUWeaqhQEA9gwm+c2aPj79UAc7+hJ47DKfX1rDDUtrTC/5ZDKJqqrm/0VznTWRbI0F2mw2M26XTqdzbEdHQiwWIxaLmYpnDofDzGccanPPWGOV1kZAUWwu1ImtzT3We1Go8Y4Fra2tb8lGntfvKqqMMt5kmDBhAk1NTdTU1Iw4ecZisRyv3Hyoqlq0w9f6fjFUVlaaSUa3243NZjOlkg8GYw3CCPl0ayDE6XQWDQiJYGM6nSYYDLI6M6kePzE38NkZ1nMSWsK3xXp+hXd4KpUySYgkSWZXdjHvlH9sGKQvmqbJb+Pt8wLZbdlkw6cbg4QNZORHrbI1iiwxr87Jx4+v4z/vmc0FswMFnjpiUbB7IMn5f3yV7z7ZQiyFKa9iDcL+a+MQq1qiqDJ8+dRafA6ZvYNJs6LRPL+axgPbhvnwXbu57B8t/PrFQQZixu+s3DVEIpHA5XIVBMWt1+feLYPm33Pqxk/uuhgEmRkJorPX4XC8pgRvJOR7Qh4sXq8d4wLhcBiPx1NUDULXdTRNQ1EUXC4X0Wg0h0DF43EzoSAKMUYaLVKplNnVB5jPq+gKtEraWi0TREI+H+MVILZaRwiZXtHprijKQV3DgYEBhoeHD/zBMsooo4wRYLPZmDZtGlVVVSP6Q3rtMl8/cwI2RWJtW5Q7N+eOP/sziXF3JlI3pdKOLElcMMsICj2wLZjDN4UUIcCz7WnTemfHkGFxU+dRaTxEhUCXTeYjx1Txg7PrafSp9EXSfHN5Nz99vjcnCCqsNMR/wiOu2BzgdDrxZQIqg9EkjkziM5E2zqXwmIPcKn3hN5yPZDJJOp02Aw6CV6ZSKXRdp9KpIIR+YimdLz/eyWOv9hZs658bBnkpE9SscMr86NxGJgXs9GS8kwNOmaObnNS4Czn/jt64Gdjc2hPnkyfU8bvLJzO72m4mGa3oiRjdUo680+NQJSYHbDn8MCeQMsaA3/6hJGqxHQCObHByauYe+s/mIdqGEjy4PVT0swJLmtw0+w/MAV0ul9ndv28wwY+f6+Gq/7TwoXvbeXRniMEMJ1YkmFvr5PoTqrnnyoncckETF872Y1dLc4fDaYUyHt7gr3dJbV3XSSaTJmfMRzqdNnminLEuEIilNLozXf3Nfpt5z1e6jGvSEylUdBC8TRRgCmlKkTC38kprcU0pfj8e51fYf4lji8fjpNNpHA4HLpdrzMWWAm1tbSP6aJZRRhlljAaVlZVMnTqVqqqqEbskhRR0qcSQKCaz2+0EnArfOqOeKpfCvsEk3366m6RmjKmNPhvvzVj+lEIwofHVx9szifQqnKrEpu44L3cavGmkTmFd1/nlC91s6o7jskl8dVktgTyrwIUNTn5+fiMfOaYSj11mZ1+MLz3cwmDM4Jp+p8JZs4xYoA7csqqPOzcbSjtC5bHOkeYbp9dhl41E9Def7iGS1JhR7SCe1tGBM6d7uOHEKhSpsEO6GP65cYiV+yJMrXbxnTPr8DtkdvQlsE53uwaKx9GuPbaa646v5jcXN3FUY+513NYTpzuT9J/gz8aMS7Gfrd0x7tw4wDHNTnPuvXCWl1r36GItigRLGp0c3eRiWpWDEWhW0US9phsFjBX5xBU4ssHFpu4YG7riRTlvwfYliWVTs3Lqps94Z4z7tg6Znztpksec80fD/SKRSIHq1IFwuBOP/4u4qd+hcP2JNXznjDoavCq9kTTferqHH67sMWPmI+Ht8wJmwcv920PE0zqLGpzcemFjztpTwJrcLnY+xWui4NDKtXVdJ5VKjTq5LRTP4vF4TnOPSJiXilWO1OwzHk1SqVQqx9YnkUig67qZ63G5XGNu6komk7S3tx/yvr3RcHj0Zssoo4wCiCojgKqqKjOoJpJCfX192O126urqCAQCJJNJZFkmmUyafheqqqJpGg6Hw5wMUqkUyWTS/L/H40HTNHPAj0ajaJpGfX09AKFQCL/fb/7u3r17x3wsouNbURTzd0azKM+ftGKxGKqqmoUAmqYhSZJ5zAAPbA+ZlZYfO76elfv2mN/f2x9Fmu7OmViELKHD4TCDEPnQdb0kIdkzkDCTzp88oZ5Kv5dwOIyqqqRSKU6f5uHBbUF29Cf42yuD3HBKo9kta4WiKKTTaT5xXBWfPaWRaDTKQzvD/GvDAH2R7G/HUjpP7Q7z1O7dKJLhe/SZE2uYWu1mdWuUv28wiNrHj61mSZOLjx7fwI+eaefvGwY5fqKTF9tjPLYjxN6hZFFfPgDxc9ZEZbEYz9YxesIcLERn/GgTi4LIiCKH/zVkWTalV0UhhiDQxYJnyWTSTKhrmjamY/9f4kCEzW63l7RREN182ftt7EHF0Y4rdrsdVVVN+4dSyhEHixxp+AwZhoNf1AwNDeH3+8dl38ooo4y3JkTC1u02OFBVVZUpG5lKpQgGg4RCIXw+H8tm1PMd2ccX7trI7a8McsoREzl+WhWKohDatBUYxGa3AzGOmdnEzJlTuaYhyu2vvMDewSSDtmoWTjK4ZVNTkrqne+kOJXl8ez/fuGguTruNf+/cCcBJ0yvHPN5LkoTL5TIDS6b3eJ2TX1zQyN9fGeKercM8tTvM+vYYHz+uihMmFvq/iY4Bt9uNpmk5liyxWIxApis+GE+jSBlPurRR5CU4df64LsZ80d0pSVJRmbl8Xrm2LYqO0Y1c61FZ3Rrlhyt76YtJXDE/QDqdZn17lNszHE+V4dcXNvLXlwf49yajeGF+nYMvnlJLRSaQa3O4+Njde9g9YAnuWP7/45VdOFWJBfVO3nZEgP9szgb6BF7JdPVLlu/GUzrfX9nLlAob75gf4KRJ7kyHhHEdh6JjS7qFS/hIApw61cPsajvL94R5oSXKhs5Cji72721H+LlzyzDPt0QIxdNFfSMF3G43r7QMcOemIdZ3xgq8LG2yIZt54WwfJ050mTxOVdWi64R8HM6ObFFcK7qKrQpXxZ4lsbYRHoTxePx13TEuIJSxSsG433QSyRSQDeqKjrGAQ6bSnQ1iVrkUeiNps/u/GIQSm+Cqo7G+kSQJh8OBLMtmMPRw4lC3n0qlCIfDBAKBA3+4jDLKKKMExJzo8XjMJItYi6dSKfr6+tA0jerqarPRJ5FIoCgK4XDYLJgXMQ+hBjJX1/lTQzNX/2kdm7vj3PJikFuvXIyWTvGx5hSr2l9hY0fpArn1HVHu2TrMpXP9vG9xBb9ZO8C9Ww2eFEpopDUdJS8zarfbuXfrMA9vH0aW4CvLGplSaS9uuShLXDTbz9JJbm54tMu0VwHoCqWoy0xb1W6VvkiKP68fJJySeO9C3Sx2nFFlZ3Gzh9UtBj9s8qkE42miKZ2FDS4W1Dn53COdOfLpnzmpnmMmevnD2m6e2pXf8AI/XNnDU7tDvH2en8WNTp7ZWxgDkwCnKhPNBEtdKmZhYoPX6I62Yp2lu7zNYlNZKmqS1g11oJ192Xnq4R0hvntmHVVeF9f+d1+Jb2a/v64jhtcu883TatnUp/GnF3vw2KQCrliKOfodMj6HAuRy0fNnerht7SAAc2ocbBlFHHPZFA+3vzLEK50xPnFcFTbZUFgaiGmosnHen9sf4eQp3hHjXAXHmZGhdjqdpNPpAyYjD3diPBaL5dh1WuOUxXilpmlmgbCqqofESwzlr0b+scFYu63cF+GljhgfPKqSs6Z7Sq4Rn98fIWWRNj11ipvPnVSDPMKaUhQYlkIp2yvAzDuMFdFo1OzEHi1HVBTF7OZOpVJmAvtwQRzzwSqdhsNhs0nprYK3zpGWUcbrCMIHw4rq6mpsNps5QIv3hURGPkRwQXR+l0L+Qln8PVLX+YEgEsHWAd3j8RCJREompURiOR+lEl9ut5t0Os1lC2rpj6YNCaRAbtVjeyhd9LeswVEhSz4aAqLpOr9a04+mG544C2sNou90Ok3fc1mWufaYKm58tJPHd4Y4f2aQGdW5gR6Xy2V2GlklTc6f4eH8GR4e3h7k1jX9uG0ysZRmJg/TOrzam+Cj9xlVWmKqvuSICi5dWIeu65zQlKbBq9AZSvPhezsKjqHBZ2PZZBeP7Ayb1a4A7/jnPv79rskjdv4MZD5vVyTzmA8HksnkQXXcCkn+AwUyD7dM+WhJshV2u91Miouiidc7hBRTKVIlZGdLEU6rjNFoKnnFd8aKRCKRE+x0Op3j2j2jaZqZfBLJ90NJvHu9/1ubgjLKKOPNBSHRa0VVVVVOIuodR09k7d4B7lzXyhfv28aD151MvddpdowHY8aYObfRj8PhoMnh4NLFzfxzbQt/X9PKCVcdZW77bUsmctszuwnHjeTustlelm8zJL5PmVENjG2OFEWg+XONwYMTfOjoKk6a5OZnL/TSOpziu8/0cMpkN9ef2kwx9ltqThId48GEjqQZx5vSIJFMmeN7qQSjCHwI248DFekJ+cATJrp554IK/vJKkLs29fP7tT3sH4zxnsWV/N8TWWuN759Zx09WDbA2871L5vj4wFGVZoBT/GZ3xnxx6WQvH1gc4IFtw6xti9KaCXDGUjpr26I50vOnTXbREkqzsy87T4qZVpag3qvSF06xdzDJTc/20uxTecf8gDkfj5R4tMImY0rCP7mzUBnFJkucONGNxy5z4kQ3z7dEiibR3TaJH59dz8QKO2vbo+wbTLJ8b5iLZhcWlG3sinL3lmE2dcUL5NgdisQRdQ4umePn6ObCdZQI9gvOMBJvONyJ54Phlda1yeu9Y1xABGiLcT1xBHLe2rR1KOMvHrBZ1lQ6VZmO8d5w6eumKMqYz22xourxPr/pdNrklYeafLfZbP8zD8wyyijjzQmR5LaiqqoKXddzkiVi7KmoqDBfE+9b580jp9Ty+/cdw3v+uIbl2/v59sPb+d5lC/BKEjdfuYRzfraCtKabRXuKRE4S+Q/rBljU4OSCWT6e2xdhU7cxZupAOKnhzyuce6kjxm2rDFvEDyyuZFG9IaUsFCTz1/G6rnP7K0N0hVKoMjT6VFqGjLnlXxmlpVA8zfsXV/Dn9YP8Z+MAA5Eknz5BJiXZ+ObyNl7uyM417Rn7jyqXykAkyc0v9GXPbebYookE1U64cWktrUMJ017Ginw+Z4VdgZMneXjSYnk0qcLgqLFYjJfawuZ5AvjYMZU8sSvMjn6DC4ozMDFgpyeUQIQNz5ru4fFdYSTgzBkBNndH6BhOmrwxrcMXH+/GY5E3/9CSan6/LnuM+QglND73aJfJw0el457BcFwrUN8ESMhOXu6MoUhwyhT3qBLjDT4bc2sdbO2J80JLlHqvavLnDyyu5HfrBljdGiUcT+NyjT1OHovFzMLlkdYJh7tBptg9fiBYk+KCnxwsnKrMNUdVcuoUD7es6mNXf4JbVvXx9J4QnziuOkcFKpzQ+O2L/Ty527iPRYHCi21Rw9JpBP4lCktL8bxoNDri+wfDvQ6mUUsUTgiIwsvxhIiRa5o2quKMkVBKfe3NjLfW0ZZRxusY+Z4QrwWsFWRjQTEvdFEpWqqyaKxJeDFhpJNxPnpCI984e1LBvrYMjlz5L3wohXzegfDU7jBbe+I4VYkPZiTTATNAEo/HiUajHD2lijNn+NGB3744UEAcRIWt6Pq3vm+324llgncnTPbywHumcvd7Z3JMs5N8myXxrXu3DHLuH7Zy+d+287Y7WukM5QYpG7wq75rv59/vmMgfL5vA1YsqieTpNNkVMtW72X2RJAmbzWbKrYivVLnkw+pPcyhEQEjNC/mqYng9Jp2FVyJwyJ40I8Hlco3bdUun0wfclihAKYZkMmkuukaTGLfb7YetGONQIAptotEosVjskAOQbW1tdHR0vK595ssoo4w3NkTXo/Xvb18ynzkNPnpDCT75j5dIpjX29hqBiI4hY+yd25hNPr7nhMkAPLKpk+7h7Nh8wcIm8993rmtlT2+Y/f0R7IrMCdNKy7qPtK/JZNKcbwS/TCQSZnHonFoHt1zQxNvn+ZElWLEvwgf+vZuV+8KjHksr3NmOcb83O2+lkfF4PCiKMuIcZLfbTduPkTpf4ynN9HxcOi2A3abygUU+PnZMFbIEj+0I8t5/7zc53nuODHBzJinuUCQ+d1I1Hz66ykyKO51OIpEIveGUacVz7gw39V6VDy6p4q/vmsmd75xQ0gt8+b6omRTPl7HUdOgIpkhoYJeN5HZbMMXNL/TRMlQ8qHJEbfE5cGaV3Qws3Le9sKv+uEkePJmgqEjwF27bwd/eNoFJlUay99wZRiHZoztC5nVe0xrhK090cvkd+/nS492sbYuZSXGXKnFss4sfnlXPXVdO4ttn1BdNilsh7J1G8ql/PSaexb0q5BwPF0Y6L2NFNBotyYEFT0yltZznq3U4kxj323Kug5BSH6lwYzysj2D8g9hiHIlGo8Tj8UNaFySTSXbt2lX2Gi+jjDIOK0aK840Gx02r5hdXLkaW4I41Ldz8+HYAZtR5ufr4SQA5yVe7JTCmA196vItUWue6E3K9yYN5cuotQ0m+/UQbmm5ImF8612cWkoku0fz4xu2vDPHozhCyBJ9fWsutFzaxINMqPpTZfjytMzlg4/oTqpEleGJXiP97ootP3LOXlzuiOFWJb53VzOya7LzTH03RYunMPqbZxYeWVAJwx4YhkhjNEp85IcudvUWSwMWQSMNTe3K51pENDrOR5I5N2TnBY5e4Z2vQTIrnnq9sUhwMlcpl07zoQFswwZ+vmMqD75/JJ46tZFql3cxph5PZ8/6X9X3UFrH8yUcww2HDFs9xn73weKst29J0aA0WFsD9aY1RXHrGNO+o7HYETsvIqT+6I2gWMEwK2Lh4jo9mX9aDPBKJHNTcrOs6kUjkgEVrrxebSIF0Om0mig8lqWrF9Co7Pz23gWuOqsShSGzoivPJB9q5Z5vRHb6pK8anHmznyd1hZAneMd/Pt06vAwz1qX9tOrD9oLA6LAXBO0vFjcfKE8fj3GiaNu4WOMJWTOQ+DgXDw8Ps2bNn3O6DNwLKifEyyngLYzQDp9vtNv3YSsHpdOJ2u01pEOHzaMVYgzaiu1bsZzQaLZCv7AolCySCINvRI74vpOVH2odQQuNPLw0AcNXCADWeXOL/ckeUh3aEcLvdhMNhrl7gw6lKbOmJs3KfUTVms9kKpDhFwEqWZWw2m3FcGR7pVI3kv88m8eVT6qj1lCZIiTQMxTRzwSDWAzVuhd9ePoUPHteA15mt0LVwVa5f2sDd75tLPB7PkSnSdR2bzUY0Gs2Z+ObVOrOdvocp2HaoE7bwlC8WsHs9JsatGI2U48FCkqRxlb0ZqZJSBCij0WjR+8TwWs18dhS/NV4enm+ECse+vj727t1b9oUso4wyXjO47Aq3Xb0En0Nl7d4BvvPgFvrCxnwUT2k4VJkp1dk5dV5TgCWTK0lpOnesabG87qfOZwQSHtvSySObjeDUsVOrkNIHnt8EZxRBIcEHxByQTqdN3il8xB0OBx6nnfcvruQn5zYwpcLGYCzND1f28v0VvaPyr3NIBjHSdAiGsnxyKBQ2eWIpbpLvEyc6KophQ2eMeFqn1qMywZNVRrpgto+vLTMCPuJXFjW6+PfmYdqHk9R7FG65ZDKnTc2qighuDXD/NiPIqchw0owaICsTGPC6uem8CTkFltMqC7lAKi+/Z52bExo53LEIvQbg/05vYmplIV/tiabNYOb+IoWrp0wyfPe+8ngnO/sLgy3vXRTgpnMaTP93MAKYdkVi72CS6x7s4NJ/7ONbT/fwSmfc5P8em8TSSW5+fdkU/vOuSXzttDrm1Y+tgE0EMosper3eMdJ9Ox4Q3uDjhVJcT8hlptO58pbWxHg6nS7wGO8t4jEuMF7Flq93+yNN09i3bx89PT3lossyyijjdYtz5jXwnUsXAHDLUzv56wt7Afi/8+diyxCYKo8xByfSek6yIpjQ+NbT3TT5bLzH4k3eHtKw2+243W5Cmc+Ekxrz6hx88rga055EWPaIbkoxr92/bZh/bRLWhVWcOMmNLEmclSnMq3Rl9+I7z/TQHkxy49IaVBle6YzSHkxR7Va46ZwGXtg7xLa8zm/ByxY1OPnSKbWcN8tHs9/GcFzjHy8ZakvVLpVAxkc7ZFHS8RRJkk8KZLld/mh/5jQvHo+HF/YOsbkr26EaTuh0hFJYmryZElA5tjmXK3nsEmFN5f2LAkacsyvKI6/243LYOG+Wn19e1MwD75nCd8+sY35DlhckNejJK1IbbcO14HJ2y76FE7lzbvtw7jxvkwxVAFmCq4+qyelePxCWTnYjYxSBCtXOobix71YPcji0okjRoCXuu3y8nuNV42n7qMgSlx/h59YLG1nc6CSpwe/X9vC+u1r50uNddIfT1HtVfnBWPe9dVMnCBhczMoW+/940RCJ/4VJkX0sVGYhzbPUjL9i/McQfnU7nuCSL8xvnXo+IRqPs2rXrdWFj+lrg9fs0llFGGYcdo5nsE4kEsVjM9CqxBkdkWTbleqzyINaKs4PFgSZjm2wEN7sjRmeBy+Uyk/jFfjuZTI4Y7Lp9wzBDcS1TMZgr17hyX5j/e7KbX63u46VWwwOpxqPy9nnG5/60foBYKuv9LiDLspkoFwFeXdeJZQigQhqPx0M8HufZtgSdoWROdexIEAHL3kiaq/+5m5f2D5meiZqm5RDlnojxu5Ikma9LGAUEoqp0o0X+6YJZnlGdMyvcbveYKu7GIwkqvD/zA5mv98T44STCuq6bHkfjgVLPofD0Ftex2OesHuMj+QPBwcldvtERDofZtWvX67JLvowyynhzYmqNhx9dsRCAvzxveAP6MkV1s+p9qEru/PTeTNf4P9bsI5k2xnlJkrhoYSMAybTOPevbAFg2u/aAvNLhcBCLxYhEImZgUszfmqaZlkKSJBWMjSIYMbPawc3nNfLeo6pRJHi+JcLH729n+e5QyUCDoigoaDhVY/9CSd3snk6kjHlTdBWILg/h4W6z2YhEIgXzXCnFlNWtxlx24mRfwfl4ane2g0eRjKLLeEpncaOTm89vpNmdLfgTfE4kxle1GMGJKZUOdF3H4XCYikjxeJwvP9qWk8zePZAbSDx7hjcrY5nBwYRlbKSYU1t43D2Z4BbkJtgBXDaJo5td3HD/btPn3IpvnVbLO+ZXmH9L/8/ed4e5UV5fn2maUV1t7+64YRvbmGaD6SW0BJIAKbTkSyWNAKmkh5BGCoH0/EISCISQ0HszGLAN7sbd3t6rdlVH074/RvfVSKsttnfXS9B5Hj+2d1VGM6N5z5x77zmCgDVNSXz7pS5oqQ9VH9JYYT8g8zh7lhe/v6QS/7pyGr62uhRzS4+8eEvRLB6PJ+PYTXUBa6JAbg4TPZUOUMa4feyd3/1mh5W6cxuKFLJSz835PR7PuAm7E10YHy9Hgs7OTrS0tEz5Qn4eeeTx7sWHT5qGL587FwDwncd24snt7ZBEAecfWwEA6IsmEfSkCl1Zl8atHSoe3T2IS+b5GZ/757Z+qKqKwUgUt7/ajfawjgq/hG+dVQmRT7vuAJkRjhzHYW1jFH98yx6M+ciSArxnbloDXFhq61ph1cSZM2zOY1jAv94exF3re2E4LrMiB/zi9R48vd/WCXnOzhmn50wPuvCD82sR9HsR8Hlxbaqw/5+3+/Gb9T247r8tbDLdidlFQwt+TQN6RhOksyY8q8yPNw724Gev9WQ8pyog4bMnFmGew/HnxlWlWJDlABRNWrj2wTo8tCuK9y6w4zf/urkf3aEIZFmGaZpQFAUnTCvABxYXAwDmFEq47NhClGUNFVG/qjyK5JeqSWN+WZrDJfSRORctmWfN9KLEzSHoceiVwzyVeL1X4uFLNSF4JQ6SwGEgYaJ5QGPT5Ns7E+iNjRyxM1aQvnWkQ2OTjfHmERV+Cd8/qwwfX1ECnrOdGCzY0/o/O68cC8vS5+JXT7ObfzUT+P1bfaO+9nAciu4pRVHMqTO6XK6jMqQyXsNAw2G87ll0XUd9fT36+kY/Bu90TO1vYx555DGhGO2iKQhCxmKhaRqzfQPSoh11YdKCnys/mjJXxoKx5FsXpFhWY3+CWZyTfchwSCQSOUXMvT0qntyT6hQ9KW1fSVhW6Wbk+2vPNCOUtP992YIAyrwCuqMGHtsXRyQSYR2rbreb5buQdZMk2flGakrZc0u8bbtuWrh3s01gy3yZBLjSL+LqpUV44rp5+N3FFTi2bKjl+mDSxFef78QF9xzEVfcfxCM7Qxm/b+2Ps4yVj68oxOnTPfjIkgKIoghBECBJEp48kBZrneKic585xWJnEZyyVpLJ5JgLsuNJBrOFzPG0fRxPiKIIWZYn1DqJCgfj1Rww3FQ+fb+dWZHOawBgkykz9TtFkVnjSi6Ml93lOw2apqGurg6Dg6NbReWRRx55jAcuWFSJ/3fqTPZ/d6pCvKDSn+OxFSjxudA5qOL5XZ3s5+9ZXMn+vb/TFgLPmFc26ntniwFUkAbACuIA2JpORfPs50kCh2uPL8UvL6zE7EIXwkkTd7zRi++v6c45QepyuWBZFvwpMSysmmw6KWmmuTDF4FDxngr4QG4HlWyrRdOy8GYqD/Kk2sy184k9A3i10dFEmnrbK5cU4rtnlrGMzFgsxppQadrE5XKhLWJ/rjNnBRjXJW59xxt9LJ/yhKrc6+wFc4N45Nq5+OeHZuEbZ1ZiYal8KDGPDFf/uwkv1eVes4bLeFw1zYMfrunC5vbM37tSh3VHrwHD4vDo7kF8/ok2XPL3Ovz81Xbs601maJznzvbiL++rxj8/WIsbV5agpsCx78dRxIvFYuzeZqqC7GAVRZmwwj2d29TgOx6IxWI5X4vuCpyfRVbczOp0ZnFmTmR5oX1shrNSH08LyHeSu8/AwADq6uom1J0qjzzyyONI8Pmz5uDqk6fDsoAb/7UVbxzowQdX1LLfm4YJjrOHYGQxk6n8eVM/mgc0zCq016f9vSqeOxDBH97qw7aOBNwih1tXl6DQLbJGfkmShmgabzWHccfrPbAAXDTXj6sWF2SsTeU+EYWKAN20i3oAUOkT4BY5RDULFuzCqsgBnVEDDSF7zaktEHH7OeVQHcXd9sEk9nWGGa8sVHgEZB5JE3j2QBRx3UJtQBqi8W3vTGZE4JDtuLMJkhoRBQ74fw/V4ZsvdLHYHQCYX+LC7y+pxOVLK7C32+aOQUUAJ7rwj22hjPebFnTBsIAn9oTwn7dD8Eoc+uMG7ks1H9ixjAYEQUD3gN1sUOJz4TMnleBfH52Lv15WhWyoY5SktnfY6/uM4Og6WdK0mw8+uKgApmki4E4/hxPEIZqUsyn3/p1RDKaaEFwih4Wl9nm0vVNFhV/C/BIZpgW82hAbNz2NhnlIB8x2GJ0qEASBDZyN9/aZloVH94Tx9y29MK10Q0fTgIabn+2wM8VTqPRLOD51L/NCXTTjfM4FwzCG1ZadnJKG/OheUxRF5nbrbIjOBUmSxm2Y5Z1SGKfXamtrQ1tb2/90k3C+MJ5HHu9ijHZxG2lamAqhiUQCLpeLFaUp1zL7tS3LGrOoMpYCOtkatQ7mFiuGE0RI7CIYpoXfvtkHC8DZs7xYlOpWc1pm+lw8fnJuOTjOtqH83GPNSOomfG4Znz65HADwwLZe9Kv2okkNBABYJjHP82wqlrogfYoLoijipboIOiM6Ct0CfnPpNFYMf/zaufjLZbX4+MmVgJ5AbVDGne+dgUc/Mh0PXVWNs2Z4hmQ398VN/HnLQMbPeuJ2dmI8HsfZM3245bRSXHdSFaLRKMtP3psSM3PteeqydYrFZCNKNp6AfYxJxB0NE5HXSMd2qmVByrLMmkwoV3AiwPM8E+80TRu3BoFc22uaJmusIHAcB13X2XlhNwDYx0JLquwakYsMjufU9ERPyoz365umiaamJnR1df1PE8488shj6uCr75mPqqDNd/piNl+aXxEY8jhZFHDVCXb2I1leAsDyaYXM7tICUFmgYHapd9Rr2Ei/V1WVNboRN3Haq2cjHo9jTrGCO95TgWuWBiHywFutcdzweBueO5A5PU5F7UCqEjuomnClCJQzkme46zuJqrngXNMO9iXRFzfglngsKEr//ECvit9vDGW+Jg98++wqXL0kAK/H5k1ut5txRafV/NqGKIsmuWCOnYdOsUX3benDy6lJ9NlFMrZ15l5P32yxuVtQsnDOMUH89PwK/OMDtZg9TDb5cEiYyBB8nTCHObyN/Ulsbs/crrnFEm5eZU+FPLS9D++9rwF/2tSP+pDGXqfEI+CyBQWoTE1ezSuR2VR6NsZbxDMMgznwTDUB0+PxwLIsxssnynHHeW5TZuZ4IBdPJ2chXkgf36aeMJKGBUngUB10w+v1skkxL2cfk/6EwVwFCONldwlMjuXleE+OJRIJHDx4cEgEWR555JHHVADHcfjupcfiwsUVSBomPvmPTQgoIryMoxmYU2Zbmau6lWGzTXnjzhzqP7zVh6f3R8ABuPnUEswodEHTNKa9UFGLGrPqQwa++3wrdBM4dZoHn1xROGRd4jgOC1I544nUUEtHxEA8xX842DnITjokcMDHlxfiF+t60Rs3MC3owuJyGUkT+M6LnXhk1wBueqYdtzzXyYqzAPD5k4rw20sqsXp6pobmlTicNi2t59x2TgWOLc3N2QwLaAhpTMujfoLrTygHz3F4aEsHK6IvKpPxwxdbh3C2r55egZ+/pwpLqzzQLfvzAcBje8LY0Zlg3NMwDER1+w0KFFvjTCQS8GeNh1+5KIDjqxS4xbFrc9RgMBpOn+Fl2eKSlX5ONJFkA1MulwuyLDN97PWmKB7Y1ms/RwD64ybKU5Pu21PcmabGX2kcf71OVVVm/T2V8ps5jmPFeho4G0+9qzuq49YXOvHnTf3QDAsnVLvxf5fV4EfnV6PMK6ArauC7L3fhZ691I5QKvL9pZTH4VHPMz1/rHvH1NU3LOWRD7rbEXen+ioZ1LMtiTQDOhuhcGup4DjZNtFuAaZrjrof39fX9T8dA5gvjeeTxLsZo3eTZF1SyBqeOKurGo2KYKIpMrMmFsQoLw13InQSiNEViyGIveztHIhvOAv1T+8M42JeE18Xj+uWFEAQBbrcbuq5nbMfi2kJ89XS7CzKUMHDrS93QdR0nVkpYXK4gaVj4y6Y+JJPJITnPJKjxPJ+aGLf3g8hZSOoG/rXDnry5YnEhCtwS7r1qDq5c5IdgaeB5PmMSncQvRRRx8+py/N/7qhnZ9OTIIQKAHR0JnPun3bj56TY0h9SMbSKEEqnOyRSfJcHVSSayEYvFcopx8XgcXq932AI5z/MTJuIZhoFoNApZlo/qFDIRMTqXJkNUzW5kicfjE5rbTeSZLPzJapMK4JZlsYlxEjxzdaAqijKu5Hui9zU1u4w3urq60NTUNOUE+DzyyON/D5LA47jqIABATylj83NMjAO27SXPAevr+rCv0y7A8jyHCxdXsMdUB+0O/NFidLJvqN1uN+OSXq+XrZs8z0NRFHAcB7fbPSx/VBQFIs/hikUF+PWFlZhb7EJUs3Dn+l58+6UudEXt9yMek54YN+BKcaeknplxngsjCSLxeJxxvjdTNurLKxU2ka5xIm56piPjORyAX10yDWfMtq0qSZxxvhbtH57n8dTeEAAgqPBQBHv6yTRNvHQghHtSjkMFMo+DfSqSqSVkSUUmB9vWHoXL5YJpmojH45BlGTUlAfz0vHKckJUzOa9k6OTSkWB/Vqa4yAEDCRM/etXedufRrfSJuHJRAA9cUYt7Lq/Bx48P4qJ59n56vi63UOl2uydMZEwkEszB4GhaX8py2nlnsjL/sr9348Upc3+f7Z+ZZtqFiO7xqvwiDN3OvKTT0ufi2MRRbzzzujKeguBET/YAmBCresMwUF9fj97e3nzTZR555DHlIPAcfnnlUpwyqxgRVccn/r4JK2YUArA50v7OCEr9tpaTNDOHN8JJE7tTQx1+FwcaKL12aRBnHFPMNCzilYZhQBRFcByH9oiOb73Qjrhu4bgKBTetKoGQapTM1k7ITv1AnwoO9irFAxD43I7dhgV87+VudEZ0VPpE3HHxNNy8qgSlXgERzcKfN4ewt8eeAr9gbgGWlNuv/1ZrHPX9Gt7uztRmLcvCW212wbbEIyCuGdiZeky1f2iTYKlXgAW78VK3gAqfiAVFHFTOhb9vSdsht0d0dEV1FLjSe1XggdklbiyrCeAXF0/Hj8+rxLHlNje0AHzj+U78Zm0LBhL2vuyL2dtR6HEhHo/bEUhWJlfe3J7A984qx7+vmoYvryzOsccOH5fMC7D7B49bYU1zThv2ZDIJVVVhGAaaBzT86g27KH7ZggDOTvHvwaT9+Lc7EzAtC6dO90Dg7IbWptDEOK9Eo1GmFR5N0PfE5XJNmMvMmvooPvdEG7Z3qpAFDp8/uRjfPqMUhW4BS0pF/PWKOXjfAj94DnilIYbPPNaGFw9G4JcFnD3LblLY2JZAe3hkjp+L91Gxm35HPMupVeq6PkTXy6VTv9OytifC8YpiIP8X4y/zhfE88ngXYzT7XrLRpoKboihsSpwWmVgsBl3X2WRPNBod9mKZSCQyBL/hQK9FxXaCU/co89qktXVw6CI5Wi42Lfz9cQP/2BoCYBPpqiI/Ewzp8xJhME0T58zx45JU/viurgTuXm8Lep89uQw8B6ypC2NXtz3xROQbsLu2LMtixT8i7145NS0etafF37uomO0nABkdjrnIiqIoqC3x4/oTbPtSnuNw7wdqUOkbKuIYFrC7J4nPPNGBS+5txDUP1uH1xvQkAXWQFntsCx06tmQjKklSxrkwGqLRKBO0s4/5WM6BI4WqqlBV9ajZYJJwGY/HhxQ6nefGeCJbVKPs0fFArkIwCW00SafrOjvHLcuyM1lT9ybOT6soyoQel8noZNQ0bUIE8nA4jLq6ulGLS3nkkUceR4qOcOYE796OcM7HVQXdOHeh7Y7zj3WN7OcXHJsujPdEbOEpEomM+J4kBNH1kxx2YrFYhouNaZpQVRWWZed/DyfYOK/304Mu/Oz8CnxseRAugcOW9gRueLwNT+0LI55IQJZlllsZdk6MpxaqI7mm01q7ocUWTk6scbNGy2v+Vc9sL5dV2mvfyuk+zC6U2PbTFAOAjFga4o+7Ou3fHVehsM+9pzOGH73cDgCQeC4jn7LSL6HQk8m1DvSqbD9algVVVaHrOhK6iZ1ZU+bTCj2YWTg+/CEXdMu2HnXCJQB/f381/vS+aly9tBA+x4jYmTPcEHlgb3cCbbGhzkCT4RQUi8WOaoGReHkuh52JiujJ5iLj1RiY636QHLCMlN1tPB5HS+oeryZgf1cy7i85DiWpczxiSBl8951WGDcMY8Kaedvb29HW1pbPHc8jjzymHGRRwB+uOR4LKwPoiajY0Wprk+RIlNSGv6enGI24oxBaFpAZpyR3S3I61HUdA0nglicaEUoYmF3kwjdXl7ImRrZNjmsxFcZ3dKZjXUwAhgksLHVhcaoB0engSI87d44XD27rw6cfb0O3g+/4XRzuvLASnz+pEJ85sRgcgPUtcdz4dDu6o0aGZhLTwWykz53txY9fS00788BPz6/A2XMynZ7ofXypgvd5c3zgOQ5/XN8BZ8rQwT67OF9bmP6ss4sU8FY6Ku/EGUHceekMfP3MKtYU8PDuMD58/wH8aUMnelPv5RHsv3VdR9dgpga8vzeJzoRtU/3InpHvDw4V/7clhFA4yo4vHUYdQ9fsWNLEba90Ia5bWFwu47plQZw2LXVsO+KQRQ6DqommkIYCRcDxVfZxXdMwca4rdL9ztLRKQRDY9ySb62UPeR0OwqqBn67txs9f70FUszCvxIU/XD4D58/xZXA0zkjikyeU4I4LKjCzUEI4aeKX63rxrRe7cPlCP2uA/OnanhHfL5f+5+TsTpdT+mzOWCri0ZIkMd3byf+meiZ8Nibq3KIYyIGBgdEf/A7CO+vo5pFHHuOK0W72KQ8lmUyyTBknnDlxzmnmkTDWQh2RBeriUhQFUYcuWpPK+mkd1IYIVaMJIrquw+124y+b+hHTLBxT7MJlS8qGiF7O4jDZxH9hVQXmldif4an9ETx/IIxaP4cLU9Msd6/rgmFaTOSgbCPKGrcsC/FUFVriOZYtfvmCAESYTLjINSGVa5LUNE2cP1PGrEIJkaSJ/9vcj2gybfFERF3KsqBqD+u4fW0PLr63ER96sJn9bmGZwsiR8/zQNC3jXBgLaH+apsk6Il0uF3RdnxRx8Whaqo9UnHW5XCwLfTwFt1xiKU2FjYbR9tVwgprH42G2t263O+NxkiSxiXG3kt4Gsv2kScHxFOucmecTifHM28zGZDkM5JFHHu9uNPRkCj4/fnoPdrblvtG95pQZAID/bm5BOGEXq0p8aT7X0BtDQ29sVOGA4kRM04TP5xtyrdN1nUWiiKI4Kq9MJpMZRUGB53D5wgL85iI7Qzuu23E5t77QicaeCLyivT7ETR5yKrhxLBPjo60r8Xgc3TEDdf0aeA5YUWU3BX7mv3UIp0TNU2rd6I3bn/fkGjnjWu98fcuymI23qqpoDqlM+H3vgiA8Hg86QjF8+akWmJbN9bQsP8xPnliCNxozRUjNREaepCAI6BmM4VOPtTPB9JzZ9tTG8/sH0DyQJt1Katcoh2CHORJ4DpgZlPCJ4wvxyEdmoiYgImkAL9XlFiELFAGnpDLbn9wTAsdxGfcfkzXJwfP8URHHRFEcMXKGbDDHUwQbzs0n21FrOIy0n8iKNePx9JIcz45ne9Q+r2tSdqkej4d1WloWUOazf97SF2X3duMtBE7W8R4rXz8cUJNRHnnkkcdUQ0CRcM/HTkBtkRt9KbGvN5pEbZEbAwkDNQG7iGUByGWOqJtAacpW/XcbetDnqABrmsbWBJ0T8c3nWtGRmub+7pll8LiGXt+dGs6enqGN6gGZx/fOKsOCUgU7OuIQeeD751Si3JfZoPb3rQP4944+xDULtQUSrlsaRImHRzhp4Rdv9CKaNOAWORS6U5FBFnBSjRsXzbUt5LM/aki10J/ikJ86oQgFioCTHW4/zmbC/oQFDsC5s33Y26Pi2f1DG1+vW1aIhv40z5tVKILneaZ50hDUuccU4Jrj7dgbkbcnsu/f1od1qUZQ2RGCHjGG8ui/vtmB1+sHUNdn78vTprszdEknxqqKuUUOb3fG8cv1/TBS/FdI8ZJIPJkxiW1aFn6xrgctgzqKPQK+elopBJ7DojIFxR4BUc1iluw7ulT7M88NAgBeqY8yLet/DSPxDVEUGac6HF6ytT2Ozz3ZjlcbY+A54CNLCvDT8yowrXCodmaaJhRFwTHFMn75nkpct8xubt7akcCXnurEsak4g/19SeztGX6qfbh7OBo0I0cuURQzeB39m4rlNPATi8UgiiJkWWaRqOOFyWpUnCgXAMuyJuy1jxbyhfE88ngXY7RcX+cCIAgCm4R2gqZSx3qBP5wb80QiYVsZOn5WWyizbB+yAT+U99jSGsWahig4AJ87uQRacijxzWXLyPM8fnxuOQpTKuGd6/vQEuNx3fEl8EocDvSqeLUlyXL/qDCsqioURYEgCFBTOUV7e2xbmKBbwOXHlcKyrIw/lN8O2Iu1qqrMUp2miziOg8BzuOEku+P0pboooqnCuyKmpyl+fmENHrmqGpctCGQQZwBMtAWAS+fZZJzE6VyC0KEcQ8qUphsT51TxRIHcBoDcVjgTDUmSRiUL1HRiGMYhTeIPh5HsyEc6XjS9x3EcJEkaVlB0dpKSbRV1XtLrk626y+ViU/HHlilYXC7DJaSLHCSoxuNxlpE5XtNOk+FGQJiI4rUgCJg5c+ZRt9bKI488/rcxENPQH0tznCKvC6pu4rP3bcZgYij3WTm7GLNLvYgmDTy8pRUAsHZ/b8Zj/ru5ZdTropNTEKdxgpqsyCp8LMglVlQHJNx+bjk+uaIQssBhe6eKG55oR3vYFjz7oiqk1NM40Z4MGK3wOBIsy8LWTnu/LSxzozzoxa/XtmFfr80FKnwirllaiKaQPaVzQrV9jWdOQg7OIAgC43oA8MjOfgB2g+PcYglJ3cTnn2xn2ehkm1mREmXPmuXDoGpBMyzIWZNQ92/rx3MH7IK5xgn45KOtbBrpS6eW40unFOH282vgkTiojkOZivxjBfiqwOGv2efP8eK/H6rFby6uwnsXBCByJj68rNT+rLsHGUce+jybn76wPwRLkKCq6qQVxWVZZlnjR2PydjSOaJomkskks4EdD9v34Z5PYulI20pNj263O+e2k/AIpDm7kHq/eDz9PWxKxT/VFIiMJ9IZ7Xa7Uea3X7snpjPHL47jJiRfcTIwEdPpPp8PM2bMmJTJ9zzyyCOPw0GZX8E/PnYSir3p9eKcBWXgALQM6ky70iy7OJuN284tx5xiGWHVwB82D2RoH/F4HJLsxndeaEd9v4agwuMHZ5exgnQ2kskkEpqJbz7fiT9u7Gc/96aq8qUeAf1xA//ZZU+333BSER7c3ofOiJYxOU44pljCry+swAcWFeC2cyoQkHkc6Evilmc7cMMTbeiLp8nWWTO9uOAYO9bIqd5UeHk8kypuzwxKjA8ZDj6Sa7+sqY/gd2/aXL3SYb1+yjQfVs0sYPwPAOYUuWBZdlQP6VMcxyGRSOCq44pR4Zegm8DqmX7MKpSYK+BfN/fj/u0hRJMmeh1TTDOD9pr9elMMv1lnZ0QLHHDmTB9zqnRSVJ4DvnKaXYAfrnAO2Bzg22eWQeSB1xoi+POWQViWxfZ9XDdZvjgAPLRzEOub7QaGb6wuRTCl4Qo8h9Nn2FbdeopPv92lQpZlLCsX4RY5dEYNZtk/3qC4yqNlSz1S/BDP+Fic3auNpelQ1U38cWMfbn2xC70xA9V+ET8/vwIfWhKEwHPD3mfFYjFIkgSR5/CBYwtw18WVWFKhQDUsbO1Q2bH92WvdY+K3FD3k8/mgqmm3LF3X4XK5GB+iYSX6rNQQQHyTHEhJJx0vTNYAjGEYE8L9KioqUFpaOu6vezSRL4znkce7FLQwkFU4FbqceY/UwQXYJJGK4IIgMJtsmhYda7bfkQgVYYdY65WAMp9N8Fqy7NRHE600w8KvXrPtJy+c68PcknRRUZZlJuSQDSbtp0QiAcMwEPB5cedFVZB4DhaALz3WAEnkWTfln9/sggbbktw0zYzFW9M0ln3zar1NcC9fEIAi8qwbzeVyMeJAz6W/qWBOohLP83C73ZhfquA9qQ5TsuwsdAsoTQmle7tiePSAir09iWELpR6Jw6yidCefpmk5BS3KWhwrNE1jU+ITLSjSeXs0LS9HK85mbxdN4ucCHV9n3rsgCEMtKEcgiLmOFwmRzPLcNJmlrSiKzO7cmT3kbMggm3hFURhRNE0TYdXEYMw+PzVNw3fOLMPt51bALxrsXHJeA6j5Y7R9NlaBdzKFv/HulBRFEbNmzZqwSfQ88sgjD0J9rz2Z606pT+9dWoXqoBuNvTHc/OC2nE48V588HQDw93WNsCwLL+/tynjMY9vaMtYNJ6+kNUUQBPA8D1mWoWkaizzhOI5xrmg0mnOidDgMxysEnsOl8wO46+JKLC6XoRoWNrfb3KozosOVUuTCMXVciquvNdicbkWVjOf39OKJfXYBWhY5/O2DM7C+1X7v5VVelARswcayLCiKwvaJLMus2VTXdXg8Hqxvto/VnGIFlmXhMw/XZ9imBxUeF84vQEdEg1/m8dmVFXh6jy3mBpSha+JdG3rxSn0E1/6rDoOp1/nkikJcPD8IQRCwrMqN37x3BhSRg0vgUO5Nv4aRetuBrEznSr+Ef36gGvMKh67llV4Ox1fa69rsQhduPqMGYtaavrJaQplXRChh4vmDuafGl1QoKPeJiGoWXtjTC0mSJjx2hM5JVVVHbSaeSIzGZ53fFWccQS6QRSR9P4lnZmOkz0uTNE6QcEoFegAsBoHureh9BUFg20HbS2UAl2M6qTlVGJ8WtB24nN/TZDIJcoElS10g7bozmog7FW0xx/u+xe/3Y9q0aVPys+aRRx55ODGjxIt7rj+RWZs/vq0dVy63Y3ycBedcvXN3r+/FV8+ogsgDrzdE8EarfY/ucrnACyK++1wjtrXH4JE4fP+sclT4cxe5DNPCswdj+PBDLdiWipihIi3lgTeENNy1wS42v2++Hw/vCmN7p71WmanC/QnVCvyyvdH7ezVc+59WbGqLoTog4RurSyFwQGNIQ1SzMKdQwoXH2Bre37eGUFMgYUYwc/v6ExYsy94P3z2ngmWntzuoayhhwiPxIGMfC8BfNodwoE+DInIIp/gezwFfOaMSGxozHaLmFLlsS/IU/6aYPFEUYWoqPnWCHfn4RmMY3zqnBgHZ3jEJ3cJ92wfw8Uda8UpdejL94vkFbDtojX7fAj8e25M7tkkROfz8ddtJUxtBLjxnpozF5QpuXlUCDsDju0P4964whNRxIp2V4zhsbovj3pRT0qdPKMK8kszp5zNm2oVxiubc0ZFALB6HIvJYOc3Wzl6uH187dVmWIUkSi6s8GuA4bsT3ztbrnbwuF2RZRmuMx5ef7WTH99KFQfz6okrMTe3zkYZ4gExOVuWXcNvZZbhldQV8Lp41YXREdDyxo5PdOzl5Jc/zUBQFsiwzd7JIJDJk8IecYCVJYo0fzs8xXHxprgHBkT7DSJhMZ8jxjlqqqqpCSUnJuL7mVECeJeeRx7sQpmli//79CIVCzCqcCl30hwqLqqrC6/UyWyGacqXcR7J8nCj7NydiybRg4JN5Zq2UnTM+WvH1kd2DaBm0c72vPi7IFidaSOPxuJ27mLJ8pnwisvbkeR6lfhd+fGEtONgE7Fdr2/G+Y4swLejCQMLE3zf3QNM0JnICYGTz+GovZhe60BfTEVQEXDwvwIru2UVSyvNLJpOMxNCi7HxdURTxiRPLM7pfddNEQ8q26Ldv9uGvG3uwqzuJqJa2Wi9UONatWeLJFFBJ4MqFQy1w02TwRE1wOEnm0bYLHI3sHMo+oAkYZ957ru/baIJtIpFgZI1ueIbbV85zn95XFEXWBJP9uoZhsI7L+7b24CP/bsGDWzpZkwfZMNE2Zhd+BUFgdvvUcJP9GOr8HA2TKf5RV/V4wePxIBwOo7+/H+FwGPF4HJqmZXzX8hmReeSRx3iAbNRpSnNpbRC/++hyuAQez+3qxJ/X1g95zuXH18DjEnCgK4KX93bhrYY+AOnienN/Apsb+3PySlpTiMM4m5icXJKEF1VVx3x9HU1YqvRLuO2ccnz2xCImcG5uS7ApHc04cs4Q00xsSymUM4IifvKaLe5xAH53cQU0TcNrDXah/OQaez0kXk022E77eJ7nYZomonEVnWH785023Y0fre1FvcP6ckahC18/swpP7bEnlz51Ujlium3/yXNDp24CMgfTAn72ei+z5Lx+WRBXLa+AqqrMMrBcMfHAh+fg0Y/OxGdXVma8hsjZbk1OoVoSOLzdpeJAaGiMTEfUYgLzJ08ph5qDr4g8h6uW2qLrf3YNQDeHHhOe49iU1DMHIocU7XM4oEbLozXN48RovPFQuAhFI9H3kz6j1+tljxlNwMx+z+yCeDbo3sr5vpRvSaBPGE/d90SSJnMEq/IJLIKHSz1SkiR239KXSJ8v1DxKwqkoiqyxlL0XxzERdTRMJu8aT7GU4zjIsoz+/n4MDAwgEomw6w5xf9M0j/o9Ux555JEHYXFNAW5732IAQE8kie5QBBU+EYOqyezSc2Fbp4oNjQO4YlE62jCUMKCqKu58vRPrmuOQBA63nl6GWUVDhz4sy8LrTVF8+vE2/GZdN3PkOWe2F19bbU9GNoR0eCUOhmUX56t8Ah7fG0bTgM3RPBKHqxYX4K+X1eA7Z5bjvg/U4tRUcTWcNPGdl7rx1ec6cMfrPXDSzplFLly7NIgCmUdrWMdzByKsYEtQU0+4anEQlQGFraMHu+01lNbPmgIJugUE5Uzyp+oWmw6fV6IgIAvY0JJer0Wew/Rger84Xf5oLV1R6cIJNV7oJnDX6+1IpKrXn1pRiOlBFyJJE1vb069Z4pdR5klvh8ABG9tVbO1Ic0Dnfohp1ogFccLKGfYxPnW6F585yS7Q/X1LP2uYoMJ4c18UP3u9B6ZlZ63TJL4TM4MSpgclGJbNlwdVA20xe2+emToGrzXGxuU+wdloebQK4gTLskYs8h4K7zFMC//Y1IUbHqlHY38ShYqA755Zhi+uqoDfneboY4nachaw3W43Tp8m43eXVGH19LQG+Mt1fdjcFhuiVTpdWp2gwR/SEYnbU3M28UMn79V1PeM+le7PaHBOUZQhk+vkDDva5yRXo8nCeGqjZEvf19eHwcFBlk9PtSHgnatV5gvjeeTxLoNpmmhrazsk6/PRbprJUnksOJKb/oSW3g6PlM6cG21inOM4Jip1RXQ8sMPukLx+WRABd1oooQJzrikDElBof+i6jnlBDreeYXd9vlwXwb+2duPjy4MAgMd2D6IrYU9AUUGQrP2uPi7A7M4vXxhA0O9hC00uOKfZgZTFUyLBCva6rmNLewK/29AN56HqiprsfQCbkFb4RJw104PbzqvG09fNxkeOK2SkdHF5WiCizPhc54miKIc1pTOWCY5DxVQimYSR8sUBu7lkLGLuSITVSfDGImCS+4PL5TqsYi6d81Sgdm4bTba5ZAWv1EehGhYqArZbArlLOC30Y7EYvF4vK4I7m0GogcIwDGbz7na7GfGdalaQox3rQ8Hg4CA6OjrQ2tqKxsZGHDx4EHv37sWuXbuwa9cu7N27FwcOHJgy53keeeTxzkV9qjCe0GxOtrAygCU1QXzrkoUAgB8/swdv1vdlPCegSLhsWTUA4K6XDkAzLMwo9uCs+Wk7tTUNo09WJJPJEa9jJCyM5VrH8/yYCjs8x+HCuX7ccJJdfLUAtA7a1++OyKFfx7PXoi3tceimbXd52ys97OffPrMU00sL0JfkcbAvCZ4DTqqx127DMNhaaBgGazSTZZnZCj63L8TsNHvjJtY1pffvskoFPzm3HPdt7oFm2oXqC+cH8dRu+7itqPawArM7NUIUUS24HJt+4Vwf3n9sAROVaJKC53kEFHudp6ldQlFKnHbu9r6Yhh+9min2EizYIvKyKg8WFuYu8Ho8Hpxe60JQ4dEdNfDKMBM658zygueA3d0qGkPJDLvM8cJUarQcT1AxOBcURcmYAh+LkEauQRSTdCigeynigW63G3zqPs207KbLzpS+XuoVUVzgA8/z9vuQXWo8geLUudgd0VgEAzXYOCfe6A+5H9E2j+X4vlMFTMuy0NPTg/b2djQ3N6OhoQEHDhzAnj17sHPnTuzZswd79+5FW1vb/9R5nkceebyz8YHjq1HstbWKF+uiWJya1O6OGRBG6BH7y8Y+rKhSMCMoYVA18fs3+3Df9gE8cyACDsAtq0qwpCKzGcqyLGxqi+PGpztw+6s9LG7HLXK4/dxyfOmUEiwqU8ABaI/orGAOAG0Rg3GeS+b58I/31+CjxwXZkArPcfja6lJ85oRC9pydXSq6YwY8EoePLi0CzwHPH4zioV2D+PBx9uP+uT2EeSU5Ikh44KpFfmiaxrQYKsrTVjWHbD3liuOKsbQyrbk5r/BVfgGxeAK7utLcbmZQYpP6xAXJzcmyLOY0+PFlBRB5YFNbAuTCPrvQhSsXBbB6hi/j+Hzn+VZ0xdLrp2EBjf1H7rZXlbKEF0URFx7jxQePDQBIF8QTugnNBH70ag/Cqoljil349AlFOV+L4zhWAKes9C2tNv9cXK6gyC0gkjSxqe3IGiSnUqMlYSSdcazuoN1xC19/vhN/3xqCbgIraz246+JKrKh2D+GcY3FdouZpZ7xVoVvAV04rxdVL0g4E33qxC794owcDiUy3JMMw2POztVY6pwGw31ORmpop6fgkk0k2fa4oCmsspOI7NRmSvup2u5mD7mgNl5MZ+zjeUFUVXV1daGtrQ1NTE+rq6rB//37s3r2baZV79uzB4ODg0d7UQ0a+MJ5HHu8SJJNJdHR0YO/evQiFQod0Ezya7UkikWAFM7fbPeIF/0gK4zGHd5JHklBNhfGBTEGGtpe6ush+muM4/HFTH1TDwqIyGWfO9A5ZvHRdZwVhsmehrEvqzqTuMlEUcda8UnzmZFsU/uumPvCihJNrvTAs4Pfru4YQIE3T8GpjHB0RHQUKj8uXlA6xcclGMplkdocAkNRNvFwXwQ/XdOGa/7Tgvf9sxteeacFz+wcRchAEl8ChyG0/Z3G5jEc/Mh33fWgObj13Oo4rE6EmNTyyJ8IeP7NIGTLdmw23282IweGAxN7xABWEpxLJBMZGeEYT2sheko47TX7Q3zTlMVZLe5rKpqaKQwWRSbImIoHRaZO7rS2K3pgOr4vH0nLbHp2OD33vBUGA1+tl00J07CgigLoxKXfcea4dirXuZIBI9GSAOluTySTq6+vzxfE88sjjiNCQslLXTQsukcfMElsY+uhJ0/C+pVUwTAuf++dmdIczi6LXnDIDALClKQQAOL7KjcXB9HX51YZozmlfJ0YresuyDMuyGAdTFGXYidlD5RO1Bfbjfa60W86/3h7Ag2/nnlIm0LXemTXtXH9p8iakmmzi5YpjAzih2m4yXHMgBAA4rtKDyiI/cwCKRqOsAOt2u6FpGiu6JxIJrGm0X9crcfjPzrTt5fmzPfjumWXY0h7H9tQ0tmkBA5EYnt9vP+6smR4mFFakoodMAEnHMrquKY728NBjQZxXkiQ09mdyBpo0t2BPSAFAJDn6WnjNcYGcx5Ea5GSRx/sW2ALnv3cOwMhxPIo8Ik6ssYUtykofT3g8ninVaDlWjEXEJKt+ErslSWJNBdRgQvdyY+GJ1NBLThCHAnIkA8BcJciBQJLs4jUJ/NV+kVnDC4LAJuMsAKUe+7zuiekZgib9Tecb2cEmk0nous7eeyzNluPZADkaJtP1iCzn+/v788XxPPLI46jDNE309/ejrq4Op01L63PPH4xiUZld5KJCdC5GaAH4zkvduOFEu+D8WlOMDcN8YVUZzpgTzIiI29WVwNef78R3XurCgT5HNnahC7+7pIoNjCgih+KUnpY90cwB+NppJfjUCcWssJqN46vdzOWSENMsPH9gkE0x/3vnIOKagSq/hFDCxL92DAx5Hc20C9JUuI4lkmgZyFx747oFgQNmBjhs78itj71YF8VPX+tlU+gAMK8sXURPJBKMJwCAZvF4uzWE5/f24o3mGBtMInzl+U789LUevNoQydkcOd6YURrIuC+4ZmkQZ89KT9j3xg3cvaEPB3pVBGQe31hdyqKTcoFyxmmifmtb1I584TmsnmHzqjWHaadOXGsqNlqOpqmNNMhjWRZeqo/js482Y1e3CrfE4cZTivG982pQ7EsPcum6nhHROhpcLhd0Xc85cHflkiCmFaTPvZfqovjM4214uT7COKUkSez55NRKOqXH48lwTFJVNYNzOYe+SO9WVTWDA5JzEbm5El92WtOPtl8ne8hnsjgsDTeZponm5uZ3XHH8nduukEceeYwZXV1d6OrqGv2Bw2C0G3WnwEEgKzsiLfT3kRQx1Sy2RcQs20odSGeEOIu827oNrG+OQ+CAz5xYBI7jhliFUzGdkEgkhizkzpw7nufx3oWFaAppeGx3CD96uR23rCrGxtYo1jdFsLHVh5UzC9g2JDUd922xc4muOq4EsgBEoyOTrcGEjsf3duPN1jgO9CQQTuYmFh6Jx4xCGSuqPTh9up3FuKVLx7eea0U8NW0fj8fh89lWlBta4mgZSIKDfTMxs8Qz6vEZDyt0URTHRXSkbr6pVhgfC+Ghbt9cxI9+ToVjnuczsjSpKD2Wz02T/9RFOZ7I/u48ty8EADh1mgeSwGVkVNFnAMCmwYksk+2R83smCAKSySQrjgMY02eezJsOIt+TDSqOz549e8pN0OeRRx7vDJCVOgDMLfdBTIXzcRyHH12+GDvbBrG/K4Iv3L8F//j4iez38yr8OHFGId5ssDOsl5QKWFgqQ+Jt0W5QNbGlPYETqod3h6Hu/JGun05bdQI1OdJ20msdCigTUTeBU6a58VpjHKZl5zq+3hTDl04pxszC3DabVDSltZQKxwk1iY2t9rYmUh9pSbmMa5bZ0z9utxvrWzoBAKfN9A9Z96lg51y/SETa122vf1GHY9L1ywrw/mODiCZN/HFjf8ZrbWxX0Rsz4HPxOKnGg1++YfPNCr+I+lCad106z4ed3RoO9qn41otd+Ol55SjyZMoCHMdhe1sEr9ZnFqA1087Q1E0wbjkWPLk3jC+tHCqyOT/3hcf48e+ddtzRuuYYTp3uHfL48+f4sb45jpfqorh2WSGQah4dDy5I0TDDxQgdLYzlPCcRM5ejE+0f4pfUgEhT24lEAh6PZ9T7EYrIoSbhI4XzHo1uLxKqilhMQEOffTynF2aeM87bkNoS+36mP25AlBXoSZUJlTTV43K5WCMjz/MZ37XROONkW14eLeG8v78fHMehqqrqqLx/Hnnk8e5GLBZDQ0MDu96eVOPBI7vDcAkckoaFt7vseBgzlbNtWoAiAIksaSOcNPGPbSGcVOPGumZ7DXn/wgAuWVDI3BYP9iXxj60hbExNAdPrAcBpM3y4aVUpRM5ETDPxwsEIHt0TRk889zrwpZXFOXkKYF/PX66P4ndv9SGuWZBFDpZpIWnaLo6dER1P7QujKiChbVDDPVtCuHRBAR7bPYBtHbnX1z9v6sfyai/8XjfqeuOgrfK7eMgi0BMzUe4T8cDOCEzLborM5Yq0tiEz53tGoQt1fUm0hTW0hXV0xvrRElLRFtZZM+RwCMg8qvwSKv0iNrbFWZZ5ruNzpChQBGhqHE4VkeM4fP7kYqxtiCJpAvt6ktjbYzs0ffW0EpR6Ry55lXpFLC6XsSOVE/92ZwKRaAySKOCMGV48sjuMDS0xRJMmvK5Da16j2D3DMKaUxfRoGeMEwzCYawBhIGHg7jf78UYTTda78aVTijCt2JvRdDhWvZIGfqhoPRK+eloJbniiHQDgd3EYVE3c8Xov1tRH8dkTi1ElZH6mXPeSzns54omSJLEIK2q6kCSJDfk4NVsaFnK5XOze0Lndo90/TFSs6HA4GvczlmWhqakJM2bMYHWHqY58YTyPPP7HoWkauru7j+g1qBPqUG7YJ6IQp+rZhXH7EtYZ1aEZFrMAIlBmpSRJCMdV3PlaBwDgfQsCLEeHinO6rrPJcGc+CS12ZL1C+eME6hb7/KpKNIZUbGuP448b+3H+HB+e3BfBH9/qxSkz0xZKL9VF0B7RUSDzOG+mknOftoc1vHAwgs3tCTQPaGziJxsFMo9ZRS6cOjOAc2YHEPC4mEUpTXJUBGwRuSdmsO7PSMQWOf+7O5MUl7oMjLYsxGKxYQu6YwXZLx7O5LITNI1M2ZzjIdKNB8ZKfCm33nkOODMXBUFglj1OUkM/y4YsyxmFUsoRHy8Mdx1wu91I6iZeTxHks2b7GekkBwl6LomvkiRBkiRmp0lFAHKgIMcGJ5kdC5GczInyySa2TiSTSfT09KC8vPyobUMeeeTxzoRlWcxKHQDmVwQyfu9xifjdR4/HpXe9hnV1vfjlC/twy/nz2e9XzvCzwvi8YhfcEo/jq91YnxIh19RHRiyMAyM3Fg3HNTVNO+KmOr+cmsbWLfhSnuIn17jxdpeKg31JfOmpdlyxqABXLCrI4JRkdQ5kOucIgoA9PSoG1fSaXKjwuP28SiiKAp7n0RVJYleX/dzl5SJrCqAJX8MwMvZFIpWxvK8zMqQh9ObTynHuHD9EUcRv32xBX9xAdUBEf0xHTAde2G/zutNneCDw6YbSnQ7LzCq/gE+eUIyBpIWbn25De1jHd9d0444LayHBztUzOQH3bO7FQ9v7kOtoCBwHHRb7HTVYjoQX6qL43InBIa46qqqyYrTHxeOSeX48sGMA/357EKumeYastcsrFZR6BHTHDKxriuH0mV4kk0kmah0JiEfS9P7RaH7LhrMxcjTk4iVOzk6/z+aUZN+f67lOUFb4eMG5vTQxbln2+7ZH7KaOSp/AitvO/SBJEty8yQon7aEEphd72D0GkM7QdvJX5/VltOvJeDXyjhVHUzjv6+tDUVHRmHLX88gjjzzGC5ZloaurK+P6t7BUhs/FI5I0cXyljE3tKite09/DFV23d6psPQGA7qh9DW8Z0HDf9hDWNqaGWzigxCOgK2q/0BWLAvjocUH0xpJ4fG8Yz+4PZzQlArZLTiz1s08cH8TZs3IXfSJJE7/d0ItXU++1sFTGTatKENNMfPvFLvQn7AbGhG6ibVBjHOrx3QMo9Yrojg7lHm6JQ2tYxzMHY/jAYpsjEi6e52euQl1RHW1hHSKfjgqqLZDQnJoun1/iQstAEhHH0nbXupG14oDMo9IvosovocovYn9fEm+mnJJ++Z5KFCvA37YNsqI4cGRFcZkH1BzLYbU/t04p8hyKPAI6IgbjolcsKsBxFWOLcDxzphc7OlVwsBtR6/pULK4JYnaRzvbd600xnDfn0It8sViMxQOOpy53JBhrDCrp5MT73mqJ4dfrexFKmBB54KPHBXHV0lLoWjKDn5GrVvZ7CIKQ0+J8rJgedGFJuYztnSpimoUrjw3gv7sHsaktgc8+3oarlwZxxdIyJNVMjVkURUiSxPRicuXM5oSyLCMejzOXTsuy4HK5EI3aLgL0+Hg8znLHnds/XHOqE5OpH47HfdGRoL29HXPmzDmqmulYkS+M55HH/ziam5uPuAM9u1Mq+3ejTf6MF1Q988Je6BbgljjENQttYY0Vu4H01K6maeA4Dg/viaIzqqPMK+KqxQVDPsNwgqumaRmEgCyunQU4yl7+7rk1+PR/69ER0dE0aCCo8GgZ1PDw2724cI4bhmkxa6Qrl5ZAkXgIgoDd3Qm8XBfFjq4EOsL6EJsmwBYdSzwi5pW4sGq6BydVu+ES+XSB2dIQjaa3XxAEqKoKP2dvZyhhYDAaR8DrhiAI2NYWxZ7uBJv68UgcygLKmI4jNQociTg2ngVMEvjI3vRoWmAeKunNnnh3dlbSpAoJgrFYDIqiQBCEIVM91Pk5kc0BZPXq3F76vG802Z20JV4RC0okdhNAGTxAOluISGUikWBZskRCAbDPnP0+YzlnpoKIPVno7e1FcXHxOzqrKI888ph89Mc0DCbS18r5Ff4hj5lT5sNP3r8En79/C+5++SCOn16Is+aXQ9M09IXSFo+b2hI4faYXK2s9rDC+vjmOuGbCLQ0/WUHX/Fxr1kTexHslLj0dlKLG1QEJN5xUjN++2Yt1zXHcv2MA65rt6fE5xfa6RPEemqaxhjxd15FIJPDE3rQ4KfLAHy+tyhCdXt5nF6vnl8go8YgZazrHcUMysqmY9/etIfazYo+I286vwfSAbUO/v0/H0/vs973hxGL8en0vYhEdm9psbnD2LF9GFqazcE9Uusyv4PtnleGWZztQ15fErc+14Pbzq7G7I4ZfvdGD1vDw62l2wX6sdxm3PN+FX74ncyqVmljpXuKSeX48vGsQB/uT2NSWwIqsJguB53DObB/u3zGAZw+EcfpM77Ai3OGCRC9y3TmaFphkcz4WqKo6pIEx+9/OaB6yTM3Fmyl3fCLh5HmUMc6nvhtk4V8TsB0VyCWKTjbbptMubLSFdfSrFkpTU/PEL10uF2t4dp4fZCM/lgn5ybynONpWq52dnZg+ffpR3YY88sjj3YW+vj42tEEQeA4rqtxY0xBFKOFwlONsO3UqUNP/s2FawNxiCft77QjDrzzdjK1tMZiWramdVONGy6CGlkG7gPzFk4tRUyDhjtd7sLYxxorvxW4efXGTcZyYo1A+ryR3E9GOzgR+8XoPumMGeA748JICfPDYAgipav3Pzi/Ht17sQntEh9/FYWahC9tT08oWgJ4cRXEAqA1I2NebxN82dWNVjQuvNNjrl8QDhV4Xkqadk0scz2KfQUCbw11zT0/uCdLs4veMEi9KFWBWqQ+8kcnVX6oLs8L4xx9pzfl6BJ/EIXII7kIzgyLqQ7n3wYyi3NbeAMBlGey/2ZrAZQvGNuW9cpoXv32zj+277Z0q5hTbTXZnzvTi71tDWNMQPazCOJCOJ6IC7dF0uyRr90NBQjfx5039eGa//T2dViDh5lNLMKvQBdPQGd8iviTLck5+dTjvnY2vnFaCqx9qhWEBzYMa7rq4Cr9Z34u3u1T8eVM/1jbGccNJhZiVcv+iKEinlk/xqM7/A+lmSXJUAtIOpeTKRK64uq5n8EO3283096mCo10YV1UVAwMDCAaDR20bxop8xngeefwPo7u7e9xEjZGKUuOVGT0asoU4juMcduqZBMq5UDWHknhwuz3d9OmTSjPEWo7jWMdXLmQXzHMVH2nKNyAL+P45lXCLHHZ0xFmh/m+be6BCwpr6KNojOtwisLsziuv/24xz/7wHtzzbiaf2R9A8kC6KizxQHRBx/hwfbj+nDI9+uBb3vL8GX1tditOme+ES07anuUCLoNfFwy3aj+mK2J/FMAw2LX5cpT0NMi0os+65sRxP50TG4YAaDsYTlFFN9jZjzd8eTxxpYZY6Sj0eD2vuINtHmrzOFs7I6idbXJ8I0HWAREW6vlD20lmzA/B5vSx7nOIUZFlmWenJZBKmaYLjOCY6UqGcvmumabLzkDKBxtKBOZVsqiYapmmip6fnaG9GHnnk8Q4DTYuTSLewMpDzcZccV4XrVs4AANz4r21o6o2gubkZm9vSnfhPpoq+J9Z42E2lalhY3zw69xwuCoLcRiYCHMfBnxLJTBI9DAuFbgHfWF2Kr55WgoDMoyGk4cvPdOBvW/pZgdnJjWiKoi9uYG1jWvz5zYWV8HvkDG5GdoMrp3nY53M2iuXin8/u7sG6JluAUkQOd11ai7mldvSIrHjw81fbYAE4e5YXSyoU+Fxpi/hpBRIWVfkRT+bm7V1RA30xHTzPo9Iv4ftnl8MjcdjZpeJTDzfhK892oDWso8gt4BPHB0fcn86G1LFgf6+G/vjQQiPZNfI8jwJFwHvm2uLjg28PzdkEgHPn+MDBFi8pTokaDcYLFBNFOfeU0T2ZyJ6SHg00/e0E8UpFsZtfKQeQeDjldzvhdrvHlFt+pHB+p4RUbFdS06CbFtpTjRnHVATY9guCwKzUxdRzy/32Odgd1VmzjWVZLGeS4sCIO9M5MpYi9GRPuRztwng4HJ4yE2155JHH/z7i8Tg6Oztz/u7EGpsHHuy31/iagAgjVdiOaRZcAjdipnXzgIaZhfY6sbnVLnafVOPGjSuLsadHRcugjgKFx0eWBPHMgQhufLoDrzTYj1tSLuPTJxQiptnOOAtL01yH8sb392WuzZph4Z4t/fjG853ojhmo9In42fkVuGpxkPFtAKjwS/jp+RWYVSghnLRwoC+J65cHUZPKT3Z+JGfCTVtYx+xCCTHNwm/W92Bzygq+QBHwfxttPcC5ktO+6Y0bI2azTyuQ8Pj18/HwNXNxxwWVuGlVCT60JIhTqiQsrPCCN1TbVSZp4sevduGDDzThF2/0Db/js5BdFA8qPMRhltZKnz31TSj3Zt4nVHhtPpPNc3TTQm/c5gw8Z7tq1vWp+PFrvdDGEHzuc/E4sSbNd3Z02hyd53mWQb6jIzFs08JYoes6a+SUZRlut3vUyNLxxqHq9lubB/D5J9tZUfz9iwrxx/fPwqLqILNBJ33QMAwWpZgNp0PrkSCoiCz7fV1zHLLA4UfnluNzJxXBK3HY25PAl55qxz1b+iG47AEkJ8clbuvxeDLuNalpGbAbQ+n+zOlyqqpqxr0GPZ4mzcdiWz6ZPG+yz61c6OrqOurcdiw4+nsqjzzymBD09fUNSzQPFdRpNRyc054TiVzEhgrjLVk545qmseyPP24KQTMtrKh244w5QVawc7lcbKp1pEXaWewcroBOucnVPh63nFYKDsC2jgQqfCKiSROf+m89fr3etgWM68Dahii6ogbrSFVEDrMLJbx/YQC/u6QSj3x4Ov5waTU+f3IxFle4ma12NkzThNfrZX9ooXdmu1O2TndUh67raOhP4s2WGDgAtSlLoiq/wKxhxjqBSvaXRwOKojBCQ3/T5DERE+rsmyzwPH/IkyXZYqQz95Cm0ijrho4pnY9utxuyLLMpebJfnShQ7rfH44Gu64z8RZIm3mq1hbRTa2XWhRmNRsFxHLt+0BQcOS6Qtb8T9D3UdT1jwifX95PneYiiCFmWoSjKhBVSpjJ6e3uPqkNCHnnk8c4D5YsbKQIyL8fEOOEbFy7A0togBuIa/t89G9DWG8bu7lSGHAfs6lZR15+Ez8VjaWV6/Xm5fuRJzNGmUSfyuuaXqTBu/58K3xzH4bTpXvzukiqcNt0D0wL+vXMQX3yqHXu6VbbmUQe+pmn45KPpSZkbTizCvKogdF1HNBqFoigYSBh4O2VjvnKavUZlC0ZOHmBZFh7YEcJPX0s3PV2/LIgyv722WpaFB7Z2oaE/iYDM4xMnlAAACpQ0bzt7lheJRALff7WX/ezUae4MQXRPT5Ktv7MKXbhmaRAA0B7RYQE4f24B/nblHFQEc2dnAkCph8+YQhorPvNYe86fa5rGmukuWxCAyNvn19tdQ2N3yrwillfZ59tzByJDfn84IP5Mf8iFKBqNIpFIQFXVSXelORwBMVsIo+ZD4lWyLLOGSrr/oXPS7XbD6/UyIXGiJ1+cDZCw7O+BZQHtYR2GBbhFDh7YfJ6OAVXG6RpRqKSbfymaJ/vzA+mGXlmWh222FAQBkiQdNcF6KjR3dnV1He1NyCOPPN4FUFU1I1c8G25H9fTSeX78/PwKTCuQWOHY6YpT4hl6rY7rQF1/mqOcWOPF6ule/CZlBV3kFuDiOfxtawg7u1SIPHDWLC/uvLASXz2tFA/vGkRct1AbEDOmrKtS2tmB3vTPWgY03PJsBx7aOQgLwHmzfbjzokrMK8mtQxW6Bdx+bgWOq/Qgplm4d9sArl5SgLNnZXKumG4PywC23kLW6BtaEmyYpidm5Ixd5DngvfP9+H+OBsdTpvtw7bKijMctKpfhlTjE4/GM9dPtduORHT342MMtOO8v+3DFg814rSmOeI73kgXgplOKhvzcCSr8hxImhkmJhGZY7PUrfAKSWadGhU/KaHgj/GVTP6gX1CVw+N5ZZXCLHLa0xXDnmyHWCDsSzpyZ3vdvdybYPVK5T8TCUhkWwKb0xwJyHXL+kSSJaZQ0xTzZ8SVj5Rm6aeG+bSHc8mw72sM6SjwCbjunDJ89pZwNaCWTScaZaNBMVVV2fHiehyRJzH1pPArjgO3wIPJ2E8lPX+sGz3G44Bi/ff82wwfTAh7aOYiP/fsgtnVkTudT0yTplYZhwOfzpVyI7O+X011IVdUMbdw5GU/fGYoxzS6M0z4hPZeaAyYLU8HCPJlMor+//2hvxqjIF8bzyON/FAMDuacsDhVjtXuZjE6gRI7CeHUqZzy7MA7YRewN7To2t8Ug8Ry+sKoCAJjgI4oiE4PGWhDWdX3IlJNzGkGWZZw2K4jrV5Tg9BkelHjSGd+mY/N9Lh6LymRctyyIv19ejYeumoY/fmA2rl9eiNqCocXm4bZNFEVmTR2NRtlC7jxmVBjvT2lA/909CMCeXkrxa9ZgcChw2l8eDo5EcLMsixEa+jsX0ZtMUYu6Cw8F2dtHVktkhZlMJpFIJJj9ksvlYk0YhmEMaU6YSAJEQiGJ84Q3mmLQUlNqM4Pp84js3Z3PJVBeK00G0g0DTTa53W6WkU42oiTm0vfPNE3ous6m7yYzX3yqwLIsdHePnAuWRx555OFEQ29a2Cnzyyj2Dd9A5hJ53P2R5Sj0SNjXncAdb/TAsOzJHZqAfnKvPTVO/weArR0J9MdzX5M9Hg/rvh8Ozgzu8UYglTPunBh3okAR8NXTSvGN1aUIKjyaBzR85bkO/GFDNyBITMT6+H8amBh5wTFeXLwgmCF4WJaFDS329NHsQhcqfLl5FjW+aYaFX7zRi3u3pfk7B+CCuX7WKNY+qOGeTXbB++PLgyjy2u44XEoq5mCLe7e+2IX9PTbHEnnga6vLUOqYvNmb+l1CN/GnjX34w1uZokVQEeCROKxrCA27H5MGoJlj5zyuFD2JaBZeODCY+zWTSciyjGKPiHNmp6bGd+S+n7ngGLuh48W6CDTDYnmBhwOytnf+yXWO0mT7ZMDJoQ4F2fuAeCTP8xmcifgXPZ4ibJz3D4ZhTKhoy3Ecs9akgTrDSt/TVQekjP0tSRJr8JBlBZIkoTR1n9Ud1dhnpQK/x+NhDlJksU6/J+cjyp2kz0tF86NhoT8VCuORSGRUi/k88sgjjyNFNBod9t69I6zhl+vSzX3FHgE+WcD3z87kMrRuOO3Ws3FSjb2GvdkSxc9e74Fm2o2dfXED3TE76/uKRQH85X3V+PLKEtQWSLjtlW50Rg0UKjzawjpMC5hXYustqcFkHOizHf2e3hfGF59qx4E+u0n066tL8IVTikeMEwIAgQc+trwQc4td0AwLt6/twRtNQxtGnUmS2ZnnADA9VXAOyJncZG6xC59YUcR0QAAo8/D46PFlrNgOALFk+jV3t/Xhmy904fL7m3D2n/bgt2/1oytqZEyx81y6aeH9CwPwS4BqAL9YlzlFznP25D0ABGUuo9FhOPTE7Q/LAfjRuaVD7iOoKYE4DQC8XBfB46n7EABQdQuzi1z4xumlEDjg5YOD+Nu28Kjr+YoqN7ySvY1x3Z7kJ1DRfM0hFMZJM3P+ycXpJnPdJx40GqjR4/4dAzAt4IwZXtx1cRXLbI/FYjAMgzkQ0SQ1DWyRxqsoypDPPJb3Hw0ukcd759tuZ7u6kzjQa79fic+F755bg1vPKEOxR0B7WMc3X+jCr9b1IKzmvtZQs7MsyznvOy3LynD0pEK/x+Nh9w5UV5BlOWPynJpSiZsOp1dPFKZCYRywXYynAr8dCfnCeB55/A9iYGBg3LJLxlpYTCaTEz6xmet6SkXk1hyF8b5wHL9dZ0/NX7G4ACVKugPMNM2MYniunEcC2XN7PB5mF+PsdiOiRVbQb7dH8HZHFK80xNikEBHQVbVuPHRVLR67bh5+fF4FPnBsAYpSPknxeHzY/Z3rxkEUxYxiOE3A8zzPJqUVRWHF+d64hUFDxCupSa4rlhSiOWSTPmdhnCaVxwLarkOdzFYU5bAXSI/HM+ai+mQtwk5b8UNBNmGh40954nQcBEFgxIomrZ3Ta4REIjGhJCjXdYVuEs6Y6c14b7JFdXbF0vfGmXlDJDEWiyESibDpcpfLxb538XgcqqqyKIBcmOzJnqliC9Tf3z8m66Y88sgjDyBtpQ4AC4axUXeiMiDjW+dOAwdgS7staBxf5cZFc+3C5Jr6KCJJEyfXephIaVrAq41DBaRDWSvj8fiwdutHApoYJ7HRWRh3rmErp3nwu0uqcOZML0wLeHj3ID71cCPebOjDT17tQvOAzTtnF0n43EklQ4qmPM9jXUuCvZYTVKxjwpnO4dYXO/FyfRQ8B5SniugVfgliitfpuo5vvNjJLDFrC213oFgshlDCSD1exK/W9bK8SsCeTALsIiNhT4+KHR0xfP7Jdjy6JwwLwDmzvfj8qnIAwL+29+GmJxrxwsHMYxhUeCZKD6hmTltOwqxgZtPkpQvS2Yy/Wt+PwWFEKipcfnBREDwHbG5PMNHLiROq3ShUBIQSJt5sPTIb9bE2eFIz6mTgcCdLsnkvNRdmN5soioJoNAqe56EoCuMRpmlO2gRTMplkomna4twWZYGhTbuGYbDg1IRq892S1D1Ud6rTl+7vqIFW13UWQ0TCJzVn0vsPd0wnW8ibKryys7NzymxLHnnk8b8HVVXR15fbjjuWNPH9Nd0YVE3W+PRWq60/lHhEfP+sclbApN48fYRL9YaWBAqVTI3AsOwi62dPLMI9l1fjmqWFKPbY6/ud63uxq1uFIthT2oYFnD7Dg0+tKAQAtIXt9akppOF7a7pw95t9UA0Lx1UouOviSqyalp48TugmGkIa3miK4aGdA7hzXS++9lwHrvlPCz7wQDO++GQr9jkmz53T2F4pOzUbmFkk48rFBez/Egd0puy9B9XMa/b+3iR6YzrqHVPz5V4BB3riGftrTUMUF/3fHlx8byNueKIT2zriQxpGvRKHc2Z58cAHqvHCJxZgWZWt+b5wMILU7kD2ivHN1aVoSq3lA6qF/b25tQo6xk5YAL75wtC4uAp/uuCoKArq+pO4a4N9HhWljrEFIKFbWFbpxpdWFgMA/vN2P544MHJBVhI4nDYjfex2dCYYLzp1ugciD9T3a2joH11zcblcY9YqJ0u/oqGbkWBZFp5KNXrs703C6+LxtdVluPnUEhbZRK9BwzlOXulyuRCNRlkWN93vOYvh1Oh7pLh2aQFrtvj56/a5Iooi4vE4Tq5x43cXV+GiuXbs0gsHo/jM4214tSE6ZB/QfRQV953bRpojTfknEgnWOKhpGtPcvV4votEoVFXNmDzPhckc5JkqhXFN06b81Hi+MJ5HHu8Q0HSupmkwTZPZEjuh6zpaW1vR3Nw8Ljfzh7KoA/aiMZEX4JtOLcUTH52OB6+sYt3+tUG7INsyaOfmCYLACMY/tvSiL26g0i/i/QsDrNBI9s6WZbHimzM/xAmyjY7H42jsDuPRXSEAafs/pwXh9o4YvvViJ258qg1vtsTBczaRvm55EXTTnkL65rnT4VNcbCrG6/VmFNmHE6NM02QCMdmykEUPAJYbSJnNlOtsmiYTMTvCSfxrSxeMVHbSrAIBTSH7+NYWZIpPhzIFThMoh0JyDvc8IWvtsWKiC4aSJMHtdo+7eEZ2+MlkknUeOjsunaQq24Z1rA0q1Nl4qKDnud1uxCwJOzrs7w1lMAmCAI/HwybenZ+JPkP2+eW8KaDrGz03l0tDLrzbsiAJlmXlrS/zyCOPMaOxN72Gziv3setyrnUsHo/j4MGDmOvXcdXidBG9tkDCsWUypgclqIaFFw9GEFQELCxNrylrctipHwq3II423qDCOE07J430NACAjCxpvyzg62dW4TtnlKLYI6B1UMPXnuvE2iZbpPW5eNx96TRIksQynCnqZTCuYUubva+dhXGy2yMu0zqo4QtPNGNnlwqPxOH2C2rRF7NFlRUpu/CEquJrz7aiO2qv/VcvL8aCUhcEQYBLVpileVyzsDnVvHBMsb3vlFRnZpXfURjvVvGlxxrRHtZR7BFw23nVuHFlKd67IIirltji79b2zEa4moCIH55Xy7aBw1Ah1LkKf2xZMON3rzUlMKcwvQ1fe7aDWVVmIx6Poyrgwpmz7OaLB98eOmEu8hzOmW3zjmf3Rw7LhYhErbFOsByuQ9KhgIq3h5v1nP09poloZ0OqM3JJ1/VhmzQBHFJMD+WAH8q28jxv81zBfk/J5WIT4zUF6fxGZ/EeAGAhVRhPT4w7QTyZ4zgWBURF8rEex8ksjE+FLEgCNarmkUceeRwKyM2NpklzXUP7+/tx8ODB3K4spoWfvtaDpgENRW4BXz3NjovZ1a2yic/aAgnfP7s8ZyEjIOe+jvY7JsqL3AK+dUYpfn9pFS6c62ccCbDjc16uj4IDYIKDZlIueQlmF8lQRA4xzYJHsn16NrYmIHDA+xYE8J5jfFhTH8Wd6+3i93X/bcUHHmjG555ow49e7cY9W0J47mAEb3ep6EtNQvtdPOaVyDhjhodNQwPAnEIRD19zDD64KAjAnnAHgIY+FS86GhYN2EVgwbGEzyySMb/EBcMCnj0QQZ1j8rncJ+LpvUNdeLLt0UXOnji/4z1VePlTC/HotXPxpZUlMAH8dE0r1qUm2wfU9IR3Nja2J9gkP726koMeZNPAmoAAt8ShPZxZXPS7+Ixj1RWK4LZXuqEaFo6vUjKcBCIpD/YzZ/rwseVBAMAfNnTh9ZbkiBzlDIed+vZOlfEIvyxgRaoZYLSpcVmW2XdgLJhoPYl07yEcKgt9MR3ffbkLv001eiytUHD3RZU4a05BxuOo6CvLMtMnszmmM3ec/u/c77quj5mHDadr8jyP61P3GS2DOjY0RxmXFQQBhX43vnx6DX596XRMC7oQSpj46Ws9+P6abnRF9YyJb0L2/YDz+iUIAvu/ZVnMFp/neaiqOiaePB428u9UTPWp8Ym/u8sjjzyOCLFYDIODgwiFQhAEgXVnaZoGt9uN6upqtgD39/ePiz0J4VAndQzDOCIxJxvObGWyjfZ4PJA0jU2ulnvsbspo0kSSV8CbSYiiiNYYx2x1Pr+yDC7Bfg0q3pNQkr2tbrcb8Xg8w94PADojOr7xfAc6owY4AJcvsUVTURSxrq4P/3p7EDs67X0vcMCZs7z46PIy1BS4sLZ+EBU+ERfNL4Bb4hFNdXZSQRkAK36OtGBIkgSe55nAQzcfRBio442KklRcJAul1oEE69Z8/7EF6I0biOsWeA6o8GUuB4dTUKYp55GmegGwQrIoioc0DUOTVYcCRVHGzT0h12vTFPPhIhcZdjYYkEvBSMcj+zUok9s5Ve4EEeRD3S/kquDshHx2t52ltbBMRnnqHKKJKmdnKll00gSUKIoZ20bfSWrGoe+BruvsWjdRx/FwMZXI3cDAACorKydkujKPPPL434Gu66jvSRc8AmYYe/fuZdf24uJilJeXs/Wjo6ODFWxOqvHg/h12gfLhXYNYPcOLi+b68ds3+/DkvjAume/Hymke5pSzvzeJ1kEtY1L5UAUgcrAZjyY3WvuKvDKAKMtnNMCx6VIAjGuKoshymFcfU4wTZhbjthebsa4pLYp99fTKIc2qxMNfq49AN20Rt7ZAYu/v5DFvNvTjtle6EUmaKPdJ+M6ZpVBNixXt3zvfD1Fy4UcvtWBzq/28k2s9uH5FGXudzS0RJmrS5PjichlXLS3BN59thVuiifE0z6NhoHNn+/DZU8rgVyQkEgm8uK8XT+wZKpqWeAT8+tLpeHZPesJLErghU0X0vwKZw9JqL4D0xE93VMfvr6zG+x6wc9mbBnU8sGMAHzkumPN4GYaByxf48OLBMN5ojqEplMS0YGajxHlzfPj3zkFsaU+gP8khcAhLIDWYHmoDsNPxZrwxHvdQ2bxaEAQmWPI8z+4ZnA5azqJstlAIpKf4nfzMCYq5SSQSh/QZXC4Xm9ymjPFEQkVbxD6PaWJcEAQmeFINX07db9QU+wB0ozua+bnpc9HEPL1OMplkGZijHcfJzIKcyPPqcNDX1we/33+0NyOPPPKY4qBGv87OTqadOYc5KisrEQgEGM/q7u4etpn9ni0hbGyLQxY4fOuMUhxTbDdgNoY0bGyL48yZPpiWhY6wBkngoGZxkFOnuZHQgZdyNGYqgm353Rc3IPIc+KxteL0pir9vDQGwc6ppCvyrp5VCNy10hHWUegU0D+iIaen4GsMCHtmdOx4GsBsoq/wiagpcqAkqqPDyKPcKmFXqQ4FbZGvVDQ/XoS1VDD7Qr+Nnr3bg+qUFeGb/IAbVdIG5J6ZDETkkdIsVlWk3yAKHb51Vhd3tYezp6cEz+yOwzLQm9/01I8evnVyt4Pvn12Zw7mg0iq3tcfxtSwj7+zK5eKHC48PHBTErKOKmZzOb9J/el7Y352E7ING0vRO9Drt0twjcc8UcdA9E8a0XO3GgL/14zTSxuS2OZZUKTAv42Wvd6IzoKPeJuHlVScZniyRNlKZq3JctCKA3ZuDRPWH89JV2eM+uwMkzCnJq5gtLZRQqPPoTJnZ0JCC6ZOhJmyOeMdOL9S1xvFIfxTVLg0POH8DWKsmhZipAFEXwPD+qhvZGUwx3bejFoGrCJXC4blkQF8/zg0+5PzpBQzgU60j8z7Isxqcty8rQebN5IenxI/FFt9sNLaX5y7Kck6tfOC+A+3cMoD9h4jcb+nDG3BL2mqRFzwoAd15Yif/uieCfW3vxVmscbz/eho+fqOOS+QUAMiOwRFFkg2ZODkjDcDzPswE3wL7GjTU7nV53sjBVJsYBm08PDg4iGAwe7U3JiXxhPI88pjDi8Tjq6urY/53dSYAtahw4cGDIZDdZTbtcLpimedhZztkXU8o4pqKrIAgwDIMJgnRDL0kSK2ZRcYwWZGexjB4HpDvlnYtr9iJOhV8nZJFHuU9ER0RHXXcEC0okqMkkfvlqF0wLOG26FyfW+jNICv2dq3jrnKag9++M6Pj68x3oihqoDkg4qdYmA9t7DNy7uRG7uuzHSTyHc4/x44pFBagOutnieUKlC6uumoNoKgs7l5VNMpkcVfjleZ7ZtRNov9NC7txXtE9ri7wAetEY0pDQLcwslLC8UsG21KRvpU+EJGQea7IEPVRiR5k/uSbwqdGB9qsgCCMK3pIkQZIkll9zOIXRZDLJztPxBnVDHwmyRTc6/4jEEsEm0H4lK0jK9ckGnSPZhJOuDfQzstYci4ip6zp4ns/43r6S6po9a1aA7WenewA5LjizwclmKfu16driPHcOZf++Wy0vAXtbwuHwlCWbeeSRx9TAvqZ2RBwW1vPKfQDS7h69vb0YGLALo7Q+UaPg9m77uu0SOLSGdfxmfS8+f1IR7tnSj7awjq3tCZxS68EfN6bt0tbURzMKn9lrsaIorHCVzSvpDwAmsNDaomlahgUzXY+dQgz92xk/EovF4Obt10ymvCQTycy1nOzeqWgHpCI/RBkbmjPXrm8934oLjvHhY8sKUSgLGesxZUWePivAXHyca+0LByO4a0MvdNPOrvzh+dNQ7JXwgxdaAAAeiUdtsQ8/XtOGVxrs5xV7RHz99HLGD2KxGJ4/GIYTC0pduO3sMrzRTNzUQkI3sb0jk5NdONeHL6wsh67rGIho+NOmfjyz326aKPGI6Iml+YlH4vFqXRj3p/K+ZZGDqlvwiwAN9cg8kNJusaxy6OSEYdnH5KwZHryU+jz37xjAvBIZK6pzT4RMD7pwcq0b65vj+O/uML50SjH7Hc/zmFUWwLLKfmxpj+PRHT34xMkVUFV12PWZ7B3p3uhQ13HTNCdM+HQ24x4ucnFqalSkhlpFUdj7EF+n7xY1ouQqCFO0gbNRkZ7vzM6kx43GuwVBQDweh8/nQyQSAZnGmpaFpn77e1STcrOiQgu5fhFkWUYp7PcZSBhQdROyyLNmS9qnzgZiADld13Lh3ZgFSYhEIkOaJvLII488nLAsC/X19ez6r2naEF2hubmZOeXQdZdcDRVFYQW15w6E8XCqwPyllcU4ptguPJ1U40ZjSMOG5hh8Eo+/bwtl2IM78dT+KDzDZHsnDLuRf1eXirs29OF3l1TDKwuQZRl7u+O443U701zkAdWwEFR4GKaFTzzait5Y7vWMVhEqflf5JVT6RfvfAQlVfhF+WWD7JGPfWEkkk/aQy6AuYnd3KifZI6AvbuD5/YMIxTS8f2EAf90SynjfSr+E+hyW3p86oQjTgi6sq9PBAWwyfTiUegTc+d7puG9zN57YG8abbQk8t7cf71lYgoFwFA/sGMAzByKsMA/Y2eE8Z9vXf//scswsdOGVhuEdRqYXiBhUTbSFNfhlHjOCEnZ05tam7764EjzPwy8LQzLaEzrw7Ze6sLDUHsbY1JaALHD45uml8MuZXZHRZHp7OY7Dx48vRH/cwKuNMdy2phO3nwssqS0cwrkUWcZ75gXxz2190EwLb7cOYvl0+3EnVLvhkTh0xwzs7FKxuFxhjjdUJD4crZL4/EQMgIwWXxVLmvjDxj68WGff28wudOGmVcUZTai5OADpxIlEghWE6RpAPM3lcrH3z8UHqVGGrgXZz3fuj5H40edPLsb313QjlDDx6K5+nDdTGXINEnngioU+nD7TjztebceubhV3vdGJ5/f14+bVVZhZJDPe6nwvJ0+kqXiKiTycYcR3O5/KF8bzyCOPw0Jvb2/G/+li7RQcnN1ZBFoInMKFLMvgOI7lYdCFOZlMjihe0CJAUxWjiTaJRCIjO5hAYqbTWkXTNGaTSQXMkYr4w03XVgfswnhjfwILSiS8cDCKXV0JuCUeHz8+CMuy4PV6M4QeWsxoIte5ULndbkSjUXg8HtR3DbKieJVfxC8umYHdXTH8cE09DvSlpr0FDufP8eFDy0oQEE2236iQ7fV67SlenmPZyYcy/UT7brTF1Fn4NwwDoijC4/HAH7aFTCK1719YAI7j0DJo74+agqEdbodqo++EaZqseEs5f7kIn2EYMAyDidbOz0G5f0faVec8twVBgCAIEEURqqoeUbGc5/kj3rZc+4Qywilbm75v5AoB2MUKKiRnT15nIxaLsak3QRCGFKSBsbsD0DlFx6plQMOBviQEDjilRgbP8+z32UUAEkCdnz2dJ2mx65jL5WLHxeVyscaIsZDPd3NhHEC+MJ5HHnmMCNM0sas5PcEr8kCpYsLt9mRcn7OLYtSctr7RLsBePNeHR/eEsbYxhuOqfDh3TgCP7h7AMwdj+N45VZhb7GKZiWvqo/jwkgJ2vad1hISU0YSg7CY7WlOcuXYUJUM5yrReUgxH9nuQlXpCT1up50L2+vqRfx5g0zn/74QSdEV0PLY7hGf2R7CpNY6bT6/CceX2uqwawOY2e7tXzwqA520BSRAEaLqOe7eFmD34GbMC+OoZlRA5WyTa0mav08cUS/jhS+1Y6xAcbzm1GB5ZYs1z0aSJlw+kJ5UUkcNPzi23rf1Sn08zLHz+iXa0RzKPa9K0G90O9sTw09d60BjSwMGecKdcyJNq3NjYEkfTgIZfv5GeBqLXdrsEhHV7zXbopjhhmEL3s/sG8eVTS7GmsZHtyzte78GvLqxkrjPZuOLYAqxvjuOlugiuW1GGoGSw+5h4PI5zZ3uxpT2O5w9G8OElccguibnmEKgQfri81glnoy9xymwR73DgbDo8HDhtHp0gfkWOPbSdxNHpO0X7bCQBkoRfsow0TXPIfSFleY92v+hsgvF4POBTbxtJWohqtpvV7FI/BM5iblnOZgZVVRGPmxAsizVqxCwXgm772kKirdM5ynk/PBqvPNLjcaiYaoIpNVwWFBSM/uA88sjjXYlwODzkOkkOgs5rbPbaS/+na/POrgTu3mDrnh9dVoSzjylkTiGrZhh48O1BvNEcx2tNmevs+xYW4JFdmS43MW14PWB3l4qgW0B3VMc3nm/HzEIXGkNJ7OtNDskrDyVMhBK5OYPEA5ppF5Z/fVElAvLwdjXOpjcnp6S1SNd1PLMnrfletiCACr+In6ztwVutccR0C6VeISPGRsvBWwMyh9+92Ys71/cO+R2h3MujM5reP9efUA6/YOBLq6thWG14et8gfv56D/6zO4zGfjXD5rxA5nHRPD8uX+DHFQ+2pN7TXrf+8Fbu/OAVVTK2dqjQTWBG0IUfXjAN332uKedjr10axLSSAEzTBMdxaAplnlfzS1yo69ewq1vFrlQTwWULA5hVODRyKZLMPAd4jsONK0sQUruwvSOB777chZ+dz2NGiQ+GYbAYpEQigVNrZfxzm/28N1tjmF8qpyIEeZw+K4Cn9w7gtWYVx9cGkEwmx8Wt1clRiFceyXAbYSRt7O2uBH7xeg+6ogZ4Dnj/wgA+vCSYMSzlbKQkGIbBhu9I43Y2vDgn1D0eT0bdIRdUVc2IB83FHROJxLBT4yfWeFATENEyqONPG7pwzvQaVrDPvjaVuy38+r0z8PiufvzlrR7s7Uni0w834APHBnDtinKYemYEJGmbpFnT0BttC12j3s0W6YeCcDg8ZRsup94W5ZFHHgBsoY+mdrJ/7rSUGwtM02TiB02YxuNxxONxGIbBJgA8Hg9cLhfLR6TF1DCMYbu9nHBmi2QjFoux7ipnwdM5KX2ohUoimmTT2TKoYVA1cM8Wm5xds7wYVUFPho0egYRZ2ibavlgsli78hRL4+gud6IoaqPQJuPzYIG55shHffb4VB/pUKCKHyxcGcO+Vs/CpE4oQEE22HxOJBOt4o4YGj8cDRVHGnKlCE/q0Xclkkh0b54JCBV9qYqBpDcAWNmpL0lZ4JR4e58wrgiAI6Qy/wNDFfDyKfmTp7fV6RxQM6dykP3RejjfISp/OZUVRxpzH7YTH4zmsbG4nyHIyG1TAdtq60uOJjNE20OcZLdudMhWHK4A7p/BGex0A7D0pY2l5lRsFisCuLfQddx7zbCJLYiodbyLXgiAwwplMJhGNRsc8mT+ZlpfAoV+vJhpENvPII488ciEUCqEllL4WTyuQIPJ2QW+0NSCiGtjTYz/34nkBfOx4O4f69xu6MK/I5hDrmyJo7o2yPG2eA9ojOuoG0txIEASWaTyWQuJwN8+0lhM3clreORvfcl2nRyqMezwetlY618wbn+5AOCW0nTbDhw8vK8WNq6tw+7nlqPCJ6I4Z+OrTzbhjbSd6BqJ47WAvVMNCuU9EpeKYQBAk3PFGPyuKf3RZMb5yWgmMpN0UF0maLJMxkjSxtiE9DX7eHB9OmlnM1lNJknDbqz1wXvWL3WkBKpyqVO/rTaI9YmeJO82B3m6P4sk9IXz56Q40hjQEFXuSp2lAA88BN6+uxA/Oq8G/rz4Gq6YNPT9KPQK6h5miOq4yNaGb9fPHUhFH1y1LF9vCSRO3v9o9bIPC3BKZWWf+c0sX42B0vE+p9SAg8+iLG9jYFmfFXyevnIgJb2rESCQSiMfjLKf+UAUyURRZDNGRYLhJbyrgZzcGUJGZrDYpBicajY7KcROJBOOgueC8DxkOdJ4S3xVSGeO9KaeCcq8IQ1OZ8Ez72zlZTp+vzGvv8+beCLu/BcCaK71eL7vmEE8dDZMdTTPVJsYBe7onjzzyyGM4ZA/xEFRVHbNW0hnRcdsr3dBNYNU0D65Y6EMymUQ8Hse25n7cs8lu6DQtsAYqADhrdgB7uocvHM4vGVowtQCEUlPU+3qTePZABHt6khkFYJfAYWWtGx9aXIBPrijE3OL06yyvVOzCdIp49cQMiKNcu+na7uQtQDoihOd5PH/QboDkAKye4cVJNR788JxyeF08dnYmYDo20AKYhufEoGphhJ4AzCtx4dplRQDS+3FW0I5aicdimFYgQhHtX9T32UVxLvW8288tw30frMWHlwShmelc8IAs4O/bBjMmygmKAGxss4vip87w4ecXVEDkgQN9Q3lDiYfHh5bajkDJZBJhLZ1fTrhkfgA/OLsMjphxPLBjALe+0Mmm7QnR5NDtkQQOt64uxcxCCaGEiW+/1IXOgRiLAiUONi3oQonHXv/J+Ym081Nr7XN6zcEBROJH3miZDZqcJq5CTcCHyg88Hs8Q10mCZli4Z0s/vv6crXGX+0Tcfm45rl1WOMRBdCTwPI9oNMq4NUVMkhYlyzJrfqT7vuGQrXvmwkjPv3lVCQAgrlu4Z+sAa67IBTWRwHmz3Lj7kkqsnOaFYQH/ensQn3y4EW93pvcXafixWAyqqjL7dGo29fnspopoNHrYzqbvNliWhUhkeHeJo4l8YTyPPKYgLMtCT0/PsCJOMplkk9bjASrcxmIxNuXsFJKcORojYbJv6klUocJu66COv20JYVA1MSPowqXzA2whpqYASZJY0W04Eco0TXSENdz0ZBO6IjqCioCYBty1vgdNIZvMXbYggPs/PAcfW14In2jbf2bbVNPkNk0B0z4dS/GKmgycopOmaezYkJ1jtkWopmmsEE1FR86yGAFePd0LPWmLYe0ReztyTYyPV4GNsvymIkjMFEVxTAVyEvVpvx4JDMPI+Z2iTtHs18/eh9S1CIBZc42E0SZfxmLjD6S/49FoFK+mrFBPn+Ed8lj6HABYs43P5wOAIY0d9P7O8/1wzr93+8S4aZo5HQHyyCOPPKjZ0pnvN8MxZTHaOrKlIwHTsovpZT4Rl87z49RpHugm8H9b+nFsmQzTAp7aH2aFcbpEvlwXYZwkV9F5JIzHJEY2/C57bYqnFEQqyEqSlFFQIwHztxt6sb/XXoOr/BK+emoxEokEotEoTpgexF0XV+L9iwrBAXj+YASffaIdj+2xC8Craj3MUrA/buBLj9XjlfowRB646dRSXHWsD3KKzycSCTy9Py0YHOzTWCE7qPC4flmQ/c40Tdy9rhPbO+Kpz2SvqbHU4d3RmcC/3k431543x4e/XjE7I++9I2rgF2s7oBoWFpXJ8Eg86kMa3BKPH184HWdMs92NuiMqNrYO5TzdMQPDrYJBxW4AdWXVFltTvuuXLwxm/O5AXxJ/3NiH4fDBY+1C+vMHIugcTGRwJEngcPYsm188u//oCS7U8KdpGhRFGVOBnKZusmOSDge5GlzcbjcrKDsFeRIsgbQ4Tw5PgH2/Mdp930ifj6bGR0I2D6RzvT+Ryhd33JtkNBSnHqfICsu5LE6J2N0O+39nQ/dYrdOdmOx72qlYGA+Hw1OO6+aRRx5TA+FweNj7TnIaGm0djGkmvr+mC4OqidlFLty4shg8x6ExlMRtr3Thxqc7sKU9wZrs6HLkkTi8dHAQe7qH54h7eobnmbTe0N/0+pU+EX96bxW+cXoZZhW58MCOAezrTUIWOHz2xCJ876wyzCi0P1NA5mEBOJjD0pzgbLbM1WwVj8dxsF9He4obLS6XUV3sB8dxOK7Khx+fW45CRUBvfGwah8gDxxS78KuLa/HER6ejzOHEUxWQsb8/tSZadh65Txbxgxdbcfn9TfjDW32sYZT2yc2rinHHBZVYXJ7WyQZSzZseicNdb/biwR25p8UThv0a168oxffOq0VxgQ8v77cbKVxZVahfXVTJHAJN00RdT2qC2rEsFrsF3L2hD7oJHFPkwgVzfBB5YGtHArc828E0WmDoxDjB4+LxvTPLUO4V0B7W8b2XuxBLDm2kPW26rW21DuoZ0/mLyhQUewRENSsnLx5vkL4LYEwFclmWIYrisFplQyiJLz/Tjod2DsICcO5sL35zUSWOLRsaf0Tvn/0dJu05u5BNnI64ptMJljjlaA2HI/FgmhrPhTnFMhaW2vdSj+0eREI3Rx0eqgp68IPza/GN1aUocgtoGUjia8934q4NfdA5KWdDLXHpkYYBR8K7XasEpm7DZb4wnkceUxDd3d0Ih8MjPoZs8Y4UNMXstHDJhiRJYypuTmYBlIrQQLow3hDS8OwBWxT74qpy8LCYvSZgL0Zj+SyNvVF87bkOZlkUShgYcGRy8gAWlbkQkAVEkiaa+lXs6dXx3O5uPLZ7APdtC+GuDb345tON+NZL3QBwSI0MNHGevXhSxjyBpiKc0x2yLCMajTLSIggCXjkYYp2dc1Jdr6ZpoimUuf+cGK+Fm7ILpzJoumi04jLlNI4XyG6eQBlFZM3j8XiYi4NT3AOGCmiUoTjcdN1oN6a6rsPr9Q77eyKy9L77epNoC2tQRA4n12Zeh6gj2hmTANh5heTSQN252Tb6ZF17qALxZFsYTUUBE8htP5VHHnm8u2GaJhobG2FZFtoG0+vxzGAmL3Fm8WZjU0oAOr4qndX7hZOLUe0X0RMzmHXlcwcimFbsx6xCFyuarqkLQzczb87HwokOV3gYDWT9GMsqjDvdhTRNgyiKWNeq4alUsVUWOPz5shoA6bU4kUiguMCP65cG8JPzylHtF9EXt/MHAWBJpc3N6vsSuOmZduztScLv4vHj86tx5gx7/adpYwB4pT5d2HUJAC01/+/4IhT5FESjUUiShN+v62DFdwD41lmlAIBB1cDv3+rF15/vZBPuJ1S7ccvpVeB1FVUBWySlFYzngEvn+9E8kERb2J4q/8l55Ti2iIMoiohrJn74UjtUw0KFQ2C9dL6fTRZlQ8wQMjMdknTH4bz19NKM3z2zP4IXD+YubC8ulzG/RIZmAg9n2aYCduEfADa2xTOy0Y8WEokEdF0f1SGK7DLHC7FYLOO7RZySCtXEu5y8nLIxnSALz5F48Wg8TVXVMTlkOWOgAKA/Nc3nvDeRJIlFUdHpRbbugiCgxG1/fwY1PkM4tSwrZ7PpWJAvjKfPgzzyyCMPJ+LxOJqbm0e0xDVNE6ZpDlsMM0wLP0/FuBQqAr51eilCcQN3vN6Dzz3RjnXNcXAAzj0mgA8dZ086E5OMaaMXfNwih9XTPZhWMHQdMizbDp1qnhbsbG+a0v7N+l7c9kq3XbAvdOFXF1biwrl2wXphqb3GeCX7mr2/N3dh3NlsCYDlKbvdbkiSxPbd8/vTnOasWT62dnaH43hgR4gVboeDIqQL/J8/qRi/fE8lFlfamo5zmr1Q4bGjPbOR4aMP1uOV+gibNK8JiLhpZTHOmh2ABeCX63qHFIAHU5poTLPw4sGRG/KvXx7E++d7EI/FoOs6NjTbr5Vdt+YFOYOHUJyP89bhkd2DaBrQUOQW8K0zSvG5k4vx1w/MxHlzfOA5IOo4J+j5uVDkEfG9s8oRkHns703ix2u7EYllfsZL59uc0gKwvjn9GQWeYwMha+onbxjBmcc9Eob7vpmWhUd2D+LGp9pR368hIPP45uml+OIpJfBII3+HnSBtmfQmcjJ11hJo4C67KEuNzsN9hrHE14zEKb9yaik4ALoFFieQzYkJgmA7XXIch1Nn+PDbS6pw0Xy7AfeZ/WE8tbsv4/PR+zpjwQ5Hc8sXxkePUDtayBfG88hjCsGyLHR3d6Orq2tMF854PD5icZzI10ggSzmnMJH9vLFaf0/WTX020axOCX3dUVvoOWeWF0uqvJAkidmZA7lzUrKxqyuBTz3Sgp4cnZmKyKEmIGJ2iYzfvdWPC/6yF1c92IxPP96GG59owo/X9uD3b/Xh/h0DeGZ/BG80RbGlLYakkV4EZFkedgJKluVRt3G4Y0FZ3fTaPM8zIenfjqmhUCJlLSPKbH/NLvUNeT3TNNkkNRGew8kDmYoL8nBIJBJDPiMRIrfbzayAKFtxPOC03yRHACKMTpvY7G3MdSzi8fiwZHM0ounxeBCNRocVQYlkk0BGNwOrpvugODytKJ/Ssix2zjvPaWeEAnWz0rWGPtfhnDOTbXk5FbNxgMnfD3nkkcfUhqZpaGpqYtdj58T4zMKhDUXJZHIIlzMtCxvb7OevmhVMR3q4eHz99FLIAof6fg0eicOgauK5PT2sYUrk7ebCXb0mW5/Gku8LTBx/8LPCeNpK3ev1DikANfTGcNvLbQDsQvLfr5zFJh6oGYvWTgBYWKbgzosqcUpNmj//4rVu3LO5D597tAFdUQNVfhE/v6AC84vFDLFGFEUkDA4NqUxFkQOmFbigm8CKGi8uWFDMHv/Xt7rwn13pjvsV1W7MKLB/Z1jAE3vt4vLMlCNAbYHLtpc3LWavTnt2UZmMZ/dHMKBamBGUcMf5FXZTg2XB5XLhj5sH0ZwSIkmgLFAEXL+sMGOyyAndAm5/rRfbOuJYVDZUkNrWbce3nDwjiAI5cy29+80+1OWYvuI4DlcuCgAAHtvVj7CaKRTXFkjMteCFYYrrkw2yKXeCmh6dsUtOgXw8wPM8OI6D2+1m5yZZXOaKK0okEizGJhvDNcuMRcCke5CRhFznPRFNhqUL42LG6zijtwAgmXp/TdNQ4rUf2xZK24/S67+T7kOmIqYq380jjzyODqLRKBobG5lWNBIojzgX/rEthDdb45AEDp8/uQgP7hzApx5rw8v1UVgAVtZ6cNfFlbhmeSme3BMa8nxZQEbDXsDFoTaQ/n9ct7C8SsEv3lOJ6cGhfNdpO+5z8fjh2eUYVA188cl2PHsgAg527vLPL6hArcPBZEGprQNRvfpAb+7mIYoncYIsuSmKRJBkvFhncxaRtyNwrn2oCRf89QA++lArXm+KI4dLOcP0oIh/XzUN1ywNAgDu2RJCTLP1Kt20mNYHAK0DKg46bMzVVFeAyAMra934v8uq8ftLq3HmLB9uWlXCXKFue6ULm9vSA1R/2hQash2zc9xPAMDaxhiLPemLxLG9Mzf3/8OG7oz/Nw1k8kBJANa3xCHywNdXl6DIYx/nYgW45fQq/O3K2QgqaQ3k2QMR3PZKF+qHmeavKZDwnTPLIAscNrUl8Os3ujOOValXQlCx176ns5yIzphpF8bfbI0hok5urF4ikRjCyZxNjzQA5tTzuqM6bn2xC3/e1A/NtJtl7764CqfUjh6jCNgciwZ1RFFEJBKBKIqMv+WKKxquJmAYBssUz8ZoQy40CU855tko8Yo4JeVYtrYhhr5Uk2yuaxR9FnJh9bl4fO6kYvz43HKcNt2Di+b6WPHbqctTNOrhFrgne1hsKvLfqcopx1btyiOPPCYc4XAYHR0dTJgb64VzuJxbEkFGK4xTwa8rqqFAFlgnGM/zcLvdthX3GAvekiRNeO4uZei53W62UBW5BUi8TXA9EofrlxeyghtNSng8njF1dv12QzeG0fqQ0C20DOoAMo+NR+JR6BZQ6BZRoPAoVAQUKDxK/Ar8ogVFcUFIyZDZhSs6PolE4rC78umziaLIjhVZ4G/riGN/rwqBswXTnqhdQN/ebNseBRUeLmhwuVxDrE2zrRcpg3Cs56bL5XrHTRoIgpCRH+MU74mwkeg2VivYkUDTLM5zc7R9NhIZy7VNYxEwKb+cRNDsbj4iMaIoIqnpWNtoi61nz0nnhLrdblbwplxHSZJGvX5QQf9IMmeORozDVMsYB6Yu2cwjjzwmF6Zpore3F93d3WzNME0TrYO5rdQJ5ObhXJPq+pIIJUy4JR6zA5kuQjOCLtxwUhF+8UYvKzQ/fSCGm1dX4J/bB9iE8J/e7MauLj+MlL2mBQ6macG0LJiWXai16N8WWG62YaZ/ZsHxewswYbF/O39v/9/5uqnHW/bjDWoETb1HJGni6vv3pbcptS3kGgTY3PIT/6kHwMGwLPZaFr0uwN7bicEk8J9dYVgAij0Crl4aZLbPxAc9Hg/6Yxq+8EQLe977ji3EQ2/3wyVw+PSKIJvc/PfOMB5I5ZPznP1+Z88J4m9b0laWxR4RN59Whtfqw6jvT8Il2LnNd7zRyybZPRKHmGZhe6f9/2WVCr5+Wik8KX9LWZbxyPZOPL9/ADwHXLs0iF+usycwrjg2gHu2ZVrhVQdEtDrcCF5viOD1hgjKvEPX5r9t7MZxpbYE8dv3TcNH/tVg7w/OblK4/ZVu/PLCSviyvDZXVLsxq0hGXZ+Kx/eG8eElwYzfnz/Hh51dKp47EMEViwrAT4EJXI7jIEkSs+Z32mICaf7ucrns78U4iFiJRMKe9k/xOLInHQ4U+yTLck7+OZyAORqv5Hmenbe5eCU1m7LHp94mlLJpnRaUM/YPFWGc9zkEygPtSWXeU2PAkbjoTPZkz1RFvuEyjzzyAGyNoaOjI8MKdyzXh3g8PmTNeLEugod22q+zrNKNH6/tYe49yyoVXH1cEHNLZPTHDXzlqSYMqCamp1yOGlOW2aoBdETSa8iNK0tQG5Rww+PtrOj7m/V9WFqh2NOxT7YhPoyEJQscXm2M4l87BmBYNl+7aWUJllQMHYZYWGY3e1Hsx/4cmdmjOR6RQ96T+6MsD1s3gb9szm1LDgBnz/SgPqShrj+9H39xyUxwVhKXzg/gmf0RtEd0/PvtAXzy5Ar0JgVoDlK6oTWTB/hcHD66rASXzPVCEAQIgsDcEQ3DwM2nlsBY2411zXH88JVufPi4Aty7NZTh/APYjaMlXgEHU9tF3FQWOOzvTeKFgxFcvLAYT+/vG8KRCWsbwvjCqnIonA7LstA8kHmgtBQd/3/HF7HGBCDtalIoAlV+EaFEmreva45jXXMcp07z4ENLCtj5Q5hXIuNrp5XgB69048W6KIrcAq5dVsh+v7zSjZfqo9jbk8xwjZwZlDA9KKExpOG1phguOMaf+0NNEDiOg6IoLEozm7e5XC4Wj/XUzm787s1eRDULssDhEysKcf4c3yHrZqqqZuhe2RpxNrLjQLORSyMejVNSoyVxXJr6JnAchy+dXIwNzTEYFvDz13vwo3MrMvgvuXOSU6imaaxInkgksKhcwaLyod95Xbcbeg93Upy2Lz8xPnW1ynxhPI88jjJ0XUdXVxf6+jKz9SzLYqLCSKD8jFxCC5DOjRzuIq7rOja2RHHrcy2YEZTwqwurAKQL5sDwxfdsTPSFjorilONHn4vjOFy7rBDbOhI4cZof5UEvTNNk07hkPzMWFHskNAzYC7VbBOaWulHskVAgcyjyulDkFuHhdRT5Uv8WTBQGfNB1ndn1kc07s7/WkkzkdS7guYSi0UAFf+fzaNGjaWZatHmex3932Vab80sV7OxKoCdud+o1p8Rxsiocy7EjG8OxFsbfaWIKTaVwHJdToKRjR3mNYxEGx4LD6R6k7k3nZDZgf1ezmxfGsp2qqkKSJHYOy7KMZDI5ZB/wPI+tHQmEEiYCMo9jSwQ2DUTb4WwaGEtjxHhY1OctL22MZIefRx55vDsQi8XQ1dU1pNmoJ6qBhhsKFT5jusIJWg9o3aBp8eMqZEgCxzKUSWw4a5YPu7pVPJOaqtjdFUc0nsTJNQo2tSWgmUB9v4r6/qnbKNcyOPI6bFs0Hp7AUOwR0BMz0Bsz8JO1PZB4Dosr3Di+2oMTav3waTF849k2tKUyJhUBeG6/LRhfs7wElX57bX5gWy/+tsW+V/C7eISTJhSRwz0bu9DpKOJ/7dRiLCiV8OJ+m3l2R3V8/sl2DKomayJ1ipPnz/HjhpOLwTs+396OMH7/li3QXr+iBE/vTxfjL5rnxwcfaMr4jM4i9oXH2KLbi3URdEWH7rMGRw5kocxhWkBE06AOwwICMtAe0fGrN3rwzdNLM9ZajuPwwWMD+Mnabjy2J4z3LQhkWECumubBHzb2oytqYEt7gtn+H22Q2JyLhxHHSiaTGd+pI8Xh8EpqiNZ1PWNbc73WWLivs9GS7o2c92JUkCdwKZN0igCoKZDY46mIYG/L0HOqJDU9Rjb6uq4fcfNivjCOw3YLyyOPPP53YFkWenp60NXVNUQXGOv9sCAI0HW76Lm7O4HfpKyORR54s8W+zi8sU3D1cQVYnCpMRZMmvvNSJ9rDGir9En54dhkK3QIa+m3762ze9tzBKD5xfCGuWxbEHzba/MWwgJue6cQf31uFr5xWhu+93DV02zigN27gn9tth8VTp3lww0lF8Mu5OXKZV0RJitcBQHtYR0Q14EsNGLlcLraW05AOrSe6ruMfb8fwwoEBltWdCz4Xh1NqPShxC7j/7UFU+kV84ZQSGBZw6wudWFYuQxQ5yFYSXq+te3765DJ854U2PLI7jLNneXDvtqGxM07ccWENphXYQ03OQifFIIo8h2+eWYXvvtCCjW0q7tkcyvk6QYXHhpY0dyl28+iOmTh7lhdP7Y/gb1tCOH1OEe7d2jfkuQIAAzYn/cfGLnzmlDKIoojG0FCOcd4xBbho7lCXy1xYXC4jqAh4rTGG15pieL0phtUzPPjQ4iBqHNP/q48pxucSJu5c34t/7xxEkUfAJfNsd6KL5/vxUn0UqmFhd7eKhakcbo7jcMYML/62NYQ19dFJL4xrmsaG0XLxHEEQEFEN/HRtI15ttL9b80pc+PLKElTniM8cCw6HT1GjNTA06i9bIx7LwJFpmmxinjR+5/MEQYDHZeGShYV4ZGc/tneqaAwlMT3oyrkd9LxsN6LhQENThwtRFMdFNz4UTEUe6/ON7Ts82cgXxvPIY5IRjUbR0dFhT7OkuuWHs5kjIWA0xGIx1uknSRKzznP+XpZllpnofM17t/Tgnk02Oa3r1xDSRVQFXKwwD4BNXKdFiclHrkIdfS7TNPG+BQF8ZEUlotEoE23JOiVXXvdw+OCiAmzt6IJhAXEd6I/ruG5pAeaVphsFRNHDBB1JktkiSxPFNL0tCMKQKQwqWo51gj0XKIM6F0lxChgtEWBTWxw8B6ye4cbOrgQ6IxpM00RLqhOTCuNjXaiTyeSYCq2Hm+l3NEHCJX22XMeIyNhY7MMmErSduazPaTLJ+dixvqYgCOwz5vr8lmVhbZN983PadC8EDkMm3sd63SI4byDfKZiKQqHf7x81eyqPPPL434JlWawIbpomc4vJ5RbUEkrf0OeaFieQ2ELNUpvb7eetSBUaSZwgK2iO4/DJFUXY35tkNo2P7wvjUydX4JP/bWCvO69ExrEVHhi6DpdLAgfANHRwAHiOA8/Zmdr0f44DZEmEYejgkP49eyzo/7ZQxXN2RhiXei7veC323NTvf/lGDwYc/pQ/PLsMksCB5zh43AqSqpp6fwmarkFxueCSRAAWOACqmgDv2E567V3dKn68tgd+F4/fX1oFieeQ0E3s6laxrVPFprY4uiI6NrfFsLkthj+91cOmawg+2RZcpwclXHFcMZKJOP61pRP/t4mcfgQsLJXwRnMCCd1CQjdQ6hUAcOiO6sz1iDLUX6yz7wlmFUr4+PIgvvlid4YN+oVzvfAoaUvrmGbix2u7kTQsHF+loMonYk9Pkh3D9sFkhgUpAITiaT56cq0Hp8wM4uqlcbx4MII/bcqcgEoaNjddVqkAponfXj4dF99zMPXetlC+viWO/+waxAeOTbvSeDwerKy1UOUX0RbW8cz+MC5fmP69LPI4a6YXj+8N49kDkSlRGOc4jnFhcl1ycjJVVVkT9NF2oXFGPjlB8Qp0/3UojknUaEkNzc7nEk+lqR3REcvjl3n4HPptZgF9KEq8qYnxVIOILMtHNC3u3L53M0pKSqZsI2geeeQxMTAMAy0tLWxIgAqnR3ItIK7YGbPw7Ze62dSxbtrc5OqlhTip1su0lUhcxQ9f6UJdv4agW8APz6lAoZtHAhJ+t7ELLYM6eA5YOc2Lt1piUA0L65pj2NASw0k1bkwvkNCYypnujRv47ktd+NrqUgRcHAaTmcV9w/HfK44N4OqlwVE/64JSGWsbY/C6eESTJg70JbGsyjNkEjYej2Njaxx/2xpCYyg57MQ0ABxTJOFTK4owP1WAjSVNfPyRVgDAhxYXQOA5CAB+en4Fe44sy8yeenm5iAWlLuzuTuIzj3eM2MopCxyqfAKLwHM6rJDGIUkSntsXYvcAhFlBEXWh9PrYnzDBwW5ZK3ILkEUOgImz5hZhR5eK5gEN33imBQOqw2o79fjqoAuwLDQNaHhq3yD+38kV6OqLsBxzQlDhceNpFTCSY9SLOB5fPa0UVy5K4p87BvBGUwyvNMSwtjGGM2Z6cdXiAlT5bXfD8+b40BfXce+2AfzxrX4UKgJOne7FMUUu1kz6yO5BVhgHgNNn2oXxt7tUdEV1lHknVxN0Znxna2ibWqP4yZp29MYM8Jx97lyxyD5/JhtUo8hGdoPNoWiHpFGSHkug5pv/d3wQT+8NQdUt/HRtD+6+pCpD33U+9lBwpJzwaGiHU60wznEcioqKjvZm5ES+MJ5HHpOIWCzGMnmcGO6idSgXUJoUzS6KEyhvJBaL2TbrmoHvPN+CjW2pjkaRw0/OK0dQ1BGL6RmiKoki2SSRXo+KcxN1wR9uepU+Fz2G/m0YBhKJBBNSSHShJgRnwd/ZxQkAi8rd+MH5tfjmM82wADSFNNz0TAc+eGwBrlpcAEngWGE4u3DoFLyyLcgJlHt+pPZ+RITp/wTKGgeA+16zJ3pOm+7FkuoCAP3oidrde61hO8unpkA6JFtomqgezVJ9PESpyUb2+UXfFSfhpM9O2VBHG7m+E87v6aFavhuGkVEUpxwd+u4kTeD1Rnsq8IyZ6e5Lp4vBoRLH8XAWmGziN9WEwoKCgilLNPPII4+JQ1dXF7q7u4f8PNc1qqk/vZbNDA5fGCdomoaYwWFPt/28FVmFRmoCNAwDQb8X3zy9DJ99vBUJ3cKLBwbxqRNKcNfFVfjKsx0YUE3s61FxzmwfLphTyGI2nEIFz/MQBIGts7S+TUSTXalPwoBDvJxTLDumni0oJQHG3YjLCEJ6wlX2++x8yFRDKu3vf+9uBwCcMs2DgtREvt8t4bySAE6dHoNlWeiMA281hbG+2c5bzBZKaQrp/Dk+GIaJp/cN4o+p6aeAzONTxxfiJ6/3sMdfONePT59cgVueakR31LaGbx3UsLUjfbwvmefH+xcGcPur6XOl0ieiPaJjb08Ss4sSLC/97g29aBnUUeIRcMNJRfj68+nnLClX8MNX0u9NCDkmnxaW2TnsPheP9y4IDCmMA8B3XupCtV/ExfP8OHuWD6fUerGuOQrdBE6qUbChJYG/bw1hbrHMrEw1TYPAc/jAsQW4c30vHt4VxsXzAnAJ6XP9/Dk+PL43jA3NMfTHDRS6p45zkWmaLKqKOItlWaxxebInSYZDrmuHMwv8UJsf6d7MmX1ODQOKYh9bQRDsXIIUagtc7N6P/T4Lzq8NTYyHkyZUwwJ/hM2W73bLS47jUFhYiEAgcLQ3JY888phEGIaBhoaGnLwrl1401uuWblp4cu8g/m9zPytEV/oEXLOsEKumecA7rrnxhIpfvNGLHZ0q3BKHH51XhZmlPtT1JfCNp+vRFTXglTh89bRSrJpdhNteaMZL9VFUByS0DmpY12xvOxVfAWBHl4ovPNk2pCiejdebYrhycUGquDs8FqYK4y4eiAI42K/hxOl2zFAooeN3b/Zhc1t8WOt2AFBEIJH6/UXzg7jx1HIkEglm7fyfPT0IJ03UFEg4fUamIxw1sNH6+lpLEn/b1I32lPNQ9qcsdPPoj6fXtFlFLnCwmGbjPI6WZUG3eHz6Pw0ZU/mKwCFhWKgPZX6oIreAvlRz5LFlMsv1NrQkPntyKb7+bBv29qTXZLIhp/24vFLGj17tQdIE/rOtC8eUpCazHZ/jsoUBiJyFsbYPDsRtLXsGgG+sLkVdXxL/3B7C+pY4XqqLYk19FOfOCeCDx/pQ4ZNw5aIC9MUNPLUvgp+/3oMCRcDicgVzi2Xs7FaxqS0B3bQgporLZV4Ri8pkvN2l4tWGaEYT50TDydGoSTkWi0HVTfxtawiP7bHdQqsDEm5aWYy5JUd3aCKXxnyoNurZcGq05JhgWRZEUYQkSbju+FL8YUMXGgc0bG6LY3mVPalMmeLU/D3W9x0PR6d3e2Hc6/XC6/VOWUfZqTfylEce/6OIx+NoaGjIeYEajlQeygV0LMVN+n1LbxjXP1TPiuKVPhH3XTULi2oKmQUQ5W/IssxsgLK3h14vFouxhWa84Xa7IQgCXC7XsBdSylN35jVm27dQ12sikWDbS51mLpdtsaIoClwuF5aU8Pj0Cekik2kB/3p7AF9+ph0tEbDnZX9eEnNdLteQnxPI2v1IQY0OZP/t8XjA8zxUVUU8HkdrKIG1KfucyxcGUJYaveiLGwgNRtA8YJPWmoDEivVOSJIEt9vNjr/H42F/sj/TcNv3TgPlfTtBlrLOx5AVGIHcGpz/93g8kGU547kTAYpScB4PsuSkovbhgHLUgfQkvaqqWLOvF3HNRIVPxPwSu8lEURTE43HW5U3FgrFgvJwFjvak1dFGIBDI6R6QRx55/G/Csix0d3fnLIoPh7ZwWgCYWTj62qQoCt442A/TAmYEJZRkTUTwPM/Ww1gshnKfiFvPsuN4TAv46+Y+zC7z4wdnl9nbDODuDb24+60BaIY1ZH3ieR6aprEc5ng8PiFTm16vFwVK5mfRHCNDNB3rdAOSZRmWZbF1UVVVxgfi8ThisRgi0Sheq7cFqTNmBxlHczYKchyHCg+HU2cXoi2isQmb2TmOxx839uPie/bh7jftwrJbBE6sdrOiuMDZk+63nFkLiTPgd9nr7lstcXzpqXaW+X7ZAj8unufH15/vxN7eJMtynlVkf5a9PTZfi8ViWNOs4ZWGGHgOuPWsKjx/IIrOiMaes7BMRms4fUympRosKM+TB6CIPGtyAHJP+PIAWsM6/rCxH9c+3IpiT/r+4s2WBM6e5YVpAT99rRs9MTsmiASsM2d6UeoR0J8w8MLBzLiAGYUuzCtxwbDsDNOjjWyuTBaYBDrnszlMNneUZTtvO5cTxHjDsqwh70M264cTAeV8DbqPzL4nM00TnEPKrwmIjN8CuSfGnbdSXomDO1XIiBjiEd+PHk1HqKkAURRRXFw8Jd2R8sgjj4mBYRhobGwc9hqf63owmqZlmBZero/g04+24k+b7KI4B+D6ZUH8/tJqnDbdC96xTgqCgN+/1YfXGqMQeeC7Z1difrkP7aE4PvtwA7qiBir8In5+QSVWzS5CPB5Hsd8u/J1c48ZfPjALFxzjgyxwQ4rDvanC8HAKFgebl9y3fWQLcsCeGAfsRkQAeKUhiqv/VY9L7m3ERx9qxetNQ4visgCsqFLwieNtjTHh+H37QAL3burEWy0xNPVF0dkfxoPbbUfPDy0qgOySGAegxq3ugSh+ta4H77+/CT9e086K4rkGg4vdmWva/LJMzcBZILxvUycuu6+eFcUFDrjl1GLc+8EaLC5zZezXJeUyagLp155WkKmZ1Ra44DCDAQfgllPTOd6n1CpYNSOAgGw/6N87B9CQKqw732dBiZxTW/J47Cn97NiPmGYxHRuw+e6tZ5Thl++pwIoqN0wLeHb/ID71aBvu2tCL7piBT60owspaD3QT+OGaLjT0J7F6hr2fVMPC1vbMwugZM+1mhZfqopPa2JbNT2KxGFpjPG58uoMVxS+a68OvL6zIKIpn80q32w1FUSaFV9L9EME0TaYvU3PooYJcTC3LYlol3ZNdcoybNSffub4XHo+HOatRQ+ZEa7TZeLfHPiqKgmAweLQ3Y1i8u1l/HnlMAobLenTiULvvs0FC3Wivoes6trXH8b01XUimNIYTqhTcekYZFIljudSSZHc8ZndH0eJD75NNkMeTFGTb+iiKwsgN5YqTxTtg7wOO4yDLMiP0NMkK2PtmuOKZM1uE3uOieX60hTU8uicMgQNkkUN9v4YbHm3EVYsL8MFFBZAkK8NeEEhPhGSDCBtlj482cT0WOHPWSWzjeR6yLOPPm9tgWsDyKjdmF7ngVgQ7G9Sw0BPT0ZYiu7NKPDlvdCRJGnHimyakcp1zR2ITfzRBx8R5bIhs0eR1PB6HJEks24eOqWmazCaTRH0gXTSfqMIt5clzHAdFUdj2HmlXI1npiqKY0eSwpt52pDh9hodlUdJ76brOzj9BEBCNjn6jMF7OApNdGJ9KZFMQBHi93im1TXnkkcfEoa+vD729vcM2oFHBOhutA2nhYSQrdQDMpo7yxXPZUhNXJFiWhaVlIlZNcyOmWfj4CaVIJBKYX+HH/NJ+7OlWwQF4Zt8ADvbGcesZ5agt9rG4G7LqdK4b4zlF63LZMUHRaBQe0X4PkbetPJOOwrgsy9B1PUM8oXWK3ILITt6JPd0q+hP2JNOCIn5IzA6heUDDrS+2ojdmoNov4kfnVeCbz3ew33slDiuq3NjYFk9lm9uI68ALdWlXqA8sKsLK2cWIRqNQFAVKqjD4XKpY7BY5xHULBYqAm5/pQDhpotwrYHrQhTdb42wiak+3fQzr+pO48zV74v2apUH4RAP/2WVni5spMXt3b/p4+F1AkZtHUyj92bySLbYlEgnGkxQRTCAWONu21CUC1y0rwhN7B9EyqOOJvWH2GhZsO/cZQQkNIQ0/WduDX16SnpaSBA6XLwzgDxv78Z+dAzhvjo9N8QD21Pjenj48eyCC9y8MHNW1kYrMzkKDqqqs4Zi4i6Io4DiO8S5ntjbHcRnfsyMpTo8F9F4UpWBZ9r3OeFiT67oOl8s15HstiiIEx71Itd+WqJzRVOyeNMfh5DgOJV4RzQMa2gcSKC49MsFTEIR3dRak2+0e0jCdRx55/G9C13V0dXUhFAoNex2iIZRcz80Fy7KwoSWOf2wLZeRF8xxw2znlLEc8G3/b1IOn90fAAbh5VQmOLbH5V4HLbiLsiOgYTBh46kAMUc3C0poAfJLNeQZUA7OKFdxyRg2uXRrBM/sjuG97iNm2s20bZj/Qzx/eNYhV0zyYN+KkrW0fTrEydX1D9TCes6fir15ejHPnFrFC3gv7B1BTIKHFwck3tyew2VF4Ja7kkTh0RjW83jCI6QUSynwitrYn8PdtAzjQm3k8KvwiPrgwgDPmFOKaB+sy+KOYJfXV+rkhelfU4HDDYy3oiaaP6bGlLvzonDI7tzppIpxM70wOwGnTPax5E7Cjfgi6aeGHL7Vn7P/VMzx4oym9r1ZML4SLt4d47tkSQiRp4YWDaT5ImFUWGMJ7sqP8nOduWE3HQTlxTLGM755Vhn29Sdy7tR+b2xN4Zn8ELxyM4Pw5fly3PIhQwsCubhXffqkLN60qZs998WAYK6rT90KnTvPg92/1oWlAQ31Iw6xR7qvGC86cbcO08J9dg/hn6jwvVAR88ZRinFjrhaIobJIasLkdx3EsctG5PyeaV9JxkmWZNXZYlnVE7+kcUsvF176wsgw/eKkdPTEDj27vxLlz7Cz4RCLBHGTHMjU+XpGPk+0KdCiOsJOBqc4r84XxPPKYQBiGgaamphELoCMVEUe7gGYXj0d77D+39uEf20LsZ1cuCuDqpYUs/w2wF5loNJpzgRzOzpzALCZTi83hLnZkE+78XDyfFhmdVuhAukBMRcshdkCpgh2JK8PtL6d1JwB8bHkhOiM61rfEwXMclla4sLVDxX3bB9A6mMT1y4tQ4pXYvqLXVVUVXq+X2W3ner/DyTbJBRKNJEli+zuctPD0Xrvb9fIFfrZ9ZV4RrYMa9vcmoZkWXAKHoMtEPB5nBU2yzB9NSCTrnlyF8aliB3mooGICWaNm2+K73W5md5nrM5qmOWR/kHPBRDcKOIvh49kB6fw+DKoGNqWKJGfM9OUkiaZpsvNwtM/Ncdy4EM2jYXk5FSAIAoqLi1FcXDxlbYnyyCOP8UU4HEZbW9uIjxnuJr550F63eM52i8kFJ08yLYtd851iEGG4687XV5fB4/GkCn82dzx9ugd7ulVU+UUMqCb29ybxxSfb8O2zqzC3kGfvDaTXXGdEDvGNw+VNxBFpTaPpFHtSyQInugCYGe9P/85e76kpjhrSTNOEqqp4vcle706s8UBK2XsripKxDjb0J3Hri50IJUxMK5Bwx8XT4ZcstDrsKr+4qgywLLyScv3h2ZZl4sEdfdjcGsGyKgVlXhFbUtbpHIAPLynAqw1RNA/quHebLZjNLXbhW2eU4Zn9YbzZGoee8nBvDevoiGj48avd0EzghGo3Pry8DN99vhVJw2JZndODEv77dloA/fjxxUMmtisCcgb3l2UZ5X4JDf32Piz1COiIGkjowMXz/Lhorg9bOxJ4fE8Yb7XGmTC97v+zd97hcdRX9//MzPYiadUtuTcMxjam2RTTTK9JCCmkvumVkB7SgIT0kIS8ab8QUkgjCYHQewfTwZhi425LsnrfPrszvz9m7+zsatVsyYGXPc/Dgy2vZnfKzvfMvfec05LgzYsDdMYybOxO8et17Xz48LyT0ykLQ1z34iCdsSwP7Yyxdn7I/rc1c4Jc/Uw/7cMZXuxM2Vbs/w1I9mfxoHEikUBRFJsnOf/NySNLXe+igppuZyYn151KjlG8rUAgkNt/h2LcoTqThjoU5p8XP43WBjRaBnU6hlIcvI+N8f+GUvq1YKXu8/mor68nHA6Xhy3LKOMNgs7OTvr7R0aeCGTov9Q9qtQatb49wbXrB9jcmxOdaIrtKnPxUTWjNsVv3zzMtc/1AfDxI6s5dk5+IM40TU5cEObuzYP0Jgxu2TjALRsHmBHuZlZOsTycMuxBrrBX44KDK6kMePj5uq4R7+V3KaxdVMmtGwdG/JsJXPV4L1edOcPmcplMhj88P8QDO2IMpUevOYQ8CkfPDvCRw6uIhMMkEgk8Ho8dHZLJZDj1gAi7+hL8/UWrVnf07AALary0DWXZ3pekdSBNJneo47rJtetHV7CrwIH1Hj5xZDUHNkWIx+MEg16Onxfk9s15fpY2Cu/nwynDdjbUdZ1fP9HFTZvyDWmPCpeeVM/hsyrQdZ2WQZ1vP9jFHodjkAn85mnruqn0qgymjIL4mju2RNnUU8hTNnQk2e0YCDD1FCng9EVhm6tu7y/k3F6XgtdMYZJ3NQVsEUYppLIm8WSa0bz0DplVxeIaDy93JfnrhkE2dCS5bfMwd28dZu2CEIOpLG1DliV+2KMynDZ4ojVBQjfwu633D3k1jmwOsK4lzoM7YvulMS5im0QiwUDGxXfva+WV3HDr0bMCXHxsA9VBj+3GUwynwM2J/VW7dfLWqapXFn92EcutaoLGkIuOaIarn+1n7fygfe2kUilSqdSE3IGmiv++URvjlZWV1NXV2cPmr1WU/ZHKKGMa0dXVNW4RTxqbgUBgxI13vGbPeKpe+z10g8sf6LKb4qoCX1lTy3sOsaxsStmkS3PUaaEtTcNgMGg3vuXB2efz4XK57Ew4aVJPFmK14lyoXC5XQaFN7M+dr5HjKNOYUtxNJpO2CimVStmqeNknmV5SFIVMJlNAFjRV4QvH1rKo2kM0bdCTMLn4mAb8Lnhsd4Kv3N05alNO1ESjnUOxQp8KFH/uG1/qJZU1WVDtYUWjzz5HYqe+Y9D6TM0VLjy5cySFXXntRBbvUout0z5zXyEWO+NZ/IgNj8fjwe12lzyu0viX816q4CP7LGrp4qm24Vhp9ddkITbn04Viq859gfMcP7YrTtaE+REPsyrH3/54JNvv909JQ/uNZnmpKAr19fUsXryY+vr6clO8jDLeIDAMg/b29nFfl0wmbXs8WesM06QjavHRprDLLvY54fF4yGQyduFiS2+aoZRBwK3YtpETRSaTKbi/r5kbRFWsJuxlpzSzoMbLQDLLF29v4Y5tCYLBoN0AE0VDOp22o27i8fhe3etkgLTYHro6lM8wBBiOJ+3oHhlcTCaT9sCkPNA7lb6idpDIlSdarebmCQsq7XXJ2fDc2pviknuspviCag8/PWc21QEXiqraVpSHNHrxairfeyhfyJWjePqiEMfOsbiD32XZhG7pS/PPl4b4xZN9xHLF2jlVLtbMCdiZjxnDshj97ikNRPya3XTsimZtZe5P1/WyZzhDXUDjs0fX8MSOAdbtjqEqML/aev2iOq/tNuVRLUtzUyl8dihuaKZSKZY15I/7ssb8ddQRtc71yhl+vnliPVef18SqmXludOPmuG1xf9OmYR7ZlS+A+lwqbzrQyj/+10uDGA7O6nerdh7nXVvzhV6Xy1Vg3TgWhFPKf6U4lXN7pXiq01VJFCpO7il2/ZO1sRSVixPTbbM+lZEGpfi3ZaWeR6nBHY/HYz2njLLd2oB1f+iJT338wv7AdMRGTBRer5fZs2ezYMECKir+uy4LZZRRxv5DPB4fsykO2JE5o62dUkPc1J3iq/d28vX7utjcm8arKZy2qMJen9+6tIKTHENsTjy6K8avn7Ka4u9cVsmZi8MF/64oCh9e1cgf3jKT75xcz9r5QXwuhfbhDE+1WTzrxc4Ut7zcSzRtiRI6Eyq/fmJkUxwgkTG5deOA7bRTjN2DOj9+rJtP3tLGuX/dxZuua+OmV4dLNsVlC987rZnr3jabi1bX4svVJMUx0lmT1HW9IOrl/YfV8falFXx9bTO/OGsGbznI4jb1QRfnHVRV0GwuhgG83JXms3d08pF/b+enj/fxx6faWVLrI+LL87PeonXxiRYrwmRz+yBv/duOgqb46pl+brhwDisa/aiqypOtcT53Z3tBUxygIajZefGyZDgV4zIsKvC5FPqThj0o6Vbz1051yMeJ8wpz1AUzKz32miQOoBMR8cR0A13XR60TqarK0nof3z25ge+e3MDSei+6AXduidIdzeBzKbQOZex90w3ruDlx8mIrW/zhXXHMUdmJtcaK+6nEVRZD4kyFV5b63OJ8dffWKB++fjuvdKfwuxU+e1QNlxxXS0AzbEX5ZKBpWsF3W3oT01ljm0ohj3Nbzpq4KP7jumkPojgxnoK5uAexL9jfTer/dn2woqKChQsXMmvWrNd8UxzKivEyypg2JJNJent7J/Ra5zR8MBgklUqRyWTGvYFOxIK9ZVDn0vs76YpZ2wq4Fb57cgMLawqJbSqVspXeAlENOZUJUuQTVbdMZiaTSTs/Wxb2yagZnFbQYjsvCiGPxzNiAMBp3yyKaEVR7EXANE1cLldJxa5hGBNW8PpcKt88sZ7P39lB62Cae7cO8p5DqvjtMwO0RzPctTXGKfP9djNeSNpEJu/i8bht0b2vEJKY0LPc+qp1/N6xosZWrvv9fmp81mfb2W8du1mVHrxer+0YIEU8p4XoWJCBCmfxWwYCQqGQZfGzDyQgmUzazWo5vmIzKYMMco3JtZdMJtF13W4IiGOAZGQLxHZeflacdW0YFpkWlY9pmlx8eztNYTdnHFDB4TNDZDPjn2O59sSuSlVV0um0nQs/XUryiVgDTQTOQt2DO62i9CmLqyb0uzLVOlrzeyque3mf/e1SMBVK931BJBL5rxPeMsooY/+ip6dnwvdNuUcpikIwGGRX16BtZ7igunQhIJ1OF/A9UYsfMsNfYFUtGGt9l88pxZlAQOGw5gBPt8Z5vjXKD06p53+f6OWhnXF++XgXr3TE+MLxTShGnn/oum7zNZ/PN+k1Qwolwg2k0BOPxwloZu745D5vNu92IpzJyQnEdUjX9RF27wAbO6J0RnW8msLS2pGOQBu7U1x2fycx3eSAWg+Xn1hPJGBx24d2p2kZyuDVFE5eWMml9xUOPzSG3Xzx+BksqoQP/qcNgE+tqmFOlYsr1/Wyo0hds3Mgw8duyW/joDoPF62uxpfz0mwOW8dlz7DOEc1+2oYzvNyVQlPgS2vq8LtUfvuMVaA+54Awm3qs476+Lb/ufe6YOgJ+H3qm8BpYWO21hw/lGB09M8EtmyxLdq+S5wO/f7aPrx5fX7Cf3zl9Fuf+abOdj+604PzRoz30J7KctTiMpiqcuTjM9S8P0jqU4YmWBEfPzjfVT18U4s6tUR7bHeejqSwVXq3AWQnyw3ny7OB0vBFHAKdLQTAYtJ9xYrFYwbObbM8Z21Ts6JVKpezhEycvEiWZ5NaPh2Ircuf7TBX3K4YU+KeD+8TjcWsQJieRU7BUPqU+w1hDpQ1hLxCjJ/bfV8hMFtN1bCcKl8tFRUXFf+39yyijjP0P0zTHdSByvlbWGVHtyj1r91CW3z/dzVNt1vrpUuGMRWHWzg9y+YOWE82qmX7ee0hVyW1v6Ejy48d6MIEzFoW4cHllydfF43E8bjer5wVYPa+aZMbkgS193LxxkM29aeK6wU8f6+IXj3dxaJOfDZ1J2+rcCa8GqdwykcyMvuY+tntkQ0zBsnQ/64Aw8ypVLn+oD69LIZkx2dgZY1ld/rOL0AKsWoXUzDZ2p+y67JwqN03BvLvQUCrLLblomYRucNMrAwXvPy/i5pjZAVRFYddAmpZBndahDOmsydbe1Ah7dcFgsnBd3NiT5pI7d/OUo9EbcCt87+QGFuRqxIZp8senO+3MdctfyXkc888FA0nrQFf5VXugsRhnLQ7x71eG7W0EPZZoRXiVppVuTTWFC0UvwtVG4wPiUBBLG1T5NJt3OWEp64N2LXF5o49lDQ280JHkzy8M8GpP2soQAoZS+YvogR0xTnQMdxw1O0zQ00lPLMOLnUlWz4vYzXjhlfF4HNM0UVXVrj3qum43o51xNcXPOcW1wv64zo8f7uaJFuvaXFrv5WtrZ1KhFe6fHJ+J1BmlFu1spkukz3RaX0+ldfto8a4H1vlYVO1hS1+a618e4oKllXgcuQLS/xitZ1Hq2tlb7O/hx//2gGMoFHpdNMQF5cZ4GWVMAyZDNJ0ozpEb6waqKMq4xY/Hdse48tEeZLixKeziuyc3UBsc+dUXVUwikUDTLBIhOYtyYxVC53K5eKEjwZxKFwHNtDOFRTVjmuakmuJSvBR7QMC2p/T5fHbT22llXXwspIgp7y/ZyGNZp08UEb/Gd06byWdu2cVLnUkaQi5mhDTao1l+82Q3px+wCF1P7VUxaiptVfx+P7dt7mYolWVG2M1RM/MWnl6vl8ZKq2jUkbNTnRPJF5oNwygock908Xa5XHbT15nTLsMNcm04LUwnCudwhZx3IcFOMiXEzUkAdF2390FcCICC5rn8m1x3xdeJvNbr9fLyniF2DujsHNBZ1xKnLujiqJl+PnR4JGfFOhLOYqUco2Jb1enCVE0lSoZsb9wqnCvASQsqgPGv9WQyWZgL6cBUZhntb8vL6c5hGg+madLX10dDQ8N/7TOUUUYZ+xepVIru7u5J/57X6yUWi9Gn5wdpRmuMFxcHnskVOQ8vkS8O4w83CX+TP5+yqIqnW+Pcv32Ydxwc5gvH1LK4Nso1z/bxwI4YLUO7+foJDTQoKVsNkslk9mqITHKuRaUjKnQZlpRMSntfHIU84RJSGAoEAnaTfrShNlHGHN7stxvQgpc6k1z+QBeJjMlBdV4uO7GegMd6zUAyy2+e6ARg7YIwP360UN101uIw719Zhd+tsKEjSXcsS8CtEPQofPP+bvoSWdwqfPCwCEOpLH/bMISmQtZRDH6lO827/93G4hovK2f4WFpvnf+hlEHInecv71sZ4cA6Lze8YjWbq3wa7z68gXf8dSsA3TnFkQKctKjKOj9FRedDmkM299J1HdM0ObA2r+R4sSuDqlj1xg2dIxuByWSSn509h4/cuBOwbEmX1ft4vDWBYcJvn+nnho1DnHdghLXzfJx9QJh/vDTEP14a5KhZeYeEhTVeFkQ8bOtP88D2GOcdWDHiuSSRSNgctpifCkd0cilnYyAcDhcMB8fjcTuWSDhCKR4trlalBgYDgQC/eqSVnQNpVFVBVaycUVUBV+7vXrcbw8jaf3ep4NJU67WAz+MCM4tLsX6uKeBRFVRVwa2Cpil4VAVNtbLaXYqCR7P+7tEU3KqKRwNNA0/R8N10ci3DMIjmOhhhr4pWYhAHLL6vKiqQpfiRoj5sXdc98X3nv/s7nue/XcCMxWIkEolpdR0oo4wyXlvo7e3dq4Ec4UbdSYU/PtPFwzvjmFhr1dr5Qd65rIoKn8qX7+qkP5FlbpWbzx9TW7Jesq0vzbcf6iJjwJq5IT52RPWo90MR3sg6HAgEOGtpHYvqAnz0xl34XAr1QRe7B3WebC18Tj9xXogHdli8L5XNWyy7FEt1bYxRovJqsLzRx+ePbyKk5gU3GcWFqvTZzfUtvSl74K6Yb4ggIx6Pc+emvEL/hJy7jWma9MQyfOO+ThK57Umet9+lcOK8IO9fGbG5oxNZw6QzlqFlQGf3UIbdA9aw5a7+VMnBAIGzKb6i0cfHjqimKeciFNcNfraul3W518yp9LBrMM/5FWD3UAafBnUhFy2DFt8ZTGRttyInXCq8/eAq1rUkaR+2+FWlzxK6JBIJHtkV487NpS3jG0KaXaecSK3V57Ia49Hc8ROXThHvCESI5na77ebwITMUVjT6eK49yV9eGGBLb+FzznPtSfoTWVvF73VrHDM7wN1bozywfZjlDV5bnOOsoZca7JPBCbH0luFLyAuNpMZpmiZPtsT4yaMtDCQNXCq8e0UVbz6wAk0d+ZwkgqHxhu5EdGSapv3ezt+ZTvtv0zRtEc2+ongbznvIl9fU8qGb9qAb8Kun+7j4qNqC3xst9lKuzalAqYHq6cRUxVXuC3p6eohEIv91fjtRlBvjZZQxDejqKm3bMxbcbrddwIP8oiQFluKCpVjpOa36BFnD5I/P93PjxrwtzqFNAS5ZU2PnohRDGtuAnV0iikRRc2cyGbxeL0OpLJfe3YqiKLxzRTVnLjKRzY6lEC0Fr9drFxxlv1wuV8mbuSzazgxzZ6NRFjVFUewCjuT67Cvm1/j4ypo6Lnugi/u2RTnvoCpuemWAVNbke/e38qU1dXu1XV3Xpywr0DRNtvdax+1ty6vxevLN4FQqRbXXWpgGclOjcyLeAutzJyGYaGM8nU7b118wGMQwDDRNs7OoZBIPsO1MM5kMLpfLPkfOc2+apv33YkWs81yLNboUIp1uATKdJterfH/kmhLCGo/HbTV3KaLt9Xrth7+Dmyv53Vv93PJyH7e/Okh3LMPNrw7zsVW1Ja93Z0PA+Xn35hjvDaaqqCfHtCbg4pdnz2Bjd4raoItEYmJDIEI4g8FgQQ7U6zkT/LWQA9nX10ddXd1/JQezjDLK2L8wDIPW1tZJP1j7fD57bdvVl1+PFtZaxZlS3EPyfvvjul0QOqxp5MT3eMUMt9tdwOOSySSHNmi29eXumMqB9X7OW6JwYGOYy+9tZWtviotubeMrx9WxvCHPG/amKS7rr7gKyZovCHvFXUh2yGMPsMl7SpNTFOuyv8XnwDRN1uUa407VMsDz7QmueLCbVNZkRaOPb5xQZzfOTdPkd8/0M5w2mBFycfvmIfv3agIanz+6tiAf+96c9WZjyMXlD3RjArMq3Xzp2FrmRTzct83i/FnDanJKs78p7GLPcIZNPSk771GUP3dvs9ZlVYFzDwjRF8/w95w66H0rq+gaiBH0qKQyhq2wOmdJ2OZGqWzhWr6gxiouyoBtcYZfVzxLxKfSmzCIpktfy01Bk4agRmcsSzRt8o6VtbznMIXP3dZCMmPSE8tyzTM9/Pl5hTVzQ3g0hW19aV7uNThydtjmkecsreZnj3Zw97YY5y+rtgufTu7lLLI78zZl+Fj+LnFSYH1HhoeH7cFKiWeSAudYSh0pjBqGYbs1pVIpewjzls3DYyrYXq8oLospjh/Kv8lsSrhE4d8JE3GSKozcqnRb3/mpsFLfn5aX8jz730Zvby8zZ878b3+MMsooYz8gkUgwODh6dnUpiBCleyDK75/r555tUbuhvGZOgPceWsPMCjd6JsP3H+lhW3+aKp/Gd0+fTcA18r7cPmy5WiZ0k2UNXr52UjOZ9OjNnGI+KH+u9FlrQTpr8rvz5/LJm3aNaGg+sCNq52ADdrTQRJbbsw6o4KOr6m0+LcOWQY/GvCprAA9ga2/adhmUtV7qkrbDjOri4V35fTh+bpDHdsX464Y2dg8WHqOZFS4uXF7FcXNLW4wLNFWhKeymucLDqhw/9Xg8dMSyvPcf2/OvU/LrbDFe6Ejy8Vv24FItC/eBZJa4bqIqlnPQzTmr9ZkVLtte3DThzQdVcliTjy/cZQ14fvXeroJmfMSv0p8wWN7gI+CxhvgEFV5r7etMqFz1uOWyOq/KzY6BwhrT7Ig1sFWKe5eCz2WdZ2mMZ7NZ+1oRd1JnrdnJ9UTQs2q2m6PnVfFUa5yfP9pOp8OJ5udP9vO1k2bgU6269Inzgtydcyj6xCoTzeEcVOygJDxSOLJcU+LAoKqq/TnkeWwonuSaZ/u5Y4v1DDC70s0XjqllfrXHVp2L45fUNCXWNBgMjlpnlvqpc5i1OJd6ulyIBFPRGFdVdURN1Vkfawy7OaLZx9NtSe7fHuMDK6uo8BW2QcVBQNT9sHfPn6NhtFrzdKG4Dv3fQDqdZnh4+HXjRlSuqJZRxhRjaGiI7u7uCd/8NE2z1SjFU2xi++f3+0fc8GWRL87+6E9k+dq9HQVN8bMXh/jBmbNLNsWliSj50s5pNmloJhIJkskkHo+HZDLJnr4o9SE30bTB1U/38JGb2nhwVxJVc02q4SXkxNkAdarDnT8XciAWhPIa5zGTqTqxmA8Gg1Nm16woCoc2+fnEkdUA3PTKAItrLHXCw7vitA5O/n1UVZ205fx4n/FTq2v49XmzOWGulYMpdj0AzdXWuY3lGOusKo+tgHJib2xzZAo2kUgQjUZH5CiKG4EUJWUKMh6Pk0wm7b9LXqfYjTtRbNkuwxuicJAHEdme2+22c7Gck5pCFCTvp/i75fF4bFvLWCxmD6zU+DTu2jxUQPgfb0mMaE6WOqfF9khTZaE/GqaDfM2p8nD6IivzSwj7RODxeIjFYvbrp2oQ5L8B5/DSfxPZbHbcTLgyyijj9Q/TNGlra7MHAScCiUhJJpN2wWFHX/6+NafSZeceOpFKpews7+f2JDCB+RE3NYGRc9TZbLYkV5AmoaxB4hoCEPS6OXqOZUF4x0ZLqRQIBFhcBVed2cTCag9DqSxfv7eDW7YkbJegyUAG9Io/qyhGBGGvte/ZXAEkmkjax00KIU67RqcVe3GxYfegTttwBpcKRzjU9U+1xvnWA12ksiaHN/n5pqMpDvDU7iE7oqQ9muchx80J8Jtzmgqa4nHd4NHca7f365jAaQtD/PSMRuZFPOzsT/OH5wcAq8l9+Un5Yc2fnTGDP7y5mYtW17BmToCwR7WtLEWZZJjwk3U9/OixHhIZy+597fwgC+uC/PWtM9EddavPrGm2/xxz5G26FKuwIIMIpZ4HkhmzoMgbTZZuYl51RqP95y/d3sLssMIPz5yNOHfWBjTSWZP7tg3bAwC/XNfBUDRm88gTF4Txapbd6IvtUUzTLMghdLvdI6zOxQJTssWdQ43CI+V3pJgqVpmGYeD3+0sWwCSrMR6P2wODUoAzTdPOrq/0WoVjFath7Pzv9Qyz6D9R6BmmVaiXYn3ArfCWpRMromWyWfs51ePx2Bnj3VOgGN+flpevFavJgYGB/R5LVEYZZex/6LrOrl27Cpwax0MgELBrPV6X5WBjmLB6doirzpzBN0+eyaxKa938+4ZB1u2O41LhkuNqqQ2MrD/2J7J8474uBpIG8yJuvn58PYpZ+t4til5nZIjA5/PhU6z7tWHCDx9qt5viyxr9fOGoSlsFPZgavUapKnBgben61w2vDPHtBzrYOZB3WZTa08Ez8ryyO561LcUhrxJ2Nu4e3TFIPFdIivgUPn1bO997pKegKR50K/z+vCZ+c27zuE1xJ5w14XQ6TUtv1N43KN0UP7LZz9r5QRZVe/BqlgvQnuGMHWdjmHDTprz9uSdHwgzTWq/PXhy2nYNUBVKON9EUqM3lnK+eFaArlqFtSEcBfv+mJq44rZloKss37raGHlc2BVhUO/J6rPXlm7hOjLZOe3O58dESefCAXd/LZrP2+ivblucgcR5dUafxuzc129cQwNOtMd593Xb+tr6XeDrL0novdQGNuG6yvitb0Oh1NuSBgrqlOAtJVJTERcrnyGQybO5N85nbO+ym+JsODPOzM2ewsNZnq+Cl/i2DmeJM5Ha7icVidtPcCRHYOdd8qZk6fzbdnGAqBB6j1a2dGemfP6bOdqu6cl3pqFuJb3Wq/KcK+zv+8LUiQOrp6flvf4QJo6wYL6OMKcbwsNWQFoXBWJNGojAoZd3hVKxA6cxDKLzxbepO8Z2Hu+hPWD9TgI8cHuGcJRWkU8kCNUw2myWdThc0eYon72Tbku8sn3NOlYffnj+fezYP8IdnuumOZfjxI53868U+3r8ywuFNvgLyIkWmYohFZfEiLNbbMrklgwFSPJLs6lKLaTqdRlEU2z50qnH6ojAd0QzXvzzE9v40LtXKQLzioW5+c27zuL/vPLelmtJTgUV1hQMDQo6qo9a1KdO9TWGXleuXU3fLudgbONXczuEEcSKQCUzIKzHu3zbMwlovDb587o7YDgWDwYLm6WjfJbH/0TQr07OYeMh7OYvdMlmZyWTs69K53zK1KQXPTCbDr5/q47bNwwXbfv+h1Ry/oHLEsMZo33nne8jxmU5MxRRmqYcOiXyQY+e8n4wF+b5P9TW/P8nfVDlQgHVNh0IhYrHYXt2rent7qampmZLPUkYZZbw24eSI0rQe7b4uaoFEIjHivig51H6XQn2Fz7YkLOaVopR9Jpcvfnjz6Na6Tp4XCATsddW5Bjq5Wjab5ZRFVdy/bZhHd8X56JH5olFtQOWnZ8/i5+u6uGfrMP/vyS42dcX59KrICGty2Vfnem8YBqqqEovF8Pv9BQUfKQolk0l7ILO+ynoEFj6Uzph2A70YkoEsBahiiFp85Qy/bXO5bnecHz7aTcaA1bP8fPnYOtyOPMZUxuBnj3WO2NYnj4xwxuKRjcE/Pt9vxyIF3AqfXl3DmjlWwfTFbp1v399pF1v9boXZlXnO7XUpBDwuTl0Y4tSFIbKGycW3t49Q5Ty8K38d6FmTf700xKq5FfQOx5CrqTms2cc6EAiQcEwKRgIu21o8m2tayoCiFKRM4F0rKuzh3WueH+AzDltDQcjnYlmDjxc7k6SycOe2GG9d0cAHDotw9TP99CeyfOaYeja0J3lo+xAG0DKU4X3/buPio2s4otlP0K2yZk6Ae7fHuHtbnMPmVBe8h6ZpJYt+wntM08Tj8djfN2dhXl4nvE44qjz7Ob+j0kwQG1hxtXK5XPZ3SP7/93cttgdJJb5qosOEk8mpzmazpLOgZyEDpLNZMrm/pw2DrGFa/2aY6FnTKqirGsm0jm5YzmS6YWKYkMlaWaS6YWIY1u9kMa2fY5LNvT5rgolCJmuQNcGwf5a/Ng6b4ePsA6ttjlzqXidFfsMw7OzzRCJBXW6AJ5Y2SOjGqA5p40GO+/7CVLkQqapKKBQiFArR3t6+V9stx/SUUcb/fYwW9VEKfr/f5lYCl6rwyVXVhAM+Fle7bJ6XTqd5aEeUv79oKdE/taqGpfW+EbWZeNrgsvu76IhmaAy5+NZJDQQ9akHt1OVy2XFupSIUBclkEo9LxZfL+b53m9VAdCnwcmeCFzvGf2Z3q6Ab4HFrnLm4osC9R/DoziiP7oyyvNHHeQeEWTVbBdPg4AY/N70yYLv0bO5Jsnp2yI70kwgfwU0b89vuT8qoGFT7VYZSBhkDvnBMLfVhd/FHGBfFddHOaH5gwIn6gMpZi8P8Yf0grUM6vzm3CQVrAOCPzw9gYqnGD6jzsrPfyjEXbO/P/zmum7z3hlbbVrz4fc45IMRNm6zzsWqmn6dy9vZL6rzUh9woGPxkXQ97hjPUh1xcesosvnbHrhH7NafGqh3J9SF149Gatr5cYzxW1Bh3OlmJtb2zIV5crxY1NsBbl1by8yfyDdVo2uDa9QM83hLnf8+ZxfHzglz/8hB3berjiMb6gveVAUh57nIOwznrm06Vr4HCn5/v46/rezFMqA24+MqJTSyJKPZr5ZlQHDdlYETqy/Jv4jALFNRbS/HK4lrl66ExXmobwqPF7am2IsAZiyu57dVBnt2TpG0oTXNF/lw7z4PUsacy+nJ/OjwWR/PuCzweD6FQCFVV96rJLQK418oA6FgoN8bLKGOK0dTUhMvloru7e8xGkTTyZJpQGkui4hECKouX3+8nnU7b2TWQt8g2TZPbN0f57TN99jSgV1P4yppajpgZsF9bPHFZCtKIFjWuqGPEdkYKOYlEgpMXhlnd7OGWTUP88+Uhdg3oXP5AF8savPzPygiLa712M95JwDVNsxdepw2h5KlIFqS8p9hYyoRdIBCwJ+lKYbIZ55PFew+pon04w2O749Z0JSatQxnu3Rbl5AWhUX9PzmFxYW2qMovlHMvEocvlsolRLBYj4liT6gIafrdWMJzgtKSfLGRwQ3K5nde1LNA+n4+EbvKbx/dw//YYiYzJ8kYfV5412/535+BGsa3peJAimSjUipVALpcLr9dr264L+c1kMrZlqjS4wRpu6U8ZfPCG1oL80Uqvwj8vXGAfa/leSQTBRCDHfTrzxiU3c28LfBMpxjr3wTlYIceheB/l/jKV2J+Wl1ORk9PY2EgkErELBYODg6M2xgOBgN0IE4Wmy+UiFouVbdTLKOMNAJfLxYIFCwrUPaXWDbHqk3uDqLYlUmTPkFXcmBF22QVMeY1TSWCaJolkiuf2WMWjw0bJF4d8bl9xM7wYzhy5I2aFqPJpDCSzvNits7xWs7eRTqf5yonNLIh0cfUzfTy0I8qu/hRfO76OGY4iYam108kTpGgm25U1XopDyWQSd25dlEJeBnXMe+pYxSHJFz8mZ6P+4I4YP1nXg2Fa6u/PHVOLqygz+arHe+mMFq5d31lbz4oZhcc7lTG4+tl+7sypRWoDGt8/tYHGkHU8Hm5Jc+XD7WRNOKDWw6s9aeJpE9Nl8Ru3yoi85h39aXblCp3zqtysaPTxn03DdnEYrOLn9v4B/vzCQMHvXnLiLHsY0DTNAged2oBqD2Y4FTBgDWTEcgokj6raVu5Pt5bmTJqm8b1TGjj7L1aR9FdP9HD6giAXLK9lS1+GB7cP85fne/nt+fP5yJE1fO2uVrb36wymsjRX+e0C6JlLqrh3e4yHd0S5KG3gd+XdmsZrIotiSJrTMkgqkAKjfH+EA0mklDzPZbNZMpmMzYdFzSN8GfJDL/IziTny+/0THpxLpVITfp7QNA2/BvmrbWJqlkCgep9462i812lZL1za4/HY31lnFILi0M/L857L5SJgmgTcCnHdpCeeZVbl3nGk/TG46sRU2IjOnTvXdmoAiEajDA2NbO4oikIoFCq4ToPBILquFwzjl1FGGf93UVFRwdy5c9m9e7ctXij1vK9pGoqiEIvF8Hg8dlSeqqocNT8vVBFs689w5aNWnOQFyyKcdVDNCPFLOmtyxUNdOZt1lW+trbcbq4AdIynq11JwurdIA10t6soWW6QrWLbebzm4mh1dUe7blV//hce80J6gJ6rTHNZoGy59X97QkWRDR5IZ4QHetDTCkbOsup+eqxPtGjI4LneshCtlDIN/vzzEzZuGC1TrCrCswcsHDo3w4M4Y/9k4zOIaz5gDqZPB4y0lnhWAK89owudS+MfLQ+wZzvBUq5Xx/dBO6/WnL67go4dV4VLhU7e127970epabn51kJ39lurb51JIZKz1thRu2hTFBKr9Gi93pXhkl8VlDm/2EwwG+f2Te3iyNYFbU7h0bTNaJsHO/pHXYTSRpj7oKuAPTteAYvhzw7TFinERekG+TiV1bRkKlshOXddt7gZwxJwKcDTGVcXarzcttQYuT10c4fqXh3hmT4LhVNaOaxLI0Kiz4eqs6QO2M9We4Sw/eLiDV7uta3Ttwgo+fkQ1YZ9rxEClDKHK/gmnlDqqcEnDMOxapVyb40EERMXf4alEqbjYyaLUZ5Pj6ow2+uDKCu7ZOkQ6a/LjdX388tzZpNNp+7lFICK71ysmen7HQigUoqmpya6VZ7NZent7Sw5cut1ufD4fhmHY60EwGCSRSNhOwK8HlBvjZZQxxVAUhYaGBjweD3v27LELJVK0zGQy9mJb3CiVRklxFq8QU1lAnYtHMmPwyyf7eGBH/neq/RqXnVTP/Ih1M5NmSjKZHLdJJkUJyb4TRYTkQov1JeSKS5rC+UsrOXVhiOtfGebmTUO82Jnic3d2sGZOgA+vaqC6SCzuXLiFgIgiB7AHBCR7XBS+0uyUY+m0ApXJsP0BVVH43NE19MQzvNqTtjN7fv1UHyfMC+BxTLkKpAhXakEZK49wsshkMgSDQdvOXKwePR4PaTOv2qkNumzrfDm/Yu+9N41UadY5IeqxQCDAps44v7p7Jy93pXAegWjKsNXqTsW1nGNxD3C+j0wmO/M+5RhKsUcs0CW/x+v12q9z7p+8p3xHnfjxI908uKvwnHz4sCrevDRif4+Ls0udgyTjQayP5Hs21RBVtzyYTRaj7YP83JkvXzy8INdSqcKznCtd16fEmnx/Wl5OBcLhcMH0fDgcpqKiArfbTV9fH4qiUFVVRU1NzZgWd68Vm6QyyihjeuFyuZg3bx5tbW0MDg4WcB9ZP+Q+L6pRp0NKJpulP2mtlwurPfbQIWAroZ334c29aYbTBkGPypIStoaAvW6Ox1ukECS5eaaR5eQFQTqjGfxKBrfbZxeD5PVnHxBmbsTN9x/uZueAzsV3dPClY2s5rMlfkAvoPD4FvDg3nS4DaLJOiXW2z+dD03SbDwEYqPbrBdKsHwt7hnV2DljbOnKmn3u2Rfn5472YwNr5QS5aXVPQmI6lDa56vId1LQ6VPvDdU+pZ1lBYDN01kOYHj/Sw26HW+f4pVlPcNE3+tTHOtc9ZE/zHzw3wySNreNs/WzCBzsHc+S9S28fSBt9/pCe/36bJslxjXDcsC89vr61nW5/Oc+0JnmtPknJUmD91805mVbo5YlaI5XXuAoXQrEqPHbskA67SDG4IaWzvz+SOWYaKXNbnWNamfr+fMxaGuGOrlWP6m2cG+NjhVXx6dQ3bepO0DOpcfk8L3z6pnq8e38BHbmrFMCGZTqNpPtxuN4cEYG6km539ae54pYczF4dGNI9lCNOZAykNV3kWkWgi4ZLOYmM0Gi343NJEF9WOU4FcvA3nvkoRSaxXo9HohNzHBE4uPF1Dl/sy1DnaYLY8q8j2BU7+L8+H4vgAVr6p9X/TfiasC7rZNZCmJ55hVuXkFXfyvvsT+8rlPB7PiIHmSCRiX89DQ0N4PB6qq6sLhjKLIcexjDLK+L+PUCjEggUL2LlzJ0ABrxSxjtRZZKBLIA48TvTEM1x+fwfprMmqWUHeu6JyRLMra5hc+VgPGzpT+N0Kl51YT1Nu6FFVVXu9Ha+eJ7UdGbRXFIUjZwd4cGfh+uLVYHmjj0+vqqPaYeeuLavhlX9upT03nDir0kN3TCeZMWkbtniKkx8KFGDtgiBPtiRoH9b59RNd/OGZblutDrCpO2F//p6Uyq8eaOHZtsQIG/MZIRf/e/YMfC6VvniG2zdbPOJdK6r2upEk9+9oOsvn7uhgz3C+PiIOlybw5xcGuGh1DacuquQ/rwzwk3U9xHUTTYGPr6rjtAVWbeuRnVF25ZyFjpsT4OTFlVz9jNUcPrDOww9ObaQ7luFLd3eWbI7LLvclsvzw0bza9K4twzzXvoOXO63jdMHSCppDEMdDTDftwUnBjRuH+OwxPrtuKTXj0Zq1Y1mpFzvRCC+RITznc40IjNxuN7W+LA0hV4EKP5UxmVdpCdjm1/iYF3Gzo1/nsd0Jzj6wqsAZVERCouKGQhGJDEzesnGAXz/eSSprEvSofPLIao6bG8Tv99mNcBlKlvMtcajFYiv5mbgfyVC0NMknMgAogzCTcSSaDJxce2+2PxoflQFH5/n0eVy8fVklf14/wJaeFBu7UyyoVEpyUxk0lZpzschvstif3GoqGuPBYHCEe0JdXZ19f04mk4RCIWpqagiFQqPes5yCs9c6yo3xMsqYJkQiEdxuN7t37x71oTcajdoLu+RlFxdrxLpXCgfSyEskLFL2nYeswqFgfsTNN0+spzZnKScLxkQWv1KLizMrUizKRfXpJLxhr8b/rKzinCUVXPt8Hw9sj/HIrjjrdu/gjMVh3rGskiqfVvAeQg5kn8UqXdM0otGoPZ0q7yMFTSEWzgV0b3Kxnb87WXWA16XyjRPq+fydHTZJSmVNfv54L187ebY9ASfqJFHXjIapUBALoYtGo3YRGqxJuiQevnRHm03yq/zuAktsp2psb6YCixUP8oDl8Xj45I3b2NidP74KsLzRz6eObmRmWClosIr6Rqwm5WfOvFKnFZFYVMr+Z7NZ+ziK6kQGK6TACBScE6eKOZVKMZTx8N5/7rIzkwCqfSrXvnWW/Xdp2otjgxNiHTqRYpcQzunK3RaiLcdmohjrWpTj6LSxKr5mRK0+2rXkzOiUae+9GWzZ35aXU4Hie5WqqsyePRuwpvitps34hdmysqdckBKHAAEAAElEQVSMMt44UFWVmTNn4vF46O7uLvkaUUYLhCt2xTL22r+iOWzfN4VTiUJH7sHP5mzUD53hG6E2BqsoOpH7tai0nVxNURQ+dtQM+2dSeJIhOlkbDq738bMzZ/C9h7t5tSfNZfd38b5Dq3nbwZUj7vnOIoCsv/IgLhmCUhByNtbDHtVuzCZzC75z3XM21UeD2Kgvb/Dx6K44v3qqD4CzDqjgo4dXoToKAs/uSfC/T/SOKCB+e21hU9w0Te7cEuXqZ/tJZ0276Lpyho/5DZXEk2mueqyLe7dZduRvO7iCd6+w3surKaSyJv1x63g4behN0+Sqx3vpiGaoCWj0xrN0RLM0hvLrzQUHV7K41sfiWh+nLgzxgRt2k8rVV2oDGn2JLC2DOi2D/dxQdCyWNoZs/gbYg7TZbJYDa31s77cKvxu7Uxze5OO+HXFMIJnJ4HMVliQk3/2Tq2u4a5vVGL910yAXHV2PT1X52gkNXHxbGxs6kvzlhQHetzLC8fPDPLBtmH+8OMglkfw6e8biSn79ZDd3b4ty/oo6u7gqillRBzl5pXPQ0+lgJDwtGAzar5ECpXwn5DXycxn+TKVStn0nFPImOWYyZOhsdBZnm4+HeDw+bZxStr83zyujFcdExeQsThbH1ghXVFXVDlx3Mm8pWtb4VXYNwKA+Mj9zXz/ndGFfC5ilnn/D4TDhcNi+zweDwXH3S1RzZZRRxhsDXq+3wJGoFJz3e3E6KVUrvPbxDnrjGeqDGl87qQmPatrCC7D4x/97po/HctnjXz++joU1eaXreM5Dzs8swhm5v7vdbr64pp6dA20kMwYfWdXAkTPc9pDeiAZ9OsmXTmjis7e2ANAymObba+t5dk+C/2wsjB10wsSKrfzrOxfwwLZhbnipj10DhRzxpY4ED+1O8ZfnemiPFt7bPRqkc/TvvSurbH72r5ctFeuSWi+HzihtOSy232PVcgzD4LoNA/x1wyDFH7/ar9EVs373nq1R3rKslnmVFveL6yYhj8q3T53Joqqca2LW5LfP9FvvrcD/HBrhPy/1ksgNABxUZzVqH29JjOC0jQHocJxKvwsifpfdqO+KZemK5a+3v20Y5LoXB6n2WzxQyzXxBfdsGeJ/jqgn4jVsHjUWfGM0xp3HTzhaIBAoGKgVyHOJuPYtq/fSGc3YgqjhtMFlD3Txi/PmEtQ0TllUxW+f6uaBnTHevLzOFpU5I7DEntwpoIrH4wymTH7+RCdPtlg8+dDmAF9Y00CFK698lr6AqMbluU3UuqOt4cKnxM5a6t4TbUbL8PR0Dl3K8Z9Mc3w8u3NnljtYtekLDgpz4ytDRNMG33tgD797U/OoHKw4Zmwy4qdi7M/G+FTwuFK8sr7eiggQd9+xxDuC11Ot8vXzScso43UImcYcawGXf3NOagcCAQKBgF0kEBWsLISmabK+K8PFt3ewc0C3TeWObPbzg1Mb7aa4ZCVPBKMtdkJAvF4vXq/XbuKVyrAEqPWrfP3k2fz6TXM4rMlH1oRbXx3mwze1cf0rUfqG8soKUcuKBbgUNoSkGIZhq4gg/9BuF0cc2Nsbr5DMvVEIVPk0LjuxnqAn/97374jblqWpVMrOqp5I4aO4GDZZCMGSxUy21RnN8Jmbd7G9L41Xg0U1Ho6ZG7Kbss58HWee4mTgXPCFYMbjceLxuJ3753cpnHNAmH++fTY/PXcucyPuEe8l6hqxypcsdmlCi8W/kDTn+0q2aPFnEWUPYH8mZ9aJfKcMwyAQCHDJHTsKCPnnjm2wm+JibQ3Y16FzW6Iw0zRtwtfUdDd2paA4URSr9Iv/Tc6L2HyKXa0TMmE7EWQyGXuAYSIky4nJ7NdUYF/Plbh/jIZgMLjf1UpllFHG6wPiSNTc3DzqfUQKLpB/qG8bzBfuFtR47WFJKUKISkecW7b0WRzm8BI26sVDkaNB1sDi14pSVqzX5OHa6bwiqA24+P4pjZy2MIQJ/PG5Pq54IJ+lDfloHTk+4sYka5IUUEW5rGmafXzC3jx3yxjmXvFIaYwHPardFH/L0gifOabBborH0gY/f7yXS+/vKiggKsBlJ9ZziMM+PZpTdP/yqT7SWZNDZ/gIe6ztrJ0foqt/mK/e1cq924ZRFfjUqmree0jEfq9Qbp8GktYx8rryxaFbXx1mXYtVlL5kTS2aYg10Xv9y3nJ5jkNl+1hrml7HI8Tf3jGfG96ziEuOq+X0hZYlvqApqHJok9+OWpKBAuEKx87Jc9sNHUn+57CI/ffrXixt+Sz4+JH5bPCLb9lFMplkZljj06trAKuo/HRbkrceVGGfE2cm5tqFYdyawtbeFBtaB4jH47ZFusQNyHVS/GwjlorOnwnPdPJKKVo6XyNwNtpFFS5cUVEUm0PK0IZ8H6GwYTCZ5wNRFE0XJvt5nN/TYjh5ZSgUspsZxZBnxrFKfrVB6xy0DyTse9prmVNNRdFwLB4suePlhncZZZRRCuJIVFlZOeprnE094VYSQSfcbVWzVXvqimW5/J4Wdg9ZvyMil3++PMztm6MoWBnaKxrza6QM048HiWgpfhYXccfV58/j7+86gBMWVNqunKOtO8saA7xpaZ6H/L+n+3jfIRE+ekT+ZyH3yPtm61CGX65r56wllfz2zbO5Ym098yL52kU0bfCjhzvsprhHUzhpXoAfnFJvN8V9LqtmC5bS/s4tVjP+3SsqR71Xj1cj6YnpXPiPnfzF0RR3Ggb1J6w3P6LZhwlcfm8rVzmswY+fG2RJTX4tuWXTEP05HnnGohBBt8q/XspztZqgm43dSX7/XH/B5/jI4VUFa5KqQCIDw7kh1GPnhuxhzEqfykH1PkIeFcO0jgUUNsXBakJffPNOrn6yk/u3D/NqV4xYcvShVe8oGeNOOJ0OpdZYauBDhDYAyxosriZ136BbpSua4Uu37WIwkeb4eUEU4OXOJF0xS8Qj4h/ZhrgGOc/zk20pPn5zG0+2RHGr8OHDI1x2Qi11wcI6mtiaCy9MJBK43W5isZjdK5ABFskdl2au1GYhH2kqSu2JQvj8dCGZTE5q+2NxHxFHyb5L70JVVT56uPUd74hmeHR3YkLiOBkIkqiyyWJ/xj5OBa8c6zz4fL5J12tfDyg3xssoY5rh9XppbGws+XNnVqST5DmVB07Vi2maZLIGv3uyg6/f3UZMN1hS6+XrJ9ZzwbIIXzu+Dr87/7WWCbKJYLTGrahzU6kUsVjMtnAZC/F4nJkhuPykBr5zcj0Lqz0kdJM/PtfLR27aYxFARbWzifx+v12o1HWdx7b2sLlj0J6wk5w5mYwTZYc07J3HabIQmxSxPvR4PHg8HjvTXP4bbZGZVenma8fVoTne/ht3txa8ZjKKBWnaOvcnEAgUWFyVmgh0NrRFgRWPx+lMqnzxrg7ahtI0BDX+9+wmfvOW+Zw8PwhgW10K9qXRKGTBaYsP8KHDInzxmFr+9Y7ZfPSIaiqDXltN7Pf7bVLm8/nsgQgnZFgC8hk9AskhFIsg57GRQpxYvmiaZpMZua5kcZdMR9M0+e1b5qIADUEXd7xvPqcvtoqtmqbZpCgUCtlDI1KAdDoPiLvDRI+nEOXpwmSIpsQbBAIB/H6/PRAD1vUi2xK3Bzkmcs731h5drEr9fv+Ej9vrzfJSFGpllFFGGXuLSCRCOBwe8XMZBCsehtrca61LCjCvJl+MFAWAWJknEgn8fj+XnlDLr988l6PnjnyPifIZp9NLMeLxuOVkk0zaDbHRigZuTeHTq2v41KpqXCqsa4nz+Ts7aB3U7SKRQOKGkskkuq7bynhnc1OGsHw+HxWODMBowiq2imsRjH+/745l7GMrOeMXLK3kw4dHSKfTeL1e1nem+eRt7dy9LTqioXfZKU0FWZIbu5NcdNseW1H1gUMjvOWgCrrjBgG3yvyImy/e3WnZkLoULj2xntMXFZ6jcK5gN5QrQvo0a53eHVW4JlfA/MChEVbOjti57Q/uyBcDt/RZ+5POmvzuqQ77581hy5bQZaQ5aVE1n1pdw8kLK+x//8l582iq9Np8yHnsLMV4nhO+0p2iype/Ph/aMTJDWwYVFUXhvKU1yKl6pTtNNGk9rxw/N8g5B1j7/+PHuvGoJqtnBTGBGzYO25wwEvBw3DzrdXflstqdfEscEwTivCCNWGfWtTyHSCFVFDyAzUPF7ru4yOrxeGzOK4OpUsyUZxq5nuW9nFza6W40EUx3TvZkCn3C94VXFg9OyrmSgQGnul7uZfF4vOBZtVQbpTZgXSjduQEUOU9yb5wI9rfl5b5iurI/yyijjDcGVFUtOXApdR3n8KFAVKhyP68PujlrcRhNgWf3JPnIv3dw5WM9tPTFuf3VIf683uIfHzuimmPnBO3t+Hy+CTvGyZpZCslk0q5VTiReMZlM8q6DQ9TmLNZbhzLcuHGIt69s5N0rraG7mG4yr2rkkP9dW6K8829b+duGAYYyKvooa6FHUzhzUYgPrJrBM3vydZFjZgftmJt/vTSEbsDSei8rGks3KeUYZbNZ3G63Xf/0+Xz4fD6ueX6Q99+4h75c89ujKVx+Yp3dYHYpVo66363wwUMjqAq0D1tOUkvrLC70yK4YibS1vg6lsvx1wyAAbhUuXF7FfzYNMZw28OYKnm5V4QeP9hZYxM8Iu3nz0vwgI8DJC4JU+zWGc03q7qhORzRLlU/jqjNn8MNTG7j+wnlc+5ZmWy1faqVuH87wr5eHuPKxXi66rZ1zr93Gh//Txrcf7OKPz/dz//ao7fw0mmJc+L/EW8LoPEb4J1i1Ub/fz4oZAXu7K2f4+cDh1VT7NXYO6HzjrhYiATfLGqzjedemXnt9lzqzy+WyLb51XSeeNvj5k/18+4EOhlJZFkQ8/O85M3n7IfVoOftuqUFLY1c+r6qqBUPG8rwjinT5meyn8Eev11sQRVnMf8fDdNcqJ8MrpfEvdXLnc688g0iEljh8ejweTpwfoj43RPmrJ3tKbns0OIcPJnPcXm+xj29EXllujJdRxn5AOBwuWEikOSc3nUAggMvlsieapBEoanH53b5Yim892M11L1pk5ZwDwvzojGbWzKvkf1ZWUREO2e8xWpbbaJjIw7lYUk8GKxr9/OSMRr52UhMNIRd9iSy/eLKPj9/cxuMtcVupKwv3+29o5ev3dfGluzrsjCOxWnYqi/x+v51R7MxZmQycKnkp1Mpkn9jay39j7ffyRp+tXAHY2Z8qWeibKKRI7ZziE+tvn89nqyl8Pp9NkIUgQZ4MbOxOcfHNu+hLZJlT5ebHZzQxvy5sL86iknEOOuztRFsqlSqwtHFeT9UBF8fPyz8EiR2lNFxl6ljcA2RyWAiOM6MH8hnVUmCTwrcMgsg+JJPJgv0RMiMPeZKBLjaVzunLez+8hGve3Gxfg0K45JiXyicqtp2R7/FEldPTaTczmWasfB9FBSXnKhgMouu6PczitLB32qaLDf7eNoDFes3r9Y5LOvenCkaKtvuK6bI3LaOMMt44qKmpKfi7z+ez7f6kiCLr5LZctnPIq6InE7YlHFjraTAYtIcvs9ksqqJwQJ2fqoCnYF0r5Q4yGpz5j6PB5XJNmHOcvijM905ppNqv0TKo87k723miJWZ/fqeS3TAMgsGg3dSU/XS73QQCAaLRKKZpUuFozmbJF4BlSHK8NVnU4oJ3HxLhQ0fWkc1miaYNfvhgG1+/p52eWIaGoFbQGP/iMTWsmWcptLKGyT9fGuTLd3fSFcsyI+TiR6c18paDKnggxyVXNgX46r2dtAzq1AQ0fnBaI4eVUPSH7Ma4dVy9LoVoylJwZQw4do7VTNZ1naawtf8msCiXJb+512rQ3rMjSZ9jvu2rx+evN+F3G7sc0U+qYqumpRkprxV+KJC8+2BOjdWbKM0VnBnx3zqpwf75RXfkG/YfODTCQfU+YmmD7z3Sw9tWWEXZ+7cNM5BWbX585gHWsX5oV4yEbozgZtI89fv99tCkRNGI+0FxhIBwFeErwgOFewaDQbuJLk5Hzr8LB5brTZ5jJM+wlDLOaYc5HqSoOh0oZU87FiSXUHilDKE4B8SdRVx5xnPGLAgHs79HJR77xDGtN+7IVs0p8aWIOh4n35/Di1PRGC9zyjLKKGNfoaoq1dX5pqbUl+TZXupvsk4KP5L6WU3QzUXHNPDrc5s4YV4YE7hnyyAfuamN/33Caj6965AIF6xsKHh2n8z9Nh6Pj/vc74wFGg9+t8rFR9Xaf//bhgG2dw3x7hVVnLmkChNoGdSp9I7kgt3xLH96tocfPtRB61AhL17a4KO5wk06a/KfTcO857pt3LRp2P73E3I1sa5Yhru2Wj9/1/LS2eLO2msqlbLFQalUii0dQ5x37WZufHnAfv2aOUFueOds6kP5da4+p9CeU+nmp4/32jbxIY/KN0+opS6gMZQyeHSXxTf/vmGAVK7jff5BFSiKlfMNUJE7FndsGaInVrjfn11dZbszCc5YUs0lJ+QFYq/2pFCAS09uttfrTCZDfYWPWM4Nyrm01/jza+Siag9L671UeDVMoD2a4cnWBNe/PMRP1vWyvd+6Vu/fbu3H7oE0922PsrU3RTJj2CppqVvB2A3AWCxmN5gVRWFWTZAZYTeGCW87pJYzF1fw/TNn43crvNiZ4ocPdbB2gTUwet+24YLnMKfjaTab5YX2GJ+6rZ27twyhKlbO+o9Pb2Rm2BKXyGCmcD6pxUn0oNRG4/G4XbOTGrGT48ifRTleyslL6qoTgdhoTwcmG4uaSqVsJ1CnAEoiQp3uS4DtIgHw2aOse91QyuD6lwcn/VnlPEj/ZqznxbEGeqYDU/Feb0ReWW6Ml1HGfkCxclQml3w+n91skht7qVxeTdPY2pvis3d08HRrDK+m8Pmja/jYkTUoZtZuGkvjdKKWRMWfcSw4LVgmC5emccxML785p4lPrK6nwqvSMpjmOw9186W7O3mlK2kfH5nyG0oZ7BrK2HkvYkUoxST5vHLMJru/zsbeRCCKo2IoioLH4+HspbVcdnIztX7rtvqLJ3vJ7ENxRdRUzoEAeRARRYqokjOZjD3xJ6Tr5V6Dr9/byXDa4MA6Hz87Zy7N1aG880CuuC0LuhRn9qVIIwopGL3JK43sYstK5zl0ZjvKoIgoiaUgKMVIUYwDdkNA9sGpsndCiq3OLHB52JJtFf+eDBFIwVNyKUWNLq8phjQqxiN7onSfrknMfSE4zkllmVBOJBL28RJ1lECKsXszbej3++3jKWp/eR9RG02nPeh4n20qCqZvRLJZRhllTC2EGwhELSNN4lgsZvNKsZVuDOUaobmBRLDW2FgsZt+vheuI7bimabaDzkSLjYKx7pcSKzGZYbwD67xcdeYMDqrzEtdNvnnPHv62YYBMbp11rkMyoJVOp2kdztKX1uwhR1mfKv15Xq4beUcPUZuPBdM07UIhwAcPr+Hdh1Sj6zrPtCX45K17uGdbDAU4fWGQgWQWORrvXl7J8fNCGIZBbzzDN+7v4tr1AxgmnDA3yP+eM5OlM8Lg8tpK9KdbYwwkDeZWubnytEbmR0pzCrFSF8W4R4OfPdFLZyxLY8jFp1dV4/V6LZ6kWK/VFHj/YVZxeFN3kuFUhr88l1dRuFQ4sKm6gMe43W7ahvJrfCZlrdvpdJpgMFjgzlPMa/TcKT+43vq5YY6uphA+sLTBR3WuQNoVy7I917V3awrfWNtEpVdle1+a2zf2s7LJT9aEf2zotT/D4iqFprCLhG7yRLteYLEoBUjhHLFYzP5uyfdMhiRL8Q/ncKYzPzwWi9mvL3aCkv2V95Xviqqq9mDBaHFYYrc+3nNb8dDsVGIy9pulIBnookiUYrFE9BR/Zrm3AYy123XBnGI8lldVyTOHDJzLULU8V8lQumB/WV5O9v43GkoNUJRRRhllTBbONV6arzKYJHU4GW4qXrOlfjmryseXj6vjZ2c0sqDaYyuKXao1QBdLZdA0zVbhTkZwM16DaTLqc8EhM/ycssBaWzKGVb/TdZ2PH17FMXNCZExIZw3USfQC0xmT37xpFlec0sShMyzr8nTuQGgKdAxnSGYM/vnSIBkDljV4WV5CLS7DmqXu799/uIuP39pOLG1tN+hW+OVZM7j8tNmAZRMtEDfRnQM6r/akCXlUKr0q0bTBza9Gbeeh2zYPs2dY57bNlrNOwK3wloMquf7lIRK6yfyIm0yuq76tb+R5mxHJDanmcshDHpUDajy0Dha+tjboYl61ZwSfahnM5dE7fnb6orzoqyOqc/lJ9fzrwnn87YLZfPfkBj52RDVnLg5xcL3Xdu+M6dYW+pMGP13Xy8V3dPDW61r44I2tXP5AF797uof7tkXZ2q8TT49cg52RguJsJVieiwB4dvcQ2WyWBdVevnXKTFwqPLh9mM29KVyqNVCxpSev1paabSyR4s8bhrjk7k66YhkaQy5+fMZM3rcygtthP+p0zZHviIi2ZBA4GAwW9BdEROWsvzkjf2D0+uxE43E8npHn7bUCqQ1LbVv4s6i7nd+jZY1+FtRYvO9vGwYnVbN3ZtE7Yz9FQCW1Smf05v5C8QDv3uKNWKuc1JPSZZddZhdL5D+nRfRll13GkiVLCAaDRCIRTj75ZJ588skxt3nCCSeM2KaiKJx11lkTft8yyng9oKmpifnz5xcsJnIjdSotSxG+2zb288W7OuiMZpgRdvPj0xs56+D6gsKEFG1k8S4umo6HsYjmaPnjE4XX67UyhzWFMxf6+dMFc3nbwRV4NYWN3Sk+c8tuLru3Da/Pzw9PzatCvnhbC2Dl7kajFklzNs2cTTJZBMeDx+OxVRyThTTnRFEiBF0U5oc3urjs5GYAEhmTXz3ZN+n3KIbkH0rBzlkwc7vdpNNp+9xJ8/KOV7r52l0tpLImR84K8p2TG6j0WyoeUd/L9KJM20lRaF+mzJxW4qOh+N9ln8T6tPi8OAmcNEllgtlZgHS5XPYUpNMFACipmBEbHJm+hLzqPZPJ2AVNZ6NfCJWoqKVZLxiNRIjiZbSmt5wLyX0VFY08NO4rihvXk4X8rkykyn7KtV88aerxeAoKy6UgQwDFxd1SRWDn+xRnxO+vCUynqmlfsb9z0V/LKPPKMsrYO2iaxoIFC5g1a1bBQJu4oQi8Xi89MYtjzo/kVQRy33Wqx2X4TAbVZIhOCnN7M81fCtJ035vhqYhf47unNHLOAZYq428bBvnGXS30R5M2DxBVuKqqPNOe5qJb27jivlZQNXvNcbvdBLT8+pHUswXrbyaTGTUOxTBNfv5Er50X/p5Da3jbsggD8TQ/e7yHyx7oojeeZUbYxaUn1vPo7jg5ATcrZ3h5x/IqAB7bMcinb2tnQ0cSn0vhC8fW84Vja/Fp1pp376u9JHMFxnTW5NAmPz88tdHOUS4FUYxLtuJA0uCJlgQuFb6yppagx1Ij90cTvNRprWkNIReHzwxZ6vK0we+e7rZtLwFOmh+01z+ncncomS8oBgN+u+EuxXNZp4WryVUqR/2Djpzx2zaXdlly8qarzmyy//yVu7sAi9+EtSxfPLYWVYF7t0WZU2kdn9s3DdA5mLDv8acttAqst20csD5HzkZSBkqLm8hy7mOxmP0dEFV48XdBtiWqZKeaToaVJfNatuuMypIhy+JYmtEgiqJSPEuKgNKcFy4pn3uiLkZjYV8UQ05XAeF18pnkWIhSS+D1ekfcL4rZn6ZpNFVZ9zLJKnXGTDkhsWDy/s5M9v1lebm3A6TFcLlc5QzxHMqcsowy9h4VFRUsXLiQ2tq8ilq4oLM+I04uTgivk3XU6/XQPmzdS4NuhYwBf3quj/f9czu3bx4mpY/OsUbDWOIBicXbG3zosGoiPmu9Xd+e5NHdcYIBP587KsKyRj+JDPhH+ZgfOLSKj66qp8qXX6+39KZ4z7928WxbjA8eUcfRs/M1kqwJv3yqj/f9u9WOdnlXjhMKVFUlGAyWrDu81Jng/L/v5tHd+fNx5qIQ/3j7bOZE8rEu/en8mtCb46rJjMmcKje/OHcWFx07A4DrXx7isCYfLhVe7Unz88d7bEX5hcurSGQMbntVMtCrGEyN3kAMataaHss1m5c2+PF5PTyyI6+Wd6lWDNGXb99Nz0CUQCBAMBikN2EQ1wsHEFQF3nRQlc1rh9Mmd2+NkslkqPSpLG/0cfYBYT5xZA3fP7WRJTlb+LNyzXS3ag0dVPms3++MZXm6LcE/NvTx08d7ufi2PVzwjxY+cGMrl93fxe+f7eeebVG2D2TtfQCrdikDIQfXWVzlxU7r+UbXdVY2BfjyCRY/ve3VIWZWWufh7s0DBdvY2Z/iC3d18o8N/ZjAKQuC/PzMGSyu1kqqjtPptP2dkmcXpzOmNM+dtTT5N/m8xRE8Yw3jjdUcFw6ZTCZtfiYumlPlTLQvzdhAIGD3QqRWKJ9L6svFbgZfXlMPWM9XVz/TX3K7sn/O+9RofEuEavL+IuyZTkdQJ+T6mApMxXPC6w2Trs4uXbqUe++91/6786Ft8eLF/OIXv2D+/PkkEgl++tOfcuqpp7J161bq6upKbu+GG24oWFh7e3tZsWIFF1xwwYTft4wyXutwKkHnzZtHV1cX3d3d9r+JEqd40jGdNfl/T/dx11aLOB3Z7Odzx9RSXxWyi05iEQfYNphg3ZxlIl4s+cbCaIuR3+/fpyJB8eSSpmkohsF7D4lw5uIw/3olxh2vDuB3KaSSCRoiYZrDLtqGMwylDF7Y3c+K2fnimdvttnMxE4lEgfXgWI1xn89nF+xkYZxsU00ypkeDoijMrVQ5rMnHs3uS3LMtxjuXVVEXmnwjTBYk+X8wGLQ/bzwe56KbdpDOwm/fusBWQ7hcLv7zUi+/eLwHEzhpQQWfPrIKt5Zv+sr1IdeDc5ter3evG40ej8cuLhZbmAtkwEKuS7HsFpW3KMgymYyt5ha1mtNaUprZUlByFuyLG5hjEQQhTXLt+/1+FEWxj41sRwYQROHihDSFnXEApeBUFMnrZBLY+XmLHz5lUntfmrL7QshKWS5JRo/zniLHUj675CiNdu/weDwFmWVCXic6sOK0mZpuiJJpKiAuIWXkUeaVZZQxeTjV3IFAgJaWFrvZJM1twzBI6xkSuebqQXX5RpOsac7MPVEiCJdyOhjJ/VrW+lQqNeZ90bnWFWOyjj3FqAgF+OgRsKDazS+f7OWJljifG0jztePrmFfjt3lMJpNhXqWGR1PY3Jvmug39vH1p2P58YYc9ZkrP2jnrAk3TbC4iyBomv3yqj3u2WY3c+qCLtx8U4tn2FD9+yMp4VIBzl4R560EVfPK2dqJpUc8ofPW4evSsyR+f77etNedH3Hzp2DpmVhYWIu7Yki8mnrogxBdOnEk6OfYaGfZY9zFpjO8asM7fhw+vYUlD0B4e+NP6DuI5VY2Bgp5KsqjaQ3c8y33bCpvUnzi8ynpdjmsmk0laBtM4V9+snrab/wLTNAuUN343RHN9wHjaoKki31y+fcsw5x1UWfD7ch1KfE3EDwsibrb168QzJg9vH+bkJdY2jpxTyQcON/nd093c9uowc6vc7BzQuXVLnI8dVYHX6+Xsg+v48wsDbOpOsieusLDWb6uB5Psk17uzgFZ8LY/Fk+U7ZBgGbrfb5kFO23XZt1LPXZJvPpFCYyqVwuPx2M5Hkncu6iRBqQbG3jhAFL/33kI+sxOluKIou8UNwtm8LoYc5wqXdVXGdRPT5Z0U/43H4wSDwQLXqumCU3G0r6iuri43xh0oc8oyytg7iH16Y2MjwWCQ1tZW+/4rtYjR7l0SR5JKpWgdSPLVuzuJ6wYH13u57KR6nu/M8Ptnemgf1vn5ui6uf9HFew+p4pjZATsSUXKAR8No9zmpOeztuhT0qHz22Hq+eW87AL96qo+j5lXhdal8bU0Nl9zbzY7+FCEXRIuWqn+9NMRf3trMzGA137i/2/75QCLLja8McuMrgwUxOucfXM2jO4bodNiQ3/rqMKoCK5rD9houzUdnFvY37u9mQ2d+HyM+lZ+e0UhtMM8dpTm4tSu/jg0krXVxZaOPrx5fR8CjMLMqxL/rvLzSneLGjUMcMzvAQzvjvNSVtrd95uIw1zzbRyprsqTWS0NQs5vmgrBHZThtEPSoVFeGyWaz9kDnATVuegairO+w9mFG2MUlJzbztbtaeLUnzWUPdPGDM324FYMtuc8b8qi241Fd0IXfBactDPHvVyyHpv9sHOb8FfXoqdFrbvOrc06SJnzn5AZURWEwmaVlUKcjobCzL8n2viQtgzr9iSxdsSxdsQTP7BFOZLkN1YdczI14mRnWmFXpZn6Nn4NmhIBetvQmyWoe/G7L+vzE+WH64vX8+okudvZbx/CBbUN85Mg6DNPk5k3D/Gn9AHrWpNKn8elV1ayeleczo7mfivhH/l3q2RL14+RxMpxaPHAn7poyEDgWpDku33F5nizmi05OrOu6XZPb255BqRrrZFDqebT4fiGOlmIpv6DOzyGNPtZ3JLljS5T3HRIh4MlzRjkOzjiJyQx1y4D1/lLY7+uztRPFcW1vBEy6W+NyuUadgLzwwgsL/v6Tn/yEa665hg0bNrB27dqSv+PMMgG47rrrCAQCI8jmWO9bRhmvJyiKQkNDA4FAgJ6eHvsBXIqSgq5ohu8+3M3WvjQK8D+H13LhylrUnLIUsDPyZHGSDDuBZCrLv0njU1QNzs8k5Mv5+86mtpDlyd5wixf5bDZrNzpnB+CTR3o4f1k1ajY/eXfVeXN461+2AXDpA938+90Vdl6ILHzFtpliB+qEvE8ymbSb6fK7+9psLAUh5t9cO5Pz/7qVjAHffqiLn5/VNO7vSj6orusF5KDUMX+iLc3GHmtRvuAvm/nXuxeTTCa59tlu/rohlz+/pJIPH1aJmiMFMuU3VuZgcQ7kRCEZjM5rrbgQJ9uVhmpx81qcE/x+P2632y7qF+cYOs+b/FkUJlCoDpdG/WjFP/k3ufalCVA8NCFEdDSyN1H7IfnulWqIj4VikjpZ7IsiZbSH0FIFHyF/8jk9Hg9Zw0Qr8h8rVWTemwKtTNJON6aygOmMgSjDQplXllHGvsHtdttDl9FotGCN3NQ+YL9uxYy8gleKGDL86HQucjb3ipFOp+31XZrkpYotsm4WN8dljXBO0k/m/u/kRCcvCDGnys13H+6hbTjD5+/q5MvHz2BVM/bwXE1A46JjGvjuA+38dX0fhzR4WNZkZWzXhh2DAlmzYOBO1E8FXMWE/31qgHtzw6oAa+cH+dm6Hu7NZRo2hV1cfFQNc6s8fOTmNrvAB/C5o2vpS2T54aM9tg3lW5ZGeM/ycIGFIliWka/2WK952/JqPnhYNVk9Pe5QpyhrorkutQkcOzvAW1fU2RywO6ny75fyjkZdUZ2MAT84cxa/fLyL21/NW8TXBjTbkclpn/pka+E50xQTKNwHuSbknDeEXERzefebelIc2uTH54JkBjqihUUtsUGUa9DtdmMYBleeVs+brmsD4CeP93H6wQ324OG5i/1s2OPnqbYEAzk1+82v9HPhylrCXo1Kr8FRs4M8sjPGzS/38rEjrLXCeQ3KNSDXrfBSgcS9jHYOZFuyzzJYUYpbFz/3CURJPRF+I8VReV6bSFFSGhBOJ6TJYCLuUJNFKe4tOe1yPKCwge48BdJs97tVgh6VWNqgpWeY2VWTc7nYX2rxqcR0RTC9XlHmlGWUse8Ih8MsXLiQtrY2W20Jo98j5fk2mlG59IFu+hNZ5kXcfOOEeqorQhzlinPs3Hnc/uog1z7bzZ7hDN9/pIfFNR7evzJiW4k7RQql3svJ0wA7/1niFqVeOJl7eSAQ4NBGOH6u1RweThlc83QPnzuuiUDA5Dunurn4tha6ohm8GgVDgMNpgxc6khw2pxpV6bYbx29bWkF7NMO63XHbTh5gZ1+CMxeH+OPzA7bryaO74zy6O86C6n7OP7iao5o9uLW8+nPd7hg/fLSHTG65VoB3La+03YeckLV5c2/hGu1W4dKT6nCpKi6XC8Mw+PjqOi66pZWHdsb5+BFVPLQzz3ffc0gVfYmMLc561/JKfvJ4oROmAnzm6BqueLCbiE8lGrXyvGV/D2oM8rMn+jBM67WXn1RPUxh+dOZsPn/rbl7pTnHJHbu57KR6dufs1p01o6awxZvOOiDMjRuHMMxcLvumXs48sGbU4Vuf29qGYUJCNwl6FCp9Gs21lZYD6VwvUInL5aIvlmL3oE7LgM7uQZ22qMHOviR9iSxd0Qxd0QxPFW1fU6ym+w8ebGfVrADzqv00+OKctdBPx2CFHbPUl8hy/9ZB7tg8yIbccMARzX4uWl1DdSAfezpWjU8iV8RNSLgSjKyxjxWlWizOGQsidhlP9FNq+3vLoaajnleK34rgSJwoLzlhBu+4bgeGCT9Z18PXT7BU5MX1Z9i7gdC9iXvdG4wn3pss3oi8ctIdkC1bttDU1ITX62XVqlV897vfZf78+SNel06n+e1vf0tlZSUrVqyY8PavueYa3vGOd4xQVE30fZ0Qq1vB0NDQGK8uo4z9i3A4jM/nY/fu3QW5h4lEgufbE/zo0R6GUgYVXpUvHFPLYc0BkomErSQQ+z9ng9jlco3aBHM2yYECtYDkroHVBHI2KgW6rtsFookWMUdb6KWIKrad9UacQKDCXoB9QFNYY89wluG0wbMtAyxrCNjNfVFRy4Sp4hgWAEtdLc3w0ZDIHcvJFIXGW+zF3lszdd61vIo/rR9ge7/OY7tiHDOntEpUFCUyEVhsiefcB0VRMFSVKx5ot3/2oUMjxOJx/vjCMDe8ZDXF37mskguXV9rb+cxtbWzLFSOPnOHiPUfMYH6lVnKhFsvviS7+mqYVqMqg9NTeRBfsYqsu5++ImlwemoobjDL4IfmE4xUJZSCk2LVBlCdiUymZj2NhMkRwqgcyxsPeWtaOhVLN3eIG91Ayy1fu7uSk+UHOXBy2fz5VKu+pVHKPhalUpe8v6/fXE14vvLLMKct4LcM5dNnS0mLzKbH7UxWoyWU0izuRaZpcu76fl7vTzK7y0hx2Mac6S40nyzy3BzOnXh3tHuhskstAm6yF8l0RC8BkMlng6CLNOWBSvLJ4PVtU4+WnZzTy48f6WN8e57J723jnimouXFaBz2spRo9uzhc8r3ysh6vfWomZTRNy59exLKo93GWapp2nKe/pcnu5/J5dPLorjoKVc2yYcMeWKANJSyV+/rII71gaQgU+dNMeW6UDcMzsALG0wcW3t5PImFR4VS4+qoYTFteW5AT35xrthzYH+NjqhhEDgaNBVPAduYzloEflSyfNtJ8VTNPkV090kTHg8CYfL3enSOgmfWkVPRrnzs2F97WPrarnkV0JtvT20TKo0xXN0p/MMuxo+GsKo9p+Qr7pubjGx7Z+q8i6uddqjC+s9vJSV6qgcCyDos7rTs65y+XiuNl+Ht6dIGPCrx5r5f0rcw1uReFzR9dw8R0ddEQz+F0KiYzJP5/v5J25AvJZSyI8sjPGAzti/M/KKipDAXtYFhjx7CP2jMIrx1MTSzEpk8nY6mPZtrgjyXdlrGt+LMedYsjz2WQgiva94TfiBDDV/MvpJCRwNsXBOq5HNgdYUJ2x7VGLB4hrAxqxtEFPPMvsqsl9hv0xbKlp2l5b/pYxPl4vnBLKvLKM1zbcbjdz5syhs7OTnp4e+2el1iZx9bv+hT72DOk0ht1ccUoTdVWOqDWXypuWRlgzy8ONrwxx48YhNvem+eq9nRzW5ON9KyM4vzHFfMc5eC+RHCL8gHwUh8QGTmRddDoFfeyIap5pSxDTTW7ZOMApC8Mc1BCgocLLFSc38oU79jCUsuy+pQH+jmWVHNoUwEWW+REPW3NDjy63m8tPa+YLt+3iubb8Pjy7J8GzOWVyTUDjncsqebU7xUO74mzrS/PDhzuo8qmcsSjM2vl+vv9oP1t78/eIGWEXPz2jkZCn9FplmiY7BrL28KWCNSC5pM6LK+egInXHeZUapywMcffWKDe8kncoCntV1s4P8fMneskYcEijjxe6MyNyxT96eBXpnDo8ErBqs084hiZf6EiybrfFmZY3eFlQX4Gu6xzY6OfbJzfw9Xs7eKkrxbce7KbGb302j6YCFrdorrT4VH3QxepZAdbtto7jv14a5MyD8nb/I86pquBWQTcs96SgRy057JvJZKjwahxcr3Fwva/gehtOZa2G+aDVMN+da5z3JbI2X123K8q6XflB2ZqAxuxKN7MqPbTkGv0/fqSTrAleTeFDh0U4a0mlzXGFR43F6cWtAfLq8VQqZQ+iyJCzy+Ual59OxkFnbwQr+8PFcTSMprYvhjg3yetrQh5OmBfgkV1xFlTnBymnUn29P2qVUxn5+EbFpPxVV61axbXXXstdd93F1VdfTUdHB0cffTS9vb32a2699VZCoRA+n4+f/vSn3HPPPQU5JWPhqaee4qWXXuJDH/rQpN+3FL73ve9RWVlp/zdr1qzJ7G4ZZUw7ROUj08jpdJqbNg3xzfu6GEoZLKr28LMzZrB6bqWtWJAigdwAneRUbKknAlE0iG2m5CnLojtaTkVxnvBoEKX2aPstjdJEImEXNUzTtBvfPz57rv367zzUY+d7xGIxEomEnZsi/xdIgXW8BpSomUp9ttFyNSZCsKXJeuHKWmoCFmm96oneEcfS4/HYFtzSwE0mkyOa/GKLKtt+19932v/mcymsmhXgp+t6ueElKxvlY0dU864VVTzTFue8v+7i7L/sspviAE+1Z/jSHW3Eij0vHZCpv9HgLBxpmmbbOI53XPYVoriRcy6Wkx6PB5/PRyqVsq+5WCw27meSQrFcT0Iynar94mu4VJaO0359urAvpEoaEnuD0c5bqc/j/M71xDJcdNMONvWk+NPzA/zokW4MrAeTqTpW+yP/plzAnF68nnhlmVOW8XpAOBxmwYIFdvbbxi6roBbyqPb9PJVKWc1el4tXe9K83JnkjlcH+d0zvXzj7lY+cWs7Z/1hMx+4oYVL7+/i/z3dx62vDrO+PUFXLIMxSgFCFOjCK8UBRgbuRiu0TLQAI0Ohxajyafz47Dmct8QawPr7C31cel8HA/G0zVkvXtNEXdDFnuEMv368E1VVqQrk15BEOmNnYycSiQKlsm7Apfe08OiuOC4VTl0YsouiA8kszWEXPzytgfevqMDv9fLRmy1LdUHAraJgcuW6XhIZk4Prvfz8rBkcOTNQkqsapsl9ucb42vlBW+EwHo/y+XxEQhZ3EyvLY2YH8CqGve4+2Zrg6dYYLhU+ckQ1M8JWIeiPz3Ty1Xs6R9hkXvFAOz94pIsbXhnm6bYkuwZ1hlJGQb6zSx1bxa7rOm63mzVz842kTd3Wdfn+Q6rsnz28fdjmXmPt65eOq7e16f9+ebjg30Jeja8eV4dHU+wIgZs3DZPQLQeiQ5sDNAStxum6loTNYSUTUNRn8swh+dPAhCy2E4mEzQmlKa7ruq3s1nXdjjwQSFajE8UZ5lONfRmYFIvzqc5NnEhT2jRNPnlsE188to651dYxK1bj1+aevSRn/LWGN6ISZ3/h9cQpocwry3jtQ1EUGhsbmTVrlr0+loLUYy5cXsVbl1bwrZPqmFFVaEUM1hpZUxHkXSuquPq8Zs5aHEZT4Nk9ST5zWztXPtZDZ86vXGL+JDJIeKUM+Y3GCSUeZSKQQTWAsFfjM0fl7wU/fLiDWNyqES2sD3PpifX4XEoBT/rHi4P0p6y16eDGfH10Y2eM1p4hnnc0xX985izOOSBk/703nuUXT/axviPJ6QtDnLskTG1AYyBp8PcXB/nQTR12U1wFPnlEhKvPaybk0Uat0z2wPcrn72izOdqcKovnLqouXHdEaPWeFVX43QqdsTxn1RRoHdJ5YIfFeQ6bGeT6FwvV4gur3Zy9pNJ256kOWOvwEy35/f3XhvzvnLoobNd8M5kMi2s8XH5SA36XwoaOpO1C9NFVdayZbdXZZoTza/u5S/ICi5ZBnQc2945ajzZNiwsCRNOG7Xg0HpzXdtirsbTex+mLwnzk8GquOLmBa8+fyXUXzOTC5RUAVHpVDm0K2PXe3niW59uTdlMcLGX5klovvzx3JucfYjkcCQdMp9MTEiJJndgpUpM4K7Evd3JKObfF3Gi6G9d74zoqmKj75mQgwwdOFCu4k8kknz2mgX+9fTbvXF5VEAs6VdgfTkRTfW7fiEKeST3RnHHGGZx//vksW7aMk08+mdtuuw2AP/3pT/ZrTjzxRNavX8+6des4/fTTedvb3kZXV9eEtn/NNddw8MEHc+SRR076fUvhkksuYXBw0P6vpaVlMrtbRhn7Baqq0tTURHNzM6ZpMrPCIjCnLQzxg9MaqQ+5SKfTI5TDksPjzKubrF2Hs7EsxR9ZsPdVYTqaDadAPrdkpYhtZTZr5TzWB100hoTUmDyxaxhN0wqIsc/nw+Px2DmbooJyNpOdKG7mySLs/C+bzZLNZksWpcS6fiyk02m7aPSNE2dY76Ob/H79sK1GFqtxsQEH7H0oNe2laRqvdCV58193MJTOH9OTF4b50bp+HtgRQ1Pg88fU8OCOYc7+yy4uf7CnQIED4M/xlYRu8JV7OkbdB1FylbJcl4waOT5SbB3tXLvdblt5PVlI3p/YREIhaZXrVb4fUpCfTOPVmVmYSqVs0u78vskDlvN1TuyPIte+Ep50Ol1QWN/Xgmap+4Nsu2VQ54t3dbB70LKx9bgUHtoV55pneqaUuO0PZc9Un9tyQbQQrydeWeaUZbxe4PV6mT9/vtUkr3bTHHaxvCHPibLZrF2c+vDhEb54bC3vO7SW4+cGWFTtwe+2Cn8d0QxPt8a45dVhfvN0H1+/r4sP3NjGW69r4VO37uF7D3dz7fp+7tsWZWN3ioGEPmJwUSJaxitKjVdQEXea0WAaWT58eDVfOKYWr0vhufYkn76llfaE5fhS4XPxxeMsm9tbNw3wfKdekDGeMa1mqAxnCjeIpzNceu8e1u2K4tEULlhayf3b8wqRNx9Ywc/PmsGBdT7SGYMP3rCL7rjF61y5zbtVeHR3AlWx7Ci/c3IDtbkiYqkhs5e7UnRGM/jdCquaffYgaTEnCwQCeDwe3G43iqKQTCbpHCw8zg0VXl5oG+Y/rwxy5WPd/OCRfAbmR2/aw/Y+i888vDNOb6L0AJ6CNYhZF9RYUuvlpHlBnAkpmqqMe37T6TQrZuQ///ZcBuOS+vx1+a+Nw6iqOu5zjN/v5725hroJXP5AZ8G/z6/28PEj8/bHw2mDO7dErWcmXefMA61/u2PzMIZhFPAhGdJNJpO2knyiRVXnNoSfSGxAJpMZwR3dbrdtGT/VTebxsK/8KZ1O43K5Cp61piMmpvhacOZsKooyImMTsL9b3bHJD5TuD8XTVL9HmVfm8XrilFDmlWW8flBZWcn8+fNHXats10RV4f0rIzSF8w1nqRkU852IX+PjR1bz63ObOG5OABN4YEeMj97cxtXP9DGYzNoiBalVJhIJdF0f13VlIvfZUtbSR88OcGSzxVVaB3Vu2pR3cVjaGOSba5twJt+YwMdv2o3H42GZozG+rU/nsba03aA+oNbLgTUaScNaew+s83D2kkqCHpXueJabXx3m5k3DVHpV/K6Ra+miGg/VFQHcXp/9uZ2NxKxh8rtn+7hyXS9pRwFQltAFNfm6pqjqE4kEDZV+ljXkuZmClUn+q6f6MUxY0eDlby+MtFC/8rQGAPpzvLHKq9IdN9g5kK8PZXITBKoCR8+L2FFNggPrvFx6Uj0e1aqVAtR6TboS1p/rA/lrbWmdl/mRfA32Xy8NFjjyyOcShB2NcbkOx+KWIlYaDyGvxukLrSb9UMrgi8dUc907F/Cf9y7kf8+bw5sODBecvwuXV/KDUxtoDKp2jTEQCEzKFUjcUcG6rmW/nXEDhmHYQiEZRC5+rppuEc++Qury8rmnglNORESjYlAZDhIIBGxn0qniaWKFP52YahHPGzX2ce/HOrBs05YtW8aWLVsKfrZw4UIWLlzI6tWrWbRoEddccw2XXHLJmNuKx+Ncd911fOtb39qr9y0Fr9dbflgo43WDSCRCMBjE72/jKp/G/OrCxqyzaWqa5ogFNR6Pl1xk3W73CEvCsVDKym4ykInRWCyGy+XC4/GMaPbKZ5WChmSiSJ6gNCa/cUI9n7zVsg3/3oPt3PDugF2MkcasTMkVLzrF5EcU8JI77vwdmbpzojjrWzCWXT1YxEQIybKmECub/Dy/J8FNGwd4+/JqqryFDwbenNWn5CX7fD678CMkJxaL8Y37OikWeb/UkcgTUBOufKz0ZPq5i4N8/ChrSvGvLw7zt/W9bO/XufqZPj58eHXJ35HzIRBiIaRKHozGsqpyZjFOZgpQir9i0e7cvhBKWbCz2SzJZNJuvkvxeKJFzFLXZ/E+yT47X+fz+ezM+/1R0JyoJdhokLgEsY+XZsXeTjHK99T5mRRF4dWeFJc/YDlezKxw8a21DbRG4Zv3tHHTpmGWNYVY3TS9Sqh9gQx+TBeJDYVC47/oDYzXMq8sc8oyXk9QVZXGxkY+c3qAC5bvGXGvTyQSeDwe5lbB3CpPLjfYUvSapslA0qA7qdA6pLOzN86eIZ3WIZ2OaIZ01mTngF5QABNUeFWawm6aK1w0V7iZU+2jMZihMajidY2+Vo71EO71em1XHeFIxdwsnU7j8Xg4ZbGbBXUBLrunjY5ohk/dtJOLj6plzRw4qEbjvCVhbto0zI8eaufHZ822fz+pZ20Lddl272CUbz3YxYudKTwaHFTn5e8vDtq/8+XjG1m7IGwNdZomH/vndjqGrWPSFHKxJ6d6GkwZ1AU0LjlhBktqC+2rSxWq7ss13tfMDuJzWXxVLB6DwaB9DORz7+5PsLknxabuNPfviBZs68/PleaFmVEeCcR2E+DLx0Q4bE6E6oDbjq+Jx+MMJTPcvyOvnnZrij1YOtbzg5OXD6WsfUqlUnhUSBtWEVqu09GuB+F3Fxxcyd82DKAb8HRbkmQmg89RBDxlQYiN3SnuzuVj/vuVId62sgEVg7XzAvzpWXilO8XmjiEWN1bY+yeDx7qu2/skGeET5UvF9q/pdHrE84T82dkw8Hq9pNPpgqHn6cJk8ibH2gZgD2aUymScDErtc6lCdjKZtCOzSnG1Wod6a7KYau4nzXtp5MDE3McmCokYK6M0XsucEsq8sozXF3w+H7Nnz6a7u5vu7u4R/158Dy9ex2VIv7gmObPSy9dOauItHVH++PwA6zuS3LRpmLu3RTn/oAredGAFPgd/HC9SZiKQbUiEjtNt8tOra/jwTW0kMybXrh/guLkhZges/Vte5+Lio2u58rEee1vRtMkXb9tlD18CDKWy3LFpwP778XMD7B5Ic99Wi0N+9PBqls2s4gMrK3m6Lc7922M82ZpgW3/h+jC7wk3bsM6rvWm+fV8b1X6NsxaHOX1RCLAaiR39w/zwkR7W53KsV88K8kSLxdH25DjpopqRtRe3203XUIIX2vPHsqnCTduQzstd1rZ64lkSullgH39Yc4BgMIhpmgylrR9W+TXbVlxeG3QrxHSTxTVe3GZ+SEAUzQCHzfLymaOy/Ch3PP+yYYC2nOJ6Xm0Il0slk8mgKArnLqngZ49bnHZzb5oXO1Msb1RKcplArjkdTRtjPl9IfTMej4/plulEdcDFzEo3rYM6W4cUasImZkbnnlf7uHmT5WI0s9LDJSc2cWC9Ff8Yi8Xs+r1EN04GxVyoeH9L8SdnLvm+1hEngn3hfwJntKvEzE7kuz7a0ENxjXa0GKB4PG5fC1M5vDhe32Bvtwn5cy7RulOF4piYNwr2qTGeSqXYuHEja9asGfU1pYoXpfDPf/6TVCrFu9/97il53zLKeD3C4/Ewd+5cKisr6ejoKLgxiwLBqTAuXgSlcCN24NJUnCiBnEiRRFQppeD1eu1GJWB/llLbcCqIRLkkFuuy33OqPNQHXXTFMkTTBvdt6WfNnCAej6eAwEqOn0DypYshC4kci13DBj95eBc7B3TmR1wcNzfMSfODVPo0+95VfEwmMkElJDubzXLZ2mbe8petZE345t2t/OysJjsbyamkck4AOhv10gguboq7VAqK0sXLYdCtcPWbG2morLQb7aqqcuHBJs+2DvNqT5qbNg1zaJOfI2YGS9qcikJeCJUcNyEZcl05M0hlMKJ4KnQikHz7RCJh5zkWX2vFNkJO5boQD1G7j/f+o2WnTmTNks81EXXTVGC0wZfJQgYenNPGe/twWUz2nm6Ncum9nSQzJotqPFx2Yj2VPo1Z1V7eurSC618e4spHOvnJ6Y3Mqpx+G/S9gTTFnQ8TUwWxZy1jdJR5ZRllTC0qKioIBoO0t7czMDBQ8G/OgoHzoVpRFCJ+jYgfDp1VQzRqFe81TSMWT9AxnKYjZrC7P0XbsE7bUIY9Qzrd8SxDKYOhVIpNPSO/o3VBjeawm+aKfOO8OexiVk0IPV36O128Rok7TDE8Hg+ZTIZsNsuskMKv3zKfK+5r5bk9CX7wSDdbeit43yFVfHR1I+s7UuwaSPPbJ/LOOemsxSMkqy9lqnzjzt1s6rGa4j6XxvqOpN04bgxpnDgvaCvZP/ivbbQOWevzyhlenm/P789Rs/xctLqGsFezCxjO420NJViFwIRu8Ogua3/XLgiiZ03auodpjZps7k7SMtRL+1CavniGmG6M2uAuhgrIS+dXezlkRoD5ETf9CZ1rnrWieFxqvmFe6VVZM68Cv99TwKW8Xi/rd1v7JsdCU/K8Whqk8trReFjGyA+lzq5ys7VPRzfy16STa7vdbpv/OLf3tRPquex+S+n52ds7+fW5zQXv8fEjq9ner7O1N8VAMstNL3XzpqXWgOoRzX6ebE1w19Zhm49I89rv99uW5/JZxO1pvOLTWM5PY8G5prlcrv2i7Jkq7io8ye/328OXe5NPWWqfRytQOj97MTeuC+YU468BK3XnsLnL5cLlck2psicUCr0hlT0TRZlTllHG1EJVVRoaGqioqKC1tbXguzORmqMzuk6G/JLJJG63m4U1Xq44uYHn2xP88fkBtvWl+csLg9z2apR3Lq/k1IUhKkLBCdUtRltzVVUtyOMtpTyP+DU+eWQ1V66zMrZ/+lg33z3VZQ8inXaAh1hW5TdP5J0mnm2L8/C2fuqDGl05t5Ldg9baqACnLK7ml49bcTWrZ/pZWOPFNE08msKiaje/ear0PWj3kE7QozIj5KIjamVc//mFAa57cYAT5gU5tMnPtesHaR/W8bkULj6qhqf3WGuMzwXJjFUTnBEqbPuIwv9vGwYLaowy3AlWtnfbcAa3qqA7/ONnVXnsocHemLXO1oW93LN5AMg30BtDLrb16xzWVNgEllqffbzDPvs4PeXIKK9yZ8hkVJtXnjA/xB+e62cwZfGCf708yPJGX543Op5pQh7rzzr5NdfJG6QW66wnT4QTibBrWb2X1kGdZ1uGqNAyXPlYj32+z1oc4n8Ojdj7FYvFUBTFvtadzpwT4UqlXidCrLHWLuf3xOPxTHtjXFyWpiLrWpyUJIZoMiI/J4rPqaqqo/J42f7+yATfFzhFXdMRK1lujE8AX/jCFzjnnHOYPXs2XV1dXHHFFQwNDfG+972PWCzGd77zHc4991xmzJhBb28vv/rVr2htbeWCCy6wt/He976X5uZmvve97xVs+5prruFNb3oTNTU1k3rfMsr4vwZFUaiuriYUCtHe3k40GrVv6tLYlcawE6I8djbEBVIwUFW1wDbc67VIWTabpaOjY0L5eWJhJzbWqqri8/lK2gTK/jghzW9FUfB4PHYT2+fzlVSbXHrKTD75n50A/PzxXk47sM62WnGSWmeTVoi2rufVJ16vl43tfVz9zCAvd6VGFBO39GXY0tfPn9b3s2pmgFMXhjik0TdiQZ3IoizFvmAwSEg1ePuySv62YZAtfWmufLSbz5/QTDr32WOxWAHhcZKJQCDAE9t6+M7DJaZyR/kYZx1QwcePiNh/dzaoxX7+a2uq+cCNHWSAKx7s4g9vaaY+lytfvL+lipFOixU591KUFlWXQK7JsQo3ci3I70l+1FhkUezNneRFJjFHa3gXw/meTohyZyKFEsMw9ov1IuQHSPYVMpQBjPguCZzOCqMRaec5fWhHjJ+ss+z7V87w8dXj6vC78wXu96yo4tWeFC92pvj+I91ceXpjwfT3RCHvOV3DCHI9GYYxJZOvTgQCgf1ul/paR5lXllHG9EPTNGbOnElFRQWdnZ32vc05HFWKV8qwmqZp9u8owIywmwUNAVbmJuyFUypuL60Dabb3RNnaOcTG1l5aB9O0DmWIpQ26Y1m6Y1lb1SJwqdBc6WFGyGqcz474mFvjp94HphkbwR+KixbCGWQwT9d1NDPLd0+bye+e6uT6l4e44ZUhtvWl+cpx9XztpCY+8Z+dPNWWQFOsDMCEg1QNJnS+cV8nm3tSuNRc0zybZValh2q/wgsdKY6dY2V/p9NpLr6zk5ZBa20+Y1GIDCqQQgU+dmQ1ZyzKN69EMSVrbtYw6Y5n2dqZYGt/mqda4iQzJirwjfs6Se9jfeadyyp4y0GV/OzxXh7bHWd5o5/vrK2zFVKv9uSP7ZwqF9v6rP349GrLTSiRSBRwrVQqxfN7rGcFv1shrpu4HL7qzkinUrzPBQiLkcLsO5ZVcsVDllrohfYEB9dbA49iM178TCNN6qPmuAl7ehhOG7QMZeiIZmjMFX+9Xi9aJsNX1tTwyVvaSWVN/vhcP6ctCKKpCuccEKY57Oa0RZaLi8fjGfVzOwcxxir4iQV/KUym0b2/sv1KDf/uLZzXdDKZLMmhJ+Ic5RwSgYk9cxVz43zG+MS+PM7re6qbzM7tyTPSVOKNWsAcDWVOWUYZ+wd+v58FCxbQ3d1NX1+ffQ+V4Xtd10esLdJYNgxjRJ0nlUrZNcyj5kU48aAmHt0V55ePtNDSn+BXT/Vxy+YY71oW5pjZgXHv1VKbkvVE1nGJ+3GilKrzjINquXd7nBc6ErzQmWLd7hhrD7Dyx9PpNGcv9NM1WMENG/NW6796qp9VzT67MS5YOcNHf0LnoZyjz4XLq+zP8/+eGeCWTXknIq+mcMXJ9VSHA9yxsZcHd8ToiWfZ2mftR5VPRVUU+hJZ7tkW455tMfvnl59Uz4JqL3/bMABAyK2RzGRZUDPSGlnXdToSVqSMYHGNh829+fW3K5ZBAbspLu4+IVd+IG5Auup6mg3thcdVhkUPby4cZi3mOFu6rH1YWu9lY3eKrAkeTcGt5ms+pmniUuDMAyr5+wZrmPP59iRbe1Msyx3LAit1n1ipZ+2BRWczOZ1O29eGc/hxLAjPyWQyHNIU4I4tUR7aHuXWTYNkDIj4ND5zVI29v8UDnuIIJH+XDOyxGrFjNZonE4mzP3nlVMHJqYu5IWA7yI7VNC/mXGPV4eQYiVJ9bwY8BRMZpN1bOM/ldAw7vFF55aQa462trbzzne+kp6eHuro6Vq9ezRNPPMGcOXNIJpNs2rSJP/3pT/T09FBTU8MRRxzBI488wtKlS+1t7N69e8QFuXnzZh599FHuvvvuSb9vGWX8X4XH42HOnDn2dJnk6jjtxl25ZmYqlSq5EDkLloFAwM5kK0Zra+uEmuICKZSFQiFisdiYhSLnQuX1eu38bediM1YG9eIaD9V+jb5ElkTG5N8vdHLGIivbxdkETyQS9o18R/cwf3q2lyfbEhxY5+HlrtS4xcXagEa1X2Nzb5rHdsd5bHecuqDGGQdEOGG2l/pQoW2JZLrLPjqPv0yiZjIZdF3ngmUR/vPKEPGMyf07YiSNNpbUeEhnDVIZk4w5SDydIWMqJDMGiXQW3VRIpLNs70szXlnI74Jfn91Abcg3gkA5F09FUdgzlOK9N+ZVUroBX7iriz+8ZVZJuxpRuTp/7my0q6pq29Q7leQylCDHZizyVqwuKc5jURTFdiMQkqTrul3QkywY+V5MxA5pvInGyZDN/dUYl9iBfS2siTuDkKli+3mv11swpFAK4ljh9Xq5aeMgv1hnFbWPnxvg4qNqcWuF32dNVfjSsXV85vZ2dg3o/PrpAS5eHbG/9/J9cg7JOMmeNOplQnk6rAdLDYZMJco26iNR5pVllLH/UFFRQUVFBdls1uaUYs8tVuQul8tet0s1zHw+H8GglcU2a9asEdPq1RWwtLmSrVsTnD7LaiCYpslQymBPTl3eOqSzZyhD27DOniFLKbyrP82ufoAEkC80Bt0KTRVuZla4aQpbKvMF9SrVbgO/W7XXcr/fX7BuCD95/8oIC6o9XPV4Ly90JLn49j189bg63n9YLb972hrmAkhnTDRNI5pRuOSeNrb3pVCwhhBVxcoSf8eyCj59u5VnvWZeGK/Xyyf+s5PtuYLl6Ysr+dyaBjRNo8KrccL8MItrvbT3x+mMZdnWl2LngE77cCedUZ2hlEEyU3rNMWAEb3WrUOFzUe3XaAhpLKjxs7DGg4nKZfe2YZjwiSOr+fVTfbZl5YGNYZvXqgp8+LCqAr7tXPJ29edszLGsOAVOhYWiKGzutq6Lar9GXM9QPOMmzxqlGqQBNwzllva24QyzKj2597I4xB+f7eGqc/P3Yfmsfr+fdDptc4BMJoPP5+PK0xv4yM1W5NLnbm/nb2+bVfCZG0NuPn9MLd99uJu4bvBCR4JDmwIcMsPP0QtqCviP8L5sNmvzSuHxwjlHw3hDe8W8ayyMpWiZakwV53HyUrGCd/JVJ+ceregmzRRRnk+0kVzMGyVjvDduDSg7z7Fzf6VRL+5T03Hcp3sY8o1awBwNZU5ZRhn7D6Ier6+vt11WEokEsVjMtkIWpwwZJCyuvRSLdvx+v70Wv6MZ3nLkAv7+1G6uunczLQMpvv9IikU1Hv5nZYTljaOvybLWSuzGWE0uGdKTWpZEOn7+mBo+eGMrugE/W9fLUfMi9tA/wPsPraI/meUBR7TM8x0j67GnHlCNbqrMj3hoqvSybFaEzZ3DfO62VmJ6fk06fl6QS0+ZnVurDD66upGPHa2xvi3K3VsGeXjHMAPJ0jWngaTBdx7q5qzFIdqHc6IgtwqJLAfW53ObnfbL/++JPTZXXD0rwHtWVNoRlsVQgKUNHp5vT1ObU0L7/X47Y3xjT8reVsijEE2bpLImVT6VBUXxoMV1s9ZhaxsrGn0cWO/nXy8NkM6a/GRdD587uha3S7MHdc86wOSfL/bb3P3frwxxYGOowHEU8lbqg4n8/pqmaV9bItqRWqVTTDUanNfuyuYQ0EV/0vrsR88KcNHRdTRUBQvqa8IznMIdccR0u91j8g6ns0EpTLcCfG8wlapxZy22VPyPxERqmjYq15Lr3u12F2S1j4dSrpoiDJO4U6f7rbyXDNmK+6kI9aYS01mr9Pl8I7Lp3yiY1F5fd911o/6bz+fjhhtuGHcbDz744IifLV68eMwTPNb7llHG/3VIY1IaVNFolJ07dwIjF0Sfz2qMStFyovYa0uAW9fhEbrhSWB0vO0MW/mw2a5OS4vxu58Se2HXKZ0gkEly0uobLHrDsin73TD9vWV5vL5DZbNYi2obKVfe38dDWQdKOj++0syxGbUDlHcsjnDQ/hEe1iiSbu+LctrGPB3fG6I5lufa5Hv78nDXteerCEKtmBgj6RxIVIf3OjD2xydm2Z5C4o/i5bleMdbsmPogwGk6aH+KSE5tK2tuXync3TZOu6EjS1zGs872HOvj6Sc0j/q04axwsouL3+23bUlGTSdGwVGb7WJDrx1lEE1WVTBDDyPxnIUFOUiL27+MpYMYjv5NpPu9Pyx1R5u8rNE0r+N5KYTGZTBYQ0UQiUVKBLzmsf3lhgH+8ZDUxzjkgzIcPj6Dm7NHA+v4LCY34Nb60ppav3tPJfduGWdrg500H15BKpezr1ElCnee/+Hw6HzamCqXiKaYS5QLmSJR5ZRll7H9omkY4HCYctoYM9+zZYw9HOifyJQdQeKWzYDkWpNAp28xkMlT6NCp9GgfWFb42a5j0xLO0Dem0Det0xkx29ydpG9LpimWJ6SZbetNs6XUqBawmak1AY1all6awi9mROA0Bhaawi4ZQvlihaRqnHFDD4oYw37i7lT1DOl+8q4NPrqphab2Xl7tyPDRr0J80+cJtLbTmOrcmMLvSw5dOaOKghpy65xyVbUOwtNHPZ27ZbX+ulTN8HNzg4xePd9A2mKV9OMWdrw4Q100mWsJwZjgeMsPPvCoXC6o9HNgYJuIx8GiKPYwovCOWUfjkLa0YpjWYdsaiEH9aP0Asba3ZZibNb5+31EhnLQ4zt8pNOmsSG4qRzpg0VAWo8GoMpbIITZ0X8fJEa5KkniWdNTAUF/GUjqlopLIGbTmrzVTuF0QxLgpv53pdfL00VHgYyh2zjd0pZlVaBVOXAhkTtvQmbaWX5H+WsmSXgcymCg/NYY224SxDaYPn9sQ5tMlSkwl3OXp2gAsOrmLNbB9LGsM2d0yn04RCIZtzGIZRUkEtDe2xeGUxpyqFiTbGJ7KtqcJUqcZHOCHkBlnlHDi3X4ozOx2cSjUwZDhSni9Gy9sMBALMclvXflw36OofpirotYunUmguLng646teL5DnvDLyKHPKMsrY/xDnP4/HQ1VVFaZpsmnTJvu+6uSVExXtCDwulfcdPZdzlzfw09te4F8v9rGlN81X7+3ksCYf71sZYX5k9PugxBSO16gTN0tpCqmqysyaAB8+vJpfPdVHTDe46pE2PnNUbYE46ZK1AYZu38mzOfvydLbwPuFR4di5IXwuhZ+f3URW8/C1O3aybnf+84Q8Kr9401xmV1kCIrnXpFIpgsEgh84MsazBy0cOq+TRlhR/eKbHthMHKypHVaErluUPz+fV5wndes3cSiunOxAI2HWOF7vSPN1mrbUK8O7llfSWcFmRvfnEERHu35kTxqhZe4BtMNcYvnebpYavD2pc/db5XPtsD/9+qZ/DZ4bwuN0FNcmCBnYgwM4+S7Azp8pDy3B+QPOhnXG87gE+dWSV/btVXoU180I8uN16v8d2x9nZG2debWGNRazU4xmrti127E7FdvE1Iaru0SAinUwmQ6VX5aozZ/B4a5IZIY2zDqpBVVU7flKef5xNcicmek2Ohclkh+8vxThMnWq82LHK2ax28lZx+iw+Ds5jXOoYSR3R6UArkKa7U5Uu+yXvJf0MGQZVFGWEkGw6mszTeS7fyLXKN+Y4QBllvI4RCATsQpE0zP1+v22lvjeQPD3n3wE7B6UYSlHjazzItiUHWoiHKHxE6SvKd2fxAiwLnkqvwmDKmj68bn0Pa+f52dQS4/oXe3i5KzOhwmPApXDaIj/vPLSJ2qAbwzDsprKoomeG4PMnzuaT6QwPbR/kzs1DPL8nznPtSZ5rT1Lp0zhxXoBTF4SYXZUn4h6Px7bzcx7LdDrNX1+wSKrkMYJVbD2ozoPHpRDwugl4XChZHa9LwetSCHrdfP+hDtsyfX7Ezfb+wkX9uT0xe5GWIQFnTo4cYykQRqNRDoiofOnYWn74aE/Bth7eGeeOTX2csrCigLAahmErdSDfvI5Go/ZrpFg+2jTueORPbNGL83JE5ZFOp/F6vcRiMVwul60uNgzDLsSKTZIMd4yH8b4r6XR6wnmSU5kXOB6mKmu8GGKr6vf7R+xPcWam3+8nGovzq6f6uGurdR28Z0UVbzu4wr43yDakmCk4uN7H+1dW8fvnBvjVE13MrVBZXJtXfzvvN2K1tr/sx6fzfaTBVEYZZZTxWkMgEGBgYKCAU/p8vjHdfMaCcNTBQYv7lCosCDRVoSHkornKN+I16axJe05lLo3zPbk/D6YMeuNZeuNx1hcJXDQFGsNuZlV5mRFUaa5wMafaz2UnNfDbp3p4Zk+Sn67r4bTFlbzSZalcdAM+fuMO+nNqHAV4y0EVfPDIBhIZkxda+ulNKWzpjrNrQOerdyYK1N7Ptyd5vn18LuB3KVT4VGr8GjNCVtb6/LogfjXLA9uj3Lk1xvyIm/MOCGGoGllT5YW2YdJZk3TWIJ01MVUX8aROxlR4fHeUnngWv0shqsPX7u0k7bCF//G6HoZT1ue8Y8swt7w6PNpHs7G9P8UVD3aO+7rueJaGkMb7DqsbURASFA/VLYx47GGCbX3554AZFW5aBnVSGdN+TijlYgTW9eUsYF55WiPvuL4NgCse6uaGd86x31eejd53iPW7okgWjheNRm2eDPkCmyhLUqnUhL4DEx0ongj2d+TKdBTZNE0raDQ4z6Nw9uLYpbGgqqo9KOF07CqGvE/IoxJNG/QmDGorrQFueUaS+8zrHeV88TLKKOO1CEVRCAaDdl1BOKXf79/rRlEk5Oe9h9Vyynw//3hpkDs2D/PsniTP7Wnn+LlB3n1IJY2hwsEmEdtMpHEor8lms3g8Hrv28dZDGrhra5RtfWnu2RbjzQfXMDtsNcWCwSDpZJxLjqvjq/d0FtiQCw5pCkAmhal5eakzyTfu21XQPH/z0ggfO7IGXdcLHBbdbrfNc2QfhrMu/vViB4MpA7emcOzcMNt7k+waSCNUy1lr7MupueNpAyPXvPN4PKCo/Orx7fZnOH5ukAMaw3z8hh0lj83iGg/nLK3mps0tAFR4rRjM4VTWrlOKo/pnjq5Dy6Z5bo+1Fq9syEctykCBs16YNQxaBq3jtrghxOxIhkqPwpCu8Jfne7l7yxCYBp9aVY2aW+8uWF7Lg9ujKFjDpDe8MsSXT6q0M8a9Xi8VPusoDMTSpFIpm2OMdv15vd5xI280TbOHAE3TZEG1hwXVHluNLC5DztfIe6ZSKduRUV47FZhoY3wycT77iqlUjTsV9eJCEQgERhw/p+uD/N54VugyaCm58aVeX8q5SKI7JUZWRIyl6sHTwdGmk7++kd0ty43xMsp4nUFRFA488MApLZwUL6jOhcFZMALsyf+9yd1wNtQhryaXRUeanrFYjGQyicvlsgnqRw6v4UePWc3cq5/u4eqnx38/lwqrZgZ560FhvnR3B5U+jd6kxu0b+zigPsjMoMnM2gp70kuastlslkw6yTEzvRwzs46OYZ17tkW5Z1uMvkSW/2wc5j8bh1lS6+XUhSHWzAngLVHwBWvx+sxxTWy6YQcDyfxC1jqU5kdnNlMTtDJTrKZwlb2Nb9ybb4o3hlwjmuIAA0mTbz3QyTdPbLCn6AB7IlSybKSpLCRl7aIq+pMGVz/TV7C9qx7vZeXMSpyOR0LkhBQ4yYFcGzLYMFqzdqKNY8MwbCcAZ0PUWXAVyyNnjqXzc0nRa7xpxYlMWUpe6WgDIvKa6YRzmtHn86Fp2qRiD5wQ4pbNZkuek9Fy3WVAQY5BLJHie49080RLAlWxrFtPz8UbQOExcap45By++cAKNnaneLwlwfce6eaqM2cQCXgKSKxMkBuGYeffwvQS+2LF01QiGAyWC5hllFHGaxIVFRVUVlZO6T3KyQechQUZfATs5qM0w4s5hEdTmFPlYU7VSDVQNJWlbThLV8JkV1+StqE0e6JZWgfSpLKm1UgfGrm++zSI+FT6kwZ3bR7ErVpNccBuins1hQqvyl1bo9y4cchWcU8ECqCplorapSpoCig5JXjGMNGzJp3RLJ3RLK90y3o2WLCN7f06lz/YPfE3BRIZk2fbRq5d0hQHyBTV4RSsY2yYpn0MFGBBtQePpuDRFHweF16XilsFl2IykMjwRKu1Tl+4vILZkQCrmtz2cB0U5owXc42jZvu5IzdQt60vbf/OOYtD/OppKzeyPWYy3z/6QXfGvQCEfC4OneHjufYk6Sz8+6UBLjyswY4EkGcLJ3cU1Q9gF++d/MfZeBc+OlYhM5vNjjsoKS5SxfFLpV43nZDP4Bye3dv3dBbvixXYop4qxdvkmUWKkuPxWuHqTuvMsTIgawMa0bRBd0xndiJhD+uIHT/kB0KnU32TSCQmXLieLN7Iyp4yyijjtY2ZM2dOeY1E13Uifo2PHVHNeUvC/OWFAR7aGefBnTEe3R3j3IMivOuQGiKBvNhmshDrd0E2m+XStTN4//W7MEy47N42/nbhYrIZPS/YUA0uO6mBz9/eRnuskCfMrnTj8/n4/G27ecGRwV0TcPGzMxuJ+LQCR8Rs1ooA0XXdroO4XC6ebI3z48d6SOgmdQGNb506i1khi89s79e5f3uUB3fECpTkgv99so/rXxninAPCnLqwgkd2RdmRqytqCrxrRSUPbx9ka+5nTvcigE+stoYfB3K25JW5/G6xURdEfCrL6z30xDLs6EuhKrCyKV/3lXVQBhYMw2Bn9zDJjIlbVWgIaqghjdmVVqTTnIiP79zfxt1bo7hU+PgR1SiKwpI6X0Ee+n3bo3xwlY6Z42ipVAp/7hTGM6Zd2xnLGdDpVjoWhIN4vV67+S3/OflfsaoZCiP7JvLdKOVuU4xEIkEgECCdTo+6b8WRRlMNOZ/SJPZ4PPvEeZxxTM7tyOBBqf2Uuq4Ixcbjlc7Mctmm0xFgNDh5p/DfeDxOPB633dKc52s6an/TWXueajfO1xPKjfEyynidQaxgphJikVmqwLA3DfBSUFXVzrAsVjULZPJKCIYUoQzD4MQFYX75VA/xSayzpglPtcZ4qjWGbkB7NEN7dJiHdwBYTeGIX2NRrY95VS7mVblZWONlrs8sUAs3ht2855AIFy6vYkN3hts29fNUa4JNPSk29aS4+pk+jpsb5NSFIRbXjFRYhVWdb57UwJfvakfPTYkaJvz0kQ6+fkK9vZCKAvqejd12RpGmQHescIEOuBXiuUyip9qS3L1lmHOX1dkLsVPhrWma/XMhWIZhcN6SML3xDDe8ks/yNEy46OZd/PEtTbgci+5o15s0rOXaKUXeJqK6BgqGIOSakwm+YoIix8n5XoZh2CRnItaQohwZiyyKTY58FskHkqJqOp2e9glMaVYLQdwb20SZ0E0mk6OSa7E8H+2hQM5JRnHx9bv38FJXCrcKXzy2jqNnF5KoUoRSmttSQP3cMfVcfPse2oZ0fvZEP989fRYU5fAU33vkHCSTyWnNdVcUZcpt1Z0FTLl2NE0r22CWUUYZ/3VMx0N2dXU1/f39I9YUieHZV4S8GisjYWudnuW1eYhhmvTFs7Q5lOYdMYPdAyk6oxmSWUhm8+uHXmIpSWVNuktYSk4EJlYDOmOYMAEvI1WxmtOqAnHdRAFmVrrwaSo+j4aGiVtT8GoK7lyz2qMpRHWTB7dHMYET5odZ3uhDNS0V0fUvD9pFz0tPbqbebzW1K0IBsukk4YAPl2JiZKzC62X3d/JMzgb0U0dGOG1xBUBBMRGsc/e73EClV1O4cHnEHriTcyo8ojhnXPjY8vr8mtfqGFw484AKuzH+/57s4gdnzbWbiiOOWYnr9VtrGzj7L7sA+OP6Qd6xsq7g9bIf0hwvRrFlozPyyZkFORYvkH2VodRScPIaj8djq6olZkqelaYTMuwpHH5vCmEywJpKpUYtgI4XtSXXzHh2oaW2k81m7ecOeZYUJwGAhrCHnQM6PbnvsSjunM8jTgVbKSvNqYBkmk4mqmyicPJKGbB2u90Tirsoo4wyyphOTAevrK2tpbPTcrOZEXbzxWPrePOBKf60foDn25Pc8FI/d7w6wPkHVfCmAyvwuSb/GaQpLs3PVCpFtddyxvvT+gHLrvypPbz/8AYgX/Oo8Kr88KzZfPj6nSQdg4ZL6n2cds2rdia2grWt96+aYdfQUqlUQV1D6qCZTAa3x8Pvn2znrxusAcqD67185bg6Gio9do3PUi5X8z+HRvjgja30JkYS2/bhDL99pp9r1w9gOLrepy0KUR908fV78y5BLlUpULXfvHGAuZXWsBlAfWUA0G37eMGxcywRwLN7LJ6zqMZDhTe/Hsk14azT7Rq01vZZlW6yGZ0sFjdyuVysmhHn88fW8+NHurh9cxSv283HV9WSTqc5d0kFP36sB5dqce7rnuuyplBzECv1WNooiHhxNkSdmIwKVwYWJO5PalPjwVkrnUjTG8ZvjkujHqzj6+QAznrTdEK4pHBZEbtNFtLgH+1YyjDnaL0JZ912vPPpcrlGXAfiLCCDKbqu2zxdOLOzJl7shiQ1YnFbm6jj1GThjP6ZyqFLZ1ya8HvIZ6v/X0e5MV5GGWWgKAozZ85k69at0zY5L5ZEiqKMWfTRdb2AAEiGj8fj4f2HRPjN0/1MtCWWNSE7zu70J7I81RLjqZb8zwJuhYW1fuZWaiyIeJhf7WFWpRu3prKywc3Khnr6E1nu2x7lrq1R2ocz3LXV+vOcKjenLgxx4rygTQb9fj+Lq+Ezq2v48WN5C/MnWhN0DKeZUxu2ictANMr3H+lxfBaV4XThHgc9Gl8/LsJX77MURT9/so9DZvipD1m3dCni6bo+ggw5s/4+cGiEvliGB3flF/WBZJZvPdjLD8+cZQ8plMoAl21BYeO8mLxJvvx4kM8pKhCZlB2L/Dgh2UlybTlzaEbDaAXSUig1oTjdE5hOyOccjxQWQx64xiNOxXbppdCfyHLZgx1s600RcCt844R6ljX4Cl4zVlFXBgkCgQDBbJYvr6nlC3d28FRLjD8+3cGFyyP2A4ucP2fxVrYrgyTTca+SgvFUZbkLgsEg8Xicvr4+hoaG7BiHOXPmvKFti8ooo4z/m/D5fDQ0NNDR0TEt25fhpWLOqCoKtUEXtUEXKxrzr/d4PMQSVnO8O6WwszfB1j6ddbuG7WZ2MVQFgm6VKr9G0K1Q4XMR8qj4XCqaYuLRFII+D4qRsf+sKSZ+jwuPpuBSsf/NoymE/F7MrF7Q5A4FLPu9qx7v4Z5tMU5eEOQzR9Xan7nUejqYzHLR7R2YwInzg3x9bbM9TJpOp3l8d9xujC+oVGio8Nnb0lUNDB0T7OLPCx35IlRxUxzy9uLZbJbNvRbnqQ3miyel/l9sk+3MthTEdbOAV4pK6ZWulL2dyRT03nxgmBs3Wufzew/s4SsnzLBdhpxxMaNxHWeEE2AXPaVAJsNsYz3DpFKpCTvPlNqOk8dOF3w+X4FS2jngOhFMNBtzooXm8Xj0WHxMVDrCYeV1tUHreagvae2jFGqdkTayvxLXNNEopski7wo2dc8M0jgYGBigv7/fVkZ5vV7mzZs3LbmWZZRRRhn/TdTW1jI0NFSwVi2s8fLttQ08357gj88PsK0vzV9eGOTWV4e5cHkVpy4M4VIn1tSRZq3UHZ336/OXVnD31ijt0Qx/3zDI2UsihB1ze1bUZYLZEUvJvLLJx2ePaeCV7rRdi2wOu/jt+fPRyDe2hJc4B6dE/RvXDX72eK+dR/6mpRE+sLISFbPAdl2Q0A27Ke7VFFJZk9qAZg+IAQURQApWo/2OzUN0xqzXVPtV+ooa6w/viPHWgyrs33EZaQYyGn97ccD+mQkcOzeMz+fj+c5eAFbNDhdsR2IzIV+n2z1gNfxnVebXLKf6+fg5fvRMDVc93suNL/djGhk+cVQjaxdX84fnB+iNW6+7Y8sw86otNypFUQl5rHM+lMoWDEUKHy3mWRNpMMpnEr4ga/poQyAiaHG6Dzm5jKjKpd46GuLx+ISaoKO5EU03p5TBROc+iMhkIpzK7XaPGsfkxETjKyfCtUYT2BiGQSwWs8U8zu2Iq61wYOdwJljXh/PeNF21SnFkmmqRkDwT9vf309/fb19vNTU1NDY2/p9vjpdZcxlllAFYi8hUFjFlMfR6vbYdMmA3hGShECu9VCplkwcnAZDiZzqd5q0rG+lPmfx9w4D9PjMrXOgGpHQD3TDJmmCYJoYBBpZqfLQlqdqvcvmps3hlzzDb+tPsGNDZ2ZcirptsaI+zwZFb6VZhXrWXuVVuu1l+9gFhzj+ogpe7Uty1Ncpju63syauf6ecPz/Vz1KwA5y6t5cAaaxE/46Ba2mMGf12ftzD/zsO9/OpcKyNe13U+eOMe+/Me0ezjmbYkdQHodnCFkFvhqIV1nNeuc9Mr1rH40H/auPndc4B8YbKUAriYvH1hTR39yXZe6MyTpuf2xPnrs52cv7TSJgZCtlRVxev1Fiz8pmkW5H6P9X6l4FSFF2eQjlaAkyk+J9kr3teJTGPuy6Td/lBllLJhHE2dX4yJvEbiDcZ7Xfuwzjfv76Z9WKfKp/KtkxqYXz1S7Vx8bZSCFDIPmlHBJ45M87PHe/nr+gEOrPNx1LwIhmHYdu+lSJ/cT6Yjs3u6lOitra0jSLppmuzevZu5c+e+oa2LyiijjP+bqKmpYWhoaMriKaSJKk3OUgUXaRjpum4rQm01qaYws9LN4kCAQxsslUeGJjoHEzy4M8a1z1nFvMOaAzy/J45hwnDaYE7Ew/sPr+eAqvzwXjabLVCgihuSrusFzd5AoMLh5uMjkRjJyZIZg0dzA4prF+QHpUoVs1RN42dP9NAbzzCzwsXn1jQVxJB4vV7CvvzjfchnVW6lmFPMebqHEwU26n6/H1VVR1gQSsO3bcjar3k5e/uxBhidcCpaBIaZH3Dw+/3UBjS6YlnimXzx8v+z995hktzltf+p0F2dw/TkvFE5oJxMkEASQQiRJGy4YBsbjO1rg+Ha4IAcML9rjME2FwxYBBswyeRgkECAhEBCYRVXYVfSppndyalzqN8fvW9NdU11nLDbM+fzPPtI09NdXaF7vqfecF5gpR17tUDbb5/fgW89voiiCfzk2RT++HhQ0l7YmEqlVhR5Cm560D6ftFgsNpTgXE0gbCOKLd3On9vcbyeNBi9l3mYjwdhGdGq982kfuSOFEN3B8ud+OlVEKBTC0tJS1RmSwPJ5X4/An1sR8Vps84knnlhxLbPZLA4cOIBt27Zt+Kx6QghZT2o18jynz49zen2480AK/7lnDuNLBXz0nhl8fe8C/te5MVwxHHD9Gyx/J+3xCynKFyTGdfOV3Xjrt8ZQMoG/um0MH3/VjopRfxNLeTx13N77jy/rQV/EwGA8gB/vm8OvbYvgqm0BlApZFFDWFhLfkSSrrJuFQgHji3m872fTeHY2C4+q4K0XxnHNrjA0TbXcFZ1//x+fWl5zZffffH4cOzu8uP2ZJG7dv4SJ5PJrTAD/cOe09bNfV6ykeIdfwymdXvziUBoFE/jh/rImDBsqdI8XN//PQaSPu1eaKHdon9FtIFco4v4j5edeOhJBILDcQOFc61OpFA4vlvdnOLocU3JqkRfuCKFYMvGvd8/gG3sXoasKfvfiHly7M4jPPzQPr6YgXSi7RQGAx6MjfrxZKJkrWZ28hmFY19uuARtJ4GqaZnUZiwtRIzg7k506M2PTqbViUHYt2gwb0cTj5uQpcdp689RlNnc9nddo8WajRYH1zolcMzeNapqmtT/VxlACy4UP64HkU9aShYUFTE1NrXh8enoamqahu7t7Td/vZIOJcUKIxVoFMSVo6ay0EuyBMPt72Wf8ytyOUqkEn8+HZDKJVCqF3zg7ijdf3ItisVwBmMlkVljH5PN5lEolq0LQ3vEsgR2ZJe7xeLAtvFzRWDSBiYyKp6YyePzYEp6eyeHp2RxSeRNPTmXx5NTy8agK0B/WsaPDi+1xL67cNYBnppbw02dT2D+Twx0HUrjjwEH0BDVcvTuCF20v4Q3P6cDBuRzueLY8Y/GZ2RweHl/C+SNefPiOo9a8np6gjve+oAf3Hknjn+6aAmx98t3hsiD+3fNjuP9IEofm8ygBeP1XD+Jzrx62bH3Eplns0wuFguu1fd+L+vCH3xnDM3PLguvTD8zh7F4fdiVQ0alrF1j2rl77du0iQpLp1USRPNcwDOi6vuLzUktMOYM+bs+VYFm1AJ1pmlWDpPVodHb6anGzkZTviNfrRalUspLJhULBEqL1vsfyvaknNJ+ZzeMvf3wMc+ki+kI6/uaqbvSFV9qbAo0H/mSfX7gjhMcms/jhviXcO5bBBYN5azaQqqoVowBafa9WWOsKz2oCvFQq4cCBA9i+fbs1d5cQQjYDiqJgYGBg1W5EUsAlurLamiDBLWcQSrSFFGKKriyvfXn0hjT85oU9mEnm8J0nFvHMTBYffcUovrN3Fj94cgGPHMvgnd89iNO6fbjprBiu2L5sDW63w3bTG5KIrdb1msvlcNfBFNIFE70hHWd0Va4Dsj2xLP/0PeP41eEkDE3BzS8aglLMAfBY+iebzcKrLp9rj7oyECdrfyqVwt/evjzL3AQwsZhF3FeprcSi2jRNy8Ho/KFwQ8E8ANY4GAmQaQAkBJkumjCOFy+8cFsQX3ikPN5ncjGPoJa3rqs9UFor4ff2y7rwjz8vH9Of3jaFD72kf8Vz3Eb0AO6Jced71QvyAc1Zctpppmt7Nbg5D8l8TJk5bteVxWKx4XncUuRb7xw1qlOBxosF7PeQHf7yeIJMrmAFEGUOfKPFHGvNWmrWWvcs6XQaBw8exPDwMJPjhJBNRa1GHlVR8NzRIC4dCuAH+5bwxYfnML5YwP+9Ywpf6/DiTefFcE5vuajenrRzJrcURbH+dtpjlQMRD64/LYxv7F3EU9M5fP+xKVx7WsKKW/zsQBomyl3YvWGPlRT9u6sHrWYh6VqW97THPWWcykMTebzv9qNYypXQ4dfw11cPYtvxUKWMEfH5fFZRpKzLeyeX41LZ453hOxNe9IY8eN3ZMRxbyuO2p2vMqz7+GgXAp1+7E5Nzi7jncBpFE7h13yIAIOxV8K+/mMS+mRy8GpA7LncuGQ5CUxXsObKIVN5EzKdhe1yv2qQiOvTgcSv1XT0h+Hy+CmdLO9fsCqNoAh+9ZwZffXQBPq8HL94dxpcembds3yeWytu670gKpyfKaa6lXMnqXrZ3Zvt8PsvNRbRBtbie3X3R6/WuOBZnQWwtZLyKXSfatUs1Wl3LN0oDuJ07KSIIBoPW98w+w3v5Pqw2jbowiU6tdx0a7TwHKrv1pRFM7vUkzyBOp2vpNNkIax2rrFXMOjExAV3X0dHRsabveTLBxDghxEJRFHR3d+PZZ59teRv2xcstyJTP5+Hz+WAYxoqOFACWpZAELiQ5LpV6kuiWxUe6RhVFQTKZtIJvdgskCdRI0lD2z3UmtgL0+UvoG/LiuUPlP/4l08SxpQIOLJTw5GQ56f30TB6zmSIOLxRweKGAnz6bAjAHAOgO6jirx0CmYOLgXB7HkkX85wOz+PyeWVwwEMCVO8I4NJfBs3PlY/jbn0zigy/14/v7yslyBcBnXj2MYrGIi4aCWMxOVOxjd1CDqqpQFAUfu64fN/zXQeSLJuYyJv7m9mP4qxf0NF1V+K8v68dvfv0wJm2VpO+59Rj+89WD1owmmZkiHcYyW8UpuiTRXSgUUCyWuzUkyFYoFKBpmlUcYU+gu1FL0Dl/J3b0drHZiPhpJTG+UQFMoPydcNvHfD7vmthu1DKpkU7xx2dK+Mtbx5HOm9ge9+Cvr+xB3F+9U74Zu6ZcLgefz4e3XtiBc3t9+LWRQIVtKVC78nO9xj6s97adFItF7N+/Hx0dHejo6LAKWuRvISGEtCuGYSAWi2F2dral10tAS9Y5N22TSqUQDAZRKBRcnTmk0FK0gRRFSrFfsVhEMpnEm54Tw4NHMzg0n8cX9kzj3c/twqtPC+Hrexfw/aeWsHcig/f+6Ch2PDCDG8+M4gW7O5C1ja6pVgToNooFWJ4Pd9vTZS181fbgiuSZpmkIBALIZrO4+5kZfP7BOQDA71/ahe0J9zXcp5e3oQAwPLpVDGr93rb2P3m8u0msMI8mSwjrJWvtEbv6XC6HQ/M5yGjK83pWzuerhj2YBADP3+bHj54pX89Hj6Zxbk85QH3T2VErMf7xe47hHZeWNbg9OSv2hRJok6CmFL1euUPF/7t7CumCiSemsphJ5RDzVeqIWtrNqSGd11PuSWrRqhPRRuqOasfgnLUuNFowLYUntWg0yAlUHydQDfmcXzHkx3NfNwxNVaxuJHsHUDXW8xpspA3l0tIS9u/fj0QigVgsZiViZLYrIYS0K4lEApOTk1WL0DyagpedEsaV24P4xt4FfP2xBTw1k8Of3zaB8/p8eMulvRhA9XVFktYyBs3Obz4njp8+k8Jspoh/+eUULhn0IR4JoVgsj1gEgBef2gGPx1Mx4sLr9Va48YguEj0i7kbfeHwJ//6rSZRM4JROL/76RUMIaSv1o1ts67GJZZ0nXdw9x8eKPD2bq0iKv+n8Tiylc/jqYwsrjx/An33/AH79rAiuOyWEbzy+hKTVHa7if56ch6oAp3cZ2HO0/J6Xj4RRLBat+eLP6fNBwfI8bhl5InHcYrGIVDqDA7Pl1/f43BPidl6yO4xiycTH753F5x6YhmLG8bzRIH70dBI+XbFs4r/7+By+e/w1uaKJ3/naMxiMeDES96E7oGAgoqM/XEQ84KmIE0qzj9jaS0GoXKNq2sbr9Vbdd7fPqHNsz1o457ihquqGNfG4dY3L4273ZkBtLS64FSI40XV9xbzvWjRbLCD3arK/9s+M3TXMjfXWfW7usOvF2NgYlpaW0NHRgWCwfL8qo083w/ie9j8CQsiasrS0tKrXFwqFunMvTNNc8Udc0zTLxqhUKq2wi5buc5/PVyEyZJESy29JvNsDU4VCoSIQKEnlhhdQRcFgzIe+cBGXDCx388ykCtg/m8fTMznsn83h6Zkcji4VMJEs/6s4PqXcjX7P4RTuOZxC0KNARbkPfDFn4ne/fsB67t9f0wdd12EY5a6kr93Yjw/8fBZ3HS4f63BYs6pcg8EgPv/qPrz2S2MAgHuOZPDDpxZx9a7KuT6N8OkbBvG6Lx/EYq58bdIFE3/6g6P455f2W+cNWLZvkUBvqVRaYfctneKBQKDiM9WspY/dYr8eYpO0bFvaWPK6lWrK9bLcrka1brPViKFqN5TS/fbLwxn83Y+PoFACzuox8BfP60bQW/1cNTL/yA2vVq7wBtyLG04EGxmgBsqfp6mpKUxNTSEcDkPXdczOzuK0007bEMt+QghZD0zTXJWulELHWsVrXq/XchGyIy4cUhgpN++yTonWDIVC5UItXcU7Lkvgnf9zFD97ZhGXDgfxvBE/fv+yXtx4dhbfeiKJbzw6g/0zOfz9zybx+Yfm8ZozInjRKeUEbiPFZnY8Hg+OzKbx8PEZ31duD7k+L5VKYTZdxAfunELJLCfQrxz1W0lM53rl1cqBGFUpr6liLy/nUnTRj59OWaN7+sM6jiwWcHA2i7N6oq7a6e7jGlRTgESguRCCXcO9/fJu/OzAAeRLwN5jaVwwELDcYSRBf+/hJIDKzgQpunRavTuDce9/UTf++PvHAAB/9N1xfPZVQxXbqTXTUdf1Cv2RyWQs3SpJ8Xr6pBUnInHA2ijkfsrtPVvVX1LwWu13UtzczHfEaUNaD3sBhdDIiJ/NSDabxdjYGI4ePYp4PG4VNI+MjJzoXSOEkJapNkrHScCj4tfPjuElu8P40sPz+P5Ti7h/PIO3fO1ZXLkjjF8/M4zeKg54kiR1Jp7CoSD+5qpe/OF3jyBbMPGPd83gz5+r4qnpLA7O5eDVFFzcX5kkk7iXqqpW447dMTGbzWJmYQn/du8CbttXnrl9za4w3npBHKGAhmy2vpYolEzLxl3YlfBa+/+p+5aLU+N+DZf0e/BH3yvbqEuM0s7eiQz+8kcZhLxqhcvP+GJZP//W+Qn84mDSev2ZnWX9ff94+VgvGAhYHcOyjjvX/mPJAnJFE15NQW+oMU153akRFErALffP4j/3zOKlu8u6OWc7gB0dXmQKJo4slPf1wFwBB+YK+PnByvcPelUMhHUMx33oC+voDZZ/7g97EPZXd6dyIg6abs+v5hQlON1Tq9FK3LHZe5LV0kqTUz2qaUBxdRB914zebrYZKpVKVcQmGxk9tFGoqrqhMdOFhQUsLCzAMAxEIhHMzMygt7cX8Xh8w/ZhvWBinBBiYZom5ubmVrWNXC7nmvyUAKVbN6/P56tY+OS1qVTKEnSSrHMLHhmGUWG57LSpsVtvyn+lYr7RxcQeTBQ6Ajo6AjouHFju6izpBp6aTOPJyTSemkrj6ZkcDs7nVwhOqbx0ctmQH2d1ea2EsFh+vueqQbz8s0+hBGB3p2EJ60KhgIDHg7+/qgvv+VHZPvJf7p7Bub0+dFcR+7X4r9cO49X/dRCZ4zu8fzaPW+6fxVsv7raEn9ssGDe7b7cAmFSNNirwpPvELcltmqZ1HWV7+XwehmE0ZZXYbBK02oiA9aRaF0+rCXpVVasGG1VVxbcfm8FH75lByQQuGwrgnVd0WsH2arSSGJfZSrIvUsQix7lRCWrpjpOCkxOZmF9cXISqqhgYGKANJiGkrUkmky130AqpVMpVA4g1uriniEWldC6oqoqlpSX4/X4UCgUrYWl3HXLO3d6VMPC6s6P43IPz+Ne7JnBKvA99UQURr4LfvbgbL9/tx7ceX8S3n1jEgbkc/vHnU/j8Q3N43dlxvOT0YFPHVSqV8ONnlmACOLvHQI9LYDCdTgOKig//cgoz6SKGox783kXlhLF9LqW9wzvgk/nf5W3I+irV/UB5zfvEvYes97lwMIAjexfw7EwKmYz7WI9HJ8raO+ZrvlhLxifJNQwbGmbSRTw9vTzTEwDifhUz6RIWsyXXTohGtNfOhA9dARWTqRKm0yU8PpHBqd3LXbKZ413+wMrubmfXgzhWSfFFo9qg2cS4s4PoRNHqaCGg+jGINmxFV7XyGuc1dRZabxSSWHGz6t1ISqUSpqenLQtiQghpZ5qNVcZ8Gt5yYQdefmoYn3twDj99NoUf71/Ez55ZxIt3hXHTWVFEj+sa6WrO5XLweDxW4k0aeEzTxLa4jqt2hPGj/Yv4xcEknppL4MfHnX8uGfSjIxJYEauU19sfl27qiaUC3vezSeyfyUFTgN+5oAMv3R2y4qON6J6nZ3LIFk2ruBAoJ4gB4N6xDPYcXX7fm87uwId+MYPs8VifxCg9KvBP13Tje09ncfv+BWQKJpZylXEmE8DlwwFcf0oQX3tkznofv0dF0vTg6ZksFADn9hpWF624+zg5eHyE42BEh6Y23ll7w+kRFE0Tn3lgDt99cgk9QQ3HkkXr2M/sCeD3Lk7g1V94Bku5Et52YRz5EnAsZeLgbAZHFvOYTBaRzJXw5HTOck6yE/dr6A/rGAh70B8pJ8v7Izr6QjoMfWVsptp9iti0A8uNYaZpIhgMNjxOBmjNiWijrb3dChOB9emaloKCZnVds8WWgjMPIMWycl02whFIxnKJrrSPi91ostksJicnEYvFEIlETsg+rDVMjBNCLNZqPoZzHqAgws7qDFEUy9JuaWkJgUCgIrFuD4pJwFPmsEiwRFEUK2ErP8trZcFyW6xklt5aByq8KOKUuIpT4kFg9/Eu2KKJA3M57J/J4eCiiSeOJbF/NoeCQyP6NeA9z+u2ftZ13eoGKmYy+NbrR6zO+GQyCVVVrXN6dl8A1+0O4dtPljuz3vzNMXzr9a11BXz1dcO4/vMHLKH89ccW8JxeH87r91uJ+lZFj9iNNhOkkoCSs+DCOUtUaCbxDtROLsvsetlmoVBouTN6NTi74e2Pt4Icl9v2vvDgLD57/wwA4NqdIfzeRR0N3bC0WiwgDg6qqlp2j3K+NyoxXu2ztJaIpaVpmhgbG6s5y2pwcJAzxwkhbc9aaaxqNn1OXanrupUIl6Sm23otNpb2/5dA6OvO0XDvkQwen8rin+6awj9dN2olRSOGhtefE8PrntONrz44iW8+voDxxQL+6eeT+NyeGbzmzBheuD0IT51CMqCsQ3+0/7iN+g73bnEA+O+9i7jvSHmu+J/9Wqc13gZYtpHP5XKWPukLlDvAE4HK4kg5h6VSCblSyQp4jsS8GIqV15vxpep66MDxIOZQtPmiS3l/oLzmd/jLifHxpfJ9hySkLx4I4Pv7ysUCeVODjvr3JDLvz24Z/6GX9OH1Xz0CAPjXu6fx/64bqHiNzIR0InbTzufK56NRahW1ydouuieVSp2Q4Ja9G15oNbgnQUO3xHqrBZytduTk83lrJqjoyhNV7LieyXApoPR4PCgUCjh06FBVzdzR0YHe3l4WWxJC2p5Wi5z6wh6864ou3HBaFv/54DzuG0vj208s4ranl/DK0yJ4xWkRaFq5iEvWQtFVMrouGCzH9v70+f34xcEnkcqbeO+th2EeX+euPbXDitkAqJhLbY9JSozj0ckcbr51HAvZEiKGinc/twtn9ZQTqbKGNcLeyfI6bl8BdiW8KJZMfOr+5W7xnqCGw3NpPDG1MmbzgWt6sS1h4I97I/iDixO450gaX9gzg6eml58bMRT80aUJKIqCheMDxi8eDsMwDPz4iXK3++5OA/2JiOXsU+0YZL74cNTdhroWrz4jikLJxOcenMexZOX6ftfBJfzuhXEEvSqWciVs6zBwWpdRER/MFkoYXypgbKGAscU8jizkceT4/89lSphNFzGbLuLRicrzpADoCmroD3uOW7J70B/xoD+so6dkIhJaab8vBbx2xOG0UeR+xk3LKIpifd7sDUjrHddyYy3fMxAIrHlyv54DWTUymYzlSia60q5tNyIxLs5n63m/4PP50N9fdoqdn5/H9PS06/NEf0aj0XXbl42GiXFCiMVaWPbak6b2xLO9siqXy1m/K5WWZ8qIcJIZ1MVi0XqeBD3dAqMyO9Ln81lBJr/fb1WuVaOZRazRhb5QKKzYR6+mYFfCwK6EYe1PJpvD0WQJ9x9J4vZ9c/jjX+tBWK0MHsk2DGP5dalUasWxCm+5KIH7xzM4slhACcDrv3oQn3v1cMPHaOerr+3HK780Zgnsv/rxBD736gFUO53NLNLSSd5Mctw5IxOoXgnZbDVgrdmgzvk86y1IaiFdLxIAl+IP++zAekg3tj1gKMddMk3c8sACvvnYHADgprOieNXp4YaS4qvpxrF3jTsFf63E+FomzcVuVj43a23n3tPTg66uLuvnoaEh7N+/f8VnrrOzE93d3QxeEkI2BWuhK+1a0v7/dg0gQSP5fymQ9Pl8VmFdsVhEJpOx1j0JHNmLziRJ+84rOvEH3xnDIxNZfOWhaVx/StDanoySufGsKF5+ahjff2oRX3tsARPJIv7f3dP4r4fm8KozIrhmZ6giiW3HMAzcf2ge40sF+HUFlw+7i6uHjmbw2fumAABvu7gDw7HKAKJ05Ni7ci8YCOCCgcCKdblYLFo/v/f2SevxP39uArP58rk7PF9dR8ymy2viaV3NBzGB5dE4uq7jBduCiPtVXDIYqNAhbzw3iu/vKxd4/scDM/it5zTWiSBrtyR6Yz4dlw/74dMUvP3yLtfXSEJxPaimT9y6v06kJaOz4KRQKFjz27PZbN2ktqIoFVagbudUuuzcNF4tVqPxpDBmo8ce2XHeKzRbtFsLTdMwMjJScY/b19eHsbGxFc8bGBjYNB09hBCyWl25u8uP910dxL2HFvHZPfN4ajqLzz80j+8+uYg3nt+FF4wY0NXy2ry0tGQ5Esn8aUVRUCoW8KdXdOK9t09iIVv+ux7zaTirS7fcDmUtlOS6uOLJOMfv70vhY3eX54nvTBh4z3M70R2sTM80umY+NrlSu+3sMPCDfUs4NL+8Fl046Me3n1g53uglu0LYmSgnV8uFAMBzt3txxWgY6QLw8V+M4fmjAYx0+CGTdD76sn7ccySFy4cNFAoF/OpIWQdcMOBHMpm0ZqhX0zcH5sq6bTjWWrHlTWfFYELF5x8sJ/5NlG3dJ5MF3DuWRcir4hhgFYHaRz8auorRmBejsZV6NpUrHU+WFzCeLOLwXA5HFvMYW8gjmTcxkSxiIlnEnqOVr9MUoC/iRV/oeLf58YT59i4NIc2E6og7N6s/3dxLAXc7dimY3WjEHco0TWQyGet+ye/3NzzGVNf1CrdXZyObpmlVi6XrbbfVWKW9QelEuko6m7PWcsZ4MBjE8PCw9ffV7/cjk8lUjK4CyjHfwcHBqnPV2xUmxgkhFqqqIhwOIxgMYmFhoSV7EnvAJ51OW4uZfVETWyJZ0CQhVSqVYBhlcSV2Q4VCAX/700n8r3OiGIl5V4gr2YaiKFZFJrA8D8QtWSg2SY0eX7MdwvaZQU6shKRStg7q9vlx7Q7/ikVfbB51XV8hJIrFojUv0snHrx/ADV8oz26cy5j46x8fw3uvbN46z+Px4IuvHcaNXz5oPfamrx3BD98cQSqVWhHIq5VcrkYzgk0EiXQXA9U7lJu9YRKhrChKhdhxu4amaW64NZH9vYFlIR0MBpHNZq3Ppth9qqpqFaA4sV8zu6jMF038011TuONAecbnG58TxaH5Av7iRxP4h6t7K5LjUpkqydt0Or1qa/lq16zW7KW1rs4Uh4ZWLT+r0dvbi87OzorHDMPA4OCg1eGj6zoGBwcRClXvGiSEkHYjGAwiEAggFovh6NGjTSeGnIEPu560F1PmcjlLB8raJ3ZzgUDAGsUj+qzWuBVd19EX9uB3zo/jX++ewafvm8JZ3R6c3rcygen3qHjl6VG85twefPPhSXzl0XlMp4r45L2z+PLD87jh9AhesjuMgKcyQa5pmtUtfvlwwDWBPpsu4h/uLAdNr94VxlUuM8ilSE6KT4HlQKrzXHs8Hks73nBGHPumMjBNoD/ihf/4Ej6+kEehZEJ3FMQt5UrIH9/cRYPVC07rITO8rz8tgutPi1Q48qiqipBPt+wwf/r0QsOJcWClZnv3c7trPHt5zrZ8jmrdFzQbeKpm391qt8p6USwWrWOzz2uUz44UMgDl8+XURk4HqXQ6XfEdBJZdn+xjcpzYLSJlf1ZTLCBd487vuKqqVc//WgYYgWVbUSnAWat5n6qqYtu2bSu6zWSOuNgMB4NBDA4OWn8XCCFkMxAOh+H1eqFpGqamppp+vTRQnNvnx9m9PvzicBafuX8a44sF/PPPj+HLD+l484XduLBvEb7jusLeAS7rxHN3d+G8J5O4/3hC+PnbAlBgWn/vZa3RNM36/2w2i6Kp4F9+MYVbj2vA540G8IeXJCp0oFivN7JmmKZpdYwLEUNFyKPg8w/OWY/1h3Xctn9lUrzDr+JtFyesn6VZQNZzr1LC712UsBKScvxDcR+GO/zW2v3yU8JI+Mp28oIUp7ohHeMjLboQAcBNZ4ZhKiq+sKfc2erVFKQLJr6wZwpRnw4gh6TNDr6RmG7Aq2JnwsDO4w1N9lGdC9kSjizkMbZYqPjv+GIB2aKJw/M5HJ53bnECXk1Bf3jZkl2S5gMRD6KG2lBMq9psa7d430Y5LlZD9lFi7vIZkBii6K1sNus6ntP+mXFqtmKxaMX8a7m/yqhVeZ/V6m+573TeWzlHJKwnck8rTU5r9d7BYBAjIyMVjTmKoliNPPKd6e7uRldX14Z0yG80TIwTQiwURcHIyAjm5uZasn+ToKR95oUEh8Q+yDAMKxEpC4ssiPJHXlEUK8j58V9N4+5DKdx9KIWrtgfxjsu7rApEmc0ii2I2m62w8XMKSl3Xoet60wtIK9bZkrx2W8xlv6T7SAJ5Uk0nXfSBQMAKdkpwpVAooFAoWOfJiaIo+OJNQ3jVF8qzI381lsH/PLmAa3c31y3g8XjQEzLwqev78VvfLHcgFErAjZ97Ep9+5SBUVV0hzrzelYULtZAAbaNJyEaTr60s1jKjVCobAXfrp7UOnDWL/XPonC0jVk1yw6frekXHjOy7XdSZpglT8+Lvbj+C+46koKvAK06N4NtPLGE6VYSqAI9OZHF2bzl4LNu2X+e1sKm0j1AQ6lWCSkJZkiKrvS7rMX8yEAggkUi4/i4SiWDXrl2Ym5tDR0eHq60rIYS0M4ZhYHR0FOPj400nxeWG3y05HgwGkc/noWma5Z6Sy+WQTqcrEkHOkSHS+WNfO8VKXZ4n2716Zwj3jmfxi4NJ/OOdU/jwSzwIB3wV65Qk+/K5DF52ShjX7AzhR08v4SuPlO0dP/PAHL766AKuPzWM606NIOQt64pkNo87Dla3US+WTHzg51OYy5QwEvPgd8+PuQaApLNXZqdLIlOCl9JRKsWnUhBw2WgEXxsJWzoi6i3CpyvIFEwcWypgILJ8DlVVxX1jx4NaAE7tDrS05vv9fuv9RB/b7R/lXiHkVbGYK2Em3dx7iOV5o2u53bGqHq0crzNop6qq673ViQwwyXgke2eb/Xsq92L5fB6lUsn1M2jXxaqqWqN6FEWpKDh1Hqff77fuDe2jvNbqfMj727VhrfsUea4E+VfrDuUstFire4eenh5XC1ZFUTAwMIBYLIZsNouOjo5NGbwkhGxtOjs7kc1mcfDgwfpPdiDOe1aBpaLg8iEfLh0awq1PJ/GfxxPkf/vjMZzS5cObL+zCaR3L8SBxFSoWi0gmk3j3FQm893YTL9gWwMWjMQDL65jENewOmFPJPP6/O6exdyIDVQHefEEnrj81VLE+SJyzUS0zkSxiJl1cMV/8q48tYD5bsh7PF01kHHlBBcBHXtJf8VihULAaFuwjLGVttDdGeL1ea9TQ+cNRnDcUscbTiTukGyYUHJ4v78zO7iBUVWn6HkFRFASDQfz6mQqSuSK++dgc0gUTKoAnpnI4u7d8DMl862uvWJ5L93PUpyHq03C6o+6yZJqYSRWPd5YXcEQ6zhfLSfNc0cSzc3k8O7dSVwQ8SsUsc0ma90c81j0DAKsLu5qLVsX+nEC3HPv4S6ejpfxc7xic2k2cjOSzVy3BLY6xEisXnC6rrRIIBLC0tFxcUi9HIDpU8h6rLYx16te10HiiHd3i3rquY9euXZiZmYHf77dGSWxGGIUlhFQwPT2N8fHxpl9nT2o5Z+OKMJIAiIhKeb5dgIVCoYqk3fboEryaglzRxI+eTuKXh1J41xVdeO6uBDKZzIrAltPGT7oQgLK4abaz1T7HuxnkmKRzQipbJUAk50P23U0QSLJWKjTleDRNg67r1pxxuy2oaZowVBV/f1UX3vOjslXmR+6ZxXl9fnSHG6vIFOuUfD6PwUQQ/++6fvz+t8vJ8clUETffPoGbX1BWhFLRau/eapQTOffPDQnWSlDdTWjWqnzdCCTwm8lkKjr3ZQ6P2KwDy51k0iknIwckCV0qlTCTzOE9PziCp6azMDTg7L4gvvrYAgBgIOLBOy7vxCmJ8ven2ryi1YhvCe5lMhkrINloZ429UASAdV5O5M2AHUVR0N/fX1O0er1edHfX7mojhJB25tlnn20pICGuP27rjozYUVXVWjf8/rJ9o6whEsiyB+bsmlGSszJrWZKqEsQsFAr4/Yvi2DuRxsH5PP5jzyzeclFXhWOKoiiVGlRTcO2uMF64I4SfPpPElx+Zx5HFAj7/0Dy+vncBLzsljBvP7cJd+2aRzpvoCek4o7tSMwPAFx+ex0NHM/DpCv7s17rg01Wr61aCTVIwKcWm0uEjwSSndpVuWZ/PZz1HClo9pomBqBf7p7OYzKgYji93BpVKJdw/Vk7iB71qw11MduwJa7keolmkKFGCTecNBPDTZ8pzxpspRlyLoFM1Wk2S2h0O1qpjeK0RFwX5nokzk9zX1XLesgf85V6rUChYiXRg+Xq7ddG7Xa/VJJClaDefz1ccl7P4pRr2UUzNdOxtFD6fDx0dHVV/rygKQqEQ3YcIIZuWbDbrOo6sESRO4rQBVlHCy0+L4blDBr67L40vPTSNJyYzeNf3DuE5fT686TlxnDUYs9YVKTQMAPjQS42yPbehIZstr2my3sk6mk6n8fS8iffeehSzmSJCXhX/54pOXLotZiWfpSDL7uTSCI9NljVo3K9iJl0+J/1hHd98fBFAOSkeMVRMpopWTFX435d0oDcRrtBnYhcv+yS/c4t/FYtFa60UzSjrsBRuAuXYon2cythCDvmSCUNTEPeWoKqepq6nrutQVRXJZBKKouCtF3Zgz1gSB+bykK2MLZTX8sVsoSJh2gySjK6HqijoDOroDOo4p7fyd8WSiYlkAUeOJ8zHFgo4mizi0FwWk8kiUnkTT83k8NTMynudmE+1usxlrvlAOIft3WGU8itdfITVOjmullKpZDWjifaSeyeJYTqRexqJf8t3QNwcxa1BCi8BWPdv9uNd61hlebSAB5lMBktLS9bx2Md3VUP22T7uyf7zyUB3d3dNW3RVVVc4X25GmBgnhFTQysIhiVTBmSC1ByOkm0e6W/z+st2OLBIyU0SCmi8+vRMvPCWBv/rhQdxzOI1k3sTNt0/g7McW8Ncv6odh62IFliun7FWadhFUy3LFDUn6toLMGHLOVWlkMRRxLIlQ5z7YF2O3a3Z2XwDX7Q7h20+WA41v/uYYvvX6kZrvKXOP7O+Vy+WwuzuE972wF39+W3mYzt7J5WtdLBata9pKkluKKJyfGbtderPbXY2ljMyIX4tukfUilUpBVVUraSAVvJIMELt3+02K2HjJMWWzWRxbKuCvfnQMRxYLCHgUeDUVvzqchALg5aeG8YZzY4gG/RUBzrVAbqCcneciht0+7244r089S6VmWa07QGdnp2tXDyGEbCVa+TtqH6Mh8+nsf9vtug+AtU5JMaS484jrTqFQsJK8wWDQclgRPQosF3GKow9Qnhn5J7/Wi7+8dQzf2LuICwf8OKfXDztua4WuKrhqRwjP3xbEnQdT+PIj8zgwl8eXH1nANx9fROR4F8hV24Mr5g7uGU/jiw+XvRh//6IODNlsJjOZjHV89iR/I7rSXtzm5mg0EPZg/3QWh+dzOLe7crzJ/uMBu76Q3rAekOBooVCoCIJls1lLw8q1sa/nv3lOFD99pqxdv/LoIl59emNJPgleOa0Anf/fbKJztTPAJehdLVB5ouaL27F38Ng7fcQOPJPJWAUMomvErcduVelEvk9SwGv/jq0lEnB1dtmJ1aQUE9fCOSqpWCy6jo5qlbXoGB8YGGAXOCFkSyPuis0g65dooHQ6XaHdPB5PeR30qHj1aUFcd3ocn7t/Et/eO4cHxjN4YHwcV+5YwuvPiWE0sGzNLJpMGl5E9wCwnFAMw8C3HpnCx341g0IJGI158OfP68JAdNlS2ulw2QxPzRxvuvEsJ8afnc0jVzStbvGF453j9qT46V1evGhn2FqXqyUsa2FvUHBqAHts0OkQeeB45/Rg1AOtxogTJ6Lz0um09RoZt/iXVw3izf/9jPXcqVT5/ZI5s6Iwr5nRj6qqWjOzBWk6Eeq5D2mqgr6wB31hDy5A+f5B9iVXNDG+aLNmXyhY881nM0XMZUqYy2RdZsiPozuoozesYyBsS5pHPBjtCiOfPbG6UjS93MvZ760URakoGAUqm+pKpVLFPHVnvE+a6+S74+Y6uRaIy5V9bCWwfK8oxb21cH6uZaTqWjmQrlYPGoZR1dlyq8HEOCGkAklUN4qbNaBTbGazWSsoJMEL6QyxWwwCwNLSkhXYEsHp9/vxd1cPYu9kFn/5w8NYyJbw0LEMXvOFp/GWizrxqrO7rIVJgjhrMZd4LYI3MltvPaxHnAl3J2+5KIEHJ3I4OJdDCcDrv3oQn3v1cMVzZP5KJpOpaS94ybYY3nJBHt95ch7/edOuiveULupmF+dGBIUEgBtltYnRet0hJ0MAE6icDy6VvWLTI51z1Wb3+Hw+PH50AX/1ownMpMv2qam8iVS+iP6wB2+/vBOndxnW6w3DWJPkuL3wotYcz0YDp26CUoo01qKoYTWi1ev1oqura9X7QAgh7U6zTituf//tnbfAsnuOdP7YZ9JJV7R0jEsHiyT1pMNAEuX2fZP1x77eXbE9hpeemsR3H5/Hh+6axkde2oeQsZw4ruV+o6kKnjcaxK+NBHD34TS+9MgC9k1nMVkoP//oYgGTyQK6guVb8plUAf/48ymYAK7eGcILXOaKy6iUZl167Li9dihmAFjC4fkcgMp7gWNL5eDOrkTtGX1yjqXLxm0dLxaL1oggKYi1JyX74svv/T9PzTecGAfK16/Wut3KyJK1CDxV0zNrWcy3WqTrW5Lk0jWeSqUqXK+cwcdawUjpErI7K8h3bLVBQXvhRa19yGazFX8TqlFtf9aqMHS1x5tIJJq+RyeEkM2GuCk2Ex+SWJdgmmaFJszn8wiFQtZompCm4S0XJvDSnQH854Nz+OmzKfx4/yJ+9swiXrwrjNc/J4FOQ7G0lDj36LpurfeKoiBXKOGjd4/ju0+Wu7cvGwrg7Zcl0BEJrmgQEJpZczweDx4+Wi76KtnWmEePJ1JNwEqOD0V1HDxuX+7VFLz/hcuOddJcYB9r0gxu10JcGO1zyYWD8+X433DUY41CqoY0VEjc0C3Gk06nMRz14Nw+P/aMpzEU9eDQ8RnmS7nK2HAzox/l3qLW+l3NLr4a9iYkr6ZgJObFSGxlx24qX8LYQh5HFgsYOz7PfGwxj8MLBSRzJUwkC5hIFvDQ0crXqQrQE9KtGeZi0z4Q9qAzqK0oxl1P5FrJ5wuAFbu2j3pq5jMnY6M0TbOujSTHV4u9O7yWNpeiSbciYztunxt7DPdE09/fv6p7yc0EE+OEkAr8fr9lS9kI1awBTdO0ElT2oJB0QTsruyRwItYkIljsibLdHUV87lUD+OR9c/jOE4solID/98spfGvvPP72hb3o9Ks1E8VA9ZkkTtbaPk9sz8Xir5nEndui2ui+ferV2/DiTz2BfAmYy5j46x8fw99dM2hdm0aq66RT5LpTQ7ju1FDFObQv7HYr7EZwdny50WxAci0CbdU4mQKYAKygv8yzt3+mau3nYxMZvPuHx5DMlaApQKZQPmcvOyWMNz0nho5IaEXHjdfrXTF7shGqdYfXI5VKWQUyzVaAOs9FqzRTUexkcHCQQpMQQgBEo1HMzs42/Pxqf3ftgTd7h4ZbUE3s++R5YhNn70K361fpbJE5dPZixlKphDedE8H9R5IYXyzgY7+awbuu6LJe18h6oyoKrjqlE5cM+vGhu6bx42fKgcwfP5PEzw4kcdX2EF55WhgfuWcGc5kSRmMevOWCeNXtSZeOvXumGf0jHdt2eo7H9g7MpgFEl9+rVEL6uE44b8DvqqOl8K1eMEmwXz9x6pERRKZpIqArSBVMTCw1FyxTVXXNZjkDsAJvrSJWku2CfC6kEEX0Vy6Xq6rXS6VSzW4dCWLacX7HmsFeCNPovZDMQHXauTbCWlleruZz6fV60dPTsyb7QQgh7YyiKIhGo5iZmWno+WLf7MQ+L9vetCNrltfrRW+4gHdd0YVXnp7DZ/fM4f6xNL79xCJu27+EV50Zw03ndiGXW7YLt+vXDDy4+fbDePhoGgqAN53fiVeeGrC0UrU1oZH4mJyHZK5kdV/PZ8rvrSpAybZpE8AZ3QYenVheoz9wdc8KHShaxz7mrlHcdGEt7XTw+D6PxDyux2u3Y2+kk900Tei6jut2h7BnPI3p1PL+zGYqO/Kbic+4JfVXi90RqxYBj4qdCQM7E5UJX7/fj6OzS+VE+ULe6jAXm/Zs0cT4YgHjiwXcN1Z5DT0q0He8u7y/4r8exHzqmjvS2B2/MpmMVdAM1I5l1/r8yxgD+3MkOd5q8aA0FEmRTCPYx3U1mzNY689UKyQSiU09M7xZmBgnhFSgaRpGRkYant1T6zm6rlvdOlKRKUFEmQ0pCXF797DMzZaF0265qKoq3nJhB157bjf+7PsHcGShgEPzefzmfx/CDWfE8bZLq1sX16tIFNZr9rXYCALutuW1XtcKhmEgk8ng62/ciZd9eh8A4FdjGXz70WlcuzvS1LbswV+xhQQqRY1UyjYaRFqP+SqrsdER9wNxK5AAq9Pm82TBXnEorgz1hNk9h1N4/88mkT/+kSqaQHdQwx9dmsA5vf6qYl26uuzfy3qIEG61wETOebOCs9Hvi67rSCQSKBaLWFpaWnEDKBavHo8HXV1d1nyq6elpLC4uVt1uIpFounqYEEI2K6FQCH19fRgfH6/73GoBTGBZe4g+E30pMxnttugye1Bwzp+WLhZxRMnn89B1HbquW24pEpgTe80/uawT/+eHR/HTZ1O4aDCJ540GG06M25Pwj0+VdcqrTo/gyeksHj6WxQ/2LeEH+8pBWUMrzxU39PrBO9l3Cc404sQj587JQKRs2X5koXKNtwdTr9jeAZQKls2hpmktJX9zuVxFIaV0k4jeOrXLwP3jGZRMNNwZth5Wiq2OCRK8Xi9SqZTVOWW3fiwWiydd0jydTlsdMPZ7ttVQbSRVMplsSt9Jcr1Wkr4edo3f6DaaKZIMBAKIRqNIp9NYWlqq+JsjQVtxEevs7LS+O5OTkzX3Z2BggMWWhBBynL6+PmSz2bojMoDqTTxAWUP5fD7r76s4pNj/HgcCAZwVCOCDQ3H8fN8UPvPAHPbN5PC5PbP4zuPzuOmsGK7ZGULw+Da8Xi8eG1/E+352BJPJAgIeFe9+QR+e010e9ePxeGrudzNxlvv2TaN0PJYzkSxrlZK53CUOAF1B7bgTUJmX7Q5hR6J6d63oEhlNlMlkGloDm1krDx7v5h6OeqxRgPLebiN4GiGXy+GCAT96QjqOLRXQGdAwlSri6ZllXei0Qa/Heqy7q02KmqaJqE9DV8SP80fK9zzi5uPz+XB4ZqnCkr383zyOLhWQL5XPffn8V+oyv0cpJ8nDOvojlf+1u2Q1i3wm7KMd61HTiev4Npy/l2a6ZhqZZIRAqwWw8p5yr9jotW30M6goCmKxGAzDwNLSEpLJZMV75HI5K17d0dGBaDQKRVEwPz+PmZmZqt9HFluuhIlxQsgKDMNAKBTCwsJCzec5bYmcuC0y9iCYBETcAhTOOW/Obpj+iAeffMUQvrV3Hv9+X3lmz9cencWP9y/gPc/txOndKxPkmqY1HcBcL+ydTvW6fVZt45fP4++v6sJ7fjQJAPjIPbM4r8+P7rCnzgurI8LDbiEj8+GlWq9WNWyjwbBm7ZwarcJ0wy7+nZ/rRosYNhr53oj9VS1u27+Ef/7FNOxX5NqdIfzW+XEEPMszy6shBS2NBErX0iKo2RmP9USpYRjo7OxELBarEKaFQgHJZBLJZNKyFI3H44jFYhU3RqFQCLOzszhy5MiKbVNoEkLISuLxeEOJ8Xr6y25RKXMFZd2Sv/0yS9BOqVSqCKI4k5KSfHUmQmX9KRaLOLXLwI1nRvFfD8/jo/fM4PQuAyMN1kCJjnt8KouxxQJ8uoKbzorC71Hx6EQG/37vDJ6aKa+r2aKJzz80hxvPjGI0vtJe0Q37jMpgMLjCIr4R+sPH7dzTRaTzJfg95XXv3iPl7RiagmI+axUMShGBdOQ3m6x0BhylSzmfz+NNz4ni/vHy9fne4/O44ZxuVxtvQTrN69FoUE5Yq+SwfQ6nsBpXmvXE6/WiVCo1fC8k9utu1AtQNqPvFEVZk8IHKZJp9Pxrmlb3eZFIBJ2dnRV/d6QAYmlpCUtLS1bHem9vb0WXjt/vRzQaxeHDh13vuzs6OtjVQwghNhRFQTwebygxXuvvt93FUWIC0uQhxUxi9ezxlK26/6nXh7uP5PCpe6cwvlTAv/1qBt/cu4DfvqgbF/Xp+NmzKfzLL6eRK5oYjOj422uG0GWU96ER2+hGNIrE3PYet0wfjXkxkVxea0UNaQpw2ZAf33y8XHgZ9al460WNzRQW3aIoimUzX0sLNbJWAkCxZOLwQnk7p/RGKvSRaIZWxt6USiVoqoLrTgnj3++bRf74PPWZdBEzqQI6AuVEfzKZtOKv2Wy2agK22TFQjbLa5ivR2m5FgrlcDp0BHZ0BHWf3VsbCiyUTk8mCZc1u/+/EUgHpvIn9Mznsn1mp5SOG6ugwLyfN+8M6fHWKeMV5Emi80KCW7har82rY58nXwj72YLXI6Ne1+ryoqoqOjg4kEgl4POV4fWdnp3Vvt7S0ZO273++veJ48Fo/H8cwzz7j+PWGx5UqYGCeEuOL3+6smxsUeudk//s7gh/xBd3YZuwkGt8BLqVTCK89K4MptQfztTyfw8LEs5jJF/J8fHsPFQwH86eUJeG2LdaNBu7XuOKmFCFtVVS3bQufxtyKgROwJZ/cFcN3uEL79ZFkYv/mbY/jW60ca2pZbcEyC0vaZ7rKf8rmQDiZ7MNM+s7CR9222m6betQsEAlWLEGoJhJPB8sYNuXGo91380sNz+M8H562fEwENf3RJAuf1L1sO1ROaACzb9lrU6vhrlWZtr9wIBALo6upCKBRyrdTUdR3RaBTRaNTl1ZXE43EoioLDhw9b+9fZ2YlEIkGhSQghDqT7utraIC4tjQYpZE22W0Hag2tOLeAMsjgDBcVi0SqAcwZU8vm89diNZ0Vx71gaT03n8KFfTOOfrgvX3Vf7cd+2vxzEvXw4YCWee0O61ekjXT93HEjhjgMpXDLox41nRbGrRnePE5nBKB30jWr1sKEhYqhYyJYwtljAjo5yIOuJqbJ27g55KrSQzHcXC8tmEuNuASSv12vt92l9BoBjAIBv7p3HNbvKc8bdgpn22ZP1cLOQr0etAJ10VFX73NbS7ydjUlywF1rUQ2beO79TjToJyNiDWu+31qOMZB5sI9egWmePdPJ0dna6zraU+x3DMJBI1E5EqKqKoaEhHD58GPPzZa1uGAa6u7sRiTTn8EUIIVuBerbJ4kLTbGG9/fl2e3F5XFUUXDpo4NLhYXx37xz+6+E5jC8V8Hc/HsPODi9O7zKQK5q4eCiId1zagaC3VKEjxK0IcI9bOWN4bsj2JDHeFVzWNioAWdnedG4MtzwwZ/3u4y/vb+hcON9LbObFLt5t/xqNf4wtFlAolYstE34FBZu8smvwZubI2zvBX7QjhM89OIf57PL6/t19abzpOTFLA9oLItxcPJtp8GjFMamWw5Hd1ttJvXNSS9NoqoLesAe9YQ/O76/87uSLJo4uFXDEbs1+fK75TLqIhWwJC9ms5XhlJxHQyvPMw56KTvPekA6PpkDX9abHElU7xkavi4xkrFXIIc6Qa8VabEvXdXR2diIej7ver6iqimAw2FCxpGEY2L59O5555hnrPEQiEXR3d1sODWQZJsYJIa5Eo1EcO3ZsxeOSWGylwspNMLl14maz2RULv3NxEPGq6zoCXhXvf1Ev7jmcwj/+fAqpvIm7D6Vw01fS+MOLO/CC7eWAWqlUqikoFEVZVcdxs0hSXPYtlUpZyWR7RWkrwbN8Pr8ikPSWixLYczSDQwsFlAD8/U8m8J7nd9fdlltQyDRNKzkuXf/VLG2A8udGFuVGBWQrCUYJbldLZEsnsJsYPVmT325ommZZmdaiZJr4p59P4SfPLn+mr90dxVsv6ULIq1nX1mk7WwunbbsIXpn5s9qZnKvFKXTdOnnWglgsZhWzBIPBlgLuhBCyVYjFYjh69GjFYx6Pp677UDWqObm4JdGcOqpQKFQEpuy6wa04UfSLrir4k8s68UffG8dDRzP474em8dJd1dcWeydzplDCHQfK6+xVx3VpsWTiA3dOYT5bwra4B/94TS+OLBbwlUfmceeBFH55OI1fHk7j/H4fbjoritO6agcz7Guz3SLembytpisHIx48NpnF4YW8lRg/slg+9tGYZ4WGtltgrhbZlnwWDF1BtmBizDZnXI5JCi3qzep00krndy0NLjreLVinqupJOYanGoZhVIx8ava1Mj5LaEZX2oOYilIOpMronrXo2Hej0XsM2Sf5jLl18qwFiqJgcHAQiUQCpVIJwWBwzed9EkLIZsEwDFe9J3G0VmIR1Qo43f4WB3wGXnpKGFduD+IbexfwtccWsG8mh30zOWyLe/DGCzoR9JbjJM41TGIpbtSLJ4ieK5ZMPHE8UanY/ABFsVw04MPX9y43Of3mc6IIeVcXq7AXCsjYoUb3Wzh43NZ9OOqBR9dRcJwb0VQyJqlR5LlBr4qrtofw3SeXx959a+8sXnV6yFWvWprTMCznqEZ1UKv6pJ7+kBGGzm03EvtrBY+mYCjqwVB0paZJ50sYXyzPMJdk+ZGFPMYXC1jIljCdKmI6VcTDxypjq6oC9ITKXeX9YR39tm7zroAOTa2ub8StQeLN9scbxX6OVVW1NKrc/611vL+ZeL3zueJmGY1G17TBxuv1YseOHUin0/B4PEyI14CJcUKIK16vF8FgcEVQwzTNlhKI1TqBTNN0DSg5hZDM6JOEl/ze/ryLBgP44o3D+Mjdc/jhU/PIFU188K5pfOPxBbz3+d3oCOhVF0KPx2MJvPUKwri9p/N97Mlk+7xFt26MWtuV43HysZcP4NX/dRAxv9pQUhxwvxmQBKjsowQ0q+1jtcDhWlOt8MEwDGiaZs3jFrEl/050MrcZpDilkf19x/ePYt9xS6SAR8WfX9mP83q9KBbzyGTKnz2Zt9jMZ8xeyWsPYK7WHqoazfzNkedGo1F0dXWtqwiUbiBCCCG1iUajKxLjxWKx5aK0ajaHbjquXoJJApe6rrt2m4vFeqlUwmDUg98+P46P3jODf//VJM7tH8ZA0CVoelzzSPLsl4fSSOVN9AQ1nNlTXjc+/9AcHpnIwu9Zniu+Pe7Fn/5aF3797Dy+/Mg8fvpsEveNZXDfWAZn9xi46awYzuoxXI/JLWgknfR2t6dqAZz+iI7HJrMYW1g+d4vHu27OGwy5aui1cojxeDxQVdXSONtiHjw+lUPBZVdl5I10rDdKKwEnt9eIbhJE45ZKJZimiVKp1FS3/omk0UJLJzKXtVQqrbhXlO9MM4hlqzgQAOW/D+ulKxv9LJimadnpJhIJJBKJdSuElOJoQggh9YnFYq6FkGvZCSrbdCLaw+9R8bqzY3jx7jC+9ngS33psFs/M5vG2rx/A80YD+J1L+hBzZF0Mw1hRdCXY10InkrgPBAJ4+PAc0gUTAY+CPUcrdVjIq2Aw4sE9R8qPx3wKXnVGrOnjrjYmR3Sf1+ttOoZ2cK6sL7d3+qu+x2rjhdedEq5IjKfzJr7z+AJuOlurGu/KZrNN67ZWnX/cXie6KZfLoVQqWQWg9njlRrqaCn6Piu0dXmzvWDnaaSFbXDHPfGyhnETPFEyML+YxvpjHfY7X6SrQJ/PMwx68+swIIoZm6Z9CobDiOhiG0VSXt73RTtPK11005XrEo5vRqplMxrqP6O7uRjgcXrdCSF3XEQ7Xdzfb6jAxTgipSjQaXRHskI7bZmcJ1rJel7nUbnZFdrxeb0Vi3C2A6fN68a7n9uC63QH87U8mMZEsYP9MHm/6+hHcdFYUv362ezeRvTrQMAyrQk1VVSiKglKp1PQxrxbplHAGeCWJKUgQzjRNqGp5VrRYaQoyIzOfz+Orrxtuaj+cHSByfcRWSao669khOosb6tFKsFzOi9frhaIolo2783PSDsFKN0QwNnpudnR4sW8mh9O6DLz3Bd0IedUVwq2VsQjyukwms+a26W4081kwDAODg4OsiiSEkJMIj8eDUChkaQcAVgKxltOLG6qqVtVkElCyF8q5BRyy2azVNa5pGvL5fIXOFMQSulQqWZ1IL94Vwt2HU7hvLIP/+5Oj+PDLBqGalWurbEcSuD9+ZgIAcPXuGIKBAH7+9Cy+/Ei5m+cPL05gIFKZSByKevAnl3fi18+O4iuPLuDHTy/hoWNZPHTsGE47Pu/8/H7fCo1WDUnsi46wnz9Jco4mAsD+JI6myvPbD85mUTp+Wc7vreyiabXY0bmP9sCqBIo1TcMbzonhz39UPme/PJTEJUMrrQObTXS3EngyTbOi4FQKVp3ax3ku2qFbXLpoWtHbiqJUvf6tzG6UwohMJrMhGr3Rz4KmaYhGo1WtLQkhhJwYotEoxsfHKx5rZDyHG7XG/UhThX1tcsaWYj4Nv3tBB16yw4/PPTiPnzybxE+fTeHnB/fjxbvCuPGsKGI+zdI4oj2dBYdO9xzBPp4kn8/j8eNjbnZ0GHj4WOVz33JBHB+8a8b6+QMv6mnqXAj1Er9SUOos6JJ4oWBP7h5eLGvl4VhlQZ6u6/B4PC2t/3JtRMvs6o3gvP5Z3D+2vK1v7l3A9aeGEQn6q8YiC4VCU5+dVgv3CoVCRXGhxG2dI5/WusBjrYkYGiJdGk7tWm4S8fl8KJVKmFjI4NB8rmKe+dhiOXleKAGH5vM4NJ8HkMaNZ5XHGErRqxNFUVoqCrCPWtoITS7Xsx4+n2/dE+KkOZgYJ4RURcSmM2AiQcdGq+QamQ1nmqYlAqsFuuwBzlKptKJD2Z7I3hb34j9fO4rP75nF5/ZMo2QCX3hoHrfuS+LvXzyEbXGfZVPj1rHkFCLNJNn8fr9l6W3fNwBW0rpUKtU9f04rH+lGyWQyDSXpvV6vFcgT60m5Fj6fD9lstm4wTOZGiuB12uhL9V0gELC2VatwYq3nuTiRG412TXzXwm7z7/P5rM9RLf7g4g6c1+fD5SPBqkJ/rQOi64H8Xah1vBvRIU4IIaR1otFoRWIcgKUxmllTvF5vzaKsQqGAYDCIVCplaSA3JNElutMtKQ4sazgpRFQUBX90SQJ/8N1xPD2bwxcemsMbz41ZAc98Pl+hg6ZSRTxwPED3vGEDh6YW8cGfTwEAXrI7hOeOVp8X1xf24M+uHMIbz8/gSw/N4PtPLmDvZBY33z6B3Z0+/Po5Hbh4yA/zuDavhX3epq7rVmGAPNZ9fPk8OJtBNpvFnc+U5x1rCpAI6JZ9ObDcJV0sFpHL5aqOqXEiHTB2Tev2+0t3JIDjifEvPbLgmhjPZDI1g9lOWk2MOwOWmwX796jZ72A6na7q0tTKed5o56Z62ldVVXR2dq5rhzghhJDWkW7IxcXFisdTqVRT2kDic7VIp9OWm2Y1d8lCoYCBmA/vvMKDG8/txL/fM4H7xtL49hOLuG3/Em44PYIbz+mynu8W15B4pmhYceYTdz6gHBN9bKK8Xs5nKtfgiwf9+Og9s9bPzx0OoC9a6W6nquoKVxcpULV3LddL/DrH9Ph8PsuhsZqeeGamrBP7g2W9LJpPEsSBQMAqGmi0+79YLFoz58VG//pTw1ZivDOgYSpVxE8P5fCKM0I19U4mk2mqWLfZwl5p3FkvN5wTicSNS6USEkEPeqL+FfcFxZKJqVTRsmWfShUQ9JbvXaqdR2n+arZDf6Mb23w+X00dzYT4yQsT44SQqmiahnA4jIWFhYrHC4VCQ8luoLK6sRYyK9Ln81UNPtnniheLxYrtip2i/bF8Po/XnhHC9Wd04N3/cwhPTmUwmSrgd/77GbxgWwB/dGnCWmCdHdhOstmsFXA0DKMiMOj23GoWOfb9qxfAdO6HWHJK4lnTNOufoijW3BQRILlczrVrw35NpFrRPtNc9k1mf6ZSqarXROyz7fsqVjdur2nGcWAzCsZWcXZ1ZzIZ6LpuCdBqKIqCy0fKweRq1zCTyTQ9PuBEzGOv1tnOhDghhLQHkUgEY2NjrvqmUV3ZSAJPircURalque7E+f5i6W3XRul02ioyHAwo+KPLCvjb24/hSw/O4NxuD87sKRds6rpeoQNv27cAE8CZ3Qa6gjrefesxzGeK2BH34q0XdSEQ8FV0I7sR9ZTwu+fH8OrTQvja3gV8/8klPDmVwc0/GsNozIPXnhnFi07trHmM9mORbhS/328Va450lNfRsYXy449PTwMod0KZpmkdvxybXAcJFkv3k+hx+3WWQtR6SWa7lveoQL4EHDhuvekWgGxGK7YSiNqsWtT5PZJEQiNFl0K18VTtUESQTqddP09MiBNCSPsQi8VWJMaB5ThYI4lVNxdKJ36/30qKSwGkG6padufb0eHFP7x0BL94egafeWAO+2Zy+MJD8/jek4u46awYrtkZgkcrr71er9dq7slkMhXrqryPvSvbNE08Nlne34Pzy/uhAsjkS0gXTOvn37mwY8U+SoGnW4zWNM2K2FKtuJ0zlilJZWnmUBTFOl+KoqBQMjG2WN7fkWhZE9pjl8CyrpT3FadMcYG0YxgGSqWS67V7Tp8Pbzo3hkuH/Xh4qoiP3DWBL+6ZwpUjBry6ZulWpw4QZ6VGCwU1TWuq6cdt5vxmQAo67MUb0jxlP5eaqqAnpKMnpOM8xzay2WzVz1u9pPPJQLX4qM/nQ1dXFyKRCBPiJylrN9mdELIpicViro+n0+mG5qCpqlo3ieb3+y2BkMlkqooFCdRIdaH8LNaWbq8zDANRn4p/urYHf/rcHhh6eTG6/ZkUfv0rR/DgZNGaky04u72B8kIn4svZNe22n1K1aMeefAdqB44kIOskn89D07SKLh3ZH5k9Ix1LEpj1+XwIBAIIBALWDYJcOxHfYtsuz5PjqBdM1jSt4vpKx5DX67WS7oFAoEI4N2p9KfZMjSKiebNRTXCLNVAj30OxKq1Gs7MgNwpVVRGNRhEKhVb8LhqNYufOnRgaGmJSnBBC2gBN0xCJRFx/J4VztXA66VR7D3GxaUTHCBKIEY0pusqJFHCmUik8f2cc1+6OwgTwoV/MwNR9ltYSTNPED58qF5hetSOEnz2bxGOTWQQ8Cm6+ehAqSkilUlYHrhuSxAOAjoCON5/fgU/dMIAbz4rB71Hw7Fwe/3DnFH7rK0/jR08voViq3G9N01x1qRy3YRjlwI1fgQIgmS9hbGYJz8yUg6ZDUQ90XYfX64XX67W0onSQJ5NJGIZhze4TS0vRn6LzaxW/CnaNKPbyuWK5w1zTNEurCvl8vuG5zM12m8gc0M2G3YHIjrjzGIbh8qplJPBd7dzk8/mmdeVGBQu9Xi/i8bh1nyKoqoru7m6ccsop6O7uZlKcEELagHA47BpbKpVKDf0dlw7lWhiGYb2H2ygVO3aXyHQ6jXP7/PjoDaN49/O60RfWMZcp4d9+NYO3fXsMP302CeX4SBNxhPT7/ZbGCgaDloayx7gml/KYTK6MeV0w4MODx5aP5VVnRBH3u58DtzXX7/evSEpWO4diU+1EtLff77c68SVW+ex0CoUS4NcV9Ea81iglwzCsY5b7ABmtk8vlkEqlrC5yOT8Sc6y2f6qi4NVnRjEQ8eKaXRFEDRUTySLuOJC0Chv8fr+lVe16oJYed1LvvsWOFApsRqSw0okUPtfTeHLvVqsZ62QlGAwiFoshl8tVHKdhGBgaGsKOHTsQjUaZFD+JYcc4IaQmtYJN9WyKGqm2kw4du813NSRAqaqq1T1dzdJZurrt+/Zrwz5c3D+If7hzCr88nEYqX8Kf/+Awzuw28BfPL89fBpaDhLlcznpPt47aWgE25++qzcxxVsXVOib5nWzH6/VWWAzJvpqmiWKxaAk85/WR+dtO7F08Uj3ZiNWgfXuy33bLGxFE9rmMjdhbmaZZswpThLSqqta+n8yiqVXq2XulUinLDtWNWrNYW6XRrv9W0XUdvb29iEQi1o1oLpezvpNer7du4JYQQsjJRyAQwPz8vOvv6tnlNRJU8Hq9VqLW2flSDbE29Pv9yGQyrvpEijDt+iydTuO3zo3ggSNLOLaUx4d/dhhvv6yya/vxqRwOz+fg0xVcPhyAX1ewlC+hJ+JH3FMZ2Kx2fGI9bn/vvo4w3nCOhhtODeHbTyzim48v4tB8Dh+6axpfeGgerzkjgqu2hxAJBaqOmPH7/RW/i4WD6A5qOJYs4shiHtOp8v6d1uW1ustzudyKIkR7saod+3lspttD7j1ec0YcH/h52U5977EkTukqXx8p8JQEvBSF1tOs9WaPSvJfttnKTMOTnUbGENQ6j6Lf6xWcnGwBwGAwiN7eXquYQ5wJ5HiDwSCT4YQQ0mbIPOtqLo611nynFbgbkkSVOePVnCEFWfsKhUJF9/TlQ35cPNCPH+5bwhcemsP4UgEfuHMKX3tsAb/5nBjO7fNbxYVCtdiodItbx6ECQxEd9xxZXtsNFXjl6eGq2shtHEojo1Hsx+SG/XzLtRHN8ayt2FJGc0pc1464DyWTyYrHi8XiCmenRnRlwKvj1WcncMuvJvHVRxfwvNEgAseTteLo6fV6K2aVV3PEcSId/9XuNQzDsM5zNps96bueW6HedZCGunqfmXqNZ82y3nHhzs5OdHZ2WsXQUowtjgzBYPCk08LEHXaME0JqUm8REpsiJ42ICbultywkHo+naleL7IvYsjhnOMr7yvxst8CPV1fxF8/vxj9c3YOoUf4T+MhEFq//6iF8b1850S/dtdKV4vV6kc/nV1QE1jo32Wy2oiKwWnWgPQgjnSn2Y/L7/VZlpHQICzIjXRLgcv4Mw6gZ3G3EJrFR66l8Pl/RsS6IuLHPJpcbBKAsVBoJQMkNjR1JikpQq5bVe7sjgfh61BJd69FN3WjXfyt0dHRg165diMViFe/j9XoRCoUQDoeZFCeEkDallv5w01pCI+uhPYiYzWat7ptqGkzmKWYymYqAmPN9ZSyNmy4KeFW84/JOqArwo6eTuOtQ2ury8Xq9+MmBsg577rYIYkEfgsEgrj8thov6PCvW0lprufO9JWkbMjS87uwYPvWKAbzx3BgihopjSwV85O4Z/O63xvDlPceQzpVfq+s6/H4/fD6fdbz265HP5zEUK2uGp2dyyB/vPL90JGw93y1wWsvtSWhUN4h+TKVSeN625fuBT/zymFVYaZqmVZwLoKIYtJHtOzVEIBCAx+NBoVCwOt5bCcKd7EjRSb0Cglq/z2QyDen3ZnSiqqrrNl9c0zQMDAxgdHS0omtJgvvhcBiRSIRJcUIIaVNqrdfSoOGk0dnQ0ogCwNKIgUCgql6zuyU6RxrqqoLrTovh86/bhd84Owq/rmD/TA5/8aMJ/OWPjmHfdGXCW97D5/MhFApZWuXx6Uo9+BdXDSBZqDyW15wVRdjQarov2rVQtY5f5zlyHpPoSdHa9t9JglBieTJffHtiWZe7xYuLxWJDGqzR+F86ncaLtvkQ8Kg4MJfHvUfSFZb10pmeTqetz0q1z40bpmmu+Dz4/X6oqmolwzdjoSWwNhbnjTh+NqvJnY6wa4nf78eOHTvQ29tb8f1SVRXBYBDhcBihUIhJ8TaCHeOEkJqIFXe17oJSqeQquBpZvHw+H5aWlioek85ft45v0zStWYjOBdjt+bW4YLQDX+jx45b75vD1x+ZQKAEf/eUkvvnoLG6+shvDHcs2nIqiWLN/7Anjeou4dJm7zfkW7Aum2ywk54xG5zFLIEkq7SSoXCvAVO/3QPnYnFWk9XC75iIq5ZpK5WehULC6cup9Vpwd0aqqNnyd25lGK1UBWBW3UuEqc6rsN31yDiUw6Lxxsc+3chslIP9KpdK6nH+fz4f+/v6GLVEJIYS0H4qi1Cy+c+vqbaSrxznXWxC9Y3euEexdIU5d5NYhXo1z+kO48ZwC/mvPNP71F1M4JeHBYCKMxVQGt+8vd8dfvStizR8Xu2pxAWokOCtuRtU6oAJeFa85M4pXntmB7+ydxX8/toDJZAEf/9UsvvzwAm44PYJXnt2FQhX95/GUO3h6Q+WE5oPHygFSBcBpPcGaurGRrp1GjtG5P4VCAZoCFE3gyeMBYxkp5PFUFhbU60ixI4Wa9n3arAWWdhoNYMq9XbFYtD6rEvgVl6ZSqWQFtt3mf9o/4/V0ZaFQWJdChFgstiJwSQghZHMhttrVdIaM6nE2n9RbD91GG0phnrhdZjKZivVL1jpnIlS6oFOpFFAs4nVnx/CS3WF86ZHy3PEHxjN4YPwonjsSwBvOjWG0M2TFbaTZRWJqP3t6wdruK8+IYe9EGkeXlmN2EUPFy08tjy2qVaRmPx/Vzp1TqztdNO1ulk7smswwDBxaKG9rIKxaa381GolBNjOvO+RVcd1pMXzpoRl89dEFXDRYjjeJpbokxe37lE6na7oyCjLSx/55qucssBlQFKXh5LM4gYp2FF0m+tA+X9w+8lPOoT1WaX+dffvyPGmeWmtUVUVvby/i8TiT3psM3iUQQmoiXd0ej8eyA3cKJ+nIsQcf6yVeA4EAlpaWrAXOuXjZBYhY0NhnjAcCAZRKJctK3E2wVKsElYXU4/Hg9y/vxUt3B3Hz7RM4NJ/HkcUCfu/bY/jya4cQi4QsgePz+fDJu4/h8WNJ/J/n9qAzXO5McQZZ3Y6hliC17590LonAEPshACtEt1OkSeeM7EsjVuW1ENEic9UlKJZMJl2Fai3RKPZEyWSyItkuHe8ej6eu4LSfw60iRJoJItuFuFx3sYuUWY/2z48ULMj3NJPJQNf1dbFHVxTFqnLO5XLWDC35HHi9XnR0dCCRSGyZa0sIIVsVVVVRKBSszl+39V+CjnbdVw9N06wgops2k/VORsCIrpB9AZa7VGSGuJNqulJVVbzxvE7cc3AR+2dy+OdfTOMDLwsfH9tjoiuoYXdcsSwjNU2zbOMlOS9BolpFifXOg67r0EwT158WwYt3h3Hb/iV89bEFTCwV8Kn7Z/HVRxfw6rM68Ioz41ALleddOn0GIuX92D9d1hIhr2oFtNz2q5G570D5/Pt8Puu62m3cnefU6/VaFtc9IQ1ji0Wkj8feisUiPB4PisXiiiIK0Tb1ApJimy+fic0evAQav06CvQhYXiduXTK7VQp/pSjXnnhwulytJbquIxKJWPeo4g4hyXu/34+enh4Eg8F1eX9CCCEnD8Vi0frbn8vlXJN1dv3UiEuJrJn2cY92rWJv1JF4FrCsEwOB5SabYrFoOdLYifo0/O4FHXj5qWF8bs88fvJsEj87kMLPD6bw8tPj+PVzOhA0sxXveWwpj7lsWbP0hnW88ZwI3vbtMQCAoSv49XMSCOomEpGgpTXt4yHtiP6t1YjjTD5nMpkKLWyPyzpjj3YNkM1mcWCu/POu7pCl89xotMhRNKCs/dL843ZfEQgE8NKdBfz3I2Ur+kcmMjize9l10zAM6zzY45qSqK23P+l0uuK8bAVd2UhxiWD/vsl4RPnOSiOZvXFKil3tMfBazWarxefzIRKJWC622WzW+nxqmoZwOIyenp5NOyN+q8PEOCGkJpqmWcm1fD5viUOn6LQv/vUqx+ydPyKYqiXIgZUVl40gC6nbjGpZbGWfe0I6PnZdP37wdBr/etcEQh4VM5ki4tHlrqZMJoMfP1WeB/TUZApB3bQCRJKQrhbIlMIBZ2eQWwGBVLQ6O82die5qsxxVVYWmaZaYsM8Nl/PSqKCQ1w4NDSEajVrnLpfLIZlMYmlpyZoP73aN7NdUfi83LnIOZN/ssyLdsF/DrZA8baS4pB72z4sEomu5BayHPXpnZye6u7tdty3fF9pXEkLI1kGCCrJGVSu8lO7WRlxu7NrG7qTjFiBtxfVEgjfOrlhB0zTk0mn8yWUJ/NH3xnH/eAb//dAU7jlc3qertoegHi/KVFUVxWLRWgOlUyKbzVprdT1NJF3jomcBWIl1q+hMU/CS3WG8+JQYbn1qHl99dAFji3l86t5JfOnBKbzyrARessOHsFG5Bg+Ey9dnPlPeTm94ubDObcZ4M5pMivB27ty5YiZfMpnE3Nyc9VmQ97x2Vwifur/cdT+RLKA7WBmkdeph0aX1dJR9v7dCAFPmpK4G5z2JuB9IkbJhGNZ9XbMOAY2gqioGBwcRDoddO9BlTNN6jvshhBBycuHxeJBMJivWKGfhZTqdtuJ6jbinyDoiCfCKjm8HznhbI8jYIF3X0YsU3nlFJ244PYLPPjCL+8cz+Pqjs/j+E3O44bQIbjg9goCn7Or3tcfK3eJeDfjwdSPwGQo+8YpBfPiuSbzi1AhO6Ysgk8lYxYiSyHZ2egv2tdoZO3TTUaJRZWSiuH9KDNKuD+1rcb5oYmyhvN3RuGHtX6lUqkigN1PEJ937kUgEQ0NDFSMb5fMwMzODQCCAZDKJjoCOF24P4X/2LeGrjyzgopd1AMAKq3P7fst7SLNQtetsmqZVHNjoSMp2RuLNq0HOLbB8HyffZQCWy9Z6FVkC5c/40NCQ6xgvKWrRdX1LxJ+3MrxrIITURLo9BRGHIiqly0aSWyKoam3PLVginaQyI7xVpMs5lUpV2PzZ8Xq9ru9RPC5gssUSOsJBJJNJK9Dj9XqxPVGew/P0bOXinMlkUCwWV8wslBlDkhCXxR6obTskx2EXAXJuBLH9cSJ28pKsl25h2WazVXbxeNxKisv2DcNAR0eHFWSTqliZze71eq2AtJuIcLM0tJ8bN+RmZCtU6cmco7VEOtPssxWdwf21DiT29fWht7e36nY1TWNSnBBCthgyd0+Q7myZQygawe6eU4tqNuuiVQOBwKrWGtlfCZw59aMkcn0+H4ZjXrzpvDgA4JO/msJ9R8r79aKdERiGYXXbimaS19u3Jfsu2sqOjDeSLl45Rz6fD4VCwTUQp5hFXH9WF/7t5f34k8sTGIp6kMyb+M/7p/BbXz+CT98/i7lM0UooD0TK+5A/nis+tdtvaWHnfOlG5r47GRgYcJ3J193dbQUzRUfquo5Xnh6znvvJX82s0JVuSW1J1NZC9KzYgG9mVusiVQ37/Zzze7jWQWFd17Ft2zZEIhHXewsJ/DMpTgghWwt7rBKA1ZTh8XgsHeX1eq1RgY1YqDvjJKK7pEN6NYh2yuVyFe+zo8OLv7mqB//40mHsShjIFEz818Pz+J1vHMG3n1jA4+ML+J+nyono910ziLBWRD6fh6Io+D/PH8CunlCFnpF12DRNq8HJGUuT0TQyOkh+X6u4UJLizrF8zlioXS8eWcyjaAIBj4KEX7War+zW2UDzDTAejwcDAwMVr9N1HdFoFKFQyLLVljnorzkrDlUB7h1LY+/4gquGdNsH+TzVQuKgW2F8i7iJrjX2bWqa1pDdf6uEQiGMjo66JsUBWN8XJsU3P5v/G0sIWTX9/f146qmnVggHe7ePWA3VC5DVs1wRcVjLYrMabh026XQawWDQ6khxWr7Lcw7P5/DZPXMAgDdf1IOYX0c2W7S6g3Rdx44OL35+IImnZ1bOkZF9D4VCSCaTlgC1BxPt1FrYnedQ5vQ5xakzkCfBPftclUAggGKxaFVkVitMcMPr9aK3t7fq76UAQoS9fb/k50wmg2AwiEKhYCVmq11TXddXCEk5x5Lg93q9VpcKsGyLb0/41vp/+VmqUyWxLxiGAb/fX7H9Rv6bz+cxNze3JoFAn8+36gpMJ2KDJTaz8l2wf4bXSvQpioLBwcGKggpCCCEEKK9HfX19OHLkSMXjTlvKXC7XUEKvnqaxJ92z2WzDSVAJcLl1y9j1lqyvmqbB5/PhFaer+NXhNPYcLe/3Gd0GBmNGRYBQLL/t3TXVXITselMKH+UxOfZ663c6nYaqAC/YFsLzRoO4ZyyHLzw4g6dncvjvxxbwnScWcc2uEH7j/B50BjR41OXE+FldurXPYp/davdxIpFAOBx2/Z3Y2Mtx2lEVoGQCD0+UnZGke0P+ud17SAGC8zHZtj1ILB0+QOu6UqzDnQ5HEoxtVE/Kf5PJJBYXF1cdCHQGFtcC2ScJFEvnkN1+1DTNNXE/Asr3I7WCl4QQQrYu0WgUc3NzVveyYHe8FM1WretbqFZsKUiCXNf1us91IkWM9tcUi8WKWKWqqjg9AfzTtT2491gJ/37PMRxZyOPjv5qFoSkomsAlw0Gc21fWNzI6JpvNViQrPR7PCv0g7oFyboDlJHezjRnO43aLjabTaatT/eBc+f1GYss6QeKkxWKxKVdLO4ODg1WLX+UYi8WipUV6giouHw7gjgMpfPnhWbwrqlvxUolVVnMRctOVdt1XKpWgqqp1T1BLM9b7ncSSc7lcxf5omoZgMGhdR7v+r6UrS6USFhYW1kSTNWOh3iz2cY/OuKq4o66Fy1MsFltRUEG2LkyME0Lq4vF4XIOYgth+i+V6LUQo1AtM2uckOy12nIgwqLZA20WhLLBiU66qKu46nMG/3jWBoagXuqrimh2BFcK5UCjg1J4ggFk8PVtZ3SnHI93aUi0pQV17VaXYqtea5WNHbHvcRIxztrsEC+0BRTlGe2d/o8nboaGhml1W1a613CjYA7b1ChyGh4et18g/OSbpLLZ3PK8VpVIJMzMzmJqawuDg4IqK42bo6enB0tISZmdnWw5mtnpTUA/7DCk5h87vlNj4ryaAqqoqhoeHV3UeCSGEbG5isRjm5+dXBDEFccVpJIDjnH/ohtj1SYLcPrPODXlONe3l8/mg67plZS4BRdnvt1/eibd/bxwDEQ9evDtsJZLtiUO7zaWz+FFsGEWHhkKhiiJE6eqRTqFmtFE4FMIlA0lc3N+Le46k8cWH5/HUdA7fenwR33tyEVfvDCNqqJhKl8/PRcNhAOX/l4CwdMQ0053r8/nQ09NT9fe1rmEioGMyWcBSrmxVWc8O3+PxYGRkpEJTygxK0ZPrpStzuRwmJyeRTCaxY8eOlt0KEokECoUC5ufnMTs723LH93okxrPZrHUd7COlnMe6FsWifr8fIyMjW6IDixBCSPMoioL+/n7s27evqosM0FicxRlfq4a49DSSIJciuWrPsccFJXbo8/lwYW8Wz3lZH24/mMNn751AoQT0RTx44zlR1wJFcSUCVjpFSrxSxhxK17oUpdrjqbXmfzupZTEPLGv0g/Plfd3WUdlVLprY7/dbLj6Napauri4Eg8Gqv6+mK199RhR3HEjhjgMp/PaFCgKB+qM7Ozo60NHRsSJW6aYr1xLTNJFMJnHs2DH4/X709fW1rFu7urqQyWQwNzfXckNPI+OtWsEeL7cXsLoVXK42VtrV1YXu7m4mxYkF7zAIIQ0RCoWqJrTFmqiRxdVu7d1I144sjH5/2crRKXAaEbgi8OS5Ijhn00V87FeTuOtg+fXZQgl/e3UXYJasTnP7jJjt8bKQO7yQRyqbh6Gr1hxtWahlJooEjJzCQbpG3LrI7Uj3tHQHFQoF10SrLOhSveh2LkTwejyehmfe9PX1uVq12+nq6kI2m7Vs4RcXFwGsrLRtxBo/FAqdEPtDVVXR2dmJRCKxanGkKArC4TDC4TDy+TyOHj2K+fn5hl/fyLyrVhEXAbsdkGma8Pl8lkUssLo5m7quY3R0dFWjEAghhGx+FEVBNBqtmhhvpkjM2VVdC0mQy6gbp8uQdL82si1714Ld6SWdTqMzoOOzrx6GYlZ2QPt8PqsTRFVVK9hj1z/BYNCyExedbE+Ay7bkNaIr6xWdigV7Mpm0ztfFgwFcNODHA+MZfPHheTw2mcX3nly0XqMpgI6VukCCluKwU09XqqqKoaGhmjpPnASk8GB8fNw6v88bDeKrj5b11OziIuJVus7tx3qitIjX68XAwICViF8Nuq4jkUggkUhgaWkJY2NjTSW516vYEoA1LsleCGsfK5XNZlet68PhcN3PDSGEEOLxeBAMBq14lB1VVZvq7rYXLtZDEuQSZ3OL/YlNeTWkY1qKLVVVXW7mURVcd2oUVwx4MJ4sYVu03IksMU1gOQFsL7IU/aSqqhWjdLM/l/Vb3k+Oo5GGJ9HRUiznpk9ku4cXy/q0P+S+nst+S6d1vQaTQCCA7u7ums8Jh8NWB7fH48GxY8cAAKf1hnBenw8PjGdwz8EFdBj1m1kCgcAJ0ZUy1lQKAFarK30+H3p7e9HT04Pp6WkcO3as4WaeterWrobdmcp+f+T3+y1nhNXS19eHRCKx6u2QzQUT44SQhpCu8cOHD1c8bq/iahTpLmhmpp+IJcMwrACJzKVsBBGqstDedTiLj/xiAgvZEjQFeO2ZUbz2zCg82rLYyGaz1nzKVCqFrpAHMZ+GuUwRB+byOHc4blW32btXCoWCZaUjC7hUispx1JtNpGmatT2p6pQEv110Oq3BayF2UmKzVO35kUgEHR0dNbcFlDu+BHti3LndemJLigtOJGtdMejxeDA0NIRYLIaxsTHXGwsJKErH0npUXzpxFqbId9CZIG8GwzAQi8UQj8fZ0UMIIaQh4vE4FhcXsbCwUPF4K8k8u/VeI0jBoIyqEQ2QyWQasgiXokW7PrPvt1tHg4yCAcqaVArVJIEqFuXJZNLS1oFAoGIMSq0kvsfjqamrpUtIzpe8h8/nw3n9Cs7r9+PRyRy++PAcHhhLw6sp2Jkwqm4PQIWmrdWFPzAwsGL2pBNJAgvSee31enHTWSEUiiW8/twIfMcDtrWo914bwVrrylAohJ07d2JqagqTk5Ou2lpmhUrB7nolxQW5lxBdab8fDAQCLXeMh0IhxGIxRKNRdvQQQgipi6IoGBgYwJNPPlmhRURfNeu6ks1mG3K5FCTOJtpM9F2jujSXy1XYvUu8NJPJIJfLIez3wu+pXFNF14mek/nnsvZKUt5N+zl1s8QqxRmo3jxtOUemaVrOmbJP9m52cTe6qN+HoEfBOQO1CxvFpt7j8VQ9d7quY2hoqK4+CAQCVszVNE3Mzs5ao3N++/w4VEXBUNRjbbOWZjnRunKttZCiKOjs7EQkEsH4+LhrQQlQWSghI0bXk2KxWOE+JJ8BXddbbiJSVdWKVdZr/CJbE0awCSENE41Gsbi4WNEF2+rsO3tQsRlWuxjPpov4119MWF3i2+IevOPyLpzeFwFQFglS+Wm3PRIboG1xDx4YL+JwEth9fGFOp9PQNK1ChMuM9EwmY4lO++/riWzptDBN06pwtQdK7bNsgOXz6ZbctHcoSZeSdLiLCLc/t5V5K4ZhWPvnfG296r4TLTTXk3A4jF27duHIkSMVHWCFQmFDxKUbbt/ZZr+HIjBjsVjF7ExCCCGkUXp7e5FOpysCaK0m81qxi65nyV0NCRCJfaRhGBUBtWKxaI0Cso/uAZZnidu7l5xOQnZnF/vPkoD2+Xwruu0l+FgN0XoS4CoUCvB6vcjn81aR3lk9Ki4YHsEDB+fQFzUQ96nWsQoynsc0zQp9J9twXr/Ozk5Eo9Emzm6ZaDSKyclJAIBP1/HmC+oXbAqbVVeqqoru7m5Eo1E8++yzVvC9WCwin89XFDxuJG6fu2a/x1JkGYvFGgrIE0IIIXZ0XcfAwAAOHTpkPdaq9XIj88jdkAR5s8i4Q3uxpb372+fzWXEke1GkdETLPsvjzkSvbFf0pGxLijKdTRqNjL+U8yNaUhL60ijh8XishP2V24N42ZldrvEvj8cDj8djdbCLQ5JoTfvzFUXB0NBQ0zpBnKpEV47EvCt+X4vNqiu9Xi+Gh4cxNzeHI0eOWM4F4tTa6ud5NbiNIJL4fDOEQiHE43HLOYCQajAxTghpGEVRMDg4CE3TMDMz01R3zommVCohVdTwu19/Bou5cpf4TWdF8ZozozA8ZUG4tLRkVXlK9aPMeJRunQuHIvCoCjoCutW9nk6nLdEoVk3SRVGtYyObzULXdasyVF4r1kmSzM5kMlYyXJLOqVTKsto0DKNixrnMRRKhm81mqwZ9JZEu1XeapmFkZKSpeYimaWJhYQHHjh2zgtLO4KzbDCQ7m1VoCqqqYnBwEIcPH7Y6v04kq7EhosAkhBCyVni9Xmzfvh3PPvuspYtaDcAUi8UN06Wi9eS9CoVChXaS9VE6Uzwej6WRcrmclRR3jsGRmY/2xLhoStF/9ufbcXatA7CClcByN7HYsstcaHEcMgwDpVIJiqLg1C7DmqEu7y+FlZlMpmqgOBAIWDo6k8kgGo3WnCvuRrFYxNTUFKampqzzVS/p72Szj3QxDAPbtm3DwYMHXcdMbSTNdNQ5YZElIYSQtSQajUJVVRw8eLBi/EwrSCK51UagZiiVSlZ8T352vq+M/wkEAtY4nlKpZCW58/m81UBTKBQq4nz2QksZUalpGnK5XNWEoyTk7edQ4qKS/JZtyBhJSbBL0lz0ssQ87U0+EgvNZrOuOkZGS/r9fuTzeRQKBQwODtacK+5GNpvF0aNHra5ot+OtpaPEiWezoigK4vE4FEXB9PT0CY/vr0YLssiStAIT44SQplAUBX19fSiVSpZwawcURUHIY+KiwQAOzOfxvy/pwPZ4uVKwWCxaHTgi6ABUJMnF+v2mcxN4+W6/FTCUznIJMJqmCV3Xq87NtFMoFCqCuFJVaRfFgj1oCsD6vVRh2udbitir1z2VyWQseymv14vBwcGmBYRpmlhcXKx4L2fiV6zCq91UbPbEOLBcVHL48OETXlDSbLWlYRiIx+OIRqMUmIQQQtYUj8djJflWa/28UYk16bgulUpWt7hdB4lbkOhK6eixWzpKItqOJLelQFKSwvakeC3s2kKS4tIJZH+93d7TOc9P5laKs00zekXsN4vFImKxGPr7+5u+Jvl8HgsLCyts4+1By3qJ4K2gK6XL59ChQ9b9yIlAAtvNwCJLQggh60U4HMbw8DAmJyfXRFduRGLcXkDpNlLIPl5HChVLpZKlK+Vn0QOlUsnqlpcxilLQKdupp6WkKFOQ/ZJYll13yL77fL6KphhxZrIfk/y3XqxSEvzS9NPf39+SA1EqlaqIzeZyuYqEf7X56MJmL7YUYrEYFEXB1NTUCU+ONwOLLMlqYWKcENI0kgiem5tb1XYymUzdeS5rhVhevv25/eU54qWiVSkp3Q5O0ebW2avrOoLBIEzTtASlM9G5tLTU8IxMWbjt20gmk6428zIH07nd1VgnynGMjo62JPqkGzoUCmFsbAylUsk613L+pHNeutudAeStIjYlOX7kyBHLZv9E0MhnRVVVRKNRaxYPBSYhhJD1Qtf1NUmQbZSNtHRQS+Lb6/Va+szuGiSWl6Jz3eaOi66UBLp0BAnSmVMvcCf7Ze8ElwCpdLs