From cd0a129633ae9466b062e36b5d9b656cd607fce9 Mon Sep 17 00:00:00 2001 From: Oscar Date: Sun, 3 May 2020 18:51:17 +0100 Subject: [PATCH 01/15] Added Chapter 6 --- Rethinking_2/Chp_06.ipynb | 3109 +++++++++++++++++++++++++++++++++++++ 1 file changed, 3109 insertions(+) create mode 100644 Rethinking_2/Chp_06.ipynb diff --git a/Rethinking_2/Chp_06.ipynb b/Rethinking_2/Chp_06.ipynb new file mode 100644 index 0000000..6e9fefd --- /dev/null +++ b/Rethinking_2/Chp_06.ipynb @@ -0,0 +1,3109 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chapter 6" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import arviz as az\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "import pandas as pd\n", + "import pymc3 as pm\n", + "from scipy import stats" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%config Inline.figure_format = 'retina'\n", + "az.style.use('arviz-darkgrid')\n", + "np.random.seed(0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.1" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1. , -0.74495204],\n", + " [-0.74495204, 1. ]])" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.random.seed(3)\n", + "N = 200 # num grant proposals\n", + "p = 0.1 # proportion to select\n", + "# uncorrelated newsworthiness and trustworthiness\n", + "nw = np.random.normal(size=N)\n", + "tw = np.random.normal(size=N)\n", + "# select top 10% of combined scores\n", + "s = nw + tw # total score\n", + "q = np.quantile(s, 1-p) # top 10% threshold\n", + "selected = s >= q\n", + "cor = np.corrcoef(tw[selected], nw[selected])\n", + "cor" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'trustworthiness')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 6.1\n", + "plt.scatter(nw[~selected], tw[~selected], lw=1, edgecolor='k', color=(0,0,0,0))\n", + "plt.scatter(nw[selected], tw[selected], color='C0')\n", + "plt.text(0.8, 2.5, 'selected', color='C0')\n", + "\n", + "# correlation line\n", + "xn = np.array([-2,3])\n", + "plt.plot(xn, tw[selected].mean() + cor[0,1] * (xn - nw[selected].mean()))\n", + "\n", + "plt.xlabel('newsworthiness')\n", + "plt.ylabel('trustworthiness')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.2" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
heightleg_leftleg_right
010.1781074.2064294.158048
111.5577944.7698754.825845
212.5292905.5439525.529080
38.2389773.8537353.801846
410.4728114.3330444.290579
\n", + "
" + ], + "text/plain": [ + " height leg_left leg_right\n", + "0 10.178107 4.206429 4.158048\n", + "1 11.557794 4.769875 4.825845\n", + "2 12.529290 5.543952 5.529080\n", + "3 8.238977 3.853735 3.801846\n", + "4 10.472811 4.333044 4.290579" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 100 # number of individuals\n", + "height = np.random.normal(10, 2, N) # sim total height of each\n", + "leg_prop = np.random.uniform(0.4, 0.5, N) # leg as proportion of height\n", + "leg_left = leg_prop * height + np.random.normal(0, 0.02, N) # sim left leg as proportion + error\n", + "leg_right = leg_prop * height + np.random.normal(0, 0.02, N) # sim right leg as proportion + error\n", + "\n", + "d = pd.DataFrame(np.vstack([height,leg_left,leg_right]).T, columns=['height', 'leg_left', 'leg_right']) # combine into data frame\n", + "\n", + "d.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.3" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, br, bl, a]\n", + "Sampling 2 chains, 1 divergences: 100%|██████████| 2000/2000 [01:04<00:00, 30.93draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.9950.3500.4411.5360.0150.011516.0477.0517.0471.01.00
bl-1.9262.232-5.3661.4220.1240.096323.0270.0333.0417.01.01
br3.9482.2200.5157.2430.1230.094327.0282.0336.0417.01.01
sigma0.6430.0470.5770.7250.0020.001594.0592.0612.0507.01.00
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.995 0.350 0.441 1.536 0.015 0.011 516.0 \n", + "bl -1.926 2.232 -5.366 1.422 0.124 0.096 323.0 \n", + "br 3.948 2.220 0.515 7.243 0.123 0.094 327.0 \n", + "sigma 0.643 0.047 0.577 0.725 0.002 0.001 594.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 477.0 517.0 471.0 1.00 \n", + "bl 270.0 333.0 417.0 1.01 \n", + "br 282.0 336.0 417.0 1.01 \n", + "sigma 592.0 612.0 507.0 1.00 " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_1:\n", + " a = pm.Normal('a', 10, 100)\n", + " bl = pm.Normal('bl', 2, 10)\n", + " br = pm.Normal('br', 2, 10)\n", + " \n", + " mu = pm.Deterministic('mu', a + bl * d.leg_left + br * d.leg_right)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " height = pm.Normal('height', mu=mu, sigma=sigma, observed=d.height)\n", + " \n", + " m_6_1_trace = pm.sample()\n", + "\n", + "az.summary(m_6_1_trace, var_names=['~mu'], credible_interval=.89)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.4" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_ = az.plot_forest(m_6_1_trace, var_names=['~mu'], combined=True, figsize=[5, 2], credible_interval=0.89)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.5 & 6.6\n", + "\n", + "Because we used MCMC (c.f. `quap`), the posterior samples are already in `m_6_1_trace`." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'sum of bl and br')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=[7, 3])\n", + "\n", + "# code 6.5\n", + "ax1.scatter(m_6_1_trace[br], m_6_1_trace[bl], alpha=0.05, s=20)\n", + "ax1.set_xlabel('br')\n", + "ax1.set_ylabel('bl')\n", + "\n", + "# code 6.6\n", + "az.plot_kde(m_6_1_trace[br] + m_6_1_trace[bl], ax=ax2)\n", + "ax2.set_ylabel('Density')\n", + "ax2.set_xlabel('sum of bl and br')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.7" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bl, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 660.54draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.9060.3280.3691.3950.0170.012360.0345.0362.0351.01.0
bl2.0360.0711.9352.1540.0040.003354.0354.0358.0326.01.0
sigma0.6530.0470.5770.7250.0020.002402.0402.0401.0403.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.906 0.328 0.369 1.395 0.017 0.012 360.0 \n", + "bl 2.036 0.071 1.935 2.154 0.004 0.003 354.0 \n", + "sigma 0.653 0.047 0.577 0.725 0.002 0.002 402.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 345.0 362.0 351.0 1.0 \n", + "bl 354.0 358.0 326.0 1.0 \n", + "sigma 402.0 401.0 403.0 1.0 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_2:\n", + " a = pm.Normal('a', 10, 100)\n", + " bl = pm.Normal('bl', 2, 10)\n", + " \n", + " mu = pm.Deterministic('mu', a + bl * d.leg_left)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " height = pm.Normal('height', mu=mu, sigma=sigma, observed=d.height)\n", + " \n", + " m_6_2_trace = pm.sample()\n", + "\n", + "az.summary(m_6_2_trace, var_names=['~mu'], credible_interval=.89)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.8" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
cladespecieskcal.per.gperc.fatperc.proteinperc.lactosemassneocortex.percKFL
0StrepsirrhineEulemur fulvus0.4916.6015.4267.981.9555.16-0.940041-1.2172431.307262
1StrepsirrhineE macaco0.5119.2716.9163.822.09NaN-0.816126-1.0303551.011285
2StrepsirrhineE mongoz0.4614.1116.8569.042.51NaN-1.125913-1.3915311.382679
3StrepsirrhineE rubriventer0.4814.9113.1871.911.62NaN-1.001998-1.3355351.586874
4StrepsirrhineLemur catta0.6027.2819.5053.222.19NaN-0.258511-0.4696930.257115
\n", + "
" + ], + "text/plain": [ + " clade species kcal.per.g perc.fat perc.protein \\\n", + "0 Strepsirrhine Eulemur fulvus 0.49 16.60 15.42 \n", + "1 Strepsirrhine E macaco 0.51 19.27 16.91 \n", + "2 Strepsirrhine E mongoz 0.46 14.11 16.85 \n", + "3 Strepsirrhine E rubriventer 0.48 14.91 13.18 \n", + "4 Strepsirrhine Lemur catta 0.60 27.28 19.50 \n", + "\n", + " perc.lactose mass neocortex.perc K F L \n", + "0 67.98 1.95 55.16 -0.940041 -1.217243 1.307262 \n", + "1 63.82 2.09 NaN -0.816126 -1.030355 1.011285 \n", + "2 69.04 2.51 NaN -1.125913 -1.391531 1.382679 \n", + "3 71.91 1.62 NaN -1.001998 -1.335535 1.586874 \n", + "4 53.22 2.19 NaN -0.258511 -0.469693 0.257115 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d = pd.read_csv('Data/milk.csv', sep=';')\n", + "\n", + "d.loc[:, 'K'] = (d.loc[:, 'kcal.per.g'] - d.loc[:, 'kcal.per.g'].mean()) / d.loc[:, 'kcal.per.g'].std()\n", + "d.loc[:, 'F'] = (d.loc[:, 'perc.fat'] - d.loc[:, 'perc.fat'].mean()) / d.loc[:, 'perc.fat'].std()\n", + "d.loc[:, 'L'] = (d.loc[:, 'perc.lactose'] - d.loc[:, 'perc.lactose'].mean()) / d.loc[:, 'perc.lactose'].std()\n", + "\n", + "d.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.9" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bF, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1849.02draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0030.089-0.1280.1450.0030.0031095.0424.01117.0616.01.0
bF0.8510.0950.7021.0030.0030.002992.0992.01046.0574.01.0
sigma0.4920.0720.3750.5980.0030.002740.0684.0904.0613.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a -0.003 0.089 -0.128 0.145 0.003 0.003 1095.0 \n", + "bF 0.851 0.095 0.702 1.003 0.003 0.002 992.0 \n", + "sigma 0.492 0.072 0.375 0.598 0.003 0.002 740.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 424.0 1117.0 616.0 1.0 \n", + "bF 992.0 1046.0 574.0 1.0 \n", + "sigma 684.0 904.0 613.0 1.0 " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# kcal.per.g regressed on perc.fat\n", + "with pm.Model() as m_6_3:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bF = pm.Normal('bF', 0, 0.5)\n", + " \n", + " mu = pm.Deterministic('mu', a + bF * d.F)\n", + " sigma = pm.Exponential('sigma', 1)\n", + "\n", + " K = pm.Normal('K', mu, sigma, observed=d.K)\n", + " \n", + " m_6_3_trace = pm.sample()\n", + "\n", + "az.summary(m_6_3_trace, var_names=['~mu'], credible_interval=.89)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bF, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1820.75draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.0030.074-0.1100.1230.0020.002885.0624.0889.0539.01.0
bF-0.9000.075-1.027-0.7940.0020.002917.0917.0927.0717.01.0
sigma0.4110.0580.3260.5030.0020.0011041.01020.01038.0600.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.003 0.074 -0.110 0.123 0.002 0.002 885.0 \n", + "bF -0.900 0.075 -1.027 -0.794 0.002 0.002 917.0 \n", + "sigma 0.411 0.058 0.326 0.503 0.002 0.001 1041.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 624.0 889.0 539.0 1.0 \n", + "bF 917.0 927.0 717.0 1.0 \n", + "sigma 1020.0 1038.0 600.0 1.0 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# kcal.per.g regressed on perc.lactose\n", + "with pm.Model() as m_6_4:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bL = pm.Normal('bF', 0, 0.5)\n", + " \n", + " mu = pm.Deterministic('mu', a + bL * d.L)\n", + " sigma = pm.Exponential('sigma', 1)\n", + "\n", + " K = pm.Normal('K', mu, sigma, observed=d.K)\n", + " \n", + " m_6_4_trace = pm.sample()\n", + " \n", + "az.summary(m_6_4_trace, var_names=['~mu'], credible_interval=.89)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.10" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bL, bF, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 889.74draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0010.075-0.1510.1300.0030.003683.0403.0661.0644.01.00
bF0.2440.212-0.1440.6440.0110.008392.0392.0389.0344.01.01
bL-0.6730.209-1.064-0.2860.0100.008401.0381.0398.0369.01.01
sigma0.4170.0650.3080.5350.0030.002408.0408.0364.0272.01.01
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "a -0.001 0.075 -0.151 0.130 0.003 0.003 683.0 403.0 \n", + "bF 0.244 0.212 -0.144 0.644 0.011 0.008 392.0 392.0 \n", + "bL -0.673 0.209 -1.064 -0.286 0.010 0.008 401.0 381.0 \n", + "sigma 0.417 0.065 0.308 0.535 0.003 0.002 408.0 408.