4E/Eyt9ypR1ajT/L5PEKhEPr7+1u6pj6fDzt27MDRo0cxMzMDYKUel2CtuCtls1nr2m/2zh47Xq8XQ0NDOHz4sOV0tdE0eq49Hg/i8Tji8TiLLAkhhKwrtWZUN0Orc42bJZ/PW93VMuJGURRrbrm4DmqaVnFczn3z+/1WzNDuaOl8jd/vRyaTqZv0F/1lPw+SXHe+t8RVRYPaWc05TKfT6OvrQ0dH4yN17MTjcQQCARw6dMjSt3btIo1OmqZZGt5+vrZCsaUghQfT09Mb8rl3o9FClGAwiHg8jkgksmV0P1kfmBgnhLREIBBoaUa4E4/Hs+6JcRFulh1jNm9VHjrnldirIN2QhbqeUJCumXqVmFL96VYVag9iyjxwCXC2MkvTDY/Hg9HR0VULvlgshkAggKmpKWSz2YqOdzm/9sCmpmlWt5TX612xvc2KoigYGBjAkSNHLMurash3Yy2rlBv5THZ1daGzs7MpS31CCCFkNYRCoYrRNK0gI2fWu7vH3mFtnwcJuHfAVCsCFSvJQqFQc8yKaL9GUFXVsrYU8vn8Cs0uRW/VdGirRCIRDA4OripIpaoq+vv7EQ6HMTc3h2KxWNHtI+fS2SEvBQRbCXF8Ghsbq+tW1UhxRbPUK5zUNM0qoGWRJSGEkI3A4/EgHA5jYWFhVdtZzQi6RnGOHfR4PJaOLZVKlj4slUorHCedyDjFTCZTc9+rJbedSFe68/2cMVOJW8q/tdQbAwMDiMfjq9qGYRjYvn07pqensbi4WHGvIefJHhe2F19upcQ4sJwcVxSlpkOsfQzoWlLvPjAYDKK/v3/LXReyfjAxTghpiUAggB07dmDfvn2rmpm8EdZEdmR+pdgJuSX20+m0q+CsJh6rBXoaSUJKct6JaZrWPvj9fuu59sdkTk+r59Dr9WJ0dHTNgoherxf9/f0AysHphYUFzM7Ouopi6XIPh8NbLgFrT467uS4Eg0F0dnYiFAohlUrh4MGDNQViIBCw5jrVu/mr95ns6elBV1dXw8dCCCGErAWy7u3bt6/lbWyU5aW8h8zSlvd2Q5LfzlnMMsrGTVe6dXdLB1EjY3LcgqGZTMbqhJFkvHQoSWK/EWvNWkSjUQwODq5ZAjQcDiMcDsM0TSSTSSwsLGBubs71+GROeigUWpP3bidEfx85cmRFEFNmR3Z0dMAwDExMTGBycrLqtjRNg9/vt7rt6hVA1wuIbt++ncFLQgghG4qmaRgeHsaxY8dqrnn12IhOVFVVLX0osT5d12EYhqvmqxarlOc7X1NNFzeauBaXJCey/ksCWRyPTNO0rNzFPalVhoaGWrJPd0NVVXR1daGrqwvFYhGLi4uYm5tzLSqUrvFEImEVvm4lotGo5fLpvC/weDxIJBKIx+MwTbPuKCzDMCzn0Pn5+ZoFG/UawPx+P0ZHR1loSdYUJsYJIS0jQb3VJMY3yvZPVVXLAkgS4rquV8wHl7k7IoTEMl3sxoHywu60IxKh6LQKb+S81KrUTKfTljWn087a/v6tzKw2DAOjo6PrZmdoGAa6urqQSCQwPj7uKoLC4TB6e3vX5f1PdhRFQVdXF/L5fEUQs7+/v8ImKhgMYvv27Thw4ECFSNQ0DR0dHejo6Ki4hplMBseOHcPi4qLr+9YLeK/VjQchhBDSLKvVJFL8uN7Y3W5yuRwCgQCSyWTF/MVisQhVVZHJZKyOb7HGlLEzYiFfKpUq1njRqRKME52o63rNgJHYiFfTn2LBWSgUYBhGhd2lvIeqqjAMo2ldGY/HW5op3giKoiAUCiEUCiGRSODw4cMrLEBVVUUikdiSiXGg/JkJh8PI5/PWZ8Tj8WBkZKRiZFFPTw+8Xi/GxsYqzp9hGOjs7EQ0GrUSAaZpYn5+HhMTE66fu3qFGmLpSgghhJwI2mF0h+imQCBQUWy5tLRkxSkVRbHcBPP5fEWsEliOqUqs0h5flHVaURSr4SaVSllasFbMUpLbbuTzeUv3er1eeDwe61js3de6rjc97kVRFAwNDSESiTT8mmbQNM2aSz03N4ejR4+uKPTzeDzo7e3dsknYjo4OLC0tVdxXublCjY6O4siRI5ifn694fSQSsQoL5Bz29vZicnIS09PTrsUW9Zp4otHolr0eZP1gYpwQsipWKzY3IjEuC7cIRBE90sWjKIol3lRVhd/vRz6fRyqVqliwZSa5M8gjXTgy+0cCncViscK6UuwtNU2DqqrI5XIVwU67YPT5fNYMRaCcCJdOH6dgkKrSRm1sfD4fRkdHoevrvwSoqoqBgQEMDAxYsy5l5mY73KisJ4ZhIBAIWJbqQ0NDrgFdsX6SYg7pPHMThT6fDyMjI0ilUjh27FhF0r3ejY/P59tyFqSEEEJOHlRVXVXX90bNmPN6va5FjaLh7Ilur9drHZcz2SxFmU4URakonJQCSCmYtHesyz97tw6wchyLdIT7fD4UCoWKxLv9dWKD2QyJRGLDgoeGYWDHjh1W4aroSgkGb2USiQQWFxeRz5dHRg0PD7tq/Xg8Dr/fj1KpBE3TrPsW5/VTFAWxWAzRaBSzs7OYmJiouNeoV6gRDofX7uAIIYSQJmmHeJPMFrfrSrFXl7XZ7jLp9/st7ePm6mIvhgPKuk4ek/eQGKVTN0mcSR4X3So6U/ZBmo5M06zQq+I6Y9e7hUKhqZE9iqJgZGRkwwodJUEusdhisQjTNK1Z7VsVRVHQ3d2NYrGIVCqFrq4udHd3rzgnqqpicHAQ8XjcuicRXelE0zT09vYikUhgcnISs7OzFfd89VwMqCvJesDEOCFkVYjdc6szZKSLez1x2kqWSiUrkaxp2orfZTIZaJrmGpg1DGPF/tpn6gCoqL6U4GY6nbae41YFZxfD0vEjneoiQCXQJaJU9s/+WD0CgQBGRkZOiH25VLq2ww3KRtHV1QVN0xAOh2t21ei63tTNQSAQwOjoKJLJJI4dO4Z0Ol33mlNoEkIIOZFIIq6e1V41crlcU4WCreCmAyUhLvO6nftkGEZVS2oJwjmxv4d9FqQENzOZTNXXSmBKgqqiuzweT8V28/k8PB4P/H5/Rce4W2CzGtUCZeuNoihQFIUFfTZkVM/CwgI6OjpqFgo4A+f1ttvR0YFYLIaZmRlMTk5WDcjboa4khBByIpFGhFbjjRvVxONcT+2JaYkNSry1mpU6gIqmHDvO4sxsNmu5ZXq9XktP2ju97WiaZr2/pmlWw464WzqxO8rYNWg9VydVVTEyMoJgMFjzeeuBuKFuRPNQu+D3+9HZ2QnTNGs6S4qzU6N4PB709/ejs7MTExMTmJubq/rZFbxeL12IyLrAbzwhZFVIhd2hQ4dW2KfUwufzobOz06o0lLmGpmkiGAxiYmKiqh10M1TrkhWx6fydBNncFmVN01YIPxFOTgEpwVGZAV6r+8kpviRQaRev0ulj7+qRalF5ns/nqzlzPBwOY2hoaMt31JxMqKqKzs7Oddm2CNRgMIjFxUVMTEzUfD4DmIQQQk40AwMD6Ovrw969e5vqHI9Go4jFYvB6vZbVZD6fh2EYKJVKVe2gm8WtyMweOHXqxFp2027B2mrBTrGq1DRtxRzpWvso3esy6gco604JiEqhpTgipdNpa5/qBZOd41/Iicfr9a6brhTNGo/HMTMzU1NXejyeppLvhBBCyFrj9Xqxfft2LCws4ODBgw2/TtM0azyLqqqWpszn84hGo5ibm6tqB90stbSpaZorft9sot9NV8occAAVSXc3FEWBqqpWM1CxWESpVKqIo4pFu93ZSDquM5kM8vm8lVCv9l66rmN0dJTa4SRjvezsgfL3c3BwEJ2dnZienq6ZGGeskqwXTIwTQtaEQCDQUGLcMAx0d3cjEolUdJeImBLEDnpsbKxuR0ItpEIxl8utsEV3w94140TmLkoHerWkuJDJZCxbdulsAZa7XEToSmVmLZErneYiKCVJ7nw/CQg7O606OjrQ19e3pe2AtiqKoiASiSAUCmFychJTU1MrbuL8fv+K7yAhhBByIpCxNo0E/iKRCLq7uysCaW4dBWIHffTo0Za60e04u16qdanLWJ1qgVPTNCs6JOp1acv2nPaOoislUJnL5azEpMzithdFii2iuCbJ+zrPdyqVctWm6z37kZzcaJqGrq4uRCIRjI+PY2lpacVzOjo6eM9BCCHkpKDROIcUgCUSiYoiQ2eytre3F52dnTh69Cjm5uZa3i8Zt9PoDO56bpviEiQatZauLBQKCIVCyOVy1n7YtyPPyeVy1vgdiYO66WjpbpdEujOGKwl1t8YlwzAwMjJCF6Atis/nw8DAAMLhMMbHx12dBViIS9YLJsYJIWtCvaS4YRjo6upCNBptOFASCASwfft2TE1NIZlMrpj53QipVMoSbmKNk8/nGxKeUhUpSJWoHA+wsuPcTqlUsrp6pLu7mn2Q3++vqJ5MpVIVolHEabFYrBk0lWCoqqpWkLa7uxtdXV0MUG1xVFVFT08PotEoxsbGrJsqwzAwMDDAzwchhJCTglwuV9fGOxKJoKurq+Fgp9hBB4NBTE1NIZVK1dRwbjgDkhJIrFbAWSqVLItK2Qe7jpVjlEKAep3g8j6KotQtHLDPiATK51SS3GJ/KftV61w7k+OapmFkZGSFZTzZekgge35+HkePHrXuO2KxGBKJxAneO0IIIaTMwsJCzd9rmoZ4PI7Ozs6GrbR1Xcfg4CDC4TDm5+eRSqWaHuWjaVqFFvR6vSiVSlX1nT2G6dSUwLJrkcfjgWEYroVrduT3ktCupgfFMl06viWmKUl42Y96VummaSKbzVYUhZ7IUY/k5CISiVjusdPT0wDK34u+vj7aqJN1g4lxQsiaYA/QdXR0IJ/PI5VKIRwOo6Ojw5qD3SyqqqK7uxtAWUhlMhmkUimrs6WW7Y+zg6fazBxgeVZOoVBAMBiEaZo15/dks1nrmBpJ1ss2ZN648zWmaaJQKFTsswhLVVWbCt7m83nLJrOrqwvxeLzh15LNj8/nw7Zt21AqlVAoFKxCCkIIIeRkwOPxWIWMuq4jFoshmUwin8+jo6MD8XjccgRqFikGA5aLDVOplKUtaxVOOtfKWhpUuotUVbWCrNK97UQKKRud622aJlKplKX1nAFUSdZXCyLVm+PnJJVKwe/3o1gsYnh4mDaXxEJRFMRiMUSjUcuxisFLQgghJxP2IspgMAjDMLCwsACv14t4PI5oNNpyPCQajSIajVrjIe26spruE+yas1Qq1dRmgUAAxWIRoVDIsjRXVdVVN0qyupG53vL8fD4Pn89njeCx4/P5kE6noet6xe/knDUb5xVnTY/Hg8HBQcaiiIWmaejr60NPTw8KhQIURWn5no+QRmBinBCyJkjgUuaGA7A6UtYK6ZCxC9tCoYDFxUXMz8+vqIhsxirTWa0pojSTyVS1yBRx6JwHXotUKrXCItT+fnZRKMGlaoK3FsViEX19fYhGo029jmwNFEWBpmmszCWEEHLSYZomAoEAPB4Purq6rLVqrXWlpmkIhUIIhULW9rPZLBYWFjA/P990R7ng9XqRzWYr9lcCo24WkkI6nYbP56tZyGlHnuf1eqEoirVdmRWezWYrur2LxWLDQVInxWIRo6OjtLkkrjBwSQgh5GSlVCohGo0iFAohFotBUZQ1HzOoKAq8Xi+8Xq8Vg5Pu7/n5eSwsLKwovmzGSdMeO7THBquNYxQd2cxMcnsXdzabtfZXNGw6na6YE65pWsNFnU4Mw0B/fz+T4sQVcVAgZL1hYpwQsiZ0dXWteGwjrJl1XUc8Hkc8HkehUMD8/Dzm5uaQTqetwGCj28nlctB1vaJSUzq5qyEByWYQgSwdUdIJD5S7j+zislgsNm3JpCgKhoeHEQ6Hm3odIYQQQsiJRlVVDA0NrXh8vXWloijw+Xzw+Xzo6upCJpOxdGWhUGh4nI9oQ3EXsgck6wUApdO7Ge0nAUoZ22Pfz1QqZXWIi31ls4lxwzCwbdu2hu1FCSGEEEJOFuxFkMJGxCpVVbXeu6+vD0tLS1aSXFGUhvVYqVSyxjw6m3/qadNWijxTqRQURbES5BKrNE2zYl9EYzZLR0fHmhcmEEJIK7A0hxCyadB1HYlEAtu3b0cikahpcWkYBrxer9V9LjMUC4XCCnFXrwOikXnlbojVElApzNPpNAKBgDVjqJntK4qCkZERJsUJIYQQQlpEXIp6e3uxc+dORCKRmsWWgUDAcvkplUrIZrMrLCeB+vMXdV1vuVM9nU4jn8+7Wr7ruo5AINCUhTqwPH6FSXFCCCGEkNZQVRWRSARDQ0PWWJpaDpeGYSAQCAAoF01KM06zjn+tjjeRsT3SCS/YnYoMw2haVyYSCSbFCSEnDUyME0I2HYqioLe3F8FgsOpzNE1DLpdDLpeDqqoVduiKoiAYDCIQCCAQCFgzHN3weDwtBzCFTCZjdY8LqVTKmtXXKKqqYnR0dEU1LCGEEEIIaQ1d19HX11czOZzP55HNZq0ApBRbapoGj8eDQCAAv99vJairsRa2gVLsKZRKJSvA2Qx+v59JcUIIIYSQNSQcDiORSFT9vcQYU6mU1cgjneFSuCm6slQq1dSVrYzPsVMoFJDP5yvGWWYyGaiq2nQctKurC729vUyKE0JOGniXSwjZlCiKgsHBQSwsLAAoC8nZ2dmKOYvyX7EzN00TPp/P6ti2BxADgYBrB3qrsxqd5HI5aJpWMbOnlaR4LVFMCCGEEEKax+PxYNu2bVYRZT6fx/T0tJX8Fi1oH+Wj67pV5OgczSP25k5quR01g9hbyqzzZt2NAoEARkZGmu5MIoQQQgghtYlGo9A0zdKGyWQSs7OzACpjjNItLuN5ksmkFbMUqo3pMQxj1U08QDmW6oyRNqsru7u70d3dvep9IYSQtYSJcULIpkVVVcRiMevnWCyGo0ePYnp6ukI8FgoFBAIBaJpmBSmLxaJVgSnVmpK4lnlA0h20VhSLRZRKparB0lps27atooqTEEIIIYSsHYZhVFhSJhIJ7Nu3D7lcDoqiWN082WzWKqgsFovweDxWR48EFCXQKcWZ2Wx2TVyI7IgjUbNjeXw+H0ZHR+vOQyeEEEIIIa1hd3qMxWKIx+N4+umnK+aGm6ZpdYlLMlwcLz0eD1KpFEqlkmVtrqoqisUistnsmhc3Sgd7rdFCbnR2djIpTgg5KWFinBCyZVAUBbFYDNPT0xX2PV6v1xKP8jxd15FMJq1Z37quI5VKVYjAtarAtGOaZtOByEgkwqQ4IYQQQsgGIvMip6amrG4eoGxBns1mK5LRiqIgnU7D7/dbAc9MJlPRIb4e3dn5fB4+n6+pxHhXVxeT4oQQQgghG4jf719RJKkoCjRNq3CzlEYdSYbLmEh7c42iKBVORWtFs/FPVVXR1dW15vtBCCFrARPjhJAthcfjsf5f0zQYhrFi5qKu61YCXH4nVudijynW6ycSwzAQCARqzicihBBCCCHrg8wEL5VKMAzDspu0Ix09AFYUWCqK0rRLULM0OponGAzC7/cjEoms6/4QQgghhJBKFEWxRiuK01Amk1mRFJdiR+f4Hb/fb80EX694paqqDelKTdMQDAYty3hCCDkZYWKcELKl0DQN8Xgc+XwepVJpRVJcnuMm9orFIlKpFFRVtWzWTwSGYaCnpwfhcLii850QQgghhGwc4XAYPp/P6givht1qXZCuG6/XC03T1q3gst52I5EIenp6KmziCSGEEELIxpJIJDA1NQUAVWOV1XSd6FC/32+NaVxr6jkKqaqKzs5OJBIJJsQJISc9TIwTQrYUiqKgv78fR44cqSooZSajqqooFAornicJ9fUSetX2S9d19PT0IBaLMSFOCCGEEHKC8Xg8GBkZwdNPP131OTKTMZvNugYppeMnEAisyz7quo58Pr/i8WAwiJ6ennV7X0IIIYQQ0jiRSASmaeLQoUOuvy8UCigUCvD7/chkMq6xQ0mQG4ax5nbqhULBtdhTURR0dHSgq6sLus5UEyGkPeBfK0LIlkNRFAwMDCCXy7lWYQKwAogej8c1OQ6UO8j9fn/NDqFWSKfT8Hg81j7IXJ5EIsGZj4QQQgghJxEejwejo6PYv39/1e4c0YqBQKCq9lwvS3XnfHGfz4eenh6EQiEWWhJCCCGEnEREo1Hk83kcPXq06nPsye9qc7/XI3YoFu92LRuNRtHT02ONFyKEkHaBGRZCyJZEURQMDg4iFArVfF4+n4ff76/6e2ewca2QKstQKITdu3ejq6uLSXFCCCGEkJMQr9eLkZGRulotlUrB5/O5/m69nIhyuZylZbu7u7Fjxw6O4yGEEEIIOUmJx+Po6emp+7xCoVBVe66XzstkMlAUBbquY3R0FENDQ0yKE0LaEmZZCCFbFq/Xi4GBgbrPS6VSrjaTfr/fsr9cazKZDHp7ezEyMkIrIkIIIYSQkxhFUSxr8nrkcjlXbbeeek9RFGzbtg3d3d1MiBNCCCGEnMRomobOzs66426KxaJrUlrTtDV3thRKpRJisRh27txZt9GIEEJOZpgYJ4RsaTweDyKRSN3npVKpCsGpquq6JcU1TcPIyAg6OzsZvCSEEEIIaRNisVjdrvFSqbTiOT6fb90CmIFAAENDQwgGg+uyfUIIIYQQsrYoioJEIlH3eZlMZkUC3ev1uo6DXAs6OzvR39/PBh5CSNvDxDghZMvT0dHR0PPy+bwlOH0+37rYqBuGgR07drDykhBCCCGkzdA0DdFotO7zcrkcPB6PZau+XqN54vE4RkdH4fF41mX7hBBCCCFkfYhEIg2N2kmlUvD7/dB1HYZhrEuxpaIoGBoaQm9vLxt4CCGbApb3EEK2PI0GC03TRCqVgsfjQSqVWvP98Pl82LZt27rNmCSEEEIIIetLo7oyn88jn8/D4/Egn8+v+X50dnaip6eHwUtCCCGEkDZEURR4PJ6GCijT6fS6aT4ZyVPP2p0QQtoJdowTQrY8uq5bHTuNsB7BS13XMTw8zKQ4IYQQQkgb4/f769qp21kPXRkOh5kUJ4QQQghpc5oZhWOaJgqFwprvw8DAAJPihJBNBxPjhJAtj6Zp2LFjB/r7+09IYlpRFAwPD1fMMCeEEEIIIe1HOBzG7t27Gx7Vs9b4fD4MDg4yKU4IIYQQ0ub09fVh+/bt8Pv9J+T9Ozs7EYvFTsh7E0LIekIrdUIIQTk53dHRgWg0iunpaaTTaSwuLm7Ie3d3d7P6khBCCCFkk6DrOvr7+9HR0YGZmRmkUilkMpl1f1+Z/0gHIkIIIYSQzUEgEMD27dsxPz+PxcVFLC0tNWSvvlr8fj96enrW/X0IIeREwMQ4IYTY0DQN3d3dME0Tk5OTmJiYWNf3MwwDiURiXd+DEEIIIYRsPD6fD/39/cjlchgbG8PS0tK6vl8ikYBhGOv6HoQQQgghZGNRFAWxWAyxWAxLS0s4dOjQuifH+/v76UBECNm00EqdEEJcUBQFXV1d6O7uXtf36evra2oOJSGEEEIIaS+8Xi8GBwebmhPZLLquo6ura922TwghhBBCTjyhUAhDQ0PQ9fXrd4zH4yfMvp0QQjYCZmMIIaQKiqKgu7sbAwMD67L9SCSCUCi0LtsmhBBCCCEnD7quY3R0FOFweF2239fXRwt1QgghhJAtQCgUws6dO9el0UbTNFqoE0I2PUyME0JIHXw+35pvU1EU9Pb2rvl2CSGEEELIyYmiKOuiK4PBICKRyJpvlxBCCCGEnJzour4uXeM9PT3r2o1OCCEnA0yME0JIHfx+P4aHh9d0tk53dze8Xu+abY8QQgghhJz8dHd3Ix6Pr+k2+/r6OAOSEEIIIWSLsW3bNhiGsWbb8/l8a65TCSHkZISJcUIIaYBIJILR0dE1sSnSNA2JRGIN9ooQQgghhLQTiqKgv79/zeaBx+PxdelCJ4QQQgghJzcejwfbtm1bs3ngPT09LLYkhGwJmBgnhJAGCQaD2LZt26rnN0YikXWZA0QIIYQQQk5+FEVBT0/PmozVoYU6IYQQQsjWRdd1jI6OIhgMrmo7mqYhFAqt0V4RQsjJDTMzhBDSBH6/H9u3b19VZw4DmIQQQgghpLOzEwMDAy0XXaqquuogKCGEEEIIaW80TcPIyAhisVjLHd/hcJjd4oSQLQMT44QQ0iSGYWDHjh0tzQhnAJMQQgghhAjxeByjo6MtvZYuRIQQQgghBCjHGwcHB1se3cgmHkLIVoJ30YQQ0gKKoqC7u7vh5/t8Pqiqing8zgAmIYQQQgix8Pv9TQUjA4EAAKCjo2O9dokQQgghhLQhnZ2dDbsRKYoCv98Pj8eDcDi8zntGCCEnD8zOEEJIi8RisYYCkoqiYHh4GENDQy1XbhJCCCGEkM3L0NBQQ0HMQCCAbdu2ob+/H36/fwP2jBBCCCGEtAu6rmNoaKih5/b29mJkZAS9vb20USeEbCmYGCeEkFUQjUbrPicWi8Hr9SIcDrdkv04IIYQQQjY/sVis7nO6u7uhKAo6OjoYwCSEEEIIISvw+XwwDKPmc3RdRzweh67rDcU2CSFkM9FUYvzmm2+GoigV/3p7eyt+f+qppyIYDCIej+OFL3wh7r777prbfP7zn79im4qi4KUvfWnF8z760Y9i27Zt8Pl8OP/883HHHXc0s+uEELIuBAIBDA4OWpaWbnR1dW3gHhFCSHtAXUkIIcsoioKuri709vZW7Rz3+/0IBoMbvGeEEHJyQ01JCCGV6LqOwcHBmi6XnZ2dHPVICNmyNP3X74wzzsD4+Lj17+GHH7Z+t3v3bnzkIx/Bww8/jDvvvBOjo6O4+uqrMTk5WXV7X/va1yq298gjj0DTNLzmNa+xnvOlL30Jf/zHf4w///M/xwMPPIBf+7Vfw4tf/GIcPHiw2d0nhJA1RVEUxGIx9Pf3u1ZjSrc4IYSQlVBXEkLIMrquo7OzE93d3a7J8a6uLnaJE0KIC9SUhBBSid/vR19fHyKRyIrfaZqGeDx+AvaKEEJODhTTNM1Gn3zzzTfjG9/4Bvbs2dPQ8xcWFhCNRnHbbbfhqquuaug1H/7wh/FXf/VXGB8ft6rhL774Ypx33nn42Mc+Zj3vtNNOwyte8Qq8//3vr7qtbDaLbDZbsT9DQ0OYn593XRQIIWQ1FItFPPPMM8hkMgDKSfOdO3fWtS8ihJB2QzTeajRVO+lKakpCyEaTSqXwzDPPQG7X/X4/tm/fzsQ4IWRTsdU0JUBdSQjZeI4ePYqpqSnr556eHrpbEkI2Hc3oyqY7xp966in09/dj27ZtuOmmm/D000+7Pi+Xy+ETn/gEotEozjnnnIa3f8stt+Cmm26yhGYul8N9992Hq6++uuJ5V199Ne66666a23r/+9+PaDRq/RsaGmp4PwghpFk0TcPw8LD1c29vL5PihBBSg3bRldSUhJCNJhAIoKenBwCgqioGBweZFCeEkCq0i6YEqCsJIRtPT0+PNQIyEAigs7PzBO8RIYScWJpKjF988cX4j//4D/zgBz/AJz/5SRw9ehSXXXYZpqenred85zvfQSgUgs/nw4c+9CHceuutDf+xveeee/DII4/gzW9+s/XY1NQUisWiFRQQenp6cPTo0Zrbe/e73435+Xnr36FDh5o4WkIIaR6xwIxGozVn+RBCyFannXQlNSUh5EQQDocRCoXQ19fHYktCCKlCO2lKgLqSELLxKIqCRCIBv9+PoaEhFlsSQrY8ejNPfvGLX2z9/1lnnYVLL70UO3bswGc/+1m84x3vAAC84AUvwJ49ezA1NYVPfvKTeO1rX4u7774b3d3ddbd/yy234Mwzz8RFF1204nfOP9imadb9I24YBgMIhJANRVVV9Pb2nujdIISQk5520pXUlISQE4FhGBgdHT3Ru0EIISc17aQpAepKQsiJQVwqCCGEtGClbicYDOKss87CU089VfHYzp07cckll+CWW26Bruu45ZZb6m4rlUrhi1/8YkUFJgB0dnZC07QVFZcTExMrKjMJIYQQQkh7Ql1JCCGEEEJWCzUlIYQQQgipxaoS49lsFnv37kVfX1/V55imiWw2W3dbX/7yl5HNZvH617++4nGv14vzzz8ft956a8Xjt956Ky677LLWdpwQQgghhJxUUFcSQgghhJDVQk1JCCGEEEJq0ZSV+jvf+U5cd911GB4exsTEBP7u7/4OCwsLeOMb34hkMon3ve99ePnLX46+vj5MT0/jox/9KA4fPozXvOY11jb+1//6XxgYGMD73//+im3fcssteMUrXoFEIrHifd/xjnfgDW94Ay644AJceuml+MQnPoGDBw/irW99a4uHTQghhBBCTiTUlYQQQgghZLVQUxJCCCGEkGZoKjF++PBhvO51r8PU1BS6urpwySWX4Je//CVGRkaQyWTw+OOP47Of/SympqaQSCRw4YUX4o477sAZZ5xhbePgwYNQ1cpG9SeffBJ33nknfvjDH7q+74033ojp6Wn8zd/8DcbHx3HmmWfie9/7HkZGRlo4ZEIIIYQQcqKhriSEEEIIIauFmpIQQgghhDSDYpqmeaJ3YqNYWFhANBrF/Pw8IpHIid4dQgghhJC2ZKtrqq1+/IQQQgghawE1Fc8BIYQQQsha0IymWtWMcUIIIYQQQgghhBBCCCGEEEIIIeRkh4lxQgghhBBCCCGEEEIIIYQQQgghmxomxgkhhBBCCCGEEEIIIYQQQgghhGxqmBgnhBBCCCGEEEIIIYQQQgghhBCyqWFinBBCCCGEEEIIIYQQQgghhBBCyKaGiXFCCCGEEEIIIYQQQgghhBBCCCGbGibGCSGEEEIIIYQQQgghhBBCCCGEbGqYGCeEEEIIIYQQQgghhBBCCCGEELKpYWKcEEIIIYQQQgghhBBCCCGEEELIpoaJcUIIIYQQQgghhBBCCCGEEEIIIZsaJsYJIYQQQgghhBBCCCGEEEIIIYRsapgYJ4QQQgghhBBCCCGEEEIIIYQQsqlhYpwQQgghhBBCCCGEEEIIIYQQQsimholxQgghhBBCCCGEEEIIIYQQQgghmxomxgkhhBBCCCGEEEIIIYQQQgghhGxq9BO9AxuJaZoAgIWFhRO8J4QQQggh7YtoKdFWWw1qSkIIIYSQ1bPVNSVAXUkIIYQQshY0oyu3VGJ8cXERADA0NHSC94QQQgghpP1ZXFxENBo90bux4VBTEkIIIYSsHVtVUwLUlYQQQggha0kjulIxt1BZZqlU/PGChgABAABJREFUwtjYGMLhMBRFWdf3WlhYwNDQEA4dOoRIJLKu70VWB69Ve8Dr1B7wOrUPvFbtwcl6nUzTxOLiIvr7+6GqW28yz0ZqSuDk/RyQSnid2gdeq/aA16l94LVqD07G67TVNSXAWCVxh9eqPeB1ah94rdoDXqf24WS8Vs3oyi3VMa6qKgYHBzf0PSORyEnzwSC14bVqD3id2gNep/aB16o9OBmv01bt6gFOjKYETs7PAVkJr1P7wGvVHvA6tQ+8Vu3ByXadtrKmBBirJLXhtWoPeJ3aB16r9oDXqX042a5Vo7pya5ZjEkIIIYQQQgghhBBCCCGEEEII2TIwMU4IIYQQQgghhBBCCCGEEEIIIWRTw8T4OmEYBt773vfCMIwTvSukDrxW7QGvU3vA69Q+8Fq1B7xOBODnoF3gdWofeK3aA16n9oHXqj3gdSL8DLQPvFbtAa9T+8Br1R7wOrUP7X6tFNM0zRO9E4QQQgghhBBCCCGEEEIIIYQQQsh6wY5xQgghhBBCCCGEEEIIIYQQQgghmxomxgkhhBBCCCGEEEIIIYQQQgghhGxqmBgnhBBCCCGEEEIIIYQQQgghhBCyqWFinBBCCCGEEEIIIYQQQgghhBBCyKaGiXFCCCGEEEIIIYQQQgghhBBCCCGbGibG15D3ve99uOyyyxAIBBCLxRp6zdLSEv7gD/4Ag4OD8Pv9OO200/Cxj31sfXd0i9PKdVIUxfXfBz7wgfXd2S1OK9cKAPbu3YuXv/zliEajCIfDuOSSS3Dw4MH129EtTivX6U1vetOK79Mll1yyvju6xWn1+yS85S1vgaIo+PCHP7zm+0YqaeVa3XzzzTj11FMRDAYRj8fxwhe+EHfffff67ihZN6gp2wfqyvaAmrJ9oK5sD6gr2wfqSkJd2T5QV7YH1JXtATVl+0Bd2R5sNk3JxPgaksvl8JrXvAa/93u/1/Br3v72t+N//ud/8LnPfQ579+7F29/+dvzhH/4hvvnNb67jnm5tWrlO4+PjFf8+9alPQVEUvOpVr1rHPSWtXKv9+/fjiiuuwKmnnoqf/OQnePDBB/GXf/mX8Pl867inW5tWrhMAXHvttRXfq+9973vrtIcEaP06AcA3vvEN3H333ejv71+HPSNOWrlWu3fvxkc+8hE8/PDDuPPOOzE6Ooqrr74ak5OT67inZL2gpmwfqCvbA2rK9oG6sj2grmwfqCsJdWX7QF3ZHlBXtgfUlO0DdWV7sOk0pUnWnE9/+tNmNBpt6LlnnHGG+Td/8zcVj5133nnmX/zFX6zDnhE7zVwnJ9dff7155ZVXru0Okao0c61uvPFG8/Wvf/367hBxpZnr9MY3vtG8/vrr13V/iDvN/u07fPiwOTAwYD7yyCPmyMiI+aEPfWjd9o1Uspp1an5+3gRg3nbbbWu7U2RDoaZsH6gr2wNqyvaBurI9oK5sH6grCXVl+0Bd2R5QV7YH1JTtA3Vle7BZNCU7xk8wV1xxBb71rW/hyJEjME0Tt99+O5588klcc801J3rXSBWOHTuG7373u/jt3/7tE70rxEGpVMJ3v/td7N69G9dccw26u7tx8cUX4xvf+MaJ3jXiwk9+8hN0d3dj9+7d+J3f+R1MTEyc6F0iDkqlEt7whjfgXe96F84444wTvTukQXK5HD7xiU8gGo3inHPOOdG7QzYIasr2hLry5ISasv2grjz5oa5sT6grtybUle0JdeXJCXVle0FN2R5QV7YfJ5umZGL8BPMv//IvOP300zE4OAiv14trr70WH/3oR3HFFVec6F0jVfjsZz+LcDiMV77ylSd6V4iDiYkJLC0t4f/7//4/XHvttfjhD3+IG264Aa985Svx05/+9ETvHrHx4he/GJ///Ofx4x//GB/84Afxq1/9CldeeSWy2eyJ3jVi4//+3/8LXdfxv//3/z7Ru0Ia4Dvf+Q5CoRB8Ph8+9KEP4dZbb0VnZ+eJ3i2yQVBTtifUlScn1JTtBXVle0Bd2V5QV25tqCvbE+rKkxPqyvaBmrJ9oK5sH05WTcnEeB1uvvlmKIpS89+9997b8vb/5V/+Bb/85S/xrW99C/fddx8++MEP4m1vextuu+22NTyKzc96Xyc7n/rUp/Abv/EbnAPTIut5rUqlEgDg+uuvx9vf/nace+65+LM/+zO87GUvw7/927+t5WFsetb7O3XjjTfipS99Kc4880xcd911+P73v48nn3wS3/3ud9fwKDY/63md7rvvPvzzP/8zPvOZz0BRlDXe863HRqxTL3jBC7Bnzx7cdddduPbaa/Ha176W1c0nEdSU7QN1ZXtATdk+UFe2B9SV7QN1JaGubB+oK9sD6sr2gJqyfaCubA+2sqbUT/QOnOz8wR/8AW666aaazxkdHW1p2+l0Gu95z3vw9a9/HS996UsBAGeffTb27NmDf/zHf8QLX/jClra7FVnP62TnjjvuwBNPPIEvfelLq97WVmU9r1VnZyd0Xcfpp59e8fhpp52GO++8s6VtblU26jsl9PX1YWRkBE899dSabXMrsJ7X6Y477sDExASGh4etx4rFIv7kT/4EH/7wh/Hss8+2tN2tykZ8p4LBIHbu3ImdO3fikksuwa5du3DLLbfg3e9+96q2S9YGasr2gbqyPaCmbB+oK9sD6sr2gbqSUFe2D9SV7QF1ZXtATdk+UFe2B1tZUzIxXofOzs51a+3P5/PI5/NQ1crGfU3TrGoy0hjreZ3s3HLLLTj//PNPijkI7cp6Xiuv14sLL7wQTzzxRMXjTz75JEZGRtblPTcrG/WdEqanp3Ho0CH09fVt2HtuBtbzOr3hDW9YEfS45ppr8IY3vAG/+Zu/uS7vuZnZ6O8UAJimScuvkwhqyvaBurI9oKZsH6gr2wPqyvaBupJQV7YP1JXtAXVle0BN2T5QV7YHW1lT0kp9DTl48CD27NmDgwcPolgsYs+ePdizZw+Wlpas55x66qn4+te/DgCIRCJ43vOeh3e96134yU9+gmeeeQaf+cxn8B//8R+44YYbTtRhbHqavU7CwsICvvKVr+DNb37zRu/ylqWVa/Wud70LX/rSl/DJT34S+/btw0c+8hF8+9vfxtve9rYTcQhbgmav09LSEt75znfiF7/4BZ599ln85Cc/wXXXXYfOzk7+7VtHmr1OiUQCZ555ZsU/j8eD3t5enHLKKSfqMLYEzV6rZDKJ97znPfjlL3+JAwcO4P7778eb3/xmHD58GK95zWtO1GGQVUBN2T5QV7YH1JTtA3Vle0Bd2T5QVxLqyvaBurI9oK5sD6gp2wfqyvZg02lKk6wZb3zjG00AK/7dfvvt1nMAmJ/+9Ketn8fHx803velNZn9/v+nz+cxTTjnF/OAHP2iWSqWNP4AtQivXyTRN8+Mf/7jp9/vNubm5jd3hLUyr1+qWW24xd+7cafp8PvOcc84xv/GNb2zsjm8xmr1OqVTKvPrqq82uri7T4/GYw8PD5hvf+Ebz4MGDJ+YAtgitfp/sjIyMmB/60IfWfV+3Os1eq3Q6bd5www1mf3+/6fV6zb6+PvPlL3+5ec8995yYAyCrhpqyfaCubA+oKdsH6sr2gLqyfaCuJNSV7QN1ZXtAXdkeUFO2D9SV7cFm05SKaZqme8qcEEIIIYQQQgghhBBCCCGEEEIIaX9opU4IIYQQQgghhBBCCCGEEEIIIWRTw8Q4IYQQQgghhBBCCCGEEEIIIYSQTQ0T44QQQgghhBBCCCGEEEIIIYQQQjY1TIwTQgghhBBCCCGEEEIIIYQQQgjZ1DAxTgghhBBCCCGEEEIIIYQQQgghZFPDxDghhBBCCCGEEEIIIYQQQgghhJBNDRPjhBBCCCGEEEIIIYQQQgghhBBCNjVMjBNCCCGEEEIIIYQQQgghhBBCCNnUMDFOCCGEEEIIIYQQQgghhBBCCCH/P3v3HSZXVf8P/H1n7vTtu0l20zYFQiAkiNJbQgmhYyJdmhBExIKiIEUCSERAMf5QVCQk0pEWeggloQfwi4IgJSF9e9/Z6XPv+f2xnsP0nZmdrXm/nmcf2Dt37r0z2b37nlM+h0Y1dowTEREREREREREREREREdGoxo5xIiIiIiIiIiIiIiIiIiIa1dgxTkREREREREREREREREREoxo7xomIiIiIiIiIiIiIiIiIaFRjxzgREREREREREREREREREY1q7BgnIiIiIiIiIiIiIiIiIqJRjR3jREREREREREREREREREQ0qrFjnIiIiIiIiIiIiIiIiIiIRjV2jBMRERERERERERERERER0ajGjnEiIiIiIiIiIiIiIiIiIhrV2DFORERERERERERERERERESjGjvGiYiIiIiIiIiIiIiIiIhoVGPHOBERERERERERERERERERjWrsGCciIiIiIiIiIiIiIiIiolGNHeNERERERERERERERERERDSqsWOciIiIiIiIiIiIiIiIiIhGNXaMExERERERERERERERERHRqMaOcSIiIiIiIiIiIiIiIiIiGtXYMU5EO5V169ZB0zSsW7duqC8Fd955J1auXJm0fcuWLdA0LeVjg+n666+HpmlobW0d0usgIiIiGm6YKbPHTElERESUHnNl9pgriagQ9KG+ACKindWdd96JqqoqnH/++XHba2pq8M4772D69OlDc2FERERENGIwUxIRERFRITBXEtHOgB3jRETDjMPhwAEHHDDUl0FEREREIxgzJREREREVAnMlEY0mLKVORCPShg0bcNZZZ2Hs2LFwOBzYfffd8ac//Slun88++wzHHHMM3G43qqqq8L3vfQ9erzfpWFOmTEkaCQkA8+bNw7x58+K2dXZ24vLLL8e0adPgcDgwduxYHHfccfjss8/UPjfccAP2339/VFRUoKSkBF//+texfPlyCCHizvnJJ5/gtddeg6Zp0DQNU6ZMAZC+PNGbb76JI488EsXFxXC73TjooIPw3HPPxe2zcuVKaJqGtWvX4pJLLkFVVRUqKyuxaNEi1NfXZ/HOZvbZZ59h2rRp2H///dHc3AwAEELg17/+NWpra+F0OrHPPvvgpZdeSvn+EREREQ0nzJTMlERERESFwFzJXElEIwNnjBPRiPPf//4XBx10ECZPnozf/e53qK6uxosvvogf/ehHaG1txZIlS9DU1IS5c+fCZrPhzjvvxLhx4/DAAw/gBz/4Qd7n9Xq9OOSQQ7BlyxZceeWV2H///dHT04PXX38dDQ0NmDlzJoDesHjxxRdj8uTJAID169fjhz/8Ierq6nDdddcBAJ588kmccsopKC0txZ133gmgd/RlOq+99hrmz5+POXPmYPny5XA4HLjzzjtx4okn4qGHHsLpp58et//ixYtx/PHH48EHH8T27dvx85//HGeffTZeffXVvF//a6+9hoULF+Kwww7Dgw8+CLfbDQC45pprcPPNN+O73/0uFi1ahO3bt2Px4sWIRCKYMWNG3ucjIiIiGkjMlMyURERERIXAXMlcSUQjiCAiGmEWLFggJk6cKLq6uuK2/+AHPxBOp1O0t7eLK6+8UmiaJv7973/H7TN//nwBQKxdu1Ztq62tFeedd17SeebOnSvmzp2rvr/xxhsFAPHSSy9lfa2GYYhIJCJuvPFGUVlZKUzTVI/NmjUr7vjS5s2bBQCxYsUKte2AAw4QY8eOFV6vV22LRqNizz33FBMnTlTHXbFihQAgvv/978cd89ZbbxUARENDQ9bXvmTJEgFAtLS0iPvuu0/Y7Xbxox/9SBiGofZpb28XDodDnH766XHPfeeddwSAlK+PiIiIaDhgpuzFTElERETUP8yVvZgriWgkYCl1IhpRgsEgXnnlFSxcuBButxvRaFR9HXfccQgGg1i/fj3Wrl2LWbNmYa+99op7/llnnZX3uV944QXMmDEDRx11VMb9Xn31VRx11FEoLS2F1WqFzWbDddddh7a2NlXSJxc+nw/vvvsuTjnlFBQVFantVqsV55xzDnbs2IHPP/887jknnXRS3Pdz5swBAGzdujXn8y9duhTnn38+fvOb3+APf/gDLJav/nSsX78eoVAIp512WtxzDjjgAFVuiYiIiGi4YaZkpiQiIiIqBOZK5koiGlnYMU5EI0pbWxui0SjuuOMO2Gy2uK/jjjsOANDa2oq2tjZUV1cnPT/Vtmy1tLRg4sSJGfd57733cPTRRwMA/va3v+Gtt97C+++/j2uuuQYAEAgEcj5vR0cHhBCoqalJemz8+PEAet+XWJWVlXHfy9JH+Zz//vvvx4QJE3DGGWckPSbPO27cuKTHUm0jIiIiGg6YKeMxUxIRERHlh7kyHnMlEQ13XGOciEaU8vJyNfrw0ksvTbnP1KlT8cc//hGNjY1Jj6Xa5nQ6EQqFkra3traiqqpKfT9mzBjs2LEj4/U9/PDDsNlsePbZZ+F0OtX2VatWZXxeJuXl5bBYLGhoaEh6rL6+HgDirrPQVq9ejdNPPx2HHnooXnnlFdTW1qrHZKhtampKel5jYyNHYhIREdGwxEwZj5mSiIiIKD/MlfGYK4louOOMcSIaUdxuNw4//HD861//wpw5c7DPPvskfVVWVuLwww/HJ598gg8//DDu+Q8++GDSMadMmYKPPvoobtsXX3yRVPLn2GOPxRdffIFXX3017fVpmgZd12G1WtW2QCCA++67L2lfh8OR1ahIj8eD/fffH0888UTc/qZp4v7778fEiRMxY8aMPo+Tr9raWrzxxhtwOBw49NBDsWHDBvXY/vvvD4fDgUceeSTuOevXr8+rFBIRERHRYGCmZKYkIiIiKgTmSuZKIhpZ2DFORCPOH/7wB2zbtg2HHnooVq5ciXXr1uGZZ57B73//exxxxBEAgMsuuwxVVVU4/vjjsXLlSrzwwgs4++yz8dlnnyUd75xzzsF///tffP/738crr7yCe+65ByeddBLGjBkTt99ll12GWbNm4eSTT8bSpUvx0ksv4emnn8bll1+OtWvXAgCOP/549PT04KyzzsJLL72Ehx9+GIceeqgqDxRr9uzZ+PDDD/HII4/g/fffx3/+85+0r/nmm29GW1sbDj/8cDz22GN4+umncdxxx+Hjjz/Gb3/7W2ia1p+3tE81NTV47bXXMGbMGBx22GH4+OOPAQAVFRX46U9/in/84x/43ve+hxdffBHLly/Haaedhpqamrg1fgBg3rx5A36tRERERNlgpmSmJCIiIioE5krmSiIaQQQR0Qi0efNmccEFF4gJEyYIm80mxowZIw466CBx0003qX3++9//ivnz5wun0ykqKirEhRdeKJ566ikBQKxdu1btZ5qmuPXWW8W0adOE0+kU++yzj3j11VfF3Llzxdy5c+PO29HRIX784x+LyZMnC5vNJsaOHSuOP/548dlnn6l97rnnHrHbbrsJh8Mhpk2bJm6++WaxfPlyAUBs3rxZ7bdlyxZx9NFHi+LiYgFA1NbWqtcGQKxYsSLu3G+88YY44ogjhMfjES6XSxxwwAHimWeeidtnxYoVAoB4//3347avXbs26XX3ZcmSJQKAaGlpUds6OzvFwQcfLCoqKtQ5TNMUN910k5g4caKw2+1izpw54tlnnxV77bWXWLhwYdwxv/GNb4jq6uqsr4GIiIhoIDFTMlMSERERFQJzJXMlEY0MmhBCDGpPPBERjXqbN2/GzJkzsWTJElx99dUAAK/Xi4qKCixbtiztmktERERERBIzJREREREVAnMlEUn6UF8AERGNbB9++CEeeughHHTQQSgpKcHnn3+OW2+9FSUlJbjwwgvVfq+//jomTJiAiy66aAivloiIiIiGI2ZKIiIiIioE5koiyoQzxomIdjKmacI0zYz76Hr246Y2btyI733ve/jwww/R2dmJ0tJSzJs3D0uXLsVuu+3W38slIiIiomGImZKIiIiICoG5kogGEzvGiYh2Mtdffz1uuOGGjPts3rwZU6ZMGZwLIiIiIqIRh5mSiIiIiAqBuZKIBhM7xomIdjL19fWor6/PuM+cOXNgt9sH6YqIiIiIaKRhpiQiIiKiQmCuJKLBxI5xIiIiIiIiIiIiIiIiIiIa1SxDfQFEREREREREREREREREREQDiR3jRAPs+uuvh6ZpcdumTJmC888/P6fjvP3227j++uvR2dlZuIsbQvJ9aW1tHepLUbZs2QJN07By5cp+HeeCCy7AMcccE7dt2bJlWLRoEaZOnQpN0zBv3ryUz125ciU0TUv51djYmLT/yy+/jAMPPBButxtVVVU4//zz0dzcnLRfJBLBDTfcgClTpsDhcGDmzJm44447Ul7Dpk2bsGjRIpSVlaGoqAjz58/HBx98kPXr/+CDD3DUUUehqKgIZWVlWLRoETZt2pT18xM98cQTOPPMM7HLLrvA5XJhypQp+Pa3v40NGzak3H+o35OHH34YX/va1+B0OjF+/Hhcdtll6Onpyfr13nHHHZg5cyYcDgemTp2KG264AZFIJG6fZcuWxf1sDKffIyIiGjjMlantTLnyiy++wM9+9jN84xvfQFlZGSoqKnDwwQfjscceS/n85uZmnH/++aiqqoLb7caBBx6IV155JeW+Q52hUhnKXDlv3ryUmTwx5wPMlURENPIwV6bGXJk6V7K9MtnLL7+M+fPnY/z48XA4HBg7diyOOOIIPP/882n3Z3sl0TAhiGhALVmyRCT+qn3wwQdi48aNOR3ntttuEwDE5s2bC3h1Q0e+Ly0tLUN9KcrmzZsFALFixYq8j/HBBx8Ii8Ui3n///bjtu+22m/j6178uLrjgAjFmzBgxd+7clM9fsWKFuoZ33nkn7iscDsftu27dOqHrujj55JPFmjVrxP333y8mTJgg9txzTxEMBuP2Xbx4sXA4HOLWW28Va9euFb/4xS+Epmli6dKlcfs1NzeL8ePHi1mzZonHH39cPPfcc+KQQw4RxcXF4rPPPuvz9X/66aeiuLhYHHrooeK5554Tjz/+uJg1a5YYP368aG5uzuIdTLbffvuJk046Sdxzzz1i3bp14r777hO77767KCoqEh9//PGwek/uv/9+AUAsXrxYvPrqq+Ivf/mLKC0tFfPnz8/qtd50001C0zRx1VVXibVr14pbb71V2O12cdFFF8Xt19DQIN555x1x4YUXDrvfIyIiGjjMlantTLnyjjvuEDNnzhRLly4Va9asEc8//7w477zzBABxww03xD0/GAyKPffcU0ycOFHcf//9Ys2aNeLkk08Wuq6LdevWxe071BkqlaHOlXPnzhXTpk1LyuSffvpp0nGZK4mIaKRhrkyNuTJ1rmR7ZbKHH35Y/PjHPxYPP/ywWLdunXjiiSfE0UcfLQCI++67b1i9J8yVRPHYMU40wFIFzXwwaA68QgTN0047TRxwwAFJ2w3DUP8/a9asPjvGEzvWU9l3333FHnvsISKRiNr21ltvCQDizjvvVNs+/vhjoWma+PWvfx33/Isuuki4XC7R1tamtv385z8XNptNbNmyRW3r6uoSVVVV4rTTTuvzmk499VRRVVUlurq61LYtW7YIm80mrrjiij6fn0pTU1PStrq6OmGz2cSFF14Yt30o35NoNCpqamrE0UcfHXfMBx54QAAQzz//fMbX2draKpxOp/jud78bt33p0qVC0zTxySefJD1nOP4eERHRwGGuTG04/j0cqFzZ0tIiTNNM2vf4448Xbrc7rmHtT3/6kwAg3n77bbUtEomIPfbYQ+y3335xz2euTM6Vc+fOFbNmzerzmMyVREQ0EjFXpjYc/x4Oh1zJ9srshMNhMWHCBHHooYfGbWd7JdHwwlLqRAX03HPP4Wtf+5oqKfLb3/425X6JpYlM08RNN92E3XbbDS6XC2VlZZgzZw7+8Ic/AOgt4/Pzn/8cAFQpbk3TsG7dOgDAI488gqOPPho1NTVwuVzYfffd8Ytf/AI+ny/uvOeffz6KioqwceNGHHfccSgqKsKkSZNw+eWXIxQKxe0bCoVw4403Yvfdd4fT6URlZSUOP/xwvP3222ofIQTuvPNOfO1rX4PL5UJ5eTlOOeWUnMrQbN++HYsWLUJJSQlKS0tx9tlno6WlJW6fgXh99fX1OO2001BcXIzS0lKcfvrpKUv/5KKpqQlPPvkkzjnnnKTHLJbC3m7r6urw/vvv45xzzoGu62r7QQcdhBkzZuDJJ59U21atWgUhBL7zne/EHeM73/kOAoEAVq9erbY9+eSTOOKII1BbW6u2lZSUYNGiRXjmmWcQjUbTXlM0GsWzzz6Lb33rWygpKVHba2trcfjhh8ddUy7Gjh2btG38+PGYOHEitm/frrYN9Xuyfv16NDQ0JB3z1FNPRVFRUZ+vf/Xq1QgGgymvSQiBVatWZXw+ERGNLsyVzJWpcmVVVVVS2VMA2G+//eD3+9He3q62Pfnkk9htt91w4IEHqm26ruPss8/Ge++9h7q6OgBDn6FSGepcmQvmSiIiGu6YK5kr+5srs7Uz5cpUbDYbysrK4l77UL8nzJVEydgxTlQgr7zyCk4++WQUFxfj4Ycfxm233YZ//OMfWLFiRZ/PvfXWW3H99dfjzDPPxHPPPYdHHnkEF154oVqfZ/HixfjhD38IoHddvHfeeQfvvPMOvv71rwMANmzYgOOOOw7Lly/H6tWrcdlll+Ef//gHTjzxxKRzRSIRnHTSSTjyyCPx1FNP4YILLsDvf/973HLLLWqfaDSKY489Fr/61a9wwgkn4Mknn8TKlStx0EEHYdu2bWq/iy++GJdddhmOOuoorFq1CnfeeSc++eQTHHTQQWhqasrqfVu4cCF22WUXPPbYY7j++uuxatUqLFiwIG6NkkK/vkAggKOOOgpr1qzBzTffjEcffRTV1dU4/fTTk44n1/HJZo2lNWvWIBKJ4PDDD8/qtWdywgknwGq1oqKiAosWLcLHH38c97j8fs6cOUnPnTNnTtz+H3/8McaMGYPq6uqk/WKPFQgE8OWXX6Y9ZiAQyPgh4ssvv0QgEEj7/I0bNyIYDKZ9fi42bdqErVu3YtasWWrbUL8n6c5vs9kwc+bMpH/DRPLx2bNnx22vqalBVVVVn88nIqLRg7mSuTLXXLl27VqMGTMmruP3448/TpthAOCTTz5R+8VuT9x3Z8yVsddRUVEBXdcxffp0XHPNNQgEAnH7MFcSEdFwxlzJXFmIXCmxvTKZaZqIRqOor6/HkiVL8MUXX+Dyyy9Xjw/1e8JcSZRM73sXIsrGNddcg3HjxuGll16C0+kEACxYsABTpkzp87lvvfUWZs+ejeuvv15tW7Bggfr/iRMnYvLkyQCAvffeO+mY1157rfp/IQQOPvhg7L777pg7dy4++uijuD984XAYN9xwA0499VQAwJFHHol//vOfePDBB3HdddcBAB566CGsXbsWf/vb37B48WL13Nhgt379evztb3/D7373O/z0pz9V2w899FDMmDEDt99+e1y4S2fRokW49dZbAQBHH300xo0bh29/+9v4xz/+gW9/+9sD8vr+/ve/49NPP8VTTz2Fk046SZ07EAjgb3/7W9z1aZoGq9UKq9Xa52t555134HK5MHPmzD73Tae6uhrXXHMNDjjgAJSUlOA///kPfvOb3+CAAw7AW2+9hb322gsA0NbWBgCoqKhIOkZFRYV6XO6baj+PxwO73a727ejogBAi7TFjz5tKX9ckhEBHRwdqamrSHiMb0WgUF154IYqKivCTn/wk6/MP9HvS1/m3bNmS8XW1tbXB4XDA4/H0ef1ERDS6MVf2Yq7MLlfefffdWLduHf7whz/EHTtd3sk1w+yMuRIADjnkEJx++umYOXMmAoEAXnjhBdx666148803sXbtWlURirmSiIiGM+bKXsyV/cuVbK9M77jjjsOLL74IoHfG9iOPPILjjz8+6/OzvZJo8HHGOFEB+Hw+vP/++1i0aJEKmQBQXFyccpRgov322w8ffvghvv/97+PFF19Ed3d3TufftGkTzjrrLFRXV8NqtcJms2Hu3LkAgE8//TRuX03Tkq5pzpw52Lp1q/r+hRdegNPpxAUXXJD2nM8++yw0TcPZZ5+NaDSqvqqrq7HXXnupskl9kWFSOu2006DrOtauXTtgr2/t2rUoLi5WIVM666yzkq6vtrYW0WgUy5cv7/O11NfXY8yYMSnLEGXrmGOOwU033YQTTjgBhx12GC699FK88cYb0DRNBeVY6c6VuD3TNfVn31z36c97A/R+0Ljwwgvxxhtv4N5778WkSZOyPsdgvSfZnj/Xffr73hER0cjAXMlcCWSfK1944QVceumlOOWUU9SMrcTXkE6+GWZnyZU33XQTLrnkEhx++OE47rjjcMcdd+A3v/kNXn/9dTz11FN5XydzJRERDRbmSuZKoDC5ku2V6d1xxx1477338NRTT2HBggU4/fTT8dBDD2V9DrZXEg0+zhgnKoCOjg6YpplU5gRAym2JrrrqKng8Htx///34y1/+AqvVisMOOwy33HIL9tlnn4zP7enpwaGHHgqn04mbbroJM2bMgNvtVmvhJJb6c7vdcWEYABwOR1zJmJaWFowfPz7juthNTU0QQmDcuHEpH582bVpfLxtA8vuj6zoqKyvVaLOBeH1tbW0przubf6tMAoFA0rkLYcqUKTjkkEOwfv16ta2yshJA6hGR7e3tcaMAKysr8e9//ztpP5/Ph3A4rPYtLy+HpmlpjwmkHl2Y7TVpmoaysrK0z++LEAKLFy/G/fffj7///e84+eSTczr/QL8nsedP/PlKPH8qlZWVCAaD8Pv9cLvdSc//xje+kfH5REQ0OjBXJmOuTO3FF1/EokWLMH/+fDzwwANJjVKxrz1WpgyTat+dMVemc/bZZ+NnP/sZ1q9fj4ULF6prZa4kIqLhiLkyGXNlan3lylTYXtlr1113Vf9/0kkn4dhjj8Wll16K008/HRaLZcjfE+ZKomScMU5UAPKPUWNjY9JjqbYl0nUdP/3pT/HBBx+gvb0dDz30ELZv344FCxbA7/dnfO6rr76K+vp63HPPPVi8eDEOO+ww7LPPPiguLs779YwZMwb19fUwTTPtPlVVVdA0DW+++Sbef//9pK9Vq1Zlda7E9ycajaKtrU390R6I11dZWZlyTaFs/q0yqaqqUuGj0IQQccF/zz33BAD85z//Sdr3P//5j3oc6F0DpqWlJen1yefKfV0uF3bZZZe0x3S5XBk/QEyfPh0ulyvt83fZZZe8Bw7IxssVK1bg7rvvxtlnn520z1C/J3KtncR9o9EoPvvss7jzp5Lu+Y2NjWhtbe3z+URENDowVzJXAn3nyhdffBHf/OY3MXfuXDz++OOw2+1J+8yePTtthgG+yjtDnaFSGepc2ZfYXM5cSUREwxVzJXMlUJhcmc7O3l6Zyn777YeOjg60tLQAGPr3hLmSKBk7xokKwOPxYL/99sMTTzwRN9LP6/XimWeeyelYZWVlOOWUU3DppZeivb1drfPhcDgAIGnEoRzBJx+X/vrXv+b6MpRjjz0WwWAQK1euTLvPCSecACEE6urqsM8++yR9yT+afXnggQfivv/HP/6BaDSKefPmARiY13f44YfD6/Xi6aefjtv+4IMP5n1MAJg5cyba2trQ1dXVr+Mk2rx5M9566y0ccMABatuECROw33774f7774dhGGr7+vXr8fnnn2PRokVq28knnwxN0/D3v/897rgrV66Ey+XCMccco7YtXLgQr776KrZv3662eb1ePPHEEzjppJOg6+kLjei6jhNPPBFPPPEEvF6v2r5t2zasXbs27ppyIYTARRddhBUrVuCvf/0rvvOd76Tcb6jfk/333x81NTVJvzePPfYYenp6+nz9xxxzDJxOZ9LzV65cCU3T8M1vfjPj84mIaHRgrmSuBDLnyjVr1uCb3/wmDjnkEKxatSrp9UgLFy7EZ599hnfffVdti0ajuP/++7H//vtj/PjxAIY+Q6Uy1LkyHfm6Y3M5cyUREQ1XzJXMlUBhcmUqO3t7ZSpCCLz22msoKytTgyiG+j1hriRKQRBRQaxZs0ZYLBZxyCGHiCeffFI89thjYt999xWTJk0Sib9qtbW14rzzzlPfn3DCCeIXv/iFeOyxx8Rrr70m7r33XjFlyhRRW1srwuGwEEKItWvXCgDi4osvFm+//bZ4//33RXd3t2htbRXl5eVir732Ek888YR45plnxBlnnCF23XVXAUCsWLFCnee8884THo8n6dqXLFkSd42RSEQcfvjhwmaziSuuuEK88MIL4rnnnhPXXXedeOihh9R+3/3ud4Xb7RY///nPxTPPPCNeffVV8cADD4hLLrlE3HnnnRnfL3nO2tpa8fOf/1ysWbNG/P73vxdFRUVir732EqFQSAghBuT1+Xw+MWPGDFFaWir++Mc/ihdffFH8+Mc/FpMnT0465pYtW4TVahUXXHBBxtcjhBCvv/66ACBefPHFpMfef/998eijj4pHH31UTJo0Seyxxx7q+y1btqj9jjzySHHDDTeIJ598Urzyyiti2bJlYvz48aK4uFj85z//iTvm2rVrha7rYuHCheKll14SDzzwgJg0aZLYc889RTAYjNt38eLFwuFwiNtuu02sW7dOXH311ULTNLF06dK4/Zqbm0VNTY2YPXu2ePLJJ8Xzzz8vDjvsMFFcXCw+/fTTuH2nT58upk+fHrft008/FUVFReKwww4Tzz//vHjiiSfEnnvuKcaPHy+am5vj9p07d27S70YqP/jBDwQAccEFF4h33nkn7uuDDz4YVu/JfffdJwCI7373u2Lt2rXirrvuEmVlZWL+/Plx+61bt05YrVZxww03xG2/6aabhKZp4uqrrxbr1q0Tt912m3A4HOKiiy5K+d7In+2WlpakbWvXru3zvSUiouGJuZK5Ml2ufOONN4TL5RJTpkwRr776alI26urqUvsGg0Exa9YsMWnSJPHAAw+Il156SSxcuFDoui7WrVsXd9yhzlDDLVe+/vrrYsGCBeIvf/mLWLNmjXj66afFJZdcIqxWqzjiiCOEYRgD/p4wVxIRUSEwVzJXFiJXsr0y2UknnSR++ctfiscff1ysW7dOPPjgg+Loo48WAMSf/vSnYfWeMFcSxWPHOFEBPf3002LOnDnCbreLyZMni9/85jdJIUeI5KD5u9/9Thx00EGiqqpKPffCCy+M6zAVQoirrrpKjB8/Xlgslrg/JG+//bY48MADhdvtFmPGjBGLFy8WH3zwQd5BTAghAoGAuO6668Suu+4q7Ha7qKysFEcccYR4++234/a75557xP777y88Ho9wuVxi+vTp4txzzxX//Oc/M75X8pz/93//J0488URRVFQkiouLxZlnnimampri9h2I17djxw7xrW99S533W9/6lnj77beTjrl582YBIO7fKx3DMMSUKVPE97///aTHzjvvPAEg5Vfs+S677DKxxx57iOLiYqHruhg/frw4++yzxeeff57ynGvWrBEHHHCAcDqdoqKiQpx77rlJ758QQoTDYbFkyRIxefJkYbfbxYwZM8T/+3//L+UxN27cKL75zW+KkpIS4Xa7xZFHHin+7//+L2m/2tpaUVtbm7T9n//8pzjyyCOF2+0WJSUl4pvf/KbYuHFj0n7f+MY3RHV1dcprSDxPuvcu1fmH8j0RQogHH3xQ3Qeqq6vFj370I+H1euP2kR8clyxZkvT8P/zhD2LGjBnqXrBkyRL1gTNRqqB5+eWXC03TkkIwERGNLMyVzJWpcqU8f7qvxIamxsZGce6554qKigrhdDrFAQccIF566aWU52Su/Or8GzZsEMcdd5yYMGGCcDgcwul0itmzZ4ulS5cmNV4O1HsiBHMlEREVBnMlc2V/cyXbK5PdcsstYt999xXl5eXCarWKyspKsWDBAvHss8+m3J/tlcyVNHxoQgiRZjI5ERHl6He/+x2WLl2Kuro6uFyuob6cYcvr9aKiogLLli3DpZdeOtSXM+IIIWAYBm688Ub86le/QktLC6qqqgD0rmVUW1uLRx99dIivkoiIiPqDuTI7zJX9w1xJREQ0+jFXZoe5sn+YK2mk4BrjREQFdOmll6K0tBR/+tOfhvpShrXXX38dEyZMwEUXXTTUlzIi/eEPf4DNZsOvfvWruO3d3d348MMPceONNw7RlREREVGhMFdmh7myf5griYiIRj/myuwwV/YPcyWNFJwxTkRUYG+++Sb+9a9/4Yc//OFQXwqNUs3Nzdi2bZv6/mtf+xp0XR/CKyIiIqKBwFxJA425koiIaOfAXEkDjbmSRgp2jBMRERERERERERERERER0ajGUupERERERERERERERERERDSqsWOciJKsXLkSmqbB6XRi69atSY/PmzcPe+655xBcWWqPPPIIZs2aBZfLBU3T8O9//zvlfv/9739x/fXXY8uWLTkdf968eZg3b16/r7NQHnjgAey9995wOp2oqqrCWWedhe3bt8fts27dOmialvbre9/7XlbneuONN+BwOOJ+Ds4///yUx5w5c2afx9uyZUvG6zrmmGPi9r/22mtxwgknYMKECdA0Deeff37K477++uvYe++9UVxcjMMOOwz//e9/k/a59NJLMXfuXCQWSolEIpg+fTqWLVvW9xtCREREWWOmjDecMuX111+fMos5nc6U+z/88MP42te+BqfTifHjx+Oyyy5DT09P1udLzJSGYeD222/HMcccg4kTJ8LtdmP33XfHL37xC3R2dmZ1zHA4jOuuuw5Tp06F3W5HbW0trrrqKgQCgYzPe/nll9XrbW1tjXuMmZKIiGh4Yq6MN5xy5UMPPYTDDjsM48aNg8PhwPjx43HiiSfi7bffTrl/a2srfvzjH2PKlClwOBwYN24cjj32WLS3t2d1voHIlc8++yzOPfdczJ49GzabDZqmpdzv//7v/3DppZdi9uzZKC4uxrhx43DUUUfh1VdfTdqXuZJo+GLHOBGlFQqFcO211w71ZWTU0tKCc845B9OnT8fq1avxzjvvYMaMGSn3/e9//4sbbrgh57B555134s477yzA1fbfHXfcgbPPPhv77LMPnnrqKdxyyy1Yt24dDj30UHR0dKj9vv71r+Odd95J+jr33HMBAAsXLuzzXEIIXHbZZbjoootQW1sb95jL5Uo69iOPPNLnMWtqalJe15VXXpnyun7/+9+jra0NJ510Eux2e8pjdnZ2YuHChdh3333xxBNPoLS0FIsWLYJhGGqf9evX45577sFf//rXpHBrs9lw3XXX4cYbb0RbW1ufr4GIiIhyw0zZazhlSkm+Vvn1+uuvJ+3zwAMP4Mwzz8S+++6LF154AUuWLMHKlSuxaNGirM6RKlMGAgFcf/31qK2txbJly/D888/joosuwl133YWDDz64z85tADjzzDNx22234bvf/S6ef/55LF68GLfffjtOP/30tM/p6enBRRddhPHjxyc9xkxJREQ0/DFX9hpOubKtrQ0HH3ww7rzzTqxZswa33347mpqacNhhh+G1116L27e+vh77778/Vq9ejV/+8pd46aWX8Oc//xm77LILwuFwn+caqFz55JNPYv369dhjjz2w1157pd3voYcewnvvvYcLLrgATz31FO6++244HA4ceeSRuPfee9V+zJVEw5wgIkqwYsUKAUAcc8wxwmKxiH//+99xj8+dO1fMmjVriK4u3ptvvikAiEceeaTPfR999FEBQKxduzarY/t8vn5eXWEFg0FRWloqTjzxxLjtb7/9tgAgrr766ozPN01TTJs2TdTW1grDMPo83/PPPy8AiM8++yxu+3nnnSc8Hk/uLyCDefPmCbfbLbq6uuK2x16nx+MR5513Xsrr9Hg8IhwOCyGEqKurEwDEp59+KoQQIhwOi9mzZ4slS5akPX8oFBIVFRVi6dKl/X8xREREJIRgppSGW6YUQoglS5YIAKKlpSXjftFoVNTU1Iijjz46bvsDDzwgAIjnn3++z3OlypTRaFS0trYm7Svf2/vuuy/jMd955x0BQPzud7+L2/7rX/9aABBr1qxJ+bxLL71U7L333uLaa69Nev3MlERERMMXc2Wv4ZgrU+ns7BQ2m02cc845cdtPPvlkMWHCBNHe3p7XcQciVwoR3/546aWXinTdZk1NTUnbotGomDNnjpg+fXrcdTJXEg1fnDFORGldccUVqKysVLN5MwkGg7jqqqtUKcMJEybg0ksvzbpkTSpPP/00DjzwQLjdbhQXF2P+/Pl455131OPnn38+DjnkEADA6aefDk3T0pYRWrlyJU499VQAwOGHH67KJ65cuRLAVyWXXn/9dRx00EFwu9244IIL1GOxx5XlwG+99VYsXboUkydPhtPpxD777INXXnkl7rwtLS347ne/i0mTJsHhcGDMmDE4+OCD8fLLL+f8fnz88cfo6urCcccdF7f9wAMPREVFBR5//PGMz1+7di02bdqE73znO7BY+r79//nPf8a+++6L3XbbLedrzcWXX36J1157DaeddhpKSkriHsvmOoPBIBwOB2w2GwCgqKhIbQeA3/72twiHw7jqqqvSHsNut+P000/HXXfdlVS+iIiIiPqHmXJ4ZcpcrF+/Hg0NDfjOd74Tt/3UU09FUVERnnzyyT6PkSpTWq1WVFZWJu273377AUDSMkGJ3nrrLQBIysUnnHACAKTMxW+88Qbuuusu3H333bBarUmPM1MSERENf8yVIyNXFhcXw+l0Qtf1uGt8+umncdFFF6G8vDyv4w5ErgSya38EgLFjxyZts1qt+MY3vhF3HuZKouGNHeNElFZxcTGuvfZavPjiiynXSpGEEPjmN7+J3/72tzjnnHPw3HPP4ac//Sn+/ve/44gjjkAoFMr53A8++CBOPvlklJSU4KGHHsLy5cvR0dGBefPm4c033wQA/PKXv8Sf/vQnAMCvf/1rvPPOO2nLCB1//PH49a9/DQD405/+pMpFHn/88WqfhoYGnH322TjrrLPw/PPP4/vf/37Ga/zjH/+I1atXY9myZbj//vthsVhw7LHHxgXic845B6tWrcJ1112HNWvW4O6778ZRRx0VVwZHrgd+/fXXZzyfLCnkcDiSHnM4HNiwYYMKWKksX74cFoslqWEz3blefvllHH744SkfDwQCqK6uhtVqxcSJE/GDH/wg67WAEt1zzz0QQmDx4sV5PX+fffaB1+vFn//8Z3R2duLXv/41Kisrsdtuu+HLL7/ETTfdhLvuuivl+xZr3rx52Lp1Kz7++OO8roOIiIhSY6YcXpky1uzZs2G1WjFu3Dice+652LZtW9zjMhfNmTMnbrvNZsPMmTP7zE19ZcpE8udj1qxZfR4XSM7F8vuPPvoobnsgEMCFF16Iyy67DF//+tdTHpOZkoiIaPhjrhy+udIwDEQiEWzZsgWXXHIJhBC49NJL1eNvvPEGhBAYP348zjzzTBQVFcHpdGLevHlx15fOQOXK/opGo3jjjTfizsNcSTTMDdlcdSIatmR5ovfff1+EQiExbdo0sc8++wjTNIUQyeWJVq9eLQCIW2+9Ne44jzzyiAAg7rrrrpzObxiGGD9+vJg9e3ZcKRuv1yvGjh0rDjroILVt7dq1AoB49NFH+zxupvJEc+fOFQDEK6+8kvKxuXPnqu83b94sAIjx48eLQCCgtnd3d4uKigpx1FFHqW1FRUXisssuy3hd69atE1arVdxwww0Z92traxMWi0VceOGFcds3btwoAAgAor6+PuVzOzo6hNPpFAsWLMh4Dundd98VAMTDDz+c9Njtt98ubr/9drFmzRqxZs0acc011wi32y1mzpwpvF5vVseXotGomDBhgpg5c2af+6YrpS6EEHfeeaew2+0CgCgtLRVPPfWUEEKIo446Kun9SmfDhg0CgPjzn/+c9fUTERFResyUyY8Nh0wphBD33nuvWLp0qXj++efFq6++Kn7zm9+IiooKMW7cOLFjxw6139KlSwUA0dDQkHSMo48+WsyYMSPjeTJlykQ7duwQ48aNE/vss0+fy/6sWrUqZWnM5cuXCwBJ13X55ZeLadOmCb/fL4RIX0qemZKIiGh4Yq5Mfmy45Eppt912U+2TNTU14s0334x7/OabbxYARElJiTj55JPF6tWrxeOPPy7mzJkjnE6n+PDDDzMef6ByZaJMpdRTueaaawQAsWrVqrjtzJVEwxdnjBNRRna7HTfddBP++c9/4h//+EfKfeQIvPPPPz9u+6mnngqPx5NUsqcvn3/+Oerr63HOOefElbIpKirCt771Laxfvx5+vz+3F5KF8vJyHHHEEVnvv2jRIjidTvV9cXExTjzxRLz++uswDANAb9melStX4qabbsL69esRiUSSjjN37lxEo1Fcd911Gc9XUVGBb3/727j33nvx17/+Fe3t7fjoo4/w7W9/W5WDTFf654EHHkAwGMx6VnZ9fT2A1CWCfvKTn+AnP/kJ5s+fj/nz5+Omm27Cvffei88++wx/+9vfsjq+tHr1atTV1eHCCy/M6XmJLrnkErS3t+PTTz9FU1MTTjrpJNx333346KOPcNttt6G9vR3f/va3MWbMGEyfPh1/+ctfko4hX2tdXV2/roWIiIiSMVOmN9iZEuidKXT11Vfj2GOPxeGHH44rr7wSL7zwAlpaWnDrrbcm7a9pWsrjpNsuZcqUsdrb23HcccdBCIFHHnmkz3KWxx57LHbZZRdceeWVeOmll9DZ2YnVq1fj6quvhtVqjXv+e++9h2XLluGvf/0rXC5XxuMyUxIREQ1/zJXpDUWulB5//HG8++67ePTRR7HHHnvg2GOPxbp169TjpmkCACZOnIjHH38cCxYswKJFi7B69WpYLJaUGTTWQOXK/rj77ruxdOlSXH755Tj55JPjHmOuJBq+2DFORH0644wz8PWvfx3XXHNNyrDU1tYGXdcxZsyYuO2apqG6ujquFE825P41NTVJj40fPx6maaKjoyOnY2Yj1fkyqa6uTrktHA6jp6cHAPDII4/gvPPOw913363WAj/33HPR2NiY1zX++c9/xumnn47vf//7qKysxN57742ZM2fi+OOPh8PhSLmmDtBbRn3MmDFJIS2dQCAAAHFhOpOFCxfC4/Fg/fr12b2QmOuy2Ww499xzc3peKh6PBzNnzoTD4UBbWxsuv/xyLFu2DOXl5fjxj3+M9vZ2bNy4EQ8//DB+9rOfYe3atXHPl69VvnYiIiIqLGbK1IYiU6ay3377YcaMGXF5TmbLVO99e3s7KioqMh4zm0zZ0dGB+fPno66uDi+99BKmTZvW57Xa7Xa88MILmDx5Mo4++miUl5fjlFNOwdVXX43y8nJMmDBB7XvBBRdg0aJF2GeffdDZ2YnOzk61/FB3dze8Xm/csZkpiYiIhj/mytSGMlfOmjUL++23H0455RSsXr0atbW1+PGPf6wel7nyqKOOUhN8gN7XuNdee+GDDz7IePyBypX5WrFiBS6++GJ897vfxW233ZZyH+ZKouGJHeNE1CdN03DLLbfgyy+/xF133ZX0eGVlJaLRKFpaWuK2CyHQ2NiIqqqqnM4ng1JDQ0PSY/X19bBYLCgvL8/pmNnoa8ZLolSBsbGxEXa7HUVFRQCAqqoqLFu2DFu2bMHWrVtx880344knnkgasZotj8eD++67D62trfjwww/R1NSElStX4vPPP8dBBx0EXdeTnvOvf/0L//rXv3DuuefCZrNldR75b5bLuuFCiJxGYTY3N+PZZ5/FSSed1Odoz1xdfvnl+MY3voEzzzwTAPDCCy/g+9//PkpLS7Hvvvvi6KOPxvPPPx/3HPlac/15JSIiouwwU6Y2FJkyncQ8N3v2bADAf/7zn7j9otEoPvvsM+y5554Zj9dXpuzo6MBRRx2FzZs346WXXkpayzyTXXbZBe+88w527NiBjz76CM3NzTj11FPR2tqKww47TO33ySef4NFHH0V5ebn6uuWWWwAA06dPx6GHHpr2HMyUREREwxNzZWrDJVfquo6vf/3r+OKLL9S2TDkvmzbFgcyVuVqxYgUWL16M8847D3/5y1+y+ndiriQaPtgxTkRZOeqoozB//nzceOONaoShdOSRRwIA7r///rjtjz/+OHw+n3o8W7vtthsmTJiABx98EEIItd3n8+Hxxx/HgQceCLfbnfNrcDgcAAo3yu6JJ55Qs00AwOv14plnnsGhhx4aN/JRmjx5Mn7wgx9g/vz5fY6C7Et5eTnmzJmDqqoqPP300/j888/jRmHGWr58OQDkVK589913BwB8+eWXWe3/2GOPwe/344ADDsj6HPfeey8ikUi/y6gnWrt2LR599FHceeedapsQAj6fT33f09MT97MFAJs2bQIA7LHHHgW9HiIiIvoKM2WyocyUsdavX48NGzbE5bn9998fNTU1WLlyZdy+jz32GHp6erBo0aKMx8yUKWXj5aZNm7BmzRrsvffeeV33hAkTMHv2bLjdbtx2223weDxx+XLt2rVJX+eddx4AYNWqVbj77rtTHpeZkoiIaHhjrkw2XHJlMBjE+vXrscsuu6ht+++/PyZOnIg1a9aosu5A78CCDz/8sM82xcHIldlYuXIlFi9ejLPPPht33313Vp3izJVEw0vy1EIiojRuueUWfOMb30BzczNmzZqlts+fPx8LFizAlVdeie7ubhx88MH46KOPsGTJEuy9994455xz1L4yEG3cuDHteeS6Mt/+9rdxwgkn4OKLL0YoFMJtt92Gzs5O/OY3v8nr+uWMlrvuugvFxcVwOp2YOnVq2vLjfbFarZg/fz5++tOfwjRN3HLLLeju7sYNN9wAAOjq6sLhhx+Os846CzNnzkRxcTHef/99rF69Oq4R8bXXXsORRx6J6667rs+1ex5//HHU19dj9913RzAYxLp16/CHP/wB3/ve91KWSQ8Gg3jwwQdx0EEHqQCZjYkTJ2LatGlYv349fvSjH6ntW7duxVlnnYUzzjgDu+yyCzRNw2uvvYZly5Zh1qxZSWuY67qOuXPnply7afny5Zg0aRIWLFiQ9jpee+01NbrXMAxs3boVjz32GIDe9Y4SS2KFQiFcfPHFuP766zF16lS1fcGCBbjxxhtRUlKCDRs24JVXXsEVV1wR99z169fDarXGzTAiIiKiwmOmjDcUmXKvvfbC2Wefjd133x1OpxPvvfcebrvtNlRXV8dlJKvViltvvRXnnHMOLr74Ypx55pnYsGEDrrjiCsyfPx/HHHNMxvOky5SBQAALFizAv/71LyxbtgzRaDSuhLtca1FKlSlvvfVWVFdXY/LkyWhqasI//vEPrFq1Cvfdd19cKfV58+YlXZdc7/Lggw9OOQOHmZKIiGhkYK6MNxS58qCDDsJJJ52E3XffHaWlpdiyZQv+/Oc/48svv8STTz6p9rNYLPj973+P0047DSeffDIuueQS+Hw+/OpXv4LdbsdVV12V8TwDmSu3bt2K999/H8BXHe+y/XHKlCnYZ599AACPPvooLrzwQnzta1/DxRdfjPfeey/uGvfee2812EFiriQahgQRUYIVK1YIAOL9999Peuyss84SAMSsWbPitgcCAXHllVeK2tpaYbPZRE1NjbjkkktER0dH3H61tbWitrY2q+tYtWqV2H///YXT6RQej0cceeSR4q233orbZ+3atQKAePTRR7M65rJly8TUqVOF1WoVAMSKFSuEEELMnTs36TVJc+fOFXPnzlXfb968WQAQt9xyi7jhhhvExIkThd1uF3vvvbd48cUX1X7BYFB873vfE3PmzBElJSXC5XKJ3XbbTSxZskT4fL6k17BkyZI+r//JJ58UX/va14TH4xEul0vss88+Yvny5cI0zZT7P/DAAwKAuOeee/p+cxL88pe/FOXl5SIYDKpt7e3tYuHChWLKlCnC5XIJu90udt11V3HFFVeIzs7OpGMAiHvvpLfeeksAENddd13Ga5g7d64AkPJr7dq1Sftfe+21Yq+99hKRSCRue3NzszjllFNEaWmpmDRpkli2bFnScw899FBx4oknZrweIiIiyh4zZbzhlCnPOOMMscsuuwiPxyNsNpuora0V3/ve90R9fX3K/R988EExZ84cYbfbRXV1tfjRj34kvF5v32+USJ0p5WtP93XeeefFHSNVprzhhhvE9OnThcPhEGVlZeKYY44Rr7/+elbXtGTJEgFAtLS0pHycmZKIiGh4Ya6MN5xy5eWXXy722msvUVpaKnRdF9XV1WLhwoVJ74u0atUqse+++wqn0ylKS0vFSSedJD755JO+3ygxcLlS/nz19fzzzjsv47k2b96cdM3MlUTDjyZEQn0GIiLKaMuWLZg6dSpuu+02/OxnPxvqyxkw9fX1mDp1Ku69916cfvrpQ305A+rLL7/ErrvuihdffBHz588f6sshIiKinQAz5ejDTElERERDgbly9GGuJBo4XGOciIhSGj9+PC677DIsXboUpmkO9eUMqJtuuglHHnkkgyYRERFRgTFTEhEREVEhMFcSUSFwjXEiIkrr2muvhdvtRl1dHSZNmjTUlzMgotEopk+f3udaRkRERESUH2ZKIiIiIioE5koi6i+WUiciIiIiIiIiIiIiIiIiolGNpdSJiIiIiIiIiIiIiIiIiGhUY8c4ERERERERERERERERERGNalxjnIiIiIgoB6Zpor6+HsXFxdA0bagvh4iIiGhEEkLA6/Vi/PjxsFh2zrk7zJVERERE/ZdLrtypOsYZNomIiIj6b2dvxKyvr8ekSZOG+jKIiIiIRoXt27dj4sSJQ30ZQ4K5koiIiKhwssmVO1XHOMMmERERUeHsrI2YxcXFAHpff0lJyRBfDREREdHI1N3djUmTJqlstTNiriQiIiLqv1xy5U7VMc6wSURERNR/O3sjpqw8VFJSwkxJRERE1E87c1VH5koiIiKiwskmV+5UHeMMm0RERESFszM3YhIREREREREREdHIsvMtCklERERERERERERERERERDsVdowTEREREREREREREREREdGoxo5xIiIiIiIiIiIiIiIiIiIa1dgxTkREREREREREREREREREoxo7xomIiIiIiIiIiIiIiIiIaFRjxzgREREREREREREREREREY1q7BgnIiIiIiIiIiIiIiIiIqJRjR3jREREREREREREREREREQ0quXUMX799ddD07S4r+rq6rjHZ86cCY/Hg/Lychx11FF49913Mx4zEongxhtvxPTp0+F0OrHXXnth9erVOZ2XiIiIiEYW5koiIiIi6i9mSiIiIiLKhZ7rE2bNmoWXX35ZfW+1WtX/z5gxA3/84x8xbdo0BAIB/P73v8fRRx+NjRs3YsyYMSmPd+211+L+++/H3/72N8ycORMvvvgiFi5ciLfffht77713VuclIiIiopGHuZKIiIiI+ouZkoiIiIiylXPHuK7raUdAnnXWWXHf33777Vi+fDk++ugjHHnkkSmfc9999+Gaa67BcccdBwC45JJL8OKLL+J3v/sd7r///qzOm04oFEIoFFLfd3d35/R8IiIiIho4IyVXMlMSERERDV8jJVMCzJVEREREQy3nNcY3bNiA8ePHY+rUqTjjjDOwadOmlPuFw2HcddddKC0txV577ZX2eKFQCE6nM26by+XCm2++mdd5Y918880oLS1VX5MmTcriFRIRERHRYBgpuZKZkoiIiGj4GimZEmCuJCIiIhpqmhBCZLvzCy+8AL/fjxkzZqCpqQk33XQTPvvsM3zyySeorKwEADz77LM444wz4Pf7UVNTg1WrVmHfffdNe8yzzjoLH374IVatWoXp06fjlVdewcknnwzDMNQIymzOm0qqUZiTJk1CV1cXSkpKsn3ZRERERBSju7sbpaWl/cpUIylXMlMSERERFd7OlikB5koiIiKigZBLrsypYzyRz+fD9OnTccUVV+CnP/2p2tbQ0IDW1lb87W9/w6uvvop3330XY8eOTXmMlpYWXHTRRXjmmWegaRqmT5+Oo446CitWrIDf78/6vNkoROAmIiIi2tkNRKYaSbmSmZKIiIio/3b2TAkwVxIREREVQi6ZKudS6rE8Hg9mz56NDRs2xG3bZZddcMABB2D58uXQdR3Lly9Pe4wxY8Zg1apV8Pl82Lp1Kz777DMUFRVh6tSpOZ2XiIiIiEYu5koiIiIi6i9mSiIiIiLKpF8d46FQCJ9++ilqamrS7iOEiCsRlI7T6cSECRMQjUbx+OOP4+STT+7XeYmIiIho5GCuJCIiIqL+YqYkIiIiokxy6hj/2c9+htdeew2bN2/Gu+++i1NOOQXd3d0477zz4PP5cPXVV2P9+vXYunUrPvjgAyxevBg7duzAqaeeqo5x7rnn4qqrrlLfv/vuu3jiiSewadMmvPHGGzjmmGNgmiauuOKKrM5LRERERCMPcyURERER9RczJRERERHlQs9l5x07duDMM89Ea2srxowZgwMOOADr169HbW0tgsEgPvvsM/z9739Ha2srKisrse++++KNN97ArFmz1DG2bdsGi+Wr/vhgMIhrr70WmzZtQlFREY477jjcd999KCsry+q8RERERDTyMFcSERERUX8xUxIRERFRLjQhhBjqixgsuSy+TkRERKOTEAKGYUDXcxofSDF29ky1s79+IiIi6hWNRmGxWOI6VSl7zFR8D4iIiKhXNBplW2U/5JKpmNyJiIhopxGNRrF9+3bs2LFjqC+FiIiIiEawnp4ebNy4EV1dXUN9KUREREQ0Qgkh0NLSgi+++ALRaHSoL2enwOEHRERENGpEo1F0d3cjFAoB6A2Xsbq7uxGNRjF9+vShuDwiIiIiGgGEEPD7/fB6vTAMIylTmqaJ7u5uOJ3OuPLaRERERESxTNOE1+uFz+dLypRA7xIugUAAY8eO5YzxQcJ3mYiIiEa0cDiM7u5udHd3w+/397l/ZWUlXC7XIFwZEREREY0UQgj4fD6VK7OZsTNhwgRomjYIV0dEREREI4VhGPB6veju7obX603ZIR7L4XCgqqpqkK6O2DFOREREI45pmmhvb0dXVxcCgUDWz/N4PBg3btwAXhkRERERjSShUAgtLS1qdni2ampqONiSiIiIiJTu7m60t7ennR2eitVqxcSJE2GxcOXrwcKOcSIiIspICAFN0xCNRhEKhWC1WuF0Ovt1TNM08w58hmFg27Zt8Pl8OT3P5XKhtraWQZOIiIhoCMQ2DoZCIQSDQRQXF8NqtfbrmKZp5n2Mnp4ebNu2DaZp5vS86upqVFZW5nVOIiIiIuof2VZpGAZCoRAMw0BxcXG/jymEyKvdUK4T3tzcnPNzp0+fDrvdnvPzKH/sGCciItrJpeqkFkIgGo1i8+bN6nGLxYJgMAir1YqpU6fm1Tne1dWF5uZmCCHgdrsxbtw42Gy2rJ8fDoexdetWtYZ4LoqLi9kpTkRERDSADMNI6qQ2TRNdXV1oaGiA1WpFNBqFy+WC3++H2+3GlClTcs5oQgjU1dWpdb6LiopQVVWV03E6OztRV1eX9WyeWP1teCUiIiKi9NJ1UhuGgYaGBnR1dcFutyMcDsNiscAwDFRXV+dVjjwcDmP79u0IBoMoKipCRUVFTlnPNE3U19ejs7Mz53M7HA52ig8BdowTERHtxHp6elBXV4exY8dC13X4fD4EAgEEAoGUM2dsNhsikQi2bNmCqVOnwuFwZH2u7u5ubN++XX0fDodVw2hRURHcbnfGNRoDgQC2bt2a1XqPqfR3ljsRERERpWaaJpqbm9HR0YHJkycjGAzC7/fDNE14vd64/QCoPOf3+7F169acqvoIIbBjxw50dXWpYwSDQQSDQbhcLhQXF8PhcKTNlf2Z0QMAmqaxAZOIiIhogEQiEezYsQMWiwVVVVXw+Xzw+/0QQsRVj5STZhwOB/x+PxobG6FpWk5VfSKRCDZv3oxIJAIA8Hq9CIfD8Hq9cLvdKCoqgq6n70bNt6qlxGV5hgY7xomIiHZCQgg0Njaira0NANDe3q7W6rZarbDZbBBCQNd1RKNRWK1WBAIB1TEejUZV53g2DYOBQCCuU1zq6emB3++Hz+dDKBRCUVGRGi2paZo6VyQSgdfrzbnMZSx2jBMREREVXjgcxrZt2xAMBgEADQ0N6v/tdjvsdjt0XYdhGNA0DUIIhMNhNcvH5/Nhx44dWa2tGI1G0dHRoTrFJdM00d3djUAggK6uLhiGAY/HA7vdDpvNBtM0VaYMh8Pw+/15v16n05lxMCcRERER5ae7uxs7duxQ7X+xAywdDgdsNhtsNhsCgYCqQCQ7tYHeHGqxWFBeXt7nuYLBIJqamuKeD/R2uIdCIQQCATQ2NsJms8HtdsNut6vqRzJXJp4/V2yrHBrsGCciItpJtbe3A+gNYbGzsB0OB8LhMDRNU42GbrcbLpcLhmGoznKbzYYvv/wSkydPhsfjiTu2EAKRSASRSAQ9PT1oaWlJex2macLv98NmsyEcDqOrqwsul0t11BeC7OyPvb581w0iIiIioq/I2dpAb2aM7XSORqPQdR2BQECVLHe73XGdy+FwGKFQCJs3b8bkyZOTMpthGAiHw4hEImhra8vYqS3zp9PphN/vh9frhc1mU9dXCIkzewzDgMViYWc5ERERUT91dXXBNE3oug5d11WGczgcCIVCanY40JshbTYbDMNQAyGtVisaGhoQDocxduzYuHwml40Mh8MIh8NoaGjIOAFHtkva7XZ0dHRA13XV3lkosR3jQgj1GmhgsWOciIhoJ6RpmhrlKENXbLCL7SiXIzAtFgusVqsqISSD6JYtW1BVVaUaLOVXvtclZ6sXktPphBACTU1Nana6xWJBdXU1SktL2ZBJRERElKfYxrtoNBrXOW6z2VSZSwCqwzp2jXHDMNQ+X375JcrKyhAIBFSmzDUXapoGTdNgsVgQDodzWvonG06nE4FAAM3NzQgGg4hEInC5XKipqYHb7S7ouYiIiIh2JrLNUQ6OlJUrZTujzIyxFYFk9pQTeUzTREtLi6p8GQqF8m6rlDlXHqfQE2wcDgc6OjrQ2dmJYDAIwzBQUVGhlrykgcF3loiIaCfU0NAAXddVgyHQ2wEeDAaTRksGAgHY7XYVIIPBYFw4k+s0Js4QyoYsgZTYoR47U6gQ7HY7NmzYEBeCTdPEjh07EAqFMG7cOLVdhm8GUCIiIqLMhBCor6+HzWaDxWJBKBRCNBqFxWJRGU+SFYHcbrdqqDQMA4ZhqH2i0Sja2tpUmfVsaZqmZtwEg8G4ykOFnNVjsVgQDAZRX18ftz0QCGDTpk2YNm1aXOe4YRhqeSIiIiIiSq+npwfBYFBNmJGDD2OrAUmyIpHNZlOTe+x2e9w+PT09cDgciEQiOS3NaLVa4XA4YJomgsFg3IDPQuZKl8uFuro69PT0xG1vb29HT08Pdt11VzWRR852t1qtrH5ZAEzmREREO6FQKIRgMBi3Prhcn0fOsJEl1mWJITkaE+gNm7GzygGoWT99dY7LdSb7O7u8L7ENpB0dHWn3a2trQ1VVFSKRCOrr61WZppkzZzJsEhEREWVgmqaauSM7hE3TVGuJ67qu1hOXDXt+v18tcyOX04nNg0IIhEIhOJ3OjCXQY7NeIBBIuwxPLg2h6cQO5pTLEaXS2tqKyZMno62tDa2trYhEIigpKcHkyZP7fQ1EREREo1k4HIbP5wPw1YSZQCAAp9Opql1aLBZEIhHVJmmaJkzTVB3giUKhEOx2e9JgzESyM1xWMkrVtlmoNkKHwwGr1Rq31FCicDiM7u5uFBcXq85zwzAwadIklJaWFuQ6dmZs7SUiItoJyQCZWELcarXC7/fDNM2kNbgjkQgMw4DH44FhGEllKe12O0zTTFp3MZbT6UQ4HIbf78/YId6fUuqapsHtdsNisWRsJJVM00RbWxu2b9+uXrtpmmhsbCx4SXciIiKi0SRxoKQUu3440JsxYzuoDcNAMBiE2+2GrutJaym63W5VGjMV2dGeTdbrTyUiu90Ol8ulMnJfAzq7u7vR0dGBhoYGtW93dze6u7vzvgYiIiKinUFsx3Vse5ysSiQ7t2XnuHyOEEJ1mie2ScolIWU1o1Tk0j5+vz9uCaBEmR7LhsvlUhnW7/f32ebY2tqKpqYmdHV1qfemqalpwCYY7UzYMU5ERLQTcjgcan0ct9utZtvENm7KcClnkUsyuIVCIbhcLjgcDtXhLUtXOp3OpJGUslR7NtI1smZisVjgdrtVwDQMI+u1w5ubm5MCbnt7OzZv3oyuri52kBMRERGlIQckhsNhlStN00xaeidxYKVpmqqhU9M0OBwOuN1u1QkdjUZVRaJYuq7DMIysZ4LnM7vHbrerfNtXx3uiurq6pG3btm2LG4TJbElEREQUT9M01bFts9ngcrmg67qqNgT0Zko5cDE2a4ZCITUL2+VywWazxXV4y8k+iZN8XC5XTstCxlbezJa8nkAggHA4nHU2DQQCaGtri9sWDoexceNGNDc3IxKJMFPmiaXUiYiIdjJynZ5IJAK325000lB2LseWwYztOJclLwGkbSgMBoNqHUl5zFyCZiQSUefuiyz7HggEks5htVrz6mSX/H6/OqamaeqrrKwM1dXVWXe8ExEREY1GFosFfr8fmqbBbrcjGAzC6XSqzOR0OiGEgKZpqhR5UVERDMNAOBxWaz6appk2s/n9fpUrrVYrNE3LKd/lUkrd4XBA07SkwZyFKMfe1dWFrq4u9b1cvmj8+PEsiUlEREQ7PVkNKLbN0WazweFwQNd1Vepc5kwhBNxut1oLXJJtkYntnaZpqo5p0zRVW2Iu5DJB2XC5XIhGozmfoy+GYaC5uRnNzc0AvmqvdDgcmDRpUl6d9zsbdowTERHtRCKRCOrq6lRnr/yv2+2GEALhcBimacJms6kZPABU4IwdcdmXQCCg1s3JpVNcstvtGcsUyfV/UnWIx+7Tn47xWEII1VHf1taGcDiMiRMnqnPEjlQlIiIiGu28Xi927NgBoDcnyQ5y2SEu14h0uVwIh8MwDAMulws9PT0AoAZoZjOAMhwOw2q1wmq1Zt0YGfvcvqTrEJcK0TGeSM6i3759O8LhMKqqqgD0DkTtT/l3IiIiopFECIHm5ma0tLQAgJrMY7PZVFubz+dTM8plboz9f4/HA5/PpwZiZjqXy+VSa4kPBLfbnVfVoXzJ9spAIIBNmzZh8uTJasCALDNP8diCS0REtBMIh8Nob2+PmwEdKzZURqNRFSKdTqea+RMIBNRsHqvVGjcjPJ18O8Xlc9NtdzgcaV9LrIGc0e31erFp0yY4nU50d3djxowZbMQkIiKiUU0IgZ6eHrS1tcE0zaTBkkII1SHudrvVMju6rsNmsyEYDKoBl7KUupz5k6lSkGEYKpfmSpZ1TzVYUs5o76thNJtBof3R1NQEv9+vBgBMmzZtQM9HRERENNRM00RHRwc6OztT5rTYDnLZBimX2Ukc+ChngMeuP55OKBSKm/ySi0yTb+R15dsOWgjRaBSbN29GWVkZuru7MXbsWFRWVg7Z9QxX7BgnIiIahXp6etDS0hI3alDyeDwwDCNlw2Ji6fNgMAi32622ywZMuWYPgLQd5Lqu92t0ZLqAKjvFs5HPmpK5CIVCqiG1qakJZWVlap1NIiIiotGgoaEBfr9fzXCObWz0eDyIRqMpO5blDHKHw4FQKASLxZK0jqN8nhycGVuxKFauy/IkstlsKRsyZUnNvggh1OsYKF6vV/1/a2urWq+duZKIiIhGA9M0sWXLFtVWKatWAr1VI+WgysRKPbKD3G63q45nueSjJMuwx5YVj0ajKfOfrut5Z7pwOJxyQKfNZss6q8qqk4WqcJlICIGOjg4AQHt7O6xWK9xuN2w2G5eE/B92jBMREY0y7e3taG1tTdvIJ9fesVqtaUdSyhAqS1zKwCdL8EQiEdU5HggEUjZW2u32vBowLRYL7HZ7QcKa3++PK7mez2jQbHV2dqKzsxNA7+wjj8eDyspK2O32uFlRDKFEREQ0EhiGgcbGRnR2dqbNUKZpIhQKqYbKRDI7WiyWpMo6sQ2Lcskev9+fdKy+SmJmYrfboet6QWZ8h0Ih2Gy2nBo+89XY2AgAqmRoUVERqqqq1JqYhmGwUhERERGNGD6fT1XISSUcDqv8l25ApMyOcunF2CUNY9st3W43QqFQykqULpcrrwpEANRykcFgsF/ti/J1ypLuuS4TlItQKKSWPtJ1HW63G2VlZSgpKQHwVVWkna3cOjvGiYiIRhld19UajKkaAeWIRMMwYLfbVVki2WhpGIYqlR5bYj0SicStveh0OqFpWtqgmU2DoQy0VqsVQghEIhFEo9GMITXX8GkYhiq1NFjljILBIILBIDo6OqDruhpcYLPZUF5ejvLycjZmEhER0bAmM16mXCcH/MmGSqA3I8rOcrmPHKQIQFUjcjqd6rgWi0VlvNj8qmkaotFoVvlPrkOpaZpqZIxtZM30GrMVW9Iz3876XMi12/1+P9ra2gB89f44nU5UVFSgtLR0p2vMJCIiopHF5XKpcufp2vzk4Eg5WcdqtarJJjIrRqNRhMNhlQ3lhB3Z1imzoN1uT5p5ns2SkJLsBAegzplplnk2SwMlCgQCg9o2GI1G0d3dje7ubtjtdkSjUZimCU3TUFJSgvLycng8np1iQg87xomIiEYZuZZjbKNjbPCLRCKqk1iGRdngGNtpHtvAJp8vy7DL80ixwc/pdKZtgHS73Wp/uZZ5ruWLYmeq52IgR2Cmk1ieMxKJoLm5Gc3NzSguLlZBe8yYMYN+bURERER98fv9CIVC8Hg8qjxlbMe13+9XJcblYEdZsUdmRbfbHdfAJh+XEjve5bI5FoslrvM8kcvlgqZpKm/JTutchMNhNQs7F4PVMR4rccBrMBhEfX09GhoaUFpaCiEEysvLUVRUNKjXRURERNSXcDisqlc6HA61TGMii8WiltfRdR3BYFDlPaA3J8oJKPLL4XCo5+u6Dp/PBwCqrLoQQg3YTEVmWJlzY5dNzJZpmnm1VcrrH8jlelKJbasUQqCrqwtdXV2w2+0oLi5GOBxGbW3toF7TYGLHOBER0SjT3d0NAKospVwnPHadHjmDWgihAmZsg6BhGIhGo2qGD4C4EZkyoMogFVtOPbHBVO5fyLKT4XA47Yz4dKLRaMaRqYPN6/XC6/WitLR0qC+FiIiIKEkwGFSNdHJZGF3X4fF4VIMj0JvLZPUhKTGjyY5u2fBntVrjsmdsrpMDO+Vgz0ROp1Mt69NfhmHklQ/lIIGBXKYnW0IItZwPcyURERENR7Kt0jAMlSsdDkdcZcpwOKwqD8XuG5u3NE1T1XtkO6PsTAd62x8l2SEuO9pTZcdCVpdMt9RkX2KveaiFw2FVpWg0Gz7vOBEREfVbKBRSgdIwDDgcDlWCEeidWSPJbalmu7hcLlXeXB7PNE3VuSyEQDgcVjPA5fFkyaJU5RwLOfox33UVo9FoxlGiRERERNRLNmACvQ2Luq6rkos2m00NnpQNltFoNKkhUGZD4KssqWmaKr0uKxyZpqkymsyfuq6rBtNYcumfQpGDSHMhhFCznYiIiIgos66uLvX/MkOGQiFomqaqAAG9uczpdMZ1dsc+T7Y3yrZMTdNUSXJZdSi23U9O6JHLGybKtWpQXwKBQNza59k+J9csSv3DBE9ERDSKxAbNxPVv5NqOTqczLgza7XYVGt1uN3RdV2UxE4XDYfWYzWZLagy02+3QNA02mw1ut1udxzTNgjccBoPBlNeYSbZrVBIRERHt7GJzZewaiLKBMRQKqbwXjUah6zqcTieA3g5xt9uNaDQKn88XlwNlA2QgEFADK2M70AGoWUCysdTtdqtjFLoBU15LrmTDLRERERGll1iaXC6RCPR2WAcCAVgsFrhcLtUh7nA4VGexw+FQM8kTB0fKNj45ONNisSRN1pEDLQ3DgNvtjstvhW6rTNcB35fEDn0aWCylTkRENIrEzuyRNE2D0+lUIy3lDPDYtW80TVMd4pIMl7LkeuL6i5FIBFarVa0PBPQ2VMrtsetKAr2d0oVe5zvVzPS+JM46GmqcaURERETDTaq1FWU2lIMtga8aITVNU/8vZ5bL7Gmz2VTJTJvNBl3X4zqiZQOoXGNR5rtQKASbzYZQKKQy6EDNpkmVdUci5koiIiIabmIHW8ayWCwqXxqGEbecjpwRLrOgJNv05DI8setzJy4TKXOjEAKhUAgul0vlVbvdnjQws1DyzZPDaSJPPu2tIwkTMxER0SgRiURgsVjgdrtV+NN1Xa0jHolEVOCTZSslWf4S6A2HsqNbrk0eCASSZmfLcuuGYSAUCiEQCCAYDMIwDLXWJNDbYCrX/Cm0fEJjYimmoRZb3p6IiIhoOPD5fCpTyqwis5zMUjJXyqV7pNis5Xa7oWmaGqjp9/uT1vMWQsDpdMJut6uGTb/fD8MwVEl1ye/3F2Rt8USxDbO5GE4NmABzJREREQ0/sspQYgUgq9WqyqkDvW2YiTlRdpBbLBY101tWsAyFQnFtjZqmwW63q0k8fr8fpmkiEAioZSZle6msiDkQWS7f9s9cS7APpNFeFWn4vNNERETUL5FIRI18tFqtauSjnC0uGyXluoyyRJGcwSPXV0xcj1yOdAwGgygqKkI0GlXli+Q+shxR7EyhSCQCl8sF0zRV53whWa3WvBpGTdOMu9ahNtrDJhEREY08oVBIZSWPx6M6td1uN0KhEJxOJwKBgJpNIgdMmqap1g+Xs8hl3pT7ytnZskM9dlYQAFVeXXaw67quZgRFIpGkGeeFIF9fruQ6ksNh4KXNZhv1s3uIiIho5PH5fCoryfXE5QScSCSicqVsw7RYLNA0TXVmu1wuhEIhBINBuFwuGIYRtzSPnMgjhEA4HFaTeFKJRqOqLTMcDg/IJJ58Z4wPp8pFo32wJTvGiYiIRonYMuU2m011dMuRkQBU2SAZEGXJSIvFApvNFtcgKEOp3MfpdKKnp0c9HltGE4gPcDLwxs4eL3THuMPhyLtzu9Al3fuDHeNEREQ03MRmJdM0kwZBxpa6lLlSPm6z2eI6uhMzI9BboSh2W+wSP/JxmSdlVpUd5nK989hz9Fd/OrZjr3UojfYGTCIiIhp5TNOMy0lyqZzYJRjloMpIJKLyncyZiZlRHlNmR03T4kqtW63WuIwYDAbjOsrlrGyZWROXDuovXdfzPmYoFIorDT+URntbJUupExERjRIejwfl5eUAeoOfxWJBMBhUJYY8Hk9cmLRarSroyLXBE4/ncrni1vuRozDlbPNYsR3jmqbB5XKpY0YikYKXJ+pPY2g0GoXdbi/g1eTH4XBwLUgiIiIadsaMGYOioiIAUDO6w+EwdF2HxWKB3W6PK3UZ2zmcmNHkTKDYLCiPAUDNAspEDrCU5yjkzGiHw9GvQZPDofESGP0NmERERDTyaJqG8ePHq+UWAagS6FarNW4dcMnlcsV1mseSS0jKvCmEUCXaZUWixAGLieXW5TFjO+ILpb9tjcOl+s9oH3DJllgiIqIh1NPTg9bW1oKsa2Oz2TBhwgRMnToVQG9HtSxnKdfeiT2H3W5PO+Pa4XDA5/PFXVc4HFbhNRAIxAXNxA5e+RybzabWpizkjHFZbqk/hkPY7CtohkIheL3eYbd+JREREQ0vQgi0tLSgra0NwWCw39nB7XZjypQpqKqqUseKRqOIRqMpO5KtVmvazmXZiR7bgez3+9XsIDn7HOhtrHS73XHHkg2jTqdTrU9ZyFKT/c2E6Up1Dra+cmVXV9eArM9OREREo0skEkFTUxO6u7v7XRVH0zRUVFRg1113hcPhUBkuHA7DMAwIIZKyVOI647Hkcj+x1yXXEpel12XntK7rcLvdcfvK/Ckzpcfj6dfrS5Tp2rMxHNr/YgewpiKEQHt7+7DJwPlgKXUiIqIhIBsvm5ub1TaLxQKXywWPx6Nma+czm9jj8aCqqgqtra1wu91qjR0ZWGw2W1LZ9ESZGghliI1EIrBaraqkuaZpcDgcan1J2SgrQ6csV9RfsrR7fxW6tHs++prZ09jYCK/XC5vNhoqKCpSXlxfsfSQiIqLRIRKJYPv27XHZTs7A8Xg8/RqkOHbsWPT09Kh1xU3TTCqBbhhGxg7XTA2qsvFPlrM0DEP9v5xBJGerx56zULN78l1bPFGhS7vnI1OujEQi2LFjB4QQcLlcqKioQGlpKSsXERERUZyenh5s3749rtPT4XCoTOnxeOJmf2fLYrFg4sSJ+PLLL9Vgvmg0qjKkrDwZCoXSdrj2lbdiJ/Z4PB61trlsq4xtH5XHkXmzEGKXHcrXcOhsdjqdGT83dHZ2or6+Hg0NDSgtLUVFRUVB38fBwJZVIiKiQRaNRrFjx4649bqB3g5nn88Hn88H4KtQKIOnpmkwDCPuSwgBu90e96VpmmrElGt82+12VQbd7/fn3XAnQ6icqSODklwDxzTNlOUk5drm/WW1WtX66aNBpg8Tfr8fXq8XwFejdZubmzF27FiMGTNmsC6RiIiIhrFUjZdAb6Oa1+tVWUKWnZSd5HJ2jmEYiEajMAxDzQ6RuVEuxzNx4kRs3boVgUAAuq6rwZvhcDirGcipOsY1TYPValWDJ4UQsFgs0HUd4XAYkUgk7UBOmYH7K3Fd8/5IXM9yKGQaPNnS0qLes0AggLq6OjQ2NmLy5MkFnylFREREI0+qCTxSKBRCKBRCe3s7gN62LNlRbrfbk9oqDcOArutwOBwqV1qtVrhcLowbNw5er1fN7Ha5XLBarfD7/X22G6bLW7quwzAM1eEuc7HT6VQd7ZqmJbUl9jVpKBeyI76/hjpPApnbKk3TVD8jQgh0dnais7MTHo8HkydPHhbVObPBjnEiIqJBFA6HsXnz5qyCjiwB5Pf70dramtXxNU2DzWaDruuqI10IgVAoBE3T4hoRdV1PO4Mn3fVZLBZomoZQKKQ6qGOPmW70ZiHWXpTrBBVqZstwGIWZrgFTCIHGxsaU25uamgCAneNEREQ7uY6ODtTV1WW1r2ma6OnpSRqYmYmmafB4PKrTXNM0VU49dm1HIH0GtNvtKUusW61WlYMCgUDSDBt5rkROp7MgAyTl+eTgzv4a6pnXMvunEg6H0dHRkbTdMAxs3boVU6ZMGXGzfIiIiKhwhBDYvn07uru7s9o/EomoDtFsWa1WFBUVIRwOq4wnM6KsSgT0ZkCLxZKyzS5d3rLb7XEDAHVdj+uk1nU9Zd4rRMUfObC0UBN45GDRQi4blKtMndvt7e0p3zOfz4etW7eitrZ2RHSOs2OciIhokAghsGPHjgEd/SfLAgFIaoS02WyIRqMwTVOVEHI4HHHPATKX/rFYLHA6nQgEAqpEpxACQggEAgE14lN2nvd1vGzFzujx+/2wWq397tgeDh3jsWExFAohGAzCNE10dnZmfM+amprgdDpRXFw8GJdJREREw0wwGER9ff2AnkMOrsw0YNI0TZXT3G53UvnLdDO7ZSZ1OBywWCyqs10+Fg6HVdWj2JxaiJnihSqfPpwkNkB2d3dDCIFgMIiOjo6075tpmtiyZQtmzpw55J37RERENDRaW1uz7hTPlyxfnqpaT2xOkYMWE9sS7XZ72vxmmqYayGm1WlWlJKA3MweDQei6HncMOUu9P+QgT9kpXoj2T6C3/bYQAzfzFTuJR84Kt1gs6O7uzvhz4vf70dDQgIkTJw7GZfYLO8aJiIgGSXNz86A1wqUanScbFeVjsrwR0Bve5KjKdNcoR23KUYsWiyVuBKYMr+FwWJVtl8ftj9hO9thz9fe9zLTe5WCJDZvt7e1oa2vLuL9cH17XdTZeEhER7aRM08T27dsL0kncl3Sd4jKH6boeN3hRNkT6/f6MjYNyzXN5/MR1xOVzZVbVNE0NzuyPxBnnoVAo7az2XAzGv0UmsdlfCIH6+vqMWVe+n7quZyzBTkRERKNbIBBQlQkHWrpZ0LLNL3bpRDnxBkie+JNItpH5/f6kpXJkZc1IJKKOJ2eY93fCjM1miztXoSZCDXV7X2yu9Pv9fVaoslqtcDgc0HUdTqdzoC+vIJh+iYiIBkkh1prJVrpSikDqmdIyPMY2UCZyOBzw+XxqrZnEBsDY4GS1Wgu2vk6q9ckDgUBBSgsVomxSf8S+Z+lKm9rtdpSWlqK0tHTEBEwiIiIaOKZpDuoskkx5KbHz1TRNlSvTNWI+83kPjt0V0C1QJdkTO9FlxjNNE263G9FotGDrgScqRLnHoa5EFNu5HQqF0naKFxcXo7S0FMXFxSOizCURERENrMGsotNXG15i3pRZMtPSN263W7Wn2e12VeFSZjOLxaKOG41G4fF44Pf7+z2o0Wq1JmXTSCSS1DGfj0xtuoMhNlema6u0Wq0oKSlBaWkpPB7PkF9zrtgxTkRENEgKMcs5W/kGvFTPc7vdCIfDCAaDKozKTnS73Q6r1QpN01QpzWg0qmYJ9Ve68kFCiJQd5pnouq6uVX71d3ZQf8i1OoHesB/7OnVdR2lpKcrKyuB0OkdcwCQiIqKBY7VaC7KsTLbyGUQYDoeTrs9iseC6V5rxzzof7v1XO353/GRMsQThcrlUBpXL9MTOPA+HwwWZOZNuBnsgEMhpsKSceSSzXGyeGyqxndxerzfuMY/Hg9LSUpSUlHB2OBEREcWRFR8HQz6D8lwuV8rt8rpltpOTeGRbZCAQUMtHyv/KTvP+klkwVRbPNZ9bLBbYbLa4tsqhXF8cSD+Jx2KxqEGWRUVFQz6zvT+YiImIiAaJy+VCR0fHgJ9H1/W8ZhFZLJakEpbhcDiuAVGGo2AwqMIlED/C1Ol0FmStHrvdrtafTCUUCkHTtIyDAOQaQpFIBJFIZFiUT5dSjcB0uVyorq6G2+1mZzgRERGlpGkaXC5X2hkchZTPWol2ux02m01VDtJ1HVHoWPz4l6j39maxQFQgHI3Abi9Ws2pk9ozNa263G8FgsN8Zrq/Xoet6nx3jTqcTFosFgUBgSDvBU0mVK6uqqlBZWakaiomIiIgSyckYg7EsTD4dvhaLJe7anE4nhBBx7Z5yqRyZ92RWjs1+mqYVZA1wOUkodmmeWOFwOGnpnlSvyeFwqCpQQ7meeCqy7VdWbNI0DRMmTEBJScmI7gyPxY5xIiKiQVJWVobW1tYBbUiTM1fyCZs+nw+6rqfsEAe+GnUZW8IoVXjLFP6ypWlaxk5xoHcUZjaNnINZFioXcqZXOBxGV1cXLBYLJk2apNY8IiIiIkpn3LhxA94x7nQ688pRVqsVkUhEDVDc1NSFy15oRE/4q1xns2rYvbo4rsM71bkKkeOyeR2BQKC3Az9NB7zFYilIxh0oFosFoVBIZfiioiKMGzeOAy2JiIgoI13XUVlZidbW1gE9T76d0oZhqI5kILnNUVbxie2MFkIknSvVtnw4nc4+S6X3Ncgg34w9WGTu7e7uBgDU1NSgrKxsaC+qwNgxTkRENEgsFgtqamqwdevWATm+7NDOp9ylLB8p14VMJGfHDMYIUqA3RGZzrr4GGQzW9eYjEAjg008/Vd+PHz+eneJERESUFZfLhYqKCrS3tw/Y8fNdHzF2uZp/7fDil682I/q/PvEDJ7nwzvYAppfbEQkNTkdztp3DslrRSNTU1ISmpiYAvbl9woQJ7BQnIiKirIwdOxadnZ0DkoNkx3W+HcFyVnW69r1CVKwstFAolHFd9OFuw4YN6v+LiopQXl4+hFczMEbHvHciIqIRori4GB6PZ0COLYTIO8TK8ovpZmjLUkWDKZvyPNFoNO16Q0D2DaHDwUD9XBAREdHoNHbs2AE7dr6d4sBXAxNf2ODF1S/3dopbNODKQ6tQ5e7NnDOqBm8wYLaVlPx+f9p1J4fzYMtEspQ9ERERUTYsFsuA5cp8l3uUIpFI2hzmcDgGvaJPtu2MI6k9MpPRutQjO8aJiIgGWT5lzgeaLMGeiq7r/WoczVe6hslEAzWiNXatxoHmdrs5W5yIiIhyMhwzJdCbK//6fjv+9G47BAC7VcPtx1Tj0FoPNnb0VjaaUekYtOvJ5X2SZToT9adj3OFwDOp6jBUVFYN2LiIiIhodhmOutNlsI3awXzAYTNvOl2+ujC0pPxg0TRuVs8UBllInIiIaVEKIAVtjvD8NdsFgEFarFVarNWkkp91uH5KyRHJ9yr5EIpG05T7zHdVos9ng9/tVCBdCwDRN9WUYRl7HTae6ujruWg3DQEdHB4qLi+FwOFRp+cFsVCUiIqLhbaAypcViybtx1OFw4KdPb8K/Gnpn75Q5LfjjCTUoc+qImsCG1t7tuw3ijPFcclsgEOjX6093ftM0Ybfboeu6ypXyv4ZhFGxGusPhSGrADAaD6OzsRHV1tbqeTINiiYiIaOczHMt+y4k6qdYn78+yP4Ml2wk/2bLZbAiFQrBYLLDb7SqzxmbKQmbYysrKuIEJQgh0d3fDNE2VNw3DKPjrHAzsGCciIhpEhmEUvFNVymdtcQBxATMajcZ9LzuIh0IujXXpgp+madA0La/GRofDoTrnU723qYJ5PkpKSuB2uwH0vv9tbW1oa2uDEAIVFRUQQqChoQHd3d3YZZddBnUmOxEREQ1fA9WAKRvdcuUPm/juU5tR7+3NTdMr7Ph/J06GMHq/bwhoiJpAsd2C6qLByzO5NBAKIeByuVJmvHwbYGWHuMViQSgUSvlZoFDrUI4dO1ZlX7/fj5aWFvT09KC0tBRAb9b88ssv4Xa7MWnSpH6fj4iIiEaHgcqV+Q7Ei61e6ff74XQ6EQ6HVa4bqLbVvuTSvhgIBGCz2ZLaFA3DSLk9G7L90DTNlHlV1/WCVNa0WCwYM2aMOldXVxdaWloQDocxefJkAIDX68W2bdswceJElTVHCrasEhERDaJCBE2r1Qq73Q7DMNRMIbvdnvesocTn+f1+uFwuBINB6Lqed4d7f+USnkOhEJxOZ9LaQn6/H5qm5Rw4NU2L+7eSM8cNwyj4h4VIJIIdO3bANE14vV4VsmXjqd/vR3t7OyorK9kpTkREREohMonT6VTHkhkkn1kfjd4ILnuhET3h3sbKw2rduOLQMRBGBG63G6FQCB/VdQLoXV98sGcrW63WrBtQg8FgyoGVgUAg78wdm1FlR3k0Gi34rP/Ozk50dXUhHA7HnTMSiSAajWLbtm2IRCKorKws6HmJiIhoZCtErpSdtrEdtvlmHbvdHtfBK9sobTYbLBbLkM0Wz3VGdqr2SPme5DrhRtM0mKapMp6maXFZXla5LARN01BfX68GW8b+W4RCIQSDQWzfvh02mw3FxcUFOedgYusqERHRIOpvmUS3241AIIBAIKBKnxuGAV3X8wqb6UKYPP5QliXSNA0ulwtAbwDO970TQuQ9ElOKnTUu1/QpVFlz+e+ZyDRNbNq0CUII2O12jBs3riDnIyIiotGhP7lS13Xouq4a1mJnQ+eamT5sDGDJq82I/q8d7ttzSnHmnDL1uN/vh9VqxeetvQ2ug7m+OPBVdjNNExaLpc8GSNM002bkcDicc6n1xEEA4XBY5XZd12G32wtWSt3r9abc7vf78fnnn0MIgaqqKtVwTURERNRfTqcThmGo7CRzZb5tcenaI6PRKKLR6JAuMyjbKmX58r7aYv1+f9pZ3LnOepfLLMZ+H/s+ycqXhahuaRgGurq6Uj7W1NSElpYWmKaJCRMmjMhlH9kxTkRENIjynfGbGDKB3pBit/fOuMk39GQKcENVlgjo7bD3+Xzq+2xKVwaDwbRlKOU65FJ/ZimZpolAIBB3vIEiA+9IDZpEREQ0cGLX/MuWbMxLnPkh128EkFOufP7zbvz5/Q4IABYNuOKQKhxS60nazzAMfKE6xgdvfXGLxZK0NFA2uTJTRpYzlWJlypaZOr1lA+9g5Uq73Y6xY8cO+LmIiIhoZNF1Ped2wMSBllIgEFATSvLpGHc4HBnzaCHX0c6FbHOMrbKUTenyxNnvUjgczrmtMtPM/sFcJ940TVRWVsLjSc79IwE7xomIiAZRPh3jmRrvwuFw3p28hVrLsNDsdntSAJaNtYFAIGPjYrr3It064enouq4ah9Ods1Aze/pSUVExYoMm0WgjhBj08r9EROnkmittNpsqh5iKXIImW395rx3PftE7Q9mha7ht/jhMSzMb3Bc2saO7t0FwRtXgzRh3Op0pc2VfneOyszrVPrnmZ4fDAbfbnTSrZyhwsCXR8MFcSUTDia7rOWUcmZPSdQqHQqG873HDsa0S6O0Mjm0LlGuF9zUz3u/3p6w4lE82lG2VmZbkSbUkUKHZbLYRXdmSaZh2Ck1NTeomHY1GB60zg4gokdVqzTkY9nXP6k+J8eEo3bqWsvyQw5G+MTUYDOY1eypRNBqF3+/vsyN+MJSVlQ3p+YnoK+FwGM3NzaqEWTgcHvJ7BBHtvHLtGDcMo88ZLdnc00zTxDUvN6pO8XKXBQ+esUvaTnEA2NDW28A5rkhHqTP3NczzoWla2sZG2TmeKTf29V5lKxQK9TkLfzA6x2w2GwdbEg0jnZ2dqkqaaZpDWrGNiCjfCpeZ5PtZeTgOGnK5XCk7v+VEHLfbnXHwoVwLvL/8fr9apiidwXj/SkpKRvRgS84Yp1FL3ng1TYNpmtiwYQMqKirQ1tYGAKipqUF5eflQXiIR7YQ0TYOu6/1a73o003U942hJ+b5pmqbKMoXD4biGy1QjNdOtE5mJLGeU7noGqzNsOH4gINrZyBk9drsd7e3t8Hq9sNvt6Orqgs1mw5QpUzIO2iEiGgi5NmBmWjs7W/6wiR8/34CGnt7stUuFHbcePQ5lbh1+f/ry41+09T42mGXUZcn4dGTGk2uQJy5PJJfiic2Cct9cZvfY7XZYLBZ2ehERgK9ypcPhwKZNm1BRUQGfz4dQKISSkhJMmjSJnwGJaNDlOskkEAiknAVdCMPxHtjX65QZ0m63q7L0sTPfA4FA0kxuuWxmLm3EsgpRYvn6WIPx/g3Hf6NcsGOcRjS/349QKASfz4doNIqqqioEg0E1cmb8+PEoKSlBUVER2tra0NLSop5bX1+vSppJ8iZUiNmGRETp5NoxHgwGs1qzJlfDcZZjunV3EsWGQLl2pHxP/X5/3L0dyH299FwbPIloZDNNEz09PQgGg/D5fHA4HPB4PCpTRiIR7LrrrrBarSgqKkJnZ6e6R0QiEWzbtg3Tpk2LG7Xt8/ngdrtH/AdGIhq+8vnc2p/O2QZvBD9+vgH+SG+GPGyKG1ccMiar5361vvjgDSLKtE54LNM01T09cakh2Tku7+WmaeZ8X9d1vV+DEYhoZAmFQnFtkxUVFWoZC7/fD5fLhUmTJsHlcsFisaC9vV09t7u7G42NjaipqVHbZKndxM+4RESFlM+M8VRL1hTCcPsMnctSlOFwWGXQ2AGpQgg4HI64NoN8ys2HQqE+8/xwe/+GI3aM04jW1taGrq4u9X1PT0/c401NTWkbC4QQ2LJlC8rKylBaWgqXy4XGxkYIIdRonWg0CsMwYBgGhBCYPn06byxE1G92uz3nTtdsOoz7muGcaCg7xi0WC6xWa9wAAYfDkVegNk0TTqcz7liJx8l1Jmc25YAGq2QQ/+4QDTxN07B9+3Z1X/T5fHGNlEBvriwpKUlZsiwUCuHLL79EaWkpSktLYbPZsHXrVlRWVqrSmLHZsri4OK7Bk4goH7qu57yGYCgUgt1uz9hpbLVaoes6TNNU+erfDQFc/2ozov871Tl7leL02WVZnVMIgc9b/zdjvKrwM8ZlTo6dyZPvzPhQKBQ3IDUajSZl8Fw6pzKVc481ELOtEo3kcpdEI0koFML27dvV93V1dXGPh8NhlJaWwmKxwG63J836a2trQygUQmlpKYqLi+Hz+dDU1ISysrKkTGkYBsaPH4+ioqJBeW1ENHrlM+Aym0k/coDhSBkkmNgJ3p9Z8Ykd2Kk61zOVRE/kdDozzhQHerNnoSdWpTvPSMaOcRrR+ropyUZK2VkkyQ+ypmkiGAyivb0dRUVFCIVCiEQi6O7uVvvKm7dpmmhsbITdblczzfnBkojyUVpaGjeoJxt9jUyMLfPodrsRDodhmiYcDgeEELBYLGrdG2koO8Z1XUc4HIbL5VLX158Z2n2FvmwagaVsG1IHIwTKcp1ENLAikUif1Tza29vR0dER97svy6TJY3i9Xni9XlitVggh4qoVaZoGl8sFXdcRDAbR0NAAh8MBp9MZNxuRiChbmqahtLQUnZ2dOT1P5rBUZCWeYDAIi8UCp9OJpz7pwB/faYYAYNGA646agP1q7Fk3Erb5DXQEDVg0YHpF4TvG5f1blpYEkgdJZivVkjyJsm1stNlssFgsWc0wGoxllhLbRYhoYEQikT4HLW3btg0ulyuugyP2HhYOh1FfX6+2hcNhNDc3q31tNhtsNhusVis6Ozvh9/vhcDjgcrlgtw/ekhVENHoUFxfn3AkciUQydtbabDaEQiHVPmkYBjRNU53B8l6Z+Pyh/GxsmiZsNpv6nG+aZtazxRNl0+md7SQhl8uV1XXY7fa8rzcXI72KCTvGacSSJS+tViucTidM00Q0Gk35gTL2Zio/6MbuZ7PZYJomdF2HEEKNvE8czRR7U6mtrUVxcfEAvToiGs3yGVRjGEZc57fsRDEMA+FwOK5TWZYS9/v9SZ3NsmxPKBQa0o5xeV8uRLnybDuy5Vpu6V63bLzMtiF1MNaJZBlmosERCAQQiURgt9tVLkyVK4UQKksKIWC1WhEIBNR9xTAM2Gw2RKNR9cE/tiRd7P3F5/MB6P2bsPvuuw/CqySi0SifnBC7xqHs/BZCIBKJIBqNqsZJ0zTx+9fr8dwXXgCAw6rht8dUY2p572zybKsVyfXFp5TZ4NQHZnC5LFPcHzIL9iUcDveZP2WHVzZ522q1Dkqu9Hg8A34OIvoq4zmdTtXJJAeux5IdRPI+IUumSzabTc0Kl4OW5ODLcDis7kGxzykvL8eECRMG+iUS0Sgk+0LyeZ4k2xzlfS/283QoFFKfkRM7wq1WKxwOB6LRKMLh8JC2gwkh0vYx5SJx8FM6cmBTus5sOcA+25ybywz0/mDHONEQkcHPZrPB5/OpWYdym81mUzcM2UlkGEbKD51ylpBsBAV6GyllWSOLxZJ0I3M6nQP9EolGNCEETNNU/9V1nVUW/iffEdyyY1cGyUyzn9OFr9igFdvRPhT6u266y+VCJBLJOhzKmURyf03TVOOCLHOZy2CBwQibbMAkGhyBQEBV1gCglnqQ94nYLCirXUix9w05mlw2hAohVFleIQRcLlfSh2yn08kBMEQZyCwpv+T6fPy96ZVPZRkhBNxuNyKRSNzn5limaeLaV5rxUVNvdqxwWXDH8TUodX7VjCRzpKZpGXP+F20Du764xWLJuaR84vNzXSPT7/fHzZDSdV193kns3OqLpmlZlcbsL+ZKooEns5/T6YxbF9w0TVitVlWRA+jNlDabDZqmpVzbV07qkY9brVaEw2E1mSfVAB22VRJllpgr5aAT6s0j+Sz9GAgE1D3KarVmzFOyczyxLdAwDPU8+dl5qMiB7vmy2+1ZL6UjyQFQpmnG3fNlG0UuGVW2wQ9kOXWn0zloHfADhR3jNGLJDgz5AVzOfpQ3j8TOb7/frzqBEm+usjEhGo2qD9SJHU4ej0eN+pRrrhFRPJ/Ph/r6eoTD4aTfM13XMWbMGJSXl+/0HeRySYZcS9vID9CZGs1kw1o2pX4ikYgqtS6XjBiMMo4A1EAkOWgpl/dC3rPz6dT3+/1x61BmU1q9r2NJqQZR9RcbMIkGh8/nUyXT5ExAACoTJo6Glg2diR9QrVYr7Ha7mn0u763yXiPvsbG5kg2YRMlM00RraytaW1tTlnN0Op0YN24cioqKdvoO8uLiYjQ2Nub8PHn/SpX9/GETP3y+AU09vQ1qu1bacduCcdDTZHghBAzDUBlNrm0oG+Q+b/1fx/gArC8OQDVsx840ypbb7UYwGOz3euSp1iLPlsylsQ3z6QYs5EtOHiCigRWJRNQyXsBXMwFjO5xiJ+xEIhE1UDvxM3HspB/ZVhl7r4lGo6qTXN7LmSuJkkUiEdTX16Onpydlh2tZWRnGjh3LZQjQmyvzaWvLJgfJweN95ZtoNAqbzaY+TwO9/4b5rvOdK5lpE/NsX2QWzff9k/dzwzCSqh3nIhgMQtf1uNynaVq/2j8TjYa2Svbs0YiVOBs8cVS2aZqqEVN2mgcCgaTOqNgZk7IkkVzbwWazqTKZcl85W3Nnb4AhimUYBpqamtDe3p52n2g0ioaGBrS2tqK2tnan/8BWXFw8IGu+yJHp2YhGo7Db7UmhVJY+Ar4aTVvoa5UNAbHnjp1pk65Rsz+zaWLL2BVK7LEG4u/Czv57QjQYTNOMKxvscDjUh+7YUdsyV4bDYUSj0bhlK6TYPGq32xEMBlWJYtmBIsuvy+ONhg+VRIXk9/tRV1eXMXsEg0Fs3boVRUVFqK2t3ak/mzkcDtjt9oLlm7ruMH7yQiP8kd6G43lT3fjZwWP6fF6qz9qapkG32bGxvbdhb/aEEths+oAMxIydaQRArQ2paRqCwWDKxtRsl+NJJH/eZCdVIciZa1KhB+LLtgwiGlgyB8qBlbLSW2xnnMyG0WhULWMhl+OR90fZVim/l50asqRubMeHPJdsrySiXkIIdHR0oLGxMWOnamdnJ7q6ulBdXY3KyspBvMLhp7i4GM3NzQNy7Fza8uTyPrFktpPVeeTa5IWeXZ446SV2KQsAGbNjPp3iss2hkDO8E49V6LbF2Ap6IxU7xmnESuwElx/AZWOj7NwGvhoFLj8MypKViSXfDMNQH45jZ/JEo1F1XACorq4erJdJNOx5vV7U1dVl/QdcjtScOnXqqGuc8fl8aG1tVaMbx48fn7ZRayA+sLrd7pw7sFOtZxgKheIaCgfiWlN9KIkdiSlLBiXul2+1AbvdHncfHwiFDuPyPSCigZX4YdowDHUvkqV1Y9eulSPd5Yfy2MFEwFcflAOBgFobUv4uy/uczKl2ux0lJSWD9VKJhjXTNNHc3IzW1tasn9PT04PW1laMGdN3x+1IImfMe71emKaJkpISjB07NmV2FkIUrGP8g/oAbljbDON/t8Rz9yrFabPLsnqurutJOVQIgY3NXgQiJpy6hrEOM67jp1BS5crYmTbplg/K9zpyWT88X4U+NiveEQ2OxA4T2fkNfLU0WigUUu2MhmGotkpN09RnwFT3AMMw4PF4VDYNh8NqDfJIJILKykr+rhP9TygUQn19vWrb74sQAo2NjSgqKhp1A0zC4TCam5vVxMHq6moUFRWl3Fcu71DIHCJn4ueSVWWlx1hyaYnYTDcQJcMT83biZKFUubI/+TbX5XzyUej299FQhYh/LWlESiwnITu9Y2fixD5uGIaa7eP3+9XM8MRyZfJYciRmbKeM/G9RUVFSOc1Ck6XoIpGIWud8tHUg0ujQ3Nyc10hCv9+P9vb2UTMSMxwOo7GxEd3d3WpbIBCAz+fD9OnTk8oxdXR0oK6uruDXIUeNp+rsTiVVAybQ2/kcG/IGonO2r6AdO1ApVr7hfLDuoak68/M1GoIm0UgQe5+R98/YD7uJ5WzlCHI5w8flcsUNxpSEENB1PW52uCQ70tN1dBWSXCZDlmdjrqThyDAMbN68Oa+qMM3NzSgpKRk1jZjd3d1oaGiI+zzb0tKCQCCAKVOmxO0rhMCWLVuybvTN5JnPu/HX9zsAABYN+OURNdhvvCPr7JWqARMAtnT3Pn+XCjuslsI2tEp93dMCgUDKqkP5NGCmqrY0ENgxTjQyxd4fZCVKq9Wqlm6U/w/0/u2Tn99lh1Fsrowd9CTXLff5fHH3s9gBmIMxSEy2VZqmCbvdznsLDUt+vx+bN2/O+W+pEAJ1dXWjZiKPHGjZ0tIS915s2bIFEyZMQHl5edz+oVAor/etL7KqRS4d4+k6uxPXtR7IdbTTkdU7Yt8nXc+vIpKsgjzQCv3zPBru/SP/FdBOKdVNTzZeplpzIhQKqRFPFosFhmHA6XQiFAqpBk3gqxtbNBpFJBKJ65SRN7eBDJrd3d1oampK+Rrsdrv6kuXy5Ndo+GNNI097e3u/yus0NTWhpKRkxHf+CSGwbdu2lA25hmGgs7MTY8eOjdve1tY2INdimmZSSMwkXQNm4mjF2IobsoRwf2VT8t3v9yc1YuYTGOW9PJdSP7LMUK4N9FartWAd46MhaBKNBKkGEwUCgbiGSUkIgS8au7DL2GL14VcOMLJYLAiFQnC5XDAMI65KhVxfMnYwkq7rKC0tHZDXZJommpqa0NXVlXTP1jQNNpstKU86HA6Vl4kGk2maabNUNoQQqK+vx5QpU0b8z28wGMS2bdtSPtbT06OWZ5BCoVBBOsX/9G4bXtjQAwBwWDX89phqTC2355S70uXD/zb13kdnVPUOXJCfs+USE4XITdlcp+yUkvsWejZUOg6HQw2UyqVDvdDXNtI/cxGNFIm5UrYlphr0/eIXnZg9zo7p1ZVqUKacOS7vAbGfZWPbPWPZbDZ4PJ4B+/wYDodRV1eHYDCY9PqsVmvKtsrEikpEgyUUCmHr1q15/x31+/3o6OhARUVFga9s8LW2tqZtt21tbUVZWVlcdk712bFQcvn30HU9ZSe63W5PakeU9xrDMAqyBGTiRKFU0k3kyZUcgJ9LW6Xb7UY0Gk0q9z7YRkN75ch/BTTqyVJDsdI1eGialvaDtZxl7nA44mb0yRIcbrc77gab+EFZlrzs7OxUa0HKWef9DXuy8TJTZ1k4HE75R8Fms2HChAlpS6AQFZrs7G1oaOjXcUzTRH19PSZPnjyiGzG9Xm/GMNLR0YExY8ao1xiJRPIOL7EjsmMDmN1uVzMXcwmxqfZNFQJj18wFoEJnf2TbCNrf88R2TGX7cyY74/P5uSzkz/JoCJpEw41pmllXwUj1+/zHd9vw4kYfjp9RhIv3rUBJcbGaOWO1WhEKhRAIBNT64pLVao3LcbJce09PD4qLi9W1mabZ79/9UCiE7du3p/1bI0tvpsqVHo8HEyZMSKp0QjRQgsEgmpub+9256/P50NnZmTTzZaTpa9BpR0cHampq1Pc9PT15nUcuL2YYBn72/A581NiblSpcVtz1rSnwWEXaykKpyDVuE7lcLnzW3PuZYUZl730ldumcxAFD+dB1PatsHY1G4xoxhRBpS6ynE/v8bKsEyWyd6729UAMtJeZKosKKHWQTK93nwcTf6fYeH+54rwsAMHdSF34+twYulwtCCFU5UnaUx96rNE2La7uU5Xu7u7sxbtw41T5pGEbS8pH56OrqQl1dXdp7kmEYCAQCKe+lY8eOjWsLIRpIQgj09PSgvr6+3+1IjY2NKC4uHtGDygzDyNjPID+3xlY2yzdXyqpkMuPJ+4XValV5Mpf7QLpJPKn6X2JzZCE6q7Mta5448D0YDObcVirvz7kMGggGgzBNs+BrhufCYrGMioFPTMY0bJmmiYaGBnR1dWHs2LGoqqpSj6Xr+En3gTyW/GBqsVjUjBnTNOM64GUpI03T1B8IWbZIlhWRHVBCCMyaNSvv1xkOh7F9+/a8172NRCLYsmULqqur494jor7IjtRgMKi+5GwGXddhs9ni/hsKhdDR0YHu7u6CzWDwer3YsWMHxo0bl3UjvGzQl7PyhjKoCiH6bMCMRCLw+Xxq8Eq+QVMGvHA4nNSwJTt/PR5P1g3L6e6XfYXAQnSK22y2rBtBE6t3BIPBnMKuHNSUi9i/BbmWQipk2fmR/CGMaLgJBoPYsWMHwuEwpk6dGjcqO9sBRUIIvLWtN68990UP3t0RwC3HTsY4V29nu+x0kTlTVimS9yyZKYUQat/W1lZVLcgwDJSVlWHixIl5v87Ozk7U19fn3aHi8/mwcePGpPeIqC9ylobMlKFQCBaLJSlXymWvenp60NHRUdCZDrL8eGVlZdaNNaZpIhAIIBqNoqioaEgbeYLBYNyyPKl0dnaiurpaZZX+DLZs6/Lhh8/Vo8nXm+tmVNrx22NrYEEUhoGcBsikW1fRFwxjc2dv3pQzxmMV4v1O13iait/vj+vQDgQCOXXOx2bgbPJsNrOOsjlXITBXEhWOrJ5ns9kwbdo0dU+WGS+VxN/py19sV///2vYw3rp/Kx45axIc/+twCIVCKlfG3o8dDoeqfCkrXsq/r9u2bVMVME3TxOTJk1FSUpLXazRNE42NjWhvb+975zSam5vh9Xrj3iOibESj0bi2ykgkon7OE9srTdNEV1cXOjs7Czbb2TRNbNmyBePGjUNxcXHWP7/RaBR+vx+6rqvf0aHS1tbWZ5bo7OxUn1ETl63Nls1mg2EYqt0tNlfJ9rhc199O9e+YarZ4okJkp1yuM/bfV7any0mUfYkdgJrtOWMHSRU6J+ZitAy2HB2vgkYdWU5PdiC1tLSgoqJCdTh4vd6Uz+urQyL2w6tcX1yOWpIlztxut+oglI2Y0WhUdZQn3pyz7QSRawbJDr1QKIRwOKzO1V/Nzc0oKysbNTen4cg0TbUGVCHDjWEYMAxjUGZnRSIRtLa2wu/3F6x0YX91dXWhq6sL5eXlqKiogNVqhdVqVYNXZIOl3+9XX7EBQFaBkP82FosFLpcLpaWlAz6Crq/Z4lJnZyeKiopgGAZaWlri1grLRmLnbjQaTQpEbrc7p9lWqYJpNqV4sgmj+Zw7k8T7rrw3Z9PhHfsznu7nXY66l53+uc4wTzxWuu253ut5PycqjEAggC1btqi/HW1tbarzWQiRNlcm/s5qmoYVCydgyatN+G9LGK1+A4sf34xFe5TgnK+VweNyqoYQ+bcstpHANE1omqaW+El1D8vmviMHtsksGZsr82nMSCQrGSWuZUyFFQ6H1Wj7QuVKWZparmc60Hp6etDW1qYaLIeaaZpobm5GW1sbqqqqVEd37KyGSCQSlykTc4/T6VTVG+TgELfbjfLy8gH/u9zS0tLnPoZhwOv1oqSkBD6fL68Bl263GxsaO/GTFxrhj/Te546cXoyfHFihMlo2S97EStWA6XK58MG2DpgCKHNaMMad/DNZiM/BuWTqVBk0HA5nlc1lR1Xs96nIhnpN01IukZatTO8NcyXR0GltbUVjYyMAJFX/SWyriJV471nxrUk48x/b4A33/i5HAXzrwe04f69SnLZXb7tI7MBKt9sdV33O6XSqTvBUy/8A2efKVJkyFAoVpOMlEAiMioouw5n8bCDbwwp53FAoBIfDMeAdvKZpqok4qUr2D4VQKIRt27bB5XJhzJgxqu0xNrsHg0GVKQOBQFyWsFqtquPeNE211EBRURFKSkoG9D3ta7a4FDvgsrW1Nee2OvnzFpt1ZPaW2+x2u2r3zka6STzZfLbJJROmkmslo8TfN/n7Eg6H+8xpsQM75TJsqd4jWTlU/j7mq5BL9IyWTDk6XgWNGkII+Hw+NDc3x4U62QBQWlqKUCiEzs7OlM/PFAAsFkvSqB2bzRZ3E0/XySJvrFarNelDvxACDQ0NcR+A5ZdsDA0EAggGg3nNPsyWaZopZ5JS/oQQCAaD6OnpQU9PD/x+vyq5V1tbW5D3OhKJ4IsvvoAQAqWlpaiqqhqQGVqmaaKtrQ0tLS3DojM8lY6ODnR0dMRty6ZEoQwG8gOj7HyWA2pqamoGJHBmM1tc6urqQmVlpZqt6Ha7sw5s6YKpXP8W6H2fci1Bms3a4onkfW2gyTJM8t8+VWd9Np3jiY/L9z5WNBpVH/wTyf1zmXGe+LMm/41yLXMPjJ6wSTRU5NIfTU1NcX9Luru71YfP9vb2tL+bqf7+uGwW3LqgBi9+GcCf1jfDFMDj/+3Gm9v8uGbeOOxRXaTKqCXeV4LBoLq3yaV4Eu+pPp9P5Uo5EE9+yXJ3csZjfz/4ZxKJRFIuZ0T5MwxDdWT29PSof7/Kysq4GcD90d7ejoaGBlgsFlRUVKCysnJAZomGQiE0NjamHVQy1AzDQFNTE5qamuK2Z9OZGAwGYbPZYLfbEYlEoGkampqa0NraipqaGpSVlQ3INQeDQXR1dWW1b0dHBwzDQH19PYQQagmYbLjdbry5sQ03rG2G8b+34vy9y3DGXpXqs7GmaTnNRE/XgBmNRvFF6/9mi1cmN6rn2vmeTl//pk6nU32msFgsSblazvDM1DlusVjUjCjJNM24XBm7rFGqvyv5zJiK/SwUW6Y01/XKNU0bFSUviYZSKBRCW1tb0gzqzs5OFBcXZ2wfSNfh8dBpk/GLNfX4uPmr+8LKD7vw9Bc9+PuiCfB4PGk7qEOhUJ/3k/b2dnXvkWXV5b1YZspAIJB16eB8DWRm3VmFw2GVKX0+HwzDgMViweTJkwu21ObmzZvh9/vhdDpRVVWF0tLSgn82kIOUGxsbh+3PSSAQwLZt25K295UrZWewy+VS/QGyEqfL5cLEiRPhcCRX0ymEbGaLA1Cz7Xt6etDV1ZXzwIrE5cOAr0qMyw5y+bkyW6myks1m6zMzFqKMejbcbrfqX0qV92IrDqd73Xa7PamtIPFnwTRNNVAp1e9Grv9WiW0b8t9IDqrONfuPBmxxpWGlo6MD9fX1KR9ra2tTozDT3dwzdaAl3qzl7G/Z8ZHNTVqWMoq90Qoh1CisvtYoG8iO8XHjxiV1+IwWA90wG/vHJnGEbKqfqUAggM2bN2P69On9Ho0pB2wAX82cdrlcavaqbDxP/BJCoKysDFVVVX02cnR1daGxsXFYzOTJVTad+HK2b6oA1N7eDqvVinHjxhX82rKdLQ58NYBGBh+5Vlg2M0FShUK5DITcJ5dOcYvFAofDkXSvyna2eKoOZJvNlrFsXK7S/XsmytQ5nmp7pgFQ6YRCIei6nvVrk+WR5WhO+T7n08k9WsIm0VDZunVryt950zTR3t6OMWPGpP07Y7FY0o7IttlsOHZXC/YcU4NfvtKMZp+Bpp4ofvRsHb65ezEu2HdsynwQ2xgZiUTgcDiSPoSGw+GsRvcDfefOfFksFkyaNGnUdooPZK6UHWOpMmW6HCb/vWPXjc5X7IDf1tZWtLW1we12q0EW6XKlxWLB2LFj+2zwlNUEsv0ZHW6y+bzndDpTVl8wDAM7duyA3W4fkM9c2cwWl7xeL3p6etKub5vJox+24M/vtgIALBpw1WFVOHzXyrjBiLkMgpTrlCeS96cv2nrvo7sllFFP1wkt16LMZaa1rByVSV/5Tw4yT3VflXksMSfnU8Y+1/YAu92ufndDoZDKo7nmykJXPCPa2USjUWzYsCHlY93d3WqWYLp7Uablvf7fN3fBzS9vw0ubvvpM3x4wcOID23DloWNxaG3qiROyo1t+xpUzymPvMV6vF16vt8/MGAwGs5qUkA+Xy4WxY8cW/LjDQT5/h3M9fqpMmW6whGma2Lp1K6ZMmQKPx9Pv88tcKZekamxsVJ28smMw1ZfT6UR1dXWfFRxDoRDq6+tznuQxXGSTK9O1V8nO9kK0KyfKdra41N7eru4PsmJSpvuFbId0OBwps5BsD5NrvudCLh+RqK/8lO59llUUsh100dc90GKxZNWmGDsgPrEtMd37m09bZS7tAXKZytjqc1I+uXI0GB2vgkYN+Qc03ezAbdu2YfLkySlHW+q6nvbDaaobZGypoUAgkPQHzWKxpOyc8fv96vyyLIphGGptyEzk2kCFHgXn8XhGzfripmnC5/OptQnlfzVNg9PpxNSpU/sVOiORiPrg0p+yo6FQCD6fTw3WyJdsJI/9+QsEAln9YWtpaUFHRwfGjh2L8vLylO9LR0cH6urq+nWNw126smFSS0sLiouLC9aIKYRAZ2enKp+Wy/Ni/z/TaEaXy6VmKfn9/qSwI9euAb4qo57qWLElnmRZ32AwmPLnq69R4onXIGcVxTb2x4447M/M8lxGk/r9fjWQRK7rm65Eca7yGXGabjSnzWbLeeBA7HpPRJQ7Wc0n1d95OZM03e9YuntibMfjhBI7/nrSBNz5Xhte+rK3QWfVp168vS2Ayw6sxJxqZ9zxEj+AykZUSd7LZIntvvJJoQYjJaqpqRnwpUgGSygUUuWyZaaMRqOwWCyoqqrqV0OtHJjm8/niGivzKVPX0dGBcePG9bthLLGRIpfBczt27EBbWxuqq6tTNqYKIeKWuhqt+loXcMeOHZg+fXrBZt9Go1E0NjZmPVtcip1t3dc62fL3+Xev1eGFDb3/fk5dw28XVGNKuT1uZotcXizxc7WmaXE/X/L/031mkfcnNWO86qslo3Rdh2EYce+zy+VS+VFmSKfTqWavZ/q96uv3Jpeyk3LmpBzg2NeMn2zJjulcBzOla9/I9XoikQi8Xm+/P7sS7azk4OdUbYdCCGzatAlTpkxRSzMmSvfZWObNHx9UhQqXBY98El+J5ZY3mnH/v3X89eQJcdtTfU6N7RyXkwfkPbSvNjRZAaPQsy1H02BLIYRqq4vNlUIIWK1W1NbW9qv6o2ma6O7uVuW4ZbbM5zo7OjoK0jGemCuj0WhW1YJ6enqwceNGlJeXY9y4cSk70UKhEDZt2jQsSqYPFLkcQjqhUAhNTU0FGRwrBQIB1NXV5fS+ynuEvLfJpWRTZQ1ZGl4O9knVMSt/J+Q9KRgMJmXrVG2Vcn32VOfMlJ9StQnL+5nMo1arFQ6HQ02QTKevjvFUM+TTCYfD0DQNbrdbZdxC3WddLlfatt100k0UyjQhIJ3YEvwjGTvGadiQIUCWr5M3vtgbcU9PD7Zs2ZJytGXs2gyx0nWaxe6b6mafqkFUrusAQJWxlDfEbDu8dV0veMd4uk7RkSQajaK9vT1tuRc5G1WWHs1HZ2cn6urqCrauRnd3d78bF2QjU76zuaPRKOrr69HW1oaioiK4XC7VmNPd3Z3T7JORSo56SxwdHaulpQW1tbX9Plc0GsX27dvzGtGa+DuabrZzbLCUg28SX5dspJPVA1KVppQDdoC+O3j7mi2eKuzKNaxiG2Jjw1Rs+EvU1+9grr+j8p7qdrtzLv+ZTqHLyeUz+l7e8wo9gphoZxAKhdDd3Q0Aaj24xPtYU1MTKisrUz4/3d+TxA/DNquGnx1Wg30mdOL2t1oRMoBmXxRXv9yEo3cpwgVfL0eR3ZI0gFIOwJSDLRNHsmfzey/XAS7EPU/SNA2lpaUFO95Q8fv9aG1tVT8DieSMlv7Yvn172uPnSg4M7W+u7G9nrayK5PF44Ha74XQ6VeZob28f9Z3iAJIasBKFw2F4vd6ClFT3er3YsWNHzo3CsvJZ4nWl6hx3uVzw+Xy4+uVmfNzc+1iVW8f/O24cSpy62sfv96uO29gBQ9r/Z++74xyp6/efaenb+14/7o47+tF7EaRKVcFe+f5sqFhABVQEpdiwN8SKIihIlXL0Jkg7+vW77SXbkk2ZPr8/su/ZyewkmbTd7F6e14uX3l0ymUxm3p/n8y7PwzAmD6S4mEsCnV4fETUMxFLnubpxujDulOCkgrQ1VlJsY1nWnOR3ulbZ9sGZ5IuzgSYnqahULMhbs1TNTNQMmi9UVa1aZFRRRYGYnJw046RT7kHTNOzcudNxbRAEwbHoYM8Nfnh9IwICiz9uTG+U6ptUcebNXbjqhBasXxRw3KdarR2B9Dyo22nJUvJJQigUgsfjyf3CCoZhGIhEIgiHwxmLR7quF1XgJUWCUhWJJycnSxLvi50KHR8fRyQSQW1tLXw+nzltHo/HEQ6HF3RRHJhuONF1PePzNTo6WpLmWMMwTOuffGFXhiROaffJ5nnevNet+Uwr/yTlU1LJTCQS5vuAVDzked7kMU6c1o5sOfNMuUx7vpXOGYDZBOoUF3Pdk/n+ToZhmA0Ebo7vBqVuYiok90k1mvmuclktjFdREZAkCd3d3WYgJZLpRDozPaxOQdIabK3IRQwDgUBasOM4Dn6/H7FYDKqqguO4GYlIN0QzEyEuFuXwpJ5NuClYt7e3o7GxsSiyMDY2VrKiOJAqjHd2dhZFNt34Qrk9TjnurfkAa3zIJCNTiqkeVVWxc+fOgq5zJuk0ImvW4qf1ddaJGXszj1U2UtO0tKlDURTB87x57FxEMxcRylQ8IA/FTB3rdGw7Uc31HFotLlRVdfWM2K9xrmaJbCg10eR5vqD7JhqNYnBwEJ2dnSU7lyqq2B1APssEev7In9Xate4kM5ep2TFTbBAEAUctDWKPBg+ueTKMHeOpuPPQthhe6E3ii8e049gV0+/1+/1gWRbxeNyM73Yu5yZ2lWOyx+PxzOtmHMMwchasPR4PFi9eXJQihyzLJSuKE0rRcFmqwjVNwu+OsHKWTLyyFM/I5OQkuru7C9qbODV+U4KPYgnJb4cjcXzhvn4Mx1OccV2rDz84tQOYioE+n8/koRQXKdHFcRwURTH5Kp1rrqIs8c6to6k4uqiGR8ib4uKZ9ufAdEHaft0pwcrzvGOhO9teTNM0s7ld13VXKm9AOjemc3KaeHIDhmFKmvzPJsmcDX19fRAEoWTes1VUsTvAziuoyAFMq1pYJYjt/uOAs18uAHNC0op371OPUMCLnz+b7lVuAPjmY2Hs1eLDL85dkXbMUCgEWZbNxiZ7o7ibZkCaMC91cXy+KxDJsoydO3dm5eW1tbXo6OgoqkA0MTFR0nVC0zTE4/Gi4n0hMthO0HUdExMTRR9nPsIaL1iWBcuyM555hmGKbmAg60an+JMLxBftsCqbkdKpvUExkUggFAql3SdWix3ijdRgQY2RNNxktfHJhFzT4tlymVS0J/5n/W5A5r10NttLa5HbSWEpExRFMX97q+JlvnAr5Z4PCok9uq5j27ZtWLduXUnPZbZRLYxXURGIRCKORQPrIpIr+edENjNJ12YjfNbPsRaVZFk2fWapu8gOn8+XMVGSrUOsWMRisbSi2HxCIpHIWRSvq6srWiqepDRLiVKQzUK6+arIDNoM2n/rYgvjqqpi165dBTcfZPv8XPclkRSKRySrJQiCmaSjyWJd182CeCYZIjvcTFgTcc0kO0Ry5uRVYwWpgJCEpJsEsF3ih+Q1s23o7cel9xdiX1HKBhrAOenhFgu9i7qKKsqBTI1w1MxjnYB0gpXzEdzEyvYaAT86tQN/fGUcd29KyQyOixqu3NCHI5eO4/NHtKKtLhW3rV3jTudCcm+ZIMtyyXkNMN2wN1+7vwcHB3MWrDs6Ooq2qShHgq/Yhktd1+et93elIplMOu4xi52gKqYoDmSX17bGkt6IjC/dP4ikmvqcE1cG8eWjWhCc4pSKopjHouKF1WOc+B/gbD3mBGtDJPmLr7H4i1PRXRAEyLI8gx9REZw4rvUz7QlF4pW5nhmrzQ013ufKK1j/nXipx+OBoih5/26VNKFdDv/gKqpYyMjWCEexThAEs6HbCU7PXTYeeuoeAUhyA3734viMf3srLOKkG9/Gb85ejM5QSn44Ho8jEAikqajZm9us6pd2UHGnHPnK+dxkp2kaurq6shbFOY7D4sWLi2qYI+nzUiMSiRSVq4zFYmXLYe+O0HXdsUZhlRQvBIZhYHBwsKCiOICMPuGAOysa61CLLMvmM28dVFFV1VTOode63cdmaiwiJBKJrNY7ZM2aaZiHFILoGabzzJaHs1tMkmVlJtg/2xqr893Pl4PHFZpz1DRt3isRVQvjVVQE3ASCTN4VBArGQGphoGDm9/vNTTMFt0wPrd1TnIKkbumop008BQ7a2CuKYk5wUhGsHAlLJ0Sj0YxSoMC0TD35aZMEclNT05xOm8uyjK6urpzJhWzfzS3K1aEYjUYLJpuKouy2nZPlBCWurMXQTIVpmoJJJBJIJpOm3yHJPFFBdnx8vKiJ/GKkE0l+yP6c0LPMcZw5kUxSjflMtLiR8rcWqmlTbZcYpevtNCFe6OQ2gRKkJMtE/p+KouT0Q6Pp+nwIZKkL4/l8d4Zh0NDQgIaGBpNkV1FFFe5BMTAbqHiULXbQdDnFG1VVwfO82TFPf8cwTNr6IHAM/t/Bjdi3zYefPDuCuJKKJ892J/DaYDc+cWAD3rlHEJIkmT671iK03+9Pi0E0yWkveJUTuXilKIqIxWJmbKfiWUtLS9EFw2JAljzZUKppyXLwt2IbLsfHx6vNVGUATfJYn0untZmeUeKVVPSlZJzf74fH40EsFsP4+HjBXCNXgpDwYl8SVz8+DG3qYz6+vh7v3rsOPp/PcQKMfFKtBWmv1wtN0/LiwNbigJO/OJDOCzMlM2lCHJjJo4uxJbNKWlJspc+w2nY5XWPKN+S7x59LFQ6Px4Pm5mbU1NSA47h5rQhSRRVzATfPO+3JM8VnURTTcpW0j7UO1pANmtfrRTKZxFlra6EbwO9fmlkw1Q3g/93Zi8MW+/HN41vNvyc1EWp0IhsK4rBWlbpi9+duEY/Hzc93Ak0li6JonpOu66ivr0d9ff2cFVwMw0Bvb2/O9a++vr7ouFou9cdiGy53B1vG2YYkSTN4RKZ8D0l/U66SCswejwd+v9+MKZFIxJXveyYUe/9m8lGnvwsGg4jH46YqBZBbecgKN3HKar3j9/tnDPRYuZ/9s4sdYrTaV1qPSTE922Q4xeu5bkCxDwRkQzAYRHNzs8mj53NRHKgWxquoAOTTKUTeY05BgzazdtiDaDapZacFgYopDMOYsif0d36/P61gRIV4NwnXUiIejyMWizkm0kRRRE9PjyPRikQiWLx48Zx4Saqqiu7ublcJvFIk+cq10ESjUXR0dBS0GFACqorSw+7XNTo6Cr/fj5qaGhiGgcnJSQwNDWXcgCiKUhS5dDofTdPyupdpUvDR7ZPoDDFYUZ9eOKGpcSsRJXkmq7yO1+s1E3yZJNzy2RRbp27o2ADMaXZRFEtG7shPkmKuUyLXKinvBIZh8vbMKfVzaZcodQLHcWhoaEBTU9O8ndSsoopKQD7Put17zAqnGOYUa8gT1453rGnCHo0eXPdkGFum5IRjso6fPTeKJ3bFcfFRrVjSkOKMlCywnws1X9qVi8qNkZER1NXVzUhi0kTLwMDAjDiZTCYxOTmJZcuWzYmK0eTkZJp8fiaUglNqmlZUYS4bimm4nOukykKFLMsz5Lt7e3uxePFis3AcDocxNjaWcZ2PRCKIRCKO/5YvNE3Luce8860ofv9yqpjCMsDlxzbjhD1b0vaxBCqcUHLO6ifJcZzZeCnLMliWhdfrNQvZuZR8zInxpswxge5b4mvWIhHFvUJ8wu0g/11rHsBpklEQhJzP0mzt8TPBTbOn3+9Hc3Mzamtr533Ssooq5hJun3WanMukVuZ0HDunY1k2LUads64WumHgDy9POH7m871JnPO3Lvz+3E4Igmwq/oiiCI7j0gZ/rFYb1Jw5WxgaGnIs0GqahoGBAcdmQ7J06ezsnPWGHpKldpMPKgWvLFfjKxVWg8FgQe/fXa0ayw37PSNJEgYHB9Ha2gqWZc0/Z7r/kskkkslkwRPiTueTb/7OWuS2xzHr3wcCATOHxzDMjKEcayN6pucgn2fMWp+xq1aqqlrSOg3td0nZ0kkFCUjlCjIpZ1Bh2W3TK6EUvNh+Hrn+PRQKoaWlZd5b+dpRLYxXMefIJY9rhyiK8Hq9aZv2fCCKoqOcLyUeyZOHiC1JYui6bk4IWcmulSxQ9yf5+84mkejp6cHKlStNmXdVVRGLxTAwMJDx+pJfkizLaG5unpVNs2EYiEaj6O/vdx3IE4lE0Z6L5UoWklx1IWRzLqeqFjrszx7JYDU2NkKW5ZJ5cLpFLsULOwKBAOKJJP748hjueCuKliCHn57egVovZ3aRAzCL4wTrBCIdx+67bU9kFvPcO8U4KpQXQjhJOpim/slrMhgMwjAMBAKBGZNLFJudQOeQ74RPORpWBEFI8zkOhULw+Xzmf9V4UEUVpUG+cSdbcdwNnOIPz/MQRRFLGoP42dkh3PRCGP98PZW8YAC8Oiji03f24GMHNePEVbW48uFhXHhwI/bi0xOpdrWOchVj7VAUBT09PVi+fDmAaUm5cDictbgnyzJ27NiBpUuXFpyEyxeapmF4eNi1hDjx9GI29eXk98U0XFbXkfLAKVmYTCaxfft2NDY2YmJiYlYaVgh2uxk7fv7cKB7cluK5Pp7BDad1Yo+WzDHO2jxIU430Z9r3AqmkmHXqhWVZx9hJHHMopiIq6eBZYGVD+sS4EzL5NBqGAUEQCvLVpml0VVXNSSt69jmOczx/ygc42TJZi0z58PpSw548DQQCCAQCJqe0SoJWUUUVxSGfuENqQl6vtyCuoOv6jNhy3l51YDkBv3/BeXpXNYCP3dGP09bU4EtHt5tcgOf5GTGKlOiA2VWyGB8fh8/nQ1NTk5mrlGUZ/f39Wa/TxMQEFEXBkiVLZo3jSJKE3t5e1/G9FAW2cjY2RiKRgjl5qYtvVaTgNCE+MjKCWCyGYDCY0RKsXJAkKa99kd/vh6IoGZ9d60AQ2b5S3ccwDLPhEYBpCwmk9rp2JTagcOnwTINBxAWtnt9uEQgETO91evZDoZA5GW5XIQamc7b2c6HmWlJIyud5yzUcVAwYhkFNTU1arlIQhAXbZFndPVcx5yiESFDnulPXey6QRJyV6Fg3v7QZtpITnufh8/mQTCZNskt/pvcDqQBCnUD5BliaWLcHS+rEsi4QXq/XJLLWBbOvr2+GvLEbDA0NIZlMIhgMguf5tP/s0hhU/C9E3lcURQwODiKZTJqLo5tzLdaXiCRMyoVoNFoQ2axKJJcH2TaipeqqLCcCgQDGJpO49olBvNSfikPv2KMWzbVBsMzMoi1J2JLcOk2MO/kXJRKJGVOJpSY4RIQpSec2xmfyPSMCnUgkMpJF+g4UixOJxIwEqizLCAaDjrL0Tp9ZalBCubW1FQ0NDdWEZRVVlAmF8MpiiuPJZHKGIgRNdtNa9KnDWrC2icMNz44iJutgGUDSDPz2f2Hc8uooopKOrz0wgM8e1ojT9qw3C1HW75NvUZw22/Z1gLrnqQhl7aYHptcYwzCwdevWvP10NU3Drl27TPULK6fkOC7NR484Jaky5QPDMDAxMYGhoaGMBbpMiMfjRRXGy5nArDZcVh4y3Zu6rmNkZGSWz2Ya9kZvXdfx9Q3DeCucijvNAQ6/Omsxmmunnw2S+rVOhNvvZ+JQkiSZqj3UuGjdP1OB3u6tSLFw85RSxooGDwSucK5JqnCUmHOzp6PpczoXu0Q78Umr7CXBMAyTT3u9Xui6PiMJSpiryXGyhvP7/Whvb3f8HlVUUUXxsHI5t6DJwUIV1Oyci+d5nLs2CFlR8JeNExnfd/+WSTy2PYY/nNOB+uC0qptVicPKJfO1+qIGTacBI+K9JAVvzXPR6yORCMLhcN550ng8jh07dqChoSGNT1rzldbPKjRXSY2WY2Nj8Pl8rpsbyK6yGMW3Sm64nK2m3N0JmX5vURTnTP3J7V6PuBU9x8STKPfI8/wMXmS1NqRhQ2Amv6Z7zVq0LkdzBikgOeVLM4F4sKIoM87Huk44qabR6+3WQWQbQcewerLnQqlziXQejY2NaGlp2a0ULKu75yrmHIVuJmVZNiU38i16WpOXmTrFrRAEYcZrRFFEMBg05WkIDMPA6/WaU5u0mbd6xVJHEAUbCvqapoFlWTMhSkHXvnBaF8tSdatHo1FEo9EZf88wTFpHvaqqCAaDqK2tRWNjoyuCpaqqSTKt5+x28U0kEpiYmEB9fX1e34lQ7sn9aDSK9vb2tETv5OSkSQCCwaDjwlWqwjglf6wdwLszKrXhQFEU09srk3x5IBDAloEIrn58GH2TKrwcgy8c0YTjlgchS5lJMiUmKaYQ6XTayFCRmTax5QJtjrNJ/5J8J8mzy7JsxhzaiNmbgpzucfIgp+IWAFOSiOTkqHHJ6/Wa8TYTytF96fF4sHz58oq9P6uoYiGgGB9uKkZSE2Q+oIlLStLZkxosy+KwxQH87AwPrn8qjM1Tvrs8C0Sl1GcpuoGf/ncUO8cVfOLAevAsY77X4/GA4zjTk5ImKMniR5ZlMxFJRRyKm1QIo/faN9z2P5eCVxqGkbFgSDGe4zgzwVpTU4Pm5mbXxeBEIoGBgQHzPCn+u0U4HEZtbW1aA0I+mA1eab0Wsiybcvs8zyMYDDry71KtL7R2Fuu5t1BQqVKi9LzzPI+xmIjP39uPcCLFX9a1eHDtO9sQ8KVPrriduqZCME1bezyejPttiiGULKX93ZaR3DLq+cDqB54J5KsrSZIZH8hfl4oc1mIV8VN7kwHJipKCEYGK0STHCcxdcbyzs3NO/XerqGJ3QKHPNjUfFhIfSH2SGoJIyfL8feqg6Qb+9lpm5R5RM/CB2/txwb41+PSRS0xvXyusOQMaIKEiEeWTiHtaeSathfT39F47jyzHminLMoaGhhz/jZojRVE086nBYBCdnZ2uch1kEzQ0NARN09KK/G7R39+PpUuXFhyPy91wSfLRBFLUozxiJgukUvFK2qMUMsS10FAJftJOIOVJXdcz2hA6Wc1QXo2eF6f8I/1dIBAwY2M2PmrlV/naUboF8dVcMToQCJgxkF5HBWwCPfdW1WArr6TPoT08KRMLgmDGHIq99EzmukdKzf1UVcWqVatMHr07oVoYr2LOUcxGUpZlCIKQN+GUJMmUTKcNMjBdiLbL7lo3yjTVqGka4vE4OI5LSyJaZeCsvpPW7iciW07FonyTUOUiFn6/37wWdK50voqimF5AnZ2dGaduDMPA2NgYhoeHzfP0eDwFJVz7+vrg9XoLmvApt7yhoigm2ST5Uev9yLIs6uvr0d7enlYgZxjGUdbfDYhcUuNEMpksOMG70FCpCUzrfUjdhnY81x3Ddx8ZQEIx0Bzg8N1Tl2BxwN394ba7sNDX5wuKo9aOUjucSLfVwoI27lRwog0cJWitnphUHCfZT5Zl0/zVKK5KkmR2fGa6V0ohXUVF/0AgAL/fj2AwWC2KV1FFmZHL8zYXFEUxCx/5cBXa8BqGYapyWPkcxadWJHH9ye245Y0Ybn1tDKoOhDwsYvL0Od+9KYquCRmXHt2MOh9nHoc2z/T9rJYZbuXs3KBcRRZrF7yqqmZigM5x586dJlfKlMhUFAWDg4Npcu6FJJ01TUN3dzdWrlxZUMd9uZN61obLaDSKvr6+tM8UBMFUH7Gi0OkBmowFpiefSI1md0ehcrizAeJW28MxfPmBISSVVGw4aY8gLj6iOe01hHy+i/W1bvZS9v3r1qmJ8TXNpdmfUJE62zPvtL+m4hRNWVtjZzKZNGM+FYeIJ5KdD/lh0oSP03nlarosBa/0eDzw+/3w+/0mt6wWxauoorwoRdML5QTz4Q5UECelRWo8ev9+9dAN4JbXZxbHfQwgToWaW1+fxP1bNuHP57Sjrq4u7XtY13iK87Rfp4K4LMsZc5L5ThDn653rBtQwSrzfGvvpum3ZsgVtbW1Zh3lisRgGBwfN70oKRvl+x8nJSYTDYbS2tub9XQzDKDuvjEQi5t5keHh4RvNqIBBAZ2fnjKJYobzS2mBpbdalvczujEpVDSSLAyCz/ax9uCdfjmyNQ27eV+6mQ6rdZBrkyTaU4/V6zfuZcgZ0z1sL33QtSfWYcqSapqXxTIo5bpuqSsH/fD6fySmDweBuNSVuRbUwXsWcgjpvigEVTeyBgySDiGiQrAcRKKukMCWBqDuHZAxpMaDARMlJWZbNAi11cNK50EJhl2Onf8+0qS4U5ZC2oWkn8v/weDxpiWaSHrH667W1taUVfcjf3LrgWRsF8oVhGOju7saKFSvyLgDTZE05fVoGBwfh9XoRjUZnkD1d1zE2NgZJkrB06VLzOkUiEdfnROTSMIw0cmlFVeqocjsw7Ugmk2nxwjAM3P5WFH9+ZQIGgL1avPjGsS1oqxPm9W9KyUKnIhPJLtH/AjCLJVT8od+TYrlhGKZSCEl4kg0Fx3FpEm70bFH8tsIq956JcNqlkd1AEAQ0NzcjFAqZFhhVVFHF7KHYDbSV3zjZ7gDTCSxN09K8wYBUU6F1at06kUPgWQafPLgJ+7b58P0nhxCVNHg4wMNNF8hfHRRx8f0DuPqdi7E4hLTijBXlmFQsB1eynic1mFrXaoq1ExMTmJycRFtbGxoaGswYSpLV4XDYPD8qZhX6/UVRRG9vLxYvXpx3kqqmpgYTExMFfa4bUJMlKRA5/XtfXx8URUFLS4t5ncbHx11/Bu2TaC/m1AiyuycvgcpNYBJe6E3gu0+EoU09tp84sB7n7VUHAGlylYRCfLoLgaob2D6W4q97lmhiHICZZHeS1iQlN+Jvdp9HSZLM6UmryhApKQHTEpg0YZ5MJmfkGUhdxMrPczVdFhpXa2pq0NjYiEAgUG2urKKKOUCx8ZLyh3b/WIoXtKelxh1BECBJEmKxGICUdy3teYEUn/rYwQJ0A7j1jfTiuGgA65oFvD2S4opRSce5t/bjswcncMa6elNtiPbKToUg+vxSIpNSXjFgGCatscm+56bvmWmYR5ZlDA4Opilm2m1B8sXw8DAEQZjRtOjmu9TU1Diqd5YKExMTZiHO6fslEgns3LkTy5YtM/c7qqo6clAnWBssnVQEgPLcB/MR8yFXqeu64x7T/pyRulClNpDmAjUIOQ3ykD2lNU5b6yTUSEDN3JQ3ICXXZDI5Qx6dmjOtKpdkvWHneDT8Q5ZGdhSSZ2QYBk1NTaitrU2z2NjdUS2MVzGnKMXGnDaa9k0ry7Izjk8bWCqI0/tpgSbpECKKHo/HnCin41uL536/3+ws93q9ZvdPpu9WLjKQTaq4EFi9Nqzdl1bSaf1+VPQl+Wa7lCnJxhcrzakoiukvVFdXZ0r85QLHcQiFQq6JXSFIJBKOv7nP54MkSTAMA/F4HLt27cKyZcvAcRyGh4czHs8qj26d3smGchb+5wvm0+JOGzZJ1fHz58bw+K6UzNkpq0L49CGNEDgmbQM7X2GduiFSR/HSfs9SUYnk2ei11kYCO/Emv1qGYczrJElSWmxwknSnQjo9a/Q6ek2+hfGamhosWbJkXt2DVVSx0FAKXkkxh2TeKOY4NXNaiykUi6xxg+M4M45b38uyLA5fVoPfnOvD9x7tx5vDImRNx9J6D7onUq8LxzV8/u4uXHJMG45bWVMS2xw3KGbiPhOssZ5sM4gb2gtcmqahv78f0WjUjNHW2AwgrYm1GESjUZNX1tbWuu6UD4VCZW+4dEqQUmKd7klSZGpra0MymczKc+3TO24k+uZroquUqOTmgH+/FcVNL6eaITgG+NY72nBQx/S0l1MzzWztFbonFEiagaDAoLO2dCkn2p9beSKQKhbZ5YLJm9K6X6SYQuoe9hhCxXNd19NirvX/0ySnPQZQQYmayqmZWdf1guLq4sWLC7YRq6KKKoqHPQ4UAiuHpGET2us6cRiK2ZR3s58DccqPHtgIjufx942jae9/e0TBwZ0BvDGchKim4tOvXpzA7W9P4i/nrzAbyjOt7+VQWizH3pjO35p3tCo3Wb9fMpnErl27zOEaKlo5NVoWm3Pp6+tDLBZDXV0dQqGQ6+9e7sK4pmmODZ3U4EuKJ7t27cLSpUsRDAYxMjKSde1y02BpRaHKoQsJ8ymv58R/7bl3Kh7PZ1Ce3doQT9YS9vuVrCiJh5I0OjB9bez7q2QyaSpHWmO+9dhW1S4rrI2epFpc6N6M53msXLmyqjLrgGphvIo5RSkSmNbA4DQ5TkTHKmlJgYcKliRpYZXsBVLBg2XZtM20z+czJ6kBpBEJ8mHLNOFJvuilngAtdWHcqdicbSqJYRjT08cJ9o79YqCqKsLhMMLhMLxeL2pra9Hc3Jyzi76mpqashXEneL1e856jaW9ZlrF582bHxJSTPLpblKLxoIrZhaqqGImr+N4TYWwdk8EywKcOacLpq4NmAnsh/KaqqkLXdZNsZiqKA6kYaS2IAylymU3WWFGUjF7qANIKHUQqyWPdKnNMsPqu5RNX7VYJVVRRxeyjFFyDOBA1ThJvo7+nGEHyjdRUSZPmpBZB3eTUIW4YhtnwRsXJ9toAfvSupfjLy6P4+8ZRdE/I6KwVICoaxpI6FB245okhbBqR8dH9a8Cx6fxM13XHycliUA6VkkyJtUybe7/fb05LZTpeqXivKIoYGBjAwMAAAoEA6uvr06bVncBxHILBYNZzLAeIT5PUJ1kWjY6Ozngt2YgAcN1gaUUx0/gLCZWq/PLT/45gw/ZUIdjPM/jpuxajM5TOQawN2STDO1u8cvOUv/jqJi/YEl5Da5MRccNse1TrNLjf7zf34lbFNzucrpP1tVSUJyUP2v9bfcvt9knUJOX2GfT5fNWieBVVzDFKofRoGIbZZCnLsjk0YeVFVGC0ToVTjLJaPHIcZ+6lWZbFJw9pgarpuO31dLWYF/sTWFzLY12L11wnhuIaTvnjNlx1UicObBcy7q1nS1WkGDg1r+c672xFWcoBlwqRSASRSAQsy6KmpgbNzc057SBrampK9vn5gPLYlEs1DANdXV2O932+DZZ2lKPxdr5hPg0yZcuvU41FFMV5n6+0Dt9Q7cfahGwFqVRYY7VTDcoKmiy3Py/We8GqJEJ5B2tMo6ZyYFqdgZoS3D5XjY2N1aJ4BlQL41XMKUKh0Ax/k3xBHTQUKMh/jPxdSXooEAiYMhZEPKlIQklKOgZJalDnOQUdCpDUWUfS1TTlSDLrRGbtwZQ+gwJZqRaRchZjqCMKmJYRtUqBGIaRM3lGC0ipiYAkSQiHw4hGo1iyZMkMTxwr5iKxZV2k7IkQ8knmOG6G904hKOX3s8q2VxrRoWtGBMOaeLJLs841aBqO5L0JRCQ39kZx9WODGE9qqPWy+PqxLTigI2AqVJSjY3u2YZX3p25J+0SPFdbiDk3d5IqV1KxERQKSQFZV1dy8UcyniU4AZiy2P3fW4gHFP1mWc/4elZo8r6KK3Qk1NTUYGxsr6hjWwjDxNp/PB47jzG5v4oAcx5kSZ1Ss5DgOPM+D53mT/yiKktagSXxF13VwDPDxg5qwf0cQ1zzWh/6oAj/P4PAlQTzXk4qXd7w5jo39MVxzUhtC3ulEBR2PGkBLMeFLvmilLLZb+R9NQVmtMeg6WRtRs6FcksKk/hOLxdDZ2ZnR63yu4eRHSdP3+UzvZEIpG1qB6d+8mEmHcoCSS3Ru1OxMKIdVQTHw+XzQDANfuqcLbw2nrmNzgMNvz1mCWn9qr0aFE+JF1ibD2cSW0dT5lcpfnGCdtpJlOSevtO7FqIgOZG7KobhO96x1kojiPiVPqTgOTE+DOjUWWT/LaiWRLZlZ5ZRVVDH38Hg8JRlqsXIWUlEjeV6WZRGPx+Hz+czGSuJzgUDALNRQ7iiZTELTNLOB/sP71UBRNfz77fRp496oirGkhj+duwQX3tUDdSrcfOvhfqxq9OJ371npeK60X6Y9cim4YKmVVyh/RqC4ble3pNxArkllyueWOu+l6zoikQii0Sg6OjqyNl3OVcwnvu/0G1HeDSiswdKKUvMp+s3d5GhmE5T/I+ltGhCx/nulnC+pJuq6bu5TCX6/H4qipMmCAzCHXWRZrih+XAzo96Dvlsvu17qnpZpSNj4nCEKaYjFdN/Igt+7b6DysNSz7dbY3b1prUdlQHeDJjLyuzJVXXmkuyvRfe3t72r+vXbsWwWAQDQ0NOOmkk/D8889nPaaiKLjqqquwxx57wOfzYf/998cDDzww43W/+tWvsGLFCvh8Phx00EF46qmn8jn1KioUpUps2Y/D8zxisRhYlk0rmFvlcai4RguBx+Mxg6J9wacgScV2ksygqQ2S3LQiW+ChaWCO42Z431YSaGqSrl0ikTDJhyAIZrIl16JIkk/lgiRJ2LZtGzZv3ozu7m6MjIwgHo+bC5Su62WVJsoEuo8EIdWVGwgE4Pf7wfO8Ka+XSCSK7kYOBAIzFm/a0NDn0me7ud8o8U8FxnKDngOn//x+P/x+v9lJTYleURTN55XnefNezEZKuidkqJqOiFh+WcxAIABVVZFMJs0mEq/Xi0AgAJ7ncedrw7j0gT6MJzUsrxfw49PacdjyhrTJloUAe1divokF8ni0Hi8QCJgkEoB5PyQSCei6nvZvtBmx+v2wLGs+BzzPw+fzZYxPJNWrqiqCwWDW5psq8keVV1ZRapRi00dWOQTa0Fo5JBXMKUFJFjwUSygpAkwXMe2JUbLnoULPfq08fnp6O/Zt9yOpGniuJ44jlvjRFEi9b8e4go/+uw+vDsxM3CWTSUiSBI/HkxYzC0WpC8K0NgcCAdOzl/6X4PP5zOn7XIk3KkiVK5EYjUaxadMmbN26Fb29vRgdHU2T3ZRlOWsxrlygBgziE4FAwCzsKopiroXlmPp34pQ+n881T6Tzmo3kr/X6ZOKU1DhH96EkSTN4ZTY+lpB1PN01O/cAx3Hw+XwYnojhg7dsN4vie7f58PcPrIKXNdIabK17imIbbwvFltHUPbimhP7iQHrTTLap70yw79cDgQBCoZAZ81RVRSwWM+8LQRDMBh6aDKcmSypyU5FL13X4fL6sey1KJhuGYfLZKkqDKqesotSgfGGxoGI4wZpPJC5BAzaSJEFRlLSJRbJ6pGKItdjGMAw+cWA9zt27fsbnJhQDn/h3D245fzkO6Zzew24bk3Di797G28POaxx54GqaZuZAi0GpC4F0PlYJdCuvpGtDe383a2A5uYlhGOjv78dbb72FHTt2YHBwEJFIxFTQMwwDkUgk94HKAGr6pbXL7/enqQ0lk0lzr1MonJotics68Uo39xvx3dlaQ63nmYlXkk0f5aaocZplWXN/VilDPHS+tH+kHBp9H8phWlVhBUGApmlF3w+VBLvVWTKZzDveWff31rw2/b2iKGZsokK63+83G3yoMYXyxDQ1TutPLl5J9xvdo9XGyvyRd9Zj7733xsMPP2z+2XoTrFmzBr/4xS+wcuVKJJNJ3HDDDTj55JOxbds2tLS0OB7viiuuwM0334wbb7wRa9euxYMPPohzzz0Xzz77LNavXw8AuPXWW3HxxRfjV7/6FY466ij89re/xWmnnYa33noLS5cuzfcrVFFBcPI5cQvajFInlrUwRokXa1CgjqhkMmmSS2C6qJsrCUhyvVQct8qpU5cQLXSZ/MVpksPqh1uJRTD6jk4Lt6qqaf7sbkELDm0EyrGYUhejtQju9XpndMDNJkjGsFxeMkQ0qTuRPMlJFskOhmFydiqKomgmDMtNeoh4FfMc2CfHnTAcU/C5ewfAMMCaRgE/PK2z4M/LBScFBWqE0HQDN708jrs3pWT9j15egy8eVo+mulBFxoJiYf9d7P49TrAntUiVgrrnadLb6Zmija+TQoNV4hKY7tiljvxczyh1YlIRwh4fyzXBuNBR5ZVVlAqGYRTMK4kj0uQoMM2Fksmkub5aeSX5zFqbn6jDG8CMArV1o22VbbQWsxc3CvjRGSH8+eUR/P2VUfy3J4lldTz2WR7AE7sSkFQDlz8yjNNWh/CFo9ogTKkeWZWPSsF3Sq3wQ1NQTutcIRM61iRGOad6qahI9xU1MpSj8OwWxCfKBbqeJP+cS9XITSOG1SKlnOdO+7JiPyMXrxyYVHD142F0RxRczjI4Ykl5m5w9Hg+2DEbw5fsHkZzyjH3nHkF88YhmyDYuQtea1IfmAglFR/dEilOtaSrdxLjTs0eN5pn2K3ZOSf8FAgEzsZ7t/U7XMNMe2e/3mwnmXPe6uS+YKjzZ1aUqVa2i0lHllFWUElQcKgQ0pADAbJwURdHM3Tg1W9P6SxPhlEcitQorrFyPYRhcdGQ7VFXDPZsnwQDgWUDRAR3Ae/+xC789bxk+Ikn44n2D0AEYAC55KIz92zz43js7TMUj+l8AZhGsWJDCRqlAMZyKtk6ghia3sOaEy6VCSAMQ1nXF2pQ1F7Aq5pTr+NRYRqqpNB2baY10w+uJ45S7CEhcoZjnwKpMWwmwqp1Z4ZSzpteSBc1CKYgTnDzfc91Tdj5JDZPWvDYpCDvB6V6w5o8pFtDxk8mkK05I+zWWZc1zscbAaq4yMxgjj9XiyiuvxJ133omNGze6en00GkVdXR0efvhhnHjiiY6v6ezsxOWXX47Pfe5z5t+dc845CIVCuPnmmwEAhx12GA488ED8+te/Nl+zbt06nHPOObj22mszfr59E09yy5FIBLW1ta6+QxXlg6qq2LZtW94kQBAEU55yKKZiRWvqt7QuniRLIUmSmehUFMX0CHdKztHf08bU3pXjVkqIFnyaRp+NBaSUSUE692yhIRgMAsjs7esGlCStJEnFUiMfz49CQbL++TxHbqSi6J4qp9wPEeRyd04ahoFLHhzEppHpe/W7J7bigI7yTMM7ESwAiEoarn9qBK8Opr7vB/arw8cPbYdSokJGpSFT4pB8eyjO5Io3Tsgn5lllikiCnxpIrCCpvEwJUvtnUoFckiTU1tZiyZIleX2H+Q7ieMVwqvnEK6ucsvIRiUTQ09OT9/tIdYXWOrvdDRU4SKqM1nb6OwCO1iOBQMDkgYqiIBQKpcX6XDHslYEkfvjMCCKiDr/A4t171+OON8eRUFLxsiXA4coTWrCsobQTmQCyForyRS7OQclhnucRj8cLLsqXu+haCZgNaW+v12tOMbmFG15JnKBc32G2mhZeHUziuidHMCnraPRzuPy4FuzZXPpnkCAIAp7ZGcH3nghDm/pJLjywAefs5bzukJTsXDZbvj4k4hsbhtAS4PDH8xaX7LiZ7jNqOi+UUwL5xQ+K+9aGJL/fn6YiYZ1kzLQftO8XqEAOAK2trWhoaMj7e8xX7G6cEqjyykqHYRjo7e3Ne5KXmiopBlNMtvJMKurSvwMwrUaCwaDpLW7NwdAUIeV9dF1Py1dqmgZRFPGbF8Zx35ZUcTzkYTApT8fDLxzWiDP2asQX7+nFppHpPTrHAL95Vyc66sozfVtqfpaLcwSDQciyXJR3ODU2LMTBBStmo2HRquLqBtRInC0/Zt2nlOs7UAPGXChElROF8PCFuMci9R+nXDcVkQvllfnuo+2xnGzcrHGOcpqZhgztnNI67CgIApYvX75bqRTlwyvz1kTZunUrOjs7sWLFCrzvfe/Djh07HF8nyzJ+97vfoa6uDvvvv3/G41Hh0gq/34+nn37aPM5LL72Ek08+Oe01J598Mp599tms53rttdeirq7O/G93S1pXOnp7e/MuuHk8HiiKgtFIHJdtGMQn7+zDn18aTgvsJP9C8mrUtUMeGZmmU6kTzOpbBkx7OLgNbCSTTvIps9FVVcrJHpqGdwJ1H8XjcSiKYvrvUkdrPh17ldQ1Vy7MRre/VfrRLUhWOhusiZx8fleSerFLDHm93jTJQWBaXrbc12nD9phZFG+ZkqT90ysT0Es8EUdwKop3Tcj48v2DeHVQhI9ncNmxLfjAfvXQbfK6CwUejycjeabitKZp0HW9oPiVT/c+JQpIYo0aeuzPAHXDZiKM9vOUJMm0QSD/sCryx3zhlVVOWdlQFAW9vb15v4+SA9Z1lGTwgGk7CErCUSyhZ5+mP5wSdPQ6ilcUE0miMhfWd/jxs9M7sG+bF0lFx80bx3DEEj/WTXn2hhMaLrpvEH/dOA5FK+16Vkrumi1ek/oHyTWSxyY1weaDSvHsm++QJCnvddmNRDr9ez7HpqSknVNa7xMrp6QCZTlgGAbu3TyJbz4yjElZx+omD244rb2sRXEAuOPNCK56PFUU5xjgyhNaMxbFgcrwpt48kop1q0t4bayFJDuoAalQTgnkN0lDU4oU462qcQRaGwRByLjnsscs4qiKomBoaKhsamMLGfOFUwJVXlnpmJiYKEjemuf5NI5HSkLWojhZ8FgniCVJMieV7bwUmJ7epklPaswBppssGIbBpw9pwGmrQzAAxBUDS2unY9vPnh/DT54awA9PbcPVJ7SAVgvNAP7vnn58/8nhvL+vG5RyXSJv9UygQiYNRlk5ZT4SyQttMjYTyv09c/k1O8Gq7poJpLYC5GejRbZ8mXilPVcZj8dnxVpyNpEvT7Lagy0U0KBOpr0jDTcWyitJ9cMtrNa1tA+zx01rU5RTTHVSFSFrCUmSMDg4uOB+x1Ihr8L4YYcdhr/85S948MEHceONN2JwcBBHHnkkRkdHzdfce++9CIVC8Pl8uOGGG7BhwwY0NzdnPOYpp5yCH//4x9i6dSt0XceGDRtw1113YWBgAAAwMjICTdPQ1taW9r62tjYMDg5mPd9vfOMbiEQi5n+FTJFUUT4UMiEpy/KUHxeH14ZSm+4/vzSKW96Iwu/3IxgMmptV62bSKrfjFuQtSxvdSvYCL2WAo05VKnDS5BRN1NM1JI80WZbNriWSGrWDPAjpPyIhC3FK1opKLniS3yn9xlaQDzN55eVzf1k3eFa/J5LAtnpiATD9tcrVvRaOq7jxxTHzzx9bXw+/wGDbmIynuvLvAPZ4PFnJt9P9/1xPAl99YBCDMRVtQQ4/PKUdRy5NxRPasC0k8DxfkO9jvp9RDjgl9wVBcCW13tvbWzG+UfMF84lXVjll5aOQmJNIJBAMBtPiutWfmNSH7PzR6/XmTM7ZQfY5kiSZXd+50BTg8d0T2/D+fevAAHhkRwIJ1cDZa2vAICWFeesbUVx0b79ZjCoWpS6sWf3WrLwyEAiYakxU2KKkL6k8OXFvr9dr+hJaOWWuhr+FgEpNaFCCkhKOTms0PSv5JGFZlnXklNR87GSVlEwmzQm9UkHRDPzy+TH85oUx6AZwwoogrntnG5oCxXORbPftDc+O4Lf/CwMA/DyDX7yrAwcvyp6grYTG42l/8dLwWyeLolKj2GfLmqS3gvY5VlDsyvaZqqqiu7t7we+VS4n5xCmBKq+sdBRaMLQX9ajgTXyFJsPte0arypAbkMUXSa/TWsIwDD5zaCNOWRWCbgC9kxoO7pw+n/u3xXHpgwNYvyiAez60DJ010+vYk91JnHdLNyKJ0jblFOtRbgUpe9L19Pv9ZuHbOuFNHMHKKTMVXK1e0VZeWQmNZuVGpTaVUrMs/Sb238IqMZ3PXowaVzLxSnuuks6lkmsBVtDgWilBFpsLCT6fr+x82W1zY0LR8cTO2Iy/d/I7z/S8uqmtRCIRhMNhV+e0uyGvFeq0007Du9/9buy777446aSTcN999wEA/vznP5uvOeGEE7Bx40Y8++yzOPXUU3H++edjeDhz59lPf/pTrF69GmvXroXH48FFF12Ej3/84zMKSvZA6NRBYYfX60VtbW3af1VUDgopGnIcl5KCYAzs0zadSPjbxnH8+Ik+TMZijolGkmsulJRVaiKKUMqFStM0U8qSErjUCZ+LqNsnNaigRNP41g57kuleyKhkMk3NDPQbW0E2AIWgkGeMOvJKTeIMw8DPnxtFcoo/NPhYHL0siPPWpdaCv26cyGvKjud5MwlLnaVOn0nE2TAM/OP1CXz3iTCSqoF927z48WkdWN6Q/j2LiU2VAGssZ1m25D5iTiCv72KP4bYhw6lz3w5d19HV1VWxG8xKxHzilVVOWdkotBGNVHBIkpI2/8RTMm2ai218yydGciyDD+5fj6tPbEW9j0XXhIIHt8Xw3r1rEBBS92zfpIqvPDCIG18cg6gWxwlL3dRHk0zWTnirF3s22H04/X4/WJY1mxWsnHIhTnXYUckTTPS85Fov81kjNU0riEsnk8mcjYxuERE1XPHIEB7YFgMD4OPr6/HlI5vg5Ys/Nu2RqFGEeLCq6/jqAwN4ZEdKvrM1mJIkX1KXmyerqjrn+9atU006a5oK42nW/aHX6y2Jx20u5HOv3fLaBH7+3Ci22JqRnJ5Pqy0HMD3t6OY7JZNJ9PX1zfnvOV8wnzglUOWVlY5C81TUUEkNkGS9RXwlE8eSZbmoNcuau2EZBp87rBEn75Eqjr88IOFda0Lmv78VlvHR21ONGL87exG+dETj9HloBj54Rz9+/+J0Q0mlgbylrWpwqqq6knrWNC3tOlPzu1Ou0qkwtZBQ6bLK1hyyfR2kP+f7nBaa4yTf6EqH1RM8EAg43r/5coqFkLe3nn++A5OFItf9Epd1/OP1CXz09l784JlR3Ld5Mu3fDcNwzDfbB9dI/c5N/BseHi5ICWWho6goHwwGse+++2Lr1q1pf7dq1SocfvjhuOmmm8DzPG666aaMx2hpacGdd96JeDyOrq4ubNq0CaFQCCtWrAAANDc3g+O4GR2Xw8PDMzozq5hfKCR5Ze1WOmxxeqC5b8skfvD0CMDODNqUdCg02cdxXEV3SZXj3AolgTSpQQvxQvflWejIlzgV2gyg67ppd1AqbNgew8sDoikTdsKKEDiWwbl71aLRz2EwpuL+rZNZj0Hged70xQZgdpbSJJx1Y6EoCkRVx/VPjeDmV1PE41171uDqE9tQ55sZgyiRxjCMKeM0n0Bd2jQtNhvTSoZhQFGUojd0Tu8vhigrioKurq6KXi8qGVVeWUWhIGWbYkBc0boRzRRnRFEsqvnN6/Xm3URzQIcfPz+jE/u3+yCqBm57cxIHdvqwrH76/O7aNInP3t2HVwYKj2PlULvRNK2ohBJN71DycnfFQpBWzpdXFpqMoym9YpJ5O8dlfOn+Abw5LCEgMPjWCa149951js++3+/P67OsHrTUKCLLMkSdxf/dNWBaAO3d6sXf378KIY/7fZk1YUzNJLOFsYSKcEIDywCrC5gYJ19GUu6YrQl4SiS7wX97EnhwWwzjYnohXJblGU2b9j/n+1tUJ3wKR5VTVlEMCm20s6qjkEKf9bnPto4XkwOwrz8sw+Ciwxtx0sogdAP4z9YYLjyw3vz30aSO827pgqIoOHGPGvz7gk40+KbP885NMVxwazcSFco7Ci1aq6qaZv1HlptOKGZYZD6gktUty4Vifs/ZLo7no1pAOUkqjlKjqtNATyEDJnQeHo9n3jUh+/1+U4UsGAzOWn0i0/0SkzT87dUJfOLOPtz8agRJNcXZNw7O3N+Ww9e9t7d3t95LO6GoXZIkSXj77bfR0dGR8TWGYbj6MX0+HxYtWgRVVXH77bfj7LPPBpB68A466CBs2LAh7fUbNmzAkUceWczpVzHHaGxszCupSJOI1P108OJg6u8th3iqK4HLHuhBQpm54KmqmncSkxYR8qitVJRjgiSZTBZUdCKPP1mWyxLI5wussvPzGbO5GSBJML/fXzRRD8dV/P6lcQAAPfbvWJmKGT6exUcOSsnm3fpGFCrjnMi0Ekjq/raDpu4VRTGTeP0TIr720DCe7k6AZ4GLDmvEpw9pBM9mjj9UjCEZp/lCOEmNgzx5iy1+5ANd180NsdfrLSj57XR/W8+fVALyQXXCp3BUeWUVxaCpqSmv13s8HjNmUcyVJAmKopgTnJlkoXVdz3t9pGPSelJIjGjwc7jqHa344H51YBng6a4kNN3AIYum16vhhI5vPjKMG54dwaSUPz8sl9pNoWoa1jUm1zEqmasXi3ytbSoV+fKbYvggyWIWwkue7U7gkgcHMRzX0FHD40enduCQDDLmNKFDn+V0zhzHmYlInucdC75dEzI+dNsuhOOp+/yMPevw07OWm96xbiGKInieN58bjuNmbdpn65SM+pI6AX4h/1QT+e6SygRZJ8wGJEkyE9GZ7lNNN9AbTf0+S+tm7pPthRr7frqQ+7k64VMYqpyyimLg9XoRCoVyv9ACn89ncj2fz2c2Pdk5pVNBtxCOZJ0KdSr2sAyDzx/ehBNWpIrjf3xlAl89qgHc1HIia8B5t/ZjJJFqAv3re5bgI/vXme+PKwbOv7Uf/36z8uJPpmlKNyD5+VwFstlae+YKC2EanviOWxSr7JdIJCAIQtntm8hChmKHEzwej8kpPB5PxvvZaaAn39+emsdlWZ5X0vIMw5h8m9TFMvH0coBUQgRBgAQBf92YKojf8noEcVmHdyoYr2wQcMnRLTPe71Tnsecf8r2nDcNAV1fXgmi2LhXyehq++tWv4oknnsDOnTvx/PPP4z3veQ+i0Sg++tGPIh6P47LLLsNzzz2Hrq4uvPzyy7jwwgvR29uL9773veYxPvKRj+Ab3/iG+efnn38ed9xxB3bs2IGnnnoKp556KnRdx6WXXmq+5stf/jJ+//vf4w9/+APefvttfOlLX0J3dzc+/elPl+ASVDFX4HnetWRUIBAwJwSJxCwOMWj0c9ANoC2YCmwsA7zUF8flG4YQEWcGkXySCn6/31xEKh3lSpQVUhgnn3FKDmUjKpUsNV4sFkoCM99kXCkK6clk0pS1LQQkoZ5QDLQGUzFijwaPKWEeCARwwlIvFtXwiIgabnllxJx2JsLo8XhMqW23TQ6SJOF/O8dw8f0D2D4mod7H4nsnteHU1TU532snNEQ4c5FWhmHmlJja73Hy0CUbhWJByUlKJpA0KnlN0UQYSdaR769bOF1faxJTVdWCuvcjkUhVUt0FqryyilKirq7O1UafYogsy6bXHMn0+f1+06PQKqXohHzWO0pCZJtMcQuOZfD+/erx3RPb0ODj0BtV8eqAiGOWBWBdrh/ZEcdn7unH013xvPhIubiZLMsFJZJoapTWu2znV+mykMVgoXDmQhpKikU+iUzdMHDLaxO45skwRNXAAe0+/PjUdixxKIICqd+F53kzeUUJd0q80WSaruuQJAmCIDh6WD7fE8fn7xuAODU58n8HNeAzh9SbDaP57imsHMRqA5TrPhIEoajmzM2jJKOeP3dySuyKoghJkuDz+UpSpCB+SoUrQRDMxgGybAOmFdDs98xwXIWsGfBwDFqDM/e4meTUCYVOwI+MjBT0vt0JVU5ZRanR2NiY+0VIxS7KHVAco4JdIBCAqqppnLIU+RLisTQVmgkcy+DiI5pw/PIgNAP4yX/HcdlxLQhOWfEYAD52Rz9e6UvF3vP3rcdtF3SaVj0AcNMrE/jIv3oK5q/lGrQodAjH7/dDkiR4vd6svGAh7+UXkrJnPrkaXdeL5tOKopRsmMcJHo8nTXmCpMyJm1FDtyzLMAzDtc86HYvULPKBXT2BrK7c7Ltobz0X8Pv9M76rnacXC6sChc/nA8dx5m/Fsiwiko4b/zeMD/1jO259I4KEYmBZvYAjl/ghaQb8AoOvH9sCDzfzvnS6vtTESSik8VVV1WrDpQV5XcHe3l68//3vx8jICFpaWnD44Yfjueeew7JlyyCKIjZt2oQ///nPGBkZQVNTEw455BA89dRT2Hvvvc1jdHd3p20ORFHEFVdcgR07diAUCuH000/HX//6V9TX15uvueCCCzA6OoqrrroKAwMD2GefffCf//wHy5YtK/4KVAh0Xcf4+DjGx8fR0NCAhoaGBdHBlQ00HekG5COjaZoZkBmGwfoOPx7ZEcN+7T48sSsBWTPg4xlsHZNx6YODuOrENrSFpm9zt4sgFcXnA0hyrhwgiaJ8yKw1qUBki+RLGIYBx3FQVdVM0ixULISiOJB6Ztx+F6/XW7K4RR73hTyLJKEusJiaVtHwjj2C5jkmEglwLIOPrm/ANU+GcefbUZyxJoTGAG92ZxLy2QD+Z8skfvvCGLSpQvzlx7c4Js3cgs5DEARHUkS+hdRNOtvPU7bfRlEUKIoCnuezdrDmgt2bkaCqqqkgQv8uSZK50S0GhmGk3ceZJrtyIR8P890VVV5ZPsiyjOHhYciyjJaWFoRCoQVTWMsEURRdxUFd180pSmtsytfL1m3MJRugUnO1/dp9+Pm7OvCjZ0bwyoCIp7oS2L/di22jMuKKAY4BJkQd1z01gsMX+/HpQxvRHMi9JlXSfWL9jayTVyRFz3Fc2msWqixkprVwPsItT6Rmt1IlpomXZOMuoqrjhmdH8Ux36n46a20NPnlgA7gsij923kigvSv9f+t5AOn8+l9vRvCnVyYAABwDfPP4Vhy8yG/ynFIkrynuAamkqz2RRtwnHo8X9RxtmZKAL8RfPNu9QXtLajwulOsJguB4PUle0/q7JJPJGUWT7kjq91tcyzveF058kZKYiUQCqqrC6/Xmff6kMlJJ8bnSUOWU5YNhGIjFYgiHw/B6vWhubl7w07QAXMdeeu6teTAg+xSnE9zmXCieuAXHMvjSkU3QDQNPdiVw7ZNhXH5sC/748ji6pxQwvvlYGB/bvw7v2bceAUHAbRcsxW//N4p7tsQAAGOijnNv7cdXjmzECStzN/0X8r3yhaZpeeeKrNeO4rDH4wHDMNB1HRzHmUMR5Ee+EHOWVjuX+Y589mOCIEAUxZLck8lkEgzDlPwecTqWqqpQVRWCIJh8ll5rrY/k+l6kllYKmxqKdcRVnTicpmlzNmHOcVzW2ED3P0nQF7pPp7y1FclkEkmdx22vjuHutyYgaanfZWWDB+/btw5eHrjy0ZRNzucPa0JnjXPOkOM4x3w0DfIoilLwbzkfBkBnC4yxUKo3LhCNRlFXV4dIJOJ6UrncMAwD4+PjGB4eTtv4cxyH5uZmNDY2Ltgkz8TEBHp7e4s6xjO9Eq59fBArGgSctroGv/rfGDgGqPWyGBd1NE5JTtKkqBvi5PP55lWQKLenbz7E2+250ARFIpFYMAXkhQpacK3w+XymKgAl/AuVhXWDfJo/wnEVn7u3HwnFwHnranDH25PgGODP716M+il/b0pIGYaBSx4cwqYRCaeuCuGiw6dleClpSP6yJJFpTSYSqZRVHb97cQz3b01tHI9ZFsAXj2iCj8+e/CUljEKS3TzPpxHh2fL2JtAmwO3vUmyB3A76vvbvTT7t1HxDyER4syUnA4GAOTFUyHm3tbWhpWWmJNJCQSVyqtlEpX5/WZYRDocxPj6e9vc+nw8tLS2ora1dsIn1rq4uTE5OFvz+cjQaCoKQ1tRZDuiGgX+9GcXNr05AN4D2EAeAwWBMNe2GdAMICAw+cWADTl4VApvlHsg34ZovnHhFsedC01qxWKzY06tIzKeG3Vxw+k0pYUZ+rKqqlo3TZFr3h+Mqvvv4MHaMK+BZ4LOHNuLkVbmT/zQBno0DU3GVkpaUdGcYBjf8dxQPb0vFrYDA4MentmNxXWrfGgqFEI+7V3zw+/1QFKWgZgLrPZbPM2qFbhh4/209iCsGfnp6B/ZodD/Fle/+u9ACudOzZP2+9vuTGhwNw4CqqmYTw4mravGlwxvSjkPy9U4g3kx+w4XkGtasWVOUB3Elo1I51WyiUq9BPB7H0NDQjLhdV1eHlpaWsksKzxVUVcXmzZuLym/ky6fcrPXFcDRNN/DDZ0bwVFfK7u2K41rx0NZJPNs7/ZnHLvXj0mNbzT9HEgo+flc/ZAs9XlTD47dnL3L9uYWuKW6Qbw7E7bmQUst8ygvng4XEK+33AM/zZo6SZVlTZbBcw2Sl3je5OR7xZhpEoXwsz/OmXYOu62ZBvZBzpbxnod/Neo+Ve2/phHw/s9ACuZ2/jiZU3L0liXveHoc8VRBf3ejB+/arw6GL/BAZDy78105ERA2nrg7hosOazMYCe7zJ9h1oP+Pz+SDLct65Bp/Ph1WrVuX1nvmEfDjV7JhNVTEDhmFgYmICw8PDjguzpmkYGhpCOBxGU1MTmpqaZs0bbLZQV1dnTjQVigM6UhIVO8cVHL7Yj5cH/HiuJwkPx2BJLY+eqIqvbRjCt49vwV6tvpxBjjrI5hPKrSyQSCRcLSpEPtxA0zTE4/FZL+bNFso5xT/boC4169SytUtxNrxJaMo7F6wS6ns2e8ziz0GdfrMoDsCcMtM0DR8/sB5fe2gID22P4ex1taZUJsMwaRPbRChlWU67ZyOihuueGsHrQyIYAB85oB4fPrgtZxyxPlP5JgMpuWYlubOtMJJvsZhIeSEFcqfuV5rilmU5LaFOE0/260ETOtbPpaYz2jDRcenv6XgLpZu6ioUNRVHMgrhTEk8URfT09MDj8aClpQX19fULrkC+ZMkS7Nq1q/CE4dTkCSUXcsENhylnMpDAMgzO36cOe7V48f2nRzAY0+BhU35lO8ZTn13vYzEh6vjF82N4fGccnz+8CYtqnbvTy92w6HbCJ591ppCEwHzCQntWAaTJes/mOitJ0oxn981hEdc8EUZE0lHnZXHZcS3Yu9VdsUdRlJw8zp6Y5Hkeqq7jaw8NYfPUhHVrkMMvzuhEwMOmNWfyPJ/mkZgJPp8PyWTS5DH57EPsahmFTun3R1XElZTM+LL6/BRz8t03FTpB7hTfFEUxr5ksy+a9STZu5Huuqqo5Md4ZZGfEd5o6tE520+9Hx1qI+94qFiYSiQSGhoYQj8cd/z0SiSASiaCmpgYtLS3zxnPWLXiex8qVK7Fz586C+YUoinkVW9ys9cWoqHAsg68c1QzNGMGz3Ql874lhXHF8K1Y1efCXV1Oyuk92J9F9Tx9+cWaq8F0XEHDH+5fhmseHzQJ636SKM2/uwvdObMF+Hbl/93LmxWRZhtfrhaZpWa8NNc+7LQbPJx/lQrCQODP97vR7WRVyZgOl3ue5Vc0k7syyrMmB7HyT/p0sI+PxuKtjU2M3caJ8r+dcFMKtKGQgp9AJcso7jsRV/OutKB7cOgll6vHas9mDjx7cisOWhACkmpO++Z8eREQNKxo8+L+DUg2WxPntIMVdhmFm8Epq/Jhv9atKxMLW6q5AUEF869at6OvryxlEdV1HOBzG5s2bMTAwMCtFqNkCwzBoaWlBS0tL3kV/8hlsqfFh1ZRU26uDIr5weBOaAhyG4hpWNnqwrsWLuKzjikeG8Wo4t2RIVfbWGdmSDeQB7PF48ibqC9UuYCGpPFgXYPLGmu045DbZ9dC2aQn1LxzehMd3pTbyJ07JqBNoIgkA9m714bDFfugG8JeNqQlLmjgOBAIZJRcBYMeYjIvvH8DrQyL8AoPvnboE79u/0dwE+3w+R59GO1GkTj+3oK5AK2bzWbLLD+cD8lgjzzU3cFof6PcBYN6XkiSZ3bHWxCfLspBl2byPaP2g15HEMd0X1uMVg4Ua36qoLKiqioGBAWzZsgVjY2M5i5qyLKOvrw9btmzB6OjogkqMsCyLpUuXora2Nu/nj3xnAffJonInMPPFPm0+/PyMDhzU6YOsAzvGFSybavaaEHV01PDwsMAbwxIuurcf/3wjAlVPv1/sMqDlQC5/P6snZz6wrgtVVC7sHoVzkTiz8oqHtk3i8oeHEJF0rGwQcMPpHa6L4gTifZlAkyBkOTQWE/HJf/ebRfF9Wr34/dmpojgA0zeWmlMVRTE5qROshXmymnG7F3FKxhUq2b1lyl98VaMHfBb5eTsCgUDBewvyIPd6va6knTPFd/LvVFXVtCkiJQDrutozkTrPJXXTDcPky05e9qRaRAlq8hUudj2o8soqZgPJZBJdXV3YsWNHxqK4FZOTk9ixYwd27tyZl8LFfIDf78fSpUsd9/O54PP54PP58pJ5zlV8KtTeK+0YLINLj27GEUv8UHTge0+EsabZi6tPmFY52xVR8f7butPed9nxrfj1mZ0gG1wDwGWPhHHJA/1ZP48aTssJSZKyrnkej6eg4h7ZLi1ELJT9HxUIaaglkUjMeqGQGuhKCVEUMx6TGvl8Pp+rJm1d1yGKIlRVNZ8Dj8dj+mLbYbcAy7dJxKmxebbvt2L4Ur4e5IOTCn75/CguvKsP925OFcX3avXiulMX4cendWK/5pSkezKZxM2vjGLjQAI+nsHlJ7TDO6Uwquu62WgLpK6hIAiIx+PmQBQ1cRJHdWshlwlVTjmN6pWYZfT396O3tzdvQmMYBkZHR7Flyxb09fUtmG5jhmHQ1taGVatWQRAE1NTUIBgM5nwfyXAnEgkc0J5aMF4eEFHr5fCVI5vBAHhiVwKnrgrhkEV+yJqBbz7Ui4e3Z5dYnG9Tvl6vd1YWfqdFmWQrSQq6kE2QKIoLUn5rIS0ytCGYS6klIibZMBxX8fuXU4XtDx9Qj7GkhtGEhpCHxaGLZr6Xuh8B4KMH1INlgP/2JPF2WDQ/E8jcAfp0VxyXPDiIcFxDZw2Pn5+5FPs1s2ZHpizLJlmxJjKdiCJNumQipwBM8loJPqOlkHG0FshzxQCn54mSxtZrS68TRdHsHgem4xdNKbIsm9HGIZFIlGxjs5DiQBWVCV3XsXXrVoyOjua9BiuKYhbUw+HwvOM/mcDzPJYuXYpFixbB4/Ggvr7eFc+g5q9kMumqQOPxeHI2z3AcN+t8vc7H4dsntOJj61PrWldEQaOPhYdjMDCpotbHYW2zB4oO/HnjBL5y/yC2jU5/D5qMLDecrgslIGh9KKQwV2xDUxXlhyRJppT4XCGZTILlePz2hTH87LkxqDpw1NIAvn9KO1qDhSm00YSPHcQ5yP5mx6iIT9zZj9FkKuaeuiqE605uT+MMFLPomNSkSQVy67PhNK1OybNsvNLv95uNoE6JtUKU6raMpp7r1U3ueWKppl0kSTIL5NnOPdNaJ0mS45QVqQ1JkgTdMNATTa0PS+sEU1VNURQz0Wzl+BRLS8UHq7yyinJjcnIS27dvL8iWJh6PY+fOndi5cycmJycXTIE8FAphjz32QF1dHfx+P+rq6lwVSyRJMosXbji2IAiu/IFLgVRxvAWHL07lSa96PAyWY/CHsztBq8ukbODsv3UhYeHES+oE3PXBZdindfo83h5RcNbfurBrfCb/cqN2Ugo4WaSwLGuqf9gV/9zCMIySFzwrBQtl30dqgZUQb0qp7mQYRtowjxV0v+u6DlmWXX13moImm0AAZnyycld7UZxAfJSGf+wgzpmpwWc2C+Olssa1FsidMDip4GfPjeLD/9iG+7fGoOqpRtdrTmrD9e9swz7NfNq1fXUwib++PAIA+NxhjVjZnKp7MQxjnq+u66aKE3F+a14iVyNuPlioTT+FYGFpc1c4NE3DxMREUccgT/Lx8XE0NTWho6OjNCc3x+B5Hnvuuaf5Z1VVMTk5iVgsBr/fb0pv02bTuugc2OHHv96M4pWBJHTDwH7tPpy/Ty1ufSOK3744hhtO60Ctl8UjO+L4yX9HERE1vHvvuhnnQN4j8wmzQQCcpkOdpFEK7YJfiJv8hSZ5WQnEmZJPTr6ThmHgF8+NIqkYWNvsxdlra/GT/44CAI5dHoDAOf8e1P24FMBJK0N4aHsMf94Yxdpmr/kb2mW8dcPA316N4NY3UnJj6zt8uPLkpeC0VOwg4kLeRpQAziUhbpXstpI5kmWUJKkiGqI8Hk9Jk9k0TZONwGZ7nkhCyDAM00/Jmoi0d9bTufv9/ozXlKRLi53sWUgKL1VUJqLRaNHxWVVV07pn8eLFFeVrWQzq6upQVzfN9WRZRjQaNTeUsiwjEomYz2m+/E+WZVOhIhPc2oCUGizD4D1712Fdixc/eHoEIwkNPAPUelmMJDRMSjrOWBPCE7sS2D4u48sPDOK8vWrx0YNaZuV87RyS47gZ6iyFWu1ompbRQ3o+oxISfqVCJXyXqKji+qcGsXEwxTs+uF8d3rdvXdH8XRTFGfLaFCcYhsHzvUlc+fAASKjh/x3cgLPWzoy5Vv5BvIV4EjXwkdpQJu5EhQD7Pov4Ty4uV8j+bPNI6rlb0+y+kEDN7qUCeWxmkpPPtmZSQwFxXesxNE1DTBMgqgZ4FuioSaXR6NwzTSO6kdp3C1mWF2RDeRWVg/Hx8aKPkUgk0NXVBZ/Ph+XLly8YO8glS5aY/5/27dFo1Nzni6Jo5noL4SFuCkelLC4JHIOvHdOCa54M44W+JK56LIxvn9CKOy7oxPn/7IeiA5oBnH9rP359ZqdpNwcA153cgTeGEvjGhjAMALoBXHTfIA5b7MM3j28zX5ev9VqhsK/dJK1ujcmFqFsCC7fhcqFMjAOV8V3IpodkzUvBdckK0MpbrPlEwzBcWefY96N232/KiSqK4lgUt7/PWuxlWTZtaDHbd5ktlDp3bZe274sq+OcbETy6M27y+f3bfXjfvnXYt803470MwyCh8/jh070wAJy8RwgnrAghmUzOsHigvS/JpTtdU7dWt7lQCbnlSsHCYCnzBNFotKTJgEIkfeYLeJ5HQ0MDGhoazL8zDAPRaNSUlCdPsQOX+eDjhzEh6tg1rmBlowfv368eGwdFbB6RccOzo7juna1oCnlx22tj+OMrE4hpLD51WCtYC4ly8rElSQu7twORL6vX8mxjtnw7qGOJkgxOAboQaSIg3Q9lIWGhFcYrBVbPb2tX9b1vj09JqDO4+IgmSJqBZ7tTrz1xZSjnMb1eLz6wfx2e2BXHG0NJPN+bxOFLAhBFMS0mJBQdP35mBM9N+Wuds64GH1/fgBovB/ujSD7mlCCliSE3IM/rfDaTs5VoLlcjC3WrOpHmbN2MRHyp0GWVerImKqzIFa90XQfHcTmLXrkwOTmJ1tbWgt9fRRW5UGyzpRVkMbBQ4fF40NzcnPZ3ra2tCIfDiEajpmoHNds4NWHZ4fV6oaqquXm1w+maWqXQnHhlKXnd3q0+/PT0Dvzkv6N4oS+JqKSbXuP3bYnhrLU1GEuoeLo7iX+9GcV/e5K46LDGGZv6UoIavTiOM3mlJEkz4nShXeylKkBVGioh6bdQ0BNRcNXjwxiYVOHjGXz5yGYcv6reLN6QxQp5QufDr0h228of6H/veHsSN72YatrkGODbJ7TiwE7nvbzT700qWzQZLQiCq3udpk8otrndr+XL9xTNwM7xVMzc0+XEOCl1lBqqqkIQBHAcl/H3y7R/p2KKtZgXCARgGAbe7Eud66JaARybPrWf7bpSQ1ax3zUWi1UL41WUDTSYUioIgrBgiuJ2MAyDYDA4Q+mypaUFAwMDZgz3eDzgeR6GYUCW5awFG1EUTW5I/NAKsriw8kpap6x7V8oj0L9ni00Cx+CyY1vwvSfCeLE/ie88NozvvKMV//7AMnz4Xz0YF1Pf4zP39OPrxzTh6GXTeZV92gK450PL8Ll7+tAVSe3fn+8Vcc7fuvD7czvRVuPez7sYkIImxfxMOZdCz6XUQwGVADfF1CryB+0bKY9H9QX6T9O0vAvEtD+1+okTslk+WpEpN20tsIqiCJZlXd0X9D39fr+p4pgLs7WPKVeNJJlMYkTm8NeXwnhsx6RZED9oUQAfPagFq+oz5w01Xce1j/VjXNSwvN6DLxzTgYCHN/cLdssSmtrPdq9Ym2QLBQ0JlUqJZD5jYTKVCkUpE5jBYDBtEmZ3AMMwqKurQygUQk9PD3RdN4Pevm0+vNCXxMsDSayc8jW75OhmfOG+AWwakfCPN6L4yP71CPE6/vDyBP752hhGYxK+cHiTaw80p8Dk8/nmpDBejul2SlBaybSmaWZxsBxNAKWeEqhi94D1XhyOq/jN88MAgA8fUIc1HXW4+/VhSJqBxbU81rhIzmmahuYAj/P2bcQtG0fx540TOGSRH4GAz9xQDkwquPrxMLojCgQWuOjwJrPonpEETRHLfP3AqPszn2djNjY35S44ZNp0upng1nXd7KClhLGmaTMSMm6beEi6qJj4RH6SCzUpVMXcQlEUxGLZ7WHyQXt7+253r7Isi7a2NtTV1WHXrl15e3VRLCmEG5FaRrlR5+PwzeNbcOfbUfzplQlMiDqCAoO4YuDuTZM4ZJEflxzVhD+8EkFfVME3Ngzh1FUhfPzABgQ9hTdCMQxjJimtCVpqDABKv24xDDOrEwmziWphvDR4oTeB7z8zgqRioDXI4ZvHt2JFgyejzCqp/+STFCeve0o4yrKMHzw1hMd2pvhEQGBxw2ltWFTrzE+zJaypOC6KYl5xh+d5V17BVuTb5LtjXIaqp5Qp2kLu1hLy4y4Hsl0fN9K4lJikKTCGYbB9JPUbLrVMTrrlxolEomAlDMLk5OSMBq8qqigVSjnEw7IsOjs7S3Ks+QSv14tly5ZhbGzM9PXN55nXNK1gbuTEE9wMUgkcg8uOa8H3nhjGS/0irpwqjv/1PUvwlQf6sXkkFUuve2oU7x6R8PGDmtLe/8szF+HprhiueyrV+KUawMfu6Me71tbh0wfXF/RdnEANldZcJQ0xAbkHlgq5t2lAaKGhWhgvL7I1pPh8PmialheHoyIoNcAQiG/muvezNTpai+P57DVyNQQ6oRSKjNlQKmseO7omZNz6egRPdSVAUeSQRX68b9867DmlkJStrvHPN6J4uT8BL8/g0qObAFWGwgK/eHYY5+7TiFZLvyPP81mn9q0oxTMci8XQ2NhY9HHmOxaehnGFQlGUvDekmcAwDDo7O3fbqVSO47B06dK0oLq+IxVNXhmYDoTtIQGfOzRF3G57I4I3hkSct1cdvnRkE1gGeHRHHN97IgxRLTzZNFdygCQvXyy8Xq/p0auqqimtR1Io5F2SC4Veh4VINKuYPRiGgZ/bJNQTiQQe3ZmKte9YGXIVJ4lUnrtnEDVeFj0RBQ9vj5nSQm+EVXzp/kF0RxQ0+jlcd3I7TlwZgiAI8Pv9WQlYPkk/lmURCATMgmo+mI2keSWvORSrAoEAeJ5HLJHAqX/chtP+sBldE9MJiXy+Qynie7Xxp4pyIRKJlOxYwWAQ9fX1JTvefIPP58PixYvnvPhYrsYElmFw3l51uP7kdrQEOMQVAxyTmlp9oS+JW16P4DsntuPU1almrwe2xfCZe/rxXE/+8SsQCJiWFqTiQZzSrX87UNh6QxP8CxHVBGZxMAwD/3ozgqseDyOpGNin1YsbTuvAiobszZOqqqYp0bgFvScai+Hi+/rMonhbkMNf37ssY1GcJoyyIZ9nw+PxQBCEkuUgsmHL6JSMepPX1TnOtc98LpD3OiWdJUnCztHU+VolhfOJOcX6OSaTyTlfp6pYuCiFjDqhra3NzDHtbmAYBk1NTQiFsqvWzda5uIGHY3D5ca1Y3+GDqBq48tFhvB0W8aNTO3HKHtPr3+1vx/DNhwdnvP/oZSHc+6FlaA5Mx7h7N0Xwnn90p3mUF3L+Xm9qTdE0bUau0q1/Ox0rXyxUD96FaGU5X0CNjfmqvzAMY04X0+9H09qZYi3lFrPloziOy6tIT+pqhRSgy/08UfNAqbBjXMa1T4bxuXsH8ORUUfzwxX785LR2fPuEVrMong1vDIn422sTAIAvHNmG1W01iOkCPvvvXbhnUwSfvXMXJsRpHul2ah8ojTz9bOwP5gOqEXGWUMpp8dbWVledzgsZ1k5BIOUzDgBvDotphe7jVgRx4sogdAP44TMjmJQ0nLgyhG8e1wIvx+CFviSueHgYk1JhCSfDMODxeOD3+xEIBBAIBOD3++Hz+SAIQllIB8dxJUkkEMEsxRR4oQWkSvAZLAcW6veqNDy0LYZXBkR4uJSEOscyGIqpeG1QBAPg9L3cT1UkEgkEBAYX7JNS4vjbaxEkFQ13bYrisof6EJN17NnsxQ2nteOAJfWmWkS2ZzGfCWufz5fRR8YNZqMYMFe2B9mkMAmGYZjem5Ik4c1hCQYAWTPQYZlcylcStRgsWbJkwfg1V1F5KBWv3N2bLQmVMC1P0zBer3cGr6RGxmJ+p3UtXvzsjA4cusgPzUh5R3o4Br1RFV97oA+HLw7g2ne2obOGx1hSw3efCOO6J8MYT7rjyNQtXy3clB7Va1o4JFXHj54ZxZ9emYAB4NRVIVx9YhvqfO4TdDRR4zaRaRgGBsai+MS/+7EpnOKB+7Z5cePZnfBPhRryouQ4DoFAwNzfZeNz1DyZCyS3K8tywfu8fDnQlpFUE+KaZneSjHOZy3CTnFUUxUw607XojqSupXViPJ/iXzHxm2VZrF27tlrQqKIsoIJjKeD3+6sTaKichnJBEODz+Rx5pTUWejgGVxzXgv3bfUiqBr716DA2hSV8/ogWXHTotL3lK4MSLryz1/Gz/nTeYnzKMiUuqgbOv7Uff3+1sOuKuI4AAQAASURBVKYLv99fMr/mQmLnQs3pVcq9uTuDBnPc7j9FUTRzcU78iWEYUxKb6hNWhV0nkFqsG57I87y5zyv0uSg3fynVfb1tVMJ3nxjGF+4bwDNT9pxHLQ3gZ2d04IrjW7Gqaeb1d7omEVHD958egW4A71gZxHFLvXho8xg+/s/t2D6euuaLannUWBTa8uXsxXznuro6LF68uOD3LyTMfRZoN4BhGCUtjO9u3lKapmFychLRaBTAtF+RtZNmUS2PliCHcFzDG0MSDl40LRv0qUMa8VZYwsCkip8/N4ZvHNuMQxYH8N2TWvGdx8LYNCLhaw8N4ap3tKI56P6R4DjOlTQS+dxavSSBaZ/JfBeWYnxuqPimaRpkWS5ZMa2asEtH9XqUH8NxFb9/ObXJ+tD+9Vg8laR6dEdKWni/dh9C7Ew5bJZlzc5jkh0i/x8AeNeetbh3SwyDkwoueziMrVMTMCesCOLzhzfBy7vzZyQfyFyg8ylFMqJYT+y5Ona2zySZpnzj5KtT6iEeDvDw02Qzn+9Q7PetTvhVUS6IolgyqTCSiN2dIEkSJiYmkEgkwPN8RRTFAZh+27m4mZVXUpLBLlOeCTXelLT6XZsm8ceXxyFrBgQOiCsGvvPYMD5yQD1+dno7/vFGFHe8FcXT3QlsHBRx4UENOHFlcMa9EggETM+8ufb2Xqj3cVXysnCMJFR874kwto7KYBngUwc34vQ17tSE7CAuKQhC2nNm9ZClZ2DHmISvPjAISUtxl7PW1ePiYzrS/ASte0g3TZFu7V1oYqZYxZr8C+PTE+NuMBfPK613hVwbwzDQM1UYt06Mz9b3IN/7KqooB0qdqyQ/7N0BhmEgHo8jEolAURQzV1kJihg0BJOLG1Jjps/H4NrTl+GyB3qwsT+Bbz06hKtPbMOpa2qxslHAlx9I2dcNxjS855Zu3PKejhnNQe89oA2n7hHAR/49gEk5FbP+/noU922ZxJ/Omfl6K8i+hM67lMpr+UxiLnTsLs9mJYMstZzUrkg9iCazrblKYHoSHIDpXU5KXQzDuKpRUGOmm9cS/yy2dlDu+67Y3N3mEQn/eD2CF/pSsZsBcMyyAM7ftw7L652bPqkJ1R7vdcPAj58dwVhSw+JaHh/Zvx4/fHoEj++antBeVifg+pPbwVkaBgzDyEtynuO4gn8XVVWrsWAK1ZbTWYC1u6cU6OrqQnd395x4W882ZFnG1q1b0dvbi2g0img0itHRUQwNDaUFAIZhsH5qavzlgfSgFBBYXHp0M3gWeLYngQe3pQpn61p8uP7kNjQFOHRHFFzy4KC54XUDt4lU8ucWRTFN+keWZRiGAUEQzO5Nr9ebtZMqW1GcJg6yTTSQbF0x/mZOUBRlt+hg9/l85vW1duX5/f60jttqYby8mCmhXmP+Pcmon7gyCGDak4fAsqz5HKqqak4jUze1wDE4Z+p4W0clMAA+eWADvnxkEzwckzEpZX2GvV6vq+5m8v0q1ca5nMRmLkhTMV2pW8dSMa7eNhGWz7pZbAKy1HG2iioIpUxgSpKErVu3Ynh4eLdYu8bHx7F161aEw2EzkTk6OorR0dG5PjXXsPJKJ5lyr9ebtibZ4zfDMDhnXS2+f0o72kICFC21+TcA/HnjBH763Bjet28dfnn2Mqxu9iEm6/jJf0fxrUeHMRhLj6Gk0lHqZOPucC9SYsvv90MQBDNZzPN8mqT2QpXyLDc2j0j48v2D2Doqo8bD4uoTW3HGnjVF8xlKJgKpZ42mipPJJFiWxTNdMXzxPwOQNAMMgE8d0oD/d1Cdufdzk+invaHf7wfP866K4jQlLknSrKuBxSQNfZOpffnqJncT43PBK0mKtxCMJjUkFAMsA3TWzI1EdJVXVlEOlHqIZ3x8HNu2bcPk5GTJjlmpMAwDPT092LVrF8bHxxGLxTA+Po5wOIxYLDbXp+d6LaDYKIoidFnEFcc2YZ9WLxKKgW89MoyuSeCApU2444N7mAUEUTPw7lv7EUkoM44lCAJuOX8p3rP3tJx8RDJw7q39eHSXCL/f75g7FATBzFWWuhGokCbY+VY0Iu7g8/nM3DCQyqns7oqzlQpJkhAMBs0/kzIQWQUIgmA2Vfp8PvA8j3g8bu7/6BiETM8N7Q3p3uB5PienEAQBHo9n3lgDFhoz3g5L+PajQ/jKA4N4oS8JlkkNRf3qzE5cekxLxqK41+vN2DBwx1tRvNSfUjZ99161uOShwbSieFOAw1UntsLHz4yD+cSqYmowVU45jYVfyaoAlJJoEqLRqJnYsyePEokEduzYgc2bN2NgYADRaBRDQ0PzLsmkaRq6urpcd8Ac6OAzTljd5MWH968HANz44ji6pzxnl9V78IOT27G4lkc4oeFrDw1i84i7DXOpElXUDWn19Pb5fI7F7UzkjKaGrH47RIaoeAuUd4IxXyUDkpu3nl8lghKXPM+bSWhRFM1OaCLwmqaZ32WhelxWCuwS6gKfuv83jaSUIXw8g6OX15jkT5Ik0+LA+ttQhyUAs8iwZUTEbW9MmK85bIkf5+5V6/i80+/v9/vNZ4/UGDIRM3ouQ6FQyb0Cyxnj56LxpZh41RcleaL05KWu665jd7HeePNtza1ifqDUCUw65vDwsGMi0zAMjIyMYPPmzdi6dStGR0cxPDyMSCQy76bXYrEY+vr65vo0MqJUHE2SpDReCWAGHwSAvduD+Onp7Th8iR/0SzIAnupK4OsbhuGFih+e3IqPra+Hh2PwyoCIi+4dwN2bY9B0o6yT9sRj8wHDMK48mucadolDampQFAV+v9/0tabvvzs0npYaj+2I4esPDWIsqWFpnYAfn9aO/dv9ud84Baf1n/ZmhmGY3tN2vv/3jaO45smUbCLHAFef2Ioz95y2VPF6vWbcdHp+fD4fWJYFz/PmvZFrwpmSnYIglHy6zi2oGbE9xOclUT+bKFZ5gZrnO2t4CNx0jMnnmMU2LFR5ZRXlQCKRKPnAjSzL5jCPPfmuqip6enqwadMm7Nq1C5OTk+jt7Z0zy65iMDg4aKpaVho4jis4Zvh4Ft8+oRV7t3oRV3Rcen8PXusZh4dRcfsFnfDzqRioA/jgHf14ezi19gQCgbR76WPrm/D3d3fCZ4mZP356CB/4+1boug6/35/G28rJ3wrZs0iSZBaXKxkkjU95ZfJeF0XRtPabL99locKJ81EDJPmEOzVB0vNE0+N23kn/zjCM474pEAiAZVmzMVMURfPPTqC9VCgUMi1lSoVy5w3yPf4bwyKueHgIlzw4iJf6RbBMarjq12d24itHNaepAzkh0z71rWERf9k4ASBlo/Sz58YQjmsITMVNH8/g28e3oingvI92y789Hk9Rv0+VU06jutMuM8qRwCTouo6hoSFs374dsVgMhmFgaGgIO3bsMAnu6Ogouru7EQ6HsXXr1nnTuanrOrq7u/MiyAe0+8AyqY1rOD6zMHnuXrVY3+GDpBn4/tMjkKfk7VpDPK4/uR2rmzyISjouf3gIL/fPrfQRyaTSlADHcRmlmRmGcfQG0TTNnE6ghbbQgq2b5Ge+gZXOWVGUirUH8Pl8ZuLS6drZpzLoOs23YsF8glVC/WMHNWFpQ0oyUtd1PLYz9dwet7IWXg4m+QNSU9m5ZF4f2xnD1x4awlhSR0sgRXRe7EsinNDNJKgVHMeZPuPk06Wqasbf3+fzmc9lOYhIvvcdxRfalNJ/TmRsLgoNxRC9CTGVqFzVOLPxxk3BmxpeikG1M7uKciAWi5Wt+cqeyJRlGTt37sTg4CAURYEkSRgYGMDw8DB6enrQ1dU1bxKZoiiiu7t7rk8jK8rVuW0YhskHqShLjV0hD4vLj23B/zu4ATybmhpnmZS/2sX3D+CtsIT37F2Hn5/RgX3bvBBVA797YRRf2zCM3lhh6xhJwedCvjGUPFLJuqgSkUlyj2D9e5JYrNTvUonQdAN/fHkcP3p2FIoOHLrIjx+e0o6OHBO+tM8ifmBXX6DEsiiKZvMjNUMSvv90GH99NQIACAgMfnVmBw7oSC/GG4Zh3teqqs7Y/5BtjaqqEATBtP1xgiAIYFnWbISZy6Zc8hdf1+ZP45WktFUJKLbZcdpfPJ1Xui0o2gtGhaDKK6soB8qVqwRmDvNMTk5i27ZtiEQiUFUVsVgMXV1dmJiYwLZt2+bVMM/IyEhFqw0VG/P8Qqo4vleLF3FZxxWPDGPHWCqv+M/3LUVHaJrHXfJQGPdvjjrmWmr9Av7zybV4x4rptWAoruFdN3fhiS0jJu+hhsFC4Ib3UUHQLbxer5m3qZR1zA7i08lk0nE/RsVUAu0z5sszNp9BU/pUPFVVFSzLwu/3m0NX1ABJSmD5NjdyHGcqTtHQlv0e1zTNbEKxc1w7AoEADMNIUyGbS5ASkpVXer3ejLUDN/e1YRh4bVDENzYM4usPDWHjoAiOAU7eI4TfntWJLx3ZPGOwJtux7IhK077iIQ+Ll/pFGAD2bPIgoaaUpC45qhkrHXKU+aLY/WGl1mDmAtXCeJkRi8XK7mUiSRJ27dqFzZs3IxwOZ3ydoihmwrOSJ1oNw0B/fz/i8XjuF1sQ8nKmfNsrAzMTTizD4EtHNKHWy2LXhII/ThXXAKDOx+Gak9qwvsMHUU35LD6xM/vnz8Y1VFXVTLwYhmEmZ6wLnt/vz7lw0UKbDwmyTiBQgqaUpJDOmaRhKhH5JvxlWa4uMGWEXUL9jFUB856WVB1P7Ew1/hy31JdXkdhMpD4zClkzcMgiP375rk4c0O6DqgN/ejm16U0kEqb8OZDezSdJUtaElSAIaUoOpfZizZcYkc8WEXLrf/moVZQLRPALgazqkKeW3f3bZ34XN/GGJPYLBUnhVlFFqVHOBCaBEpnbtm3LukmPxWLYtm0bhoeHK7ohTFEU7Nq1q6ITQeRRXG5QUdYwjDReefa6Onz/5Ha0hXjoU6cRlXRc8fAQ7t08ic4aHt87qQ0XHdaIgMBgU1jEp27fiZtfnYCi5T5vSgb5/X7TDz1bcgPIr9nL4/GY+y3irAsBHMdVpdRdIi7ruPrxMG5/KzW9d/4+tbji+BYEPLnXfK/XC1EUZ+ynqOicjbPJqo6L/zOAJ3elYmVbiMefzl2MRbUzk1725LUsy46/LzUOZ/vtBUFIUxkrdXzLh/dtGU19p1X1fBqvJKWtStgbFbvX7JmY6S8OuFMi4jiu6GZLSqRXUUUpoes6IpFIWT+Dhne2bNmSVQ3SMAxzmCffPOBsIxKJYHBwcK5PIytKkV8LCCyuPKEVa5u9iMk6rnhkCDvHU8XVG89ZhIPap3Mfv3xhHL94fiytAAfAlGL+8lEt+MPZneAtS8tVT4zgi/f1m8W4fPIj1OBPBWwApv1IJuTDK61xvRKKhE4gP2K3oIa8St6zLSTYraZ0XU+zdCwWmqalFbFpb2UFccNEIpEzJtA5BQKBihjiIVtFK6+UJCljI3m2czYMA68MJPG1h4Zw2cNDeH1IAs8Cp64O4XdnL8IXjmjK2URrh/03NAwDNzw7gpFE6jePyTpqvSzO37vWVFb6+IENOGxJ9pqKm/ohWScVCpZl0yT8d3dUZjVqAWF8fDz3i0oEt8E1Go2iq6urYhOE4XC44MTvgVOd+U5y6gDQGODxpSOaAAD3bJ7EC73TCV+/wOJbx7fiuOUBaAbwg2dGcPemzNJIs02QrMkZSoSQr0UpQRPq9Hn0Pam4bi/MA7lJqB2CIKRdv2QyiUAgkCZNbfVdnCvku3irqgpRFM1EM8/z8Hg81Q7/EuFBm4Q6x07vrJ7vTSKuGGgJctinzf31jsk6rnp82EykvnfvWlxxXCqR+rH19QCAJ3YlsG0q6We9J+zPgdP9wvM8WJY1uznLNTHO83zaZFOuoqyu6xmLt06xbbYL48U0zLwxPE0S92pJvxesxZNM8Pv9RTUurF27FmvXrq3Y7vIq5i80TZs1yUaSC3bzuuHhYQwPD8/CWeUPXdfzsuWZK8xFwYOKVpIkwTAMHLC0ATe+eyWOXDoduzQD+M0LY/j5c2PQdODU1TX49ZmdOHyJH5oB/OP1CL7wnwG8HXaOmSzLwuv1mskga3GI/CztsZIsbPLhYPbrp2maqYBi9VzPpIoyW8iXVxIPpykJajCoFsvT0RdV8JUHBvBifxIejsElRzXjIwc0gHXJXQrlZBOiik/e1YdtUwmv/dq8uPGsDlfFePrcbHsEO1+hfRLLslBV1Wy0LHWzJX0W8UmaXneCYRimDdle7UFH7uP0zM12Yr5YHjs9MZ6+L6Vmn2zweDwFf99QKIS99toLK1euLOj9VVSRDZOTk7OWE3TLw6iZsVJ9bZPJJHp7e+f6NGYNAQ+L77yjFWss6pq7pmwpv3NSe5qP+H82R/DZf283G7vsTVGtNQLu/OCytIL69nEFZ97chS0j7pqHSN2FBoioOETFdad11ev1IhgM5hWHrfkQUrgUBAE8z5tqKFSYn0vku7bR5Dyt7VYv8ipKA5Zly8LL3MBqxQSk80ine4UacMlznBpZylXrIF7pZoBEkiT4fL4ZVmC6rjvasTqtZYZh4MW+JL764CC++cgw3gqnCuJnrKnBjWcvwkWHNaEtVNge3F6n+PtrEbzQN/27H9jhw6VHN+OezZPQDeCUVSGcu64m6zFZls25xyO1qELR2dmJdevWobW1teBjLDRUC+NlhKZpFStdnkwm0dPTU3HdYslksqjk6nqLz7imO3+3QxYHcOaeqYB0w39HMZaYJukCx+ArRzWb//67F8fxl43jM65TMdOMpQJNNpSjCz9b4YimXv1+PzweDwKBgOmx7Rb2RYQkCUlGhjrpkslk2ZLFJM2SC7R455OEpAYGVVUhyzJUVa1KYRaJ4biKm6ZUHj5+UDMW2xJTj+5IdZa/Y0XQdSK0N6Lgqw8M4KV+EV6OwSVHN+Oj6xvMgvuqJi+OW566R/485RNj/R3tv6n1z1SoVlU1TY6/XEl5QRDSmmfcxCd61uwxxGlKabbvX7pW9PzR5tPn8+V8Fl8bShFSD8fAw6euNW3OZVnOSSSL3QhUCxZVlAvRaHTOuUcmhMNhjI2NzfVpzMDw8PCcJSfyQSUo5yQSCfg4A988oR2fPqQRFktIPLQ9hm9sGMJYQkVTgMflx7bg68c0o97Hoiei4NIHh/CbF8aQUNKTEmR1kutzKUkiCILZ9Ol23WEYZkbCnaYodF1P81wn65NygDhxNlBjaz6KIiQRL0mS2WAw14nYSsLGgSS+8sAgeqMqmgIcrj+5DcetcD8FwTBMQTFix6iET/67H+PJ1P39rjU1uOad7Xk/y9bijz2+WxN/ZIGgKAp0XYcsy6Y8ZjkgyzJEUTSnkTKtPeGEhglRB8sAS2ucr2UlNCbF4/EZnJJ4Za5YYxiGWRhfUp/af1CRhOJMJni93qKmxVmWrYj1oYqFidlQISoEhmFUpF2PYRjo7u6uWC5uRSnjbtDD4qoT27C6cao4vmEIXVPF8Y+tb8LXj2kyX7t5RMGH/tVtelw75fK+c1I7fnpam1mMMAB8+YFhXLEh9xS+pmlZ9+rE+yi+ezweKIqSlwqBfYgHmM690iAM8cpy2SABML9DNpAndD68kBpVFUUxhzYqQdlloWAuObrf758xpU6w39P0Wk3TzHhBg12lBqlnEq90s8cjKwCn3FquGoFhGHi+N4Ev3z+IKx8bxuYRGR6OwVlra/D7cxbhM4c2oiVYXJ2BmnD8fj/u3pLALa+n1Fc4BvjUwQ344hFN+Ol/R5FUDezf7sNnDm3M+r2pKTxXUxjZcxaKSrYcmytUWXYZEYlEKpo0TU5Oor+/f9bOkWQbs8Hqw1EI9mz2IiAwiMm62b3vhI8f2IAVDQKiko4fPzsK3ToFyjD4fwc34MP71wMAbnsjip8/P5ZWaK8UKTNaLGjauhRwswGhgposy2bgdtNtTJOz+XQA5/pe1LGZz3Q5dXsmEomc9xst3sUQBJpcqqIwWCXU17V4ccbq9MTzeFLDy1P2Ce9YGXI6xAy82JfEVx4YQG9URTMlUpfPTKR++IB68Gyq2ebNUT1rYVwURfPvPB7PjGeJOplLvfGggq/9s9zC6RkrByHOFzRNSI0yVPTXNM2cAHTaeGwbTV2LBv/0s01kPBcCgUBFJHCrqMIJlZrAJPT398/aRDuQ4h25Yt18kQmrlP0CFdvOX9+GH53anuYhuWlEwsX3D2LziASGYXD0siB+fWYnTloZhAHg3s2T+Ny9/XixL70I5IabWZN0VERyw2tpPc0nMZntWpO8u1X5xw38fj9kWc6ZqLCua8Xw9kQiUTF7kbmCYRi4e1MU33p0GDFZx57NHtxwajtWN+WXkCyEkz3dFcfFDwxC0lJ+gZ89pAGfPrQxr2PQlBY1U9AUuP01BGq0tKIUexQn2P2ws+2VtkxNi6+o98DLs47FelmWZ9zvcxHzWJZN45TWZlJ67p3i1YSoIyaniv+LanhTWc1NI2WlKvRVUYWqqhU7xAOk8iezrfiTKy4xDDNveGWpC7YhD4urT2zFHo0eRKYmx3umGoaOXhbCr8/sNF87IRo4529dpuKkx+OZsU7t0eTD3R9ahtWN0zF345CEc/7WhYFI5tjqdjCI4jvxWsBd87p9/SsW1kYsr9frivtRsduN/DU1fVYLXZWDudrTeb1eGIZh8hh7nkzTNPPZ8Xg8jk17lKcv5f1ECpqFwppjJdi5FR1fNww8253Axf8ZxNWPh7F1TIaXY3DuulrcdM4i/L+DG9EcKM3+SRRFJGQN3324B7/7X8rSOCgw+Onp7Th1zzpc89QowgkNi2sFfOOYZvBs5mtKz7sbBaJKVVOZz6gWxsuISk9gAimp92y+5MVC0zSMjIygq6sLmzZtwltvvYVt27aht7cXkUhkRgKJZVk0NuaXWLCCYxnTU9bJZ5zg4RhcenQLvByDjYMi/v1WeiKXYRhcsG8dLjqsESwDPLQthmufCkOe8lGsNOJBBd5SdKcVWsSVZTlngd7n85VFloUIoaIoJpHMdg6qqprn4TaZVOxvLklStTheIKwS6l87vhN2TvHYzjh0A1jb7MWi2uwJeMMwcPubEXznsWHEFQN7tXhxw2kdWJUhkdoeEnD6mikFieeGEIvHEQwGHW0MrF6P2Taj1JVbqkSmruszkgb5kM9kMjkjEZhtGn62QDKhTqAJQEmSTDkw2nT2T6auxdJ6j1nccFMUp2aZKqqoROQ77TBX6OnpKetzJIoiBgYGsG3bNrz11lt4++230d3djYGBAcRisRkb5VAoVPHTtTQFWimgbvV9FtXh52cuxjHLpuPwWFLD1x8axCPbYwCAGi+Hi49sxndPbEVbiEc4ruHKx4bxw6dHEBFTHL/QhB1JiLs533yQ7fWKopiTQKT8Q9LumUDKSfR+tw2+xU6BchxXEU1scwFFM/Dz58bwuxfHoRvAO1YGce0729FYomRXNvzj9Qlc99QIdAPgGeDqE1tx+p61eR+HZVmzOBsMBh3jQCKRgCAIORP1tAcrxWSxUwNzNnubLVPNiKubp+9FXddnPPP2ODwXiWO7xKgV9NwrimJec2q87o+l1pWOGgENtSEwDOPq/EtdYKmiilKi3N7ipYAsy2W1gDQMA5FIBL29vdi8eTPefPNNbNq0Cb29vRgZGXEcGGlubi7LuZQS5eK9IS+H757YipUNAiZEHZdtGEIvqWnUCbjtgmkPcdUAzr21H8OTCmRZNtcpO244vRNXHt9i/lk1gP+7px8/ejpzjrrQvITH48narMlxXN57GDfnQms9WReRxZ4TeJ431UiA1D3q5jOKXVNp2KqqUFI85kLpgoZyKOeVyYOaYRh4PJ6sv7Msy6ZCbCnPzYp87lfDMBwbLtNeg1TT6hfuG8A1T4axfVyGj2fwnr1rcdO5i/DJgxrShmZKgc0jEj5zZxce25nKzwQFBr87exGW1nvww6eGsTksotbL4tsntKCpNoBgMGjmJu1WX26VhUqRk62UZvxKQjXqlQnWSdpKx/DwcMm90HVdx8jICLZs2YLBwUFMTk5C0zTTs3JiYgI9PT14++23sXnz5rRA0NTUVNQDTz7jL/dnL4QsqRPwfwc3AAD+snECW0dnLhynrq7B149pgcACz/Uk8a1HhqDzpff1LgVUVTVlg4pFIZsPSqRSAtHj8czo5qRCVz7TGbIsZ5WddPJ5zrSwkBefdTFIJpPmOZez+EeynlUPn/xglVD/0P71WFw3Mwn86I5Ugv4dK7N3cEuqjh89M4o/vjIBA8DJq0L43kltOUnSBfvUISAw2D4u44ldccTj8YxTYclk0kymZwPJcZUCTuRGkqS8psnsr62URJ6bbndd19MsGMaTqWu/Rz1vFjfcYHctMFQxPzAfEphA+eQvZVlGb28vtm3bhtHRUfO5psag0dFR7Nq1C5s2bcK2bdvMuMgwTEUnMSlBUYlKFaIoIiAw+PY7l+CzhzaayU5FT1kR3fjitJrSAR1+/PJdHThnXQ1YBnh8Vxyfuacfj++Mp02Q5sOzKK57vV6EQqEZPsc8z5u80q1iEABzOtQpKaTr+oxjZVImYBhmRpOcruvQNM0srGVDKRouZVmu+MaPUmNC1HD5w0N4aHsMLAN88sAGfOmIJni4wq5nPr/D958K4+ZXU7E4KDD49VmdOKCjsMSh9f4jOVMn0MRdLpRKClVRlBn3biY/R2B6YnzP5un7kHwhrXDar802DMNw9bwQB6bG651jqfVmcS1vWiO5QSkmNqsJzCrKhfkwxAOUzwIyFoth+/bt6OnpwcTEhPncq6qKeDyOwcFBbN26FW+//TaGhobM9/l8PtTUZPeJnUuQdHi5UOPl8N2T2rC8XsC4qOGyh4fQF019XkBIeYjXeKbX1U/c1Y8Xe1NrWCKRgNfrncGzDl4cwL0fWpamUvTYrgTOu6Ub0eTM70L5OyC/NZwGaawN9VZYVYPcggYjMr3H6bdQFMUxT+P1ek2rFOs509qVLVdRiufDzYR6FbkxFwMl1saTbM8/qb7myo+pqloypUsnC6h88+L2/D7xUk038MTOOD5zdx+ue2oEuyYU+AUGF+yTmhD/2PoG1PtKWxDXdAO3vDaBSx4cNAdyOAb43kltqPNxuPnVCTzTnQDPApcd14KOmpTlpaqqZm7SbvXlBl6vt+LsRRYKqlGvTBAEAXV1dXN9Gq7R19fnSkpJlmV0d3djeHgYsVhsxibeMAyMj49j69atGBwcdNzk2zu1FUXB4OAgtm/fjh07dqCnpwehUGiGBxjJz1DRNZOX3/rOVPDeNCIhIWcv8J6yKoQjlwSgGcD3nx6Z4Y0IAEcuDeCqE9sQEBi8MSzhi3ftTPMlrzQkEomii6/WxTQQCJhTKfSbZAL5+NKkAMuyppc3daYlEom8PDHIx8eJYDAMkzHp4JQkzVQwJw9oOn+n71iqTmUiLfkmcndH2CXUz15bM4PE7RiTsWtCgcACxy7LfG+OJFR8/aEhPL4rDpYBPn1IIz5/WCMEF4nUOh+H9+ydiuc3b5yAohlmQrzY71cKspkpuZ+Pf4z9dflMvZUT2abGrRAEAYZhQFZ1UBjfv8P9tSV5zSqqqFTU1tbOmzVD0zTs2rXLVfFgfHwcPT09GBkZcZQQU1UV/f392Lp1a8YkrvU9ZDHT1dWFbdu2Yfv27RgbGzMn/6yckjz5OI4zva1n22PPqYu+kkDX811r6/Dj0zrQEZpeF+7aNIlvPTqEqJTidD6exYUHNeIHp7RjeX3KruiHz4zgO4+FMRxL8UpqBCBe6fP5sq6lxJXI/87r9YLnedPfF5ieqnULSgg5JSUzKRs58Vafz5fxt7PKh5KSjBUcx5WsGYJ49u4w6bNjTMaX/jOAt8ISggKDb5/QinP3qi0qCekmmSyrOr54Xz+e7EolrzpCPP547mJ01BQek63NzNTgUOz+rRCv9HyObT8/TTdM67I1TekJe/u+yf4MzZXEuBsbApZl065lTyT1HZfUuf+9q9Y8VVQ6Krlp0A63FpCGYaC/vx/9/f2YmJiALMsz3pNIJLBz507s2rUrY8y08gBN0zA2NmZyyh07dgBISd/aeaXP50MwGIQgCOb6P5tFMkEQHG03So1aL4fvndSGZfUCxpIavrFhCP2T09fslvOXYkX9dLy88vEwbn0tNeggSVLGHMON5yzCFw6bVg+VNQMfuL0ff3xpdMZrrXLRZNdIwzS5fHzp3zVNMzklcVFSD8mHV2YbeMi03jidI8uyGX87su+gXKX9GpbKXodyL/kOM1UxjblqWKXGEyB1T2ZTJnCLUuwrDMNw3EfRPskN7Pe7pht4dEccn72nHz94ZgTdEzKCAoP371uHP56zCB8+oAF1JS6IA8DApIJLHxrE316LQDcAeoovPKgBq5q8eGR7DLe9kVIj/vzhTdinNfUM+f3+ovf7laZavJCwe5uTlREMw2Dx4sUwDGNW/RaLQU9PDzo6OlBfX292rxCRpGlXKmpavxMtzoFAAGNjYzk7XiRJgiAIMwinlZjSFIgTAoGAWQyVZXkGgWgPCeio4TEwqeK1IRGHL8mcZGAYBp8/vBFbRiUMTKr47Qtj+NKRMzcJ+7b58P1TO3HFhgHsHFdwyUNDuPrEVnQWkRCpZFDnI8Mw5u9JEzBOZI3neXNRI1UA+o2sxyCQx7eTHyMt4IZhpEmeO8Hn82UsZlE3Ki3E9iSHE1RVNe87kp/RNA0Mw5Qs2WT9DGD6+1LnWBXTsEqoX3xEE7gpDXVrt9wjU9Pihy0OIOR1Jj9vhyVc80QY46KGWi+Lrx/Tgv3a8yP6Z62twX1bYhiKq/jPlkmcvS4lm0kqBNQQku99UgqymWlzSUnXbDGZikJO8dbr9ZpdynOJTCQyEAhA07Q02bNXB6ev/7oW95sSn89XEiUQt95hVVSRLzweD1asWIGdO3dWjKJDNiiKgl27dqGzsxM+nw+xWMzkBbQek680MD0Rby3yCYKAwcHBnGuj07/beWU2mTKO48xrOptJoFzxuZIgCAJWNur46Rmd+OXzo3hiF8VcCV/8zwC+fXwrljekeOCezSmLktvfiuAfr0fwYn8SH//ndlx4SCtOXxMy7wNN0zJeA0ps0vpKyW36Ta1rFsuyMAwj57GouE68077+siyb8dmyTmIQr3QT6+m78jwPv99v3oOZvP0KgZ130DT8fLm33OLprjhueHYUkmags4bHt45vxeI8CpWZkCtRNSGquOjeAUyIqThzQLsPV72jpWj+Zr9/aH9MSU26H/MprtL+rdg9S6bPpKl0On5PRIGoGvDzDBZPWRnR82a//yRJSuPvc7nnsat0UMMONXXb+Xz3lFTw0jzut1IVxas2XFWUCzTE09PTM8dn4g6kcNnW1gYgVSy3xhFSeKB1d2xsDEBq/SVeqaoqRkZGcn6WnU9omjZDPSbT9J7X603jEta1v9yw8tlyo86XKo5ftmEI3REFl20YwrXvbDMbxn7+rk788KkwHp9qKPvra1FsGZPxzePbsqppnLy6Bics9+Hjdw1gQkxd79vfjuHBbXH89bwOs9DHcZzJ7Sn/SIVjp9wFFcRlWQbP82m/iT1e036e47gZ6ynLsuZeQdM0k59maqDMNphDvJLUr3L9dlYe7PP5wPN8WdZU671Pks804VpFbsxVLsiqrKXruqnYpeu6yS3z3RuUIgdur/1Yoet61oYQa51BVVWouoHHdsZx2+sRDMRSz23Iw+I9+zbitD38CHrK0yBsGAY2bI/jxhfHkFQNBHhA4FlERB1HLgngPfu34KXuCH7+fKqJ54J9anHmPq1mrrJYBSGqF5QCVV45E4wx1xnvWUQ0GkVdXR0ikQhqa/P3AisEuq5jy5Yt86pj2CkwFbrJps2xqqppwcBOEJ2CZaYEF8uy8Hg85vmEQiFommZ2/CUSCfz6f2O4b8skTl8TwmcPbcp6jjzP441hCZfe3wvdAC45qhnHrZgpyez3+7FjOIpvPTKMgZiKeh+L77yjDXs0Vp78rsfjKYl8mx32hgUic/T7UvJS13XwPA+WZR3PgzYS1vuAilx2wsUwDARBMIt/RHydfJWdPqNYZErwlBpEOqtTqykMx1V87t5+JBUDnzywAefuNR2zKTaouoGP3t6LiKTjW8e34NDFM5tgNmyP4ZfPj0LVgeX1Aq44vgXtocISqY/uEvHjp4dQ62Vx49mLZhCvQja+HMflpaBgB/kXZttIUfOF/XUktZaLBvj9fnPjN1ewxhZr04r9mt/00hj+/fYkvByD29+/1NWx/X6/Y5NOIWhubkZ7e3vRx5kPmAtOVUmYq+8fj8exc+fOWfu8UsDux0qb9kK2IMQ7rM1kVBi1Hs+JQ2ZquvR6vWkF02AwaPLKbMo0mWCNV7leV84Jz1LCej0Nw8CD22L4zf/GoE5dcg/H4CtHNeGopen8uSei4GfPjeLtcIqP7dXixecPb8KSOmEGT+M4bkbixvq5NKFtv294njftmuheo0QKrRVW0GSR9b4hCfRsv1kpGhkooVpII12+8Hq9KSWVOVy7SwHdMHDLaxHc8nqqeWZ9hw9fO7o5YzNkIci0b9o2KuHSh4Yga6l77l171uDThzTOeF0hcIpbdhTCK4u9T928n5oq734jjJ88O4J927y49p3trt5bKfsd67nyPJ+WRLaf24f+1YMJUcdPTmvHqqbsTZcUx0q1b9xjjz12iyTm7s4pgbm7Bv39/WYReT7AzimBwovPpF5jLTgCzvzMnq/MlmuyxheaaCZFxUJzqnMdMzNhPJmSU++JKGgJcLj25La0XMu/34zgplcmzD8vqeXx67MWZR2EItz62jj++lr6kNkn19fj3L2dlVntaxCtVWS1SPxPkiSTjznFajqO9T6goSGn34HnefA8b96bbnKV9L5i6wSkwmS3iywHrI0IVWRGtkJwOVGuOFFMXp32W9nezzCMWcC3xkeO48zmD0Uz8MiOGP75RgRD8dS+rtbL4tx1tTh770bUBUrXcGxHVNLwi+fG8GxPKlbs3eKBX2DxYr+ItiCHn57RiYTG4Iv39mJS0nHsihAuOaoJbBH5DiuoUacU+0aPx4M1a9YUfZz5gHw41cLWW6sAsCyL1tbWuT6NvOCUFCqkK55lWdNHQZZl+P1+U/rQ/lA7EQJJkhy7rahbjeRiEomE6bNHchwHTknovpLFZ5xlWXOjubaRwwfXpybFf/m/UQzGnGUUO2oEfP+UdqxsEDAh6vj6hkG8Nlh5Sc3ZSIL5/X7TE4M+jwgZEVCSvbSDNga0CBIpdFowKalHk2WiKEKW5ZwkkiYTigUpJZQbuq6bPi6lkkKar7BLqJ+1Nt3HSxRFsCyLl/uTiEg66n0sDuxMTxppuoHfvTiGn/43VRQ/YokfPzilveCiOACcvLoWi2t5RCUd/3pzpt8veVbl0yWqaVrR92ku4k2SroqimL6nXq/XUV7OCdbu+7mCKIqmCoS10GG/1tunJD0bc/jGE2gDUYqiODBdtKuiinIhGAwiFArN9WnkBXucMQyjIGk3SmBZk40kh+70GXZkkmuzckpgWj48m++vEyi+0hqVK7bPJ9lre2PDqatrcMPp09Lqsmbg2idH8NeN49Atr11SJ+D6k9vwqUMa4OcZvBWW8Pn7+nHr6xEo2vR+g6Yc7F5rZHNDk5w01WmFqqomn6fJMDqW0+9H+wjilCRPmauRoRTrIFn3zEZDBO2NrLKh8w1JRcd1T46YRfFz1tXgyhNaS1oUB5yVd57qiuPLDwxC1gwwAD53aEPJiuIAzCJsLuSrYlHsfeom+UnKcpuGU/fx3u0h1yoFtN+ZayQSCVOhxCo9bL9+EVEz1QJyKRTQGlOqfaObdaSKKopFS0vLvFojnPhdocVFatIhqwiy2XG6Hvb8jCRJGeOz1dqQYqokSY6WFNlA0uCUI8rFG+cih9Tg53DNSW1YXMsjnNBw2YYhDMWmf49z967DNSe2mH/uiaq44NZuV/uAC/ZrwG0XdCIgTP8eN70ygY/e3pMz/0HSxaQkAKTnkakh0un3IElq2q/Qtc+0dpH1Yz65SiDzviQfUJ50NorV5EFelVjPDsoJzjaSyWTOGFCInWcx9oq5iuJAKqbT3ojqAzSYE0uI+M+WSfy/u/rwi+fHMBTXUO9j8YkD63HTOYvw3n3q4GG0svHKl/uTuOjeATzbk/IM/9j6ehy9LIgX+0XwLHDpMS2AYeCbD/VjUtKxpsmDS49tBzP1vYp9xmkgqFT7xmqu0hnzJyMzj9HQ0FCSRW8+gTrqiLDQ9I2qqo5eF4ZhzCB6NA2YCfR6ko2zHmvfdh84BhiIqRiYTCdNVKCnjTmRlvesDWDvNj8SioEfPD0CVU8nF/RdGvwcrn1nO/Zt8yKpGPjWo0N4pjuez+WZFZTjnqMp8GyyQLQAkOQOSRrRdQdS15LneZNAqqpalgRxJXgk5wtRFDOS9N0FmSTUCfTMP7Ij9dwdtzwI3vKaSUnDtx8dxt2bJgEA79+3Dt84tgV+ofB7LBAIQFMVfGx9AwDg7k2TGEmkb3hUVUUymcz72dM0bdbWCCqSz0cpLJrotCYJ7UWP/snUb7KoNrd/ZDkmlnp7ezE+Pl7tpK6irCAZyfmMfJOwVHCm91qlKqmj3AqnZzCbZ6D19dY4notHsCxrJhkovgIwm/2yreXzKU44JSBXNHjwszM6cdzy6e946xtRXPnoMBLydJGZZRicuWctfnlmJw7q9EHVgb++OoHP3dWNraOpJkbaIzjBKgVI3pTUFEG/J60FmqZlLIgXi0zNnpUO8lSeb+c+FFNxyYODZjLqi0c04cKDGmdwwlKAig6Ev782geufGoFuADwLfPekVpy2prQTnG4sXJLJZN5TR6qquiqgZEI+cWnLaIpLrqzLLINZqaApUUmS0uK9PXb0RFPXvy3IwcdnvqY+ny9NeaQU0HUdO3bsmDfKIlXMTwiCgKam7AqLlY58449d2YFyg1T4o2Y8KzIN7LhBPoV7j8cDv9+fZjsEwFXT5VwNVzT4U7LqnTU8huMaLtswiOH49HferyOAP53XafrxxhUDJ/9+ExIu1reAIOC2C5bijNXTikSjSR3n3tqPJ6cs9Wa8J4t9EjA9IEWFc6/XC6/Xm9ZISPLHiqKULQbP9eBBISCrKr/fPy9zrbMFsnydLZBVaa5Yk20vnO09heam893vk7rDxGQc92yK4sK7+vCr/40hnNDQ4OPwfwc14PfnLMJ5e9UVldvNBUnV8dsXxvCtR4cxltSwpE7Aj07twPoOP256OWXr8bH1Ddij0YNrnhpB36SK1hCPbx7fCp8w/VwU84yUw3JtYmICfX19Zdknz2dUC+OzAIZh5t3UuB35bJIpeUkPG20UeZ6HIAhmwoqKpwSnAE2Lrj2gkvSckxynoigICKzpL/vKQDqRyURuOJbBl49oRFBgsXlExi2vTcz4TNo4Bz0pGfUjlwSg6sB1T47g/i2Tbi/RrKAcxJg6uHJ1ClLXFzA9eUUdlMC0tLN1M1GOTuX5lHS2gq6fx+MpaKpuPmM4rppk48P712NRrfP3HxqfxP96UxueE/eYnp7smpDx5fsHsXFQhI9n8I1jm/HB/etNKZtCQTKthy32Y68WLyTNwN9fmzk1Dkx7Xvl8PjN5Tx3oTqD4WEV2UMwgGwZgJtmMiKl1Z01z9qQBx3FlaQ7QdR19fX3o6emZVxYqVcwv+P3+eS816nbNtycveZ43+Z+1AY+mhikmZHr+OI5z5C9WD2mr13SuDS3x2kzFK5JidEqOzKcYoaqq47XwCyy+elQzvnB4E7ipn/TlAREX3dePvmj6NWkN8rjyhFZ85agm1HpZ7ByX8ZUHBvG7F0YAPjPfIS5n9ReniW+67tSgQLyyXEW6+TRVZ4WiKGajxnxQKnhjSMSX7h/ArgkF9T4W176zDe/co7xKGaqqgmEYXPdk2OR3IQ+L35zZif3bSzv5Q+o3bqBpGnw+HwKBgLl3Jl6ZqUBiV8HIB26TeKKqY9dE6vlb0zT/BgBUVYXH4zEtFGg6yX5Ne6a+45K6zN/R7/en2XuUEqIoYvv27QiHw/N2X1tF5aO5uXlerA2ZkE+SnzggxWCr0k8gEEA8Pj3wkqsYRNzRib8Q/wPS83K5nmPyv3aKJ7maLufyN2wK8LjmnW3oqOExFE9NjoctxfHmgIA7LuiEZ4osagZw/q392DXubi38zGHN+Nt5nbDWwr7/7Cg+c3ef+WdVVREMpgro2VT87M2YkiSZRXLr72MdXChH/J1P+wA7aEp9d7D6KATE3WYLgiDkdT9RbtLj8ZgcM9segezF8kW+BVhR1XHn21FceGc/fvviOEYTGpoCHD51SAN+f04nzl5Xm7VJsRTYMSbjS/cP4p7NqfrOu/aswU9Oa0dHiMd1T4Wh6sBhi/04a88QfvW/Mbw2KMLPM/juOxehOeQxlS6L8RYndd5yYHx8HNu2bUtb63Z3zF/2M89QV1e3W0iO2LvfiWjaZWxIHpsKHBzHOQZhmuqmRdd6Da0SJdbkAhGY9R2pf3t5YLpbkGGYrMG5LcTjc4elZPJueyM6QybdOtnu4Rh87ZhmnLo6BAPAL/83hltem6iYTasoiiWfQk0mk4jH46bUiVWy0v7ZtAEYiqnoiaSSCiQzShM9DMMgLmnYOlqeZEKl/BaFgrpUd5fpcauE+l4OEupWPNWVgKIbWF4vYGVD6j5/rieBrz4wiIGYirYghx+c0j7D77QQkIQNkIohHz+wHgDw8PYYuiemyY7P50uT+qXYR3L8NIVoT7oV0w24O3X7URe/x+Mxu/nTkhqqDmUqjBzQ7rzeCoIAwzDK7vsUjUaxdetWRKPR3C+uoooCMN8bLt1ursknmkDrOsVUq+0OJRKJZzhBFEUzAUpWLgRqSKNJQiB3jHWThMw05TPf1nfyT7SDYRicvCqEn57RgdZgqqg2HNdw0b39eKEvMeO1J6wI4ddnduL45UHoBvDP18bwidu244XuqFn0s4N+B8MwsHEgaao6WWVG7TyyHNd2PhcOgGn56Erekz6wdRKXPzyEqKRjj0YPbjitA+tayn++CVHGF/4zgKe7U/dsZw2PP5yzCO01pW1QpXso1x6FZL5JYYusq6y8kgok1mI2wzAZPdPdwG1D7vYxGbqRsq5pCsy/qTGy9QJS33lzWMRXHhjEhf/aaU4PAkD31B52aQYZ9VyTiaWAYRgYGhrCzp0756XiUxWVD57n0dzcPNenURTc8kqrJZe18dJu5UIT5LR3zxSz7XZlVjhZf+U6Tzf5q0xNl9Zi/FygOcDj2pPa0B7iMRhTcdmGoTSFPUEQcMf7l6LZP33eF903iMd2uBswqgsI+PcHluHIxdM8sSeq4sybu/DaQGqNpFwlxWWnxgVN0xzXOhoC8ng8Zt6BkEwmyzKwMp95ZdUKMjsofpQbbhSIgOlcvDU3KcuyyTHpGPY45vF4oChKQbl1io25kFR03P5mBBfe2YffvzSOcVFDS5DDZw9txO/PXoQz96yFt8wFcd0wcPubEXz5gQF0RxQ0+DhceUIrPn1IIzwcg188P4qBSRUtQQ4XH9GEOzfF8NC2GFgmJaneGYRZEJ8QVfzquRGcf8tO/P7FsbwtNMrNKxVFwc6dOzE4ODjvFJ/KgfkbhecZ5vvUuNuHhZJ/hEzB0y5Zad2cujk2FWOdjk+TRAd2pkjhq4MiVD017U2TRtlw7PIgTtojCAPAj/87iqg0nRRVFCVtceNYBp87tBHv27cOAPC31yL4zQvp/opzBV3XTen6coE85GkC0wpBEPBcv4JP392PXz4/Co/HY76eEtf9UQkfuaMPX7p/CBu2lr6AtFCCPEneVHIisxSwSqh/0UFC3YpHpqSzTlvbAMMw8I/XJ/DdJ8JIqgb2bfPix6d1YEVD8UTUaglBWNfiw+FL/NAN4M8bJ+D1euHxeMyCSzZYG4KosaSYbkDr9PTuAKvsGcuyZnFLlmW8NjSdBCbFEDsMw5i1ZgJN09Dd3Y3h4eFZ+bwqdi/4fD7U19fP9WkUjEInb3MlGEhxxYmXWEHegvQaUrKxJ6isk+R25FMQUVUVsizPOP9ydYOXA1bJYScsr/fgV2d24uilqTVJ0YHvPBbGza/ObBqt83H46tHN+PYJrWgJcBiMqbjikWFc/3gfwhOxGesayUNf98wYrnhkGI/tjJvNt8lkEizLzpiUmM+TOOWEVQazklSJVN3Ab14Ywy+eH4NmAMcsC+D6k9vQEix/snUsoeITd/Zh+5Q0+PoOH35zZgcCntKnSsh2IRton5tIJFzJYtK+ipQ0iime0vOUC1tGUpxrTZNn3iopyLKMx7uSeP/ft+Kzd+7C5hEJXREFm4YS4DgOHMehdzLFGZfUz3xWrEW12UAikcC2bdvm1bpRxfxBU1PTvJZGdltgtA/aOMUvK2ehvXuu41uVhqixhmwIrSDpbqfzp0Y/N6BBFPv5z3U8bg6mJsfbQjwGporjozb7uT+9ewn2bpnmkz96dgw3vjjq+jMuO74Vvz6z01QqMgBc9kgYlz44kPY62hMQh7T/G6mvMAwDhmEgCIJZLLQXp9ys3YVgPj9zBFEUoaqq48DU7o7ZuB65YhM1xJLlV7Z6CDUEUe6ZJtGLyatna5pIyDpueyOCT97Zhz++MoEJUUdbiMfnD2vE785ahNPX1EDgyn8Nw3EVlz88hD++MgFVBw5f4scv3tWBgxel9qMPbovhya4EOAa49OgWvDks4Y9TKqcXHtSAQxb5oeo67nh9FBf+uwfv/dsO3LM5iqik47FdCbOBhJpeMyk+Wa3jZgMjIyPYvn37vB8oLBbVwvgsoqamZt4WMPIJhFbSkUwm4ff7Zzz49gePpNGzgeQkqCBO/hN2UPF6XXsNar0ckoqBrhhjTt+6wacObsSiGh4jcRW//F/2KXCGYfCh/evxqUMawAC4b8skfvD0CBRt7oOLruuz0oVImwprgi2ZTGJlLQPAwBvDEp7eEZlxHQfiDKSp6/T9Jwfxk+fGkFRKV8xeSElRsgCgYupCINFWDMdU3PRSbgl1AOiNKNg8IoNlgAPbeHz/mVHc/GpK9vKMNTW4+sQ21PlKc33onrWT2o8e0ACWAZ7vTeKtsJT3ZE4ymTSVE4rFQrrPc0HXdei6bjZAKYoCXdfh8XjwxlAqEezjGQSDQVNlhIpdgUBgTq5VdbqninKhtbV1wScgkslk2npHhWrrJtvpGtgbGZ1gTSgqipLRaod84sh/kKwy8o3f1JiT69wrGbl80308i68f24qLDmsE9bb94/UILn94GKI6k98dssiPX57ZiTPW1IAB8PD2OD59Tz8e3jyStmeiYu6ejalrd9sbUURj0xJwuq6D53kzyUmYb9d3NkFS9DSlP5fXKipp+Najw7h3Srbww/vX49Kjm8sulwgAW0clXHhXPybE1P153t71uPrEtrLtn3I9QwDyTkJaLayKTagZhuGqEZf8xbNZ11QqZFXHTS+N4T23dOGHTw1jOJ4qfgcFBu/duxarW1NqU5qmoWtK5ndNW80MXjkXz8xsqB5VsXuC4zi0tLTM9WkUDLcx2xpbdV13nPR2Qi7O5/V6Te5J55JJEp3jOLPwZJUwzndKkAq4VlQC72kNpibHW4Mc+idTBacxW3H8+lM60nzD79oUwzceGrAfKiOW1Am464PL0grsb4VlnPW3LlOtkmAYhtkQSEgmk+bkLMV1az6H8gtUxCqXytNCyulR0dUp/7+7wg3nKxa5lCJIeSgf0J642KI4kHrW7PdDTNZxy2sT+MSdffjLxglEJR0dNTwuPqIJvz2rE6esnp2COAA8sSuOi+4bwOtDEnw8gy8c3ojLj20x88k7x2X87sVUnvojB9TDwzH4wdMjMACcsSaEJbU8vv7QIN59Sw9+8d9h00qMZYC9W7249JgWc59lbdYhTun1esHzvGmjMduo5iqBqt7FLIJhGHR0dGBsbMz8c6bXAanNWCTi7GE728gnGNqn8ag4ngvUiUmfRZ1NsiynFZCCwSBisVjWYxmGAVWRcUC7F092JfDsjgnscUC96+/gF1hccnQzvvrgIJ7pimHDogBOXuk3j+2EM/esRZ2Xw4+fHcFTXQlMSsO47LgWBIS57T+RJKlsHY5WkP+kVb6vNcTjrLW1uP2tKP74yjgO6vTBI/Dm5P6Ry2tw3IoQntiZ+j0f3jaJt4aSuPToZqxqKp5MLZSJcStUVTWLe/RczcUCWkoYhoGfPz+KpJpbQh0AHp26X/Zp9eLaJ8PYMa6AZ4FPH9KIU1dnf28hUBQFPp8PmqaZz9GSOgEn7xHCA9ti+O3zw7j+pJa8N6Kl6syjjdruMEFiJW5EKOn+3zKS+t8Gf4rE2p+Lubo+lZCgqGJhwuPxoKOjw9Vml2EYiKI4L/2krFN5ViuWfEHJSkmSzI0px3EIhUI5eaWu6yXZOJJ8I/HdTOpHlQw3fPLU1TVY1+zBFY8MY1zU8dqQiP+7sw8/OKV9hjR1QGDxmUMbcdzyAH723Ch6oyqufXIEj++M4wtHdaBW0M1rdPqaGtzxVhQDkwoe3RHDWfu0QJZl85paPfCoiaKUsX++/VZuYLWKIRuC2UySdE3IuPrxMAZjKvw8g68c1YzDl8yOxcCTu+L44TMj0A2AAXDRYY04ZXVNXlN7hSCRSJg2PU4qNoXyhlLdnxQbsynsbBmdnhifLxiJq/jNC2P4X18SuuVStYV4fGi/OpywMgSfz5dKBstATNIwlkxdg87QzKLVbE71WDGfpXerqGw0NjZCluUZsSRTTIpGoxXToO32uZAkKS2+UfNjLlDBzxoH/H4/NE0zp8qBadnhXKCGzGKRTCYrMg/QGkpNjn9jwxB6oyouf2QY15zUZu7TgZRv+JpmL274byo//vqwjI/f0Ys/nrfY9edcf0oH3hhK4BsbwjAA6AbwmXv6ceRiPy47Pl2xNdO1suarA4EAFEUxlek0TUuzcaI1olRYiHkCekZIjSsT19ldQE3e5bwG1CTjdG8Www1Lve+JSRru2jSJuzdFEVdSx15cy+OCfepw7PJgVsXQUiMm6/jN/8bw+K5UbmTPZg++clQzOi371KSi4/qnwpA1Awd3+nHM8gAueXAIkmag0c/i0R1x3LclPYewqFbA6atDOGPPEDxTzfD2mFNII1S5MFeNnpWEamF8lkEdgW7R0tKCgYGBOU9k5hPEJUkCz/NpJJk69JLJZMYkIMnAUdCwdsxYi61uAgh13q3v9OPJrgReGUjiw5bCuJuFaVWTFx85oAF/eHkcv3k+jL1bF2NpnZB1MvTY5UHUeFl874kwNg6KuHzDEK58R2vJplcLxWwUxgHn++S9+9ThoW0x9EQUbNgex7vW1YPjOHNy6ouHN+Ll/gQmpVQRu39SxVcfHMTH1zfgrLU1RQfp2frucwF6FliWNeVx5uN3zUdCXTcMPLYjFQ+3jspIqgbqvCyuPGkRVjeUL1FEJJMadpLJJD6wXx0e2xXHW0NJ/LcniSOXzp1X7EJM1jtB13WT9Hs8nrT1YGAyteYsrhUq6npUE5hVlBONjY2uX2sYBqLRKAYHB+d8rcjnGXVKuhLPy5aQTSaTafyR5/k0/zSSisvFB0mC0Z5sIC6ZL8+gKV1JkgqaPJ9r0ERULqWUZQ1e3HjOIlz3ZBgv9osYF3V86p5+fP3oFhzhsF7u1erDz87oxK2vR/CvNyP4b08Sr92+E58+og3HL0nJNft4Fu/eqw43vTyO296cxKlrG80GA13XTRURv9+fJu1YqmtcKQWAcsA6dUzJTFEUy9pk+nxvAj98egRJ1UBbkMM3j2/F8hLY4LjB314dxy2vp2yceBa4+sRW7Ns2ZQMwC/GRrjVxePqzx+OpiMZeO8eyIiJqGIqlnoXVJWhkLjfeHBLxuxfHsH3cbo3kwWcObcbKhlQS1B4reqamfpoDHARUTlK/yiurKBdYlkVnZ6fr17e1tSEcDmN0dHTO91755IzsNgjWXCWQmaPaOQAVxRmGgcfjMRsvc00BZyqsUtNkvrySmq3IWqNS0B4ScO1Jbfj6hiH0RBRc/vAQrnlnG+otudET96jBHk1eXHRvalo8nNDw7lu68Y/3dLi2e9mnLYB7PrQMn727D93R1G/0bG8S5/69Czee04nmwPRxMhW3NU0zlaYoxlobBTmOM2177LnuYrCQC1LW3CRNNM9VQ9lcwjCMsluv6LpuXltBEMAwjLlPIzn0uUQ4msBdb0dx9+ZJJKcK4kvrBFywbx2OXhqY1YI4ALw+JOLHz44gHNfAMsAF+9ThffvWpZ2HYRj41f/G0BtV0RTgcOFBdfjy/YOmwtRYcjrW1nhYHLs8gA/sV4f2hhpzLeE4zjGW8zw/57kYQpVTVqXUKx4+nw/Lly/HkiVL5nzRzMeHzi5faZVKz/Y9rL5miqKY8hLUAeX1ek3SIggCvF6vo2wI+ZGvb0/929ZRGTE5JYdjl/y2n7ff7zc/933rW3DQogBkzcD1Tw6D4XIXXNZ3+HHNSW2o9bLYOibjkgcHzeTBXCFfmedioGlamkJAyMPiQ+ubAAB/e20CGsObE1uCIKCxrgaXHddmvt7LMVB14MaXxvGdx8KIiMUlIirJP7FcIC8YSrbPJ1gl1D9yQHYJdSBFYsKJ1D2RVA3s0eDBz961uKxFcSvIwiEQCKCzMYRz1tYCAP6ycRyaPncJgbkmu7MJWiPs3r8RKXVfrG32VIQkEMuyCIVCqKkpvYpBFVUUAoZhUFdXh9WrV+dVUC8H8olZTt7cqqqaf5eNV1o3e6IoIhAImAU/8hSkjSlJtOdKaJJEIPHRbBtb4pRWbkkeYz6fryJiVSHI5hdnhY9nceU72nDhQfVgAGg68L0nw/jtC85JdA/H4MMH1OMnp3dgdZMHccXAj54cxOUPD6N/MnWdT1sTQoOfw+Ckgkd2xODz+cCybJrdTDKZhGEYkGU5o59nIZiPPKsQkA9huZIlhmHgtjci+O7jYSRVA/u0evHj0zpmrSh+7RPDZlE85GHx27MWmUVxYOY+tpwgDh8MBk0p10pIlmWLqzQtvriWR7AMPuylgK7r+M/mKD5yey++tmHILIrzLHDc8gD+9p5F+MEpHVjZIJi5BPta0z2Res+yhsp45r1eLxoaGmb1/qyiimzgOA7t7e1YtWqVKwuGciKf9copxlrzkNneZx9yIl9leq+VXwYCAcfnlQaCrMcgex8qwDqBLGPsnNLn86U1BVYS2msEXPPONjQFOHRHFFzx8NCM/N7yeg/+9f4VpgWPpBk479Z+RBL5rYW/OmsRvn5Mk/lnRQc+dkc/fvncSNrrnHzZyaaCfgPDMEw5dY/HYyoHqqpq/r6lwGzmaecSoiia+7DdEbM5Ma8oipmTn+vJ5AlRw59eGccn/t2HW9+IIqkYWF4v4OvHNOMX7+rAcbM8Ja5oBv70yjgu2zCEcFxDR4jH9Se344P71884jw3b43hsZ2ogy8sBn75nuigOAAILHNzpww2nteOW85fgM4c2oc7Hp+3trbZtVsx1bY/Owe/3z3lOqBJQmTuZKtJAicyOjo453Qi5TYIBM8kmkcVc52/3NUsmk+YCSt2P1m49SZIgiqKjh7nX68Wy1josq/fAAPDKQNIxuQrALLrLsmz6zYiiCFmScPHhjaj3sdgxJuEXz/S7+v5rmr34/sntpq/OJQ8OYtf43JEeVVVnNZFn7VQVBAGnrgqiPcRjPKnh5hcHzQkrIEUS9m314JhlqYSUpBlY1egBzwAv9ifx+fsG8Opg4Yv5fE06F4pKWGTdwjAM/Oy5aQn1M/fMXkBU9VTXHuGYZQFcf0obljQFs7yr9PB6vWaMePdetaj1suiNqnhoW3Yp3nKCJL92B1g3FolEIrVZZQSQfe3BS2rmtFu+rq4Oq1atwrp167B8+fJqYbyKigPLsujo6EB9fX1e3K6UyNerz36exCEEQcjagW/liNYmMvIMB/4/e9cd30Z5v5+702nbluW9sndIIJAwwgghIWHvDaWUVfaGUmZZLbQUyirrV6CMsgkBwg4hBEIgISGQvR3vbWuPG78/zt/zST7JkiyPYD2fD582snT73vd5v+N5ujrCyfNLb3skoWmz2RAMBlVuQQU60b7WVqsVHMepnFLLLek/kmjcE5Fs4PWkiTn419HFsPIKR/lwswfXfVyHQFh/rB6Za8TD84tx0b65MHEMfmkI4KqP6vDu+g7k2G04dZJSlPbKT01wexWOSP5terwvnR6OvyU/yJ5AHffpRFCQ8PB3zXj553bIAI4ZZ8f9c4v6RV0rJEi4+qNafFelPDNlWQa8dEoZiuyR40t/B6qtViu8Xu+gSIgT4vGoLc2D1188IEh4ZmUrTn+zGv9e2aZKoWcZWZw7NQfvnFWBmw8pQI5Zueck8wooz3soFILNZgPDMNjd6VM7IndgE36lpaWYMGECxo4di7KysiFR9J3BngWTyYSKigrVK3sgQHLFiYCUb7Qwm80wGo3gOC4ux9GO01R8RwobJpNJ9aPmOA4+n09Xmh5QeKXVao3gn1rZbu3x8TwPi8UCQRBicspAIDBoOWVpFo+/zi2C08JhV7vSOe4KRh6rM8uMD84drvJEGcC579ViXUNyXbaHDLdjwZmlyNdItn+yzYvT39gNX+e9i35W6J7Jsgyv14tgMAhJksBxHDiO68YJ9J6fVNHfcdqBhs/nG7C150CB1CT6C1Tc4ff7Bywm1uYX8Z+f2nDRghq8s96FgCBjTJ4Jt88qwOPHluCQ4Taw/Ry3ruoI46ZP6/HOehdkAPNG2/HYsSWYWND9/fu20oMnVrSo/651d41XpVkG3DgzD++eVYG/HFHUTTkpOp/Fsixstsh49UA2NfE8j5EjR2LixIkYPXo0CgsLe/7RbxxDI4r+G4HT6cS4ceNQXFw8IPuP7gSOB21HBVUqETHsaXCO9iSnxR959xiNRgQCAZU0UmdINIjYzKiwAwB+bQyrfm6BQABmszmicyjWZJVr4XDdQfkAgI82u/FDdWLkrDyHx9/nF2O4g0erX8SfvmjA+saBq+Dsz0UKdYNTkpZjZPx+mgMA8N4GF2pa3Gp3jyzL4HkeVx9UpHYdbGsN4dTJ2ajIUa7dHV824r9r2iCk0JEriuKAVzD3J+jZ3hPw2TYPfq5PTEK9IyDiz5/Xo6ZTHuuosXbcckg+zIaBmcbU8cfI4qwpOQCA//3SgYAwcAnZoRIoiw56yLKM1bVddiOTiga2ErmjowO7du1CTU3NgMsKZpBBLDAMg/LycowfPz5hbtcXSDSIqZUyJP8/SnL3BOrOJpjNZhgMBgQCAZVzUhDUYDDoBruCwaDaXU780WazwWazwefzqTKWlET0+XwJSbTvqaDOpGQwOs+El08pUz2Jt7eFcf571djRqs+/OZbByZOy8dRxJdinxIKQKOPFNe24/L0dmJBvQq6ZQ6NXxOIdHvX+kQQpyZparVZYLJa0BqQGWzdWX4Oe/XSg2SvgT583YOkuHzgGuGJ/J67YPw+GfugWafUJ+MP7NdjZ2QW8X6kZTx9fossj+3PupuTJYEO84oAtLZ2J8UEko17vDuPurxpwxptV+GizG0FRuYdlWQbcdlg+Xj+jAmdPdcAQtR4WBKEbf6ZCqKrOxPgwx8Dy69raWuzYsQNtbW0DehwZZBAPJpMJo0aNwpgxYwZk/yzLJsVLKDlHyexEk8vhcBg2m03lr9Q9TIqIZEFCHI/s7qLh9/sRDAbBsqzKH2m7lJilxHk4HO6x65MURwYryrKV5HiuWUmO3/FlA9ya5HggEADHcXjrzGEoy+pKnN76RRMWbuxIal88z+OlU8txyX4O9TO/IOOMN2vx5i/KOEqxaqvVqiurTp2eVOxKtid0T9LJK4dSwSXQv6o8gwH9XSxksVgGbCxo9gl4dmUrLnq/Bgs2uhAUZYx1GnHX4QV49pSROKjC2u8JcVmW8dFmN679uA7b20LINrG47bACXHNQHqx8171xBQQ8s7IV57xdhQeXtUBvJXDNAU48d2IZZo+yx7yvpCpBILUJ4ppamfuBQDgcRmVlJXbs2DGo54z+RCYxvgfC7Xb36/6IDFA3daITmcFgAM/z8Pv9SVUvyrIMhmFgMpnA83yE5x1VShIsFktEMIGCnTabTQ1qTClQiNXKai+8Xq8atAwEAgkHVaeXWXDaFEVi4rHvW9DiSyyYmW814KEjizCpwARvSMKdixsTTqynG1TF2l/JM4PBoFZfAsAhw6wYn29EUJTx2i8d6iBMVbRWg4zLpueqv393gws3zirF/DF2yADeXu/Cnz5PTZZ+T+qiTgcGqjKQVCESGSOSkVDf0RbC9Z/UYWOz8sw4LRyu3N85IPeVFr1aHD02S1FECIh4f6Or34+JMFQWVZSAArp8UFdXK936FgMzKJLRoijC6RyYZzSDDJKBKIr9LrFG84TP5wPHcQm9J6IowmazQRTFpJNIJE2slbukjm1tQIwWuNoxngoo7XY7wuGw2h0UDofh9XojOtIpQZ7oGLSnq3yQrUgy45yZ5/DI0SVqx7cvLOPaj+vx4ebYc2dxFo/7jijAzbNKYDey2NYawi2f12O4Q+H3b67rQDAsRngZkow6PdtGoxEmkykt3c+pFAXsyUimMDoeNjUFcf0n9djWqgSl7ptThGPGxVdUIdus3vKbLc1BXLywBh2dEognTcjCPUcUxXwH+7PQcLAGiCVJ0u3qkmUZWzr5OBW5DCRW1/px5Ye1uHhhLX6qDUCSAQbAlCITnjquBM+eWIaZw2IrS8myHJEcN5vN6rxY3VmMWzIIlF9ZlkVOTs5AH0YGGfSI/o5VAgpXk2UZHo8n4XmeCh21KkCJgjq7LRaLKrktSZJq80ixT/Ky1sYvKUZGvyXuCABerxcsy6rqmD6fL+FiPIqhDmaU5/CdHuMsdrSFccfiRng6k+OSJKnX9NkTy7B/WVdB6/M/teOf3zYlvb8TJ+ZgwZmlsPNd1+WVX1w4753d6rMSa03h9/vVIly6x4FAAKFQSFWdothzb+H3+wf9vUsnSGWhv0GWqv3dRNTfakADEQtr9Ap4+scWXPx+DT7c7EZIlDE+34h7jijEI0cXY/9y64AoWrT5RfxlSSOeWdmKkChj3xIznjy2BDOHKfOEJEn4cLMLf/ygBue8U4OPNrvhCnbF0icVmEBv5tlTcjBvbM9KkKFQSI0NUKyB1OrIBmOgIUkSsrKyBu0apL+xZ0dkhij6a7FOXTnU7U0g2ch4JMBoNCYtCWe329XAh8/nQzAYVDvPyVOcCArB7/erlXsAVBJJMusAMLnQBJ5j0OQVUO1SCGYq1/CCfXMx2mmCKyjhkeUtkBKccOwmDvfOKcSMMqXb5YGlTfhi+8BILgeDwT6RRdQD+TsSGIbBhfsqie8vtnuwo8WvLiKIBB85zoF9ijulTSXgr4urcdnMEtx6aD5sPIPNzSFcs6gW31Z6dfcZC+T1NFQQ7b3c16CxQJIkhEKhHq91MhLq31Z6cfOn9Wj0ijByynaPGWfvVoXXX9CTuuI7PVEBpaAj2jervzCQ8uH9DZ/PB4vFAoPBAJ/Ph+2tnUUT1u5yZwOBdCVgMsigrxHPyzDdoEBgKBSKKI4jvhlv7iCp4URBRZIMw0CSJDWhTgFHCqJqE9k0hlL3EKBUfYfDYUiSFME/ad7Tyl4mA4PB0K2ifE8EFTckG2T6w765uPeIQvCsIpf57Mo23LukAWIMZSCGYTB3lA1Pn1CKg4dZIcnAz/VBsAzQ5BXx5XaPGngOBAIwGo1q0JkkR4PBYNr8xgdDAVZ/wufz9SqQuHi7B7d+UY+2gIjhDh6PHF2MqcX62yOlMUAJJgaDwV7ds6U7vbjx03qERCVhes2BTlw8PbafnsFgGHI2THqgNXU06j0C3CEJBlaxPBgISJKEBRtcOO+dKtz1VSMqOzu7eRaYO9qG18+owN+OLMZwR2LHR2tRslULBoPwBkU0epXzr8gZeEWm7OzsPb6YKoOhgf4MtJOHt8/nUzkczVfx5ixtkWSioHUnALUrnGKRANQku7bYlIonzWYzGIZRuV8wGOympEnHEgwGU5pvifcMdlTkKJ3jOSYW21tDuHNxIzwh5TrQNbVYLLhnbinOnNIVI1qyy4drFyVma6kFz/N448xhOHWiXf2sPSDjhP9V4eON8VU4aA6kYzKZTGrBAqkDpMNvPNpOdChAkqR+m9NojUk+8qRO0F/oT6l8hmH6teC9wSPgyRUtuHRhDRZt8UCQlGTy/XMK8fD8YuxXalHfj/6W0F9R5cOVHylFk0aOwR+n5+KeIwrhtBqwtt6PWz+vx8mvV+HZlW2qKqn2Tb5hZh52d4QhA5g1wopzpiZenEh2wCaTSY010PwwWFSiHA7HQB/CoEGGXe+B6OtgDAUuKYiol3QiHxyLxdKN/PI8n7Q8JMlTiqKodufQABoOh2EwGGKeNxFTLZkgWSIAyMvJwpQihSSurvOr+4rev8FgiDk5G41GQBRwx5xSmDgGa+sDeG+DfneLwWCAxWJRJZGsViscdivumFWAuaNskGSl6/yd9R0DElijQHB/dI9rnxGz2YwZI5w4eIQdkgy8vNalXm+qzBcEAVcekAdSNGn0irj/yyrMGZ+Hx48txYR8E7xhGQ8ua8bjK1oSlq2mxPtQgrarNl0gWVKz2Qye59XnO/p97ylR/enWniXUJVnGq2vb8eCyZgRFGZMLTQh3yiLOHtm1sEm3lFU8sCwbs9jn0OFWjHEa4Q/LeOPX5OS+0gGyhBhKoGQHANR7lPtSEUd5oD8xmH3eMshAC1EU+zw5S4HL6IAhQevrTd7c0b9PdhHJ87wadNFWZ4uiGDcYQwFLOgYa82l85TgOJpMp4prpBVc4jlNlGPVgNBoT9hUkXq7llYPJn08QBDUAkMyztG+pBS+cXIZCm3L9fqwJ4MIFNWjw6M+z4XAYRdkW3DOvAncfUYw8KwfKo/9ndRt8Ytc91XaL6x1vbwNi/R1UGwwgm6RkIEoy/vNTGx79vgWCBBxYbsE/5hej2K6s8+i5ps5wKlhJV6HfKz+34R/fNUOGkjR98MgizBvTc5d6f63PzGZzvyt2JIpYQXrqFh/tNILn+rewxxeS8MSKFpz2ZhX+s7oN7Z0KADkmFn+Y5sC7Z1XguoPyYTcmH+KisZ+evSqXMg7lmjlkmQb+XR8sgdQMMugJfV2obTAYVK5IVo3RIFl08uaOhslkSjp+QOoSVDxJ2w0Gg3HnDGpMsdlsutyN5kDt/Kq3PYPBEJd3JCK3TojmlP1dzD3MYcQDRxYh28Ria2sIdy1ugDfU9dxQg82lB5bhrln56ufb28I49+3dKe3zD/vl4X+nKrFcwsPL6nHJwhpVVUh7XaK7wanAMhqkPNBbDKUGB0DfxqS3oPgkFbHQ/Yxu2AL6T2mRYZh+jdH1V8y7zh3GY98349KFNfh0m5IQn1Jkwl/nFuGheUXYp8TSbU3YXxZi/rCEx1e04P6lTXAFJYzK5fHo0cU4sNyKR5Y34/Q3duP2LxuxrjGIzvAySrIMOG1StpqHOG1yNl7/tQOekIQJ+SZce1B+0vESn883aDk+kOGVWmQS4xlEgHz4En2B/X4/QqFQRMIslYCGwWBAKBRSfR61wULqWNf6u2hhtVojArs0ydExyLKMaSUKWVldq0yKHMfBaDSq3yWiS7/Rkhttkn54rhmXdsp9v/JzOyo9jOoHRFWE1J1CskhE2HkDh2sPylPlI19a044XVrcn3HmebvRH9zglvEOhkCpd/7sp2WAZ4IcqLza2dk8clWTxOGeqQ/33T7UBvLyyAeW5Fjw4rwhn7JUNBsDn2zy4/pN67GxLrDt0KCap0tUZRf6sJCEbCARUaSm9CTUe6Wn0CHhhdXwJdV9Ywl+XNqkJ5pMmZmFaiRkyFMJVZO9apPR3t3isc2MZBhdMcwAAPtnqRp27bySTYiVzBqLrsD+rX3uCqzM4Oj5/8BxThmxmsCegL8cO6siJFbiMBhXuUZGk2WzuZpmTzL61CVBtYpukEDmO6xZAoECKNlEPdHFK6j7Xwu/3q0FNbcGfIAiqtKWWa1ksFpVnU+KdkoIUxLHZbKoikrbCnP4bTIlxQird47kWA/7vpDIcVKHchxa/iEsX1mJZDGUg4pMzSk146rhSzB2lSCQHBBl/eGcXVjf0PPeKopiWgNhgmgP7AxRUTLTDxxOScO/XjVjQaTFz5l45uG1WAay8IkHKsqz6XFNneCzZ2FQS1X9d2og31yn7thtZPHNCGSYXxX82TSZTvwWxaO07kIjV6UYdLnrY3Ef+4tp1eTSqO0K4/ct6nPlWFT7b5kGocwiuyDHg7sML8NrpFTh1ck5au8/IX7xigP3FCcnYdGSQwUCiL3kl2SrGat6JBiWLWZaF3W6H2WyG0WhMKVFFnt/UgEPnSUpIJK8d3TRESTpBENS4KdAVwyD/We11I/tKbYGlIAjqbziOi/CrJale2ra28Ez7HzWrRHNKUmLrT4xwGPHAXCU5vqUlhLu+aoBPkxyn7vFZ4/LxnxPL1c87gjJOeq0yJXnqbAuPd88ehtkjujh5nVvAvBe24rvtbRHXJRnFSbIW6g2CweCg5PZ9iWAwmLZYNL0DlIwUBEG9n3pzZ38lxi0WS78VPaRSSJ4salxhPLK8GX/8oBZfbPdClIF9is148Mgi/O3IYkwrs+m+N2TN29fY3BzENR/X4fNtHjAATpxgx/5lFtz9VSP+8H4Nluz0wS8oz0OWkcUxY+149bQyPHlsCVbV+hHqTPBvbAygzi2gyMbhjsMLVOXS3xKSUeL7rSOTGN8DkZub2/OXUkSqSSbqLo/20EkUHMep8hKUXKbFbSAQUJPONNDbbF1eYSS5TsdOgSpK1vt8PsyoUDpM1zUEYTApvj+hUEj3fA0Gg0q0aIKl6kCGYXDcJCcOHmaFKAP3f1mNFpdXJd3BYFB3m+TTZrPZcNH0PFVSfMFGFx5d3gIhhnRkX4OC0FRd1x8oz+Fx9Fjlfjy9vF63MODkSdkYoQlEvLq2HatrfTAaOJy/Ty7un1sIp4VDVUcYN3xSh482u3sMFqTS6fJbQG8r83ieh8FgSGoBGUtCLREJ9Tp3GDd9Wo8V1X4YWOD6g/Jw0b65WLJDmbjnjOrqFqf3s6/AsmxEF1NPwdJ9SizYt8QMQVIKZxLZfiKg99NgMKjqGBaLRU060YK8P6FXpDRQ8IQkdPJbtQhqMCBDNjPYE8BxXJ/5llLXdqoIBAK9SlKFw+GIAkij0ahyNIPBoFr0UKCQPqd9knoSbcNsNncrkKLxmPyt9c7XbDaryWwKSFLCnPyTKSno9ys2M8SpYwU4iBuTPOdgAXWPJ2MnwTIMbp9ViD/OyAUDQJSBh5Y147Hvm2NKqwNKsvO6mfkql/CGZdz1RS0eWtaE9h4sTdJhOdPfnoGDAYl2RtW4wrjp0zr8VBuAiWNwyyH5+N0+DrCdwfpY66VYSOYZDwkSrvqoFsurlPe4PNuAl04piyiqHAiQOhmNNyzLpj1Ymigvo3FLlmXIsqwWIgHKOjrevekrf3GyvdDihyovLvugBpd9WIe19UHIUGQup5WY8ewJJXj6+DLMKO+b9evuzsT48EEgow50JYkyyGCwIysrq8+STqnyHbLDocLIVEAJeUrwEAfQ+iWHw2GEQiHYbDb1GlDHKEmk0zhNNkI03hK3pDV/KBRSCyyjwfO8Oh9T5zydp9ZGRtvEQEWqsWI6lKTsTyn8kblG3D+nCFlGFpubQ7h7SSN84ch5wO/3oySHx6cXjIahc4oTZODkN2tR15EaD7vxkAK8cGIpDJrH6S9fN+G6j7uk2onbJ4reWs4A/WtDMFiQjkaeVIqo+6N7Wbum7AtoY5WpFpL3BBpzqzrCePjbZlz+YS2+2uGFJAP7lZrxj/lF+Ou8Euw/0qnyR1L1oEKP/kjYi5KM139px82f1aPOLSDLxKIsm8cHmzx4Y50LzT5lnOVZ5bgfPboYr59RgSsOyIPDbMBzq9qwqz0Mh5mFw8RifVMIVp7BXbML4TAPvGpQXyATq+zC4IhqZ5AU+uoB7k0VT28nMxpwtYs+7WQVCATg8XjUxJAgCGgLArypS6KDKjVFUVRJoiRJsNvtGOU0IdfCISjK+KmyTfUsB7pkMamSkgIXPM+rAzgln8g3/eoDnCiwcajzCHh2VVtC143IrcFgwNnTCnDr4SVgGWDJTi/u/7opYVnwvgBV1/WXt83ZUx2wGBhsaw3hm13dJ0kDy+CqA/JUjw8ZwN++rocrzMJoNOKAEbl45qRhmFFmQVgCnlnZir9+0wx3MH6QbSgmxkVRTLkC2Gw2q1XMySDWorUnCfWf6/y44ZN67O4Iw2nh8NC8YswZbcfm5hBq3AJMHIOZw7oCYH3ROaHt7KNFNCUsEsEF+yqB/W8qfdjaEl+ijeTdLBZLt2eTFstGo1F9P7X+qZRYoU7+/gTHcTHlxAYCa+q6FhyjcgfPO54hmxnsCZBlGW63O+3b7W3SpzcBC22QUGu5oFUUIp85QLkGgUAASysD6rEDULtFqHOb/MltNpua6KbxmIqVGIZRfR6tVivsdrvaSSKKohqQpIR4dNcTyXsmMr9RFxTLsj36afY3aN5MJvl8/PhsPHJ0MSy8wg2+2O7FlR/Voskb/1n4w765yLMqwRcGwLJKHy7/oBaLd3jiXkc6PkoKsiyrSuDHk8EnhMPhIdc1DnQ9d7HwU60fN3xSh2qXgHwrh4fmFeGwEUpBcyJFhtHQrsd6QotPwB8W1GBXu/JuTy8149/HlcBsSCzk0Rd8ioKWpE5GiYl074tsx0h5IjoxRWtd8tXV3gcqxOE4DhzHxRx/BUnG9tbOjvE0KvRo/T8lScJbv7bjnLercN/SZlR3+j6aOAbHjLXjzTMqcN+cIpRl920CQe0YHySJcSCjRJTBnoG+spOiIsNUwPN8r9atVqs1wsOc4iM0F5JfOHECWZZV9SOtiiXFMSlWKYoiTCYTbDabqnJE26f4DXWiaxWFwuFwhNImHaOenHqiSSmKwxIP6i/bnlFOI+6bUwibkcXGpiD+8lUj/FHJcbpuH/5uFBzmrvn8kg9r8f3u1NbbhVk83j93OKYVd81l21rDOOHVSmxpTi2ZqVVSpflWyysT+f1QRKrNFqQCmyyv7OvmGkI8O9jegFQotLHKvkjAW61WVLtF/HN5G674sBZf71IS4jPKLHjk6BL8/dgRmFbhUAu6aYylIiJSAe5rhc86dxi3fF6P137pgCQrSU53UEK1K6wWVI508LhxZh7ePasC9xxRhLEa1aOlO734rLPDfP8yC5bt9oNlgD8dWoDhjt9usQoVcmWQSYzvkejoSL9/bW+reHpbcUXSRFqEQqEIckmLZovFgl3NHlzzYRXOeG0LfqgOqB7SHo9HreAMBoNq4EGSJOxXpmx/dW1A/Q7DMBBFUQ3gURCMutABqF6S2snGbuJw8yEFYBngy21uLNnp6fEcKcgWCoUQDAZx+Agr7plTAhPHYFWtH7d/2dBjYrevQR1IfY18uwmnTlYk5V/+uQ0hsTthmFBgwjHjlO5gAwu4ghL+8kU1fAHlvlo5CXcdXoBLpufCwALfV/lwzcf1WNcQu7N5sCTy+hupVFdbrVYEAoGkExvUCRSNhjgS6rIs44NNLtz1VSPcIQnj8ox49OhiVRb7q873a+YwK6x817SV7i45CiT2ZiwclWvE4SOVAPCLa9p7JMOUtKHFNXUkkgpHT2RFu3hO1t81VZC022DxwqJ33mJgBk0XOwC18zODDAYztHwnnSAP7VTA83yvF2rUERkLkiSB53m1AOzLbW78Y1kDjnphMz7b7lMLj4BIj7BQKASv16smugj0d1mWVX9rn8+n+plrpfxIijP6+hiNRoRCoYSDKBQkpoADcbjB5H2drDzn2DwT/nNSGYZ3qgZVuwT8cWENfqyKHfg0cgzOnZYHAMg2sRjpMMAdkvDo8hbc/VUjGjyxn0OtZCbJ5AuCAEEQ1Dk5HgbTte4vyLKsG+CVZRnvb3ThniWN8IZlTMg34dGjSzAmz6QWmKTCrxK9xluag7hkYQ06gsq8e/LELPzliKKkeEE6i0u08rb9sf6ggh8ar6hrh4ovaa0bj5cQ9yRLhOi1+a62EMISYDOyKM1KT8KEEvWekIRHvmvCqW9U4eW1HXB13sdcC4s/zsjF22eW44oD8mBNwT88FVDH+LBBlBjPFFxmsCfA5XKlfZu9tZ7obXMEJaKjt6PlN1RUZLfbu3VpU3I0FAqp3d50PjRuaxNI1PFNShqU+KJGG7IrBKCqD+nNr8nEeCnOSjLUANTkfl9jTJ4JD8wphI1nsKEpiHuWNOo2DYmiiDfOGomxzq5k1QPfNOOVta0p7/u+ucV45KhCNTEiAbjh00bcsqgy6W1JkqRaD9J8q+WVJpMpboJcayc6lJDKepGuU7LjAjV49AfSzf2o0FL7jvYVdrSG8JcvqvHH96uwZIcLMoADKyx46oQKPHjMcIzPV46jJ1XRYDCoqgJbLJa0qiJQDPmyD2qxubnrOaCRI8/K4YzJ2XjzjAo8cVwpZo+yd1sT1LjCePKHFgDAzGEWfL5d4Vl/nO7EfqX9ay8xEMgUXCoYPBHkDBJGXl5e2rfZG6JJgbzegBbrHMepkiAGg0Ht1KYJIBwOdw6AbrQFJHQEJNz9ZQ3uWtKMHa2RXTgUSCGSuneRMgivbejyMiG/cQLtA0CErGZ0lZPJZMI+ZVk4cy9FfvTfP7aiPspTWOvrQ75CNDlarVYIgoBpxUbcP7cIWSZFPujWLxrhlfpP1lwP6fDI6QmCIOCkidlwWjg0ekV8tFl/AXX+PrlwWjgIkiJ7sqk5iBc7k6uAQuBPnJCNh+cXozTLgCavgNu+bMAb61y68pukJjCUkGoVZaqernpjQTwJ9bCo/O25VW2QZGD2SBsenFesdn+FRVlVFZgzyhax3VT8wfSQbpJ53t4OGFjgl/oAVtfFPsboYK8kSarUWrKgJIzRaOzT5DDJAA+mBPSONuWZy7MOvgRFhmxmMNhBnSrp3mZvxufeBjCpM5s6uQFl7KKAk9lsVuXtAoEAzGYzPt+mFGAJEvDYdw04/90arNjtUbu3tRJ1LMtG8DniqZTQpqAXJQIpEUXHojdPEi+MlRSn7h3qQidpTgL9jtREKPhAxzeQ3Mfv9ye1/2wTh8ePKcHc0cpzGZKAe5c249mVrTGth44en4N8K4eOoIQjx2Th/H0c4FlgdV0AV35Ui4Wb9HlhPNBzFK/oLF08ZE+CnsJYWJTx2Pct+L+fFC43d5QNfzuyCLkWZV5O1pKHYDabE/rdkh0e3PhpPUKi0hly7YFOXLSfM+n9pau40GKxqAUx/QUqwtGCPDaTLX6iZz9a9WFLS5eMerquVY0XuPnTWpz88lZ8tdMHahQc6eDxwNxCvHJqBY4fn92vvDMgSGjsLKgZbB3jGZ/xDAY7nM7kx96eYDQae1Vs3NsCUOrEpgQ5JaOJb5nNZlWJyOPxqOMjFWAajUbVuoKS3dpmAq2lJPE2+lw79hmNRvU3BoMBJpNJVRrSgpTn4s1BWsVMq9WqJuhp2zTeUNKebEC03dDpxJg8E+6bUwQrz2BdYxD3xkiOC4KAJ08cFhEXevNXN+75qiHlfY/Lt+CD84ZjjLNrvP+p1o+TXqtEozt9xcNkIxMv1jrUCi5JbSsZmEymmLaoify2v+ZRbZF1b9CfhZbbWoK4/+tGXPNxHb7Z6QYD4JBhVjxxbAnumFWI4dmsutZMBlTckw61LUmS8M76DpzxZhWeW9UGbY+d2cBg1ggbnj2hBK+dMQLnT8uNWVAZEmU8uKwJfkHGaCePldVKzPz48Vk4Vsfy87eITMGlgsET2c4gYaQ7acnzfK+SQalI7BChogCllgBQ8NJoNKqd2lp/6EAggPP2zYeRUyZQjgXW1Prwx/d24ekfW+AKShG+PzTRTitRCOa2liBafV3nS35vNptNPS7qVrLZbAgEAhH+kySJEwqFcNaUHEwqMMEflvH3b5vVgB1JBVKVaPT11QaUJhaY8OCRRcizcqhsD+Gq93dic13HgCbHtd3z0SDZzt7CajTgvL0dAIA317l0u+VtRqVLAIA64S3c5Ma3lZED+Jg8Ex47pgRzRtkgycCrP7fhti8bdOU3B5MXZ1+CfKmpmCRR0EIoFZAfazQ+3erB2nrFZ1Irod7mF3Hblw34YrsXLANctG8ubpiZp77bAPBDtQ+ekIR8K4cpRZHEsrf3sjckUyuVG014i+wGHNdJpl5c3ZZ0ML43CAaDfSZ7pl14D6b3qN6tvOeDqauHkCGbGQx2aO0j0oXeBnVSqf7XFiNGdyiT3CTQlfDRjvk+nw9PnjIav9/HoVq4tAVE3P5ZNS5bWI2drq5goSAI6vhH3ZXaAAFZ+pDaEHFL6sKhIgQt9yUfw1hBX4Zh1CQbJdq183p0UJTkMKlrRVsAMBihJ1vOsQyuOygf1xzoBLmufLjZjRs+qUOjDrfjWQZndBarvrPehZMmZuPJ40qxV6EJAUHG86vacMvn9ahsT76QN17XOwW3hwIo+B/NEdv8Iv78RQO+3KFwuUv2y8W1B+WB7+RyvZGsTCTo+fKaNvxzeQtkKEW0D80rwpFjBiagZTQa1ULLZAO2NE70xuO1LwLq2uT4lk6LoHF5ve9oW1bpxaUf1OKSd3difaPiH84yikTniyeV4YnjSrF38cC8W9UdivxmjolFziDyliSVuwwyGMzgeT7tXsm9SWyTLVkyIHsa6nKM7gzX2jvG6pokHghATYaTSpHWe1jL/ahZSBRF9bdUzGmz2dSubpPJBJ7nVcl2ivsQevIbpgQ78cro+Sr6/gWDQdUGhH5DTUzpxLh8JTlu4Rn80hDEfV83IaiTHA+Hw7htTgX+ON2hfrayNoBLF9aotpip4F/HlOKuWfnqvwUZuHBhLf75bVNK29MDFRvEmq/7q5t5oEHrT4qrJ4tUkttGo3GPa1pItdCSrm8se51obG5WlBqu+6QeK6r9YAAcPsqOJ48rwa2HFWBkbnrGdCoCSmWO+LXejz9/UY+TXq/CS2va4ReUZ4ABMCHfiHuPKMSHvx+Lmw/JR1l2z8VU//dTK3a2hZFlZNHsFRGSgOmlFly8X24qp7ZHYk97H/oKmcT4Hoh0y6sIgqCb3EkUySzQWJZVqxfJh4I8zchbDNDvQtd6s9g4CceMVwJg4/KMmDnMCkkGFm3x4Pw3t+PDzV2dIRTQcpg5jO4c0H/c7YLRaFSrNw0GA7xeLzwej0owqXuTSCdJVJLXndVqhc1qwU0H58PGM9jSEsJra9u7EVG9BBJJwxOGO4z4x/xilGcb0OQT8afP67GuzjOgyXEt2dB2G0mSpEqQ0nOTbJKMPDjnjLJhhIOHNyThjV/1LQJmVlixf5kFkgzkdXaePPZ9C6o7ojr0eRbXz8zHjQfnwcqzWN8YxNWL6vB9VeRgT56hv2XQ4iuVzoJUO/ViJdRjSahvbQni+k/qsLEpCBvP4O7ZhTh5Una3e/PVDiWxePhIWzdP8lTHQuqiS7Wbh8YE8s8JBAKqXCXhjL1yYOMZ7GoPY+ku/eRoX1WrkkxbOkHSv4OxU4XkNsen0e8yXciQzQz2BKSbV4ZCIbXIMFlQcWSiIJUgKkakRDDxJwouGgyGCDUhQRAixmy/348LDijF8yeVosjWFTzY3RHG1R/sxi2f1WNXpzpFdGcmFVNSsJKUO+iYaPsAVBsfKrIkD3LqINELFJjN5rhBI+oy6uk+kgrTQEA7t1MnEz0f1ClP3UvaazBvTBb+Mb8Y9s5q/x1tYVzxYS1+qI4cW2VZxvyx2Siwcmj1i/hsqxtl2Tz+emQRrtzfCSvPYHNzCNd+XIfX1rYjrGPhEw/xkpyDcV5MN0gtJjr4v62Ty21qDsJmZPGX2YU4cWIXlyOZ7FTQU0JdkiTc/3Uj3lqvqE5lGVk8d0IZJhWmXgCSqgIaddGRXVaysFqtqjQuFVWbzeakxlCGYfrMM5O2u6VTqnJcfmoBUkGS8OrPbTjrrSo8tKwZtS5luxYDg9P2ysU7Z1bg7tmFKLD3va9tPAxGf3FCpuAygz0B6S7EI96QSiI22SQpdXJTESXZnhHHosS2IAgR29bKYFM8UVvUSMpA0RZGelaGtF36nOwwvF6vypGpAJLUMSmma7fb4fF4VE4VnRAjb3MtonkMHW+8ZFo4HIbRaEx7zGF8vgn3HlEIi4HB2voA7l+qnxwHgOMn5ODBIwvUf9e6BZz+RqVqh0NFDckUje1fYcNH5w1HaVbXeS3Z5cOpr++Gy5+eOVbvHhBIheC3DoqZJ9ugF8u2MRH0t+JhqgpqNN6lWmhJ+wa67MBonRkda93YFMBdixtw46f1WFmjeGvPHmnDv48vxZ1zyvvMYzvRcbnJI+CR75pwxpu78ecvG/FrQxDUc8QxwEkTsrDgnAo8edJIHDA8O+LZiLc+W1bpxcdbFLU4q5FBR1DCCAePWw7N7xZz/i1Dz9ptKCKTGN8DwbJs2r0ZKLmTbHCUqh4TRSz/G/ITp2QedVlrv0tJPiJfJ4yzgWWAjU0hnLFXDh4+pgIjHDw8IQnPrmzD1Yvq8HOdP0JuclqpQtLX1Cm+5Fo/NgJJPlLXTyAQUImVtiuIrlm504qrD1Tk7d9Z78IPO7ukvgH9xDh1GfE8rxKfQpsBD80rxrg8I1xBCTd/Uo1l21rUoG9vQftKxIuY5N+JEOsFw8LhsHoNSCZGG+jUBn4NBoMqJUXnGwgEYLdZcekBRQCARVvcqhw9FVAQIbhsfyfMBgYtfhGlWQb4BRl//aZJV15p9kg7/n1iBcY6jfCEJDywtAlP/9iiEurfMtkkD8dk30sCka9UoLcoipZQpy7qr3d68afPG9DsE1GebcAjR5foeri0B0T8VKscz5xR9oi/0fvYExiGUZ89rRqEXnV0IuA4Th2HtCSCKsZJLi3bxOH0zu61V9a2I6QThO+rACbQ/X5oO9yTKQyxWCy6RQ+DpbjEFRBUNYl9B6EPUE9+nhlkMBiQ7gAm8bdwOJx0gV+yQYtYvpMU1KPx3mg0dusU10qtk59jucOC/5w2AseNj5xzNjQFcdWiOtz3dSOaAmzEey3LMmw2mxrw1PrXEce025XtaRWNJEmCx6MUQWr5r/aakQJRTyAPt1jJNOLf6bTLoUKARKTaJUlSv0scOHoOpO6lUCgUEdCcVGTF08eXYnSnp2RAkHHf1014YXU7DEaz2jFvYIFz91UCpG+vdyEkymAZBkePy8J/Th2BmcPtECTg9V87cO3HddjUlFhgjQLSsUDrhN8iqOhPjy99syuKyx1V3G0eNpvNKc2BPSXUQ4KEqxcpXS0AUJFtwIunlPUqoWqxWBIKDnEcp3IqktSlLrpU90vPvBaBQEAdQxN5vtLdoalFOBxGQGTUhPGEQkuEDG9PaA8IeGhZE057owpvrHPBE1KeiXwrh6sPcOLts4bh8oOKYDQMjvdI9Rd3DL7EeKbgMoM9AekuuKQxVpKkpBPdySSmKP6nl1AJh8PgeT4iUa59H6kwinilVmGI53lIkpTw2l8UxQi+RD7VdBz0d+350Xrd4/GovIV+q+WFejaReudLv40VOyA1pnRZFVKHq9lsxn7Dnbh/XinMBgZr6gJ4YGlTRCyF7FmsViv2G5aL104pVRWffGEZJ7xaiXZvV1GDtquemnr0YpXUPGEwGPDciaW4/uCu7vGgKOOcd2vx0hrFj5jmv1TOvaf347dccEncIdW5LNUknlY9rD9A73wiIFsEin3Te59qAQBx0+hr5fP51PXVuoYAbv+yATd/1oDVdQGwjGKD9PTxpbjx4HxU5PB9Gu+LHoMMBoMar2U4Hm/82o4/vFeNP7xfg692+uALR74Tc0fb8NaZFbj8oCLYrVaVM2sR6z2qc4fx+ArlPS62G9DgEeEws7hrdiGs/ODgof2JTMFlJjG+x6KgoKDnL6WAYDCY1ACYyEKdSA55HcciD4FAADabTR0Q9UCkxmg0Yli+HbNGKJKUCzZ6sG+5Hc+cPAJXHVSALCOL3R1h3LG4EfcvbUJrWEks79spp76q2gN0dqgTSaIAn8lkQjgcVo/TaDRGSLxETzAMw+CQ4TbMG22HDODh75rRERDVv8UDdQ4RcswcHphbhBnlNgQFGfcuacRnm1rVDvPoa0fkTXv81H0f7RtE3kjUjRCvupPIdzLJQ1qw0IREhQe0LZL01hYX+P1+TMlnsU+xGYIEvPxzu7rYoeraUCiE8lwrLppRCABo8wvIMSn39+mV7RFeR/Rfvhn4+/xinDIpG4CiJHDjp/XY3SmhmUpCdDDDZrOpfjnkq9qfiJVQj5ZQBxRp8Ye/a0ZIlDGjzIJ/HlWidpFHY+lOL0RZUYXQdm1EF6nEg8FgUAJ6Uc9nKqCuQ5Jh0quSDgQCamLjpEkO5Fk5NHlFfLTZHfG9RAOwqYLk2uj4QqGQ+u4nsoAj+4hYvuuDJTG+pq5T2h3A8JyB7TDSA415GWQwmGEymZCdnd0n2042KZZI0IJ4G8dx8Hq9MTmjz+dTeWWseZ+Cm8SfRFEEBxlXHFCAO2YrXoda/FDtxx/e3oFHl7eg0SOowTXiVWQDRLyMEmgejwdGo1HtXCfLoJ4Qff16KmDTu34Mw0ScPx2rXle/VpKe5hAKHmp5JR0HdVNRgFIPFKCl7yYCkoOngGauhcPD84tV33EAeG9DB656fwd2tygLelmWMavCqHaNf7rVrRbHZRkk/PkQJ/50aD4cZoVD3vxZPZ5b1Qp/uGu+pOS9llMmEoQfrDL1qYDnedhsNrUjLtqjWpJlvPJzG/7+bTOCooz9Ss14WIfLaaVik0W8hHqzV8AFC2pQ2Zm8nFFmwVPHlcCcYlKV53k12ZHId0VRVDlVKj6LWtB7xHGcancQXQxNweOeEtB9zcsq3RJkAAU2DjlGJkKGN1Y8YEtzEDd+Wofz3qnBskofqJ55rNOIf8wvwkunlGP+2MHn4zjYO8Z/y0mTDH4bcDgcae8kJiSz3USLs6h5g2JXevyMVBOpKCoWXw2Hw2qSh5QKKR6hVe6h8+A4rtsYynFcRGJam9Sl+AOtz0lWnbzAge4xWroGDMN0KybtSZ1Fr1BAWxRAKpt0DfUUgrSxSrLPocI7rWc5Nd34fD6MdxrwwLwymDgGq+sC+OvSJlXth+4PJQ9zrDzeO7MUpk4LFwnAOe/WYntL1z2KburRi1VScQFd2zkjbVhwZikc5q5zeme9B2e9tRsdHR3q9qipR5vwpvg3XRftdehJnYbUCH8roHvPMF3cIRX0xpqnP7tiKc6XyLFqlSR6kwyP3h4951pLB1mWsbrGg2sX7sStXzRgbX0AHAPMG2PHcyeU4rqZ+SqX76kouLcgq1xaPwmCgMWbW3DpO9tx3H+34dW1HWjyKWtXloFa+JJr5vCX2YW44eBC5Gbb1ThvogiLMh5a1gx/WIbTwqHeI8DIMbjz8EIU2n4771wyyBRcZhLjeyxyc3MxbNiwPlkEJ1tx3tMxkEwKEQAKnukFkbSJPfIfj+7ulWVZ9bg5tTPx+c1ONypbfGAZ4KjRVrx69licPDkXLAN8v9uLC9/agf+uaceEkmyYDQza/CJ2tYXUaizqoqHAHXkOG41GNThHcpzR14eI56UzclGRY0SrX8TjK1rUzuR4xEcvaJRtNeG2Q/Mwa4QVoqwk2t/f0K4SL/LS1Ha+ao+fyKs2YBGrS1+vc5pl2T6ZBIkI6X1+4b65YAB8U+nD+npvtwVMKBTCvJEmjHUa4ReAkU4TWAZYvN2NBb80RZwnnSvPKdu954hCOMwsdrWHcf0n9fh0q1uVyN/TQUH4WMnLZGA2m1O677ESvNES6g4zh/u+bsK7GxTJy9MnZ+OOWQWwGWNPQ4t3KPI2R2i6xRPtngO6kuLpAnWlUZW2VgpNmzBQkyQscMF+SqXx2+s7EGa6FrV9lSylYhlapOqdf7yAGi3saIwd7FjXqByjhWcGbcdehmxmMNjBMAwqKiqQl5eX9m0nI01Mfo49gYJnlOwlXqkXRCLlHyoYjN4HcRMaz7WWPnPH5+PxY0owJi+S98lQ5qeLF9bg2VVtcIWhBtkCgQC8Xq/KyyiBBnR16bAsi1AoFDNYGz1Ga/lKtL94NPSCRnrzNAUIqQOKPOy0kvQ0h1DwUMsr9fhCLC/udAX3eI7BtQfm4fIZXb7j21rDuGpRrWqbw3NdXuNvr3MhEBbV68EwDA4drsgDHjHKBhnAB5vcuGpRHVbXBVTur70GdB97wm9Fho6eFW13mha+sIS/Lm3Cm+sULnfKxGzcdXihKnWvBdnOJAOt5ZYeNjUFcMnCGtVC5dRJ2bh7dmGv5n9ZlhPmiulcO/A8r+6X4zg1iUJjBBX+UrKGPEm1BcH0/0kRoy9A+1hXq3Dy8Tr+4tFr+sU7PLhwQTVu+LQemzvl1zkGOLjCgv+eUoZHjynBxILI3wymZK/aMT4IE+OCIKQs+Z9BBv0Fk8mEUaNG9UnRWDLxT+oEjgcqTKK5nmJ+esVI2qI9SoRGd1RT0jo6AStJkhrHoEYcINJzlxLqNP/S2E+8kgrwqWDNbrdHWJ1RB3Q0vyS+rO2QBlL3XNYbr+kakpIkFaVGxyrJPocK72L5nAPApAIj7p1bDBPHYFWtH3/9RkmO63Fhnufx7tnDUKCxQ7r2kwZ8vtUdvdmY0OPlPM/j1dOG4ZwpXQXEnpCMk9+sxcKNHerviBtTEYMkSWo8JdruKRHO2JcqMP0JeuZJdTFVxIol9wQqTuhLpUYtqOAx0XNNZ8MW8Wcq7qGEuyRJ+KUxjD9/2YTbv2zEukZFZevosXa8eNpw/Gl2OUYV5ahFP9oioXSDimUsFgvC4TA21blw/9eNOOX1SvxtWTO2tYYgQ0mEl2cbUJbNQZKVtfeBFRY8eVwJDhurxCvijV2x1gUvrG7DttYQTByDVr9yfjfMzBuUloz9hUzHeCYxvkcjOzsbI0eOhMPhSKtcUaKy3VQpyDCMWgWnN4HHkuYhPx0iTlarVa1qogBc9ARIAzxhTIEVBw5TOrXfWNvSdWyMgMv2z8O/TyjHfmU2hCUZb6/vwMXv7kRJp8zeyuruA0CjR1ArEbX+QXQO0VWQJLcEAGYDizvmlMHAKh1Fn+3wq8nxWAReL2jE8zx4jsGNB+fj+E7p6edWteHln9tUv6Lo7o1U4ff7VQJO6CsSFu8ZHeU0YvYopQvoxdVtus8MxzK46sA8sAzwc50fR3R+/9lVrdjaEpsk7VdqwRPHlmJaiRlBUcaTP7TioWXNCEp79vDHsqwaHKHFQW/kUZPt6iPJHz3fm2gJ9X1Lzbjx0zqsqvXDyDG4+eB8/H5ablz/lp1tIexoC8PAAoeN6DqvZILP6XyWoyvDo8+ZEgbaxIosyziswoRhOTzcQQmv/tSojn3pBs/zqqSwthBJD1RgEw3qbNyTErk7Oj1/8629t5voK2TIZgZ7AhiGQUlJCcrKypCdnZ22ZKYkSQknkygxq7V+iT4OvcAIBaQARHRpa+dErYw6jX/RgU9S3KFulmAwiOIsHv+YV4yTJud2fa9z6pJk4IONHTjnf9vw4pp21Ld54p4fKXYQfyPZde2YS8kxQjgcRjgcVvkyJQ71oLUOivdZNEhRKB22D1o7Iu0xpAsMw+DY8Vl4YG4RskzKPvxhGQ8sbcJzq1oRFmXMHW1HoY1DW0DEp1u735NsE4cbZubjniMKUWjj0OARcMuiSjyyvAVhNjXeEAqF9viCSwpeUoEHddAT6j1Kl/2Kaj8MLHD9zDxcuJ8+l6OizWRARRWxOMiSHR7c/FkDwpISMLvuoDz8Yd9c3e8mimhbnJ6QTmsUg8EQsT3te0LFjbTOJlChj7Z4pSfOlyponKF9bG5SxhE9f3FRFBESJLywug2nv7FbUdTwKjzZxrM4fXI23j6zAn+eVYg8q/7cMlgS4yFRRr1HeSaG5QzOxMSexNMzGLrgeR4jR45Efn5+0lZe8ZBMDIxiZpTAjuYngH68gNb1xCVJTUbLLWndTypygDKua7dP63NJkiIS1sFgECaTCUajUVUaCoVCMBqNCIfDqvpcT+Mi8Uhtkp22QdByRprzqFiUOjZjxUz0GicS7XhOR7xDFEXsVWjCA0dVwMgxWFnjx4PLmuDxxd72iyeXY++irvN5/IdWPLWiOaH9xTuvc/bOxVtnlsJi6HqOn/+pHRe8Wx1xvbWd6dE8Khn0VyK3L2E2m9X5it6nVC1CY9n6xMNANHskc34cx6WtIY3W0ADUpDbHcVhZ48dNn9Xjts9rsa7BD54FTpiYg+dPLMOVB+TBaYJauEFFP6n6mvcEKpZpbPfgiWU1OPftKly1qA4rqv0Ide7OaVE4482HFaPNL6LGJcJsYHDNgU7ceXgRihy2hKwK9RLjy3f78GGniidZM/xubwcOGW7r9t2hBCrKHcrYszNDGcBqtaK8vBxjx45Ffn5+WgKZiS76adCnyklamJPPMZHIWASDZIOIOJFsjfalJKlJmkRDoZCaACSSd84+SsXQVzu8qGv3qQQ0HA5jWA6Pv80vxV2zC1FiN6DVJ2Bnu0Iylu5wqx0ygEIkH1zWhIsX1uC9DR3whSQ10GWz2dTKPy2p1xJDjuNQZpVwwTQlSPPcj83YWNehVg7qIToYo/XyZRkGl07Pxfn7OAAAb61z4YkfWiFK6Q0cUCVZLOmldKGn7f5ubweMHIN1jUH8WK0fTBvtNOLECUq15to6P2aUWSBIwN++aYI7GHswz7VwuP/IEly6fwE4Bvh2tw8Xv7MdGxP0lxyMIL9O7b9JHjXZ6uxEFjjRiEfkPtFIqM8dbcNNn9aj2iUg38rh7/OKMGtkz+Tjqx1KMnH/MiuyTZy6z4HqktCOi9rK7GhEv+scy+CCaQ4AwAebXGjypr+rjGUVv9tkgrvRizRaOAyWwGSiaBjkwUtAWQjuadc1g6ELUiQaM2YMsrLSI3GbaMJQ659IC3NBEFSlnJ68/FiWVYOLxEv1vgMoi3NZluH1elXOSlXspJxDPDcny4YrDsjHrYfmw8qzEGXAxDFqgjwsAe+u78BF79fgjfUeeEOxeTQVk5LEO8dxEeMxdRcByrhMnJjkyqnyXy/ArFdsSVX//QmSgKRj7It5e0qRGU+fOBwjNR7AH2xy45bP6tHiE9Su8XfWuxAU9M9/v1ILnjquFCdMyAID4KsdHlzw5nZ8uzuxTg9SaKE1yp4exCRlBQJ10FssFqxvCuOGT+pR2R5GrpnDg0cWY45GzScaqawlGIaJ+az+d00b/rm8BTIAngX+Pr8Ic0fH3n+iSLaYIV3B1Wjp9njJ7YFQ79ErktzcWYQ8LqpjvNkr4M7PqnD6m1V4b4MLfkF5d4qzeNw4Mw/vnTcKv5+W26N/eH+PU7FQ4wpDkgG7kYXDPDhDZZmCywz2FHAch+LiYowaNQoVFRVp6SAnSfKeoPXSpkR3IBCAJEkR83e8hD0VI2nVZLRjFVmXcRynJp3J4oc4HNndkVoQ0LXuprU3HQMVUJJtHKlEAgo//HSrGw8ta1I5Cqn+2O122Gw2sCwbsb1oH3T6nOZ3r9cbV7Zb7zr391gtyzIm5DJ4YL6SHP+h2o+HljVCiBMTfeDIEpw0oYsjfLLNi1s+q4u7H71O+2hYeR5vnzUMR4/pimU1+0Wc/GYtvq3sXoiZDC/UxtC1qgF7MqKfHyrCTbaZh+O4lNQW+1IKPBaSSTCms6CW1rWA8s58t8uNqz+swj1LGrG5OQQjx+DECVl4+YxRuHQ/Bwr6WTbcZDJhwS+NuPyDGpz1VhXe3+RGR6f6k9nA4JBhVjx7Qgn+fXwZmrwi/v5NPbxhGePzjXj82BIcNykvYkzvCdHjeoNHwGOdvuI8q3SgHzHKhjP26hsruT0NQ73gcnCy/QxSQnFxMcrLy3u9nd5OINRpQHIyJEdEwUAKNFJnOEkcmc1m1b+XQARSW7XEMAwEQVAliUbnMJhSbEFYkrFwk1v1Q6SKzVAohINHZOPfx5fikhn5qvfM1pYg7vliN5q9SidOq19Es09Ei0/EC6vbccGCGry0pg0NHX54vV6VhMfyHSJ/yjOnFWL/ChtCooyHv2uFzBpiBju0xBXoXrHKMIok5NUHKLKRn2/z4G/LmmIG+VIFyQhqJ9T+RoHNgBMmKEH4F9e0xSwAOHfvHBTaODT5JBTaDCjJ4tHoFfHP71rAd1bcakFy47Ik4YRxVvx9fjGK7QY0ekX86fN6vLWuo9fFBrSA0f6XThUHAiUGiGTqLeTIZyWZisxUgrmxSEmDR8CLnRLqexeb8OQPrfCGlc7xR48uwRgdCcZu25ZkLNmpLC7mjOpaePT2mnIcl1IXOUmoaxHrmuktqGaUWbBXoQlhCXjtl/ak998T4vnnxkJ0JTmRoUTf/8ESwHR3EuoJg1j+iDq/MshgT4LBYMDw4cPhdDoH+lBUpRytrDXLsqo8HsMwqjQkdeVQUSUpEWkRrdzBMIyqoOP1etUqe/oOcdgjxubisWOKMSbPhKAoQ5SBiuyuwEJAkPHqmhZc9H4N3tngRkCI7AYlGUFK+AuCEBGM5DguYt4OBoMRssna89Ubq/UscgYiKETHQv6RfRXcK7Qb8I+jinHo8K4A29bWEK5eVAsrz6Cos2v8E52ucYKFZ3HpdCf+Mb8Yw3J4dAQlPPhNI+77ugnNXkE3iE+db6TQ0hedFRSw1/7XF4WrtB+gK8AfjXfXNuK2z2vhCkoY4zTi0aOLMaEg9pxrMpnSNudJkoR7lzTi7fWKdHu2icXzJ5Z1k+HuzfaTQfQ9IH/yZKH3G733hAof+xvR+2z2CWjxiWAZpUgZANY3BHDtolpcsKAGK6r96Gy+waRCM546oRz/d2IpZo+yJ7TGYBhm0BSWaGXU+9q3PVVkEuMZ7Ikgtct0JIMSWc/He3+183e0ag9tm/ywDQaDWsSoZxdDzQla2xZA4V/EKymWIAiCyuNo/qDvAcqc7PV6Val26ni3WCxo8Ap4dmUrllX68NEWt1qAGAgE4PF41MJKrY+51r+crNyIU1ITU7xGJq1vOW1joHjlRCeDe+aWgucYfF/lx9+/bY6bHL94eh5unNm1htnQFMLv362K+f1kxvsrD8zHS6eUgtdQggeXteCKD2q6fVfbJKUn7U/qVdoYOsnwpwtUYKz9rzdKk7FgMBhgtVrVc4xWvQGUWFOyzTxUXJIsUu1OTxW9tSQl29ZU+H4wGIQky1i+24drPq7DfV83YmuLIhl+ysRs/OekMlwy3Ymi7P6Nma1vCOD2Lxtw1Atb8NSPbahyKVyXZYAJ+UbcfXgB3jlrGG49rACtfglXL6rF17u8YBngvH2c+Pu8YowuzEYoFEI4HE64EVT7PcVXvAnekASeVQraJxeacPUBeYOW5/U3hjqvzCTGf2NIRxUmSfCkE5Sko+ARBQdp8KdkXnQlmLaTGegiLAaDQa34ZFkWp+3lAAB8utUNT1BUE+6yLKsTs91qxonjbXjuxFKYOiVwvtnlw6ULa/DyqgbkZ1nw0mnDccMhhRiWY4QvLOGNta248P0aPL6iBbvbAqpnB3WtawkwBYGCgQCu3j9X8bVuC+KZFY2614RhGLWqk84pVqXO/LFZ+PNhBeBZYEWVH3d/1QhPnI6kVDAYkjenT85BtolFtUvAZ9v0A5lmA4vL91dUAj7Z6sZ5e+fA2Ok79Orqpm7kPdqLbXy+CY8fU4JZI6yQZODln9tx51eNaPGlHrglj6Ro+Zl0BjF5nlfJciKy6VqPp3iwWq0pBa2pi08LrYR6jonFjzUBSDIwb4wdD8wtQq4lMXK6pi6A9oCEbBOLfUuVhR1VTicDWmhQ0YooimqwPpYfbTRIgSJR6JF2hmFUJYmvdnixq7333XPU2ZiqX3k4HFYXLtpxJ9FnYaAWxVq0BwQ1ELtfWfo97NKJoU42M9hzkQ5emWjHcDJzJlWNU/CI+BT5J1JRJRVoEqI7Z4xGo6oOpCr2dBZB0jwRDodVWbqRBVn413HlOK7T6qbKJWCEg8ewnK55whOS8NLqVlz8fi0+3OIFx3fNQXpyixTEjFYkIjl3kk2m6xhrzCd7E4K243wgQJ3/feExSjAbWNxySD4umOYAXT2/APz92xYUdVonvbO+I6JIQQ8TCkx47JgSnDM1BwYW+LHGjys+qsOCX5sgaeZ1KiTryyJS6vCK5pXpvo50LmRfEC11K0gynvqhBf/+sRWiDMwaYcWjx1WgOCf+caR6baKTsSFBwpWL6vBjjfJMV+QY8NLJZchPU5dLtEVOIqBCWFonk9WBns9svP0mOib2Z8COzsFoNHbjeFtblOMtz+Lw9U4Pfv9uNf70RQO2tynjmYEFZo+04b3zx+If84sxPFvh+4kmwPpyjEgWVZ2J8YpB6C9OIKnlDDLY0xCtkpMqEuGLycQ3aL1PHt7asZf4JnWNR0MbD2FZFmazWbW5o/eUlP5MJpNa3Ej8UhvT0b7XxA8BhfeNKszBJTPyAQAvrG7H1iZft2tJiX5ZlmGz2eD3+yPUMYnr0n+kjhTrWlmt1oj5YKAV0KYUGHDn4YUwsIos8sPfNsdtcJk9KgtPHlus/rvFL+GU1yt1C7GSnW/zrTwWnDMcB5R3zV+7XQKOf7US6xoiY7o0F2r93enf0bGYvgCtD7T/kTpBOkH2UNRwpWddQKD4f08xTaPRmPL1SZctWKL7SjYRTzFdUoagMUOSpIQbrViWhdlixdc7XLh6UR3++k0TdraFYTEwOG1yNl44uQwX7pebcBw2HWj2CvjX9804880q/OmLBqytD6gxu2K7ARfu68B7Z1fg4aNKMKPcirAo46U1bbjtiwY0eUWU2A14aF4xLpheAJs1MgacCi/+789t2NISAssoSfFiuwG3HVYAnsskxQlDPVaZSYz/xmAwGDB+/HgUFBT0qkIqkUkkmQp2qgqjY6LuH5qUyeNGb+LTEjWSydR+RxRFHDjMjuEOHr6wjHfWNqqdPtSVLssygsEgbDYb8m08Zo1QulBzLRwCgoz/rmnDhe/uwopKN2YPN+PJ44px56wC7FWkSHV/vs2DS9+vxgNLG7Gh0a8m3bVE02Qyqb7kpU47bj28FADw4aYOrKjqPplHV2f2VIxwUIUV984pgpVX5MZv/bwerb1I5g5G2IwszpqiyF/+75d2+ML6z9iMMgsOHa4ktt/f4MJVBxUCAF5b244fd7vUDqtgMKh7Xa1GFjcdnI/rDsqDiWPwS30AVy+qw8rq5ElXLH9CqghOB6hbTSuPk0hglood9Agn+ZT2hohHX1uSUGcAdAQlsAxw2Qwnrj7AmRTxWLxDKYqYNcIGnmMifC8TBRFzrXIFQRAE1bqBgpx652axWNTERU/BPdpOrI6XCQUmzBymPLP/XdOe8HlEn5PNZoPRaIQoir2uKNZWtxMS6dgZSGUJLX6q7ezmBFAxiKXUAaCpqWnAC48yyCAVOJ1OjBo1Cg6HI+UkjV4hlR6S2T4lo7T/1vrtUuFP9Bytnbe0CXUtHwsEAqovHhXXkRoRABg5FpfNcOK6gwtgMTDY1R5Gm1/EyZMdyDF1nUN7QMSzPzbjd29ux0cb2yBIsnos2jGUFJC0MuqkjETFqlQIFesa8TyPcDgcsd3BUMDUl6BzZRgGp03Owd2zC2Hlu67PLw1BGFigPSDhky3x/d8BgOcYnDPVgceOKcGkQgt8YQlP/dCK279sQoO/S52lryyHCLHelXQGMaPXW8R1CB0BEXd82YBPtnrAAPj9Pg7cdHA+GEmIWUBtNBrB83zKCTtSOwKUoNoFC2pQ1aG8L/uXWfDUsSU9ynEnAvJWTbaoUFtIEH2OVMBC39NTAKPAp9/vT2g81HZd9RVIhYLskWJJum9oVK5VtVvEUz+2ocWvcOosI4tzp+bgnbMqcOPB+TBKkZY8iQalB1PHjrZjfDCjpqZm0Kg3ZZBBMhg2bBjKy8t119+JIpGiv2TWqqQMSbySYofajnKKV0avlbXjF72T1MBDoKYJ2ibZskWr6oRkLkI6XTvn+3w+HD3GihllFoRFGf/4tllXRZKOh1Q7tU04dJ4UKzMajTHXp9FxIj0FvYHA9DIrbj+sAAZWsUf853fxk+Mjck1468xS1f4oJAKnvFmLZl/s+5gM7jy8CE8eWwy28+cygFu/aMKfNNLtPp9PjU1S1z7FU/ojeRsrviMIQto4bXQRBdml9jRPEbfVu/7aRrRUEAgE+pyzAwqXIgXWZMCyrMoro39L4wQVrkbzRo7jYDJbsGSHG394axseWtaMyvYwrDyDM/fKwX9OLsMF03KRY+6ypOxLFa+QIOHNX9tx0fs1uGBBDb7c7oW3M5ZvN7KYP8aOl08pw/+dVIZTJuXA0HlfqjrCuOnTeryz3gUZwLzRdjx2bAkmFpjUZ0iLRMd1ehZ/qPbh/Y2Kr7gkAzaewd2zC9XrkoECv9+PlpaWgT6MAUMmMf4bBM/zKCoqwsiRI1PeRiIDTrKJkehAACWeAGXgoupnkkGnQKAoihEV+noSNLzBgNMmKf4QH2x2wx8SVP9yIs4kTWQymbBviUIys0wsbpyZB6eFQ4NHwF+/acLtixtR1SHg8HF5ePS4Cvx9XhEOKLdABvB9lR83fFyLaxbuxPJdLqBTBonkbwCoskb7lVlx8kTlmB77vgXNmiR2dJdCvG5xLaYUmfHgkcVKN3p7GDd/3oBad3ql5wZ6kX302CyUZBnQHpDw3gZXzO9dOt0JG89ga2sI7kAIR462QZKBh5Y2oLrVoyaOQ6GQbrUdwzCYO9qOx44pwahcHq6ghHu+bsLzq1oRFhN/tuMFrdIVxIzVXZIo0fP5fBGLTyKfva1O9fv96nvaEgD+85MioS5DCZbdN6cQx43PSmqh4QlJaiHJnFE2XZ/DREAEtSeQUgUFdOmaUrchy7KqLQNJ90bLmrIsq3bGxXt/fr+PAywDrKzx49eGxJOkVMQQXX2ebiSqFNIfC4xEsL7zGmoTIYMVoihi586dmeR4BnskrFYrysvLUVBQkPI2eit7GQ0qENMWfmmr66nwJxwOR/BK4pAkI0j+j9GBqWi7CaBLuYWOc8kOD2xGFrkWDu6QjAXr23Hk2BycNDEL2lqwZp+IJ39oxeUf1uGrHR6IUpeNDsnuiaIIURRV7z3tfETHxrKsbjKPijW1889Ad4tr0VdzRvQcP73MgkePLkG5Rt6eYsav/9reY9c4YbjDiL/NLcCl03NhNjD4tcGPyxZU4uVVDfD6AxH3pi8QL2iVqLdqPMST5xZFEbvaQrjhkzqsawzCYmBwx+EFOH2vnIhge7RsP/ml9lYOOxAIYHu7hEs/UKTbAeC0ydm4a3ZhWq45yeImG9xPVB6TxqVQKASbzaaue8lCgfxgBUFQrZFofRs9lkVbPqQTJpMJZrNZ5ZOxxop6dxh3f9WABRuVwhLKPZRmGfDnQ/Px+hkVOHuqQw1wRiPRMX2g155a7Akd44DS3bN79+5Bde0yyCARsCwLh8OB0aNHp9w9HgwGExpfkkk6hkKhCNlrINLGjeKVVCBHTT0Ua9LyymjOazQa1bmd+Ci9uzQO17hFnPjfLbjp4yqsrgtClORu8w7DMLjuoDzkmjns7gjjuR+bu50HqeyRghIANY5AipWkYsQwjO4Ykmr8pT8gSRIOHK6oaRpY4JtKHx5ZHj85buV5LDx3OGydMQMZwAXv1WJNTXrOcUSuCR+cOxyTCrru+/qmEE58rVKdU7TXU+t3H72WSTeoIEIP6WrkifayJ2jVUeOBfO7p3eN5Xt1mb5ox6Jmn2F1fgBpjkl1zJar6SIWroiiq8UdRkvH51g5c8OY2/OPbZlR1hGEzsjh/Wh5eOnUY/jizFHl2c8T4ZTQadQs7e4vlu724/pM6nPpmFV5Z24EGT+c4xwLTSsx4eH4R3jijAlcfmAentWs8lmUZH21249qP67C9LYRsE4vbDivANQflwcrH5vuJJPZpXGv0Cnh0eVeyl2WAPx9WMOj53UChrq5uyCbHGXkwtH31E1wuF3JyctDR0YHs7OyBPpw+RygUQlVVVUoyu0SWsrOzYTab4Xa7u21Hr2KyJ1BQUltNSfvSg91uh8/n0yVs2ipGlmUREkRcurAGjV4RV+zvxHETcsBxnEoAKbjAcRx8IoPTX9uudG+eWgGrQZFafG+DC2FJGTSPHpuFC/bLh9OudBXUuEW8v8mNL7Z2qIG2EblGnLl3Po4YnQ0DC7VjnOQyg2ERN31aj+1tIUwtMuG+OUXIzrKrE7y2uyAZ8lnvDuPOxY2o8whwmFn8ZXZhQt7NiSKWf2VvkMw5flvpxYPLmmHiGDx3YinyrPqLmk+2uPHUj60wGxj865gSPLRMkY6ZVGDCX48sgoHtkt6PG2gUZby4pg0fbFKqyUbnGnHLofkoy+550jSbzXEDV/S8pxq4iHfdkpUXp+B/uqVSZFnGlYvqsbtTInxYjgF3HV6I4qzkScenW9148odWDMvh8eIZo1Mav1KpaCY1iuixiMi03j2ghDmQuFTwv39swcdbPBifb8TD84vjLuqpolvbLU/f74upO9HnabBUjF//SR22toQwPIfHU8eXDvThJASDwYCRI0emRUZwoDHUOFU0huL5d3R0oK6uLqVqc5rLioqKEA6H4Xa7u3HIVFRMSHJckiTVfifenBxrnKPCJ1Ib0hvjqPDRaDTCExRwxmtb4Q93H4vH5Rlx0b4OvLPBjZWdMtAMlEAcoCRczp2ag8PHOGAyGuH1etVz18oOyrLSYU7+5MFgsBuX0HoTUvINQFxu3d/oiSeliljn6AtJePi7ZlWCmzAh34i/HlkMYxIKNo0eAU/+0ILVdcrxj8zlce2BeZhakdsnQeNEPKVTsZYhxOM0APBTfRh/+7oOAUFGsd2AOw8vwHBH7KIWsuNJV6Bt8Q4P/rW8BTKUd+aGmXmYPcqelm0Dqa1dgdTHpuj7RO9CrHfCZDJBEISYQebegmR8tfvWO87VtX7856c2VHZEXqsxTiOun5kX95nQItF3v7cKVulCWJRx2hu7IcpIq2x/X8Jut2PYsGGDpmg1VQxFThWNoXgNampq0N7entK6lsbL4uJiuFwu1WdbC0pcJwqaI8nykZKWscYnUqfUm1dMJpNqxRNrG5QINJlMuHrB9ojC+QIbh3mj7ThhSgFsTOT2f64P4I4vGwAA980rx7RCJQFOiTNqBqLCUK0qERXZU9IymnOQBR3QZRfSVzwuVdC8taLKh7990wRRVuw8rjsoDxwbn+Nd8UENdru61jEX7J2D06Y40hbf+KXOh9sXN0H7JM4st+C2wwvj/i7ZZzVRJDK/9ub+8jyv2k1FI9mYMjWDeL3etMe66HlP53Z788ykwkd5kxmL1jfjrXUdqO9MQGeZWJw0MRvHjcuCzdidB9C9Tee6sLI9hFfXtuOn2gBCUQ1lw3N4nLF3Hg4tj11E3OYX8a/vm1X1x31LzLjuoMjEuR6Sep5YDjd9XINNzV3356oDnDhqbFZivx/CKC0thdPpHOjD6DWS4VSZxPgQgM/nUwcRnudRW1sLt9ut+10KyND3y8rKkJureONSINPlcqmJtXQ8PvEm654G8OjffrjZhWdXtqHYbsCzJ5SCY5mYAaSbPqvHpqYgbp5VglkVygK/Jcjg+R+b8G2lcn52I4s/TC/A3BEmcKwSDK1t9+GjLR58stmtyoPk2ww4bYoT88fYwUM5XtpvdUcY135ch6Ao4+IZBThpvDXi7xzHqWQ1GbT5Rfzlq0ZsbwvBwjO4Y1YB9i7um0q4dCCZoIcsy7j5swZsag5i3mg7rjkoT/d7kizj1s8bsKEpiP3LLLhoPweu/6QevrCMEydk4ZLpyoCe6CT6Y7UP//q+Ba6gBLOBweUznDhilC1m8jLR7aYSxCQ5r3id3akmSamykeSTaMGUSrJDlGTcubgBvzQopGPfUivunVcOq5FLKch1y2f12NAUxMXT83DShNSCoakuLEiynipnJUlCKBRSJXXjgTqAeroXbX4RlyysQUCQceuh+ThkuE33e1TUo3dP+iqAmMx2yYst1eB8OnDu21XoCEo4bLgVtxyaeidrfyMnJwcVFRUDfRi9xlDlVIShev7UEUnFRCzLYtu2bbrJPC2Ho/Fl4sSJ4DgOsiwjEAjA7XarxZfpGttiJRcTCWBQR0G8sY2OMyBI+LHaj6W7vPip1g9tQzLHAMeMy8LUMjv+u6oZ1S4l+MEyXV2Xo3ONuOiAQkzJY9VuIpJsp6AkdZPT/KQ9L6ZTtSgUCqld4+SNPhiSTITeJHLjIV4SWZJlvLa2A2+u64j4fITDgD8fVphQ4SNBlmUs2enF86va4A4pNjGnTXHijEk2mNMg7a1FotcqlSCm2WxWbQ2i3wNZlvHmug68ula5XlOLTLj1sAJkm3qWGowu4iOfRUoIJIoXV7fh3U6lKJ4F/javGFNK7Gp3G9kDpYpU34tUk+lA1/2kAh4AqoVYT2NRut/jeM8W3a8PNnnwzoYOtAe67puBVZQXeAZ45+xhPSYdtEjm2pEv70B6Z+9uD+GKj+pg4Rm8dUbFoJJ4j4dhw4bt8TxkqHIqLYbqNRAEQZ0veJ6H1+tFTU2N7ne1vNJsNoPneQwfPhyAsm73er1wuVxwu91qN2xvE7rxttHTOE2+wWSjEQsMw8ATFHHXVw3Y3Bw5BrIMsH+5FfPH2LFviRl2mxUMw+DJZTV4b6MLWSYWTxxbgvzOpBKNuzabTS28pES/toBSb04gLkoex/T3wZoYBxSv8QeXNUGSgbmjbLjmoDywPYzdf/26Ecuru879kAoL/jJ/WFrP8bKFNah2d8VxeBZ46aRS5Fj1+WdfXeNEeGWq8WhSC4oXQ0xlDaAt4qPiDoZhes0POI4Dx3GqEmRPx94TUo05JsvvwqKMxTs8eHtdBxq8yviXY+ZwxlQnjp/ggAFCj3ybbIRSfcY8IQlv/NKOJbu86AhE7ivXwuKIkXacuVcOrEY27rO8osqHx1co8XYjx+AP0xwJK4wmc71fXNOGd9d3qc+eNDELF++35yd7+wMMw2DixIlDquAykxgfgpBlGdu3b+82WGVnZ6OiokL1PvF6vSgoKNDtbBNFER6PB21tbfB4evbti4WeJoVEJtL8/Hw0NysyQgFBwoULauAKSrj5kHzMGmGLuY23Nnjx8upmHDrcij8dWqAGeTmOw0/VHjy/qhU7WpWgxYhcEy6d4cT+w5TnhuM4NHd48cVOP975pQWtnV5rNp7B0eOycPrUfOTbjep+P9/mweMrWsAywD/mF2OfCof6t94EPnwhCfcvbVR9FG86OHaiLRn0RVA12W1ubArg5s8awDLA48eWYESM7oTd7SFc83EdBAn482H5YBkGDyxtAoCIxCPP86pMaTw0+wT887tm/NqZ6D18hA1X7O+ENU4FXk+gimaS1QqFQnELPkg6PZEAdzoDzskGpdxBEfcuacTGzgXcviVm/OWIQnUxQjJjiVZS1rrDuHRhLVgG+O8p5ci3G5OubOzt9TAajd18Wo1GIziOS9t1fm1tO17/tQOlWQb8+/hSVdmAoE126KGvkh6pLMj0uo/6Cye8VglJBi6dnosTJuw5c7q24GxPxlDnVEP9/LUIhULYsmVLt88rKiqQlZWleoQFAgGUluqrO4TDYXg8HjQ1NaUc+Ehk0d/THMHzPLKystDa2hp3P9HLJ58AfF8dwCdbOrCpsWv/DBQpuVwrj+8rPfAJyu84BqAi+0mFZvx+3zzsU6JIKuuputjtdoRCoYhrQ8k1kgrVynT2lYdcKuhtMCYWEkkuflvpxSPfNSOkoX4WA4OrDsjDrJHJ8eX2gIjnVrbim0pl/i3N5nHV/k5MLU6P7zeQOIch30Xq1CG/0njfJ94QnawMCBIe+74FyzrP6/jx2bhoP0c3bpIsqPOuJ49JSZJw39ImrKxRno9sE4vHjynR7dbtTZI61aBzb4LVpDAR/ZySX328c0knvzeZTAiFQrrPiC8k4aW1Lny5rQMhDeXOMbE4eVI2cowMHvuhDZMKTPj7/OKE95mq+pi2eLe/QYpl4/ON+OdRJf2+/1TAMAwmTJiQkG/9YEaGU2WugRZNTU1oaGiI+IxlWUyYMEGVnyYrNL01FRVfulwutLS0pKzcZzQaVasbPcRSnNMiOzsbgiDEXLtr55iwKOPxFS1YslPhgYU2Axq9XWNhgc2AYyc4cPhwE4oddly9cBe2tgQxrdSKv80vg8nIq40PVJRFHCEaNpstQqpaGyvTzj+DRSlOi2gu8G2lF3//thmSDBw52oarD+w5Of7Wr+14eW1X8eTIXB5PHJteBbpvdnjw9+WR0sTHjrXh8gPyu32X4zhV7jpdSKaJhmyCqPgk3j2n75L1QH9xGZ7nwfN8WuNgvYmrpfLbZIoQQqKML7Z58M76DjT5lDHGYeZw+l4OzB9jVYtzE312kuWzkiThs+1efLDJhaqOSE5mNjDYr9SM3+3tQHlOZJxer7nRH5bw/E9t+HybkjsalcvjxoPzE1YgAhJ/llbW+HHPkkb13zOH23HrIXno5bJmyCArK0stONuTkUmMx0CGbHbB5/Nh9+7dEYvOVKuNfT4fKisrk05gRU8keXl5sNlsanCUutrjVQY5nU6Ulpaio6MDVVVVAIDXf2nHa790YGQuj8ePKVEnHwIt1Dc0BnDL5w3IMrJ49bRytQKeyJ8oyfhypx8v/dQCd2dE7cByCy7aLxeji3IAKJOF2+vHkp0evLfBhepOWR6eZXDk2GycON6GsmweZrMZ93xRhWWVPpRk8Xjs6GK4QxK+3OHFOVNz0JsxOiTKePjbZiyv8oEBcPn+ThwzrncSIYlIOaaCZANaf13ahOVVPkwvteAvR8SWH3rl53a8ua4DTguHp48vxZvrFFl8C8/gX0eXqJ1BiZIXUZLxznoXXvulHZIMlNgNuPmQfIzLjywSSXShoDeJE7EDECFtFe0h2tMxG41GlZimYzgnQtzTfapsD+G+JY2o76xaLM9WkrzRi5BkCNira9vxxq8d2K/UjHuOKEqabCayOE0VPd3rZCoYfWEJly6sQXtAwuUznDh2fOT72tM166vuu94kU8xmM2S5uxdaX6HVJ+D895RugmdPKEFZduKkeqAxYcKEpDzvBiuGOqca6uevhSzLaGlpQX19vfoZBTCTrTbW21YiIPUT7Tg8bNgwyLKMcDiM1tZWhEKhHnnIiBEjYLPZUFtbi7a2tm5/1xuftQEAi8WC7Q0uPLK8GZuiun5MHAOnlUNdZwcJKXpTgnxaqRXnT8vF2FxlfNCOyeQ/SHMiHUd00nmwdYsT+uK4Ep13d7aFcPsX9XCFIjnSUWPsuGR6LkxJdn3/WO3DUz+2oqUzSDVvjB0X7psLu04BZTJIZg7Wew618qfEKRmG6ZZk1D6vTV4B93/dhO1tIXCMsoY4Ze+itMqjx+M0AUHC9R/Xoapz/TQ8h8ejRxfDGOOe9NbqKdmgYH/bAGiRrncmVmFwdUcIz6xsw9r6QITka0WOARdOy8WMcmXMefrHFiza4sHJE7Nx0X6JF/X1VhbWarWqihn9BYohzB1tw3UHdU9cDEbY7XaMGDFioA+j18hwqsw10EIURVRVVUU04KSquCUIAqqrq5Nu5tFKodO/S0pKEA6HEQqF0NSkNGLEG6t5nseYMWMgSRJ27typOyZG/16WZbz6iwtv/toOADh4uB1OM7Bkpw+ezpgkywAzyiw4cFgWnvmhCUFRxgXTHPjd9GL4/X4YDAZ1rRkIBPDBJhfe2+DCvDHZOGeq8mxpiyq1ctjRNoCDrVucEB2b+WaXFw9/pyTH54+x48oDnD0mx9fU+HDnkib131lGFq+fkV5Vt3A4jEs+qEezv2sOtvIMXjqlBFY+snu8N8V/eugNj9CqVwJQnweKVRIXS1QBJ53zeTrXFL3ZViqd9onE8YKChM+2efDOepfagOe0cDh1cjbmj7FHqFURL07kPBJ9vtY3BPC/X9uxriEIrVI6ywBj84w4b79CTCuIXYwXfY6bm4N4+Ltm1LkFMABOmZSN8/Z2gE/C2gpI7F41ewVcvahOzd+MyuXx0Lxi2M1dvvUZxEdGSv03jgzZjEQoFMLu3bsRCARSDmACQGtrK2pra5P6DQ1q1FHK8zxKSkrU7nQKjHq93oiKeu1AbrVaMWLECPWYXS4Xqqqq4AoI+MMCRar4r/PLMLWgKwERUfXJsDjjjUr4whIeOaoYe1c4AECVrKQOUW9YxitrWrFoixuSrEjKnTwpB2dNzYUzq8vXMSwIWFkTwOs/N2NDZ7cQA+CQEVk4aYKSIL9mUS0avSJmj7JjTa0f7QERfzo0H4f2sstblGQ8vbIVn25VCP+5U3Nw1pScXknAmc3mtCVbCTzPqx6eiRCjGlcYV3xYC1EGHphbGFMqPiTKuOqjWtS6BRw7zo5Lpztx+5cNWNcYxHAHj38eVQyzgdWVIo2HjU0B/P3bZjR5RXAM8PtpDpw0MRtsZyA60SRgbwhXoknQniqa07nPH6p8ePi7Zvg7O994Fnjq+FKU6niKJ7qYkmQZl7xfgwaviJsPzlc7uaIJXLxgYjpJcjzPsHTs+6PNbjyzshUOM4vnTyyDhWcT3k5feMf2NthMSKQLKh34Ypsbj61oBQPgw/P2nIrGgoICFBUVDfRhpAVDnVMN9fPXg9vtRlVVFSRJgsPhQHl5edLbkGUZu3bt0u2ajgWSxQuHwzAYDOB5HhaLJaI7PRQKoa2tDYFAQOU20Z54xcXFyM/PV4+jrq6uW+d49Bgd3Ymr7WT4vjaMh5fWIihGSqgDkR3jZgODkCirfz9wmB1/mF6AcpscYe1Bx0VSo9HHRXx+MHWLa9EXyXGSvg8EAnHnsFafgIsX1nbzwhvh4HHroQUoz0lcWh3o7LL9uQ0fb1F4t9PC4bIZTswcZk3yDLqQrJ1Jb+fZjU0BPLC0Ce0BCdkmFrcdVoC9irq639N5v/R4ZZNHwDUf10UUH992WH7ctWhvC3ejuXtPQc10BqmtVmtEMDnZY00FesWuP1b78MLqNrWYG1DWq/uUmHHZjNxuhYbXf1yHra2hpNer6SripLGtLwq2o/HQsiYsq/Thwn0dOGVSTp/vr7dgGAajRo1Sx8E9GRlOlbkG0YjmYak28QSDQWzfvj2pMYTiYEAXt8vNzYXD4VC/43a70dHRAUmS1LFOa6vGcRxGjBihvp/hcBi7du3qNq5r5zWtysin2zz49w8tkGRFle/mQwvwS5OARZs68Etd19ycZWThDkngGOCxE4ZhRJZiC0fFoCzL4sr3d2FTUwA5ZhZvnzMaBoMBgUBAXbeLotitgI4UDwfS3iIeOI6DwWCIuJ5Ld3rxz+VKcvzosXZcsb+zx3hoozuMixbWqgViHAO8e94IGNKcJlmwvgP/WdMe8dn5e+fgjCmOiM/SNXeS3VUiMaPeFLIlc7zpLLJIVyNXb7lu9O/jFbn2xOsCgoRPtnjwrsbSJt/K4bTJOZg3xg6jJpFMhQuJXvue4octPgGvrG3H97t98IYjn/0iuwFHj7XjhPFZyLZbe7yHdE1EScZb6zrw+q8dkGSgwMrh+pn5KStt9fT8iJKMP3+h2KwCQK6ZxaNHRypQDQY7yMEMi8WCkSNH7vEy6kAmMR4TGbLZHZTUTjWA6ff7sWPHDt1Ffiz5uKysLBiNRuTk5ER4riWCjo4O1NTUIC8vD4WFhd1+63a7sXv3bjy/qgXvb3Rj7xIrHjluGCRJAsuy3QJnf1vWgu8qPThv7xycNcWhdltofeyIGFe5RDzzQxN+rlc+z7MacMkBhZg7Jhscy6pdSQaDAb/WefG/Nc34saZrwJ1SZMb0UjNeWtMOGcDMYTYs3+3FsBweTxxbkpRnmx5kWcb/flEmHgA4dlwWLp2e26vtpluOk3xdQqGQeq21wQ7yd2YYRg0ePbOyFR9tdmN0rhGPHlMcs/Jzbb0ft3/ZCAbA3+cXo8jG4ZqP69AekDB7pA03zMwDwzBJkx9PUMTjP7Ri+W7lN/uWmHH9zHwUO6wJB6xSJbjJeohru9B765mjR55kWcZb61x4da3yDFOg/5LpuTgxhpR1okHFXxsC+PMXDbDyDF45tVzt4CIJMHpWYhHAdAcvkyXIyS4oBEnG5R/Wos4t4Lx9cvGHGUqytKfnJN2VxIR0y6T1dXX5v75vxpfbvbAbWbyR5sruvkJOTg7Ky8v3GM/KnjDUOdVQP/9Y2LlzJ7xeL4YPH46srOTVaxoaGtQunGhofbQJPK+o8tjtdmRnZ6tzYCKQJAn19fVwuVwoLy+H3W6P+Ltectxms6ndl3oWG9r5w2w2o7ojhPu+qsX2FmV8HZdnRJNPRJu/e3Ai28TCHZTU4NxhI+04bx8nxhQoakrhcFiVpiZP51j7HozobQepHmjuIv5I8qkEg8EAk8kEURTx4bomPLai617yLBCWlMKEKw9wYvZIu94u4mJdYwBPrGhFTaeH/MxhVlw+w4lcS3Kyxv0lf0989IvtHjz1QwsESSkOuPPwQhTZuyuZmM1mNTjSm2crmmNsaAzg9i8bEO6MaZ4xORvnT+u5GzkdzxCpL9BaLxZfSdf7RJ17yXCi3p6n0WhUn6lQKARJkvDOehfe3+SGK9gVSDZyDI4al4PzpmTpWkaFRBlnvLkbggT856Qy3WckFtI5HpFPb1+/I1d9VItd7WHcPbsQM8oGf7K5oqICOTmDP4GfCDKcKnMN9CAIAjZt2pRyE48kSdixY0fM8Vdv/LdareB5HtnZ2cjKykpqn9R4xHEcysvLu3FSQRCwc+dOdT40mUwRCb7oovwfq3146NtmBAUZo3ONePDYYcg1c6jqCGPhuiYs3u5Vi8sAwGRgcN2BTsydUACW6Uoerqrx4U8f7wYAPHXiMEwssqkxOLvdDp/PB7PZ3G3MHowy6lrozTNLdnjwyPIWyACOHWfHZTN6To6Hw2Gc8XatykkA4PmTyzG6IEvl3wSz2QyO4xAMBpOek8LhMH73Xh08msSjw8zgxRNL1GclXTGUZObg3iTjk/1tNAdLFeniGL3dDimWGQwGVaEpVuw21vvkD0tYtMWNBRtc6OjkaAU2DmdMzsHc0fZundVmsxnhcDipRhm98wwJEt7f6MKn2zxo9EZuy25kMbPCgvP2diDfblTVAxIp8DQajahsURQcNneqp80aYcXl++f1Sl2rp7XSKz+34c11iq+4kVVyAmPyutsCA4N/zTwQMBgMGD16dFKxlMGMTGI8BjJkszs8Hg9qampQWlqaUgBz165d3WSJqKLS6XQiGAyisrISFosFJSWKV5dWkiUViKIY10fL7XZj9cYduOj9GgiSjIfnF2Pv8mzdSejTbV48uaIZkwtNePLk0ZBlWR0gtR24VqsVgiAgGAzix2o//u+nNtR5lEF5XJ4RVxxYgDG5hojJzmazYWdrAK+vbsSSnR4InUQrx8SiIyjBxAEsw8AvyLjlkHwcNqL33uCA0on67MpWyAAOHW7FDTPzk5YpISTamar9HhVEaH2He/IhpgIJmmiNRiMEQYDZbEajy48L362ELyzjxpl5mD0qduDy0eXNWLzDi+EOHo8dU4KNTUHc/mUDJBm46gAnjhqbldIkKMsyPtvmwXOr2hASZeRaOFx/UB72LU0saJJqwLO/PW+0iCbl0R6UeRYOLX4RkwtN+NuRRboFC8kkcSnROW+MHdccmBfze7GChelYROhJ8SaCVK612WzGsl1e3PNlNcwGBs+fWJZQIL2vSFxfyLP3JeG87uM6bGsNYaSDxxPHpdcPrC/wW6q+JAx1TjXUzz8WGhoa0NHRgTFjxiT9vIuiiI0bN3b73Gazwel0Ijs7G3V1dXC73XA4HHA4HKryUG9AxZN6kGUZ9fX1aG1tRXFxMXw+Hzo6OmKObzSWao/L7Qvg+VWt+KRT1WevQiOOn5iLNXUBfLPTBV9UZX5WZ4IcUArQZo2w4dypORiWZ1O7xaPHbIZhwPP8oO3sAZILsGp5E3VFaCXByWNbj2OwLAuLxQJRFBEIBFQuwnIGXPp+Fao7Qmphn4ljEOzsIp832o5LZ+RGSBQmgrAk4/Vf2vHuehdEGbAZWVy0by6OHG1LeL2TzHzZm0A1bzTh38vrsHCTYld1UIUFN8zMV1Vr+mq/2sD/F9vceHyFsk5hANzQA7fXoi94hd42U5HH1AN17SXT1USqZcmsG1iWVdUltEFLT0jCcysV7q4N+OdaWJw+OQfHjbOrHdl62NQUxE2f1SPHpNiOJbN+Tzev1BZX9wVEScapb6RWBDAQKCoqQkFBwUAfRtqQ4VSZa6AHkiCPVgFKFG1tbaipqYn4jGEYOBwOOJ1OmM1mbN68GQaDAQUFBTAajTAajXFjjYkcM6kU6oGS47Iso7y8HDt27AAQO+62yy3j9k+r0RGUUGQ34C9HFKIiW+kEZzgei7e04uOtHlWxElC6TI8cbcfxk/OQbVBimce+sAl+QcZ+pRbcc0Shqo5H3ZPRY7bFYkEwGOwXtY5UEYsTLN7hwb86k+PHj8/CZfsrsSWaGw0Gg+rJLMuy2iF/6sub0RboOt9bD83DIcPt4Hle5UDhcFjdL827ycagXvypBe9ujIyhX3+QE3NGZ6UtMZ6MwmCq3Ko3Koa97fhOFx/si6Jdvdiv3vH6QhI+2uLG+xtdatFikd2AM/fKxuyR3RPisbbTE6L5+/dVXry9zoWtLaEIKx0DA0wpNuOcqTmYWpqlrp+SacphGAafbXXj+VWt8AsybDyDy/fPw+Ej05PriIU1dX7cubjLV/y2wwp6VPHqC4XcPRW/JQUiQiYxHgMZshkb5EOXLMizkbZhs9mQlZXVrdO1vzvkQqEQbl+4EW//VI0DKyy4Y1ahLsmo94Rx8fu14Bjg9dMrkJtlURO4NKGRxLB24g+LMj7e5sOra1pUOekjRtlw0fR85HQq0Gm74Xc3u7BoixeLNndEBECtPAtfWEJFDo8n09A1TvhmlxePLG+GIAF7F5tx+6wCWBMIekUjEcJiNBrVLiafzxfhV2S1WlXf7FiyqHrKAtHEfMFmH/6zsgkFNg7PnlAWISOjRUdAxOUf1sIVlPD7fRw4fa8cvLO+Ay+taYeBBR6eX4y9ynJSJpuV7SH8/dtmVLYr5ODUBPxRehMY6k0QMh5p6um+Rv+90Svg/q8bsaMtDAMLHDzMiqW7fDBxDJ44rkRXQr2nY9AiIEj43TvV8AsyHpxXhL0K48vrRG83nXKNqRDsnn5H0r6A8rxTN7/BYMDVH1Zha0sIx46z4/L9YxcEEPrKXzxdclTRiJe86A3OebsKrqCEw0dacdPBgzswaLVaUVFR8ZupviQMdU411M+/LyCKIlpaWiL8kXNyctTAE5A6X+0NSBHIaDSirq4OLS0tMRNnJNEWCoXUZDt1D6yoDeOf39TBL8hwmFncdEghJhUYsarGj8+2ubG6LgDt5rRJW44Bjhxjx/n7FaDQrnAmlmVhNBohyzIMBgM8Hk+fzRHpQKLBPkrUkQS09pysVqvKxWPxo2hfUC2W7PDgn8tbYONZmAxAq19SO8cBYHintHpFgtLqWhuSHW0hPP59C7a1KuuivYvNuPoAJ4pjcCQtkikkTPUeByQWDyypw5o65R6cPSUHZ0/N6dGDkxAveNhTcJR40n9+asWCjUpSnmeBvx1ZhAkFiUsq9kX3Gs/zKjeLPt7eIpXCWJK+jXee1GVIIEU0Ou5dbSE8s7IV6xuDEUHPkQ4eF0/PjbCmimel88EmF55b1YYZZRbcPbswqfPoq+LIvvIer3GF8ccPamHiGLx9VkXC78VAID8/H0VFRb8ZBSIgw6mAzDWIh1S5n8/ng9vtjkiI5ubmRiS+B4JXUoyR4zhs2rQJgiDEnNutVitqXCH8aVElat0Cskwsbp9VgL0KzeqcaLVa8cmGJvzj2+aI37IMsF+pBcdNdOCbHS4s3uEFxwALzq6AzWZTr0s4HAbDMBBFMaKLfbAnjeLNM19s9+Cx71sAAKdMduDyAwvVeZWuNSXIZVlWr/2Nn9Zic3MXHzt1oh1XHloRN/ZEqo3J2KW4/GFc8H5dhMVPid2AV88e02senwynTNZqUovezPPx+FEical0FBD0hT0h0L2ohGVZ9f0ClKLFDze5sHCTG55OxYeSLAPO2isHs0baYIiRE0g1iW+xWLCt0YP/rm7BT7UBdW1JGJ7D4/SpeZg/Llu9JloriUSfpY6AiKdXtePbXVQIbsINM/NRmKZCw1hjZKtPwOUf1qoS8BdMc+C0yYmp6VBDXygUGtRjXV/CYDCgrKwspUbZwYxMYjwGMmRzaGFboxtHPvoNZBl4+vhSjMq3Rgzq1MX8uze3o84t4L555ZhWqHjViKKo/q/RqGS6oydenufR0OHHa+s8+GyLIl9uNjA4d1o+TpqQBRaS6s1DCRFfWMb765rxzq9tqkwK4Yr9nThmXPoGozV1fjywtAkBQcYYpxH3HFGIHHPq1a960MpcU9WkJEkQBCGCzGgnMaPRqH4H0CdU0Z8FBAl//KAWLT4RF0/Pw0kTYneWLN7hwaPLW2DkGDx1XAmK7Qbcv7QJP1T7UWTj8PTJI2FE6km6oCDhxTUd+GizItMyLs+IWw7J1w18xpL+o6IJLQmPRm+rF2MRVZ7n1W58QRB0iY72t+saA/jb0iZ0BCXkmFhctr8Tj33fgoAgx5VQBxInrEt2evDP71pQbDfg+RNLE1qcWiwWhEIhiKKYFnnx3nYH0cKKFrrk60QylgaDAZIkdSP5W9pl3PDRbnAM8O/jS1GWHT+A3pdyq33Z4U0df9F2Fqn6/JzwWiUkGbhiRi6OGT8453Oe51FcXIzs7OzfVPCSMNQ51VA//6GKpqYmNDQ0AOgaM2k+J3WhUCikcsdQKKRyIKvViq31HXjo2xbsaA2CAXDmlBycPSUHHMtAMpjw8sp6LNrihj+sPxcZGOD4SQ6cOcWBwmyL2u3u8/nUYIbVau21nUpfoCdOwDCM2ukNKIUSsizDZDJFzE2UEKT5NLriXy/QRTxBlGRc8WEtatwCTpuUjfXNIWxsDICBwuH9ggwTx+CKA5yYk0AXc/S+REnGwk0uvLa2A0FR2da5eztw4oSsuMWvic6/ej7V1OkEICKYpUVVRxgPfNOM6o4QTByD62fm4ZAk/KKB2MExOiZ6zvV4lNFoxG2fVmFVrXL/c0wsHj+2BHnWxINlfVXAR6B7kK7kezqUm4CupA39R0lhvQDhd7t9+O+adtS6u+4TJUYum+Hs1gXd01rj4W+b8fUuL86dmoOzpzqSPoe+CjoDXbxbe431VMsSxfdVPjywtAljnEb865iSdB9uWpCVlYXi4mL1ff8tIcOpMtdgqGLbtm3qeKUdkzmOU/8tiiJCDI/bPqnCpuYgeI7BjQfnY+44p6qMwzAMXlzZiNd/7YCRYzAyl1dljAEg18ygLaDMz5fNcOK0vQtU/kiF7EajEV6vFzzPqzZ20d3Vgwk9FQou3unHo98pXaQnT8zGlQeXqBxdO0dot8OyLJ5a0YxFW9zq36cVm3Df3GL137HmTlJvSWbuf3hZE76u1MxjAO4+vADTy+N3u/aERLmMHjcny0sqDI61nuhNDC4e/yA1A3oGo5EuPtiXxcQcx4HneQQCAZUPuoMiFm5y44NNXWph5dkGnDklB4cNt/XYJJcsP/WFJLz+azuW7PSqnuUEp4XD3LE5OHefXHCScn/1rodWRTcefqr147HvW9DqF2FggfP2duDkidlpa/wD9J9VUZJx82f12NKiPEtHjLTi+pn5KcXeiD9qrzGNw7Hi5nsyGIZBfn4+CgoKflOqloRMYjwGMmRz6OGPr6zCZ+sbMHe0HdcdlKcGKmkhbTab8fh39Xh/fVtEx6bdbofX61UDndrkL70yNMFZLBasrWrH8z+1YWOTMogW2w24/MAiHDIyC36/X534KSHqC4bw7+UN+HhrpITOMeOzceJ4e4/JsUSxtSWIu79qhCsooTTLgPvmFCUlDRePdGgnTovFovp+EqkOhULgeR6SJEVMpDShE+HS6ybVCyZ9ud2Df33fApuRxfMnliLbpJ/kl2UZdyxuxNr6AKaVmHHvEYXwhmVc93Ed6j0CZpRZ8LdjhiPQSxK0qkHAP5bWwRuSYOEZXDuzEHPG5ECWZfWcSUVBew1FUezWlaIXyOwpoJZod040okkoeeLQwgjoIh2fbHHjmZWtEGVgdK4Rf56Vj8dXtOKX+kBcCXUgfgdKNO5c3IA1dQGcMzUH5yQReGNZFlartZudQzKgjjsgeRksPVCiV488xUoK3Lu0GT9WeXHIMCtuPSx293NfdwKSR2tf7kO70NJW0iYjZdTsFXDBAkUWb7DJXZpMJthsNlU95bdIMglDnVMN9fMfqiBfcvIdp4JAkj6m4KRWJYfjOFgslq65iuPxzA/N+GhTOwBgapEJNx2cj8JspWBNkoEFGzrw+q8dCAj6YyLPAseNz8LvZ5TAxkPlqFpYLJZBtZCPF9DRdlOQrQkFxMhiJxQKdeM2WnUns9mscGwd7qOdf6kYL8vI4pkTSvHfNe34fLtyb3LNrCqjOXeUDZft7+xRWl2v47jOHcYTK1rwS4NyvmOdRlxzUB5G5hp1t6HXsUP8kDglybMS5wYUzhst1a0t0ACAVTV+/OPbJnjDMgpsHO6cVYhRzsjjYFk2Ypt60OOdeveUAurEK8Myg6s/rEa1Swm8jXDweOSoYhiTlKzvDzUE6pTrzX6ocyxdXc3k8673XFutVrg8HrzxSwc+2uJRO48ApdBj3hg7LtjHEfNa93RNL11Yg1q3gHuOKMR+CdpHaaG3Dkw3yK80ei2VbGHCW+s68PLP7Zg90oYbD85P+3GmAoZhYLVaVU75W5K4jEaGU2WuwVBFMBhEVVUVAoGAGpcg1RCKUciyjEAggIAg4eHvmrGiShm3L94vF6dMdkCSJNhsNgRDYVz/0W5sbApiUqEZV87Ixde7A/hsS4cq1QwoikS3HlaIA4dnQRQUjkjNK9T5HD2/UxEeeZMPBsQb52l++2SLG0/9qHD2M6c6cf7e2SrnpGYRbXyGtvnZNg+eWNGifl5k4/Cfk8sBxI9zpcJV6jrCuOyjWmgbecc5eTxyTOp2cXpxJyo+1cYqoxVo6FkjEKcTBCEiQd5TsWtPzRyx1gTR91S7JiAVg3Q1c/QHr7RarahrVeTSP9rsVtVmh+XwOGtKDg4eZk0oIa63ztODJEn4YrsXCze5sLsj8vqbOAbTS824cP8ijHB2j/mxLKvG57WIZ2UTFCS8tKYdH25WCkkqcnjcdHA+Rjv11zu9RfS91ypRjcvj8dC8kpRtZIHIYmNtkXmqlpuDDRzHwWazwW63Iysr6zenaKlFJjEeAxmyOfSwZncbTv73cnAM8H8nlaHApiQBqfuEZVmsqgvhzs+rVekaQRDAcZyavA0Gg+pCVJIkhEIhmEwmlTTYbDYIggB/IIClO7146ecOtPiUAXTvYjMune7E+OIslTiwLKt2kj7+fTM+3x4pMc4AOGSEHSdNsGN8fu8rwmtcYdy5uAGNXhFOC4d7jyjEiBiBuWjEC2JGkx1ttyzJMImi2I0QJdKZq7dfUZJx7cd12NUexgkTsnDpdGfM39e6w7jqI0WaiHzJt7eGcNOndQhLwPn7OHD+9CKleyjFYI3RaER1mw8Pf9uMDZ0FEfPHZuPifXMivBpNJpOqPkCS/LGCW9rP4117kv+iiUyPlOoRvZ5IJCkcBMMCnlvVio+3KIHiQ4dbce1Befhqhxf//rG1Rwl1QCHL1OUSjzQ3ewX8YUENZAD/d2JpQpKj0UiFHEcHjtOFnio59Y51Z1sI1yyqgwzgn0cV6773lEzuj4XoQEnx0hjS0zl+ttWNJ35oBQPgw/OG9+kxcZyiIkIKANquLfo3FWjYbLbfNLmMxlDnVEP9/IcyfD6f6gkJKOM+z/PweDxq8IIk2YhvUjKTElw8z+PrnV7867sG+MMSci0cbj+iDBNyGdjtdvj9fnT4w3jj1w58sNGFWKMixwBzRmfjwn2yYY+hCkSBsIFezMcr6NMLsFHnO6k4xeocSYQDaL8jSjKu/KgW1S4B5++Ti9MnZ+GjLW48v6oNkqx0UbT5RchQAld/OjQfwx098+bo45BlGV9s9+A/P7XBG5bBMcBpk7Nx5hSHriWQ9vfabq1o2O32iKAmAN17azKZ8PqaJry0RjmvSQUm3DarAA6d54SKgKkrRG8e1gsE98RV6zuCuOaTOrg7A/IzKyy4bVZyktzaYwTQJ/YsWqTqZa1VMkoX4nVjtQcEPLuyDd9X+SBoble+lcPZU3Jw8t5Fcd+LnrieOyji7LerAQCvn16OrBgFyT1Ba7HV30hmfUDd8WTF1VegpFc8XmkwGGCz2WC1Wn/TBZZaZDhV5hoMZdTX16O5uUsGnVQZKQlIKoMmkwmSDDzxXR0+6kxEnTQpB3/cvwCypMw9bSEGl763C96QhHP3ceJ3++QCnAGLN7fgf2vbUOPumqOcFg7HTHDgiOFmFGXx6hwfb36gAr2+sLRIFvHGeO3fFm124+mVlBzPxXlTsmCzKao58YoptzT7ccOnXb7FZo7B66eVqBxN7/x7k7S944t6/NzQxalYAI8eXYTReYlbzmih5RDxiuzsdrtq+xQrdhfdMNXTeVKxKgDdZ0mP9yfa+JMuZR+j0QiDwdBnioltfhELNrrw8Ra3Wug8wsHj7Kk5OKjCGteyhdRtE20c2dgUwGtrO7CuIQBtTTUDYFy+EadNzsZBFbYe71u8Tv7oe7ajNYSHv2vG7g7lGTt5ci7Om2KHKcnC12RB49OqGh/+sqQJAOAws3j6+NKUuWoi0LOAHWholZJicUoqHrfZbOpzNRSQSYzHQIZsDk2c9dz3WLGjFadNceKCvRWp8oggIW/GiS9thigDz59YipIsXp0wtN28RqMxItjJcZza3UEJYZ7nEZZZvLyqHu+tdyEsyWAZ4Nhx2bhgegFMjBAxkQcECdd9XKd2UZgNTER30N4lVpw80Y79Ssy9GsBafALu+qoRle1h2Iws7jq8AJN78HEGYhOeeElXWtATqYkOriVCFmORotW1ftz1VSMMrCKPXxIniUqV/9kmpSMo28Th821uPL6iFSwD3HtEIWYMy04puEb30Gw2w+vz452NXrz2cwskWZHDueWQArUbh+RXtF1MlJSlZwhAtyRtvOtEybdwOBwzaKZ3j3pKrlqtVrT7Bdz12W6sa1RkXn+3jwOnT85Gg1fAVR/VJSShHo14FaXkAT+50ISH5hXrficRJLsI6Qt5x0QSytSVFT31Prq8GYt3eLFXZyd+9Pve38nqgUqOx7If0N6vR75rwlc7fcgysnj9jIo+OQ6LxYK8vDxkZ2cPmaBkshjqnGqon/9QhizLqKmpUbp3Ouc2moN4nlc7arTjGC1OaUFNFfk1LgEPfdusSqufNy0Pp0+yg2WgJoNrPRKe+K4Wq6qVOc7EASzDqF0HgBL4mFRowu/2zsHkQn3OSNLM6VBHSRV6SkTaglEtKDhDiiIWi0V3nk8kQBbNEb7e6cXD3zXDbmTxn5PKYDOy+KU+gAeXNcEVlGA3smAAuEMSTByDy/Z3Yu4oW49cXI+LtPoEPLOyDcurlM/Lsw24+sA8lYdTd7W2s9ZisYBl2QjlAe35AlCDlyRzKoqiWjgZDIt4+JtaLO7shJ832o5rDikCRP3kZLSPe6J8Kt531zcEcMfiRoQl5Tk9c69sJUDfS/A8HzN5ny4wDKO+x4kgHV6XiW53a0sQz6xsjZDIBRRVgktn5GJip2d7T+9FT1KkP9X6cfdXjSjJMuD5E8t6cRZdz/hAqFfo8Vk9Ln7tojpsbwvhzlkFOKCidxK20WAYBjk5OcjLy/tNd333BhlOlbkGQxmBQAD19fXw+/3qXK4trKSmEooVKYVvjXhhdTsAYOYwK+6cWwEjx8Dv9+P72jAe+KoWLAP84+hyjHcq3IDjOBz/yg4IkqI8FO6cAhgAMypsmDfKillj8xAMJBYDGGjrnlhzr97nn2zz4akVShLtd/vm48xJ+knC6Niayx/Gee/WqgWqLIBXTilFYa49oY7nZLGl2Y+bPm2MKIidXmLCX+YkHifTes/TsVBzmB6vpOJIahqiBhdauwBKTDe6kzzWnB6tQqjHR2LFmuLxqVhxot4i3XaCrT4B725w4dOtHtXPe0yeCWdPycGMMnPchHgyx9TiE/Dq2nYs3+1T/bUJRTYOR43NwokTslTVoGgrqliIdW/omCRZxoINLryyth2CBOSaOdw8qxhTC/pPxdEvGXDum9sREgEDCzx1XM+WlOlCrDh7fxYKGQwGOJ1O5ObmDqnGnGSQDKfKRHsz+M3j8sPHAAA+3twBn6BUzpDMHQBYDAwmFSmL1DV1gYhJiCSNgC4yQJ7GWqlAWmCHQiHI4QAuOaAYL5w+EjMrrJBk4MPNLvz+7Z34bEcAPn/XRG82sLjl0AJQ40hAkHHBNAfmjrLBwAJr63z4y1eNuGpRHRbv8ECQUqtjybMa8NCRRZhUYII3JOHOxY34oarnyV+vMyR6IjAajRHXjGRFDQZDt0GaZdkIokNVetEQRVE3+LhvqQXTy20QJODln9vjHvvJE7MxLIeHKyjhhdVtAIB5Y7Iwd7QNkgw8/F0z6jr8Sfm0GY3GblVWHMvgDzMK8eD8UuRbOVS7BNzwaR0+2ORS5T8FQVAVCgClMpXO2+fzwefzdavMi0X46FkjIhoOh9UuGi30ap5EUVTPQQ9bGn24fMFOrGsMwsIzuOPwApyxVw5kAI93+opPLjTh+PFZPV8sDbR+q9HHuHiHQs7njErO6zIatHBMFOkkLgaDQe0U6gmSJOke58UHloBngXWNQayq6f+EdDTIAqK/Qc+1duyggAA957vale8U2NJbEcowDBwOB0aPHo3Ro0fD4XBkkuIZZJBBNzAMg/LycpSUKD601IVBxZTRQRuSp6RkHgWTeJ5HWbYB/zyqGEePy4YM4JU1LbhzcSPa/IriTjAYRL5RwD2zC3H37EKUZBkQFAG/IKMsi8O4fBMYADKA9Y1B3PpFI859pxov/9yG6o7IgBUl8gfSnzZ63xaLRZVo1H5mMpnUOZX4JBWsRv+egm2UzKTksBbRQaBDh1tRkcPDE5KwaJvCQ6YWm/Gvo0swKlf53BeWUJFtQFCU8dj3LXhkeQv84fjBJL0gqdNqwG2zCvDnw/KRa1Z44p8+b8DTP7ZANpjUZ4J8o+l4STpdCyqWoCJdACrHpO6y6mYXrvtwFxZv94BlgD9Oz8XVBzphNenP6dEWKlTgoUWsggCfzwebzdaNy3++zY1bv2hAWJLBALj54Py0JMWBrqLQvgSpgiXKK9PZfUHrVKvVGrFmWrzDgwsXVOP6T+rVpDjHKF34/ztzBB49pkRNiieCngKjW5qVZ3lcXu+5YKx1XX/A7/dHdK4BXetP4rmiJKPKpYyXFY70PVs8z6OoqAjjx49HeXl5JimeQQYZ6MJsNmPEiBHIyckBwzBqNzM1m2glfE0mE8LhME6ZlIObD8kHzzJYvtuHGz/chWaXMpfPGZOD+WOzIcnAg0vr4ReV8U8URUwr6SzKYxn86dB8TC02QwbwY5UX9y9twpmvbcUrP7ejwdNz8lFrMzkQCIfDEWt1juNgtVojuBjx8+PGZ+GS6QoPeWV1M97e6FX92bXQ8hmDwYC8bCveO6sMZkNnghjAue/VYmOjfvK2t+pM4/It+OC84RilmYtW1QVx0muVaHTHLy6jcw0Gg2AYpUiCJKBjqfLRGkW7PtByD4pVRierw+GwbhwX6J44TOYZ0dqPRiMcDvfJGkZvfZEKmr0Cnl3Ziover8HCTW4ERRlj84y4+/ACPHpUEQ4ekQVTgvG1WNcsJEh4e10HLlpQjd+/V4MvtnvVpLiNZ3DkaBv+e0oZ/nNyOU7fKwdGA6vyHbK36Ql6cVJahzV5Bdz+ZQNeXKMkxQ+ssODJ40qwf4U9ofNKB0RJxlUfVCLUeZh3zCrst6Q4oPBK7fNCzWdU1NyXsNlsqKiowPjx41FYWJhJiqcJmY7xDH7zkGUZxz7+LTbUuXDdnDG4du44MAyDnTt3QpZl+Hw+vLfJixdWNePACgvunz+s28RvNptV/2yg525KGigFQcDqGg+eW9mKHa0KQRuWw+PS6bnYp6RrcbxwkwvPr1KSt4U2Ds+fWIY2v4iFm9z4dJtHDcQVWDmcODEb88bYYeWTH3QDgoSHljVjZY0fLANcfWAejhwdfxLTeqnrdYmTHyR1zpNftV7nCcnH0bWkv+1sC2FiaQ7kTp9OunZ6xHK3S8SVH1THlZ0mbGwK4ObPGgAAf51bhKnFZgQFCTd91oCdbSHsVWTBo8ePQDDQc5GAtnpR+/+15+cKinjs+xb8UK2c+4wyC246tAg2QydZsdnUKk2tKkGsakC9bo5YVZTR0vZ62yXVA0EQ1EmbFg7f7fbikeUtCAoySrIMuHNWASaUOiAIAj7Y2I4nv2+CiWPw7xPKUWzn1G0lWl3JsizMZrNaIMDzPLa2hHDF+7tg5Bi8emo5rMbeE4lEKz7TUdVHSgDJyunodaqYzWb8e3kd3tvgwnAHj8ePKYnwG0p3JWsi4HleldXqb9DzSdKt9B5wHIczXt8Fd0jCESOtuOHg2J7siYLneeTl5cHhcMRc4GXQHUOdUw3188+gK2hBFjKbNm1SxyxKNsbqyowe0xmGwVc73Hjqh1YEBBkOM4ubD8nH3sUKV7TZbEriUxDx7i8teP2Xdvg6ueGhwy2wGFh8s8uHgBg5Xo/O5TFrpB2HjbAi36qMb+mSIEwVZrNZ5St66iAU9CK1Jgq+EffRHj/xba0EOXF1m82mctRo33cAWLrLi398G9k1Dihc+bHvW7CsUtnmuDwjtraEIEPp9r710IJulkRUHAFAlTzVgyco4oXVXZ7m+VYOV+7vxGFj8+D3+2N2w2ilDenZIS5F18JoNGJjgw/3LmlAi0+A3cji1kPz1fWG3n03GAxqEj76fKK5ZvTvyQuVgq/UOfbMika8v0mReDVyDB48sgjjOrm6yWRSO9+0nuYUUEqm84zneRgMBvW6ke1JurlSTz6ZQPreKUqG0/0ICRJe/aUDn2xxRyhEWHkGx4zLwjlTlKBnKvZJ8bq9AOCeJY1YWeNPWiUqHgaCyxLoGmmvFd23encYFy+sBc8C75w1rEe/z55gt9vhdDqRlZU1ZCQre4sMp8pcgwygFsQxDIPW1la0t7erxWpUYBk9jv7aEMADS5vgCUkozzbgL0cUYkR+FtrcPlz7cR1q3QIOHmbFrYfmg2EY7GoL4apFdQCAu44owmGjHKhxhfHxpnZ8tqUD7QElPsIA2LfUjKPGZmFGmQWGGONif3dKRoOujdFo7DYPUhEBNbb4fD4s2ubH0ysUefTz9s7B7/YtiIh3kOc2NQkQ92JZFhctqEKdu4sPXDHdgWMmdLfeSIQ3xAMpTq6odOP2z2si/jZnlBXXz+we/4ilzGKz2XQLGLRqn6SQYzabEQqFIop4tZ9FQ29O76nbWHu80c+NlsuRralePFNbJELHRVyS1mRA98LPnmCxWCAIgvrMkAVoT4pAjV4B76zvwOfbPKq1zYR8E86emoN9S7oX5iVSPBF9vX6s9uHNdR3Y2hKCtleOY4ApRWacMzUHk6IUYbXx12QRvQ5gWRbLKn14fHkjvGEZZgODS6fn4sjRdlURrb8su/72TSO+263c1wv2y8NpE/svKa8FPeuxcgPpAsuycDgccDqdqvpbBj0jI6UeAxmyOXTx4dpaXP36GuRaeXx36xGwGg3YtWsXRFGE3+/HLpeMqz7YDSvP4K2zRwJSd3KnnbxjJSdp8qGkruo/I8lYuK4Zr/zcDndImS0PrLDgon1zUdLp53PX4kasqVe2ec2BTswbo3TlekISvtjpx7u/tqI9oPzWZmRx3Dg7jhufjVxLcl2ToiTjiRUt+LKzU/eCaQ6cOik77sJdm9DVXg+j0YhAIKASLZoIqKOFgkTRxEJLxNY3BnHHl/U4ZEQWrjnAoZJurYeMtjPGYrHg70vr8NmWDkwqMOGheUVqYFSP+Dz1Qws+2epBWZYBTxxXCiPHoM4t4NqPa+ELyzhpYhaunFkSN6AVfb/jSU7KsoxPd/jx3A9NCEuKd9Ptc8ow3sGoZI++p0206/mdR2873kQbTUK1AUPtvwElEE0LAAPP46VVTXjj1w4AwLQSM245JB9ZJsVjsaYjoEqoX3lQIY4ebVE9SyggKssyAoIMQZJgYqSEFwJP/9iKRVvcmDXCipsP6X2CE9B/VvXQW/LWW9lMq9Wqdj3RPQ0zPM57cwe8IQk3HlKIeWO7pP7peve3BO5ABTHp+kY/1xaLBXOf3wQZwJUHOHH02OTUC7Sw2+3Iy8uD3W7PBC5TwFDnVEP9/DOIhCRJ2LBhQ7f5PNZcEz2H0Fhb1RHGg8uaUNke7pRWd+L304sQCgYilDNafQKe/b4WX273QoZixXPqpGwYOQZvrevoJqnHANiryIRZI2yYNSobdiM7oIFMvTmUOkS0c45WTp0CcyTRSCpEpOQUDocj5oxoT2ytDU4gEIAoybh6UR12d4Tx+30VCXugq1vozV/a8NLqVshQPAE7giLa/BKMHIM/Ts/FvDF21WtTO09Rh1e8JfamNhkPL61FfWdH1pzR2bhwWjZyzFy3axMdPDQYDGqhAF0zSZKwZIcb/1hah5AoY7jDiNsOy+/WQaG9JmQBFYsLRZ+XzWZDMBhUOZ7NZoMsy6rsq8fjwb1LW7CqRrl/OSYWz5w0DFl8V7A5mmvTuWo98ACowU0quk0mwJxu3pJI0runJHMi0B53i0/AMytb8WO1H9palyIbh/P2dmD2qO5BQFJWoHcoughTT/GLPOWjIcsyfvduNdoDEh6eX4wJBenr0Oor2fmeQF100ZZSLMtixW4P7v26CSNzeTxxbGlK22dZFrm5uXA6nQOqyrGnIsOpMtcgg0i0tbWhrq5O5X5aS77oOa6yPYR7ljSh0SvAYWZxz5xiTCi0YkO9Bzd9Wg9R7oovms1mnPG/bWj1iRidy+PZU0ep46IvEMIP1T58stWDtfVd47TTwuHI0TbMG5OFInv3IvKBsmAjxOLaWltM7ffeXd+BF9e0AwDO38eBc/bJUxVEfD5fxPaii6ru/rIeP9V3cYL5Y+y4aVapug8qWgyHw+pcQ2ohiV6j6Ot5ycJa1Gm6xc0cgxdOKkG2ReF48exK9Ap0o58hil8LgqCuM7TqlBzHged53eaxaDXQWJxST8Y7Om5HBa0UI9PGjYHuXEuvyJg4D6m6Risgxmq+igWyCdW7tvWeMN5e5+pUdlU+m1yoSKbvXaxva0VFoD2twaxWK7bUteOVn9uxqjagSrIThuUYcOKEbBw52hazS7k3RSt0L61WK9o8ATyxvBFf71Lu1fh8I246uAAjC+y6a9m+xIebXHi2s6FwepkZ9x9ZNmBWDsS7te9qOjmuyWSC0+mEw+HQVUPLID4yifEYyJDNoQtBlDDnkaWobPHhL8dPwgUHj0RlZSXC4bAil84ZcNYbO+EKSvjX8cMwJqdrEqMJNnqip88pkBMtu0fdE9ru3GaXD6+tbceiLW5IsuKHcfLEbJy+Vw5CooyL369BQJBh4xn87/QKtWKdYRjIDIfPNrfhvQ0u1HRWKvIsMGe0HSdPzE5KPkSWZby0ph3vbnABAE6amIUL982N6XdClXtaQkAVevHIifbfWlKmDcatrBdx/+JqiDIwvdSCO+eUwGzo8lo0mUzqdQ4Gg+B5HnXtfvzxg1oERRm3zyrAISOydCsKAaWw4PIPatEWEHH2lBxcfGAJ/H4/lu/24a/fKD5Dd8wuxoFl+kEMvYCYHgmzWCwRgbwNdS78fVkTql0CGABn752LMydngWMZXdIQi3BSkQFVnsYLzkV3UWk70kmOmoLCoijCL8h48OtarKhSJvPTpjhx8fQ8GHllwePxenHHlw34pSGIyYUmPHbiSEidUrAsy0a8D59udePJH1px8HAb/nxofsxjJIRFGee/Ww13SMJDR1dgcl7vu8W1CxcK1mo9O2Ndq1TQm99ToUj0Apfnebyzrh3Pr2xGvpXDy2eOhhTu2sdABBMHIjFOz6e2sIPQIXA4940dAIAXTypDgc7ivKdtZ2VlweFwZAKXvcRQ51RD/fwziIQsy1i/fr3K+7QdJgC6JWK0sphA5PguMhyeXdmKjze1AwCmlVpx2+xSWBhFacfv96sdLWur2vDsyjZs6pQ9LrIbcP7eDrT6Bby5rgOeUPdlnoEFZpTbcNhwK2aUmWE29L9lhF4QVa+wTRsEi+ZJ0YpE4XAYsixHdPtovd21/IA45XdVATywpA42nsGrZ44CD0Gd33mex/JdLjz8bRO8YRlOC4dCG4dNnTLWs0ZYceUBeXBmWbvNzfHmTvpbQJDwv7UdeH+TC5IMZJtYXLJfLo6amKcm+ymopu0ijt6+JMt4dW0H3lqnFDhOL7Xg5kPy4cyyQBTFbgEj4pV0LWMFlKIT/PQsU5c6FSf4fD6wRjMueWcHajrlqEc6ePzr2DIYDaw612qD0wQKxlLwTu9YUgm4p6tzhfZNwXWtJYIW0UUYyYKe8/UNATz3Uyu2t0YGYCcWGPHH6U6MyevOW2gdShyfYRhVHUpbaKDHWWNd20aPgAvfrwHHAG+fNQxGLn3Fg/3NZWmN5vP5YhbkvLKqHi+taU+6UJdhGNjtdpVXZux3UkeGU2WuQQaRaG9vR3V1dcQYBuiP2wzDwCsZ8KePK7GzLQyzgcFdc8owtYDDO+s78NKadpgNDB47thTl2TxeXduO139pBwPgwwvGw8h2xehorqh1h/H5Ng++3O5Rm3MYKE0UR43Nwv7lkV3kA6kIAnS/LiyrqKloeaWWU769rgP/7bRmvGCaA6dNztGNpRG/pO5jnufx/I/1eGe9R93u+HwTnj5lVETsjewUqbAh0YQsNRNFc4rFO3x4dHlTxGenTbbjwv0Kuq0pohOiWhsP4pXR90rLwWPN03r3mNY0LMuC47i4DSrR9psk3078XetrTkoA9Df6PXWSA4qylPY8qWmHVEy1xQlaJMtDojllrTuMt9Z14KsdXrV7e2qRCWdNcWBqceyOXm1yU2uzpeW+vpCEN9d1YMlOL1r9kTFMh5nF7JE2nD3F0aPSZm/eR5JeD4VCWFPjwaPLW9DoFcAywO+m5eOcfZwQBaWrXm8s6qsU49bmAG74tAEyFCXd/5xcBr5zrdKfoIYzat5L55rAYDDAbrfD4XDAZrNlmnd6gUxiPAYyZHNo49UVlbjj/XUoc1jw9c2Ho66mGsFgUA2ePbSsCcsqfTh3HyfO3kvpQqQAJCU7CUS0qANa+xrR51SlRvIaNNkHAgFUtofw/Ko2/NxZiem0cPj9NAfMHPC3ZS0AgOPHZ+GPM5zqdmkiDYUF/FDtx7sbOlSPOQbAQcOsOG1StipX2BM4jsOCjS4892MzAGDO6Cxcc6ATsWIfVqtVPS+CnnQOERoKgGklRmjSIhl1Iog/N4Rw35J6BAUZexWZcffsIlg0+S5txxCRmJd/bsNb61woz+bx5HElsFstMbtKvq304sFlzTCwwJPHlaE8W9n4Cz+14b2NLlh4Bs+cPBJ5xq5JleQ8o8+RuqWjyaYoiiphIjLnCwp4blUrPt6sBCsnFZhw08H5GJZvj0nGYlX2Ebmh4JcesSaFAiKBWhJJ151hGIRCITR4Rdz/dRN2tgVhYIGrD8jDnNF29b6Ew2Es2uzCv39shYlj8NTxZSi2K8+gdtFAxOCln5rxyupmHDchB9ceXNSjzDoVJjgtHF48uQw2qyWlQBl1LAFKMYrelGYwGNQCC3qGKeidyD6pO4s6mvSCu4lCj4hru3pCoow/LqxBk0/EpfsX4oRxlri/7Wv05yKXuugFQYgIAGjx8RY3/v1jK1gG+ODc4T1uk+M42O129b+MD0/6MNQ51VA//wwioU2Ma+eIaAlCbYdsNHekYA7N70t2ePDUj4q0utPC4bbZpdin1KrKHdKc5PV68fUuL15c3a4GUaYWm3H+Pjn4uS6ABRtcage5kWMQ0nQdWAwMDqywYtYIG/YpMceUykwERqMRsiyr3SXkha0H+jvHceqiP1ruPNovnPg28UzapzZRTglkrdWJ1WrtJm+uejCyLC59rxK7O8I4d6oDFx5QrHbc0ncqWwO4f2kjql0CjByDA8ot+G63D5IMlOcYccsheRgVJa1Ox6Y9f20gT4tKN/CPpbX4f/bOO06q8nrj3+l1e99lWXoVBAVFFFGw995rEqMmsUWjxpLYYkyMJdHYNcZo7L0XFCwgIIhI77C9t+nt/v64e+7emZ1Zdqn+wjyfDx/dKbe89859n/ec8zxnU5sarN231M5vp5WSZYlXics5m0wmrTiitdPPfXObmV+lzpenjsnkggnZWmFtb0V8ci8m2nfrIbaSencbOTdJ3m9p9nDl+7V4uhyxDix38PvphdqxyjEk42dyrfSBT+n/LO9LoZyeZ28NfVHtp/qeqIt6s8TXW+fr+XZiwXAqyJpIAr9v/djEi0vbaNYFQc1GmDrQyaWTcsiyJy8CTBVAT5Xw3praSiDrpmG5Vh48pmSr59Mf7MygqR4Wi0Xj+aKmS/ZbsNvt/HVOLZ+s7eC8vbM4a1x2r9u12WxaMtzpdKaT4TsIaU6VHoM04tHe3k5lZWUP98TEokBpv6IoCr5QjLu/bGRJXQCjAa6ZVsyMQQ5u+qSWH+oCDM2x8s9TBhMMBDnpv5tQFDh1bDY/3zdH42OJTiLhqML8Kh8frfVosUuAHLuJw4e5OGKYm2K3ur7e0cpxSZqKtXeyVjMCfYtH4ZWJNtjyGeGW/5pfy39+aAPgsimFnDQqA6vVqjlgijuP0WjUuIzwlq82dXLn53Vx4/HqecPi+I5cH1FzS7K2tzkwFW+zWq14vV4uequW9mD39zOsBp47uSQuxpHMIcZsNvfgcUDSNpe9XcdUvEFEUMlUtInfDwQCcfw9kbPrxSOJ8T0pfpW1lB6yRtCPoRSCylwtxY2JvHZrUBXc7byyvJ3ZG7sT4hNL7Jw5Lou9CpMnxPV8MRwOJ+WIsViMr6ujvLK0ic2tausm7XxNBvYttXPu3tlUZKfuTy45CLm3tzV+J+Mfjiq8sLSN15d3oAClmRauOSCP0ToHoWRFqDuL43UGo1z8pioitBjhmZPLyHGYd2l8VIpNRQyZSvkv6055XvQGg0EVzQmvlLYPaWw/0onxFEiTzT0bgXCUg/7yBU2eIPefsTczh2bg9Xq1JOBHq9u498s6RuZbue8oNQiQOPHLJJuKsOhJhMvlwu/3ayQzFArFva8oCguq/Dy1qJXaLivFEXlWwlGFjV0Wmk+dWEpRRjfJ0QePFEVheWOQ15d3sLC6m3iMK7Jx6pgs9i1Nbt8CaArkYDDI5xs8PDivmZiiBuNuP2IgTqtJO0a9Ej7RqltPnqX/pXzG4XDEVelJtaQQVP32zGYzq1si3PThFrxhhSE5Fu6YWUSu06IlDW02W1yw2ReKcck7NbQHolw+OZdjR2aktDJUFIU7ZjeysNrP2EIbfz68CKPBQDSmcNNn9SxvCDIo28Jjpw6j69T7bFkux6/v0ZjYZ+SjFY08PL8ZX1jBbTVy3cElTCpOHuTqa1+e/hBWvYuB2WxmcbWXP89poDMUI89p5ubpBYzIs8bZMNV5wpqF+i8n5XD63t39l+RzUiQA8NfZNXy0pp3z987mrPHZW+3pc9fsBr6t8nPqmEwu3kddjCWruOsN/bWlSkbkk90zEkyTayrVvjsCqRYq+qD0rPUeHpjXjMtq5F+nlNPVFna39IXdVf2C3G63dv6pFg0Af/umkdkbfWTajLx+3jC1mCDh+BwOBxkZGbjdbi3ZlMaOx57Oqfb080+jJ+rr67XkXTQa1Xov65dayey9gZSqhsagkds+rWJzWxijAc6bkMupo91kuF2aAlrmNX84xmvL23ljRQfhGBgNcPTwDE4ancGn6z28s6qTQFef4nyn2uanNdC9z0ybkWkVapJ8VIEtpYtQMqSan/Q9wwGtOE2f5BZIoZvMhy6Xi1AopM0Hoi6WoKV++3o1qMzrckyJfFMKCqTaf/b6du75qgmXxcCL5wzHGO0+D+EN3lCMv33TpPHtgyucLG8M0uyLYjHCJZNyOXp4fFsO4RJy3qkCN3a7HY/PzxsrOvjv0jYiMdUa/8IJ2Sq37SrukxZEVquVYDBIbWeYu+Y0sbkthMVk4Mr9c3tYbCdzLEh2zRIVacmOUX/8Yne5cHMrt85q0Cwkzx6XySUHlMUF7YVHJULUSaIykv+Koh+IC572N+De389vLeieCAmUJ3K6ZJxJ+KrwynA4TCAS49nv2/hsvUf7XQK4rUZOGJXBGXtlYu5D0jXxPKUYNtm1TNXCIRFPL2rlzZUdHDPCza/2y9vqMfQVO8Jyvi+Q1mbQe4GD4JoPa1nbHOK2w8vYr8Qa93sxGAwap3S73T1sWdPYMUhzqvQYpBGPYDBIS0sLgNYjWlxaBInPdIvFQigS46Fvm/lkrSrMOHtcFkcOc3HlB3V0BGOcPCaTn++Tw3Uf17GqMUiW3cQLpw3QxA76dn+JqO0M83GCihxERe5m/wFOXA77DolXpJqf9EWTwiNlbBKf9VJEGggEtIStnj/GYjFeXNrG85Ic37+A44Y7tXGQ2JS+xzt0z7tVHWEue6dG25/ZCK+dUaYV90HPfuO9zYNbEyQIT/7Xwgb+831z3HuXTsrm+FFZKWNqes6nT0TrC3j1Rbf9iYWmOk8g6bkmroX03Bbi7+tkLTr1hSLJzlGKSeWfQPhAf4UfW9pCvLysna82+7SE+L6lds4alx2XKE7E1mKVqxoDvLC0nR/rAxqPBlX0NjzPymljMzlsVEFSoZYI0oRj7yjVtNFoZEtbiHu/amR9q8pnjx6ZxeX7F2KMJee3iU4NOypuKojGFC57t4baLtfcu2YWMqFEHdtdJeLRxxT70nceUvd4t1gsGq90uVxpm/SdhHRiPAXSZDONR2av468frWZEkZuPrjoYo1FN7NbW1tIahOOf/AGjAeZcPYX2xtq4B61MtMmUJ4JEwiGkSGxekk3k4ajC26s6ePnHdvxdgREDoABlGWYeOb4Uk9GgqRiErOq3saktxJsrOpi90av1ohuUbeHUMZlMG+TSFECpJueF1X7u+bKRYFRhZL6V2w4tJMPW/YC22Ww9JtzE5K8Ef/VqKCHY+jGMRCJagM/tdmsW0sFgkMpOhd9/XE1bIMqALCt/OXoAWWZ1n4mJd4D3Vnfy2MIWsmxGnjyxjCyXLSXR7IxZuOjl9QSjCr/ZP5ejunoTt/giXPlBLW2BGDOHuLh+eslWgzbJCKEUAiQLqDmdTjY0tPO3b1pY1aiO2VHD3Vy2fwF2szHuWkrV5tZ6AclnUyl8xEJUJmOxc3p7RRtPLmolpsCIfBs3H5xPeX6mZjnk8/nAYOCWzxpYUutjXLGD+48biKFrf/oeP1IN6nQ6ue69TSyq9nHdtCJmDnGltLYHaA9EueB11T7/n8eVaNWPfan4k3MKhUJagLw/idvE4L0EEEVR0t/q0W2BfkEkvY/0bgfRmMJVH9SyqS3MaXtl8/N9c7Xnx65MjO8qVU9/+h9d8V4NG9vCDM218Pdj1D6Qct9kZGRQUFCgXdM0di72dE61p59/GqnR2dmJx+PBarVisViwWq20tLTQ0tIS9/zXO8FIEl0PCTIFIjGeWtTOR2vV9jf7lrm4ekoOBRk2rbBKjzpPmGcWtzF3izqXZViNnLt3NgeUO3hjRQcfrOkk3EUdRubbKM6wsqTGS3uwm08UukxqP/LBLgalUChIUrq3YqZU35PiTP1ronxNHA+9LWUoFIoLvon6RwpQbTabpqiXJKTM63rOpE9ae7xerni/ls1tYc4el8W5e2drx6XnXtGYwn+XtvHyMvU6TChxYiDG97Xq+E+rcHLF/nlx9oaJauhUEN5W2R7moW+bWdGojs3oAhtX7J/LQN01MBqNLG8Kc/tnNXhCMXIdJm6eXsCYIqdWTApo/5XkbeIxJAZne+Ng8p4EU2OxGB+t7eTBr1VLQ6MBbpxezLSKbncpSTRLkFKvZpLgkqyPJCgkbZZEUR0MBrUE+raoQvoSMNOrj1L1kUyFxECw3NvSfkq/DhTUeyI8uqCZxbUBLcAKUJph5sIJ2RxY4erz/iG5M0Eqy3eghxor2fjc8EkdyxuCXH1AHocN7dnPfFuxq/rQ9idQqigKp79cSSCi8OjxpQzOc2jjlpeXR15eXlySI42dgzSnSo9BGqnR0NCAoigap7RarWzYsKFHazuZZ6PRKP9Z0sqLS9sAOGyIi/0GOLj7S9Up8vYZhTjsNq7/oBKAh08cyKAMQ6+FVXqEowoLqlUVuXAggByHiSOHZ3L0iCzy7P2PIUjSO5WLTSokO279fON2uwmFQhqHlHETp8R/LWzgxR/VQoJLJ+dy5sQiQqGQNr9KyxfhvPo5obmjg3NeqUFX38YzJ5ZSmGFJOuelil2JCGhrxXkyv/nCYS54vTausC7faeLZUwYkLYpMdLhMPKZoNKq1HRLoz1PPIRM/B8kT/qnmYn2MSZS34u6oj2GKi5bE/vTFiFarNS6hKNxT3tcXO0qBrggqHA5Hn9S8m1rVhPjXm32ainv/cidnju3dpVXfwjJxDFp8EV5Y2s43W3ya05Kg0GXi+DG5HDvUjrWrzZW+lY88A/rSo3xboCgK76/x8MziVkJRhUybkd/sn8dho/J7Xevp+fn29DVPdUx/+rJRa/151rgsztOt03YVr9yeOKx+HVtYWEhWVlZauLMLkE6Mp0CabKbREQhz4J8/pzMY4akLJnHYmKK49w+/fw5rGzzcf9pYRtg9SRPjUikupMJut/ewCBSLGFHXig1hsp65ghZfhOeWtPHZhvi+LOfsncPP9yuK+16q4FCjN8Lbqzr4eK1HS7IXOE2cPj6PmYMd2HopRlrZGOT2LxrwhGIMzLJwx4xCirPsmvWMoig9esLIuUqlmpynWHZLMEs/NhJEEnWIjJEQleqOMLd+3kCDJ0KBy8wdMwopz7LE2ZVYrVb1uxi5+NX1VLWHOGfvXH42uaDXfjjvr/Pz6LcNuKxGHju+lByHGsBaXOXhlln1xBS45sBCZg529NhGIhKT0lLBmVg0oSe/VruDfy1s4KUfWlCAgVkWrp+W3yPonNibXVQ0iUUV+qpOPcGU/9f33TFZbfz96zo+WqMGdA8bmsHVBxZCLNJjMfH+6k4eXahaqD90XAmlGRbcbrcWfNZ/FlRCcvEr69nSHubuI0oYX2jttRr23VUdPP5daw+LRlnsSUBPb7EqPcPFQlTQn+RtIlHbHb2w+lplu7Daz+1fNKhWQadWkOcwagUkuwq7KhHfn+tw1iuVeEJqEcs1U9Ve9iaTibKysvS8vouxp3OqPf380+gfamtraW5ujutfLXNkYm/txGeiBIjeXdbAo13W6jl2E7ceVsaEUlfK5+cPdX6e/K5Vs+iuyLbwy0k5DCvK5LnvGvhoTYdWTDl1oIsJxTZWNQWZt8WncUhQCy2nD3Jx8CAXRW41SLatgQh90aj+uBP5tl5VLu9JwDSZk5P+mKRQESASicS1KxFOplea22w2vljXxt1zGnBZjPz3nGFYiWjBp8TA2debvTw4r5lARKEkw8KUAQ7eWaWOZWmGmd8fXMjgnO4kcF/mOP14xhSFD9d4eHZJK/6wahl4xl5ZnDY2C7MRPt0U5OG5KmcdWWDn9sPKyLTEkvb6SzZOwiv1ynt5XYKH4gikP3c9v33quxbeWtWpXlOTgQeOHcDwfLvGE+Ua99Y2SO8kkNiiRo7RZrNpqnJIrnzvDaLwkCIJfZBXnzwWbtjf5Lv+2updl5JhSa3qEia/R1ALoccW2rhsci6Dktjx9wV9dZpK9l6yz0RjCme8XEkwqvDIcSVxRRnbi13Fu/tzHRu8EX72ZrWq9DtrIGajmhwqLy9Pt9/ZhUhzqvQYpNE/rF69Om7+0j9fhVd+tFZtQRZTVFV3gdPMJ+s95DhMPHbSQC5+bRO+sMKEYjt3HVbUo/1PX9Dgi/HZBh8frmqjNdAdZ9mn1MERQ13sP8CJJVWvxi7oC8r6A+Ey4mQoXFrf+lBvGS7zgnBwl8ulFqAGAjz/Q3fh42WTczluZIY2jtJWRtwTJXYmSXOAc16tpENXYHrnzCIOHKq2xRRlb6pWgxaLRWsbk5i4TowRQXxM66F5jXy8Pn6bN07L4/BRBXHcQOKtybii7ENsv/UJ6WRzqf6YZKwNBkOcslvOS66t3g1I/tZzP+FQsi2J74lbqyjcU8X9RIAmbjH6c5REuL6tSm/img0tIV76sZ25ld3jekC5g3PG57DXgGyNU+rdM/UtGxNdfNo6PLy7upMP1nqo98RfS6fFwNSBTs4bn02+yxzH13elTXirP8qD85pYVKPub58SO1cfkEeus5s396U9U7L7dXvw8rI2/rNELVrZq8v5VZ9U3tH7S4YdoYLPy8ujuLg4nRDfhUgnxlMgTTbTAPjzhyt5fM4GJlXk8NrlU+Peu/O9FTz99UZOnVjCxWOtcUE2vXJFAm0y+YXDYS0YJBO3VInp+4vrCVkqrG4K8tjCZtY2dxPDCyZkc/rYzLgHaW8TkycY5YO1Ht5Z1aHZHLmtRo4dkcHxozLItndnyCXgqigKm1qC3PBRJU3eCAVOE3fMLKI8y6Kdt14tLDaV+slfegRLJabX69WsiCQAmaj8Sdw2QEtA4ZZP69jSHiLTZuSOGYUMy7Nhs9mwWCx4PB7tswtqQ9wxqxabycAzp1ZQku2I6+GjV1NFYwrXfVLP2qYghw7N4HcH5mvJxleXtfPvJW1YjHD/sQMYnNW7pUliIEpfeSgkSSyBEifSJbV+7vummdZAFKvJwC/2zYmz4NQngwV6BZWMryi85folWoYKWv1R7v6ykZWNQYwGuGS/As4YnxdHOuU7egv1Syflcsq4XK0PqP549EFGn8/HGS9vwRdW+PeZQ8mzxJOTRAJw1fs1rGsJcdl+eZwxoVDrA9kX5beQZekh1d9qYrn3gD7tb0dia4mExFYLN31Wz4/1QWYMcXHjIaV9en7sSOyqAGZ/9nP885tRgCun5HLEsAztdZPJREVFRVotvguxp3OqPf380+gfJDEuz3l9sEP4gl71rLeihu5ezKtr2/nL101sag1hNMC5e2dz2phMrad0IqIxhY/XefjPkjY6u5QJB5Q7+Pk+OWCAF5e280VXrzwDqur59L2yqO4IM3uTl++q/XH2fmMKbBw+Ipv9Sixk2ZPzJAlS6u0L9b3TBXoVsp4PSgLWZDJpjirSskbUF9JjW6zTI5GIZgUu/Ei/P3Fd0hcMApoVoc/v58r3VaeW8/fJ5/wJORrHEc4hhXkOh4PlNe38aXYD9d4oDouB8ybm8/aKVhpMXIhvAAEAAElEQVQ8ESxGAz/fN4djR7i1dUFfiswSOU1n1Mz9X9Zo9u0VWRZKMy3M6wrUHTLIxRVTcrF1qUp64xjJgmuiQhEFlRQj+v1+XC4XgUCAaDQan7SPxfjjF42aQkwNrldQkNGtxjEYDEmvN8T3lk9Utwuv1PeCTlYMoUciv5Q2T5C6PUFvY9Nf3qPv055MlR+LxXhnlYfXVrTH2c5ajHDwIBeXTMrFbd32HtW9XXMpmk01BqmUgRtbQ1zxfi0Oi4GXzyjvV0uFrWFXBXn7EyhdVOPnj583MDDLwiPHl2qvO51OBg4cmFaL7yKkOVV6DNLoH1avXh3nQCfxRhHtSOzoq/Wt/HlOPYGIwuBsCxHFQGV7iEllDvKcZj5e24nJAO9dNAxbP53zJKEbi8WIxNQ2kR+t7eT72oCmsM22GzlsqJsjh7kpyehZbCQcuLe5QYQ4+iRkolOjnkPp5/JEq3CJ1em5haiTn1rYyGvL1eT4b6bkc+LYXC0xqxeoJHPGBLji/Ro2tnbHcM8fn8mZ43M0Li8OgHqnHOlhLuciSXiJt4bD4a2KO5p8YX7xZrxqfXCOlYeO7Rag6IsFZLzkXkml8O2NYyS+J/beMk7iHCR/61sCpUpBORwOTVSmX0PIOCXjM8Jf9fb6sg9RWev5qMPh6OG+KljXEuLFpW3Mr1LPywBMH5LJ2eOzGZLX9xYBMjYLq3y8sryT1U3xDkEmA+xVZOOccdmMLeruTS7XOZUF987Ct5U+/vFtMx3BGFaTgYv3yea4ERk9OPbWOJz8jnZUonpBpZc75qguF5k2I0+dVIbT0n1f7Azb9mTYUa0lCwsLKSgoSCfHdxHSifEUSJPNNAAaOgIc9JcvCEVjvHrZAUwelKu9N3t1Axf9ayHFmTaePL5IS8L1NjGJPTh0W9QISZBgWKIaaGuIKQr3z21h9sbuBPBehTYu2y9XUxenCt4ICTGZTIQiMd5b3sgbKzqo6erJYTUZmDnExcljMhlWlNWDZDR4I/xhVj1VHREyrEZum1HIyHxbXGBP32tdTxLF0kYCa2KFKAFNqSLTVxQms80ECGLmxg8qWdsSwmExcOv0QiYNzOwxKSmKwg2f1LOiMciRwzO46oB8rSLTZDL1sLCs8hn41ZubiCmqjdQBg7JUsqwo3DW7kQXVfoozLDx4VBHuXiT2QgwkaCcBPTl/CTZK4FbGTUh9Y0eA+75p0KryppY7uWJKLhk2U689CiUwDN2Bn95sEdc1B7lrTiNNvigui4HrpxUwfURBXPBR1D0xReF371fyfY2XvYrs3H1YIW5XajWaWJE2tXk44xXViuut84ZgJrV9zua2EL9+rxaTAZ47dQAluRn9Jn1y3r2RlGSBaFEn7eo+3YKtBVwT31/TFOS3H9VhAP5+bAmjity7LJnfl0XqjkJfA9G1nWEueVvt4/XvU8rIc8YHKw0GA2VlZWRnZ++Mw0wjAXs6p9rTzz+N/qGuro6mpiZtES/zV2JgSW/9J8oNCYzJ3BeKwePftfJxlwPMxBI71x6YH1f0mIjOYJSXl3t4Z2UbMUVNzJ08JpPTx2bR5Ivy36VtfLW5y6nGADOGuDh7XDYui4Fvq4PM2eRlSU23laDRoO53xtBMJpfacFqMWiK7r0pyfbGaBAGlF6RA7OiFU9ntds2VSBLV4tgj46QPzvXVkhJg7hYfd3/ZiMNi4JmTysjPdMbZWiYmEtsDUf7yVSNL61VOceqYTCrbQyyoVo//wIFOrpySh8tq7FNvZXGbkqJTUAv4vtzs4x/f1NGpUyKdt3cW503s5rs2my2uaLS389RDFNV6DikBW71zUSwWwxeKcfWHtdp6YmiejXsPL8Rpt2rXTu5dSXxDtzJbzj9V0lJ6TEoQU9YYvfU+T4b+toHprVBXj0ReKQHMZN/xhWI8s7iVzzd6CUW7jyXLZuTkMZmcMjqjR9B3W7C1IOXWLC2THfvHazt5aH4L44vt3H1YUYpv9h+99QXd0ehPAv7NFR08vbiVgwY6ufHggrj3rFYrFRUVce4GaewcpDlVegzS6B8kMZ7oVpLIK51OJ8tqOvjDZ2rrwFyniQ5/lIgCP5tUwDPfNQLwy8l5nDCy760zEvtu61HnCfPpeh+frO2MU5FPKFZ7kU8bko3datYKQhPVx7JNsdfua/wjMTaWGDuTOJ3M++LKCN2tXf71fRtvrFD59RUH5HPkUBdms1lzsNGPazK+cN/cJr7QOYDuP8DOrYcUad/Rn69e3KIf10S+mPhaqhjYHV/UaxwU1MTu/ceUsveALO01iQHKfqWITsZNlNWJSf9EJDtOadupFwaJU5TEnHsrFtXHzuU4RaWv55XS4lNs0lNtT9okJhY/Jo7fqsYgL/3Yznc16u/GaFALhc/cK4sRxZn9iodVd4T47zIP3272EIzG853yLDMnjMrkyKEu7dj0xyHHt6PtyFPBH47x5KJWPlmnrh+G5lr53UGFDMhMvp7sS6Hvjkoib2wNcc2HtURi6vV48OhihuTGc7FdJeLZkQn4rKwsysrKdsgaII3e0R9Olb4aaexxKMy0c+q+AwB4dPb6uPf2H5yH1WykriNIjSeqVZr11k9DkqISlPL7/RqpE2VLssmht4ehy+nk1/vlkKFTESxrCHLl+7U8uqCFzmBUs4BxOBw4nU7sdnucosbn8xEJBThqeAaPHl/KTQcXMKrATiiq8OFaD5e+XcOtH21mVUN8ALPQZeYvRxQzIs9KZyjGTZ/Ws6jGrwWnxNLb7XZjsagW50KCRB3u8/k0xU8iqRIiI5V6QpQSJ/9sh4U/HVbEuCIb/rDCHz+vZ+7mzh5jZTAYuHifHAA+WdtJja/7dakS1GNQponjR6pK00fmNxNW1DE2Ggz8dmoeRW4zdZ1hHpzfRqyX4I0oRCTYJ8FJv9+Pz+fTkv5yneV+CIfDBINBMm0G/nhoIT/fJwezEeZW+rjqgzpWNAbj+uXoz1OKDPSvJQZrpILVYDAwZ6OX6z+pp8kXpTzLyv1Hl3DgkBzt/vB4PFrhgM/n450VrXxf48VmMnDVlFwsCdfOarXidDpxOp1aEYjP56Mjop6jy2rsNSkO8HnXQmFymYMse/9In91u1xwbgKTjJIjFYnHqYRn/3r6zsyGOCakQDofjbBtH5NuYVuFEAf79fasWKN7ZkN/zrlKn9/Ue0C9WEpPioBbJVFVVUVdXt0uqR9NII400+gp5ruqT4okQNxixkI5EIvh8PsLhsFaFD5DtdnLFfjlcc0AeNpOB72sDXPl+LT/Wp35mF2a7+cU+WTx0bAkTiu2EY/DKsg4ufaeGdc1BfndQPk+cMpgDBrqIKfDZei+XvlPNf35oZ2KxlTtnFPDsKWX8Yt8chudaiSmwqCbAvV81cP5rVdw3r5W5mzrp8PQvQCEcWc5dXnM4HFowzev1agE14VahUEiruNePE6AlekWhA8QFP1NhSrmDQdkW/GGFt1Z2EAwG41QrwnkEWXYTfzlmoMYpX1/RgdFg4OeT8jAb4ZstPq76oJZ1LeEe1uHJIL3RRXksCeYih4ItwYb00/VeljaEtDVKsnnUZrNpvUiTBY6kdU0yi055TVrcNPpj/Oytai0pftBAJ4+cUI7VbNSO2efzacH4QCCg7TMQCGjXRs/hAG0NI/+CwaC23pAkan8SqYnuRluD0+mMW4+l+q64DejvIbmeer5R1R7ils/qOfOVSj5a59GS4uVZZv54SAEvnF7OaWOzdlhATAopUkH/G0iGZAHO1c3qs2lE3o6xUDcajdq13VV6jP6Mb2W7em+KQ5oeoVCI9evX09HRscOOLY000khjR0BiCtFoNGXbB1EnD8k288gpQynLMNPii2Lschl6bnGj1iLn7RVtcd/tjTNJzC/VGr7YbeH8vbN4+bzh3H5YGfuVuzAAS+oC3PNVE+e8tIFHvqlhXX17HCeQXteSvBZO0FfYbDZN0ORyubSkr9Pp1JLbwonE2UZilhLLu3hiNqePU4VTD81r4tP1XiKRiOaEKUg1n910aBk/n5it/T2/KsBlb1cDaiwocRuJ83DitRShT+JrUtioxx8OLeLhY4sREykFuOaDGq58a70WFxUuK+esL1aUQodURWxOp1Nrl5ksPp7MqUbuI3lNrkMyxx/9WPj9frxeL8FgUGtHKi6Tws9lnwLhG7KOEIGSyWTq0foGYHlDgFtn1XPdx3V8V+PXCoMfOa6U3x1UwMBsa5/4hC8U49nvWzn/9SoufaeWORs6taR4lt3ISaMyeOmMch49voyjh6uFkQ6Ho8e2pRhgVyTFVzcFufKDWj5Z58GAWtz7tyOLGVrgTKloDoVCW3Vn3BEuOy2+CLd+Vq85lv1yUk5cUry3tc3OgDwbdgTa29vZtGnTLncuTaN3pBXjaeyR2NTkZcZ9s4kp8OFV0xhd0n0/nPfUfL5e18RvDylnxgB1stIHMfUVXHrr8ETLbP2kobfpEetxSQonI7ISWHp9eTv/+r6tx/sZViPnTcjmqGHulPaZyeBwOFi4qZXXV3Ro1owA44tsnDo2i31K7NpE6A/H+POXjSyuDWAywDVT85kxNEOzIJIqPenZKNZAqXpGyt+RSETrEaOHjIOMJ3T1MwxF+NvcFuZu9mA0wA2HlHJgmaVHD6Q/f9nIN1t8TCpzctuh8RX/+n1YLBaa2z386r0aGr1RzhyfqyXWo9EoVV4Dv3lrI+EY/GxSPqePzeyVnEhvIkArhJD+oXKOoorXJxr1lWfrmoP85esmajsjGA1w9rgsLpysklr5jt6uUQiiOBqIOkbGOhpT+M8PbZoV1P7lLn53UAF2k6K5F+h73pvNZqra/DoL9RyOH5WpJd4DgYCmwNLb6cvvYsGWDm6d1UBFtoV/HleaUg0UjSlc/GY1Lf4oNx1cwNSBzpQVeHqbfrETSrTm7E0B5ff74ypZ5bO7sldPKiRWC+shDhXyDKjpDHP5OzVEFbj7sCL2H5yzTX1d+wJxmtjV49PXKsy/ft3Il5t8ZNmMvHB6ea+ftVgsFBUVkZWVlbYr2knY0znVnn7+afQPiqKwfv16LZElBXWJSXJRxyRyKgnsiTtNMBjEaDRS5zdw+6dVbG5TrdUvmJjHufvkx9kf69Uycizzq9R+x3Vdve5G5lu58qBSKtwKqxqDPP9DG0vq1LnAajJw3IgMTh2bqdmnV3eEmbPJy5xNPqo7uoNjbquRAwc6mT7IxV5Ftl5tmPVW6vq+4zJ3S+BPlNCJFunCS0Qpngi9XaLwdbFlFwWJWFYKf/tsVZOqGjcbePrkMnJdtqRztcDlchGNRnl3eRP/nN9MJAYV2VYumJjLEwubqPdEMBvhZ/vkcHxXv8qtBXLERSkYDPL1Jg/3zW0iGFEozbBw5t65PP99E41elZfOHOLiF/vmUJDl6jF3660Yxd4+FotpKimZd4Vf6a0oBT6fjx/r/Nz6eYMWoLpw33wunlyEx+PREv5yDaRoUvaRaGkvzklSCCgFAHK9xDFAzwn6oz7pjePplWOyHku8Fqn2pefg+jWd/I7nV3p5ZnErVR3d94oBmFBi57LJOZRl7rg+3YmQ65zMyh3i11fJkDhmv3mvhk1tYY2nbw+kwGFXBHn16I+K6LqP6ljVFOSGaflMq3Cl/JzL5aK4uFgrckpjxyLNqdJjkEb/EAgEWLduHRD/zNMrxhNbGgaxcMvHlaxsDGJATZzmOky0+NVn9H9Or6AspztOIU6UiQm8RBvzVNDPL/WeCJ+s8/Dpeo+2P4C9u1TkUwY4cTls2hy8tRZ0yaDnesJ7/H6/Nj6J7oGJClhxvwT4+1fVvLOqEwNw1QF5HDbU3WOcZV96RyGXy4Xf7+fH+iA3fFyjbdtlMfDymQP75CCYqCqXhLAop/Vxab0iWo/rPqphVVP3vG8ywMPHlTK0wKUlOEVVL+Ocyo5eILblwpn1xZnyeVGjy30j8Uq9yjvxXCW+LCIS4YjCa2TbyVrA6FvZJJ6LxJ4Tx2dNm8KzC+s1xydJiJ+xVxalCXb/qa6Xoih8VRXmlR+a2NwWRs++rCYD+5bauXjffErdPRPrIqyT36as6UTYszMTvtGYwivL2nnxx3ZiChQ4TVwzNZ/xxd2W7ltz2eztGPVtHbYFgUiM6z+uY0NXS4IpAxzcPL1Ai3n310VqR2FHx5ANBgN5eXkUFBTsVuHW/zLSVuopkCabaejx6/8u5v2ltZw0oZQHz5qovf74nPX8+cNVHDKigBsOyIgjH7IYlglX+hrKz0gIktiiiCWgqFX7GxgIRGL8/M1q2rvsEy1GKHCZNcXGwCwLv5yUw4SSvi3S9ZNYjc/Ay0uamL3Rg7i8DMq2cOrYTKZVuDAbDYSjCg/Oa2LOJvU7l+2Xx0ljsjVFciKZ6s3SW5Bo25gICdBJFZjD4cDj9fHgvGa+2KiqjX89pYBjR7i1oJTZbGZzi49fvrmFSAzumlmYdEz09uffbGznts/ru6xZShiSa9WO7c0f6nlofgtGA/zp8GL2q8hOScz1RE1/7nIfSIBQJnG9TaX0wAmFQnT4Qzy6oEU7x70Kbdw8s4wMU7eVlJDQ3pLB3lCMe79u0tS1Z0/I48KJuVgtatBZxl4S48FgkEg0yk2f1vFjfZDxxQ7uP74CFEWb/CX5L8UciUHoT9d7+Pu8ZvYttXP7jKKUNjvSxy/DauS5UwdgMRlSWgXpe0/q1Uv6QLf0DBWbfuhp6yXJXq3gYycllbcFbrdbI8WJx6VfmDy6oIX313QyPNfKfUcXY+4i0zsKu4tkSjV4b/1D9ZBg7fA8Kw8cXbLVz4NqVzRgwIB0cnwnYE/nVHv6+afRf3R0dLBly5YegTVFN99KklhUJTJHytwmamk99wpEYjy2oIXPuhxZ+mKtDhCKKry9soOXl7UT6GpMeNgQFxdMyCbXaWZpXYD//NDGykZ1PneYDZw4OpOTRmdqfZHNZjOr6r18ucXP7A3xwc48p4mDK1xMH+RkaK61x3NYiugk6AdoyVUpitMnVlMFJRwOR4/iVIEE5oST6dsb6S23JQhkNBq59I2NrGsOcu6EPC6ZUtwni3Kn08niza3c/WUjLf4obquRK6fk8cVGD/Mq1et0QLmDqw7IJ9dt16zfk8Fms+EPBHh1hYf/fN8CwL5lLq4/KI+8DAeBiMLj82p5b3UnCmqf78v3z2fGsGwtAJnK7lPGVl/AmIqzGY1G3l/dziPzW1BQA4c3H1rK9CEZmiJIAlUSHE7sCa4vetCvg6QgQf9eKl7TH0vJ3mwe9ecuQWbhkXr+LoqdVOsZSf4HAgHeXhvg1aVqX0aBtKy6eGIOzu3oH95fmEwmzZY1Go3GjcPWCgb0z5IzXq4kpsCzp5SRn8Sdpy8wm82aI9iuhL7gvC98X1EUznqlEm9Y4eHjSrR2Zb1hwIAB6ZY9OwFpTpUegzT6j8rKStrb27U5XSywE1sdGo1GrRjQGwjx1y/r+XpzN0+QJPnBg5xcf1Bygcm2IJnddiSmsLBa7UW+uKa7F3mWzcgRI7I4bLCDskyLJgbpT/xU5jNJiIZCoaRJSDk26Y+eCCk2e+K7Vt5drSbHr56ax8whbq2AFdDa94izo/BKsf3uCBs44/m12jmaDPD2RcNgK611UrW00xcf6qFPDuuxtNbHzbMa45K2B5U7uP2oCo0b63tyi0OVnuNJTE4/pwqn0CvEt2YDnqwnuewrFArFicXC4bDmGBCNRrX9SQxaX0wL3QUN8r1EDgTqfP9DXYCXfmxnWUNXW0ojzBzi5vS9Mil2J3ddSNbq8Pkf2lhaH9AKRkH9DQ3Ls3LOxHymDcrQrp3b3d0KUdyu9CIY2Qd0C6J2lvNhbWeYv33TxOom9XimD3Jy+X552pouEVJEKvdGYlFDqvjdthS1gNpO9p4vG5nbtW4qcJn457GlOK3dIqkd1b+8r5B1TKoi7O2FxWJh8ODBW3V4SqP/SCfGUyBNNtPQY1l1O8c99DUmo4HZ1x1Cea46Ia2s7eDov3+Fw2Lis19NpL21WSMh+p7Y+r7RMvEmBh5cLpeWxNvWCe6NFe08s7gNixHCMRiaY2HmUDcv/tiu9RucUu7g5/vkUJKRfEIXJJvA2sNGXvmhiY/XebTAaIHLxEmjMzliqBub2cDTi1p5e5VqY3762Ewu3jdPqwSTiU8/Acr/JwbIZEz06uZkx6gnM5IgjCkKT3aRU4Bzx2dx1rhuNajZbOaf8xp4d3UnQ3OtPHB0cQ+lkv78jUYj93zVxJcbOxmeZ+VvRxbjdnWTyr/Pa+azDV6y7Ub+fkwJA/Iy+pUcl/siUU0vxRX6ClP9+X6+wcOjC1rwRxQybEZ+d3AJU8qdcbZEEiAXSKC8qj3EnbMbqOqIYDUZ+O1BhRxUbteqNSORiKZu0qt13ljaxKMLW7CbDTx0bIl2H4nFjxBmr9erESQ5h3A4zItL23hhaTtHDHNz5ZS8lIHJe79uZM4mH8eOyODy/XJ7XJNEyOJOSLlAqlPld5UY9E1UxwlSKdl3F/S/GVFd6dVygrZAlEveqsYfUbj+oHyOGlOww5LYkpDYGUSvN2wLYT7z5S14wwpHDHVx5QH5ff5eTk4OpaWl6eT4Dsaezqn29PNPo/9QFIUNGzZoxX+iVJZCuWQqjcRnpfTdS/b8/Gy9yh+CUYVch4nrD8pnryJ7j88lotkX4d9L2rRWJw6zgTPHZXHiqEzMRtUy/T8/tLG+RQ2kuK1GThmTyfEjM8h02rT5IxpTWNEU4osNHr7Z4sMb6uYpAzLNTB/k4uBBLsoyLXGBRX2iP3G+1ydSpRDSYDD0GJNkLXkEepVy4vjqIcfwbaWPu+aoqvFnTimnOMcdl2jWQ68wtlqttAUVbv14C6ubVAX/z/bJwYjCM9+3EYlBkcvE9dMKGJlvSzkPBiIx/jG/jS83qnz3+JEZXLpfPijx98f6thh/+6pOs4KeMsDBZfvlMiDXHZfY1XMKKRaUsZLkcGJfbpPJxP2zKzXObTUZ+McJFQxwqZ+R5LIEKUWVJYp4UQuJMxF0K5sBLUgtBZ+CZNelv9ytN4W5FJtIAYGcs/BofaFEIBBI6ljkCcV48rsWvtzkIxzrHrMch5HTx2Zx3Aj3bukdKBxHfw6iwN+aAknuiWUNAW78pJ48p4l/nzJgm45jV/V81KO3Xre9odkX4cI3qjEa4PWzBmIx9Y0nDhw4MD3v72CkOVV6DNLoP4LBIGvXrtUsrsViOpFf6Od9g8FAJBrjqUXdcTWBzWTg9bMH7rLjb/BE+GS9h0/WxRdWji+ycdTwDA4od5KVsXWnHSAuGQ7dnE7is8mU9KKI1ye99P3EFUXhsYUtvL9GtZv+7YF5HDlSjWFFIhGNt6eKfdntdjo7OznztVqttQrAkyeXU+LqyRMS+U5iXEsKO5NBksXJ+NLl71RTqXO0sZrgpbOGYjVENIdIiQfpVfP6YkJJDspY+3y+OJGD7Fvinomq4USXHpPJhNVq1a6JcDe3263F+SQpLuecGLeyWq1aPFPiqVLwCGgx58W1akJcCn0tRgOHD3Nx2pgsCt29FwBaLBbq2/38d2k7X2/x4QnFx/QLXWaOGZXFmePzsFm6xSvSqkjcwfT/L8K7RM6ys/iToih8ut7LE9+1EIgouCwGLt8vj0MGp3bJgZ5rUL2bQbKiF8G2qqufW9LKK8tUx1OTAe47qphRRa7dUmiZqthkZ8BqtTJkyJAdYkOfRjfSifEUSJPNNBJx/tPz+WptExceUMHtJ+4FqBPHfnfPorEzyLMX7kMRbT0swqX/o/SbSKUq6K8iMhkCkRi/eKuatkAMm8lAMKpwyphMLphUzNPza3l/TScxRa14O3l0JqfvlYXTkjwgoz8+qfATm0VPMMoHaz28s6qDtoA6obutRk4am8Mxw1x8tLaD55a0AXDUiEwun5SNyWjQiKD0mtFXFur7cEt/ZKn26y0Rl2wchVy9+GM7/13aDsCJozL4+b45WgK8PRDlkrdr8IVjXNNV1anfhsvlilP+NPsiXP5uLb5wjF9OyuHE0Vna5BeIxLjuozo2tYUZU2Dj7sOLyHQnJ+Z6O0jpw+7z+TRipE966omzPhiuP+eWsJk7Pq1kXVcQ+sQx2fxycj4Om6VHJaFsb2ljhD99Xos3HCPfaeKW6QWML8+JuzeBODtxs9lMdVuAX79Xo1monzgmW7Mz0ieghawm2m8GAgEe/raZj9Z5OGd8FueMz04alPSFYpz/ehXBqML9RxUzIr9bnZXKbiexJ6iQosTgbbJe8okLlN0RqNsaEgPR0HORIJDigxK3madPG0wssn19aVLtZ1dgW6/F8c9vVntlJfy2+4L8/HyKiorSyfEdiD2dU+3p55/GtqG+vp6Ojg4tYSWQinQJ6ugVLXq+pHcmSvb83twW4p6vmqhsD2M0wHl7Z3Pa2MxeLc0F69tj/HNuPWu6egyXZJj5xb457FemFvTNq/Tz/A9tbOlKxGbbjZy1dy5HDHFiMxvjnq/BcJRFNX7mbPIyv8ofFxAcWWDn4IEOplU4KcvL0IJcMh86nc64IKao6iUYo1fVJwZCkyFRvZoqYCNzk6IoXP1BHetbQ5w2NpPLp5YmHWsJvOn3bTab8QfDPLKgmU/Xq4G8Qwe7OGq4mwfmNlPXZa1+0cQcThqd2eP6Nngi3DmngY2tYcxGuHxyLqdMKO5RUCoORx5/kBeXNPPq8nYiMXBZjFy8TzZHDHPjsNvj+KYE4MR6E7oDlXo+YrVaueHDSr6vDWjX+eHjSsi2xyfQ9Q5QepVWsu3p1Wx6lym9449sM3Gst7ZmSERvhXeJ7aukKCCVLacedX4jD35Vw/KGYJz6anC2hV9MymHv4t1rsZ3qvk4sDEkGuW5vrOjgmcWtHFDu4Obphf3af1/2s7PQm1NAb1hS6+eWWQ0MyDTz2Allff6ewWCgoqICt7t/XDSN1EhzqvQYpLFtWLduHUajsUebNhEz6F/Xz6eKovDWyk6eXtwat70bp+VzUC9tJfqK/hS1RbtU5J+s97KwyqfNsZk2I0fqVOSp9qPneInulBJPkqI4cfWE7vY9kvgVlbTFYtG+H1MUHlnQwkdr1baO107N56gx+XGJzVSxDX1M7KLXK2nydydVr52ay6FDMuI+nyzx3VuxbCJ6mwu/qQzw5zn1ca8dP8LNpfvlafsW5XYi35QWhaKwT+Qb+gLHRF4n4y4J82TKczl2aemnV7GLujqxlY1cS/kvdLfNFC7/XU2AF39sZ02TJMThqOEZnLdvES5j71wlEovxzqpOPlzjodYTfx87LQYOKHdy/t7ZlGTHc79YLNbD3t5msyXt266Pq/anbVB/0B6I8s/5LcytVMdur0Ibv52av9WCAEh9v/UlltffotZZ6z08MK9Z+/vSyTmcObF4lyWn9ejvumNHwG63M3jw4LSt+g5EOjGeAmmymUYi5q5r4pyn5mMzG/nmxhnku9Vk3W9fWcIbi6s5f98izhxt75WE6Cf0ZD3rJMkoQbxtgQQqsu1GLWn9l6PLGZtnZHNbiCe/a9V6QeY6TFw4MZtDB7uSBkITyWGi1YzBZOGz9R5eWdqs9Y20mgwcNtRFgcvCf5a0ElNgaoWbW2eWQTSsVfLp7X30xATiLQwheTWjfA6Iq+hM/Ozbqzp48juVxM8c4uLKKXlar/W3Vvt4amEjBS4T/zptME6bJc7+JZEwfrYpyINf1+GwGHnkuBIKXN0kobojzDUf1uILK5w8OpNfTMqNq5bUQ8iMEMNEUphMVZ5IKuVeAVAMJh6bW8ObK9WquSG5Nm4+tITBeY64nozRaFTtRb+4hZgCowts3HRwATkOU5xyP1mS2GK1ct37W/ixPsi4Ygf3HVtOKBjUFhTQs4dP4j1ssVi4+eNqvqvxc+WUXI4YlpGUTHyyrpN/fNtCeZaFR44riQugSy8m+Z2Iyl4C4InJzGTFJ9DdB0deS3Qd+KmhPwlifzjGJW+rBTKXTs7h1HH520yeU5HzXYFtVe1Xtoe4/N1aAJ4/rYxse/8rKgsLCyks7F+gN43U2NM51Z5+/mn0H4qisGbNGiKRSJwLjB6Jz0in09nDwlASxaK4TUQgEuORBS2aAnyfLmv1rF6s1WWejcZifLHRy7OL22gNqAG/iSV2Ltk3h4HZVqIxhS83e/nvD+1aoCjPaeLcCXkcNyYXs7Fnj+iYycrczR4+X9/Bd1VeRGRrNMCEUieHDHYzfUgWLqtqne71env0DJSiPui2GpQAYiJH18/5yRS/qeZe/evzK33cOacRu9nAC2cNIcdp1ZRHen6UjO/INXt7RRsPz60jpsDwXCtXT83jv0vb+WaLuo/9Bzi4/pBSbKjjuLwhwN1zGmkPxsiyGbnjyHKGZxu1fSYGS/XWkmsbvfxjXrNW1LBXoY0rD8hnWJH6bBK1vRT0Sr9HUYwL54oaLPzyjQ3UdPH/oTkW7j2yGKvZGFeImDiGiYpdvTuSqLOj0ahmYQ7x9q767SSO57YEqJIFW6XoJDHolLgOkuOSgo25lX7+taglLjBqNMC+pXYum5xHUR+Ci7sK2xpYlTG+58tGvt7i48IJ2Zy+V1afv787i0+3Z9/vrOrgie+2rRDAaDQyaNCguIRAGtuONKdKj0Ea/YfP52PDhg29KjQTHROlFaHMq19s8HD/3GYtGT0wy8wjx/e9UCgVttVOudEX5bP1Xj5e20mTr3veHV9k48jhGUwbnInbYdMU35IEFdjtdo2vAJprovy/xCMlwStjoW/f0+PYDQb+Ma+JT9apyfFbZpRxwACbxnlSJaQTRRA3fFzL8sbuOfqkUZlceXCZxumTObxITDWZnXUybG1OvPD1Kpp16nynxcCzp5Tg7ipuSzwXPac2GAxaHBnQYqvCi/XjHIvFtCIE4faJ46r/W8/19HHVxGS4vmBW34pKv71vK328+GO75nRlMxk4aribU8dkkus09zpG31X7eXlZG6ubQuhMgTAZYGyhjXPGZzN5UA6Adix6xx4pfNavg/RJf2nXo/9v4ljsKCyq8fP3ec20+KOYjWqx9MmjM7W4+dawPcn6/nCzZfUBbv6sXmvvOnWgkz/OLN0thZaw7cWW2wuHw8GgQYPSyfEdhP5wqn75fN12222aylT+FRcXx70/atQoXC4XOTk5HHbYYcyfP3+r233wwQcZOXIkDoeD8vJyrrnmmrgH3Nb2m0Ya24oDhuax94AsgpEY/567SXv94OFqb515m9pwu91aYM7pdGr/7HZ7D5vnQCDQg6yIykV6rgj6Y5VxzAi3lhTfq1BN3t/zRQ3tgSgV2VbunFnIrdMLKHGbafFHeWBuM7/7uI7VTapFoX6/Us0fCATw+Xw9Hvp2q5mZg2w8efJAfn9wPsPzrISiCh+s8fCfJa2MzLdhMsDczR6ue28TncHuHuv6yUtfvSeqEFH26BUbMp7649P//s1msxZgE5w4KpMbDynBaIBZG7z8+ctGTY106rhcCpwmGr1RXv2hCZ/PpwX8gB6WNTMqrIwusOEPx3h8YUvce2WZFq7usmx+c2UH32z29lCbCKQYQKpyE8c1EAhgtVoJh8PYbDat76VeuSPnHQ6HCQf9XLp/AbcdWkiWzciGliC/emszby1VKz1NJhMRxcAD81p4epGaFD96RBZ3H1ZEvtuq2a2KlaVYbMn2nU4nH6zu4Mf6IHazgasPyMdoMGjBaCCOyCcqakQFbzabtUVLXlcvwmQJ11ldAfoZg109Et2hUEhLikciEe2+jEaj+P1+fD6ftm9RHAmEFBuNRu0+SlSg/xST4tAdVO8LHBYj54zPBuClpe0EY9uufE6l0N8V2FaLoEXV6m/DZGCbkuIADQ0NNDU1EQgE8Hg8tLe309zcvFuIbxoq0rwyjT0JXq9X4zRWqzWOVzocDs16MNFaWj9nigohWQBU5hO72chvp+Zz9QF52EwGFtcGuOL9WpY1JA+aCk9QFAWjwcDMIW4eP7GU08aqVurf1wb4zfu1PPFdCyHFyDFjCnj0hFKu2F/lW82+KP+Y28AFL63j3WUNhCPxPMsYDXHQACv3HD2Q504dwGWTcxldYCOmwOJqH/d/3cCpz6/l1o+38PGKeqIYNV4g6nEgLonqdDrxer2a84kkzaUwTnij2BfqAztinZkIPT/cb4CDoblWAhGFV35o0QKvfr+fcDiscRLhU3r4fD78fj8njc3hrplFZNqMrG0JcfNn9Rw/0s3lk3MxG2F+lZ/L3tzEutYoH6/t5ObP6mkPxhiSY+GBY0oYmonWMzHZnC182mw2M7zAxd+PH8ivphRiNxtY1hDkN+/V8NzCOqIxNZiqP3av16uNi9j5N/pinPXftVpSfPogF/84rgyrWR0vh8Oh/RfQxlyS4larFbvdrrkZ6F2zJOgs5yFrhMSkuLTQ0aO/Ti/Sl1MCuMFgUFsLyP/LP3FH0lufh0IhIrEYL/zQytmvVHL3nAYtKW43GzhhVAbvXzSCPx5a9JNKim8PZG2yplnlQyPy+97rUN+jfVdje4rOAc39YmBW37i4HrFYjM2bN+P1evH7/XR2dtLa2kpTU9Nu49h7OtKcMo09De3t7bhcqro7MVYpXFPssUF9biUmko/dq5DfHpin/b2lPcLGlpA2h24L+pPks9vtcf11C5wmzh6XydMnlXLrIQVMLnNgNMDS+iD3ft3Eea9s5qGvqllb19GDH+kVx36/H7/fj9fr1TiHtHzRF6iKC5Pdbo9r8SPcw2KxYDGbufKAfA4f6iKmwF2fVzNnQ0fcfhOh5zyCvxxZwnGjuhM0b63q4Mq31se5SOkLQQGNt/n9/j5dj94S50ajkRfOHMQvJuVqr/nCCme8XMMrP7Rozi9Op1MbE3EYFYiqXlqMCqcMBoPaPynC1CfF9bFIsW8HdR53uVwan5XXJOEs97PwOofDodmSx/FDg4HPVjdxxfs13DWnkfUtIWxmA2eOz+Wpk8q4ZFIuuc7knK26I8RfvmrktJe2cNsXDaxs7E6KD8g0c/VBRbx5djl/OaqMccUO7d4C4mKVYume2E5HClHtdrs2xlardafFKIMRNa79x88baPFHKc+ycN9RJZw2NqvPSXEgTvTV72PoY3ytpjPMXbMbtKR4ocvEjYcO2G1JcafTudtig36/ny1btmhrlY6ODlpaWujs7Nz6l9PYLvR7NTd27Fg+++wz7W/9w3nEiBE8/PDDDBkyBL/fzwMPPMARRxzBunXrKCgoSLq9F154gRtvvJFnnnmGqVOnsmbNGi666CIAHnjggT7tN400thUGg4HLDxnKZc8v5rl5m7l0+lDcNjMHDVeToeuag1Q2tpPjSH2/SaJOKjVlApFAi/TZE1Kqr6DTWxv2BrvZyKljsnh6cSsNvijlmWYqOyI8OK+ZPxxSgMFgYP9yJ/uUOnh7VQcv/9jO6qYQ135Ux4whnVw0MYcBeRlasrE3CIGzmE0cONDF1HInyxqCvL68g+9q/FpvFqMBljcEueHjOm4/tIBcZ3c/HkCrwhQFuQQ09SRHyDl0WxeGQiGtX6QUHYhFuT6hd8QIJw6zgbu+qOXbKj93zG7ijzOLMUZCnDchmwfmqtaSx47OAV1ANFE1bjQY+PX+uVz1vrqdb6v8TBnQnYifOtDJyaMzeXNlBw/Oa2JYvoMiV0+iC/H9ioTYyT0gAUi9VaiQIf3EbzabtQR7OBxm6uAshuZauX9uM9/X+vnHty38UB/iwn3z+cucOlY3BjAa4DcHFnPCqCwtCCiqHKmClYC72E1tauzk8fkNAFy8b552TvpgbzQa1fqMe71ebRvyntxLzT71v/nO5L+Tus4wyxuCGFAtRfXQL5y2VgGbGPySe0b6jUoRiNxzeuwse6LthRDjvhzbEcPcvL2yg+rOCP9d3MC54/uu5hHsTlWPLFa3Bau6LLDctu3r21lXV9fjmHJycrZrm2lsH9K8Mo09BcFgsE+BQgmKRSIR7Z9wBlFqSJJP1MlSvKZ/xh821M2wPCv3fNlIVUeEmz6t72Gt7nA4erQoAXBajFw0MYcjh7l5elEr31b5eWdVJ7M3ejlv72yOG53DSeMLOXSIm4/XdvLysnbqPBGVey1r57y9s5k60NnDuSjbbuK4kRkcNzKDOk+YedVhPlvbzua2EPMq/cyr9OO0tDC13MH0wS72q7B1O+l0FamKAkdv3y3nInxFkt/yWeELkijXK4f1yVpJ+hoMBi6eXMgtH1fx9so2Thjp0hT3iQrmZApqUOf3iWUuHjjazJ2zG9jUFuaWWQ1cNjmXvx1ZzF++aqLWE+Ga96s0pdaBA51cMzUPu1md6/RJYjk/OT7pfynH4nA4OG18HvsUm/nn/Ba+rw3w7PetfLXZyw2HllHm7G7dI+puaXG0uNrLjR9uIdIVozt/Qg4X71es9REXlYtwFf36xWq1avwx0cVHv+YQhZY4Acn1EGW2XsG2PdBf162tefScxGAw4IuaeHhuHd9s8WpjASq/PXtcFkcOV21PjcToXzfrXYNQKITdbtcKS/qDtkCMBm8UAzA819bn7+3OFjXye95WVHYlxsuz+l4IoEc0GmXjxo1xr+Xk5KTb9uxGpDllGnsSQqFQyp7TidDzFFEhizX2kSNzqfNEeOEHtV3hbz+u44FjyxmUqfSrX7AkLvsTa9A7b+qdkExGA/sPcLL/ACcN3gifrvPwyXoPzb4ob67s4M2VHYwrsnPUMDcHDHRiNRmSJiUtFouWxNX3qxYOZLPZtOS4KLOFx0g8TebWK6bkYTCa+GRtB/d+3YTJaOCQYTkaF41GoxrvlJhvYtHMr/c3MTzHzAPzVEHOsoYQZ72whmdOHqAds773uR5SPNjbvCftK5Ml9yQWeM4+RZw0LpczX9iAt6tn9rM/tPP26k6eObFYS1KLcEWukcS1pfe3vC4JcOHd0rJR4qCSWBfuDmrcT+K8ss6R8xL+JnE++U5iWyGr1YrZYuWbLT6eW9TI5rau/vJmA8eNzOCk0Zkp3bJ8oRivLm9n1gZvXH97gCybkUMHuzhrfDYZtm6X1f5wSuhu+SgtNYUvy3XSY0fxhg0tIf72TZNW+Hf8yAwumpiNzbxtMbTEtWVfkXiPJIMnGOX2zxvwhNUxMRvh5kOKMUZ3n2ilL7mZnQmv18vatWvjXquoqNhNR7PnoN+JcbPZnLIC8pxzzon7+/777+fpp59m6dKlzJw5M+l35s2bx4EHHqh9d9CgQZx99tksWLCgz/tNI43tweFjihmS72JDk5eXFmzhF9OGkO+2MarIxap6L0tq/Ry6lX62MlFK4C3R6lmUKYqi9CCvQt6SBTCEQMViMU4Ym8PrK9pp8EQ4e1wWry1vZ2G1n3dXd3JCV+WhxWTgtLFZzBjs4rklbXy2wcvnG7zM3eLjjL2yOGl0JtkZyftk6/epPx6DwcC4IjvjiuzUBYy8sKiBLzd5taquja0hfvN+LQ8cN5BSU0Cz0wmHw3g8nrgeMNJXRh+oFMikC2jBPuhOGuuVzHJcUyvc3H5oIXfObmBJrY/rP6zi9hmFHDrYxdsrO9jQGualH9v42YTuykypnBWyaTabGVFo5fRxOby0tJXHFrYwvrAEp1W9LhaLhcsPLGVtS5hl9X7u+KKOR08eglGJ9CCrwS4b8sRKylgspiX29ecr1vN6iL2TJLODwSB5Lgt3HlbEa8va+M+SNuZs9PDVJg8xBTKsRm48OJ8pg7O1qlcpUNAr7SVZbzKZ8Pp8PDC3kUBEYXyxg6OHqeOuX8Qn9jBNRbADkRidXYQ6lWL8843qPT+hxE5+l1W9EOTtsQyS+1iOS19k8VPrJ54KsiDtS2W12+ngkv2LuO2zat5c0c4JY3LIMPc98JloWbqrIQvQbanC3NKuLh6Kd7A6Ky8vr8cCOo1dizSvTGNPQV+Dl0CcMkKKBgV6K0yIn0f1/Z4BBmVbeeDoEh5Z0MIXG708t6SN5Q0Bfjs1n5LcjK3OlSUZFm45pJDva/08+V0rW9rDPLKghQ/XdvLLSblMLHNz+oRCDh/m5r3Vnby2vIOqjgj3fNXEkBwL50/IYVKpPWnApyTDyqmjbZw1PodVdZ3M2eTly80+GjwRPtvg5bMNXnIczUyrcHHkqFwGKmri1e12a2pfme8lUatvZyMBPKvVqo19omW2flwT/95/gJPhuVbWtoR4fUUHP9tHLaJKFszScznhdlJEWJJp5W9HFfPg3Ga+3uLj4fktHD86m3uOLufq97bQ2hWQK8swc/l+OVpSXM5DbwkaDAa1wGEibxDlfLHbwh0zCvl8g5cnF7WyviXEZW9s5NQxWVywb752j0gi+oPVHTy6sBUFtej1+oPymTaoe92jD15KQFaCvxL0kvMX1Teoc75+TMUCVLaT6BCVCn2do51Op6aM7y/WNgd5bGELq5vir+2wXCu/nJTDxPKsuHvnp6wIFnt9Ueqngqi55Lf5w2ZVkVKeZdHWQFvDzrD+7A+2p+BVURS2tG27YjwV8vLytv6hNHYa0pwyjT0FsVgMj8fT58/rE3OJMTWj0ciF+xby1soOvCGFcFTh2vcruXFaPpMH9P6sTyyU29YYjD5BnljcVegyc+7e2Zw1LoulTVHeWd7Coho/P9YH+LE+QOZ3RmYMcXHC2DwK7d3f08c1RcAiXEHf/lK4pLg5Cq/U27AHAgFsViu/m15KTFH4bF0n93zZiAGYUu7s0eNdv13939FolJlDMxiUbeGqD1UnyAZvlFNf3MJLp5VoMUp9YlxU0uJAqd+P0WiMszOX4oBk10xRFEwmE4qiYDMaee3sQTy5sIk3Vqjq99ZAjJNfruGaA3KZOTQjaTtCETF5vV7NMUgEX4nrEX0LSnEQikajGj/RF3/qxUP6MROFtexbEI0pzN7o5blFDVR1qOPhtBg4YVQmJ47KIMPWMyEei8X4YpOPt1fVsbEliJ7JWU0wscTB+XtnMyjHqrV31HPc/kK+J+cjx7+trQV7Q0xReHNFB//5oY1IDHLsJq46II9JZY6tf3krSFxbpoIUSPQFkZjC3V81Ud3ZPQ4XTcxhr9KM3corf2pFbTabDbe791xUGtuPfkeD165dS2lpKYMHD+ass85iw4YNST8XCoV44oknyMrKYu+99065vYMOOohFixZp5HLDhg188MEHHHvssdu0Xz2CwSAdHR1x/9JIIxEmo4FLpw8B4MmvNhDssoCcNEBVti6u7Rm0EcWOWKoLhADYbDbNclCS4lI1Z7Va4+yCEi38BHa7XUuyOp1OMhw2ThurKkRnbfBw4YRsAJ5Z3MqG1vjAQK7TzNVT87nvqGJG5qtWkM8taeNX79YwZ11r0oCOfn9AD7JiNpsZlG3l94eW8tTJAzh5TBY2k0rAOoIxfvH6Jp5Y0EiHN6ARCCF0ct5CBiQQI8QIuhXUqSwjE1+Tv8cX27n78C6ryuYQN35ST4s/qgUw317eSk1nvCJbqjDtdrtGvk8f46Ykw0yTN8J/l3twOBwamQsF/PzuwFyy7UY2tYb42+xKTXku11uCsRJoFNtGGU+xbNJD+gjp7yFRfkF3ADcWi2G1WDhtbBanj1WT/GLvc/hQF+OK7Jq9kthi6r8PaP0ko9Eon20K8mN9EJvZwBX752iKrmQqa7l/UyUzRS1uNxtwWbr76+jPR/qczhji0my9UlnB7ggkq9b8KarFBbJATbQqEnt4UcgFAgH2LTJ1/6YXNfZrP/oe9rsL20o2m7rus8HZ26bqSQaDwUBubu7WP5jGTsX/F16Z5pRpbA+SFUbqIQEYp9OpcUKZG8RmUpQYojwQVbn+O0CPZJjDYuTaA/P53cElWE0GFtUEuOqDWn6o7ntAdWKJg4eOLeHSSTm4rEY2tob5/af13PV5LQ3eKHazkdPGZvH0SWWcPS4Lh8XAhtYwt3/RwHUf17Gk1t8jsCT8x2AwMDjHyuVTS3nqxFL+ckQRx47IINNmpNUf5Z1VHfz6rU1c8nYNLy33sLK6VeNd0pJEb6ko/xWumWzcDQZDD16QaBloMpk4p8uZ5f3VnbQFonGKFoHwNjkfURfJ+drtdnIz3fzx8AFcOCEbA/DuyjYueX0jrV19/0wGqO6McM2H9axpiWjnJ9xLOJN+38mKDeR+sNvtzBzq5tHjS5lW4SSmwKvL27n0zc38WB/QtvvYghYe6UqK20wGHjyqmIMqXJoqJxqNasoffaBaOLQUc4rVpbSOEujXEeFwGJfLFRdo3l7IWkwC3P1VnH+xwcPP3qzimg/rtKS4yQBTyx38+5QyHjymhDGF9h7cRb+O+ylCijLEqlRgsVhwOp3YbLYe7Yp+rFET4yPy+nZuyX5DuxqyFtsWtAfVwl4DUJa5Y4ouMzIy4tZ0aex6/H/hlJDmlWlsH/x+f69FWmJHrec14kgoc7YkykU1fcP0Uu2zwajCnXMa+WhtchtfmU+kCE5cC7cXgUAgabzAZDKR4XZx4KBM/nhoIU+fVMaF++aT7zTREYzx1spOfvbaJm6a1cisde2EokpcEanZbNYsivVtD+12u5YUl9ilnFckEtHme/mv2WTkiv1ymD7ISVSBe75qZH5V8vZ4ia009XGYoXl2/ntqKeJsHYwqnPJyDR1+VXwjxYciDgqHw8RiMY3nyVwei8Xi5nJxp5L+11IEJ2sJKSwVV5+f7ZPDC6eUYjV1c8oH5rXwy7erNQfQxNac0spIuEYy6JPi0N06USztrVZrj/tFRDkOhwOHw6EVX0psLxKJYDJbmLXew+Xv1nD3FzVUdURwWY2cOz6LZ04ewHl7Z/dIiq9pCvLHz+s59aVKHpjbzIaupLgBtQDyxmn5vHF2BbceUsjI4gytEEHGakcjEon04Arbo1Ru9Ea4+bN6/vW9mhSfUu7g4eNKdkhSXOD3+7Ve6XrIekXWCfp2RamKZBRF4ZEFLSytCyB33f4DHJw5oWC3JsVh+woudwby8/PTLkS7AAalHyXPH374IT6fjxEjRlBfX89dd93FqlWrWL58uVYd+95773HWWWfh8/koKSnhrbfeYvLkyb1u96GHHuLaa6/V7IYvv/xyHnnkkX7tNxluu+02br/99h6v96X5ehp7FoKRKAf/9QvqO4L89dTxnLR3Ea99tZSbPq0n227kP6cO0B5IUkmoJ1nJAjw2m01TaJpMph6f0SuLoWcyTw+7XQ3KtLR38ou3amgNRPn1frksqPazsNrPgEwzDx5Tgr2rD6DYAEWjUULhMF9u9vPUwibNJmbvYjuXTMphUFeSKdk5iIWOTE4SgJTAl81mo66lg7dX+3j1xxZNQe60GDlxdCbHjXBraiR95Z+QOwkk2mw2zWJcrHb0PSQlMCy2PfqKSD02twa57v3NNPuiFLpM3HVYEU9818Z31T4OHOjk9wcXxJ2HJOr1+1tS6+eWWQ0YgL8dVczI/Phgy9K6ALfMqiemwBX753LS+MKkk3diRZ0o5HuDjIUE99xut+ZEEA6HsdrsPPx1DW+vUhfNeV19PQEmFNv57dS8uL45idWW4lxQ741yyesbCUQULtsvj5PH5mjOBNBtdSnEWyps9XZIeiyu9nDd+5UMyDTz2AllPc53eUOAGz6px2Ex8uIZFZgNuyYxq78G/58U5JIEF5vcZFhWH+DGT+sxGuCR40oZ0Aely0/FSj6ZLdjWEIvFOPG/lSjAtVPzturg0Vfk5uZSWlq69Q+mkRQdHR1kZWVtF6f6/8Qr05wyje1Bc3MztbW1Sd9LtJpLNWdJoE4s1PWfEcWIcL9Uz9lNrSHu+Uq1Vjca4IIJ2ZwyJrOH5bkeegvDaDRKsyfIS8s7eW9lGzEFrCYDp47J5NSxmZraOWy08vx39by3upNgF0GcUOLk3PGZjC7o7isYjUZxuVwaD5SAZDgcxmAys2BzB19s9PDNpk4CkW7+MTTXysEVTg4e5GJAbvf3RUkjDkX68TSZTBrnFCcjvbpBeIveBtPj8fDbj+pY2xzitL2yuWhCzxYmwqElkb214NYLP7Ty4o8qlzMa4NoD8ynPtHDPV43UdCa/Lon3SF+UGxIMjcVifL2hnYfnN9PsU7n+kcNc1HpiLK1Tt5HjMPLEyYPJc1u1e0y/D1GU6c9NgsgSJJPCVvmsfE/GRyxSE7+XiMSe8MnOVdY628LtQpEYLyxt58O1nfjC3feU02LgmBEZnDMuC2uC5aRwZLkvdmRyf2dDCgcSCysS8YdZ9SyuDfCr/XI5ZkRGn7b7U+DW23ocS+sC3PRZPSVuM0+eVLZDjmXQoEFpZc82Yk/jlJDmlWlsOxRFYdOmTSkLLpOpbhPjClKQKUpn+cxpL22J41sA507M46wxrpQJmv5aqEuMT9q6RCIRrchREqqJCclk5+B2u2nv6GRxjZ9PNviYX+nVxCOZNhOHDnZyzMgshhdlaIWUEusKBoPaNvVthfQW8/qxFB4mseBAMMQD37Yye0MnZiPccUQ54/ONWiwnEVpsVsdvZNtnvLwljo/cc3gBexU5tWu0o+daUY3rx9jhcHD7x5v5cosuhgnccWgBE8vU4grhzDJ2sg0RQkF3a0S9kl24sZ7PJbPZ1scchbdInDIcVfh8Qyf/XdJCbZfoKcNm5OTRmZw4Jocsp1W7tgCtvgjPLmpk9oYOOoPx91Kh28wRQ12cMjpT43uJVv47G1sbi75iziYvj8xvxhtWsJsN/HJSDocPde+0ZKrck4DWZqm/eGNFO88sbtP+LnCZ+McxJeS67f2OE+4M/FTipmazmREjRqTdLbcR/eGV/UqMJ8Lr9TJ06FCuv/56fvvb32qv1dbW0tTUxJNPPsnnn3/O/PnzKSwsTLqN2bNnc9ZZZ3HXXXex//77s27dOq666iouueQSbr311j7vNxmCwWDcg62jo4Py8vI02UwjKZ78cgN/+mAlQwpcPH/OSOobmjjrlUqCUYV/HFvCkBx1Akjsp6Lv75cMQhRT9c5zOBxxypJUEOL09qoOnvyulQKXib8dWcw1H9bR4o9y1DA3v5mSlzLxFIgovLqsjTdWdBCOqcG440dnc/GkQjJsxrigk91uJxgMamoQ/f715yVqnLZAlGve3az1agM1UHr4MDcnj8pgUEGGRngDAdVuXawURTUt2567xcfwogwKbN09goRY9WZlY7VaqWrxcfOsemo7I+Q4TFw6KYe/ft1ETIF7jyxmdIFNu376aydEPBqNct83TXyx0cugbAsPHlOC2RhPKl5Z1s5zS9qwGOGBYwcwKCs+sCdjp3+0JptcRf0lVZ6CZAS4Mxjlr1838X2Xe8HZ47I4a1wmszb4eHxhC8GoQpbNyO8OLmJSmVOrbhULKKkOjikKN39Wz4/1QfYucXLnjHwt6CqB4N6srpORts83eLh/bjP7lDm5a2ZRD3L0zwWtfLimg8OGurj6gPyk290ZkP722xo43Z3oCxm7/YsGFlb7mVru5Kbpyfvi6bGtFuY7A/1Njm/qatcA8MJpZWTZd4yyZ+jQoXHtBtLoH3ZEEDMRP2VemeaUaWwrYrEYW7ZsSWp5abFYtKQh9C3JI041qZTQeu6WDP5wTLNWB9i31M5vp+an7MOX7Jjsdjsrazt44rsWfqxXfxf5ThOXTilixtBMLfjX6o/yyrJ2PlrrIdwVrZxU6uD8CdmMKcnoYW0uyVJpIxQIBNTzCceYX+nlk9WtLKrxa8WYAOOKHcwclsm0CjcOU0yzH9fzRVGmiwJfAqG9jbWc98JqP7d/0YDNZOCpk8rIcXSPk95mUhLj+mJT/TEoisLrKzr49/dtKKg8ORRVsJoMXDUlj8kDHDy+qJ1Z6zrirksyy3uxsdRDiisjkfhWPy6XC7/fT2cgwr++b+WjtfH34Yh8O/ccVqAFB2WOFgWZbNPlcmlc0e/39+B7iRwxsRd8IpJZdCaeiyiH9N/f1kRosy/CYwtbWFAVf/8UuUyct3f2Vovu9P1Dd2dbmm3B1sZMURTOfrUKTyjGg0cXMyyvdxX2thQ57ixs67G8v7qTRxe2sF+Zgz8cmpxP9AdWq5Xhw4enlT3biD2NU0KaV6ax7ejs7KSmpibps0//vO8LJ4T4Offhb5v5aJ3KE0wGtPlyxhAXV+yfh8WU/BnXn2RSss8mm6fEdVJvey7nZTKZNJ4hccW69gCfrvfwyToPjb5u/jWu2MFxo3OYXGzGajJoyWvhmZIYFwW2JFhlv4nHq/Xftli549NKvt7iw2I0cPvhpYwvSB2n0M9XiZzp0rer42ylL9k3mzMmFBIKhXA4HASDQa1NUH+QeOyJIq/Ez9W2h7nsvZo4njQy38J9R3WLCdxud0obfxlD/fb1Ait9q0mXS3VoDYfDPe4H4YjhqMJn6z28urydBq96TbNsRk4ek8kxIzJwWrqThla7nZcXN/DBmk5qPQm29hYjUwc6OXdcFgML4u26d1ecTAo15Nr2B55QjMcWtDB7k7oWGJlv5doD8ynN2HGtYXrDtnKveZU+7p7TqNnYmwxwzxHF7FuR85OJ2f5UCj8LCgooKira3Yfx/xa7LDEOcPjhhzNs2DAeffTRpO8PHz6cn/3sZ/z+979P+v60adOYMmUK9957r/ba888/zy9/+Us8Hk/K6oit7TcZdgbhTuN/B55ghKl/nkVHIMLth5exb5GZ2z5v4LsaPxdPzObcfYs0+xfof2WXKFX0PfX0JAfie4oDml2J2Jr7/X6CkRiXvF1Di19VjZdkmLl1VgMKcNthZUwusfRQdUB3wK66LcCzS9r5erM6iWZYjZy7dzZHD3djMvZUpghR0L8mSg19st9gsvDn2bXadgVGAxw8OIOTRrkZlmvtoU4XNYvFYuGV7+t5/LtWhuZaeeiECmKRUNJEczLIcbb6o/zxiwY2tIRwWY2MKbCysDrA6AIbfz2iSFMoJYPRaCSgmLnolfV0BGNcNDFbs68XxBSFO2c3srDaT5HbzBOnDsEU7SZS0lNdrrMotY1GY5zdkNPp7E7QY6C2M8yALKsWrBWyuaUtxJ1zGqntjGA3G7jxkFKmDc7QFgKbW4PcNatas9M/dWw2lx5QQjQc1CxtZEHx2g8NPLqgBZvJwBMnV1CeqwaFpVBBiLLci9FoFLPZrBEDl8ulFRMYjUaCwaBWKDBziIvfHliAyWTS9hsIRznvtSp84Rh/PryIcUW71l7wp5QM7g/6srDc3Bbiivdr44o+UmF394BMRH/JplSVmgzw9rkVO+QYTCYTo0aNSgcwtwM7i1P9f+GVaU6ZRl/R1tZGc3NzDycZCcQlqlL6AmkDI1xMtiEcRLaTyLnEUtPv9/Px2g4eW9hKKKqQ5zRxw0H5jCnsnqdF1atXULQHony01sPpe2WS0RUYm1cV4OlFLdR3BaHGFNj45aScuORaR9TMswvr+Wy9R1PzTBucwdlj3QzMtsa1DInFYpryWwK60hfS5/MRMlj5elMnn6xuZVlD9xxvMsA+pQ6OGJnD/gOc2EzdtvKSKJf+7H1ROcj+FEXh+k8bWNkQ4KTRGfxi3+4WHIk8I3G+Ffv7Tl+Ah77tDmAdNczNeXtn8/dvm1lYrX7+lDGZXLB3FrO3BHjk2ybtuvzx8HL2KnJoihvZZ+L9orf3lqCxvlWLz+ejtjPMb96rIaijwdOHZHDF1GJynWZNES2Jb30far0DlLheCVdRFEVT/uttSIPBIC6Xi3A4rAWxAU25pXe4EqciPSRYL/uSItn+YEVDgMe/a2F9S3wAb1S+lUsn5zJ8K0lg/bH8f+SUsPVnS3VHmEvfqcFihFfOHJgy8SHYHnXTzsC2BGgfXdDC+2s6OW1sJhdNzNnuY8jJyaGsbMcoz/dE7OmcEtK8Mo2+Y/PmzXi93jgek+ikkioBmgqi4m4PRjnlubXa60VuE43eKDFFdSm8dUYJNmN37FLvgrm1eENvwgWJIUmBoVhtp4rbSSwssRBAURQUDPzYFOXdFS1xKnK31ciRI7KZOcjG4DyHtj9pN6dv+6iPxcjY6u3rZb8Gk5k/z67j681eLEa49ZBC9ilNXnivLwhMNo/e8UU9C6q7Xzt0kJNbDh/YQ8DUn/k3GXeRmJ7e0VPikrLtW2bVs0TXUtRogEdPrmBIjsqZElX9yWy2gbgCA1DXJWJxHwwGNaGQODpFo1G1JVFUYfaWEP/9vlFrqZfjMHHK6ExOGpeP3axea7PZzPzNHfxncSOrmkLatQZ1XTCm0MY547IYV+zQzlXimMJXd1cSNFmRa1/wY32A++c20eiNYjTAWeOyOHOvLC2WvyuwLX3S1zUHueGTeoJRBaNBbQ168cRszhifu01FHzsLP5Xiz7QL0fahP5xquzT5wWCQlStXUlJSkvIzW7OjkH4eeshCPtUPoy/7TSON/sJtM3PBAYMAeHFJM2azmX1K1QDhkvoggUBAI0gWi6Xf9hrJCKBUKII6MUr/FiGD0qtaX0VnMxs5ravP9CvL2hlbaOeUMerff/uyls6ouUewT+zLo9EoxRkWbpyWz58OK2Rwjo3OUIzHFrZwxfu1LKlVSZeegArBiUQimEwmbaLQ9/JzOp04bBauPyifY0d2P3TKMi3EFJi9oZOrP6jl5s/q+aEh1KMHdSQSwe/3M2NELhlWI+tbQjy/pEUrFOjLJCnBthyHibsPK2JskR1vKMYPtQEsRljZGGReZc8el/rEWCwWI9th1vqTv7i0nbrO+EnRaDBw7dQ8itxm6j0R/vRZJUYdCZTgoahrxBFAbw+vP/doNMq7yxq46JX1/P3rOtqDMTweDzabje9qg1z3saqAL3abeejEQUwqNmt9hPx+P4X2GH87qpiTx6rH/PryNn71xnq2tAa0hUUwGGRjQwfPLGoF4OeT8ijPdWhjIYUUEgQNBAL4/X6tT4z0wBECre8DL7ac+U6TFlCVKtD5VQF84RiFLjNjC7etB+D2YHt69exO9CVZW5FtZeYQtcr22e9b434jJpNJ6ykl1+OnlADuL4le3ahyiAzbjrMREuVbGj8tpHllGv+LaG1V5155JjudTo0rbEtSHNACWPq+z9Ddv9BoVO0cpf+zfh9SEHfEsAzuO6qYsgwzzb4oN35az2vL24l1/U7ETlKzR4wpXP1hLf/5oY0vK0N4vV4MBgNTyx08clwJ5+2dhd1sYEVjkGs+rOMf3zbTFlDn4eIMK1dOyeOxE0qZMTQDA/DVxk5+/V4t981tYkNDhzYeMk7inqPnIHa7nQyrgRkVNu45oph/nVzGZVMKGZpjJarAwmo/f/q8htNfWM/dX9TwQ2OUSEzRLByltVFflBl6a/Wz9lK57YdrPLT64+3Ee0M4HKbZF+HGT+uZvcmL0QCXTc7l1/vnku0wccv0As7o2vYbKzq4Y3Yj04dkcd9RxQzIVK/L1e9s4tkFtZh1/TwBTcUk6wjhzKFQSOujqSgKJpOJUCjEklo/l7/bnRQfX+LEaIA5Gzq56JX1vPNjAz6fTwu2W63WuD7Usk9ZU0jRqvStFGcoGTsp9BT3ANmOBMUlqCp8M1nfbkmWi1V+NBqN49G94cO1nVz0RhXXf1KvJcXNRjh4kJMXTivjb0eV9Dkp/r+ONc3qnDok15o0KW6z2bQiX71V/k8FyXq7bg2V7eq6urwP7Yj6AlG+pfHTQZpTpvG/CImbieW0xWLR3Cn1PLK/yR2xVM+ymSjPVFXPBqDeE+WggU7sZgNL6gJc92EVnpj6vvA0EYNsDSK6SDwuveW2wWDQ+jv3FsuR575+W1arVeXYKIzPN3Lzwfk8c3IZF+2bR6HbjCcU4/VlLfzqvVqu/aCaWes9RDFqDotAD8chae8jLXnkeaAJnWxWfndQPlPKHYRjcNecRi2mmgj9MyMQCGitfAR/OLSI8yd0F19+scnHZa9vjPtMfxN2UkgpMJlM2lrA7XZrawO9et5sNvOXowZw31FFWg/omAKXvrGZWz6u1NpRgjr3WSwW7Tkq/FP+BQIBfD6fdq6RSASPx6N9XgonJX4aCEf5YL2fS96u4R/f1NHki5LrMHHppFyeOrGUcycVY4iG2NTk4a5Z1RzzzCp+/3E1Kxq7k+IDMs38anIO710whD8fXqwlxQV6Rbv0Ud8d6G8iOBxVePb7Vm76tJ5Gb5QSt5m/HFHMOeOzd2lSfFvQ5Itwx+xGglEFm8lATIHJZQ5O3Ssb2DYet7MgjrK7EwaDoc/rnTS2H/1a1Vx33XXMmTOHjRs3Mn/+fE477TQ6Ojq48MIL8Xq93HTTTXz77bds3ryZxYsX84tf/IKqqipOP/10bRsXXHBBXEXm8ccfz6OPPspLL73Exo0b+fTTT7n11ls54YQTtIRcb/tNI40difOnlGM1GVjVGGBxlYeJJeokuqzOTyDSHUQzmUz9tjsR8qRPqMuiSiwxJcgkyWK9clxP0I4c5ibXYaLRF+XT9R7O2zubEfl2PKEYd31WSSQaf2z6RKZg72IHT5w6mMsnq8noLe1hbpnVwJ/mNFDZ0k2q5XvRaBS73a6RbyG/drtdIz5GA1w2KZvzJqhJ2uqOMNMqHMwcmonRAD/UBbjhg0qu+qCOeTVhbHZHHLkrcFu5Yorai+ulH5pZ3Rzps9JVP3m4rUb+esxA9i21E4qBXLpnv28lRjxpsNlsccE4RVGYOcTF+CIbwajCPxe09Bg7t83E76flYzHCgmo/b6zs1LYlxyvWqPoFSjQa1UioBCwtFguru6ob317Rys9e38yry9p5fkkLt8+qwxeOMb7Ywd+PG0CJIxZn/SxVui67lSsPKuHW6QVkWI2sawlx9Qe1fL7Boz5HDQYenNdMMKqwd4mT40dnEQqF4pQ+cnyS3AZ1ISCBsESIUq3Zrw5unrO7R6ckPj9br9qBzhzqxrGLCafdbv9/0/9xW3Hu+GysJgPLG4IsqO7+nZhMJq0QRhY5qa7j7oDcO33Flq4WDSUZO8ZCHdIBzJ8K0rwyjf91SKBH/0zWJ8Shu6CuvxCbcT0kgaj/JwnUxJ7kAINzrDxwTAnTBzmJKfDs923cObuRjmBUc4gRXmM2Gjh+pNp7+KkFDXhDOqWI2chZ47L51+mDmT7IiQJ8ss7DL9+u5o0VHYS6iFhphoWbZ5Tx0HElTBvkRgG+2ODlsndqeHh+M22h7v7ewpv1dtqi8hAuNDA/g+OGOfjnieX86/QhnLN3DiVuM8GowpxNPm7+uIoLXq/in/ObWVrrI6jjPn2BjO8+JXZGF9oJRhVeW96uvZ/ID/XHBrC6Kchv3qlkbXOIDKuRO2cWctzIDI1Dm4wGLpiQww3T8rGZDGqP57c2YbdaeODoEg4fnkVMgeeWtHHDB1to7PDHcRspvBR3JX2CWRRA0WiUd1a0ceusBiJdrZRuO7yMu2cW8MDRJQzLs6kW2vOauW12E80BNJV4IiQxqocEupO5O/n9fu25azKZNPcqSeInFqcaDIYevDwcDmvXQYLToiRPRCgS4/GFLZz20hb+Ob9FUxm5rUbOGZ/Fa2eVc/1BBdvUkiVVT/T/BaxpUn8TI/N7FgpIwFsKGeSZ8lMK2G0L3xduOTCdGP+fQZpTpvG/DkVRaG1t1QrOJMGXGC8TV8r+QN+G5dQux0SZ0b/a7OMX++aQ4zCxsTXMFW9tosYbX1TSFxWz8OHE5K4ULco5CnqLXcjvT1/AKfEFcTwCGJifyWmj3fznjCHcdmghU8odGA2wojHIPbNrOO+Vzfz9q2oqO1Q7dnFNtNlsuFyuHvxc+LtYgft8PkwGuOGgAvYf4CAUVd0lf6jrGcPUH5e0qUnExfsV8Yfp3e0H17YEOffVKu1vfayur9DzXr3oSAoQ9PD7/Vph7Mh8O5/8fASDs7vnyflVfk58fhPVLQHNUj4SiWjtiRIFGU6n2is9VexHYlSBSIw3VnTwi7dqeGReA82+CPlOE1dMLeSpk8o4cUwWCvDY3BoufKOKS96u4cvNPgIR9VyybEZOHJ3Fy2cO5LETyjhmZKbGHaUgWaAvug0EAlprz12N/ij/K9vDXPdRHa8t70ABjhjq5u/HlvTqGvlTQSAS484vGmnxR3FaDAS7HLGuPiAPuope9Vz/p4DdnRh3OBw/mdjtnoB+jXRVVRVnn302I0eO5JRTTsFqtfLtt99SUVGByWRi1apVnHrqqYwYMYLjjjuOxsZGvvrqK8aOHattY8uWLdTW1mp/33LLLVx77bXccsstjBkzhp///OcceeSRPP74433abxpp7AjEYjGam5tpqdnM4UNVu4o3VnkYUZxJgctEOAbLG+LJ5bY8uMVKXQ+xkRG1hSg0YrEYTqcTu93eo5rQZjZyepdq/NVlaoDulhmlOMwGljWo9tZ6WCyWpMdrMho4YUw2z5xWwYljsjAaYF6ln8veqeH22Y3EjBatz47Y3IhSWYJWeiIqlt0XTSrk8v3yVEXQZj/BSIQnTx7IiaMysJsNbGgN8afPazjvxbW8u6qDQCSm2TcdNiqfI4dnElPgr1/V4wupqhUZh1STlASWRXlvNcIt0wuZVuHUSH1NZ4SP1yVYvSeQUgm8/maKmvj+vjbAl5t7EttheTYunaxWdD6zsJGldaqjgD4wInaTTqczjmzp7wGfz8d100u59+gBDM214gsr/HtJG/9e1IQCHDcqk7sOK8JlVnp8VxLxYtG+f7mTh44tYe8SJ/6Iwv1zm/nTrCreWN7GsoYgNrOBGw4tI9ql6pHej3qiKOoiKXjQj3dibydAS4yXZNlxu93aQqLZF9F6oh862NkjWLyjYbPZNMcF/fH9LyPfZeaEUWqS4t/ftxGNqXZiyYL+/U1G72z051gksD0kp6eabFuRDmD+NJDmlWn8ryIcDlNdXc2GDRs0latwukSIFeS2PKMT5zpRvUjgLBgMxilhhE/p5wmnxch1B+Zzxf65WE0GFlb7ufL9WpbX90zWHz8ykwFZFtoCMV5e3tHj/Xynmd8fUsL9x5QxIt+OL6zwzOJWfvH6Bn5ojGiFnqNLsrhxWj4PHlPCvqV2ogp8tNbDRa9t4snvWmn2qAle4ZqpkrT6YsQBmWbOGZfJEyeW8vfjBnDKWDWI2xGM8eFaD9e8t4Wfv1XDvxa3Uus3puTGglgsplmBu1yubtX4Wg8+xaLZpCd+RwpZv9jg4cZP6mj2RajItnL/0cXsXZw80DGtwsW9RxZT6DJR2xnhyncr+aEuwO+mFXLttCI1aV7j5/K3K1nTpqq0hVcmujCFQiEtKQ7wxKJ2HlnQjALYzAYeP2Uwk4rUdcXQXCuPnjyYiyaqhXaLqn388s0tvPJDE0pXIakktKX1kdfrxWaz4XA44qz7pTWAKMoFotYH4nhlYt9TsUqX+1VUS8mCx3Jfy7bqPRFu+7ye016u5N3VnVqgtCTDzI3T8nnpjHLOGZ+NuR9BJj1374tF7P9niGJ8RBIFfSo+/VOylQ+FQv3i/R3BKG0Bdf0yIHP7ubEo6tPYvUhzyjT+l+H1etmwYQP19fVa3CMVdxQesC3xkHA4zIzBTqR1c5HbjAK89GM7dx5WTHmWlUZflGveq2RVS0xLIPdXNKSH8OBEGI1Gba4Xhxzh0tI/3Wq1at+XRK/ExvRW8haziamDs7htZinPnTaQi/bJo9BlojMU4+2VHVz+TjW/fb+Kj9e0EYyoXE5vc+1wOLB0OfcI/9Ej0+3k5kNLmDLQTTCqcMcXjfxY3534FPce4VT67wvHkqLE/cpdPHl8d0/v9mCUk17YHFegph+vrSXQ9MWGwtugOzErYyuf07f6DAaDPHJiOXcc1n08EQXOf20j931Vq31fOJI4PwFaC0spiJD7UTikyWSi3Rfk+UX1/PytGp5Z3EprIEqhy8QVU/J46qQBHDPczXf1UX79ThWnv1TJK8vaae6KDVlNMKXcxaMnDOCF08u58qASXJbue17U8tIyUlr7JGvLIzx2Z8YQHQ4HNptN+/++ule9t7qTqz6oZX1riEybkZsOLuDKA/Li+qvvavRV7R5TFP72TRPrW0M4zAZ8YdVG/fqD8smydxecbkvBx87E9jzPdgTSscpdi+3uMf7/Cem+PWkkQyQSYdOmTdrkWOcJ88u3a4gp8ODRxXyw1sMn6zycslcOP5sQf98k6zfTG5JZZUr/H7Fa1/e0kf9P9r1QVOEXb1XT4o/yq/1yOXlcPh+sbOaBuc0YDfCXI4oYXRBP2Hqz6nQ6naysaePRBS1az0anxcCv9i/g0CEulK4+4Pp+jfJP+sHoXw+FQiyojXD3F9VEYrB3sZ2bpxcQjSm8v6aT91Z7NIvNTJuRE0Znc/QwJ1l2E75QjCs+qKXeE+GI4Zn8fsYAjZhKj8LEIJn+3PT/H40pPPV9B++ubAPUoOAr5w7DFFXHWHoi6tVVYqnz3KJGnvu+hWy7iUePLyHDFq8WURSFhxa08cnaDrLtRh49qYIMc0zbvwT05HqK4knuGwm6yr3TFjFxzTubafR1uwOMLLBz8YQs9iqya0obsaEUVTp0q8cBOj1eXlnWzos/thNTVBssBdW+89Tx+T2CWfreQ4n9MYUgCln0+/1abyOLxcKZL26gLRDjoeNKGZxt0Xonvb68nX9938boAhv3Hlkcty9RHMlYy/hvD+S3IuOwu3oF7Qj0p4+lJxTjkreq6QzFuHZaEYdWpA7y/1T6Y0qBUF+swGKxGCf8txKAG6blM61i+0liur/4jsGezqn29PNPIzU6OzuprKxMuag2mUzYbDbC4XCP56AESvryrJY+0no+pP++WD5qQUEdh0tlsbmxNcQ9XzZS3RnBaIALJ2Rz8phMjLrn5aIaP3/8vAGTAZ44ZRBFjuTzt8ls5sNVbTy3pFVLQu1X7uKXk/Modhri+O7yhgAvLG1naZ3KxW0mA8ePyuDUMZkUZrvx+/1a/0Kx1E4sAtP3XZTzi8YUfqwPMHuTl7lbfPjC3cc6MMvC9EEujhiVS46lp12nHJ/Yuvv9fn73cT2rmoKcNDqTX+yruiNJ33Kx2cRg5Jnvmnh1WRsA+w9w8ruDCrCb0foqWiyWpEqR9kCUe+e2sKRG5TAX7ZvPqaNd1Hhi3PVFHZXtYYwGOHtcFmeOy8ZiVi0/pV+k9PUGlaPe+nkTS2rVbeU5zTx8XAlZdrPW81GOG6AlbObe2VX8WK9+f1SBneumlzAw05y04E7fbzwxaazn4cnel3GQ+1P6LMr3kvUMTYal9QGeWtTKhhadGgoYW2jjssm5DNqOgjo5hsS+rf8f0dv6LxxVOOPlLYRj8MSJpZRmdCdZkl07wbb0l9xZ6G8riuUNAW74pJ5Cl4lnTh6w3fvPzc2ltLR06x9MIyXSnCo9Bmkkh6Io1NXV0dzcnPIzVqsVs9lMIBDo4Ugkbf368rzWxwrumt3At1V+rCYDhW4LVe0hppY7ue6QMm75aAsrGoNYjAauPiCPw0fm9MmNZ2v27lI8mexYE/t+y+eleC5Zv2gZF3HQEwjnsNkdfFfl4YNV7XyzuVOz4nZZjcwY7OLI4W4GZXe78CTOM3K8Eg8GdU7989fNLKj0YjMZuH1mIXsV2uPOPfE8E+daSVB7vV5Of7UGnXEpT584gOJMs8Z5xR0gle28xJnF7l6S7/o2j8n4mhQ7hMNh7TgtFgsXvrqJOk/39bGbDTxzYgmZDou2bbmHEmNP+t7m3lCM91Z38tbKDjq7HKhKMiycPjaTw4dnsr7Jz39+aGNpXYCw7vwNwJBcC6eNzWJahUsrypTWPmJRL/FoaYGqXyP0xitFiCVxIhmDHdGiUXiTw+FAUZStKsZb/VEenNfEohr1c/uU2Ln6gDxynTvORXFbkdhyIBX+tbiV11d0YDaAwQDhGFwwIZsz9srq8dnd2e9dD1n39UfRv6OR7i++/egPp0onxtPYoxEKhdi0aVMPknXv143M2eRjWoWTAwc6ueerJgZmWXjyFLXyN5HQSXCpN1KSLLggZEHsasRGUA9FUTRikvj9d1d38PjCVvKdJp4+ZSBGJcp93zQze5OXIreFJ08djFkJxxFkt9uNx+PpcXxSoWW1WrlzVg1zNnZq743Mt/LrA4oYktVdxSVBLX2FIHQnmiV4OX9TG3/6sgl/OMawXCu3zSgk227CaLHx0epWXlvWRk1HF0k0GTh8mJuTRmXgiZr47fuVxBS45dBiDqpwaaTMbDZrAUBB4kQq1wRUFfiz37dq6vqReVb+efJgTeWSCuGowlUf1LKlPcwRQ91ceUBe3PsWiwVPIMR1H9WxsTXEXoV2/nrMAGKRsEb8oFtpLYRYfy+IqmdtW4w/fFxJezBGps3I1HInczZ78XcFcQ8od3LRxGzKMi2aKli/aDAYDBqRk/39WO/nD7MaNDL5s4nZnDQmkwy3O64CNlViXIg0dCvJJQgai8XwBUKc+MImAF45ezBOU0z77K/fU8ftN/vnctTwjJRjDGjkdXuStv3to/VTRrKFX294c0UHTy9uJc9h4vETS7Gbk1db/lTIZn+OY0NzkCs/rAPgpTPKcVu3v5I0MzOTgQMHbvd29nTs6ZxqTz//NJKjra2NqqqqrX+wC6meh1arVWuLkQq9JST184h8LpF7SO/mRPjCMR77rp3Pu9qhTC5z8LtpReRl2LVCuTtnNzC/ys+EYjv3HT8o6XHK/gxWB88urOfN5a1EYmAywPGjMvjZ/iUYI8G4z8/b2Mp/lrSxuqm7QPOMvfM5foSbHLeaxJUex4l8Wwr59Kptk8lEIBDAZrPhC4ZYWOXn8/WdLKzxE452L4FHF9o5eKCDgypc5Di6lS56nmWxWPihPsj1H1RiNRl46sRSLTglx+QLx/jz7Hq+q1HH4/SxmZw/ITuusEB/nRLhdDrp8Hj59w+dvLlc7U1/YIWL6w4qxGq18o9v6vh4jcplJxTbueWwcuyE4q6tzWbDG4py2ZubteDlyHw7fzmiAEuXI5AoMyTxKwH1aCzGJ+s8PLO4FV9YwWSAM8fncPqYjLje0/rjl96g+gBSqkCruBXoA5SyRhE+LMeX6t6PxWK8u9rDa8vbaQ10r28sRjh4kItLJuVSkOWKK9rdFvxUONOOQG/nsrY5yDUf1uG2Gnnx9AHaOrQv5/9TKbjsL2/+aG0nD89vYd9SO7fPKNru/ZeXl5OV1TPIm0bfkeZU6TFIoycURaGqqor29vatf7gLqQqatlZ4mRhfq2oPcdm7qiL4gr2z+O+P7URi8Jv9czl2TD53zqpi7hZ1jvj5pDzOmVgQpzTe2nGJoCOx0NHhcCQtfpT3Il3OhyJC0fM0fbJO1OZSgCdxOUmmi6JcRB81LR4+Xe/l43WdNHi7ucPYIgfHjMzkkKFZGKJhrb2I/jhFvS7nF4oq/PmrZhZWebGbDdwxo5CJ5Vk9xl7U28FgUOWpujlXf73OfXUL7cFuznrzwfkcMNDVY1vJEnk2my2uJ7iMqyiXgTiRl76FZyQS0cZUzwk+WNXOI9+1xe3nrHHZ/GL/Ii1Zn+xeczqdtHgCvLGshbdXdWotmUozzJy3Tz7j8oy8+GMHX2/x0xGM528FThOHD3Nz2phMrLpYl8vlIhAIaK5Gcm0kxi73y/Y6/+wITtgfrjKv0sdD3zbTEYxhNRm4eJ9sjhuR8ZMRdvQl9vrJuk7+8W0LALkOEy3+KBNL7Nw+o7DHugi6HQZ2d4pydxd+GgwGRo8e/ZNS0P9/RDoxngJpspmGHoqisGnTprgEoWBja4gr3q/FaID7jirm2o/q1N6LJ5eR7+q9QitZ0rK3AFiy10VNJO8J0UkMlIaiCpe8XU2zL8rlk3M5dmQGUaOFS99QK/mmVTi5YVqBFmzSE7lkxECsiKLRKPd93cCsDfFjc/iwTM4bn0Ge04zZbNYCXPoAJNCD3C6tauO2zxtoD8YozTBzx8xCKvLcalA2HGFepY83VnpY06SSOaNBtZW0mgx8ut5Dhs3IQ8eWkK+rjtMXE+jHKBVsNht//ryKzzeqY3rIYDfXHJCLydg7uRBVAcA9hxexV5FKKoVoRyIRqjvCXPOh2g/81DFZ/PqgUu24hBxK/yOTyRR3z7lcLt5c2sgj8xuJxFRbyz8cWkxptp2mziAvLuvgvZWtxBQ1mHzsqCzO2iuTTFv3RKmvOpWCAL/fzzur2nl8YStGA1oF7OQBTq6akktRllNTbkciak8lvUrHYDBohMdqtWrjLYr3cDhMR9TMOS+ux2Iy8MZZ5RpRW9cc5OoP67AY4T+n9T2ZKfab/Z2WREX2vxLA7K2KNRlMVhsXvryBBm+ECydkc3qSCkxBsgD2rkZ/FhavLmvn30vaMBvgrXN3jCWh0+mkqKhomy3m0lCxp3OqPf380+iJcDjMmjVrttlBKBmktYmeN0iAJ1lwJZWiRoJu0t9ZjlGCjInBDavVyjvLm3l8YSvhmEKB08T10woYXWDDbDbT6Ff42asbCMfg5ukFzBiRl5JXSrB1XX0H//q+nW8r1XPJtpu4YEI2M4e4MBkNWpDOYDAwZ10Lz//QzsZW9VwybUZOHZPJsSMzyMlwJd1XYuGncFQJCgrfMZlMtPvDzKv0MWejl6X1AY0jGQ1qwvmQwW6mDHDgTOAviqJw/Sf1rGwM9nCSavAp/OGzGqo6IlhNBq6aksf0wcldTsRdR49EHvvZBi///LaZcExhUI6Vu44sp8Bh4NO1HTz0bSPBiEKuw8RNh5YyKrf7OFvCZi57Y4Omjj9sWCZXT8nRiiFkHSHzX6LLjtlspqEzyKMLWphXqb5ekW3lN/vnaE5Ucv+K84G0f5IxEs4bDAY1Tir3WiQS0WxQRdkjynxpEZSM0/tCMZ5Z3MrnG72EdEUNmTYjp4zJ5JTRGXFBJP32+gtp7/S/Yp/em/L7/dWdPLqwhX1K7Nwxs6iHk0Bftq1XlO0O9Lc49onvWnhnVScnj87k513OD9uDvLw88vLy4uxq0+gf0pwqPQZp9ERLSws1NTV9+mxfk27S+lA/x0oiMZGXXPRGFU2+KIOzLRw6xMUzi9uwmQw8dspgipzw+PxG3l6limmOHZHBZfvl4XL2dO7TOx0m479SECfiGqCHCAa6E2daX+qu9i0iTkrctsvlIhgMajwjFotpz2kZK+ENWu9wReH72gAfr/XwbZVP44duq5EZQ9ycsFceg7KtmjNTJBJJek7BSIy7v2pmUbUPh9nAX44ZyJBeftYictHPZfq57eoPaljX0v3emWMzOH9irvZ3smPQvya8SmLViqJgtVo1nhaJRLRjCAaD2pwuQhn9+TocDjweD+e/UUNHsPueybAaeP7UMtxudxzncDqdNLb7eHNFO++satf46YBMM2eMzaQjGOODtR5qOhMcQS1Gpla4uWjfPApd3clKfUGlJN8l8a93H7LZbJpDZbL7qb+QWHl/xThmsxmr1ZrUKSwR/nCMJxe18sk6dT0zJMfCtQfmU5H90+IXW4u9L60LcOuseqIKDMm1sqElRK7DxD+OLSHbbkr5vcQ8yO7A7hZcGY1GSkpKyMrKSifHtwPpxHgKpMlmGnp0dnayefPmlO/f9nkD39X4OWq4m83tEVY2BLhySh5HDOvd0kKSe5IMTWUZ3FtgU59cT6U0B7VvyofrvPzz2ybynCaePLEMm9nIqsYA139cR1SBqw7I4/Chbs26WwiBPgEK3X1CNAJlMHLH53UsqPZjNhqIdLFCu9nAGXtlcdLoTKwmQ1xwLxlZkEmzuiPMrbPqafBGyXWY+NMRpZRnqA96OceldQHeWNXJd1W6akmLAX9YYUKxTQ3Y6BJZ+jHsSzLR4XBw3kvrqO0iXQcNdHLtgflxKphkePjbZj5a52FAppmHji3FYjLEkQGj0cjXmzzc/WUjALccUsShw3NSVrtCl+W8xcrfv6zi/TUq8Tl0aCbXTy/FZjZoQUubzcaaug6eWdzKwuouayOrkXMm5HHqXrmYjWqlbeI91hww8Ms3NxOMKvz6gAKUaJSnFrUSiqqB1N9OzWNCiVqpm6jYloAloFkTyXXWB9HXd8BV72ymNNPCEyd0Wwg+vrCFd1d3aoUZ/YEsdPqjQJHe5rFYjEgkskOsjnY3+mJPpB+rLzZ4uG9uMy6LgSdPKiPTlppwwu5VQvVn32Ljlusw8typ5Tv0OGw2Gzk5OeTk5GiL8DT6jj2dU+3p559GT1RVVdHW1tanz/aWqEqEOLeINXqqArJUQYrEFiOplObJAos1PgO3fVpFTWcEkwEunJjDyaNVxcJLy708/30TRS4TjxxfSqbLofV+1gdX9daBfr+fpY0RHv22kcp2lR8NzbXyy0k5jC2MT7oaTSbmbvHz7KJGqjpU3pbrMHHmuGyOGOrqwd2SqZSTJaAT56AWX4SvtqhJ8jXN3ZzNajKwX5mD6YNdTCp1aPtbUuvnllkNWIzw3BmDyTDH+L7Wzz1fNeENxchzmrhlegHDk/Rr1kN/HRKLPeW9TZ0G/vBJJS3+KBlWI7ceVsaYXCOV7WH+/GUjW9rDGICzxmVx4aRCvq/2cMuntUje+OeTCzh3Yj6guhdJ8Fk4ltPp1NyqRG0vqhpFUfhmi4/HFrbQFohhAI4flcl5e2eRn+XWiimBuCSy9AOVwKsU5In1vxQvJCqT5bOJBbzVHSEeW9jKktoA+ru+PNPMxfvksN+Ann1JE8e5v+pxceqSotPd3Wtwe9GbsvuBuU3M2uDl7HFZXHJAaa/uZ6kgxbT9UW3vSPQ3iHnrrHq+r+3bur4/cLvd5ObmkpHx01F1/X9BmlOlxyCNeESjUdauXbvDi44kgZ6ovk6EwWDgtZUe/vVdEwD/PX0A937dxPe1AYbkWnnk5MFEggHeXtXJU9+1oABTBji47qB8XDZLXHKrt7Z9eujfs1qt2vyr53L6bdntdqLRqObaI0mkZIl3EQklnm9vcYnOiJEPV6lJSr19+Kh8G0cNd3NQhRO72ZiSfwejCnfNaeL7Gh9Oi5E7ZxYyMj81N0zkgom4/5tGTeQDMLnUzh+7XE8SY6GJ5yVjK+MnvF/fcikRiaIVUbgriqLFA19e7uE/38fb/F81tZDjRmdjMplo8YZ4fVkrby1vxR9Rt1ORbWHKAAfLGkKsbOwuTgVVCDS2yMF5E3IYk9+9/tEXCUvxokDipoqiaElocUSShP+O5HH9jaOJiEd4ZarxXt0U5G/fNFHbGcEAnDImk/P2zt5qrHp3oLcxqO4Ic+1HdXhCMUYX2lnZEMBogLtmFjG+OHXbRz12pyNRf12IdhaMRiPZ2dnk5uZqhR9p9B3pxHgKpMlmGgJFUVi/fn2vVU7LGgLc+Ek9ZiMcPzKTN1d2bDXRJxNebz8rse/pa0C0twSZ3W4nEI5w4aubaPZFuWxyLifvlUs4HOaVZe08t6QNu9nA348pYXhxVo/JS6pDRcmcGNBUTBaue38Lq5tCZNmN5DlMbGhVJ/Jit5mf75vDlAGOlLZ7iX83+yL84fMGNreFcVmN/OnIcoZlxZNgm83GyrpO3ljewZebvXFEacYQF1dNyeuh8k5lD58MmzrhN293F0TsU2LnpukFKe2nATzBKJe9W0NbIMb5E/M4f2Ju3GQp5/nskg5eW9aK02LggaNLGJijTmCJ18/pdFLX0s6jC1r5aot63hdMyOas8Tlan/PEbZtMJr6v9vL0olbWdymoClwmfjG5gAPKrHEFA1abjeve38LSugATSp3cf/wggoEA1R6FO2ZVs6UthAE4ba8szp+QgxEljtC7u6zWpVeP3NdyjcSy/aOVTdz7dRPjix3cfVghAJGYwgWvV9ERjPHHQwuZXObo03VJRG/qcbPZrN1zsgBKJE6S7BdVvFwH+X3Kf7dnCpTfjexHikJ2xAI21QJL1HeJFrgxRbX939ga5sRRGVwyKbfHd5Nta3eQvv4sJi59p5rqjghjCmz8VderfkfCZDJRUVGhBfjT6Bv2dE61p59/GvEIBAKsW7euz59PpdRORF+el06ns08qBOi9wl8S6ImWiq0ePw9/28yXm9Xj2K/MwTVT83DarPzsjc00+6KcOz6Lcyfkaj3ZkrXbkYBkMBhEMRh548dmXlzahrdLOXJwhZOL98mhPM+t9UI0mUwEQ2Fmb/Ty3x/bqe8KTBa4TJw9LouZQ9yYjKrCBdTneTgcxmAw9CgEFZhMph5tgAQ1nWG+2uJn9gavlrgHcFkMHDjQxfTBTsYW2LjpswZWNAY5bqSbQXkuHplXT0xRWw/dfHBBn/r/SYAxWf9CmZ+dTieVTR3c/WUjq5tCGA3ws31yOHFUBsGowhMLW/lkvcp/9yq0srohhNwFNx2cz8yR+T3OU5KIqe6txKB1ZzDKsz90ahbuhW4zVx9YxKQyp+Y2JOMsCXL9WkKv/pC+fUBcOyNpwyT3sNPpZM6aJp5Z3Eplh65tEDChxM5lk3Moy+y7eqY39bhwOei2xE/8jYiKSvgeoHFJPa/c3sCrcEqTyaQFcoPB4HbbSiYrEBH86r1atrSFuH1mMfuW9F7M0Rt2p8Kmv/u+8I0qmn1R/nZkMaMKtv2cU8HpdFJRUZEuuuwH0pwqPQZpxKOhoYGGhoY+f76v6+utKT1lzg4EAgRCEU57WW1tePzIDE4fm8lv3q+lIxjT4g1Op5NPVjZy3zdNhGMqD/rDIYVk2U1azChRPZzsOJMlwmw2m8aR5HuJbYHEoUbEHPK6nssmJoUF+v7UycZTeLrVZmPehlY+WudhfqVPKz50WQwcMtjNSePyGZRtSZrIC0Ri3DWnmSW1PpwWA3fNLGJEL8lxs9mM0WhMGaN5d1U7j+tszEvcZp48qUw9nq6ivsT+1fo5MpEPpBJhybg3+SJ0BGIMyVU5V+L9Y7VaafN6ueC1WgI6N598h5GDB7l5f00nwagoxE1k2sxsbA1pSXJBWaaZk8fmcMLobM1FSHqW+/3+uPtG3FBjsRgWiyWuiELO0+1WCzj1XHRHimcS+8TroY9VCn9MvOf1fC+mwAvfN/Hc4iZiChS4zFx3UAF7Fdq2m/9ZLJY47pqqjVZ/kep37A3Dbz+sobojzOAcCzUdEYJRhXPHZ3H2+Owdso+djZ9KYlyPoqIiCgr6Jzjb05FOjKdAmmymIWhtbaW6urrXz+jtEg8blsln6zrIsBp5/rQBKe23zWZzr4GRrRHRbf282OCJatxqMhCNKdw6q56l9UGG5lr525HFZGW4ep1cZPIREms0Gqlt6eCGTxqobA8xMMvC8SPdvLSsk2afSgL2KXPys4lZjCrO1I61N1s9TzDKn75q5sc6P1aTgVtnljFtSBaBQED7vChYajuCquXOCrUvJUC+08zZE/KYPtBKToYrTn3SV/z16ya+3OTFACioVZ+3HVqAuxeV7bzqEH/6ohazER46tpTyLIv2nlSrGk0Wrnp7AysagwzKtvC3o4rJzXRrwUCp9NrS1MGV71XT0TXfnjjSzSWT8+KugajFZUzl9Zii8MVGL88taaPZp5K7UQV2LpqYxV6FahL7w3U+/vFNHTaTgSdOriDP3v2YD0YVnlrUyodrVNur0YV2rp2ay+CCTI0U6wsNJDgn1aSiOnM6nTz/XS3PLG5j5rBMrpmiWhHOr/Rx55xGcuwmnj2lbKtW9b0h0VVBbJ52hl2jJNDlXAHtbyG2Yh8lJDjV9Cm/H4PB0OdkRSLkNySEGejRoiERi2r8/PHzBsxGePyEMorcvQfm+6NY3JHoD8k9/aUt+CMKx43M4LLJW0/2byuMRiMVFRW4XMltb9PoiT2dU+3p559GPDZt2tQnLiJKBrGM3FqQZmvPy/4GDbb184qi8NFaD09810I4piamb5xWQEvIyJ8+r8FmMvDoCaUU6toN6Vt36JPA+vmz2Rvi+SVtfLzOgwLYTAbOmpDHCcMdZOss051OJ+2dXj5d7+GlH9tp8avjVpph5pzx2Rw+ModwVyBNVNES7BQ+JVbqQNy8LL0Qw+FwnBXjhtYwczZ6mbPZq/EtUFXro/KtzK30x7WqmTHExW/2z8PaR2VHb9dCgr0yfqGowiPzm/msq8XRoYNdXHNQERlOOx+saOSheU0EdEFGA3DLIfnsP8Cl2TfKuUqwOFUyUe9KBd0Fed9uauPvcxu14oSZQ1zceGiZZsMJaoFIYvBRepiLokesO/UBbekF6ff7eX1FJ2+t6qQ9oCsUMBmYOcTFxRNzetjb9weJdrE7K+im54/CK/VBUr2aWK9MTwV9S4Jt7Z0uwXbh9Yqi0Nzh48yXt6AAz582oFd7y75gd/HK/vSD9IZinPlKJQAvn1GOazvup97gcDioqKjQinbS6B1pTpUegzS6EYlEWLNmTZ+KrfQq3r48f7cWX0xMnF7/cR0rGoNkWI28eEY5C6p83DFbdUm87dBC9itXk7HLGgLcNbsRTyhGSYaZO2YUUpJh6bH93p7XW7Oq1ie8nU6nlhBPtKkWfiP8Q+ZYKZo0m9W2kKnGQbYnduOiPA4Gg7T6o8zeHOCD1e3UdnYf56gCO0cOczFjaBYuu0U7LrPZTFunjz/MqmNZQ1AVB80sZFgvrkJb4ybL6n3c+Gmj9rfDbOC1syt6WLEL9EnYZElwvQLfbDZr65nazjA3fVZPKKJw71HFlGZYtLGV4lXh1larlb/OruLT9T2PO9dhIhyN0RmKj51l2ozMHJbF6aOdZNrVuVJ4hBT96tvyJMZFgbj2L1KAK5b8EreTeXhnxBD1xyK28/2J99d2hvnbN02sblLjndMHObl8v7werSgT+WRinFLe64vbkayL5PPbUoBps9m0dpxyTIFQhOs/2MKyhiCFTiNWs5Gqjgjji+3cOaOw33Fhea7t6pTl7lSr94b8/HyKiorSjkR9RDoxngJpspkGqAGINWvW9GlilCSf06IGEPwRuP+o4l6r/KCboCaryOpPtVpfAzbhrl7jTb4ol07O4fiR6v3d5ItwZVdVp/RR09tlJtuf9PbTV1U2eCJc93EdLf4oYwps3HJIIW+t7ODNFe2EY2pPxmNHZnLOuEzyMhwpK6wkINza4eEvXzWxoFoNKl47rZjpA22azYyQGDnG9kCEGz5poKqjm+hl2kwcN9LN6RMKscS2XtGlD5bWdoa56JX1RGJgMxsIRhQGZVu4c2YROY7uoJCQGyENN39czfxKD+OLHdx/fAUG6FGdWtnUwVUf1NIWiHHk8ExunDEgTm1d2R7mj5830ODtvv+G5lh48JiSOKtJCR4CcQFDQSAS4+2Vnby2vF2ruDxoUAZHDXVw5+xGglGFSyfncPLY3B797kOhELPXt/PQ/Ba8oRhOi4FrDy5l/xKVNLpcLs2qSG+BKoneWCyGzWbj4W/qeGN5K6ePzeLCidkA3D2nkbmVvh3Wt0+OORqN7naCsjvtx/sCRVG4ZVYDP9QFOHSwi2sPzN/qd3aHwqev4xiLxTjhv2rw8vfT8jmwYucmrQ0GAwMHDiQjI2On7ud/BXs6p9rTzz+Nbng8HjZt2tSnz26LYkHUrlIopp/T+7t4708CCXrOERtaQvz5q0Zqu6zVL5iQzaK6EEtrfUldleT7knzWJwD1AY8qr4GHvqlleYN6LoVuMz+bmM2BA524XPFFncFIjA/Xenh1WTvtXb0NK7ItnDs+mwPKHZryXRLykhxPDAbqbRfFCtrn8/VQCsQUheUNQeZs9PL1Fh+eUM9A01l75/LzSflbbeciQVogLtAjBXmJXEd/fQ0GAx+s9fHo/AZiCgzPtXLz9AKKs+zUdEa5/K3NmipHMH2Qkz8eUaGprMQdSpyAkvF14eKyT31/+5jRwtML6nl7VSdlGWaG5lq5eUZpnDWpjJ/ca/p+pvKe8F0JTrd5Azy2oJkv1ncS1llF5diNnDY2i+NHundYnz09t9/dnG5HK5j6C2kLUOQy8fTJA7Z7e7tLZdOf59qqxiDXfVxHntPEv0/Z/nPuDTabjUGDBmntMNJIjTSnSo9BGt2oqamhpaWlT5/dlviEJBCTJcUSt/djnZ/ff6Yq1/96RBFjCu1a27xsu4mHji3R4mdqnEttnZhlM/KHQ+Otw/sSd+jN1cdqtcbFCBPjmvriLPl/PQ/V27SnmquSCXyEL+qdj0xmM/M3tfHRWg/f6lTkTouRQwc7OWlcAeUZRi1+5g/H+OPnqtuQ22rkT4cVMTTX2mPfsi9J4ktbmkS0+8Kc90aN1mLGaIDXzx2G22aMK8bTFwwkcg59sa6+aFA4tDcY5fef1rO+NUSx28y9RxaT4zBpMWPhiz6fj86IiRe+b+TdVR2pLy5gMRmYUGzn/PFZDMmz9bjf5HrJNUr8W667Xj0uHFdT+OscFuW8d2bRnt7Sv68cSFEUPl3v5YnvWghEFFwWA5fvl8chg7c93rU7E7qKovD3eWoBr9OiXuO5lX6y7UYeOrY0LsbeH+yO+OtPUTEuyM3NpaSkJJ0c7wP6w6nSndzT2OMQDAb7vHiePMBBRY4VX1ihoEsFs7QhvNXq70AggM/n02wQ9RAlxtbgcKgW1H2xYbOY1L7fAK8u6yDUxczynWaunKIqkd9c2cGimu7+f4nblQCRvveg9PkbVJjJHTMKcVmNrGgM8vD8Fi7aN59Hjy9larmTmALvrurgl2/X8M6KNqKxnuTNbrcTi8Xw+XzYzEZunl7AYUNdxBS498s6Xlvero2bEBpJDGfZzTx4wiAyrOoE4LIY6AhG+e/Sds56YR2PLWyhztOTZDscDqxWK06nUyPDfr+fbHOEY0eoya98h4kcu5FNbWFu+LSe9ogZh8OhVZfKMQUCAX5zQAE2k4GldX7e+bGBQCCgBaydTicGg4EBeRncdGgJRgN8vLaDN3+o04jYysYg139cF5cUB1jfGmZVc7daXkid1+vVLM2NRiMOhwO73Y7NZiPTaee8ffJ57syhHDMiA6MBvt7UyS2zGghGFUYX2Dh2RIbW61FvJ261WjlidAFPnTaEMYV2fGGFO2dV8495zQQisR7B2s3tUf4yu5q6Vo9G0qPRKE1drgFFmeo93RGMsqBaJS4zhuy4JKYo7tNW173DYDBwcVeBwuyNXja0bJ3Q7Y5gXV+tRte1dP+mJ5ZsmyV/f6AoClu2bKG9vX2n7yuNNNL434E+cbg1RKPRHjxwa7xQiut8Ph+RSCSuz5gUzm0NkiwWXtUXJFOeDMm18vejS5hW4SSqwL++bwMlhtEAX232sbQuXiUh3/f7/QSDQcxmMzabDavVqhXZOZ1O/o+98w6TpKra+K+qOndPzjM7m/OywJLDAkvOGUWSiiBBQRQlCKIoCoiY8VMQBUFBkJxZcljyAgub4+zMTs6hc3fV90fNqanu6Z6wu2DYfp+Hh52ZDlW3qu5973vOec+kfJVfHjOBKxeWUubTaBtIcPMbHVz7UjvLG3tSPtPtUDlpTj73nTmDc3YpxO9U2NwT58bX27n82RaWtcUsPhsOh4lEIsTjcfx+f0pw1V59YT/P9ACsqijMr/Bw6b6lPHzOTC7aswS3I1WQ+OeyLi5+tI6HPu2mO2Lg9Xot7unz+azEhng8bnHReDxuWpUO8kxxC7LzSofDYbW0MQyDo6d7ueHQcvLdKuu6Ynz72WY+bR4gz5EkkYF7v1YX4rR719IXTRAOhxkYGLBs251OJx6Px+KVIiSKyGm3oLTGQo9z2YETKPFpNPYneH1ziPcahyp4JPnSPo7JZNLilXZbU4/Hw8auCN96bCOn/mMTi9f1WUHxKUUufnpoOfeeVsuJc/K3W1Bcjkes+se6J/tfxdpO81qNlvA9VsRisX/LmI6Hy9b3ms/6xILPnv9Go1E2bdr0Hyuw5pBDDv+ZGI8bYnogTALLIyEej1v6llgtC9J10vmVXvxOk/Pcu6wHgHN3K2JKkYueSJLfvduNPri21xY4+eVRVUwrdtEb1bnmhVbe3ZIa9BwNksiY3lNX7MXFaQawAqJ21xrR/sSOOx43tVt7UDXTnCwW8uFweNgYiC4r45ZMJsEw2H9aCdccVM7dp0zg/D1LqQw4CMV1nl47wNcf3sS3n97Cs2t6iCYMvE6V6w8pZ06Zm4GYzg9ebKW+X7e4ud/vJ5FIEAqFLM4vSQtyTsIrvV4vZYV+Hjm9GvegS5FuwMl/X8+njT3W++1OoF6v1+KWdhcl+T4735Ogd0mBn58fO4mqPCctAwmuf6UNHG7ruCKRCJtae7ntnQ7OeWCjFRTPFrI7c34ez31tFj86uJypgxXzksQq94YU5DgcjhTebj++TFq+rutompZyfeUctyeHzIRIJGJVpo8lYNkbSXLj6+387p1OIgmDncrd/P7Y6m0KigOfe2W1HQ+t6OPFjUFUBY6ekcdbDWEU4Hv7l251UByGz2+fBySB9z8RXV1dNDY2/luv9f8icoHxHHY4jMfSTFUUvjCvEID2QRvF97cMWAt2OmHLBCFs9p9He59kSYqwJ+TA5/NlJbpHziygzKfRFU7ycl3EIhf71Po4dmYAgF+/1UF3OGHZ0tiFO13XLaIFQ8Q1Go0SCoWYVZnHTw6rxqkpvFUf5A/vtFNd4Oaag8q48fBKphS56Y/p3PZOO5c+3czHzam9hKQPjEBTFS7bp4TT5pnZO3d/1MOdS01iLWKmVJJ4vV7yXXDFQdUABOMGX96thOnFLqJJg6fW9HPB403c8kY7G7pilsgnJC8ajRIMBlPEmtPnF+B3KjT2JzhxTj4VAQdNfXEufbyO1c29GQlXkUvnrF0KAfjrhz10hxNWhXcoFCIYDBIOh5lb4uDswdf98b0uNnTFeHdLiB+82Ep/TKfYM3yhffDTbivbMB1yDiLwRqNRqxejV4nzvUUTuO3YqhSRp64nxlPrwiR0LGJpv57xeJw8Nc5Nh5Vz+k4FKMDiDQNc/mwrq5r78Pl8eDweotEof3i3ncXr+rnwiUaeWduHPmhx1TaYjFDgMtA0jTfqQiR0mFrkZErR2MX3sSAcDhOLxVKSA3IYjuklbg6a7MMA7vqoe9TXS//6zxNjJbgfDc4hDpVtsk4dDwzDoKGhge7u0ccuhxxyyAHGlsCY6fVSuRqNRq3kr7Fw1EgkksIrx3IMkhwoFdHCrXw+X1ahUvimpml4vV5LWPK5VK5cWMo39irGqcInLRFLmPvzhz24PV6cTidutxu/359SoQtYVSlS+SNru6IoHDQlwB9PqOacBcVWIuK3n2nmtnc7U6y1PR4PRjzC6fML+MtJNZy+Uz4eh8K6rhjXLm7m6hdaWd46FKRPJBIEg0FcLhdut9sSCcVyEbCSEDNVM4ll5ytrO7j7oy6iCYOqPAeVgaFxX98V4y8fdvPlh+r5zhObeHRZKwMxPUXczDS+dohIDVi8UgQ3wS6VXn51dCWTC530RHS+/0Ir93zcTdKACr/G9/YvwWWjmV3hJGf/q5Elm4cSOFRVtT7bzitFJJX7MBqN4vf7LTHV4/HQPhBLsZb/zZvNdPQMWMds/w4wEz/i8bg17gCvru/h7PvXcdFjDSxvi2JgVjvtNcHH/WdM545TJrPrZ5wQJwkCbrc7RZT9PPHvFt7Wdpp8bOYIlq7/a2gYDIzXfg6BcTAF1k2bNv3bXa9yyCGH/x6MR6+0J1xKIUosFrOCqaOtMxIEku/MVNhz0GRTR1rRFiWh67g0hasPqsClKby/JchzG6MoioLP56O6OMDNR1Sye7WHaNLgZ6+188xgCz/hMpKUlwlyvJFIJCXBUOzTpeWirNm6rqe8VnRESSoErKTSTL2eYYiPjWeejsViVouYqiI/J88O8PczpvPTwypYONGHppgOJb95q4OzH27g/97rpKU/wY8PLmd2mambXv1cIyubei1Olo2HxGKxlIRF0cWcTicPnzGRMv8QF738uTYWr+u3fhZeKRpgNk6a6TqEw2E8xPjxIWUUuFU2dMX4wXP1RONJWvrj/O6dTs57rJFn1w2kuP3Ivwo9qfrNfZ/2892nNuNyuYbtQVwul5UEKvuVWCxmXRO5d+T+sGvVYHJOO1cWjUt+/1kX2Nir7YVXZnr2ljaFufTpZt5uCONQ4asLCvnZYRWUj9ICcSz4d3HKJfVB/vZxDwCn71RgPe+nzy/YZi7/eVy7TBhLnOffhZ6eHhoaGsZcbJTD6MgFxnPY4TBeAXPhRA9lfgfhuLnEr26PEorpVpDS6XSOSjqFnNmJnqqqVrB7pGMU8uNyuSyCIEFtu6gW8Lr5wmDV+H0fdzIQjlqf/7Xdipg0KKDd/Eoj+qAVkJAOqWgWYqxpmpVdKROuruvMKta46oByFODpNX08sLwfj8fDzhVufntMJZfsU0aeS6W+N84PXmrjZ6+10RVVstqfKIrCVxcUccFgf+3HV/fz67c6raoXwzCsfkCqqrJwSj5HTDeD/M+t6eWGQ8u59ZhadqvyoBvw+uYQlz3TzBVPb+bduh6AFDJk7/eS79Y4c1fze59c089NR1QxuchNVzjJ1YtbWdORSoxlw3Hi7DymFbkYiOn8+YMuK4CeLlKfNi+fPWu8xHW47qVWfvqaaW++R7UX3Rh+r7zfGGZ1c59F7O1jJNZA2WAYBh6X06pELx28X+94r51z/7WR51Z10N/fn3KMIlhqqsI5uxZy63ETKfE5qO+N8e2nG3l0eZdVTXXugkKmFrvoj+r85s1WrlzcxtqOyFDFeJ4pbr+00RRGD50ayHqs2wK5Z0XElQqnHFJxzi6FOFT4qDmSkqCSDZ93koFhGGMim9JrKd+9fQL3dveI0e6bxsZGOjs7iUaj9Pf309nZSXNz87gy+HPIIYcdA+PtIStillQQA5ajjoh3o82R0n8PsPogAlnXRfvmWSpu5DuF76XzUV3XUVXTklESDSW4qSgKx8zM43fHT6Q6z2G1dNnUFeWhj1uJx+NWAFyS/qS/OGD1pdM0zapMF7eg4vwAp8/L469fmMIBk0xXoufWDXDBE008vroPl8ebwucCbo1zdi3iLyfVcNKcPJyqKd5e/UIr172UyueEP6T3lpQe2BKwF0iywkAwyD0fdnLzG2Yv7wVVHv5w4iS+tY/ZssShwlcWFDGvwoMBfNIa5ffvdnHqvWv52esdvLE5SCSRKmBk2zdIosRI+4rKgJNbj6pk4UQfCR2eXGOuTfMrPSyaEuBPJ09kqi1BUQdueqODG19rQx3FvluchqRaXY5VgujCr6cVO6kKOOgMJfnbx8OTyST5Ih6Pm22SdJ273m/jSw828JOXm2nqN+8Fj0Ph5LmFPHrmZG462hR4P4+EPXkOo9Go5SogCRCfF/7tgfEOqRjfflx6rC4W2xPj6edZ32ue8/aoGLcnmI+EeDzOxo0brT13b28v7e3tNDY2/lut9HPIIYf/TIyXV0qlrL3FnwRTJWA90rycSCSsymQYCiqKDnXOroWAWZX82Kp+FEWhJqBy/mDbvDvebWVzX9JyxPE6FH56ZC1HzypAN+D/3uvino97rOpg4ROiadohx6lpGpFIJKVYyG6fLX2uJTAqfFa02WAwaBUDOZ3OYUUydhiGMeJcHAqFMr5XEhEsrptIsGulh6sPLOOBs2bw1QWFVAVMXe6ZtQN865lmrnulnYMm+Zhe7KIvqvODl9pY3dJn8VA7pA80DGmCmXDXyRPYpWJoHf/du1384Z0O69xENxsP7PykOs/JTUfX4nEofNwS4YLHGjj/8SYWrx8gPbzudSgsmuLjLyfV8PfTannq7EnMKRva03zcHObou9axpTtiBekjkYiVvGpHeuBPCmQk8cPtdluvkSQF6TUu1eKS9Pp5BBHtOmX6/R1N6Nz+fhc/ermNrnDSclc4bV7BuHtvZ8O/o4p4XWeUXy3pBOCYGQHe2RIiPFgFf8b8gu3yHZ9Fb/j/RMg8LtxyJPT19VFfX08sFiMYDNLd3U1rayvt7e2f09H+byEXGM9hh0MmG/GR4FAVvjC/GABNgaQBn9iqUMRSx94TOhPE2keqYkQgTK8oz4ZQKGRNkBIsTxdvjp9XSrnfYVaNb45Z/Wl8bidXLCwdzOoM8fS60DDiBSb5ikQiFhm3L0Ii3h4wJY/LFlYC8LcPO3hqVbdZSaTAyfNLuOPEao6fZVp7v90Q5ryH6/jbR92E49nJyImz87h8vxI0BV7ZFOSGV9tSBESx6tF1na/vXkR1nhkEvu3dLnau9PDzYyZy+ymTOWiyD1UxA4I/eKmN7zzbwotru1HU4X1lvF4vR0/3UebX6AwleXVjPzceVsbsMg/9g/ZGy1qG3mNVeKkKl+xTjKqYFpUft0RTemYKWgcSfGFu3qDtu45hwKFT/Vy8VxE9gz0xnYOXb+dK8/o/vLLPGncRI6Wvitw79oppl8tl9rKJx/nVm61EEgbzK9z8+YQqvrNvCaU+B63BJL94s4PvPtfCJ81D1UJCdmWztHOFh98dU2kF83//VivXPLuZqOFgbrmXP540ma/vUYTPqbK6PcJ3nmmmIyiBcTeN/QnWdsZQFThoG22AskESRARS4eR0OnG5XHg8HotI+P3+FMspEfNlk/e/jMo8J0fPMFsF3PVhj2Vv9p+EsQjPW/rMOac6b9syaH0+H5qmWQKBuFGMhubmZtatW8fmzZtpbm6ms7OTtrY2+vv7c/ZFOeSQg4XxCpjSkiTbRl8EQ7E6zAbhhWJLDli9Fkfjucag84usqZn4qIhwEjT3eDxW5a9gVoWf3xxdxUFT86zf3bm0m6Y+M/ikaVqKGGk/Z8MwLEccgfQddzqdFDiSXH/ERG4+ooKpRU6CMZ0/f9DNef/awIdNwzlsgUfj/N2L+fNJNZwwpxBtkA9+97kWbni1jU3dMYtbiYAm3NbOLeS8pW92fzjGza93cP+nZpuNE2fnccuxk3GRYOdKD/Mr3CR06IoY/PzwCu4+tZavLihkcqGThA5v1wf5+RsdnPPQFn65pIOlTWGSupH1+ovj0Wh7A49D5aoDSvnyoGANZvJuTyTJxGIvtx5VyTEzUxMV32oIc+YDm2npMUVe4UySjKFpmpXIK/eEVJbruo7P5+PjQbv8BVVevjvo5PTM2gGWt5iCtbgFyF6loz/Mz19v4/i/refejzqtHu2lPo1L9ynhma/N5tKFVTg1szejPYHis0b694j4LueQjVd6PB5cLtcwC9r/JnSEEnSFk6gKw/qcbis+b4401oRL2PaKcUkYkWo64ZWjfX8ymWTjxo1s2LCBhoYGWltbLSEzV02eQw452LE160q2QhR7EuRIwZZkMmm9RnpRS/VueWGAiQUm1316zVA18tEzAuwzwUtChxtfaSapDPHhZDzGJXsVcfYuZvD8weW9/OadbpKGYq2rkhhp52DCy+wFOgKn05kSIE8PaAsft7/P7giTST+VIPtoyKRdSFsWSSC1Jx/kOQ1Om1fA7SdWc8vRE1g0NQ+HCmvaI9z+QTdb+mIUeDR6I0l+8GIrjf3JlLVT0zQSiYRlES7XQnh4+j1yyzETOWn2EOd7dn2QK55rAoZ45dYWlCiKgpqMUz1Y1dwWSmuzo8D8Cg+3HD2Bp86dxXWHTWRSacBaF/9w8hRuPrLaslhPGvCVh+q45Y32lGMKh8Mp5yXjIUmL0o4IsKrJxQLf7/db7VwcDoeV2Cv3x+eRhJbORZJJM1mkrjfB5c+18uTgs3PyvCLuOHUqO9cWWVqlnVdubYLm58292oMJfvLKUPGXAWzqjlPgVrliYel2C/j/O7Tbz5OXSdFOMpm0OOVYvn9gYIC1a9eyadMmGhsbaW9vp729na6urlzS5TiRC4znsMNB+iOPFT6fj0Mmu8lzqQy27rYsfu0QIWckwiF22E6n07JxlJ7SY4EESAX2RTMcDoOe4KwFZvXKfR91EIqafaqTySTzaoq4cK8yAP76QSfrB+3zJNgqmXRCJP1+v3WcQqLl+07aqYQvDWaA/e6tNl5e22kdQ2m+jwv3LOb3x1axe42fuA7/WtHHhU808fLGgWFBOsn2O2RqgOsWlePWFJY2Rbj2xVb6omY/bCGrsVgMn0vjmkNqUBVYUh/iyw9s5PHlHRQ7k1yxsIw/n1jD8bPyTEvNzii3vNnBeY/U8+TqPivY7nQ6zUQFTeHLg5bn/1rRi2HAL4+bxC6VHsIJgx+93MbbDSHr+gp2qS3ihNnm+d/2Tge9QZOk2kXMx1f1ceULbQTjQ+cbjOn8delQVU2+2xzPfWvN971eF6QtmLBcAaSiSXrlSGasqqpWRZHD4eCp1X0sb4vicShcdfAEvG4Xh04L8KcTqvjq7qV4HAprO2N856kGfv5mJ50xzbJGFRv4ZDJJgUfjh4vKuHjvMhwqvLslzIWPbWZ1VxKHpnLGbpX86fgqy6pb8G59H69uNoXS3au9FHo+O5Ew00YxHo8Ti8WGZRUDVgWeZAu73W7Lims0SDKCJCKIm8J/A740vwCvU2FDd4w36jJvlAX/jiDvWMheV9icp6dug2AriSXpc/54qovsCIVCbN68OWNiUQ455LBjYiyCmkACv2OpXIhGo6OKWLLeSXKmBMrT5/VMooKu68Nel95jUKqPpBelrusMDAxYLVqi0Sg+l8q1iyq5aE9T/EwacNkzLaztjFlBeknCk//LMYozjf07JWgP5tjuVO7h10dXcek+JRS4VRp64/zw5TZ+8kobTf3Dx762JI9v7lPK7SdWc9hUP6pi8plvPd3MT19uoiOWaq0pY20fUxEfWwcSXPF8C281hHCqcNm+JXx9j+IUseesnQsBeHZND23BBKVeldPmFXDbcdX84bhqTp9fSIVfI5wweGVTkB+93MaXH97Cb99sYVV7JMWqXsZUxmIkcUwsIo+cPiSEbulL8J1nmlnbHibf7+Ube5Vw1QGl2LuR9ESSnPtYM8+u6kyxkZdkDPk5U9VCMBhkWYt5fLtWephdpHD0rEIM4JdvtOBweyy3gDXtYb73XDNnPdTIyxv6kHzXmaUefn3sBB48eyYnzCuxKoacTqeVMGK/Np8l0rm7nLucg51XStBeKunE7UCE+LFUY6UnuIp4+++AVItPKnTicWzfY/h3CHJjGcdwXKctaB7b1gTGZb6yV2WO5/szoauri7q6ulzCZQ455GBhPLzS4/FkDYqnw15okwnC9yTw6vF4LOvyL8wzta/2UJKmvpg1H166TwnFXo0tfQn+762WlM9XVZUvzc/nsn1LUBV4aUM/Vz+zma7+oXU1kTC1L/kucZkRLiTuMxI4kgCv3+9PKSSR44dUzivrOGBVdgvcbveoYyetjjLt/dN7SkuCqbSQAbM159wSje/tV8zdp0zg3AWFVOU5iCSwWgT1RHQufaLe0mflszMFdV0uF9FoNMX+Xl5//h4lfHe/Yut3qzrifOXhLdY5jrZOZQpKf9gU4txHGrjoySY29qTel/lulW/sU8bz58/m18dPYucKN8lk0qrkl8SBZDLJXpMKeOmCOSlr7+ubQxz3t/WE0m53SUSUwhfRcjLpcMLHJKlDgufiCARDLZw+D9i5e1I3eHhFL99+upHNPTGKPBo/PqSc8xbkoxpJKzYgCQHCK8WxazRIIq/cc/L+zyOQHI7r/OTVNrojSSYXOlk4ycez60z3qsv3L6XEt+3W8IJ/R2BcXNI+a0jSiuzHBPYWGeOBrus0NTXR1ta2vQ5xh4Bi7EAsvK+vj4KCAnp7e8nPz/93H04O/yb09vbS0NAw6utUVU0hmvd90sN9n5jVIpUBjTtPmpDxfdLHcaTPHW1hlsk/0+MpgR4wiZFkxontYm9/kIuebKJ1IMGFe5bwhV1KSSaTVuXLT19t450tYSbkO/jjyVNQkuYkLP2kpae5VKtEo1Gzl+OggBkKhfD7/ei6zi9fb+aZNb24NIVfHDuR+ZW+FHIbDod5d0uYO5d20zJgBv9nlbq4YI9iZpW6h50PwKr2KD9+pY2BmE5tgZOfH11LviOZMnaqqvL7t9utxRdM256Dpvg5ekYeO9UU0NYb5KnVfTy5pp++wQrtfLfK8bPzOWluEV5t0CLeMPjOsy1s6IpxwpwCLti9kHjS4BdLOnirPoSqwLf2KeG4eaVWkDoUChGK63zjySY6QklOnZvPubsV4XQ6zSBt0uDiwWswEvxOhWDc4KydC/ikLcanLWFOmVfEN/YtT7kPhNxZBFtVrWrxxt4oFzxSRyRhcPFexRw/uwBFUazgv6qqdAbj/GNZD4s3DKAbpvPBMTPzOGPnAsumWlEU6xp7PB6WN/ZyyxvtNPYnUBWzX8zX9q4iGjGJ22Mrurn9g6Egv0OFhA5XH1DKwkkjV4zrhkFCh3jSIK4b1v9jSYOE9TtS/hZPyr9B0RwEI7GUv80pc6d8r2SPpm925N5Ov+/S4Xa7icViKRss+/MoRHSsG9F/Bx74tJd7l/VQEXDwp+OrcWqZSaVYmo0HEqxJJ3Hjgdvtzhog13WdE+4z5+nrDipl79rt70Iw2lw9EsrKyqioqNjOR/TfhR2dU+3o55/DEOrr6+nr6xv1dVs7b442V422no32GXZ+IeKf1+slmUxaVTBer9dyFBK7R/tnyjG8vDnKr95oAUyuceHe5Rw9zWMJeKqqWhaI8m/hHcJB5DPdblNgk56QPp+Ptp4B7v+kh6fW9JM0TO5x4ux8Tp9fgG/Qhid9TWvojXPfJz28sXlQGFTgkKl+zphfyJTyfKs/ZTqWt0a48fV2+qI6RV6Naw4stewgHQ6HldTq8Xi4/KnNfNIS4agZAS7Zu2TYtTEMg429Bi+t7+W1TQP0Rof2AZUBBwdM8nHQFD+TC1MTIUa6ti6Xi0QiwVtbovz05SZq8h1gQGN/Arem8J2F5Rw5uwRd12noiXDDS01s6Eq99/ao9nDtQeUEfKYdqMPhsPYV8XjcSiwUXlnXFeG8h+twaQr//GIthXl+Wrv7ufjJJnoiOmfuXEBVwMG9y3qsAKTcC3tP8PLNfcspsJ2iVPTYE4S3ZW3eGogYOdJzKfeU/N9+jPLv0biU/VpmOkfh9lubuDde3P1RNw+t6OPI6QEu3adk9Dd8xvB4PFZSxNbA/kxmw7rOKN95toVCj8rfT6vdqmPMdn3kOdnapIDp06f/R/e0/KyR41S5McjBhK7rrFq1akzJMqLVjSfoJwHtkd6TaY+u6zqn/rOBuA77T/TykyMnWevYspYwP3ixDQP44SFV7FU9tNBLFfXHLVGuf3EL4bjB5CIXPzm0kjK/w0ryk/aJUggiAUJxsLGvv0CKVinV1eJ+6fF4UizIxblIVVWrFabV5mWUdSObditJn+nvtzuKZIPL7eaTljBPLO9kSX3IKr4COGCSj7N2L2eCL/P1F/0XMvMKj8fD6uZeLnm6Zeg9GjxwWrVV9JQp8UJ+73a7iSYN/vROK4vX9RNLph5HwKUyqdDFijZzLbx6UTULJziH8VXZR2iaZum3Eih/ZWM/v3izI+VzT5od4MK9y3E4HFn1IbkHnE4nuq5b7TLle+Xvdj4wkq7+WcHj8dDQFeRXS9r5tNU8l31qvVy6dwkFgwVEPp/PcvmC4bxwtJiBFP3IWGXilWPhRVuDpG7w09faeb8xTKFH5eoDyvjxq22E4wZfmJfPVxYUbdfv25p9gcPhsPTwrb32Y9lfbytGOrdt2Q+53W5mzJixLYf2X4/xcKpcYDyHHQ6NjY10dw/vhWeHCIP2x6MvmuTcRxqJDpKDO0+spjIvc7b5SIvQWCe4bK+T7EE5tvTv8ng8PLOml1+90UKRR+POk6rxODWLRLb2BLnkqUY6Q0mOmpnPJXsVWeRCMjHtNobyPiEfwFDgNRrjJy+38E5DEL9L5ZYjKphTXWj1BrcqfpIGj63q44HlvUQG+1AeOtXPV3YtpMRvjqF9rLf0JfjBiy10hJKU+R385JByK7vQ7/ebn68bfOPRTazvjOLSlBTSNqPYxdGz8jlgohdFgZc2BHl0dT8tg5VFbk3hiOkBTpqTT0XAwbKWMNe+2IamwP8dX01NvpOkbnDbe128sN4Mvn999yLO2L3SIrq6rvNuQ4gbXmtHVeA3x1QxpzKPzj7zdyvaojhU+NpuRRR6NP61op9N3aNXyaoKnDInj7nlHmaV+yl0D1Xu2AlePB7H4/XyrUc3sLwtys4VHn51wmRURUnJCtV1HbfHtLha2dzPPR92smywFYDXAYdPC7BPrR8Dg6ShEk0krQB1MK7zel2I1YP9Ocv8DvaZGMCpKmzqDPNRSwT34NjL6Bd7VIp9DpLGUCA7njSvlwSyE59BwqZdjJZ7VjZGUgklf7MHxhVFSenfJFnI9qB4NiFspMDufwIiCZ0LHm+iK5zk63sUceLszOveWM9DNpmS3Q3ZExDGgmwbM4BV7RGueL4VgIe+VLtV1UyjidTb0m/K4/Ewffr0rXrv/wp2dE61o59/DiYMw2DVqlUjziVii7e168Voc/S2BhLt75eKdjsnE95ln/ulhUkymbSSBqVP+E2vt7OkfmhN2H9SgEv3KiTg1qzqFunLKO430uZI2g6BuYbLGiPCpqChN86dS7tY2mTO8UUeja8sKOSQqX78GSp7PB4PK5v7+PvHPbzXaP7NocLRMwv48h7llPgcliVnLBbjxboIv1/SStKA6cUufnx4DQXO4b0OwaxE+aQlxNWLW3GocMcJNZQP2k2mrzM+n4/+gSAft0R4fXOYt+qDKa2GJhc6OXxWEQdPySPfkcgqykhiQSQS4ffvdPL8+gFOnJ3HGTsXcuubHXwwaDX/hZ0KOXvnfDRVIaHD35b18eiK1D1QnkvlliMrmV4esFyE5DtEmJa19LmNEW57q5Xda/zcetwk65q8vLGfX73VNew4fU6VY2YGOHN+AS6HOuxe9vl8lnAaCoU+tz6Q6RAumI0ziNCd7uIEQ8+PnJvcs4BlfZp+HbNd189DhBNc80ILn7RGuXTvYo6ckTf6G8YIseAdDZJgKhxd5hyXy4WmDW+BNRaMNn4vbRzg1291snOFmxsPrxz352+PJKVsqKiooKysbKve+7+AHKfKjUEOJvr7+9m8efOIr5F1aGuDXls7V934WhtvNYRxafDs12anzIeSbBVwqdxxymSrsMW+JmzoinH9K210h5OU+h1cv6iMyUUm5xMnw2g0SiKRQNM0XC5XStBTgqxASnKa3WFJAuwOh8Pqry09x+VzJJHJzitHQqa53+/3EwwGrWOy234L5PsliB6Lxayxl//3RpI8vbaPB5f3pWhk04tdHDUjwIGT/VbiZ6b9gP134j6USCToHhjgjAebrKC7Atx1SjXlAXdGnuXz+XhuZTv/+KSHxr7U+0oB5lV4OH+3QnauLSIUCnHn0i4eW9WPpsAPDy5n38kFlk7k9XoJBoPD7lNpKRqLxQiHw5z3eAtdkaFj8TtV7jqlEp8zs8Yu7gV2rma/l4V/SUV9IpGdR3+WeK0uyP+910UwpuNxKFywRxGHTwuktLKU+1MSjgcGBlI+w/7cCB8HrARCSWQVjJTAsb1dfP78QRePr+7HpSnccGg5d3zQzYauGHPL3Nx0eMV2s1AXjPUaSuKHFOoJPB6P1SpivPgs9V5xgh3p+mxNAZNg5syZW90+4X8BucB4FuTIZg6GYbBmzZoRSeRIk48sAgDf2KuYY2ZmFhJGmrzHOrHbswEzHWOmrHr5fTga58InGmkLJjl/9yJOmpN6v6/u1rni6QYzq/PQavaf6LMW6GQyOazfoyyygUCAaDSasqioLg/ffbKOVe1RSn0at500hXxH0hLT7MfYGUpwz8c9vLTRJKFeh8IZuxRz+oJyHIppLRqPx9F1ne4oXLO4iYbeOHlulR8tKmfnmrwUK/zGvjiXPdNMJGFw7Kx8BmI6SzYPWKTS61RYNNnPUTPymFzoZEl9iIdX9lkVM6piZmWeOreAez7u4YOmMPvV+rjmIFOYMAyDu5f18/ByU0T80vwCztq5wBpnVVW54ZUW3qwbYGaJi+uPqOX7zzawuSeGz6nw3f1K2KmmgEgsQU84xlXPNTPomMTkQif9MZ3OUBKvQyGcyDwVuzWFfLdKwK3id6p4nSouh0o0odPSn2BLXxwFsw+zogxWYRsQS5jB6FjSQP8Pn+UdKjg1BaeqpP0/2+8VnBp4XU4UQ8epwaxSN/vWmhsREdHlXrIvc0LQZaOV/jz6/f4UK3Z5T6Zn9rMgmtsbz63r57Z3u8h3q/z5xBr8ruEB5pEC1LJ5tGe0pmNbgjLZxvb+T3r4xye9OFV49MxJW/XZYss6ksi+Lddw1qxZKb3EdjTs6JxqRz//HEwEg0E2bdqU9e9S1butwb6RNuZjCSaONM9D5oTQsTqjqKpqWcEBBHUnX35wA9GEgaaY1uoVfo0rDyhjVqnbmvfFpjN9zZXzkfYl2dZrwzD4oDHMn5d209Rvcs0ZJS6+tX8V8yp9VqA7Ho+n9LFc1xXnL++1Wn3KXZrCsTPzOG1ePvleJ396t4On15pc/4BJPi7bt4Ti/MCo43Dti60sa4lYFbiZxjx9zYkkdN5vDPNmfYR3GwZSRNG5ZW4OmZbPomn5+DTdSmCVNVmcmb7+eBPN/XF+dHA5B0wrIhZPcO/H3dy/zAxU71Hj5Xv7lVBelEcoFOKdxii/fL2FmE6KYHreboWcuUeVxdtlD2JvaXTjG50sqevnqwsKOW1eAX1xhT++18lbdf0pFU/lfo2v7l7KkbOKUviBrJn2cZE2ACJeCyTR4vNEJk5i71kqFb3pvFEqlOS62PeRgUBgRMFztO//LJDUDb70rwbCcYPbjq2yAhPbAyPtX8WNLZtLg2BbhMCRvl8CN8fOzOPivYozvmYkjMVtamsFVJ/Px9SpU7fqvf8LyHGq3BjkYKK5uZnOzs6sf98e68RIRTwjzb+NfTEufKIZgGsPqWbf6qF9cEI3uOL5FtZ1xphf4eEXx9SSiKfOxU6nk46QztXPNdDQG8fnVLj2oDJ2qUxtaSLtdiT4JxxOqpDTj8/udgmk8I5Mji/ymrFoGA6Hw2rFJ9qmBFwlmdPeYiNTAqDwGTkGSQa1c5yecILvPtdKazD1ungdCgdN9nPUjIAVlLYj0/0gvMowDE6+d31Ka8cbDi5jv+kl1nk3hRT++n47HzQGhxWv+F0KZ+xawkkzh5z75Px0w+A3b3fx8sYBPA6FGw+rYGapOyXoK+OUngAnx+xyuXhoeQ93vNee8r1f37OUE2cNdwvMdK6ZrqG4Hum6TiAQsPZInzW/Gojp/Om9Ll6tM7XuWaVurl5USVmaGYyMiVT4w1CbP2mVKW190vd4mZKtR+Ie2zuw++zafv7wnrm/uOqAUla2RXlyTT/5bpXfHVNFqX/7WagLRnPPkvlsJO6ZnvQ9VozEKbcHxuM2NV5UVVVRUvLvd4T6dyEXGM+CHNnMIRQKsXHjxqx/H21iag8m+NqjjRjATuVubj4ic7b5SCLlWCxNxioISC8ReYztpOD5df38/t0uCj0qd55UQ1Ge36ri9nq9/PndVv75STcBl8qfTppIkdv8PLvVjV3Akmw2IZZSOe3xeOgJx7n86S3U98SYWOjidydMJs+tWtbr6VjbGeP29ztZM9jfrjLg4Lzdi9hngtfKpPN4PLT2BPnJq22s6YjhcSj86LAa5pem9pZ5dm0ff3ivG02Bnx5WQcCl8kZ9hJc39NERGhKdqvMc7FblYUaJi4a+BO9tCVPfO0RGS70aHYM9jfer9ZLn1ojrBrqhsr4zzJbBzMkij0qJz2FZeMd06Ahuf4uazwoKWEFnHYgmhgLnHodCRcBBodeBS1NR0fG4nGjoxJM6n7RELPvPQo9KT0RnTqmLdV0xEjocNNnHspYIPYOZn9OLnZwyt4CafGfWILdD3ba+MU6n0yLekoUaCoWse1eej2QyaYnrTqfTeg5FuJaNSSa7pZECCukW6/9pSOoG33yqiS19CU7fKZ9zdh1ubZQ+XzkcDsvOcyzBnG0ljJne/+NXWnm/MUKpT+PuUzK3rRgLRptLtyWon7O93LE51Y5+/jmYGEnA3F5Bcci+MR7r/DuWuU4szQEriJxtM57ebkjWXwl4PbYmxJ3vt1Pg0fA4FFoHEjhUuHDvCo6b6bcqWsQ+3ev1kkgkrGChWATKOi1jqKrqsAqfeNLgqbUD3PdJN+FB8e/gKX6+sqCQ0sEed5nW6nW9cOd7baxoNcfFo0G+R7MswM/ZpZAv7pSfEhgeCSvbIly5uBVNgTtOrGFyWV7GMc92LQaiSd5pivLapiAfN4UsJx5Vgd2rfSya4me/yXk4GeK2rcEk5z26BU2BB780Cbc21BrptU0D/PbtTqJJg+o8Bz87aiJlbtN2srkvRsCtcs0z9axoHxLM5pW7uG6RyaXlmiYSCfM+iyc46Z51hOI63zuwkseWd7E+zZpdAQzg0n3LOWZmAJfLZVVMiwgoVVZ2pFdQjTROnzXsxyAV7RK0t/dnFXFbhF/pq+lwOAgGg9b9ln4eoyU+fx5W6vU9Mb7xVDMeh8IDX6zdrtU9mURYr9drOUSMhtGSeEbDSOP7k1faeK8xzMV7FnPsrK2rkh9JpNyWPYHL5WLmzJlb9d7/BeQ4VW4McjD1h7Vr12adA7dn8lS29Wa07/jqI1voCJl9hW87rjrlb039cS57uplwwuCcXQo5a0HJsDZCiUSC/miSn9ocFi/bt4SjZpdY7XvE7l16JkciESvYKTpOKBRC1/WUVj/SOtKuZdgLiqRyVJLngaxrk+gjYx0nSeSUNjR2pOtL2ca4J5Lkmhdaqe+N43cqBFwqrba2NDNK3Rwx1c9BU4aqyEdr4+Hz+Tj3wfVstvUH/9K8PCI4eHl9r9Vy0o6JBQ6uPLCSyQVaSvKrveWLoigompNrn2/go+YIBR6N3x4/kVK3br3HztmlmluKVuwW68FYjC/9Y2NKAL/Yq/GXEypwu914PB6rzY849si+QcYg/RpKAuLnxas+bY3wq7c6aA8mURWzoOr0nQrQVMXigVLRLPe43LtOp9PiD3aXy2g0ajkQ2XlkOq/cHkV5Y8FHzWF+9HIbugFn71LAxAIXN75uJjX8aFEZe07wjfIJW4dM52BPONma92/r928vyL4h23nkWj9uPXKB8SzIkc0cmpqa6OoabvXndDotC0c7hFQBljDy45dbeb8pgqbAw2dMxJFFTMg0gY5lsy+V1uMVUtO/L6EbXPh4I63BJBfsWcIJswKWGOX3++kbCHLl882s6Ygxv9LLr46bRDQyZPcn2WhSXSsBxlAoZNljay438aRBMBylK6Zy48uN9ESSTC5ycfbOBSiA4nQRDEUGLbQVDFUjmtAJx+Js6knwUWPIsqcv8mpMLnTi0hSShkI0oRNN6DT0xq2K6oBLRVPs/afHNUyfO1QFnKopFUbT+KpUilfnOZlQ6MKhGHzYFCaSMJhX4WVivkYorhNKKPRGknSF4nSHkyQzzNqqAlV5TiYWuphc5GFykYsaPwTcKgUBH0YyQcDrJhoOWfe0oihEk/DPj9p4eGWfZXO/cJKfL+9awPSKAquCzOVyYSgad77bwr+W91jfu3u1h6VNESYUuPjjcZXEkgYPrejjoRW9xHWzGvzUuQV8cad83Fthhz2mMR4k32KBKpspEdbB3IzJhkGqoDPZWtqD64KRhK7POotwe+DthhA/e60dt6Zwx4nVlPhSMzkzncNYhcntIVxn+v6vP9ZI80DCsruUawykbBrGgpGOcVuI7ty5cy0L/h0ROzqn2tHPPwdzLlq9enVGMSpb30dJaATGZYOZrSfkWOawrZnnRupBaa8ul+B/epA8ltA576FNNPXHOWVuAS0Dcd4atFfff5LfrMIOmGNkX18DgYAluMn6LVUm8jp74E34qaIoNHb2c/+KAZ5d3YOBmex3+vxCTpydR0HAl9LiR84jGAzyYXOEOz/oosFmHXnotDwu2qMQr1MdV4++615q5aPmCEdMD/D9QydaiXnpTkzpfbXtf3O5XGzpGuDdpjgvrO1JCT67NYW9JnhZNNnPwuklPLm8jdve7WJumZtbjqy0nJ+kImpdR5jrnm+gLZjE61T43v6l7FPrt6qgnU4n/1jawl+WDtmrex3wk0MrmFPmsTiRoih82hzkW09stoLfAocKB07N57xd83inKcHv32rF61T4v+Oqqchzpdg9yj7E3sYmFApltDb9vMTMTEjvEZpeaSbXTu4newAdTEFWehtmshLNxkm2NSg8VrywwUyaGCnJe2uR6XkZD1feHrwy25wn3PLGwyrYc1IBMCSoj2ffPdK9ubXXMC8vj0mTts4h6X8BOU6VG4McYGBggLq6umG/z+bgI78XjIfrZZvHRpuvH/y0h3uW9QLwzy/WEkhzo5OWFaoCtxxRyewyd8bviyUNfrWkgzcHueFXdi3k7N3LiUajVmW4VIs7HA5Tt4pGM3IK6dcs665AVVXL1tuewGnXgTK1vBE7djkWXdct7m5PnEvn8SONnV1PGomXd4eTfP+FFrb0JSjzaZy7WxHvbgmxpD5kVXR7bFXk04tdVoA1E0Qju37xFt5pyuI8pYBugM8BNx1Ryaxyv3VeEoCUYhTAsq6PRCKE4jrXvtTGuo4oFQEHt504Ga8ST3GHkn2S7IEkkC/HLHuJO5d28ciK3pRju+bgSvarSb2HZJwdDoelV9sD78K9ZO/wWXLJeNLgH5/08PCKPgygKuDgu/uXWve9wOfzpXBce3tHwErokHFPv5fcbrd1X7rd7pQE089K67KjoTfO955rJhg3OHiKnzN3LuDbz5g/nzInn6/tvn37ituRLTA+lvPa2thKOsbC7cTqP11nHssxyn4xHduiNU+YMIHCwsKteu//AnKB8SzIkc0cYrEYW7ZsSelVAwxbLEf6/bq2IBc/sQWA7+1fwqIpgYzfJfY19gl0LCLP1k5+8n32AP/i9f387p2hqvGAx2XZMMZiMW55rYmXNwbRDbNquzzPRTSesALOicEAeCypW/+O/4f7ciuA25Fqx62qCpG4zkBMTwmk+50KNflOSnwOmgcSbO6OWWKfx6Gwa6WHuWVufC4Nt1NjdVuYZ9f2owOzSlycv3cF6zoj3PV+u/W5u1X5+P6ichQjSb7fRyxqVpRcvbiFT1pMwhJwqQzEdByqOcZnzC/grF0K8Xg8/GtZG7e/301lwMGfT5qAgmGJhbqu43S5ueOdZh5a0YemwIxSDw29MYKx4Yu9AtQUuJhS6GBWuZ8ZpR5mlHoo9rvQdT1lwe4OJ/nnigGeXdODbphC57Ez8/jyHhW4GbqHXS4X79T18uNX2kgaQ9VBX92tmDN2Kbbu96b+OLe/P9T/syLg4MI9ithrKzMJZTMiS1a6HU56n0p7FqG9h6G8FlI3NvJascUCrE2QqqqfSRbf5wXDMLhycSur2qOWxasd2SyoRqvskWq+7UEj0sntqffXE00anDwnj2/uX008HrfIomTbjmTvnu3zvV5vSib31l4/p9PJrFmzxv2+/yXs6JxqRz//HEz09/fT2Ng4TEBKaTkzWF2dKbN9PIJFut35WNpFbIuFnt/vJx6PZ+1hJwKUJNsFg8EUnvt+U4Qfv2z23f7DsVV80pHgjnc7iOsGFQEH1x1azewyb8raLFXFUhEk83N6FW+mf8t3r+uMcscH3awarISuDDi4aJ9y9qwyj9PeyzgWi/HulhC3vtlBOGGgqZAcHM4Ct8oXdirghDmFqIxNUFnVHuGK582q8TtPrqXMp455jZVgqgRkhavUd0dYvKaLVzcFLct4MHuD+10qLQMJvjQ/n7N3KRrWa1HXdXrCCW5Z0smy5jAKcNYuBZy7V5UlOvt8PpY3dHPlC61WgiRguswsKCGeSPLXD7t5dl1/is1mnlvl5HlFnL1bKYphctWBYIirFreyuiPKXjVerj+0MuX+lCRb+V260GQXUD9LfiXJkzB0P6Q/R8IXNE0jkUjgdrsJhUIoipLSrxRIqYjTNM06D6lMk3vZbhv/78Qf3u3k2XUDn5mYmenafVZJPNmQfm9FEzqn/dNsI/bwOTNwG0PzWib73ZEgFT4y/41UyTVWlJaWUlm5fZMU/puQ41S5McjBXIfa29tpbzerMLO5uNkrT+37cLvD41gwnspT6ztcHo65aw26AcfNzOOitLYUhmFw65IOXqsLURFw8LtjqqxWbukFCLphcM8n/Tz0qZmcd8LcQr65Tzkup8MqyLEfk/BOmdvtn5ce4LZbUoOZyGYPTts1V3tA0l5AYf9uqUgHrKCsWKinf4YdksA5nnHuCiX4/gutNPYnqPBr3HxEFYV5Xp5a3sHz6/stJ0uAaUUujpwR4Oi5pSiJVG7h8Xj4sHGAez/sZGVbZFhxjVuDHyyq4Lm1fSxpMI+vwq/xq+MnU+BIDDuv9OMW3t0TSXLl86009ceZWuTiF0fX4FZ16z1SlS8tgOQ6yNorhS0ul4veUJzT799AzHawNXkObj+xJiN3Tj+mkX7e3ryyoTfOL95sZ2O3eT8eOSOPr+9RbFXz2+9HsfyWFk9iwS97HrfbbbXdSW87JNXx8j7p4x4Oh62EgGz30/Y4595Iksufa6F1IMHcMjfXH1zOtS+1sq4zxqxSFz8/ojJrseD2QDYr9LEkLm8vK/mRYjQOhwNN04a1UBjJ3j3b50sh0PY45mnTpqUkTu1oyAXGsyBHNnMAs/K7rq5uWOWIZFyOZsnhcrk44/6NdIaTTCly8vtjq7O+FoaC7GPJHJKg3FgymuwVlBKcEjtpOc9QJMqFTzTROpDga7sVcfYelSmC2QWPbaGhd9uqXe39oV2auWh1DlqSF7hVJhSYFeAOVcHj1FDRcWkqHpfDtNJWQFN04rrK0sYgm7rN4/FoCgdNCbBblRu3Q8XrcfHM6h5e22QShiOn+zlrQSmKnsSpKXzSHObGNzoA+PnRE5hXog07Vt0w+LQ1wnPrBni7ITSsF/nCSX7u/6SH5W1DC1G+W+X4WXmcOLeI4oCbN9Z3cdMbHcQGrSmbBxIYBsyv8LCiNYIO/OCgMg6ZVUooFMLv99MfSXDi39ZaQffj5xSwoSPCykHR9qTZeVyysNq89qqDsx/YRF9U54qFpRw6vcAKAhqGQVvI4KLHzKDhRXsWc9ysPJxOJy0DCTb1xFnfEWF9Z5R1HWE6Q5mDhiU+jRmlXmaUephcoDGlwEGZX8Pv97OqqZe/fjgU0Pa7VE7fqYDjZ+Xh8wzZiX71kQY6QkP36R7VHr63sIzywqE+nIZh8HZDmDs+6LJs7fee4OWCPYqpCIyv/0z6Zic9yURESMlETd/MyPMimycJXogFVzgcJplMWtm/Yp1l33BmIjifVz/IbYVYvKoK/OG4amoLUntjZyKWo53b9q6Wl+uQ0HVOuq8BgB8fWsHuVZntysc69lJ5KJtSyao2DGOrK3sCgQCTJ08e9/v+l7Cjc6od/fxzGEJfXx+tra3WmiLIJlymYzzriHBVCYiPNH+JDeVYM+VFcBTrclljA4GAZUOZvk6ki4n23ouhUIgfvdzK0qYIe9Z4ufGoWlY0D3Dz6220DFqrX7BXGSfPK7Lsp/1+v5XIJolp8j0SiMwUGJfqY+HDuq6zZEuU299ts9rd7Frl5fzdCplc5LKSCh5eNcBf32/HAHau9HDFfiV83BrhvmW9NA+Y7yvxaZy+UwGHTwvg1EYWflRV5bqXWlnaGOKIaQG+tW9JVtcZ+3il95tMX5ukanttR5Q36sO8urEvhePlu1UOmxrgiNnF1Pj0lD2NYRhoThd/WNLM46vMSpyFk/x8d2E5fvdQ5VUsoXPV4lbW2SrUvU6IxFMrxAs9GpctrGTPyuHuMw6Hg1VNPVz2TDMJHa5dVMm+E4aqZtK522j9IjP1UtweyJSonC6+S/WZMRj0l6C3vfJJLEFl/2W/lvJZ0t9S7DLlb3YbzfR2NmN1KNhaXPZMMxu6Ylx9QCkLJw3v47mtyCRESjJCtoTG7c0pxRVBxnJjV4xvPdNMvlvlH6dNyNjGaawCqtjx2nuoZkrWGQ+qq6spLh5/3/P/FeQ4VW4MchhCc3MzAwMDw+ajbMU76RjP/laC75KYOBLE0vrK55pY3hYl4FL55xdrh70uGNP51tNNtAaTHDotj6sXVVlrn/TsFi1W13UeX93HnR90Y2BqRVcsLMXjUK2KcLEpz5RwJWurtIL0eDxWsZCdV4o7jQTYpCJczkvGVNZ5CbqL66AkHUgATAoq0gstxM5dfpdpPRjLOtE5GBxv6k9QGXBw0+EVlPnNQP/6Xnh8eSdL6oNWcY5bUzh0ej6HTfGS71b55/J+lmwesFw3BSVezdJqwUyyfOisqVzz/BZL/wu4VLP3e5WZoKnrurWGOxwOy+I7Go1aXGZDay9XPN9KTyTJzpUefnxwucWZXS6XpdNJ4YnwnnA4nDEY+IslnZbuC2Yxzo1HVLNzhcvi1JkCpulcIt3GPpuj13hgGAZPrx3grx92E0sa5LtVvntgFbtXpPJiO2e0t+ORxNT0REl7grBUw4smmUwmrSC6JJlKEZ7b7bbaDUg7gmzjMV7EkwbXvtjKyvYolQEHvzyqkgeX9/L46n4CLrOvePk4dd2twVj7y4/2nm1B+vfZHQsyYSwJ7PZjTb/28rlbew3nzJljFZftiMgFxrMgRzZzAOjp6aGxsdFaHIUMjiZc2vGPT/u4f5mZ2Xj3yTWU+se2GGSzQZLjkIoEEQJFzLQTrPTPs4sMQlbsE+fi9QP87p1OCtwq9505AyMesaqXFq/toT8S5+UNA6xqj5DvVrlgjyLy3BoBrxvF0NHQ8bqdeJwOXA4VhwqqkQQ9ic/jIpGBdL/TEOLG19vRDThnQQnn7lk+LFApx2sPTKqqysctEW5/r8PqgzO5yMU39ilnbolJAB5dHeSvS81+nodP83PJ3iVWbzypgCj1Objt2EoC7uwLQU8kycsbgzy3rj+lAmdasZPm/iShuE6eS6E/NmjdqSkcMT3AqTsV0hUxuOrZRqt6ftFkP9/Zr4R7l/Xw0Io+Snwad39xGkrCtBl69NMO/vj+kE3l9YdWM7lA4cLHG4kmobbAwZ2nTLayCP+2tJ1/LOthWpGL3xxTaVWn6IbBtx/fxPK2KLtW+bj1uInEB8m63FuSgKHrOt3hJI1BWN8ZZXVrkA3dMZr7M4ttAZfK1GIX04pczK7w0x+O8uTqPjb3mq+vCDi4cO8K9qzUMIBT7q9PqRwCKPNrXLmwlF0nFKQI9uG4zv2f9vL4qj6ShjmWp88v4OQ5+aOKzAI7sYRUgpBOUiQ4nmmDl6kfVDKZTAmc2yvP7e/JVHX83xIYB/jpq228syXMPhO8/GBRecrfMp2HfR5Kx2d13l6vl/fquvj+C20APPKlWlwjWPCP9Tjs949sru3W+yPN/QUFBRQUFNDV1WVl8jocDqZNm2Zl9O6I2NE51Y5+/jkMobGxke7uoTV+rMKlYFsCYZl4n0AEQ6nCkICxVLFmOr70gKH0q842R4r4Kuuufb2IRCJs6Y1zydNNJHT40cHlHDSjhM7+EL99u5M368z5dOHkAJftW4JXyz6np/eFNAxjWKASsCwaYTBpVHPx96VtPLLSbO+iKnDc7ALOXFDKH99q5rU687tOmFvIRXuVoidM3pLQDV7aMMA/P+2lfTAAXRFwcOb8AhZN8Wftyez1evmwvocrnm9BVeCOE6qpzHOOar0slUci1mYaA3uQOKkbvLChn9ve7R72utoCJwdPy2NhrYfpFQVW4oDD4eCplZ38dkkrCR2mFLm44chaCh0JqzrdMAx++mI9r2zKvq7+/UvTqQwMuVOl9+/UNI2/vtfKvR91UuhRueOkWqSDS7pIlEnsyVYRNJ592mgYreooPTgv/8/U/sD+WvvnSoKJpmnEYrGUQIUEBSSZQz7DMIzP3EI+mtD54gMNJA3468k1lI9xDzteZOs1nknEHK3H4tZCguPJZJI3G6Lc9Goz88rd/HwE+/j0RNyxvE6eHxH4R7p+qqpSUlKC2+22EqoA8vPzqa2tzRiw3xGQ41S5McjBRDwep66uzpo/x1q8Y8e27NNHCsJIAtzHjf1c/rTpoHnr0TXMr/QOCwCtao9y1eIWdAMu36+EQ6YGRjy2JfVBbl3SSTxpMLPExU3HTKLI67CqKBOJRMqaIuuJPdgqgVJ73/BsSQLiKChzrt0e3A5N0/B4PMMssMF0VpKCCkVRLH7g9/vRdT2llZ8dY70+HaEE17zYRlNfnKrB4Hipfyhg2hcd0jPtVeTpyHdrHDDJy5k7F1DgcdDWH+e8x5uspEdNgXtOreL6lzut5EhNgYv2LOaUXcotFyNJPJAkA+HlYpm+riPCVc+bPeYXTc3jB4fWYAxeC7vWZi80cTqd1j1nb08TCoVo7U9ywRNbUirdZ5c6+cPJ0zI6SmW71pk0aOmbPl50h5P85u0OK4lgtyoP3963hAml+SO2UU3nDOl6o/09knSXfux2W3/7fCDfY7eal0SR0XSukWAYBr96q5NXNgXxOxVuPaqKpr44N7xmOlr84KAy9qn9bPqKpyPbXjkbr9xeleLZvk+0xNHcK8d6HJlaOgAZYyjp8Hg8FBcXk0gkaGtrs35fW1tLQUHBqN/9v4rxcKodtzlmDjskDMOgvb3dykqTCtBQKDSuBeOkeUNWxP9K64My2vfLApUOEVJ1XSccDhMOh61sRBG1PB4PTqcpsInIKZt+MCdeEV8Eh0z1Uxlw0BvVeXyFGVAWArNwgoujp/v5xbETqQo46IvqvN8UY48aH3NLncwqcbJTTQET8jQmFLrJ0xJ4iJPnGewDbqtQt+Og6UVctr8pOtz7USePr+jKmOWZLjwoisI+kwv5/bHVXLpvOXkulbruGFc+u4WfvdZG60CCU+YE+O6BlagKvLAhyE2vtxMdjNCet3sR1XkOOkIJ/vBeV8o1dbvdltUhmBUvZ+5Wzp9OqOZnh5VzwCQfDhU2dMUJDaZeRhIGZ8wvYFqRi2jS4Mk1/Zz7cAO/eK0lxVJ+fXeMrnCSM+YXUBlw0BlKcud7rWafzViMp9b0W69VFZhdolHqc3DAYJVGQ2+CFzcErcqe03Ypw+1Q2NAd49N2k/DE43Ee/qSD5W1RPA6FS/YuJDJY5Sz3FmAJk263myKvxu41Ps7YtYSfHDWJP59Yw5NfncnNR1RwwR5FHDmzgKnFLjQFBmI6n7REeHRVHze92sxt73bRMpCkKs+JW1NoHUjwk5caufy5Zt5vDKcExb+8WwlVAQftwSRXLW7lng/aiMbi1oLudap8bbcifndsFfMrPESTBvd83MMlTzXxcfPYbQvtECKeDrvtfCaSFAqFLEsruS9gKBNWMozt946QTiEm4XDYCor/N+WWfWVBEaoC72wJs7ItddOXaV6SDNV02HvJbm/EYjFWdgxapquMGBQHrF5jo8FOWsXSVDJ1PR6Pda+mw+VyUV1dTX5+PhMmTKCkpAS/32+RzxxyyGHHRiQSobu7G5/PZ/WHjkQi4wpsSc+4rYG976EdUmEsCXfhcJhIJGKJdPKdPp8Pp9NpHb99XhPhRXpip0OEGKmeCYVCKeeuqiozqwo4eZ5p1fznD7roGwgRcGlcd3All+xbjkOFN+sG+NZTjazvjFrVNumQYwiFQpa9u/RNtEPOTX7vcSh8fZ9K/nRCDQdOyUM34IlVvZx5/wZeqwuhKfCNvYr5xl4lVlAcwKEqHDkjjztOrOHCPYoo8mq0DiT49dudfPOpJt7cHMQ9GAS2j0ckEmFOmZvdqjzoBvxzea91PTJBxl2qV0Qw9PuHV/GKCAOgqQqhwcPdY4KPaw8qY+FEHy5NoaE3zj0fdnHB401849FNPLU2SE/ETIg4ckY+Nx1eSbFXY1N3jG88WsfqblNEvn9pC6fdu3bEoHi5T6Uqz2EJxYqipLQnkQqWU+cEmJDvoCeic+f7nXi9Xqv6Su4lCTSnI9PvRHTNxEnk/s22jo8VUhlut0YVSFVPpnXfbnufSCSsvUY8HreCvZKYILBbrYsFpqqq1v3wWWJjd5ykAYUelTLfZ1dJkuk8pBImHdJqYnsjkUhYzh0bO8ygRrpjUjpkXzAa0vew4gIg9rCZ7lVFUSgsLKSiooLCwkKqq6spKiqiqKgIj8ezzT0wc8ghh/9+dHV1WVxI5iPhPmPFtswlYtOcDtEeAWYWaVZv8buXdlhBOUk+d7lc7DaxkDPmm0GZP77XRXN/3CoQysTz9p/o55fHTiTPpbK2M8Ylj25ifWuvFRAXF5f0tV54CJhzviSZCe/KtObIXB2JRFKsvTONW3rAX5zowNwDvF3Xx3UvNrOmLZTynrBNp0tHJi6RieNMLM3nZ4eWUxkwXSqvebGVzlDC0mjy3RolPg23ppCJZaqKOa4/O7Kab+1fSYHHHIvyPCePnF6Na7BAJWnAWQ81c8HuRVQGNOt3f3ivi9+/1YrLYyYRyP0olff26+h2u5la5OQnR9TiUOHVjf389vXGlBaFEvB1OBxWQY/8XpJE7TpTdaGLx8+axK7VQ/fj6o44h9+5mtbQ0HEIshUspOt1ohN60ni8QLQhu3YM8HZDiG8+1cTSpgguTeHCPYv48SHlFPsya1Fy70lAWyBjkElPExcFuRfs97IUdEiMwP55kpTncrkslyLRv7eWV/7z015e2RREVeD7B5r69K/fNuMJJ87O+9yC4kCKM64dmZ6xkdyJthXhcJhAIJDS5nEkRKPRMdmZp889kUjEctjQdR2fz5dxLlNVlYqKCoqLiykvL6eiooK8vDxKS0v/q3TqfzdyFeM57FAYGBigrq4OGJ/FUDrcbjdn3r+B9lASl6bwt1NqyBuhOjkd6T0RYYigZavMyVS1I3aa6XYxYgEteGHDAL9926wa/8vJNeR53Snn7vP5WNbQw/eeayZpwHcPqOTgSSbxEcIiAqv0MJdsKRlH+4IvC/qDK4Pc82EHqgJXH1DGfhMzL57S/0esrKUqt61ngH980ssza/vRDTNQdvLcfE6fX8RHzWF+/nobcR3mlbu5blE5AZfK2o4o33vezE695uBqDptRkGIJKhX5mTI4eyJJXtowwLPr+mkZGPrbzBIXc8vdbOpJsMwWyK0MOIjEdXqiOuV+Bz85pJz2UILrXmpDAW49qpI8t8oFjzelfNavjq4C4On1Yf74jpnV5dIUfnl0FVMKTUJ3+/tdPLmmnwXVPn5xTC2b2vu55OlmogmDi/cs5rRdyy1CL2K8CMLS+1lERyGb9v7z4hpgGAbhWJwt/UnWtZs27Os7I2zojKT0mswGl6bwty9MQdPj/N97XbxaZwpPO1e4uXz/UiaVFVg2P7quk0gkeLUuyF+WdtMTMe+XAyb5OH/3IkqykErI/rymW1/Ze0BmE10hNctYsvgkcxiwiKW9h4/9O+3Zwf9Ny+jv3+nk+fUDzClzc8sRFRbRFoHbfp6Z+qun9wfdXpBrFw6H+eFLLSxtilDm07jrlAmjvne8GaHZXi9Vby6Xi6KiIgoLC3fYyp2xYEfnVDv6+edgwl4tvrW8Mr3qeWuQ3gNQKlVGqogQi0qB8IJMQk2mjHx71rx9rU23v06qTs791ya6wkm+uqCQ03cutgKCnzb28YslnTT3x3GqCl/bvZAv7lphBRul/YWIA1IhP1pylhybWF/KsTy5upc/f9BtVZ+U+zW+tU8J+04tHrFyRHG6eWxFNw8s66Ival6rqUVOzt6lkAOnF1v8XbCmI8p3nzOrxv90QjUTCsyKJjkeCfLb+2PK/VPXHWN2Vb51DbNdA7GpP2+3Ik6ea85BCcXBaxt6eLM+wtLGIJLDqSqmVfyiyX72rfVhOFz88PkG1nYOVQbZK3IKPCrHzcxjSUOYum7bMTjgF0dVMbsy3xLa7JU6wkVVVeWT5iDffrIegFuPncjsIsXq0SnXN5sb1ki8SiqxhFcKHxmP88JIFXH258Le59HlclkJrJkg10fOS/pHSsW43WVopL6un2VvdYDHV/fx5w+62avGyw8PLh/9DVuBbHOJvZWN/XefxflKZZrsEX72WhtvN4S5YI8iTpg98po93mrLTK8XBw2Xy2zdUFlZmTFYnoOJHKfKjUEOZnBk7dq1JBIJaw7ZGp1hW53d7HtlcdcELNvyaDTKn97r4qm1/agKPHS66fCWvsfWHE6ufK6RT1vCzCxxccuRlTgHWy+mQxI667ujXP9qOy39cfLdKj86uJxdawtTkvCk9Z38LHql8Ea7e5Cs3zIfC2+VgJW4D41mVSxrlVTvC5e5/Nlmi0sdMMnHWTsXMqHAOSabZ/u5C++Q5AJ728+2YILvL26hNZikJs/BxXsV8cz6MB9sGSBm2z4owMRCJ9NL3KxpC7Olf+iPU4tdHDktwKIp/pSe76fdu5buyJCuc/7uRdy3rJuQjU7tUunh+sNr8Wp6Cs+Sc5ACC+H2i1d38YslZovLry4o4rR5+Smtj8QxRyzq7ckY9vMW3TYej7OuK8G3ntic0tpnrxoPNx0zeVj/7Uxjne150DTNcvgRVy17G8VQKEQ4rvPnpd0sXm86XU0tcvK9/UuZWOga9Tvk8+0uS/Lv0Z5Te9GO6OT2oLo4gskx290R7XufrXEier0uyC1vmtfwkr2LOWxagKsXt7K6I8qMEhe3HFE5ZufP7YH0PuyCTGP4WTkvpc8748F43eEyaQP2Ocjj8VBdXZ3TKkdAzko9C3JkM4e+vj7q6+u3+XN8Ph+/ea2BJ9aYE/PZuxTwpfmFY36/EB47wbNbumSaCMcT/JEKIXm8k7rBRU800TyQ4IK9yzllTp4VOJRsJ4fDwX0ftXP3Rz34nCp/PbnGygQVCHmUY5NgK2AFaGEo48nj8fDrN1t4enUvThVuOLSCnSo8ljBmJ6xiIynip534rmnp50/vdbCsxVzgir0a5+9ZRqFL52evtROMG0wudPKTwYy9f37aw9+X9eJzKtx2bDUVec5xbSp0w+DRNSHu+qAj5feqArqBlZFpAN/et4SHVvSypS9BoUfj+oPLeGxVP6/WBZlW7GbPWj//XNZlfcYX5uXzlQVFOJ1OnljZxR/e7aLIo9EdSVKV5+DXR1cRcKm0DSQ4//FGdAN+dVQlf/2wm+VtUeZXuPnZYRWog2NnJwlyj9itvyWrUIKcQlqlJ5BUV0vSg1UxpqjUdQRZ3xVlY1eMut4Eazsi9EczB0Sr8pxML/UABu9sHiCumz0vrzyoil3Lhwe8B2I6D6wY4PGV3eiG2ef9rJ0LOX5WXkaL0pFssIQgSDIAYFWM2W2t7BCiKWMldlCSPCAbK8m+lHvbPmb2+3xryddYLRu3FzpDCS54vIlo0uDag8o4dFapacuaTGa00E0/r+1JNCXAkR7kOO+xRloHEuxS6eZnh2W3u0z/LF3Xrc3WSEGmbJsmez/WWbNmfeZVW//t2NE51Y5+/jmY2LJlCz09Pdv8Odtq+Sa2fPY+57KuSVW3fV4cbxA/W7sNEbKCwaAV5JWAtAhMqqrywvo+fv1WJx6Hwu0nVFuJcIFAgJauPn77dgdvN5gC4oFT8vjO/mU4SabwQUkCzJSlL/aeUlkh4yAiqM/n48lP27jt3S7iukGxVyOa0AnGTW64/yQ/5y4opHKUPnmhmM7T68M8+Gkn4cH3zip1cc4uhexalVoRIIHrw6b6+fZ+pQQCAYLBoMU9YIgvSwBvU1eUS55uxutU2KfWz5nz86nKM3mNnTvHkwYn/m0NkYTB74+tYkqRK4X7RSIROoNx3muO88LaHlZ3DN1bTk1hpzI3XZGk1bZIMCHfwUX7VLD/lAJL/Ln9/U6eWJ3qfHTJvuUcMzMPTdMyBn5lj/H7t9t5clUPVXkO7jx1CkZiMBA/mAyX3l/b/jc7hLfCyELiWJ+jkQLjwnMk+VgqNKT6JpvQbQ+Ix2IxK8CeHgyXn9N5ZbrAvzUYy3t/8WY7r9WFxr13Hev3S0A807Fk6s9o369uK+QZsdvoCi56opEtfQl+emj5sGc1HXauOxbem+2elHugqKiImpqacZ7NjoUcp8qNQQ4mJ1i9evU2awNSJLEtc6vf77ccegTCYxRFoScU48yHGgH48i4FfHXv6ozzYFswwaVPNxOM6ZYOBtnbbSiKQlcowdXPbGZ9Vwy3pnDFwlIOml40Kg9It8iWgiHRw2RNl/VWXATT13Xhm/Ye1sItZc2S4++KO7j7gzZe2dCPgcmRDp3q59y9qsjXxsazx5IgtqErxlWLm4lkiK0VezWOnmW2CVKSccuBZGl9D/d+3MOKtqgVUHZrCgdM9nH0jDzmV5s87pLH6ljVPrTOLZzo4e2GCEkDHCokdKgKOPjhweVMLw9Y10HaKNmDhXIuj63q486lZuLwVYuqOGSK33ItFZ7k8XiswLdoeHLPipOSfJ4Eey94pI5NtoRNhwJ3nlxNVYHPcgVMRyZHIXt7nmzcSdM0VrSE+OWSDpoHEijAKXPzOXuXwmFB4dGSPYW/S9KGtHwc6drb93Hi8mVPRrXfm+IEZg+Upvc3HytWt0f5/gstxHWzKO283Yq468NuHl7Zh9+p8Ntjq6gMfD7tBCUpJxaLDTsPe/KqYHsnW4rrkMwfWwv7/mi0ljswsnV8JBJh4sSJ5OXlbfXx7AjIBcazIEc2c9heZBNgWVucaxeblcD5bjOQ7BnF9teO9IVNiILYMwvxEoJor+oZC6RyQzLynl7Zya+WtJPvVvnHl6bhc2lWIFqORXM4+M1bHRw3p5gpeUP9/+xZl+k9/rIttPJ73YCfv9nJks0D+F0qvzpmArX52rBrIFn0QpLsxyXk9O36IP/3divN/ebiN6fcw4lzCrn9vXa6w0kqA05+englZV6FqwYz2nYqd3PzkdVgjO+ae71eLhvs5z2p0EljXzzFPnxKsYsKn8bl+5UQ1+FHr7SzvjOKz6ly+X4l/PbtTvpjOh6HQiRhoGAG0kWQcbvdPLOyk1+/3clu1T4ae6O0BpPsNynADUdMwDAMbn61hRfX9zK1yMnG7jgeh8IfjqumwibcWtfOJk7KeMqCm40giNhnX3RF5JYAukAqhRs6+rn9g07ebhh7cHR6sYuT5uQzs9RFZcBhBfVdLherWgb4v/c6WdNhHvfkQicX71XMvPLUqopsIqbf77fu8fSqbrHZTrfAsr8GsOws5dzl/h6tX5Fga7OyxZLM3kfo88A9H3fz4PI+agtc3HZspZWIkC4EpleryTGPllGdDdIjTbJ6s9GPU+6vJ5Y0OHVuPufuVjSmz7b3d5SAezZxPNP1crtNF428vDwqKiqGWWflMBw7Oqfa0c8/BxPbK+FyW1yMBPY5XHouSnsVe+Kh3WZvPLCvkfaKZ2nhI7bu9ipyEb10w+Cbj25kTUeMQ6flce2hE1L6aRuGwRNr+rnrw24SuunIc/UBpUwvcVvjA6T0MxeeIsdih6w3AP0DQe79pJ+HlpsC3T4TvFx9cDUoGn9b2m4l6DlVOHWnIs7YpRi/22FVaWRaL9r7Qjyyso8nV/cTHSy13rnCzTm7FjKnzOQW2arGZSxlLZRjNQyD295s5NFV/SnfV+zVOHSqn5Pm5Fk2mMvbIly9uJUCt8q9p03APcj3ZV21C85ut5uWgQSvbuzniRXdtIey842ZJS5+csQEAlrScsfpDMY55+Etw167V42bb+9XRr7NMUuC8nKewZjON55qpjOU4Ixdijl395JhCYbp/CdTINLOY0cSvcbKx0Z63iTJIv0ZSQ90p8OeHCyvEUt8GY9MDguZsLWJMrKHHEkU/PpjjTQPJPjJIeXsVj26veNY4fV6LSEbhle7ZBq3bZ33xHrVnmieCfGkwan/rEc34G+n1IzoUCWwB0wyubYJJNk9fczlWSgvL6eoqCijXWsOQ8hxqtwY5GCioaGB3t6xt2rMhm2tGre7xNkdKWWNBDj3gfVs7o1T5ndw18nZk3/e3Bzk5jc6UICfHVbBzpUmTwoEAiltAWXNdblcxA2V619o4P0tIVQFLtyjmONm51sW3LFYjFgslpI0KAmZ9nUl23pq5xKiI9j1r3QeItqqOARJQYVU9TcF4a6lnbxdbxZOOVWF4+YUcsYuRfg1PYVDZ1ovMl0rXdd5Zt0AT60Z3kNcAfap9fK13YqoynOmfIaMyUAwxIVPNNEykMClKeS7VTpCQ+vy5EInR83IY9EUP3ct7eT5DUPHMKnQaSVPFrhVeqM6XqfCtYuq2HtiwBoTSfiE4W4xf/2wm0dW9qEq8MNF5Rw4oyTFNXU0rRKGa09Op5N3G0L88MWmlNcdN7uAby+szLi3Ge1ZyPT9Sd3ggeW9/PPTXnQDynwa39mv1Lp3x/odEsiU4o30ZF/5W6Z71M7pxOlTuISdo452fuNxJmsbSHD5c830RHT2nuDl+sNq+Kg5wjXPm/uAaw7M7gK7PSF7I/t5ZYuf2LGt85644I5WaDNe2HXneDw+apJv+vdLYghAZWUlgUAgVy0+CnI9xnPIIQtUVSUQCGz1++2Tz4IJeTgGf+yL6ry4YXyBa6lSBVIqJmVRFIIXCoXGFYjy+XwpltDSQ2W/KWb/676ozqPLOy3ymNKbxTC4alE1U/OHepdL5l0oFLLES3vWnRBSgd3OGsysycv3LWKnCi/BmM41ixvpTQwXB6T3pQS0NE2ziIMs/AvKNf58ykTO37MMj0NlVVuEm19rYU6piwq/RstAnO8928Sm7hjXHFKN16myvC1qiaFjgWSaJhIJvjYYlNvcYwbF890qu1V5cKiwqSvGO1vCfOXRRv65YoBv7FPGzpVeQnGdW97s4JCp5n0mduQGpu343HKPJbC4Bm+gWFLn+weV41Thrc0D3PtBC/F4nBNnmeO8sdskpV/fq4yqfLMqyOPxpBBPsbqXayMCnYjHmXruyO/Sr6f0uBfiL71DFUWh1O9Alg6XpjCpcOhz81wqc8vcTCx0YS/6Xt8V49YlHVzweBOnP9jAVYtbuP39Lhav60NR4KbDK7hk72Kzp3xPnKsWt/KbtzqIKS6rb2Q2wUuSAqRSSUR4CTiLrVIm2HtSiUAbDAaH9fEare/j1op6sVjMChCL5ePngS/sVES+W6WhN8YLG4bsiGQM5VgyzTvZ+o6PBnEvkPksW1A8oevEBoMMu2TZeKRDBGyZn6S9RKZ+PpkseH0+nyXm9vb2snbtWurq6sadjJRDDjnseNiWjan9fdl6a48H0g8csCowZC2UdUZEmbEGxYVXSKBdKpuFw4qIKNUQstlPr4aNRaN8Y+8yFOClDf18UNdlcUsw+ciJs/P5+RGVVAactAwk+N7zLTy1pt/qJS5rrXASOQ8J+NthGAahUIi+cJwbXmu3eODpO+VzzUFlOIwEDj3KeQvyueOUyexe4yeuwz8/6ebch+p4dlUnkWiUWCxmiVfS29LhcJDv1vjqgiLuPKmG42fl4VDhk9YoVzzfyvUvt7G+M8qsUjd7VHvRDXhoVTAlQU8EOOHgMobn71HC746pZs8aL85BItUVTvKvFX2c9VAjFz/ZyDNr+/ig0Xz/LpUe1MEKFPu6KuPvdrsxDIMX13Tx0KddIwbFFWBtZ4yvP1zHyraIZYm5stN8z6RCJ1W2xMz3GqNc/GQjn7QM3Usi2glPCLg1Lt6rGIAHPulidesA0WjU4vwyJvYe3Jm4VvrYicPReGDvRZ6pTx8M9bq222gKJ7InTWaqPpKAuJ2bC6+UHqaAVU0+Uk/0rQ2i2gXUTOfYF03SPGBez5kl2y8BUERl+3WS+8fn82VMMAFS+tKOB9KfNB6PEw6HR00ubeyPoxvgdyoUe0f/LkkKkec0EolYgYZ0pLsISAApFAqh6zotLS2sWbOGpqamzzUJNocccvjvxLYkRdjXxW1NtpQ5XD5XNEq7PnDmrub63h5M0NiXXa9cOMnPEdMDGMCv3uokrrqshEow13VJFLRa2TlVbjp6EkfNyEM34I/vd3HXh13ogwUF4gxo1yojkcgw7SdTj19xBhSIPhEMBoe1+xDE43ErCCyVv3YdtdoP1x5Ywi+PqmTXKh9x3eDRFd2c8+Am/vZRF539YUtPk2OQNTJ9bfi0Jcz3X2jh5Psb+NP73VZQXFVgerGTfLeKATT2JfA5h9raOJ1Oq6hK13W8Hjc3Hl7BnHIPsaRBRyjJoql5HDotD5emUNcT50/vd/GVh7eQNBROt7nIbO6J43OaxzoQ05lW7CYcN7juhSbu/6jdGms7XxJ7dJfL1PC+tnsxh04zr99Nr7ezvHkgpUpc7i3DMLL2YZb+2TJuuq6zW6WTp86elFIs9NTqXo6/ey2hwftI9igwvA91On+U+1B+39wf58rFLdz3iRkUP2iyj98fVz0sKO71ei1eOVIQVbQq4aHCJeQ9kmCcDnH4lES7aDSacq/LfS6JyuluSwK5JqMhFNP58att9ER0yy6+J6pz86tmEsLxs/M/l6A4kBJPsI5vkH8Lj8/EK7Nx9NHg8XisJMdtrQ5Ph8wX8szIcY7Ue9z+/XL/iy6/efNm1q1bR2dn539VS8//ZOQC4znscNiaake3221t3CXA41QMdqoYWhwfWdlLQh/fxCQiptioeL1eKyAuAoNs/EeDiCChUMgSCYS8RRI6Vzy9GZ/LFAMeXtFLZ+8AkUhkmDhqt0CUTCb7Qi0Lhr3aWP4tC256xpvboXL9YVVMLHDSGUpy5dObrR6NdtgtitJ7p1tIJjhplo+7TpvEoVPNSoy3GsL0RnVKfBo9kSTXvNhGQ1eQr+9uBrb/vqyHjd1ju+72IJnicCImAG5N4Q8n1HLjkTXc96WpnLugkOo8B+G4wZOrerj86S2EYkkmFzqJJQ2eWtNnkUnBnDI3Lk2xqgvyvCZ5iSZ05lXlccl+pm30PR/3sLozwaRCp2VnX+xVOXFecUqvKRkf1eGyMmTtCReA9TsRde2EyZ5Z63a7U/6maVpW6/K1g5acs0vd/OmkSXxrn2KKPBr9MZ2V7VECbo0bDq3g1iMrOWZGAKdtpQnHDVa0RXlyTT+3vtHKt55u5osPNPDsugF2r/Ywu9S8h17cGOTLD2zgoY9b6R9IFZTtxyL28JIxKOTZfg+KNXo6otFoSrWK/T3pAQYhXpk+Z1sCGtIXSCpRxFr8s0RJvo/T5xcAcN8nvUQGrRASiYQVXM4GCURkI97p8Hq9liA6FqeOFW1D12Cn8uzfIVmk0hdcsrYFIg6nX69EIpFCQl0uV0ZSPTAwQF1dHf39/cP+lkMOOeQgGMn9IhvEgtzhcOD3+605aVsD43YRUxIM7T37ZI0ba0BRxLpQKJSSJCfzqlRry4Y9GAySSCQsUQGG+iZqmsbMUjdHzTLXnjs+6CGpD4lpMofPKnXz22Or2LfWR0KHP73fxY9f2EJ/Bu9I+5yfSfBp7Itz6RP1fNAYxq0p/OCQas7ZtchyrRFUeg2uX1TCDUdMoDLgoCuc5JdLOrhqcRur2sJWq5l4PE4oFLKqhgGKvBoX7lnMHSfWcOT0AKoCHzSF+fazLdz4ejuHTjOTJF9c10t7REk5ZuH7khAqItfc6jxuOW4KD59Ry3f3K2FK0dB90dCb4P/e6+ahFX0A+F0qOmpKUFbsFRM4+OUbrRz3t/X87eMeeiPJoWPeq4THzpjArUdXc+ysfPLdmmWz2R/TuXJxK5u6zOv4QYO5Du5R4+PPJ9VY3BugN2JwzYut3PuxeT3leZAkWZfLxb61Pvaf6EM34Hdvd1rXHcz9lVgUSjucTNwznT/I2KVzkZF4huyRZJ+UCcInxVZT9kTpAlw2QSvdacee/GKfJ0TYdLlcGflU+hgEYzqftkZ4fFWfdR0zQcT1SCSSYmsqWDfYB7Umz0HAvX0qmO2JzOmQOWOk4Pd4nStkXhqPVWZDrzmetQWurIlMkgQkvUDTr6/sT9OTQ8WpSCDVYXbouk5XVxebNm3KBcdzyCGHEbE1WqXMX7qu4/f7rbV0W50qJNFKAmuy7kry4f61HlyDltJ/+6hnxM+6eK9SagtcdIQS/PyVLcRiMWs9Fj1EOIzojZFwiG/uVcRXdy8F4KEVfdz4ciPBcNSqXJfgYfq5ZtJT0iua7bC35ItGo1m1DsMWmM/EOWaVuvnpoWX89NByZpW6iSYMHlzex7kP1/PYmhDdfUH8fr/FrUUj6Ykp/GpJO198oJ7vv9jGp61RBmsFqAo4OH+3Ih45o5bbT53GrUdVUuzVqO+Nc+2LrRYvcDgcqKpq8apYLMaU8gJ+dexETplXCMCrG/vZ0hvlt8fV8M19y5lc6CKaNHhxY5AHPu2hKjA0jqG4gapA0oCOYJyDp+ZhYFaC//adLvpDQ06DUqwijo2GYeB2ubh07yJ2r/ERTRr8YHET61v7U1ydpABKgtlyn8FQcqdo4tJzXPD306dy4R6F1s/hhMEXH2ji7x93WQkOmaqx0+8VSZ5QFIXF6we49Olm1nTE8DsVrj2kmisWlg1rMSpuNcIrs7n8SOGXPYFDxke4niQwpx9XJlcs+30p97gkJ0pLzUz7vNH0xaRu8PM329ncE6fYq/HDReW4NIUbX2mmL6ozrdjF1xYUWt/3WWKkFjYy3iMlpY8nOO5wOCxr8611xcwGt9s9rOWYHdK2M/16pf+cTCaHccdYLEZzczPNzc254Ph2QC4wnsMOhfb29jFtwCUALoE3EaxgKHBsGIZlQedQoS2Y5I3N46swtG+w5fPTLazHuoG2ekOnQVEUNnTFaOpLsLErikOF3kiSp9f2p7xGiCiYBCUejxOPx63AfCAQwOFwEIvFLLFLiFckErGy/7JlVxX73fz4kHJKfRoNvXF++lqnZT9pHw/BaIG38jw3Vx5Uxa+PqWZWqYtIwqAzlMSlKYTiOj98qQ2vA/at9ZLQ4ZdvdRJNDCev9j7pdnHnzbp+rnp2i2WfHk0abOwM43Q68Ws6X5hfxN9On8bPDitn0VSzWmh9V4y6njjaIIEMxVPPb9fKIQuVWCwGSZMMxXWTkB0yycWh0wLoBtzwUiOPrA4yEDMPoC+q0xvRrcSMRCKBrut82BLj2LvXcfJ9dXxY3wNgZaPZCZCQL8k6tFfmi+AtVUtyL6Uv3qFQiKauATrD5nXas9pDMhHniOl53HFiNWfML8CtKaxsDXPti608tqqP0+YX8Y8zprOgeoiczCp1ccyMADuVu/E7VRK62Tfp1boQqzuGCMlATOf/3uvivEcbeWpN37BkCnulmq7rKRVq6chEkCQpwP6zvYpHxH55NkUkzXRvbk1AQ+y37JD+QNs7OO5yuazkm1AoxDEz8qgYDAA8nmbbKpnQI2G0wIok1ow343JZ86CFmgautNYUkpUrjhjhcNi6NpLIkL6hEOHZHjSxj/lI42wYBvX19bngeA455JARhmHQ0NAwptdK9YRUXkt1jMxl22vOFxFT13XrM+3uKGLbNxaMhX9aCZi2z3S5XHg8npSKHOGH5+1Zht+lsr4rymsNgxxosGpU1tayAj/XHFjKN/erwKHCm/Uhvv1MM+s7U0Un+/Glj6FhGNz6ZgcNvTFKfRo/P6KCQ6YXZD0PRVHYf3Iefzqhhq8sKMTjUFjZFuY7zzRx6xuttPYNTyK1ryvlfgeX7lPC7SfUcOi0PBTgrfoQt7zRTqnPgW7APUvbh1XFRCIRiz8IHxVxxu/zcfTcUv544kQeOH0iX5pfQJEndV18dt0Ap95Xx09ebOTN9Z0EQ2Hqe+J8+4k6Tv77Bp5b22u5sEwtdnPL0RN48MxpHD8zgNPhYI9JRVx+YDUPnDmVHx1czgGTfKiKKcJOLTETFj4eXJf3rDV72X1nv1KuOqAUe3vFB5b3cuXzLbQOJKzEXOGYbrebC/cowu9UWN8VS+lXLs+BQPYe6bBfWxGRXC7XMCEyU0BThPyxBFJFSJYAt1QOZ+I8ImjZIdzcfj4+n88S+UUMltfEYjFLyATzvu0IJViyqZd/rejnxtfaOe+xRk5/sIHvv9DKn5d2s6Yjs/gKmSvNJfkasBJbZ5aOLblxJAgfG80OXQTHkeY4ezujbJA5ZWssMusH7WAnFqRydeGV4qZhd4yyj5tABHz779O5/EjzZjQazQXHc8ghh6wIhUK0t7eP6bUyf0k/cZkbpU1L+v53ayF7bJn77C0WAfYZtNV+vzE8YnKaz+3ge/uX4FDhnYYwz60bGPYaSaaUwKH87it7lHPlQVVoKry8oZ/rXjR7loteJZXm9paA9oIQSb7MlLgkSF/LVFXNuPbbz32kQNruEwLcduIkfrConIkFTgZiOne+3875jzXyyPIu4kmDWELn/k96OOfBOs5+sI6XN4Us/TDPpXLMjAD3f3Eid39hMifNzccxmLRXnefkpsMrKPZq1PXEue6lNvqiSSvJULQXccHRFIPzdy/ihiNrCbhU1nTEuPK5JkrcBr8/tpLfHFfLkTMLcWkKzQOpuo3kMvZGddZ1hDl3t0JUBV7cMMAPXmonbDitcRBnUdHootEoTk3luoMrmVXqpi+a5Icvt9LWH2VgYCBlLY3H41aAXHiTvUjMHnwWzpRIJDh+dgGPnl5Nnmvoutz/aR9n/aueeDyeMWAteqfA6/XSF01ywyut/O6dTiIJg53K3fz+uGr2q3EN41ZybKOt5eJ4ZXchkGTgdK0tkUgMe7ZgeMKnJFfbj98eGJV5IP3ZH+1Y71zazdKmCG5N4YeLyij1O/jHJz182hLG61S46oBSq696Jn60PSC8cjTtUJKARtIjR+OKwsdFC98eEBcJu9Zub0ObadzsrgD2YxPI/J4NXV1dueD4dkCux3gOOxQ2b948apBDiFimCTm9P0dTEC54dLMVCJ1U6OS2Y6vGbaspWVF2Sx57j+2xIFM2nGRABYNBNvcb/OjFJjqC5sTqcyrc/6VpODCzI4XQyAKRntUki7WQbfuYeL1eBgYGrPdnEp/kHDf3xLhycSvBmM4+tX6+f0CJ1ePY/l7JpBxpipLrYQCvbBzg7o966AqnXrdzFxTy2Kp+uiNJTppTwGUH1lhExm7hI0KyYRg8vaaP3y1pQTdg7wleagq9PLK8y7y+x9Xg95njItfG7XbTFzN4cnk7z68bsGwK03HL0RPYc2K+ZUe6vCXEt57YTFWeg7+eMtE8F83FpU/UU9cdtfqSVwQctA4kOH2nfM7ZtSjlvvjmU81s7jGv3VEzAlyyd4n1fWJRlUwmUwRX+9/t1zK9PykMr/5/dGUff/nQtCS9+YgKdkrrBd4TNfj7sl6eX9uLgZk0csKcQk6Z7WfxhiB/X9aDbpj9Q69YWMrMEhc9CQcrm/vZ0BVlU3eC9Z1RurNUxJR4NaaXuJha5GJGqYfJhQ4mleYRi8WshAEY6g+TnmFnHzvpjZqtB6JUiclmMFPvTsjcA2ckSIZzIpEYcUPl8/mIxWLbRUDLNJe8uinIrUs68DoV7jyxhgKPZr1OssOziZ0jzU3b0tvnupda+ag5Qrlf468nT0j521j6I9nveYHc1+m9TyW7fLTxVRSFiRMnkpeXt1Xn9L+KHZ1T7ejnn4MpVqxcuXLU1421J7JUqW4r7H0hxS1GKsZHysIf6dgEIrLJZ4sAJ2KjBHllbZOe5iJ2ejweHl3Rwx/ebiXfrfLXUyfhcwxPWBI3jw09SX72SgttwQQOFb6+ezHHzAxY6659XEUclWOu74nx1497uWzvYoq8mtUjerSxczqdNHYNcM/HPby00Xy916Fw+vwCTpydbwlDcl4yvlJRCtAcgns/6uL1Tal7jhsPK2fnSq8ljEWjQ1VPdvHEnjRr529ut5uHlrVz+weZWwQJbxSoCuxW5eHbB1RR6Bwa4/Sxk4Rfl8tFfyhKX1SnzK/R2BfnwieacKjwzy/WUpTnt94XMpxc/OgmOm39Kr0OuHSfUg6cbFaVyz2kqiovbAzx6zdbTQem46uoDIwtoVAqhqSHusX9R9gf2O/dsXIS+7MhHEi+UxIlhV/IdRbhXHhEpu+S59rlclkJx8lkklA4QnN/gg3dMRr6Dda0BdnYFaM3mnkOKPNrTCtycdKc/BTHMnFtUFV1xPtb0zSuf7mVdxuCXLhHEcfP3rZ1ayy90uV1kgQ0UhB9pLlpa3uuC256vZ0l9SHO262Ik+cOnfdY7o1M87e8z+12p7QHGuv86na7mTJlymfuEPXfhBynyo1BDtDd3U1jY+OorxuJV9rny23tt5vp+0QflPl/S0+Erz9uWi1/d78SDp6avW2lpmk89Gk3f/mwG7em8OujK5lTU2QFw0W3lDY8st5LRfKHTWFufqODUFxncqGLGw6voqpgqDhH3H3S1xlxGonFYlnHRFwI0wt17FqSvV2f5c4zio6gaRqaw8nzqzv4x7JeWgZ1QocCiTQa41RhQY2fc/coY1qRc5hVOaQWe6xp7uX7L7TQE9GZXuLmhkPKyHNrVtWw6LNSsRyPx2nsjfCLJV2saTfXqtN3LuaMnQK4HBrhpMJrm0M8uaKbTd2Z19zdanycMiefm19vYyCmU+rT+NEhlcwo9VhjYV8LhXtHcXLJ43U09yeYUuTk5sMr8bvUjK8VSGKjfV0Vvup0Oi3uLLj3oy4eWJHKuy/Zq4ijZqbOp1K8IXulZW0xbn29je5IEocKZ+9SyMlz8i2NWirx5Z4fK/+Re81+P8u9GQgErD2UcE1IfdbEwcjOf+zjJVqhPPP2ezFdNxtpD/TUmn7+9H4XYPYQP2haAR+3RLn62QYM4MqFQ7zejvQiom3BeDil/TkWTXU8kH3bZxEKHQsPTJ+/Ze6Rc8mmTY+E4uJiqqrGH4f6X0aux3gOOWRAekXLSK/Lln2Unt01rdRLoUclaZhW25t74lbfv/EgHo/j9/tJJpNWj2PJMhor0l8rgV4RG6cVOfntsTVWT7lQ3OBnLzda1RBixS6VRfL9Ylcigp9kZAKWJbiQLsieQSbHManQxY8WleHSFN5pCHL70l5rzCX4LqRYjicbxDZUAQ6ZGuDeL03njF2KsRea3vVRD3MHLZkfW9XLm+s7h1Wo2PsT//W9Vn7zphkUP3J6gGsOLOOcBSUEXCqbe+K8Vh/JaJfjIc5p8wq4/cRqfnZYBYWe4ffQ799qZX1HZKivZsJc/KMJwxKTXarBDw+tQlVMcbPMp3Hh3mUAPL12gFB8SDDrimtWUBzgzc0h4rYqfLk+gkgkYlX5y3W2/90+1lJFno6XNg5d61Jfavakz+ejyKPyrX2KuX2wZ2dCh0dW9HDRk824NIWfHVZBuV+jZSDBlc+38PDKPgocCQ6eXsh5e5bz0yOqufe0Cdx76gSuP7icL8zLp8z2PZ3hJO9uCXP/p7385JVWvvZoIyffs5arn2/ijnfbeXVTkPaoxkAwlEIQZSykWksIyUiBViFe9o1gulWXkPJskD6IUpECWNZhoxGX9DYG8t1iMTYeZBIiD5zsY1qxi3Dc4J+f9lrES+zMJNPabgM0FmyLDVFjn3mcNfnDBfNMFpbpEFcE+zURe1p5xuX6eb3eMRFpqRy3z3M55JBDDmO18h1p420PCOu6PuY2FSNBuJGsYVK9my4ujYb045bkIqfTadk0yvFK1Y49SGSvaAgGg1a1+uFT3EwscNIX1bnnw86U9Uzch0QEmFao8YcTJrDvRJNP/PH9Lm55s4NQTM+4htrt5KeUeLnlmEkUeU2R0G6BPtLYqapKic/B9w6o4LfHTWB2mYdwwuDuj3r4xpNNvNsQsqpFpPVOJBJJ4RNVPrh2UQW/Pbaa3auH1q1rX2zjjg+66bYlcWYK9EpCHgytayJ0tgxW8xw1I5/vH1RBsddWNWI7F7cGJ80t4Ly9yin3O6xr4XQ6SSaTKbzEft8FvC4mleXh8/lYNtg/fE6ZG49DTalqKPE5uOukahZOHhLBwwm45c0Ofvt2B5HEUOsfXdc5ZJKb+RVuokmDP7zbNaogJYm3wkWlrVUmR6N0iHA8HoHIvveT/pfCGeQa25MpJYFDHBKy9Tt0u93EkgYrmvtZvCHIb95s5tLHN3P6gw1c9GQTv3izg38u6+Sj5gi9UR1VgUkFTg6dlsfXdiviZ4eVc/8XJnDXyRP4waJydp9YkFKtLQ4Uoz3biUSCVW3mnCUV46qqWr2zx+t8NJagrsxBwt3kmkof1LFgW4PiMGSlPrEw9RzHMh9m2tcKV45Go1ZyhD05dzTkKsdzyCGHTBgrRxtpbbOvZdvLGjgcDlvukeFw2NJQNE2jKs9paTX/WtE74ue4XC5OnJPHblUeokmDW5d00jsQtP4mCZT2hDRZWxVFYe9J+fz6+ImU+BzU9cT4ztONrGrus7Q5CVrbuZ5wVxmLkVqhpGvAokXax1uOS+b80Xh7MplETyY4eEqA8/Yqs9x27EHxMr/G1YuqeOSMifzwoFJmlKQmXclxy8+iz04vD3DT4ZUUejTWd0a57uU2gnEjpRAAhtxskskklQEnNx9Wzqk7mf3hH/iki++/0Epbf4xCn4uT5xXzu2PMloiHTfWTfqd92Bji2XVBfnd8LRPyHXSEknzv2SberA9ZPFU0XafTaXHvPJfCjUdUU+hR2dQd56evtZFEtVoJAikJHZKEkH5NZAzi8fiwfdg5C4q579RqPDZLo9ve6+a8R7dY1040IafTieJw8ecPe7h2cTPdkSS1BU5+eVQVp80rsILiMn6S2Gg/htFgr6S3u3d5PB4GBgZS+rRLoi1gOVja22AJ7D8nEomU4Lq05xEtT2Dn0ulY2hTmjg/MoPj5e5aycHKAlt4wN77ciIFZeJUpKC7Hkj7HCK90uYZX2o82VqPpm/ZiPrk3RNsdzY48/XM+q/rgsbQrS+eV8qxK4q08D9naPmRCV1cXLS0tucrxrUSuYjyHHQZjzcCE4VXj9owre4aPz+fjhhfqeWVTkJklLtZ2xphX7ubnR1SO+/jsGfVbC1lA7eKMEDmpaHW4PFz+5CZWtpuLyhEz8vjGnkX4vUP9g2BIVBJiI/bf9uxNyTzMBFmAfT5fSqWHfN5bmwe44RUzAH32ghK+vKDYWgRkDMSiPZP4LHbKsoGwZ49tbO3lLx9283bD0PuKvSpdYZ1ir8YfT5iAP03/SeoGd3zYy9OrTUL/5d1KOWuXQisr8V+fdnHnB12U+DTu/sIUlORQtblY8MlYhAwnp/9jPQZYbgJ2zCxxcdSMAFOLXHz72RYCLpWHzpxijf0/P2zhDls10DUHlnL3Rz009Se4YM8STpgVQNM0rnuplQ+2BHFpCnkuhc6wzjUHlnHY7NIUyxaxbnU4HMN6t6dnFUsyRaaN1MbuGN96utn6+dEzJlqVU+nZbPKcfNqR5PZ326gb7PFene/k7AUlLNnYy5LB63P1AaUcMqOIWCyWtZrkk5YIf3ivk8Y+U0Qq9Gj4nQotA4lh4wtmosrkIifTi83q8mnFLiYVuvB5zDHO1hdKMvVEJBQxVOD3+62AuySV6LpuHbeI+oZhDKtGT0cgEEg5Brlm9j5DI1mRi3X4SBaWdmSquP64OcwPXmrDocJfTplMicewNjJigypzCgzZMI2UvSjPw3gs1AWn3L+ZWBK+OC+fLy8oGvb3kTLk7ZBqwvSs8fFUS2b6zNra2hx/GMSOzql29PPPAerq6sacMJM+90gVqXAM+V16tcq2YFsrhcQ1RY7P7iwUDodTKnnk3OxruN3qTlr0iFjzSWuU7z1dj6rAn06eTLXPGHF+1jSNR1f08JelXSQNqMl3ce3BFUwvMddhOSZZt8W6WniViJciRmRaR9JdRazXKQovb+hPcSXaY4Kfr+2az8RC14iBO/mMFzYM8Nu3O63fexwKx83K4+zdK3Ho0ZRrJdW/dqcaGRuv18t5D22krjvGThVuVrdHsXcJSq8YF1TnOThiZiH71rhSEs/sFRoSdJYxjEaj3PhaO281hPjaHmV8cad8iw8kEgmL3yuKwqPLWvnDe13Y2oczSwZOCAABAABJREFUId/BdYfVMq3YZYl3jX1xLnmqibgOl+9XwiFZKsvSHV1EXJPkXBHkZa8i1ffp13Os1STp1SNSMS7toka0hx0cB7mnBqJJNnbH2dgdY0NXjM29Ceq6oyljI3BrClNL3EwucDCt2MWcqnwqPUncDtWqaBJnAuHvo1XKC9I5ZXN/nC8/uAmHCv/60kSc6vDAyng40mgBa/tcIE4TMp4wnM+NVC20LXNZQjc49f56kgb89eQayv2pAf2xnrPMhzKXCcbKSzPB4/EwceLE7WJ3/N+OHKfKjcGOjkQiwZo1a8asBdrnLrvjkH1O2pZ9bzpk/c007z+0ope7B3uM33daDfmezIlTfr+fRCJBT0Tn/Ic30hvROX5WHt8edHSU/tT2ZEH7/C/6TOtAnKue2Ux9TxyfU+VHh1WzZ23eMKeYkdYOv99vJc/L+Ik+JAl44XA4hcvaHZOkh7twh3SeIEUZdi7XMpDk/MfMIK3PqZBIGgx2TWR6iZuzdy5g92qP5ZyZDvs+QbiQy+VidXMv177YRk8kyawyDz8+uIwCr9PaT6TzFOHvS+qD/PbtTkJxg3y3ypUHVLBrpSvlvkkoTi59vI6GvlQeVehROXWnIj7YMsCyFvOe+NL8As7fp4qIzQFUtF8w9eUNXTG+/0IrobjOQVPyuHzfIvICfithQdoKCh/w+02nItkzSSLCaPf1r99q56WNqWP4w4NK2avWDPI2hhR+9lIj9YOJcyfMKeCCvcpQjaSl8aVzR3EQGM21SMbcfg19Pp9VfDYaZxitEtvtdlu6YzweT+Gv9mutaVpKsZ29dRPAurYBvv30FsJxg8On+fnWPiXoBvzgpVY+bY0ytdjFH06agnuw6iydV8p9P9J4jPQMxpMGkYROOGEQievgcNMzECac0IkM/i6SMIgkDMIJnQQaE/NUjpgeyPiM2+e+kbi/tGPaXnNj+meP1f1N9l32YsZtRa5yfAjj4VS5wHgOOwQMw2DdunWjZk2KvZ0IPfbMJfm3PfMtFArxyqYBfrmkk0kFThr74yR0uOWICuaWj1zZmAnbkhU/0sbc7/dbFQUADqeLL963gb5Bu76dK718/8Ay8lyKFQyXc06HEKWRiLbdDkSC45FIhJWtYRZMLARMMvPs2j5ue9fMULt4z2JOnl9iZfGJ5Q9k7hEi1pJ2cVn+k4D5p20xbnmthc5wkilFLuJJnS19CQ6YHODK/YutBSOS0PnFmx28uyWMqsBFexZzzMw86xprmkbCUPj6I/W0DMT52h6lnLWgdJjAKoHO+z/u4M/vmf2hygMO2rJYq3scCpGEgUOFJ86egmEYtIUNLnq0nmjSYJcqL8uaw/hdKl+cX8RdSzsp9Wn8+cQakobBFx9oQDfgmFkFeDWDh1f2sW+tj2sPKrPGwt6bJ50c2LPspPJrJOvJP3/QxeODvSELPSp/P60WGLpv3W63RbQlqKsoCtFYnJc3hbj3425LVJ5d6qIvZtDcF+fqRVUcNNk3qnAZTxo8uXaA+5Z1E0kYqAocOzPA/pMCNPbGqO83WNMWYlN3bFj/ejCTFGoLnMws8zK9xMPEPIWpRS58rtTMPtkoSUVVOqnNttGyBzjGAhFzRWjTdR1N06z7abT5QFGUFEI8GrLNEWJfvmhKgO/tb1rxZ3q+xc0BSLF8Hc93jYRYQueUf5r9en92WDm7VA7P5h4P2bRfDxnLbREwBaWlpVRUVOzwhHNH51Q7+vnv6AiHw2zYsGHU14nNnaZpKYE8GEpAlASs7VEZmen7tzaglG2+FKcUWXtExJQqAUkWk6pKeW16QtqNr7fzVn2InSs8/PyoaoCsSQHSHuXTpn5ufr2dtmACpwpf36OYY2flpyRRposkYn9od8nJxG/tVbNSpS181jAMgtEk9y3r5OHl3SR006b8uFl5nL1rMb4sxbP24OBPX23jnS1h8twq/YP82+9UOWVeIV/ctRQnQ8KSjKe9H3U0GiVsODn13rUAFHk1q/J8Rombb+5bzk5Vfj5qDPHYp+280xgmmWG5nFHi5uBpeRw2s5h8R2q7GbmWHo+HgWCIMx/aQjCm88ujKplb4bOuTyAQGJYU0tgX48rFbfTaWuFowNd2L+LU+cU4nU7C4TAPLu/lno97yHer/PH4ago8wytK5LkRhyPZmzkcDitQLQkEdhHMHmAcTysqeTYFEpi3V/ikwzAMOkNJNvUk2NAVpa43wbr2MK3BzPdwvltlapGLmWVeJuZrTCt2UZ3nwO8b4uB23rU1AQ153uyCpYj8r9cFueXNDmaUuPj10VUZ3y/3m4j/Wwt7OwT7Z0Oq04Ykk2ZKbNheaOiNc/GTTXgdCg+eXjuMu41njpS5QFpwiZC/LbxS0zRqamp2eB6R41S5MdjR0dLSQkdHx4ivkQQd4V4SPBPuIklrwWDwM7ELFp6XzqESus4p9w/qUjMCfMPW2k8gwVHhEe83hvnxK20A3HhULftMDAwLcHk8HhRFsRIdJRESoCcU40cvNLK8LYqmwGX7msl2MqePNjfbHYpk7ZOWQ7FYLKVNiqzHUhAjmo0UDWXiCaJjimOh4J6l7Rw8NY/KgEYcjYc+7eLBTzoJD/YWn1vm5oJ9KpleMPyYR2qD2BxW+N5T9fRGdWaXefjFsRNREtFhiRKi/0mwv6k/zvWLG9jQZV7Ts3Yt4at7lGHoyRSt9f+WNPDwyuFW3C5NoSrPablY7lvr4/L9SvA6Veuaybor47CyM8k1z28hoZs8+qI9i0dsxynBQ0lwtf9+JA2srT/OBU80pVTnTyt2c8i0PO5a2kFCh2KvxmX7lrB7tTdlfwbDkw3HutanJyLAkG43ls8QbdZ+D9ohCQfRaHTYcy5arCROpFeOy/d3h5N897lm2oJJ5le4+ckhFTg1hX8s6+H+T3vxOBR+f/wEavIcaE434XiSgUicmK7QGwwTjptB7ZiuEIolCCcMogmDsBXMNv8fN1RCsSShWNL6nQTCMxU3jYaFE31cfWBZxnOSsRf7+ZGKh7aHJpgN49nPC69Mt+vfFni9Xmpra3f4pMtcYDwLcmRzx0V/fz8tLS0WkbT3PhTRJVultWRGSo87e9BcVVXChoNT710HwKLJfl6tC7JXjZcfHly+Vccq5Cl9IpfJUoQaqeoVATIb8bUTKPtC+crGAW56daj6tyLg4LpFZUwudI3aP3ikvsf2XjxCADpDCb7/7GY2dMU5ZmaA7y6qJTz4+fd/0sM/PulFAa4+sJTDZ5dZ/QiFAI1WISGwB8IkqzUUjnD3x918cV4BvUkH33y0jqQBVy2q4oAJLsK6yvUvNrOiLYJTU7hi/1L2mzhEgmT8VFXl5Q39tp7ME6gqDqSMk2T3nfuvjZZtn0OFhG72Or9rMJM24FIIuDSrxxCYVeTHzi7kubW9rGqPsnOFm5uOruWqZxtZ3hpmcqGD3qhBdzjJ5fuXsbE7zmMre1CAJ746ky1dIS5+YgsOFR46ZyZ5g8Fe6beZrT9zNuEt/R5I6AZffWQLPRGx5nfx22NNYU2eo/TKD3me5DvCcZ1HVvbxyMo+K3CtKmbF+H4TM1v0pB9TJBKhpT/GXz7sYclmk5yX+DS+sU8FCyeZmZhJ3aCpP2FW63TG2NAdY2NXjP5YZpGvKuBgarFZVT61yMVONQV4iFnfKU4HUu2SLdNzvD1u7NdExtAe5B6pekbslux/F8sieQ4kCCFznPR4tUNVVTZ0Rrn0abM32G+OrmR6idv6LEn+sPdtHQu2RtD9sCnMD182N8iPnVmLYwxWRGOFPet7e/Ra8/l81NbWjtt69H8JOzqn2tHPf0dHU1MT4XDY4oMyb0uQTXic3X3InqQmVaCSPCiBY0mU2l5V42DOV5mSmaQyQ+Yxe3BqNB6Y3hc9EAiktK1If38mDtI6kODiJ5uIJQ2uPrCMhTbule34nU4nfZEEv36rg7c2m4HZAyf7+c7CCpwMfb59DZJqIDk+ewLaSMhW0drcH+cvH3bzzqDrTb5b5dw9yjhimh9DT1rXWRITZd3d0BXjsmeaUYCL9izi+fVBNg666eS5VL60SzEnziuy2uxI5bYIgW63m1c3DfDTlxqZWuTk1PnFvLmpj8sWVhPQEta9J8HQroEIS7bEeHJlJ3U9w7mJAswrd3PgZD+Hziwiz6VaAqbb7WZ5Uz/ffqYJv0vl8a/MQrHVomdrT5XQdX7yaicfNqXeO7tXe7hqUTU+NUlCN/j2M83U9cRZNNnP9xaWprxWetenC4J22/706izZm0jgfCwQgdveLkd4goiN8llJ3aBpIMFGG6fc2B2zEozTUe7XTF5Z5GJqsYsZpV6K3EPCqAT0DcPA7/dbiRvp4zBegcz+nNl5OMCdS7t4bFU/x87M4+K9ioe9N13Ik9ZLEsyQeUkSn+UapIt/2cRGv99vzX9SkS9BiLFcs63lb0vqg9z0evaEgK0RR+0C9/ZKaNrRky5znCo3BjsyDMNgw4YNFqcSW3BZj+2J4fb50r5Htwf1JLgr798ee19B+top+P4LLXzaGiXgUnniq7MsHmznx+lz5R0fdPHE6n4KPBq3HVtFid9pnaf0RJb32cdAfhdPGvzqrQ7e2Gye35d3LeRLOxeNWA2afvxSqACpVt52txh7FbvoNfYAfKa1MBPS1xs5x95IkodX9PHU2n5igxrZXrV+zt65gGnFriHnz8HCIfu52dfGup4431/cQn9MZ3apm1uPm4SqDyW6ybnae6UrikJfMMxflnbx9FqTV+9U7uaKhaXUFAes5DVd13llfTc3vzHkfpQNtfkOfn7sZAqdSavC3l4V63a7eXVjPz99ybTr/upuxXx5j4qM96kE5zNp42PV3W54rZ13G4Z/9v6TAnxzryIqiwLD9iyiQY+nmlfiBXYnJukBDgzT0zIV1aQ7SGW6r9KduiSZsz8YMouHXF66egdSqrEjSQNdcdIbihCM6Ty7rp+usI7PqbBLpYeEDh3BBJt6zHHOcykYKEQSeooz1WcBp6bgdah4nQpuTcHjUPA4VTyagtepEPA4caDjcahMKXKycJKpG4ubgDwXmSrHR8J4i5rGiq3hlRID2l4agKZpTJgwgby8vG3+rP9W5ALjWZAjmzsu+vr6qK+vt35Ot6u092JOzziSjbs9m8e+UCqKwiVPbmF9Z5Rzdyvk7g97MIDbjqticuHWZ+mkC4/ZLJPTK3cywe83Fw87QU0kdS55uoWG3hgBl8pATMfrVLj6oCoOml5kCb3pRCCbMCHjJwuzEK1QKERPJMnZD22xXnvEjHy+uWchmmqO6e1Le3lqdS8OFX5xzERmFA6JAtK3bzS7UjtxEDEnE5F4eNUAdy3txOtU+NkRE/j1my009Mbxu1R+dHA5u1QHLLIr4rXYMSd1ne8+18rajggnzi3i0v3KrUowyQpd1RrkkifMqtdij0pXRDft10+u4b7l/dy/zLRIn1Lk4vRdirj51dZhx6gp8IODyjhgejEdoQQXPrKJ3ojOzFIPazsiTCp00dIfI5qEXSq9/Or4SYTDYS57upkN3TEu3rOYY2flWYF6OY/065ZJuJaNhARdJcHg/cYQ1zy3Ba9TIRw32KvGy/WHVlp9A6VXjwRm7bZRcj/IvfSvFf387aMu63sdKhw/K5/Td8on4NaGkRTpqW0P6nq9Xt5rCPK7N5tpHkww2K3axwW7FzKhwGlVftmtt1r7Y6xtD7NhUNDc1B2nLZj5mSn2akwrcTOz1EttnsK8mgIKtbgl0GfC1ohjmbI57ec9UquC8RKubBsIr9fLjS838tKGfhZUefnFsRNTnjm7pelYK7a35vju+rCbh1f24dIUHjljYtbXjZfESuVSevLTtmJHJ5w7Oqfa0c9/R0dDQwO9vUO9FNOtH8VhKD3gJfZ3dht1t9ttBZpk/d3e1ZNSZSSfO1IwStbPkZxBAoGAlWgq/NQelJMgmL03YzKZHLam3fdJD/d90kuZT+OPJ1TjcQwlRInIKwkDIuJJgPuBjzu4+6NukoZpFX71AWVMLXZZ7xVRMz0Ynu6ilA3p4lR6kubHzWH+vLTHqpKZXOjkkv0qmF2sZfwMn8/HdYsbWFI3wMFT8/jOvkW80xjl7x93Uz/4GUVejS/Oy+fE+aW4HZolsAnXuumlel7YEOSUOfl8fa9SdF23AquStCcCnAQ0g8EgG7pivLBhgJc3DhCKZ3bU2a3GxyHT8jlgSj4eh8I9H7Ryz8c97FPr5QcHlVvnILaY9hZCArmvHl3Zx18/7E6xdS/0qHx3/1L2mBBgQ3eCbz1Zj27Az4+ZyB41Psv2UXikJI0IMrn3yLURy3Hhu6MFWjM5KUkiZO9AiLruGHW9STZ0RljfFaWuO57RiUgddCKaWmQmVs6tzqPGqxNwp1bBS3WPCMxyTYX/jdTaZ7zIlghz5fMtrGyP8p39Sjg0g4X91gSeM71Hem7LvkiSuZ1OJwMDA9Y9MharWzu2trpHErAPnernO/uVDvv71iRyShWjJE5vrz6+O3LSZY5T5cZgR0YymWTt2rUpekD6GmCvcBakO54Ir/R6vSkt6rZ3cFyOx16xu6EPLntiMwA3HVbO/EHnN9HJMllDx5IG332umU3dcfaY4OemoyYQs7VyS29haS8okLZtsXicuz/q4ZGVfQAcMzOfi/YsIkO3kJS+x8JNpW2drEV2RxCBOPhIJb70m5YEWUmoG23NtvPkTGtfRyjBw6uCPLO6x6qmXTjJz1k7F1BbMNR/Wo5DNE/hp/F4nC1BuOKZBvqjOjtVePnpEdU4jKH2N4ZhWNq2nIvo4u82J7j19SbCcYNCj8Y1h1Qzv8xpvVZRFOo6g3zt4fqU4z5gko/3toRTeJJTVbhonzKOnZlnJfqlj8+Tq/u5fbC/9RUHVXFQbap2Lr2g7e/zer1WayG7zicBdIHwIKnw/8eHHdyzrCfl87++WwEnzi0EUrmAJCxLUUw6103XouQesGuVmYpe5J5J6qY9uOFw0TsQJhzXieqQQKM/FLWC2XFDJapDfzhmWYubldlSqZ0kkjQIx3TTavwzDmA7VPA6VDxOBY9DxeNQ8Lk0XCp4JZjtUPA6FLxODY9DwT34s7ze41DwOtXB35u/s/dzz5QUak/klsQOuWdlrxAKhVJcTD8rF6KxYGv46mgtTbcWO3LSZS4wngU5srljo76+nr6+PutnEf7S7dvsE2mm6lC7/bEQi7s+7OJfy3s5ZKqfaMJgSX2Ig6f4+e7+wzfg44FkedoFQZkwpce3PMJCHNJ7SAtExBQbdMMweH51F7cu6SDgUphU6GJFWxQFM9vytHn51iIvRCZd+LXD4/FYZE+qxWHQrhuFo/66Bt0Y6n94wCQfPzisFqemMhAMcfMbpqWmz6ly61FVTCwwBRV7lftoi8RY7JIVVePqxc182hLGoSokdIMSn8aPDylnbnWhtahKNYd8lmSDvr+5l2tebEVV4M5TJlMVUFOqSv7yUR+PrjCD37NLXazuiHH4jHyuOKCCaDTKFc+3srrDvL8mFTrZPJiVd+xMP8+sDaaIiDNLXJwwrwSfmuCGV9sxMO2KYjbSeeepk5lYYJLBhz7t4o/vtDGr1MUvj6pK6a8IDCOj6VUqcq4y1nbifeNrrby2sZ/ZZR5Wt0c4bnY+lx9YQygUSrEWtIt79usgvbk/aoly7fNb0A3TOqmxL8FHzeZr8lwqX969jMMmuynI81ukNxgMplwHef4URSEcjfOPj9r51/Je4rpJ2E6dm89X9qpC1ROWpVi2ZI7+mM6q5n4rWL6hK0ZjXyJjj06/S2VKodOsLC92MaciQKVfweMaIuOZqn5Ggtjv24XS9P5P6RAxdTzfI8hE7j0eD1u6w5z/aD0JHX5ySDkLp5sWaNKzFbDmgPTnUOYoCYxIIGS8G/BrX2xhWUuUioCDv5xUk/V1W0t2M21atgfKysooLy/f4Qjnjs6pdvTz39GRSCRYt25dyhwtoqVwJlmvxMoYhgQtO0SEE26VKeC4vSAJcLJep/NKWWslsU6EzPTAnSSJyrmIKGivjs/mrGJP1NNcHr7ywHragkm+NL+As3cpBEgR/KTnpKwrwmcBljX2cfPr7bQHEzhVhW/uV87xc4pS+Fsma8SxBOTEjUk4Tibum9QNXqyLcvfSdsse/cDJAb66awHlAYdV9Q1mxe2GrijfetqsGv/LF6YyuchN/0CQVzcFuX95Hy395nUv82ucMb+AQ6cGCPh91j3xtUe30BZMcvPRtexVG7CqlaKDQrI9GCmCrVSuJxIJgpEY7zZGeH5tHx+3ZA4GujSFfSYGaOiJsqk7xsV7lXDsTDOQKutv+pgKpDpG13U2dkb5/ottBOOp984pc/M5f68K/vJBBw8v76Y84OCOkybiUs0+89JawH6t7J8vf5MEACDFUj1T0qe8PhQKWc+g1+uloy/Exu449X1J1ndGWdcRob4ncz9wj0NhaomHKQUOZpb7mJinMLHAafVelO/ONC7CvezHb2/bI+eg67qVxCK8MhgMjjkZUJ5LmXNEvO8Phjj9gQaiSYM/Hl9tCeyjHfdoyJbAKYkxwhclWC4cUfq3Z3oOpZoPSOl5D6P3FM2EW95o5/XNIb66oJDT5g33ph0pCXU0SBXc1iQwZIOmadTW1hIIDE9e+F9GjlPlxmBHR29vLw0NDdbP9rlQCg6kQtye/JTe2sTj8ViuJ3b3uO0ZbLFD3EkATvzbGvqjOvPKPdx6dLUVmBR3EDlmOz+s74nxnWdbiCYNLtq7nONmeC2uKq9Lt+K2Qz73oWXt3PGBmZC3Z42Xqw4oHZZsKYU7kkwniQYSCBV3IVmHYWhttmuMcl1Ej5DkydHGeaw2771JF3d/0MaL63oxMJPwDpni58u7l1HsNlISPsUpSHizYRisaOrj2pfaCMZ05pW7+cVxU9BjYet6SdGDnReLG09dZ4ifv9nJxi5TFz5rQTGnz8vH5Rxqc9nZ18cZDzalWGH/8shyNnQneHJNv+WcCVDkUTl1XgHHzC2l0JvaWknTNP7yQQcPrehDVeDHh1WzoGKIn3i93hSHIuHj6eMoz4oEoRVFsRIge0JR7vigl5c2mHEAjwbS8efxL0/BPehOJK6nUhSl6zqxeIJowkDXXPQGw0QSBrrqoDcYJalohOM6oViSaNIgFEsSHgxmB6MJokmzXae8xm4jHt8aD/FxwKGCx6Hic6q4NAWfS8XrVPE4VFoH4tR1x1CAgyb7mfj/7J13eBzV1cZ/07YXSbvqlizbcgNjDKb3XkMnhJaE9HyphARSvpCE9EZ6QjoJgYTQQu+9gyk2BnfZlqxeVmV7m/n+GN3R7Goly8J8AaTzPDwW0u7snTuzc9/7nvO+p0zDocADm+PsGMlS5VX49IEhgk7z9QGvE4+m4FQl0M2JswueSvFyAsNC6dZVk8VEe7PiglaBdYWzlkiYC+7SjutE3ke8XhTWvFXPxDfjUFmKJ9gd45mJRZezifEJYhZszuzo7OwkEolMagVuT+yJqjihQICxxVhU8oiH3oZBgy/d00a5S+HKo8Jcdn8PigR/OqOeKt8EjQffZJTayAtwINQwAkTb+yYKsjCRSJDXDT59dyftIzkuXB5gOKVbFjpHNXn57EEVFuFTqleKPYTljN3mRyTqHQ4HZ1+3kaGUzkf2Lefvq83+jAfOcfPlwyutZO83H+tjbXeSsEflxydUU1fmshawqSwwYrMgKvyK50tc00e3DPGdR0zr6DKXzK9Pa6CuzCQW7ZZJQhUjeqWLfs7feLiLVR1JDm3y8dXDQta1yOYNPnjrDkYy5mO1MajRNpzl8sOrOHlpiEQiwUhe44P/3kIRT8iisJNN/WmaQ05qvArPtyesqj+PJjMnoLJpIIMsYRF2tT6VGy5cSCqVQlEUekdSfPA2M+n8h9PraAqZ10yQ0MUgXBReiAIPe7Wd2Bi43W56B6NcfKvZB+igOW6eb0/y4f3CnL3EW7B4i8phkSS394V0Op20DKT4/F2tJLMGxzf7+dyB5QCs7c/z++d7aRsF0bU+lUv2LeOYhRUWIW4YhpU0Fgopu71WVzTL71dFeLnTBM7VPpWP71fOIXP9k9rRlLqvUzmdzoTMxp4YmwfSbI1kaB3Kki3BlGoyNJU5LCv25pCThVVepPzUSLbiXqj2cUyUGBe/35V+2/bPE5vlYru2a1ePcOvrg8wv1/j1aXMwdN1SxYhqXWE9Jp6NdmeAic5rqvGh29rpS+RZWefiqmOqJ3zdRJZak73evmF9K/oJeb1e5s6dW1Cp/G6PmY6pZvr5z/QwDIONGzdatsJ2/CDCngQTz8x8Pm+RNyJZBGOKFZFQ2p3uFlONUs9tO1FUbLUuksViPbITIztz9lAUxVrTn9oe5QdP9qPJcM3pddT4NOsYQjVkd4GxuzkBRNN5fvn8IM/vMLHIkU0ePn1gCI8mWwk/sc7bz3EqBZeTJQxFUZgsy/QMxbl+zSD3bBhGN8zk8vv2DnHGIjcuVS4gjn70dISntkc5fK6Hb5/UZGGobN7g0W0JblgzSGS0d3itX+XD+1dx5Dw/rf1RPnZHJ6oMt144H5cmW3Mj1mcxb+Jc4/H4OJWZ2Ad1DKV4uCXGw1tj9E3QFxtM3HfyIj8ralz4fV7reot7236dBdEskuOy6uALd7eysb9wnhdWOPjsQRV878l+emI5zlji5/NHzLH6wNsLLkSvekGyiQJOO7Frx0927CTwuWEY9CfytMclNvUl2NyfZNtglp5Y6YRmwClb7XUWV3tZGHZRoeVRZGmn2MvuCmEPu+WtSBDb96ITYb6JjlcqZFkuUMyLZ9DWSIbP3duF1yHzr/fOQbYV8tmTFtNJPIuiFbHPtO/BREGGcOISpKb4vXh+CjxfSlFYPM5djc/c3cn2oSzfOKqSA+aUbtewq+cuEkHinnsr6LSamhrC4TdXYP9OillMNTsHMz3i8Tjbtm2b1JrbjmEURbGEMWJdsgtTxFojHDymavf9ZuIPqyLctTGKLMEt72vA73UXfKYQ2Yg+4YKTvW9TlN++GEGV4eenzmGPGh+ZTMZaE6fyjHY6nTzfnuQ7D7eTyRssDDn45tFVlLlM7FDMH9gLNX0+n6nkta3BQsFp/1wxl2KdFa1BUqnUlNYoIboCxvERdgdTgRV6UjJ/fqGH50ZtwFUZTlro533LgtSH/Na9IIoj7OKezQNpvj6aHF9W5eS7x9ehSro1nwKniXEpimKdx0g8yV9Xj3DPBtMZa586D5cdUkFDOEgikbCSkWdet5m4zYXoyiPDHL6gnFd2DPPzZwfosWFLTZE4tMHDSQt97FnltO5VTdO4+uleHtw8glOR+N5x1SypHCt8tONwUQQgsI64Xql0mlTOIIdCOm8QTWRI5nQ2DmS55Y0hRlI6ErCi1s3Sajdb+xOMpA1qg04SGZ1EJkdGx1Jeiz7Zmbc4ga1IjCasR+3DLVW1aSvuUiW8Tg23Q0EjX6C+djsUXAr43U4UI0fQ60LOZ3CqMpoiWXNn3788ti3G1c+YVvifOyjECc1mAd6Na4e4fs0wTkXiF6fUFhRP2t0t7fy+iFLfzV11BLKHKEwQuF84ZwlhlMDK4h4U32nhoCsKgkSuplReAKbvyjTV2NVzF0Uggpff3aEoCk1NTdazdybEbGJ8gpgFmzM3DMNgw4YNBZWHpUJsdAWJIpKyxQkrsaHP5XKs7sniVg2+cn8nGR2uOaOBP7zQx+ruFKct9vOJ/cf3cdsdUQp8iQewXWEuHrKimk4oOwUwe7RlhO89avYQ/OuZ9TyxPc4fVkXIG7Aw5ODrR1YS8qgFn1FKPQRjgE4Qcvaexp++u5PWoSzfO76GTE7nB0/2kckbrKz38NXDQ7hUmVg6z1ce7mX7YIY5AZVfnjYXp2QuWFNNAu6sZ/azbQl+8ky/VaknA786vYGmgFyg0rBbNNoV+qqqsrU/wcf/04puwM/f08jSsGn1/fS2Eb7xUAcAdX6FrmgeA/j72fXUlXut3ny3vD7En1b1W+p5a+yqxB/ObKQu6KRnOMHDLTEebInTOVI6AfihlWEuXFFhJZ9VVeUr97XxcmeKi/cJcdHyIIqiWMSvKPIonkdBRimKMq5CTVVV7tsc45fP9NBUphF0yqzpSXPFETUcu8BXkAAXx7AnCATpPxDPctl9XfQl8uxV7eR7x9fhcqgWaInG4jzUEuOGNcMMjpZx7lnt5lMHVzMvIFmWVsXEodfrtQgpwzB4eluU3z7fS2/MnLMD6t18fP9yi2i3h7AZs8+RCFFEIRIXI7E4bcNZtkYyBVbsieIKB8yq3jlBB/PKVItYXVDhwF9krSk+p9hmVxR3lBqXncifbv+aiRIBI+k8H729g0TW4MuHhzl8rrfg9XYnAVGgMFFMBwif9c9WsjqcvyzAxSvKJ33tVJPjYgMlqosnswZ+s+HxeJg7d65F3r/bY6Zjqpl+/jM9YrEY27dvn/Q5LDbngkgQZELxM0gUIEmSxHA0zpYhnbkVLpxGBkWWptVreFdjIkcgQbaJ87QXGRYXddlJjKmuTQJXXXZ3K691pzi4wc3/jtp2w1hivrhQEShIlhuGwV2bE/xlVf+YtfoRlSyq9FjEh0ggi0K7qSbCSq1nAh8IglcQfBt7ovzhxQFWjzrhVHpVLtmnjOMXlVvXsCsp87Fbt1mq8cagZhGZLpeLTN7gP2v7uWntEEOjeKipzMGSsIP7t8RYXuPm+8dVFRQtwJgrkLiGAkeIhHmx9bj4W143eH5bhAe3xHiuLUFugiUy6FI4an6AQ+Y4WFrpRB51YSmljrYrONJp0y7+xtdHCl7nViVOXujjtvVRJODqk2tZ0VBm/V2oiootTe1klujJJ9TY6XSaXF6nLyWxoSdO60ieTX1Jtk3SD7zap7Kg3MG8co1FlW6W1voJuRXrmu6KWnkyMlAUdAplVvF3ejKSrpSd6M7GAGP2r7ev7eeXz/ayst7LVUeHS75+ur0Wd4b3xHkVq33E/kEk1Xf2zJgOiZnXDc69sY2sDn8+o44a/8Rqmak+E+z2uXaXp7ciqqurqaysfMuO/3aKWUw1OwczPTo6OhgcHJz0WSyKEgVeK3b7ESGcZMR6LJ63qVRq0haNbzZiGZ3zbzJV7x/aL8w5S7wFf7fjNvHMFa1ivvlQO8+0xqn3q/zuzLk4ZMMq5N8VdefWYYOvP9jOSFqnxqdy1TFV1AfGnv1izRIONfaWdmIsYi3w+XxWkq2UBfpEP+8sSvGa9jVIJK8E1m6NSfzp+W7L6cepSJy2xM85ewQIuseS7XYHQ03TeLVtkG88Yjr3rKg12yAGvWNFekK1XZx0FMV7j26N8vOnuknlDMpdCv97TB1LKuSC4o2P3d5OV2yMm/vgPhVcvG+YVCrF9WtH+PdrQ+POvy6gcdR8P3tXO3C7XAwMx7l+zTAtgxlco9jQpcokR1XWuVEVdkaXiKdz1u9TownsUq1udmfIkolZnaqMx6HgVBhNWqs4FXAq4HNqOBXwOjUUI2f1yQ54nHgcCm7VtA8XPxvZFKo85oZQKsT9L4RCdgwkSRJer9cqDi2lMrbfk+t6U3zt4R5yuumu+alD60gmk6ztSfG/D/egG/CFg0Mcu6DQrUZgNPH9U1XVwtvFbbTs47a3G9jV2JmTj90xwL4ftXOVuVxu0gTz/8feeqrPBPHdt+9p3oqQZZmmpqaCNlXv5phNjE8Qs2Bz5kYmk2HTpk07fTgXgxDxu+IKS5HsczgcnHLtpoJqMlU2LaEHUzqyBMfN91LpVSlzKQRdCkGXTNCpUOaS8TrkCRdDe58be+8YMabi8xAPVLE4TbTBL1688rrBZ+7pYsdwlouWB7lgeRmvdaf4wZN9RDM6FW6FK4+qZGForHJP2NNMlGQSlWWChMzlcnzt4R5e607xtWPqOXaBn1c7E3z9gR2kcgbLaz18/8Q5uDWZruEUX7h7B32JPIvDDr53XDVuTZkSWTMZ0Pd4PNyyuodrXoxgAIc0ejF0nefak8wJqPzp3GacqlSgqLdfB0H4CmDyy2d7uWfDMIvDTn56otm34wdP9vFMm/m+o+b7eXxrlMYyB797T23BOEZicS67r5utozY24szet7yC9y/3W2QLQCKZZE1Xkoe2JnimNVbQO6bap/LNY2qYVz5WMflsR4bvP9ZFtVfhr+c0Iu4uAb6FmsduqS/ubVEBK8heoQb+0v3dbOhP8+F9y3lwS5T2kRzfO66K/RoCVnWpUJ+L622/z1I5na8+1MPmgQz1fpVfnNaAW9atxLSovk0mk+iygxte6eX29SMWyD18rocP7lNGjU8rqN4tRUrJskxeUvnHK33c+rrZn8mhSFy4ooLzV4RxKLK1QSy2brRvUISyerJiGlXTaIskCpLlLZEMQ6nS5GuVT2VhyMX8cgdNQbOHeWPYb32PBLk9WeJ7uhswe0xW0XzPxiiKpnHsXCcel8PaMFrnPAViUhCdu6Jmz+R0zr7R3Ej/4Pgq9qreeTWjKMQpZa9mVyiJ6ue3krwU4Xa7aWpqmhHJ8ZmOqWb6+c/06Ovro7e3F5hcLSg2n2LdKtWiRyhCFUXhudYY33q0GzCJmLBHpcKtUOXTKHdJhD0qIY9C2KOYf/MoqKUaKRaFvZjI7vAjYqKK/2KVeKkE8a4+70tFZ9zgk7ebPae/c2wV+9SOrQF2i3BgnDJdzKkkSbzcGuHHT/XTG8+hKRKfPaSaoxsdBb0UJzqXUlFqrkTYcYN9bTQMg1VdWf64qt+yRl9W7eaj+wZpDjlxOp1886F2nm1LcNR8P189stq6PvaC0mRW5/6tKf69ZoBYZmx+j2sO8PkDy6y1z64QKl4PBY6wkuBF11PMpygii8TTPNue4R+v9DNsSyQXF3JWehQOb/JyZJOXveaUFSiB7Zb6wsFKURReah3ifx/sHEdgVnsVeuJ55pU7+M3pDRj5sUIGQaBPdJ+lczrtMYNNvQm2DWVpiWTYPpiZsB94Y1BjUaWHuQGZJTU+6r1QGfRamKEUGSfmScyjuM52NwKBK8X3utT3SSicoHSSfWdEoCCt7USeSJIIvF6suhZY9udP9/JgS4zzlgX5wIqyguPaMeF0iMKp4MLi3vH2mMp3cbpq9o6RLJ+4sxOnInHz+Q0FSvmJPkfca4BVjGBP3Is9iyjYeatjprTrmcVUs3Mw06OlpQUYryS2h+hbLElSQdue4hZm9h7j9vUgk8lYBfhvxu4Xxp7LQhgheLLP3t3JtqEsIbfC38+ZY71eOISIdV2ID8RzdCSd57P3dDGQyHNis4/PHhSa9tg6RrJ867E+uqJZAk6ZK4+qYmkJFTIwLulu72UunF0E32BxWyUU4lNdp0RBaPFr7e8Xa5H9XvB6vbzcHuPPL/ayoW+0JYsmce6yct6zyEvQ67J4NeEmoOs6G/rSXH6v6di4osbF905qQEG3+D7DMAr4U8E7K04PA8MxOhPwi6e76YrmkDB5uZV1LnIoZHSJWCrLvRuHGbTxX0GHRG3AQUaHSCI7ITe2u0OWTN4vmzcsm/dyt8LcoIbXIeN1qrg1BU3K49bGEtyi17XonV3m8yDl0pT5PZBLE/R5rF7s9j2cwD/2AkC7i5ZhGCWtsYWTk925EcbjSvv9VcwLivtFfNdLOQ6J73h3NMtl93czktY5uMHNV4+oRJYkUobKJ27bzkAyz7HzvXzxsCrLTdTe9qdU681SY7LPCUy/Vc3Onk07a+s0FfeGN/v8m2rYr6nAcULhLgqiU6nU/9t4ZFlm7ty5eL3enb/4HR6zifEJYhZszuzYsmXLlMCKqMwS4E4sDiKEtUculyOXz3PGP7aOs8WeaqgyBJxmsrzMpRBwmv+G/S48ct5KplcF3bikHG5VshIudnJI2CPpul5Aakz1AfvE9jg/ebofr0PmL2fW43PIdEWzfOfxPtqGszgUic8fFOLIeeYD1E602QG3iFILpujx9tGV5Zy7VwWapvFaZ4z/fdBUqC4KOfjxqXNxyTod0Tyfv6uNWEZn/3o33zy21uppMlkIwK+qqlW8IFRa177Uxw2rIwCcsjjAZUfOoW9whE/f3UUkmeeMPcr42L5BS1ljt+8UpKHoLZROpxlK6Xz4tjZSOVNdu6LGxcW3tFsg7Mh5Xp7YFufMPcv56D6BcWPc2J/m0rvbC4hGpwLfOq6e5VVaQe94oZDqiOb42H92UByLw05ObPZyRJMXp9PJef9sIZk1+NEJNSyv9RT0dBJqf3vfKXvYQbmmaXTFdC65eSuyBDddtJD337iFZM6wrNrtYEdszMT3JpFIoBsGP3l2kKe2RfE7Za4+qYbm6qC1IbIrgezgJppX+MsLPTyy1ey7rspw9rIKLty7Ao2cRUwV2y7ardF70wq/fLqLNaPKrfqAxif3L2efWveE4FIUfYifJyK/JiMPI4kcLYOmunz7cI7N/Sm6J7HrbA65WFTppjnkZHmlgkeTrfmcqACm+OddickKhMT5i0pqGCP/RdHDzmI6wG5Ve4KrHu8D4PYLG1B3gyW5/X6czE5/d4fL5aKpqakgkfNujJmOqWb6+c/0iMVitLe3T+mZ6HK5Ckg2kSASm2ShzkilUlzxQDev90y9iEfCJH0qvRoVbtlKmofcCiGPStirUO134tLGSC87ZhTjmwjH2UkNsSbu7kp2gQV+8WQ7d26I0hDU+PWptVbC367Oto/N/rNdPd09GOXnzw6wqsN8zZFNHr50ZD1SvpD4nMo6Jar3ReJajFdY4YtkrUj+FhTqaU5uXN3HTWuHSOUMJODERQE+cXAt/bE0H7t1OxLw53PnUe0aaxlkJ3ScTifxjM4/X+nlpjfGFNd7VDp5/4oyVtR5LTWxvYBWRHGvZ9HyRhT9ifW++HWX3tfNloE0e9c42RLJErcl5u0tfQDmBFSOaPJy4pIQIcf4tdausM0YMpfd08G2wULCSiTeL9m3gnP38BdcJ4Hp0qis74qybShL63CezQMpdgxlJuwHPq/cQXPIxYKQg3llGo1BFU2WxuEoUSgpCkPtJKVIzgvsLJzFSqnC7felXfFnL4YplcCwn+vO7knhyCAS8eI7LNTYdhtdu3uDsBP/+lFVHDRnrOikVFHodIi5yXClvReqPRmRz+enbBE/XRv153ck+O4TfSyocPDLU2p3/oZJQqjvDcP4f29zEQ6Hqa6uflcnx2cx1ewczPTo7u5mcHBwp3tWu4BCJOXEs0G81/78n4gvKKUyz2QyBUngUrii1Hvta8dTrXF+9FQ/AL8/rZY5QbMgrFQCqPjZ/lq3qV41gK8cHuawudNL3rjdbiKJHF+7r43NkQwOReLyw8Ic3OAZN/7iwjvxNzFOOw4W8y4S0PY9wFQKywSHLFwqBVYQRW+COxCvsbt0inGqqsoL7Un+uqrPwlIBp8wZe5SzssaBpKik8gYjiTQ5FBLpHNsG09y/OUpOh7BHYXmNh2TWVGCnsjqJrE4qq1tK7HTO4K1OEhUXXDoUs/g3ksyRyhn4HTLHNvvxqljW4k5VwqMpeBwKDtnArSn43Q48Dhkjm+bR1hR/XjVAJm8QcMp87uBKDm5wj8Njgteyt90R3yNxzTOZDAbgdLosDszhdJLP65YaOjEqbnFb94q5Z9ANg3wuj+bQkGWFRDIJhjmnDqfLculUNY1cNoeiKmSzZkukVCplzoskYYwCXANwulykkqnRMTnRDYNMOo1z9J5MplKIr6r4V9U0hhNpfvJ0P92xHA0BlS8cEsKhyOQNg2tWDbKhL021T+WLh4TM1gepFIw+T1RNI53OWPf9UDJLnVei0mPmIyazURcxndaPpUQv9rA7ugrsLgoZp7JHnc6Y3opwOBwWJz8dTne6IcsyjY2N+Hy+nb/4HRyzifEJYhZszuxoa2tjZGRk5y8cDaEeLyYGRdht7SKJHM+0JfjDS4OAqRiPZko/bFXZXKym4/jiUCRTde6UTeW5S6HMqVDh1fBpps1h2OfEq+gEXDIuVZ5SJX9eN/jsPV202VTjAImMzk+e6bfIxfOWBfjIAdVkM5kCQFkMBItBrqZp/ObZHu7aGOXcPQN86tB6i1R6bccgVz7SSzSjM79c44cnzcGnwRs9Cb7+cC/pvMFxC7xcdmjVtBYwp8vNz57q4r6NZo+cS1aGuWhFhVVl9lJ7jCvuNZPN3zq6iv3qC5Wq9j6GgKW28Xg8/Pn5Tv752jC1fo0zlgb4/Ytmz5amMo2cIdE+nOGbx9RwZHO5ZecsQK2iKPzyqU7+84Z5zzSHHGwZyKDK8JUjazi8yWfNnVDi/PipPp7YHh9HSorwaBLHNQcZSOR4pjXGKYuDfGr/MouIKiahJiKa7IDmH6sH+ffrI+xX5+abJzRw2t82AXDL+Q24VHnC94FJvv999RD/Wj2AKsMPT6xn7zqvlQAovp4iKWuv3N0ayfC3NcO80mEe1++UuWjvck5e6B/9Lo1NRLG7g7gvn+3IcM3zvQyO9uw8fK6HzxxWh1ca+04La0u71bxQqYmNjyiKEZvFqSREBPhO5SU29sbZGsmwJZJh+1CO1qH0uOv4t7PqCXvVkvNZbK02XdtLMa5S43c4HBb5W6ov/c6i2Op2qvGXlyP8Z30UpyJx6wWNu/Tet2PMhOT4TMdUM/38Z3rous769et36RksEuSi9Ugx+enxeIjFYly/Zpjb1o0UWFovCDnZM+xgOJ2nP5EnktTpi2cLXGQmi4BTJM1VS30e8qjUBJxUuGTKXZJVlGXHdMVrxXQTVJOFcPYYSeX4+B0djKR1PrqynDOXFhYVivXQjsnFWAXBaBGJhsF/1o3w99VD6AbUj1qrzyt3vOnzEASa6OsJFChJRAiXgJiu8vtnu3l8u6kY8WoyF+xdxsb+DE9tj3Foo4evHlFZYHEu1L+CnF3bPsTn7+0ybRfBKshdWe/hQyvD7FHjHYcJstmsRbLZE2pinKJAUajFRUHjcCrPxbeYhZv/OGcO4aCXp7dHuXfDEK922jCebGJRO45ZGHZxeKOLw+eablkiiuf7L68M8591Q+PmVpbgN6fW4NIUtkYylhX61sHMhH3Qy1wK8yscLKr00OiXmF/uoNavosiSpaYvTkbbx2NX3RTjnVIFnMlk0lJ8FTs/2M/RnkQXIRL9djWO6FU/1WSr+C7YVUj2PuTSqMW93XngfTftQDfgn+9rIqAV4ubixMh03HUm+z6JPYjoZ7qre7liC/ZdiZteH+a61UMcPc/LFw99Z/frDoVC1NTUvGuT47OYanYOZnoMDw+zY8d4AcREIZKrws2wuB2OcPObKOFSnNSaqDDK4/EQSWR5eGMEAwNN1chks1ZS0xST5DEMM4HncGj86YVe8gY0BFWOne8bTTSa7xE/A+bxbH8DWN2VYl1fGk2GE5v9eB3y6CuxPkOE9f8iITj6Skky1eipTJaXOpJWr+tlVU6ayh0Yhjk/uiE4H5VsLockyVahY25U+ZvP6xi2DzAAefSc7eNQ1DFHGfs4DcPkq/Kj/G9eN8z/DMgbBrohkdN18joYSOQNg7wOOV3HMMb+XzfM9+mj7zNf/9aHhInNJGk8h+1UJDRFshwqS/HfFW5lNAluMJLWrX2LzyGjykyaiFck83VQOJ9I9mtvzkk6b1h4VJZAs7lpmfeO+UbxSRPeS7MxaZy6yMf/HGC6OZQqBplIfLSrMVmhpnA5nQ5XubNjz5SQJIm5c+e+q5Pjs4nxCWIWbM7siEQidHZ2Tvn1gvgS9nTF1Y3FFZSGYfDh/3TQl8hz1TFVLKr286nbtzGY1Jlb7iCayhNJliZ1wh6ZKp8Dn0PCrZqJ03hGZziVZyRtMJjMTat3ikuVKHerBJwSgVH7djOxbv4ccCmjqnSZtd0prn52AK8m8Zez5lggJK8b/GPNELeMKlUOafRy6cEVhAJeaxEqJkQEkSQsoj0eD/94uY9rX+7nuAVerjiyrmAR3T6U4esP9zCU0mksc/CdY8y+5i+0J/jeE33oBly0IsQFy3btwZ3R4YdP9PJiRxJZgksPq+HEZp9lHwWmOvmPL0W4c0OUcpfCb95TS9jvGmcXIxZ+ez+kwWiCj9/RyWAqT5VXoXcUdJ+9NMBt60eQJfjnexusuSyOREbnglt2kNfh4DluVEXiqdYEsgSfObCCE5r91tzmdZ1zbtxBToeDG9yksgavjvYZqvNrIDGuF7lDkfjb2fUEnAoez5gFkCDjS/WkEuH1eoknEnzoth30xfNccViYpjKNT93dhc8hc+N5DQWvF3ZNwkormUzyUEucXz5nVgx/8ZAQR8/3WYnXXC5nFQkIe0mhUhbqHVHNZxgGawcMrnmumx3D5jnWBzQ+uKKMw+f5rSSDIJKLbYfy+TzRVJa/vzLA3Ruj6IbZJ+jifSo4daEXdZQ8tffvEb3LBSktbNVFQYdQqJXqyy5CVHSLjaq9uMbj8TA4EqN1KGv2Kx/K0RXN8uNTGgssz3Zmdbu7LYrE/WDvHb87jruz+NpD3bzWk6bWp/KnM+t3+f1vx3A6nTQ1NaFpE/e0fCfHTMdUM/38ZwO2bds24fO/VBS3L7E/04ufnZmczp9eHuTBLTGLhFIkOH6Bj4/vV07Qb/aVG0nr9Cfy9CdyDNj+fbo1scu40aOZao2wVyXklgl7VKqDLoKaMWrdruBzyFZvud0R9sS7y+XijrV9/PqFCF5N5ven11HuNosS7RbRdrWUSFIKC8NiPLMpkuP7j3fTn8jjUCQ+sV85Jy0KWAqdXV3j7OpnYU8u7oFSVtcwRhyt70vxx1WDbI6Yf6/yqvTGzXP/7Wn1zA2aiWShTBXH9Xg8/GNVF9e+OsT+9W4+fWAFN78+zANbxtrrHDjHzUV7lzF/NPFf6vNFTKZ0VhSF59pTfPuRTprKHPxmtBWQuFe7Y1kebonzSEuMvsTY3Lk1iVS2kNjcs8rJkU1eDm30EPI5C+yoHQ4Hz24b5ntP9O6S61aNT2VhpZu5AZkF5Q7mVziYE/JbezWBKe223V6vuV+xq6yLeyaKddpup16sGrPPl7A4te8Di19nb0Ugy7L1/yIJD+NbLIhzmLCFz6gNbTqdHtd73X6dBaZ1uVys7ozzpXvbCXsUbrywuQBHFn9nposp7Z9ZHMJpS9f1aWHE6ZKqAFc/089j2+J8YEUZ5y0LTusYb6eoqKigtrb2XZkcn8VUs3Mw0yOXy7Fhw4Zdeo/gd4Q1r+AchLPeZArm4mdrqYJ7WZZxOp2sbR/i0vu6d+2EZmM2ZmPKIVZ1sbxLtp/H/l+a4HVm6YEkSWCM/S2dM8iOVgt4HTLq6O/zhkEsM9pySZNQZYncaGFBTjcmFfAdvzDAFw4OjXMussZZ9ByZLjc4kYhH4B/h8vBWFGzPlJAkicbGRvx+/85f/A6MXcFU714p02zMRlHsajWMAJkiCvpyF1Vkgvlg2afOzYNbYrzSmeSguQEuWl7Gb16IkMjo/OXMemIZnS0DabaMqkZbBrP0x3P0J3T6EzZgCtQHVJornBy70EtzhYO6gEoilWU4lWc4lWcorZPMK/RFUwyl8oyk8wyndIZSeYZSeXK6WYHXFc3SFZ3aOUtAPGvwmbs7aQ45KBu1ea9wK5yyyMeDW2I82xZnx1CGbxxTRa3PfISk0+mCRVDXdRKJhEUaJpNJKkaVI7GsZKl7xJw2lTn45elNfPHuVtqGMnzlwR5+cGItRywoJ5aT+fnTPdywegC/ZvCexX5cLjNxPRmhGcsYfPvxPtb1JnEoEl87qoYD6scS3mIMiqLwyYNrWdOdpnUow29fHOTKo6stksreu0lYaYq+P6Ggj0tWhvj5M71WUhwg4DIT4YvCrgmT4i6XC5cL6v0abcNZXmhP8otTagi4HdyzYYhfPR8hltE5e48gHo+HvzzfaRGgn9ivAp9T5tzRnswDiSx3XrKYl1qHuG9TlGfbEuhAJm9wyW3tHL/Ax2l7wPwKh2WjLlTQwtqxmIRLp9Os78/RF8/j1WQOnxfg1Y4YYFow2UOoovP5vGVn+qeXB7l7g1lM8YF9wxw93zsOuBiGYSlBRMJZJKDFmMSmbXlY4g9nNvJQS5xrX+qjYyTL95/sY88NI3zyoCoWhUy1jCAV7SqpTCaDU4YvHNnAqXsk+OXTPazrTfKnVQM8vCXGJ/YvY1nVWK9Sh8NBKpVCVdWCvj2iKlGQmiLBX1woI6oYU6lUQb/JYrLRqcosCjtZFHZaFv6CIC1FTAplmj2mS2JORDIKhwxh67OrSYPpWpZ3Rk3gWx9498CSdDrNtm3baGhosEjw2ZiN2Xj3hM/n26XEuP2563A4Cuyyi0kDhyrz6QNDfGifcn79wgBPtybIG3D/lhiPbI1x1h5BLl4eMIsdXQoLKhwWbonGE3RFc2yOZMiWYDeCLgW/U0bGIJOHkVSORA4SWYO24Sxtw/Y1ZbjgvU5FshLnIavfuWolzkMelaBL3mkvXxGaplnEhyRJHN/s4/7NMTZHMly3epDPH2yqPO1zpaoq8Xgcp9OJy+VCVVVisVhBskjTNBRFYVFFil+dWsvPnhngpc4kv34hwhv9Wb54RB1OTbbmfSqKA/tYxfWzFz6J5L0YhyCLBO5aXqdxzTnl3LdhkL++1G8lxQGufXWIH5/SaJ2r/b5KpVK83mdek31q3YQ9Kv9zQIiz9wjyr7VDPLo1zgvtSV5oT3Jkk48L9gowJzg2LuF4ZD+ePRFsJ5k0TePF1l4AVs7xFrzH4XDQFHZxsU/jkv2qWNOd4u51EZ7fkSCZNe8zWTJds4bTOm/0pnmjN83vV0VYWe/hwHoXTWEv7UMZNg8MsbkvyWTl+VVehb2qXSyq9LCo0k29F3xOxSrCzOfz4wg3wzDGtZSKx+MFPRLFe0Sxq7h/BNbPZDIFlt/i2grbTbt6WSjA7a/Tdd3Co6Kfq939Sdjzi6IOgSHtBF+pwkiRMJ9IOW0fh2j9lMlk2NBr3teLws5x7y1OmogWAdNx6Cq+z+zHFLh8OlEK+041xLOsMfjuKFCMRCLk83nq6uomnO/ZmI3ZeGeGqqq7XAhUXBwl/r+4cKpUiHXdLvwoDpfLha7r+Bwyh801RQPqqKsNo2prWVFGVcXSqFjBdCp5vt1ce5aGHdQHRp/BEqiKgp7XrUygBKiquaYLFJfI6jzTliCnw6KQg0VhZ2FC0BDK6TH1dF43f84ZkM8bphobmUwuTzavM5A0GEiMFmKqEj5NGn2/RFY3yOUNcvpbbyGuyqaaWVMkNEVGlQ0csoRDU1AxcGoKimSYrV80GU2RcWkyimTgUCQ0WcKhSDhVGU2RzJ7ZioRhSLzcmeCZ7VESoxWH1T6NY5sDzPWPYdPOuMH1r/aT02Fx2MU5e/hQ5dGEq8CDmNdJ08ZcACVpLHmbyevcuSHG6lGRzpJKF+/dw09FwEMkmuBXz/QxXERPXXFYNXVBk1t9qjXBnRuiGMD8cgcf2idIOOhFAlr6YjzfnuL5tphVOCkB+9Q6OXyul0Uh0zpbUh1c/3IvT7eZ93ljmcaH9ymjPmDynIZu3mMS5rm53OY9rgqHKUUGJDIZswVkdtQeX1Vk0z1gdNwOTUNWZNO23Gneh2bxpGltLivy6L2fswpJ5FG85vG4SafE/sUBo7jQ4TD3KKlRrtO+xymFeezto2DMBVQ4bQpcLLBfLpfj9nXDXPNCHxJw5dFVHDQ3wNa+OOv6Ulz7ypB5boo0it/H3/UeTaKpzEFTuca8MgfzQ06W1AQwsinr+SL4ThGlktTTtSzP5XIln0uGYbpMSJI05TaPxTEVR92ZEIZh0NbWRm1tLeXl5e/KosupxqxifDZmVGzcuHG3qiuL4+nWOD98qp/GoMbvTqsDReUDN20nksxz6cEhjltQmJx3uVx0DcbNRPlAmu3DeTb2JelPjE8uiWT5ggoHzRVO9qj10eAFjy3xKhYPwzBIZg2GRpPlKUOlZ9hUFg2ndYaSOSuJPpzSGU7nS1pz73ReNNOaM+iUqfA6KHMrVl/0co9GmUuhwqPhMDJsHsrzzYc6WRhy8IdzFhTYZQtQ3hPL8bWHe+iJ5ajyqnzn2CrqAxo3rh3i+jXD5sJ+bB0H1GrjkpFCaazrOjsica58uJv2kRw+h8z3TpzDgqD5oLeTn4JgzWQybOyNc9l9XeR0+NxBIU5o9pW87kJ5IqwQ87rBxbe2E02bi/6CcgeNZRqPbYtzwd4VXLw8MK6Iwn7cqx7vZ1W7SYAurXTx6zOb+P2znZZC/717BvjQyhDv+3cr0bTOgnKNa85qQlEUTvzLBitZfvoSP184soFkMkk8J/Pdxzqt3toiFoUcnLTQzxFNHsr9Y4p/e99QuxLrh4938tDmEU5q9nHpYdU8uDnKz57pZf85Hr55VKV1XKEWF8e4f9MIv3retJWvD2h8/6QGQo78uCSuAE92m0TRg12WZetfe8WzqqrkJZUbXu3jlrWDZEZJ/6PmeXn/3mXU+DXLrcCuPreTirph8HBLjL+9OsTI6HU7dr6XTx5cQ6XfRSwWs8YneomKAgnR51Rcf1mWrY2lAFmlqrOLSXcBnEv1mvR4PJaKyE4mChA80b20KzEV4nM6x56uvftZ/2wlq1PQyuHdFOFwmKqqqjdF8L7dYqZjqpl+/rNhEhUtLS3Teq99PZxKUnYolePnz0Z4udNmT6dKXLS8jLP2MO+/4uevLinsiOq81j7Chv4UmwaydEXHY2C3JtFc4aCpwk3QYeDVZBJZg/5EjsE09EbT9Cfy1nq5s1Blxnqce+z/jiXRy90KbpezYL0U69L6vjSXP2Aqk357ZhNLKl3W+QkrZpFEFOtzMQk8rhWJLHPHxjh/frEX3TD7Yn/juDk0h90F7jClbK9FD/iJLKeLf56ohzSMkTGJjM6Nrw9zx/oRS5lx9DwPn9w/NGobOjaG4Wic82/aQTpv8JfRfuT26Irr3LBmiMe3mlWwsgTHzPPywf2qqPGbhW4C1xTPj1CYCQyTTCb58G076I7l+ObRVRy5MGQVLhbPk7iHR9J5Ht8W5+GtCbZGxggxl2oSksnc5JjAqZj9I4dL3F9nLyvn4r38BLxuy/Ldrqoudc2Eq5O9QNeOzVwul5WIFupyp9M5bo5E8l0kmAX+UxSlIMFePK+yLBOLxSznHdHPXRRWeL1e67PE6+3FvkJZ7/V6rQLMUnvXUmpvUdRoJyZ/8GQfz7Ql+PgBVZy+yG0VjUykTH8rbC935TXFMV17d90weO+N5vfmD6fXjSVm3gWhqip1dXXvKuwxi6lm52A2zD7j/f39u/y+Yo5lqs9NsWZO5BJXqkgLsAQEwIQJpg//p53eeJ45AZWfnFhDKmeYttl5SGTypHI6yZxBOqeTNRRiqSypnE5al0hkcrQNZdk0YK7b9X7VTLjnDFJZsw/2dNpS7ko4FAmXarp5OlUZj0PGOfo7lyrhc2o4VQmHbOBSJTwOZaz/tQKapBNwO1HI4VIkvC4Nv9uJLJmcTnE7FoHhhXuMwBuiOKHU9SypllWd3PzaADevjZAYLVpcWunkAyvK2LvWxBwv7Yjy7cf7yOQNDpnr4/JDKtCUsaSYHScJni+fz1t8muCpHmqJ8ftVJh9X6VX536NraS6T6YzluezeTmJF1uqXH1HFSYsryGQyvNab5duPdBDP6FR6Va46tpbGwBj+zRoyf1zVz32bChVedX6V/Rt8PN8WoydmJrDP3iPAxXuX4fO4SrbPgbF7Xbju2AsgBc4qdp8UIirA4vzcbrfFAdrb7IifFUWxcFZx8bTY5/h8PmKx2DjHB7sLlQiv12u5DYkxp9NpqzjUTLSbRTGCu3xkyzDff6wLgOYKB7oBbcOZCdtv1fpV5pU5mFeu0VRu/lvlVfGMcp/i80QIPGu2UchZnKZ9TorPeTqxMzw63QT3m3EiereG1+ulrq5u2kWsb8eYtVKfIGbB5mxs2rRpUkuhiUKoRAVYmegBHE3nueiWdnTD7BXcWBmw7A/nBFR+d1pdgYpGECK5XM56OGuaRl80RVvUYFNfii2RDJv6k/TGSn9mvV+lOeRgQYWTZXV+5niMgmS5+JxMJmMlHosXLN0wiGd0Isk8336sl554nv3qXCwOOxlK6Yyk80QzEElkGUzmiGZ2/bEh+mIrEiyv9RB0yvgdEkGXTMjrwO+QCThAczr5yeOddEZzVLgVvnNsFY1Bjd+vinDPphiaLPGDk+ewtEIpSKyKc9o+mOGbj/UxkMgR9ih8+5gq5oc9lr2lsPLWNM2y6xY9mm56LcIfXujFpUr88ewm6oPOcSC02FJfkmXOuW6TReidt6yMh7ZEGUzl+d5xVRzaXGldX3svKBHfe6KP53Yk0GSzZ+T/7F/Be/ep5rpVXfzt1SEA9q118kqX+Z4fn1jLPnP8SJLESX/dWABwvnPCHFbWmOB1x3CW/7mrE1mC/evdvNSRtDYQHk3i6HleTlzot2w3BaEmkv7JrM77b20nlTP48QnV7FHl4l+vDXHDa8OcuqSM/9nPtCQsBofDqTyfvaeroG2AhGnzeebSAHvVuC17fQGyRULefh2LFT9AgW2loigMZyT++lI/D20eNntWyRJn7VnGxftWIufTVtWbOG7xJjGNxh+f7+aBLSZB6XPIvH/vMk5a6EORJYuEFWMVPSHtvczFRrR4/PYQczsRGVgqaS4A5M7A5HTB5lSV5rt6/OkAzVROt9wPfnJiNUtHkyDvtpBl2boXhB1qVVXVO7Y6c6Zjqpl+/rMx/cS4qqpIkmQ9g3clWdSfMvjh491s6B/Dsn6HzEf3K+fY+T4rMQuMI2xiuspjW0bwu1Q6RjKs606wsT9FqkTistansjjsZM9aD81lCk1lDgwgksgxlJEYSObpHknTH88xkMzTFzct3AeT+SmpbWQJKtwqIc+o8txtKs5ry9wENJ071o/w3I4ki0IOfnpSTQF2Fv2di3s02zGCOGeR9BR4742eJD98qo+BUWv1zx1aY1mr2wv1RHEejO8zDViKDJGUF243dowgeoWLEPbtdtKrYyTLVx/qsTBTmUvhw/tXclSjSZ5qmsarHTG+8mA3ZS6Z689tKCDS7DbV2wYzXL9miBdGVVqqDCc0+3jfsiB15d5xbWZEYjmXy1lFW70JnQv/uRlFgpsvnIffpVlFqALn2LGbYRj0xvN0JCTWdY2wtidNSyRT8p4qDk2BlbVuTlzoY986D8+2xfnp0/3jyO75FQ6uOKySeSG3lZBOpVLoul6AOUQxpLgPxFor8JU9oS+cjkr1BAeTtJZls0dpPB63MJP4nV2ZI44vjikwrrj2xfeNIDcF0Sk+0+FwFCTwJ+sPK5yfStlHijGKveqH/tNOXzzP94+rZnmNa6fPm+kWXE7lfdNJck83Md4dy/LR2zvRZLjl/EYU+Z2JtSYLQcCL/7xeL8HgO9MyfhZTzc7BbEBPTw99fX27/D47FoDSvX9