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "a 661.0 644.0 1.00 \n", + "bF 389.0 344.0 1.01 \n", + "bL 398.0 369.0 1.01 \n", + "sigma 364.0 272.0 1.01 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_5:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bF = pm.Normal('bF', 0, 0.5)\n", + " bL = pm.Normal('bL', 0, 0.5)\n", + " \n", + " mu = pm.Deterministic('mu', a + bF * d.F + bL * d.L)\n", + " sigma = pm.Exponential('sigma', 1)\n", + "\n", + " K = pm.Normal('K', mu, sigma, observed=d.K)\n", + " \n", + " m_6_5_trace = pm.sample()\n", + " \n", + "az.summary(m_6_5_trace, var_names=['~mu'])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.11" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuYAAAL6CAYAAAB6jZOzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzde3wb9Z3v//d3bEWSo7FRSmm5hEAJbdNCd5sCJQ1LwNAtW9geQhcKdi7gOAkhXHdhC6c97Nnfsk3LWXYhXELANeRis0Bbtj0tLFkWsmwoaeiFluVA2QK5EGhpiWJLlqXYnvn9IaTYiWzL1m0kvZ6PRx8lmvHMV6P5fuej0Wc+X+O6risAAAAAZWWVuwEAAAAACMwBAAAATyAwBwAAADyAwBwAAADwAAJzAAAAwAMIzAEAAAAPIDAHAAAAPIDAHAAAAPAAAnMAAADAA+rL3QAvi0Qi5W5CyTQ1Namnp6fczfAkjk124XC4bPuupb45Fs7N7Gr9uNA3S6vWz7dCqIVjmGu/5I45JEmWxakwGo4NvIpzMzuOC0qJ8y1/HMP9OBIAAACABxCYAwAAAB5AYA4AgMcZY2RZlowx5W5K2XEsUM14+BMAAI+yLEvGCirg9ykadWTblhKJAbluvxzHKXfzSopjgVrAHXMAADzIsiz5/bbWbxjUvOaITm/eq3nNEa3fOCi/366pB+Y4FqgV3DEHAMCDjBVUR2dCa9b2Z17rjbqZfy9aEJTUV6bWlRbHArWCr5gAAHiMMUYBv09d3Ymsy7u6EwoEfDWRZ82xQC0hMAcAwGOMMYpGHfVG3azLe6OuojGnJoJRjgVqCakseTrtjMI9cLJlM9+TAACS67qybUuNtskakDbaRnbIUjyePVitJhwL1BIiQQAAPMZ1XSWSA2ptCWRd3toSeL8iSfUHoxwL1BLumAMA4EGu06/2NltSKo+6N+qq0TZqbQmovS2gZDJa5haWDscCtYLAHAAAD3IcR8lkVIsWBLWsPaxozJEdStXuTiajNVW7m2OBWkFgDgCAR6UCzj7F40b1dUbxuFuzKRscC9QCAnMAADzOdQlC0zgWqGY8/AkAAAB4AIE5AAAA4AEE5gAAAIAHEJgDAAAAHkBgDgAAAHgAgTkAAADgAQTmAAAAgAcQmAMAAAAeQGAOAEARGWNkWZaMMeVuStlxLICxMfMnAABFYFmWjBVUwO9TNOrIti0lEgNy3f73p5evHRwLIDfcMQcAoMAsy5Lfb2v9hkHNa47o9Oa9mtcc0fqNg/L7bVlW7Vx+ORZA7rhjDgBAgRkrqI7OhNas7c+81ht1M/9etCAoqa9MrSstjgWQO76mAgAwhonmRRtjFPD71NWdyLq8qzuhQMBXE3nWhToW5KajVhCYAwCQhWVZqqufqoaGJg0OhtTQ0KS6uqnjpl4YYxSNOuqNulmX90ZdRWNOTQSZ+R6LyX4GQKXizAYA4AD55EW7rivbttRoZw82G20jO2TJdbMHq9Ukn2NBbjpqEWc1AAAHGJ4Xnb7bm86L7uhMyJjgqH/ruq4SyQG1tgSyLm9tCbxfkaQ2AvPJHot8PgOgUhGYAwAwTCHyol2nX+1tAa1YHszcLW60jVYsD6q9LSDX7R/1b6vNZI4FefqoVVRlAQBgmFzzouvrzKh3vR3HUTIZ1aIFQS1rDysac2SHUrW7k8loTdXunsyxKMRnAFQiAnMAAIYZnhedLTBM50XH42MHhKmAs0/xuFF9nVE87tZsEDnRY1GozwCoNKSyAAAwTKFzxF3XleM4NRuUD5frsSBPH7WKO+YAABwglRdtS0rlM/dGXTXaRq0tAbW3BZRMRgu+T2OMjEmlZhBwluczAMqNwBwAgAOUMkfcsiwZK6iA36do1JFtW+/fDe6vqVz0A6U/g8ULG7RsaVCxqKtQyGhgwNXg4GC5mwcUBYE5AABZlCJHPF2ru6Mzoa7u2AF3he2ae1A0G5+vTus39Gvz5gFt3zmkoUFxfFC1CMwBABhDMVNLhtfqTkvX6pakRQuCkvqKsu9KkO34SOL4oGrx8CcAAGVAre6xcXxQiwjMAQAog1xrdddq4MnxQS0iMAcAoAyG1+rOJl2ru1YrtHB8UIsIzAEAKANqdY+N44NaxMOfAACUCbW6x8bxQa0hMAcAoExKWS+9EnF8UGsIzAEAKKNS1EuvZBwf1BICcwAAPKCY9dKrAccHtYCHPwEAAAAPIDAHAAAAPIDAHAAAAPAAAnMAAADAAwjMAQAAAA8gMAcAAAA8gMAcAAAA8AACcwAAPMYYI8uyZIwpd1OqBscUlYAJhgAA8AjLsmSsoAJ+n6JRR7admn7edfuZfn6SOKaoJNwxBwDAAyzLkt9va/2GQc1rjuj05r2a1xzR+o2D8vttWRaX7InimKLScMccAAAPMFZQHZ0JrVnbn3mtN+pm/r1oQVBSX5laV5k4pqg0fFUEAKDMjDEK+H3q6k5kXd7VnVAg4CM/egI4pqhEBOYAAJSZMUbRqKPeqJt1eW/UVTTmEEROAMcUlYjAHACAMnNdV7ZtqdHOHiQ22kZ2yJLrZg8ycTCOKSoRgTkAAGXmuq4SyQG1tgSyLm9tCbxfSYQgMlccU1SivB7+fOGFF3Jaz+fz6ZBDDtGMGTP4yQgAgCxcp1/tbbakVP5zb9RVo23U2hJQe1tAyWS0zC2sPBxTVJq8AvOFCxdOKNAOBoM699xzdd1112natGn57BoAgKriOI6SyagWLQhqWXtY0ZgjO5SquZ1MRqm5PQkcU1SavALz888/X729vXr66adlWZZmzZqlI444Qq7r6p133tErr7wix3F05plnKplM6pVXXtGjjz6qrVu36pFHHlE4HC7U+wAAoOKlAsU+xeNG9XVG8bhLqkWeOKaoJHkF5jfccIMuuuginXHGGfra176m6dOnj1i+a9cu/f3f/71+/etf65FHHtHUqVN188036//+3/+rjo4O3XDDDXk1HgCAauS6BI+FxjFFJcjr4c9/+Id/0NDQkFavXn1QUC5J06dP1+rVq+U4jm677TYFg0H97d/+rcLhsJ5++ul8dg0AAABUlbwC82effVaf+cxnNGXKlFHXmTJlimbPnq1nn31WktTQ0KBPfOITeuedd/LZNQAAAFBV8grMY7GYIpHIuOvt3btXsVgs8+/GxkaqswAAAADD5JVjPnPmTG3btk0///nPNXv27Kzr/OIXv9BPfvITffzjH8+89tvf/janqiy/+tWvdOedd+rFF1/UwMCAZs6cqcWLF+vP//zPc25jb2+vHnjgAT311FN66623NGXKFB111FGaP3++LrzwQvn9/py3BQAAABRLXoH5kiVL9Jd/+Zdqa2vT/Pnz9YUvfEGHH364jDF6++239eSTT+qxxx6T4zhasmSJpNRd9pdfflmf//znx9z2T37yEy1ZskQ+n0/nnnuubNvWpk2bdP3112v37t26/PLLx21fb2+vLrjgAu3atUuf+cxndPHFF2vfvn169tln9Xd/93f6t3/7Nz3wwAOyLOZZAoBqZYyRMYaH/zAhnDcoh7wC8y9+8Yt69913ddttt+mhhx7SP//zP49Y7rqu6uvrdcMNN+iLX/yiJCkSiejKK6/UnDlzRt3u4OCgvv71r8sYo66uLn3iE5+QJK1cuVIXX3yx7rzzTp1zzjk65phjxmzfww8/rF27dunSSy/VTTfdlHl93759amlp0datW/Wzn/1MJ5988iSPAADAqyzLkrGCCvh9ikYd2bb1/kyP/dSvxqg4b1BOed8qvvTSS/X4449r+fLlOuWUU3TMMcfomGOO0cknn6zly5fr8ccfV1tbW2b96dOna9myZTrxxBNH3ebWrVu1c+dOnXfeeZmgXJJCoZCuuOIKDQ4O6nvf+964bdu1a5ckad68eSNenzJliubOnStJeu+99yb0fgEA3mdZlvx+W+s3DGpec0SnN+/VvOaI1m8clN9v80spsuK8Qbnldcc8bfr06bruuusKsSlJ0rZt2yRJp5122kHL0gF1ep2xHH/88ZKk//zP/9TnPve5zOsDAwP68Y9/rEAgoE9/+tOFaDIAwEOMFVRHZ0Jr1vZnXuuNupl/L1oQlNRX2H2S+lDxjBXUxu6Envr3fap7P0Iq9nkDDFeQwLzQtm/fLkmaMWPGQcuampoUDoe1Y8eOcbdz4YUX6vvf/746Ozv1X//1XzrhhBM0MDCg//zP/1RPT49uu+02fehDHyp08wEAZRbw+9TVHcu6rKs7oWXtYcXjpiABNKkP1aGurk51Vr1aL/HpnC/4NW2apeefH9Dtq+N6482hgp83QDaeDMzTpRVt2866PBQK6be//e242wkEAtqwYYNuvvlm/eAHP8jcZbcsS62traNWkklramrK4WerwqXChMPhgm2rEvfvZRwbb8mtb9YGzs3sYjFXvdHswVNv1FWsz9W08CEF2Vcy6er+b/erqzum3qirRttoQWtA7W2N8vtrqzRwJffN/Z9jIvM5tlwS0LrORi1u69Ubbw6Net7QD/PHMUwpemB+44036u2335YxRuvWrSv27kbYs2ePrrjiCu3Zs0f33XefZs+erWQyqaefflrf/OY3tXnzZn33u99VU1NT1r/v6ekpaXtzqQlfLOFwuKz79zKOTXblHERL3Te9inMzu3A4rFDIqNE2WYPzRtsoNNVo7969ed/5rKufqvUbBg9Kmbnn3n65rrRoQb2Ghkqb+kDfnLjRPsd770v9+9qrG/T1m2NZzxv6Yf5q4Rjm2i+L/rX2l7/8pbZt25ZTTnhaKBSSJEWj0azLY7HYqHfTh/vmN7+pX/ziF1q9erXmzZsn27Z16KGH6qKLLtINN9ygXbt2lfzLAgCg+BLJAbW2BLIua20JvJ9qkl9Qbox5P2UmkXV5V3dCgYCPCfU8brzPsfuhhObM8WlJW2HOG2Ased0xf/XVV2VZlj760Y+Ous5f/dVfjRpgjyZdBnHHjh064YQTRizr6elRJBLJ6aHN//iP/9AhhxwyYnKjtFNPPVWS9PLLL0+obQAA73OdfrW3pW7gDE9NaG0JqL0toGRyYtelbIwxikadMVNmojFH9XXkJHtZTp9j1NXC1oASifzPG2AseQXm559/vk455RStX79+1HXOPvvsCW/35JNP1tq1a7Vlyxade+65I5Y999xzkqRTTjll3O3s27cv878pU6aMWLZnzx5JOuh1AEDlcxxHyWRUixYEtaw9rGjMkR1KPZSZTEYL8lCm67qybWvMlBk7ZCkeJyj3slw+x3DYKNFfmPMGGEteqSxNTU364Ac/WKi2ZMyZM0fTp0/XD3/4Q73yyiuZ12OxmO655x7V19dr/vz5mdf37Nmj119/PRNsp82ePVuDg4O65557Rry+b9++zGuf/exnC95+AED5OY6joaE+xeM9qq+LKR7v0dBQX8GCK9d1S5Iyg+LK6XPsH9DQ0FCJW4ZalNcd8z/+4z/Wa6+9Vqi2ZNTX1+uWW25Re3u7WlpadN555ykUCmnTpk166623dO211+rYY4/NrN/V1aW77rpLV155pa666qrM69dff71+8YtfaM2aNXruuecyD39u2bJFu3bt0ic/+UldeOGFBW8/AMA7illXvBQpMyg+Pkd4RV6B+cqVK9XS0qLOzs4Rs3sWwqmnnqru7m6tXr1aTzzxhAYGBjRz5kxdc801+tKXvpTTNmbNmqXvfe97Wrt2rbZu3aquri7V1dXp6KOP1lVXXaUlS5bI7/cXtN0AgNpRipQZFB+fI7zCuHncRviXf/kXbdu2TY899pg++tGP6owzztARRxwxarB7/vnnT7qh5ZBL6Z7TzihcZ92yuXy1X2uhVNFkcWyyK2dJNj6PFM7N7Mp1XLwy8yd9Mz8T/Rzph/mrhWOYa7/M6475jTfemDl5f/3rX+vXv/511rJQruvKGFNxgTkAALkqd0COwuBzRDnlncpCfVYAAAAgf3kF5sMftAQAAAAweeVLagYAAACQkdcd8+FeeeUVvfTSS4pEIpo5c6bOOussSfsn+QmFQoXaFQAAAFB18r5j/vrrr+uiiy7SBRdcoL/5m7/R7bffrqeeeiqz/Dvf+Y5OPvlkPfvss/nuCgAAAKhaeQXmu3fvVmtrq371q1/prLPO0g033HDQk8znnnuu6uvrtWnTprwaCgAAAFSzvFJZ7rrrLvX09Oib3/xmphTirbfeOmKdpqYmzZw5Uy+++GI+uwIAAACqWl53zLds2aJZs2aNW5/8iCOO0LvvvpvPrgAAAICqlldgvnfvXh199NHjrmeMUTKZzGdXAAAAQFXLKzAPh8N66623xl3v9ddf14c+9KF8dgUAAABUtbwC85NPPlkvv/yyfvazn426zjPPPKM333xTn/vc5/LZFQAAAFDV8grMly9frvr6eq1YsUKPPvqo9uzZk1nW19en73//+7rpppsUDAbV1taWd2MBAACAapVXYP7Rj35U//AP/6CBgQHdfPPNmjt3rowx+v73v6+TTjpJN954oxKJhG699dacctEBAJgoY4wsy5IxptxNAQqO87u25D3z5xe+8AV98pOf1Lp16/T8889r9+7dGhoa0oc//GHNmTNHbW1tmjFjRiHaCgBAhmVZMlZQAb9P0agj27aUSAyUu1lAQYx2frtuvxzHKXfzUCR5B+aSdNRRR+lrX/taITYFAMC4LMuS32+rozOhru6YeqOuGm2j1paAli7xybIsghdUrLHO7/Y2W8lklPO7ShUkMAcAoJSMFVRHZ0Jr1vZnXuuNulqztl/GSAtbg5L6ytdAIA9jnd+StGgB53e1Kkhgvm/fPj311FP62c9+lplI6LDDDtPs2bP1+c9/XlOmTCnEbgAAkDFGAb9PXd2xrMs3diW0dElY8biR67olbt3kGGNkTKq9ldJmr6vUYzre+d3VndCy9so6v5G7vAPz559/XjfeeKPefffdg06Q7u5uffCDH9SqVas0d+7cfHcFAICMMYpGHfVGswclvVFX0Zij+jrvBy7kERdepR/Tajq/MXF5Bea//OUvtWzZMg0MDOiP/uiPdO655+rII4+U67p655139KMf/UgvvviiLr/8cm3cuFF/9Ed/VKh2AwBqlOu6sm1LjbbJGrw02kZ2yFI87u2ghTziwquGY1ot5zcmJ6/A/I477tDg4KD+9//+37r44osPWr5w4UI9/PDD+pu/+RutXr1a3/72t/PZHQAAcl1XieSAWlsCI3Jw0xa0Bt6/Q+rtwIU84sKrhmM63vnd2lIZ5zcmJ6865r/85S91wgknZA3K077yla/oxBNP1IsvvpjPrgAANSprHWc3ofa2gFYsD6rRTr3eaButWB5Ue1tQrntwQFMu2dq/P484kfVvuroTCgR81K6egFIf0/TnOtqyuro61dXVTWp/rtM/xvkd8NT5jcLK6465ZVk5TRx09NFH680338xnVwCAGpMtVziZHJSxXE3x+RSPO7pscUDLlgYVizoKhVK5xH6/UTxe/nSFsXKdJZFHXGClys0+8HMdGHBVVzc187nW1QdlVC+fzygac2XbRsnEoBwnnnMajeM4SiajWrQgqGXtYUVjjuz3z+9KSMfB5OV1x/xTn/qUXnvttXHXe+211/SpT30qn10BAGpIOld4/YZBzWuO6PTmvZrXHNG6DQNy3XotuqxHc+ft1dlf2Kv1G/o1dapRIhHV0JA30hRGa//6jYPy+20ZYzJ5xNmk84gJynM3PDc7m0Ic02yf6+ln7v9cg0FbrluvzgcTqeVnRjTvzNR56/fbo95hz8ZxHA0N9Ske71F9XUzxeI+GhvoIyqtcXoH5Nddco+3bt+uOO+7IeqK4rqvVq1dr+/btuuaaa/LZFQCghgzPFU7fAU3nCj+4LqGlSxoyr/3THf26/9sJSYEytniksdrf0ZlqazqPOBvyiCdueG52NoU4puN9rr1R6cF1Cd17X/blxgQn9b4cx+FcqBF5pbK88cYbmj9/vu6991794Ac/0J/+6Z/qyCOPlCTt3r1bmzZt0ttvv60LL7xQb7755kHpLOeff34+uwcAVKHx6jh3P5TQv/9bWOGwUSSSClaG13Yut1zrUCcSUbW3hTKvjawgElAyGS1ls6tCKjfbllT4Y5rL57p8aVCPP5EcdTn1xzGevALzG2+8MVO8f/fu3XrggQcyDzkMP+keffRRPfroo5l/u64rYwyBOQDgILnkCkf2ODr0A5YikaHMa+n84XLLPdfZJY+4wIqZm53L59rb68rvz34O9kZdxWKO6nhuAGPIKzBfuXIlT4wDAAoqlzrO4WmW/vCeM+I1r9R2nkgd6lSA1qd43Ki+zgx7DZOVCr4Lf0xz+VwbG42Syez7arSNQh45R+FdeQXmV111VaHaAQCApPHrOLdcEtDzzw9k0lgkb+VkT6YOdaVNG18JCn1Mc/lce3pdffHP/Lr3PuqPY3LyCswBACiGsXKFFy8KaOnyXknybE52MXOdUT7jfa6WJV26OPXwafdDfO6YOOPy1W1UkUhk3HVOO6NwOYBbNudVJCcv4XA4p/dbizg22YXD4bLtm88jpdrPzdSkPEEFAr5MrnAyOSBjpClTfCPyh123P5M/7JXjkq39B7a1GOibxXXg59poW+rv31+fvq4uKGNSdcxjMVch2yiZGJDjFPdzr2Re6bPFlGu/LPod86eeekqxWOoJZh72BADkaqxc4cFB7+dkFyvXGeV14Ofq8zUpFusbtrxPxhgNDVmqr5fifZQ6RO6KHpjfdttt2r59uyQCcwDAxGXLFR4tfzhdkCBdMcwLyB+vTmN9runa4xTIwEQVPTA/8cQTdeihhxZ7NwCAGjZ8mvQ9exyFQk0lSRsBDjT8XIxGHdl2aVKYUB2KHpjfeuutxd4FAKCGpadJ7+hMqKs7dsADdzY1wVEynIvIF1VZAAAVbfg06WnpadAladGCoKS+Uf4aKBzOReSrfGVAAADI0/5p0hNZl3d1JxQI+Mj1RdFxLqIQCMwBABUrl2nSozEewkPxcS6iECaUyjJr1qxJ78gYo//3//7fpP8eAIAD5TJNus006CgBzkUUwoQC88MPP7xY7QAAYMJymSadadBRCpyLKIQJBeZPP/10sdoBAMCkjDdNOtOgo1Q4F5EvqrIAACqa4zhKJqNatCCoZe1hxfpchaYaJRIDlKdDSR14LkZjjuyQxbmInBGYAwAq3vBp0qeFD9HevXtJGUBZDD8X6+uM4nFmfkXuChaYx2Ix7dq1S319faOegCeffHKhdgcAwEHS1x8CIZSb6xKQY+LyDsxfe+01feMb39C2bdvGPQFfeeWVfHcHAAAAVKW8AvPt27erpaVFsVhMs2fP1u9//3u99dZb+uIXv6i33npLL7/8soaGhtTc3KzGxsZCtRkAAACoOnkF5mvWrFFfX59WrVql+fPn66abbtJbb72l2267TZK0Y8cOfe1rX9NvfvMbPfLIIwVpMAAAAFCN8pr5c+vWrTruuOM0f/78rMtnzJihe+65R5FIRHfccUc+uwIAAACqWl6B+Xvvvafjjjsu8+/6+tQN+GQymXmtsbFRp5xyijZv3pzPrgAAAICqlldgfsghh4wIwpuamiRJu3fvPmjd9957L59dAQAAAFUtrxzzo446akQQPmvWLLmuq8cff1xXXnmlJGnPnj3atm2bDj/88PxaWgNOO6MwEw9s2ZzX962Cq9b3BQAAUEh5BeZz587VPffco127dmn69Ok688wzFQ6Hdffdd+s3v/mNPvzhD2vTpk2KRqNqbW0tVJsBAACAqpNXYP4//sf/0L59+xSJRDR9+nQ1NDToH//xH3XttdfqX//1XzPrzZ07VytWrMi7sQAAAEC1yiswP/roo/VXf/VXI16bM2eOnnnmGf30pz9Vb2+vjjnmGJ1wwgl5NRIAAACodnnP/JlNQ0ODTj/99GJsGgAAAKhKeT1Nt2/fPr399tuKxWKjrhOLxfT2229r3759+ewKAAAAqGp5BeYPPPCAzjrrLL366qujrvPqq6/qrLPO0vr16/PZFQCgShljZFmWjDHlbgpQ0+iL5ZdXYP7UU0/pqKOO0kknnTTqOieddJKOPPJIPfXUU/nsCgBQZSzLUl39VDU0NGlwMKSGhibV1U2VZVEaFSgl+qJ35HXEd+7cOWLmz9HMnDlTO3fuzGdXAIAqYlmW/H5b6zcMal5zRKc379W85ojWbxyU328TEAAlQl/0lrwe/uzv71dDQ8O46wWDwTHz0AEAtcVYQXV0JrRmbX/mtd6om/n3ogVBSX1lah1QO+iL3pLX16DDDz9c//Vf/zXuei+//LI++MEP5rMrAECVMMYo4PepqzuRdXlXd0KBgI88V6DI6Ivek1dgPnfuXO3atUsbNmwYdZ2uri7t3LlTp512Wj67AgBUCWOMolFHvVE36/LeqKtozCEYAIqMvug9eaWyLF26VD/4wQ/0jW98Q88//7y+8pWvaPr06TLGaOfOnXr44Yf1zDPPKBQKaenSpRPe/q9+9SvdeeedevHFFzUwMKCZM2dq8eLF+vM///MJbScWi6mzs1ObNm3Srl275PP5NH36dJ111lm68sorJ9wuAMDkua4r27bUaJusAUGjbWSHLMXj2YMFAIVBX/SevALzww8/XGvWrNHVV1+tp59+Ws8888yI5a7rKhwO6/bbb9dRRx01oW3/5Cc/0ZIlS+Tz+XTuuefKtm1t2rRJ119/vXbv3q3LL788p+28/fbbWrx4sXbt2qXPfe5zmjdvnvbt26edO3fqySefJDAHgFEYY2SMkeu6ct3CXZhd11UiOaDWlsCIvNa01paAEomBgu4TwMHoi96T98yfJ598sp588kk9/PDD2rp1q9555x1JqaB9zpw5uvDCC9XU1DShbQ4ODurrX/+6jDHq6urSJz7xCUnSypUrdfHFF+vOO+/UOeeco2OOOWbM7QwNDenqq6/Wu+++qwcffFCnnnrqQfsBAIxkWZaMFVTA71M06si2rfcvzv1yHKcg+3CdfrW32ZJSeay9UVeNtlFrS0DtbQElk9GC7AfA2EbriwtaAlrSFtTAAMU7SimvwPynP/2pTjrpJDU2Nmrp0qVjpqusWbNGK1asyGm7W7du1c6dO6sQaMsAACAASURBVHXBBRdkgnJJCoVCuuKKK3Tdddfpe9/7nv7yL/9yzO08+eSTeumll3TFFVccFJRLUn193t9LAKCqpEundXQm1NUdOyBgtpVMRgsSnDuOo2QyqkULglrWHlY05sgOpb4AFGofAMbnOI4GBvp02eKpWrokqD+85ygctrRt24C++1hCX54/VY5DnyyVvCLTyy+/XBs2bNCsWbPGXO/OO+/UPffck3Ngvm3bNknK+sDo3LlzR6wzlscff1ySdM455+idd97R5s2bFY1GNX36dJ1++umaOnVqTu0BgFpRytJpqQt9n+Jxo/o6o3i8sCkzAHLjyq8H1iX0z48kdOgHLP3hPUeRSKovRiIuJRNLKK/A3HEcLV26VF1dXZoxY0bWde644w6tWbNGxx57bM7b3b59uyRl3WZTU5PC4bB27Ngx7nbSpRx/9rOfadWqVdq3b19m2bRp03T77bfrs5/9bM7tAoBqtr90Wvafrru6E1rWHlY8bgqec05ADpTH8H7fG3UViQyNWF6sfo/s8grM16xZo2XLlumyyy7TQw89pA996EMjlv/jP/6j7rvvPn3kIx/RunXrct5uejIi27azLg+FQvrtb3877nbee+89SdItt9yitrY2LViwQFOmTNGPfvQjfetb39LKlSv1+OOP67DDDsv6901NTTnMePXeuO0otXA4XNK/G19hjlHx2uftfeNgufXN2lDoc3PPnrFLp8X6XE0LH1LQfRYDfbY8arVvVvr55oV+X+nHsFDyCsw/+9nP6rbbbtM111yjtrY2bdy4MXNgb731VnV2duq4447TunXrdOihhxakwROR/mZ3xhln6Prrr8+8vnDhQv3ud7/T/fffr+985zu64oorsv59T09PSdpZaJFIZMJ/Ew6HJ/V3pVSu9lXCsSmHcg6ildo3C63Q56YxRqFQ05il00JTjfbu3evpO2e13mfpm6VV6eebF/p9pR/DXOTaL/P+Wnv22Wfr7/7u7/TGG29o6dKl6uvr06pVq9TZ2anjjz9eGzZsmHBQHgqFJEnRaPan8mOx2Kh307Ntp7m5+aBlZ555piTlNHMpANSC4aXTsqF0GlB96PfeUpCyJBdccIF6enr0rW99S+ecc45+//vf6/jjj9e6des0bdq0CW8vXQZxx44dOuGEE0Ys6+npUSQS0ac//elxt3PssccqEomosbHxoGXp15LJ5ITbBwDVijKGQO2h33tHwRLBLrvsMi1fvly///3v9fGPf1wbNmyYVFAupWqjS9KWLVsOWvbcc89Jkk455ZRxt5Mukfib3/zmoGXp14488shJtREAqtH+Mob1+o+nw3r2mUP0H0+HtWhBPWUMgSpFv/eOCd0xX7Ro0fgbfL82+NVXXz3idWNMzg+AzpkzR9OnT9cPf/hDLVq0KFOOMRaL6Z577lF9fb3mz5+fWX/Pnj2KRCIKh8MjvgxccMEF6ujo0MaNG/XlL38583BqLBbT2rVrJUl/9md/llObAKBWUMYQqD30e2+YUGCeS+1wSXr11VcPes0Yk/N+6uvrdcstt6i9vV0tLS0677zzFAqFtGnTJr311lu69tprR5Rf7Orq0l133aUrr7xSV111Veb16dOn66//+q91yy236Etf+pI+//nPa8qUKdq8ebN2796tr3zlK5ozZ07O7QKAWkIZQ6D20O/La0KB+b//+78Xqx0HOfXUU9Xd3a3Vq1friSee0MDAgGbOnKlrrrlGX/rSl3LezsKFC3XkkUfq29/+tn70ox9paGhIM2fO1OWXX66LLrqoiO8AAAAAyJ1x+Vo0qlxK95x2hvfyrrZsnvijA8UsVVSoYzSZ91UItVDGaTLKWZKNzyOFczO7Wj8u9M3SqvXzrRBq4RiWrFwiAAAAgPwRmAMAAAAeQGAOAJg0Y4wsy5rQA/4AJof+Vv0KMsEQAKC2WJYlYwUV8PsUjTqybev92QH7qXkMFBj9rXZwxxwAMCGWZcnvt7V+w6DmNUd0evNezWuOaP3GQfn9tiyLSwtQKPS32sIdcwDAhBgrqI7OhNas7c+81ht1M/9etCAoqa9MrQOqC/2ttvA1CwCQM2OMAn6furoTWZd3dScUCPgKmgNLXi1qVTn62/B90+9Kj8AcAJAzY4yiUUe90exTYPRGXUVjTkEu5pZlqa5+qhoamjQ4GFJDQ5Pq6qby0z1qRin7Wxr9rrw4ygCAnLmuK9u21GhnDwQabSM7ZOU9pTd5tUDp+lsa/a78OMIAgJy5rqtEckCtLYGsy1tbAu9Xi8gvUBieV5u+W5jOq+3oTMiYYF7bBypBqfpbGv2u/AjMAQAT4jr9am8LaMXyYOZOXqNttGJ5UO1tAblu/zhbGFs582oBryl2f0vLtd/V1dXR94qIqiwAgAlxHEfJZFSLFgS1rD2saMyRHUrVVU4mo3nXVc4lrzYWczVlylQNDcWp44yqVuz+lpZrv7OsqWpooI56sXDHHAAwYY7jaGioT/F4j+rrYorHezQ01FeQi3QuebXBoNE/PzJA3itqQjH7W1qu/e6883vIOy8ijiYAYNJc15XjOAXLcU1vc6y82pZLAvrx8wP6pzvIe0VtKUZ/G77tXPpdJOKSd15EpLKgYpx2Rrl+Lnsv66tbNhfue2353lt2hXxvqB3GGBlj5Lpu3oFDKq/WlpTKbe2Numq0jVouCaj1koAWt/Vmli1rDyseN0UJVoBKUYj+l2u/S6P/FR6BOQAgL5ZlyVhBBfw+RaOObDv//NN0Xu3ihQ1a1h7U73/vKDzN0o+fH9Ditl698eaQpP11nOvrCAxQmwrZ/w7MZ4/FHIVClp7dMrLfpdH/Co/AHAAwaem6xx2dCXV1xzJ32FpbAmpvs/N6OC31k32fpCZ99aaYtu8cUiQy8uKfruMcjxMUoPYUo/+l1u9TPG5UX29JsvW/bo5lfSiU/ld4/F4NAJi0Ytc9Tue9nnqq76CgXCp8HWegkhSz/7muq6GhoZLWUQeBOQBgkkpVb7xUdZyBSkL/q06ksgAAJiWXuseFyD8tVR1noJLQ/6oTgTkAYFKG1z0udv7piLzXOqN4PP/KL0Alo/9VJ1JZAKBCGGNSFRiKOB32RPYxXt3jYuSfFrOOM1BJqqX/pceayYxrpRgTS4075gDgcaOVQyvFPsYruTZa3eNUVYiAksloQdsJYL9K7n/Dx5w9exyFQk05l3ksRolWryAwBwAPG6sc2tIlPlmWlfeFKJ+Sa+SfAuVTqf0vnzGnmCVavYDAHAA8bHg5tLR0OTRjpIWtQUl9RduHJC1aMPY+yD8FyqcS+18+Y06+45XXkWMOAB41Xjm0jV35l0MrZMk18r+B8qmU/pfPmFOqEpHlRGAOAB6Vazm0fAPzYu8DANLyGXNqYbwiMAcAjxpeDi2bdDm0fO6QlWIfAJCWz5hTC+MVgTkAeNR45dAWtOZfDq0cJdcA1K58xpxaGK94+BMAPMAYI2NSM/QNv6iMXQ4tqESiN+99j7aPJW0BLWwNKJmM5b0PANVttDEsm3zKPBa6RORE2l0KxvVCKzwqEomMu85pZ3ivJM+WzRP/ISQcDuf0fifDi8eoECZznEfjtWOUy3sLh8MlaEl2xTpXyyGXerypCTSCCgR8I8qhNTZOKdixGL6PeNyRz2fkm2IU7a28GsHFHM8qAX2ztGr9fJtsTfHhY06sz1VoqplYHfMsY+JExqhS10LPtV+SygIAZZKux7t+w6DmNUd0evNezWuOaP3GQfn9tiwrNUQ7jqOhoT7F4z2qr4spHu/R0FBhy4Gl95FIRBUIGD2wLqF5Z47eJgDIdQzLZvi4Ni1sZca1XILi0cbEiQTlk213sZHKAgBlMtF6vCX5qdUEqrpGMIDCKURN8fSYNpmxbbJjopdroXPrAwBKyBgjy7JkWZYCfp+2bh1QOHxwhYGJ1uNNb9crNc0BVLdKHS/S7c537B0+luc79g7HHXMAKIHh+YzxuCPfFCMZ6dZvhnRI2NLzzw/o9tVxvfHmkKT99Xjr68yYd4QKmSeZa43g8doEoPpV4niRCqIbJEnfXBXStGkTH3szY27Ap2ivq8ZGo3i/q4Zg7jnyYyEwr0KTe5DwvYK3o9p57YFNeFc6n7GjM6Etz8V1z52N6nwgoe6H9lcUaLkkoHWdjVrc1qs33hzK1OONx8e+oKW329UdO6A6ga1kMjqhC8TwGsHZLra5tglA9au08WL4ONzVHZ3U2DtyG7ER21jQEtDj/zqkL8+f+Ng7Yh/5vlEAwNiG5zMua29Q10MJ3Xtff+Zi1ht1de99/ep6KKFrr07dzcmlHm9/v5vZ7vBtrVnbr47OhIwJTqidtVAjGEBhVNp4MXwcnuzYO9Y2NnYn9OEP1U1q7B2OwBwAimh4HmY4bHTqqT51P5Q9J7P7oYQ+N8en664Jqr0tINftz7peerv19Sp4fmeqRnBAK5YHM7PrNdpGK5aP3yYA1W/48yyVMl6Mlw+fy9ibyzbmzPHpR48n88qtJ5UFAIpoeB7m8TPrtGfP2DmZ/f2uLr7IN+5PoantugXP73QcR8lkVIsWBLWsPTyiRnA+P88CqGyjPc8yMNCnRQv8nh4vcsmHH2/szWUbkT2O/H6TV249d8wBoIiG52H+4T1H06ZZmTtLB2q0jUIho8HB8evxprZrxtyWbVuTujDkWyMYQHUZq+63zzdVrtvv6fFi+DicTS5jby7bCE+zlEy6skOTG3slAnMAKKrheZiRiKutWwfUckn+OZmu6yq5zx0zvzOZcPLK73RdV46T3zYAVL7RcquHP8/i5fGiEPnw422j5ZKAnn9+QOd+0Z9Xbj2pLACqjjEmlf9Yigl5cuEm1N4WkiTd15GqyiJpRFWWVCWVgJLJaE6bNMbIP8Wo9ZKAXFcHVXhpvSQgv99oaMg7pcoAVJ79udWxrMu7uhNa1h5WPO7tsSaVD29LSrV5tLF3zOvHsLF8+Db2V2VJTmgcz8a4Xj6KZRaJRMZdh5J5qEZbNo//Y1o4HC5BS7IbrW8WsqZ3IRxUu9xn5JtiFO/b/9+xqKNQaOLttCxLQ0O2Frf16tqrGzRnjk+RPY7C0yz9+PkB3bE6rgc7bdXXxTz1k3IphMPhnMbvauXFvlnNqv18syxLg4Mhnd68d9R1nn3mkLzGmlIdw9RDq+/XIB+WD59+2HO068fwZcPH8lg0lVIY73cVDIxdxzzXfskdcwBVYbT6spOt6V2s9ixpC2hha0DJZEwDfY7q6ozi8Ynf2U/nmP/hD46uvi6qcNjo0A9Y+sN7jiIR13M1hAFUpkqrVz6W1DWgT/G4Uf2wsXes68fSJbZcV6OO5YlETHKdSY3j2ZBjDqAq5JID6YX2/NMd/br/2wlJgbxyMl3X1eCgMvmOkYir//7NkCKR1La8VkMYQGWqtHrluThw7B3r+rFjpzPmWO66/oLm1hOYA6h449WXnWxNb6+3Jxg0FVFDGEBlq5R65ZMx1ngdDhtNP6qupNcWUlkAVLxc6svmU1fWy+2h5jiAYqvm+Q3GGq8P/YCl98aZe6LQ1xbumAOoeLnUl82nrqyX20PNcQClUK1jzVjj9R/ec/SBceaeKPS1hcAcQMXzWg5kOdrj5RrCAKpHtY01Y43XkYirXW8NlXQsJ5UFQFXItUZtrbYHAJDdWOP1jKMttbcFsi4rxlhOHfMxUMcctaqi65iPUqO2bHXMi9ieaq+fPFm1fly82DerWa2fb4XghWM4bo3zPMdy6pgDqDmj1ailPQCAsYw/XpdmLCcwB1B1sk6lXEZeaw8AILuxxutSjOU8/AkAAAB4AIE5AAAA4AEE5gAAAIAHUJUFAAAA8ADumAMAAAAeQGAOAAAAeACBOQAAAOABBOYAAACABxCYAwAAAB5AYA4AAAB4AIE5AAAA4AEE5gAAAIAHEJgDAAAAHkBgDgAAAHgAgTkAAADgAQTmAAAAgAcQmAMAAAAeQGAOAAAAeACBOQAAAOABBOYAAACABxCYAwAAAB5AYA4AAAB4QH25G+BlkUik3E0omaamJvX09JS7GZ7EsckuHA6Xbd+11DfHwrmZXa0fF/pmadX6+VYItXAMc+2X3DGHJMmyOBVGw7GBV3FuZsdxQSlxvuWPY7gfRwIAAADwAAJzAAAAwAMIzAEAAAAPIDAHMIIxRpZlyRhT7qYAwEEYo1DNqMoCQFLq4RtjBRXw+xSNOrJtS4nEgFy3X47jlLt5AGocYxRqAXfMAciyLPn9ttZvGNS85ohOb96rec0Rrd84KL/f5ol5AGXFGIVawR1zADJWUB2dCa1Z2595rTfqZv69aEFQUl+ZWgeg1jFGoVbwFRMokkrJgzTGKOD3qas7kXV5V3dCgYDP8+8DQHUq1BhVKWMyaht3zIECq7Q8SGOMolFHvVE36/LeqKtozFF9nZHrZl8HwOhOO6Mw/X7L5tq8l5bvGFVpYzJqW232cqBIKjEP0nVd2balRjv7XaRG28gOWQTlAMoinzGqEsdk1DbOSKCAhudBpu/upPMgOzoTMiZY5hYezHVdJZIDam0JZF3e2hJ4/+4SgTmA0stnjKrEMRm1jcAcKJBi5GqXKifSdfrV3hbQiuXBzF2pRttoxfKg2tsCct3+cbYAAMUzmTGK52dQicgxR0UxxsiYVB6h1+7gFjJXu9Q5kY7jKJmMatGCoJa1hxWNObJDqX0mk1HyMAGUTXo8tCyjhQsCWr40qGjUVcg2SvSPPkZZlsXzM6g43DFHRbAsS3X1U9XQ0KTBwZAaGppUVzfVU/mBhcrVLldOpOM4GhrqUzzeo/q6mOLxHg0N9RGUAyibA8fDz/1JRF+av1dPbkrKGXKz3qxIXy8CAZvnZ1BxvBPVAKOolId3CpWrXe6cSNd15TgOFysAZZdtPNy5y9Etq+JZx8MDrxdbnhtQyyU8P4PK4Y2IBhhDuQPVicg3V5ucSABImcx4eOD14p/uiKv1koAuX8bzM6gM5JjD0/YPzLGsy7u6E1rWHlY87o0cwXxztakpDgApEx0Ps10v3nhzSIvbenXt1Q16+t/C6u93FQoZnp+BZ3HHHJ6W68DspTvI+eRqU1McAFImOh6Odr14480hXX1dVJ//s4isOleJRJTnZ+BZBObwtEoOVCeTq01NcQBImeh4ON71YmhQaghaBOTwNAJzeFotBqrUFAeAlImMh7V4vUD1IcccnpcamG1JqZzy3qirRtuotSWg9raAkslomVtYWNQUB4CUiY6HtXa9QPUhMIfn1WKgmnpPfYrHjerrjOJx702oBAClMJHxsBavF6guBObwtOEzfTpO7QWqE5nh1MuzogKAlN84levflOrGRvq9AIVEYA5PKvWU9JWMYwXA68oxThXrJsWB72VgwFVd3VTGXBQED3/Ccyplpk8v4FgB8LpqGqeyvZfTz6zM9wJv4o45PGf4zG1p6Zk+JWnRgqCkvjK1zls4VgC8rprGqWp6L/AmvtrBU5iSPnccKwBeV03jVDW9F3gXgTk8pRJn+iwXjhUAr6umcaqa3gu8i8AcnuKFmT6NMamHezw+uHrhWAHAWCpxnBrtGlCJ7wWVh8AcnlLOmdssy1Jd/VQ1NDRpcDCkhoYm1dVNLfh+CoVZ7gB4XSWNU6NdA9IPdFbSe0Hl4uFPeE45Zm5LP2nf0ZlQV3dsxD6XLvHJsixPlsFiljsAXlcJ49RY14D2NjszOVElvBdUNuPy1W5UkUik3E0omXA47Kn3m/oZMahAwDdi5rZi1Ymtq5+q9RsGRzxpn3bF5UEtbK3X0JA3n7Qv9bFKC4fDRdv2eLx0rpaT1/qtV3jtuJx2RmH64ZbNuf3I7cW+Wa5xKldjXQNWLA9q0YL914AD30ujbam/3zvvpRJ5rc8WQ679klQWeJLjOBoa6lM83qP6upji8R4NDfUVZdAb70n7jV3eftK+lMcKACbDy+PURKutHPhefD7jmfeCykcqCzytFNPL5/qkfX2d8XTuYCmOFQDkw4vj1GSvAV58L6h83DFHzeNJewCoXVwD4CUE5qh54z1pv6CVJ+0BoFpRbQVeQioLoPGqBgSVSPSWuYUAgGKh2gq8gsAcUOphnmQyqkULglrWHh5RNcDvN4rHeagHAKrVWNeAdKlEoBQIzIH3pQbePsXjRvV1RvF4+sGeKeVuGgCgyEa/BgClQ2AOHKCSnrQ3xsgYU1FtBoCJKuVYx3iKciIwByqQZVkyVlABv0/RqCPb9tZkHQBQCIx1qDVUZQEqTHrq6PUbBjWvOaLTm/dqXnNE6zcOyu+3ZVl0awCVj7EOtYg75kCFMVZQHZ2JEVNH90bdzL8XLQhK6itT6wCgMBjrUIsIzIEKsn/q6FjW5V3dCS1rDyse9/YspUA2p51RmNSEl39ZkM2gjBjrUKv4HQioILlOHW1M9hnsAKASMNahVhGYAxWEqaMB1ALGOtQqAnOggjB1NIBawFiHWkWOOVBhmDoaQC1grEMtIjAHKgxTRwOoBYx1qEUE5kAFYupoALWAsQ61hsAcqGBMHQ2gFjDWoVbw8CcAAADgAQTmAAAAgAcQmAMAAAAeQGAOAAAAeACBOQAAAOABBOYAAACABxCYA2Mwxoz4fwBAbTDGyLIsxn+UFHXMgSwsy5Kxggr4fdqzx1Eo1KREYkCu289scwBQxYaP/9GoI9u2GP9RMtwxBw5gWZb8flvrNwxqXnNEf3JmRPOaI1q/cVB+vy3LotsAQDU6cPw/vXkv4z9KijvmwAGMFVRHZ0Jr1vZnXuuNupl/L1oQlNRXptYBAIqF8R/lVvFf/e6//3597GMf08c+9jG9+OKLWdeJxWJatWqVzjzzTJ1wwgk688wztWrVKsVisRK3Fl5njFHA71NXdyLr8q7uhAIBHzmHAFBlGP/hBRUdmL/++utavXq1GhoaRl0nHo9rwYIFevDBB3Xsscfq0ksv1XHHHacHH3xQCxYsUDweL2GLkebVh2qMMYpGHfVG3azLe6OuojHHc+0GAOSn0OO/V69z8LaKDcyHhob01a9+VR//+Md19tlnj7peR0eHXnnlFbW3t6uzs1PXX3+9Ojo6tHLlSr3yyivq6OgoYathWZbq6qeqoaFJg4MhNTQ0qa5uqmfy9lzXlW1barSzD6SNtpEdsuS62QduAEBlKtT47/XrHLytYs+S+++/X6+++qq+8Y1vqK6uLus6ruvq0UcfVUNDg1auXDli2fLly9XU1KTvfOc7BFklUgkP1biuq0RyQK0tgazLW1sC7z+dzzkDANWkEON/JVzn4G0VeYa89tpruuuuu7RixQodf/zxo663fft2vfvuu5o9e/ZB6S5+v18nnXSSfve732nHjh3FbjI08qGa9E+F6YdqOjoTMiZY5hamuE6/2tsCWrE8mLlz0mgbrVgeVHtbQK7bP84WAACVKN/xv1Kuc/CuiqvKMjg4qBtvvFHHHXecli1bNua66YD7mGOOybp8xowZmfVGWweFsf+hmuwP3HZ1J7SsPax43EzobrQxRsak/qZQd7Edx1EyGdWiBUEtaw8r1ucqNNUokRhQMhmlji0AVKkDx/9ozJEdsnIa/yvpOgfvqrjA/N5779Wvf/1rPfLII/L5fGOuG41GJUmhUCjr8vTr6fUO1NTUVFM/O4XD4aJuf8+esR+qifW5mhY+JOft9fe7qq+XolFXtm00OCgFg4V/yGbalNQ2p0yZImlKwbePiau1vjmWYvfb0nqvYFvy1nEpzPvy1nvKrtr65gempVJlxxv/059NpV7nvKASzu9SqKjA/NVXX9W9996rtrY2ffKTnyz6/np6eoq+D68Ih8OKRCJF274xRqFQkxptk3XQarSNQlON9u7dm9ODNX6/rW8/kFBXd0K9UVeNtlFrS0DtbYGC39Uu9rGpVOUcRGupb46Fc3N01Xhccn1P9M3SSvfDSr7OlVstjGW59suK+lr71a9+VdOnT9dVV12V0/q2bUvSqPXK06+n10PxTPahmmzlpsjhAwB4TSGLB3Cdq10Vd8dckk488cSsy7/yla9Iku6++26dffbZmRzy7du3Z10/nYOeXg/FlXqoJvUlaLQ7AGmWZclYQQX8PkWjjmw7leMnJYqSwwcAQL6MkmpvC8lI2jjOdW7UbRQpVx2VoSiB+VlnnaVzzjlHN9xww5jr3XbbbXriiSf01FNP5bTdv/iLv8j6+k9/+lNt375dzc3NmjZtmo488khJqYc+DzvsMP385z9XPB4fUZklmUzqpz/9qQ477LCKCswr+SGQXB+qSf+E19GZUFd3bMTAtnRJKKcJIOrrGLAAAKVjWZZ8vqn67mMJnXBCvf7938KKRBwd+gFLA4OuBgb6cko/yXWio3Jc5yo5BqkURQnMd+/erT179oy7XiQS0e7du3Pe7t///d9nff3GG2/U9u3btXz5cv3xH/9x5nVjjC688ELdfffduvvuu0d8UVi7dq16enq0cuXKipiVa7Q7yK7bX1F5Zqm29ikeN6qvM4rHD+7cw3/CS0v/hBcISIsWBsfM4bNDluJxBgwAQOkceO0Kh40O/YClP7zn6OKLAlq0wC9pcNztDJ/oyCvXuWqJQSpBWXPM+/v7VV9f3Gya9vZ2zZo1Sx0dHWpra9Ntt92mpUuX6u6779asWbPU3t5e1P0XQjVOWOC6rhzHyZpTnvoJL5H1777dmdDAPpcJgAAAnpHt2hWJuPrv3wwpEnHV1Z1QIODL6Uag1ya6q8YYxMvKkmPuOI7efPNN/eQnP9ERRxxR1H01NDRow4YNuuuuu/Tkk09q27ZtOvTQQ3XppZfqyiuvPGjiIS8a6w6yJC1aEJTUV6bWFdaBP+ENv+MQibjqjboaGHDV3pYasMbLVQcAoNiypZ8ceP2aSPrJRJ7JKrZaikG8wLgF+so1a9aszH+7rpvzt8IrrrhCV199dSGaUHBeKN1jjFFDQ5PmNUey/qR19HRLP3jsEMXjvXn9nOSVUkXpgLgJsAAAIABJREFU97vosh4ta2/Qqaf6tGePo2nTLD3//IDu/3Zc6x9oUiIRlRRQIOAbkatejJ/VvHJsvKacJdn4PFKq7dw87YzC9N2Xf/kBTx2XQr2vLZtzuzNJ3yytcDisvXv3Zq7Vhx5q6bprRl6/XnhhQHNO9Ske78n5TneqIlmwJNe5bNJV0QIBe9QYpNE2+o+nwxN6X9lU21iWTa79smB3zA8//PDMf7/zzjsKBAKjNsLn8+mwww7TWWedpYULFxaqCVVptIdAPnJsXabj9/a6shsbleiv/Hwv13W1b2BA969t1IPrEvra/9r/8GfLJQHdv7ZR+/YNaGhoSOPlqgMAUArp9JMrVwb1Z1/wq+uhkdev1paAPnuKL/PgZC5yeSarGA7MJw8EpFv+v5BuXx3XG28OjViXgguFV7DA/Omnn87898c//nGdc845WrVqVaE2X7OyPQTykWPrtK6zMWvHb2+zK37iAdcxWrchoXvvG/mz2b339csYafHC/TO+8mQ4AMALXKdf53/JVueDB1+/8kn7KOV1brSqaC2XBLSus1GL23pHBOcUXCi8ouSYr1+/XoceemgxNl1zhj8Eku7Y113ToK6HCtvxvcIYI7+/Xl3d2fPnUvVbgxoa4ts5Kkup0xly4cU2AZXKdV35phh1P5S9eEEl1B8fLZ88HW9ce3WDrr5u//WZgguFV5TR9JRTTtFHPvKRYmy6JqUeAgloxfKgjp5u6dRTfWN2/Fyf/PaiXOu3Vur7AwBUJ2OMor2Ve/0arypa90MJfW6OT+GwUaNttGJ5UO1tAbluf9b1MTlFr8ry3//939qxY4disewzWEnS+eefX+xmVLThE/MsXxpUb6/ryYkHCsGL9VsBABhPpV+/crkx1t/v6offb1JD8ODJAVEYRQvMf/zjH+tv//ZvtXPnzlHXSVdvITAf3/6HQCzZjY0V2/HHky11Zzh+NgMAeFGlX79y+WIRChklEjHF4wfPQ4LCKEoqy0svvaRly5bp7bff1nnnnaePfvSjkqRly5bpnHPOUWNjoyTpggsu0MqVK4vRhKrlOI4SCe9MPFAMw1N3Gu3UT378bAYA8LpKvn7lOrHR0NBQRccYXleUO+b33XefhoaG1NHRoblz5+qmm27Sa6+9puuuu06S1Nvbq5tvvlmbN2/Wd7/73WI0oap5aeKBYhieurOsPTyifis/mwEAvKrSr1/VHl9UgqIE5r/4xS80a9YszZ07N+vyxsZG3XrrrWpubtbtt9+ub33rW8VoRtUqZcc3xmTqrpbyG3K56rcCAJCPSr5+ua6rgYE+LVror8gvFtWgKIH53r17dfLJJ2f+7fOl6k7H43E1NDRIkqZMmaLPfOYzeu6554rRhKpX7I5/4AQDtl3aGcfSqFMOAKhElXT9ynbNTyYHNMWXVDxO6kopFSXHfNq0aSOqsKRnAN21a9eI9ZLJ5JjVWjA+13XlOIV9CCM9wcD6DYOa1xzR6c17Na85ovUbB+X327IsahYDAFANRrvmr9swKJ9vqmfLO1arokRYM2bMGFGN5VOf+pRc19XDDz+ceW3Hjh3aunWrpk+fXowmIA/DJxhIP5mdnsCoozMhY4JlbiEAACgErvneUpTA/PTTT9eOHTv02muvSZL+5E/+REcccYQeeughXXjhhbrqqqv0F3/xF0omk/ryl79cjCZgksabYKDSJzACAAApXPO9pyg55ueff75s2858kFOmTNGaNWt07bXX6qWXXtJLL70ky7J04YUXavHixcVoAiYp15k3K3UCIwAAkMI133uKEph/8IMf1MUXXzzitY997GN64okn9Prrr6u3t1czZszQtGnTirF75KHSZy4DAAC54ZrvPQVJZTnrrLP0f/7P/8n8+1/+5V/085//POu6xx13nD796U8TlHtUrhMM8M0ZAIDKxjXfewoSmO/evVt79uzJ/PvGG2/Uo48+WohNowwqeeYyAACQO6753lKQVJZAIKBolNmgqkWlz1wGAABywzXfWwoSmH/kIx/Rc889p8cee0xHHXWUJOkPf/iDXnjhhZz+fvhkRPCGSp65DAAA5I5rvncUJDBva2vTX//1X+t//s//mXlty5Yt2rJlS05//8orrxSiGSiCSpq5DAAATB7X/PIrSGB+3nnnacaMGXrmmWf0zjvv6LHHHtPRRx+t2bNnF2LzAAAAQNUrWLnEE088USeeeKIk6bHHHtPs2bO1atWqQm0eAAAAqGpFqWO+atUqHX300cXYNAAAAFCVihKYz58/vxibrUnGGBljyPsCAACjIl6oDkUJzJE/y7JkrKACfp+iUUe2bb1f5L+f0kUAAEAS8UK1KVtgftlll2nnzp0yxuipp54qVzM8ybIs+f22OjoT6uqOqTfqqtE2am0JqL3Npq4oAAAgXqhCZQvMf/vb32r37t0yxpSrCZ5lrKA6OhNas3b/bFu9UTfz70ULgpL6Dv47fsYCAKBqHXidn2y8AO8qW2D+rW99S4lEoly79yxjjAJ+n7q6Y1mXd3UntKw9rHjcZIJvfsYCAKB6ZbvOJ5MD8gcmFi/A+8oWmH/qU58q1649zRijaNRRbzR7J+qNuorGHNXXpToaP2MBAFC9RrvOX31lUH/6p/U5xwuoDFa5G4CRXNeVbVtqtLOn+DTaRnbIynSy4T9jpTtn+mesjs6EjAmWrO0AAKCwRrvO331vv0JTTc7xAipDUQLznp4evfDCC/rd73436jq/+93v9MILL6i3t7cYTahYrusqkRxQa0sg6/LWlsD7aSru/8/evcdHUd77A/88s5vs7JJNWC5BbhrQViJWKwUFSwUCYhWPxxs9mMQY40qKgKc3L9TW8+rrtCdttbWgOYLEcAmJvyOoxVp7pFwqhSJXPVJI1MqlgspFNsluJrskO/P7Y90ll91kk+zszmY/79fLl2T3ycyzm53vfHfmeb5Pm2Ev4YcEVdd4IctpHMdPRESUhLo6z7tcGnbvaUFhFPkCJQ9dEvPKykoUFRXB5XJFbONyuVBUVIQ1a9bo0YWkpqnNcJbIWFBqDX0TzrQLLCi1wlkiQ9MCkzqiHfbCxJyIiCj5dHeef+o3Ch4osXabL1Dy0GWM+dtvv42xY8di3LhxEduMGzcOY8eOxbZt27B48WI9upG0VFWFz+dGUaEV850OuD0q7BmBCZ1tx4y3HfYS7qAN3sZSFH5bJiIiSjbdnefPnlUhSUDRveYu8wVKHrpcMT958iTGjBnTbbsxY8bg5MmTenQh6amqCr+/CYrSALPJA0VpgN/f1O4g68mwFyIiIkou0Z7n/a1d5wuUPHS5Yt7a2gpJ6j7nN5lMLJnYje5qkgeGvdgBBMaUt6/KIsPnc8erq0RERBRj0Z7nuYZJ/6BLYj5q1Ci899578Pv9MJlMYdv4/X68++67GD58uB5dSBnRDnvpSnAMenDRAiIiIjKGWJzne4KLFSaWLkNZpk+fjjNnzuC3v/1txDbPPPMMzpw5g7y8PD26YDhCiMACATpMxIxm2Es4kiTBZB4Amy0L586psNmyYDINiOpuBxEREcVHb8/zPdE2J2htzehxTqBnnpNKdLliXlJSgo0bN6KyshJ/+9vfcPfdd+Piiy+GEALHjx/Hhg0bUFdXhyFDhsDpdOrRBcOI56qcPfl2y4WJiIiIkoteV7H7khNw9fHY0iUxdzgcqKysxOLFi1FbW4uf//zn7Z7XNA05OTl49tlnMWjQID26YAhGTn7bLlgQFFyYCACKCq0AmhLSNyIiIoqf3uYERs5zkpUuiTkAXHbZZXjjjTewadMm7Nq1C5999hkAYPjw4ZgyZQpmz54dcfx5fxHtBz3e47kuLFjgCft8dY0X850OKArHnBMREfVnfckJYnGRj/Pc2tMlMS8rK0NmZiYWLlyIm2++GTfffLMeuzG0qD7oDzrg8w2AJT2+t3+iXZjIbOJBQkRE1J/1Nifo60W+tkNgzp1TkZGRxSEw0GnyZ3V1NT744AM9Np00ovmge9wa3njDj2l5LtyQV49peS6sXdcKi8Wu6wTMtgsWhBNcmIhJORERUf/W25ygL6uPB4fArK1qxbQ8F741wxW3HMjodHnlw4YNS/mkLpoP+oABAuXLm0Mf6uDtn4pKL4Sw6to3LkxEREREvc0J+nKRr+0QmHjnQEanS2J+4403Ys+ePfB4wt/eSAXdfdAL82W8s7sFLlfnD2x1jReynKZryaHAggUyFpRaQwdVpl1gQakVzhIZmtbczRaIiIioP+hNTtDbhP7CEJjwC0zGIwcyMl3GmC9atAi7d+/G/Pnz8ZOf/ARXXHGFHrsxvK5W63qgxIq58xrC/l48xnh3XLDA06QhY4DQbcECIiIiMqbeLmLUm9XHOc+ta7ok5g899BDS09Nx4MAB3HXXXRg6dChGjBiB9PT0Tm2FEFizZo0e3Ui4iB90XwskCTh7NvwHPXj7R1H0/UAGDrQmKIrAIMdA1NfXp+RBQERElOra5gRmk4CidF8prjcJfdshMOGS83jlQEalS2K+Z8+e0L81TcPp06dx+vTpsG37+62KSB90LwagIF9uV2IoKN5jvIP7YVJORESU2npaurmnCX3bITBGyIGMRpfEfMuWLXpsNql1/KD35vYPERERkRH1JKFnDhSZLon5yJEj9dhsv9Lb8VxEREREyYzz3CLTbeVP6l5vxnMRERERJTvOcwtP18T8ww8/xPr163Hw4EG4XC7MnDkTjz76KABg//79OHToEG677TYMHDhQz24YXk/HcxERERH1B5zn1p5uifnKlSuxdOlStLa2AghM8nS5XKHnvV4vysrKkJ6ejnnz5unVDSIiIiKipKDLAkObN2/Gb37zG4wYMQLl5eXYtWtXp29C119/PRwOBzZv3qxHF4iIiIiIkoouV8zXrFkDm82GyspKjBo1KmwbIQTGjBmDY8eO6dEFIiIiIqKkossV88OHD+Oaa66JmJQHDRs2DGfOnNGjC0RERERESUWXxNzv90OW5W7bnTt3DmlpaXp0gYiIiIgoqeiSmI8ePRqHDh2C3++P2EZRFNTW1uKyyy7TowtERERERElFl8T8pptuwueff46lS5dGbLN06VI0Njbi5ptv1qMLRERERERJRZfJnyUlJfjTn/6ElStXYv/+/cjLywMAnDhxAuvWrcPmzZvxzjvvYNy4cbjnnnv06AIRERERUVLRJTG32WxYu3YtHn/8cfz1r3/FgQMHAAB79+7Fvn37oGkapkyZgqeffhrp6el6dCEhhBAQQoQWDOr4MxEREVEy6w+5jZFfg24LDA0ePBgrV65EbW0tdu7ciU8//RR+vx8XXXQRrr/+elx99dV67TruJEmCkKyQLWlwu1XY7RJ8PhUWWYK7MfCz19sCTWv+cglaIiIiouQRLtdJttwmGV6Dbol5UG5uLnJzc+HxeAAAGRkZeu8yriRJgsViR0WlF9U1HgwZImHtqkysq/Gh5iUvGt0aMu0CBfkynCV2+Hxuw/zxiYiIiLrTMddJxtwmWV6Dron5tm3bUF1djXfffReKogAArFYrJkyYgPz8/NDY82idOnUKf/rTn7B9+3YcOXIEZ8+eRVZWFiZMmACn0xn2KrzH48Gzzz6LTZs24cyZMxg6dChmz56NxYsXx+RLgpCsqKj04vkVzQCAX/ynDetqvFj+QnOoTaNbCz1fVGgF0NTn/RIRERHFQ8dcB0i+3CZZXoMuVVk0TcOPf/xjPPTQQ9ixYweamppgt9uRkZEBRVGwY8cOLFy4EI8//niPxvZUVVWhrKwMn3zyCa6//nrcf//9+MY3voEtW7Zg3rx5ePPNN9u1VxQFhYWFWL16NcaMGYPi4mJceumlWL16NQoLC0NfFnpLCAHZkobqGi8AwOEQmDw5DTUvecO2r67xQpbTIITo036JiIiI4qFjrtNRMuQ2yfQadLlivmbNGrz66qvIzs7GQw89hFtvvTV0ddrj8eCNN97Af//3f2Pjxo0YN24ciouLo9ruVVddherqakycOLHd4/v27UNxcTF+9rOfYdasWaEJpRUVFaitrYXT6cQjjzwSar9s2TKUl5ejoqICDz/8cK9fpxACbreKRnfgy8WQwRLOnbvwc0eNbg1ujwqzSRhusgERERFRRx1znY6SIbdJptegyxXzl19+GVarFdXV1Zg3b167ISMZGRmYN28eqqurIcsyXn755ai3O3v27E5JOQBMnDgR1113Herr6/HBBx8ACFy1X79+PWw2GxYuXNiufWlpKbKysrBhw4Y+/QE0TYPdLiHTHviGdfYLFYMGXfi5o0y7gD1DSvgfnYiIiCgaHXOdjpIht0mm16BLYn7ixAlMnjwZo0ePjthm9OjRmDx5Mk6cOBGTfZrN5nb/P3bsGE6fPo0JEybAZrO1a2uxWDBx4kScOnUKx48f7/U+NU2D19eCgnwZAOByaXjnnRbk3yOHbV+QL385+7f9H14IEZgpbIBbKERERERBHXOdjiLlNvEQbf5k5NfQkS5DWQYNGoS0tLRu26WlpcHhcPR5f59++in