Lxc5eJ/BVPp+33FDAXIMMw+CWdSO09KdJ5nQSmRzJrEE6b5DImA6Xu9IqZbqhyeDWZFyqbCWtzf/k0d/b/1+iL57joZa4mcz1KHxkZTlNYR+apKOSx6MpBH1uZKnQ6UngDXtrn+L1ya74zWazVgGeqqrcvyHCs21xPnNgBSGfy1QMF/V4T6VSVotB4dwnxBkwVrAHYy4x9hZNYgzpdJqRdJ7/rI9xx/phS0iyT62Ljx9UQ4PX4NWuJN9+zGxnc1iTn8sPrUCRSq/l9uJIKOSRtg1m+OGTfXREcygSfGhliPOWV7CmO8lX7msfh+nOWhrgIyvLAehOGHzr4S7aR7K4VIkvHBLi0EZvwXzftXGEP6waBMxihYztgE5F4pKVIU5d6CnYJ9ixobiHRTJfnI/A0cU8nR0rCsdQu6hKXBMY+/4IrlLw7SLEnswwjIJizHQ6bc2fEMvY74XivYy4r0SLIHEP5HSD3qRESyTF9sEsWyNpNvYlJyxkVmXI6eYe7L17Bti/3sPcMg2fSyvZCsp+HsU4zM4R7oz/m24ieip85XQw4nSFPDMh7JhS0zTKysqsgqh3WswmxieIWbA5syOfz7N+/fo3dQy7osLhcFiAxp44+uL9XWzsz/D5g0Mcv8BHXta48F8txLMGXz+ykoMaxqrTBGkm+t2Jr6PT6eTJbTH+8UofXz2ikoU1QTojUVoiGVoiWbYO5djYmyjo72ePOr9Kc4WD5pCpLl9U6caljPYRsalzS8XTbQl++GQfHk3mXxc249XMBdj+qEhk8vzs2QHLImnfWhcr611E04Zp626p0fMMp/Vx1YK7ErJkKp2rvSpbBrN0jGRxKBKX7FPG8voAZW4Vp5HBpUq83pvmu4/3Es8aNJU7+OFJDVT6xhQCsixbFZjFBKFhGMQTSb7+SA9re9IsDjv48Qk1aKpiWX4DVnJUzMea7iT/+3CvdazlNU5e607jUCTu/OAichkTBNjJWXv85Ok+ntie4OAGN8/tSOLRJP54ZiPVASd3vN7Pb1+IWCRzuUvm+vc2Wp992vWtBQS0R4XfnjGXylHX5i/c28XmSIbPHFLNkU0+7t80zL0bhuiyFVksDjs4sdlUkYeCfouwfWxbnKuf6afWr/LH0+uQJIlfPz/AA1tifHBlmPft6bcqLsUcZnI6X7y7lXV9aWp8Kp88sJIHNkd5rm1MhbOwwsG5yys4dmEFqWTcUv7DmBrMOp8pknPtCYnfPdPFaz3mWAJOhQuWBzln7yrQ8+OcCYqPvbE/ze9ejNAy2vezucLBF46oZWGFwyK6RSWmvb+oqJrN5XKWWl6AN3G9xe8mA4QCdE/0nRRgRNf1KanRpxJT7cezqwTpdAjVF3bE+c4TZnX8nRc2vKtU1ZOFoigsXbr0vz2MacdMx1Qz/fxnw7S17ezsnPb7ReJLWIOLNWWyZ6hQbmzpT/LTp/tptXkVVrgVLju8hhVVhXacQu1w94YRfvuC+axtCGrsW+tiRY2LcMBFSyTD610xNvZn2FHsf4hJRjVXOFgcdrJXnY/5AdNSvThpnNMNBpN5+hN5BhK50X/N3ueRpE5fIsdAPLdLSp9Kr8L8coelOA95FKp8DurK3JQ5JRRjzIpdKGtEb+lEIjGu111XJMrPnu3n5U5zfo6e7+VT+1fgc2mWzbV9vRbnCIwjUgSuLFZTlEqmw9jaK/YThmHQOpThIzdvLcBzCyocfOqgSpaGHdzw2jA3rI5w1DwvVx7XUEDQ2YlqERv701y/ZohXu1LWtTt9jzLOWuwl6DLvBTtusK/b92+O8psXIuxZ5eJHJ1QX4Ka8brBjJMuOqMGWgTQtkTRb+lMTYvwyl4IBDKfG5sWjStT6VSLJPIOpsfcFnDJHLQiwV5WT3zzXZxWbml0TTfLz04dUc9w8d8G8irELHC/U4qUIa5h6UaA4b3EdhaJbkJfFpKX92sIYCWj/uyhSFjb2wmYdKGjLIxTlxeMX94wgzu3FNcUhPn8wmef9t7YjAf9+XwMezSTcxftFqyB7iDHtKkU0Vfy3qwqfqSZ4imNVe4KrHu+jqUzjN++p2+X3vxOjvLyc+vr6//YwphWzmGp2DmYDtm3btksteopDFF6LAjYhCJksKbWzZ3ep9UzwYl+6e7uFNXY6NpHAVkyLcHvC2ufS0NBxaRJep4rHoaAapi37v9YOM5zS2bvaySX7lOFxqDhV8DpUykYT2KXWMhGlsMDWwQzferSXSDJPhVvhW0dXsUddwFIFCz5KtMcTfE6puSrGFfY1VCRlh2IJLrl1ByNpnQq3wpeOqOXAxvFtPkURIlAwZoFDSiUv7ThIcGn2ZPlAIsdNrw9z/+aYhb0Pb/JzwTIfQ1mZbz7cSTZvcGijh28c30A2vfPrKUlSgftNIqtzzUtDPNZiqrsPbvTyuQPLeW5Hgl89Hxn3/mVVDn54Qi0AsXSenz43yEujDpoX7V3G+csCFoYHuG71IDe9PjLheGr9Kic2+zhugY8yl2Jdc3tLRBH2hK4oRih2pxTcryg2Ec4+pXDZVPCJ/R4RynDBLxbv+wRGEo5OAoulJQfrO4dpHcnTMpBi+1CWtqGJVeAOReKABh9NQYVF1T5y+Tzfe7SLvAGfOqCCUxb5S2LniWKy54QQEUHpdo3TLXCcikBnV3uMT7cN5UyNpqamXW5J/HaJ2cT4BDELNmd2RKNRWltbd/txixeJ69cMcePaYQ6f6+HLh1ciSRL/eG2EG9dEWBx28NMTayzAY3+Q20k0j8fDl+/ZzqqOJMfM9/K1Y+ZYi4x9kR5O5dkSybB1KEdLJMvGvgR98dKgsHY0Wb4w5GDPugBzPEaBXaM4l1g8zufu6WL7UJbz9wpy8d5lJY9nGAY3vT7CP9YMAbCixsVXDg/jcxb2PJNlGUnRaBuI8Yk7TQL5i4dXM5LIFFi5RzMwmMwxlMpZvQp3JUQFHIDPIXFAg58yJwSdMmUuhTKPSlXATdBl2r27NMUihbLZrAVseuM5Pnt3J/GswUXLg1yyf7VFsAqgaQebP3u2n0e3jt/A7Fvn4Ycn1ReApVIL96+eG+DBlhgXLQ/yUmeSjf0ZDm/y8+XDKvB6vdy0updrRonsxqDGb85oRNbNXjKn/9NU2QadEsNpc87ml2v85MQanKrMnRtG+ONLgywMOfjN6Y1mgtbtZnVngtvX9vPcjkSBivyY+X5O37OCOo/BlY/28WpngktWhvjAyioSiQRXPdbHqo4Elx9Ry3ELvORyuQLQ/71HO3hkywheTeKnJ9XSMNrTrz8tc+PqPh7dGreqPKu8Kmctq+D4+R7KvE7LolKQdQLYF1tIis8SGwdBgOu6zureHH98sc8i9ev8Kh/at5zD5wUsu3ixURTqeBGaw8lta/u4fs0w8YyOBJy00MfHDqwh6DbVPEI5JMYhiMziQovpJIcnA3WTqdF39t6JYqoAVYBHe4XyVF6/K/HnlyLcviGKS5W45fzGXXrvOzncbjcLFiz4bw9j2jHTMdVMP//ZgI6ODgYHB3f7cXdGtAiSzjAM1vYk+cVzEXpsBW+1fpUvHBxi73q/hXMcDgePbh7kjg1RNvanC9rnaIrEsion+9a62bfORYVbYfuIwcb+NGtHk+Wlkp8hj8LisJMlYSfLarzMDZh2k/YQa4J9zdENg+GUTv9o4rw/YarN++Pmz4Mpnb54rkAVMln4nTJhj0rFaN/z8GjivLbMjU/OEvaoeDTJwhaSJJHL57lzU4K/vtSPbpiFAl8+PExTmemiU0wQiT7R9usiLBaFcgqwlCSCRCsOoQwRhJ24Pj9+qo9HW0aYW6bRH88RH8XBR8z10BHN0RLJcNmhVRwzz20dq5g0K461PSn+sXqIdX2jBYyqxDl7VXDGEh8hv8caA4ypmn/0VB9PtSY4b1mAw+aV0RJJs6EnztZIhu1DmZLqL0WCpnIn88pU5lc4mF/hYF6Zgwq/m3w+T8dwmgc3R3l0W5w+W1/1Or9KyKvROpguULeEXBJpXSp5zx3W6OEzB4WoDHotu/F0Om05YoFpMSkcWoQVqbiGhmGMw1J2RQ9QgDsnwnP25LtQjsFYL0VB5onvcnFhplApCYW4GKvAlJqmFSRHpqO28Xg8PLaxn+880TfW4ms0JlOcT3bek8WuWPcKN4ep4MrpKthvfWOYa18d4oi5Hq44vHLnb3gXRE1NDeFw+L89jGnFLKaanYOZHoZhsH79+mnbDk8UUylGmug5W8pKPZVKWc/vZ9riDCTyBD0uJD2LW5XwuR24NRnFyPOr5/pZ35/Bq8ncecki8vl8SXxb/Dn2lokb+tJc8WA3ugGXH1HNkY1moeKuJNtKnV9fPMc3H+2lbTiLR5P56hFh9ql1T1rYaF/vi+dEjCmTyaCqasH6qqoqG3sT/PSZfounOm1JkA+uCOAaxc2iWFbYrAtrasFVTsQFORwO62chthDXyI5Du6NZ/rl2mMe2xjEwxUfHNQdZGlL57YsD5HQ4en6ASw8q26nDiuCefD6fxYOpqsrtrw/wp5cHyeYNqrwKXz68kmfbEty6bnxSO+xR+NvZcwCz8PK612Lc+rqZRD9yvp8vHBxGlUzu9cEtMX73YsTiLS/YK8jBDR4e3Brn0ZaY1VNdleHQuX5O26Ocfeq9MKpylyTJwoilbOlFexmB9UWrIYHvBU8pOPxiEYf9ughxjF3Rb++FXYorE5g1nU6T06E3JbE1kmZTb5xtgxm2D2YZTE1Q+KFJLAi5qPcprO5O0RPLUedXuObsBSh50zK+bzjOZ+/upDee4/C5Hr52VI0lztuVmIznK1WEYI+pYr7phL0YaCox3YLLmRiLFy+2CnrfaTGbGJ8gZsHmzI7e3l56e3t3/sJdjGJQtq43xRUP9uB3yFx/7hwU2UxaXnLbDrJ5gx8cX81e1aWt7ATBlk6n2dSf4gv3dSNL8PvT66jzmw8kUfkpqtkURSk4jkiWt0QybBnIsCWSpncnyfJFYRdLq73M8Zl20s+0xfnBk/14NIm/nFmPvyjZbY9n2xL87Nl+UjmDOr/KlUdVWQlRMVaRQD13tNfbn8+oY27YrDwqJmU8Hg9D0TjDqTwDaYlfPdtD21B2FOh4QTd4sTNJMmugSCaom45Nk1uTKHer+B0SFR6Nco+GV9Gp8DrYMZji3s0xJOC7J85hjwoZTTEBlSRJxONx3G43kZG4ZTcOZlJ666AJFi7Zp4z371dTUpFjj9+vinD3xijvWxbgsLlePn9vF7oBVx5ZyZELK7j8ntaCStw9q1x84+hKJFnjvH9tBeD9Kyr4x+qIZVd/0kI/nzmwgmgGLrq51bT2P28+YUfhfZDCwQObhrhnwxCdI2Mgx34efz93LiGXOf6P3NzCtsEM3z6misOaQwXW4n97qZfrXhlAkeCqY6pYUTtG3grbyu7BGPdviXH3xiiDo7ahblXi1KXlvGeRj7B7DIQLwG3fbAi1jNhUGYYxjixUVI0HtsT420t9DI0CyGVVTj55UDXL6vwkk0mrR5J4n0g8Awwm8/z2mQ6r2CHglPnQvuWctqyS9GhlZy6XGwe8ilVBu8uG0uVyFYDpUjEdoLmrm8lia6iJQqjndgVafOXBbl7vTVPnV/njGe9Mpct0oqysjDlz5vy3hzHtmOmYaqaf/2zA5s2bd7koaSoxledzcUHUc20JfrcqYq2tAPPKNL56dC1N5YW9vHOyg+e3DfJKV4pXu1IFyUqAsEdln1onK+vcrKhx4XXIdEZzbOhPs7E/zcb+DNsGMwXJdTATpPPKTVX5slovSyqdhJ2GRfbtyly53W46IlG+dH83vfE8e9e4WBJ2MpQZ63neH8/ttH+1dTxVspTmYa9KuROqA05Gkln+s36E4ZSOQ4ZPHhDi+AVevF6vpaCAQtWCPaknEqO5XM4izLLZrGV7KMg10T9QYHe7244sy2zoHOJTd3ViAN87toqnWhM8sCVWoCL/6zlzqfUpFjlXnKgvFYZh8EpXiuvXDLF5tFenzyFz9h4BzltRhcehMJzKsb47xtbBLH97eYCcblhK7VLzOK/cwYIKB4uqPDT6ZRqDGpoiWSSi+FxRdCrUMHndYG1flvs3DvN8e8IqZtVkWFLpRFNk1veldlocW+lVuPLYOSwJm8SWuEYCK8mybBUR23GLwFh2rOX1eq2xirY4dvwiijUFaQmFvR3FnsB+fCgs4hTzUIzvBJktbDhL/V0kzYt7kU41blg7wr/WDHLcAi+XHhweN86JYjo4dqrJe0EaA1P6jOkqjX7xbD8Pb41z0fIgFywv2+X3vxNj7ty5+P3+//YwphWzmGp2DmZ6pNNpNm/e/F/7/FLJ6VK4rRQ3YX/+29faN3oSfPYOU5j0veOq2LvGPe54pT4bsNbcbDbLv9cO8481Q7hUiV+dWkudX9vldapUMiye1fn+kwOs6UqgSPC5g0McO9/kKCdye7S79SiKUoBzxJhEct2u1nc6naSyea59JcJtr5tFtXOCDr56dC1zfWNFcwJvCgt2e5JWFMXquo6u6xbWFE42AnvYW+AU8zetQxluWDPMszvM81JlU+D0aleKvAFHNnm47JDwpMnx4j7c9nnaEYNvP9JBVzSHKsPHDqjita4Ez7TG8ChgNzx1KhI3nltr4Zx7Nwzxu9Ek/YJyB18+upbrXonw9HZTie53yEQzOn6HzI9PrKGxzAGqkwfW9/Pglhgb+sfu1zq/xilLghzZ6KI66LYs0Uvd10IBH4/HC1o+2q+d4LPtyWSxFxDFJ7IsW61yRJK4GMMIi3bDMIhmoaU/xcbeOK1DWbYPZ2kdTJdUgUtAXUBjQchFg19mUbWXei9Ue1UM4MdPD/B0a5yAU+Hqk6ppCvss19fvPtHHC+1Jan0qvzylloqAZ0Inysmi1HeouL3VRLGrBZ67Yncu2lsVtyfYXWOZqSHLMkuXLp0RbR9nE+OzMWOitbWVaDS6249b/GDN6QYX3ryDRNbg5yfXsDBkbv6vWTXIPRtHWFnn4kenzJ3Sw/hbj/byUmeS4+Z7ufSQsJWgEnbgMDXyIo3KG51RtkQyZtJ8IE3PRMlyn0pzyMkbvSkiyTxnLfXzkZUVkx5/22CG7z7RT08si1eTuOLwSg5bUFFgNwjw4f+00xvP85MTa1ha6Zxw/HZLoKFogu892c8rnQkcisT/HlnJkho/n72jld642Ydc9GY8bK6PI5tcpHSV/miKoVSeaMZgOG2q6weTOYZT+QktZyYLn0Mm6JIpd2v4HVDmVhlOGzzbOmYT/vmDy/nlcybQ/djKcs5dHrIKHSRJKkmMXfvKILeuG+HMpX4+urKCv60e4pbXhwl7FH5+cg0fvK0D3YADGzy83pMintGZV67x8QOr+er97YDZO+9Dt7UTtalrLju0kuMW+Pj243083xbj4n3CnL+n1/q7/b7VHA5WtQ7z4NYkz2yPWtWYsgQnL/JzUrOfxdVezrm+hWhG53fvqWVeyG1Vs963vp+rnxkA4NJDKzllcRmZTAZFUXC5XAWqF1H48MT2OLevH6F1KGt91uHz/Lx3rxBLKscIZfEeKE2giZ5HkiRZFauappExZP7xUje3r49aqrOjmrx8YEUZVT7VUuoUL4GCrHupbZjfrxqkdcgEf8uq3XxivzKaw+6C3lECEHu95tyKnpHTtekRYF1stHZFfbMrMZ3e5Pa+SkJtJEhjwGoJsasE5gdubSeSzHNAvZtvHF21S+99J0d1dTWVle9cFdNMx1Qz/fxneuyO9jwTxVSf6cUqlWQyyQObo/z1lUFLcQywR6WTyw8NU+lTC14LJsmxYyTHc9uGeKUzyeu96QKltizBwpCDfWvdrKxzszDkQFMVEpkcWwYyVrJ8Q1+mpJoh4JTNXuU1XhaFNJrLVDyOqbXL8Hg8PLVlgG8+2osiwZ/OmUeVq3DdSmTsyvM8kZTOQCJPXyxrKdGju9jOJ+iS2afOS8gtEXYrhL1jPdCDLgWf12MpS4QySMznuGK90b6GgkwyDKPARl3YYuu6zo+f6uWJ7QkOnOPmyqOq2BrJ8NNn+mgbNknNKq/KR/er4OjmMqv9ir334UQhVEbP7Ujw91eH6Iiax1NlcCoy8QmqS8vdCvPLNeaXO1hY6WZptY9qn4Iyuu4X27OWKhAU95q9f3cikSCpKzy0aYiHt8bZGhkjKKt9KntUuYmmsqzuTpMrqr4QCXtZMhVD5y0L4nYVFn4IglIULQAF/VFFortY0QVjCW0YS+4L9b+Yc9F3z95vs/j87WHHsKIfvcCRolDTXixhL7oQPelFz/RdxZXfeLSXVzqTfPqACs7cK1zSer9UTOezpuuWJCzlhQOD+G4B1ninozK67L4uNg1k+OoRYatn6bs9Fi1aVKAefCfFLKaanYOZHoODg3R0dLwlx57qvt+e2BXcylRCJLGEo5HL5bLWxwtvNi3El1Y6+MmJtZN+bqlxu91ukqk0V9zXzuu9aRZWOPj5exrweUxV91T5DMFb2fukS5JEPJnmF8/188R28/Mv3jvI+5YFrXVIrNt2zsjuqCdCuAEJ4YbgsgQOshe5vTGg86PHO4kk8ygSfGBlmIv2qURizH2oVPs/u2JfYBjRk1yWZSs5K7ClvT98cWzqT/PP16OWhbkmS+R0AwM4ep6XSw8OTZgcL6WSF643iqIQTee4+sluntxmcu8HznHTn9BpiaSpdkNfCqu4VgJuu7iZMq+DeDzOG70pvv+E2VJHYD5Vhg/uG+KkZi9XPtLDhr40lV6VX53eSNhjzoPH4+H1jiEebInzaEuUxOg+SJHgoAYPJy8KsLzagTwqiBE8tcfjKWiHVJz8tSfSfT6fVZRg57yKe4/bw+v1ks7m2TGcoWUgxabeOG2jduj2YmZ7eLTRItSQm8aATFOZg7llGm7NxI4CK4n9xR+f7+am14dRZfjucdXsP7fcKta4Y8MIf3ppEE2GX53RxJIqD/F4fKeuUxNFMdYX9/xkMV2F9q4msO3fcfEdEZgfxloVTEfANBPD5XLR3Nz83x7GtGM2MT5BzILNmRuGYbBhw4a3xL6jFHnw3Sd6eX5HkvfvXcb79goCpn3Nx+/sRDfgd6c3sKTGZyW4c7lcScCysT/NF+83VeN/f98CytXcOOAoSLfJvsqlFpWRdJ6WSIbtwzobehNsiWQKrDjtUe1TWFzpZnGlm0VhNw1eHZ9TKbB9SUsOvvFAG2/0ppEl+MjKCk5f7CuoMBIkRXGv9cmUEsKK/VsPd/DCjjiaLPGN4+qp0PJcel+XpRa/aO8gH1xZZSkv7ISVOL7D4TAVJJJKNCsxEM8QzRj0DieIZSWG03mGUjpDyRyRRI62oUxJxcxUQgLqAyplLoWQz4lP1Qm6FMI+JwGnjE81CLoUHmqJctu6KKcs8vGpA0JImpMP37yVnliOpnKN7YNZJODG8+Ywkte44t42BpN5yl0ygykTMN53yQKuezXCP9cMEnIrDCTzOBSJn59SR9tQmh891U+lV+Hasxtwjfa0KSYtBegfiGf57D1dVn9HEYvCTjaNVmHedF4DHoe5UXmtM87l9+0gp8M5ewT40L7llgJbkF2CoASsaloBKF/uSPCvV3sLVfHVbk5f7OWQRh8SY72WSiWxi0lN8X0URGPHYIK/vzrIY9tGQb8icfae5Zy9xDuulQBggSen08lILM69LSmue7mPVM5AluC0xX4+dnAdLgWrN5DYgAjy026NuavEouhlNRWQCdNTaIuYrgpnopiuUv7Mf7aS0+H9ewd5315lu208b/dobGx8R2ORmY6pZvr5z/SIxWJs3779LTn2rjxLxdoqrP5EIunGNRFuXDtM2pbk3q/OxWWHhKgu91vrfnFfuXROZ/OQwXPbh3m1K0VbUb9xn0NmRY2Lfetc7FvrJuxVrc/vS+TZEsnxRk+Cjf2mY1FxIaKEaVu+R5WbPard7FnjYU5AI5sx13KRcBQJyFwux3ef6Oe5thj71Lr49jFVO61ct2NTgFROZyQj0T2SNq3a09AfzxFJ5umJZhhI5ickp4pDkcxe7mGvRtirUuXTKHNAXZmbKr8Dn5Kjyu9EMnTLdhOwiBpBDIlEoCCRHQ4HLX0xPv6fNnQDfnFyDc0hJ39YNcBdG2O4VMlyJ1pW5eRTB1fR6DcxTKn7JacbtA9n2TaUpSWSoSWSZutglvgk/cDL3QrbBjMsDjv59vH1eBWzP6lIvovktr3HqMBBoijRbptfrMwWRZLCNlwUTm4eyPBQS4wntsctIlMC9qnz0BfLsGNkYreapVUuvnJ4JXVlbougFupvobAS5L6Ye9E7shT+KbXHAiyFOGAlDYRSS1irTuSqI75fArMW29oKhVEymbTsOoUbgN0SXhRiTDV0w+CCm9uJZ3R+f1YTc7xTV968Vb0gdzWmS6YahsF5/95BMmdwzWl1lpPZuzkkSWKPPfaYEcqed2vMzsHMjs7OTiKR8f2Yd0fsCifhdrvRdd1yPREWxZM5xwnFpuB3RPIQxlqmScCt5zfgUMfzL5OtO2Jd7ovn+Ow9XcQyOufvHeLivXzW+iqK3UTC0O50Jzgusa4K4YYQM4C5Xl63eohb3jAtv09s9vGpAyqsxLBwDLSvccU918U6LzggUQwpXptOpy1ltdvtJprWufqJdp5qNY+xOOzg68c2UBcw3yswpMCOQpRQXLwnzlNRFIsXElhaJMWLleOigCqXy7G6M8H1rw2zrreQK55IOV6KVxZ8mMC2IuF6x7ohrnm+h5wOVT6VdNZgOJ1n33oPG3qTFuYD+OHxlew3t4JEOsuvn+vjoS1jgraL9y7jwr3LUVWVvpEkX36wm/aRHI1BjR+fUE3V6L5GODSlcjpPtSZ4sCXOett51fpVTlhg9iKvq/BZSVIhjJFl2VKVG4aBqqrIsmz1Unc6nQWFrTDWQkfcw4PJPNuHTGetbYNZtg9l2TFcuhe4UIHPLdNoDrtYUOFiUZWXap86IRco3AjEPf54a4qfPtUDwBcOMR0PHA4HmqbxamuEKx7sJqfD/xwQ4pzlYQtP5nK5ki0DphIej8fiO6cS01Vo726u0t6KbDZ2HsFgkIaGhv/2MKYds4nxCWIWbM7ceCutiUrZGN+7KcrvXoywrMrJD0+osX7/46f6eLI1wZFNHi4/bEwpONli8c1He3i5M8XxC7xccVS9RfQJgDVRH0MRO1tQ7MnFkXSeHTGJDT1xtkQyPNcWm1BdXevXWFTppikgs2edn7l+CZ/LwW+f7+PejcMAnLgoyKcPDCEb5vxc9VgvqzqSfObACk5aWGj1ZrcdFARcJpOxwHkskeJnz0V4artpcT7PZvcNcOx8L5cdWmlV/tmTvsJSUYBWu62Ny+WyFBliDEIFs6Y7yf8+bNrv/8/+5TRVuIhlYSiVp3UgyZ0bxwBbmVshmdELSOhdCYcsUR/UCDhldMNgbc9Ywrep3MGlh1bjlvOgOPjGg+30jFqfyhLcedFc0pKDC/65hUzeYEmliw19Ker8Kj9/TwMfumU7iazBD0+oYVmV07Lst9+3ooJ124jBZ+9sw6lIXHFYiMe2J3muLY79tE5d5OOkhX4CHhefvbOVkbTO4U1+Lj+0HN+o/agAiV6v2QdS1/VxKjV738XtQxluXz/CE9sSZEdLSGv9Gqct9nH8Ah8VAe+4+7iYwBQEqACsgmR0OBy83jHMX18d5rVu8xhBp8z5y4OcvNCPOgr4xXehuGdla98If3p5kGfbzM8KeVQ+vG8ZJ+9RaX2+2IAoimI5BNirpacSwhGiuP/5zt4zHUCrKAput9sC+rsjpjOWREbnvJt2APCzk2pYFHbutvG83cPr9TJ37txxfareKTHTMdVMP/+ZHn19ffT09Lwlx96VZ+lEiSOPx0MsFuPaV4e4a2PUwnIScESTh68c00g+M5a8FElaO9kDZg/GVzqTvNKVYnV3alxitTGosW+di5V1bvascuFxahb5ls0bbB3MsHVYZ31vinW9Sbqj4/GqR5NZUuViaZWbpZVuFpTJVJd5rUK6jpEMH7qphZwO3zlhDvtWq1MiNew253a7avF7cfxUKkU6myeSzLOqI8E/Vg8RH23XM6/cgSLDQML8e7F9fKmQMNXWIbdCdcBJyKNQ6dUIOnTCoz3QG0J+chmTRBXFfIlEgquf6eexbXEObPDw/ZMa+cgt29g+mOaLh4bojua45Y0R0nmzUO+EZh/v37sMhyLRlZTZ1JdgU1+SrZEMrRP0A1dlmBt0MD/kJJPLs6Y7bbWdcSgSmbzBR/ct45y9Kix70Hw+b5GFgkwW+w6RDHW5XJaFvLg2QkFkL061XwdRxCp6eqdyOi9157ln/UABBhaKoSqvUrI1lCLBqYsDXLw8iMchT/r9EThvooLL4uSBsDYVRH8ulytoE1XKnt0e4veCxBT2qMXkuiDcnU5nQQGBsJJNJBIFtrJTia5Yno/d3o5DkbjrkkVk01MjJd+M45G4T3ZX7IqVpj364jk+9J8OFAluvaDRwvnv9qitrSUUCv23hzGtmMVUs3Mw02PLli1vmb3vrrSzsRey2WNnxU8iAS2SkwIvpA2JM/62GQO4cHmQC4taW4hk9kSJd/v6+mxbgu8/2YcE/OTURpaUSyWL8YSyF7ASn0LIIKzgxRgBa97v3hjljy9F0A3Yr87Nlw8PWypde7Gd4LoEbhZrlRCD2LkwcY52PGR3CHy0JcrvXugnnjVwqRKfOriaoxvNQkQhfhLclFCjC3xl/wy7W04ymbQ+U2AvO9darJr1eDw8samf69YMsc3Gry4KO/j+cdVWH3QojRHs678o2FUUhVgsxuaBND98qp+emGmtDpDTTVfK17oSdETHcN3ZS/2s6kxZfdhrfCrdo8Kt8/YOcdGeXhyaSiQFn7urlYFEnj2rnPzo5AYUdAuD2nFI23COezeN8Ni2uLWHUSTTjfOkZh+HNocwRrlfwcnoum5dq+LWRWJ+s3mDrlieLQMptg9maR3J0TKQYihV+jvi0SSaykwHpgUhF/PKHdS4DdzaGG4VxZCiYLbU80Dch/l8nld2jPD1R8zCg/ctC/D+FeVW4UfPYJRL7+umO5rlkAYPVx5TY6n6RaHLriaeRQGB+K5ORXT4Zvp5T5fnnChmLdR3LWRZZv78+dZz8p0Ws4nxCWIWbM7cGBoaor29/f/t87qjWT56RyeKBP96b4NlG9mZkPn4bduQJfjj6XXUjPYNn2zjv6EvzZce6DZtJM+cQ5VXmXSRsCfq7TYxE0Vxjxg7qH16e5RvPdyJU5E4aw8/7cM5WgazdJUgNsEEL/PLNXRJ5oW2OAam+vfbJzTgVfJc/VQ3D7XEC5T0pUIAO3tyPJvNksnmuPq5CE9sNRPSigTn7hng5jdG0A24YEWIi5b5rPkRwMJu82InsQALuNoVHPYNwV9eHuQ/60cocyn88ey5eGQT1P7txS6uWz1kXj/g2rPrufqZftb2pNmvzsVLnSkCToVPHFTJSCJDPCfRH00zlM4zktIZTusMpfITqncmC1WGvD7W//Gas5pYXOnm6sfbuWdTlL1rnHRGc/TF8xw614dXNXiwJc7xC7x8/uCwVS0n7jux2BmGwc+e7ODeTTGOnu/ji4eEkCSJSCLHv14f4d6NIwXjECRqc4WDX57RhIpeoGgRYEv0nhFKmOJEoBiHJEl0DyW4d3OMO9cNMjKqWvc6ZE5bWs5J812WOs1+fBEC7NivsaimFEnqFzuSXPvKIO2jCqQ5AY0P7VvOAfUuq8rXflz7d+2NAZ1fPt1N5+j9v3eNi88fWkNjuanCF/dQ8f23syjVw3sqQHAitbj9frf3wSr+uyB6d0eUshmbSjzTGucHT/UDcOeFDe/YJPF0o6ysjPr6+nekwmemY6qZfv4zPd6q9jww9Qp5u/1wMeFpP0Ymp/O7VREe3Rq3EruKBKctLeOSFX6coyqUUuuVnQg1kNgeNXh26xCvdCXZ1F/oquNUJPaqcbFPjYt969zMCZjkjUj2ud1uIokcr7UP0zKs83pXjE0DGUsJbY9an8oe1W4WVmgsCTt4ZkeSm18fpsan8tf3zselKVN2VrHjXIErhc2lPekrYjiV5+pn+3ml0yRPjp3v5XOH1uBQJHpGkgxnJIYyEu2RGAPxPINpg95YhoFEnv5EbsrtegJO05495FGo8jsod4IiS1z36hAG8NUjwvzgyX4k4Ib3zqG6zMeWgTS/eaaLtT3m2CbqBQ5mwcH8CgfzyjQWVDiYX+6gYbQfuNvtxjAMYokUD29Lcv0r/QyNYq4an8rHD6zmsCYvqq1gVUSp+1PgCsAic0UCWaik7IW99qIEwOrFKYpYt/ZGebw1xX0bBxmwNaSs8akMJHIlk/4ycFCjj+MXBTmo0YdLUwpsIoXVplDAKYoyDmfZSTO7I5couLT30bTjNDuRKZTeiqJY3yn7ce3fKbvdqjiOnVgHCqz4p4INRb/Pe97o4+pn+lla6eSnJ9VOqSd9qWtb3D+0VL9MUVy7O0nMN3OslzuTfPPRXhqDGr87rW63jOedEu/UPuOzmGp2DmZy6LrOunXr3rLjTxVXirW61PN3Z0klgSuKnYgAPndPJ1sHs1S4FW44b26BbTUw6dpUPJZrXhring3DVLgVfnf6HKqChcV3wtGlVM9he7GaHX8I/jSVSvH8jgQ/ebqf9CjH9c2jqyh3KyXHZHd0ES3m7CKb4rkTYyzmjEbyKj9+vIvVXeZ57l/v5stHz6HCo1rFncXzW8y7eL1edF23uDfBK01k8y0cgUSS3OfzkUgmebxlhD+9HGEwOYpTVImPrCzn1KUVeFzOCUUVYnyiCNDOb+uKkx890ckz2wvf++F9y1nXk+T5jsL7qtyl8KUjqtm72sENqwf511pTdHXAHC+XHxbGrUJ3Subzd2wnnjU4bK6PKw4L4XSYWMxeWCha4iQyOZ5pS3LnG5GCXuTVPpWTF/l5zx5hylwmDyX4KIFfI4kcWyMptkYybO6Ls20wS9vQxL3Aa/0q88odzK9w0hRUaSp3UOVV8Hq9BfdqcWGGHR/aiyhyuVxBYYUkSXSMZPjifd1EMzqHNXq44vAw6ui9p2kaVz3SybNtCWr9Gj8/uYYyz5hLgD1ZPRW+UrgX2O/pqSa8Sz17hPBtIjGRcKAQxSu7I5ktxFPTKfycyaFpGgsWLLDaYb2TYjYxPkHMgs2ZG2+lNdFEFZgfu6ODrmiOK4+s5MAGj7UoCAX4exYH+OT+5dbrJ1tcrnykh1e7UpzQ7OOrxzZaqudSYxHESSaTmdKD377YeL1e630ej4dYPM6l9/WwNZLmvGUBPrCiHI/Hw3DStGbc2JswbdgHMnRNYMMOJll60uIgw6k8j2+NctpiP5/Yf+K+5cVz6vP5iMViRHWNL93dSsfI2Hl9Yv9yAh4XP3miC4BPHVTJucvD43ob5vP5ksoVUQUo/g5YVt+pVIps3uCy+7vZNpjhwDkerjquFofDwQdu3GwlV/escnLVMVVccFM7Wd3g92c2cNUj3XRFs1y0PMgFy8ss6x2htBGfdd/mOL99oZ9lVU7OWxYkkZeJJLJc9+oAqdEprfQoqIrMYDJXkkB2qRKfPriKSo/M1x7sQjfgi4eE+OXzA+R0OGWhj3s3x3BrEjec24DX5bDuDVE9ms/nyeoG593QQiyj8+NTGthvjs9SCz24eZgfP9HNggoH1V6FZ3fYwIsqcVxzgBObvTSVabhcrgLryuLrWawqsff2EcqZkUSKR7fGuWP9iNUPU5Hg8LlezlzqpzlkVizaezGK45UCYHZr1Zxu8Fhrmr+/3G8ppfaudfOJA6to9DFuMyHITcMwyOR0bnp9iH+/NkhWN4sUzlse4uJ9wzgVySIGRaJ/MuJeFHzszH5zogrt4o2iJEk4R63yxYZJVAbbz9/+7NiVCvLJYroE5u9XRbh7YxS3KnHz+Y1vehzvxHin9hqf6Zhqpp//TA7DMNi4ceOktpJvJqb6PLWvdcXEQSmiI5HR+flz/Ty/I2klUx2KxIUrwpy92FWyMEkoZh0OB4lEomA9i6bzrO5O8XJnklc6U0SK7MgrvQoHNgZYXqWxvNpJOOApKF4Ds8dgVwLW9STZ0J9mXU/CUorYQ5PNBHBOhyPmevj0YXWEPapFrEwWxc5OdhtCkbQXKiBBqiJJ3LgmwvVrhtANaCxz8OXDQjSVOy27SvFagWGy2Sy6YZDISQxmJDoj8dHe5zmGMxLd0TQDcbMf+q64C8mSaWGfzhkTvk+RYH6Fg31qXSyp9tHol6jymv3AxX1SjEUEMQXwzNZBvvVYX0GifUHIyacOqmJx+dh9UYqgKsYRXq/X+ix7Etk+/7lcziJNxfHs2EngmGgszuqeNL94ts8iaYujVHGAR5M5tMnPoXOc7Nfgw+NyjvtOlcKKxX0zRRGhKKIoPu9sNmsRwHZMJ7CjfU9lnwuRcC+VgBAEpJinTCaDz+cjl8uhquqEpLS4r8W1FvjqjCV+PrZfhVWwUExYF59TMV63E7Jib2R3CCi2nt9dbcveDD69ff0If355kEMbPXz1iHcevnozIcsy8+bNs1R775SYxVSzczCTIx6Ps23btrfk2PZ+1JNFcV/x4rVpqoVZIiFpxwr2Qvg/ntnA/LCnoChsshhXhGbIfPK2bbSPZDlojodvHFNd0D7HroyWZdkSuzidTl5oHeHXz/dzYKOfpSHFVO6GvWRHk5RiXV7Xk+Tbj/cyktap9qlcdXQVc2wtOUqt22LtF8WEdoFSsehC8DF2UYduGPzr5R6uWz1EVjcocyl89sAKDmzwWOdknwdN00quv8JG2676t3++KHYrTt5rmmYVKkRjcX6/apB7N42JYur8KhftXcbRCwI4R9v+2UOMyW6x7fF4CkQxt66N8IcXegucKC87vIbrXu6lPzGG8eZXOPjVKWP96F/syvKjx7tI5w3mBFS+dWwt88JeXutKcMV9O8jmDd6zJMilh9Wg67r1+YKTBCyL9HQ6TXdK5s7XB3hka6xARb5/vZt969z43U62D2XY1Btn22BmpyrweeUO5pVrzCt3MrdMLVDY29XggOWyVCrZW3yvi2ss8JdwOY2l83zpwR7ah7MsCjn42XsaUdAt3PnA1iS/frYXVYafnlzH0iqP1W/b7jwgYqLvob1lZKmw4+RSmLK4dZD9HEVLAIEjxb0CFDyrdlfB5e7EpzMtPB4PTU1N7zgB02xifIKYBZszN1paWnartZs9BAAqTmpf8+IA92yKceoiP589pMoiI9b2pPjqQz1oisRfz6y3KhAne+iv70tx+QM9KBJce24TVV7F6jljDzvo0TTNUhFNpf+43VpSkiRLifRCR4pvPNiOW5O5/n3zcZIdR8bm83mGEhm2DKTYNqzTMpBhQ1+Crmhp0tipSKysc9MccrCgwkFzhYOga6wS075wiXnpTEh8+b4dDCbzVHoU9qp28ug2c74u2acMSVa49uUBJOArR1ZzaIPLqlwU55LJZKyKy3Q6bRGCgkwSVXmi/5D4b33nMJ+/t5OcDpceWkVzyMVn7myzyLhP7l9BfUDlykd6CXsUbnjfPJ5qTfDdRztxqxJ/PquBsM9hWR7Z5++xbTGufmaAfes9fPtok7zZ0JfiSw/0FMzXH89qpMqrkEOmYyTPjx7vYNtg4T3nUSXSOYM8JnG8zxw/v3ymBwkoG+1JfuWx9Ry9IGCdtyCEVVXl0U0Rvvt4D2Gvyr8uaEZVZIvUu+n1Ya5bPcSx871oqsL9m0bQZFPxNGAjwxeHHZy+Z4gjmnw4ZLP3kSBJxX+iB5O4z0QPJFFpW9C3xzBY1ZHkro1xq4oWYK9qJ2cuDXDkwhCpZLIgCVDqu2TvDSnOPSdr3PBKH7e9MUR2FKEf2xzgor381AVNmy3Rs0pU94rvXU9c55oX+nmp07yOVV6Vzx5awyFzx/oVQemCF3sV5GQhPltUuhYTkIKInchisxQYLY7dBTane5wrHuhmXV+a+oDKH06vf9PjeKdGQ0MDweDELhpvx5jpmGqmn/9Mjkwmw6ZNm96SY0+1DUeppF6ppFYpInQgkePqZ/p5zWZX7dFkPrAiyHsWj93LYo2298+z92q2h2EYtA5nWd2V5qWOBK/3pgqUFLJk9oNeUe3k0PnlNIecqIpJwsbjcQsLyLLMSDJLa0xiTccImwaybOhLESvhrhP2KCwOO9mrzsf8gMSCCgfOEr0ri+dB9IoUhWQCIxe/zu12s2r7ID9+up9IMo9Tkfj8odWctKTcIqhEqxhRwClC9Lq0Jz5FMl7TNAZGEvQn8ozkFXqiWbYOpNk6kKQvkWMwlSc7Te4m5FbYf45p01jlcxDUdEIelQqvhsvpLLhnRCLaMAyufamfG1YPcNR8P/V+hf+sGyaRNbjquFpW1phEqcBo9qS2wCEiBNFqt0m3K6lEwaC92M/er3siIjeaV/jwzdtI5gzK3UrJnvAOGUqZMAWcMkfOD3DoHCd7VDmRpbGeoaXuZWGNasdTxa9VVdVSxAu8au9JKfYwAvcLHFl8XuKeK3Y1EPMijgFYKqhi7FicEBdx2X1dbBrIcPlhYY5s8lqfJwpTRb9S+z1vv2+LXccmKhAoNX/Ttc3cXcf51fMDPLglxgV7Bblo77I3PZZ3WqiqyoIFC6y9wTshZjHV7BzM5Ojv76e7u/stObZYr3a2Ty9O1hXzCEJIMpnbnJ1vKeYGzvlXG+m8wQH1br5xdJWFH4qL9ksdU3AdIlG4NZLhi/d3k9UNPndIFWcuG2shIdasYvc/p9PJ1+7bwarOIuyswLxyJ/PKNeaXm1bX80MuuoaSfOvRXrpiOfwOmW8cXcnSSlfBMcW8iAJSwMKGxa8rdl8RDo7i9yLeaB/k6mcHLJ7vhAU+PrpfORV+j6XGtrvIiHVS8Fb2/vBiPgSWlyTJUooXuwHZ2w2Jws/7Ngzyy+cGCooPm8o0PrCijMPml5XESkJZKjBgcQJ/e1Tiqod20JcovOYKYP9N0Klw+yWLLXfPHXG48oF2+uLm9bjyuHpW1nt5YusI33mkEwMsQZK4V8QeQ4RddDKc1tkymOPBjYO81pNmODXxPShU4M1hNwtCTuZ4JeaHnITdspV4n0h5bXcwLb5n7CGwtB13CWclwR1mMhlUh5PL72nlte4UlR6Fn51cS33Ibx27LWrwubvayOnwsZXlnLE0YO0/hDuTvXigFIe3s4S4PQTeF44IpRzMShWIwNS4yqm8Ziqxu44zUyMYDDJnzpx3lMvlbGJ8gpgFmzMz8vk869evf0s/o9SC8vyOBN99oo9av8p15823FgnDMPjSA91s7M9w/vIyLl4enPQ4Ir7+cA+ru1O8Z0kZn9wvaCVtxaJmt/yDMXu+XC5nETUCFNkVy6I6UigCxDjEoqkoCp+4bTtbBlJcsCLEJfuUFwAcr9dr2pzbFldROZbWZV7vSfH753ss1e9EUelVaK5wsLTay4IKB00BmaDLtI1/fmuE7z7RSyJrMLdM43vH11Fb5ubal/q4/tUBAM5fFiCly9y+bghVhu8cV8tB88qthCZQsBALpUxx5ZNdwSvmRlEU/vlyN39+eRCXKnHoXD+PtJgVlLIEfz97DrevH+HWdSMcN9/LFUfVoSgKn7xtK5sHMpy2tIwvHllPPB63yCsBzESvpKWVTn59RhPpdJov3NvJpoEMPodMY1BlXV+GOQGVBSEXm/rTE1rZF8dHVoZoGUzz+NYYblUimTPYr87Nj06daymjBAHmcDi48sEOXmhPcMHeFVy0l2nDJzZTv3i6izvXDbG82slrPWlkCb53UgP71Xt4YfsQ92+K8tyOhFUB6tEkjm0OcMJ8D3vWl1mVgfaNz1Qrj0WCeG37EHdtivP41qj1OXOCDs5aGuDIJrO6027zYidu7X1FodBCvy+e468v9/PY1tG+jjKcu1cF568I4SBvVVUK9wFBYqZSKZ5vT/LHlyL0jfa9PHiuj4/sE6DGp1nkuz2pMJWEuD3sFZhio1K8ebT3cd/V2F0E5nQT4x+4dQeRpM5Bc9x8/aiqNz2Od3JUVFRQWVn5jiEyZzqmmunnP5NjcHCQjo6Ot/QzJrO2E4qM4i1cMalZ3BevODpGMvz8uUE29I29J+iU+cT+FRzR5C2pFgKsVixivRXrmn2tiqUyrOvL8uy2IV7tSloOOyICToWVc7ysrHOzT42TsG+MIBTKH+v8JImuaI5NA1n+8lL/OGW6CEWC+eUOFlc6WRx2sCTspManWtaFIuyOQV6vl1gsVuCeU5wcjySy/PDxLl7uMI9x/AIfnz+8Do9DKSA8BV4RZJJIlBZcE83Flv4km/qTbO5L0hLJ0DaUJTtJ8/KFIScNQQ2nIpHTdYbTBpFknr54blIizx6qbCbNK30OKlwSYY9KpU8j5JYJeRR+8/wA24ayfPmoWk5cVMZwMsf96/s5e6+QpYzO5/OWpbhQH4OJre0Wnvb2MG6320q+FjvxgHkvieI/oV4RyWb7/eV2u7nttX5++0I/LgWuOKKaF3fEeXRbjIxtChQJCx9We1US2TzRzNjchj0KRzT5OGaBn7kB2SLm7ZaOolhUuEuJRLe9N6e4T+yFn3bXIvtewt5LVJDidlvKUu10BN4TNqfFNvQwcUIcIJs3eO+/TWL0z2eMte6C8bjSXigsYqIes1OJ3VVw+WYU45c/0M36vjRXHBbmiNGigJkWqqpSWVlJRUXFO4LInMVUs3Mwk2P79u0TuoHsjtjZfn+i53YpZXQmk5lUdFPskCJ+/vHTfTy5PYEmw63nN6CqqoWThCOKEEjY+RKxJtsTby6Xi9veGOJ3z/XgUCR+d2YTTeWOguI9sX7Y8cnj22Lcsi7K9sHJuQ9Zgjq/xpyAypZIhv5EHk2Gyw+r5Ij5gYJCAztet49VqJXt/cYFPyvUy6IAVdi+i/PO5g1uXBfnpjVmUrouoHH54dWsmBPAMAzrs+2JbsEvisI3gZ2KVeVCsSzGIf5fzJkQCwlM++BGM1EPJpYURa9Lwk4+tDLEnpWFSvpiPCTWH7sDTudwms/cvs3C8xLww5MbqAuovP/fY84JFW6F69/baAm+OgaifP+pftb3ppAlM/F72pIAD21L8ctnTFHRZw8KcWKzz1LOZ3I6LX0xtvQn2RE12NKfmFQFbg8JWFbt5PQlfg6o96DI49dSgfuFA5XoAS6upb3Hu/hXcPLietidNEWC3K68F5gwl8vxu1VD3LdpBLcm8bNT5tAcdltFuEPxNJ++o42uWI5D5vr46mFj67/Ae+L6irHb3Rbs99KuhJ1zFXsp+zPC4XAUfCd3NabannKymFWMv/nweDxUV1fj9b4zcPVsYnyCmAWbMzP+P/qLlwKTiYzOBTfvIG8UkhKKorCqK8M3HmzHq8n87ew5uDVzwZpMKbRl2ODSu9pQZfjjGfVUedWCxUwkqPP5vFV1aAdNQiUwUY84u12zPYGnaRovdqS48sF23KrEtec0EnSZ5I6wCbITgyKJKECRx+MhGotz7atD3L7eTCY7FThvWZDWoSxbIhk6J0iaV3oUKjwqmwfS6AYsrXTxneNqcCnmY0vTNP69doi/vmRaM713rwq6RtI83RrHo8n86MQa9qwLlgT69qoxYbVebH9k73doAJff08arnQlkCatP5/JqJ98/voYv3NfN5oE0XzwkxIlLKshkMrzRm+bLD3YjS3DtexfQUGYCI8eo/ZCmabzUkeBrD3SwoNzBL06tY9Ngji/eY96vZS6ZkbTOJHypNZ9p2zpvH1+dXyWdMyxVtyzBTRctxEXGstt2u910RqJ88LZ28jpc+975VDoLgcO3H+vlxY6x++WT+1dw7t6Vlp2oJEn0jqR4bHuSezcO022z1l9a5eKEBV4On+uhIuDbZVsuoEAR3R/PcV9Lkrs3DFn2RwGXwulLyzip2UNduc8iW605sbkCwJhqxk4WvbZjkL++Osxr3eZ5BpwyFy0v48SFPgI+b0ExiEi05/N5sobMX1/o5Pb1I+R0YU0b4oxFHquXZ7ES6s2GAJ6iL+ybWcp3B1AsVhZONc68oZWcAR9cUcZ7l72zFNNvRUiSRCgUorKy0kocvF1jpmOqmX7+Mzneyv7iIibrqVZMcAqCy+7KYv/bRM5BIiG3vifOz57pZ4cteV3pUbji6Dr2DKnWegNjfSAF8WO3Mi9u+2Ff3wdSBi93JFnVHmNNd5pEUZPoeeUO9m/wsbxSZXmdD9kw1ySBVQUm29yX5DN37UA34JMHhkll8mzsT7O+L1WS5Aq6FBaFHOxV62N+UGJRyEllud/qtyjIWHsSU2ADoY5Np9NoDgf/Wh3hby/3mdbqQY2vHB6mscxhva/Y+q9jIMqOmMHWSIaNvXG2D+VoH86U7Anu1WQWhF00BRUWlDvI5A1++6LZAurHJ9WxR3hsDyGS07IskzckOoeSRFI6r3dGeWhrnPbhLHvXOElkzQR6JJGfsA95cVS4FSq9CiGPStijUBt0U+6EcpdEyKMwJ+Qnlx7rhSgstYECRYzoaSmKLycjtVwul3Ut7LabohhRYEwkiSse6OKNnhT717v5xlGVZA2Jx7cn+cMLvQU42Lr+Tpmz9gjQPpzl2R0JEtmxmaj3qxy7sIyD683e66LwQ/RfFOS8IDLtRcX2a5FOp5Fl2SL+xH+iX6lI+Au1vAgxJyJhbrcotxcg23uyC1cv4Yg1EXm5qT/NZfd3E3DK3HDu1BQeojequJbTjd3VomeqPXGLwzAMzr+5nXhG5zen1tJU7njTY3knh6ZpVFdXEwwG39YJ8llMNTsHMzXy+TwbNmx4U3v5ncVEbdmgdNLcvh4WJ8omKpxSFMXiuIqPlUgkGEzD+29uBeALh1Zx4kJ/QUGYKEQrthm3h71Xd17X+fqDHbzcmWJeuZPfndWEKhmWgEGsw0IMIsLtdrOtP86dG6I8sGnYalHjVCRCHpV4Js9wemI+oyGoceCoM09TUKXOr+Lzjil77YlwwdWK5KmYU8HdiiLXUkULHo+HF7ZF+Nmz/fTF88gSnLdXGRfsFUSVJQuDxeNxCyOL/tJiLKIgAAqdBouLF8TfhchKzF02azqF3rW2l1+MKscXhZ20DmaseVtZ7+XCvfwsDjut/YKdY4XCHvIbBnL86Mke+uKF/K8mS1x9agMLK1RO+8dWcjr8+ASzGEDMm8vlYiga55pVQzy0xeSVT2z28cn9K7hx7TD/fn0YCTh+YZBsLse2oSw7hjKU6kIkAfVBjaYyjeawhwafxLxyB+GAi8e3DHP/5ijr+sawTJVX4YRmH8cv8BHyjO+3bMe/QnQk8LoQWtkV9sX3pShyEIUnoshChCzL3PByD39+aQBZgiuPquKAOR7ruaFpGt99tJOnWhNU+VR+f2YTAZdiFYvYxTr2gk+h6tc0bdIWkNMJwVXquv6muMbdVXA5XVw5G4Xh8/morq5+27fsmU2MTxCzYHNmRltbGyMjIzt/4ZuIiQjMnz0Xwa3JXLhPJfVBM1ltGAaZbJaP3LKN9pEcHz+wivP3Nu1/BJATVovCYloQdJfdbdqmvGdJkM8fWl1QCRmPx60qL/F6YZljX2AFaSr6IgpSUwBQsXiL3nHC+uQL9/WwJZLm3D0DfPLg2oKkol1dLsCgfeERpONNb8S4blThvaDcwdePqqTSqxLP6LREMrRGdTb0xNkykJlQYV7pVWmucLC40k1TUKE55OCJ7XH+9NIgAKcuDtI+kmVNV4Jyt8KvT59LmVa4EE9kX6PrukWIiXmx9/5p6xvhE3d1ks4Zlo36pw+o4JhF5Zx7fQsGcN3Z9VQH3dbxv/fkAM+1xThwjpvvnDDHIrs0TSOS1LlnfYR/rB7EqUjIskQyOx6IFye+YaynYlNQZfuwOVc+TSZW4v321wP8z4GVnLei0rrO2WyWOzdG+eOqCItCDn5+Sl2B7Y2iKHzk1lbrmpy9rILPHFJdAKxFpaSiKKQzGV7rTnP76/08X6QiP2FRGcfNc9NUNlZdOhWQIhZe8TpZlskYMvdvHOI/64bpGU3EqzIcPd/HmUsC7FFfZlUsFifBS1mti2T345sGuPbVIdpHe9nPCah84qAaVlTKBaomQdqKDeOO4SzXrIrwWrf5LKgPaHzqwDB7Vzt2G6B7K2J3jW1XLYpiGZ3zb9oBwC9OrrH6xs8GNDc3F/R+ejvGTMdUM/38Z2rous769evfUgITJl4XBYFld7sR9ub5fN5SxtjxGWBZ6NmL/8R7VFVFVVWe3TrIb14YoDc+Bjgayxx85ahallaPVYcL7CAINFEo6fF4LNWASOCJRKfAUblcjkQqzeaBLKt7MrzYFmVLpDBZ7FIl9q51s1+9l/0b/IQcOcv1KJfL8bsXB7h3U4x55Q7+cPY8MmkTq/TF82zoT7OxP82G/jQtkUyBnTuYWKip3MniSifLarwsrXJT6wV5NJlZKiEoxp3JZNgwkOP7j3db1uqfOrCCo+d5Gc5rvNExzNbBDFsjWbYOZiZUtoc9KvPKNRZVumkMyCyt8VMfdFoYNJ/P8/D2NL942rRV3a/ezbeONh1VBPEsyOpsNmslU4W95qaeKIuq/db+IZZIEtdVOgfNnucjWZm+eJa+WJb+RJ724cyUlecA5W6FsFejwiVRE3BR5jCor/BS6dUIOgxqgi70TKoAt9mxkiAHdV23CnnF/SyKRoXKRjgTiP3R1oEkn7xtO1nd4PLDwhw9328RfD95qodHt5YuQNy31sVnDwqxeSDDk9vjvNiRJGNjSueXaxy9IMAxzUGC6vi5EPNu778qxiy+a6WsKEVSvbiXuL2wWZCf4vtY7C4kcKdInItjTIa57to4wh9WDbKyzsVVx1Tv7JLu9pgsCTPVmG6CPZLI8YHbOpAluPX8RjTl7ZsM/v8Kl8vFggULZhPjb/OYnYOZGcPDw+zYseO/9vmiuNKOK7PZbAHPKDCvwIzCLVKsX3YlarHzijhGMpnkQ7e10RPL0xDU+McFi6zjCgwjkroiSevz+ay1MJ1OW06GYK65GdnFh2/azFBK5/QlAS49or6ggEyEwHdi3RStFfuG4zywOcrdG6OWtbcmSxzU4GZZlZNkzixubImk6YiWxklORWJumcbCSg/NYRfzylQaAyo+l1ZSvCAK6QR3PJFzi1gD4xmd36+K8Ng2E98sDDn46tH1zA97iMViVpFesfunEOPYr4Gd37QnxoXluNfrtbCIaJcpEqsPbolx9VMmLj15kR8ZeGBL1MLZh8718YF9ymmu9BYkggVfaBgGQ6k8F/xzC5m8QV1A43+Pqac3luHbD5tW6BJw2RG1HNWg0ZeSmRces9EX+xhJkhiOxvnXG3FuXmsWkPocMhI60QmMALyaRFO5g4Vh0yZ/QYWTep+MU5WswgXBYYt5l2WZbZEUD2yJ8ejWuNXSSZbggDluTmr2s0+ty1KR+3w+gALnh4kU2KKY2ev1ks/nrXkWa7TY79gT5y91Zblq1DL+4/tVcPoSfwGn/dC2JL98phdFgp+/p5Fltd6C70Kx84OYU7vL1e4oanwrYrJi8V2JtzMf+06L6upqKisr/9vDmDRmE+MTxCzYnJmxbt26N70531lM9JCdSCHh8Xi4c7TyrtylcO05cwh4x0DJRMd+vSfFVx7qQZXh+vObqfJpBYtmqXHYe6mIhV9Y7QgFuX3BFCSUUHmI5PgLOxJ854k+XKrEPy9oxmEU9toT/RrtPfHsi7lQz7z/1jH1fplL5n+PrGJppbNA0WsYBteuHuG2N4YAM8GIodMZLa16CXsU/E6ZbYPmXB/e5GPHUJrtQ1nq/Cq/eE8D5R7NsjIELJAnFBICuAoyR9g7SZJELBazSOrL7u9mU/+oOkqCf18wn9d7U1z1cCdzyx386ay5ABYZ1hnN86GbW9AN+MQBYbI6bOxLsb43OSFpCqbS+4gmDxv6MqzpTlnnLSzRRaLbrg4HOGKejye3jQGyZVVOWgYzJG0qmZBb4eb3L7LsUHO5HJ+7p5MtA2k+d2g1J8xzFfTD6Y5muehfWzCAPauc/OL0eSiyaQ0l5s5+/wk7fU3TiOVk7tsQ4e71QwUW8HtUuzl1SRlHzQ/g1sb3BLWHLMuW1anYFNkJbN2Al3uy3Lx2kHU9Y8BzZb2HMxb72LfOvVO1kn1zkkwmyekGD2yJccOaIUZGq4b3qnbyyYOqmesfI5bsfa9EVeejLSNc81yPdX0PbfTw6UOqCahv7XNourG7qid3lQh9qjXOj54y3R7uvLBhXFuDmRqhUIja2tr/9jB2GjMdU83085+pEY1GaW1tfcs/p5SCZzLSQuAwu2JBKAGKeyMLp5fiECTiE1tH+OXT3QWKmYUVDr50WIiGMpf1nHc6nePUJQITiDVRFGNOZA3tdrvpHozxWm+Gl9rjvNKZYrAoSVvr18bU5NUucobBJ+7sJJrW+eT+Fbx3RVXJNUxSNTb1JljXm2RjX5pNkSzdJVrReDSJxWEXe1S7WVrpYmHIgVc1LLclkZBMpVJk8wZv9Kb408tDtA6Nqudt1pIFn4/Z7qWpTGVBhYOltX4Wht2UuRSr57goGAAK8PiV97fyTFvCwno/PbGGJZVOi0QTquREIjGunYr9eHb7b2CcYkOWZX77fB/3bIpx0sIAJyzwENNVOgbjjGRluodT9MVzDCTy9CdyTFB7OS78TpmwR6XCLVM1at9eV+7Br+Sp8jupCThwyoaFQQVRDBSQX0JtIgpvnU4n16+O8PeX+ylzKfzlnCbKvQ7rHnu+dYRvPNhR0ppeAg6Z6+OcvSpoDjl5YnOEp3ekeKk9XqAm2qPSyVHz/Ry7qJwyl2IVidp7j++MQLTvx+yuB6X6jhbv3cQ1E3s2u/W5+O6IeZsorn6mn8e2xf9rPbZ3B66cLhG6uivJ1x/ppd6v8ocz6t/UGN4tMX/+fOu58HaNWUw1OwczNTo6OhgcHHxLP2OiQqqJOEz7GmfvZ12Kq5zoWW13FgIzsX33pji/f9Hc+19/bj1lLnXc2mh3nbQ7AIqiMaFsFdzl6wM6X7nPLCz45tFVHNFcUeBmZD8n4ZInxELiXHK6wSu9eW5a3c+G/rH3La92csaSAPvVu8nkda5fG+eOdea18jtk0nm9oJ2LCAmoC6g0h1wsCLlo8MvML9eoCZo4W7SYEVHsbCgwM2AVzD2xLcrPn+wimtFxKBIf2reM8/c1+QLBn4oQ8y4KGYTNtxBFKYpCPB63ClhF60nBE7vdbmtuBIesKAq3renhNy+YyejzlldwwjwXN64d5tFtcXTDPO+j5nu5cK8gC6qDVmscMe9er5d/r+lna1+Cj+1XbnGAL3ck+dZjvRbfeewCP587pAqfS6N7OMG2SIa2qM7m3jjbh7K0TaACB3ApEqm8gUOR+PC+5Ry5sAKflLEwvXDLFPeVcAy1C9SEm6jgjdM5nae2Rblr/SBru8ewTZVP5dQlZZy0uIyAqlvvEdfMjoNK7cvsrl6TJW1bIhmueLCbdM7glEV+/mf/cmu/kEwm2TqY4Yv3d5PNG3xonzLet3doXDsfUQRt5+rF+RW7CLwdw46Fpxtv93N8p4TD4aC5ufltz93OJsYniFmwOfPCMAzeeOONt/xzBJkorBl1XS/54BU2JYlEgmze4GN3dNCfyPOZAys4aaG/5Hs8Ho+l6Ab42kM9vNaT4rSlQT6xsgwoBKwTKWFFhZ2dnCkGsqKXs73C027Bful93bREMpy7Z4BL9im33ifAtp2YFWoPYeHjdruJxROc8c82AOYGNVqHs6gyfP6QSk5YGDQJ1EyWXz8/wCOjqo9L9q3gnKU+U/luKLQO53ijK8r2YZ0NvXE6RnIlk+WaPGpRkzeo86tcdUwVC6qDlpWMYRgFVoQicVpMYNnnr2cozgdubbeAmEOR+Od5jfzt1SHu3jDMaYv9fGL/ChTNycbuEbaOGGzoTfJsa8yqMrSHLJk9g9qHs7g1iRMWBrlj3RBgJsbtFvOLQg42DYz2k7f1ULSHQzFBKrrO9WuGRudB4nen1fDQtjS3rI1YSfTmCo3PHBhiSbWX9pjOR2/ZhirDvy9sJjhqu5NOp0nl4dK72y0C+Pr3zafcoVu9c4RSzH6v2X8W86gbBq91p7hvc2ycivzoeT5OWuhj3gR2h+I+FRsiUbRh75EoSN+XWwe5Y/0Iz+5IWOc6r9zJ6Ut8HNXkHacccblcKIpibSjsyV2v18twMsONawa5dW3EIlqPXeDnEwfXUuk1e0gV903PZDKkDZm/v9zP7W8MohumAu7C5UHOW1GFKksTWtv+N2J3AM3pxDUvDnDPphhuVeLm8xv/3z//7Rgul4t58+a97W3UYRZTzfTzn6nx/9GeB7DIK2FlCKWT5S6XC1VVLYWCwGxiXS5O4Nn7HNt/JxKT8XjcwkN3bxzhutVDBfbTy6udfPnIGoIOCogloQAuXksEhhVtP+wqHpG4FWojcZyOuMTzrcOs7k7zek+yIOmsyLBHlRuPCi+0J/E5ZP5weh21Ff6CcyrGcGKuIokcazujrO9LsbE/zeaBDKnc+PWvPqCxKOyiwq0gSTCS1mnpT9E2PHE/8Magxl61XuaVO1hQ4WCOTyoo/BNYxq4gzmQyVjGmuLaSrHD+v7cTTescUO/mxY4k+9a6+NEp5jopFNJ2RY6wfRfYWxQn2MnhicjrT9zRQUc0x3dPbOCAepflOiUKSIXNp2EY5BQnnYNJeqNpRnIK3SNm4jyS1OmNmX04S81nqXCr0mifc4WwV6XSq1HuhLBXJeRWCHkUqoIea/yCbMzp8Ll7OmkbznLcfC+XH1lrJc4BhlM5vnR/D12jTkKazLiEfq1f44SFfk5eXI6MzhMtwzyxPc4bvWlrTyFLsE+dh8Mb3Rzc4MHrkK35F45epUK4JBT3BRdJAqDAEQzGbMxFUbHAoeL7KvaWdjV9sQ2q/f7/5J0dtI/k+ObRVexf//9vdbg7EuPTPcZdG0b4w0uDHNTg5utHVr2pMbwbIhwOU1NT898exk5jFlPNzsFMjf8Pd0vBQQquMp/PT9h3vFSfaKFoLtV+zeFwWKpTKGz3Jn5vtQJRFE6/bit5A05Y4OVzB4ctTGQvRixVUCZCFAgKLkVVVf70UoRbXx8k4JT587nz8av6OH7GnvwTnKXP57OSt6KIcF1Pkjs3jPB02xiXVOtTOWd5iCMaHLzcneXqp7rJ6bBXjZuP7R+iYyjF1kiGrYMZtg/lGEiULlwrcymjFuwKi6q8NAZkFlT6yGUzluuPmEPBxYnkqdPpZEf/CL95cYhV7SZPuk+tiy8eVkWZc0xpLFww7ddDKO0FbyXmQbTiVFUVXdct7Gh3IxKFeoI7vu21Pn77gukAesGKEBfu6aV9JMf1a4Z4pm20vaYEpywp4+J9w4TcYwWaAsek02mrKFJc88e3JfjJ073WXDlVCYcM0UxpTOl1yMwrdxByy6zuTjGc0nGpEpcfWcvNrw2woS9N2KPyq9MbCahjTj/24l6RJC9l/w/jnYAA2oYyPLAlxiPFKvJ6N6cvC7NfvQdVkQtsye1OB6JXePHnTZSwHUwZfOHeTvoTOfapdfGto6vwekxnT6/XSyyV5VO3t7JjOMMBczx8+/g6lNHvnhASCSwPWO5hgv8ELE5cFDEUt896O8TuUI3PWqm/+VAUhYaGBssh4e0cs4nxCWIWbM680HWddevWvenjCCA5VTWkUGPbQQmMT1L/65Ue/vzyIHV+lWtOq8Pv85bsGSfepygKr3bE+drDpmr8H++bj1/JW8RJ8eeJcYjKNwGqiqsRRcWY6FMj/ma38nO5XDzXGuPKhzpwqRJ/ObOeMrc6Ya8aYQ+YSqUsMJBIJLjw5h2MpHV+fkodt64b4entJpl71tIA5+8V4OrnBnlxRxxZgs8cGOKE5tIPXVHRl8jqdMQlNvenWNcT57WupNVPuzgq3AqLK90srnLT6IPmCgdVAZfVX1wADAECBSgVxONtr0f4zbM9OBTJsmA8fr6XNT0peuN5Dmr0MpTI0RJJT6iqWVrp5Mj5QeYFJRZUOEji4P03tuBSJfKGQdY2dLcmc9x8L+9Z7Ec34AdP9tI2PDWr6qBTttReDWUavz9jLiMZ+MC/txSM7Yh5fhySzsNb4xw218dVJ8yxNjAj0RjffXLAAt+aDA98dGlBoYYd6Nl7Ktl7HYFpkSUqTruHEjy5I81d6wYLepEvDjs4aaGfw+d6cKljZHIxwW0vvBAVrgL0idd0x7LctSHKgy1xy56+zCXznsV+Tl7oJ+hSxtlaij6XQu1vt/bsjeW4fu0Ij7aYfWUdisQ5y8o5a7EXzyhZareVF8Uxr3cMcc2LEdaP9iiaG9T4nwMqWNkYtIjmt0O8WbA5nT7llz/Qxfq+DA0BlWtOnzmqnlLKeo/HQ01NTUGRx9s9ZjqmmunnP1NjcHCQjo6ON32cyVxMSoUg7+zqGXGcXC5nYTZ7/zowCcTiAi6gIDkr1kFFUQrs0YX93z/XDHLzG8OWKkYCDmrw8OUja/G7NWv9BcYlonVdt3pE24sRBW4tTgyLRLlQuQxGE7zRl2F1T4YX2qJ0lWizUxfQuHhFiL2rHVQH3VYxJ2ApqyfC73ndoHU4y6udSV7rzbClPzVpb0kwyboFFU6WVnlwqHDPetNZxqlIXHpYNUc1eQrm2+12j2vrIkgnQVoJJb1hGLy2Y5BL7+vGq8n87sy5fPiWbeQNuPrkWpZWuiwSWoRQDwtiWWCiUkRbcaFEbzzHh/9j2k7f9v5mVD1rFUmI62JPAhf3CxTnIfYthmGgq07aB2KMZGUiSZ2+eJau4RSRlE5fLMtAUidaqiF4idBk03o+5FGoCTj57CHVuFVY0xHlige6MYDvHVfD3jXOApJf13V++XzEKrKVJSh3yQwkC6+tLJnuQictCnLIXD8jaZ3HWoZ5tGXEcocS49iv3s0xC4Ic1OhF0sffh0LhLebXbhMv9hXFKiI7GVmqSNHlchUkyu37QYFTRVGM+Ju9Tc0N584h6Pr/L7TbHVbq01X2/PaFAe7bHOO8ZQE+sKJ85294h4fAjMX3TigUIhwOW8UYb/eYxVSzczBTo7W1lWg0+qaOITDEVFuaSZJkWWvbE3gCm9p7DtttmEvZMkOhIt2OM+zPca/XbMnzhTu2sro7hUeTuO2i+ZY6VzgPOZ1Oa10rXlft/c01TbMwXiyR4osP9LA1kmZFjYsfnFQPo2uuGI/geYSwA7DwVzFm8ng8dAwmuGv9MPdtHiE6igs9msQpS8qYG5C55sUIiaxBQ1DjqqOrqPKN9YMeSuXZNpihdTjP5v4k24dy7BjOUKqu0qFINJU7aQ45aQ67aA67mV/ugNzYHIqe1ULMc9f6Yf64qp9M3sDvlPnCYTUc3VxmFS+I9VfgX4E57HNgVzbbC/XE3NoLbosLLO/eGOX3q0zl+PuWBbh47zIkSWLLQJp/rBni5c6UdW7vWeTn/BUhytwmzvd6vfRF02wZSLF1IMW2oSzbImlaB9MTqsDrAxrzyjQWV3tpKncwv9xB2DPmUBXLGnz30S5e7TSv30UrKnhy6wg7RnI0BDV+fcY8/E65oFhU2JxDodNpcfHERJHJGzzTFuf+zTHe6B3Di5UehVOXlnPMPA9zKryWeEzslYSFuQh7+8pxoTr5/J3baYlkaAxq/OaseWjGaPvIUQfN7z3SzmPb4oQ8Cr8+tY6acp+1VyxOBIsCCPFdE3sJXdetvAGMOVgVj/W/GbtD7f12tot/O0UpDC/LMrW1tQSDwbe9UlzEbGJ8gpgFmzMzNm3a9KYe6PaEkd1KZrIHs70izL4geb1eS5mqKAqxVJYP/6fj/9g76/A4zuv7fwaWQStmWbbMduw4zOxAw03apMyM3zLTr23apgwppdykkKQNMzrMMTOKWVrm+f0xuqPZ1cpsp610nydPLGl3eN73vPfecw6RdJ7PnVrF8vlVVmJLQIq9ICgA5vMP9rG6J8FlC0O8+6gya5/28yzVBSodoAKcRfpZukelkC0hgFPY6Nlslg/dtpPNg2muWBTkvcfVWJIskkwtlqKRIUaSOO/451Z2jqT59vI6Ftc4+duqUf62etQ8PodKPGMmFz93ahXHNk2UfROZbhmQi4v5iUSCJ3bG+P6TA2TzEHSpRFL5kqxykGK5m7nVHmYEFJY0hXCTthgfcg5er5f3/2s7mwbGui9h0m2C6XUzr8rFnEon8yqdrOlLcsu6CHUBB3+6qg3HmB/N/esH+M7j/QXfrfLqXLWkglNneHmxI8o9myOs6Zt8Er9gbpCTm92s7s/wSleMzYMTgbdThbNnB9A1jTvWj5TczsdOrOLCBeXWc/GDRzu4a1MEh6aQyRk0Bh388XUzSwKKYn8k6bTM5/MFSUFhe3u9XqKxWEkWuc+hcMZMPxfM8dNa7rQaOOS5lffDXogHChLCYL4DQ9Ek92+JcPuGCANj3lFOTWH57AAXz/XTVFaYMCo+bnvTh6ZpbB5M85vn+q37UeZSedPSEOfN9uPQNavbVwoKiqLgcDq5c+0gf3plxPLxPHOmjw+eWIdH3XtP7oMdiqJY0qB2lYj9if0Bq2+5uZ3hZJ6Tmz18foqwehRFYeHCheRyOQYHB+nvN9/9pqYmQqHQq3tw+xhTHVNN9fOfqpFIJNi6desBbcOOC0WlB5i0OalYFUi+L2O4PQEpzY725j57kTOdThdIQdsbziTs9iBynNl8nj+vinLb2mFrrlYVOLvNzydPa8ShKRbLx76d4qSMPQEkhXPx17OzNyRBV2wXtK13lJe6k7zUleCl7sQECcu2cifLGtwcVe9hQbULv9dk1AtOzBsGPdHsmGdkmu0jGbYNTe4H7tAU8nmjZLKu2qczr8pFc1Dnhc4Em4fM41ze5uP/Tm9CyWUsZo40qMp1gXHWhjCy5bxvfHmA65/v56QZfr5waiU/fXqQ+7dGWVbv5vsXtVrXU+5/scJIsYS3/boXJ7Qf2BrlJ08PsrDGww8uqLcK4KUaJ4ob6OQz9iYPaTKU4xOGfDKZtNhKXq+XWCpLXyTFSBoGYlk6h+MMxrMMxHMMxHMMxrOMJCcWVu94axs+t/k+/PK5QW5bN0KdX+fnF9UT8nsnvEOP74zx/ScGrPvXHNRpD5u4y97kClDm1jij1cvy2X5aQ046wxme6kjx8NYw7aPjzSYeXeGEZi+ntfpYVu9GH8Pzk9lZSZJa1lOSuBZG1mTvfbHNjzQr2xUDivfp9Xp5ausgX3qojzq/zvWXHd6mQ2lsked6X5p/imN/GzY/d38Pa/pSfPLkSs6c+Z/PaDnQKCsro6mpiVQqRXd3tzXWLVy48L8meQnTmAqmr8FUjd7eXms9uD8hDWv2/IemaRYeLBX24p+M19LUb2e0SpNkMa6QuQ2wSAHF+EHwoMxdkodc2T7CJ+41vaqvObeeI2rGFQP9fr9FIoJCT3OxErEXbeyF+p44fOi2XaRyBu88qpzXLgzi8/msorK97GHlaIoKf3KM9s8ls3ke3hbj9g1hOsbwg6rAEbVutg+nCafylLs1vnZWDW0VToscIsV4yY2msnnawzm2DafZOphix2iWbUPJArtDezQEHMyqGLPjqXSzqD6Ih/Hr2j6a5ppHuq3c5NltAT5yUg26kbUaCCSfLEVUe5Fcwj7Xip2mKA7ZGy/tRWSn08ntG8L8/KlegAm2LZtHDH73fD9rxiwOnZrCrHInDhXaw1lGkpM8lw4Fp6YwkswX5FrPn1vGR0+pw62rFjlGlHSEGJPO5vjlM33cutaUuj++yc3mwQxDiRwLq11ce2ELRjZtNSFKTr9YoUBsivaF9NEeznDvpggPb49ZTRSmF7mP89q8HNXgsbzId2elY4+8YfCdxwd5aleMMpfKDy6oo87vwO/3W+uG+7dE+MHjvagKXLO8lkU17t1uU85T8vLSFGP/jh3TSyPv3jbcHIqQeoRdlWJ/4mA0bE6VaGlpwe/3E41G6erqIpvNEggEmDFjxqt9aPsU04XxSWIabE7N6O7uZnBwcL++O1lXkb1gXBzFRWx791UikbAKxgJC/rYmzF9eGmRulZsfnFdTID8kydLiCXrdYI7P3NOBQ1P461Wz8KnZAlAsiVb75GHvsLSfgxTwJjvfYimZ5zrifOPRflyawg1vaCPkLpS1tqSSxuSQJPEjkkefva+bNX0pPn1yFafPNDtH79gY5jfPD5ue2cAXzqrnhIbSstoC8GSClo43+bccx7rBHF95oJNk1mBGmZkIyxumLGKlR2PTYJKO0UzJzs0Kj0ZbhZPWkIMyr5NYMsOWoQzPd05e+HPrCsvb/MytcjK30kVDQLcmcbfbzVA4yntv62IokeM9x9Xg0Q1uXTfKrpHCZ8jvVPnxRY3cuynCA5vDFnNJVeCoejejKYPNg6mC/d79zvmWB6ZhGESSGV7uiPBiZ5y7N0dLnqN1rl6NobGCsa7C+XMCvP3YOh7aMsIvn+lHAa5YXM7Na4ZZWu/hW2fXTGgasHtICcNeukzF10j8L4uT7xLDiRwPbo1y35boBBb5JYsqOXWGFzU/kZFWHC6Xy1J3EI94wzCIxOI8uTPOv9eH2TI0fs2PbfRw+YIgR9S6LCa6JC3F9qC4OcblcvHo5iF+/+IQnWPstaagg3ceFeK02RUTQJt0nGZVF796uov7NkcxMCWg3rI0xAVz/BZYPtRhl+U8mB2g+5PAvPSGneQMeOdRIV67sOygHct/crhcLubMmWP9LF3bsjj7b4qpjqmm+vlP1TAMg40bN+53kmCy+avYNscexYXx4nlU5i4pmEmiyD4u2/2sJTFgl7e0F92l2CmJFxgvzEUSKX7x7CCP7RiXmNRVuGhugA+cWGthAtnvZBY/pdSRZJ92mWjBF4lEosDzz+l0Eokl+OL9nazqTeHWlQkS3h6HSlu5gxqfAzAL4ttH0iWTkArQGNSZU+1hRtDEgLPKndRXBIjGYnSFs2yPGKzqjLBxIMWOkYn4UVWwflfl1fjMGQ0sqXFaDaTFnt/icykNCMLe+tSdO3i5O8kHjq/iwjk+eqIZ3ndbFzkDrj2vliUNgQlrELtSk7BABCvLvRf2schYAlz7RD+P7Yhz1eIy3nJkyNqeNC3YVQTs6wX7vZXPiIKQPfEqGExYKiLPLmwtwZH2wq9g2awBfeEUwymD/liWgXCCSxaUWc/EwEiUD97ZxUA8x+uXVPC+40t7zfdHs3zyvh6r+aHMpaKqMJzIoymwqMZF+2iGYVshfm6lk+Vtfs6eU4ZTydOdULl/wxArdsbpjY4Xe4MulZNavJze6uPY1nKSRcwcwHqeBTvLf7JecTqdBc2JkpiWe1TKp9LOSrev2/x+P79/ppM/vzLCaTO8fObU6gnX42CHMNftKmMHGgeSwBRlsp+8pp62itJryf+lqKmpoabGbC6VZgRhf/03xTSmmr4GUzVisRjbt2/fr+9KvrDUmn4y2WA7eUZyAjIni8qPbDebzVpzWLGCptjpiHKRvTAvTGzBdEL0AQoUJOdXufj++XUF37OTaiSHmMlkLHxcrLgkOZtcLscd64b4+bND6Cp8/7w6lrZUWPLQcs6iDim4Wgr9UniT/UywnNQ0Xu5OcfPqQV7uHv+9NNm5dYUvnFbNyW0VVjNgKalu+3YVVaVzNMW2oTTbx2TYtw2n6Y+VXmMEXSqzq0zf8pkhB40+hWe7M/x95SB5A2p8Ov93UiXHtZZPIEHB5NLYpRofRdFI1Ea9Xq9FShH8d9fmOL981mzqeO2CAEvrPewYybBjOM3WoRQdo1kmm8mbgg7aKt20BDVayx3MLHfSXOEjncvzmbvbWduXwu9UiaVNgtOMkIOvLW+i2jXObpYGBMFNmqZxyys9/PK5IXKGaXE0EM8SzxicNMPPN85tBiNvFcQFh0se0650ui+5Msn3jkRiPLUrzv1bY6yyeZFXezWWz/azvM3PjOog8XjcypOLClTxGvD3Lw3zr3VhHCp8e3ktC6rd1rPkcrnY2Bvhk/f0kMoZvPvYai6bN742lOYJe3OsMNZLqUsU1y8kdlfzOJQh60Q76epgbHPaX3zvYvbs2RaGFLU6acb+b4rpwvgkMQ02p2ZEIhF27ty5T99RFMUCCLt7RWQilYnTDtSkW1MmE7uvD4x31fcMR3nnvztJ5Qy+eXYNR9Z7CjwX7QkTAagej4eP3b6TNb0JXru4nA+fVGdJSkuiE8YTpiK1VwzMpBPIHvbPFHtVShfpR25vZ/NQmtcuDPLOo8pLSiYJoLKDLI/Hw9fu38XjO+N84PhqLpzjZdtQmq890sdQImclFQMulc+fXsuSmomDb7HEU6kJTrpbV3VF+cJ9HcQzBnUBnZ6xIuYHT6jhNbM9qE4PWwYSbOxPsKk/yZreOD2R0p7lxTG3ys3ZbQH++OIAiaxBnV/jt5c2lpRBFqWBf6wa4vrnBwr+5tbA3jTZGNCtYitApVfjwvnlLKrU+O2LwwVFXYA3HBHkXcfXW0lWWdxI4frvq0f468pRq+tSVynw65Sw/97+7/efUEMmk+V3Lw6xfE4ZHz+h3Nq+dP/awb8kfO3S/aXktEr9DGZ35MqeJPcWs8idKufMDnLBnACzKt0TAJr9PZFnA8aL71I4SKfTrO1L8e/1YZ7rSFj3enalk0vnBzhvQTW6Os5yEonL4n2pqkoml+euDaP8+aVBwmOyoEtq3bzzqBCzK13WZ+2FhUQiwcaBFL96YYTNYx2+bRVOPnhcBfOqXBNvzEGOfZXvPVQxmszypptNOeKfX1hP6yT+8v9rEQwGaWn53/BTn+qYaqqf/1SOjo4ORkZG9uk70iRmb1AsFZLskQRJsQylYFLBh8JIscsDShHTntyQoqgwVYstSoQlIXLfgNXQJklHwzCsRp5IKsc1j3TyvG0edWkKb15WxaVzxxtCi6XM7UVxmbdFBcjOeCqWjJZjLC6+DcSyvO/2LlI5gyuPqGAwmmRDf5q+WHZSSUZNgdaQg9mVLtoqnCyoD1DvyVMR9E9ITNmvk6Io1v3LGCo7wnlWdoyyYSDFhv5USYaz16FyZIOXBTUeFlS7mV3ppMzrsu6jYCbBS4lUhsv/upV0zuC6i+ppCZlz40+fGeT+LVGOrHPzzXNqLWxhT3DJusXuD14qMS4sqVQqxVtu6WAkmecHFzYzr9y8Z3Y7GGEJCbumFIaThkHAsqKx/NLHMLEwjOR5sCfr5N5KQlL2Y3/27QlzOSeHw8GzHXG+8kAXqgI/uaiJuVXukhgnn89zzeMDPN2esJ6BOVVuNvSbOOyoejdnzPTxdHuc5zoS1rPj0hROmeHj3DkBjmoKkM5kWNcb5/GdCR7fGWPYpjRQ5dM5pcXD6a0+Zlc4LZUwSezb/cUn87MUZpe8d+l0uqT6l13WVp4hece//nAPz7THeffR5Vy24NDPTYci2bi/PpCjyRxvurkDBbjp6uYCW6b/1fhvVBwqFdOYavoaTNUwDIP169fvcwGoOE9XKmRuAKy8pt3TWzCZNMBJ7k6wqH2+miyPU8wylyZGyX/JcQjuicfj/GllmJtWD6MAd79jLm6nbjFZgQIrx+I8jH1+kH3Ym+y++kAHT+yI0hh08OML6vA4xi1shF0sxR47a7Z4f9LUKIQmwdiKotAdV7hl9SAPbgkXKM8owHuOKefKJVVkMhnTA7pErlVYynZcKUxzRVEIp3Ks6wqzYzRrFsuHUuwYTpUkuzhUhbqAg8F4lnjGZFpfsqCM951Qg0vXCpoOd0disF8XiVLNCJrTxeaeCNuH02wfSfNsR6KkzZG1XYdClc/BUDxreXJXenXeuCTEeXODkB/HUbLeGIql+did7XRHsswIOQin8gwncrh1hY+dVMN58yssfCrPqZ2h/3JnlG8+0ks4lSPo0ohncmTzpsrmB48NWc++rDMER9sLyMXP2u5C3jFpanS5XGzoGuG+LREe3hYjbCM6HdPo5cL5ZRzb6MXldBTI3As+vm9zhJ89a0rVf+rkKs4YI5MJvs4aKh++o5320QxH1bv5+tm1FGeg7QQhqVdIraC4uVvub3EdQJpeD7cv96HIV077i+99/LcpDk0W04XxSWIabE7N2B+fcUko7ouEir2Ybd8GFAJHSezIJJ7JZPj180PcsTHC0jo3P7y41SrGFTN57NtaN2R20zk1hesvbaCpKmiBKZEHKvauE8AthePiBKB4H4qkpb2gZ5etXjWQ5wv3tuPSFH53eSPlHt1i8Iiv9GSdqz9a0cmdGyNcdUSIY1uCfPn+dhIZg9aQg0+dWsPPnu5n40AaVYH3H1fFBbO9ViKtWOql2CPafsySXNrQF+fLD/YSSeep8GgWY+SjJ9VS4dPZ2J9kbU+czYMpy4vaHnYGUHGE3CrRdN4qIr9laYjXLw4WFMeNsULvPVsTPLUjYiWQ/U6Vtx5dxeJaNx+8dVfBdhXg6AYPF8zxc0yjh6fb4/zsmSFimTwBl/ncRNPmlj58YjWXL64s8JiThY/T6SSeVbj6xs0ks4blOx50KYRTex76VQXObfNhAPdtiXHVESHed2I9gNX8YF+ICNiQZLd8TsJeJJauzt11IMbzGvduHOXujaMTWOSvmVvG2XNDeByataCzs5mKZdVl8WFnwrWPmF2/D22NkRpb1FT5dC5fVM7ZM1xUh/xWZ6UdbAvzy+l0EoknSefhlnVhblsfJjO2nXNmB3n3cTXUBpzWgsc+Jhgo3L8twe+f7yOWMVCA82b7eduyEAHXoWMO78kvaX9jXwHsI9ui/OCpQRTgtjc2/8eAL0ncF3tOyUIN2K003Z6iqqqKurq6g3a8r2ZMdUw11c9/Kse++ozb/Q33RVmjOEFhZ4bKz3YvcClk2lUoBEtKosftdltsA2FZyFwphXbBesKakISnJG1gHGsMxLJ8/6kB1vSOH5vPofDOo8o5b06g4BzsmNaebLUnHyXkWpXCq0PxLFuHM2wfNuXQV/UkiaRLJ5QdmoJThXjGKGh61FVYUO3m6AY3x88I0uQrbIqF8ebXUolhub52+6DeaJa1PTFW9aZ4ZOso8UmY6TNCDuZXu1lY62FRnY+moI5zbA59uSvGZ+/tosKj8afXjjdb9kazvPe2TnIGfPfccblEYW9JQ6LcO2mOiMViJRt8VVVlx3CaD97RiVtX+NvrmnHq4wXu4jnZ/hzKOsMulyrXzL6v4iR6sUSl2Df5/X5L4t9uDSDbl8R3sSKR4I7vPt7P4zvjtJU7+dUVs0glJ098PbIzxY+e6LFw/aIaN5sHU6RzBuUejc+cVsfsSjcPbYtw94aRAlWnOr/GGa0+jm7woGsKaRys6Y3zYnuUzYMp7EsIj0Oh0qMRdKmoikImb/pRZvIGmZz5XzZvkM2bPvd5w/x3wKXyr7fMKUiaAwXvjTTBFI8JgjHfcksHw4kc3zu3loU1h541fCgK46XswPYmVvcm+fwDva+KjPxkIe+UjBdSpJCxrVSjxL5EW1tbgYXFf2tMY6rpazCVY199xkvlCPcUUgyUvEQp+WRRHpKmNWFUG4ZhMa3FNk5yISLFLvkF8bGWtbR9ThcCx8BIlKv+2Y4BvHlZBW9aErKY5XI80kxqxwUwjo3tUuh2FngkleOjd/fQH8uyvM3Hx06sss7XTlAqNe4W43SRdrc3d9qvd1px8u9V/dy5MVygOtNW4eQTJ1Ywu8ZfwLKXRjl7sdGu6CRhl38X1n46m2dD9yidMYXNAwk2DyTYNlxaBQlMnHtErYeFNS4W1AVo8Oap9molSTxybsKaFxWCWF5j60CSbcNptg0m2TqUYtduvMDBbDw9fVbAVF+q9NAQMmX3c3mD+zeP8qcX++kby+vVB3TecUwNp7R4wMhbio+5XI7uaJ4P376TWDrPiU0eYhmDVb3mvTl/tp/3H1+FS1etorbkH+X6busd5f892seOkQzaWD7XwJR9f8exNVZ+GcatrOz3V3Jmu8udSf672OJIGk+cTifZPDy2bZR7NoVZ2T3+zFWNeZGf0eKi2qdba64XOyJ87p4Ocga8cUkZbzu6ukBK3O12851HOnlwa5RKr851lzRRHRyXggcsnGh/j+2KY5Krl4J+qdy6rInsTdSHKw6FF/j/CmNc1szS0CHNLJL7l8bo/WX5OxwO5s2bd5CP+tWJ6cL4JDENNqdm7I8fpJ2ZbQdNkigq1dFp9yaR/cJ4ocXe1SZMW5mgOobjvP3mneQNuO6yGcypdOFwOKzkj90nRvYRj8f5zP29rO9Pcen8AO87rqpAHhHGgZbd89z+e/m3fEe6GkUWUTo+i8GA2+3mg//ezqbBNJcvCPKeYystiXNhc9v9IaU7NZ/P88fne/nLK8MsqXWxrj9FNg9L671887xmlGySdM7gZ88M8sh2E7RfND/Eh0+qJZsebxQolQySpJlIttuPdX1/ks/f3U40k0dTITdJQ65bV5hX7WFelYsFtR7mVppA5dmOBF++vwNNgZxhJrxSWaNkwTzgVJlb5aQ15CSeybOqJ1nAAJ9T5WbzQBIVWFjrsbx3wPQBv2JxORcvqqTaqxKJJ7n+xSHu3mQ+BwurXSxv8/GTZ4YK9verSxooc48XU4uleX6yooPbNkSYX+UkksrTGclOKPi3VTip9qo825GclDF/YouPdxxbQ507h3usS1mSd8ISkgSPPLN2ECJJIGlyEMn9UtOQ/d0TFvkD2xI8uSNSwCI/c6aPC+YGaQ05CrwzJWEsz4K9qG1PcAP0DEe4Z1OUuzZFrMYJt65w3hzTh7wuMO5DLu+Lx+Phu4928cjWMN8+v5mFlRrd4TR/fmWYx3aMMZw0hSsWl3P5PB9ep1oArCUZNhjL8MdXRnhoq3mPgy6Vty8r55w2H+okC5cDiX1p9tmX2Few+fNnBrl3SxSvQ+GfV/3nMKj3pptU5LL2B1w3NjZSXl6+v4f3HxVTHVNN9fOfytHT08PAwMCePzgWdsxSPOftbky2s5XtxRORO7fLGcI4trOzg+z2GQ6Hw0qIymftuLJ47BNcVyzZXZwsdTgc7BhK8t0VvWwbHm+QKndrfOzkWo6pdxScCxQ2zdmbMiUcDgeartM5mmZzf4ItQym2DqbYMpgsYOkWR71f54yZPhbUB5hT5cavmH6C8XSeVb1JXulN82JnnO5IYSNXuVuzvMmX1bupKfNaxati9Shh7ouSkxTu7SygXN7gTy/289eXTSsnn0PF7VAZjE9MrnkdKgtq3Cys9bJrJMlj26KcMzvIJ0+uKrgmMm8urXPz3fMbrcSzNG1J84VdrlsYSNKIaMfzd21J8Mtn+ji2ycdXz6ia9JrKfRf1K8BiduVyORRFsZLSgJUMFyaUNErKukoScvJvaS6wM3XszKniBLs8g06nk0zOoDOS4+N3bCeegfPmBFlc7SCWyZPIGCQyeeJZg2Q2T9ZQiaUyjCZzbB3KWFhSVcAwxr0sNWW8KTZv+/3him8ur+ekmSHrHbHL2dvfn+LiscfjYddAhHf8uxNVgZuuasZ1GBjThyrZuD9y6ndvinDdc0Mc2+jhq2fWHPRj2p+YbJ1jDymA7A9DasGCBf91VjylYhpTTV+DqRybNm3ap0KGjLulGi4nK+RJcQ3GVViy2eyEda29AVAKjmKJIkVe8ayWAoyQJezzfalxz+fzWRLWH7uri63DGSo8Gn99XUvJY5B/C0HH5/NZakaSk5FjsV+/TSMGn7xzFwbw2VOrOHWGz8IVds9tkQuX8wMmkC3AnI9EXrv42nq9XjI5gwc2DvK7F4cKMOqRdS4uW1DGMU1efGOMbFVVC9Sj7JLxyWSy4BoJLpJrL5+XnGcun2cgYbC5P87WIVOSfW1P3LJiLA6/U2VmuYNZ5aZd0MwKJ81BE9f1pzTWd4fZFc6xZTDJzpHMpF7gfqdKW6WLlqDOzHIHrSEnL3QluHHVKADvPb6GS+aUbtjK5Azu3RzhH2vC1vZbQ07ecUwVR9XqVkFZ13VebI/wuXvNIvGbjqxAUeCGl4cwgLZKF589pYrG4HgO0OczmdWSY8yrDv7fg+0821G4vvngcRW8blmdpVhlGIal0gXjVp32dVJx2LGZPYScJkVLWa9pmkZXNMed64Z5aFu0gEV+dIOHSxZVUOHI89kHeomm85ze6uWzp9VOsEpY0Z7ie4/1oCrwrXNqOaalrCD3LeszuYZC8IDCBgC7epfdq724odW+9jxcjOv9sWh8Nbb5asTe3of9xeZ+v5/W1tb9OLL/vJgujE8S02BzasbAwADDw8P71HVUSk5E2CF2CUB7FPv1FHv7wfgkZGdxu1wudF3nWw918MDmUU6Z4eVLZ9ZbxWxJfsiEJdtPpVK81JXgKw/34dQUfndZI42VAQCLFWv3/pb9T9ZBJAt3t9ttFe0kiWZvFJCJfcXmQb72SN8Ya7yJmqDbYvzIeQl4lMK4qqrcvm6IHz/Ra+339JkBPntGHeSyBUyXf60L88eXRzCAxTUuPn9aNWVuzUrO2T0oC5jjupNdoxlWdYbZOJBi02CajtFMycSWApzc6ufYJi8LarzMCDnRNdVKIMui4JpHu3l0ewzfmM/N58+s59h6JzesCnPLmmEqPCrxjDHB39Ie1V6NI+q8JDNZnutMlJQz/+7yGhbXmc9IZzjDdx8fYNuwea9etyjIO4+t4a037ZjgO3TmTB+fPLkwqWl/dvtjWd59q8k0+s75TVz/fD9bxnzKHapZ7M8bUOnRGEzkaAg6uHBekEe3RdgymJ5w7fxOhSW1HpbUuTmmJUBzsJAtbJcmAiwZVGlekPssSediMCfNHLJ4s0uODsez3LnelBS1yzbNq3Jy8YJyTp8VwOvUredZ3kNJsEpncfE18ng8JDNZHt0e5aaVg+wYMc9HVcyGgNcvqWRxnddiOwH8+OkhHtwa4fIFQT5wYq2ViN4Zgeue7mFtn3leIY/Gm5aUcdGCClxOhyVVJsWFfD7Pi+2j/OKZQXaNmvtdUO3iA8dVMOsgS4zvTYJuf2Jfwdcn7+1m40CaljKd6y4+vKweebbsncISmUxmrxOTUgTZl+s5c+ZMa9H23x5THVNN9fOfytHe3k4sFttr9Y1Slhryb8Ezpfy2i+dVYcjYi0WCraSALVLUIpkuTZlSwJXjKGZBTDaGCxaVpKH9OIVtnk6nrWNa35/kR08N0mWbn+sCDj57ZiNH1ptMJfu8b6m5ZHNs7A6zM5Jn+1CaTf0Jtg+nSZTAVaoCjUEHc6s9zCp3Mq/WR/dwjB88OYBDVfjd62ZR46EAJxZHVyTDi10JXulJsbI7UYDfFGBOlYtldS6ObvRxRIMfTSn0ZpRzkPsiTI9YLIbf77fmhpc7Y1z75IAlAfm2ZSGayn2s7AyzoT/F5qE0qRLnGHKrHNPkY065g3lVTlrLnQzFc7z39k6yefjRRc3MCanWfRN/8mJmeynfSFH6+foj/TzfGec9x1Ry1ZFVu00YFTcvCD4TZpjIf6dSKZJ5lWjGZOn3j8aIZfJkDJ3RRIqMoRKOp8kYpid8IpsnmcmRyhqkswbpnOktns7myeQNcnnIGeP/N16lYvXuQsF8JnVVQVMVVMU8TmGJ28PnVKnx6jQEdUJeB7qq8GJHlI7w2PpOh19d3EB9mcdaiwDWmkQaX0X+VdZsskZ8bOso317Rz+xKFz++4PCo0xyqZOn+4NVfPT/EnRsjXLEwyDuOOjxNiJLEt9tH2GNf2Jz2Bt+9CV3XmT9//t4f7H9wTGOq6WswVSOZTNLZ2blPa0qZ4+3j5J7GEDvOs6u2FP9eCq+Sx5MCm5ALJBcoxWW7YpG9UFiq8dPuWfxcd4pvPNQDjNuqlWqelJBzFZwrv7MzYuXYdV3nt8/08PfVI/icKr+8tJm6gNPCK9KcJ415gnGkYUDwHIzjVCki7i6nbBgGf1oV4ebVwwW/by5zcNmCMk5v9RDwmAQou4S77FfuYSwWs+Z3wXJy/mKZYy/UC7NX1g5DGZ1vP9TOhoExUpSukM4ak/p9TxaqAg0BnZnlTmZVuJhRprOgPohfzVh5FPszd8uGOH94wfQcf9dR5Vy+cPJxzNCc3LSyn1vWhYmNqT7Nr3bz3hNqWVQ1bld694ZhfvyU2Yz8+TPr8ao5vv/kIKPJHB6HwqdOrefUVp+FUXO5nHU9wPRxv3F1hBteHm9oVhX4/GnVnNjsLWgCFq9xWZfZrRolJM8vz5n93st/8oyLxU2xlWoOhRVbR7l7Y5hXuuMFx5U3oK3cybXn1xEK+KzclNPppH00w4du20kya/C2oyp53UK/RUwCExMUq9DIGlTeEbH2kiZVsTqSvKldfUqaXoTYdyhUJ0vFocCV/02FcVlfC56048p8Pr/X5yG5932pg1VWVlJfX79vB/wfGtOF8UliGmxOzdi6dWtB0mpvpCVkApEJTyY2kXUsHlxKDd4CsOxyQrJvmWTtx9IRyfH+20xftOtf20KtV7GYPsUDoHzXMAw+dV8PGwfSXLYgwLuPrrAGUbsXoLBngT0OjDJpiv94MTtBiowwXty6YnE57zgyaHkwitSfyC0JYDIMg2+v6Lc8/i5bGOIdRwbR1PFB3z4kPd8R53tPDpDIGNT6db58RjXzagMFcvUDKYUNfQnW9yXY0Jdk82DSkrO2R13AQXNQZ8NAikgqj0M1k1blHo1rz61lZk3Q6iKVZKrH4yGeyXPlXzdbiUunpnDj61uoDPr4/N07eaY9xtuPDFHr1/n+kwMF0kKT+XlLOMb+Ll/5+SXNLKj1cf/GYX7yVJ8lf/65MxtYUq3zQk+Wrz7QYX3fLgt0zXkNHNXgtdhbAnYEzHz7oXYe3BrlpBYvHzuhkvfd3mn5YZ41y8fD20zw73eq/OaKWQQ10xcplc1x+Z82lUxOS5R7NI5q9HFkvZdlDV5CjtwElYJi5pmd5S/PqfiHTuYdD+PPZ94wWNOf4d7N0UIWuUPhzFl+LpofojmoTWgMKV6ECFAUtQMp4q8dyHHT6kFe7Bp/7+ZVObnqyGpObQ2Qz2V5fGecbz7cxYyQk99cbrKe5f1LJpM815Xi18/2WQX8lpCT959QwzENHosZYvcTyuYNbt8Q4cZVIySzBqoCF80L8OYlIbzOg8P62V95yj3FvoLNN93czmgyzyktXj53WvVBP57J4mAzmwS47u25z58/v2AR9d8cUx1TTfXzn6qRTqfZtGkTMK6CYreaKRXFBWhJZE0mzQilcaU0J0rCUpKawqKRZIjIqUmhXKTSBd9IAq64Ka3U2Oh2u61knTQ/CjYVqcdSyYvnO+L8/NkhBm3MmdZyF584oZwZNQG29CfY0BdjVzjPxr447aOZktKMTk1hZoWLOZVuZpRpzKly0xRQCXhcBY0Duq7zxfu7eLErYbFF93Ze0l1uXtw5zEtdSV7pSbF1qBAnex0KS+s8HD8jwHHNfmr9DisxLOsC+5rB3vigKArDiRxff2AXq3rMY7lwfoiPnlKPQ4VoLE5XHFZ1RtgwmOXhreGSx+jSFGZXmkpE24czLKpxc+359ZbspCRPJQRfGYZBFpX+0QRpNCLJLIPRBMm8xo+f7CWXh3PafPhcDqLJDBlDHS9U5/KksgaZPKYEeDZvyn8bpvx3Lm8mWaVY/Z8UmsJYkRo0RUHXFDTFxN0OTcGpKTg0hXAyR3d0/Bmt9esMJ3Kkcwa6CufM8nFMgxufS6Mq6MORN2VaH9sZ56FthR7jC2rcnD3Ty2kzfIT8blb3Jmn0KTyxM8qKnQlW9yQsvK8qJqbsiWQt+dWAS+WXlzQTco0z9O2J1+JxRnA1YH3mF090csu6MBfOL+MDx4QO4RU2Y3+KuXu73f1JUX3hwV5W9ST5vxMrObvNf1CPqVQI5j+YXpgy5u6NupPP52PmzJkHbd+vZkxjqulrMFWjv7+f3t5eK28oxc/dRSlGtZ1xXay4MZnqpcfjsXKUEqVYpfZ9ij2E5PncbreFfezj1mQ5B8n3qKrKxX8y7f6Ob/by7fNb9qoYJsVfKVDai/ZS3E4mk2TzBp9/sI/1fUkW13r41tnVBPw+6zpIDqrUOC7HXozF97Zg93xnkmtW9JHOmXZ5MpsFXCoXLSjnvJlu6kMey/ZGyCRSWJVjsysUSSFaGP6Sp7VbHIlSj9frJZZM8fdVI/xz1TCZvJlXcqiQ2kvhwAqPRluFk9kVTubV+GgKwMzqoLUfu2e1YBCHw8Efnu/lLy+b6pbvOaacNxxVZz1fcn6S304kEmRVJ39fOcita4etJtWldW7eemSIZS3lJBIJ/rwyzD9WDeFQFb5/YTN1AQffeLDDIqFcsiDEO5eV4feOP4uyRpJ4qjPNtY91W7Y3ugrXXjiDOWWF99a+ZisujAuuF0uUUjilWLFBSDClyHVut5utfRHu3hThzo3j+Uyx1bx8SRWLKxTcLifRZJpP3tvDjuE0S+rc/OCiVlLJcZlzOX55L+yWCPZGCnlfxDbWLp0u60y5p/JsFTdyHMqwK3EdzPhvkVLfH+LNnmJfzr2+vp7KysqDtu9XM6YL45PENNicepFKpWhvb58ALsU3UMLe4SXFKplEpAvLzi4sHljs3WUy0Uj3nrB1JIkm2wImAK0v3dfB07uinDvbz0dPMAek4slO5Haki/HFrgRffdhkbv/1qll41GyBn5lMKuIbvrtJRmR6pMtOfpZhopj9/sTWIb7yUC8uTeEPV7QQdBZ6Asr1y+fNZNoPVvRw/2ZTYifgVLnxdU0FHVClAPSukTT/79F+uqNZ3LrCZQuC6JrK+r4EmwbSJX0lAy6V+dUeZlc4mFvlYmGNh6qA2bHXG07xpYd66QhnLWn0+oDOzy5txU3GOgYp3N6+ZoCfPjNIwKUSSeU5dWaAr53TiKGoXPyHDSQyeer8eoEHNsDVSytQFbh346glzw3g0U2WTKmB16OD16FZieT51S6+enYDAd0EU2+5uZ2hRA6PrpDIGrh1hbNn+blrU4R6v87PL6ovkE20y03tGEnz4Tu7UYBPnVrD9x/vK3kMAafKH6+ajctImdKYuTznXb8BA3jLsgpuWzdiSf94dIV0zpiQzK4LODiixsmSOjdLat1UenXrWbA/8+IfFY1GLSC2u+dzssL2cCLHg1uj3L81ViCPurDGw0ULQpzRFsShGJYKghQK5GfpjBQvUUl0A2zsCXPb+ggPb49aTQ51AQevXVzBaa1+3vj3reQNuOGqWdQFxwsE8u6oupNb1wzwt1Xj121JnZsPnlhHk8+wCgxgLkQdDgddw3F++8IQT+wyx5lyt8a7jy7ntFZvwfuyNyENQdIRva+ylHsT+9PVeekNO8kZ8O6jyrlsN93EBzMOhV+RxGSA0951rygKCxYs2Od7+J8aUx1TTfXzn6oxODhIb2/vhLHU7XYX+DJLg6B93hHlHSlqS2KuuPlRxirBqnaJSJm7JMkiLHCRABRsKHNuqQ5/KbxII5j4RhdjZTnWTCaD3++3xjHZH+x5sf1kR5qfP9U7qQe4PQIujZnlDtrKncyr8dIcUGgKOgj4fQXS0ZKstXfS5/N52kdSvOvm7eQM+OqZNZzUGtyrglUxO38onuXlniQvdSV4uTtpzd0SjUEHRzd4OGFGkPkVGk5tnLlfjOvl+uUNuHl9lL+8NIgBtIQcvOfYSgJOzWRYp7Ks6klw+7oR/E6FI2rc9MWyDCVyhNP5khZACqBrCipgYFhy4HmjUBr81Q5hVKsKqKpZoNZVFU0Fh2oWqHUFXA4VhwpuXcXj1HGqBi4NvE4dv0tDJ4/PqeB1qHgdKhUBNx4lh0c3mzp7Yjk+fGc36ZzBp06p4ZzZASuZVyrEG3J1xwhfeLDX8oRvDur4XQrr+81n4qy2AO8/OkRlma9g/k6lMzzbHuXeTaM835GwsLBThZqAg47RDB86vpLXLqkmkUgQMxys2Bbh/k3DbB4sXOvoKrzv+FouXBAinx73GrXL1Mq7Lg0qpeJz9/ewpi/Fp0+v5/y5ZQUKYgcr5FiKrasOVth9Lfc13nJzB8PJHD88v465Va6Dfmz2kLH4UNgT2dmcpfYrRZzy8nIaG/8zvNQPNKYx1fQ1mKrR3t7O6Ohowe8Ew9nnHMF+wlaVeUAa/O15xuJGKntRW4qwYn8oTFmR7JZ9Sj7MrohZjHPkWCUPKt+bDBtKLkeKu998qIOHtoTRVfjX1c1WM9jumKlS+DMMgxteGaQ3ZjArpFHj02mp8lPhMnCpJrO8P2Hw3n9tJ5ExeNvRVbxugVkYl31IDkhyJXLuwrKU6118HfcUXq+Xl3cN841H+hhN5Qk4VVy6wkB8THVHgdNnBblojpelTWVW7tjepFBcIJNcdHGeOpPJ0BtO0pM0pdB3jubYPpxi10h60qbFxqCD2ZVu2ipdVPocJJMphlMG24czbB1K0RMpjZ19DlOKfWa5kwV1AWaWO6j3gsflsEhbuq7zp5cG+duqEQDed0w5F88vHM/s9krCiB5O5PjnmlHu2Ryxcm4ntwZ427IK6rwG31kxwFPtcYIulR9f2ESlG/6+LsbfXjEti+ZUuvjimXU0BMdtTIuf+1Udo3zjkR6GEmOe77rC98+ro3VMoVGIYRLynNobgYvXDPaQvLf97/bPS95PzlnWM997rJv7No3i1BRaQw422TBipUfjgvkhOkfTPLItQsit8otLmih3j6uBFcud+3w+63kSnCJrRntDjaxTs9nsBCxjz+/ZManUTA4We1yeacE1B7PRUEJyvIeL8b6/cSjl6u2KxvZQFMXCs9lsltbWVvz+Q99YejhiujA+SUyDzakXhmHQ1dVFKpXapw6h4gJKqQlQOvak+0r+Xsp/ttgDUti8In2YyWRQVZUNAyk+evsuHKrC9Zc1UOnVrWMZzeoE9SxeW6eayCF+8t4eNg2mee2CIB8+tdHqKrT7fosXJWBNfNKlKOBB/ibynsIu0nXdSq5IAVEkfj5y+07W9yUt1nixx7rX62VwNMo1K/p5qTtpScS4dYVb3jDDAufFsvOpbJ6tQ2k2DaZZ25vkxe7kBElCMJNJbRVO5la6mFtl/r8x6LAaGsQHW+SLM5kMvaOmBP324bTVxTm3ysU1y+soD3gtsOl2u/m/O3aysjtOwKkSSef50lkNzAwq/HXVKI9sGwdObl3hzJk+tg2l2ViU8Aq5Vc5p83PRgnKq3KA53azvDvOVB3uIZnY/BJe5NWaVO3Co8FyneW2W1bl5uSdJ0KVy/aWNvP+OLoYSOV6/OMhbjxyXDixmS339kT6e70zgHivOL6xxsa5v/Dn3ORRiGYMj671ce2ELqWSCSE7nDX/biq7C3e+YSyKT5x+v9HPr+gjxsZbLGSEHbRUm82XjQGpCobwpqHNUo59F1TpL67zUhHzWok2S+SILNRlgmYz5VdARrSis7c9y18YRntwRncAiP3+2n4WNIau4LklRoKBDVECJfdvDiRz3bo1xx/pRK0nudSh4HCqD8RwfPK6CK4+stSTj7bKiADnVyZ9e6OX2DWGyeTNRvHxOkHceU41fKy1l+1JXgl89P2RJ0i6pc/OBYytoLhtv6tlTHEqAVarZYW9iJJnlzTd3AvDLi+tpLju4cvGl4lCweopD5ItlEW1fYIRCIfx+P6FQ6JDt/3DHVMdUU/38p2rkcjl27NgxwXt7dyENMqUsR+whc5C9qU0+W1yEks/aJa1FThJMrCMJEZlb5Xe5XM4aryTZU8w4th+jYGDxLhcmiyR4JEkrxyPHJEmveDzO3VsS/Pa5PoupAVDmUjlrlo8jmwLMrfbiV9ITCvBy7eyF+2J5Tvtx/ubZfm5ZN0pDQOcXFzXg0PbciJTP58lrTgYjSWKpHJFMnlg6TzxjEEvn6AhnaA/n6AxnGEnkCgrOCuDSTQayrpoF6ZwB2bxBfoxZ/Wp5VU8WckUMQMU8fs0qWJvsaqeNWe1x6uiKgceh4tTAo6t4dBP/BL1OPBqUeZ14HQplbh2vQ8WtZPG4TKwiyT95hu3+9rIGMgyjgKkiIXiqFM6w33dpdv7z89388eUR/E6VP1w5E486eRLMjivT2Tyff7CXjWOyoy5d4Zy2APdsCpM3zIbIL55Zz8xg4fMka56uoSiPbI9y35YYneHx9zzoUrlsQZALF1biU7O43B5+83QXN60trQzg0RVOmuHntFYfS2ud+DxuK7lrt+Epxl+qqqI7nFz8x42kcvDzi+qZVeG22IeHyxfyQKNUUnlvI5LK8YabTFWtf17VjNdxaP3VfT5fgU/soQi5f4Ir7YWuyspKQqGQ9Qz+t8c0ppq+BlM1otEovb29+8QSLNXsXYpgIlixlHVdsTy03eJGimrSwGmXahbMJ/kUO4lHGKmi+mGfe6QwZy/qxwwnV92wGYAPHV/B5UdUW3hSisR2T+1UKmXNE4qicMVft5ZsvPQ7VWr8OjU+nZyh8HxHDAX4yAkVnDG7Ar9TsZSbSl1Lu2qoYF27ZPueQnBqVyTDVx821QP9TpXXLgzycneC1b3j+1tQ7ebSBQHOmlMBRt5iKJfKR2UN6IkrbOiJsH04za5wjm1DKUYn8QIPuFRmlDmYEXIwGM/xXGeCvGGywf/vpEqW1XsKGhEEv6cNjS0DCXaMZtnYG2P7SIYdw6mSSpiaCs1Bs1g+q9xp5mVr/fxzZT//XGNinQ8cW8GF8wLWdwR/lbqe4azOn17s54EtJv5SgDPbAlyxMMBPnxliY3+SpqDOLy6biVPJ8VxHjB880U84lcfnUPn0GfUcU2uSYGQ/9vxiLK/zxfva2TKWr/U5FH52UQO1fof1zHk8HuuZkzxyLBbbr7xaqTqArM+y2Sx/e2WQP70ygqqYTb2nzalie3+UuzaM8ODWaIFfvAJ854ImFlVqE66lfV/F60b5jP1ZEvUwOc/i4rE0wthtJAWTlGqQ2d841BLnxcSq/+Qobsw42CG1q3w+b+FKOwGyrKyMiooKqz7z3x7ThfFJYhpsTs2IRqPs2LHjgOQzir8rYG+yzsniSVOSilJYFv9tu4yJTAifua+Hdf0pXr+kgncdXWHKqeUN3nVrJw5N5aIFIc6c4aKuPGB1wD3fEecL93Xg0hR+f3kTZW4T1AiDPZVKWWDU3rE2octd1fG6ndaxCiiTCVHYp1L0yeVyrO7P8rl7O3BqCjdc3UbAYRQUh4bjWb72cC+bh9K4NIXPnVnP1x/sAuDmq5tx6yooKr1x2NCfYHV3lM0DabbvpssRYE6lk3cfXc7cStekiU+7DLxMBHJsw/E0X7ivk00D48B0Wb2b7144k3TSbCwYzeq88W9bxu+jCkc3+XiuPWYdm1tXeO2iEKlMjke2xwrY4RUejfceU87xTd4Jx7g9Ah+5bScAIbfGyBig9TpUFta4GIpn2TmSKZDUMTBlHltDDp7tSFDt1fjDa5t4alecb6/oR1PgN1fMpNY9DnjsC6TNI3n+7852AKq8Gm9dWsYPnx4qOC6Rf3/doiDvOb6W53aO8qWH+nBp4HGoLG3w8Zp5ZcwMObh57Si3rh22GhaObvDw+kVBkjmDlT1J1vSl2TyQnJAMnlXuYFmjn8XVDhZVuwh6nbv1AoVxCVkY7+KVxZg0idj9w4cTOR7eHufezZECFvn8Khfnz/Fzygwv5QFfAdiDQllIe0OMXMtUNs+jOxPcui5M+2hhN+c3z2+m2WdMSGDC+IKzJ5rhzy+PsGKn+ftPnFrLRQsqLCBqZwYCZHIGt6wb5Z9rwpa052ULglx9RJn57uwhDpVs0L5IPRbHQ9ui/OipQRTgjjfP2Ofv273qpQt2T1BG2JyvloTS/5Jfj8RUx1RT/fyncnR1dTE8PLzfrEaYOD/b2RPFxUGPx1PA/LY3L8ocKIk0SYaU6v4vlsWU38m4aGdkyzHYExaSPLMzMCTpUiqxKEkWke3rH41x3TMDPLkrTtaGbU6bFeDjJ1bjcShWA1M6m8dweIiksvSPxskoOsORJBlFYySWIpHJk8gaJDJ50jlI5QxSWYNYOsvWIRM7+Z0qbl0Z96rOG+QMW6H6P6xYLccict+mZ/UYq1pVcOoqump+dvNgGgOo92vkDRhJ5kmVaB71O1XmVrmZU+FgaZ2bxQ1B/G6dD/5rm9mMe0IFly2p3e3caL+3xZhiT0lCu+ynJBXtLDUYT7SJao5dtal42yIxLklFGG+Q1DSNSCzOJ+/tZetQitNbfXz6lKpJj83v9xesieLxOH9bHeaGlePeoMvb/KzqSdAby6Ep8PZjqrhyURm5scSpXYln10ia//fYAN2RjCnlroDk61UFltS6iaSNAql+p6bwkRNr2DWc5LEdUfpi4+9swKlyaqufU1o8HN0SJJfNkkOlczhBTzTLUFph11CcnkiWznCGjnAWAxOr3/62uWDkrYLIwcQ+h8qS50Dx6rq+JJ+5v5dqn8YfLm/ap++KcpM9WbinKB6XD3fMnDnTavr+X4hpTDV9DaZqGIbBhg0brBzV/owppUg8gt9K/a24AGOfz4RdK2pzTqezpAy0rMftjYul8iiSPxQ2aDET9Y03bqYnmqUxqPOXq+cUMFqL5wR7/kF3efm/27exvt+cUxXAqSuW/eHuwqMr1AWcVHlVGspcVLqhxmcW0psrfXiUbMFxynntS6OZXP/RZI5vPNrHxoE0DhU+eXIV9QEHd22O8cjWCJmxpGKNT+eyxRWcPydAmcdBz2iCnaNZtg2l2NwfZ/twho5wpmR+VFWgqczJjDKdtko3M4IaCxtDVHm1ghzZxv4EP3hygI6w+YxdvqicNx/hL1CclJD7BubcmM7m2dofpTOusHUgycb+ONuH00RSJarlQJVHxaGpdI+par55aRmvX1yGY6y5QsL+fNptVNpHM9ywcsRSUNQUOLMtyIsdUYaTeZY1ePnamdV4XE76Y1m+/WgPa3vNe3PF4grec1w1Dk2xGpkFa6ZSKVLZPD94coCnxuw9/U6V313RSoV3vJFEmNFSwN8bb2fZB2Aphvn9fusYivHYk7tiXLPC9D7/wHEVvO7IQjyeyRnctzXOb54fIG/A1UeU8d4TG0ilUtY1tGOyYmWt4mfVroxaTO6DifUByZ9Lc4yQ+4rtFw4k9qQQsb8hx/5q+IqrqmqtgQVX7o1q56vpg67rOvPnz39V9n2oYrowPklMg82pGfl8nvXr11uFbGFZ7ynsE/Pu/GWKgaUUY6WjUY5BOi7tnix2Ng2YwOD5zgRfur8Tj0Phb2+YjZ5Ps2MkzWfv6yE2xi52qApnzQ5y0fwgcyvNc/rkfb1sGkhx9dJK3ro0aO1Xjql4crRPfIlMnj+/MsKTu+L88fWz8Lt0C9CKBDswIWkrCdmP3L6TjQNpLp0f4GOnNVkJ0754nk/duYPuSJagS+Xb5zfTGoDLbtxJNg8XzPHTGc6weShNogRzOuRWmVflYl6Vi7mVTmZXulixI8avnx8iZ8DcSidfPL2aSu9Ez14Br3IfBERLgi6bzRLPGnzhnnbW9Y8nqc6ZHeRzZzaQTqX459oIf3xxwGKL20PY1S1lOh3hrAVSy9waR9a5WLEjjgF8/rQqTm6ZmLj41H29bOhPoitYCeKZFS6+cWY1jZVmR+VIJEZvUuOWVQM8uDUCwP87u5Z/rh1ldU+SljKd6y5uxDAMvvlYP892JFhY4+E7y6tRx6Sg7M/Xc10pvvFwDwAntPhZ1R23WN9zKx1sGixcNF08v4y7N46W9P1UFWgI6CyucZM2FB7bNu6Lc3KLl7cfXcXsGj/9ozE2DOV4uTPGy11xdgynJmxnbqWLZU1+FlVqzK92lSz4yrsjz2wpVolITomsKkDeMNg4AnesGy70IneqnDM7yKWLKmkOjvs6qapqNZCIX5JdtkwaYTRd55kdYW5cPVogibm4xsUVi8s5ttGN05b4LR5D/vDSMLesCzOvysn3z6vbo7x2TzTDr58f5vlOcxvVPo33HlPBCU2e3X5X5HHk+h2M4rAA6f2VZf/p0wPcvzWGz6Hwj6ta9nnfk3k6SfOPnKdIjsnPItn/ajCnysrKaG5uPuz7PZQx1THVVD//qRzhcJhdu3YB+1/MmQxXappmqfRICGaRsdxu/yMsQllM2/8t85mwaWUuK8XG1HW9ACPbFTZ0XZ9QpBTFI/ndZFYVIvMneDKbzZLJGfzy2X7u3RS25mRNMYuQPbEcr3S/+uxWBVCUcQlwTR0rVCsmM9ypq+iK+cHUWJE+ms5PSFhWeTVmljtZWOejxQ81IR8+h4pLNbh9/TD/XD2KAcwIOdk5YqoY/e11TdSUByz8Kgkwe8Lkl88NctemKItrXFyzvBZFURjJaKzsDLN1JMfanhhbh9IT2D2qAi0hJzuGTWxy7QXNzK9U8e3mOS5+Vu3+8tL4YLecKqWYJWsHUU4QBYJkMlmwHfFHLPUsidSiJBelOc5uhZNIJNgRzvPRO9rJG/DVM6o5tsm7V+fl85mS/at64nzt4X6r0WBupZNqr8qT7ea1X1Ln5ivLWyh3j7PontkV5duPdBPP5E3vy3MaqPXrPLErzt3rh1nbV0LxSIGvnFXHqbNCVoPn+v4UD26N8nRHoiDZrI81SExmxWSPKxYEeMfRFXv41P6H+KHaMdaB4qqD0cR57+YIP392iKMb3Hz9rNqDsm/B/cWYUtYj+1JIP9jR0tLyP4U9pjHV9DWYyiFy6jK+7k3zkT1XCYUqenbf6eK5zm7VIHlLmUtF8U5YstFotGA/gieF7ANMWsiRgprka6RgLscj/79tfZjfvmg2pN3wuhbKXBNzWPYQPCENcSs7I/z2hUHWj82zNT6d1x5RSY07z2DSoDeSoTOc5oXOpFWE3lO4NGWMca5ZBfOmCi8VLoNqj0rIo1m5tslCmJnZbJZkNs/3nxjgmY4ECvDuo8t54zH1DCWy/GvVALetGyE6lmtUx9R7SillgskCn1XhYma5i1nlTubUeGkpc+B2aAW5ZSnuApZ1oGEY5BSN657s4s6NZm6xKajzqZOrmF1ZaD8iRC6g4HkRm1AwFYGieQcbeqPsGMmweSDJ1sEk3ZHShU6HBnMqXMyqcDKr3GEyzKu8aIphqZvK2kYK5luH0lz/XC8vdo016Zr+QWQNuGBukE+cWkcqlSKbN/jbmij/WGWSfuZXu/ncaTVUeZRJFV5uWBO1pNi9DpXfXTmTat+4b7p4qIu65Z5yX6WaKezPsF39YGN/gs/d30sqZ3DpgiAfO7XRWttJpLN5PnJHO1sHkyyp8/Dd8xvxuF0FDTSCf0WRyb52K8bjwiKX9x4mWsS+GiG2YZKzO9Cmw93Z0RyOmGwdI+dXjCvBHL/3V5XgYMWiRYv+ZywfYbowPmlMg82pGzt27LCK13vqxBE/H3sBqbhLzD5gFQ9edla1PXEkCUq7zK6iKJZfiYRhGHz4rm52jmR465EhXr+4DIBkNs+KHTHu2hRl69A4WJ5d4eQ1cwME3DrferQXt65w4xvaKHPr1n5hfNKTSVoil8uRzmT5wO0d7BpJ8+alId5xXJ3VQSbnZ2e953I5S14I4JWeJF96sBenpvCn17VSE3CxvifKlx7oYiSZp9yjcc6cMtqHTV9wO6tawq0rzKl0MafSybwxSfQqr1ZycF7Vk+SaFf1E0nkqvRpfPK26wEvOzhS3/yxAS4p6Ho+HkUicb60Y4KWucVBw5eIQ57d5+fg9PRZIBZPFc8asIC6Hyp3rRwqOaUmti/PmBDip2Yvf6+aPLw5ywyumN/nPL6wvKN5HMvCGf+yccF4fOaGC82aPywz5fD6SySRX/X0H4VSe+oDOby9t5GN397B1KMX8KiffP99kofbHsnzwji4SWYOPnVzL8pnugusxFM/wrpu2WXI8wk5qKXOwazRDhUfj0vkB/vBy4XlJVHg0ZlU42dCfKrgmEiKvKdtXFThrpo83LglR4x8/91hO44X2MKt6kqzuS9EVLkzQ66rJ6l5a52ZJnZu5lS68brNTWVQMpDA7WSJKOpvT6bT1/BqGYXmR37clWuAJv7DGw7ltXk6Z4cWtqxPkY2F88Snbk58Nw+DNt3QymsyhAnJlGoMOrjyiguVzynCO+VzJ8xhO5XjfbV1E0nnef2wFF9mkpfYUz7bH+fULQxar6JgGD+8/tpy6wN7Lq+/OG2l34Xa7Jy2q7Ev83z3dbB5MM6PMwS8ubtjr7wmI3B+gXCxjdbiBstfrZdasWYd1n4c6pjqmmurnP5Ujl8uxfv166+c9FXWEWSgJFpgoET1ZM6YsrsXjTpo8xepGEo7CQhDMWczK2d1ximVOOp22xlfBp8IEEhwsi3h7gsjpdFqJGbu3ujSXFasPyXFlDI0fPtHDEzvjVrHPzpwujnGvapNJXSD/rYJLVy2/6o5whnjGoNqrsaTOjVtXzPl9zALF9KlWCDhVfA4Vn0sj4FQpD3hKerAV2wRJA4NdZjCHwuoe05f8pa4k24saAf1OlaMafRzd6GVZnYumCh8vdcb55kMdlmpQfcDB71/bbF1D67t+v7V+SKfT9EczvPu2TrJ5+PY5tRw/s3yCdKnudLOmc5SNAyk2DKTYOJCmLzZx/vQ5VOZVu1hU56WtTGNulZOgq1CmUZ69Us+GPFuTWeKUkkMX5rc8r3bmtaxbdtfca49Sqgd/WhXhplVDVHs1fnFxwwRZbWFBiTVU8bsRT+f59H097Bw18Y7PqfLahWX8c80IqaxB0KXysRMrOa7Rw7/WhfnjyyMYwNJ6D18+q4GAc7yx5IGtMX7x7CDZvDHh+a716TSVOdE1hd5Imt5olsQe2G4KZmI85NbojxV+vtytcv2lDbgch08GcX8xJbDXyea9id++MMRtGyJctiDAu/eyMeBA8GCxGtzhLo7X19dTWVl5WPd5KGMaU01fg6kcw8PDdHaaNmP2Jv1SISQPO2aT3KMQcIrxn71obvckF1scYW0K4zUejxfYnsi2isfMyRREijETjBerBN/Yi+vn/X4juTyc0+bj4ydWWVLWdisJu7xvOp22vMGlYX7FzgR/eHGQ/jEf7zK3yvHNPuZWOGgs9xJOZPneih5yBrzrGLMQ3DmSoDeaNQvo0Sw9kTRD8dweG9B01SzA1/p1qn06tb6xIvqYfHuFR0NTFSvvmkwmSWey/OzZIR7aZhZom8ocqBgFBJsJ11FXaKtwcmyzn9lVHhq9Bs1VAcsCUPJjYpUkeVPJg8l9LW5u1TSN1QM5vvtIJ4PxLJoCb1wS4spFQTR1vDFBCrB2ee3ixt1UKoWu65ZtTjweJ6852dgTZctQkm2DaZ7rTBRIgttDVaC5zJRgbw05mFXuoK3STYXPWaCquqYvyZ9fHikgNAG8eWmINy4tt9S0nu2Ic+2KHiKpPD6nyidOrOSMuZUF+F2e41wux50bw/zqebMxw6UpfP+8WubU+CwPeruVFFASi4r0vuBw+e5k+KI/luWT9/YwlMhxfLOPr55VRz43ETv/+Ike7tkcJeTW+Mlr6qx8sp2kYsdg8v7K/oubWqXoLGsXaYSR93BvCYSHOg6kWXKyovThiv0tbNvH0kOl+LmnmD9/vrV2/1+I6cL4JDENNqduDAwM0NPTY/1carApTtxMJksiQMzekWn33SlOCAmTQlgzAvDEs1tAocidu1wu7lk3wPefHKDMpfL7yxsJBXyWbKZhGGwaTHP3pggrdsQsv0avQ8GhKYwm81y5KMj7TqizCvN2dqfIitg7lJLJJI9ui/C9JwbwOVV+d2kDNWNS7cWDu3w3k8lYHfM+n48P3bqddb0JzpodxKcZ3L0pUpJpbI+j6t2cObuMedUemgIabtfu5bTt0RPJ8I1H+9k1msGhwqdPr+ecOSEURbE6AuXYhWVil8Oxn1s6Z3DNin6LjVsqNNUsfq/sSVngVQGuOKKcC+eVUe0eP1mPx0M4GufT9/WwZSjNUQ0evvuaFrSxTrBP3tvLpkFzwq706jQEdFb3JnnfseVcPM8cm8QP5aEdSX74uPnsfu+CRhZVOXjXvzvoiWYtVoQsPm5a2c+vnhvE61D55cXjxXg7o7w5qNETy5HJmez2n76mjg/f2U0knedrZ1Zz+4YIL3WPgzhJ4l25OMT7T6glk8kQScNtawd5uj1O+2imwDN0wnVT4DVzA7x+cRnlHnNBY39PInkHz+4YZmW3WSgfKEraunWFhdUultS5WVrnpq3ChdezZ1nsyaS+PR4PsXiclT1J7t0c5Zn2eIEX+fK5Ic5pddNa7pxwrLJIk5D3/trHurhn4yjnzvZR6Xdzx7phq3kg4FS5ZGE557d5KPeYC8JfPDPA7etHaC138pML6qwFyN5GMpvnn2tG+dc606/cocLrF5dxxaIynHvwUy3ldbs3Ye96PtB4003tjKbynNbq5TOnVO/19w4E6JYaxw6FFOjuYt68eVan/f9CTHVMNdXPf6rHtm3bJvVnlChuJipuuhKptWJ/72KZSfvfZOySpKhIWQIW3pHipPxdJBTt2LUUDt7TQlyKWA6HY4JXpb1obi9iCvtJGjVl3LXj5oFokp88M8LzHeNsDpcKbziyitcvKcNVQlLbnuSVhlZhHyuKwsb+JB+5fRcG8L1za1lY42Zfwu5bLYoj0txqGAZ+v59UKmXdR0li2+/dQDzLukGDp3eM8Ep3coLyUEvIybI6FwtqffzymT4raXjJwnLefVQIlfHPl5rDrnt2gFvXDrOoxsVPL51Z0LAreNceLpeL/mianzzVz7PtMSq9GrF0nmSJQmxTmZMFNW7mlOvMq3KxsKGMVLLQK9TuSydqPS6Xq2Qi0M6ckXOxqw6USrbK8yJs+ckSTcXf9fv9DIyE+dCd3fRGs1w8L8D7jh0vlBY/5/a1WPGx/+r5IYtVpQBXLAzycneSrWOM+8agTueYJOn5s/18/LRGMqkEGdXFxp4wN64asbxE3ZpCck8Lo7H9VPl0an0aDWVO6gIu4pk8m/tjrO9LUaI3FYDZlS6+f14Nurpnm52DGftbXD7Yib8vP9TLy91JPnpCBefO3nPDqcPhIJvN7ncS2P4OvBqY0ufzMXPmzMO6z0MZ05hq+hpM5chkMmzcuNH6WYgoxU1Dxc1EgiftuS0pIk+mdlk8XtmVXewYTRT4RDlSWJyCs+x2kqUa4GDP84M0vX/x/i5e7Erg0RVuuroFn89nFfql2C/YVxpCpSjrcrms/Sazee7akuSvL/XvNj+lAPOrnTQFHVR5daq8Gg3lXoJ6jjKXBg43nSMJOkcSDKdVusNps3ktlmUgNnkhW0JTTKtEj0NBVSCVg9FkriTeArNxcnaVm5nlTsjn2TKcYU1PwirQt4YcXDI/yFltfgLeceulYu9nIY7I3wRLSQOnvcERYDSZ5RfPDvHkmFz5oloPnzipklrfeLOE5LKLZcDt6xFpyJXisLCS7ZaC1z3Tz7/XmgXoo+vd5BWFrYMpwpMUzCu9Gm0VLmaWO5kZ0plZ7qTOr/FKT4o/vzJSQBRbPjvAB44tJxTwYRgG7UMxrnmsj41jlpmXLwjy/pPqceqaZQ9q99MWmz+5d19f3siRNeNFaCG4TPY8F9cA5LrbJc8lEpk8n7m/h+3DGVpDTr53bi1e5zhuk2f+se0Rvvu4KbP+9bNqOLbJN6EZBAqxlLyH9gZTudf2d0ik0O0e5LJetTf+llpLHI7Yn+KyoigHZHF2MOJAcG3xs/VqFMcbGhqoqDh0ilOHO6YL45PENNicupFMJtmyZUvB7/Zm8JGOzOLfl0rgCFNCAJsASnshtrggq2maBTbl98aY/+Gb/76FvliOj55Uw7mzPCUn4nhO5e4Nw9yzOUqvjQGrKvCZ0+s5vdVHLjuxACbFcWFpqKqKw+nkvbfsYPtwijcdWcEbFges61Isz+n1eonFYgxnNNZ2x9g4kOLFzjjt4dLFtlqfztwqJ3MqXcyvdvH31aO81JXgk6fWceaMcaa3dFTu7bAUT+e59skBq6D9ukVB3rqsHCkNiqd48Tbt11JVVXKKxt3rhvjTKyOWtLiE16EQL5J5r/JqDMRznDXTxxfObrKknOyJ2WQySftoho/f3U0qZ/DeY8o5d3aQnzzdz+Nj/tIht8ovLmrgjyvDPLA5zDuWhbhikakQIADrDTe1E0nlaQo6+NUlDbhcLl53wxZGknnOmOnjy+c0WwAglzf41H09bB5Mc2qrn8+eYjIJ7t8S5afPDKIpsLTea7HjQ26Vv71xNj97oou7N0VxqEy6iHjPMeVcvcyUJhTmvST7Nw2kuH97gpc6Y/RHsyW7bBVMOcqPHF/JwqaQxeKWxZUw4rb2RVjVk2RVb5KVPckJYNnnUDii1mSTH98aosZlLpqEUWRnHUFpJovYCDgcDpKnH5IAAQAASURBVPrCSR7dleLO9cMF79DcSiefPbWa5gpzkSidoPaFpGxH/IGayhxcf3kLOUXnjjX93LZh3N9cV+H0Vh/HNHq49gnTJ+g759ZxTEvZfgPO9tEMv3p+iJU95vfrAzrvP7aCoxs8k35nf5J3+2JBsTdxyQ07yRsUNILsKQ5UVqh4/Hw1WOPT7J7/rZjq5z/Vo7e3l/7+futnu8S5RKlxRxKW9t8XJ1SKmT2AlSBUVbWgOC14VMZIuzekJM6kEVM8wyVxVjyml5ofREpQEmulpAihdHOpMFmi0aiFf1VVLUhi2o9711CcHzw5yLq+8bE+4FT50Em1nNLkLDhG+5xgTwzbE8Y/fXqQ+7dGaatw8sPz970JTcK+L5/PZ7GpSn1Grq/gJDlvA4Wtwxle7k7yQmec9X2J3SZWZ5U7+fLZDbSUuyfFxQPxLO+5rYtMzuDby+tYUluonDRZ48YH7uiifTTD185pZFmNRk9SY2XHqMUq7yyB5V26wpwKp2VvNL/KScVY86V9X8W2N/aQBmFhfcXjcfx+v5VstLPf5DnJZrPWu7U77GI/P5HMfLk7wZcf6kMBrj2vjvnVrgJ52eIQJrywn4RV/timAb69YjzJfmSdmyqPwoPbx5/TuZUOKjw6ffE83eH0Hlnfbl2hxufAIM9wIkc0Pf75er/GuXMCnD3TR1NV0Lo+67rD/PHl0QKFK3vMrXCwfG6IU2Z42QcRoQOO/UneHYqE39v/1cFAPMe159WxoNq1288eiAIRTJQwhgPHqfsT/0vsnmlMNX0Npnps3ry5IL+4O9a3RClWr/y+lK0JFCrQSMOfFJulYFasYgRY+RDBn5LvFDJHqaJUqbFe8nN2q7PNgyn+7x6TCPK1M2s4ptFj4Vn5vhT9RelFsLNIhqfTaauouKonxW9fGLCKpwqmjHd6L4U9vA6VKp9Ojd9BuYuC4nmFRyeTThFJ5+mNZtgxkmHHcIaeaJaR3RS/J4ugS2P5bD+NgTHZdr9OtVdnIJHntvWjPLg1am2zzKVy0QJT2bKhwl9g3SkscSFA2O+fsMYFm9obJwzD4JHtMX71/BDxjIHHofDBE2o4o2UcM0kh2Y7t7MV3uxpWsbKo5JzT6TS/fmGYOzdGUIDPntHAyY06g4kc24fSbBvOsH04zbbhNF2TSLG7dcUqlOcNhcd2xiw7zjK3xpuXhrj0iBqy6SR5VK5/vp9b14cBWFjj5ivnNOFXJ64XAB7eFuWHY8VxgHccVc5rFwRQlHEp9lLz/O7mfnsR2+12Y6Dw5fvaeaY9Rsit8sPz62mtCU54R4YzOu/91zYSGYOrl5TzlqVlBXYG9tym/R3b3Xtf3Dwj728xs7w4Xo0C7f74jh+IetHBiAPNLRZfZxkfD6ca0VRuuJwujE/HlIh8Ps/OnTsLEnrFCcBSg+lkrFM7O8LORi7uqhJvHXsRVvYrLCGZmOz71nWduzZF+dlTvdT6dX5zSQMBv88aLEWKSMBsJpvj2Z1h7tgwygtd4/uv9umcN9vHebMDFlvXHsWg4Kldcb69oh+PQ+WGq2fh07GOK5zKsyMCqzvDbB3JsqEvMWmHH5gS3W9dVs4RdV7KvQ6LYa4oCt9/vJeHtsV427Jy3nxUtVV0KwbAuwtZHOTyBn9ZOcLNa03Qc0Kzl0+fWoNLLWSy2EOOoyec5p4tMe7ZFC4pD24Pt65wwdwglyyq5NsPd7J5MMUXzmrkpAa9wGfe7XazayTNg5tHefvRlfx79SC/fH4IXcVMmtkY0b+7rIFav4OfPzvIvZujvHFJGW9cErL+fvuGML95weys/O7yWo5sMsHZ5X/dSiyd57L5Ad59TGFX17ahNB+/p5u8AV85o5qWkIOP3NlNImuwpNbFqt4UmmLKQoZTeT5wfDWP74iwpnf8GrWGHLxxWSXfX9Fr+Ru9Zl4ZHzw2ZAFDr9drgeVMJmO9S7rTyX0bhnh0e4xNg2liJa6rQzV9f85o9XLBgkpcY55IxcBSUVW2DyZZ2Zs0pdd7kxOaFEJuUyb16KYA8ytUGgL6BPn9YqAhYEv2p+s6usPBS50xbls7xFM7YygK/O6yJprGCuPCuCs4j7ExI5lTuOofO8jl4fpLG5hVazY3RKIxnu1IcOv68ATZp0U1Lr4z5gt6IIDTMAwe3xnn+heHLYuCk1q8vOfocqp9E5Nl+wsaDxYbZiie5a3/MqXifntpA/V7kb09GID81WDzFMdU7sL8X4ypfv5TPSKRCL29vbttsCy1yJXCW3HIZ6VhUpg6dp81wX12xRSXy2XJ+cr/7Swe+/ah0EvOPh9IYVvwrDS/7WvxpxTmkmKynI9garsHnH2M3jma5XuP97FzZHyuqvBofOT4Ck6fW2UdUyncINcvHo8TScO7/72LWMbgw8dXcP6c3bNISyWdi89ZcPvuPiMMZPF4lPvtcrmsRoG87uaprYOs7Mvw9M4II8mJ+9UUuGhekHedUI/PodA9muLLD3RycouHU1p8NJU5+N3LYf69dpiF1S6+e25tgYymHbfI8Y2mFd70zx0owE1vmoVbyVnPhnh/h1M5Ng2kLQn2TQMpYpmJ6YJqn8b8KheL6ny0hTTaKpz4Pa4JjQswzp4pZVFlT9bZ1Q/sfqfCWisukNvVCmQN5vF4rKT9D58a4OFtMVrKHPzkNfWUBXy7xRO6rlv3LoWDnYMxeiJZtg+nuGtTdI8F71L3sLXcyfbhNHkDTmzx8sFjy6ktK2Tmre9P8dD2OI9tH0+Aqwoc3eDh+CYPGwazPLQljAGomI0Kciwhl2ljJEemKnBkvZdTWjyc1OLF7zy0DPL9wWgHG5PF03le/892AP7++uY9nvOBSm1OljM43A2XCxYsKJAX/m+OaUw1fQ2mevT09DA6OjohJ2gvEBWPnXabmuKwF46lYbL4s6LcYseapRjkxVLc8jlhoZY6NrvNTqniPRQ2lYqi3LwqJz8Yswp0uVwl86TSuCb2MvaiobCcM5kMWwZT/O7lUVb3mMde4dE4b26QW9eOkMgaLKx2MqvSQ38sS38sS180s8ecoHXsY+mmyZoc3Zqp/uJ3qmiqQjZnEE7nGYhld8tmB7OQX+E15dkrvRrhZJ7tw2lLeUhT4PSZPl6/tJq51aZdk9PptLCUsLfl2ktITkuuK4yvC/qiWX741ABr+sy58YQmDx8+oZKQ25xjSj17xcx1O54DJhBWDMPgl88PcfemKKoCnzipijNm+grPXVGIpXPsHEmzbSjDrkiezf1xdoxkJvVdt0eFR+PqJSEumh/CoWs8tTPG91Z0E0vnCThVPn9WI0uq1IJzkLh3S4yfPzNg/Xx2m5+PnFBJ0FdIbrPHnvCEWBdkMhl+/dwAt22I4NQUrlley7wxK1Bd162G5UzO4DMP9LF5IMmiGjffO78BI5+zcq+5XK6gtiAkvj0pgfl8PoslLjUKu03S7uJgKkfuTewPRny15MfhwBWIYP+U3A52TBfGp0hMg82pG+IHKZOHsFXtE1mpia6Ur510SkrixC5RYn+dSnk7ClCzdz6KX7F084lEylA4yjv/3Uk4lefTJ1dxztyQ1X23u86hezaF+cVzwwW/01U4qdnLa+YFWGRjTEAh4NY0jQ/f0cHWoTRnzvQyu8LFxoEUm4fSdJfo3HOoCrOrXMyrctMdyfBsu9l4oCpw/WUNzKgKFrBspBP1uqe6uGVtmNcuLuf9x1VZoFmkbUqBZrt0pzBShHXk8Xi4d8MQP3qil0weZoQcfPmMaur8jgkTimEYrB/Mcvv6ME/tilpgttqr0VruZMdw2vImGj9PuPnNs/G7dEbiGa68YSsGcNObZ1PlM9nhkpx+eMsIP316kETW4BOn1nFGs4MP3dVN++iYbyemNPmscgc/vdD0VxZfvCsXBXn7MtMjJxaLcfVNHcQzBi1lDq67uAG/308ul+P8320gk4e3HRnidWMe9BJut5vrnuzmX+vDVHlVqn0O1venaAjoVvflJ06qYjCe5U+vjEy4p+e0BfjEyVVmM0lU4UO37rD+ds15jRxRPd4IYO/4tXvY25Ox0ZzOHeuHeXBLuICRbY8qr87iWieXL66irWz82Sx+h3J5g61DaYtNvq4vRaoIIFeN+YkuHWOV24vDUoQW6c5i5YB8Pl8AiP/vlBpeMy9ksYeKn0uXy4Wu68RiMb74UB8ruxOTeoZvHEjx2xeG2DAwDvJayhxcOj/AmbP8eJy6JUG6P16L8XSeG1aNcMfGCHnDbOR4wxFlXLogiG5jyU2W+N9THAzA53K5uH9LhGsf60YBHnzPfAvgT8ZIP1iJxlLFjP29Fvsbzc3NlJWV7fmD/yUx1THVVD//qR5DQ0N0dXVZ86CoANnHmVK4stjeRn5XLEtZquAryUPBr8IK0TTNUv+x2+YI41YKJ8Vjqcgf7osiyJ4SQMV/n0yNSQrxkqiFcQwtTQGrexJ855FOemzYoSGg838nVXJEvX+Cp6b8LPZFhmHw95d7+e0LwwRdKr+5pAG/a9zSRWyB5Fqk02nrmklStVQSqNS8JElA2aasEeznL7jVMAwLO+VyOW5bN8zPnuqjIaBTH3CwqjdJpgjbzKty4XdpvNg5fi1bQw6Ob/bzr7XDZPLwzbNrOLJ+XDHGvm95nkQuck6li59c2GA1906mBADg9njY3BM2GeX9ZrF812hmQjJYV6GtwmSUH9HgZ3ZIo6ncU9Dwar928vyJ5GYmkyGfz1vS9PK54uYCeVfsDHPBdrquE41Gre+kDJ133ryd0VSeNy8t4+3H1lnbzeQM+mJZeqJZeiJZemM5eqJZusJ75/UNEHSpqIpiecTX+nUL686ucHLV4jJ+8NQAyazBKS1evnpuC6nkROl4GHvuVQePbB3lno2jrO+f+J4tqXGxbSRtMcxFJn4wnuWJnXEe22E2pUo4VIWjG9yc1urjuCYPbv3gF8n3N3F3oAk/eZ9UVWVdb5wP37aTSq/OP980m2w2O2kT6MFgdpe6f6+Gr+WiRYsmNAP/t8Y0ppq+BlM9tm/fbrFSZQyzj5OiDmHHJdLMVUrC3G6rAxPHPnseUpjfgqFKed3a7RRlLi9eR9uPfW9D9vGHl4a5ZV0YBbjl6macY/NV8VxRCoPJdbBbRQIWZn58e4RfPdtHz5iSX0PAQdfYvwU7SZNANJlhY1+cDYNptgym2TViWv3tbcG84NwcKlU+jVq/k0qvRqVHpcKt4NZVDKA7muXf6yLEM3l01bRYHEnkJuS3dhdlbo0j6jwcWe+lMeSixueg1q9DNmWxtQU3ia2R5MGgcG2Qyxvcuj7MX1aOkM2b6pIfPaGS45q8Bdde1hXC4Jciq2wzn89PWtg0gF8+N8zdm8KoCnzy5CpOby0sjttVmGSNompmLnPLQJJtw2k29cfZNpxmtERjKZj56FkVLo5u9FLp0blr44jVcHv10kresMiHpipW8y6YTQJ/WzXCDatGre0sqHHzxdOqCbnVCeu8Uuoxxechqk/3bony82dMRvpnT63i1Bmlz1kaXoMulZ++pp4q30R1Jnuzs520VIypdF2fIIF/ILk8YZsfarLJ/ub/DkbTo6wP7evp4sZuexyoApHEf0JhPBgM0tLSctj2d6hjujA+SUyDzakbxVLqknSRpKJd1tEesuAWACCdePI3kaOEif4ewARQKBOeDLqSAJIJxp4cdLvd/On5Xv6ycoTWkIOfXVi/V4tfwzD46N3dbB/OcEKTh3AG1vWOn9uMkIOL5pVxequHyqCPaCxORzjD5sE0W4azvNAeoydWemBvCurMrXIxv9rD7HLT68Xr9fKdR9p5ZJuZVJOk0OWLynnXsvH3zD7B/WtdmN+/NMxZbQG+dHYTQEnAK92gFhvZBv7letsBycaBFN98tJ/hZI6gS+Xzp1WztH6MlZLN89j2GHdsjLDDxkKaVe7AqSlsHkxbXtOaQoE/uqrAH183ixqvwlPtCb7xUBctZQ5+c3mLBTgjsTh/WRXhljVmU8IRtS4+dFwlN6wO8/iO6IRr+a1zalhaZyYw/7oqzN9XDfPaxRV86MQaFEXhry/08PuXzG1dd1krrUEzAZTL5Tj/D5vJG/DxEys5p81fsF2Xy8VoLMEH7+iiL2Y+m04VsobZ0XrKDC8hl8qjO2IF0o1SsC/+d3GE3BrL6l2cMjPEnHKNCo9qdR3Ks6zrOslkklwuVwBQcnmDv68e4db1kUkTjpoCTUEHJzR7uHBekMYKvyVVb29ScTqdxJNpNgyYbPI1/RnW9cbJFmHj+oDO0Y1+ljX6WFSl4x8jKMv7LO9UIpHgifYk33m0BwO4+ogy3nZUpcVmk45sScDncjmy2ay1iLzhpT7++PIIxzX7+MrpVRPOK5nN8/7buxiI55hf5WTnaGZc+smlcuG8ABfODVDm1g4IBG0fTvPL54YshnpLmYMPHFfBEbX75q9aKvY3mSjPbTab5UdPDfDQthh+p8rfX99c8DnxcILxRX8pxuLBiv2RaTqQaG1txe/37/mD/yUx1THVVD//qR7FUuoy1xVb5hSHXfZSCrjSvS/ylYIr7bhpsu3JHCYFepGeFmaOLOhLySDubxR38svcmM/n9+hjaS+ET+arXnyuL/Zk+cmTPZYqCpjY7UtnN1HjHp/07SpOsv1s3uCjd3WzazTDxfMCfPy0xgIGi8jb5/N5a77fU6Jrsjm6FIu0OEkj90MaYhOJBN9eMcCTO6O84+hKrljgB83B8ztH+dvq0YIip4SmmHiu+AirvBrfOKuGlpDTatyT6y0Mkx88OcAj22NcvbSCNx8RsD4nz2SpZHap841n8mwZTLNlJMfaHtNSqRTrvdyjMbfSOSa/7mJBrZeg12Wp9YhNk70xVrA/YOFJaRidjLFf3HAi2HwolubODaPcsGoUVYGTZviJpHJ0hzP0x0pb/xRf0zq/Tq1fpy+aZXXfxITbSc0eWst0/rYmYm3v+GYfb15axhce6CGSyrOs3sNXzqjG73Vbz4MkNuW9lOPXnC7+vXqQG14ZKsnUl7h6cZA3H1k+4ffdkQwrdphF8l2j4/fTrSsc3+Th9FYfy+o9OLSDU1A9kELzwfInf2BrlJ88PciRdW6+eY5p+yQKHbJ+sDPqDjT2hzV2sEPTNBYsWHDY9neoYxpTTV+DqR7FUuoyzjkcDgs3lFq3ytwpqkJSwBEPbjDnmWLf8t3JQovPsB3fWQXKMRxTSo56f0KOP57Oc9U/2608zJuXhoCJ9kLFykeSd83lcgXXTzCo4IF4Ms3tG8L8fc2olYMB8DsV3rAkRF80y44RU857MlXMgFNlZrmD1goPIZepwOhxOekdTTAYzzEQzzGUNCXWS6kmlgq3Drm8QiZvoClwygwPcyrdOB0a6UyOZDbPcCJP3xirfV8a9+oCTmp8GnVBJ5UuaAi5qXBBjU/H79KsRs3inNjWoRQ/eHLAKiRfMDfAh06qx+8efxbT6bSFGSXXY5fXL2U7BGNrBlXlx0/2cf8Wkzn+mVOqOGWsUCz3WDCirJvsDRp2xZ244eD59gg/f7qfZNZAV5mQD5Sw53gbAg7eeXSIE2dWYGTGcYjJah/m7k0R63eVXo1vnd/CnMqJNQM7+Q3G1zZ2z+uXuxN89eE+0y51aRlXHxEq2IaoKzy2dZSvPWgqK37trBpOm11prUlEJj+Xy1ly+LlcziIsybsga0DBlWJjlEqlrGM6UBw0maruwYr9xZV2lal9CVH13RMetTfgyJhoJ+8dSExG0jychfHy8nIaGxsP2/4OdUwXxieJabA5dSMSibBz586C3+3tQFNcgJXJT4p19oFQOrakSFi8AJckiD2K5dHtA3I0leMd/+4kkTX4+tm1HNfk26sJSCTRvQ6F31/eRF8sy71b4jy8NWxJ9OkKlHk0Yun8pF449QEHy9t8zK10MrvSZUnTiZdQLJ3jmhX9vNydRFPgoydWUunR+NJDfThUhesvb6TSJuEuSQPxcFlW7+EHF7cWSFVLMXV3kuoi7SQsVnsibyCW5ZuP9bNlKI2mwJuWhkjmFO7ZOGrJDzlVmFXpYiCWZcDGDl9Y4+astiDXPWMCF6cKgmn9TpXrLqrnxtWj3Ls5yiXzg3z8tEZUVaU3nOSbD3dZMk1XL63kxBYv3364i95YDl2FM2f6eGCr2TwQcKr87fXNlh/9n1/s468rRy258nw+z1X/7CCRNWircPHTC+utJo10Lsf5v9sEwDmzA5DPMZjIE07liKXzJLKQzuZJZQ0OBxe22quxqNbD4nofcyt02ipcGPmc5Utd7Dfl9XoJR2OsaE/zxxf6rUT3ZMV4r0NhbqWLM2b6WD63HCOXse67x+MpAJ+qw83qnhivdMV5uSvGxv7kBEbTjJCDJbVulta5WVzrxu80mWtPbR/lm4/1kzPg0oUhPnZKvcWEt0+TPp/PKvrboyep8u6bt+PUFG596xzymUKA9JdXRvjHmlFqfRrXXdxANg+P7kpxy5oh+sbYRQ4Vzprl5+plNVS79h9o5g2Dh7fF+P1Lw9bC7syZPt55VDnlHm2PSf/dxWSgDbCUOCTsyhoSH7u7i61DGWaGHPzsoob9OoZ9jckS6Yfbi2i6MP6/FVP9/Kd6dHR0MDIyUvC7ycYaewgzNpPJWLLRgmmy2eyEhIWMU1LktMsiimy4hPxNWBvyvVILdkl2TtYYursQBoQwBxRFsRIuIrcHTJDdE3nHyRK7dtZTqfH54R0pfv1sb0GxcFGNi0+dVEW1Xy/wW5frkUwmeaU7wZce6kNV4Kevqae13ElxCMtFmDS7myMnUxspta7weDzWPZH9yLVLJBLk8gZvvKmDWCbPdZfPZG6l07o3qqryxJZBvrOil2jaTJjqqrJHJlFryMHJLV7OmBWk3j/OEFYUhbfe0sFgPMu3z63n+BllViJUzqdUUqjUvF/MNPJ4PGzvD7NpMMP6viQbB1JsG05PSE6qCrSGnGaxvNrF4joftV7wjLHbhK1mVzmQpHmp62uoOv2xLO3DCfpiObrCGfpiObojpt9nfA96pW5doc6v01jmosqj0FzuodINdX6d5nIPHpeDZNbgu492sWK7mSS9YlGIC2Z7+cz9vRaGLW6oVQC3QyGRMZhb5eKHF83A5zKTpsXsfElq5g2DFTvi/OWVYXrHGltbyhy89cgQg0n41bP9BTjZrSucMsPL8jY/C6tdVmJVvGPT6TQ7RzI8vivBo9ujBapNAafKSS1eTm/1sajGhabuf5H8QJR9JvOkn0weWMa74jHt9y8O86/1YYtBf6ij1LN4uDGlqqosXLjwsO3vUMc0ppq+BlM5DMNg/fr1Bdhib5ttfD6fZT8iyn2CRwVrlmq4lM/Zx2/JwdmPS+Z/ew60FI4T3LInz+JSIUzzj9zRwaaBJBUejRuvarUK/IKbSjEqS2E2uXbyXcMwiONkXVeY9X1JHt8Zp3sSJUMwsUpT0EFblYeZIQet5Q7m1foJOceJT16vl1QqNWmOIZbKEs6q9EUzdA7HrbzjQFz+n9vr4rnPoVDp1an26dQEnAQc5jEmMjk2DZks6j3JsxeH36lS7dOo9ekFBfOWKh/VXg2yaW5cHeZfa0cxMMkmXzyridZAYa5H7reu61ZxGLAIYKVUoxRFIZPN8tNnBnlwawxVga+c3chJLePy/XIP7Zjbbl8pIfd4Q3+KLzxo2kCeN9uHouo8tCVMJj9uT1NK9l4BGoMm4WtWuZN5dX4avQa/fXGEJ3bGrBylU1P41Km1nNTkmrgRW8i7J80C24cSfOqebmIZg+Vzyvjs6XUWe1/OK5VK0RPN8LG7zM+9dmGQdx413vhoV26Ud8Xe8FxsNSBNpfawy6GXUp8oFbKeku/Zx5G9lWHfnzjYDZcy1olKlYQ0KU/2Hh/OKDXeTxfGDyymC+OTxDTYnLoRj8fZtWvXhATdngZcRVGsyUVRFCtBI8BTuuXE66ZYNnF/BvViiZLrXxzi1vURFte4+M65dQUe5SKtLt1hMthnczk+elc3O0YyLJ9TRnNQZ31fnA0DaYYTJSRAFGgM6Bzd4GF+tYt0zuCHTw3i1BT+eOUM6kNeS85GwOdIMsfXHu5jy1Aal6bwlbPrWVpjSqJ/7oFe1valuGhegPfbEhRynZ7dFeHz93Ywq8LFT19TZ/3d7pEpiZ3d3Rth1hdPfslMjm882s+q3sLJJeRWCbk12kczVgLL51Q5c6aP82f7aS13cufmOL96tp/moE57OItDxQKaIbeKS1fojeb48hnVnNjiZ1V3nO8+McBwIofPofKJk6sZSMFvnuklZ5jNBV9d3oSRSfKBO7rH9qnwuytm0jEYY1c4w6PbY6zqTRFyq5S7NXpjWctLW8UEY4dzoHZpJvM/4NZZ25vE74Abr57Fk+0J/rVmmM0DkyfAXJrCvConi+t9LK7zsqjWi5YrTAjDWIE5k+P29SPc8NIA4ZR5r0NuFaeqMBDPlSzsV3k1ljX4OK/Nw/xqdwGIKH4WYuk8m0cMnt81yqreJNuHCxNWqgJt5U6aQk4e3xEjmzc4Y6aPT5xUiW9sseN0Oi1VCbt/pV3yVYoPV924hYFYlq+fVcOpsyutcaAnkuEDd3SRycMXTqvmpBZvQVL8yV1x/r0+zGYbM+z4Zh9XLC7niBrnfgO1SCrHn18Z4d7NUQzMJoO3HBni4vkhMPavbaJUp7YAdZ/PbNwplm6zxxtvaiecynPGTC+fOrl6v45hX2Myn6LD7Tve1NREKBQ6bPs71DHVMdVUP/+pHn19ffT19RX8bm8wnxR8pMhtL5Lavy8FIGE57ok5PlkUswdK/T2TyRSwK2VOE3aSfZx0u92WhQiMMyLsCTBp5Cs+TilwCqs7kUgUjMOlLIjsKk3C9L5lXYS/rx61CsQKcHyLj8+cVoffqU5gqcfjcb735BArtkdYUuviW+eMe3FLyD2x+11OFruz4ZhMZl2KfKKMIue1cSDFJ+/twedU+debZ5NJj7OJJanbPZLgOyt6WdVtfufU1gBNZTovdcbYNJDeLT6UIvkpM0ypyA/e2Y1TU/jHVc04ioqh0swmrKviRga5z/KzqAWVkmL3er2MRGK0RwxWd0fZOJBi40CavhKKVD6nyoJqc/2xuN7H3EoXZR7dWmMNRlP0RLMMpVR2DcXpi+fpCqfojeb2ivVtypdqbB0ylaHOmeXjooXlNAZduJWM5e0IE+2lusMpvvloH9uGM+gqfOj4SpaPKTXl83k+eW8vm4fGn7c3HBGkI5zl8Z1jz62mcO35tcwqd1nYUZpJBD+l02nWDWb5zXMDFr6u9Oq845hqzptbxvM7h/nyg+aaQgHOmOll00CaTpvFVWNA54L5IU5vcVNua0i2r2HX9yV5cPMIj22LMJwcHwsqPBqnzvByWqvPaszYlzjYft3F62jAar6ZDA9/7eE+XuhK8KHjKrhg7kQ7o4Mdk0mWHk4VIpiWUv9fi+lrMHXDMAy2b9++X0UQ+zgphJFSxWTBFWIVs79Mb2HwTtYQJeOjkH4ET0nBXZpD5ZhF9j0Wi/FcR5xvPGqqMf36shbaqsxGTJ/PZ+Y4J/EoF7yiaRqxZIrtg0m2j2Roj+TZ0h9n+3DGIshMFvqYb/drl1TRVuG2pNyLC++CW/fUFCa4cne4PZHJMxDPEclp7BqMcdfGCNvHWNplLpVMziC+F+xwMAu3ecMoaEisDziYUabjc6okcgr90Qx9sSyjyT3nljwOlRqfhltX2DmSIZk1UIBz2ny8aWmISo9mqfV4vd6Sljw+n8kCl3tXrDLgdLn57qOdPLQ1Sq1f57eXt+B1mUVM+/ak4aK4CCy4KplM4na7WbE9yjceMhnXHzu5luMbXNyyPsrt64atAnlbhZM6v8ZLXcndMu/LXCo5A6LpfEHz41WLg7xpaQi1aO61NznLOzCazPGp+3rpjmRYWO3ih5e0kk1NtLWKxBJ85v4eNg+mmVfl5Lvn1hVYIQo+F+a44Egh7YnSqt1aS1GUCYo5UrS3K1FMhqsmWw/ZWdOGYeyzdcLexIEUhHen3iVNvXLsB8Ou8WBFqeOellI/sJgujE8S02Bzakc+n2doaIj+/n5LfkSkRYoHHHuiTwriIjEjUpl2v7tSDJFEIrFXHrayH5moRPJSBuqBWJZ339ZJNg/XnlfH4jpvyQksmzfYMWzKGm4ZyvBCe5SB+MQFuqrAzHIX5W6F0ZTBlsGUlVQqd2ucN8fPeW0+rn1ykHX9KS5bVM77j62wrlU6nWbXUJyvPtJPVzhDmVvjq2fWsLSpzAJ9K3sSfPFBkzX+16vbqPLp1gSUy+VY3xPlY3d3U+7W+MuVTdax2T0n93aisoPNVDbPYzti3L6hUC4dmCCrM6/KyflzAiyfVwHZ8aTWR+/uZttQmiNq3azuTXLu7AAht8I/14StzyjAzW+cyQPbYvzmWZNdXunVWFLvYWVXwmKQODXT3y+Th/Q+eAXtT+xO/rzUZ1tDDmaVO9g6kmXHcJplDV5OanLxi+eGmRFycP0VM3l0yzDfeqyf+dUuvn+e2cDgdrvpj+e4fc0A926OFDRaFDNmJFpCDo6o8zGnXGNBtYvmkKtA7nIkmuTWDWFuXR+x2D0Lq12c0uJh01CGVT3JAglVCV2FlpCTU2cGOW+Wh6BroneiHWSMJnOs7U+zpi/Ny91x2kcKi6IKML/KyVFNPpbVe2kLaTg0ZUJXZPECR7qrv/twO/dtiVqMFSkOfOneXTzdHufIOjf/7+waKyFqBz+GYbCuP8W/14d5tj1h3cuZ5Q4uX1DG2XNCuJ3jnjcik7s3sWkgxXXPDbFlLHk7u8LF+48tZ3717jteS0XxuduLGpMxf+xxyQ07yRvwwWPLec28wzMPT7ZwPdyyl/X19VRWVh62/R3qmOqYaqqf/3SYiZ7+/n6LOS7SgXaGsIQ0Boq0nbBgxK5HmOJSbCwes/Yk0V78WUlmSLNhOp2eFI/uqaDj8Xgs/0D5nBR7AauQLlYqdva73U9ams0Ed/v9plWKJB39fj+pVMpK4MjxS0hBXebi3zzbz7/WDlnYTlXgtFYvHz6+0vJSloRx50iSd/9rJ+mcwedOHZdsLBV7SnZK8VjUoYSNVSoxZJ8jSzUM/HPNKH9+ZYSTZ/j4/KlV1v0VJRZpvo3FE9y4Osw/Vo8AZlPf506rwudUWdWb5tmOBI9si0zYvz3K3SrDyTzzq5xc99q2CWsXv99vrUPsTCuxjLGrANklIktJ5hc3CksCri+SYkcE1vclWdMdZfNguiQD3q0rOFSFZDa/RxaUS1NoCDqp8ak0ljmp9qrU+R3U+XXqArrVAHDbhjC/fWEYn0PlFxfXU+U1GTPFagWS9H+5fZRvPdbHSDJPmUvli6dXs7QxYDYL5A3+8NIwt22YeM0DToVI2rBwuc+p8unT6jmmztyfNEcYhsH6rlH++MoIL3SO2Qg4FK5cVMZVR9bgcag8sGGA7z4+gIGJsb/3mmaW1JmFgnX9KR7YGuXxHXHrGqoKHNvoYXmbn2MaPQWJVYlc3mDtgCm3/viOSAFjrd6vc1qrWSSfEZqorFAqDiZTunhbe8tGf9e/O+iN5fjOubUsrjlw66A9RalxeG/W/Ac75s2bZ8kI/7fHNKaavgZTPQzDIBqN0tvbW9AMWUo9A8YxhfxdVdWCgpXkMO0FOwlpmLIX0ScLVVWtJispgpVib9s/D+x2PBS8IWxuu/XL5X/dRiJrcGyjh2suaLGaLktJwbcPROiKK2wZTLKlP87O0Szto+mSzGBhgc8sd9AactJW6WZ2lZsbVg5z14ZxT+lZFS7edVSIZQ3ekjLJgrHttjy7C03TLInxyUJyy4qi8KeXh/jbStNO8Zw2Hx8+uYHu4RgD8Sz9sRzhjELXaNKSbh+IZ/eaee53qlR6NSo8Gn6XjoaZd05lTIWdcCpPfyxb0hqnOBwq1AUc1Ph0anwa9UEXlR6FGp9OrU8j5NEIjN1nVVWtZ9Du45zJZMgb8PsXBzl3lodZNcEJhVaxP5X8vZ2xL8+gXcXoH6tH+cvKEVQFrjm/maMaPHSPJrlx1Qj3bw5bz8bpM/2oqsIjW00cV+/XmRFy0BnJ0hnOlHyGJGp8GpfMCzCv2kVryElF0FeACdxuN6lsjk/f1c66/hT1AQc/vrARv2Oix7fX6+UnKzq4bUMEv1PlZxc20FThRdM0q/ZQao0mSrUwrsglWLb4nZY1qFgU2htAReWzeB/7WpS139cDLZgfSEF4d03WB7rtQxmlFD0P97F6vV5mzZp12PZ3qGO6MD5JTIPN6QDTf2ZwcJCBgQFL8kdYCZJAE5AmoaqqVUQRgLQnv0bxyLN73k0W9kRAKanmnzw9wANbY5zQ5OFLZ9RgGAY90SybBtJsGkyxaTDN1qH0pMXXljIH588rY0GNh2Y/uHXVmjQGYlnu2xLl3s1Ri0GgKjC/ysW6/hS6Cr+9tJHmSr/p1T6Y4muP9DOSzFEfcPDtcxuoDxQmVQ3D4AsP9rG6N8mFc/184LjxYpDH46FrOM5bbt6FqsCtb2yxOu72VzZlJK1w69oh7tsctbpBHarJuOiLZi3msQKcOsPLlYvLmFfjs+5hLBZjMJHjpd4cP3+6DwXQxgrp1V6NnGEQTuUn9as5mKGCdbw+Bzg1FQNT+ieTM/bKU2hfQ5J3155byxce7CWTN+VG1/Yn+fXzw5zU4uULp5nsXq/Xi6qqJpBF4cntYW5fN8wrPePgK+hSqfZqxDLmc1ocZW6N+VVOFta4mV/lZG6Vm4DXTTRt8Ofne7hzU8R6lo9r9vHGxQFayhw8tC3KYzvibB1Kl7wOfqfK/Go3y+eWccasAA5t3DtJWDnS7KLrOmv7U3zxvg4SGaNAGUDCqSksrvWwuMbJsS1ltPgNfF5PAdC0g5in2+N867F+6gM6v73UlKF5qSvBVx42JVx/dVkLsyo96Lo+QQbKHl2RDLetj/Dg1qiV7KzwaFw0L8AFc/wEXGbH9b6wU3J5g/u2RPnTKyPW4um82X7etixE0KXt4du2azIGqmWsLAZru1tc90ezvONWs4v3d5c1UuvXS37uYMdk48qByDTtT1RXV1NbW3vY9neoY6pjqql+/tMxHslkkr6+PlKplMW0lYRZKWaNSJEbhoHL5bIK5XsakyQZt6dxq7hhScblfSna2OU0pWBvL37K/GM/5uLxX1EU6/ztiV3BvJLUsUvZSdNqKWnMUgmCdDbPr18a5QFbsktTTD/E9x1XiWLbxg0rR/jb6lGqvRq/vKTBKp4Xx/4W+kQ23d5wa2/AKvb/BPjig72s7Eny/mMreN2RNQCWnLidWSzX4sWuBN9+uJNwKo/XofDREyo5e24Fmqbx0xUd3LohQrVXoznkYmV3vGSzIpiSmGfO9HHqDB/NZWZhTe6xHHOxxZM9CSfypdKsIAwwezHdbhU1ksjSFU7TE83SE8nSE81Y/x6I5/aqsdPrUKjxOWgp0zmyKUCz35RBrwt5LRaN7FcaK+wysbm8wafv62HTYJoTmz188fSa8W0XHe8DW8L87OkBMnloq3DxjeWN1AXNppXBWIb/91AnK8cY/FcuCnLu3BCfvLuDyJh9jQJ87tQqblkXtnziz5/j591Hl1MVCrKjd4S/r41y36ZRq+h9wdwAVx9RRn25n0Qiwd0bw1z3vJkcd6jwwwvqmWmzAZB3JZk1eGxHlDvXDrFhYDyBH3KrnDXLz/I2v3WPiyOTM3ipK8FjO2I815kosNZqDTk4rdXHaa1e6vyTF18PRH3H7o1rZ9DbY0+JwWQ2z5V/bwfgxtc17ROm3d84EPn4gxmzZ8+2CgL/7TGNqaavwXSYYRgGkUiE3t5eC0/YSTeTMWcBq7Fub9QrpZBeSuGnOIqLkKL6s7chzXRAAT4uLlglEgl+8OQAD2+Loqtw6xtnmN/J5mkfzbArkmfHSIatg0m2DaWsObc4gi6Vtko3rSEHM8udzKnxUevO49QKm8VcLhfJZJKvPdLHi13JArntE5q9vPPoCpqCjkk9zvc29vV792yK8Mvnh8gbcHSDhy+cUYtLNSbgU2mcGBiNMhg3VXSkWL5zJMPGgRSDe4mxJPxOlQqPStCl4dIU02pFUUhl83RHMvTH9m57DhVT+n1Mqr3Gp1HpgpYqP0EtS5XPgdOhW6pV0mwhjaHFz7B93t3dc60oCj9+ZogHNofxOVR+dFETreVmE0n7SJrfP99rqfqoChxR62bDQJJU1sRNnzq5iqNmlLOhO8y2oRQbB7M8si08aR5YwcTUIsU+q9xsvvjTK6M8sj2Gz6Hwi8tnUuvBaqYV5VmAp3fF+NJ9Job56ll1HNtgElfs6yf7uZZ6b6UwLs3ZQqSRKMYskzXyCRFO07Q92krtTRyu96XUd6X5vJSUvyip/afEZDaXhztX6XK5mDNnzmHb36GO6cL4JDENNqfDHqlUih07dhQwXaTzUroSxX9DuvyExWL3xN5dyGBmZweU6p6yJ868Xu8EWcL1fUk+fX8vYPopto9mLO9ge/idKnMqncyrcrGw1ktfJMXPnx3C71T53WWNVAZN1ock2eyspmze4KW+HLevHeaV7sIJZEG1i2+e28imgSTfeKh7zPvayfcubCXonOj1BrCqJ8kXHuy1CutNFT5LziUSS3DZjabn+w1XNlHm1iaAoD2FYRis7Utx+8YIz7THLRDr1RVQsKTIwQRm2fw4o1pTsIrNhypUxfxPGduPJCe9DpNBnjnEDPJ9iWMbPTzfmeDsWT4yhsKK7VEuWxBAVxVuXhvmkvkB3nuMKYkvwEvXdUtiJ51Os2s4yYPbk9yzcYToWOFVU+CYRg9zKp2k8ypreuJsHkpPOHddNWWNjqg3WeW1Pp37tkS5f0vUum6nzvDxjmOraa0wE8894RS3rhvm2V0xOiPZCfdSAap9GkfWe7h0UTkzAuPsMfn+J+7qoD+eY06lix9c1MJoMsfzO0dZ2ZNgVW9qgu2A16GyqMbFMc0Bjqhx0RRQ8PvGWWfxdI7L/ryJbB5+fUkDtX6dD9/ZRUc4y6XzA7xn7BruLdiLpHLcsznKnRsjFmPepSmc0+bn0gUBZlb595nxPJLM8YeXhnlomzm+BF0qb18W4pw2/wRJqOIQgLknoDzZ+d2zOcIvnh1CAe5484x9Ou4DicmO53CDzYqKChoaDo+v+uGIqY6ppvr5T0dhGIbByMgInZ1m84+dNSvFbCk2y8/i12jHlntalrlcLuvzktgoZoMXy0HbWQelQgqgkqyxN2fax0k5J/HNE4UQYYHLsct4K0xcOS8pDAvGFsk/+Z54JItXZnFIkd+eLJPkz1A4zk+eHeKpnTEL6zk1hauWlPO6BT6ThZ/N84E7uuiP5XjDEWW8aWlo0uvs8/ksjCzHsrcqIzJXShOhfEfusdyTSDzJ1f9sJ5OH317WzKxqszFW1h/JZLKAHePz+chms3QOxfjeEwOs6ze3e+HcAO8/oYaRWIp339pJKmfwtTNrOLqljBd2jbK6P8PTO8N0R0o38lZ6NM6ZU8YZM9zMrQtarC255tK8YH827RKpqVQKRXPQMRxnIGnQOZKiL56nc9SUQO+N5vbo9e3SFeoDDhqCTiq95vMbT+cZSOTZPpSkhAAWtX4H86qcLKjxMKdcp63CicuhWaoFUOhHqSgK3QmF992ynZwBXz6zjjNmhwoUrdKZLH94aYhb1prssRObPXzipCo8DhNDru9P8p3HBxiM5/A4FD55Sg2nzQxioPCV+3bxbOd44tGpKXz5rHpWdkW5ZW0YA9PHckm9j4e2hK0G0FNm+HjXsdU0BMwEsdfr5Y8v9PHnlwYBE3v+7ML63TYTSrJ810iaB7fGeHh7tIDxtaDaxfI2P6fO8FrnUhypHDyzK8ZjO2K81J2YoLJ1eqvZSGGXaocDKxKLBc+e5GilwbVUbBlM8fF7egi5Vf56ZfN+Hce+xuG24pksWltb8fv9r/ZhHJSYxlTT12A6CiOXy9HV1cXoqDkfCbPT7XZbDZWCpQALWzkcjgmqLZOF4Ei7PLIoxNjn/OJi+57UHe3sUcERpfCtzF12VaSVu4b5xH1m3nNOpZNUDjp2wwJvLnPSGtJpq/Qwp9pLgzdPhUezmjNL2b1IuFymimF/JMlH7uxmOJljVoWLncMpcoaZy7poXoA3HFFGZdA7qS3R3oTf7yebzVrXzc6aLhXPdcT57uMDpHIGsytdfOeCFip9DotBXGxFVMxgF4w8FE1x18YRbl03wnBiPEfXWu6kocxFPJ2jP5phIJ4tyJ/uLuwNBH6nQnOZEwWFRDZPOJVjOJHbY55VU6BqjF1e49dpKHNT69cpd5qWji1VAYz8uL2oPCN7UiRwOBwYqsan79rF6p4EdX4HP72kGa+as9ZH20cy/HXlKM+2m8+FrppYK5zKowBvWFLGVYvL0FSzOXXXSJpP3NVBJJ2nKeigP5ohld87xc5TZng5dVYZjT5oDjrMRoOx6Itm+ejd3UTTeStXKB7iotQlqjDiES4WR3Yvc/vaSiwgpclWCunSLCq/3937e7AwzqtRGPf5fKTT6d02OB9u1cg9xWQN2Yc7V6lpGgsWLDhs+zvUccgK41/72tf4+te/XvC72tpaenp6rL///e9/p729HafTydFHH823vvUtjj/++N1u98c//jG//OUv2bVrF1VVVVx55ZVcc801BR2w1113Hddeey3d3d0sWrSIH//4x5x66ql7e+jANNicDjNisRi9vb0FiTuXy1UAmETOpjgxKL8vJZ9eHAJSS4EnRVGsSUySi3Y58J3hPOt742waTLNpME13ZOJAqaswu9LNghoPs0IqcytdzKouLJS5PR7eddM2do6keccx1bzpyIoJbB4Bt/YieW9C5fb1w9yzcYT02OFrmExmA1jW4OXzp1TidY4XG8XvxB6fu7+HNX0pLlkY4kPHVxUM+Ff/s51oOs+vL2tmTo3fYuGnUinSuRztI1l2jqbpieXpjWboj2QZTeWIpnJEMgaZ3OH13f5PDlUxC6a5vEEpJaVqn07/mK/j6xcFOWWGl+aqIC41j4rBttE8H/z3djQFPnJiNT9+qp+QW2VJrZsVO+O886gQr11YBlCw4JIoYNo43Ty8eYTb1w+zcWAcUDWXObhkUQUnNjjoiWRZ359ifX+Kdf3JknJNtX6dtko3A9E0mwdND01VgbNm+XjjESFmVAesxG00GuWVnhT3b4mypq/09hyqKel++qwyjqnT+faKATrCWZqCOj++eAZlbq3g3XE6nWzpi7JhOM9LnTFe6YpbBX+JoEtlSZ2Ho5v8LGv0Ue9T+ey9nbzSneC9x5STN+D6F4cpc6n8+tJG/E615PXbU2RyBit2xrh1fdjySVeAk1r9XDLXx8Jq1157DMqYs6YvyS+fG2LnmOXA/CoXHzyuglkVk0tn7i1IFUZ+McD74ZP9PLw9TsCp8rfXH57kJUx+3NO+PQcWBwNT/TfjymlMOR0SAwMDDA0NWUkEt9td4I8nmE/wlzAFJBkp4+Wekm27WyDbk5CliuUy3hV/rni/Pp/pRW33pJR/S4FKmJ3ys/2YHA6HxdYVlvruWOuyP7vnZHEB3B6i4CSJVnsoisJwMs/3n+jnle7xY/LoCm9bFuKieUGe3BXjmhUDOFSFX15Sv1smrCROhIkl91eYuuLFPVnYm2OLrxPAhmGDT921i0qvxo1XzbQaHqQoLvLjwqC3r01yeYO/rhzhprWmzU9bhZPPnVrF3Zui/Ht9mLmVTn5wfh2aZnpAvtw+wqfv68WlKRxR62JVb6qkylSZW+OYBjeXzg8yq8JZ4BWaNDS29UUYTqt0hdN0hdNW8XswvuckaKVXMxne9v8COjOrg5S5Chs35Nrruo6qaXSEs7zSPjrmVZ5i50hmwhpAmiznV7tZWOtlXqWTpnKP9ZxLUvBPLw/x91UjlLtN5QC/c4w9ojr45oOdPNdhPldXH1HGG5eUoY4Vzu/aFOX6F03p/uYyB184rZqZYypA33mkgwe3xnCocE6bn3s3R63ju2x+gCPr3XzvicGCBoGF1S7edXQ5C2o8VjHf6XTysyd7uWOjeV/LXCp/unoOem7yBGbxmhXMZufnOxPcvyXKi10J6964dYVTZ3hZ3uZnQQnsKEWSSCrHk7virNgRY3XvuOWWsKtOb/VyUrMXv0s7ICy1t8nX3SUxH94W5YdPDXJErYtrltft13HsawiWLo7DLafe3NxMWVnZYdvfoYypjilhGldOhxlSEI9EIgVMZbvcsZ0hDuMNSjJW2pvCdhe7w5X2Zs5SmEv2ZVcYKlVUl0KfHePl83mTgRxX2NQXY/twml3hHNsGk5N6gQfdmskADzmYU+2lrcpTkgVutymyW/dN1iAq1/LFzjifuXsXAO8/toIXuxI8P2ZzEnCpvO2oKi5ZVEE6OfF67U2DmGBnwbHShCDWR5IHtc8tmwZSfP2RPkZTeWp8Gl8/q5bmMseEawpmTtvtdlty83IfhHyUyuR4ePMQt2+IsnFg/FiPrHNz6YIgRze4SedV+iIpIjmdzuEY/bEcg/EcQymDvkia/niWxF4Wz70OhYBTxeNQ0VUTR6XzEEvnGUnuGTOqClR5dWr9DmoDOnUBJ7V+B/VBJ0E9S7VXx6GVzn+53W76RmN88t4euiNZFlS7+NY5tTjHLBLlPVrVFeXPr4ywps98LjQVcmOP39I6N586uYpyj7nuWd+f5LP3mM2np7X66RhNsW04g6bAJQvKKHcrbBvKsKYvyUC89HrOocKMkMksbwnp3L8lxq7RDPOq3XznnBrLwlEsE+3v52QWLvbnSlSSikl3shYDLMn13eE2u0LUgcT+Nk7ub+F6XxS//pMk1Sc731dDnWjRokV7nVf+T49DWhi/+eabefDBB63faZpGdbUpsXvjjTdSU1PDrFmzSCQS/OhHP+Kmm25iy5Yt1meK44YbbuBd73oXv//97znppJPYtGkTb3/727nqqqv40Y9+BMA//vEP3vKWt3Dddddx8skn8+tf/5rrr7+edevW7VOSeRpsTgfAzp07iUTGPeG8Xq8laSmvQ6nJwN6NtbtBSpi0uq7vcbB1ezxs6h5ly0jOKoTvGE6XlD6s9mn0x3IowJfOqOaoeg9lAd8E2Tl7ksHhcPD4zjjffLgLv1Plb2+cjZbPlEyWCqvJLiOfUxx85I5d7CryYp5ToXPenCAnzgig6w5SOYNUNk8ikyMaT5nyz5qD9b1x/rl6GAWYU+kgnVeIpXIks4YFevfFG/vVCIdqdjRm8qX9sw9FuDSFeVVOgm4dv0Oh3O8i4NQIuFUe3zrKc50J3LrCH17fhp5LoSnws2eHeGR74TPrdSi895gKzp7l44ZVo/x99SjlHo0/vb4NNTc++Xq9Xj522zZW96a4eF6Ax3bECKfyzChzsHM0w6dPqeL0VpMZXbwQkwWTPFOqqlrNFht7Y9y9KcwDm0cteUaXpnBaq4+LFpQxp8JkvA0kDNb0JljTE2N9X4ptQ6kJz4S9M1VTYHmbn7csq6Dco01IQiWzect3cdtwukAa0h5OTeFdR4d47RHVBSw+SezHYjHr/dAdTjb1RVk3mOPlzhiruuMT5NwrPBoVXp0tgynmVznZNZohnjH46AkVnDs7YEmi7s3YUCoMw2BVb5J/r4vwQtc4MJ5T6eTyBUFObvEWdKGWCjvwyuYN7tgQ4cZVIySyBqpiMs/evDSEzzmRUbQv0u2lwOZH7+pi23CGWeUOfnrh4WNOT7boP9yA2OfzMXPmzMO2v0MdByuJ+d+KK6cx5XSAmQTcsGFDQRKw2LPY7scsIb+Tgt3uiuLSfOh0OvfYOS5jvH1883q9pv1JPr/H4vuemt98YyopwhwvZQ0irAaR+5Q5RxoEACsJWIy1BT/YFWnEu1wsiuzHVswMkPPvDKf5wVNDbLJJS5e5VN57TDn3b42xsifJKa1+vnZO46R4vniOsDNyhF0vrPC9+X5x/PHlYW5eG+bsNj//d2Jlwd/sHutOp9NKkGUymYIC/bO7ovzwqQFLWv1dR5Xz/9k77/i4yivvf2+ZPqNeLdly7xgwmN47IZSEkt43hc2+aSTZbMqmh2w2PRuyS8qmJ5AQCL13m9CNjXu31dtImj5zy/vH1bm6MxrJMgg2xDp89DEazdy59XnOc86vXP9MnJxp88UzG1jT4uRsN2xK8JvnBzmlLcJnTq1D8/nZ0pth7Z4Ej+9L0pMaf1/oKsQCGgEVRvLWQZlEAU2hKeY0vFuqgtQHYU5thBq/U9ANTCBdXzpHl/7u8/mK2C+KopDMGmzty7C1L8vmngxb+7MMlwFFVoc0ltYFWDyqpnXk7CqMQo4P39ZB+3CB1y+t4hOnNbOnL8mXHuzmwHABv6bwsRNrOW00780aFj/25NinzAnzb2fPxi44980vnovzl80jqAr822n1nDg7zL6Exafu7HAb4fqocpU3jmsJ8anTm6kK6a5Sw7fXDfLwqFd8Q0TjF1fOR8eaMPeSNd9k+dlA2uDB3Snu25WkMzH2ntYKnXMXRDlrftRlgZdrVA+kDR4fbZJ7Aa+66ki8nru4mqMatAmtCSaKQyl8ig9muedJnqNS667/iziUPHk6orm5mdra/9tjnq443HPK6ToHM/Haj3g87qoPQTFIT+ZGUQ8qrYGUywHLRTjsqEiapjnpmOUd06Tp5JVbPtg62u/3k8vlGMor7OxLs2eowN54nj1DhQl9nFXFIR8I0eHTp9azot7PrGpHfdILEJB82yshXc4TXGxuLMsqAhNIA0he++X6Ef78YpyKgKPU0pG0+Z+n+lwiwZwqP1ef0MgRdWPzndSFBdTpBXqWOx+lc6wABUTVsBRY0JUo8MUHe+lMGET9Kp8/o56VDRNbaHjtmkrPQzqdxrZt9iQUbnyhn3X7U+41aInpXL6qltNm+6mpiLrXVuT7JVdO5y0Spk57PMWOwQJ3bB0mPnqtIj4V07LITpFUH/IpRHwqAV1BwcmTsoZFIm+5DeqJQsHJ8Rqjjsd5Q0SnMapTH9Fpq40Q0xxP9k/e000yb3FaW5hPnVLnrr/kvKuqylP7E/z8mT529BffO1VBlX87zVFgAli7Z4QvP9iFZcMblsXoT5uuLPsbVlRz6twI/3p3BwXT5oy5YVY1Bdk3YrGjL8OeofyEoIK6sMaS+iBzK3Xm1ziN87qwVmRbJNcinU4XrSvlmZf+hdxHhmG494Csq0zTdLc5URtQxobpYFS/1JzopX7uUGp7sjZ+qT7o0xkT1Sr/L9SJli5d6qomv9bjFW2M33LLLaxfv/6QduT+++/n7LPPLvuef/mXf2HLli088MAD7mvXXHMNTz31FI899hgAxx9/PKtXr+YnP/mJ+55ly5Zx2WWXce21105192eSzZnAMAy2bds2Tg7QNE0XWSkDqkgWSgImTa3JBtDSJFWKgzKwp2wfGzsSbO3LsL0/x87BQll5waqgyvLGMAuqdJbU+VlYGyDqV/nsfd1s6Mlx6dIYHz6pqaholso47I+cYaEFQmQLFqlsHlPR+PoD7fSnTU6ZE+b4tgqS2Rx5wyZn2liKRipbcD5r2pi2Sjrv/J4tWHQkpi6r838ZYZ9CzWhyFPWpBPw6tm2h4PjiFAwTRdXImxb74zn2D48WUTWF6qDKQNZ6ReXNdRWObA7RFPPTHPPTEHJQoH/ePFLkKw7wuzcvoCnmcwuAIjdaKBT4/hOD3L8rQWVQ5ca3zOep/SP8+MnBcV7ea1rDfPL0WUQUx7dH0Xy8/y976Rgp8PqllXziNKcxKajBv+0b4bP3dBDUncb1vTuTBHWFrGHzH+c1smI0AZfFhSzQBI3r9XHxAkcURcHS/Ny5uZ87tyfchQXAwho/Fy6Kcvq8CEFddZ89U/WxqTvFi91ptvTl2NqfK5tIKsD8ah/nL4qyujlEY1Qvi3DrGMlz9840Tx5I0llGSlTBKUCumR3j0hXVtETGPHYEIe0FxgDo/gCbu1Os70qzsSfHi93pcR7l4Czs3n9MNUc2BWmtq5iytNnB4sBwgVu2jPDgnpR739ZHNC5ZUsF5C6NlG9tQPvHqTxv8/Nm4m9hXBzXee0wVZ8yNuOfzUPfZ6xUl8ZYbD5DIW5w1L8wnTi4uQAkLURa008m4maj4+mo3xn0+H0uWLHnVvu+VjukqYr5W88qZnHImYOICpqIobmNYVVXy+TzRaNRtTktBxiuBWS7KeTB6FY/8fn/Zv3sX0yIVfTBJNvl7aUHC6w0p/tHehrZ3uzJvSp7sZceXi1KGpVeu3Vv4LFeA9R6jF+TpBYzuHjL41qM9tI+MHU9NSHPZKt963WyObg6NK7bK93p/l+unKIr7usyR5ZrrBzvfH7+rix0DeT51agPnLqocV/wQ9RVh/5RGMBjEtm0GMxZfvv8Am3tzXLGiAlXTuXHDIItq/Hz3wiYUReGz9/exoTvNh45v4IimEF2JAvsH03QnDEf2fCTvKgtNFmGfQluVn9aqAM1RnfqwSktlgDk1YWrCjvKBSPdLwV3+f6LwWlQJO15yCK83vVdy38vAl/uxJ2mwe8RmY2eSrf05dg+OBxqrCrRV+WgI6zw5ygS7+vh6frd+kJGcSV1Y4/On17Ow1gFwdCUKfOPRPvbEC6gKvPvoat6wLEYwGCSXy/HnTcP88vkhAD56Yi2XHtHg3kfru7J87ZHeInDmm1bVUBVU+MUzgxQsm5qQxjUn13JEQ4B/f2jAtbKaW+3n+xc2UhGNTjg2eNV5psKSsW2bTX057tuZ5PF9aQfEPHpOjmsJce6CKMfNjhDwT2wV1p0o8Oi+NI/sTRXl80Fd4fjWEKfNjbC6OTQhi8sbh8KEkfNdTo3oqw/38mR7hg+tqeH1S2Lu6wKkKafW8HJiIra4fOerWcSsq6ujqenVYcm/0nG455Te/ZnJKw/v2Lt3bxHg0JvfZLNZt9kszWmpEwkrWvKTcmORMExlXSzsZS8rtVRmWcY1r3evt87jravmDIv9wwX2xPPsHTLYN1xg10BunOqeREVAcxqBNX7mVDg+zXNrAugKXPrbvRg2nLeogo+eUON+z2S5Vbl5RRi4osYTDAbd2m7pWK4Hgnz4L3vYFc9zVHOIb5zXjM/n55aNvfxm/ZBrZbm6OciHT55Fa2xMil6sb7yqQt4GdWk9QhrOArLMZDIuENbb1AQYzpp89eE+tvbn0FX45Ml1nNIWYaKYqDleCrLoTRrcti3BPTsTbr036le5eHk1580LUh9xGmSlc5sAXW3bxkLl18/184f1/Vg2NER0PnZqEzV+GCoodAymXN/zwSz0JvP0p4xxBJOJIqgphAMquqJgY5M3IZU3J/T89kZ1SCPqV2kfdlSGjpsd4ZKllTRXBqnQCq61jDDwH9k1zG9eGOLA8FieoQBvOaKSN6+qJBQMctumfn74t0EAPnBsNemCxW9fcOwOBAR5UluUL5/biqaO5bCWbTt5ajzP2n1pHt03eQ0qFlBZUBNgQW2QuVU6cyt1FjXG8Gmq+4yGQs76RXoYlmW5979YOslaRsaFyUCJ8rfpzGVeLdlyAVRPtb0pAIJD2TdZdwlwe7pioprkoTDgpysWLFjgEuFe63EoOdUhQwF27NjBrFmzCAQCHH/88XzjG99g/vz5496Xz+e5/vrrqays5Mgjj5xwe6eccgq//e1veeqppzjuuOPYvXs3d955J+9617vc7Tz77LN85jOfKfrceeedx7p16ybd11wuV3Sjj4yMHMqhzsQ/YIyMjBQNlt7kybKsokFJfPNgLOkrFApEIpFxA5RIH3oHtHTeYkP3CNsH8uyMG2zpTTNQRlYlqCssrnMk0edVqqxsjtJcGSwaqCWhe+vR9Wy4u53btyV44kCGnGGRM23ypj0lv+zH96d5fP//rWSIwhj718bxBK8J61QENSr9Cs2VQWqDNiMFjbV7R2gfGTvXPlWh4DnQyqBGc8xHSIOsCYmcwc6BPMm8NWV2d8606S7DlDnUCGhw9oIYi+pDtFQGaK0M0DWS5Zo72gH49GnNnNTqFGnkPjtxdoh9wwVXpglgVWOA5gr/hIWwoYxzPvyqwrWP9LjMEgkF+H8n1XPpitrRpKngNij/3wl1fPa+LlRslx0NTnP8uNlR5lX72RPPI/UsKebVhYunCq8PqSwuhM0mf5dwilg5rjyqkYuXVrJtoMAd20Z4ePcIOwfz/OjJQX7+XJyz5kd5/VKLxY2OV95xcyo4YW4Vtm1jmM4i6/kDw2zpy7G+K0M8a2EDu+IFrnsqDsSpDCgsbwiyrD7IsvoAC2v8VETDLI5EmFtfQWfiAJ2JNAFdYXlDiN0DWYZzznZ6Uia3bx3i9q1D+DVH5ujkOWEuX9Xg3LOjTX8vMnnVrCgrmxxUpaL5eG7/EJv6C/zxhUH3/hvJWXxnneMTObuyl1WNQda0GSyuUqgIFPs0HkrMrvTx/06o5f0nNPGXDX3csS1BX8rk58/F+f3GIc5fGOWSJRU0lHhSymLIO77UhXX+9dR6zluY4SdPDdKZMPjO2gHu3Znk6jU1zKnyHxJqUxJwYd/LeCmL4mVlUM7ChAyHw+54N10J56spazlZiCfUPwoKc7ritZJXzuSUM1EuxPtRQhrdImnnbeiK33RpIVFY2BLeRnRpLiBNb3DuZSl6CHgTij2uZZ4uBY15C6y2bRf5JgooVNd1F9xpGAY+nyPfaJpmUWFSmuVyXFI4FaCol2lSGl4/aDk+kVf3Fm5Lx005VqAIhCUelVLkml8Fv7xqAU/tH+b76/rpTRoMZsZyvu8+1s3/XDILTXG+x8uUEKa27IPkOlKIknXBREUYYRCVm4OSOZOdA85xr6z3FRWdJbyNYK+nopxLkeuPqPDt183mtk2DnD0/Qmcabn5xkB2Deb7xSB8WsKHbuVb//WRv2X2VENZ3WFcYydv0pwy3gQqQLths6csxmDEJtYY4aV4tC2oC5LJZTFMpAg+LZ3w5ZQAJuc+keSmeoJlMxp0zRV3AC5QQ8ITcI5FIhCYlzfzGMCe1OM9HzrBoTyls7c/xYmeSbQM5epMGe+IF15YG4CdP9gGO1Pu7j6pyvbyfbk/z7XUDpPIWVUGVT59Sz5HNzr2lqip3bRtrin/w+AYuXBIjk8nQnVG5/sn+Iu9KKeDesGGQdxxVzXcvbOY/HuulfcTgc/f3UhV0wBoAq5pCXHtuo3ucEzUBvCoUU5E9VBSFlQ1BVjYE+eCxFo/uc1jk2/rz/K09w9/aM1QHBzlvcSVntgVprRxvM9AU83HVykquWlnJ3nieR/ameGxfmu6kwSN70zyyN03Ur3LSnDCnzw2zsiFYVsnI5/MdkjykFDy96wsJATrP8eyvqqoYhuGy8GS8m458cLLG+KstP/lqek++VuK1klPCTF45E+PDMIxxKjxyjwgRwSu/7a1VynggeZ03pH4heaiEMKgjkQiZTMYFswGuBLe8T8Y9yYO6R3Ls7M+wayDLviGDPfE87SOTeYH7WFgXoq3SsctrjSq01EQxTdNt9jvzvI2u+zi6JcLT7Ske25vkoyfUuPsz2bhXbmyWPFhyiGw266oNed8vzeRPnVLHx+7qYn1Xhhs3DHLFikouP7KR85bW8uune/jr1hGe68ry/pt28/qlVbxpRZTKoFkEiJX5TQB+QnDx5i0CULBtm2Aw6ALAyjXDKoMaXz+nge89EefxfUm++Vg//5Q2uWxZ+WaP1GDEp1oin8+7yk2RSIS2kMWHqkO8ZVUlD+xOcdvWBJ2JAn9YP8ANL8DJc8JcurSC1W3hcXUZ7xz+lhURjqzX+M66AXqSBp+7u503rqjgn45vYk1rxH2v2EqpqkpB0elPGbQPphjKQfdIjr60QTxr05c06E0VyBo2WdMmO4E0uURAU/Driks2yhZsCpZNPOP4nUs8dSDFUwfG8tGKgEpDRKcp5qMx6qMhqvPOIyvpTMHtW4foSxnYwO83DrN2f5qvndPApUc0kDJ1fv50Lz99Js4Xzmnhs2eGufahLgzLURu9anmUXDZTtHZRFYXmmA+fqvDjJ53G+uuXxHjX6jr2jZjsGsyxoy/N7sE8++I5EjmL9V2ZImson9pNW7WfeVU+5lX7mFedZcWsSlRwm+UCfhHAjAA3RMmsUCiUXZt48+xD4M4eNMqtew8WpYSkqcREFlwThdg+TJUo47XHEoXgV1rm/P+ihikAncMtDokxftddd5FOp1m8eDE9PT187WtfY+vWrWzatMmVcbr99tt585vfTDqdprm5mVtuuYU1a9ZMut0f/ehHXHPNNW5h5uqrr+a6664DoLOzk5aWFtauXctJJ53kfuYb3/gGv/rVr9i2bduE2y3nMwTMoDAP49izZ09RcaZUMl0GPCnUAONQRFKME3ZjJpMhb5jsjedHPcFzbO/Pc2B4vP+dqsC86gCL6wIsqtFZ0RRlXm0Io5B3EZrySHq9fCRBsm2bP22M89DeDAdGXj2ptnKhKWMy6N4mdECFJfUBTpwTZVGNzpwKna88MsCLvVlObovwhpW19I+kuX1bghd7HcnpOVV+kjmLobxF53Ce4dGm58sNn6oQC6hEfApBn4amOqwl03LY8SM5k5Hcwb+pnNz7JUujXL68imsf62drnzMpzq7Q+eZ5TVQGNUKhEB++ZS9b+7JEfCq3v3epez0lOQHoiid5z1/aXbbxH966gOaKoJtAwxj71jAMPnb7ATb3Zsvuk67CDy9pY0H1WEIt4A+ZxPcNpGirjbiFX6/P/D1bB/nWY71UBjXCOnQlnUTy5rfMcdkfgmqVpFrYZd4EXu5X8bYUxo8UtHw+H0MZg7u2xrlre4IuD9t9ZUOAS1fWcuq8GEYuO6F84nAebt4U596dSRe9Wxo+TWFRjZ8VTWE296TZ1JsjoCl866I5LKhwkq54wvFgfHx/ij3xQlEBWKIioLKyKcwZbUFOm1/pFvKl4O9FAhumyRW/2cFQ1qQ2pHH2okqe60ixa6BYHl4B5lX7WNUU5MjGICsagoQnYHlPFnJ986bNQ7uT3LI14aJcVcVZ0Fy2rIIldYGizwnSV2SVZJwrmDZ/2TzCDS8OkzdtNAWuXFXLFcvCU5bJ9BZxJTHvGs7yjj/tA+D3b5lPhWaWfb83UZ8uRvdEyfjB2HyvRLS1tRGLxQ7+xtdATAez5bWUV87klDNRGoZhsHXrVvf3cmxpcAoMkjOWA/yIlQ0wZfS6zD3eXNUrxSgek6WL6onY5KJwJE12r3eht0gn+YJpmm4eI+o23oayrutF9iTlWM+lsu2iHJLNZosKNMKg8eYCMj9Io77ceRVggtfP/aFdw/xobQ/DnryhPqLzn6+bTVNEdb9TfOKlyS8hKk3SwPcWQMvFRPPYuv1pvvFoH7Mrffzk4jFrEWHgTHaf9I9kGMyrdAzniljfXYkCfany0qTeqAlpzKrwMasiQH1YcdjefpOmqI+qoOoerzQABzIWf3iuh3UH0vSVAZIGdYWjZ4U5ZU6YI5sCNFaGXQClnCfxsi/N57w5qoANADfHgjGmkhSdAZddJfemFMxl21JUE5CdyNB3j2TZPWyxuTfL/TuGXanW0ogFVBKj90hblc6/n97A3IYKt5D+TLfBVx7owLLhzUfW8METmugezvDLZ/q4b1cSy3ZysAsWRXnPmiZ29o7wpQf73BxzaZ2fL57ZwM+fHeT+3WPn45hZIb58VoML0JDnSI7N60HvfZ5eDiNn31Ce+3eleHB3sui5WF4f4NyFUU6ZE3ZZVeXCtm229ed5fH+GR/cmi4AnNSGNU9rCnD43wuJaf5GdwqHsrzdfE8aOaZqYqFz8qx1YNvzm8lZXEl7eX8oenA6/xsm28Wr7QaqqyrJly/4h/CAPt5wSZvLKmRgfg4ODdHZ2ur+Xs3TJZDKubPdEkscyB0reeTDWoeRLMl8CLlhN9QXY2efUMvYNG+wezLF7MOvOkaVREVCZW+1ncX2Y1qjCsuYK2qr9mPmcO59JPiMKSpI7e0GPO/szfOAvewH4+vmtnNgWcz24J8qtSsH/8ntpXiV1NW/jWHKNSCTCzS9088O/DaIp8J/nN7G4bqyZvLt3hF8+P8Rjex0AQ8Sn8qYjKrl4SYyAT3OPrfS8y+tev2epwwjQUhrHE7VoTMvmF88P89ctDij3kqUx3re6elIrvYmAYd5cXXL6RDLF0x1p/ro1wYbusblsaX2QK1fVctq8CrTRdKCUxBAKhcgULH64tot7dzjEnXnVPq45uY7ls6qK1jmSw8k5kPMg4IBg0CGJ9Y+k6U8ZJEyd3qST43YPZx3P82SBvpRBborM8yJbRo+X+GQR0BTypu3W8BTgtHkRrjqihju2J7hz6xC6Cgtrg2zty7rfEfEpfOGcVlbWFudOpmXzb/f1sLkvx4IaPz9+wzyMXNadw931SiDInv4Mu4cKbO1OsieeZ3c8P6GKa2NEGwWdaCysDbK0MUp1wC56VmRd412zCescigEn020LMxFI+GAh96hYDJTbhtSyXyr4UcDo8llZW3vl5mVNUzr2TAaUPJSYaDx7qeft5URVVRWtra2v6ne+UvGKSamXRiqVYsGCBXz605/mE5/4hPtaV1cX/f39/PSnP+XBBx/kySefpKGhoew2Hn74Yd785jfzta99jeOPP56dO3fy0Y9+lPe///184QtfcJPNdevWceKJJ7qf+/rXv85vfvObooJUaZRDYc6ePXsm2TxMI5/Ps337dvf3chIzpU1EYfel02m3Qedla/ziuTjbBgrs6HcaU6XRGNFYXBdgWWOYpfVBFtQE0GxnkgmHwzy3u5+dQwX60hbxnE08bTCSM0nlLTIFhw1uWDaWVSy1PV2hAqrqNJD9mkJotIHcm3S8kXUV3ri8knOXVHP9kz083Z7huNYIV66IkshZ5GydwVSWnpTFi90Z9g/ni2RtfKqCaU+NzX6w0FWoCek0RTUqgxpVYT9B1SIWUIn6NaIhPznDZijlJOrxrMlAxqZjOEdf2jykffA2nU9rC9GdNNk+yuwJaPDNc5tYNJogpwsWn7ynx/Vhb4npXHtuIwDv/Isjr3rVEVW8++jqcRNbKBRiOJHiihsOuPv39XMaOLLJSVAEzSqT8+beLJ+7v8dtonv3U1Xgexc2saguVLRQ8hYbJQmXRQUUSyMFgmHe/sed9CQLrGwI8GKvI9d0z/uWugVIKXADRYVP9zqVFLPlGfNaFMgz5PP5yBcKrO/KcMe2EZ5sz7jnoSqocf7iCi5ZXkOlbhT5bXqTB9OyeXRfit++MEzPaIPdryloCmUlmmpCGse0RljRGOKIpjD1ARPVU1Dqy6nctKGf5zqzdCULlM6QCtAU1TmmJcTlq+poCNpuowDgri2DfPtxh5FVF1L53ze2oigKiZzJi705NnRn2dibZ2+8eBGrKo5X+JFNQVY1Ooz3ifw4vVFaDLVsm+c6s9yyZYT1ngXN8voAly2r4PjWUNnFU2mjvCdp8F9P9PC3/Q6Yoz6s8f5jazhxduigBbhyhcE7t41w3dNxVAVufVubKwEsLEVJNL3j63Q0ridDqEohfbpYRFOJhoaGCfOh11q8EpKPf8955UxOOROl0d/fT3d3t/u7MLO945ZIe0vIvOlFnXtZtpJrHsz3TMYvr/qLd8zUdd1FtANuPivzt3hQemWrhblSusiXv3vZ4+UW8d7XZB6Qz3oLDMJol7HXu9/SBJd9CIfDriKNFNNEUhQYJ+spIQ1z8ZSUYxZG8s0vDvDff+styt2PbA5yzYm11IT1IolL7/WUeUsYGbJvUrwQlrP3epebX37y1AB3bE/y+iUxPrSmpuhvBdMmafnY05egO2nQnTCcf5MFupMHtzcKaAoNUR8do8yttkqdfcMGJ80J86+nNRINBYqAD3KeRaq61N9Scr98Pk+qYHPntmEe2JVgXzxfFsQ6p9LH8a0hVs8KcWRLBX69mFUhaylR4RJmrzS5SxlO3vuqtEEq97EcjwCbvU1Rr2KCoijEU3m+fH87G3rGvkMBjm0JcWC4MM6aCCCgO0DLpfUBAprCDRuHMWx43ZJK3nNUJX/eNMwtW0bcxvdJs8O886gq5tWFXdaO7QvwLzfvdfO/kAa6rhY1F8I+lY+cVM95S5x7QvIj27bdpkXZaz4NUpUF0+bpjgwP7s3w1IGkm4+HdIVT2yKcuzDK0jr/pDmgadm82Jvlkb1p1u1PF8nnNsd8nD4vwilzQsyt8h/SvpUbb4LBIJu7RvjIHV3E/Co3vX2Bu96R+y0ajZLJZBxlJw9Q6eXEZLmpND5eTdDlokWLXLDBazkOt5wSZvLKmRgfu3fvLmq62LZdJHUOuE1xqYvI3GkYxrj8Csaa5JP5Cst2BzIWu+N5dvVn2DtksCeem9QLfHaln4V1QeZUaMyt8rG0KUZYKbjzrmmaZXNZYVJ7x8ty8s3v+HM78azJ4roA/3XJHLcuJuxXGMtRpfblbWJJDixsUq90fCAQcAFo2WzWrYNI/vDFew+wdn+a5pjODy+aRV1l1PVwVhSFp/cNcf1TA+yKO/s8q8LHB4+r59hmf1n7Isl9vDLpcu3kvXIcpSDVUiDcH57v5RfPDQFw0pww15xUO2ndSNYEkwG3SnPp3fE8d+5Ic//OYbe+Wx/RuWhxlPMXRokFNPczpXP0EwfS/NeTgwxnTXyawruOquKSpTG35ib3qRyzgBdEdasU8CHnqRQ8ats2qbxF0vZxYCDFQNpguKDSk8jTm8gzkLHoG2WeTyV0FTRFwbTBmELx2GuHqQAXLqlkQ1eK9hEDBXjP0VW8YXmFm3/86vk4f9o0QsincP0b51PtG8s3RWnLay3oZUHbtk1vyqQ9BTv60uwcyLEnnnfrn6UR8assrA0yv8bPoroQC2oDzK0OYpsFFxA9kX3hdDV8p3t73ka5AJ4PNq6VCwFjlDb/vfext2Eu92qpVeR0kWwm8xgXkO+rJakeDAZZuHDhq/Jdr3S8ao1xgHPPPZeFCxcWeep4Y9GiRbz3ve/l3/7t38r+/dRTT+WEE07gP//zP93Xfvvb3/KBD3yAZDLpFl/+9Kc/8YY3vMF9z0c/+lHWr1/PI488MuV9nfHtObyjp6eHvj5HLk8SzVJ5Ry8KUyYJYSiUKzh89M4udg06E3PUr7K0IcTS+iDzK1UW1wWpGZWgFgk4Kaj5/X5SqRSv/+2+aT1GBVAUJ1H1qQraaMPbrzmFsq6EQd6C5qhGQ9SHrSgYhoVh2Zi2TabgeJ+YtrOtsE/BsiFv2lOWJj9YBHWFppifdN6gN2WiKcWMc2+z16fCcbOjnDYnyLLGCGkDelMGnUNpelMGg1mFzpEcPUmD4exBJHZ0hZYKP40RjaaoTkuln4awit+n85l7Ose9X1PgbasquWtHkr5R+Z6grvDLN7QQLZHAjmdMPnF3t+vP2BjVmFPp4+mOLJoCf3rzHPxl/PYUReEHT/Rz784xyazakMqPL24h6lddGcrOgRF++Xyc+3aVl6IE+MLp9Rw/O1z0msiRliaXMumL96ewtNLpNHfvzvJf63qoDKguc+R/39DC3IZKdwFWKDgLHimyl07kpV5U8p2y+PEiEyUB1jSNeNbm1k393LU94TJOFGD1rCCXrazlhDkxfLpGNpsdl8gYls19O5P8YeOw+9nGqE7Mr7BzcOJEIuJXWdYQ5IimMAsqVZbUBQj5xgre6/ssbt88wJa+XFlmekBTWFAb4MTWEKe2hfn4Xd3Es6aLGP3JxbOYXSJHGQ6H6RhIsKEny4Zu56erJKnVVVhWH2BVY5Ajm4Isqg2U9WyczANodzzPX7eM8MjelLugaY7qXLIsxsUr6gn7x9hZXkSkN8F8sj3N9U8P0jPKEjtmVpAPramhOTZeYnOy/fn22j4e3pOmIqDy+ytnF/1NFkTeBHe6WDeTIV5lnJckt9Rf9pWIWCxGW1vbK/odr1a8UjnVayWvnMkpD++wbZudO3cWsVJkfvPOifK7dz4U/+zJigRS9PR6X3ube15ZSCk4SNHIK7stjUaRI/eqJHlz3VKfSe97pDAjrBOvP6U3AoGAa7Pifc3LIvcC8+RYAJchK0h92c9ynulSPBL5TdmOFBOBoqa8NM9FdtTN9TWdt9+4t4jhqgAntUX4xMkNBFSrqJgjhTxFUUilUkWe2OX8zgUAJox273z7gVs76UoYvGFZjFhAG22AO03Z/imAOWtCTi7bFNOdf6M6bbURavwWTVWOrP1Pn+rjhg2D+DXIm/CZ0xo4bW6k7HWGqRV4BJBQKBSIJ7Os3Z/mvt0ptvfnyu5zQIPVLRGObgqwujlIU2xMdUvWRNI49toBePfDq1jgvWdFlUgAmALGFKCfACO829o/lOerj/TTlXC8JT931izu2T7MY3sSzKnUyRk2PSkTXXXY23nTZlt/riwYwa9Ca6WP3pTpNoBXNIb44AmNLKsb8w315sG5XI7rn4lz86Z40bYuW17Fjv4sm3qdZ+fcRRW8f3UlYQ9TezIVnen0cAyHwxzoH+GB3Y7UeldiLC+aXenj3AURzpwXddnZMDZOAGP+i6bFsx1pHtw5wrp9ySJFprYqH6fPjXDa3DBN0fL5pHd/yh13IBDg3q2D/OfafpbXB/jW+U1F++JtkNu2PU4l7qXGZExFr1qSVw3jlYzW1laqqqpe8e95peNwzylhJq883CObzbJz5073d1kLl+ZqMCarLmOcAB0nKu17FQIBhpNp9g2JF7j8m5+QBV4Z1FhQG2RetZ+2Sp2FdUHm14VRbasoN/PmfzKflzZ0JE+TGpTUAMqtwX/3YpI/rB9AAf705tkEdbWIASs5p/e4vWB/UfkRyXjZTwF5yrgdjUZdCXsBEvQOJfnIHV30pgzOXRjjoyfUFDXlw+EwmWyOe3cM8+vnh4iP1iKPag7z/mNraKvU3MZaOQsYwFV2Eva15C6lAFTJlwQooaoqd23u43vr+jEshwDx+TPqD2rTVy7Pm8xrORQK0TmY5IF9OW7ZNMjQaL4c0BTOXhDhqqMaaI6oZZt28YzJfz0Vd21lVjUF+fiJta5vOeDm0XId5T6X/ZQ8SggUoh5U7vsikYgLZhWLHqldJnIm3SM5uhIFfvZMnN60SdinsLA2yECqQH/aLKsaOR0R9iksqQugKvBsp/N8vPOoai5aXkN1SCPvWZe4nwmHXbVYIQcJa1pUBeT8pQo2uwdzbO9Ls3sgx95hk73xbFkPdl118rh51X4W1gRY3BChJWITK7lvppup/FK8suU5hLG8UtbFBwOPHywmqg9OlN/JGhbGLK2mAjaZakxUPy0FAwPT8n0Hi+XLl5e1LnqtxSvqMe6NXC7Hli1bOPXUUyd8j9f7pFx45XUlZBCTgeCYY47hvvvuK0o277vvPi699NKXs/szcRiFbdvE42NFCPGzLUW9ez0FZQD3erhJCLPxihUVqLqfuTGYFdPd7clnLcty2QteGWlh0E77cQK27TTkHJRb+Qm+K2m6MtmTbSt1EFbKS4msYRexZUtzEO+vBQvW7kuydl8S6D+k71GVMUa8piroCsQzBsMZg50DOTQ1g6I4KEMAnwLew1UU+PULxd6hDWGN764bQFMdnxh1FISgqQqLan0MZUwKlk1P0qRn9Pw2RHR+v2HI8a8c/Yzf5wPbwrQM7ttZ7CM1kLH40kN9XLy0EttKsaEny2N7U2XZzxJnzw9TFdLYMZBDVRy2tN/vwx4ZRlFsByihafh9Pny6RiFroKp+Z981FUVTMS1nvL1gcYBfP9tXJKf42P4s9RGdcDjsFnsMwyCbzY7zGoUxz9DSIvbYuR1DQYpnlaZpRNQMbzmikqtWVPBke4a7diR4vivLs51Znu3soD6i8bolVVywuILGiuLERVcVLlwc49xFFdyxPcENG+L0JA16Rv9+0eIYbz+yku0DeTb35tjSn2N7f45U3uKZ9jTPtKfd+2ZelZ/ljSGW1vo4ek4VXz2v1UHq2Rq3vNjP2v1p9g4VyJuOJP/m3iybe7P8/DlnjAnqCs0RjT3DBs90ZMY1xguFAjVhndPnRjh9ruMt25s02NCT5YXuLBt6sgykTTb25NjYk+N3G4YJ6gorGsYa5fOq/Wjq5H4986v9fPykOt55VJUj97Q9SVfS4H+ejvP7DcO8fmkVl62sIaJMnFge3xrmyKYgf3pxmJs2j/BsZ5Z/vq2TK1ZUcuXKynGAj4mYRPtG/TzFu9PbDC/1yBSW3nSEoCxLw5v4iieu7NdkEmYvN2b8ICePmbxyJl4rkU6nizywpbFXumAVhrI0V2UxXtoU9xYUSxfa0vz12nbk8/kiyUlZoOfzeVfSXWQ0JeTzAobzFusAFxgqRQeZ212FllGpxdLnTxDt8l0i11coFNxmZ2lOIMUq+X9pYgWDQVKpVJHPtLdgKVLrAhwUdpCwTaS5LscrSjWuMs4oY0dYJ589vZ5P3u2w/oX5sXZfiif27+Gs+RGuOa2F0GhRVa67gPtkrQBj0pAuqFbz0Zex2bN/wGl2jyoYdSUKdCYKZEenpZu3JEpvLWc/NYXGqE5LpSN33loVpCmqUxd05tFSZpCXaS9j5CWLw/x1c9xlyhzXVoll5V12j7eILkDJyaK0YFQVCXDpERHeeFQTI1mDtXsT3L9jmPVdabdJnjPhif0pnhhVn2mp8LFmdpRV9TpHNAapCAfccycsmVQqVfQ8yH3kBSnLOkzWcpFIhHQ67RZZ5Xp7C01Pt6f51tp+MgWbpqiPz59Rx9KmCHMrVJ7cn2T/sIBbdT53Wj3za5znLhAMcmC4wMM7BvnDhiFXtSlvwe7R3KYlpvPeY2s5Y2G1ey8LMMIbpmny+mXV3LYlXlS0PDCU4z8vms0f1g/yu/UD3LdjhE09GT59ci2L6oKuisREIcXD6YrasM5VKyu5ckUFm3pz3Lsrydp9aQ4MF/jFc0P86vkh1rSGOHdBlGNnhRDOlLD25dod3aBzdEMNHz6uiicPZHh0X4pnOzPsGyrw6/VD/Hr9EEvq/Jw2N8Kpc8IuoHwqYVkWXWnnRptT6StSkfDmdDLWvNLKQN68UYq2E9lBTWdkMpl/iMb4KxEzOeVMvJbCW6ucCGxpWZabU8p9Wa6ZI42cVCrFiKmzrTvBnvgQe4fy7Inn6UwYZcFsmgJzqgLMrw2woDbI/JoAcyo06qNjeZ5Xctgc3Yis672AQQEHeRtKYkcAuHli6f5LjqooCu9YHeSP6wewgZu2pnnvMbVuzuDNk6WRKM3ufD5fpJToVSeSfEP2Q1EUkslkEYkjHA4T9av825mzuOaO/dy3M8FRTQFOnxspalqHw2EuWlbDKXPC3LI9zZ82DLK+K82/3Jbm3AVR3nFUFY2VYwxTuX7S6EylUi6wD8bybG/tQlGUIjCBHPeFy+upCWl87ZE+Nvfl+PQ93XzprIZJwWbClBe1nWw2W7Y2Id+ZzWapjwW4YqnGpYtCrOvI8+eNA+yJF7hze5I7tyc5dlaIN66s5rg5saJr0lAR5BsXzOYvL/Tys2fjbOjO8i+3d3L1cbWcMc+pf3kl1eW+lXWIAB+86n+ydpFrKXVJyR0DgYArDy85oc/nIwZE60LMq/aztC7ANff00Jcy0FSFH188i4BPJ2tp9KcN2geSDBUU+tMmvYk8vckCAxmTvqQx5ea5l+iVLtg831W8Nvz1+ji/Xh/HpyrURzSaKwLUhhQaIzoNEY2GaJaGiE7zKNBV8nXJfb3XKazbrG6NcWRz2K17pTI5+nIqOwdy7BrIjv7kSOQt9sQL7IkXeHB3CnC8zusjGvOr/cyv9jOv2s/8ah9zaiMTkm9ejZD6sEiovxrqjgI8EQUtAW1kMhn3XIRCIffZma4mdTmgfCmwV75L1hWv5LXJZDJEIpFXbPt/j3FIjPFPfvKTXHzxxcyZM4fe3l6+9rWv8cgjj7Bx40bq6ur4+te/ziWXXEJzczMDAwNcd911/Pa3v+XZZ59lxYoVALzzne+kpaWFa6+9FnC8db773e9y/fXXu/JEV199Nccccww33HADADfccAPveMc7+O///m9OPPFErr/+en7605+yadOmQ2JezaAwD99IJBLs378f27bdSdaLJPeGDIYyyXqLhhIyycJYkUySsVKPSUG3iYylJFPZbJZNXQnu2plhY0+W/rRZto0tqscywU6HLPl0REhX8GlOo1cbbfhqmoLzn42mqmDb2AoksgaJnP2KyMHPxPSGqjjgCu9t1lbl5+dXzHMZT17ml1fKSpB9UpiVRYksArzPkTyDpb6Q3vD5fHQlDe7cNsLd24ZcxramwEltUS5ZXs3S6uJirshb3fhcN//9TDEjZ0VDgHccVcXKBgdxZ1o27Umbrf15NnQm2NKXo7eMf2ZNSGNZfYDl9QFWtURZXB8Gy2RvPM9tW4d5uj01oYxRQFM4f1GUixZHaanwu0WyyeS7bdumM2E4TfLRRnkpWz3qV1nVFGJ1S4SltRptlb6DFrWzhsUDu1LcsnXEZQBpCpy1sJKLF4XdIvBE0T5c4L+fHnQl2t9zTB3vOKbeRRnL+FpuXH3zjQdI5i0uWFLJp0+f5V5vL2JTkk9vQ+blxkTbmQy5Ko0TsQ2YLhaWxJIlS4oaWq/VmI6c6rWcV87klId3dHV1MTAwAFAEdCydy8p5ZUtBzBvhcJjeZJ4P37KXoK4S9Kn4VWcOCQd0fIpFQHNeDwd0/Cr4FJtYOIBqGcTCfhTTIKgrBHSFgKYQ1FWqYmECuqMelB8dp72+xdK0ETa0NNaloOr18JaCp1fSbaIxtnQu8CL/y0mwl2Oi+3w+t0AmrGzxxsvlcu5+CtBOWOTekJxc2OXZbNaV75YC2zcebOf+nQkW1wWYXRngod0jbq6tq/DGFTW888hY0bGoqkrvcIqukVGWdxa6EwXah3P0Jk16p+D1rSmwpC5QxPqWn+qQ5q5BvNKR5YBekvcAbnFQ4qsP9/Jkewa/pnDTm2cX5Qle5tJkbGTABTJO5OXuXfckcyZPd+V4dG+K5zrSEypO6SqsbAxzbEuINbOjLKgduwelMOwFakiRvZyKgBw7UCRDCU5OdfOWEf73uSFs4MjmEJ87o4mwZqH5AvzkyV5u3TwEODnw9y9sdvMhKawPZCw+cUc7fWmToK64YIOgrvDWVY5EqD66YJP7y3tuZY34YneGzz7Qg2k567oKjzpTVVDj+xfPpns4w3ce76cv7TDX33NMLVeuqkUfbcaVPm8vl0UiKgjyb7l1L0A6b/HoPodFvq1/7LxXBzXOXhDh3AVRFjVVus/qRLlTMmey7kCah/em2didddcbmgJ/fddiQj51nEfsRPngNx7pY92BNFcfX8dFi5wiXqlaFfCSpDYninL7M5l6k+yHrJm8KgLTEeFwmPnz50/b9v6v4nDPKafrHMzEazNM02TPnj0uQ1xA4uXqlaVjnNeGrPR9P17XzU0vxsf9DZz5Z161n4V1IeZW6cyvDjArqhINjwEWS9fKPp/PbZCLnZ6wc3O5nJuvyJwCuKBHYUJLfihNPJnvvd7b3hz543d1sWMgT1VQ5bdXjKnOyfhe6nUtQDrZf+/YX9oc90qpyzalkS71mt++MMQfNw4T9in86KJZzK2PuQ1mYXFLs6ovbfLTJ3t5cNeI830+hbceVccVR9Tg15SifNo0Tfc4I5GI6/ks51nII7Jf3tqR10JmbzzHlx7spS9tUhVU+eKZDSyqndheIxwOu/W5ieYi77pGVVUXnCr79mJvjhtf6Oep9ow7h7dV+bhkSYwz5kUI6GrRvNgxUuC76/rd3OG0tjCfPHM2qlE+bym3hpA5tFRBqJSV71V3ktyxdA2xezDHR2/dR8awOW9hlE+dPstV2fKGgHslB0/mLfrSJo/uTfHnTSMTnuPpCk1x5OubKwLUhVXqwyqzKoPMqgxQ7beoCapoajF4QFRzhPAnz6lt2yRtP9t6UuwZKrCrP8vOwRzdifL1sLBPZV61r7hZXuUvq4LqDRkb5BrIvr1Uhremae464FDyOBmrRLnXa3U1mdViOc/yIuvR0TqhAIBeqZhsXSYqb6I2IbYL0xVNTU3U1dVN2/b+r+IVY4y3t7fzlre8hf7+furr6znhhBP429/+RltbG9lslq1bt/KrX/2K/v5+amtrWbNmDY899pibaALs37+/CHX5+c9/HkVR+PznP09HRwf19fVcfPHFfP3rX3ff86Y3vYmBgQG+8pWv0NXVxcqVK7nzzjv/YeRIZ+KVj8FBBw1V6l1YLjRNc70WRWa3XEiju1xjEMZkgyQJ9BYiRUpnWWOEZY3OQl7XddbtHeH+XUk29eUYzjoD8d9LI7w0MoY9KYv55YSuMup5rhLyqUR1heqIjwq/TdinURHy41MsgrpGyK/iVyxCukJlNExIV1BsE3/ATzaTBlR8gQCm5fgvG6Y1yqi3WN+Z5n+fHSj67ohPJVXwIPFwmsQxv8p7VldhjTLynR/b3a5lg6b7ODCc474dY4mST4XT5ldQEdAwTAsbhbxhkDdMHt7r3De1IY3BjAOMaAir9KbHfz/gynPj+b0pomKjuvtgQdE+mbbjUS9e7we7n0r/rgD7hvJs7UmxsDbgypXKYkaQuVDMhg0EAq5UpqBhveF9FqLRaBGrzD0+VaUuYPPOVTHevCLK090Gt26Os6knw2N7kzy2N0lrpZ/zF0Q4Z0HElQG6f1s/1z/rLAIvW16FisXt2xJs6s3xmXt7OG52hHccVc2S+hBtap62iiAXLnTQu0lT5/kDQ2zuy7GlL8fuwTyDGZO1+9Os3Z+GZ+MENIUlDSGW1vk5sS3Ge9fU840HO3mmI01lUMWyIDGqRJAzbW7dmuDWrQkCmsLCuiAnzw5yzvwoYX95iRpFUWip8NFS4eMNR9RhmCY7+9Juk3xjT5Zk3mLd/hTrRllYVUGVI0bZ5KuagjRH9XFjV1BXuWhJjAsWRXm6I8PNW0bY1Jvjvh3D3LdjmFVNQd6wNMYxLaEi33WJ5pjO8bMjbOrLUTBtAqpVxMqRhWa5EGWGIxpDRUmeLIa9Y6dhGNOWaJYbvw/WdJdirLAZpzsE4TwTM3nlTLw2wzRNBgcHXUboZE0OAUx6WYPlFru2bZPJWwykTWD6fN28EdAUp+E+aq8T1FVCfg2/ahPQVAK6QiTgQ8MkGvKj2SYBfYRYKEDIp+HXDEI+Fc12/q6YBfypxGgzXkVXcYshwoCRxbqwU8o23Dysbm+z1tt896o3ScFOzulESh/CsJHtZLPZIva5MFXeuaqCtfscOfBLl1fxT6sr+O66fp7ucKQIb9w4yF9eHGRpfYCKgJOjdSUK7rw2Ufg1ZdS6x2F9S9P77h1JnurIcPmKCt55VPWk2xCwoZcp4GVt5fP5omKPzKUCMgjozhyYN23+1p7hRI/ljoAKJguvxL4AfUtDwJBy7WJBnXMW+DlzbhhLC/DQ9gEe35/mua4MpueUGRas70qzvivNz54ZoCakcVRzkBPaKlg9K0xtNFDU5Jemolf5wBtepQAB2pm2wvef6B1lxsAFC6N8cE0NPs2iP23wzUe72drvnIP6sEZf2uQ3G4b599Pr3CZxyoBP3rnbtVXKGjZBXeHKVTVcubKGaFB315WGYbj7LNdBbA6eOJDiG4/0Y+Pk7186s4GT5lfzjQcO8OCeNENZk/f+eS8fP6WBn125gG893MHafSl++vQAz7Sn+OxZrUS08WOD5OJTjVK1ACn8yTFM1OAN+1UuWBTjgkUx9g7luX9Xkgd3p4hnTf68aYQ/bxrhiKY4Z88Lc9rcKJFgeQBiNKBx3sIY5y2MsXsgxw+fHGTnoONX3z+Som6UNS7302QN5wMjzvZnRcdyADkuYTACZdXfXmpM5Mc5WXg9K6fTtxPGmv7TpbT0Wo6ZnHImXqsxMjLi+lyXUx/yhjRzvSCbctLAlmUxpyqApji2H/Oq/CxuiDC32pFSrvQzjrxQKs9eqvjn3TcZ97xANAEhluZ60hzP5/MuEFLAlrKtiXx033pEJV9+uI+hrEVHWmFRnVOnTafTZb2LRT1IgIUC3oexWpUXfCWNJWmkSv4qx/CWIypZ35Vla3+O76wb5NpzNDR1DKAZCoXceT+mwidOrOb1S2Jc/3Q/W/ty/PzpPm7bPMi7j67m/GV1bm4salMSqqq6bHK5tqJ64j2fpR7ybVV+vn1BE196qJc98QL/dl8P/3pqPWtaQuPOpdRdvEAEaSDKeZNGqve+8q5jCoUCS6pVvnBGA52JArdtTXD/riT7hgr86MlBfrV+iAsXRXnDEXVER6fGlgof3zqviRtfHOYPG4d5dF+aTTfu5DNntLCsZvzcJc+CqL3INRJpfGERy/mQcyLnVs6dqFVFIhH32hYKBWaF4dOn1PHVR/q4d2eS1ope3ri8ctx+SEM8EomM5nQGpp3n0b1Sf9MYKmPnWR3UePuRlVjAvTuT7BgYy2N0lbIy5+XCtHGslooIOGOKpqoCdWGd+ohGQ0SnIaLTWh2kNpihuTJAjZmjMhoeAwuk06yZFeDYZj+qGiMYDNI3lGTPUJ49g3l2x/PsHTLYE8+RLlhs6s2xqXfsHpWxxNssn18ToLEq4j5bAqqZLoa3KP1O1TJI7lUBlnjV2CazyJVmeSQSKQKCCGDXa4/lte56uTGR//pkc4BXcfNgwOaXEoejwuXL9hh/LcUMCvPwjHw+z/bt2w/6PvGjEbkMb5SyC0tRbFJkELSgINq8zBppxghiUvyZvcUs7/cqvgB3bR3ihhcGGMiU9xvUVKjwqzRGdZoq/JimhWkrFEwLC4W8YWJajqy68wMF06I3ZWLaoCsgvW1vA/YfLRScxEERZrviHGt2ksa+gsPKlQZn1Kdw2twIPk1BVxV01ZHv1kb/P+T3Y1sGe+N57txRLI8e0BXefXQV86r8hENBNMXm50/18lxXFgX4wUXN/Os93WQMm5hfIZEfLfp5/NePmx3hfaur+eBf293t/uzyNuZWj0mSSrIrPjxe/yVJKBRFIZ3JYNkQCIZIptJuk1/VdBRNJ53O8PG7uohnLcI+hXTB5o0rqvl/pzS76FbxhNI0rWyxX5ILKapC+Um2dDL3PielPlUiS7gnnueuHUnu3zHsgjP8msKpbWEW1Qb4+bODFCy4cHEF/7ymyjlm/Pzy6R7u2T7intNT5oR525FVrtS5fKc3Ec8aFjsG8mwfLLiS6RP5bymKw6Je0+wn5oOrb+8mkbeKrqM3qkMaKxuCnLsgwlFNgXFN5YkSQNOy2TWYd6XXN/fmxkk71Yc1Vo02yY9sDFIXKZ+87R2x+dOGfh7bNyZ92lqhc9myCs4cRfw677P4wdpedgw4+7OsPsDHTm5gdoVe5AclBXov4rtjJM8Hb+0C4DeXt9JaV+Eu8rxSZML2m8j/9KVEuWRxKom1LCBeCfnL+vp6Ghsbp327r3Yc7jnV4X78h3MMDAzQ1dV10PfJ4ryUzVLKLpSCVLZgsn8oj4GKicZwKgu6n5FUhrwJBVshZ9ikcgWyho2BSjpXoGCrZPImeQsyeZOcYZE1HKuP/CvkmVcuVIUitnpgtGEe9msENGW0Aa+4rwc0hVgogF+10RSLkK4SCfoI6CqabbjvrYyEnAavkUdTHSS/pmlFhQuvNKVI4AHjCsUibZ9KpfD7/QwkMsQLGje+0MfDe9L4NYWl9UF6Enl6U+WVnLwhXt+zKgM0jDa/59bHqNIKLuvbO+fYts27/tLBYMbk6+c0cGTT+MKlhNdjcaJCjldCv7TA7ff7edsfxxq686p9/OB1zS7wTZrs0kiWQql3e96Cr9e/3ru2kXm/HMDRy3KSJvm69izPdqSKCoOlaxAFWFjj57g5UVY1+FhaF0DXVFeZBpznptQzWlEUtwkaz5h8/ZE+tvbnUBX48ImNnDfPyYM3dGf5z7X9xDMmEb/Kp09tYE5NiPfftAfDgn89rYFT54ToHCnwqXt7GB4tfCrA+QujvHVVJS21MTdXmcyv0DRN7twa53tr+wAHMPvtC2exojnmKhjctamX76ztd3PFk+eE+PTJtTywN8f/PNVPzrSpCqp85swW1rRGyhbEvCCGiWK6C2gF0+apjjT37UzxXFfGzSNDusLp86Kcv6iChdXauKatadncv9dpGKQLFqoCr1sU44MnNaMYzn1e6t/oXYuHQiFGkmku/+N+LBtueNtCakOam8PLGCANmulSISrdD5i4qFkak6kuvNxYuHDhKwLkfDVjJqeaOQeHc+zevXtKY7Oo9pUqz01UT8kaFpqiEA0HXUasAAS9ijTe+o2AuqQhKmOWsDa93yHWNvI++bysob3MTO8+CkC8tDk8UVz5x/1kDJtjZgW59oLZbp4ykYqOl/UNuGpNcoyiWuitYZUqskjzPp/P0zGU5SN3dJEqWLzliEredmSV+z5RL/KSoQDyhQKP7k3zq+fjbh62rD7AB9fUsqq10j138q9hGO7v3mtYms9ONOek8xbXPtbH811ZJ+c5robzF42pHUkDWQgJE1mMeJvLUJzfTJRDJPMWD+/L8ZcXB+lNjSoBqnDG/AouW17J8qaoeyw7Bwt8/cEOOkfVCy9fWcM/HVePmc+6bF0BfJVTY/ECXGXeE6ltud5eoKQXcCH3tfz9tq0J/ueZQRTgi+fM4uS2aFm7KGmG5gyLzz/Yx5beLLNiOt+9cBaP7Eny02cHMSwnvxN+lQKc0BriiXbnnppb5WPvkLMfV62q5qyFlQykDDriafrTBoNZ6E8b9CTyDKTNaVm/KTj1xsaoI9E+qzI4KtWuUxtQaK4MEAn6XQAnOLl+KpOlfbjA/oTN7sEsO/qz7B7Mu3Xx0qgLa26jfF61n/k1fpqielmizaHGRMCdccc6ulaSGrW8z7sGK723S/NKef4jkYhrsyLjnqzDhI0/XW3Ucvf4VHL1UoLmdIbf72fx4sXTvt1XOw4lp5ppjM/EP3z09vbS29tb9m9SQAEm9ZUtld2ZqDglyZMkKzLYepMtGUy9Hj0SpYmOyOTk83l6kgb37EzxZHuK9pFCEetCoiqosqI+wHmLKzi60T8he/OenQl+9LdB9/c3LKvggyc0oACZXB7DsknnLToTBl2JMZnIruEcfSnDTe4ONSI+hYaIzp6hQlERLOJTivzMfarDKPBrCpZlY9pQsBwfIy9b27LHy37/I4ZvtKCcNcYarBEf1Ed8aKqCT1PxaY63uIqNrioEfLrDnPfpbhNfV0c9znUVXVVQbAufpqLYFqGAD01ldFsqP1nXzZCnAVwd0vj1FXOc93qSilIpGmErlZMtlMREmo7lpL/EW6i0eFQqFRYOhxlKZXl0X5q/bhpkT7wYYbygxs+15zZRVxkpYlLs7Bnm9xuGeWRPymXtnDU/wluPqKKtfqzIWa6IJs9sZ9JkU0+WbQN5NvdmOTA8Ht1cEdAI6tCbMjlxToQrj6ji/l1JnjmQpK9MsV1VYFZMZ01LiIsWx5hVOcbOP1gUTJttAzmHUd7tIJpLkaizYrrTJG8KckRjkKqgVrRA6k0Z3L0rw+1b4qRHn8WKgMp5C6JkLIW7tg1j2Q5Y5APHN3DGHD/qaALqlTaSMUukyDOZDLduHeH6Z+KoCtz6tjY32ZP7QRLCifzUXk6UJpYHk7uUEBWEQqFQpPYxHbLq0WiUuXPnvuzt/F/H4Z5THe7Hf7iGbdvs3LlzwrHAi1SfDO3tBWKV8xyX93ibf94FvDCsBaxWrlgQCoVIpdPk3CY52Jqf4WSarGGTt2wKlkLWsDBslWS2QLZgkjNtDDRS2Tw5wx5twiukcoa7rZxhuw34V7H3jk9V8OuKw1LXFJetHvI5zHeHEa8Q9mkERv/fRCGdM0nnTRI5i5GcyXDWoj9dmBQgCQ7ori6iM5Qx3LkRoDKgcvXxdZy3tNaV9RaWRKlHvHce2j+U559v78KvKfzxqtmuJGFpsy0UCrnsaJkvy7HI5H6D8TLqHSMFPnhrJ9po3pcpWHz2tHrOWFjlynRmMhlXptA7N0rD28v88nrDe1nkwgSDMYaD1wdV9lOeCVVVMbUAj+8Z5sEdQzzflSnKWbyFRfcc+lSObApwzKwQq5tDNER1d80kDWHJ9TKZDLsG83z14V760yZRv8oXzm5hRa06Kque4JfPx7FsWFAb4DOn1NIcc9jof9qU4H+f7afCr3DW/Ci3bku4zd6jmsP8y4n1zK8LuwVwOW/C3ivNL1RV5YYNcX61fsg5h7rCjy5qpjnmc59Z+bc/bXHN3Z2jqhFOofFHl7Qxki3wzUd72TPojDmXLYvxz6e0UshmXJadnGPxJy0n8ThZQXE6oj9l8OiBHHdtHaLLw26aU+njnAVRzpofoSqosXvI4L/+NsD2fmdfFtcG+MhJ9cytdKhlpSBbTdPc+1COIRwOs6VziA/f3kXYp3Djm+YUraEjkYhrBSHHPF0lr9J1z1QKmMIONE3TfVYO5m19KNHS0kJ19eTqE3/vMZNTzZyDwzWy2Sw7d+6c8O/SDC8UChPKEcta1UuOKBelDWB5r4yzMq9PBCgqfU3qPvJ9omgj4fUGlvqOxKHMSd9b188Du1PoKvzlzbPL1ji9DXEJyaNk/S9scC9hRMbi0sa91xYzm83y2L401z7Sg6rA9y5uY3l9wPVNl+a1NLm9HuhZw+L2HRn+8MIAudGc8+yFFbz9iBgt1WG3eSssdWneeq8DFNsQyRxXGoZl86O/DfDAqErOm4+o5G2rKl15bWGJi4dwNpsdt/4QVSav4pOENMlFPl8Y1TKvmZbNwzsHuW1bihd7xu6TFQ0BrjyyjtUNOgG/j0Qmx/8+N8Qd2xOAkyd89qwW2irG/N8FPCGNbW++6wU5SI4s4ATJq6SWWDpny3ZEcem/n45zx3ZH2fEHl7TRGrFdUIT0B+TnPx/v59F9aWIBlR9dMpe6gHPudg7k+I/HB+hKFFBhnH3o/Bo/37mojV89080tW5xjPmlOmM+e1UrIp7o1RmHz27ZNXvHRMZimL20wkDbpSxnEc9CTyNGfdjzPp0O8tSKg0hTzMavCT31Epy6o0DDaSJ9bX4FdcJj4hmHQNZRhdzw/+lNg31CBjpHyY1JIV5jnYZbPq/bTVuVzSTdTDe9zORG5RYC7cq29FhSl4GLZhigKyDPsHY+8uWY6nS4CnnoBuNMR5cbBySwfJbyKrVInn05Sz7Jlyw6qhvT3HjON8QliJtk8/MK2bbZt21aEJpxqM7w0JvIvLA0pSEgBS9gX4r0jKEygCJ0FE3sGyWQvCVA4HOaZvYPcvSPBhp4cA2X8yVUFmmM+jm4KctGSKLMrHTZ7wbT5zto+Ht/vDObL6wNcuqKa9uEcncN5uhKOXMtgZmrN7yW1fkI+lY6EQV9qPGpTV+G0eRWctyDMsXMqyefz/PsDvTzTkSKgKeRMm+sua8Onqdy0oY+H96SKvPvOXVTJRUsqWNwQKUKGlmPtDyeSpPM2BdVHMmcST2bIo5MxFUbSOUZyFo/sSbj+yjCepaIrjlxg3rQpGPYrJGj62gphPH/xjHpOW1TrqiNM1mAs9/dIJOJ63JRKy0oIUlQaprJw8cqGSfFTnq9QKMTdW/r53rr+ouJq2Kdy5rwwl66sY2FdqGhBuTee5/cbR1wpcp+qcMGiKFetrKQ6NL44J4sEGS+kuPvnzSP8/Ol+KgIq5y+uYktPih0D+XEMbk2BhXVBltb5WVLjYyRn8kxXnq19jix6aYR0hQU1fk5rC3POgij+Q0gis4bFlr6c61G+czA/TnFibpWP1a1RVtTqrGgMUhly5D7TeYv7diX569aRcX7rx8+O8KnTZxFkYlRjqaStz+fj6w928ui+NJUBld9dObvsglsK7nLPvFJekFNtunulaMsh3V9OzPhB/mPE4X78h2uk02l2795d9NpUm+Gl4WU9TBYiCSzFLHlNxlopFHn/LuFdXMs4KwVAb05VOmdHIhHXTkjmXCkelBYlDMsebaBbbtMc3c9wMuO87mmk50yn0W6ikSmYZPKGw24f/XzBgkxhbDtZwyJn2K86ADKoQ8SvEdId+fmgpmICewZzRc30iE/hjAUVzKsJ4h9t1OtY+DWFWMhPYPR3XbGIBHzcs32Ynz0b56imIF87x1EOkbmllL0lhUy5fgK09bJ4pGGoqqrLoJK4Y1uCnzw9yJHNIZbW+rnhxWHm1wT4/oWNRMJhF3znVa+SkAK2t/gaiUTc/ZAmpFdmUzxDBTAH4yVNC4WCq6olxat0webxvSM80Z7jmfZkSR6nYFqMy6laK3SObg5xwtwKllSrBHXVbcQ/sH2Q760bIGfatFbo/PuZjcyvj5IpWPznI108utd55s6cF+HTZ84moI9ZBA0MJ/ngrR0MZootjf75uBreeGSDW4SV58cLHCj1vvT7/fzX453cstUpgsb8Kj+7fK4rh+71hjdN0/Vn/eJ9HW5uqqvwqZPrWNMa5hfPxbl9m7OtBTV+PndmM/Pro65dUSm42tsglwL2dElbThSaplEwDDb15nhwT4ZH9yTca6cCjTEf3YkCNs6z8+7VNVyyopZCvnhMKW1KlJ7jcDjMvVv6+OZj/Syp8/O917UUqRnImOgFcUxHlPOlLG32TBQyR8hxCctwOprj/wh+kDM51cw5OFyjq6uLgYFia7+pNMNLY6LaSmlIrUWkhsuNtdJYFLKDhHdsFnsT2Y5XYaaciorMeTL3y/xX2swuF4MZk3fe5KgmfnBNNRcvKX4+RAq9NA/yAvilGSrnVeqzMMZcl/milDGq645C3jcf6uD+XUnqwxo/uqiZmpgjdS5gQ6/yaGndIJ61+PXzce7b5eQgAU3hylXVXHVEDdGgz80tvN7QXgl4adZKziWvlbs//vBigt+td0hQ5y2q4GMnN2AZBZecIsSrUmCkd50wUa1PamICVpP3S94j9Zzt/Vn+uiXBY/tSLoC2Mapz6dIKzp4fIeJX2dBv8u1HuhjMmOgqvPuYet58VB3YY/7qAvjzAixlPpUczKsA4K31TNZglGZnMpXmKw/38mxnlpqwxg9fP5sq//jaz+9eGOIPG4fRFPj6uc2sbPAXWdPYepBrHzzAuv3ln7+IX+WtR9UR9iv8eF0PhgXzq/185dxZVPntcYSR0u8vBVLbtk0OH51DafpSBoNZm8GMRV/KoD9t0D2Spz/18pvnYZ/i+JzHdForg6Nsc5hdG6FSN1GAvUNOo3x33JFk3zuUHwdwBac/0Vrhc73L59c4jfOqYPkGbGkjvLSOJ2sOUQsLBoNl7YW890HpPe9VWS1lmZeyyAV4MZ0kntJtHQpgqBTcMtV+1VRiyZIlr3nrx5nG+AQxk2wefjEyMsL+/fuBsSRQGDYv5dafKttQvk/kGqE8wqlUdrBUqkZQlvK6vE+SNVlg5woF1u7P8cCuEbYP5Ms22jQFYn6FrAHZKdJ7In6VWTEfLZV+6kMKrVVB6kMK8xtiXLeuk0f3pieUiW6t9HPegjBnz4/SXBNzkzhN09jQmeQjt+5z3/vFMxs4fVEt+XyekUyBB3YnuHN7soiJu7w+wMXLKjllboxwYLxsSOmEJ5LMMklu6RrhG4/20ZUw8KkKlUGN/nTxpLl6VphrL5yDrjoJ6FPdBl+5v4PZlT7+aXUV339igHjW8TO/YnkFc2rDJDI5x2+9YHHfrhQ9SQNVgeNbQ2QLFrvjBYYnkN5+JUIBfNoo81sFXVXRR9nkuqqgjDLKl9UHsRWVbL7gFCFVlWzBwEYhnTfZ2DO+UHPG/BifPKkGGF8IkiQZxgp83oneK0NULqQRWZoISMLtZe2WFur3D6a55k5HmnRRrZ+TZoe5f3eqCMG4sjHEhYtjnDwnxKjlJj6fjxe7kvx2wwjPd44mnZrCpctivHFZBdGA5jYfAoFAEXIQHLmjD93aSdaw+exZLZy7qJJUKoVh2ewezLOxJ8svnx+asKDfENFZWuenrdJHX8ZkW3+OA8OFsr5DNSGVlY1BLlwY5YhJpFfLRSpv8WJvdtSjPMeeeAmjSYFFdUGOaPCzqjFIU1Tn1xtGeHzv+IbNsS1hLl0a5fi2SncRKtc6l8sVXV+xlvjAX/ayd6jAkroAP3njfJfVJuOf3+93m0PTmWhC8bg7mdylzA8wVsifaDH4cpvjFRUVzJkz52Vt4+8hDvec6nA//sM12tvbGRoaAsYak4faEJeYCiLcG14WSqlah/c9pWorMmZFIpEiCUFd14v+5h37yklie4Fi5VRhJKSAOFGhMxQKud/jVRCRuV3kHaXIZtqwfzDDvnie/UNZelImfWmTnkSBgbRxUNa3qjhzu19X0BUFRRkd523cpuurKTkPTsMz6ncaukGfSmDU9z0c8OFTrFEZeZVo0IeGRVBXHCZ8QMev2MTCAVTbwK/iMucro2HsguMrrqkKX3+klycOZHjHkVVcfmQDb/3DDtIFmy+d08KxTY7KlddTU4DDsr4QkK8XlCu2PYBbCPXKL8rr3vWN1zLF+5lIJEIulyta9/QOJXmyPc3a/Rme60wX5UOVAUcdqRQM7FNhRUOQo5uD9KQM7tzu5BPHtob57OlN+BWT9uECX3+0jwPDBTQVPnBsLZevqnMLrYqi8PjeBD99spcDw2P3vQp8+ax6jmtzGFfSYJYieqmMoeSMqqryrUe7eWiP88zUhTWue/0sKsJ+lzUsAM9SeVq/389d20b4wboeF9R47oIIHz2xjicPpPnB3wYZyZkEdYUPranhnAXRSYthPp/PzWEPxYt8qiHNBS9rUJoEI5kCj+xJcvPWYlCyX1O4YFGMixZHWdRU6d4fogDgVSMot9bIZrP8YcMwv1k/yIVLKvn0GS2kUqki8HmpHO10Hav3HE6WE0oTA3AZdqXvnUhp4FBj9uzZVFaO90d9LcVMTjVzDg7HsCyLbdu2FTU2ZI55KePWoa5TvfPwRJ8tfV3W1sLElBALC2H7CgBOGL+laiAyLwkIcLL9jkQivO332+lMGDRHdX56Wcu4v0uDSPZJWNhe1rOXWSr1KsCdk4GiZr/MPwK4iiczfOzObjoTBU6eE+arF7SNa4hPZMcmx79zIMfPnx9mY7fz/pqQxruOquKsBVGEay9y9F5Zetk3UfTx5lcSXpn4v7zQw3VPDWLZcHRzkH87tZ6KsN/drreBL3m/V2YaJp4/vaxZ77X0kllkrRLPWty6ZZhbNw+6doQhn8J5C2NccWQ9Mb/Gdx7t4rG9DvBveX2AT5xcS1PUV5QHeNc9ss4QUKjM96VMem8dSNQNvCQXOYZ03uJT93azb6jAvGrHDz3kGyOlPLQnyXfWOuCVj51UxznzI+7fxGdeLIVu3hTnuid6ikgpdWGN/lE1oKqgyhlzIzy8N8VQ1qI6pPGlc1o4siVGMpkcd85LFQhKwwsIEMCHVylnJGeRtHz0JPL0pQp0DWcZSJv0Jgv0p00G0ubLap4HNIWasEZTRKelQqcp5qMu7DS6EzmLzkSBvUMFdg3mGZmgJl4T0oqa5UsaIrRWBdAnsOyU3+We815TGFtfe5VIAZeV7w3JYb1gGVkbyZrH7/e795WME9PVRi09rska4zK2CPikVO0LyitnvJRYsWLFOBuk11rMNMYniJlk8/AK27bZvXu3i+rxLq5LmTJTjUNJNqVI4U1qyjXlyzXMBb3oLXB4B0lvMTVnWPQkDQYLGp3DeToTBfYP5djZn51w8imNpqjGqqYwrVVBmit81IegMaxSXxlxJUZgVEJ02OaWF+M8ujc5ruGnKY4szAWLoqxqDBYNpt5iht/v59/ubufpdmeC+diJtbx+RV1R48o0TZ49kODO7QmeOJB2m+/VIY3zFzkM9IaIXoRahOIETq7Xo/tz/GBtDznTpiGi0Vbl4+mO4gkn6lf501vnERiVWgkEAnzn0U7u2DrMpcsq+H8nN9OXyPGVh7rZ0ut493zg2BouWhx1Coc5kzf/qR0buHBJFR85ocZBOAZCfObOvTzflUVXFYwS6m5lUMWvKq48fWNU43WLYvh0laGMyc2bh8si7hbUBsjkLTKGRaZgHbQw7I2YX+UPV812z5E3iQqFQuwZzPK+P+8hFlBZVOvnuU7nXPk1hT+9fSGaOQbkkCL8RN6KwoISNK2wWkqbqOUSe1mkCBtKkhvZpmEYDOVsPnV3F12JAvNrAnzj7Hoqw358fj/rO9PcujnO43vHpDArAirnLIhywaIoCxoq3Obus+1Jrv9bN9sHRsEnfpXLl1fwhuVVVEZD7uJJnmdFUfjGg508vDfFisYQ376g2d1373F9+eF+nm5PceWKCpY0RlnfkWBLn9OcLmVxBzSFJXV+GsIa/RmLA8MFBjPj1SA0BVoqdI5rDXPRohj10fL+4RNdj+GsycaeLBt6nGZ5+0j5cVABTp8X4cx5Ye7bnWGt55mfV+3nDcsrOXtRJUGf7jKrSz27QqEQl/xyO6mCxXkLInzkxDr3dVlMeRvSgvicrvCOKZMt+Evvx3KsIJgeKdLa2lqam5sP/sa/8zjcc6rD/fgPx8jlcuzYsaOIqSsxkbzbwWKqgEtv4dDbvJSiozfKsSbKFbe8KPlyfmneAiKM5VmS30rxVt4jssdSZJUilLf4WG4c9vv9pAqwbyBJV6LAYE6lfShL50ie7kSBvrQ5br4sjdqwRnPMT31YZXZ1kIaw46k3rz5KVVBFYUwlqhx4IJFMkTdtOpMW19zVgWHBe46uYlFtADQfI+ksOcN2fNwLJpai82JXkhe6s0U5WtinMqvCh2U76i3ZUfZ7tmC9qpLzuorbVK4La1QEVBJ5m76UQdinclxrmHBAR7NNwn5tzNvdMoiMNuOjQR9hvw5m3vWDjwZ9GPkMAU1xVYBKQ6474FpISS7nLR5KTuhlSxcKBbdQmciZPNme5vF96XFy6/URncqAymDGLKtwNadS5y2rajiqyc/Gnhzfe6KfTMGmNqzz72fPYkGl4jKqX+xKcf1TfWzqHWWKjKpZgVPA/NllLVRGQkXPAuA2xr1rM/n75+7tdNc4rRU6P3xds6v8I0w9kXUtxxwOh8Ns7xri0/f2MpJzjm9WTOdHl8whW7D4j0e62DAKYD2tLczHTmkkpCtlAabemEhm/aXERJ7mImdq2zZdiQLXPzvsnouoX8UaVQmQWNUU4ux5Yc5ZWodmGy6zT55Xybvz+bzbFEilUvzHY308ti/Ne1dXc8XKKndfvKxEODR1uINF6ThfbvyeqMkzUV45HY37+fPnFwGUX4sxk1PNnIPDMfr6+ujp6SmSfoZiAOGhRDmm9kQhLFwB/kuzpVRdxGsFcbC80tuYLQVQCnhOmpPe5o1XsljqLKICous6yWSSO7cnuO4phwX926vmUuW3y9pc+nw+F4AmVjc+n89lFk8UUmcSgJYQkEQmXcb7nfECH711P6YNHzmhhvMWxopy29JGpozNcj7kHK3dn+J/nx+mO+HUdBfVBvinY6pYM7fGra3JdZH9EVCe/A3GcvNIJOLmXPLa+t4CX32gi5xpM6/ax5fObKA2rBcBGb3XsbTpJ8z1idY38lmx0pOGu9R25DxYloWt+bh/xzC3bB5mb9zZngKcMCfCxYsj9CQNfvqsY+kX0hU+sKaGc+ZH3Ia4fIfXClCulTQL5Vp5m6nymXK5kbdpOmLofPive4lnTE6YE+VLZzdjFBzbxM/e7zC8L19ewXtWj9mWSH7rBUVs6M5wze37i+p3qgJXrarhkd0Jukavd11ERwV6Uwa6Ch89uZGLltUU1aTk+ss9M1GdTFS+pLbmtaCBYsuDcmqKPUMpepMFRgyNzqEM/WmDoRx0jeTpSTr1yIOtwyYKXYWqoEZdWKM2rBHUVQqWzUjWpDth0J0qT1oJ6gpzq/zMq/axtDFKaxTaqnzEQgG3t+JtYEtTW54RWWeAU5uV94r9mPQ4JHcvHWu9IO9oNOquuYFpJfFMZOHgjXLP4UQ5pRf481JD13WWLl36kj//9xIzjfEJYibZPLwiHo8zMDCAYRjjCpheT4Zy8oMTxVSTzdKFs/weHpUuFE8T8SUv9dUtHdASOZPBgsbe/hTdCYOuZIGepElX0qC/jHx50T6rTjNwKGtNOqHVhlSOag5xwaIoy+qDRZNE3rR5bG+KW7aOjPNyBqdh+q7VdVywtIqobo+Th4exBEUKBlt6M3z4lr0AXLWyig+d5DSKZPL3NkOHcjZ/eaGHe3YkGRgtgKkKnDAnyuuXVHDs7Ci6RwpJCjImCj94tIM7R/1rVjQESOVt9g6Nv9ZvXlXNu1fXuJ9VFIX3/7WDzpECXzmnmdVNDvo0b9r815MDPDjq3XP+wigfWlPDz54d5I7tSRTgd1e00FRTQTqddqRSswU+dutedg4Wf29rhU530sCwnOOxbPjMqXWcNi+G3+9nc9cI19zdTWG0QDe3ysfeoQKqAne/Z5FzfUcLUJlsFj0QduTjTcjbKiPpLOm8ScFWSeVNUjmHWaUq8M41zvmWYrbce4FAgLW743zh/m7mVft5/zHVfPb+Hldy/ppTGzmzLTjxjeQJWdAICq+0SelFEZcy0CcqFAWDQTcJ7h9J85n7etg3VKA5qvO9i+cQ9UhUyucH0gYP789x2+a4i9YEOLY1wsXLqji+NYxRcDyuH9o+wG9eGGLfkHMPVwVV3r66nrPbAvhGvUD9fj9b+nJ89Lb9KMD3X9fMorqgW+SV4p3f7+dP63v5n2firGoM8I1zm9wErWCrbOpOsbk3y6aeDFt6M6QK4x/Q1phGTVhnOGfTmyyQKQOACOkKi2r9nD43wpnzIuNk1w/GSElaOndsGuDWbQmGs+OTqICmsLwxyMLaIN2JPE8dSDFap6U6pPH6xTEuXBylIqAVybjJGHL+L3ZgAx8/qZaz50eBsWTOKws1XVLlE0XpWC8F+qkyNsslmodSgJD4R5C8hJmc6nA//sMx9u/fj2EY7vhW6gktnmbClpzKonQq454U+UqZk1KEAtwFvuSV5ewqynmQSxFF/NVKCzzyGRnrDgYOmuh4DMsmYers60/RlSjQnTSKflJllI684dcUGqM6zVGd1uogzTE/NQGLpqjO7JowkYDPzf+EJeAt8EkxSdf1cV6QklMIiO9nT/fxxxcGaY75+N8r5xPwaW6+InOpAMF8Ph83bYzz6/WDRQDF1c1BPn/ubCoDY6ycbYMG19zZQcSvct2lcxlOZ8Yk5g0bA5VUruD6uHsl5nOm4wefzhsYtkqmYJItWOTN0Qb8/4HkvMNq9/q8Owx4+X8Ni0hAJ+TTUG2TaMiPZhsENIWKSBDFLBD0aS5bPjAqWx9QIaCr6OpYkTaZt3iyPV1Wbr0hopHIWWXzI2/Mr/bx72c0UBdxrn/HSIFfvzDM2n0p93iW1gd4odu5v6N+hWTe5g3LKvjg8fUARfO9rO2EdS6M5w/fso9to/7Zy+qD/Me59eP8UEufIy/j2+t/ms5m+dJD/a6qkV9T+Pzp9RzZFOSmzSP89oUhLBuaYj4+d+Ys5lcq7ucnK/G8XLlFb1GxXGj+AH9Y388fXohTMG18qsKVKyu4YkUlCvB0Z5b7d6V4piPlrk3DPpUzF8Q4a26IxbVjz28gEMDn85FMJovkU999ww72DRX40pkNHNsSco/ba1ExVZnzqUY5yctSy51SlvtkUW48nUzdaKJYvHhxEXPztRgzOdXMOTjcwjAM9uzZ4yrgedfpUp+RXONQwJdTeW9priY5kDSWpNkkzSXvmCa572SgHm+DXFQvvY0cb352sDxY8k/LsnjjHw9gWHDmvDCfPq2JYDBY1msbcGsuIrEuzbFSNnepvLgcm5wXqVPIGGvbNn98YYCfPtVHQFO47rI5zK8bz7wPhUJuzijN/tLrmjNM/vxCP3/cOEx6FGV56two7zm6irn1MaDYW9wLZpD99DbsSms94XCYFw7E+fJDvQxlLerDGl86q4G2qjEmrTRNJW/w2gfK90h+XXptRfFJ2PlS306lUm7NV0KAuIZh8HxXlls2D/PkgTF1woW1AU6bE+KJ9gxb+pz795S5UT5+ShOVQc19RuSYvU19L8DwUMFm3qbxvqTCx2/bR960eeOKSi5dVs1Hbj/AcNbklLlRPn1yDerovVtu/h7Kmnz0zm4G0gZnLaggmc3z1CgZS1Pgq2c10Jmy+P0LcRfUGdIVN3+9bFkF711dja6pResV27Ynlc4vXSeW2ip4PbNlO5LPlqoWlXrbCyu7eyhFf8qgP22O/hhOY3uUeT6Sm7zXMFGoCoR8zrpBtW0M22Y4Wx5MrCowK+ZjYV2Q+dU+2ip15lf7qQ5prkqFNMUBV0G29DqVEvYmUumQ81b673RG6f1aaplVqkx1qNt7KQz3UCjEggULpvz+v9eYaYxPEDPJ5uETpmmyb9++omYs4E4W3sV2qTzywaJc09sruVM6eHkHWxlwS4uPlm2TMDR6UiadiQIdQzk6hnN0JQzah/MHLfaEfQqzKvw0RjRmVfhorQrSUhmgOaozkDb4/L3tjOQsmmM6Xzqjno6Ewf27kmzqzZWV+dYVaKnwcURTEJ+mcd+OYZIlTTtVcWSVRerwmxe0sGZ2zPX1KJW9Lhfvu7mdnpTJnEofv7hyvnudSlGkcp5tRWXt3hH+uinO+q6xc9wc03ndohjnLIjQVFOBaZr0pgy+dO8BlwF8ytwoz3akyXioPSqgjErB//TyeTSHLFddYKig8rY/7kZV4C9vX0AsOHZdbdvm5i0j/O9zjkz2ioYAO/pz5C1Y2RDgm+c1uUwKgCd2D/Ljp+IuQrA01rRGSOcdT77PnNHMqbMDjBQUPnLbgSLf9qCukDVs/Brc9d6l45C2cp7lfpQCkfgPegvpwtiRhN2LLn1gT4bvre1lTUuIb76ujQ/dtJsdo019Ob6phjdpLgcWgfI+qyLrKp+V4r9I1iq+IJ+4bQ/b+vPUhDS+dX4jsyoC45DH3tB0H0/sG+GuHSmeaU+5BeTasMaFiyu4eEUtEaWAadk8ui/F714YpjvpnP/6iMZbV1Vx/uIqCoUCn7irm13xPBctreLqYyuLjsmLku5MFPjAXzvRFLjlXYtRjGKknyRYNrAvnmNL39hPZ2J8wzXqg4qgTrpgkciVTxprQxqrmgJcuCjGyqbwuITXG1nD4sbNKf680ZHaCvsU3rCsgrqoj/WdGTZ0Z4mXNMtDukJdWGcgY7isn4CmcM7CGJevrKYhhFsg3tmb4OrbugC46e2LqA6PSeILMEnuvelujJcriMpz6V3sTTW8Y73I/Upj5FDkkFtbW6mqqjqk7/57jMM9pzrcj/9wi2QySXt7u1tIKIe4l7+Jr+1UipjlwDVSSPL6yJXK9wqTxWtT4pW1lvfBmHei5KJe1quMaTJ3eQuDMiZ7JYHL5WfuOcqZDBk6e/qTo8WSsZ++lHHQgkl1UGNWpZ+GsMrs6hCzKnxU+y3m1ccIkkdVlCkXvIQZ65XGTKfT7n7LXCDFviLGvB7gXTfuYiBt8o4jq3jvCbPcgpOcG/H/FDCcz+fj+r91F6n8KMCpbY5SSnUsxO+eH+AXz/Rx6twoXz7PUe0pLXhONpdIU9B7D3r9R23bkYQvWAp/2jTMTZuGWdUU5F2r60hm86D6uGf7EOv2p6gOqly0OEbBdtjRmbxJ1rAwbJV03iBnOkBQYbs7zXfbBWq+GqEqOM1yTS1qwOsKpA2LkZzFYImsesSvMCvmQ1UUdg/mxikuhX0Ki2sDmChs7slg2s73nDM/ytyaANc/7UhlvuuoKuZW+fjyw32oCnzngiZWzqoYx0qTZx0gmzf44C373dxtTUuIay+cMyEgxd2nCWQUvQ3S23ZkuP7JXvdYL1sa4wPH1bF9oMC1j3S7Nk7vPLqGq46oxu/TD5rjTMT4PlgcbGzb0JPjJ08NupL0RzUF+efja1nQEHMLsvLcDWYt7trieK5Kvg0OK+iCxY60bGVAdZsN0nQ2LZvL/7gfw4LfXDWXlqqQ2+gXFr4A41+uTLk3yuWpUjwuFAovSYlOxm4Bah5qTgmHn+TlP2rMnIPDK7q7u+nv73d/L5dXSq432Vq+NErHKWmweW1SSsd9yWlkbS5+3N4xTdbsMtbI2Opt+HrzX5Fa94KFvHaHwhwvle8uDW+e/KUHe3imM0tQV/jzm+eMO15hDntrYtIsk2MsrUtNNa+UzwOYlsWn7zzA851pFlT7+fYFTYSDfpeMIFLn5cKbn8q5Gc5a/OHFEe7cNoxlO8SmK46o5Y1LwoT9qvv90hgWlrZ3LQCMA/zLuelOFPjig710JAwifpXPn17PEY1Bt34oYDyvJYo35DsFdOoFEAjoVJR/JC+Wz3ibilIrl3XN7v40d+xIcd+OkSKlnnnVATb0ZDAtZ21wzamNnNAWK8prys2fYm91KHNxaSPy4V3DfPMx57msDqrEsxaLagNce24DQQ/5xEv+0jQNn9/PZ+48wDMdKWZX+vivS+agWgVu2jTCL9cPAU6++ZVzZ7GsRuOunWlu2BAnUQIMPropwJfPbyPsU4qOV2rUpXV1ebZL7Qy9z6cXvCfKm941pkS5xm85FbJyYdk2WVunZyRPTyJHX9qgJ2nQMVygN2UymDVJ5qyXBODVFIegNdE6sjqksaAmwILaAAvrQrRGHJWliljUrSeXSs2Xu9+960KvJL0Qa15KfnawmOicA4dcF5WxW3JJUSs+1Brr4Wj7ONMYn4l/yOjq6mJgYKDotVK/BW/hoVQyaLKQSVhk3SabeL0MQ1VVKZgWj+xOkMhbDOZUOkbydI7k6UoUDlpsqgiozK700xTVmF0doi7oNISbojoVAdX1NxGfG9u2ebo9xRfvbSdn2iys8fOlsxqoCmru+SgUCtz04iA/fSaOrjqTTu4gIPX6sMalK2o4fU6A6pDGz54b4pbNwyytD/Ljy+aSyWTcBFwS0YkSw588NeCyrP/n0lnMivmKUICTRVfK5q4dCe7eNoaw9GsKZy6Isag2yK+f62ckZxH1KyyqDfB81+jE5pGXfNOqGm7YMEhrhc5PLp7lIjtt2+avG3v54d8GWd4Q5FvnNY5rsgWDQR7bFec/H+8rkgT8/oVNLKx1imQDaYNfrh/hod2JSY/lfcfUsKUvx7r9KT58XA0XLKvlY7ftY9doM1rBkcIUufWIX+W2dy9BVdWihnKpfyOMeRGJfJRMjH6/30WHyrMgC56f/a2T328Ydpu+j+9LuQkiwC8ua6HhEOW7vRNyKRtCEnvABapIcV6k3kVCyTRNkuksX3mkj+c7M8T8Kt88r5G2Kv+4or4ggEV6SsAolmXRnTS4b1eau3eMuCxpVYGT2qJcvKyalfU6mu7jthf7+cPGYRfVOafKzxFNIe7YOkzUr/K/V8wlpI6x4CW8yccH/tpBZ8Lgs6fVc9Kc8VKH5YABAMNZs6hRvmNgfJFXBaIBlfwou6w0dBVaK3wc3xridYtj1IbHrttz3Tl+/Ld+ekaLkafMCfP+Y6upDesuMCGVSnFguMALPVk29Rm80JVy/aHcfVCKE9UTZke4dGmUlQ0B/rolwc+ei6MpcOe7FxYtYOS6S0Niuv3FJyqIvlTJY4lyhYtD2e958+YRiUQO/sa/8zjcc6rD/fgPp7Asi507d5b18fLKD8qS6qWwFaSoeDDZX5HHK1UaEg+00s+WFry8hRCvP2G5ecjLGgGH9d017Eic9yRN2oeyL431HfPRHPPRUhWgNmDTWhVkVmUQxcy747bsr+TZco4kb5lqzu5t6h+sKOBlDT2yJ8XXH+okqCv8/PK5VPpGfREnUBoRdkYmV+BHa7u5b1fSBa5pCly4pJK9g1le7M3x4eNred3iWNG5lfM9lcLFRMUxb3zhwT6e70zzoTU1XLai2gVBJvMW77u5nVTB5l9PreOcxTVFoFQvaBfG/BrlX9OyUXQ/OcNmJJ0la1goviBDiTToPrIFi0Q6h6FopLJ5THQyBZN03iBrWBQshVTOIGPY5E1Hll4Y8nnTImfwqrLej58d4V1HVdE5kucbj/Zh2fDGZRW8Z3UVqqry7XWDPLRrhPnVPr5/UQvRsNME9QIs0uk0ybzFP9/W6eaK5y2M8ZETasrmt6XXOBKJFKk/eGU05Z4sFAps6U7y2ft73DXH/Bo/3zynERu47qkBHtnrbHdVU5DPnd1KRJla8U7UfeQ+KOeN6n1vqXqFRDxj8qsXRrh/5wjgFLc/cGwNp7Y5amnRaNRRuCphsti2jWXbvNiT44E9aR7bmyQ/+vBoCpw4J8IFiys5ol5HU52GTPtwgQ/d5jyft75rEfnRnM7ra+td30xXTNWD91DCK1P8UuJwlLz8R42Zc3D4RDqdZvfu3UWvlUr6Hkz1Z6IQCWBpRB5szatpmmvD4f0eUUKS2pg0xL11GcAFDXrtfsRnvDQXlnnAC+SRplVpXqNp2jgP3T3xPP/vDgdw/4XT6zh+dsTdV5mbJGcsVaTzNpukgVRqFTSVkHm9ezjLP996gJGcxRuWVfC+Y6qL3uclyUjtuPS4S6039sbz/OzZOOtHlWuqQxrvOKqas+eF0VSlqHYCFNVPyhECvHn/SM7kqw/3saUvh67CJ06q47S5Ebdue7D7y3v+pPlW+n0CYgiFQu53e+8Br4qht05jaAH+urGfW7cOMzBa79QVCPpUkqNriwsXRXnfMdXUVESLaoqKomAYxktS8fOeI++9/4eNQ/zuhWEAYgGV/7lsDnURX1HTVAAd0ajTfN3cEeeT93RjWfCdC5uYW+V39+m5zgxffqjXXRe8d3UVb1hWQQGdW7aM8KeNg0XkrfqwxtfOaWReXcQFcwjxRu5b0zTd3NG7JpH1iPQEvMATySnlOnrD6+FeGhNd74lCABRetnIul8MaZYMPpA360iY9yQJdKTgQz9CfNhnOmqQL06N+pSuOOuvy5giL60IsqA0wvyaIXchOqnrkBdDImk+IMNNZp5SYTAXgpTbhX26tsqamhlmzZr2k7/57ipnG+AQxk2weHpHP59mxY0fZQd3LfhEGjXdCnUpMdfHrfZ8senMFg8t+v7/s+1WgMebIRDbHfDRFdRoiGjdtHmH7QJ7mmI/r3jAXn5UnEomQzWbLLqLD4TDpvMl3H+vikd0JTBuObg7ylfNmo5jj5XWSmRzvvWkf/WmTM+dF2NZfnqnqjeqQxvJ6P+cuiLGsKco7b9xDzrT56jnNHNsSKkITlqL8vXH/riTff8IBMJw9P8LHT3Lkhb2FoINNCIovyD1b+rlt23iZ95qQI+vYmTBQAJ8KUrc9tiWIgsLTHRnesbqWdx/jyCRKEvHV+w/wyN40bz6ikrcfWTXue2WC2T+U51/u6MKynQb2506vZ01LiNu3J/jdC0OkC450ucjZe6OlwkfHiLPPbVU+9g0VeN/qKjb15vhbe8aVL79yRQUnzwnzsbu6AYj4FG540xwCgYCLEpRipjS/vbJSXnSuqBZ4709ZwIjlwH89Fefu7SO859g6Ll8awbRsrr6ti85Rxvs7jqziTUdUTnpdJEplS2HyZygajbqyNnI8khj4/X4KhsnXH+pm3YE0IV3ha+c0csSsWNkmvxybsIO9Y4LIhSXTWdbtT3PnjgSbescWji0VPi5YFOOseWGCusId25P8edMwI56m8IWLovzzcTWuRYIU4iTkPv7R2i5u3jTEeQujfOSE2nHHPNVkpWDa7BrMu43yzX3ZcfcUgE9TsCy7LJs87FOYX+3HsBW29jnXozGq86Fjq1nTGnbPi3hniiSvu1gvGLSnbJ7vSPPMgRE29eYm9LdviGhEfCp7hgpUBlVufueSIgniUtDEy21Yl8ZkRYSpnPOJGOelrx1qQfQfQfISZnKqw/34D6cYGBigq6ur7N+ksOMtGB3qAnSqi9/JiqSSZ0mBpBRt7m3ciyymFE5Lm+wSXpbHxb/cflD1InDAWH5NcX8caW2H7etTQVMdv29VARRQUVAU8OkalngFKs77wAbXY9j5nGUaqKqCrulYpoGiMLo9xflXVdA0FdsyUVDw+Zz3+XSd0fKMA5Yb/ZyiKJ7/d7ajaSrYNn/ZNExX0mBRrZ/XLY6hIvsMwWAAo1AAbPezCs62fLqOicpfNg3yYvf4++ATJ1bTEPO7qkUKCqrqfJbRfE5RxlSNRLYx4PdhGgYK9ihIQEXXNHRNHT1vTtaYzuZ5z02O/+X3LmiiKaZj2jamBYZpc/PWBLdvS9AU1fnsmc2kc3kM02Gbq7qfguX8v2FBMp3FRMGwFTK5AgXLxlY0MnmDgmljKSq5gkXeMDFshZxhYlhOvlKwoGA5LPO8aVEY3ebfS6jA/R9YxpN7Bvn3B3ooWHDOgggfPaHWLbL3JbJcfVsniZzFe4+p5fLlMdfDWvLsgbTBh2/vcou3ly+v4OqTmsflHxOBIEXSUkCsUtSU8DLhFM3HJ27fz5bR/C2oK3z17AaW1gV4cHeKnzztSPrH/CofO7GW42e/NN9pKaqWjkvlxgnLtrlnZ4pfPR8nmbdQgEuWV/OWlVGiftUFYosVg6yzRJpWGgbSwCmgc9/2OA/sTruS9AA1IY1zFkQ4Z0GUvfEC33i0j0W1AX586Ry3uC5reilgTrcS0UTbm2pze6o55KEw3YPBIAsXLpzSe/+eYyanmjkHh1Ps3r277FjizQe9ikCHkldOdfxw2c+jShulYEsZ12Qu87KBYTwTFXBJSALULAcoFTajhHxnubGw1Hsd4B1/PkA8a7Gwxs/3X9c84fF56w3ynQJsLFUMknX5RIB6sdCRY5Dm/iO7hvjaw70AfOWsBlbPCo37fCkZqxz73yt9bds2T3dk+PmzcTpGa7Lza/xcfUIjx7RG3fkzm81OagtX7p7JGRbfWTvAugPOef7g8Q28fuGYCoA0roVQUlZV6RDDC7KVmlwpEEKuva2oPNmR48YX+l3VT2+0VPj41Cn1rGqtdGtH3mvzUmtJktcJ8Pa6pwa5a4eTrwV1he9c0ERblXOPRCIRl+ghzGNRw9kXz9KZtDi2yVd0XKqq0pWGq2/e6wL/TpkT5ppTGwn7NZIFmz++MMjNm+Junqwp8OGTGjlvXrBoW6X7XW5cKK2tlapcSa7iBRNOpAY22fccSngVNSXKKctK83y4oNA9kmfXQIaOEYPetMlAyiCRf3nWUQHN6WXMrQmyrMbHCbMdhTJFUYrUPwXkI2OHWHW9FLubyWIidd2pnPOJZNJLawSHChppbGykvr5+yu//e42ZxvgEMZNsHh5h2zb9/f309vaOGyS8A5k0zAQZNdVHYaoTQ2lRMhQK0TeU5K1/bi8rA6KrMK8myIIaP4vqgiyqDbKgLkTOsPjnm/fQnTQ4sinIV85qIBhwEF1yDDLhyWD9qbs72ThajFvdHOQLZzRQGYuUTcAH0gY//Nsgz3aOP6aakMaaWUGSeYttA3kGSiQLQXxBFFJ5m7nVfn70uqZxcm7KqPylN7myLIsN/SafvbsdgHnVAX54cSuK5Qza0lQ8mE+eIPZSBZvP39PO5r7xyZBPdeTSLdtJMkwbPn1KHd9d149hwXWvb2ZRY8xFxKqqyuW/2U48Y/K9189hUdV4eTpJtl/szvCZ+3vHjhWHJREfbVguqvUzvybAPTsc1rimwMVLY9y+LYFhwdI6P1v7xxK/5fV+Nvfl3ab4/Gof37mgGZ+m8IFbO+kcKaAAP71sFk1RJ+nyMsgkyiVEXia11zOoVMr6iw/28mxnhmtObeR1Sx30622b43x/bQ8ALTGdX1wx1y2uHwxhKt8tgBRhxZULeW4EVCEKAgJk+d7aPu7blURX4VsXtXFEw/gEWAqKXmSjLIZEvsortyTI231Dee7akeTB3UmXkeNT4ZS2CBcuirKkKcan72pnW9/Yvq9oCPC+Y+tZXOMwfXz+AKZRcFlnAM92Zvjig73UhjV+d9VcYMyn8uUkV7Zt05My2NKbY0t/jm39BXYP5sY9o3IvlYuQrnB8a4grjqxnbmxM3l3uJVn8SULlvYds2yadzbFvxObp/SNs6MmyqTdbtvC9tC7Ady5sdhfess1cLucCM7z3yHQwfCYriHqVQgS8IWAKSXzFM/Rg8m4CKJlqLF++fJzf6GsxDvec6nA//sMpCoUCnZ2dJBLj1V+8snTCgjjUAsJUF7/CFBFmCOA2t0vZqF51I5Es9PotelnX3vzAC2QUFZZcLsfFvysP6pyJmXg5MQYqcNYT40EBTu6eNWwXgOrTID+aNlUENKpDDmhiIG26kpRRn/O3eHa893hAU5hVoTMr5senweP7UhiWI7t42vxKsEy8gIe9QwXW7U+jKY7/Yyyg4tN1LNMkkbf5y+YhN+85bV6MY1oiWJaJJX6mCvh9PsxRUAeW7R5bIOAAiW3LwjJNAn4fjD6v8p7KSIj5FcU5zW/Wx7nhxRH3mN5+ZBVvPqKSjpEC3143yI7RhvJFi2O8d3UVAf2l5RzlJHm9xbXdg3l+/NQA20bXMQtq/Hz4uBqW1Afx+/2uxKqXaeNV5/Ku8WR8k7HMNE22die4b1eSh/ekioCp5y+McM/OFGfNj/Cvpze7hUVhKEkOLuuH6ZK+nGysLm0qea0cpHFRziu4HLMHmPIcEovFaGtre0nH8/cUMznVzDk4nCKZTNLR0VF2bPI2Z2DMm/lQGOPAQRshMjZLg9LLPJbaaKkks1e+Wli/3vDmoOUY0dKgKxQKbm3Huz8T7bPX+/zXz8e5cdMICnDDVbNdqfHS9wv4SmSjRep7osapNEeFIVooFNxzIo10L/tWZMh/sLabWzcPURVU+a/Xz3LVOb0hTUGZFycKr7yzYdncsT3BHzYMu8C7E2ZHuPrERlor/a66SzkPZe81KA3TsvnZs3Fu2+asaS5eEuODx9Xh08c37A8VXFYO/AVj57acbQw410sAFSLDv32wwE0b46w7kC6qnSs4pKH3ndCMYluu2o5t225tSX4XgMfBjsF7v96+I811Tzg1zzmVPvYPF2iMaHznwmaqgpoLYpD6nbfJbJom+XyeaDTqXm8Ym88PDOf52F3d5Ebz0tYKnc+cVs/cUeXL/X0j/HbjCPfvHFtvLqwN8Nkzm2kMjVeZKq3Detd5XhCi9xmciLUvUU6pYbrIK6XqBBOBeMoBxr2sdd3nYyCVp2s4x954gX3DeXrTNr2pAvG0o2BWqrI5WWgK/PVtbUXrabmuMhYLQEeOYTpAl5NZzsLYMyK2FDIGiYWvgHy84BB4+Yzxw9H2caYxPhP/sJHJZNi9e/e4wcYr0wi4MiSHElNJErzNQGnC5fN5AsEQO7qH2TWYZ3/CZmtvit3xQlkJSlVxCjWzKvw815nBsGwuWBjlY6c0upOW17MnkUzyyxcS/OXFeNF2Ll4S493H1BLxa26yt7U/zw0bh3i2MzuuaXbMrCAXL6ng6OagK1sHoOo6j+1Nc9/OYbb2Zt0kzRu6CvOq/Zw0O8z5CyM0VEXd5j2MoS51XWdLd5KP3dVNzK/y+6vmoOCwnUUi3Ot7I1FOhvvF9iGufayfrkTB+f4qv+uJXXTddIW0YVMd0njfsfV8+7Fu2qp8/PyK+UV+fp0p+MDN+wjoCn+8cjY+bXxjXBK/j9/ZxY7BPEEN6iM6B0YM9zxcvryCDT15l9mhANdf2kxzzM8je1P85+OOPPmalhBPd4yfrHQVvv+6ZuaOIhSvububbf3OeVxeH+DacxvRVKWo2eu9lyORCPl83mVPCLtF/KE0TSObzbqfkfP9T3/ew554jq+e3cDRzU6BJm/avOfmdoZHG/7fvaCJxXWBKT0L3vdMxJiRKF10CZMtlUrxy/Uj3LRpCFWBL57TwjGN5eXcyyXlkhBIYg4Ty2YpviB3b+7jrp1JdnrQqi0VOp0jBjZw+rwY6/YnXQuE1c0BltQFeWhPiu9d1EpjZchtvGbzBlf83lFV+NFFzSxuiLjJ3nSzWdJ5iz0jNpt6M2zqybKlN10k9T9Z6KqzADh5bozzF4SoCupFgBZJYr0S9VKElAbz4HCCrX051h7IcO+OEQoWNEU1Pn1GC4tLACblPIu8qgYvN6bS1BaU/KFsRxbukqCL79BUQtM0li1bNrUD+DuPwz2nOtyP/3AL27bp6+ujt7e36HXJ8aQJ4mV+HkocrOjg9TMu9UX0FjOlISQ+5RMVUsUuQ5rgsviWMVgik8mgqBpfuL+Ljd2ZsoWG2pDGgho/86r9zK7U0VUFnz9ANpfDtp1zZ4Hz/6Pn0ilyKaii2mRaFAwDexTEKO8TTznnszY2CpqmY5gmpmmhqCqGaYKiOtswbUzLxrBtLFvBsGxQVEwbCoaJhUKhYGKO7oMwqS3bUVmxLOe7Dcv5rpGsI/utKo5aj43i7v/YvnmOz351pcBn4h8/mqI6f3jbYrdRIXKxz3ck+NKDfa4v57J6P18/uxF/wM/Pn+rj5i1O43xulY9Pn1LHnKqXplQjawyvOlW6YPG7F4a4bVsCy4awT+W9x9ZxyfJqTKPggrW96wvvOkBYS9IckSKz93vkWPP5PI/sSfKTp+PuunNJrZ9tA3nefXQVV6xwFKzKgYRVVXU9bqcjpjpOTxaOAsZYA6IUmFRqP3WwOBwlL/9RY+YcHF5hmiZ79+4dt+YtJ/19KCoSMLntRbnv8SqTAEUNNWnMeC35SkPGcckrZftiDeJVofMqLZVua7KxT8bXvGFx+R8PYANvXF7Be1ePSZjLPKAoSpEtiUS5BpHsm1d5caJzLp7lkmv7fD5yhsUHb9rN/uECx84K8ZVzmorOezlm/UTHKPunaRrBYJBcLkc8leP3G4a5c7ujBOqQbCp47/HNhDR7wjlpsnNp2za3bEnw8+ecmvFJcyJcc1LNOBDdodapJnq/1N/KqSsCrrJlOp121ySylumIZ7hpYz93bx8h7SnZV4c0PnVyLauaxrP0vTGVeVmu9VPtab76cB828N7V1ZyzIMI1d3fTlTBYUufnG+c0EtBVIpGIq44qpCqxsxSggsj5l/YZtvXn+My93e56yq/C1cfXcv6iChcc0J4w+Nzd7XQlxvb7rHkR3n5kFQ1Rvew95bU7kJA6m+SP3nslGo26+yaN1nI+5a+UrzaMNfBL72HZZ8Al/pU2o709AS/jXwARqqbRFU+xP2GxJ55n/1Ce9uECPYkcybxFwRxbrwU0hb++Y/64ayVkHlEmBed+CgQCk9azpxoHY3J7bXkni3IqcgL0kBz4UK7j3LlziUajUzuIv+OYaYxPEDPJ5uEX/f39dHc78tPCWpYCpkgFl5OKm0pMJXHz/m5ZlptICYIdxlDkXYk8uwbz7B7Ms2uwwK7BPPFs+UGwIqBxRFOQ+dV+5lXpLGuKEsDgh08N8fCon/W7VtfSmShw3w6nMFIf1vjAcbUksgY3bhymO1W87aCukDVsakIaP7+shVDA56LJvMwkbwxnDe7ekeSJAxl2D+Ypl3pH/SpL6vycNS/KyW0hgn6/m3z2pQzec3MHmgK3vHUOkcgYq12atDIZeNn93qT20QN5vv94N3nT2XefptCTNFAVh629rX/8IiKkK1SHNDoTBu9aXcu71zQCuEWav24Z4afPxjm2JcyXzpxYRqQ/VeDdN3cCjnSoSOMIQ7eUqXvZshj/dEyN+/vtO1L895NOc7wxqrtez/K5966u4o3LxyTLr76tkwPDBZdB886jqrhqZaXr4+MwTMYSDO91K2VieBdA8tlgMIimaVz0iy2k8hY/uXgWsyvHpK5ufHGYX68fAuCixVGuPq52SoxnQb8qiuIsaA6ysPP7/a5njiAf//fJLn7zgvPdnzy1kTPagpNuwxuyHbmXDsZIduWcbJsdA3nu3JHgkT0pN4FVFThvYZSTZodZdyDNvTuSRff+BYti/MvxNUXb/PJDvTzdkeFdR1Vx5cpK9/4uBTNMd6TzJv/7QoJ7tg+7bKupTvpRv8qyhhBntIU4uS1ERTRaJB8aiUTI5XLu/stzubUvx3881kdf2sSvKXzg2GouXVk3bqwV9HQpS/xQF/8TxXSCDkoVF7w+rAdDe3rjH0XyEmZyqsP9+A/HsG2bPXv2FCkByVggFjdiH3OoY4+gwadS4JL3SrFRinMyDkkzaTKJPckHFEVx0e+ChpccVtjmIuOZLxis3TPMDRuH2DFYPm/2qQ67YXGtn6UNYSK65UhrWzZoPkeOe1RSO2eY5E17VHbbpmDi+X/nX8NWyBsW5ui/ecsmb1hj75H3/R1JdJeGpow1+0M+hYJh4yUxO4DSANVBFZ+mOD+jkvS6Kr8r+HWFkN+HYpn4NNzX5d+QX0fF4rtr++hImHzwuHrWNPvQNQVdAV1VUBUFC0jlTf7fHV2kCzYfPr6W41uCTh5jgwVomo7u85EbvR+yuTyGYeL3B8hks6AoaLqOoqrkcgWUUSaXZTtrnmw+j6qOAnhtm1wu7wE8lANLOOCEpKFw97Yhdg0WinIVvwam5Sg+hX0Kl66opiHiY188z13bhsiZNgHNUcA5MFxgz1DBPffLGoIsq/MTCvhIZQt0pSx2D2TpThbnXlG/SktMpzmmEw1oRQCIVN5i7X6HtbSsLkBAV1wPUIAV9X6qQ/roMdklAA9AUTAtaxw4xD0fOMcv4AoUxxLHwqY2pPOt188tO6ak8xafuqebfcMF9xiuPbeRedV+nu3M8L11/QxlLfyawvuPqeaCRdFxhdNDCdu2ebIzx38/NUB/yjl/p7aF+adjqqkN6y7gRt4LuOxD77gpuZ/P53MVoqSg7JXzfKG3wPce76E/PbbOaIr6ULDoSpp84Yx6jm8dk4v3Ai5FLnQ6ZS9fqodpaXjrBFIX8I7XhzKHNDQ00NDQ8LL36f86ZnKqmXNwOEYul2Pnzp3ueCkyzZLfwUtrjMPBgTzebQrhxkucEHU4aZoJ8LM0r/SynAFX7U9qUuI/LjUoafwKc9U71k029nnH32vu7mJbf56qoMZvr2idcgNJmOdeufdDYVt72ZliOaLrOls6h/n43d0UTJsPHlvNVUc3TgjyF4JBue17z4/US2Wu3D+U4ydP9PDkAacOE/OrvPvYes6ZF6QMh2ccqKFcPNGe4z8e7R5VsQzwhTPqqfQw3r02pAJcm6yGJvX20mMTX2ypOZbeL8LKlwau2Pp5m78Dw0kePZDjd88PMJgZu84Lqn18cE01y+qDZfObqc6nnWmFj9y6j6xhc/7CKP9yfA2KotAxUuCau7tJ5i1ObQvzqVPqiI7WrEWmX1jQAswQtZyJnr9nOjJ89eHeItvDcxfG+MTpreg4eUsqleIXzw25IEdwctrXLY7x9tX1RLRDy2tKn92DjQ/SnJZ9eSXDq4LrDQGIlMsrAVKpVNH9LYQe2V8Zi2S7pc+C7vOzuWuERM5mzeyIK4svIYoTMh6WKmK83JhOG8lS1Tghx0mueSiqI4sWLSqydHqtxkxjfIKYSTYPv7BtmwMHDmAYxjhJbiloirTOS4lyg6IUGb0NIL/f7y7MZaIvbTJ7ZTJlUu8YSLArnmf/iMX2/izrO9NlWdrgFNYMy2naXby0ktcvjtIU09nYW+B7a3vpS5VfyK9sCHD58gqOm1vNO27YxWDG5MPH1fDGIxvc4upUIpEzee/NHWRGGdnDWXOcZLyCw6pe1RTgshV1zKv2cdGvdgLwxytbqauMjBuwZTKUwq8kvplcgev+1sftW4cAmFvlp2MkT8FyJOBbKnxs7HG29f7j6lnV6Oejt3eM26c1LUHecUwjS+vGFgfSxHzv6iredkxT2cQ2FArxqTv28lzn2P7OrfJxxYoKbtg47DLHpRHp1+DGN81GH0WaykT1q/XD3LgxPm77lQGVX7yhpQi5+e6/tNOfNllcF2R7fxZNge9c0MTy5hiFQqGoMC+Lh1Iv8VKPIJFNdWVZFJ1Lfu1ckxvfNJuwb+z7k3mLd97UTt60CekKt7xrMYXcobEwZNE1kfy0d2Hj8/nQNI1btwzxw1EZ9w+f2MjrF0cOuvARtLBhGIdcECuXpNy/K8H3nxgc9976sMZgxixKbBXg/MWVXLU8SkPUYbXfsS3BT54eZGVDgG+e1+Qe62RI7pcbz3VmuO6pQbf4e/KcCO8/pgpVga39eXYMmWzoTLJrMH/QpoLz7Goc2xrlvPkhFtY6yZIXDW7bNnfuTPPTp/tdWdIvnzeb5pCz8dLFUjnmI7w8eXlvTIcfksShqB5MFtFolLlz507LPv1fx+GeUx3ux3+4Ri6Xo6Ojo0i+ThbaAjQTVsyhhlcq0hvl5iSvPOREKhsiYQkUFRWy2SyBYIj/WtuJaSuYtkI6l6dggqWoZAuG6xOdc5vSJvnR1wzLfln+bq9G+FSncezXVHwq6JpCQFfRFAj6HBClroBfVwloKn59rAnt11V0xUZTbPyayo6BPI/uSRDQFd5/bA0NFWE0xUK1LXQFIqEAugq2kcenKgT8GhXhEFgGtukoQr31T+3YwK/f2EJLbYyn9gzy/ScG6PGAVFsqfHzipDpWNIXL5kgHkwA1DIP+RJa3/dmxKPrN5a201Dr5YTkA8B83DvHbF4aZXekoJ+U9+Zzkk1Ik8oI2vMV0AbTK/aXrultgl2K+SFpPFuv2p/jNC0McGC5eqyyo9rGiIcAd25OYNiyu9fO50+upDmn86cURfvvCkGM7VBNgUW2AB3aNYFhOznL2/AhvO7KK2bVR91kNhUIMZQp84o4D7IvnqQ5pLKgNsr4zVZQHza70ccqcMCe3hWmrdHL223Zk+J8newmMSrnbOGuva89tZFn9xGDNl9JMLV1LHixf/O+nBrl9uwOMVoB/OqaaS5dVOJZQ6/p5rss5/pNmh/l/J9QQC4yXej1YdCcL/M/TcVfhqjnm40NrqjnG46nqvUdlrSPypuV8UEuLlKJw9VxHkh+s7aPLA15oiOhcvaaaE+ZWculvdpE3bX55RRvNsTFlNi+jSLY9nYXH6YyJLK7g0PLXlpYWqqurD/7Gv/OYyalmzsHhGv39/YyMjLggIRm7hK0ojcSXQuSZqBlSWsOURjWMjZ3lxk1pcEpjSsCUUuMUP15vM0ryAFESMU3TbQBDsa/1ZD7H3nimI8OXHnIUnL53YROLaqfWxBHPcml2WZZFNBotUlCUHEZYzN4asre5C8Vj9R3bk/zkqQF8msJ1l81lQW1x/i0EAWkAC6Pftm2CwWBRPl/aPBfwQS6X45n2JD97Ns6+UQBga4XO+9fUckxzcR4iIAuvGpR3XpE1xMbuDF99pI9U3mJWTOcrZzXQFPMVAcwEPCtkm4nySgkBHZTWw2U7XqKOFyhWbh0kfuRSQwqGQty2sZefPzdUVBefX+3j8uWVnNwWRh9VPJ1qrW0wbfCJu7vpT5sc1Rziy2c1EIuM1bg2dGf5wgM9mDa8+YhK3n9CcxGQTa6dPDvlWNCl8cDuJN9bNwCM1YvnVPr4t9Pqi4hJz3RkuPbRXnKe0lhQV7h4SYzLl1cQnWI+dzAbl4niUBqqLzcOZt8jPRUBp3ib1RITAQDkmS5HECtH3BH1CFE5eKngxcliOmuV3nMVDAbJ5/NF9/6hfNfhaPs40xifiX/4iMfjdHR0jHt9ugai0u2UmzxKJyIvQ2cy1qEg711fnGCQf7+3nSf2pwj5FI5pibA/nmP/cPnExK+Cpirj/PXA8R7/l+NraBj1qQ4EAvzphT6ufyZOfUTj+ktaJvQlnyhu3Jzi18/1M6fSxw8ubOTFAYu7tg2xuTfLULaM7Pqo37cNXHtOA0c0hYokhISlJAsCOa8jhs4X7z3gyqW3VfpctsTqljDJnMn2/hy6Ch8/qY4Ll9fz5/U9XPfUIPNrAiypD3LXtuGifZlfE+DChRFOaQu7Df4fvK6ZlS2V4+6TdN7iNxuGuW2rg+BTFaf5nssX+N0LQxQsJ2EJ6ipDo6z/41tCfOFMB9HvLYZk8fH2P+4iW+YandAa4l9PrXel3N9y4wESeYvzF0bJmAqP7knQWqHz/dc1E/brZSc/r9S1LFSk6Sh/E7kiQaO+64ZdhH0KN75pzrh9+tkzg9yy1Sm+ffmcZo5pemnSjDAmXSULk9JkWNM0Hj+Q5RsPdmIDbzmikrcdWTWlbb+c57s02ckaFlff1klfyuStR1SysjHInzYN83zX2HOuKXDCnCjJbIEXepxnXVfhwkUxrlpZSc60+KdbOlEV+P2Vs4n61VesWBfPmPzs2UEe2escQ11Y40NrajhrSV3RcYm8Tq5gsite4LkDw2zty7G5N8tIfvLUQFcdMMrJc8JcsqIGv0/nPx5q5/F9zvZPnxfjw2uqqK2MlEWWC5tR7llBlE9nTGci///ZO+84Ocr6j79nttfb6y13l94TQgqBJHQIvQgCooAC8hMUVKodRVABQVGwYBdUBOm9B5KQkAZJSO+53tve9t2Z3x9zz9zs3u7dXnIBMfd5vXiFu9udfeaZ2ef5zLd8PiJgYPweiYf7oXSMS5JEVVXVYSdP9L+Iw/38D2fs27cvbXHMcPBK0ZGR6lmXGtjJFNQcqKsH+nhlMBTi7Ef3HdRYB4JQtjFCAjw2mVy7iQKXCZ9NxmqWkzqf+7qk0ZLMZhmzrP2/3WLGbjOjxmO4HTZkFCQ1gdNmxWmzEI+EsZgk3E57UneACGIau0lTJR0zBTzMZjOyycy1z+xjT3uEc6b4uHauT09aGjtkBYLBYFKB13vVAX62VOPGvz2nLPlv+wP8fk07HeHk4N6tiwqYWJLMP0UHQLokqxjzsv0B7lnWyuhcKw+dVQpkTqgHowpXPVtHT1ThloUFnDrRlxQcSt3bUqX7U+cK+gowRQBUvD/ds0Q0rvCPjV28ttNPwGD5YpFhQaWTLx3p48nN3by0Q/uunTDaxQ1H5xFX4JcrWnm/VhvD+Dwr9f6Ybhszb5STK47IYUyutR8PUGQL33q1lq3NYfKdJn6+uIQit5lAVGFVbZDl+4N80BDqlyQ/tsrFMRUOfvhWE+2918pmknjgzBIqcgbnwQciRWkMRMPggbg1tUF+urRVU2cAjiy188MTC5Eliee2+vn7+g7iisYJb1lYwPTi7JSXYgmVZ7d28++Puogk1F6rqBwunu7F47QncbfUYmZjQYKxi8d4jsZA3vqaTn71fjs1hufaXLvMdfMLOHa0m0QiQYM/xjXP1WM1SfznkgqsFrP+vCi+68aEwnA97w93MatIeomkQ7oOumyPM3r0aN1n9dOKEU41MgeHKxKJBFu3bk37t6E8Y2ZC6nqSbi8RhUzG9Vx4kKfjScb3iYS66Po1qhiKJgWjrYZQzkxtWhoMqeO+6N/VhOIqR5baufPk4qyOkcqHjNLmxoSYsYM1tbDfyCuMHeQWi4UfvF7H6roQlTkWfnFGCfbeBhfj/iGS4GK+RWeuaFSx2Wz6nIq4XSQSSZr/hKLy2q4e/rGhk+6IdtzZpXaunpNLVa9tSup8pVMAFcnvvW0hfrikmZZAAp9d5vYTiphW6k4qOjPyz6HYiho/3/jZxvEYzy1doZiiKEk2UbFYjHAkwt8/1Dqqjc8b+U4TZ030cPoENyW5nkHHGY4rfOf1Jna2RxnlNXPfaSVJyWbBvV/Z3smvVmqJ7JsX5HPiWLc+PkAvIsgWDoeDR9c28rcPOwHNrikQ09SPvjY/j5PG9sWKarpi/PidZhr88ST1R5dF4sJpOZwzyYPDMngiM/U7nA2vGS6lnGyQrjlGFB4If3HQxi2eMVK5dWrntPhui++RuL/SPdOkHkMkxlM754eLVw63pabImwilJqMi51DGXFBQQHFx8UEpTP03YCQxngEjZPPwRE9PD/v27ev3++FMShnlgdItbgPJHxkXXiNBTEdezGYzCcnM157Zw77OGOPzrNx3Rhn7uhP85O16ThzjpiMU54P6EG2hwR/ey71mrjjCx9xyB7leNx3dPXz52Xo6wgmun5/H2VNydaIMDEpge6IKX+4Nsn3vpHKOq3LohC4YVXi3Osy7e/3saoukTQQ7LDITC2wsHGXn9Cl5yEo8ibDabDbW1QX56ZIGuiMJnGYJh9VEW1CTTr9gipcV1QHqexK4rTI/OqWMI8u1QMoNz+9ne2uUL8/JZW1diPWNYc6a6CaaUHl3X1CXQbf2doK4LFpHdMRAzFRVZen+IH9e15Ek4XPrwjye396jy7bPLrVzw9H53PlOM3s6+jbrz07zcsUsH2aTSduconFufrGarS1a97foOj5pjItl+zXp7tmldr57fCF2s8yFj1UTSahcMt3L+VNz+NoL9bSHEpw9ycO185Klu6EvECfuMWOAWFTciYcYUT27ck8733+rWQ/gpqI1GOfKp+tQgZnFNn56aknG+yEbiO+O1WrVSa/Ah00xfvhmPYoK50zy8H9zc7PaoA+WwKV+X/+5oZPHPuqiyGXiV2eW8vSWbp7aopFwq0nCaoIeQyJ5Qp6VqKLqlbw2k8R5Uzws3x+g3p/g28cWsKjKNaxVgqDJcL6xq4e/fqhV0MoSnD3Jw2VH+HBa5KT1SVQOiypJQRQlSSIYDNIRt/BhdSdbWyJsagpR6x+Y6AuSLkvw1aOL+Mz0vKQHbOG/GwqF9IdikVgWD9XiZzE2EVwVKgNDnatD4YkkkFptOpRgqSzLTJo0aSSI+SnH4X7+hzPq6uro6Oiv9DJcD7iiq0bs2enWsYF8Ho2dmgN1Bzy2qQdZUrHIEjKKnpR22MzIqoLTboVErDdpLeNyWFHjMT1pLRLZFllCUWH5/gDPbfOzq71v/xzjs1DgMlHTFe8nXZ3vNHNkqY25ZQ5mldgzdj2IwIQooEuV3RSBDePvBceBvi55MWfG7iQROBBJu9RAsMC29gS3vFyLBDx0bgVTStxJ3pyZug6CwSC/WdXGKzt7OHeyhxsWlqZ99nh9l58/r+tIShBPL7LxnRNKybFqv0sNxhqPI4LR971bz8vbuzhvsodr5ualfa0Rj3/UxaMbOhnlNfOnC8cQj2UuUDNyI/H/qWMShRlOp5N4PK4HrYz7cU1XlD+s7WBDYzglmGnmM5M9nDvZTU9M5e6lLWxsiiChWQd9dpqX/V0xfvJuCw3+uNb9b5b0ORuXa+XK2T6OGZunFROnSCLGEip3LW1jXV0Aj1XmnsXFaX23B0qSG/H1+bksnpDd2n+ga0MqbxvsuTWkmLn++f26NVOOTea+00so9VjY1Rbh3uWt1Pu1Z6ZLpufwuRk5mOTMvHpTU5jfrm7XC7BnFNv46lH5ejeT8Z4QBSeSJBEOh/VkteicSlesKL43u1vD3Le8mT0dffef1yZz7dFFHFdh0wtQZFnmrW3N3PlOC+Pzbfz2PK2AVzzbCLUOEQQVagViDRHJGuEPOxSOOFw2P9kcf6j3i9frpbKyfzHzpwkjnGpkDg5nbN26NW1SbbiSUmJNGahoPNNnif071UIN+vNKkSRMTb6Jzk7j56eL/QyE1D3wgZWtvLk7gEmG166apK/rg63TwrYD0LupxZjE30R8zPh5Ik6S6mUsEIvFiEpWvvzkHi0+NzmHa+f6dOsj4/UVzSBifgU3FfuY6CwXSXeB1NhGXDLz6AetPLe1S1cOPX2Cmy/M9FGS6+7HZVOvsbh+ZrOZFn+EH73dzO6OKDaTxO2nlHN0ZZ/9SraS90YM9rp0XeNGri74uPGaCRUjcZ33dUa5d1lrv0Yxm0ni5HFuzpnkSerANkJRVe5e1sqK6iBem8z9vXwpHSwWC39d18a/N3ZgluGuU4qZXmQ/4O+ouO/+uK6D57f5MUlQ5bPosePF49x8ZV6urh7aE0lw97JW3cbHZzfpDVg+u8zF03M4Y4JHb6jK9JlG5YDBrs9wFOYMBanqAVarNcmOR8QMU73RjRBrjOiaFoqzoH3fVVXViz3EOQYCAT3nIPiq+EyxDgilBFHUIl4jrMcy2SMMhOFOjBshGt+MxadDaRiqqKggJydn8Bf+F2MkMZ4BI2Tz8ERPTw9NTU39PFGGs5swk5+KwEAP07IsJ3X32my2pGCbEQ6Hg0gkQkN3lBtfaaA7onDSOA83Hp1LS0jlL2vbeL82mBTEMctQ6jFjN8vUdscIxfp/5SWgymdlTK6FUEzh/doQhS4TfzyvHI/LqROmbDb9xzd18ej6TkblWPnNWSWYZCkpWCISXfVdYZ75qI0XtncTzZBzy3WYmFpo5fSJOcwoNPOfzX7+tbELFShym2kPanKfRW4zX5pTxB9XN9ERSlDoMnH3GZWMydNIeFvMzBcf340swUNnl3N9r6T63z5bRYFdIxpv7gnw6q4AtV191+mIUifnTMlh0WgPtZ1hHlzRzIZeMiISgbl2mZ6oQkwBp0Xmy3N8nDrOzb7OGDe81ADA1EIbW1o0Yn1UuYNbFhXgsMjcu6yFZfuDuK0yJhm6ertQilwmvnSkj1+tbCeSUJleZOP2E4u49IkaEip8ZV4u50zysrlN4Vuv1ADwoxOLmFveJ2cIyZutqMATCUqj1KuoXI3FYry1u4dfrmwbsPr2zneaWVUbQgIeu1jrfj5QZPoebmoKc/vbzUQTKieOcXHjgnzkLKvWhoNkCBLU1BPnuhfqiSZUvjAzh3f2BqjzC2lyJ1+Zm0uO3cSG5hgvbO1kbV1Ir+L0WGUsJmjvLVKxyBBT4MQxTm5eWDisifHqzigPrWrX77NxuVauPzovSVrM+HkD+Qyl87rtiSTY3hZlS3OE9Y0hdrVFk+TjU5Fjk5kzysVnJrmYUpbTT3JYyOQL4jrYWmw2mzPK72fCoZSqT+0oHMoDUUFBAQUFBToh/7TicOdUh/v5H85obGwkEAj0S6wM55pus9mwWCwZbRsG2udER4UI+AG6351xrRLBLmNQ0HjsdOfjcrkG9JpTVZWtLRGe2+ZnZU1QT3yWeswcX+XEZTOxqTnK+vogEcMmIkswqcDG7FI7c8ocjM+36nu+CJSIvcJkMunnJRRxhLReOq5tPB9R+Z+aYHS5XPr4xb9iDxGBlHuXtbB0f5BpRTYeOKdKD56IjiK73d6vwFWWZa5+upq67hh3nFLKsWN9+vtCoVC/7pnHN3bonbmgcc255Q5uPCaPkjxv0r4jLEyM53npv3bS1BPnrlPLOLrKo48h030UjCpc/Wwd/qjCbccWcdI4z4D7mVHNSXhfimtjVH5JLfZ1Op28sKmZf2/sSpLHloDJhVaunp3L7Ko8gsEg1Z1R7nxHk9F2mCVuWVjA/Aon7+4L8KsVrUQVkopJi1wmLp/l4/jRLuReW6rU70ZCUbnvvVaW7Q9iN0v85JRiJhUMLr0aiCqsrg3yyIZOWgLJDysmCT4zxcsJY1263HomZFJ+GAjGwulMz4WpEMmHX65sY8ne3uI9CW6Yn8ep4z2EYgoPr2nnzT3ad3hqoY1bFhbotj8CXeEEf/2wgzd3a6/LsclcPSeXE8e49PMcKGAqunlE8YQIJqaitivKA+93sK3FIONvlbl6XiHnT8tL6+v46Nom/vpBO8ePdnLrokJ9XbPZbEnBUuPY0vHBTJ6WA83toZQTPZjEeGVl5aeeh4xwqpE5OJyxd+/eJL5xKCAK0zOtYwMVlLvdbiKRiN5wIZoaUo+VqQtTrNOp66go5sxmHU7tJm0PxrniaU0V9Cvz8jhnkifrxieR0Bb7siguNBZhigR4un1bfI4oCDTGKD5sCPGDtzSZ9x8vHsWi0R79XMWeI5SdjIk64/qfTr4Z0PdTEasRhYd7W3r424cdLNuncT2XReILs/I5Y7yzX6LUeJ1TY0Nt3QHuXtrCBw1hZAm+vqCYU8bY9XEZLT+zed4Z7Lkona2esOkTfxPxSyF/L2Ccs1hC5Z8bO3lqc7duc2OMh88ps3PuZC+zS5N9yP/+YQf/2dydlOhOB10iPSWRft/pJYzOdw25aM54Lyuqyn3LW1nay09PGO3itV09qGg2nd8+tpBRvYn9hKLyp3UdvLBdU++cVGClK6zohceFLhOXzvBx8lhX2qJHce3Fv4e64G+oGChWabRmErmFTDxJFOhEIpEkqwfxXC3OWxRnGlV8Qbs+4nMyPQ+n48BibcyW6x/KxHjqej6Ua2232xk1apQeT/i0YiQxngEjZPPwRFNTEy0tLYBBQjLLAMNQcaCJmFR/XaOckdg0RVJceOGs2NWqe5347HI/qfJRORYunp7D8VVOPG5NEl1RVRr8cfZ0RNnQGGb5/sye5aAFQmaWOplQYGdCgZ1RLi1ZPRCCMa1rvDuicNPCAk4a49L/Jsiw0ffye6/sY2VNiPMme/BHEmxsitAWTAzoXZnvMNHW27F9TKWb48e4+OXyZiIJlfH5Nm4/oZCSHG3DjEQi/PMjP49taGdeuYNFY338clkDE/Ks/PLM0mQPboeDq/+zm/2dsSSZGodZIpJQ9Q7hBVVu3tnjTxqT6BKvKtQCl19/qYE9HVEcZon/fK6Sd/cHeeC9FmKK5h8zo9jOSzu06sCFVU6W9speW00S0YTKaJ+FK4/0cc/yVoIxlUkFVna0RlGB7x1XyIkTtYDRw2vaeWG7n1y7iYfOLiXH3nd9jA8fRgkZAaOft4DoHjp9opfrj0rvWVfdGeWrL2pJ/y/MzOHSmb4BrtbASBdo2tUW4btvNhGMqRxV7uC7xxfqXkGZYKxQHg6PalE88KM361hRHSTPYdJVAvIcJq47Ko9jKrTKQpvNpsv7NPXEeXtfmJe3d9LR+3oJratJWBpIwDVzc/nMzEIS0YNTrYgmVB7/qIuntmiVwnazxGVH+DhnkqcfITYmRURVZCwWSyKDxiKddPRABLsDkTj3vdfG6l6vSeP3JRUymqzVgtFuLj8ynzxX38MkpJdYzYTh8h8/WBjX7KF0pptMJiZOnPip7xaHEU51uJ//4QpVVdm1axeRSETvYBCFl8OdOBnMUzrbJLwIZqUmgYydGoJzim4C0Vlp7BAWKjPChmOgc7XZbDR0R3h2Uwev7eqTynZaZE4d5+L8GQU0dIZYUxtkXX2oX6eH1yYzu9TBnDI7R5Y58PVym1S+bPRnBNImukTAMxwO6wVJIsAi/hNBUBHkFMWC4ppaLBbqO0Nc90I94bjK904q45gyi24JI/wWRWeCGENnVOKyJ/YhS/DviypwWvs6hERgVCTrAb3b6a8fdvLCdr8e2JMlOHl8Dt84pgCLSUpSAxJoCalc+VQ1JkkrWizIcffrxEmHJzZ18cj6Tsq9Fn57dumAHcTG+RfzmirpLwLLoCXe//ZhB2/vDSQpRdlMEieMcXHl7Fy9uNLhcLB0Vzv3Lm8hFFMpdpn4wQlFjMqx8NcPOnhuWzLvdltlLpmew1mTPFgNgd/UeVFVld+sbufVnT2YZbj9hCJmlyUXkqZC3OPxeJzb36jXuY7PLjPWZ+aDxuTg0iivmUVVmh1TpiS5CGJnE3pJPQfRNTPY+mK8Pu/uDfCLFa16AcHCSgffWlSALMu8uzfAb1a3EYypuCwSNxydz6IqF4qq8ubuHv76QSf+3ufD08e7+eKRvn6+5KlBNnEvA/r3x2w2610rxrE39cT5xYpWNjcbuvHMEp8/IpfPTHbrCYTUeXA4HNzzTgOv7+zi8iN8XDm/VP/+isBnaiH8QBiKetxwqzwNdPyhxChycnKoqKg4ZOP6uDDCqUbm4HBFOBxm165dQJ+Ht1hbh7vAe6C1ZaA1LvVvLpdL79YUYzXyH1FEaZRWT93DhOyvSNCJpNdQxv6V5+uo645T4jbzr89POKDYbmq8zFiIlakDXfh3i71OJOrEz39a08bTW7vx2GT+9Nmx5Nk1Xp1IJPS5MXZGG/cxY7xazJOICWfic2I/3toW5+HVrexq0/a1UreZ/zuqgLmlVp2XGIvVXC6XPu+C8/YEQzy0qk0vjLtkupfLjvDpHFl0zw4219nuYyJ+brSsS7VDSi0EzXT8Tc1hfvFeK82BBBJaUW69v68YsyLHwnmTPZwwxsXy/UEe6JVGv3FBPiePzWxzZ4zxh+MK33mjiZ1tmvT6g+eNxqIOHgcS94hRrl/cd7GEyo+WaA1YPrvMlUf6+OuHnXSGFRxmievn53O8Iab+6k4/v1/TTlyBcbma3c8LO/y0BbUYWbnHzGWzfCysdOpFxka+M1S1ho8L6dQtxfog5k38HtIXZwgeKP4T3y+x3qRaRggVIRFfFMltcY1EPiHb+ONQ+NuhLrg0xnOHkhj/Xyi2hJHEeEaMkM3DD6qqsnPnTn0RMHp7D1RldKAY6AF7oMCUICoiCBAKhfRuEpfLpVcrimRKTzjGvzb5eXGr5mctYJbhqFEurplXQGFKzCfdIq32BkD+9EEngaiCBJS4zXRHEklyjkbkOUyMy7MyNtfKuDztvyKXKSkI9OTmLv72YSelHjO/O6cMj8upew6KAGM8HsflcnH3W/t5dWeP7h/tdDrp7ulh2b4g7+4PsbkplNYjHaDQaWJ8vpX3a0OoKswb5eL2k8uQEn3yjoqqcvUzdbQEE/zgpDJe2NrJ+oYgV832ccFUTR5ETwZa7Jz39+3EFbjn1GJe3O7nPUPHE8CRpTa2t0QJxvuCvF+ek8up41x69ebujhjXPbMPgC8d6eMLs4uIRCLs7ojz4yVNtAX7SMhF07w82VvdCJpXYnsoQXsowfQiG1fM8nHnOy16gArgt+ePptKtvSMSV7jxlUaqu2IcXeHge8cV9gvIGb15BtvUheTnFbMLuHiqK+PrrnuhjpquOD67zD8+e+ABmVRCUNMV41uvN9IdUZhV6uT2EwqSAp7pYPxuCYmdofr8pBvX+3s7+H5vxa/A6ePdfMkQyIUMD5KymaV7unhlp5+PmtKvCcVuM5fOyOHEMemrOgfDhsYQv1nVrhP+eeUOrpuX16/zRx9ShsIdEQAWEkAul1ZIk44e2O12djf7+dnSFvZ1xpAluOwIH5fNKaK+PcCmtjgvbWlnd0csrRKERYZnvzAai8VyQBWq2ZLNQ+2HJFRCRFfhQB2URhQXF1NYWHjIxvVx4nDnVIf7+R+uMAYwoY/3GZVXhgsDFQINluw07ktCxlGs6WKPFK8TvEwc1xicFMGqVDlHESDL9EBv/PxQTOHtPQGe39atK67IEswf5eDcyV6mF9loCSb4oD7EB/Vh1jeGdL9ogfF5VuaU2VkwNpcxHnA5Hf2kksX+lboeG7m5kMIzquaI34sOHSMvEdKhwuv56W1B/rK2hXynmd+fU0qe16VLRac7/7f3BvnFey1MLrBx3+klSZ+XzuPTmPCOxhV+u6adt/cEdB5qkuHsSTlceaQXs0FaMhKJ8OpOPw+tamdqoY17TytJun8GKtwNJ+Cqp2u0gtYF+Um+humuq/Dmg8yFbbvaIvxxXQdbmiNJRXPFLhOXzMjhlLEuPbAF2vPIc9sD/HltGyq9MvLHFaKo8ON3mtnZ1scXLDKcM9nLxdO8aeX3UznZo+s7eXxTFxLwnROKWTBq8A4Ip9NJT08P33qjia0t2mePz7Pyi9OLkWWZ92sC3PVuK5DcvQ6Zk+RDCZalnkO2BXip72vpiXPzaw26clGB08T9p5eQ7zTT2BPj58tbdRuoBRUO2kMJtvX+PNpn4Wvz85lSmL6zfqCAnujGFooOVquVnp4e2oNxfrmyjQ8bDF1fJokLp3q4dEaOfk+I+zX1vG02G199dj872yLccWo5c4rNQ5qfdMi24PJQdvYAepGN6I7LlldOmDBBXwc+zRjhVCNzcLjC2MQDfTxFFPQNJwZaxwZb41KVYowdvkb/aWPXuFANEVxNJKuEQqYRAymrWK3WtH7Cr+z085tV7QD89fxyCjPEQDJBNEKI/cpsNicpKooxGz83dc8QsWVAv14JVeKWVxvY2RZhZomde8+o0K1qUlVgjJ7HkUgkrYWS2BuN/D3173r8S1F5e2+ARz7spKNXavuIEgdXz/YxNk9LkIuCWVHYYLQFElLywkoQ4KSxLm45rgwlHtXnZqB7cygJP5GwHGp8PtPeHYwqPLy2nbd6lXEqcsyMy7OyqqYvpuy0SIRiKipw8XQvV8xK3wwkkNow0hFKcNMrDbQEE8wssfPjk4oGbeIRiUnRBJdayBuMagn33R1RStxmvndcAX9Y16HHEc+Y4OaauXl6XHRTU5ifLm2hO6KQazdx26ICdrVH+c/mLt13fmyuhctn5TK3zN4vPpwtb/o45dQHW59EAYcoYk6Xd8l0jHTqS6JbXBS7G797B8r5hnLvD6e1b6axCD5tVPUa7D3jxo371PuLw0hiPCNGyObhh/b2durr65N+Jxag4V7kXS4XJpOJ7u7upN8LD4vB/LmNXsvGgKWxElN0pp73j71JCXHQAkUPnFlKVRq/PIFMC3wYK79eVsfS/drfilwmeqIKwZjKokoHsiSxpyNKXXc8bVeo2yozNs/KuN5k+SivmR8taaEznODGRcWcPNqun0+qLPtjm/z8c307507x8Y1FWtBQkOxnNzbzuzXtxBKq3kmdCRYZZpY4OGmMi4VVDrxuN4qisGpfB997sxm3VebBs8u46ulaVOAv55frCUQxL5vaFL79Sg35DhPj8yysqtM2NY9NJtdu6tfRlGOT+cmpxYzLd+gk0uFwcOUTu9jfGcNpkfj3RaP04gaAVfVR7nxb67aWeo/dHVGYVWJnfWOYcXlWbjuhjG++sJ9QTGVhpZNLpnv5/puNdPfuZb8+s5ixeX2BvT3tUW56tYG4AjctKuKsKXn6/R2LxZK6hAfb4O9Y0syauhA3HJ3PaeMzB0fXNcX54RuafNV9pxUzufDApFaMY2oOxPnWa420BBNMLLBz10mFendVtscYLvgTZq5+co8enC/zmLnh6HxmFPc/z8E+v6Yrxis7/by1uydtwUm5x8Tls3JZYKjqHAhd4QR//qCDt3sJf57DxFfm5bKgwjkgicmmGtt4TsaHXIHVDXF+/m49obhKjt3EWZNyCMQU9raHafTH6QonkuRxU+G2yjz/pUl6AmKoyJZAHmqieSCf97/ULQ4jnOpwP//DEaqqsn///n6y1IdiD5Ikiby8PNrb2/txR1GUk233qBifqKI3ShMbE8lDPY+BkuPpKtMVVWVzm8oTG1qSEmNjcy2cN9nLcaNdWEwScUVlW2uEdXVaonx3R/JxXFaZWSV25pTZOWaMD48poY89NQmuKAqyLOs+c0ASrzaet5AnN3JVYwLdarUSisb4yrO1NPbE+fysfD4/3Z22OE4EnO5b3so7+wJcMj2Hy2f59L8PtmeIrrFwOExUNfGL91p4b59f5+BWk8RF07xcdmS+Hri9e2kLy6uDXDE7ny/NLUq6lgMFapxOJ39f3cDf12sFrb8/p0wv1hMyp6l+7ek6EBRF4aWdPTy1uZvWYF+wUgJmlti4YWEZJY7+/COWUHloVZsexDxtvJtr5+WxviHE3ctakzjFiWNcXH6EL2MBYOrcPre1mz+u6wDgm4tKOGV0dgnEhCpx/Qu11HRrHOjIUjt3nFiYlMx/YEUrb+4JUO4189mpObzfq35glO80Jsknl3gPebAs3XdYURR+srSVVbXaPWqW4NZFBSyschFXVB5Z38HTW/q68a0micuP8HHu5P7KQ9l8Xjp0h+M8uKqT92sC+j0sChyumV9EorcjSCg3ALoKh3i2kiQJf08PFz9eQziu8ofzyqnwacHRgeTaB8NweaUOJ7It7vxf6RaHEU4FI3NwOCIWi7Fz586kZ/OBumQPBmazmby8PJqbk4v+hT1Nuuf+1NcJW8TU5Lj4WSRdBa8catGSxWJJ6xuc6TiKonDBv2uIK3DCGCe3LMy++FyM3dgQkK7D0qiuZEzei2uUWmgpxruvLcg3Xm4gHFe5ak4+F8/w6R2soqDW6EssutBFsWo6GeTBuJxxHKGYwpObu3hmq59oQkUCFk/w8KXZ+XgsatK+mUmx5K29IX61ohlFhdnlTr61MB+XVR7USkUoT6WDKCQQfMqY4Bzq/TLQfKysDfHgyla6IwoWGT4/04dZhme39XVWS8Bxo52cN9nLxAz2OpkKS/d3xbnlFS0mtnicmxuOzssYh8s2WdoRSnDLa4009cQZl2flrpOLeHarnyc2aVai43KtfOu4Asp6fdCbeuLc+U4z+zpjWGS44eh8jh7l5Llt3Ty9tVu3UJ1aZOOKI3xMTxPHHAyH0powFensHDMhU7GMsWBCcEcB8ZwoCi9TC6KNKmGp8upDQbYFl4e6kceIbDns/0q3OIwkxjNihGweXohGo+zatSvtQn4wD7eSJFFcXEwoFKKrqwu73U5xcTEej4eOjg7q6up0gimkFbOFCMIJOWiLxaJ7RAp5GUmS+MpTu9nVFmV6iYPLZ3r524edbGmJUO4xc/8ZpQN6PovNwDguMR9raoP8dnU7LYaAVrHLxB/OK8ckS4RiCns7ouzuiLK7Pcqe9ijVXbGkIJCA6KBwmCWuPNLHxAIbE0s8KLFokgzPkxta+O2qVo4b4+G2hXkAqJKJB1c28/ouLfhslIpfWOnkwhn53Le0IUkaJ+kaAYVuM7PLXLSH4qyuCXD6BDdVORYeXtvB1CIH9y4uSjr/SCTCH9a08cyWLmQJFLXXP3Cql4umeXlrX5i/rG3td65CDvKsiR4mFjnZ2hLmxpe0hPE1c3K5YHquvvHWdce4/rn99EQVCl1mWgK9lbUWiZuOyecnS1upyLHw14vGsmpfBz98u5m4AmdN9DC90Mo972lyP6VuEz9bXEaBs+86iy59h1nioXNGUezqfw+ITrCBlv2vv1TPno4YPzyxiOPG56UlBEIO8uJ/7ycQU5laaOXe00ozHnMgiHuvM5zgW681UuePM8pr5tfnjcaahSzRcEtrq6rKm3sC/H51ux6MPXeyhy/O8mEzp/9eZUviw3GF36xqZ8ne9F0go30Wrpyd28//yDi2t/YE+MsHHXRHNIWHMyd6uGKWD1eWPu9DIXpOp5PWzh42N4fZ1BRmWXWQ5kD2c22StARGodtCRY6VsbkW5o5yM6nImfHzMz0QC0iSpHcgDYRDLXmZimz2FIfDwbhx4z6mER16HO6c6nA//8MRguOlQgQxD/Th1mazkZeXR1tbG9FolJycHIqLi7Farezfvx+/368XWQ7Fu0zwPVVVkzx4E4mEbqcBffLdBxr8SLf+ZUrsibW5ujPK89v9LNkT0Pdan13mjAkezpnio7jXDkeSJJq7w6yu7mZdfYh19SH8keQxVvkszK/0MLPQzOzKHOwWs96JYZRnFEE4oxckJMt/p+vUEoEa8br39vm5/Y06zDL89pwyxhfn9JPbFJ1GF/9rN51hhZ+dWpxUWJdNMETI9IvAbE1rN/e/18pGgwqN0yLxpVk+Tp/o4bIn6+iOJLjvjDKmFtr0aynOP921FYpC4bjKF/69m+6IoktKGgOfmfY4l8tFfVsXf17XwfLqYJJSjNMisXicm8tm+bCb5bT7d0cowU/ebWFbawRZ0njzKWOd3PdeO6vq+vbwKQVWrj0qn3F5mYt/BQQne3tPD79YofHmy4/wccmMnEHfC6CabFz5n916cj9TsL07kuCrL9TTGVb4/MwcPj/Tp3uSL6/unySvyLGwsNLJokonVb7MnuQH4/k4EBd5ZUc3v1vToasPnDrOxdGjnPx+bXuSf7pJgqvn5HLOJE9WHSOpRdxGBKMKv36/jfeqg3pC3CTB6RPcXD07F6tZTuqaU1VV79gRyQYjn2sJJLjymVrMMrxy1WRiUU2NTMiTpkIE6DPd/2L8w+GVOtzIpjiipKSEgoKCj2lEhxYjnGpkDg43ZCq2hIOX2PX5fFitVlpaWpAkicLCQvLz81FVla1btwLZF1kaYVTXET+LwkujcoXgqgeybppMJl062fi7dLEBWZb54VsNrKkLYzdLPPm5yrTHFJLu4j2xWExPTqcWVYk9Q7xeURTsdjsmk0m/Vsakuaqq/fZAcd5v7O7hVyvbMEnwi7NGMc5n0vcl0a0O6Gu9Uc7Z2FQlxnQgHf/NgTh//7CDd3ttGx0WmYumeblkViFqPKpLSZvN5iR7HBEzWrarnbuXtRCOa1aPPzqpiMoC74DjANLGwVPteNLtcUPtNs90f9lsNho6Avzq/TbW1WvHm15ko6UnRlNQwW6Wkix+phbaOHeyh2MqnElFgZk4mbD/ufMdrXDgyiN9XDgtPc8cyjnVdce47bVGunobp354YhEbm8Lc/56W5HdYJL5xdD4njvcRi8UIxRTuf6+V93uLHy+Y6uWLs3wEYgpPbu7mxe1+vblsdqmdK2b5GJ+fvcrMx5m8hT5VxmyedzM9txrvLWMBilhHjGpvIiEOJHWPC1WyVIi4/kCFSx9nIWW2yDZmPmnSJH1d+rRjJDGeASNk8/DBQEQTsk+uCJjNZnJycrDZbDidTn3xFElrETiIRqPU1NQMmQAafWnEIp4qgym8HQFaA3EKfW7UmLbBdoYT3PiyJucyp8zO7ScUDVjlb5QBBvRqq0QiQTCm8Oh6zdtQ4PQJLr52VH7aAEksoVLdFWN3e4Td7TH2dsbY3RZJ2zVqlmF0ro1x+TZGe01MK/Oyt7WHX65oY3qRnXtOK6HBH+XuZa3s6pVNdFokgjEViwzXzM3juNFOfvpuKxubwpgk+ObCIvJcVl7d0cVHDYF+XusCJW4TCVWiJRDnmjm5XDqnJGnD2tQS5QdvNOid+NOLbHz1KK3y74GVfVKDApPyrYTialIX+ZRCO009MdpDCdxWmacvG0c0qhHOsGrmhuf2Ue+PM6nAyueOKOCOt/rUDCYW2NjRGqHIZeLfX5hIMBhk+f4g9yxrQQVOGO3knX194y10mfjF2aMpcmpekwlF5fYlLWxoCDG5wMY9i4v73QOCqA60UX/+P5qc5oNnlTIm19pvYzdWC/9hbTvPb/MjAY9dNCqtpOVgcDgctHYF+G6vdFChy8TPF5dQWZiZcBshOryGYytr9Md4cFU7Gxr7iGtql1cqhvrg2hyIc9UzdUjASeM8LN/X0++7MjbXwlfm5TGtqC+IXtsV4zer23Q5pdE+C9fPz2dyBonLwWBM5scVhT3tMTY1h9nVFqW2O0ZbMEFPTCExyBIpoRV25NpNlHjMjC9wMDHXxIxiB3leretcPGiJSmzj+igeVDPJIZlMyQ+Q4kF1sDX24yakRjuMTHA6nYwdO/bjGtIhx+HOqQ738z/ckK6rx4ihBv8cDgdutxur1YrH49GTl6IjRKC9vZ3W1tYhJcokSdJ90YyBBeMYU8crujcONCEnOmnEGphODjFdh0l3JMFrO3t4aYdfT0RaZInjRjs5d7KXycWupMCa2WJlb2ecVTU9rK7uYVtLKMnuxm6WmFlsZ06Zg4XjcvGZ+6Q9gbRB4NRAneAVwldOzI0YfyKR4Luv1bGuPsTRlW7uPLVMT6YbbV12tgS4/sUGbCaJf19cgcVgC5NN0kt4P0YiET2BbTKZ2NnYyf0r2tnR2vd+t1WmJ6p5ET7+uSrcTofe/SWCzMZO73RjeGZbD39e20ZZrw2SSZaSJFFT7++PmkL89cOupHEAlHvNXHaEj2Or+tvxCD4QiUTY3R7lrneaaQkmcFllbluUT0sgwR/Xdui8yGWRuHFBAUdXOPsdKxMkSeL9mgA/ebcFRYXzJnv48pxcvTh0IHSG43z1hUa6I9q9eP5kD1+em5fx9Uv3Bbh3eStmGX59ZimVBtUuY5L8g/owMcONqneSp0mSH0wCdjDuU9sV5bbXm3SZTYEil4nLj/CxbH9Q91OfV+7gm8fkk2PPjtsbPzscV/jdaq0QVJy2LMHiiTn835FerIZCU1EIHo/H9etjDHaK40qSxIaWON99tZbRPit/uXic7hdp9CNZkB11AAEAAElEQVQVa186b1jBJ428MhqN6gVEA+FQe0GmIpv7oLS0lPz8/I9pRIcWI5xqZA4ON2QqthQY6l6Qk5OD3W7HZrPh8Xj09U0kPQVqa2vp7u4eUiGk4HiQPo4kSRIulysp9mq324lEIgccoxEJLSG/nq4AyuFwsK2hi6+9qKkxfve4AhZU9ucemTqixf5jNpuTxik8vlPX/VRVIkmS0tpeiM9TVZX7V3bwzh4/pR4Lvzu/Epus6j7awkZTURS9U1U0SaUqMg3WiDHY/r+1JcKfP+hkW4t2zGK3havm5nPy+BzC4XDamJ9IpO3rSvCDNxvoCCUocJr4yWnlVHrN/fbO1GOI/VjMvTFeku7+NnLEbGG32/V9XMB4bFVVeWVnD39a16EniD1Wid+eU05bMM5z2/ws2x/QCxmLXCbOnuRl8Xg3bqucce8X98IL27p5eG2HZtdzXCELKvvz1aHyh51tEb7zRhPhuMrxo53cvLCA9mCCe5e3sqVFm5vzp/r44hFeLCYJRVX554ZOHt+kKdfOK3dw68ICnFaZ9lCCxz/q4tWdft32Z0Glk8uP8FGRM3gC9GCsag4G2XaPp0uOi5h3uuISYZkgrKtEYbR4jShINhYXi+70dFadQoJdcEqBwa73x9mJL5DNnjJ58uSk/eLTjJHEeAaMkM3DB+kk1I3INmkiSRIFBQUUFBRkLX9bX19Pe3t71mOF9JVYojsI+mQ/xMaQLqC2uz3Kba81EkmoXDDVy1WzB/ZKGWgMJpOJHe0xfvhGnZ5onl1q42vzCyhOI1+YKv8eDIWp7Yry5OYu3toTwCxrndXpZKQlQEXrLD9+rJd393QTiqvYTBIxRUVRNRnrbx9biMcm86MlzezvjOGwSHzn2ELmlDt1qT3R4frW3h5W1ITZ1hzqJzkPYDfB+HwbJ471MLPYyj83dPHOvj5Se+3cXE6f4Ob57X4eXa/5uDstEuNyrXzUrM37Py4sJ8duYnNzhJd2+FlRHUzyGJxd5uBrR+UxKteBKpu49aVqPmoMUeQy8bPTR3HLy7V0hBLMH2VnQ2NEr1j0WCUeu7hSL954eVeQh1Y06cc1SZoPfJ0/Tp7DxM9OK6PcrQWYmnviXP9SPcGYyuWzfFwyva9qUfg7DRT4jiZULnisGtAS3Z7eRLexmtZ47wWiCT73hCZNf+YEN1+dfwDBGbOVb71czebmCD67zD2LSyj3Wg7Ki3GoSCgqz23z888NnUQSqq4YMC7Xwi/OKB2wyORAAmVffaGe6q4Y3zuxlBmFZpbs6eHFHX7qupPXgCqfmWvn5bOpKczjm7qIK9r36PMzczhvindQL6NUNPpjbGwKs6NVU3poDiboDicGtCgwQgIqfBZmFNmZkG9lRrGdYrdZJ3ZizRLXLfUaGq/TgTz4pGKgysdPolJzsM90uVyMGTPmYxzRocXhzqkO9/M/nDBYsaXJZMJkMmWVVLZYLJSUlOD1erPqxlQUhZ07dw4pKDFQt7YoMEoNgg33mpnaYSGCfZk+I66orKgO8ty27qRCxOlFNi6aWcCsIpO+FxvH2h1J8FFzjA8awqyp6aE9lLwnlHstzC7VJNcn+iDX4+qXIE49d9FZLrrNBTcWfuOJRILqzijXv1hPQoUfnljEvHJHv3N+bls3f1zbwexSOz8+uThpXNnwFtG9HuuVmTbaKplMJjbWdvGLFa1Ud/Z9ptUkcfsJhcwqdSSdl0jqi306Fov1U2cJxRSufraO7ojCN4/J55Rx7n7ygoqi8NQWP89t89MZTu4ynl3m4P/m5lLqGTzQtqYxzt1L6okkVMq9Zi6c6uXpLd3UGnjQ8aOd3HhMPmZTdoo4oF27jY1Bbn+rmWhC5cQxLm5ckI/cK/s/EOdo8Me44aUGnY9fcUQOF8/wDfh5qqry43daWFMXYkqhVpSazhInhonle7tYvn8AufVKJ2Pz7QcVKBvsexxXVJ7d2sXfP+zSO7hl4LvHF3J0hRYgfHGHn7+s6yCmaFY9Ny3IZ1apI6vPN1vt/GpZHa/v6tGfiSTg2Con18/Pp8Dn7je+dGMWwUljMNJsNvPsNj+/f7+ZY6ucfO/EUj2BAOj+rAc6f6JoPNP8fRLB4cE6fMrKysjLy1y48WnCCKcamYPDCQMpW8LQ4gsej4eSkpKkju2B0NPTw759+7IdKpB+nRZrJqBzI+M6OdyJn1ROI2xeQqEQVzxVQ3tIYVyuhV+dVTbgey0Wi140IJDK3wRXMnaXp77OKB+f2nCVFC+LKdzwUgPNPXFOGe/hm0fn6fMjuKDRktHIDbPl5sYCgoFgMptZXh3iD+836QqhUwptXL+ghEmFdv3aiaSk8bObeuL8aEkzNV0xXBaJ759YzIwim17Mm0m5JXU+0nk9i/kUqoZD3W+NcaV0c6aqKncva+W96r7fHz/ayXVH5eO2yrQF47y8o4dXdvr1wkG7WeLUcW4unlVErqV/UaVxf/79mnZe3O7HZpK4Z3Fxv47sgZSbMmFdfYgfL2kmocL5Uzx8eU4eCUXl0Q2dPLlZS4BPyNOk1UvcGu9+d1+AX61sI5pQqcix8IMTChlfnEMwGKTRH+OfG7t4Z69maSNLmj3R52f60sb3BT6JBK5AOvWIVKTj9qnrp1EFwng84W9v9BU3FlUe7LOxKNZMN/5PglNms69MmTLlsLR9HEmMj+B/DpFIhF27dqUlBpkWJ4vFgtfrxe12Y7FY9Epyo9dZtojH49TU1KStHsyEbBdG48aU7j2icwHg5gX5nDg2s0e0Eek6h+LxON3hBFc+U6d3bthMEpfP8nHOpGTfudT3C6LsD4a55pkamgNxrj0qn6PK7Oxqj7JHSLF3xGgLDty9UeWzcPnsAtxWmXvfbaQ9lCDPYeJHJxYxtldSUWxawpsnFotht9v55nN72NAYZnqJg9rOSMZuciMqcsx877giHljZxrbeLph5o1xcNy+X657X5mJakY17Fpckva8nLnPNM/uTJD4lYN4oJ5G4wobGME6LzC/PKufvH7SxojpIZY6FB84spb47xo+WtNDaOxciyCrwtw87dAJkluGvnxnF999qYn9nDK9N5r6zqihzapv9O/sC3PNuE7IEPz+thEkFtn6bYCZJoAZ/jGueq8dmknjycxVJ975R2t+IW15tYFtrNG1H1GCIKyo/XdrK6togLovEz04t0a/pgXTfHUhyfE9HlAdXtrGzXZuP8flWdrdFUYFfnVPJjFKt6lh0pBgLWA5U7vIv6zp4ems3iyfk8PX5PkAj7JubIzy7tZtVtSHSbcxzyuxcd1SeTn7ToSeq8FFTiK0tUfZ1RGnoidMZShCOq2mPaYRJArdNpsBpotxjpiussqFJu94T8q18/8RSilzJQTohzZuu28bYHWixWHSPc1mWDyp4aUSma/BJJMYHux/cbjejR4/++AZ0iHG4c6rD/fwPJ7S2ttLY2Jj2b6JLOrW40eFw4PF4cLlcScoXB8IrA4EA+/fvz3rNzHZvMgYTDka+OR2MAaOh+iVvb43w/LZulu/vKzgsdpv5zLQ8Fo934bKa9H3ECFVVqe5W+KAxzNraIJsakwsWLTLMKHEwu9TOgjE+qnJt+j6Vyh/E+EWntigMDAQCukz671Y28czWbso8Zh4+vxKrWU7i5XcsaWZNXaifvKLoTBpM0k50IxnVnVI78Z1OJyv2tHPH201JhaAVXjPfOamcyuweA3Q8tbmLv37YqXU2nVOKy6F1fHVGJX73fhOrapOTuh6rzHlTfVww2ZXUBZwJiqry74+6+NfGLkBTWjLLqq6GA1ow8nvHFXJkWXbJWCNq/Co3v1xDMKYyr9zB944v1IsIB+KJu9oi3Ppaoz6HXz+mgDMmerOSHWwOxPnaC5rP5HXz8jhrkifp7yJgK4LnwZjCyv09vLOnm9U1PSly61YWVjoGlVvPhIG+a1tbwvxmVTv7OrV7tNhloskgoW7sjt/bEeXe5a3UdMWQgAunebnsCF/Ggsy4ovC3Dzp5cYdfPx8JOGqUg28cnYfXbk47vnTXxOl0ppXQtNvt3LOkljd2B/j8zBy+fHSZrophs9mGhfMN9Dz+SQSHB+Oy5eXl5OYOrRD+vxUjnGpkDg4XqKrK3r17hySJLcsybrcbj8ejd1IbeeVQ0dzc3M9rfCBk+1x9qAouB0sY/2N9B//e1I0EPH5xBc4Ui7l0e42wARFF/enGa5RMFwoliUQiKWksktKyLOsWOIqiJO11OzsUbn65BkWF75xQwvGjXbo6USwWw+Vy6bHjgZR6MkHYQg7GWcS9E44rPPlRO//6sFUvBjxhtIsvzc6lqtCbMY7tjyS4850WtrREMMvwzWMKOGFM/w79VBjtHNMlxlPn3jgfQ0Gme+7pLV385YNOvVBveXUQRYUCp4kbF+RzRElvgUdc4Z29AZ7b5tdVQSW0Duzzp3iZUWxLy8sSisqP32lmXX2YPIeJ+08vodCVnGw+kFjlkj093N9rCXTVbB8XTNWeJTa0JLj7nXr8EQWXVeZbJ5Rx7Bgv8XicTfXd3PVuC23BBB6rzPdPLGFaYV/scH9nlH9s6GRlTW+zigynjfdwyXQvec7kMX/cMuqZICxz0vHbdCoFqfFqEYNM5XCp18TlcunFmAfbwJNpfAON8+PAYHmnqVOn6gXin3aMJMYzYIRs/u9DVVV2796ddpGRZTnJP0Ik+rxeb5Ic+nAgFAqxZ8+erKWDsl0Ys/H7e2R9B09s6sYiwz2LS5hYMHj16ECBlP9s6uLv6zuxmiS9s3RCvpUbjs5nbG5yYjodXt3p56FV7eQ6TPzxvDLshsCZ3W5na3OIG56v7jtHGDCBZzdLnDjGxYxiO+PyrJR6zDh7fUhEgFpRFJr8Ua56pg4V+Mtnyvn5e21sbQ7z2Rm57G+P8EF9csA002d9bUExJ1RYeW13iIfebwHgl2eUMCHfpleqhsNhtrQr3PZyDQBnTXTTGFBZV5dM6BaPczGpyMWDK5s1r6EzSnW/xIaQzDVP7dXn4MrZPj4zxatf82ufr6eu11P956eVUO41c/tbzexqj+K2ytx9RgWjPdq1/Ok7jSzZrQVrf31Wqd4hBdp3JNP99lFTmO+80USZx8wfzisfeHJ6saYuyB1LtHn56lF5nDnRM8g7NCiqyv3vtfLuviA2k8SPTy5Kkg4faiBdPBxmS96iCZV/f9TJU5u7SaiaF/ZVR/p4Y3cP21qjnDDaxS2L+nz7xIORzWZDluUhP7AYsbExzHffbMJnN/HIheX9uotqu2P87N0W9nclkxafTeJzM32cPNbFnvYYm5vD7O6IUt8dpzWYIBBTkiRl00FCUz/IdZgo81gYm2thapGdacV2cj0ugsEgHaEE9y5v0QPVZ0/ycM28AmzmvvkVldpG6VwBIYdpJJ/pJHSHA/9NZFPsI0KVIfVe9Hg8VFVVfaxjOpQ43DnV4X7+hwvC4TC7d+9Ou36J77zoGDeZTHpCfLj9uZqammhpacnqtUbP7IGQuk4O17qZ2uV4IHul2WymsSvMSzv8vLqzB3+0Vw7eLHHKOA8XzSqkwmfrFzhzuVwoiqLJ55ltvL+3g3X1IT5oCNPck7wmF7pMzC1zMrvMzhHF9qRAqhizMdholFO32WwEYwpXPL6bjlCCq+fk8Zkpffwnrqhc+p8aQjGVB84oSeoeEfOcun/ZbDY94Cq874wFeemKF0wmE6FonM89UUM0oeqS6gIT8q3csjCfcu/g3tygSWB/+VlNLermY4txmxQe3djNnvZkPjbGZ+H/ji7iiCJr1j6i4bjCAyvaWN7bsTPKa07qEBfj/f7xheQ7hy7jV++P8a3Xm+gIJZhWZOPHJxVhMzxzZOIL6xtC3P625hEpAd89voBjKlxD+j4IKU2HReJ3Z5dR4Bp8/E6nk7auAB82x1myu4s1tYF+neQLK10cW3VgSXIBfyTB3z7s5LVdmuKF1yZz5ezcXi4Z5btvNhHsVfQa47Nwz+ISnFYtcP6ndR28ulN738R8K7cuKkhSBFAUhX9t7OLprd1J/vJHltq57bgSCtzJMpjG5HLqPSM6D0WSQUAEKW02G9c9vZvtrVG+fWwBi6cUHpICyEPFV4cKq9WqF+SIJEvquEaNGoXP5/tkBjjMGOFUI3NwuKClpYWmpqa0fxMWKsJG0WQy4Xa7cblcw5qsSCQS7Nu3L2tuli2PS5Upz6a4LBsMpEIHEI0rXPjvGlTgM1M8XD0nWUljsOJPkTBOZ8Fh7CIViUIhrwx9fupi78jENf61sYt/bezEaZF56JxyipyynkwXcSWxz2eSaE8H4zynJjKdTs3WTlVVvSNbqF+ZzWaausP8a1MPr+3QihVtJolLjsjn3ImOpJgt9CXUogkthie6r790pI8Lpw6uguV2uwmFQiQSCdxuN9FoNElxVMyB4F3C5/lgsbImyE/f1awpr5mby3mTvWxriXD/ilYaemOr50328MUjc7Ga+qTeNzSGeXarn7X1fffZaJ+F86Z4OX60C6tJSpr7YFTh1tcb2d8ZY0yuhXsXl+CwJM/hgRSLiKQ+JDe+NQfi3LusVW/kOm+yh2uOKsJikuiOwfderWFHawRZgq/M7V+0uaM1wqMbOvmwQZtvm0ninMkeLpzq1VVDD1aVc7jhcDj6yZkb5zQdr0x3X4qC6GyKNQ8WmZ4lPom5FWuZKMpJF2ufNm3asObFPkmMJMYzYIRs/u8jkUjQ3d1NLBbT/XQECRDJ8I8LkUiEffv2ZS2Rkc3iaPQ+zBSsUVSVu95pYXVdiDyHiQfOKOlX/ZXuuMaF0biAB2MKVz9Thz+qcOo4FyuqgwRiKiYJLpjq5XMzcvB5XBnHHldUvvJ8PU09ca6ek8cX5hTrXnF7OuLcuaSB5t6OBZEUH+W18PkjCwhEFd7e1cnWlswJUodFYny+ndE5ZsblWZla6qEq18Y/1zXxyPpOphfZ+O7JFXz+sV0AnDLey1u7ulHRvAuPqXDSFoyzvjGSNiFvNUlU+SzUdsUIxVWKXSb+/JlRSbKUiUSCK5+qprEnjs8u89glo7HZbDz2QSN/XNuRdtxnTHDrHuYAMcnKZx7dmfSak8e6uOX4chKxCD95p4mVtdo18Vhl7j2thDyHiR+/28rmphAOs8QPTyziqDF5tPeEufbZalqDCc6Y4ObWEyv6dV+kI2ZL9vZw/3ttzCy28dNTkzviMyGhqHzuiRpCcZU8h4m/fqZ8QOlx0MjI79a08/KOHkwS/OCEIuaWJ3cGHUj3WrbJ9E1NYR58v00vNFhQ6eTaublsaAxz/4o27GaJ359bRkHK98Z4/IPpHIklVL7wpNbRJIosQJuXd/YG+NO6Drp6lQdK3SZag4m0lgADwWaSyLHLlLjNVPqsTMq3MrPEPmiweXNLlLvfbaYjnMBhlrjl+DLml5rTyl0NtLaJpLl4kDxUckGZpN2MxU7D1Z0+1HEYC2cAvF4vlZWVh3QcHycOd051uJ//4YJwOEwgENC9msXaJnjlx1lV3d7eTkNDQ1ZJG4vF0k8qOxVC3UeSJC3YNUwd46nB0ANJNBl5aLi3g+P5lA6OueUOPjszn9llTj2RHA6Hde4vJMhDoRBWq5Xqzihr64K8v7+bTU3hpH3VJGlyknPKHMwd5WRSkSspYGf0JhfFEPF4nLf3BvjFe604enmD2GO3toS59bUmvDYT//hscgGcsQMpXaBXdMoI7zuxd9pstrTXaVuHyi0vVZPbW2z34g4/j3zYSSjeN+dHlNi4eUEBhR5bWvUfAVmWeWpLN39e29avUNUsw9GjnFwzN5dSnzPJOkXsu5mO2xKIc9c7LezuiCIBUq9ljRFnT/Jw9ezcISkPCbQF49z2WiNNgQRjci387NQS3NbBA5LL9ge4d1krKto9cNcpRcwodgz4nnRIKCq3vd7I9tYo80c5+P7xhYMGllID2BFFZsX+bt7rlVuPDTFJnjpWVVV5e2+AP6/r0KVBTx3n4ktH5ib5hkfjCt9+o4kdbdp9ZTdL3HlyEVMKtWLVFdVBfvV+G4GogsMi8dWj8ji+yslTW/w8vqlL7zYDzfrg5gUFFLrTd4hD3/qQyvMHm2ubzcb5j+wiEFP4zdmlTCnzHZLEeLogplCTE2Mfji6iwZDuOchobQVQUVFBTk5Ourd/6jDCqUbm4HCB3+/XLV1SY5Vms/ljS0qoqkp1dTV+vz+r12cTqzQWzQ/n8/dgiXHoUzH02mT+dVFF0t8G46Gp3cuiwF38XljYCOU7UdyoKMqA/tYCdrudYCjMt19vZEtLhMkFNu5eXKyrsBj3yoGK8lL5aOp7M8V0xZjcbjexWExPjomC/o01HfxxXQebey0j850mrjjCx4ljXTp/NY5LUVX+vK6D57Zp9845k7x8eY4vbQxQcFcxR2KMxrEKPmT8jEyKXEPBrrYI33q9iUhC5cyJbq6b1xd7DcUU/ryug1d7iwYrcyzcsqhAb/wSaAnLPLmxhTd3B3QVVZ9d5owJHs6blovb3HdfNffEuenVBjrDCvPKNS5onBOjv/VQ8Kd17Ty71Y9JgttPLGJOr6JSXFH5+4edPLNVUxadUmTn1gX5FLnNRBMqD61q5+092vmdMcHNV+bl9VP+2dgY5pH1nXqC3WmRuGCql3Mne8nzOD+RruaBkK6oOBKJpI01DhRPFk2Twl7MeKzhRKaYsXjGE8/gh1pWPd1cpLMQGkmMHwYYIZsj+LiRSCTYvXt3VsHGbL1hsulgCEYVbn6tkZquGJMKrNx9asmAgaZUApf6GU9s6uKR9Z2MyrFw7+kV/HZVM8v3aZtsmcfMjYuKmVFs1ytbAT0gq6oqr2zv5Fcr2/DaZP50fjlum5k3dgd4cGVzUncEwOkTc/i/OT4ssspT24L8bZ0mDX/caBfnT/NR3RVnW1OAPe1R9nXG0vojmyWQZIlYQuWUCV4cJq2bwyRDovfzTh7r4srZuXisMv/Y0Ml/hFS5BLkOEx2hBPE0l8JulphWZOP0yXnMKzHhcjhYtruDH7+jdXJ998RSTpngY3NTkJterCaWUDl3speqHBN/WpccqByfZ+XsSV6OHe3Eabdzxl93AHDlkT7+vr4TRYVJBVbuOq2SO9+qZWNjGIsMMUXrdPrNZ8ZiI8EP3qxnY2MYm0nijlPLmV5gYktbgtteqQXgrsXlzC6xppUlNF7nJzd38bcPOzlxjIubFxaQLR5e3c4LOzRi/N3jCllQ6Rzw9Y+u7+DxXrmrWxcVcNzo/hJMB0pMBgqsBaIKf/2wr/slz2Hi2nl5LKh0EowpXPt8Pe2hBF+c5eOi6f0DTcNZ2Xf38naW7/Nz4VQP4/NtrKsL8X5tKKnTKxuYZShymZlcYGVCgY0ZRXYqc4aerFFUlSc3d/OPDdp9V+Wz8J1jC5lYqvkSpZLNoVwfIaOeKkU/HBAV22K9SSQSKIqSdryHKqA5WBGHuCdzcnKoqKjI+LpPGw53TnW4n/8IPhkEAgH27t2b1WuzTeodiqr1bIs9hfVNqgSk8NcWMvSgqZF82BDiyY1trKnrO3aVz8IF0/M4YbQTE8nBSdFpKooDxT4gWWx8WOtnXX2Y1TU91HUnByRy7SZml9mZU+bgmDG55DjMegAD0IOmVpuNG57bx/bWaBJ3emxjJ//c2MXCSid3nl6VtpshE/cW183tdmtjNXQQhUIhLcBquK6PrO/kiU1dnDjGxS2LCvXf//ujLh7/qEPv5JWAhVVuvj4/l/yc/gWtzUGVh9e0sbomkJQQz7XLnDfFy2VzinXO6HRqPC8bv+htLRHufKeJroialGwXfNZmkrh+fl7W9k+p6Ikk+NYbmr1QmdfCPacWk+voXwidOrYXt3fz+zVa8arVBL84vZTRKQFRyL5Qc39nlG+83EBcgW8fW8CiqsHlRTM90wWjCqvqggMmyRdVORltSJIbC1JqumL8ZlUbm3qD3JU5Fr46P4/pBmWmVDzyYQdP9D4LAXxhZg6XzvQBWmfS/e+16kFzk0SS6takAis3LeivTJDu/MSzYrquvIHWq9ZAnC89U4cswUtfmojNYjpkiXERyEwkEnoCwcgphTWb8Kkdbm470FwYra0qKyv/Z/jHCKcamYMRfPxQVZWGhgba29uzev2BqFwOB1J9vNNxzA/qNfUXgN+eP5pKd/LnC29xYW0iLG0sFkva7uxM8uugxXgFv4xEInqSWSQ+jeu3UdWwuSfODS/VE4ipfGFWHlfNK0qy9DFKjqdCcBFjclXEXcXen5pYFvuYSDwbk3FC/j0YDGK1WgmHw6yoCfKXDzpp6lVYmpBn5f/m5TO1yJa2+PH57T38cU0bKnBMpYubF+QldZqLz0uVqw4EArr6oOACsizr4xAQzwAHkjRsDca56RXNhvPIUjs/OrEobeJ+dW2QX7/fRmdYwSzDZUdoqp3itSKm5I8keG1XDy9u99Pa689uljUJ+nOnePWE+vbWCN95o4loQtW6uOcOTb0gHYxKm3azxE9PKU5ShV1VE+QXK7UCRrdV5qYF+Rw1Spv7p7Z08/cPO1GBGcU2vn1sYVJxJGjrwJq6EI+s79Ttdnx2ExdN83LGRI/eSf/fgMGenYzItpFJJMkPVeGj+B4oikI8HieRSPQbr4hpDndRkcBATUqi6FJRFKZNmzasn/tJYiQxngEjZHMEnwRqamro6urK6rXZBDGzDXTWdce46dVGAlGFU8a5+MbR+Rmrf1JJrpCOFF32gWiCz/9rF/6owq0LCzh+jIs1DVEeWtmie4QvHu/mqiN9uG3JG63D4aAnEOS6F+qp98f5/IwcmoNx3tytEVARGAOtA/36ReVE4wl+uayB13ZqydbPH1nA56Y69YpFMQcJRaWmO8a+rgR7O+Lsaguxqy1CYIDkotMiccJoF4uqXNjN8Ie1fRVyLovEg2eXUVXgQZIkttZ38dL2bl7f3dMvgQ9akLHQZaYrnCCSUMl1yDx6YQWdMRPXP7efznCC+aMc3HlaJf/Z0Mwf13ZgNUnMq3CxurpHP2+XVea08R6e2dKFCjx64Sj2d8X52dJmAlGFAqcJp9VEdWeUsbkWInGVOn+cql7JQ6/LwQ/fqGVNbRCLLPHtYwuYX+Hkb+u7eXJTBz67zMPnV+Iy91/ujVWcD69p54Xtfi6a5uWLR2bvWbevI8r1LzUAWrL/l2eUZLzXnt7SzV8+0AKRNy4q4eTR6aX+DyZQn27jf78myG9Xt9Me0ojsaePdXDk7V+8oEj7upW4zvz2nLG0hSepDWbaIxhW2tkbY0hxhd3uUen+MpkCCSLrKixTIEjgtMvkOE2VeM3aTxIamMO2h5DEUOk2cMdHDqePcaQPCA8EfSfCLFX2JhpPHurjuqDw8Du3eSJcEP9DrIxLUh9r/eyD5NtHZlkkybSjItvLXZrPhcrkoKys74M/6b8PhzqkO9/MfwSeDeDzOrl27sk7EDKbWYex+Hi6YzWYURUnaK8VDt1G9KVXJxu126z+n8/02jrm2K8rz2/y8tadH71j12mROn+DmzIkeXfFF7DmgJXFFt434fND2i5aQysq9XayrD7GxKZzUBStLmsT3nDIHc8ocjM+zYpIlnYvuaI1w86uNqMDPTytmSqGd777VwsaGIF87Ko8zJnr0YGo6P+VYLKYn2MTvjP6LoqLfGLAxSr1f98xetreEufGYfE6b5NN9MO12O+FolN+938IrO/x6IlOWtH3+GwtLQImzdF+Af27s6lccMLnQzpWzcphR6uwXjM50PsbxA7y528+v329P6g7Pd5joiiSIK1DiNvPd4wv7dehki3Bc4QdvNbO1JUKew8Svz63CZ0m/9xt5y782duo+5w6zxENnl1HsTq+oM5Qg5j82dPLvj7rw2WV+f05Zv2eiVGRb7DxYkvzY0S6qcsxEEipPbOri6S3dxHuLDi6dmcN5k71ZdeJ/1BTiR2+36F1RUwut3HVyMVazzGs7/Ty8tiOpILnca+Y7xxamLShId47pvEWznQuR9BjlNfP7czW7JxHMPFguNxgGKwY1dkmKbrwDRbb3m9PppLCwEI8nOwur/3aMcKqRORjBJ4Pu7m6qq6sHfyHZFcYfCjuzdMp1AiIprSgK5/59B8GYyqwSOz87rQyHw6Hzl0xdmUOJaRi7TAHdZic1tmGz2fQEmPEcAJbs7ubOt+qQgJ+eqjUXiWObTKa0Y0z9m1AZEAl6AaO1k1AlEO83FocKdQKjEhJo3NtksfHM5k4e/bCFUK/NysJKJ1+em8/oQg+hUCiJE76xrZX732slpmhFcrefUESO3ZQ0r4KHi6IEcQ+Jn+PxeNpueDF2i8UypIRlOK7wrdea2N0RpTLHws9PK8Flzdw00hVO8OD7bbxfq413epGNGxcUpOWFcUVlRXWQ57Z1s721b+5nFts4b7KXueUOVtYEuXuZ1tyVzmryQCTVYwnNx/zDhjA5Nk09tNzb9z1o6olz97IWdvaq/1ww1csVs3yYZYnVtUF+/l4roZhKsdvM7ScUUuXrz9sUVWXZ/iD/2NCpy8wXOE1cOiOHU8a5B1UF/TiQqogmONNw+aGLBHVqwfZwIxuVJPF9NSouHIrPgr61bezYsQf8Of9tGEmMZ8AI2RzBJ4FEIkFNTY3u5zIQRFfMcFUIfVAf4kdLNN884amSimw3kX9/1Mk/NnRRkWPhobNKsZhNdIfj/M3Qgeuzy1w7L4+Flc6kxKjT6eTlzS3c914rchr5RLtZIhxXuWlBPkdXOLlnWQvr6sPIElw7L48LZhbqVY3iXyBtIMTucHDXG9W8sy+IxyrrvpQDQXSwHFfl5MtzcslzmnVS39wT46pn6wE4psKBBGxuidAV7n9cGRiVY6EznKA7ojAu18rdi4tpDSb4xssNRBMqXz0qjwuPKKI7kuDFLW28tK2bxhTfy6/Nz+fsKbk0BRR+8HotNV1RfYxzyp18Y0ER33yxhvZQgulFNu48pRi7zc6db9WyojqISYKbFxZwdIWTW15rYk97hGMq3dx12qi0xF8Ec+54q56VNSGum9ffh2YwfPWFOqq7tPP4mYHkG/H6Li1ACpof0RXzSjNu0kKi/kAIifGBrCOU4OE17bqnZanHzA3z85lZ0je+uu4YX3uxnrgCt59QyFGjMne8ZyIWiqKwvyvOR01hdrVFqOmO0xKI0xNV0hZVpIPVJDEu18KkAhuTC23MKLaRY+9PyFVVZVVtiD+v66Ah5d4xy3BMhZMzJniYUWzLWKAgsL01wj3LWmgOJLCaJK6dl8t5M4r0rrRwOJyUrBDfudR5MJlM+jVL9RdPh0MdzBxqpbrwcpMkSX/IzOb9Q3mwMZvNTJgw4WO19DiUONw51eF+/iP45NDT00N9fX3WyZOB1qhD0S1+IAGfobzPaFPRE1V4fVcPL27v1m15TBIsqnJy7mQvkwwdFUZuIIKlYq8QyfxQKEQsobKlJcy6ujDrGkLs70wOUnptMnNHuTmi2MLsUge5DhO/XtnG67t7GJ9n5f6zq7jwHzuJK/CH88oo81iy9n0HbT+12frGLYK56brNQwmJix/bhwo8cdlEXFJUL3QQXTkul4uecJRfLmtiyV4/YmuTAJNMEkexmuDYKhc3LCrDaSZJyj11Ho2+m6mw2R3c8Xq1zr1AU+kp95j5qLfreF65g5sX5A+aPM6EWELlrnebWVcfxmWVuefUYiaVeDIGT8X99dtVbbzc+9ySY5P57TmlabnWgY7phpfqqe2Os3icm68fkz/oe4YSzBsoSZ7vkAnHVQK9gex55Q6unZeXMeE/0Gfc+loj+3ttC6wmsJmSn6dEx7hJgitm+fjMVG+SXUAqjN0oqqricrmSumeEp67xXhLe2haLhWAwyHNbu/njug4WVDj57vGF/T5DJKcPRTBzqIkeEcgX3/t4PJ5Vx9tQZVZzc3MpLy/Pelz/zRjhVCNzMIJPDk1NTbS1tWXFUQZbDw8Fr8xWqe7XK1t5fXcAkwRPXVqB25mdFLTD4RhyUVNqN6rRd1xVVUwmE4qi9OO1JpOJ+5c38ebuAAVOEw+eVYrHZhpwXtP9bSjzbLFY9D0V0IsujbEOUYAp9uEwVv62roWXt2lqgmYZLpyWy0XTvHidVr0gIRqNsrU1yvdfq6UnqlDutXD3GRXkphQpulyutKpHItEpfNDTxWBEsWc256uoKj9d2sL7NSFybDL3n1FCidsy6PtUVeWN3QH+uLadUFzVrGPmF3BCVXqfaoDdXQpPbmzjveqgHt8udZs5Z7IHf0ThsY+6kCX4oUH+XMz1gXxHgjGF77zRxO72KMVuM/edVpLUEBNLqDyysZtnNncCmkXUbYsKKHSZ2d8Z5c53WmjsiWt2iYsKmJ8h5hlXVJbVRvn72ha9O77MY+YLR/g4tso5IN/7OCDuGZvNlmR1AOj2BumKTJy960G2hRZCGehQeIEP9VlZ2G6IIiCjrc5AGKoK6+jRo3G7D0zB678NI4nxDBghmyP4JLF79+6sFtXBFsmhevU+u7WbP63rQJbgxycVMas02cs520U5EFW46tk6AlGF2xYVcNL4HJ08bmoO89D7bdR2az/PH+Xgunl5FLj6gjGr60LcuaQZFZKkFE8f76YnmmB5dYjPzfCypjbM7o4oNrPE908qY9GYHMLhsF5NKMYsqiBFxaSQHVFlExc+uptwisT6pAIbnz8il3W1AZbsDQyYMM+1mxiXb2V8vo319UG2tWqJ6ccvrsDZW20YjCq8tbeHP6/ryJj4tJtgXJ6V5kCClmCCOWUO7jipSB+/oijYHQ5W1/Tw7KZ2Vtf2XYcCp4nTJ7hZVOnij+vaWVevkeHKHDMPnV3Gvs4Y3369kWBMZUGFk28dq8l3Pri6kzd3dSNL8I1jCphS7OJrz1UTU1Sun5/HmZNy0j70mEwmvvFSHTtaI/zg+ELmVwwsh54KYyf4nDI7d5xUnPT396oD3LOsFUWFC6d6uXJ27qD3nkieDjXA7nQ6CQQCvLlH81bsiSrIklY5eemMHGzm5IrRO5Y0s6YuxJwyTWZpoGRyd0xiXY2f7a1R9ndFaeqJ0xVW9O6agWCRwWMzke+QCSWgtjfoKDwbTxjtGpKnS0JRWbo/wD/Wd9IU6E+MRnnNnDHRw8lj3f28NlVV5cUdfv3+LXWb+c5xhYzN0x7ojB6n6ebf+DDocDiSJH+sViuxWCzrxLSxuhn42Lx2BoNYWwQBFUl/cV4HIvfv8/kYNWrUoRjux47DnVMd7uc/gk8W0WiUHTt2ZPXagXjjgUj6DYYDPeZQgwTCHx20/XDJjjae29atyz0DTC6wce5kDwsqnXjdLn09N3alGLmG8IyUZVkPELb0xPigIcS6+jDrG0J64lFgXK6VqUVWXt8dIBJXOWeSmxe291DkMvHn88v1MQ4luZZuLlIT46qq8vaOdn66tIWKHAt/v2S83hUPWnAoEonoRQCRSISPGoP8dGlbPw7sskh8cZaP0ye4kWU5o+R7qj96uuDeluYwd73bovtaW2Q4d7KHjU1hdrbFkIDPz8zhkhk5BxxcM8pK2kwSd52ieWIPlmS+Z3kby3qtoIpcJn57TlmS7GcmZCvHCLC5Ocy3Xm8C4KenFCcVYqbDgRaSBKMKq+tCvL2nhw8bwkny93l2mVPGuTl2tCtJbn0o+NHbTaytT75fS91mvn5MHmN8Vh5c1c57vYUPR5bauWlBwYCKRYJXpvseGOc3neeh0+nknrdreG1XD5dMz+HyWb4Bxy48wS0Wix44PBhpyuFI9EiSpBdhAnrxr/F+PZB7oaqq6n+ia3yEU43MwQg+WbS0tNDU1DTo67K1EBsuDOV5uzMc57In6wC4enYul8wqGBIfFc0AYq8YiLOJNV0k2UQRlxizqqo6XzJ6CZvNZtq7A3zj5Qbq/XEWVDi564wqPXaSqrg00HwOZW8ajIMKG5FgMKi/1m63s6ctzMOrW1lXp6l9+uwyV80r4qTRDlD7xtkUkvjOq7U0B+Lk2GRuP7EoqThVjDW1EUwolYok50DnlM299ZcPOnh6SzcWWevIn1I4MAdLRaM/xv0r2tjaot1zCyqdfO2ovH7y48Yx1bT18PzWLl7d1aMrlzotEgVOE9VdcZwWiXtPK2F0b5f2wagqdIQS3PZaIw09ccbmWrj71BI9Pi2wqj7C/cuaCMZUvDaZmxYUMLfcQXckwd1LW9jYFEFCK2z87DRvWo7odDrp9Ad4ZYefJzZ10dXL6Uf7LFwxy8e88swFAx8HRGOXMU5nhFE9UiSUxVogvrvZriuyLGM2m5M+1+hNfiAYDl4prHVE82Bqg9KBeNqbzWbGjx+vn++nGSOJ8QwYIZsj+CQRjUYJBoNEo1FaW1szPpwLmV9RQZ8KEeASi17qVzg1AKqqKg+sbOOtPQE8Npn7Ty9hQolPJ19DWSiFZ2JljoU/XFBF3PDeaK9835Obu4grWrLvS7NyWTzexb8/6ubxTcly8nYT3HRsCSeO8/LQew08t82P0yIRjKnk2GXuOrWciQW2pC4ZMTfQF0Qxbkh13THuWd7GnnZtkytxa0mtBn+Mrx2VSyiuyRxGE1oV4OVH5GKVVR5arRUOlHnM1Pvj/TraQeuKmFpkY2yulfF5VsbmWdnTHuX+FW0A3LSomKc3teu+LOmQY5c5otTFSaMdzC136ERQkiRkWeaSx3bTEVJwWSQ98GqW4ZhRDlbUhHQZzAWVTm5akM+O1ii3v91EXIGzJnq4dl4uVpuNXyxt4LVdWuDvunl5RBMqf/6gA7tZ4ldnlibJ7hhxxVO1tIcSPHBGCePz00ucZ0J7MM4Xn67TA3MPnlXKmF5pxQ8bQtyxRPOTP228m+vn5+keKtlU5hofLrJBZ9zMfe/Usb5RuzfG5Vn5+tH5jMvrLxm0pjbIHe+0YJbhobPKGJVjIRxX2NQUYWtLmD0dMRr8MdpDCUIxlcE2TJOkSePnO0yUey2My7MyrcjGxAIrJkli6f4gf1zbTqdBcWBhhZPvpOl+yRaxhMobu3v490ddulS8sfjEZpI4brTWRT6xwEYwpvDg+20s2689WCyocPKNY/L7SUy53e4BlS5SZbiMsNlsWXddG5EquyVImdFjVfwr7olUIjyUAHY2MAbaRcBWeHwdSPK+oqKCnJz+HvafNhzunOpwP/8RfLIQid3Ozk4A2traMr42kzxh6msyPaCnSzZKkkRxcTHNzc16B6gIph1oQHSowdTUYKksy9hsNjbXd/Ps1i6W7gvohYuFLjPnTvFxyhh7UmeO4BdCflwE5oznaUzSJRSVPV0q7+/vYl19mF3t/XmJ2H8XVTn59rHJe3u255hOUtPl0jyrjcpJv1hax/NbOjl7kodvHlumF4kag26KorCkOsY/P2zRu+rTwW2VuWq2j8XjPVnLXxvvm5ZAnD+sbWdlTd99NLfcyWnjXTz0fhtdEc378JaFWoDuQKGqKg+v7eDF7X5MEvzghCLmljsGvIcVReF7bzXzUZN2v4zNs/HLM4oxZRnUG2pR8m9WtfHKzh5KPWYeOqu0X0GmEQNZvwyEhKLy4nY//9jQSSiu+beXuM20BOIYnXrKPWYWVfX3JM+EDY0hfv1+u+4xasTsUju3n1iIuTcI9/quHv6wtoNIQiXHJvPNBQXMy3BtRbHhQIFAoSSU7tng2280s6kppFt6ZQPxfGWU3BS2SOLvxn8z+UsOd6LHeDyRLBfFK0PF/0oQc4RTjczBCD5ZiPWvq6uLYDA44FrtdDozrpeiYD5T928mBR2n04nD4aCtrQ2r1ap7dQ91/732+Tpqu+MUu0w8cvGYIb03nWS7MeGd+lro331t9BMWPuDGMYgk3ZYGP7e81khcgevn53H6hOQCp9T9Kx2GkvhKl4wV6i3iP6GeJM7X5XIRjUaJRqNsbFX47YpG6noltsfm2bjqyJykpquOUIIfv9vCztYINpPEbYsK9GYbI0cTzxWp19Yo6Z4JA+3Hr+308+AqTZ3yloUFnJAlV0hFQtG8uf+5oZOEqjVNfXNBflLXtxHi+aPDH+DtPQGe29qtz5OAzy7z6zNLyXOah3xPp6LBH+PW1xrpDCscUaI19hjtcpxOJ7uburh7WSu7e59TLprm5bIjfKjAH9e289IOLcZ3wmgXNxyd14+nGuc5GFN4fls3T2/pJtgbo55cYOOKWb5Biz8PJZxOJ9FodMB4cqb7JdXjPlsY72ORYBf/n+7fTM0+w205YSxYEuoPYg0dKrxeLxUVFZ9o4cNwYCQxngEjZHME/y0QkmrCeyYSidDa2orVaqW4uBiPx0MikdC7pIVvhpANEQuf+FksuEZ/FtAW4nA4TCga5xvP7WF9TRfjCpw8e/0iHGbN32Xv3r1Zj7snqnD1M7UEYio/PGUUx4/16FWNItG+rzPKg++36Z4rxiSvEWdMcPO1+fmYTCYeXNnKyzu6ASj3WvjxycWU9Er/GUmmserf6XTqyfJQNM5/NnfrSXmAacUOvrmomGue2ocMjM+3sqPXc+XIUjs3HJ1Pkcusd9SLLudwXGFvR4w97VHe2BNgV9vgQQqHWWJ2mZ33qkNIwPdPKKTQ6+TRdS2sqUu/GckSlHosHFlq54IZBRTZFf7vuTrq/XF+triEjrDKi9u62NKcvGGKgOuYXAs/OL6IHW0R7lnWigpcObeQy47MJxgM8ucPu3h2i1aMcOWRPtY1hNnYGGZivpV7TyvBnOIRE1dUPvOvalTgycvGY2foZO32t5r4oEEb74ljXNy8sICtLRG+/2YTkYTKokonty4qwOmwH1DSVFzzTO9LKCrPbfPzzw2dRBIqVpPEF2bmcP4Ubz9PHEVR2N4a5c7eriafTUZFu8cHa/6W0Ao/ch1myrwWxubZmFbsYlapA3caOc54PE51e4CH13axplartq3IsXDGBDd/WNuB1ybz6IWjDtq3JxJXeGmHn/9s6ta7wawmKckPssJrxh9V6AwrmCS4anYu5072ZKwUHYhMHezf0+FAqieNnd1CqnM4ZTQP9uElFf8rXeOHO6c63M9/BP89EEVCglPG43H8fj9+vx+v10tRURF2u10PVAYCAT3xKstyUhJWrHdGnur1evW1NRaL6Zw0P1/jG0L6OxQK4ff7aW5uHtL4RfJZBACNCh0DIdN+IYKSzd1hXt7RzQtbu+gMa3uCzSRx4lgXF07PY2xBn+1PKBTSCy/TBSpEkFaSJAKBgP77znCCD+u1bvJ19UH80WQCUZljYXaZnTllDmaUOPC6nEm+k+n2KqOqkBEul0uXe3c4HITDYf7vuTrqumPccWoZx431EQgEdN/4zmCUP69rZ+m+YJKqjcMicfIYN1fM8tEWUrhvRSu7DVw31yHz1aPyOGligd6NkepjabwGLV0BntzcxbNbu3UObjVJ3Lwwj0Z/gr+v12Q4x+Za+O5xhZR4Bpe0HAjCH1xCC3weP8Y1IN+IKwo3vtzI3t7C1ZnFNu46uQiLxYLVas2Kcww1gBWIKlz3Qj3toQSfneblS0fmDvh6o9e8CIYPFJDaUNvFgytb2NOhndOUIjvXzctlbK5V7yRfXh1gXV2y3LqWJHeyqKp/J/nWljAPrGyjrrvve5fnkLn8CB//3tStJ8pz7DL3nVZCae91rOmKcc+yFr0w+LzJHr50ZG5aT/OBOv+MndSpUFWVS/+jybT++qzSIXnSD5VXGju7RUFRagf7wWK4E+3/CwWXI5xqZA5G8N8DIUcs+EosFqOtrY1EIkFBQQH5+fl6nFKWZQKBAGazWS9uEmodYl038kqhSiOK28W/Ho8Hp9NJV1cXHo9HP25jY+OQ1nCjdd+/Lh1HsduStdVbpv1CKBQZ92mhyCNeb7fbSSQSepxKFDxlKgiz2+088VEHf1jVjM0k8cCZpVTkDI0fiY71YDCYMUEuOHrqniN4reD2gg+I5hVjYk1woLii8tIOP49t7KKnN9a0oMrNl+fmU9SbM1ZNVn70Ri3r6kO6LeaZEz1JzQXxeDztPjgQDzAi3Xs3NIa4/a1mEipcOiOHLxzhy3oeUyGSplsa/Ny/oo2aXpXHsya6uXJ2bkalISFXH4lGWVcf5vlt3XzY0Mcd7WaJr8zN5aRxXkzSwaXhdrVF+M4bTYTiKsdWaTFW2ZCUNZvNxBIqD69p5YWtWkx4ZqmT759URoHLwnNbOnjovUYSKkwqtPPdY/Mp9toxmUx6rD11jv2RBE9t6eaFbX79ueLIUjuXH+FjYsHQmqqGA4MVlg7G/w5E/RGGbtkoCieMuZ0D/exMGE4FOIvFwrhx4w6rgsuRxPgIRvBfAiGtc6gqc5q7w5zz0HKauiOcMqWYP1w+B1DZsmXLkI7zzw2dPPZRF1U+Cw+eVapvwKJbSJIkYvEEf/uwg2e3+vt12M4ps7OuPozDLPGn88tZ3xjm/vc0iW2XReIP55WTYzfpcpbC10OQKUDfpJ1OJ+/ubOP3a/p3Nvzm7FJWN0T5+7o2PZnssEhcPTuX08a79Xn+0dvNrK0PcdXsXC6Y6tWPG45EuOhfewnEVEb7LNy0sID93Qp72qNsbw6yoy2SVkJdAkbn2RjtM/NBXYiuiMKi0W7ml9lYsjfAjraoTiSNsJkkVLTO+++fUMyi0W4toepXeHFbNy9v7+r3Ho9V5gcnFLK7I8rDazQZ85sWFXPSaDt2u50/vN/AE5u0goPzp3h4fVcPwZialiw2B+Jc9UwdZhle+tIEzCbTkBOUS/b2cP97WteaLMGPTijinvdaCUQVZpfa+cEJWjVjuk6obCEKRFLHtqcjyoMr29jZWxU5s9jG9UfnY5IkNjaG2NEWpborRlNPnO5IgmgWeVOrCbw2E0UuM1U+CxPzrcwotg8pqBtXVJ7d2s1jG7uIJFTMMlw6M5cLpniQJPjCf2oIxFTuP70kSW7qYBCMKjyztZtnt3YT6m0byrHJdEcU/fsooSkPfGFmDpW+9AFGIW9+oHJpB5LkHo7qyeEmmkJmFxiSp08mlJWVkZeXN1zD+8RwuHOqw/38R/DfDaEIJCrZPy50dHRQV1c3pPdk2mvEWp5JBSTb5FI0obJ0X4AXtvewu71vb5hT7uTC6bnMKXcS6w1SyLI84L5l7GJKhaKqPLWpi79v6M/XQON5M0vszBvlYl6Fi0J7sqejCKqm40bGrm3R2VPd2sNVz9YhS/DYRRUU5LgwmUx8sL+DP65rZ1tzsrx2qcfM52fkcOa0wiSZPUmSWLe/g1+ubKPB0OFS4jZz4zH5zB2dq18bo1JVLKHy8g4//97UhT/Sd30qvGa+d0IRj6zvZEWv1PZpE3O4bl4u5oMMBL6wvVvnu1+Zl8s5k7S1NxN3CMcVvvpCvd4pv7DSwXeOK0p6zUBdygIHwmdW1gT5ybstyBI8cObQkrmZ0BNVeGR9B6/s6EFF6/K/Zl4BZ07JJZLm/LNJko/2WXh8U3eS4lWOTebLc3I5cazmM6goCr9c2caSvdr1lCX4+tH5nDJO+3s0ofLXDzp4Ybsf0IogbltUyKiUIL8o0MkUfjKbzciy3G8t6AgluPypWmQJ/nNJxYAd+EYcaDd+Kg6FNLCxa/JgOKvFYqGqqkrnqZ9WjHCqkTkYwX83RNL3406W7N+/H7/fn/XrFUXhwn/XElNUjhvt5LZFmnKP8BFPlSo3YijJJaHcY7VadQ4hOJ1oGBqsqUM2mfju6/WsbwgzNtfC/aeXpi0qSzdOWZZ13iM4ikiCi+LKTJ8v5JdFch+S7UbE8ZxOpy5BbSwI8EcS/GdrgOc2d5BQNcXE86flculMH04zmCxW7n+njtd3a13JF03zcsUsX1I3rfAMT00yCkXNgfZuk0lTfhKFqrVdMW5+rZFAVOH40U5uWVhw0DF1se9H4gp/+7BT5zflHjM3LywYMBFs5Az7OqP8e2MXy6v7OESew8TZkzycNt6dUaI9GxhVOc+d7OGaOblpz3vpvgAPrmojFNPUfW5ZVMCRpQ42Nob52dIW/FGFfIeJO04tZ7RX0p81MvHe9mCcxzd189ouvx4PP6bCwWVH+KjKEFc8VBiMnw3GO4f787KBKGDORjk1WwgFC1HUcjBJcq/Xy6hRo/Q17tOKkcR4BoyQzREc7lhf08nFD68kGle44aTx3Lx4Eps3bx7SRtETSXDVs/UEYwrfOa6AhZV9EjWi++iFLR38fk1bv8RxvtPEtxbl8/DaTna3R5leZGOTwQtybK6FX59VBmiJ9kgkQjwex2636x0U8Xgcs9lMoz/Kb95rZPn+Hv3Ys0vtvLE7wPg8K7csLOAbLzfo1Wyzy5xcPz+XIoPveVxR+dwTNYTjKr8+s5TxBXasVivhcJil+wLcu7wVgB+eWMi88j7PbZfLxfl/205XJIHbKhGKqSRUzUcxlqEQtdRjZnyelQkFDgodsK8rwYcNYfZ1RJI6egU8NpnJhXZOHKPJH577j/3aeTpk2kJ9HyIBp09w47TIPLVF8xb/3nGaR7jdbudf69v5y9oWAI6pdLGyOoAswa/OqWKcT9blsDfU+bnxpVpKPRb+eJ52DYZaeRaOK1z+ZK2ejLWZJCIJlSmFNu48uSipunIwH8jBIAKZwUiMR9d38Nw2P0ovMffYTIRjCSIJBpU+B63jv8xjpjzHwvg8K9OL7IzPsxw0GdjWEuGhVW16sHFmsY2vzc9nXJFHf5D52dIW3qsOHnRlq4DD4dArsrvCCZ7c3M0L27qTZDVT79PpRTbOmKB5sKY+jGVD/jK9ZqjXeLgqHYdbmigVw0GI8/LyKCkp+VQTzsOdUx3u5z+CEaRDd3c31dXVQ3qP2CvEHpBqqZGu0wUOzJN89b4OntvWzaqakM4PKnKsfHZmPqdOyEGJDpwUF3tUpgKs5fsD3L1M447TCm2cP83Hmroga2uDutWJQKnbzOwyzVrnqNG5WCQl7R6Y+lni59d39fDr99uYWuTg7lMKeGl3hCc/aqct2LfvyhLMKXdx/YJiKnw2PdAly7IuKy2CoZIksb45zi+WNdAW7BvrmDwbNx2Tx8Qije9Lssyb29t5dEMXDf7kJP5xVQ6+MKeYn7xdT3VnFLMMXz26iFPH2HWLlQPFO3sD3PeeNrefn5nD52f6kv6eej90heN89YUG3RfxrIlurjsqP+2x0/laD3TsbPHTpS2sqA4yIc/KfaeXHLAykKqqvLsvyJ/W9VnxnDTWxVWzc8l1mHG5XANa38DASXIBh1niytk+zpzYt6cZz/3dvQF+saJVV1ZaWOngW4sKdC6zqjbIr1a20R1RsJkkvjIvj1PHuZICtYMVLwpLAyOP29AY4ntvNlPutfDwuWUDT5YBw5XQHg4vyIFwsPxXlmVGjRr1qeYiI5xqZA5GMIJ0qK2t1W2DssVPl7WxYn8PNpPEU5dW6rEBkdw1m81p19yhFFMZbYqE16/oEjdadhhVhlLhdDqpbe3m+pca6I4onDfZwzVzBy6ez2ZfE7FTY7I70zEEHzTuuUI9KlWx02QyJRXc1nRF+f37zbxfrfEPr83EZbNyOX9GAZFQkCc2+3l0vVbMeMJoF984Jh+LSUryMBdFBUalFvGvsbtcxICBpMR/Y4efm1/RPLcnF9j46anFWLMoLsgGxr35w4YQv1zRRnsogUmCz83I4eLpORl5Xarl4MqaID9b2pJk2Wk1SZw4xsV5kz0ZG1UGw7t7A/y8lxt/6Ugfn52WXj2mrjvG3cta2NsRQwIumZHDpTNyaA7EufOdFqq7YlhNEt84Op+TJ+RktEs0orEnxmMbu1iyN4CianHpE8a4+MLMnIyNRIPx7aFCKOgO9L21Wq0kEom0rxlqQ81wKUkOtet8KDjYODtoa0hlZeXHXmA/nBhJjGfACNkcwQjg6Q9quemJDQA8cNF0xtsGrsAUhMjYRfPYJj//XN/OaJ+FX59Viqu3mrC9u4ffrm7n7T3JBLDEbSYQU/BHFCRgdm/XuMCxVU6W7Q9S6DTx1wtG6Z+bbsOMJVRe3Bngn+vbCcdVZAnOn+zlczNz+O4bTexqj7Kgys2amgCxXuZxzZxcLpiuyRgaN8TNzWG+9XoTXpvMvy6uxGyo3BKy5l6bzD8/O0on0VarlafWN/Kb1RrJc1sleqIqc8rs/PiUMtpDCV7Zrsk8Anh7O3XTocBlZqzPQpHHQn1XlI+aIvqYM+GmY/Ioz/fwn/XNvF/bF6SxylCeY2VvRxSrSeInpxQxpdCOxWLh2a1d/O59LTle7jFT549T6jbz67NKyfO6egsBerhnWSvTimzcs7gEQJdXGopf8y9XtPKW4fpX5li4d3ExbltyNeRQN+y4orCjNcrm5gi726PUdcdoCsR1n5uBIKTP8xwmSj1mxuZa2doSZWNTmEkFVn5+WomufDAcCPR29Lzc29HjtclcPTuXk8a69ApBcR++sbuHX61sY0KelV+eWXrQny2UFgSRreuOcde7LboElMD0IhsmWeKjprBO0HNsMqeOd3P6BDclbo3MDvSAKP4mHv7S3SdDfcAcjsDjcHf2HKrjO51OKisrP7UyRYc7pzrcz38EI0iHpqYmWlpaBnyN6JYUNkBinxCBslQZY+iTdjQGI4a6Zxh5R6M/xgvb/by+u4dQL49wW2UWj3dz9iRPUhElJHtJDvT5D73fxqu7epAlUFT49rEFLKpy9VoNxVhXH+KD+hBbWpJVh8wyTC+yM7/Kw8xCM5U5msx1Ov88u12TOvzRa/t4d1+QSq+Zhp5EEn90W2VOn+Dm6qNKSMQieiDHbDbrsveiwzQYDPZLzC2vjfKblU1JneBTCq2cPdHLc9t72NEa1sctzuOLs3yUeS08sLKNUEwh32niO8cWMrmwr6vmQPfPtXUh7nxHk8g8e5KHr8zt3xVjPHZTT5zrX6zXCzXTJdLTwdhFlenYQ0F7MM51L9QTiKl8eU4u508Z+l5R1x3jt6vb2dCozfkor5mvHpWf5Os4lPE1+mP8/L1W3fIqFaKTfGGVizE+iy45L47f0hPn5tcaaO8t0i1wmrj/9BLyndp3pi0Y5/4VbWzsHe+xVU6+Nj8ft1UecKxGZYjUAkehFHBMpYvvHVeQ1XmmHvNgMNxKRKkYrsLQoqIiCgsLP5W+kCOcamQORjCCdNi5c+eA66/gh0JRUFVVWiIyV/5Hs4v89rEFLJ6idY0b+dTBxh0GWreF2pyQTU6FiCmK8ayqDXLnOxp3vuOkooxe1tns9W63Wy+Us1i0eI6RO6froBWJZyH9Hg6Hdd4biUSw2+1JXuqiGz4YDGKz2VjfGOY3KxrZ16Gda2WOlS/PzWN2qY03dvfw4PttKCrMKnXw3eMKyfM49D1ezJXRi9nlcukFBcKTPd08xhIqP1zSwsbGEMUuE/efUYrvIDqwU5G69/sjCX67up1l+7VrMKnAys0LCygbQE3SaBvw5u4eHlipqWsWu81JiqdHlto5b7KX2WX2IcclhTUowI0L8jm5V+0nFZG4wh/XdvDqLu3+mFls49ZFhdhMEj9/r5U1ddr34eLpXq4+qphYlrykujPKPzZ26SpRJglOm+Dmkuk5OjcUsFqtuqXCcFkfZuJoxjjkQPZb2fLn4YpVDhc3zYThSIyDNn8VFRW43envp/92jCTGM2CEbI5gBBp+8tIW/rhsLw6LzD2nFjM2L3MlkHFhFSSuPRDhiif2EYwp3HFqOfNKrdR1RfjJuy1JUnygSXh/cVYumG38ZkU9b+5OTppPL7Jx44ICrn62DosMT19aqXcLpG5wHzWF+d3qdqp7k3wzShxcNy+P8YVOqrtifPmpff3GP7PYxk9P1RK9qYEW4VN4bJWTH55aof9tT3uEr7/cCGj+3Bf2Vt6JpOP5j+ykJ6roAcHRPgv3Li6hKM9LY1sXX3tJ67Y5e5KXm44vp60nwt7OGFsaetjTEdUTu5lQ4DJhM8l0hNInfs0yjPJamF5oZWd7jO1taXwfzRL3nV5Clc+K2+3muU1tPLC8ERXN3yYcVzljUg5fm+fDYrHwxIY2/vxBB8ePdnJrr+RUujnLBFFAsWRnOz9d2qr//oIpHq6a07/yNROBqeuOsrEpwo7WCDVdMZoDCfyRRMZO/KRjmiRy7DLFbjNVOVYmFViZWWLvR8i2toS59bUmJOD+00uGzRNHVVXeqw7yh7UdemfYyb0dPUaZJGOlYXswzhVPa7Kzj144ilzHwZF5cb0cDgdvbm/tDVCr+OwyV87O5YP6EEv3BVHROskWVjrIdZhZvr+vm00Ur5w5wcO8UU5Mcv+KRrEuDFTtmI0UlsBwyV2Kz/00JMZBuxcqKyt1GbNPEw53TnW4n/8IRpAOzc3NA3qMp+79oqtFeHwLT0Pxu0zvg6EFKEQXT+p+FYwqvLmnhxe2+WnoDVDJEiwa7eGzM/KYVuzQvTHTjSF1P7jm2ToaeuIcV+Vk6f4ghS4TvzunrJ8fYTCmsKk5yrr6EGvrgv3sgAqcJuaWO5lf6WFqvglXb1LRYtESlauq/XzvtVpSaymrfBaumlPAnFKrfs6iG0h024gAnRh7Jp5nt9t57INm/rmxk3A8+YNsJgmrScIfVbCbJb59Qilbm8M8vlHz9ZxV6uSWhXlpA5TZXDdxnuFwmM1NQb7/ZjORhMrxo53cvLAgbdBQnM/ejig3v9qgW+ZcOy+XsycNbY1O9Xk/mGDYqzv9PLSqHZtJ4jfnlOqFh4MhmlD5z6Yu/rO5i7iidRZdMj2HC6Z6D0jdpy0Y5xcrWtnQ2HcPW00S50/xUOEx815tqF8neZnHzLFVTo4d7WZMrlX//iiKwk+WtrKqt0DXLMGtiwpYWKWpCiQUlae3dPOPDZ0kVChymbh1UQFTCu2DBifT8cHfrm7j5R09XHpEHl+Y4clq/oabqw1Hh1AmDGfi3ev1Ul5ernu1flowwqlG5mAEI0iFqqrs3r17wFiUca03Wi9e9I8dtAUTjMuz8uuzynTp7nTvExhKF2c2e4zFYtG5l1DWBK0gMTU59vs17by43Y/PbuLBs0rTxoQGS6iJpLexYcGowpIuNiPmSzRBiaJJkag2JsCF9Lro8BbJcrvdTjQW59Wdfv6ypllvCppdaufqObm0BhPcvbSFUFyzqLxrcTk+a3JiHtCvj/BkFnMlSRJWqzVpn1RVlQdWtvHWngBOi8zPTyseUMZb+MQPhRekm29VVXlnX4Dfr24nEFOxmyW+PCfZqjPdcURxwd8/7OA/m7sxSfDlublsbAzzvkHFapTXzLmTvZw01pXRyzwd/rKug6e3auqht59QxNzyzLGlJXt7+M0qrcnMZ5e5dVEB04vsPLqhkyc3azacx1S6uPGYPJyW7Mewsy3Co+s7+aDXV91qkjh7kofPTvPi7W2SEhxwOJV4Mh1rMEsum82mKxNkg+HiasPpB54OwxlXBSgtLSUvL+9TV3Q5khjPgBGyOYIRaEgoKlf+bQ1Ld7RQ6DLxywzVdQMtqo9t6uGf69sYn2/j8zNyuH+F5iUt4LbK3Lggn/mj+iTI/VGVW1+tp7a7LwAoAfcsLua215sAePziCvK9ziQC3BFK8JcPOliyV0uq59hkrpqdy9nTCwmFQiQUle+/1cRHTdpG5TBL2C0yHaEENy/I1z3yIJnE3vZaI1taIlw/P48LjijWf/+9N5vY0BjGLMMTl1Tqcjw2m40n1rfwx96KPACfXeaBs8qpzHcTDAa5f0UbS/b0UO618KszS8hxOXQSqSgKJpNJC7bJFjbXd7GvS2FnS5A9nTH2tKffIE3AQFubtVcaO3UxN0nwuZk+zpnoxm0z8V5djHveqU8KpP7wpBKOH5/Lr5bW8tw2PxdM9XLV7Nyk44gAoSD1gmyLayTmNBRT+P5bLWxv7bt2XpvMXz5TnkTsusNxtnWobKzzs78rRqM/Tkc40S/wmg6yBKrad66TC6xcOTuXKQVaAYCQZcpEehOKys2vNrKrPcricW6+fkx6Wc2horknzu/WtOuVlmUeM9fP7+vokSRJ70SSZTlpfN94qYHdHdEBKzyzhclkIhyN88iGLp7ZoqkWTCuycduiAr1AYG9HlH9s6OwLaMqaHP+4XBtL9wf4sKHv+hU6TZw9NY8TK63kGQoMBME0Fs6kdtSJilCLxaJ3RWfyKxrOAOahlrwc7sS7JEmUl5fj8/mG7ZgfBw53TnW4n/8IRpAOgyXGB1o/RRBMdIYIz+1IJJL2fUNZ6wd7bUJRWVsf4vltfr0zF2BCnpVzp3hYVOnCapbTBkxFoKSpJ87Vz9ZhkuBvF5Rz86tNNAfiA1qliI7wfW0h1jVo3eQfNSVb7MgSTCt2MLvMQVN3lBU1wSQlIpMMR1e4uG5+ISVem94JZPQlF0FNWZaTfCKFJ2a6uXE4HNS0+fnXxm5e35VeXarIZebGBfk8trGTjb0c/MJpOXx5XiGJeOZEopA1FJ7S4prH43FkWdYVBWr9Cre8UkdPVGFOmZ3vH1+U0X/TbrezZn8H339T6yyXgNuOLeDYKlfa1w8GEZgVvPJAeYWiqnz3jSY2NUc4stTOj08qGjS49GFDiN+ubtc93+eU2bl2Xh6lhq4kWZb1+QMyJg66wnEeWNnG2ro+z3mLDOdN8XLFETlJli7BmMKa2hDL0sitj8qxsrDCrneSS5LEKzu6+d2aDv25YvE4F18/pq+je3trhHuXt9LUE0eWtM79i6bl4HI6+o1X3KdGXimkar/5/D42NUe4aUE+p4z36pK1QD9FBYHhTGYfSslLGP6OdJvNRlVV1adKAnOEU43MwQhGkApFUdi7d++A+2+m9fPxTd26jPczl43FY7ckxWDSFQVmyyuFxeNgyaeB1vbUz4/EFW56tZH9nTHmlDn44YmFSUWA2Sa7RCNTKmcWneTG4gFRAChkv2VZ1vdUh8OhN1uIY4lEoslkIhQK4XK59H3WbDYTDAYJxlQe/6iT57Z1E1c0Dnv6BDcLK5zc3ytFXuAy86MTChmda02ap9RuduHZLjirEU9s6uKR9Z3IEtx1ahlHFGsFoUZeZBy3eH+2cZzB9v3mQJxfrmjV48/zyh18/ej8AZtcrFYriqrykyWNLNvXg9cmc9/pJciQVsXq9Aluzp7oocA1uLqgoqr8ckUbS/YGsJkkfnpqMZMGaP6p6dKk1fd3xpAluHRGDp+flc/S/UF+sbyJWEKlymfhBycUZl3QKfBRU5hH13eypaV3zi0Sn5ni5bwpXgpy3Gmvy8Egk8qpOL7glYI7pj4nmc1mXZkASHt/DGcy+1DbPh6KjvTc3FxKS0s/VTaQI4nxDBghmyMYQR+6gjHOfWgZ+9tDTCuycdfJxf2CTQORw+5IgqueriWchp9NK3Zw84K8JCnKen+MO5a0UNcdw22RmFNm5939fYk5CS25+/C5ZUwoySEYDJJQVF7Z2cOj6zsIxFQk4IyJbq44wofbZsLhcLCrqZtfrmhlW68k4BifhS/NzuWHbzdjkeGfn63AaU1ewE0mEz3hGJ97ooaECn+9sJJil9ZZ0xVOcNmTtaho3b43LugL8NhsNs57ZKfexW01Sfzy7EqqPFoA5t29fn76ThOyBPcuLtHlI+12exJBE5uz2+0mHo8TDoeRZZn73mvl7d1+FlW5yHWY2d0eZXdbWPdJP1BYZThlQg6Lxzpo7Inz8+V9/oAeq8Rvzynn4TXtLK8O8n9zczl3cnbro7HyMppQuWNJMxsaw1hNEtGEqntZj/FZUFRoCyUIxpR+HU6pkCVwWmTyHDJlHgtj86xUei0s3R9gRY12z5R6zNwwP1lKErRra7fbM/o5vbbTz4Or2nFaJP5wXvlByy0lFJXnt/n5x4ZOIgkVswyfnaZ5DomCCrvdTjQazUhQHl3fweObujmuysltxxamfU02kGWZJn+Uu5e16BKZF071csUsX1r/o20tER5Z36EHs+1mifMmezimwsnSfUHe3NOjB99NEhxd4eTMiW5mFtuTEv3GBw2j/5MkScTj8X6EN92D3XASuENNNg/V8QsKCiguLv7UVGMe7pzqcD//EYwgHRobG2ltbc3492yCjsZglHh9puBJtnvHUPaYvR1RXtjmZ8neHj0xmOcwceZEN2dM8CQpwEDfnvD6Lj+/fr+dqYU2Hjx/DG9sa+XuZa1YTRK/O6eMcp+9XwLP2IETCoVwOp10B0JsaAiyoTnG6mp/UjFpKkrcZv528Rji0Wg/aU7RjQ/ogUXx+VarlVAopP89NRwQiCo8s62HZzZ36hx0YZWbhu4oezr6AkMSYOtVIXJYZL5xdB6LDjARLbqOQOsaavTHuO31JtpDCaYW2fnxSYUDds+srg9z59tNuiLOj08qYlbpwauxiIKNgwne1XXHuP7FemIK/Qp2jegIJfjTunbe3acF5fIcJv5vbi4LK51J3CCbwG4wqvCrla2sMHQimSU4faKHL8/xYR4kuBWMKWxoSfD2zg7WpukkX1TlZFGVC4uk8q03+jrEyj1mfn5aMV67WR/Hb1a36ec0vcjG908ehduUfF+LJLhRLUKSJFwuF+f/bRud4QQPXzCGCjdJ3+WDSW5kg0MteQmHpqDz0yaBOcKpRuZgBCNIRSKRYO/evQf03B2NK3z28RoUFT47I48vHaGpjTgcfUpAqcj2GT/b1w20tqfbx/d1RrnplUaiCZVr5uZyniEml/qZwnLIuD8ZPc5B43YisS0S4vF4nEQigclk0hN9Yv9VVZVEIqEn1lObHkRCXXBKs9lMJKLZ9aSqETX4Y/z1g05W1GjvdVkkzp+ex7u7u6jtjuOyyNyxeBRzRrn1c4jH43qifaDrtHx/gLuXac8a187L4+xJ6ZVkrFarnuw3zlM2e242iVBFVXl2q59H1ncQV7Tmra8fnc/8CueA7zNZHXzjuT3saItS7jFz/+kluG0mglGFN3pVrBqNKlaVTs6b4h0w0Q0QV1R+vKSZDxrCeG0yPz+thHJv5qR2OK7w8Jp23uhVdD2y1M7NCwto6onzk3dbaA8l8NpkvnNcITOK7RmPkw6qqrK2Psyj6zvY06FdU69N5tIj8lk81o7NLA9rsjndNRWxatGYI75DLpdLj0WmKpRB+u/mcDbGHGp1Szg03NXhcFBZWalbNPy3YyQxngEjZHMEI0jG+j0NfP6vHxKMqZwxwc3X5id3z6Yu2qKLw2w20xmK89Vn9/WTf7x0Vj5fmlNALNJH3La1RPjxO1rQpNhl4o6TihmVY9HlBY24dWE+Z0wrYkNNJ79Z1cau3i7q8XlWvnpUni57nVBUXt4V4q/rWvXOGptJ4rGLRvH45m4e/6iLoyscfP/4on7n7XQ6WbqzjR8taabYZeKfl47XiebvVnfw0g5NQuaRC8r1Llmn08njG9p4eFVfJ9S3jy3g2NFuTCYTHWGFrzxTTXckwRdm5XH5rNx+EvSSJJFIJEgkEjppFVVrbrebe9+u4eUd3XxpTgGfneLSNjQV/rq2lae2+pElLaC0uyOW1J0/FEwqsDKlwMaL2/2IBu0jS2wEYyrb26J857gCFla69DEDGf2RFEWhuivOhqYQz27x0xLUCIYMZDM6u1kix26ixG1ijM/KpEIbM4pt+Ox9BRWqqvLWngB/WtdBT1RBluCCqV4unZGDbYAAqZhvYyCzJ6rwf8/V0R1RuGZOLucdgNejETvbIjz0fju7e4PE04psXD8/n4ociy6ZpKoqkUhkQGKypTnMba834bZqfvbpktjZYGNLgrvfqac7ouCyytx0TD4Lx3gH9ZhZ3xDikfWd7OiV5HdZZT471ctpE9ysqwvx8s4etrb0zWO5x8wZEz2cPNaFx2bSu+AB3ZcKtO+MkEoyPlClI63DGRA81JKXcOi60t1uNxUVFZ8KCczDnVMd7uc/ghGkQ3V1Nd3d3Rn/nro+iyCb6GIW3Egkw2VZ1gN16XhItsGFbIKYqUVbXeEEr+z08/KOHt1qxCLDCWNcnDvZy5jcvm5Mi8XCT96uZ+n+IJfOzOGyI3JRFIXvvdnExqYIC6tc/Hhxhb5viMIyk8mU1M1tLAJY2xTnL2taqO4cOGg0udDO7DI7c8tdTCtxkYjHUBRFt/+Bvm5i4zzYbDYsFovuRQmQUCVe3t7FYx916YnOqYU2Lp/l483dPby1RwueFbtMNAWSC9zOGO/iuqPyMnYTCG/5bHhRRyjBba810tATZ7TPws/PKKfA60RV1bTX++19EX6xXLNAssjw89NKGJ8/PDY5AkafyAOB6G7y2mR+d05ZUoGFKAR+ZH0HwZiKLMFZEz1cfoRPL+4V82dUbEqHcFzhoVVtLN0X1AtRZQlOGevi2nl5WIcgzSm4jugkX1EbZnVNT78k+YIKOxuaouzs5ZFWE3z/+CJm9/qkqqrK23sD/G61Jt3p6Q0eH2MIHovgpdESKBQKEZWsXPDoTiTgxSsnQjyaJBN7qHnlx8Ep0yU4hgslJSXk5+f/1xddjnCqkTkYwQhSoSgKW7duzdi5m259FskwgBue28fmphBem8zjnxutJ4pVVU2ySzEim85si8WCqqqDxlgG4qiZeOlL2/38bk07Zhl+cXopY/Os/fY0EWMxqtkIdUpFUYjFYrqSYjweT1IQEolsk8mU1Ejicrn05LgkSYTDYUwmk54kt9lsupoT0C+2YzKZ9ISZ0T98Q0OQP63t0ONlxS4TNrNMdVcMsww3H1vMsRX9k66Z5m5Ha4Rvv9FENKHymWm53LCwZFBelGn+QUvyp9vjh8Ij9nVEue+9Vt1SdPE4N1+emzugDHlnROGmVxpo7okzs9jGHSf1NaklFJXVdSGe29rNpua+GNzkAhvnT9GaWDLFC0Mxhe++0cTO9ijFLhM/P60kSfXRCKdT49WvbOvgwRWaZVGew8Rtiwoo8Zj5yTst7GyPYpLguqPyOH1CdlY2Rii9VpP/WN9JXa8KUr7TxKUzcjhlnBuv2zUsSeJsilDEa0TSWCggyLJ8SJtqMo3nUOJQxSrNZjOVlZV60cx/M0YS4xkwQjZHMIJkVFdX89aWRn78Tgsq8NWj8jhzYt+GJ5J7qVKW21sj/GxpC63BPtLotEj84ORyZhQkJ3Terwny8+WtRBIq4/Os/PiUUrwGZbfvvNGoS9CAllQdn29lZ1sUFS1Jd8URPk6f4NYJQF13jAdWtunJuly7TEdY4ayJHq6dl8tXXmigvjvGrYsKOH50/84Vk8nEw6tbeHarn8Xj3XzjmAJUVcVic3DO37YTTahMLbTy4PljdWIdj8c5+++79CT8F2f5uGi65j1uNpv5wZsNrKkNMqHAxr2nFuN22onFYro8kUgyCzl1AWNn1IPvNfD0pg4umpbDF4/06YT5bx928OTmbhxmif98rhJVVWkKxKkNSOxqDbOzNczOtjDtweyDdWYJjMrlLjME4prn9sxyr06qQfPB3twaY2d7jN1tYRq6o3SFlSF1spd6TEwrsjMxz8rsCi/FDnXQIE2jP8ZDq9pZ3ytrOi7PytePzmdcXvbSgEZS8Ie17Ty/zU9FjoUHzyrFfIAJ6GBM4dH1nby0w4+ialJHV832cco4ty55NRDhSZX7SSgqX3iylp6owr2Li5laNLSKzISi8q+NXTyxqQsVrYjk28cVUOK2ZE2KVFXl/doQj67vpLpLu+4+u8wlM3I4fbyH1qiJZz5qYcmeAKF4n2LCsVVOzp+ezzifSSeYxmIEp9Ope1RB30ObkOBSVXXYJSQPteQloEu/Dqd/j4DVaqWyslJ/YPtvxeHOqQ738x/BCFKRSCTYvn37gMkdq9Wqd5gIKW1jYNG4Hxh9ETNhKPuH+Gyx96QiUwIsllBZ0xjnPxta2WmwvJlZYue8yR7mlTtwOp1c+MgOuiIKvzy7kgk+rZOm1q/wf0/vRVHhrlOKOarSq6uqRKNRvZNFcIZoXOEfG7p4bVcPAUP20SLD8WO9XDbTTXVnnDuWNJOOgnlsMnPL3cyrcDG/0kOuQyte6+npSZt8E/On9gauHtnQRX23Ngejcix8aZaPiflWfrasla0tEWQJrp6Tz972MG/u6a/M4zBLfGGmj/OnJq+J6TiRUFNK9bvsiSp8541G9nbEKHab+fniYvKcZr2jXBROiGv4xEedPLKhS//8X59VmiQ5Ppw4GH4RV1S++XID+zpjnDDaxS2LNEWqXW0RfrOqXb+3JuRZ+dr8vH6J/YGKO6xWKz3BMA+v7eDN3T36vSFLcGyVk68dld9PPSsbpPXXNFlZuquD5dUB1tWHk2T/vVaJ7mjfz5+Z4uHqOXn6z3XdMX6+vFUvej5ropurZucmFbqKAgBxv+zsghtf2E+x28yfzy/X/eeNtj1ms1l/VoXhDToeahUigUNpA+Tz+SgrK/uvlsAc4VQjczCCEaSiq6uLmpqaAV9jlAVP9aHe3BLjW6/VA/Dz04qZWabFOQcqdhrK/mFMsg/1WJn4hKqq3PVuC6tqQ4zymnngzFJyPS49EW5M5BqLS40IBoNJCX7hb26z2YjH48TjcRRFwWKxJO2biURCb3gQY8vUeWpMNAqkFhWI/TyhqLy+o5M/rWmho7fQNMcm09VbgPnlowo5b4JjUGWc5kCcm19ppCOc4KhRLr53XL4eH05VHcoGNptNL8w1vkcoIw6lmzmWUHl0QyfPbOlGRVN0unlhPlMKM8dz9nVEue31JoIxhcXj3NxwdH8f593tUZ7b1s3SfQHivZeh0Gni7EkeThuv2WWmojOc4NbXGmnwxxmTa+HuU0twpVFQNV6r/Z1R7l7WSk2XJq3+xdl5nDneyYPvt7N0v3Ydzp7k4Zo5uQfUxJNQVJbWRHlkXYveTFXqNnPZrFyOH+PSvDIPAgM9D4pCYfE9NT7vif8X3euiuOP/2TvrMEnK6/t/qt2ne1zX3V3YhcWCSyCQLwkhShIIgZAEIpAQVxIS4kICgSS4uy62u7DuLrM77j3TblW/P2remuqe7pFlGTa/7fM8POzMdHdp1z3vufeeK66/WKMeyw7skUiMw/vHKyVJorKyEp/PN/iLP0AMh1MNPqwgjzzy+P8WJpOJhdUOPjnHy782+/nruk5qCsyaVYosy2kzQFKpFM/uCfC39Z39BLkyl4UZRekB95k9Af66rhMFWFBp55snF1NUkB4IPjHbyzd754uD2mksOlfnV9q4cWkx5V6HKuyFwjy1O8B9W/zEUwp2s8RVs7zcs0mdH3T6OCcHOuM09iSwGiUWVWW3UEylUmxrUbexsMatzRh5cGOzJvB8dl6hZhMO8Oe1HdrfFlfZuGx638P16Z1drKsPYzbAt0+rwmxMoSgKFotFsysSJNRkMmkVpqJKDVRyKfhKXFa0Cj5Qu5YALKY+4lfuMjOu1MHy0S4tyHdFUqr9emeMNw+HOezPTfozx3mHenXplw9089/NnbRGFDojKcJxud/s8lwodRqZWGhhfKGFzkiKZ/YGKXaYaA8ncVpMfGVJEVarlUQiMSD3ybQntxglPj6rgEumeoZFxPTE8rA/zjN71BmZX1jgO+qk+Jq6MH9Z10lHL6E7dYyTqxf4+lmyD1RBLCxMxWxRkknmVth463CYDY2RYSXGuyIpfrWqXZuJet4kF1fPL9Rs3AeyoNXDaDSytMbBoio7b9aG+M/WbpqDSf66rovHd/bwyXnFfHFBIZ+e6+ONQyGe2xfgUFeCVw+GePVgiHE+MxdPL+LkUZJ2H+vnW+mJmdgXvR3XscJIWF4CWjfe+0Fq349kex555JHH+w0hpg30DI7H45rQ5HK5+j1Dk8mk1hWrdyDJBdH5MpSOTrFtSZL6FW0B2lzrTJiNEmdM8LC00sTu9hhP7gqwui7M1uYoW5ujVLhMLBvloDsmYzVKTCtzkIip3TPl9iTnT3Lz9J4Af1vXyfwaD3HdMYtCyUOdEf6wqoUtzdG0cTNFdiNXzC7k7HE2nE4n8XicrkSKlAJem5HfnFvGrk5YXdvN5qYIgZjMyoM9rDzYAzQx1mdmyWgPM4tNzBvlxYisnX9RoLC9Jco/N3Zp3NtnN/LxmQWcNcFFrT/B119opi2cwmkx8IUFXp7aHeBAZxyDBJ+c42VZjZ073uliV2uUSFLhro1dPLi9my8s8GmW4dkEVHFtTSaTJhBHkzI/XNnKoa4EXpuBH59RqnW6CCtEh8OhFU387u1Gntqtcju3xcCfL6pIcx061hD35tHwDJNB4volRdz0QjOv14ZYOsrO9paYVmTpMEt8ao4vrRBYe+8A34WkLPOPd1p5ene3JppKwJIaO19ZWozrKBLikDshbJZkTh3nYsVYp9ZJLpLk+qQ4wOO7Aqytj3DHOeU4rUaqPGZuP7ucf2/t5tEd3Ty7N8j21hg3Ly9mjNeiifd67nj4kLrGG1Vg1niXsHE1m83aXFODwaDxymOJkUomD5WvHw3e7473PPLII4/3A0NxUNOP3tAnegGml5hxWgyE4jL/2dozYJJSYDjPS70LkNlsztmFng25iuwkSeKGJUXc8Fwz9T1J7lrfxQ0nmbLygEz3HX23vNCbQNUWrFYrwWBQa9AQzpWg6rz6DnSn06l1mMuyrBVYik51i8Widc3rE/xWq7Ufrxfd5CtGWVlUUckjO7p5fFdAS4oD3LW2jdagl2sXFZNKquc/8zyGEyo/7IqmGO01c9NJhbicDu0YBUeEoSceY7EYBoMBs9mMxWLRXD0zCyyGArNR4rPzfCyssnPH6naag0m++VILl0/38LFZ3qza4xifhe+cUcl3XqznpQNBKj0mLptekPaa8YUWvnZSMZ+Z6+O5vQGe26u6dN69yc/927o5Y5yLi6a40yzTvTYjPzq9lJteVItMf/xGKz88PX1saua1Gu21cMc55fxpbScrD4W4e0MnO1pi3HxKOWN8ndy72c8zewLUdSf41snFuLMk5AeC0SBx/lQfy6stPL8vwEPbu2kKJrn97TYe3dnDlbM8LKqyD9g4NdAaM9ezQmjPiURC0+H1vE5sT7zfbDaTTCbT3Lz0a9NjgZHQKoFjZlOfCeHk9v8T8h3jeeRxAuPgwYOEw2EUReFXq9p5ozaMx2rgN+dWUOYypYmNBouN21fWs/JQX4eIBFw6w8szu/zEUvC9U0tYWO1AVhTu2eTnsZ2qneY5E1xcu6gQo0HKWrl004tN7G7re3AbJJAV9f8XTnbzidleOiMp7nynk52tKiGcW2Hn+iWFbGmOcueaDqo9Jv58YSX3bPLz6M4elo1y8O1Tss9r9vfOEQd45BMTcBjURPYnHj5CV1Sm1Gnkn5dUa8ffHozz6SeaALUb5b+X1+By2IjFYjQGEtzwbBPRpMLV831cNrNQI6KKoqRV4wmymkwmNQE5Go1q8wvvWd/CfZu6OGeCi5tPq9ZEku+8WMe79RFKnUb+c8V4bSaQILm5xLLNLXF++rpahSgg5n8fa0io10uS1H9LUv/tOMwGrEYwGsAgSRgNEkZJFQuNBjBJEklZpjGQ0rqSC6wGppdaKLCZsBglrEZJ/b9JwmaUsJolHCYDdrMBW++/3TYTXqeNVDyidUh951V1/vnSGju3ZrHXHwztoSR/Wd/JO70zzstdJr60qFCzidRjsHk5mWTdbrfz4h4/v3yzmfE+C7+7oFI9pzqrSD3EAmR7a5RfvtVOZySFzSTx5cVFnDq2v0PCQEkDo9GoLYb0dlmJlMLLB4I8sK1bs5Ct9pi4ao6PMyerIxd2tER4Yns7b9WGNFtNh9nAGRPcnD/Jw/hiu7aosFgsyLJMMpnst4CK985GPRbC3UhYXgq8HwKmyWRi7Nix2jPheMaJzqlO9OPPI49MxONx9u3bN2BHrZ4TCTvxzOeo0+nUigmHsvB+Lx2d+jncA1XVZ8bt1lCSZ/cEeGF/MG20TanTyK8vGE2lp0+QDMZSfOEpdczJl5aWcd74PmH21QNB7t/Wrc0SBJVDTS+z86WlZYxyqbafBoNBs7x8cGeI+za2c8poB99aUaYJl7IC25uCrK0LsrExwp62aFpho8MsMafCwdxyK/Mr7UhmK39Z08S79ep+2kySOqpmbilSKs6qIyHuWNVBLKVQ5TZx6XQP92zyE4jJFNiMfPPkEmaVWbW5ldvruvj16g4O97rOmA3w6BU1aQJUru4Fh8NBTzDET95oY11DBKdZ4mdnlTPOl90hyG6386NX6ni9d01S7DDypwsqj6oreijQj8Z5r/jbug6e2hPU1joAK8Y4+Nw834B2l5kiryyr7gKP7+pJszafX2nnltOrcRhTad+fXPPkc2EgYTnb38IJmXUNEVbXRXj3SCitAFcCThvr4MNTCxjrU92MVh3s4jer2/FHZSxGiS8tLeOscfZ+jgZ/WNPCkzu7uXymj2uXlmvbFTaOmRaqoustHo8fE/egkerseb+25Xa7qampOa67xSHPqSB/DvLIIxMdHR00NTXl/LvedUhoAJnP0T++28Hz+4IYJXj0YzWY3udnoYhNeheTbBiskHRzU4TvvtqKAnzn1DJOm+jLyp/0upMoDhNFhNlmgwuXIv3+CU1DNO0YjUatk1qvVYokeTgc1ri3fjtiX0Tzh8lk0vZNf6ytoST/2tTFG7Xp8W5BpY1vn1KKzWzopw1taIzww5WtuK0G7jinglKXypdyrQGGO79aFMwajcb37BITisv8ZV2npptPKLTw9WXF1BSoyWvBm0VH8tN7evjrOrUI8JZTSjhpVG6b6nhK4fVDIZ7a3aNZtwMsrLJz8RQ3s8v71jUHOuN86+VmIgmF5aMcfOPkYs3dMpdmpigKKw/H+MOaVuIphWKHkVtPqyAQV/jpykaiSYUKt4nbTitltNeq2e/rkcsNQX/PRxIyT+8J8OiObkIJ9bWTiy18ao6PWeXpBSz6YmYxDiBzfahfXwhHKlHQkflZwuVBjN7UF+oaDAat4FJA6KXHip+NpF6Z6cx2LFBZWUlhYeHgL/yAkbdSz4E82cwjjz4kEgmam5u1h3I0KfOVpw6zrz3KuEIrv794DEpCnfG2v6WHn73VTm1XH7nw2YzccnoVUwsl7t7o59Gd3UwssvDzD5Xx2zUdvNVrufLJOV4un+7RArSePEUSMvdvVUUd8SAa5zPzvdNKuXujn9drVTLhskhEkwpJWU1Mf26+j7MnuJAkiW+91Mz21pi2naufaKAllOJbJxezfHT/JCHAm7Uhfvl2O+N8Fn53fgUGg4GNDSG+86o6P/ymU8o4e6JarRdLwScf3E9nRA3ivzmvitnVHiKRCGaLlRufPsLO1ghzKhz84twqTL1Ja0EoxfmVZRmbzUYymdRs1QU5EJ00D27p4G9r2zhjvJuvLlWDjc1m48anatneGmNUgYm/XTIaRVG0Th+9fZR4nNtsNs2ic1tLlB+91qTNisyjP6Te/+hN6kNfgh9UZx+9wGc1qvehyShlTfBbjEYMyJgM6mvMBgmLUS1KMBsNOK0mDIqcluBPAX/pJcS3rSimwm3GbpZwmg14nDatKjcejyMrCo/t6ObujZ3IitpF84Ozaiix5k4gZC4SByJ4RqNRI4axlMKTO7r47+Z2Ar330IRCC1fN8TKvwobNZqM7kuT53V08vy9AY6CPeE0rsXLuJBfLRjmxGKV+c30E9NaouTDUTvCRsryEY2/ZbjabGTNmzP9EUhzynOpEP/488shEMBikra2t33NR/7OwbxQFfqCKGfquDdG1MtRn+XDFr6NBroRVNCnz2sEQ/9zYRbSXKEjA4hoHF012M6vchsPh4Omdnfzm7RYcZgN//nAND2/z88r+Hu09oCamz5jg4QuLS3BZTJrVvCRJhEIh7Tzd9EIzO1sj3LCkkEvnVBAMBjVXJ4vFonXNxDCzqSnCO4cDrKsP0h3NHkMNEnxovIvPLSrDY1Fj2/1b/dyzoR2AuRU2ppQ6eGCL6gA1qcjCt08pocxt0URP/fnZ1hzht2s6OHWsk6vm9LfZy5YclxWFO9/p4tUDASxGiR+dUcr0HO45sizzvZVtbGpS748aj4k7z6sY1uzsocJkMmn35LFAU++IIOHy4zRLfOuUEuZWDNzprD9nsizz8I4eHtrekzbSaFaZla+dVEyxc+COeXFMWpd+r+id+X0bjHdlG4NgMBj6ZpI3RPjvlr6ZkgJVHjOnji9gWY2dEreFn69sYEOjuu0lNXa+eVo1FiWhPTduW9nGxoYwN68oZ0VNHz8ym83aPa/fdyHsm83mtPmpmRgqrxzJxPixtr30eDxUV1cf90lxyHMqyJ+DPPLQQ1EU2tra+iW29H8XFsiiuzkcDmvJrkQigdlspisc56P31wLw2XleLp1WkPXzBEYqaTWUhNW/twV5YEsHLouBP5xfQbHTlDaiEdCcKMWYnlgshs1m086JnoOLv4GaPLfb7WnnDtQ4JD5PlmXt88UYOdF1K+KuJEkYDIa08UjC8l3EYvF+kYgXdtV7OxP8aU0Lu1r7YniFy8Qvzy6jrMDRj9tvbopgNxuYXNzHBXKNtzuatcGxjvdvHw7xx3c7CcRV3e8z87x8ZFYJim5kpcBf13Xy9J4AVqPEz88qY2LRwHqQoihsaY7y5O4A6xr6eMMYr5mLpng4dayqv21uivD9la0kZbXh7AsLfGlW+dlgs9nY1dTDz99soyGQVK3V53iZW2HjJ2+00RJK4TBL3Ly8hIVVdm2kDfQVhGTymVzrumAsxaM7e3h6T0BbE80pt3HVHC9zR/n6uXsJCM4pcgyioUiW5bSClGw8XiTNjUZj2mudTiehUKjffeBwOLT160Df2aHyypEY+yhwrLXRqqqq495CXSCfGM+BPNnMIw8VsiyzZ8+efgSiLZTkq8834Y/KLBvl4FsnF/NOfYTfrG4nnOh7VMwut3HTsmJ8dtVypCuS4uonGoilFEYXmDjcncQowVeWFnF6r42igCBgq+vC/G19l2ZJbTdJRJIKJQ4jd19aDcCL+wP8ZW2n1gnhsxn43mml2ty9lmCSzz3RgAT885IqOiMpvv5CMzaTxL8vq8aWQyT73TsdvLQ/yEdm+PjMHPVZ8JVnmzjQFcdmknjwozWYjAZSssxPXm/h3QY1YI7zWbjr8vFqN3Q8zsPbu7lrXRsOs4G/XjKKKq9dI32JREKzdBKd4cL6UbxGEIhkMomiKDyzp4c/vdvBSaMc3KLrdv/Kc00c6IwzpdjKr84px2KxaARUWEZJkkRjIMXbh4NsqO/hQGeSYHxoyXCrEWaVWqj2GHnjSFzrEDYbJKaWWJhaYsFqNBJLycSTCge74mzpnQtf7TFR4TKRkBUSKYWUos5RTMnQHUvRGZGRQCt8cFkkDEikUFAUtVsmJStp3S7Ql6wW7zthAtVRQtL/P0uC3yBJSJLo6pcwoP7bIA3cwW8yqD+bTEZaAnEae5KIS1VkNzCrzEaN14LdbMQkybSGZLa1RNjbEdc6odxWA2eO93DOeDtVBZY0sikqZlOplDZTUl/tLCDcFgZbrIykgAnHdvHsdrux2+1aYYL+PyFqioTS8YATnVOd6MefRx56BAIBDh8+PKTXZs4IzgYhWAzl+ToSAsNAsSUpK1zxUB3RpMK0UpvmbAQwvsjKhZNcLBvl4KvPN1Hf019QKXebuWpeMedMKtDinNPpTCsWiMfjJBIJoimJjz5Qi6yovHd0sVsTgEUSXSTS9a4msqKwszXKf7Z2s70l1o9TWY0SM8tszK9xsbEhzLp6NaF4wWQP7eEU79SpP58z0cX1y8pReq0uxXkZSuwV8T7zdYqi8PcNXTy1O4BBgu+uUN2nskGWZb72Qos2o3p6mZ2fnVH8viT+jiWfSKQUHt3ZzUPbe4inFIwSpBSVn/3qnPI0kXegfXlyVw//3uLXXJUAphRb+OapFQzBIXZI24ChCWl60XOgc7W+IcyP32jTbN71qHSrYwiSvSOUUgoUOYzcclolUwrVAs6P/mc/nZEUvz6nnNnVBdraB1SLfjFXVOyL4JDimSAKkpPJpCaSCzFVWN8OhJEsuDyWRT6SJFFYWIjZbO7HK4VlvbDTHci6dKSQ51T5c5BHHnrU19fj9/uH9NpcXaQC1z7VQF1PUnOFHAgj9cwfyvM+pUjc9EIj+zrizCi18rOzKrBZLZr2l8l99dbnIrktEotOpzPt/CQSCS2e6jm56HgXXeHiNQNxvUwuKPieSL6L+Cs6f0UMlmWZaCzGu01J/riqGX9vE4bZAN9cUc6SqoG5kSgQyHYehVX8cLtlj/X17wgn+e2aDq2Yc26Fja8sLaI4wyEoJSv88PVWNjRG8dmM3HFuOSWDFDoKNPQkeGp3gFcOBLWCyQKrgXMnuTl/kputLVFuf1stdv3kHC8fnVEwYGGG0LfCCZk/vtuhdfYvrLJz9Xwfv3+ng+2tMSTgM/O8XDLV049HiHtHrOMG49RdkRSP7Q7x9K4ujS8uqbHzidlexnizu0fpkTlHPNvfs411EklvsY6IRqNaQ5I4Py6XS3tNNBrVuJT+mSPuc1mWB3Q7G8mkOBzbtYzVasXj8aRxSf2/xXf6eCnGzCfGcyBPNvPIQxWV6uvrCQQCWR/KO1uj3PJKC0kZppda2dHaV0UlAVfOLuDy6QVp8+8cDgc/f7WOlw6oFZ12E9y6opQ5WTog2mMSv1/VrHUHlLlMXLPAxyF/gns3+wH4/fkVbGmOcu9mdZa40QCyrCZHPVYDV8/3cdpYJw9s6+Y/W7uZXW7jJ2eWcdeGTp7YFWDFGCc3Ly/WtqlPKgF87okGWoJJvndaKUtGuaj3R/j8k6pN06XTCvjy8kri8Th/X6vOPBG49//Ga/NbdjR087UXmkjKcNPJZZwxzqnZpOsrLfX2l+Jcia5Zm81GKBTSiOrTO9q5c00HCyrtfP/0Prvvzz/ZQFMgyaIaJ7etKEaWZQ50JXinLszOthi1XTECR6GjfHtFGctq0pW0lKyw6kiYx3cH2deuXiODBMtHObh0moeOSIqfvNGGrPRVHeYSVGJJmU88Wk8koTC3wsampigrxrm5+SS1Gz4cl7l7UxfP71Pvm0K7kWsWFg5oH5QJfRVgJJ4ikoJwPEU0qRBOyLywL8ibh8O4LAYum+5GliUtwR9LKSRkhVhSJiFDsvfnaFKmJZiiq7e7SkJN7tqMICMhK2oBgCKTluBX/69+pxTUn5XeH/IJfvU8PnXlKG2+q+hSyhRWRSdTIpHQBE5B6PQ2vNkw0onxkSS3QsgcO3ZsWqX4B4UTnVOd6MefRx4CsViMI0eODMtmeiBBRl80OBiGWp3/XpHNdUXEoh2tUb75Ugseq4FHr5rI/pYAT+3u4bWDIU2g0hf6iZ/nVNi5fnkFY3xWrcNCdPKIf4v46HQ6SSQSrDkS5HuvNFHpNvG3i6u0fRHJc8E/RQxNpVIkZYUX9wW5f5sffy+vmVxiY1GVjZZAkg1NEa1IVY9JxTbaQnG6IjJmA1y/tIQzxjnTuoszk6MDCdO5ROAHtvn595ZuAL5+UpE2lzwT8aTMdc800dRrO7+42s53Ty095mNNMsW894qtzVH+tLZDK4qYU27j2kWF3L+1m9drQ4zxmvnteRVZ508KrDwc46/vtqYVvI4vNPO1k4oZ7bUMqUhP39WVCTHWRojIQ+VSwq5S2IHmQjAu840XmzjSrb7G2Fu0qXdjKnYYiSZlgr1zyq+cU8hls4q55N69ADx8xSg89r65pnphUz8HEtA6BUUhs5gdKkmSxp/E/MjB7p2RtLwcySS8SEy43W6qqqo+8OR4nlPlz0EeeYBa1NTZ2UlbW9uQk5qDJZnfrIvxyzeaAbjr4krK3eacrx0pLSHzeZ+LF3fEjXzxsUNEk4qW1My0Qoe+4kNAcxlMpVJanNYnBQ0GQ5o9uv5z9BbpoivfZrNpLpe5MFjRq/7vgrvrk+ddgRD/2tjFM3uDGl9eWO3gSwt9WRPEg40K1DtTDQfHOuaL4r2HNrdw90ZV23ZZDHx5cWE/d9NwXOYbLzVT608wxmvml2eX4zAPPckYjKV4cX+QZ/aoc8gBTAY4ZYyTAquRx3epuvaNS4u4YHrxgHxDfA8UReGFfUH+tl5tVitxGrnppGJeOxTixf2qhnvGOCfXLS7CYkzPD+jv0aGs10wmE62hJP/d4uelfd3IvQWkK8Y4uXJ2ARUDfG/F2EZFUbBarVmT5MKlUqyRxL0t+KP+fhFjvYQTEvQ5nAknWDF+QOQAso1yyMRIckoYWW1UzGGvrq6moGBgZ46RwHA41dBKUPLII4//ecRiMTo7O+nq6howKE0rtfHpuT7u2tCVlhQvtBu5eXkxM8vSE6kGg4GtdV2sbeh74F69sLhfUjyeUnh4ezeP7OghISuYDHD59AIum+7BajJgMfUJHLe+0qJZf88pt3HDkiK6oil+/04Htf4Ed6zu4LWDQc22+YxxTmRF4e1e+/blo9XEqrCWFNVLkiTR1BOnJah2tM8otWK1Wrlnk5oUN0jw0eluwuEwL+4LpCXFp5VYKTQniUSSyBj4zZpOkjIsH+PmQxPc2naEKCksWjIDUTwe12z+YrFY+pyTXjIRT/VdH1mWCcRUYrOnNcoVDx4mOMxYajHAlBIL50z0EJElfr+6DYBfvNnCL86tYVaZVes2spvNnDnJyiljnGxuivDozh42NUV583CYNw+HNXH39LFOPj9AUhzAajKwfJSDlw+EsJnU1711KMCn5vo41BHhT2s7NTH27AkuPjPPh2sY8yEFcReLCLvFiB31XgVoDSZ5p3d25nWLCzk5h7W+Huvqw/xpXaeWFD95tIPPz8899zEbhlIBbDKZNIspgd1tMW56sRmbAe75v3H4gxFkg4WecJQ3akO8tD9ISlGLQ04e5cDnshJPykSSKaLxVL8Ef1oHvwIpWSIhy8i9Pw+W4NeS+frEfu8/jiYVbDKoZFCI6nqiCX0VmmLRZLGoFdGiM2iwpPhIY6SJbSqlzgs9dOjQcZMczyOPPE5MKIpCMBiks7OTQCAwrPfqE1jZIKyRhVghy7I6RiQLdxWuOe83RKwWAoh+rqKwxZ5dbiMWjTKu2MGVsyUCsRSr6yJqXM34vJoCMz84vQSDlNK6coTgIsTKaDSquaUIK/VNjWrMnFPRx8XF68V4FFHBn0wmWVMX4Z5NXRpfrnSb+NRcL8tHuzRxKJlM8vqhEH9a25nWiby3vU9QGuOz0BVO0BiGUaa+OCzmWCqKonUJiQJQRVE0kTZTeBV4bm9AS4p/YYEvZ1I8GJe59qkGjZudNd7JDUuL067NscCxFJD80RT/2NClzZj02gx8fn4hp4xxIEkSn1/gY2NThFp/gsd29vDRGf1FpDcOhfjb+k66deOQRheYufGkojSbzaGIcRaLRROtxOxPQEuIK4qCxWLpZ02eC1arVSu+GAwui4E/XVjFn9d28OzeoNYtf/pYJ9GkwvrGCO0ZxRn/2dzJygPqOqzEYVRHGPW6IuiPU7hoRSKRtMSCEDxBLbIRDhT6DrKhOPCMJO8cyS4b8TwVHZnHQ3I8jzzyOHGRSqXw+/10dnYOm9fpZ1lnwxnjXPzmbYlESuHf2wLcelrFiHDHgSA6moUzUK5irQqXkWsXFvKbNR38e4ufWWU2pvQaSwpbdZGAzLR/1scvESf1HeGioFGfpBfcU8BkMhGNRgeNhULbyoVEIqHFXtEYIZLikiRhMxn44qIizp3i5VsvNtETS7GuPsznG8N8bHYRF092YDMZtM7ggbqdRWHA0WAofGqoENbzkUiECyd7mFNu59er2tnfGefnb7VzWn2EaxYW4uzVPx0WA7edVsrXnm+i1p/g9rfb+c6KkrSGtIHgshr5yPQCPjzVw5q6ME/sCrC7PcZrB1UeWuww0h5O8bt3OvA5zMyvyN2Rr58jf+4kN5OKrfz8rTaaAklufbWFzy0o5osLzPx9QxevHgxR35Pgx2ePwmNRz6F+XNZQXB9F4WJhMsmXF3m5eLKT/2zx8/aRMK/XhnjrcIgPTXBxxcyCft32oHJZsb9iW6IARFEUzbFVf4+KLufM+0V8LwR3FBDfH5F01zslCE1wsO/JUN3QjhWO9XzxgSCOva6uDuC4SI4PFfnEeB55nABobm6mvb19SK/d1RbjsZ3dab+bUWbn2ycXUWDrLyCsbwjz0zdaiSYVPFYDPTGZl/cFOHu8UxPr1tWH+cOaFhp71CAwt8LGNQsLte5rUDtyBXpiMlYjfH5BoTZLvNRl4rfnVfDYzh7u3+pnc7NKGk0GWFRlZ097jPawOu9kfqVdC4x6oudwONi8VxVZJhdbsZsNdAUjvFOnCo3zK+0UeRxsagzzp7Wdacf5tZOKtH/ft8XPoa4YXpuB65cWaxbpkUgkLVkmCK8glKAGDBGgMi1fxNk93J3gK8820hRMplnYd8eGLs5UOA0sGeXk8jkllLutadWZ1QU13PJCHSkFVh/yM7WwMI0kC8ypsDOnws7Bzjj/2tTFhqaoJu4e7IrxZm2Y5aMdA3a5nDbWxcsHQmxtjjKv0sbGxii3vtREU0A9RxVuE9cvLmJW+fA9IDPnWmbinxu7iKcUZpRaWT5IF3pHOMnf1nex6oj6WaVOI19aVMSCqoHnPmbDUIQ24SygTwxPLLJo36Ha9hCzK50Eowke3BLkjVqV0C6psfO1ZSV4HdYhEf5jKfJmm33YGEjwny1+3qwNo6AWl/zxgkpqCsxgtBCMxfGH4sRlCYfVrCVE9O4KojBEiHTC9lHYq4vvh8ViGXT24kh0DgoIe7KRRiKR4NChQ0yYMOG4sVXPI488ThzIsszBgwePurNRluVBC4uyVfrrrdoERsqxQ1GUfh3RwuFkc1NfYnxbc4S7N7ekJZUBiuxG7BYj9d1q3D7SneDapxr55Fwvy8d40o5VFFlmCjWJRIKNjWo8n1vRx2n03bNWqxWTycS6Qx38c6Of3e0qVy6wGvj4LC9nT3RhMqgikOhIX3koxO/f6SAhq0nXMT6zZptoMUrEUwr7OuLs64hz9yY/RQ4jC6udzCmzMLfSjkVnQSgS5MLNJ5VK5eQqb9aG+HMv175iZgEXTclezd8eSnLdM42Eevnw5dM9fGpu33y7wbjgcCBst9+LnbWsKLy0P8jdm/yE4uo4ofMmubhqTnrxZ4HNyNXzfdyxuoP7t/pZNsqhrYvW1IX489oubbQRqEUNX1lSxPSy7HxZL2JmQt8BFo1GsVgsJBLqHG9JkjSxb7BzKNY0sVjsqJIK1y4qYn6lnZ+92UZChtcOhZhXYeNfl1aysSnGqsNh1jdGiPc6LYiCjure86IoiiZwisIL/ZpKHIf4nopjFTNRRXe7eG4M9vwQhdUjhQ/KyNHv9yNJElVVVR/I9vPII48TG6FQiMOHDx/183Yoyaj5FTbeqY+w+nBQi19iHrmeVx6rcRaDQSRNTSaT5i6ZLQbE43HOnVrIhsYIbx4O86tV7fz9snHYTX0uMJnxODOem81mrXAs03FF6JF6iNeIArqhOORFIhFtDFAuiE7eRCKRVgQgGowARnmM3P/xCdz8TC0722IkZbhvUwfP7fHzuQUlLK9RMAxQxCV4wntBJBI5Jg0ZYsZ6KpVClmVqCszcfnY5D2zr5uEd3aw8FGJ7a5SvndTXfFbqNPHdU0v59sstrGuI8I+NXXxhQeGwtms0SCwf7WT5aCd72mM8tbuHtw+HtQJEWYEfrmzmB6dld3gVEKNBFUVhfKGF355bwe/e6WDVkTB/XdvO0ho7t51ewa/eamFPe5xrHz/Ed1aUMKnErlnwD6bd2Ww2rchSf8/WFJj51ikl7O+Icd8WPxsao7ywL8hrB0OcP8nNZdM9/XITmd9dWZb7bd/hcGguR+LvYn2ZSqW0/IXQI0UHutg34bwgEu6Z37XBnh8jXYA4Us+zTNTV1WEwGHC73R/I9oeLvJV6Hnn8f454PM6+ffsGJQjqjOsAf1/fRSYlLXeZ+O15lbgs6Q/yl/YH+MO7nciKKgheu7CQG55rIp5S+NEZpVR71Cqy1b3JxkK7kS8s8LFslCMtKDT0JPj1qnb2dvQ9uOdW2PjRGWVZ97WhJ8G3X26mM6Lu6YRCC5UeE2/WhjltrJOvLyvWyJawM4/H40iSxC/eauPN2hAfm1nAlbO93Le5iwe3q8nyuy8fi6LA9U8d1sQsBZhVZuU3F40FYG1tF7e83IICfPfUEhZXO3A4HFqiT08G9SKN3k7dbrfT0R1ibUOEzc1R9rZHaQ2p9t9HC6fFwPQyO2eOc7KkyordbkeWZc1WRm9fE4lE2N8Z4+0jMT49Z/BnYV13gm++1ExPTKbYYSQQSyFy9CVOIx+e6uGs8S7sWax+ZEXhc0800BZKsaTarnVwGyS4dJqHj80swJpjFvxQIYiLXgzc2qyOBDBIcOd5FYz1Ze+uTcmqPdC/NncRTigYJPjwVA8fn1WQc0b9YBiOqJppK/SrVR28fijIZdM9nDXJy49ea6KuO4FRgk/P9fHhqW6tYyazAlB01wlkWgK9V4iFY+biyW63c6A9wj0bOwjGkvz8rArNXshms2mLK9EpLoowhItDMpnUqnv1FaXZZgANJtoey/mMg2GkbdszUVJSQllZ9mfkSOBE51Qn+vHnceKio6ODpqam9/QZ2QqthvK3Dwr6RL7dbicajaq82mTl4n/tJaWA2yIRiPfxOKMEi0e5uG5pGYVWhVQqxZ72GH9c28nBzr44VeYycf4kN2dNcOGyGLRROyLGi5jWEUnxqUfrkYDHPzkRk6z+XvBpRVFojUj8fW0La3oLPq1GiUumebh0qgdHpiOPZOBfm7p4eLsfgAVVDoKxJLvb1c/9xNwiPjmvmENtAba2JlhXH2JLU0SzhweVy00psTKvwsbCahdjvcYBBUuBDY0RfvR6K0lZTRp/ZVl51kKJuu44Nz7XrG3z6nk+Pjyt//M2c2TSe4Xdbk/rbhoqDnbF+eO7HezpPYfjfRa+tLgw5wxxRVG47bVWNjVFmVFq5fLpHv64tpPWUJ8YW+Yycd2iQuZVDl6omS0xrucqTqczbT0y0PvEe/XQFzG+F/ijSb7+Qgstvbb4BTYDvzq7nAq3mUhCZktbihf3+llfH2ZGmZXPLihhdpVb45VihqOweRXOQkKEFYUliqJoIrzg2/r18EAjHcTnjWQB5LEeCzBcjB8/Pq1TcCSR51T5c5DHiQlFUaitrc0am4aDgbijzWZjf0sP1zytctdvLC/mlDGDOwm+n9DHZv2/sx2H3W6nIxDm+meaaAkmOHOChxuXqAWCQvvQJ78zLc1tNptW0K8vDjObzZpeKKzXM/dhOHqHfl6zJElacaQYdyIS+aIrXbi4AFoBm3BJSskKzx+I4DHL/Gtzt8YXJhZauHqBj+mluZtq9MV/R4tjuRYRBa/687irLcYdq9ppCiaRgEumerhqjhdzr4Po24dD/PwttbHt2oWFnD/5vSUY20NJntkb4Pm9Aa3QFOD0sQ4+PttLuSu7TXnm9VcUhRcORvjru20kZSh3m/nM3ALu2+ynvieJ1Shx40lFnDWluN/5Ew4H+s8a6jne3hrl3k1+drapHMlulvjwFA+XZKxvsl038d2QJEkrnBRaOZCmRwrNUmieFouFYDCI0+nUeGWu78ZQONxI6ocjNW4sF6xWKxMmTPjA3IjyM8ZzIE828zjRoCgKBw8eHDTgRJMyv1vTzpuH+15X5DBy/eJC/ryui5ZgknlVDr63ohhjb6fJf7d2c/82tbP8zPFurlvkw2yU+Ou6Tp7eE6DUaaQnJhNNqsnGi6a4+fgsb9qclJSs8PSegDZLXEAkpH97bjkTivqLSfGUwlWP1BFKKNhMUlpC+VsnF7N8tDMt6IiO7nAkwlWPNtAdTfHzs8qYWmzlYw/XEU4ojCow87MPlfG1F5ppCSbx2QyaZeP9Hx+P25AkHJe54flmmgMJzhrv4oalahe5sB4UFZvCEkmIKcGExMp9HWxujnKoK0F7OJV2vEcDg6R2jywb4+bc8Q6KM2bvZAu6QmwVVXKZXeLZkoqtwSTfeKmZ9nCKiYUWfvKhMlKywsuHYjy2vUObV+myGDh/kosLJnvw2dOr9/60toPn9gbTfnfWBBdfWVp8TLsjROVeJBrjhueaOOxPcP4kN9cuyl5leagrzh90AuakIgtfXlLEuBxJ9KFguGQnk7ytaojzs5VNFDuMBOPq96fYYeS2M6sZ58ltR/RBzVntR5YNJiQ53aIys9pW75QgFknJZDJtBlbmvZhtllY2jCQB/KAT4waDgUmTJmnV3CONE51TnejHn8eJiUQiwZ49e47JZ+UqZPqgk0O5oN9fi8VCc3eUn73Rwq729GPwWA18eHohH55kx5KlwM5stfPphw7QFEhgMUK8N0TaTBJnjHNx0RQ3E8o8mu216AR+eV8Pv3ijiYlFFv522YQ0ETmYlPjP5i6e3aPO5DNI8KHxLj4+q4CiLJaD4bjMr9d08m6d+hmnjXWyqTGCPybjMEt8/aRiFtekJ0UtFguBcJQdrTE2NEbY2BSlrjs9aei1GZlf5WBOuYUFVU689v7WmrvbYtz6SguxlMLJox3ctKwYs8nYz15wV1uUb7/cQlJW1wVfG2D+OLw/MVl0WA/GKyIJmf9s9fPU7gCyogp2n5jt5YJJ7kEtMJuDCa59spFEBh0utBu5dpGPFeN9wyr4y+zsyiZwC5FaL05nJoDf7wIVWZb5zZoOVh7qtbyU4KvLSjl7UoF2vDHZQCqZ1ETPgTri9fxRJMItFovmSqS/PywWdVb5YImYkZz5DR/8s8/tdjN69OgPZNt5TpU/B3mcmGhvb6e5ufk9f85AhU7i+f/px+ppD6cY6zXz+wsq3/M23wsyC6/EPgrul6mRmUwmtjUF+eZLLcgKfF3HiURDguhuzRxXZzQatU5YMQtZOK4oiqK55ejjj91uJx6PD8mxL/MY9MhVkJer8MzlchGPxzVrbIPBQCgS49HtnTy0vYdwQuVjy0Y5+My83AndYxG/j3VMNhqNaeczkpD5+4YuXuqd1T3Ga+bry4q1hp6Htndz72Y/Bgm+d1op84dQIDkYUpKJZ3Z2cs+mLnpPJRKqK+XFUzxML7WmJTJzccF9HTF+/lY7LcEkJgN8dkEJG+uDrO8d+XTFzAI+PqsgrVj2vfJKRVHY2KQmyA90qTzRYzVw2XQP509yYzUZ+l13/Vxw6H+PZtsn8R0U2xT3gXAgElq6/h4WjXKD8cqR1A8HK/4cCVRVVeHz+QZ/4fuAfGI8B/JkM48TDa2trbS2tg74moaeBD96vZX6nr6H5uJqOzcuLcJtNVLbFeemF5uJJhUunOzms/N8/OHdDl7tnVXyfzMKuHpxmUYaVh8J8dM3+2zbp5ZY+dKiwn4duw09Ce5c06FVfc0pt3GwK0ZPTGFBpY31jVEWVtn53mml/fb5rcMhfvFWOyUOI786p5xfvd3Ott556OVOI9cvLWJ+tVsLBGLm4a7mAF96sg6bSeL+y2tYfSTE7as6ALh1RRmP7fSzqy1GqcNAR0Qmpaid6z89q5JUKsWda9p5+UCIMqeR359fqQk1IuDabDZq2wOsqg2xsz3BgY4onZEkyWOUp7MaYWaZjbMmuFhSbcdgMOQkGLmInL6SVFi9i/nisVgsTSDzR1N848VmGgNJagrM/PxDZWmWNUazlWd3tvPYzh7N7tBsgDPGu7hkqodyl4mndge4b0tf4cPyUQ7ePhLGaTHwwMfGI6WObUezzWbj8e2d/GFNKx6rkb9eVIHbmp6ojyZlHtjWzeM7e0j1CpifmuPj3ImuIc/wyYXhdixnXr+wYuaj/9mv/Ty3wsZNy4op97m07qVMQiVcAYxG4/suqAkCKLpzsgmposJS2A8JK0thWSTuO3Ef6vdZnD9R1alfuA3WtTMUm69jiQ86MQ5QVFRERUXFB7LtE51TnejHn8eJh1QqxeHDh4/Zc2+gZ+jx2DUu9ndtfZh/bfZz2J8ek8b5zHx6ro/Foz1YLJac4ojBYGBtXYjvr2zFKMFV84tZub877fMWVtm5fHYxM4pVez+j0cgv3mjm5X3dfHxOkWYl3hOO8cSuHh7d2aMViS6udvCFxaWU2bPHw+ZAgh++3saR7gQWo8SyUQ7erA2RUmC018x3Ti2jwjW0MR3+uIF3DnezvjHCluYokUR6kevEYhuLapzMLjUzqchCfU+Cb77UQjAuM7fCxm2nlmrdMaJzKZVS50r+6I02Lcl/26mlQxptc6x5gMlkwmq1auKxSCYLKIrCmroIf1vfqVlULh/l4OoFvqwzEDOxryPGb1d3cFhXYOC2GvjCfHXe+tGIWtncdsS+ilnvYiSBxWJJG7Wkf4/ovH4/eY7ZbOaVvX7uWN2OqBdeNsrON5cXay4AYv9TqZTW8Sa6yoQdq0h8D2QpK86LKMgUxz4QRvo5NNId6tkwbty4fk4BI4E8p8qfgzxOPITDYWpra49JUbvgStl0GBFP/rulk39vURt7HvhoTdp4kw8CQvcQGpYYbZI5rs1ms2E0GgmFQty/1c9/tnZjN0v87rwKKtzmfrbfmTqgiGUiSW00GjVnolgshsvlIplM9hvrYzabtY7vZDI5qLV4tpg52IiXTIiYrW/oURQFi8VCY2eQB3cEeW6PH1lRR2p+eKqHj04v6O+KlGN/hoP3gwOIZH8qldJcTVfXBvjdOx10x2RMBvjkHC8fnupBAu5c08ErB0PYzRK3n13OGO/RN/BA3/ntiiS58blmOiLp13R8oYWLp7g5ebQTs1Hqx6tFchigJ5LgF683aC5Vy0Y5KHaaeXKX+h07qcbBV08qwmExatcy13d0OJAVhdVHwvx7i1/LYRTajVwxs4APzyolHs3tdiCKRMQxie+c1WollUpp2qMYkZrpSgp9XC2TXw6Fw40krxxJJ81cMJvNTJw4Mc3VdKSQT4znQJ5s5nEiYShWl6uPhPn1qjbNFtsowWfn+bhoijutUmxDS5LvvdwAQI3HRF1PEoMEX1pUyDkTVVuXsGzkr++0aAlzUDua/3xhBUZD7i5xu0nis/N8nDPRxZefVbt8b1xayO/eUS3af31OeT8Lwh+sbGVdQ4SPzvDwyTk+/ry2g2f3BrEaJc1u8czxTq5dWo6VpEY079/Uyl3rO1lU4+RHZ1bwmUcO0xhI4LJILKx2sfJgAKfFwOwyK6vrIkjAvy6totBh4p26MD9+ow0J+NmHyphRZqO2K86aujC72hPUdsXojqY4mkZwg6TOesn2+3Kngcagulj4y4UVVBekkyExT1JAPzcvM+hmEhuz2UwymexHvu12O23dIW55uZmDXQlKnUZ+eVZ5v650sf1wJMq79REe3dmtdV9LgMMiEeq1FbWbJCJJhS/M9/Ls3iANgSTXLC7lgolHV/korqn+uGOxGP5Iki881UgoLvOlRYVcOqskjcxsaIzwp3c7aOm1qTxplIMvDFHAHAy5KnwHgn7h0hRI8Iu3O9jfof68uMbB98+oxGJW9y0ej2uzWcVMzWQyqSWc4f3tbhECrRBMh3KcDocj670oSGmmiKknsGJBFA6H+xFbSVLnaglxVwid79WGbTg4HhLjkiQxadIkrVBhJHGic6oT/fjzOLFwrKwuBQbrwjgeqtz1iCdlHtge4Lm9PQTj/QXcr55czhmjrWlxYbB4LLjsgiont60oZGtLjCd3B1jX0Bcvx/isXDDJydlTCvnUQ4fojKT4xTlVTCk08sqhMP/e3EVXr6g1scjCZ+f5tDmF2WLU1uYoP3uzjUBcptBuZLTXxKYm9TqsGOPg+iVFFHpcGr/Si9WafbwOaQKPQe1m2tISZ21dkINd6eKQwyyRlFXXp3E+M788u7zfyBqr1crzuzr4zeoOFFTR8+cfKmNKSW7LTD3eS2Jc8BUBkUTWQy8+twST/GVdp3a9ylwmrl1YOKQE/mF/nDtWtXNAd47EWmDZKAffPqUEODoBLZu1ozgvYrSSuL6iEFEIZ3a7PY1LHYsZm4PtayQSoTtp4MtP1GojsoodRn59Tnk/twNhwymsMPUQRZSZFrJ6oVJ0zIniAP1niKJNwScFtxxJXvl+n++hwOl0Mnbs2BHfbp5T5c9BHicWYrEYBw4cOCZJcaFpDRT/HQ4H/p4glz1Yh6zAhZPdfHHh8GY3H2uIeC1iIfTFKaPRqDm8CJc9RVFIpmRueaWFHa0xJhVZ+OXZ5Zh0jR3Z3PP0Go5ogMlm5a7nHJkcVj+eMhey8V7RyCOgt6/OpqPoP0N/fvSvbYpI/HFVM5ub1dd5bQY+MdvLh8b3b3J5L3rNe0liGgwG7VoKZBvR05eoTvG7dzo0TjmzzMpXlxbjsxv57qstbG+NUeo08utzKvq5cw4H+mNqDia4+YUWuqIpfDYDwbisdZH7bEbOn+zi3IlufA6zdt1EE4yiKMTjcQwGA0/s6uZv77aRUqDCZeLsyV7+vamdpAxjfRZ+cs4oPMa+zupjpZ+lZIWVh0L8d6tfG0FU4TZz1dxCTh3rQk4Nvo4UYwaCwWC/vzmdTsLhcJpWns3VUjQBZbv3Ba8UIynFeIGRwAftQiRQWVlJYeHIP2vzifEcyJPNPE4kHDp0KOdiPiUr3LOxi8d3B7TflTiMfPuUEiZlJKGFoPCPDZ08vkt9vcUI3z6llIVVdlKywov7g9y72U+wdy73ijEO3jocJqXAT88sY1a5Kmhl6xK/YUkRpS5V+LjllRa2Nkf5+rIitjRFeeVgqN+s8a5Iik89Vo+swF8urKTCbeJTj9Xjj8rccnIxW1qiPNtr2+2zG7luaRlLqywYjUZue6WZtfUhPjfPx8xyKzc+p9o2zS6zsqUlhlGC76wo5sdvqJ0LC6tsfO+0MjrDCa59upFQQhVrErJCT1TmaB6eBgnMRolUSiHXSHGDBLeeUszCKjtNwSRffEotcHjkipp+IqLL5UqbHQ70m2kuyLA+OArSnI2cSGYrNz9zmJ1tMbw2A788u5xKd/bEmwj4ooNjS3OUP63t1DrIQS2QmFlq5cUDISYWWjhnoovfv9tJkcPIXRdXad1Cw0GuCrg/vNvBC/uCjPWZ+e25Fbic6kKjK5Li7+s7efOweqwlDiPXLCpkcfWx64o4GqInyOnqI2HuXNNOKKFoBR5La+zcuqLPMUHMVVQUReucETZTgoi9n1WIuZLcA8FsNmtdYMLmUkDcg6IKWnRjiWMUtkeis0eW5bS5kpkYafJ3vHQ0+nw+qqqqRny7JzqnOtGPP48TC6lUil27dh2TzxpqrDweio8aeuL8bX0Xm5qiaQWMPruBC6f4uHeT6jr0n8uqKXRa0johBotJjYEEX3q6kaQMt51WyqLehGpbBJ7c1c0Le7u1LnCnxUAoLmOS4KaTi/n35r4uiUqP2qm+tDq9YBDS49TzewP8ZV0nKUW1a0wpEnXdcYwSfG6+jwsnuzWHJYFwOIzZbO7XAS8SeNmEVXHcneEkG5uimu16KKOgYIzXzLxKO/MrbUwrsWE2Sjy2s5t/bvSr588oced55f0KQnPhvcTk4XTqJlIKT+7u4f6t3cRSCiYDfGSah8tnFPTj6JloCiT49ap2bY47qIWjV87yMqvCxo3PNSErcOuKEk4a5dS6ioaDbOdBkqR+RbCgriGi0SipVEpLOGeK6u83rxQivSzL/PiNdtb2isImCW5eXsyy0X1zYMVMSNF5ohcY9R3hwkpWQBQF6Lmy+J0sy4Pa744URtr5KBfGjBmDy5V7bMH7gTynyp+DPE4sdHZ20tjYeEw+a6idkWazma8+U8fOthhui4H7P1pzTLZ/tBDNLSLhLLQWMe87k0eKju/WUJLrn2kklFC0RiE9sjnH6LuwE4mEFm8yk+R2ux2j0Zg1USg4Zq44le06WCwWrZEhmUxq2pUsy9pr9UVh+sJYsa+ZPEjsx7t1If6xoYuGXt1xjNfM1fN9zKlIL1A82lj+XvjPULep1/EURdXV79rQRTSp4DBLXLuwkPmVNm56sYXGQJLJxRZ+emYZ1kH45mDbEjjYFedbLzUTTigsrLIzudjCc3uDdPYW3ZoNcNpYFxdNdTPGa9HOSea9uac9xs/faqMtlMJskLhwipvXDgbxR2W8NiPfPqWY6aW2Qe+ho0EipfDC/gAPbeuhK6ru96gCM1fN8bKk2j7gjGuR6E+lUloxioC4hkLPhHSeph9DJFyLhFaZq+BnJAsgR3ocUC6YTCYmTZo04l3jw+FUH8xgyjzyyON9g6Io+P3+nIG4K5LiJ2+0pokyS2vsfGVpcVY7IUmSqPXHebO2TxCzGg2M9ZrZ1xHjT+92sq9T/awJRVauWeBjSokVp0Xt4v7vVj8zysp4erfaJR7L6BLXByqvVd1+d1TmilkFrDwUYlNTlB2tUaaXqsn1N2pDyApMLrZQXWBma0sMf1TGYzWwqMbBSaOdrBjj5PfvdlLXneDHrzWysMrOFxYWsrVZPSezK2zctb4TUJPQW1rUoP7Vkyt4o7Zb6/puDye54qEjBON9gVtYJaadI8iZJLeZJBxmA0lZIRCTkRWI6TLiBgmqPCaWVjs4ebSD659rRlZgUbU6p0S/vUzBTU9aBYkVVtWCtIj/i7knogMC0IQoPRIphR+/doSdbTGcZokfnlGWMykOaNuz2WysP+LnL+v6kuKlTiMd4RSNgaT2u32dca71WShyqH97ozbEmeOHJ77kIpoHOuO8uE89H19cWIjRIJFIJnlhX4C7N/kJxWUMkloh/InZXuzmYxecrVbrURHulAJ3bejkid6ik+lldj4y1cUPX29jS3MMg8mCnIxrldDJZBKXy0U4HNYWE/rvkBAF368528NZHIhFULbOHT0pjEajacTNZDJhMpnS7P6H0rHzQVj0HA/o6uqiuLi4X1VyHnnkkcexgCzLx2T+IzAk+2KBSCQy4h2UIn6+cSjEv7f6adIV+UnAlFIbn5lTwLRSG2sa1Bg81memwGbUCtYEhDNKZnJcWFhPdDq5fGaU+7d08vf1ncwpr8RilCh3GblheQVXzHDz+uEYj2/vc7lJKvDz3nFFHquBq+YWceZYO3arOes4FUVRSMoKf1/fxbN7e3lGqZWDnTEiSbUj5Fu9YhWki6cmk0nrdBDW1YqiaOODRAeQw+HQuKB+RmWhw8SZ410srXFwy8stHIjHcZglyl0mDnUlqPWr/z22swebScJnN2rn22Ux8JeLq/Fah144OZDwNdj7Mueb58LujgS/W63a0APMKLVy3eIiagoGdm1pDyW5Y3U7W1v6ro/VKPHRGR4un+7R+Mul0zw8sqOHP6/tZPFYH0py+MV+mfxPfIcyCxnsdjvBYBCz2ax1pIn3Zwq17xf0Y3IMBgO3nVbK83t7+PO6LpIK/Oytds5qjHDD0mJt3zLH7wjoXQ7EukcUaohOcqvVqp2PoRRSvl9cOheOh6Q4QEtLC06n86i/U3nkkUceAyEajdLR0XFMPms4SU+j0chVswv49iutBOIyO1ujTCsdmiPN0WIgXSaZTPZLvur/HYvF0o5PxIhSp4nrlxTx87faeXh7D/OrnMyvUblEIpFIi4ECQoMRyXB9528ikdCsrlOpFJFIJGtSWlGUAc93Li1GaJKCSwpuKbSsVCqlWYzrXRFFcUDm9sR+LKpWmFth57l9Ae7f2k2tP8F3Xm1lcbWdz87zUeVRuVm2rvOh4GgbLvScajDoz5kkSZwz0c2schu/XtXOnvY4v17dwfJRDm5aVsz3XmtlT3uc367p4OblxWnzuweDSP5mYpzPwndWlHLbay2sa4hQ6jRx18WVrKoL8+SuAPs747x0IMhLB4LMKbdx+ewiZhar6w3h4hMOh5lcbOVvl47jZ6/Vs7YhwmM7e1hcbac1mOSQP8Gtr7TwpUWFnDXBfcwLLs1GiQsnezhvSiGPbe/gkR09HOlO8JM32phUZOGTc7z9iiX05yVbMhzQzpdIgOsby5LJpKZ1ms3mIbsLjeSa9njhcMlkks7OToqLiz/oXcmJfGI8jzz+R6CvPjKbzVp3pf6Bl0wmaWpqoru7O+tn7GyN8qPXVQtFUK3Tv7CgkPMmubI+OC0WC+uP9PCTN1oJJRQq3UYMkkR9T5KvPNdEd0z9HIdZ4qrZXi6c6kVCQVEULptewIv7g2xvjXHDs03U9s5OnF1u4yu6LnE9xPxqfzRFucvMh8a7eGF/kP9s8fPTD5UD8OpBNfF5zpRCTCYTb9WqCe6lNQ5MBrUjYmaFk9+dZ+XhHd08tL2bdQ0RtjQ3EE+p2/DajWzrFadEB5DXZuQPq5qI6mLVoa70DgKJPqtDvXSh6P7usxsptBlIKdASTBBOKkST6QHQbTUwvdTGeVO8LB9boFVPhnXdNPGUgtXUlxg3SH0VlIJQ6slpKpXSkt4icAsxCNB+l0nw9EJgSlb4zep2NjRGsRolvndaKeN8g3fqBCIJ7lnTynOiU99m5NpFhZw0ykF7OMlTuwO8sC9AuHf25K2vtDCzwkFHOMRjO3s4fZxzyMQuF6lVFIW/rutEQXUsmFFq47A/zh/fbdYcCiYUWvjy4kImFB27BKKogj0aS5z2UJLbXz7MjhaVGF4y1cO1yyqJRsJ4bUb80RSb63tYOLoASCfn+gVW5mLLarUOiWzmmpszGMQML0EGMy0t9SRZ/3v9tctMdugXBfqZS8IacyjJkZEmf8eLgAnQ2tpKTc0HW/WeRx55/G9BcEoxu09Uy+sRDoepr68/ZrZvetvmwSD2ayScOYxGIynJzJ/WNPLqwWDarGyrUeKUMQ4+M9eLx2bSkoYb6lXOM7fSicViwWAwkEz2je8RsSsTZrOZWCxGLBbjyrnFvLi3m6ZAkqf2hrhsqguLxYKiKLgsBi6c5GBOqYmbXmxKK9IEKHOa8DnM2O02JEXWxBoxL0+WZdq6Q/zi7Q42N/VZMwr+O6PMxjeWFVHo6Dsm0TksOnkcDoc2/xLSu2fE7wYSGmNJmR+93sqBrjhem5FfnFVGlcdMdzTF5qYoG5oibGyM4I/KaUUIbjM8tM3PktEeJvukIXXGHI2AKQoABuNB3dEUd2/q4pUDqvBVYDXw2fk+Th87cPLQH03ym9UdbGjs+3yzQeV7n5hd0E9E/tjMAtbURWjoSfCX1Y18aVHRsI8pkyuJolnRoQWkuQJkFnRAOieLRqNDFjFzdXflgljTiCIMSZL4yByHem++2EIgLvPSgRA72+LceWENZCkyyQWxD2JtJKxoRQJgKBjJxPj7WdQ6XEQiEYLBIG63+4PelTzyyON/BMLRTrh6iNiTyYM6Ojpobm4+Zuvoobq9gBrPFo7x4bK0E4zL3LfFz896NcZjDTHGJBqNalxK6HL6zurM/bfb7VrTgPibSBrrm16Wj3ZyVmOUlw4E+eVbrfz+fCMeqxG73U4ikejHiTJdY5LJpKZjifEikiRp+y3WBII7CA4w0JgjPXcQxyGuvyRJWvzV69g2m41IJEI0GtWK/PW8Mtf1jUQialLSCBdP8XDaWCf3b+3m2b0B3q2PsL4hwgWT3XxsZgEua58tfSqVGtKopqOdz2yz2YjFYkO+v7O9rtJt5pdnlfPwjm7u39rN20fC7GyLcfkMD/du9vPW4TCV7m6umuMd9PPFOYbcDS6zym18fVkxv3yrnWf3Bii0G/m/mQWcOsbJfr/Mw9s6eacuzObmKJubG6hym7h0RiFnT/ZC7xrBarViVRS+e2oJT++LcNe6Nt6tj1DpNjG33Mam5ii/e6eTw/4EX1xcOmSnpuEk0R0WI5dPL+D8yR4e3xXg8R1+9nbE+c6rrcwqt/HJ2V6mlKj3mPhOZo4e0m9Lz8kyR3yZTCZt/IAoFh5sP4fjTnUscLwkxgHa2trw+XxZ18XHA/KJ8TzyOI6hKAqhUIienh78fr8mpokHs91up7KyUiNAnZ2dWYUhRVFt//6xwa8lcUucRr6zopTxhbkTnysPBbn9jRaSMkwrsfKdFcW8ejDEPzf6taT4itEOPjffR6HDBIqMvTf5VeQwMqHQwu72OLX+RM4ucT28vYnx7t7s9CcXlvHqwRBbW2Ls7pSxSikOdSUwGWBJhYloPMGqI6pIdfIYJy6Xi2AwiMlkwutxcfUSJ6eOL+C3q1rZ2aqKUqF4ii8+0dCvw9sfTRdxDKjVZzHd0HAF0maImw1Q7rYw1mtEkgzsb4/QFEpp1jMCRgmqC8wsH+3iI7NKsCh910gEY7PZjNfW90hWE+NosyONvYlxRVG0GdOyLGsBGfoq3oSoCn1kUpKkAcmdoij8ZZ1qNW4ywHdPL2da6eBJ8Xfrw/xpbScdvQn8cyd5+Nz8QmxGdfvFDhOfnefj/2YU8Jd1Haw8FCaSVFhbp163I90JXj0Y5EPjBxdf7HZ7TgH2jVqVMFqNElfOKuDezV08uqOHlKJ27V8128sFk9395g69F7yXasdNTRFuf7udnpiM0yxx40nFLK1xYDYaMDmdLKxx8vK+Hja3Jlg81jCgaJtJqCORiNZ1ne19+tndw1mUim4wUU0sILYlyGKmLTr0dQmKxVVmckQIl+IZp6/QFImGD3ruYiaOFwEToLu7m8rKyuOWbOaRRx7HB5LJJNFolJaWFi35KXhFIpGgsLCQsrIyrZCuubn5mD5XhiuERiKRoxanMiHcdMQ+CNvoIz0pfr+qge0tsTRuWOo0ceWcIk4bbcHhcGAymdJslzc19roQlan7J2JfthlzejcfPY+RUnE+O8/Hr1a188CWTk4b46DCosY6fzTFA9u6eX5vQOOesyvsuC0S79ZF2NcZ58evNVLsMHH+JBdnT3ThsfYJLi0RidtebqGhJ4HVKFHpMWlJ8YumuPnc/EJMBkkrthXnxGQypc3C0wu54thETNfPjcxESlb45dvtbG+N4TBL/OK8UVQ51LhZYDOyYqyTFWOd/GBlC+saej/XCPEUNIVkntrdw1O7e7AYJWaUWplfaWdepZ1qjyltHTEU0S8bxHEOdG/JisIrB0LcvbFLKyo+d5KbT84uwG3N/b0IxmXuXNPOO3UR7Z4yGeC8SW4+O8+LKUdXlc/j4rpFhdzySgvP7Q2yYoxT6+YfKjIFX1HIKIoOxbkS96HemhzoN6Mb+rq9MvmfgCgMEQmAoXZlia4qvR0lwOQKL/+61MT3V7aytSVGfU+Cjz1wiO+sKGFeZZ9TgdieKATRQyRk9C5Zgntms4zPhqGI58cKx1NiHFSb43xiPI888hgMsViMcDhMS0uLxg0EH5IkifLycrxeL4qiEAwGaW9vx2g0HrPn63ATTalUilNGO3huX5AdrTGSspwzJg8GvcUyoCVfRUJc/3uz2YzD4SAWi2nF/5IkIcuydt7E6wCNb2aOkNP/+5pFRexsU2Pk79/p4JZTStKOU8R/0TENfQllUcQmZiyLbWY6qugdCu12O6lUasAEn9BzxMx3wR8ArSFD8BA9J9bPOR/KvaEoSpork8dq5IsLCzlvkpt/buxiXUOEJ3cHeO1giI/PLuDciW7ojf2DaXhCSx2u1nc02mCudZHRIHHFTC/zK+38elU79T1J/rnRz5xyG5ubozy4vZtKj4kzxuV23hQ8dyj7dPJoJ/5Iir+u7+K+LX58dgNnTXAzs8LJRJ+RlmCSp/f08NL+EA2BJL9f08rdG9o5f4qXi6YWUGKWtULay2f6mFJs4aevN9MYSNIeTrG4ys67vdfkSHeCb51SQkmBKydfFPmNbLbtuWAwGNT7PBzmypkezpvg5OEd3Ty3N8DW5ig3NTezuNrOVXN8TLUr2n0qIDRKoWtmJsJFwXMsFtOKOEQhtP45kAtDdaf6/xGpVIqenh58Pt/gL/4AkJ8xnkcexzHC4TAHDx7UftbPc9Yjk5yImW1ms5lgNMFPXmvg3fq+gLhslIOvLC3CkcNKWlEUHt7Rw72b/QCcPNrBR6Z7+McGP9ta0gW/qxcUcdkMrzanzW63c6g9xB1vt2qdugDfOLmYU0Y70+Zy6MVOk8nEc3u6+d2adpaMcvHjs6qIRqP8eW0nz+4NMK3EysQiM0/uDnLSKAe3nFLChsYI33utlQKbkXsvrcJqUYNbRzjJ2sY4GxuCHOpK0BFJkUjlftRZjWAxQGCQOOU0S4wptDGrxExJgZ13jwTZ0RIhGO8vZHh6u8Ivmu5jeqFBs78ebK7Kxf85TEqBey6tothh4q71nTyxO4DDLPHMZ6ZkJQ8iaSjELEF8xTw9vUiVi8j+a1MXD+/oQaL3Wo1xDbifXZEUf1vfyVu9M7sr3CauX1zErHJbWvWnHkazlY/8ex/hhEKp00hrqE9cO3O8k0unehjl7UvGWywWrRgglxgHEEnIfPGpRjojKc4c72RHa0zrPFpS4+C6JSUU2o793L6jqfpLyQoPbOvmgW3dKMCEQivfPLmIil67erFQeP1ggB+/1sgYn5U/nK9WMovzmkgktO6+bHb4eohqXXHsQkjUv2eoIqYQPvUzoQTEgkoQSCFU2mw2rSJZXL9s1uhWq1XbR6PRqN07+iKgwUj9SM/RGemqz8FQXV2N1+sdse2d6JzqRD/+PP430dzcTHt7u/ZztuemiLv6mGuxWNIsp4/22ZeZ5NZbOYqCKmH1KHil2WzWxDrBb/T7oOeV+uey+Ld4j77oSpZlXtwf5OEdPWlcRAJmltu5em4BUyrcafuqF+0ae+Jc9eBBjBI88NEa7GZDzhgk4mE2a0VRdPD15xrY2RbjtPEevra8jIc2t/Hozh7CCV2sNks89enJJOJxOsNJXjwQ4qmdXfij6musRonTxjq5aIqb1lCKX77dRjih4LMbkIDOiIzVKHH9kiJOHevsd74y9xnQOpxEUZsQNYWonev9sqJw55oOXj0YwmyAH55RxqIxvn6dGDe/1MKe3tFOE4ss/PrsMiJJ2NLcO5u8MUJbxgijUqeReZV2FlY7WTTKg9XYJ9xardYBeZHouhKW3APxwlp/nD+926mtZcZ4zVy3uJB5o3zEYrGs2wjHZf6wtoO3D4c1RyqjBGeOd/HFBT4sA3S+678bv1vTwUsHglR7TPz+/ErMxqEVdWYrIhHfMcGj9fxc2P0nk0lMJpMmYA9kk6rvqBHvTyv26C10HKyYUSTrRVFzJgTve2RHN//a1FfYfflMH9csKQNI4416XimcAAAtAaEXV4+XWd56HG+cUpIkpkyZMmIFl3lOlT8HefzvQVEU9u7d20+HzIwh+kQp9MVqkVzKFVMHQ2YXp9g+9BV96V03RRK6KxTjow8cBuDzi0r52JyitH0W7xMFkaK4UfycrbN5IIhzknluxP4L7VYUcCWTyQGLpUTyLpFIsKc1zE0vNpOU4bpFhVwyq0TjaYK7g3qOBU8VBbGxWEybW67vpj7a5o9chayCFwgXqExNW8+fh1NcN9B+bmqKcNeGLg73upZWe0xcPb+QBVV9xXWRSCSNC4hxK/rfD7Q/+nMsHECPBpl6XSaiSZm7N/q1kUhuq4FATMZkgB+fUcaMsuwFlEdjHy80YYMEt64o4bRJxWmfEZMlXj0Y4omdfhp7ekfhSGp+4eIpHmZXe7Ti2p5Yih+/Uqe5Js0otbK3PUZchiq3ie+eWsq4EnU9Is5d5vx5YMiJ8Vzfs9ZQkge2dvPKwSCyoq71Thvv5ooZbsaVuLXvg/5ZkpkYt9vt2jpI3HN699ahfGeOtYX8YDia6/9+wu12M3r06BHb3nA4VT4xnkcexzHq6ur62aJnJqAGfH93gttea6GtV/QzGuCGpaWcN8WrVXLq57uBmrj7y7pOnu+d1XzRFDd2i5lHtnWSUlTh7YqZBVhNEn9b34UE3HZaKQur7MiKwjN7gvxrU5c2S3ysz8LOthjzqhz86vzRWvWjEF1FdVUikeDd+gg/er2ViUUWfnNuBQAd4SRXP9FAQlYT06GEatGyuNrBnWvaeflAiElFZjw2M7VdMboiKQbIgfdDrvng4vcGCT45p4Al1Q5ePhBiXWOU+u64JngJGCUY5bWwpNrGBZPdlHldGhEXIpQgtwMF98sfPEIkofDXiyqp8pi5Y1Ubrx0K47MbefxTU7KKRyKpKAK1qOYU94qYF5nZJSLw6I5u7t7kB+DLiws5Z6I75z4qisJrB0P8fUMXwd6Z3ZdO8/CxmQX9rC71JE8Qgd+908FL+4OcOc7BzDIbv1nTmfaeJaNc/N8sH5N8xiGLVoLA2UwS0d757UUOI19cUMjSGru2IBALGiE+vRcB6mjmnvqjKX71djubm1VyeMEUL5+d68GSIXgaDAbimLn0vr3ICvzzkiqqfeosG70gKRZlouNvoH0VSe1s82+yLSqzQSzCsiXG9X8X29TbbmUSM72Np0iIxGIxLQEijtVkMmnJjMHuh2PVVThUDPW8jRQ8Hg+jRo0ase2d6JzqRD/+PP73IMsyu3fv7ie0Hc1CXYzMEFxOWDCK+JBLzBMdnKJL+WgLnvRdOiKWC86lT45mCos90ST/3OTnzdowcR1ZtJskzhjv4pOzvXhdNs1GPHM+o0gwvnY4xh1vNTO91MovzlKL14SwKQQ/Ab21ebYxIna7nX1tEa55/BCyAm6LQetOnlRso8Zj5NWDIVaM83DzST7Nqj0SiZBIKbx1JMITO/0c7OrPaSpcRtpCKZKKWsB46yklTCx1pllnZ7sGIkaLgk7BIYX4F41GtXEsQNo1UhSFf2zs4oldAVVYO6WExTWOtPMZT8rc8FwT9T1qDJ1faeMHp5f12w9FUajrTrChUU2U72iNkdARcKME03Td5GO9Zu3e0HeVD3WmNKgC5APbunl8Z5/r0MdnebloihtThuuQ0WjEZDKRUiR+/UY9rx4MaesDg6SO9rlucRG2IVjB689PMJbimqcb8UdlPjazgCtnewd9v/gOZvISMTdUdGGJ85ApCgv+ZbPZBp2VKKxQZVnOWVgxmBgnOJtI3Gd7vRAi97VHuem5eq1QZJzPzC/PrkQYbYlj1ztmiY494XQgiktFF+PxZnk5VOF3JFFTU0NBQcGIbCvPqfLnII//PfT09HDkyJF+vz8aXimSkmLEj7DaHih+i+emKHobSnJSxKcvPd3Ake4kJQ4jd19arcUiUHmRfl+EWyMw7MKqzEYgEaOFfie6bB0OR5p2Il4jjkvfkWowGAgGg9rxP7azh39u7MJqlPjTh0cztqjPHSmz41bENpPJhNVqJRQK4XQ6icfjWswbbkJN7x6U67oLW/ZQKJRWrCYcDoVmKsb0DaVQYjA9LiUrvLg/yL+3+OnpdTudV2Hjc/N9jPZa0tYRAzVYCMt5Pa98r1piLgitMpsD1YbGCHeu6aAzktK0apdZ4o7zKqh09+9YPpqmEaW3sPWVgyGsRokfn1nG1JL0MZQOh4N4IsmGpigPbmpjq65xbmqpjQsnuThplAOPy0k0FuOxnQH+ub4NWYEyl4l4SqYrorpmfvNk1QlIjILKxT+HwpHEfSuKIzOfBfXdCR7cEWTlwR5A5elnjXdxxcwCqotcaedKfB8zi2sMBoPmqia+Q4lEIi1hPtj+jRSOt8S4JElMnTq13xip9wvD4VR5K/U88jhOkUgkss4KF8RoMMu1N2uD3LG6g2TvS0qdRm47tZQxPku/oCIq+GIp+Nkr9bzTa3N9ziQPa46EtG6NJdV2Pr+gkDKX2k10xJ/ghf1Bbn+7jW+dXMJDOwJs752XPLvcxg1L1Nl4X3iygY0NYdbXdjItwxJQTygKrOpDsltna17kMHHeJDdP7g4QSiiYJXhiZw+/f6dD65LZ25EA0omJQVKtGsucJmIphUNd8axJ8Myfq9wmrppfwi9ebwLUZPfDOwLcs6n/tfBYDcwotXLxjGKmF6n7LohhJBLB6XRqFkhi9qMQZHLBapSIJBTiKZWEB3sPy2KU0gQkfeeTXoAVSXj9tsTsE+izeBIVoS/uC2hJ8U/P9XLORNU2Lxvhbw4m+OO7nWxqUknDeJ+F65fkntkdiUQwm81YLBaN5Jw+zslL+4OsqotwzaIidrTGeelAEJ/dgD8i886RIO8cCTK52MJHphWwuNo+oP15Q0+cR3eq5CaaVJCACya7uWq2F4clPegqipJGYsViY7gLN2HFOpzE+I7WKL94q53OSAqrUeKGpcWcNs7V7zssiLDLJDG52MquthgbGiKMLnanzfnUd34PRnpSqZR2LbJBVCoPRpxER1G2hIH4e7bZWdB/kZSZELFYLNo9K+w+xQzWoWKkk9THm7V7IBDoZ4maRx555CHg9/uz8kbBGYazeM6spM+EnoMI6zlh3SgcjYYSe3PxpYEEKX3cEMe7szXKPzZ2sbc9nsb7Kt0mrpzlZUVvB3Va8lYXw8xms1agZbVa2digFvXNKU+3Etd3ROmh7zISXET8HI1Gqe8M4jAbCMZlAnGZMpeJT872smKci2+/1ALAzBKT1tljt9t7bTnNnD/NwRnjnGxqDHPnmo60DuumoPrv+RU2bj65hJICp2ZdDeB0OrVrpb8eQmgWQrUQi0SMETxSP4tcnLdHdvTwxC61q+UrS4pYXNNXCAdqV/WXnmmkvXc/Txvr4OvLSsgGSZIY5bUwymvhkmkeokmZPV0K6+qCvFsXpCmQZFtLjG0tMe7Z5KfQbmRepY35lXbmlNsGtDvPhrX1Yf6yrlNzEVhSY+cLCwopdWaXTGKJBH98p40X9gborctEAk6qsXP90mJclsHjsZivrb+fXVYj1yws5OdvtfPwjm6Wj3YwWueolA2iEysTQiCMxWJp31lRuCruTbEPonNsIP4lCiMGmv05mGCt5ypiDFSmiCmOZ5Rb4pGrJvKVJw+xryPOwa4En3jkCD86o5SpJTbNlUj/DBPfEUVRtO/NcPj+SFteHk+zIAWEqJhHHnnkkQ0dHR1Zfy9c44aTlBtsze90OrViev3scjHGY6jFTGKfLp9ewK9Xq5ypKZCgIuN1+nipj01H21eYGeNEk5IosMtcw4uiRBG39Memb45wOBx8fL6dTU0RNjVF+enrzdx+VikWo5TmmCQS+iLxGolEiMfjWnJcXwA5HC0hc/0gihT0BQ1Wq1U7dnGdRFJc8Gqhc0Wj0SHZnQODutMYDRLnTXKzYoyTB7d389TuHjY2Rdn8bBPnTHRx5SwvBTajpqvlwkg2XujXV6LQU2h+8yvt/OGCCv7wbierj/QWUiYUvvtKC789r0LjvNl4/VAhSRJfXlKEPyqzvjHCD1e28suzy6kp6NMRZVnGYjYxu9jA7A+VcbAzzrP7Qrx6oIddrVF2tUYpcZq4aGoBZ461c/mMAib6jPzirTZagkl1vJPbRGMgyfdXtvK5eT4umqJytfcC8d3MlSOpLjDz9ZN8XDLFyX1b/KxriPDC/iCvHgxy8XQfl0x2UtA72lU/bkDA6VTXUMlkUuOVx1OTzPEOMU7jeCz8y3eM55HHcQhFUWhubs5JNiF31VRSVvjLug5e2NdXbbV8tIMblw7csRDFwrefO8y+zjhmA4wqsHCgSyUBZU4j151Uxryy9MRaIqVw6yst7GyLaUnnbLPERZfw3AobPzqjf0eIQHMgwdVPNmKW4Aenl7K2IcLudnVuTjA+QEesBIUOE9VuAyUOM9GUwuHuBE2BZFpHkB5mgyo8dUXSLTTPm+Tkpf0hElniqVGCUQVmlo12cN5EF+WFHq0qzWg0aiRTPFZFwIT0CtGBFgqfe7yellCKP1w8mrEeiZteaGRXW5yxXjN/uLAqjYwL4qnvRtJXfwpkI5aSJLG2KcGPXm1AVuCy6R4+Pbdv5od+f1OywtN7Aty32U8spWAxSnx8VgGXTPUMaWa3/rNkReHzTzTQEkpx8/JixvssXPt0IwrwvVNLeLchwqsHgtr5r3SbuHSah9PHufp1Vtd1J/jGi81aZ9UYr4nrlxQzuTh7oj4XREf1UKr8Mi2XBoOiKDy+K8A9m7qQFdXG6dunlDDaa8n6HRbdLolEgge3dXPfFj+Lq+18/4wKzUZWFDfo3ztYUmOwburBup9FIY7+Xsr1DBLnUz+7VnxHgsFgWvGIHg6HQ5vTqp9rmsfQMWrUqBHjNyc6pzrRjz+P/y0kk0nq6uoG7AQ9lpXlQuiLxWJZOchQHTfey9xdWZZ5fFeAJ3b30BXp+wyDBHMrbHxhgY8qT1+yMZsNe+bfLBYL0ViMTzxST09M5rcX1DDBO7iAl/l3p9NJLBZjZ3OIf23pZktT+nuvW1rKh6d5iaXg4n/tJaXAXRdXMr7cmzVxGVHM3PZSHbt6bb/tJolIso+rOM0S50/1cc44O6WuviSvfr/0zkKiGwn6urgyk46Zx2s2m3l+bw+/XdUKwOfm+bhkWt+z0eFwUN/ew3XPNGm87cNT3Fy9oDDnecsG/bE3BhK9lutRtjZHiek4v0GCSUVW5lfamFdpZ0KhJSdnbQsl+dv6TtbUqcdU4jRyzYLCfkl9AVmWuXdLN0/u6tH4qgQsqLJx49IizTVqMDE1015WD0VR+PEbbbxbH2FysYVfnlU+KOfOJlAD/Wzj9esQYaWe6WSgnyk/lG0d7d/FvTRQUkOIw+FwmH9v8fPANrVYWQI+McfLlXOKshbbiKKDoy2CHUnLy5He3lBgMBiYMmXKiBRc5jlV/hzk8b+FXN3iArm6No8WejegbF3bQ+Gw+tgnyzKXPVhHPAXLRtn59imlx2Q/c+1TNvc8MVNcNASI3wsr9IES/ZnnICZZ+exD++mOyVw6w8dn53jS+JLQX/Ruofqu9cz9G4x/m0wm1eUw4/rqz7HewUdRFO3z7XZ72phEEWOyOVoNZDE+XLfApkCCuzf6WV2n7ofTLPF/M73839wyErHjK/5mQq9DKorCa4dC/Hltp+aWWeUx8bdLxmBAPibNG9GkzK2vtLKnPUaJw8jt55RT7DDldPlxOBw0dAR4YX+QZ3b30B3rG/N0xngnl80sxm5U+OVbLVqTlUiOA3xovJMblpUjybnXhoMVbWZq7AM9E6xWKztaIty1tpXtrb3fEbOBS6cVcPnsIqySrDlGZG5f79w1HIz02MfjkVd6vV6qq6tHZFv5jvE88vgfR0tLS1bLbD30c2IEOsNJvvtaqzZLxSip1tgfmuDO+TkOh4PajgjffvGQVsGVUhQOdMUxGeAj0zxcOa8EQ5Yg1RZOkuz1DFRQ7R/vOLdcm5cs8NEZHl49EGRTU5RdbbE0O5Z4UmZTU4T1jVH2tKtBKaHALa+25tznMqcRGYm2UJIpxRYKbEb2d8TZ3BJHUQYnRwbg4StGYUDhHxu6eHJPUDuGZ/emi8YFVgMzyqxcNNXH9BL1uDKDjOj6yQy8epJpsVg0EXigxKo6fzBFTyiK4rYR7i0IcFoMKIqSRgCzBX7RnS2IpNFozEogNjSE+cnrrcgKnDPRxafmeNP+Lojpoa44v3ung30d6jZnlln58uIiqjzZu48zkXmuDJLEqWNdPLi9m5UHQ6w43cmSGjtr6iKsqgtz49Jirpzl5Zk9PTyzN0hjIMkf3u3k31v8XDjZw3mTXFhNBh7e3s2D27s1y8pLp3n41BzvkBL1mRAd1YMtqEThwVA7SIJxmd+uaeedXqF1xRgHX15chN2skv9YLJa2TavVqlXKmkwmlo33ct8WP1uao0TjScxGSbsumSJVOBzW5o9nI8ODLUz1lY/ZIOzE9B0tuRZL4l4XxQbiOIPBoDbDUt8hrl/wCDut4WKkLS+Px/mUoBYb5MW0PPLIQ49UKkVtbe2gyY2hzkgbCMJiPZFIaNwjW6zQc6JcOFoBoSOc5K4NXaypC2uuSQAui4FzJ7r42MyCrLOeMy0SxfzkeDyuxRhFUajtStATk7GbJMZ4pKMqKKhtD/HP9W28dVh9n9kgcfFUN167mbvWd/CvDe2cPt7D1gbVzrvMZWJUkRqjBQ8UouWRHpnvvXKItnAKm0nCIEE4oeAyS5w8xsmW5iiNgSQPbe3kkW2wpMbBxVPcTCuxpl0DWZb7WceLznxhEQ+kjXTRY+V+P79brc6vv3y6Jy0pDlDnj/HFpxo1Ee/Tc71cNn343aj6+7jSbaZyspkLJ3uIpxR2tkY12/Uj3Ql2t8fY3R7jP1u78VgNzK1Qu8nnVtjx2Y0kZYWndgf471Y/0aSCUYJLpnm4YmZB1mJiWZZ5cHsPj+zoSUvCzy638rWTiilyqNKKsO4erAAkc6ahHpIkce3CQra2NLKnPc5z+wJcOHng+J5ZOGkymQiHw1pHluhQ0/PBbB1XsiwTjUYHvLcH41xiPM5grxNcKpFI5Nye4KBms5lPzPYyt8LOba+1EEsqPLStm0umuCkwm3E4HGldaqIb72gKfka6g/t47BgXxR2iwCKPPPLIA9RYU1dXN2DyVNgPv9fRY5n22rk+byg6gP45azAYWFBpZ3VdhHUNxz55JIq5BER8NhqNJJPJtFF/el4Ti8WG5FgiHIcEfHYjNy4t4gevt/HY9i5mlpg5aUyfXqd3sRQQzQhiFJLAYLxWuFFmuw76Y8l0aoQ+d0ux3hioQUXwb/HvTAw3bla4zdyyooRtLVHuWt/Fga44/9zYxfP7Anxmri9tBOPxBj2/kySJM8a5mFFq42dvtrG/M05DT5JPP1LLHy8eheMY1LLZTAZuO7WEb77UQn1Pgu+91sovzirH5TJqeQqRJBeOPT67kY/NLOCy6R5WN8R5eEsHtf4Ez+0N8tzeIAur7Fw+s5CpxUEe2N5DYyCJz2bAH5V5+UCIhp56bllRgteW3e1J6Jm5NDjhOinu5VxuRAaDgUQiwaxKFz8/y8DGxgj/3trN3vYY/9nSRYnTwNkTC7RnT6ZL2WCuablwtIXeR4vjVas8HpFPjOeRx3EEWZZpa2ujvb09p+2xHtFoVCMVW1si/PC1NqK9Qk2Jw8jPzq1mbOHAIufGum5+8KradWuU0ISeeVUOvjjfR5XHhN1qJhLRiWeK2kF87ya1g9hqhJQCgbjM8/uCfHaeL20b5S4zp49z8vKBEH98t53xhVb2d8RpCSU1gSwbrEaJEqcRu0liX2dC60o3GSQaeqvLdrf3J0k2k0R1gYXZ5XYW1jj51gsNaX8f6zPzpacbaQoks84XB5hUbOW2FcV47epjUk8QJUlKs7TWW9UIwptKpdKCqHivxdLfyl7bb5tNE+LEdYj0qrrOXjvGXAnOVCqVJmiLDnYxQ0gfiHe3x/jpm20kZTh5tIMbl1eQTKR/ZjSR4qHtPTy83U9KUbd/9fxCzhznGBZhzEYATh+n2hltbIrQFUlx2fQC1tRFeP1QiE/M8lLsNHHVHB+XTS/gpQNBntjVQ1soxX1b/Dy4vRuzAUKJvit31gRXv3vuaBCJRNLIlLALhb452IlEYkiJg/0dMX7+VjvNwSQmA3xhQSHn6lwU9NsU4rv+HkmlUlTaZXw2I13RFDtao8ypsGsLoGzXQP88yMRgiyuHw0EoFBpQlNQnOsRnZiYuhIOB/jths9m0zxQkMh6Pa/exfh7Q0WKk7cMHs+76oKAfq5BHHnnkEY/HaWho0JJcg0Fvt5gN+jEe2ZAtCWU0GrHb7aRSqTSrxMEw3AX9xsYId2/s4pA/Pd6NLjDzqbleFlXnPv5shWFC6BExSsyb29rbWTCjzIbH5RxS0k3MOm7rifDg9m6e2xsgKasdr6ePc/KZBSWUOE1IBiOvHQxysDPGP9Y2Y+4t9ltQ7dRmXIpzKMsyq4+EuWN1O9GkgsdqIBCTUYDxhRa+c2opo4pcRGMx3j0S5MndAbY0R1l9JMzqI2EmFFq4aIqbU8a4yGYoZbGozjZCAHM6nVqSNRPb2hL8elUHsgJnT3BxzUmVaVxkX0eMb7zYrHVX37yigrMmuAcUuLJhoBl+FqPEnAo7cyrsfG6+j9ZQko293eSbmyP0xGTeqA3zRq16varcJoIJme7esUzTSqx8aXEhY3JYlj++s4f/bvWndeJPK7HwtZOKKc8y21FYlurFM9E9JY5ZFLDmGs9T7DTx6Tk+/ryuk3s3+VlS7aAkh627gBDZ9dduoCITwX2hP2fPVSwzlC4ts9mctYhbj0xhP9v6yGKxaAkWcY4WjvHxr0vN3PpyM5+d78NiSu8I13f1HI9c7X8J+fE8eeSRhx6BQID6+vp+s7ezQehTuZJIwqlmIB5lMBjS/q4oiuaaGI/HSSaTQy7qzNRPPjXXy+q6CPEUvHEopI3VORbI1kwhYpzQS/THAWgOJ0NJ8mfG63g8zsJqBxdOdvP0ngC/Xd3OzKoCvL3byOxWFzxE7JM+Fue6phaLRSu4G+p+CSQSCZxOp/b3TO0yE5nrhmwFEcIKXvAofTf8QJhZZuOOc8t57VCI+zb7aQok+embbcwss3L1/ELGFw48uuaDQianKnOZ+MPFo7lzdSvP7+mmLZTkkw8d4tbTK5lb+t5TfQU2Iz88vZSbX2rhsD/Bj99o4wengcNqHpCPmw0SZ08s4JRqC9taYjyxq4d1DRHtv9EFZi6e4ua1g0G6ojIWo4QE7GyL8dXnm/juqaWM86VfA1FoIkZbZeN24lmgvz+zaefCfULs/7xKOwuqnbxdG+S1g0FOG+PUGqfEZ4D6/HA4HMMa9Zi5fyOJ4zExfrxyynxiPI88jgMoikJPTw/Nzc1aMB9q92MymeTfm/08sL1vBvby0Q5uOb0aOREbMIm56kiI299u1zpqUoo60/uaJaWcOdGLLMtEIpG0z2gMJPjt6g529to1ziq38ZUlRexpj/HLt9t5bGcPY71m5lbaWFMXYUtTlINdcdpCaiCo9Sep9fcPCnaTRLnLRFMgQTQFPz6tmCQG3j4S4s1aVawUj3aRFBcosBkY77OwoMrOhyYWYDeqr7Tb7Tywsbnftg509T+3ZU4jkYRMT2+H9t72GL9Y1cl1C31UF5g1AiKSliLBLQQukYhOJpOa7YqwCRIBWZKkfgsIu92OLMvEYjF1PlJvrIin1IsiCgfcvfPXswU4IdoajUatClWWZa27SeyfJEnsawvz/ddaiSYV5lfa+NpJxSQT8TSRa0drlN+/00F9j3qel9bYuWZhIcVOs/b5Q0Euu5sqj5nJxRb2tMd5szbExVM9zCi1sr01xpO7A3xuvprktpsNXDzFw/mT3Ly0P8i9m/0E4zJxHQ9yWwxcfQyS4tAnJgo781gslkb4RLHKQHOzFEXhhX1B/ra+k4SsEtZvn1yccw67uJ56Aieug0GSmF9l45UDIdY3RphTYc/6GXrkEhUHEzDFDFjReZ55bOIZYDKZ0oio/tkgEibhcFgjkBbL4AsLIbwO5pIxEPKJcRXHK9nMI488RhayLNPe3k5bW5sWZ4ayQJZlOWeBlBAbBkp0pVIpbQ6k2KaYNW42m9PmVQ+GofDgeFLmoe3dPLcvSE+sT4wzSbC42s7nFxRSPEgiURSGDRYrRaza1KiemwU17iF3okYTKR7Z0cOD27oI9xb2Lax2ctVsDzOqvBrnsBiNXL+snK8+fZgX9gU1B6a5FY602Go2m/nX+lbu3aTOOi+wGbQE7zmTCrhuSTGSnNQ4zKJqB4uqHdR2xXlqT4DXD4XY3xnnjtUd3LPJz7kTXZw7ya11aejdh7Rz3ZvE1hfhGY1GdraE+cGrLSRkhZNGOfjSosK0a7exMcL3V6oORQYJbj2lmMU1lkGTptmQzZ0pF0qdJs6Z6OaciW6SssLu9hgbGyOsrY9Q60+krSUsRvUc7mmL4TQb0pLPz+/t4Z5N/rSCzAmFFr6+rIiagoE5jhBzxfogs+tE7/aUadkocO4kF6/XhtjVFuNPazu57dSSAdd2Itmu56+DnWPhfJWNQ2bb1lDscQ0Gg3a/ZHumyLLcbz2hF8r1CROx9tKvtVwWA3eeX5lz+3a7fcDREYNhpDt7jlfkCy7zyCMPUDWG5uZmAoGA9ruhrDtzjcowmUxIkqRpZANxVNGZqn+NJEmaLnW0CaAqj4Vih5H2cIqHtncfk8S4JElazMoFUTgmknzJZBKr1arpd0NBpv25SAp+Zp6P7a0xDnXF+cmrddx+wRiNg4uEvHAnFNqh0MAEX9fHP7PZrMV8fWPDQPuVea2Ek5SeVwoXAOjT1gTPFA6DAsI1M5MzCO6sx1BdnIwGiQ+Nd3HqOA8PbOng8V0BtrXEuPG5Js4c7+Sq2V4KHcdfukySJKxWq2a/n0zEuW6hF6dJ4ZEdPUSTCt99qYHzp3j59Gy35lR5tCh1mfjRGWXc/EIj21ui/GpVO986uQTjIDpYIpFAkiRmlduYVW6joSfBM3sCvHwgyOHuBIe7E7gsBkqdBlpD6mc5zBJtoRQ3v9DM15cVc9KovoJm8R0R927mMyXXM0R/HwldUu8UKu7vaDTKSaMcadvUb1s4Eh3tyLHM79VI4HjkscerVnn8fdPzyOMEQyKRoLW1la6urn5/G2y2Szgh84MX69jRm6Q2SnD9kkIumlmmPbRzVfs/vrObf2z0921Lggsnu7lylheHRd2uvqIvs0vcbpL4zDwf50500RpK0RFOUeUx09CT4Nerc89GF/s5zmdhcrGVBVV2ZpVZicvw+iE1+UlK4Tsr2wc9d8tGu7h5mQ9T7wNWdGI0+KM8vqOLVYfraQlmsZU2qB1EoYSidfTOq7Dy/P4whXYDF0z28OC2brY1R7j+2SifmFfMR6Z5sNks2jwRMS9HCD7iXAlSGovFNEEm03pFIBtxs5pUASremxBP9HaOF1hVYUJvPSQgSIC+KjccDqctGEwmE3VdUW57tZVgXGZaiZVvn1KCuXdut8FgIByXuWdzF8/tVROUPpuRaxcVagRBVAYPNTE+UOA7bayLPe2dvHZITYx/ZHoB21tbeWFfgP+b4cHVe7yKovBGbYh/b1GT4gA+u0GbFxqIy/zsrTY+Ms3D7HLbe7I/EseWq1JX/7t4PN5PRI8mZf74bicrD6nXfXG1na8uLdKOJRcGWjgtqLSrifGGCFfPT98X0f2nv4eE1aR+X4ciYIoCDrPZrHW2iQIL6BNGxTXVd4WLil69JbxYpAx17tN7JW4jbXt1vJI6l8v1Qe9CHnnk8QEjGAzS1tbWLyk0VOFQxADx/BYijOAdueaGA2lFefo4JLpMROzIrOjPBlmWNQeeTDQHEvx1fRcbGyPoHK3x2gxcNNnNpdM9GjccCHoeli05KFxjBK+LJ2W2t6h/n140eMIoJSusPKRymPawehwTiqx8flEp86scGt/Qu9FMLTJx2jgPKw/20NCjnsN51U4kSRVPo0mZO1c2aTbsLotEd1TGZIAvn1TGGaOtOWf0jfFZuGFJEZ+a4+XF/UGe2ROgM5LiP1u7NVH4oikexvXWG+o5p94lRvDg+p4kP1jZRjSpMLvcxs3LijEa+sSfN2vVAlwFlfv/9Mwyppf12TLrLeGHgqOdzWcySEwvsdISTNIV6SvCK3cZCcZlgnGFNXURbcb4qAIzJQ4ju9pjWiEDwBivma8tLWJcjmLHbBCiczbuLL6TouspW2LaIElcv7iQG55rYl1DhLcOhzllzMDi/dEU7hkMBm0NkWvdIjAU4V6//tQ7Lwjk6pJXFCWt0BL6eGyuLqFMZM5MPxocj4LiSMNutx+3fDePPPIYGSiKQmtrK+3t7f145FCfD4LLieeqSByL+CKKwwbSmLLNNBaF/aIgbLDnfra/nzfRxb1bujncnaAnmsRjO/oUiUiK6+d662dpi/0W/xexMdOVb6gIh8NaMaosyxgMBrxuJzcvK+LG55vZ1BTlgY0tXDG3FKPRqPF6UWQp7On1EAlqULUx0Sg1VMiy3G+NoN+2fi0BfWMXRcJTJC8zecZQ1zDDKZKw2WwQjXLVHB9nT3Tzr01dvFEb5uUDId46HOajMwq4eIobazZbpQ8IiURCa8zSX7tPz/URjss8t0/luM/u9rO5McRXlxYxpWTonDUbRhWY+M6ppXz31RbW1EX4y7pOvrSocED9LZVKpTmrVnnMfHFhIVfO9vL6kRiPbeugNZQiGFfzELKijoGymyQiSYWfvtnGlbMKuGJmgbZ21BdaCmckcR/pm8OgT6tUFEVzKtDfk+J+zCxYHQhH2ykO2R0k3m8cjx3jbnfuEb8fJPKJ8TzyGGEEAgGam5u1YJZKpXLO7hoooXWoM8Ytr7QQ6O1wLnYY+cU5lYwrcfcTQyORCFarVZ0hYzDwo1fqeftIX2CYVmrjusXFTK3oe1ApiqKR3Tp/lDvebmN7i/qecpeRQruRB7Z189d1nWmiZCYKrAaqPGamllgZX2jml293kFLgoiluDvkT3Leli4ae3JbqZgMkZKhwm/jeaaWsPBjkwe09AHx4ihOHzUZSlnl1r5+VhyPsaomk2Rxm4sYlPs6c4KElmORzT6gW6wsq7Ty/XyXbXzupmDkVdk4d6+Qv6/2srQtx9/o2Xtvv5/rFKrEQ1Z0iCZlJ1EUXjQjImfP+RNVZNlHY0puoFlbqid4h2j7drJVYLJZzvpKeoOiF5+aeKN99tZWuaIpxPgu3nVaaNj/xrYN+/vBOOx29wq2wJ3dZ0olgpmCeCwPZ64Bq4X7Xhk4OdMY57I+zoNLGaK+Zw/4Ez+0L8tEZBTT0JPjj2k62NqtC6GivmS8vLuKFfQFePRjCbTEQjMtsaoqyqSnK+EILl07zsHyU46hmjQuRTpyzbNdIkPfMzp667gQ/e7ONI90JDBJ8ao6XS6d53nPCdk6FHYME9T1JmoMJyl1q95ggcdmscTMT40NNTouiAHGM2Y5fP6dSP1pAv43hdpcMNF7geMXxOH/K4/EMqUM/jzzy+P8HiqLQ0tJCMBjUChpFgV4mhlrUJubKim4SSE9ICpFD2Mnpk37ivSKhIt4vxAk9ciXX9VX/gm8JvH1YTTILRxuBiYUWPjvPy8zywZ1VBDJjnJgZ53A40uzzQqEQVqsVh8PBpoYgsZSC12ZgtDf3yCNFUdjQGOWeTV3U9lq7lzpNfHZhCWdM8BCLRonH45qAI/ZFuLJ8crabt2p7SMpQ6jRiURIYjCbaggl+9EYr+zviGCRVTArGFYodRr5/ZhVjPEOLTQU2Ix+dUcAlUz2sOhLm6b1B9rRFeeVAiFcOhJhVZuOiKW4WVtm185/Z7dASiPPN5xvoiaWYWGTh1hV9xZZms5lHtrbx13Vq0a/FCHecU8GYDGtEUYwwFEv1o5nlLlDXneBPazvY1lvUMKrAzJcWFTKjzEZKVtjfGWdjY4T1jRH2tMc50p3gSHcfj7IaJc6Z6OKCyW6ti38o0HdEiY4tPT8Ts0RTqdSAxz/Ka+GjMwr479Zu/ra+k7kVNtyDFF0OF/qRUHpkFi8MZQ2g/0yr1YqiKP3mn4tnht1uJ5FIYDQaNfcsm82Wdq8NN8k9HGeBXBhpy8vjEUVFRccl380jjzzePySTSerq6rQkk9Ar38uzIBqNag4q4vmsj3kizoh4oY8x4mdJktK4rehIFbFCuDAO9OzPlpj68FQP/97ajazAf7f2cM2iwqM6RoPBgMlkStM0hPuJ4Ls2m41kMql1ezscDu24jmb2rvi8RCKBLMsafx7ltXDtklLuXNXCPZu6mFlm0+zBhXul6B6HdH5l0DUciWs/XOTSkYA0DTNztrjQVbOtYYZ6/w207Uzo78FSp4mbl5dwweQYd23oZE97nHs3+3l+X4BPz/VxyujhjZN8vyCatKC/O+cXFxbSHlVYWxdCAhp6EnzjpWY+OkNNMJuOQh8VmFlm46ZlxfzirXae3xek0G7kY7O8A75HOJrq4bIYuGyGj3PH2VhTF+ap3QHNiRYgklS0RPl/tnZz2J/gxpOKNN1aFJNEo9G0e1MkxsUaWF/kGYvF0l5rMBiGzfHea1JbjKUcSRxvBZ4GgwGf79g4vR5r5BPjeeQxgggGgxw5cqSf+JHroZWrCvOZPT38dV2XZi1+Uo2Dm5YX43bYctrGxWIxAikjX3nqoGZXYjVKfPmkMs6ZXIAxY/aMzWZje0uYu9e1srU5ljaLuzmYojmjE9sogdduotJlVCsuYzJTiq387ENlSJLCu3URVtWFsZkkokkla1e5hCqexVKwpNrOjUuL+MpzTbSEUnxilpdqj5lKT99j6z9b/Px6VQctwf6zwkVA1WNUgZkLZ5YhSRK/faUWULvHd7epgu+Fk93MqbDjcDgoN0T57ilFvFFr5+8bujjsT3Dzi81cMNnN5xeXYzUa+81E0leCZQZfAdHVnousWTMS472O6hQ6+kiFSMiLgK7flhB1oa+yNpIy8L2VbTQHE1S6TfzqwrE4jSnMZjONnQH+tr5Ls6uvcJm4fkkRs8qzF2uI+T3ZLLHSjmMQUarAZmRBpZ136iOsPBTi03N9fGSahztWd/Dkrm4SKYVHdnSTkNVigY/NLOCSaR72d8R59aC6r98/vZQCm4EndwV4aX+QA51xbn+7nXudRj48zcOHxrvSkv+DIfN7mc1tQVhN6a2uXj8U4g/vdhBNKhTajXzj5GJmlGY/f8OFy2JgaomVHa0xNjREOX9yuiCbTUjNtK4aqoAJaNWUYkHhdDq1Dh0xByvzeZW5ABku6TsWNo0jTfyOh4WRHl6vl8LCo1vI55FHHv+bEEnx9vb+DjvZnlHDFQGSySQWiyVnLBeCh+AdQngQlfkiGSYguq6hz2pRD4PBoP1nMpn65jAnZf692c9LB4Jp3btmg1pk97n5PgqG2eEzkGgm7OKFrST0iSpra/0AzKtyaRaUohMe1Fi0vaGbf27ya0V9LouBK+cWcfY4OxajREpXRCCOWxSdCbGmxGlitNfMgU6VT0cSMkfaQ/z49Ta6oiksRol4SkFWYHa5je+eUYVNGn4iz2yUOHWskxVjHNQGJR7a3MaqI2G2tkTZ2hKl3GXiIzOLOGuiG6elzwY/lDJwy8v1tIdT1BSY+fm5NXisRq1o7t6NHdy3SU2KO8wSfzy/khJX9ms0VEv1oxGUYr1W+4/uVIsMrEaJK2YW8OGpHi2JbzRITC62EojJvLQ/faSLAZBROfmTuwM8uTtAhdvE/Eo78yvtzCyzDpln6kcbCd4u7EEzEwHZcPn0At46HKauO8E/NnZx49LiYZ+PoSDbs8NisWjXZyguRHroZ6oKtwjhuGWz2TR3q8zP1PPX4fBE8dnvBR+E5eXx1NkjSRKFhYUUFBR80LuSRx55jCBSqRS1tbVZn6HZxogN57klGhByFcKJZ248HsdoNGpaUiqV0gq2otFo2rNZr9Nke2bb7fa0WCPLcr9js5gMTCtRR/q9Xhs6qsS4mA2eLTbqtRV9gYE+WWez2bRj0c/MliSJVCrVr4FAfz6gj9OK82q327lomp319SFWHQ5y+9tt/Pa8CmymPldE/fnS/1s4ROo7/I8Gegt90TQkPlO4bYp9EfPW9c1FwmlKFBIMZ19yOabqkasxY2qJldvPLufN2jD/2tRFWyjF7W+388weK1fP9zG5+L11X79X6DlapoOX0SBx66kVfOWZI9R2xXGaJUIJhQe2dbOhIcLXlxVTXTD04s5MLB/tpDsq8+d1nfxnazc+u5FzJg7cAZytsCIWi2E0SCwf7WT5aCcH/Eke297F24fDpJR0Df/tI2GaAkm+c2qJNuZIP9ZLaJXQp7OLf4v7K5lM4nK5iEQiac1tQ11XDHfsUzZ8EO47x1Ni3OVy4XQ6j9vxPPnEeB55jBBCoVDWpDjkJpWZD9CkrNqKrK1Xg59Bgi8vLuSsCe4BK59kReHJ3T3cs9GvdXfPKrNy25nVFDot9ASD7OqQWVsfZkdziKZAkkA894PUZIBCu5GxhVaml1hYWuOgwm3WSNnO1ijfebWV3e0xPvrgERI5PspkUDvBp5fYWDHGwfRSK/du6eaRHT2UOE3U+hO0hFI4zAaWT/DyxsEe/rnBr71/c3M6mSm0G5lZZsXntPDEDj+Z+MRsL5FIhIaeONua1XNY5jTREEhSU2DhmpMqsBj6EsqSpAqGS8cW8MfVzbx2MMTTewK8UxfmuiXFLB/nTft8/fwePdHSE5jBEmqWDCt1cWcU2dODSCwWw+FwaERRVM6J2T9a56jJyq3P13K4K06xQ50RY5GjxFMKrx4I8ud3WgnEZQwSXDLVw8dnFWA1qXO2BYEVFaVi34VN6kAYCnk4bZyTd+ojvH4oxFWzvZwyxsk/N3bhj8rcv60bgLkVNq5bVEi524ysKPx1nTpP88zxTo2YfnFhIVfMLOC5vQGe3hOgJZTir+u6+O+Wbi6Y7OaCyW4KbEMLwpmd+JFIpF9yWVu4pRT+vr6T53sti2aX27h5eTElbptWuJBpJ3s0WFBpZ0drjPWNEc6fnE4+xX2gXygKu9PM+3A4iEajaTZNmQs9YcElEgMiQSIWObkcDTKROUPqaHE8zvseSXg8nqzuAXnkkcf/n1AUhba2tqxJ8YEwHNvqzOK/bJ8lnr1ifIveNs/pdGIwGNI6QG02m1Zgl7kfeh4bj6tuMn/f4GdrcyRNJCl2GPnIdA/nT3QNW2jQ72OuTmXBdURXghidk0wm2dLbcTyjxKR1UokY3xxMcN9mP2/UqufMbJC4eFoBV84twaz0xVDRzSBinzjP+k4jRVHojqjnNppU+NWqdjY2Rkj0JndF8eRHpnm4dlkVyUSc99LgKkkSY93ww3PGUN8Z4uld3Ty/r4fmYJI/rmnh7vWtnDnexYWT3ZR47Nz6Yh313QlKnSZ+eHopVpIkk2rS94/vdmi8yGsz8KcLKvDYTFo3F5DWqaR3IMh1vx1NN9WGxgh/XttJc1A9MQur7FyzsJCyjAT9tpYIv1vTSVOw7wQWO4xcu9DHomoHh/wJNjRE2NAYYVdbjKZAkmf2BHhmTwCzAWaU2ZhXYWd+pY2aAvOAnF8/R1Q4c2X7Lug5JPSK5pLEzSsq+MpTR3jlQIhTxziZUzF0h4ShQiSvM21Q9d/to4FIgAterE9QiOIAQPteirWNSIwMFUMZ0zAYPgjLy+MJJpMp3y2eRx4nGAZKikN2DWu4iZfBns8iaSIc/Ewmk/Y8Fk55meNnhJW44GyZ+6yPW7mc1a6a7eWbL7cQjMvsaImmjXwZDBaLReuuznTR079GJMJFB3ksFsNqtZJIJNLOedaRKr3d9OLvmbPIhbW0XguSZZmvn1LOrkcOUd+T5G/ru7jplArN1Ukfy/WajShWfK8xUM9fxHGL8UHiWqVSKU0z0u9DtnskG98X94P4bH2RqigyyKWFDZSgM/RqwEtq7Dy+s4dHdvSwqy3G119o5tQxTj4116slaUcamcWJmfzZZVNdVr/6XCP+qMw4n5mWYJJ9nXG+8lwTn53n4/zJbu38610gh4LzJ7vpjKR4cHs3f1rbiddmZEnNwBqUGHsg9ltfJJlMJhnvhZuXl/CZeSq/fmp3gLjOkvZAV5wbnm3kttPKmFrS9z3QX0PBG8V9q38WOBwOgkF1XSKS3MNJjB9PhYtDRa6Z6x8UbDbbcV1sKSnH09l6n9HT00NBQQHd3d14PJ4PenfyOEEQDAZpbW0dMODkEnz0Qa4lmODmF1vo7BXKfDYDPz+rnCqPWRNZsj3c93fEuHNNB4d6rRwl4EPjHYDEvo44zcHkgNbjAB6rgRmlFhaP8bK4yo7LlG79uKstyhu1YXa0xmjoSaQFMj1cFtV6MhyXOeRPsKjKzm2nlaa95oldPdy1oYsVY5zIwFu1Iey9XebZPrXcZeLi6YWcO9GNy2ZiVW2A77/SiAKM9Zq143ZZDPz38moMksTXX2hiT3sckwGSslpg8Kuzy5lUbM1KoESCeGNjhD+v66IpoH7mqePcfGG+D49VJWGC5GYSFiEmCUtFWZZzii5/XtvBs3uDWkfLFQ/VAfCPD1f1E/PENvWWn4qiaLOBZAx86/kjbGmO4rEaufOi0ZRYUzQHE/xlfTfr69XO6/FFVm46pYIaZ98ZHsyCKJvV1VDfK5BIKXzi0XpCcZlbTilmfWNU69YxSPDVpUWcOtapkdyX9gf53TsdOMwSf72oCp+9P6GNJmVeOxjisZ09mhhqMUqcOd7JJVM9A1pgCjsqSZLSro3oCNPPsOmISfzg5Xr2dcSQgP+bWcDHZ3mxWtJJliDp7yVxe6grzvXPNmE1Stz/0RrNbj8T4poci2S8QLZraTKZ0uxP9ccmZtGKeV+DHfd7sUbVY6TJ37Ha72MBk8nEhAkTtGKFkcKJzqlO9OPP44NDe3s7HR0dOZ/zonMl29+H6iIi7MQHeq4OJDiJzwiHw1rBoIiHertGIVDoZ8K9tK+HB7Z10xLSxRZgWqnarTFxGPOdM/c3m2iSSCTSOmPE6CGTyaR1uUYiEcJxmSserlPt/f5vHF6LmtwMxFSB6Jk9AZK9GvFpY518YraXMpcpa7zQ/04fv8TvG3oSfPGpRq1jWcBshEQK7GYD31hRzopxBf0sqt8rtHmPSZk3D0d5Ylc3R/y98+YBt9VAT0zGYzXwq3MrqXSpXMzlcnHLswdZ3Tunu8Jt5vfnl2sd1QPtoxB9cyVdh9Ot0R5Octf6Lt4+op7fYoeRLywoZGmNPU3Y39se4zdr2qnr7hNjvTYDX1hQmHOGdzgus6UlyoZGNVHeFkrnOCUOI/N6u8nnlNso9rqyJpOF6Cw4kuBNyWQSk8mk3RvZ5pP/fWM3T+70U+Ey8fsLKobljDQciISEWLMcK86T7RkkCn2zOVSImaPZOv2yYThiZy4ci+6g4eJYfoffKwoKCqipqRnRbeY5Vf4c5PHBIJlM0tLSgt/vz8n5cj0Th1oIP1iMFxhsfS2e7/rEsuhCF++HvsRq5n4PVGR3xUN1BOMyM0qt/Pys8kGPSWxPcGXR5W7odeEU+o/FYtE4uehmhb4mEtHlmq0zfLDzoIeIIZn8ckd7km8+X48CfPf0Ck4Z6+43ltFsNmtrBxFrj5XWIRotxDx4RVG0hLbo4o/H41pTh9imyWTSbN+tVms/t4DBZsoL7pDtGIYyj16PjnCS+zb7eaXXtdJqlLh0moePTPe8bxwsF3J9lzKve21A4WtPHyGWUjh7ooeWQJzNvU5W8yvtfGVJIYUOVTsabvGpoij8/p1OXjoQxGKU+PEZpUwbglumxWLRrrnQCrMhmpS5Z5Of5/YG0gqjJeCyaR4+Oder8flcnE/ooqJAO3M/xPsGWxMP130zF0ZaOxzuPf5+o6amZsQT48PhVPmO8TzyeB+RSqWoq6sb8KE0UCAS5PSN2hB3rGrXur0XVdn59iklWEyGnJWXwbjM3Ru7eGl/MC2hrAAvHcj+ULYY1YAT693dGaVWvnpSsZaQtVgsRONJVh4MsqY+wr6OOB3hZD/LclATm3aTat8iAbedWsLCapWs1ncn+NIzjaxtiLC/I8aEXpEzKcsc6VYDz5uHQwhunpm4t5kkzhzv4pk9AZAkzh1vw203s63ez09fb0EBzp7g5K3Dfcf5kRlebFYr9T1J9rT3CXwA/zejgEnFVk14yYSwPZpXaeeuy3zc9U4TT+7u4fWDATbUh7h2aRknV5u16xiPx3E6nSSTSWKxWNbrk6sK32JUyVU8qdAe6ltoFDmyky5hOaS3Lo/H48TiCX76ZitbmqPYzRI/OL2EKo+ZhzZ3cd8WP7GkgsUo8fFZwlISTCZzv+7wXNB3rGdiqIKU2SixfJSdF/eHuH1VO4ne+04ULJiNffsRisvcu1m15fzYTG/WpDiAzWTgvEluzp7gYk1dmEd39LCvM85ze4O8sC/ISTUOLp3mYVIWGyTRuSMIp1ic6K3Ek8kkqw71cMfqdkIJBY/VwNeXFTO/0p712GVZPuq5UQJjvGaKHEY6wim2tUS1bWVC7K9+0fVekblAFna5ohI32+szbb1ywWAwHJNu8eOtInKkYDKZKCkpwefzfSD2THnkkcfIo6enh+bm5gFfYzabc4oNgz0rRBJ7KIv3gbothJMJ9MXFTL4qOmxkWSYcl7l7s5/XDgS1bmhQ+d7pY51cs6wCq3T0RV/Z4pHoOhL7JuKRft6zXnDd3hpFVqDSY6aiwEp3MMTz+yP8d3MHwV6XpdnlNj4z18uEIqtWKJbtXOpnYuq3IdxXtraq4pvDLBHU2ccnUlBTYOaWU0qoKegby5Mphr4XiC4bi0XhrPEGzhxnZ1enwoOb29jYFKUnpu67y2JgR0uEYrsTt8PGlx/bz/ZWlYeM85m584IqrOY+XjmQeC44RTYBSm/jPRBSssKzewPct8VPJKHOKLxoipuPz/LiMPfd97Vdce5Y3c7Brr57yW0x8Jl5Xs6aMLAlpMNiYGmNg6U1asFrfU9SS5Jvb4nSFk7x4v4gL+4PYpRgWpmdueVWlo4poNrVt+4Q81bFNdOL4frjz7Z+vHKGm1W1QZqCSe7f2s1n5r0/8/r0HVzHsvAu87mhTyxku0f0+zGYQPle+bbAB8Gpjgcea7fbKS0txeVyfdC7kkceeYwQmpub8fv9Of8+kIPGUJLiIok9lGfzQJqp/vkv9C+hSeRCtpE94v/Culs8e08d4+SZveq843hSxjJAwjMbv8ssIBPxSGgjoiAu832iIcNisWiuMnp+qsdAyV5xbPpjVhSFaUVGrphdyP1bOrnj7RbGFRgocZq05GA8Hs+6Pb0V+nuBnmdHo1EURSEYDGrJbgHRqS5gNpu1uezieM06Tmk0GnOOEIWB783BRj5moshh4saTirlgspu/b+hiR2uM+7d18+L+IJ+a4+W0cU4MI+CwIpKd2VyWRCGySDiPdsHXlhXxszfbeXFfD19c4GNRtZ17NvnZ0Bjhy882cd3iQpaNcg478StJEtctLsQfTbG2IcIPXm/jl2eVMdqb3ZFBYKjbsZkMXLOwkEunuvneyjbqutV7SAEe3tnDSweCfHqul1PHuoD0+1Mk3wcqMhEOq0PhtsfK+nukbc2zjb74IODz+SgpKcnp1nG8IN8xnkce7yMaGxvp7Owc9HUisZlJSiwWCz9f2cBrh3q7ayS4ZmEh501ya38XAaYjnGR1XZitTRF2tcXxxwZ++DrMEhUuExOLrMyrtNIelfjXhg5iKQWbSeKLi0s5a7yD7oSBl/aq3cWHumKEclisW00S1QUWZpfbWV5jY3KJDaPRyO1vNvPqwRAui4E7zi2nsrdj9/a323ijNsysUitVBWat8yLbA2lSsZUVox1sbg6zriHG5dM9fHJBKZ988BBd0RRfXlzIgko7X3+xmY5wivmVdj41v4gbnq5Xzxvw2FXjMSlJvvpcE/s649oM8knFNu44rxLkwTtbAa2Kcl9HjN+/06EJa7PLbXx5caHWkTwUcSabiPnvLX4e2NbN+ZPcLKi08YPX2wB45hOjB/wsfVWYrCj8Ya2fl/b1YDbAL84bhVlJ8Ie1Xezpnac+s8zKlxcXMabIkXbP6bvbByOM2QQq/YygwdAUSHD72+3s7VA/o9pj4stLitjcFOWB/8fedYfJVZbfc9v0srO9p/dKGimUACH0IoiCICKIKE1ExEpTQFSKYkQEQRH9IdJ7rwkJaSSk102yvc9O73N/f9x973xz987s7GYSQOY8T54kuzO3fLd85zvv+553swcTykx44OyR4DgO9y9vxvPbfah1iPjTadVqb0g6ZrKcpEpmOnZZlrG5I4LntvuwtiV1PtMrTDhnsgOzq03qAoK9ZrTgYQl7PCnjX5968PRWxeZ9YqkRPzm6dFArJe11JuugoRDy+z/uwZt7/Dhzoh3fnTN476t8ZTdqF0RUPZQLuRtsMZXPTOTDbXmZL/F1OOB5HhUVFZ95QPzLzqm+7OdfwOFHMpnE7t27c3rfUQWqtuo723t3qPNGtm1R0JtdlJOVNokMsixjR2cID3zciW0doTT+V2UXcf5UJ06ZVKyKjcOZ13ieV0USdt7VO3az2axWrdL7nT5nNBqx7KM2vLDDh5PH2jC92oq/r+9WK4ZHuQz43vwKzKlV+qvH4/GsgoQgCKp9tDYRwWg04sZXD2BDmyLqcEi11ZlcZsStx5enBXpZ5GvuZ88dUK7VA+s8eG2nBxwAkecQ68+KtUuAIPDoCyu8YHqFEbefUK7OT9RLMpcekXrXJZtDEWFXdwR/XtOLvb3KZyaUGnDVvBKMLk4JMR2BJO5e0YXtXSleZ5E4XDSjCGdOTH+Hsw48BO1zJ0mS2l9elmW4fQFs6YiogfJWX7oo6zILmFVlxqxqE46oMsFhVJ4Dk8mESCSSc2CU53l80hHHL99oAs8B951ShWm1RQdlcz4YDtV9BeTOp3I5hnxVXX8WrkBDaXORbxiNRlRWVsJms31m9ukFTlUYgwIOPwKBAPbt25fTZ81mc1oCPCFbZeJQ36XZ3oNaJyO2FzVpV+S6AqQ0O9omVSmTI1A0Gk07Pn80qTo1XjzDia9NK9I9DqPRqCYLsC592vmH+Cf1VtcmeLE9xfWSG6mCmr4/WCtDs1kpnCA+wX7WYDLjqucasLsniqnlRtyxpAI2q2XQuTefcz+QPkasbT79XBRFtaqcdQFgx4XaPfI8nzUwTtBzNdC2IRwKZFnGyqYgHv2kDx397pQTykz4zuxiTCrVL06hNlLURoecKNlrxPO8GtgGoJusoOVLmZ4v9udPbfHgsY194DngluPKUWYRcM9HPdjrVsb3+NFWXHtUFaxSqgUjJWBkStAghONJ/PJtpX1qqUXA70+qzNliPtd3Qzwp458b+/DsNu+A3zlNPE4fb8eZk12wiqmxzJVXDnYMuTpi5ILDrVd+Fs5HLIqKilBeXv6ZBsQLFeMFFPA5QCgUyikoDqT66ACA1WpFJBJBjy+CG17Yh7Z+YcVh5PHbpRWocxrQ4o1iVVMI27pjaOgJoy+UQDY3dIEDxpaaMKlEwtxaM6aUGyH2C1atvhj+uKoHW/urPMYWG1BXZMRzW914YFWnKnxp4TTxGFVkwNxaC04YY4dNSlVukv1kNBrFVUeWoNkbw87uKG5/vwu/WVKOj5tDaPEqE8Omzgg2dQ4UMUgIvHCmC5fNq0S3x49/bFAqho8eaQWXiOGrUx14eJ0b/9nixSs7vegJJlBfJOHniyvwzBaPuq3jxzogynHsc0exu180S8qKxfYPFxQPGhQHUuSEhL5xJUb84bQavLDDh8c39OLT9jCufrkN35pdhvOmF+c0ieoJvWSTHU0kVdt8PgeNgnr3JJNJ/ONTH97c7QXPAT8/vgbrmvx4clMvEjJgNfC4fG4Jjh9phtRvUcT29qP+R2zGZiZEo9EBCxi2tyhloGoRT8p4bpsXT2z2pNnuf3WKA1PLTahzSHhumxc7u8JYvc8Nl1nASzt8AICrF1bCabeqix+WwKl2p8Fg2mLiiBoR0ytN2O+O4tntXnywL4BNHWFs6ghjZJGEr0x24LjRjjQCRQs/IlbdwTh+t7wb27qU/Z07pQgXTXekBej1wFrJxmIxNYuTbKRyXSzOqTbjzT1+rGsJ4btzBv98vrIbtQvdeDye83HzPJ+VUOZroSUIwmElmhzHfaZEM5lMwuFwFKrECyjgS4aurq6c33U0N3IcB6vVmpN4RHaFuQaWsgV+2QoRAmud99zWPjyzzavyHEDhOjMqTbj2qCqMcCkVIslkUp3ThzpnsNyGqotIWNXbFnGAUCg0QFTheR6f9lsQftIWwuv9bV9KLQK+OaMIi0dZIfBczoFJciKiqg+C0WjEmgMeNShOSZwETzgBKRdSmAcQt5MkCY+u68FrOz2KsHZCDaaUG/D6bh+e29yDnrAMxJTPlltFXLmwCg6HVf2+tvdlLvtkEYlEYDAYdO39/dEkHt/oxqu7FHcsq4HHJTOLcNI4m1q90+WP456V3Wo1O6A4EVx4RCm+NtUJQRAgCEKaEw5VJLGioM1mU3uIBgKBAYJhkc2CI40S5tQo97w7LmLlXjfWt4awqSMMdyiBdxr8eKfBDw7A+FJD9gcaagABAABJREFUf29yM6bVOBCPDex3rwXHcZAkCfNqRBxVb8GKxiCWrenF3UUSBJ47ZMIb2ZweCu6Ta1WaNoihxefJinyo+KwFTFEUYbdnd0sooIAC/rcgyzJaW1tz/jzbp5sSL4HsgfGhvJMHs/6lnuPkjEdVodoWJMTv6LOxWEx1/SMtRm8+sRl4jHBKOOCJ4dXdft3AOBVjhEIhtRjDZDIhmUwOOFe2/QfP8+r50fpdlmV13mKroglDnRNoLk0mk2lzCp3nT44uxzWvtGBLZwTP7wrhwpn6DoQsBpt3hwrSp2gciXtR33Xi6toELatVaW9DgWUtd84GqsRnEQwGYbVakUgkhjzOHMdhUb0Vc2sseG1vCP/a0I2dXWH8+PVWHDPKju/MLUVtkUnVxWktQ1wzGAyqrRspcZQSZLX3kHbstRyRerVrrw/7869OcaDFF8PbewO4a3kXfn9SJe4+uRL/t0lZh73bEMCWjn342fG1GNfvdE3P02AulCaRx83HleEnb3agyRPDLe924ndLK2AzDq5D5rpeEnkOl85yYWq5EfeuTDl0AYAnnMS/N3nw361eLB5pwZkTHRjlMuRcKU1ODpnuAb17Z7jI13ZyxWetE5rN5s99lTiLQsV4AQUcAsiyjIaGhiFn7pMQs7YpiF+/3046EyqsAsqsIlp8MXjCSV3r8kw4fpQZ1y4og12TFZiUZTy71YPHP/UgQ0twFQIPlFlETCo3YWGdCQtHOmDu7+lD1j+yLKu9frSVMpvaQ7jtva40e8y08wYwvsyIY0ZYsHCkA5c8fUD93b8vGAeXFMc7e72456Me1Dol/OX0KnAch2hCxneeb1GF1SITjz+cVotqpxHfeLIB3f2VPH87uxqVNgnXvtKaZp343TmuAVUimcBOmqIopvWfbPXGcM/yNmzqF03HuAy4Zn6xahGfDZIkqdXOAPDCdi8eXu/GMSMsqC+S8K9PPTAIwLMXZK8YBxTS+OiaNjzen0Bw/rQirDjgR7NXmYgXjbDiijkulNuVa2Q2m1XrcG2P+lz7kuj1RWLHymAwQBRFNStze1cEy1b34EB/7/fplSbUO0S8vMuPWVUm/OqECgDAX9b04pVdPhxRaQQ4Dhvawphfa8Ydp4xQA5NsNqzWNoeuEQWggRSZbOrx4/ntHryx26/a9JdZRZw5wY6TxtkGVGJt7Y7jzvfa4IkkYZE43HB0JRaPLRp0kcAK6/Rv9mdDWWgEo0lc8FQTEjLw0FnVqvNCJhyMQCjLMjyRJFq8MXSGgAO9IbR646gvknDRjKIhHXemPkj5rLg+3JU9n2W1OKG0tBSVlbn1PztU+LJzqi/7+RdweBEOh7F3794h2+3SfEzvyWzvr6HOG4O1sWC5gNFohDci4y8fd+KDBo/KbwHAKnE4bWIRvj2nDDySqkhE3Gg473iybKS+zTQXsRXaVJ0Ri8XSArLkGEMc12w2Y22jDz99o0X9jEXi8LWpTpwxwQ7jMPsLstXoFPx9cWsvHljTk8bznUYeP1hQgvs/7kFfOIlvH1GEc6dk7tOWrzmR3Kz+ta4dj36i8Mpr55dg6VgbjEYjPJEELn1qn2qtzmJKuQlnTrRjfq0ZAs8N6d6ixMZoNKoKSXRO5EqUSCTw1k43Hl7fq1aqHzfKiktnudRWO73BOO5b1YMNbSnByyAA50xy4BvTnWryHnF5VsSmijPWVp8dVwqSax2WOI5TWwawwd5YQsa2rjDWt4axoS2Mfe70xAy7kcecWhtOHGXG9MrMian0THEch95gHN97qRWBaBKXzirCOZOdh7QiJV/3ld52htILUW+dCeSXmx3uQPXngVeOGTMmLZHpcKPAqQpjUMDhRVdXFzo6Oob8PW2lc7b35VDmjcHeu2R/zjr/UKEE256NKo6J85FWSXO1nisg4YN9Sns/APjrmVWocSiBHdYRkc6JrVymYg0qLNFu22QyqcmQdOxAqhd6vhK72Op4Co5S8C8UCuHtvT7ct7IHPAf8dmklJpUNrlXm8/goEBwOh1VnK/Z6skFv4ukcx6mcjD2GoRRqUMU26YdAincIgqA6Rg01AddisaClx4d/f9qHN/f6kZQBiedw7rRiXDDDBZtRzHjNgdS4UqESrUVYZwYKLrLuBHrHwW6XdaUKh8OIJWTc/G4HNndEUGYVcO/JVXCZBezoieHu5Z1o98fBAThnsgPfmV+JRDTVnjEXTtkZiOOG19vRG0pgcpkRvz6hPKe10VD7YHf64/jtii61LSowMIH4lsVlOGqMa0j3q969RAVW+QiXHm5HoM9Dm0mDwYBx48Z9Zi5EQKFivIACPnN0dHQM+SVAhO2ud5vxzr70F3NHIIGOQPqkIXCKLZ/TJKDdF0OgvwdhiVlAT3+g+BvTnbhgmhMcxyGZTKLJE8W7DQGsbQmh0RPLGGA3ixxqHRKOqLbgmBFmTKi0qyIVTc5kTcT2suQ4TulvHVOqIt7bF8Te3qhuQLzELGBciQEfN4eQBHDVvGKMchkgGVIEbXyJAU4himQSWL5fGZNjRtpUIoVQCPVFBvT2E46bTqhBmYVHjy+kBsVHFRtQaZOwqzuSFhSfUWnC6RNyz45nryeRFwoGlxiBO04ox9sNATyy3o297iiuf70dZ0904BsznDBlIQZE1omIGUWqGJdVsS/X6qBnNveoQfFplWb8Z3MfAKDYLOB7c4tx1EibKjj6/X7VWpQyGIn4cByXM0lhK2aI7LIiI52XNxzHvzZ58coOD2QATpOA78+vwJKxdjR7Inh5lx8b28MIJEUUGTl8bXoJXtvtw4b2fmLGA1curEyr5iGST9mn9DfZtVKfJupbSQSprsSGa4+24/xpfry2y4cXd/rQFYjjkU/c+M/mPpwy3o4zJ9hRVWzDvzf04LH13ZABjCkx4mdHl6HSlso0pgp7LfTs5LUB4qGIlxYDj8nlRmzuiGB9SwjVE7MHxnO5foFoEq2+GFq8cbR4Y2j1xdDqjaPFF0MwNvCZ7Q0ZcdGMofVBpAosbcXiZ2UXmQ981kQTAHp7e1FWVpY3Z4ACCijg84tEIoHm5uYh9wsjoQdQxCSqkiGhQ0/oytVecDAxw2g0qvv+tD2ERz9pxd7e9DlvRJEBF0534MRJ5QAUS0+RCUjTOQwnKE5zLSUB6rUvYatUKDkwHo+r8zfHcfDGRdzzdhPe25eav86d6sI5E61wmg7u/cs69RhNZjywqgPPbXWnfWZCqQE/O7oMpVYRlxyRxB9W9eA/mz04bpQVxRb9ZXy+3FgSiQSe39SpBsW/M7cUZ08vQywWQ1cwgcuealCTCy+ZXYoZ5RJe3h3A+3u92NoZxtbOMMqsAs6YYMeZU8tyFh1YQZn4PisW7usOYNmqLmzsT0atdUq4dmEFZtcqNtCeUAy/+6ANHzcGVAt6kQe+MqUY3zrCCTD3NvWwBBTeRnyc1jz0rFB1E6A8I36/X61g53k+TezVq+CRBA4zKs1YMLoEHMehuTeATzuiWNPkw/rmAHyRJN7b68XMamvGcdFa21e5rLhyfgV+/2Eb/v2pB8eMdqIUh7etzHCg924ZynuN7FbZtZMoinkNLB/OvoxsQOezRHd3N+rq6j7rwyiggAIOA4LBILzegdbE2cAmfgEDKxIlSYIsy2mVkbIs55z4M1iFo9lsTtMSKMhNGg8Fn8mmnKqBtW4z2Vr+HTvKij9+3INoQsZjG/rw82OVtjDse5rmffo3C7LHZoOgPM+rFu5UgUs8AUBaYcfBgPReIOXwB0CtWgaA40dZ8UlrCB/sD+LuFV24/7RqWA25BTDzATYBkXRCWquQpkjHLQiCaq1Oup52W7nuk86fAuRkZQ4o8z0dCxX0ULIFXWdWV6SWgpS86zILuHp+CU6fYMff1ruxsT2M/3zag9d3unHp3HIcN8Kkun/SOVBSZiwWU/XYUCikWvyTS1I4HFZ5jtVqHaAdslyILP5pLEl/MxqNQCSCnx9Thhteb0eLL47bP+jEb0+qxrRKC+4/tQoPr+/FW3sDeGabFxvaw7h+YQlGFhlyDoyXW0X86vhy/OTNdmzriuD3K7rxs2PKIAyiYQ81MF5uE3HXiZX4xwY3Xuh3E6V4xmiXhL5wEjOqzOp1yzVATA4CwWAw7T2Rr8Ibui6HC7m2NT2UiEajamD6i4BCYLyAAvKMvr4+dHd3q5ltg4F61NHLy6pjPSLxHEosAka6JEyvMGFBrQUJyPjrWjfWtijfK7UIsBp4HOiLgeeAK+cqVRP3ruzGjq4ouoJxxDPwB5eJx5hiA+bVmHHypFLwyfSeLkQcWGJJWZ0GgwFmsxkN3SE8s6UH61qC6A4OnOAMAocSM482v/K7y+e4cOLEUtz2VjM+3O/HE5s9+PkxZYhGwmrm19xahRj5o0m14mNRnUmt+HlzXxgb21Iv/e3tfkwpK8b/bU4Ji9+Z5QIA/HFVj/ozswBct6BEtVnMBWxgXG+i4TgOJ46xYU61GQ+t68XyA0E8u92Lj5qCuPrIYhxRZR7weQpIs2SYrNQjCRnesDJWFCzPhvca/Fi2UjlHi8Rjc7tyjEvH2nDpEUWwGYW0CZ7NSqRsSYIkSUOevNmMTzo/QCHjH+7z48+rOuHuP58lo6349iwXnCbFUrXUCEwqM2J7VwRv7OjFOZMdKDVzOGqEDR/uV+xKz5nsQIVVQKy/zIwCrhQgZ6vD6TiIzNEijX5HmahlTiu+OceCsyc58GFjGE9t7kWzN46nt3rx/DYvnKZUksnSsTb88JgaJKKpyjsiyDSGdN4Gg2FAprBekHyoi6A51WZs7ohgXWsIZwzidEDEOxJPos2nBLsp6N3qjaPVF1MTL/TAASizCqgrMqHSyqPaIWJkUcq6TJvlmw1GoxGBQGBAdVy+cDgD1WQD/FkjmUzC7XajtLT0sz6UAgoo4BBClmW0tLSkVX0PBrJ1ZOedRCKhiifE4bQJnPReJivGbGB7ArKgKmOv34+nt3rx0g4fPExFscABc2rM+O6cYlQ7jTAYDAgEAqqIQX0WtceUK2w22wARh3o76vVvZKuerFarKn76Iwn8d6sXL+3wplW3nzaxCN+emZ9KPuINvkgCv3h7v2rVTphSZsTtSyrUli3Hj7bitd0+7OyO4h8b+3D9wvT3P/HKfFn/rWoKYtlqhVeeP6MEZ09QRKPWIIerXzigtsK5cq4Lp06wwmw2Y3KlFd+dV4bnt/Ti1Z0edAUSePSTPvzfJg9OGG3FGRMcqHVmT+wjDKiAkYx4fH0HntrqRSwhQ+KBr09z4qI5lYhHwujxBPCn1T1YcSCoBsQFTuFvl892wWlXgs70XLBBcSAVkBcEAZIkqWIl2wOePaZ4PK7yTKoes1gsum2EKJGSOJDLCCyuN+CkcdUIhsLY55Wxar8X00v5AeetDUawx3tMnYQ3KozY1BHBn1Z149bFJYesOiNfXEv7TFMfVkpEyOWZNxgMCIVCaWvRfNpUHk7Ly3yKrwcDj8eDioqKL5T1ZQEFFDB0xGIxNDY2qjpGLu9cCtKx7yq2spdcdrQt1Kg4IRdk0p6o8pWC4uw+KAmTAq5UAEK6A5BKkCSXl8HW8XNrTPioMYS1LSmdibYDpIL91HpQ6yjJng+NG/2cAqE0bhTszEfQjAKttG+9bXIchyvnlWBHVwQdgQQeWNODGxaVZuQNVBGfr2QxWlsQt6IKcepfz7YXpcA0XVftMQ73mCKRyACXS9o2jVsmRwEtbyTXIFmWMdJlwD1njMQHu3vwyHo3Wnxx3Lu8Hc9ulnDlggrMqYNanR6JRNTta+8hOgbi9MQRtP3I6efs+oYcsEjnDQQCqtsBEMbNx5XjhtfbsbM7intXduOGhcWwGHj8YEEp5tZYsGx1Dxp6o/jhq2341hEunDM194SIkS4Dblpcjpve6cDHzSH8ZU0vrjqyOCsnHU7ChSRwuHxOMaZWmHDfym61mKfBHcOJo62gvWUrYNIDVe7H43Hd1ggHg8NdyPJ5KOIBlITLQmC8gAK+pGAFk8FETIvFgkQikTbBfmdWEVYcCGB6lRXTyyUsHGFDmcOiCgD+YBjPbPXgyS1Kf2aRB04aa8MnbUE1KG4SOSxb4864XwAoNgn41iwnjhtpTcvQtJhEBIP9fbj7yQtZBbHnEk8Cb+0L461dbdjTG0vrFU0otQg4osqEs6e4MKlSqc7+y8cdeGpTL/6wqgfVdgnfmlOGD/f7sbIxiP3uKOJJWc38mlxlhyAI+KQjilhSRr1TwsQqJ8LhMD4+4MWylZ0AgAV1ZqxqCuHprR4sHWvFG7uV/uIGgcP0CiO2dYZxwJMSqa48sgRl1kPz+nOZBfzk6DIcNyqIB9b0osMfx03vdOL40VZ8Z7YLRWZJrRzWE17UwHhcBqCM/2BWNKubgriPCfwHY0lU2URcPb8YMyrNabaUQMqqiPocUXUW/ZyybYcCo9GYZgcliiIaewL488c9WNOsLGRqnQb88KgKzKhKZcgCyqLphDF2bO+K4L19fpw7xQmr1QqnKXUPL51YopuxSIsc1tGACKosy2n3MJstSkRJkiQYRB4njbPjuJEmrGkO4d+bPNjnjqpB8TEuCadPLoZR5BGMpnqDUtYpiaf0s1wEruEQpDk1Zvx9Qx82d0QQjidVJ4J4UkaHP45WbwwtvrhaBd7qi6MrkF3cc5kEVDtE1NglVDtEVNsl1DhEVNklGITM9qdk+wqk3mOZCCTbZ5Q+m08cTvJHYuzBguM42Gw22Gw2+Hw++P3+IW+jt7e3EBgvoID/cbD976i/YqagjcFgUEUbbWCb5kYgFfjW6x1IfZWHChIg2j0RPLS+DWuaQ2ltehxGHqdPsOOSeZWIhsOwWq0Ih8Pq+5R6IrKVHeTMowfiNQSai6mSl61yYHun07zN87w6Z9F8nEgkEAhF8PJOH57c4lH72E0tN6DFl4A7lMC86vwFjRKJBJo8Mfzq/U60+RQbQ3Y2u3ZBiRoUBwCe43DFnGJc/3o73m0I4JRxdkwqM6oJetRrMx+BrU3tYfxueReSMrB0jA2XzytDKBTC5o4Qfvl2JxKykkD302PKcOxohxpITiaTKLMZcdEMJy6aVYr3Gvx4ZnMP9rmjeGWXH6/s8mN2tQlnTXTgiKqBQicLun6iKGJjWxjLPm5Ds0fhpkdUmXDdUVWoc5kQjSfxx4978E6/jaUyVsCSsQ58d7bi2kRjwu4vU3Ua8RlZltXzAtJ5Lh2f1madnim2PRFr3W80GlWxUxRF5d88h+nVVowt4lVxGEhV0rD8VQuO43DVkSW45pU2rG8J4N0GE04YY8t6bYeLfHA3vfcX2YNSojC1aMokaLLjEYlE8m5DfrgtL/PFYQVBUHlla2vrsLbrdrtRUVGRl+MpoIACPp9gA7WDwWw2q4Fmvd+xCWXkusO6edDvcgGrnUqSpM4JWk2KnccpqEnBZq07HR0j6wCjB0pAA4DvLajGR417EUsC7zUEsGSckizHzg3krEQBW9atUDsW2vmEKrgpMTRfyLWnsNXA44ajyvCTN9vxwf4gZlUHcMLodN7ABhUpETYfYJMLWC5Alulsa04KjIuiqPIESnZgHStzBVu4QmsiupfICZU4GpCqxgZS7gTsvUf3KvEaclGdV2vBEVVmvLrbhyc2ebC/L4YbX2vGgnorvn1EEcZWOAZY3gPpSXJ0Lek8tb2+6bP0c1mW1WOlNkTk4Ml+t95lws3HV+Jnb7biw31+VFl5fHOmUkS2sN6CSWVG3P9xD9a2hPC39UoB3nULctfNp1aY8OOjynDX8i68vscPl1nAhTOKMn7+YBI5F9RZMOq0Kvx+RS92divX9a2GAFp9MfzqpDoYkXqfaFsZaMFeB3INyGfC4uG0E6eWo/mAyWSCzaa4cXV1dQ35+6FQSE18+byjEBgvoIA8o6qqCpIkoaOjA5FIRNfCg3qlkPhCmYhkJ/PMxRNVokT9EU0mE9Y0evHA6h5VGCq1iOA5Ga/sSgVVkjLSbJCtEgebgUdXMIGkrATNL53lwsnjbLoV06wFoCAIaf8+4E3gpR1erG8J6gbcjAKHMcUSFo+0YskYGwwir5IFmlwummpDQ3cI61tD+PUHnfjDKdU4aoQVKw4E8NQ2PxyMnheOKTaX7+xWAqTHjysCx3FoD/G4q1+wO2G0FVcfWYzvv9SGdn8cf13rRrSf6y+sU+wz2WrxhfUWLB6V2aowX5hXa8HUChMe39iHl3f68G5DAJ+0hnH5nGIcMyKhTpCUxUoTtVFIWanH+xU+S5aK8U3tIdz5YZcqBnIAvjq1CN+cVQKrUVKtgPSqXdjeoywBYKu1ckUikVAXBcFQGC/s8OL/NnkQjivJG+dNceKbc8phFJVFDi1WSHhcVGfCX9dw2OeOoSUA2ONhvLUnZfH13OZufG9ucdZjYMVHcjcgkOU6PWuUpUpCriiKkCQJ3eEQGvuU58skcgjHZex1x3Dti42YXGbEOZMdmFcrw2a1qudN1vrxeDxnIkK9XtleR9mQlGWYRA5OIw9PJInfr+hGUgZavDF0+OPQyUtRYTXwqLGngt7VDkn9vyWLfdZgWeTaCn1W0KVx0AZdWOuwfOFwWl7mg9hWVVXB5XKpix5RFDMGxm02myqOUwZwrpX6BRRQwBcfoihi9OjRaGxsVIU0vcA4vU+oOoCsn1nrP3qfUwWGxWJRLdUBqAlluYpNVGUdi8Xwzs4uPL6xD42e9GMb7ZJw2ZwSzKpWkqIkQYDQb4dJ3IeOlY6JRNBMIp9e0ilbUcsm+9G/iXezggElA8qyDF4Q8F6DD39b3aG2Lqp3Svj2LBeq7QKueLENIg9MKc+POAgAa5uDuOvDDpWzy1AcnNzhJMosAqrtA5fp40uNOHGMFW/tDeCva3vxl3NGIxJOF3oG6yU/GPb0RPDrDzoRSwJHjbThxuPrEImEsboljNvf74QsK5XYvzqhHDMqzRAEIa2HIlX3xGIxLK434Ni6SmzrjuOZLYrItr5V6bVd75RwxgQ7jhttHdByiHqEBhIC/vJRO97vt7IvNgu4emEl5lWJiMbj+OOKNry8ow+Jft2Z45SWS9fML4VJkNOqPyRJUh2SWBvNTCARnYLT2mpmuqeojymbdEqCOZt8SuJ4NBpVhV7aHq2zgJRASyLtYPN9jUPCBdOceGxjH/72iRuza8woOkibfz3oJdIMFXrvL+Li7DNL7zoSdNl1DMvDqPpvOE5XmXC4LS8PlsPyPI9Ro0alVdT5fD5dm2Se52Gz2dLuU6vVing8nubcUUABBfzvwm63Y9SoUThw4EDWHuEUWAsEAqrDZSwWU4OVej156TsshvI+Za3PM3FRmisoMEjvf+KVlAxJLpc0l7Pf04JNuHJJQJlFQFcwgSc39+LYkWY1UE8V6mxgleZpURRhtVqRTCbVtXu29/vhnGe0mFRmxDemO/GvTz14cE0vJpUZUW2X1GRA7RhRoPVg3VSIB1HgnQLgbBIwXU9KYqWgOcvzh5MASvblVKVO+yIuR24/xFNIQ6XCl3A4rJ4/BabNZrOq01NCJaBUNZ810YHjRlnxxCYPXtnlw6rGANY0BXD6BC8umOZEWZEtLWkiHA6n2cfTOFESAWmtLAdiC5tEUUyzqaeqfOLTRqMRsVgMM2tsuObIEty3qgdPbvGi2i6pCZUus4CbF5fh9d1+/G29G5+2h3H1K234/tzinPXzhfUWfG9uMR5Y04snNnvgMgs4dbx++1IKWg83kFtlN+DuU2vw0OpOvLRTsVbf2hXFFc/ux63HlWMU484AKHb09ExSgrjWBeCzfC7zAdY5Yriw2+2orq5WOXgymUR3d7euZm00GtXEdhpbsqVn1zafdxQC4wUUkGdwHIeysjIYDAY0NzenZchQJmE8HkcsFoPNZkuzUqHJWps92OaN4HfLu7CtM33S6A6mkxMOQIlF6d09v86CMS4JD651Y0unIrxMrzDh2gXFqLRltjEkUcJkMiEcjeOlbT14d68PDe6oGnBmUWYRMKvajDMm2DG6xDRAONKSKIHn8Ivjq3H1CwfQ6ovjzg87cfWiSqw4EMCH+3ywSKnJvtsfRV9QwMZ+G/XFo+1o6fHhp6+3IRSTMb3SjBuPq4MkcLh4dhl+90FbWh/IC6YVYXN7CC0+Zf9mUellfqiztsiGEQjjirnFOHakFcvW9GK/O4rfr+jCuw0mXDWvBOU25RWcZkXVLw5GEzKS/ZNPpt4/q5uCuIMJio8pNuDa+SWYUV8Mv9+PWAxq/xsi8CzRZYU8tt/ocColJEmC3+/Hzu4Ilq3uwb7+fu5Ty4348eJaVNuVgHgolvo82QQBQIXLjgUjbPhwnw+vb+9FdyiBcFzGyCIJ+/tieGuPXyGRDrNKVOm+IvssqtJhBR4S3KnvlbaSjoi2LxLH3R+0Y/l+hVQdPcKCa+aXIJAU8dRmN97c1YdtXRFs+6ALtQ4J50y247hRNjhsqR5SAFR7pFzGMBQKqYSDKo88kWR/v+/+vt/9tuetvniaK8PqZo01u8Chyi6ixiGhuv/vGoeI+mIL7NLwenoP9h02W1crwtO9pEd02cpxEtQPpmLmcFpe5gN2uz1NNLDb7XC5XBBFEd3d3eB5HsXFxXC5XFkXfp8Xm6QCCijg0EIURYwcORKtra3o6+tLE0ZoYU897+hdzCbAEeckkIBC287FWlILs9mMcDSOZcub8cYev1pdDQASDyyot+A7s1wosUpqQg9V0BBHpH564XBYt/0QBVjp/Oh4tcdKVRoEqiKluSYSiajiFlmnx+Nxdf/rmrz4x0YvdvdXHJRYRFw6pwzHj7YiEY/h1V0KL5hYahwQwB0OZFnG89t9+PsGt8rfAGB2tQlVdgkv7/RhhqaamqrnE4kELp7pwkeNQezpjeLFzZ04adxAwSkcDg+rbUmzJ4ab3+1UOHaFEb84rhrJRBxv7wvh3uUdAJTr+6ezRqDWmp6kQONLQiMl9vI8jyllEqYcV45WXwwv7fDh7b1+NHpi+POaXvxzYx9OGmfD6ePtKO2vSkkkZbzZEMAjazoRiMngOeDMSUW4YKodFqOAv3/Shxe3exDrH0AOwJF1VvxkcRUMUKq02GqjUCikttzR8hUSzSmRmf5m7TtZe006V1rfaBPbjEaj6spAAjkJbVrXAgIdE60HeJ7v5/HKWnEwV5mvTHbgwwMB7HPH8OgGL65f4BrSdc8Vev3Tc0WmyneWz7O/pwQeACpX1runyR2KrG3Z7w0Hh1vEO9jAOLU0Y1FcXKz2ZfV4PDAajSgpKYHT6cx4fpQkVEABBfzvw2KxYPTo0Thw4IA6L9Lcl0gk1KpT0o/YNb+2+ABIr1ilIN5Q3m1s0Hmw+YUq0lkuTHMIFUKQoyCQ/o7Vm8P0EgnPnlqCh9d0otEThzcchyBEVI2JAmmkobFclbVFp5+xBQFUaX4oMNT39zdnV2BjWxhbOpWe0L8/qQoS9AODlCCYa8/mXI6VeCJb1EKV2bQPtqc3W5Ax3HlaO/7E/0i7ZV2rWNceWldQsJnuNypwobUUfY8qwh1G4Iq5xfjKtBL8ZVUH1raE8MIOpWDqGzOcOGWcHQ6bVa0KJzcrLc+he42SnNk5nwrxtMVWtC3W/YjWjKdOLkGrL4Ynt3jxp9U9qLCJmFqhFA9xHIdTxtsxvdKEez7qxq6eKO7+qBtrmoO4cl4xbDptX7U4dbwd7lACT2z24MG1vSgyCVhYr18YQ8/PcHgbrfWumFuMKeVG/GFVD8JxGd3BBK5/rQ03Hl2G+XWyOh6sDkyJ2HqB5Gg0msbVtevooeJwcqt8JDiS8xq7zfLycrXYMRQKweFwoLi4GFarNWNs5YvEKTn5i3S0Bwlq/u7xeOBw5Kc/XAEFZEMwGMSBAweyEkOakLXiEk2yBoMBX318F3pDmbdRbObxg/klOKJKqU5IyjJe2enDPzb0IZKQB60SJ1gsFmxqcuOlnT5sbAurVtIsjCKHscUGnDTBhaNrDWk2j0CqEheASiS0+wgGg2jyxPCj19sRjCVx6ng7+kIJrGwKqvuIxGVcMKMYVXYJ967owCiXhN+fVIlfvtOFHV1h1Dgk3H1SBez9k7MoGXDxfxvQ2V/pY5E4/Pfr9bj4mWZ17G5ZXKb2LWehtXzKNDa5CkFESlgrFpkT8J9Pe/DkFg/iSaUa+Zszi3D6eDsEnlP38ckBN254ox0VNhGJpDKxL6oz42fHlqvbTyRlPL6xD09vU6oBOAAXznDi4rlViPZXDhGZY4+JArYsQSdCQD36otHogO/mgjgn4pE1nXh5pw8yALuRx/fmV+Dk8U7VQoXIGS2eSMymfa1qCuKOD7rgMArwRhLgOeCBs0fg3hUd2NUVxkUzi3HpvAqVnGirZ61Wa1ovawL1vSLCyHFcmkVjQ28Ud63oRqs3BpEHrlpYidMnONTjlGUZTV0evLIniJe39yHQX93lMgs4c6Idp01wqFX9VIHHZs1pEYgmGbvz/uC3P44WT1Tdth4EDnCaBPSGErBIHC6ZWYQap4Qau4Rii5Dx2aakgKEEkLPd77R4jcfj6nOjTYChcciFRNL2hiO0Hm7Ly3xYdk6ZMiUjgaSgzRehaufLzqm+7OdfwOGHLMvo6upCZ2dnxs+wgSNWaCBeSXMgzaPUZ3so77bOEIdlK9uxsT2cFtgtNgv4yiQHzppoSwtKsvyKKi+0FcZ0vHrzAM1HbHCYBcvhqNKDqoUokMkeB81L+91RPLbRg7Ut/YltEofzpjhx5kQ7TGJKpPvNh134qDGIi2Y4cf60opzGKBOvjCVk/Hl1D95uSE+AvWCaExdMd+KHr7ZjrzuKGxaVplVnsNcvkUjg2a19eHB1FxxGHg+dVQObTgKl3vhnQ1cgjhvfaEdXMIGxxQbcuaQCNpOIJz7txeOfKi2KzCKHP51WhZoiZb0Ri8XUtQrb2gZIJX3qtVoJRJN4e68fL+70ocOvcAeeAxbVWzC72oxXd/mwq0c57nHFBvxgUTnGlZrw70/dePLTXkSYRMEjqky4bkEJaoptKidk5Q2qkmHb3wBIswhlbU8FQVATlOkZ0nIc4ptAymVJe++yjgQUHGer6YgjsWIv66JA26PxHYwj7e6J4EevtyMpA7cvrcbM8tx6uQ8HwwmOZ3omiKOz56gXAM91HOj7siwPq/LnYKviDzccDgfq6+t1f5dMJtX76XBaeQ4HBU5VGIMCDj8SiQQaGxuzWnqz1dmsnkC8hE12p8AzFT/kogNkszjXQluZC6R6e9P8TsEy1lpabztUVKF93xsMBgTDYZzzRBOSMnDGRCeumFOkfoeCktRTHYBuoF2PVw+36ppt+ZMJQ9k2HVtvWMaVLzbDH03igpkluHBq9lYslLww3BASuy4hp0HWxYkSMoxGo1rpTJXllLBBLgFDnae114NtIckmk7JJYpk4LK1daI1BVe8UvGbvaUrUiEaj2NwVx4Mfd6otPmsdIr4zuxjz6qywWCzw+/3quWv3S+6WVMxElvzkUkD3o5ZH0ZjT3waDQdFRjUbc9mYTVjQGYTfwuPvkStQ40nljIinjyS0e/GezB0lZKcD74YISzKwa3BpblmUsW92LN/b4IfHAr5dUYGq5KefrMxj03hutvhju+KALB/pSP79ohhNfn+pUq5gJxElziQMAqWs+HN1xOInKw0U+tMq6urqMvcEp2Vxr7/95xFA4VSEwXkABhxjRaFS1KtKDVgyhnxGCwSCe2NSHf2/ywCpxGFNshCTyWN8v5B032obrFpZB6O9H3eaL4Y+renKuEg/Hk3hjtx8rGkPY0xNGTPOu5wCU20TMrbXi3OmlGFFkSAuIZTonvc9oJ55PuxL45RvNkAGcP70I/9nUBwAYW2LEnp4ITh5nR3coiXXNAVw0w4l97hg+agzCbuRx/xn1KDOlXl8mkwnfe7YBe3qViXBRnQWLR1lwx4fdABT7y98urRxwrCRQsdl/mc4pVwKm/SwbaG7yxPCnj3uwrUu5PuNLDLhmfglGuRTy3hrk8N1n96PIxCORBHzRJE4ea8PV80sAKELuPR91Y1//hG8WOdy1tAJjilMkihUB2aAxZUSSSELElg1KDmVxAiikZ1VTCH9d14ueoHKOJ4514JKZDjizWDnqEc14ErjoqUb4+4PDp0904ntzirCmLY5fvdMCu4HHP86pRZE9lamsnfxJ9Gdt4aknOJuJSH2o3tzjx4Nr3YglZVTYRNy8pBajHJxqQaS1C5cFA17a1otnt/ahu/98zRKHk8bacNZEB6qLzIr1Jni0+WJodEf6K8BTgfC+cGZCxQEoswpptuf07wqriGhCxgVPNSGeBB48oxq1ztxIyVAyMbMtrNh7mSqp9Cy3iNQPZdFCNmVDyRjNlczmCwdj9wQo4zdp0qQ8HtFnhy87p/qyn38Bnx36+vrQ0tKiK0yRbZ52HjebzWl9fIHU+4wqMqj/HlvhyuK9Bj+e2OJFqze1bQ7AhFIDLpvtwqSylOBBFRN6fII4IgXPgcGraDK1HtEmlVLgnYKObC9nqt5t84Txj3VdeKchABlK0tmZk1342lQH7FL6tv2BAC58qhm+aBK/P6kSk8oGt1KntjJa3u8OJXDnh13Y3pX6uUXicMOiUsyrtcATTuDCp5sBAI+fWwuXOcWhBsx1vIDvv9CEJk8MZ06047tz9FvNaBMRMsETTuAnb7aj2RtHjV3E706qRLnTgvtXtKn2hA4jj0e/OhomLlU1RtD28GN5RDb+nEjKWNMSwgvbveq6RT1ngcMlRxTh9AkOPL/Dhyc+dSMUT13/KeVGXL+wFBW2VLBZm1zBcVxaD0ZWqKT7U+tKwPJKCibS/UO/B6AG0wnsObPVd8SRiD9prdzps7Q91uWB5eS5iF1/W9+L57f7UGYR8PevjQHih06IO5h1Uabfkc0lazPPfo4conIF2eoOJdn3cAbG85HcWVxcjOrq6jwd0WeHAqcqjEEBnw2SyaTqSKQHCuqw70ae59UCGJaX0WdIZ6KgIICM+lKua+tscyAFWSmYytplZ9on26KDBc27P3urHZs7IrBKHF741nj18xSYJZ7JJsqxY6DHW4dbca3Vt/QwlMIWllt81BjAbz7sBgfg9iVKi5zBvjvUgguCNumPeBNZtQuCoLoNUZCZkmJZDjwc/Ufb/m+wpGBtD3ECJV9QUDUYDKoBcuItrNOPIAhqQjIASAYjXtnRh3+s74Y3ojwbc2os+P6CSlSYUtdP+1xoHRIo2ZJ4I/FYSqIgrql1SUh7jiUjfvjSfuzsjqLaLuKekyvVojMWO7sjuOejbrT2u7CeOdGOb80sUp1OMyGRlHHnh11Y3RyC1cDjt0srMLIosxviUO7hTO+NaELG3z7x4NWdHvVnC0dY8aMFxQOOd6i6N8/zGZO4syEfbQhyRT447MiRI2GzZU+S+SJgKJyqYKVeQAGHGAaDARUVFWhsbEz7OfViYHsiEih7zmxWevedO9mBcyc7YDBIWLaqC6/vVkSqr09z4cLpdog8IBlMeHpjZ1qV+HePLMeSkcYBlaS7uiN4eacXG9sjupXopv6q8ONHW7F4pBWG/kmE4xIDiIkeMr2MKbuIKkxmlAEXzyzCYxv78NTmPvVz0bhCErqDCXzSqmzLHUrio8YgRB74xbFlKDPJKqEKh8PwRpLY28tMbJyMe1YqvcV5ALcel6q4ZkFVRSaTSSUSJK7Sv+nYhwv22tY5Jdy1tAJv7Pbj7xvc2NUTxXWvtuHcKQ6cP60Iclw5h2hCVnsmltmN4CUDHl/fjSc3uUESSrFZwP2nVaLIJKYRRBK+WSLEXjeq5mX7zRCGQhC6AnE8uLZXtfWusou4/uhqTCrmsm6H7IZisZgqMIbDYVjNBkyptGB1UwBWicMls0oAJLCgzoxqh4RWbwxv7PHhgtmpiZoq84lwshUR2sw+NovYF4pi2eo+tY/53BozfnFCHexGXrViBKBaitFxx+NRfG1GKb46oxyvbO3EM9u8aPbE8Px2H17Y7kORiQc4oC+URLZlT5GJV+zO7RKqHUq/71GlFpQYZRiEzFUdZp7D1HITNraHsb41lHNgfCj3L9sbk/5PixayeaIxYhc3lFxC1k1D7SVOC0yqiMtlwXO4K6sPVsCkCrUvSr+dAgoo4POHoqIi+Hw+eDyetJ/TnKcNqAFQ+/Cy7x7imVRZzTquUHDOG4zisY1uvNsQSAtKGgUOx4604NLZxbrVytkqhbQZ+8RHskFPuCJHFwLN79Seg+Yqag/kC8fwn0878cIOr9qa5JhRdlw03Y5qe8qqmWxAk8kkGnqj8EWTMEscxpcM3tOQDXBSRQfHcdjbE8HNb7WjM5ASRkYXG/Gzo0tQ1b/vTR2KwDOySEoLigM6c08yge/OceGmdxSnnqVjbbpiE4nDetahNK8Hognc9n4Xmr1xlFoE/HpJBZwmAb95rw3vNijrjXKriGWnVcHExdKqatgkRQDq3M+KVdnEIIHnML/WjERSRpMnBk8kdZ7RhIx/fdqHv3/iTkvaHVdiwI8WlqDWqZwvJXawHIL+TyKh1l6brjPQzz8ZYTsej6cFr0nwJGtFNmhOIi4JpKzTEImu7D4p6ZISUOg4gRT/pnuXOBT9Phdnh4tmFGFVYxAdgQQeXt2By2cXZfzswWIowWa6LqxVL50rjSP9nK4TieGUwDAc+9RQKASO42Cz2RAMBnPicIezZoQNGg0XX/R+mAUUUMBnC57nUV1dDY/Hk/b+EwQBBoNBd84h/Uxb6EABYbboh4JC2gAyMLSE82yuF9pK4MGSyDLtk018++aMItz4ZgcCMRmftgUxo8qSZitvNiu9x4k703aJa9H8w87bw5lfiHcYDAa1Cp7aAwHp45JrQIzVTxbVW3HS2DDe2OPHPR/14E+nVWUtbqGkU7YKlgoiWLdAPS2QPk+/o4A4AJWT0u+JT7HBXiDdAWooYF2k6Ppn4jGshkVuNWx1MelddD2pMps9T7bPPOvakkzEcfJYKxbWGvHMdj+e2+rGupYgLn+mAaeMs+OSOWWwCEnVhj8Siagum6TDEa+ldR0l2dGzpk0kJE2YND1CMhbBHSePwJXPNfS3OO3Cr46vGOAIO6HUiPtPq8I/N/nw4rY+vLhDcZf90aJSjCnOEujmOdx4VClueqcT27oiuOXdTvz+pEqUWweGIYcaPNa2gFAdRQUOPzyqAlPLDbjvo27EkjJWHgjgQG8Ed59WB4ckq/bpQ9URKXYzFAcj4IvX9vFge5R/EVEIjBdQwGGAzWZLI340MbE9LgBlQqAJi+xRAMBuNaPPH8Itb7difWsYPAdcMacYp02wK73M+yK496MD2NIvqk2rMOLHx1aj2KBsPxhN4o09fiw/EMA+d1S3KrzCJmFWlRFnTLSjzqk/welZo+cKNoNUkiTV2vqrUxxo9CbwXr/4BgCN/fYyTZ4okrJybK/093i8/ijFhoW1KzebzXh8dUdaIHJ1cwj98XV8bZoDZmngxMcKhYNNbEOxCxlMLOL7e7fMrTXjr2t7saophP9u8WLFgSAunlkEQBEE6XxC8SS++8w+NHtTk2qpRcCfzqxHkZFTA/lkJcWKLKzwx/O8Gggnyx0Sp3I9dkDJ/nt5pw+Pf9qHcFyGyAPnTnbgolll4JLK/vQq1ghE1MgymoiNOxjDtk5l4XDxTBeKbUolu8Bz+OpUF+5f2Ynntntx+kQnrP0LF+r9yJJAIqnaCjR6prqjAm5+oxGNnhh4DvjmzCJcNLsCMmM5qPYjl2X0BBPoDHNo8YTQ4omixdeDZk8Ubd4oGDdPyADcTDW4SVASIepcJlRZ+VQVuF2CRSeQkOvicHa1GRvbw1jXGsJZk3KrKBiK8KZXkWOxWNRFMNnxs1nj2kza4djx03fJboosTbMtbg9nYJzN9j0YUF+0AgoooIDhoqSkJC0wTsmWFFSjdiVAKjhKfZKBFP+hQCb9nBxW9vRE8OdV7djSHk7jVuVWAV+f6sSJY6xZ37/aXnd6kCRJ5bvDAVUnW63WtApTWZZVAVaSJATDUbywsRNPbvbCG1HmpakVJlw+twxTq6zqu516UZPAx/M8Pm3v59XlJrXtTSawQVIgJQCubAzino+60+y/jxtlxY+Pq0UympprN7Yp/55ROdBqkCziWRxRZcaCOjNWNYXw0Do37jihPKNwTCI1CUckSMq8iN8s78Cu7ggcRh6/OakGFTYeN73TqSamjigy4L6TK9QkWRIo6bqxlUxaoSiT+wCh3RfDX9b2Yn2rcu5VNhHfnFmE5fv9+Lg5jCDTXsZu5HH1PBcWjUivYiChmgRC4iBsEh8JhpIkqUF9VlxNJpOqHSXxUqoMo/MlDkSgQC4lE2oDAWwQgAKgxK0osTcSiajJncSZqA+inlUhJfJm4oomkcdVR5bg5nc78eJ2D04cX4SRA1vQHzQoATJXaFvriKIIk8mERCKBQCCgCr3sOplNHKd2TMPhlRS4YC1/sx374WzPk22tlCsOlz1nAQUU8L8LnudRWlqKrq4uAFADcPQ+NBqN4DhuQNI769hDwSaaE+ndRPyFAn2sPjOUd7q2/7QeDqZaknqHS5IEi8WC2SPMsBu64Ism8ciaTvzhjPo0J0FKcCOXIjZZjnVvouRM0uKGMsew45hLMDjXApdIJJIWiLx8jgtbO8No9sbxp4978Itjy7ImIrABX+JFbEVyNBpV1yLElYjrkH5Lx0n8m7Q8crQkTq69pnp8OBewtux0D2UaU1o3sYUiFKSnynYKVANQnakocE5tUtn7lQ2U8zwPp1nC9xdU4sTRZvz9EzdWNYXwyi4f3t/nxzdmluD08TYkmSIno9EIURQRCATUREuWk9LahcC2U2J1eC1/NCGK35xSj6tf2I/NHRH8eU0PfjC/ZMD1N4k8rphdhNmVRty3sguNnhh+9HobLpxehHMmOzKukYwij5sWl+Enb3ag0RPDLe924ndLKwZUpg/1umq5j8lkUsc/EongpIklGOMy4JZ3O9Duj6PFF8e3n96PX59QjkllprQK/KGC1jpsgkimd9nhbvuYj+TOLyOvLATGCyjgMICtQAbSiQO9TGkiYIkCoS+cxE/f6sDe3iiMgpJ5dWSdBeA4PLOpG49tVAKUJpHD5fPKcNoEB3Z0hvDoWjc+bQ/DHRr4MjaJSvXL8aNtWDzKAkd/Nn0mHEy/Cja4xRINGpsfHVOJlY1+ROIyJB5q4N7dX83e6VfG4/xpTpw0waV+j8ZSMprw4rY+dX/sNkwih4tmuNKOh+O4Ifc0JsKrnWxY2x86Hi3ZzIRSi4hfHFuOlY1BPLi2F62+OO5arli/x5lL9vRmt7IvXvm5yyzgvjNGwmlIqoIukUnq+0EEiGwkibixQXGO49TP0oQ+WDXGnp4Ilq3uxZ5ehUhOLjPiqiOLMaLIACTj6v2cSTBnyS31uyER8h/ru+CLJDGySMLJ42xqRXskEsGx9Ub88xMBXYEEVhwI4oSxYlplMmvDRKA+SCxR+WB/AMs+7kEoLqPYLODHR5ViarkRHX0BdIWAZm8MrT4/WjxRNLrDaPPF08RsLYwChyq7YnluM4rY1xvGnp4oZADhBACOw5E1Zhw7xol4LPOChixlcwmOz6kx45FP3NjcEUY4noRpEBsjrY38UEGZ30ajUe3RyVrvk2sDPRuJRAJWq3VYpIqtxmIXK3rP2eEGjcPBIhKJFALjBRRQwEGBAoBsIhigWBEDSKvKoZ+xoO9RNRBZFj63uRv/3eJRW4UAAMcBM6ssuPQIp9r2JRdkEwKoQnS4YgHLSSnRVGtXyXEc3tndh39u7EN7fx/reqeEy+eV44gKMc3ukgQr6ktMVTkb+wPjM6oy98UDUoIZO2/Jsoz/bPbg35tSCQw8gMvnunD6eDsMPMDOzLSv2bVW1ZYcUIKhmfjkZbNdWN8axqb2MFY2BbGofuC1JtB4keDN8QLueK8NG1pDMIkcfnNKParsHK59uQV7+znetEoz7jyhTLW4pqAyJa7RcdLcGI1G1UQFcivS4zWxhIxnt3nx5BYPogklwfK8KU5U20U8tK43reUMcXpfJInfLO/BzN0BnDXRjtk15jRHLAr20/xK1cgkHpKtPM3lJPJTcJvli/TMSJKk8mxWXGRBYit7zYiT0n1KiSsE6mdO36V/s0482ip3AiWWZurzOavajONGWfHevgDu+bAdfzi1CgKX3ypobZLAUEEJCkajUXWxouodCsCwoOq8bH1w9cD2/QSQNrbEKykpgTjrcILvwwGbDHEwoHXd4XZQKqCAAv63wGpApEXSPJlMJtPev3oFI1RJzDqh0JxGwUgKCpIry1DmkcGS7g92nc5WPBN3WTzKipd2+rCjOwKZS2kQpDfRd0izomRPtoIVUOZMbU/twTCcID8lJ7AgLZC0JuIzbCDSJPL48VFl+NHrbfi4OYTXdvtx6vjBs+qCwaBavc4mEhIn1hasGI1GtUBKW2TBVlxTkgJ9jx074grDXT/QMWbSatkkPQp+s4nGpD8Sd6SkUzapgtYCbJIlXRvSPsPhMOLxOEaV2vCLYyVsag/jkfVu7HVH8fDabry8w4PLZhfjqJHKvRaJRNSAO9uugM6BeCjLLykwziaw6KHClMQtS2rx89eb8PbeAGrsEs6bOrDHtMlkwjHjLBhbLGHZ6h6sagrhsY19WNsSwvWLSjK2brUbBdx2fDl+/EY7mjwx3PZeF25fUp6mYR5MQJcKpei9Qj3oaxwiHjyrFn9Y1YP3G3wIx2Xc+EYHvje3GOcdYRlWYJx9zyQSCfXftG96HujaDNfhYDg4WG5O+DIGxofEoG+99VZVaKA/lZWVab+fOHEirFYrXC4XlixZgtWrV2fd5uLFiwdsk+M4nHbaaTnvt4ACvgior6/H2LFj0/o1kK0bTWhsDztCkyeGq1/Yj729URSZBNx1UhWOrLPAHRfx87c68Nd1boTjMiaXGXDmRDte39mHMx7bg+teacH7+4JqUFypChdx+ng7/npmFZ4+vx53nliJJWNsEBkrGD3kYkmUDazdJVXjEMmRJAmt7iAi/RadbDU7WV3KAI4ZYcGF051q/xQSqCwWC97a5Umz+GStqC+bVZR2LCaTSTdbLheQgGMymdJsf8i2nO07RKJqLlhYb8EDZ1Tj5HGZe3mUmAXEk1D6s5xci9oiY5oVJAA1OElWohaLJY300fFpyTlV+QCZSUkolsTD63px/evt2NMbhdXA4+oji3HX0golKI5UD6pM4DhuwO9p7La2evDKDkU8vmJuMQSeUzNvASXb8IwJCkF/ektf2nlTpRAFaFkLK6pujiVk/OnjHvx+RTdCcRkVVgGTy834x4Y+nP9UMy56uhk/fKUZ9yzvwBMbe/DhPh/298UQScgQOKDWIWFujRlnTbTjynnFuGNJOf7+lRq8cukELDu9Gj8/pgw/mF+M+06pwl/Pqsap420wCBx290Txmw878e2n9+HNhhAi8fTnmxIT6LoRqTUYDGlWmixqHSIqrMr9QNVs2cAuNIYDWoTStWLfBbFYLC3RBVCe98HES1oAmc3mNDEv03Opfc5IOD1clpfD6SeUCUN5N/yvo8ArCyhgeJAkCWPHjkV9fX1aQhiJRgSTyZT1fcxxHGKchPtWduOrTzbjgTW9alDcIvE4e5ITT329Dr87pRaTqobW8zQTHyBRdLgOHCQ4EGh+IFHCYrGgrceDH77Wht+t6Ea7Pw6XWcAPFpbh0a+NxaJRjgGVzSSGmkwmtfonLgPb+vtez9Sp4iYQn0rjY/EkfreiOy0o7jLx+O1JFThjgkOtchYEARaLBb0RDh3+OAQOmFSiWCZSlT/1DmSvM6HSJuHcycp1+dt6N8LxwYVCsqu+78NWfLjPB5EHfrW0FmNLzbj8uSY1KL6gzoz7Tq9XA99UKUXHHolEEA6HVatQcgEKBAKqHT9dLxab2sO45pVWPP5pH6IJGTMqTbhijgtv7fXjnpU9alC8yibi3tPr8ewF9bhraQUW1lvAc0oCwW3vd+F7L7bijYYw3L7UdSQuRdVc7D2oTcQgDkzVXWzPeyBl5RkIBNSEAOLL2nmctkVjRNeKqsepfRC5ZmmvRygUUpNKadvZElXJWlMvGCpJEq45qgoOI4997gie3eaFyWQa1vrkUIAEb0pYYIMM9LNAIDCAVw5WBUdV6Nrv6QVSaB1J+2fb/xwuy0uz2ZwXu0qqVCugwCkLKOBgUFRUhHHjxqG8PNV+kOZNdi6lZCYWVDFOxQ6slkG/p4IM4hAUTM0V2eaugw0IUT9wAq37L1+gPMdJGXh8XZsa1KSWK9TfmYpMWHtw6o/N2ozn0g6EHGeGqzuQvkLjTwmfpJGx7iksxhQbcMkRSjHR39a7caAvt2AeJWbFYjF1H1QxTs5QxL2Iq9PnzGazmohIHIuSGi0Wi3r/hEKhtArzg3Gaou1kuhbaNk3UyoW4AgXA6XdURU7/Z52K2G1QcibZcRMPoYKJmdUW3HtKJX6woAQuk4A2Xwy3v9+Bn7zeiuYAp26TOArdT6yWRteU9Dri4qqNe5ZkgqklPK5ZWAEAeGxjH1YcSK0dSbMnflZRZMVtJ9bi+kVlsEg8tnVFcM3LbXhrrz/jtSmzirjt+HJYDTx2dEfwu+XdSCRTnz2YYCzbQonOm5JkRU7GDQuLce2CUvCcElf4y9pe/PqtRiQGSa4gZ9pc3lOUYEn7pyTiw5W0SImg+cBnvU74LDDkivEpU6bg7bffVv/PvlDGjx+PZcuWYfTo0QiFQrjvvvuwdOlS7NmzB2VlZbrbe/bZZ9PEjZ6eHsyYMQPnnXdezvstoIDPO9iq3REjRqC7uxsdHR3q76iagq2WBIAtHWHc/kEX/NEkap0G3LK4FBU2Ea/vDeHhNV2IJGTwnFK1uq0rim1d6QTGLHKYWG7GkrF2LKo1QMzyYs40GVHQbrjQnhObNRUKhWCz2WCVwrjkiCLs7o5gdUsIWl1vcrkZP1xUqgZKScCgSeef6xXbJw7KZBdgrBfbfAlVtOM4TrXsG05Qja3k0ANVlVA24VBgM/C4+sgSzK4y4Y4Pu9N+N77UiF3dEaWi5+Q6VFtT1WBULU3Hp61Yos9RFTtlWbKWowB0K1oIq5uDeHBNL7r6xfJjRlhw+ZzitB6YNPFTdYzedijDjp4FyliVZRkPrXMjKQOLR9sxp96pLiAkSVIXIWdN4fH0Vg8a3FFsaI9gTo2yf1p4AAAnGrC/04tWbxytvhhavHEc8MSwtyeSZnveEUigI+BX/88BKLOJqHMaUWnlUG2XUO3otz53moCkftVTuD8BgbXIrLZLuHJeCS6cXoSXd/rw8k4f2nxx3L+yE499IuD08TacPtGBiiJbWiCfrge7D9aaUz1WjsOcGjNe2eXHupYQjqzN3sv7YASzTDao2iQItvclLY6zuSZQryQCXeNcF4EkCh8OayJa7OUDZrO5UC2uQYFXFlDA0EGVlZTo1tzcrM73JMixVTtaRKNR7HIn8JfXGrC7J/0dX+uU8O3ZZTh2tF19T7OWmMTjsgWQsto9a3jhUKGtCiLrSOI3sizDZuBh4BUefP7MEpw21gyHxYRwKKgeA32XApraeWlriw+RhAyXSUC9M10Uod6bJMKwQa7uQBy//qBLDTADwNRyI35ydFkab0okEhBFEcFgEGsalXZBE8uMaa1/qCc1kNlm8NwpDry914+uQALPbPXiwhlFAz5DlbEUTP3b6g68vscPDsDPj6tGvQ34+r92qkHpU8Y78KNjqtK2QQI52wOaHXstp04mk2lVP33hBB79ROlXDwBFJh5Lx9jw4YEg/rzGrX6v1CLgqnnFOHZ8KQBF/JteKWBquQkd/jhe3unDm3t8aPXF8aeVHXhU4nDKhCKcM60YJSZOvQ9YS1O2QkcURXVNEA6H0yrY6BqSuMSu0bTnpgdKSo3H42rCJq0L2P6ZmRJ04/G4umYZDNFoVK1oTyQS6v5CoRAMUKxR7/moB//+tBfza02o67+HafsH8wweTPWLntWr3nuKqn/oWmSq2AdSlV80vmRvORRQBdbhcCTKZ7JlSclAy9MvMwqcsoAChgdau5eXl8NqtaKpqSltTmL7h2tB9ulkk07veeIFFOxkA5O0HZrvIpFI1nV9pvccW6k8XGjnILW1STyK0cVGNPRG8NouP86fFlbHiSrgiXvT8dE8QrbOLLIl9lM1td/vVwPuQy3k0SYx6IG4p57D5ZkT7fikNYRP2sL4/Ypu3HtKVVrBEQuqCicN0GazpfXcZq8vjZVegJF4GIC0IK72PqMqc3IfHQ7oXtP2LWfPiVrZsP3IZVlO45QsTyMNn46Nir8oGE6gf+vp0FQcJ/AcThxjw1H1Fjy91YPntvvwaXsI339uP5aMseKyeRWokCQ1WVbPSl17L7OW74PdGyeOMqHJ48KzW9y4d2UP6oqtGFdiGDDedF8eP8qCyWUS7lvVi60dYfxxVQ/WNAdx9ZElun3qRxQZcMviMvzynU6saQnhz6t7cc384rSWAcOBXkBY+75YOsaK6dVWXP9yE7yRJN7bF8DuJ/fgD6fXwsQPfB61fDDT+GY7JirQOhzIV7U4oPDKLxuGHBgXRTFjBuQ3vvGNtP/fe++9eOSRR7Bp0yaccMIJut8pLi5O+/9//vMfWCyWAWQz234LKOCLBI7jUFam2BJ2dnbC71eCczQREz7cH8C9K7sRTyqB4dtPqkFXII7vvtiCdl/qhZyUoVZLcwAqbSLm1Jhx5kQ7quxS2n5JCNTaSwOpHjbsz9mFuyiKAypscoF2P0T0aLIKBAKoKrbjq/2T5zv7Qrjvo0718xYRuOWESliMQhrBJhK3vSuMzv6ArV6Y+5VdPnxligMuOahOTNoeyblisEA6EWXKGBuK8GQymfDGzj48uLp3wO92dUfAc8BPjy7FaEeqnyNlfxoMBpWgUOYga5sDpLIfiazpgSpnCN3BOB5a68bKJmU7FTYRV84rxuzq9O+T0ErnqmfdTYSMFVEJyw8EsaUjDKPA4Yojy1UbLrJ2p22ZeOD0SS48tbkX//ykB7wgYl+XXw2At/hi6A4kdO8DglXiMKLIgBqHiFqnEVU2ASNLLCg1yXBYzWomJrswEzjAkKWyg8Q0LZwmARfOKMK5Uxx4a68fz2/zoiOQwL83efD0Ni9OHGPD2ZPsGW2HCHr9lWZXK4Hx9a0hdbGZCQcjYGbart5igrJ76TgzZRvqPRfDcXAg8ftQI9/V4gUBMx0FXllAAQcHSZIwcuRIdHV1wefzpbXr0b67kskknt/hx3PbvWq7GgDgOWB2tQnXHlWDYkNCtQbUgu1TTkluej17WZGUBXtMVGE8lIW8Hg8lsYz2G41GYTQacc38ElgkHlWu9B7kZENNSW00t7MBO47jsLFNOa4ZlSa10on6IlNVAFvNIkkStrT58ev3O9OswM+aaMe3Z7kg6vTfoyRB6i+urUwnvmYwGNSKYq1wbBJ5XDbbhbuWd+OZbV4sGWNDhU0cMNbBYBDxeBwv7w7i3xt7AABXHVmMsUUCLnuuWU0q/fo0J747v0rtAwmkrpuWB2W7dnSfmMxmPL+pE//Y0Ad/NAkOwPw6Ew70xfHfrV718y4TjyvmFuOoEdYBfUgp2aPCJuKy2S58Y7oTy5tjeHZLL5o9UTy9xY1nt7oxv9aCMyfZMaXMqCaHUCU4BcApqZbAcVyazTxVPQEpC2/2erCtY7QQBCEtwErXV6/aP5OIRaJvLkI/JZDSGpK9PotHWvH+vgDWt4axbHUPfnNiBfh+MZb4/nCqS/TE/oMFBV/YcaW1Gtu+J9PxapNGWHvLoeBw2ajnE1/Gyp5sKHDKAgo4eFitVowdOxatra3w+/3qXJxJCyGNkVqusXMbzYeZHOzYz1ISm1YrAqBWYLLzD3EwsvQml5ChJLTrcWVBEGC1WpFMJnHBdBfueL8dPaEEmj1R1Lv4AbotuWuygV9KXqNjoWNn5zk22TQSiaRpBMNJ/s9lbqZgOI0XO3fyHIcfLizFNa+0Yn9fDH//xI0r5har32OTHVnNTHus5I7DFsEASHPOYVttAlB5NlvtqwW1wRlOcp/Vak1z0NKuW9jkUXJtYkH9wSlgTkke2mRf4oFasPtmr7NesolZ4vHNmS6cPN6Bf3zixgf7A3hrbwDLD+zDN/qTfU067T0zcVM6zlyei29Nt6PFE8XqpgB+8UYT7j2lCuXWzGHDSpuEO08ox4u7g3hsfTdWNYWwvasVP1hQirk1A6/j5HITbjyqFHd+2IU39/rhMgu4YmHmNlDDhd7zU+eQ8MQ3xuEnrx7Alo4wmr1xXPTfA/jNknKMK029n/S07OEE7qmtwqGG9lk6WHwZeeWQA+O7d+9GdXU1jEYjjjzySNx5550YPXr0gM9Fo1E89NBDcDqdmDFjRs7bf+SRR3D++ecP6IeX635ZRCKRtBvY6/Vm+XQBBRxeWCwW1NbWoqmpCYFAANFoVJ0Yn9vuxaOf9AEAjhphww8XuGDiEvjxK43wRjTEQ+IxvsSAE0ZbsXRSCWIZXtpakqolFKx4BgzMOKRM/KFkL2YKPhOxIMs7EpGSySROGAXs7rbj5Z1K9cy5U4thFZKIxZJqcJ7sDS0WCx7fpATRqVqcUGbhUWwRsbM7iqe2ePDdOekLWxKdhiKCDPZZCtQRKc2F0BoMBnQFE7j51UZ80qpcD55TEh5YJGXgv1u8qHVZUM1H0nrTsZmJLGFlQUIxnUembNVEIgFRMuC5Ld3458Y+hGKKK8E5kx04f5pzQD9rEivZbeltN1M1cDiexKOfKJVC5011wC7EEQzGkZRlBGUD9ra6laC3N4Y2XxyNXoXQ7eqJ4uevN+mOqdXAo9ZhQDCWQJNH+fwIp4SfHFWKeqY/Ki0ISGimcaTxoaxesgbNhqyVcyKPMyY4cOo4O1Y0BvHsVi/2uqN4eacPr+7y4ah6C86Z7MDYktyrW6ZXmiDxQGdAOcf6oswEhhYmhxq5ZvDm61gOpr/UUJBPofRwWb9/kfBF4ZUFTlnA5xkcx6G8vBwWiwVNTU2qXTa9J3uCcTy0rherm9NdeewGHqdPdOBbcyrAQ6nyCQQCaoVrtvcsK1yytoJASpyjpExqE8LyAHqehpKoqJdYRC5CsVhM5YmRSASjy2y6gXdyHkokEojH47DZbGplNnFRQRCwtqkVAHBEtUU9Ru1xsi5I7zX4cffydnV8DTzwg4WlOHZkZsGH4zgkZVltizJT08ucEt9oH5nGalG9BdMrjNjUEcFjn3pxy5KatKQ9msfe2evHg6uVoPjFM4sws9aOy59vRKTfUufy2S6cNcmBeDyuJi5QVbsWxMOzVdruc0fxwBsd2N6lnF+NXUBS5rCqKbWOcBh5XDrLhSVjlHZCxMO0PblZ2M0GLB3FY8nISqxvCeHFnT5saFP6rK9sCmJMsdJe6pgR1rQ5XNuCiBIdaJzI8pyuDSWIUELqYPcpBanpvvL7/eq2aSxJvMzGl/SqqjNBL4BAx3/VvBJc+XIrtnZG8MZuP07p7xk6WEJlNtDzke8gMj23LLTjpHee1EsyHzgcVb5swm8B+ccXhVMCBV5ZwOcboiiirq4OXV1d6OxU9LZMmgIVr9C8TQUZbKA4F7dG9t2oTURjE9jovc8Wh5CWIwhCznNopj7nbF/o48Y6cffyDkQSMh7b6MFNxw1MmKfzp2RRq9WqzrN6Lk7EPdhkUyCd65A2PJSAFx1DtnOnqley9NbO5y6zgB8sKMVt73XipZ0+zKo249hxJYjH4wiHwyqnoTHQJsKyvJA9DircyZT4QPcHuTdl0pyHw1+oap2FlsOYzeZB9T4gPUCqp7sajUa1uAdI5y2UXEDV8+Q6lQllFgG3LK3H1o4g/ryyHTu6Inh0XTde3i7i8iPLccwIi+qomksbw1wg8Bx+tLAYN74Rxf6+GH71Xid+t7QSFkPm7ws8h/OnF2N6mYR7PupGoyeG297rxCnjbLhstmuAfjy/zoIr5xVj2epePLnFgwqnCUtHDb/1o957Re8ZUKr447jrxAr8a6Mb/9niRTgu4/rXO/C9uS6cNkFpTZXJGWM4OBxaJSU/FzB8cPIQVNrXXnsNwWAQ48ePR0dHB26//Xbs2LEDW7duVcvtX375ZZx//vkIBoOoqqrC888/j7lz5+a0/TVr1uDII4/E6tWrMW/evCHtVw+33norbrvttgE/93g8cDiG1ievgAIOFWRZRkdHB7q7uyEIAh5d142n+isozphgx3dmu2AyKsHgf65twz829KHMIuDoUXacOtaCmiJTWqBzKMEitsqVLG6oOiKbTWYuJE0QhAH9/Nj9kijJ9pqk7KRwNIav/ecAQrEkis0Clp1ehUqXXc06JHT647j0+RYASiUwa6H+6yUVgCzjpnc6IfHAw2fVoL7MkTZp6Al5dAzDrYagavhEIpEmsGlhNBoBjsdTGzvx2AY3IgkZBoHDxbNK8dyWXvQwlVzHjbZjVaMf4bgMkQe+NtWJb86pQCKaTsyInGlf6xQAJgvJbJX/De4oln3cg1391qoTSg24+sgSjGICyqztEpG6bPcdBZm15FaWZTyy3o3nd/jgMPJYMtqK9kACrf1B8Egi+/RUbhUxvtSI2iIjahwSKsxAjUOCZDThV281YUt/b9AzJthx6SwXJB0rKDbzmF1osVbh2iporUg8VFt+uV8Ef2abFxvaUmMyo9KEcyc7cESVaQDh16vQufmdDnzSFsals1w4Z3L2OW04dlxAZnFWr5+83j7YdwVr85kPDNbTPh/It/jrcDhQX1+ft+19lvB6vXA6nQfFqb5IvLLAKQv4oiAajaKpqUlNcLzxjbYBrXZGFkm4dHYJZlUpCVk0h9M7n97nQxHltBbQ5PxCos3BvvuzHQtbCULHTudCvRRJDKRgttFozBhUTAgGfOWfu5GUgX9+tR7VRWbdOVSSJESiUfxzYx+eZqqfK20CblpcjhFFBjUxQI8nmM1mbG7uw3WvtcMscXjivLq0ynI2mEpCoR5/4zgOrUHgimf3IykDt59QjplVZrVaOh6PY3VTEHd82IWkDJw9yY4FtWb84p1OxJNKcukNi0px7KhUsIe19dSC5ZKURMiOTyiWxP9t8uCFHV4kZcDIAw6zgK5Aaj61SBwunlmE0yc41LmWuM5gnEWPE+3vi+KlHT68ty+AaD9/LDLxOG28HaeMt8NlFtO4KDkAaNcFNM7sOmgozwHLGdkgP5s4yx4/CbbagEC+uNIL2714eL0bFonDX86oRolFPGhuQ61shrONTEkUej/XGwf6GZ1DPsfqcFip53sfdXV1cDqdedveZ4UvG6cECryygC8OfD4fmpqaMnIQqrTV9iKnADPpi2zrtVxACXpsj+RYLAaj0Zg1wSxX3SPT57Ta1d0re/F+gw+SwOHZ8+tgMBjUFjWsyyHN83pzI+2LxkVvHLTcRq8tHSWcZjr3wcaXgvJq65UMLjB/W9+H57d74DQJ+NOplSi2iBnHjJ3XMq0fWPdSveOjAh422TVbgD/bXEpBYNYldLC5V1tRngvIoYCuN6slsudF/JZ1YiXtfTBwHKc4FITDWH4ghMc2utHpV+6JyWVGXDbbhalVNnWsiNtqtfyhaoFdgTiuf60d7nACc6rNuGlxGQQd5ysCjW8knsQ/N/bhhR1KkVu1XcSPFpViQunAAqAnNvXh35s84ADcsqQGcyqHXLcLILOT0WBc99O2EG57vxPRBPDDBSU4eaJLHbN8FbMcikRSLfKtiU6ZMuV/wuFyKLxySIFxLQKBAMaMGYMbb7wR119/vfqztrY2dHd34+GHH8a7776L1atXo7y8fNDtXXHFFVi5ciU2b9485P3qQS8Ls66urkA2C/hcwuv1oqWlBRtaArjl3Q5cPNOFsyfZ1ZcS29OCgs4saDIaTu9sFrkE1nNZ1FOlxGDfN5vNqnhLAXODwYAbXj6ADf02lrNqrLjr5FqIQnrfxbs/bMPruwZmV1fZRPz7G+MQCATw07c6sLUzglPH23DdUVVpkyZbHUTjTERNr3IBGLyKgzJDiZCxwVXKDAWAfb0R3M8EoKdVmHDDsdUoMSRw4VNN8PQ7Awgc8PZ3J6Opx49lq3uwpkkhbCOKDLhuUTlm1NgHJY5sL0yTyaR7XcJxRcR8frsiYlokDpfPK8fxI4xpJIgmXiIgg91vBoMB/kgCHYEkGjS2583eGEKxzN8VOKDaYUC1Q0SNw4Aau4g6lwkmLo4quwizpGRi0lgbjUZsaAngjndb4Q4nYJY4/GB+CY4akd2eR3s/a8kVjR0ljGgto4YbdAaAht4ont3mxYcHAqpLwCiXhHMmO3D0CKsqkOvddy/s8OLhdW5MrzThziUVg+6LtSbNlaRlut/1rrveQozuPXrGD2astPgiCpjl5eU58aEvAvIhYmrxeeaVBU5ZwBcJyWQSXV1d6OrqwrWvtKLBHYPIA0fWmnH57GLUldqzuggB+UtmyuU9qif+saAKoEzzBysKWK1WVZgkEZflmlTJw4Ls7mh+/2i/D79+vxPVdhEPnVUDYOB8KIoivKEofreiG+taUmO0cIQVPzuuFhaJU6uMKQiv5deSJOGJjd34x4Y+zKsx4+bjBr7X6Npoq3Sompmq+wHgr2t78dJOH+qdEv58Zi0sJsWue3NHGDe/04FYElgyxoZjxzhxy1stSMqKS9EdS2tw5AiHKu5S8momgZWEVaqIoesiyzI+bg7hr2t70d3f5shu4OCLpsbbJHK4YJoTX5lkB8/zaQIocYRsXIEsSzNxT084gTf2+PHyTh96+5NMRV6xFj9rshNTa4pURwXidVo+RL3qKdFjqDyA5ViZ+oyyQqn2Gckn90gkZdzwRjt290SxoM6MXxxbPqSK9EwgK1Q20SCXxOyhBMb17gNKQI5EIkPq95gL8slRMyHfAubYsWMzWhR/kfBl45RAgVcW8MVCJBJBe3s7fD6f7u+1fEH7f5oL85HMNJzkOb3jzRTEpsp44hmeuIAL/9MAALjx2EosHmFWg5uxWAw2m01NBCUQr6TkOHKnYYsttMeoNw/abDbE43G11SCrm+Y6l2b6DJvYSEmY1LYnHI3j+tfbsM8dwxFVJtx+YpXajkU717P9xolz07hSxTxdr0zXn7jdUKp19bZFWiwFqAdLyBgsYD8YWIfJbAF4Spyg1jpD2RfLG8LxJF7ZE8L/behRi4iOG23DpbNLUOlIJRdon5HhOC3u6o7gZ28pbglnTLCrtvp60J73xrYQ7lvVg55gAjwHfH2qE1+f5kxL/pVlGX9e04vXd/sh8sDvTq3H1HKj6iyQ6/Fmet5z4XR9oTg+aonhvOklCAaDw0qQyITD4W6Z78C70WjEuHHj8ra9zxJD4ZXDS8noh9VqxbRp07B79+60n40dOxZjx47F/PnzMW7cODzyyCP42c9+lnVbwWAQ//nPf/CrX/1qWPvVg9FoVDOPCijg8w6HwwGLxQKrtRUP20WUanp5kIgC6NvksBmZ2u/F4/GcM9JYW8jhQBAEiKIIv98PQRB0rT2oDxD11yObJRLiZFlGsVkJdoo8h09aAnhwdSeumFuCWCymEENewtt7lKC4xAMxZs65dn6xGuy+aEYRfvZWB97c48cFM2Oodip2iGxPHL1+gZmCeKIoZhVhZFlWhSKz2QyTyaSKjKIoIskJ+PeGbjy1xYOErFjhf29+OU4YZYbFbMK7u/vUoDgAWAyKjXexicPtJ1bjvb1ePPBxFw70RXH9K804dbwd35pZBIuBVzMKSdAj+3tyAiBiTkIfLQbWtoTwlzU96Oyv5Dmq3oLL57hQapXUcWGDm0AqGE3jEU3IaOsPerf6Ymj1xtEWSKCpL5LWa1MPEq9kPNY4JdTYJYwqs6HGIaHcKoCTk2liOQn1tH8SNwVRxL839OAf65VqqJFFEn52TBlqHNn7d+vdn9pngP7Nfo4E6YPtcz262IAbjirFxTOL8PwOL97c48c+dwz3fNSDf27sw9mTHFg6xgazeeB9N6fajIfhxrbOMIKxJCxS9uPQLsQOpk+k3jtIL7OQ7rlDXdmdLxiNxjSrs3xDa71YQDo+z7yywCkL+CKB53lUVFTAarXi6gVxfNoawLmT7Wk9sVmhRY8jZprbhhI8ytRHWYtsmenUFy8cDqtVQtq5ixL2iPvQO5x6NrLHQKIecTUSAomvRaNRtb84WZuT9SOLrpCMn77Wjpb+Fi8cgG/PKcXXp7sQi4YRYuL8dHxsZQmg2PplslEnsBUvNptN7eFJ48Zu78IZRfhgfxCNnhhe3eXHeTNMaA5w+PX7XYglgQX1VsyotuLmN1sgQ+Ffvz+pCmNLRN1gsyzLaiCStRJnbVONRiMsFgta+8K4/6N2rOlPEpAEDrGErAbFDQKHC2YU49yJFjUgHg6H1fUL9QGn89KCxEs6hkyJmU6TgK9NdeKcyQ58dCCIF3b6sKs7grcbAni7IYBpFb04c6Id82oUkdRkMqncmQTieDyuJrRSm6JceYFWHNSrgKfnjvgtWddT8kQ+OYjAc7h2fgmue7UNq5pCWNkYxMJ6y0EHJyiZQRRFVRTW9k8dCvQSY/S2RRV3en1NDxb5rurheV69d+hY89naSBTFAi/Jgs8zpwQKvLKALxaMRiPq6+vR3d2Nzs7OAe9nPWtsFtFoVH13syDtMFetIB+JY2xBEVs4QFAslznVzr3KYUS5VUBnIIEnNvbgpPFj1PmTEi+BlJ27xWJRg9ksf2SPO5PmSn3WST+hXt5a3p0pCJvrHCxJkhpgt1qtqjW9JElKf3SBw41HleG6V9uwoS2MF7b7cMGscrWFIv0h50/6o+UW2nOkimYCnRcF5EmrpB7e2fiQNuBNXIt4G5C6D/XGhdYNxAVzBTkG0LVluQ/bxoj2HwgE1P7ktP7KFVquaxJ5nDfZjsX1Rjy+sQ9vNwTwXoMfKw8EcM5kB86d4oBJ5FXHUOJpw+GV40uN+NEipR/4Szt9qHaIOGOCfoAxHA6nHevMKjP+fFoVHljTiw8PBPHEZg/Wt4bwo0Wlqj7LcRy+P7cYfeEEPm4K4aY3mvDbpZWYUGlHNBrNOUid6Z7XrmP1gshFZhGnjU2NTz55JSWz5BOSJKnPhizLEEUxr9zVZrPlbVtfJBxUYDwSiWD79u04+uijM35GluWcJrn//ve/iEQiuOiii/Ky3wIK+CKCevk4HA60tbWlveSCwWBaRY2eYEk/I7vnaDSaNaNQi0xV0iy0doksSLxkhdZM/abZniyU8U+B9EQiAadJqUKZU2vFx41+PLvFjVobj6VjFVHwsTUtah9HNihe4xAxvcqiHuP0SjOmV5qwqT2MJzb14UdHV6YFCDPZWwKp3t1aG6DBQIIfWcUHg0HIsoyt7QHct7IbzV7lGi6st+K6o6tgE5Tg4Ye7u/Gb9zvTx1TkVXKdTCaxqM6EaeXVeHS9G283BPDKLh8+bg7iyrnFWDDClhaEJLLPVq2w90FvMI6H17ux/IDyszKrgO/PLca82lSvRRJ0RFGEzx9ARyCOdn8S7cEQWjwxNLpDaPHG0RWIIxsNd5kFVNlE1DhEVNslROIy/rPFA4ED7j+tGnVOSQ02K73sDbr9HNmqIgrueiMJ3PNuB9a3Ktf8xLE2XHd0NeRY9nuZiLwWucxZWpH9YFFuE/HdOcW4YJoTr+7y46WdXnQFEnh4nRtPbPLgtPE2fGVqMWxial81DglVNhFt/jg+bQ9jQZ0lyx5SYLO1D0YYHQ7JPpgkgsMBNomIFob5As/zaTbDBQxEgVcWUEB+YbPZcNaiaZjf0YHe3t6Mn9NbVFN1NZBepcnalGcDCTKDzZGDVQdr+5LrvUe1SaDpfMKkJkAST2WPnSqj6TOCIGBTh/KOmVFpUrfPzpWbO8L49ftdCPYTUKvE4afHlGHRmJKMfDsajapCHR1nNCFja3/bl5mV+qJcJBJRbc0psK7t20hjLEkJfGdeGe5d3o5/ftKNMS4Bd3ygHOfUciPGl0i4Z3mHck4ih/tPq0aNXZED9K6TNqmAxEAK9sqyDK8/gOe3e/HEJg8iCRkcABlArL+SReKBMyY6cMlMp8rdAKQJ0ZR8qRcYJ2vKaDSadixsIF0PksDjlCllWDzaht29cTy3tQ/LD/ixuSOMzR1hVNpE/OHUKgDKvUeJInTvaAPwg7ka0LXQu/6DcR+tdWq+k/NGuQw4d4oD/93ixYNrezG90gSDIT9CGms3T38Ph1fq8a1cBMV8VL8fKlDgARjc9WI4sFqt/xN2l4cKBU5ZQAH5BcdxKCsrg91uR0tLS9q7nhLKsmmOFBRkNT9y/8gFuWqamYLOVBVN26CgaKZWN/S5UCiEMyc58bd1vWjyxOCJJEBNBgVBGODGSO8Umpv0Eu/19kn9s1memkgkMnIPveB4LslXFPgnfkN6KG2HArtjjQlcuaAC961ox6PruzG5VMSkSpvaooecmYgbJpPJQed/besY2hebsDsUbY3mQO1agk160H6eLPrZcctln6yTlsViQTQa1eUfVKlOQXEaZ9rfUJwT9Gzzk8kkaoptuG6hiNMn2PHweje2dkbwxGYP3tjjx7dmFuG40TJ4LrPzZK5YWG/BJUcU4R8b+vDwOjeqbBLm1Axch7FJvASbUcCNR5fhyNoAHlijOKVe+0obLpvtwinjbEqrLZ7DjxeV4uZ3O7G1M4Kb3+3E3SfxqHIa1cKyXG3ntdBrL5ppO8Q3D7Xt+cGCteon94F84staxDOkkbzhhhtwxhlnoL6+Hp2dnbj99tvh9XrxrW99C4FAAHfccQfOPPNMVFVVoaenBw888ACam5tx3nnnqdu4+OKLUVNTg9/85jdp237kkUdw9tln6/bhybbfAgr4XwPHcSgqKoLNZlPtiugFTQFlPWtLIplEBFkySARJFEVYLBb1D1XeJBIJtLS05EQ0ZVlWqxrIRtFoVCxPMvXoYWEwGNTKAiIlFKBjhaii/sC4zSDgwulO/HuTBw+s6cG4ChtGyH48u03fxun6ReWqSEgV0RdNd+LG9jBe39mH86Y4UV+sEJFoNKoS5EwBMO2EmotIQ5XvZNdJYxCJy2j2xlFsFnDFXBcW1VsBxGAwmLChqQ93ftCFeBJwGnm1atwoKPtkj89hFHDdwlIsHmXFstW9aPfH8esPunBUfQDXHVMDklbp2ImcUwV7MBTC67v9eGyDG4GYDJ4DzplShAumOSHxMroDitV5izeOzpCMRncYLZ4Y2v1xZGv7bZE41NilfutzCdV2CSOKTahzmeA0G9SMv3hSxtUvtwIATp9gxwiXMe2eHsy6kir+BUHA5lY/7ny/HV3BBAwCh6sXlOGkcQ4IAofwIPyPxF0t2D6XuSCfmYB2o4CvT3Pi7El2vNsQwHPbvWj1xfHkFi+e3e7DCaOs+Mpkh5ppOafGjJd2+rCuJZRzYJx6lQJQib1eX0cAqkWYHnIV49jPsX0h9TCY5RDbM+pQQFvJl09YLJbPfWLA4UaBVxZQwKGHIAiorq6Gw+FAR0eHOteyiZMGg0G3FyD1RtbyOxJZjEYjzGazyitJwAiFQmhpacnpXc32XARSyZ1UTayFdv6gCiRq3RGPxxGJRCBJ0oAelFQZTu93qlQOhUKq205vMI4DfVFwAKZXmNTKDjrGV3f58Jc1vWoy4CiXAbccX4FSM6+KYXpORADUnud0Xtu7wogmZBSbBdQ5MzvcUAslqpJl51FW1ASAE0ZZ8OJWA/b0RvHLtzsQjssY7ZIwyiXhsQ19AAC7gcey06tQYskuBWjnbAqIU3B+W1cEf1jRjgN9jNhLx8wDJ4+14bJZLhhEXv0+MDB4SlyZLDdpvEOhUJpATJ+hY8rEJSgAT+M8rdqGadU2NHb78MouH17f7UeZVYDNkGrFw1bhs2ATMbIJztmCnkNJsstXX0Mtzp9WhI8OBNHii+Mfn7hx9fySvPXnZu9pcnbQBhvZCqpM0Iq3ubw/DtZOnU14yHeQmeV82e7X4eLLKmBmQoFTFlDA4YHJZMLo0aPR3d0Nt9utznGk6enpgpTkRu9CrbMK2ZeznJKCi7Iso7e3F11dXTkdn9aphbRBcoRhoZeMRvM+6ZzhcBjnzSjF39f3IiEDD61sw9XzlXcB9etmk8TofNhkPzYQbbFYVE2V1emIc5HWCqRzdT2QEyfNlxT0zsYliL8TfyZNl9WcKdh//AgD1jbbsGK/H79b0Y0/nirB3O9SyK4PcrWN1n6GTZKkIoJM56qnz+lxN1qLAFCdhpLJpMox2HuT9PPBkjPoGlAx12CJv9oET20CZC6tDXPpoz62xIi7TqzAyqYgHv2kDx3+OO5b1YOXd/rwnTkuTCk/+FYr5052oMUbw1t7A/jtii78fmklRroMAz5HLl3acTl2lBWTy424b1UPNrWH8cCaXqxpDuEHC0rgMgswijxuOrYMP3mrAwf6Yrj53Q788YwRMHLKM0XJs+x2yS4/m3uQ9rnOpsPRtvPR7uFQJmyyY0AJ4PnEl5VXDikw3tzcjAsuuADd3d0oKyvD/Pnz8fHHH2PEiBEIh8PYsWMHHnvsMXR3d6OkpARz587F8uXLMWXKFHUbjY2NA27IXbt2YcWKFXjzzTeHvN8CCvhfhSiKqK2tVQO8oVAIwWBQzWqkoDIwsEcVwWQypQXCyXpDi7a2tiFZEoXDYfA8r/YRz/ZddrInsVBbeaO1ugGAIpNybj3BKH6yuB6N3gSW7/fjpjea8M2ZTngZu3GqTql2SJhZ61AJFpGJyeUmzKm1YF1zEP/a0I0fLixVMzdp35Q9SkJqPB4Hz/MD3lcs6aWJSZttTvbc8Xhc7cPNcRzmjy7GDUfLOGqUE2IyRY72dIdx67udiCRkzK21IJ5IYENbf29yiR9gTUOYWWXGstOr8MQmD57b7sWKxiA2/ncvLp3lwoljrAO+w3Ec9rsj+P377djRrey/wibiiGor2n0x/PiNdrR4omq/Gj0YBA7VdqXqe0SJGbVOAyqtPGqdBrjMomqTRckBAIBkDMlkarp5eacPzd44ikw8vjG9aMD9QIFvAiVR0MKDhNLX9obx0JpOxJNK9fTNJ1RjfLliuZMruc2EobQUOBRBWqPI45Txdiwda8Pq5hCe2ebBzu4oXt/jxxt7/FhQZ8G5UxxqYHx9aygtCSMb4vF42sJCm23MZqZmqnCmRSQtcmnflC2caaFAP2f3R1ZlZD+mZ5XLWmpRRvqhEDAPZR+gLyvRzIYCryyggMMHm80Gm82mVnQQp7RarapIRu/wcDis27ePBEur1Qqz2aybrR6Px9Ha2jqkIBD1OgQUTptt/mXnZ5pLzGazamcIpOYMLSh4SVaVxKl5nlcrOre0KGLg2BIjKlx2dbwSSRl/Xe/Bqzs96vZOHGPD9+cVw2wQ1WMgm0gKZEejUVX80lqyb2xTxLkjqlMCMHEdbQUQ8SuqHjIYFFGK9kfXSxR4XDTDiVvf60I4LqPUIqDGYcBLO5XzKjYL+PvXRkFI5CbaaC3Ow+EwPOEE/rGqG2/tHWhxyHPA0nEOXDG7CDaLacD6hIQsFmyVEvFydt8U6KaKK3IOypa4R/sg7mAwGFBmFXHJES5cML0IERgAxNLEaBpr4vhky0/7y4RsVp20zVwTLgerhB8uDAKHq+eX4GdvdeD1PX4sHmXFrLqBwuZwwHJ2SqhkhUGW82XiQmazWU1coTGgnq3ZxGd6nlknBVEU1URsNlmFve8oMEHuU5lcpA4Gh7qa+8tqeZkJBU5ZQAGHD1Q9XlZWpha3hEIhBAIBmEwm9X1KQUQ9W2xBEGC1WlWtkt7/Wni93pyD4kAqYEQW4dmCXMTbKFApCAJCoZD6/ibLdYHjML3Kgg2tQXx4IKAGxulzNI+oXKyfH1NSGM1VNB7EDWkbbMU9aZIUEARSTkjkREI8QS8RjdrDUHIr6ZFssRTpx1QkxNqgs8F1juPwo2OqsL2zAa2+OB7d6MVVc4vUeZWQa+skLf9jW+TE4/EB8ybrLqA3R8fj8QFFY3T9KdGWAuWkX5GFOhV6afvD64Hl5LSWIB5OGhgl51J1OF17CrxTq09q45SN7+m1e2ShbWe4qN6KuTUWvLjDiye3eLC7N4qfvNmBRfUWXLmwCs6DKC7mOA5XzitBhz+OTR0R3PZ+J+49uQouc7remkgkMmqsZVYRt59Qjhd3+PDYBjfWtYZw1cutuGZ+CRbUWWAzCrjtuHL8+I12NHvjuOmtVvzq+FKYRF63JRGtzWj9pgfSKIkPAlCToLPxSiocYt0k2DZWiUQizf2W9kXrG3KdBfJfaHOokmcBqO+nLyM4+VCO7OcMQ2m+XkABn1f4/X7s379/wM8pw44NhOf6YvN6vWhvbwcA1bI7F3Acl5PdMAmCVqsViURCFSH0KiuoIn5tkx8/fb0ZI4skLDu9GhCNuPr5fdjfF4NB4BDtD95aJQ6BmPLvv3xlJMaXmlRRkew+RVHE9s4QrnxuH3gOeOD0atQ6JXUCI3LJZpOSAKa1kaRj1E5y9DNtRStLDlirIHr1tnhj+OlbHXCHEphaYcavl1Tgno+6sWK/ImAeUWXCr0+oUAOHgiCoEzuNuyAI2Nrqxf0f92Bvr/KzGZVmXH9MFUoYq8R9PuCaFw5kvVaAImpW2pSq73qXCRWW/mC4Q0KpRYBBklQRirV8ojHXy36kcXCHErjixRYEYzKunV+CpWNtKhmnMaTPWiwWdUyJ1MTjcfR6g/jjxz34qFEZ16NGWHDtkSWwGJREhlyC2oMJlEOpGB9MtMsHZFnG1q4Int8RwMeNKbuuSWVG7O6JIJ4Elp1WpZu9qQc961paDGkJrd71HCwTkl0cZsq6pCAMK1ay+6Ygg5Z4EvLRY4xFLjapB4MxY8b8T1mpf9k51Zf9/Av430Fra6uuzbooigMqd3JxvZBlGS0tLapLzFBEAT2BTwvqBU28jRIZ9fobk9MS8WHie5SwmEwmVeGRRKrfvt+KN3Z5cP6MEnxnbil4noc3HMfPX2/Gtk5lLuI54LqjKnD8iFSwlHgR2dxRUh+JZBTwZeezH77Wht09UfxoUSmOG5UKGLIchJ2vyXGJbflBvJC2G44ncfO73eqxWiQOwX6eXOMQ8adTq2CUBHXbQKoPHvVCpyQ09pqYzWYkEgm8sr0Xj6zrgV9zWTkOOGaEFVfNK4alvxJbb57W6xlI9xbxSuIGxP2098Rg6w+q2KJEPRpP4iYU9GYriagfo5Yb5XJP5sIfcuUs+arizoQ/fdyDN/b4UWMX8afTq+GwmnXXY0OF9vyoIoqEYFZc1O5vMM5NSSPRaFS3hyl7DFqXCNo2rZMDgUDGa5HvKp9881QWkiRh/Pjx/zNW6gVOVRiDAv43IMsydu7cqTsnUpUy/WEDVtkQj8exf/9+dU4Zyno9l/cw9eml46FkUe33dnSFccMbSjuau0+tx6xaa1phAc1tZOFNHIuS+ohjULUra0dOgVp2DiL3SUqOpEBvMBhUty2K4gArdz2epdVYtH256d8UgNZaeG/rjuEnr7dCBnDT8dU4Ybwrbb8sBwag2q1rx5LVlbTFNOTiRP3G2XYkhGw6rHYMyBmV+AdpU3r3xGA8hM6LTfwjVwCj0ZiW2Epjz/IPbWLeYPdkLp/JxFncoQT+/Wkf3tzrR1IGJJ7DWZPs+NoUp8rPhwNfJIEbXm9Hiy+O8SUG/ObEChjFwft4a7G/L4p7PurGPrdy7EvGWPHdOcWwSDyaPEqxlj+axLxaC35+TClEXnlHsMnQ7L2pN1aDjR/p8tq2SdpzoXUc3RvsfUIJKJRIoudGkW9tcSga9VBRWlqKysrKQ7LtzwJD4VT5N6UvoIACDiko4G0ymVRrbLPZnDOx1ANZobP/FwQhveqXAU0SlBE1GFgLRiIRlElFWXo0sdPkXmxVyIcn3G+tk4zhl4vL8INX2xGIpohFLKlMYKOKJIwrMapEirXD5jgO9dYkFtTbsKrRj6e2+/GL42vU49JmtxGRIjGHRabJSBtkJ1B1fTKZVEksVfs3dntx0ztKUHxsqQm/PLYUEidD4lKTst3Aq5bfbMUOO3HHYjFMrrLjz2fZ8Ny2PvxjXTc+bQ/h8mf24eJZpThvejGMkoj6pA8Sn+rJXmYRUO2Q1L7fNXYRdS4TSs2cSkDoXqDrQpM/S4SpejeXHqH/3OhGMCZjXLEBS8YoIjBlh5LYRdsh4kP9Nf1+Pxo9cdz5YReaPVGIPPC9+RU4aZRRzQjWVmNlQi79HnMhM9l6o+YTHMdharkJU8tNaPG78NTmXry/L4DtXanFwhOb+3DDojJIwtDfA2wyglZs1FrsDkY02TFhnS20yKWnHz3HhwOH0uacKvoKKKCAAj5vsFgs8Hq9Kp+kP6IoDotXchwHg8GAvr4+AKn3XzbOyFpsDgZWXKIAN1mn07YoKSsYDKbZp7P24/R7EipJoFzfrPCbKaVKwHl/bwg/erkR7n4+6jTy+M0p9ai3pQKuFJAjoZMqVEKhECQmmZAC8dFoFP5IAnt6FD45rcKYdo7RaFTlX9oeiDQnU1IAa4np8QVw5wdd2NYZhlkEwnGoQfFJZSb89sQy9XqQK4DJZErjdFQpRXyA7oH9vRHc82ELtnWlc2AOwPw6C6450gWHKV1a0Lue5DxAonEsFkMkEhkgGrJVRNrvD5aUSxyeRCviMJTESUmXfr9frZBgv0MuArn2Ps0lOTLXKvBDHej89iwX1jSH0OKL48nNHnznyPxzE0EQ1Coe7T1M111rZZoNVPkNpILfetDeL2wlEQVU9BwLvogo9BcvoIACPo8g/kAJdfQnUzV4LqCKX5r3iTPqVaETaH+56A2k91ByIAVyqY80aUIz64rgMHbBG0ni7+u7MLE49Q5m24gQn2AD2vQZ4jCkbyWTSQQCAXW+opYx9Bkq+CC+RFbPbOBZC71zjsfjqjMTq+uQJks/Ix4LpHRPSZIwd4QV508P4YlNbnywtw9HVksDApR0PGazOY1XBoNB9Zz0Co7ILZD4oDZoqf289pwp6ZHGKRKJpCUGEMfLBPpONrC9xVn3IuIUlKBLx08/o8Ih2sdw+2XrIVNg3GUWcPX8Epw+wY6/rXdjY3sYT2/14u29flw0owgnjrFB4IfOH+xGAbccX44fvdaOXT1R3LeyBzceXar2MgeyV40TRhYZcO/JVfj3pj48s9WLt/cGsLkjgusXlmBKuQm3HFeGX77diTXNQSxb3YMf9Lf+odZbWg5H9vY0rlreqQcqzKFKf71kS23LBwK9DyjOQK5WWhwKjlZwtzw0KATGCyjgCwaO4zBx4sS8vmi1EypLDLQkNpFIIBKJDCsDnnq4UJUxCYYUHCc7pUAgACOUic0TSUAyGBCLRjGixIZahwE7uxUxpcQioCeofO4nx1WrYh/bX5Kt/jh/qh2rGv14d48XFx5RigpTMs3mhCUsmc4vUzUyjYsWyWRSrfYmS6VwOIxAnMPN73SiM5BAtV3ELceWosxpRSgUgoEJbBZZRNXuiEC9jlgQCfv6jFIcNdKOez9sw4a2EP62tgvvNXhx1VwXZtQV4ZeLy1BuN6LGaQSfjA8gVFqCS6Rdj3SROMVaE+mBjnVnd0S13bxibnEaiaJkBhJp6f6mv0OhEN7c48eDa3sRTcgoswj46TFlmFBqVMef/tYbHy1okTKYsEoLokwB8kPdM5p1GaBxqUEQ1y0oxUUzivDiDh9e2uFFLAl81BjC9q4WnDXRjpPH2WE1DMzgpGuZaXz07nvtNcmlmo9ANl2DEWQSLtlMZrq3yE4s18XtcEHBjUNR3VMQMAsooIDPKxwOB5xOZ17fUeycSYmBQKo1CruvTBabg4EqvmlfrOBGcwfrXkLtcajVDomLJIQGg0G44xK6gwlIAoc5I1xY3RjALW81q0mYE8tNuOmYUjhNqVY6FKCmilayZDYYDKrASBU/LDZ1RCADqC8yoFSn1zfP8xnnZIvFou6DeGssnsAfP3bjk7YwJE4RsEJxhRvNqTbh1uMrYLPZEA6H03qS682rNH5msxmxJIfHP/Xgv5v7oJUV59RacO08F+rKnGnckYQbvW2zPT61QhRZxWcTMHPheMQfKLBNfJWSE1hLTq0oDCCtSoks8LOJUVTxxY6rFpSgoW2/pPe5Q4kSuxnXLCzHr95tw9NbPVg6sQQVw4yNU/Wadl1Ia7pM50Lipra6KhNYrk5JsINV1pOISskddH1I0KZn/1CKjMRfD0WvyS+zgFlAAQV8vlFXV5f3dS/LoVjOSEFyAs2xwylcIKdJAGoFMAB1bo/H41g6vghPb+7Fto4QEjIHob+ghVxSbDabGoSOx+Ow2WyqUxEljREfCQaDamtKSt6yWq26luLEVcgNJ9P8l2nO0atcZn9H+6UxpP2TthoIBHDpvEpU23gc2+9wNFgQmwWdE/EGdm1AnBZIBTVpjtOejx7HIsdP7XGwCabZKpnpmmQDa61vMBjU8yZeyfId4s/ssbD7yCXhUtvqMNtnMq2hRroM+P1p9Vi+141H1rvR4otj2epepf/4bBdmVg3dybDaLuEXx5bhl+90YEVjEHVb/PjOvHK1ajpXziMJHC45woU5NWbc+1E3Ovxx/PTNDpw/oxgXzyrFjUcncccHXXh7bwDFZgGXzTWk3TMsKOmVguaCIGTllawTFOnPrL1+JrC8k3VvIJ6p5aWHQvs7lHoi3dNfRhxaRb+AAgrIO6g6Jp+wWq0ZF9jhcFjtdUOVN8MBzyu9skmMIlLGTj4UXOY4Do7+oF5SBnxhRTjp8ASxuztFcikoPrbYgFor1OOjIDRl6hHGFBuwqN4CGcAjq9tVMYcq18m2kYQaPWQSULIFWEOhUFpGZyTJ4RdvNKPRE0OpRcCdS6tQU2JXA7FsYNxpHNg3RS8YS+QrGAyixmnEr44vww8XlsBu5LG3J4Ib3mjH/ctbMGdEMcaWWsAn42p1tSRJqp2VHrLdbzT5k1CrBdlzJmUZD61TrFqPH23FxLL06igabxI8acySySSC0Tj+sLIb93/cg2hCxuxqEx766mg1KA5ArZgiYjyYZTUJY9mqeGnBQjatrP0XCfuHWsAkcZqsIdlFYalFxKWzXLjn5JTlTW8ogb9v6MMlzzXj0U/c6A4qwjlVqwWDQV3Cx1aF6YGuCQnK2aCXREDioNVqVe9f7Xiyi1raJ4ECGmaz+ZD3vqE+s/kE2weSFpeHw2mggAIKKGAwkDV5PlFSUqK7Tba/Of0ZbtCIuFsymVSri7WiBmXz077ZvtPxeFxN0KQ2Liv3KjxlUqkBj69rx8/faFKD4l+Z4sJvl5Sj3JniOhR0J65DNuAkZlFlMlXpsNjYrvCnGRUDf0fHmAnUliiZTKri658+asP7+3zgAZgNPDoDyly9ZIwNtx5fAYvFAr/fr1bxEmRZ1uVCZrMZ7+/swrn/3IEnNUHxqeVG/P3sGty6uAy1pQ517KlKymQywWKx6LqlUB9NPVDQHoB6bbTIJSGR5eokXJE9PHF9FqFQKI33k+UpADW4nmldwB47JfFl+wydnyRJaqsCs9msJvMeiv7iLKLRKOZWSZhfZ0ZCBn7/QSsSyaG1AyKnsmg0imAwmNFdLBtozTaYGM1WrxHoPcK2eBAEIW082fcaVZKx9wX7rLI/yzeIU+b7HcvySkpMOJTtgAoooIACcsWhCN6Ul5fr/jwWi6VxStIrhgM2UZ8SDym5kfC1SVZwAGQAT252qz9nXRWJb5LrYigUUt/Tfr8/a2sR0iIp+ZF0LerhTcmDmXhUNg0jk9ZH2yT+TDpaNBpVkxktFgvisQhOmaxUCGsdYdhrrqePUdU2zcVsiyDSSUlzo0IpGj8KOmaqzKXAtxas2wwlOWY6/1xB22A1Qr11jPYeZHuOU+B8MLDfyfYZGiODwaDyIHJD4nke82otWHZ6NS6f44LNwGN/Xwy/fKcTv36/Ey3eoa/BplaYcM38EgDAE5/24qUtXeo1HGqBydRyE5adVo2Txjsh92/vquf3odIm4qp5xQCA/27x4tnNPVnHLB6PIxgMIhwOD6qx6d0rVAhls9lUvk8aucVigdVqTfuetiqdXNbIAQE4NO9Bulfz7ajJtuEl/ZnWdl8GFALjBRRQgFKFWlNzSKtfWVGQrdTQguy0JYGDrT843hNU7FFe3eVDEsBol4R5tSmScPGsEpUIUJUCiUvsy9xkMuGC6U5wAD5qDGJnZ0DNDmMnWqoe0iKbXTjbP1ILOq5oNIpoPIlb327Dzu4IHEYevz6hAjVFSi9lCn5ajCnxrcioVAwZjUYYjUa1zx4LbU9Esmw/YbQNfz9vNI4daUFSBl7Y4cNlTzVg5b4+AEhLTggGg2omKYlKNDmydkosWIFZe64EGpP3GgLY2R2FWeRwycyiAWNE+yJhi7Iq93b6cMPr7Xi7IQCeAy6eWYRbjiuHmU8nm7T4IGQK1LMgATcXUCYomyByOARMLRmhCjcWo4uNqHUo98xp422od0oIxWQ8u82L7zzfgt990Iad7d6s+6EK7cEwmNBJ4qMeYrGY4gZhNKZVGBGJZZ+7UCgEq9WqktFIJIJQKKQudrNZaR4MaMGZ78C4xWKBz+dDY2MjduzYgX379mHPnj3werNflwIKKKCALyKMRuMh7VNGNnYU0M4mgpDASaCMflagIg72abuynd5QEv+3yQMAEDjgJ0eV4nvzSmA0pNswE2+mwCoFwNhgcyKRUOc+FhvblH3NrNRP0MsW5KL9Ul/1f21045Vdim2lQeTgjSjHeM5kB244uiKtEigSiajjRsFZbdDXlxBx2X/34Ncf9iAQS821E0oN+OuZVbhraSXKbMp3KCBOf4BUUi0lqFICnBbauZbGbChVNXogW0Ugta6gnpmZoOW4ZB9K2yMb+2wgG89cj5GSREKhkFrxcqhBDkDfm1sMi8RhR1cYb+7LLVGPrYjJlhCcS49JwmAJptn4GNsqgap+SMgLBALqd6lSjbX1DYfD6vqHrHMPBa+k5y2fIiY5Ybjdbuzduxe7d+9GQ0MDGhoaCsHxAgoo4H8SxcXFh9Qpg3UZoaC4HiwGHqOKlff567v96nfJMQhIVQeT3kFtB9ngE+l32jmOgvGkfZBGwyY1UsBaD9nmsUxaL7WcIX6bye6bClio6IL2xTq5mEwmtXUkC3JTAlKuMQAGBLuJGwGpICBppNSikoor2LETRVENBBMosZFNkiPHKBa5JOiyAUkKQmsT7liQ6yYLdn4OhUJZWw4SqLhkMFDSAfEgKkhT2w8IHM6a6MBDZ1XjjAl28BywujmEK19qxcPreuGPDE3TPGG0DV+f6gQALFvdg80dqfuR7tdcYDAY4LQacc28IvzsmFI4jDwa3DFc92obwgkZF05XekM/tM6Nt3b2DLo9o9E4KP/MdM1kWYbf71ddhtikG/od6+bJapUUTKZ2AKRn5xvU6jXfGrTVakUkEkF7ezt27typcsrW1tYvRXC8EBgvoIACACiTUj5FTJrASXBjbUXo5UoEkSYOEpNIpCgyKa+ovlAC/mAYr/WTzwuOKMPtJ4/AtEolQPjQ2h70+sPqPlj7PurHTv1dRhYZcNQIZUL7v0/71GB3IBBQhRFAf8LUE/VYaAUtOj+137LJjNveasLGtiDMEoc7l1ZjdKlFFcNIvBOR2nexOUWwiewEAgHYbDZ17PRsJykrssgk4MdHleHW48pRZhXQ7o/hlnc7cfeKbnjCAydUEjMpQCiKomoXRH0zqQqIRSb7S57nEYwm8fcNSkbt+dOcKNZYhrJW7SRsJZNJvL/Xgx++1o79fTEUmXjcfkIFvjbVCb4/s1QrMmn3nUuWZTZhbzAcaht1AOrig4Ve0H92dX9mb0LGstOrcMtx5ZhWaUY8Cby914+rXm7Dbe91YktneqUUCYW5ZHcOZlsJ5Ja9SPcWKx5TtQ8FFshClv6wyNbq4GBBY5NvAtjY2IgDBw4MCIQ3NTUNaiFaQAEFFPBFRL5FTOKVxDf05m8Sy6i3dKYkRwBpwWGLxYJEMhUYb+6voCgy8XjwrFqcPEWxCaQe1NRmiOYiqtqmPuYk4JEYCqRzhk5/HK2+OHhOqbzQg975Ub9ythfks1t68fgGRSwSeSAcV+avK44sx+VzS8HzPAKBgG7QlQRI4hVGkxl3r3Tjgif2Yr8nJeCNKpLwt3NH4d5TqlHjSI1ptoRRFhTA5DhOddwhLsn+m0DBdKokYpGLGMQmytL1oOPIJDDqCaPsmCUSiUGdhoCD4w+Hw0mGxq/UIuKSI1wAgEfWdsETyy5ikm1kLjyQ2gpkA133wa7nYONJ1ppstT59h+d5tbKaWi3QHxbUF/RQ2Kqza958IZFIYMeOHWhpaUk7l2g0iv379x/ypN0CCiiggMONfBfykLW5KIppvIp+R6DAFxXeiKKIr09RgnW9oQSaPKngqFYzA9IT/MhhhfgJkHLtIb5K72/Wqpv0ObZSPNN8lY1H6M2nbEEK6aXUvo50QHLeoSKGaDQ6QL+gtoh0rKQZ0h8tJ6DCH+3cSC0oM4G4GuvKRAU9xJEpME+BcuIbtC+WV5LjUzaIoqheTxobOp9sHEUbHNZrX0oB/WwYbpIoJQ2ycBgFXDG3GH8+vRpzaxTnoBd2+HD5C614aacX8SE4CF04w4mjR1gQTwJ3fNClVp9TJf1gx621gV9Ub8Wy06owu9qEWBJ4eJ0bWzujWDpOqSa/e0UXNrVnvr9zSSDIZd1CbSf1dGT2GSQ3Tj3HnlAodMgCykMp7soVfX192L17N7q7u9POxe12o6OjI6/7+jyiEBgvoIACVLhcrjRrtuGCJjmymNT2mqRJy2g0plkesROQKIpwWZTPBRM8ljcG4Q4lUGoRcOxoB+REDLcsqUGZRUCzJ4p7VvbCZLak7Zv6h5AFEFWVX3ZkJXgO+Lg5hC2tqUAVCSOZbFoGI+JaEk2iqSzLECUJd73bhJWNAUgCh5uOLcdIp6AKrQBUoiwyuym1KqSSJleyp6Rx02Z0UgYjVQFRBfbCUU48eGYtzppoBwfg/f0BfP+lVrzX4E+btBOJRNr5ky0Nib9EholUsBlyNNYsiQiHw3hyixd94SRq7CLOnOhIGzPq8cdxnEo0YwkZf13bi7uWdyMYS2JquRH3n1qF6ZqqKi3Z0iMI2koxPQynOjhXMTgf0COVtOCgTMWFI5WMzfWtYZiMRiwYYcdvlpTj7pMqsbDOAg7A2pYQfvpmB254ox0rG4MAx6f1ZM22f1ow5ovgae9bCmIQOSYromyWSV+knt2ZMpFlWcaBAwcGvQYFFFBAAV805EvEJNGLkgi11m5sdTFxFqrioHYx5LZCVaFsJQAlEr66rRuBWIpHTK804/++MR5jyu1ptofUskWWZdXJh+we2UQ/IGXvqA0AbuwXdiaUGmE1ZB4fSsikQDGJNYDCn17b3o1lKxXBgueAeBLgAFy3oARfm65YEGrFSKq2IV5H4/LIx6046ZEdeL8hxYsrbSL+cEoVHjp3FEYVp9qfkJU2O/6ZQP3d6bORSASBQEAdG1EUVS7MtsIhngtgQCJdJpAdeTgchtFo1OWFmaqy9eZpLc/IRYwablByMDE4X2Cr2k8eZ8PkMiPCcRn3Lm9VE0vonqCxIlF7sKoqeq4Gq1qmbeeS5JhryyI2aYHcAdgKOOr5mot96aFAvgPj2YIijY2Nh+VeKqCAAgo4nMhXIQ+5bpAewWo6bLUr26qQEjIFQcCiEVYY+1sf/nOjVw3KUrUuBWMpcEvchiyZ6WdUQEPbpiA99UqmYDWBEsFortbOK4M5n7BzOLlRslotBYnZADJZTAPI2G6SqnTpHIiz0xyvnevpPMl+mqy/c0m+A9LnU7ZFE13HcDiMZDKJeDyuBscpKY7Gj85Dq31qwTp/SpI04FyyteDUXgvt9QQUTjZY8dVw11HZeEedU8Itx5XjV8eXo94pwRdN4q9r3bj65VasbclN8+M5DtctKMGEUiP80SRue68Tvv7Kc+L1tG6gZAVKBKBnS7ufYouIW48rx/fnFsMocNjYHsZH+70YX2JAPAnc/kEnGtwDEy9pjTQYZ8zV1QlIT6algDg9LzzPq62jDofbkxb5Drpn4/fd3d3o7u7O6/4+bygExgsooAAVHMehtLT0oLbBVp/qiUNEUKxWq25gka2wcRiVV1SXP4zntylC3VmTi5CMK8EzE2L41dJaGAUOa5sDeOCjFtWyjvo/k1BJ1Qscx6HUkMCxI5Uqpn9+0jvgGKjSR4vBBCGaHIk0kSWz0WjEg6u78U6/Hfgvj6scEOQlO/dEIgFwqUBohT2dgFH1DBFwEv+oPyFroxMIBBAIBFTLQ6MAXD6nGHefXImRRRK8kSTuWdmDW97tRLs/vde7HogYkIU4Bf61BISC0ZIk4YA7gud3KHakVy2qhNVsVBcGLPklEbvTH8dP3mzHSzt9AIALZhTjjiUVA6rMaSxYkF0Si0y9iFgMJwszV+vxfCBTn03qeRUMBjHexcMocOgNJbCj3a8uYCaWGfHzY8vw4JnVOHmcDRIP7OyO4s4Pu/C9F1vwwpYeROKZxTMSanNNAhhKBT4rYlIgg86TFiDZnrlDOf6H0zIomUyioaFhQOVPoZK8gAIK+KLDYDDA6XQO+/uUNEfvRr2AG9nZiaI4gL+QCEVzGVuBTI4poijiyfWt+MOqlEXf+TOKcdfSSiSjIdW5hQ22k80eWV6SEKp3fGywnvAp9RfPYKNOYHsgExckEWZ1kx9/WKkcMwcgKSvB8ZsWl2HJGJtqu6kV3Oi4Ca9t68Kpj+7Avzd5QIUiRSYBd59ai7+fW4+xJQbV0pMC2sQrc5krM/UwJySTSSQSCZXTaUVREq1Z+0JWaKMkOla8pAC83vFlE10HS7iUJGnQwHculpx6ONy8A1BEzWvml0DklcTKN3f0qtea7m1goKidCdperFqQAE7rs8GQKbkhE4irsoEO+psE02xC8aG8BoczmTMQCGDPnj3o7u5W71cKHhRQQAEFfJHhcrmGXUELpLSheDyuBp+1CAaDsNlsuvpHJBKBzWbDopF2AMC6lqAaECbORhoX8UXSIok/kUU66/5Df1Pwm4LpevMvtaPTHvtg40KFQjQPExck7XWw+ZaS5IiPsY4o9F1JktKKXqg6nlrqEA8nx07ilVTIlAv0LOgJpMdSoRRtl+XC5BDDJryySYE0RmxhCFvZzEKSpIzHrTee2oIdKnjKhuFwE3btlA2zqs3402lVuHJeMRxGHs3eOG57rxM3v9uJA32D63pGkccvjy1DhU1Cqy+OOz7oQiyRcmCkqmpqmxiPx9OcnPTAcRxOm2DHA2fXY1yxAYGYjF09UTiNPIIxGbe804kOvzLmlBCbK08dKhejoDclVdD7I5lMqi0NMiUuHGredzh5ZXt7O/bt2wev16vej7kkzH5RUAiMF1BAAWnw+XwH9X3KoMoEIk56YhMJl9SPsaS/Ynx7RwgN7iiMAofTJrrSvldnA36woAQA8Ow2L97e7RnQ55rNBCSR9KKZxeA5YF1rCNu7Bq9GoGqgbCCCSZ+jzLW/r+3A89v6AAA3HlOJhSPsuuOiWj1GU+TKIqb376ZJmPq0Uz8QIt+5YEKpEX84tQoXzyyCxAOftIVx1UtteG6bF4mknLFHIptZS1lyQLoLAIEmykc3eJBIAnNrzJhemsrY1LOcWdsSwg9ebcOunihsBh43Ly7DN2c4YTHnntnHkl6TyZRTQHc4WZiH26YwE/knYiIJnCqwr2sdSDRrHBKuPrIEj36lFl+f6oDVwKPZE8Wf1/Tisudb8ORmj5rhSQSTFmy5kvFcBONMx08Ih8MHtdjNFw53Lx1ZltVekQ0NDWhsbMS+ffsKdpgFFFDAFxrUk+1gvj+Y6wsl6+klxlEFNwVyKbBNPaNDoRB+t7wDf1nrVr938lgbLppmV/uFUyU68YtYLJaWHEeiiZ5loR6Ssjxof3H2/KlXN1XYhMNhfNrqx61vtaBfe4IMQOSAu06swLzalMUfBYnZnpYkHm3ujOLCp5pw90c9qv26SeTw8+Mq8a+v1mJice59ogdDpgoOshulXpVsda8WlHTJVnCROEpCcy5B1Gw9HbVVH5R8CqQE61ysv4daPULi7eECW6FU55TUPpEPreuFOzi8FkNs/1At2OqwobTCGSofpOokFoNVYv2vIhqNqr0iW1pa0NDQgM7Ozs/6sAoooIACDgrUkm24YOf1TKCKbb3WgVRV/c1pip4XS8p4dYdb7furncupYIV6lyeTSVitVrXHNJAKxBNny9baMRtyGRdBEAYkWlKQnbV314O2ct5sNqe5KJKTZDKZVJMT2WB/poTF4UBPG2PtzrV6sPZaUrIYWd9T0kIkEkkL5g6GTJbbgD6XZZNkcwmKA8PTHYdSGS3wHE4db8dDZ9XgnEkOiDywoS2Ma15pwwNrenTbb7JwmQXcenwFzBKHLZ0R/Hl1T1pLm+FiVIkFvz+5EhdMc4LnAE8kCYED3OEEbn63E1HOgFgsNuTCnKEgFAqlcXrW2eqzxuFo68kiEAigsbERu3btQltbG/bs2XNQa/zPEwqB8QIKKEBFMplEX1/fQW2DsvO0MBgMat85sheiSYX66lA1DwloNkmZULd2KqTkxHEOFFkGZuUtnViCC2cqwfH7P+7B9o5AWgYVK8SQ/Ul9sRlLxiqE9v82DX7OufROpqpvqkAKBoN4cYcX/7dJqZj+/rwSHDtSIU6UhUhVL0Qe4vE4wrF0Esz2PqKxIREx18xKLUSew9emOrHs9GpMLTcikpDxyCdu3PB6+wB7GsqADYVCqvCll9igxermINY2ByDywOVzlIQGPfE6kZTxz41uxX4nmsS4YgP+eGoV5tVaVGKtRzgp09NsNqsCOPWuNhqNOYuMQyXolAl7OEHW6VqwRHlOjfI8rWvJnIHpMgv45kwXHv9qPb47pxhlVgF94SQe/7QP336uBQ+t60WHP6Yu4oaC4VjSRyKRNOKeTCbT7o/DFaCm+8hoNEKSpM80+zEYDCIQCKC+vv5zkSRQQAEFFDBcBAKBg36fBoNBXQ5AvcRp++z8QRU7kUgkzQaPfh+PxxGMJnD1K214e7c3bbtnTXao7XBI4NOrRCeOQVbhuWbuH+iLwRNJwiRymFCaXZwlQYas2MPhMPa5o/jVe52IJlLzo1Hg8OA5IzCjxq7yStaRh/pjR6NRbOsM47LnW/CzN9vgiVDlMHDJ7BI8d+EoLKzJfyBRa1VJ1ydT1Xk0GtUVfIbDTbSIRCLgeT6jqMr2p6QelSaTKaegOLudoeCzDt5+dYoT9U4JnkgSj6x3D/4FHWQ6B6qmCofDQ34XDGeNoxVISfg+3GCtQ3NpW3SokEwm4XYr1zQfFsQFFFBAAZ8l6H12MIhGo7raHqsDsImZxMOAVCuLMpuICqvCKZ/dluKR2n7l9H02eVKW5bS2clQgQ1yNenkPhUtQS8LBoE20ZOfZcDisaoxsaxWLxaK22yT9kcaBOBxVkxM3prHMVJV/sGDb9AApbZS0ZO0+MyUZ6BXrDFXTYtstsSDuq+17brPZcg6KA8NzIhoOf7IZeFw624UHzqjGgjozkjLw6i4/vvtCC57d5lErwfVQ5xBw65Ja8BzwdkMAT29VnomDrWoWeQ4XzijC75ZWosouqgnBLd4YbnxlP8JZnC8HbKu/ddNQob0ftI4Fh6Nym4oIydFAzyXtcCEWi6Gnpwcul+ugXOE+TygExgsooAAVRHIOFpIkDchSIytzIkeUlWc2m8HzPAKBgFqRTOKK06SQzc6AckznTitWs7SIYFAvwW/PLcO8GjNiSeCWt1vR7U/ZMuuJa5FIBBfPKoPAKRlxWzrzU6lBhDAej+PdBj8eWqeQ9wunO3HaeJtqYUm27pShyCIUT5EOk8kEQRBUoms0GmG1WlXbzoMN0NY4JNx5YgWuPrIYVonD7t4ornu1DQ+uakOy39KdJl4SiHMR8KIJGQ/3n/vZkxyotivXIhaLIZFIqJZN7lACv3ynA//dopCn08bb8buTKlFhS18IUD8gFpTpSdb3VLFPveJzRbZsXKpOIvsnSZKGFQDOBwZLzphdrRDyHd0R+COZn2OO42A3G3D+rAo8fFYNfrSoBKNcEsJxGS/u8OGSpw/g9yu60NA7tKqhg70XqTJPluW0fqSHA/F4XE08oZ5I+UZ5eTnGjRuHcePGZRVprVYrxo4dC4fDkfdjKKCAAgo4nMhXMIh4gxYUWKV+jRzHwWq1qnyWgq9a7HdHcMlzrdjfnwg4pljhFyUWESOKjGkWlXqVO3qCWyAQyCl7n6rFp5abIAmDiylU5S3LMtp8Mdz8TicCsdT+rQYefzunHlUWZVtUTa0V6XZ1BXH1K2248c0O1YIQABaPtuGli8fiq5NshzRAS+sLulZsz0q9tUcuCalAqgfgUKpj9BI8gVTCA8spiW8PZX2U7T6g9QslxwJDa0OTL0QikVQ1vMDh2vkl4AC80xDAhrahPbd0j+rx4+HyKaPROKxxicfj6r1PbaeGm0R8sKD7iIIs+QTP86ivr8fYsWMxYsSIrMJsaWkpRo8e/ZknYBRQQAEFHCzy4a5CAVvtnBWPx1VXIdIGRFFUk5tobqe/z5igrNWbvXG0u/1qpTkFlcmSm7ZL84Dq+Ne/f9I/WFBSY67IlTNFIhGIophxHKkinBw+yQLe7/cPmGco8EvOTWzLTNLkDoWmAqS36TGbzWqvdjpm7fkNRacivXkoiQmZkvAoMZDllX6/f0jjwib2akHFZtRWk4KnB8Mrq+0SfnFsOe5cUoExLsXK/NFP+nDlS61Y2TjQwp8wo8KAK+YUAwAe29iHFQeG3xaQnhvCxP9n777j5Kqr/oF/7sydXna2zPZsCSEEA4FHEQLSpVdBKSI8oMYCNiyoiAoiPCqoYHkQ5RcBBQUepUiRoiRIC6AIAoZOSELKJpvdbHanz9zfH+u5e+/Mnbozuzu7n/frlRdkdsqdsrlnzvd7zgm78NNjOnDUAr9+2evbkvjWXzcjlSktvir1dySbFIdJrlJV1SnvLik5dPm9qkVc6/V6sWDBAixYsADhcDjv9ex2O3p7e9HR0THlVeu1MjueBRFVRTWqE6XFoew4FMaqHWlDCZhnntlsNthsNv2EE3JP/BO19zwfwq7xQFMWQmOx2MSOT03DNw/rRk/IicFIGpf/bQvSUEzV2Nk6G1w4/D8n15ueGy54gis1uJCEzKp1EX1e5YmLAjh99/HdVFJVnh1YGx/74+8O4fL3t+KyQ1v1RK/s2IzH4/prW60Eh01RcNTOAfzi+E7s1+NFRgP+8NIIzr1rHVZvy20JZSV7992dq0ewaTSFJo9db9FoFIlE8OpQBp+/dyNe2ByHR1Xw1f1bcO7eTZaJYmMnAVGoZWM5pB2UFdnBK+2fym3XU01SNSfPTxJ+TqcTbrcbbX4VPQ0OZDTgn5us3zP57En7fadqxyH9fvz0mA5cemgr/qtz/P1/ZE0En79vI771180YGC0eeEk1WyWkpZnsnDYuTBf6naxmQJpMJk3BcrU3P3R2dqK1tVWvQJs3b57lZ66trQ19fX3TtvmCiKiaqhVXygKlMelkPOdIBYyM65FNijLiw+Vy6TMfV7w5hs/duxGR/3TnOWPPJrynczyeWtLm0mNRacWYPZM8uz2jkPi1mOdKnC8uZKbdtkgK3/rrAIYMLQ0bPXbc8uEF6GqcaF8pJIH59nACX7hvAz53z8RGAADoDTlx4yl9+Mp+zXDYFdOInFqQ9t1SfS3yPW45yZZkMllSe1SjShNkpcj3OkoyWv7IeztdC7fGDSeLwi4cv2g8yX/N00NIZopv2pDvJxIXW8Xf8p6XG5tPhnHTxXTF7dmPWc0OQKqqYv78+QgGg3C73QgEAujs7LS8Xl9fH9rb22dN8pKI5rbJ/ltmt9v1RdzsxXFjDCH/L7GC5CmMBSsf2C0ESVv95rlhfXFWWnEnEgm9uENG8ni9XlN8Kgvok42/ynldUqlU3s1UstHQavEv+zEknySvo2wMGBsb04tgajkmRgqNjOdbqxb4APS27qWqZGOvVW4q37m/3LgvX8wqow9lrGZ26+/JWNLuxo+PbscX9m1Go9uOjaMp/M/ftuAbf9mMNywKaFKpFD64RxgnLx7vFPrjJwbx4sZRvciolMpqh8MBl8ul//4YN/l6HDZ84X2tuOyILgRc4+/x6i0JfPWBTUXzgg6Ho6xRPtmyc5XG92+qZn0b39dyOpWVIhAIoK+vT9+429raikAgd/yrFPBY/ayeMUImIp3dbkcoFEJXVxd8Pl/Zt3c6naYgwrg4LvO2AeiL27KbUIIUCapSqRQcDgdCnol//I9fOH482YkGY9setx246MAW+Jw2/HtzFFc/ugljY2M5gY3sqItEIjhttwaoNuDFgTj+tdk6cJNdkKVa9eY2/OCxrchowGHzffj4exr1E5e0SZKTqgSLxgAu4Fbx3t4G7NMfMlXUG5+HtGCqpiavim8cGMY3DwqjyWPHOyNJXHDfevzkya36/GmbzWZZiZRMJvXnsHUshVtfGG8f/9F3h+BxZM300TTc9uJ2fPnetRiKpdEbcuCqoztwYF/+z5wEsxJYGed7Zis3+SRtl7KDSJfLZbm7dDrnPhvb58vuWPn8K4qCfXrGN3r8c5N1EtA4l8u401ZRFLy704P/ObwdPzmmAwf2emFTgNcHEwi6ze+fzJSS90KqvyYj35e5QjN8qh2ESlsxm81W1SR1V1cXmpqaTJc5HA7MmzdPf95OpxPz589HOByesuCaiKjW/H4//H4/uru7K0pmGluCA+Z2hfJvpSQpJYaUWFMWir1er76JLJ7K4Oonx+Mz1QZcfEgYy/ZuM838VlVVn4doTLgZu9RkbwaUxcViLfqSaQ0vbh6PK/bsKL3CeWgsjm8/PIBNho1qHX4V15/UDacto49bMZ4/NmyP44IHNuIz92zEG9smjsvrUHDx+zvx82Pb0eyaqF6S0TW1JAlp49+lZb3V/Mdy5IvZ8pGKaWk9L4k4K+XG2/lmTtZyMb4SxvfcZrPhE/u0Iey1Y+OOJH77z22muNsq0ep2u02vmcxQNZIq/EKJWkmoG6vpJ/NZNG7ANrLZbHl/R6sde8m/PS6XC4qiVG0zs91uR39/f06HhMbGRlOsGQgEsGDBAr39LRHRbBAMBtHS0oLW1taKbm+MQ6TCWGJEyWd4PB6Mjo7C4XDoORZgomrTZrPB5/PB43Jh97bxf4v/tma8Cjh7rKTdbte7G0m3HE3T9OtJlx8jOfeWk18pp0W0sbNKtlgsBk3T9JyRnIslNhZSSS8xtmz2M8ZL5XTyqUQqlcopgpJOUVbPr9zCAxkDWqpEImEalVmoMr/cXJN0WrV6zGzVzBHbbQoO38mPX57YidN2C8JpV/DC5jjOv28jfvLkVmyLmJ+Hoig4e48A3tvlQSKt4eK/bMDbW3fonw2Xy6XnEa2+Fxo3ngC5r1M6ncbSHj9+cXwnFoXHP199IUfO+yTvg3RfnexmgezW/cbHqeXmDyPZSCMdL6oVV/r9fvT09Jien6Io6Orq0h9DURS0t7fP2gIeLowTkUlXV5fe6rxcMovHmBSRxXEJ1qTSxqq1XSqV0tuDRKNR7NTowHUf7Mdn92nC0r6Q/hiyGAeYZ08mEgn0NXvxtf1bYFOAB1/fgT+9skO/f6fTqS/Ky/GEfSqO2nl8x9NNz2+3DCTKOZG+ujWO764cQDKt4X09PnxuaTNshhO1pmmm1uTyWknVhSRRJFiOxWL6LG1JrkiQmn0SlvYustNOkkvlWjrPi+Uf7MUJ7xrf7ffQG2M49+4NeHL9ePsfRVH0yiljECLP5fp/DiGe1rBr2IWDsxa7d8TT+O7KLfjNc8PIaMD7d/LjR0e1o7uh+AlWdkFKG/58QV8lyS35LBpP9FbBj6IoU946xyiZTOrPL3vepaZp2Ktr/Hfh6XWjgKLoz0Ha/8j/G29jnB3ldDqxc4sbXzuwFctPmocvva8FbnXidZDPriwOSJA72V3OyWQyJ7grNntJfn+qVYkknS6qOQvL7/cjFArl/dnChQvR0dGBnXbaaVpmYBIR1ZLT6URPT0/ZbQPltlaJINlYKclJ46KTtL0WknQcHR0djxddDnxuvzCaPXZcd0In3tvlxfZIAq//p/Jhj/bxeFViAWOcGo/Hc2IqabUYiURKen6vbI0jntYQctvRGyotsRBLZfDNB9/BmuGJpOf8Rgd+cUIHVNv4+VNVVaRSKaiqim3RDL7xl80489Y3sXqLOWF28uIQbji5Gwft1KBXKSmKgmQyqc9nNDLGlRJDV7q46/F49KSxnLNl3qLElMY4oNyF0UQiUdZ5VBaFJSld6PEq2RCZvYlUNpZmm87NcNmJNadNw7l7jy+u3vnyCFZvGjUl843PR47bePwyu93r9cLn88Hv9+ufqezn6fF49GRlMpnUYzCr7zeVkO8qRk6ns+jC+GQ+40ayuUZmnVYrrmxra8ubDO3s7ER/fz86OzvR09MzpVX6RERTobm5GaFQCMPDw2XfVjrcZXcfkngSGD83STwhC1BCineSyaRetPLJpe0AgEhSw7MbxjdyGuPSdDqtx46SBzTeX3ZBhxQTlVOxXMns5HxzsTOZjB77SpW7PIZx0VeOXdrEZ+dk8uVwbDYbVFXVY0pZuCyX5E5jsZjpnG18TX0+n+n1Lvc8nG8WfT7pdFrfIGA1u1xUurCY/Z0ou924qEX3J6/DhrP2bMS1x3fiwF4vNIzniD/5pw247cXtiP9n1nc0GoXX48YF+7dgfpMTQ9E0Ll0xgEhi/OeSy5ROA9mbnQFzrlJGZElcKRshQm47fn5iL762fws+v28LgInvZNKpwJjbm+xoL/meYuR0Ogt+d1D+k4uVcZyTJd9Z5He9Gt8fbDYburq6LO9LVVUsWLAAXV1dmD9/PlpaWmZtAQ8XxonIZOvWrdiwYUPZgYMs5kpLGyNjVTgwUV0s/6gnEgn9JOb3+/WK4MaADx2eDI7aOaCfICXRIMk0wNzqRlVVvLvTg4+9e3xRd/k/hrB6m6a39rEKGk9dPL77bfWWOJ7daE7GyOJ0KdYOJ3DJigFEUxr2aHfjggNa4PW49dfH2JZI2snILj8JoIxJFHndjDs0ZeOBBAXGNirG9i6SWKokEeP1euFAGp98dxA/OqYL8xocGI5lcPnKTfjmg+9gR8qmL05LUKqqKux2O14aiOGRNREoAD61V6Pps/Dq1ji+cN9GPPNOFA4b8OUD23H+0ibTwms1VJp8MrbUyu5+IGq987UYSUxKIl4CNHkPFjba4VEVDMcyeH3r+OdWks7Sxls2psiOaQmyRkdHAUBfGO5scGFpjz/n8bNV+nobE+GpVEpvswpMjGQo9lpItby8LtVsVTlZiqKgs7OzYACpqiqam5tn1HETEVXTW2+9VVECU+Ilq2oIicvsdrt+DpHzofFcYtx0KOfOw/q9uPGD3ehsHE+M/n3dCDIaMC/kRItP1WeTy30ZSfJPqhAURSmr6uO5/4w52aPdZdo0mU8qo+HylZvxyuBE7LpnuxtXH92OoN8Pt9utb4ZM2Jz4+n1v4+w/rsO/ssapLGhU8bNjO/GpvVvQFPDq53lFUfTkpDEpbBzzY2xHLbMpyyHnehmD5Ha79USjVFEpioKxsTHE43E4nU79vSwnISnHWgvlJpyFMYk53fFjPtLOXRZv9+0N4KB+PzIa8NNV2zAaieYkWeX7jPH3zul06pdFo1GMjY2ZZpJazd+UdrZGk1lAttvt+mKGzDyXz7Ik0IvdXjZoy33NJB6PB42NjQWv4/P50NTUNGuTl0Q0t8ViMbzxxhsVjcjIN7dbYiKZT+1wOPRORMBEIY78zNjBcH7IjuB/2jrf/K9hABMziSUWjUajpsVxIQUvcn92u72iRc3JLLQaz3MyLxyA/vwkHxOLxfSiCLnM2A1UXkN53vIaAub4RxbeJaY0VuSX83wlFyZxhOTvZKNnIpHA2NiYHqfIMZarFp2UJpP3McaVVrGp1fjJamr1q/jqAWFceWQ7dmlxIpbS8JvnhvHpuzfgkTVjeize4HXhW//pQrpmOIkfPrENDqdLz+Vnk4KuVCplGq1qs9n0kQRjY2Om+dqxWAyHL2o23Y90ZDCaTFwp3/mMIwIA6L+rhe5bxkPKOE75vjWTtLa2Fvz3Q1EUNDY2FuziORtwYZyITCr5Iu31ek0nYKuqADkBytwTOZnIzkNJpsh15L9SQR2Px/V5j9JaU06axsSZPPZpe4Zx2E7jiZ3v/GU9Xt+83bTr0ajJq+KYhf+ZNf68edZ49k7RfDaPpvCthwcwEs9gYbMTFx0UhqqMB1OyYCcLeBJUFkumptNpJBIJ/YQqf7Ln6BQ6IZcaeBkXKY3Byi5NKq49qRdn7tkI1Qb8a1MMidTE65HJZBCLxcaDlmQKv3xmGwDgyAV+LGgef601TcPdr4zgqw9uwsBYGh1+FT86qgPHLmrUF/qNFe5ut1tvsVNJAnYywaAkxGfyLD6pTJP2TBLop1IpBP1evLtrvEr/+S3jXxLki4J8CQEmWoHJ5wuAPn9VPjOygaXai7ZSTSS7ReX9ks0gPp+vpF2d2b8/Vi08J2OyScVwODzj2qYSEc10Eo9ILCJJQyO73Y5kMqkv2KZSKcRiMX0xSzaDycJrKpXSq1r8fr9+3nQ6nXhpy3hiaUmrS094GP/9l7hRKo0kQSPVCOWcK57XF8aLJxgymoYrHxswjUY5sM+LHxzdrY/4icViGBqL46L73sIHf/Ma/r4hBmNE6LED5+3dhB8d3Yn+Roc+wkdeL2NsaTynFop7S00synshsYUwPpZUORnjWolLsiuripFEqWwCNLZrNI5/KZdVJX05pKWn1aJsredvlkpiSam0WvbuEAIuG94cSuC+12N6ols2UkjFl3S/AsafpyS65TLj9zXA3OWrmuS9lrmuxo3XDocDPp+v6GbL7I0Vcl/VSgZWo2K82GZLIqLZTsavlMPpdJq6VWa3RTYu4krnIWkPLnkL48gXOc/J/Ry1MAQAeHVrAqrTrVedGzsNyWNLvGPMr0huMJ1Ol/1vfPbIoXLJedlmsyEajerncimCKURiYoktjTElMBEvFnpO5WwwlfE3Ev8LeX+l0j/7fC75Lcknl8pms8HtdusxZXaeUv6UqxrnceOYUqPJxqyl2jXswpVHtuMr72tB2GvHlrE0rnxsK7764Ga8tGkMyWQSveEgvnVwGC67gqfXj+Hnj2+EzWbTP28yGlPiS/m+JvGlfFcxPk/5mbyPxtGt1SKbqp1Op/67IOT3RbolFJL9c/ldqVYcN9n7cbvdaG5uLn7FOWDmZv6JaFqUe2KRNpVG2Tv/jO2Isuf4SWJRFupGR0f1QFFm18kMQrfbrQeOkhTNng0ts2bi8TjO27sJu7Q4MZrI4LKVWxBJZvKeQD60uAEuu4LXBhN4+p3xILCU6gIAGIqm8c2/bsZgJI2eBgcuObQVXsNcbamsrvZiqwRmk70PSVIZFymNXKod5+zVimtP6sNXD+5Ed6O5laIEon96cSveHErC57ThrD1DAIBIMoMrHtuKXz4zhFQG2G+eF1cf04H5TU49SW3cMSp/pFV3ua+ZtOqczOshVU3ZZkoCE4Ce0JcZVQD0avD/ah9fjH1q7aj+uspGDGmdbkUCUaneAqq7OO7xePSxCoXazspuzEqCvWoujk/m99XtdqOlpaUqx0FEVM/KjSulutgou32gqqp6ZYu0b5R2mBJfyg59YytjY1wpG8r+vn68W8qeHW494ZE9R7HQ/OlSzxVjiQxe2VrafHFN0/DTVYN4fO1EzHH8LgF8df8wksnk+LlfU/DDx7fgjP9bhyfWRZGdBju4z4dffaAbxywMwG4zn0+tzunyPIsl1ApVT8umBnk/jIuUQhJastFANvAJ45z4cknXJfkjsaT8qaTCbLKJJxnhZBXzTFUCsxSyOJ5IJNDZ5Me5S9sAADf8Yws2jk60TDUmzIvNpZcOX8a4rFqL4/IZkgWNfAl8iYOLfV/K9z6UOwe03PsvVUtLy6yv2CEiKka63pVDRsYIqQ6X+DSZTMLn8+nVocZFL8lbSHW3cWSP/PcjezZBAaABuOHpjaZzvpx/5P7S6TR8Pp9eEJCtnDyW0+msaPxltkgkoi8uV8KqCl82R0p+Kp9ieRvjHHPpcpgtGo3qleHGimJhHM9XTp5IilAkpszOU0qOtxyyAaFS0nG0Gu/7ZNkUBQf3+/CLEzrxkSXjufTVW+L48v2b8MPHtuKdoQh2bnbhy+8bz4nd/coO3Pd6RI8NAejf04qNNBLSUdVY7FatxXH5/QfGfyfyfWeQfw+K/b5YxX3G9vHTLV8L9bmIC+NEZCLtIUuVrx2Ipmn6yUJa2snuvtHR0ZzHMJ6IJPAxthmXXZtCgi1J0shjGWf4Oe0KvnHgeAuXtduT+PHjWxHPc4ILue04ftH4rPGbnx+Gs0AS1Gg0kcG3/roZG3ek0Oaz47vvb0XQlRusj42N6YuS5bZQsTqpSrVSscDK6ray21Kq2GVOdD6xWAzpdBrtHg37dKimnW5Szb8jnsZvnx8GAJy5pAENbjvWDCXwxfs24tG3I7ArwCfe04gLD2yBzzl+6imlEqjck/Vk22gWSnDPpAQmMLHbOZPJ6MnJRCKBvTrHg63VAzGMxHNfj0KvaSqVynme8n5XsjguX2bkS0CpGwtk4aKSILdaFe6TWRjv6uqa0V0HiIimSigUKuv6+c7jxstlXpxUhGcvpMZiMT2elQ4rkkCUBXGPx4OB0QTWj6RgU4Al7R49XpURJPJY+ZI1Doej5Ljj1WENGQ3oDKho9RWOf677+xD+8saY/vez9mjAp947Pvs5kcrgqsc24/jrX8HKtyLIZIUlXQEVl72/FV/ZvwWNHuvzodX5SZJShc7TiqLkXeCVyo9SzvXSSlHmaEoML6OD5DHKWSCvZhWGsNvtk0pgGqvQ6oF8LqLRKI5c2IA92t1IpDVc/fiA3sIym3FxwYps5DAqt9OCkVSHGz9DxaTTab2VbbkxYqWbNLJN5vuDy+VCa2trVY6DiKieSWvfUkmlsBXjArec4yTHlr2AKoU+xjE/UlFq15J6p8QH3hjfbCmVxkDu5s5CBQKlnqMqqZwvRCpz5RxbDqs4WHKM2d0us1k9X+OiumxMKHQulg5DskBunA2ePZ6vnPxMLWZ1T3YBN3vzrtF0FfG4VRs+vCSEX53YicPmj3euXLlmDMtuX4tb/z2Kd3e6cc5/hQAA1zy5Gc+8M7GxwOqzU+jzIu36s3+nK2nJD0xUh8vG0GJ5cSGbryvZ6DkT8sncbGnGrC0RmdhsNvT09JQclBVKCBoXtuS/xgVsac0nVSMStBiTkXI/APQ2NlIlHovF9LbsEshlH3ezV8VFB4XhsAGr1kdxw9+35j3ek98VhEdV8OZQEn97Y3vR5x5LZfCdFQNYM5xEo9uOyw5rQ7M3f7JTEoYyQ7HUE2mlQZlUqWTPC5IAs5xF5OwZ8VJpLsHXzf/ajpF4Bn2NLhyzMIC/vjGKL9+/Ce/sSKHFa8f3j2jHibsGczoJVNtkEljG7gfy/kigJO19ZhKpfgMmvqwBQItPRV/IAQ3APzeUFxznm+2dSqVK2hkpFEUpqTq8EGmfVG7AWer75HK50NnZiba2Nvh8vpxgWjZuuFwuzJs3DzvvvDN22mmnoos84XCYgSYR0X/4fD50dnaWdF2bzZY3gSnnOTnvGTubSOWxtDWU1skSo8jYFyH/vv9763gctFOTEw2e8Sok2YgpyZJCsUqp50S3242n3x6PK4tVi1//7BD+9MoO/e+f2acJp+0eQiqTwS+f2YZTb1uHB98YQ/o/pzo5cznsCv773U34+XGd2LOj8Dmo0kVJmT8uG95UVYXb7S5po6aRcQ48AL1ltVRkGY+z1O8jlc6PLKTS6inj7dPptP59yDjrfiZ1IRIy7kr+//z3tcFlV/CvTTH85c2xvLcr9LrLBtps5bYpl2q2QtXhxcRiMWQymbI2KJeTRPf7/ejq6kJTU5Plooo830AggL6+Puy8886YN29e0UQ5N1sSEU1oa2uD3+8v6bqF/r1PJpN6lxvJN8icaskpGfNB0oFPzpPGc/hZ7wkDAIaiGazdPj6+R0YqSickh8MBv99fMFdRTlvxam3cMpJzrCxOl7NQXwlZxJbzo9vt1gudytlYmB2ryxgmY7ygKEpZ8e9MPO9KB0jpnCXfi6S76nTmK5u9Ks7frwVXH92Oxa0uxNMafvvsID551waE3DYcuXMAGQ244tEteGso/3erQq+73W43jYI0KjeuNFaHV7qJVbotlPO5KvW6NpsNzc3N6OzsRDAYzPldlNEANpsN4XAYCxYswM4774zW1taCv7fcbJmrvOGtRDQnOJ1O+Hw+jIyMFLxesUoIq4SPcX6PBCuy29LIeLKTnf7GE73x/+Vx8s2N2aXFhc8tbcaPnxjErS9uR3+jA/v3+nKuF3TZccKiIG59cTt++9w27N3VAVueE1cyreF7f9uC1Vvi8DltuPT9regIlJ5Ak/k9UsUUj8fzLlRXmuiT10gCQmkjZGwnVClZcHc4HHhtYAz3vTqexD1nzyB+8fdh3P/q+Gfn3R1ufPl9LWhwm0/OVq1SrZTbwlDapFbCWPkl74/RTEtgAuPHKa1Ljb+L7+n0YM1wEn/fEMVB/b6c21iRzSb5pFIp2Gw2y9/XbPkW2Cth/LeiFMV+X7xeL1paWhAIBPTANBwO69VHo6Oj+k7xlpYWBIPmDR3d3d0IBoNYt25dzpcPl8uFcDhc5jMkIprdGhsbsWHDhqLXK3YOz/6ZcdFN/u2PRqM5G6qMVcjy91gshr+vH49d/qvDoy+uGxON5Z5/8kmn03juP/PF9ywwX/y3zw3hj/+eiL0vPKAF+87z4MZ/DuHO1SNIGk5vLruCeFqDBuC/Otw4d+8mdAbG5ylLRX01STU9MNHVBZhowV1uUik7MSTvm/H1T6fTetvBQpX7UsFVjKqqZcWVMl90sslnafNvNBM3XALQx/S4XC6EEcEZSxpw/T+HsfwfQ9ir05PThaBQTFjs+0Y0Gi3rs1ONRQDpMCEdl4qRsQuFNDQ0mKpvpJoxkUhgbGwMo6OjepeKjo4O079PLpcLwWAQ69evx/btuZuyW1paajKXnYioXknV+OjoaNHrFioEyZ5VDYzHCTIL2O126625jRvlMplMzv2+r9cPt6ogltJw/bOD+P4xAf1nEo8lk8miMUgphStOp7PqMZ7Vccj52+fz6Qv9+cjrVo7sGEE2WpbSVTJbdjwlcZcxhnc6nRgbG9Pzr1bvv6hG7G9lsuNZ5HhTqVTOfdX6M1GqBc0ufP/wNjyxLoJfPzuMzaMpXP3kNuzc7MJOjQ68MZTEpSsG8OOjOyw7WxWKu1VVLfg5lO8SxfKQxu80kyUbH6v1+quqiubmZjQ1NenftZqamqBpGmKxGEZHR/Vj93g8aGpqMv3OtLa2IhQKYc2aNZa/k9xsmYsL40Rkyev15l0Yl3mA5Z5MJNgRcvLI3tFkFTDI4rGRtMc0kgVbmV8tDp3vx5rhJG7/9wiuemIQnQEH5jflzpg56V1B3PPKDrw9nMSjb0dwUF/uAno6o+HHT2zFPzbE4LIruOSQVvQ3VjbX2DgbSBKCVvMYyyVzv40ikYg+97EchRY5E4kE/t+z25HRgL26vLjxuWG8NZSEAuCMJQ04Z+92KJhYVLbZbHA4HCUFDpUEGMUWr2X+vNVrUI8BgsPh0Bd0jfbq8uCP/x7BPzZEkdE00wYPp9Np+Ttms9mKBuuZTKZoIneyrUetlLMLM18CMxAIIBwO500w2mw2+P3+knagB4NB9PT0YO3atfqu3XA4jMbGxrr8HBER1ZJs4Mp3bpCKyXLjSmP8KJsogdxYIDvJIue6ngYHdmp0Ys/28ce3SqjE4/FJbSh0u91Yv20U67aPx0ZL2qyrl37z3BBue3E87lYAfPfQFrw8mMSPbx1EPD1x3m1w27A9lkE8raHRbccn9mrEAb1evRJGErrG9vHVkP0aykYC6QBVDqvXU9oYqqoKVVX1TgDAxPcFeU7GGZIul0tvnVlMJZXyxRJ0hV7jQvH2TFwUl9fHmBD/wK5B/G1NBG8MJfCrv2/D1w4wb/6T9yw7fiz1e2Ipv1/VTlBnMpmSNnkC+T8zNpsNjY2NaG5uzjuz1Ol0wul0Fm37qygKuru7oSgKhoeHAYw/53A4jEAgUPC2RERzUbHKUOn4U+6mPWP8KP+fncNMJpM5sYGiKFg6z4Mn1kbQ7p9YRJdKcbmupmlwOp2w2WyWeatSRvRUa2xcKVwuF8bGxjvGSEWy1WtaSf4jO26QToGy+bLUnGW+jYaqqur5z1Qqpb9uxkVl6ThqLMIqNeavpPNPIpHI+TwZyVgiq5+X85pMN0VR8L4eH/brDeKul0dw83ODeG1w/HPjURVsiaTx3ZUD+J/D2+BWzZ+dfM+x1PdFqrgLxXjyPaNaJrvhAYBelBMKhSx/n+S7dClV8U6nE/39/VizZo3++xoKhRAOh8se6zoXcGGciCw1NDRg06ZNOZdLcqKSE4lVckFRlJxkRyKRyDnxZ58cJHCx2p1onFdodPaeIbw9nMQ/NkTx3UcGcNXRHQgZKpltNhvaGn34wK4B3Pyv7fj9v4axf48XdtvEcWuahmue3oZH345AtQHfPDiMXcOVnVyyk2nGnV/pdFp/XpVUjMvMk+zgQVo6VcvjayN4buP4a/Hi5ghiKSDktuEr72vBnh0exP8T1Em7/HQ6XfIXlEoSmMVeK/ls1EvlTj6SjM6XKNw17ILXoWAknsFrgwns0jLxGZVKIGDieRvbyBdj/GxJK1XjnKvpbg9qXPhXFAWhUAgtLS1VDwIDgQB22WUX/XeKC+JERPmFQqGcc5a0n6vknGEVPwLWi2jZ5/xUKgW3240PLQY+tLjBVD2andyQmeRWiiWoZPPm8/+pFl/Q7ITflZvQXP6Pbbhj9Xj1ug3ACYv8uPxvg4imJuKSNp8dI7E0tscyUAAct0sAZ+4Rgs85ce4xbmSUxJ+MLTIm/SqJd6S1pvE5yxijclk9vpxLZUakVQwrz0mSQ3JcpaokoVgorpTFX6tjlTFP9UISxznPw6bgc0ub8KX7N+HRtyM4uD+CfbrNGwwlsSybMySuLPX5G5OYxrhSWtbWYvRSqd8xpDOTfGbtdrteyVNJVVuh4+nq6kJzczMymQy8Xm/FIw+IiGY7GXuXfc6SIohKNgXm24Rl9W9x9sJ4PB7H+fs24yvvC5tuY7UAZxyBl61YPsHtdk9pZbAxBpJY3el05hRCVHK+snquElMZN0eWe5zCuFk2Xxt1yUtKtxxZTC9FpYurxV4rGbuZHftMRaeAapE4PRKJ4AO7+HBQjxs3Pz+MB98Y1b/bvDqYwJWPbcVFB4VNRTyyeQAY/75gHJ1VCRm9qigKUqlUVTcNi3Ly9dnXNW6ErGbc53A4MH/+fMTjcX0jL1ljFpeILMkMnGyV/mOdr4pU07ScwDB7xiCQu9gtP89OVtpsNvh8Pv0xjcdrtyn49uHz0BlQsWUsje/9bQuS/6nCkRNFNBrFh5Y0I+C0Yf1ICo+sMc/Uu/G5YTzw+ihsCvCV97Xgv4rMcSwkX0IlGo3qAYEkHMuZc+hwOPIG25qmlR0IWL3nNpsNiTSw/NlhAEAqA8RSwLvCLvzkmI6c+ZayiFqN3XSFWL2mMnPH6/VC0zT9tZWZUvL/9RJoypeFgu2sbIr+Hvz9nfGZkTIfKxaLIR6PIx6PIxaLmWYVlUo+Q5lMRv89k2Oa7pbzmUwGiqKgqakJO++8M7q6umq2M1JVVfh8Pi6KExEV0dDQkHNZMpmseFxMvll6MgrDyKq6xnhb+bnVIpzMNs6OKYHx5FW+84vX69XPr89tlDbqubOEr316UF8UVwC4VODOlycSR91BFb0NKjaPpRFNAwuanPjx0e341HubTIvigPWoFKn+lZnpNputos5Bxpg0+zWoRlzpcDj0Y1QURU+OWtE0DdFotOzPTrUStzLbUT5DcqwSU7pcLjidzqrPPK8Fu90Oj8ejx4NWFjS78IFdgwCAXzy9DZFERo+rpZpM4j95X8rdfGFMeEo8mkqlEIvFalIhVU7c5vF4YLfb0d7ejl122QWtra1VXRQXkkj2+XxcFCciKiIUCuVcZtXmvFT5zltW53Kr1t1Bi9yp1WKUsYI5+996GfVhRSqNp2q8hrQbz5ZIJPTcrGxSLPecJbGe1esTiUTKWgTN99her1efwy050Hw5VZlbXU4+sNIYz+p2LpdLz/Fpmqa3gTfG35XOwZ5qbrc7Z4NBo8eOzy5txk+P6TB9F3pqfRRXPTEIYOL9kvGOkrOU3GI5cZdsagSgd7ZKp9OWG0CroZx/c2KxGGw2G7xeL/r6+jB//vyc0Y3VYrfb4fV6uSheBCvGiSivUCiUM7snEolUdGIu1BYoe4ajLN5Z3YdxropVAlNOejIXKJPJmK5jT8dx+VE9OO/Ot/DSQBy/+vs2fGafZtN9NXi9OGX3Rvz6H4O45cURHLVrCxRouPnZAfzhpfE2l5/dp8lyTnk1Sat4ma0o3G63HjBrmgZN0/T5mXa7XW9paHyPsqvQy2E8Sctus2g0imufeAdbxiaSaCe/K4hP79eJRMw6oMxuJVVMJRVN8gXD4XBA0zS9pX7252m6F28rVU61/8F9PjS6bdizw623mLV6TSvdfSqJ1KnYUFBOKy2v14uenh4GgEREM4iqqvD7/aa4UioByu3aYrfb88ahklAq1nIwHo/rSUapbrUaNSIbO6WKM3sci1VLTWDivBWLxfD85vGY4709QbjdbiiKgng8jh8+NoCH35zYgKkBiP7n4ec1ONAfUvHY2igyGuBxKPjvPUM4ZueAqZORUaHFPlmslCoMSb4B4+dzifWMcaVsmpMONcZYtNL28na73fReu1wu/f6TySQURYHdbkcqlSo7biymkqSTdNmR45Y27tmfk1ok2mpNkoWl/O6dsaQBf38nioP7fXCqir55wUo5XYiExGyVVvqVq9TPgt1uR0NDA0flEBHNMA0NDdi4caPpHGZsx12OQkUSxo42xsusrpctO1ZQFEVvo66qak4FuOQws3NVslgITIwwsdlssNls+vms2jmZYvkXmb2e3eFEOhUJiSeleEHiDuPxVjqqE5iooje2Qk8mk6YW8MB4PFfoPJ5Op8v67FS6ASOTyehxt+Rnsz87xvFQ9UTy7/k2DfQ1OvHd97fimXei+NmqQQzFMjiod3yjR/ZnQlTaWczj8SCRSOh/as3YfawQr9eL1tZWboKcQbgwTkR5STuP7ISJ7HAsNRgoNcCQIDBfwCKPJ8eUncCU9ntCkpVGTqcTPR47vnloF775wHr8+bVR7Bz24IR3mat4jl7gxR9fHMKGkSTueWkrbKqKG/45DAD42LtDOGJB/plvHo9HT+4JSfxKMjedThdNRGXvtJN25IUCA+OCuKqqcLlceiJPdqZFo1G43W4kEomi76HD4dDn/0mwkkqlkM5oWPGfZK5bVXDRoV3Yt8cHm02BUmDjRDkthypZGLfZbIjH43XVvrJUxt8jl8ul73rMZ78eL/brmQg08/0eVrLbNV8L21qJx+MFg01FUdDY2IhwOFxWdwUiIpo6VhsuE4lE2V1bHA5HwVgonU7D5/Ppi7n5YgKJN+W/VnOSje0X81V5SFwqcZ6xq8u67Ulsi6ThtCtYEJqYKfk/jw7iibfHcu6vM6DikPle3P/aGP729vhrcvD8AD753ma0+MbPb8YqiHQ6rVdIFZs7mUwm9ecolcLRaLTga2987WRjplTeSNV0IpGA0+ksKXElcanEtNnxoiQwZaFUWh8Wa79eikoXxuulSqdcEuMDxb+ruVUbfnZsh74pw6q1vqi0Mn+62sNasdvtCIfDaGpq4oI4EdEMZLfbEQgEMDIyYro8u+imGOOicz7GBfd8G/aMmzIzmQwcDkfOgpxxwVjaOhvJYrdsxFRVVY9DJX7Lt/BY6sKcbIoTxg2qcswyArGQ7JbULpcLqqpibGyspNyvzWbT48hMJqO/xpJH1TStpJxeKpXSi0esNtdJ1azw+Xz6onk2yUWXmh8rd2OvdFmcjblKiSllA0K+WeqKomDvbi9+fZIHq7fEsKR9/L3L95rLeJ5yNyIUGoVVC263u+DnngviMxcXxokoL7vdjmAwiO3bt5suT6fT+sJcMeXs/JP2l/l2dBnnime3upGWRMbLJKCTHXmpVEq/7z3Cdvz3niHc+Nww/vfJLehtdGOXxokqbI/Dhg8ubsCvnx3CDf/chh3x8cc+fUkIZ+7VoSdArZ5bPB63PLEbE1BA8Tkp2UFWJBLRd5ZKoGy3202JXWk7CEzs4jS+JjK/3VidL5U5psp6u11PCMtiuJHdpuBXJ3biOysG8JX3taA9YNcf1+12618YsgPLaDRacseBShdsZ6PsQEsWivMFnFby/V7lm2NUyHTMY5cZqUayIN7S0sIKcSKiGS4YDFomnKLRaMmbKEu5nqIoGBsb01sTl5Iczb5f+bsxVjO2v5MKhuz7TiaTevcaTdPw3H/miy9udcFpV5DJZPC5ezfh7e3mGLDdr+KsPZuw4s0duPn58SRvh1/Fp/duwv47NeljdrKP2XhZsRjIGMul02mMjo7C4/HoiSxVVfUkrJAKaePzl/dPnru8VjabTd8oEIvFTO+zy+XSu/gUi3+zX1NJYlp9dspJelUSI9aijfdMkP15j0Qi+qbZfPF3dqcCl8tl+btYDwnffMlvLogTEdWPUCiUszAOjP8bX2rHGcmFFSK5GKnUzkc2LEp3S3l8ya1l521koV26HUajUdN5VWIQY9fAfHkYl8uFRCIBh8Ohn9+s8kSZTKbgZkbja1YoR5T9OsioPokvjLlKY1eiWCymL4ZnF/3Ic5ccl3SrtHou0lUzHo8XzGNl541lxGAkEslZcJXuUKXmr0v57BhZbZaYDYzdTAGYNjrkey0ddkVfFAcmxlNZ5YnzxZszSb7fSy6Iz3xcGCeigkKhUM7COABT0FNIKf/4y85AIP/iHTCxUCqV4dFoVE965jsOt9utt6iRIEics48P63Zk8PAbI/jOX97BVUd3oM0/3obcZrPhmIV+3P7SdgzHxx/3hHeF8JHdg/pj5WtrLe1xshN72dXShYKofK+tLHbL/Rvvz+v1mgJGCVCMs39kAVxubww8jG2PilVZAUDAZcdVx3abgklpgy9zl6Wap5Tq9GwS2JeaYHM6nbMygWk1MgAoLeAEJr6ISWv5ch5juqmqimAwmDMGgAviRET1x2azIRgMYnh4OOdnkUik6Cat7OoUK1IJPTo6mrctnxVjt518raAVRdE3J6bTacu529LKXeIRmS++x39m6t38r2HToniDU8G5+zRhw440fvLkFiTSGlQb8KHFDThlcRAudbzKPLsqxaq1YL6kjN1uzzs2RVrIy0ZIY8zlcDiQSqVMXY8kySmPJdU5ksQ0PoaxBXmpmx+yvzd4vV6MjY2ZqqeMn4NkMllyErPcGLGczYf1JN/3JhkrUGwDq3ye8v2u5hsvUMhUJQvdbre+0cLY/YgL4kRE9cfv91tWk0qMUqyit5T4wTjG0GqUipGcy4xximxAtIonZENiJBLR85pyH3Ls2ZWv0jkz+xycTqdNsWGh86rVz6zyl/k6Ebnd7rzneBlBI4vWwhgXGLsxGV9fyW9J1bjx9ZYYXKqupaiqmOwNcHK/8nydTqfe3h6YKEYqZcHbagRTPpLDnok5t8myKmABStt0qSgKVFUtWFA3UzdcKooCv98Ph8OBkZER0783Ho8HbW1tXBCvA1wYJ6KCCs00LtamqJRAU64js4HzzUEGJgJcSVhKwGX1GDJT2xiAZgeybrcb5723AW8PxfDGtgS+u3IAPzyqHcB4ktAL4Av7NiOR1rB6MIlP7d2MdFZQmk/2iT+7cltkB7WFnpP8TO5HWkZLoCBV7HJcxkVuo3w7XdPptP64stu1WGWwVAcJub20vJHHd7vdUFVV30laTrIx3xcaScwBmLLZMVNN5lAVCrjld6HQvNVqJ3ZrnSx2Op3o6OiA3+/XA0lZHJc2X2yZTkRUfzwej+XCODAeO+VrYVhqu0KHw4HR0VF9sbeUDjUy50/iUKuZkJLYNMZn2ZsRc6qZMxpeGBi/ztL+EFKZDN4amrjv/94jhF1bXbjm6W1Y95/F8iVtLpy7dzPmNUyc46zGoVgtblrFCvKcrGLQ7OebHYfLhk6ZO27cFGAk8Wk242tfrMVg9nMFxmM7+Y4AQF/cl/dKqtLj8XhJn49im3oltpD7nI2L4vk2SIhimwesNkBYmWlJQL/fj46ODtN3llgspn/X8Xq9XBAnIqozkovK172k0Dm/lCpUyV9pmqaPSyxlYVzGGOZbMJSFQGMMlr2Zs9CxJ5PJnPyP3W435cOyc4NGVuNQShmNUug5ycK1/Cy7a1Mmk9EXnKVLkc1my3mOcj/Z7c6zX59SO0JJK3Xp9imvnaIoei7WWHgETGwMLabYpl5Z9JfipJle9VyJYjn/YoU88n2m0OJ3Jd0qa9lGXVEUhMNhNDc36znvjo4O/TuUdPacabEwWePCOBEVVCxBkq9NUSkJMKn6BqDPK5RKhUKzkFOpVN6TqyyIlxIkxeNxeJ0qLjtyHs67cw3WDCfxk1VD+MZBrfqi24E7NyOTyeB98ThcTiciWW0oC9238XXJN1vbuAvTarHRWOFulQCVWT6S9JQgG8hdEDfertiioszILMbYEtO4icK4QzYajerVTsZ5QaXsxLT6QiMJ2GQyOaXzCKeD8ctFIYWCrlKT0eWoVSt1RVHQ0tKCcDick6CUKkAiIqpfhcakpFKpvBuvCnUHEsZ4QZJUbrcbmUzGMmklG61kw55Vcs5qQdyK0+k0jTnRNA3PrR9BNKkh4LJhfpMLP1ixAU+/E4WqAF8/MIxV66P4zfPDAICQ24bz9m3Hvp2q5TndGC9ZVYsDuRUV2fGTsV0nkBtXSrJQNpJGo1F4PB69JWi+16CUzQelLjpaxTzyHQGYiJWNm3NlbFIp8ZKxul1IS/rZOvdRlDo3s1CMJ61Ni8Xv5SQDjSOeqk1VVXR0dCAYDOYck8yzJyKi+lXovBaJRCzzhlIEUozxfGccH5M9LsZ4v16vN2+uympBPB9ZYJPuOxLLGsf1uFwuvdrZ6tydLwcJmDcG5Iu9s+/TZrPljLOU+C6RSJh+JreVTZfyenu9XqRSKVNRTvZjlhKrlLrwaXyOxm5HwETBkMR/EktK/FtKbGK1qVc2ks7GDZZGpXw3K6aU38NyR2yW0w6/XD6fD52dnTkdw6TQj+oPF8aJqCDZHZkvKMjXpqiUE5zb7cbo6KjpMgmQHA6HvkNTToSyoz+VSuWc6MpZEAcmAlq73Y5AJolvHBjGhQ9twqNrRnFzgx1n/lcLFEXRAx0Jmow7AoudoGVhPF+1OGBOHFltMihUQW+cUyQnf0leFgrCilWLAOPvQ6kthOR5WL3n0jpTWnXK80mn03A4HJatr7JZJTFnc+JSlLooDox/SZFkt8yGN25EkPuLxWL6Fxjj71Amk9F3NWYnDqVSTL6kZLfFqpZ8QSYREc0eiqIUbLNsVVlQSgt1h8NhGU9I7CBxonGBPJPJ6IlBY4xRzoK4PLZUuMRiMYyNjcHtduMf68dj3CWtLvxy1QD++sYOKACO3iWIn6waxI54BgqAo3b24+w9Q2htDOR9vEQioceghRJRxjg1+/XI1yJebiczwI3PpZTkYCkJqHKTWvk64choJGl5L8qZUy/P0Rhf17KyZKYodaNkJpPRK+eN8aXMCZWEtmyylYR9duVaqXFlKR2qKtHU1IS2tra8rWCJiKj+SdyTL86wquot5Xzo8/nytoeWRbBEImGKH2TUTHYuTnKbpSyIy/HJzGU5BtmoKLeXCnZZKJdFdOmwJyNw8sXb2fGwlexjzW4dLlXYVowxmcvl0mevR6PRohsTSnmNyh3ZYrVB07ghV/LMQrpeFlvctirakvdgNlMUpeSOnca40hi/S4xo7Chq7Bol74d8X5PPebbsXGUtNlva7XZ0dHSgoaGBleCzDBfGiaggWdSVSm6r3ZHZVb2ltlAfHR017ZrMvk8JdCSQFHIylWSKBFjZCrXjlNY5MqNmt3Yvzn1vE3721Dbc8sJ2HDrfj75w0PSc5GSrKIq+eCdzYqwCn1J2CGbfzrir0zjzO7t1ZXbCUAJ+WXQuZTNDIZIMk8BEdlhGIhH9ceX1lSR3vsBIjm1sbMwUyEjVeCkBpzH4mCutDsuZhWn8fZMAUnYXp1IpUzt2+QJj/D3N1/mhGux2OwKBgP7lMRaL6a3vJfne1NSEUCjEIJOIaJaTygyp1rQ6/0ciEVMMV8rCliRWrBbAgYlKH4nhjPMMJcYxxpX5ZowXiqHkeUnS77lN488trQF/fHEIAPDZpU24/d87sCOewU7Nbpy7Vwi7d/r1GK7QubjYbEJVVU2xg7wexucucV328zPetyR1vV6v/nrk2yxZyqYFAKaNeQD0mYORSER/n+X1dTqdeV8DiU9TqVTOJgqpIk8kEgVjqOw4udxF+3pUaHajFXn90+m0/v/yeUin0/qmYZlL73A4TN9NpG1oLTgcDgSDQX2DsMSV8tmQuY6s3CEimv2MIzHydX4x5o9K6VIiuSuJm7JzoMZONna7HQ6HQ18UByZyh7KQXW5HGlVV9YVH46xxI5k9LvOy5XlKJbnkT/MVohjnbBc6DuNxx2KxnPhcnmv2/RhzlcaOSvJelLKgXohs3JQNABKPGo9DXrtC9ymzyqWAx5ibLNYGXGR/b5kLcWU51eLG73rGz6JsRpCCOPkuJJtdJbcNFN7cO1k+nw+BQECfcR+Px00jHAOBADdazmJcGCeigmw2m76jT3ZHWiUdjSe4YokQY9seCeaMuyizVdLaUFr2WCUYFUVBNBo1BSzpdBon7dGGgbE09mh3o9Wn6ovnyWTS1Bo8OxlnbO1tJMGRJEqlzVEmk9ED6OznKzsTk8mkqarX7XabXmOrYEsCZwlSJIFlDErLaSsj701vby8CgYB+ubweIyMj+mK31XsuFT2SsJLjNiaWjcF8vhZQcj0xFxZPq9H+x/i+SxJZPnNWr2EtXte2tja0tLRY3rex2wQREc0NUmUqSRJVVU0JKSHVPPlmGRoZz5nZlTXZsZlVJU8xUoVjteAuz0EeV+KV4dEoXt4yfh5etX78Z+fuE8axi4Lo8Dvw5lACx+8SgN2m6HGuxI2F2nQC46+dJEGN8xCNCSQhz182txqTtqUk+pxOJ4CJDlLF5msWIm24FyxYoCdsJQEWiUSwbds2PW7Mfu7S4l0SwSL7erIpoViy1xh7zIUEZqkjkgoxVn4lk0lTR69MJqN/VuSyarPZbOjp6YHP57OsQpeFccaVRERzh8Q/xnNUdstv4xiQYrPFjbkquV8pGLHq5igbxsohub18m9asql6lWta4KC0V3HJd2XQqeaB4PG7KaWYfu1VnzuycYvb1JX6UQicA+mY5Y3yWvSAvi44S40oFsDEmL3WzpRxzNBpFKBRCd3e3frnkrcfGxrB161b4fL6ceeUATAv6xtg+O4YwFiAViqNkg2k5XTfrVbUWqbML6xwOh/5eSQfTcn+3yuH1etHT02MqwhMSV3IxfPabG2V3RFQxRVFMi6LG4MHlcumJOTlhZLegsbo/qwSUzOBxOByTmiPsdDr1gErTNP0kZwxwjJXYRpFIBJ9Y2o4l7W54PB6MjY0hkUjoVRDSKjNbPB7XW4Vn/9zr9eoL4pFIRD+edDqdNzErlRjZuzONxywzcLLJDEhJ4EoLJnltyg1gmpubTe8/MP7lQ1rISDtFr9cLj8cDh8MBt9utfw6sXi+rwEPe+3xkvrTL5Zr1bYnk81JN0gLTGNhltyitdiV+V1cXwuFw3gSlVXtNIiKa3Twej+lcZKzO9nq9eixg7HJSSL4Ep1Syejwey7ijnOOV+0skEnp7aCGL+tnzip/fGEHaEK58eEkjjt15PDZaOr8Jp+0Zhmq3mWI7OU6pos6ueJXqdkmYZrfTtIq/ZfNhdncjq4p6qzhAqoWkGtj43KUTTDm6u7tN74dUY7W0tOifBYfDoX8WJAbPN7LH6jtF9uK5FelYk68F/2xSSmemcshnQGJLYOL7h6h2UtjhcGD+/Pnw+/15N3dKO1kiIpo7gsGg6e/xeBzRaBSqquq5OFlALmVBT2Iqo0wmY2qhXum5xliBnkwmEYvFcnIiXq83J94CJjrvyDFGIhE9tnO73Xr+T25nXPSWWM24gQ2YWFyXwheJzwq1mpfuPNlj+bLvO19uyVgBbGydXQmn04mOjo6c5xQIBODz+UzHK7lKyWHnK8qxem8lJ1yIdMIsdr3ZoFajD43vh91uN+Urq50DDgaD6Ovry/sdUeJKmv1YMU5ERXV0dGB0dDQncSQnKgkws09eVoq1XJGqGafTWVKbIyOr6hdpwwLA1D5aEmJSPS6MVThSbZ5IJPQKBHl+Vo+VSCTg9/v1hKYsGjudTv12pQTR2YG43W7X28sYZSedjK2O5LoejweZTEavnCrWBtTI7Xajra2t6HHKrkyr4zfOGJeEVb7PiFSYG8n9ymxNeS0lSQqYF1iNs7Xz/QwYD96lnbd8rmVnrNfrNSXXjO9Z9mXy32QyieHh4arM3nY4HFWf4S2t7rM7HdSiHZHNZsO8efNyNlQQERGpqoqOjg6sX7/edLmx2keqLkpZ0CtW7SsxntUsyGLHadXJSKoHpHWnJP5k06XEfg+/Oarf5piFQSzbp02/L0nSyTgfae+e/Vyz52ZLUlQuKzWey34Okjw1kopwY1yQ3aZc5k1XWg3T0tICv99v+bN0Oq2/l4ViIBnfk2/OoPH+rDYWyGucSCT0hLAxzi8WQ+b7mVRZGTcKSIWZsXVovjgyO9YcGxvD9u3bJ50ILNZ+vxLS/Skej+vtY6UVqbEdf7Gq/VK5XC709fXNiWQzERGVJxgMIhgMYmRkxHS5dCaUczQwsZkxn2KFJLJALjFfObkU6QqZvaDs8/n0ohmpdNc0DT6fL6dyXPKZxtnY0glJ8n0ykiY7TtM0zRT3GO+vUI7OSvZraJUbzY4LAPM4SKnElo2g+boaFtLd3Z138VJyklZt3o3HKK+bdErNF99abVg1fq+Q4qZUKmUqmKokrpTq9OzOqU6nE16vV9+EkL2pIl9smclk9G6fk1VOC/VyRSIR/XNttYE331iAcjU1NaGjo4ObKQkAF8aJqASqqqKzsxPr1q2z/Lm0AZI5OoVIEqVYOz85ERpnbOfjdrvzzoMEYFkhI4vukow0Jnfi8bi+20+OUxaXJagyHo/D4dCDbgkAJdkpwbUEi7Kom28ueb7nZvX8pRJKjsnYulwYE8J2u72k9wgYD6K6u7sLJh3zvYeSNJVAQ6rfC73n/f39eosi4x+73Q673V6z1oiapmF4eBhbt25FV1fXpHastrS0IBqNYmhoCNu3b6+oNWc1WqhbSSQSOQnK7GDT6stLuex2O/r6+ibV9YGIiGa3hoYGbN++HTt27LD8eSlzD0X2/MN8jFXp8Xi8YGJFEnRW8ZKcT6XSWBKZ8Xhcb9GpaRqOXODH69uSaPbY8fn3tSGdTpsSglJlLh2BjLGbxJ+SdPX5fPrCq2wgKCWWtpKvpaQck7FNp3RektdBEsIOh6Ps6ly3243W1ta8Py/0XGQTgaZpeuepQhsmnE4n+vr6cmJKAHpcWavq4mQyia1bt2JsbAz9/f0VV5s0Njaio6MDIyMjGBoaqig2lM0D1a7els2qkriVZH/2Inw1Htfr9aK3t5dVO0RElFdHRwfGxsYsYzuJAUqJKxOJREn5GCkMKWWBXBaj8z228XKp1Ha73XqsZmzhbmxjnn2OjcfjevxmPB9L5avkK+U5ykZO49gceU6l5rFUVYXL5cobVxrP3aqq5pzL5Rg9Ho9eGFWq1tbWgrm7QnGl3E7iymLxdHNzM5qbm03xpNzWGFPWIq6MRCIYGBiA2+1Ge3t7xffT3NyMRCKB4eFhDA8PV5TzK2W8VSXkMx2NRvXvSfKdypgHr0ZhT6FRjzQ3cWGciEri9XrzVoi43W7E4/GSFnqlvU+p1SZyIrRaIM83+yZbNBrVd9dJlY6c0GXxFTAHT5KIzK5+AMzzcqSdkezalAoeqRrKfo6S3HO73QWDiuwKDGOi0khO6MaqeCtS6SPHVUxnZ2dOW9BsHR0depunSCSC7du368duPI5i9wOMvy7VbuVdCkVR0NjYiFAoNOngSFpjeb1etLe3Y/Pmzdi2bVvJt6/l7ktgYpelyGQycLlceseHfG1KSyWJ6Ow2WkREREaKoqChoSHvwng5m8Si0WhZlanGVpjZs6wl9ir22DLLWOIWY8tJiYve3eXDL453Q9OAVDKhX09iSFlMB8yJQ5/Ppy8+yznZ2PHHeJtkMqnHf8WqKKQ16NjYWN7XV9M0vcOMPL5VzCibHbM3keYjs6ELxXmyCVc2Hrzzzjt6ZXL2rPhim+9cLte0xSIOhwMdHR16wnQy7HY7Ghsb0djYiEgkgg0bNpTVEr2WcaV8N5KN0QD0LllSeTbZuebBYLDoJl0iIiJVVeHz+XKqxgHo3W7KiRNLjStlYVlVVctqc4/Ho7d2z0cqkaWyWRaxjY8hMYWxi4/L5TIV3BhjUeMCudvtxujoqCn2k/nJxjgTGM/nSIFLsQpyuT8Z82MVnxjv19gZKpuxmCdf3tPI7/cjHA4XvE5DQ4Oec1ZVFRs3bgRQ2eKqLNxPB6/Xq2/2nCyn04nW1laEw2EMDQ1h06ZNJW+CyP5cVpvkq7M3dcjmy2pUind1daGxsXHS90OzCxfGiagkDocDnZ2dWLt2renySubWye6vck6sEphJ0lJ29pUa1Eg7TIfDobeiTCQSpoDQ6jFTqZQe9ElLxEQiYVrclkBWjtFYQSSBhiRhjRVLhRgTpsadq9mvtyTd0um03o4zX9AkrZiKVeFLEq6YQCCgt8v2+Xz6wnj27sNiQZws/E+nau8YtNvt6OzsRCgUypvIlAp/ee612H2ZzfhZz2Qypo0n0rqrXF6vF6FQCA0NDazoISKikoRCIYyMjOQkMSvpnJLdcrwYSc5J16Byz8PSWcg4nsT4+LIgqdrMs8glFlBVVW8HLjGSxLdjY2N6hYSMoonH4zmLwXa73fSYxWZlG1uJSnVQIpEwVWMYx9mUMpddno/VJgOj7u7uoglFVVXR1NRkuu8tW7boC/XZz6WQUjZk1lq140qv14uddtoJg4ODGBgYsHytjXFloQR0NUmlOGD+XiGf3XIpioJAIIBQKIRAIMCKHiIiKkpRFHR1deVUjdtstpLGPWaLxWJltW2WghgZgSjxXTlxZSaTMXXqkTgzmUxabkKU4gaJ4yRXmUwm9Qp546K88bqyqVQ2XtpsNlMXzlJGl8hrKiMk5ZikWyQw0QEpmUzCZrMV3XBgzLnmi2EcDge6u7tLigUlHtQ0Ddu2bdM37WUrVrRVq5na5ahmPKQoCpqamhAMBrFx40Y9j5t9HWOHqGIdQKshO7aV7xnZ33nKoaoqQqEQGhsbZ8T7SDMPF8aJqGSBQABNTU2mKthKd25Jkq/chbjJnIyNs1aMi9bSslN+nkql9CoVSW46nU5TMJA9dzG75ZDb7daDYXmexp+X0nJegjapwJakqtfrRTqdzpnHKDMMrXaqyq5QeV6ysJ9d1e71etHR0VH2a+twOPRAOztoK7YLcTYHKJLI3LBhA3bs2KEnrmUeUS13XeZjtVGh3C+LDocDoVAIoVBoVr9/RERUO9J5xrj5sdLFPIk/yqmoMG5qLIcsMkvVSfYsx3Q6DY/Ho1eWS4tyAHpMaGw9mW/GuDwX421lHmJ228pildsSr8uCfCqV0hedZXNALBbTk6FSgZSdLJS2oRJTGh9fkrRGra2tCAaDJbyqZsFgEFu2bCn7dsDsjSsVRUFLSwuCwSDWrFmjbxSe7rjS6jHL/T12u91obGzUK7yIiIjKYbfb0d3djbVr1+rxk7GKuhwyp7vcXKXk6MolxTvGzZby2FKR7XA49LhSnpPNZtOLdowb4rIX9Y2FPsB4nJROp/WFfMB83pZNb8UWi2WxXRbvjfO17XY7EomEfiwyT9zqfiQ3a+y2I4vaxthYOhBVEicEAoG8MX+xRefZGleqqop58+YhGAxi/fr18Hg8ercoiS2nmtXGBenMUCpFURAMBhEKheD3+7nJkgritw4iKpmiKOjo6IDdbseWLVsqWtg2qkY7mFLJHHQJhrIf2263Y3R0VE8YygKyVJknEgm43W698hyAaSHamHCUgNM4RzJbIpHQrycBosynkTaSUtErCVZpvSnBsuwMNSZDpcJIAt1YLJbz+MaWRjabDT6fD9FoFKqqFm11mU3TNAwNDWFgYEC/3+zkbLH5nzOhsqeWFEVBZ2cnNm7ciFgsNi0BplGlm1mk9W0oFILP52OASUREk+JwONDf3481a9YgFouVPC/cisRKU9F9RRayjS0rjedEYxwoo4iMcZrD4dBbmgPQx/BIVyK5vbTGlDFExg2Z2axafxoX7CX5Kd2FpLW6pml663RjQlKSlFKFLGKxWM7jS1zj9XrhcDj0WDkUChVtdZktnU5jy5YtGBwc1O/bONZIXpdCZmsCUzidTvT39+Ptt9/OaTM/1cqpqMsmVTyhUGjWfxcgIqLaCwQC6O3t1btcTiYmjEajZW+4rFQqlYLP59M3PRpnWRuPRyrBZVZ4JpMxFV5IHlAqtI2jHoGJUZQStxZayJfioewZ6DLqEZjocik5VIn/ZBa1scumtGc35iqlK5IVm80Gp9Opb8ZMJpOYN29e0XE62aLRKDZt2qS/tlYxU6E4aiZ0t6y1hoYGKIqCgYGBijYMV9Nkcowej0ffZMlOllQqLowTUVkURUFbWxvS6XTe2ZClmsqFcZvNprc3stvtevWOtFI3BmlSXS2BGDCevDEmDKVVulRryHwfuV12JY+VTCajB5vGXZVWbWIkIJVAWH4uCVRjpVGpu+kkySiL65XsvpRqK+Nu0lgsZvoSIc8tX9A92xOYwMSmEpltNBXtLfMpN4Hp9XrR2NiIYDDIAJOIiKpKVVV9kW+y58ap2rAlMY2maXqljLEKRqq6jW0qjd2JNE3TOw0ZYyXZ+JhMJvUuPKXOPQfMSVxZTJa413j77KoiVVX1RJhU/0iytJyYQeZsptNphEIhdHZ2lv2epFIpjI6Omr4jGOcNynUKJavnQlzpcDhMyf/pWhyX97tU0iq9sbGRVTxERFR1fr8fPT09GBgYqEpcORU5S+lOCUxUdxsfW3KEch1Z1JYNlqqq6nGocea4jJCUBXRjgU255LgkPjXGZXJcUjgkfzd20Cy0udNKJpPRjz+ZTKK7u1sf41iORCJhWtxPJpOm8ZSyiTRfl8u5EFMC0Ls7bdmyZUo2GVcLW6XTZHFhnIgqYgzeKiUJv1onc6QCPLsaRtoOSSCZPSMykUjkVPd6vV74fD69mts4/0dIFVApQZ8cS/bCtlXVk8fjsWxTaZwVXYl0Oo3+/v6i8x+t2Gw2dHR0wO/3Y/369Xp7d+PMSpk7qaqq3kLJ+HrNlQDGuDhezsypaislgckAk4iIporMr5usSitXyyWVPDI2x+Vy6QvbEmtKa2tjnJt93nc4HHA4HPD7/fpir1QECVnczq6azkcW6uW1kGpzqw2KMmonu4X7ZGLKVCqFYDCIzs7OiipsXC4X5s+fj82bN+tV49nHIxsKJAErrzVg7tw028mm1nXr1ukbfadaqa+1y+VCY2MjQqEQW6UTEVFNORyOquRaKm3FXq5UKqVXSMuoHmA8/pG8q3RWMj4vqxGKbrdb35CZ3XpdbmO1qdOKxIfGhe18IzFVVdXnuWff72Tei1gshq6uLoRCoYpu39DQAI/Hg/Xr15ta0Avj62R83eU5zKVcWDAYhKIo2LJly7QV8hT7TIpgMMhNllQV/FZCRBXx+/2mdj+VmkzbzFIZAzlJLLrdbj1JaHz87MVxK5lMxhTcWZ2IZeZksSSmcZZQ9uXGJKbX69UDU7vdbtleqRIulwt9fX36TMlKBQIB7Lzzzti2bRui0aipm4BxlrskLqWtklTbzxWyOL5p06aic3vcbrfehaBaStmI0tHRgaamJgaYREQ0ZRoaGnI60JSrkjnjlZDEHwDTPEggt3JXNmZanXuN1T2F4gEZpVMKm82mdyASsonTuHAqMZh0TKpWAqyhoQHd3d2TiiFk02UgEMDw8HBOlyp5HsYFfdlkUMkmz3rmcDgwb948vPPOOxgdHS143eyNvNVQ7H1WVRXd3d0cwUNERFPG4XAgFApheHh4UjFhNfMw+WTHbDJLXDaRyc+ki0+hc3kmk9HHKcqxWz3/UmM/TdMsc77RaNR0e5vNphfIyMJ+NVpyK4qC7u5uNDQ0TOp+ZATN0NAQRkZGTDG5vE7ZOV6XywW73T7nRr1IVf7WrVsL5vqNY0Crqdgmz0AggK6uLm6ypKrhJ4mIKuJ2u9Hf34/XXnttUkHPVLZTByZ2ByqKos/jyZZvcTxf8Jgv0ZPd+tFKvgoPqUCKx+P6wnEmk9GPQRKaiUSi4goRt9uNvr6+qgUVqqqitbUVwHgSdmRkBENDQ5Y7RGVhPxgMzpnKHqEoCtrb25HJZCw/Hw0NDWhubobH40EsFtNnSFqRGfFSiV/sy1+xhfGOjg40NzeX/6SIiIgmoampCV6vF6+//nrF9yEjcmpNHkOSj4VIxbaqqqZzuYzjsYorrZ6Hsb16IcZkaPblLpdLb+OeSqX0sUAS96ZSqUkluBobGytqn56P3++H3+/Xu+yMjIxg27Ztls8vmUzC6/VW1Gaz3jkcDnR1dVkujttsNjQ1NaGpqQkOhwNbt27F5s2b896Xqqr6rPhIJFK0yqvYZsv58+fPuc0KREQ0vWw2G7q6uuBwODAwMDCp+6k1WVQGJvKNDocj7wg7GdeTfX7Ot2CeLzdUarxX7PbGUY9yXRkflEqlKi6CUhQFPT09VYvrFEXR46FMJoPR0VFs374d27dvt7x+PB5HOBzWN77OJYFAQC9qyv7e4XK50NLSgoaGBmiahnXr1hXcmOnxeOByuaCqKoaHhwtugC6Wq/R6vejp6eFGS6oqLowT0aQ4HI5Jt/GeCqqq6i2VnE4notEo7HY7bDYb3G63PvsmHo8jnU4jEonA5/Pp88aNs3qk1aWQAFB+Jq3NiyVL5bHz7dSU2UKSsDQmSo33XUkFiMfjQW9vb8122qmqiqamJjQ2NmJgYECv+JHjVxQFwWAQ4XC4Jo8/0ymKgnA4jEQioe/EVBQF8+bN0+f7AOPv00477YS3337b9B47nU799TV+aQqHw/rrbaXYFyDjYxMREU2lyXavkbndtSabF6VlurFqXMbhpFIpveWl/L8k19LptN5mXcb5GGNpl8ulV+MAE60y8yVJhbQRzxeX22w2RKNRvV2kcaaiPIZ09Cm37WVzczPa29trkqxSFAVerxderxdNTU145513EIvFTN8h7HY7mpqa4PP5qv749UBa8ieTSf39dzqd6O3tNXVmCofDcDqdWL9+vSnZ7fF40NLSorfRBMY/5zt27MDmzZstP1PFOmN5vV4uihMR0bSph6pSOed6vV499tI0DWNjY/B4PHoeUgohZGa2xIiapunxnHGRWsh5WnKPwHjMZzUSMpsUalhJpVKmueNOp1N/Lul0Wn8uNptNn4leKpvNhp6eHvj9/pJvUw6bzYZgMIhgMIiGhgZs3rw5p7W82+1Ga2vrnF2EDYVC2LFjh/75k8uyRyX19vZiw4YNGBoa0i9TFAUNDQ1oaWkxVdy3trZicHAQW7dutfw8FFsYb2homLPvB9XOzD9LENGMNtlgcyoWxiUQk91p8t90Oq0nYTVN0xeivV4vMpmMZcsgadVoFIvF4Ha7EY/H9UocqQyS3ZxSLSRzNKV9pbHFuwS1mqbpcx9lB6nsHM1kMjmJqFgsVtasdq/Xi97e3qIJ1mpQFAVtbW1oa2sDMFEhL60+5zKn0wm/369/Nnt7e+HxeHKu53A40N/fj2QyafoM5bvP7u5uhMNhbN68GSMjI/rPilWaeTyeSS9KEBERVUqqqCtd3J6qDjT5ZldKTKtpGpLJJJLJpL74DeTOgpSxO1aMXYoklpR4UhJUshAuSUfj/TudTr3tptxfMpnUk6zGpGp2y81yY/NwODxlyUNphwlMHGs6nTYlZOeq5uZmPYkpVTVWsXZDQwPcbrfeqlVVVcvXTjaxBgIBbN++XU8ci2KdseZi9T4REc0c9ZDbsNlsepcWIblE47nZOO9bWpZbnYOz80myYJ7JZHLiSuP9S2tsyTUZF7flclmAt9vt+gZRY7zqdrtzumwau16W+nr09fVNWaW2LJADE5sMgPr47NSSoihobW1FKpVCJBJBe3s7mpubc+JFRVHQ2dmJpqYm2Gw2qKqqfy/JZrPZEA6H0dTUhK1bt2JwcND0na9YwR3jSqoFLowT0aQEg0HE4/GyK0tEoYrpaonFYqaqCOO8x+xZlJqmIR6P502uqqqac7wyJ13uJztBJ4GgJEmL3a8snMviuSQoJaGpKIrp8bxer2lRvRC/34+enp5pa18uCVwa19LSAlVV4ff7Cwbf8mWkVC6XCz09PYhGo9i8eTNGR0eLvu4MNImIaDopioLGxka9y0y5EolETsvyapNqbiN5PJnZaJRMJgu2XDdWbRsZY03jLEe3263HqvliSom1JGHqcDj0aiPjps9EIgGn02mKxWVzp91uLym2b2trm7buP7LptB4qwqaCzOIcGRlBU1NTwY0CxiryUu43FAqhoaEBQ0NDGBgY0FvxF8K4koiIppPL5YLf78fY2FhFIxynoojHZrPlnE8lbyPV2NKhCMid721UqOOPcdFRxutIN81kMmnaTGl1jPL4iqLomzqzN2XKuERjIY8cf7EuM8B4DNrX12dZLDIVZNwmjZOqeU3TCsZ0iqKU9Z7Z7Xa0tbWhubkZW7ZswbZt2+ByuQrGldKVgKja+C2SiCZFdtitX78+b/tmKz6fT2+tYqys0TQNPp+vYDvocuSrkpVkUXZwpigK7Ha7ZdAmLTGNpIo7O4iUao1SZoBnn+AlaDcGmTL7MR6PI5PJ6JXt2VXn+RKswHjrm66urjlfUTOTyCJArXg8HvT19WFsbAybNm0qeF0mMImIaLp1dHSgvb0dq1evLqtyvLGxEaFQCA6HA+l0Wo8rXS4XMplM3nbQ5bLapGY8zuxEpdPpzPu4VonNfMlOSY7mm0surJJ6El/LAr6qqnA6nYjFYnq1uFwWiUT0+y9W4dPV1VXTGIbK53A40NzcXJP7lvmcoVAIQ0NDBWeVOxyOshbfiYiIqs3pdKKvrw87duzA22+/XfLtVFVFOByGz+eDzWbTZ2Unk0kEg0Fs3749bzvochWLTbN/Xig2s1r8t5pHbuwOlF0olM3YDVMWvrNHABlH/0jnJ2mhLYudiqIU7GBoNf6Fpl+t2tkD479nHR0daG5uxuDgYMGFceYqqVa4ME5EVeHxeEpayPZ6vWhra8uZAZi9OCztoN95551JVZQ7HA4oioJUKqUnBKXi2kqxuYqy2C2zIa0WxUU0GoXP5zM9rvG/6XQa8XgciUQCyWQyJ8g1BqmyS1RmPyYSiZzXJZFI6G01s6ulprLNJc08Pp8P8+fPx+DgIAYGBnIWG7xer2n+DxER0XSRWKeU+C8UCqG1tTUnjsyuXJB20Bs2bJjUHHKplDF27slXpS7xWL6Eo7S3lM5GHo+n6KK3zDeXzkJyOTARV8bjcTgcDtPsSGPXGBnRY7PZ9MeVWehGxrnp2c9r3rx5TFLNUTabDc3NzQgEAti0aZNpbI+wardJREQ0HUrNc9jtdr3VszFuyo4x5ToDAwMYHBys+Lhkw6MsvIt8cWOxOFFanMvis9WiuEilUvD7/fqsceM5W+LNZDKJVCqlV6nLZkop1DHmKqPRKOx2u94aPnuRU7odWc0193g86O3tZQegOcrpdKKjowOBQAAbNmywLF5ramqapqOj2Y7/6hBRVRRbFJcKcb/fX3KixOVyob+/H9u2bcPY2BgikUhZ7TEVRTG1TZJkZiKRyBtsGo8tO9FpXFyX4LjQLlFN0zA6Oqo/l0wmk7d9kMfjMe2elJniEiDLcWmaVnAnncyhNt5WduHR3KYoClpaWtDQ0ICNGzfqiUyv14vu7m4mMImIaEaw2vxnJLOPW1tbS64skXbQXq8Xg4ODiEQiOaN2ivF4PKZW5LIZMV9clslkTAlKu91uihuNVTSlzF80Xl+SnfmOX5KTQjoZRSIRaJoGRVH0DQKFNoRmL45Pd5tLmjmcTid6enowMjKCjRs36t87mpqamMAkIqIZY/v27QV/rqoqmpub0dTUVPL4Orvdjo6ODvj9fmzfvh3RaLTszkQ2m80UgzmdTn2R2Ypx8Vw2NxrjQGOs5na7TTGrFclVSv4w3+NKtyKJaeU4JOdoHClZrIo+FouZFuz9fj/mzZtX1thAmp38fj8WLFiArVu3YsuWLdA0DXa7HZ2dnWyjTjXDhXEiqgqv14toNKovvqVSKYyNjSEQCKCpqaniljiKoqC5uVlf2E0kEohGo3qrx0JJTbvdblrYll2KVhwOB+x2O+LxOHw+HzRNQyQSybvLMpFIwOPx6K2CijHu2rRqry6V58YFbblOodmUVlKpFGw2mz4TJhgMlnxbmv0cDgd6enr0Flp2u52L4kRENGM4HA49HnI4HGhsbMTo6ChSqZTeyrnSqhKpSgDGY69YLKbHlMU2YGafK/N1HwLG4z1ZgJYWk7FYzLJlpcScpSyOG68vlUFWFd0yPzLfsZUyP1xIPJzJZNDb28vkFJkEg0EEAgG9iozzOYmIaCaROAwY7yDkcrmwY8cOOBwONDU1IRAIVJwPCQQCegcd6cgTiUT0nGWhXKHVOMZCzyGVSum5ylQqBbvdbhnPpdNpxGKxkuZ6AxMFQE6nE4qi5ORMpYtT9uK13W5HMpks+7WTCnSn08lRj2Ris9nQ2tqKcDiMdDqtjzolqhUujBNRVTidTn0Bu5YJM6fTCafTiYaGBgDjSc2xsTEMDw9jx44dpsCz3FaZsvgsgSQwHrTla5EZjUZhs9nKSjDK5gHZSKBpWk61kSRNZTaPoihlJTBFe3t7TWfCUH1TFIXtqoiIaMbRNA0+nw9OpxMtLS16kqTabDYbvF6vKWGaSCQwMjKiV/9Uwul06rfN3kBZaL6iVONkMpmCi+5CErCyuVNiSUlgxuNx02K7JD0rmbWeyWTQ19fHRU+yJIlLJi+JiGim0TQNjY2NCAQCetFIe3t71R/HbrebFsql2+P27dsxPDyck1M0dvYpxBjLqapq2hCZb1OlVG8b847FyCK6x+MxtXeXODYSiZgW2yWOrmT0pdvtRnt7OxfFyRJzlTRV+CkjoqqYrlbdNptNDz4zmQx27NihL5KXOp8SgKkyKbs6u1D1kMzXKUd2pY+xXVIymTQttEv1RTlsNhv6+vpMiV4iIiKiemCz2dDd3T0tjy2L8S0tLYjH49i+fTuGhoaQTCZLjseSyaQ+QzE7Fi2WBI3H42V3WUomk/pjptNp03FGIhH9WKTbUSnVQ0Zutxt9fX1MUBEREVHd8fl88Pl8U/64MvrG4/Ggra0NkUgEw8PDGB4ehs1mKzkeky5/6XQ6JzdZbMG70BjJfCQX6fV6kUgkTPlR47FEo9GS57cbhcNhtLa2clGciKZdaduTiIjqgM1mQ0NDA3p7e9Ha2lqw/bjL5YLdbtdnJEoLy2QymZOQLFYdU87ccyOp9MlkMqZEqbQWcrlcSCaTZd2/3W5Hf38/F8WJiIiIJsHlcqG1tRU77bQTgsFgwbjS6/XqM8elQkhV1Zzq7GKV4A6Ho6KKbmC881EymcxZfE8kEnA4HHrVUDk8Hg/6+/u5KE5ERERUIUVR4PP50NXVhb6+Pr1DUD5Op1PPVcbjcT0Oy47Hii0uT6abZyQSgaZppvxoOp2Gqqqw2WymDkmlam1tRVtbGxfFiWhG4MI4Ec1K4XBYb7duRXY5SpDpdDoRiUT0AM3n8+ntNVVVzVu9U+rcnkLi8ThsNptpAT4SiZS9u9Nut6Ovr08PoImIiIhoclRVRWdnZ8GNklK1LfGizIJUVRUOhwMejwderxd2u73g5sVqtCqXmeAik8nomzHL4fV60dfXx/bYRERERFXi8/kQDofz/lxyjNFoVI/nJC8oVeiSq0ylUgXjylJG8xQiOVNjXCkbOMvdyNnW1laT0UhERJXi1m8impUURUFnZ6c+Q0jTNAwNDWHHjh0AxgM8YGJejvxXZi/a7XZTAjHfYrOqqpNeGAfGq85tNpve7lKOuVSqqqKvr6+iVkZERERElJ+qqujv79djtGQyia1btyKZTEJVVT3xGI1G9c2WMqZH0zRommbqAGSM94yqEVPKcUjnoUrG8vh8PvT29pY8/5KIiIiIShMIBDB//nw9NoxEIhgcHISmaaYcYywWg8PhQCKRgNfrxdjYGFwul2lROpVKQVGUnPxhNYp4hHS1lBxpuXFlR0fHtI3fJCLKhwvjRDRrKYqCQCCg/z0YDGJgYAADAwOmRF8mk9HbqEuAKTsvM5kMYrEYotEoFEWBy+WCzWbTd05W2u7SijyWccZ4qfr7+8ueSUlEREREpXE6naaWlI2NjXjjjTf0zj+SJDTO8s5kMnA4HHqsKQlFSXSqqgpFUZBIJKCqasF27eWSrkg2m62ssTwej4eL4kREREQ1ZKz0DgaDCIVCeP31100L3JqmQVEUuN1uPYa02+1wOp1QVVUfzQhAv8w40qdaC+PAREeiStqnc1GciGYiftslojlFKsiNM23cbjdSqZSpzZAEmcZWRYqiIBaLIRKJIB6Pw+l06pXn1VTuvJ2GhgYuihMRERFNIZvNpseVxhboXq8XiURCjxElwSnVNh6PB263G8lkEtFoFJFIBKlUqiYtyyu535aWFi6KExEREU0ht9utd7AUdrs9Z+OkbKhMJpNwu93wer16VXkkEkE0GoWmaZNuo26l3MIgm83GRXEimrFYMU5Ec4qqTvyz53A4YLfbc6pznE6nvgvSuBtSURR4vV7E4/GaLIiXy+v1wufzobGxcboPhYiIiGjOkQXxdDoNt9uNTCaTM8tbWqsDMP3M6XTCbrfrsWY5I3SqTVEU+P1+eDwefbGfiIiIiKaOxJXSOl02UApjF6BkMmla/PZ4PMhkMlXtapnN2CGpEIfDAb/fj2AwWJONn0RE1cCFcSKaU+x2O8LhMCKRSE4gKRRFgd1uz2k7qWmaXkXu9XqnLYHp9XrR3t5uar1ERERERFMrGAxiaGhIb1uZj9XsR2lvKS3VaxVXFktghkIhtLa2mtrEExEREdHUCofD2LJli+VGS5Gvw6RstHS73dA0rawxOqUq1lHIbrejtbUVjY2N7D5ERDMeF8aJaE5RFAWtra3YuKlh7p8AAQAASURBVHEjxsbGLK8Tj8dht9vhcrmQSqVyqsNlgbxWgV6+BKbL5UJbWxsCgUDZ7daJiIiIqLpUVUVPTw/eeuutvNeRmYzG9upGslHT4/HU7BitNoIGAgG0tbXB7XbX5HGJiIiIqHR+vx+apuHtt9+2/Hkmk0EsFivYyVI2arpcrqp3ukwmk5ZV49IyvaWlhRXiRFQ3uDBORHOOoijo6OhAIpHA6Oio5XXS6TTS6TRUVc3bLiiTycDj8ZjarVdDLBaD0+nUK4lUVUVbWxtCoRAXxImIiIhmEIfDgb6+Prz++ut5NzdKrOj1evNWANWq9WV2UtTj8aC9vR0+n68mj0dERERElQkEAujs7MSGDRvyXkdiSbfbnbdjUS0KeTRNg8fjMcWyTU1NaG1tNY2tJCKqB+xrQURzkqIo6O7uLjpHMZVKFWwtWatZ47LLsqGhATvvvDMaGxu5KE5EREQ0AzkcDvT39xetkpHqcSu1qrBJJBLweDxQFAXt7e2YP38+F8WJiIiIZqhQKITOzs6i10skEnnjx1rlD2OxGBRFgcPhwPz589HZ2clFcSKqS1wYJ6I5S1VVdHZ2Fg0YpVVRNq/Xq1d1V1ssFkNXVxe6u7vZioiIiIhoBlMUBR6PB21tbUWvG4vFLBOItZzFqCgK+vv70dLSwo2WRERERDOYzWZDU1NT0Y2MmUwGDocj53JVVfN2KJqsTCaDpqYmLFiwwDJPSkRUL7gwTkRzmqqqaGhoKHq9SCQCl8ul/91ut1e9hbrxmObPn88qcSIiIqI6EgqFii5wa5oGm81mivE8Hk/NWqn7fD709PQweUlERERUR5qbm4tex6qQx2qxvFra2trQ3t7OAh4iqntcGCeiOa+xsbGk68XjcXi9XiiKApfLBU3Tqn4sXq8XCxYsyNtmk4iIiIhmJpvNhlAoVPR60vrS7XZDURQkk8maHE9zczP6+vrY4pKIiIiozgQCgZJiuEgkArfbDYfDAZfLVZMiHpvNht7eXoTDYRbwENGswG/IRDTnlZMsjEQisNvtNWlL5PV60dfXV9NWmkRERERUO6XGlalUCqlUCg6HoyYL462trWhtba36/RIRERFR7SmKAlVVkUqlil43FosBQE0quW02G/r7+1nAQ0SzCldfiGjOU1W16Oweo3Q6XfVjcDgc6Onp4aI4ERERUR3zer1lJSVrsSje0NCAcDhc9fslIiIioqkTCATKun4t8pXd3d1cFCeiWYcrMEQ059ntdvT19aGnpwdOp3PKH19aErHNJREREVF98/v9WLhwIVpaWqal1aTH40FXVxfbXBIRERHVuba2NixYsAB+v39aHr+1tRXBYHBaHpuIqJa4CkNEhPEWRcFgEH6/H8PDw4hGoxgaGpqSx25vb4fb7Z6SxyIiIiKi2rLb7Whvb0djYyO2bduGSCRSk3mP2RRFQXd3NzsQEREREc0SbrcbfX192LFjB3bs2IGRkZGS2qtPltfrZQciIpq1uDBORGRgs9nQ1NQETdPgdruxcePGmj6e2+1GY2NjTR+DiIiIiKaey+VCR0cHkskkNmzYgB07dtT08VpaWuByuWr6GEREREQ09QKBAAKBAEKhENauXVvzxfHOzk52ICKiWYtbyYmILCiKgqamppoHggw0iYiIiGY3h8OBrq6usudElvsYrOohIiIimt28Xi96e3vhcDhq9hjNzc3sbElEsxoXxomI8pDF8e7u7prcfygUgtfrrcl9ExEREdHMoaoqenp6ajansaOjgy3UiYiIiOYAj8eDBQsW1CT2U1UVra2tVb9fIqKZhN+ciYiKcLlcVa/qttlsaG9vr+p9EhEREdHMpShKTapv/H5/TavRiYiIiGhmsdvtcDqdVb/ftrY22O32qt8vEdFMwoVxIqIi3G43+vr6qroTs62tDaqqVu3+iIiIiGjmC4fDaG5urtr9KYqCjo4OjuYhIiIimmP6+vqquunS6/UiFApV7f6IiGYqLowTEZXA5/Ohv7+/KovZqqqiqampCkdFRERERPVEURS0t7dXrUVlY2MjXC5XVe6LiIiIiOqHqqro7++Hz+eryv21tbVxsyURzQlcGCciKpHH40F/fz8cDsek7icYDDLQJCIiIpqjFEVBa2srOjs7J31ftZpZTkREREQzn91uR29v76RjQrvdDq/XW6WjIiKa2bgwTkRUBpfLhfnz58Pv91d8H0xgEhEREVFTUxPmzZtX8aZLu91etQohIiIiIqpPNpsN8+bNQ3Nzc8VjIFnEQ0RzCRfGiYjK5HA40NvbW1HbSiYwiYiIiEg0NDSgt7e3otsGAgEmMImIiIgIiqKgo6MDzc3NFd2eRTxENJdwYZyIqAKKopQ1e8fr9eqzxZnAJCIiIiLhdrvR0NBQ8vWlc1GliU8iIiIimp2am5tL7kZks9ng8/ngdDon1RmTiKjeqNN9AERE9SoYDCIUCmFoaKjg9RRFQU9PDxKJxKTnkxMRERHR7NPd3Y3R0VGk0+mC1/P5fOjt7cX27dvh8Xim6OiIiIiIqB6oqoquri6sWbOm6HXb29vR0NCASCTCIh4imlPKqhi/5JJLoCiK6U97e7vp54sWLYLP50NjYyMOO+wwPPXUUwXv8+CDD865T0VRcOyxx5qud80116C/vx9utxvvec978Oijj5Zz6ERENVFKpU5TUxNUVYXX6+XCOBERERFZamxsLHqd1tZWKIqCUChU+wMiIiIiorrj8XjgdrsLXsfhcCAUCsFutyMQCEzRkRERzQxlt1JfvHgxNm7cqP954YUX9J8tXLgQP//5z/HCCy/gscceQ19fH4444ghs2bIl7/3dfvvtpvt78cUXYbfbccopp+jXufXWW3H++efjoosuwj//+U8ccMABOProo7F27dpyD5+IqKrcbjf6+vryBpGKoqClpWWKj4qIaObjhksiogkSM3Z2dkJVrRu7eb1e+Hy+KT4yIqKZjTElEZGZ3W7HvHnzEA6H816npaUFNhun7BLR3FT2v36qqqK9vV3/Y/wH9owzzsBhhx2G+fPnY/Hixfjxj3+MkZER/Otf/8p7f01NTab7e+ihh+D1ek0L4z/+8Y/x8Y9/HMuWLcOuu+6Kq6++GvPmzcMvfvGLcg+fiKjq/H4/2tvb4fV6c37W2NjIKnEiojy44ZKIaIKqqmhqakJbW5vl4nih5CYR0VzGmJKIyMzlcqG1tdWyI5GqqiV1KiIimq3KXhh/7bXX0NnZif7+fpx++ul48803La+XSCTwq1/9Cg0NDdhjjz1Kvv/ly5fj9NNP13fCJxIJ/OMf/8ARRxxhut4RRxyBJ554ouB9xeNxjIyMmP4QEdWCy+VCX1+faXHcZrOxWpyIqIB62XDJmJKIplJjYyN6e3tNsx69Xi/8fv80HhUR0cxVLzElwLiSiKaOoijo6upCW1ub6fJwOMxqcSKa08r6F3CfffbBb37zGzzwwAO47rrrsGnTJuy3334YHBzUr3PPPffA7/fD7XbjqquuwkMPPVTywtDTTz+NF198EcuWLdMv27p1K9LpdM4/4G1tbdi0aVPB+/ve976HhoYG/c+8efPKeLZEROWx2Wymf2c6OzvhdDqn8YiIiGa2etlwyZiSiKaax+PRWwHbbDZ0d3ebFsqJiGhCvcSUAONKIpp6LS0teiGP3+9HU1PTNB8REdH0Kmth/Oijj8YHP/hB7L777jjssMNw7733AgBuvPFG/TqHHHIInnvuOTzxxBM46qijcOqpp2JgYKCk+1++fDl222037L333jk/y04CaJpWNDFw4YUXYvv27fqfdevWlXQcRESVstvtaG9vR3NzM0Kh0HQfDhHRjFVPGy4ZUxLRdAgEAggGg+jq6uJmSyKiPOoppgQYVxLR1FMUBeFwGH6/n5stiYgA5A4uK4PP58Puu++O1157zXTZggULsGDBAixduhQ777wzli9fjgsvvLDgfUUiEdxyyy249NJLTZe3tLTAbrfnBJYDAwM5AWg2l8sFl8tV5rMiIqoc26cTEZXm6KOP1v9/9913x7777ouddtoJN954I770pS8BmNhwuXXrVlx33XU49dRT8dRTT6G1tbXo/VdzwyVjSiKaDk6nEz09PdN9GEREM1o9xZQA40oimh6BQACBQGC6D4OIaEaY1DCJeDyO1atXo6OjI+91NE1DPB4vel+33XYb4vE4zjzzTNPlTqcT73nPe/DQQw+ZLn/ooYew3377VXbgRERERDSjFNpwuXTpUixfvhyqqmL58uVF70s2XBore4DJbbgkIiIiopmPMSURERERFVLWwvhXvvIVPPLII3jrrbfw1FNP4UMf+hBGRkZw9tlnY2xsDN/4xjewatUqvP3223j22WexbNkyrF+/Hqeccop+H//93/9tWT2+fPlyfOADH0Bzc3POz770pS/h//2//4df//rXWL16Nb74xS9i7dq1+PSnP13BUyYiIiKimYYbLomIiIhoshhTEhEREVEhZbVSX79+PT784Q9j69atCIfDWLp0KVatWoXe3l7EYjG8/PLLuPHGG7F161Y0Nzfjve99Lx599FEsXrxYv4+1a9fCZjOvx7/66qt47LHH8OCDD1o+7mmnnYbBwUFceuml2LhxI3bbbTfcd9996O3treApExEREdF0+8pXvoLjjz8ePT09GBgYwGWXXWbacHn55ZfjhBNOQEdHBwYHB3HNNddYbrjs6urC9773PdN9F9twedZZZ2GvvfbCvvvui1/96lfccElERERUpxhTEhEREVE5yloYv+WWW/L+zO124/bbby96HytXrsy5bOHChdA0reDtzjvvPJx33nlF75+IiIiIZj5uuCQiIiKiyWJMSURERETlULRiK9KzyMjICBoaGrB9+3YEg8HpPhwiIiKiujTXY6q5/vyJiIiIqoExFV8DIiIiomooJ6Yqa8Y4ERERERERERERERERERFRveHCOBERERERERERERERERERzWpcGCciIiIiIiIiIiIiIiIiolmNC+NERERERERERERERERERDSrcWGciIiIiIiIiIiIiIiIiIhmNS6MExERERERERERERERERHRrMaFcSIiIiIiIiIiIiIiIiIimtW4ME5ERERERERERERERERERLMaF8aJiIiIiIiIiIiIiIiIiGhW48I4ERERERERERERERERERHNalwYJyIiIiIiIiIiIiIiIiKiWY0L40RERERERERERERERERENKtxYZyIiIiIiIiIiIiIiIiIiGY1LowTEREREREREREREREREdGsxoVxIiIiIiIiIiIiIiIiIiKa1dTpPoCppGkaAGBkZGSaj4SIiIiofkksJbHVXMOYkoiIiGjy5npMCTCuJCIiIqqGcuLKObUwvmPHDgDAvHnzpvlIiIiIiOrfjh070NDQMN2HMeUYUxIRERFVz1yNKQHGlURERETVVEpcqWhzaFtmJpPBhg0bEAgEoChKTR9rZGQE8+bNw7p16xAMBmv6WDQ5fK/qA9+n+sD3qX7wvaoPM/V90jQNO3bsQGdnJ2y2uTeZZypjSmDmfg7IjO9T/eB7VR/4PtUPvlf1YSa+T3M9pgSYqyRrfK/qA9+n+sH3qj7wfaofM/G9KieunFMV4zabDd3d3VP6mMFgcMZ8MKgwvlf1ge9TfeD7VD/4XtWHmfg+zdWqHmB6YkpgZn4OKBffp/rB96o+8H2qH3yv6sNMe5/mckwJMFdJhfG9qg98n+oH36v6wPepfsy096rUuHJubsckIiIiIiIiIiIiIiIiIqI5gwvjREREREREREREREREREQ0q3FhvEZcLhcuvvhiuFyu6T4UKoLvVX3g+1Qf+D7VD75X9YHvEwH8HNQLvk/1g+9VfeD7VD/4XtUHvk/Ez0D94HtVH/g+1Q++V/WB71P9qPf3StE0TZvugyAiIiIiIiIiIiIiIiIiIqoVVowTEREREREREREREREREdGsxoVxIiIiIiIiIiIiIiIiIiKa1bgwTkREREREREREREREREREsxoXxomIiIiIiIiIiIiIiIiIaFbjwjgREREREREREREREREREc1qXBivossvvxz77bcfvF4vQqFQSbcZHR3FZz/7WXR3d8Pj8WDXXXfFL37xi9oe6BxXyfukKIrlnyuvvLK2BzvHVfJeAcDq1atxwgknoKGhAYFAAEuXLsXatWtrd6BzXCXv0znnnJPz+7R06dLaHugcV+nvk/jUpz4FRVFw9dVXV/3YyKyS9+qSSy7BokWL4PP50NjYiMMOOwxPPfVUbQ+UaoYxZf1gXFkfGFPWD8aV9YFxZf1gXEmMK+sH48r6wLiyPjCmrB+MK+vDbIspuTBeRYlEAqeccgrOPffckm/zxS9+Effffz9uuukmrF69Gl/84hfxuc99DnfddVcNj3Ruq+R92rhxo+nPr3/9ayiKgg9+8IM1PFKq5L164403sP/++2PRokVYuXIlnn/+eXzrW9+C2+2u4ZHObZW8TwBw1FFHmX6v7rvvvhodIQGVv08AcOedd+Kpp55CZ2dnDY6MslXyXi1cuBA///nP8cILL+Cxxx5DX18fjjjiCGzZsqWGR0q1wpiyfjCurA+MKesH48r6wLiyfjCuJMaV9YNxZX1gXFkfGFPWD8aV9WHWxZQaVd3111+vNTQ0lHTdxYsXa5deeqnpsne/+93aN7/5zRocGRmV8z5lO/HEE7VDDz20ugdEeZXzXp122mnamWeeWdsDIkvlvE9nn322duKJJ9b0eMhauf/2rV+/Xuvq6tJefPFFrbe3V7vqqqtqdmxkNpnz1Pbt2zUA2l/+8pfqHhRNKcaU9YNxZX1gTFk/GFfWB8aV9YNxJTGurB+MK+sD48r6wJiyfjCurA+zJaZkxfg023///fGnP/0J77zzDjRNw4oVK/Dqq6/iyCOPnO5Dozw2b96Me++9Fx//+Men+1AoSyaTwb333ouFCxfiyCOPRGtrK/bZZx/ceeed031oZGHlypVobW3FwoUL8YlPfAIDAwPTfUiUJZPJ4KyzzsIFF1yAxYsXT/fhUIkSiQR+9atfoaGhAXvsscd0Hw5NEcaU9Ylx5czEmLL+MK6c+RhX1ifGlXMT48r6xLhyZmJcWV8YU9YHxpX1Z6bFlFwYn2Y//elP8a53vQvd3d1wOp046qijcM0112D//fef7kOjPG688UYEAgGcfPLJ030olGVgYACjo6P4/ve/j6OOOgoPPvggTjrpJJx88sl45JFHpvvwyODoo4/GzTffjIcffhg/+tGP8Mwzz+DQQw9FPB6f7kMjgx/84AdQVRWf//znp/tQqAT33HMP/H4/3G43rrrqKjz00ENoaWmZ7sOiKcKYsj4xrpyZGFPWF8aV9YFxZX1hXDm3Ma6sT4wrZybGlfWDMWX9YFxZP2ZqTMmF8SIuueQSKIpS8M/f//73iu//pz/9KVatWoU//elP+Mc//oEf/ehHOO+88/CXv/ylis9i9qv1+2T061//Gh/5yEc4B6ZCtXyvMpkMAODEE0/EF7/4Rey55574+te/juOOOw7XXnttNZ/GrFfr36nTTjsNxx57LHbbbTccf/zx+POf/4xXX30V9957bxWfxexXy/fpH//4B37yk5/ghhtugKIoVT7yuWcqzlOHHHIInnvuOTzxxBM46qijcOqpp3J38wzCmLJ+MK6sD4wp6wfjyvrAuLJ+MK4kxpX1g3FlfWBcWR8YU9YPxpX1YS7HlOp0H8BM99nPfhann356wev09fVVdN/RaBTf+MY3cMcdd+DYY48FACxZsgTPPfccfvjDH+Kwww6r6H7nolq+T0aPPvooXnnlFdx6662Tvq+5qpbvVUtLC1RVxbve9S7T5bvuuisee+yxiu5zrpqq3ynR0dGB3t5evPbaa1W7z7mglu/To48+ioGBAfT09OiXpdNpfPnLX8bVV1+NNWvWVHS/c9VU/E75fD4sWLAACxYswNKlS7Hzzjtj+fLluPDCCyd1v1QdjCnrB+PK+sCYsn4wrqwPjCvrB+NKYlxZPxhX1gfGlfWBMWX9YFxZH+ZyTMmF8SJaWlpqVtqfTCaRTCZhs5kL9+12u76bjEpTy/fJaPny5XjPe94zI+Yg1KtavldOpxPvfe978corr5guf/XVV9Hb21uTx5ytpup3SgwODmLdunXo6OiYssecDWr5Pp111lk5SY8jjzwSZ511Fj760Y/W5DFns6n+nQIATdPY8msGYUxZPxhX1gfGlPWDcWV9YFxZPxhXEuPK+sG4sj4wrqwPjCnrB+PK+jCXY0q2Uq+itWvX4rnnnsPatWuRTqfx3HPP4bnnnsPo6Kh+nUWLFuGOO+4AAASDQRx00EG44IILsHLlSrz11lu44YYb8Jvf/AYnnXTSdD2NWa/c90mMjIzg//7v/7Bs2bKpPuQ5q5L36oILLsCtt96K6667Dq+//jp+/vOf4+6778Z55503HU9hTij3fRodHcVXvvIVPPnkk1izZg1WrlyJ448/Hi0tLfy3r4bKfZ+am5ux2267mf44HA60t7djl112ma6nMSeU+16NjY3hG9/4BlatWoW3334bzz77LJYtW4b169fjlFNOma6nQZPAmLJ+MK6sD4wp6wfjyvrAuLJ+MK4kxpX1g3FlfWBcWR8YU9YPxpX1YdbFlBpVzdlnn60ByPmzYsUK/ToAtOuvv17/+8aNG7VzzjlH6+zs1Nxut7bLLrtoP/rRj7RMJjP1T2COqOR90jRN++Uvf6l5PB5teHh4ag94Dqv0vVq+fLm2YMECze12a3vssYd25513Tu2BzzHlvk+RSEQ74ogjtHA4rDkcDq2np0c7++yztbVr107PE5gjKv19Murt7dWuuuqqmh/rXFfuexWNRrWTTjpJ6+zs1JxOp9bR0aGdcMIJ2tNPPz09T4AmjTFl/WBcWR8YU9YPxpX1gXFl/WBcSYwr6wfjyvrAuLI+MKasH4wr68NsiykVTdM06yVzIiIiIiIiIiIiIiIiIiKi+sdW6kRERERERERERERERERENKtxYZyIiIiIiIiIiIiIiIiIiGY1LowTEREREREREREREREREdGsxoVxIiIiIiIiIiIiIiIiIiKa1bgwTkREREREREREREREREREsxoXxomIiIiIiIiIiIiIiIiIaFbjwjgREREREREREREREREREc1qXBgnIiIiIiIiIiIiIiIiIqJZjQvjREREREREREREREREREQ0q3FhnIiIiIiIiIiIiIiIiIiIZjUujBMRERERERERERERERER0azGhXEiIiIiIiIiIiIiIiIiIprVuDBORERERERERERERERERESzGhfGiYiIiIiIiIiIiIiIiIhoVuPCOBERERERERERERERERERzWpcGCciIiIiIiIiIiIiIiIiolmNC+NERERERERERERERERERDSrcWGciIiIiIiIiIiIiIiIiIhmNS6MExERERERERERERERERHRrMaFcSIiIiIiIiIiIiIiIiIimtW4ME5ERERERERERERERERERLMaF8aJiIiIiIiIiIiIiIiIiGhW48I4ERERERERERERERERERHNalwYJyIiIiIiIiIiIiIiIiKiWY0L40RERERERERERERERERENKtxYZyIiIiIiIiIiIiIiIiIiGY1LowTEREREREREREREREREdGsxoVxIppTVq5cCUVRsHLlyuk+FFxzzTW44YYbci5fs2YNFEWx/NlUuuSSS6AoCrZu3Tqtx0FEREQ00zCmLB1jSiIiIqL8GFeWjnElEVWDOt0HQEQ0V11zzTVoaWnBOeecY7q8o6MDTz75JHbaaafpOTAiIiIiqhuMKYmIiIioGhhXEtFcwIVxIqIZxuVyYenSpdN9GERERERUxxhTEhEREVE1MK4kotmErdSJqC699tprOOOMM9Da2gqXy4Vdd90V//u//2u6zssvv4yjjjoKXq8XLS0t+PSnP40dO3bk3FdfX1/OTkgAOPjgg3HwwQebLhseHsaXv/xlzJ8/Hy6XC62trTjmmGPw8ssv69f5zne+g3322QdNTU0IBoN497vfjeXLl0PTNNNjvvTSS3jkkUegKAoURUFfXx+A/O2JHnvsMbz//e9HIBCA1+vFfvvth3vvvdd0nRtuuAGKomDFihU499xz0dLSgubmZpx88snYsGFDCa9sYS+//DLmz5+PffbZBwMDAwAATdPwP//zP+jt7YXb7cZee+2Fhx56yPL1IyIiIppJGFMypiQiIiKqBsaVjCuJqD6wYpyI6s6///1v7Lfffujp6cGPfvQjtLe344EHHsDnP/95bN26FRdffDE2b96Mgw46CA6HA9dccw3a2tpw880347Of/WzFj7tjxw7sv//+WLNmDb72ta9hn332wejoKP72t79h48aNWLRoEYDxYPFTn/oUenp6AACrVq3C5z73Obzzzjv49re/DQC444478KEPfQgNDQ245pprAIzvvsznkUceweGHH44lS5Zg+fLlcLlcuOaaa3D88cfj97//PU477TTT9ZctW4Zjjz0Wv/vd77Bu3TpccMEFOPPMM/Hwww9X/PwfeeQRnHTSSTjwwAPxu9/9Dl6vFwBw0UUX4Xvf+x4++clP4uSTT8a6deuwbNkyJJNJLFy4sOLHIyIiIqolxpSMKYmIiIiqgXEl40oiqiMaEVGdOfLII7Xu7m5t+/btpss/+9nPam63W9u2bZv2ta99TVMURXvuuedM1zn88MM1ANqKFSv0y3p7e7Wzzz4753EOOugg7aCDDtL/fumll2oAtIceeqjkY02n01oymdQuvfRSrbm5WctkMvrPFi9ebLp/8dZbb2kAtOuvv16/bOnSpVpra6u2Y8cO/bJUKqXttttuWnd3t36/119/vQZAO++880z3ecUVV2gAtI0bN5Z87BdffLEGQNuyZYv229/+VnM6ndrnP/95LZ1O69fZtm2b5nK5tNNOO8102yeffFIDYPn8iIiIiGYCxpTjGFMSERERTQ7jynGMK4moHrCVOhHVlVgshr/+9a846aST4PV6kUql9D/HHHMMYrEYVq1ahRUrVmDx4sXYY489TLc/44wzKn7sP//5z1i4cCEOO+ywgtd7+OGHcdhhh6GhoQF2ux0OhwPf/va3MTg4qLf0KcfY2BieeuopfOhDH4Lf79cvt9vtOOuss7B+/Xq88sorptuccMIJpr8vWbIEAPD222+X/fiXX345zjnnHHz/+9/HT37yE9hsE6eOVatWIR6P49RTTzXdZunSpXq7JSIiIqKZhjElY0oiIiKiamBcybiSiOoLF8aJqK4MDg4ilUrhZz/7GRwOh+nPMcccAwDYunUrBgcH0d7ennN7q8tKtWXLFnR3dxe8ztNPP40jjjgCAHDdddfh8ccfxzPPPIOLLroIABCNRst+3KGhIWiaho6OjpyfdXZ2Ahh/XYyam5tNf5fWR5U8/k033YSuri6cfvrpOT+Tx21ra8v5mdVlRERERDMBY0ozxpRERERElWFcaca4kohmOs4YJ6K60tjYqO8+/MxnPmN5nf7+fvz85z/Hpk2bcn5mdZnb7UY8Hs+5fOvWrWhpadH/Hg6HsX79+oLHd8stt8DhcOCee+6B2+3WL7/zzjsL3q6QxsZG2Gw2bNy4MednGzZsAADTcVbb/fffj9NOOw0HHHAA/vrXv6K3t1f/mQS1mzdvzrndpk2buBOTiIiIZiTGlGaMKYmIiIgqw7jSjHElEc10rBgnorri9XpxyCGH4J///CeWLFmCvfbaK+dPc3MzDjnkELz00kt4/vnnTbf/3e9+l3OffX19+Ne//mW67NVXX81p+XP00Ufj1VdfxcMPP5z3+BRFgaqqsNvt+mXRaBS//e1vc67rcrlK2hXp8/mwzz774PbbbzddP5PJ4KabbkJ3dzcWLlxY9H4q1dvbi0cffRQulwsHHHAAXnvtNf1n++yzD1wuF2699VbTbVatWlVRKyQiIiKiqcCYkjElERERUTUwrmRcSUT1hQvjRFR3fvKTn2Dt2rU44IADcMMNN2DlypW4++67cdVVV+HQQw8FAJx//vloaWnBscceixtuuAF//vOfceaZZ+Lll1/Oub+zzjoL//73v3Heeefhr3/9K37961/jhBNOQDgcNl3v/PPPx+LFi3HiiSfi8ssvx0MPPYQ//elP+PKXv4wVK1YAAI499liMjo7ijDPOwEMPPYRbbrkFBxxwgN4eyGj33XfH888/j1tvvRXPPPMMXnjhhbzP+Xvf+x4GBwdxyCGH4A9/+AP+9Kc/4ZhjjsGLL76IH/7wh1AUZTIvaVEdHR145JFHEA6HceCBB+LFF18EADQ1NeFLX/oSbrvtNnz605/GAw88gOXLl+PUU09FR0eHacYPABx88ME1P1YiIiKiUjCmZExJREREVA2MKxlXElEd0YiI6tBbb72lfexjH9O6uro0h8OhhcNhbb/99tMuu+wy/Tr//ve/tcMPP1xzu91aU1OT9vGPf1y76667NADaihUr9OtlMhntiiuu0ObPn6+53W5tr7320h5++GHtoIMO0g466CDT4w4NDWlf+MIXtJ6eHs3hcGitra3ascceq7388sv6dX79619ru+yyi+ZyubT58+dr3/ve97Tly5drALS33npLv96aNWu0I444QgsEAhoArbe3V39uALTrr7/e9NiPPvqoduihh2o+n0/zeDza0qVLtbvvvtt0neuvv14DoD3zzDOmy1esWJHzvIu5+OKLNQDali1b9MuGh4e1973vfVpTU5P+GJlMRrvsssu07u5uzel0akuWLNHuuecebY899tBOOukk032+5z3v0drb20s+BiIiIqJaYkzJmJKIiIioGhhXMq4kovqgaJqmTelKPBERzXpvvfUWFi1ahIsvvhjf+MY3AAA7duxAU1MTrr766rwzl4iIiIiIBGNKIiIiIqoGxpVEJNTpPgAiIqpvzz//PH7/+99jv/32QzAYxCuvvIIrrrgCwWAQH//4x/Xr/e1vf0NXVxc+8YlPTOPREhEREdFMxJiSiIiIiKqBcSURFcKKcSKiOSaTySCTyRS8jqqWvm/q9ddfx6c//Wk8//zzGB4eRkNDAw4++GBcfvnl2GWXXSZ7uEREREQ0AzGmJCIiIqJqYFxJRFOJC+NERHPMJZdcgu985zsFr/PWW2+hr69vag6IiIiIiOoOY0oiIiIiqgbGlUQ0lbgwTkQ0x2zYsAEbNmwoeJ0lS5bA6XRO0RERERERUb1hTElERERE1cC4koimEhfGiYiIiIiIiIiIiIiIiIhoVrNN9wEQERERERERERERERERERHVEhfGiWrskksugaIopsv6+vpwzjnnlHU/TzzxBC655BIMDw9X7+CmkbwuW7dune5D0a1ZswaKouCGG26Y1P187GMfw1FHHaX/fWxsDKeffjp22WUXBAIB+Hw+LF68GJdddhnGxsZybj8wMIBzzjkHLS0t8Hq92HffffHXv/7V8rH+8pe/YN9994XX60VLSwvOOeccDAwM5FwvmUziO9/5Dvr6+uByubBo0SL87Gc/s7zPN998EyeffDJCoRD8fj8OP/xwPPvssyU//2effRaHHXYY/H4/QqEQTj75ZLz55psl397qOR5++OHo7OyEy+VCa2srDj30UNx333051z344IOhKErOH+P7IWr1mtxyyy3Yc8894Xa70dnZifPPPx+jo6MlP9+f/exnWLRoEVwuF/r7+/Gd73wHyWTSdJ2rr77a9Pxm0u8RERHVDuNKa4wrrePKG264wTIuUhQFmzZtynmsuRBXZvvmN78JRVGw2267Wf58ul8TxpVERFQrjCutzaW4Mtu///1vuFwuKIqCv//97zk/Z76ysEJxJfOVRDOMRkQ1dfHFF2vZv2rPPvus9vrrr5d1P1deeaUGQHvrrbeqeHTTR16XLVu2TPeh6N566y0NgHb99ddXfB/PPvusZrPZtGeeeUa/bGhoSDv11FO1a6+9VnvggQe0hx56SPvWt76lORwO7f3vf7/p9rFYTNttt9207u5u7aabbtIefPBB7cQTT9RUVdVWrlxpuu7KlSs1VVW1E088UXvwwQe1m266Sevq6tJ22203LRaLma67bNkyzeVyaVdccYW2YsUK7etf/7qmKIp2+eWXm643MDCgdXZ2aosXL9b++Mc/avfee6+2//77a4FAQHv55ZeLPv/Vq1drgUBAO+CAA7R7771X++Mf/6gtXrxY6+zs1AYGBsp9OTVN07RbbrlF+8IXvqDdcsst2sqVK7Xbb79dO+KIIzQA2m9/+1vTdQ866CBt/vz52pNPPmn6s3r16pz7rcVrctNNN2kAtGXLlmkPP/ywdu2112oNDQ3a4YcfXtJzveyyyzRFUbQLL7xQW7FihXbFFVdoTqdT+8QnPmG63saNG7Unn3xS+/jHPz7jfo+IiKh2GFdaY1xpHVdef/31+jFkx0aJRMJ03bkSVxr985//1Fwul9bW1qYtXrw45+fT/ZowriQiolpiXGltLsWVRqlUSttnn320zs5ODUDO9ZivLKxYXMl8JdHMwoVxohqzCjQrwUCz9qoRaJ566qna0qVLS7ruV7/6VQ2A9sYbb+iX/e///q8GQHviiSf0y5LJpPaud71L23vvvU23f+9736u9613v0pLJpH7Z448/rgHQrrnmGv2yF198UVMURfuf//kf0+0/8YlPaB6PRxscHNQvu+CCCzSHw6GtWbNGv2z79u1aS0uLduqppxZ9TqeccorW0tKibd++Xb9szZo1msPh0L761a8WvX2pEomE1tXVpR1wwAGmyw866CDLADRbLV6TVCqldXR0aEcccYTpPm+++WYNgHbfffcVPKatW7dqbrdb++QnP2m6/PLLL9cURdFeeumlnNvMxN8jIiKqHcaV1mbi+XAmxJWyMJ4vAWo01+LKZDKp7bnnntrnP//5vPHjdL4mjCuJiKjWGFdam4nnw6mIK6+88kqtq6tL+8lPfmIZPzJfmV8pcSXzlUQzC1upE1XRvffeiz333FNvKfLDH/7Q8nrZrYkymQwuu+wy7LLLLvB4PAiFQliyZAl+8pOfABhv43PBBRcAAPr7+/V2JCtXrgQA3HrrrTjiiCPQ0dEBj8eDXXfdFV//+tdz2imec8458Pv9eP3113HMMcfA7/dj3rx5+PKXv4x4PG66bjwex6WXXopdd90Vbrcbzc3NOOSQQ/DEE0/o19E0Dddccw323HNPeDweNDY24kMf+lBZbWjWrVuHk08+GcFgEA0NDTjzzDOxZcsW03Vq8fw2bNiAU089FYFAAA0NDTjttNMsW0qWY/Pmzbjjjjtw1llnlXT9cDgMAFBVVb/sjjvuwC677IJ9991Xv0xVVZx55pl4+umn8c477wAA3nnnHTzzzDM466yzTLffb7/9sHDhQtxxxx36ZXfeeSc0TcNHP/pR0+N/9KMfRTQaxf333296/EMPPRS9vb36ZcFgECeffDLuvvtupFKpvM8nlUrhnnvuwQc/+EEEg0H98t7eXhxyyCGmY5osh8OBUChkeu7lqMVrsmrVKmzcuDHnPk855RT4/f6iz//+++9HLBazPCZN03DnnXdW8lSJiKhOMa5kXDnZuLJUczGu/P73v49t27bh8ssvt/z5dL8mjCuJiKiaGFcyriwUV7722mv49re/jWuuucYUdxkxX5lfsbiyHIwriaYGF8aJquSvf/0rTjzxRAQCAdxyyy248sorcdttt+H6668vetsrrrgCl1xyCT784Q/j3nvvxa233oqPf/zj+nyeZcuW4XOf+xwA4Pbbb8eTTz6JJ598Eu9+97sBjAcwxxxzDJYvX477778f559/Pm677TYcf/zxOY+VTCZxwgkn4P3vfz/uuusufOxjH8NVV12FH/zgB/p1UqkUjj76aHz3u9/FcccdhzvuuAM33HAD9ttvP6xdu1a/3qc+9Smcf/75OOyww3DnnXfimmuuwUsvvYT99tsPmzdvLul1O+mkk7BgwQL84Q9/wCWXXII777wTRx55pGlGSbWfXzQaxWGHHYYHH3wQ3/ve9/B///d/aG9vx2mnnZZzfzLHp5QZSw8++CCSySQOOeQQy59rmoZUKoWRkRHcf//9+NGPfoQPf/jD6Onp0a/z4osvYsmSJTm3lcteeukl/XrGy7OvKz+X64bDYbS3t1vep1w3Go3ijTfeyHuf0Wi04JeIN954A9FoNO/tX3/9dcRisby3LyaTySCVSmHDhg24+OKL8eqrr+LLX/6y5XE0NTVBVVXstNNOuOiiixCNRk3XqcVrku89cTgcWLRokek9sSI/33333U2Xd3R0oKWlpejtiYho9mBcybiyGnGlOO6442C329HU1ISTTz45J6aYa3Hlv//9b1x22WX4xS9+Ab/fb3md6X5NGFcSEVG1MK5kXFkortQ0DcuWLcNxxx2HE044Ie99MF9prZS40ngczFcSzQyVldoRUY6LLroIbW1teOihh+B2uwEARx55JPr6+ore9vHHH8fuu++OSy65RL/syCOP1P+/u7tbT3L913/9V859fvOb39T/X9M0vO9978Ouu+6Kgw46CP/6179MJ75EIoHvfOc7OOWUUwAA73//+/H3v/8dv/vd7/Dtb38bAPD73/8eK1aswHXXXYdly5bptzUGdqtWrcJ1112HH/3oR/jSl76kX37AAQdg4cKF+PGPf2wK7vI5+eSTccUVVwAAjjjiCLS1teEjH/kIbrvtNnzkIx+pyfO78cYbsXr1atx111160HfEEUcgGo3iuuuuMx2foiiw2+2w2+1Fn8uTTz4Jj8eDRYsWWf781ltvxYc//GH97x/96Efxq1/9ynSdwcFBNDU15dxWLhscHDT9N9915eeF7tPn88HpdOrXHRoagqZpJT2+lWLHpGkahoaG0NHRkfc+CjnmmGPwwAMPABjfAXnrrbfi2GOPNV1n//33x2mnnYZFixYhGo3iz3/+M6644go89thjWLFiBWw2m36s1X5Nij3/NWvWFHx+g4ODcLlc8Pl8lrcv9NoTEdHswrhyHOPKycWV7e3tuOiii7B06VIEg0G88MIL+P73v4+lS5fi8ccfxx577AFgbsWVmUwGH/vYx3DyySfjmGOOqfjxa/2aMK4kIqJqYVw5jnGldVz5v//7v3jhhRdw2223FbwP5itzlRpXAsxXEs00rBgnqoKxsTE888wzOPnkk/UgEwACgYDlLsFse++9N55//nmcd955eOCBBzAyMlLW47/55ps444wz0N7eDrvdDofDgYMOOggAsHr1atN1FUXJOaYlS5bg7bff1v/+5z//GW63Gx/72MfyPuY999wDRVFw5plnIpVK6X/a29uxxx576G2TipFgUpx66qlQVRUrVqyo2fNbsWIFAoFAzk7IM844I+f4ent7kUqlsHz58qLPZcOGDQiHw1AUxfLnRx55JJ555hk8/PDDuPzyy/HHP/4RH/zgB5HJZHKeQz7ZP8t33VKvN9nrlnudUm6fz89+9jM8/fTTuOuuu3DkkUfitNNOw+9//3vTdS677DKce+65OOSQQ3DMMcfgZz/7Gb7//e/jb3/7G+66666Kj7MW70m515nMa0dERPWDcSXjSqA6ceVRRx2Fyy67DMcddxwOPPBAfOYzn8Gjjz4KRVH0BGz287Uym+LKH//4x3jttddw9dVXl3T96X5NGFcSEdFkMK5kXAnkjyvffvttXHjhhbjyyivR1tZW9H6YrzQrJ65kvpJoZmHFOFEVDA0NIZPJ5LQ5AWB5WbYLL7wQPp8PN910E6699lrY7XYceOCB+MEPfoC99tqr4G1HR0dxwAEHwO1247LLLsPChQvh9Xr1WTjZLVm8Xq8pGAYAl8tlahmzZcsWdHZ26rvVrGzevBmapuUNnObPn1/saQPIfX1UVUVzc7O+26wWz29wcNDyuEt5rwqJRqM5j23U2Niov5+HHHIIdtppJ5x++um46667cNJJJwGA6bkbbdu2DcDE7r7m5mb9uVhd17gLsLm5Gc8991zO9cbGxpBIJPTrNjY2QlGUkh7fSrFjUhQFoVAo7+2L2XnnnfX/P+GEE3D00UfjM5/5DE477bSCn9UzzzwTX/nKV7Bq1SrT61zt18T4/LM/X9nviZXm5mbEYjFEIhF4vd6c27/nPe8peHsiIpodGFfmYlyZq5S40kpfXx/2339/rFq1Sr9srsSVa9euxbe//W18//vfh9Pp1NvAplIpZDIZDA8Pw+VywePxTPtrwriSiIiqgXFlLsaVEz7zmc9gt912wwc/+EE9LopEIvrz2759OxoaGgAwX5mtnLgyH+YriaYPK8aJqkBORps2bcr5mdVl2VRVxZe+9CU8++yz2LZtG37/+99j3bp1OPLII/WAJJ+HH34YGzZswK9//WssW7YMBx54IPbaay8EAoGKn084HMaGDRtyKpmNWlpaoCgKHnvsMTzzzDM5f+68886SHiv79UmlUhgcHNRP2rV4fs3NzZYzhUp5rwppaWnRg49S7L333gCAV199Vb9s9913xwsvvJBzXblst912M/0333Xl53KfW7ZsyXl+2ffp8XiwYMGCvPfp8XgKfoHYaaed4PF48t5+wYIFBRO85dp7770xNDSELVu2lHR94xenWrwmMmsn+7qpVAovv/yy6T2xku/2mzZtwtatW4venoiIZgfGlYwrgerElflommaKi+ZKXPnmm28iGo3iC1/4AhobG/U/jz/+OFavXo3GxkZceOGFpucxXa8J40oiIqoGxpWMK4H8ceWLL76IVatWmeKiz3zmMwDGN1729vbq12W+0qycuLIY5iuJph4XxomqwOfzYe+998btt99u2um3Y8cO3H333WXdVygUwoc+9CF85jOfwbZt2/Q5Hy6XCwBydhxKuxL5ufjlL39Z7tPQHX300YjFYrjhhhvyXue4446Dpml45513sNdee+X8kZNmMTfffLPp77fddhtSqRQOPvhgALV5focccgh27NiBP/3pT6bLf/e731V8nwCwaNEiDA4OYvv27SVdX9ovLViwQL/spJNOwssvv4ynnnpKvyyVSuGmm27CPvvsg87OTgBAV1cX9t57b9x0001Ip9P6dVetWoVXXnkFJ598sn7ZiSeeCEVRcOONN5oe/4YbboDH48FRRx1levyHH34Y69at0y/bsWMHbr/9dpxwwglQ1fyNRlRVxfHHH4/bb78dO3bs0C9fu3YtVqxYYTqmydI0DY888ghCoZD+pSQfed5Lly7VL6vFa7LPPvugo6Mj5/fmD3/4A0ZHR4s+/6OOOgputzvn9jfccAMURcEHPvCBgrcnIqLZgXEl40qgOnGllbfeeguPP/64KS6aK3HlnnvuiRUrVuT82WOPPdDX14cVK1bgs5/97Ix4TRhXEhFRNTCuZFwJ5I8rb7nllpy46Gtf+xoA4Nprr8U999yjX5f5SrNy4sp8mK8kmkYaEVXFgw8+qNlsNm3//ffX7rjjDu0Pf/iD9t73vlebN2+elv2r1tvbq5199tn634877jjt61//uvaHP/xBe+SRR7Tf/OY3Wl9fn9bb26slEglN0zRtxYoVGgDtU5/6lPbEE09ozzzzjDYyMqJt3bpVa2xs1PbYYw/t9ttv1+6++27t9NNP13beeWcNgHb99dfrj3P22WdrPp8v59gvvvhi0zEmk0ntkEMO0RwOh/bVr35V+/Of/6zde++92re//W3t97//vX69T37yk5rX69UuuOAC7e6779Yefvhh7eabb9bOPfdc7Zprrin4eslj9vb2ahdccIH24IMPaldddZXm9/u1PfbYQ4vH45qmaTV5fmNjY9rChQu1hoYG7ec//7n2wAMPaF/4whe0np6enPtcs2aNZrfbtY997GMFn4+madrf/vY3DYD2wAMPmC6/9tprtY985CPajTfeqD388MPa3XffrX31q1/VPB6Ptt9++2nJZFK/biwW0xYvXqzNmzdPu/nmm7WHHnpIO+mkkzRVVbWVK1ea7nfFihWaqqraSSedpD300EPazTffrM2bN0/bbbfdtFgsZrrusmXLNJfLpV155ZXaypUrtW984xuaoija5ZdfbrrewMCA1tHRoe2+++7aHXfcod13333agQceqAUCAW316tX/n733jpOkrvP/X1XVVV3dPXlmZ3dn8y4sSZLiEQyACGI6BfWrouB9PROm8+v506+nJ4rZO9N9DXcghyinx3kIIigoCCoiHAYEJe2yaXYnh56e6a7QVfX5/TG8P1vdXd3TcdK+n4/HPmA6VFWnT73qHV7vgsfu2LFD7Nixo+C2xx57TLS1tYnnP//54ic/+Yn44Q9/KJ7xjGeIgYEBMTY2VvDYs88+u+S3EcVf//Vfi3/8x38UN954o7jnnnvE9773PXHBBRcIAOLrX/96wfv/ohe9SPzrv/6r+NnPfiZuueUWcfnllwtN08QLXvAC4ft+y9+T7373uwKAeNvb3ibuvvtucdVVV4muri5x/vnnFzzunnvuEZqmiU984hMFt3/qU58SiqKIf/iHfxD33HOP+Kd/+icRj8fFW9/61sj3hr7b4+PjJbfdfffdC763DMMwzPKEdSXrymboyvPOO0984hOfEDfddJO46667xFe+8hUxMDAg2tvbxSOPPFKw3SNFV0Zx9tlnixNOOKHk9qV+T1hXMgzDMM2AdSXrynK6Moprr71WABAPPvhgwe0cr6yOKF3J8crC21hXMssBTowzTBO55ZZbxEknnSQMwxCbN28Wn/vc50pEjhClQvOLX/yiOOuss0RfX5987t/+7d+Kffv2FTzvwx/+sBgYGBCqqhacSO677z5x5plnimQyKdasWSPe8pa3iD/84Q91CzEhhLAsS3zsYx8TRx99tDAMQ/T29ooXvOAF4r777it43L//+7+L008/XaRSKZFIJMSOHTvEZZddJn73u99VfK9on7///e/Fy1/+ctHW1iba29vF61//ejE6Olrw2Fa8voMHD4pXvepVcr+vetWrxH333Veyzb179woABZ9XOXzfF1u3bhXvfOc7C27/zW9+I172speJgYEBYRiGSCaT4uSTTxaf/OQnRTabLdnOyMiIuOyyy0RPT48wTVOcccYZ4uc//3nkPn/2s5+JM844Q5imKXp6esRll11W8v4JIYTruuKKK64QmzdvFoZhiJ07d4p/+Zd/idzm7t27xStf+UrR0dEhksmkOO+888Tvf//7ksdt2bJFbNmypeT23/3ud+K8884TyWRSdHR0iFe+8pVi9+7dJY971rOeJdatWxd5DGE+//nPi2c/+9miu7tbaJoment7xYte9CJx6623Fjxu165d4iUveYnYsGGDiMfjwjRNceKJJ4pPf/rTJcK7Ve+JEEJ873vfk+vAunXrxHvf+14xOztb8Bi6cLziiitKnv/Vr35V7Ny5U64FV1xxhbzgLCZKaP793/+9UBSlRAQzDMMwKwvWlawrG9WV73vf+8Txxx8v2tvbRSwWEwMDA+KNb3yjeOKJJyL3eSToyijKJcaFWNr3RAjWlQzDMExzYF3JujJKV0ZRLjEuBMcrqyFKV3K8ch7WlcxyQhFCiDqbzRmGYZgivvjFL+LTn/40Dh06hEQisdSHs2yZnZ1FT08PvvKVr8j5RUz1CCHg+z6uvPJKfPKTn8T4+Dj6+voAzM8Y3bJlC37wgx8s8VEyDMMwDNMIrCurg3VlY7CuZBiGYZjVD+vK6mBd2RisK5mVAs8YZxiGaSLvete70NnZia9//etLfSjLml/96lfYsGED3vrWty71oaxIvvrVr0LXdXzyk58suD2TyeBPf/oTrrzyyiU6MoZhGIZhmgXryupgXdkYrCsZhmEYZvXDurI6WFc2ButKZqXAHeMMwzBN5t5778Uf//hHvOc971nqQ2FWKWNjYzhw4ID8+5RTTkEsFlvCI2IYhmEYphWwrmRaDetKhmEYhjkyYF3JtBrWlcxKgRPjDMMwDMMwDMMwDMMwDMMwDMMwDMMwzKqGrdQZhmEYhmEYhmEYhmEYhmEYhmEYhmGYVQ0nxhmGqYpvf/vbUBQFpmli//79Jfefc845eMYznrEERxbNDTfcgBNOOAGJRAKKouChhx6KfNyjjz6Kj3/849i3b19N2z/nnHNwzjnnNHyczeI//uM/cOqpp8I0TfT19eGSSy7B4OBg1c/P5/M49thj8bnPfa7g9rm5Obzvfe/DwMAATNPEKaecgv/8z/+sapv0nYn6NzIyUvDYj3zkIzj11FPR09MD0zSxfft2vO1tbyv5rk1PT+P1r389uru7sX37dlx11VUl+33ggQeQSCTw2GOPldz3j//4j3jmM5+JIAiqeg0MwzAMwzQf1pWFLCdduXXr1rL6zTTNqrbRCl1ZzEc/+lEoihL5Pbn11ltx2WWX4cQTT4Su61AUJXIbrCsZhmEYZmXDmrKQ5aQp//KXv+Cd73wnzjzzTKRSKSiKgnvuuaembbRKU46NjeFv/uZv0NfXh2QyiTPPPBN33XVX5GOz2Sw+9rGPYefOnYjH4+jt7cW5556LXbt2ycewpmSYlQcnxhmGqQnHcfDRj350qQ+jIuPj47j00kuxY8cO3H777fjtb3+LnTt3Rj720UcfxSc+8YmaxeY3vvENfOMb32jC0TbO//t//w9vfOMbcdppp+FHP/oRPv/5z+Oee+7B8573PExPT1e1jW984xuYnp4umTN08cUX47rrrsMVV1yBn/70p3j2s5+N17/+9fje975X9fFde+21+O1vf1vwr7e3t+Ax6XQar3/963Hdddfh9ttvxwc+8AHceuutOP300zE5OSkf9/d///f44x//iOuvvx7vec97cPnll+PXv/61vN/zPLztbW/DBz/4QRx33HElx/KBD3wAe/fuxXXXXVf18TMMwzAM0xpYV86znHTlTTfdVKLbbrjhBgDARRddVNU2WqkrAeChhx7CP//zP2Pt2rVlX8P999+P448/HieffHLZ7bCuZBiGYZjVAWvKeZaTpvzd736Hm2++GT09PTjvvPPq2kYrNKXjODjvvPNw11134atf/Sp+9KMfYe3atbjwwgvxy1/+suCxc3NzOOecc3DNNdfgPe95D372s5/h2muvxemnn45cLicfx5qSYVYggmEYpgquvfZaAUBceOGFQlVV8dBDDxXcf/bZZ4sTTjhhiY6ukHvvvVcAEDfccMOCj/3BD34gAIi77767qm1ns9kGj6652LYtOjs7xctf/vKC2++77z4BQPzDP/zDgtvI5/Niw4YN4v/+3/9bcPttt90mAIjvfe97Bbeff/75YmBgQHieV3G79J158MEHq3w1hfzkJz8RAMQ111wjb+vv7y84nvPPP1986EMfkn9/9rOfFcccc4ywbbvsdt/97neLnTt3iiAI6jouhmEYhmEag3XlPMtNV5bj4x//uAAg7rzzzgUf2ypdGd7+KaecIt773veW/Z74vi///13vepcoF/ZgXckwDMMwKxvWlPMsR00Z1mO1vh4hWqcpv/71rwsA4r777ivY1/HHHy/+6q/+quCxf/d3fydSqZR46qmnKm6TNSXDrDy4Y5xhmJr44Ac/iN7eXnzoQx9a8LG2bePDH/4wtm3bBsMwsGHDBrzrXe9COp2ue/+33HILzjzzTCSTSbS3t+P888/Hb3/7W3n/3/zN3+C5z30uAOC1r30tFEUpayP07W9/G695zWsAAOeee660ifz2t78N4LDl0q9+9SucddZZSCaTePOb3yzvC2933759UBQFX/jCF/DpT38amzdvhmmaOO2000rseMbHx/G2t70NmzZtQjwex5o1a/Cc5zwHd955Z83vx5///GfMzMzgJS95ScHtZ555Jnp6enDjjTcuuI1bbrkFhw4dwqWXXlpw+0033YS2tjb5HhH/+3//bwwNDeGBBx6o+XhrYc2aNQCAWCwmb7NtG6lUSv7d1tYG27YBAHv27MEnP/lJ/Nu//Rvi8XjZ7V566aV48skncffdd7foyBmGYRiGqQbWlctLV0YhhMC1116L7du34wUveMGCj2+1rvzc5z6HqakpfPrTny77GFWtLszBupJhGIZhVgesKZefpqxWj5WjVZrypptuwjHHHIMzzzxT3haLxfDGN74R//M//4NDhw4BAHK5HL71rW/hNa95DbZv315xm6wpGWblwYlxhmFqor29HR/96Edxxx134Be/+EXZxwkh8MpXvhL//M//jEsvvRS33XYb3v/+9+O6667DC17wAjiOU/O+v/e97+EVr3gFOjo68P3vfx/XXHMNpqencc455+Dee+8FMD+X5etf/zoA4DOf+Qx++9vflrUReulLX4rPfOYzAICvf/3r0i7ypS99qXzM8PAw3vjGN+KSSy7BT37yE7zzne+seIxf+9rXcPvtt+MrX/kKrr/+eqiqihe/+MUFgvjSSy/FzTffjI997GP42c9+hm9961t44QtfWGAZfs8990BRFHz84x+vuD/XdQEgUlzF43Hs2rVLirFy3Hbbbejv78fxxx9fcPuf//xnHHfccQWJaQA46aST5P3V8LKXvQyapqGnpwcXX3xxxed5ngfLsvDHP/4R73vf+7Bz505cfPHF8v6zzjoLX/va1zA2Nobf/OY3uOOOO3DWWWcBAC6//HK87nWvw9lnn13xeJ71rGehra0Nt912W1XHzzAMwzBMa2Bdubx0ZRR33nkn9u/fjze/+c1lZ3WHaaWufPTRR/GpT30K3/zmN9HW1lbDq4iGdSXDMAzDrA5YUy5/TVkrrdKUf/7zn+Vjo57/l7/8BQDw+9//HtlsFkcffTQuv/xydHd3wzAMnHbaaSW6jzUlw6xAlrZhnWGYlULYFttxHLF9+3Zx2mmnSYuXYnui22+/XQAQX/jCFwq2c8MNNwgA4qqrrqpp/77vi4GBAXHiiScW2PHMzs6K/v5+cdZZZ8nb7r77bgFA/OAHP1hwu5XsfM4++2wBQNx1112R95199tny77179woAYmBgQFiWJW/PZDKip6dHvPCFL5S3tbW1ife9730Vj+uee+4RmqaJT3ziExUfNzk5KVRVFX/7t39bcPvu3bsFAAFADA0NVdzGcccdJy688MKS248++mjxohe9qOT2oaEhAUB85jOfqbjdn/70p+IjH/mI+PGPfyx++ctfiq997Wti48aNIpVKldhbCSHE8PCwPGYA4vTTTxeHDh0qeMzjjz8ujj76aPmYN7/5zSIIAvHd735X9Pf3i8nJyYrHRDznOc8Rp59+elWPZRiGYRimubCuLL1vOejKKF772tcKTdPEwYMHq3p8q3Sl7/vi9NNPF69//evlbdXYo1ayUmddyTAMwzArG9aUpfctR01Zj5V6qzSlruvi7W9/e8ntNJKSLNG///3vCwCio6NDPOc5zxG33HKLuPXWW8W5554rFEURt99+u3wua0qGWXlwxzjDMDVjGAY+9alP4Xe/+x3+67/+K/IxVKH5N3/zNwW3v+Y1r0EqlSqx7FmIJ554AkNDQ7j00ksL7Hja2trwqle9Cvfffz9yuVxtL6QKuru7q7KNJC6++GKYpin/bm9vx8tf/nL86le/gu/7AIC/+qu/wre//W186lOfwv333498Pl+ynbPPPhue5+FjH/tYxf319PTgDW94A77zne/g3/7t3zA1NYWHH34Yb3jDG6BpGoCF7YuGhobQ398feV+lzqCFuoYuvPBCfOpTn8LLXvYyPP/5z8e73vUu/PrXv4aiKJGvq6+vDw8++CDuvfdeXH311ZiamsK5556L4eFh+ZhjjjkGjz/+OHbt2oXx8XFZifv+978fX/7yl9HT04NvfOMb2LFjB/r6+vCGN7wB09PTJfvq7++X9kgMwzAMwywdrCvLs9i6spipqSncfPPNuPDCC7Fhw4aqntMqXfmlL30Ju3btwle+8pWqjqMaWFcyDMMwzOqBNWV5llpT1kOrNGW1zw+CAMD89+qnP/0pXv7yl+OlL30pbr31Vqxfvx6f/OQn5XNYUzLMyoMT4wzD1MXrXvc6PPOZz8RHPvKRSLE0OTmJWCwm50QTiqJg3bp1BVY81UCPX79+fcl9AwMDCIIgUlQ0StT+KrFu3brI21zXxdzcHADghhtuwJve9CZ861vfkrPAL7vsMoyMjNR1jN/85jfx2te+Fu985zvR29uLU089Fcceeyxe+tKXIh6Po7e3t+LzLcsqEMhEb29v5Oc0NTUFYD4pXytbt27Fc5/7XNx///0l98ViMZx22ml4znOeg7e85S34xS9+gT179uBzn/tcweNUVcVRRx2Fvr4+AMAHPvABnHrqqbjkkktw11134UMf+hBuuOEG7N69G+Pj43jf+95Xsi/TNGFZVs3HzzAMwzBM82FdGc1S6Mow119/PRzHwVve8paqn9MKXXngwAF87GMfwxVXXAHDMJBOp5FOp+F5HoIgQDqdrlvXsa5kGIZhmNUDa8pollpT1kOrYpXVPp9iqWeddRba29vl45LJJM4++2z84Q9/KHg+a0qGWVlwYpxhmLpQFAWf//zn8dRTT+Gqq64qub+3txee52F8fLzgdiEERkZGpFCoFhIk4e5hYmhoCKqqoru7u6ZtVkM1lYZhogTjyMgIDMOQsxD7+vrwla98Bfv27cP+/fvx2c9+Fj/84Q9LKlarJZVK4bvf/S4mJibwpz/9CaOjo/j2t7+NJ554AmeddVbJ3J1i+vr6pAAMc+KJJ+Kxxx6D53kFtz/yyCMAgGc84xl1Ha8QYsEudgDYuHEjBgYG8OSTT5Z9zD333IMbbrgB3/zmNwEAP/3pT3HBBRfgtNNOQ1dXF9797nfjJz/5Scnzpqamav4OMgzDMAzTGlhXRrMUujLMNddcg7Vr1+JlL3tZ1c9pha7cs2cPLMvC3/3d36G7u1v++81vfoPHHnsM3d3d+PCHP1z1MZaDdSXDMAzDrGxYU0az1JqyHloVqzzxxBPlYys9P2oOObFQXJM1JcMsfzgxzjBM3bzwhS/E+eefjyuvvFJWGBLnnXcegPlOkzA33ngjstmsvL9ajjnmGGzYsAHf+973IISQt2ezWdx4440488wzkUwma34N8XgcAJpWkffDH/4Qtm3Lv2dnZ/HjH/8Yz3ve86S1eZjNmzfj3e9+N84///ySasNa6e7uxkknnYS+vj7ccssteOKJJ/B3f/d3Cz7v2GOPxVNPPVVy+0UXXYS5uTnceOONBbdfd911GBgYwOmnn17zMe7duxe/+c1vcMYZZyz42N27d+PgwYM46qijIu93HAdvf/vbccUVV2D79u0A5sVpNpuVj5mbmyv4vhB79uzB8ccfX/PxMwzDMAzTGlhXlrKUuvJ3v/sdHn74YbzpTW9asMgyTCt05SmnnIK777675N/JJ5+MrVu34u6778a73/3u6l9cBKwrGYZhGGZ1wJqylKXUlPXSqljlRRddhMcffxwPPPCAvM3zPFx//fU4/fTTMTAwAGC+K//MM8/Eb37zG2QyGfnYXC6HX/7yl2XjmqwpGWZlUP0VLsMwTASf//zn8axnPQtjY2M44YQT5O3nn38+XvSiF+FDH/oQMpkMnvOc5+Dhhx/GFVdcgVNPPRWXXnqpfCwlPnfv3l12P6qq4gtf+ALe8IY34GUvexne/va3w3Ec/NM//RPS6XSJ3Xa1UCXgVVddhfb2dpimiW3bti1oP14OTdNw/vnn4/3vfz+CIMDnP/95ZDIZfOITnwAAzMzM4Nxzz8Ull1yCY489Fu3t7XjwwQdx++234+KLL5bb+eUvf4nzzjsPH/vYxxac3XPjjTdiaGgIxx13HGzbxj333IOvfvWreMc73oFXvOIVCx7zOeecgyuvvBK5XK5AsL/4xS/G+eefj8svvxyZTAZHHXUUvv/97+P222/H9ddfXyCe//Zv/xbXXXcdnnrqKWzZsgXA/MXI85//fJx00kno6OjAI488gi984QtQFKVgFs/DDz+M//N//g9e/epXY/v27VBVFY888gi+/OUvo7e3Fx/4wAcij/vTn/40TNPE+9//fnnbi170Inz1q1/Fv/zLv+Coo47ClVdeiQsvvLDgeZOTk9i1axfe8573LPjeMAzDMAyzeLCuLGQpdCVxzTXXAJjXeLXQCl3Z1dWFc845p2RfXV1d8Dyv5L79+/fjwQcfBAAZUP3v//5vAPNjfU477bSSbbGuZBiGYZjVA2vKQpZCU+ZyOdkVTeMUf/nLX2JiYgKpVAovfvGLKz6/VbHKN7/5zfj617+O17zmNfjc5z6H/v5+fOMb38ATTzyBO++8s+AY/vmf/xnnnnuu/M4oioIvfvGLmJiYKIhrhmFNyTArBMEwDFMF1157rQAgHnzwwZL7LrnkEgFAnHDCCQW3W5YlPvShD4ktW7YIXdfF+vXrxeWXXy6mp6cLHrdlyxaxZcuWqo7j5ptvFqeffrowTVOkUilx3nnnid/85jcFj7n77rsFAPGDH/ygqm1+5StfEdu2bROapgkA4tprrxVCCHH22WeXvCbi7LPPFmeffbb8e+/evQKA+PznPy8+8YlPiI0bNwrDMMSpp54q7rjjDvk427bFO97xDnHSSSeJjo4OkUgkxDHHHCOuuOIKkc1mS17DFVdcseDx33TTTeKUU04RqVRKJBIJcdppp4lrrrlGBEFQ1evfvXu3UBRF/Nd//VfJfbOzs+K9732vWLdunTAMQ5x00kni+9//fsnj3vSmNwkAYu/evfK2973vfeL4448X7e3tIhaLiYGBAfHGN75RPPHEEwXPHRkZEW984xvFjh07RDKZFIZhiO3bt4t3vOMd4sCBA5HH/OijjwrTNMX9999fct+XvvQlsXnzZtHR0SFe/epXi/Hx8YL7r7nmGqHruhgZGanm7WEYhmEYpsmwrixkOelKIYTI5XKis7NTPP/5z6/q8WFapSujKPee0vcr6t+b3vSmksezrmQYhmGYlQlrykKWk6akfUf9q+Z9baWmHBkZEZdddpno6ekRpmmKM844Q/z85z+PPI5f//rX4uyzzxbJZFIkk0nxghe8oOSzJVhTMszKQREiwreBYRiGqYl9+/Zh27Zt+Kd/+qeyHc7LmZe//OXwPA8//elPl/pQWs7znvc8bN68Gf/xH/+x1IfCMAzDMAxTAuvKlQPrSoZhGIZhliusKVcOrCkZZnHhGeMMwzAMPvvZz+LOO++UtpOrlV/96ld48MEHy1oeMQzDMAzDMI3BupJhGIZhGIZpFNaUDMO0Ck6MMwzDMHjGM56Ba6+9FiMjI0t9KC1lcnIS3/nOd7B9+/alPhSGYRiGYZhVCetKhmEYhmEYplFYUzIM0yrYSp1hGIZhGIZhGIZhGIZhGIZhGIZhGIZZ1XDHOMMwDMMwDMMwDMMwDMMwDMMwDMMwDLOq4cQ4wzAMwzAMwzAMwzAMwzAMwzAMwzAMs6qJLfUBLCZBEGBoaAjt7e1QFGWpD4dhGIZhGGZFIoTA7OwsBgYGoKpHXp0la0qGYRiGYZjGOdI1JcC6kmEYhmEYphnUoiuPqMT40NAQNm3atNSHwTAMwzAMsyoYHBzExo0bl/owFh3WlAzDMAzDMM3jSNWUAOtKhmEYhmGYZlKNrjyiEuPt7e0A5t+Yjo6OJT4ahmEYhmGYlUkmk8GmTZuktjrSYE3JMAzDMAzTOEe6pgRYVzIMwzAMwzSDWnTlEZUYJ0uijo4OFpsMwzAMwzANcqTaPbKmZBiGYRiGaR5HqqYEWFcyDMMwDMM0k2p05ZE5wIdhGIZhGIZhGIZhGIZhGIZhGIZhGIY5YuDEOMMwDMMwDMMwDMMwDMMwDMMwDMMwDLOq4cQ4wzAMwzAMwzAMwzAMwzAMwzAMwzAMs6rhxDjDMAzDMAzDMAzDMAzDMAzDMAzDMAyzquHEOMMwDMMwDMMwDMMwDMMwDMMwDMMwDLOq4cQ4wzAMwzAMwzAMwzAMwzAMwzAMwzAMs6rhxDjDMAzDMAzDMAzDMAzDMAzDMAzDMAyzquHEOMMwDMMwDMMwDMMwDMMwDMMwDMMwDLOq4cQ4wzAMwzAMwzAMwzAMwzAMwzAMwzAMs6qpKTH+8Y9/HIqiFPxbt25dwf3HHnssUqkUuru78cIXvhAPPPBAxW3m83lceeWV2LFjB0zTxMknn4zbb7+9pv0yDMMwDMMwKwvWlQzDMAzDMEyjsKZkGIZhGIZhaiFW6xNOOOEE3HnnnfJvTdPk/+/cuRNf+9rXsH37dliWhS9/+cu44IILsHv3bqxZsyZyex/96Edx/fXX4+qrr8axxx6LO+64AxdddBHuu+8+nHrqqVXtl2EYhmEYhll5sK5kGIZhGIZhGoU1JcMwDMMwDFMtNSfGY7FY2QrISy65pODvL33pS7jmmmvw8MMP47zzzot8zne/+1185CMfwUte8hIAwOWXX4477rgDX/ziF3H99ddXtd9yOI4Dx3Hk35lMpqbnMwzDMAzDMK1jpehK1pQMwzAMwzDLl5WiKQHWlQzDMAzDMEtNzTPGd+3ahYGBAWzbtg2ve93rsGfPnsjHua6Lq666Cp2dnTj55JPLbs9xHJimWXBbIpHAvffeW9d+w3z2s59FZ2en/Ldp06YqXiHDMAzDMAyzGKwUXcmakmEYhmEYZvmyUjQlwLqSYRiGYRhmqVGEEKLaB//0pz9FLpfDzp07MTo6ik996lN4/PHH8Ze//AW9vb0AgFtvvRWve93rkMvlsH79etx888149rOfXXabl1xyCf70pz/h5ptvxo4dO3DXXXfhFa94BXzflxWU1ew3iqgqzE2bNmFmZgYdHR3VvmyGYRiGYRgmRCaTQWdnZ0OaaiXpStaUDMMwDMMwzedI05QA60qGYRiGYZhWUIuurCkxXkw2m8WOHTvwwQ9+EO9///vlbcPDw5iYmMDVV1+NX/ziF3jggQfQ398fuY3x8XG89a1vxY9//GMoioIdO3bghS98Ia699lrkcrmq91sNzRDcDMMwDMMwRzqt0FQrSVeypmQYhmEYhmmcI11TAqwrGYZhGIZhmkEtmqpmK/UwqVQKJ554Inbt2lVw21FHHYUzzjgD11xzDWKxGK655pqy21izZg1uvvlmZLNZ7N+/H48//jja2tqwbdu2mvbLMAzDMAzDrFxYVzIMwzAMwzCNwpqSYRiGYRiGqURDiXHHcfDYY49h/fr1ZR8jhCiwCCqHaZrYsGEDPM/DjTfeiFe84hUN7ZdhGIZhGIZZObCuZBiGYRiGYRqFNSXDMAzDMAxTiZoS4x/4wAfwy1/+Env37sUDDzyAV7/61chkMnjTm96EbDaLf/iHf8D999+P/fv34w9/+APe8pa34ODBg3jNa14jt3HZZZfhwx/+sPz7gQcewA9/+EPs2bMHv/71r3HhhRciCAJ88IMfrGq/DMMwDMMwzMqDdSXDMAzDMAzTKKwpGYZhGIZhmFqI1fLggwcP4vWvfz0mJiawZs0anHHGGbj//vuxZcsW2LaNxx9/HNdddx0mJibQ29uLZz/72fj1r3+NE044QW7jwIEDUNXD+XjbtvHRj34Ue/bsQVtbG17ykpfgu9/9Lrq6uqraL8MwDMMwDLPyYF3JMAzDMAzDNAprSoZhGIZhGKYWFCGEWOqDWCxqGb7OMAzDMMzqRAgB13URj8eX+lBWLEe6pjrSXz/DMAzDMPO4rgtN06Bp2lIfyoqENRW/BwzDMAzDzJPP56Hr+lIfxoqlFk3V0IxxhmEYhmGYlYTjONizZw9GRkaW+lAYhmEYhmGYFYoQAul0Grt378bs7OxSHw7DMAzDMAyzQhFCYGxsDLt27YLneUt9OEcENVmpMwzDMAzDLFeEELBtG5lMBo7jlNwHANlsFkIIHHXUUUtxiAzDMAzDMMwKwPd9zM3NIZPJwPf9yPsty0IymURnZ+cSHCHDMAzDMAyzEiBdSTFJgv7fcRxYloX+/n7EYpyyXQz4XWYYhmEYZsUihIBlWchkMpiZmUE+n1/wOf39/WyjzjAMwzAMwxTg+z4ymQwymQzm5uaw0ORBRVGwYcMGKIqySEfIMAzDMAzDrARq1ZXxeBx9fX2LdHQMJ8YZhmEYhllx+L6PsbExzMzM1GQz1NnZyUKTYRiGYRiGkeRyOYyNjWFubq7q5yiKgo0bN3KxJcMwDMMwDCOZmZnB9PR0TboyFoth06ZNUFWefL1YcGKcYRiGYZiyCCEQBAFUVYXjOLBtG4ZhIJlMNrTNfD4PXdfr6rDJ5/PYv38/bNuu6XmpVAobN27krh6GYRiGYZglwPM8qKoqHX9s20ZnZyd0Xa97m77vw/O8uhPUMzMzOHjw4IJdPMUMDAywhTrDMAzDMMwSQbFK3/fhOA48z0NHR0fD2wRQV4Ka5oSPj4/X/Nzt27fDMIyan8fUDyfGGYZhGOYIx/M8aJpWkDD2fR+u62Lv3r3yNl3X4TgOFEXB1q1bkUqlat7X5OQkRkdHoWkaEokE+vv7YZpm1c+3bRv79u2rqUucSKVSnBRnGIZhGIZpIa7rFgT2qCAynU5jbGwMqqoiCAIkk0nkcjlMT09j27ZtNc9TDIIABw4cwNzcHBKJBJLJJPr7+6FpWlXPF0JgcnISIyMjNe2XqEcHMwzDMAzDMNVBjTrF2s7zPIyMjCCdTiMej8N1XZkgX7t2LdasWVPzvhzHwcGDB2HbNlKpFHp6empKsgdBgKGhIaTT6Zr3HY/HOSm+BHBinGEYhmGOUIQQmJmZwdDQEPr7+6GqKrLZLGzbhuu6JZ0zjuPAMAy4rov9+/dj69atNXWOT01NYXh4GMC8aMzn8/A8D6ZpIpVKoa2trWIwc3Z2FoODg7KCs1YSiURdz2MYhmEYhmEq4/s+hoeHMTMzg40bN8K2bWSzWQDzVuUE6bh8Pg9gXl/u27cP27ZtqzqpHQQB9u/fL7dvWRYsy4LjOIjH42hra0MqlSrb7SOEwPDwMKampup6raqqNtTlzjAMwzAMw5THdV0cOnQIqqqit7cXuVwO2WwWQogCXek4DoD55HIul8Po6Kh8Ti372rdvn9Smc3NzyOfzmJ2dRTKZRHt7e8UCTt/3ceDAAalLa4VjlUsDJ8YZhmEY5ghECIHBwUFkMhkA8zaSlmUBmO8MNwxD2lJS549t24jFYnBdF0EQyCDmQiJOCIHZ2VkMDQ2V3JfL5ZDL5WDbNoaGhhCPx2W1pKIoMnmez+cLxG891NKZzjAMwzAMw1SHbdvYv3+/DCiOj4/LkTemaSIWi0GL6RCBD0VRoCgKXNeFaZqwbRu2bWNwcBCbNm1aMDnuui4mJycjg49zc3MyST44OIhEIoF4PA5d1wuKMl3Xheu6db9e0zTZhYhhGIZhGKYFzMzM4NChQ7KYcnZ2Vt5nmiZ0XYeu67AsC4lEArlcTmpQABgeHoaqquju7l5wX5ZlYWxsrOD5wHzCncZJjo6OQtd1JBIJGIaBWCwm45Se55Xsv1Y4Vrk0cGKcYRiGYY5QSFwmEomC4KCu67BtG4qiyGS0YRgwDANBEMAwDOTzeZimiT179mDjxo0FMxaFEDLomM/nkc1mMT09XfFYcrmc7OqZmZmBaZoNJ8LDxGKxgs4e3/chhKjZtpNhGIZhGIYphDQfMK8rqdiS7lMUBa//3i6kdBX/3/P6cOy6DhkENE0TruvCcRw89dRT2LJlS8G8cBrvk8/nkc/nMT09LZPuUfi+j1wuB13X4fs+ZmdnEYvFCo6pUcJFoUIIuK4LXdfrmkfJMAzDMAzDHCaTySAIAhnHIw0Xj8dh27bsDgcgNVgQBPK/mqZheHgYjuNg7dq1BcWMNOInn8/DdV0MDw9XdKWkfRuGgXQ6XVBs2SzCifFy9vFM8+FoMMMwDMMcodAMHtd1oWkafN+X94WFIc2AJAFIyWQSooODg5ibm4PjOFJg1gPN1CEh2ExM05RziLLZLPL5PFRVxZo1a9Db28uBTIZhGIZhmDoJB+9c15XaEZjXd7f+ZQITOR8T8DHlzHeLx+NxWJaFZDIpg5QA8NRTT6Gzs1N239SjCTVNk4nxfD7fdNtz0zQxOzuLsbEx2LYNIQQMw8C6devQ3t7O3eQMwzAMwzB1QjHHIAjgeR50XS+INZJ9Omm9IAik9qRu7iAIMDExUeB8WW+8knRuLBaD4zhNjx+aponp6WlMT0/DcRz4vo+enh709/dzM08L4SgwwzAMwxyBHDp0CIZhIJFIyOR4MpksSJCT1WUul5Nd4iQEi8UZdYTXKjJN00QymYSqqrBtG7lcDkKIpgtNXdexa9cupNNpeYxBEGB0dBQjIyMFj/V9v2InEsMwDMMwDDMPjeehcTi+78OyLMRiMZimiaxl41u/n9eJ/W0xPHOtDtM04TiO1JdCCLm9IAgwPT0NRVFqSoprmoZkMimPIZfLycBpI7bpUfuZm5vD/v37YVmWPHbXdUvmSwohpBUnwzAMwzAMUxkai2MYBlRVlXFIoNRyPBaLyeYdz/MAQDpdFm/Ptu2a4pVRujLcnd4sEokEDh48iEOHDiGXy8l47NTUFPbs2VOgkamQtNmNREcqXHLAMAzDMEcg+XwelmUVWFXmcrkCa8hEIlEwh5FEKQBZsRkml8sVdAiVg+Yy0ryeVqFpGuLxODzPq2jlPj09jf7+friui8HBQeTzeSiKgmOPPZbtixiGYRiGYSpA3Tye5yGZTAI47P4TBAFueXwWc+58AO/yM9YCmNeMiqJA0zQZ/CxOXtu2XWLLXgxpPd/34ThOU8fwFBOPx6FpGmzbxszMTNnHTUxMoK2tDaOjo5iYmIAQAu3t7diyZUvLjo1hGIZhGGY14Lqu1HPk+GNZFkzThO/7UFUVmqbJ+d7AvBb1fR+maUYmvx3Hga7rUBSlwCmzmFgsBsMwKurKZjXxmKYJVVULiiyLcV0XmUwG7e3tOHjwILLZLHzfx6ZNmwrGWTL1wR3jDMMwDHMEQmKwWICRMKP7wolhCnC2tbXB9/2CJDpw2K48Ho9HikVFUWAYBmzbhmVZFascywnDaqDKziAIZFVnJYQQGB8fl0lxuu3QoUMNHQfDMAzDMMxqh4KSxQghkLE9XP/QfHFiT0LDc7ekCu6n5LemaQVuRKqqIplMwrZtmWwvJqozvByNWKmbpim1bS6XW7BLZ25uDuPj4xgfH5c6cnZ2FlNTU3UfA8MwDMMwzJFAOHEdjsepqgrXdWUSPNy4EwSBdJ4kDRmGRuyoqlpWEyaTSXiet6CubNQFKJFIyDGS5JhZiYmJCYyOjiKTycj3ZnR0tKkzzo9UODHOMAzDMEcghmEgHo9LC3USjuHgJs3fSSaTBeKREuQ0FzKRSEDXddi2Ddd1pdV6cbc17a8aygVZKxGLxZBMJmWQVAhR9YzHycnJEmGZyWSwa9cueZ/nefB9H0IITpgzDMMwDMM8TTKZlON2kskkTNOEEALffzgNx5/XTG96Zi88z0MikZAFlFSESQWTiURCzhwnLUeORGGiOswrUc/Mb9M0ZUGn4zg1ab/R0dGS24aGhrBnzx5kMhk555JmYDIMwzAMwzDzmo2acHRdRyKRQCwWQy6XkzFGIYQcDRkurHQcB5qmSTdMXdcLYoSkvcLOmcB8sroW1yFKbNcCHY9lWdKRsxosy8Lk5GTBba7rYvfu3TJBzvHJ+mArdYZhGIY5wgiCAPl8Ho7jSDsiElKapsE0TWiaBs/z5HxHXdeh67oUlOEKxyhc15XbBrCgFWYx+XweqqpWFSwku6NcLleSUI/FYg1VUrqui+HhYQwPDxfc3tnZiQ0bNjR9FjrDMAzDMMxKg/RgMpmE67owDANDsx5u+st8t3iboeK8o9qh6zFpuU4W7I7jSL1ZTiuGx/XEYrEC7VoNtSSfE4kEfN8vGffTjAR2LpfDgQMHSm5fv349ent7G94+wzAMwzDMSseyrAIbdV3XEY/HEYvF5LhERVGgKAqEEDL5He7mJk1ZHA8UQsB1XWiaJu3Xa4lVAqhp5GIymZSjLJuJ7/vSoYhQFAXxeBybN2+uK3l/pMGJcYZhGIY5grBtGwcPHpTBPvpvPB6XXTFBEEDTNBiGIcUbCU6quKwm2WzbtpybU8/MRzqeclCyPiohTrQqcT0zMwPXdbF582boug7HcUqqThmGYRiGYVYrQghMT09jZGRE3haeCfnth9IIns5dv/rEbuiqIrXh3NwcgMO2ldUEJW3blkHSWp2FqrG9TCQS8Dyv7HG0srN7eHgYjuNg/fr1MmBrmmbL9scwDMMwDLOcEEJgbGxMJnrJwVLXdcRiMSiKgmw2KzvKSXOG/5+KKHVdrxizFELIkTyVYo7lqMaJiIpF64mF1guNKXrqqaewZcsWWTAA1JbMP1LgxDjDMAzDHAGQ/Y5t25HCjwKGZH3pOI60SrdtG/F4HJZlyVk+qqpW1QVeb1KcnhsFCWPLshZM0NdjnVktlmVhz549Mjm/c+dOrspkGIZhGGZVEwQBZmZmMDk5Wdbd54G907hvfxYAoGsKLtiekF05YR1KMyGp86dSF3gQBIjFYjVZqBNU3BmlGxdKiBPhmZetYGpqSmpbXdexY8eOlu6PYRiGYRhmqfF9H+l0GtPT05FaixLksVhMxiDJSShKE1JzzkKxQppXXg+VCjSTySQcx1nUhHgxvu9j79696OzsRCaTwdq1a9mZKAJOjDMMwzDMKiSTyWB0dBRCCGlVSaRSKQRBANu2SwKQFKykSkuazUO3CyHg+77s7imu1gxDCeN6KSdSa9kuJfFb1eVDIh2Y7/bp7OyUM9lbmZRnGIZhGIZZLA4ePIhsNit1ZVhXka6kxLIfCHzr91Py/gt2pLCmYz5ImM/npcYkSEdRV4uqqpFJ6uLn1Uq58Tq+71flhERWna0MdNLr9jwPIyMjSCaTcn47wzAMwzDMSicIAuzbtw9CCOmSQ7rSMAyZWC5OknueB8/zYBiG7MSmWeRhbNuWNuumacq54sXQ+Mh6cF03sqCzllil53mIxWJ1H8NCCCGQTqcBzBdfqqqKZDIJwzA4Vvk0rK4ZhmEYZpUxMTGBsbGxssngcPCSRGXUY4DD83BI8AkhpHizbVsmxYsDhaqq1j3fmzrCm0Eul4OiKGXFdTOZnZ3F7OwsgPngazKZxJo1a2CappzrbhgGzyVnGIZhGGZF4Ps+hoaGMDMzU/YxpCtJH961J4s90/P6TwHwiuM6oGkaNE0r0UBhnej7PjRNQy6XK9Gn8Xi8rk5xVVWl9mpG4DGXy0HTNMTj8ZZ3Ak1MTMj/NwwDbW1t6O/vl6+FOvA5uMkwDMMwzEogm81idHS0rIZyXVfqvXLFiJSUptGL4dhhOG5JMcAoC/Fw808t0H41TYtsNKoFep1h185W4TgODh06BGC+ICCZTKK7uxsdHR2y6JXuO5LgxDjDMAzDrDJM04Su67JTvFishYOQZEkZj8cLgpVklU5ClJK7wOGu8kQiAVVVI8VTeD55JcLzgnzfh+u6BV3YUdQqPoUQkcn7VuJ5HjKZDDKZTEHHuqqq6OzsRE9PT2R1K8MwDMMwzHKBktnJZBKWZUFRlJLCS0rMep4HyxP47p/S8r6ztqRw1NpOKIoCXddh27bsGnccRyaYFUWBqqpS44ULGVVVrSpYGA5Wkj17Pp9fMPBZaxDQ933kcjnE4/GWBjHDuK6LqakpTE9PF+hgXdfR3d2N7u5uOX+dYRiGYRhmOZJIRI/WCUPFkeFkLY0spC5tz/Pguq7URGSxTkWQ5OBoGEaJbq0lLmgYBmKxWIGurKT9fN9fcDRQMbZtL6qG831fNvXoug7f9xEEARRFQXt7O3p6epBKpY6IwktOjDMMwzDMKiObzcJxHNntXSz8PM8ruI26cMLBzlgsJpPevu8XJMNJGIYT32GxmUgkyorFZDJZYJm0UBI8Cpp9XmuSe7GCl8WE35sgCDA9PY3p6WmYpol4PA5d17Fu3bolOTaGYRiGYZhyCCEwNzeHfD6PVCqFXC5XMqubrCwty8JNj81h2jqc1H7FMW2yOFFVVRkspGQ4UTyWhxLmqqrCNM1IzUfd4MBhO/R6tJ7jOHVZWS6FA1BUsevY2BjGxsbQ1tYGIQT6+vrQ3t6+6MfGMAzDMAxTCdd1ZRd3PB6HoiglCXIhhHTHISdKsken2BrF0cIxxXg8LrcRi8WQzWYBQNqqCyFgGEbZpHU8HpfFldS0E+5gr4YgCKQmroV8Pl+xWKBVhPW8EEI29+i6jo6ODriuiy1btizqMS0m7OXJMAzDMKsIIYS0uyTRSAHLcBUiBSnpMWH7HACyAtP3fRiGIYVn2IrSNE35eLJVJ4qrMjVNk/N2LMuCbdsNzf0my85a8H1/WXVp27aNmZmZuuzmGYZhGIZhWg11eAOQhY2+75d0kliWhZm8iv/+87S87Zg+A8eticvn5nI5CCEQj8cRi8UQj8dlZ3gQBCU6NZFIIAiCyCBhIpGAEAK2bRccYz0EQVCXdaRt28tqPM7c3JycA88wDMMwDLPcyGQyAA4XNNq2jXg8XhBbpBGEvu9L3Vkcr1QUBa7rQtd1JJNJAChwagxrVCEEdF2XLkhRSWtyMqJ4ZT3jewjLsuqKOy6nDu18Po/JyUk5KnK1snxUPMMwDMMwDeM4jhRx4UQw2QqRaAQgO3GKu2vIMpOChLQ96sShrh/btgu2RxabAEqsgGjGdrMQQtQVxHQcZ1klxxmGYRiGYZYr4dni1GkTBIFMJocDmVf/zxhcX0B7Oq530XEd0sYynEAOgkC6ESmKIoORxd0+FLg0DKMkWFirTeVCkL6tBSEEYrFYzYWaDMMwDMMwRyJhXUmaz3EcKIoiRzUC88WHpmlCUZQSRx/TNGUskGKMiqLAsizoui6dhsIxSbJmLy7EJBpp2omiHnt0csZkFg9OjDMMwzDMKiIsNPP5fEE1JNlUGoYB0zTlLMd4PC5njJMQo9mJQGHloud5UmSSJSZBAVJVVeW2KGBabyK7EvUkuWnuOsMwDMMwDFMeslQkLMuSWo6CmFQkuWcmwD175y0rfQGsTcVw9o4umKYJ13WRzWblc8NJctu2kcvlZBdPONltmiYSiYQMliaTSRlkbIWWq9X2EpgPtJKdO8MwDMMwDBON4zgFTTnhzmoa1UiaT9M0eJ4H0zRljJLilrZtS8chgvQjuRORBXsYskr3fR/JZLIglthsByDqUq8VitcyiwOXtjIMwzDMKiFsox5GURSYpilFKHWAF8/pVhRF/h2e30OCkUQkQR0/uq5L0ZfP5+VttC16vu/7JQK2UeqxG1pOFkUAml4wwDAMwzAM0yi2bZdYSVLgMR6Py0RyNpvFN+4fAwAkdQW5vMArjuuA7+Xhe/OdPGSJCczrnuKZ4pqmIQgCuK4rdSN1/9BzKRkeHgXUTKiIs9ladbFhXckwDMMwzHIjKlYJoKAw0vd9WJYl521TR7iu6wVJdYrpkX6Mx+PyfuoMJyixTiN4whqUYpmtiBHWq1WX00ic1a4puWOcYRiGYVYJ+XxedmqT+NN1HUIIKIoiE9ZAaVIcOCzAyJqItpXL5UoqF6nTXNM0ORvIsizk83kEQQDHceS+LMuCZVktmcNYj9j0PG9ZJcfZ2p1hGIZhmOUGzfkOd9WQlvN9H6qqQtd1/Gp/Do+PO9BVIJcXSBkqXrgjJbeTTCbh+z40TUM8Hpe6MqwLPc+DYRjQNE0m3Knrx3GcgsfmcrmSMUDNQFXVupLiyymACaDA3p5hGIZhGGY5QGNraDQjcLgoMaz1YrEYbNsueC4lyMNjfMjF0rbtAp2oqqrUlKqqIpfLIQgCWJYFIQRyuZyMl+bzeak3m029McfllIxe7ZqSO8YZhmEYZpVACWoAMvjo+760sQQOB+9c15WJbbrNcZyCDqBYLFYgMC3LQiqVkvshiyJgPkEdTrbHYjHk83kkk0kIIQoe2yw0TSsRzNVQfKxLzWoXmwzDMAzDrDwcx5GakJLjlCx3HAeGYWBmLodv/3EaANCTjGF0zsPLju1CZ3J+RE8QBNIqPdwNTsTjcQRBIB2HCJoTSYHQWCyGIAhgGAY8z5MasJmBTJpJWSvFx7qUUCCYYRiGYRhmOZHNZgvcf4B5dyLDMJDP5wtikTRfnLrJKZlt27bs+vZ9XzbKWJaFeDwuY4+u68pucqC0iJFs2hVFgeu6LWniqVejLqeCy9XexMMd4wzDMAyzSgjbXeq6Ds/z5AweEqDU9e15HhzHkZ3etm1Ly0qC5j6SSEwkEshms3BdF0IIJBKJgseHA5rUle15HizLasksSJqBXg+t6DSqB0VRGnodDMMwDMMwrSCsK4UQCIJAaj+yo7xtt4XxrI/OuIrROQ+aArz4qITs9KZkMenPcLCPbC/pMcWFguHZjEEQyJE/ZLNZz+zGSjSS2G72sdTLag9gMgzDMAyz8giCoCAmaNs2giCQHd/AvO6kGCLFKT3Pk+6V1Pkd3mZ4/I7jOHBdVybFw7rOcZyCwkFqAiJny2bHB3Vdr6uJBzjcsLQcWO26khPjDMMwDLNK6OjowJo1a6S49H1fdukAQCqVKuiE0XVdBiGFECX2kalUqmCOo+d5SCQSUBRFVniGCYtUSviSGPU8r+mVj8VzL2vB9/1lITbj8XhLqlMZhmEYhmEaYf369ejs7AQw34njOA4cx5HWkBkX+P5DkwCAde3zZoTnbG9HXzJWUhCZz+eRSCRKRuCQDjJNs2JimjqAABTMKm8WYc1aD8ul4JJdiBiGYRiGWW4oioKBgQFZSEgFlqqqQtM0mYANxwzJoQgojf3R2EfSbtS4o6qqtFIv1qLhuBt1igPzGrXZrj+NFkwuF/ef1a4r2UqdYRiGYZaQmZkZ5HI5mYSOxeo/NWuahrVr16KjowN79uyRQUTf92EYRkF3NzBfJVnOMtI0TWSz2YLbwoIxl8shFotBURQpQsOJdZoVRAFPqgZtFqZp1l2BSSwHsblQBSZ183d2dnICnWEYhmGYsgRBgNHRUaiqKnVlI9ohHo9j06ZNME0To6Ojch/AvAXmV+8bhOUJbOvSsWtyPrj4imPbIrel63qJDi12KaIxN6QfwzrPcRwkEgnZeQ6gqW5EjWqsemaTt4KFdOXU1BR0XUdbW1vdsy8ZhmEYhln95PN5TE5OIpFIIJVKNRSrVBQFPT096OrqwlNPPRWZ8A5rKUVRKsb7HMcp0YFhXWlZFgzDgOu60HUduq4XxD6pO50afwA0ddRio7HK4kLSpYAKDMohhMDU1BQ6Ozsb+m4sJSvzqBmGYRhmhRMEAUZGRjA1NQUAmJyc77iJx+MymJlKpeqqNEwkEujv78fo6CiSySR835f257SPYtv0YqoJEJJdOtlqxmIxKSw9zytIrFPlZjOIxUo7kVYqlSowhRAYGRlBNpvFyMgIurq60NPTsyw63RmGYRiGWT44joMDBw7IQOP4+DgAyGAm6cp6igL7+vowOzsr5zd6noc/H0zj50/NAQC29JjYm87jlHUmtndHB9Cq0W2UFKe55PF4HLFYTOrYsG5NJpMNOQeFKR4NVC/LYc54JV3pui6Gh4chhIBhGDJAvVKDmQzDMAzDtIa5uTkMDg4WJKsNwyjQlJWSpuVQVRUbN27Enj17pGah8Yt0PzXBlEsOV6u3XNdFKpVCNpuVM8xjsRiCIIDruvB9X24nyhGzXqjQsxGWQ2KcZrCXI51OY3h4GCMjI+js7ERPT09BocFKgBUwwzAMwywyruticHAwMghHNpWUMNd1vaDrx/f9gn9CCOi6jng8DsMwEI/HoWka+vr6MDc3B8/z4Pu+FDVBEDRUvUjzIE3TLEh0U7Ja07RIO0nTNJtSganrOjRNa7gCE0DTrd3roVLhw9zcnCwu8H0fk5OTmJycRG9vL9atW7eiBCfDMAzDMK1hZmYGhw4digyiWZZVoDdN00QymUQikZCuQr7vS71I3SGkKw3DQCwWw8aNG7F//344jgNd1/HvD81AADhrcxIPDM4nyC86vqPsMUZ1VKuqKpOyqqpCURQoigLf96UeLqf5mpWAbkbwkojFYkuaGFcUpWLhw9jYmNS+rutiZGQEo6Oj2LRpEzo6yn92DMMwDMMcGQghMDY2Jgssw9D87unpaQDzsaxwkrw4Vun7PmKxWIGupGaa/v5+zM7OyvnhiUQCmqYhm80uqMuK54cTuq7L8Y/A4eQyJdp934/sRC/uJm+EtrY2zM3NNbydpS60BCrHKoMgwNjYGID570w6nUY6nUYymcSWLVuWhTtnNXBinGEYhmEWEdu2sXfv3qotF/P5vBQZ1aKqKnRdRxAEcra353nS0pwg4VicIFYUpaIQo3k8hmEgn88XvJYoAbSQDVK1mKYJx3Ga1tmyHKowywlGIYS0LS2G3AU4Oc4wDMMwRzYTExMYGRmp+vG2bdesyWiGYxAEEELgV0+l8dBQDrqmYGN7DPcdENjcqePMrZ2RXdxUVFmMoiiyyDJspR4mSi83q8Ob9teM8TwAllyTaZpW9hhs2468lhBCYHBwEJs3b0Z7e3uLj5BhGIZhmOWKEAIHDhzA7OxsVY/P5/OYmZnBzMxM1fvQNA2pVEp2bAOH7dRN05SxSdKI5Qoro9B1XcYKydEyrO/KNfE0o7BR07TIsUH1IoQoid8uNpWS21NTU5HvWS6Xw759+7B169YVkRznxDjDMAzDLBJBEJTYEbVqP0BplWEsFoMQAvl8XibFY7FYSTdOIpEoWzGpqqqc+yiEKLD1zuVy0gYzFotJ0Vlpe9USDpaSyG3UTn05zIMMJ/kty0Iul0MQBEin05GinZicnEQymURnZ+diHCbDMAzDMMuMXC5XU1K8XlzXlZor7wv8+x/mO4Ve9Yxu3LkrAwB47cl9cF0XpmnC8zz5eHIrisL3fQRBAMMwpIU6ORKRwxEVRIY1XzOChPF4XOrK5eAg1AyKA5DT09PyfawUtKZA+HHHHde0sUcMwzAMw6wsJiYmqk6K1wu5FEUVJIb1GBVVFhdNGoZRNrYYBIHsCtc0TcYlqVGHnIjCGlDTtIaT2bquQwghX1Oz3Ih0Xa8YE2w14VilEALT09PQNA2ZTAaZTKbs8yzLwvDwMDZu3LgYh9kQnBhnGIZhmEVidHR00YRNVGAr3MVDneL5fB75fB6JRAKu60LTtLIirrgTRVXVgsfSrB+yTAKaIwqj5qEbhtFwYnw5zCkPBzGnp6elhX45EomErIStZ/48wzAMwzArH9/3MTg4uCj78jwPiqJACIGfPDmLoVkPXaaKNSYwkZv//7M2zGuS4qBgpeJImkPoeZ6c9xhOetM2KFBaXHhZL8Ud547jlO1qr4WlTrAXBzBHRkYqFoFqmoZkMolYLMZzxhmGYRjmCCaXy5V1LGw25QocSYeFO71zuRzi8TiEEJGuRGFisZiMURZrPUVRSmaTx+PxpjTLxGKxgn01ywZ9qYsVw7HKXC6HoaGhio8n2/xYLCbnxy93WP0yDMMwzCLRDJvGalnIzrE4eGdZlgxQRgnOgzN5rO2KwX96BhBQKmjDQlNVVaRSKTkjuxGigqrUmd6okC0Wx4tNWGyWq86lzvDOzk4OXDIMwzAMI4sbF4tYLIbJORvfe2S+8/iNJ3XiJ0/Oz1B82THt0LVC3UlByXLJ5rD7UDKZhOu6JXqPNJ7v+0gmk/A8rykFplHasRk26EvtRBTWlDRLsxhVVdHR0YHOzk60tbUtuf07wzAMwzBLT7MswKthIeef4gYW0n6VRt8kk0k529swDFiWVRAvVFVV6mbP85BKpQqKL+slquOcGo8afU+XWqOFY4/l5qZrmoaOjg50dXUhmUwu+THXCkdXGYZhGGaRiMfjTUkUV0O9Aq9YpCqKgkQigQ/81xOYcwOct70d/+esHiSTSQghpOUl7ZOqOSnR3ijxeLysoAxbIFW7LTpWEmxLaU0U7sB3HKcgwG2apkyGUyECwzAMwzAMADkKZzGSsYqiIJ/P4/sPzyDrBtjapWNtu46npl3ENQUv2Rk9m9pxnBJdSbbppO0oKZ5MJuVjST8qiiKDoNRV3ijlnIxs24ZhGAt2IxGqqsIwDCiKUhAErPb5rSAcwAwXWyqKUpAMX+oOJIZhGIZhlhfhEYmtpp7Z06ZpRiZdaS45aTtd16EoCpLJJID5hH88Hpeje+i2Zsy/VhQFsVgsUovXqs/Dtu/0b6mdiMLvUTgxvpqKLDkxzjAMwzCLRDMSxdVgGEZd3emqqsqAHiXEbdvGLx4fx5w7H4xMGvPBNNu2C8RleH/xeFxWaTZCPB6H67plBaFlWXIOZTnIysdxnCVNgkcRJTRTqRQGBgYW9cKEYRiGYZiVRzKZbPksSGBevz4xPIPbnpzf11ue1Y0fPT7//y/ckUJHvDS4aBgGdF2XBaHFCXEAUp/pui4DmjTaJxxQJD3aaIBwofE+1QRJE4mEnCO5mE5Q1RClK9euXYuenp6mBIAZhmEYhlmdUOJ5MZKx9eyjWMdQvCysxaiYkvQexTTD2o+S5s0Y90juR1G4rluxwx2Yj7+apokgCMo6/Swl9J57nidjrxs2bEB7e/uqKbLkxDjDMAzDLBJdXV2YnJxsaSCNKhbrEZvZbBaGYSCZTMK2bSkWv3z/JABAVYC/e+46+L4vu5ujOmOakYAmS/dKr0MIUXF2JVA6B305oWkaHMeB67pIp9PQNA0bN27k2eEMwzAMwyzIunXrWp4YJ53173+YRiCAv9qQQG8yhgcPWVAAvOK4jsjnaZqGfD4PwzCgqmqk9jUMA77vF2jJqKLKZth7LqQXaT+VRuyoqrqoVqP1kM1m4boucrkcOjo60NfXt6I7eRiGYRiGaT2xWAx9fX0YHx9v6X7qtRj3fV8mkoUQJTFHXdehqmpBsjrcSU5E3VYP1ejKhWKypmku21glcFj3ZjIZAPPXHZ2dnUt8VM2FE+MMwzAMs0goioKBgQHs2bOnJdtPJpOwLKuupDgFAl3XLQhQ/mZ/Fll3fnsv2dm+aN0x1b4Gx3EqVrYutf1QJSzLwq5du+TfmzZt4qQ4wzAMwzBVEY/H0dfXh4mJiZZs3zRNWJaFPw5bePCQBU0B/vZZ3bjx0fkA2embEhhoj9YtVOBYjmZ067SCWCy2qLPbm8n4+LgMaGuahoGBAU6KMwzDMAxTFWvWrEE6nW6JDgrbmNdDEARwHKdsfE/TtEXVldXEGR3HQTweX3bOldUSjlW2t7eju7t7CY+mNayOvneGYRiGWSEkk0m0tbW1ZNtCiLoTweUsFv/l6W5xTQHe8eyeuo+tHqqxffR9v6JF/UoKCC6W1T7DMAzDMKuDNWvWtGzbtm3DDwS+9ftpAMBLj2lHUldx9555m+6LynSLA5UDhoqiLHqQsNr55JZlFczqDrOciy2LoVFCDMMwDMMw1aCqast0paZpFQsmFyKfz5fVYZUszVtFtXHGSo9bSboykUisqNhqtXBinGEYhmEWmVbNjmlEWGmaVpKI/s3+LLL5+W2+9JjWJPMXOqZqaERgl8MwjEWd893e3i6raBmGYRiGYaqh1fMIf7Z7DvvTebQZKl5/Yid+8uQs8gGws9fA8WvK66RKswcTicSiz1GsNjEOoKwea0RnJxKJRXUF6u3tXbR9MQzDMAyzOqhFLy0Wuq6v2FiZbdtNP3ayjF8sFEVZld3iAFupMwzDMMyiEjUPZ6lRFAWWZUFRFJimKastw93ibztt8QNs1VYkep5XdlZRvVWNsVgMuVxOik6yaxdCIAgCBEEAz/Pq2nYUa9euLfg7n89jcnISXV1dME0TQRBACFF1sQDDMAzDMKufVmlKVVUxa3u4/k9pAMAlJ3XC0BTc9uT8TPOLj+8oq7ESiQSy2Szi8Th83y/QS+XmjbeaWhLxuVwOmqY1NXmfz+fheR5isZgMkJKuJG3ZLOtS0zQLZkAKIZDNZjEzM4MNGzbI44nFYquy+4dhGIZhmPpYbrFKYD42Z1lW5BiecPxyudLsGJ6u63KkZDweh6qqMkZJmrKZGravr6+guFMIgUwmgyAIZMLc9/0VGavkxDjDMAzDLCKe57WsCrPezulEIiEFpu/7SCaT+OmjY7Jb/GXHtDftGGuhUrdRMZWS1LFYrK4ktq7r0HUdvu9HXiA0az5mZ2cnTNMEMH8hMjExgXQ6DUVRsHbtWgghcPDgQczNzWHnzp1sjckwDMMwDIDWBTANw8B//W4SM06AjR0xvGRnO36+ew4ZJ8DalIYzNyXLPpeCcY7jQFXVgqClaZpLMlu8Vu0dj8cjj7Ne7WcYhnRnyufzkUlwwzCa4oK0du1aWdCZyWQwMTEBy7LQ1dUFYP56Yc+ePUgkEtiyZUvD+2MYhmEYZnXQKl3ZSMMKNcDkcjmYpgnXdaWuW6oO91pchCzLgq7rJdrP87y6tV8yOa/DgyCI1KX1xkCLUVUVfX19cl/pdBoTExNwXRebN28GAGQyGQwODmLjxo0FhZkrAY6sMgzDMMwi0gyhqeu6rMajQGM8Hq9728XPy+Vy+PoDUwDmu8XfetrizhYnahHP+Xw+smuc/q5VcCqKUhC4DNsVOY7TVAFu2zb27dtXImoVRUE2m0U2m0Umk8GaNWs4Kc4wDMMwjKQZujKRSMiOZdI3I3MefvR4BgDw5md2Q1WAmx+b//uvj+uApkZrtOLOnSAIYNs2kskkXNeNdPdZLGoJElqWJTtwwuRyubqCjcVz1alznN4foLaC0EqMj4/LoGU4CGvbNhzHweDgIHzfL3ErYhiGYRjmyKZRXakoChKJBAAUxLbqLfwzDKNAc9m2jVgsJmOiS1FsCdSekI/FYiWJcfq71qJLRVEK9CM5f5LW9H2/afFKRVEwNDQEIQRyuVzJZ2EYBg4ePAhd19HevjQNVY3A0VWGYRiGWSFQ100ul0M+n4eqqjI4V69tTZQI++WeOeSe7hZ/xbFLJ25I4AEoqAotRyW7oFgs1lAXThAEBcFc0zSbFsB0HCfyAiQIAuzbtw/AfOHDmjVrmrI/hmEYhmFWB41YYZOlN+mbcFL73+4fgRcAp6wz8ewNCfzPQQuHZj2kdAXn72gru81yHTS5XE52MS8FmqbBMAypnRcKQAohChyVwpDursWmsvh1e54ng4thvdsMyr0227axa9cuAEB/f39T98kwDMMwzJGNaZrwfV/qEGpcieqWrgZN0yILKklDNSseVw+qqsrCUmDhggLLssoWVtZqe0526eG/w++TYRhVad1q8H0fMzMzkfeNjY1hfHwcQghs3LhxST+PeuHEOMMwDMMsIvV2/CaTSTiOUyBugiCQgb56RU+UgPva/xzuFn/zs5amWzyZTCKbzcq/q5kd5Lpu2c55x3EKAoDhQHI9QWXbtmUl7GKwUoUmwzAMwzCtox5dGS60DEPa5pERC7/el4WqAG95VjcURcFNT3eLX3h0O5J6tB5ZSKstZVJcVVX5el3Xrao7h+Y3Rh03JdiBwzqyXm1JAc3F0pWmaXKxJcMwDMMwJcRisZoTtdTBHeXeSDG4ehLj5cbaEEtlox6Px2HbttSH4YalShR3vxOu68qO7zDltKQQouK+XNdtymieahBCoLe3V1q7rzQ4Mc4cEQghGqqmZxiGaRa6rtf8nErzGOsRmERUEvmup2ZhefMC7+LjOurediNECWDbtkvmCdWC7/s1CXxN06S4sywrMii6WAHevr6+RU3CMwxTHtaUDMMsJ2pNjFNQrpyuzOZy+PpvRgAAF+xow9ZuA7smHfx5zIGmAC+v4CS0XAv4onRlLpdbMDnu+37Zx9Sqvw3DkLpyqWw/iQ0bNvB5jGGWCawrGYZZTsRisZrs1EknlUvU2rZd9xrXqnnnjRIEQUEsMNywVCkhncvlIh2HhBALNgEVQ5rS87yy+1wMpybDMFb0aJ7leeXCME1meHhYLhSu69Zc/cQwDNMsVFWtWRi26mI5SiT964PTAOa7xd/0zO6W7HchygVWSVQnEomyj3EcR1qDNgJZQJVLii8mHR1LU6DAMEwprutieHhYXhBblrVk1eoMwzC1Jsbz+XxFXXPP3ix2TblI6ArecHIXAOCmR+e7xZ+/NYW+5MrqrQh3iheTy+UQj8cRj8fLau1mddy4rotcLlfxvV+M5Jiu61xsyTDLiHQ6jbm5OQDzyZWFOg4ZhmFaSa26sppYWb3xtOVYNJRIJCKLI/P5vHQkqjTmMh6PN+U4crkccrlcxaLUxXj/2tvbl21hbDWsrKsahqmBIAigKAoURYGqqti9eze6urowPT0NIQTWrVuHvr6+pT5MhmGOMBRFQSwWq6nTZLGSLuFu8VefsDTJ2CgLpjC+78v7aXZOPp8veD+jhGg1lpnFUKC0XPXmYiXMl+MFAcMcafi+LyvBM5kMZmdnYRgG5ubmoKoqtm3bxskGhmEWnVqdiIQQZTWR7QW47qE0AOC1z+hEd0LD2JyHew/MP/ai41deoV4l1yWgsBvJNE2oqlpQFOl5npyRSWiatqC9ZzEUCOWkF8MwwOFO8Xg8jj179qCnpwfZbBaO46C9vR2bN2/ma0CGYRadWnWlZVlQVbUlMcvluAYu1GhJ2lDXdei6jiAICuKJUe8XzWavJUacTCYX7DRfjPdvOX5GtcCJcWZFMzs7C9u2kcvlkM/n0dfXJ/+2LAsbNmxAV1cX2traMDExgampKfnckZERxONxtLcftoOjC+NmVfAwDMNEoet6TaLHcZyan1MNxYndbz7dLR5TgUtPWZpu8VpeJ83OURSlwLaI5jSGRVqtgchqZpozDLN6CIIA6XRa6kjDMNDW1oZsNotcLgff97Fz507EYjG0t7djampKrjlBEODAgQPYsWNHQZX97Ows2traVvwFI8Mwy5d6ZoyX00Q/fDSDyZyPtSkNf33sfBL8R49nEAjg5HUmtnc37sizmFQqboyCHlusRR3HkUlzYOGgaBSUcGcY5sjAcRypKbPZLHp7eyGEkF1+iUQCmzZtkk5o4Vjl7OwsRkZGsH79enkbPTeVSi3Fy2EY5gihHl25UBFivSy3a+ioUZTlCDfvhAtShRAwDKOgmce27Zq7rh3HWVCPLrf3bznCiXFmRZNOpzEzMyP/PnjwYMH9Y2Nj0DSt7MX/gQMH0NbWJpPnIyMjcpGiebSe58H3fQghcMwxx/DCwjBMw9QzZ7yahDEF7aoVpeHE+M92z8J+ulv8VYvQEaRpWsn8okQiUZegFkIgFosV2F0WBx9rLXiqZq1fLMsgPu8wTOtRFAXDw8NyXbRtG5lMpuAxIyMj6OjoiHSLyOfz2LVrFzo7O9HR0YF4PI7BwUF0dXUhCIICTen7Ptrb27Fx48ZFeW0Mw6xeYrFYzZ06ruuWBPcmch5u/Mv8mvc3z+xGMq4jlw/w86eyAICLjlve3eLxeFyus4RpmnUlo/P5PGKxmNxWcbcPcHi2YzWoqlpVgn4xnIhWst0lw6wkHMfB4OCg/PvQoUMF97uui46ODulGVLxGTE5OwrZtdHV1ob29HdlsFqOjo+jq6irQk7TubdiwAW1tbYvy2hiGWb3UM5awmsYWclZbKUWCxY0yjXTFFyewo5LrtcT8ip2MolAUZVFcila6ruTEOLOiWeji0XVd7N+/v8DaUlVVmKYJYL5a3vM8HDx4EKZpIgiCkgUqmUxCVVUIIXDw4EEYhgHTNJFKpeqqpGIYhunq6ioo6qmGSgE1WtcoqZxMJuH7PoIggK7r8DxPBvjCyePwGnrVIneLa5oGx3EQj8fl3PVGqkwXEuO0r4UqPBVFqTqQuhgJa1VV2cWEYRYB13VhGEbFNSKdTiOdThdcAMbjcWiaBiEEHMeBZVmwLAuKokDTtIIOIFqraT0eHBxEPB5HIpHgznKGYepCURR0dnZienq6pucVB7K+81Aaji9w/Jo4zt3RCU3TcOvDk8jlA2zpMvCc7V0QQkDTNPi+LwsSl4s1OOlKcgwKgqDu4Gs1ejGfz0NRlAXjEYZhQAhRVdC42i6kRqgloc8wTP14nrdgImVwcLAk+UJrGK0bQ0NDSCaTCIIArutibGxMPpasemOxGKanp5HNZmGaJhKJRF3JLYZhmLa2tpqTwPl8vqJ2omvsIAgQj8fltikOSPsrjnku5bWx7/tyfaW/w7HUWqg0c5yodkRPIpGoqthyobhGs1jpo+Q4q8esWIIgQDabhaIo8ocYBAHy+XxJNU54oVVVtSQ5pGmafAzN+aFgQXhhCl9cb926lSsyGYZZNIIgKKgMpJky+XwenucVrFW5XA7JZBKO48hAHK15sVgMhmEUrJW375qF7c8H9l7zjM5FeT0kchsVa5Q4rib46ft+RZFPwctqA6mLEQxOpVKcLGOYRYDG8miahkQiIbu8XdctSXxQwZHv+1AUpWAerW3b0HVdJsaDIIBhGPJ3HHXBq2kajj322Na/SIZhmKch28YgCLB7Ko9f7JnvDH/raT3wPA+2m8ctj88CmO8WL7YCJ11JxUHLZfxMo51I4YBtJfL5fNlZ7cRC94cJd6i3ErZhZpjFYW5uDkII6egWdg4KEwRBSZFNeN3QdV12htP4MEqyOI4jHxte+7q7u7Fhw4ZWvjyGYVYpiqLUFX8KF1wahoFYLCbnZofzLzSexvO8kligpmnSAchxnCWNgwkh4Hlew+Msq01k53K5isUFlPuqVldWk4xvBiu94JIT48yKxbIs+L4vF4ZEIiEFY3H3JN3veZ4UlmHIKp3+SwtfLBZDLBaDruslF9nUdc4wTCFCCARBIP9L/0gcMfWvH9QBHtX9XUw5QUVOGcDhjpirf3e4W/wNJ3XVdWz1EJ4LXg/JZBK2bdeUyA4XF9AaH1UIVQ3F9u2tgAOYDLM42LYtg5Ou6yIWi5XoQbqodRxHOnOQqxAhhIDrujIQGovFYFmWPP/F43H5GMI0TS6AYZgyhLUk/RNCyLmsTH26kt5Dz/NwzR/mOxDP3ZbC0b3zXYb37s9hIuejy1Rx9tZk2TUqrDeXch1TVbUhm8ty1/yVoBiDZVlQVRW6rstC+yAIatKV9Hm02mKUdSXDtB4hBGzbli5kyeT8Gkq6MWyd7rquLKiMipXQnFq6X9M0qVMVRUEymSwo0AQ4VskwlRBCFMQqhRCy6ISBfC9q1SN0vUvXv5U0kG3biMfjJQWBvu/L58VisUUZMVMOKoSvFyqMr+V9DDfyKIoidaWqqsjn8zXpyiAIWl50mUgkFi0B3yo4Q8GsWGhBoAtw13VlwpsqjMJYliWtJML3UbchJcapOipczel5HlKpFLLZ+Up6CpAyDFPIzMwMhoeHI0++qqqit7cXfX19K/7k2Si6rpfYplUDBR8rVS1SYVBURXoxvu/jjqdycJ7uFn/jKb0NBRVrgRw+EomErMasVrSZplkgmmvBsixpA1rLPqPI5XIF32UKVDQTDmAyzOJAGk/XdRlwpLXQ87ySYAk5cxSvQ2RrSeMbCLLUpDUnrCs5gMkwpfi+j7GxMUxOTkber+s61q5di87OziO+sKS9vR3Dw8M1Py+Xy+He/Vk8MmIhril40yldAOaDxjc9Nj9v/JXHd6OzPVVVYI/cjcJ/R7lutAIKbpPlcJSLXDkosVSPJqTRGVEj2WrB933ZxU+EC/2bAZ2fGIZpLdQhSdqROgEBSKczuh6lx1NRTfE6Qr/bXC4nO8vD17A0Mk1RFBkjYF3JMKW4rovh4WHMzs5G3t/V1YX+/n5OkGNeV9ZTqEfrUqWYGBWPL6RvqLExHo8XjJdYjFglMK/LyE2YXDqrQdO0ugoLgMPrOXBYQ9eLbduy6JOgBoBmsdK7xQFOjDMrmHA3eCqVghBC3kbVXzSfx/M8uagYhlFwkRy+4KQZkVQZRBaYVKlEC/hKn6HAMM0mn89jeHgYmUym7GOCIMD4+DimpqawdevWI/531N7e3hLbyWpn0wDzwuvqBycAALoKvPr4NtmVHhZQUfN+GoWEZVgwUnUqdWBG7bOeggKCkv7VBkqrIbytVoh0DmwwTOsJr3FUsBOefUZV22Fd6bpuZHK8uEuQZt7SmkYdP9RBBHABDMMUMzs7i6GhoYqFgPl8HgcPHsTk5CS2bdt2RHePG4ZR1VzsYlxf4No/pgEAFx/fgb7UfHjokVEHT025iGsKXn58d9W6kgrRi4NuhmHAMIyCYqNWOO6E4wEAZBc3FS5GBTVrsaUMQ8UY1HnWDIq31eyCgiP92othFgu6vnVdF6lUqsRKGJi/xqMkNyV8HMeBruvy3EcuEvQ3JTVIk1KHJq271JkeLsxkmCMdIQSmp6cxMjJSMV6TTqcxMzODdevWobe3dxGPcPnR3t6OsbGxlmy7llheVEKakr0UM6Rr7GZrJlVVC46VOrhpFG857VjLaMbi/QVB0NQO7+JtNTu2uBp0JSfGmRVJ8UITrtCmGWdkWwQcrgKngCYtZECh5Zvv+zLAGe7kyefz0HVdLorr169flNfJMMsdIQTS6TRGRkaqTjb6vo9Dhw5hx44dq6rDRwiBTCaDiYkJWd24YcOGshemrXCdoLWuWm59fAa2Ny8gLwlZqNOaR2KvFVWzZFlVHACktVxV1YJKeqLewDdVe7bSorLZYpyq/xmGaS3hdYHmQFIAkwoow9rTNE3EYjG5vpO+pHUtXLxpGIbsFgcgg5+03Xg8jvb29sV8uQyzbPF9H8PDw0in01U/x7IsjI+PY+3ata07sCWAOuZnZ2fh+z46Ojqwfv36SB1Ehdy1JsZveTyD0TkPPQkNrzqhQ95O3eIX7OxEHNXPViTHjWJc1y0I9iWTyaYnxqOC3eEYAbkpFVNvAHIxbM9boSsZhmk94YRJeGQj/U2d4aQPqamH1ne6Do5aA8IxSwCyg5Jm+fb19fFvnWGexnEcHDp0qOoCOCEERkZG0NbWtuoKTFzXxdjYGBzHgRACa9euLXsNSnGoZuoQiinWov/oOjoMrZthDdYKy/DiOFzxKLQoHRgubKqVZrsERdHs2OJqcCHisyWzIimuGqKkdz6flwt4uLKHqjApWEk2Rb7vl/yQHceRQjWclKH/dnR0tLwqhuzfaJZQPB4vSOYzzHJACIHh4WFMTU3V/FzbtjExMYE1a9a04MgWH9u2MTw8LItpgPl16qmnnsKOHTtKRPXExARGRkaafhzhkRHVcO0fZwDMd4u/5hmd8nZN0wpEWSus7xcS2hQgKBab9XZlB0GwKN1kUcn8euGgBsMsDuH1zvd9GXQkLVm8JpIlOtlWFhdjhtE0TerUMLQerV27tqX6jrqRSDtTQv9IH2nCLD88z8OePXvqSpiOj4+js7Nz1bisUGdTWE9MT0/Dtm1s3769YM0QQmDv3r01J2nTto8b/jyvA990ShfM2PyaNDiTx4OHLCgALj6+s6bAaLmAYLGzRius1RdaR23bjtSV9QQwa3FnaoRmv0+rIYDJMCuB8PqQy+VkVzfFMDVNk/9PhU2+78v1KexkEXbhcBxHJk/CLmo0lxYA+vr6Wv76qIBUCAHDMDhWySxLstks9u3bV/O5VAiBQ4cOYdu2baviex0EASYmJjA+Pl7wXuzfvx8DAwPo6ekpeLzjONi7d2/TNQi5WtSi88slu4uvY1s5R7sc5N4Rfp9isVhdujKZTC7K2KFmf59XQ7xy5b8C5ogkKulAIjJcjUk8NjKHnWvmA5KUtKDAST6flwFCqmanIGL4Ip4W2lZZqlDn7ejoaNn5zGSTR3Z08Xicg5vMkjExMVFXUpwYGxtDR0fHiq/EFELgwIEDkQIvCAJMT09j3bp1BbdPT0+37FiqFTu3PD5zeLb4yV0F9xUH/CzLkqMkfN9vaIYiUY11Je232MKoVmgtr0W4GYYhOztrgd6jZrAahCbDrASiCm4o6Bi1TlEnuGEYBfaYsVgMtm3L81o4oW5ZVonVcSwWa1m3uO/7GBoaQiaTibzQpvlnxbrSNM1VEQRiVhZBEGD//v0NdREfOnSoJGm8ErEsC4cOHSp7HyV4Cdu26+pcvv5PaVh5gaN6DJy7/fA4h5uf7hY/fVMC/cnauoXKaabiz5VeAxUX1dtdE6aa43RdV3ZnAoV26M3eVxjqVjcMo6aEerNH9LCuZJjFofhaMOyWEbUGUMMOFe8oilKQcKHnhYt7itdNXdeRSqVa9jt3HAdDQ0OwLKtkbSoXqzQMg9cdZklwHAcHDhyoO9mYy+UwPT1dkjReiUxMTJS1RZ+cnER3d3eBdp6ZmWlZormWz6OcC1HU/G5aa5oVq6zGabLYvQOoL1ZJTp21NGAmk0n4vl/SFLrYrIb1feW/AmbV4/t+SeK33GITvtAlHhmx8OE7x7CpI4bPX7AOazqTiMfjcu64qqpwHAfJZBK6rsvFr9i6iBJFU1NTchYkdXY3mtirxjaQ5l8WL3qapmFgYACdnZ1lnskwzSWfz2Nqagrj4+MNbUcIgaGhIWzdunVFBzFnZmYqBnLT6XRBR6DrunWLtXDCIizUaA0iS7Zq+HaoW/xVJxR2i0eJwPDaE7XW1kq1x0nOGbQe17rfWCwmxWq13zMKOtTTYd7MrnTu7GGY5kJ2ltVexFX6PbuuK2dH0mwzSow7jlOSANF1vWDt9zwPnuchk8mgs7OzYM5ko+MrLMvC4OBgxXMTdSYVr/eJRAIbNmxYNZ23zPJGCIFsNovx8fGGbakty8LU1NSKnwu50EzH6enpguDZ3NxczfvYN+3iZ7vnn/fOM/vRlkohl8shbfv4xZ75219zYk/ZoGQU1XaLA4Vj0UzTbDgxHh55Vgnf9wsSS0KIsomqcoQfX60eVhRFJsZrodmJcdaVDNNc6Pq0+Bqz3DVnud90eE2kzkFFUaQjUXimOG0/nByiQs1MJoO1a9fK+CklThq9Pp2ZmcGhQ4fKHn+5WCUArFmzBmvWrFkU5zaGEUJgdnYWw8PDDTcrjIyMoL29fUWfO33fx8TERNn7HceBZVkFjmezs7N17YucMWisA60XmqZJnVZL3LecroxqDKTrcqB8AVItVGtrXuzeYVlWzQ6SmqYhn89XXTRAyfAgCJb0ep1Gfqx0ODHOLFt838fBgwcxOzuLNWvWFMyNK3fxHIvFSi7e79g9b208mPFw2Q8P4sPnDOD0Ab3gObFYrKDTkhZgRVGkMM3n89L2Y9euXfA8TwrNE044oe7XWU3wshK+72NwcBC2ba+62XpMawlfwDiOI0+usVgMuq7L3wb9v+M4mJ6eLrALb5RsNov9+/dj7dq1VVfIhY87kUgsaXebEGLBAgHP8zA3Nye7AusVmmGBF1UsZNt21SLwpkdn4D7dLX7pKV0F9y1kD9mM+T1hS7iFKK7EpEKmasVu1FyiatE0reagZDMv+ldDBSbDLBdyuRwGBwfheR62bt0qixyB+qx0Cd/35cUwnZdoHA+tl7RmURJdCIEgCJBMJuVoDTqGrq4ubNy4sa5jEUJgamoKIyMjdXdIWJaFp556Ctu2bSuxhWeYctC1UlhX0niqKE2paRpmZ2eRTqeb0i1MjIyMwHVdrFmzpupzaD6fh2VZ8DwPbW1tBcnLxRrDQliWtaBOnJmZwbp16+Rx1dopIoTANX+YRiCAszYnsbP7sKa87YlZ5ANgZ6+Bnd1aTa+9XABzoc+3Ge9vLTMdqfCR9F1xUHMhwpqyuOApimq6jsrBHeMMs3yZmprC2NgYdF0vcCuhQscoFkqWaJoGx3Fkc5DjODIhHm7GoUQ4OW9Qx7mmadi/f39BYmrz5s3o6Oio6zUGQYDh4eGG3O7Gx8cxNze3KhxdmMWDfkdhXem6btlYJTmwptPpprn3BUGAffv2yVnc1X5/SVdqmoZkMrmk3/vJyckFtcT09LS85iseW1stuq7D930Zowu7pFF8sZZiSyC6kSaqW7yYZnz+9V6bCCFkk2U1Go6K6mvZZ3iEW62vtZl27atFU66OV8GsOnzfx759++SPfXJysqDKsFzAIKpa5QPP7cPWrhiue2gGXgB88hdDOHNTAh987hq0JU05G6etrQ1CiIJKTApiuq4ru3iKF+daTo62bctuUfpvs4JBExMT6OnpWdHVbMudfD4P3/dhGEZTg2Rk4b8Y1V6O42BsbAyWZTVkV9lM5ubmMDc3h46ODnR3dyMWi8nqM7KlzuVy8p9t2yVzXBRFQRAE0HVdVld3dnaira2tpcc+MzNTVfd3Op1Ge3s78vk8JicnS+x0F6K4YrE4WUwJlmqTxd95KA0AMNT5+ZFENcE7XdcbToxHFTFVonidzOVyVb/esFgsJxzJUpg6ehrtWiu3j1qF62oRmwyz1MzNzeHAgQPyAjXs/kOdBVEsdPFYvA7RhaqqqlBVFfF4HKqqFozlURQFjuNI27RiqtGV1KFOycewtmxGIkUIgdHRUWzbtq3hbTHR0GdI9qPNCppRB7Zpmi0/hwghkMlkMDk5KYsro2jFObXSMU1OTsrO8ba2Nqkn6b+O4xToymKNQQFW0lbUVdzT09Owm8NCLNQtDsxrmdnZWXR2diKTydTcMf67IRt/HLYRU4E3n9oF4Gmrc03HbU/Or4UXn9BZU7IYiA7oRc30LqYZQbpaNHVUcSaNwFhoO8X6tVynDFl6CiEasvSs9N6wrmSYpYOKGoF5bTc7OyuTz7lcruxvc6HYHzUjAIcTLJZlyQR4MplEPp+XjyHHjUqF49XqymJNSf+aoSsty0I6nUZ3d3fD22KiEULAdV3out7UWGUQBHK2fasTvEEQYGpqCplMRhaILDVkyW6aJvr7+2EYhtST4QLFcrqSuqWDIEAQBIjH49B1HW1tbejs7Gzpe7pQtzgxMzOD9evXQ1EUTExM1FRsCBwucAyvFfT+0G3k2lvtZ1ouiV5Nh3Kjce5aY7XFvzfXdRGPx2WuqRLhJh4qiIp6j8K6cimt08OsltwTK2NmWREEAWZnZzE2NlawEAVBgEwmg66uLti2XdZyvNxJ5dXP6MIZW9rxoTuGMGMH+O2ghTf98CD++aWbsaUzJrsCo4RkOBke1SkphMDBgwdltRodh6qqMsFCJ8dauiTrwfO8VbM4LQeCIEA2m8Xc3Byy2aw8AcXjcWzZsqUpwTHXdfHkk08CANra2tDX14dUKtV0geT7PsbGxjA1NdXUKrFmkslkkMlkan4eJRrCHefT09OYnp5GZ2cnNmzY0JJun2q6xQkKXB48eBCe59U0P8YwjEhhRhfJwPyaU21S/Ma/zCD/tGa97OmAKLGQZRCta62GbJjouxoVVK0mOV58v+u6BR2QtL5TVW8x5BRSixVT+LerqipM04Tv+3VX3jIMUz/5fB7T09MYHx8vOPdlMhl58TkxMVH2Ir1SMDCRSJSsDWGtF+4kJxzHQTwel13jUbqSzhXUCQHMryWUUM/lcrAsC7FYrKmdtsX4vl/gpsQ0BnVUUzFgNpuV37uuri5s2LChKe/15OQkRkZGoCgKurq60NfXV9XIp1o/61wuh5GRkYatCluFEAITExNVBQSLIctrwzDkGjAxMYHJyUmsW7euZVbt1XSLE9PT08jn8zIxU20S2wsErv1jGgDw18d2YF37vM7wPA8/eyqHjBNgbZuO521tbzjZTNutRLjrpZVQUom+51HHSoHMcq+bAuFhyBEEgFzXKbEUtY9cLldzPCAcJI3H47KLdCGHp2IURVkVlpcMs5Q4joOJiYmSDup0Oo2Ojg5ZWBjFQsUsxYVEVIyeTCbLJgmrabSZmpqS3Zo0u1xVVWnfTroyStc2k+XSlLGacF1X6sq5uTnpcrNp0ybpVtgo+/btQy6XQzweR19fHzo7O5seW6MiZXL9WY7Yto0DBw6U3B4e+ReF7/tyjAtd9zmOg3Q6jcnJSWzcuLHh0azlqKZbHJi/3p2ZmcHc3BxmZmZq/nwNwyjRoORyQdrJsqya54sXr23VdIs3w0a9GqhwlsbrFkPFJI7jlH3dUZqz+Lvg+77UlFG/jVo/q+LvA31Gtm1Hfo6VWC3FlqvjVTCrhunpaQwPD0feNzk5ifb29oqzvCot+jv6kvjOxRvxuV+P47eDFjJOgLf/cB9ee2In3nrG+qoW6SirYrJsARauim+lFd+6detqSratJHzfl0HhZkOBynBl7ELd/I7jYO/evTj66KMb/kzDJxMStLquyy4zqiwMgkCeeOlfd3c3+vv7FzwhTU1NYXR0dFlUXLYCVVUL5kiHmZmZQSwWw/r165u+32q7xYHD3XcUICy2cYyC7o/qriZrUrJOqyV4+R8PpwEAhqbglcdV3y2uKErksZBdMFUpN4Pi2bzlyOVySCQSJS4C5BoQNdOyVqGcz+drso/P5/MwTVMGR2l/9QjH1SI2GWapGBwcLFv0OD4+jnXr1pV9LiUfoojH4yUXjnRxS84yUYR/0/l8Hrqul2jHfD5ftgA0TD2FO9WiaRo2b968KpPiNGde07SWvD7qrInSleXO+el0GoqiYMOGDQ3vnxJfQghZJEjdKXR8xXqSAqn9/f3o7u6uqG1938fw8HBV39GVCumKYk0jhMDw8DDi8XhLHImq6RYn5ubmCn77C32X6f6f7srgQNpFR1zFa59xWAMa8Th++OgQAOAVx7ZDBNVfMyQSiUj9t9B1cbkkNNmi1mLnSQ5T5aDfZSVIt0WtqzQzs/h1lgtUlqOclq4EFd/XqvejtrMa13SGWSw8z8OuXbsi75udnYVt2zBNs+y5vlIxS9S6QzqUXAujCHdlUtF4Pp8viGPNzs5idnZ2wTWZXGyaPcIBmH99/f39Td/ucqDcnPlmEQSBPNcU68qo70UQBDhw4EDJ2Kh6IU3oOA4OHTqE0dFRJBKJArvoqHilaZpYt27dgq6Ytm1jeHi4qeMaF5Nq8gjlrtcsy8KBAwewY8eOpucKfN/H5ORk1Y+fmpqS60MQBAuuF1QQEHVNDBxOHAshanY2SiaTkfteqLiv3PtMLgrVaqiF1sCwG1wlbNuGruuRzsPl3t9ar+td163KnYmgERz0/+H3pNYGutUSq1wdr4JZNVRagC3Lwr59+7B169bIJIWu62WrW2ibmqrgI2f34+69c/jqbyfhBcB/PjKD+wdz+MQL+tGbPPyTIDvn4oUpl8vJak+6UKWL7YUu3qkKp9lVcO3t7ejp6WnqNpcKmsdMs2Rs25bvazwex1FHHdWQ6LRtWyY0SVDW00FNXT/1zmsiii1maNvVdIFNTU0hnU5jzZo16O3tjRRTYZuv1cpCXc5UVNOsICbZdJarBq/0vDCVjjuZTMr1IqozmjoNqfOlnAik5AxVhv/nQ5Nwn75+evOpnQWPXeh9LBa9FGQPX6zrui6rOxvpZKzlN0mdk1RBGq5KbZRaRCZR7rXXY0E/NTXFM34ZpgE0TSubfKFO0nIdFeUCmKQBi9epcHCqXJKoWCvm8/mCc7dpmlBVVa4hC62jreqqGBgYaLll9GJhWZZ0/SH7efrs+vr6KhZHLARZiWezWRmsrNdVhWwMm1lwSdCxVYIS3tQVHTVLMQgC7N+/f9l2iTeLqN93mIMHD+Loo49uWvet67oYHh6uuluciMfjUqNYllW2a1xRFBiGgVnHx/f+NAMAeNMze5EyDn/X7n0qjYMzeaR0FX/9jD4k9FIdRbPhhRAF1y/ldFKl3wJpxfD7TJorrKPCnSwLFZNWopaEMnXGkZasRwtGQcHRWn8/5Y691oLnfD6P2dnZpnURMsyRBnVvR3U+CiGwd+9ebN26VV7HF1PuNxulN8NF4qQVi9fAqOv/cHJcURTZfWjb9oIxtFpHs1ULdTCvhsIcWsPDsUoq0Nc0DVu3bm2oWYk6d8PjkuqJqVBxZDMS48W6kkYHLMTc3Bx2794tm3minPCo4Wi1NvAA89eNlX5TjuNgdHS0qY08uVwOQ0NDNb2vtEbQ2ub7ftlueMqB0NoVpZNIK1qWJdfE4jWM4nb0+9E0DZ7nlU1uV9JiUY4XYV1J+4vH4wsWGi6UGK+ls5rW4mQyKUf0NmudpddXi0Ytp9trKRwg0uk01q1bt+LXdk6MM8sG3/elCAgHMsOLuWVZ2Lt3b8EcBqLcHIyoRefcbW145oY2fOAnhzA852FfOo+33HwIf3dmL87ZNp88i+pYpIAlcLiShxaVai0tW2Fh1tXVteIXI9d1pS1VuWAUXRDU+x5OTU1haGiokcMsIJPJNJwYByCt/OshCAKMjo5icnISbW1tME0TiURCjiWYmppq+PiWO9TdUUng0PvTKK7r4sCBA3XNdSkO2pWzAg/fRnaexckP6mYKz+wpvj/cxUKi6du/n7d+j2sKXnZs9d3iUceZz+ehaVpBIDYczIyqWCeabefveZ60qFcUpWF7YQoiN9Pes57fOFlvsfUlw9RO2JaY5nIVr2MTExNlkzfl1pHw/EeimllsxR3DVFxJHYSU/AnfvxCe59U8B3ghFEVZ8YkT6k4YHx9fcDxII+zbt69pHS5BEDSl4LLR8wXpHNM0kUwmYZqm/I5NT08v6rzwpaSShvE8D5lMpimzUtPpNIaGhmrWCOECGoK6FcPrASVGbNvGdb+bwqwbYEuXjr8+oReOffiz/NET8908Fx7dBngOFONwUR6NhcnlcnK9XKiYcqFksqZpJcdPtpthW8rwWhsOKka9H5X2RZ1s1eI4jnREou030kUZj8eRz+eb1okZdR6qBtd1pUMEwzC1kclkkMvlCmZ9h9cx3/exd+9edHV1lTxX1/WyDhlR55liZ4nitSNqDSa3Dfp9hxNFqqpWVUzZitm1bW1tK348GCWsJyYmyq695EhUL+RI0Kwk8ezsbFNGIjXaFTo9PY2ZmRm0t7cjkUjANE3EYjFks9mK46xWC9T8R640UVpkcnISa9eubfjcTC6V9YwRKh7fWG5ONiXFfd8viGeGC9FJd1mWJUc+xmIxuY7pui6veykBv1BhcaV8i6qqkWsXJeVpHaRjptdLr7OYhb6Ttf6mqKDGNE3pANQozS5iWkjXR0Gd8Ct9fefEOLMssG0b+/btk4theMGiJB8tsuXEWtSCput65I9bVVV0GgH+9a8H8K8PTuGnu+aQD4B//s0k7t2fw0deWFjRSMmfbDYrLb2LL/ir6RApZzPSKK2aSbJYTE5OlrXQB+ZPPAMDAw0XADQ7SZzJZBoOLti23ZQZoZ7nrWpby0qE14tyCYJmJBZd18XevXvr+rzKdR6SmAxftIQfR8HBZDIp1xiq3AxfMIcFiaIosCwLuq7L+Zie5+G/Hjk8W/x/19gtXk68UeI2qno+vIZHVZBWgsZW0D6qCf4Vz6ksPnfUQrNnrNUbwJydncXo6CgGBgaadiwMcyRQ7JZChUKU4AknV6LOneXcfSpZtJU7N2iaBsMwoKoqstmsHPVAfycSiciLymp0ZSs6e+hYVyrU1VwpYW2aJjZu3LigvWMlHMdpuu1jMwoua+06Lgd1QR2JhAsLy/3GmmEfmE6ncfDgwbqeW0632bYtiwSBeQ1l2zYOZfK47cn578bbT++Hlz+8vh2YA/40nIOmAC8/Zr4ohoofSWuSXqWg5kLfjUrrVywWK/t8x3HKOiGRa1uUc1yl60Pf96WjEb22arQ8aXfP8+QxlbOurYZm2hNHNQlUQytHATDMakUIgcHBQWQyGfk3rU9hdwlg/nceFXMqpxOjipxoO+UgDRneZltbG1zXlS4XiqIUrLNkb10JKgxv9rm/Ea21HHAcB/v27at43ujs7MT69esb0gbpdLqpSWLf9zE3N9dQsWs9NthRUGHBzMxMw9taaQgh5Pqgqqrsig5D7o6N7mdoaAjT09M1P1dRlMj1wXEcmWugeGqxDsrlckilUgXXRKZpysdQ3I9+G9T5TTHOIAhk/LIcC3WLV4plUtK+eBb4Qjq/0uz48Dpby5gbauYB5nWcpml1FRxXa+VeC/VoyiAIsHv3bhx33HFNPZbFhhPjzLIgk8mU/SHSQrFQ5XnUBWK5qiKyntNUBe86vRenb0zgs78ah+MD9x+08Ibv78Y/nL0Gf7W1RyZWwnNmw4EBgpLl5aryGp0LVom5ubkVKzhnZ2crJsWB+Y74RrsyWhHgC4IA2Wy2IbE5Pj7exCNiKKEaNaOrEfL5/IIXRJWotP+FRA0JMkqOu64L27YRi8VkkI4KNCi5QomW8Jr5vUfSAEq7xRcSosC8AKb1Lep3RFWgUTN5aZ56LcmWYqtJ0zQLhGQUxWsyvaZyNsqLSdQFULW0Ys4bw6x2ygUFaAYjUDmp7LpuSfKlkrNGpWKfWCwmnxe+CCZ7w3KWapTIKacrbdtuiaU1jZpZiVbqFBRaKGFdzczDhWhFMWKjBZe1zhNkFiaXy0UWylSrK8vNHp2Zmak7KQ6gom6Luu/aP0zDC4BnDZg4Za2BRCIhZ2b/5x/ni4jO2d6OTX3tBQFccmUCqp97uNA1u+d50h0uKkkd7qwpnq1L/69pmpwZSTMsK1G8n4WKioqd4+iYqFOqVuej5eLsVinQyzBMNK7ryqR4MXSNWW6OLBF1PVdprSx37arrunR+CCesstmsdNWgQp5iLUTuSVHQNX4rCuLm5uZW7Hxx3/dx4MCBijEgTdOwYcOGhhKbZH3ebDKZTEOxShpxyTSHIAgix+s1GqsUQmB4eLju71ClBr5q4miU5BZCwHVdufaEnTU8z4Pv+/K6t5bRMgu584ZH4NBog+LXUKnokgqN6HOgJHqlQpXw2h3ugC9H8b4XSsxXohXxwUYcbJvhTLGUcGKcWRZUsxDQ7LRy9iN04S6EkB2SjuPIikq6PeoHf9qGJL71yo248p5x7Jp0kHEC/N+fjeKi43K47JRu6JoC13Wl9UW404gW4KjOzcWawZfJZNDX11f2fuomppOS67rQdR29vb1LWjHuOA4GBwcXfFyzrApbQSNi03XdI7JqstUUW/kA0WKT7Iyy2aycFeV5HoIgKLAQdV1X/n7qpVFXAMuyStYuSvBQ90w+n5dCmzq5if98OA3v6ae/5ZldBduhNa2aYwBQNpgZtjMvvsgPgqChiyqyBzVNU74PZOFEQrzceksB2FoqsJsdNKzl81dVFb29vejp6UEsFlvRIpNhlgLSfwtRbpwFQZ3e4bWGLnxJV5L9W7k1tHj7pMGAw7PcqJsx/JxwlX14hMxy0ZW5XA6zs7PyPEDr8Nq1a5fUTm1ycnJBvafrelNmLrZCVzZacDk1NcXFVC2AAj5hbRAVACcHo1wuh2w2C9d15RqRSCSQTCZhGAbm5uYa0v/VjG4I8/CIjfsPWlAV4C3P6kE8HpcdYGNZD/cemF9XLjq+o2SmNlk+1lJgWI1uCbs9lZsjTuPVol5vsc6tFZqJSWs5UKgry72GfD5f18zxpdRypmlizZo1aG9vX9FuIAyzVFSjvchlo9z6HHZDI21H8UX6XdL6Q008xdA6QuskjXwIa0ZyPaPiP3JKoiafcPFdte4ZjULOG5WS8rOzs9JJMZ/PQwiBzs5OdHd3L9n6SU4BC53/urq6Gl5baZ54s8lkMhgYGKj7PeQmnuZDeYvwulIuMR7WlfQ7onxDMpmU8+xnZmYa6uxv9Ptbbo463UYd5eRKAVQu8CymmgYT+v1QArxYu1IivlysspHfX3iUZHibtKZX6gyn9XqpC1BqaeRpa2tDX18fTNOEpmkrPl7JiXFmyamlUsi27bIzusIX2MXPCVPuYnZNexxff+VWfOv+YfzXX+YrQm96bBYPHrLw4eevwVFrUnIemuPmoamKtOql7VGQFSidZ9FKcrkcZmZm0NnZGXnf4OBg5By62dlZDAwMoKenp+XHWIzruti/f39VAbx6Oy3DtOpE04jYrCYZydRHsbicmJiAruty5lc6ncbo6GhFp4pmztGMxWIVq8ijoK7vqJk7tLbEYrGCrpZYLCaTqWF7+f/883wANq4pePExhTattQrh8FpLs8woYExd6vUEDYtRVVWu9/Q+lBP8lYKjNGstqnq0HM1OLFBiq9JxxuNxdHd3o7u7m2eKM0wD1LL2VEqOR10gRwURw3ZxYZLJpNQetEbSGqRpmky8h9fU4mOhOeRUXBRlIdwKJiYm0NnZWZLkFkJgYmICo6OjJc9xXRdzc3PYsmWLDNQsJul0usA+vxzNeP8o0NEKGim4XIwA95FIPp8vSKACwODgIDZu3Ci12ujoaNlOHSEEstls06z3aYRNNdeYfiBw9e/nbX1fflwXtvUmCn4DtzyeQSCAZw4ksbUzVtIdT3Nx6XYqjgRK7TTrJbzWkqsG2Xp6nifHBzX626VuSXrf6HMpZqHxN+W6jirR7KDhQu+7pmlIJBLo6+tDKpVa8UFLhllKqv2t+74PIURZt7Ko7RT/liu5E6VSqZJrYXo+xQuoAYYKi8JxAirsAebX3WaMBKkWGg1WvBb5vo+hoaHIYjFqXhgYGFj0oh7qwK0m2diM82Az405hfN9HNputuxlqqV33VivF3xnHcTA8PCznjNPflWJfzYxv+75fc3I2nOQu1mfh2xOJhNRaiqKUdH+HHdLK/Q5qbXAJx0Z1XW9JrBKYj99RlzwVO0Vp1XJjNYH5Nb94NEY11Nr4U832KqGqKtra2rBmzZoluc5vJZwYZ5ac4urwhaCL83orxcnWt3ifNEPt7WcN4Mzt3fjHOwYx5wY4mPHw3tuG8eZnduG1z1yHrO3i728fwYb2GP7vuRsgvMLkJlUmUSJmsTh06BDi8Tji8bgM2M3NzWFsbKxiMmhoaAiu62Lt2rWLctEshEA6ncbw8HDVn3sul2t45mKrPotGxOZiXowcaRSL+CAIcOjQIdnh1qqLj3KQAKs2qJdIJMomcsPCqnjuOM0Wp9sSiQSu+u2Q7BZ/91n9JcHFRn735SrNfd8vmTVUDRRwpU54y7JkAJJeTy0VneHAZS1ivxUdd7FYTJ6zaL4jdcGT8wjDMI1Ta0HiQp3j9aDrurRgpgteSq7R3Eff9xGPx+Xals/nI9c2Ol8tVlIcmD+3HDhwANu2bQMAWaA0Pj5eMUjoeR727t2LTZs2NWTdWOuxjoyMVN3BTefKcFV/rbQyUNhIwSUXVbWGKP3gOA727NmDrq4uzMzMLGqnfngkxELctWcOe6fzSOkq/tfxbQVrSNYNcMfu+d/zXx8zfx3jum7BehgEgQxw0voV3ncymYRlWQV6tZH3IqpoWFEU6fRQq640TbMgYVTcoRkVHC1XeEAjg6oZx9Fqis8F7e3t0unKNE12HGKYJlLL75ySI/WO8gqCIHJdSiaTmJubk3NtyQlT0zRpg06JqvAs3+JjD6/hi3ntOT09DdM00dvbKxNUjuPIWGQ50uk0XNfF5s2bFy12Zts2Dh06VHW8qBnngVbGjTOZTN2J8WYn35h5ovT65OQkstksUqnUoo9ForGJ1VLpuhUodPXJZrNyPSTbbWrmobWL4onhwssw9erKcqMYfd+Xr6HWa2saZRmOyba1zetrGh9ZvCZQwVJx3JRyN2EX0GqPR1XVlv02FUVBe3u71JTknLxadSVnZZglpx4hQQtLVCdlNZimWXJRT39bloWT1yfxr389gM/9ahx/HnPgC+Dq36fxwEEbugbsmXKxZ8rF/pv24QPP7cMzNnQBmF+cKGBY6+JtGAYURSk5CYQ7QGlmULjqKdzBcPDgwbpE1cTEhAwS0v7C/ygQQrZPdDKrlWw2i+HhYRmUqLbTIJvNNjS3gmaZtIp6xSYHMFtDpQvRcvPBlguUIAknxanr0DRNad0bhub0UGCSbH5JfP33X+YrsM2YgnO3mCWPb4XAofm8tQQNKXhJ0P/T+5DNZsuKRXpseA5mcWUmBTqLA7hRtGL+In0ma9euRWdn56oVlgyz1NTTlVnOWq0aqCsnvDZTsJGCfWRjSVDwIbw/SvqEnTjCOrcWHaMoCuLxuAzQhm+njkwaJxIOThSvS0888UTNF91BEGD//v3o6uqSAVr6Rxf9pCupI5Q66Gvdz9TUFMbGxqCqak3nG5rFWS+tDGByweXyo1zyoFUzQatloXnRuXyA7/5pXgO+7sROdJqa/B0GQYBf7JqBlRfY3KnjWQPm4eeF1kMaYUaFi8VrJAXzDMOQ9zW7SIC6cSjgWI3jFh0vBSrD71N4zY5aB8jdg3QbFTNFzR1fquQ4WfS3tbVh7dq10jaZYZjmUu14njC0ZtWrK4vX9VgsJrdjWZbUbGF9RtbBVACkqqrUVeHRkmEtWkt3IsUgyeY8DOlKz/OQz+el9ivWlZlMBmNjYzXrylwuJwvRysUqCXpf6tFDvu9jbGwMk5OTSCQSVRc3uK4rxy3VS6sLLtevX19X7IGax5jmUu7ztm17ySy1q41/0WjD8GhZmp3u+36krXrYPZGu/4BSfU3vSzhp3YriDFojo+a9l4OcOqNmj4eLBCi5H4YeT/FOivWGnZCpsUhRlKrW5mYXNgVBAEVR0N3djTVr1izpaLTFhq+emSWn3otJEh/1VGOGLYeiBGs+n0eXqeEz56/Ff/95Bt/90wwEgIdHbZihX82BmTz+/qcjuOwUG684rh3q02LDMIyCuZQkzmjxoqQNBSZIwBJUmU8ng+LFOvx3s2xAKln8KYpSYN2UTCblXIlqFmTXdTE6Oiotkmj2UbVYloXp6em6Ld9bLS6KxWYQBLJziSxHosR5swKYdJIGFm/+6HJmuXbeOo4jg5jlAnvFv41wEU+lzzaXy0FVVZlsoflh//7gmOwWf/tp3QWPD9thtgJavyrZAlEw1XGcAsthCtwCKHDfMAxDrn9h5w/btuV7R0FOuoAnG1CyVSKRV0lwtqL6Mh6PY9u2bcv2+8kwq4FKNmwLYVkWUqmU7OauBSrEoQ7xYt1R/LuPcgQJFy0Vr0+GYUibubC1MM0op5mU4c7I8JpKwYqoWcHFGrRZurJSB7eiKAWzzFKpFHp7e9He3l5V4G52dlYWWgKIrM6vxPj4ODo6Ouo+By6Grgwnxh3HwezsrDw/lpsV3KyCS7pGaeT3tJpY6rl/5SBNWU5n/fdfZjBt+VjfHsPLjpl3cKDfihcI3PjIvMX6K48r/d2RAxFZXlZKSPu+D8uy5O+pVR0sUY5vxVARqeM4BTPMPc+TMYPwGkfvW/G2yVaU1nWCYgdkxwlUdnkiWlFwuWHDBjkiimGY1lBvbCXsTlPrNsKjc2i9Ca8hdH0dTraUS0RFOW3oug7DMGQSmWbghsex0UizYscNej5pOLovTLGubAau62JsbCzyPoqBkH6n171+/fqqkjtCCFloSXFbSvJXy9DQEDZv3lx34XsrdQadr8KFYNlsFvl8HoqiSPe6KJoVr6TijGaNYFnJLId50lFQsXQQBJFrCgA5piGM53kLjpgKz+CmLvFK9uKkr5LJpMypNBtq+FtojU4mk3Kdo+vWZDJZ8Hrp+ovijkBh8SrthwqLqOCU1nFae2kOezXX4s1usvE8D0cddVRL48PLFU6MM0tOI4k8So7XKjjz+TxSqZSs5qRAJgkgmr9jWRb+14ldOHVjBz5x1yGk7QB2KEfdZapI2wGu+cM0/jBs4X1n9qI3GSuwaqOFkRZRsj+qlMyvRUi2qhOaTlrUXRkOFuTzeYyNjSGdTmNgYKBsV0sQBJiYmMD4+Lg8KUR1G1TD8PAw4vE4UqlUzc9ttb2h53nI5XJIpVJwHAeDg4MlgqGzsxMDAwMlQcuFuj2ioE4wsmalBGQ4cHMks1xnIYW/h9UGr2tJokZZa9746HyHfCKm4PyjCm1tw3NtW0E+n5fV6+WIEsTUpUNjM2geJCXQSUTati3XftM0pV092RNTckpV1YJ5keGLwHIXJc0IYOq6jkQigUQigWQyiUQiwUlxhmkx1ThCVMJ1XQgh6koOhy3owhf+VJQT1qpUyBNOslCFPQWhwvqOZpfRP+BwkIFGTJQ7XtK61dIqNws6H1ChUvhzEkLgwIEDaG9vx/r168vqGdu2MTIyUmDnXk/QOQgCHDhwANu3b68rmdxqXUkFlwAixw+pqor+/n709vZGOq3USni+n+M48nzZSFf9aqFZhSKtILwWFB/n2JyHm57WgG9+Zjd0bf67QZ/tvftzmMj56DJVnLMt+jouPC6nmuvNVutv0nuVfvNRnTyO48iApKqqcj0kRyZKAOXzecRiMdlRTuPXaOZ5OPkdXr8sy5IF8a26LifdGtaVfN3HMK2nGdfKpmmWtfSt9Jxw0VGxxXDYQYOujykpHI/HZTySrsfDr4PWdrIEBubPJ5Qgp+2WO/eVG6VWjlpn51YDdanTWM6wdTO9b7t27cLatWvR09NTVh/Nzc1heHi4IJkVPk9Uy+zsLMbGxrB27dqaX0txrLUVzMzMyCTj6OhoiVV3MpnEwMBAiftIo7qSRuBRzCVc0HGkslzjQVR8DUCOZii+ptY0reC3XGuTYngdquZ5rW76omv1cq6U5ZL3tC7T9zk809z3/YLEN72XFNukkUU0J55ilbTmVFtU1ej1erGuTKVSR6yu5MQ4s6TUKqqioNk5xQEBSkBT8I0qcWjxy2azsrqQBCU9j6rq6PlHd6v49v86Cp/+xUE8ePDw4pS2A5yzNYnfDlr447CN99w2jPee0YszNiVl10+YsM1cs2i2yAQK5xGpqirtUsL7JMG4b98+dHZ2Yt26dbIiUwiBmZkZjI6OlliH1hs0oaDptm3baraLI0uSVlTrE0NDQ4jH45idnY3cz8zMDFzXxZYtW2TQe3p6uupjogQhBZWjEnpsdbR8KzCLoSBa8edVfFHUyO/7uj9My27xdzy7u/KDW0SlICZd8NNFE63VtF4HQSADlFS4RLN66YKKkkhh63jqCqL3kgKiYeg8UMlavZrOpGLi8Tj6+/uRSqXY0pZhloBGL6ApKEiFNmHNRutIeJ2idSec8A532dL6RGsaQV1A4WOmBC11jnueJ89pZBdZfH5rhY1vK7RS+DjJ5Sb8WmhNn52dxdzcnEz6UvAobG9JkD6t9/U7joMDBw5gy5YtNQep2tvbq55pXg+e52Hfvn2yqKKYIAgwMjKCfD6PdevWyeDI1NRUVdsPd4JR4DxKbyzWTHumcYo/v+semkY+AE5cG8cZGw8X7cTjcWSzWdz02HzS/KU722FoK2e0C3VORiVaaN0kJw0qmiTCCaLwf8OFReF1mAqYigOUVAwd3j/ZcpYrpKh3Xe3q6kJvb68s+GQYZnFpVGNR7Ibc0EjvhJ3bwh2R1HFIBYDt7e0FiRda58Izgamgk5LExcdMhZjhtZOcNIrRNK3p8aTiZFozUBRFrrXUjRyGXufw8DCmp6exYcOGggJWx3EwMjKC2dnZgudQsr0exsfHYRgGurtri7vQWIxWjvxLp9MyERf1+nK5HPbu3YstW7bI6x3P8wren0qQrgRQVle24nuwElkJscogCCKvMYuTsTRre7k2Ji0E6cKowkaKO1JckeziqUiSCgko5kf6j/SaZVnymp5+D6RPwy6XVJRUvIZRjst13chiknoS44qioLe3F52dnawrQ3DUlllSmhHMowvN4otWsgEKE7ZLC8+zpdspsUuzI6hDkRa5z1y4Cf/5x3Fc+/spUHjznn05nH9UG/ZM5fHUlINP/XIcLzu2C39zSgAzVrjQtKoLp1yFUyPbo/ckLK7D84nCF/0zMzOy255mhoRFD4nMRosCfN+X84U6OzuRTCarek9VVUV7e3tLxWa4wyZM+GRmWZYUnKqqYnx8vOz2KHBM3TvVWFK1MvG/UlhJJ/eoQoZi0RNO+NbKDx873C1+3o72BR7dOkgYhtepcgUMdMFK6wi5I1ClZbn54iQyw8nwMOQMEn6/aZ0TQsi1LWwHR6MuqqWrqwsbNmzg2eEMs4Q0Q1dSEaNlWQVrVZRdJK3NtIbQWkRQF27YtQIoXOPoXE/70zQN2WxWBjkpub5YgZRWdHIUW4CSDShV04fPcUIIjI6OYnZ2VupKz/MK1mMqtGz0885ms9i9eze6urrQ0dFRdeElWb63UndFjTei94wcBCYnJ+H7PtatW4dcLld2JBJw2B6dgvTVWPQd6cWWQOtswZsNFQ8GQYDHxx38cl8OCoC3Pqu0U+6RUQdPTbmIawpesnPp9GE90NpRrPejArikPakDJrzu0npS/JxwMWX4vvD/U0KpeO4luaJRFw79horXr2rZsmUL2ttX1ufDMKuJSm481ULnUXL3o2JwVVUjNUzYDYg0ZfgYSFPSrF4A0nGI3CqpG5GKPcmJjTQE/R1FK855rYjPhI+f9DG5NRW7c9q2jX379kHXdfmehR1AyL0pl8s1nLg9dOgQ5ubm0NnZiba2tqpfe0dHR0tjlb7vRxZ0UtKP3Fb27duHzZs3I5VKYXx8vOK5qzh+stBvpRVNYiuNVrgntIpqkrHkqrOSKXYMBiC7uKMaHckNgdxbw+sIUBqHpFFt5IIZvj28XaDUOZjOAcXXcPUQi8Wwffv2I7YrvBKcGGeWlGYEMMMLQ7FVJXC4GjMIgoI5tfRcWmhILNI2KFhXsNALgUue2Y+TBlK44s5DSFvzQuHnu+ewtSuG83e04c6n5nDr42n8cWgO/99z+nBU7+EZDVSd2eyKqmYnxqMSO5W6kijxVU44hTvQGyUIAkxNTWFqagqxWAwdHR3o7+9fsDuz1YnxKMK28VRQ4DgOnnzyyZLHlrNHrxYWmiuPKLFJn3mjFcvX/mEK/tPx+sv/amm6xQkSjLROVerqD1+kkkVacXKqmIVmgIUvgilASjPWaS0Ob5ss5BRFqenCpb+/n5PiDLPENLt72nEcuf7Q75suTqkzJ2wLSMkpSpqStSNdQJP+JGtBKvCjIqiwxTitm0D5oCLtv5lBllYEbKL0IXVIRe2PApTlKO7AbwSaWzk2NoZ4PI7u7u4Si/JiVFVFW1tb1Z00zSJKT6fT6chgZ7GNZa3XHgt9BszygjSWEAJX/37eOeBFOzuxvWd+zUkkEtLdgrrFz9uRQqe5sgKa4fWOrk0rfVfDnZbkCmcYxoLXWJW++1Q4Sd1EVGhJWrK4gJxmtS80Si2MaZqcFGeYJSZ8XVovQggZ/3NdV9qchzUMJRjDXeFkx0u2u3TtSh2JYU1Kox5yuRx0XZfXzgAKOhFpHYpyRSIqzf1dLkS5ui103JXub2asEphvGpqZmZHNOX19fQXd6lEs1XpP86HD1y779++P/N6Xs0evlpVSaNhKVlIjU6WEd3gO9nJfLxaCdKXjOPJ3UM45g4ofSYemUilks9mKuRLqLC/+vYS/C2EnEWrmCa9ZxcX1VHxZi8Nlb28vJ8XLwIlxZknp7OwsmW9SK0EQFHQChq116QKYkt00S4y6yWkGLIkAWnDIEoQsjGhxpOrKZ6xL4VsXb8U7bjqAidz8hfW+tIdDmTm8+Og2/M8hG4cyHv7+9hFcekoXLjquA5qqSBFBoqLRWZhEK7tk6WKe7FSAw1VVZE2/kBAN2zc1E8/zMDU1hdnZWWzcuLFiB/lSiJCw+Cs+YcViMZmwq2SPXi3NfH1k2w60fq5LLYSLB2gWUz6fl+8t/aaWC/Q7931fzq0FDjtWkBsF3U8BNnodjSQnbn5sPlif1BW8YPvSBdbCAUzbttHW1lYwG7aY8PeYggZR9sFE2FmB1hi62M9aDlKJuByjQesQHQ8JzuIgZbgynz6rqE5RhmGWH11dXZiYmGhoG8Xdy7ZtIx6PSztzGsUTLrKkNYg0KdlV0rrjOE7B+kMBS7JmC4+VUBRF6q1woiUKup+214yu8nAhU7MIH384OBhet0lnAwsn51ule8lac25uDgMDAwWFVcW0eh5krZA+WsgevdptNVP/0bVWuEh5ORDuJqbfYrj7oxWjChqB3sdiTRJec361P4cnJlyYMQVvfvYamKZW0PU4OJPHg4csKABecWzHEr2S+inWlQt9RsWzwGltjUpQU5JbVdWSa14qLCAbTbKEpbWIOtmjfnPh3yJdG1AneTm40JJhlp54PB45+qxWwgkmSr7E43GpHanbm24LF0/SeZ0chizLkpoxvPbReDBar1zXlc5DtH5RMXnYObMYSsDTNXIzkpnNTogWu7pRpzidI4H510HrMxXFl4Peq2bHkYIgwMzMDDKZDNavX4/u7u5lFasEILtQozQtNSkA5e3Rq6XZeorO0QudSxcbip0DKIlVAs1vaGsESrBSAU6xMxetJWEnXsoJNMO1a7lAn0cQBDJ/VGnND/9Ws9ksDMOouMbRtWSxGxE1YlI+gPZJ1yNRTZ+0/+IRwhSvqATryvLUFFX4+Mc/Lk/K9G/dunUF9x977LFIpVLo7u7GC1/4QjzwwAMVt5nP53HllVdix44dME0TJ598Mm6//faSx33jG9+Qs4Wf9axn4de//nUth86scsIBMhKNlHyhk3cul0Mul5NBR3oezZMI26EVL2xktUuJOcdx0KYruPIFawoelw+An+yaw/oOHX+1KQVfAN/+YxofvWsU49nDJ8DwPMri2bfLiXg8LpNEVIVK4iOc9KvmpEgdVq0gn89j7969eOyxx7B3716MjIwgk8nIz97zPMzMzLRk35WgzrF4PC4LMyhwSXPsc7lcww4CNLckjGEYSCQScr/JZBKmaS5YrQpAVixTF0ar0XW94DjpXyKRkBeJFPSj76FlWXAcR/6ew3OqlwP0mdDnSwHLsLikixASQZSAbfSi7JrfHe4Wf9fpPY2+lIag8RRErQFx6uwh4vE4EolEwQxI+j7Qe2oYBqbtAG/70UHc8WS6oDKeOvGTyaRMciUSibLVkyRKXddFKpValN/DkQTrSqbZNOMcEJ7/DRS6V9D5mhJ81E1E1ro0Xy/cRU5d4GGtats2UqmUfGw+n5daCzisWQlK1pSDjkXXdXkMjdBsvUbBFgrc0r/wazQMQ7rmLBQ0oqDwQm5B9TI3N4cnn3wSTzzxBPbv34+xsTHMzc3JDq6l6pCgYjHTNKVOovMs2aPncrmGgm5hm+nwbbTPsKakc3I128zlcrBte1FG3hQfa1hT0nFrmiY1BB0bFTFS4ctyCfpRAp8+X9KN9P5TwHrOcnD1A2MAgFef0IGehCZfF3Hz093ip29MYEOHXrqzZU74eqee4pSwxqZAZSqVkt9713UxNzcnvxe6rsvCIyoIp99cPB6X3ZqJREIWU1a6tqdrA9/35XUh0xxYUzLNhorxG6X43BePx2XCjM4ztm3LrnIquglrzrATYdR4BnJlC3cSZrNZmXBxHKdgVGKl10XxPd/35drWCM1OBNLx0JpLsQA6R9J7U0vRaCuTRkIIDA0N4dFHH8WePXswPDyMmZkZqTmEEEsSqwTm9T7FQ4p1JdmjUzFGvUTpqShdmUgkqp57HHZIWAyK46rhYyZ9SQVz9J4VxyoNw1g2xaHkUkHXnuRARq+FimxoTjaAgtj/aun+p0JFwrKsmtc7TdMKxlrQdyNc7E1rUy6Xk7kBTdMK3OWSyaSMVVLsgfJQlXQlfYb0uJU0WnS5UHM04YQTTsCdd94p/w4HTnbu3Imvfe1r2L59OyzLwpe//GVccMEF2L17N9asWRO1OXz0ox/F9ddfj6uvvhrHHnss7rjjDlx00UW47777cOqppwIAbrjhBrzvfe/DN77xDTznOc/Bv/3bv+HFL34xHn30UWzevLnWl8AsI6Ks/6qFFnMSeyR8aHYhCUIiLJxI5IWrnxZKUIdFKlVz7lzXgXO3z+HuPbOIawqcp7NRj4xYSOrAhUe14Z59WTwy6uA9tw3j/zx3Hc7Z0SE7ZFzXXTZBlzD0GqMStp7nyfeqloAEiYDwHJtmEwQBstlswYzF5VCV12zr/DDU1UNd3uGZ5OVYyHbVtm1Z+dbqjiiyqG3k+yCEWFazespZOkZV2dI5tJlVtLc8cbhb/OytbU3ZZr0Uv15aP6Iujor/0e3A4UID+i1R0U4xrusi7wv8452jGJnN47/+NIkzBwwYMTVyRpDnebIif6FuAEqGUFFQ+DWQqwhTO6wrmWbRSGCJdE+4qzs8eoESsJRMA+bPX5RI0TRN3kdrSXHBTViTGoYhtUo4mU2dQslksqC7tjiQEovFZIc1rZONzB0rptnnfipuizrP0dpMr70awucW6lxoRZDG8zzMzs4WWKYXzxVebOg6p1VQ11Rxd3K5YF41tnxhp4RWuq+QDm408BguWlwOlHPOKf693/zYLMayHtYkNbzulDUlz0nbPn6xZ75w/JXHr+xucYLW5/BvYiFNSQlxClRWSn5FrVmmaUZed9A2KZBZ6XtIcQBKZoWd6wC0rOhntcOakmkmjTi4hV3NqHDbsiz5X4pdhqFrZCr+o0QbuZ+FiXIjpPXKNE1ZAE5d6eGu8ajzG+nYcId68XzzeqGYbbMIr+GVtEktRQ3FXZytSGCSDs7lctI1lZJqSxWvpH23av8U96aCw/BM8nLvcTVxMYrrt7oLllwXGvkdLLdYJdmEF68h5WKVruvK2PBqSYgTUbqy0ncqSl9Sk2XYWp6u46OIulYPx4/peGj7lmVVpQlpfSHXIyp4IDhWWR5F1HC2+PjHP46bb74ZDz30UFWPz2Qy6OzsxJ133onzzjsv8jEDAwP4yEc+gne9613ytle+8pVoa2vD9ddfDwA4/fTT8cxnPhPf/OY35WOOO+44vPKVr8RnP/vZsvsvnqeWyWSwadMmzMzMoKNj5V0Mrjby+Tx2795d8+JKwUP6bIsT3MDhACdZB4XtQaiKsvhkG0600yzw8KJYLug2OJPHO388BAHgpHUmHh4pPME/e4OJKSvAU1PzAvSF21N427N7kNSbV8nTzKQaBQfKLQ0krOkkUG8QtpWic7lQy8yPeqHkXi37WShYAxz+TrUqAByey7favgO1zHul4Fqz3uOrfzeFHz0+H8D/0HP78LytqaZstx4qWZI1Olqh0pr3bw9O4cdPzCKlK/jyS9ZjU5cpZ4ZTUQ51JYaJxWIy8FAu4BneZ9gOs62tDRs3bqz79axESOM1oqlWkq5kTbn8mZ6exqFDh2p+XvjiUVEUmXQO25RTJTZwOMBHRTWkmYrPZXQfJdlSqZQ8VxfboFWCdC9Zri+GhXczz/0L2VOGu5tyuVzd54Zm2J0udxbD2rue97HaIGY11tf1QMVpmqa1tBh1Kaj285jKeXjbLUOwPYGPvGAAZw6UdlH9x5/S+P4jMzi618CXLly34mwVW2F1S1RzbRQ+DtKxVKAf9b2mgHq5pFDx9QIlyIH5WZA9PUvr+rSYHGmaEmBdudwRQmBwcBCZTKam54WbcYDD60XY8pl0J9l/A4eLG1OpVEHhDEFdhOR2SR2GRLXFkTTOj/TpYiS7yjXc1MtC54JUKoV8Pi/dnuqh+HNcrTT7symGHK9q0ZVUnFHpexm+TmnVa6DRrOGmq9VAPTq81d+TpaBSUQp1a1fKiyy07VrW1fBaHh55EV6/qLikXCFL8fUCrWHkKLdt27YjquiyFl1Zc2Zu165dGBgYwLZt2/C6170Oe/bsiXyc67q46qqr0NnZiZNPPrns9hzHKamWSyQSuPfee+V2fv/73+OCCy4oeMwFF1yA++67r+Kxfvazn0VnZ6f8t2nTpmpeIrNIHDx4sGYRRj/28KJcnOSOx+PyQpOqZsj+JVzFUwzZsZDlCYlVCnaWO9ZNnTqev3V+IUvGFLzj2T3QQnGGBw/ZSFseztmahALgzj1ZvPe2YTw+3rwTSzPto8MX5cWQICcbP5o/RO95LbYdixXcXUoWw9onqtpvIahgJEy4owKAnPdJ91VL2Gao2Ao9bAVLF3U0r281UUtFqO/7TbW7ufXpbvGUrixpUjxs9xZFo2tWuff47r1z+PHT78HfP6cPA+26rHYnq1Qqfir+DVC1Z7XVlGSH6Xke0ul0Qw4oRzIrRVeyplze5PN5DA0N1fw8Cg6EE9Y02xGArJCnC8uwVqRim3IdK+GxH+FEeHjebzVQ8Lx4Tl0raWaQtFIXChWH0XtLNoqkG2phtWvKxaKe4oIoi3QqgCzWl7VAXQ/FutIwjILrDiGELNYNzxhdDVSrSb77pzRsT+C4fhMv2FEaAHK8ALc9Oa+PLj6+Y8W9R9Qd2Cpq0eKkKS3Lkr+XqHMAWXKWs0svXhvJStlxHIyOjq76Qp9WsFI0JcC6crkzPT1dc1IcKOzcBg538YWT4tQRHu4gdhxHNgxEjUSh69lwsw79tzg+Wgka20ZjNhajA7SZ5xtd1yueC5LJpExk0oijYs1QDUeKpmz157/QvOYogiBY8BqAYvtAbd8vwzAirdDLxSuz2eyqG6VXaxyO1qrVBBXCl7tGpVxFva+b1vhqofMA5VnI6SNMuCgq6jtffL1AozoorjE8PLzqPsdmUVM0/vTTT8d3vvMd3HHHHbj66qsxMjKCs846S9qAAMCtt96KtrY2mKaJL3/5y/j5z3+Ovr6+stt80YtehC996UvYtWsXgiDAz3/+c/zoRz/6/9l77zBJzupq/FTo3D2xZ2dmd2fDrLK0CkgCaXcloQAICSOCMcifAQecSCYIEfzZGD4ThMkGjG2wjfnZgG1AgCQLxEpIq5zzaqVNM7uzk0NPh+qurvD7o/fWvF1T1V3VXZ1m6zyPHu3O9lRXV1fd97z33nMuJicnAQBzc3NQVRWDg4Nlvzc4OIipqamK5/vxj38cqVTK+O/IkSNuPq6PBqOWh5I6stmFUlVVY8ZaLBYzNpTmDks7e+NK50fzQcjW0g5v294DDsCDRyWcPhDCl187jOHESjfOvKThN4dz2Lk5gmRUwFRGwY2/msIPnl6CqtUfnLwMcDT3kmZf0JwZUt4T6WbnJ1PCluyXzAgGgwiFQsbcIyIgaz0wt/N8DypI0/Nk7oYjFQSNDXAKWoApYcTOy7JStlOXstsEeKtA1mR2cLvxKxaLnn32f3xk3pgt/v6L+j05Zi1wo5ivFVbfwaFFGd94cAEA8Lbt3Xj5xsrjMazuaxrDwYLWl2oJh4mJiTXfVe41OolX+pyy/VELp8jlcojH42UxhZ55mvVFhVsWNKPYjeMJzWXL5/PGvLl2RCMKZsQnaTY18Q9qViLOwfJK4vxmUMMd8UrilJ3CI+pBuyZqyZGLvg9yTKKkEuuo4Nauk00Wscl8u0YRsqptZw7Owov5rQcWZPz6QKkQ8Mfn91k+w3cdymK5oGFdTMCOkcr8qN3QDKcEp+vHoqTi/3tyCVPpcp5rlyug+MaC4mC1Gb9jY2Nrzra0kegkTgn4vLLdUet6S/PACfl8HqIoGvNfSdlt3lfSv7l55guFglFEt2vAaQd4uR4Xi8UyTkm5ShpLRGsF8QR2brv5uyFQTGY5ZTQa7bgGslrQ6pGTdqBxA/SdWH0XZDHtZi9GjSssr6SGE7t8pSRJVceutgtEUawaC2opjLfr/qNWhMPhhivg682HWs07t3teK1m3E1KpFGZnZ+s6p7UKVyvUa1/7Wrz5zW/G9u3bcdVVV+HWW28FAHzve98zXnP55ZfjySefxP3334+rr74av/M7v4OZmRnbY37ta1/DySefjNNOOw3BYBDvfe978Qd/8Aeruh3MgdCqg8KMUCiErq6usv98tA9qsXEQBMHoogmFQobdZaFQgCRJyGazlokxURQhy3LDkiSsavwHzyxhW18QX3vtMC7dXL6A3jsmISJyeNn6MDQd+I+nU/j4HdOYztRHSLxcqKgzDlhROxWLRaNBoBLIgp5AHXnUxUqKICIga33ORTuTaVJr0/PkFWp5xsjeup03dAAM63+aB2hF0nVdd02cvXoWbn2xNDcyFuCwc3Pz1OJsZy3bYdtImGezZWQNn717FgVVx8uGw7h+e3fVY+Tzecv1wrxZIHVntUSFrusYGxvzFT4u0Em80ueU7Y1arcGi0SgymQwURUE0GkUoFDIKtJXWR7tGQKdo58ZAr23WKDHJOncQ/6iGXC5XptSg9ZWSyiynNL92LaKdi2T03VbbL7hJFNF4A7cg5V277zNIBU1FVSseXI0j6rqO7zy2AB3ApZujOKV/dQJT03X89PmS8vG607og8O27PwHK59Y3y8pWURTbmF5Uddw7lsWn7prBO358FD98NoXP3DOLgrJ6PqcZPM+XqRsDgYDxrFRDoVDA0aNH23q9aCd0EqcEfF7Z7qiVC4miiEKhAJ7njWItx3GGEtwunpMbY604keIEzZZmc5XENavB7NYXjUbLnItYTmlVmFpLaNcGXQL7ndjd326f01pzVDQ3ut1BtRFqQPaCB+dyuba/V6qBvU8a7UDEvk890HV9lWMNsNrhl5pHncS/mZkZpFKpus5rLaKuKB+LxbB9+3a89NJLZT876aSTcNFFF+G73/0uRFHEd7/7XdtjDAwM4Oabb0Y2m8XY2BheeOEFxONxbN26FQCQTCYhCMKqjsuZmZlVnZk+Ogu1JK9YGw/qljEXoqwWRwoStS4MgUCgajLKUI0fkXBgQUY0yOMju5J47yv6EDzurc4BOLKs4KnJPC7dHEVE5PD8bAHvu/UY7jqUqencgMYUoWot6tL8QPpOKiUz2rlw7AXWwgbF7Weo9TslN4JmJbVJEegUNKOaQCQdwKpkZi12UbquG3OMamkQ+NZD8yDzib+4uLlqcYqr5D7QaLU4oVAolGat6Tq+dN8cJjMKBmMCPrIr6Tjpa7Ve1DPz3lf41AefV/qoFRzH1bR+sGtcsVgEz/NlG1E7V496N9SRSKRtVRqNSAKaZ2G6AfF8cu6oFKPXAu+qhGatr+2EWosT1BDdLCcBs6NZNZidzFgr3Wg0usrFwg4PHpXwzHQBQYHD75/XW/Zv1KD82GQBE2kFsQCHV50Ud/Gpmg9qZqdzb9ZMy2KxCFEUDa6v6zr2zRXwDw/P4+0/PorP75nDIxMSKMJk5dV7b5oJycL83bmNr+l0uqry2Ic1fE7pox7UmpMgjkKuKTTHllBpHa9nvTqRZscC1mpKJyCBA+Urc7mc7XdC45XWKtq9ebARqOf7pOJ4s3LYbt6LuKPZ3ZUs59l4ZicOcYJgMNhxTci0545Go4jFYk1zePSimaIRHPjo0aNNaQzoJNSV+SgUCti7dy+Gh4dtX8NaL1dCOBzGhg0boCgKfvzjH+O6664DUHrwzj//fNxxxx1lr7/jjjuwY8eOek7fR4vR29vralEhVSIVtDiOM2bksDPo7GA3i6ESqODlpANxpDuASzavqMaBUqL26pMT+NLVQ9jYJRqbaVUH7hnLYVNPACf1BZEr6vjSffP4u3tnLTfa1dCIIkw+n6+pM0zXdcOG5kRWTlJncKej2QU+SZKMmfWNBMdxxntZdeIBKxtijuMgCILl/UyzwdjOzFpU48CKMtltg4Cqqrh9f6mxJh7ksGNT89TiZENEFvpkb9aMDQOpMf7r2RQemZAQFDh8/NIBJELON3lWRRRzo5XbQoSv8KkdPq/0UQ/6+901BYXDYaNgGw6HDU5JIxWIV1rFs1qSZZS0EAShovqh1WhU/K61qEt26+xcTTs0q4jWCnRaIsoObj9HPYnbYrFoWPI3kpeQlacsy4atq9VriG8Gg0Hbe1VRFMMal9yJaPyCGUVVx788vggAeMPpCayLlwoj9HpZlpHL5fCT50rqkNecnEA00N7qN0rW0rkHAgFbnu41ZFlGRhPx4+fTeM+tU/jw7VO49cUMMrKG/qiAk/pK5xYL8vjsVYMIiauvpfl7Imt/Qi338/z8PBYXF13/3okOn1P6qAehUAjxuLtGIhqNYXYgEgTB4JR2s65raZak0Yc8z59w47zs1JROQAXDates3d0M68VaECnRqAKnqLfBNJfLlfG5RoGaJymeWIHGegErbjRWYN1aKQa55SL5fB48z0OW5Y6ylicuDJS+u2w265mS3gko/tfKZa32veafuc3Xk8vlidhsbQdXbWU33HADfuu3fgubNm3CzMwM/vZv/xbLy8t45zvfiWw2i8985jN4/etfj+HhYczPz+Nb3/oWjh49ire85S3GMd7xjndgw4YN+NznPgcAeOihhzAxMYFzzz0XExMT+Ju/+RtomoYbb7zR+J0PfehDePvb344LLrgAF198Mf7pn/4J4+Pj+LM/+zOPLoOPVkAURXR3d2Npaanqa2kOoaIoZXM/wuEweJ5HJuNMbe2mq7AW67a3be/GnrEcHjwi4eCCjNHjG+itvUF85bXD+NbDC7jrUMmmnOeAfXMyoiKwYySCB49KuPtwDntnC/jwziTOXOc8cDYquVrLrOBgMAhVVSHLMsLhMDRNsy2QrwUyZge3M+3bFbIsg+M4x/eYF4V0SlCQzY3X9zc7q5DeizY+NKOLSJ8gCFBV1VFXHdl41RI77GYZUZOJHXiexz89ljLU4h/aYT8nrxGwImZE4iORSN3fH6sC1XXdGAFAa8L9h5bwH0+VEr7v37EOpw+VEhhO45ZVDKJEbLFYNO4Ht8WWdDrt6fz4tQqfVzYeTuw81wq6urqM2caVwPO8EafZ9YDiltOY76YwTtyoE3hBo2wjaX102zRI3xE1K1QqkFcqOPpoD7htKPHifqTEVDAY9FwlwXEcOI4zPhcdPxKJoFgsIhAIGJaviqLYNlpagZ4V4lNm3LIvjcm0gt6wgN8+s3yEDHGv/fMFPDOdh8ABv3POAHheq/gdUKK1FbEqGAyuel+6VjQ3vt6m42AwCFEUoes6VFWFoigoKBoemsjjjpeW8cSkZHDqkMBh55Y4Lt8SwZKk4kv3l2ZVf3hHP4YS1g28jWreWVhYQG9vb/UXnsDwOaUPr9HX1+coz0j7PRr1RXFMFEXDTc3rIoTdutCOaJTqutZ4Slw0GAwazapWaFdnJy9gHvPRyQgGg46/K3JprOeepOc5EolAlmXPhUQsV6W9I8US2rvqum4IBCvdwyzYPJ3b3ICu62U5vVwuh1AoZIjiKiESiUDTtJbsz6xy8vT3antKp6CaFFC6xjQilHLJHMehWCwazTxuGpms6jHU8EvHqKXIrygKUqkUksnm5o7bFa4K40ePHsX111+Pubk5DAwM4KKLLsKDDz6IzZs3I5/P44UXXsD3vvc9zM3Nob+/HxdeeCH27NmDM8880zjG+Ph42QY3n8/j//7f/4uDBw8iHo/jmmuuwfe//3309PQYr3nrW9+K+fl5fPrTn8bk5CTOOuss3Hbbbdi8eXP9V6BNoKqq0Q3c29uLvr6+NW+Hw86yrgZ66CmgEGRZdrWoOVkAOI5DMBisaeO9qSeISzZHcc9YDj94Zgl/edk6498iAR4f2tGPs4fC+PbDCyioOgQOyCnA/UcknDMUwmRawUxWxcfvmMZbzuzG9Wd3Q6xiCUyFu0aAEklujs9xnPF6uobhcNiwKBUEwSiWt6taygusFdslp0VxjuM875ykeaFekvZQKGRJRIiomYva7L3vhESzJKVesGTHbOWu6zoEQcDy8jJueWEJAJAI8nj5xuZ1b1b6rKQgr7dAbkccFUXBVLqIL943Bx3A1SfH8crN4YrdslawOyeWp9TaUVqPTdWJAp9XNg75fB7T09OQZRkDAwPo7u5e8wXyarONCRSfqFhFcBs/nK7zlLBZK7ygmRBF0fhOyKEFgNHAJooiRFE0eMJanQXpNOnVCXD6HQUCAQQCAc8S09Tw4iVPA+wbYen7onmP7HnQz6vtrwRBKLu/WaTyKn543KHs7ed22yrBf7q3NFv80i0xxAUFmla6tuY8AyWLKdnZClRao9gCeT3PA8UUXdexd7aAXx/M4t6xLHLFFT54xkAIV22LYdemGPq6otg3tYy//c0sAOCtZ3VV5NpWCWI2iamqak0Nl/l8/oRqdKsFPqdsHHRdRyaTwczMDEKhEAYGBta8mhaoPBKQBT33giCU5RCtmn0qwele2et1rNFoVM6PbKLdrAfstWPXFWBlHaSiMc0jX4v8vRYhR7vCzX6MHH68gCRJ4DjO83vE6lgkEKRCKRVL2dc6yduGQiHPnF2Jx5CrrxU/ITe2VijMqzV5elUgZ/enBGqSAlZqIpQLcHOvCIJg2VQlSZJxL9T6Xa4Fd1uvwOlruTJlwvLyMrq7u5FKpdDV1dXq0wFQCmTz8/OYm5tbVYDp6+tDf39/wy2FW4WlpSUcPXq0rmO43Vg6IU61bFZZjC/JeM8tk9ABfP2aYUM1zmJsScZNe+YwniqClg8dQG+Ex5aeIJ6YLAWpU/qDuGFXEuttutKB0gLfSMtyN8Tb6bUjFehaIWNrGVZdapFIxLCRFUXRsDhtFERR9LRj18l9SglZVVWNTS59XlL/UIckxW633ZBEEGt5DihZ/PUHZvHL/aUGo09ePoALNzSHdFLSyCmxI4WmVw4AOi/iA784ggOLMk7pD+KmVw8hIHBGbDETfjvCWyl+kmLfbVKDMDg4iIGBAde/1yloR07VTLTr58/n85iZmcHy8nLZz4PBIJLJJHp6etZs8XBsbAzpdLrm329E8otidSdttxqdcHXDW52eC9kaOnWQ6jR0kjKsGqy+UxqRRYW/am459aDefZ4ZoihWTXQRPxQEwVDdUEKKitSkOi8UCka8iMfjyOVylsf+9iMLuGVfGqO9AXzltcMQBd6w7iXePpNV8K6bJ6Dp9ntSAvu91OIYVi/c3uO1FsiXFRG3Pj+HOw9lMZleucfWxQRcORrHNWcm0Suu/LwIAe/7xREcTRVxzlAYn75iHQSes7yPq103URSNZsta7sGTTz55zRYj25VTNRPteg2oIG6+37u7uzEwMNC0UQfNhqIo2LdvX138zS2fchIHO60oDjR2TXGbC3V6LuFw2PGohU7EWuKV5nuAmmaBlYa7Rii7CV4/k06OR3lEciIix1ay7eZ5HrquGw6ItZwrNRLU+tlYl7BWxK1ammZq2X9YuaFV4tTRaHRVrtLOFanSdaP9TCQSMUZbuj3vk046ydXvdBLccKq1LUluY2iahoWFBczOzloGaE3TMDc3h/n5efT29iKZTK455VlPTw9UVcXk5GTNx9A0zZXdcrUgFwgE6iY/m3qC2LU5ij0WqnHC5p4gvvzaIXz7kQX8+kCpqBUUOCxKGhalPC5YH8be2QJenJfx/lsn8acX9uGq0ZhlF1ajE9xmq1E7kE2UE1BXVS2Wmp2ARqr4mw3qUqNCsZlgNWOOvBt7JCegz1PpfmWVytFo1CAa1K3JgiWgTtVI7GvckjZ65hVFwR3Hi+JdIb5pRXHAfZdxPQpyc7FK13V848E5HFiU0R3i8enXbEJ3fOXeJFtTFmRpxJ6zKIrged74P6nwzRuJtWyj5mPtoFAoYGZmBqlUyvLfZVnGsWPHMDMzg2Qyib6+vjVXIN+0aRPGxsZqLo5qmraqu7sSnDZZddoMr0YX8cl+0MvkLykS1irWokqULYY387srFAqeNhXTLPBKMcOckGXV2lYWu9SESZyGzpeu15FUEbe9WGoCetf5fRAF3nA7I5W5oij4+QvL0HTg7KFwxaK4mdO1gve4fU83CnKpqOH+8Rx2H8zg6emVmB0WOezaFMUVo3Gcsz4KXdMgCDpCoRKf1nUdn/9VqSg+EBNx464kBJ4zGibN9xElNlllN1mWkltaPdd2LcYBH+2LbDaLmZkZW4fHVCqFVCqFRCKBgYGBjpk56xSiKGJ0dBSHDh2quWkyn8+7UiM6ecY7cV/ayLyYLMtGU1ila8NxHEKhkOPcI313axVrSQVP3zt9X5qmNTXH7PU+z6lrptlFCyg9a+bnjed5g5/QscmFxg6Uf5VluaYmilY38NQyOonN/brha1b5FPb5Ik4PwBCXcRxXJv4SRdHyPqLX0Z85jjPs2TVNW1MjEVoJvzDeZGiahsXFRczOzjp60HRdx8LCAhYWFtDT07PmbIv6+/uh6zoWFxddFaRJfUjFCydJPCfB2asE5tu2d+PesRweOCLh4KKM0d7VyYiwyOMDFydx9mAY33p4AXlFR1AAZBV49Fge6xMihhM89i/I+NoD83hsQsJ7XtGHRKjc1rcZKqRKySNBEIx70m2SqZMUVG6wlgrjtEFzazHrJbzu1CXVjp3dEHXd0Ua22ucmAhqLxYzrROogjuOqdv5JkuSYcLKjHr7x8CKIcn3i8vXVP7hHqKdztJYCOY1fINz+Uga/fDEFngNuvCSJOF9ELleK23Td2ddTc4eqqgahpCSwIAhla7GX9/laKzr6aE/IsozZ2VksLi46er2iKJiamsLs7Cz6+/vR399f87iAdgPHcRgZGcHU1BTS6bSr5CF1xWua5qrJrxo6LYHppcWgHarZAdN34fbaqara8kSMj+ogbtTsgjgLURQ9beykBHolVQcVrc3qHSsoigJVVREOhw2OyRZXvvvYIjQduGhjBOcMRxAMBg2urKoqRFFEQePwy/2lJqE3nm6vlGB/l+DFDE43qOe5tSuQa7qOZ6cL2H0wg/vGc8grK/H67KEwrhyNYcdIFJHjFvSiIEA8PhOSzuUX+zK4dywLkQc+edVGdIdLx6D7h9ZO2gdns9lVn8XLJgyfV/poBnK5HGZmZhw3GabTaaTTacRiMQwMDCAWsxZzdCIikQg2bdqE6elp1+sVzZJ1Gked7EG9XruagWbwskKhgHA4bLu2hkKhmgpIkiR57lzYLlgrhXEqEJrHYzUTJMDwMmeZz+dtj0m55kgkYijFK4EaBUKhkJF/Y0VP5ueCXDPpHnE7hsjqtc2+3+rhS7UWyFkUi0UEg0FjjBOB8sw0soFA+QdqtI1EIigWi8hms2U1KnLg9AI+p1yBXxhvMiYmJmzVPNWwtLSEpaUldHV1YWBgAJFIxOOzaw3I2vPw4cMIh8PQNA2ZTKZi8LSbE1wJTkikV8XMzYxq/IdPp/CJy+ztdK8YjePk/hBu2jOLw0vHA57I4VhagcABLxsO46mpPO4dz+GFuQI+tCOJs4dKiqZmKa6tFLuUrCkWi4aq3C3I+mOtdTmtpUWGvptWJpobkeyupFijTj5672rgeR6CICCbzRqNIoqiGISIJbV2n4MIJ9lrmgsutKHL5/PI5/NQVRW7j7tNdAV5vHxTomnfkRczP9kCeTWCxz5P++YK+MdHFwAA7zi3Bxdu6jaao+h1dCyKj9QxSmpQanawaozw0sliLcUBH+0JVVWxf//+mjabqqpiZmbGmLXZ39+/auZsJ0IQBGzYsAHLy8uYnZ01XIWqxcdqc8jMcFLs6MQEppczne3AcZxlooe+K1mWjTEWbpHP5x3N2PPROtD62krHKCu1rxfHtOKVbDOh0xhLPISdUUiNhM/Na3j0mASBA/7gZb2WhW1FUXD7ixlIRR2be4I4f3251TFxr0pzJs1NiY2ClXVkLaDPMZcHfvXSMn69fxkz2RUOP5wQceVoDFed1IVkZDU/YxuiOI7Ds9MSvvPoPADgj87vxbYe3tgTsMli9ju3yk/QSCYvcgw+r/TRaCwvL2N8fLym381ms8hms4hEIhgYGEAikVgTBfJ4PI54PI4jR44Ye/t0Ol31mXYb15wIdLx20Ws07Pie17BSgtPcY0mSUCgUatrj6LrecdfcKdaKiKfZjXx2IPGFV/sPXdfLbNJZENeodTQVCUnMYhWgFIc0TVv1nsRxqRHB/LxRDpRqA2Y08/vxKpfHFsjd5lnZplb2d1nnCrperJCKYg59H+bfr9aI6wZrRRjhBTo/A9ZBUFV11czHWrC8vIzl5WX09vZiw4YNHpxZ6yGKYtl8A03TkM1mkU6njU4o+jtQm5VYNVLD87ynxI1U4/cfydmqxgkj3QF86eoh/POji7h9fwZ5RUciyCMta3h8Mo9tvQFkZA3TWRV/+etpvPnMLvyfs3sQaAKhsVKHWgXjWpX2a2HDZMZa/EytBjVfeDnP3Kr70Yq8VCO4rAUlkSCyLCKySl2ZlUgM/RtL5kKhkOXc8q8/uGCoxT+ys9/ZB/YAtMH0CpqmVVXMUyJwKa/ic/fMQtGAHSNRvPmMLiPuUHMC++yR9RB77cxzjqw2E17ZrHZaQcxH52F5ebnujaamaZidncXc3BxGRkbaaq5lPejq6ir7LIqiIJ1OGxtKWZaxtLRkxAe36wqpBSslljotmVaL7VwtiEQiq8ZamBsTalVeaJrmecGzHeAX+r2HLMuIRqOWVua1opLCx6wOqQT2fIi3hMNh5KQ8vnn/FADgdad2Ydu6hGXyT9F03Pz8EgDgutMS4Blu5LRZqFlFWLejeayQlTXcO5bF7oNZPD+7cu2jAQ6XbI7hytEYTh8IVd2f0XXPaSJu2jMHVQcuH03gdackDHWWWZUmSVJFi15VVQ3VUL2QZXnNznP20R5YWlqq+xiSJGF8fByhUAhbt25dE02XADAyMmL8mcYCptNpY78pSRJSqRR0Xa+JwziJEa0u/rmFme81CyRSYDltrZx8rc4Y77R7qRLa4bMQ/6NmEC94u6qqxpgAAtuAR2MAq8UOc9MePReUf6OcaLFYtCyKW/0egRotc7lcxWe9mfthr5s+qlnbV/quSYxDQiC2qcCKP1K8EUXR1gXB6ajbalhre+V6sDZYSoeAiJJXiMfjnh2r3cDzPBKJBBKJhPGzZDKJdDqNyclJQ+2pKIphAWK3ANHPNE0z5jtYbYytCmBUhCPCS3PC2Bm/dgHFjWocAEIij/de1I/tQ2F848F5pGUNYZGDpgMHFouIiMD2wRCemS7gf55bxlPTMj50cR9GugOVL2adoOtLn5+6y1jUqvr2SiXQbvAL440B3XdEwIDy57vabCm7Y9rdv/WQWk3ToCiKkaCnDbQTUPLULlmoqiruPFT6eVeIx3kbok1Lmjfqfag4brWx4XkeqqbjC3tmMZdTsbFLxAcu7i+L2ZFIBLIsl3WzUqw23xPViCQ5BtTbfZzJZDA4OFjz7/vwUQ1eJDAJgiAgFot5drx2gyiK6O3tLftZf38/FhYWsLS0ZNiW0agNcsQxg42BlHgzN+UQOI4rc9Oh8T+Kohi8kmaF0etb6c7SDO5CCaNAIGB8/nw+vypO11qUW4suREB7JP3WIuh5o+ZFoJxXUpLQKawUPvT7gUDA8Z7Himvl83n8+pCE8VQRiSCP3zuvz/Z4943lMJtT0RPm8cqtMcORjf3M1dCMwng942tUTcdTU3nsPpjBA0ckyGrpmvEccO5QGK86uQuXjnYjKKyOa7qu2+7fVU3Hp3cfwYKkYnNvEH+xYwDRSNCIj+bzdTK3ttYZnWak02m/MO6jYaAGQq8QCoXWTFHcDI7jEIvFVvHmgYEBTE5OlsV9ugayLFcs2BQKBQiCYPxn5mQ0hsaKVxJ3pVwlq15tFSdiR1s0EiQoCAQCxjWwc+erBbU4lbY71tLYx3YCFTU5jjPyUbquG/+5GdfFHpPlD2xccMqh7PZ3rEiIHLec3BfEn9j8WzV0wmieSmCbB8ygnKPdZ9R13biuuq6X3Rs8zyObzZa9nlT7lfLaXrhcFgqFmh3a1hrWJlNpU3iZwEwkEmtG1eMGiUQC0WgUExMThlWx08WFgkYt3UpEOs2otjl9K6MaP7QoY2sF1Tjhsi0xnNQXxE17ZnFwsfSe/REB85KKZ6YLOC0ZxNFlBS/N5fGB2ybxrvN7cfXJ8boSmhzHGWSSjkPJHVqEG0GevFAJ+DjxYNWcQYhGo8jn867IF5G7aDRa9hwFg6VEWLU52HbvReTXiTWaFew+49ceXACdzUd3JQE0xw6r0QUHu2MXCgX8f08v4+npAsIih09cOoBosDxhSypBWheoocdsEeSULCuKUjexliQJiqKs2aSQj9aC5k55heHh4RPOUovneSSTSXTW8Z68AAEAAElEQVR1deHw4cOWYywqoZ74YMcrWwWv4zupwClJC8BoNiBnFa8/P8/za7b73S+MNxZ2+0me511zAdY6kZq4yfmHRuZUetbs5plmZQ3fe2wOAPC7Z3cjIljHKl3X8ZO9JYe6a09JICSWHHXcJs+a0SgjiqLrOHAkVcTugxncdSiL+dwK9x3pDuDK0RheuTWGZLTEu3RFRsFi208zwa3w/aeW8Mx0AZEAj7++Yj1EqEazpK7rqzh9taI4QZKkumeQptNpDAxUbrT34aNWeCni4Xkew8PDnhyrkxAKhbBlyxYsLi4aykA3MY74US2w4gmtHL3ptQuRIAhlQiUqNtL1rZYXruXeXotFccAvjDcalXgeuUG6iQs0VodGsxAoX1Xt3q/U6FiL+pgK/26fbzt+6xUaLbqzu0bFYrHqNaT8JHHAUCiEnz2/hF1bE4gzX48oimXz3SvBi2uZyWTQ19dX93E6HX62tklw2knjBDzPY/369SesKlUQBIyMjOCll15q9alUDVhbGNX4D55J4ROXOtvMbugK4ItXD+O7jy3i1hfTmJdUDEQFLEgqXpiT0RsWMNobwMHFIr758AIePSbh/Rf1ozvsLqkdDochyzI0TasrmVjrJmotqnp8tBa5XM4oRDpNJLNJTLbZhZ0ZaJXIIrukSgSs2vxsFoIgIBgMVlwrVFXFXcfV4t1hHucMlza8azlpft94Fv/97BIA4AMX92NTz+oGI7KvotEbXsQWL5JDuVzuhGxi89F4eNlsGY/HT+j7NBgMYsOGDTh06FBLz6PRCYNK8KpITWupoih1fZZaRyatRRcioLkWhD5WQI2YbhOAbKKRVZjkcjnbBiSyWrTbj/3o2RRSBQ2beoJ47SkJy9cAwDPTBRxYkBESOLxxexKiyHnaROUVqPHUCTIFFfeM5fDrAxm8OL9yfeJBHpdtieLK0ThO7g/WnRt54EgO//NcqanggzuS2JBwxsudol4VfqFQMIr0Pnx4DS955eDgoOHCcSKit7cXhUKh5ZykVflir4riJN4htX09xdxa5j+v1YZhfw1pHSinWIval9TFpE6WZblsLJDV66sJ0QRBcFUHoHE8texLBEFo6H7G65GPXoLU4aFQCJIK/PWvjuCBIxLu3J/C5141CIEvxWort0s7eHEts9msXxiHXxhvGnyi6S3IHqjVUFW1TGnNqq3J2vmt27uxZyyH+8edq8YBIChw+POX92H7YAhff3AeszkVUZFDNMhjLqdiMa/ijIEQXpwv4KGjEt57yyQ+uKMfL1vvrDNUEATXFoF2qLWAtFZnJq7lImUnQFEUhEKhVTNLK4FeRzZC5nuTRjCwYxyqqT7cJFIjkQgKhULV13/5gdVqcaA5SfNWbO6PpIr46v3zAIA3nt6FXZvtrZ6dqHDcxJx649OmTZtO6GKjj8ZB13XPeCXHcSd0syWhHZJfpOAgRQyrtmZ5pdfx3ivbuVbNkjwRsFb5cqeALBTd2NLSs2DeE5AdLjt3mpo67I49lS7i5y+UCrZ/cG43RN4+Xv/0uFr81ad0I8wpqLXnpdH3XDWltarpePyYhN0Hs3jwaA7K8cvIc8D56yO4alsML98QRcDCKr0arOL9sXQRX7m/pMi/7rQEdoxEHDX40H7aCepZZ3mex2mnnXbCr9U+GgMne1CniEQifqId7TNaj7UYJzSSUwLefXYveSXP864L62uVe7XLvXkig1TGsiw7egZZvmRVAGabSEKhEHiehyRJVYviPM874jAUR+p5HhvdkNHK+9pJrCgUCji4IONz98xiMqNA5EtuwSyld9uoXkvDD6G7uxsbN26s6XfXGvzCeBPgZQITKAUw2lSfCFAUBalUCsvLpY0+zepptXqCEpjV7CBLqvEY7h3L4r+eS+NTrx4BAKPLq1oRdddmslafw0sLMnKKiq29ARxaLOL52QIG4yKg65jOqvjrO2dw3WkJvPO8XsuZapFIxLBI9/L6+YXgcqxVEt1JoCKpOeEviqIxR0VRFMiyXGYnJQgCwuGwYc9lNfPVCSF0qhQXRRGBQMDRa1VVxT2HS+/dE+Zx9lB5E0y9M7EroZHHtkNB4/D5PXOQFB3bB0P4/fN66j6mmw1xvc9xq9coH2sX+Xy+LjtWFjTH6kSCJElYWlpCNpuFKIrGrOtWg/i9k02x1RxKVVUhy7Kr2FWv7Vw0GjXet9Vd+u3wHdYDu+SGb3nZHiDuFwwGy9Q14XDYSPaxzxLFVV3XjZmwpPbN5XJlMbwaX/iXJ5agaMB5w2FcsMG+AfpIqohHJiRwAF53ctT2dU7Q6HXBLkF6eFHG7oNZ3HUog6X8yjls6Qngqm1xXLYlht5IbY1MNGvdzOPziobP3j2LXFHHGQMh/MHLeuv+HF6Dilj+eB4fjYCXuUraR3f6muwUuq4jm81iaWnJGKElimLL1eLAygibaryS53ljBA59b2T37JZ/1DP3lvIilCf1stmylsL4WsWJ8my2M1RVRS6Xs5zvTDOoaRyDOQ9HY36AFW6g67rBTZ3kCKgB28mek/Kp9bqLNfq+a0U+g5obnOyBf7U/jX94eAFFDRiICfjYJQM4NVk+2kfXdVe1rnpU+Iqi+LHgOHxm3QRIkuTpzLujR49icXER69evrzgjay2gUCjg4MGDbUliAoGA4/N62/Yu3DuWxZ7DGTw3sVSmGif7ZEqIFYvFVcFtKBHAF14zhH9/ehk/fW4JhxaL2JAQkZE1TGcUCBxw2kAIL8wW8LMX0nh6RsYNO/qxuWe1s0AjSHqxWHRdOCOFfScl5ImkUEE1GAwaCmJ209FJn2mtg+zR6b7Xdb1sk8VxnDGvRxRFFAqFMstJ1lrdDmRTBJRIbjV7dYJbK6Iv3jdvqMU/dkly1b83ktg0mzTpuo6vPbCAsSUZ/VEBN+4aMCyG6oEbQl/vc7xWZ936aD28TGDKsoz9+/ejv78f69atq6icXguJzvn5eUxOTrb6NOpGJUtJaiAljlWpCbOSxR5xHno/q0RLoxTitcTfTrs3qVGPks/EL4PBoJFU1zTNL4y3GaiAQO5ELN9jmxvI3Y19bpx+l3QPAMDjR5Zx/3gOPAf80fm9tvc5z/O45aXS8/iKjRFs6KrPXa6Zz1Mqr+Luw1nsPpDFgcUV7tQd4nHZ1hiuGo1jtM+Z41olWBV5dF3Htx5ewOGlInrCPG68JFlRkW9GM5uhZVn2C+M+PIfXIp7FxUVkMhmsX78eiYT92Ie1AF3XceTIEUPA025wuu+tNFaR53kEg0HwPG8IbCodt9IaR8U8XdeN0RAsnIoFaoEoijWpMTsJxB2oSEoz0qlZxaumah/eQZZlxGIxI/9oJepRFMV4DhVFKctVOnX9oiZOqjfwPF81V0U1ik5xA2u2OI2er2rIKxq+/fACfn2w9L1dsD6CD+3sR1fIOufipjBeT3Omn6tcgc+smwAviSYhm82WJTLZByKTyWBychLFYhHd3d1G8WVwcLAtrCKdQlEUjI2NtW0yyE0Q2tITxK5NUdw7nsMPn0nh48yscat5uKz9CSEgcHj3RetwRjKArz4wj4m0gmiAw6nJIPbNyXhhtoCRLhFLeQ2HFgr4wG3H8KevWIfrzugxSFAjC7bV5peYEQqFUCwWbec3twsocWllcchxnKH8AFZmUftK0eaCkkTsdafCAHVakkrETACIQFkVGdiEZyAQgKIoZYSLvn92/qAoihVjViAQMGzZ3cx8VFUV946X7r/eMI+zBlcrhhr5fDe7y/qne9O451AaIg987JKBmtVBZrjpwgwEAnV1xvoNMj4aAa8TmIT5+XmkUikMDQ2hu7u7zMJ7ZmYGCwsL4DgOfX19UFUVoVAIvb32RZp2xPLyclsXxb3iDlbqoEgkAk3TyvhWIBCw5W1WiRbiQ3T8Rro35fN518fXdd2Y0dzO8Zca6fL5/KrPRzyS3GwAfxZks0F2lIqilN1H9AyR6xaNwGHBckQr/kBJNNbykgWN4CG7Sk3X8Y8Pl+y9X31SHFt6yovDHMcZe8aZVA53vJQCALzhjPrHuDQ6thdVHQ8cyWH3gQwemZCgHr90Ig+8fEMUV47GcP6GiKsidSXYxZNf7s/gzoNZ8Bxw464BJKPu0mNuYk29SUjfkcxHI+CFEtCMYrGIsbExJBIJDA8Pl6kiFUXB5OQkstkswuEw+vv7kUqlMDAw0FGiH13XMTk52bZFca+a6iiXwoLyGdTAR6hUpLOyRQ+Hw4agoNHNt7XEz0Kh4Nm4oUaC5fjsOkM5MPr+OuGzrEVwHGfZmEEjenK5nPFMmb8f4i1WzyGwwisoL2l+5qPRqOE0xzZu2vERjuOMIrqbXKUTNJrDNJsjOamtTSwX8bl7ZnF4qQieA37vnB789pld4CvEOqf7PrODlVu081652fAL4w2GpmlIpVINObau65ibm0MqlcLw8DDi8TimpqawsLBgvGZxcRGLi4sAYLyOTXi2KzRNw9jYWFt3sbgNvG87uxv3judw33gOhxdlbKkwa5wSLaREpQSkJEm4eCSKbb1B3HTvLPbNydg3J+Pc4Qj2zeZxZFlBWCzZzR1eKuIbD8zggbFlfHjXOgz1xGpWizsJum4DKy3cqqrWZbnUSNB52SVmzQkxWhz9xEXjEY1GjeQ8fT+s+4J5k1/r/RUKhSDLsuEMwDZHkHWNJEkIh8NVRxTQc0QzhdzgC/euqMU/fulqtTjg/r4jAk628fT7iqKsItXNXDOensrj354orVt/fH4fTh/wNknipNhSqWDkFE7cBnz4cItMJtOwJhVFUcpciXRdx9GjR8vi58zMjPFnel0kYm/t2y7I5XI4cuRIq0+jIrxOTLOgtYtNZtqpZ+waHdk1jlQptRTGSXHrRKng5vikPqKZee244TfzCDNYXkkNKO2+Z1sLINcg4j90b9LzYtXEXIuqTdM0o+lOluVV9wN91+QccPu+Rbw0X0A0wOH3zukpOxZxSorPP9+bgqzqOLk/iDM95k1OQWsByytFUTTiia7rOLBQskq/+3AOy4WVteykviCu3BbDpZtj6A5738hPzQ4sXpov4NuPlPIm7zi3B2cPuedtTuO2FwWJTioa+ugcNKLZkpBOp5HJZDAwMIBkMolMJoOJiQmDx2YyGWQyGQClXGUymcTAwEBHNITNz8+X5V3bDW7cLd2CbcCkoiy7HplhF//o9RzHGaN5agGNIqrE+6wsqSuBGhVzuVzbFpQ5joMgCLZ8xFxMJW7Tjvx4rYFU+sQrSaVN7gvmUQFORh6YIQiCIbgh5ynzPa6qKjRNK8ud2r0P3eeSJLUF3+A4zhgFC6xwSzt3zmbf19Vyr/eOZfG1B+chFfWSI9GugZp4ph3q3R/6ucoV+IXxBqORCUxCsVjE+Ph41YVeVVUj4blx40bD4q3dQJZErZ5VWA1uv9ctPUHs3BTFfeM5/MCkGrcDOweNCKOu61gvFnHTq4fw708s4Sd7l/HkpITN3QEEBA77F2QcXipia08AR5eLeOxYHn/+s6P4wMX9uHCjs2IcdYrRoiPLslGklyTJk8IvmxBt182PWyV7oVComvT0UT9ISWOGVeKyHpi/f0mSyr5f9r7N5/OIRqO2SXzqzKQkq5vzVFUV9x8pvb4vwuOMdauLUHazSe3A87ytFZrV5q9Zz+hcVsFNe2ah6cAVozFcc0rc8/dw8lnq/byhUKgjioU+Og/U7NhIkCsRUHnTJ0kSDhw4gP7+fgwNDbVtAU+WZYyNjbV101q9DhVOYR77Eo1Gy+zWyc67GmRZdtW8KggCQqGQkaSj9ZCaPq3g5vti3YdUVa27i75dwM779NE42Nkh1pKorARzIs/OGaFYLCKvaPje8SbB3zmrGz2mYjE1l0QiEUiyglv2lVSLbzy9y5N7xu0x7PY/siwjp4m4/YV57D6YxdjSyvXsDQu4fDSGK0dj2NxTv1V6JZg/T7qg4nP3zELRgIs2RvDmGlX2TsYdVIpzTkDzRH0bdR9eo5EiHgLrPFSJX+i6jtnZWSwtLWHDhg2Ix73fA3qFVCqFqampVp9GRTRr706xjVyFzHbrTuyGzaPunIByKjTiEIAx3tDuPnNTOGPVoM3g57XA7TxicrvxC+ONh5V1vZ3qu1aYc5/0/bI/o+86l8tVLXbTfURzs72G2324XaO2XWxr9n1t99wVVR3/+sQifv5CGgBw5roQbtyVRL9DRyIndaZ6m3V4nm/rNbbZ8Nl1g9GMBCbBaSDIZrM4fPgwRkdH29JafXp6Gul0utWnURW1EKTrt3fjPoeqcTPMSchoOIT37FqP7YMhfPn+eYylioiIwGVbSsX3Q0tFdAV59AU4TGdVfOo3s7j2lAT+8GU9CIn2RJms980beCrSB4PBVbbT0WjUFfk2JyypE5MK8OzGnyW7zYbbxZvICRVIFUWBIAgQBKEtFfGdCqfzXBoN8z1vdb/Q/FBqRKolyXoToxb/xCXWDTWk/Cb7ePMoBjMokUfKQRZWz1szEvNFVcfn9swiVdAw2hvE+y4eAMd5W8gKhUJVyWa9zS1nnHFG2zb7+OhsqKraNH7kZv2bn58HAAwPDzfqdGqGqqptPZaHUMvsw3phTtiQk4mX6yvP8wgEAobqhgWth+bNPTVi1prABErckXglqSkIhUKh7e8HAvHuSCRiJJppHfPH9niHVt0Puq5bKpkB4MfPLWM+p2IwLuK600pFW9ojkaU7PTu3v5TGckHDupiAnZvcORJVQjAYhCAIFQsNBEmSjMJILpeDrOp46GgOuw9k8fikBO34khLggYtGonjt6X04s4+H4JFVuhtouo4v3jeHmayK4biID+xI1sRzSc1UjTPWM3YikUhg06ZNfoOMj4YgnU43rZjg9BkgG/atW7e6dlhrBnK5HI4ePdrq06iKZjeDmp3zKM/g9f0VDocNBa6ZN0uSBJ7nV41qDIVCtsIKO7DHJu6laZqxblNM9rrY6RZu1wYSetB1JPfOdsitrRXwPN+yUaE0jod4Lctvre4VasDlOA6yLJeNiPQauq4bwhEns8sLhYJRzGevp6Zplg3QzS6MWzW1z2YVfH5PydkXAN58RhfecW6PY65LtYNK4Hm+rpizfv36jhuH12j4hfEGQlEUwxqo3VAoFDA+Po7Nmze3VQI/l8thbm6u1adRFbUqe7b0rqjGf/hMCh9zoBq3AxWRLz25H1t6g/i7e+fw/GwBdx/OYeemCMaWiji6rGBZBrb2BHBoqYhbX0zj6ek8PrIzidE++6J8JSItyzJEUTRURjRj24060spCk10Y2X9rlOqSSHO1ZAa9v5OkEIH9LJqmQVVV14peH/Zoly5XM5lg/06FcLqXFUUxXB/cJOVVVcUDx9Xi/REep62ztrwhq0qKS06scexGGSiK0tDZsXb4zmML2DcnIxbk8YlLk+iORYzmEnbesZtnkSCKIkRRrEoiaVNQD3yS6aNRSKVSbbuOzM/PIxAIIJm0HvXQKszMzLQsOeEG7RA3qAjrpXqdkojV3pfm2RFfcsMreZ5fdb6s45J5vWiUs4+TxKumaYhEIo4SQgTzmkTuRH5h3Bu0MoEJlFuy07Myl1Xwk+dLCvA/OK8HAYEzGpfNjluhcBg3750AALz+tC7PCs2yLLu+x4rFIp6fzuGO/WncM5ZDVl7h66clQ7hyNIZLNkcRDwlNd9ii+MZxHP7jyQU8diyPoMDhU6/eiK4w53pvEYlEVlmh2r2uns9JCWsfPhqBRtqo1wNd1zE2NobR0dG2sPQlkLNlu3JxFq1uAKQ8g9fqUyqK24FmbVOuUtM0FItFV+u8VdGN/X12bWxkfKbPUCl/QQ1a9LmdwLwmEQ/3hTzewEmOuVGwU4wDq4V9VvyEBGpeC9OoSZrgpOmJ7mmr/aCTkVyNBhXoKVf5yJEMPnPnFJYLKmIBDh/akcQrRpw3d1GzazVeWW8ji+9Gthp+YbyBaOcEJlBSjk9MTGDjxo1NeTAoKFcqxIfD4ZYUZNyiHmUPqcbvHc/h8JKMLXVYx2maBkmSsCmZwOdfE8D3n1jAfz+3jPvGJWzuEXHF1hjuPJTFoaUiklEesgocSRXxodsn8c5ze3Hd6Qnwpu/eCSGymqXsJKHA87yrZCBQnWxSIpLOy8kCSSpec0edFYgs1JOEJLtSvxOzftjNlGnG+5qtp8z3piRJRgOE1Yxqsglzcy98bg+jFr/MupEmEoms2gi5WXusnjGzgqnRa8Tugxnc+mIGHIAbdiYxlAhUTMqSfRoR5mqf16lrQyQS8Z9TH22Ldk1gEqampiCKInp6epryfqqqGrzCDolEwlC0tzPaZb8gy7LRxOVVLHTiTmUVn52sO5TUcVPUqnStqamM9ipOXV7oelVL4LNrdT0Nk6TObff9UiegVQlMURQN1Vkul4MgCMb3+b0nl1BQdWwfihgKcFmWV90v+XweDx/N4eiygliAw6tP8sYW0fz8V9srzWUV3HkoizsPZnB0eeWeTEYFXDEawxVb49jUGyp7TlsR80RRxL375/G9x0pN+O95eR/WR3Vomo5gMGg8U9X2km6s0dvVgteHD0VR2tqlUVVVHD58GNu2bWvaGAESfdiB4zjEYrG25+OA94WtWkFNSYA350Tq7WpFYCsOW20tA+q3KLY6Hs1FVlXVci03g8ZaUt6oEuhc650X3C77kLWAVl3LUChk5CGtnhNWEBMMBi15DNtE6NXnEEWxLjFmPp9fdT7mfV+1scKNAF3HTLYkevzhMynoALb1BfGXrxzE5v4YgNLer9q5OY077eKcutbgF8YbiE4gTKlUCoFAAENDQw05vqIomJ+fRzabNWZTB4NBhEIhJBIJJBKJslnnPM+jv78f09PTDTmfdsCW3iB2bIri/vEcfvh0fapxgiRJCAgC/mzHepw1GMaX7pvD2JKCmYyK3z6zC3cezGIup4IHsLFLxNFlBd99fBGPHZPwwR39ZfMuSM3iNklEnZn5fN428DfCpseq0F6p49H82exIgdX71IN8Pu/PH/cANOe+2WALpmSVb1X4ps1Ppc0aSzgrvU5WVTx49LhaPMrj1KT1hkdRlFWbPDfkU5KkVZ3RzewiPLgg45sPLQAArj+7GxduKHWFsjahZpiLFZFIxCDE1LhDHZyKojjqoLZqZvDho13gRJnWDpiYmIAoig2bW5XL5bCwsFCy6j0esxKJBERRRCKRQCwWKyvExmKxtldB8DzfNglMYKWJyyvL7nw+X1PCwpifXGUsiFtUSvRYNVpRY5zV82f+t2Kx6FhxTwr5WkF2e53giOBjNdiRN7FYDLlcDqqq4sW5Au46lAUA/OF53QiHwxWdCEhZfu3pvUiEA3WrBK24kNUc7byi4YEjOdx5MIsnJ/NGE2dI4LBrSxxXbI3hrHVBQ8EeDAbL4nAr3J8Ozy7ji/fNQQdw9UlxXLltZZ1iR5YJgmDwdE3TjJ8Hg0FXDgN+U7SPdkYn5CrJVn3Lli0NGQGp6zqWl5exvLxsOK8JgoBEIoFwOIx4PI5QKFS2L04mk21/7dqN91IM9Som1pqnCAaDZfPPzXBrt07nUq2AaOax7Ig9M6iISL9DRfVq71FvEdNJLteHM7SClweDQeN9A4GA7bPGcdyqmGaGLMsQBMGzIqyVPbub+5VyrHYOs0DrnNeWCxr+9s4ZPDlVirdXnxzHn1zQh6DAlT33oVAIoihC13WDVwYCAWNdayZX9JtgVsMvjDcIsix3TAFsbm4OgUAA/f39nh1TVVXMz89jbm7OcmFNp9NGhyrP89i8eTNisVJHTV9fH2ZnZ9t2QfaC0F2/vRv3e6QaJ9B860tO6sfW3iC+sGcWz84U8D/PLePyrbHjCQwJR5cVDMVFLEgqnpzK4723TOJ9F/VjBzOTjr32bpKZuVwOPM8bhUPz/AuyU9J13fHzQbNF7GYmWxUA7TYCVt8dqwh30s1VK0ih7idJ6kOr4gIVs6k4xTb0mF/nBKTKq4TP37MyVuKvLltn+zorcpPP513Z4ZqTDc1SuGQKKj5zzyxkVccF6yN42/busn93urGw2uS63ZR4aR/sw4fXSKVSrT4FR9B1HePj4xgdHa1bvcAin89jenraUt1Es9cXFxcBlDbgJ510kqEmHxgYwJEjRzw7Fy9BM4PbqTBOKBQKnqjHaaYccURd1x1tyqnJKRAIIBQKIZ/PQ1VV43fJNSQajTpWdgMlHhEKhSybylilBfszq/Ol7848PocUZ9WaQetN4tAa50Q55cMe7WAnWCwWjXvsO4+V4tjlW2M4ub/yd7t/voBnZwoQOOCabRHHzb7VzsX8zLOz0J+bLeDOA1nsGc9CKq48F2etC+GK0Th2bYoiGuRXFWbM+7VmJ+aKqo7P3zOL5YKGk/qC+JML+2xfy450YOG20OTFc+knMH00Cp3CKyVJwpEjR7B582bP4rWu68hkMpienl71XKuqimw2axS/BUFAX18fBgcHAZSKzolEom3V9myBrN1ATZdkb14r8vm80azlRtnK5v3oXmLjPJ0bjYp0Ak3TjHFAds38Vj+LRCKr/i0UCq0aGUfnTGpgu/2CF2tFLpeDKIptm4fvFLRihKYsywZ3oyZdKzjliKqqemaxL0nSqr0Kzbp3ej7m15nnjNfbbFwL9s7m8fk9c5jPqQgJHN7zij5cMWotDKDPzl4Dt3Ha3+81Dn5hvEEIBALo7e01knTtjsnJSYiiiO7u7oqvKxQKOHbsGCKRCCKRCKLRaFnQ1TQNi4uLmJmZsQ1M5gKMpmmYmZlBsVg05mjFYrGyvwOlxZ5m39K/NVvh51VRcyujGv/RMyl89JL6VeOEXC6Hjf0JfOYqHj94JoUfPZPCXYey2NQt4vfP7cF/PZfCVEZBSAAGogJmcyo+e88sXnNSHH98QS/CYvmsRlLokjKlUielKIoGodR1HTzPG8lBOmaloqIV2PlEZlTq2rcqclX67iRJMuaOW31GrxZa6sakY/qLmztQor4ViSK2Y1fX9brJia7rtmRTVlU8PFH6eTIq4KR+e3tW1n6TPTbgnJibEw3UMd9IgqnpOr543zymM6VmnRt29q8a7UDPfrW4W894CwC2jTc+fLQLent7sbS01BFrhqZpOHz4MEZHRw37RDssLCxgeXkZ0WgU0WgUkUikjCfKsoyZmZmK6hxzjJNlGYcPH4aiKEYMjEQiRgyneKdpmqGIpnlbTscueIV2LYoTSD1er0Ud+x0RPxNFEYIgVHRZiUajZW4gNNaGmh7IvYWK405ArwsGg6vWOLskjZVqvpIFN804JzUAx5UrB6zW7VpB9zfHcTXNhT7R0arCI5vEJOXIfUckPD9bQEjg8M5ze6oe46d7S2rxSzbHkIyJDYtd0xkFdz49hTsP5TCZXnnOBuOlsV1XjsYwlCjf25njhR1PbRa+89gCXpyXEQ/y+KsrhhGsID41N3bXAr8R2ke7I5lMtm3ToBmZTAYTExPYsGFDxeK4rus4duyY0dRHuUr2d3K5HKampio+nyyfUFXV4KrEPSi/xXJKYMVdgxrgKVfVrHhHiuh2bqgpFAplucFaIYoiVFVFMBg08haUe8zn87bXgC2Kq6oKURSNYrCu60bsd9MwT4IEK9gdx+o+rsS12WZIcppiOaxX+wly7ANQdb65D2u0akQPK+TJ5/MQRREcx9WdI6sXuq5b5hStXCvtYLVvYu/5Zja56rqOn72Qxr8+vghVB0a6A/jYJUlsriB29MI5th0aedcq/MJ4g8BxHNavXw8AHVMcP3r0KIrFIvr6+iBJkkEWKZBJkmRYq2SzWeP3AoEAYrEYIpEIFhcXqy6eNIuBDYA0b4VQLBYNcmIGO/u2WCw2bZ5ELdY6lWCoxsdyeOt2b1TjLASew++d04Oz1oXwxfvmMJ5S8INnUvi9c7rx0FEJz84UMJtTMZwQMZVW8Mv9GTw7nccNu5I4uT9kJJHpM1spwAk075esQagLlC2Gm19PhSzzAkeFabrvKi2UlUhHKBQyCKqmaauSklagecVAKaFBCUY3tnnVQN13BFEUjefBT2Y6AynHmg3agFGTDm0cyNXAjRMCwY5sfu5uVi1euXHGzlqOupErnRN1OFsRZir8N6o4/sNnUnj0mISgwOETlw4gHrL+HOZmCIr50WjUdVe3Hbwa80BJEh8+vIYoiti6dSsOHTrUEcVxRVFw+PBhDA8PIxqNIp1Ol21e8/k88vm88VkymYzxu+Fw2EhmzszMVE3w2cUolj9Eo1HbWMjOam6EVacdOqlwYrZBdgtqcioUCsb3QooGq2tASbl8Pl+WQLX6DgVBMNYEq2NREpTWbjqWef2tZGlPKlr28zgBcWFBEIx7kMZKeZU0M5+zXYOnD2u0Kp6a779sXsY/PlgaJfY7Z/dhJJmw3CcRZrIK9oyVvuM3ntEFoHLDpRsoigKpqOG+8Rx+fSCDZ2dWrlEkwGPnpgiuGo3jjHWhVQ2N9JyY7z9ZlhEOh40iUTMVaXcdzODWFzPgANywM4mNvZFVjSpUPCP79HqvoVcORNXmy/rwUStIENMpxXFqkCTldiaTKVuLJUmCJEnGmriwUBrTJYqiUSQvFouYn5+v+l5mPqGq6qrcpF0+glS/hGaO0mvFnN1a4EUB18yr6HNTDtOMaDRqNBCam2Ct8pF2zbLUFMFaItsV/irlF4i30p+r5T0JxFnC4TBEUTT+7uX3zp4zjQzyBT3O0apcENsERDn5SCRiOGUB7i27vci5VmoysRrVw4Jy5cDq51RVVePYXhTwnSAra/jaA/O4/0jpOl6yOYr3XdSPvkR01bUiF10vmlYCgYBn+e9IJOLJcdYS/MJ4A8FxHIaHh5HJZDrCnlXXdUxNTWFqamrVv1UidMViEUtLS5ZqHqtuM1ISszAHwkoqQUmSyjb9tFDTTFm3wT4QCDgqfHqZxAKOq8ZHorj/iPeqcXbROHc4gr+/dj2+eN8cnprK47uPL+HKrVGcd043fvBMCpNpBbEAB57nMJFWcMPtU/i9c3rwpjN0Yy4cgTYFBPp+i8WiYY1E1pSkBLK6rnQ/kPKHunplWbZ8PXVxhsNhY5Ena3I7sLPiagHdR5RQbVSCkQqsXtiVnihoFvGxgnnTQd9XLperiWTYqcUfOVb6+UBUwLYKanF6buxAbg80K5Z9vqolT+mzmTf4XuCRCQk/eLpk4feeV/RhtM++MUhV1bLYQi4WpBKs95mheVpeIJFIeHIcHz6sIIoiNmzYgIMHD7b6VBxBlmWMjY2t+jnrBGQFKppbwUoZS81vlQropN61imVkia0oCvL5PGKxmBFvapnhHIlEVik5rNAJyUtCveuuFSczz65jkx/0c4rxNBOPGmetjs/eB8FgEKJYUtBacUVqnCSXI0pKVkOt6w01RRLXa+R3z84Y9LKxc63CbMfYTLBx7ucvLGM6o6AvIuC6U6OGzaRdYfwXL6Sh6cDZQ2FsYzhUPc+qput4cVHHrXuP4f7xHArqcfchlN7nqtEYLt4URVc0bCT66PwoeV7pGWH37s0qFB1elPGNh0oFsrdt78YFGyKrRltxHGcU7OttLKBmca/2cz6v9NFIdHd3I5vNGkXkdsfS0hJSqdQqvldpP6goijFH3AxBEAzewcYkqzXaqTsZuQPS+bDFKWoMdQunMbNT1L2aptU9wsyuqdJsjU6CG3I/Im5YaeQNNReyI6Go+Z0VkBFIdU4clHhlpe/D7dg7q9+nz+iFy4kdWKGUP4PcGVpV+xFFcVWcoL/XykmoqF7rXoL2InagPDjlUc1Ni5Uafdn9TjNwcFHG5+6ZxWRagcgD7zq/D9eeEgfHcUaOkkSgxWLR+Cz17i+oUceL+yoYDBpNEj5W4BfGGwye57Fu3TpMTEy0+lTqQi1dT0Qe6QGmYGeVHLPa9OfzectEJ1kuUhKTSA4Vx50GbioWFQoFy3lqZjSCALzt7G7cf6SkGn/bdrmi/YYbmK9vb0TAp69Yh/96NoUfPJPC7kM5jHQHcMPOJP7z6RTGU0UAOgbjAqYzKr735BIeOybhwzuTGIithAm6DyhBab5edN2p295uIaUFkBZBWZYrzoek4rHba+DVTJRmgEinF3OX1jqo2NvsOTLVYgDZYrrZMFg9I59h1OJ//Ur72eKEas8G61JAca9YLDp+NrxOqk+li/jifXPQAVx7ShxX2sziMZ8D263shUWcXRyrB34Hpo9GIxqNtvVsQyegwqXbjSKbGOQ4zih+ks22+T3MsEtAybJsNN8A5WNO3MQaVqkrCEJVDtLKJi+3aIQtJ3tMsjU3x2MqJlNTLXF/do1lm2lFUTS+52o2qW55llfzgpvVAEmfj1VU+bBGM50iCKzLwaKk4kfPlpoF33leD8Iib7zGqiCSlTXcvr+0Brzx9K6yf6vlPp1YLuLOgxnceSiL2ewKt16fEHHVtjheuTWGdcx+kN3Ls0l5p/d2s/ZWOVnDZ++ZRUHVcd5wGG/bvjIyTpIky2J+PQlMsjH2ag/H83zVcSQ+fNSLgYEBLC4udswaYXWetT5z7D6QdZexgrkwTpbgVjyPbd6mPSzrSug0VlJhloRB1ARoB9YBqd1R7xi0arBaO0nhTdfJToxFOTld142ROJUc6mrJVQLu7Nrt0MzmR6f7mxMdTlwbGwFJkqrGAHLOcHPf1cORnTTosq6bHMcZjgz5fN5RvreWPZ1b/Gp/Bt9+ZAGyqmMgJuBjlwzg1ORKgZncwYDyUZb1jt70Wjjn5yqt0TkZmQ5GT0/PCdeVQV2RFKBIfUPJR1Es78mwUpFTMsAKuq4bgYdm/bK/VwnRaNRQT+ZyOSPYEgGyC/yNUBKMHleN6yjZCnsJ8z0n8ByuP7sHf3vlIPoiAo6kivjK/fN43alxvP60Ujf6dEZFT5hHUODw7EwB7711EnvGVmzzSQVezcojHA4b6m5Zlo3OJNZBgDraJEmCqqoNSRB3UtKZwDZq+LAGFVWaCbKArQSKKW67FqmhBwAkWcVjx9Xi62ICtlZQUtcCOsdWNV7kFQ2fuWcWWVnDqckg3nV+n+PfpWQjG9tqbY5wEsdqwZEjRzA/P98xySUfnQmykexkuG24ZK3Q2QYfXdeNYigLKy5YKT6zr6dub3qvSuB5HtFo1FCW0+ZVVVXk8/k1s5Y3Ys2gxA1ZpVeK56SyprmdwWAQkUjE6KKn748aZhuRGKZZlp0GNpHpwxqkzm4m2ILMfzy1BKmo4+S+IC7fGjNew44eYPHL/RlIRR0j3QGcv778eyXVSrXYlZU13P5SGh/55RT+9OfH8KNnlzGbVREL8Lj65Dj+7jVD+MfXr8fvnNVdVhQ3o1AotGXjha7r+OoD8ziWVjAQFXDDzmSZExqNADPH+1ob4SORiK2jRa3QNA379+/33cR8NBSBQAD9/f2tPo264Pa5Ix5JzxYVYqgZj+aDs7DirU7jnhtOQvyGGo5or0oq50p5ZXOOtZ3RSLvpSuOTgBJ3p2YFygFTrpK+d5oV70ZM4BatcKqpF7S/iUQiLWkq7BTIstzUXDQ1cFSLNbXkKqnRpxa4fc6pSN4ujRd5RcNXH5jD1x+ch6zqOH99GF+7ZrisKE6w+r7reUYa4SabSqVw9OjRpgvM2h2dVzXqQHAc1/FJTDebXSIiRFCpe5osEqkYHQgEypI0VgGarM6sAgpbTGXJcLXknZ1dN7DScWdFOBtVjHvb2aXu9XvHchhb8o4c2QXhs4fC+Pq1wzhvOIyCquNbDy9iOa/hr145gP6ogKW8hqKqoz8iICtruGnPHL5y/xxyRc1QWIqiWDGBpGla2Yx6uub0Myqws/dVI8hxuyVp3IBIy4nWVOMU1DndLLghDzTLLBgMGnGOZpvZHZue18/uYWeLV1eLdxJ0Xcc3H1rAocUiesI8Pn7pAAKC8+eekphsArsWsknzlxqxGdV1HZOTkzh8+HBHbnZ9dAbC4bAxG7JT4TRZEAgEysbkBAIBg/+xDivUnU9JQbuYTQpBM+eg36dzIy5ZLcaQZa7d+5EVo9VxOskZhni8lyDFLCUo7fgOcTni6DSHUZIkw0GELMrptY3if53YcAnAGBPgJzLtQU0XzQDrmHF4UcavDmQAAH90Qe+qmd2qqiISiSAajUIURfBiAL/YV1KLv2V736rXA/YJWVXT8dgxCV/YM4u3//govvHQAvbOFsBzwPnrw7hxVxI/vH4r3vuKfpw+EGrZnEwv8NO9adx/JAeRBz526QC6w+X3PTVaksNZNBo1mgrcopGuDLIs4+DBg5iamvLta300DAMDAx27vgHu9uk0g5pVcFPR2VyIqFYMItt0qzwmFVyB8jxntThB4hGr511RFOM9rdBJ32EjCjOKohjXhpoL7N6bLSAWCgUjV8ledzffW63n26mgNW+tNAB7jVr5RK2g/bFTRCIRRCIRBIPBslxlpWemFk7YyQXYieUibrh9Cr8+kAXPAW8/pwefvHwdukLW+yial14oFAzBZa35wGqjierB0tIS9u/fj0wm05DjdyI6p6Wsw5FIJFpip+EVnBIB85wWuy4XXdeNRGY4HIaiKJZBmLUcJFUIdQ9RoiCXy5UFnEr2nGS5Xgmqqtra6lCw8zLAj/YGcfFIBA8ckfBDD2eNS5Jka93RExbwqSvW4cfPLeP7Ty3hN4ezeGm+gI/sSuK2fWncM5bDvKSiP8JjQdKw+2AWz80UcMPOJE4bWElcUret2TqatbpnQbanRKRYm5FGLJqdXBgHfBvMamgW0XIau8nqO5vNlv2cLX5QNyfbBUmxRpJVPDFZ+vmgQ7V4J22obnsxg7sOlYjljbsGkIy6oyCkeguFQihqwP++mMYdBybxt1cNItkdd0QeK82o9RLZbBb79+/H8PAwenp6Ojq57KM9sW7dOqRS3jrNtCPM89JYlx8CazUJVFaKsPyQFH4UR/P5/CquWS3GOklC5vP5svE9hFZZ7dUKnuerznJ3C3PcJp5o/rnd98DOpDM3bDai076Tks5WkCTJMvnvA7Z7P69BqmRd16HrOr7z2CI0Hdi5KYqz1oXLXkd7LDZG3H0oi9msgp4wj10jIWMOOXFNjuOM+d+E8SUZuw9mcdehLBakFe68qTuAK0djeOXWGPqPc7JoOIhcrnO4pRWenc7j355YBAD8yQV9lsoeNo7RbFiK/aQedWJ/2axnaW5uDplMBhs3bvTdH3x4DkEQkEwmMTMz0+pTqRlO+Uk+ny+zuaXn1yrvR0IFs6CDBdu4Sc2S7DGszrMSnHwGaro0W6vTz9tFbVkJ5lnsXsA8spOaYamhkqCqqpETYEFNt+SwF41Gjd+TJMkT63MzeJ7v2KYnekYon99JealmIJfL1TQ6zC3MNRg7BAKBsly8Faz2CKxLm1sUi8WGPDeNxn3jWXz1gXlIRR09YR4f2ZXEOUOVnaXIKY7ljnTNnMY6EiI2OjdQLBZx+PBh9Pf3Y3BwsOP3t/XixP70TUSnq8adLtbUbUmwC57sz/P5vG1hnAXb/U6qEKvja5pmeSyageY0oFtZhiiK4tp6xAmu394DwFvVODUf2ClweI7DW87qxudeNYhkVMBEWsFf/Xoa2wfD+PCOfsQCHOYlDQEBSAR5TGUU3PirKfzg6SWo2koxm2a8m5VEwWCwTCVLVpm5XA66rhvduoRGWD91cocaCyoI+jNBytEMy3mO46qSfHJRkCSpKvElO65wOIxAIFBGkj5zz6zxOiezxYFSXOyE+2LvbAH//NgCAOD3z+vF2UO1JfXyuoDvPjiJt3x/H7758AJenJfxm/GS1SiR/XA4XLHbtVmbT03TMDExgenp6aa8n48TC6FQCH19zkcRtBucNouYOZsTFxXiJdWUsaxbB80PNINVkptRzarR/F7UQc6iU4riAIzROI1s9JFlGblcbtU1J+VFNBo1ikJ0/anYa15//QSdNdhEZidawzcSlMRsJNjG4UcmJDw5lYfIA39wXo/xGhodYFav6bqOn+5dBgBce0oCQYGDJEkGHxYEwUjCLhdU3LIvjQ/+7yTefcskfvz8MhYkFYkgj9edmsBXXjuEb75uGG8+s9soigOlmNTJrgILOQU37ZmDpgOXb43htSfHbV9Ljdw0x5L2p7Q2BAIBQ1VlBafJaK+Qz+dx4MCBVQ24Pnx4gWQy2dHPvtPEPttYUiwWq1qk0969GvdhnYaI61lxS1p/rc7fTbNkPp83mnpYdFIzdj0WzU5ATnNWXJ7ifTQaNazz2XyOOb43qrjXyc8cgfL5lRTHJyqa8TxWu+Y8zxu5+GpiK7YhKBKJGPd9PfmzThrxoGg6/vnRBXzunjlIRR1nDITwtWuGqxbFCazLWTAYNFwVyO2UHM7sGhwjkUhTG5vm5+dx4MCBE16A1zl36BpALBZDLBbryM2MmweFJRGs3TH7gNsVtCuB1OFscduKOCqKYgQhlozWsnElstboTe9oX2NU46RIqIQz15XmZHz1gXk8MiHhmw8v4JLNUfzdq4fwD48u4JnpAmRVQ39EwLyk4j+eTuHxyTw+vLMfQ/FSk4CiKGXJGKD8esdiMaMgTt28HMcZi4MkSYbdlJPufKdYK4VxAEYXJjtbtdM67xoBIm6NuhbUgFOpm5csc9yA4iGdtySreHKqdIyhuIDNvc4Ts7Spb1dCsyip+Nw9s1A0YNemKN54esL1MY6li7h57zJ2H8iioJY+52BcxHWnJXDNqT0IBgVD+cnaqOm6bthkmrv4mwX/OfXRKAwMDGBxcbFtn30vQGprWs8LhcIqpbdV0oEKqZV4gCiKRlyn11lZ39H7BINBCIIAjuOMxkC3MHfOt3PstkIjFD5WoP0DWaWTmxNQ+h7M+ylN08os8s2c08dqEA8hlb7Z/clHY0AxLJ3N4V8eL6marzutC0OJlcZrRVEs79tnZwrYvyAjKHC45pRyLpXL5aBoOu4fS2P3wSwePpqDcvzrFDjggg0RXDkax4UbIhXH2Oi6Xqai7CQomo6b7p3DYl7F5p4A3vOKvqpJ6UAgYIwaoJm+VEBh91rxeNzgkxSTWhFbdF33m358NAQ8z2PdunWYnJxs9anUBCfOkEB5HlLTNFunGjOqFawpPxMKhYz3sCtwUBGWxnsBpbXBbbMkFXDZ9+mkwjhQWrusnCa9BBXIWf7KXutoNApFUcoaLDVNM+yQqbm1EfxXEIQ1kyuga0OjSbzM63YqmrFvqpZHN7tVOgHxHy/2UZWcbNsJc1kFN907h72zpfN80xldeMe5PRB55zGVdSSha05CJsorm0VvJNyhukiz0e7fSzPgF8abCI7jMDQ0hKWlpVU/t4KmaW2T8HSTKDGTGnaDWQm0IaX3osIp2cOxC62TeQheFQ7NlkSN+j6u396DB45IuHcsh+u3y9jU441igZSUla5Fd1jAX71yADfvXcb3nljCnrEc9s/L+Miufjw7I+Pfn1zEvKQiInLQ9JL68323TuLdF/bh8tFSJz4lCKwWPQr+iqIYFn+s4p8IJzkHeJWYW4sJPjYZTy4I7AJ8IqLRGwpFUYxNbqOskP727hW1+CcdqsUJVAhuxySmqum4ac8sFiQVI90BvP/iflcb9r2zBfz0+WU8cCQHusNP6gviTWd0YeemKBLxUtONleun+Xq0atPpd077aBQCgQA2bNhQcbPLPm/5fB7pdLoZp+Yp2CKNpmmGQriW45CymNZSQRCqNq3S+upF/CdXI+I9nVi4bVYsJWt7s1KBdZAifk4qX3YGHqlovVwbO+27cgLWepQSN51gw9ooyLLccE4lSRJ+fbiAo8sKukM83npWd9m/2/Gknz5fUotfORorm5l9cFHG7gMZ3H04i6X8yrMy2hvAlaNxXLY1hp6wc1UaxcZOazD+9yeW8NxMAZEAh09cOoCw6G6d0DTNVgVeKBRWxb5WFah9XumjUejt7XWUJKcYtby83DZFPafPBSmt6fllOUUlkMKYLVyEw2FomgZZlo3rFgwGHcVOr6ynyb63HfMAThEMBpsST+1ET6xTEdmnk5KbbYJqhFV9pzUyOIF5vEChUOg4PuElyImnkdeAmnJkWV61V6ln77IW9z1WePyYhC/eN4flgoZYgMMHdiRx8Yh7Nwtd140YwYqrzDGH5/m2cY2jUWknMvzCeJNRyY7LCslkElNTU1heXm7gWVWHmyBuVYhlO/TskoBENilosHMlWfLqJIBYWdLQw05WOW7IF1lhEPFtBMyq8Rs9Uo0Dzqx/eI7Dm87oxhkDYdx07ywmMwpu/NU0/uj8Xnz56iF8+f55HF4qHaMnzGMpr+FL98/j0WMS/vzl/YgHS0Hf6rpSwZwSwoFAwFD/UNGRujI1TfOUbDZjrkurQBswsmQ5UTszKXneyM/OHptVsVGTRz2QZBVPTZeOP5wQMVJDU0y7ktZ/e2IJzzJJymigeuJB1XQ8PCHhp88v4/nZlet+4YYI3nh6Fy7c3G3EZLskQDs1xZzoRNNHY9HT0+Pq9ZlMBseOHWv5uugmZlnxCo7jqnIbKpjSZxUEoazJkhxHqnFcRVEs7S3p/d3yDJb3NNuK1wvU8plrhZ3SIp/PIxaLlSnvNU0ziug0483rudHtUgBoFNh9F33HJ6I6tdFcOlNQ8b1HSw2Rbz+3F8meeFnTq1VMOpIq4uEJCRyAN5zehaW8irsPZbH7YAYHF1fuy54wj8u2xHDltjhGXbgPmREMBtsmaecE94/n8JPjNvMfuLgfG7qcjT5j95x2sYLn+bZ69v3CuI9Gged5rF+/3vHrBwcHMTs7i7m5uZbvRd3st8yFWBLyUMyz+yzm9ZBygxzHIRgMGvmBas+oXa6Limdu3fDYgm877YGdopl7ErvitqqqRpOlIAjGdSQ+IAiCIfTxUuG+lvMErFCNdQo90dAMJx5N04x7lZwo6LkiZ5xWol1z1Kqm40fPpvCDp1PQAWzrDeJjlyYxnKh9fC77TNsJuERRbBte6XNKvzDe9ggGg9i0aRPS6TTGx8dbSjjdJMGsyBxt8iupY9huqmKxWLaAsioGmttDhVbze5GaiOxzyT6ESIxdV6J5Ni17nqw9Y6NAqvE9Yzm8zUPVuJuF6LSBEL5+zTC+9sA8Hjwq4R8fWcSOkSg+feUgfvr8Mm7eu4ylvIZ4kEeuqOHuwzk8P1vAh3cmcda6km2pVTdtNpuFKIrGd0eJ4VAoZHRUmRPWXkAUxZYXABoN9tp1gk2N1xBFsamfmTqzqRGhXqL56d+wavHaGmLahVixuHcsa8zC/ODFSYx0VyaYBUXDnQdLv3MsXbqmIl+aEfnG07uMeEiNT5VUXe3wzNMM+a6urlafig8fBuLxOE466STMzMxgbm6uZefhJm7SbGv2uVZV1VATV0oqsZyOmjQVRYEkSeA4DhzHGfEzGo0a1u1msHwwEokYbkaVOAbHcWXNsOwx7Bx2OgXN5FYspydEo1Fks1mj4ZjjOGM+NNsAQXsPrxQ+xF079XtzCnZ8Tye6GtSLRicwf/BMCmlZw+aeAF61reR8E4vFkM/nbe+tnx3nUyf1B/Evjy/i0QkJxyfLQOSBl2+M4srRGM5fH3Fl+2iHTkrWTywX8ZUHSuvZG0/vws5NMce/y6p77Bptg8FgW7go0Dxc2kv78NFq8DyPwcFB9PT04MiRIy19Ttwk9632zVZcw+r3zHku4o70/vl83shhkvulGdTAx+a+2AKs3Wdh7dfNnNJK0d4paDa3sprLTmMqgsEgOI6DoiiG1T4Aw20KKO3xvXK5bIecRTNAsaHT3Q1qRTMV88Vi0bDqrmVEQ6PQboK1VF7FF++bwxOTpXvz6pPi+JML+xCsMG7ICdg4RrUtc6xoB45NeYp4PN7qU2k5/MJ4hyCRSGDDhg2Yn59vmW2yG7JpDnhkG1mt+9HcTcUuoPR7lLBkA44VCWQtM+k4iqIgHA6vun6RSASqqlYk880I5KN9QVw0EsGDHqvGaWam081KIiTgLy8bwM/3pfGvjy/i/iM5HFgo4MZLBnDhhgi+cv8cZnMqOADxII/ZrIpP3DGNt5zZhevP7ikL/IFAwLhulGgLh8MQxVL40TRtFVHwkhSv9eSlGSda8hJonv0WwcuEqSSreGamdI+uT4jY2F1bM4zXYwjqxfiSjK8+MA8AePMZXdixyd6KKJVXceuLadyyL43lQun8Y0Ee154Sx+tOSaAvWk5V2HhBik+e58u6ZFvZKNDd3Y2hoSEEArV3mvrw0UhQIlPTNGSz2Zask25trs2F2GAwCF3Xy4qgVmALHWwTGcUNSoSxcd3qeJTE5Hke2WzWWGtJTU6FWaDEU6npr9K5UYNVJ6KZyW+zo5TVjMhoNGo0LDw0toSz15UXjrzshrdqnFir8Fpx3ylo5H5vYrmIW/aVRlq86/xeCDxnNHpYQdd1PDmZx68OlMaIvTS/cm4n9wdx1Wgcl26JIhHy9r7slNiUVzR89p5ZSEUdZ64L4Z3n9bj6fbboTYqraDQKSZKMON9qNc2GDRvQ3d3d8vPw4cMOoVAIIyMjmJiYQD6fb8l+1I1dsZXzTTgcNv6tEsdh95g0iiQUChlzdEm0IwhCmQuLGbquIxqNlnFTYIVjsOcXCAQMN81KOQ8q4nYimsmtJEkqU30TZwdKzlrUnEDNgeY8M9lWe7F/otxoOzRfNQPNmCnfbiA3iWaB5/ky9912QTsJ1vbO5vH5PXOYz6kICRze/Yo+XDnqTYGYdYOjhnvz2LZW3v+BQAAjIyOrRKEnMvzCeAehp6cHPT09mJ2dxfT0dEvOwWlyhBb4QqGASCRSNTnIgrVdB2AUF1gbFiIO1OVil8SkY4miaCRA6bUUCGRZdrRoNCuQX7+9Bw8eV41ff3axqsqyUeA4Dted1oXTkyHcdO8cpjMKPvqrKfz+eb34+rXD+MdHFvGbw1lkZA2JEI90QcOPnl3G45N53LAzia3JGBRFga7rqzZHZFdFCWsi8bRpKBaLniVk3DYFdDpkWT6hPm8r4GWH39/cNbPy58vra4RpF0VLTi4lKfOKjrOHwnjHuT2Wr5tYLuJnLyxj94EsCsdlT4MxAded3oVXbYsjYmO7Xk3N2WprolQqhXQ6jXg8jpGRkbboCPXhwwyO47B+/Xrouo4DBw60JHZwHOc4OUIJBVLLuNnsk2qHPiM1SNIxzZyTtZ8jyLJsuJOQCpyebdroUoLTKeft5KSQWe3UaND3YWc9L0kSwuEwPnzbUTw7ncf1Z/fgDy9cB0EQPJ+Z3Q7rbDNBSrh2abxrBhrZZPovjy9C1YEL1kdw3nDEtrlnIafgrkNZ7D6YxXhqhdP0hnlcMRrHlaMxz5zFrNCOTkRm6LqObz60gLGlInrCPD66K+laLW+3b2LzC62+9ycmJjA1NYXBwUH09fW19Fx8+LBDKBTC6OgoZFnGiy++2PT353kekUgEmUzG0espt0cODE7XdkVREI/HIUkSVFU1xjRSkzb9nXWsscohUiE/FAoZDZYAjHnloigiGo0aYwarxWRWjNKJoAJSs5qySFhhxWXJVp2+E3IFCIVCxugef8547WgHa+9motnFx04c09Us6LqOn7+QNrj4hoSIj186gC11jB4yQ1GUMlcPVVXLxg1b5RmaiWKxiMOHDxvu1J3cUOUV/MJ4B8Ip2fMKPM8bXZCAc6tmmsPiNihTEKHkpKqqZSoRNoiYi+JsMZ4WWzbZySqU3JKZZhGWbWWq8SV8ZJc3qnGatQm4U0Kckgzha9cM4+sPzuP+8Ry+89ginpnO4wMX9+PlGyP45sMLSBc0iBwg8BxempfxF7dN4r07BvHqkxK270XqLSLBiqIYyQlqhvCq0+1EI5u0SWu2epxV4HXyxqwSeJ73bCMkySqemy1dpw0JEeu76iMl7dDxp+s6vvrAPI4uK0hGBdy4KwnBlKTcO1vAT59fxgNHcqA79KS+IN50Rhd2boquer0Z7By1UChkrDNUrGqHjZau61i3bt0JF3t8dB6queU0AjRfO5vNOrYjVFXV6LZ2+4xTkx5ZyvE8bygWgsGgwRNp/WKTj5FIxOAmNDqDVRrxPG8UVdzy3U5XHlPcLRQKDS8cKYqCWCxme411XUcml8fRVGlN/cHTS0hJCt578QBCoRACgYAxXqneZJGmaR1rV1oLmt0EQaB9JM3na+baHggEGpKcf2pKwkNHJfAc8Efn9wIodyGSVR0PHslh98EMnpjMQzPR+Lec2YXfO6enKk/yApqmtb2q639fyuCuQ1nwHPCxSwZWOQw5BZuwpBwCjevRdb0tnvVgMIienp5Wn4YPH1WRTqeb/p5UuMxkMo7XKytbdKcgXsnO9SbbbTZXYNV0w65thUJhlRsOcWRyWnQKXdc7evQJjchsFr8idxC7e4VVlUciEUN0RXsHdrRnvY1k+Xy+o787t5AkqSW22uQCQGNWm4Vmf852vY9azSdzsoavHq9pAMAlm6N430X9iNqIcWoF23BJtbR8Po9AILDKZa5V0DQNiUTCL4ofh18Y70AEg0FbuzUvEQgEEAgEkM/ny8gJkQjaNFohFAq5Psd4PI5sNmuQDkIsVlIeswVygrkwQklN6sqhZCtLsMh61y2BaaYSl1Tj9xzO4W3bvVON0/flNsEVD/L4+CVJ3PpiBt95bAEPHZXw/lsnceMlA/jmtcP48gPzeHoqD0XVkQjySMsavnjPFB4az+DdF/ZY2vuxSVT6jljbe8C91aodnMyMWkvw6ro5Ac1oZTcFzZ5910y7R7ZJqF58klGLf7JOtTjQekULAPz4+WXcfyQHkQc+fukAesKlZ1/VdDw8IeEnzy9j7+xKY9WFGyJ40xldOGtdyFURmYrjrAtIOyQuCcFg0LDk8+GjnUF2gc2IH/RMmNd5nueNpKbdeVSyGrYCcdhcLmdsxIkLcBxnrJHsJl3TNHAcV5bYVFUVqqoaluuUuKKiNiVD3YKUPZ3OTUjx1Ax+TEosu4SPwOn4zhs24D2/OIbprIrbXspguaDhY5eurK/FYtGTc23XpFOjQE0QzVhn6X3o2QNg7DubAdr7eg1V0/HPjy4CAK45JWHs7TRNw97ZAnYfyGDPWBbZ4sq9dfpACINxAb85lMO6mNC0ojgAo2m5XbFvroB/enQBAPD75/XgrMHaORcVZKgBimJyqxOXLBKJRFs0wPrwUQ3NTLTTOET2WaX8IMdxtrGc8hdu1rRIJGI0adFxc7mc4UJkxS1IZQysOA+RM6IgCEasYc+1WsHWDnTd2yluuQXlgcPhsKcOklZwcmx2/8C6TbFro9XMd7fo5PnwtYLW3Wbsgeja0p6NRh00K4fYTAW327jWTLTSSv3QoozP3TOLY2kFIl9qTn3dKYmGiVjIIRdYyVG2m3DMb7ZcgV8Y70A0OoCziUu74jFrR06vJdRi48NxHIrFotF5SWpimj9dadEkhTgFHvoZUFpwY7FY2fnQe7GgxDAlPs2gjjar+UBmUDKWhdtu8219QVy0MYIHj3qrGifkcjnX6nGO4/C6UxM4fSCEz++ZxWRawcd+NYV3nNuDT18xgFv2ZfC9JxaRljWEBA5FTceewxnsnc3jI7vW4WUb40ZCGljprlRVdVUzhPlcvSCKJ5qlDKuq9Qo0foCSlbQRsLKfahaauYkQBMEzQpORVTx/XC2+sat+tXijErlu8OSkhH9/cgkA8KcX9OHUZAgFRcPug1ncvHcZx9Kl2CrywOVbY3jj6V112YC28/NMm2Yna4YPH60EOYw0CjTyptLMRk3TVjkDsVyslrVMFEWjgE2cjArvuq4btpdmbknrWzQaBYBV7kMcxxlrH8Gs/GbnErLFPRZUtHdSpLWaAVYsFtvG6pg+I43IaVTRWFEUg7tqmmaoPgAYewaOk/GP163HB2+bwqGlIu4dz+Evfz2F/3fFOuMaEp+vp+jXbMvPdgCpHby67wRBML5PapARRbHl17RR41h+fSCDw0tFxII8fvfsbsxkFdx7pIDb900Y/AgABmICrtgaxxWjMQwnRLz7F8cAAK8/ratpRXGgXMnebkjlVXx+zywUDdgxEsUbT++q+5hu1ZnNRjNEET58eIFGF7pIsWsW77CgXCA7m5sFO1PaKShPGAqFDH4pSZLBKey4dKFQQCAQMMQ+tL4QVyLeSwpy9t8IHMcZfMcuTrlxVmGt2wntFO9JadlooQflGWlvQNwdwCrVvt39Uo/zAItObpKtBY2YrU55eHL/ov2a1XfTLA5fqUGnEbAbM9sOaBXH+vWBDL718AJkVcdAVMDHLh3AqcnGC7natUGBkM1mmy5oa1f4GdsORCO7hd0u6hTkiXTSIuQ2KUbdQ6QY0nXdIKy0mAUCAaNozi5iRCZZ+2026JpnXLMJUVIBmROXrF18MBg0Pg8RJXbRZUkldRGaEypEZt0svtef3YMHj3qvGifUqh7f1hfE1147jG88NI97xnL41yeW8Mx0AR/c0Y9zh8P44r1zOLxU+vzRAIe5rIKP/fIY3nhGF95+Tg8Cwsr1cvreXtjttHOyo1FwmnSvBp7nLQuvdte0mde6mYUBL4vPn7qTmS1+hfPGl3axteQ4riypMJtV8IV756DpwFXbYrh4JIL/fHoJt+xLY7lQir/xII9rTonjdackara77CTkcjl0ddWfrPXho5FoJKckfuSGY7AFcuJMtWzwqQmSklwUqyjxSJ/bzEOIz9LPIpFIWUHCzCmBFdU0AKPZz/wa9n2i0ajBtWkNo+I38UpyYrGzWyM1TTuBrkMwGGxYMoDlgea1kOf5EmcvFPC1a4bwiV/P4NmZAp6aKuCD/zuFL712COLxZghKYtdTxG/nwmEjQNfKC4VPKBRCsVhcdZ/Y8fxmKfS9dAVikStq+P5TSwCAC9aHcdOeOTw9lTfGyYQEDjs3R3HlaAzbB8Pgj8fOh4/mcHRZQTTA4dXb4p6fF8VB8/fZins7GAwahYhKUDUdX7xvDrNZFesTIv7i4v4TYmwN2TX7qnEf7Y5GPo+Uq3S6F6YmQnIKqlbkrATWhZItLNO6EY1GEQ6HoWnaqtGPVFQvFApGToviLsU9tsmScl9m1yICiXros1ExjHKYZN8LrHwfxIt5nrdc59pNsUxNs41Wj1f6zGaxU6Vj1FvEp7ny7ZDnaRby+bxnzQ90HHZvVOlaNmucVTML1a0Ye2SGXc2jFefGiUF8dc8x3HGgtI8/f30YH96ZRJeFm+2JiFwuh76+vlafRlvAZ9YdiEZaHtS6EJMimmwn3UIQBOMYZFNDGz9JkhAKhYw5kKQCp8QhKfPI4pLUB6FQyAjApNoTRdGw36XZQGaQGoIItCzLxgJLSqFisYhcLmd8ZvbvVski6kCMRqOOFYSkGtcB/PCZJdfX1Cno+kSjUccbmWiQx0d2JfHeV/QhwAOPHpPw/tsmkZE1fOW1w3jzGV3gAOSKOiIiBx3AT55fxg23T+FIqnQt3ZKEepMBbPPEiQRZluvaoJKlLDWKOEGzOs8aaa3JcRxEUUQoFEI4HDaadrxARlaxd660YR7pEjEUr6yaplhGtpb0d1IlkhqzmWATAkVVx+fumcVyQcOm7gAEDvjDm4/hP59OYbmgYTAm4E8u6MW/vnED3nFu7wlRFAd8dY+PzgDP8+ju7m7IsdnGwlpQKBRcrT0sqFGT+KWu60aSkQqjVPwJBAKGAxIpgIAVi04qokYiEQSDwbJ1JxwOG6+z47/ERQOBgPGexHNZu0+WR2azWUiSZMuTyKItEom0VaFEVVUjoUuq+2aA1iO6X3iex+dfPYSLR0puUgcWi/jzn09CVkocncYj1YN2a0xoBorFYt0cj5qc3RTXO7nwqek6vvXQPJbyGjgAdx/O4anjRfHtgyF84OJ+fP+3N+JDO5I4ZyhiFMUB4Kd7lwEAV5+UQDRY/Tl3kuilWEYFHE3TjDgGlGJaqxLzTnIIP3wmhScm8wgJHD5x6QBiDq7LWoCu6y13hvLhwwkSiUTDik61rgVsYbpWXqkoilEAZfODJODhOA6yLBtiHzbnl8/nUSgUyhyAKDdIx2FHh5BoyC4mUj6SjkdckeI5uTGyPDKbza4aW8iCLNzbbeYsiaYikUhTc3luG1CpiF8P2u3aNwNeXLdais/N4DlWbhVegsRLoVCoYQV4J3tMcncIhULGvjkajRrPayuK4jOSjvf/fBx3HMiCA/B753Tjk5ev84viDPxc5QpOjOz0GkMmk2nIcevpEjQnCmsFOy+WPZ4sy4YNEVkQcRxnbN5VVTWSNWTLQkqQeDxuFAepgM6S10AgYHRd0ntR8pTOhaw4zcGDbP+cKJnZ1wQCAaPQXylp/Lbt3Q1VjRPourhRF3Mch6tPTuDUZAg37ZnF0WUFn7hjGr93Tg/eeV4PLtgQwZfvL3X0cwACAocDizI+cNsk3nVBL157svtzpKYJ9mfUIGFng8/CSwvITgHb3ewWtdqiNkvZ04j3oRmDNHu2EaT5bxi1+OevGUE0WopjbIwgm7hisbhqA8/+vRVFcSL5lJz4x0cX8OK8DJEHxlNFjB9vfjmpL4g3ndGFnZuiTbX/bBe0umPXhw8n0HUd6XTa8+OSK0+tqCf2sokIdu1jbbcBlDU90hxI1uGHkphkm0l8IxaLIZvNGnPIgVIsZq07aXQMx3HIZrOrkgKUcDPHCdaxqBooQUsuS3YqoFaATQ43IxaGw2HLz/6Xl63D1x+Yw68OZDGZUfBHP5vAP/zWBsSDvHH9gFJCmuWUtGeoVLwtFot1uxl1IiRJqlk1XkvijsYONANe8qmpdBG7D2Zxx4EM5nKlWKgDGIqLuHI0hstHYxiK2+/r9s8X8Mx0AQIH/NZpiarvR0ozuqfNIylob2xlP0xxjOO4ps38ZEFxrNqz9OiEhB8+kwIAvPcVfdjSe2IVEWgt8eGjnVGrUKYa6hmLFwgEai6IA+WFHfo/O+6RGjFZ1xGKxxRPqUmTclo0MpKKgtlsFoIgIJfLGQKdXC5nFL9YXknNkWwst1LMms+9Etj53tQ8ap6n3SrQuVFOthm5j1qaMAqFAkKhkLHfIPdT+q/aeZ9ofJJQa8MLjVRyu/dp1t6kUQ4AkUjEaJxpJF+jxp1wOAxVVSHLcpmTLsUucyM3m0Ol320m7h/P4asPzCNX1NAdKgn6zh2OVP/FEwzFYtGofZ3o8AvjHYjl5WXPj1nv4lAvOdE0zbCWpGAry7JByHRdRywWM5KUtPjRXBigtEBQ0wBt7GkOMlAq3hMhZs+XndNIm022OEx2f+aCMSlKnRIYOg9aJNj5iHZE/aT+EF6xMYKHGjRr3Awrkl0NW3uD+Mprh/Gthxdw16Es/v3JJTwznceHdybxjWvX49uPlH4uqzqiIoecouObDy3gkaMS/uLifnSHnXdtVSvam+8hM+rZEHUyaiGbtcaEdrPhcgMqbDSSKC9LKl44rhbf3BNEt6itKpaQBZsTIk3XmooiblVYtYAai/IFGf/82CJuf6kUd48L8XDhhgjedEYXzloX6miVV72QJAmqqjbNqsuHj1pgNf7FC9SThKy32KhpWtVCsaZphm06vRedL61jpHhnLdCJM1JjJsVb9n3MzUtmO3S79TUcDhuc1wnYJDGNHaJmqXZIZAIlnt6MBFSlteb9FyfRHRbw388tY1HS8K6bJ/DN1w2jPypWPC+e56tyGjf7gLUEt5+bEvu18ENBEJrWAFivlXquqOHesRzuPJjBszPl8a83LODGS/px1rqwI25EavFLNscwEKuesrEaPUHjBaz2sVageEduFqwSsVGgpDbt5+0wnVHwpfvmoAO45pQ4Lh/13lq+3eE3XProBDQiV1nvWltvMbVYLJZxQEI0GjXyj4IgQJZlxONx42cUT2msD5vfJK7KumZSnKZYTGN1iFeKomg0b9JaReurVXxww79YS3ZgRfjUDvbMBFVVjRxso3luLcU8GqtpB9o7VBpH6KZBdq2glu+ShGxu40IthfRa4fX3SIK+ZuZazTGPuKFVk6UVKKYFg0EjdjVq36RoOv7tiUXcvLfU8H/mYBgf2dmP5AniVlkLcrmcXxiHXxjvSCSTSRw7dszTY9YTnLxYvElZQp2QNK+c1Juk3tZ1vcyWiLrfqdOcfsaqhwVBKFP0AChLUrJEOZ/PG0lOSoaJorjq84VCoVXzg8xgO7rNiWeWYBLhpNlC5pmc12/vxkNHJewZa6xqnEDJCTcLbiTA40M7+nH2UBjffngBT0zm8f5bJ3HDziQ+vDOJV2yM4BsPLSAjaxC4kmLi4QkJ771lEh/Y0Y/z13vTwUVWpbTxMENV1Y4u3NaCWrqra90A2V33RsErshkMBo2iQqPxN79ZUYt/4ZoRAOUbgVptEulasPPIGoFwOIyldBZ3jxfwn0/OGyoongOuGo3jDacnsKnHJ1eEXC6HRKK60suHj1YhFAqVJfG8ANuIWAvqTYCySURa8ykZRTbQbNGc1jxKCpLtOrASW9nRPKTWocIpUG5zy1pcmtU8kiRZJmerNfYFAgEEAgFjNE8mkylbL9gCPfFiaswhlVKrbHipibWRa2y1ZoJ3nteLrpCA7z6+iIys4U9+dgxfv3YIG7rs1ytSKFVyzzkRrY1r4YhuR/IQ3DhZeYFamvlUTccz03nsPpjF/eM5FNTjahoAJ/cH8eK8DA7Ap65Yh9E+Z/xoJqtgz1jpGr/xjC5Hv0P7ZrY5UtO0mmfp0u81uijiZJ65fHxkT1rWcHJ/EH98/ok5EzGbzRruJT58tCv6+/sxOzvr6THJabFW1JufYItDxAmCwaDhzKdpmjHCh5wtdV0v426ktqTnl3hRLBYzOBqrNmbH7lBcZ68DFcmJk7IQBKHqNSMbdjqnXC5Xlh9lFfKUKyHxERWAm+0uAsBw/7SbZewVGjGmiBTkldbVE62hnu4rNwiFQmXqZbe/26xGD13XPeGxrKNlM50irZ7vWvf3FIM5jmtI88dcTsFNe+awd7Z03Ded3oU/vDAJaM1Vq3castlsQ0c1dwr8wngHwmsLrXqVObUs3lTIpv9YC0NarOhzUiKNzjOfzxtdgkTM2I52MzlkSQ2bBGX/nazNOY4zikqFQgGxWMyYG0TWnERCKwVzluyIoriKtJmvd6UOT1Y1/qNnUrhhV7L6Ba4TlFi1IhvUmGDu7OM4Dq/aFscp/UHctGcO46ki/u/uabxtezfeelY3ThsI4WsPzOOJydJ3ExY5LOZVfPLOGVx3WgLvPK8XQaH+jT4lo090sPes29+rlSw2araNHepNDLEk0y2oW5KeEyeW88uSihfnj6vFuwMYiAeRy3nb7UzjIRqxUczrIv7z4Sncsi+N5cIKUV6fEPHZq9YhGWve3K9OgV8Y99HuoGKwl4XxegvbbjfLgiAY3AyAob4BVj4fcTnim2yTJatqpnWFLSiz6wT9LqnFWY4KlNaVYrFYNleNfZ94PG7M06MxQKTytltDzA2T5n2AOcHAqtxZNLvIyMLus5GSiixFvT4+izee0YVEiMfXHphHQdXx3lsm8YXXDOHk/sozs8ly3eqa1jOuptNAyf9mNVsCtSm2moWJ5SJ2H8zgzoNZo0kQAEa6A7h8awyv3BLFTffOAQBetS1etShOlrs8z+O2J6eg6cDZgyFsc1hMB2A8S16ika4PTo/7T48uYP+CjK4Qj49fOoCAB/vFTgQ1LFRT1/vw0UrQODAvm+XrKQbVUoRhx/dRLpHWeeKcVAynz2nFzVjbYZr/TU2LdDx2nWMb3SnHEA6HDbtb4rR0DLJSpmtO8bQarw+FQqscMlmYFfZW3yUpyltRHCfubMW9aCRSvYryRhTGgRWOblfYPxH4JLCyPyOBnFvUUhSvt8GmFtQ7+pGukdvzZpu9Sbzk9ploBAenphov14gnJyX83b1zSBU0RAM8PnBxP3ZsioKHjuZHp85Cu7iBtBp+YbwD4bXVgSzLxgarlnnCboimXSGK5uYQsSI7SfazEgkl+xlztxdtrs1kwkqpQsVTSnqy88OJsFLCMxAIlKlGKClEC43Z9tJcHLQq3qmqWlUdxCbbSDV+z1gWb93e3XDVOFsUZwk4O2eICLi5Y3RzTxBffu0Qvv3IAn59IIv/fDqFZ2cK+MjOJD51xTrcsi+Nf3tiCXlFR4AHihrwsxfSeGoqjxt2JbHFA7VpJSJbz2zETgFtvmoh1qIo1rT5FMXKlqSNQK0dn9SNnc/na/p9Kq7QTDFgpTO70jX/67umjT9/6oqBhs1i93ru6bG0glteyuL2fSnIx5VQQYGDrOoYjIv48muHEQ82ZvPY6aB1xYePdobXzWSFQsFQLLtNRrpNYFLi0fw77KxFUuwQNyAeyfIwUu3QM0tJQiulNTtXElhp3GTnVbNNmmzxh9yRqIBF78mqvK1ciioVtAuFgqGeqfQ6nudbZonJcmHij4VCoWw+XjAYNJpJa1ESOFEPXbUtjkSQw2fumUNRAz58+xQ+fcW6qrPnKh23UWt5O8Fuhns1kN1iLWjFvVrtvsvIGvYczuLXBzPYN7fCseJBHpdv68IrN4dxSn+pePGbQ1nsm5MRETm8/dyeisdln/2crOG2fUsAgLec3e/43J3ML60VXh+X4jH7/do9R7sPZHD7SxlwAD68M4l1Dmzl1zLYMXI+fLQrqJjrFWi2NOvu6OZ33cAuR0f8VFVViKJoNKnQ52RtsEn4w+ZHYrEYZFleFU+tRhlSPoae9UAgYBS2KH7S6ylvSryW53lkMhnDuphmEbPXw1wgM39WijOVRvMUi0WEQiGjybOVIP5I3xsJqIjL1zJiqJHOHJX4qq7rbWVf3yjUKqippxm1Uc0OdqhVGS0IAkKhEBRFqfmz0r1v5VzmdN9Sa17Y6bHrXSM0XcePnknhP59OQQewrS+Ij12SxHCiVCs5EfZn9YLWDlYwcCLixP70HQpa5L20nzCrsp3C7cJkV8giYkXdUFSYZY9NBU06R1J0E0m0I8lW9kLmLkj2nPL5PKLRqEF8C4UCQqFQ2cxJOh+g/JoRYTe/vxlsp6BVMY3jOCNxGwwGcdqgiJdviODhidpV48Fg0CADlKiyu2ZEhOnzWH1n5vk4VGwsJYyL+PCuQZy7PoNvPDCLp6fyeN+tk/jEFevx1vMGce5QGF+8bw4HF0vfQVDgcHipiA/eNok/fFkvrjujx0jU15IgrbaA16oSbndQbKjVMrWe2YqBQKCpM02dbhgEQTD+4zgOhUKhbotfstllrxXN+iISan6PlKRi/0LpvtzaE0AyFmio7TxLNskVgxIDTgnx3tk8frYvh/sOp0GvPrkviGRMwANHJIQEDv/3sgG/KF4BkiQZCjAfPtoVZqVIvaDxN4D74pabZ4VG71g1oLAqRztlSS6XK7PjI1cgnucrWvSZi4SapiEejxt81MwxSCmeyWSMuEyNhdls1jhPq2vm9PqRfSeN+jHzIDYB5VXCjcYAkXtKJf5AzZ5AKS5a8QVWNUIOUqTA1zTNsFtkbRcpwcuOTNI0zVCgsw23dG/t3Cric0EBn/j1NFQd+KvdM/joJUns2hyzPPdAIFCRN+Tz+YZberYKlGyula/UyrfZpH8zwHGcbfFf1XQ8MZnH7oMZPHgkh+LxrRPPARdsjOGKLRG8fGO0zPUqr2j43hOLAIC3nNWN3oh9YYb2XJSU+uX+DHJFHRu7RJyzTjQKL9Xur3pHWFQCnR89t8Qp6Zly+h27dWo6uCjjmw8vAAB+9+xuz0ZvdTKy2Sz6+503TPjw0Qp4zSvZvIbb+dJuciI8z0NRFEv+R7kxtiDNxjJWOZ7L5Yw8HnFVK25mB1VVEQ6HjdFApM6m8xBF0eC1ZM/NFuGpkE5gc59ULGdhlRNknTatcgfEKymu1+tIRGIc2jebZxuzoMYEtqnM6jOxazo1ybLjMM28ktTmhUIB2WzW+J1isVjGKem6AFiVs3aCauKOtSzgIV5Z6z6k1nxjs92d6F5z+lpqmjaaJOvYp9F+y3ytqP7gVFzUyOYQM6dleaWT/H8qr+JL983h8eNutK85KY4/uaAXIXElj+AXxp0hm82iu7u71afRUviF8Q7FwMAAJiYmPH/YZVm2tdCuFUSWisWiUTiyCnRU6CYyZJXoJKsgsk+n10QiESOpQcohIjGUWGML7pTII+U4WV7S4kW/RzN1WBWOlYU4wVxwr7aYkKrIDDY5Q9/JH1w4iIcnDuOesSzetr0bG7sDRjGataQn0kZW2lZNBnSu9HtmKIpSkYxaweo7feXmCLb1DOOmPbM4vFTER287gt85qwu/e3YPvnT1MP7j6SX8+LllyKqOoADIKvCPjy7i0WN5fODifiORxJJSOidKXlNClr2O1Rb6tZa8ZDuQW2G/VE9B3S3oOXeThPOqAE33GtnN04aVtcBl59qy3cmfZNXiVw42vBOYihCUTGWfz0rvrWo6Hjoq4eYX0nh+ZmWDe+GGCN50Rhdysor/d3fJGvS9F/Vha68/T7wSWCWqDx/tilAohJ6eHiwtLXl+bLd80klijVWGsIVlM6ggbU5msaCEI/EhRVGMjTnHcUaxiazoiLetNAKWXpfNZg0uCpSPDCL1DhWtaQ6lk05883lXW/8KhcKqrm+y0GOvC6m22fWB1lfijVRcplFHlLSg5k3zedh9D9UKy1Zw0uAniuKq41pxESsl/cs2dePbb4riPTcfhqzq+PyeOby3CLz+jF6DWxKcJLObObOw0SDOnc/na7a4BOpzEmpmAysp3sz3zuElGXceyOKuQ1ks5lf2DZt7ArhyNI7Lt8ZsC943713GbE7FQEzAdafZj1Mh/kxxJhgK4xf7JgAAbzy9C/zxhhNylLBrbGzGzOlgMGjYkJr3iE6cuKLRaEWnJvPnysgaPnf3LGRVx/nrw3jr9hM7aUfw54z76AQQp2yE2tBNM77Tgi1xH0mSoKqqpViIGvTYJj8ryLIMURTLRtoR3yMRA7lSFotFo4GfQByTiljRaNQofBM3owI+sOImSrmJfD6/qsmUcl+U/2RRLSdh1SjArtE04oEaEFnxDRXhAKzilXSN6FytioF2eWNai9zwBCe5TfO1sPod4ojs6yjfzXJqc/MoG7Or8Sp2dOhaADU8EKeslVfWmj9rpKOOFdwos73OCUajUeO+DQQCq+axU/M6Ne3Y7c9q2bu5Ae2/6RzYZ62ak90LswV8fs8s5nIqQgKHd7+8D1duizfsXNc6crmcXxhv9Qn4qA09PT0QRRHj4+Oed5RVs2xkwXFc1c2wOblRKBQMG3Lz+1ARgef5spkYZmWOeWGjJB1QIhpUYC8Wi4atNBEWAGVFLdsC0XFSTN2GlNw0FwFZ4klKUiqUVbOIsZrnzHaisscdicNQjf/P3gxu2DVQcbGqRv7sFFReFhKB0qy9L109hH9+bBG3v5TBj55dxnMzBdywK4nfP68XF2yI4Cv3zWE6q4IDwHHAY8ckvPeWY/iLi/vx8o3Rss9CCXGrzlCnYBsnOhmUzKckdz2otdOXEl3NghvbJa/tf4LBoLHZNJNYthFFkqQyR4llWTPU4tv6QxjuaVxRnJplKj3/VvG6oGjYfTCLn72QxsTy8eYTHrhiaxxvOD2BTT1BHEsX8be/mQEAvPHMXly+1SegTpDNZv3CuI+2Bsdx2LBhAwKBAGZnZz09tptNdbVkI4HjOEunH6u4R2riUChkJD5JgUPHMnMJSkoGAgFkMhlDvUzxXdM0oxBKxWLifZU+L/ErWpvYmegs2L9TcZ616qwEqwSL1brJuv5QcrJQKNhee3aOph3sZhE3im85TY5bNUMWCgUMR4B/+K31eO+tk5CKGr7x4BxSUhFv3d7j+lw6nU8SKJnnxazqWpyE3ChZvIKiKMY9slxQcffhLHYfyGL/wsr93hXicdmWGK49sx8bIlrFouR8TsH/PLcMAPj988rVKyxYRZ8oihAEAbfvncNMVkFPmMfVp/UhEgoYe2Nq8KaGb7aRXVGUhiQwWSvaSkneSo0M1BBU7Ttlj63rOr56/xwmMwrWxQR8eGcSvF8IBlCKZ7Ise67I9eHDS4RCIYyOjmJsbMzzPIGbphBRFKtyEHPzHFmgW/EZVmxCamWe58vGClIuj13/yMkmEokgm82W8ToqLFPekbU6rxY7yY2IRD7EX83rN/2dcrcADEV7tdhsdb2t+AF7DVmxkt3xze6Tdq+xKhA3SlHtpJBJ36X5Z/Q52XGT9eRUWZeATgY9R9QwXCsqFXErgVxTm5WvdMthvRRs0bWmRmd25CvbiFIsFsscb1kxHYGNaV6CfT7s9px2Tly6ruPn+9L4l8cWoerAhoSIj186gC0WQp21PjrVS/ijH/3CeEcjHo9jdHQUCwsLZYWYeuHUxpKCPm3SKXiZ7SetFkAzoQRgKJ+pM5BmerMLIG2ugRXixxIP6pgsFAqGuoUSmaRyoQe/WqBkbXzoMxDJI1gFbJrZzhJgu4XFqnBXqZj3u2d34+EJCXceWMZvnx7HxjpnjdN1YW2hG6H+DYk8brhsA7YPzuMbD87j2ZkC3n/rJD68M4nz10fw99euxz89uoBfH8xC10vW6qmChk//ZhbXnhLHH7ysF+HjiSW2y9C84LtBpxfGzfcmzZWqNZnolpQRsWq2QsrNd+blhsLcRGI+LhVkKB4RZFnGjbceM/7+yVdWbmipFWblXyWwXcipvIpb9qVx64tpLBdKMSoe5HHNKXG87pQE+qIlmpBXNHz27llkizrOGAjhzy4aRLHQfHeCToRPNn10AjiOw+DgIMLhMNLpNLLZrCdrpKZpjsf0UMGbeAk1PbK/a5UYoYQUJTKp+EybYvZ3IpGIUZCmJkx6Rmm+NRWdKIlCjZEAjAI52bCTlbtVU6MZkiSVNaEVCgUIglD2e2Y7Z3L9oIRSpbXeKvFjNU7IDCfJSaeg68IWG9vZym4wLuKfrxvGu38xieWChu8/lUK6oOFdF/S5Og4pMzqZV7INFMQTyK7ULWrZS0QikYqK4kYgEAhAKsh4dELC7oMZPDIhQTm+XRM44MKNEVw5GscF6yMICBxCoep25d9/agl5RcepySAu3Ry1fZ3Vfu+nz5cK6teekoCuFpHLFQ27VgBVm2+8BMUZJ9+jXfyIRqOu7IMJP35+GQ8elSDywMcvHUBXyN2M4LWObDbrF8Z9tD0CgQC2bt2K2dlZo7nHCz7gJp6wCnCyM5dluSwvZzXWkOWM5BZE3BCAoVYmnkn5S7JEJpBDI+UV6fOzzS10fFmWy8Y5OsnrUAGJronVuDf2OOQGQ0pSyo/aFXGtRDROLKm9KkKSS5P5WjRqHfTiuCynpvuhluN2Mp8ksE1zTubWV0ItM8lbMauddX9w8lqv7mV2BBHtF1meab4vCW5dYusB7YGdfP/mBoOcrOHrD83j3rHSz3ZtiuL9F/UjajPS0S+MO0c+n4eqqq7u3bUGvzDe4QiHw1i/fj0AYGZmBgsLC3Unt5wGEFbpYg7oRLRYVY4Z1JlEswPpZywURSkjFJREZBOEQIn00sLHWnKwtuuqqpYp98yzxK1AAYLmNpsDRjgcLkuoEglkyaIgCLbz+axma1Qimif1h3DhhggemZDwo2dT+PBO97PGrc6B1FTUUNAI8HxJbXFSXxA37ZnFwcUiPnnnDH77zC783jk9+MCOJC7cGME3HlxAWtbAc4CmA7e+mMHT0wV8ZGcSo33l3WD0HTohPGQNSfdNp1teappWlmBnleNuE5m1kEYviZxTuFWAe5mMZ59VikNWMD/rC5KKg4vH1eJ9AfRVmDNZK8hOzQ35m5GAHzw+j90Hs5DV0nUajAl4yzlJXDYSRCRQ7oTx9w/O4/BSEb1hAR+9JImAwKHzt2vNAamsfNtLH52A7u5udHd3Q1VVHDt2DKlUqu5jOp1RTJzObGvMWnwD9uNSKC6zm3/ib+yx6Oc0Q5B12qBCjizLhuKVEjnU/ESgxjzipJRgrMTjyL2IODKN9GHXckIsFjM4JvuZ2UQmC6vCbC2JpHpB9nhkG++lCxELrxIePWER37luA959yzHM5VTc/EIaqYKKD+8csP0dUvKze51OT2LSHoBtuFQUxbAHbfTn83qUVzUcXJDxm/Fl7H4phVRh5V7a1hfElaMxXLYlhu5wOWerxnv3zxew+0Dpmf3j8/ts133zfi+Xy+G5WRn7F2QEBQ7XnLJiv95MVyaC27hB8ZLuEZ7nDSUim4CtBHqen57K49+fXAIA/OkFfTi53y8Am5HNZtHX5655x4ePVkAQBAwNDQEAlpeXjSJ5PSBL8mocgFUam+2b2bxQJdCYQjYPwNr8Uj6G5/mysX/U0JTP5w2RDDvbm7VaptwlUFoLYrGYoaa0c0Mi0BpNTpuUr2QL9lax3MpO3YqrWa1hzR5JSDkuylfZ2avXCyvBU70gju8EtG7Sd9eKtd9rmO8fdjSMG45hbiJ2imbnKgF3z0cgEPDsnjM795CNv9XrWsUr3XyHbE3r8KKMz+2Zw8RyESIP/OHLevFbpyYq5tb8vJs75HI5JBL2o5/WOvzC+BrCunXrEIvFcOjQobqO48UCYj4GqcFp1jglF8kuiNTdwEqRh/0zu2BQ8pLIrqqqZclD6gZlE5SBQMAgh/Q6dvGwWpwp4UVWSGT7Yad+IptlsgIlUlppTiIpmViLk2qJp989uxuPTEi4+3Bp1viGrvpU48CKRaY5gdwIbOgK4ItXD+O7jy3i1hfT+J/nStbqN+5KYuemGE5LhvC1B+bx+GTpmok8cCRVxIdun8Q7zu3FG05PlNnpsdfLSkFO31kju+GI8JqTel6TDupaZmc3mVFLIrOWZ74Vc9rdKsDNhIisKt1+XisCaff5zd/LJ3evzBb/9OWDrt7XKdzM4tw7m8dPnl/Gg0ck0J16ajKMN5wex46RKOKx6CrSesu+NO4+nAPPAR+9NIn+qOh3YLoAjeNgVV8+fLQ7BEHAyMgIRFHE/Px8Xceql1dY2a1R0yE7N464Js0Ip6KlOYlmjpfE9Ug9TlbFFPdJJURJT/o8oVDIsKNjE7D0/uYZvGyyi+Yak9sH/R7bdMXObARWik9217RQKJTxWSdq8UaBnbHZqHPwkq9Ggzz+6fXr8f7bJnF0WcFdh3JYLkzjC9duWXXv0TVuZMKNGjQI1PDr9dpLTR00IsAqcUXfn9NEZquSbk6wKKn4zaEsdh/M4PDSyvPZE+Zx+dY4rhyNWVoyEthiDLt3Jbe07zy2CB3AZVuiOG3AvqBr1cTy42eXAABXjK4U5FuleKnlPekzkXMS3QNO9iEUL+dzCr5w7yw0vXQdrj7ZH9ljhU5v7vZxYqKrqwuxWAwHDhyou2GO8m6VUKkwYpcXolGLlBdjORnrRMTCXMSk9yUeRMIcykFSPocK86QUp//T68y/Y16byeWIXaOJA7MzytkiOYlKABhFdDpXK5gL0a1c31mnpkbwr0YV0sgmn3WzMjthkVtUo64tK/QCVpywvF5LKF9OzxcVws1usuwoKiefudYRO41odqj2fvXcm9R0a65/OIHV+1pxOafuwF6ilsYGcgP+370L+NbDCyioOgaiAv76qo3Y2lX99zvdxavZyGazfmHcx9oBWTzWkyyizkUvFR5EqGhBI4JG3ZW5XM4I/lRYBkoBngp8ZlsiNvFH9uWKohifnWa3UdIiGLS3v6PkIxWq6b3ZubCsIpfjOENBRJ+HrIzMqh47ZSnN+GEtTZwsGCczqvEfPuONahxYUf6z179RCAoc/vzlfdg+GMLXH5zH3tmStfoHdvTjFRuj+NQV63Drixn8y+OLkFUdIgcoGvAvjy/isWMSPrijH8njFs/UiUkbA5awky1jo4v9Vjak7EbEC1jZYlVCPp837tNK91WtFkOKojSVbNaieqNZ4IqiGLZN1D3JNulUAjXIOAV7r81lizh0PPF6Ul8A3R6qxanTXVXVqtdF1XQ8dFTCT/cuY+/sSgy8aFMMbzqjG6f3i0bcM9/Hz8/k8Z3HFgEAf/SyXpy1rtQE0ooO3E5GNpv1C+M+OhJOlQ6V4HRj6mazTo2ErOMQOTNQkaVYLJbNUwRQxh2peE422Oy/kY0lFb7pZ+y4DDYBQspysu0URdFIQpFKyBxfaU2KRCLGmkQgTlssFsvW2UqFZnOTVCvU4izYz+f1iJ5GICjy+NbrhnHjr2bwwlwBjx3L490/PYgvvmbIWCObYctolwD0+r3Z41HStBJY9a/dM81xXM28t1F8sqjqeOhoDrsPZvHYMQnacZoW4Dm8YmMEV47G8LL1EQh89aQ4jdSiZ5Od0fjgUQnPzhQQFDi887xe22Ow+0fC0VQRD0+UnpE3nLaS8Wum4oWKQLIs18TxaA/JPutO8wmhUAjpbA437ZnDUl7Dlp4A3v1ye8X9iQ6691gHEx8+OgE0KqfePKMTvuimmZ6K1MSv2NhDrke0Rpl5MZsn4Hne4H6aphnnQOMiCbquQxRFQwlNYK8La9XOqsfpfHO53KpCNcXfSCSCeDyObDZbNnOc5bqEStzC/G+tHo3TSHeeRq43dA9Rbpi+Z2rybTRHtuOVXjc6sLlwek7M+xgC665QiduS+0wtcOpY5gWIH7vhsuQ6RrFCUZSyMQ6VBHYE81iwdgE1fAC15Q0LioZvPjyN/32xNGLoZcNhfHhnEsN9zvZCrY5VnYZ2u3+aDb8wvsYgiiJOPfVULC4uYmFhoWbi4GQRcZP4MM8Uoc5KKuLT7HArC0oilKQCp+Ox58EWldkFlqyLKEkaj8eRy+WM96dOIju7GrNag8DOp6TXUTKACD+pxe0Ct7lQ76arqRGq8VZg12ayVp/DSwsy/t9vZvGG0xN457m9eN2pCZwzFMaX7pvD/oXSvchzwFNTebzvlkm876J+7Ni00vFKoCYJdgZoI4t4dt+bqqqeJYOtml1oM1QJrA2XlUKuHqIJWM/kagRqSQaLoohMJmP5bzSPFlhJBJKdGQCjYYfUdmaLSCtQQwl7r/3NXbPGnz/lgVqcCi2yLDsq6hcUDbsPZnHz3mUcS5fiqMgDV2yN4w2nJ7CpZ3VCjT3moqTi83vmoOrApZujeP1ppS7CRj9TaxFzc3OIx+NNaTzy4cNL9Pb2IhKJYGFhAYuLizVtNMl1p1qS0k1SitZ6it3UXU/nxyYQ2bhGCVlSygQCgVVOM1ZjWihxYeYb7OvMIzeswCZJCWR/aX4dNXsGAoFVo4bMsEo0t0ucblRyohHH5XkeX7x6CJ++ew4PH8li35yM99wyhX94wyYEBM5ormukiteuGc8qCV4rzElSarKrtkaRha3VeYTDYSiKUnMS0ux4UA90XceL8zLuPJjB3YdzyMgr39epyRBec0o3Lt4QRMLF7OpK55bLy/j2AyWHoLds78NIX6zs+aPGA1mWIUnSqoLmzS+UEn+v2BjBxu6A8X6apjW0AZVNWtYbL8wjMADnszY5jsO/Pr6I52cLiAY4fPzSAYTF5quaOglHjx7F5s2bT+iZkD46E5s2bcLy8jIWFhZqjvdOit5uOAK5XdDaRoIRNgdDBW/z/pvlrsQNzLGQxDWss1AwGDTyo6yQhxTFuq6XNTiy16pSDoDyk4qirHKmzGaz4DjOcEZiFedmmNe8dnaD8QKNLIyzVvDAyvpOxfJGw+5+cTqWwAnM94tVk4kViNvKsrzqPGjkQK3I5/NNcd4hBzG370P5aivQ5yYxjHn8K6nzJUkyBBiV4qkoisaIsEaC7u18Pl/zdzeZLuJz95RGr3Io1T7eur0bvAsBaLvsgTsFkiRhfn4e/f39rT6VlsAvjK9BiKKIgYEBJBIJ7N+/v6ZjOAk4bgO/OREQDAaNTklz4CIVDy0CVOik8zInAFlCQd1VpOQhZXo0GkUmkykjdXbFLupwsvqMpNahghrZXLKdmBzHVUwOmQumdB2colGqccC7mY1OMZQI4AuvGcK/PrGIn7+Qxs1709g7W8CNuwYw0h3A371mCD98Zgn//dwyNL1U2EvLGj57zyxefVIcf3x+L4CV+4e6agnkOtAoIl+pYCpJkifvbaf6cqquo2Qn20VcKBTqLmpLkmSQLFVVG9KRWavizSnxo9hD4xZUVTXmhQIrtmn0Z3ICoI2xqqplsYYwly0aNp0n99enFifim8vlDHuqSkjlVdyyL41bX0xj+fjczHiQx7WnxPG6U7vQa3MubFxVNB2f3zOLBUnFpu4A3ndRv7Gx8ZNw7qGqKg4fPowtW7b4xXEfHYdwOIz169dDFEXMzMzUdAwnMdlNUso8cxAorRe0GTevGyyvJLU42bBTQY+NreyfSc1DTZik+iFlBJ2DLMu2az7Lec3nlc/nDUtMRVFW2VyyM3qt1kP6XXYNaoay2SkaZdvXSDXAX1+WxJfu03HXoRzGUzLe+d+H8K3XrUc0uNI416iCZaXjepHEpGS4FZwcl54xusfInciL+414jtt9EWEupxy3Ss/iSGrlGe6PCrh8awyvOaUHI93uE4PsaAUr/GJfGpMZBb1hAW84NWoU+alxh3X3ofEJ0WjpdZIm4M6DJaXGG08vqcUb/fyS8p2cthr1LDmN6XftT+FnL6QBAB/ckezYhu9mIpfLYWxsDFu2bGmJNaoPH7WC53n09PSgp6cHL730Uk0FDHLyqRa7nDRlsscEynM7rJCFPU/ilORcGQ6HwXGcwSvNuUr275Q7oRwlFcZJOUx5TFVVK16bcDhsuScn96BoNGrwQypWcRxn5DKIB1it+1ZrersoMEks1YqxfvWAvZ7mPzdyza80qtMrIY/dWD+nfJUEa6yLlxdW7/SMUe6lEYKeWh1KnV53VgxDOVxWYU6NLiQIUxTFKNTzPG80+Dh1p60VNA7CXMB3i/vHc/jqA3PIFXV0hXjcuCuJc4dXcmdO4nk97lUnMiYnJwHghCyO+4XxNQye58tm07gBkbDu7m5EIhEsLy97Qo7ILoTUMTT7xhw8NU0zZnmbC50ElkBYWQgR8SOLGnotJUGpi8lqwSYyKAiCsWhpmmYokIhg0PHJvpMWcUpuWl2jWCxmXAc2SeI2SXP99saoxs3dsc1AQODwJxf0YftgGF99YB775mS8/7ZJfODiflw8EsXbz+3F+esj+NL985jOrFynX+3P4NnpPG7YmcQpSXsLyEZ2xlVbdOtNYlYiym6+I2pMCQQCnlqlsFapXqPWTUIoFHJN/Mga3gyyzqXzYO8ltshibgr45J2MWvyVtanFSWGUy+WM97Wa1USYWC7i5r3L2H0wC1kt/ftgTMAbTu/CVdviiAQqJ87Yz/+vjy/iuZmScucvLxso+91Gd5quVVBxfOvWrZ7YU/vw0WyEw+GaZ3ZRgWR4eBjFYhHpdNqTbm7iZsQp7Z4t4pVW89/Icp24obm4zdpN03/s+uQkSUcJHlEUDZVIIBBAMBhENps1eCAVOMhmkxot7ebwUUKEeDWtfe3UKd+o5ESjeeqHdw6gO7SAm19IYy6n4l0/m8A//NYwutG4wmW1+YT1JjHpPrc7dzcFNmq6dDLSxQ1kWS5zhKiGgqLhwSMSfn0wg6em8oZVelDgcPFIBFdti+PswTAEnqs5flW6Zqm8ih89swQAePu5PQZfsro/2RhDx/ufp+chqzpO7gvi3A3xhivEzdacjVTJOXn2j6aK+OKeKQDAm8/owsUj/tgZp6Di+ObNm/3iuI+ORCwWM9TRbkFNRoODg0in08hkMqtijtvngvJ5xL/sipbEKWmMpRU/Y1WkrBsnO4KP1KDmEYu0/7db86lZi8Q/uVzOWJMpptMoSsqn0nGJK9rlp+gzUd6TzZ22CxrhWtjK0R3UFNgIkUm1PHO9Qp5KvIpy5E6eb8qZxmIx5HI5zzg+1RKoIdrLvUMtOUdCrfk0q7qFee/HxityemyUpTwVxM2jvFznYjUd33tiCT/dW3JQOn0ghI/uSiIZWylZUuNRNdAe2s9ZuseJWhz3C+NrGMFgEFu3bi2zLA8EAjh27BhSqdSq11MhmS3oxuNx9Pb2IplMQlEUZDIZLC8vI5PJ1BRorOx/KxGbSt1XRP7y+bwlqSNrTXNgVlXVUOCw3VNEblnbOlVVDZJEnVlUGKeFkMgjvY5VLpk/VzQaNYqSVEisVRVxSnJFNf6jZ1P40A7vVOOt6gi9eCSKbb1B3HTvLPbNyfjM3bP4rVMT+MOX9eKMdWH8/bXD+OdHF3DHgdI1FDjgWFrBR345hf9zTg/efEaX5YzARiWZ7DZC5veuhRxQ0bUS2GfbCdhkI3sv0+ypemY20RgB6kLmeb7MntwtrGZgOUWtTTvs/HE6RrUENd1bdA11XcdMRsbYcaXSqf1BdNWgFqd5uVYNSeYN+t7ZPH7y/DIePCKBPvnJfUG86cwu7BiJOpqbCaxsCO8+nDWUOx+yUO7Ismx0u3fC3Nh2gqqqmJ2dxcjISKtPxYcP1+jq6kIikTCScZTIe+mllyzXWTYuEnp7e8HzPIaGhlAoFJBOpy2bL53CvAZXss0LhUK2azYVi6jIbgX6jGwBmt6TErQ0X5K1wZRl2XhfspUnTknrPGt5SU4k9J6keDCv98Rhs9ms4dwCtJdaHGhcsrEZXPVdF/QhEeLx/adSWC5oeNfNx/CN163Hlkhj3ttJsleSpJp4JTkjeMmJqVkvGo0a9zhxQbu5km6OzTaj0M+A0ne/d7aA3Qez2DOWRa648n2cMRDClaMx7NocQyy4UhSp9bmoNnboP59eQraoY7Q3gCtHY2XnT8lmtlhB5w+Uivq37ivxrTec0WXsrc1OT17A7njk/tSIBGK1Y0rFkgOYVNRw9lAEf/yKQSjF5swDXSvIZrPIZDLo6uqq/mIfPtoM69evx7p164wCMnGaiYkJy9ezsYrcSnp7e9Hb2wtN05DNZg1eyTYbOoXV3rtSg0+lZrZCoWCoYO34CuVezIIatiBPeRU6D3IVovGQbJyVJMnglWSdTmpxcryj87XiG+y4IbJ5p+uy1tHKwjjQWnelWoU85Hxjx/XoPnLKZegZppECtKej/GI9Tb/0DJCQjdwa6sl/1vpc1MpHif+z+0JygrA7F7pmmqZ53uBi5xbl9j6ayyn4wp45PD9bOtc3nt6Fd57XA9GUwwwEAo4L/OTAZlcr8mGPqakpI19zosAvjJ8AMKtnRkZGjBlnLLq6urBx40YUi0Wj65CIF1AiV2R7RIvW4uIilpeXaz63aotCtQSRJEkYGBjA3Nyc64WJCuOsepZVg1PxkDox8/m8YZ3O2mdaqW/JZtPus7IEoRa1OIFU4785lMVbz/JONd7KpOq6uIjPv2oI//5kqWPsF/tK1uofvSSJ4UQAf3FxEi/fGMXfPziP5YIGDoCqA//+5BIePybhQzuTWBcrD23UNUYJZ68QDocdET0iL0TyqpEwssmhJL0d3JJNAvt6tmuZ7ttaSSdbKAZWlGy1HI8cGdx+X/Xeu/Rsm8+l2nHZ4k+ZWvzKda7PgRptKsUFVdPx0FEJP3l+GS/MrVzfCzdE8KYzunDWupDrDZ6u6zi8JOPrD8wDAH7nrC5cZKPcofuGtX7z4QyJRKLVp+DDR82gRCSLbdu24cUXX1z12g0bNiCRSBijO6LRaNkmKxQKIRQKlTVfkk1zrefG2l6a4WSGcbFYRFdXV8WYZnV+1ATHWv9RHKdmTLK0pD/rug5N0wzVLTXEZTKZVcenBCUlBNjPSpactPFvJ7U4AEsVvhegcUuNxlu396ArxOObDy9CUnT8+S8m8OWrh3H6+u6WrX0cxxljVijRbZf4MVudV+IGlVRkdjAXEthGS9b2sRaYeeV8XscdL6Ww+2AWk+kVjrQuJuDK0TiuGI1hOGG9F6r1HColhsaXZPzvS6Xn9V3n961qRCR7UKv7JBAI4PaXFpAqaBiICdi1qXFK6Wr7lUYkv6rxWF3X8Y2H5jGeKqIvIuAjO/uhFMubd31UB8dxiMVi1V/ow0ebQhRFiOJK7oZyY9PT02Wv43kep5xyiqEAZYvA9O+JRAKJRALDw8PI5/NIp9OWs4udglTfdqD8oF2+olgsoru7u+Ix7PiRrutGQxudPzWJUfOUruvged7glyzPzGazBr+04krmhku67ub8Uq25nEaiFY1cjQbln73klU5EPACMe4YaOSqNBAVQZnXONuZ6Bfa92f0NO16wFpBjF4t6coesE4RTCIJQ13dMsYR9JlmXWzt43dxS6bq5eZaenJTwd/fOIVXQEA1w+MDFSeyw4cNuxznSuCd2tJGP6ojH4ydUURzwC+MnLNavX4/x8fEyktbd3W0k2oLBIHp6emx/nyWe+Xwehw4dqruAlUwmEY/HUSwWkclkkEqlDPtnuwWnv78fg4ODiEajGB8ftwx2ZiJHXZsUKFlQxxUR7lAoVJagJAV7NBo1Nu4ESlLRNbWb9cj+2aoI5wanJEO4YH0Ejx7zVjXeCKskNxZBAYHDH53fi+2DIXzl/nnsX5DxF7dN4v0X9WPX5hguHonitGQIX31gDo8dK50rzwHPzhTwvluO4T2v6MelW8qTBNQ15mXB3+k9T0lG9roSsQNWiAr93w1ZomR8LbNtzCAbfa+snMg+qVaQjZhTVJsB6QTmjSs1MlQjB9TBOJWRcWS5FBdOTwYRD7pXi1dSNeYVDXc8t4D/enreSAqLPHDF1jjeeEYXRrprb45Zyubx2btnUVB1nDsUxv85u6fq71CTRyUrOR/l8AvjPtYagsEg1q9fj2PHjhk/43ke8XjcsG6uNj6Ami+7u7uxuLhYdiwnIFUpy/m2bNkCXddRLBYxPz/vyEpu48aNRkPa/Pz8qn+3SmDS/HTq5CeQvTkAQz0rCEKZcxCt9zSfkj1/Oi4dh03A0DpB3JOO025qcQBG4tZrNFMB8NpTupAICbhpzxxkFfiL2ybx2as0nDfS5Zk9oRsXFnK5YfchNJub/h2AMerFXLiuBHLP8iIRTnupWq1ygZKq+P4jOew+kMHT0yvnFBY57NwUxZWjcZw1GAJfhW/W0qBRLdH43ccXoenARSMRnD1kHeNYXknPgaZpKMgybj5uGfn6U1c7XnmlXqumsLEaB+QFKjUpAcCtL2Zw9+EceA746CVJ9EbKXQGoGajVxYp2RywWc50s9uGj3dHX12e4IRASiYSh9KQ8pB2oISwSiaCvrw8TExNIp9OuziEcDqNQKBhrVzgcxtDQkNGkODs7a4zzseNdxI81TcOhQ4csY60VP2KLZyx/ZnNPlCdl1zTKhYiiaDjgmXklW1ijIigVN8n2nf2dViuprdAIe/dG5ArdgEZxegk7Ra8VrHJglN+hZ4BGR7FFxmr8nhqjZVmu+/MR722XvU4tI0jd5jfNMF9DjuPKXG4rwasGhnrFjQCg6Tr+69kU/uOpFHQAW3sD+PilA1hv09wK1BaL2PG99V77EwUnogORXxg/QRGJRDA6Oorx8XFDHRCPx2s6VjabdR1kaZEmO95AIIC+vj6jUNjT04NYLIZMJlMW6FmSFo/HMThYmt2bSCSwadOmVcVxM2EKh8NG1yhZqZCah5KZqqoiHA4bVtBk2USLHiUgiXDTZrRYLJZZs5CFHqseAlYKxGRdX29wvv7sbjx6zFvVONnK15PIsjtuLBZDoVBwRIxevjGKr18bxN/dW7JW+fyeOVwznce7zu9Db0TA31y+Dv/7UgbffWwRBVUHzwHZoo4v3DuHR49J+LML+hBlbBRrUcLYwQ0Zt1rEzQlNO1S7/rTBCgQCRqK0HjQqgV0LqAuViDo77sEKlWZAukUoFCrboFRLEFPB4m8Ytfgnr3CvFrdLwqbyKm7Zl8atL6axXCjdv/Egj2tPieN1p3YZCcVaoQP4u3umcSytYCAm4CO7ko4t2IGV6xMOhy27cX2UMDg46CcwfaxJEIcbHx+Hpmno6uqqeS1ZWlpy9XoqBsqyjGAwiEAggEgkUsZrE4kEFhcXkc/nDW5jHiEyPDxsKO+GhoYArC6Omz+TudmRXe9JqUMjOohLmkGd7MQrabYlFRWBldE+oVCojDuSrTtZtrebqodgN6ezHlBilJqyGq0E2LU5hniQx1/fOQNVBz52xzQ+/SoB5w1649bENtdWg9XraFxOJVACrRLYwqQXyqVCoeD6WJqu49npAnYfzOC+8Rzyysp3e/ZQGFeOxrBjJGrM83Z8XBP/p7EGVvuCarMMHzsm4bFjeYg88Icv66363uz9r2kaHpuQcHRZQTTA4TUnrd6De5HApGbwSvueagXset7bDi/MFvCdxxYAlK7dmetWNxWwzT6+FaY1aCyJDx9rDYIgYPPmzZiamjJ4WHd3d03HUlXV0uGxEkh0AMDglb29vWW8MhaLIZVKQdM0I4fJqrtFUcTIyIjRuLl161YcPnx4Vbw1F7bJDYfG5RDvpEIlsDKb3OyERDyI8hKiKBrNntQoSr9LzWKkeKc1h3XMVBSlbZveqTHfy/Url8shFouVOTQ1E16qxs3NtpVgJYohoVg1ONnr0f3pVTMDjRhoNS9QVXXV3qbSaBovC7MUD+g7qnZcGnFUL5zkW6sVsFN5FV++f0Xg9uptcfzphb0IiZXvpXq+b1VVy+pPvtulNSKRSM1rbSfDL4yfwCCCJ0kSuru7a0pgZrNZTE5OWv4bJfDMi18ikUA4HMaGDRuMLjSr3+3r60NfX1/Zz9PpNI4ePYpkMolkMln2u4lEAps3b8bY2FgZKYxGo0Zikg2ApA4nEkiFbPNsX0qa0GJCtpesypctsrPXkZK0lOSkxYiIqheE61RGNf5fz6bwQY9U44VCoSEz56hbkJK77FwaSh4DMJIgAzERn33VIP7jqSX893PLuO3FDF6YLeCjlwxgQ1cA15ySwNmDYXzpvjm8tLByPe88mMVzMwXcsDOJ0wdKmwiyhvKCkLi1mawF5nu2EmgMAG1+6pmZU80WzA3qvX/YueXUGW11zHpmkptRS/K+WCxiKiPjaA1qcYoR5rm1ADCxXMTNe5ex+2AWslq6jwZjAt5weheu2hZ3nRS2w09fyOLBoxJEHvjEpQPoDtdWvKV477UV2FpAT08Pkklv4rMPH+2IeDyOSCSCbDZb86ZqamqqovLGPE+RLYJ3dXWV2XGyCAQCWLeuvFlJ13VMT08jlUphZGSkbHQJx3EYGhoCx3GYm5sr+zk73409V6s1k3gNuybTGkMcVlEUw4adxnJQgyLZGyqKYhQYc7ncquQSKTLauRO+UcpPtpALoKxIHggEjPvGizXp3OEIvnT1EG785RSKGvBXdxzDh3YmccXW+qyM3Y4kqfVaOh0BBKCswReonnSrBKc8eDJdxO6DWdx5MIOZ7MrzNBwXceW2GF5zai96g7U3QMiybDznZC9rl6ittF9QNR3ffWwRAPC6UxMVFS6s5SiLnxxXi199UqKsiReoz7qWnJ9o31ptL9DsZr1UXsXn98xC0YCdm6K47rTKLjrUJOtVUnctYWRkpKobiw8fnQqO4zAwMID5+XkIglCTiEfTNBw5csQ2b2O1X43FYhBFEQMDAxUtZePx+KpzkmUZ4+PjEAQBIyMjZZw0EAhg69atOHTokBHfQ6GQMfubuB/9m67rkGXZ4JassyUVdkgRToVN+pw0wo+ao4hfkn06IZfLIR6PG2sj27yVy+Usx0O2C1RVbcj50XWnBgKzrTg1E8iy3JA1yasmTzc5z2bxAHZMZD2jswBvBTH1gJqYiaM0w+WGmqHd7BvqKcqzI0GdvGela7BvroDP3zOL2ZyKoMDh3S/vw1XbnMV2L65tu7kOtBMCgQA2bdrUNiK5ZsIvjJ/goPmOtSYwZ2dnV/0sGAyir68Pvb29yOfzGB8fRzQaxfDwMICV2d61IJFI4NRTT61IULds2YKxsTF0d3cjFovh6NGjZd1ULIrFoqEEj8ViZQVxUuDSAs6SUuo2IpUBFZBZOyNa9El1bibkdE5ekB9Sjd91KIu3bu+umKBxA6fnxhbQaeEEVopkVlZO7J9ZZT0p6smyvlgsAsUi3nleL846XgA/uFjEB26bxHtf0Y/LtsawsTuAv7t6CD98JoX/ejYFTS9Zq09nFHz0V1N42/ZuvPWsblcK2Epw2+1YK2l2S/hYFbpx7WoEzaiqB6zau1aYr7MdIfIiYcbzfE0uDrSp/uRu52pxKoJIkmSp8to7m8dPnl/Gg0ck0FN4cl8Q1583gPMHBc/uZQB4YlLCvz1WKvz8+YV9OLm//k1mJxRp/n/23jtOsrLMHj+VY+c005MzE8g5DCDJQFCM4Krrrq5hDayKgV3dr7vqYgTFHHDDT9c1AQYQkAFhyEgawgRmevJ0T+dQOdz6/VFzbj319nsrdXWAuefzmU9PV1fd8N5b9z3veZ7nPDOJYDCI7u7uOWlHZ8NGPREKhZDNZmsSMLPZrNa+vKGhAa2trQiHw+jr60MkEjFt15k8VQsY/O7s7NTySofDga6uLjgcDgwNDaG7uxsTExMYGxuzfL5Ja0GKmHwf5womeRGcA7hNWbkhg+gUObl99Vjr3eOv3qjm+Sd5Je3v1OSCVCo1KTmA+2FrJtqgZjIZs4XNVKtPV7X58J3L5uOaO/qQyORww0ODGItnceW62q3nrJL+dJhK0LTa85bjO5X9lkoEjqUMbN4bxaaeKF4cKGw/6HFg45IQLlwewtoO35E+gVNPblU/r/vuu93ukvu5a2cE+8bSaPQ5cdWxzZbvU614iZ1DSTx3OAmXA7hcCQw7nc6qv8v8jgD586vmOk3Xc0O3hswaOXztwUEMxrJY2OjGNWe0VfRcYEujudjrdrYwb948uzWPjVc82DuX6+ZqMTY2NklLcDgcaG5uRltbG3w+H7Zv3w6Px4OOjg6zOrxWXun1erF8+XI4HA7ts83tdpuV47lcDgsXLsSuXbvMc9U9j2lLLNtLMNjNZDceLz+vVuhKzkqrdLZNyWazWmcRJnW+EiDbmACFintqsZIfcpwk5/R4POb8w/FkdTf14rmEaqrF+f5aUEu/bI7vXAm+1cNtUx1rXXFZvXSxWrZTSxIBvyP8HlR6jzudTi3nz+Vy+OP2Cdz81AgyBtDd4MZ153ZgWYtXsxU96pl0wCRzmVB0NMPpdGLx4sXweOoTR3q5wQ6MH+UIhUJYtWpVzZ9vbm4usucJhUIIhULm5BoMBnHMMcfUNRhQbhLlOckKUquKAFqoG4aBaDQKn89nvo9CGgO26n7dbjcSiYQ5YaiiJLMypW08szb9fj+i0Wjdqipl1fgvn6tf1XglgXGv14t0Om1O0k6nsygTi9X2VhZWzJKVkzWzMCWpB4CTu4FvXzofX3twEM/3J/G1hwbx7OEE3n9K3nrlHcc345TuAL7x0CB6I/mJ08gB/7tlDE8dSuDas9uw1D/1ia8aIjeVazxdGYflnACcTmddhKd6BMZVqBnNQP2qk2vNPHU4HOidSOPgkZ7f6zuKq8U9Ho/pGgHkn0fxeBwej6eIiGWNHB47EMctL45j22Bh/E9dEMCb1jVifacPoVCorsHm/kgGX3twEEYOuGRlGK9eVT+RLRaLmc/Xo1nIDIfDWLhw4ZxZANqwMZ3o7OycVJldKRiIBvL8w+FwoKmpqSiIzCrueqLUd9PhcKCzsxNtbW1FVb1WfeVoq8fgK8+DP4FC1a7V/EhHITknSaGBrzNQlMvlTJ41l906Kr1utJZngoDX6zXHgYmqpXoxsiqC8yvfp0serJWjLGj04odXdONDf+xFJGXg5qdGMJ7M4m9PLG+prUM1x1HrXELb1VpRak1Qjleq/Cpr5PBsXwKbeiJ4dH8cySOOOE4HcMI8Py5cHsYZiwKTbBWngxenUqlJAVdWiekQSRn42bOjAIC3H9eMsNf6ejCAoeLWI9Xi5ywJoiNULMcw2afcePI+oNsQ2xVUi5m0i/3fLWN4pi8Bn8uB687tmFQpXwrkklP97r7cwSratra22T4UGzamHQ6HAytWrKj58z6fD52dnWZFtsfjQXNzc1Hge82aNTOqVTI4DuSf97LARsff8klhQfMZT42TQW1uk+0h5eck/wGKg2qyepxzDh0/mdz5SggY0ZIeKBTmMPmNAXFVi1Th8XiK+t1zXuf1UgPtUz3eqaKa1jxsR1QLplqFbHV/VWKTXo97s14Oriqo8UkHh3okT8j1UDVwOBwlebrD4TD1dsY0ksmk2Xqh2mNUzzWWMnDTo0N4cF/+2M9eHMQ1Z7RVxQGB+lnxE4lEwqyE1yWxHi1wu91YsGCB6bx2NMIOjNuYEpqbm0v+fbaq4/gAl/ZFnAgoUPLhz77TFBNp2+xwOMzqZ1rqSMiMw3Q6jVwuZ4q3nExY4RIIBMztMeDL/dFOfqoP+emoGi9HOGS2pAyCcaxklRTB8SRZ0wUj1fuGY+PxeNDd4sOXLnLhF8+N4ZfPjeHunRFsH0ziMxs7sKjJg2M6fLjp0vn48ZMjuHtnnsA6AGwbTOIjd/Tio2cZOGehd0r3ZqXCos/n0xIQKVyVsoydDqLGRAa/349sNqslzfWyJpquKhRm+HEBWA9xrFx1ULnj+fy9/ebvX37tYgR8hfYJbMEAFI8JE0qGxyO4tyeKW7eOo/dIcN3tBC5YHsaVaxuxqKnwXa7nPZHK5vAfDwxgPGlgVasXHz93ATKp+mY8ywW+LiuTNvL1cs+YS/D5fHZFjw0bVcDpdKKjo6Pke2aDV1JQAAq8UvaVI68kJ5LON7RJV8XOUhn/fEay/yMrj5LJpBnE47OTSZjRaNSs3AgEAshkMi+7wBED/ZlMBh6PB9lstiipDMjPt0wyJQKBAJLJpDlucs4l1EQ9mXhZqxjSFnTjP9+0EO+77SBG4ln8+oVxjCcNfOSM6gNWlSYShkKhSfcShV2gtDXlVJMVrcZICvZW1fjkPvvH0tjUE8F9u6MYihX40KImDy5cHsL5y0JoD+rlCasqlKlCtVW0chkjfvXcGMaTBhY2uvGaVdbOGFbf8YFoBpv35l+/cu1klwHyRop1AMxnACuTEomE9rlC+/tK15TTtdbgsUgh9okDMfzy+TEAwEfOaMOS5sqrhCRkUEddr3Dd7nA45myC0FTQ1NSErq6uomQxGzZsWCMYDJZNGJoNXikD83xOUhdk4iWfZ2w7yKRB6pjJZNKcI9hSTz7PmZDpcDjM19nOMJvNmsUrnL+lpseqeVlN/XJcq3M+oEufylM4/0utUvZ5B/TBX1Xj4rwtkxhqRT3uR2p9lXABXetTWoNTs7UKqE6FU5ZKIOEawKoXdD0DzdORcMmYAq9BvbTVWu8NjmEwGDQTYID8c4jrBvJHdbwdDkdVLTbV67pnJIXrHxjAwYkMXA7g709uwRVrGuaMi6J8ZvJ5IbV+l8tl3icvt3V1OTDRsr29/agv4LED4zZe0fB6vVi8eDEOHDhgZmIygJ1IJODz5SswORkAMC1AmYlJSzuSURIpkk8SRPnAlL2yWdlCMZMiHydzPnhpkVnrQn5Nuw8nd/vx5KFE3arGS02Csm+N2+1GIBAoOk/2OyLRJ0jOKerqJhgr0k3C7nI68I7jm7Gh04evPzSIvaN5a/V/PL0VFy7P913+6BltOH1BADc9OoSxZP6axdM5fOX+Pjy+ohHvP7mpZJVHKdBpQJ4Xewgye5eVDexTxXPKZrOTqp11FkylMhglQalmgUJRTe6P5F/2jKlHQLtaC6dqkUgk4HA4EAqFijJ4qwXJjtq3thocGEuZ1eLHzfMj6HNPWkSwD5Yc27FEFj9/9hDueCmCsUT+9bDXiUtXh3HZmka0BIpt3OpdCfiDJ4axcziFRp8T153bgUxKL7TWC3zmShJOC2EmEb3cM9P9fj/C4TBCoRDC4fCcIf02bNioD9ra2pDNZjE4OGgmaUmuSAFRuuSk0+kitw+Kkap4xjmfcyeFT/aU9Pv9pgVmKBRCNBo1nXnktmTPbfKyuYBSfIUCHMUkzs3k5wzgqWMmq/hlWx4VVnxzqsJawOXA/7x5Cd5/234cmkjjrp0RjCez+JfzqnNNYJKunAMpYJFTsqKJ7YmIZDJZdM68J9RzK3WuHH/+00E3P0uxT64J3G53oUVSBrhjxyA29USwfbBwL4a9Tpy3NIgLl4exqq18wmq5gPVUwWBAKXGodyKN32/PV3u/5+RWuDVtbbi+seLAf9g2ASMHHNflw8oSrWukQ4RsyUDoWtbIFmCViLDTLYQxqejAaBxffzjfJuOyNQ04f1loyttmazMmn6t2n6+Edj5Op9N04wuHw3Y/cRs2XoFYtGgRDhw4YDoJsYc1n2W6ima210kkEmY7uWAwWKS/UI9jcI6FP8lk0qwQ53zPhM5kMmlqAZyTGTxmIdFU29HMFKSmEQgETOt4AGZ7nUwmMykYSF7DFiU6TmQVICvFoSoF5zWZ8FkLdJyK6wJpoZ/L5YoSA1SnP4/HU2TjT5QLvHN8de5aVscHFM/dvO/ovMo1Tb0CzdOZ6MEYQD24CPWzerUS4vVWt5dKpSYl0aZSKXNNVm49KZ9bALCpJ4LvPTaMZDaH9qALn97YgbUdtbdsrIbf1oJUKgWn04lgMFiUFMI12nQmk84U3G63ySsbGhqOWut0FXZg3MYrHo2NjWYghg929tFhVTftTgKBAFKpFDKZjClCsvqG9kvZbNbcHrMwPR5PUT/IVCplPkCZpQjAJKLA5ImYn6cVTy0P/Lcf14wnD/XVrWq8VJ9pOSlQtGRSAMeVxEuCBEnXV5koRQLl306YH8C3L+3G1x4axJa+BG58eAjP9SXwgdNa4Xc7cfqiIL7T7sNNjw7hiYMFwnvfrnG80BfDJzd2Ym17bWOkBlF5T6hEmZVPvKdUsiEJuyTlpYLTJJisJtEJhTqiJ5MZCEl+WYVdj4A2ex1OZ9VGLpdDJBKpiSBJK8apHt+//aXQW/wLF3Vbbo8WkC/1jeG2rePY1BNF6oh9aFfYjSvXNuKiFSH43ZOFSpfLVddEg7temsDdOyNwOoBPntOOznCeDvB5N13XzOocmEjDRcRcgdvthsfjMZ/1fKbL30mgQ6FQzT3pbNiw8fKA0+lEY2MjBgcHARRs2GhlThcgj8djztMMuNGekqKiy+VCKBRCOp2Gy+UybS+ZiEkhU1ZGUsyQYqZubgdQFDDmsc4mSiWfeTwe8/ikmMSEg1wup63akZW+pc7PSoCrxK6xHBy5LL53+Txce1c/dg4l8cj+OD5zdx/+4yJ973odKEzy/Hj/qDyZtvnk1+SV8n1qT3ugdKIrADNBUCZ3qtC9puOamUwGyVQaT/clcc/OCTx2II60UbBKP7k7gAuXh3D6wiA8rsqTx1iJNZ022ul0Gtls1lL8+s+nRpExgBPn+3FKdyFISftZrm2s1jexlIE7d04A0FeLq5DfC+32jgQz1P2xArAUN56JtgvpdBoGnPjyA0OIpgysaffiPSfV1m7AClbnUMkYzAYocFtxSiYThEIhM+hvw4aNVy5YqMMCHDqCMPFPVrxLp0lyyFQqZbZ4BFD03KALD5+FMlCuBs7pgGmlBTAZiXMxK9nnKuSzU1qes+1jMBjUWlMzAVH2G1chuVip/dYKOq5MpQUO2/ZJl07pHkAkk0mEw2EzUUI9flkNL1FJywAG3axaBKjQBX+lGyl19nrdd/UKXJcC76dq3amopaZSqbpqgOUcy6TjLsF1WblkCDpLpLI5/PCJYdx1xL31xPl+XHt2O5r8U9fJpPPudIDPOd3r1TgxzBS4/tBxSfk75xm+10Yx7MC4jaMCnZ2dGB8fx8TEhCmwSSFJ9hIHYFqUUdyk8MCMTJIGVvVmMhmzRxBQmFRIuiTpLFVFABTIB7MUq7EtklXjv3puDP80xapxqyCPbjLiWJTrYVJJL5pS4qn6IG8JuPCFCzrxq+fH8IvnxnBPTxQ7hlL49MZ2LGn2oiXgwr+e34G7dkbw47+OIJnNwQGgP5rBp+48hLdsaMTbj2vWVn1YQdricPFiVb3NZAGK4ax4ymaz5qRFu1WJUgE2VqAnk0nTgaCSe4Qie6l+PvWyFJKEYboJRC3iV72ynfePpkz78xPmB+CCNVHfOpDALS8O4NH9MfBqrWr14o3rG3H24hC8HuvvjVXfsVqwYzCJ7z8xDAB4x/HNOHF+cT8ZXRXSTIBZqrInGlGuf2m9EQqF0NbWhoaGuWP1ZMOGjbmBQCCA1tZWxOPxvABwRJQECvyP8zqfW6z8ZuUPUHA+YRULkwpjsZjJU2X/SaBgz8ckw3KBM+4HgJlMN1sLevIede4lt1bBamlyCCs71JmcG6zgdjpxw6s78f/+MoSnD8XwfH8S19zRhxtfNw/uCsRDJpXK16zmHnJtfobuA3QuACZX/JQK9hJ8v9X8r+OZOsvETT1R3Lc7gtFE4TovbfbgwuVhnL8sNMkNp1LIivRqbB2rhZX49dzhBB7eH4PTAbzn5Jai66OzItXhrp0RxNI5LGx04+QF5Xv5WX031PfoUGpdUI8WXpXiO48OYOdwEk0+Jz6zsaOqZIipwkpAZTLzTNkCO51ONDc3o7W11a76tmHDxiQ0Nzeb7i/SgREoVCHLICnnJ4/HUxRAl4FtrqdluzgGKumwAxS0NSbnldMAZPU6A5WzxcOstBxdwiiT19j6iOeqohJeDZQuIKoHuIaopUqVSQ8yME4bfR1kJT15dy6XK+pDz3uLKMVNGJDj+3k86ntUlAu+smVAvQLFTGScbt2LSdTVFIDUo0Jct81y93YqlbIMPJdKhmBBYe9EGl9+YBC7RlJwAHj7cU1464YmuKrQ2suh2rZB9QJdmaxiITP5HPR4PGhpaUFra6s2mcFGdbBH0MZRgZaWFrS0tGDbtm1mBU8mkzFJhuxbJydGBj8BmL2M2deH4h4rx+VEx4w8EhpmcVaT3UTL7WonalaN37s7irdOsWpcFQxkX3ZCtXZhZipFOzn5q4Ks7MEp95XNZi2DvboJ2eV04OrjmrG+04+vPzSIfWNpfPxPfXj/qS24eEXezvg1qxpwbJcfNzw8aFo55gD86vlxPN2bwLVnt2NBY+mxkhZMErQ51WVSsq8ykyfkdVVtsSSsJlaKOfy7zAKW0I2dYRgmIdYRymqt2SsFxf7ptFavNnuwXhZgslr8c+dN7o2bNXJ47EAct7w4jm2DhfM/bUEAb1zXiPWdvor6UdUrODuWyOL6zQPIGMAZCwN483p9xZJVFdJ0g0lBct+8rtO9aLGFSxs2bFQCh8OB7u5uxGIx7N6926zsYSIkUDyHS2GKAUomtpGLyuAmA9+ySoMJdnIep+VbpfM2n6nTPR+Xgmp/qBNVmTzIY2SiqI4Ty3mfiQfZbHYSh7Ka8zme9RgPp9OJL13UhS/9pQ8P7Ytj92ga7//dIXz38m6tEwzPVWcVT3cqmUjAxFO2XeJ9QF7J+8xKdLNq0aNyJ938b8XJ4/E40k4f7t4+jLt3jGPXSOEzjT4nLl7VjPMW+7C8tX49kSkUT6cgrVqSG7kcfvLkCADg1SvDWKr0x66Eo2WNnGnD/oa1jXBafIbXXbYJKAV5/0iU4rkzFRC+e2cEd++MwAHgM+fPQ0do5qUnCqiyWotOXvV2Y1Lh8/nQ2tqK5uZm21HIhg0blvD7/ViyZAl6e3sxPDyMUChkaojkjdTQGOAFCsnsnC9ksNswDNMNhhoUeSXdMLkNPhN1bTtKgZbjswXyYM53srCI4GtyDpBtMlU3R9l6h0mKqlbJ7VodUz1Rqr2iClaG0gqf9wSr5Fn8RZA306lAOjCRY1rdD+l0etLYEWpiQjWcg3b+iURi0ufYmqreAciZcJhhErXVmKmoJ0/j2gGwdm+U0PHrShxtH9kfwzcfHkQ0nUOjz4lPntM+qQCnXphuW/VSUHVJ6vP1aIFQDnbxzvTADozbOKqwZs0a8wFCMVNaUwLFQgIz4xgQ5SRRjjSSlLIvDSejmRAi61k1Lq2UdEFHipe0nacgJ8UcOWlwHCj4ygxWVl3TXk6KohKliOFx8/y46dL5+MZDg3i6N4GbHh3Glr4kPnR6KwIeJxY0evDVS+bhN1sj+PkzwzBygAPAS0MpXHNHL953SiGQrkK1pASsJ2Rpry9tpvx+f1Hf0VLBPgrlKjHRZbHGYrFJWWq6BAImbLDftVoxolrBU7AmMaNTAj9faSYj7UC5AGEFHBNS6kVuqwme1qPa6FAkh75I/tiP7/LB5y7cN4mMgXt7orh167hZUe52AhcsD+ON65qwqMlTRHhnoldX1sjhaw8OYiCaRXeDGx87q91SmOUxVepGUE/wmcIsZd6jXHzXWwy3hUsbNmzUgkAggHXr1pnz4rZt2wAUJ2o5nc5JvdqAYm7EysVSPQvZyxwotJ6oVRCYzYU0x4bnqh4/n8HkCayQYjZ8LBYrCmTLxDJWVZFTkKOSV1qhHn2WpXXpF16zFF+/bz/ueCmCw9Es3nvbQXzvsvlo9LsnfYbnz3mW3E/lugx8UogEMKmqmfu3qqKwErp071XHi/cg35vO5vBUXxKbeqJ4bF8ER7rCwO0ETl0QwEXLwzh5QQCN4VDRNaYAy2tFjmEYRlWVZ3SY4XqDrl7VivrlwISDP20bwa7hFIIeB95xfPOk91XC4R7cF8NANIsmnxMXLA9r3xMMBk1L22rs4nXcpRyfqVScrRW7hlP4wRF3or85vgnHdnhmTcSULl+qmDkdaGxsRGtrK0KhkC1c2rBho2J0dXVh3rx5cDgcGB4exujoqMlvuAZWNUXqQLJXNgOdVmDBDp2EOBdX6n4yV8B2MgzwxuPxojnG5/OZhU1WCZZAcfIfA1zk8LKQilbsslWmCtm/vFa4XC5zX9x3OZ5BDsR7gOcjz1dNTJX2+kCxsxOdh6TGq0LHI3Tjq6vKpvuR1Jkkl5NBfvkeuT9ZtCR5JYt9quEcXJ/ISn0GPOv1ndAlJ1ihHtxBtuKq5n5kH3d53tls1pI3ZowcfvDoYfzm+VEAwNoOHz59TjvapzkZUrY9mGnItT7XUtNVyGMX70w/7MC4jaMKcoKR/5dEQzdpyN7g6vslmJHIoC7J5lT6NtfSR+PqYwtV4287tgnzp1A1Ho/HEQqFigK6AEyRUp4X3+dyuYp683i9XjPjlRMGeztLoieFQFobseKa7/F4PJP6ATHgG4/H0ex34d8u6MRvXhjHz54dxV/2RPHSUBKfPrcDy1u8cLucuGpDI07o8uIbDw3i0JGgZSKTw02PDuOvBxP48BmtaPS5irYvx1/eO7qgIavBgOLeNbSmAQr3EEVeXYWTap9daqJlpi+RyWSK7htJrikcM5NY9reXZEftHSX3T4t41b7TKqFBVsdLe1k6DNQLtG4qF8ydaoA1EAjgc7e+ZP7+2SPV4mOJLP64fQK375jAeDJ/jcNeJy5dHcZlaxpNC1ESb1Z+qY4SJM0yI3yqxO9nz47imb4EfC4H/vm8DoS8pYMBVm4EMwEuzNVzrqelvC1c2rBhYypQOSWDh+Q3gHWlhzr/WPUJ93q9Judh8LBcFUc50JljtnpDWs1nDC7L8yKHlvbZFGwYFJVijayWUsU0BtR1nFoeD/ltLperaIzU7blcLnz4zA40+Jz45fPjGE0YeO/vDuF7l3WbIpEVr89kMvD7/UX7VQPlUrByOBwmr2TvSKueiclkclIFOs9ThW6cXC4X9oxlcdeOMdy/J2pyHABY3e7Hq5YFcOHKZgRdhddVAVPlh3LcmYTL4DndENLptJYnyuCxun6oJ29JGQ78zzOjAIC3bWjS9kgsJ1jncjnc9mK+WvzSNQ3wauzErZ4BlUD2I+V3SF1jqdezXOurqSCSzOL6BwaQyuZwSncAb93QBGByYstMQleFr34npgKXy4XW1la0tLRULHzbsGHDhoQMtsogZ7lqTTXgxuQxXRBL5/bIBLVakqVmok9zKaTTaUt9wOVyFVmASw2Rx8xiHY4ftUug2FZarUTntVILoJxOpxlQlfMvoO+1rUM1GiDPU03EJXT71G2PFuXUYJmIyX72Ot6uzp26nu2E2tIxm81O0pg9Ho8ZkOc9L49VtkLleUs+ITVAJjWodvlWWiWASfyA26xnIqHaImu6QE201u8lr1MwGDTdzZhoAhRacB4cjuArmwfx4kB+vN6wtgHvPrGlqjalU8F0JniWg852vp7FTnbxzszBDozbOGqhZgYSaoCRwowUEdkrkr1XKGLRokcSJZItNcBbDUjGKhUSjukoVI3/8vkx/NOZU+s1rvaoAYpthghpT6QGhBmIVc9HWvZQpOE+5b5ow06BTA3Syp45TocDb93QhPWdPnz1wUEcnMjgE3/qxftOacUbj+9EPB7HmnYfbrp0Pn7y5AjufClifvbh/TFsG0zi42e14YT5AS0JlGI4hSf24mGWotX4pdNps3Ja/t3pdE6aWLltil2lBFpVaGY1PseJn6etOTBZbAUKiyW1j5D8OwVLncVRtZO2vAemimAwiGg0aiZKcEGiI0xTrRDbNRDD4Wj+epw4z4/hhIFbnx7FvT1RpI6UTnWF3XjDMQ24eGW4yEaV94paOcjeT6ySlk4WU63afmR/DL9+IS/KfvTMtkk2oHMJfJ5OxyI7GAwiHA6jpaXFrLqzYcOGjamCvMDhcBTxRV0QmnOshOSGTCZk7zsmXZInMbhU6zOStpwz2WO3EjidzklJmLIfu+RJrPyU48q5UyZLst87K4WYac8EBhkoI4ei0FaOd6nHSHD+eucJLWj0ufDjJ0cQS+fw/t8fwjdfNw9r5jdPum7q2oDV0PK8ZA9Ir9dbJJqrwT0Ku6oTAS1VZTW+FVjNMxzL4L7dEWzqOYS9o4VttQZcuHhVE85d7MPa7mbzGmUyBUtTVuxwXFRIe3ir9kJMJKwU9WwF4/f78ZPH+jAcz2J+gwdvOq4NbsfkJOpyx/dCfxIvDafgdTlw6eqGSX/3eDw1J/1xDZLJZIqCKFwbMeChbp+CXr3FWSOXww0PD6EvkkFXyIVPnN1W0p1ouiErpjhOEmqwo9pth8NhNDY2orGxsS7uEzZs2LABFLRKnYOL7r0SbBPD+Z9tIBOJhGk/ziprujny91rmzpmwoi4FXYCKFuLyfOTYqcUpsge32tpGji/nV9rbs7UL38/5hq076cBX6Vyr6wNdKqmMgXg1YEzOxQp4QlcMkEgkTItynoPkjqq2Kz/H/fOf1f3D5F7pFhqNRs0iGcMwEI1Gi/qaq9yIgXOr1pBMDpRV+7p7sppiE913sFbI8aETmJVj2FTXZ1NJtuQahK2aON5MYKWO+fShGL50by9GEwaCHgeuObMN5ywJz6m15XSA40N3WAmu1WsdA7fbjYaGBjQ1NdnFOzMIOzBu46gFH1hyglZ7YvNvrMIg3G63SaRYFU1QgGDlCytZ2Nu81orPam15zKrxnijetmFy1TiFKE7EJHm6wD2rj0l8gIJQJ0HxUfbSlhYjtOeh0Ot2uxGNRs3EgUgkH6CWtvUknOx1w8mHBJzBXlopSWKxvtOPm143H998ZAhPHIzju48P47nDCXz49DYEvU743U58+PQ2nLYggG8/NoyReH6fw/EsPrepH285rhVXr8/BIyo71D7pAEyhhfeIw+EwA8gkdLS+surjTdFKFdANwzB70sh+PzpizOuUTqeLLJOkKMkxZJWRHC9eL/agUoPcrL6SFfFut9tMXOA+eG2rsS6qtRo6FAqZ48n9qdthliu/m7yGlToxqAJ1JpPB5/7cY/7d7QI+8PtD4FVd1ebFm9Y14sxFQbiUbEndebIPlEqK60WEDo6ncePDgwCA1x/TgPOWhir+7EwRW96PJJhWZF4mDFRy7dxuN8LhMBoaGhAOh+1sSxs2bEwrmKFPqEIW5wA1SEgHlnQ6bQbEgXyQnAIceYUUaWoVInU2eVMFg3DkLKVaCLGaiVUuwOQ5j3ySSUzJZLIo+U+6isikQ/JGmYApA+wAzNfkHMdgO0HuXop3W40/RdHXr21Eo8+JGx4eQjKbw0du78WXLzZwTEfBCk/lIjp+wkA2x0mKpFZ95lndoYICJ3lHMBic5BCUyubw+N5x3LcnjicORGEc2bzHCZyxKIhXr27GCfN88PvyfJAJmKzw5354bdmWR64hmIApOSXHnX09Of7kcJUmCNfaCkZWjRmGgf1DEdx6pNL73Sc2AdkMMijcm3wf92eVjHnLkW1csDyEJn+Bk8rWTLWAVWm6yq90Oj1pu+o6aToEt9+8MI7HD8bhcQLXnduBBl8x76p3/1Ur8D7i88FqDc41O6vUyiEQCCAcDiMcDiMYDNqipQ0bNqYFfLao1cPymcMEOF0AkLxScieg0LKDAS7aZDOQXKujUC0ul+XAoKnUU604mQz0c4x0boxSz5T22RwrWdhDjint0zmfcB+ymlkmWsmWLwy+k9OX4ias3Fah+wyvpa79jrwObHWptrYBYCZGRKPRIu1bB10CBDkQW+ExmdeKG/OYeT5MROV5M7GAgXh5Dcl9JR+Uawhpmy//zvUGxyKbzVZ1r+qs4CsFk1KAYqcj9TsWCoWKdPhqi4eo4crWU7VAOinIY+F4xeNxGLkcfv38OH6+ZRRGDlja7MF153ZgQePMF51UmsRcD/CZmUgkzHHWxU5k8kC5Y2NLMGqVLJKyMbOwA+M2jlo0NzebD30GWmRwU4ITt9/vN3sdqlUtQLG4FQqFzIpfBm9ltl61ICGs1PLtmA4fTprvx1O9k6vGGcyUJJnkQfZJpADLv6nClSSonMz5nmAwaAbBHQ6HOblzcuDnKCLLShiOtxTGaNmtjgn3l0gktBWgTX4XPnd+B27bOo7/fnoUD+yN4aWhFD69sR0r2/KC4WkLg/h2uw/f/+sYHtozkT8+AL/aMown90dw7TntWNSU37auskD23XE4HEXW6xwjjm25a2dFJAmer07QZrarSiK5f44t7yGZESoD97rvgMyopQU7F1AErwcr5qpBLdauHM9ypDabzZpkX44ZEzZUEZPVeiT5mUym6D27hpJmtTgAPHEwv83TFgTwxnWNWN9pTWjU17mAo9uEBKvdeC1rCVLH0wa+dP8AYukc1nf68HcntVT1+Zkimnx+MFPd6jsgnQz4PFQXj6FQyAyG2+TShg0bMwGHw4Guri6zdQ5FNJ2dtfwMRU01MEmwuiCTyaChoaHI2o9OMbVC7bc7FagJAOQjrNYkZHKaOreGQqGiIC2TN/keVj/JxCkGdmWPcVotMiiszhs8PrUihlATC61E2FKWkdxvKBTCpRuCaA378Lk/H0LGAD5192F8/lWdOKnbek0guRWDtRQrKWbKoL86lkQpbiWTCpmc9vS+UWzqieCBvTFEUwW+uq7Tj1ctDWLjkiDCPhdCoZCZHMy1D/ev2l5aWaGHw2FEIhGzcl+XJEGXI1apVAq1nVAlIF+X1/R/nhlFMpvDhk4fzlpUSJrgd1ztx6pbhxwYS+Pxg/njeOtx7XC7J1eD1QqduKvahkrIhOjpwDO9cfzs2VEAwAdObTXXWcR09zUnXC6X+WxV22GpkM8tJmjK74vT6URDQ4MpWlIMtWHDho3phN/vR3t7u8lhmICltpvRzUEej0erVco2M6lUCl6v13wus+JXLRSqBtW6XFqBnESeq+SC1JlY9MD/65wQpX4rdU0G0GVCPnU4vpfbY9CW+2IrPGpe8qcE+Q05UCmLe6B0sqtqC26ll+iSUqnHEtIqnhofUEgUK6WdWOlR1BdZHMV7UT1XXSGLTKSUBTO8FvKcWJylOw5+TjorSU2S17+WBI5aEj/IWytZZ7F6XiZYWjkx8PvB+186Bk01+VBtwyPPAwDGk1l846FBPHkof/1eu6YJ7z2xET53gb/PZMX4TDn18Huhav068Hox6K1eP4/HY/LKUChkuw3NAdjM3sZRC9qeZbNZHD582OzjSNubPXv2FL2f4oesPCE4ARRVWxzJMgQKE/9Uek4wEG0VRNPh6uOa8VRvvmr8qmObsayjwcxyshL6rOyz1UlW2vxIUZJkWPYW52TASmS+PxwOIxqNmiSfBEaOnRQzVZJW6cTvdDjwzlO7sa7Dj688OIDeSAbX3tWH95zcgstWN8DhcKDZ78J157Ri08Igvv9oPxKZ/PjuGknhmjt68d6TW/DaVWFTnJPjRKGWYor8myQ08m8yWxUoDl4zs7TUNVb79EjI3jrMupSV/NI2S9qRst8UhVdWIfH+5neDZNPpdCIWi5nWS3ydC7dqkM1mJ/XV1IECcTKZNCuNKoXOXpNVWLQV4/2qu7cSGQP39kTxwyeGC593AhcsD+PKtY1m8kQpqMF4Bg5Y9SPBsa81czuXy+GmR4ewbyyN1oALn9nYUVW/H9UpY7rgdrtNt4hqIO3hEokEmpqa0NHRMaVAkQ0bNmzUio6ODgBAJBJBJBKB1+tFZ2cnvF4vhoaGMDQ0VNSGhkKc3+83RTaC84LsixiJROD3+01OMdUAjaySqSU4zvlYZyVH6KpZWQUuP0P+kcvlJglJPD5Wpch5idVEFD75k7yGXAUoVJMABVFQdz0qAc+h1ByZTqdNl5njOz34yiVduO7uw8jkgP93bz8+eU47zl0a0vJKViNIi08AZnUXz1MeL917yAH5k5xJtc4n5xiMZnDv7iju2x3D/rHC+bQHXbhgeQgXLAtjZVdDkWsRnZ+AYmvFdDpd1O+avJ+9CGUbKlYWkd+wip2iJRMxKTZXK7TF4/GK7m2fzwen02nyM2L7YBL37Y7CAeC9J7dorWp1LaUkx3a5XPjDX0cB5JMnOwOlHQhqgcoPuX0dd6zGLalaDMYy+NqDgzBywEUrQrhkZXjSe3RtuKYDPp9PGxQqBzp3MbGpra0NbW1tttuQDRs2Zhw+nw/z5s0DAPT395vzC//t2rXLUlukrqH+XfIcWoBTL2KRSa0J5QzWUQ+qRUOgXhWPxy3nbh3f1CWEyfk/HA6bgWRp+c3kR86JTHrj8VMDJeehsxMwuW84dTKZWKCbb63Gl203S6ESy3pZ/S+vvzwvuZ9kMmneC7JFD1BcpAQUkg8CgcCk4LQuKUCOlzoGsnCI48vx4rVh0Q3nZVmgRK7F45JuWhwDFm3JRFnuv9JiMwkmWJTjcbJ4p1Syom77ujFjwByAaeE9XW0LuA6T2+f6aftgEl/ePICBaBZelwMfPK0VF68IFxVszXRBykwF4St1FZJgsi2/sz6fDx0dHWhqarILd+YY7MC4jaMeLpcL3d3dRa/pJhoZuJSQEwFJRigUQiKRMBfYtNSuJRtIBtfVQFA5rJVV48+N4Zozq/vKSztDikZAMcljogDFDrVfuxxLWuXEYjEzw5V9BaXASIFNjpfsv0LSzp8k/1YTI3tPn7SkBTc1uvHNR4bw2IE4fvjECF7oT+HDp7ci7M3v63VrmrCuzYVvPDSEbYP5yS+VzeF7jw/jrwfjuObMNgCTM+kYTFYzeWUFODPMOE6VZovSmlIVBuU9Jc+f1lnS5p8iO6+Veh9TlOZYqxN/OBw2BXQARcFjZodK8bWWyV46A9AKSLoX6GygqhHY1L5HuoWFbkEylsjij9sncPuOCYwnC9d8ftiFr756PloClQtmOvspfg90SKfTNffC/v22CWzeG4PLAXxmY3tVxwkUxPTpBheStSKdTmPJkiVoaJjct9OGDRs2Zhq02dWBFZuSH7lcrqIgjgwE8+8UQuTCvJrEMIlgMIhUKlVUXVBtcFxWZVQKtpnR8TVp+8hgqI5nqccpnZ7ITQOBgDlGDCyTPzF5k3yC1U2spqE1MvmqFdemc5RaGUWexeOWY7u2w49vXTofH/tTH1LZHL764CDGk1lctqZR26c8EAjA4/FMqgZnwiPtKun0Y1XBzr6Zstommc3hoT1R3LltBM/0JsxWMD6XAxuXNeCS1U04eWEDHCgkR6prD4/HY9rXywAsq3tkEgO5jhwnn89nipUUP3k/UZwOhUKIRCKT+oRWCgp8TKogn+I1oqWmbA9EK86bnxwBkLc/VyufCclfyFnlcQ5OJPDnl/I26leua6z6+CuBurbk/q2+05UmDFSDdDaHLz8wiLGkgWUtHnzw1FbtOmCmhMCpJKLTvnXRokU1828bNmzYqCc6OzsnvcaWjYR8rodCIZNXUgOSrfaYVEiOIvlXtXMt53NVd6rGIYTzZ7W6g0y6k5DbYjBYtv2T86b6WXIsoDBObD/IanvODXKsyDU5h9BFkVqpTscimCxKbVPV+9TWh+WKJlj5LYPcbGmjC9aTD1GL472hOowS0g5eun+qnFg6s8qxlq1y1KQEat8cT75fbYeicwdg8p/OWYEBdmqz7FdeLXw+n5lIAGCSe4HUzGuBvK7yXiSmO7lQZ+UfjUbxxx0TuPnJEWQMYH6DG9ed24HlLfl1qGxtNdMB35lIttQ5VFaDWCyGtrY2zJs3zw6Iz1HYgXEbNkqAE74kmqwCkJlnDDRy0jYMw5xUaFtOUaYaWAkXcvIph789uQNP/XE/NvVE8LYNjZin9Bqn3RxQICsU2aSFpcx2owjEHi8ySM7KHVaBsmKEEzvJHUVe3Xkys0+OF6uDab0IFFflc3x5DDrxORaLoaulAV96TQi3vDCCHz3Wjwf3RvHSUBKfPqcdq9vzZG5RSwBfuaQLv35hDD9/dswUDB8/GMeH/ngIHzurHRtXthUdMyvxZXBatVhUM++soFrYMNDM7D2SZgazGWxnBqeu+pZCmAyO86cqWBKsoKaIzUUExWWKjDwvkvBoNFoRSSH5ZVWQSjh022BFPTNyq/lOkQjz2MuJggfH07h16zju7YkilT1yXR0we21+9/L58FZRRVKqGo2LKN3feR9Xk1jz/OEEbn4qL+q+9+QWrOusvor65VIhk81msX//fixevNgyGGXDhg0bcwGc+2UVM4Oz7F3I11kdxGAb5wiKPuQd1cCqXUs12ykXVFP7J0urb7kfCmiyAoTJcUygZOUEuZ7MvJcVTqx04bnIxC7Z85D7p9Ujg6bSQputgDj3UoCk2CVFRfaaZHW3riegTB5Y0uzFDy/vxoduP4RYOocfPDGC8aSBtx/XrE0EkNtR+0nzHIhSVRO8X14YSOLeXVFs3hdFPF14/7HzArhkVRPOW94AZzZlJviSv+vuD14LtixxOBymi4FcP0hIy3QeE6t8GOSnEMsxr6bCWVa7ScGV0B0ThW+OEwA8uC+GFweS8LkceNcJzZb7o4DJwIJ6De7YMYFUNoeVrV5s6NQH16eCUmPD75COJ/Pa1Qv/+fQItg0mEfI48M/ndpiWmipmqj3PVKvyY7EY9u3bhyVLltjW6TZs2JizkME5zgXU3PiMZ8CRYKCW7i7kTLVU0TI5TOWEhmFYtqtRQb2pFA+V7oZAoWCG7ofcDiE1FybW8Zh0+i5dCyV3oebL85FujnSYkclxMqGPDkiyOh8otDCitscAPrkQtbxMJmNqprqWOOVaL+rA8ZPulWqSq3oNrPRK6TYleRwTebkGkHqvbAmk46vZbNZcC1HvAwoW1lb26eSV/AnATOZksFomfnB7pe5NnjdbItEBKplMVuRGI7lZNbyHzrBqdfxMgWMujzmWNvDtR4eweW/+fjtrcRDXnNGGkLeY5zE+UW9XpFLgvTLdkPdxrRgaGoLT6URnZ6cdHJ+DsJm+DRslwN4x6msSMhDOgBs/J+3XqxUvywmPVkEy2jsymLkCcZw434+nexP41YsT+NhZHZOEnEomXTlBSqKo9ochIYlEIggEAibJkdUzFBpJvtXsRb5XN2Zq0Fe+h0Ioj8OKZCcSCbxuRQArm+bhqw8Ooi+Swafu7sPfndiCK45pMEnuVcc246T5AXzjoUEcnMif72jCwP+7tx9vPJzGO45rQEPQb4qVtOykdabaZ4niW7kef7pKXVpLSoGS4yT7S1lNtLIiPBQKmYRVrZLiNWKw2iqzlcdJcFFTDWngta/mM5IQl9qfrr+VLpNVhxf7E7hl6zge2x83kyJWtXlx9qIg/uuZUQDAqd3+qoLiwNQqZUjIK8FQLIMvbx6AkQPOXxrCZWuqr6Su1b59tmAYBvbs2YPu7m60trbO9uHYsGHDRhFk0BYozGXsU8Z5iVUjrNoACnMywaqSarPXSyVUUjDU/V26B6nBWFY0M9HO4/FULOSQLzJwzeoNyXFoySkrmygYckzZakhWl5ADctzU4yZ0FUpSKCWn5/XQub6ofalVsOqGx9IRduPHr+/GP/6hF2NJA/+7ZQzjCQMfP3+haWlJDk9bUYrAPA410bSUdfThSAabtw7hru2j6I0U7qOusBuvXt2Ei1c1ocVzZF3gcyObLW4PZcWz5HFIu3MGt9mzm9eR1dlq6yl5LWQVDiv5q+ktTq40FWvFVDaH/zqSWPjm9Y1oC+blEvX7QQHTar2Wyubwx+0TAPLV4rMhhJXaJ1shTRUP7Ini99vy5/nxs9oxv0FfZa1ryzVdqMTqtBzi8Th27dqFJUuW2C16bNiwMWdB22zOnZwDZbIfn73hcLgoUMhgJbWpanglkxKtAumltE/aYDPxU+pYUmckD6skCEzdSj77ZR9moMAR6FQp7bg5fqxylm0jWcBAnkXOq0sIYGW2hCwGkpyexURy3JlIKrVCte97JQkH1KNZpCVdGKnByvcw2M3ArOr8qULXSobV9Mlk0rRsZ/Io7zm1cEiCXD0UCpnHSd4oe8uzfSU132Qyqb13ubaQhV661ooq5PVjwVg1kNzLSk/TaadMeFAt7WcS8tz3jKbw5QcGcGA8A5cDeN9pHXjdSuse9EyymSnoKuqnA/UKvg8MDCCVSmHBggV2X/E5BjswbsOGBrIfs7TwVuH3+81MJa/Xa5IlmQGo6xPCjEyribKSPofs9SeFRUkSJN5+XBOe7k3gnp0TeOu6BixpD0/qTVgOFKdY8RMOh4sqgqRtPMmOrKxhhT0DwzJbUf69FMplsKp2oBRrJSRpWt3uw4/etBxfvu8AHt4Xw4+fHMGWwwlcd4EfjUe2s7rdh29dOh//+dQIbt9RCMrf8sIInj4Uw6fO7cDyVr9JKtWKEY6PtGDRXXeZtambKHm/SFs/Jl9I8DXV1p5Ei/2L5D1JAqtWnqiEX3e/sf9StQFuopqsZNUaqVRFM90D5HuZpKJD1sjhsQNx3PLiuGmhD+R7Qr5xXSPWd/rwd7ceNF+/7rz2io+bKNcXiosHq3HkWJdatKazOXx58yBGEwaWNnvw4TP0dpalwISZmbBRB+pbQXTo0CEkk0l0dXXZhNOGDRtzBpx7WAWue87ToUWKdlyMy/lZJwSwYtkqIFhJ1S2rc2WAU3UPUkEhjHNbteKBDK7SipHVNAyYy4AvrSkZHAcKNtwEeQKD6Dw31Xa0HNSEQ2nbTujmZHUf7GdJ8Q4Amvxu3HzlAvzjHw6hP5rFH3dMYDy5F59/9ZKiSnan0znpWvO4KPbJsSDiaQOP96Zx944xPNtXuO4BtwNnLwniouVhnLS4CThyv6RSxcmvPAfZL1vl1LwnfD5fUdKqTI6Qtvb8XZ6PvN943eiQxOqgaoLc1Sb18V4jDMPA77aO43A0i7agy7Q/p4Wn3D55tRWPvbcngrGkgY6QC+csrl91toSagKuCx201htUmbavYP5bGTY8OAQDesr4Rpy+afJ6zUflUL/6XTqfR09ODBQsWoLFxdpIbbNiwYUOHYDCIsbGxktXZLE7JZDJFrov8vORfKn8rlWDEquBydt6sTpfW2XQ51EEWh6jW2ZWAWpVM/GJQW7anU3mI1CVZzc2x4thI10LA2qWn1PxDLU5WoqtjoVqn6wpqmPzJFoZWoBMANVleM9W9SSakUkvWuaWw2IsOkSpk8F0eK1AYL5fLZeqRagtOyWUkZ5BOUWprHTkvSyt2ySulhbo8pkpQDZ8gf5XHbvUdYtKHBJ2SZqs4hTENwzCwadcEvvvYMJLZHNqCLnxmYzvWdQbKxinqUV1dDrr2pdMJrkfrcV3GxsaQSqWwaNGiGU0isFEadmDchg0NXC4X2tvbcfjwYQDFE64kRAyKq5lvtG/h52RvcFrBMMNNVr3ws5WKB5UGrtZ2+AtV48+P46NnVt8zjX2n/X6/Ke6pPb+BYpFFBgEZeCXZ5MRCQsAe1aysYRUMsxeZkSqtRHVij6wOUsGqIjmJhn0u/OsF8/GHbWP44eODeOxAHP/w21341DkdOGFhY95GEhl88LQ2nLogiG89MoSRRH7bu0eS+OgfD+K9p7Tjyg0tphDLqnj2mQcmk3u1ooWLFl5/Vsion6dwTrsgJmGQhEmSKu0tuW8GiFkBJgP5tEbndWWPS2aTSoHW6/Wagqd6H1bTU8rqfbRSYqKA7IUlx1AHHrNciJEMq/dFImPg3p4obt06jt4jrgBuJ3DB8jCuXNuIRU3578rOoSQGY/nPnr4wUHW1OMF7l2K2BKvdSgXPyxH5nz41gq0DR+wsz+uA38LOUgeSs5kimUS9ewMNDQ1hbGwMXV1daG5utoVMGzZszDoaGhomzacUoAhpHZhOp4ssnqX9orTOVOdGtXoXQFF1UClUwz91n60WTKRkNQkAs2Ka/SBVZxppN88WMbqqFW6f40whkgmdFOAcDoeZlKhLHpB8Rif0uFyuSZ+T/SfT6XRRYmSRdafbiR+9vhsfvb0X+8YyeGBvDJ/4w258+TULAcCssiZf4/2hu0aGYcDI5fDc4QQ29UTx0N4YkkdawDgAnDA/gFevacZZi0NwGvljSh05JvJ6Ct28P1UuQqtzcstIJGImxHKc6BTF66XjOby+MrDPsSG3l+dYjRDFCjYduJbgWkaXdDAUTeFXL4wBAP72hGaTQ5FHSGGV1Wk64d7I5XDb1nxv8SvWNMLlnD4eInvEqt9D2r2yKk9FKav8coilDXzp/n4kMjkcN8+PdxzfPOk9FNFnq/KpHjAMA/v370cwGMS8efPqakFvw4YNG7Wis7MTY2NjJd8j+0ZHIpFJzoMMlvIZTa2MiZl0clGDgzodQwerdn1W0BWXVANWh9Mqm1oSuaJ6HmrSFqurrY5JWqeT66XTaXNeoD097c9l1Tkhj8EqgCj1ZtlOjwE6qeuVmsPJqckD2JoSKPBRqZOoSaYqyN2i0aiZ9MDCLG6PiaiqVkkOKbVK6qYssuFYWvEaq+IhVe/j68Fg0ByfSltaVgrqr/yucDxUVy2dzsUiMR4zq/R1hUozjUg8iZufGsPt2/PPlhPn+3Ht2e1o8rvM8yt1jOwzPhXnJivI1qIzjVLri2oRj8fx0ksvobW1FZ2dnS+b9pWvZNiBcRs2LNDW1obBwcEiexsGK0lUSASkPQ6zEUlE+HoikZhEWnTV3ZWi2mwsVo1v6ongrRsasayz0Tz+SkHrbQqvJC+6yUn3OgO+OjIi+5aznyQnXrkdOb4U4Ci+6cinBCugScxkT6TXrgxhw7wQvnjvIRwcT+Mzd/fhXSck8Mb1TQgdOZdTFgTwncvm4zuPDeGR/Uf6S2Zz+P5jA/jrwRg+clozgEKVEo+PAi/HheImBUgSKtqac6ykdZ9a0aJee9VqktcIKAhfQCF7UvaD5NjT3p7HRjGLvXW4sGKluNX9V01mpVUvK+6PpIrXicF49iTngk5WUPG4OM7soy5J3Ggii9u3T+D2HRMYT+b3H/Y6cenqMC5b04iWQDFB+cL9/QDyAvOnN7ZVfH468BhoZyb705NwluoLafW3+3oi+MMR285PnN2Obgs7SxWzRTIZ9NCJ01NFJpPBwYMHMTExgUWLFtnBcRs2bMwqHA4HOjs7sXfv3qLKYbWHMqs0yB3Y91BmqjOwpwo9gHVv50qPsdbPkBuWstVUIZNMOefzd26b8zmr6KVoJwUa3X6ZTMhgMq3aZcU9BTpWSMjKfvKkUuNJQVly3lLcXFZnpVIpuJ1OfOfS+fjMn/vx4kAST/cm8JE/7MfXL+k0uapMKHW73ea+yIcPRw38aUs/NvVE0C+s0rsb3LhoRRivWduGRtcR5wGfG/F4uohHsIJIXQ+oXE5anTNhkVX+MhmB6xMGzGVLAPJc9tCkYKu7l4lq1imlhDgm+Mq1gpow+z9PjyCezmFNhx/nL8tXm8lry4oliv08DxVPHozjwHgGQY8Dr14Zrvj4a4HkjbQflcEIrqnqvc9vPzqEA+MZtAZc+NQ57UXBfwr5M80rmUQyHYJsLBYzq8dbWlrqvn0bNmzYqAY+nw/Nzc0YHR01eQeT1WSFNtuaAAUuRW5DrZLJfKqrIOfNWjGVQBJt1avlANQnWRktnSoBFFWkq3yNPMVqzqSOyHk2k8mYAc1sNguHw4FoNGpqcC6Xy3TeYQ/mcuB8Tp4vtU2ZfAgUtGSr5Dj5HnI6nh85HYu8DMMwExz5OSYR8rhYOU8erVs3kBeq6xG1/zTfR5cAj8dj6noEq6elzT2LSHhMtEbnWkImQaotOOsJ6nbUG2XrAq4N0uk0wuGwucYhB/Z6veY9SYdZIL9umSnHRh36JtK4/oFB7BpJwQHgnSe24Z0nd8DlLOjVACateyRUzbVeYBLCTPNKJm/Xu5Anl8uZxTzLly+3q8dnGXZg3IYNCzidTnR0dODw4cMIh8PIZDJm8IoPexIDmXkpSQCzFKVoVC9Um1m0tsOPkxeE8OTBaFHVeCWVAlIAi8ViWuskGVjj/6WdkdxWufOS2XY6csDxlduVgXq1HydB8sYqIZVErmr348bXzMN3HhvCA3tj+M+nR/Hc4SQ+dlYb5rWEEY/H0eR34Z/P7cA9PVH88PEhHCkexxMHovjIYAIfPb0Vpy8qWJ3KADVQqGDifRIMBot6KUmbVWZQEiSvJFx8v26cmCzAoDwrj0KhELxer5k1y33zukgSEwgEzD6XzA71+/3wer1FPT9VVHOvy8xbCS7qOH60zOGxUHQlMSMoiPE7RwLPvx0cT+PWreO4tyeK1JFqqq6wG29Y24CLV4S1Fdbb+hMYiuUF5DMW1V4triKbzRZZd/G5Uo586Wx0d4+k8J3HhgEAVx3bhNMWVlbRwkXKTJNM3WJvOjA+Po6DBw9iwYIFdnDchg0bs4pwOGw6hoTDYbOvIpPSyCEpUDJwmEgkzDkhFAqZLWjqjanwVFV4KweKcHRckpUrrLSRLVoYJNZV+pbaJwU/JnZaQW3FI7er2o9KMLhMvieDrLI3uAR/55zvdDrx1VfPw7/f14/HD8axYzCJf7y9D99+3Xw0hALmXCk5TzRl4NHd47hzxxi2DhT4X8jjwPnLG/GaY5qxNJw7wqMc4CHQiYBBawAmH1bFSNUmU447kzfIzcglpTioJr6xegeAmexBpyUKsVZ94CuFdBxQwZZPdAwgv2XFzra+Cfxp+ygA4AOndcB5pHKe58Jtkrf4/X7L7+GtR6rFX72yAUHvzLR1yeVyRfcp121WLZoI1SK+Evxh+wQ2743B5QCuO7cdzf48L56tREsm5UwlMahSHDx4EE6nE01NTdO6Hxs2bNgoh46ODoyOjpraTCqVmlR1Ktvr0bWI8z01IDV4XC9M5XksA42VzCmyfQ6T2ACYyXdyTMhhmEwl5w6+ZgUmTtKFiBxCtjOS/a9l0gIrtq30VxasyOQ7FoMAxQmj6ljxmFVdjcdB/se2mNRM1daMfD/XGnKspMbNsZCuTzLJVNUqVR7CSm9eW/J/tuvkeYRCIZOPkqtInsl9s+iJr8sA9VRQ6h5m0i21SqCwLqDGGYlEivROcm/Ju6q916cDj+2P4YaHBxFN59Doc+Las9tx9orWSZb21NnLJQ3XCzLBeSbBa1GqGKweyGQy2LNnD5YtWzapLZaNmYMdGLdhowQaGhowMDAwyQZIVqrKSV6d8CmUyayweqGWIM/fntyOJw9GsakngquOa8b8xsnWSCqYnUUirWZvSstEimDSmjIYDJokzOfzIRqNlnzoSztyAEVZrxKqNY20Zvd4PJNIIY+dYPBd9uZLJBIIep345DntOG5eBD98Yhh/PRTHR+/oxSfPacdpS1tN4fbiFWEc2+nDDQ8P4cUjouRYIosv3D+AK9a14N0nAF4nTIFX7pf7kzY6Mkgvq22SyaRpL8QqMzk5c5y9Xm+RAMvsQ26HYiSD27Rj5fu9Xm9RDx4SemnlDqCoH1A9KlDUBZoE7yXuj+ev9i2S3y3+X+252DMO/O/Th/DY/ji4p1VtXrxpXSPOXBQsaXP5H5sHAOSrxT9zztSqxSXkM8UwDDNDuFxgXL23IykD/3H/AJLZHE6a78fVx5YX69xud1Ef0JnETJP+0dFROJ1OzJ8/3w6O27BhY9bgcDgQDocxPj5e1GORghO5knzGq3MBHWOmIxu/0kpvCelAI/+VCrLJOSAQCJj8A0CRraDf7zd/kt8wcUC21ZGirw6smJI9HSuBbPWjgxQSAUw6jnLcn21teI3/9VWduPHhQWzqieLAWBrvue0gfnB5NzpaGpDL5TARieKZvgQ27RrAowfiZnKf05G3OrxweRjnr2qFkU4eOT6/Wf1F3k4hlxVkavIqkOd2tMmUyaPkvxQsWXEk2/9QJJY9IJmYoCa1MiAu96/jB9XO26UShyWvpCUpg8c/eXIERg44b3kDVre6zCRLK8HS6r7YOZTElsNJuBzAFcc0VHXsU4Ha1oscmM+Vcp+tlJdtHUjg5idHAADvObkFazvya4HZSrQECq4TM4UDBw7A6XSioWHmrq8NGzZsqPD5fKYeo1Z0yn7MMmAodaR0Oo1QKGRaOdfCA61Qqke5FWRlu65ftQ6qQwndKaWLDzkPOSO1NVnwQ/2r3D5ZcS3Hy4p3yO1w2+TwOsgWSgAmFYCUCjgyEVQ35rI9Ip2HOGfSuZD7kQmO/F06PKltoNgGk+9V7cQZZFcTNmQiAbdNniXbIXJfRa2IlHtbtpOSCaqydVWtYBW9FZ/nmkfVotX2jzxX+bo8NrkWmklkjRz+55lR/PbFfELnMe0+fHpjOzpCk0OF8jtWbn1Ty/dfBa/5VLdTLdTWq9ONVCplBsdLJeXYmD7Yo27DRgkMDw9PmrSB4n6NMjgo+6sAMMUhVvnW8wFbSybWymYnTuoO4KlDcfzmxQlce173pIlGEj0KXgTtbGTPmFQqZWby0d6HgVqVwJCMyWNXg6LMjCSsJlUpskkw0M8AI/eXSqUQjUYnBUxJwmh9xGN6zaoGrGn34SubB3BgPIN//vNhvOP4JK4+oQ3ZI8czr8GD6y/uwm9fHMfPnhkFj/r3L47gmYNRfOLsNqxo9RbdQ5I4M4MVKGS2UvylZTh7bXMbFGLZ94m92GnfJCED2LoqKP7kYoGLJYqlQIG86aqpeJ3VLLpq7s1cLodQKIREImEGByhgM2OV58WEC3kMJJ+q5SqQJ3qPHYjj1q3jRRVVpy0I4I3rGrG+01dWcH2xP47heH4cz1oUqGsPGF1VTSW9YFOplDnuRi6Hbzw0iN5IBl0hF65V7Cx18Pl8lq4K042ZJprE8PAwXC4Xurq6ZnzfNmzYsAHk57vR0VFz/pZg0Fdtk8MkJj43GYRktXW9LPdkILNSUAxiFS7nR7UKRop6qg0ex4EiIStUVC7NIDgFPIq55J7quZD/0PFI8kWrhFAr7iKTF8nJgGJbdFklxPMtxy8o/El87Kx8H79bXhzHcDyL99x2EP9+yUI8tj+Ku3eMYjheECOXNHtxwbIgLlnTggb3Eb7ncSF25FSlPSOFWO6TFd48XlqCMglStUgHChatwOQgMdsZ8TVWKyeTyaLKH8lvdP0+6xHc5HdErtPo4EWRVI57NpvF4wfjeLYvAbcT+PuTWs2q+lQqpa2mLrWmY7X4OUuCWmFxupBIJLTPhEqeEZWO+2gii+sfGEQ2B2xcEsTla/KB4dmscpqNfedyOezbtw9Lly5FKBSa0X3bsGHDBhGLxSzbepCLyUpqapKyQprW3yy2qFdwXFeoUg6sYGcVO513JMiLAZhapXwP9VfZvpE6Giu9AZiFIyz6kBxcDU6pAUw12GqVKKebW8mvmEzG4pZcLmcmJaptJFn9XG6uJu/TzYmsbuaxq+2JeO1VXsa1AW3MZXU4EwrUceY9xzG1KvqQ+5KV8dS55LnQopsuOGzdI9ccatEHkyGmyhGYUMox4DqMjjsql9e5AVDbpbuW+j2bjT7TQ7EMvvrgIF7oz4/7649pwLtPbIHHVbieOlSSmG3lCloJ6Bo6W7yymrag9UIymcTevXuxdOlSu+f4LKCqK/75z39+UkXAvHnziv5+zDHHIBQKoaWlBRdddBEee+yxstv95je/iTVr1iAQCGDRokX42Mc+VvQwKbdfGzamAxTi2K8tEAggGAyaFQ6sgAAKE1kymdT2Tkmn00UWN0Ce1NXaz7GaSqFgMGg+3A3DwFUbGgEAd+0YQ0//mKUdj6wWJhiUZQU538eJXRIe2ZeRZI4kSVaMBwKBIlFT7Z/tdru1WZWlJqxYLGZuh8coK9zluPM8dARmWYsXN752Pl61LAQjB/zPM6P43D19GE0USILL6cBbNzThhtfOw6KmwnntG0vhE3f24pYXx2AcEXJJqGhHzuA9x4PVRnLs4/E4otGomXAgLaBcLpe5ECLp5N8o1HA/DP5zP7Rwl5U8fB/3oSYwqNmjfr9fO3FXm7TBXvc8DtrWcBzYP4hZo/J7JBMOKPrGUhn87oURfOD3h/AfDwxg60ASbidwycowvn95N/71VZ3Y0OWv6Pt3/QOD+fMH8Kk6VosDMHsi1QKOwa+eH8MTB+PwOIHrzu1Ao688kZqO1g6VYjaIJjEwMID+/n7E43FMTExgZGQEAwMDs9rL6WiHzSttHE2IRqMmp2EvPckrKTLJQLLKw1iFrHtu1WrBxv6HlcwLkpNxTs5kMkgmk+ZcrYo9fB3QWzwC+fMk32EvRimCATAre2n9HY1GzfGQgXXaVAIFC3Y1MK4bKysxmFXDMijP89H1b5acpRxYySTx9ye14Opj81x9ImXgY3/ch/97dgjD8SwavE5ctqYBN752Hn7w+oW46oR2dDb4TMcBJlDyucYWUJlMxrxvOM7pdBrJZNIUGckrZJ9w8iSv12veo+RaPG+Kuhx3aXlIjslkEGmpyf3z2tISUxWkq10ryUp9BsTlukDySsMwkMoY+OlTowCAN6xtRJsfpvjr9/vNdYPa316HgWgGm/fm740r1zZWddz1QK3crpI+5Fkjh69uHsBwPItFTR589Iw287rNlng5m8JpLpfD3r17EYlEEI1GMTY2hqGhIQwMDMwaxz7aYXNKG0cbRkdHEQqFzAAgOWUwGITf7ze1J2p4ks8Q7Mks7ceBQo/vWiD1pHKgLgbAdGqRvFLdDoOfbGupJvCR98i5nsmf8XgcoVCoKDhObZIFKgCK+A+tsmVBiXRQ5H5VsF2LCrfbbXIvuqyQrwGYdB3IOdkOphxKBSOpicpWgwT7fTNhgJxOtVpn8RSLaWKxGKLRqHlO1MPdbrfJ6xjwJ7hNBpxDoVCRhT35F/l+MBg0uSq1TzW5lK4BkmfWq28zOSvHX2rHKqdUC3sAmMfr8/nMMfZ4PHV1aKgWW/oSuOaOXrzQn0TA48B157bjH05pNYPiQKEwqhZMRV+jY+1sIBgMzpo2GI/HsW/fPiQSiSJeOT4+PivHczSh6jTm9evX45577jF/lw/n1atX4zvf+Q6WL1+OeDyOG2+8EZdccgl27tyJjo4O7fZ+/vOf4zOf+Qx++tOf4qyzzsKOHTvw7ne/GwBw4403VrRfGzamAxRsyk1YzPpiliUnEGkBw6w3ClcUZ6wspK1A8awa+0ySLT7k13X6ccI8P57pS+R7jZ+hD/bpAlgcC7XCW1aFs78dz5vZiCSqFC/NIKawKIzH42YFOickEhGOqbRYImHiOKbTaa2ILCdW2gypEx4DrtKyBwACHic+flYbjpvnxw8eH8ZfD0Tx0dsTuPbsdhw3r0BaV7b58P0rl+Injw/gthdH8/sygJ8+NYqn+1L45MYuNObywqw8H9o58hhImGizKqu4mVjAyhwmXjC4nslkEAqFzKAy7zP2KqdNO7Mrpf0Tg6VS7KVVpsvlMgVooGDVVY+KY9VSqRRU8YuZlyTCSYcXtzw3jj9sG8N4Mn9uDV4nXre6AVduaEXYXR35fP5wHCOJ/GfOXlzfanHC6n4sh3g8jicPxfHzZ8cAAP94ehtWtvnKfGp2q3pohT+b6O/vR39/v/m72+1GW1t9Ex5sVAebV9o4WsCgZDmwzQvFK3IGWj8z0MjKEPIitdK6ElT7fs79FLzUSp1qoavGpeUigKLkS6BQWc6gubSZlP3HWW3A94ZCIbNaRk0mlLyS26egRV4qobbyAfTjSH5Wjitxexkjh6cOxXFPTxSPH1DsxAG8//QOXHlsG3zu/LMqEokUBf157GoAl9wwHo+bgifFO5/PNykZkk5XDArT3UhW88jrxnGU1eK8P+W1lX3JeZ0oDEorTBVTsVIvt4ZLJBL43bZxHBxPo9nvxLtO6YLHWehJGQgEtNahVtf0D9smYOSAY7t8FXGyeoN8v1x7AR3KjfPPnh3FlsNJ+N0O/PO5HQh4Zi/RkdB9F2cShmFgz549Ra+1tLTYbXtmETantHE0gY6IlUDyFDr0UYdisI5uPHyd7Wx0BSQ66Nz9yoHbZmC6Gq1Al2ypapjUIhmY5HiRU3PO5JgwWEtXJDpPUq9hUJMaJQP1TDCQToeyApuv685PnceYwKm+7nK5yvJKeawq6ApJ55xAIGAmxtI9k5qqDFJzWxwbac0OFHp9c9xYEMTkAAb6mcDBa8cx5DpHnhcrsiU3V23avV5vUQImrykdkerRH1omRpbTKtXvCTVWtquRgXr12s4UbzByOfzmhXH87NlRGDlgabMH153bgQWN+uRqtjmtVj9U75FKoVr5zzTKXePpRjQaxc6dO4teW7JkySwdzdGDqgPjbrfbMgPy7W9/e9HvN9xwA26++WZs2bIFF154ofYzjzzyCM4++2zzs0uXLsXVV1+Nxx9/vOL92rAxHaCAVAk4cTNQp9pEchLU2STT1k+tZCZB4d8o5tUiQKoB6KuPazrSpzCCt21oQle48CiQVjgq+DcegyS+/D+D1SQirB4hsY7H4yZJkpXgtMmUpAwokAZdP2S1n54Oqi0pg84km6zcp3ioTvwkepevD+C4BU34t3sOYN9oCp/ddBhXH9uEt25oMq2rXbksrtnYjTMWh/HV+3tNy8unD8Xw/lv34sNntOLsxaGi81XvMdrNM7uXgV+VCLIKhpAV8V6v1+wlLt9PsioraaQoKhfx6XQaXq/X3IfOMt0KldyjPLap9EjlZ3f1T+DWreO4tydq9tzsCrvxhrUNuHhFGH63Ez6fp+qg7Fc2F6rFP3n29ARPueishHBKS7De8RS+/uAgcgBesyqMi1eEy+5L7cc+06AIP9vBcYnW1tZZrWK3YfNKG0cPKhUvgbxwxqTGWCw2qeLZ7/cjnU6bVTEEeZj6nJXuKkyEm0qilEzSk21hVJRKAKV4JoUiHhOFMFpZyx7I4XDYrMxgciaFQgbJyekodHLs5bio85HKs2X1kIQ6thQ/5TkwuZGiKP/OKhm+5nQ6sf1wFPfsmsCmnWMYTRS2s7zFg1XtAdz10jhyAH78+ACWNXuwvsNTNFaErJyXcDqdiEajRdW97LMp+37L7amVLlIATqfT5pqFFf08P+mmpc75/BwTFCg2l0MlYqG8X6rhORPJLH6xJZ9g+I7jm+HMppAWyx9Z+V6uYjyWMnDnzgkAs1MtTiSTSdNVqlTQmMktleCx/TH8+oV8xcpHz2gzHbJqET3ridmqKCqF9vb22T6Eoxo2p7RxtMAwjKp4pQzMyec29UbqT6oDJjVOq2e9TJSTji3VQgbI1YpsK6g6nxrEJ39goiJ5NZ0SOX5szUMLd1ZnM1EQyM+tMuFSthvkTzVgrfI0tp2U0Gkjkm/xc5lMxuTMcj/U86SGy8pq9VqwSIbFObQGJ8+TnJ2vqddBWpwzuYJcXV2PSAt1aqpMTpXBdx6bbsxYVCbHmpBB1Hr3o5YJwLUGS/k52e+e256NloYTySy+8dAQ/noof50uWhHCB05thd9dWgvjuqHcd5vXeCqYrbEh5lpSm9/vRzhcXue1MTVUrQa/9NJL6O7uxrJly3DVVVehp6dH+75UKoUf/ehHaGpqwvHHH2+5vXPOOQdPPvmkSS57enpwxx134NJLL61pvxLJZBLj4+NF/2zYqBSliCYrTWhTRDDo6/P5zEpbmXlISxcpRLAPDv/Pf36/3yRPwWDQ3E4tkKJSOp3G+iNV49lc3ooZQNH+AJikhZB9qEmqJDmhMEi7bwbzWRkvSR9JpbTFlr1zdOdZjhzrhDOdvR9JLjMMKS6r/YaYQUk79kQigS5/Fje8pgsXrchbq/98yxj+330DiGZd5vGnUimcMM+H71w2H2ctLljPTKQMXP/AIG56ZAjxdP5cmF0qA57y3DleJPPqeUjw3qOFEYBJ14eiJC2JZJBcfT9QyCbW/a0USt2nvJcTiUTF2cdW+3ixP4Ev/qUfH/j9Idz5UgSpbA6r2ry47txO/OiKbly+phF+t7Mo07VSyGrxjUump1pcgqK0hMvlKro/aNU0Mh7Bv961HxMpA6vbvHj/Ka0V7YPf3dnEXCKbDocDra2VjZ2N6cPLhVfanNLGVMDegVagoxArVPkZBrp9Pp+Z3MYgMYUy2TIHKPT4k/+AvLBGQYzVQbVCFeB0UDmyTjCU9ozSgYgVGqz6kMJXJBKBz+cznYZYvSKrdDimahsYefw6IVIGlnXnxYogCY5xIBCA3+83xUaOr9/vN8eCduyHhifwy6f78d5f78QHf7cPv31+BKMJA81+F964vhk/eMMS/PjNK/CR01tww2WL4XIA2RzwmbsO4eF91vcRq27kuEpnAVXIlZDXh/ce2/hQxOS503aUwmcwGDTdnuR4qwmXoVCoqNXSVEGexOtcrZj2i+fGEEkZWNrsKZlgqN4LuoDy3bsiiKVzWNjoxikLJicozCT4vVETJfi9obBO+0/Z7kBF70QaNzycTxS94pgGnLs0n+BLa9rZBPuzzhU0NDQUffdszDxeLpwSsHmljamhXMsWj8djaj4EC1f4utT3WNACYJImodPZuH1qfvVyhmPfZhVyvid0vcDlsVPn43vZWkW2cvH7/WZQnMFonpdsAcm5RroaSeha9MRisaJz0V0v9TVyJPJ9Ov6QV5L3cy5n4RXncbpTMVmSAV5a1kejUVOz5TnyONT5lL3Qg8Fg0VjT2UryQhVqX3E6WlJblQU48jNc3/Cf1AzptEjwWllx/VrAlkHkSNOhndGVSWK6K5V3DCZxzR29+OuhOLwuBz56Rhv+6cz2skFxIh6PFyW/EvL+4LUtxyutUI07xXRhtnmtira2NtuFaAbgyFXxTf/Tn/6EWCyG1atX4/Dhw/jiF7+Ibdu24YUXXjCtSP/4xz/iqquuQiwWw/z583Hbbbfh1FNPLbndb3/72/jEJz5hZvd/8IMfxPe+972q9qvD5z//efzbv/3bpNfHxsbQ2Dh7mdw25j6SySR27typnQiZSShJlk6I4cTBfijqeyiQsRq41CTAqmvalJeCtEYi2ZFZeRQyXuhP4NN3H4bLAfz0TUvQ5p+8HdknkFl4JAokVhRdaHfp9XpN+0R+Rk5yFDJZES8t/2hxRLJJIY/CJ7cvg8hyolAnX12VM4+J+6l1Ar63J4LvPT6MRCaHZr8T157djhPmF2zieY737o7i+48PISEu//wGNz55djtWtxeLJ7xnYrEYwuFwkY0qiSHvSWn3pMveU7MtWSkkyQzvTWYKAwWrSz6P5WJH14NUt3+1QozVbaqtZi3IGjk8eiCGW14cx/bBwrU9bUEAb1zXiPWdPrNySL13q8E7frMfowkDDgC3Xb1wxgK6TKihDamKXC6Hbz0yhHt6omj0OfGt181HR6h8ZuZcqdSe7SxQidbWVnR3d8/2YbxsMT4+jqampilxqpcTr7Q5pY2pYHBwEH19fdq/qTzEas5iC5pEIjHpPbKXntpTWwfaaVfCf6R9OXmJrBbh90zdvq79ieQLrF5nCxgmR7KahwFvp9OJeDxu9n1mIJp8wufzmZ+nK5AMsvNYpGUmnY1kdYO0VOdPmcxgNY/KavVSPCedzeGJg3Fs6ongrwfjOGJwA7cTOG1hEBcuD+GcFa1IJydfkwNR4CO/24sjeZX4+DnzcMHS0gE4Jury+rCHvQyayutBDprNZpFMJif9XZ2/mSRM/kguz99VXinbSMlekiq4f0JXpUI+O5Vq5QNjaXzoj4eQzQFfvLDT5PA6yHWH0+mctK7LGjm893cHMRDN4sOnt+I1qxpqPq56g6IxRfBqkMwYuPauPuweSeOYdh+uv7jL7D85m615JObKcQDAsmXLEAqFZvswXpY42jglYPNKG7Ujl8th9+7dls8+XdWtyl8YMGWls/oeam6yr7IVqL1U+iyWLQWl3sRiEHI6Cd05sNJb/p28jhxOug6Re9Cxj+cvdTZyTyY3qnqm1IKldiffp0usJG+V2qRu/pLnyWtU7zmOmp7aqqgcp6L+mEwmTX7JZFBqilx/yEp2cmO5D50Gy+tDbZLcX2qV3Dbt/qlx858u6Vfl5rpzpZPnTOll5caiXsjlcrh9RwQ/eXIYGQOYH3bjunM7sLy1tqRC6TY01XZaKma7PQ5RjVPqdMLtdmP16tW2u2WNqIZXVhUYVxGNRrFixQp86lOfwsc//nHztd7eXgwODuLHP/4x7r33Xjz22GPo7OzUbuMvf/kLrrrqKnzxi1/E6aefjp07d+Kaa67BP/zDP+Bzn/tcxfvVIZlMFj3YxsfHsWjRIpts2iiL3t5eDA0NTXqdwUXeV8zSKxfoYTBZ96Cn9V85saLShb/VhKKzwvncvQN4+lAMlx7ThA+e0my+zsm5VHCRQW1um+STVkyyjzXPn4F29i1kxqVKTvg7kwbcbrdJaK0qnOQERssd3TiQbDKrk6RWZkxWit5oDl+6rxd7RtNwAHjrhib8/WldSKeKCdVIyonr7zuEFwcKr7scwLtP6cBVx7chmSgWHnW28erYSPCay3OiaMgqcvX+0l1PNTFBhRVp44JD2mkSFKmnSpoSGQObdkVx29Zx9Eby18njBC5YHsYb1jaato7yWLm4qnYx8WxvHP+yKd+H+vylQVx7jr7v3HShFBn7044JfPfxYTgdwBcu7MTx8yqrSporgXFg7pDNlStXTsrWtVE56iFiqpjLvNLmlDZqhWEY2Lt3r7ZiXJ0jK+F6qrW4BPs7VhIwrDRRSXdMVnyAlTpqz2iZXGllT60m71GgYkIA+1KTz8q+ggyyU0xVe5fLpAIG0suJuPK8rYLeklsHg0GkUqmi19LpNHYOp7CpJ4r7d0cxkSpwpFVtXly4PIxzlwbR6HNZjjVf651I4yO39yKRyd8r7z6xGW9e32S+jxbt6npD9hdXobuXyCkZSKfNJqu9WU2u8jqdhSkr6XX3o25dop4LK57k5+sVCP33+/rx+ME4Tl0QwP97lX4+kWAyCTC5j+T9e6L42oODaPI58Z9vXAiva25Vd9QyZjIRs+lIImb7kUTMuSJeAnPnWLxeL1atWmVX9tSIo41TAjavtFE7xsfH0dvbq332qW1RKuGEcs7V/Y3B31KoZn1fqnhFgkmf5H8EA/ayHaKO08rqcVnMQTc+2Q6T/JD6EQtwWN0sj5cBWLYklIH+UnqLnK9K8WjZqpI8mHpxtZqaeuxqkZfV+6jnqg6TQL6lkVXBlk6H5TmRS3OsmEjG9kMSKkeUhTdWbZpKcR2px+sSQ2dDJ2MiAHvX1xvxtIFvPzqEB/bmx+SsRUFcc2YbQt6pB1rrzb3mUpLjXDmWjo4OdHV1zfZhvGxRDa+cUgOAUCiEY489Fi+99FLRaytXrsTKlStxxhlnYNWqVbj55ptx3XXXabfxuc99Du985zvx3ve+FwBw7LHHIhqN4n3vex/+5V/+RZsdoduvDj6fz7azslE1pGWjBCdTTprV9FVjnxq1Qoc9yWXvQdmrkCJhpSSIpE4VBIFCvx5WjbjdbrzrpDY8fSiGO7eP4Y3HhIt6jfO4SZLkZM3Pc3tMGGDAmxUhDLQCMIkIA+aEFCg5ngyeJxIJkxCWm3jls4IZhDqQMMvt8ZqysrnSiXB+yIHvv3E5vvXAQdy5M4JfPj+GrYMp/MuFC9Dqd5o9QjtDLtxw2WL88tkh/M/Tw8jm8paYNz8xgMf3R3DdqxZgXoOn6NzVc5OvSet1eU7MtqUIygUOEwsSiQQcDsekii/eG9KmlfehDCzzHqZQyusovzMk0cz+pRNArRhNZHH79gncvmMC48n8NW3wOvG61Q24bE0DWgL6Sm4ubmohNV99sNBb/GNnzh2r7e2DSfzwr8MAgHed0FxxUHyukDtCbcMwG2AwwMbcwlzmlTantFErxsfHJ82DnNdltn2lz2rOrdL2UfZ4lvxAFS4oEqo9JHWgYKNL3EwkEgiFQmagmpU+gL6qiOcoj0UGwVmVzoodWj1zH+yJLs9RrQiX55jNZs12ODxfwzAqrn7SQTcOrJzh9shlh2MZ3Lc7int3x7B3tDDftQZceNWyEC5cHsLi5snVGqxokuPEnpiL3Cn85A3d+OAfejGRNPBfT49iPGng709qAVCoRiKPY0UQ3Z3kmkW2ypFjy6QCtQqHfdplgoMUPg3DgMvlMtcMvAbJZLJI2OY6hxX85LZMMpa9PIGCdSkr/etVOfVMbxyPH4zD5QDec2T8ykFN9iByuRxuezFvgXzpmoY5FxSvFXfvjOCeniicDuCT57SbQXEAZfuXzyR4X8w2rwyHw3ZQfI5hLnNKwOaVNmrHyMjIJE5CzsY5UvbLLge2XKHGJLUfuuvI/fD5z0rxSrUeGXhWn9msQmYBS6nWe+Q75C/kD9QfybGlAw3tnskjXC6X6VxjGIa5P56XDJRyP+TsUkejM2cmkyk7DtW6tjBoL3nPVKuLWbTk8XiKeDR1VzkGdKgi72bypa7/uKyUZztRoNiNieMVCASQTqcRjUbN9QOTS3ld+VosFjMdo3jMvB9ZQCX1daskRlnsReciulTNlk5GB9bpwN7RFK5/YAAHxjNwOYC/O6kFrz+moW48pZ6V4lN1gKo35gq/tR2IZg5TCownk0ls3boVGzdutHxPLpcrmX1DQUWCC3mrL1sl+7Vho1aMjeV7brOKx+/3I5PJTBKUqiUknMjVnuTMuAuHw0VWNBQdSBrLWTmzypikTUKd8Nlf6Lj5IRw/z49n+xL49fNj+PAZebsvSdpIXNPptJmZyc8Tfr/fzCYkySTpIgHi95nV2czCzGazyGazk6pCpIBW7cQrq8BVqK/J7deSqZdNJfCxjfNw7LxRfOfRIWzpi+MfftODT23swtkrWsy+PwDwlg1NOGNpE754z37sH8+Lf8/1xfHe3+zCh05vw2vXdcDpdJr9M7PZrEneKYKXyoKMx+NF2eeJRMLs8y7vI1XsZhCcgXVJ0GTSAquEAH1/RaCQoMDFCYPt1RKMg+Np3PriODb1REzr0K6wG29Y24CLV4Qr6odTi2370wdjGDsSgL9gWXBWemLrCOtoIovrHxhAxshne75pnXXWGxcOzMilO8N0ZKLWgrlANln5ZmNuweaVNl6JGBkZAQDTnpEBcTWYW40wIxMH5X3NwCiDlBSNyA9lFUq5OZKikWp5zcAruQJ5HKDvy83PAIWewOQkTBBVLdYZTJVBXfY6VCty5LNcTYjTfbYWFxtpkykhzzeVzeHRXeP407ZhPN2bgHFkF16XA2csDODCFWGcMM8Pl7P03CO3ySA1OXJ3qxf/+UYP3n/bfgzFs7jlxXHEMg58+LRmcxzk2JCfywolPkNZEW61nuH1l3O2bhwYJGfFFqv22a5ItQ71+XzmPcCWU0AhoUFeGwrQFJzZpmkq9o1ZI4efPJn/Tr5udQMWNk3uC6qDFWd4oT+Jl4ZT8LocuHT13LFQnwp2DiXxgyfyiZjvOL4Zpy9tNr/nDDrMJcyFhEtbwJx7sDmljVciqEtyjqb2xj7UhEzcqwQsbJGcj/bXLDhgyxtyK5mspvYl14FBcV21suR2KvfQgRqXfB+T8FSOzeA9g7M8fp/PB7fbXVQRrxYYkfNwrBm0JXehLlwJJ5HvSSQS2ir3ctupVkdhsqI8PyacUn/m37i24DGpvJLtk2TLolAohGQyaQbRWTilguOayWSKqs11SY9MlmWBD3mgLpDN82OPe1mU4/F4tAkLPAegcI/PRmB2OvqXA8B9PRF857FhJLM5tAVd+PQ57VjXOXdcEpm4Itcf0pV3tkEn1tnULJkUbWNmUFVg/Nprr8Xll1+OxYsXo7+/H1/84hcxPj6Ov/3bv0U0GsWXvvQlXHHFFZg/fz6Ghobwve99DwcOHMBb3vIWcxvvete7sGDBAlx//fUAgMsvvxw33HADTjzxRNOe6HOf+xyuuOIKMyBRar82bNQT2WwW0Wi0aGLUTZK1ZMrzwa8+8GnDE4lEivocygqgSjIDSTJ1wqrVsTocDlx9XBOe7Uvgz7sieOuGJnSGi8mqDBozA49EW1oIERTGZCUJCU0gEEA0GjUf9Gp/aik6kfBXSlLUvtJWAU01QMjALa9LLQTF4/HgvKUhrJsXxhc2HUTPSBqfvacXVw+m8LZ1IbiPiKCGYWBBEPjJW1fhuw8ewO+3TQAAYukcvvbgIJ48FMcHTmlF0Os0bXWYMUtCKM+R50wbUd2Y8FrIXpxMuOBrPGcpePF6sxenilQqZSY8SCE6l8uZ4hSvL228yt3DuVwOWweSuOXFcTx2IA5eidVtXrxxXSPOXBQsKygTtWbTfu3hfAsFB4CPnjE3qsWzRg5f3TyAwVgWCxvd+Kcz20oGdVUrNNk6YC4Ex+cC2bQFzLkBm1faeKUjFosVuQ3xNQlZnVMN1OoOAGYgm/M57cNlZQhgHcCWIBdVn9W1JIdKbiX5ChNBWSVEvigTAWXipGrJTl5JZxyVY6vB/2qCZ7lcrmh8dfNnNpvF1oEkNvVEsHlPFNF04TzXdvhw4fIQLl7TBpdR+X5l30vJrxhI9rty+PHru/GR23txcCKDO3eMYSyRwb+c224mLbD6i59lsqqsmGFig3w9EAiYyRU6MGlBHQNWqVHMJOgsABT3yiT3lqCYyQpKKZDzGHk/MqhfSwLkn3dFsGc0jbDXiauPayr/AXHuOty6NV8tfsGyEJr8M59MWW9MJPOJmGkDOG1BAFef0Dbpe2WVKDJbqLYV1nTA5pWzD5tT2nilI5fLmdXifO7p2gfWEujj9tRkSOpPfO5zvlcD75XwQqvWklat70ol9vP7JwsAWH3Mn0ymY3ES903+yOpj2TucCXkMmsuCERb1ADCtwKup+GWCLI9ZN3ep3EhWpwMo0uoqhWqlznNQ1ydAoUpdFliwkEgmM5L7cZw5nmphE/VEJm/oxkTyK9l6kz3fpRsAExpoMS/dVslPeX6yKlwmVMqe8dJRYKY5Tb37iqeyOfzor8O486V84sGJ8/249uz2OcdNdQ6tTGCerl7r1WK2tcpAIDDnklBfyagqMH7gwAFcffXVGBwcREdHB8444ww8+uijWLJkCRKJBLZt24b//u//xuDgINra2nDqqadi8+bNWL9+vbmNffv2FV3gz372s3A4HPjsZz+LgwcPoqOjA5dffjm+9KUvVbRfGzbqAcMwMDw8jIGBAZNAEbqegqV65pWCzuqN1nw6IUvaQZZDqYAuCYduojmhO4wT5o/jmd44btkWxcfPnW+KkhRV2V9GVj/zeHlsXq/XrEqhaEoB9WbSpgABAABJREFUjWInP8tjVfuK06aIGZ2sTpd27E6nUztJUVjm5yXRJCHjOan9c9RECBJSHqfOml6Cx9Phz+H7b1yBmzYfwO07IvjFM0PY0hvD5y5cgM5wQZT2OIH3ndKKUxcEcMNDgxhJ5MncvT1RvNCfxHXnz8dK5Ek2q3B0Ve1SMJXPVWnZL0VQkkqZbclqIoJkm+Kl/C7oRHXeB16v1/yMSnYozFsRzqyRw6MHYrjlxXFsHyxcm9MXBnDlukas7/CVDATzOJxOpxnwr6Ua+MmDMdOu/cLls1MtrsP/PDOKLYeT8Lsd+OdzOxAs0RfIaoznitUkMdtk0xYw5wZsXmnjlYpUKoXDhw9jbGzMbEMCFPc4JKQVZLXPaHXRzHmQ/2e1G5+3Ho+n6D21gMdrVRXCoKfs/0jeLAU0yQklL2HlEHkl29JI0NKR22CCII+HvFcmYsokPckLrSoUWL3Ea8e51efzYSCWxd3bR3HPrgkcGCuMZUfQhYtXNeG8JX4saDxSiWykisSecpxSztV0GEgkEqaYGggEEADw329bgQ/eshsvDafwyL4oPnVXGl++uMsUC7k/isEUGnW9OuX/ZTU/j5dJlel0GpFIxGz1xHFlkobqTCDPgcm7vD/Uvqd0e2I1E/efzWYn8QUmZ1bLa2IpAz97dhQAcPWxTWZvdx3kddf12ASAA2NpPH4g//rr1778ewIbuRy+8dAQDkezmBd24+NntcHldEJ3t86Vyh4gfz/MpjMSAyg2Zhc2p7TxSkYkEsHhw4fNwCB1Ch13ZBVtIpGo+rmozrcyeZNzL9/H4KUaQK4W5JU6Vx7yPckrqfVQx2IwN5PJFOmdspiJTkocD8nDpG03IW3YgQInohuTCvYBt2rlJ23pyW9VzZecSh0DeRw8frUgqByvJD9mYqGsepftO1OpVFGrT+q9Xq+3SFeULpLyb7wfWCxFDsdiGyZAci3Cv3EMmDDA96fT6aKe5nT5kK4FDODL4+Cxy+2Si+oCsOSdlVb/1wLp2lTvKvW+SBrXPzCIXcMpOABcdWwTrjq2qeKiompR6xipRXVye3MpEDzbxUS2VjmzcOSm61s/B1FN83UbRw/S6TT27NlTcoHPoK06gbKat1JLPyvCxx5+sVisqOJF9uorl8FWiThktZ3nDyfwmT8fhssB/Pj1C9AZdpv2jRS+mBVIUsWgN+3rpI0mX2OA1uVyTSLL6rHojp9ERpJt7lcl7WpCQam+nSQisuKawi3/+Xw+MxAv7ZV0Y8pFh0xuuHvrAG56dBixtIEGrxMfO6sN569uN0VBZrIOjsfw3ceGsHmvECkBvPOkNrx1fSOCAX/ReXFfqjUQzwXQ980kMaXtlIS851SSJntNyQotaeHFbFH27yz1XSDxdjgcSGQM/GnbCH7z3DB6J46I2U7gguVhvGFtIxZVaG/J7dICTO3FVCne/qv9GE8ZcAK49eqFsxYYl9fjoX1RXP9Avuf5Zza245wl1iSpHMHWVdPNBmjRNVsVPi6XC8ccc4xtpT5FHO2c6mg/fxvWGB8fx/79+y3nQoozOjGT7XYqyZinSCifpaz4ZdBXDYrr/m+FctxTF9yUUHkdA9Tsxaj+XQbUVR4ihWByUt3YSWtLq6okimjch1WFguQVPp8Po5EYHtkXwz09UWzpS5iuNj63A+cua8T5S3w4oTsE7xGrSfkPKDhEyQRSHaQASD5L7sYqHgo2DocDn72nD0/35re1pNmLb72uC+4jIrLkQxT8mOjK+9CqVzv5n5WlKd+vu0/kazpu4vf7zQp4KXqqjgA8x1K8ksI436da7Uv819Mj+M0L4+hucOO7l3XDU6IfOI+FnF33XfjOY0O486UITlsQwL++qtNyW7ONSiuh/u+5Ufzs2TF4XQ58/dXzsH5Bk+X3W2cBO1uY7er11tZWdHd3z9r+XwmwOZU9Bjb0yOVy6Ovrw9DQkOV7yI/UQDh5gFUiowodH5JVuWqhg0xorCRJrRz3ZCtBq6RL9bMMsFrZbHu93kk9qAGYld7kpU6nc5JWqXIP3TxDvdCqjY/V8avnqb6fLQupp+q0Sl4rtlWyCoyzjSL5H4Pyso2NbLPE10OhkOlGIJNOGah3uVymLisD7DxunqfkY6FQqKg1ozrePp/PrN5XA5NWwX/Ji3n8tMdPpVImf660GpktCakTsUipHnxHuqiW4qrV4rH9MdzwyBCiKQONPic+cXY7Tu4OlP/gFFAuGUMHrkutxnK2uRzBIrHZrF5funQpwuHwrO3/lYBqOJWd2mrjqEYymcSePXvKioMMotKOmO+X2W+lqmcAaIN1nKAlWZOVMdwPt281UTBzkhXR3B+3x0mLfWDYV4bY0OU3e43/dlsUnzh3PmKxWJHgqhIbKRjKSTEQCJi2h8y01PXHkNmCzCgE8lmvtHzk8cvMQ2aIlhJkWCElBWb5fla08L06SHJqlb3GrERmUcoeOa9Z34UNC5rwhU0HsX0ggX//ywCeH0jhncc1IRAo2EV1NofxmXNdOOdACt/cfAjxDJAD8D9PDeHxfRP47EWL0N0YRDKZNKtWgsHgpL6iQMGiWgUXBKyWr9T2iVbpvFYykMjMU5JroGCDWQqpVAqjiSxu3z6B23dMmBXaDT4nXreqAZetaUBLoPqANPdrRbbL4YmDMYyn8sdy0YrQrFaL81z2j6XxzSPW7leubSwZFK/E2nauZGGWIsQzAbu/uA0bNqYLIyMjOHjwYMn3yH5+qhgmA7vlEi91QWlW/JKjyYpjNTAuq4NVMIhKXkmRSVYbM7hsxU8554RCoaJe1hS71L7APF9VDCP/ZpIiq4dUkB+xslq6JbFCBijYQMsx14mYhmHAyOXw4uEE7ukZwEN7Y4hnBHfu9OGiFWGctTiIkNdlVjSVErpU8VBFMBhEJBIpSnTksfOYpX1pIBDAFy7swg0PD+PengnsHU3hfb/vxc1vWgq3IzdJvGYyg+y1yYRFna0hHYF0x2ll014KFDA5VrwmDIrzflL7jJeCjvvoEvAORzL43RHb8/ec1FIyKC5hlRgwlsji3p48l75y3cs/iPV0bxw/f3YMAPDB01qxYWFzST6dyWTmjO3lbAfo7coeGzZsTAdyuRwOHDiAsbGxku9TK5tl9a7km6WCcbre3wBMLkkuIJPXJF8rV6EunWwYBGXAncfESlqdsxH1xUwmYyarqVXd8v8MrqqJlD6fz3QlIo+lZijBgDnfTytxtjv0+/3m9mXhCIBJv/N41OOki4/qGspArlX1Oa+D/Gk1H7vdbjOhgcmprNAnmATAXvIcV9muUdUPGXj2+Xym/ssgudW9Jnt7q2BQHChwxUrmdukOJS3UyV8ZiK4UVkHwegRteQ/Uq1I8a+Tw/z07it+8kOe2a9q9+MzGDnSEpj/MJy35K4XafkEFYwuzXbsrkz1mA3Z/8ZmHHRi3cdQil8vh4MGDFdn5Uky0eq9KOtX+OeVEQ3XyJQnjZygoejwebX8WGXQnKeLvMpDq8XgQjUa1AtbVx+Z7jd+1YxRvXhdGZ8hdZGsk7d6BAmGTlkoMpEvyaVW9ywxEkmdm84XDYbPfi6yGlmPEQLrMVFNJuLR9Byb3S6o0c5bbUskmyTZt29kziGOWTqcxL+zGly/qxP/33ARueX4Et7wwhq0DKVx7Viu6wm7z3JxOJy5YHsaqpgW48ZEhPHc4v59tgyn8w29344OntuKC5SFzjNVFB7NV0+m0abMpK4oYiGSWaDQaNTNogeL+jQSrtnjfSOspmZXLxUQlGY8Hx9O49cVxbOqJIH3k8LvCbrxhbQMuXhFGa2O4YvcFCS4qpmLNfcND+QC0E8CHTmupeTv1QDqdRixt4D8eGEA8k8OxXT68+8Rmy/dzIVpu3Gg3Ndtkb7ZBK1g7QG7Dho16IpVK4dChQxW9l9zKShwh53Q6nUX9oIFCUFv3WfIaycM4N/Bv0r5Rx1kBmDaLDIxLDix7ResqfAnyVgZhyaX4N9kzkMdHoZTJnmylI/cvxTMJteLH5/OZVdYcD/JHlZeqImZfJINNu0Zx7+4oDkcKXHFe2I0Ll4fwquUhLO9sKkoSULlqKeg4k+TLrOwh95TjkMvlzLmcQemPn9WKoAf44/YJ9EcyeMf/9eA/37YCXhRXdrPqSLYNUiv0mUjKc7GyOAXyAX7ydYo45PfkotyP3+837ysmXCaTSfMnxVRdr/JqwfGT1/S/nh5B2gCOm+fHaQtLb18Nzutwx44JpLI5rGz1YkOnb0rHO90ody4D0Qy+9uAgcgBevTKMKzZ0VCQAS/va2WyPM9siajQaNYMYNmzYsFEvjIyMlA2KE0yItOKVsh2irBgGMEk7ImRCpeSVLFKRLWJYmKI6N3I7qg233D+DzOR6sihGgloXP8OALwuBpH5KfkSewc+qrkOlWupI22fyWZfLZWpfDBrr9E5qZHKMVMgxkG6M/Fs1LTp0moaaxMjxSqVSZrW5nMfplKlW7dNdSFY8c1yZUMHPUN+WY0qtihqmtBQneN5c8/BeAmBeN3Jt3gO813j+TFqQfcfpTDRVnkBnV96n1YDrpnrypOFYBl99cBDP9+fH8IpjGvB3J1ae9DlVWCXS6ODz+SZdbx14/9Tq/lkvzLY+6HA4MDo6iubm5jlT2PRKhx0Yt3HUIhKJVPzArebBT2GMWWuyMkiCVtg6UMwDirP/SBYloVXt/XSZebQC5DZlhQ/tBzd0+XHcPD+29CXwy+dG8dEzOyZVnwMoqkIiaZEBWJV0WGWN0nqb2+c5qFl6VmSV4iYFtXITrWpJX211gTpByow3iookksxQzGaz8Lgc+PsTGrG2zY1vPjKErf1xfPSOXnzi7E6ct7LZFHGz2SyWdTXhxisa8astQ7j58X5kc0A8beCGhwfxxMEYPn5uN4Jej3mP0VKUlfQcVwZA6WbAY2f1lEx2IInktSCJl+ebSqWK7kd5TcuRzFwuhxcHkrj1xXE8diBuWo+ubvPijesaceaioNn7hoSbAflKQZt4iq7Vks7HD8QwcaRa/JJVs1stDuSv4U2PDmP/WBptQRc+dU6Htj+Q2p+qEvA6zhWrotlAPB7Hnj174PV60dLSgpaWFrs3pA0bNqaM/v7+ioWXSt9nGIaZgOh2u82+2lb9DXWCqMp/ZKW5FCqZMCjfq+sFR54mq0dodU6hkJyECZCyrzirS8g/ZIUMj0WKX5IPlKo2kGPCfck+5ITstSgxNB7FY4fSuGvHKJ4/LARjjwMbF4dwwYoQ1ncU3HNisVgRR6+GV6pV1up5kRdTEOFY6JJjiX/a2I2WQD/+v2dGMJY08I5f7MTNb1mOoNgexUiOF1sekeezQkryStn/UU0q5X0pE4Rp28njJD9jciaFexmY51pCBuOnClkJ9szBCWzeG4MDwHtPbikrejFhg1xerYpJZXO4fccEgLyjz2yLaOVQqldiOpvDlzcPYDxpYFW7Hx88va2qaiZey2r7vb+SMDw8jOHhYYRCIbS2tqKhocEWM23YsDElZLNZ9Pf3V/z+Sp+/DFBR01GT4wi69eh0FboGMpDFfVP3dLlcRUFqOUfq5ndZKSx5EbmBDNaSa7JXdDqdNnkHUKxxkKPKloJqcqRsKaNCtoqkdinba5KzWM2x0nq+Es1M7ktuvxKoCaNWWg/HkQkF5VpGxuPxouA+K+2p11GPZDIDnQWkjT3b3KjHyup0JuLKIqNMJlPEK1mQxePieNHBk2MsNR0m9spA+VRAnl6tjkZtkT9lO8xasKUvga8+OIDRhIGAx4Frzmgr6Sw5HaiE99bS4pLPkNnklLPN6Q3DwKFDh9DX14fm5ma0tLRMOWHYRmnYSrCNoxLs1VMpZEZdKZBYlrJzrqR/pCSROjIq7XfUSd4qiK8SW1Zk0CrT6/Xi7cc2YUtfAvfsiuCt65uwqC00qX+gDEYDxURQEs1yvSdJYHXWjervoVBIa6dDcVb2YywFioI6G/JyYDalrn8hiT9JNy2VaLeUyWRw5qIgVrR48ZUHB7B9MIV/v68Plx+K4u+FnSPH6opVAWxon4+vbR7A/vH8OW/eG8PW3+7GJ85ux7FdBbsnncDLADGtqJgZy4xJ2RccgLmwINxutzmefr/fPC8SY7fbXURydEQza+Tw6IEYbnlxHNsHC6Tm9IUBXLmusUhcluA11WUbE1z4UHRKp9OThHKOPe06eZySnPPnDUfsyp0O4IOnVF4tru6DSQpTzQa9desEHtwbhdsJfGZjR5G1PBcZ6XR6SmRxtgnnXEAqlcLhw4cxMDCApUuX2pZFNmzYqBnxeByjo6MVvz+Xy1Xd57tUT7ZSVUKqq5HufbJVi+RlpYQkdf6QPfwoVso2H5zbU6lUUcWFWnHKfeoql3g+KlglQgcdKdKq5yQtK7NGDs8dTmBTTxQP74shmT3iVATghPl+XLA8hDMXBeF364Ncar/NakDxjyKlPF/1WnMMdXaf7IcYj8fxtg2NCHmAHzwxglg6h7/9ZQ9ufO08LGn2mtuhaGh13DrxRToDUBRlday0a2cwWj0X8mTZ5oi2/GzzJJMw6xlUjMXj+NHjgwCAi1eGsbyl2BqegXlyRV2vUQBF7QTu2z6K0YSBjpAb569sgtvp0Iq/1YIJrExqZWLMVAVdq+eMw+HAfz87hu2DKYS9Tnz6nFa4a9ADKYof7YhGo6Yz29KlS2c90daGDRsvXwwNDVUVGK2Ui3B+tdIiGdSWDpQq5HytS6DMZrOmNiYT5QDroJO6HRYDkS/y/CQ/oM7FNjach1Rbd5mIp/YCtzpHWUUtj02t7JZjpkvcpJZaScIZNTq11VAlyOVyZl9wtTBLcnEeN/+uq2SmlqiODRMq5L0ji1LUpAOeg9rqUfYTp/7CtQOPjXyRDlkqx6DDgcfjQSgUMoPNTOCU7UMZyK/W+tsK5arH3W63yePowqmOpdPpNHkl709ySFWzJIxcDr95YRw/e3YURg5Y2uzBded2YEHj5FaaQKGKXvJKNeG43uB3gQ4FtRbiqEndRyMMwzATLzs7O9HR0THrQftXKuzAuI2jEiMjIxVPCJysKyGmtMW2mnSr7cVmZRdJqH8rFeiSgXASCxI0BiNPX96G47pGseVwErdsi+IT5zWZ1kQkgMwQ5f5IgGS2JW0rrQignOQCgUBRAJmTIMkABSpmDsre4Az8VhIUl2NWCzHSkX6CpEyt+GFPSFZ3L+0M4qbXN+AHDx/CrVvH8YftE9g6kMSnN7ZjfoOnSMBd0erDj960HD98tBe3bc1XpQzGsvjnPx/GWzY04u3HNcPtdEzqGU7yo8u2o20pEyFk0oPVJEuxmoSKyQ6y56RcoCQyBjbtiuK2rePoPWI/6nECFywP4w1rG7GoSU/cVNDlQDoGUGivJPCsq/DR4dF9UUSOVIu/dlXYtCeVlfaS1EqrKKt9MJuW5LPUwkYl+Vv6Evivp0cAAB84rQMnLW42jyOZTBYtRKcKW7DLwzAM7NmzB4sXL0Y4HJ7tw7Fhw8bLEIcPH67ofeQKlQbQygWbqhUNSi2odUmdpeYJtbpcVtFIgQuAWSEug97kYqwiJzfhMUreVe48WbHE6mceCwO1DPZSOHupbwybeiK4ryeKgVhhHl/U5MWrVzfh7IXeinv01Sq0yX7tKph0p94jksN6vV5T7JT89LI1jWj0ufC1BweRyuZwzR29+Mol87G201+UsGrFpQzDKBJ4GQBnuyT5OV5jJurqOLZ0k+JPiqFS9JROR/UMst6/J4odQykE3A78w+nz4HIZRTac7FNaDlwrGbkcfvVsPqHy8jUNyGUzSGs+Tu4oOaXKK4ECX6W4bJXcTGGZ93klY8T3cJ3idDrN4zEMA3duHcJtL44CAD5xVhvmhSvj6Dro2jLNFOZaUD4ej2P37t1YunSp7Uhkw4aNqpFOpzE4OFjRe9lSrl7PwVIFPjqU0lR1/ZqtdAw6Lso+1HLbTKKTyXjkfrJwACi4FbFCnO15ZAC3lAOP1+s1OSS1IcmL+DvncqmNMcGNbXBk4VQlkEmk1cDhyOuCOg5BXqcL0EqeyYKYUtoq+RK1McMwTNcYK91aJhJQT+T/gUKQnoVIPBa2lFKPU/5OPsT2j9LdiLr8dMzDuupx3leV6P1MfKwUkZSBbzw0iCcO5u/Zi1c24KNnd8HvdhbxTVbgM+FWxyuZmMD3S6v5Su9TFl3JIiFq+fUKZrMt0kxzvLkYfO7v74dhGOjq6pqTx/dyh83UbRx1MAyjKluiarKqSPxIztTPVhuUrbZiolx2YTweRygUQiKR0B5DLpfD3xzfgi139+HOHaO4+oRWNLkLEz8FD05SnERdLlfJrFF5fAzIymNiRiYJGydyq2QEGdCttMqTWYfMKgUwqR+67njZy5OV6yRZnKTZFxEozoYkQeR+ZcbcRzYuwLFdPtz48BB2DqdwzR29+OgRC5x4PG5mGXq9bnx040KcvmgU33iwH4OxLHIAfvX8OJ46lMAnz2nHgkaPWXVEAViOm0oimbSgEpZSFlcUYJm8wPNnZVYymcRoIos/bp/AHTsmMJ7M77PB68TrVjfgsjUNRVXPlUL2GqLgWm/c+KioFj+trWRAnZZT5UChv1oMRjP4yuYBGDngguUhvHrF9AqMuoznoxWGYWDv3r1YtGgRGhsbZ/twbNiw8TLCxMRExQl6Vu11rECbYgoYqpV1tZWk1QptpeYHiqdWrj2JRKIoiY5BadnrnFyKQWDOwTLAViooLgOr8pjI9xgkdzgc6B+NYPOeKDb1RLFtsDCXh71OnLcsjNce04olYaOonVEpkBdJDsYE0ko+Q4txORZqhYXsWUynJXJu/iO3lsd87tIQwl4nPn9fPzIG8Mm7evGFi7tx9vKgyWtLgW13HA5HUfW0Ki6ypZMM8nOdQ84oRS0G8p1Op7km4jlJa/d6cZ9ExsB/Pz0KAHjLhiYEHGnkck4zUaMW8e7Jg3HsH0sj6HHgNSutk+lYpVTqO1rpmrDSpNBy25DYO5rCt49w4LdtaMKpC6fumlOvaqxqMRdFwkQiYQbH1Wo5GzZs2CiFgYGBivldqSQ7HThvM0lTFs0Apa3FVVTrPldOd0ilUqZttk73kcFO6oA6VyQ1UUv9nRxEh0AgUBQoZLBZWoWTe+m2wW1Lh6RKA3vkJtJRKJVKWX5erg/IdWUCHM+dhR1qsiv5F3uGS3ciK4dNVu9Ts6R2K/uTW50bgLIcjxyaAVvOn1bfBzoSBQIB877wer0mr3S5XJbtAuoBrjmy2azZ6rTe2DGYxJc3D6A/moXHCXzwtFZcvCIMRzaNpBhuK9cCFTKRuVZwP9PJ+3SuXzOBuZZsSQwODsIwDMyfP39O8t6XM+zAuI2jDjpL7lJQCQR7oZTahqzqVB/mst9OKVDMqyaQXsl5kTRRsCKYQbi+04fjuvzYcjiBnz3Zj0+ct6CIcJOkcQxUomk1kZBwWfW6AYqzQlkNLompBEl1qYmLBImESrV3BAoBbJInCpMUN+UYqWRDVl+zolpaglr1Po/FYrjgmE6s627CFzcdxPOH4/jy5kFcejiBj25ciHSyuJrn+Hl+/PStK3Hj5kO4b1e+enzncAofub0XHzmrCxcuc5rZmip4fkw2YJCbVVk6UiTH1Ol0mosYjiWTFlwuFw6MpfGb50dw945RpI8M7bywG29Y24iLVoQs7UerAcluvYnRw/uiiKby5/q6VbNbKZzO5nD95gGMJQ0sa/HgH09rnRHCMxuB8Xr0eJoO5HI57Nu3DwsXLkRzc/NsH44NGzZeJqhmXspms5O4BAOxVnxGFTAk52LwuZwwyQoNZvRXgkrnh1Qqpa0UZfUKUHAo4jHQ9pKVTslksqjah/OfmkwpYcUJpGVkJBrD070J3Ls7ikf2x5A+YpXudAAndwdw4fIwzlnWCBgZBIPFfb1VkOMlk8kiAU4FeaHcDsVNuT7Q8XvZi1taH6ZSKcvEPV5PNVH0pG7gm5ctxMdvP4CMAXz27kP4+FlJvGp52GyLRAFWBnFlRZFqq04beplYSnFdOjpxHHh8qg0+EwLS6bRptyoruerFTW59cRyDsSw6Qy68YW0+6Y2ibCgUqtrJCwBu3ToOAHj1ygYEvS/PPtKxlIH/uH8AyWwOJ8zz4+3HNdVlu7KdwkxiriZ5JpNJ9PT0YNmyZUVJQjZs2LBRCtW4IeraycmiFR1kshW1HfKLajhiqSC21WfKPaupT6m8UroIkruwijybzSKRSJicmO11qCXK4iEr7sjqV10AlZbrUht0Op1Fdt0q6H7IgKlVe0DZ/9yq4pvvk9uh3ijHXlfEweQBmRRJTmqVdEfXJ9XdhhyQQXO5b8MwzIp/lVfK/ai8kvtiIDyTyZgJAixK4vYJ3T1KVwBeXyZykoNOZ+UxEz7VpIqpIpfL4Y4dEfz4yWFkDGB+2I3rzu3A8lY9n5irAd2pYDpt362QSqVmpVK9EgwPDyObzWLhwoV2cLyOsAPjNo46VGulIkmlJGiV9AoHCkE9fk79XQev11uU0chJ1uv1WlbOSgKsilYqGNSU1pbMbDQMA39zQgu23NWLP++K4G3HxtAedBZlwnF/3Bbtz3l+KkoFNK0mnXg8bgbhGdiVfYAooukmBFo6siKWAXFdFh2rvoHyWa+6z/JYqg3YZrNZhJ1pfPHCDvz82VH8+oVx3L4jgm1Du/Gps9uKesXkcjl4kcEnzmzFyfN8+O5jg4hngFQ2h29s7sPj+8P44KnNaPS5zOxUElMgP8YejwfRaNTyXPle2u3LKm0usCTZfebABG7dOo5H9kXBq7e6zYs3rmvEmYuCcDnrO1HzWjJhBCj/3SuHbz1SqBb/wGltUz7GqeAnTw5j+2AKIa8T/3JuR10SCipBLBara8+lSjBbtkiV4sCBAzAMA62trbN9KDZs2HgZoFpeSf5EkYviHbleOdGQ/Ii8Q9qSW0HyJ87l3H8p+2YKil6v12yto4JuNRTfGMilyMjz42dZaUPXGSDP26QQQYHLCqWSTJ1OJ/aOprCpJ4r7eqIYSRSOeWmLF5esasT5y8KY3xxEOp02uRAr13VjwX6VrFCKRCKWVaCSp8tWNyok1ydovVlLNbP6/lAohJXOOG5+83K877e7kczm8I2HhzCeNPC2Ezstj0vygmQyiVAoZN4HrHyS/TRl4qw8Bl4/iuZ0hWKiZTqdLgqQM/GYtoxTxVAsg9+8kA9iv/vEFnhdxbyUySgyYaTcd2/XcApbDifhdACXH9Mw5WOcDVErl8vhW48O4eBEBu1BFz55TntdOftscLu5yieB/L3d09ODpUuXFrWXsGHDhg0rVNNjWiZcUsdhoJU6WKlnJOd3cj6rZEcdpLMPA5y6KnR5rEBpHZXzP3ml3JfUG6llcX/koHTukxXb7DltVaTj9Xqr7r3MwDITT3kMUsOlFbt6ntJFk1yIrSN1PETy9FJVwVaaKivAqylOkG5MBDmtjrvobNoJuU6itsvKdsMwzGpzJmhwvzKRQlq4y79Je3u5diBfl05U01l5TH5MHVrte18t4mkD33lsCPfvyR/zGYsC+Kcz2xEukZD5SgyUsjXpTFeNy9ZTcw1jY2MwDAOLFi2qy3rJhh0Yt3EUoloBkxbfKjmQ9tnlSKckJBQQWW2sE/dklToDvHJCoG2ODOpyO2qfE1ltIyuFSglyJ3SHcGyXD88dTuKXz43gQ6e3mX1QmBkajUYRCARMGyHa6agoVyFfiiyQ3Kq9+YACOZKfp+Ukrw3fb2XDIjNcmfVqJWJakVAeR7V99UhM3U4H/vbEFpy0qBHX33cIu4aS+Kc/9eHDp7XivGUhs0KJx37+shDWdfpw40MDeK4/v2DavCeC5w/Hcd2runFyIGf2aVSJtTxflTiR1BuGYR4b70MKlRORKB49EMPvtkXxYn/hXM9YFMIb1oaxvsM3rYRMzeLld6CWntsP7Y0ims7fO5etmd1q8U09Edy+IwIHgGvPbse8hpm1XKzUxaKemA2yyQxy2YvKCocOHYJhGAiHw0VVfg0NDWhomLoYbsOGjVcOSvXh1iGVShW5rwDFFuuVJF5Kvke7aqDAg9TnmxTDGICW1oK6VjcMuMsgLaseOe9KXqEmbtJa0efzTWrhk8lkivqJMyjJCnJaE+rGwEogGU9mcf+eKDbtimLncIEXNPqcOG9pCBcuD2FFq/cI3/GZiX8ATB4PFPM5VsbIa6NWRBMy0YDXgj0zdTzFii+xkr6aBDI1MYJV84ZhoMPvxM1vWoL33boXsXQOP35yBJF0Dn9jUSXMRMhUKmXeT6zUUnuHlzsmtu/hOPN8WHUkx5WWmTq7z1rw/z0zimQ2h7UdPmxcMtkmXNcTm+K+lXh864v5QPvGJUF0VtiDvhRmQ8T83bYJPLQvBrcT+MzGDjT5pz7WEuzzOZMV3DNdoQ4Uu3BwbW+FTCaD3bt3Y/HixWbiEP/Nnz+/Lve7DRs2XjmoJeFS5UbUgipJvCRf49wfj8fNoCWDvZKPSK4DFALV8n1qT2vyCFWPUjUBJgVQY5TzMbkv524GH/k36rIsCOF+XS4XotFoUQWyBDVHK8RiMa0WyGNnaxxZLUy+qDp0UneRbj+scFa5rc/nM/ulk0+XCm7ruCa1slLtLnVQ+UkwGDTHlMmy8m+ltCTyQa4rmISq3lcqJ9O1hAQK7UHZYgooOGhxLKXDK+/l6QbvSaml6jT3ctg3msL1mwexfywNpwP4uxNb8Ia1DWU541xOEpwKqnH7fTmDa3EmmZf6Tk1MTGDv3r3o7u42E5q43uro6JjBo35lwA6M2zjqQDGw2gpJq0W3JJ0qSVA/T2tEZlHShrGSoKoUQZkZKTPPDcMwCRmFRSl+SoseaTMpQaLq9Xpx9bHNeO7wYfx5VwRv3dAEPl6lEMb38vilFSKQH+tKxrncZMcgFs9XioyyR6N6ThRjdURTEmqgcB2tLLutRAv21amWiEhyFggEcGx7HDddOh9ff3AQz/cn8bWHBrHlcAIfO2+hScaZHLDIZ+Abl4fwmy1DuPmvQ8jmgJF4Fp+6Yz+uXNuId53QDI/LMak/kLqg4U9agspqcimCT8STuGvrKH69ZRh9kfy18jiBS1Y34bJVIazqajArgKYT8Xi86NrzeFldxH5Ksm8pz5tWTvx305G+ii4H8L5TZq9avGc4he8+NgwAuPq4Jpy6IFDmE68MzKQYTKFbbXFRDn19fZNe4wKuoaH84sSGDRtHB6oVMMmNrEQacplyFuvkj4ZhmPNhMpk0XV5KzcnkVRT6aA8p+ajkB7TLZiURn6XkhDreRP4ZiUTM7cpjIg9mkJwwDMPkqSo/VntfZowcnjwYxz09ETxxMI7MkSF1OYBTFwRw4YowTukOwHOkWpjbIzeUVqLSxp2VRnJf5NBW58vgOgU4XpNAIKDl+Vbcl9y1mgoJ9XqzMpvjOb8pgP9602K877b9GE0Y+MWWUUykcvjYxvkACvxQBsN1VvGqU4HuGHktZbBQvo+uVrStJ4dnj3ZWDU0FO4eS2NSTF3Dfe3KL5XytXgMeI/umS045GM1g8778Nq86oRM+n9fkltls9mUhSD7fn8BPnxoBALz35FYc0+Er84naMNNjwSqtmQiQs6dqMpmclKxbKuEym81i9+7dk153Op1obW21q8lt2LBhopZkGSu+IBMvS/EKWl6T/3B+rFSrJH+QfFTtO825letwck+p75C7UGOTIL+QLRwl9yEflxxCOtNIjkZUyrV0yYB0wXM6nYjH42YCgjwPHgPfI/cl962eL3+XrlDULlnhriZEWiU+MBhfbU94Qg3SyeRG6t9ut9tMEAUKPEAmz6pzJFs2yrZL8n6RjpbJZNK0WgcKFfsul8sscIpGo0U91+moWi7xoV7I5XJFBU28ZlyXyd7v8ieLNnK5HO55aQzffLgfyUwOrQEXPr2xHes7K+MHLwceWgtmQ3ObSQt32YqV93clc0A0GsVLL71U9BqfuU1NTXbSZRWwA+M2jjpY9eizQqVkiWSy1MKYkz4t0dXqknJQCY0apGZwXq3YAWBaIQLFxImZd8zIpPXLmSvacPzz43i2L45bt0fxvpMKD1dJeGQmKCvjuf9KLGtopaMTM1gZz2NNJpNmf3SOgRW5K3Xd5BhZ9QQqlbHICiJmifIYyi0aKPblcrki4kty2eGI40sXdeEXz43hl8+N4a6dEWwf3IXPX7II7UiaWWQc87ce346TuoO4/v4+7B3Nj9GtW8fxdF8Cnzq7DYubi6u5aLHFY6G4LfvwSIwmsrjrxRH87oURjCfz35kGrxOvW92ANx/XjoAzfw50VZiJqmPdBK8Tl6XVFvsy0db1Ty/2m9XiV6yxrv5lhTGFT9579RJAJ5JZfOmBAaSyOZzSHcBVx9anx2O1mA0SPVNk0+o5UKt4Go/HsW/fPixfvryi4LoNGzZe+aimMpJiTSWBPxm4tgLbjAAw+YHOSUUnKuiEInlcFBDVaodIJAK3210UpJbbYcsTVhiz6lxabTKhUHUD4t91wqJ0PeoZTuGengju3x3FWLJwzCtavHjNMc3YuCSIsHvy3CaDuTIRQI6xbs6QDkQ6qAFj+TnaV6pJB7xGtDAlr5SculSCg+SUqmDLZFnOdfF4HM1BL/737avw97/uQd9EGn/cNobReBr//uolpmAp5zVpjc+kMNWZKhaLIRwOmxxJda3SHTMAsyc5g+/kZxQwpTVptcjlcvjJkyPIATh/aQhr2q2Dv7qqcb6u4tfPjiFrAMd2+XBMV9C8zrwvy31XgcKaiwIoBfqZEGxH4ll8dfMgjBxw3tIgLl09fW5Js1HdMxN2knxe6a5zrQLk8PAwxsfHsWbNGjvh0oYNGwCq45XVWESrc7gKOc8zSVHHQzhPqxqC6gYji2TIV/h/dZvSMYjJRwDMgCu1VgbgqcnIREIrXin3K4+vEv2KCXy69/EYCAbH1f7bVgVJcpvqWLIVEVDMsWXhj9vtNudbmexJS3u18rQSpx8ZpJXHJoN3QEGDJV9joqvT6TSr/bl/rgXIKzk+vA/UoH4oFCpaK0l3KxUskGFrT25XckgWi80EdMkXuvgD126mPu8P4LsPH8bvt44CAE6Y58e157SjuYSrD10EgMJ3kvubiQr5mcJscCOrNqz1hpWLJov/ql0HGYaBQ4cOIZlMYv78+fU6zFc87MC4jaMOkUikovdJq5tKQWGoFKTli5VwoJtQCRkUlsFtKV5R5JFklmSSx8nPyZ7pzHoE8hlI7zq5HZ+4fT/u2DaKq49vQ2fAU9TrWW5LZn5ye5WMnbTylCDJp4AKFDLqyk0QqsglM1E5rrpgoBR/4/G4djKUZDoajRZNWKWEIH5O9u4mmJDAe+49p/lx4sIGfPkvvdgzmsb7f7sbHzmrA+cvCZj94Wnft6I9gB++aTlufrwfv34uXwWyZySFa+7ow3tPbsFlxxTuRx5rqZ5PDocDhyYy+L+nh7CpJ4L0kVtwXtiNtx7fhnMXeRHyeZDNZorGeqZEMLWtgBUYUACK+zIFAgGzQtvlAN5zir6PNCv1JOkvdS9UCyOXw9cfGsThSAbzwm5ce3YbnLMkiNUSGLey660UtZK9alEqK34q129iYsIOjNuwYQNA/nlQCWpp/8GEtlJJd7IvZLXIZDJFghSD2BTAyNHYt5K8ktXfausVyT8p+jD4SRGPSZ7cP5POuG9yYFpG0sUmZrhx5wt5brJntCCgNfudeNWyMC5cHsLSFq/lePF18legUBVfanzZD1222ZFjXYrvSsGaCbEUDhkYZRURgEkiaal1CAXMQCAwSexkAqa0DXW5XHBks/jJlQvxkT8cxO6RFB7cG8M//a4HX3vdoiJXAHIgHqu8Hmq1k9W6ityCCYZAcdUR3bZ4/5GH0u6z1mDxI/vjeL4/Ca/LgXed2Fz2/alUqmwVVdbpwe3bxwAAV65tNNtcAYVgd7n1n+Qc/D5JMBl4OnhR1sjhK5sHMBzPYnGTBx85o23ahMZqWgDIz7DHfK0W7DORcFnq+jBQUct6KJPJFDmj2bBh4+iFYRjatn46sJK2GpTSGQnyu1LbtgroyGc4g54AzFYp1EvJG2WhELkMg/I8RrZ7ZIAWgNnWkbbcDIhTP+Q63el0IhKJmMmjdCCsxu1Qx8OYiKrqejJAaQXJQwmp8Zar7Afy8wYdeCRUfUXqFXT71PEdcjHp4iPBALfklR6PBw6Hw+yPLqu56Tglg+2ynSiD3LKVEZMkre5/3h/y3pBFWtyXdEeVFdkzAelgU2qfTIgFgMORDL5y5x7sGEzAAeBtxzbhb45vgQPWn+cY6tpAEbVykrmGWvgq15xT6fM+ExXXpc5tKjx9YmLCDoxXATswbuOoQyUCJslILUGTcgvjSvu7WL1PBndpH6PaTPJnIpEwiSKD2ZIoSVsjVk1ks1mTLK1pceL4+QE82xvH/z49iA+e1mraM3o8HrPiJxwOm8JYMBjUWh+VGi9VRJGfl2KfYRhmBiF/J1HmsZBcqdmtzGYs1VtYElKgONDNbFSSOZIx2kHRElIHfgYo9ChS9yvJWzqdxvo2F753xSJ8+f4+PNuXwNc392NLXwM+fGYXvK58pVEoFDLv5787sRlnLmnAlzYdxFA8i7SRw/efGMYTB2O47sJFaA16SlqyGoaBbUMZ/Pb5ETx2IG7SsDXtPly5tgFnLgoiFAxMqm6ZjWrjctnOgUDAXBipWbubdo4hdqRa/PXHNBT1CASK7dpljyidEDYVovmLLWN48lACXpcD/3xuB8K+2bO6qfQaMpM7mUya36FSWdTlMN0VUuWCHVMRnycmJtDV1VXz523YsPHKQC6XK5twyV7aU0kkKncM5VAu8EshUxegZUUwLQn5GT7/+SyV4hatEdnbkgl0FCpoAwkUeA+5kLTKzOYceOpwGnfvGMNj+yMwjpyq2wmcsTCIC5eHcFJ3AC5nafFACrhyvJgYQOGQbWV4XnQtUud7VpsDpQNycp5hJVUmkzHFYgrGknuGQqGiwKsOdFui0Kgmank8HsRisSJXKl6LZDKJb722C5+9dxBb+uLYcjiJD962F9+7cqkpfDJ5QSZzklMxmcDpdJYV79XkSZUnM/mVnM4qWbZSpLM50yr8yrWNFfUBZyVPKc7wp+157riw0Y3z13QgbdHHEyj0CORruoROKweH6ap6/p9nRvF8fxIBtwPXndsBv3v6qqudTmdF/I7JFuTo8jkixd5Kkc1mp5TwWAlKiZSsUKt1bTAxMWEHxm3YsIFoNFqW19Gyu5b5UrV71mEqiUYMrkoLbZn0RO7I+ZHzRSAQMANR1PVkciBdaeTYMNmRBRHSdpyfYW/xWCyGVCpl6hmyD3kpqI4/hN/vRzQaLQr88vyAgusOuTCdgmSxjIR0drS6NqomxSSARCJhOndybpWW9nSJlH23VTBZgNuXLY4AmLbuUkuljsa/+/1+MyjOcWe7JqCg0Umrfiaf8tqXui/lmkIHtgKgtTu5+ky4WkpQTzQMQzveTOYAgGf6M/jK/b2YSBpo8Dpx7TntOLk7AJerwKXoYgkU2g+ourXuO8v3vdyD45UGiLmuymQyRfcYHQ2qTbycSvuBSiDdw3RQ3XirQSqVKioUs1EadmDcxlGFSgTMelhCe71eywmo0ge71edJOvhwV+0rSXokaIukHgPttBlgZ6al/PzVxzbh2d44/rRjDO88pQtNHqOoApfVIlKMYI/LSiZiTvQkzRQM2R9DZt3RAl0eHwlgNps1hWcdYaqE4KuTZTabLSKWsu82j5GZkBxPZk5Ke/VMJoNoNGqOL4PqFDadTmdR5mU6nYbX60UDUvj6ZUvxX4/34hfPjeHulyawrT+Bz13Yje6Qo6iffCwWw+pmB757eTd+9NcR3NuTv8//eiiBd/9qFz5xVjtOWxSaRAyyRg6PHojhlhfHsX2wMDGfvjCAN65rwilLms2x5KRMIs/zIfGfiphZLbgQSKVSkzKeeU1cLtekbM1vPpjvG+1yAH9/cuskssyFk/yMlVBZK8l84kAMv3guX3n0odNbsbzVW+YT04tSGeNMGkgmk1pSNpUMXC5epmuxwko3q/NTF8/VgElHDGrYsGHj6EQsFiv5DCUfnIqlndq3UUUl/KZU70EG7miXTTAAquPNFGaAgj28dGZhUFk9PgZBI5GIyUEZOCVvMgwD2wYSuHd3FPfvjiKSKozdmnYvLlwexsYlQTRoEsrIb8lLaPuo9rfkeKiVKeRzqoWermqgHOfRjbkcC5VLMwAvLSzJ88h1yBtldankMeR4vN/I7+nSEo1GzeP6j4s68aX7B/DI/hh6RtL4u1/txn9dtcoUQ+mawzFj+yS5PwaBdfO45McEE1h53gzeE1LAkeNTKf6wfRx9kQxaAy68eX1jVZ+1ciRyuty45fl8sP2tx7cD4l4HClU7BF0RiFAoNEl8n8nehQ/vi+G3L44DAK45sw2LmqaXt5Sz/2fwgkK+Cn4vawGTj6drfMut4aeS8DkxMYGOjo6aP2/Dho1XBspplfVYO5cKxlQaiCn1PJTBcbUPtqzwlZDzgdfrNbmQbLUSCAQmVWjL4BGLWLhO5/lIl0cW5FTaO52ORkwUJP9lZTg5Ejk0EywJ8jtyeSYB6nTHcsei06TU1pqEdKmiXiOLobgvtrVhBX48Hjd5iwyy855Re7rzd+mymEqlTH4dDAbNyl25Tzp6kjNIe3vppKRCfV2uW7gd2YqTWiVQOuheb6RSKbhcLm1g1e/3I5M1cPPj/fjNC3l+tqbdi09v7MC8hkIrR+rN0sWSwV95j5XiPdUUrL0cwVgC1wy6dYNOL64U01kExu9kKe44lYTZSCRiB8YrhB0Yt3FUoZzlc70W06XIZCXbr7TSUfZABkqLdCRlnCxYkc4AIivLZU8Wj8eDExd4sKHTh+f7k/jZk/1438lNRYSF4iGzKZndCRT3g5RgsEqtPpXgMUkCpbMgTSQSZvCZqEWYsOr1riP9khiGQiFzrGjdI4m2DELLSmZJ8Hn9WFUm951Jp/D3p8/HiQsb8B/39WLfWBof/t0+fPSceXjN6kIFFEmSz5fFv1wYwumLRvDNh/oRz+QwkTTw+fv6ceX6Frzr+EaEAz4kMgbu2RXF77ZNoHfiSG8blwMXLAvhLce1YVlbwLTaUhMcZBauaiU5k+C4M7FAji9fp7hmGAbu2x01q8XfcmxrkbWXFGlVWAmztAKrhjD1TqTx9YeHAACXrg7jwuXT1+OxUqjfF/Y7lRU8pTAVsj2dmZjpdLrsM13tnVsNpD2cDRs2jk6Mj49b/q0eQXHCamFcKW+VVeE6MEApqzmsAp5Acbsh2VKHlc6yIoZVlKyUSSaTZkY/kwYDgQD6J5K4e8coNu2KYN9Y4VjbQ25cvLIRl6xuwtLWgLbCh8KaVWUI5ynJg6UdJMH5UFYuk9dVC11g3Koymdsnd6HtOgPbTF6VDjjkaNKqkj3aeU+Qm8n9yUr1fzmvA99+dAh37YygN5LBVT/fge9f3o2w11mUeCptrmUvcd4jqk04q7DJwaQoyXEnd8rlckWVL3I71QTGxxJZ/N+RpMN3ntCMgKd6MUkVyoPBIO7ZMYL+aAbNfhfOXuAxX6fALi1EWfUkk/LU738pzlPvnpAHx9P45iODAPIuSecsCdV1+zronlXSsavcd2kqvAyYXhGznGPVVLjsTPSZt2HDxtxGLpcrySvrlVDOQhvdOr+SQAw1PCtIDsBkO1oaW2kL0uqcXIOvJ5NJs0DG4/EgHA6b/JOch+1g6N7J97NVBzko1+/kR1Y8WnKxUi1jeD4Mgqq8hfxaOkfVWoilm98SiYQ2IY37Ij/hPMwAvOQ6fC8DdTKJklWn5Jy8LizuoRuS7B3OZEzZhojrBh5DKBRCNps1Ewz8fr/JeamVssiBCaJAsdMpkxRUXpVMJs37mH3oZwOqIxH598HhCXx18yCeO5w/rivXt+D9p3fC7cxfT2lF7/P5JrUhUnXXUpbfM2EHPhsIBoNmwkA57lWruyUw/YU8fLZZncNUOO0rOSGi3rAD4zaOKoyMjGhfpxClkiIpHlXS25qwstwpVbEj31NpcF5OBFaBSVaPUIxi/x4ZXGd/R7ng55ikUim8+5QOXHvHAfxp+xiuPCaEDrFtbouVKySmsrqYEwmJDcU1/p/EhWSKAXopLEk7FBX1EEFIxoHi4CizT60mQ5I7ZqdS/GM1KY+Ndu88V54Lz58ZsCTtPGdu+6SFDfjBlV585S+9ePJQHF+7vxdPHYjgA6fkxT/uj+LpxWtasabVjW88PIjnDufvp1tfGMGj+yZw4vwgHtwbwXgyP7YNXicuXdOANx/fiaAzYyY9UGAmSaY1Ku0K1bGaDfB+9vv9Zi8suh6QsPN93zpSLe52AO87owuxWKyoWotV6JJ8AqVJBcekEiQyBv7jgQFEUwbWtHvx3pP1/c1nGuozR/Y/LYfptq0kuNgEUHJRraJcf96p9O5RLcZs2LBxdCGXy2F0dFT7N1o7qoEu8iagNK9RkUgktA4YlQgelT6npfMLOY3V9uLxOOLxuFmVIedNJvwxaEruS0tFBnx9Ph/Go3E8si+KTT19eKYvYVqle10ObFzWgEtWN2FdqwtOB5DLGUVVP0ChwphCmtPpLLIcTCQSRQmccr4u1VpHHZdawIC/bFHEY7JyVKJzEvkkEwoMwzCFR5W3yKAy7ejJ0Thfyt7IvCbcxjVnOdES9OD/toxgJJ7Fe287iO9eNh9tyHN7mYDL8aLoLHuHU9iU9z3dnnhvyOpp6XhEXikF+WrH/edbRhFL57CixYsLl9ceAOZ9zWP79XPDAIDXrgqjKVxwIpBuTxR2mewr7T65xrKyk5eoZ3A0kTFw/QMDiKVzWNfhw9+d1FK3bZeC7r5Wv3ulMFU7eWlVWwoMEnD9X2lSQqkqQ9URoRrYnNKGDRvRaNSyUEOX+MfXiXqsySt5fjHoXA7SXahUIJ6BV+mEQ/5DPsnkQMMwzEA1OQWTLskbuF9qQdS1gEKvbD7D1TmH3ItzOrmNbItIyLmdQVDdHFhJ3/FKoTo8MTnAij/QRYhzF68dx1u1gKdri6y4Z3BQvlfeAwxwq9XotJrn2FCfY6W51KPZ2ohcgS2QZBIBj4sJdGzrJKuzqQcyoFzvhMNawIRhh8OBR3uG8NXNgxhJZBFwO/DJ87px/orG/DkKtxwmVnMs6VgqW3QSs9Haci6gkjV0La15VFRayMPEGytXDB34TLNyW5rKusCuFq8cdmDcxlGFjo4OpFKpIlEGmFzhLfsSS3LIqpdKHsK67LVKFvu1TuDMypT9qgmeg+xdw2OT1utSSGD1s8fjwTGtORw3P4gtvTH85oUxfPC0NjPjj8F0mThAyyEdOWTwkSIJ/84HNwPEtIxUCZMESZk6rtUSTwqEMqNT7V+kEzp43jxnknbVpoi28FJQZGWJFGVJPClyUgRnskDIZeD61y7Cz57sx8+eHcWmXRPYPpjAv17Qje5QsajtdDqxqL0BN17RgF8+dRg3PzUCIwf0TmTQO5HPRO4KuXDluiZctCIEv9uJYNCNWKxgNSOtqVhlxXNTFzkks7WIQZVACrNAsYU3kyhkf0HZeysQCOAve+KIZ/Lvv+qEtqJtswUBUAgGyCxhKzcBoPIszFwuh+8+NozdI2k0+524bmMHPK76LJCmCt1zqZLvUK1VdCrKiZj8XsjqPS6AKyGLsnqR94UUs2sBE4ds2LBx9MLhcGDhwoU4ePCgKaJxPpGLcFntoPKzaoLWatBRJiFaoVTVd7n98Xkp5z+52JduQYQUxNxud5EQSl4ci8XwYn8Cf9k7jPt7JhBNFzjvsfMCOH9JAK9a2YSmoO/ItnIIBIqTLHXH4/f7TbGU1Ra0qKMQKvmdbv5gf+OpCmkcB3V8AJjWoCqnpV2oBIVI9vgmV2bFvXoe5Mq06iRXksIzP59Op8158R3HNSLkBm5+agSRlIH3/f4QvnNpNxa5M6bY7PP5TM6dSCQQCoWQy+WKqqVV8Untn0eRmedE/q2zrNfxcSvsHU3hzpfy1/69p7TAWYbDOBwOs10TIXklreq3Dqbx0lAKXpcDbz6h07yXVXt0eQ1YMc7zJneWybFWqBeHJufcM5rnnJ/e2A63c2Y4Jx2c5L1QabC6XsmWMiGnkv0wKbZS8VT2D1WfseXcOaxgC5g2bNgIBoPo6OjAwMAAgIK+FI/Hi54z1OjU1620QB3ouiife9P5nKYOqRYgyGpO8mUGT1X3IjUAzKRBJkbK85bb4FjJBFPqcNR7yKn4u+oQwrElz1f7N6s9nwkma05lblMTI9TrZlXIw+RMWenNym3qKDx+K92V56pWzrIwKpFImIForkvUtQI5H5MUyO2oubPQhQ5JTOaUFutAQbfhOLM9E/Vsaj5AwSlJ9nKvxDq/VsgxlholkUqn8ZsXxvDTJwZg5IClLV58/qIFaPfl25SGw2FzDaM6EjJRJJvNwuv1FtnesyjKCq+EoLlsgUBIV4FSmAkrecY+5L0qk5vLgetjOgQAhXXRVJyIbF5ZOezAuI2jCl6vF4sXL8aePXvMigxCCpdWEyarLip5uErLck6UlRDNSqvFGRSmXTl73tAaiARGnqMklpJ0yKpyghURzEL825Pb8Yk/7sPdO6P4m5M60OLKTKp0JvGRfcqlOMDKVAqWzHijoEyhSpfBqZsoKiX+paCSSJI0eQ/QGkgKvPJzTGaQxyJtRAF9dqk8P+6TQguzI2lrbYqJhoG3bmjC+k4fvvrgIA6MpfGh3+/DB0/vwOvXBxAIBMzqh1wuh6cPTOD5gbRZhSXR3eTDxqVh+N0O8zzkgkEdB53IRCKmVjDVG0yWINSkApJ7v99fNPYMqN708GEAgNsJXLU+bGYfc7EgiRbFZDUjV0dwKk3CuGNHBPftjsLpAD51TgfaQ3Nn+mXGrXyu0RbL6lry+1ov6OwpWXGpS/SpxtaIiQ28n/m84zOuFthE04YNGwDQ0NCA7u5uHD582Aw0EhQuY7GY5bOqnDWvBMUkZqSr86IKzuelev5KMNBNtxseUzgcntSrG4BZ/S2TTVUuIJ+x/ZEM7tzWj027ozg0XuASXWE3LlndjI2LvFg1r9kU0BhsraTShgFb6fIkqyo4z3E+J59hsoGs9FR5TjWiEo9BFSxVMPCqVjWR1+gSz9hiSCbvAsWiiTxWaeUvWxsx4YE8iMd65bpGNPic+NYjQ0hmcvjHPxzCt65YjLVdIfM8OPcHg8GiwDCTQtV7WQbnAUziGiqvlJaTvGaVcP2bn8wnf565KIBju/wl3wugqIKekMdOvv/bF/LW7BevbIQvlzK/S9Fo1KzwpSMAEzEo7qoJJEx84D1JoZuuBlZjUgvufKmYc7YFZ5Zz6p5LFHCtnkW1JvFYQVe9zWus7kc6UFSyDpfBGfUZXis3tnmlDRs2nE4nurq6zHkmmUwWzZmyLYVunrCylrYC51nqT5U4bVTTdlJWX0uLbLZUSaVSRftU9TQmobEaWJd8R32WgXHpJBSNRs0kPlYa6+YnyU3IdVnhy8Q2qVUy+U0GXWWBDM+Jc8NUg1uqTquDOhfJZEWd4wB5jgxcE7IynOPFCnrOk+RRcttMHJD7YbUt9fBAIFDEBeQ1U3UgaY/P45LHpOtFrmo7MhBPHUhdz9QDOrtunmckmcU3HxjCo/vyge+LVzbiA6c2ozHoMb/Lsiqf30teeyZ5kLuzyIzW/TLZQw3QvhLatMgEGAmZJKxDPXVp8nx5v0nHAl0xoGyPVQ4MrpMry2d4rW0nbSeiyjF3lHkbNmYI4+PjSCQSReKYLuPSCpIQVAL1fVYPaGYSsiIDyE8C7IOjTvokjpJYMMhcTlBh5Qj3KwPZBBMAKGidMD9oVo3/4pkhvP+UlqIgtjxXkkJW6nCCZiUIbWFktqDat0Y9TikWStIwFejIlBWkeMnrQ3G6VG8TXaYY7z2ZqcsKC9rMs2qI+5UB9kAggFOXBvGTeY24/t6DePxADDc93I/n+hK49vxuZGNRPLwvilu3jmP7YGHfpy7wI+Rx4S978mLm04dieP/vDuDT58/Hqd3+InFbWiyRjOrEOjWoSvIr7T7rAVVokuKvPEYmeshq/rt3TiBxpFr86uPbiqpCuGhikgdf0y1qgAIpquR7RmwdSOLHT+atON99YguOm1detJ1p6BwZrKx7AVj2cZ0KpD1lJUS20oASLYp4zdlni9/dchVpzc3NaGpqwvDwMCYmJgAU+j/ZhNOGDRvj4+OT3F9KCZcqqlnsyoA1UOBbum3IuZHBVFoZ6qp7yW9V4SwajVo+Izk3U5Rk8M90nkkbeHh/DJt2RbHlcEF087sdOG95I169Op/olxV8UzoXyf2w6kaKvjI4TCtFipd0KOK1kdUoFJik7Xg92vXoxlVNrCSky5LH4zEtt60SacmR1e3LaghWMJHfco7kWkLyXgpoUty9fEMADV4HvvTAINJGDh/+3V589bWLcUxrodJIrainyMjxZ99IeU24xqDAx8/rvh9yPSI5sExUlHjyUBxP9SbgdqJiu/By19ThcODgeBqP7c/z4jesazKrkgjZykq2FpDJu3wfK9Zkf1HySFbd8/yYAFErdgwm8cO/5jnnu05onhXOqeuZqCZiSFTavqca8LtA4bSSnq60wS8nYur4cal7VMLlcqGtLe+81tfXZ17riYkJNDc31zXp1IYNGy8/pNNpMygOFIKaasFLKVhVL+ugumGWSs5i8UYmkzET3/gcZMKmhG6tzopXq+0T1PsYuFe1SmoRTD6jlkOuK/khz0eOXyAQKHL0Ue3BZRU7kwGZnMjtkZtKJ0y2DqKl91Sha/dpdR/Q/ZLtFaUeps5/fF1n+8x5SLYHZcEC9VwmglLD5v1AfZoaLrVQzvN0EpI9w9X7VboAUNfLZrNFfdNjsdikgKluPUSOJSvdeU2no5hHwul0Ylt/DF9+YACHo1l4nMAHTm3F64/tMPmehCyKosOhTESVDgAyGMvvBtcPvP6q++3LGbrnGe9LHa+shPNVC7k/PpNKPWfZNqyS54BMkuU6XX63SsHv96OtrQ3pdBr9/f3m6+SVNsrDDozbOKqQy+UwODgIr9dbVBFZ7YRRqX2yDjIgLMGMMB2J4oLe6XSaQVMSMPZo4TasbL+5HWByJQoJnewZLntJUyy9akMDtvTGcOeOCbxpbQPaoQ/0S5LE49IF99UxcDgcZvahfL8UCWhJWCqgrbs+aoCdpFE3UVlNXjILjyKiJMsSOitBoHi8mPXI6nmSTfbUYQWRKp4BR7LQAHz2vHbctnUc//30KO7rGcdTh6LwOB0YjB251i4HXr2qCW8+rhXt3vz1fM3uYXz1wQEMxw1EUgY+d/dBvGZlGO89pQV+t9MkmbL/O89JBzVbjwRBd2+QKFeb2KAKRVbW7TL5gouGHz0xAiBfLf629WGTyEihjBVVvCby3uQ+1MWd7LVkhZF4Ftc/MICMAZyzOIgr1zZUfM4zCZ1FkVV25nQExYlK7TaJZDJZUXWVanMq7WSZ+a1bFHq9XsyfPx8ulwuBQACDg4NmIGUu9KyyYcPG7CKRSGB0dBTBYNDkLtU62bASpZbAkE5YAQpBVIpN6nzLvuAU+Hjc6rOSCYFMMJLgs1e2igEAI5fDjhEDd24fxYN7o2ZiGgAc1+XHxasacO6yRoT9eS6XObJ/ipe6zHgGVykQ0E5QfZ8Uhzg+5GIcC1XIKGfHxyp6Oc+w56RsR1Sq56ZVsItzCecyjrlq1V1q+6pNICtJuD5gQFyK1uS/oVBokrPR6YtCuP4iF/75nsPI5oBP3rEPn72gGxuXhsx+n+SuFN04BuRSstcnq8ABmPeTbkwJ3Wu8Rmr1eNbI4adPjQIArtzQiu4Gz6TPVgrJ/xKJBG7bOo4cgNMXBbGyMzzp+0HIBASZtEGOmUqlTKtunhu/M1x7UQBWbferxXgyi+s35znnGYsCeNO6xiltbyrQPZd0DkWAPqGkHuBajFWFlaDS3rm6ABC/Z6qrA+F0OtHc3IzOzk7zdyZcsjLODozbsHF0Y3h42ORlDIBVu+6eyhpV7RNNsPAB0AepqBnSnUctoAEKGoJVBSR5mk4LoPaj6picW8l5mJhFXs05R3JsPmel3TYD6ipYqCQ/S/5CXqBy+EwmUzIYpuObDIhWYm2vc7gkqCPKALaOM6dSKS3XVI+BWieT27gP8kuCmhrfq7a8Y/Ir239S16aLH+dAqSEz0Ku6qvI16UjEY9dxSHV9RXcEq+pxauKVWmHrkMvlcMdLEXz34T5kDGBe2I3rzu3AilaveZ66BBGuCZlQy6QPav/k7/KYGYBNJBKmri8r8WVV+csVVtq67jvLazcdiMfjCIfDJZPGJdhCohzHVa8Prz2fp0zO1bWW7erqQkNDg/k7E4ZsVA47MG7jqEIkEilpU1gppmJJomat+Xw+s2K7VEYRF/XS/pc25oTs66iSAvlAVqtw5PZVqx0+lOPxOE5aEMax88bxXF8ct26P4n0nN5v7YQYbUMgMpH1SuSwpBvhlbx8ZkFUnnXJ2fKzE5rnJDEOv12sKUlbHRaGKATBZLa6KqUCetKrEldUzEqrFDoPP0s5bZlD6/fkqD9kXiZ+XosuFKxpxYCKLP780gbHEkSQJtwNvWt+M160Ko9nvhNfrgtOZv+c3dPnxozcsxvcfH8amXfl+43fujOCZw0l8/uIFWOl3moJdKBQyq6ysiKEVKZAJBKlUylxYyHu/0kxaVShihrK0w2RGMbfv9Xrx+xeGkMge6S2+oQlAgaCwV488D4r/stpFfp9INGiZW0rAyho5fGXzAIbjWSxq8uCjZ7bNWcGLFleqBar6HHG73XXJflZh1UOtHLi4qhXSNpcBIq/Xi9bW1kkZlm63G/Pmzat5XzZs2HjlYWhoCEDBMq2W52MlPdJKQQ02USySPZxVqMFXBsqle4icH3WLes6N5GO9E2nc2xPFvbujOBwpnE93oweXrGrCxkU+dIXdRwSeDAwjL9pJvkXeQA7J7HwGxGWvxlJiFYVBaaleSpQodw3oJAMU+DK3R65WKpgmq4hZtR6LxYpsIWViLB2TihIOFHEWmHxdnE4nIpHIpNYv7N8oLc2ZcEkuw/Yz6XQaJy1uwk2XufGxOw4hlc3hC/cewodOa8GbTphnionqeoHXhm1tOFaErISxSm4sBXJxVqSn02ncvmMUe0dTaPQ58bb1jQAqSy7R8VaOYygUwqGhcWzqyX833rS+GdFo1KxK031WOt4wGE5RilVWTDZmMiaPQwbWuZ1aYORy+MZDgxiIZjG/wY2Pndk+a5xTdQAjmEyhvjYdQXGOf7XbturVWgkoXAMw3Su8Xi+8Xi/mzZs3SahsaGgwxUwbNmzYMAwDw8PDRS1QakmalDparcdBcI0OFKptdSA3UNs4SrBASMffSiUwcTvScprbkL2raX9OfYAuOwwWUmvgTwZGOc5WnES6PFIvknOXeo3KBcNUG3aHw4FoNGrqjazKr2QeYlseJg6Sh0h3Q/JOFWowjjxROquSJ1InkVyZGoxMkKXu6vF4zKQ3qX+T27pcLjMgzu2rxTYej6eooI3JYzxGXhdZYa2DFRdidTsD/eTZsnVmLYHxeNrAdx8bNl06z14SxkdOb0HY6/z/2TvvOMfO8vofaUZlJO1sm+3r3o0LBowxYIMB03sJBNJJCIQ08gsESCFAQklCGkkIvxBIfqkkEAzGDt2ATcc2GNu479prb2+zK2kkjTT6/TH7vTp650qjmZ3ZtXfv+Xz8sT2jubr3ve+973nP8zznieZFv7aFXBvPBPeO++rV0N6WSVLk1OTPYpxr1SMNJA+HiPvZoAmOcwXzgV7wg6JXUmg/MGf93qJfj4yMKJ/Pa8OGDTP+bmxsbE7nlmAaSWA8wXGLw7EVOZyKcalj9+xBY6xiyLAMxa84MaYX2UIAC4PmpVKpK9uMCh2yy6jw8L9z8SaTyejVFyzT27ZP6Jo79usV5y3TunzHshH7Sv/7OPJMRbn3p6aPSqVS0fDwcHRtIyMjXRU5HNMr5UO4bbLUTYYGJTfYAyHGYnNJNYjPHwRxFzGxzmRMQmtMju2V7JBP7jPzDOE6vJ8Pjk/qM3eW9cV7D2ryUPA3N5RSvdVWvdnWgweaGi2OKJOe6uoL2Wq1pHpdv/XEFbp4Q05/9c3dmmi2tf3gpH7lU5v1849doVc9epUa9Xq08BM4jRP9qab18eZaPSkh7u8OF8wviILUSThoNpv6yI2davFXXbAs+jvIEufA8wixR5BHXPee2r5JbbfbPQP8/3Tzft26s66RTEpvv3yVCpmZz8KgfWcWC1Q58k5yxFlehpVphwPvt0k7gfnArS/Z+PY71mwCQ6PR0Ojo0auySpAgwSMHce4icwUix+EkHbFGu5CGE5GkGbwyk8nMqFQIbdodcaJSvV6XMnl94d4Duvb2vbp9V+f8C5m0nnJKUVecXNCj1ozMcCPh70ulUsQzEMa8R6NbPBJEjuNxOPogmhGwh0+6IBdnG+liWxxC+00fy0GrS4vFYlRVTEIl3D4MGPJzPyd6onuPar+HnlhAUquLbpxDq9WaIeb6vR8ZGVE6ndbpYyP6+xeu1xuv3qqJZlt/+919mpga0msuGosqfLDqJKkTYRaeTnCQnur0juca4jiQtyzy8XB+XavVVG5M6d9+uF+S9JoLlik/1JuPzQWtVkvX3nVQjVZbZ6zM6bEnjHb1MZ3tfsM/qAZivpAcyz1xXunnPN/z//iPxnXj1ppyQ9Ocs5g9vMDIfICgPzEx0XOc/BkbpH/8XMD+8nAtbGdLChr0GLzfCoVCUr2TIEGCgeBuK/MFyY7zbVEBP2NtZ12jUjJu7Y4L8sW1G+ScwmAdmoprh/Ak+BvcQ+quuo7a95h2QyW3u4aQoMf64MFyBzwkDBSzZrlbkyejOmZLTPOxch0t1DF7IQy+09+boDMV2dJMa2aAw4m7LIXJliQ8eBseD4LD87gf3D+SGFKplIrFYpcTAMUncFoq/KXOOo4+BYfCjYDjh+1GewVOQej0yH1kTsXpcfPhEVvGJ/Wer+/SlvFJpVPTLX5efPaSrmvkXDypMg7MebR9kkoo5Jiamop+R6W56+vgcBJljrZW6Vp5WAwT12N8IS3ycV4j8f1wjkviediyod93hyBZvFarRc5DCRYGSWA8wXEFql8P9+XezwJoEHgWqNTpcx5W2Lr94FxexFRiECyk2hcxzEknAh3BXQLAgAoQaZosXbAmp0etzum2nXX95w/36LeesrFLrELIQwAiGMvvCVjGWWBTOc3C4f1lIG2QAzIPIQRU8sTZ4WAhNFd4/yCvpiVJILTVhOB5v2u/PidjjD9BWMgj18kcddETInrrzpo+dfsBfefBDok6ayynV16wQo9ZM6xr7i7rYzft09c3HdSduyb0B8/YoJNKM69vaGhITzllic4Zy+rPvrFbP9pR11Rb+sfv79V3tkzobU9do9WlXESyQrtUQNUTcHLfL1Awn6y5uGuAaHr1bz6f12d/vC+ycKVaHJC4gJ0nvcMldc1XKu6Yc73OIcQN90/3eJekN106phOWzqzag9Aebj/J+YDnvNd7hczZEIfTA9Jte6nWP5xNvwMHBa8q7PV+juu7Rh/aJUuWaPXq1YedaZ8gQYLjA6Ojo9q/f/9hH2cheClrmqSoutWthJ3nwZ3mcnzes83WlG7ZUdM1t+/St7dMqH4oMS+dkh67oainnjSiy09bqtRUsyuQ64mGbs/u4m2YVc8aAccjOMm672Kog/UG+Pj6OHBMF+SkTsVrXE/v+d4r7z9MVQqiYT6f7xIepU7rIJyiwj6gXm3k4qBX5PDftObxXptcZ4h2u61KpaJ8Pq+1S7L6yIvX6w1Xb9OB+pQ++v3d2l2u6/WPH+s5h7gvjUYjug8Eurn3cLa4PVlcuyS/l4zhx380rgP1KZ24NKNnnzFNcgdNuOzHZWqNpq69ezpZ48VnL4mSI4vFYhTkjONOJAQg/lYqlege8exIHe7rYrsDN6S5CLI3bp3Qv98yLkn6zSev1SnLs7P8xcKDhIy4Nlj8Pq5lzeHwSlzA2OP6PuBwQAsxEjfhiHHnis1lCK53zZo1WrFixWGfU4IECY59pNNpLVmyROPj44d1HKqqDyeQ45wFnlIul7u0QXeQmet31Wo1lUqlrmA32lk2m42cb7ATrtfrka6IGwfFPhTcoDMCdwIEXn3pVupcJwHGMHBF9bKkyHkSu3h0JbitF/hgKw6PCYPPfO9cEQb0XatkDQsRtgWM00NAr8+RwMA5lMvl6P7FucWQoIrmxvF8/Pu16fO+y1jC01qHPQQ6ZT9+3m9+9mrngvPAoJrlVzdV9Dff2aNas60VI0N6y2Vjuvik5VHVtzuKUhQHx4gLlDpfdn2cceFYuFn24pWHkyhIG8zFcPbph9CVip8BnvuFPi8cebGfXyheiSMtjgT93s+0/XSQ7D01NaUTTzxRpVKMuJ9g3kgC4wmOK6TTaZVKJR04cGDef8+CGxdcmQt8EfTsPSd42E73ssKMAxlobkvuwVepU52E+OJCndQRL8kCDF/aP3/xGv32NQ/oc3cf1CvPr2hVqZOthVWPV6NAwpx8hsdEUBoaGor+26/BswG9Mqir1+ChigyyIiFJcf1beoFFxxdASDmEC1EZQs4CiihdLBYjAhiHkPwgyvomg3EAw5msrt9c1sd/uFt37u7Mu0s2juil547qwvWliKy/6Oy0Ltq4VO/80oPaUW7qNz5zv177uDE9/4zCDELRaDR0wtio/vgZQ/rsHQf0jzftV6st3bpjQq/95P160xNX6kknFqP7xt9RPR5HFv07vGIpFEBn2wS46Nsrqw7xlg0gJLHdbusjN+6fPt+gWty/v9FoROfl1kn+zNFbiQqsEOF74IH9Df3lt6btdV927qieeGJhxt/432F3hN38YsMziB2MoVsxheAZm0uFD8SWTO2FBu9KzgkrrLj3TJgpLXW/j8bHxzU+Pq5isahVq1YlpDNBggR9USqV5h3c8QoNgqCHs/n2QKM7vHBucJZeNpZx8ED69oMNffaOcX3hrv3aU+1s2E9YmtGzzlyqZ561XEuGWhG/rNWaXYmFXkUSbvidS4QVAGFQiuvy4GHIReCe+Xw+Cpz558NEOtZ5RCvuDVU3BL+c/wwKxFTnonB/hEEX97xPsdS7r54jTLBjrEkgoGqez2DHyJjSv9HtGREgV2cy+siLNuiN12zTrkpTn7njoKrNlH7zCctnnAd9E12scgeD0BaW83QryLhgfeiYtLPa1tV3Tu/lXvvY5RpKzy4qezJEL8vUfD6vz9y6W/smWlpVHNaV54xJU62u/oyhsOzXDofy33nbJanT17OfQ8NcHJV2lpv6sxt2qy3p+Wcv02UnZKO90JFKuowTtdmL8fzFXSsuCHHvhH5YLEEUxO3TPAHb4S2cpOn3uj9HO3bs0K5du7R06VKtXr16Tnv6BAkSHH8YHR2dd2DctZbDff/DQ0gOg/fgDiN1LItds5kNcC5fVwkc4hjEd2QymYgveQCdICn6WVw/dHhunK15uIZTSQ6PjAsqexGL1NFv4HasGV6l7q0wqbxnrOAL82mnxNrqQDPmeLhcolVSfc3fxyU3umulj5e3mWQP4Y5DXA/XSPCaMYHjoiO5kwDJBL0ChfTP5jtbrVb0t+hzwNv48DdxToKhJsl/xyVr9tvfcZ8brSn9xde36uo7pp/bC9bm9eYnjWn5yPQ9IqCJ7k4QG96Dc2h4P+DlPja+5+T+krzsY+OI6zE/KJgL7BMWqqhlNjiPAvBvT6YO0YujzwbGbzF4ZVxMop9bAM8KYP/EO/j++++PWj+uXPnwbdX5SEISGE9wXAFSMlcQZG02m132PIcLREwWG6+49gy6QV7QWI6Hfa492DoyMhKJfL3sexAvEdMgWSzU2WxWZy9v6FGr87ptZ00f/9E+/eZl66Ngu/c0dDgh6XUPwl5KcZ+DlLrAC8Hmu92ak+uDlA4yjuVyeUZvFqptWKjCrNXQuh2Cx/n64k5FK+IfFVBuycS9qDWn9LUHGvrvWx7S9kM9OzNDKT3zjFG98MySNowOR6ISGai5XE5nF4b0V89dp7/+9h5984GqPvzd3bple1G/ffla5dSMzlOaJkuFkRH9xEUjeszGkv74uh3acmBStWZb7/36bl1xyoR+5fErVFD3fGSRn43Mu1WSz7tegXXuw2yEhjnvtvf0wfrED3ZEVWyvvmBZ7HNEH3Husc+3MMDAcxFHtHzjUW1M6T1f36Vas60L1ub1M49e1vca+DveJzyvC2VXHod+WbG4YfQiWGxEBw2Ox72XFgJk2bpVv88lT8jx7w4DDKGgCSqViqrVqk444YTEVj1BggQ90c9NpBewG4YbkPx3uIFxFzFZX73i2HsNDgLen/zdQ3tr+o8fTCd9lbJpPfXUkp53zkqdtnza2rBWq6nV0gw+VC6Xo/PAecavlcRJEjLhV/2EsvA6vDe6wx2DejmBhL0EGTf4OZbgExMTXec8yLpGwidJfF71nc1mo0Ay6xjcMBRQEDupEHLbRwQ3T4xFgCOg77b6jAkCmvcuxOkJ3kyi2diykj7y4o361asf1JYDTX3pngM6UG/p3c9YJ6kjwFMB7+2hEDND5yS+s9lsRvegV9JxKFR+9Ma9ak5JF28s6LHr450BQsQlxoVoS7rqjoOSpJecu0yN2kSXIw3oJWj1CrjzO0AyBAmt4TUP+h6YbLX13ut36WBjSmesyOqXL14htVtd/GyxeniDfvsA5jWJAHF7Z++fOQjC99JCIWwxFo4b+4KQ/05MTHSJ6XH7l6mpKe3bt0+VSkWnnHJKEhxPkCBBT8xHq4QfVKvVyLaaljKHo1l6IQ9JivA53o9hELUXcAzy96friwRwWQ+8Yp3vlBRxFzgVwdrQITJOY4J/x3EBHDcnJyejgGRcEqSvZXGcw8cmk8l0FezA4YrFYsTx4GGDBi779aimch5dTJpO4MVB1DW84eHhKJDMOsz1eiUzejCtE+GIjUaj6/PuVkSxChbUcFhJEd8nqQAb+kKhEBUZOY8luE3gcrbxZ0/BPIu7j2F1OckTnqwBes0X+MLW8bre9/Vdunvv9L175XlL9eoLlkYJm41Go0tX93PkOogBhM8ryR+hg2jImd1xqlcxz3yL+tz1Cyw2r+ynM4bJpr0+M+g+zfd4Cw3074mJiai1kn8Puj1OmiDcr8a5bDYaDW3fvl31el3r169PguOHicQrNMFxhV27dg0UzKFnHmSgXq9Hf4doRObb4QCiJHWERK+UlgYPkIWZRf5zQIV1KCZAcCAsbhsCSSiVShEByOfz+vmLp/tafP7ug3pwbzkaq17k23uCuLVnOB5gtl5sbqENsYAAhESAfhxx8H40oX0nJA3yCLEhGIv4gehYKBQiMRGC6Jmlfp0IL17FVK1WI8Kyp9zQf95W1i98aqs++M0d2l5uajQ3pJ+6aKX+/VWn6VcvWakNo8MROfJgZ71eV6PR0LJCVm+7bEyvv3iFMumUvvVARW+46n5tOqhIiKXyCQK1ccmQ/uYFG/Syc5ZE53vdpopef/VW3fzAvq7FHGuoEGH/QITeOHIS9oqROmRxEHhfIO9Z+dGbpzM2M2npFectjZJPHFSJ+/8Xi8Xoc9goerYrgeO462i32/rLb+3RgweaGisM6S1PHutbxRRn+eQVcwuJbDarkZGRGVatcRjk3Tbb7zOZzIJnlvJ84dBQrVaj+ec9PR3cL79nPuZx8w+0221t2bJFBw8eXJDzT5AgwbGFdrutBx54YKDPwhFooTExMRElAhJ8XQjAd8I10SuFB11fQ/55zqqcnnl6Se94xgb9y8s26tcuXa0TS+0Z7j3Z7HTFqq/lbk9JQLhYLEYWgblcLuJ9BFSLxWLfymw/PxILQjgfGYSzE+BCkKXiJxyLXlwg7I8NN5YU8SznhLVaLfq8V9ggLBLcJkjt7YXgi1TYV6vVKEiHYFmpVCIrSOf6VGbn8/lIuIWjwW0JuHO9pUJef/v8dTprbPp8v7ulot/47JZIXKVFy+TkpCqVSiS0cl+p4Hd4soGkGXbxwJ+PO/a2dMP9ZaVT0s89urtNjldE+T0ZhPtI0jfv268H9jdUyKT19FNGokBAXOAWQcuBmAtw4kEM597xGaqmQn7qLaL64R9u3Ku79zS0JJvWWy9fpUJ+5pzknbDQohmcLHTZCuHuaL3gDgn9jjNI0uxcMDIyEj1nk5OTqlar0fyL2zsi4PvPQy7fbywajYY2b958xNsnJUiQ4JGBarWqXbt2DfRZ3l+s6bwbSYR06+/DAUlBvPuo7AbuPtkPrqn0AsmUYYsKtFl4IfzMNUW4J8fBZVLq9MLuF9ALk1NJUow7R9Av0EgxEloy1dRxSZquY8Ydx/lA2BrIre3r9XoXj3JHwlarpWKxGCX7eR/vXC7Xxc/QuicmJqJki0qloomJiYgfu/bpDlVop7iWeiEOY99qtaJAIZicnIxcQ0dGRiJuihaN7tNut6O/C8cfd0KfO3H7CNp3cq39OBKBfAfJpt++/6B+49ptunvvNA/7wytW66cfvSzS/9w6m3Oi1Wn4fSQvhD8Pny0KdXqdL++B8Nmfb9FN3LPdT1s/HDCfZtMOC4VC1z2Mw2xckfs+VxewfmDPUygUIvdXn49x48Z3+z4gdHjtd+/27dunbdu2HVZbogRJYDzBcYZBs4b4bFhl7JbjCHmHC7LxvJqdc3Dbw9kQt4AQlJQ6QT4/PtmLEBWEOPr9QMKoosFmvFar6axl0rmrcpqckj5z10RErHotkiHZo+rb4T34EPF6wYPhblPkx4gbj2KxqHw+H42B9yunmqVQKETXDhn06m4CjG43ieX8xMSESqVSRPwQoQmWFwqFiNBAavh7SdpabukDX9+mV//nvfrXm/foQL2ldUsyesPjV+ijL1mvVz2qpJXFzIwKqHDB9EDh889aor943gatH81oZ7mp3/zM/fr4D/coFVhqc6yhVFu/fOla/flzN2p5fvpne6ot/fbntuvfb9mv1lTvhZcxdDEZMhsHxtP7ew4qeoUV3nzff960TY1D1eI/e9GK6NhkDwIXJ4FXBbGpdGFbmimu8/+fvP2AvrmlquG09LbLV2lZPr4CxglTHNFhzNjsLgSwGZttQ+r9vPqJsv2eTd5b1Wp1Qa3h6/V6tCGLQ6/guPf8dPI7iJ0wga8kOJ4gQYIQvZLDQiAaefJbCK+aPVyQvOftOeCrcwmOhe/SVCql37lio56wIafscDoS/UgA9KA3Yhpipq8nVGTjaoRo5C2F6NGMjXkcXKhC5AsDjHMJjJP4Cjel+qVXNStWjaVSKeLYtHOB7yEKwo0RGovFYpQY0Wq1utZNxshFRcYVAZoga7E43eqG7+M7XRxGKKX/s7cAKpfLUZKm1KlEYf44OO8PPHudHrt++vh37KrrZz9+jw6Uq7G8Xuq0C0KgnSsQIFOplKba0t9/ezpo8OwzSjppWXwg2OfBoA43+Xxen7x9OqnyuWct1dJCVvV6XVNTU9H+gp7WIAxgh3MVoZfEWvhxmCAQopcDguMr95V17V1lpSS9/WnrdeqapT35EfNlLna3s6HZbEZ7x36YmpqK5nK/IE0/UQ93p4Wu6KGCq9c19BJ/eZeE9wkHr36o1+vavHnzojpDJUiQ4JEJ1pzZQIDXk3lCoI0cLryQB55EdWtcy8VeoII9BBXurv2xZuHegz5TqVQiHcU5JFoqnBHNwF3l0un0jGBseJ1+fiSthu31vBq83/jigOQJcfCvXoAvklCHTgjPhuPB96ROxTnV1oxlqVSK+AcONegobkHOMXEJRQfmO6js5rzhcrjrca8oIqpWq12W3sVisee9RweXpudHsVhUrVZTpVKJqrfjiki4N/NN/EDbY26RHBr3LMHb/LuarSl97MY9eudXd6ncmNKZK7P6q+et0+M2zEzMBLRkcR5OUimfo2AKkBzgoDjEbe/R6P0z4d/Npegmk8loZGQkag8aB5JDFyIeInVcHMOE2V6f8xanc4W7XhxOa9wQjDnPQBzieCV6AntOf6cOcn179+5NguOHiSQwnuC4waACplfZhECYAf2ylOYCgmAsylRqzCV7Kfws2VZeRY3A5n1CEGzpwyh1CBYiBESBIDRE7acvWiFJuvr2vdpd7Z1hL80UPEIRkyDh8PB0FXSlUolIbC9A1L3PCmTJySoLJ9m0tVqti/hAMBAQvYcLvwfY6YTj7aShUqlEGW8A8iUpusdU/kxOTuqOPZN691d36hc+sVnX3LFfk1PSWWNZve3yMf3TK07RKx69RitGu/sdU43VK2vQM4XPGMvrL5+9VpefXFSrLX3s5v36/S88pImpDkkNM2DPXDGkD79wg55y0vQ9akv691vG9X8+t107yzOJo/f4prKjV7ZtOHZsPAbdwLktKPYy/P8/W7X4i89ZEm2UIEFeOR2SFp+nuAOQGQuJ9uvBGuqmhyr6fz/YL0n65cet0Fljuej3bCy4F8yxQUT6cDNG1nA/u/M4DEL6sBzKZrNRYgyEdy5ZoQtJMB1sfPshruKeijw2EWwcsGCbDUlwPEGCBHEYNEjTb6Ma9rhbCIEBbpTNZqP1JmwdMgjC84ZzZLPZyA6TdY1WQ953EA4gKRIzCYAjpLngKnXEKk9Qk+KFgbg10NcJAvecO9ysH7wCwft281382/u9IX76vfRgM9fLOupVKvy/987kZ9wrxG2Su/gcgXi4bVjtCu8gCZbvRWijUpbrkRSJ3QTa48a8UCjonU9bo2ecPt1m5MEDTb3uM1tVbUzN4MbegzLO2rEf6MHO3iWfz+v6LXXds7euYjat11ywrOffYnU+F550796GbtleUzolveyClVHiAnsIBDR4I85VVKn1smp3u3T4B9X0jLGLgFRH9RJ8s9msttfS+tvv7JUkver8pTp/bGjWZ5s9pvMoxOzQWWcQDJK4CY/mOwkQcG8HAVaqi4FB3odx+1q4Mvtl2m0NGuyu1+vatGlTEhxPkCBBFwblaP3WNtfOFurdSeGHF4KEgeRB4OsMmp+3N6PtDImAuDaim3jwnPcnPNcLmpy/EARmne2nVYa6I+ucjzc8lYKM2bQJAtv8LYG/kGMxNrRacT7Nz/l/OJ/zZ1+LQr6FjusuQLgkOk8jKRP9F61S6u4Dj84HcDeCp1L9nMlkVC6XI5075A0U1PBz5iv7hzhdnvOdT0IxgWjW8Hw+39Wesxdo1zkyMqJ9Ey39zuce0n/fdkCS9IKzluj9z1yr1cWZnMgr6d29i2QD5iX3BS0U7dD7SofHlLo1UFo7sv9zjdOr+kPgqkQSBOfp860XcEIA6KTwyrm8H0gg7Qfca6XOmOLEFc6TfjGExWxnM0h8KHwHcf+5l5yfF+LNhiQ4fnhIAuMJjhvs379/oOprSIO/yH0Rd/KzUC8eFjNfkMNeE4OgWCwqm81G4iVCFHZCLhiGoiPZcFLHUhyygIiBBRAB8ovWF6Kq8U8eIgdSR5AbGhpSqVSKKlqoqGHRr1Qqajab0WcJ+LFA07c8DgQ3vS8j2WNcV7vdjo7nxKRf9Q+g11w2m+3qNcQYesV2WNHkVn9kdZKYMTEx0bEUmmrrm1sm9OYv7NSbPrtF33lwQilJT9g4og88d4P+7Flr9aQTi5ps1LsSJrhOqttD60aIDfeCMVy5tKjfvWKdfvWSFcqkpe89NKE3XPWAbttZi65/ZGSka8wL2bTefNkqve2yMeWHp8/7nr0Nvf7qrbpuU7nrOwk8OunmWCzwZPnGVV3Pp1erpK5A/NV3lqPe4t7f29sDQG7jEIrwPha1Wi3KapY6ySdb90/o3V96UFNt6VlnjuqlF66OCBoVYHGVgh40xyI8n89HwWiSV/wa2FxB4AcldmxQZvuMpGjjwqa3Xq9HWdmDYJBkiPliEJHbK+4ZH6+G88DBoCA4Pj4+Po+zTpAgwbGIQe0ucYxxsHH2d/xcAiuzIc6efa4C6eTkZNea5JtzAkJUeyCiuBUlwqHUWS+pumV9c6GOyt6QqxOgJIEOXokIxPERE6mscaGI1jgETOOAoMd1Yq/sQW53GOrX45Dz5vywlfTKcfhhaNMYV93vbjb0yIyz4SfB1Hvr4arkVTlU9cC5+P3U1FRUgcXfw1UQExmLtz9tg15+/nSC7O5qS7/46Yc0XpuakdDnrZoGhVeNcV0HqnV95HvTz9yrL1yhdSumW/54gD88xqBJ0ZlMRv9x805J0mUnFbSqMBTNU+ZUCLfHjLPbBzzrWNB6n1T2S967nv0bewu3+5akfeWa/uDzW1RvtfWYdXm96vyl0fHglHG8MpvNzmhPQGIFlu5zScyZbY/qAib7auZs3Fj1eo54ThYDU1NTswY1pI6Vai6Xm8EraY/BWA4KguOLFfRPkCDBIwvNZlN79+4d6LMhl+m1714o5zlJUdGKY67vL/gLFdTwQLdPRhMlGc2/05P8qJT1JP5wfYELxbVZLBaLkb06FuME36XpNbtSqUSFAnA/XENJZsVqPoT35OaccJmBg3FNaIye+BgHb+1CQRBBT/RZzs3Xes7dz61cLkcJBVSqkmgZBu24b2iq2Kq7wxKJr2i4XmQhdbesJBBLAi/HgeeH1vKcO5xyPjbecXsMEi4YH66xl2vjDx4q69ev3aZbtk9oZDiltzx5TL988QplhmbqUyQDAPgDbTfjwF6K64/TRUka8YIZ7rUn60mdBE6eC7RtOGImk4laxHAPfdwH4ZWerEL1PbySvx8Us72vfH/BvorkmrBVVb8Addy+fKEwaGEj+2cKARk3qaNHzzXxY+/evdq6deuCOnYeL1i4lTJBgocx2u32QAImpAyRI6xIdktFF50WAggSYXbgoIC8cSzQbrcjSxyp8xJ2C2sshQkkI+bFXR8VPxzj1Rcs1e99eac+d/dBvexRoxorDEeZitlsNsoSJBuOILH3bfaMNL53tmoCAn3eY8RtyrGrYTy8pxCiXwgXIbHdJghNjyAWWa7fM11LpVIXiYEQEyCOhPCW9L8/3qtP3rpP2w4eCsSmU3r6aUW94oKVWjPSGWuvGnGBD/cCAt+Mp1eseFUSYpQkPfuMJTprLKf3X79bDx6Y1Nu+uEM/c9EK/dRjR1Q79Jlwfj/ppKLOWZXTn9ywS7fubKjRausD39ijbz5Q1e88dX1EhFnYyRgkEM1YkPmYSqWi8eIeSf1783F9YQ8oqRO0/tiNeyRJ2bT0knOXzvh7NhAEfuN+j41TaL0udURExmey1dZ7v75L4/UpnbYiq9c9preVZQgC3W7jRKsCSdHGphc8w3aQpB+IcQgyfzkG78B2ux0RNH/epP5B5fB5W0jMxUXD3yu5XK6rz9V8QM/xarWqNWvWLJhjSIIECR55mJiYULlcnvVzVH8SUPV1BfEJUYIExIWC85j5AMu/EKyBnCsiJlyJxEJcTxDb4HtSZ813S/V+1w43pUKECg9JXT35SIrimhFOCSyHVRQOr2wlEZTKINZEuBTuM72CfD5WkqJ2Sd6P2O2YGQuCsKxXxWIx+jyJmLgbEaxGGHLRk7lFopiPuYuUvqYyB0PBiHvJ8ZvNpkqlksrlsn7uwiUaSbf0Lz8c14H6lH7uk/frg89dq5NXTbv1EISnD/mgIg/PDfuUqakp/csPdmrfREvrlgzruacXIsHN7ee92sTbHfVDPp/XnmpL12+e3kO95JzRyP60lzDpIAG5F+9xzih1J1ySTEpven9W4WA+v9rttv7yW7u19WBTq4pD+j9PGot6WXKtzHfO3QO2Yd/WEIjfgyRn9+NjvAOYeziUOdiPslfo9/wv5H47xKBczoVq7vfhnle9Xtc999yjjRs3anR09LCOlSBBgkc2du/ePet6g+0ynMr3t/Si9fZ0C9WiR1K0pvOdcwVulHFrC9xG6l4zqR6XOslWaB+9epZ7EmS/dzQ6L5+Fp5EkyPrFeVA9jT4DD/VKYAdFHxybtQO9NbSoh6/2W3vdyYhzdd7BOBKwDMcBrc65h7s0sXZLiip+uWbWbG97CHf3inAfcwKkof4CJ4dXcp5xHIqAvwd5uZaQI/UCuj7j4vqaJ8Ryzfw/+7Wpdlsf/+Ee/eP3dmmqLZ24NKO3Xb5KJyyNL1DxSnzA+A2ij5GA4MkEDm/5GRbJENyGyzm3Qv8cdK9JQQ7PBAVmfg2e8NnrWig0m+391u/3nAPgHoWuChRg9XtHMacWA/5eng3sH9B049pYzRX79u1TrVbTCSecMO9WA8cjksB4guMC5XI5ygajAlLq2CCTyec9Z73SBWsP75EGOZqLxcVs8Iy58KXIeUJQsNiht0Yv4ouFjaSIbJEhT9DSSedsQioVDHzfhWvzOndVTrfvquuTtx3Qrz95XZTx5D3HQ+set8GBCEF2vYIBG6VwoaT61+GfC6uxWCipkOG/EW1De3XOFWGHzQBjz3wKK6ggMJ4Jy+/216b0v/dU9Onb9ulgY3o8RnNDesE5S/X8M5dobMnMRZQ56z14CA57pikkl2tjHCC7YSbxKcuz+ovnrNWHbxzXl+45oH+6aa9+uK2q//OksZ69sVcUhvXeK9fq6jsP6h9v3KdWW/rWlgn97H9v0ruu3KjT1JmDXmGGGAqJYk5wXYOCShoqorDqIZHj32/aoUPDqp+5aNmMeQMxm+gR/AcEqQEOAcw532B8+Pt7ddeehpZk0/r9K9YqNzw4ycKCVYoP+Pcjh2yAffz8fSZ1RDz/WQjmTXgfyLrE6od5NOi7brFsfOaSAennwPxfCBK8Z88eVavVhHAmSHAcY9++fdG70fkIoosHBeFEZOcToIVLEuAkmz+uN9x8gdjkFpOAwClrBD0BnSPFwfkHQW8qUYeGhlSv1yOhhrHxgLBjcnJSpVJJlUql57rh59LLJcX5W8g7ELq4R72C8KHAFop0oaUz14loxN8T1EWEc2cmxgsreefciKee6Mi+gCRIrzwioYL7y3V6L0mvRmb84E0uUJMYjICJYIo4TIAeXuXj9Mrzl2k0l9bffnefJian9Cuf3aYPPLutU5ZbP8Zmc+AAJBX+3stzZ6WpT9y6X5L02seuVC4zNKMaij3RoIEAF3s//oNpTnve6pwuOGF5dG/9WIyHgyovb+MU7k3cfl3q2NGTYMG+LjzvuOflUz8+oG9tmdBwWnrrZau0NODrbruJtemgvM0TfbleuLbfd6qUEEnj9i3VanXGOPBuoCqLivtBe88vdEI6mAtf9c/y34dbmTM1NaUHHnhAK1eu1Nq1axdNrE2QIMHDF+12WwcPHuwqIME5hLWfwgPWClx4POkSfsZ71de5hQCcoNf7GP2LYJkn5/VrEwlfZp1FL6QNj9ThefChXusGLSJ7XXMYYA0re3EY8r9n7UOjZAzgfGiJDi8u8PEJP+dJfKyNjUYj6u9MIiYapicZuhsSvBJOypwIeYy3DEI7BBTd8DN4qevNoaboSQUeJPXvDqvA4UFedd9r7UN/hWcBr7CdDZ6E7Em13A/4vu9tCG4eqDX1gRt26bsPTX/3FacU9cZLVig/PJPTZrPZLocnnkN3j3LE8cpwzxN3jaHFOno2ldMkr4aYK7+gMIbKeq4vvIZee9ZCodB1HsPDw12tUrEO52e9+FSvxFqeEU8E8cTgfsDFdTE0y7kUz3jsgj3B4WoAExMTuvfee7Vhw4Yk6XJAJIHxBMcFwo07gUQEO4JS4YaXRVTqWHOTSQdJIHg7n8zJOLBYh3Z6ofgKELlCoQogaHFN2OVJ6qoKcOtGAoihRTfw70mlUp2q8XvKevVFk1ozmo/s0j2jEFIZvuwJ1PuCFxInt3yMg98DxJzwnlC5jTW0/zdjhagF2YVoIBaSrYa46TY2BFQhbxDTu3cc1FU/PqCvbKpo8pDN97olGb3sUcv0rLOWKZtuR+PlVRqIk6HVKsSBc/TxcvtLEh6Y3+EGYeXSkn7jkpTOHcvow9/bq5u31fQb127Xbz9ppR53Yi76PrKTIQ+vvKigi9aN6I++tlMPHWhqvDal37j6Af3E+cv02otXa3go3fVdnlDA/3tAINxYhSQF2x8cEfiZz6+JiQn9802HqsWHUnrFBWNd4j1zPSRVcSImG03Glk0H4j7X9qV7y/rc3WWlJP32k8e0YVl+Tu8BRHPE9PD57Se2xW344t4P/FyKt1kjAO5zGpGW8fZNUD/S6lhMYW+uJJbM8oUMYkM4N27cqCVLlizYcRMkSPDIQJjYRaAIjkXgmwCp1KkW8ACkpCiQiRiKgLRQwG7bkxp9DfF1w1t09HrXVqtVlUqlKIExk8moUql0VVlIMy3Be1XV9KoiiCo1DvEdD8SFjjihQOpJpH4OnO8gria+jsWJsKybHjQMnVm8Qojr8QA43BHHI+8/yPd7kmm5XI7O3dd2RCEEItyT/BpoBeR7IrgNgntczzvnFp5M4fzpOWeOakluSO+/frcarbZ+89ptes8z1ujiU1ZE+yW+MxTG4LpuKY81JGP2b99+SI1WW+etzumSDbkZfUmd3w+yJyOQPjExoerklD5/90FJ0isvHJuRdOpW/z4Wcfx1eHg4do6PjIxEorEHhHmPxPGq8Gc/2lHTP928X5L0uset0FljM23PvYp+ri45IUfkfdYPcRaZ/r4BPN+hYC8NLiAuVsLlfI5LoCrUDg4HSdJlggTHLwi4+tqFduaFBeH70ts/ErySOgU+VFkvZGIRgeuwYrfXd1DI0G89wkmQ9XFoaEiVSmWG2wrrIutLXHC0X7Wo9z1mDaJQIVyT/N2OXuJaFL9HJ+pV3evwNTVuvOA9XrzDeEvdLXrQ59BtOT6FNCRZeFU3nNRbbaJvwQOl6YAjwWp3JGDcff+Atgu39Kpz9DcKn3zMuFdwobjEV3dSAgSznYN6cQjXiI5O4N0TQRlLrsMdVTnvyclJ3bmzqvdev1s7yk1l0tIvX7xCzzq9FAUxAXp1nFbpiY+hc45z2TjnIPY/4Tzx9o7onczbMBh9uCBOUK/XY5+rfsU34T6rV4W//yyOwzP/SBRg70WsgqA4fzsoL1ssXjkf8Iz0SzSYC1qtlh544AGNjY1pzZo1SdLlLEh8QBMcFxgdHdXSpR1bZbJx6G3CwuhVuVJ3hYPb+LDAU0U+l55ig8KzAqkyop8HRAgSBEmid2MIFmnOleO4SMViV6vVVC6Xo8oL77HSy1bzwrV5PWrNiCZbbf3Xj/ar0WhE4hE9fwgec76SoixXPo9tjIszzWYz6u/TD4hhUryACSC+3ucFUOWDQO3VJ/RRof+KEzTEYEQ9ruXWnTX97uce0Buu3qrP31PWZKuts8Zyevvlq/T/XnmaXnL+ShWync0M4vjw8HCXPTqbADYKOBtQCe4Zw75hciIWNx5k/j3z9JL+/DlrddKyrPZUm/rdL+3QP31vh3L5kahvHkFoqotPHSvoYz9xul56TicL7b9+tF+/9MlNum/ngWg8GXPsy71ijmtyQNq5Fog5BIG+94Dn9b9vHVfjEIf4hYuWdvXboZdpSDIgViH4LH1+uAee5XvPnrr+9rvTfcB+5jEr9eTTVnTN8UGRzWa7rsnnYy+yxkZ0riAQH4J7TBYtGwlEdbfSiuv9Q58onqdQjF9ozHWM6ZfVLxt5Pmi1Wrr//vu1ffv2hxWxTpAgweJj3bp1XesHwgF96qi8TqVSXe9ND7Tx3uCzCDiL0RuMxDAqJOjTx/qDoAQPImEx5BWAY3n1kAOBDF4Jb4J78y5mfQ5BcgBBU5JE6/V6lOzJ+o8g5f2YvcooFGThMbP1vSN5AWu7uPc8LjJDQ0ORxaRbZbPukFQHj0JIhVfDAQkc1uv1aF+CQOf823tOIwzztwilXv3iLWScD+JeQEIH6z9j6gF6qVMt5gkU4MknFfX+52xUOiW12tJbv7hD39g0HlnDw5GazWYULOe62W95D0tw8wP79OV7Digl6Y1PXBsJnjgTMW8Rw0JeRwIr97tYLEbXnU6n9aX7qqpMtnXCsqwuPXlJ9LySHOvXzv6rl1sY4xaiXq9Hc8irleBfnCc/Z49SLBaVSqW0t9rU+6+ftvC84pSinnNGacZ3SOp6jgnaDtKLc749vOOSAPw95s8+eympP48jqYNrYB4uFs+ajwBJuyWqOBcKJF0ePHhwwY6ZIEGChz+Ghoa0fv36rp+hw7EO03vYeZknCkrqqihGkwoDiwsF3Baz2WzEy0ZGRiLNDO2AJNF+/aHr9XpX6xmvkpYUBXPhlZVKJfobdE3Qy9oZfo6OBteZmppSsViMjkUin/cuHx4eVqVSiTiyc3USI3vpLA7Os5/NO8mncCJvx4gWCW+HK3pSJRyTithGo6FSqRRplZwnXJOqbbe7ptCHArI4vdsr7fkd+hm6Ies/gX64uifMkhzohVqAJEzAc8D4udYoKeKxfMbt9/1+MWaMIz9nH9FoNPTZH+/Xb39+u3aUm1q7JKM/fdZaPfuMJVFyK2NGwJZ2RFwjHMznhO89Qi4b5xyEBhqnV+JM5u414bziu4gjeJLuoIBns7/wHuZcRwjaAsxVs+NvQ5Bw6XsVqs35vD8nIS9j7nHPiAEtFuajN/K8zNZnfa7YvXu3Nm3atChrwLGEJDCe4LiBZwfyYq1Wq10CkS9InuWVz+ejALVX/pCVhoCxGKjVaqpUKtHLkgpnhFcC0CyCWO+48MjC7H2yB61srVarUa+fXr3pqBqXpM/+eJ/2VJuReISwyXlDfKiqQSTkZ4iLkrpIzCCLBGJKXNCQRZBjI9RBltzuh3Hlv8nmQ9zk54haXfZL9Ya+/VBdb7xqs976hR36zoMTSkl60kklvf+Za/Shl56qJ55YEC0BPeHCRWDuTyqV6iKJBHzdKh0yjsAIILP0MQo3IgTW8/m8TlqW1d+95BQ947SiptrSv90yrv/z2c2qKRvNL8RZ7kejNqFfu3yj/vRZa7Q0N72cPDA+qTdcvVVf2lTtqj5GUHQrdKnjFgC4d5D+SqUSVeCUSqWIEGFByjj8+y37JUm5oZRe/ug1UXA7rGBzcJy4DZr3JQWI0gfqLb3n67s02Wrr8RtG9LJzitFcbjabM0h9PyAMk8nrwncvUuWJJHMFtpgED0IHBUgiol82m43eGRBc/hsbYT6LcL8YVpeOXlnFvYAg3svK93Cxe/dubd68eUHF0QQJEjy8gbhGUqK/C3kXEASjVQ8ByGKxGIlS8BLELYKa8w1UzQYqVBHISIjCDtKT1hCrOB9f20gMJRg8gwv1sLOGq3DMXp/DVhOeFvZZ5jvgj84x3EmGcXRrR34/m0jAmCCCORCJ4NoE0eHp+XxepVIp4r3On6nk8uouSdG4hD2+pW6h17m/B+bgVYhtJBoiqnO94Z4F3sHxqXpi3+HXTtCWCu+Qpzx63Yj+5oUnKpOW2pJ+/4tb9bk790fzB2cmEiZwLiCoD7f2e/2RG/dJkp555lKduWokugbOJ9zPhPaSzE2qlBmHqakpZXN5XXX7fknSy85brtqhins/FsI4z7fUe37z/IfCHgkUHvwOe60ylrT8mpiYUKVSUWpoWO+/Ybf216Z00rKM3njJip78kEC7j+lszgi0PZoPh+F+ssci2aNSqajRaEQJ2yT+sr9hz+NCJsENeDHXEDcPFxKM01zAnCCBeiFB0uXu3bsX9LgJEiR4eIM1nOAy70J//6F/UCnOusrfoGnwfiI5c3h4eM7vuUHRaDQirXJiYiLibezX4ZJoBSQGevGN1FkD0a5co83lcj3XAHhXLpdTqVTqqXESSGe98zY36G9uU8867gmFtLdxZyc4fHjOvcaqVwGB6zNTU1OqVCoRHyCg6Tqkcwaqh9F7uS7OsVwuR2MNd3Qeg66EHsTv2Ot4pS7jC98giYHvzeVyUVEW5wMPRSvjXqL/EmQPtS32RV7Nj66MgxHcAk7qdubon3F6ci6X6wreolmWa5N6/9e264Pf3q3mlHTJxhF9+KWn6PSVHTdN5gJjPjw8HF2Luxg0Go2ouh3gtuAtAjwxJA5xQVyq/rm2fk5YPHfskeayxyQAT4sjElul7tazDt5L8wnysmcm2ZzkYxJ3iReg4fNdzF/25JIiTgqX5J6FmvlCY65jLClKVl+sgst77rlnwVpqHItIAuMJjgu0222Nj49Hol+vF45XtJL9V6lUIvIA2fNexaG1HoGjxUZcNpXbLkJoIJ2ehUTWHuRrkH58kF0nZY4LVmd1zqqcJqek//zh3oiIQ0AhNd5zqFgsdgUlWXAhU15ZNcg5kj0WJ3Zy3eVyuStDkOoSzpEECOaI25qQUUkAkYSBdrutVCavz907odf+zwN615e36q49DWXS0vPPXqYPvWC9/vAZ63Xh+lJEODm+27fzbyc/VF1BDHwRhzgTHPcsVLICPTAcEk4yShFOC9kh/ealY/qtJ65UfjilW7bX9EufuE+37WlFQibHQIRuNpt69Mal+qdXnKynnDxdwdKckv7yG7v0ts89qPGJyejeYAdKdiPX6efkwhybAMSzcrkczXHmyPDwsD51Z1WTh4bldY8fi8hpeLwQVBjFfQbyDymLNkpTbf3ZDbu1s9LS+iUZ/daTxpQOKtEg64PA5yrJB56RGQLyL2lOAXi/Lg+M+OaRjV+YBe1Zx2RLk217NCqlPQgyG3BUIMg/aO/RuaJSqej+++9PguMJEhwnKJfL0TrR612IsAbfILudoBGBNoJGVDqHHHI+7/q5olcvYngcaxuJhPBiBB9ESbjKbGsD7+VeFbZSR1CDG/EdrF1UAEidIHkYwEcAwWIcUQDuPhv6tfFBaOH+IRCRcFYulyMhOrRc9Kopd/yBm8MV3UIeMB4kUSB4EwBGjMLePpxPVJeTNOZiOceBC3B8ApwIkox3yHUajYZOW5HVh164UfnhaW70l9/ao3/9/rauyi+qy1iTuTcImohZX7xzr368q678cEqvPq8UVY1QNUZVN/sxEgW4Jr9275NI8vN19+zXzkpLS3NpXbaxUzmEaM9cDy1VewEHhLhnloAGe6GQL/QKdv/Dd3bqtp11FTIpvf3yVbF9Lf3c/Dg4LPR7h7jQPh9QkUVvR3+u3CaeKkAE68nJycjJgsSDfknbi8mv4pJReoF7zHkvFg/evn27du7cuSjHTpAgwcMP+/fvl6RZ34Voleg/fJaEKu9Pju7m6xZcY7ER5wgE/4FbUaXNu5R13YPO8KDZ4LwrLpAIP2Jd9zaPcHoPWLpeyjpJoiOfd40oTrcJ4UmHITy5E34Fp2HM0GKds+MMgAsOOjXjT9IElvalUqnrXPl7jkGwmYQBCkk8EdXXPnQlb73ojk1u9Q9n554TmEafp4LawXXCdRkTkufgy7hMeltSgvcUwpDQkM1mu5yZGM97d1X065/dous2VZROSa+7ZLV+7ymrlGnH7xe4HoLdXrjC/oBkVOeVXozXj9vwnHKOjna7HV0zvbYHhVfbzwb2C1LHTbdYLEbxkn5tHOfDjwh41+v1LpcDSVErMhJl4LsU5+BAQHJNyEkdix2vmUtwnCI8d5FaaLRaLW3atGnRC5geqUh6jCc4LuBWzP3gve14acRVIEPyyMSH5BFE4hiHY1lBVYv3f2FxicsIQyyE5GGjFPYpAR7MnwtcyHQxmKrx3//yTn3+nrJedUFFa5aOROdDpmixWOyq9oEokPEW17vPs+H6YdD+xwTEvUK8VCpFYo0TBTIjyU4juQCCuH1/RZ++fVzX3nVQBxvT3z2aS+vFj1qhZ56a15qlha6eLFwXlpZeoQW5oEpJ6lTyEJAmyxYCyfW67RN/QzYd40LfU45DoN0t9QuFgl54QUnnbxjVO7/4oDbvn9Rb//dBveailXrFOUUNpVPRd0DW6vW6sqmUfu/p63XZveP60+t3qt5q66ZtNb32Uw/q7U9ZpQvXdoKpngDAOTJfEUcRlj3rU+rYiNPvqNVq6Z9v3CVpulr8OWeUIqHUn2O3SiLLmuC6B/sBQn/Y6+ffbxnXTdtqyg2l9AdPX6dSNl7IZOPif8sGxyu92IDgPMGmkPkcN3ch/POx6YFM9ttw+3vQ35veS7YfwizkxYD3iQpFawQA5nvcfVwMVKtVbd68WSeffPJAm+MECRI8ckGmfr93nVuMw2/ogxf2oaZSljWQNYx1bJBKlH4gQIpoE1pBx/VG9OpaX9P8c4yBr11zAQHyuHGROu48Yb9ySRFfcit4xKlisdiVOMg64VVXg6DXu9yPhQjDuPg5eaUM8N7s/B3X6MmhiK4EdOFJXq3C5+CqfA/nxtoHv6P6SOokXLBGUi0F/8T+3Kt/ECaZ9/B6dx2o1+taWxrSh1+4Xm/87DaVG1P66E37VZmUfvrCpZHzj++TqEryvUk7NaSP3TRdLf7y85ZqVWlm+yqOw3zwxITQhYd9EmM1NDSk/7pljyTpBecsVW44HQWvHS5s+X32n3vLIf4/BMH7Xr274zjdDfdX9KkfT7cnetMTV+mUseKMHqVhkqt/N/tFfhYnnLp97XzeM7M998xPEoX4Ps4prn9mCJ9ziwWC414BRbIJNqm853K5XCTMLyZ27typdrut1atXL2qLogQJEhx9sP72e6+w5pGQRNC01/sBDuTuj6y1g7x7+8HfywRdWQ9IGg3PxUGyZfhuh6t6xfNc4P2cSQR0hAErb3GCzubVvARevbWP1OEUYNCAFhX8/dY0gn4c3zVUCka83SE8juAg3JU1zZ0omQ/wrna7HfEx1jvcrSiI4F4yTmh1hUKhq5qe46C5OQflOjzYyxj7d5DQR4tKTwJoNpuRZsv98qp6h7tGuY7IvsoTFJvNpr62uaIPfnuPas22VhaG9eYnr9TFJy2PrtUTBADcl/uJuyyfD+8jIOGDQK+7WnH/XaNlLMNe3OVyuavV41wAJ/Wxw77fdXK/x5K6tMC49xVOn4zrfDBbHIX7Fr5TOE/GtR+OhFbn75owkM+el/fo4b6PB8HU1JQ2b96sk046KUpQTjCNJDCe4LgAlpWzbWARI6mi8IAhL0/PpvNsqPDY4csccuZ9tnu9sMNgqS/CcTbovgAhmPV6wS5EFhKCKll+LJyPXpvXOaty+vGuuj7+o3163eNSXdXXCH70XSHQLHVsKf34wIWU2c7LeyxKHXGQnkxu2w74GcSHz2JtziaCQHatVtPWgy194tZ9+sqmiiZb09+xfjSjF521RE8/rahSPjtDoAJhv0tAlQsZjHwWgupVHU5EsO0JQYak9+ar1WpRtS19hQDErlqtalVO+qvnb9SHv7dX1945rn+9eY9u2T6h/3Ppcm3Idwghc5Hq9CvOWK5zVuf0nq/u1G07a6pMtvW7X9qpF527TL9y6VpN1juBcbJYK5VKtGEDjA/X7feEnw0PD+tfb562OZKkX3zMsuhaCUAgkCL4ut2Qg2pixsuzOBFCv/NgVR+/dVyS9JtPXq2Npf4ilQvZjBFziE0AfVA9mzYcg/Cexv33XNAvIODfiZ08m69Bk2n69c1aSMwmSrrAudiCKpiYmNCmTZt08sknL3iPoAQJEjx8QKXDbNyEdQCxiXcSlQy0nGGtwE6ad60HDh20uICfemJdCLdPlLrbBnEt4bsU/hhaboeBMw8QzxdUL5EAQGU9YP2JswuE26fT6Rl28FQM+OfmCtZ/F549wcCFUqp9pA53QfSgCpp9AEmB2K4jnlQqlRkchO+FJ/naT8IDgkt4LxC5vBenJ2AwN72C3pMgWq3WjGpp+p7y/whk4Z5jZWFYH3nxBv3KZ7dqb7Wlj/9ov8ZrLb3lio1RggXzl6Cjr5v//aO92lGe1KrisF589pKIt5KMzDiHzkuMh1fYOF9gbn3/gf26e09DmaGUnn16savaiWtm/nM/cL9ysRp4xXFo5+6Jmr0CGKEQ+OD4pP7q29OB+5eeM6pLTxjpSuT0ID4uA1wbvDKsFAzBPASefDkoCMz0er5IgmVesRcjQWAQvnik3In6tXbg3nuy7pHArl271G63tWbNmiQ4niDBMYxCoaB9+/b1/QzV1AT4wr+Hj5Ak5sUG4XsrfK9iv447TBi0Cz8bl3gG3KHHP+O20u4+6FgIrZKx6JUA4NotfNqLTdDa4MH8PQFyOOdcz9sLIjy5n7UYbgU/8vOiOIkCH9f3+Cw8iGAsAVr/Hk/AgLf4us9+o5cTlhepMNZucY5WXSwWozW1Vqt1cVE/dthCanJyMuKVzqsBLp9UL3vRD99BUD/UOuHUrp1Ottr66M3juvqOaY3vgjU5vf2KdSoNt6N9GfzKkyNDLZZnE35D0UuIfD4fuQ7wLMD/3M4/XO99zLy9K9/fL/GxF8JkHG8fijZfqVQiF6cwCTpujngAH+4012faW9bGgcJBT9DAgQKNuR+oLD8S6MUXeVbRWo8Ur/TgeKlUOiLf+UhAotomOG7g/VL6geAPtjMQIhcr3GImDnELAKKPHwc7Qe+b7BW/0szK6Tg74DhyJqmrgnyhwPkh3JEVh1j1k+cv1R98Zac+d3dZLz93VCvUEVIR/8ge9Aw0CGpctYJXG/QD4+Rj7Aul91gvl8ux9ibhQgqJpO/PD7eW9Z8/2KPvPtS5R2evyuvlj1qqS08sKp3q9Muhnw/nAFEiU5QAOVVZXKMLg2wYXIys1WozKmYgNS64Q17IJvXxI/s1vF5PqBjSlH7l4mW6aH1Rf379Nt2yrapfv7autz51nc4fG4oNkk5MTGhpNqX3Xblan72ron/4/h5NtaVP375f33mgrPc8a6NOLnRcALz6mKBxOMd5Dpk79IpuNBr615unRcPcUEovffSarmooyBEbD3+uQrIJscYaVeruq7T14KT+/BvT/f5efO4yPfXk4kBZzBBCTyAJnQKwPJ0NYYB3PtV5fH+v9wLPH3NgrkHuQZNYjgSOVDA87ns3bdqkU045JQmOJ0hwjIJErUHg1Svepy2uQnvQ9y2cNjwHNtgkglEJ7N/l342rhsMdNkI3jsUIzHggGFHWq3IQEL1iBMC1w37bfI62PeEaO+i9i1tnqfT2hFWqm8IqYmwnnX8ggBKI9XY3XIvvB7zagEQLAsN+DnBNwJh46xEccxCcEKkRFOHfrP+cN/MdPsr1wy/dccmvtZRN6yMvXK9fvWa7th6c1OfuPqjx2mb90bNPiqqBvH8693bfREv/fSgR8WcevVT54XRX4it7BirgXPz2pGUEVxe2qfi96vZpm+orTx/VsvxQrGMBCS3en9It3x3hs4JrgJ8T+0Of81yTP/u15pTe8/Vdmphs67zVOf3sRcui83F+xrxmj8D9IMkihCdSSzPF1PkGoPuJnvAgKqrmKpDy3jzaCPcsRxK7d+/W1NSU1q1blwTHEyQ4RlEoFLRnz55ZP+eJX6xJtOvxdziBrV774fB97xbVDiqVPRHLPxOuI3Fcthe/xd1loYNCcEmpU7Xp3wH/YMzgmKxTaJYUrPj5Sr0rZQfpMe7HkbrHD27FfXUNkcCzJ15KHXt6+Iq30gnPl6AlFt+4X+F8yj/wRDQ0fo+OyncB+JbUaa+CyyZjjJ4LJ4NHcV60r3R44iNwHhs68MCjvTDKEfLxXdWW3nf9bt25a/oZeeV5o3rtJeuUGR6KildC7Q3d1vci8Hb0fPTbkNvxPIYFdySyhImv4XeE8wXA+yhcI1FikOAvur6707bb7a69E3NmkGSQ8L0SxjYGAfupXu8FYjHsc+b6/giL8I4W5uvge7hot9u6//77deKJJ2rJkiVH/Psfjkh6jCc4bjBXuwiy2dxuCORyub727PReAZ7R5/BsTGytw4WDBYcKj5Dckt3p5+2I67GzEOi1Mb9o3XTVeKPV1idvn7b/w3qR8+QcwwUplUpFQU8HAuFcASHA8p17SfCXc+Af4ERvaGhI1Ymarrtnv97wP/fpt655UN99aEIpSU/YOKL3P3ON/vbFJ+uJJxbUnupUhLnIR38U+nHWajWVy+WojxCiGWSGRZI5RrauB9dZRLHicacASVElktSxKoJI8g/kLgR2TRzzaaeP6i+fu06nLs9ovNbS2z73oP7p5n1qTXX3vMTGCRL9onNG9fcv2qh1pWlRbHu5qV/8n836+M07o3tMxZtXkCCixfUkwjYsl8vpX3+4L6oWf/3jl8dasFINFZds4fcZBwe+s1QqRSJxvSW9+yvbVZls65xVOb3h0rVRpm6/TDsSWVxA99+BSqUSbWT69fsJnwGE1/mg198RMIG0z5XIHq7d77GCer2uTZs2PSzE3AQJEiw8vLphUCA2IS54helswqBbaEvxHMxFTUQFbP78vHlHI4SEQoxz2zC5p1f/5PmCgCXBQqmT7Ofw8fKelFhxItKFgWxPSgNUs8zHRo8g3cTERJfoBV+D81WrnR6SIS/3n7PGuhsUIm24/rJu12q1iNvCKavVqiqVShennZycVLlc7rIop3efJz4wflThjIyMRH0LpU6fRCp93IGHv/cWS+H8yA6n9X9fslGnr5z++be2TOg3P7M5EjTj9kf/8sP9mmi2debKrJ5z7qpovpNkzNhwzt6znkRHkj/dIYFnaNPuir7z4PQxXnBmsatqjXFmX+ZAKI+zQQ3nkycg0pORhFXv716r1aKgP//8zbf36oHxSS3PD+ktTx7TUDoVHTPOHYDngHvK9+ZyuS6+N9ucn29iY7/3AgkY4TtvUPj1HM/Yu3evtm7desSq5xMkSHBkMR+tMgzCubNNHP/ph7g9P8lcFArFVfC6zhHHZWdLsl9o3QB3Hr92t/MGuVyuq81eoVCI1ku4QlzVahw/m09VLGBd9tY/FIN4n2VcfPisX0e1Ot2XvNFoROfhazJFO15ERDCXpAc4Zb1eV61WU6VSib6X301MTKher3dplXw34401N8Uq9GlHkyOoDJeWFJ23JyFKiqqUQ7dDtPnwfvEc9ALaX6FQ0PcemtCvfXar7txV05JcWu+4YrV++tHL1ZxsRONM4gAFUmjLpVKpq5+4V+rDl71oie/t5RjqFdb+c98L4SLA2IyMjERJq4xrsViMzsFdevoVauCCELp1+XPpiSauO8dxs/CdM99kvl7vBc6V75nPc/dwCIofbbTbbT3wwAM6cODA0T6VhwWSwHiC4wZztYpgsY7LOAstYOIQCpFxyOVy0ecQc8LFi6BwnIV62D8vLqjMgr4QQISUNCN7ku+galyS/vfusiaUiWwuOWcPQPq1eFUvVU8EFp18YAXZD0NDQ10JCVgHQTgQi/mc9/OMgrPDOX3ylt16/dXb9O6vbNNdhywXn3f2Un3sJ07Ve557sh5zwtKu/n1Yz7g9URwQv0KE88qD12HQkepxREvuAf/vGyysg7D7ZGypOgkBkSUr8uSVBf3Zs9fphecskyR94rYDetsXd2hXpRlleFLtjlCaz+e1vjSkf37V6XrR2dPZaFNt6cPf26Pf+cIOjddakd116CBA5itjxIaM56PZbEbVRPnhlJ579opo/NxmM5VKRfe6UChoZGQkssBFAGY+QFx5rvj+P/3qQ9q0r6Fl+bT+8MqNak3Wo/PyvlOAY0jTm0yyR/uBqiayZuPmQq+e4/NBr40yWecIv3PFQtifHSsgOH6krJoSJEhwZDFXXongJHVXag9ioUYyFoirZCa5ypPoaCUEZyJxk7Yw4TpDkBTErTuD9uceBL7O+DoanhfVJ7lcLrJnJJjOuITrsNsfStO8AlHJe0jyu9ngwVP4u695uVyui1+FnJLvpVKG4G2xWIwELrgDVRo4xcC/+409xw4R8mWqeEKhjmS+iYmJKGHP/4bER8aCJAqq0tzyPfzOXCajP3/Wal20fvr6frSjpt+4drsmzSoe3LevoS/eU5Yk/dLjlqt96D5jH06lF9fszw7WlVhaUjnNvUf8/tTt42pLesIJRZ29flnU789dc0Lh2St8EIKdV/ockDotAOCWJGlSFYSdPOfLPudTP9qjr26uKJ2SfueyMa0oDEfznGSKuD1oGCinbQ8/J0HCEQqPvteaK3rty+DX802oWcj3zSMd+/bt05YtW5JEgQQJjkGw/54L3JGE3sCSugpSegFOxefj1hX/OUmdIyMjkeONpKhgIS4oHlfUExYWzTdpKg7urucJl5Jm8CPWYNZ71nZ3hHKOx3WH1fFuec73oS/Odq7e5odiJ76TJDrG1rVKkuG8XRAck2OhK3NcT4plf9CvwMKP54hbfzzgLHWC8liWo4fxOdrgFIvFaB9AALrVakXJg2h+cfyBpDl0PW/xE6dzRe4JqbT+77e36Z3X7VS5MaUzVmb1oRedpIs3jET92f3v3ZmB8cdenITn4eHhrup8eqQzt9AU0WsJtHN8kgjg2SQScDz4KIkC4XNFmx3n7iSHsh/0MSSZlbkUthqKA3sREkS5vw5/B4H5aoO93gvozDx38+FDiaPjNAiO79mz57hPukxmRILjBohU86ngC4neoBbKkIFegqdbq3tgkEWeLL04xFmAILw4EIGopDgcq+PQvtLtmdzW8Ymn5nXubQd1+44JffyHe/Xzjx6NFnEnnJyrZzD69bllHQTPg4dutYkVIRlziE78rZNOKn1yudyMfp7StIXjZ+88qP+9u6wD9elzHM2l9bwzl+gVF61RXpNqt6dizzm0nYzLNPX5xPn4Ah/Ce91DKsP7CPlCvORnXjHDuTG/IMhYaSLgcS997g4PD6uYz+pNl6/XhetG9IHrt+v2XXX9+jXb9NuXr9ElGwtdJI2NFGTulx63Qk85dVTv+NI2HWxM6fZddb32qof0O08e0+VnrIyyVXkGGAcyFP0eZbNZfeQ726Nq8V9+3PIuO1Xug5MpAu1OIsNNC8JnuVyOrvlTt+7VdfcdVDolvePKE7R6Sa5r7rIBc4t3MmkdofALuSQpwIMcbn9E5RPXFmIxSIzbz87Vrj2pFu9Go9HQvffeq7GxMa1evToReBMkOIZQKpW0Y8eOef0twWtp8MAP79derTAIrvn/E+j0KuReyTqD2lm6BeUgfYx7IbTX8/XGnX08sEeVMb2pqYIOz92ts6VOL27GDUcZdw8Kj4HoheDk/IF7RmsU+DoCXb9x9HuHHWSve4IIRS9yztUBZ4Dnu2UmvNkBf6eCis+Ggq+31okbJ4L+ntAodXpQwpPgrKVSSe+5MqM/vm67bnigqk37J/X6z2zTx37i9Igrt9ttfeTGfWpLuuykoh570opIhCsWi139U+PGDB7M9THv3fZyb6WhL983vb948TlL1Gg0Ztjt4+AkdcRX7+XOd8XZxcKn3VITnk2SBDwTC03G7ZYHx/Xh70237fnlS9bocSctm1H5BuL4H3uPUOh0W3fuR68xjAtkHA6YByQqzBXHu1gX4sCBA6pWq1q3bp2WLl16tE8nQYIEC4hSqTSv92+opQ363mQt6KWPeiUwazv6Jdyjl1ZAsDgu0bEf5qvXSjOr08OES+eV/js0M7hAXKA/tM8mqY2fwYfhP97zWlIUyIZThO1bXKeDYxMcdLdIR1yrUHhAXPKr82AqsePs9knGdK7H/feq6HD8WO/RWWkdxPiRqEthiSfx+h6GwD97C3RO7ocndHgVPMVkPp5gaGhIBxpt/cn12/WDbdO/e/Gjluv1T1itdHsq0o89aOqth7iXaNKMIdyGRET2KKVSKeJ6Usf5C02ctp5cMwmr/jdSx8WSYjeKfjxhheefcSE4zvOLW1ixWIw4Ytw+xfdy3r6oXq93tVkgidKThSnyC7EY2iBjNt93xUK3mn2kY9u2bRofH9eGDRsW1BXukYQkMJ7guMJ8K6fdtm4uL9LZes2k02mVSqVI9IB88J1esYDAAuGIO24vcZVsNsSR+SwEcQKQj2f4u1c+aonesWNCn7l9n1554QrpEDlzy6K48yMwSoUHCzCEiKAuwpdnrwGCvt6vkR5B9FpENIXYFwoFbdnf0H/dsltfuPuAJlvTZGNdaVgvPmdUTz+tqPxwWoX8kKrVTpUXhI97CGnifEqlUkQkXLwEXIcLX70SMdwKXer08AntmzxZARLlCROhRTbEis/z3W4L7xY/V5y+TCctSen91+/W3XsbeseXtukVF6zQa84raTjdqQohOM25nbliWP/0shP0Zzfs1Le2TKjWbOudX92lp91f1a9fOqbRUue6CQZDUDlnbJs+fsve6XPOpPSC81ZF94NkBKkjsns/RgcZn9hb0nse/OChsj707ekelK+/ZLXOX5OP5iV2mDyvzKO4zaELn8DbJoT3O+zB2G+DPN8+43HuEiEqlcqcrcE8OSRBB7t379aePXu6sr0zmYxWr16d9ItMkOA4Q5ipPug7gBYg/QRMryzwahgPmvJe53hxQWH/zhBUCiFozSfhJ+5vqGYnkN8ruIx4FApkcYmIVNtgBelrGgIXlRSenOfBbYTDEM6nSWIjUA4/9H59nI+Pqbd6oXpI6liGe59w7iFC2uTkZCReutAZ15vPxVk/H66B/QV9qwmoU93CsQqFQsSjfR7G8Zhisahms9mVLFgoFPTWy1fp776zR9feXdb2clM/+e936UMvWK8luSF9f2tdt2yvKZNO6RceuzzaF3FPsM+Ms1BkHjB3aFETcq3P3L5PjVZbZ6zM6VGrstFYEjzmvjAGVOC47Sjzxfcp2KvTm5F74UIi48vYuL3rxFRaf/y1nWpOSU88oaDnnd5pHRDC+54DriOVSs3Yq9IuiL/tl7ixmAl8SZB7YdBsNrVlyxZt3bq1i1MWCgUtW7bsaJ9eggQJ5on57gnRhzwRaRAQzOv1ebS5VqvVVYlLgQpVxwTPcCYk4S7UMHrpqDirTE5ORmv9XBHXyzhMuOwFgtmVSiUK8IVrrFcvu5sPwDkRS3tPICBBznWuOIt2d5KiEAPticRLv1cE4sPq4TAYz89IjISbSYrcitCf4hICSBR1vhOCog50O8aAAhd3GKD4Bp4Wl6ARtqyh1WO9Xu+6r85v+bdzdoK7N205oD++bpv2TrSUH07pTU9arSedkFdqqqXhQzyT73XrcNdNaafqrXf4u0KhEAWQGW++Gz4Ir+Q8vYUR9vW+lykUCiqXy8rlcpH+6DohwXD2evyM4+Ekxv6hVqvFPuu8P8L4ghc8+d+FgXF3aggRFtPNBbO9x+DVc9Ue56ufHsuoVqu6++67o2cSXrl8+fIFc/R4OCMJjCc4bhDXZ3hQ8LLlBUGAGauVXoEjqhx6LQTeT8UJlNtLS+rKJmPx9MoG0Etw8CDxbMF9JzFk6vXKKiPwGXd9j1mX11ljWd25u6F//f4O/eZTToiCgZ5dBtlAaPXvCc8RIRdbPim+bxF2kCEgdS64tlot3bm3pY/fslXffqAzpmeNZfXSc0f1xBNLSqfUZU/KGIVVvlTOuBUjgVZ6xIfn6pm4AKvFcNEmyO2fJ3OQjEkXyyCnbF44JsTdx9czNzku5xei3W5rw7K8/uIFJ+j/fmenPnPHQf33LXv1o21VveXJK7VaHTswP99cLifV63rXM0/QDQ9U9N4vP6TGlPSVTRX9YHtNf/SMNTpxacdiCWIejtk/39TpLf6Gi5d3zRssKgkAIDxyr30u8HMqg7oSPdoZvfdrD6rVlp5ySkkvPW95tAGiXxABCERIf78gxnvVUC9wn7gf/j4hUMB/h3PCAwlzwaDCZ5wzRT8kQd7eIIuYeTI0NKQ1a9Yc5bNKkCDBfDHfJCAXEkicom2Oc784eCJhL7jNndSxY2T9l6bFHAJpnsAWIk6cdJtBzrvfObMuUMkBj4sTJhBb+iVkIeSSLMlxWJfheFT+cG6h4EdgHy5OIDuuf7TU4ZA+DtgaOtchAB8mITIGkiKOzd9S3eyfx7odTsl8cWE1tHOX4sXfXmt+XFIE5+VV0v55LDsJWGNbHsL7XnPtfM+vXLJSo7m0/vPWA9pfm9Jrr3pI//clJ+sjN04nPb7onCU6cWUpuh6C0fA7rpnrgif5viusxqpWq2qnhvSZH++f/o6zl3RxFl+fSXLAipR5SdWOP8PAkx6Yl14hTdIFAiNcXJLqjUn90dd2a1elqY1Ls3rTE8dm7K/YMzEevZ6RuH2ef5YKNKqOwnsHx12MIHbIdwfBoAGe4xHMI58nSWA8QYJHLubb+9ZbEcJLXAPqp0X20xHQMFjP4IQE0ryYgt95QmaIfoFx/n42bYN11131enHKQXUSClUIYIetHScnJ7t0IEACANzBtSDXU0ka8Gvwln7+ef47TGYkaSDUs90+HX6E5ucV7QRlnfdxbYx9r37w4c9ardaMimj/XcijPVHR5xH/pmc37QwJIsfB+UyveeY6cb1e13//aJ/++Qf7NdWWTlya0dsuX6UTlmaiYLbPSSq+aXlF/3B4oN8XT0SOA2Pgz8fw8HDEZ9kDhhw8dBTg+atWq9F8w/2HanAKfMLKendrDZNgPNge14rJryMca78PJBD3ciKarz44CP+bq2PZ4ThSHA/gfcB9XLJkyVE+oyODxNMzwXGD+RJNh/eVI1g8WwZNvV7vaUkRVm1CbNz2WppZEREuOGSJ97MyAt7DOASiH2JJtVqNteFxeL8YRyqV0qsvWCZputf4g7sPRAFwSKAH3OMyD8kC43gsjp616BaPgKw4LEMnJiYiQspGIZcf0fe2t/Tbn9+hN332AX37gYpSkp6wcUR/8sw1+rNnrdWTTiwqn8t22S05aXUgTkJcvX+8pCjTdhBAxIrFonK5nHK5XFfmlgOCw/mFCz2BYTIXyQqN25RQ6cQ5QKwZX0giZD411dLrHrdCf/j09Spl07pjV02/fs02fWtLNaqA92MSLK/X67r85CX6j9ecoTNXTo/l3omW3nj1Vn3yjkrUm4es43Bs/ufHByRJhUxKzzlnLHoeGDfudbVajRIVII8uRvsY0sc+k8moOdXWu770oPZOtHTy8qze/JT1SqVSKpVKXd/lVV5U5kkdCyscCaT+Wcr9yD9/m0qlej7f87GwHTQw7hvguXw+wew4Xq2KEiQ4VnC4vBIuWalUosRBRI9ewGIxTmRA0JM6faSpFPFgeiishTbh0nRSFIJJiDB5qx+vZL0lyMe63O/6+l2/1Hl3ciz6PsILa7VazzWLYCfXODk5GXEN3H0QSMNrpL8z/1A1Qv9k+pYTFI+bH/BabBDh23EW05wbfQfDvofu5jMb4EKFQiGaP1SfhyDYRnVSCALDnrwbNx9JgmC8aV9DD/afevRy/cqlqyVJ1cm2fvYTm/TQgUkty6f1M49b01VxJE3fO6+ekhQlJhLMRXBlT0GVTaFQULFY1Nfun9D+2pTGCkN68kkdMblQKETW+hmrHCI5EI6PYMv8IEEjnU538Z9Q9CWhgfniCdbNZlP/dftB3fhQVfnhlH7/ijUaW1aaERRnz0SScD++5a0IQhAM71UliPPEXDFoIN2rsAZB0gtycMz27kyQIMHDF2Fy3HxAogzBPtcneoFgZRzcocV1Tw+cSN39u0nqc5BkNsg6QbJiHK+giAM9Dj7WL4DW7/rC6wx5jes5cVXeXBugQth7aXNMvx7uj3NKNFfXk0qlUlR5n8vlYvkzvBnuBh8J1wO4g9RJigyr8wcNYGIFXiwWu5yopPjWnu6MGTeG5XI54s1wsbhrDfkJwXR3y+J8isWiyvWW3vWV7frYzdNB8WecvlQfeumpOuFQIQ4aKcH8TCYTJZ2yjyLZhLnH+TF+4dziZ+yjaD/gY1ypVKI9B1XjPFtY1sfplVKHE7HnI9YQBsUp0GL/RYEGxyDe4PvGfnBn27jfsZ+JAy245opBNE7fIw2CuGcjQW8cL3plstNIcNxgsex9ZyN4BEo9kCbNzHBD/AoD32GFMIQHcgaJ6CeQhCQntP8Lq5kHqUgCYS8WxxNOGtXZq8Z1x666PnHbuH7pcSuiLCResh7EDMeF4CyZc1RIIERRre8WNj6ebjcJSZtsp3XN7bv1ydv2a/vBQ/1JhlJ69pnL9LzTR3Ta6lKXDQ9kt1KpROJXaPMeAuLhfbwH7d3poOIkl8spk8lE1TdUDZFYwSaIahbEWr+HZMf5OYTjVavVIhtGxiDMEqZHIeLhxMSELj9tqc5Ylde7vvSg7tzd0B9/bZdeePYS/fxFy5UZSkWZw9hzUi2Tazf0gWev1bX31vT339mpdlv62Pd362v3jut9zzlBhXSrazHOZrP66I17dMjlXq+/eHmXaIrwyxixuaACn2CAV+lInaxdNkF/962dunVHTYVMSm+7bExq1pXKTp+/21FJmjFv55sRGdcjVVJkd9Vv7ixmjxw2HPV6faAKIpI0ErvM2ZGQ8gQJHtlYLF452+Y+zlUmzuUFsSzkn4iJkqI1HaGJ9aSfQBIKFfBc50UISHzvXBK44ioTQNzP3SrbbQwrlUrEb/kM1unwR+dIbjFNZQ1ClbdTwmUGK3q4hq//JCVglQ0PjeuZmMvlZuWVcEF4HYHtuay1VMFI6rrnUqfKDHHTe4rCK90WHh7vlTZenSZ1xCeSBxHV4JmlUknPOz2lpfl1eu9129Q6NEWuPH2Jcum2KpVKz/0ItquVSiUSEKle576FVUD5kRF9/IfT/btfePYSDadTURKm25D7mMKtGR9+xhxF4JS65ybJmJ6Qy7MQiuTf3zqhf/vBPknSGy9ZoQ2ldMQ3vSporvDKIgfnudCJjIPORa+kH2RflPDJwXG8CJgJEhyLwOp6oTGIThDnHhPnBkTiYLh++Hl7ix6pY+09Fx0sbFcndQfppblVofZaD9110a8FnudjwN86vyWBzx0FSTyj9Qz21fyduwXx3xSSuEU1luzwR6kTFMVx1N0ZcdaRFLXH6efQgrMSiHO2nA3wbB9DqtbhvF5VTQDbbfPDNqHOg8Oe8FS5wz8ZG3fJpFf4ffsm9e7rtmv7wUll0im98Ymr9fSTcsqm2wpLTdxRCu3L2x6iXTLugPNnnHEBwKkWx4LwHqDjc/9JOPU548dnXD0RlfNgv+MaLQF/xj0Euvhc3XTjnjkSCmbbE8clTMz2XYPyP/i2J4j3w2K2DDqWkE6nj5vk1OPjKhMk0MJUjMdhkBc24hskoJc9MWKeA9s+qWPD5/bbg2T1x738qfCBvIZZn6EFYT8Q1HNbeXqb/OT5S/WOr+zU/95d1ssftVTLR6bFnbD/M/AFHetPLGdcBMYyxiunIBJuPwhZ2zfR0id+uEv/e3dZB+rTYzyaS+sFZy/Vc84oall+qMuihmNR4U4FOiIpFd1xlvZSRzjknvUKfIbwKiPvTcNmyXvUuICLoInQShKBuxA4fA4ytoybZ/RSrQzZ83Mje7JarWrdaEHvu3Kt/vWWcX3ytnF95o6D+vGuut5x5Qlapo5FUzj3i8Winnd6ShesWqc/vG6XdpSbum/fpF7z8U36rUtX6LKT1SWg/feh3uKFTEpPO3VJREDZiJBowfxFICVAznV5+wJPzPjGg3V9+o7pivS3XL5Wp4wVow0O1TUI5k7oU6lpgZXM4rjN12yA7GN762J+P8xmYxuHufTW8XmCZSoZtGzapM6YJj3GB0MiYCZI8MiFJ0gtNAYR+3zNlqbX1rh372zrEAE/T5ScLQgXJ9wi7IV9CCVF68RcLJTjRNrZOBS80ddfKjL4GWJmsVjssoN3YZJzhxuE4oy3UQmtLQm8+3jSkxIRj8ptvpPxCb8/boz9+5vN5kAWoT5u3toG3oTw4RyPwDL32oPeXHs4D1xUxTmH++L9uxkDkgGetKGtx28Y0Xcfmr6OT9w6rvNX5/TEU6db2CB0Mo7O2SR1JchyPzk24mOr1dK3No1ry/ikRjIpPe/sZcrlsjM4vFedeMIDiQEkQ1AB1Gs++rvBk1Cx9US03jpe1we+MR2sf96ZJV1xSinilUNDQ5FVqVt5zgWIyW5FPwhfnE/QfNAgBTxZUlcFHHMw5JVJL8jBkfDKBAkeuVjM/fNsLWqkbt7l/YNDxAWeeE+jXbgl93z705KsRnGGr12ZTCYqbBg0mcC1WI4h9R531ir4EBzMg/aeAFosFruKeyR12a9T7EOAOOS38GSOiwuiB2zh/XBdL4zhnlEZznrab4zgBnBBNLPZuLqv995LngRO1nESFrmP8CbWKnpgc37h95Lsytg4P3Iey3mwD7jmjv368Pf2anJKWlsa1lsvG9OZq0YiToFO7cVW8MEwQcC1+FKpFOmxUmfucN+azeYMe3nXKv37w8A7Y+p7Ew8mx9mts4djTlJME1axe9shOLIXEg2KUM/mv2ebLz5HBoW7jc0G37d50gVz0XVwT2hN0B88Y8cDksB4guMCC2FN1AuDZj6xqEM+PHhJZluvv/PKk1AYpO/gfDLq4/7WrVX4LoKuiEVhQBYyjPU2Imu73e7qNU7VuCPumiBM3qcRwsYL2vvlkInHdfCziYkJbd5b09V379UX79qvyUNDvG5JRj9xwQo94/QlKuYyEeklkAzJarVaURUJNuC1Wk3FYlGNRqNrjBxeqU5wHNLA9/QSq8MgJ+fAnIFUQ0xIuiBY7uKqZ+dCCrAbd4JEwJ/7SNKBW0lC0P28qJ6WpjcvmaGUfv6iZTpvTV5/8Y3duntPQ6/75Cb9xqUrdeXZY133e2pqqkv8OmFpVv/yytP0t9/aqU/fvk+Trbbef8MefW1zVW+5bJVyw2l99Ma9UbX4Gy9ZERsQdjKE4EawHyLdq9fW5v0N/fn1OyRJr370Sj1uXTYaa94f2BtxX4aGhjQ8PByJsIwxVT5zFRe5z9hqzYaw7cKgmE9vcr//cZum+bgiHM9IBMwECR65eDgkACG4SZ1qBzjBIGsPnMZFS9b2fugnQiKCOdzJhiA0VbAIRd6HT+r0OHO770GEDCo6wmRKF7EItMIhWNP5vfcB957TXB9tgbgOOBeB5UwmE1XLwLW4bhIlEbSoEMrn8315JWIlgX7nF/3W3tAm3xMmCbbS95pqFTgl/Q/plU4Ane9yzoPjED8PuT3V3fw3DgPValUPjk/qxq3Tz1M6JU21pXd8ZafermFduj4TXS/HY57DQbmX7FHcxpw9TSqV0iduna7KftbpJS0rxieShBb4XvWN+wKVOLlcLqq26lcNx/xmX4Og2Wi19d6v79LB+pTOWT2i1z1+lTKZoejYCN7Mz/mIU5OTkyoWi10C7GyYL5ebTwDb/ybuncWzlGB2UIWXIEGCRyYWk1eG7Rt7gaDt1NRUtP7BK/sFvzygSmELiOvNHaKXjsnPw/UBTuEFBQROpW4uisZFEiNFMzguzgYS9Ag6cz6+VsJn0J48cQ5eh/se8KIiCjjQh9GDvPc6iX5wOHfVxPabn/t+IC4x1QP3cGbGYnh4uC8PCIOV8GoSFUj8gzcR3HWb+FBD5t9UW3urITgcmjj31nuco521NKQPfH2Hrts0zTcvPbGoN1++Vlk1I15OGwCC1dw3kj7ZB1Bo406a3kIUPRWOF1cZzuf85+5OxZyFI0qKeGW1Wo2dn641om2GsQ5vS0ULTfZgXAMtk+bK93AaCJNV+mE+rkfS3HuTh21M4woOk2TLwXE8uVsmHgIJjguwcCwG5rJh98oDqrTpi9ELVCmwaHuGFoJPv6A4GXGDgmwzyBqinaTICpG+KpA8PpvNZqMsNAhdJpPp6jW+b2LmfaCahGNKHSJMhQNEln48gKw9Egz42+9t3qc//voeveHqrbr2jumg+LmrR/R7T12jv3/BOr3w3OVKtaYTEqgc4jshyvw/ZBirboQ47j3CFf1k/Fw4HqACO67XUVygF8GP30EO+X/ESMQjetlUq9UuSyXGCaENckj1CwkSnD/kGlGVcw7t1xGNIYmFQkGXbCzor567Vueuyqk6OaX3fn2XPvDVLapPdjIeqVrxcWrUa/r1J63R+65co2Jmmgh9+8EJ/ewnH9T9B9r69B0Hp78jk9JTTi7NIFl+DpBYt8jiOYqz/680pvTer+9WvdXWYzcU9ZoLls64P9wj7mOpVFKj0YiyNElgIOFkrtYzbIb4ZxCEfYsGxSBVgQkWF7t3704E3wQJHqF4OATGpU7/awJzcIJ+/RQR6Ugao/oE/jDbtc2n/zDJhQARh4ps+AXiHQmG9DmnusFtBHuBRD56RxOYZ0wQUBGA6dEHvELF3WIIIHMMTxilGgje5XZ+iJOeEIkVqSc3hgFdzp/AM4IPgX0AL49LtoLTOUjUnJycjLg1PLtarUYi3sjISGT9TmsguCPXDK/05FJJM1oJYQ0udQc78/m8PvaD/Wq1pcdvGNFHXnaKskMptSX98Ve26pq7yl3VYnw3VTHwWSq7ws/QM/TH2w7qh9trSqekF549GvHaEKH4TsCdMWcvRlIic7PXPo7ny61nufb/+729umdvQ6O5If3uU9coN5yOqvLdLQuHIhIxBgV9LudaGTNfi/VsNjuvd0M/LGaroGMN7XZbe/bsOdqnkSBBgnliMZPL52IdjFOha5UE1XqBHsIENLH5JqmtH68M+1wPAngPXI8AITzA+0C7Rkk7wsnJyWhtHqSiHW0HXkYipAd+CfSS6OiAVwJ0MHchlBQFZ91+HpcjAuhoyXGJqOh6aGwUcRAoLRQKEbeD00nq0qw8SB+nFcVp6gTF6fdOGxzmkH8Xmhn6FXxamtbXGo1Gl308fb9x4SSxISzYeehgU79xzUO6blNF6ZT0cxct09suW6mRoenvQTNDV2UPUiwWIzt6gt1wMOaTJ8dy7wZJWERDdsDvSSZBS8dVCq2717yE93rirYMq8nK5HCVqkGDA9aGdz1VDzOfzURLFoLGVQR0w47DQ1crHS/XzQuHgwYNzrvR/pCIJjCc4LrCYAuZcAu4s6KGAMlvmEkHmsDoEYcvhBGauQXG3vvFqDM/oQ6Ss1WpRlh7BRklRBh4/z2Qyuuz0lTp7LKdGq61P3j4e+90IctVqNSJrLKRUqUD2woAji3omm9MN91f0xqs2661f3KFvPVBWStKTTl6iP33WWr3/ylV62pkrNJRORUJso9GIBFcIaEgCIYd8JiQgZAoiSiM2Eyjn7wF2TAieBG97BVK5h8wbgryAY4e9eZw0+TiRyUv2L98L0XHrQv8e7tHIyEiUZTkyMtLV14Vs2lXFYf3FC0/Wyx81Kkm65q6yfu0z92t3PR39Df+GpDPHLz55uf75ZRv1+BOmMyYPNqb0K5++P6oW/7VLVsaOk2+sEP4J7PsmxW34M5mMlErpL765Ww8dmNSq4pB+92nr1J6a+VxTSYXICOH0/puQW8+KnQ3MLUg25z4belWLe+AAgR4w7we10xwUgwRTEnSjWq1q69atSf/MBAkegVhMAXPQdwLiWZzV2WzH8D7ecL+JiYkZnNE5RDqdnlXgDL+XBE6vfg0DfO5cRLAR/ggvxCKShM1BAuSIXgBxiyA2a2Gc+ITbDPzIbSvhoY1GI+IB3IuRkRGVy+VorYUXxvVlJ/HUe52nUqmuJFBEUUnRdXPOft6IeB789+B0CK+YomIGjgmv8dY93HMfE65D6gh1ExMTkaiKmIlIHXcu39k8ru9sqWooJb3h0jVaM9LWP7/yVBUOJUd+6Lt79M837uo6byrI2a/AJT3ptFAoqFgsRiLep++c3q885dRRnTS2pGcQ1/k/LXm4R8wZggReUeUVXQjEXhUkdSdSf+nesj53z/Qe5Xefvl7Lsu1o3LgOD+wj5A8SGIdXO88jMDAbPBk6PJ5/xoG1fK9kg/nC2zolGAzbt2/XgQMHjvZpJEiQYI7o5Wa3UBg0MJ7L5VSpVGJ1iNnWEAo33PI7rqrU11mSz+aSBJXP56NKV+9h7dXIYRFLvV7vqlz3QKykiC/0AxoNnEZSlDiJW5Hreg5P2ONYkqJkOK6pUql09TLP5/NR65lMJhNVyqO9OXK5XHR9w8PDXbwSdyAC1fAKeGWlUlGpVOqyBMfpkjU/m82qVCrFJjGgG3LfXSeWFAXZnf8zFnHuTpKifusUuqDnoUM7H/rqfQf1G599SJv31bU8P6Q/ec5G/czF61QqFiPHURyx/PtIcCB5FmegkEvDr6mUhneyLyI5NHzOwjhBVNl+qAgLLu/PCG2MXMvjmYEb1uv1aJ74mPnc51j+3HpwXFLEp2cD+wKSB0hEGQRxn4ObS4p4vGNkZCTi0PNtxRDCHWcTDIapqSndf//9x8W4JYHxBMcFFlPAHPRlDYEj2y8UlmYjmxCuYrHYM5BOdXWxWOyyM+8HFzEQ0cgK9epi/zyCnl87QWbEGM6HQOnPPm6VJOl/74qvGnewWLPgQ5hDQQrUmm1dfecB/fR/3qP3Xb9bd+yqKZOWnn/2Mn3oBev1jqet1Xlru0VUqk0Yex8nKqcBhIUkAT+OC8T5fD4KtiLsUnnearVULBYjIgUphaTR24bsWgcVzt5nhjHwCiEC9z6OoRDpFVBO4J2AcVwP7kvq6mMeZnpCoKmoGhkZUao9pZ+7aLne86wNGs2ldc+eut7wqc360t37o7Fj/CDrJGPkh9P6g6eM6befuFLDtlKlJJ29avqaPYnBk0A4L+95QwYv8Aqgq+6s6tsPTiiTTuntl69SYagzF9z5wOejHwfR0J9h7mO/jagHxEPC4USw1zHCanGvjqfKiPcGGdtsALj/C2XnPZtzRYJ47N+/X7t37z7ap5EgQYI5YDHb80iDZ7R7tUH4Lp9tE0ulAMHqXtU6rGXFYrFvT2UQrgOeNEWgzgOK3rrGnVbckjHklfwtQs1s8LEgMc7tBAnCs4Z7JTg2h1hwwpfgAyRuetsVriG05Ha4XSMJp4xfyMvhAgRJ4VrpdFqlUkmZTCYSs701EOJbXBIB98Srt71PJf8fzvW4JDjuiVuOkyzg4wSnjOZcs6WP3LhXkvS8s5bopBXTSZdrSln944s3aFl+esz++cbd+vvv7o32GQirzCfGjAA/Y4R4uv1AXV+9b9px6IVnFqIKuNk4C1we3uy9sSV1VdDByd1pikoyrh88VJH+7rvT1/3qC5bq4o2l6P7Qf50qfa+YyufzfTmlPythAi2cj7/v9Y6J6xsvdex1uf/sd0hohX8vpEXlYjm9Het48MEHk0TVBAkeYVhsG/VB3qfeVxyuFv6+H9CHvF9yHNAr0PV6JfDFAW2FwCjFHFTGSp0ENRIzATbKXoziiaG0YpxLdT3Bd86FsXarbq5Z6hTbOOfj93wGLiYpqraGU7HWkojpqNVqka25c2MSJwFrN9cNr2EcqaCWplsYTUxMRG0ky+VyVPEcgmp21zHRFKMipiAoLnWSAxzwPf85XNxt/odzeX3k5gP64+u2aaLZ1oXrCvrQi0/U2SuGulwiqcrnOeBYngRKMiJjzP6EwDncknFzF1gCxiGvhINzX71/OPfME2JcqyRYT3A7dN3iHnPfcMPy4/N7kio8EYXCpH6Bcb6XfveORqMRzYNezzsJpg5cHNwdi6Ig5i7vkvBaDgf+fkswOCYnJ3X//fcf8y6XSWA8wXGBxSSbvjD1QhiwJCAZfqYfWPTouRi3iCFiUdE6F3JHPyGOD+GkjwkBUmwvK5VKlOnmlpEuFGHhU6vVdN7KtM5cmVW91db/3N4/m90XrUKhoHK5HCUWEMSuVqs60GjrX36wT6/8t7v14e/t0/ZyU6O5tF5z4XJ97KUb9abL1ur0NUuiyhjEO+8BAxHynpIQIILD3DvGw0mV33sXd8P7gkgZZuZhlQRpchtUPw7VS4yJpKiCBSEQoRSQHekgaaJQKKhUKkWJBpAkJ12ImpA2Ei1yuVxEYiHs/j0efJekS09eqn94+am6YO2IJpptvfer2/WBr29TOpOL5p1Xkvk1PPXUkq442ezbJf3iVQ/p83cfjK4xnDNx5Cx8Frint+yc1Ee/t1OS9PqLl+v8DUsjZwJJkaWRW1x5lqRXUXm1EgJ23HNN5mlcQNzBRgg7qnCD6ptWKtiYIyS10JMU4h7Oh8RO/ehjx44dGh+Pd9JIkCDBww+sC4uFQZKMwn6N3p9O6rRh6QdEiUqlEitywQUnJyejxL259BtD/CDI59dFlYrbB1YqlWjjPTIyEvWEhPshlkjqEqJmc1gJ12HWSq6dsYA7kMBKwp3zOrhkOp2O+gDS5xLAGfgZiQAENr06hMArazFV0H4PWLd9/NxePUxqwBof/kDFfXiPSQCAX7RarUi4g1e6EOJ2nx5g5e/ZJzCmBLBd9CR4XavVdPVtu7VpX0OlbFo/f/HaKFmgWq1qSW5I//aTp2l1cXpcPnvXQb37yw9FPR+l6TlSPFQNRCUY84oxy+Vy+vTt01bt563O6YyV3Zw9BJXVJBdzHSFXIhmC54G9BJUv/D+clvdFuTGld3zxQTVabT12fV4/87jVXdX6HAt+75VeoeW/3xeE9jAg7oDbcn6IpA4cKBhfF5K9jzzPRZgoQ7LvQiBJtpwfqPCZryV+ggQJjjwWs4hn0PZuFCeAMGBNBW8/eKuROF6JBgfPoEhgEBDcY52jRQ8JjPAQEhjhE84R4TmspWiD6GkEyOeyjqGD4m4Jh/Mx8MB7WBjjCaEEoEN+QhWxcy8fPyrESfpEB4JTcr3ON0O9jGp0byUE2APAZ0js9HGCL1BdTdKtFwSFmrwnWzrPxlmzWCxGf48zJIl52w809JufuV9X3bZPkvQT543qXVeMqTTcKQghMBt+R+hwgzZHwgYOkfBKT3LkfoUchWTKEKzF3toojn+GQWbn217hzedChyNaNlHZzbxHt3Q9Gx2yV4wEtwLXn+NAQJtkmLgkbU8Q8Z7mjAX/j5YdF4BfCCQ26vPHxMSEHnrooWOalyeB8QTHPMjaWywg3PUD2W0OryqR4jMzQ0BsqcJ2MjI0NNS1cGErSKUxYhFkwkGWJQvTyMhIlG0pdQtgYcU0x+L6IC/YCPoiT6/xa+862LNqvBdBhghMTExoW3lKf/f9cf3sJ7fo47ceULkxpXWlYf3Gk9boP19zhn7y/FGNlXIzBEUWWsgclTos4iFhcWtMB9cW2l75efsYISZTaU9CgQPRlL8jgA8QsKn4JQHBK4ElRcF8CBKZn9xTbI0QvLn3CHhUkVWrVVUqlYiYesanEyvfgHhVE4ScsS+mJvWeK9fqVecvVUrStXeO61c/fb/u2n4gEtsIvvuYptNpfXnT9LzMpKcrxltt6YPf2au3f3G7qo1pAo7FJIF25jv/ZhPFtUjS/bsO6n1f266ptvSs00t61hlLonMmgxHbHayL/PdcG1mjiM9ezebBE4g1VqOzgao0KpXixFl6I7ltEhjkO5LMyYcHtmzZooceeigRMhMkeARgrj1754rZrO08GdERbvoRSHqBQBnrUljlw3rqx4dTkjAJN/CgMgIT38HfYj8odQQlEvNcGHShDCE2rCh34JLSC3EcnSojgttUUfhx4J1wH3pUYusIZ+KzVPVStesiqKSI+yEeEQhmPOLanHiVDXMCfg/HIHnA9xDet1Dq7IVC+3V4l1dew5tAqVSKxG6uEbHQE2ap0KbSh30O+xZ4ZSaTUXs4p3+7ZToh7NUXLFUu1ZzhRjXUbumjLztRJy2dvu7r7j2g3/vS9kg4c9t95oH3fqxWq9pXntD/3jWdjPuSc0cjUdhdgPw7mceMNZyaxEfGhjFHAMZxyzkbiafZbHbabSCd1l9/Z5+2HpjUmtKw3v60jZo8VD0WBiMQgJlHcAN/LwwaEHdwz6XOs+WBDuZNsVic4TrGdc2GQYMcsyERMeePZrOpe++9V3v27Dnmq3wSJDgWsJi8Ele/fiCRMfw75wJoLf3ezc5f4lrDhcl2BLiHh4ej9TasYoU7kuwvqUtzonqY36GZOLwnNYVA2LCHOh+aWL8q2Diw/kvd9tCulcL1WHvRCNF24SXcLyp2S6VSpEnCsRhjOI0HJhlbgsyenIjro6//XpxCQQ+V8IBgslcqh+vL8PBwl2smY+XOiiSWRi6RxinhWz4Obr/Oz2/eXtfrP7VZd+yqqZRN64+ftVGvf+IGlYqFiDPxtzg/cv3cC5/LcEYSTpkrWJ4zr73CnvlGsJzrQ0MMv5N9DL9jvrNvgI8zDhRrcS+4bwS6uQZvf0D703COovnyvLibk/M67PWdK84Gd0jFict5JfsjT24Gg2qVg9i9z4ZjOah7JDA+Pq777rtv0TWQo4UkMJ7gmMfBgweP6vd7xbHUsa8hY99JFxUPcaDi1Rdjr/Clctvtcci8gmzxHR7sjbN+YdFtNBrRIkx2IGIixKXdbkeCDdloCImIh9I0KbjkxJLOHMv1rBona9MXUwhNu93WTQ8e1Lu/tku/dNUWXXvHfk222jpndV5/eOUG/ctPnqEXn7dSQ+1WlOmJdUzYZ1KaJtkIawhYiH6Mt9QhfZwDYhXED0BqgScZeH/20BbHRVhsyP0Y/nuvJEIQJaEBckRgmSqier0eLWDen52+6lg6YYeDVShAzKxWq9EYubU8953vJlvSEzCicWpP6XWXrte7n75ay/Jp3be3rjf97zZ95b5OD6IQf/OtXZo69Odve+oa/e3z12nFyPRxb9lR1yv+9W79eE9TxWKxqwc85829Z+y4lnZqSO+7YY8O1Kd01qq83nT5huh62cQxN5z0M/cZN0gtY8GzwH0nSIDIONfAp88xzkfqZPw6aZ4PEGAPF96vK8H8sG/fPt11113avn17krCQIMHDGEeih2u/93JYyYGoEgp8LtDFwau1pU61rCdD+lrDukpViAcA3e0lLvkLRxvWMUQ7kkvhpXBbzp3gPMmFBM4lRcFlr/6Ju8YwaIzQODQ0pHK5HHFX523FYlGlUklSZ12nwoIKFOeVJOghoBHcd74ND2DMCapiCxl37p4gQOUNiY84+HgAnnY9AP4KXAAjeTIKRJsFKNdGdX3YZqlSqUQcn8AvIjhtboaHh6NAtc/Ber2uf/7edu2baGnj6LBecv5YxM+kTv/1ZrOp7PCwPvi8tTr3UAudm7fV9H8+t6NrT+NV22Ef7i/eU1Zlsq2No8O6eMNINGe9dRC8mb2Z1BFuJUUckj0Deyv2A/DjqI3QIeE4bMn0qR+X9c37yxpOS2+9bEylQ6fpzx3CJom5ztEYW4L0bmE/F4S80q30SXw5HOFroSzQE055eGg2m9q2bZvuvvtu7d+/PxGFEyR4mILq1MVEv30lWoKDxEcqPkE/lx4cGv1Yzr+y2WxkXc6a57oV7yj0R9bQycnJKFGLtdtdWQjYwmG8R3cmk4kq1AFJlu605040HjwOgZ5EQJrz4+8ITFI4gQMnvJJzhPfhUASHCnUiKnadq1KQAYeE/8LT0aXcsp1zJ9ET9084ogfqKXZxy21AUBbeFf4+vAY4PbyJa+IfPgsXIXkAZwC4Mp/J5Uf0D9/ert+59gEdbEzpjBVZ/dVz1+nCVUOR7sc1efUx4xEma8BrQ6cmt76fzT2Ae8hYUyQmdXqrEwyH23LdBJXhdq5bo6cyt3BHoOVOGMT341LAxf4QXX5qaipKUPX9E8VOPGtzhbcGIKlT6hSTsVecLxYiMB5X7JZgbpiYmNCmTZu0efPmY65lz8Kk9CZI8DDGkRAwewWlsLL2Xi0QOUSUOHtnhAkXcAhIe/CWbK5CoaBKpdLV1w/hhKw7hMh8Ph8Fw0ulUnRcMvb4TogwBIcKIQ/eslAjXFK17tXOiIhke/30o5fr97+0XdfedVAvPXdUy0c6Ap73W0H4bbamdN3de/WpO8q6c9ehni+SnnhSUS86q6RzVh3quTMxTcJJEPAKlhCZTKaLtBEU9utmXBgvz6RF8IRkUGnk2XyAKiOsNhGyCFLz3VSVkPEXCoScJ2QUYt1sTgeFvUc4VcROUhBRyc7k9wi9JFJA9rlekgHYUHHeLjZDKhFk2fTE2YKlUildtL6gDz5vvf70G7t1y/aa/vybe3TLjppef/EK5Ye7hbDP3TMdNF+STesppy3XxMSEPvaSDfrgd/boS/dWNNFs601X369nnl7Ur16yUmmb71RSI9iTZCFJ7/vKFt21u6bRXFq/86SVyg6n1Wx0hO9eJJg5xX0M+yKxYeS+QTBnc4OYK7inCyFAes/WwzmfOGeMBHNDu93W7t27tXz58gWrukqQIMHCYWpqKnJeWUz0C2a32+0oaEslCIFLHGK8KgJnGDgeFQlwPxcISdpDNPNAodSxCpycnIyqY9wqHCBQFYvFruplRBi3qiTRjOvDCtL5MUl7CD9wtrie147Qsk/qtL3BMtsrh+KEG3gOlRBxiHNzcdcZr8CFs8NVSZRFcHSOFmfN6NbcVIE0m83oGjhn+AH3xlv1tNvtSBx1+2/uv1f8s74jqHKv4IyTk5MqFovRPGM+uADFd0xMTGhXdUpX/Xh6b/bLl6zWcDql9HCnlzXCMvNwyZIl+vPnZfWu63bom/eXdffehl736Yf0weeuVT6bjsYfsRnBuN6Y1KfvmP6eF509qnTgdhW2I2AeINg6EEcJWDNu7LV8rgEP2H/v/nF99Pu7JEmvv3iFzlrVeUapdiM5AO4IarWaisVitBchwXOhOQKi9OGC5/twj5XwyYXB5OSkdu/eraVLlx7tU0mQIEEMyuXyoieu9HufkpTlTn9UykqdILnUSXxCE6QoB4cieAFaJusVHIiiHvgN/00wDU5LEh4cUlLkwgKHQcssl8tRQh4FJehrcDNcYgjSoUtiuc5npG675xBe9ZrNZqP/9p7i6J6eMBmOt7edofgpvEdhMgMBd9cCy+Vy9LfePg+O73qWty8MAedHO4Nfo3txn7kvBJOpDueewGNJjgx/L3UcEd11kv+uVCrRPfXkxEwmo73Vpv78yw/o5q3T9+aF5y7T6y5eKbWaXQmjHkj2AjHnpc6zvJKde8A4E9AN+WIcSKgMWzR5oNw/22q1IicAdHp3xgoTOkh8cNcw5hj3EKB98jx6oZafKwm38LaFfg8tFK9cKD6YOBEtDHg+j6VEg0R1TXDM40gImL2y2gmUhkKbk0vIRT6f7yJJkCEPknJMBEbEOq/sCIkc/V1Y7DlXAnpefeBkFruVMDiOPUpYKUOfbgipB+wgsdVqVY/bUNCZK3O6a09d/3P7Ab32scujMeyqVG6nde2d+3TVjw9qR/lQUHYopaefWtTLHrVMJy7PR3/jxN2DkAjALr669QwBXQRhSAT2j6VSKTo+RCGXy0WLM0FxLHtIHgAEzMnEgzAi5CK0IQDTvwfixmd8nvH/iJHMGQRL7m8YYOc8QyJFtiCZh/wNGxTGcmpqqqsim7+DjCFGlsvl6D5gm0O1F6R1aGhIJ6wq6gPPL+nfbt6t/3fTbn3p3oru3jupP3j6Rp2yYnoO/eX126Jq8Tc9cWU07rlsRm++fJ2eevIB/fHXdmmi2dYX7qno5m11ve+Z67Sm2IyINkkWThw/f/dBfeGestIp6c1PHtOJY6WuRATmim8G+L1vgvyZI2GAvyHpgESYhaqgWQwsFAlORMyFwdjY2Ky9gRMkSHB0QIuRxUbcmtEviSls7wH/8DYbBNPCdQybTW99w/eEPaxdOGJ9R2zEog8+xJqPqER1OEmFzjERr4BXwbg45uPjQf44wYqAMVzb26pQgZ3P5yM7cqqdGDMqfz3oz1iQPIgrDIlyLvbB6Qi0Ijy7paX/m+vl2ATu4RGSovODbzBPEP68eofxhqsxH3wcOR+vAILXIEhzvgja3Gd+Rq92T8hkXKlsaTQa0X386E171ZySHr1uRI9dl+tKlPB76Zx9eHhYb79spf46m9YX7j6ghw5M6pc+s00feemJyh/ag/j3p1IpfXNLTTsrLS3ND+n5561SLki8RKx1zu3uAOyTSCBhztE/vp/NpPPvPRMt/ckN0+5HTz+1qGedXuqqqnOOyXW7GwB8NrTSfzg7y8RZZs4ViYC5cFi/fn0yngkSPExxJLRKtLoQoc4IfB9KYiBtcry6HW7hbWBYJ0mkIxCNHhR+H46FUsfRBz3Pq4rhP1KnEAHdCQ4JJwzb0oTXVCqVIr3Gfw/H78UrPQkSjdETAtGB0OnCtjnwZtdMcN3ze8GYuKMS3Nz3AlxH6B5DUiMJA+iF7kojdaqjub9Sp7KW+0yQG/2XsfEx6sUrXTMNi8XiXArS6bTK5XKUtAqH/eHWst739V3aU20qP5zSr12yUk85pahCLqupqeHoetnfwL3R8ZhfcDrGk/PknrkrJK5Kfn79gEuU3zOfQ74v8ypvEh56PYs+pn5vpe7AeHj/3Y6f/R/3UVK0d/NK94crvGguwdFHNpvVypUrj/ZpLCgSj6oExzTIOjwS30MPZxYb7Egc2JS44EjVdj87PF+o3JIEW5p+Fi8eCCdjjT7XXlFM1TDBb36PjYukSODqtWhjwcjC5ZlEfFer1dJPX7RCUqfX+PDwcJRtum+ipX/5wT695r8268Pf26cd5aZGc2n95PlL9a+vOElvfupGrSsNRRUlVMsg4NFDiOw4CI6LkoiM9PXxXiwQoEwmo3K53NWjXOoEiAGiK9Y3XuXEdzH2BI/J5AztpLgvkqJgusPnMveFpArGj4A1n/FeQxwDckzwm0xVNhJU3VOV5NZGiKKQrV79PsnE9HmKXRAVOfXahF5+TlF/9PQ1WjEypPv3NfQrn9qkq27ZqQMHDuizd+yXJC3JpfX4jYVofrK5e/S6Ef2/l23Qo9dNz7FdlaZ+6aot+sSt45Fgzj3lWbxrd10f+t5eSdJPXbhMl56yvCspw5NY6PtDlixWrrlcTqVSScViMfq8Ww8xNojxnqVJAszDSaAatIfQbEgC44ePfD6vVatWHe3TSJAgQQ8cqSSn4eHhaP0BcRxxZGREpVKpa92BB4WtaThGuG7TDoXEQOeu4VrlHAgxiZ8jhkqdNTGdTkdCEAFnWv5InRYyLtgi+vF38JVCodBVmez2iqFgxbrrohb8xhMOsS6k2tirquGv3i8PXgAPdoeYRqMRVX+4Pb1/v/NKT8wMXYyoZMKmm3EhEE2ipX8/XLDdbneJ2FNTU1EwPQTrNjwVVyG/diql/Zz5bsS3bDarcrnc1bsSO3F4ar1e1+276rp+c0XplPTaxyxTLpeLhDoqt3zOIY4SjP/1S5brpeeOSpL2VJv66f/arJ0HapHjEtVp5XJZ//GD6Qrt555RUqtRi37HfgtBEP7u3+v7Kk+YpKq8X1Aae3xJak619e4vb9X+2pROWZ7Vbz1lQ/R7xpb9CHMLzl2v17vEXO97Goq1C+1K9HDAw4knP5IxNjZ2TM6PBAmOFRwJXuktOFzzitP0vHpcUqRXYQ0eAm7l3+XrOkl6UjyPddtleAAJh85b4Eq0cPEkOr6P44drtCdboh9SnYzddaVSidYdEkzDY5TL5a6fe1s7ro/kSBLosF3n5/AaOJu7bGaz2SgpD90JLRN4AmC5XO7SdLnP8GfGF2efer3e1UITvQ4+RFJmrVZTqVSKEvSGhoYifY9x7OWI6FXXrlPCvxkD7rnb13M8kv+q1ao+cet+/c7nt2lPtamTlmX1ty86Sc86Z2XkpEPQlAA/95pAsD9fbt1O1TZcG82SucM1D/oPBUXZbLbLaVRSpHVL3c87966fS4HPEcaV543xxT0UXsm4dvHRQxXovieAN6MB+5x+uBVpLMT5JIH1w8fQ0JDWr19/zLU7SirGExzTWKiXn4tmcQgzCr3vty+KVAUQGAsrgt1qEHhFg1sF+vGpEAnPD3siyCLZlb7wckzPJnR7b84fm0Wqkz347OcIWHQJhLrAcenJozpz5V7dtaeuq++u6ucvymrTngl96scHdN19FU0eKhNeVxrWS84d1dNOLR6y2O4EO71HoFfOeM9sr07yIDVEkspwbG6orEeogphS5YK9kNvHkwHJGLFpIAkBkZSANRY4HrR1u3kfP6r9Q5Bx6MIs99LJJlmQZD1SBe+Zyd5LkHlJZRV/70I3ZIt56yTW5zoBZK6XsUUEdpJ/wdq8/vp56/SBb+zWzdtq+utv79F/3zZkvcXXSepUyRMcz2azyjQa+sDzT9LVt+3RB7+1S6229E8/2K/rH6jqj56+WmuWL4nGabzW0nuv36XmlPSEjSP6mYvXqnboPkAgyeIko9cr56goY1PhmcvcBwIRPi5sHNhwMDZksh5teMLDfOEbsAT9EWeXVigUtHbt2i4L5AQJEjz8sJC80rP+Q4QCCUmUHnyWOkIHQUoEMAC34P2M8AOPY91yG2qqXFjvHG7DTZDcj+9ckIA3x+Zv4bOIWu6eg3DkVQ1Uq1Dtwnm7pSc2hFTncA6IXwS9Qzjfdq7Ce5i/cWelfoFIAsW+HsItqD5JpVIRryRxD07D+MDr4ZXcF87FBQm4pVegwGH9/sFt4uziESFJ7sxms129HQH8hflLADncBzHHuJ/ValWZbFb/8P3pxMTnnLVMpyzPdlV9ATg7f+c/b7fbev0TshrNpfVPN+9XuTGln/vEZn3weet00spixCtv21XX3XsayqSl5521JPZekbzJ2NNjk/0LyaPOz+HXcYFxqrDcYeij392t23ZMqJBJ6/evWKv2ZF0aHpmxt+pVDUOisicw8N7w6iqpd+Xf0cDh9JIECRcaDIxTOHdWrlypsbGxBenNmSBBgsXDQvDK2ZxEcMkB6EXoVZwDWiXFPPAP1iC4XOhy4lzBuYe3GsHVxc+DxEO0U+ylWdfgo+4ghG7Fmot2hTsh58/x3PmH46DpuL7q10WBE/zA3Xacf8VVlfM5+ouTEOqV0gSfqY5Hg4PfxVW8e5GRt2ohkOnuoHBW9FG4NuPMdRMUdRdNdCHugSdQhEVn/dZ6d5xifnA/PXFC6ti8w21qtZoO1Jr6y2/t1re3TI/xU08u6s1XbNRIJt3lQsAcYt6RdOAFK+grXq1NQFrqtAbg3odJGYOAhFUq0jkn11Phzf6cemFUCMbCbfdJ0nTXLqnj3umtHMPWPLh/0jqKucwcZJ/Gc99rz3A0sBCB2KSIZzDEaZXpdFrr16/X6OjoMRcUl5LAeIJjHCxIYa+4ucAD1VSselAyDmT7E2Dm7528IRb5xt+zKhHSetlDciz+DkELQLiA9+RBQGXBg1y4kIcVNuPndjMsqJAnstQIxLvoyndL3RY0r7lwmd7xlR361K17dffOqm7e3jnXs8ayetm5S3XJxhENpbuFEQgCBC7s0TMxMdFlAcm9cvtJr5qnUiPsZYno6vY23DuvVsJ23q1wJEUirYt9EHbsktwG3oPlBKXj5i2VXWEQkk1ASOidzGB37yAgzO/pycPvEAaZK+E8CS1YAckGYQV7L6FrWX5I73zaan3itgP61x/u17aD099RHE7pkhOXdPV8dPsmggDPOLWgx6zbqLd/cYcePDCpe/c29LP/85B++0kr9cQTi2pNtfWnN+zWrkpL65cM63eeui4KikuKNiAI3h4U98CBbwhCEuv3kr91K1ZEb0ld/euPFsi4dgv++WIh+pQfD0ilUjrnnHPUarW0Z88e7do1XdG2YsWKpKInQYJHALwqZr5wXgiPkHq7d1CNy7ruwVKS/lirvA2Ii4UE+NyW0uHvHyofqKbwz/h73oOj3vPOhVB3DeL/EadIyoS/whvhSiQz4jjj3w/P9OqSer0+gzNzLLf+dJA8yXHhaCGvJGCOEEUyAsmRHjhnDPx3XqHMOcKZfawQtbxyivEL7T1ZwxF4fdz5GwDnjbNKZE/hrXGkjtjtiQ6hLSR7BeCCrNTdcugr9x7U3XsaKmTS+rnHrFQmk4rtoe7JCC7OkGCRyWT0qgtXaqyU159dv121Zlu/cvVWffBFJ2njdL6Brrp9urf4004taVk+3h7SbfzDoLZfI9wTgbsXQkv0L9+9T/9z6z5J0lufuk4njxWjpF2ORVBcmhkccY7Is49Yi0gfPrdHOzjufUXDAMhckQiYg2F0dFQbN25UvV7Xtm3bonfXmjVrjknxMkGCYw35fF4HDx6c99+HQXEKCBqNRs+k9ZGREZXL5a5Ka9ZXbzcT6kYeZMahxgPr4XfAfVjv4j7nvKJUKnWtbfBEzqNSqUS8gOpx+BbckmRBNEoS8NxJEY3Gbbb9eyksoi96iH58wItnqLbHAYYEPILUBKHREN3h03kJVdtSx5HSXZuwdafwqlgsdlUCe5DcE2UBY+C26fwN1+nFMp6EEKe1M46e0Mk4ktBLgNzvP1zn7t01vffru7S93FQmndIbn7hGLzhnWXQ+3m871LhD7sAcdVdRd03F3ZF75383KDimB5rR8sOxcR4+G2drNBozbPexz3d9nv0T5+yV8Q5vJUriS2jj7q252AcczdY9zOvD5YQ8hwlmx8aNG6MEpa1bt0btqpYtW3a0T23RkATGExzzWLJkifbs2TOvvw17pEFyPGAcwqtGpY6ljtQR8hAA6S/ufycpCj4PDw/PCDgCFnGEHey8yW4MN8OeYSl1FkavCAoz46h6jetdDmFE7GQhdntMKmEISrP4tpVStdFUbiilequtm7fXlJL0hBMKesk5S/SYE5f1FIj5XhZo/1yYCOCLHySfzE+yN4eGhiJyxnm7JZKPLxsPD5xD8uMqqxCWsd1kvhC0hwD7hsJJJ+MZCtFxvagImGObGW5SQoHbq+iZ41wr1+b9zrlOr9Si4pl5Q8bm0NBQdI4kDiBoYi8Uh3QqpZ84b6lu31nT97cespSfauuaO/brWaeXonHpZTe0YmRIH335yfrId3fqv28dV6PV1nu+vltPPrmmNYWUfrC9ptxQSm9/yirlh6Rwr0gWJgkgbj8vdXqaYiPFzyGW2NL7O6Pd7vQGZZPq9+xIg80lSR/M2cNJHpISAXNQQO6Hh4e1Zs0arVy5sqfFbYIECR5+yOfzhyUShGs6yWWh9WE/eOARIc8trDmu2zh6f8Feaw/rPcJdWPUcVhuxvjEW8FvnQ2EynDuohIINwftUKhXxVXgw4iSiHYH4sCrJzw+uQNJfnMgFN+W+hAlrXo1Jf8Xw77l2T7r0+4LYTIUOwWOqiXj/u+0oVuohXCwlyMr183dwMe/LyRyA7zpf9UQAh7ePiUtsZB6RSMh3e0AfUbfZTusj35tOBHvFo0a1bGQouh54FdVFiMWI2/BztzvPZrN66klNZVNjeu/1uzU5Jb3xqvv1R09frRWFYX3nwenvf/E5ozOuK+6a3f7e4TyPZAg+309g2zI+qb/+1vTe81UXrtRj1nTaD0jq2sO4wCx1kmW8qjx0+vLWCY6jUWXNfoL7txDuQel0+qgmjj6SQGJLPp/XySefHCUwJ0HxBAkeGSiVSlGi9FyB7uL7eILaYetE4DoXupNXbMPF4LqsWx5Edvc/dweSOoUQ8B93QPQ1Cv0EeI9v+BIaoh/fe1cT2ORzceu4V/Lyvei49GimSKZWq0XfEybCYocNZ+yX+MW4eNBV6jhCYgEe8n60wzi3T09kkLp7v3N+nuBI0iLfQaAzhPNDD5y7g5Rr13wXnJlAK/cEfusclnnlbXri1qlms6nP3XVAf/OtnZqcktaUhvXOKzfq1OWZrgpoNFy4LvyXe5jJZKJz8wIe3D/Rf5kDFLLgJorWOSif8T2HpBl6YBwYT+aeu5AC53scFzt/Enb5HAjdafk7qsjRs+O01PD7QtfXIwUSHLyl0OHC22Al6A8cKEZHR6N2bce6i1OixCY45lEqleYcGCeY2WtBg3QgAkFMvFoA8oR4xWfdgtoD73HiBtl/iGa8kKgop2ocYgq59d54brXnizS9ZlwYwvrFbb5dvIQEEjDnWuNsVjgH+kNOD0pOV9+6S1fdcVA7yp1FN52S3nflGj1qTadPey+BGOGF8fQFDuKPfaOfl1fos4FA4GIsvfcz/00mJ0Fk5oVn5IVV1A4qixCOGo1GRECr1Wp0LZC4OJtUH+uwSonvIHMSEdHnmqSoJzv3kazCXC4XjRPJFS6u+3cVi8UocBzaHUG22QxxTHo2cSy/X3FZkq1WSzcdCooPp6XmlPTn12/XTQ+W9FuXr1Mu3Y4NSLiw+NqLV+npZyzTW659UOP1lm7Y3Ekk+PVLV+rkZdmuKi5JUcaq28KzIQt7hGJh5dmmCFOhkOcJNL4xLRQKqlQqAxHnhUScsL8QSATMwRBm3nu1aIIECR7+SKVSKpVK2r9//5z+jiSxXpXLzqcILIfWjmElLnxJUiTySB1rxfC9jICEYOrwJE5+x9pEVQpipNtnh7wyTCh1K3NJXUFx1m0+I3UnCpB06dyXBL2Qc8KNPPhMkirj1GvsvSVQeFxP+nRRIBSLGGss4uFDBLEJ/oaJUASVuTa4VVyyJXCe7wIXfAW+ihjI/eAc3bqe4znXQVhkPLg3vUQRuDHf4T1M2af85427tKfa0tpSRj/5mDVqNDp8lPtC9Q/3zvccJJWRjIlL0hVnrNCSXFq/96WdarWlt39ppy5al1db0sUbRnTC0pk20ox1sViMBNY4HkZSKOIcNp3cw16VPhOTU3rv13dpotnW+Wty+vnHrpTand6NBJEBwixCbHh+4bm5AMo9ZA9D+6ojWd0zm4vafBC+RxL0hu/5PUElQYIEjwyg1c01yRxtqde7kmQyOB16DWs53ANux+/geThl8n6Pq5L21oMOEix5P2GjDvL5fJeNNtfhltsEJkMu6wFggsju8OgVwvCLsC2KV2AzVpwX+hrX5g6grNF8tleLHvhC2MKQcee+eCKo93nGSZLv8naOAL5JNaekyMHJExo86bAX4HzoeZ58566UYQCY66foiEIa+BscheA6lf5Ub/t8qjWn9Bff2qYv3zs9Xo/fMKK3XrFepWy6q7gEnugtMxl3dE2/h4wdgWS+0zkc10wAeS4Bbq6PNgBe+BYCzR57fuc6uVwuKpgCYSIziRPh8xZyMLg4iaY+Z+NcEBhb/34cso5GIU/Y+mEhMBcHgOMdziv9PX4sI1FjExzzgCjMBYhMs1Xv+EvbK0wldVmneF9CCEPYB4gFnwXMRT5IoouFVLe6TTmZeBAXvg9x0Be6XqJpSGA4NhUwjKkLjIg6EOOwr+G+iZY+e+cBXXt3WQfr0wv5aC6tF527XN/YfFD37Wvo2w9O6Px1xa7qdSfgbkXJuIf2jZwz1eIIlwiEBH0RmwHEF0EJUgDhJaOV4Cc2Txxvtgw0t6aSOpsB7hkbj14VKNxviLb3L2RsqELlvlKNjoAIqfHNApVk4b1HNPc5TKDdN1eQOeYz10e7gbjKOBBmJIIPfmevoHrvunK97ttT18du3KOvbirr7j2b9b4r12j5yFBUIc/3sqHj/DeWUvr3V56k3//iVt20rTPPN+2f1LMOPWOQf54lwPF4RvP5fPRscr/cOorqr1wuFx2LjF4SY6TuqmwyiJlXR8raZ7FI4WwWo48UIL7zvPAMMN8k9bWmG+T4CRIkeGSjWCzOKTDOO36QJBhfC1x8CoPqrL8IQlSV1Ov1qHoDLuMV5QiKbpfNGgd343fDw8PR76hq8L6GUifwTWVGGDz1JFPnwm5jzXrpa6Sfg6Sewcvw8wi8uN44zwmrp+APvM+97Y7UaYvi94FrwJKSe0sQlQAq30Ggn8RVD97zD+fKPfJExl5w5yJ4N8FV7k8vbgonRiSGV8JjpE4vPxcc4UMk7nq1vCdlhGO1u9rUf986Lkl63SWr1WzUoqSwSqWiUqkU3XtP3uP4cCmsW11krtfrOn/NiP7q+Rv0pmse0uSUIs73kphqcfh8eI7cb76L5AKvGELI5L5ms1kVi8UuTj0yMqI/+8YWPTA+qRUjQ3rLk1ep1ZyM9keMK3OLeY8lpicpjIyMROPke0gfd++Viejs3PiRioWoOn+4gGeIhAeCFN4y4nCSAMKEywQJEjyykEqlVCwW52Sn7nyqH8L3i2t4zm3gA2hnnqDm7Xlc60MLwdIceK9rb/VIS76w7QxFJM5ZMplMxHt7BaDRz+r1epSQ6FplWDxDsB9O5n3D49BsNqNqSeeR1Wo1lkNI3QU4kqLgrVehw6W8TU2tVuvSH5xXonn6PSHALHU0Ndr0cRycMsMx7wf0bOes3HvOIc650ivk+X8SD+Hxzi+9ndLIyIg27anq3V/Zrvv3Tyqdkn7uMSv0qkePqVGvq9FQpLdJHf2dcUWvw4beA87cC8Yi5HOe1Mn9c6dHkjV6JRsODQ11BZMphqtUKl1j5tXxfixfv71tAPs1XKLcaYp9Gd9PMhy/kzout8xXdzrw3uTec57rD++pu2odKSyG482xUvHMnpnEaN4FWOoz3+arLTPfjjckgfEExzzm81Jwqz4nk6G1soPPhpU2LqRQeeEEBcHSCdDU1FRXhiHnw+IWl71GxbGLUxBNhEyvLHAy5pXE5XI5IhGce7gQhtePmMaLOZPJaGRkRPfvq+u/btmjL99zQJOH/mTdkmG99NyluuKUgvLDaZ26NK13fnWXrr3roF567mjUCxCB1TM/GTPEILeBQggia5RjuD0NRB4h1++zZ8q1Wq0oaxPC4sehQhjyQ5V2v7nGPfaKJILhiIyIYJyDH4855L1eelnLhPY6DvoOQRoZB+YKx/aMWIL6jHGlUumq3iEY7PcKUhhX7cbfIcQi3rVaLX35vunPLs0P6YJVGV2wKqOzVmb0Jzfs0salWa0oZjRyKEDNuCFgetBhZGRE5dqkdlcP2UFJakv6xK3j+ub9Fb33yjU6YWy0y76S54drJQDKxgPR3CvLfSPgAQwC4n4PnJClUqmueXqkKnySwHh/9Aq+uF0wfZnms0FIBMwECR75mO9mE+HL38ODvPtZWwHtPKTuak3sJhE6vNqE9RdBlPWIqpQ4Xgm/cdtn565ewUtSore78YRAr8rm3IAntgESGAkE0sLIW9ggHsE7QkeaOBt3glHuPoRgBQ+SFLnwuKW1NM0DqHwicdVt1LluT6SCT1IV5dzLg/POCeHhvQKEnvTo3IzAPv/w3RyPe4mdZ7PZnGFJGgeqXHxMfV54iyCfc5L0rz88oHqrrXNX5XT5KZ3eiNlsNjoHxslb5vg5cs6+F2DvMTQ0pHNG2vqHl52sX/zkZjUP7Tfu2FXTBWs7FVJxbXiYR7QhgnsjrjqvdAcH9lEI1Bz3U7fu1Vc3VTSUkt562Zg2rFwSOR+wBwj3lV41h8Adttfy7/NEVwf7m1CgfiQC/nwstOnBPSLu5773DB3DBkWScJkgwSMb/dbe2RD3juzFKwmsEczzhDR3HmT9gR96QiS8RZrmBXApKmYJPsJHHayBYaEASUP+nvTWge4kSTKapCiZ04tmfFzC965XxKNfkZDmOpL3+fZziGuj6byWBFh34PTKdoqfstnsjAIjTxCgqAu+A0+DJ3pRDZyLIC/X57/newfRLsrlcjSunijKeDB34CGebIoWDbf2qv84wF2/dt9B/enXtmqi2dayfFq/c9kqPfaEUQ0d4sskauBYyXzxamufs/BjOCJc2d2NqtVqVOiE64AXm5H86n3MQ5CIG7ZQJKGAe4EGzTn49Vcqla49E/OpWq1GhRmuGQIKrNDFua/ufoVWy5zxZAwC5CS3xL0z/Fx7xR8WC4sRxD5WEi55L8fB1xH2G3PVfo9XrTIJjCc45lGpVOZckRn3MqYK1vt1OHjZUjnAAuOLGSIeQiYLJkFlFmcWfxY8stz43jgSzIIL4fQAsVd+N5vN2L7cqVRK5XI5qshwKx2uBaGK8XHLeQKxU1NTumnLAf3Pjw/q2w90MgrPWZ3XKy9cqUtPKCqdUkRkLzt9hc689aDu2l3T/9x+QL/wmOXR33jlidRZ7CGQHoj0/46zHicQDFlEfCIj0gkrY+lkm/sBKYUwcl4QjzhRw3tXQmBczCZ4iuWVi2HcR0RE5mA/IT20xJcUCaTMFapUqC7xLEYC5xB8BN52uz0jc5eNkCdQIL4zhlw/89bnr7sL/NW394ql+/euWBdtNB5z4oj+70uXTJPg7FCUvcl5cTwSFAiU/8UNO6Oqnfc9Y7X+7Jt7dNeehrYebOoXPvWQfvPJLV1x0vTiz9xmvJkTzBXG3YP6bKAglYwDNqQeCCCAzz0IRdWF6p8zG44FkfFwwSbLN/dgEFGSd3Wv3m39kAiYCRI88uFVGIMgtI/0yhO3aHT4xtcD0SEHZW3HbpJqH28nw1ruwh+f9V7QIRBECdp4IhlroFtYMjY+TghE6XQ6qlTyTTfCJMFteI4nIYYBbRJMWXe9QtaT1uLetx6MAoidLrJ5v2+un7/zayAYCY9qt9tdDk2+zrTbbZXL5a6KLYQrd6WZmpqK+Ey/wDifQeCLq84nIAtI6vQqJJIp+gnzJHX4+DDeHlznmYAz3bOnri/dO10F90uPW9FVVU8SANVm4bkD35PAqzxJAsF27ZK8Cpm0Dhxypvp/PxxXpdnW65+wNvqsV9Tzb1r+kAArdfZ0zHHuq1+7H0eS7t0/pb//zk5J0msfu0KPO3lFtHdwwF0RK0nAJJnU3yt8lvvMZ3lnsGdjzuBwcCSt1Bcr4fKRUvFOFWWvlgODJFGSdDLXpEucwhIkSPDIBRyN5LK5/i0IHW5C+O/gSGH1MvoYSWkErL3nNTwFbZS/c5tqfhZyGC/cCAt3vPAg1P+4PgKJ7OVda0H/DL+fNZECHhIeKUiCV8InCVL6uMFRGDOHn6sndXrRkCeQUkCEhsD6zXkQlCXQzXkR6MaqGz7nlb1okRRY0ZIldDEN4Umg3He0Qg+Ohy16wmOGrUP7YUpp/d03tunqO6c54oXrCnrbU9dq7dLp5F/WUhxW3MnHXTNxIvDWkIwHQXFs9b0wjKQH59ru3ERxWbim83nugdTNV3g+uC/sJ9ztB97mVb/Or/27eKaY81J34R2/4znlmWX/hysqz5bvmbwYzqvO4fQ4k4XP9mJjMQLjj6SKcbidF/KBQbVcEkV4bw+KJDCeIMExivHx8YhwQmZmW6x5AbGYkLGFfXSIkCBAWNw+BjLB4hMGqREzvUqbQHcYOOsllCFUug2gpCig69bYIfgsfRixDmIRhbARMPUAYS6XU3Wipht3tPRft+zRHbsOBdslPeGEgn7yolU69ZCj4WSjHh2TMX3VeUv0rq/WdM2d3VXjcSB7j4A9xIiAI+fENXPu2MHTe6ZSqXSRRYRlt4eCzHhVEkSDyhZIAr+Lsy90ggPBCkU/qdMrimptPkdVv1vzEKyFbHmmLWIbZBFiG/ah4jicNxsEqVMBxO+452wOXDT2yn7moW92CCJ6FTwk1UXI6zZNj8ny/JDOWdnds5DtSTrd6cPu2b7hc331XRVdd9+BqGpn/dKs/v5lp+nfb9yuj960T6229IHrt+sLd+X0J887Odq4sInx594TUwqFQuTywCaWjFqyiX18GA+3VmeeSZ3+okcqYD3oZmWueKQE3BfSCooEjbCisB+OV7KZIMGxgkajofHxaVtob0vT7x3ov4PnuTVj3GbdeyhKnWx9t6dExJiamlKxWIzWKe+LyOYam0UC3bjYzAbEENYuSV1B9zjOE4KKIngavIq/553s7UUYA6ocSDjza+fv4EckB4Q27P3gwWF3GULU9CRC78tOwNNtDeGSiG3wE4K/w8PDEa8qlUqREAbHxPXIrytuzUKwxVYT3uL8zvkM1SPOZeEtVC4xVswx57zwOcaZ86QSwYVZdxuamprSP948/aw8/bQlOnMsNyNBkOvwcYMzcZ1eUe4JwlwH4/P5u/bpQH1KKwtDak+1tbc2pU/edkDjtZZ+56kbeq7TzDfvyYiQFFZf+L3wPvPjtZbefd12NaekJ59Y0MvOXxHt3QggSJ1qIngDCZlUOfHMu+jLvXFxC4cC+GRc+6kjgbgEw4U67iMhMM4cWIh2SOxfaaswSHVTwikTJHjk4+DBg10Jk3OpIEcLoWDDiy6ce8KhQKvVitYRikMAnxsZGYmSNL19i3MC1uE4l8JegXG35/biIW+l0utaJUVBarcl5+fuDsk1uNMMGiSajGunrutxPaHGO0giEsf0CmSAHkTQiuAk7j8EyTnfYrHY1SYTTpDL5VQul7vckYrFYnQdjINbeHNucYmQBE9J2OW+M4fg7OjS8D23+wbuPOBuSp5QuL+R1juveUA/3jl9Hj954Qr93GPH1J5qRa162DfA99At4ZDsiyh0gucSFPe+8CQ/cg8rlUo078M9SL+kYd8HxCXaSt0uisw55pi3IWJc/V6gTQPuJ/qdu1K6ns5YsCdgX8PPeB8w10jIIOmS5DzeP+wfmZOztZddSLD3W2g8UuzBSZpZiARX5tJc9M/jtYgnCYwnOKbhVSxuB+k2h5K6BCDP6pM6ATyCf3FgQSabze0sseTjMxzLq084J+8fLXUC4N6PGEEyfFl6gIZMNsQwsudm20BDBBCoXPhiLNzmsFaraWKypc/etUdX3T6u7eXpc8oOpfT000p62aOW6bTVS6LFzcmFE4GLN4zo9BVZ3bO3MaNqPIRXcfs9dXgwH8IJoaIq263qAUkLJCVInSxQJ6gEM32e8H1OzkG5XI6Ihlfye+W4V05zbAgelTqVSqVrHvQKcDIm2E15JY8HdSFbkD/GFQsngHgHgYc8eaUR9k+ZTGZGD3ruW9hHB+siSfrr745H1eJvfvLK2OuKs6D0/2c8v3f/Pv3D93ZLkt5w6Ro97uQVUWLIi88Z1ZNPXqK3fH6rdpab+tGOul76/+7SO5+xTo87cWk0TyDLzFGsviC4XvHjtqGcD/ePd0A4Vz2xApcDxq+X7eJ8QPIICR2LERQ/ktZKhwN3llgohLZzIUheoZIrqexJkOCRjYMHD3YlhoFQGIRTEhzzaiCERILcoQDgVcgEIt3Bh3WKqggS0DxBDUEkDICTJOfvLQKoIRCcWq1WlCyJaOYVPP0QOuaEbj9hdZGkaO1k/eVvCPZznazDiKEuZkmD2+b5OfTqY0llDkkF3DupU1kf14qDdd4TERkPgsgu9PWy6eSzrOUIhswfF/bckQbBy3uFux24Vx+H7aMAAin7DERyjkdFAgHuWq2mRqOh72yt60fbJ5QbSum1F4+p3Z6K9lmIrNh94liFkwHjzJwPeUZY5d5ut/XJH+2TJL38/JV6/pklvf7TW/TQgUl96d6Kxmtb9I4rVnddV9gbkp/5Wu5BCq845xwajYZaU2392Tf3anelqROWZvWWp27Q8PBQxBtxIsA5ITx/t9V3QZUEGp5RnnWSNfy8fd6E1X2D9KyfC+DaJLsuNK9KpVJd7gcPV/AuXujqfOZNLxcH378drwJmggTHEvz97FWjXiEqddokEjwFnkAFBwjfHXAw56pwk9ACm2OgYQKqr8N3c6PRiKpr0ad67YvdRc91Uy+emM2RCf2IxDPXT+GoUqcyVtIM/sl3oJGQnOYJe6FWOxd4ZXncONDCpVKpdNmOu9bqzj8OOBN6MjwTbZM+8O5s6CDRkKpwNEZ0PrRCd9T0nulwa1roMGYkwcJr4Xjh99+4dUJ/9o3dOlifUimb1psvW63HrstpstHRR7lHFPn4fgA+6mNN4Nv3XGEbTpJD4Bghf5mYmJihD3ufdOfCveant//xY3g/ePY+HNudjPw5cAdO+DcJA16wx/zw6y0Wi13JHSRRuhZGkgNxhbB9qjuX8V7wBIeFqiDnfnhyykLzqsUqDFpoLJamyjMQ1+KCYk747PGacJkExhMc08hms5Fw5C/6sA9NCBZ8KjDiLLIJnkF8yLyEQDSbzWhh9d7fiGGNRiMKsjoZCjNFORdEEwhc2OeGBdIFL3pW+2LsldQEjSG/XnVMMB/7ShZprFYe3H1An7t3Qp/58T4dPCsG/Y8AAQAASURBVGRbOJpL68WPWq4XnrtceXUqqf0Fz0afDEcI96svWKp3fXWXrrnzoF527qiW9qkan62fsYuUkCB6GVIhjl2R91Z0os3YlEqlrkXE50RckMs3Ii5q8DdcO8Fm+hVLnZ6RbF5CkV3qJGEMsrh7ZTKALEI+ELfYVGE1BRmDTPnmzPuTh1VvVLWH8N7ukJ9araZyuaxcLqevHLLaXJZP64K1IzP+3jM6/Vr8Hk5OTmpPtaX3fX2XptrSU08u6lmndAdDC4WCVqUm9I8vWq+///4+XXPnQU0023rvV7frP1410mURFY6/b94QT70Szy2KqNLzrOuwWt8zXjm3hRYYvapuocGm/eEuXkqLl30KyPzGGst7vLZaLS1btkylUukRZeOUIEGCmVi2bJn2798/w4GnX3UPPEtSl8gQ/o33mUNgcityAqL+WRc+sGKWOnaAVKG4YIUIGrbGCeGVCgQuqaT2BELnAwRI/Vr9+FQ1EOAlSWBoaCiyfYRvsVknAYDxcmFO6ghlBGipfBlUtPFAbRwQoklI4N4hElcqlShI6pzEq+wRtKkah/vzO5JZ48SgkMO4xSGV8twbhDG4G3zZq8s5nldfSTOD8oDfh3xe6lhKsvbBCyoTdX3kUILiS88d1drRfFTRD5+jEgih0p0EPJE5THgAjHUmk9FN2+p6YHxSI5mUnnHKiIbT0sdefrLeeNX9untvQ997aEJv/vw2vf/KNdFcjOvT5zwBMZj9Q9z1j4yM6F9+sF83b60qP5zSO5+5UUtGOgmOCPZu9xp+l/NK+HWY0IxoxfHCSif+H/7hfHuhK68XMsgeIs794OEK3McWA8wJb/HFno5nY+XKlVq2bNmifH+CBAmOHJYtW6ZardZV0DPbe9CDF76mh7zHg66SugKMYcCOZG+SKuGJ/l2hjuPOLW61Lc3UPkjqIkjlDpVu4Q6P9MIiNBgvIoHredtE3pVetAEfgsvAPQiixiXOowlSyME1DrqezrZOetKBOxbBBfkueDztYMJWLnBegtqA+xwWu0gz5xZBZuYJvAcNOGyrBL+g+CYsiGHOhHuc1lRb//GjcX38R9PFMKevyOqdzzxBS4dnBurc7cpdX/k988znA8li7gTAsfx+hAFe4AUu7EsIFnONswUu4/aCrluzHyN5AE3aUSwWuxKQGXdvY8n1eGtPh7t4cj1hFTL7Qm8j4Ml+OGW5sxecZCGt1RdbS5xvr+2jgcWsaselzfcKvDNxgRgbG+tyRTiekATGExzTSKVSWrp0qTZv3jynoFNIZsJALBl6TiQA4pnDF0MEOKmz8Y2z4mXR5lyolnHhCzIX2utJihY2CBQLmBPgsJomm81GWWyh8Amh3FZp6+M/3KEv33NAk4f0o3WlYb3svGV6zjkrNNRuaWgorampTCTOOCC6fo5DQ0O6POg1/vN9qsap+u61wCG4ugAFqSN4xbgjBHqvdY4hqasyx3/PveeexBGsMBAX2uoAgtHN5nR/77B/dzh+/bLofJ6H3x9HiuLmNQTIbZXYXBSLxa4MUe/fVKvVZlTa8DlIMtmZXqH2R195KKoWf+tlY7HXRcYoY8Dmke9oNBpqp4b0zi9t0b6Jlk5eltFvPmm1CoVOf1LGnuP91uUb9KyzqnrHFx7UHzx1dXSu3GOEXkldiSgejOAZdrg1FgjvhVuFUv0GoV/IjMbFCsSSZHI0xEuCH7xr2Sz2A5ujxeyP1C/hamhoKBEwEyQ4BkAC4759+wbO7I5bJ8J13O0ew6Q23nP+WdaJuOoE/j58H7HWTExMdAXdXXyh0ocqZA9Iu0OG1Enmk2ZWf0udDH1EG4L5cAJ+j1gKJ+M4CHoEFn2cHAT6JUVcBRFt0ISo2dw8ELCoZPDejs7HXUDycSVRwVvQAE9WRAAMg/+MZ7iPYazgZ25jThsp7jGVQXNNwuM8XLAF8LFwDl51+7i2HWxq5ciQfuL85VECLoK7z2FPCKbCi4QO5ipgrD15N51O679+OB2Ef+ZpJS0tZKPA9AeevUZ/eN0u3bStph/vauhXr9mmv37eOg0f2ot4X8ZqtRolhiIQh/sYhGuu4ev37tO//WCPJOnXLlmpk5Zlu7iAt80Jwb0icY9x9j2ojz2JLXHH43mlCg1BP3RrWggsNE8Fi5EcOigYIwTCQdwmSHRZ6MomR7+Eq9HR0eNWwEyQ4FgC9slupT0bZtMqpY7uE+caEgZgvD2fVxuzzhI09OP4flzq6HNwFXiZu8C4piZ13rl+Xl4wEO6tSVhDV0K3QUfJ5/PRuZP8SRDXi5LgcZxzOG4euCaQ7K5MsyFM6IwDyW6uT7Cm4PoJf3YuwH+7Aw38ivOVFLXuIXjOuDnCdZffO69GB4RTcFy4uTsOSB0XJ8f+Wkt/esNu/XD79Hg898ySfumxK5QZas742zhHAj8/ArboQMxP/jaXy0WFTW4lH5fgiGsRiZ3c39DNiwSQ2fZ8YTKiByMJQodzgoIpdM0w4S5MxCao7oV8wJ8Vf8a9dSscmvnNsZ1j+rnjbOnnspAOiIvFodhHHA1eyTPnWuUg+9HFtqvv16aj2WxqbCxehz8ekATGExzzoDIZwWBQm2IPvIafZ2Gs1+sqlUozvk/qWKVI3cSMCu7Q4kXq2DKzGIc9Jlm4ELcQdAj8YY3DC4/PuxjaDyx0TmjpSXnX/rb+4+at+t5DnWOcu3pELz9/mR67JqNiYfp7s2ZZg7UNcOE3XPQnJyf1qvNG9a6v1vTZQ73Ge1WNY/PTL/sLwgSpnJycjCwLIZlkpIbExyu6EemcfLrlvIuh3I9efSFDME5khJKNyBwiQ5Hv9+r3XvPYfxZaWSH4IVSz2fCqFQQ6rokqF4K4nphBv/O4TFvfLLkoh+jPvG61Wvr6pum5sDyf1nlr4kUeyBmEgcC6z6N//P4e/XhXXcVMWm9/yioNp6Y3MmyCJHVlVbbbbV2wfon+6zWnR//Ps0WWLGTZq+Tp4Qp41nne2Hi4zVNcBmCvVgALCa+iYx4dLkHstbk6EvAAQwjEdK6TTRL/T0uDoxHMX+z7nCBBgiOHUqmkvXv3zuBwc0EvUYFgpoP3nfe/ppLW1xve7wTvSERk7Y4L+Dj/JNGPdimSImtrr671tjL9ANdlbYVP8T6k/6HUaX3jTkdwPIKW9OUGJLzBXUNb9rkkQiHw9Vof4GgkHHiFLsmOVC2FgHvBpUh6ZH2CM3o1tfcFJ0je75rgR5wDfwtnQawjAc/71c82j52/wFvZG1C1Q1JlKpXS1r0H9fFbp3uL/+Ilq5VJd9oHuHiJaMyajkgdVo0DroHEQwSnu3ZWdfO2CaVT0ovOHo0+jyj1rqev0Z/esEtf21zVA+NNve7TW/V3L1ivEWuHgGCO9TwI9xrsr0qlkrbsm9AHbtglSXrRucv0rHOm2wD5/g9xDF6JSxRzyCuaQvGf59n7jYeJ2CHiqtQWWhRstVrRNcW5Q8wHRzMoPtvc5x/nlDxvniB8pHE0vjNBggQLj1RqusXf+Ph41OJjkOQj1ypZU9yxxoNhIT8K+187r/RiCLQ0vgceB7cLAy0ETHlPUq2NbubngcYECEj3AwUbcFWvGoY7s67CXwl+E3SEg3mhEWB9Dl2E4NBzSQpz1544uCuS1GkXCb9BXwsrgp1jwMX8M3AzkkNxOYIT4TzTy40HwE8lRZqwW5lTFc6Y4XrkiQf1el237azp/dfv1t6JlnJDKf3aE1bqilNLXVoOc9eD8DwH7sCIhgmH5F5zHdxPT8Sk8CjUnpkTFLy48xHj4/uxQZ9JL7YKNW/use/HKESD45LgwPi4xT9jxRzmuSV5F26GXu1w11i3q+e6XGcFvQKpC6lrca7Osw5XI2Xv2y8xZTHR77tDrZJ/S7PvRRcT7MOPV3fLJDCe4JhHOp1WsVhUuVye0bcwDgQEPYBEplfc34ULCIsSQh5CYxiEJRPRSYFnRfbKQnerdidskAmvrOF7pY5o4RbOnD/kA/Kby+WmX+j1hr6/van//OFDunvPoUVT0hNOKOgnLlihM5YPRefESx2RrNlsqlKpROdLYIrvpHcmItvExISecGJRp63I6t5Dvcb7VY0TuPdqeQDJD/s0kbFF0Bti7UF0SIZX/vPffN57FjGmbCKkDtkg+BzOEe8D5baqYZWRV49zj/h3r6xFtwLnWJ4YAaEkSOjCmmcGOolDXOX+esJDuIBCUsvlcleFvB/Le+f8wec2R9Xiv/uU7v6PgPFmjLx9AbjuvrI+ddt0f8m3PGWNThkrRRumOOsrRGhsa30sIdVuScbmk2fHn03uC8EDxsU3PEeLZPSzVZsrSEY4Wj16vEo8Dm7/FMLfCbOtAYuBxaxUT5AgwZGFWxOGfQvjgDjj7kDhWh2u9QDhCcGQAKIHp7w61YPNcCvvVxj37oOzuqMMXACRB97hgU13VMH20PmT9zeEQ1AtRLDRrca9HzlVILzvR0ZGIg7J98FrEH3hNPAD7AEHhQu34VoCz+N+kcBAoBNhi36AcB3nTfCAMNnOXYympqaiXuUIzJKipIBeCb7cGxeavV82iaFYr2NnSg9IRMQ4XgnP4zs9IZTANnMrnU7r3364X9XJtk5bkdWTNmSixAyfe/As3AncKSAU+OOSe/15+5/bp4PwTz6xoI0rOsd13vXmJ6/SaG6vrr7zoHZWWnrtVQ/pIy89SWNLOgmpcbbYXrlGwsjQ0JD27D+gP/zCDpUbUzprLKufu3A0undUNHE9Xq3lLguIowT6w0ofBG1ENOa8z/GjgdABA947HzBvjlZQPK5NkyOsZnR4T17pyAeqE16ZIMGxAwLjHuzqF1CFE/LecS0CW27WTKyveZfBIZ27OA9hvYcH+bEIpqIFOF91wEn8/UpPZP8et0733s60woQjkBwoKQqKuyMLLVkI7nhyGnwb/dFbS7pFNAFWxh9eSvB5cnJyTnoOn/eCG8D9QidkXOCNBK/DHtkE+eGgnA/jg1YJZ/EKdK4Vt06SaLHUDgHHbTabXXsU14LgnGh0zuPr9br+5/YD+qeb92mqLZ2wNKO3XTamk1fkVSgUovtNwiY8Dw0tDIr7vSYhwpNV4e8kl8RVwnNdcPRe7VC8XRUJycypOJ5MH3D2YeiLIb9w/sRYcd5xRUa4IPi+AK2e4ibX+tAcucfhd3uLAK7T9eBBCwgXGuGeq1drqUHgCcVHA7MFtnudF+/Sw0m6P1zwbj4esXgm9gkSPIzgVd29KjoymUy0yMb14ODvwj4lvliziFar1egziBiAoDsZaZBCfk4vDxcaRkZGuux8wooGztEJMMTByQzf78ElRBzvWbf3QEVX33lQr/vMVr37K1t1956GskMpPfuMkv7xZSfpXc/cqLNWdnpsM54QORdiObbb/mAZBHGi2imfz+vVFyyVJF1z10GN1/ovaJOTkxGBHBkZUaFQiCo+PEGA64VIh1XDVP+zkELQarVaVI0PGeVnTnZDAkFSBT0oIR3uJlCtViMRlg2IH8eJsKQZgrQT85GRkWiOxAXiORfgmYEh2u121EOHcYVc9LIXRCTFraBfFZlXwx08eFDfeGB6zq4YSeuiE5fN+Lz3hadCHcEebNrX0N98Z68k6ZXnLdVj13YslcKgeNjXO7S2cSJCIINxYZNWLBZVKBSif1KplBqNRrQpQyzmHntGbiaTUT4/vSFYSBuiQTHf7/QN3NECfZnmA58DBHmOJKrVaiJiJkhwjABRDfha7cjn81HilbfgQOyAd/SzZ+Sdjc0eNtsEssMAMsFPuBjtOsKWPX7+9LLz9yLiC38DR3Q+ABBZCKAiaMGFPZnNqylYYxHT3MIRERCBzEUG1lt+hsDnFeZw67naSHOvGDd4JUIwvAkhCV7ovb4RWxE7pU7LHMaEayuXy9FYsy9ABHNwTJIjstmsCoVCdHz4DrwyLuBHIBZew76Hn7lQVigUuvqIekItXJr76L03txxo6fP3TIudv/TY5UofSobwvRdCKgmrbtkpdRI8cA/oJzDtrjR13b0HJEkvOXdUjUZDpVJJ1Wo14ozgly9eodcc2mOM16b0M/+1WfftGI++O65PI+D55Vo+/L19undfQ6O5tP7wyhOUGUpF3JqKIODPnnNo9kA4hTmv9EQCeGWlUom4hPeOZ6zi9rZHAvPllfDto+E+JHUq4OYL+GhoP3qkcODAgSP+nQkSJFgcuFbJOzHObY71AY7hduVoTp6IB5wLUVzjrXDQcur1eldAlXOAR+LqAndl3UPfABMTEzOqnSlCoa8y6xkVvg53F0IvhfN6wQpJAPycwhd4sus4JJmxvoZ6rmtxXpABVwnHcRBwr+A1rPF8J8cjAMr99QpSAuEkOHAuBOtJbpCm+TFc2N2Z4BF+LyqVSpemyT3lnjvPY9/jY4ZW6kVlJILuPlDVe6/fo4/eNB0Uv+K0Jfr7l56q01dPJ3mWy+UunsSccIcsAr9x6ytj4Ym5VHmzB/Hjw42LxeIMa/I4uCMVe4p+TqXcI+Y3CRizBRl5plzfYiy9OId5wLmxZ5C6kxMJfpPoATf0BFN/LpgDHh8guZe9xNHAfILz7PsOh9cdLnBUmA9Cd66jwemPZ155fKYDJDjuENqdQ9RcJAyzuuh76OKSE0gPfHMs7BJZWCBxbP55WYY9YCA5CFQIfN5jD7ENxGWTIohCIOKsmMisY0FEoBsZGdGeyqQ++aM9uuaOcR1sTJ/baG5Izz9riZ57Zklrl01XMA8NDXX1vfFEgrCKgJ+Hvc8ZpzCx4JKNhahq/FM/PqCfu6h31biPhVfEA+997Qss4w6pQhxBgEUkhBwQHCdY7PPBbW+ctDuwg2HB84WP+RDXTweCThaob1ogSHGV4/45HyOpe070s2shW40qLCrWEOB97rn464S9Fwiyvv+GPVG1+NsvW9X3b4DPmUKhoJ37y3rP13ap3mrr4o1F/dSjl0vqCIrhM8Jz5bak3I8wu5Tr4d9hr0m3v+L5dBsjXBj8mO4KwfvlSFYvh4k9g2AuLSgWC4drKxSXvHKkceDAAa1cufKIf2+CBAkWHiThAYSl8F0TWh/D0RB84qzT41xwCCojPHnSpfNKT3qUOsEfAuU4DvVynAmBgIIwyTk7qBbxaljWwUwmo3K53NXn2nk1PJHEK09O4/M+PnAYquEZV69admem+fbg9bWaY7Rarai3olc2UcmNJTj8kWQBxpaxpALGLUH5DMKuB0w9CQB4f3M+A+BvDueEztPDyoRePfnC+R1aYDIOH/rWLk21pSeeUNB5a7qTUL3SnArtUqkUVc27U5Z/1l0QQlx950G12tL5a0d0xsrcjHMLn8dXX7hco/khfei7ezXRbOsNVz+kP3/2Op28PBsJwzyTCKOejJzL5XT1bXv0hXvLSkl6y5PHtKo4rFqt47TAWEi9+3dyrF6OShyHe8F+i32kz33f51F1diTbt8yHTx1N63Sps1eZL68N3/U4VB1J+8tKpRJrl5ogQYJHHjKZTNca4O46IK4dmrfVkbp7CTtcH+Nv0ELgMGgkcY45Ukd7RAd0B0CCkiHC9QFe6HbCzqcAyZp+zV71jcuMO/BQLIOFOvobWgv80e3KcYHxoCzX6tcGKHaZz7se3iZ1EvHQhycnJ7vGAQceAv1Uk7uLCbolWqQXjzAP0KFZo+CmYdIhCZqcG4FgqcNfQ+7PvPOE13a7rbt2VfXer+3S1oOTGk5Lb7hklZ531qiakzW5Kh1qdD7+/JzzbjQaM3igu5S6ixEBfPYu7izA2j1bYhzXBXcl+BxXVBQ3Hzg2eyHiBZyPO+WEcwxd2Yt42H+F4xQi5O9+bHc+8qQD9ocgdAU6GnxtPsUkYQL4kcZsDkSzIXxXumZ9pDA+Pq4VK1Ycse97OCFh0gmOC5Ch10uckOJfwGRkhWBR9GpvyIZ/B9aTbmVIJlMul4tedpwLn6NaA+FM6n5ZkiHnti0usoJegiALHoLa/fvq+tTtu/SVTWU1Dw3LhtGMXvKoZXrqSXnlhzs9MBwe9GexD0VgsuwQ1aiuJfHAg24kFrz6/KV699d26bN3HtRLzonvNe5Ex4GVJ0FKyKKDZAAIAQsOlj1+r7yqnSoi78uCsAeZZT7wvX4/uFcheYqzTGFT4iIhtk6lUimqNosj5v0ITNhLBqFe6jwDTpJIDoCgeR90REO3//GkjlD0g9hDyL+1ZfrcVxaGdfbqmRmJoX1SiHKlor/69j5tKze1dklGb7p0uVKaGZQICSvPL/arCOpS59nwAD8WlmGSCcFynkNsvUiimI0cQYyPJOGcT2UO1U9Hq+J5IcYnvO6jQZyPlp1+ggQJFh5U1PIugb/4uyrkTASow/eP2xyydrI+U0UhdaoCws23uxBJ3cmCfI5gpP+dv9fdXhIOhaW4i6S9BEHWUsbEq2cJJlMB4kFYD7SSSEZCImPh30dgOe58+FsfS6ojBgkU9uKVDpyA+v2ein13S4Jr0WoGLkWyKHsI7NgRg1OpVFTh4lzfERfgI6GT+xC6FUjdiRAIs/R2DxGX9AE4n+9vremmbRPTQugT10rqjJP3zOb7aOvjdpJuVek2+Qj3iJSSVJ2c0ucOVaf/xAUrupKUe93LkZERPe/MtpZk0/rTG3ar0ZJ+49pteu+Va3Tu6nyXvWycyHb7toP60Hf3SJJ+6sJlevS67n0WYzQ1NRXNe+DzNkxe9XGUOu0CwrZGs3Eh9jdHo2XMXHAkA/dxONxq8bBnrzS/CqfDRcIrEyQ4dkDLFN4tuP6E7XJcjyAgGr5TWcMIGkqKijh8XcH5jsCw81ECabhioJF4ex4qv6WZ73WcfyiGgU/6+ZN0Gff+JIjHNXtCmLswOi9y9xtPyOOzcF0P5JIIxzm4hoM2SGB4Li16el2X9xQGcRoL/JeAOLwBLoF+yH3zloskYmKzzT1GT6QoStIMXuGONYDju+uo62T8/xfvreivbtimySlpTWlYb7t8tU5fMdPxL64YxcfNx4P9ULiHIWmYvRLX765MtGOEW0vd9zfc08DTuSYvVOqFfr8jgZWxj+OlPKtxrVv4uRdhcU+lbl45m15G0gT7A+b0bEkeJKnwDB8JzCfh8mhqlb1iRoeDdrs9EO9PsDBIAuMJjgsQsEYswBLRhYm4TS4B6DBbk+AktoVOCEC40LIoItZQyUJ2I7+H9MZVa3jP6kEEj9kEwWq1qolWSr92zdYoIH72WE4vPXdUl2wc0VC6U7FAf2EItFejsFAj4LIw+9gVi8WIWFMlAwFwW6jh4WE9fuOITlue1b37pqvGf+GxK7tEDAilV+DHCbh8NgTCKkTLEx1884EtphNYFycRYL26mvuC7baDqu84+P0Me49Lnf472A/1wmzZath9Q7BIUCA4TOWWB+u5X17hUy6Xu5IzXARnA+MJE15tPTIyond+eWsUwn7XlRui8XeEz16IT91Z1bceKCuTlv7wyg0azcUTU3cTgER7ZrBXadEn3OeEV+Y50ul0NBZxCS6DwoMhs1nRHy4OJ+uwnzA+CCDhnAfPFZuYOBxu9iWIu+5BgiALiaNhtZkgQYLFAes96yDilSN8XyKuhO8exBzW/jg3F0RJ75/I2h32ipYUJR7SZy506OGYWA56hXQ/zPbODK85rnczTj2IdvRsZ32Am2GhHvY5ZK1mPacKnnGEh5IggJW7w5M2pem1hsoUqmPglWElRa+gI1zYx9Hf+4i8BHgJeOMMxXkVi8XoXCSpXC5HXCtM0usl2CH2hpyTZEHn66FQHmIQsa051dZHb9onSXrR2Uu1YWkuSqrzgDhjBz9E9IFDc99JIEHUpzotl8tFvPLqm3eq0pjShiXDuvSkJdKhvVm5XI7+JgxAM38vP7moUjatP7xup1pt6a3/n733jpPsrM78n8rVVdW5e5ImKgsFBAJLSAgjkg0YjO3FBNsY2ywOrNcGJ2SDCQvG7NqAvTZeB7DN/hzXNjmYbEQSRgQhUJ4gTZ7u6Vg5/f7o+d469fa9FbqrJ97n89FHMz3Vt+59773v+7zPOec5nzqmNzxts560ayTwWpfLdf3eF06o2pBu3JHVC68Z8UR2V5CzY8ozVa1WPWcBP9g+qLzPoJ8gN++67Ul6tgGxeD38jneJfTnJzgQJgsZ5EJXdfnvLMxEYPxPuRyFChNgYlEolb41mDrNrC0EyCz7jwupXrIFu0r77d6uRSK1qZizPqeCm8MTVLNxzt1XlQfALeFqUy+U2y3bGwf08RR0E0iV5wW4Co3BHtEM4AutBJpPx9Ek4F3ydIii4k8stqIS31ba4CZIYydi6RTKdxsgWbjDf27WNayAhAO7LddoWSewLIpGIlpeXA22yg87H3neraVarVTVjCb3rjiP6zN4V3nPjjox+9aYJDadWax+2+tkPaJT2Pknyxp19FLoxWhIaum3hxH0nwcHVOIvFYlsSI886iQPWuYkxcK+lEz+zbZ46rdfwP+sAxr7HfpdNLuV8OyXIVSqVtjaj9uf9wPaU78WKfr1YC7eh7cF6AtQ2McJay5Nk46cn8oydSWfNQeFC1irDwHiICwJuv2trzRhkRy21B28gXIVCq3+4DYhbUufXCxeh01pOWnscu7AhGGHvzTWsJQvKTxCEGAwNDUnFor5/d1aFalM/ft2ELhtfmRAtMZRWgou2/yDHxK4GggMBc4UHdxFl8UIYtdmmQ0NDeul1btV4K2hpCY0lCX7wIytsItzfQ5gD2MVz76wALcnLTuS54DP2eYLcuL19LBKJhBeM5X5DxNmU2B7fVBb5XVu3RRmSxTHZNPgJ49b+HwvWZDLp9SCnjw7OCATAIefYiLrjXCiX9aX9K8H9qUxUu4blVeVb2AQKSAnj+u3jVf3N12ckSb9046Qunwqu0IY80qdcaoni/Bs9s1w3ATab3GcybhEubUUbG8a1VOkwB3C+G5UduNZAsF/lfa/A2tNaiPnBBs6ZXwaVfRkGxkOECDFIWJs/qVUBaqtf/eZLG+RFvELEYU1BuLEBWDdRzPJQbCSxg+T4tIuhfY47561lrbLJbwB+Y6vWOWdXdEWklNQWjLXj5Y4d1T42c55AuF0jCFpzfI7hJh6Wy2VvjUG4RPQl2bUT3/YTbNzKLttqBsC1rMiKqMl4Id7BxywHseKtHUc/WMtynhFgnQvgbFbM7gck9H3iwWU9ulDVaDqmn7phyhPM3WoHK/4hENsKbWvtCicolUpehT38q95o6v3fm5ckveCqETVOcU5bBUb/Tb9zjkajevKlGb0jHdevf2IlOfiNnzmm19xc020X57xjgEazqT/88qyOLde0ORfX656xQ9lExOvPKbUco+D9sViszf1Aaj0PzBV8D4I5oqgV70nQ6Bc28XsjLSbXKgay113LednE3SAQILGi5qCqb86GgDQJ3iFChDg/4LYftIUmcDd3LbB/t616cD60RTn2z36w3JUENbRK61hDUNJtX2PPvR/4aQM22GTneT/nI3iSm2gPp7L9ojk2+q/bWsZWhJO4iFZp9U7WANZ8Wq7Ywh2KLrq1NwlKuPQLQHJ/7Wc4d+vkaCvo6ZPNZxgjdGabVMCx3HWdz9jWShRr7Z8t6PfvmNG+uYqiEemnrh/Ty564VRH1XywitVvzw5XQRKUW75TkWeXbojMSRtFsSRhAw2OvxJj7aZUk3NnniQC6a3tOYREalnXq6rWohPF3YxK2EI19CpqhfQb5d9xgbYsqjktxVC+ulkHg3Gyx3kZgrdym2xwXBDRfkpM6fY57xZy4ljaVfjgbAusXslYZBsZDXBBwJ7hGo9FWiRhE4liMES0ggSw21q7HZlUSUPcLcNkFLhaLtVlKMiFLqwVLW13ZD1gEbe8Vzp1g16/ePK3MUPtCzETvt3CyKFtygChsbdItGaB6wS4ckBO3f0yz2dRTL5/U39+94FWNv/xx415FuO2V003I4177kU0XtmLLjoP9Gd9PpRjkI5vNeqTX2hgibBHEtyIXRI6gtDs+qVRKiURC+Xzeu3+QczIZ3WfXT6xh00D1jU0KsD3VXbINuIeI9hBOyD+kC/cDhF5XJJdWnv/XfnSfVy3+uu/f5FXXuxVLNhDOeEjSbEl62+ePqinpBy/L6ZmX5FZlfNoeSn7PsHUXIDnACtQuueX/3Gf73nNdQbZMQbBzCwLx6cBaK795lt1rs8kF9rg8d72S726B87UiqD9PKCiGCBFirXDXStbHbrxSkjfnE7SmPYrUHvzFlpsgKesvawWJWYB1GUHUBt79ekb6uSL1AkRFEjtZ9xGSEOf8LL+DgnyWa7lBZjfR0P6OBdfC5+BU2Fpb5xoAN3R7OHdCUDDOz8aPCh3bb9C26uE62ANEo1Fv/2CrfW0PbtZJqmdsIi38FDHQjrXtRQmHhg8gjnbigBaMV6lU0nK5rr+/e0HSir14vFlTo7m6Go1jsR5bPkqwmmcIcQZxlBY+HO/LjxZ0PF/XaCqqH7xyvK0VEpVZtGrqdO+u2z6qP3luU7/y8aMq11aC3wulhl7wmJE268q/++aM/vNQUYlYRL/7tK2KVIsqOENlW18hrsPX2S9IrYA115LL5dqeOZIzOiWL+AHOZS1rJfnacw4S6xHzbBWXBePuPj88v73wSlfUltYm0vvBjz+ezkRL6ewQUUOECDEYWHtkYFv9dQIJ6PAruxZI7YEzy0dscNB+p9UqrRZj3S1toBIQCHRb4HSD7RVN/3DbI5xz9nORQ99y51+uy66dVqe1Ljb2Wt3kKYqd0BPhYBTplMvlVYFSiqBshXO38fDT7wiEui5B6KCW36FJ2x7maMDotuhkrLtcq5+mxXXaoiS/1o9fPljSu750QoVqQ+NDMb3+6Rfp+m1Z71z9uIufDgXnsdb8BLALhYJ3f237Sguum/0DbZzi8bj3/BDQJBjOfsU9l6GhoVVtk2yRkgtru895U3yERsrezRZM8TPuid977hbdMaa8KyQESK0iOpIhbaIuibbWoVXq3tYGLkbBE5/vVvV/phCUZELSELo7sJp9L0mafvvIQSUHnI3jeSEhDIyHuCBgBSXQy4aSbDiqYQksUu3BMSy5gDBgm2PRTSglMOuXIWgrsukPQxYgYpqbzUifw0ql4pEjsu6wmisWi8r6BPDJ0OQYtnrJT1jwyyz0I/gQCwLntvoHMQtR5yXXjeotPr3GCTJD6LtVuPjda2vxaDMnsXZENAyyrceqkKoWqpeoRLbVyNZZIEjksj2t7RgioPo9O9ls1iNv0WjUq0yR5BFZ7I74mUtkOH9r0QTIupRawU9EPqxQJbWRf/ts2Mot/j6/tKSvHVoZz03ZuK7fNemRjCDbf1uVXa419D8+d1zLlYYun0zql2/Zomat6omtflax3WDfC8RlngtsL9nYkE3NuNjKMoLmfhsHF36CMU4WbHpccXNQ6Kc/lgtXDGSzZG1hSRYh4eNM42wJjJ+uvkwhQoTYeFh7QvuzbuIXVQzM9YgvVDrYZEOp1UbHtmnhO6y458IG6fwy+21SltSygURMYX13+0Gm0+k2JyEqEQhs2iCnn403vC0SibT1wYYD2s/addRPaGVttgl77j3gGEEuO8Cu/WuFXwUsgXq7N3D5AUKO5TAE6Ll37Cmsc02tVvP4K2Nnj+tei1sx5o5nIpHwODrPo+05TjInz0QqlVImk9Hf3n1Mi+W6do4m9KxLst75u7aG1vKSqgsrFJLMyB6LZxIeAe+Kx+N6//cWJUnPvXJEkUbNe87hIOxxgkCgulAoaNfEkP78edv0qo8cVr7a1F99Y05LlbpefsOUKpWKvnWkqL/++glJ0i8+cVy7Rjo/IySksDdARIc74hAFd87n894+k/fSbRkVlJho4ZcIikDKHsFW/Q0K6wnQWotZYB3BGDM4+dncN/10B6rZy4dJniFCnB9wA7+9ViHadRSehX5heSWBXHQfPzfKTknq9jh+LiS2cEJq6a/Ar9UFyYMkihJQtL9P8YM7HiRl2qpdCm781goC1rZHurtm2uRKtN5qtdrGKWzSZZCeQkAU3Wgt4DvtecLd0Mb4OwkF9vvt562zEzyecZPae727RR++yaz1pv76m3P60H1LkqTrtmb0608a10SmPaEtm822BfLRLeEg/JsN/OIoSsEMhTbWtRNYTY4gLsfmGSfxFK2WsSVp0R7TrxUqx6SQKOj9sNdp75n9s1/CX6/PB9dKIRnjhWbIHs46Ntl3Dt2bpBaKooKeYWIfLrdh/8r5bIS1+np4TZDmh6bOHpR94Ua5dPaLsyEwvlEOAOcCwsB4iAsCmUxGl19+uU6ePKkTJ054EzgLhl/GIwIQE2kymfQWZKqbOTY9IaV2G6JeCC3fw8JEplcQmLAsmbWTGMIWvX0gxYhNkA+IH9UafuQQImGz7BBWsFWClLoBSMYQoYcFCJEoKNgLOSgWi7px+5AuHk9o71zVqxoHNjDZCxDkbMUGgrM7vjZDE5JvYe3wsUqydpfWahyib+GX7UgVkQXjFVQFTqYh54Ioy3jb/3gW3ap0RFwb1LbZvgTYbWYtFWgQcivoUwXN4k62KZaqb/uPGe+7f+cpU20bMPqhWvD8IGz/2ddO6qHZskZSUd3+lGnFI1LiVIWU3ybIr40AWYM8i+57ahM0bLaxfQ78KtmpaJJarQKCSKXfJsPNYgQ2YMHn1mNftJ7AuF+GLz9j43W2kaqgQMfpFhPPtnEJESLE2rFp0yaNjo7qxIkTmp+fl9SqeLAZ/IB1EDGDYCgVvtYy023JYf+9l3mLdRhBD2HED3BO1kPbMxDg6mIDU/A79xgEU0k0tJ+HNxCQzOVy3npGlTCipWuDzfFYc/huEkLr9bovt7LVFZ3A+AS5DFnAd0kSZE3FvtTCBurttft9P1zKfr5cLnv8znJyez/5uT1up0TDoOQ9a9fKOdnWO9wD7EIl6cGjC3r/PSclST93w7hi0Yh3bLfFFEF1y5OkdictxpXkVQR+hMlMJqNvH17WA7MVJWIRPeeyFdvzdDqtfD7f5rwl+VcmucJnJBLRjqlhvedHtusXPnRI86WG/umeRS2WG3rRNaP6n1+cUaMpPfOSrJ571cQqTg8/Q5D3E+XtWGDvzTzB88PvsH8imZbngH2b3/xi+9RbBCVX2oA5wibvYb9Yr5hnx9NeB3PY2RgM9xunMyFquglFIUKEODcRiUS0Z88eLS8v6/jx422FFEFtA+EU/DuBPtuOhLW4Uql4xyAJDb7VjfOQuE9Vsg0e+4GCDYp+/JDNZj2dBb2Jfs62wj2ZTCqTyXjru7VJRnuyRUXZbNbjXTbBjHFwWxLZ/tzwStZY9Be/whXb+zoI/B6cqdv6yvVz3rTe8eMwVHrH43FfTZViJOvKwvXwWbTHTCazijsTwPb73hP5mn7/jhO6f2Zlv/DCq0f1k48dVTrl376GZ1FqVXSjy9qKausGal0kGRf2M8DyKsuZuDaSLngOKTiy7VSty6tfNbD73ARpSm7BC4FpHAW4F348zd3X2TYwxCH8klh4L+zxbeGYvX9csy2gI5HEz4GAMe3mumlh76ubAHM6YavlpfbnxHWROJtwNhTQnA3ncKYQBsZDXDCIRqOamprS+Pi4ZmdnNTMz41V/EwSF5EHSpJbdZCwW80QhCFyQnRtCBotCp80yVdl8Xzab7UhO/Qgmgms0GtXy8rJHJO358O8srO6iUCgUPIsdyKW1vbSZe5APgou2UhkEiRlDQ0MeMXHPgUAziEQieul1Y3rLf5zQR52qcffaOmWq+RFX12ZKal84eR6CskFt30OeAxISEPn8eo6Q0WpB70R+B/HcWim61+jaoUNEINFu73cySUlqYMOAoG0JhNu7xwLCzvNvM4OtawLJFLVaTblcTvl8XpV6Xf95eOW405mYLpse8mz3rc2khSVln3hwWZ/em1c0Iv3WrVOazsY9kmzHwP7HeUHOCHizwXM3KrZCnO+3VfsuSbRJB1K7MGZ/zvnxfz8bqCAEWSwFCd8bCftcSlq1CXD7dZ0NCAokne4ekRcy2QwR4nxEKpXS9u3bNTU1pePHj6tcLnvBTcQ7MvlxHJJaghNJabaqJGizbhPPusFWebNmd/u837VZO2vWc/s7NhCOuOqKjoifrLUEPKWW5aStjEWk8etxGBRUJmC+vLzcNoZ+3LQXdFvDbCWOBeKsrdy16w/j4FehwXMjyUsKsEItnMTPXcgvmTaVSrVxdptI4Fd1I8mrQHfdCmwrGY7JOL/v24uqNaQnXpTRDduGvM9bPo3ozHi595AxY0/h9k1E0OTc/unbKwmWt+3Jaiwd8+xNJbUlVrBPcfcirlBHFVEuGdV7X3CRfukjR3R0uaaPP7isLz5S0FK5oUsmU3r1Uy5SMhlv62eKMw7828++3Sa14GrAs8r9cd2W7HNrhWD3526/z17hJ2y6ibO9Yj1JhvBY9mRUQAGbFHQ24WwJjNMDN0SIEOc+IpGIhoeHlcvltLS0pOPHj6/ihwT7rGOM1F5Y4gYMg4JbOK10m8PRTdwgZKfP+10bxSjlctkrJuA4JM0Vi0WPL8BVOB5rO8U+/C5BbEnemoyehkOKn1Mf3MNt5ReLxdocVmwwfi3rEUHqTr9nkxbsmLnBbav/4U4TdP+shTzuP9w7+Kq02qqfBEN7XLjVXYeL+sMvzWix3FAuGdVvP227btqZ9QLOlofYsc1kMh7H4xrQ19GabQKDdSR0nUul1YFoy/M4LmNoXYjssdx9kn2mbTCccWI/58IvMcEG4AH3C85m/2OvxFjQzpV7bp8LquddFzB0e/iohesoxDPtOo/ZBJV+909BwfvTzd94boOSikg4Ppt0uaDEmdPtRHS2abinE2FgPMQFh1gs5lX67N+/v61CmyoUa3UptWzOqYQlWN4tGEtluWtl4teDEDSbTa/yIQiQQptNj0AJWBQIOhKIRnzAqsaSao5HUJNANYuntWWnxzWZaS4IEENq7BhYixvgVowAWzX+gXsX9dOmatxeK6TP9ukkuO8H24eFXo62sj3IAsd+p63aluQlTLCBsbZEUouUuNdqeyfiYGAFNGnluUX8g6zYSmI2N5AYG9Bnk2Q3R7b/M0TRrfDyA8+brcCHdHBd1spKkpaXl5VOp/W7nznqHed3n7rJ2/TYymwLEhMk6cGTVf35109VJT1hSt+3a6ytN3cQuXGtlzgm1lKQXO4/1d32/cHy1RJ2m2BiESQq2mrwoGe9X7DB6Bdrzd7kHa5Wqx3te882EfNssZm8kMlmiBDnM9LptHbs2KH5+XkdOnQosCLXtf0mUQ7ryG6VkdaJhGQy1ha3RQqAowUFQ6VWxTHrHT2qpZbYWqlU2uyxEWvgusyz9rq5Vs7PujQh6ljrRpyZ/ILi0upMf2ubSHDTrRZeS7CvWq16IpUVZbsdy1aUwCvtesvYItjaPQT7DbeFEb8jtdq1WDDeNjg2NDTk2XPTTiefz6/it9b5iJ9xv/m/DVLbfUm5XNa9s3V96cCyohHp52+cltRa5+x5UrUWBMTUSCTStu+y1dJw4b0nlnXnoyvj/JLHbVIs1nJ64rzs2BLk5xqsmOpWt6xU6NT1Vz+6Q7/8oYPaN1/VUrmhWET6rVsm1KiWla+2Hx/+TQsZ+xyTaGwrxe3zxPWRIIMoah23OsFW4w0iOLpWbrieJEOq9aiI8kOnVktnCmeD5aUUJlyGCHE+IhKJaGRkRNlsVocPH5YkL5jnJt3jgscabdeCbvtxyx+pIKeKtpOG1kv1s11fOTe/alwCrq7TjLWwtlbNBDzhSjhv2n7YBBcJtrr8xYK1n0INgvcE1N2WPmtJHuNac7mcarWax+ls1XTQudm2IlJr7OG8ttWNuxcg6YF7ydjAgwjIuno2z5X9eSQa0/vuOq6//9acmpIunUzptbdOautw1LuP7DVIZIQbkABB0NVyausQU6/X2xws2SO51dq2DaYfeB/4Htu6Co5ZqVS8PYPVEdlfuYUfaKa2Z7nUcgDi3ti/s8ch4a+Tg4INxKMz4tSEZourE65cfA8J1uzLeKaJXRDopjiNnwc5bfJsne6g7CDhFttZcD/PJv60Vk130DgbzuFMoa+dzBvf+MZV2S1btmxp+/crr7xS2WxW4+PjesYznqE777yz63Hf9a536YorrtDQ0JB27NihV7/61ate1He/+93as2eP0um0brjhBt1xxx39nHqIEB7y+bz27dunBx980AuMIpzQZ4LgGX3d6CdCdp21Ug+CDQxio1IsFr3Mw3Q6rWw229avUVohTiy2ZIVmMhkvqC3Js0OydpJSe1YRmWYs+lQ2E9QqFoue5dDQ0JBHRKw9Et8B4WRRhYTm8/m26igXjCXBR45vA8UEprHCdJFIJPSyx09Jkj5y/5IWSqs/w3hR6UtWIt/N//2AkIVtj7VcsteB5SlW9YVCwbMd5JmAENnsRHtPEPbc66QKigpza9tEYgUCrd1oEPwvFApaXl5eJYZzv9ykAalVRc34c93dFkQrPnM/eX9scNy9xoXlou46TG/xmPZMJL3j0WuSY1mCWalUtFhu6q2fP6ZaQ7p5R0bPvzzjEVcyaYPA/bHjUi6XvQQD7jPEm3F32xNwLMBY2jGFkHYSCQdZ2dFL//RB/I79XeaETmDOPNtxugPmFzLZDELIK0OcD5iZmdGDDz6oQ4cOSVJbBQ6cDkGzUCh4yYVUxuC00W1uxbqRZDKOxSaf9R4RRGpVtTL328/BP7FxtgE8YOdJ5nZb7YCwVSgUPF5ET0F4H9UpNqkK2/FMJuNxq0ql0lZd4gIelMlklM1mve/l3YZfwwMJVrqwPCMI+XzeS6IbGhry7B3hK5lMpi3oasFYImolk8m2fQMV/Vw7fM1aTOIUxH2XWtbmFlSVWy7Cc2TtTO3P4WrwLpIAJHmJgPzH71DJz72JxRP6s68elyQ9+7Jhbcm0+o6StDk0NKRsNts1UY69DO8HyRdcn2159MH7FtWU9MSLhrRjNLGqQgnh0dqjkkRC4q8Vo3mG+Hk8HtdQKqUfe8xI65hN6ffvmFHt1Bi5HI/WB9wv7CxxkAA8c9x7/swYUA2HoIwo3i3wHFTF1C9IEu0X6wmM+7UfcIGwezahU0/Os+E8LlSEnDLE+YB6va5HH31U999/vxYWFiS1gmXYRdsAHXxDau3Vc7lcT0nqrLXoIKyHBNfQ0SyKxaKX0CXJ+xy8wl1fbctBqX2e5M82KI4+QzCdZEOChzYBrVQqtXErNDu0SY6TTCZ9ORv8mOu0XFZqOf3A1YJ4n9ua0Q9wAr6PRNd0Ou2NoZ9+AhfgWiiGct1VIpGIcrmcp+vCRROJhMd7qbQn8EmgFRDUtuexUKrr9k8c1N+dCoo/+7Kc/vQFe7Ql19IraQuKlmk5PHwyn8+3uWcR8EdbxVEJ8EynUilPC4WPd+I8JDXgzFUsFr3vxGbcb39gK/Td40nygs1wRX4nn897wXfLY0lG6CXx2YL7gsaOhktsgvO2rlJwUDt+JF7jsGATibtxlUHplWvlpmvlNiQwdNPc3Gf0TCOI457uJMxetIjzFX0r11dffbU+/elPe3+3N/Hyyy/Xn/zJn+jiiy9WsVjUO9/5Tj3rWc/SQw89pOnpad/j/d3f/Z1e+9rX6r3vfa9uvvlmPfDAA3r5y18uSXrnO98pSfqnf/on/eqv/qre/e5365ZbbtGf//mf69nPfra+973vaefOnf1eQogLHDMzM21Zg7Yqg4nACkmS2oJ/1g7QD9YuOYiQslhnMhkv4xFgm0K2WqeMOHdRZ1G0PSKp/La9HTl/qpaoFsHe0+2HCNlxq3jIYJNavdJZ+G2AlGvI5XKrLLqtnR/Ex15zIpHQDVsSumQipYdPlvXB+5b0suvHVo2FrRaRWjaP3FeE4KB7wv1GyHXBfbLBVMaOKheSBYLIBN9hhWZrT8r/sX6iQoJ51rUN8hPnrDWOn30WlUrWyhvCZu0ogwDxA65NJRVdCJKI7m/47KPeZ95422ZvvLCrkuSNr604ikRjevsdRzVTqGvHaFK3P327huIRb6PUDWSocl1+95b7xzOOMM2zxLvDO8v184zZMXB7dPp915kE92Ut6JYMBHCIOFsCwWcLwQsFTH+EvDLEuYx6va5jx461zTO1Wq1trrcuJPxdWuFNCB6d5geEkU7gOHAo1/WGtiN+VncWlUqljcNYsZK5nWv0CzDbfoEE/BGKrJWmJK+S2cL+O8FkhB0Cj3Ydp9oFwdiu3YiB9vMItghsQVUTnJ/UqgQnMYFefASAg8bTWnv6wboL8RnapiDAEewnGcHasCNgurzCciN4OecJH7KVxtwDl8+5FRUErAuFgj750LIePllWNhHRy58wrVSqfc9DskWnPqTAvQfWFYBxjsfjqkSS+szDK+f649dNelwLZwL4I3zOulS5Vf+0u7LBaq7v/iML+pOvrTgUXTQc16GlmvbOVfWLHzqiP/2hrZJxxgnqtch7RLUQeySAMGkr6rgWngVbUR4E9oqDSkYkEfx0oJ/qO2uzejagU2D8dAqZZwvPPpsQcsoQ5zoWFxe9gLjUalVn10Y3oMk6YQOVnUCxTzc+aKtpLY+w+o1fuzeAzmrXKFulbVvuWNcaW+0JnyDpke+jSpxjE/xz10y0Vc7bWsKz/tqqcLgE/FNq8U4/PRF3HoLcQTwbXdb2e5fUprUSvA66f/y+XzVsvV7X8vKyN0Y2GZJxsLqvXzKcrUKXpO8dL+ntX5zRbKGuVCyi/3bThG7bk1M8KlXVaofiOm/aJFd7rbQsBDip2p+R4Oq2hOw0Li5cXmy1QDRPAvm2itq2mLQtiHjW0UE5FsFrNEK0T8a9Uql0bT0gtTvj+N1b9kZuSwU7H8DnSRyAA+OGyXNtq9P90EuhVK9Y63HWExjvx/2o389vFII07TOhYTJXXmjoO601Ho9ry5Yt3n+WRL70pS/VM57xDF188cW6+uqr9Y53vEOLi4u6++67A4/3la98Rbfccote+tKXavfu3XrWs56ll7zkJfr617/ufeYd73iHfu7nfk6veMUrdNVVV+ld73qXduzYoT/7sz/r9/RDXOCAMFiw6GazWUkri0E+n1c2m1UqlfJsRwgik53oB4QWK7DYiYVKHns+ts+zJC/brNtESPCUimJAFTiBaUQZKqLdTEdLmlwRq1wuq1gseqKmmw1J5hqAFCDUuIF9sgQZAwLWwNpvks2HePlTj5uUJH34vkXVYqlV1+EGoyExVK0gHgZlh/WyKGJd4wp9lmRKLYsfV8DBksk+A9aK3f6M4LKteiJDlu93LTqxwnJBRibCKudhXQggqt2y5yC8jCXnjwOC7VfD81OpS3cdXnlOtuTi2jnW6iNIRjEBaazCEOf+6mvH9e2jRaXjEb3uts0aircq4V2hMQjWOolNlbTyDlGdg2gPqcVqyhJrEhM4R9vfXOpOrrpVt/cLW6HfK9ZazUK1XK/o99zYTAa5T6wHZ4vl5ekSm881hLwyxLmMxcXFNr5GUhAiHgHdYrHYVsnB+hVUxQIQMBBL7LwKR7CAX9j5GrciWwnuBwLw7lyFk5AVuBBbbK9kvt+6E+E2ZH+H//L5fGD1rbXOTKVSbbwSJJNJ5fP5Nu5CRbektmth3BFkXXHJr1LHr+2RdQ9CUAu6f70IGpyDy2EJvsMrSLy094bAP/uUTuCa+T8cC65jq4kArj12P9FoNFSoNvT/fXtekvSS68Y0klrp55jNZj3OjYOSdSsIgg3S26RWnAHYv/zb3cdVrjd16WRKj7so6wnjVBIRgIbTsb9DCJTkVdZhMQ8XTSaTSqfTWipV9XtfOKFSranHbknr3c/bph+4NCdJOrJc08994JCWK4020Q4+yh6IsSU4ThI0VW9SS8CXVvZa/C4/s8kPQdzLJnQPKumSxOx+sFbhrh+ux/6gnyomKgp7Sc7oB52e59NdMX42CLpnG0JOGeJchw2KS605h+Q4kgapYLZOiXCgoLnBBtQIfNs5EjchgFOg1NLaSEBEOwmC7fVs1xWCdHwX1ueSPN3RzrMkkPGddh2Ab1M57jcHwwPQp9AYbVW7HWvGBj5r9SCre9r1Hl5PQBUt1o4PTo92fOBl2WzWq9TGCtwPvbincI3uMawbD8FdNzkVzTASiej931vU7Z86ptlCXTtGE3rns7fotj0rfMgGl9F+cT7i3vqdK7q0rbi240mRDMfP5XJeEio27Z32TFLLWlySp3VSPGZdDahgZy+CBm97uttWV/A4khFtEgdV/dYuHZeDXqrF3faZPFvVatV7rorFove+sq+0Wi4JybTDQgunkpzz6lQVTFHVoAKyJFGv5ff6Rb990V3n3V6QTqe9PekgEfS+n4nA+IWqV/bN3h988EFt27ZNe/bs0Ytf/GLt3bvX93OVSkV/8Rd/odHRUT32sY8NPN6Tn/xk3XXXXfra174mSdq7d68+9rGP6bnPfa53nLvuukvPetaz2n7vWc96lr785S93PNdyuazFxcW2/0Jc2HAFTKpZpFbQ0op+BPYQ6Ky1oQWk1LUDR5SxhJPFAcKQTqc9Cx1JnoDj9ojBMgmh1doHkqlHUMlmvJE5CFhEs9msV62MuIZoGAR30rb2LIybS1gB2We2YpWAKGRSkifMQf4RjJ60M6NLJlIq1pr6+7uOehmmjC19XABZcVTa0H+70/X1GshjDF3Ch10qAqH9DKTGJRsEV/2+Awuk5eXltmoiqpSx55Fa9j5UGtlxtkIj38l3cE62IqkTsPwkI5dn0z77lmTE43H9zicOeH9/8zO3ec+pS5RI6qCK5uvH6vrX763M27/51G26KBf1xiSost8FzzpjZfsdQXARz6hMonWAJVd+RJjNC9V5kNeg89iISpd+CROJHf0Sun4yN8mm7UfEpCqKisJBEs6zJTBuN/4hWjhXeGXIKUP4IUjARBB0XXwQ3GzSoQvmQb91w1pIkvRIX0U4DOsy6xHBXDfRC25kK2SkVouTVCrlzeHMXbalECCoR0Ipa6GfIOrCDUYXCgVls9k2UcoGEYHbU9tyUK6L6gvccGxvSptkQDIr+wBXBJbkiahwOJLigiqG+Z5eRBeqZVwOShIiewxXsIZ/FAoFX/tJC3p2k9yXz+c9/sCzSDCae8L/qWShCuVfv7uok8W6tubi+i/Xb/Icsqj8gdtzjE4Wo1TskJRBZbDU3jaq3ozoI/cvSVqpFrc2rlKLv9vnhH0B+7NsNuu1sMI5gHcRgf+dXzymg4s1TWZi+o0nTykWjeiXb5rUC69esVafKzX0ig8c0kKl6Vl6Iq5ZC3z+s24QJCDTC9Jydjgk18LezFbQuWBf4V73emCrnXqF7ePaKwh09wr2tr2KmMxnOFgMMumy0/icbleofsbwQsG5wimlkFeGWI1areZbxCOt7GdJBGP9hgNQrBKkNdhiC1u0wu/Bu3DfkVqBPXRHWyWLFbitpE2n014yEloUQUHWvmw26+kErLsEBW3lN8FV+Fiz2Wxzt+w0fi4okLAVw35rgq3Ih+tSmMJ6T8IgxTtUMnMf+Hk+n/cC1Gi+uDoBArYkg5LY57ozWvSq+6AVuvzLFlShVTLGcJOZhbxe9/EDes835lRvSk/ZldH/+dGLtXOsncsTgLW291LLfZMALOOGxsZ14PIktVwR0K8Zi+Xl5bags237EwS797BtB6yW6vJkng3OB22czwP77PMckQSBrm7t1HsJMlorefR4qRWnIDiP7mjPiWA5Y8q7YROwKZziWbDV8BY2tjDIgKyfs1U32EKmXtFLZb4Fjma9fg9zD8/toJMu/XAmNMwLlVf2VSN/44036n3ve58uv/xyHTt2TG95y1t0880367vf/a4mJ1eqOT/ykY/oxS9+sQqFgrZu3apPfepTmpqaCjzmi1/8Yp04cUJPfvKTvcylX/zFX9RrX/taSSu21/V6XZs3b277vc2bN+vo0aMdz/dtb3ub3vSmN/VziSHOc8zPz7f93S4KVnwgOIugaSdZKgCwyENQCoLtTcNij9hBxQn9y5mYXTtIiJkle2TUsQhYIYrvsbaVZEdaS0+yTVmMIeJkm/nB2sRRAesurpAuxg7bIoiJm53IdSIG2aoe28v5ZY+f1Bs+fVgfvn9ZL7x2Ujp1HEsUqGKGQEsrvSIRFDsFJ/vJvCcj0pJomyUICbSZevZ7bJahzWzk/lgCb8eGz9iANveWjEpIvNTK/GPzwr2xtu4Ie8zB/DsEyZJH1w4VwmnJGOMYi8VUbUT0raMr93dLLq7twzGPoEHqEOCxXspkMjq4WNXbP7fSr/WF103o+7a0L1fdiIK1RreJAWxiGBP3ObcE1q8ah3eILGvGtVqtKpfLee4TlpgiFG8E+iWubIDtc0O/Uz8w1/UT1OcZtHbBdvPYyTaVfrnSavuttSIoaHEmsjCLxaKGh4dP+/eerTiXeGXIKUO4cAVM1gKpFYgEiUSrF5/f3EOwDoGtk/BHMI3qCQKkcAtEJMQa1nfWMWuV6LYB4TwQdzh3grdwThvA5Hr4HZLQ+B6SFN11m/XFcgGsAG3AHHHVrgk2aOgKXFwT/MuOu11vGCMCvi53QsizwiLcGlcUK/y64Pt6XcfgJXAMqZ2TIGojdtrxhI+6wWXOg6RGfgeRDQccu5chUYI/W+vR4/ma3n/vSvDm52/apEQ04p2b/X1rJQn3h1+6Vf9cN88u+ybbXugj3zup+VJDU9m4bt2dVTLean3DvbDPB0nE9LCmwg5h2uV/yWRS//jNY7rjQEGxiPTaW6c1lm7x9p9+3Lgmcyn9nztPaLnS0E/+w0P64+du1bbhVoU84+veb5tgQTDbWo7aIK59t+r1urLZrLefISmGZ87OL4MMyPZ7LOYG9rf8LIh79SteSq05hgTkZrPp7VNIWrF7OPY+7r6v0/62V3QKsJ+JwLid2y90nEucUgp5ZYjVcJMj7LrGWlYul70CA4I7rlZJYIlK605JfBwbnQgXFDQfNCuKfVi7KI6RWmu5JE8DyOVyba4zJOXxefgbldnWjZA5DY3CJszZNdEF+g/zPPzOWsJzLVJ7Sw8CuX7HtnbkJOaRwGarcUly9LM859rQ/Rhbq41060fNd/fShoR7zjnzPZbbc/7sKb5zcE5v+8IJHVmqKR6VXvWkzXrG7pSS0abi2WxbcJvkPp4962jJ88D1W+t2OCb/ZouZuDaKJOzv88yh7fGc+fFweCHV55wb9xEdEj0MDZd7SpKjHWveJ7gnLrP2+ix60bH4jO27bnuLs4ewxXCMNWNjNWTGE15Ur9c93o27J+8Xcwecyo7hoDUyq6n2AsYczstz66f/8h71y+1scgF7Kju3WU3SJhTZdrn23d8InCmt8kJEX4HxZz/72d6fr732Wj3pSU/SJZdcor/927/Va17zGknSbbfdpm9961uamZnRX/7lX+rHf/zHdeedd2rTpk2+x/z85z+vt771rXr3u9+tG2+8UQ899JB+5Vd+RVu3btXrX/9673Mu4e9lE3D77bd75yWtEI0dO3b0c8khziNUKpW2gKxdUACTD5Ugtoqc4B39+shC91tMXNggpM1E5Dh8BpLExovvRAwhIArBsWKVBUSZ8/KzeLYZmLYPuK2il1qkiUCsHTd7nvyuFeBsH2my6Gw2pf0OyA8iryUa4JbdDe0ZT2jfXFXvv3dRL71mxc4HmydXAOHeQSqsRTu/Z0VHRN9eF1aCjFQjudal9vosgUXAgaRxHu4zSe9Mt1894wV5s+drA55slGxGG9bh1rqSY9NOgLG3TgSQQIKeEFhX9LXZhqlUSq/+YCtT/w1PnW57X2z/Sp4LSTq5VNAbPnlExVpT12/N6CevyXnvHs9/N6JJoIDxRnDn++xzYIG4a4MYbG6sgE8mM+Sc94iKKc5xI6rELdZKmJjHAFmqdnNCgKZfq0bXEcEmt/Bv2Avbd9Dt9zoIMtiJiNt7eLqIZxgYb8e5xCtDThnChVstTsKkzbi3SW1SK+CK6MKaaRPKSKTsNPfa9juWV9pKXeZya13oVtmSNAZP8et3jrCGsBjU79cKlySm2YQ9OwaIVfTDI4BOIiGfJwETDmC/lz/7VSRbwRUxjvNBGIJTu33VuQZ4peVliJbwW7gba41bidKvUGMFuCBhVvJvZeSud0GisZtASfU8lUoInazNVDRXKhX932/PqlJv6rFbh3TrnhFvznStSG2Cgd1jEASHzyGEsldgT2H3CLFYTB84FYz/0avHVa9WVKzKqyjCbt0GZ7nX9Hfk2rlvJFogfH33WFHvvWtOkvSKG8Z11XS7o1E8HtcPXZZROjqpP/rKrEq1pl714cP64x/erV3RsvdsEtgHcEkr+PPuunzWJrly3bVazRP14aBnq82huw/iXtj5p1KprCkwbddmft/dr9mEDitaIlwiOK8XnXgCusB6g++9gjloLVal5yPOJU4phbwyxGrYIh4CvJbb2eR2dDiChCSfwa9scMmud36At8AdLS+ynMsWDKBFWrto5j8bOA7SQigg4dpscB2QVE8Qs16vt2k0HAfOx/hQYGL1TY6BlTx6qS2gQNdyORjcEc4qtSqjbXUxPyOJwPJ4gq/WyhqNlQA5nJkkTO6F2+amH1gN1K5N7j7j3x9c0v/+8jFV6k1NZ2O6/dZpPXbHmOd0RbGT5Z62jYwdL55Lnl/3vuKKhfskQXvWUMsb7bliY23Pwd2ToGlxbL9CGLgKCc3WwTMajSqXy3m6tNRypuI+kcyBVm9bAPFM9BoUl1o26NZ9MshVlPedZ5m9pt1H2oQC6/IFt6cATfIPhG5EYHwtcDkvWjRcm7muX72V5AGSK3g+uCcUD6JNSq19loX7LK4VQeNNoo9tL7bRCAPja0A2m9W1116rBx98sO1nl156qS699FLddNNNuuyyy/Se97xHt99+u+8xXv/61+unfuqn9IpXvELSConN5/N65Stfqd/5nd/R1NSUYrHYqozL48ePr8rMdGGtKEKEmJub8/5M0MxdKN3sREmeqOI36SJI2mAkCznHgtSwABHUpDLWgsAR1oLWZtMGR90AtT3/VCrl9Xy0WYIusGzH2s89BxZSGxhDzM3lcl6Pvmw225YhSsUR51itVr0KIPoo8nfGjEw4AsyWYCFgIZa+/IZNesOnD+n995zUi66fUko1b2z8rFAgsTbJgPG0/RstAbXWp70AkdTNGuM7gzYi2GySrWkFMTY7PCsWECWb9QlstQrj4QZBbW9NNhjcE3cMrcUWQqa1SfUT0L0s2Upd3z62cn7bRhK6fOuo91wgNkP4qDAqlUp65xeO6cB8RRNDMd3+1M2KRRtelZQfuXVhe0FJLctGmwxANms2m/WCBzaQDVlCDEagdPsJ0afInRsQ5Dcyi1BaO3G1Qr57HNclox90ynS232cFVEgn76OkVcGItaJTf07sp9jI0NN1I3Ghks1ecTbzypBThrBoNps6efKk93fWVddaDRHCrWalMsflGvRA5HmDr9p2MfzfOtTAyaw7kCSvsoiehZYzYAkHl0XcsYDfwrEsx3OBFaStZkXoJAnADYwhrrIWc3zLexCAGCsCovA1KiKsYIpIBZdGHKPigMSESKTVC5tkP84D0RcwtslkUsvLyx7n5licn5tQ6wp8vcBPmGU8XWESWCGQceQ+Sy03LBIC3O/z21dILWHqvhNlfW7vsiKSXvnEqbYkDPiOdeqxFVAWuAoQ0GadRoh3haev7F/QIwtVDSUieubFLY4KFy0UCl4SKM80Y+B3TdbpIJ1Oa77U0P/47EOeZegPXbE6eY1kvmdcIo2mY/ofnz+uakN61Qf2663P3KrHX5T1xpCkP5KErfDJs0hytd1vsV8ikOzODTgQnY1gnpBafNLae64noB+UDOvyVN4xkh7d6n1b3bUeBAm89llbi9vSWsHcHWI1zmZOKYW8MkQ7XK2R4gfLH2zyDwFEkttwSHGBWwpBPVuta3klRTj1el25XE75fN5zX7HFO/QAJ/htk7v4fooM/ECSl3VWJPjtwiaS2d+3Tp9+FvI2AZ/guiSPA8ENmbfRC6VWj2pbLY+tt20XZ5NY0RJJqKRaHE6JVsmYAdsaSWpVrcMBrauT6yTZz/pCQN7lRJFIRIon9cdfPKp/f3AlAfEJ24b0mlsmNZJq8V+rl1lnQP7udy6sTX7/xnXZ5MFKpeI963YvRfAarcZvDcYByiZsMLfaJFnAfsS6C9ikEN4zy2ttxb+9Jvg+n6fQqBNf43x4Z1wHUuz3sfrmvUSnd9up2qRM9ls4RXAtLhcmqc5vzhh0YNy26+oV1n2KvarVEdfDh9F5O8Emntt2ZTapZVDjFDQ2dr9HMtQgEjw7gX3yoNoPnStY19WWy2Xde++92rp1a+Bnut08WyUICPgQdLjhhhv0qU99qu0zn/rUp3TzzTev5/RDXEBoNpttgXEImLuwItZILes7P2sO2+ePzTdk1labstBTpcOfrRACAWo2m20W7XbxpuLIikscm8+zaHKuVC25tiOJRMITCCV5f8YuxvYMh/gODQ15lRaQEshOPp/3SB0LOQsViw7EEBJiK+gtsSDAjJDq9vGuVqt64kUpXTK50mv8H75xzAukMybcGwgjJJexZr7huGS6ct3Y//W7UUXcQwiDCBPct2AsEOXoy2MtpLGRJzPV3VzwrASBYDCJD2QV0lNpaGjI25DbZ4HnUJL3eYLzPG/2mbf2RIBNzO2feMT72Vueuc0jIAjctgcp4uG/3DOvLz1SUDwq3f6UaU0Pp9vIMgQvqB8MAivPHNV5FgTJ2fTw7rqfhWSyUYS0Qo7tvbd/Z/MS1IcQwXQQWCshs/NTsVj07iUC81rR6bro+cqf6UXG90NybWuB9SLoHljLKzagJD5spCVlGBjvjJBXhjhXYK2nWdNYTyzgZ7YaB9cVC9euu1wur+ofbZ9hhBvb35GESI5NENdWl0vyKkfgdPaaELmklgUlPI3As3uNWGKS4Iddnxt4Zp61fc3hIvDXSCTiJemx9mPHKbWEYq6hWq16gip80HJCxDKC3VQn296BJKOyL7BJUlwbny8UCt742rXc3VPAqeHSa1nXbMInXM215gTce86FcbD25ly7tSUF3c6t2Wzqvd9ccUh4+iVZ7RqJtu0n4Iv8Hz7MvoLET54NXLwQ+HhW4YL2ffh/31nZvz3n8lENnUrpz2QybX2qs9ms52yE8OxW1QP4Z7FYVLVW15s+eUAni3XtHEvql2+aXDUW8AKez++/bFJ/8OyLFItIjab02588os8+NN+WYGudmSz4GXsV9kH2meT7bd9P20/cD/32BR804FOItsyPts3XRnyn3X9gp8+cZavFXFF8I+C6JTF3B+1XBoWQVwYj5JQhziW4yZZoLHbuIphmne+CkuiYe9B3mBfR2NA5WH/QRggkoxlZrZK1mjmVc+N48AKpVYiAhggPQGuDq7jtA+F38EB0VPQxG9y3lbFootbJkfebILikNp4rqY13YlVvA3Eu70MHojKYtZpETQLgUquQgvuDuwx8iaIM1nCqkS0YA1xYuIdrWVtsIlUmk9HhpZpe9f59+vcHFxWNSC+7fky/e9u0RtOt74rH41peXvb0M5L40Lv5u6sH0vazE+x9RHNDH6SqHF5pj2n/nslkvMQG9kbwEJ4/Cs+AtcjmOFZPt+0SrUOs3fsB3h2Sb5vNldaQ2Ww28Potv7OFUYCiMXhlqVTyHKos4JxWp2fvaFt5Wo7J9bJn84P7+TMB3jk0YPY01lp+0ECbl+T1ZafQzxZQsa8flDuQ337BTYLm+pPJ5KqE40HjQuSVfVWM//qv/7qe97znaefOnTp+/Lje8pa3aHFxUT/90z+tfD6vt771rXr+85+vrVu3anZ2Vu9+97t18OBBvfCFL/SO8bKXvUwXXXSR3va2t0mSnve85+kd73iHHve4x3n2RK9//ev1/Oc/33uRX/Oa1+infuqn9IQnPEFPetKT9Bd/8Rd65JFH9Au/8AsDHIoQ5zOWl5e9CccGAd2XHmELwoWo5wICYK26IXkumSHD3xK/IDsjCI4NjEPcELIQFTk2wWiyOiEYTOxu32tIgvu9rg0i1+72saNnif0dm91nraRt5TfZmATG/SqTuHZLOCFEkPRGo6GXXjem//G5Y/rQvYt64XVTGklFvcXDZqECvtdaVCJgcC9dO761VPpyjyApfrBCMQQa2J45NmvWZqVK8hWmLbh/9j5ji83127Hn7wSVCRiTpUjGLEkWJEIgOtnKMLIt64rp7qMr57htOK7dk63nhSA7zwdZtHcfLelvvrkigP7XGyZ03bacV4HG2FBRFFQJxPja5IygsYI0WucEhErGCpGc+8A7RrUPn0WMhZxCpN3sZwR424O7H1gCTab1Wsih7VHVb9Yx1wYps9VwncR1NnHWKs32kWXutJvX9SKI8AeNGfcY29K1VPp1AvNjp6SWCwkhrwxxrsLaqFurNXcutUFW1jC/uT8ajSqaSOm/f+iAdo0mdOl0RhdlpT3jSW1Nt+YxW90DN3DXYisw4vbC5/ld5kDmYIKSiErWMtJaOSLM8ftBVcZUzAC37zSwVTG2cgHBET5MkBWxhsRN2sMQOHS5F5X5VJdTnU6yKesx4hPXZIVXEkJtJSy8ya5lBGrdZwFRzraa6RWVSqXNsccP7B0IxtuqWGsbas8f4dby90484KuHq/re8aLS8Yhe9tgxSe29pe0zxTVLreonRHQ4JvsmKs2tywHHSyQS2jtX0bePlhSNSD923ZSkVs9F2xIKVyprJem3djNWfO6v75rRt4+WlI5H9LtP26qJkaFVex5cFxqNhmfDf/lEXH/0nK16zSeOqFKX3n7HjJZKdT3nihFls1lvbNkPVatV77huwN4mztggHaIq+0GET/d9W0vPbguXV64VvMuug0IvQGC3FYv8ftC18fxls1lPtJTa97RcU1CSxFrgdz5BbkkESRCrEfUHWUl+IQqYQQg5ZYhzFcwVkrz10CZxu7DWv36aE0l/BNhdtxk3kc86ZdqgizuPE1DjPOFP6EzwNOZy1gQ0SWuxzXVS9ADvsoU+wPb4BazntmpdkqcHMq6MIedBsgsaLdyTuZpxCnKvsxyEQCguNYw5WoblzZwP/NZaqlPhTBGIbcNoq2RtEQ2JDP2u/7FYTLlcTp97aF7/8z8Oq1htaiwd1W8+eVrXbUl718j9jkajWl5elqRVz5Jtl+c+q3bf4QdbpQ+sM5SrzRIUtG0NLY+07ZVIfiDxkmfSBoPRLPmzLbayuhb3KoiDU7BTKBS8ZEd7760Wz9hajgOH8QPPQzab9Z5R2xoBzdtyfM6He2U5Bzoz7yzJLn4xibW6KLqc0u/4vYDkFrivbcnYC7jfvCPEaqTgCm1riV8sFtuSpLlfvLdBsYy1wO98gtwWrMOZ3VcN0vWSuM2FhL4C4wcPHtRLXvISzczMaHp6WjfddJO++tWvateuXSqVSrrvvvv0t3/7t5qZmdHk5KSe+MQn6o477tDVV1/tHeORRx5pE6pf97rXKRKJ6HWve50OHTqk6elpPe95z9Nb3/pW7zMvetGLNDs7qze/+c06cuSIrrnmGn3sYx/Trl27BjAEIS4EkIHJxrRT0NMSmk6VnUzUtmLBZm/a3uE2W03SKkFKWt1XhwAS9kf2O+3iRoDOWgJR3YAYwOLYafK21bJk7fmJSrafnyuIEry0AhsLIZXRkG2/Y9vjMUYsYtb26SmXjGnPt+a0b66if7l7Vj9x3Yg3ZrbyHoJif9ZoNNoSBWKxmEf23HPoFxB0SJ7tr8eCbHsvIpaRRRtUCSS1xB2eIT8iTKBUkldR5fesuxadCL7cf/sdCJa8C5ZIYd/F81YoFDzS8LpPHfO+7423Ta86V/su5HI5zRbqevsXZ9RoSrftyeo5l+dWbYIQxrFltCTYwgYHCFKzIWN8eG+wd2Qj1kmw4h3D1YAgPRtXNkcI7n5zRxDJCYLtxcm42Xu6noxJ2/Oz1+C47W9vk3v4/aBANKTY2hJxPBwaqMAgG3sQ8LsH3d5x25ver3ftemE37Bc6Ql4Z4lxEvV7XyZMnvbWgkz0vCZN27g+ab/edLOuh2ZX/PrO3xUtG01FdPJHWzpGYLp0a0q7RiraPxDWaax3Hby1wrYOZZ+13M4cjBjE/slayxsOv4B7wZL+5lPXUbTEUdN1UdWPrZ+dgqVU9ZCuDuB4bjHN5hhuwJSjOmFheyTqOWAUfsC4icCqqiEiIgEtQXS61i8l2n9Av+E6qla0DANXfNvmCe0zyohXbXcBpOiEajUqxhP7iawclSf/l6hFNZNrlA9vrkFZScBXuuW1lw+/AJUgqJXiJwJxMJvXP3z4iSbplZ0ZbhhMqldrbFVlYFxhEZVuJ5j77X320oH/89sr+8FeeNKVtuWhb0iBjRKshvgNB7KptQ3rvf0nrlf92QIVqQ+/+zzktV6Ufv6Z1fnAc+37a55TxYR/AOGLvyffxWb/gq9vbuxvc5OxB8kreDduqqhuslay9P9yHTgF2hEkrujJetmfroNrz2ONbdKvYt4H6QbdYYu7bSLejcwUhpwxxrmJxcdFbf/zchyxw77HOi27VtdRyl3T5E9ok/MJqizYgSVIgsE57UmveswUFJCG6vIMETtrp0EebuZvijKA1Az2EgJt1VHLnVCp+Ceqiz3AeUnvBiC0KIfgWlCxoNQSbfODuA+z9sBXjVIsTMLTBbxxG+DPJqfb3pRZ3XUtCXCKRULFc1V9+7bg+cO+Kdfq1m4f0+mdcpKlswhtL97my+5igNRkXK/49aE2C51ClH2S1jg5sg39wbdt3nWA3Dgs2OA1HxnnKTbqApwXxAzRHEiZITrBOCfZ3cTTgGhhzy+XcJER4k01k5h7D5dGqCfi7CbAcg3OA/9JCAZ2fwC8JA/Bti361SpuAy/UMkudwf9zYSRBImpbaLddtYY/fcdAq3b0zGj17fhJ8bHHPehCk13daA2yyZ78FTr3gQky4jDTXk2J8jmFxcVGjo6NaWFjQyMjImT6dEKcJ1WpV999/f0+ftYuGhbu5d7PYbIa81OqrQ/UyVd6QQkgoEyvHtJOatTiyAUorVtqJkMWCc+118XCBqEefPgtbkc51S+3VPyQfkMVnq4uZ9KlusMfqVHVEwB+SUywW9eVHCvq9L5xQJhHRe15wkYZTsbZKKmvNyf2xJBfhzs1WXOvi4m4kgo6BUENWrc1I7FRNlM1mPZIDAbLW8ARpsVG1WZOSfDdb7nmySSkWi14iB9adtockGZBuoobnDlCp64X/vCKiXjQc1/tefKkk/0U2k8loYSmv137qqO6fqeiSiZTe/qxNGsu1C4A815CaeDy+SsiXWqScIKutvCHJJOj+cA+5ZktgqWaxvYj85gEb+LXkXFq9abVV+H5wj78RcCvGgogQgX7uPWTdZmJb5wyeS7/sYcbJBuTZfFMNOChC5nevexlX7F8H0Y/SxfT0dNe+g+cCLnROdaFf/4WM2dlZHTlypOvnEB1cFxi3mpL1aqlU0z3HSjqwWNf++ar2zhZ1eKmmhs9OLRqRto8mtWs0rss3ZbVjOKortgxrLNFoO64VqKjeIXDFOZL8RjKQa23JXB/UW7wTqA4Oct+gKoGqB6qM7Pi4vbKx93S5m600RbDwCxjC+1j/3LXPrhs2yEzFBqK0FT07ccD18HFErCAhh0oK1k+/fUEQrM0iCQys8XCgdDqtv77zsN73rXlNZ+P62x+/WKl41Fvr7boPV7L3zgZhuR54PXaZJCoibBLUnsnX9HMfOKR6U3rHD27RlZuGPBtZ7o27RrtBACs42ft8eKmqV3/8qPKVhp5/5bB+6aZNnvgGz7ROD1K7kG6Pt1Cq6Rc/fESL5ZV373lXDOvnnzjhXT/VQq5VbDKZ9KoyuA73WXQTsG0rI/5uqwy78aeNENAs3ESETlUstl+inZ8sZ7ZcP8ipwrpV2b2V25prULzS1QSCRE0XbpXYIHHppZduSCLn6UTIqcIxuJCxd+/enuZm5jvXedKd2905D/2xWq0ql8tpeXnZSzq0gVeKLAhaExSSWr2e7XfYCmLbN5xCA1vIYc+RJDm/SvBex8AmBVq4LocEVN3iEns+roYjtfqU404StH4yXm7AzO0lbiud4YzwHRIFrfuITZyzSZ69rjkuotGoZosNvfVzR3XfzMqY/9hjRvSy68cUi7YCta6+a9f1bhongWuCv5YPoC+iI3EdOPHwvPDs4iLjrpk8v3wnerm1/+Zes9+xrpvWtdE+CwSv3eeRYKjLJeGt9l6Q2Oja8bvak026tUkpvDedXHd4ftznn9iDfa5IJLEaPHzdtjmwFfF278B4Br2j3fTrQcA+c500PPR/Atx+eq37bAfxSp5J3Mmsi4OrE68Xfve6F65uCwEHjWQyqcsvv3zgxz3d6IdTDSbNIUSIsxi2t7gfCIbbvoQumPCxV3c/Z7P9mdhslbe17uZnNqDEMazVCIFvK8RAUsmAtJXqnBPBw35JpntMF34VORBIO3kjTFrSShWQ7S3O+fJzfsdWRlNlDdGy53rTjiHtHkto/3xVH32oqJdcM9xmIW5JCoKczcJDOMP2iM93qrQGbtCPRZhrofrJL6jG7xLotmPJ4gzJs73BEWNtkoUdD5e02eNyjpLarPjdRArAWEFSyWDkHCAVLiGjyv/2T7d6i7/p6dPeMwXRgvhh5/lXd53U/TMVZZNR/e7Tt2o0m1wVUMW6i+vm+UL04ths4hg73j07vu4z694bVyhHpLcZllSW2XsltWy6bDYvzgBWSOf54d/dDa61BN0ouGQ+KLPX2przDknyEl9sT8lMJuONj18GLveCewb5H7RwGYQgu0sXXAMbBt6jQdiqX4hZmCFCnC9oNpttfSBdUFXBmhlkg8Z8Z/shZ5NR3bgjoxtPfS6dTqvaiOi+I/PaN1fVI4s17Z0tad9cVUuVhh6Zr+iR+YruOMB3HFM2EdHu8aR2jyV1+aasLspKu8YSGkpEvTWOxEdrd0dFg11jWa86CYKdAHcLEhIRyqyAhUiKUAD/Riwj2cxWaCL6IGBwXVyHFcJYz+Fo1u6P87AJAm4PPtYt1gXWL9Y8BDr3WrvBDbZxrd0C3bYiLBKJtPFOO45WDGJMqDjgXlgrVewWZ/NV/b97VtoGvOKJ00pE5QlDiGsE5C1v5WckEVirdM6n2WxqeXnZq4DhPeA8Pnz/kupN6bqtGV170Yh37W61GjzZz/UHzmoF71Ktod/7jxPKVxq6evOQfuZx4953w9+4NiuqptPpNvt9BOBRSX/zY7v08x98VCfyNX34/iUtVer69Vum27id5TjWQhUexri5zzn7AptomcvlvH6agMRum+RqsZbEln5hBXSSwF3Yah4ScxhzmzDJPfELcFu+StKr5fC831RVDjLJ1A3E9FJdRYWjTezwE+DXCvYeIUKEOPcQxBWBq6n5BcyoXg5y0/OzXmcdYq0hWStoX+62seOzNpGcRE8CZlZnsPPwWop44IFBVct+TkZwPzgWQUo0QIpGWHsAn0fHJXDI2uXySrgkxQGsacA6yMBX0IGs/ofNuq1i5zutG2mQzmhheWUkEtF3TtT0e587rIVSXdlERL/99O16/OaEr+ZJ8VCtVmu7R4w7+gicjQSLoOpeG/C238G/UcBkHZvsWKNvo7XCefndVCrlaaEUonFuli/Y45DwILUCpbY1EQkoroU3DlhuIgUJrHA59hEkALttXnjH4Hc2Kdh10AIc02++INCNts332Cp2NHLs2BkvHK/cJGaclux4uudzOnWtoGC0fR7cz9iESfRHgujsL23FvSRvXKwjpi1GG+R1+7lt9qIBW32Se+k6Y60VOLP2sn89XxAGxkOc12g2m76BcRu46mWzzIaTXuF+wMqO3tF2I86ky58JQrr9SqxoQVCchdFOdHaB4zjWxh0hodfJkeyxIHJqK4js+dpMN9tbxf6brWCAsHJ9LDR+fScRVxDnIEde1cTQkF563Zh+7wsn9K/3nNR/uXZSzVrZ+x0EOuzSqR6wYw/RsuNHxTDE1F2YWESxWZJaInMul/M2Fvl8vi2ADSG0wWVXXOFekwxBwBSi6QrXgGwxArCAZAbb3wnijnhGZi/3ygY3ybC1fUa5b9wPVwCeXSroO6d6i28fiWtLrtWniucHsTmVSukze5f10QdWsj5//ZYpTaVbQWEbOEAgt/22CKwzTryjdtMBmbOZtvzcZui5m0g3eA5RZrNnHRUgTsC9P2QZMsaWfNkMWRsg7zWAux7Y+cbPQp4xpMJlaGhoVWYiArdNjOH94LqD+qm7BJOg+yCv2/3eXgkegret8rL3eD0YtI1miBAhTh+KxeIqrtRLMNzvOLbqwQ/MhddtH9PVW+ttgeR8I6H7jy1p31xFjy7WtfdkWY/MV5SvNvXd42V993hZH31gyTvW1lxcl0yltWc8pe3DEV21dVRT6WZbUM5NlLJiDWKinzDih26BdMulLKj6gPfhhkNymdRyMJHkBacROaxgxTi76zz/zvgT6EYkRiyDg2AjSSALAYLEMDtOUqv/G+Nlk1v9qptsVZDlLhyDgLu73tqAYTQaDQxC2p6a/D4JBAS43XtKEO+9X19QsdbUFVNJPfPyMW/MpVbFF+IM3M5WWMEhOFdrj40LD8kQOMc0m00Vqg194sGV5/eHL8+2BTsB3J1WUSR1uoBHstf5sy8f1f75qkZTUb3hmds1momvEpQ4V+sihtDPM2Sr65PRht77ozv1Sx98RI8u1vT5fQXlqyf0hqdOe+fhCp3wPqm1z+I9JFmAd8GtCiLoy37DvkeMvQ2Q28SHjYQ9T785wDpEwPlcvmv3X4jLHCeo+hxBlHeMJGCScQfZnseds3rhrDhw2T2c7Sm7XoS8MkSIcxd+WmUvwXALeEo37mU1B8vn6FfNZ6gwd4OZ7loktfe8te0E/ZKILKeEZxKE6QTWiqBrQ7NizADaE+uvLeqwDne2Lzgamev8SWs76/wBZ+O67HjZe1EsFts0uKGhIa8S3Ab8cd4k0IymSbU1SauWh7lapXUZSqVSaiqi9911Qn/3rZNqSrpsKq3XPXWLJtMt623b25vgqF8lKwFeqfWcUMBDMJtxdu89a7vV8Rh3NDx6YttiEqvTMhbwOZ4p7h3aL/fAb3woYuKZtc83+jDvnN/7BK9HF2VfZrVr7g/8Bf2MYiOOiT6NFmb3Pm4LKsbIHVd4M3sFXLW4dpKHeaZ4ft33hIQEv4Id69hldcGNDoq7iYduEJk9B+fEGNq5x01YRp/s5PRqdVqpVRi0EW6ebmFSr9+BVm33LsSMBsEJbYLFhYAwMB7ivMby8nJbphzky/aa6RVkU3WbaKxNDgTRDYbbymm7YNsFCtKIPZGd4C2hteITn4E0QWrcY7voZHUHabOTIySACplqteqROcZZarcpIQiLcOVmomYymTZhslareZmKfB6Rh2xEWzX+z98+oZdeO+JdKwTAJjUwzpYYMLYEVq2w5kemIP9kedqFi0WZMeeZIWuU7+TfXNjkCggU99KONePm9s+jWprzt5UyLLrWXtLaoPtV79qEB5vJyrlaQJJ/61P7vJ/9/rN3Smr1lbR9AOv1uu45OK8/vXOl8u4nHjumWy8Zb8v0ZSOCoMQ7i0DN9XNPIH62Cs4KxRA+21dRUmAfKQg/84UbLEfAz2azbcdzQRY3VS5uBRq/azerGyVyQZRtRborTPKeklXLudp2EdwPqvjZyLmZs1LrfvG9tmoxlUopkUi0WWINkmRbIsw98IOdt3ADcD9r34f1IOwvHiLEuQtbLY5IZUWOftBrQMS6rhBIGU9H9ISLMrphW8vRo1pv6ngpogeOLWvffFX75yo6sFDTbKGmI8s1HVle1hf3E4ifUToe0c7RhHaPJ3XF5pwuHk9q51hCQ9HGqmRJeJ/9c9CaZ91d/IBwYSvREbckeZwT0ctaMlMRAae2m3bbdkdq2VCz1sFjGFPr6CK1r+FUTvFnXKUsf+V7uA6EWdujEdGC8/FzdGKdgv9ZjiG1B704V4Qr+1k/AcMVaO06Zvk94w6XbDabOrBQ18fvm5ckveKGCe/7WcPsHkRSW1Df7m/s99ne0wTC/SojPrO3oHy1qe2jSX3/5ZOqndpnWLiBcnfNtgIez+MnHlzSZ/bmFY1Ir3v6Nk1nEx6/psqd8SiVSt4zyb/TT9QmZoBIs673vvBi/fIHD+i+mbL+82BBr/n4Ef3BD2z2At6I4NatzNrTWp4VlEhBRVC9Xtfy8rJ3PHccbYAc4Tqodc96wHNtxTksJwH8jzFgHrMtoeC+JOkimNv7zn4SxysbWMjn814iiNRbwLpfuPvxTpyQc2XvR/I1YCw6Wab2ipBXhghxbqLRaLQFxm27wX55Za/aAeu0JE/DcNcat1Wc5TvM33AWtI18Pu+tW+gZ1nXFup6wDliHv07Xm8lkOlZIw0sJgHOurD2lUskLFNvEM2u3zO8RvGQ84X1UK1teabVLeyy/+2eTvOC0lvPZ8UHbsjoMeiDcSVqtVRKghw8eXyjoD740q28eWeFHz7l8RK960ialkytJc/V63UvaYj3lOoKCn3A86+BCMI8gJPcWHZvkTb6DwLStiCfw7bZJslXN1pGVMee73NY0HNOOvw1C+nEEl6P7JffBXfh3eAdjKbUKaXi2rfOADcii3dr7bLk82myQhmWTOUgCicfjbUnX8H6bCOLCFvvwDPkVhFi3WkltuuogYVs9AXeOYB/EediAMvMQOjxFR8Rh7Fxpk2b4XvYwNknGvqeD5JduYLxTjMruP0jasdfC89CpVWevGFQP9XMFF9bVhrig0Gw2dfz4cW/htptrCEVQMDgIbhZiJ9geH7YvspvBZAUR24fFimtkQAE/IYmeuLYKU2pZ2bE4Q0KsfSRBZzbwTKZUkrAIQobJyCQgxmIRRGitPRGijw3uWjsjS0IhNmz4q9Wq1ytakqKRiF7+hE1646cP6f3fm9fzLs9q01jOO1/GggXGEgsqLbAKwtoeO3yb7Qd5tzbdbh9Fro3vJVvLBp+tcAGx9ROqIMMcJxaLeQIkP7cEh4puAsjWApwxdLNsyZZEFOYcbO8fMi8tMbL3y4rOhUJBy5W6vntshSjsGIlr60jSI2okefDMzywW9NYvnFCl3tQTtg3pZ75vi0qG8FnhkMA8wjniF4kNEGrrUuCSDK7DEkVEtU4bMsRbnkvEOARwBGRb/WQJiq1m4jt4LvzIqd2sWpI3CNLJ97uiPBsKzpfz4OcEJ5hjeD7Z5Nrft9/De2Srxvw+gxOA+5lBwM63QXaXbHI6ZaSCQdyHUMAMEeLcRLlc1sLCQlulLnPMWir/qI7ohVciPBKUJUhn581ELKKLstJl12xqSz5cKNV1pBDR/ceWtW++ov1zVT2yUFWp1tQDsxU9MFvRJx9qrY1TmZh2jyV16VRal0wO6eLJtLanWnMfXAjx1vJKqn8RiFgTXbcggNgIt4KTwXP9xpQkQngPVeWWV1rLTObcYrHojTn8jgoOyzdtRQtjb6/bthSxyZ5YOcJJWM/5uRVTSKiwoqYfD4GfUxmM6MXnXFvTIC5jnwecnHieOL69H9VqVX/65aNqSnrK7qyumk55VfKMlftd3Csq3SStujbrAoUgihDpBQpTaX3ge4ckSc+/ItfGDd29A9fC9bvPid0r7Z2v6c//cyUA8VOPHdNjtwx5CY62sp/ztw4JNqnPVrzZ54Rr/t8/vEuv++Qh3floXg/MVvRLHzmiP37OViXj0VWuVrxDdv6wVUo8y4BkWXikdb6S/CtNbPLCIHsSWkcwy7XY61qLR8Aek/fQWkFKrWQL65hlrf6pBkPY5Lps5ReBEOvqNSi4gXE/HQHuzt4F+CWAIJaHgfEQIS5MzM7Oes4YNrg6NDS0pqSZfj6fSCQ8ZzT24QSj7H4cLYf1ywbH3HXX46OngkquPbGt/GXNs+uoba8Br4zFYm1JYASVWZtxUQEEtVOplPL5vFKplLLZrK8GAmwxC1yEoD7aGMFdiksktfEh+/1Wh7IaqNSyDve7dopa4MCskQTr4cq2ctt+D/yoUCjo3hMlvf2OWc0UakrFInrVjRN62sU5NetVNRrRtmA2vNq1o2Yc/dr4WC6GHodDI+4F8F6r89pAOGu2tWi3IKnSJn9aq3q4AImZBHThOJyXm5gG7HXBGdjjubbifjqS28YI3ujycb9WJ4w1f+b9su8w7yWcxnJVQEIACcXWpckmz5Ks4SY72GRnCoIAz3+nxJl+3MS6Ab29U89t254JjmyTpq1TrLWUl9pbjKJ/87y738s7jwbtupFtBNykUuC3zwkqbCyXy6t08H5B7OhCQhgYD3HeYmFhwbM1kdoJHtWLBBZ7DXj3OuFbAgG5QuggsMwEbsU1G9B0JyP7d36XKha3etklFfZc7DjY87TCiaS2LHe/Y1nhUWqRPvc41m5HUhvZtQIZCxwkgYw1gnHWCgYyGIlEdNOOivZMpLTvZFkffaioV9w46gUyLdmQ1CbUsAhaqx3+zljS98XPvryToJ3P59us4rm3kG6yS6lItpW6kB+7MNqqcILdkE9si7BlJXPS/h6E0oL7whhDarnHEAE2F/a+A2szLUlv/Oxx789vetq0dxxIMs9To9nUH3xpVseWa9qSi+vXbplUxaeHjtvXiup/iA7Ps62m47zsveV6l5eXvUACBJVzC7JLcrOAqfpw7eetjSmfCbKHBDz7zWbTVzBDbEf8XKvdYre2CraCyVrv280s7yabUK4TQRnY7E423CRf2HfFrcSzG8FBws5fvH+uXZjfuPgFwG2VPViLXVEoYIYIcW7i2LFjnuDkcjSbyERgtZe5oRf+yVxqLRmpNGA+IaHRb34ZTce0eSytKydaCT/1RlMnqzHdd3RJB+ar2jdX0YH5qo4u1zRTqGumUNTXDxclrQQSE1Fpx2hCl0wNacdwTHvGE9o9ltT40OqMfniB218wyNKYTTzJePAgvyoJP1ciy4cQdUikgx/zH7zb3iv+jwBpLUmt3SecqlKptDnbkPjHPbftN1wxh2RZzt9yqKCecvBqOLsVH0liI8nWFb3glXbt4zPYV9JD0VbTfOWRvL51pKhkLKL/+n3TymSGVgU77dppOaqt4IWXwXdtBTs93jkmz8Fn7p/RsXxNI6monnZxtm0s7HPEeFiRHuHPDRAvlet6y+eOqtpo6sbtQ/qxq0fa3IYsd7EWk/AS+KabbIf4ZoVZSXrDbZv0B3cc02f3FXRwsaZXfuiw3v1D25RJRj0uy2cRHuETzDEkHbpWnda5yfbglDonR9hniQrztSYjptPptvfAAnEXfsj75fattEktvKvs9+z5w4H5bKlUUjabbXOhcnkoIrV9vgYBN2nSDSK4Tg4Wfufh1/d9LbzyQqvsCRHifECtVtP8/LxvYAkdjPml1+RLktm7fdY6AvJ9NohoA8/oSNbeWlpd6Si15jmbvGetm60O556LpFW6gtSa31xth3YU7hxqXYLQ9+BBcEX7O3AoHCQ5b6nFv63Dh9VE+H1bAMU6jaU1zoG2D7J1L7RJZtxDdBE7lpwP38N3wD3gaIVCQR+6b0nv/cac6s2V1oa3P2Vau8Za7Q3R6BhzyzNsANC2/rCOpzYADVfBDYpkUzi5ywPh6BTiMCZuoYWtGoZnUXTB+2KrpW3yMOiWBEjAHj2PPQzuRrYljbv++yUi2jaeQdXpjCXaJrD7Qasr8ryQROAHW1DH8+6Cgij4M8+L1fNtX21bwNeJV3ayJO8HnX6/XC577ztFdm7yK+fLvEXyjd98SMIl856bUCG1nEtJROEZH7Qbkb1X7ljb56/T71m4vNKdc3rBhahVhiw6xHmJer2ukydPrgpmWXs8qb13di8BGT+yaS06yIJz7YQJxJHlZckABJMJGTJqBQ8WVoKqBMtstQKLIQspIl2nKsxOYoGtBuV6LSliUWVBsRYwViRwA2x+lqNudqitvHVtifi8JdwvvmZYb/tCWf92z0m98LopZRPyKqm5b1iPWHtue5+ooECYJXDqViL1On62qgGixXe6Gx9bAcOYNRoNL3EAsksyAPeiXC63VWGRIUiFOeQUcgPZs6QBws4iSvCWjYZdnF3CYK9/sVjXfTMr17VzNKFNuaRHtCHNnOs/3L2grz2aVzIW0W8/ZVpbJkZW2WPZPllsWKRWMJ53w8K1krLAioh3mJ9JrXfG7366NuuIdtY6FCuqeDzu9QMiEcLCtSKz4nwnKyLmg272tX7gneq2QbYZqjwDNnGIdxIxHnEeYo94zLvJ80gvUa5fardrQqAdRPWS37XbMWWOttVa/QDxlmcRUdmv5UInhAJmiBDnHpaXl72KY6m1Flhg1YYtWy/BDT/uCUexwpmdywiKI87BI5mLbJsMeCVuJ1bYyQxJO8emPLEpk8looVDWg8fz2j9f1aNLDT00U9T+uYqKtab2zlW1d679msfSUe0eS2r3eEJ7xpK6cmtU06mmkrHV1nBWzOB6mKcR81gnrSBo104/EdRvDBG1AJn/rKcIdrainXFz+R6VGLbCyVa7Whcle59YIxA9bcUC96aftc9a+0nyks7c5xDB0yZKICByPnAumyiMILawlNd77lpJiHjhdZPaOpLy7pWtsLeVsfAq2+eRHpeMaSwW80QeEketGCytvEP/9r1FSdJzLh9WOt4uRJI4IbUn4jH+/NxywEazqT/88qyO5+vaOpzQq2+eUvbU80UVErwnaC2HO9qggH2G4dW2ZdNrbpnWRHZR/3LPnGYKdb3ig4f07udt1dbx4VWJm37c2orcfgFXG/S1SSLwqk4cB965FpHPFa9dWDtQ7r/bu5VEZ/uMuMFtm2DE/MQ7hnMUzzSBAp5RG6AYZMKlu7fguiStCuj3At4B5iacwcKEyxAhzn+cOHFiVcWqLZKBC+JQ1ytcC2KSiwg62wQr+xkbALTBYqsxEugkMMl8zr/bJD4CMlbrRKMi6LmexCXrfmg1HQKDrAlofMy1bvKcGyiX/CtC0TsJMsGd0OPQCwmg22O4xUduUiuFLYwP66g9L/YX6AjWqt5rndmM6g/uOKYvP7Lye7ddPKJffOKoMonVTnjoN9bdKKiQgushuQAHF1z34vG4lwxpEwbsWFOQQLKCfa5JekPvpTjHVv8yJowrAXL0UjT2fjQZ7ivXbPkCzw3PtPtM2OIngrboS37FFPa4bqKl1HKQsc5g9l6Q0OqCxBXXwYjftW5Vkrxnhs/b87SanB1nv0pzF2itQQU/ndBtP8S7x/kzv1gLdKnVI97ukwBFfYxNKpVapUGytyOpxtVoN6LVpTsHunvgfsaSd4S9FgkTQW1Dg3AhcspQnQ1xXuLEiRNtLz+LJuQDsklQtx9RgGxKJpsgO22pZYnDfxC1UqmkXC7nkSebPUlVK4FtK9hAXPwWJmzGrSWIDVK5k6Frz+cHFh7OEyGLRQQSiGUOQTPIddAYubAV2bb/t4V7jyCV9Xpdt102oX+6Z0l7T5b1/+6e0ctvmPLIG9VGboYr/cQZR4ibW43C89FLlqB7TQS7/TYgFghuiLO2gseFFZWsNTj3mQXQ9ivk/ttnwSZZcD9d+z9LFroRljd+vlUt/uanTa/6d8jMfx4s6B++syBJetWNE7p4IullQttsTVvFTSDWkhs/YkKmaqVS8a7LdSKgNQCbFoLGvF8kRPAcu+8Z/d85rj0PgvnSapLjN34ECtx+SEEoFApt9l1kPXeyWu9Uac47ivhqr8XabfJz63DBhjiTyXhJPwidQeTLBgmsbZsVAQYJP0GUuXgtQqkV+N0M335I64VINkOEOJfRaDR0+PDhtvfcWghK7QG7buKBhXXNQbzoxC0QEm1Wv9Sas+38wvksLy976yFcVGpZNlcqFeVyOS0vLysh6TGb0nrMprS3ntUbDR1bqmrvybIemilq78my9s9VdGixqvlSQ986WtK3jnLOs4pGpO0jCe0eW+lfvufU/6cyMU9IZS2D08C14Gq0SrE8hevvlEgGbH9lKwgDPycgxohkSqllVee6JbnclgRD67ATJHYEidzdkqxsJVNQVSrXRosgqnVdkRZYe1D2KB99YEmHl6oaS0f10usnvQpdvp8EU1qQwGGy2azHG+GxNkGUc+fPfhzreyfKemC2okRUeu7lw77XhvDpZzEutfgh+4n/+80Zff3QSvX7G595kbZMrJyvfe78xt8NglLJwXmQqMB9ICnZBsh/6eYtGknH9N6vz2ix3NB//eAR/e/nNLVlONH2PTYB1Lp8uSKxhR+/s9ay3cA7ABe2/wU9W92eUXi41OpDyntgRWRgeScJRdls1vs9ggV+gQsq+Oy/2TmwUz/NQcJWmfULztsmnvcrKF+IlpchQpzryOfzmp2dbfsZfNAtoJBaSU+9gHXAcpJO7jTwKrt2ozeiOaErUuRj10P0Qr7Pb30E1i1FavXVhlPYf7NtNDqBc+W7GUf2/KytNmGA8+1njbDFKGieFi4vIcFAUtt5MF+jvVH44K7nttUG+haJsZFIy44d3XL/fFVv/Y/jOrJUUzwqveKGCT3vypGO+gqJZN32LehVNohuk8FYv1xnT3efROU3BRaMq+Ws1iodzc21Fy8UCl5AGo5EgUq/4HdcbdfyE1tZTtKd37igL6OfuTbktgre7lG4Rzgb2GRH9kG8h7btIYU29jt4b6xDgXVk8HMi4Lv8xs86NHUD9wleKbUK5oJ+v5PGzDPE2LpxFvaJ9h5asEfhHhE0pyDIj0PzOeYV+Hc/e/t+4KdpE/vpFyRTuGPVr8Z6IRbxXHhXHOK8R6VSWUU0pfYAoV2ApNWVhb18RzeSZqs72bizaNkJnvMhKCi1gqrAWv+w0Xet1sigt/Y3tpLAXextFXO37Ce3msPtJQepxCoIEm174AQF79zzIluQ7L9u1pIc+8evHtbv37FSNf7cS4c0nGoRaTL4+LsNxrFxYKysBTvZj1y3RS8ihM1Yw2LJVsZL8oiuRZAojmhpbTVZ6CHIECbGDeGL4DPX6QbrbQ9LhC+7Wej0vC8W63pgduXfd48lNJVtLeSIxY1GQ0eWqvqDL6+8m8+9PKenX5yT1E7MsIO3/S4hBrYVAJY6ZAa64jkk2vZkcTdbtpLaFR2xiXTBZsBaFtkEF/uu2MB8p6SCfuYetx0C1+pH1joROOYnNh280zyjJE/YOdPP2st1zygWi55NqF8yC0k0wM7L/YxDLwja7FrrrW6/756TnadBv4JkGBgPEeLcwtzcnO96QAIec4rU3bbPD706WDBvMce6azjJnnAjK4ZYwZFAsQ1a+fFA+EM6ndZYoq6bdmR0046Mx/Xy5aoema9q/3xF++aqOrCwYsm+VG7okYWVPuZfONA6x2wyuhIsH0t6Vuy7xhKSqt68SBUOQg9rPPO5rRT1m8MJ8tp+hYwXVU5BvBLrUqqkEJDsOmerECyvoBKd8bVVVPl8vi0A6TfWVuQMAsK45a+IgtZxqVqttiXbdRLT3TWtGk3qH08lL77ixi1qVkteEqo9V2udaPkmiYe0G3LXR3scv+S199+7Ui1+28W5VTb9wE8sd9dqrulbR8v6v984KUn6lVs269LJtJaXl9ucCfzsuG2rFdvPHEHN2nXb62EsbPuDH70yq6FYQ39650kVqw394ocP6x3P3qo946cqvE6J3uwNEcqBrYTDecDtfWnhctFu8Jvbgt6VoERAt/ofDt9stnpA5vN5r28u+1kSGqxYLrUqsW0Sux/YCwASf5hPTkdgXJIn0HfbT9s5F/iJwv30Fr4QBcwQIc51HDt2bNXPCJQBgqlWm+oFzK/d+ChzB1zL8irWMMsR0JFs8QXzGWsWQSoC0y5YV9y9sJvsyfXjYtgtKOeueSRhumsCY0mQ0w3SBq2H1gYe7ZR7E+TyYdsAwputPTWfofDBdUSyejPnyxjbMatWq/rUw8v6s6+dVKXe1HQ2ptfeOq3rd4x15QKMudWB4JUEVRkjy3mC7odNjLPfwbix33F7WdsxZRxI/rMFbrRV4bwtj/RLLOkFPPu2dQFOW8BtE8q5ohWR5Gurl6VW0qZbfGT5gu3tbveCaMeMpR0/4LcX4rgkFvJ8U1leLpe9z9jAvJuYYrGWWIkLP+dLv6RHAA+1QX17rEKh4D1L7Htd54ZKpeI5GZCAwb7Qj3vZNltSa8ytVrqWdjedEJRUaeeJIFgnsk7oN+HyQtQqQyYd4rxDIpHQ9PS0Tpw4sWqSYJKmGpZst34m+n4ybmzlJBOqDTTZTHEqMuxES1ANcsfCR1COgC6LAIFkJjPXcs8F/96vlR4khEw0mx1IBp8FQpINHiKWQBjJ9qtWq94ixzV1GnOI5tMun9A/fGdBB+ar+uB9S/rJx455n4EQEDS118qCC+FEFKX/YVAWWy+VAQQCgyrA3SzCbvCz8EMUwmFAau9xznfbLEArqCOoWhJgbYmsaGjvB5nAjUZDr/74Xu+c3nhbe7U4ZHCxUNLb7phRvtLQVZvSesUNE77XaK1oeUY4H2vJjVjJpsH2yCIYbgVkzt1WSSOuQxLtOPN+2XvP82Ptw7FR59wg7oype/8Q8Cy5Wm/2oXUnqFar3rGDNtHuM2372WBtybhahww2zjxXzJ/0CYc8+sFurG3bBRIUrBWS39itBZ1EhEql0ta2wQZe2LSTBOC6j1ispVInFDFDhDi3MDIyoqWlJc+hxQI+5CaT9YNeXSeoACiVSl5FEOujnzsQYo/Ubi1uE+kI7tuAL4mM0WjUm99tn0WOPZJJ6/J4VJdPpbzvbDabmi3WdaQQ1f3HlrRvrqL981UdXKgqX2nou8fL+u7xdkFtay6uiyfT2jUa1+Wbsrp4IqWJVE0yAqIdH9ZgXJKkFZ7JfEzFhV1fuf5uQgO/i4AS5OZire6syCTJ69fH+KdSKY8PUjHjcr9engHWSCsK2jVpLYKgu2a/586jWq40dPFEUk/ZnvCux7YN4TkParVDgh3rLEmKrJW0M2k2m229Q4/mG7rz0ZX79SNXjQSes30e4IF+nOF4vqb/ecdxNSU998oxPfvK8bYESjge1b44E5XL5bbjsa9CvCRxUGolmeD6ZK1vLV5wzZRGUjH9/hdOqNqQfvVjR/SWZ2zSE3eNe3sP9kOufabl8+5+xCZK8yy4lSJrga2Mc/miH+weVWqvMLLjB1dl78E8ZB2IEPs7uS/Yc2Oesu5QUnuAZlB26kF6AfOG3XPAdZvNpueyJK1+T91rs/1Re8GFKGCGCHGuY/PmzTp48KBv1TFzJ5pFoVDoS3/0q1QNgg0eAwLrzGuAeRo9ww0CYtEsteypbUBQauk8cAmrv/jN09buvJ/WGHA964iC3ueXjEqCK3yABAC0SjiMDeSxZkn+1uv2GtCMgqpy0VeC7MzhJ1bnzWazmltc1l/ctaBPPLCS0HjDtrR+7ZYVvtGLPmHbQ5HUaJ8b9gS9wi+AimZn2/jYoC1/t4Fgq8lIrQAlHN+6BNgKassp7XV1SxKxzqjdEp2xbGdfgb0934UzrKt32wA3WqUtHGNPYQuZ+LnfM2s1WmAdcwiE8+5Yjs7Y+wWmLYcHg3B1JAGERG6+y++d9ntPeP/Q6eC+9vxddywC/zYxxbZ26AR4Jc8Y+rBfEsta4ZcsCWy7VZygrJ087yrzqevEYWED+73gQuSVoTob4rxDJBLRpk2bNDw8rL1797ZNEjaTzFq79TNRBGUYuaASGGLKwsVEZYNRto+M3+RI4BhRigWVxcGKbjbD0wKC7XetvSYGWEtKN6tN8l9gICvWEob/W2sdroV+mFR0uAKPm6WF3UwqldLPPHGz3vipg/rQfYt6wZXDyqVaVQR20WXsCObZ/jAsfnYz4odeMsWsxaQf+g2oBd0nG2TkvPhuBEmXeFDx4tpxksCA0NtpA1KtVlWOxPXg7Aqp3uNUi4NYLKY/vfOk9p6saHwopt+6ZVKJmP+1835hSWnFfoKmbFT8ghRSK/PZgvcD0sqx/Z5ZggzNZrPNNpO+XBB3RG/7XWx66OcFobL2XpZsDIpY8d1YDtkNgevw4FZ9W8cEBDx37Oyz4M49bHptBZU7/nZTbO1gGRfbi2xQlpCdjoNoYFtd+MEv2MSY+tm5doNNCggRIsS5gUQioV27dun48eM6ceJE27/x/jN3rmUOC3LZcM9heXnZE1PgS9jrSfIqK62VZVs1sJmrCCoTZEckqdfr3ncQsGI9c/mAXxVnJBLRVCaunVMZXTvVmuuq9aYeXaxq/1xF++eq2je/8v+5Ul1Hlms6srysL0mS5iVJ6XhEu05Vl9O/fPdYQsPpeJsFnst93T7FrInwGivi2nO2XIC+xs1msyOHI7GA1jbWAcg62XAu8DA/3tHruoBo58cb+hWu3CS0Rxeq+tgDS5Kk//qESWUzrUoUnqdsNutZkMItENCsnaQF4l2nahRJ+pe7Z9WU9H3bM9oxGizKcL9JfvTbk1XrTf3+F05osdzQpZMp/fLNmz2RieQEuCTiflBvTRIpbfIfycEEMRDsOvH9W3Zm9PZnb9ftnzioelP67U8f1+ufGtVTLxv3rOwJGNtnBz5vk0URBvmzHYNBuu+QyG0T+tx9JFwO7sl8wuds/1OpNW/wPBDYRsi1bQzYs7vXaM+Dec1PrLR9KQeBTs8vFWPwwiBuyD6Af7f80zoZ9IoLUcAMEeJcRzab1WWXXaZ9+/atCqr6zVn9usuR8N3p91ydhQCM1GoHyd/hSa4lsuUBqVSqLQhIohnrCEVBBHLceQ7nFL8gM60wu4F1QFpZY1yXTz+uxbkRyGQ8rAsK18x1okf5zb+uVmkDsxTfBGk/BCpJhHWLP9BTYrGYjizX9IZPHtPek2VFI9JPXDemF14zomgfe5Bqteq1yllLOxAXfgl8wGquUivALLWsyq3rTL1eVy6XU61W87gqWhwco1uiRNA9csG185x10nZwHSB4axP9cPzJ5/Pe/Quyynb3HlwjAX4SS/3OxT5TtiKfY1q7fngj+zwcrtgHUplttUpJ3udtIHu9QHOzybJ++1/eY5I14HLW6dPOk4yBbT3B54mT2HGR2hM40Xb5fcYWlyPr5st+aBDAoSwI1iE1yKXB7uEB50f8yPLTXnAhFvFceFcc4oLB0NCQNm/erKNHj0qSJ1yREUigeC0Tm1+wxMIKiLbPDQEo29OGahwpOCOe75TkZSyRfY7t5PLysieWkWlmFxq/YDmw1ScAKx2qkqyFdxDY7CMQDw0NrRKJWIDdBdAVPciOo5qU82Qc3TErl8u6YXNMu8cS2n+qavwnTNU4Yx2LxdoWN+4FQWT620B4ghYrNhqdNh0QoyBwPyzB7rQ4QiTchZF7hR06QUyuEfLAuNnsQAQ4ROBOwp4fXvvRR70/v+npm30/84F7Tupz+/KKRqTffuoWTWWDlx6bAWd7dnOuUnfLUT+r8Uaj4Vlj9lqRbK1RQS+Zyr0kFCAUD6qKBbgWmsx7ZKTaa0qlUm1k2k+MjEQi3vNAljh/x/betogA9mdU1btBemvRxXNtN0kbjV43gGzobVa1rY4KMzBDhDj/QdLl8vJyW79kNu1+/RH7QbfKRuYgNvDWwp01Bc5E9avbaw1QjWkrNAhO2Q02QoSttraVRZ2uFS4KX0nEIrp626gum6p4XKNWq2mhVNf++fZg+YH5ikq1pu6fqej+mfbxmM7GT9mxt/qXX7p5RI16bRUXwwHFJmaSWGor0Ql6utwBrh+UtMDcDy+HL3N8t7rF9nl3Yfl5UAUB+5Ug/sPvwJu7cSVrT9loNPTeb8yp0ZRu3D6kx23LeM8EAX2SfEk+pN0KwiDcgHUfbkoCRicsluv69MMrv//DV+Y6flZqCdkk0rr4q7vm9MBsRblkVK976mbVKiUv0dYmNNpEln54Jdcm+bdECvr9x0zG9Ac/uEW/+e9HVW1Ib/7cUS0UK3rmpSv91OEZ7rvrl3BgQfVVUHB/PXD3fi4HsuOWzWa9ADkJxuwhQb1e95JI2ZezN0HItNXvgGPY58uOu71HPNfd+Hi/6JYU3Yvo2Gg0Vtm/S537bHbChShghghxPiAajWr79u166KGHvPmNQOB694tUS7uVhBbW9ho9iGpwqpzhTLhD+h3LXXtsAhech3+ncppqVnfe66TLdnMOQVPoNI8S6EM/lbTK1bGTzovGSzU9RReMAw47NgBszxsuGHR8WyRAAhzFIlJLf7xj35Le9ZUZFapNjaWj+o0nT+mxW9rdRmxRVtAzQKFSt8QLEuT8KpctgpIVCSYS8OR5oG0KPNIWENiWmvY+W7eZXtBLQNC6IfDdndBsNj2HTtwPLJ9Ee+zEGdwKX+4z59pJj7UV1d14g92zWrBXDIItfOnXirsb3O91255yzvF43HNSQqvE7VFaGSObJEDhF/sC1xnUnV/s3933lp8RMLdtB/ySrNeCboHxXhOicJSwzwLzG9fez328EPXKkEmHOK8xOTnpTWDFYtGbPG2W4lqz44JIU1C1ENUsiGd+Ex1W6raCHLGDCdhWZVKxYSdyCCjHp8pWCu5dLa0mm9Zaqdc+GrZ3e7FY9J2ksbbzs7B2iSPXKLWspSAeCNJUz0CeXvaETXrzpw/pg/ct6UeuHtN4NuWRSxY2iDpiHediFwsyYoMEUYQ1hGm3H3q3xAkC4bZvEX2Uguz9XXIIEJlyuZxnW0gQks9CxF07IRsstzbkvaCkuB48uUJgLh5PaMKnH+S9J8r6szuPS5J+5vHjumZTqq1i24V9fhFUpVZSQ7csTmCrywkA9Iq19I2x98SPWLmA3A+ysscPiKnWcQLYTSwbEfqiUkFl7xFZpwBXBza/NvMSws5cyJ/dcYIE+wXVB3Htg4IbGLdCfD/3MBQwQ4Q4dxGJRLR9+3YdPHiwLQkpEoloeXnZm0PXAriWn4DjVkEyt5HFblvzWMDB3EA2/NUGPpnTSKSCc1rRClELYarbHOsnQJA4ybw5mo7psVuG2gS9eqOpw0s17Z+v6JHFuvbPVbX3ZEnHlms6kV/57z8PGau82FHtHE3o0qmMdo7GtGskpt3jSY2l26tFsVa3CXduX0GpJQaRpEcgUFJbkh18HTGWf7fVxH7VIEH8gOrlII5kE2n9fherb6qiEZ07JbWyb/jubEP/eaioWET62cePe2KpTbhlL2WTNKg44fpdsTsoEcDFxx5YUrne1KWTKV232T+hw8KPu8AnPrdvWR89Vfn+a7dMafv4ynggbHFPQdD744KEEpIEeuUqrk3+ZZMp/ckPbdWvfOyoSrWm/uirJ7VUaehHHzPqfYYWWrZSrBPYT/VTabxWcO1++6NqtdrmmkCiDokMtsURlVC8I+zJbNsGN5lSanF0Kg/ZF1ihEicHqeWUNKhrHwQ4X5vw7TfH94ILUcAMEeJ8QSqV0pYtW7SwsKBKpdK2v2Tu6oVv+QEu4rd+uFoSvA5+FrQuwoFs0QyJjnAYt7KcXtE2gdRWoaKLdStccOdfqxP1uhdnzeD7G43GqkR/glUEcW0QFktmEuIsn2Otgxfa4gPOsVqtenyTAD1JiqxTtmKY4+I6VCiV9Z6vn9QH71vhOI+ZTum3bp3SdC65agysZTYaquWecJOgZwvuzzlx7zrxSnQnuzZLreRfa2vv9je3CbluH237ebuv6QY/q/AgWF4Jl3ZbJfn9DtzQJvKhd3eD1ZBdd4NOWIsTjvt8dHOq4lk5HQUrQe17pPYEAfRgXF/dz7NvsX/nvrjauNTOtdnXs4fiPWTfOkhdEQzSRdI+O9YBAPRTDHoh8spQoQ1xXiMSiWh4eFiHDh3yfmYFwvX2YCNQZI/jVw3tEhFEL9v/0FZiAqzzbACW6kqXQCJS8HOIda8LrLtYIh72m2nvEi4q86kuQJiCjNo+JixG1tbcBpBtxptdrC3xeMqeYe0aS+rAfEUf+N6CfuKxY23WiYy71LIJtYumi6BFxFZ32/7O9t+DeqRj6Sm1rGJstirCYhDcpAyqlOxmyvbzs1mLVqTEDp8EC8agU2apxWs/3qoWf+PTVleLzxXretsXTqjWkJ68M6MXXDnsfTebB5IVyP7DpUCStzFjI9HPs7ie3t1rIZvuXNDL+LFRPB1gI2ufUe4972GhUPCsRYMSO+zmgHnNtiawVmNS+ziwWSIZxG767HEHJWAOksCyobMbWATNXt8XaeU5yefzymazAzu3ECFCnD5Q6WDXW95/eMpaM+uZT6wNY1Clg1sZimhGsiRiqDuPZ7NZj4ORXGgTD6VWkA3ORAVyP2uqK2xJrUBWt7U8Fo1ox2hCO0bbrUBL9YgOLjd0/9FlPbpU18OzZe2fK6tYa+rhkxU9fLL9uGPpqPaMJ7VnPKVdY3FdtSWq6VSrT2E8HvfllbanIuIvIjECHYIiPB37RK6zVCoFrmV+1+9WtvpZisKR/I5L0i9/hl+w5nZCtVbXu7+y4q71Q1cM66KRhGfzaPtB2kpd20LArn+2rzPj0aktkSRV6k195P4VkfeHr8z1Jd4wFnCPo8Wo/uTOk5KkF187qlsvGW97DgmKM9698sp+K5QsXOtsSbpoJKk/f/42veojR7Rcaei935jXYrmhlz9uXJK8BF4bqOiWcHm6QQKNHUP2t1QI2j6SthIK2GoZ5iyeKZywCApwj+33EaTgWCS1uM5Yg8Cgk1m5PgTXtVaMnzx5UiMjIwO1jA8RIsTpw9jYmI4cObLq5yT4EJhZC+zaDYLmGluxKa12B/FbgwigoLsw/6I7wE2oNCahnnW+14IHv/Pu5IYZBNcKnvMhYIbLHdcFF+K7CZZZ623uERWZ9mfArh+s6SRV2mIbSV6VLt+LjfLJYkNv/NQR3Xti5fx/9DEjetn1YxrOZgLt57lWW5FttTi0IT9ead2BbCIBOmSn++b2n+d49vmiMMf2crdjb4Hem8vlvGr9XvhbJ2v3INjkO0meHs4993t/0LL70bDWw+nWss8k0dm6/fTCawaly/UCVxflvazX621asF/BD7B7CJtMQbIl18tYUJQGrOuBtXu3c82gNMZBWbJLrbFivo3FYh0Tqjvh+PHj2rx580DP72xHGBgPcd4jKONlUJtbgkvWYqPbd1niye+4PQMJWtrFiGCrneCwqiPbbK2WbH4baoLx1mawm3UmIiqiHIF9evJy7YwJggfZXX79sm1PIoQixsg971KxqJ++YUpv/sxhffC+Rb3o+mnvODa70Q2o+z0PnQiLawvtWgd1qh6nr0tQb+Nenk23V4hfYgP/zrNVq9XaLPwRKxFlCFz28uwUGzE9NLvyDF8ysbpavN5o6u13nNDJYl07RhP670+aXLW4WgtTbLrcDdlabQXXIx6utSIEoZ1eSN3I5iCzBHsFGzWCO342rzwDfsC6kiQKNlpSKyjE77KRsNV2kHCSQdgAIQ7axB/+zjveL7EbJJG37yrEsxeLMheNRkMHDhzQFVdcEYqYIUKcowjilYPYQGLRZteOXjiBrWAmEOrynHQ63ZaASaWCK0wSwEIQpYq5Wx9093z81kBbRdOLxTYBo2azqVSjoYnhmC4dbY1zemhI+08s6XAhovuPLmnf/Eof8yNLNc2XGvrmkZK+eYTvmFU0Iu0YTWjPeEqXTA1p91hCl04NKXPq3sFJALwxlUp5Ii9rGuIDldHWpq5er/tahFr7Qws/cQe7aZssyDrk3gvb49ndO3R7Lj/50LIOzFc1nIrqJde2qpbddY1j2vOy95eqcisQc22drCw/vy+v+VJD09m4bt219qSxQqWhN3zykMq1ph63Na2feeLmVc/XWnnlWsRVC7/rn8zE9d4XXKRf+PAhnSw29C/fXdRiqa7//qQpSS2uwff2Mg9stAuRH6xwaFvkEJAhEd0vAZkEWPaKOF+5ojetyEjWYG8KX6f1FXvnTCbj/axUKimXy7X1ziQg34+4bKsTBwHXrtMmsPSzlhSLRR06dEg7d+4c2LmFCBHi9KFT0ls3q91eYDWqoLXM7ztwB2H9wm7dftbVXNgTu329+X7L++C6vV5fUPDWBq26tTbB/Yj1Cj4jtdz8aLvCnGx1EuZmm7CAAw123DboTXsie40knkotZxV+RjAaF0cq8L95pKj/9cVHtVhuKJuI6NU3T+mmHRnfFovA5XD2XAHnadsqAgpYuNZ+dRW3Vae7flp3ITs+3EubmMHexrZi6YYgvt0vOH+Kudz3xwbN+8F6+IR1B+33O62+3Y3bWp51OmALuAjsovfTBoHrtu5jFu4+ifgDTg4kdbIf5Z2GV1qXy3w+771jmUzG0ysrlYqXGI2e3Y87wUbBdYW1966fYP7MzIyGhoY0Ojra/cPnCcLAeIjzHlihuD1RBpUBA/lba6Z3qVRSNpv1qqSxzHQD5VKrwtQGYsjIx+oDcIx+s9csIMNUx/QyobI4IIpZ23NrqUelsNSyAud6pBaJZlykVpUAFa2cD5agiC9P2BLX7vGk9s9V9I/fPK5X3nyRZzEOGXYJBffQ9u8kgMh5+5E299r9AJnmesm2tPfQXk8vQV0yVjuJOta2kA0X12bFQWuv2uk6LH7rEwe9P7/5ttXV4n/zzXndc7ysoUREv/2UaWUSnYPAfsR1rc9tp97wvcD2WO3nO63d6FrI6kbDVna55M0+n9YW1gXZk7bFA88Vtrwcl7GwBJyqKzY7tu8YcPv08q72O8dudIYr59jvWjI+Pr4hdkwhQoQ4PSCZzw2sDOq9Zg1KJBK+/ZM7AUHOOsKwiXfXJOZ8103E7d0rqa3ap9d52M8Vxdoq9mL7jOhAcBo+iigWiUS0Z3pYl0SjuvGi1nWUag0dOBUkP7jc1IMnCjqwUNVSeeXnB+ar+vy+1tjmklFdPJnWxePJlf9PpHTx5JBSMbW5oSA0wEtt5ZPLyUqlUhunRdyJxWKeGGVdrPx4g70XlncSBOT3GU/rpsS63CkJL19p6P/79rwk6SceO66xbCqQu1CdaxPWWP8RnuzvWsekoMB4s9nUB+5dlCT9yDUTikfXtjdrNpt611dndWippulsXL9+y5SqlcE58qyXTxBUcEW8TDKqv/rhi/SqjxzRkeWaPvlwXovlhl731E1tlS6FQuGsS6aj7Q6w1Y3WgpaghV8STKPR8ARKEnpJPLJJ5yT0sN+zfchtwiZWrG4iNwEZC86rV66/EX02LdazflxI4mWIEOcb0JvgWXYuGJSWwFrSKRjXySWRpCUStghS+WlWzPtW9/ILVuN42GvSpd9YWNt2qpu7wXIV1gC0MamV2IhFPOu/PUd0IgJ5JJTaIGoqlfKOSTECx0EfwTHSJoOhkxaLRaXSaf3N147q7+9eUFPSpZMp/c5TN2vrcMJzVGHtowUOCEok8ONjbiKe1NIvrWMACWq9rlfdPmeLl+z3ExR1+a9txdKtahz9aBB6UKcA8VoKXawLzlqxFr0TFwGegV56qZ9O2H2U+zxzvRR9ue1BAZXxFsQn4JNuUrNbDGfbUQXFZewezrY75XfPNNx2RP2c09DQ0Gmx0D+bEAbGQ5z3WF5ebrNHlFoZgYMCgc6gCtFOizbZTvwePXgQFljMCXLTC4f+vgSxbEDKkkw7qQehE8HBkrPXjDHIJtXJ9B6W5BE3zs/vvKh6QXhks0AQjUCvtWqyi1symVSjVNJPPHZCb/38UX3ovkX9+GOnRH0XldqIin62TFI7+aYnIYswpBDR0Y/UYWtqx8OOs7UBsj0LpWAB0d4vlywE3Qv+T5CSZ5HNiJ8ohAAdRNhm8lXtPWVZeulEQqNOtfgdB/J6/ymh89VPmtKO0bX1Kel3AZdave3Xi14IN7AWPFbsP9sC4/aZ4tln0+DapAVdN/2W2IQi5DP+bi8ba7+LUI+YajPILfzmIndO6QUbSUrtsXvtoSqtbIQ2bdp01gncIUKE6A3NZlNLS0selxkaGvKEhkG3b+h2HkGw4h2BJZIH7bpk3WTgHYizcC5AGxq4VrdWIKlUyncOhnP006rHXV85Zyo4m82mZz3J8dPxqK6YSumKqZTnkFIqlTRXbmrfXEUHFmp6aKaofbNlPbpQ0XKlobuPFHT3EVPhLWnbSEK7RhO6eDKlnSNxXbUtrtFYw9tDwJFt/20buLM8T1IbB5PkJUUGCeFuop7t2+iun3Y87Vh16hX3z/csaKHc0I7RhJ57xUhX3gL3pJqKYKG1zIaTWwTd628cKemRhaqG4hE994pRqdFf+ybwgXuX9OVHCopHpTc8Y7tG0+t7F3nG2S+sd83m3aL6yyIZj+rPnr9Vv/bxo3p4rqqvHizq9k8f11ufNuUlMVKl0g2n0/YwkUisquoGWL/G4/Ge7Byt3SvX2Ww2lc1m21wueNetxSkclKprPycKv7EjcahXbPTYrvUZGx0dDQPjIUKcw6DtidTaK1unmEGhkyOctDq5zwINjuNQLekGdDlf5jM0RNviB6D3UcEZ5KQISI50AQ/pJ3HTXifnZYtkpJX1JaiSn0pqOAIJ/OgV8GoqVRk/q+PCy0nuskUskrRQqusPP3NA3zjlevSDl+b0SzdNK6pGW8EOgXU3uSwoMRHubAtm4G1ugNDq5dYtqJfE1l7uB3spkidwSKjX621BcrdAiXvQbR8xqGS2Tlp5rzEFdGQs4/tx4fJDry6fwL6ruF/12zJ1o2F5lm1diJ5oi9aC7gdJB+yt7Dvq6ru2vQFA67R/9xsnv+/v955spFZJQeBatInp6em++PH5gDAwHuK8RrPZ1MLCgvd3Kmd7WczXgk4LTKdgp60Ctxn22MoVCgXv3OPxuBcUpwKB/iy2z5qb8ddpku5kGe5W2vcDiI67oJDN79dn180WhLxZsQThw63AsJlN33/JiP7vN2f1yEJV/+/uGb30ujFPwLZ9oP1IoAvbS9xeg9TqB24zxhB8uQ8swJBVm03KuNisv26V4H5Za36wCQl+m40gCxp7fX540+dOeH92q8Ufma/oj74yK0n6sceM6Oada3/XerWutBnLiPfrcUrgOL0G2N1gbTchGpzuLEz3HAHkHAE2m80Gjrvb54xnFrcGaxdmNwqQTKrrbCJPP+j1mdjoin2CDiTJ9LrxmpycDIPiIUKcwyiXy97awBpKdvqg55xOx+v2XZbXIDKRcImICP8plUpKJBJedYtt0UIf3HK53CYkdHNWCarEZF1Yj90cTkRUJCM8Yhfqfq+tKtg6mtFUJq6bd7e4WLXe1EwlpodnS3rgWF4HFmvaO1vWXKmuQ4tVHVqs6suPcr4nlI5HtGcipV0jcV22Kas94wlty0aUS0a9sWP8gzgWewI7DlT/WB5MG6J4PK58Pt9mg0k1D4lqBHDdIHxQtfLRpao+eN9KEuMrnjCpSLM3gYbx5xwsgp5LrsO9N//2vZXvf9alOaVjTVXXoBHdc7ykv/7mnCTpFTdM6DGb/TlyP2s1XAOXqUHAtem3iEejeuezt+h3P3tC3zpa0neOFvXfP3ZU73rOFsVPvTPrEVA3Aq4Y7AY8cEnASj/oGG5LAH7u2vFKarPdte8J+6x+Rd5e2h6BjQ6MU6XYb9/c6enpDTyrECFCbDTm5+e9P7O/RPNbT2u4ftFpjisWix6vSSQSXksLgqRUPksr87/9d3QoWmc0Go1VQW50Msm/0pmK7CBQpNQvmP+pNLdrNOuCX2DZJmxx3rYynuPi3oReaK+P70KzQHuqVCq6+/Cy3n7HCc0U6krFIvpvN03q6ZcMByal2qpze66cuw0G8owRHOcekuTIvsBNprUcrpvG1k/7GSzS4bd+RVN+6CWBeK2Orn7H8kM/wW2qnbGFH4QO2E8xkOVH9n3rhrUGV9cLe23W8QKNPYi3uXOL1SVJFmcsmGdJ0CBGIfXflhb0oz9v9Lja9pS9BuHT6bSGh4c39LzORoSB8RDnNebn59sWAURBxI5BIpvNegE5CyoqOhFb2+8DoQ8Canv4WTuYTr3R/CbkbsFxv4l5PbZxQ0NDntWJDVra71teXvaIGiKbtUdnDOw583lrO0XFvO1RHYtG9bIbpvSWzx7RB+9d1Isft9nrk+mi27NgszgBf8a2j4QGW0EBUSIQBhmy3+sG67uhG9G0/YD4Ts6jnwU+iOTN5KvaN7/yTFw2mdCIqRYvVBp663+cUKnW1HVb0nrZ9WNdvydI/OmHUNsNy6AyH/sRpfyen420W1wrbE8eC7e6Jp/Pe8EFdy5hXGzfH0metSoBIjJieRbthhorrrWgV1I3iJ5sneBWxPXiLhCNRjU5Oblh5xQiRIiNRbPZ1LFjx9p+ZitzB43R0VHNzc2tmi+ZQzutM3bOtdUoCJJWFLAtgazYB/w4Jb8TFBwPEgbWU6GA44hNMLSilCvikbxEX0yqmV37vdHhrBKFgnbszujWHSlPFFyqNPXoUkP3HV3S/rmK9i/UdGCuolKtqXuPl3TvcekTD7Xs2KezMe0eS2rPeEKXTJa0cySmi0YkP3dwv/Gx1Vg24I2AxR6AcbCVEAAB2m2X4lex+9ffnFetId1wUVaP3+JvP8p4YwPqjl+vzjrS6oTLvScr+vbRkqIR6flXjnRNCvXDXLGut39hRo2m9P27M3ru5blAntBrUqnUEuTWkxzsohvviUajesszNuv3v3BCX3ykoP3zVb3yg4f17udtk9TbuJzOivFOrRXcPQ1zhVsxz3yEDaxrN0uyCIF2EsMLhYLXqoDnPaiyrxvW2z9+ULCB/V657sjIyAVX1RMixPmESqWikydPtv2MYphBJ0MlEgmv4MYCHavbWg4XIdnJ6nQEvEmI4joIorvwm3NtEpU7l3fivGsthLCBfmyR3YpVGzTGbt1dcywnBWgiBPOoDLcBKtfVE6eaf/72Cb33rjnVm9JFw3Hd/pRpXb45F6hjMj5+/NrqYwQEI5GI1zvZFjjwf9fh0k+36fSsULAVBNrpWQ2J9a/XYC2/1ykw7afLrwVByXPdrtPCbS0wqHe7H8dC97O9nvvpDIxTZOO3r3SL/pLJpO8exK325jnjGnhncXSwrR9IwOHf1gJiA73cm41u+2ifs16d2jZt2nRa9xJnC8LAeIjzFtVqVUeOHFn18/WKmJFIRJs2bVKxWNTi4qJSqZS2bNmiXC6n+fl5LS4uelbhtVqt50wuSLCt+rbCI2SKgA8ZmP0srPRAptq6G3qx65ZWLzpYSrrjbPsbS/KIJjZLVmjjXF0QRMeGht46JBBA7iORiJ56yaj+7zdndWCuon/85jG99LqxwF7FvZC4oMULux8beIRAUfWQTCbbKiNIHOB67OLbyRqG7Ee//iUQCVccBv1YqthkDYs3fLZVLf6mp7aqxZvNpt75lRkdWqppKhPTbz55SrE19oqUehf3XHeEQaEfQrDWIPjpzr5kw2HtzYMQlEhj7VyZmwg88P65mZYEJ/gZJNQPWJcGiYKlUqmnZ3iQrTJ6QS/BHpKkQoQIcW5ifn5eS0tLq35ONchak3GSyaQmJyc1OzurSqWikZERbd682RMql5eXvU18uVzuOZGO6hzWKM7R2mnawFS/Qg2BW7+1opN41w22h7jUsvDEttLOte5cT5sQApqNRsPjz9wfV0ihtQfV2ogi2UZZV01E9ZjJMS8wXa3V9ch8SQfma7r/2JL2zVV1YKGq48s1ncjXdSJf1H8eKkpaqYRORKWdY0ntGUto93hSu0/9fyreWQwplUpeGyHOh/MnqRKuZ9fXfD6/ap3xEwfvOV7Slx4pKBqRfuHGaQ0NpVbdf9ZaBFU/ruXaaXdCsVhsExhpuXPLzoz2bBrpm8vVG029/Y4TmivVtXM0oV++adJ7RvzQ6/G7uUitFb0KYK9/+jb90ReP6mMPLut4vq6f+8Ah/dkPbdVI+uyTbXCd6JSsDWgV5j5nPK/YzZIgQdWPffaovmPfyZ8l//HFVQ3HDD8MqlfqIMHeuNucvFEOeCFChNh4NJtNHT58eNWel0Ke9SR4j42NKZlMamZmRtJKsGNiYkLNZlPHjx+X1EqyLJVKPa2PtKuwgWAb3LTzEWt9vwlvOGC663CQLhDkTuQCZzx+x7ZmtH3draZB0j8JALFYTMvLK8mQiUTCSw5zLeWllvsjiY58JxqsTeqiGGF2saB3fum4vvTIytjeuiujX75pUplE1GvJuB59w3J/y6mx7ken4N7aXufu/eiUaIgOW61WV917xjvIRcgtquqGTnrdoALjQRpPL3raRqJb602LoDYEvaCfNobrhd1zdOvVzd7NBfMU+1riDMRaSMTk3QTpdNpL2ugUFyBo3olX9jrep7PtZq8xKbc/+4WCs2+HFSLEANBsNnXo0KGOwZV+JvlYLKbR0VGlUillMpm2fsZMttJK1TiLeT+LD4SpXq+3VVfzZzIN7eK71uA+tu0QI6yR15ppL6mNUFqrI4LWZI/SG84C0kRlKefD4gQBBZFIxJvYIVWQSkQ3aWXMqpWKfupxU3rLZw/rg/cu6kXXb9JQIrZKaGGh7EQuui1cnH8kEvHOHzGXBdgKHLZ/lNRuT+S3yEciEW8x5+8IuJw3vxd0rq6Veze4yQ3Hlys6sLDyXVdMJtuqxf/1e4v6yqNFxaPS7U+Z1li6twBgEKHoNTBtK6cGBcS2XrCe/kBnwpaI56WXKi+/+aBer3sbaRJC7PjbBBI7rzDfYncL2IRhR+z2QadnLJtBRNNuz/DpznQsFotdn8MLMfsyRIjzBUHJllIruNzPBjedTiuXyymVSml4eFjxeFzj4+Oe6wYYGRnxKin6ye6He1k7b+ZQSas4pbWT6xdUC9m+hkHuPL2ISHaOd4WfRCLR1oaHILHt3c312n7k1pXIXT9sOxYsNVnrqFqF20XU1M7RpLYPx3Xj1rhnfTxfKOvA/Erf8v1zK1xp36nq8odPVvTwyYqkVtXU+FBsJUg+ltTu8YT2jCW1YzShRKw1bjbZApckREva49hnzt7bdDrtub7QvgSu3mg29VdfX7Eef9alOW3NNL3rZCywqGdPE7S21Wq1nvdTVDTF43Edni/oC/tXxuNF10+taT/zt9+a1z3HyxqKR/TbT5lWOt6ZA/eavLIRa3U/XDEej+uXbpzUSCqqf7xnUQulhl7xwcN69w9t01T27JNu+rGd9NvfkOhND1HETne+Y17juUe0d6v6mfs4ln02qfKDVyLe97KPON2cvZfnMOSVIUKcu5ibm1ulcwG4YD+Bt9HRUQ0NDSmVSimXyykSiWhsbMxzzQFjY2NaXFzs69iW47mVm1KL99nqcDhUv0APtRorwWf3nHsNTtoCHNtyh6IBvyIVAmelUsn7DvQ6WidKqx1SXLDuWS4J3+Y4jy7W9cZPH9LhpZri0ZW2MD923VRb66Z+NLwgoMVIrSRUgv/uWFpHS7fND3qMGxx0eQBBcp4D2z7Ujw90KkTyA8+Ju9YPMsExKBnhdAWLg9Br0kk/umbQ759O8O5FIpGOLbuk1vPs3gta59KOVlJbIogt1hsaGvJ+TjKMfZ5sdbmrVXIM3I5sHKIbTmfCgdTScLu9Fxcqrzz7dlchQgwAnYim1LttWiQS0eTkpKanp30r/dyMmmQyuaaFGDHAwmZeFgqFtkV5vbZvfsKgJcxUrve6iNqKEVs1XalUVglR9FXJZDKKRCLev1vC5VYBuAuYJUzYk1t7PbINk8mknrilpl1jSR2Yr+jf7pnTCx+zIqgi5Far1cAKa9DLPeW8eE4IirOY2gzIdDrdthASmAf2fkP2rHArte6hvW+2mtZdbNPptCf+9AM2BZVKpb1a/OmbvD9/60hR7/vWvCTp558woSumVlf6B2G9QpNL1AeBfuw214PTXdVsYau9gwLkfu8E77p9B3nmsFu1P7e97e171EsQJui9tBbAG21B1Ct66WN1oRLNECHOdXRLtuxnLkokEtq8ebNGR0dXzQls0C3Gxsa86p5e4fIFC8Q/N/FtPdUEklZVhtiKb6klwPValWSPa9cOP/tmjo1oy2ctz0MU9bMdtveBxFnWL9vPMZvNtq1/BPqbzaaGYtJ1WzO6crLFyRrNpo4t17Rvrqr98xXtn6tq33xFR5dqmivWNVes65tHWjw7FpEuGkloz/hKwPyKLQ3tHIlpNNFsq5S3gT/Gxlrk0WvTJgYgXiaTSX3m4WU9dLKioUREP3Hd2Kp7aMfXVlFZ4IzVrU2TC56RTzxcUr0pXbM5rT0j0b654JcfKXj9yX/lSZPaPprwzqtTZVkvsGL4oNBPIjbP709eP67hVEx/edecCtWmXvmhw/qj52zRjlF/2/szDZ6FTokUfug0L9iEIxKQec55nm1bhUql0vG+deqzaJ9pP5xuvuk6LPgh5JUhQpybqFQqOnr0aOC/p9PpnvXE4eFhbdmyxddp0eVikjQ+Pt7W17wX+AVlSUyUVgKe+Xy+LZkRF8O1wp3L3Yp0EqN6gZ0rbYEAifmuHpJMJpXJZDzd0rZXscexldx2jXB1vlQq5TkBoXtS2POh7xzXn945q0q9qU3ZuH7r1ildMZVa5cjUKQjqFh4EgWIFzhFrdSzfbVW9vefwQ8bCBrjh1W6bIqlVpWpdLeGt7vplg/T9VEPTVoXvGLQuGMQd+0mGRq8eVCC00z7PxXp1zTOltaEDdrufdp8GXLt662xpE2z4Dp41kp3dBOtOz2InXklCp9+96tQnfaPQy3x5ofLKMDAe4rxDuVwOrOqR/BeHeDyukZERr2rHZpT3G7zatGlTz5ZEwG8Csr3GpJXrYlKnsmNQfYzdBcetZu4Gv6Au2ZhYI5PVZrMPsR9ye14w5ixyBJKxEnezGRk/Fh8rgiYTcf30EzbpzZ8+qH+556Sef+WwUlF/m/AguP12gkBPSIg01pdWYIQYu3CzYFko+d0g8mUJA8+t7SUqadV39tMTUlohnCcKdT26uHIOV00llUuu3PMT+Zr+5xdX+js+4+KsfvCyXM/HlYLJVj8bKawcB5UZCsmnmkRqORXY++DXs7MfnMnAuNR6v4Lsikj04B5hR2vvWSqV8gR3NzBix4agOZnDlUplTZWJ7vkNch5cL7ptHC5UohkixLmOkydPBiZbkkXurqnpdFojIyPKZDIenyTpsJ+5IBqNaseOHTpw4MC6N9DuGmnnrEHbudljwzl6/Q53Ti8Wi147GpIOrVBpk0vj8bhXWV0ulz3hlGvn2H595wB8k+NR4cN1wUltax8/gTYaiWjrcEJbhxO6eWdL0K02Ito/X9He2ZL2z69Ulu+brypfaeiRhaoeWajqP1SQNC9JGk5FdfFEWhdPpHTxZErbMmXtGksoHY96zip+ew6/Fj2LhZL+8msriRYvumZU40Ork35pZWRFbXs/4QW2cqgfFKoNffjelYr1H7t6rG/h/NBiVe/8yoo97AuuGtaTd7UcBDq1NemnlckgRUyeIZdXSloVRHYTVH74qhGNpKJ6x5dXRPNf/ugR/f4zN+vKaf++0mc6WbBQKHhcz++ZdMfTT/CEk0rt1o/uc55MJr3nf72JPZxbJz55Jsa2WyJ8yCtDhDj30Gw2dfDgwcD1JajlXy6X08jIiOeWuFatMpvNatOmTX0nXboIcuBhHl1vIY+Fe6x+j+0GtCV5laK4FNlxR4eFvxIwo6jHJmXZoBtFB/be4sDDn2lrWWtG9PbPHtQnHlxJ8rthW1q/dsuUNo/l2vq39zo+vfBseBAFSrYIS2o5Uubzed/10K7JXFMvWhh6bZCjlPvMWwfSXkAhxukqbuE7+/nsILVKdDVXq6zX66vux3p0svW0CRsE2GvA9/y0Q5fb+yW2ch3WnRe442Pb1673WQp63jnv061h9hJDulB5ZRgYD3FeAaLpJ7KQCd5sNjU8PKxYLKZEIqGRkZE2q571Ih6Pa8uWLdq3b1/PYk+vE6M93iADQu7C3u8C6I4d1SpSy47bzxaPHiCIcJZg2l7E1qbYr9oH8lmpVDzyye8kEgk9YXPdqxr/8P1L+snHTfZMTCBqfsFk2zecym1r00TAFtRqtUBhbj3Pn63wSSaTymazbddnLQODrIu64fWfbmU1v+FpK9Xi1XpTb/vCCS2WG7pkPKlf/L6Jvq8j6BnuV4xEAB8EefN7NpLJpNcagCqxXvpKd8KZsFL3g01m8Usacp0QJHnWrPF4vO2ZZjNIEgzopf/kWhBkI3Um7K2Yn6LRqO/m9EIlmiFCnMsolUqBVT1U52DZRsX38PCwb5XOWpHNZjUxMeH1iuwG1youCHZOws54EFWybgV9PwFJ4HJcu9ZSpZTNZttsOyV5gqMrciL+IYyUy+VACz6Og4MRLkjW/jKdTrcJi27iXCcMZ1K6LNrUY7ePtiVOLtVjenimpAOLNT10oqD98zU9Ml/WUrmhbx8p6NtHTAKrpK3DcV08kdKu0bh2j6/0Md+Uiyt66r76nc+/fndRJ4t1bc7G9PwrRwLPMRaLec9DLpdrCxpaF5hyudyxB7kfPvXwsvKVhrYNx3XD1v7ek1Ktod/7wgkVq009Zjqllz9uvO3fO/HbftZgEiAG8T74uYJJLWF6aGjIqzzz+77bLs5pOBXTmz9/XLWG9JufPKbffeomPeGi1X0A15twOAhYIZM9ErDvsRvYsC5h7NcByeEueP8HJYR3slU/3bySKigq+fyqL0NeGSLEuYcTJ04EzlnZbFa1Ws3TKuPxuLLZrLLZ7EAT6icnJ7W8vNzz3LkWzWKQ65F77f2ej18QE70H/iutLh5BY6M1h9Wa4JVemxrDPd1rZw3juw7Ol/WWzx/VvrmqIpJ+4rGjevn3bfX4mx+/DYIN4LlamC0+opUNib581mqVNojvYj3ac7VaVS6X89qN5nK5tnFmfbUtSdfiDHi6e373c46uU9d6EHQMnErhD37tB/oBRV5nGjwrli/7wU0+sEnQaPU8435FQTaRelDX3ama/HSDNqwk+vjN0RcqrwwD4yHOKzQaDY2PjyuXy3kWO/Qg47/TgUwmo0svvVT79u3raVLFNrzbwmX78W5kNly/GW3dyCkLj83qJ6uNHkqNRqOtZzaCivsdfhM4n8Ny01r5lEol5bIZveiaEf3PL87oX75zUj94yZByydWbi6DKWWn1okbVK8FBzjmRSHifRVB1x8pPdAkaw273wrV48av2Z4HjvPysSDvh6HJFB09Viz9mulUt/udfP6kHZivKJaO6/funlIr3t2HrVI3T74aH3ksbRd641wh8680ijMfjp528dwJzSlBAw63GITgQtOlNJBKee0O1Wu25D1K/CCJvBCvoB7TRgqbf+5RIJBSNRr0xulCJZogQ5zo2b96sWq3m8UjLK9cS9F0LtmzZokQioaNHj3ZdH3HTcB0+XBDQhKsM0jraYi3H7ZQwatcjkhMIVufzecXjca/vONbOts+61OJDfs4v1hKTBEcrotCXGCtM10LTXoNfJavfehSJRLR5OKWReENPvmTc+95yra69JwraN1fRI4s1PTRT0t6TJc2XGjq8VNPhpZq+aI4zFI9oF33Lx5NeH/NsMqqZfM2zH/+Zx48rGVu9Jrn2mdLK/XMTPaje4FqoburGa+qNpj5078o5vOCqEU8E7gXNZlN/eudJHZivaiwd1W/dOqV4dHU7gkGhX67cL0ggDBK0LZ5w0ZDe/qzNuv2Tx1RrSm/63HG95uZJ3XZxy6VpI891LaBljwV7QWtVCfxsWN3fpWftRiaW+jl7Mddz7qcjAYF9sps84LZzCBEixLmFoaEhbdmyxdMu4JUEwk/Hex2LxbRnzx49+uijWlxc7Pr5Xtd4eBf777MF3TQIu/7Y4BsVyLSBpEgCXmSdK4Naz0griWCMx2cfOKl3fWVGhWpTo6mofuPJU/q+XaMqnRrbTkl5BLHtfbB9uWOxWBuPaDQabW13crmcZ+ce9LxZ1yCLIF6O3hO030ilUqpWq15APpVKaXl5ua3YiXO2Y0hhz5kOzHbSkIL4fxD6tYnvF/B3285gPTjTfdRdkFxgnwnG389e3rahcsH+zc5rG+EMFPT9JIFSPLjR1ePW5cLGDU6ny8LZjDAwHuK8QiwW08TExJk+DUkri/5ll12mhx9+uKeqUnq8dNrsl0qlgfe9k3rLwqT6OhqNriK7VJRakbjZbLZZLPM5+mLH43HvOuixDdkkU5BMTAgqljH2+t2KA3p4s9DwvbfszLSqxu9b1EtMX0WpJShZImgXCneh5N8gbAin2KpK8uyUbADYrcrqZCvEQh20EcnlcqtsBqnqSaVSXgW9tS8C/diPv9H2Fr9tpVr8Uw8v6xMPLisi6TeePKUtuUTX47joVHG9lk3hRvQVsrABkPUSJyrQzzYEEWCXrHVzubAEL5FIKJlMBvYMXw/YgFPNR2WfW6FOUtFGCJpB/TFtvyLmihAhQpxbgE+cDZiYmFAqldL+/fu7ftbtFe0HgnJU/g4KrmVgEK9NJpOec1C5XG5bV0lupb0R54tjC7Atd1hfqNDlugimWYt0hBWsmN0WIS43wnWKc4G7+PW2A372nJ3GxQqCcMdkrKmrtg7ryi1Nr/o2lUrp0OySDsxX2vqXH1ioqFhr6r6Zsu6baT+nTdmYGk2pXG/qouG4Lt+cU73RUMwEllmr7bVzb9w+f26iMVUW3XjlVx4t6Fi+rpFUVE+7OBv4OT98/MFlfW5fXtGI9Fu3Tmsys/EyBjb+63EHCkK1Wm3bD3TjR1dNp/VHz92qV3/8qCr1pv7wy7NaqjS8yv+zKQgBgnhPIpHoe0zdvd9GBsfhlfV63Zsn7PjSd5Zk5EFz26C5m/0y72XIK0OEOPcwPDys4eHhM30aikQi2rFjh44cOaKTJ092/TwaWycdEv7Vi2tRPygWiz21N6HIxk3wQ6MjGMb54QRkq7PhMFYHtNqg1Nr701IOW3v6jVtEo9EVXaLe0N98c04fuHdJknTN5iG9/hkXaTrb0g47cUr4GZos2qhdf+yaYO3I+T9OSVajLBQKq+6rvYZOvZAplMCJ1dWGGC9bNGSLK2yrJXfcuL4z3Tavk+bXrx7YyVp7EHDfzfUEtv2SI84GBDnn+D0nnbiZbe/KHm8jEgEo/iM2wn9S+/2iRcNGFfX4zce0wyBZxib6XGgIA+MhQmwgYrGYl93dDfV6vaeg3kb0JV7VF/EUaYRAEvy110Ggid+3GewWBLUt/GwF6/W6F3S3IhRCpP0dO070yiAgHY1Gfa2HMkNp/fg1I/pfX5zRB+5b0vOvHFH2VNW4reghuCq1Z2Nik0xg2/bikeTZ3HHONoCPUEg2sBVmbeDdCorWftDPemdoaMjLvLSZrbZ6iuO5PcdBsVhsC6D74fBiq1r86umkhpIxPTRb1rvvnJUkvfS6Ud2wbbWdYy/o9Cyv9TkvFAobRqBLpdLANnpni426C7sJZFPpR4z7IU02SG6t6AeBIItS91n3EzSlzpmkvaLbvWTDeboqS0OECHF+guzyXq37SETsJAxQ/TxIIHpZwJ+sGxDBcBKHstlsW3A4aH73W4f9hFo4Dt8PP6CanrnfBpr4PdtiKZBXduDs9t9IPnArYuF2lUplleW01C7aEMhnvLZN5DQ+VNTNl0x64m6+WNKxQlMPzRS1f66iR5caeni2pBP5mo7nW8/LoaWafvZf9isZi2jnaEK7xxK6eCKlPRMp7RwpaWwo3na+iNE2oTJo3etkFdlsNvX+U9Xiz7l8WOk+XIbunynrL76+Itz/9PVjunazf7JKp/V4Lbxro7lavwLUrrGk/vx52/Sqjx5WodrUX3x9Tkvlun7y+okz3l/cD64jmk1CduedfkRA3hXEzEEmPfrNJe6exL6bktrmlU6Vc70gKNkSIKri9hEiRIgQa0UkElEul+spMC71tiZuRBGPW9VYq9WUSKwUZVD1bB1YCKraJKpqtdqXdbCfVsGaZtcetErbn5yAOcGm48sV/cGXTuqeYyvH/C/XjOknrxtRPFJVobCyFrLOBLUEdSvS6ZHuWr8nk0nFYrE2dxXWV3g3miTclkQr9E5aMNoktmq16rVrJICGW6O9H/aeMYZoIHZPQqCQn/kFJimyOpNB2k57pLUEL/ttP9QPCMIO4tgbEXMYBHi34Vm2+MxFr/fHdW+yCRuDQC/3w93z4krLfnU9gfJuzwStHmxbhQsNYWA8RIgNxrZt21Sr1XrqE9NL4G3QiyjEye87OhGQIHLpAivCTkIasIuSJcDpdNojeRyDbP5SqdQWeCOobYGN85N3ZvSPowk9ulDVh05VjftVvhLIChJe7T0ol8tekoDti27Pg98j0EhvzHK57AVxo9Go93ssTtYKlX59kEdL1qkgchfUYrHo9ShKpVKrsmc5f6q2/IScN32uVS3+xts2abFc1+994YSqDemJFw3pRdeOrvqdXtGJcJEosRYS0K2aea1oNpsDI5tnmzURsNVtjCObJ6kV5HY3kQSb7SbQDxspZlp0Gl9X0JTaE33YZPay+e/1eSiVSqrVatq8eXMYIA8RIsSaEY/HtX37dh0+fLinda5bixFcegYJv8AOc3+QWEqVdC/zKe5EvQivdn2xYu3Q0JAn/pFUaUU8tzrVRSfrOb9/wzbbhXUesudMkgDVT3BHFwg32WxWYyPDSsTy2jU26v0sn8+rHkvpVz+0X/vmKrpoOKGRoZj2zpZVrjf10MmKHjpZkfa29ijj6ZgumUpr99iKHfuOkZh2jCSUiEW8pAH4ql81tVslD+49Udb9MxUlotJzL++9Wm6hVNfv33FCtYZ0044h/ehjgnujd1r71xpE3MhKJSqA+wmkTufi+qsf3qZf/PARLZQb+ofvLGq5Iv38E8e7//IZAM9MtVptm2vYM5FY7d47Kmf89i7A7hvZIwW1xFoPuj07rg0mVW4EMzr1xHTRazJGoVDQ0tLSWVF5GiJEiHMXIyMj2rRpk2ZmZrrOnbbwIggbkbDjrpF2vg1ao9G2unFFHDnr9XrX9d7yVPgjv0NAjc+h43354Vn9ry/OaKHcUCYR0Wtu2aSbtq/mlX5uRcBt+4M+4/KvID0vGo162qm0sn7YNanZbHqBdr6H5Cuu0SbSst5K8toB4BrEGmavpV6vK5fLeRqr/Tk6E8VOrhZOYLDfVp+DQDd+ttaA/UYmXQ4qSfJsTbyzSRgUt6Hj0d6AojD3faZtaidnBqunD7qgpx9UKpW299u6qPWThOnX0ssP8Onl5WXlcrmunz/fEAbGQ4TYYNDD5+GHH+46qfaS5TXoatheJ0sXnWx1LCCQ8Xjcs+0heNbNmobKKBIGWBwItHP+nEuQ7QjCXSIuvfja0baq8Ylhf0LDgtptwaGqyQ2k+REesjFZYLnfWIpTvY1Vkr3PiEp+2XD0vpTa7b7pT0cPdwLu7hhVKhWvv5X9zoMLFR1aWiEG12xKKRmP6m2fO67j+bq25uL6tVum+uoP2Q+ooFpLIHojMxwH9e6drRXj0spmCUE9k8l4zgTAbWeAXa19J7sFlt3MzGg06j27bLzWM9b9jq/fHEAFEOfrbpj7nTtrtZqOHDmi7du393VuIUKECGExPDysPXv26IEHHuj62W797DaiynSj24SwPriJkL04LhGMsy4/JGoR7MVqkiQpV1QlmRDuadebRCLhK8LaHo8u3PWKCplu10OgnzUZjs3axX246+Cy9s1VlIpF9NZnbNJUNq5oLKZj+boOLNR0/9FlHZivat98RUeWapor1fX1g3l9/WDru2IRafvoSmX5rtGErtic09bMorZP+Isnfu16/u1Utfhte3IaH+otQazeaOoPvzSjE/m6tg7H9eonTXUU6zo9z4hnBGN7hdsSadBYyz5sJB3Xe37kIv3Shw/reL6uD9+/qIVSTb956/SGnON6gRtXPp9f1QJLWtm7cE/cnoe9tIWQ2kXEZDLpVbPxPpXL5TVz734FYr/gRCQSUSqVamvz5e6F+93znDx58qyxZQ4RIsS5i02bNikajero0aNdP9uNNw46oJZMJtecRN/rug1vy+VyXnu2XgJiFJ5Q7ML8nUqlVKvX9b6vH9ff372gpqRLJ1P6nadu0c6J1Vwwm82qWq16FaL2vIPWhX7aIhLss/zUr50PmiTrNNXwuBvx7zhD8SxQqU7vdb/7RQJcqVRq41SMH4kBftdkC49OZz/kblowiSL9Wl9vpA5oLerPV9jEEPY7neYIEhVdV4du84ptfYozBQkhPMtrRb/PgJ+LWjQa9ZzY2NvaRGycNPrBwYMHdemll65qmXW+48K62hAhziB27NihfD6vSqWimZmZwMnQVv/6LcRMykEZgUG2mRMTEyqVSl4lByLpWslFv6S3Vqt5QXFAxqC7qNhrtDZ8iAqNRsML9rq/S+DZVpbba3zyzoz+YSSug4s1feSBZb3oGv8gaqPR8LJHu8HPBr/ZbHrkmr9bO0pIJsFyaz3q952uLXunc5FayQBuADPod+ntY0nCmz7fqhZ/w1On9fd3L+gbR0pKxSL67e+fVi659gA0VfydwFhxz89kfyHg9oRcK87WinGQz+e94LgLKvuoiHGfqXK5rHQ63bMIaecrK4aSGQmYc2z7Aj9roUEJ2ARf7JxKAGWtvX/m5+c1PDys0dG1Oy2ECBEiRCKR0CWXXKK5uTlJ6miD2anC2ratCVrX/HhlJBLRpk2bdOLECa+ymcrQ0yVauS1+sET3qxjFopFrhH8SQCuVSl5ylttn0a8C3BWc6CsJ1/VDP6IeFQ2W98Ab+TPjjjgJb0WYrFQqqtSb+vM7j0uSfvQxI5rKnhJ06nVNp6VNQwk9cct4q8Kn2tAjC1UdXG7qwRMF7Z+raP98VcuVhg7MV3VgnvNZee6GU1HtHkto91hSe8ZX/r9zLKF0PNrWrufgQkV3PrrCFV5wVe9BvH+6x/DOp0x7LZD80ItADL/t1ckK9JoMvBasVfBPx6P6ix/epl/56FEdWKjqCwcKWiwf05ufNn3WWWCSjBB0j9i7wPfddyTIhSAI1vqV/aSktlYOdh/Ln4NcjAYR6LFJzLy3krxgud9194JDhw5dkCJmiBAhBovx8XFls1ktLCwon88HrqeVSkXZbDYwGGU1Aj8tAAdId03NZDIaGhrS7OysUqmU1/t7PUHEfn/XnYdJNPSbm3HxoYDAulfOF6v6vc8e1tcPrfzeD1ya0yufMK5UfIW72sBlIpEIdBaNxWId1wU/rtgP4JRoO25RCklrJLe5LYLsM8L1dOMf9HUnEM8x0Xo7aWz9coH1IBKJ9OTyVywWV7lOdcNGt74hgeF8BkmTQe1cmV/8nhc4aa8JBNYZIhaLefeZBEziD/zM/j+o2GcQyRF2X2uvBfcH+371ilqtpsOHD2vHjh1nrWvARiBk0CFCnCYkk0nPXmdiYsKzVWMTPjs7q2QyqU2bNmlkZES1Wq2ttzcVvY1Gw5v4qFphwq3Val41DBN4qVRSvV7X5s2bJa2Qt9HRUc8Kff/+/X1fC711ILa9WA9Jq0lAqVTybIes6ORagyAmIvzRm8WvAhpbQqpCXIISi0b0kmvH9L++NKN/+96CfujyXKDQFolEvMU0iHTSv9Kv+oH7QgYk1e22b7pfUJ0e77FYzOs7yTUGETTbZ32tYGzT6bQePLqoI6eqxa/bnNLdx8v6p3sWJEn/7aYJ7RlPrvl76C3Yq8hohczTmSUaBJcE2f/8YJ8DN5PvbEa3ZwlnAz/QQmE99yuov6wLW9ndqwV6P7D31W6Y17qpWVxcDAPjIUKEWBeoqsS2cGJiwuMUtVpNS0tLWl5e1vDwsDZv3uwFTBH4EHws36jVal4Q3PLK0dFRLwkJ55pEIqHJyUllMhmP12DB1u+8z7UgLDUaja6uQtJqPkTbGaq+qfyWWn0h7WfhYpLaOLWFTdCLxWKKRCKBCWO9VlElk0mP4/v9DlZ/QUIKFTXYf9LGhH6RHLfZbOpD9y3q2HJNk5m4fvIJWzSUiLYJKSScspYPJaK6YiqlK6ak5145pmazqUgkoqOLZT14PK9981UvWH5wsaqlckPfOVbWd461xPGIpG3Dce0eT2r3WEKXTWf0hX1Lakp6wrYh7RzrjT/edbiof7h7hXe+6sbOvLNfvoGTlV9ynx82MtCMsxPPBEkWkn9AlgBrs9lULpPRn/zQVt3+6RO651hR3zpa0ms+cUzv+MHNZ11wnLZRQWAOCnqPaPHTD/cikZp73IsAaiu73f6tG4H1thOiXVvIK0OECLEexGIxj1eiCcEpa7WaZmdnVavVNDU1pcnJSU+nhHvABQn88m+S2nglXA9eSUuY4eFhZTIZZbNZ5XI5RaNR5fN5HT16tO/Ar7X6pgq7F17pagic89DQUJuVeCQSWdXihoKabx9c1Fs/f1QzhbpSsYh+5clb9JQdybZj8nnbbsMP3c7XOgShVfolIvhpNrQrkVbWRu5nMpn0dFfOzS9BFPt1q1fzc7/WoOi53G8/3haNRle1F3LRT6X8WhGJRDrqXC5o09drMc9GB8aLxaKX+OsXtHXBvoCilPUWAJ0udGud06ntFc9pvyCBg3hLLxzRVnYT+9lI14B+OG/Q7xNYv1Bw4VxpiBBnEWwgB0xMTHjBNj4jrZA5v/6GBGRZwPx6D0patVHm77Zv8FpQKBTaJvRsNuuJrX4LVFAlexDxsXaWhULBEwKllUm+U8agFUcJwloC8uRdGf3Dd1aqxj98/6JefO3Yqu+2vfAgXwglNvgelEFKJTikRGoXP0iUgBDbYDE/o+rHfs61tQYQd54Va0tte/3kcrnAY0itjNE3/8eM97NXPH5ct3/6mCTpeVcM67Y96+s7Uq1W11R906uQudE25Wsh4iS1cO0bTYgHAWzBgsh9t+q3tdyHtfyOm4nZq9NDr6DlgU04Ws/xL8S+PSFChNg4RCKRVTxxYmLCs4oDfCbIdpfkTZvICVzOCrLZrPdnWwXZD6LRqG9GPUmgfgKbFCzwdFqTmMupFqZqxVbL+MFWd/YbhCXwj2sTvJ0kT5s8F2Shjg01FVWcL9y4XC4rFospl8upWCwqHo9rqSovofG/3rhJzWpJheoKR+W7ECH9YJ2KpjIxTe4a1vftaFnHV+pNPbpQ1cHlxqnq8qr2zVW0UG7o0FJNh5Zq+tIjkrTgHfN4vqY/vXNWe04FzXeNJX2TU48v1/QHX5xRU9KzL8vpaRd3XjfXkmyI2I+Q30mI3egg81p4Jcku6XRaf/T8Xbr9Ywf0tUNFPXSyol/48BH9yXO3Khk/u4LjrquXBSJcJ97Zj1AttVf29Apb2W3Pe5AgKZqEmvUE3xOJhK9OECJEiBBrBQ5pFmNjY5LakxLhiiMjI97P+HfLG/vhlfZY2Wx2TcEZqtXtuk6/YNeq3CJof++3jkSjUc8CnMDoJ/aW9Od3HletIV00HNebfmCHtg41fdc8klVJ1OwnGJlKpbzqaopasCiHbxK4LhaLq84fzRkOad2WaP1DlXg2m/WSR6VWsI3f51mhWAnnQL8xc/uzu39218Yg4FoQVGm/XuB60C96LebZ6AKZflsGSfKSpCluOZvbPoJubWhxMgsKRK9lz7qWwh/X5TYoMXo9YG85CF7JXHkhIQyMhwhxlsAli6cDCGJrsRlyM7Dy+bxn1+m3yFAJ0M+5kVFIQJwMwmw262vB5MJmplp7EVs1/oF7l/S8K0aUTUa9z7mLHcSO6+L7gxZFa+niVnFbq3JboQ35tFmWJBPUajVv4ZfUZpXpij5cI2IZiQVkfi4vLyubzXrZalaEonrs/sPzOrK0Ikpduympd3xlVvlqU1dNp/Szjx/vduu6otForDkpg/Eg09iPVJyNQWcr8rEJ2ghQdTQI2/l6ve4lbAShU4LKWrK7z8YMVRJtwHor4Q8dOqRSqaQtW7ZccKQzRIgQpwdUPZ5urGVtpwoHLoKQh1uSHy9bC2x/Oduf3La+6RREs30TexUxqea252+5MAml9Jf0EzKsPT3V65Zns47Ai+v1uiKRiN7ztWMqVpu6fCqtZ1w6ougpQRgh09rIA+z37HnYKiKEs3K5rLHhjMaGpSurVT37ygmvYqikpB6eLWnvbEl758q662BeJ4srnOeRhaoeWWjnBpuzMe3Cin08qYuGE/rjr85qqdLQZRNJvfIJE13HeT0uNfRp7/T7Z+NazX0jweJ3b9ukd31lRp9+OK/DSzW94oOH9X+et02ZdbQ9kgbr1kS7sCAxkrZOQe9Xv/dhLf3b/TBoEdu9/vX0A61Wq3r44Ye1Y8eOsNd4iBAhNgzrKag53d/rVoOypljnHr85tx99hgTDUqmkUk364zvn9IV9S5Kk7794WL/x/duUTcY6Bm/hvf1wGL/PsV5alyP4nZ/Oa+3h6Ult1znLU3EkouWQLcaCS9tiIvqz8z2JRGJVZS9ORTYxkSp/2gIR3KW6HFcrvo9k0Y1yk/Tj2/38brfq6/VY4G8ESGqQ5O2/NgIkCw/qvnUrOkIzD2pD2+89HsQ968VlrF/Y8VzvvVtaWtK+ffu0c+fOMxKjOhMIA+MhQlzACCJLFgRUO/V8sQFY26vaCoz9VluQsSitztJsNpteJqgfsLxkgbCWmpAyt2r8JdeNe7blQUCgheC6Nj5kvtoFk4qtaDSqeDzukUvGw16ntX6HsA8NDalarXp2R4iSkUjEI/SQX76X6yQTFQLLeNlqCKqvrY3Tmz5/3Dv/saG4vnO8oLF0VK+9dUqJ2GDEwfVmIWJj40eIz8bAuMVGkmDscQf1HZ2IIs8ZIrsrHGKh1uv9GNSG+2yzD/XD7OysSqWSduzYcUHZFIUIEeL8Ri/VmXBGkhfhA6xdVM9IKzy1Vqv52hP2yyOsCOryBnhS0DER/2zyYTdBrpfgOaJgEK/EdtIiGo16lTKIS4wPCREPHM/rkw+tuAP97ONHVa/VVKpWFY/HPat2y0MRhvhuuL9tT+Ill57ioATCScirVCqKRqMaT8V09WRUV09mVK0P6WceXTmPn75+VNsnsrr/2LL2z1W1f76imUJdx/J1HcsX9bVD7c9ONCJtysX0sQeWtPtU//LR9MYI8yS7uhVR5wJwD5CkX33SlEZTMf3r9xZ1sljXz37gkN79Q1s1kVk7z7DJKoNAENcjKbhTELpffj+oZMuzvf1Ro9HQgQMHtHnzZk1NTZ2ViRwhQoQIsRZ0W3vQyNwAbL1e9/QJemcTaIW7uMfuZ42BI+2fq+htXzihQ0s1xaPSzz5+XD981aiGEtFAPYbCFJeXduON3QKKJFriDolDqOusZ6+b8SE4TjAX3osjJdX26Mdw4HQ67SVVUmlNEYwtUsIhyY4xXNS6ddpjcw2MtcvNehmzM4VuxTxns15l2yAMGiRlBLnJ9gsct/zeXXTIoPedz/SKQT1rfrrp2YZSqeQlXV4IbpehGhsixAWMXjbOEEipvY+N1LJZchcZKqHXg06LBcQIgmuDxRA211oeYZVAXywa0YuvHdMfnKoaf+Fjp9WsdQ4mutXf9G8hAy2VSrXZlEMyEXkJINI/sFAoeOImBBAxEiska+FO5TikEXjXFIspFou1jb0lC1i7V6tV73vc/ukH5io6urxCLLYPx3XHgYKiEem1t05rsoOwxvF6zbjr10HAD1bIjEQi3nef7YFx+stsBEh6GBRxC3oPIbNY/Pt9rh9b3bXYXZ7ryOfzevjhh7Vr167QBjNEiBDnBbrxSuwaAVytWCyq0Wh49o5YNFqsJ+GrW5KWTUokCRG+Vq1WPfHNopNjitRd9IIHWV5tW5TYvpiA8aEFT7PZ9CrZcXiJRqP6q6/PqtGUbtmZ0fXbcp69HkmlrNnYaLpjTbDdrwcfCZ/wShLy4OT2Gj63L6/5UkOTmZh+5DGjikcjetol27zvWyrXtX9+JUi+f66qbx8tehy00ZS+9EhRX3qkdW4TQzHtHlupLN9z6v/bRxIDS9qEP2cymTaufS5YSoKfefy4RlJR/fU357VcaeiVHzqs//3crdo67G9b2wk8/25y8XoQNJYI/p0qrPoRkgdZSbbRAuagAtnHjh1TqVTSRRdddFaL7iFChAjRC3rpAxyPx1UoFFStVr2iCUmedgbvpO858DtuP06a8XhcH7/3pN79tZMq15uazsT0W7dO68rp1CqNKh6Pe7xSanFed23p1saum66SSqWUz+e99ZoxQRdCm7HXSHseimVsoJrEuHw+7+moJEOiZ+J+yfjxGcu5qWT3C44zBnBhjsF9ZB0Pquylurmbrkg/9H54wSAKTeyY2u8+29fojeI9ttXCIALjUvBYUpRGK1QXqVRqYOfQD2intVEY1J6lXq9r//792rp1qyYmJs7rpMswMB4iRIhAuMFL2wMSexgqVCBEhULBt380Fb69TNT9VCYELWZ+EzckC1Jy666M/vFU1fgHv7egH70ys+p3LLCYsYQVMpbJZLS8vOwlD1D9TbB4aGhIiURC8Xi8jdSxKEJcCTJyrgiTfLbT2GChae2h4vG4F6y3Ql+1WvUs1e31vNlUix9ZXhnbX7hps67dMuRZ5duKdI7LmPYakB0kGXSFzKC+RmcaZO1SKbcR4LiDCry7WbuA95tNp7R6w1Gr1bzn0U1ccTEou0vO+VwBFpjbt2/X6OjomT6dECFChNhQuJn5dq22vI3kRyp71lu50GtvYhIQ/eAnyHWyWuy2DtNL0eWxhULBcwsi0ZOqYDgojkBYU9tKny8+PKdvHikpEY3oZx435lnRY63P/221vh/gaS5fsdbuJLVxnHQ67XHRZrOpD9y7KEl63hXDikdX7i9JpbVaTZPDSW0ay+nGSET3HVnU5/etVM4//6oRXTOd0iOLde09WdK+kxUdWa7pZLGuk8W6vnGkxSNiEWnHaEKXTKa1YyTm9S+fGIqtWcRhL9NvT+vTCcT2WCy26j7+2NWjGk5F9cdfPalSralf+vBh/a8f2KJLJ/trr0DSBc/qIHgaPL2XvUImk2lzwGIvCa+U2hO4LQbJs8+EcLpWLCwsqFwuX1AWmCFChDg/0Utg3HIt2+owkUi0Baalds3Kj+v1qiFVG029/bOP6t9POfM8fmtav3bL1CpXGwoI/NYjvxZyfn23QS/B31KptKoFEUUTFONQVc7Pi8Wip+um02mvuhlHI8af3uFwzXw+77UBwuac9kBB6zvX5Ab/4fpwA4p30un0qgIYF5wPhVLWmdPqk9YRqRcug241CJAYwLVIZ2chj9V612Ih3wu4foq/BvE9JAUH3S9iE2ixJIfgMItGb8/Nff8G2fJxo5MiBq2FHjlyRMViUdu2bTvrEzrWijAwHiLEBYxui30nQcgSCkQyqmuCglyDDlh2mvSDBBHOs9FotFWN//Pds/rBi9NeLz6/bE0Wgng87tmbIwpGIhEvKG4TCCCRVNSQNVgoFJTL5VSv11dZh1IB1Gw2PQseW4keBCyZyEqUWskNboZkJpPxrDsh2ftOVnQsv0LS4lGp1lhJHnj2xSmP1NsxoSe6PS4ibrf7vBEZZwiZZ6oHVhDYZLjjN2jYIDWuAIMQMf2OwSbEJs9grcpzwXzgEl6/yr1BWmBtdGB80Bm0zWZTjz76qEqlkjZt2nReZ2OGCBHi/Ea3+bfTv7NWIAgSIJb8BaSgNh6djt0NQcfqVMHjJxL48SA/UROHJcRALBep5K7Vat56avtBIlwROCyXyytV4ZGo3vONeUnSj1w9pj2bRjxOye/C00nIDFp/XT4B6A9oeSViE8cql8v6xpGSHlmoaige0Q9e1t77mIRG/p+vNPSWzx9Tud7UE7dn9XOPG1MsGtHNkhKJCTUaDS2VqnrkVHX5vjmqzCvKV5unqs7b789IKupVl+8+1cN8x2hC6Xhvok69XveCuGebgAm/68Qrn3XpsHLJqN72hRlVG9KvfeKo3vz0TXrsliHfz/vB8mnXYWo98OM5zWbT2y+5Dgo8b+xL7fuMeG8xSGvV02F5OWihEQvMnTt3KpvNDvTYIUKECHG6YFuFBCGI37maFXzFJh76fV83HFmq6ve/OKuHZ8uKSHrpdaN60bWjigZUoAchaN4Pal/ickiS4uz6RIUs/LjZbHpuLNaZkn7h/C7Jlfyd37Hcj+uxlfiSvIAj96GT3muD7BybADT3BfD3XhLT4JJuy6VkMulVtQP2Ft20StfqfhCwxTxnk/07OnZQouEg4SayDALo5e49ZZ+Ejs0+JZvNes87vxc0X4BB6ssbHVwepMsTmJ+f95IuaR97PiEMjIcIcQGj22Lvkjn6ZFP9SRYn5AZLyKBJuNfFr9fAUND3dKvItdUut+7K6J/uSerRhYo+fP+SXnr9hCe82GzNTCbTlkVmsy7JQiVgzs8gFli40HudKvtyuewtjFgbEVyH0Eaj0bZKdNeCx44BC7YlWlRRu/AT+Wy1eK0h7R5P6bVP26G46r7jGRR0ZXwg3i6C7GwGgXq9ruXl5a7ZpRsN2gw0m01VKpXT0kfGzWQsFot99fjuBD9yVa/XPTt1Nh1kC0ut3qiWqPqR1kH3htpoAXuQVvUWJ06cUKlU0vbt28+65I4QIUKE6AXd1lxXcCHwjSU3nAvbS4KwQfO65XOdYEW7IHRaLzsFBKm2sUlidn3A+ccmklkHGUmeeEkFBedBQNCC1j2NRsPj4VQ6fOi7J3VwsarRVFQ/ecO0d2z4PmsX35NIJNoSL+09sNdrxzgowO+Oz/u/t1It/qxLc8olV1oLYelu7dybzabe+ZUZHV6qaTob06/eNK5YtHXN1VO90afHhjU12tSV061zaTabOlGo63A+ogeOL2vfXEX756s6tFjVYrmhu4+Vdfex1n2PRqRtw3HtHktq93hCe8aS2j2e1KZscHW5dUey/UtPN1KplCeE95r0ePPOrH7vmVG97tPHVW9Kr/v0cb321indsqu3YKm7b3N7la4VfvtB+paSJMz7QAsperKSKMJ9CLLDHRT8XNAGDZKaB/k99Xpd+/btuyAsMEOECHF+opuW48fNLG+C06BXSK1Wh35W5gSMg7jgVx4t6F1fnlG+2tRoOqrfuGVK128NTjbrNO920ivcf7P6CbzYdUkcGhryNEacIUul0qq2P7a4B25Ie0cs1RknWudIK/yRgh/0Hlwx0S3RvoA7lvwbFeGS2pwu3bHrFKRFV+Ue+2mLQVo3Y0digR+v2UgthkKtQbZ8WQsIGlOxfzpgvwd3sEGMgd+7Zl0C7GfgluylXF3P73zOVveoIKRSqYGfc7FY9JIu3aSZcx1hYDxEiAsYi4uLHf+dXjTW3satOubvZN9RhRx0vF5sgCALVNoGfT5IQOhmdWIX5Fg0ohddM7LSa/y+RT3/yhENnSJwVC7Y70okEopGo9512spYaUUwtMImhMuSRNurnEpyiKjtq2kXtGq1uio7C0LXyaIaGyL331zC/fBsWScKrZ9lElHdfuukmtWSqmrvL98LcaJvuu1RBEgg2Ehwjv3Y8g8SncR6snkHXdnsZh9SJTaI6/e7HmuHhW26PQfbS8r+ju0puxE4HZaXZJ0OOgi/tLSkvXv3aufOnd5GNESIECHOBZCY1gkIQQQY3WoQa6uHANdpreh1vqcHdzQa9QJwfue21jnd9q7knF0rbsRYkikJhkny7Pz4ua3EIZnQcm6+i2Mlk0ktlet63zdmJUk/88RNGkknPHcXxF7WY4LTLmyfyCC+R8WQm5hpx27vXEXfOlpSNCI9/8oR79zt8dLptKLRqP7urmP66qNFxaPS7bdOr7Ii5XobjYaSyWRbW6BIJKJN2bh2T2d0/abW75VrDT26sFJFTrB831xFi+WGDi7WdHCxpi8+0jr+UCKyEiwfS3hW7LvHkp6LlCTPIvRMoVNvzE6JG9duHtI7f3CLfu3fj6rakN52x4x+udLQDzhV/H5wn5FBJQb67QdtP3f7rDPmtVrNS8C2icK2JQHP16AD4xu9Z6nX6xu2Xzly5IhKpZK2bt163lpghggR4vzE0tJSV4dIdAVay9h5FI2CYxCE7TSn+zlf1hpNve+b8/q3U+1hHjOd0m/eOqXtEznvu/tFJz0NHuiuwTikuHoswDmxWq16LR0lea5COK+wXtrvaDabnpZD8B2eRdAcjgjsugWnt1wwHo97wWsckvyutd/gKM5Hbjsmzi+I51uQgBuLxTz9FqxnP9ArsFc/U1ql3Xe4IOF20NzHjz+WSqWBJAZ22w/a/SQJj7Y9FXMDrq1uBf3pcA8aJNx946BQq9W0b98+bdu2TePj4wM99plEGBgPEeICRrdMOBZsSW0VLMAu5r1OvFY87PW7IWbdgrugmyBi7VZSqZRu3dXUP96T1MGFij5036JedO2odxx7TUNDQ749VyCWjIO0Qi5TqdT/z96fx0m2XdWd+Io5MiKHyqy5Xr2h3nuSEJossECMlpnMYDG4GxCYNp92Y2O6223sxgbcdptfGxsDNjI2xgNW29DtbowbMZjBgAeQBEjGYJCQhKb36k01ZlVlZWVExhy/P/J9b+w4ee6Ne2PKrKqzPp/6VFVmxB3PvWedtfdeOxLzqK5FxOx2u1EVUS6XU6PRiOx+2JcL3/kyqceBa2GFaF8G5nf/2s2x///lzzmjx7dWxqw0IUdp+8EQlLe9Cbn/y+gDfZQCZhKZJnEDy9R5BXJ9i7K0/Xt8vaws4oigFag5H2CFS4iwTfxIssidFpPOY16YZ79NF0k9bgMCAgKOK3APSXp/2blodXX1UDIlVT3D4fCQUOVDp9NJbe/MvvP5vHf+TQqATZpXrMuQmygJ4F923oCH2+2TUGltKfl5oVCIRFuci+r1uprNpn7sd3a02+7ric2KvvgVa2q321HVkDSyymTOpc+eBYHHpLmNlilU8trzAPQW/6zHajq7WvSKf61WS++/1tK/+J3bkqQ/+4e39MpT8QlhJIDi4FSpVKL/u8dbKeb19MnKWE/t4XCondbg5UD5yI79hbtd7XeH+vDNtj58c/x6nK0XxqzYnzpZ1bnVonJaPM+wILkhDrbvtu+ZefJkRT/81gv68z9/Va3eUP/wfbe12x7oq1+7EbvNuAA47ZkmPROT+j36uB+ivl3/WXCv+S6JJrb6atFJp4vCPPttuqCfZkBAQMD9hDRVu7aSGp0NWFvytO9XlwduN3v6vndv60Mv84OvevW6vvGNJ1TMj9yBSNhyXWWS3rtp5lBAYNudk637jjReLW8TM/v9fsQZi8VixEe5vgQN+ZvPwvXgrug+5XI5KvSxfMCXVECiaJLehS5muW/SWoIKccsrbdV4Wo2GBFX60ff7/UPW8IvGUemVca1PpVERU5wGPy185zoYDFLfr6SilGKx6E28qFarkY6Na5V9tjgmngWSNtGtaT01T/egZel8ixrDbguHBwEhMB4Q8BBj0iRns/kRKtwMfyo4FvlyhOQUi8WoT2JSQDHN4p/jzefzKhUL+rrXbej733NTP/3hXb31VWuqlf127EykllxDGqWDCQgyKY0y0rCUJihN9TcklD46kEtICNlrxWJR7XY7EoHa7XZETOOA7eBgMIiCbbaHDOj3+9o21eJf/Zp1velCxVsVlPb6glarFYnWKysrhwj8IsB5Yxe6bKQh027iR7/fP0Tm4oRH38+TKniS7hfODNhUlstlLzG1vV9xUnDtPFm0MeYt6bRBDmt5BVmdV9/KZbgRgEVkEheLRT3xxBOHMrIDAgICjjvcShEfLKeA09j5EvEuzbZA1opOO/8ynyVV40qThStb5eqz5bPH6h6L5DgZvVxpToA6l8t5RaNGoxFV9tzqFPQzH96RJP3ZN51UuVSMjrvRaERVUxaIYvScpDI9SYiGx1JxzrWz12e72dOvPXvAgb/y1evRz90k2lvNnr7vPTc1GEpf+IoNfckrVmP3a0GQPS4oHodcLqfNlYI2V1b0KRdGAdfeYKgXd7t67k5Xz+50dPnlgPl2s6/rjb6uN/b1vhdHXLJSyOmxjZKe2DzoX37pZVv29cribDcnJRXD8yVFyROuQH9+raR//pUX9C0/e1X3OgP96O8eJFL8D5+65d1mXECYxIi4624D9HH8Fo5uj5cWBHa79vitaxZCqv0Mz7UV8u+3YPAirFtXV1f12GOPhWrxgICA+w6T9BSrS9Iaxp2f6Cmcdj6wfPJ3r+7r+9+zrbvtgWqlnL71M07pMx87bCFsC0jgSfT6jsOkRFK0GdehzwId1s6x1pUSEHTms/V6fazyHO3R6rokIVKJz3foPw7P9bkZ0U7Pdd70wVrAW70pzRoALcnl2wQ107hcEownsc7yk0WBivx2u31kVupJ6yb4AuPXJiFKo7FldWuLOP4V9zxPul8rKwfFWt1uN2o/6o4Puz8cqWhJCuCvHCMtuzhX3icE2TmeQqEwN61SWnzbR7ufNG69WXHhwgVtbfnXDvcrQmA8IOAhRa/Xiw2qkv1nM/GYGPgOwh89ZZbxgsdGbxLSBF4RZDn+z35sRf/PWlEv3evp3z2zr697w8HLHlGHoF6pVIqIjK1kIMAIgWSidfvGYdEijYKMXOdisRhlLULIbD8kSVHAnOArlU/WMogeQFa8lEbZky5RafVzOrdW1NV7Pb3+bEXf8IYTkg4Ik49sZrU8IuC/jD59HNcy7LTjMCk4617/uEUTzyH2r9LBtbf9mUCS4OW7XwiR+/v7Y4sZyCBjEfT7/ai6zB4vjgDdbndsUUMbBMCCw600YrGVz/sTUez5pRk7y7C8BPPuxVQsFnXp0qVgoR4QEHBfAsHCrX7mb+tWYxPI4DBYjTcajUMOJEmYhVfMU/xi7uFcAIG6fr+vfr8fJT4Vi0Xt7e1F8yiVTsx3OJNI48Fge31rtZr29vb0T35zW72B9OmP1vXpj69Hny+VSlGVEdfJZ9vIvA1Pc62ssRa0yY3YT7r36ec+ck/9ofSaMxW9yqkA57juNZr63ndva6c10BMnSvrmT133ir5xIDF0HtUQxTw26mX9EY16b99r9/X8bl8v7Pb10ZtNXb7T0XM7XbX7Q33sdkcfu92RNHI82Fop6NJmaax/+SPrJZUKs1cDTRL0LR+0vTtdnKgW9aNf/YT+7E89r+1mTz/14XvabQ/0Vz//0UNjIunZ8CVK+yrWbWso23aKJF2SP+xYs2MP7pjP58dEWemAgyHiW+BKhXgfh+NoiznvQP7a2poeffTREBQPCAi474C1t6+XLe9KWxEOH+n1elGVZ6lUUr/fj3hlGpRKJbU7Hf3E79/Vv/q9uxpKurRZ0nd+7mldWCtN/H7aoow0cxAFC9ZxjwIQG3QulUpRYhXzJolidl7p9XpRkgCcvdlsjn2XICRzfKFQiHgtjk5WHyShkmprjgnOj/275f0kuvE3P6fwyLovTUKn05lLezu3F/ui4LPDXzboQ5/0ewsbJJbG13bSKHAuaawFq+WRk9rw+O43CRb2mbK96RmTfB/d3u7HOm3x/Xw+H415+9lKpRK5KljgAjspyJyWVy5Tp553YPzixYs6ceLE3LZ3XBAC4wEBDyEGg4E+9rGPpSIQZFlSAW0ncbe/21FO8BZphQUI9GAwUCGf0zd8yil9769d0795/2196dN1Vc0bkgA3/XkQeJrNZkROCSZCNhB+6GlJEFAaVVJLin7vsxmy/fzYLkF3/rZ9g9iWrVwiA49t2+szGA719t/Y1tV7PZ2uF/Ttn3NahfwBMUGE9SGrmAQBX5QQhbB8HMbgpOcqi2VSnH3R6urqWAbkJHHf9u9h8RB3rXwJKPV63ZudaYMZ9nv0j2T8W8tVt185x4M9V7VaPXTeBBIm3d9lin9kFc8rEF+r1bS7uxslJhB0sEkKbiV+QEBAwHHAvXv39Nxzz6X6LAE0YK0e+Td939K8X5eVDDUJNpkQnmO5sZsAZvt5Y+FYKBQie3QqkMrlcpTIiXUl82a/31d1ZUWvPFXR+6/t68+9+Wx0be286x4nv5dGYiBJmrbvIW1/+L/tSdnv91WpVMbEsv3uQL/4sQNu8lWmWpzzJFj5L//rHX3oZlu1Uk7f+bmnVS3mJ1ZFu5imL2UWnN1c03p1X685PdQXP/Vy65fBUNf2err8cmU5FebX9nq6vd/X7f2+fvvKiLsU89LFddO3fLOsSydK2lwpZOKCkz7rOkEloZzr6599+Xn9+V+4qpd2e/oPzzS0276s7/2yS4fa30zaJ/drUo9MN4EB3ujeO5yISPC1Yibjk2dCOhi7CPmurT/iPYngtqKP9RKtjZKwzOD5vFsLVSoV3blz5xCnLBQKUc9X1/EhICAg4DjgpZde0s7OzsTPUQXKPOMm5oO0+uBeV/rb/+lGNJd/0VOr+uY3bapSnO/6O816Hv2PYyegZx34AIFutEbmSVxb6vV6xDUJPKNjusdF0hr6GtqNb66nfSTb6vV6Y/MyAUxbJMF+CKLC5bJwf3uOPv6DdXYWXmkr4ecNdLGjcLN0gZNj3LXJykXcwDmw93LSeHe5nKsX+vZpQRKI+3M0T8YY+8BpCdcs61Lgjh2eO5KHSUSx2igJJZPcDpbtZjRP3RA3qu3t7YhPWn7JuS/C/WjRCIHxgICHDIPBQC+99FLqhb7PHsVFFmFqGZXl7j5sUMmCjDF+/pmPHFR3vLTb1b/9yK6++jXrY9sgYCeNBw8RFwg+k5FK4JqkAkio7UeE5ZPti+OC42MyshM+/4bUIm40m81IvLTV6mRvQpr/r9++ofe+uK9iXvqrn3taG9WDiSzpniJYZcUiEiiOE8kEkwh4WnunpIWBJXhpCDwVYNYuNQuGw2EkLlIRb8V1MoIZ451OR/1+P1qw2L7y9Eal3xfjgeeApBKeOb4jJfcWOgrMMwNzd3dXu7u73t+REZvP53Xp0qVDi9iAgICAo0Kn09H169czfT6JVxK0SSOMHVXVZ9q5iDlaOpzAZiuhqHCoVqvRvIijkO0TThCLfZOc9t996hm99ZWr2tqoRsHsuPkJIcgej62kkBQleWKtidjkBtHsvF6r1fRv/+t1NToDXVgr6tMujldnEQh9z3MN/fSH70mSvvUzTumR9dLU3DCLXWZaVCqVMbt9i0I+p0fWS3pkvaTPeswcR3eg53a6uuz0L292h7q809XlnfGxvF7JR0HyJ14Omj+2UZq78G7BvRsMBioX8/rHf/y8/tdfuq6P3erot15q6X985zP6gS+9kDoBj0RG6wSRFqwtcc6SNOaGYN2EsKVttVpjraisBexgMIhESYIArMF6vV4kwNuqJlsll4Rlvl/mKWAOh0Ntb2/H/h6L3vX1dV24cCEExwMCAo4FhsOhbt26pXv37qX+Du/+OExK3gIf2W7re9/9km40eioXcvofP21LX/BUujYvWeG+732BStfBx9p+9/v9MT3OfYczF1arVdVqtahnOPonWqDLd+CjrjNmEk+zhULSKMmN30kjrdK6aVIRbNcE6EyT2rYkJQQSxJyGG7ruhrPCJoUepaOli6TAuHUTSEKSVom7AEiTbNDpdMbchLKAtqGMbbfIhqC4dKA5omVSNESShqRo3VUoFMbs2Pk+LluDwSDiqtbqPenYl9n2cd5ot9uJMQASBy5evKiNjY0lHtnsCIHxgICHBJ1OR7dv39adO3cyB5aSRAGCbJVKRYVCIQqgxb3wlxHUsoFkBBFEGF9v5ijols/pba9d19/7jVt65wfv6r99/SnVKyNbJhucg8hRhYANprVet7ZHAFsnaVT9wL/jYPuTx8FWiUM2OXdrL42I1Ww29TtX9vV//e6OJOlb3rSlV5+tR32F4shL2oVFHCDO8yAEBISPE8mURk4ESUAQjCPdtnoLSykSHax9qO1vnwSIyrS2ozbD0rZVQFS0/XkAWcl2wVMoFMZaMNjP46IAGSYRhOD6cQuKL6JnTxwGg0F0n5999tkQHA8ICDhSIHrdvn1bd+/ezfTdSa0zmOvgPcxdvvnSWjMuEuzb9kL2iR+4pdi5AT6FTTSJkDbBrFKpjFVk8z2uATagvp56CEAn1mpRFRH2oXGw/Z19n0MoRfiRFCV+2s9zHQaDge7tNfTTHz5I7vrKV68r/7IYyPba7bZevNvVD/7mLUnSn/jkdX3mY7WJltfLxLQB+lopr1efrujVp0fW8cPhUDcb/bG+5c/e6ejKvZ522wO9/1pL77824tr5nHRhrThmxf7EZlln6pODt2mq5xm70ijw/I++4nF9xy++oN+52tIfbLf1Lf/2Jf3Tr7qUSsBkjTUND7I96uGBBMlt8oebNEyw254n60/WF3BUAgKSxnpGSqO1aJrA+DLXGMt0BOK87ty5I0khOB4QEHCk6Pf72tnZ0e3btzPzuknay2AwGLMgd4PKw+FQP/eRe3rH79xRb3AwF3/n557WpU1/28l5gDaDboW2O//65iDmwGKxGOktbr9qW50tHcwvJDGyDQoVrL7nBsWxUp80F07SaQh2Sxpr5+dqnHDNTqcTzescA+eFzukDzkrTJkxOCshnAff4uHBcizSFPKzHfMDlqV6vq9PpRK5ZtFjk+tPve9I1wOWm2WxOpRNb+3bGMs5AOG257pckYrvjBQcKWgmA/f39aPzZdSCBdmlyrGOZbR+l5XJYzv2FF144WJfeR5brITAeEPAQ4Pr167p58+bU35+0ULd9rO13bOagJG+geFHA3pHgmuQXvFzS9AWv3NS//uA9vXi3o5/+0I7+m1evHgo82j53VHES7LPEHCIA+ZMOJgwmKCbWNNfEBtTjMBwOxzJI+/1+RDapwt3f348qjz54o62hDiyivuoNZyVNtqqeh2gyL0KwaBvNaZFGaLM9sVwgEmOVhYU/45iqlzTnTYAdy9VZ4Os3ZEFlj7WzRNjkfUC/MDIrsW21zgYsgLAx4ryxkk3CMq2JsvRDnSc6nY6effZZPfXUU/elVVFAQMD9jcFgoGeffXZqPodAmfT+tLbqwPZQtL0VlwH4lRVV4hL9XEvwlZWVsWQ4d+6GN7q9w5kbOVfmRNdC0wYPK5WKisVi5FQUBypsk+4h1bYkgzabzYiTUKVNMmyhUNCNxoEzzHolrz/2qhNaqZbHEvL2uwP97Xfd1H5vqNeeqegb/9CJ6PhnAcmj81hf4HQzjwr0XC6nM6tFnVkt6tMvjn7e7g30wt2uno0qzLt69k5Hu+2BXtzt6cXdnt7z/OjztVJOl7aqenyjoCdOlHVps6THN8qqlcfXZkkiJteH+0hS73A41N/8gnP6/vfc1K8+29Bzdzr673784/pHf/zCoe1LB7wOLjaPhBS7RvO1DqpUKt77wfhH+OffnCPtDEiupDo6n8+PPWuTxh6JOcvCMjmsxZ07d5TL5XThwoUj2X9AQMDDjUajocuXL0/9Dpy0HofPuJ8rl8va7w71A79+Tb/27EFV6Gc/Xtf/8ulb3jlwniBoanVF33xjW9hIo57J6ClukF86rHlSeMC8D1+y2qEF8zEOK2n0P9pvJnEDHHloiWKT1Shksr3hJUVJpGnb6qVxO52EZrM5lwKI4XAYBWaPU3FHWqcfiqzcccn9IUGB+wmHY1yWSqWJiZbVajUqMptV03W5oq/Yi+I2KszR79EtGWesOW2rAGlULERSsvusTVo/LDsBcZ6OWlnw4osvqlAoaG1t7Uj2nxUhMB4Q8ICj2+0mWqmlge1PnBazVKfOCwh2EMH9/f1D2YwE5/jccDjU179hS9/3rmv6id+7pa96zaY0aI9VdlsiQXBW0lgAXBpZfNrg1XA4jAQqJuI04Pjo08O+B4NBVGGB4GNtNDmGer0e9ZJrNBrK5XL6M28+p1eeLOuNF9JX61gL72lh+6bPAir3nZTrAAEAAElEQVSauCaL6Ac0DdI+JwjM9vMEw/k3FpH2M/zMBYkYwLoczAO+flbslwofAvq24s8K+dh/sUBj8UIVHckb9jkBaYjkMhcdR1lZ0+l0tL29rbNnzx7ZMQQEBDyc2NnZmTkImZRYFCdo2QrrZQNrSekgyIjtsy/Rj/mOORmhj/NFbLM26m6FOb2RbUU8Va+lUimaV/m8nZsnBcUBloWWN7TbbRUKhbGfE3DlnlF5TLImLX4e3VzRj3zFI3pxt6vCcDyxYTgc6ofed0vP3+1qs1rQt3/OaRXyuWifswajrTXnLOBa08t6EclvlWJeT5+s6OmT49XlO62BnnWs2F+421WzO9QHr+/rg063grOrxTEr9kubZT1xqiIXlrPDW+y1Hg6H+muff1Fr776if/uRe7rZ7OubfuYl/eO3ntf5rfE+8e12e64JznE8imeDtSTBbewrbVWSTRyGNyJs0gbAPiNuT9YkLNvy8ijaQoDbt29ra2srunYBAQEBy8BwONSNGzdmCmZOmyD30Rt7+jvvuqkXd3sq5KQ//amb+vJXrS1tjU9vZubpuKIPW4gjjRcl4axHIM+nhRCAdxPQCEhWq9Wx73L+01RP43pEcJTAPtW5nDcaEfMeSaTWutruO63ORwEJ8/+0mFcBRLPZjByjjksxT1qnprg2mNb5y8cr3RYAAIcDkNRKdBrE7Zd1E+0ebQtIzoGYAE64cMZSqRS1IXCP2d1XUoU9WKZ+eFTtxsDVq1e1urp6X7gRhcB4QMADDqwsZkHcJMPvlmkpnBYEo+kTw0RlM74AmYtM8J91sawLa0VdudfTT35gW9/wKWfGJkC3jxEETBplf2J3bXtBAqxXCIynFV18Il3cIgC7GCuQQqghvvl8Xn/0VafGev+kOZZ5BMf7/f7c+vfYCn16vR8Vplk8uDaR1lZyMBiM2Ytz/1zhO5/Px1rNzgu+YLV7vojbWPpTrS5prCqIhRkWYi4JdavDfdnMPhy399AicevWLZ08eTJ1ck1AQEDArOh2u7py5crM2+Gd7xMQjnIRHweCbyRZUhWOJbVryZnEBQjyIZZZkUgaBfOorJFGCWidTieqarb74//D4TA1JyfQaIEQ6AqQ8GdXxKpWq2OVPWurdb2qNogSauHAP//RPf3a5abyOenbP/eUNlfGE0ZpQTTtHB4n3k0Lkhvg6ouu5M3lctpcKWhzZUWfcmFkYdobDHVjP6eP3mhEVuyXd7q61ezr+l5P1/d6eu+Lo/tRKeT0+IlSZMf+xImyPul8WYwWEhBtSwCSAL75TVtar+T1r95/V7vtgf7Mz1zVP/yygwD8ouCuX6ja8fUkxSbTl/iB4G7b8LAWI7nUjg8SjSclkSzb8vKoKsbB9evX9fjjjx/pMQQEBDxcuHXrVuqEviQkvat97pf/8Zk9/aP33Va7P9Sp2kHCnm2HsmjY47Ut69AP7XyAZujjOASZW61WVBzjziXdbjdyIOT/FAZRlIElO/vDzjzLvORzEa3X6977SwU/vI/vra6uRrwabodOmzaJ0tpqT4ukdUpW4BZF8chRBsjTuk4C35rMXhMSU+34ieNX0/QOzwr3eO2zIY20fJvsDBdlLFJNLo0cG3AJI8juto6t1WpREdBxwVEHxjudjnZ2drS5uXlkx5AWQU0NCHiAcfPmzblNPklBqaOyFE6CnagQCgeDwaHzoNLVCnKFfE5ve92GfuA3buknf39Hf/xV66rkR9t1ibcllL5sS9ey0trpWGvDSchSDeubBAkaI6oSHC8Wi5FACkmeJATF9UFKiyQr8WmBwGf7vC+beM76HGBZaoF9Krbi7u8RDm3/pUWBMUibBPf6cvxk/GJhZC2XOp1OJGIWCoVogcPnJEUJAd1ud2xBlIRlW14eNQaDgba3t3Xu3LmjPpSAgICHAIPBQC+88MLcthfXCgIusqzWO2lhkwepNkDosqAqIQ7Wjh1+6gopcEOqZe2cWq/XI14A57BVRta1JQk+oTgpadG3PdsrGs5lK3rz+bw+sdPXP//t25Kk//6Nm3rtmcMVqVguziLikGgwr+Ai50ZiHttdpuhVLZd0Id/ThUt1SfXo57vtftS3/PKdrp7d6ej5na7a/aE+equjj96ywvF1naoX9eRmRZc2y3p0vaCnTvb06ImyaqZ1jyR93etPaK2S1z/5rTtqdgf6ln97RT/wxef0xIL6rNpnamVlJerpCOCAkiIHLttWiiAA3NiOewR3W+UjjdZmacbJsqtcjjowfu/evbEetAEBAQGLRLPZ1I0bN+ayLZIEfYFT637Z6Q/1T3/rtn7p4wdVyW88X9W3fdYpbVSX257MBnrRI+MKZyiMiNOZbAAb3mhBMJR+0OgwJFzW63VvIQ/uRDhRTtIifXNY3HfiioNwisnn85FOZIszbI/nJKALzrKWmNRONCvQwgjOUnm9TMdD2/YzDVzOS3KvNG5VTutObP4tcNHqdDpza1cUB+4Z+3TvP7yeQh2SeEmk5Lnc398/1N/edSmCw7IenNT2VFouz5v3+J0GN27c0MbGxrE4liSEwHhAwAOKW7du6fr165M/mAKTArfzzKibFyzZpJKYYBvVEVj8QJws2fwjT9T14x+4qyv3evrZD+3oq1+7ISmexNm+yViasz2yxyBniJlMjGSJYs3pQ5zYh0gKkvrm2X4yWGh2Op2xPs5kiKapkJiH/eW0wJLJnqdr8TiPbNEsmKayxBWArSgNeYSwAdujHitJiNwiz5fFSdJYdckniQr2/QFZJoHBAoLJc8S7h+C4BQsmrk8+nz82FlXLAlXjaYh4QEBAwLQYDod6/vnn5/aOnWTjd1SW6UmA62CPTlX3cDjU6uqq9vb2ojmLwLlvPnbnPV8gGF6G2GKvV7fbjTgcyZj29/1+P1UFtS/oh2Bng4fM9b55n4CqTfi0FUN3W319169cVW8gfeZjNX3lq+N7zcHb6YG5bLjBQAQ/W/USl8yxKMQlHq9XCnr9uYJef26UZNAfDHVtr6crzZw+cn1Pl+909OxOV9f3etpuHPz5zy+OzqWYlx7bKOvSVkWPbxT0+ImyXn1+XV/zxnNarxT0/e/ZVqc/1F/4hav6ni88q0/2JDTM4/wIfseNVfvzYrEYBcIZb4w125rHfod3ibVYpwe5Czil/bNMHIfkzhs3buiJJ5446sMICAh4wNFqtXT58uW5vPeYK+MCjHCbZ67f1fe8a1ufuNNRTtLXv35DX/Pajai1y7JBkBIOh6MLcxmFN9aFZ1LwGR3SAh6BNTQ8y86fbiCZuVYatdmZpPf6jo3Auz1WgvI+MB7427VzhxOnQZYCpHkjn89HtvKg2+16e14v8/iyPm82MVca5/24pjI2af8EnyYBw1apVyqVhWrHHFOcTbvby7xSqaher0f2/dJIz6Ty3SZxWu0bjTKuTahPq1xmMeFxsDDvdru6c+eOTp48edSHkogQGA8IeECxu7s7l+2ktTw56ix3H7DkI+uQ4BG9ne3ERlYYk14hn9PXvm5Db/+NW/qpD+/qy161plopH/V4tJOaFRCtHXRUgf5ywBRyJunQNSUgHZfVGBeQp18Q27BEGiCcEgiXRr1hZiFjnOO09pezJFJgSTQJyyQE01gjuaIbJI6gt13orKysRMkcECs3+L/I8/XZqCaBzNFyuRzZwPJdElJwUyDQQDCcBRqW7IPBILKVJdvW7b3uLj4eBgyHQ928eVMXLlw46kMJCAh4gDEYDMZEg1mQhndM09dw0aC/trV6xqlkf3//UDVPWl6MQMjnEZnsvG6toOGCzK9WvLSw1pxZQZCRZE7XmtNX2e224+kPhvq7v76t7WZfFzfK+tY3n5zIUWZJaJylMiitw9A82wBNAhwqLQr5nB5ZL+npsyt607mRxNPsDPTc3a5euNfXx7f3owrz/e5Qz9zp6Jk7VqC8ofVKXk9slvXmR1f03hf21R9K3/7L1/XX33Jan3ZxvpXECKlpn3OCH1ihuw5XJCVbXsk+4J2SIlEdJwB4pcu7l105fRwC43t7e2o0GmOBjICAgIB5o9lszu2dx/s+Cf/xI9t6+2/eUqMz0Holr7/82af0xvPpAqyLAkmOcEf6bHe73agABb2MYphJtvOuU6U04mcE8KSRU4+dQ9EjC4XCIc7PPJnEgeISPX3alZ1rC4VC1EbI8micYlyOYB0AJmEeLSCnAYmtk7DMeX9afu0eI21rXP0XHY8xZS3IAa2KFsGjCURnWQswjqrV6qEiG3uMNmnYtiTg88QWLKd0tUppuQm2xyEwLh24GG9ubh7rqvEQGA8IeACxs7MzNwvKtC9Ua+O4TCRNrEz8EC07OSFkEtRFOLHk8C0vV41fvdfTLz/T0te/8VRkgenrx81Ez3EVi0WVSqUoWG0z1HzXioC9jyD5As/FYjEix7VabYx4Qnz4m8ncVh9TaeyC7NQ02XwQ5KyOAbNUNmcZZ8sim1n79QD3+YIwYEeK9bjtZbO6uqpmszmW5ACyLBSmQZb3iq+Km+fGthygiofxQEILwQHf4syHZZOt45IMdOfOHZ06deqQbVpAQEDAPDAYDObmQJQlCEaweZkWg5PEGjunkcAFaOFiPxvHjbAiJMnPckq7HY7Fzus2qCdprO+du6+s8xT8igqPYrF4aG7F4n1lZSWy/uTY7DH8vx+4q/96taVKIae//kfPqlZON0dTtdRutzNxmVkEoCx92ZdV7THJVSEO7jVbrRb16nJerzmbV/W1p9RsNjUcDnWvX9KHr+3qhd2Bnr3T0Sdu7evKvZ522wO9/9o4Px9K+j9+9aZeebKsT79Y0xObJV06UdbpemGm697pdDIF/7FYBZb32PZVtkqsUqlErQdIbEGcT7O/ZeK48Mrr16/r0qVLx0ZUDQgIeLDQarV069atuWxrki7UGwz1Y7+7o3d+6KBo6NWnK/r2zz6lU/XlhEKSdBkSuWy7Rdf90J5f3BxBmxHc/XyV0rZSnJaGuC9igY2tN9qMa/Ptc2Vxz9UHeB3JaoVCISocIpBIEQWFOwQXfYUnWKun5UjTBsenLeKJS1j1YVn6VS6Xm2o95fJea9lfLBYPVYNzra3uba+jtcWfN6wLalq4rSHtOOF6YaHOs2yt8Mvlskql0sSEFbDsNe1xQK/X0+3bt3Xq1KmjPpRYhMB4QMB9AoK7VjBzbWh6vZ6uX7+uO3fuzGWfWW2y6TO4jIU91udYSFItTRaW7eGCCIR1M5mKBIDJYnMn0kI+p2/81NP6O796VT/x/lv64qdWtFI6IC+QS6oQpFHFOAFpKmQRPwuFgur1utrtdkRAERERhuKyC/k+1SpY01jbTmlUnY4gy7G5lukgTuDLks2W1rbTYtqJOiupXbTNe6lUytyrJw2omu50OlEltCWVdoFl/51loWD7lmcBgWuSLFxLSqy29vf3x66LvXdusMMuChjjLNp6vV6q4MjD1gsSDIdD3bhxQxcvXjzqQwkICLiPYBMGS6WSBoPBIYFmf39fL7744txa5fiSCpOObxonlmlAQiGtgaTRnOu6CxHspmKbBEH4F1UHJCq64PvYZ0oaa4VCxYE04qVwAeZ3RBl+Rg9GKlzhxPSI9HE9+zOsDfv9fsQdCX73er2xoDzbhu/77s9vvdjUj3/griTpf37zlh5ZzWdKiCQpIkvS5TRjFDeptMe1jMC460qQFa4Aj+MUyZaSVK/XVZe0XqzpM15eL+zv76vdG+iFu1291Mzpo9f39OxOV5+41VajezAe3f7ltVJOT5wo69JmSU+cKOtVZ1f1yFpelXw6fsQ7hwQMmxzqXhP4pkUS74Mz8mzSV5VrcdwC44tMas2KZrOpvb09ra3Ftz4ICAgIsKDaFwc4qoBdTenWrVu6du3a3NbRSZzyVrOn73vPtj5444AffOWr1/TnPuO8ep3Ft3+08xZcylbSwlm63W7Ep+iL3G63Va1WI74Br/Q5TMJRbas6Ks6lUcKn6z6JFom7JpXk5XI5CqIWCoWIO9BOJ4kDWc5L6z3b85n5lzFig6StVivi35YDxM3VWSuPSZTr9/upeNy07SK5f2mPa9F6EmPKTeZNC3cdw7WrVCqRbT9FUoxBt1Ka9wC/x/knzXowSxCd8cD7B73cd+4k+dqx5vYkt9qjy/9xmuJ+pznOLGvgeeC4BMalUdX4sltSpUUIjAcEHHM0m03dvXtXOzs7KhaLarfbkeXOysqKLly4EBGn27dvzzX7KuuLK2twdBIILkPO6FlCJiSg4pv+IKVSKSIAttc422CbPuGJSY1qmc+4MNT5taKu3uvp5z6yq2/41LNjve2ofmKiYwIiOA7JtBOp/TeklWqfJFGkVCpFleidTkeDwSAaB9Io442gqjRaLOTz+Uyi4TSTdlrCiaCbVWCcpnrGJTjzBIR/FoLjI8PWupFKrCz9nBiPcfc8l8tNlamJgEwPcMC45JngveFaw7KY497bxQbPJJZhtq8Ui6hlZlimwXERMCXp7t27On/+/LElmwEBAccD8KBr165FQpc0EulOnTqlM2fOKJfLqdPp6Nq1a3OtZsgqADWbzanFKRfMfTbonDdBQVvZgAsPyWNU1sC7JEVBZJLD3GA2+yTgxf4tj7GfJdnMrc4hoAy/437wOWv/bOdmy6F9XAvOyhxOv8lisRh9bzAYRBU9nOtwOIzmdDiuxbW9rv7ebxxUgn3ZK1f1Ry+tRueXBVmSLqlez8IROc8s3LjT6Sw0gDmPNZR7r0lmJAjNmoH92ISYSjGvTzpb1yv6ff2RRw+qsYfDoT5xu6Nv/5XravcOxvhGJa9Gd6Bmd6gP3WzrQze5hrclSedWi1FV+RMvB83PrRYP9XGld6r7fLvXAXHT/QyOWPv7+4fuCedlLXYJkNNia9J9XGYvyOMUGJek27dvh8B4QEDARMBPrl+/HiUzUomcy+V07tw5nThxQoPBQI1GQ9vb24daz8yCOB3m967t6/vfs62d1kC1Uk5/4TNO6rMeq0uDEceataAHZx1AoMz275YUFcoQjCMQzfxE1S2cV1LEv0g2APbfXGcL5koC28VicaydIzon23U1Fld3Yn6mICfOOdPuH62agKTtOY1G6laf82+0okmAl2bhcMz9k3QwElSz6mXTcLhFBsbhubNooT7uDudmLDAOGSu2l710+Lqw/ki6XiT9us6Sk46VbfL82O1xHXjuWcsAChDRqN1AOMU67XY7SuKgRYC1i48DyZkPI/r9vnZ3d7W5uXnUh+JFCIwHBBxjNJtNPfPMM2M/s5NMs9nUJz7xibH+M5Ki4HG5XI5E0GngihDYpUgjsuXrocExWsLnTkTuuTChMrlawdYeT9zkaT9PxXS73Y4smaUR8aB3oi/QxjkgtBTyOb3t5V7j7/zQrr76D52NjpcANBNjvV6PRDMmz1KpNGZnRBDfJUFYtCSBide1s0GQtcTcuglY0pE2U23aPopJhBOR1lYNJxFakgVIcJiG1Fkb8nnDXahMuw0Lxh9ZwQh/wFrj9/v9sYxgC0tEqe7i/zY7MksfVyzQ7fb5N2QQRwZcEkiCIFAPCXXthnq9nncRwnGnyXh8WC0vpYNjuXfvnk6cOHHUhxIQEHCMcfPmTW1vb0f/Z05hHtne3tbOzo6k0fyEyEWQyU2OygL3PQ1PtHOfj1cyjyOuWc5kuYqd7/k3Ak6n0zk011mrP4BASdBOGvVd5G87T3GMiCUWdk7zVb+TpAmfWFlZifgsiXEIT3Y+5DgQEX2YJCLBG92gJNe5VCpFvysWi1EPPoLjvsqhTn+o73nXtvY6A73yZFnf9KlbY/ubBnFJl9YZiXsxqVIHEZs2NVl5A707uQbzRJY2A3HwJZEQnOB8rTMVTgncc5y07HHkcjk9fbKiH/0TF/UtP3tFd1p93W0P9EVP1fUVn3xCL+0N9ZHre7q809Gzd7q6vd/Xtb2eru319N4XRry9Usjp8RMlPbFZ1qUTJT15sqrH1vs6f3LjULsc1/aUQIttQSAdJPT4nJJYA3FNbQKxNHJhm4Rl8srjVNkjHfQa97mIBAQEBIDhcKjnnntuTJt0dYWXXnpJN27cGNMOKpVKZJMtKXPrFODTeKorK/p//ust/cvfvqnBUHpyq6y/9pZzOr9WjCpX0QFJWOTYAbwUvkByI/+3lc3unOvjXlwTtFk+Z3kqGh3zE9fLnav4HhXgrq5nE8FsALrdbqter0f8xXI8An60C/LpeHEOQRZwWfeaEIyHf1gHF2ncMTPLXDjN/GTbrViNTBpxRH6OrXvcecNLqIafhsNN2z4oDaZt9WjhXmOeHRINKeyyleS2pWiz2fRq7owndHrGDA4Fdvyl5du2SMzXstS6XpEAAo8sl8vRObDGsfulKp4e5tPo0seN5y0bITAeEBAwFdzeO9ZG29p3u0KcDXpJIwsVsgOpYJE0UeC03yUjNAnWVtkSQ8RMa7NkA2o2mB2HuOpaRDP7XQLXZIzV63VvpTbCo2v902g0ou/bXuM/86E7etsbTo4RUTv52gpt9lOv18cqM7JmNxKAn0T+bOAfwmL7RVLZkyYw7iZbZIGPcPoINtVACOP2POg7OGtWnWvXzUKi0+nMFCyfR8af75pQwVatVlWv16MAcqVSiY6X5AjaACTdp2azGZ1zoVDw9r9JW4lHFqWP1Nn+jZLGFj/SKEPYnjvbgXi22+0xUlqpVCIBNE2W6MMcGJcOyGYIjAcEBMRhMBgcarWDIOO68FhYgQ7YxDUrqJEcFfd+xDEE7jdJWHCrBJhTyuVyxCvhlBwL8yXHNW2lhBs0JkANv3EdaajMcftyw7lbrZa3LUilUjmUyIpFn02OgxMgOrHvrFyEeyeNOHkcWDNguUkwutVqRYmsdn7/p791W5+43dF6Ja/v+NzTKhVGfGEWQQi3J8YqSRo+DsX4svtDAOt0OjO7D9hEX+75rBU50uwWiyQVu4BfUYXFccLRbeKs26LLYrWc1zu+8oK+5eeu6vpeT7/8iYaa/Zy+47NP6jMfGQldd1t9XWvl9QfX7unynY4u3+nqubtdtfvDQ1bsknS6fk1PblX06HpBT7xcYX5xfRTQpiUBiSc2qG8TZ0jetgkk7vuN8euzZXexbMvL4xaAJuFyY2PjqA8lICDgmOLevXuH3pO+wKr7GbiOawlO4Bndy7pG+kBiIVrSrXst/Y2fv6zfvnLwfv/Cp+r6c2/aUqU4cuOBq0oH3IA5xepRVHhzLCSdUemaJdhog5OWfxCQkxQlQxKU5disfmsrUvP5vPb29sbsqwGBcPRAWvT0+301Go2xADy8kuIeqx1nQVyCpj0m7ifnTsKoPWdcndI6qMzC53BYlBS173PbAPK5crk85lzDushyqlngriXgMtNYn1vM6rboc+u0LZdsy1LpYKxbbs6YTuI3XG/WdL5nC4eFtNeDMe9L0LDav9XwWaeBWq0WrXEI/JMkg04O/0f/nISHPTB+nBMuQ2A8IOCYotvtand399DPCYilzXaXNFax7YPNdkOAwEJRGlWBTkLShBVHIC1RzhrYstUVroUw58EE7WZ9MdH5jsuKrRC0r3v9Cf3Ar2/rx3/3lr7wiYpWSvmItHHcCE8Q5tXV1TGLS18QPgkQCSsEs32bgGDtqhBqbeCRLESOq1qtqtvtJpKleQT9IJy+CmGLWUlfWlAhZDMSp9k/Y2IWsukGigFV/25WrmvbQ+ZvGptRAgRxFj9pq8atBbrv89bNwM0W9lXRuYvher0ejWmSR7IkZyzT8lKafbExbxxnshkQEHD02NnZ8b63rKtNWriJa67oWa/Xx9x5EJR6vV7kaJRmf3Hvs6QAp503sr6n7XWw27e2kMzDvtYVca1kmNsRQuFgzHUIu+7+SBjL5XKReNloNKLqIpIT3H5+caC3sk3shJtaToIIxT5arVa0LkAE6vV6UX/BWq2mn/nADf3Sx/eUk/Rtn3VKZ+rzlRngDQi+cesa11lpUSCpgH2R1Jg1qdPaNs4C1xISEMBnnAEq61lDcAwkX/j4V7mY1z/98vP6i79wTc/udPWey3v6q/tdfffnn4me1Y1qQSdWcvrkk5sju//BUFfv9aKq8ss7HT2309O1va5uNnq62ejpffaa5KVHN0pj/cs/+cKGKsNutNax47VYLB5yf8D1APG/2WxmErCXbXl5HAXT3d3dEBgPCAiIhVvEAwh6Zm1VkqQ3Wl5J8JS/W62WPrHT13f/p6u62eirXMjpWz5tS1/41Oqh7cQdk6vL2PnSHte0GpkbqGPuLRQKEZdzkyrjkiDhofAvaVQMYQsh+B19oJnrSfLsdDqqVCpqNBoRh7EFVGngrh9IMLAJDZVKJTr+crkcJVtSAAE3lcaLRCZpdDbJYRpYLpy0r3m0c0oL64JEwh+aX1r4eP08gfOC1Xe5X4xN+DAJtpOcSEkGjkOa547PJMVJ7Fi12qjLwViz2vcFjgu9Xi9ajy1bf7yfMRwOtbe3p/X19aM+lEMIgfGAgGOI4XCoW7duxb7QITHTVvS6oBKdoKkrHKTd37IDMnYC81lSY8dJ5Q09kidVpiMuQoLK5bL+2Ku29P/+3o6u7vX0Cx/b03/zyetjdkAQFxuwRhBGFLYZqZMAQbTn1e12x4gZwW8bKC8UCmOVxmzLZsRCOJOE8HlV39Kb8jgCsmgXCEkgGD2PzFAq5V3CSlKKuw93vNqEizjLIItJlS+TCL/tkco+494JVHKRYVkqlaIkj729vUjUdvdP0D2u6mkSHvaKcXq3hZ6QAQEBLnq9nu7evRv7+zTzSBbQyoZ+3e5204pMy0qckzTGA3xzpq0SYE5kHvdVVVjghsJnqM4hkbHX641VlBN89lVFcyxxzkVxiPuM294GoRZ7awKRlldSyQsP+f0Xd/SP//NBf+mvf/2GPuVCcvXQLCC54rjBrTyj3U0SGBfzGOe+BBcSOd3WP5a/ERB3q/viOF4xn9cPfuk5/fX/dEu/d7Wp919v61t/8Zp+4EvOqfjyOpAEkmhs5XO6uFHSxY2SPvvxg+3UajXd3NnTtf2cPnJ9T8/v9vXMrZae3elovzvUs3e6evZOV//pWfZ8QxuVvC5tlvXUqRU9dbKqS1sVna8No+RPe71tkCBLMjlYdqD6OAbG7927FyVeBwQEBFjs7u4mFj6QBDmv+brX60WVzjbINhwO9XMfvad3/PYd9QbS+bWivvNzT+vJzfKhbWTtGT0r7Jzsa12zv78fBcVtr220urhjpeDFfs8G6jhPG0wl6G25I8kF/N5nJx8Ht4DHwjrR4EZjA6kETeEYJAlwvvDLSa1r5jk3LVtHSgObfMm4SDpOEhDmuZZzuZUtArMgDmCTRW2bU1wLkgL8SZw5TdW4HSeTbPBxD7IOtvV6PTpn37Xu9XqRhhu0yumwu7sbAuMBAQHpcPPmTd27dy/xM1Qnz0ruyCizNnMuJtk1g2UKmO5ER8YkleIExm2luNtbLw4uaaV/yttet6G3/+ZBr/EvfcWqyGnDHt0n/NqeQmnvVdwkbq2cpHHbHWspTzURpNpHMhCJ4gjGvCbuLLY3RwVI5yRhmUzeeVUKY5tlHQGs3SoZl1YEtn1YLUhqieuZOSkwbjMffUBYdK1JfYCUM+YJeu/t7UUuD9jgYhNl+8Mm9QeNw7ItLydlvR4Vms1mCIwHBASMYTAY6LnnnpsoIMX1FcwC5i6bZe+bM23bjDgsmz9YgZD2IATCqXCxfFI6mMeT5s44WGESa3AcP6h8de9FqVSKbDBtcB4BJ+m84vpX23nTVtzSHxARiOpwAp72uPY6A/3td91Upz/Upz1a13//6efVWqDw7KvUP26gwn5SJbhPKJ8F8Cu2iWjN+oHqLLtPH6/Fej6OF+fzeX3fF1/Qd/37l/SbL+zrmTtd/bmfvaof/uPnVS6OWklNOv96Oa/XrFf11MbBu6lWq6nRaOhGo6/Ldzp6dgcr9p5e2u3obnug373W0u9eG433P/GaDf3pN55QqVSK1oG8e0jymEYkDoHx0ThIk9AdEBDw8KDZbOqFF15IDJ5SIDKrIwoBXXow2+01uwP90Htv6V3PHbzjP/Oxmv7Cm0+qXj569zSXdzE/c/y88wkaAxJLJ+katLUBVpdwuao0CurZn9lkTPvzSZqYr4AHWI3Kcl1bSWzbnOBc6lt7oMHybxfzmDfTtFY5DkgqSgE4Uc0r+cN1IqTwhcRZguR2/cB48hXB0M7G60iUIomGAqI4Dc7GAaT4a4Y+bpNF4IqMB+ug4DpBTetMFQLjk1uoHRVCYDwg4BhhOBxqe3tbN27ciLU9ttjf308UDumHkvQCcq1ZCJbaqtVisZgq6LSsRX1cda8NQNPrxvaDSRMUlw4mLZcQlkolveXSy73G93r6+Y/e0zd+2lpk/8zx2P5IthcRv3dJrAXCQ9IxxgmCZFXaBAeEXDeIavs0InK6hIGFB1menE/WCf04TshxcPt/UiUFAaNCa55iPYK4HZsEFXzjAKLme9Z8vWLBpOcXMTJuIcQCzY4TX0WRtUriOOy5cRzWLo19Mk6nGTPLtrycZ4LEPHE/BAwCAgKWh263q5deeimqJp0Ea7fow6SKBRx6LPL5vFZWVqIgS1oRapn8wRfctklzzI9wAUQVfjcJVAXZOdCKQPBGeFe32x3r0SdpTJyxwk9cYhgcptPpxAppcFT3WsMNSbbkGrn3djAc6gd+fVvX9no6u1rSX3zzplox1vwIVMxT01R+z9IzftkYDoeRJT6wVfk8B6VS6ZBYPQvgiFT5W+tx3/WG+zK2LeKSZRhz/9sfOaN/+N5b+qWP7+naXk9/+qdf0j/58ke0Wj5Ixuh0Oomc2V0T8X44u1rU2dWiPv3RWuT0dW+/refutPXsna5e3Bvo4zebevZOV4+vH8hZbnse3M7up3XIcURozxMQEGBx7949vfjii9EclzSPo0/FBZFcDSTuM/b3aJXP7XT1N375il7c7aqQk/70p2zqyz9pLVGPXGYCkk8/Rf/gvYrOxDUsFAqxRS0u3Pna3gfLD9mmTXy0yU7wQzsXx91TdM6k+xXHZbrd7ljbPFe7dIEzEesSX4IFiask/aVt/+nuZ14V1ouGr2oa63rWJvNIcrbAgYCis729PeXz+bHe8C7cFqbArgPd309KFEX/hzP7dDiO1W1H6YK1EVq4NHI55f+upb108OzgIDoNlm27fhz573HllCEwHhBwTHDv3j1dvXo1mhDSvjjjyEe1Wo2y9ZPARAcQawqFQuZJlYlqkaDKKI7EMAEQHKcaNeu5UIEL8Wi1Wirkc/r6P7Slv/eeG/qpD9/TWz+poROrK9HCgKCq7WFNtSzXxZ2cIabtdnvqYCsCJJZGVMpbeyL2Cwm1147e1e4k72bDQYLSjk0qre4nkFBAJbNbrSXFX69p4KtmmbTdJPHURyjTZGCSYRlHpllI2rEsjZOblZUVdTqdqLc8trOTFqEk+JB9Og2WXWlzXAPjx5VsBgQELBeDwUC3bt3SzZs3x9q7TEK/349NkLLONHHzVL/fj/pAWtCz0FrrTcKykp0Ibk+aK7Gb592fRUzjelgxCF5Wr9ejqmw4Ab+zQhCtRqTxfo3u/GerZtPwXl8LJes+BHBzsW437/zQPf3nl/ZVyuf0nZ9zUmuVg+OLu3fuuMmaaOhzZzruoJ0M6wO3DzZJvfNqPdRqtcYES+5ZHBCT455rH7+yyRh//s0ntVHJ6yc+uKud1kD/w0+9qB9+6wU9WstHPS59vHIwGBxaT9g2QzZgUi6XVc5Lrz5b1+svlqJrORwONfBcMhKAZxkrx9FW9SgQEi4DAgKkg/n76tWrY+v1NOtONzEQFIvFKCg8yYnNchFJ+pWP3dXff881tXpDnawV9L9//iOR88hRI5fLRbbRceeF8w/aUq/XU6VSiYow0sA6U7IN5lrbMrFWqymXy0VJZlTf02qE+0AhjC0S4Vhx9JvUB57jcs8bjmN5pU0IQLeFZ7pBV1xvfBqke0xZ20Idx9Y8SWB80a7K5XcUic2zPVan0xkbExRMJSFpHPs04knjnmcEjuuu2eKeNTuOcC2w7cMY30k8mSRpWxmfFa4rwzJwHHnsceWUQUENCDhi9Ho9XblyRc8999zYyx3b5kmAFFlQ0UPfmaQqIYS4ZrOpZrOp/f39qCcNL9O0L9VFB2UgRPTxc8+LSptqtRrZyCDoTJM11+12tbKyopWVlaji6Ys/aUvnV4u62+rrFz+2F5FPCCUW0lxTegdS5eP2/mu1Wom9c1wQRLTgu/TYkxRV4FJJiwUmxNZFmsAilp1pMSkp47iBHk+5XM5LvCFsw+FwrB/NrJgme5BKNfcZ6Pf7h44rzX3AlhURnr47gH+7z3ir1VK1Wo1IeL/fHxN40wjzcVmlWXAUgfHjiHq9ftSHEBAQcMRoNpt6/vnndf369TH+lpbLWbEO2CAT3MgHRD0CgPyBayJcpLHmRaBbJKxwRJW0BXwOu0Bb6ZKVV+I4U61Wo97PtVpNnU5HrVYrEnwICtq5kWA5FRvNZjOye3d7fzebzUyJez5nIb5vHZh6vd6Ys9GHbvX1Y797R5L0zW/a1NMnR9cubeIYAmpa3A92ly4Ywz7Rj/tLdfO8MA2vZJ3jPvtJfBj8qTdu6n/4lE1JUqM71J/9mSv66NWdaOz4HCsIyPvAZ21vVo6FFj3Syxa0+cPjx+2ZPg2Oo6C4bFCJFhAQ8PBiOBzq+vXr+vjHP34oiT3t+4GqZYCbR7fbVa/XizS8JOzv7+vuXlPf/6sv6u/86lW1ekO98fyKfuitF/XURi4VX1x0UjtaCkFk65IDarVaFLi2elK73c6cENpsNlWv11Wr1aL3NTowxQ5wcDRBinbYJ73bsUa3OhiFDvv7+6nnRFpXWuBKI400WVxLLU+I4yFZkEVTSnIzOK4gSdbn8iONOOekGEAWTPPckGjtWy+6zwTaYRJsYi7FW3acsU2uCWuL4XCoer0eJV6wvoFH4tA1adzYorNpcBS6+HGsGF9dXT3qQ/Di/opaBAQ8ANjb24vEyuFwGGU/+ZC291yz2YxEs3K5fIi0UuEDKXKzq6jksZOLDcxb8c4lD8vqtUsFvN0X54UQS4ULpIoJ0rWLTwubVZbP5yMi93Vv2NQP/PpN/cQH7uitn7QRCTc2KE0WpluFQcX1LFl8ECLfOdlFh2thbbNIXaQl4q1WK1UF8rQ9/Y4SPI+Mcd894hpieXpUINHCR3hd666095YeolTr+M6fgIbtW+lWAGbtmXk/Ogscx16Qa2trcxXWAwICjj+Gw6Fu3rype/fuRbyy0+l4hYi0ohYWdTjh2NYYbIdAF72U4SNUEVSr1bHKZ18CVBonn0U6EblzHHNlrVYbs8+Da2IBOS1/oyqH62nt0LkWVBazfQLzVFxRUQ5PsddmWutEW2UELLd32y1J0nazp7/1n65qMJT+2CvW9ceeHhc6EIYnYTAYpHbgmWf1y7JgWynhumQ5me0Vf9QuNLblk4Vb/RW3BviqT17XejWvv/8bt9TuD/U///xVfd8XDfX6ixvRmLbftVyb5Ayqn1jbgazXZh7OAvebWL4InDp16ljy3YCAgMWh1+vphRdeiJLcKZaZ5V2ATkClpxuIYg5g/rGcgIDU9UZff+fd2/rYdks5Sd/wh7b0ttefUE4HAUJcMJPe/YusDmaOt/uAI8NfqtVq1EaGAgfb7iQrCOx2u93oHnFdcQNydRYciNCApXF+hU5I1fs03CSpYtm6T7q9xcvlchTQnxZZqqXvxwQ4q0n7+PNxCoYSo3DhXvcs2iEBf5I6AGsjNG/+LR2OBeTz+cwcb1ZOuOy2j9LxG9/5fF6bm5tHfRhehBTQgIAlgiqe/f39KJNwMBjEvrSyZGlj1xNnR4z9M9mLEE8IFCICfyz5xT7FZ9dI0Bxitwj4guL2vNxex/Qv4VwqlYrK5XIU9ON4a7Wad7Lm53y/XC6P3aMv/qQtnV8rarc90E9/8Hb0cxso7fV60QRs72OpVJpZ3HODsq54xLmxj0KhEAm9NhOToGoWW2gWSJOCwvdjgM4dXyxgLGgzIB0P6yXfM2GfwzQZmBbYXlr7LRZxPEPuc+5mpGYljvOoCFw28TtuQuHGxoZOnTp11IcREBCwZNy8eVM3btwY45WS/x2V9d1sg1U+kDRIsBiuw79dNyLsGyV5Ey1pZVIul6Mqg0W9a5N4GLzRtRHf398f45X0PFxZWYl4l68SHg7W6/XUbDbHkgikcRGS4DdwhWPXfhpx02eHngVuRa89j2KxGFW6t9ttdftDfe+7b+lua6BLmyV985s2I6cmtpFlXm+326lE0GULSvOGe7+lkT3oUQhmcfA9c5bTJ/H/z39yVX/9LaeVz0m9gfRtv3RNv/HMnehdgsV5rVYbqyrznX+5XI7+nWU80bt9FhyF5eVxErNzuZy2tra0vr5+1IcSEBCwRPR6PV2+fFmNRkOdTifiHZJfl8z63ur3+7FtQ9hPu92OeBPH9NvXuvoLP39FH9tuab2S1//v887oa1+7pmplpNH53tnwSOYdO6/MEySC+rQh6+BpEwzglbj+cKxolUnHbN366DvNvtgW1ePudbEOiL5rRys8q2VOAxI6+bet6IUvW62U6vZCoaBcLhdxSs4/y5ycplr6fizMkMY5mo8/2+K245BM6htD7nXPqqligd7r9VSv16M1WblcHvs34HPw16wuqCsrKzNz9KNw3zlOgfHV1VWdPn06WKkHBDzsaDabunz5svcFFUcqs7xA0wQ3+T02IpAoKmAJbtMXGEtlrEfc42F7CIWLWNRD7HxWRACxjt8jQForPpIQsBbiD9bPEDQyFeP6KFcqFXXaLX3t605Ikt75oV21eiPLFjJhLSyBmdek2G63VavVIosjhGgSAmwlBudSrVY1GAzUaDTGFjqlUunQMZdKJa2srKhSqRxKJnDPyYf70e6SSiyLdrs9dm181o+2Kk46EA1rtZoqlcrc7NbjQMaxm8jCYmJaQsR5U+VH/yYCHJBD2wMSsmn7oE5CoVCY2e5SWrw12nHH+vr63OyyAgICjj+oFL9x40am72ThINZ1xgcy7hH9SJSURqIFPLNSqUT9g11bcrs9d65ZRNUmPdDjEvg4NusGhO2nrWbCZcYGzKkOgjfxXbcy3Q1Cw8Pd+ZBqbheWl1BxOyuw5EQQtbbptAWSpB97/64+fLOlejmv/+OLHlOlkDtUuUErH4uVlZUxK3k4JdXqSXNYtVo9NoHjLHC5Mu2WQD6fV7fbPcRhXO4Ip1vGPO9rdYBoncaV4NMu1vR3vvCsCjlpMJT+xn+8oXc/d+DmxfuHwAhrMpskjsOZbRWWheNRNTgL7rdWUPNGsVjUyZMng416QMBDhF6vp+eeey5Ww/FpP1nftZPmcngDLiO5fEH/4nfu6K//8ova6wz0yWdX9MNf8Zg+5cJoPlpdXY1NdrQuPYvSKsvlsqrVqlcDBBTwkGxAOx2KDlqtVlRFz7zIMXc6nWgORu/r9/tjwUQSVUG3241aNVpuxvG5vNJNuCwWizPPo2hIlUpFxWIxssuHX3Me7MseAy2BXF7pwvJsN0mVJNY4HNcA3SS4/MTlzyQmu7BjExcDm9C6SKysrBzSU23ixzRrPav983/bxsteg1qtpr29vbE1VRaN9jgFmNPiuBXxVKtVbWxsHPVhxOLhZv0BAUtAs9nUjRs3Yiu5pezWwy6YaCZtw510LPGlypqKHXoHuxbJBMmkw4RinmTTrYChGiWXy6nRaEREl8mcYD69xSWNWfHQw8gHhFjJX+lsCTzn/JYnavrXHyjp6r2ufuGj9/QnPvngRR/XExP7aaxcrI3QtCAbkl6TpVIpSiJAeLVjwh4XFjSVSsVLNEulUqIgXiqVlMvlvGPufrS7lEbWTqVS6VA2LQsarE4hcYVCQe12W4PBYMxCi3tL0HxRgdto4fjy88IiZNYMWKyzGCcWWIFSSc47gr5UrtV6EuZhd8nxLhPHiWwWCgXV6/VjdUwBAQGLw+3bt3Xr1q3Y93ySRVxavrmysjIxwc21yyZAbv+PLbJNPLPW0tixI4q57XnmGQwl2YvqHAQ0XJHYLxyK4KDlQwTrSLT0gfMGafpmSvK22WHfvp9TVdNoNMYqb2YBQmKr1YqCuNy3YrGoX33mnn7qgzuSpG//I+d1ekXq9UYVSnt7e9HYcW3wWWf48KAG4BD/bDC51WpFCcc2cZWWBNj3S6OxY6/btJb5acG+SqVSJFjncrlMXO2Tz1T1g196Xn/p311Vpy9977u3da/V15e+an2MYwNaCLickASbQqGQ2mp2Hu+Mh93y0hWxAwICHlz0ej1du3ZNd+/ejV23x807aXkH+lSWuet2s6fve881/f6NgznpKz5pTX/m085Ig140h66srIzpeNK4DjWLZXMasC+KAnCp5DwpwIHb2spuOBFJpP1+P5YjuYmTPq0RTm7vFRyc7VIARTU38xxV9TYxdB56Hrwexyh6zVPERNEO52T5Nm0p4d3u/D+pbSPf92FehRlHAV+7Q3u/cOhCA2esMe6ptLbfXzSvZNs8C7T+mmWfFCuRbOKCZ88dJ7QX4FmY9D5I2+7puCGLI+wycNx5ZQiMBwQsEP1+X88//3xiADSJdEwKKjHppSEtSS9HKnmkA+KFsOVOVtb6yBUvbY9Jgq3TTnZYl9vvE2jj39Lo+hAAR4hzbSghZZOOy/0u8F23Yj6nr3ntun7wN2/pnR+6py995Zr08vG1223V6/WI4Pruj+0ROQuwHLJikq26kkZVXxAkyKm1NbVOAT67bBeQMh+ZuB+reqRRMKFQKBzqg0iGIQkWvntnSScguLzoRAErxM+zSt19Hmxlmk+gtCR30nnb3puz4CgsL48DCoWCTp06pa2trfs26zkgICAb7t27pytXriR+huRGHyYFIBGS0rybk947NqmKv12+StCN9zdVEMyvVoyAb0zLm2gn4wbdmc8s57VCnu1RB/r9flT9Cn+OE1bikr9sb3H7fdxXEHzcgDyVtAT3gU8omwZuMgPHVavV9NFru/q777oqSfq6N2zpU86OEjwJirvHQEIr1zIOCLE+kapUKt2XLkSSonWAG9RFuOR62d/Z8/fxady8Fi3U2edjGo7xxGZZ//itj+h//rkr2u8N9cO/dUe7nYH++087P3ZeNjnGN37tcUw672n7tLo4ikSN42ClXq1WdebMGa2trYVky4CAhwRXr17V3bt3Y3+fFExOw8kIYqfhlWhu77/W0ve956Z2WgOtlHL61s84qT/69GZ0HFhzU5xgYd+l7ruc9xqOdy4vTAt0RZfTxgUbKTii/aP9XC6XixIRScq0854FxRm+uZJzddu1WA7i9hon8Ozbnxs8nxaWZ1PFvre3d2g+t26mHN/+/v6Ye1WxWIx0ykmB8aSxOa/CjGWDYhtf4gKJhMViUfv7+7HPm+9+Lqs95CL2E9eGJ4kropOncQeaFx9ctlZ5XALjm5ubOn369LEOikvBSj0gYKG4cePGRMKICFar1Q69nCe9QCdV9bqfjYNrRQIQbfjT6/WiLD9pJOxIimxy6GNu+8pkAZYq9lowwQN639jPUMnb6XQiUlAoFNRqtSKRE1LOOWDhyHF2u93YCZvP23vyRy/VdW61qJ1WX7/w0Xtjn6eaKI5sY4U+D7gZpp1OZ8wiyU7ohUIhEmJ7vV50DRFAqUBKA9/Ytj24ZwUWO5N6TzJm6M/pu65Um3AffefIveLauO4BLJ5mDTxzHIsC7gHzgEuoqKxLexxJwEZsVjxslpe5XE5nz57VK1/5ymPdqycgIGC+GAwGunr16sTPEdj09ehOWuDjhDKPgFuv1/OKlbSuqdVqEd9YWVnR6urqWNIZYhyfJwkwK9g+lbvAtR/f39/XyspKxB2xSCdIDR9A4OX89vf31el0xs4LS00pXpixVuXueflcZqjuSBKVpuXdPrTb7bG59dbdPX3Pu7fV6g31+rMVfcMbTkjSIatrywsZS4y5NNzBN59TRTQrbD/4SQJNpVKJKr/i2uLQez2ut7x1VeKZtM8jDgtp+qtb4E5kEXcM88K0CSlnV4v65195QeuVgzHwf//eXf2j37x+6HNpBMM0/UCPQ3B5WiyibURalMtlPfbYY3rqqae0vr4eguIBAQ8J9vb2EoPikqJe07RDcTEpSZJWMWnQ7nT0E79/V3/tP1zXTmugJ06U9Pe/5Lw+67GD/sDuuwldiz9oftZOGw5CwiZz6DTzr6SIX/f7/Yn6Km4wxWJRrVYr0pgkjRWsUHxEghgBcnQwilfcSl8XBOPTcH8SIePuzXA4nOtcQKUuoBhFUpSMyXnbqnt77Fy7NEU8fD5OJ5qHfmLb3CRtj3NCo2ZcWJBsy/Z8PNX+zNdHvdvtTmxN5AN29Pb/2NQvCvPctt0WrQfSYNJawI1BzIJlB6mPWh88ceKEXvnKV+qRRx459kFxKVSMBwQsDK1WS7du3Ur1WSsG1uv1SHSb9ALNYgc06eXo2mrbTDxbwYEoQZUMpKnVakU9TSCcWcRVawWN7TwVQr7MSGvfbElgoVCI7KSx5nMz6uKqEpJAJqWdaEuFvP7kG0/q7737un7yQ/f0Va87rXqlGH1+EuKqY6ZBv98fs5dHyEVgtX2Y2B+2+ZBRSVFFVlJPHgDxsIQakm3H8bSwiQXW0hEx3Qr43HfsP21AgHOyzxO28/b7bvJFp9M5VH3CmE973xh72LSTmUtf+EVlq84jw1c6LNT5rF7jUCgUNBgMYt9j88oaPQrLy6OuXjtx4sSRE96AgIDlYnt7O/V7k7ktn8+rXq8ntvMBnU4nUyVqEkflOK3wh0AVV/ldrVajeVcauRQ1m83od1lghRKC3MxfvnO0FeOua1KhUIjaiPjEONfKcxJ6vV7Eba2AZbkFnJz9TZp35y1i2kr+f/QbN/T8TkcnawX99S94VMWClC8VI17J+IKDWlcphOk0wrjvM7hBzWr1SPURQNimH7ptBcB1t2N1dXV1zFbcdQ/C0tXao9v9tdvtKPnEnicVUfStnwS3H6N1YpgX93Ph48NpsVEt6p9/xSP6H3/uirabfb3z9+/o1l5bf/mzT0saVTlNOm5cE+KegzSB8+OKeVW6T4tSqaT19fUj239AQMDykTbZElg7ZKuboLf5kOWd3OxJ3/eu6/ovVw62+wVP1fXn3rSlavFAe7MVsdLIAdFtQQKHoqe1bf9mtZhpdBgKhQgo01/c1yrGttyBZ8A5pFGyKAH0OK0zLUiOHAwGY3OKTS4lwM7xTcK01ykOaBdcR7QieqjjBOCiXq9Hx0xSatrgr6+HdbPZ1Orqqrrd7ky8wVatk5DBWgce3Gw2x/RL+GMul4scRnFGdY/FvfYuRyS5w+XGWazwGYM2SYTzWmRgfJ7W7a4WmDYRh9ZGcccybf9zH5ad/HjUCY7H3TrdRagYDwhYAIbD4USrSx/y+fwYCUp6gcb1d54W2IhT/SKN+m271jzY2CB0USk+GAyi3tNZSIa1fbH2kvTiwfa7Xq97J2gqgjqdTjQJEJifZLOTFpA0zhcLpS94el3n1kq62+rrpz5wU81mM8r0TIN5VjdQ/U7PabJKsZmqVCpqNBpjlvcE/DudTkTUpPRZbQjNduKrVqtqNBpRgD2uQnsS7DbJgGQM7u/vR9e42WweOl4+T79MMm4JmEOEOTZfIoC1FLVAIJ8EK1byeZ6TRWNeWYmzEGLeZb7scrK654FlW16urKwcqXX7cDjU7du3j2z/AQEBy0e73dbNmzczf69cLkcW11Iy58hqz5ymLxt2fpY72fmJ97e13G632xGf63a7Y1bLacEcA6/N5XJRz+tarRYJqSTJWVgeiejU7XY1GAyixLt5Bh+5HtZGk16R8Ji0PBYRcx4gEe6nPnhHv/rMPRVy0rd/9imt5LpR4NjtZ0/vwm63O3bcaZ1dEKlWVlbGE1FfDmojnqZJ3nThjm275iChFsCL3R7pzWZTjUZD9Xp9zFGL7VlnAh8Pw5nJBQkFk4AVKc+euxZcpBA2C9eqlfP6Z19+QY9uHIyDX7vc1P/+H0aV42mfbZJkfMcyz2TBZXO8oxYwG43GfdtvNSAgYDrcunVrqqAgQXHm4aT3V9q5+qPbbf35n3tJ/+XKvsqFnP6XN5/Ut37GqSgoLh3MQXAB3le+ylv6WOMuyf/hIQSOs+iDtn0lhRokCNi5p1qtenUPClGkUesbWh9K89MDbUW1NGpVguul5ZRpA+9oafMC195yftsX2zoWcY3glfv7+5nHrOWVdqywrUKhoHq9PnMQjyC4bYdkC4/ccUq7T4p64JXWmYEiKv747pkvSYBjmOQkROGO5cDLStQbDodz423umiwtp0pKspilLaxvW8t0NJpXu8pZsL29fV+5OIXAeEDAAnDjxo3ML4JSqRSJdlSrSCObQpeQQPjSTuKTAmVkT/JZN2sNIYLgq82UbLfbUfCaHsxpUalUxno4QlwhvXt7exGxGAwGUSU01wdyxaTmVgbPK1PJTrBUrkhSv9vR17zmIMv+nR/aVauXTUyh19A8gAURwKqHe4Sgayu4uN7udUp7Dwmodzod1ev1yIqU60Umr6SI6Fk7y1qtpkqlcsguimp3C6pvWMhwzFagZT8QQiqyID5U5vBckUHrE7mr1arq9XpUKYNNEkH1er0eS+jcSiGeV7sIW2Tm4LxEvTgBNy36/X7kIOD+/H7FcSB5t2/fvq+vYUBAQHoMBgO99NJLmYMn9CmURgE52s1Ifn6EWDcJVNjGgcAuaLVaajabkfhi29PU6/WI93FsCDVuX/I0sP3E4dNUBLTb7Wh7VKvwe4Q4PjsYDMYqWDjfec0BVjDDspDrMEvgfV5Js71eT7/93B398/9ykIj1Z950Sn/4ia2oL2Wr1YoSZRk3uO30+/0xbpul5YlNpiCxkfmO7SOcct1YF8AjK5WKVldXx3iltbgHCI2MTcafdTiQRtVN/JsKecRluKwV2Xz3gUTSQqEQWb0iDPd6vUNcyf0uvBLBk6p36eCZW1afyGlQLub1j77svD75zIFQ+ztXW/pLv3g10VnIBxzKbOLmPO0upeVy1HmKr7MgrctdQEDA/Y9Go6Hd3d1M32Gu91lcSxqr5gZuGxsXw+FQP/+Re/orv3xN1/d6Or9a1N/9Y+f0RU+vHvqsW9lpk+/o4U0gkAIbAvj2s1kDfwS/2bdbqNFoNMacNQnEojXl8/koWbBUKkV6EBwwa0FRHKxTD4mN0iipbxbuOq8Apq2ihy+trKxE+hr8CRdQiq9yudwhbSut1mU1QFrk1Ov1sTY/tJSkLRKc0W2RhNZZLpe9wU5cVPf399VqtSJ9kvUbPBKNlspxApm0ccJZksQAu3azwPIcrZIiMgLuhUIhVmemgp3r2O12o0C53f4iMY9x5Ws/ZR1w04AKe/tOw8l2Hlh228dFtlZKi263m3mOOUqEwHhAwJxx9+5d3bx5M7WohTjiWrlgHUi1ihtEI3id9kWbFMBjf1jAAETTVqulVqsVCUgQCysq0mM8ywSC9ZDbK5yMQXvMEHEsCAnSW2JrLZba7bZWV1fnZqvnZhjaTMvPe7Kus6tF7bQG+oWPTrYrBQRL532MNlmBLERplESwt7cX2adjSWQxTTIBFkAkM/iyInEjgPSxSOE4+T4EMIkAQ6wZf9ZGHjIKMSRhwFb1cD0gpRb0lmy1Wmo0GpEALGms2ozfuQtD3z11XQTmZaEfh0VbiyNWp0G5XFaj0RhL8pnnuS8zUG3HwlGi3+9rZ2fnqA8jICBgwRgOh3rppZeiSsk0sHOY7f2M3SUBX5cXEjROI1T0+30vV0A4ZQ4qFApjvbSZb+FQKysrY9WKuLQgRmWdy1ZXVw8JJP1+P3KIsUAchZNw3RBPrWgHp7Ci8KzgOKkyaTQaM8/dWGXOAzutvr733TfVH0pveXJNX/aK2qF1B7aQjE/Glk/EzAoqh+CJ3D/2jyuSW11PAgTrJHilDXxLitZYAL5MsiiWo4wJ11K02+1GtqUkYJJg4d5Hfo4zE8dGogjnarmSvcY+S0x4sz2f4458Pq+/+8Xn9YcvHLwTPnqro2/5uavKFUpj74pJKJfLY8kX87ZrXKbl5XEQMCVpZ2dn6W2JAgIClo9Op6Pnn39+rOp7EmxBASCICW9z51g+E5dotN8d6Pvfs61//Fu31RtIn/V4XX//S8/rya3x9zm9mRuNRtQqEeB+iC5ES5lGozEWjCS4CTdOCwKzdo6xlbj2/e1yo06nc8hBBqdGuGScG+Y0sPuncGVW18xCoRDxnHmA7RAwRh8kYRA90d5rEhFcbXHaBLZOpxPxbe6fbb9INTsci/UKGjSckoIte1yuqyDckOcM3ZLxylqK7bH+Qi8lTiCN6112rUVVORp9t9uNAvckbbg8w7aHArQasPxn0cmW8wiMxz0/aRO9QafTiZJ9pWxtICZh2e0Pj0MRj3R/VY2HwHhAwJxBFYHN1ItDrVYb64kDCAzbntb0iXaRxX4OwkQVsTTev8Z9cbFtKqRttmE+n48CrUlVt9LIbtv9g9DoThZkZWKlaCs1uC5xFTVUrFcqFe3t7S3FDq+Yz+lrX0vV+N3EqnGbfOALSs8D+Xz+UNW8rV5BtMRKlF7dNiMyK2xWXblcjkRArFk5BhYlVPcwpq3FFbb59trEVd+Q5ck5x41hW61NYNZas9rvkbnL2Oz1emOEkh6TuCjYrESO00cC7M+WkTk4j334xEFb3SQpta0p2ZjztoxcJuGapwNFvV7X2bNnEyvEkhCqewICHnwQQJNGDidxqFQqqtfr3p55bnUlwWCXV+L8kwb2XQ6fJUhojx8+AueQRjyEIDPCEcFKksniAlQ2eE5VMJW8lk9II7GDiiKXE1meHdd73AZA54V5tjyBo8xrm/3BUN/3nm1tN/u6uF7Ut33u+bG+lCQiYkPJ/hEJ+/1+JOiVy+Wp5mnOBWEWYZQqF1uRhdhobVXtPgly2zEbx5HgxJyD5bbu2OZZQaBE4LViHBXBCKAIwlRBSaNnqVarja2zJI0layRh0eudeYwt3hHf9Xln9XmXDu7dS7s9feO/eVb7vfF+8nHvOt4RuAe4Dk2zYtmWl/PaVz6f1/r6us6fPz81zw5tegICHnzQYi8NVlZWVK/Xo3euBVqepKhXNFW3Fr53+fM7Hf3FX7yqdz3XVCEnfdOnbuo7PvukTp84qBSH1xBgtrzUvt9sMLxer4/pEySrETyE4/neueiNLq+URsUGdl6npQnzORwYe2j4qy9JkGRICgfmFXycZ2s5gorwnHlbvePoBOjBzlqF4pVcLhddVxIK4JVZE7msFTlulVwznGjglQSObbscl0My/hnf2Pz7gLW6rSJnG6w7LJeB71qnAQs0eBxncVS1rlu0EbDPY7FYjJKkJwV+fZXY88Y8NEHfuOcZQ5+0mrMPxBpwV7NOVfPAMtvlkNQxD1SrVZ06dUqnT5+e6vsUq90PWG5Nf0DAQ4ALFy6oWCzq5s2bkb24j0zYSYnMMRb4ZHhJivr30UObz0ICs7xsrH1PHKhQxzqSjEYqu7HJhtCB/f39Q/YrnKebfWaFJrIAsdSEMDDJ0yMcO5vhcKh6vR5l7vkwHA7nmuWVBp/35Kr+9Qfu6nqjr1/46J7+xCevH/qMrX4B3Nt5iDpk6iI+I0CRfSlprOoEAsZ1tZ/JChI3BoNB1B8UUsGiBiJI4JhgOpmSVG9jDWnFzzSiIFmniLRuJRCBemm8qoqMzHK5PLZ46Xa7YxZEtqKNa9Tr9aLnqt/vp76PBInnKbK7IGg/rViapt+sPQeeYRvscM+R854nlml5OQ9ie+7cOW1ubkYLKRbGPrA4o8qTfmk2Ez4gIODBRbFY1FNPPaXnnntuzBLSBVyz0WiMVRKQKGh5EfMwn7GJbdgJpgEJdVTuxgEuBx+gAttyEIL5brW5T/jyzZ2WJ1gLddoTYb0MH+H8OW+f+4vFca2k5FrY47M8flr8q/fv6P3XWqoWc/qbX/y48oOu8i9XUiOqc+1IOpBGVqfVanWsR3fWiijGC+0A+AMfg+9xjxEcsVXn/9YlAXt0qsAnXR/cp2zShtvPm/1Jo6A2+6MlEBXilg/Dz7lvJL0Mh8NIoCXYH8cPXLCeXJQtN8/nLLy1XC5Ha7e/9FmntV65rZ/+g3vabvb1jf/msv7l1zylSj4XJRjwzLLulMZFUN5rvir9aVEsFpdqST8rh83n83riiSfG+qfG2STncjmtrq5Gidn9fl+rq6uR+D7PwEpAQMDxxNrami5duqTnnntO7XY71lqchLRGoxE5MjKHos9ZMCe672j3ffqfnt3TD733ttr9oU7WCvr2zz4VtdhAY0lqKUOA1AYGqQIm0MgcjzZmK7V9c5jrICNpzFWQYgmKK2w7P3g5Vtu2YCPp/X4cW58w57rXgkDrrG4qaFL2PnGtGIM2gI2WRdDabaeYBVYbZfucL/M+1dZo1wSo0cQ4f3RGXF2r1Wps0oU0SoCzOrxbXQ734zi5TqxpWNdY/YcxzTrL2tRLip5V9NZerzfGw5LQ7/cj7r6oNRAa/7TBUzi1C86fNSbXvF6vjyWsYFFvx3u3272vNTbrzjYt1tbW9Mgjj0TjcDAY6NatW15NmWI3u87hHZ7Whe44IATGAwLmjFwup7Nnz6pcLuvKlStRjxtES/ppI1Zi/yeNMiqtCIKtCmIigccsIJhiK2TjQDCTXnlYURNstUFBl/jaICeIC5ZzDrYPNJMvQVKskSChiKgE+2wfakSyo0Ixn9PXvm5D/+C9t/XOD93VV752S/nB6LyTRDh30p4F9CjEzhyrRwik3QcTF+OSezdNVijBOgtsgBhTdtxaUoaIb4PgPC9u7z3s0W1VPASXwKy1OWc/jC2SPOw14BmVFO0TIHhyTByvJbV2AQERSHMNSS7hOZs3WLhNWpjFYRK5J7gg6VDyAmPJR3QJjmNZOutzu0zLy3lgfX19jCSura1pY2NDxWJRt2/fVi6X0+bmpra2thIr8ZfhhhEQEHD0KBaLunTpkl588UXt7u6OVTkwf2Dxh8BgE+BY/ANrRUklRlZeSYVwGt6CNR2cgH1RiW17i1sQPLdik6+dheWU9ntur2esOBE7EaEQm2ziFrx3kcKl6+6TBLiM66QTd/2xNp0mSfR9Lzb1E79/EFT7Xz/nvC6uFVQsViKLSWkUALfHQLIuVdEkakrTiWpuEgjnQ1WR7fmJmMj4IJCN+AX3s33jgRX7LRckYEDSBv8n4ZTgPU5h9jhJ7mUNx/kjBNuqMns9uab5fF57e3vqdruq1+upguOsgxaZdDlLUqcv8PBNf3hLG9WCfvR3d3SvM9A3/PjH9Q+/7LzOrY3fX1tF5j7/rD+5N7P2a122iDcrl8MBw2JzczMaz7u7uyqXy9ra2hpLynTBdQwICHjwUavVoqRL2nm4WiXrdPQk65Dirt2pWJUUcRV3fd7pD/Uj/+W2fvFjB3PmG89X9W2fdUob1ULUwsTyjDigC9ogoW3TQ/U67zPLs3xzmG9Oc39Gkhyaki0sIRmw3W6r2+1GvJEEQft+TqPFTous7293PrV24i4IksYVfGUF2jgJFmiB7n1Aj+73+1FwnCKYaeBef5ImrGU8xwDHw36f8ca6ge2xpnITbW1VfD6fj6rLCVTbIhISDwj0+sajXZfY6mcK8dxiK37G8aGfw0PT8CSCxItMumTNNk1wPK54ikQHW/iFfst9Yn3IGLAg7oAuzDtxWiy77eOs2igOGCCfz+vMmTNREuX+/r7W19d18uTJRDfQ+4lThsB4QMCCsLm5qXK5rOeffz5W+CID0/aaocc2k1i5XI5+Ns3kBMlII+7FEUMmAttrj+pnC3uefNad5Ow+IA58BmJeKBS0t7cX9ZthP+wXYuEGWqfFvPo926rxn/n923rbG0+PWSgmYR4VxIwbrES5b91ud+x+2YUENue2Emeaa+FOwAj3JD24vW0QsWxPcWmUeUuFCKQZ0kfWKFVuhUIhEgyx7+Q6UsFN/ynbZxxiDGGCYNKbHiLu2m5aUsRxuZM+wfs0C59OpxNdp0UI8BA+KVtVStJY5DraRbJLFq3tlQ+2R2exWEy0n0rCLBXx02AeBM8NAOXzeT366KOSDoLmtJCYhFDZExDw8ID3xPXr17W9ve39DEljwMcVbf9ny6my8Mq0PRqp0rafpQqYn9nK2bg+yrYyCGHIwooANnnO7q9QKETzoT0eOAXvdlcsnXZe9gktLrJUJLiW3b6KHgsEuTTHYXHtXlc/8OsH4+utr1rTZz9WjfiX3RbcERGaYK8NLHPv0lg2unBt6231DOPF8k4brJbG20RRkWR5qE2khCOSIGpdu6RRCwCSKSSNBautOM614edcC1y/bDWdzxrWTdBge1nWB9hHLso5a9r1Shxn+YZPPaMTtaJ+8De2td8b6lv+7RX94Fsf1WMavY/ginHbcJ3JqtXqmNV9Fiy7UmhWAdO3/l1bW9Pa2lr0HNXr9Ynn5drEBgQEPNgol8t68skn9fzzz8cmX9lkKzdwiO7EPE+Q0xdwurbX1d9517Y+frujnKS3vW5Db3vdhgr5EbdI8y60yZJ83gb9crlcpJ3CS1weZ6tUfXOZ667JZ+HJBGgJZtptELREu/VxmWl0C7hNkpaTZbv2XDg/123RBVrhtEU00uha4vjDMfM3XJ3iJ7QknIBIpJ1mriJZEcDd0OBJmmVcoyniAmTXSHBItFOuI99jTJPEac+PnzMuSQwgeZdkN8udef6oJrdJAjZh014X7hHrHjgw+04bjF5G0mXWdajkT7a0wIqfbbrjm/dHHE/0xTCmTWxZplY5D33QxytPnTol6WBNwnidhPuJUwZVNSBggajX63ryyScTg7a8VGxmI30wIGa2YpvJmsCja1lkYYPOkxA32dFrmb6MVOG6lbcAEuGKj9Jhokm1LDZH2A1CUrBvt+cjKaoKcc91GtheiLOimM/pa167IUn6yQ/d1d3GfqzFvA+z2kxDnhhvdluMFdu/BntzN0g+q60fQjt9QqXD5ALC6O4LYkd/RwLcVISRFEGVuB2DjUZjrPqba2B7+XBMViDlmWLckUgyGAzUaDSi7SHc215Ctrcmn6E/Tdox5Qbg5w0ExbRIquImAIEYTi8md3wPBoPU1qn0ui2Xy6l6lbvHukzMGhjH/SMO9Xo9BLwDAgK8yOVyOnfunB555JHYzyC4SBp7j5N0SDKYdeEhMMh8mfTu9iVF+kB/PvezZN/b/pEELuMEDuZsbNEtbH8++Bw9JSVFAp4VUO35WXeaeb170yY3ZZn3SQrANj2NyIJbjJuYGId2b6C//a6banSHetWpsr7lM85FHI3qdpIImeNrtVqUMGtbPLnVW1lhrw1iH2Ok1WpFawVAdYhdSwESjal0aDabEcdEjIePumsbeLL9GTyT86J6wvIRrhNji7FNAjS9DHO5XHR/cOXieZRGiR5Z1wcE0xeFrMdjn1MXhUJBX/hkXd/xOaeUk9QdSH/+Z1/QB66P81C33VESWq1W9E47zpxqHseWxIPz+bxWV1fvK3EyICBgeSgUCnriiSe0ubkZ+xneu9YFhoQ4kvRoFYiOUi6XI72yVCrpZ/6goY/f7mi9ktd3fd4Z/ck3nFAhn4u2lQboS+4cjwsnbRcpIqK1XxzitE+7fdv6h/co1wBO5r5f7f/d302rsaXRSLJoFLYPO/wtjWZM65Jp9Rc751meI2msvzMBcYLk1sHJFmZkgb0XttKY84f/2YpidEjfduCmcDqqsUnOtW2AeIY4H3sstI2xjoy+cUUcgIImeCdJLVafY71HMJe/2Q73O6nvtgvaBSwKWZ0Akj6LNT8BfV/SB86aaceSdQfNivut7WPStbW97B8kHN+VQkDAA4JKpaKzZ88e+jkEh5esXexbcmJJGBMmC35bweqb2MggS4O4wC3CEYHONNaScRXqWB1Ko+AbQhs/73Q62t/fj+wS+/1+RBgQcSFK/EyafhKgJwYvee5LtVpVtVqNkhTSihef9+Sqzq2VtNMa6Bc/emAVlaUaAAHYng/CI8dgA73ABrTJRrXCFWQNcsT9cfvMTEt4EP/IukyaMFksUckO0ed6u2MWGyD2Y68Noj5VPjbQjxDXarWi8cT1YFxxn+ltj9jJNm1/KTKhC4VC1Oce4b9Wq42RKyq60hIHbI0WhSxEEzveWq12aOyRrSopckOwma5U+E9jh9TpdKIemWmv27IFz1kzPqe1tQ8ICAgAm5ubWl9fP/RzuIovGYr5yr4zEUUQuqjgYG72zRtpBQSs030guEsA1Sc8ufBl6cMlAPwBjkwlOBXPiJj0Q+M4+Tk225z3tO97rLfhrnG8Mgtv9fGitN+zLZCAe38LhYL+yW/d1jN3ulqv5PWdn3Na1fJoDGGBD+di2wSaOR/4kL2f08x5g8EgErhZ68RdLzgKNqdwCBtQp9e4/Q6wlTScK04+g8FgrNc1FS0IqTh7SYp4qG0zYJ+3crmslZWVyF6Vscc6C2EUHutyIetulAaL6gkJstxX7kutVvNyvFwup895YlXf96UXVchJ/aH0V3/lht734v5YAkLW6mrW2GkqpsGyLS9nxaLvc0BAwIONXC6n8+fPH3pHkgDvW9PTB9rqONJonqLCle9+4x9a15e86oR+8EvP61MvjOaxLBbKSe/w/f19tVqtKEg4qfLUthyysJqkNN6rmUIGG5Ss1WpRb3MSsWwiHNsE08wv6J+42sAn4ZLMrVl0JFc/caupk2BbXYJKpRIVRgGflkOCHEl/NtGBhEH4Fe02KZoBroNjWlBdbYuE4niM5czcZ5JBKRIh+Mx52fmcdRX7gEfafvdcNz4PZyRwjg0/RTgkhVI4hvZG+yISVtG1bYEcz6XVNbkmWQK9szi0ToLL0yeBNVscr7TOpVwHri3nkTV+wLqnWCxm4uP3W9vHh5FXhsB4QMASsLa2NkYeEHt4SdLHAVJDIBBiYHv2VKvVscw5qlbb7bbq9Xq0D7c6exLSLM5nseYjUw1hyO7P9rfEpomJvdPpjFX4MKEh3hKMnYZo2kxRhFqCc61WK8o0w+47DUqFnL7u9QdZtz/5obtq9bILqwjYVqijtxFOApKiLFwyCH1iLmPMWj8x2WE9aM9t2qAd98na5McBgRXSxsLL9uaxPVDdvneQOIgQ44REEM4BAmnPjWQBsog5FiyxrEUTiyy2zT2xNliQdrKj3fPMUjm9yCBvFoEfuyhbWVWpVFSv16PqKptpS8Ch2+1Gou4sFufYpNrgRRyWGRi37+xZsMietQEBAQ8HTp48OfZ/O/8hrDBPYu9HYDOXy421FanX61HyJXMmAUk7f/ncQeJAcD0JWUUQF8zTq6urY5Xsg8FA9Xo9CmpKGhMx9/b2IqGKhDmsC+HVSW5MceC6c406nU4ir8yy/VnFKEQxeBUV0nDI//Dsvn7lEw3lc9Jffcs5PXZ6PRKMrOWjNOJ3tqpGGl1jkgz47LTrBmvJavfnAgGR+4lYSMIrnJJkR7blcjOeFz5n11gkTFqxnUA81WrwQBI+6vV6xKNwOoJbFYvFiAMjbHJ+9DOkAt6C5JU0SPMMTousfbxJeqa6nvUMVTzwxldvFfT3vvicSvmchpL+5q/e0C9+ZCdKvJiGg9le5a5w78MyLS/nERhflGV+QEDAw4N8Ph9Z5UqjRHjeh+hvzJPwA3QCviON+o0TjCqVSqoW8/rWzzylx0+vj3GfLBzQV0XrYha7Z9q69Xq96Dw5N1tNbPkz1ukEO+lVDQeH58I9sr7zLbel9SB8Ei5pNZssBRmzVP9ScOOOBXgHHJqAMEmDNpEQYEkvjTRxdECqiG3yxLR8mMIzyyXjNBmbSGuLQ9D1KCyybqb22Lrdrsrlsur1enSNXDt8+Ko9Bq4r99HyynK5HDkLWXt3kgngvBwL6ziuK+sOX2uBtMHxrGuXLMh6X11emc/nVa/Xo6Ilux6Txtsw8NxOy8Fwz2UNmbSd4+xaFIeHkVfef3cpIOA+hJ0MJXmDTdZ22s3S4YVKpYK1jWTiJVOMYGnWQPEkohmXMZoGltBQveLuGwJA0M0G0cmgczPppJH9TdbztYG9NMDy0AWkj4w1Sfrcx6o6u1rUTmugf/exvUzHBaimIuhNkJCxVK1Wo3FCDxqCtiQLgFKpNJYlaG1F3Ql9FpEGeyCuiw9Y5EPmrB0Viy/Xbp9rYausrO0lRIqAAOdAuwEXEEBILcdCBqG1yARYbUJGycZE6OYzLuxnk0CF0KKqxmchOLx3OA8ybblerk0rz/A02YZ2AWiDOLhDsFA9CvjcDKbBw0g2AwIC5gu3xx7OKPV6PeI3/LHzIHzJip2NRmPMepz5CDt0KlOy9H5jX3GgrcS0gXE3EO6z0CZgaqueut1uxIVsEBeHIqp3s3IhhL8s7/e4+YSWRXAeaT42fLbiiPtaKpV0ebevH/z1a5KkP/XGLX3KI6OALtcKzgRsKxnbX7vT6Wh1dXXMnWcWXmPXC5Pm306nMyZ68nmSHnEOQCCkkh4uSMVOo9EYSwpgnCKkuRgMBhH/tf3DqSKTRr0OAc8bIqitSmNMxrXDouppEhiTixDl0trzx4FEa9YrWPUXCgW97uIJ/fP/9pKqxYPr9Q/ee1v/6ndujCV/pwVJmrwfEO5JdPBV2i3L1WeW95+FL4EiICAgICss78H5hqrVXC6nRqMRcQN3jY82A5ciAIV+h3aHVoM2lUUrsBW6PmTV9nzbl0YanIXVKklus4FN2v5JI56NdkRLnyyOeNIomJlF4/QFu12t0hecnhYkK1ithn+jTVvHU6qd0YrsMVpegdsA7XmsMwGFUdOC+xyXGEDwWTrQbHxj1Aan0Sa5VwT3pVGAnbUVaxDbj9zHkW1bRvRFdDESNux++D0Jm/ZcpJG2Gqf3pw2Oc+yLwCxuPVxbElp5dljf+bi7dRnNAvuesW0/XV5pXXKXBetGPAseRq0y0xvlu77ru6IBxJ9z586N/f6TPumTVK/Xtbm5qS/4gi/Q+973vsRtvuUtbzm0zVwupy/7si9Lvd+AgPsBjzzyiJ588smxSQfxgwnX7WMHmCishTbVsgDRhqpNVzSdhElEM6sgamH7wrVaLZVKpSiQy7+Z4BHYsGIcDodaXV3V3t5BgNkGzWyQjEqgSSAZYZrzsUIllokIYmSslctl1apl/ck3HmTd/n8fnK5qHNB3HTLE5Avp5H5LioKXZM4xKdtej1RCschBCISUzUJKyuVyYjWsr8IEKysEa/e+WDLB7zgnxje2sSRgWBcAyd9mgAoe2yeF7Nl+v6+9vb0xscxWQJOd6fZwjCMRtgLad024FxBnyH9Wm544QL6nha3At5nhZFy6FUzlcnlMWPaBBBfXTtYnAlONbvvWs/BaluXlvIim5LcWe1gReGVAwHQoFAp66qmndPHixUP2fYhwUvy7i/eurR4ngQ5RD2EPgTOriBaXTGntsacBAW+AgAsPwNqSADMciipd+JO9LlToMv/CMdIIGohEWatZsQenqt8NwsI1qHKYR3Upx0lS3/U79/Q3fukFdftDfcZjq/ra128eqtC2fTSt4xVVSwia8Ja9vb1onpZmq5awvMk3XmxVmj1WuAqW5fzOrrFIiiQBxAaRbUJzo9GIBEfbvscCRwYs4NkOArptH2SreSRFSZ4kw8IRku43vch9PIv1EMF5uGS5XI6qt2bFNGKiPT7Wv26VG9fiZLmvH/uaJ7VaPriO/+dv39YP//qVxO2SqGHHjG0zZeGuqyyfX5bl5bQJpC6WKboedwROGRAwPTY3N/XKV75SZ86ciX7GvGk1DuYXC/gSLUJ4F9s5FR2TIJaUbU2cxEFdR5escAuAcDNB3yCJlKILrLSpBscZE2c9qu0rlYoqlYoKhULqgG6xWIwcZ7LCFtPEaZUEb+eVBEYin9Vq4F62CEVSVA3N/LuyshIlvVm3VMs3pVFiJ/xzWv3Hjr04juUWmNkCNir1GbfYyrtuTK5zInwfp0s4kG0j6I4NvsP3cB6Co6B/2spn7ilasNuiMymJLik4TlIH27TjOmtrqDjMWsSD3sox2sRiWrG6Pe4njSOepTTvKZdXsm5eVsU4CabzwCIt848rMjPp17zmNfr3//7fR/+3L5RXvvKV+qEf+iE9+eST2t/f19vf/nZ90Rd9kT7+8Y/r9OnT3u29853vHBM3bt26pTe84Q366q/+6tT7DQg47rCVoJcuXdKNGzd08+bN6HcEnm3PE4tWqzUWHMYmiAphiJwVfbB3wSJ6kn1v3GQ0K3FyiaoVQ7HwpB8Qkxif55hs0I0MQtcqya2SdgHhaDQaEbHKSqroMR0HK9Z+wVNr+r9/56ZuNPr6dx/b01e++nA/0CQwIUG06vV6dLw2OIm1KZZDCKr2s9LI6pxzt8FNPlepVKauOqACiQoX35ghw46ANATCLqZYbNB7CKHLWksSzLYVN1R6s5ABSecDIbfjzN5DtoONqK8PFiTS54RgAfm12yDj0x6vrbySRtXXsyz2Zs2qdd8dED37c/fZLRaLY0kZLlgUAa592kUgjhLLqJKZJ9Fk8RwwQuCVAQHZQSUB75QXX3wxEloIbtvWIi6YSwn08W/rfkMwTxoFuRE6qZCJQ1LfyFmretzvwwfgOQC+g+CZz+cjHk3Qlvkde0Q712KJ6ZvHrG06nDRrkIsKo6RrQU9LabYELcRoqoiHw6GUy+m73/WCrjf6Orta1F/49BMq5PMqVauRsGfFLpIyua8EWeFmLqfGfWdatymSZRGYkxKH4aAci63m4l5xLFQ1Wb7K560TE9zJHctJvIPKJsaTTWDFdp1z8627EO7iHI8s6GOP6Ey/82ZzvBe3y+FyuVymvq5x+54WHLOF7xlbKw31L//Eo/qzP/OCbu8P9BMfuKN7nb7+pzdtHvos9553Etc+C+Dz80qCTIK7VpkFW1tb96VV56IQOGVAwHSAV545c0b1el0vvPDCGI9ire97d8E9qQpmnW8dXNyguNuD27qn+BAXfMPBZha4/I25xFboSjqUwNbv9yMdk+NjHvG1oCShzadBom/t7e1F7TOzztNoa5M+g910klYzCegwBP9WV1fHem7bAhWqo32FW1Y3tEFcd5z1+/1ofTLt/MlYo5LYBWsheCPHh/sBvJLAvXUM4v8EuglsAwrgqAK3YyCuOM72Mqe6vFgsRjzXrllsAoYFvNe2Lo2Dq+fZVpMWdjtuosA0mKVdq+R3+nHHGUksPMNcv7hnwOWDrDPSniOOAtO4HU2DWZODLNx2bQ8DMgfGi8VibAbk13/914/9/wd+4Af0jne8Q+9///v1+Z//+d7vbG1tjf3/x3/8x1Wr1Q6RzaT9BgTcT8jlcjp79qzq9bpu3rwZkSl6VfhA8NMlA1SGQ5rIJANk4/M7gq0u8bQiif25FeEQGbISEZf4QfRYxEM42S7nafdDL0iy8PicBZmc7s8QwtgP21uE+AFRhpT+yTee0tvfc10/+cFdfckrVlUpxgsX1ZeFSKzxWYT7RFPbaw9hjEw4MvfIbgS2z2ZcFfK0/YZYkNix5gpx1hLeFwyGZJCVBwF0rSTtfePfZALyfXtcWBv5kM/no4QUSC8k1o5bAu5xC4e09kP0NvIFxJPAPZuW7MxSkRK3CPUtJlgkcF5x2Ya+hd4054bN1KIxTwEzrsLrYUbglQEBs6FcLkdJl1TrSvG9FhF8+v1+JHpY5yLmHJ9IY4ULOJZPiLMiqQXHZBNGswh/Ph7KeTB3Y6VHQBLhjmOET5L4aSuX7HVwkyERh0mEs732qHrNOt9OEiVttRJWjGmTOu39J/G21WpF9+Vff+Cu3vv8nkr5nP63P3JaJ9drUcUFvJJ5HFtC91iT5m6bwJl1DqX6ijFIb0f3M9Io8dDyToLQJGIyTrmndltYvbIf617k9ukmySLuHsArOWcSB3zcOm7dx/hKw28Y6/CUNAI3z4hb0ZQW04zzSfBx736/r5Mbdf2rtz2tP/1vntHVvZ5+8SO7utPo6q+95czY991gO/1es2JZNurzxKJaMN2vCJwyIGB21Ot1Pf3007py5Yr29vaiuSLuvUqyYbVajdxVgC3o8cEX3PMV9fgS8y0Hg1daXpcGPo6C+xDaEBwETukmKsKRbEIW1dEcC8du5zmCbVQOu8mIWTGpEEoa8U4s7dMGxtE5uV9UL/sSF2nTCD/jnOHeaIf23uMoYKt9XXCfp9HFbJGZdHjtQfIoCaDu9jlP67JJsNpNqvVxXqtT2/uclCwML2I/tq+5y0NxJ/IBC/c06y20Ufc5TgLbn5YbLkLP8/FbYgBUdiclP7vXyl1npIHrVLUouM/SrHgYK8Yzp5d+7GMf04ULF3Tp0iW97W1v0zPPPOP9XKfT0T/7Z/9MGxsbesMb3pB6++94xzv0tre97VBmRdr9WrTbbe3u7o79CQg4LlhdXdXFixcjYSeudx3Ei0AagTWqbG1/7aSgJsFD+m3YfWFdw8+pArGTG4HWLNbOtVrNO4HYQCZiDlaSvoAuE5G1X4awUt1ke/Csrq6qUChE18w3IVlBMy0mEUcC94iBX/j0us7UC7rT6sf2GsfWHKLj9ouxk7INLGMRybWkZxDkzD1Wm7VI1U/cOWYRWchitGMFC3z3c9hRJgH7GarY3POngtraK4FKpRL1cKrX61H1fBxICLGJIfl8fiyIX61WVS6X1Wq1Eu9/lmxbgvlZMEswdRFk03c8vEfs/32YF0GcZyV3EuZJaJdl/X4/4X7hlYFTBhxnkHR55syZiNvQw9cFQVKEAWmUlIYIQ4VrEk+CY5GgZ7kL/Z7ham7iFIliVNimhW8+Q0y0CYUEw3GFsdwDd51+v69erxf1xOYY4Rg22Y/3Bzzcbsv377SYxENt9Y3bkzEOtPyBW2PdyLby+bz+69V9/d+/tyNJ+p/efFKvubAR9VLk2uBKRTKCryKc40lKDnSrZiaBRFHXhtKCpNFJwWAsKxmnbgIx+6I1kzu+qADyrTV8YI3S7XYjK1SSNmxfVdcdyAVjNA3cdVMaxFVLpcUiKpR9QtxgMFC/29Y//vLzemrzIODw3hf39e2/fG0saWJeyYvLSLacxUUhYDLuF04pBV4ZcLxRLBb16KOP6tSpU9HP4pw4rI02rm5oXCBNYh+8El3Ucgfay9jtkugojXglFetpz9E3Fzeboz7q2ITDc4fDoRqNxiG7bQqW+v2+6vV6pM3RosdXCNLpdMZ4jJvglbWlHscw6ZwJ2NFOJglwY+Yu+BLHSiIsgD9TvQyfw3HK2q7HHT9JnHHnmFUX8yX7uv9fWVnR3t7exPmZMcq4ccdPuVyO3Lzce4H1ealUUr1eTyyMk0bFOQSqGTPlcjnSKhljjUYjkQtl4W2tVitzEHgWvWxWfcz3fV+QnsRX+DU6tguu9zywjMB4SJCcHZlWNZ/+6Z+uH/uxH9Mv/dIv6Ud+5Ed07do1feZnfqZu3boVfebnfu7ntLq6qmq1qre//e36lV/5lbHJNAn/+T//Z/3+7/++vumbvinzfn34nu/5Hm1sbER/Hn300SynGxCwcJRKJT3xxBNRNrJvAiLb0Fq/YM+DLTggsJcGBFMReyBt1ooyLqCchqT5Mq2ArTDG3gXRDRshyATHQl++RqMRBfht/xSAGDhpgoVo+I4tLksqTRYc9vWlUkmF3FBf89oNSdL/98FdtU2v8XK5HAluEGKEW9cKnOuN8Ivga8F9811zW/lEL8Wk64PldxwsgSard9KkP48qWcgl9xzLSQgo/S6lg6zMSceEUEwVFVZQ9AO32wPcN/fcspLHrJglAJy0uJiEuPvmOx53TLnvCtwM5nWtltGrOwiYi8X9xCsDpwy4H7C2tqannnoqstuLq/qGC0ijHt3YkUujLPe0i224CZwSXkllSlJFRNosd7cHpAWJcwQuEeLguohUiCBYIhYKhajKHlGJBFJJUZsXKoVc2J/ZCmsLaw2Z9H0fOp1O5KQ0iUdxjnBkjsnyS0l64daevv892xpK+pJXbegLnqx7KyOwcfdxXxIISWJMOg+qrZLWJ/BKuNekc50mMOtuk2B1r9eLgudYZMLjbeuiNMHX/f396Jo1Go3IYh+O7opykiLR02LR/MZnt5kW9LWcd3A8SZwv5vN6+5ec0x86d3Cd7rVHVvf3W4/tIGAuDvcTp5QCrww4/sjlcjpz5owef/xxFQqF2LmZxC9AANsGmKX0OiKfJegHr7Rt/+I4Ie4waRCnicEPSCKFm/D+Rpu1QW+OjfkfXsk2OCZ4mm/u8vWZ9h1b0jWcNCfC7dhG3LUqFouRHgsXYm3g8iE7Lrg/7nXl+sUlM2LNTkJAkvY1ya2RALw0ut6TMI1WSaEaIGBNkgiaPdfSrlPSBp/hjHBJCslI7mWdAEhIdsfBogO0s3Ax6+w6L8S9B+y4JHbCWJnkNjoN5u2w5MO8C4UexkKe3HCGs240Gnrqqaf0V/7KX9Ff+kt/KfrZ1atXtb29rR/5kR/Rf/yP/1Hve9/7dObMmQlbk775m79Zv/Ebv6EPfOADmffrg1shsLu7q0cffVR3797V+nq2fr8BAYvGzs6Orly5EjtpWcs7Jm77+Fp7ylleZmms9dLYIrp2NXHfp3KCfiwQaex5yIbzVapgaWMzQ23/ZvcYff1L6vX6WA9Hvu/2QAaTLASZXCHae82W/uzPvqSbjb6+5c2n9RWftB6JthZY3fsm4nq9HomPWEMiAtv+jnGgTyY2N67lvA9cd19gmEzFNGQOgjGtxUu9Xh+zfIwLQnO8/D4LQXDHinuPy+VyZGFkM1/BrL0a02Ae1pW22imthWbcfn3f99la0cMH605rZzsrltELct77OH36tM6ePTu37R0ldnd3tbGxMVdOdZx5ZeCUAfcTBoOBbty4oe3tbe/v3XnL9/4mOXFWgSCN5eEkS3F4TNxcaznJ6upqxANwXSIRsdVqqV6vR1XxLp+GU1Ix3W63x/oW2/nQd8y2VRDbx0LU9tv0HXccmIfcdkqIbFT3u9umV7Wdw7r9ob7jV67pI9sdPb1V0d/70gtaXalEFcQISQhtcfeO9jJw3jQcCC7l8jPOgwox2+LGh0l25kngmuAoVK1WYzmjFY6z8gCupeS/xxwDgrPLNRbNb9Jy+EnbsPc+7foz7tx8Y833s5/8cENf+4ZNDV9utzRP0XEZfH7e+3j66aenTn49TnjYOKUUeGXA/YVOp6OrV6/q3r173t+772v3/8w7s7SHA5N6EqeZ49AdffM/+hpzGu5DxWIxcqUk6IZDjNszmgIMOOVgMDjUcs49Rt/8uLq6Gul/bKvT6cTOpWn4Q71eV6PRiLQzCpXy+Xyku/m0SslvD01SAJyGNk0EjuHfXEvf/UenqtVqqbTKuG2R+GqPJaktIc6R0nSt/aiEh+/7rj+JFtaZMgvHc8e7uw+C0mjEtm0SmLZ9TlrMg7eSEJG13U/c8572XWPXVzwb88Cir7k0vt6YByqVil7xilfMbXtHiSy8cqZU33q9rte97nX62Mc+Nvazp59+Wm9+85v1jne8Q8ViUe94xzsmbqvZbOrHf/zHD2Vgpt2vD5VKRevr62N/AgKOK06cOKGnn376kDUXsIve4XB4KAOKXnY+0S1LVv+sVQqITnt7e1F2nItmsxlZyZAFR+YcIiNipM0MxRKRahImm36/H1lyAvc65HK5yOqHjFMC8FjiYLtOPxxfVn+aLEzE23w+r9VaVX/qUw8W2//6926r3RuMTV5kwtprh30314/qZyzQW61WVN2F3RTg/LCb57pR1Y31ZVIFE9fPEjB6zLMvm1kXByt2ZsnCJAOXjEhbzTYcDlWr1bS6uqp6vR49F5D5uIqtOJTL5UMkzj0nFk1kPTOOGAuLsJR0MY+KGM6TRJNZnnWfTZnvHtvneRrrq2WjXC4v1EpzdXV1Ydt+EHCceWXglAH3E/L5vM6dO6fHHnvMO3/gkgJ8C/e4d2HWOTZNMlTS3MD+EHp8+8fmkuA183ar1YoEKDgiyYkE1aioJmmMed62PfEF4OBFVDPBGalUt45GVnS0SBOctGIqSYB2X1a85fdU+cBX4Lz/4nfv6iPbHdXLeX3H55zUWq0aBWfglq49ua3Wco+b64hlaBJcXk0FP9yb6m3Owweb4JeWT2ADWq/XIx7L/YYz8vvV1dWI2yDQIYanBb3r7Xm7gctWqzVmgc56h3PK0p5nGkxyhkq7DcZ1uVyeuSehT9jzvZf+m1fXVX7Zan7elTjzrrrJ5XJRBRmY5zEXCoVQgZ6A48wppcArA+4vlMtlPfbYYzp79qx3/nXfbe5nCOb6eiNneY/RI3gWwCX6/b5WVlZiK7Wxc0dHpL0jxRJUN5NsiV7Ev61eKckbzLTA0RItj/32er2o+hz+FVc1nSZBDR2Ilkv1el3dbjcKKNu5EJ5bKBQiPolOZx0wbdvN/f39iIu7LYis3mkr3zkW7onPityF60Bgq/aBr6DMfp7inSzJlui3JERQIS6N7gt/+AzJkNj9p4Uv6dBNruv1etFaht/RgpTe6YsO0LLemgWMb9wD4uIiLuLunXs8ceta62wxz+u0CE0Rzs25zds16WHVKmdS89vttj784Q/r/PnzsZ9xgytx+Imf+Am12219wzd8w1z2GxBwP6JcLuuJJ57QhQsXDhE0gsnA96LlZ9aKPIv4QUVLEgjM+kDGHL/3VbCwDVuF5B63/Q7ClbUzpAIIQuuSQgKkLmyGHuQrjpzw7nKvXZoJHxGOCufPfbSi0/WCbu/39fN/cDcilFTTkgTQaDQi8ZVqHQLBBDMhw3EiNpaQEDyIK2SW31FtA9n3WTLZ4KmtlLLWRNiZ22tv+1tmIZkQbO4dWasWkG7bp146WGzxf9wHJsHtNQnSzFkkceTz+aXYzcRZbmUF45oF3Sy2RWmPx16fZSQRzAKq2RAz5ylgTrI+Cwi8MiBg3lhfX9fTTz+tjY2NQ7+zfMYXiKNHuDRKuqOaOM37H3FtkshAEpwPtVptrKLHHpO7L8QwOAD8xSYCsq92u61GoxHxLVoJMde672qfaIultI9X+ngB1809/kkBxVarpX6/H1XdwAUJYFcqlUhkpFKG47H913/lozv62Q/flSR951su6PFTq2q329H9ibtPcHAsIRHaCIbyO5IgqYrxzXd2nNlqfPokwhHs2LQ9Ga2oPIlPwMWxNicY7o51zq/X60VJvZKiawiXTyNwuRX6aY+VewXvXnR7Hml+Vok8Q4VCIfa+p92OizQC5XG2UqeKifs6yR42K1ZXV499wulRInDKgID5IpfL6fTp03rqqacOvetp+5IE5kfsnnFDTDsfpa1KjZsXisXioXk6TgskwDscDiMdtlarRdXBAM6FZbqkiDuQcEjipoVNaLQ/g7PY1kBxyXIEoi3SJNbB1wi6ot3C5ax1vXX+o42ntfamxSM8blKFLvtrtVpjrT0pumi322NtEyfB8nv7LocDcjy+BNJ2ux1drzRjkHmc68c1cL9rNdBGoxEdIz/HxTMNcDaycPu6+2Dt75fRftC2/5wVcErr0jANfE5acbCFeMcZrBGGw+HE9qjTIG0ywoOGTCuJb/u2b9Nb3/pWPfbYY7px44a++7u/W7u7u/rGb/xGNRoN/a2/9bf05V/+5Tp//rxu3bqlH/7hH9aLL76or/7qr4628af+1J/SI488ou/5nu8Z2/Y73vEOfeVXfqVOnjyZab8BAQ8acrmctra2tLq6qqtXr2pvby964dkAsks6EJQIYFoiwYRPVYclO9jhXL16NZVtCJmMED6y/twehvZ8LOgvbq2vW61WZLnjbsP9vrWU9NkOkj0P6eDcq9Wq9vf3owAxRBWiEEe83MkmjUiD2IdNezEvfe1rN/R//s6dqCKJ++daVfrOCfumSSBJgHNGzGPbBMl9lfUEA31ZvPTDAbaqhXtfLpejbEX7WfqYJgk3CKzWYomEiDhgKWXJC8SP7NpJiLNlpXInzTXHYWAZ4BrPCpIxJHmfJWlkB+tm3VpkqdYCOClMe82Ssn7nAcaTTUKZF1hMB4wQeGVAwOJRLBb16KOPamNjQ9evXx8T7nj/+8QshKpCoeBtq0I7F7enOIGGK1eupBIY7HFIo0psqpdduNu01TorKyvens7AVvpwbUjU5P3MvG5bx1iBDeESzoPTCJVCScKtz/4yjeBDb3RbheT2ybPXk+OBSz2309E/fO9Bv9uvfe26PvOJtdQ9s+2cTcIooqjtwS4pOkbJzxFsFZa9L3BjaSRoW9HSch9EMpyUfEBst045SdaV5XI59rit0Jd0zeJaMEnpnAHAsjgl93Iett52TONG4bOITQIc3nLOtFx+Fm5s1xLzDjK7leLzrnB/WAXMOAROGRCwHFSrVT355JO6deuWbt++Hb3vqeDFUcQCbkcSup1PaaVIcN3ySnSd27dv6+bNm6mOD67HnAxPtO6UAK4IrLV2sViMNCqrGbrzlG2tg25nK6+phIa7UQhk50p4EVom+3A5sguXp3W73YmtTUiqrNfr0f2w55DP58daYloeZM/dFkSl1Xfcz9jEBJLrkriayy1852kDhrZYB45huVqhUIj+JIF7QGU9TpZxsPO/m/AIh51kg51034+jpkTV+Dx0OqtXUkFut0u7L1+LUuByrqRrxrbn0e5hHi0w42CvwSLcpR5WXpkpMP7iiy/q677u67S9va3Tp0/rzW9+s9773vfq8ccfV6vV0h/8wR/oR3/0R7W9va2TJ0/qTW96k9797nfrNa95TbSN559//tCA/OhHP6r3vOc9+uVf/uXM+w0IeFBRLpf1+OOPRySOzDnIA4HwfD6vdrsdWftYlEol1ev1yI4mzj77xRdfzNRLA9JGH/EkociSH0ie22/atZmzIHCMUOlWi1Sr1Uj4Q3QhME2QGPKBAMS/yUzkbyqFrG25S5KYgGxlO3bs9jypaqZHyhe9YkNf8KpTquYPT9y2YoaAnCWF+/v7U5MMe/3JDLXAst3dp/2O+3MbaCdrFnt/FjRUvEO2k8gmSQt2n5bgsEBBhMeCkvvJYsf2a5yURTkp4zhLZuKyREyylWclQVxHCJsr5Nve8nGZnxwHFlRWUE4apyweK5XK2D3neaK3qGuRycIYgXwRldfzIvJxeFitiZIQeGVAwPKAVSsJbFS41Ov1SMQjKAnvdEHleL1e18WLF73Vzv1+X5cvX049V1GNw7zNHB8HOIs0nkBo5424IBxBfuYuqlbgeyRvsh0SHJkfETxtIipB+Hq9PpaMybnxeZIV3euCixKJfXAmy1FsT0mchbCMREi0Lkz2+tzabeh73rWtdn+oN5yr6utffyLTXGfddaxrVJwoSGId19nyY4RJX3UNx+urbCHhAQ7Q6/USnQZsf0yqetyxSh9BK0ZLiraNfSkieJrqnrjr6vKuJPh6ey4K8+I8bpKqK7JbjpnUMgxbWsv3JoFAjE2GJrBAMoSt/AN2zchn533dFy1cP6wCZhwCpwwIWB5yuZxOnTqlU6dOjfFK+ByugnAWX3IQVdhuINxFo9FIHRSXRtbS9Xo94rpx4DjRKChgsVW+aTQC5hH2xfeZa9CsrDuk1ZvQ0LiGWCbDvygiIsjKfOcr5oDP0+4GHsp3SOSjIpf52tqg23PmXAqFQpRIu7KyMpb84Go7cfD1J7cFQ+79JzkBXdFFr9dTsVgcOxbuP1yfACo8jOtqtcpJ/MxycvRIeKXl8TggWKt7m9AJj2asJSV4JmmViwq8zgLb+mlW2GcDB1x7j7lnOGX5QNIrsQa4pRtkd0FcwfJGYg7SKLHEHRPEFaw+Pe/7tEit0rZifdiQGy7DA/aYIEvz9YCA44q9vT1dvnz50M+pwK7X6xG5TGubsrOzo+vXr0diRtrXAhPRpBe+zQDtdruR6OeroCBQyzFAlOxkaIkhQWm+x/Fjv4LQKelQ8N9mgTKR00+QycwSXHuM7rFDKG0fIo6V70OOXHGG7SHsEGy2JJfJmMkKoY/7wLWBjHBubgW6pMgO060G9ol2kF57vFTdk6yATSfX0pf9mESSuHb8bV0BbFU/23XP1RJ3rBwnjUnfPczye4tZKqCzYtYMRuCrErKJBnYfvvObJPC6bhBxARYWa4wXO07s/fdVNM2LeIN5JB0k4cknn5zJuv644WHnVA/7+Qc8OHjppZd0586dQz8n4GpFyzQL5uFwGCVcJmXy+5CmgpV5HmEC/oBloPtZentbJyFbHU6glooRm2xJ4BkQZGNetHMbSV0k6NHfj3mFpANfZb61NJfGhU57TeCHXFOEOHe7zI/D4VB/9zfv6NeeuaeTtYL+wZee10a1EPEm5mH+3+12I8HUJm1SXezaDsPHac1iv2ePw4KAtHsNuKfcE65hXCV2Ek+r1WpjVUi2+p/7SQCccco6Ko4bJSENf0jLWeZVxZ0WaR2SJsE9P9tKwfJI3/lN4twESxhfPl5JIq/rOAVfJVie5Oow7yqfefNUi2KxqFe96lUPjJV64FThGgQ8GBgOh/rIRz7inROxsCbBkoTASej1erp8+XKkPWVZr6d5DxO0JIBG8qHve5ZX5nK5iM/YuQ0OYpMkrVZmg6j9fj/iV27yAP2pe71e9P1isRhpeQRkbXU333N5lr0Odg61xw2PhR+5cykOS7Spsfuw+qyksYQIa19vdUKXN3JdbQKqL+jvztO+n62urkbjhbUBSQ++MTGJh1jHAPYHz7HJdTaxlW26WlqaMZnmM2k5y7z0wzTgWZpX1bh91rkmLo/0XatJ18/V5X3JL9a9getsx4lNpvYlPi9CW8yiUWfFqVOndO7cuYVs+yiQhVMd36ZMAQEBXkBE6FPNH/p7TwMCsvb/kmL7JFqLoTTiDdvudDpjZIIKH9tThl6SLhllGwRk+b+tHKYnNRMbGZWIKTbgKo0yFrE0stUMWMy71zRuMqJ3EAIhgNgh1NCfMZ/PR/vL5XJR9T1goiXT01ZO+CZuiKytYifYTs9Htg+Rd4mUzZgF9IvhOlIVbokwFUxxY2ESMbFV/VagQ4DGDqvRaKhQKEQVXNw3l+CmISCTnhUqwCZta9kCJq4G8yZZXEefbb/bi2sSuXYXWHHX2nfd7LjGknVZmYuLrOyZpe9mQEBAwCJRr9d19+5dVavVMV6Z5OaTBDjq3bsH/axJ1CPx0Ac+kybJjOoOSVE1EpUb8EcESdx7KpXKWJ9GW9UA74C/wXHhIPA3rOLhJPv7+xEnxPUEHgiH29/fV6lUigLk/X7/EI/0tX+xCZ92voWTWXcVjsfOzcPhUPV6XR+7tqPfemFPhZz0XV94URsvFz3TEonkNZdvYx1P8iHHiRsT1ueNRiNy9Elje8924AlwettHXlJk0e/bZi6Xm9iH2wZhbYIraw8qtfb29qKgPLwf9ybWDmmegTQCYNoEkeNoj5kVJK8g2rv9XN1gfJp+8YxF69hlQYWW+z1sclkjzast0VEj9BcPCAg4juA9TZUnnDJJE5gE2+daGlVnEjD2wSbgTwLzM9zLJlHZ1jwk6/f7/THtjmIA5jb4BLyXylUcitA9KVRpNBpRwZGtPqaiG57H+cJb4vqP+86ZZFK36MctYrDtSeCrVK9zrX0BdgL48Cyra9Lu0te2CY5MYgCard2P+3lXw6Slka0stvsn6TWu97zbn9wHmxSAFm2D4+wffRIdmWp29pE1YTgJaQPj80h+TAvWCbMmBbr6H/eVa2tB8iPX1XXd8oHkWZs06TuXOF7JWE9ysFoER1tkMdbD7EIUAuMBAfcZcrmcXv3qV89VOHFf5G4FjN0XAuE0WWdYnwP69RD0xZ690WhEtoZkb1KtQpAX2x/El0qlImlkR042Jt+VRpbRltjaTEzIrFsFZGEtPC3iBF9ETBvgg+RSudLpdCJyzDZs9Y1bMeuraIEosBiBOA+HwyioDHm1tj1ukNW1QeK4+IzP3prEhjihKW3gGHGUMWLFWEhJv9+PMvusMGZ7Q9t7HgdslCZl3PkquSwWLWDahQHP4rREk2oaW3Vv4VbZAPbN/ZhEwO01cav748BzbLOXJUWLRayqFpUhybYXVd1Tr9eDgBkQEHAssb6+ro2Njbm+o+w8YRP74D6SouAj/ClrsAr+YbeNSIH9OYmIJJXBKwmO4oqDw87q6mqUsGkDpghiCFvME1RdE3RDnCE4DsdK6ocd9/M4YQdhjup0uB7HwmdKpZIurJX09i85r4/f6ujS2kEwbX9/f4zX+PiStYHM5/NjVT0ItwTF4dLWwcf26nNhe3y6XITzSgo0+ziw7/ixM8SqlYRKfscxkPTgVkZx7CQBJIlRcVXMFrhRkcwQh0XyHGk8wdhWYk8DghOdTueQ9b+1i3WB8M1zMqmdF+8TxiXOVUnjAP6OJW6lUhlLwHBtMhcBnsNFWJ4+zAJmQEDA8cajjz4693Wv5Yi2gpN5yGJ/f3+qwgXbUsi689iAJu2H9vb2Im4ATxwMBlHfbvQz/k/CJO6SBN0IsFPdTFse9/rBIeB8cfNm3Jzjq1y2v4N/SSN+LilKLG00GqrX64cKgJKC2BYE8a3Lp3UJtK1QuC6+84lLjON+2+PASh3ekKTnTeIC1lqf5E3Oy9WOSax1W4Bah8tJSHK3cT/ja1MAFl3EwzrL2prPwmPRzd1j5jr7rke32x3j+oVCIZFXWs2dcUjyShJfszzfji14prsOWIT2t0g98UFytsyKEBgPCLjP4OsTPSvoQ+4TdOY1kZKxyaQjjWyFgA0u22w6Mu4QuAgyI2a5pMP2GnGJDscAqYHQkTXGtY2ryo0jVEmTKEF+SDNk2FqhM5HbSiCC2O799gVj7XWANEvjwqoVUwnOW4JKVbiLuPHm9u7zkTefrboPEGSbSUpmqXsffP1rbGIDC4ckgRLhNclC0or51jaL33U6nYULmASryUT29XOdBBZ5rVYrllyTwRy3KOA9YJMk4uD7PYTT9sVyXS5ca3/3/hUKhUP2qIuArTCaF6yAiSjO+A4ICAg4SiwiwevkyZPa2dk5NKek7RucBrgdDQaDMWcTOy9b0c7dL8eCqFSr1aKqHctbqIiGV1jeADfFQhJ+alvZUGnjE2mSqpmSuD48rlarRTzJnjfza6lU0qP5lh5ZPxDx9vb2okA+86jr1gPgWfBpW6XPuVm+xfEOh8Mx5ylXlLMtc1wQqGSbvpZQacar5QgcL+sBH8+Bp3OO2KhSVY8bQRKfZWwgWsd9RhpVvSOSw39mFRTTAIEfDj+NELayshK1sorjSpN4FPc/roIraTvcC6rHEfxt/3pXhO50OmPjgkCFrWifd5CcpArb6mtesLySinjGVEBAQMBRYhHBmzNnzujq1auHfp4UFMwK3p/WTchFo9GI9BA7p9DGkeIL+GCv1xvbDgE0yR+0tBooXJI5Fw6Bdpi1JQhW7i4s9ykUCtHxWT6CBgM/o6gBHmF1JN91QwslgMpnsKC2iQ7VajVKPLBOTq52DGgjGadBcY5xbUazVHCjzaJtcd9duFqVDXRb/TQJaYPjgOOx7ZEWXZjhazuatp2r3QaJynHXhGTOuN+7um0SfL9HB19dXY0SeG3SjRuDcYuV0PjhYWir84bb5mpesO3SbLEUCbQPOkJgPCAgQLlcThcvXtTHP/7xhWXOI1rSjzoOiJNWMLGWQzagVi6XI/GKoCrECKHDTsxMIASeqbJGhKPPIEFel1wRnPSBqmkfEWUS7/f70bHZPtgECyFWED+IMcdLgoA7ObkV5VTiQ27d42QS5fxsgJfeT2Tq2cw59/wgfPZ44noMTgLHCRlH5EoiRxZk5oK4QL1Flv43PkF03oQkCbb6KktVMyRz0oLRtUuPwySiiQOCD4wzkjPsmEXopoqfCjSSVdzklzgrzVmBKD/vCh+q6W7fvq27d+9GovTjjz8eZUQHBAQEPCioVqs6c+aMrl+/vpDtIza6nNEHxCvmJuZFvkeyFUE1Pgv/pHIHDmfnHuZEEjWlw/MZoq2PM7guPRZJCQTsg8AzQUHmLZId6b9uEyYRa6xFqCvs2Wtqrei5noC5zBUA7TkxZ/ssT10hkyRPG9ycRpChegTh2raLiRsrrpUijk1UPWNtmsQNbNumJMSJuwTWFwkSb7nGvn6NSUhzfpMq7C0mnW+S9TkJD3BY7g3PlW2TUCwWD60T2D9uY/OyN7WghcI81wwkNN+9e1e3b9+Okm4qlYqefPLJEBwPCAh44LC1taXd3d2JDiPTwib5TXpfo08wj/JdeAdtEEulUhTcdFvWEaQmsRLgzsPPbBUsCXwkQ8UdWxziEgvR3Gzxkm878CSKHawrJ0mhJIS5bpo28c9ycLeXuT032/bSWr1TrGJ5JYF3aRQ8RF9F86PQxeUdaTQfm6yAo6l1unThuoFK47wefddN2nOBnp3mGH18apGuONKobag9B4rB0iRCM2Ym8Up3nMQhDdeKe3aGw6H29vYie3+b/OkWgu3v70fOs5LGnJMI4i8CvHvm3RIIJ4w7d+7ozp070TXa3NzUhQsXHvjg+P3fxCogIGAuqFQqOnv27Ny2RwVApVKJSKE0bs2DMAehQLCwAW0IIGJTtVqNMuFKpVIULLb9DYvFYjQhEmi15I19g/39/Sj7k/3GkcE052xBdqWkiPhi2VKpVKLgPueCYOtDr9dTq9WKrIxqtVpkN+P2ZuYcXTI0qdKGqmLIMX2WsH+katd3nj5RKU1ljxW9SASA9MdVspCNa+Gea5pKmFmCn8sQnnwVU2nOy9r5JBFiPpcmKJ6GkE56RqSRqG4XEmRhIjyzQNvf3z90bHE2SvPAohYPL774op555pmxCsrhcKjnn39+YecSEBAQcJQ4derUXG3ZmHNtlagLkvtKpZJyuVzEEyzns5UUtVotChzzfUkRZyRBkCAyYhj9xnl/w2MIgjebzSgRDPj4UJLQ4Ds/jtVa+ZFwSvCN9jnWEpT/A+YheCUcu1arRYlcFvzed7xpAqpcD4KY8H/uqSsgEUz3VVCnCV5S5W/XBwircRXKPj5oeR7VKGl4zrRYRrKl7/qRlJsEnA8mcRaqZdKciy8J2cUkXgYnLJfLY+tL6WAcWTtWeKXLZdvt9kRxelpwvecpKg4GA33kIx/RCy+8MBYkarfbeu655xbqqhQQEBBwFMjlcnrkkUfm5nKUy+VUKBRULBYPaRx23oEbEfjFxcTyFt65pVIpcjOCa1jO0Ww2I8ceW51ZrVYjvmrbfUgjngaP4edx7/mkudc3n7ptg1qtVlTRjS6DAyXOm51O51CCAnyLY8Xamh7zLpdzW/XZ40maw7rdbhRItbySoHe1WlW1Wo2srkmwtJWvlnckWawDy6cpAuF8kr7raoUuz8QNdZoK5zRAv10kbBsnQELxpONmbTVJj7V6ehKsa1Ac0rQPcnvd8z3p4Hxx7EHTbzabh7jsIlv1xCWuzIKdnR197GMf0/b29tiYuXPnzsKS3I8TQsV4QEBAhJMnT2p3d3fmQA1ZkW4wWtKYrZBbpWorLcgGxCKz0WiMWYUTpB0Oh1FGHgFzLHrYv614htRAZtw+ORy/byKbRMQtsYMUWytNCCbXwb02vgpvjseKr/S6hIi4EzHnCcEmeG6TB+Lg9km0xI8qfYiJrbi3iwl7vL4sQt+5VSqVsYQGkCXr1fdZt1LMRZaMRhdpshbnAZ+NJM8IWav8sfZdk46PZyTN55Kq2izSCn8cL8CmlKACwfG4HqtZ9jUN5k1k4wj4YDDQc889p0uXLk0UpQMCAgLuJyBizupGhIUivDJuTvBZViJO2p7GJCFSYQq3aTQakfhSLpcjoU0aCXhYtzMfWttCH9+wfNbHM9JUy2LvBzdjO/wfdxVpfK4hWdHlRpyv5dT2+H1cCl5h+TEVTZNENyqwbN9vQBKDrSKCs3KNEWZtwmsccGSiise9vjjC+O6FT5hzeWYaMWraKo40tprzANfG3gdcohD6bR92m7Q76TmuVCrRM5IE1idp1ptpkwWso1K3243OEdGf9aTP9nMZmCdnTRpjzWZTzz//vB577LGFtMkICAgIOCqUy2WdO3dOV65cmWk7uOCgR9h3KlqlpEPFA7Z3uHV5pL+45YbWBtzOr7jsuLonfBUewzyKA5A0SgRD93SDb5OqZS3PIcnPtniBR/sCyPb8OR4+Zyuf0SBx2/G5zKBVUhhhtcqsepOPV+Keid5snTA5d8thk/iX5T++NQhuUr552eVMPt0xjRvkcZ/LfS0ZGfsEl+2aJO5a+pDWKTPt59JWnkvj1fq2lSeJmNZRa94V3JMwb60yKTlhe3tbhUJBp0+fnus+jxNCYDwgICBCLpfTmTNndPny5am3YScl3wsWsYKKFhdYlCBc2Ow8AuXdbndMGOTYsdSjosf2RbYBNysG+ibGuEl10oRHn0bOQxoJehy3rZi3IMiNJTxw+5dQPUP24/7+fiTM0rt41l5LcSInJICEBqqlXLIGYYdsYjPDwgPCbwP1cSQ+iQi6v8Muye0NOinDcJrA+LIETElj1lwWjGf3ONLacKaxTyfDN+25ZrEAteIs26fXq7WDjcMiraEWbTtl0e/39cwzz2hzc1NbW1tj75BF2TAFBAQELAOVSkUnTpzQnTt3pvo+TiLMET5u02w2Va/XDwXFpVEgFIEMISOfz0dJX/1+X3t7e5IOxB1slal8ofKc3sxsxwbrEYB8AcE4TpbGGhGXnna7Pea20u/3x6oX4r5LhZPlQe7cj+U0x9RoNKK5hyr4Wey9CajH8Q1rccnx2CoN2wueygxbSQVvRnyGK8VxvyQ+43JI937C55MwLf9eJu9I6oHuXgN+ngZu0qMPWdoBZbUf57O2/RGtEmzycxwWeQ+WaUO5t7enZ555RltbWzpx4kRUDZjGGSAgICDgOGNzc1PXr1+fuhI2jTa0v7+v1dVVr1bZbrcjbYt2NgS1rRZoi1pw92k0GtEca6tg4YO0ILRuk775Mm5enFShi7275dXSaF5OM3/bQK61OrdV8wSmsVQvFAoR36ZoaRat0raNdEESXKvVino9S+P3ncId665I4iec1E12iNMK3ZaW7rG4cNvDpG2/kxVJLSnnDRs0tiAY7huvaZ5ft8WRD4yztLwyKxdjnPnGEePPdTGddl9Z4XOHXRSuX7+uvb09nTx5Umtra5FbGS6+9ztCYDwgIGAM9+7dm+n7WBcmEStfxQXZhdhou336qBZBEAQ2M5OJC4Jqj8kKgTaonBY+O0cXTPpMUFTO2yC+a3sOOB5Et0KhoHq9foi0ElzG9qder8+91xL99lwSQyDa7W3i668O4azVamPHV6lUUvcxZDtJFd8Ww+FwjECl7Zk4TRbmsm0K43oszkKG4gipbVWQ5RmZR1/udrvtFWWXjWUK1NLBeLp165Zu3bql1dVVFYtF7ezs6NWvfnXoFRkQEHDfgn5ts3x/0tyC44j7rkSIJLiLCwnbQvBaXV2NOAa2eNIBh7D8BoESURAewDbTtiUBaedMtkmQm3mZAH8ccGHJ5/NRb3Tr/kLiJpybz2SppkiLOA5HpY3rDuPjO7ZKyn42S6BVOrivJDm4KBaLY/wD94BOpxNZNE7iJ9M4EVnxdhnw9b4E0/Iv+2z5fofInOVeZeU/BBvsPtI6Hj1oaLVaunLliq5fv64TJ05ECc2PP/74UR9aQEBAwNTAjnxaEMxOmnPheAR27c+pHqZy1AZWCWrbBCTXeREOSVIi1uOrq6va39+Pkjbb7XZmvSnNdbFBcdfhknk8TgdpNpuRFXWhUIj0VZt4RoJcu92O9CTbf3le8HFoW1Dl3mOf0ySJmJ1O55C9etqEUNsv3YWPB1relZa/TjPe0xTAzBPTFDlNQhwHxCI/bdW5RVatEu5kk26XWSCVBPf9tGg0Go2oNdfa2pp2dnZ0/vx5bW5uLu0YFoUQGA8ICIgwHA519+7dmbYRF1Qle9L2WoOwVKvVMZsgvgv5opIEix+XyLpCGZ9nX3bStNXi9GRMAytGxgFSPBgMxsRVe204Hku4pVGglcm61+tFCQSIoa7QYytj5g1LYiAfED+fnaLP7tsngHHOaYk+ljs+AsLPSTagkgsxPK3ImDUI6msRsGjEVfFMG6DHajTud9aVIS2mCYxb0Vk6uN82+WVZAWprH5pG+F4k9vb2lM/n59pHLSAgIOAogK3xrNvwcQBESKpshsNhxC9qtZry+bz29vYiJxLchLrd7lgPR99cB7ewdtIWVApJox6BWd/XaeZvRFLXXYXvU+FiuSf91UlKhK/Qasien7XQpLJ8EYl/vV5v7B6urKxEFf5U6FtQheD+fB7ci0ojOKMF1p6WV/KzLFaJWQPjaapi5g1fJcu0rYWk+HOAG07Dq6b5jvu+Qfhe9vXl2eTPMhMfLPr9vm7duqVKpaKzZ88eyTEEBAQEzAs7OzszbyOu8IKqZirA0f9si0LrjNLpdA7xU19yId93292wHQpkrNsJ7RPT8h76gk8CCZ9YsVugy5JIaQOTcGqrk9iCHzfADLejAnvegB9zDW37HNu+0p63D3G8JQv/iFunYNMujTQtKtpJrkiDadZRy7b29iUmSoupmoZvZr0u0xbxMB64h9YtTFqOIxBODzxTbguIZaLb7er27ds6efKkNjY2juQY5o0QGA8ICIgwTTDMBzIIXRHA9gck6I2lHeKlDaxbUYyAKlmWlqxQXS4pymIkiwx7SxfYFC+iKibuGmIrTqYVwWSq3F1QRWPFy3K5rHK5HAXPFhWgtfbdNikAMjct6aF6KYtIxfm7CReDwcAb3M0SeGc7cWDhwDaxoJpV6M8Ktxre/jwryN6N6989bTB22rHI/rjONrixrMA4bQgWiVOnTmljY0PD4VBXrlyJFUlXVlZ08eLFKJkoICAg4H7FvIJRcQlyLq8k8RCLbbfqA65CUFkaJTVSFUyPQ3iZdTOKQ6/Xi3hZWv6Rds5MqvrARp5ET1rcSIdbvthAunVNWllZiRIZFxlAtAKwTUylxY6LtA5DVJJL6a8porcLXwCz2+1GdvZpkcSjONZcLhfZPy6bU0qjtgH2vKYV93AY8gXWp020yGqjDnBvYC247Ioai0VWFOXzeV24cCFK9nnxxRdjOfPW1pbOnTsXki0DAgLue8wjyQiHRlfTgTsCuAJFNqurq5L8czxJWCRh0q8bXmZ1Tf6mMAgnSAtaJ6ZFWncUHDjjriPFOThsWptqN2GRwC+JmbhaVqvVKDlzUUHD4XAYOTVZvgvHdflDFj5BVXAWbTwuCQ/XKgvaCaaFW/RlQbEZ+8KdZ9lFPFK2loqTEJe4PAum1XBtgZLVK5cJYhqL1CtrtZouXLigXC6nu3fv6saNG97PFQoFXbx4UWtraws7lmUjBMYDAgIizMOy1wp4lqS02+1oMrLZlYPBICJmNkCGuMLnIJU+wgG5XVlZiXqNU3Wa1EsuC1FLOwnZPog+QOKY6JMsi6ydJ+eBfVS1Ws1sB58VZKqm2UcWkjGNAOsjuHFkyboPpAHBep94R6W8PY6jEDClEeEm+YIAN+M4DQHmubCCoT1vxlVWQXIWMd1WjbuEP4l0zpOQdjqdsczxedu5nzt3TqdOnYr+/9hjj+njH//4oTF36tQpnT17dqm9KAMCAgIWhXnwSrfS2FqJA9x1qGShNziVO9it83My7nn3M38h6iEG2kRMtmdbyVjQDz0N/8gyxxL49X2eCiZfVa47j1gno1qtFvXlJvEwa1JhVlChZYP3UnwyYxZBmGuT5bqSBLEIJPV9d48vbdufRcBNOOn1emO9UyeNh1wuN9aj03dNqRrL4tI1K3B5WHbbIwt3rTDP56tQKOjxxx8fW+P2ej1dvXr10OceeeQRra+vz2W/AQEBAUeNWRN8WOMT5LLBMluEUKlU1O12VS6Xozmd7zCPU8EpjSeISSNeAs+0roZUnFqt0qejZNE6smgH6Ei+7cMNfQUKbqIZ51gqlaIK8/39fTUajcgufpEBWgqpLO+2jpwWw+EwdXtGSWP3Mi181zNuvGbln3HupW4bp263q3q9fiSBcdqXSgf6Xj6fj/R8xv2kMc34i0vyJYmE8ZX2GZnGdt2Cd4N1dQDL0u3sGpPg/Lz00LW1NT366KPReD19+rT29/cPtdldXV3VxYsXMz8bxx0P1tkEBATMhHw+r7W1Na2ururu3buZJw/XYtpWZdtJjYxGqqchKYPBQJVKJapSRtSwwXZXPCIg1+12xwSxZrPpFaCkUd/ItOeXNbssScQkIIl4ayc3d59Yx1tyICkiqouehKnet8BGyRXykoLLSdtPC8gs12M4HMYSvqxCPBnDWGUC3z30WW8uC9YuXpLq9fqYnT6LO5ItfNfX3jNIpR1bnU4n2k/cgskGByTNZdETd8+SerbOe/zj0DCt5Wcczp8/r5MnT479rFwu6+LFi3rhhRciq9aLFy9GmegBAQEBDwLq9bpqtZpOnDiha9euZQ4MuYKI5ZM2mRLrbSt6wbNqtVoUtKayxPIqdy6By5LAx/yWxDv4XFpeMw1P8YG5imp3+zP3O/ADSVGgEhBIXLSQ5vbwto48LofMOlZcm9JJoGLHtjSKSwTNKjzFVQ4dhWV6Euy9wLKfpGVplCArHaxfXG7kuhmQhGLHFq5Ptk2OC1pGSaP7PstYpGrcvZ9xSS38bp4Jl7x7SMCZV7/PfD6vS5cuHao229ra0v7+fmQzXK/XdfHixei9EBAQEPAgYGNjQysrK8rn87EVjUmwTkK27aJtw7eysqK9vT2VSqWxnuEkeJVKpTE7bHTL4XAYOUGiHdoiGNvKBTeaOCvvtMUpIItWmVTIw/kSGLbV7XYOp4UQn7HOSvBqn638PIEbp90H183HAbIWz5BUm5YboJ3CtTudTiyXyaonxp2Tb/vLrma2sIVb1Wo1cuEC6LnSwbG7XN8tSnKvE89fnH09gN8PBoPI+WGW4ibXut/uZ1nJrfBK6zg7j32vra3pscceG1sP53I5Xbx4Uc8880yUgHL27FmdPHnygSzgCYHxgICACLlcTo8//rh2dnamJjEQQyYexCHsPxBGbO8WJu9erxeJm/xdLBbVaDTG7NVthpidFOknwwRqbXykkSiYdQKZxnYFS0vfZI4whggFoUGspYoeoRVrUDLU6Mvom5SocuKPNJ24VCqVVC6Xo4xPLEptRa1LRuhPmRa2uisN0hLZaSZrepRa0cyX4Tlv4Swr7Dh0e8v0+/3omLHloiqOa2Jtyvm/bUPAwiaXyx06VyrUO53O2H2fh02lbaEAJlWhU51ET/RZK3EWIVbX63VtbW15f7e+vq5XvOIV2tnZ0dbW1gOXeRkQEBBQqVT0xBNPTBUUJ9DpzgUkVna73UhcwXabKhzgVidjMWjnLOZBt2q81+uNzbH0w7bzFJw26/yRdc6MC/TBCxF8KpXKmJDJ/G7FXAL+8EqsQ+MEJpdXWo6fBdhtIlBRPSWNEvU6nc5Yj8gsmOTY5MJX9ZH02axwnZHy+Xzs9T0qkHzM/XS5FGsxfh4XbGa85fP5sWC6TTh1z9O6Z3W73bF+9/OCy2OT7Pn5LNWBs7pDuQnY81o7nD171mvBmsvl9Mgjj2hjY0PtdvuBFS8DAgIebmxtbanVaun555/P/F20NTs3E/gkOWtlZSVq3SiNay/wKAJTbJOgJXMammer1YqcHlutVpQMD8/B+tp+j6KALHPQNEG/OPdGqy9ZXoWlPPMKDp0kVtKfHV6JRuvC8kn45TSOMlwrnAeZ2+HwkqLKac4n6zxMtX9aPpqWV85i6R3nomVxlG45tv2lr1WhbS8gaSzZmeO2zo25XC5yMqK4LC6pAPt7HMLAPFxWiUHs7e1FP5s0NihyI+4xK6909zUPjkdbHt+2CoWCnn76ae3s7KharXqf5wcFQYUNCAgYw/b2tq5du5b5e1YsdKuMIV5MBkyIfN5aV66uro4F7QhsQ3AQIGu1WmTzZyc+a+NHPxaOp9vtZhbapu3jzTlxXbCpZJLnenDsPqGJYC2EmUQBrOYbjcZY/zwqfS0pg+RnASQT+yjum83Os/cFoSlrBVRcRf+smFZ8sn2kJH9vwEVnvk4CC5RWqxUtSEiiILGE+9Xv98cEbUgZJJ+gOQsY6eDeW0swFjvS4QozMAv5ti0B6MmVtrLGFeftO+E4IJfLxRJNUC6XdebMmSUeVUBAQMBycfny5akSjxAPffMO/d6Y26i8aTQa0RyCbTqCiqQxzgi3otcy4h+2f8ypFgRzSUKzFUZpMW2GP1W37XY7assjjYRabBbtuVo+hNBElRPHXyqVxsROhCVcm1xeafl8WnBtETKlUd9FEtwQm7i+JDmk3ZebLDhPTCtm2eTdeVUMzxuWS/JMEeB2q50YNzhvUb1CpTiCpXXe4X77quh913WWADIJx1Qo2eclTdKEDViwHjhKzu+iWq3GJltKB8/z2traA9X3MSAgIMCi1WrpE5/4ROa5gsIbX+AS7YC/qRRHR0N7hJcUi8UomQq3Pcs/mO+YW6nCdnUKCjIojplWx5i2NYwbHF9ZWRnjehQhSf7e7p1OR8ViMQqKSyMnIOuyZHmvr81J1uIA+IZNPITHdjqdyFWRY4L3TnNtF6FV4iIwDWxwPK6t01HYqFuwLmm322McmDFhuRjFOLTd6fV60fghecImN9jkX7abVGEuzcYr7Zpkb28vel5YUyVtm/eN1eWPw/2xOHPmTKKzUC6X0+bm5hKP6GgQAuMBAQFjmGbigCgCt9LWEi5LKOk1zn6xgrRW5JAyKqRtIA0SaIUMhD2bqWYn3yTLFR+yVkFb9Pv9qBojn89Hx5Gm8plqBcRe9xgIQk/qoZclWO3rW04lL5XCttKfc7R9krKCXksAcmT3n5Xoz0I2CDzPo1pkUcBtgMQCFgc8T4iV2D9JIwLOtfSNQaynyNi0PbHmGWy2CSN2XFtbsWn62k+yVMqKWd0BTp06dShJKCAgIOBhw7S80lZwu+921w6RQC5BXgLYuO70er1IFLP2xvBRaVwgtDyEACG/8/WWS3uOWW0cXSDUIsYwh/q26R6TFWd8jkY2kTKJd6XlAzZIyb2Ez8NNuR5uZT7iUZbAOIFMm7QA7L+zBqdntSpk7MRx06PqL+4eA8+Y+9ywBsE2lWplEpzp9+g7D/s8IWJnqepPC6rU9/f3x7ZN0gvJxElwAxs4RszLqnIeFeOTki0DAgICHnQQNMsCAre8490KVQLh/K5Wq0UaILySQJ00qiQmKYw5Ho0DXcbOIdYhRRrX6Cy/zfqOn3VORT9pt9uHNMBJgEv7Pl8qlaLrm3ROSS1OXGBT7p4vgT04hutISREJGloWHmuTBazGbc8pq/Y0j3k8TvM66iIeabSG4JpbLgiPhJ9RGIPDEGs+1nXu2CgWi1H/crjnvO3M7frF5e6cjy95Ou46gE6nM+a+NStmHUfVavVQu8eHFSEwHhAQMIasFhk24AuwYoa0EuCGRNrKECZuSC79fCCWZMXxf9sT0oqatldQEkHMMoHMQ7xBuFxE72BbhRGHSecLwSSbNW4b2I+SuWeJABXjWSfnNIQia8X7rIHRSRU9x0HAlMb7g1MZzgKE7EwWK+7iMY489nq9SHC3WdDzCo4jplLt7oMVTm3lW9xnXfj6W06LWQLj5XJZp0+fnvkYAgICAu53ZBVpfNzLBu6kUW9DksAIimFVxzyHRSPchQpS28/YHhvzj53vCLbGzVtZ2olg0T4LqNCZRRDxtYopFApei2YXk47fclPfNaOSBOGLxARbDWJdkNKCvvFJ35mmZcmswlNSX/F5JvPNChsUp3qNY+cZ6/f7h0TCpGRUqtGlEX+2wvUswH2AtUQc7yNJepJwGnc880oMnfV8T548GVn7BgQEBDysQCfMWpBhuQv8gjm42+2OteiBO0oaK1Sh4AYugX4JF3WrmKXD/BWtstVqeefPLHNOuVyeS6IZlbfT2j377gUW0rTricMkO2oSE5KcPynSwQY/qUgrS9GT247Jh6zzclxbnbRIcj44buAZIvnCteHnM1nGPImbrPskRcHxWRGXZOkCXjyNJb7VcI8ajzzySEi2fBmHV8UBAQEPNVZWVjIFI+MmIfr/SiNRCHu9vb29Q5WUlUolEtPIBOt2uxHBtNbrkqK+21TB2n52SRNNlozEeU5Ye3t7yufzqtVqiXYlPvjElGazqf39/YnEykc0uHZY3DSbzURCQpYrmaTYuksj23WOM8vYSSNQZp2sZxWefGIxsDbjxwEkI0CM7YJhf38/6mXlIukccQiw36NfedL34lAoFFSr1aJnOu1ChGd+morrrJb+cZjmfMHFixdn+n5AQEDAg4KNjY1Mn/fxEbf6gyoBeKIbFKM6hGSvYrEYCVxUTiMCSiOhlc/Y97etzHaRxS0nqWo4K7CKplIpK1fyzZPwhknJlj4ejRU9rkOTuOlwOIz4pLUrtW2TpPScXTrgQPMWeAqFwkwCphXu7gcw7klMZLx2Oh01m81YET+Jq/kSNN1nLAsY82wnTSIk42xlZSXzfueRaCnNtj4pl8s6e/bsXI4jICAg4H5GVmvfpNZ9cIZcLhe14tnf3x9LoAS4v2DlzGes/mLf89VqNZobKfQBtJCLO940mKZyPglwaqvJpoWPB1MIkZS4JvnPF/2I6zup5zq92+GV6FmSop7tIAsHWER7vlkDuEl65DTtnRYJqr8lRffGWvPHPQdJ44VWqe4zPU2RljTqHU5hzaQEW3uMJMxkxXHQk0+fPv1A9wzPilAxHhAQMIZCoaDHH39cn/jEJ1KRgaTPUNEzHA6jTH0yqwi0YaVtq4exWUEQgzBRtUOFCdVAhUIhspFOmhCxA5+ELNU/WTAYDCIyYPuVpPneNKCSmwQCa1OdNbvNZsTZa22Jplu9PwnzEpssZhGdqQijTxHjjmt33GAzDnFlmDWZw108ANsHNK1QTXb0tMfENc96Xmmfl1KppK2tLfX7fTUajUPPIlnOpVIpIo+DwUC3bt3S7u5u7HZDVU9AQEDACKurqzp37pyuXbs28bP5fD5W1EGUtNaMtOCgCtlW8VjrZLc9CsJmpVKJ5niC5wTacSpK4ippqwUW1V8awRG7x7R8ZdoAMtU4WIiSTJBViENQdqtJ+v3+oeudtjKMaud5Yto2QYBqLmzec7lc5OYTZz9+lNjf349s9u2abRbg/uWi0Whk4ne2N+O06wfsc7M4C2WxvKzValpfX9f+/r4ajcYYX+50OtFauFar6dSpU9Gzs729nXg8jzzySEi2DAgICHgZZ8+eVbvd1r179yZ+NqnYpdvtHqpkdecHHE4sr6xUKtE8CXhH8zu0Tb7P/FqtViPnTB+yFPEsIvEOHmU5cJpjmtYeGk5JIiJJq1k5szuH0grG1886LY7jvEurTpdXdrvdiJsfJ0zDoZO0eHR/31jL2lYRXXzWVgSsJdOO/7RjMJ/Pa2trS+VyWY1GQ3t7e2PXpd1uR2P05MmT2tjYUC6X0+7urra3t2OvYaVSCc6WDkJgPCAg4BAqlYpWV1cTgz+SIgvuOPgmJSuCQVZ8AoUlYPSxttlV/Nv2xHazMX3He5QCpgWkE3ugJNvoWbMVOReCnvMIoHKtbZ9K+sPTqzyuYllKH+zMajkaF9hNA6yVsCO3cHuvHxfw3NCqIMt3XLiuDC5IaEkjlM7TIigryZ2UhVmtVnXq1KmIPAIC5Ht7e1EF2+bmpk6cODG2MKrX67pz545eeumlQ9sOVT0BAQEBh7G1tZUqMD6Jf9l2OgS23Uod+kNa2P7akg4FJQm+uoFQ5p9Z7c8XUXXibp9rU6/X1e/35x50pRqHXswkETBfZg1WulVCPg4/GAw0HA4n9vMrFAqpKjCyWtnPKziMSG4xrx6D80a5XNZgMEjdAiHJBnUSd2PNkGasEhSfFYPBQP1+P/X1p4d6EtbW1nTq1CnV6/XoZ1QU7u3tRUHyWq2mc+fOjbXXqtVqOnHihF544QVvkGdra2tsuwEBAQEPO3K5nE6cOJEqMJ4UmPMlE1LkQVseAsPW8ZF5xMJtzUPFOUFx6YAL2KTNrMdrt71oXcoGp7GZT+J5WYpjgKsXwQemaXvjckDbr5prRYCxWCxG1ehx/G5RrW5mXU9wvD5eeVy1Sgrh0lZKJ/HuUqk0Mf6QRodEt54HaEE0r+tfLBZ18uRJbW1tRWulra2tQ7xSOhinW1tbY8/M6dOntbGxocuXL3ufyZBseRghMB4QEODFyspKbGDc9v/OAlf8YDJyiZSPEPqEl8FgENlkAoQ1LNYt0pK1eVecJIFJmWofeuFZTJNph026Bf0Ds27PJ1RDbmxPd7bLPcaaxvYktD0L0+x3miqkJNDTySdyJRGE42B54wMkKAuxo2e4b1uTrjeWtEmYtXeSD1mye+MEzHq9rlOnTml1ddW7vUKhoPX1da2vr0/cx+bmpvL5vF544YXouydPntTJkycD0QwICAhwkM/nE+d0XHTSzmXMyTa4akUilwu4Ios7B/b7/SgBzhVUqPiZVkBZRCVzEhB0bQXOPOD2suz1elEQNasg6rueiJRUBtu+lHyWZFLLlTmGtI5QWZEk0CGuxo2NJL59HIPiwPZJnQR63rvPVFonASqok/Y3b4GaJJg09yCOf+ZyOW1sbOjUqVNea9RcLqdqtRolYyYhn8/rscce0wsvvBCtvanoydqKIiAgIOBhwCQbYNrXZOVfdt7i3y5/xUnPcoO4uYL+13yWdpNxBUZpnGrm1TYuDSqVylilfJxd9zT8yuUNlg9k6SNP1bQL2iNVq1X1er3outn1QqVSibgya4u0nH8a63LrHuMDVum+32e5JscFJJRkuU5xyQNp70tc4Z1FsVicqyPorAkP0sFYpHjH9zxl4ZXlclmXLl3S5cuX1W63o2Si06dPZ2p9+rAgBMYDAgK82NjY0PXr1w/9fBbLER9h9FXittvtQxO/SwAhLj4xjr6LLgaDQSKhyOVyM1UcZ4UV06j2IZhsbYumEc+whnKvLTboWeC7b8PhMAqOQz7c62qFNezcpfTEaBqCjbgdF8hmbPgWScc1+O1DoVCYOlt4OBxGpNv21ko77l3b9mKxGFXU5HK5uQrx08AN/K+vr+vUqVNztzff2NhQtVpVu91WvV5f6iI1ICAg4H7DiRMnDlWNJ4mDkxDn5OLjPi6P6vV6Y8KU5Q2+5MQ48eQ4iZfSuGgEN/YFb6fhlbQvst9F4MuKuJ6C9t7V6/VDlVVU95BoMcmdyMU0wlXStSK51SfW5XK5Y9mGJw6VSmXMeSDrd201nXS4nUESms3mWOAAXukLPswLadcY9K5njGFtefLkyUPnPAtyuZweffRRNZtNDQaD2CTOgICAgICD9b5v7iUgPs1cFpeE5XsXu3MTPY6tq6XkD8Axt/kwaW5K6+YyL1gOhH7mS7ycZr7ynSucijZJaeHjgRwf98Z3jPac6FWeduxMG1yddK3cdkPgOFqlx2EWXZ1e9+51ynKt7XNIe9dcLhclRs5b78+yrnI/S3udtbW1ufK+Uqmkp556KnJhCAHxeITAeEBAgBflctkrSknTBRDjqkixSHQnJ5cI0aMPUYvfu5+j8tolpyCuWpnKgTgisgj4gvo2mIx9J70v0wp6VNT47lOWKhAQl9BQKBSiY0QcjTvGeVm4T0Jc4gPZoPTjJjDMn6MO5mYBySlZjhcyRO9Ue43ot5hljOFyQKVYPp/P1FsnK7K8cziGjY0NnTlzRpVKZSHHJB2Mq0VuPyAgIOBBwcbGxqHAeL/fnzopLU4cbLfbqSp57H4RtwqFgrfavFQqqdfrHTrWJM6IwLpMIcJ3HFTGWLenrNecILQviW7apAYXcAk4TlIPaqzw4TVpMU3Cpe87+Xx+bO6H4zKeEVfvB17JuWQ9Vnj1cDg8tFacRoCz9uYEDHytjeaFtOIjyaTtdlsnT57UqVOnFpbwksvlgm16QEBAQEqcOHHCqyFOW1Ubxyd823M1j8FgEOuG4+oraGbFYlGDwWBsWyT/+TSVSqWSymVlXojjt/ysVCpFXCdrQI/e6759TKNV+u4dvIxEWjcJz6LT6WRO1J1W94pzR0Ubtq6c7GORfGjeYHxnvY+MiV6vd+hcq9VqpkQEm9SYz+ejZMsk+/xZkOWdQ6JxtVrVmTNnVK/XF5YIyboqIBkhMB4QEBCLEydOHBI70liT+JAkurg9hOPsZSyxxNLZnTTpH9jv9712P3H9im3mGFUTZJZhz7OMYLkF/YxcAgdxAsPhMOrDyMSPlSaoVquJVU9JsBO1tUPd29uTNKoGn0TU3eSGSZhGLOe6YMWJjbvPVv5+BMQm67Wh75Xve9MIonyv3W7PvY+pD1nOt1qt6uLFi1NVsQUEBAQELAalUulQwiVBsKyVvPl8PpaTwd+ssBhXJcI8hmDiS57EEppETuvoI434qM+eXRo51bi8stPpzD2ZLCnw2+/3NRgMtLKycqhfMz8D8Eq2ic29nYunFWbdY7SVR1xDruf+/n4ib8wa6J5GeML2lGAtoprLm9xrcT9Ui+fz+dSW4r7vxt3/aapxqBJvtVpL4ehpx04+n9f6+vpYr8eAgICAgKPHxsaGrl69OsZNXGe7tEhq2eE62vAzF77Apctfcrmc8vl8VMXptiyEi7rbsronFedsC24z77lzUrAPrbJWq43xKxIxJY0VosA1isXiWO91aTzInhUkylor9E6nE6030ITQSpPON8vYmSUBo1qtKp/Pq9/vq9PpRH/stpflYjpPVKvVqdc27pgA01jWSwfPdKfTWVpCQVxCi4tarbbwgHhANoTAeEBAQCzW19d15cqVQ0EpxL20k16a3nAQBDKofIB8EKh2K5SpYmaC4TgtELaq1WpUie2rWPJldqbFysrKmKU3IigVJIihk66fKyyRNdhqtVIF6cvlclQ5TvYp96JSqUQZiUngeAnIujb6ZLqS4Scl99OM62/tw7TOBP1+/74NfCfBEvVqtZpJVI/LYpamu85xFraLgs/C1cUyKsQDAgICAqaHL+FyGhFzUkJXr9dTvV6PgrlxvINAF7zRFbn4PfOPFfZAqVSKfo9lX7fbHeNpvkB+lr7JtVpNvV5vjE/afxP0nhTss30Vi8VixAXTHAe2iFwrqqRxNiqVSqm4abVajZIM4LQWtPuh4pgkRx9XabVaib0afeeQFXDo+yHQnRX2Ocr6DO7v78e6NE1znZft3DSJP+fz+YVXiAcEBAQETI9CoaC1tTXt7u6O/TyuECYOJEAmwRaAxFUd9/v9aF4k8dPlRVan6PV6h9xVCoWCCoVCZAlfLBYjvmcLhHxzWFp9lkIaYFvrof2lqbx32/RUKhUVi0U1Go1EPsG1Q5uEW7MeQLfE6XASer1exB19NvpUzcKd41xRpXSak0VSC8e4zz+onLJUKqndbkcJCFn4uRTPy3D3zJqIMBgM5tL7Oy3cJBcXISB+fBEC4wEBAbGII5tub8YkpCGa0ijQVqlUYomC7Sve7/fHtoudov0Z2yGoiwBnt88E61Zgu2i325HgCKGN68vcbre9E3upVBojYZMETPc4IOK2wsn2TIFoQSA7nY63T47NOCVb0a2AoooE+/G4e0J1vj3WarUau2DI4jgwTbbhg0oy3Cq2VqsVZeOmzYKMu4etVitzD8ej6MceFwgJAfGAgICA+wNxCZdZRMw0ATz4Ga1CJm2XoK/9nK9tyf7+fiSwUfXtclwqyCdxGNt/Eg5LkNkHH2/iGMGkedDyPILkJHPSGqVQKIxVILVarSgpgPPn3LgP3BN4iS/gjTPAJEHQ5fKSv984yMIVp+GI01YEHXe4z1Gz2VS1Wo1EzTSIa0+1TCFyWsS13AoB8YCAgID7BydOnDikVUrZ9A0cJ5NA0AuOFAeKNLBKZ/+FQkGlUukQv0Hfo3in2WyOzatwEAK/UrwOQ7IjCZtxFbiDwUDlctmr0ZIMCJJ0O/c64NIIv/BxSklRdfdgMDik6doiEBIDcF1yj5fqZLfa2ndO9joUi8Ux3mp5XlIxiQ9pxo5F2iTS+w2MBcYm9yvLtbROXi7i+OZxQtxzGQLixx8hMB4QEJCIJLKZZqLL5/MTycLKykpEwJKCfEw2EEtXkPPBCnTlcnmsxwaCiJuNaKu97b6x6bHVFT5gVekSUbcvShJRjzunbrerlZWV6PeWyGEbZG2VqKyHrBAA5/uWYFpSjhA6ibi5ZBKSXa/Xo16dEFtry5kG0/RWfxAFzDjCTSZvmucQq9K4MZc1ML4sYGFJAobFxsaGTp8+HSzTAwICAu4TFAoFra+v6+7du4d+h+V4Eu9IY9FM4Hpvby+Tg4wVL90qGAscW0gShTdZIPbBI328xyYDMMfjZuSC/o2+HucWcaJMUh/pTqejSqUSBaQt38BmGzcmuKXlmFTnkDDLdcvlcqpUKmPibNp1g0WtVov6jcNx7TjwWZzGIStHnKZ11P2AlZUV733A2jWpVYF0cG/jxqqkSJjPwiuXJRaWSiWtrq6q0WiMVamHgHhAQEDA/YfV1VVvNSl8aFJFbxpeYrW0SZXUzGWWR66srMS2n8NCvNlsHnLm4djdytfhcOgNIKJhsp+s82qcfunjA0kcAN2Ulob2XO13uKb2+tpCJqrkOXfLK7HI9nFwFzaB0lbfc77lcjmyt5eytX/M4oZJUdODyCvjEi2azaYqlYpXywM4FSSt8Y6jTikdHPvq6qrK5bLu3r07ljwcAuL3D0JgPCAgIBFxwV9JY0JY3HcnEU0ICUJm0udtYJXKY47Dha+/uJtNGCekIRJaq3GfwJNUpeIS8FKp5N2XK7olnRO9hNgO2ZMuGcNWk4Chr2rHNznbKh6bNJAEqrEgmVT0YKGDGEpFEtVVaRwHJvUBQpijauu4EqZZQc/4OEA445JKJgmc02DRYnGxWNS5c+e0sbERjVWe3+FwqHK5HCrEAwICAu5D1Go1b2BcGs37cfwqjbBQqVS0t7cXBXvTzFVWJGu3216+RmDWdW+x24jjTNiO2+/6OGjc+WE97rbXcbmiT5xLOif3d+42SaizFUtYbLrb8YnS9vpkqfZg7dHr9SKxmF7fJBJQLU91Uxo7y0m2/SRFSIfXDA8KfBVrFr1eLzEwDH9P48JwnFCr1XTu3Lko6MD6hASWWq025h4WEBAQEHD8QeJfUkFJ3HyVhpfgtEiw1wZqfbC6RVJSou2pjYblVjYn8RX0Sqv/uJoR1uFxrWjc4G+a5EEssn3HhTbHObhuTDgTsU+qyd1tsR3XKcjllWmTIrGmz+fzajQaUR/3XC4XaVqlUmlse7gcTcIkHY6gf6/XO7SGeFAwScOfxL1J1pzkJpUVi3QvyuVyOn36tE6ePBlx5nPnzqnVakXPHTp1wPFHYP8BAQGJmGRRiF23O/GkJZqQm8FgEFkJQRLjjsVWPLvwBcTjwGdWVlYi2yP2UywWo57gEBl6KbrHE7dtG0x3q8WBFZ98pArbJALilhRQJcN15PpR2RNHFKnETkLc8fq2xeesxZNbzU+1E+Qc4W0SAee623tNID5O6H2QkNZ+KIl0Tep3Mw3SVv1Pg5MnT+rMmTOHhNlyuXyoD1dAQEBAwP2FJO6UJGJmSbaURtXUKysrsRblBFtbrVbiftOIWZVKJepNSM9EuA5W5OVyOeJsri25lDyXuzzbJ8K55+heMyoy2Jd7Tlx/gt9cl06nk2hJD8dLQtoqXN91tmKxrUy3FfdpBVKfiElPy263+0DzStfqMg5Jv6eVzyT+noUn5vP5hV33QqGgs2fPanNzc2yM5nK5xOTvgICAgID7A0m8Ms6txmp/SbA6J9oh/b///+3de4xkeVn/8c+pU/d7d/X93jMDLLCIAZGFYPyJZFmCXA0XI7gYMSpBIwiJ4G1DJGiULBICCllu0UQ0EURABSKYJQgougaSleW2Ozs7M9vTw86lu6urqqvO74/Jc+bU6bp2V3V3db9fyWRnuqtPnapTvfXU9/k+z9Pq563Yp9FotIwprENjt0SgdHOzaCKR8GNJG6cYHPFo1c6tnodOa3rBaud2RSvheCAcOwYr3KvVatPjtQRhKpXS9va2/3zZmmq9Xm8b8/UyJqfXxGewPbs9HosBrUuOxYAWS1phT6/diMLxvHXM7GfG9ihq14GoH738HvY7YrOfFu79ymazmp2d3VWkY691jB4S4wA6slbc7d7UG41Gyx11vbx5JZNJbWxsNH3NghJraROcded5nlKplJ9ED+onIS7dDGhtMcbaQtobs1VLNxqNprY9weC425u4JcbbJfql5kXQVpsMbNdZK8EdqPbmb1Uznapcepm3Wa/Xe1r4Cmp1zW3h0nZm2s7PnZ0df6Zmt9dKuDNBsNXRcdZPdVUkEpHruv7CeyQS2bUAagvBFrAFXwM2ayo4rz7Ifh/seg3j+U8mk5qfnyegBIBjzFrmtVvQarWI2UsL9Wg02jJmCcZJreZbWywVjot6TYjbfduCSKVS0ebmpp9QDh7PZk7aQqfUOc4LsuR0qw2DQcFNmeH4ql33Ivteo9HwY2KLGXpZHOxlAarfag/7bBH+uVqt5rejDCZfe23VLrWO349r16GgXjdKWvv8RqPR1BlKutldwTYRB3+fg693ew1ZTNkprrR5rINWLBY1MzNDJTgAHGMWG7VbU2q1Ia6X90NbL2x1PNtcZaN1jL3XterY2GtC3M7PRhIGW7IHW7nbxk8rinFd1/85S0p3GqUXfM9u99z1UvzU7nkMxmTBTpcWZ3ZaZ+wlJuh3ZEurDXs2FsnGhAbvt1wu99TlstXmzGDn0eOq25pzkOUM7L92Lez3xV7rdh0kNf1udVqrDOYKGo1Gy1zBILTqaInjgU8JADqyShoL5sJVy5L8ZJsFA73srrP5jzb7OHz74Jus7ZIMzhhPp9NNiymtgtZ2rYPszdR1XT9YDCbFpRsLZMFgzu7PFoKs4qZdFZI9L1LnqonwHPPgJoNg1VF4F2g8Hm96zBbw22PoJYjrxIIWa0VqSeytra2mOT8WdIfPJ8jmu9s8PztHa1sUi8U6zpa3+2r19+Osn2C6VWtX+72xDRfB1094odvaaQ2jbajjOMrlcv6Hx3K53NSKNR6Pa3x8XKVS6cRcWwA4qaylYDC+Cdva2mqqvuili43run48WqvVdi2q2fukJfosNtvZ2fGT1DYb3Fp49/OYpBtxnyXaw+9nNrPQ/mtxls2KtORdp02J3d6nLZlpWo2usQWn8OMLbj6wqqR0Ou0vwrY7r142LUg34w6bTW6z2lt9rojH400z2oPq9bq/uGazx+3+bTNmpVLpuOkyvIjZbyXKKOr1Ohm71vV6vWlziSXFXddtWuSPx+NNi9ThRPkgua6rfD7vf0bd3t7eNSprenpa2Wx2KPcPADg6giMx2r33BGMy13W7vh/ajHBLgIfX4mxdTNq9EczOJRhTttqY2Ynrun4yPzhrPMgSzRbT2OPsNa7spdtOOPlsnZHsXGxdtlXhRHB9z1rLB+eJ95JQ7yQYV9ooHNvoGp4x3+mYtlZpPxeMmy1R2+18wl2gTkJc2U+1ePC1EXwt2ucMG1kQHCsaXO+X5H+GGoZMJqN8Pu93y6pUKv7mhlgspnw+37KjJY4HEuMAOrJdWRbMWbI2HNwF3+C67fCzQFO6mQC3RcpWC6TdkqatWADbbjG1XC43BSz1en1X0BOsggju1AzON6zVakomk00zGMOs5XmwHXp4Bk/wvBKJhF9pbhXW4YXNVouFVgFvGxhafTjop62MXePFxUUVCgX/fqvVqjY3N7WxseEHga2ukbV1t+DCnufghgW7NsFZka202ol7nPXauqmT4DWxQL1Tt4BhtEefmJjQ1NRUy2Pb7wsBJgCcHLZQZ+9F1l48HJtYlUwvXW6CsU0wiReu5JG0p64nVg1er9dbxjvBVtD232CFd/A4tjHANnXaaBiL4RqNRttYLdgCMrwQadW74ZjX3mut1bsdo5c4wzZdWvekVvFuP7FDuVyW67o6c+aMv8HUKjs2Nzd19epVP4YNLyoGq42CjzF8O7uPbhtEW1WbHGedqsZ6FWxHap+x7DVrG0yCs1IHLRKJaH5+Xvl8vmUFun12Gua4HwDA0WKbDO09yjo9BmOc4Eztbl35gmtVdlxLkLdar7JuO/1IJpP+Rr9uI2SC5xVOSls79OC4GUl+fBksmGhVxWzHCm8saDe7PRijWqGTpF2dNe38gvGixay2Ttuq42dwnbgbe46KxaIWFhaa7mdra0sbGxtaX19XJpPZNa9culn4ZEUbJhxD2GcRSR03/Nnm1U5dsY6LXjaX9CI8fjMWi/nXyjZh9tPBtF+ZTEaLi4stOwtZVyNiyuOPKwygI6v2NBZo2AwWC77szcSSxZ2O12qxpFqt+gGSHXMvrMp5a2vLr+4Oi0ajLe/DFgDtcWxubvrBs1W2t0rK2syc8JwRmzFkCXF7szftAmibbR4MvOy5Mfb8h1lwmUgk/MDW7rPfahFJGhsb85PidvxEIqHx8XF/kc0CZKtQjsfj/uug1fPV6pqEn5swW+TsdJvjIhKJDLzKJhzU2UJ8+H4HaXZ2VjMzM22Pax0bAAAnRzqdbnpfsHblFjNZjNDr5ql2i2jW4SadTu/rvcaqW7a2tvxWf0FWtRr+urUBD1ayBGMmi2dssc2OZecu3azuDrLuQFtbW01dgtp1MArODQ/G3+HbWhVQmOu6/vgbm21p2rUZ7WR+fr4plotEIspms5qenvY3oiYSCf+1YM+dnUc4rmxVlRNsNdqOdQ44CQuY++0i1Y4tGkq7P2MM+jl1XVerq6ttW1ha9yoWMAHgZMnn803/tjEw0WjUjzktgdxL1akVAQWFE+R7LdQIztyu1Wra3t7e1RraYqvwfQRjTavWtdgumUz6saD9XDAOslgtGHNKaopPraOR1DyyMcy68wSfRyvACGr3fhyM74Ots/ciHo9rdnZ21/1ms1llMpmm802lUv5ascVFvW7is4R3J9Fo1F83Pu6G9RiD1yO8JjroDZf5fF7Ly8ttr6ttRMHxR8U4gK5mZ2e1sbHRsipDurkY0ktCr1vLFQvaLAncz4Jbq12c5XJZmUzG38lpFTIWlAYfh92ffd12qFUqFf8NM1jhHH4clUpF2WxWm5ubfuWCJdbDC1Kd3tjDz6Ht2AwHp+FFp+Dinj1v1p4mmUz6FT+9BhWtAs0gey5adQ+wx7C9va1MJqOdnR2/+0C7axqNRncFJvYc12o1xWIxxeNxf8dvcN5h8ANFq7+H/12v11Wr1XYtFNtibHATRLiNe6uv12o1XblyZSALgfYYB8k6J1j3AvtdCHdIGATHcbSwsNC0oQIAAOnmjLbz5883fT04E86SsJ0W5ky3mKZTK8xOgm0Zw+cZnH9t76+u6/oJaFv0swpW60BksZEt0nme58cNrSq4w3Ozbd6hfS3YKrKT8HFtPE74cYVj23CbctvQFp6f3qvx8fFdC9imXq/71yZ8vuEKdXtO7U+rc7HHE/6axVdWEWUt+MNxX7e4Mvx325gQjgNtMbZd/NjqWJK0ubmp69evt3yu+jGISvEwu06VSsXf5GCtSO1aeJ43kO5H0o3X6/Ly8q4NyAAA5PN55fN5Xbt2renr1p3HcRz/vTk4trCVbhXLFqtaF81+ik4sdgq+LzYaDWUyGb+Fs42Y9DyvaQ3TWPxYr9f991gbS2RxpY1BDD9Oz/P82DYcj4ZnsHcTfm9vtTYajgskNd2PVWJbvNZqDFE3CwsLbTe/BjvYtItFbLNBvV5XJBLxuzq10iquDHamsmPYZtJ+1yeDf7e15Gq12hTDWQGSHd9+ptt/G42Grl692rJyvl/9dCDt19bWlr9pIRzbW0eoQVSQl0olzczMnIhOpOiOxDiArmKxmGZnZ/XII4+0/H5w4a/b4ku1Wu3pDc0CpmQyKc/zOgZqNge73Rt0cBHUAhfbLeo4jj87x+blWfvLYPsgqzqyfwfPxxLSwWpte6zWCtR+1hKTve5QtBaWrYI5qwKy79ncnmBS1R5jMNnfS/LWcRwtLi523CXX7lpHo9GmRddOyXCztLTk/0ywAsUWLV3X9RPrg9RoNPTYY4/p0qVLWlhY2Nc8wunpaW1sbOixxx7T9evX97SrcViBZnCGlD2HrYLN8IeXfkUiES0vL/s7dAEACBsbG+u4QGPxUy+bxHqZP95LK8wgm1PdKvayc7N53va+aotXtsAm3azutuRkcEHQktwWNwbvK9zuM5PJ+AtkjuP4VT0We/YTG3WbsxhuIRrcdGnzphOJhGKxWF+VFIlEQjMzM22/3+kaWkciW3Ts1g4/FotpaWnJfwz2x6o/hhlXVqtVra2taWtrS6dOnepaYdTOxMSEdnZ2dOXKFV25cmXPGyZtbuMgVatV/7UdHCkV7nY1iM2iqVSqY0UPAABzc3Pa3NxsucbYzwiZYBFBJ5Ygt1ngndZv2m20NMGv27GSyaQfI1vcao/B1hbD77GVSsVf9wy+H9vmTIuzqtWqH1daXBec7WzxbS+sSrpdPB9MWtuYxSA7x2Qy6XcH6tX09HTHavNOcaX9nHVV7BZjlUolTUxMNMWU9rMWTw6runhra0tra2tKJpMd4+huxsfHVa1W/bhyL2t+3V7re2UbNIIjOO1zUDCGHcT9z8zMqFQqkRSHj08YAHqSzWbbJrRtplwvAdTOzo5fXdDLbi8LUqziOfwG3ksi0YI9u60lq6UbwZDtHA0utFmleXBB0B6fVRzbY7ddeMHj2u7HVjMzrR15t0W9aDTqL0C2q/S2N3QL7trNKLJF1F5bRs7MzLRs1R40OTnpt3kql8t+ZUt4p20vrfGz2eyhtKqJRCIqlUoaHx/fd3BkYwdyuZxqtZouXryoq1ev9vzzwdfPoNlO2Vgs5j9Oa7tlLWKl1i1JexWNRrWysrKvUQgAgOPPcRwVi8W2C2n9bBILV1V3YvGQVfqEE+QWJ/VS5RqMWZLJpP8zlly2SmTpZoIwWPEaiUT87wePZbMQbSSOdCNetgS43Y9tdLRq5ODcyVYsYR/crBlmrTBtg6hVW4XZeadSqZ7iykgk0nWzpXUSsI0HFy9ebJp9GTzfbvFpMpnsepthicfjWlhY8BPx+xGNRjUxMaGJiQltbGzo/PnzfS1kDrOqx+J/25wsyR8r5Xmev4ljP7LZrBYXFxm7AwDoyHVdZTKZXVXj9r1eYztJTV0mu7G4ygpDwu+51q2o07GClciWmA7GVfV63X+fDXbxSSQSTbPDg2tJwQS5Ja6Dj8nzPDUaDX9N0+7PRsz0UthiMUaj0WhbcR48bqdCJlsXtdb33dakstmsJiYmOt6mUCj4MWo0GtWFCxck7S25am3YD0M6ndbKyspAWonH43FNTU1pcnJSjz32mB599NGeK7B7LbDaK9tobIVq0s0xnjs7O/uuFHccR/Pz8yoWiwM4WxwnJMYB9MSqxs+dO9f09X7b7kjaVVHTCwuWLEls1em9BjUWDNvuyWAyv9FotAw0KpVKU6W4zb+01uH29XQ6rUaj0bQA2mg0moI6q1LqNDcyKBKJ+IFrpVLxfzb8fNuiU6tNA2G2wNluk4HJ5/MaHx/veCxJTUFFMDEePm63IO4ozAQc9I7BWCymxcVFFYtFXbhwoeVzHYlE/Iqr4GL3MFlLeql5Bmc4Qd6PRCKhYrGosbExKnoAAD0ZGxvTtWvXdrWL3ksyr1Oyt5VgK8xgXFkul3ta9LHWi9a6MpycDybKjbWHl27EpLZRLTiHPBaL+Ulxi/12dnaaWmQam79t9xmLxTouJAYrYqx9pSXALUZxXde/D2st3qnixh5jtyr8ubm5rpvmLAlsqtWq1tfXW3ay6RazHYWW24OOK7PZrM6cOaNLly5pfX295XNtcaUlkoeVFDfW0cviyuDnk1bVbL3KZDIqFosqFotU9AAAurKkV7hq3Cp5+12vtNF9vb6P2TqbJeEtvuv1fThc7R2slrX1m3A8ZjGg3S64Vul5np+UDxb+2G2tQtc6D1k8bIn+XpLA9pwGE+xWPW3naudtXUO7bTgIrrm2e+5isZgWFha6xgc2d126Ea/86Ec/8kfnhHW71sctrnQcxx9vdPHiRV25cmXXbcIxZXh85jCEY1t77XZ7TXQSjUb9tcqjcB1x9LCCDaBnhUJB169fb6qC3evOteCiYj/22w7QAopgJY+1TLLvB+cRWbsiC+pazRi3eSfBBUlrAR9cNA1+v5dW8pFIxJ8RFAx6bW647fSUbj6frZKbVqVuGwAs+A3PwrTbzs/P9x142Y5VqyAJ6rbj8zgHKLlcTplMRo888og2Nzf9TgLWumrQ7S170ep3tt/fQ9d1VSgUVCwW/Wo1AAD6MTs7q+3t7aYFtL0m8/bSErBbS+52rHOQtUC3zZbB49omxODoHulm/BisLIpEIorH4/65BDu7BP9ti5zBFpum1aJp+LFKNxctrTrcZiFGIhFVq1W/3aZtHg13i7LYODj2Rrq5cTW84FkqlfZUnVEsFrW+vt73z9m5HEeRSETT09MqFAp68MEHFY1GFYlE/JbmwU26B6nV667f3+N4PO4nw62lKwAAvXJdVwsLCzp79qwfn+y1I1+wq2Q/goUH/YjFYtre3vZjRGsrLd2MKW0DZHC9z2I3WzcMfj28Wc2SztLNUT+W/JSaW7q3S8YHBdu+V6tV//my+deu6zaN0bR1sFbHsdvY45Nudp0MxumRSERLS0t7KsbI5XJtY6RR2HA5DNFoVAsLC8rn83r44YeVSqUOfa2y1caFVp1YO3EcR/l8XsViUdlslrVKdERiHEDPHMfRwsKCXNfVj370o55bDB0F1uKn1QKoBW4bGxv+rjjP81Sv15t2a1oLHXtTTiQSfmW3BcC2uGltBNvtFK1UKopGo02tkYI7LC2ZbXNW0ul002zJYAW5BZI249ICGkv+t1v0tUS6Ley6rqvl5eW+WhZ6nqdr167p4sWLu3aGmm7zP49roGkikYgWFhZ07tw51Wq1Pc+JHJT9tEvP5XIqFovK5XKHXuUPABht8Xhcp06d0oMPPuhXnu61GsHaih9EXGqxnt2XVQkFvy/Jn7scrHq2Km2L5WzUiXRj4TK4wdA2R9qmxmALzbBWVfPBRV07Z4tN4/G4n0y1TkqNRqPpvh3H8Rcyrap+e3u77eJUOp32k+zb29vK5/N9z0NsNBpaX1/3k+K22NrP6+K4j3RJJpNaXV3Vww8/fCAVPJ20G7PVi0gk4m+yTKfTLFwCAPYll8tpZWVFDz30kCTtKya01s6DaGHdzc7Ojj9Kx4Tv1zrzWFFCtVpVo9HwY73gOmCtVlMkEvE3BgQ3WtptrHCmXfKzVqvtiqutsMliU4v3rAticBSkPX/WRcnas1u3TVv3bHf/tk5p8WmtVtPi4mLfo3LK5bIuXLjgx66tYqZOcdRR6G45bPl8XouLi1pbWzv0tcr9xILpdFrFYlGFQoExPOgZiXEAfXEcR7Ozs2o0Gm1nQx5F1g7SFgaDi3r1et2vwAkmDYNJcvuevcHazkyrLE8mk37bomg0qo2Nja7nFF7EjUajqlQqu4Ji6eYiaHiWuLUDCrbt7HVnq83BtEXbxcXFvmfneJ6n69evNwWT4eDWFlPbfag47olx6eamknPnzh36hpJ+dz4nEgmNjY2pUCgc2mwlAMDxFIvFtLq6qoceemjfrZ8PKrFm3YWs6rperzdVrNt8ymCy2dpaSjdiJ6vWsXMObny0sTeWFA4mxTsJxha2UGqbLoM/H6yUtxbuwTbrNu6oVqv1Fa9YJXyj0VCxWNTc3Fzf16RarerKlSu74vFgnNktEXwSKo4TiYSWlpb08MMPN7UxPWi2ybcfmUxGY2Njyufzx36xGQBwsDKZjJaWlrS2tjaQuPIgEuPWwUe6Wd0dvG8b47izs+NvXKzX635cGY1G/a/bBkgrCrJ1TCvwSaVSe6oEtvNq1fXT4jIrvLGY2DZ/WhdOqfeOMo1GQ+Vy2V9nXVhYUC6X6/u8q9Vq0+O1IiR7DPbctyseOQlrldKN5LjjOFpbWxuZ4jfpxmt/bGxMxWLxxFwrDBaJcQB9s0Rwq1kk/eh3ds9+WPseCy6DC4ZW7RBsXyS1btueTqeVyWTkeZ5fpRFOdG5sbPQ8AyXcWlOSNjc3WyZPrS1R+Lh7bdkkyX8cKysre6qwsWrobDar8+fP+4tzwVnolUrFD87tuQ4+t8e9ssdYcvyRRx7x2+wfhl5eK1bFMzY2Rqt0AMBQ2bzs/Tqo5KC1EbfFRovPyuWyv4EsOG/S4txw/GadhzKZjL/5Mjyr2zoM9VI1bedkGzU9z9POzo5fyRNe9AuO/QnaT3xSrVaVzWY1Nze3p6RnMpnUmTNndOHCBT322GOSdsfjVqVkC2DB2ZzBeYjHnW1qPXfunLa3t/fVEWiver3GsVjMn/F4EjYuAAAOTywWG0hyb6+t2Pu1s7PjF/DYWpp1oLR1SxvPE4zRWo1QtM6T1hUovDkyOAKoW9xg9xVMbAdHRQZZ/GVrf0H7uRbb29taWFjY01ge6cY40FQqpXPnzjW1mjf23LaLK09SstU2Hly6dOlAXvet9BLLOo6jXC6nsbExWqVj30iMA9iTdDq9pxnhYXuZ3dMvSzoH2zGmUim/VXrw/m0XZbvgzYK8boFCcC55J9ZOKHy87e3tpkXM4DzwWCy2p1marcRiMa2srOw74LM2iJcvX9b29nZTxbstVAcXNl3X9RfGTtICmeM4mp+f1/nz5/1qrHaszekgdyn38pqcmprSxMQEVTwAgAOTzWa1tbW1r+SetSEfdnWPdfiRbsaY1ha9VXzWrt10tVr1q7M7Ve/YzMZeWCvLcHVMOLa1TW/t4tC9yuVyWlxc3FcMEYlEND8/r1wu51ePBzsxWdwefDy2+fKkdbaJx+NaWFjQ+fPnu3ar2s+ogna6LUa6rutfSxYuAQAHwTZjXblyZV8x4UFsOLNZ3CYWi8nzPH+Tn71vWzFMpzXYYHtzO/dWj7/X2M/zvJbdLMvlctPPWydNK3oKFsnsh+M4WlxcVD6f39dx4vG4VldX9dhjj+n69etNz7c9T1ahbiyuPClFPMaS4+vr6x07xFqB2aDWpU23Tc65XE7z8/N7mjMPtMIrCcCepNNpnT59Wt/73vf2FfQcRGuiIJt3bfMVWwWV1u4nnBxvFzy2W+jpZQHKkvNhNj/IzsVuG/ya53ktd2T2Kh6Pa2VlZWCJ6Xg8rtnZWUk3gu1r167pypUrLV8f9XpdjUZDuVzuxFT2GMdxNDc3p0ceeaRl14VsNqtSqeQnCc6ePds2QLQ5Uda69Nq1ax3vu9trcnp6WpOTk309HgAA9mtiYkLZbFbf+9739nyMg2p5afdhi492361YxbbUvNjjOE7biqZW1d02m7zbAlSlUmkZM5TLZT9WsE2pNmLIEvv7nVddKBS0sLAwsARoPp9XPp+X53na3NzU1atX2y5yVyoV5XI5ZbPZgdz3KLH4+/z587sWMR3HUbFYVKlUUiKR0Nrami5dutT2WLYIbK/Nbp/xum1uPnXq1ImqtgIAHD7bYBeLxbS2trav4wxbJBLx4zZbb4zFYorFYi3fg609engds11xT7u4uNc13HY/b/GobbQMzjLf2dnZd1zpOI6Wlpb21D693fHGx8c1Pj7ujwW9cuWKrl692vL2lUpFU1NTfrv6kySXy/lFPOHPHclkUqVSSYVCQZ7n6eGHH+64MTOdTvubDK5cudIxbuy2VplOp7W0tMRGSwwUiXEAe2aLevtJjB9U28tIJOK3QrKEeDQabZoPHo/H/RaW5XLZb5lu7calm20vWwWd9oa/s7Oza5ZNO512apbLZT/IDLezDlf99NueKJFIaGVlZWiVNYlEQpOTkyqVSrp48eKueZHSjYBrZmZmKPd/1DmOo8nJSdVqNX8R0xLmY2Nj/u0ymYxOnTqlhx56qCkodV3XD+yD13B7e1uPPvqorl+/3vJ+u30wKRQK+3lYAADs2X5jEtv8OGzB9ulWdbO5uenHdKlUyp8tvr29rVqtplgs5v9Mo9HwW2JaEjxcLWTHlW52KYpGox0T49FotOPMZ6vssIqjYFeaYNVPIpHoO64sFouan58fymKV4zjKZrP+xkFrHR6+jW0qPIkSiYSy2ax2dnb8zx+xWEzLy8tN1U7T09OKxWI6f/78rp8vlUoqFot+IsDzPF25ckVra2stf6+6bdRIpVIkxQEAh2YUusgERyta7OV5njY2NpRKpfyW5zYWslKp+CMg7bbWBTOYpDb2Pm0dG+373arP7Zzafd/uz+aAJxIJ/7HU6/WmuNJmovcqEoloeXlZmUym55/pRyQSUS6XUy6XU7FY1MWLF7Wzs9N0jslkUpOTkyc2CVsoFHTt2rWmzwpjY2Oam5trek6Wl5d14cIF/ehHP/K/ZmMZS6VSUww6NTWly5cva319veXroVtivFAonNjrgeEhMQ5gX/bbwuQgEuO2wGPBme1Ss3Y/juP4wWQkElEqldLOzk7Trke7veu6uxZ5rAqnVqv5syCtbWYw2LT2lpFIRJFIRNVq1T+nWCzmz+eWbs7dtuqncKVPMGAol8t9zWpPJpNaWVk5kPYzkUhEc3Nzmpubk+d5foW8Ld6eZIlEQul02n/tLS0ttQz+E4mETp06pUqlItd1/ddXq6AwmUxqeXlZW1tbevTRR5sqh7q1tEomkyeqrT0A4GixxbO9Vn0f1AiQeDzeclOjxXCNRsN/v7WFQptBHmQjfsLnHYlEmjZO2t/Di5PhuLJcLvuxoFWF23NplTuJREL1et1vgympaa65Je37MT4+rtnZ2QNZrLIZ5J7nqdFo+AuZyWTyxI+AKZVK2tjY8Fv0Ly8vt4y1x8fH/c0bneJKx3E0NjamQqGgxx57TJcuXWr6rNFto8agqrwAANiLUVhvikQiisViTXGlre0FY2KLAZPJpJ8MD78H2+icoEaj4b/nWxxqCe3g+761xrZ4IJjctljT5nHbmqjneU3xajKZ3FX402g0+hrZE4lEtLKycmCV2pYgl+SvV3qeNxKbKobJcRxNTU356+IzMzMqlUotY8XZ2VmNjY35MWW7eDwSiWhyclLj4+NaX1/X5cuXmz5zdCssI67EMBz9dwkAR5q1e97rbBGr4h6m4IwdSX6VjiW6w9/b3t6W67otF2YTicSu87VqHzuOzdWp1+tyHMcPBMMVQUHBYNiCCatUt0UoC3QtKLXzs52hvSTG0+m0lpeXD6V9ueM4JMRDJicn5bqucrlcx6qafp+3dDqt1dVVbWxs6NFHH1W5XO56zQk0AQCHyXEcv0JhL3Mdq9Vq23neg9IqDrT7C1Z5m0qlokQi0bbiptFo7KqOsA2Rxlqdb21t+RsnLbZtN9PcdV2/Vbot7sXj8aYNc1bJnkql/MfkOI7fTrtTFZGZmJjQ9PT0gVdw2HmetHE8ndhm1GvXrqlUKnXcKBBeOO923FKppLGxMV2+fFmXLl1q2vzRDnElAOAwJZNJ5XI5bWxs7GnT5UEV8bTa+CjJj/uC8Z5Vi7daQ00mk207/gTfs7e3t/1umYlEwu8m1Gl8X7izkX09eB72HAc7ylgCvZdxQK7ramVlpa8YZZBsvRI3JJNJTU9P+yMw27Hxjr1yXVfT09MqlUq6dOmSfvSjH3X8rCTdeB1RxINh4DcewL4Ui0UVi0U9/PDDbeeztJJMJjUxMeHveLT5M57nKZPJaG1trW076H60q5K1YDP8vU7t4V3X3RWAWuAUTkrb4mgvM8DDwdfOzo4fqBqr9AlW9QS/Zo+1Wq22vb9cLqfFxcUTX1FzlEQiEU1MTAzt+NlsVplMRtevX+86X4sFTADAYVtYWFCj0dD999/f1yJmoVBQoVBQPB7352fXajUlk0nV6/W27aD71SoRG1xIDMZpUue2gK0WNtslpLe2tvyRPeE50mFWeS/JX0wNzrCMRqN+nGkbLW3k0Pb29q5K9XZmZ2dVKpU6ngsOlo0yGoZgpY8lyNuJRqNN7TMBADhoNlLk+vXreuihh3r+uWg0qsnJSWWzWUUiET+mrNVqyufzunr1att20P3qtsksHBN2is1axc2txi5a151OP2esCjhYmON5XtM5BEf/WNGQrfPa43Mcp2MHw3g8rpWVFZKfR8yw2tlLN37PZmdnNTExocuXL3dMjLNWiWEhMQ5gINLpdE+J8UQioenpaeVyuabqkvAOM2sHff78+Z4qVtqx3YzhhHG76upOuyxt7qJV6bRLipvt7W1/LpC10ZTk/93zPFWrVb+Vdqcg1yqKbDZQrVbbdVurSrI5REEH2eYSR4vjOMrn88pms7p06ZLW19d3ffhJpVKHtjMXAIAgG2vTS0ehXC6n6enprkk4awd98eLFPbdqN+HxNa7r+v8OHjvcUSjM87ymRHirxcsgS27bjEjpZkxps8srlYq/0dSObYlvW8C19pjRaNRvsbm1tbXr+Q5Wqgc5jqOFhQUVCoVenzIcI67rampqSoVCQefPn2+5UWN8fJzPHACAI6HXjVqWEB8bG2sqJgm31bZNYmtra7p8+fK+zss6PwY3UbaLU7vFxtbi3JLPndY2d3Z2lMlktLOz45+HsbVK615p43dsHbTRaPgxrp1vuVxWJBLxE+nhNVxLkrfaAJpKpdqOf8HxF4vFNDMzo1wup/Pnz7csXhsfHz+ks8Nxx/91AAxEt6S4VYgXCoWeF0rS6bROnTql9fV1bW5uqlwu99Va01r72M9YO+pardaxTZAJBnuS/F2i9niCOyBbaTQa/mKRzS1vVzWUSqWaWgttbW01tRuywNzmQrZTqVT8eZW2SDs1NaXJyUkWqE64SCSi6elpFYvFpoXMRCKh+fl5Xh8AgCOhWq12jHWkGwnxycnJnmcQWjvoTCaj9fX1PY0BCo7/cRxH8Xjcn+3dSqPRUDwe92PO8Px0+znbCNCtEjx4+26jiMIz/mq1mp/k9jyvaQRPp+OEk+ORSETLy8tDrSDBaEgkElpZWdGVK1d08eJF/3VeKBSG2g0JAIB+dFurjMViGh8f7zqGJMh1Xc3OziqbzeratWva2trqWv0d5jhOUwwZj8ebZoGHBdcSbfRiMK60WM1G4nSLK+370WhUsVisY4GQdS6yDZjSza5Idg6dNoMaKx6y+6KrJUwmk9Hp06e1vr6u9fV1f5793NwcnQQwNCTGAQxEcPfi+Pi4X9Gcy+U0Pj7uz8HuVyQS0dTUlKQbuwy3t7dVLpf9ypZOi5rBCh5JfmV2u9taJXYmk/F3PbZraWkBXXiRsx0L/II7LYM8z9POzk5TFZL9NxKJ9BVk12o1v02m7XgFjC1kNhoN7ezs+BspAAA4CmKxmL+R0XVdFYtFbW5uamdnR2NjYxobG9vzAkkymdTCwoIk+VUwFlN224AZfK/stjnSqm+C8wqtejvMNlJ2qxgP3t4qvlstZDqOo+3tbSUSibbn1k83pq2tLX+D5/LyMi2y4XMcR2NjYyoUCtrZ2fHbpwIAcFQEN1Hm83nF43Fdv35d8XhcY2Nju7pZ9iOXy/ltnq2IJRhXdmq3Hv5ep7XNdDrtV3nb2qHrui3jxnq97s8R72UTqK2T2obPcIxomzHD44Rc1/W7Y/bDKtATiYTm5uYo0IDP1v8nJyf9z2StxlgBg0JiHMBARKNRFYtFf264JL8iZVAcx/FbPlsrlZ2dHW1sbOjKlSva2Nhoun0/1eXBoNJ1XT8YrFQqu1pmmnK53HV3ZZjN3QlX39j9BRddG42GEolEx2qkdur1uubm5pTP5/v6OZwMjuPIdV2CTADAkeN5nlKplPL5vKampvz3qkHHldFotGlB05LdV69e1dWrV/uuKDfxeFyVSqXpfC0h3mm+Yrlc9kfwtNvIGWQLmYlEwh/PI91snVmpVJriTduAuZdZ6/V6Xaurq1RsoKVIJMJrAwBwJHmep/HxcWWzWX99bGZmZuD347qustmsstmsf7/b29t+XBmOv3otTgjGctFodNd871adf+r1uur1utLptMrlck/FPBZHhrtd2rpqq66WncZBdpJKpTQ9PU1SHC3ZeiUwbCTGAQzE5OTkrq8dRJBjCflisaidnR1dvXpVV65cUblcViKR6DmhHI1GVa1Wd83Dsd2Y7djOyn5YpY9VREk3K8qr1WpTcFmv13taHA1yHEdLS0v+Qi8AAMCoiEQiWlpa2vX1YceVjuMomUwqmUxqampK5XLZjyvr9XrPs8ltDnilUtk1D7LbIqjFr/3EfpZot6R6uK2mJeOr1Wrf1eLSzU4z4RmbAAAAR10mkzmUETDBwp7p6WltbW35caXjOD1vwKzX636xTjg+7BabVqvVnuNXE+x2WavVmuLGer0u13X96vi9dImZnJzU1NQUSXEAh47eqQCOjWg0qlKppFOnTqlUKnUMNBOJhOLxuFKplKSbMxSt8iao20Jgv4lrU6vV/N2bwaDQzsVmDHVqvxRmsx9JigMAAOyN4zhKp9OanZ3VmTNnlMvlOm62tJaQjuOoXq/7HYfCsWi3au1oNNr3jEpTLpe1s7OzK/luI3ZsnE8/EomEVldXSYoDAADskeM4ymQympub08rKihKJRMcOl8G1ykql4lfPWmFN8Lid7Keby9bWlur1etP6qCXpI5FIX50zzdTUFJXiAI4MEuMAjh3HcTQzM+O3MGrFdV1Vq1VVq1W5rtsU1EUiEWUyGaXTaaXTaX9edyuxWGzPrTbN9vZ2U/W4dCMItVl9vbKkeKfHDQAAgN7FYjHNzs7uWowMqtVqqlQqfuWMbbZ0XVfxeFzpdFqpVEqxWKxp1mXYINpR2wZL02g05Hle360uk8mkVldXOz5uAAAA9C6dTrfsuGmsXbmN2JGaK8OtCt1izU5x5V7G5wQ1Gg2/A5KxDZz9roPOzMxoampqX+cDAIPEp1wAx5LjOJqfn2+aG/nYY481tSi3/0ajUXmeJ8/z/LmM4Vk5wUAwKBaL7TvYlOQn6IMze/pNiq+srHQMigEAANC/eDyulZUVfxNlrVbT5cuX/ZaSFgsGR/lY28tGo6FGo9HUYajdrPFBxJTSjeR4Mpn0Z533031IuhH3rqysMN8PAABgwHK5nE6dOuXHZ5ubm7p8+bI8z2vqOGRFNMGRi+EY0roFhdcP28WaexFeI+1nrVKSZmdnVSqVBnIuADAoJMYBHFuRSETFYtH/d7FY1KOPPqr19fWmNpO2y9J1Xb/F5M7OjlKplL9Dslwu+4lrx3FUq9X86qBBqdfrajQaSqVSfbckWl1dbZu8BwAAwP7Y/HFTKpX0/e9/X9VqVY7j+NU8lUpF6XRa1WrV34DZaDSaFhQrlYri8bi/OXN7e9ufSz4odsx6vd5XYtxmipMUBwAAGI5gUUsul1OxWNT3vve9pupwz/MUiUSUSCT8GNJ1XSUSCbmuq62tLT9JbXFlo9HwC28GaWtra09rldPT0yTFARxJtFIHcGI4jqNCoeD/3diioS1GOo6jaDTalAxPp9Oq1+sql8va2tpSrVZTIpHouwKnm/C88V7k83mS4gAAAAfIdV3l83lJzS3QU6mUKpWKXyHuOI4ikYjfEjOZTCqRSKharWpra0vlctmvEBq0arXa93zwyclJkuIAAAAHyOLD4CZJ13Xlum7T1xzHUaVSUa1WUzKZVDqd9qvKt7a2tL29rUajMbAuREH9buB0XZekOIAji4pxACdKcHHQdlqGZy5Go1G/cty+ZzsurT2mtV4/TIlEQplMRuPj44d6HgAAACeRJcQbjYbfVShcSWObLSU1fS+RSMhxHD/mHFZc2Wu7S5uDbptIAQAAcHCsk5C1TrfCHBOJRPyNl9bF0iSTSXmeN9DuQ2GtWra3EovFlM1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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# same map as above, but for education_school only\n", - "education_type = 'education_school'\n", - "subset = activity_chains_plot[activity_chains_plot['education_type'] == education_type]\n", - "\n", - "fig, ax = plt.subplots(figsize=(10, 8))\n", - "boundaries.plot(ax=ax, color='lightgrey')\n", - "subset.plot(ax=ax, color=subset['color'], markersize=1)\n", - "plt.title(f'Activity Chains for {education_type}')\n", - "plt.show()\n", - "\n", - "\n", - "\n" + "plot_activity_chains(activity_chains_plot, \"education_kg\", 5000, boundaries)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 104, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hussein/miniconda3/envs/pam/lib/python3.11/site-packages/geopandas/geodataframe.py:1525: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " super().__setitem__(key, value)\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_activity_chains(activity_chains_plot, \"education_school\", 5000, boundaries)" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/hussein/miniconda3/envs/pam/lib/python3.11/site-packages/geopandas/geodataframe.py:1525: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " super().__setitem__(key, value)\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_activity_chains(activity_chains_plot, \"education_university\", 5000, boundaries)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Bar Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", "education_types = activity_chains_plot['education_type'].unique()\n", "\n", "# Calculate the number of rows needed for the subplot grid\n", @@ -30906,42 +10532,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 68, "metadata": {}, - "outputs": [], - "source": [ - "# histogram of activity_chains_plot[\"length\"]\n", - "fig, ax = plt.subplots(figsize=(10, 8))\n", - "ax.hist(activity_chains_plot['TripDisIncSW'], bins=15, edgecolor='black')\n", - "ax.set_title('Activity Chain Lengths')\n", - "ax.set_xlabel('Length')\n", - "ax.set_ylabel('Frequency')\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot the travel distance histogram\n", - "fig, ax = plt.subplots(figsize=(10, 8))\n", - "ax.hist(activity_chains_plot['length'], bins=15, edgecolor='black')\n", - "ax.set_title('Activity Chain Lengths')\n", - "ax.set_xlabel('Length')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "i = 1005\n", - "# get ith value of activity_chains_edu dzone column\n", - "destination_zone = activity_chains_edu.iloc[i]['dzone']\n", - "activity_chains_edu.iloc[i], destination_zone" + "activity_chains_plot['length'] = activity_chains_plot['length'] / 1000\n", + "\n", + "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n", + "\n", + "# Histogram of 'TripDisIncSW'\n", + "axs[0].hist(activity_chains_plot['TripDisIncSW'], bins=15, edgecolor='black')\n", + "axs[0].set_title('TripDisIncSW (NTS)')\n", + "\n", + "# Histogram of 'length'\n", + "axs[1].hist(activity_chains_plot['length'], bins=15, edgecolor='black')\n", + "axs[1].set_title('Actual Trip Length (After assigning to location)')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" ] }, {