+9re/YejQofjqV78KAKGEOycnJ+zvXHLJJaF2kdpEQ1Ob4SyxAwiMUXpmqYK1qzIhRODn9rN+Zfh87tDvJkPZHiIiIkptHXOdrnKbeOhN/mS01xCJLon5rFmz8Ic//AENDQ3IysoK26a+vh67d+/Grbfe2qd9tbS04NFHH8X58+fxox/9CCaTCQDgdgfe4EiVV4KPB9uFk5WVBUmK7qbCA/dbUfqgFW6PhowMgeL75NDP9gyB1lZAlgVk+cL74fNpWPlic7uyPYUFMpwlmbBY4n/1PBZfkvorvjfG0pNj0zi+iMlWOn4W+/bZ1KdPvReb/gBGO2aN9j7rJzmPzb5Lhr9NLLTNdSLlNr3Vk/ewL/mTnq8hFnRJzL/3ve/h3XffxX333YfHHnsMU6ZMaff8rl278NRTT2HUqFH4/ve/3+v9qKqKH//4x9i7dy++853v4Pbbb+9r19tpaGjoUXshBEySQFNTYCWp1pb2P3vbTAY2mQdgbVVrp7I9/728GZoGFBWa4ffHr2yPw+GAy+WK2/6SCd+b8BJ5IurpsdmftP0sGuWzaYQ+dGTEPvVVtK+Jx2Z8GeU4jJeOuY43fKGTHunJexiL/EmP19CdaI9LXRLzhx56CGlpaTh06BBKSkqQlZWFESNGAAA+++wz1NfXAwCuvvpqPPTQQ+1+VwiBNWvWdLsPTdPwk5/8BK+//jpuu+02/OxnP2v3vN0euF0RXNioo+DjwXax0HFp10hLvV4o2xO+b9U1Xsx3OqAoiZ8dTERERBSUyGXsY5U/JfI1dEeXxHzPnj2hf2uahvr6+lAy3tZ7773X6bFoJkCqqoonnngCr776Km699Vb88pe/7HTrLDiG/NixY2G3ERyDHmwXT8lUtoeIjGXq9LbjJ2M39KMv2vcp8cZfbYz3hYhiKxXyJ10S8y1btuixWQDtk/JbbrkFv/71r0PjytvKyclBdnY2Dhw4AEVR2lVm8fl82LdvH7KzsxOSmLct2xPuwxUs26MoyfmhIiIiIoq1VMifdEnMR44cqcdm2yXl3/72t/HUU0+FTcqBwLequXPnory8HOXl5e0WGFqxYgUaGhqwcOHChJQobFu2p+0YqSAjle0hIiIiMoJUyJ90Scz1Ul5ejldffRU2mw05OTl4/vnnO7WZNWsWcnNzAQBOpxNbt24NrQA6fvx41NXVYfv27cjNzYXT6Yz3SwhJlrI9REREREbR3/OnpErMT548CQBQFAXLly8P22bkyJGhxNxms6GqqgrPPfcc3nrrLezZswdDhgxBcXExFi1a1GnhoXhSVRU+nxtFhVbMdzrg9qiwZwTqcPp8btYxJyIiIuqgv+dPQkvm6/06i1f5IyEEhBAJnSWcauWeeoLvTXiJLMmWjH8Po02QpOSz4y/R1QfnsRlfPEf0XW/fQyPkT9FKaLlE6qyrD08yfKCIiIiIjCQW+ZPRknsm5jrrzbKxRERERKQfo+ZnqbdubhyZTCbIsh0vr2/FtDwXbsirx7Q8F9aua4XFYk/JZYuJiIiIEkmSJFgsdqyt6n1+JoQIJPcxru7HK+Y6CH0Lk9PgOqci/x4rxuSY8btlCo4c9YdK/BQVWgF0vWwsEREREcWOkKyoqPS2K7nY6Naiys/0vtLOS7Yx1u5b2AwX8mbXY+aNLhyubcWaykyMHROou15d44UspyWkjjoRERFRKhJCQLakobrGG/b5rvKzWFxp7w6vmMdYpG9hy18I/Py9h214+PvufrFsLBEREVEyEULA7VbDrhwKoMv8rC9X2qPFK+Yx1N23sJqXvJgyJQ0OhwgtG8uknIiIiCg+NE2D3S4h0x5+xEKk/KwvV9p7gol5DEXzLcx1TsWQwVK/WDaWiIiIKJlomgavrwUF+XLY5yPlZ9HkeB6PBpPJ1Kf+MTGPIU3TYM/s+lvYoEESbp2TDmeJDE1rDtuOiIiIiPShqc1wlshYUGoN5WyZdoEFpdaI+Vk0V9oHDBBISxvQp7HmTMz7oGOpHE3T4POqXX4L8/s1fOduc79YNpaIiIgo2aiqCp/PjaJCM97e6sD2bQPx9lYHigrNOH/eAwCdhqR0d6U9/x4ZO3a2oKLSCyGsve4bJ3/2QqRSOYAXFouEgntkaFpgTHmjW0OmXSD/HhkF98hITxdQFIVDWIiIiIgSJHBxtAmKImA2CXi9AhAyZIs9YhnEwJV2OwSAdTWdc7z7Shpx9qyK+U4HFKV3xT14xbyHui6VkwG3W0XR/Y24IteMLX92YNObA7Hlzw7k5ppRdH8j3B6VJRKJiIiIDCCYPKenZ3RbBlFVVbS0NKGwUO6U491X0ogjR/2hqi69zfV4xbyHuiqVI8tA0b1WnD2r4uHvu+FwCAwZLOHsFypcLi0001dReLWciIiIyAh6UgbR7/fDZhP41zvrYbGIUI4X1Ndcj1fMe6C7UjkvVnrRcl4LjT9yuTR89A9/6A/GSixERERExtHTMojBseZzbrG0y/GC+prr8Yp5D0RTKqelRYOzJJCYV7cZf1SQL8NZIsPnc8ezy0REREQUQW8WHAqONQdin+sxMe+BtqVywv0BM+0CNpsEr9eNokIZ850OuD0q7BmBCQSsxEJERERkHNHkdh2Hplyo6mKNea7HoSw9EG1Rer/fD7+/CYrSALPJA0VpgN/fxKSciIiIyEB6u+CQqqq65Hq8Yt5DPbl9oWkax5MTERERGVhfhqbEOtdjYt5Det6+ICIiIqL4MlJux8S8FzoWpVcUXhknIiIiSlZGye2YmPcBh6oQERER9R+Jzu04+ZOIiIiIyACYmBMRERERGQATcyIiIiIiA2BiTkRERERkAEzMiYiIiIgMgIk5EREREZEBMDEnIiIiIjIAJuZERERERAbABYaIqF+aOj1+SygTERHFAq+YExEREREZABNzIiIiIiIDYGJORERERGQATMyJiIiIiAyAiTkRERERkQEwMSciIiIiMgAm5kREREREBsDEnIiIiIjIAJiYExEREREZABNzIiIiIiIDYGJORERERGQATMyJiIiIiAyAiTkRERERkQEwMSciIiIiMgAm5kREREREBsDEnIiIiIjIAJiYExEREREZABNzIiIiIiIDYGLeB0IISJIEIUSiu0JEREREOopH3mfWbcv9mCRJEJIVsiUNbrcKu12C19sCTWuGqqqJ7h4RERERxUg88z5eMe8hSZJgsdixtqoV0/JcuCGvHtPyXFi7rhUWix2SxLeUiIiIqD+Id97HK+Y9JCQrKiq9eH5Fc+ixRrcW+rmo0AqgKUG9IyIiIqJYiXfex8u7PSCEgGxJQ3WNN+zz1TVeyHIax5wTERERJblE5H1MzHtACAG3W0WjWwv7fKNbg9ujMjEnIiIiSnKJyPuYmPeApmmw2yVk2sP/ATLtAvYMCZoW/g9IRERERMkhEXkfE/Me0DQNXl8LCvLlsM8X5MtfztJlYk5ERESUzBKR93HyZw9pajOcJXYAgbFFjW4NmXaBgnwZzhIZPp87wT0kIiIioliId97HxLyHVFWFz+dGUaEV850OuD0q7BmBepY+n5t1zImIiIj6iXjnfUzMeyHwR2iCogiYTQKKonH4ChEREVE/FM+8j4l5H2gaE3IiIiKiVBCPvI+TP4mIiIiIDICJORERERGRATAxJyIiIiIyAKFxkDQRERERUcLxijkRERERkQEwMSciIiIiMgAm5kREREREBsDEnIiIiIjIAJiYExEREREZABNzIiIiIiIDYGJORERERGQATMyJiIiIiAyAiTkRERERkQEwMSciIiIiMgAm5kREREREBsDEnIiIiIjIAJiYExEREREZABNzIiIiIiIDYGJORERERGQATMyJiIiIiAyAiTkRERERkQEwMSciIiIiMgBzojtgZC6XK9FdiJusrCw0NDQkuhuGxPcmPIfDkbB9p9Kx2RV+NsNL9feFx2Z8pfrnLRZS4T2M9rjkFXMCAEgSPwqR8L0ho+JnMzy+LxRP/Lz1Hd/DC/hOEBEREREZABNzIiIiIiIDYGJORERERGQATMx1JISAJEkQQiS6K0RkEIwLREQUCauy6ECSJAjJCtmSBrdbhd0uwettgaY1Q1XVRHePiBKAcYGIiLrDxDzGJEmCxWJHRaUXf3yzCRaLgM+nYc4tFjhL7PD53DwJE6WYtnGhusaDRreGTLvAAyUy7i2ww+fzwO/3J7qbRESUYEzMY0xIVrzymg9X5JpRcr8V586pGDRIwq5dLXjlNR/+ZY4VQFOiu0lEcSQkKyoqvXh+RTMAYOwYE77/7zZMnpyG+noVjkF2eJt59ZyIKNVxjHkMCSEgW9Jwy7ctOHS4FTNvdOGmW+ox80YXDte24pZvWyDLaRxbSpRCgnGhusYLIJCUr6nMDMWIvNn1mDbDhbXrWmGx2FnPl4gohfGKeR+ahRlCAAAgAElEQVQIISCEgKZp0DQNQgh4vRrW1Xix/IXmULtGtxb6ueheOfQ7RKSPjsdmovvidqtodAf68f1/t6H6pc4xIng1vaiQd9WIiFIVE/NeiDSJSwgfZFmg5iVv2N+recmL7863QlHi3GGiFGHECZaapsFul5BpFzCZgcmT0/DETz1h21bXeDHf6YCi8Ms7EZHepk6PzXlhx19id6eT90x7KDiJa21VK6bluXBDXj2m5QVuQ6enD0Bjoxa6MtZRo1uDO8JzRNQ3XR2biRwiomkavL4WFOTLGDJYwrlzatcxwqNyuBsRUYpKqivmr776KpYsWdJlm8mTJ2PNmjWhnz0eD5599lls2rQJZ86cwdChQzF79mwsXrwYGRkZPe5Dx0lcwIXb0LIMFN1rRaZdhD3xZtoFMuwCShOTc6JY6+rYBBI7RERTm+EssUOWgcGDpC5jhD1DgqIwRhARpaKkSsxzc3OxaNGisM+99dZb+OijjzB16tTQY4qioLCwELW1tfjmN7+JOXPmoK6uDqtXr8bu3btRU1MDm80W9f4vTOIKfxv6xUov7vk3GQX5crvkIKggX/6y8gJPukSx1N2xmeghIqqqwudz4zt3W6GqWtcxwssYQUSUqpIuMc/Nze30+Pnz57Fu3TqYzWbccccdoccrKipQW1sLp9OJRx55JPT4smXLUF5ejoqKCjz88MNR77/jJK6OGt0aWlo0OEtkAIFkIFivuCBfhrNEhs/njnp/RBSdaI5Nt0eF2ZS4sduBMe5NAExwlgTu1jFGEBFRW0mVmEeyefNm1NfXY9asWRgyZAiAwLjO9evXw2azYeHChe3al5aWYt26ddiwYQMWL14c9XjOtpO4It2GttkkeL1uFBXKmO90wO1RYc8ITEDj4kJE+ojm2DTKEBG/3w+fz42iQitjBBERtdMvJn9u2LABADB37tzQY8eOHcPp06cxYcKETsNVLBYLJk6ciFOnTuH48eNR76ftJK5wgreh/X4//P4mKEoDzCYPFKUBfn8TT7hEOon22DTKEBFVVRkjiIiok6RPzE+ePIldu3Zh2LBh+Na3vhV6PJhw5+TkhP29Sy65pF27aAUmcclYUBqY5AkErsYtKLXCWSJD0y6MG9U0DaqqGiYZIOrPenJsxpsQIlDKscPdOcYIIiJqK+mHsrz66qtQVRV33nknTCZT6HG3OzBOM1LlleDjwXbhZGVlRSyxVnyfjNIHraHxoT6fBlmWIMtZvX0pCedwOBLdBcPie2MsXR2bD9xvRemDVrg9GuwZAq2tgCyLhB2bzc0azGbA7dZgtwf6Y7XGrhwiP5vh8X1JjK6Ozf6Mn7e+S8x7+EVMthLLvid1Yq6qKl599VUIIXDXXXfFfPsNDQ2dHgvWSl69xos/vumDxRJIyufcYglN3ErG29EOhwMulyvR3TAkvjfhJfJEFO7YbEsIAZMk0NQUWPnTG37NL10FY8WLq7wRJ3n2NVbwsxleqr8vRj42+6NU/7zFQrK/h9H0PdrjMqkT8507d+LTTz/FlClTMHr06HbP2e12AIE65uEEHw+2i1a4WskADFErmYgCNE1L+PAQI9dVJyIiY0rq+03hJn0GBceQHzt2LOzvBseWB9tF40Kt5PCX36prvJDlNK7aR5TiGCuIiKg3kjYxd7lc2LJlCwYOHIgbb7yx0/M5OTnIzs7GgQMHoChKu+d8Ph/27duH7OzsHifm0dRKDneyjTT5i4j6n97ECsYIIiJK2sR848aNaGlpwb/8y78gPT290/NCCMydOxeKoqC8vLzdcytWrEBDQwPmzp3bo5Ng21rJ4QRrJbe9hS5JEkzmAbDZstDamgGbLQsm04CUnBxDlCp6EisYI4iIKChpx5i/8sorAMIPYwlyOp3YunVraAXQ8ePHo66uDtu3b0dubi6cTmeP9tm2VnI0y2kHJ39VVHpRXePpMPnLnrQTRYmoa9HGCiEEYwQREYUkZWL+/vvv48MPP8RVV12Fyy+/PGI7m82GqqoqPPfcc3jrrbewZ88eDBkyBMXFxVi0aFGnhYeiEaiVHJgw2t1y2pLJitd+78P/e9kbuqXNyV9EqSGaWBHLCaJCCAghDDHxlYiIekdojOARRSp/ExgHaoUsp7VbTlvTmqGqKiRJgiQFnj99WoVjkIRdu1rwu2UKjhz1Awjcyn57qwOK0mCIk2iylyrSE9+b8BJZki1Z/h5dxQpN02CzZWFanivsWPRoYoTD4UBDQwOEZIVsSYPbrcJubx+PUlGqH7M8NuMr1T9vsZCo93Dq9NjEyB1/6X7oYbTHJQcx9kJXy2kHh6+sqWrFDTNcmH1LPWbe6MLh2lasqczE2DGBRZC6mihKRP1DV7GiL5PJ27JY7Fhb1YppeS7ckFePaXkurF3XCovFznHqRERJhlG7D8Itp9321nTb4SvLX2hG9UtefO/hwPCZcBNFiah/ChcrejOZvKPmZi1svHl+RTMqKr0QwhrbF0JERLpiYh5D3dUurnnJiylT0uBwiE4TRYkotbSdIBpOdzFCCAGzGayVTkTUjyTl5E+jiubWtMulYuF3rbjjdku7iaJElHp6Mpm8o0C80bodCmM2CV4AICJKEkzMY6jtrelIk7myh0q4dY6JZdCICKqqwudzo6jQivlOR7sJot3FiEC8EV3GG3uGBEVhUk5ElCw4lCWGork13extQWtrE5NyIgLQ9QTRrmiahtZW9HooDBERGQ+vmMdYX25NE1Hq6k39catVwFkSSMwZb4iIkh8T8xjry61pIqKeYrwhIuo/mJjrIHAybIKiCJhNAorClfiISB+MN0RE/QcTcx1xaWwiihfGGyKi5MfJn0REREREBsDEnIiIiIjIAJiYExEREREZABNzAxBCQJIkLp1NRF1irCAi6t84+TOBJEmCkKyQLWlwu1XY7dKXC4I0s8wZEYVEihVERNS/8Ip5gkiSBIvFjrVVrZiW58INefWYlufC2nWtsFjskCT+aYio61jh82mMFURE/QivmCeIkKyoqPTi+RXNocca3Vro56JCK4CmBPWOiIyiq1ghBHBvAWMFEVF/wUstCSCEgGxJQ3WNN+zz1TVeyHIax5ESpbjuYsW6asYKIqL+hIl5Aggh4HaraHSHXwyk0a3B7VF5siVKcYwVRESphYl5AmiaBrtdQqY9/Mk00y5gz5C4ih9RimOsICJKLUzME0DTNHh9LSjIl8M+X5Avf1mdhSdbolTWXawoLGCsICLqTzj5M0E0tRnOEjuAwJjyRreGTLtAQb4MZ4kMn8+d4B4SkRF0HSus8HobE9xDIiKKFd0T89raWhw8eBAulwuXXXYZZs6cCQA4f/48zp8/j4yMDL27YEiqqsLnc6Oo0Ir5TgfcHhX2jEBtYp/PzTrmRASg61hhsQgoCmMFEVF/oVti/vHHH2PJkiU4ePBg6LHbb789lJhv2LAB//mf/4kVK1bghhtu0KsbhhZIvpugKAJmk4CiaLwlTUSdRI4V6YnuGhERxZAuifnJkydRUFCA+vp6zJo1CxMmTMCvf/3rdm3mzJmDsrIybNq0KWUT8yBNY0JORN1jrKD+YOr02Nzl2fEXTpOj/keXxPy5555DQ0MDfvnLX+L2228HgE6JeVZWFi677DK89957enSBiIiIiCip6PJ1c8eOHcjNzQ0l5ZGMGDECp0+f1qMLRERERERJRZfEvL6+HhdffHG37YQQ8Pl8enSBiIiIiCip6JKYOxwOnDhxott2H3/8MYYNG6ZHF4iIiIiIkoouifmkSZNw6NAh7N+/P2Kbbdu24ejRo7j++ut7tY8///nPuP/++3HdddfhqquuQl5eHn7wgx/gs88+a9fO4/GgrKwMM2bMwJVXXokZM2agrKwMHo+nV/vVgxACkiRxWW0iSjjGIyKixNElMS8tLYXZbMaCBQuwfv16nDt3LvRcU1MTNm7ciCVLlsBqtaKkpKRH29Y0DU8++SQWLVqEEydO4JZbbkFRUREmTpyId999FydPngy1VRQFhYWFWL16NcaMGYPi4mJceumlWL16NQoLC6EoSsxec29IkgSTeQBstiy0tmbAZsuCyTQAksSZ5kQUX4xHRESJp0tVlq9+9at4+umn8fjjj+PJJ5/Ek08+CSEENm7ciN///vcAAIvFgqeeeiqqsehtVVVV4X/+539QUFCAJ554AiaTqd3zra2toX9XVFSgtrYWTqcTjzzySOjxZcuWoby8HBUVFXj44Yf78Ep7T5IkWCx2VFR6UV3j6bCan52LDBFR3DAeEREZg26XQm666Sb84Q9/QGFhIS699FLIsgyz2YzRo0fjO9/5DjZu3Igbb7yxR9v0er0oLy/H6NGj8eMf/7hTUg4AZnPgu4amaVi/fj1sNhsWLlzYrk1paSmysrKwYcOGhNUEFpIVFZVePL+iGY3uQB8a3RqeX9GMikovhLAmpF9ElHoYj4iIjEG3lT8BYNSoUXjiiSditr2dO3eivr4ed9xxB1RVxaZNm3Ds2DHY7XZcf/31uOSSS0Jtjx07htOnT2Pq1Kmw2WzttmOxWDBx4kRs2bIFx48fR05OTsz6GA0hBGRLGqprwo9zr67xYr7TAUURXEyEiHTFeEREZBy6Juax9ve//x0AYDKZcNttt+Ho0aOh5yRJQnFxMR577DEAwPHjxwEgYtIdTOITlZi73WroylRHjW4Nbo8Ks4knQiLSF+MREZFx6JKYnz17FkePHsWYMWMwZMiQ0OOffPIJnnnmGXz44YcYMWIEFi1ahKuuuirq7X7xxRcAgFWrVuGKK67A+vXrcemll6K2thY//elPUVlZidGjRyM/Px9utxsAkJGREXZbwceD7cLJysrSbeJTS0tgDGe4k2GmXSDTLiEtLUuXfUficDjiur9kwvfGWPQ8NpNNLD6bRoxHfcVjNjGiOza/iMm+jPQ3NlJfklVi3kPjfRZ1ScxfeOEFVFVV4Y9//GMoMW9qakJ+fj7Onj0LTdPwj3/8A3v37sXrr7+O0aNHR7Xd4NWatLQ0lJeXh2qgT5w4EcuWLcNtt92GVatWIT8/Pyavo6GhISbbCcdkHoCCfBnPr2ju9FxBvozm5hZ4PE267b8jh8MBl8sVt/0lE7434SXyRKTnsZlMYvXZNFo86qtUP2ZT5dg0yt841T9vsZDs72E0fY/2uNTlktOePXtw6aWXYuzYsaHHXnvtNZw5cwZz5szB//7v/2LJkiVobm7Giy++GPV2g1e5r7zyyk4LE33lK1/B6NGj8c9//hONjY2w2+0AELFeefDxYLt409RmOEtkLCi1ItMeqBecaRdYUGqFs0SGpnU+QRIR6YHxiIjIGHS5Yn7q1ClcffXV7R7btm0bzGYznnjiCTgcDuTk5OD3v/89du/eHfV2g4l+pGQ6+LjX6w2NIT927FjYtsEx6G0njMaTqqrw+dwoKrRivtMBt0eFPUOC19vC0mREFFeMR0RExqBLYt7U1IQBAwaEftY0De+//z7Gjx/f7lL+mDFjsG3btqi3e9111wEAjhw50um5lpYW/POf/4TNZsOgQYMwdOhQZGdn48CBA1AUpV1lFp/Ph3379iE7OzthiTmAL092TVAUAbNJQFE0Tq4iooRgPCIiSjxdhrIMGzas3QqcBw8ehNvtxrXXXtuuXWtrK9LT06Pe7sUXX4ypU6fi+PHjWL9+fbvnXnjhBTQ2NmLWrFkwm80QQmDu3LlQFAXl5eXt2q5YsQINDQ2YO3euIZad1jQNqqryJEhECcd4RESUOLpcMf/617+OP/7xj9i8eTMmT56M559/HkIIzJgxo127I0eOIDs7u0fb/o//+A/MmzcPP/nJT7B582aMHTsWhw8fxjvvvIORI0fi0UcfDbV1Op3YunVraAXQ8ePHo66uDtu3b0dubi6cTmdMXi8RERERUV/pcsX8u9/9LtLT07F48WJMmjQJ27Ztw7XXXosJEyaE2pw4cQL/+Mc/Oo1F787FF1+MV155BXfeeScOHTqEqqoqHD9+HAUFBVi/fj2GDh0aamuz2VBVVYXi4mIcOXIEq1atwkcffYTi4mJUVVV1WniIiIiIiChRdLlifumll6KmpgZr167FuXPnMH78eDzwwAPt2uzYsQPjxo3DrFmzerz94cOHo6ysLKq2drsdS5YswZIlS3q8HyIiIiKieNFt5c8rrrgCv/zlLyM+P2/ePMybN0+v3RMRERERJRUunRcnQghIkmSIyaZERNFg3CIiii/drpgDwLlz5/DKK69g//79OH36NAAgOzsbEydOxB133IHBgwfruXtDkCQJQrJCtqTB7VZhtwdqA2taM2sDE5EhMW4RESWGbon5W2+9hSeeeAJNTU3tym4dPnwYb7/9NpYvX47/+q//wuzZs/XqQsJJkgSLxY6KSi+qazxodGvItAsU5Mtwlti5cAcRGQ7jFhFR4uiSmB88eBA//OEPoaoqbrzxRtx2220YNWoUAODkyZPYuHEjNm/ejB/84Ad46aWX8LWvfU2PbiSckKyoqPTi+RUXlrNudGuhn4sKrQCaEtQ7IqLOGLeIiBJHlzHmL7zwAvx+P373u99h2bJlmDVrFsaNG4dx48Zh5syZWLZsGZYtW4bW1lasXLlSjy4knBACsiUN1TXesM9X13ghy2kcu0lEhsG4RUSUWLok5vv378c111zT5TCVWbNmYcKECdi3b58eXUg4IQTcbhWN7vCr5zW6Nbg9Kk9wRGQYjFtERImlS2LudrsxfPjwbtsNHz4cbrdbjy4kRNsKBpqmwW6XkGkPfwLLtAvYMyQue01EMRGLCiqMW0REiaVLYj506FDU1dV1266urq7dSp3JSpIkmMwDYLNlobU1AzZbFiTJBp+vFQX5ctjfKciXv6xywBMcEfVeuPhjMg2AJPU8vGuaBq+vhXGLiChBdEnMp06diiNHjuB3v/td2ACuaRqeeeYZHDlyBFOnTtWjC3ETrGCwtqoV0/JcuCGvHtPyXFi7rhXp6SY4S2QsKLWGrkBl2gUWlFrhLJGhac3dbL0z1hUmorYixR+Lxd675FxtjnnciiXGQCLqz4Smw6WPzz//HLfffjsaGhowevRo3HzzzRg5ciSEEDhx4gTefPNNnDhxAgMHDsRrr72Giy66KNZdiAmXy9VtG5N5ANZWtbarYBC0oNSK4iIzVBWQ5TS4PSrsGb2rB6x3XWGHwxHV601FfG/CczgcCds3/x4BsjwQL65qjhh/igrN8Pt7XkElkPha+xy3YqknMTDVj1mjH5tTp8fmM7TjL8ZYIzHVP2+xkKj3MJ6fxWiPS13KJV500UVYs2YNfvSjH+Gjjz7CihUrQlc3gt8DvvrVr+Lpp582bFIejQsVDDxhn6+u8WK+0wFFaYCiAGaTgKJoPb4NzLrCRNSREAJmM7qsoBKIP6LHMScQT5qgKKLXcSuWGAOJKFXotsDQ5Zdfjj/84Q/YvXs39u3b12nlz+uuu06vXcdNtBUMzCYBVVV7fWJjXWEi6igQf7So4k9vY4+mJTYhD2IMJKJUoVtiHnTdddf1iyQ8nLYVDMKdHIMVDBSl9ye26K/K9/7kS0TJJxB/hK7xxwgYA4kolegyQKuoqCiqhYNefPFFFBUV6dGFuIhHBYPursqbzIDSrPZqkhcRJS9N09Dain5fQUUIAY9HxbBhEhyOzhM+WVudiPoTXa6Y79mzByNHjuy23dGjR7F37149uhA3gQoGdgCBKzftxz7K8Pn6Vqc90lX5sWNM+P6/2zBlchqUZg22DHvCJ2cRUXxZrQLOkkBirkf8STRJkiBJVthsEsqX2eEYJGHXrhb8bpmCI0f9APrPnQEiIiAOQ1m64vP5YDKZEtmFPlNVFT6fG0WFVsx3OtpVMIjFhKS2V+WD4ynHjjFhTWUmql/y4omf9n0iVPBKU3BhJCJKHnrGHyFEKC7EOzZEmvCZf4+MNZWZuK+kEUeO+vvNnQEiIiCBibnH48G7776L7OzsRHUhZvSuYNDxqvz3/92G6pe8WP5C3yZCtS0/du6cioyMrE5X3RN5Yiai7ukRf/Quz9pRuDgTacJnMO796Ac2HPx7a7+4M0BEFBSzxHzmzJntfn7rrbewZ8+esG39fj/Onj0Lv9+PgoKCWHUh4fRKXjtelQeAJ37at4lQ3ZUfa2lpggZL3E7MRNQ3sYo/8SxNGOkLAODtcsJnzUtefHe+AxOuAUslElG/ErPE/OTJk6F/CyGgKAoURQm/U7MZ2dnZyMvLww9/+MNYdaFfC14V83pNaGkZ0OcSaV2VH3M4BO66IwMVlc2sGUyUYuJVmrCrLwAPPpDRfSlatwqTiRcKiKh/iVliXldXF/r3uHHjcMcdd6CsrCxWm6cvqara5xKN3ZUfGz3KhIrKZtYMJkox8SxN2NUXAFkGiu61dhnnMjjhk4j6IV1q7JWVleHuu+/WY9MpLxYlGrsqwehwCEycmNblaoKynMbSZET9ULSLpvX1+L/wBSB8nHmx0ouW81q/LwVJRNSRLpM/77jjDj02S1/qa4nGrhZGGjJYgutcdKuZ8qRI1L/EY9E0ILovAC0tWr8uBUnGMXV6X4dDfRGTfqSCHX/hmivd0eUdev311zFz5kzs3LkzYpsdO3Zg5syZePPNN/XoQr92YTKoGW9vdWD7toF4e6sDRYXmqMZ/d3XV/ewXKoYMCZyYwwmemJmUE/U/8Vg0Lbif4BeAcDLtAjabhPPnPb2Oc0REyUiXxHzjxo1obm7GddddF7HN5MmToSgKXnvtNT260O+pqgq/vwmK0gCzyQNFaYDf3xT1ySpw1V3GglJr6OSYaReY9x0Zra28hUyUqiLFhgWlVjhLZGhaczdbiGIfUX4B8Pv9fYpzRETJRpehLB999BEuv/xymM2RN282mzFu3Dh89NFHenQhZfS2RFrHEoyeJg0ZAwS83haoahOcJQMA8BYyUarRe9G0oJ4MyeM6CkSUKnRJzF0uFwYNGtRtu0GDBmHfvn16dIGi0HZhkkGOgaivrw+d/FRV/xMzERmT3oumBfcRjy8ARETJRJfEfODAgfjkk0+6bffJJ58gMzNTjy5QDwRPuG1PvPE4MRORsel9pZpxhoioPV3GmE+YMAEHDx7s8mr4vn378P777+Oaa67RowsUI5qmQVVVniyJSDeMM0REAbok5sXFxQCABQsWYPXq1e1WAFUUBatXr8bChQshhAi1jVZeXh4uv/zysP89+eSTndp7PB6UlZVhxowZuPLKKzFjxgyUlZXB4wm/gAYRERERUSLoMpTlmmuuwWOPPYZf/epXof8GDx4MAPjiiwv1Ph999FFMnDixx9u32+247777Oj1+5ZVXtvtZURQUFhaitrYW3/zmNzFnzhzU1dVh9erV2L17N2pqamCz2Xq8fyIiIiKiWNMlMQcCV83Hjx+PF154AXv37sXZs2cBALIs49prr8WDDz6ISZMm9WrbmZmZWLx4cbftKioqUFtbC6fTiUceeST0+LJly1BeXo6Kigo8/PDDveoDEREREVEs6ZaYA8CkSZMwadIkqKoKl8sFAHA4HJAk/Vd+0jQN69evh81mw8KFC9s9V1painXr1mHDhg1YvHgxl5cnIiIiooTTNTEPkiQpNJQlFs6fP4/XXnsNp06dQmZmJiZMmIBx48a1a3Ps2DGcPn0aU6dO7TRcxWKxYOLEidiyZQuOHz+OnJycmPWNiIiIiKg34pKYx9qZM2fw+OOPt3vsW9/6Fn7961+H6qcfP34cACIm3ZdcckmoHRNzIiIiIko03RJzTdPw+uuvh65KNzU1hS2FJYTA5s2bo97unXfeiWuvvRaXXXYZ0tPT8fHHH+O5557D9u3b8dBDD+Gll16CEAJud2DVuIyMjLDbCT4ebBdOVlZWXIbdGIXD4Uh0FwyL742xpNqx2RV+NsPj+5IY0R2bX3TzfHRi9zeOTX+oe139zRJzzBrts6hTYn7+/HmUlpbinXfeiViXVgjRq5q1ixYtavfz1VdfjRUrVqCwsBD79+/H22+/jenTp/em2500NDTEZDt9IYQIvVd61vh1OByheQDUHt+b8BKZ+Bjh2DQCo3024xWvumO09yXeUuXYTOW/cbKK9DdL9mM2mr5He1zqcslp1apV2LVrF6ZPn45NmzbhX//1XyGEwMGDB/Hmm29i0aJFsFqteOCBB1BXV9fn/UmShDvvvBMAcODAAQCBkooAItYrDz4ebGc0kiTBZB4Amy0Lra0ZsNmyYDIN4FVCIjIcxisiotjQ5Yr5m2++iaysLPzmN7+BzWYLBee0tDSMHTsWixYtwuTJk1FUVIQxY8bg7rvv7vM+g99EmpubAVwYQ37s2LGw7YNj0IPtjESSJFgsdlRUelFd40GjW0OmXaAgX4azxA6fz/3lUtZERInFeEVEFDu6XM745z//iauuuipUDSVYjtDv94faTJw4ERMmTEBNTU1M9vn+++8DAEaOHAkgMOkzOzsbBw4caLfyKAD4fD7s27cP2dnZhkzMhWRFRaUXz69oRqM7cDu40a3h+RXNqKj0QghrgntIRBTAeEVEFDu6JOaSJLWbdBlM0M+dO9eu3bBhw3D06NGot/uPf/wDjY2NnR7ft28fVq1ahfT0dMyePRtA4MvA3LlzoSgKysvL27VfsWIFGhoaMHfuXMPVMBdCQLakobrGG/b56hovZDnNcP0motTDeEVEFFu6DGUZNmwYPvvss9DPF198MQDg//7v/zBr1qzQ4x988AEGDBgQ9Xb/9Kc/oaKiAlOmTMHIkSORnp6ODz/8EDt37oQkSfjZz36GESNGhNo7nU5s3bo1tALo+PHjUVdXh+3btyM3NxdOpzMGrza2AhVl1NCVp44a3RrcHhVmU+8mzxIRxQrjFRFRbOmSmF999dXYtGkTvF4vZFnGtGnTUFZWhl/84hdIS0vDRRddhJdffhkff/wxZsyYEfV2r7vuOnz88cc4fLmAyEgAACAASURBVPgw9uzZg/Pnz2Pw4MG45ZZbUFxcjKuuuqpde5vNhqqqKjz33HN46623sGfPHgwZMgTFxcVYtGhRp4WHjEDTNNjtEjLtIuzJLtMuYM+QoCg8yRFRYjFeERHFli6J+U033YS//vWv2LlzJ2bOnIlLLrkE9913H1avXo3vfve7AAIB3Wq14kc/+lHU27322mtx7bXX9qgvdrsdS5YswZIlS3r0e4miaRq8vhYU5Mt4fkVzp+cL8mV4vS28+kRECcd4RUQUW7ok5tOnT8eOHTvaPfb444/ja1/7GjZv3ozGxkbk5OTg3nvv5aqbYWhqM5wlgTKO1TXeDlUOZPh84RdFMkoNYSJKIZoXzpLAnKKexCsiIupMt5U/w5kzZw7mzJkTz10mJVVV4fO5UVRoxXynA26PCnuGBK+3JWzpMUmSICQrZEsa3G4Vdrv05VWqZpYpIyJdtI07iqLi/vtkzH/QCo9bRUYX8YqIiCKLa2JO0QuczJqgKAJmk4CihL8KzhrCRBRvkeLOAyUy7i2Q4fW625XHJSKi6DAxN7juhqW0rSEcFKwhDABFhVYATXp3M2E4fIco/iLFnWeWNsPrBYoKZcQz7jAOEFF/EZPEPDc3t9e/K4TA4cOHY9GNlHOhhrAn7PPVNV7MdzqgKP2vVBmH7xAlhpHiTqQ4QESUrGKSmA8fPjwWm6EeStUawhy+Q5Q4Rok7XcWBBx9IgyRJjANElHRikphv3bo1FpuhHkrVGsKpPnyHKJGMEne6igNCAPcWMA4QUfKREt0B6r22NYTD6Y81hLkEOFFiGSHudBcH1lUzDhBRcuLkzyTX25rnycoot9GJUlmi4w7jABH1V0zMk1xPa54nO6PcRidKZYmOO4wDRNRfJWwoy/3334+ZM2di1qxZiepCv6GqKvz+JihKA8wmDxSlAX5/U79LygFj3EYnosTGne7iQGEB4wARJaeEXTH//PPPcfLkSY4BjKFUqeGb6NvoRHRBouJO13HACq+3Me59IiLqq4Ql5r/61a/g9YafuEPUlUTfRieixOsqDlgsAorCOEBEySdhiflVV12VqF1TPxBIvpugKAJmk4CipMbdAiK6IHIcSE9014iIeoWTPymppcrwHSKKjHGAiPoLXSZ/NjQ0YO/evTh16lTENqdOncLevXvR2MhxgEREREREuiTmlZWVKCoqgsvlitjG5XKhqKgIa9as0aMLRERERERJRZfE/O2338bYsWMxbty4iG3GjRuHsWPHYtu2bXp0gYiIiIgoqeiSmJ88eRJjxozptt2YMWNw8uRJPbpARERERJRUdJn82draCknqPuc3mUwsmUhEREQ9NnU6S2Kmqv78t9flivmoUaPw3nvvwe/3R2zj9/vx7rvvYvjw4Xp0gYiIiIgoqeiSmE+fPh1nzpzBb3/724htnnnmGZw5cwZ5eXl6dIGIiIiIKKnoMpSlpKQEGzduRGVlJf72t7/h7rvvxsUXXwwhBI4fP44NGzagrq4OQ4YMgdPp1KML1E8IISCEYJ1iohTGOEBEqUKXxNzhcKCyshKLFy9GbW0tfv7zn7d7XtM05OTk4Nlnn8WgQYP06AIZXHcnWkmSICQrZEsa3G4VdntgqW1Na/5ytT8i6u96EweEEKH/M4knomSj28qfl112Gd544w1s2rQJu3btwmeffQYAGD58OKZMmYLZs2fDZDLptXsyqGhOtJIkwWKxo6LSi+oaDxrdGjLtAgX5Mpwldvh8bibnRP1cd3Hg/HlP6Iu9pmntYsu5cyoyMrL4ZZ6Iko4uiXlZWRkyMzOxcOFC3Hzzzbj55pv12A0lmWgTbiFZUVHpxfMrmkO/2+jWQj8XFVoBNCXoVRBRPHQXB+6/LwNerwa7XcL58y0wm838Mk9ESU+XyZ/V1dX44IMP9Ng0JbG2J9pGd+AWc/BEW1HphRBWCCEgy2morglfRrO6xgvZmha6XU1E/Y8QArKl6zggSQL/elcDpuW58OlnUrexhYgoGeiSmA8bNoxj+6idaE60spwGSZLgbtRCJ9eOGt0aPG6NiTlRPyaEgNutdhkHzp1TMWSwBJMZGDXK1G1sYcwgomSgS2J+4403Ys+ePfB4PHpsnpJQNCdat0eFEAKZmQKZ9vAn0Uy7gD3Cc0TUP2haYIhKV3HAMUjC2S8Cyfm5c9HFFiIio9MlMV+0aBFGjBiB+fPn4/Dhw3rsImTlypW4/PLLcfnll+O9994L28bj8aCsrAwzZszAlVdeiRkzZqCsrIxfHOIomhOtPUOCpmlobtaQf48ctl3+PTKUZt6NIerPNE2D19eCgvzIcWDXrha4XBrOfqFi0KDoYgsRkdHpMvnzoYceQnp6Og4cOIC77roLQ4cOxYgRI5Cent6prRACa9as6dV+Pv74Yyxbtgw2mw2KooRtoygKCgsLUVtbi29+85uYM2cO6urqsHr1auzevRs1NTWw2Wy92j9Fr+2Jtu1krqCCfBlebwtUVYXNJlD45Qm55iVvaCJX/j0yCvNlWGUBReFJlqg/09RmOEvsAALDUdrGgYJ7ZNxX0ggAcLk0vPNOC/LvkbH8hcixhYk5ESUDXRLzPXv2hP6taRpOnz6N06dPh23b29uLfr8fjz32GMaNG4ecnBy8/vrrYdtVVFSgtrYWTqcTjzzySOjxZcuWoby8HBUVFXj44Yd71QfqmUgn2kDlBBk+nzuUwL/5v35ckWvGlj874DqnwjFIwt92teDN//XhX+aYeJIl6udUVYXP50ZRoRXznQ64PYHyqkeP+nFfSSOOHPWH2j6zVEHNukwIETm2EBElA10S8y1btuix2XZWrlyJuro6vPbaa3jxxRfDttE0DevXr4fNZsPChQvbPVdaWop169Zhw4YNWLx4MccfxkHYE21GoI5523JmmtqMu+4IlFVcWaFg2DAJp06pmDo1nSdZohQSiAlNUBQBs0nA2yxwycUZuGl2ersE/KbZ6UhPA+67Nw3znVZ4mjRkDBCdYkuicOVSIoqWLon5yJEj9dhsyIcffojnnnsOCxYswFe+8pWI7Y4dO4bTp09j6tSpnYarWCwWTJw4EVu2bMHx48eRk5Oja58poOOJVlE6n6hUVUVLSxPuu9eG0getaGzUkJkp4PUGHk/0SZaI4qttQhvpy73XG0jA/X6BQY6BqK+vT3gSzBWMiaindJn8qafW1lY8/vjjuPTSSzF//vwu2x4/fhwAIibdl1xySbt2FD+apkFV1bAnTkmSkJY2AGuqfLhhhgs35LlwwwwX1lT5kJY2AJKUdB9bIoqRQPLdBEVpgNnkgaI0wO+/8IU9GFOMkJRbLHasrWrFtDwXbsirx7Q8F9aua4XFYmccI6KwdLliHvThhx9i/fr1OHjwIFwuF2bOnIlHH30UALB//34cOnQIt912GwYOHBj1NpcvX44PPvgAL7/8MtLS0rps63YHhjxkZGSEfT74eLBdR1lZWSkVPB0OR6K7AABobtZQUdkcdsU/IYCS4kxYrfEdemSU94YCUu3Y7Ao/m+El+n0xYhyLh+iOzS/i0hcynq6Oy54ds8b6DMUy3uiWmK9cuRJLly5Fa2srgMAYO5fLFXre6/WirKwM6enpmDdvXlTbrKurw/Lly1FSUoLx48fr0u+2GhoadN+HUTgcjnZ/n0QRQsBmy4q4WMi6ai8efMAa19vURnlvjCaRiU8qHZtd4WczvES/L4mOYzw2yagiHZeJPmb7Kpq+R3tc6nLJafPmzfjNb36DESNGoLy8HLt27eoUfK6//no4HA5s3rw56u0+9thjGD16NBYvXhxVe7s9UAEkUr3y4OPBdpR4PVmIiIjIiBjHiKi3dLlivmbNGthsNlRWVmLUqFFh2wghMGbMGBw7dizq7dbV1QEAvva1r4V9/t/+7d8AAOXl5Zg1a1ZoDHmkfQTHlgfbUeK1XYgo3EktuFgI65gTkVExjhFRb+mSmB8+fBjXXHNNxKQ8aNiwYfj73/8e9XbvvvvusI/v27cPx44dQ15eHgYNGhSqCpOTk4Ps7GwcOHAAiqK0q8zi8/mwb98+ZGdnMzE3kGgXIkr0xC4iokgYx4iot3RJzP1+P2Q5/FLKbZ07d67bCZxt/eIXvwj7+OOPP45jx46htLQUX//610OPCyEwd+5clJeXo7y8vN0CQytWrEBDQwMWLlzI24kGE81CRPES/GwEaxATUfJJRB1xI8UxIkoeuiTmo0ePxqFDh+D3+2EymcK2URQFtbW1uOyyy/ToQojT6cTWrVtDK4COHz8edXV12L59O3Jzc+F0OnXdP/VctAsR6alt/eFz51RkZGSx/jBRkklkHXEjxDEiSj66TP686aab8Pnnn2Pp0qUR2yxduhSNjY24+eab9ehCiM1mQ1VVFYqLi3HkyBGsWrUKH330EYqLi1FVVdVp4SEyhu5qFeupY/3hb81wsf4wUZIxQh3xRMYxIkpOQtPhvp6iKJg7dy6OHDmCCRMmIC8vD0899RQmTZqEm266CZs3b8Y777yDcePG4eWXX0Z6enqsuxATyVy6p6eSvVRRLJnTBuCNN/woX94Ml6v94bGg1IqiQjP8/qYE9c44ElmSjZ/VAB634TkcDjS6z2NtVWvYMd56HceJGDITjtGPzanT+cUkVe34S/gvxD2NZUb7DEV6XW0ltFyizWbD2rVrMXXqVOzfvx9PP/00AGDv3r34xS9+gXfeeQdTpkzBiy++aNiknFKPJEkwmwdAtqThhm+lY9OfHFj2jB1jx1wYjlVd44Usp3FeApHByZa0iHXEY30cS5IEk3kAbLYstLZmwGbLgsnEVYqJqOd0W2Bo8ODBWLlyJWpra7Fz5058+umn8Pv9uOiii3D99dfj6quv1mvXRD0WvO1dUelFdY0nNFEr/x4ZayozcV9JI44c9YfqD5tNnAxKZGTR1BGPxXEcKXYEJnnaOZ6ciHpEt8Q8KDc3F7m5uaHFfDIyMvTeJVGPCcmKikpvp+Wzl78Q+Pl7D9vw8PfdrD9MlCTiVUc8UuwI/lxUaAXAoW9EFB1d77Nt27YNTqcT3/jGNzBp0iRMmjQJEyZMCFVKITICIUSXt71rXvJiypQ0OByC9YeJkkSwjng4sTqOu4sdHPpGRD2lyxVzTdPwxBNP4LXXXgsFvszMTGiaBrfbjf/f3p2HNXXlfQD/hkUWiQiKtbKoVYMI7opYrQsy6rgvVTuuFFHr3tat1T5d5p1RX0urRWxxqYoUfFWqY19HX0Cl4gIGFFtH0Q6KBISiRZZAZM19/2CSkiYoSoCEfD/P02fk3Jt7T87cc+4v5557zqVLl3D58mVMnjwZW7ZsYaNFTaouy2fn5yux/B0bTJ1ixfmHiYxAY8wjXpe2g0PfiOhFNEhgHhYWhuPHj6Ndu3ZYtmwZJkyYoB7CUlxcjFOnTuHrr7/GyZMn0b17d/j7+zdENojqpC7LZ7dzMsOE8eYcL0pkJBpjHvG6tB0c+kZEL6JBhrIcPXoUNjY2iIiIwFtvvaUxrtzOzg5vvfUWIiIiYG1tjaNHjzZEFojqrOby2brMnWONp6UVqKzk/MNExqSh5xF/XtvBoW9E9KIaJDDPysqCj48PXF1da93H1dUVPj4+yMrKaogsEL2Q6sfe1li6xAatxNVDq1qJRVi6xAaBATYQlNpzIRORcRAEAUqlskEC5Ge3HdYQBLYdRFR3DTKUxdHREZaWls/dz9LSskkXQiBSedZjbysrERQK9pQTkbbGGDJDRKajQXrM/fz8cPXqVRQWFta6T0FBAa5evQo/P7+GyALRC6vtsTcR0bM09JAZIjIdDRKYv/vuu3BxccGCBQuQkJCgtT0hIQEBAQFwcXHBe++91xBZIHpp+nrsLRKJYGZmxlmHiEyEPofMsP0gMk0NMpRl2bJlsLS0xK1btxAQEAB7e3t06NABAJCTk4OCggIAQO/evbFs2TKNz4pEIoSFhTVEtogahZmZGURmNrC2soRcroRYbPafF8CesgeNiJ6J7QeRaWuQwFwqlar/LQgCCgoK1MF4TTdu3NBKY+8AGTMuz01EL4vtBxE1SGB+7ty5hjgsEUQiEUSi6sU6DHEKMi7PTUQvo3roii3bDyIT1yCBubOzc0MclkyYMTze/X157mKd2yMiS7E40AEKBVcBJKJqNds2AIiI1L0iKdsPItPQIC9/EumT6vHuofBKDPfNxzDfAgz3zceh7yphZSWGmZlhXMZ1XZ6bw7WICNBs2wICi/DoMdsPIlNnGBEN0TPUHB6iummpHu/u218KkcimiXNYreby3LqoludmbxcRAZpt2wNZFRwd2X4QmboGGcpCpC/GNDyk5vLcNceIqnB5biJS+WPblp8vIDGxArP/Yo3QPWw/qHkaOqK2oad5jZoPQ8bAnAxaXYeHWJg3fWAOqJbnFgOo/tGgOauCNcrKdI8fJSLToqtt2/6VAmH7WwEAIg+z/SAyRQzMyaDVHB6iKzhXPd5VKJo+KAe4PDcR1Y2utu1+ehUWBBTh3VW2OB/rgKdPBdjZidh+EJkQjjEng1ZzeIguhvh4l8tzE9Hz1Na23U+vwqr35Ig4/BQtWlSx/SAyMewxJ4NnrMNDDHWudSIyDM9q2+bOrm7b2IYQmRYG5mTwODyEiJojtm1E9EcMzMkoVN+gSqBQiGBhLoJCwd5oIjJ+bNuIqCYG5mRUODyEiJojtm1EBPDlTyL6A5FIVL1MOFcYJDIYrJdEpoE95kQEoHp5cJGZDaytLCGXKyEWm/1nxpunHOtK1ERYL4lMC3vMiQxYY/WSmZmZwcpKjEPhlRjum49hvgUY7puPQ99VwspKDDMzNhVEDe2P9Z31ksj0sMecyADVtZdMJBJBJBLVe3yqyMwG+/aX4pvdvy8FXiQX1H/Pn2sDoOSlj09kzPRVz2pTW30XiUSsl0Qmhj+3iQxMXXrJzMzMYG7REra29qistIOtrT3MzVu+VA+aSCSCtZUlIiJLdW6PiCyFtbUlx7aSydFnPXvWOXTV96NRlbC2tmC9JDIxRtVjXlRUhODgYNy8eRNZWVkoLCyEg4MDOnfujDlz5mD06NFajVRxcTF27tyJmJgYPH78GE5OThg9ejRWrlwJOzu7JvomRLV7Xu+1/3wbWFhYYN/+UkREFv9hwSXxC89/LBKJIJcr1cuC/1GRXIC8WAkLcxFnjSCToQqY9VXPalNbfT/1z3JMHG/FeklkYoyqxzw/Px/ff/89bGxsMGrUKAQEBGDYsGFIS0vDqlWr8PHHH2vsr1AoMHfuXBw8eBCdO3eGv78/unTpgoMHD2Lu3LlQKBRN9E2IdKtL77VIZKG+katu2qrAfd/+UohENi90TkEQIBaboZVYd89bK7EIYjsz3vzJpNQMmPVRz3Se4xn1/bc8JVq1Yr0kMjVG1WPu4uKCpKQkWFhoZru4uBizZs3C0aNHMX/+fHTr1g0AsG/fPqSmpiIwMBDr1q1T7x8cHIxdu3Zh3759WLVqVaN+B6JneV7vtbkFYGkpembgvjjQAQpF3XvRBEFAaVkF5sy21ui1U5kz2/o/49sZAJBp+D1gLta5/WXqWW3nqa2+5+cLSEhkvSQyNUbVY25ubq4VlAOAnZ0dhg4dCgDIyMgAUB1sHDt2DLa2tli+fLnG/kuWLIG9vT2ioqLYqJFBeV7vdSc3c8iLhec+3n7RcaeC8ikCA6yxdImN+tytxCIsXWKDwABrCIJ2YEDUXNV1eFd9x3c/r77v2afAooU2rJdEJsSoAvPalJWVITExESKRCF27dgUAPHjwAI8ePUK/fv1ga2ursb+VlRUGDBiA3NxcdSBPZAhq9l7rMmKEJcRikd4fbyuVSpSVyTF/rgUunHdAfFxrXDjvgPlzLfQ2lpbIWDTW8K7n1fehQ1qgoqKC9ZLIhBjVUBaVoqIihIWFQalUIi8vD/Hx8cjJycGKFSvQqVMnAL/3nKv+/qOOHTuq96ttH6KmUN17LQZQ/ci85ktnc2dbo6y0skEeb1ff5EugUIhgYS6CQsElwsk0NebwrmfV98AAa3UAznpJZBqMNjAPCQlR/21paYn169cjICBAnSaXywGg1plXVOmq/XSxt7c3qQUcHBwcmjoLBqspymbh2zZYssgG8mIBYjsRKisBa2sRrK3NsGihBUQi4LuI32/kc+dYIzDABlZWIgAtGj2/jcnU6uazsN7qpo9yWbTQstHqWe313V5v52gMdaubeY2SF6LGos922CgDcxcXF9y9exdVVVXIycnB6dOnsX37dqSkpGDHjh06x6G/jMLCQr0cxxg4ODggPz+/qbNhkJqybEQiEczNRCgpqe4lK/3PO59mZmaYN8cGixY6QF6shNiuekGS0tIiKBSN83i7KQNCU6qbz8J6q5u+yqWx61lt9f1FsW4SNa66tDd1rZdGGZirmJubw8XFBYsXL4aZmRk+//xzHD16FLNnz4ZYXP1osLhY91v1qnTVfkSGqLaVBjnshKjhNXY9a6iVRYnIeDSbZ8GqWVmkUimA38eQP3jwQOf+qjHoqv2IjJEgCFAqlbyZEzUg1jMiaizNJjDPzc0FUN2LDlS/9NmuXTtcv35dayGhsrIyJCcno127dgzMiYiIiMggGFVgnpqaqvNlzYKCAmzfvh0AMGzYMADVY/VmzJgBhUKBXbt2aey/e/duFBYWYsaMGfWeh5aIiIiISB+Maoz58ePHERUVhUGDBqFDhw6wsbFBdnY2fvzxRygUCowZMwYTJ05U7x8YGIjz58+rVwD19PTEnTt3EB8fDw8PDwQGBjbhtyEiIiIi+p1RBeZjxoxBcXExbty4gaSkJJSWlsLe3h79+/fHlClTMH78eI0ecFtbW4SHhyMkJATR0dGQSqVo27Yt/P39sWLFCq2Fh4iIiIiImopI4NsstTKlacg47VrtjKVsRCIRRCJRo83s0JRTshnD/x+NwViuzcZmaOXCuqlp6AiuWErNy6Ufnz8y3CSmSySi6rmWRWY2sLayhFyuhFhs9p9VCZ9yyW6iJsS6SUQvyqhe/iQiTWZmZrCyEuNQeCWG++ZjmG8Bhvvm49B3lbCyEnN1TKImwrpJRC+DPeZERkxkZoN9+0vxze6n6rQiuaD+e/5cGwAlTZQ7ItPFuklEL4M/2YmMlEgkgrWVJSIida/bHRFZCmtrS04JStTIWDeJ6GUxMCcyUiKRCHK5EkVy3S+TFckFyIuVvPkTNTLWTSJ6WQzMiYyUIAgQi83QSqz75t5KLILYzozLiBM1MtZNInpZDMyJjJQgCCgtq8Cc2dY6t8+Zbf2fGSB48ydqTKybRPSy+PInkRETlE8RGCAGUD1utUguoJVYhDmzrREYYI2yMnkT55DINLFuEtHLYGBOZMSUSiXKyuSYP9cGiwMdIC9WQmxXPVdyWZmccyUTNRHWTSJ6GQzMiYxc9Q2+BAqFCBbmIigUjbO6IBE9G+smEb0oBuZEzURjLfdNRC+GdZOI6oovfxIRERERGQAG5kREREREBoCBORERERGRARAJHPhGRERERNTk2GNORERERGQAGJgTERERERkABuZERERERAaAgTkRERERkQFgYE5EREREZAC48mcz9fPPP2Pnzp24ceMGKioq0LVrVyxYsAATJ058oeMUFxdj//79iImJQWZmJiwtLeHq6opRo0ZhxYoVDZT7hqWPsikqKsKBAwdw9uxZZGVloUWLFnBxccHUqVMxY8YMWFlZNeA3oOYsNzcXZ86cQXx8PO7fv4/ffvsN9vb26NevHwIDA9G7d2+tzxQXF2Pnzp2IiYnB48eP4eTkhNGjR2PlypWws7Nrgm/ROPbu3YugoCAAwJEjR9CnTx+tfUy1bEj/eL29vNjYWERGRuL27dt4+vQp2rZtiz59+mDdunV49dVX1fux/DhdYrN09epVLFy4EJaWlhg/fjzEYjFiYmKQlZWF9957D++8806djpOdnY0FCxYgMzMTr7/+Ojw8PFBeXg6ZTIbs7Gz87//+bwN/E/3TR9kUFRVh2rRpyMzMRP/+/dG7d2+Ul5cjPj4eMpkMPj4+OHDgAMzM+ECKXlxQUBD27t0LNzc3DBw4EG3atEFGRgbOnj0LQRDwxRdfYNy4cer9FQoFZs+ejdTUVAwZMgQ9evTAnTt3cPHiRXh4eCAyMhK2trZN+I0axr179zBlyhRYWFhAoVDoDJRMtWxI/3i9vRxBEPDJJ5/gyJEjcHNzw9ChQ9GyZUs8evQISUlJ+PzzzzFgwAAALD81gZqViooKwc/PT/Dy8hJu3bqlTpfL5cL48eOFHj16COnp6c89TmVlpTB9+nShV69eQkJCgs7zGBt9lc2ePXsEiUQibN68WSO9rKxMmD59uiCRSASpVKrv7JOJiI6OFpKSkrTSk5KSBE9PT8Hb21soKytTp3/11VeCRCIRtm3bprG/Kv2rr75q8Dw3NlX79Oabbwpr164VJBKJkJKSorWfKZYN6R+vt5cXFhYmSCQS4bPPPhMqKyu1tteMJVh+1dil18wkJiZCJpNhwoQJ6NGjhzrdzs4Oy5YtQ2VlJY4fP/7c40RHR+PmzZsICAiAj4+P1nYLC+MbBaWvssnMzAQADB8+XCO9RYsWGDJkCAAgLy9PjzknUzJ69Gh1D1JNAwYMwKBBg1BQUIC7d+8CqO6NOnbsGGxtbbF8+XKN/ZcsWQJ7e3tERUVBaGYPRvfu3Ys7d+5g8+bNMDc317mPqZYN6R+vt5dTWlqKXbt2wdXVFRs3btRZdqpYguX3OwbmzYxUKgUADB06VGubKmhU7fMsp0+fBgCMHTsWOTk5OHz4MPbs2YMzZ86gpKREjzluPPoqm27dugEALl68qJFeUVGBK1euwNraGn379q1vdom0qG5iqv998OABHj16hH79+mk94rWyssKAAQOQm5uLjIyMRs9rQ/nll18QEhKCpUuXquuiLqZYNqR/vN5e3uXLl1FQUAA/Pz8oC7QldgAAGxNJREFUlUrExMRgz549OHz4sFY5sPx+Z3zdnvRMDx48AAB07NhRa5u9vT0cHBzqdGH/61//AgBcu3YNW7ZsQXl5uXqbo6MjduzYgUGDBukn041EX2UzY8YMnDx5Evv378e//vUveHl5oaKiAhcvXkRhYSG++OILvPLKK/rOPpm47OxsXLlyBU5OTpBIJACgvl47deqk8zOqaz0jI6PWfYxJZWUlPvjgA3Tp0gWLFy9+5r6mVjakf7ze6kcVR5ibm2PSpElIT09XbzMzM4O/vz82bNgAgOVXE3vMm5ni4mIAgFgs1rndzs4Ocrn8ucdRDcX429/+hgULFuDChQtISEjARx99BLlcjuXLl+PRo0f6y3gj0FfZWFtbIzw8HJMmTYJUKsX+/fsRHh6uHibTr18/veabqKKiAuvXr0d5eTnWrl2rfiSsul5rm61AlV6X69oYhIaG4u7du9i8eTMsLS2fua+plQ3pH6+3+lHFEQcOHICdnR2OHTuG69evIyIiAp06dcL+/fsRGRkJgOVXEwNz0kk1jmvEiBFYu3Yt2rdvD0dHR8ybNw/+/v6Qy+WIiopq4lw2jSdPnuDtt9/GTz/9hD179iA5ORmXL1/GZ599huPHj2PmzJkoLCxs6mxSM6FUKrFx40YkJSVh5syZmDJlSlNnqUncuXMHoaGhCAgIgKenZ1Nnh5o5Xm/1p4ojLC0tsWvXLvTq1QstW7bEgAEDEBwcDDMzMxw4cKCJc2l4GJg3M8/7VVlcXFxrj7Gu4/j6+mptGzlyJIDfH1MZC32VzdatW5GSkoLg4GAMHz4cYrEYbdu2xcyZM7Fu3TpkZmYiLCxMr3kn0yQIAj766CP88MMPmDRpEj777DON7arrVfU06I+e95TImGzYsAGurq5YuXJlnfY3pbIh/eP1Vn+qe66Xl5fW8M5u3brB1dUVMpkMRUVFLL8aOMa8mVGNvcrIyICXl5fGtsLCQuTn59fpxcTOnTsjPz8frVq10tqmSisrK6t/hhuRvsrmwoULaN26Nbp37661TTWDza1bt+qfYTJpSqUSmzZtwvHjxzFhwgRs3bpVa2581bhL1fsTf6Qat6nrvQpjc+fOHQBAz549dW6fNWsWAGDXrl3w8/MzqbIh/eP1Vn+vvfYagNqDaVV6aWkpy68GBubNzMCBA7F7925cunQJ48eP19h2+fJlAIC3t/dzj+Pj44Pr168jLS0No0eP1tiWlpYGAHB2dtZTrhuHvsqmvLxc/V+LFi00tj158gQAtNKJXkTNoHzcuHHYtm2bzqnGOnXqhHbt2uH69etQKBQasxmUlZUhOTkZ7dq1axY3szfffFNnenJyMh48eABfX184Ojqq2yVTKhvSP15v9aeaIOL+/fta2yoqKiCTyWBrawtHR0c4OTmx/FSaaP50aiAVFRXCqFGjBC8vL+H27dvq9JqL6Ny/f1+dnpeXJ6SlpQl5eXkax5HJZIKXl5cwePBg4ddff9U4zuTJkwWJRCJcuXKl4b+QHumrbAICAgSJRCJs375dI72srEy9LTw8vGG/DDVbVVVVwgcffCBIJBJh1apVz13My9QX5diwYQMXfKFGw+vtxajuiUePHtVIDwkJESQSibB27Vp1GsuvmkgQTGC2dhOTmJiIwMBAWFpaYsKECbCzs1MvO//uu+9i6dKl6n137tyJkJAQrFixQmssXXh4OP72t7+hdevW+NOf/oQWLVrgxx9/xMOHDzFr1iz89a9/beyvVm/6KJvU1FTMmTMHJSUl6NWrF/r164eysjJcunQJmZmZ8PT0xOHDh2FlZdUUX5GMnOq6s7W1xfz583Uu5uXn5wcPDw8A2stYe3p64s6dO4iPjzeJZaw/+OADnDhxok5LpJta2ZD+8Xp7MTKZDG+99Rby8vIwYsQIvPbaa7h9+zYSExPh7OyMI0eOwMnJCQDLT4VDWZohHx8fREZGIjg4GGfOnEFFRQW6du2K1atXY9KkSXU+zrx58+Ds7Ixvv/0W//znP1FVVYWuXbvinXfewcyZMxvwGzQcfZSNh4cHjh8/jt27dyMxMREREREwNzeHm5sbVq5ciYULFzIop5f28OFDANU3qdDQUJ37ODs7qwNzW1tbhIeHIyQkBNHR0ZBKpWjbti38/f2xYsUKk7iR1YZlQ42J15s2Nzc3fP/99wgODsbFixdx+fJltG3bFnPmzMHy5cvRpk0b9b4sv2rsMSciIiIiMgCcLpGIiIiIyAAwMCciIiIiMgAMzImIiIiIDAADcyIiIiIiA8DAnIiIiIjIADAwJyIiIiIyAAzMiYiIiIgMAANzIiIiIiIDwMDchGRlZcHd3R3z5s1r6qwAAHx9feHu7t7U2SCiJnLq1ClMmzYNvXv3hru7O3x9fZs6S0RGgffP5suiqTNARESm5+eff8a6detgZWWFIUOGoFWrVnBwcHjp4/n6+uLhw4e4e/euHnNJRDW5u7vD2dkZ58+fb+qsNFsMzImIqNHFxcVBqVTio48+wptvvtnU2SEiMggcykJERI3u119/BQC4uro2cU6IiAwHe8wJAHD16lUsXboUABAaGgpvb28AQHZ2Nvbt24dLly4hJycHtra2cHV1hZ+fH/z9/WFtbQ0AyMjIwA8//IBLly4hKysLhYWFcHR0hI+PD5YuXYrOnTvXO487d+5ESEgItmzZgi5duiA4OBg//fQTlEolevfujdWrV6NPnz46P3v37l3s2bMHUqkU+fn5aN26Nd544w0sX74cLi4utZ6na9eu2LVrF27cuIGCggL84x//gIeHR615PH36NL799lv8+9//hp2dHYYPH441a9YgKCgIJ06cwKFDhzBo0KB6lwWZnqysLIwaNQre3t745ptvsGPHDsTGxuLJkydwcXHBrFmzMH/+fJiZafa3lJSU4MCBA4iOjoZMJoO5uTl69OgBf39/+Pn5PfMcISEhiImJQW5uLmbPno1NmzYBAJ48eYIDBw4gLi4OWVlZsLCwgLOzM0aMGAF/f/9nDkk5fvw4PvzwQ/Xf8+fPV/97y5YtmDZtGh49eoSTJ0/iwoULyMjIQH5+Puzt7dG3b18sXrwYvXr1Un/m6tWrGseoOe6Wj9xJpbnUn+f58ccfER0djRs3biA3NxdKpRJubm4YN24cAgIC0KJFC52fS0lJwcGDB3Ht2jUUFBTAwcEBEokEkyZNwuTJkzXq7cOHDzXqmbe3N8LDw9V/5+Tk4JtvvsHFixfx+PFjiMVi9O/fX6vuqty7dw+hoaFISUlBbm4uWrZsiVdeeQXe3t5YtGgR2rVrp7H/i9zPjREDc8LZs2fx/vvvo2XLlti7dy+8vLwAAElJSVi6dCnkcjlcXV0xatQoPH36FGlpadi+fTsmTJigrgTHjh3D3r170bVrV3h5ecHKygppaWk4efIkzp07h4iICHTv3l0v+U1JScHHH3+Mjh07YtiwYcjIyMCVK1eQlJSE3bt3Y8iQIRr7R0dHY82aNaioqICnpyf69u2LzMxMHD9+HOfPn8d3332Hbt26aZ0nKSkJH3/8MTp16oQhQ4bg0aNHEIlEtebr4MGD2LJlC8zNzeHt7Q0HBwdcvnwZV69e5Us6pDfl5eWYP38+MjMz4ePjg4qKCiQkJGDLli24e/cutmzZot73t99+w4IFC5CWloZXXnkFr7/+OkpLS3Hjxg0sX74ca9asweLFi7XOUVpairlz5yI7OxsDBw6Ep6cn7O3tAQBpaWkICAhAbm4unJyc8MYbb6Cqqgrp6ekIDQ3F66+//swfn25ubpg6dSquXbsGmUyGoUOHwsnJSb0NAM6dO4egoCB07NgREokEdnZ2kMlkiI2NxY8//ojQ0FAMHToUANC2bVtMnToV0dHRUCgUmDp1qvpc9QlwqHky9vrzPJs2bYJCoUC3bt0gkUhQXFyMmzdvYvv27UhISMD+/fthbm6u8ZmDBw9i69atEAQBPXv2hLe3N/Ly8nDr1i2kp6dj8uTJ6np74sQJ2NraYsyYMerPv/baa+p/3717FwsWLEB+fj5ee+01jB49GtnZ2YiNjUVcXByCgoLw5z//Wb3/rVu3MHv2bJSVlaFXr17o1asXSkpKkJmZiUOHDsHPz08jMH/Z+7lREchkZGZmChKJRJg7d6467fvvvxc8PDyE4cOHC/fu3VOnFxQUCD4+PoJEIhEOHDggKJVKjWNJpVKhqKhI/XdKSoqQkZGhdc6oqChBIpEI8+bN09o2cuRIQSKR1Dn/wcHBgkQiESQSifDll19q5CkiIkKQSCTC0KFDhdLSUnW6TCYTevfuLfTv31+QSqUaxztx4oQgkUiE6dOn13qePXv21ClvMplM8PT0FHr27CkkJSWp00tLS4XFixerj5eYmFjn70tUk6r+SiQSYeLEiUJeXp56W0ZGhjB06FBBIpEIZ8+eVacHBgYKEolE2LZtm1BeXq5Ol8lkgp+fn+Dh4SGkpqbqPMesWbOEwsJCjTxUVFQIY8eOFSQSibB161aNYwqCINy6dUvIycmp0/fZsGFDrXXizp07GvlSiY+PFzw9PQU/Pz+tNulF2xMyLc2t/tR2vcfGxgolJSUaaXK5XFiyZIkgkUiEEydOaGyTSqWCu7u70K9fP626WFZWJsTHx2ukSSQSYeTIkTrzpFQqhQkTJggSiUT44osvNOromTNnhO7duwt9+/YVHj9+rE5XtQPR0dFax0tLSxNyc3PVf7/M/dwYcYy5CTtw4AA2btwINzc3HD58WONX79GjR/HkyROMHDkS/v7+Wj3FAwcOhFgsVv/dp08fdW9XTdOnT0e/fv0glUohl8v1km9nZ2esXLlSI0+zZ89G79698ejRI8TGxqrTDx06hKdPn2LdunUYOHCgxnGmTJkCPz8/3Lx5E7du3dI6j0QiQWBgYJ3yFBUVhYqKCkyZMgUDBgxQp1tZWWHTpk1aj0eJ6mPDhg1wdHRU/+3m5oZly5YBACIjIwEAqampiI+PR9++fbF27VpYWlqq93d1dcWGDRtQVVWFqKgonefYtGkTWrVqpZEWExOD+/fvw93dHevWrdM4JgD06NED7du3r/f3c3d31/mE7Y033sDYsWMhk8nwyy+/1Ps8ZJqac/3x8/ODra2tRpqdnZ16GMq5c+c0tu3ZsweCIGD58uVaPfUtWrTAG2+8UedzX716Fb/88gtcXFywevVqjXv02LFj4efnh5KSEhw/flydnpeXBwDw8fHROl6XLl00esvrcz83JhzKYqK2b9+O0NBQeHp6Yt++fRqNFAAkJCQAAGbNmlXnY5aUlCAuLg6pqakoLCxEZWUlAODx48cQBAEymQyenp71zvvo0aNhYaF96Y4fPx4//fQTrl27hgkTJgAArly5AgAYNWqUzmP1798fZ8+exc2bN7XyNnLkyGcOXakpJSUFADQe0am4ubnBw8PD6BsLMgytW7fWGq4FABMnTsSnn36K69evQxAEXL58GUD1ta/rOu7fvz8A4ObNm1rbnJyc0LNnT610Vbswc+bMBv+xWV5ejvj4eNy8eRNPnjxBRUUFAKgD8oyMDA4RoxdmCvXnwYMHuHDhAmQyGRQKBQRBgCAI6m0qVVVVkEql6jzVV3JyMgBg3LhxWsNlAGDy5MmIiYlBcnKyegiQp6cn4uPjsX79eixbtgxeXl61lk197ufGhIG5Cbp+/TqkUimcnJxw6NAh2NnZae2Tk5MDADp7wXVJSEjA+++/jydPntS6T0lJyctl+A86dOigM93Z2RkA8OjRI3Xaw4cPAUBnQ1xTfn6+Vtqrr75a5zypzllbb0eHDh0YmJNe1Hb929nZoVWrVigqKkJxcbH62g8KCkJQUFCtx9N17dd2DlW70NAzqdy9exdLly5Vfwdd9NWekGlpzvVHEAT893//Nw4ePKgOxP+oZr3Jz89HaWkp2rRpozMOeFGq+6DqXvxHuu7RgYGBuHbtGuLi4hAXFwexWIzevXtjxIgRmDp1qka+6nM/NyYMzE1Qly5dAFTf/IKDg7Fx48Z6Ha+kpATvvvsuCgoKsGzZMkyYMAEdOnSAtbU1RCIR1qxZg1OnTtXaUDSkqqoqiEQiTJky5Zn76XpZxMrK6oXPV1sPe1N8dzI9Na+zqqoqAMCAAQOeGQjoekHyedd+XZ8kvQxBEPDuu+/i4cOHeOutt/CXv/wFLi4uaNmyJUQiEb788kvs3r2bdYr0ztjrz+nTp3HgwAG0b98eGzduRJ8+feDo6AhLS0uUl5fr7MVviPw873g1t9vZ2eHQoUPq4FwqlSIhIQGXLl3C7t27ERkZqe4grM/93JgwMDdB9vb2+Oqrr7BgwQKEhYXB3NwcGzZs0Njn1Vdfxf379yGTydSBfG2Sk5NRUFCAMWPGYPXq1VrbMzMz9Zr/7OzsZ6bXHJPWvn17yGQyfPTRR3rpEaiNk5MT0tPTkZOTg06dOmltV/WUENVXbdd/cXEx5HI5bG1tYWdnp356M2bMGI3pBOtD9RRJJpPp5Xi63L9/H/fv34eXlxc+++wzre36bk/ItDTn+qN6v+rTTz/FyJEjNbbpqjcODg6wtrbGb7/9huLi4nrfI1X33qysLJ3bVT3eqlmYVEQiEQYMGKB+P+vJkyf4+9//jlOnTuHLL7/Ejh07ADTe/byp8Y00E+Xo6IiDBw+iW7du2L9/v9ajusGDBwMAjhw58txjFRUVAdA9jCMjIwO3b9/WQ45/FxMTo+7NqOn06dMAgH79+qnTVN/j7Nmzes3DH6nO+X//939a2zIzM5Gamtqg5yfTUVBQoB5rWdOpU6cAAH379oVIJMLrr78OQL/Xvqo+HTt2rMF6rAsLCwHobk8KCwt1fncA6hfpVO+2EOnSnOuP6l6saxjmmTNntNJUU/uq8lQXlpaWtdYxVWB9+vRpnffoH374QWO/2jg6OmLFihUAoPGSd2Pdz5saA3MT1qZNG4SFhaFLly7Yu3cvtm/frt42Y8YMODg4IC4uDt99951WI5KcnKyeZUXVQ6xarEGlqKgImzZtUr+0VVfr16/H2LFjNWZXqenhw4cICQnRSDty5AhSUlLg5OSEP/3pT+r0gIAAWFtbY8uWLToXGikoKEBERARKS0vrlLfY2FiMHTsW69ev10ifNm0aLC0tceLECVy/fl2dXlZWhr///e9QKpV1Oj5RXWzbtk1jHGVmZia+/vprANUzFAHVMyUNHjwYV69exebNm7XGZCuVSly6dEn9wlZdjB49Gp06dcKdO3cQFBSkdYNOTU1Vr+gJAD///DPGjh2LBQsW1PkcHTt2hJmZGRITEzVeVCsrK8Mnn3yCgoICnZ9T9dalp6fX+Vxkmppr/VHdi48cOaJxz05OTsa3336r8zOLFi2CSCTC119/rfVdKioqcPHiRY20du3aIS8vT/0joKZBgwZBIpEgKysLwcHBGnk4e/YsYmNjYWtrq7HWwOHDh3X25sfHxwPQ/JGh7/u5oeJQFhOnCs7nzZuH0NBQmJubY9WqVWjdujV27NiBZcuW4b/+678QFhYGT09PlJaW4t///jeysrJw7tw5iMVi9OzZE0OGDMHly5cxZswY9S9wqVQKBwcHjBo1SmuKpmfJyclBenp6rdMrzpw5E3v37kVsbCzc3d2RkZGBmzdvwtLSEps3b1avRgpUN1Sff/451q1bp16BtEuXLhAEAdnZ2UhLS0NFRQUmTpyo8bnayOVypKenaz2K69ixI9577z1s27YNc+fOxaBBg9C6dWtcv34dZmZmGDlyJOLi4rSmxyJ6UX369EFFRQXGjBkDHx8flJeXIzExEU+fPsWkSZM0ViMMCgpCQEAAwsLCcPLkSXTv3h2Ojo7Izc1Feno6njx5gg8//PC5PVgqFhYW2LlzJwICArBv3z788MMP6Nu3r3qBlHv37uHQoUPq3u6nT58iPT0d5eXldf5+bdq0wZtvvomjR49i8uTJ8PHxgZWVFa5du4aqqipMmzZNY7o1FV9fX0ilUvj7+2PQoEGwsbGBg4MD1q5dW+dzU/PXnOvPvHnzcOLECURGRkIqlcLd3R25ubm4du0a3n77bezfv1/rM97e3li3bh22bduGOXPmoFevXnBzc0NeXh7u3LkDW1tbjSDY19cX4eHhmDp1Kvr27QsrKyt07twZgYGBEIlECAoKwvz58xEaGorY2Fh4eHggOzsb169fh4WFBTZv3qxx//yf//kffPrpp+jatSu6dOkCc3NzpKenIzU1FdbW1uqec0D/93NDxR5zUs/O0qlTJ+zatQu7du0CUD2v6MmTJzFr1ixUVVXh7NmzuHHjBtq0aYM1a9ZoVK6vv/4a77zzDhwdHREfH49bt25h3LhxOHLkiNZcrvXVt29fhIeHo23btoiLi8O9e/cwePBgHDp0CMOGDdPaf/To0ervUVlZifj4eEilUpSXl2PixInYvXu3xpzsL2vhwoX48ssv0b17dyQnJyMxMRGDBg3CkSNHUFZWBqB6qi6i+mjRogXCwsIwfvx4pKSk4NKlS2jfvj02bNiArVu3auzbtm1bHD16FB9++CE6duyImzdv4uzZs/j111/Ro0cPfPzxx5g0adILnV8ikeAf//gHAgICYGtri7i4OCQlJaFFixZYunSpXqYw/PTTT/HBBx/AxcUFCQkJuHbtGgYPHozvv/++1hkv5s2bh6VLl8LW1hYxMTGIiopSD28jUmnO9adz586IiorCyJEjkZ+fj/Pnz0OhUOCvf/2r1ntkNS1cuBDh4eEYNWoUsrKyEB0djfv378PT0xPvvfeexr7vv/8+5s6di6qqKpw5cwZRUVG4cOGCeru7uztOnDiBmTNnQqFQIDo6Gunp6fDz88Phw4e1phRevXo1pk+fDpFIhISEBMTFxeHp06eYNWuW+odLTY11P29KIoGvtpOR2LlzJ0JCQrBlyxZMmzatqbNTZwqFAr6+vigrK0NycrLO+V2JnicrKwujRo2Ct7c3wsPDmzo7REaF9YeMBXvMifQkMzNTa/hNSUkJPvnkE+Tn5+PPf/4zg3IiIiKqFceYE+nJmTNnsHPnTnh6eqJ9+/YoKirC7du3kZ+fD2dnZ7z//vtNnUUiIiIyYAzMifTEx8cHqamp+Omnn5CamgpBEPDqq69i6tSpWLRoERwdHZs6i0RERGTAOMaciIiIiMgAcIw5EREREZEBYGBORERERGQAGJgTERERERkABuZERERERAaAgTkRERERkQFgYE5EREREZAAYmBMRERERGQAG5kREREREBoCBORERERGRAfh/N8cx9SxAz2IAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(d.loc[:, ['kcal.per.g', 'perc.fat', 'perc.lactose']])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.12" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'correlation')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAosAAAGvCAYAAAAzP5+qAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzde3gU5fk38O/kBGgOLJhFWWJQAqIiSDjIOUoiKgeVKD+pxaKvUiwQAtZWWygqh1+0vlSBQIXaUoqiiCVSbSkJIEnlLUR2IxipRlKOAUKQGFjlsFnm/WPdkGRPs7Ozu8/sfj/X5RWZnZ2Z3dmFO/fz3PcjybIsg4iIiIjIjZhwXwARERERiYvBIhERERF5xGCRiIiIiDxisEhEREREHjFYJCIiIiKPGCwSERERkUcMFomIiIjIIwaLRERERORRXLgvINLU19cH/RwpKSloaGgI+nnIf7w3YuJ9ERfvjZh4X8Sl9b0xGAw+92FmUYdiYnjbRMV7IybeF3Hx3oiJ90Vc4bg3/DQQERERkUcMFomIiIjIIwaLREREROQRg0UiIiIi8ojBIhERERF5xGCRiIiIiDxisEhEREREHgnblHvTpk0wm82orKxEVVUVbDYbCgoKkJub63b/vXv34o033oDFYsF3330Hk8mE0aNHY+rUqWjbtq1f5963bx+WLVuGzz77DDabDRkZGZg8eTLGjRunxUsjIiIi0g1hg8UlS5agpqYGBoMBRqMRNTU1HvctLi7G7NmzERMTg1GjRiE1NRUWiwUrVqzArl27sGbNGiQkJCg67+7du/Hkk08iPj4eY8aMQVJSEoqLi/Hss8+ipqYGTz/9tFYvkYiIiEh4wgaLCxcuRHp6OkwmE1atWoXFixe73e/ChQuYN28eJEnCO++8g169egEAZFnGggUL8Pbbb+PPf/4zfvrTn/o8Z2NjI+bOnQtJkvD222/jlltuAQBMnz4dEydOxLJly3Dvvfeia9eumr1OIiIiIpEJO2dxyJAhMJlMPvezWCyor69HdnZ2U6AIAJIkYdasWQCAd999F7Is+zzWrl27cOTIEYwdO7YpUASAxMRETJs2DY2Njdi4caOKV0PkH7tdhqVCRsk2x0+73ffnl4iIKBiEzSwqdfr0aQBAly5dXB5LTk5GSkoKampqcPToUVx//fVej1VeXg4AGDZsmMtjQ4cObbEPUbCUlsl4fZmMuror21JTgVl5QNYIKXwXRkREUUnYzKJSHTp0AAAcO3bM5bFz586hoaEBAHDw4EGfxzp06BAAID093eWxlJQUGAwGHD58OICrJfKutEzGnHktA0UAqKsD5syTUVrGDCMREYWW7jOLffv2RWJiIrZt24b9+/e3GD5esmRJ0/+fO3fO57GsVisAICkpye3jiYmJOHnypNdjpKSkICYm+DG4wWAI+jlIHbX3xm6XsXT5twDcB4SSBCxbLmHc2PaIjWWG0V/8zoiL90ZMvC/iCvW90X2wePXVV+P555/H3Llz8cgjj+Cee+5BamoqKioqUFlZiRtvvBH//e9/QxLAAWjKZAaTwWBAfX190M9D/gvk3lgqZNTWes4cyjJwsvYydpTWI7Mvg0V/8DsjLt4bMfG+iEvre6Mk8NT9MDQATJgwAatWrcLtt9+Obdu2Yd26dYiNjcWf//znpiFl53C1N4mJiQA8ZyGtVqvHrCNRoL45o+1+REREWtB9ZtEpKysLWVlZLtt/+ctfIiYmBrfeeqvPYzhb4hw+fLhFZTXgyBjW19ejb9++mlwvUWsdff8+49d+REREWoiIzKInZrMZNTU1GD58uKKM4IABAwAAn3zyictjO3fuBAAMHDhQ24sk+kGf3o6qZ2+MRsd+WmGLnuDhe0tEkSIiMotWq7VpCNmptrYWc+fORVxcHPLz81s8ZrPZcOTIEcTHx7dopzN48GCkpaXho48+wk9+8hPcfPPNTcdfsWIF4uLiMH78+OC/IIpKsbESZuU5qp49yZ8haVbcwhY9wcP3logiiSQr6VYdBhs2bIDZbAYAVFVV4YsvvkBmZmbTHMScnBzk5OQAAFasWIG//e1v6NevHzp27IgTJ05g27ZtuHDhAhYtWuQS4B07dgzZ2dkwmUzYvn17i8d27dqFp556CvHx8Rg7diwSExNRXFyMY8eOYdasWfjZz37m9bpDMSE42iYe2+0y9u5zzNXr2MGRWRO1GliLe+Mu0DAaHYGiVoGGs0WPJ4vma3cuEYTyOxNt722gou3vM73gfRFXOApchM0sms1mFBUVtdhmsVhgsVgAACaTqSlY7Nu3Lz799FN8/PHHOHv2LNq3b4+srCxMmTKlRSsdJQYNGoR169Zh6dKl2Lx5M2w2GzIyMpCfn4/7779fmxdHikVjhiZrhIRhQxG0ANlud7yn3iwplDFsqLhBuaj43hJRJBI2s6hXzCxqR48ZGj3cG0uFjJmzfX/tl74mRUyLnlDdl2h8bwOlh+9MNOJ9ERdb5xD9QGmGhkUD/mOLnuDhe0tEkYjBIglp7z64LHnX2qlTjv3IP2zREzx8b4koEjFYJCExQxM84WjREy343hJRJGKwSEJihiZ4HC16vM+X07JFTzThe0tEkYjBIgmJGZrgyhohYdF8yeU9NhrFLBzSE763RBRphG2dQ9Et1A2qo1GwW/REM763RBRJGCySsBwZGgS9QXU0i42VkBkhy52L1rw9kt5bIopuDBZJaMzQkBKemrfPnC4jJUXChYsX0baNzM8OEZEKDBZJeMzQkDeemrfX1QG/eREAZABWAJG/+g8RUTCwwIWIdEtJ8/bm6uoc82BLy9jMnYhIKQaLRKRbSpq3u8PVf4iIlGOwSFHHbpdhqZBRss3xk0GDfqltys7Vf4iIlOOcRYoqngohOI/NfyJUHwfSlJ2r/xARKcNgkaKGt0KIOfNkLJrPgFEpUYJuZ/N2NUPRXP2HiEgZDkNTVFBSCBHp89i0Gn53Bt2tA7RwFI8oWV7PHa7+Q0SkHDOLFBWUFEI457FFYpserTKBSoPuYUNDNyTtqXm7N1z9h4hIOQaLFBWUzk+LxHlsWg6/ixp0u2ve3tAgY+ly6HL1HxHmgxIROTFYJEX0/o+X0vlpkTaPTetMoMhBt2vzdgkjhjs+txcuXo22bb7TxedWlPmgRERODBbJp0j4x0tJIUQkzmPTOhOot6DbGUAaDG1QX/99uC/HJxZhEZGIWOBCXolUzBAIJYUQkTiPTetMoDPo9iYSg+5QYBEWEYmKwSJ5FGn/eDkKISSXYMdoBBbNF38emxpaZwKjNegOBX+ywEREocRhaPJI1GKGQLgrhNDDPDa1gjH87qn6WC/FI6ISeT4oEUU3BovkUaT+4+VaCBG5HJlAuJ0H56QmExhtQXco6G0+KBFFDwaL5BH/8YoMwcoERlPQHQrRWoRFROJjsEge8R+vyMFMoPiClQUmIgoUC1zIIxYzRBZHJlDC3dmOnyLeN62WJNSraCzCIiLxMbNIXrGYgUIlVP08RW8wzywwEYmGwSL5xH+8xCV64KNUqJpR66XBPOeDEpFIGCySInr9xytSgil39BL4+KL1koSecHUUIiJ1GCxSxIqUYMqdSAp8QtHPM1QBKRFRJGKBC0WkSFmm0J1IW1knFP08zZZGro5CRKQSg0WKOJEWTLUW7GXhQl2RHIp+nnWnLyvaT28N5omIQoHD0BRxRFmmMFjzJYOZiQvG0L2v9yEU/TxTr1H2ezEbzBMRuWKwSBFHhGUKgzlfMliZuGDMg1TyPoSiGXW/zDg2mCciUonD0FEkWhoeh3uZwmDPl3Rm4rzxN/AJxtC9P+9DsJtRs8E8EZF6zCxGiUiuDG4tnMsUhqLqNhiZOK2H7tW8D8Hu58kG80RE6jBYjAKR1GZFiXCusetP1W0g8yW1Dny0HrpXG3wGu58nG8yrE8n9SonINwaLES5a+8uFK4sUyqpbLQMfrYfuRZg36oleG8yHSzSNShCRewwWI5wolcHhEI4sUqirbrUKfLQeug/3vFHSRrSNShCRe8IGi5s2bYLZbEZlZSWqqqpgs9lQUFCA3Nxct/sfOnQIK1euhNlsxsmTJ5GSkoKMjAxMmjQJ2dnZis87cuRI1NTUuH3skUcewfz581W9nnAROcOjNU9DZaEMgvVadav10H04542SNqJ1VIKIXAkbLC5ZsgQ1NTUwGAwwGo0eAzgA2Lt3L37yk5+gsbERI0eOxKhRo/DNN9+gpKQE06ZNQ15eHmbMmKH43ElJSZg8ebLL9l69eql6LeEULRkeUYbKnFW34ZgvGSgth+7DOW+UtBHNoxJE1JKwweLChQuRnp4Ok8mEVatWYfHixR73LSwsxIULF7BixYoWWcS8vDyMGzcOf/jDH/DTn/4UCQkJis6dnJyMvLy8gF+DCPSW4VEzkV60oTI9V91qOXSv1fvA4orwiKZRCSLyTthgcciQIYr3PXr0KCRJwvDhw1ts79y5M7p3746KigpYrVZ06KDz9JkKesrwqMkOijpUpueqWy2H7gN9H0TJGPsSiQFttIxKEJFvwgaL/ujevTsOHjyInTt34q677mrafuLECXz99dfo0aOHX4HipUuXUFRUhNraWiQnJyMzMxM9e/YMxqWHhB4yXWqzgyIPlbHq1kHt+yBaxtiTcAa0wQxS9TYqQUTBExHBYn5+PsxmM/Ly8jBy5Eikp6fjzJkzKCkpQefOnfH666/7dby6ujo8//zzLbYNHz4cv/3tb30GnSkpKYiJCf7COAaDwa/9H3wAGDdWdvQBPH0ZqdfEoF9mnBDZD7tdxtLl3wJwnyGUJGDZcgnjxrZ3ud4LFy8CsPo8x4WLV8NgaKPB1frm770hV4F8JjwJxn0p2XoRc1+wQm51madPA3NfkPHa/70ad+dc+dzZ7dp9B0u2XkTBb79Hbe2Vdk2dOsXgV7+8qsU5AzHn+YuY/azj+9X8NUo/XPKvn0vENdcEfi5+Z8TE+yKuUN+biAgWMzIysH79euTn52PLli1N21NSUvDQQw+ha9euio+Vm5uLgQMHIiMjAwkJCaiurkZhYSHKysowbdo0vPPOO5Akz3+5NzQ0BPJSFDEYDKivr1f13O4Zjv8A4OxZDS8qAJYKGbW1noeSZRk4WXsZO0rrkdm35Xvfto2y5efatvkO9fXfB3SdSgRybyKBVpmuQD4T7gTjvtjtMha9LLsEis7rA4D/fcWKvrd/h9hYyUsG0v/svqesa23tZcz6uRWL5n+nSVazfz9g4UuS2+vOnyGhf7/vA/5eRft3RlS8L+LS+t4oCTwjIlj8/PPPMW3aNHTv3h0bN27EjTfeiNOnT2PdunUoKCjAnj17UFhYqOhYraum+/Tpg5UrV2LSpEkwm80oLS3FnXfeGYRXEb0CmUjPoTJxaDkcq4fiCn+mQJw7p92Qeqjn6ep5/i0RaSP446VBZrPZMHv2bEiShOXLl+PWW29Fu3btkJaWhueeew6jR49GSUkJdu3apfocMTExTf0dLRaLVpdOPwhkIr2zVY03ohTwRDJnpqt18OQMhkrLlGWAnfRQXKE0UK07rSy4s9uVvUf+BKlaccw7lXB3tuMnv09E0UX3weJ///tfHD16FH369EG7du1cHh80aBAA4IsvvgjoPM407fnz5wM6DrlyZge98ZYddBTwSC7HMBqBRfPFKOCJZEozXUqDISDwz0QoKA1Uv/1Wm+DObpdhqZCxQ2HgzZY2RKQV3Q9D22w2AMCZM+7/ZnRuV9pj0ZN9+xx/k5tMpoCOQ660aO/DobLwCUZFuh5aPimdAtG+vbLjeQvu3A3x+8KWNkSkFd1nFnv06IGkpCRYLBZ88sknLR6rra3FunXrAAADBw5s2m6z2VBdXY0jR4602P/AgQM466bqY8+ePVi9ejUSEhIwatSoILwK0iI7yKGy8AjW/MJwZ4ydmbySbY6frTOjSqdApF6j7Do9BXeehvi9CXfWlYgii7CZxQ0bNsBsNgMAqqqqmraVl5cDAHJycpCTk4OEhAQ899xzmDt3LqZMmYKsrCx069atabk/q9WKH//4x7jpppuajl1bW4vRo0fDZDJh+/btTds3b96MN998E4MHD4bJZEJCQgKqqqqwc+dOxMTE4KWXXkLnzp1D+C5EF71kByOxAXMggjm/MFyfCaXFOkp6mNrtsuoiLCVD/O7kTXO+ZzI/o0QUMGGDRbPZjKKiohbbLBZLU4GJyWRCTk4OAGDChAno0qUL1qxZg71796KsrAzt2rVDz549MWHCBDz44IOKznnHHXeguroa+/fvR3l5OS5duoSOHTti9OjRePzxx9G7N39VDzbRG1nrZUWRUAp2RXqoPxP+NgP3FdAGMqSuZIi/OaMRyBkJLF0O1NVdOV+0f0aJKDCSLLvrEkZqhaIvFftfhSe75ymIcHryCeCmmxLRts13UZfJ8fXehLvQSOl3xm6X8fBE70O+RiOw4R3/pzm4+0XD1ypKJdtkvLTA91/RueOBO0dIaGiQ8ZsXPe8X7vvgDv8+ExPvi7jYZ5G8cgZIFy5eRNs2ctQFJE7hyO4pGQ7842rAuZpMtGVy9LCkpBLBXD5SzZC60qH7O0dI6NMbeHii9/3CsU46Eekfg0WdaBkgRWdAAoRvvWB/hwNFW784FPQy59SbYDcD93dI3Z8hfpHXSScifdN9NXQ00LrhsV4Fo5+fr/M5q2HNFnXH1PJ69EDvFemiNQP3p+m8Hla9ISJ9YmZRcKFe2ktkocycqOlrF8zroZaCNWdVxOUjlQ7xixboElHkYLAoOA4tXRGqzImvYg1/MZOjrWDOWRW1GbiSIX4RA10iigwchhYch5auCEXmRG1fO2+YydFOKKZkhLsZuCe+hvi5TjoRBQszi4Lj0NIVocic+FvI4gszOdoJ5ZQMvRbrREpVOhGJhcGi4CJ1aEnNnLNQDBEqzdBOfgzo2lXCsWPyDy1zgnM9dEWop2R4qlwWfQUfvQa6RCQuBouCE3UOVSACmXMW7MyJ0gxtv0zHUCAg4cYb/G+2TP4TYUqGXlbwCcWqN6IHzUSkHa7gorFgdbxXs/qDiLRa6SNY/1CpXcHjSsP0q6NyBZdQsFTImDnb919XS19zBvJXaLHigeir1ISS56DZ9T3w9V3lSiFi4n0RVzhWcGGwqLFgfrn0HpAEcyk1LQUSFPAv2OAJ5PMT6H3Ry2c3FPz5figJKvmdERPvi7jCESyyGlpHnNWQY+5ro8uGx/7MOQsnUatho104q3318tkNNn8a43MxAaLIwTmLFDIizDlTKlhFApznFZhwVfvq6bMbTEqD5orPZLy+zPt+zsp1IhIfg0UKGb21AdK6SEAvxRHuiBTkhqPaV2+f3WBRGgxXfKYsqHx/o4y0tIto20bmL05EAmOwSCETqW2AlPA0z8s5JLdovrgBo4hBbiiqfZuL5s9uc1oHw8uWA4AVQPg/U0TkGecsUshE6woT/szzEk2w5p3Z7TIsFTJKtjl+ivjam4vWz25rzqDZG6MR6Hu7/8fmXEYicTFYpJCKxuIRvRZHBCvILS1zVBbPnC3jpQWOnw9PFD9IiMbPbmtKg+a+t7u+T0qJ+osTUTTjMDSFXLStMKHX4ohgrJii5+F4IPo+u+4oLTLytZiAJ1quwkNE2mCwSGER6jln4aTX4gitg9xQru0cTFp/dkUqHlJKSdDsKahUQrRfnIiiHYNFoiDTa3GE1kFuqNd21gMRi4eUUhI0tw4qz5yRfyhq8U60X5yIoh3nLBIFmV6LI5QWMygNcvU6HB8soW5aHa6iIudiAndnS3g41/dcRhF/cSKKdgwWiUJAj8URWge5eh2OD4ZQV8iLUlSk11+ciKId14bWWCjW0uSaneLydW9CNT9Ny/O4GypVs2JKONdXFu07Y6lwBGy+LH3NkZULRCBrnQeLVp8pCh7RvjN0RTjWhuacRaIQCkVhj9bz4LSqAHZklbxXyEZLVilUQ/KiFhU1/0xduHg12rb5TheFPUTRisEiqabHKs5IF6zWNFoFueFa21k0oRqSF7moyPmZMhjaoL7++9CenIj8wmCRVPGUvZo5XUZKisQAMgxEzSK1xl6FoauQV5qZ3PHD3MVouw9EpAyDRfKbt+zVb14EgCuP6aUNSCQQOYvUWjT12XQnVEPySjOTG4uAjUUyv69E5BarockvSrJXzXG919Bhaxp9CUWFvJL2R83x+0pE7jCzSH5Rkr1yR4ThT28iYf4lW9PoT7CH5JVkMN0R/ftKRKHFYDECBRr4eHu+2qyUKMOf7uh5FY3m9LpSTLQL9pC8mmX3RP6+ElHoMViMMIEGPr6eH0hWSsThz2BVD4cDW9OQJ80zmDvKZGws8v0cEb+vRBQenLMYQQJdPkzJ8/2dA9XcoUOhXWbMl1CvohEKelwphkLDuezenQo/A5yuQEROzCxGiEDbpih/vmO5Ln/nQAHAmrXAmrXiVFzqqXrYH2xNQ95wugIR+YuZxQjhT+AT6PM9Za+UEqXiUpTqYbvdkXEt2aZd5tWZRbo72/GTgSI5cX1mIvIXM4sRItDAx9/nu8teNTTIWLpcebV0uCsuRagejpTiGtIXrqRDRP5gsBghAg181DzftYpTwojhjkpqs0XGmrXejxXuId5wD8dFUnEN6U80TFeIhJZYRCJgsBghAg18tAqcnAGkIwPpezg1nBWX4awe1svSfBTZInklHWbtibTDOYsRItB5SFrPYxJhiFeJcFUPBzrHlEhEwZh/q+bcq9dcDqgzBBG1JGxmcdOmTTCbzaisrERVVRVsNhsKCgqQm5vrdv9Dhw5h5cqVMJvNOHnyJFJSUpCRkYFJkyYhOzvbr3Pv27cPy5Ytw2effQabzYaMjAxMnjwZ48aN0+KlBU2g85C0nMcU7iFef4RjOE6U4hoirYQzk+fu3N4ozdpzGJvIQdhgccmSJaipqYHBYIDRaERNTY3Hfffu3Yuf/OQnaGxsxMiRIzFq1Ch88803KCkpwbRp05CXl4cZM2YoOu/u3bvx5JNPIj4+HmPGjEFSUhKKi4vx7LPPoqamBk8//bRWLzEoAg18tAqc9NYgOtTDcXrJvBIpEc75t57O7Y2S+dIcxia6QpJlWch8/P/7f/8P6enpMJlMWLVqFRYvXuwxszhlyhSUlZVhxYoVLbKIx48fx7hx49DY2IhPP/0UCQkJXs/Z2NiI++67DydPnsT69etxyy23AACsVismTpyIgwcP4u9//zu6du3q8Rj19fXqXrAfDAZDSM6jBXd/4UZyxaXSe2O3y3h4ovdMiNEIbHhHnIBaz3zdF2aQ1Av0sxzI32dKzu3JC79xtJZyx1cAGg0N7vX070y00freGAwGn/sIm1kcMmSI4n2PHj0KSZIwfPjwFts7d+6M7t27o6KiAlarFR06eE/T7Nq1C0eOHEFubm5ToAgAiYmJmDZtGmbPno2NGzfimWee8e/FRLFoqLhUQ2+Z10jGDFJgwtncXsm5PfGUtWfxGZGriChw6d69O2RZxs6dO1tsP3HiBL7++mv06NHDZ6AIAOXl5QCAYcOGuTw2dOjQFvuQcmwQ7R6X5gu/QJfIpPDOv1V7TG/zpVl8RuRK2MyiP/Lz82E2m5GXl4eRI0ciPT0dZ86cQUlJCTp37ozXX39d0XEOHToEAEhPT3d5LCUlBQaDAYcPH9by0inKMfMaPswgaSOc82/VHtNb1p7FZ0SuIiJYzMjIwPr165Gfn48tW7Y0bU9JScFDDz3kdY5hc1arFQCQlJTk9vHExEScPHnS6zFSUlIQExP8hK2SOQYUHmruTfbIIFwItdD6vpR/akNd3Vmvzzl1CvjvwSQMHBAfzEvTtTuzZHTq9C1OnboMdzPgJQnoZIzBnVntPQZoav8+83Xu1q7tFIPnf3kV7s5p43Gfruk2AN4/F479kmAwRPbngv/OiCvU9yYigsXPP/8c06ZNQ/fu3bFx40bceOONOH36NNatW4eCggLs2bMHhYWFIbmWhoaGoJ+DE4/FxXsjJnf35dBhZUPMhw6fQ/cMZha9mTldxpx57h+TZSBvuoyzZ791+3ig3xlv5waAJ58AunSRfsjay4iN/R719d973P/GG2RFbb9uvOEc6usj93PBv8vEFY4CF93PWbTZbJg9ezYkScLy5ctx6623ol27dkhLS8Nzzz2H0aNHo6SkBLt27fJ5rMTERADAuXPn3D5utVo9Zh2Jgi2cDY8jEdsXaSec8299nfuJyTF+zZfWeoECokig+8zif//7Xxw9ehSjRo1Cu3btXB4fNGgQ/vGPf+CLL77AoEGDvB7LOVx9+PBh9OrVq8VjDQ0NqK+vR9++kbU2FluG6AMrdrWnp8bxehDO+bdan1vLBQqIIoHug0WbzQYAOHPG/Wxj53ZfPRYBYMCAAVi5ciU++eQTjBkzpsVjzkrrgQMHBnK5QmEAog/hbHgcydi+SHvhXGta63Oz+IzoCt0PQ/fo0QNJSUmwWCz45JNPWjxWW1uLdevWAWgZ5NlsNlRXV+PIkSMt9h88eDDS0tLw0Ucf4T//+U/TdqvVihUrViAuLg7jx48P4qsJHbYM0QelFbscklaH7YvIG7b9InIQNrO4YcMGmM1mAEBVVVXTNmefw5ycHOTk5CAhIQHPPfcc5s6diylTpiArKwvdunVrWu7ParXixz/+MW666aamY9fW1mL06NEwmUzYvn170/a4uDgsXLgQTz31FB599FGMHTsWiYmJKC4uxrFjxzBr1izccMMNIXwXgoMtQ/QjnA2PowUzSGLjVBmi8BM2WDSbzSgqKmqxzWKxwGKxAABMJhNycnIAABMmTECXLl2wZs0a7N27F2VlZWjXrh169uyJCRMm4MEHH1R83kGDBmHdunVYunQpNm/eDJvNhoyMDOTn5+P+++/X7gWGEQMQ/WDPt9AI5/ApecapMkRiEDZYfPnll/Hyyy8r3n/w4MEYPHiwon27dOmCr776yuPjvXv3xptvvqn43HrDAEQ/WLFL0YpzdYnEEVCweODAAbz55pv49NNPUVdX11Rs0pokSdi/f38gpyINMQDRD1bsUjTiVBkisagOFisqKvDEE0/gwoULAID27dvjqquu0uzCKHgYgOgHK3Yp1ESYIwAEU8AAACAASURBVMipMkRiUR0s/u53v8OFCxcwefJk/OxnP0P79u21vC4KIgYg+sKebxQqoswR5FQZIrGoDhYrKytx880341e/+pWW10MhwgBEX1ixS8Em0hxBTpUhEovqYDE+Ph7XX3+9ltdCIcYARF9YsUvBItocQb1NlRFh6J4omFQHi5mZmU39D0m/GIAQkWhzBPU0VUaUoXuiYFK9gsszzzyDkydP4k9/+pOW10N+sttlWCpklGxz/ORKHkTkLxHnCOphdR2uhEXRQnVmcf/+/cjNzcWrr76Kjz/+GEOGDMG1114LSXL/BfanMTYpw99oiUgLos4R9DRVBgAsFbKqYV+thoxFG7onCiZJlmVVv/r07NkTkiTB+XRPQaIsy5AkqcVay5Gsvr4+6OcwGAz4YNMZr0M0ovzmHW0MBkNIPgPkH94X7+x2GQ9PdM2QNWc0Ahve0X7o19974/mXZN9/5wXy3NYsFTJmzvb9z+fkx4B+mZLu5jHyOyMure+NwWDwuY/qzOL06dM9BogUXPyNloi0pJc5goFUbGtd7a10SH7NWmDNWpmjPqRrqoPFvLw8La+D/GC2NAo1GZ2I9E/0dlqB/JIcjF+w/R2S5zKFpGfCrg1NntWdvqxoPzasJSJ/iNxOK5CK7WBUeytp7+MOR31IjzQJFk+dOoWKigqcOnUKkiQhNTUVffv2hdFo1OLw1ErqNcqK2Nmwloj8JWo7rUAqtoNR7a1k6N4djvqQHgUULJ45cwYLFixAcXExLl9ume2KiYnBqFGj8Jvf/AYdOjBq0VK/zDhdNawlIgpUIBXbwar29jR07wtHfUhvVAeL586dw49//GMcPHgQbdu2xdChQ2EymQAAx48fx86dO7F582Z8+eWXeO+995CUlKTZRUc7x2+0kvCT0YmItBLIqi7BXBGm+dC92SJjzVrfz+GoD+mN6qbcq1atwsGDB3Hvvfdi+/btWL58OX7961/j17/+NQoLC7Ft2zbcd999OHjwIP7whz9oec0EfTSsJSLSivOXZG88/ZIcyHOVXltmXwn/53HXv5Nb46gP6ZHqPov33nsvLl68iOLiYsTHx7vdx2azYdSoUUhISMCWLVsCulC9CFWfRed5uCapWNibTEy8L+LSos+i0ortQJ7rz/VFQg9cfmfEpas+i8ePH8fdd9/tMVAEgPj4eGRmZqKkpETtacgHUSejExH5S8kvv4FUbIei2lv0FkREaqgOFtu2basosq2vr0fbtm3VnoaIiKKAP8uXBvJLcih+wRa5BRGRGqrnLN56660oLy9HZWWlx30qKytRXl6OXr16qT0NERFFOOfQbesCFGcj69IyVbOlwso5j/HubMdPBoqkZ6qDxccffxyNjY14/PHHUVhYiEOHDuHSpUu4dOkSDh06hGXLluGJJ56A3W7H5MmTtbxmIiKKEEpXV7Hb9RcwEkUK1cPQWVlZmD17NpYsWYLly5dj+fLlTWtFO2tmJEnCrFmzkJWVpc3VEhFRRBFh+VIWChJ5F1BT7qlTp2LIkCF46623YDabcerUKQCA0WhE//798eijj6J3b/YIICIi98K9fKk/cyWJolXAy/3ddttteOWVV7S4FiIiijLhXL7UU5sb51zJRfMZMBIBAcxZJCIiCpRz+VJvgtHImnMliZRjsEhERGET7NVVPNm7z/vyf8CVuZJE0U7xMHR2djYkScLq1auRlpaG7OxsxSeRJAlbt25VdYFERBTZwtHIWukcyGDNlSTSE8XBYk1NDQCgsbGxxZ+JiIgCFepG1krnQAZjriSR3igOFr/88kuvfyYiIgpEKJcv7dPbUfXsbSg6GHMlifSIcxaJiCjqhGuuJJEeqQ4WCwsLsW3bNp/7bd++HYWFhWpPQ0REFBSOuZKSSzW20Qgsmh+cuZJEeqS6z2JhYSHGjx/vs9Bl+/bt+Otf/4oZM2aoPRUREVFQhHquJJEeBdyU2xe73Y6YGI52ExGRmEI5V5JIj4IexR04cADJycnBPg0RERERBYFfmcVf/epXLf5ssVhctjnZ7XYcPHgQlZWVyMnJUX+FREREEcpulzkETsLzK1gsKipq+n9JknD48GEcPnzY63Nuuukm/PKXv1R3dURERBGqtEx2aUSemgrMyuOa1CQWv4LFv/zlLwAAWZYxefJkDB8+HFOmTHG7b3x8PIxGI0wmU+BXSUREFEFKy2TMmee67nRdHTBnnoxF85UFjMxMUij4FSwOHDiw6f/Hjx+Pfv36tdhGRERE3tntjoyiN0sKZQwb6j3wY2aSQkV1gUtBQQEefvhhLa+FiIgo4u3d533lGAA4dcqxnyfOzGTr4zgzk6Vl3oNRIn8EvXWOWps2bYLZbEZlZSWqqqpgs9lQUFCA3Nxcl31vuukmn8fbsWMHrrvuOp/7jRw50uO614888gjmz5/v++KJiIhacQ4Z71AYyH1zxvNx/M1McriaAhFQsHj+/HmsXr0a27Ztw+HDh/Hdd9+53U+SJOzfv9+vYy9ZsgQ1NTUwGAwwGo0eAzgAHht+Hz58GB9++CG6deumKFB0SkpKwuTJk1229+rVS/ExiIiInNwNGfvSsYP77f5kJjP7criaAqc6WDx37hweffRRHDhwALGxsYiPj4csy0hNTcXp06chy47fejp37qzq+AsXLkR6ejpMJhNWrVqFxYsXe9w3Ly/P7fYFCxYAACZMmODXuZOTkz0ek4iIyB+eilm8MRod2T93PGUc3e2nVSENRTfVcxZXrVqFr7/+Gv/zP/8Ds9mMe+65B5Ik4V//+hc+++wzvPzyy7jmmmvQp08fRWtItzZkyJCAKqkvXryIDz/8EPHx8XjggQdUH4eIiEgtJUPG7uTPkDwOE3vKOLZmaK9suNpu5/xG8k51ZnHr1q0wGo2YO3cu4uPjIUlXPtRt2rTBgw8+iF69euHBBx/EH//4Rzz11FOaXLBSxcXFaGhowD333IMOHRR+s35w6dIlFBUVoba2FsnJycjMzETPnj2DdKVERBSplAwZN2c0OgJFb9m+Pr0dw8jejms0On76M1xN5InqYPH48eMYPHgw4uPjAaApWLTZbE3bMjIyMHDgQHzwwQchDxbff/99AP4PQQNAXV0dnn/++Rbbhg8fjt/+9rc+A8+UlJSQrIVtMBiCfg5Sh/dGTLwv4orke3Ph4kUAVp/7/WhiG4zKaYN+mXGKCk/mPH8Rs591HFdulhh05m1+/VwiLtmg6NwXLl4Ng6GNy/ZIvi96F+p7ozpYbNOmDRISEpr+nJiYCAA4ffp0i2KSlJQUWCyWAC7Rf0ePHsXu3bvRuXNnDB061K/n5ubmYuDAgcjIyEBCQgKqq6tRWFiIsrIyTJs2De+8806LLGprDQ0NgV6+TwaDAfX19UE/D/mP90ZMvC/iivR707aNsiHewXdcQvcMG86eVXbc/v2AhS9JbgtX8mdI6N/ve1gqlJ27bZvvUF//fYttkX5f9Ezre6Mk8FQdLF577bU4fvx4059vvPFGAEB5eXnTHMHGxkZ8/vnnaN++vdrTqPLXv/4VsiwjNzfX7yxf68rqPn36YOXKlZg0aRLMZjNKS0tx5513ani1REQUqZQOGXsqZvEma4SEYUPhsSVOMM9N0UX1eGn//v3x9ddf49y5cwCAu+66C3FxcVi0aBHWrVuH7du3Y+bMmaipqcGAAQM0u2BfLl++jKKiIsTExOChhx7S5JgxMTFN/R1DnSUlIiL9io2VMCvP+7Cyt2IWJcfP7Cvh7mzHz+bHCfa5KXqoDhZHjx6Nnj17oqKiAgDQqVMnPPPMMzh79iwWLFiA6dOnY/v27ejYsSOeffZZzS7Yl3/96184efIkhgwZorptjzvONO358+c1OyYREUW+rBESFs2XkJracrvRCCya772YRc/npsihehi6f//+WL9+fYttTzzxBDIzM1FSUoKzZ8+ia9euyM3NDekwdCCFLd7s2+dYdymQdj5ERBSdfA0ZR+q5KTJovtxfnz590KdPH60Pq8iZM2fw8ccfw2AwYOTIkR73s9lsOHLkCOLj43H99dc3bT9w4ACMRiOSk5Nb7L9nzx6sXr0aCQkJGDVqVNCun4iIIpdjyDj6zk36J+za0Bs2bIDZbAYAVFVVNW0rLy8HAOTk5CAnJ6fFcz744APYbDY8+OCDLSq1W6utrcXo0aNhMpmwffv2pu2bN2/Gm2++icGDB8NkMiEhIQFVVVXYuXMnYmJi8NJLL2k6tE1EREQkOsXBYvPKZzX8DbLMZjOKiopabLNYLE0FJiaTySVYDHQI+o477kB1dTX279+P8vJyXLp0CR07dsTo0aPx+OOPo3dvlowRERFRdJFkWVbUiKlnz55e+wt6PYkkYf/+/aqeqzeh6EvF/lfi4r0RE++LuHhvxMT7Ii6h+yyGsv0NEREREYlBcbC4du3aYF4HEREREQko+IsYExEREZFuaRYsXrp0CadOncK3336r1SGJiIiIKMwCDhbXrVuHBx54ALfffjuysrLwyiuvND32j3/8AzNmzMChQ4cCPQ0REREpYLfLsFTIKNnm+Gm3K6pjJfJIdZ/FxsZGzJgxA6WlpYiPj0e3bt3w9ddft9inW7du2Lp1K2655RZMmzYt4IslIiIiz0rLZLy+TEZd3ZVtqanArDxwaT9STXVm8S9/+Qt27NiBO++8Ex9//DE+/PBDl31uuukmdOnSBWVlZQFdJBERkQhEztqVlsmYM69loAgAdXXAnHkySsvEuVbSF9WZxQ8++ACpqal47bXX0LZtW4/7paWlobq6Wu1piIiIhCBy1s5ud1ybN0sKZQwbyjWhyX+qM4uHDx9Gnz59vAaKABt7EhGR/ometdu7Dy7X1tqpU479iPylOlhMSEjA999/73O/48ePIykpSe1piIiIwkpp1i6cQ9LfnNF2P6LmVAeLPXr0wOeff+41a3j8+HHs378fvXr1UnsaIiKisAp11k7NvMiOHZQdW+l+RM2pDhYffvhhnDt3Dr/4xS/Q0NDg8vh3332HuXPnwmazYcKECQFdJBERUbiEMmtXWibj4YkyZs6W8dICx8+HJ/oe5u7T2zF/0huj0bGfN85A9e+bLwpXwEPho7rAZfz48dixYwe2bNmC7Oxs9OvXDwBQUVGBmTNnYvfu3WhoaMDYsWNx9913a3bBREREoRSqrJ1zXmRrznmRi+Z7LqSJjZUwKw9un++UP0PyWtzSsoDHCkCcAh4Kr4Cacr/++uv4+c9/jvj4eJSWlgIADh06hOLiYly+fBn5+fl49dVXNblQIiKicNAqa+eNFvMis0ZIWDRfcrlWoxFYNF/yGvCJXsBD4SXJshzwJ8But2P//v2oqanB5cuX0alTJ9x2221ISEjQ4hp1JRSV36wwFxfvjZh4X8Sll3vjKevn5CsY88VS4Rhy9mXpaxIy+3o/j90uY+8+x7B4xw6OINZbRtFudwx1e5uXaTQCG97xnpmk0ND6O2MwGHzuo3oYeuDAgejRowfeeustxMbG4rbbbsNtt92m9nBERETCcmTt4NJn0Wh0DO8GOkyr5bzI2FgJmX2Vn9ufAh5/jkuRI6Dl/jp16qTltRAREQkra4SEYUPhV9ZOqXBWM7PtDvmiOljs3r07Tp06peW1EBERCc3frJ1SznmRvoaCA5kX6Qnb7pAvqgtcJk2aBLPZjD179mh5PURERFHHUc3sPUM5bgywfQc0b2kTigIe0rfYF1988UU1T0xKSsL333+PV199FadPn0ZcXBwaGxtx/vx5nDt3zuW/aFnF5cKFC0E/R7t27UJyHvIf742YeF/ExXtzRdd0Cd1uBD6vBJovkJacDLRpA+zaDZSWAZu3AH/fDFx3reM5gYqJkXDdtcD2jz3v8+vnJNxwA4tbRKD1d6Zdu3Y+91FdDd2zZ09IkgRZliFJ3j9AkiRh//79ak6jO6yGjm68N2LifREX742r5tXMx47J+ONqz/sGWoXdXMs+iw5aFfCQdnRVDT1gwAC1TyUiIiIPnPMiHS1tvO+7pFDGsKHaFNk0L+C5cPFqtG3znWYFPKRvqoPFtWvXankdRERE1Ew4Wto4A1WDoQ3q67/3/QSKCqoLXGbMmIH58+dreS1ERET0A7a0IVGoDhZLS0s5z4SIiChI2NKGRKE6WOzSpQvOnz+v5bUQERHRD9jShkShOlgcM2YMysvLUedrQgURERH5TUnvxfwZXK+Zgk91sDh16lT0798fkyZNQklJCWw2m5bXRUREFPUca1JLLhlGo1HbtjlE3qiuhr733nshyzJOnDiBmTNnQpIkdOjQAW3atHHZV5IkbN26NaALJSIiikbBXJM6XJr3koyE1xPpVAeLNTU1Lf4syzJOnz4d8AURERFRS8Fak1qtQII9d82/U1OBWXlgplRQqoPFL7/8UsvrICIiIh0IJNgrLZMxZ57rwnF1dcCceTIWzWfAKCLVcxaJiIgoujiDvda1rc5gr7TM8wrCdrsjyPRmSaEMu13VKsQURAwWiYiIyCe1wZ7dLsNSIeNPf3YNMltzrkhDYlE9DO1UVVWFdevWwWw249SpUwAAo9GI/v3740c/+hF69OgR8EUSERFReKlZftDdkLUvXJFGPAEFi2vWrMGrr74Ku90OWb7ym0RDQwO+/vprbNiwAb/4xS8wefLkgC+UiIiIwsff5Qc9zU/0hSvSiEd1sLhz504UFBSgXbt2eOyxx/DAAw/AZDJBkiQcO3YMmzZtwrvvvouXX34ZPXr0wODBg7W8biIiIgohf5YfVDJk7Q5XpBGT6mBx9erViIuLwx//+EdkZma2eKxnz57o2bMnRo0ahUmTJuFPf/oTg0UiIiIdcy4/6G1I2RnsKRmydocr0ohJdYHL559/jgEDBrgEis317dsXAwcOxL59nK1KRESkZ/4sP+jvvEOuSCM21ZnF8+fPo0MH3znpDh064Pz5834ff9OmTTCbzaisrERVVRVsNhsKCgqQm5vrsu9NN93k83g7duzAddddp+jc+/btw7Jly/DZZ5/BZrMhIyMDkydPxrhx4/x+HURERCJS01jbsfwgXIpWjEZHoOgM9pQOWU9+DOiXKXEFF8GpDhavu+46VFRUwG63IzY21u0+jY2NqKioUBykNbdkyRLU1NTAYDDAaDS6rBjT3IwZM9xuP3z4MD788EN069ZN8TXs3r0bTz75JOLj4zFmzBgkJSWhuLgYzz77LGpqavD000/7/VqIiIhEEkhjbSXLDyodsv4/j3PYWQ9UB4sjR47E6tWrMXfuXMyZMweJiYktHrdarVi0aBFOnDiBJ554wu/jL1y4EOnp6TCZTFi1ahUWL17scd+8vDy32xcsWAAAmDBhgqJzNjY2Yu7cuZAkCW+//TZuueUWAMD06dMxceJELFu2DPfeey+6du3q34shIiIShJJVVB58wPsxfC0/6BiyhtdqaM5P1A/VweLUqVNRUlKCDz74AFu3bsWIESPQpUsXAMCxY8dQWloKq9WKtLQ0TJ061e/jDxkyRO2lAQAuXryIDz/8EPHx8XjgAR+f+h/s2rULR44cQW5ublOgCACJiYmYNm0aZs+ejY0bN+KZZ54J6NqIiIjCQWlj7XFjA19FRemQNYlPdbDYvn17vP3223jhhRewY8cO/P3vf3fZ584778RLL72ElJSUgC5SjeLiYjQ0NOCee+5RNLcSAMrLywEAw4YNc3ls6NChLfYhIiLSG6WNtc2WRnTPcPxZzdxGJyVD1iS+gJpyd+rUCW+88QaOHj3qsoJLv379kJaWpslFqvH+++8DUD4EDQCHDh0CAKSnp7s8lpKSAoPBgMOHD2tyfURERKGmtEq57vRldM8IbG6jk68haxKf6mDx0qVLOH36NJKTk5GWluY2MLRarTh79iyuueYaJCQkBHSh/jh69Ch2796Nzp07N2UElbBarQCApKQkt48nJibi5MmTXo+RkpKCmJjgL7ltMBiCfg5Sh/dGTLwv4uK9CZ2u6TYAZ33ul3pNDPaYr8LcF6yQW41Inz4NzH1Bxmv/92rcndMmOBdKXoX6OxNQU+7XX38da9euRf/+/d3u8+WXX+Kxxx7Dz3/+czz11FOqL9Jff/3rXyHLMnJzc0MSuDXX0NAQ9HMYDAbU19cH/TzkP94bMfG+iIv3JrRuvEFWVKV8e59YjBp91iVQBNC07X9fsaLv7d9xSDnEtP7OKAk8VUdSW7duRZcuXTwGigDQv39/mEwmbN26Ve1p/Hb58mUUFRUhJiYGDz30kF/PdVZ0nzt3zu3jVqvVY9aRiIhIdEoba3+2165obuNerrkRFVQHi0eOHEG3bt187peRkYEjR46oPY3f/vWvf+HkyZMYMmQIOnfu7NdznS1x3M1LbGhoQH19vdv5jERERHrhqFKWkJracnvzVVTqTl9WdCx/V2ohfQpoBZerrrrK537t2rVrmgsYCmoKW5wGDBiAlStX4pNPPsGYMWNaPLZz504AwMCBAwO/SCIiojDyVaWceo2yXJLSlVpI31RnFq+77jpUVlb63O+LL75AautfX4LkzJkz+Pjjj2EwGDBy5EiP+9lsNlRXV7tkPAcPHoy0tDR89NFH+M9//tO03Wq1YsWKFYiLi8P48eODdv1ERESh4qhSlnB3tuNn87mH/TLjXDKPrRmNjgCTIp/qzOLQoUPxzjvvYO3atXjsscfc7vP222/jyJEjeOSRR/w+/oYNG2A2mwEAVVVVTducfQ5zcnKQk5PT4jkffPABbDYbHnzwQa/V17W1tRg9ejRMJhO2b9/etD0uLg4LFy7EU089hUcffRRjx45FYmIiiouLcezYMcyaNQs33HCD36+FiIhIT5xzG7kCCwEBBItTpkzB3/72N/zv//4v/v3vf+ORRx5BWloaJEnCkSNHsH79enz88cdITEzElClT/D6+2WxGUVFRi20WiwUWiwUAYDKZXILFQIagnQYNGoR169Zh6dKl2Lx5M2w2GzIyMpCfn4/7779f9XGJiIj0hCuwkJMky+4K45X59NNPMXPmTNTX10OSWn5oZFmGwWDA66+/jjvuuCPgC9WLULSAYKsJcfHeiIn3RVy8N2Jqfl8CWcGFtBeO1jkBreAyYMAAbNmyBevXr8euXbtw4sQJAI75jIMHD8aECRPCstQfERERaYMrsFBAwSIAJCcnY8qUKaqGmomIiIhIbKFd3oSIiIiIdIXBIhERERF5xGCRiIiIiDxisEhEREREHgVc4EJERETEFjuRi8EiERERBaS0THZp3p2aCszKA5t3RwAOQxMREZFqpWUy5sxrGSgCQF0dMGeejNIy1Wt/kCAYLBIREZEqdrsjo+jNkkIZdrvvgNFul2GpkFGyzfFTyXMoNDgMTURERKrs3QeXjGJrp0459vO2CgyHscXGzCIRERGp8s2ZwPfjMLb4GCwSERGRKh07BLaflsPYFDwMFomIiEiVPr0dw8XeGI2O/dzxZxibwofBIhEREakSGythVp73OYX5MySP/Ra1GMam4GOwSERERKpljZCwaL7kkmE0GoFF8yWvBSqBDmNTaLAamoiIiAKSNULCsKHwewUX5zC2t6Fob8PYFBrMLBIREVHAYmMlZPaVcHe246eSpf4CHcam0GCwSERERGETyDA2hQaHoYmIiCis1A5jU2gwWCQiIqKwcwxjt9xmt8sMIAXAYJGIiIiEwyUAxcE5i0RERCQULgEoFgaLREREJAwuASgeBotEREQkDC4BKB4Gi0RERCQMLgEoHgaLREREJAylS/sdOiTDUsHh6FBgsEhERETCcC4B6MuatcDM2TIensiCl2BjsEhERETCULIEYHOskA4+BotEREQkFE9LAHrDCungYbBIREREwskaIeH9dyUsfU3C5Md8788K6eDhCi5EREQkJOcSgI7KZ99ZQ1ZIBwczi0RERCQ0VkiHF4NFIiIiEhorpMOLwSIREREJjRXS4cVgkYiIiITHCunwYYELERER6ULWCAnDhjqqns0WGWvWet/fWSGd2dfxZ7tdxt59jkKYjh0cw9uxscozltGKwSIRERHphtoK6dIyGa8vk1FXd+Wx1FRgVp4jCCXPhA0WN23aBLPZjMrKSlRVVcFms6GgoAC5ubken3P06FGsXLkSO3fuRF1dHZKTk9GtWzc8+uijuO+++xSdd+TIkaipqXH72COPPIL58+erej1ERESkHaUV0h07OALFOfNcA0vn3MZF8xkweiNssLhkyRLU1NTAYDDAaDR6DOCcdu7cienTpwMA7rrrLqSlpaGhoQFfffUV/v3vfysOFgEgKSkJkydPdtneq1cv/14EERERBYWzQrp5prA1oxHodauMR37s/VhLCmUMG8ohaU+EDRYXLlyI9PR0mEwmrFq1CosXL/a474kTJzBz5kx06tQJq1evRufOnVs83tjY6Ne5k5OTkZeXp+q6iYiIKPgcFdJwmzF0yp8hofILoK7O+3B167mN1JKw1dBDhgyByWRStO8bb7wBq9WKF1980SVQBIC4OGFjYiIiIlLJU4W00Qgsmi8ha4SkeFUXrv7ime6jKFmW8c9//hPt27fH4MGDUVlZiU8//RSXL1/GzTffjEGDBiEmxr+Y+NKlSygqKkJtbS2Sk5ORmZmJnj17BukVEBERkVrNK6TdVTn7M7eR3NN9sHjs2DF8++23uO222/DCCy/g3XffbfH4Lbfcgt///ve49tprFR+zrq4Ozz//fIttw4cPx29/+1t06MBPExERkUicFdLuKJ3b2Kd3cK4tEug+WPzmm28AAPv370d1dTUKCgqQnZ2Nc+fOYeXKlXjvvfcwc+ZMvPfee4qOl5ubi4EDByIjIwMJCQmorq5GYWEhysrKMG3aNLzzzjuQJM8TYFNSUvzOZKphMBiCfg5Sh/dGTLwv4uK9EVMk3Zc5z1/E7GetAAC52fRF5z/nv34uEddc0yYMV6ZOqO+N7oPFy5cvAwDsNdrWBAAAF3tJREFUdjvy8/ObWuukpKRgwYIF+Oqrr7B3717s2bMH/fv393m8GTNmtPhznz59sHLlSkyaNAlmsxmlpaW48847PT6/oaFB/YtRyGAwoL6+PujnIf/x3oiJ90VcvDdiirT70r8fsPAlyW2fxfwZEvr3+x719d+H7wL9oPW9URJ46j5YTEpKavr/7Oxsl8fvuusu7N27F5WVlYqCRXdiYmKQm5sLs9kMi8XiNVgkIiIi8fia20ie6T5YTE9PR2xsLOx2e4vA0Sk5ORkAcPHixYDO44y8z58/H9BxiIiIKDy8zW0kz4RtnaNUQkIC+vZ13PkDBw64PO7cprQNjyf79u3T5DhEREREeqL7YBEAfvSjHwEACgsLcenSpabt1dXVKCoqwtVXX43hw4c3bbfZbKiursaRI0daHOfAgQM4e/asy/H37NmD1atXIyEhAaNGjQrSqyAiIiISj7DD0Bs2bIDZbAYAVFVVNW0rLy8HAOTk5CAnJwcAMGbMGBQXF2PLli24//77MWzYMFitVmzZsgUXL17EK6+8gpSUlKZj19bWYvTo0TCZTNi+fXvT9s2bN+PNN9/E4MGDYTKZkJCQgKqqKuzcuRMxMTF46aWX3Db9JiIiIopUwgaLZrMZRUVFLbZZLBZYLBYAjuFgZ7AoSRJ+97vf4a233sL777+P9evXIyEhAZmZmZg6dSoGDhyo6Jx33HEHqqursX//fpSXl+PSpUvo2LEjRo8ejccffxy9e7MJExEREUUXSZZl7wsmkl9C0Wog0loaRBLeGzHxvoiL90ZMvC/iCkfrnIiYs0hEREREwcFgkYiIiIg8YrBIRERERB4xWCQiIiIij4SthiYiIiJSy26XubSfRhgsEhERUUQpLZPx+jIZdXVXtqWmArPyHGtEt8bA0jsGi0RERBQxSstkzJnn2hWwrg6YM0/GovktA0Z/A8toxDmLREREFBHsdkfg582SQhl2u2MfZ2DZPFAErgSWpWVsRQ0wWCQiIqIIsXcfXAK/1k6dcuznb2AZzRgsEhERUUT45ozy/fwJLKMdg0UiIiKKCB07KN/Pn8Ay2jFYJCIioojQp7ejOMUbo9Gxnz+BZbRjsEhEREQRITZWwqw87xXM+TMkxMZKfgWW0Y7BIhEREUWMrBESFs2XXAJBoxFYNF9qaofjT2AZ7dhnkYiIiCJK1ggJw4bCZ6NtR2AJlz6LRqMjUGSfRQcGi0RERBRxYmMlZPb1vZ/SwDKaMVgkIiKiqKY0sIxWnLNIRERERB4xWCQiIiIijxgsEhEREZFHnLNIRERE1IrdLisqelG6n54xWCQiIiJqprRMdmmnk5oKzMpDi3Y6SvfTOw5DExEREf2gtEzGnHktA0AAqKsD5syTUVom+7VfJGCwSERERATHkPLry7wHeUsKZVy6dFnRfnZ7ZASMDBaJiIiI4GjM3TpT2NqpU0DRJmX77d2n3bWFE4NFIiIiIjiKVJSoOa7t8UTHYJGIiIgIjmpmJb6zans80TFYJCIiIoKj7U1qqu/9tpT43sdodBwvEjBYJCIiIoKjP+KsPG1a3owbA2zfAVgq9F/owj6LRERERD/IGiFh0Xy49E9UKjnZ8fOPqwHAESTqvfciM4tEREREzWSNkPD+uxKWviZh8mPKnjP5MeDJJ4CzZx3/Naf33osMFomIiIhaiY2VkNlXQteuyrKB118P/O0j7/votfcig0UiIiIiD5RWNH/7beT2XmSwSEREROSBkgppoxFo317Z8fTYe5HBIhEREZEHSiqk82dISL1G2XD1oUNyU4W03e74/5JtstBV06yGJiIiIvLCU4W00egIFLNGSLDbZaSm+h6KXrMWWLNWbqqabl4MI2rVNINFIiIiIh+yRkgYNtQx5/CbM465jH16OzKPgDMD6ah6VqJ1xTRwpWp60XyxAkYOQxMREREp4KyQvjvb8dMZKDo5MpCSolVgvBGtaprBIhEREZFG1PRobE20qmlhh6E3bdoEs9mMyspKVFVVwWazoaCgALm5uR6fc/ToUaxcuRI7d+5EXV0dkpOT0a1bNzz66KO47777FJ973759WLZsGT777DPYbDZkZGRg8uTJGDdunBYvjYiIiCKYIwPprHxWlyEUqWpa2GBxyZIlqKmpgcFggNFoRE1Njdf9d+7cienTpwMA7rrrLqSlpaGhoQFfffUV/v3vfysOFnfv3o0nn3wS8fHxGDNmDJKSklBcXIxnn30WNTU1ePrppwN+bURERBT5lPZo1Pq5WhM2WFy4cCHS09NhMpmwatUqLF682OO+J06cwMyZM9GpUyesXr0anTt3bvF4Y2OjonM2NjZi7ty5kCQJb7/9Nm655RYAwPTp0zFx4kQsW7YM9957L7p27ar6dREREVF0cPZo9HeNaaPR8VxRCDtncciQITCZTIr2feONN2C1WvHiiy+6BIoAEBenLCbetWsXjhw5grFjxzYFigCQmJiIadOmobGxERs3blT2AoiIiCiqKenR6E7+DNfimXASNrOolCzL+Oc//4n27dtj8ODBqKysxKefforLly/j5ptvxqBBgxAToywmLi8vBwAMGzbM5bGhQ4e22IeIiIjIF089Gt31WWzet1Ekug8Wjx07hm+//Ra33XYbXnjhBbz77rstHr/lllvw+9//Htdee63PYx06dAgAkJ6e7vJYSkoKDAYDDh8+rMl1ExERUXTw1KMR8Ny3USS6Dxa/+eYbAMD+/ftRXV2NgoICZGdn49y5c1i5ciXee+89zJw5E++9957PY1mtVgBAUlKS28cTExNx8uRJr8dISUlRnMkMhMFgCPo5SB3eGzHxvoiL90ZMvC/ayx6pbJsvob43ug8WL1++DACw2+3Iz89vaq2TkpKCBQsW4KuvvsLevXuxZ88e9O/fP+jX09DQEPRzGAwG1NfXB/085D/eGzHxvoiL90ZMvC/i0vreKAk8hS1wUap5FjA7O9vl8bvuugsAUFlZ6fNYiYmJAIBz5865fdxqtXrMOhIRERFFIt0Hi+np6YiNjQXgfvg4+YcZpBcvXvR5LGdLHHfzEhsaGlBfX+92PiMRERFRpNJ9sJiQkIC+ffsCAA4cOODyuHObkjY8AwYMAAB88sknLo/t3LkTADBw4EDV10pERESkN7oPFgHgRz/6EQCgsLAQly5datpeXV2NoqIiXH311Rg+fHjTdpvNhurqahw5cqTFcQYPHoy0tDR89NFH+M9//tO03Wq1YsWKFYiLi8P48eOD/GqIiIgoWtntMiwVMkq2OX7a7eqWC9SSsAUuGzZsgNlsBgBUVVU1bXP2OczJyUFOTg4AYMyYMSguLsaWLVtw//33Y9iwYbBardiyZQsuXryIV155BSkpKU3Hrq2txejRo2EymbB9+/am7XFxcVi4cCGeeuopPProoxg7diwSExNRXFyMY8eOYdasWbjhhhtC9RYQERFRFCktk136MaamArPyENbei8IGi2azGUVFRS22WSwWWCwWAI5hZWewKEkSfve73+Gtt97C+++/j/Xr1yMhIQGZmZmYOnWqX0PHgwYNwrp167B06VJs3rwZNpsNGRkZyM/Px/3336/dCyQiIiL6QWmZjDnzXLOIdXXAnHkyFs0PX8AoybIc/vxmBAlFqwG2NBAX742YeF/ExXsjJt6X0LLbZTw8Ufa6hrTRCGx4R8I113Rg6xwiIiKiaLJ3H7wGigBw6pRjv3BgsEhEREQURt+c0XY/rTFYJCIiIgqjjh203U9rDBaJiIiIwqhPb0fVszdGo2O/cGCwSERERBRGsbESZuV5r3TOnyEhNjY81dAMFomIiIjCLGuEhEXzJZcMo9EILJovsc8iERERUbTLGiFh2FBH1fM3ZxxzFPv0Rtgyik4MFomIiIgEERsrIbNvuK+iJQ5DExEREZFHDBaJiIiIyCMGi0RERETkEYNFIiIiIvKIwSIRERERecRgkYiIiIg8YrBIRERERB4xWCQiIiIijxgsEhEREZFHDBaJiIiIyCNJlmU53BdBRERERGJiZpGIiIiIPGKwSEREREQeMVgkIiIiIo8YLBIRERGRRwwWiYiIiMijuHBfAAH79u3DsmXL8Nlnn8FmsyEjIwOTJ0/GuHHjFB/j8uXLWLduHdavX4/Dhw/jqquuwh133IHZs2eja9euwbv4CBbofdmzZw+2bt2K8vJy1NTU4Pvvv4fJZEJ2djamTp2K5OTkIL+CyKXFd6Y5m82Ghx9+GF9++SVuuOEG/POf/9T4iqODVvfFarXiT3/6E4qLi3H06FHEx8cjLS0N2dnZmDFjRpCuPrJpcW/Onj2L1atXY+vWrTh27BgSEhLQpUsXjB8/HhMmTECbNm2C+Aoiz6ZNm2A2m1FZWYmqqirYbDYUFBQgNzfXr+OE4t9/ts4Js927d+PJJ59EfHw8xowZg6SkJBQXF+PYsWOYPXs2nn76aUXH+c1v/n979xtTZfnHcfyDNrETRGBWi2Z/RveJP+nMNPyzEWSrrWYujbYSKWrlbGZttdXqV9ZCfJIS0QOZmXVWWSaWLh2LHvgH0IOaGdjaTITDocQBI4jFQbp/D+qQBLcIXnDsnPdr48l1set87313vD73OTeX/9Pnn3+upKQkZWRkqKWlRTt37lR0dLQ2b96spKSkUb6S8GKiL3PnzlVbW5tmzJih5ORkRUVFyev16tixY5oyZYo2b96sSZMmjcHVhBdT75mzvfPOO9q0aZO6uroIiyNkqi9NTU3Kzc2Vz+fTnDlzlJycrEAgoIaGBjU1NWnHjh2jfCXhx0RvfvvtNz344IPy+XyaMWOGpk2bpkAgoD179qihoUHp6en64IMPNG4cX1ier6ysLPn9fsXHx8vlcsnv948oLI7J/m8jZHp6euz58+fbaWlpdm1tbd94R0eHfd9999kpKSl2XV3dkOtUVVXZlmXZjzzyiN3d3d03XllZabvdbvvRRx8djfLDlqm+rF+/3j516lS/sT///NN+/fXXbcuy7FWrVpkuPeyZ6s3Zampq7JSUFPujjz6yLcuy77nnHsNVhz9TfTlz5oy9aNEie+rUqXZVVdWgr4PhMdWbkpIS27Ise/Xq1f3Gu7u77UWLFtmWZdler9d0+WGtoqLCbmxstG37r/3Csix769atw1pjrPZ/bgFCaP/+/WpoaND999+vlJSUvvGYmBgtX75cZ86cUWlp6ZDrbNmyRZL03HPPacKECX3js2fP1rx581RdXa26ujrzFxCmTPXlqaee0lVXXdVvLCoqSsuXL5ckVVdXmy08ApjqTVAgENBLL72kadOmacmSJaNRckQw1ZeysjL98MMPysvLU3p6+oD5Sy7hyanhMtUbn88nScrIyOg3PmHCBM2dO1eS1NLSYrDy8DdnzhwlJiZe0Bpjtf8TFkPI6/VKkubNmzdgLvjmC/7OuRw4cEAul0u33XbbgLng2gST82eqL06CG9748eNHvEakMt2b4uJi1dfXKz8/X1FRUWaKjECm+rJz505J0r333qtffvlFn376qUpKSrRr1y79/vvvBiuOHKZ6c/PNN0uS9u7d22+8p6dHlZWVmjhxoqZPn36h5WKYxmr/5zYthE6ePClJuv766wfMxcXFKT4+XvX19edco6urS6dPn5ZlWYOGj+DDrcHXwtBM9OVctm7dKumff6hx/kz25ujRo9qwYYOef/553XjjjSbLjDim+lJTUyNJOnTokAoKChQIBPrmEhISVFhYqDvuuMNM0RHCVG8eeughffXVV9q4caNqamqUlpamnp4e7d27V+3t7Xr77bd19dVXmy4f5zCW+z+fLIZQZ2enJCk2NnbQ+ZiYGHV0dJxzjeB8TEyM4xpnvxaGZqIvTn788Ue99957mjRpkp588skR1xipTPUmEAjo5ZdfVnJysvLy8ozWGIlM9SX4NeZbb72l3Nxc7d69W1VVVXr11VfV0dGhZ555Rs3NzeYKjwCmejNx4kR5PB4tWLBAXq9XGzdulMfj6fuKe7BPtjC6xnL/JywCY8Tn8+npp59Wb2+v1q5dq4SEhFCXFLEKCwtVX1+v1atX8zjARcT++3COO++8Uy+88IKuueYaJSQkKCcnR4899pg6Ojr0xRdfhLjKyNTa2qrHH39c33//vUpKSnTw4EFVVFTojTfeUGlpqbKzs9Xe3h7qMjFKCIshFEz9Tnd1nZ2djneDQcF5pzuH4LjTnQcGMtGXf/P7/crNzVVra6uKiooGfXgfQzPRm9raWm3atEnLli2T2+02XmMkMvWeCa6TlZU1YC4zM1PSP19V4/yY6s2aNWv03XffqaioSBkZGYqNjdWVV16p7Oxsvfjii/L5fPrwww+N1o5zG8v9n7AYQsHnCQZ7XqS9vV1tbW2DPmdyNpfLpcmTJ6uxsVG9vb0D5oPPKnAw9/kz0ZezNTY2KicnR83NzSosLOzb9DB8Jnrz008/qbe3V++++67cbne/H0mqq6uT2+3W7bffbrz+cGXqPRN8dnSwA+uDY93d3RdQaeQx1Zvdu3friiuu0C233DJgLnjzW1tbe2HFYljGcv8nLIbQzJkzJUn79u0bMFdRUSFJmjVr1pDrzJo1S11dXTp8+PCAueDawdfC0Ez1RforKC5dulTNzc1at26d5s+fb67QCGSiNzfccIMWL1486I/019364sWLtXDhQsPVhy9T75lg6Dh+/PiAueDYhR41EmlM9SYQCKizs7PfHx0Ftba2SlK/o1swNsZs/zdyWiNGpKenx77rrrvstLQ0+9ixY33jZx+WeuLEib7xlpYW+/jx43ZLS0u/dTiU2yxTffH5fHZmZqadkpJil5WVjVn94cxUb5xwKPfImOpLQ0ODnZaWZs+ePdv+9ddf+63zwAMP2JZl2ZWVlaN/QWHEVG/y8vJsy7LsdevW9Rvv7u7um/N4PKN7MWFsqEO5Q73/j1+1atWqC4+cGIlx48bJsixt375dX375pfx+v6qrq5Wfn6+TJ0/q2Wef1d133933+xs2bNDKlSt16aWX9js+4rrrrtOpU6dUXl6ub775Rn6/X9u3b9fatWvlcrlUXFzMH1MMg6m+LFy4UH6/X1OnTtVll10mr9c74IdjQIbHVG+cFBcXKz4+ngO6h8lUX+Li4hQbG6uysjJt27ZN9fX12rdvnwoKCnTixAk9/PDDWrp0aSgu8T/LVG8sy9KOHTtUWVmpPXv26Oeff9a3336rgoIC1dTUKDU1Va+99hoHpw/Dli1b5PF4VF5ergMHDuj06dNqa2vTwYMHVV5eLkm66aabJIV+/6erIZaenq5PPvlERUVF2rVrV99/8L5y5UotWLDgvNd588035Xa79dlnn8nj8cjlcikzM5Mz5EbIRF/8fr8k6ciRIzpy5Migv7NixQpjNUcKU+8ZmGWqLzk5OUpMTNT777+vr7/+Wr29vUpKStKyZcuUnZ09ilcQvkz0Jjk5WaWlpVq/fr3279+vjz/+WOPHj9eUKVO0YsUKPfHEE4qOjh7lKwkvhw4d0rZt2/qNHT58uO8r5cTExPN6dGks9v8o2/77rAIAAADgX/gDFwAAADgiLAIAAMARYREAAACOCIsAAABwRFgEAACAI8IiAAAAHBEWAQAA4IiwCAAAAEeERQAAADgiLAIAAMARYREAAACOCIsAAABwRFgEAACAI8IiAFykGhsb5Xa7lZOTo87OTq1Zs0ZZWVlKTU1Vfn5+qMsDECEuCXUBAIBz++OPP7RkyRI1NTVp5syZSk1NVVxcXKjLAhAhCIsAcJE7evSopk+frvLycl1++eWhLgdAhOFraAD4D3jllVcIigBCgrAIABe5yZMn69Zbbw11GQAiFGERAC5y1157bahLABDBCIsAcJGLjo4OdQkAIhhhEQAAAI4IiwAAAHBEWAQAAIAjwiIAAAAcERYBAADgKMq2bTvURQAAAODixCeLAAAAcERYBAAAgCPCIgAAABwRFgEAAOCIsAgAAABHhEUAAAA4IiwCAADAEWERAAAAjgiLAAAAcERYBAAAgCPCIgAAABwRFgEAAODo/5iqI5BnvseBAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def sim_coll(r=0.9):\n", + " x = np.random.normal(loc=r * d.loc[:, 'perc.fat'],\n", + " scale=np.sqrt((1 - r**2) * np.var(d.loc[:, 'perc.fat'])))\n", + " p, cov = np.polyfit(d.loc[:, 'kcal.per.g'], d.loc[:, 'perc.fat'] + x, deg=1, cov=True)\n", + " return np.sqrt(np.diag(cov))[0]\n", + "\n", + "def rep_sim_coll(r=0.9, n=100):\n", + " return np.mean([sim_coll(r) for i in range(100)])\n", + "\n", + "r_seq = np.arange(0, 1, 0.01)\n", + "stdev = list(map(rep_sim_coll, r_seq))\n", + "\n", + "plt.scatter(r_seq, stdev)\n", + "plt.xlabel('r')\n", + "plt.ylabel('correlation')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.13" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countmeanstdmin25%50%75%max
h0100.010.0329271.8651504.9396588.8357499.85269411.23652914.233877
h1100.014.2510892.4283407.95261412.68493614.58717916.23403318.693188
treatment100.00.5000000.5025190.0000000.0000000.5000001.0000001.000000
fungus100.00.2600000.4408440.0000000.0000000.0000001.0000001.000000
\n", + "
" + ], + "text/plain": [ + " count mean std min 25% 50% \\\n", + "h0 100.0 10.032927 1.865150 4.939658 8.835749 9.852694 \n", + "h1 100.0 14.251089 2.428340 7.952614 12.684936 14.587179 \n", + "treatment 100.0 0.500000 0.502519 0.000000 0.000000 0.500000 \n", + "fungus 100.0 0.260000 0.440844 0.000000 0.000000 0.000000 \n", + "\n", + " 75% max \n", + "h0 11.236529 14.233877 \n", + "h1 16.234033 18.693188 \n", + "treatment 1.000000 1.000000 \n", + "fungus 1.000000 1.000000 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# number of plants\n", + "N = 100\n", + "# simulate initial heights\n", + "h0 = np.random.normal(10, 2, N)\n", + "# assign treatments and simulate fungus and growth\n", + "treatment = np.repeat([0,1], N/2)\n", + "fungus = np.random.binomial(n=1, p=0.5 - treatment * 0.4, size=N)\n", + "h1 = h0 + np.random.normal(5 - 3 * fungus, size=N)\n", + "# compose a clean data frame\n", + "d = pd.DataFrame.from_dict({'h0': h0, 'h1': h1, 'treatment': treatment, 'fungus': fungus})\n", + "\n", + "d.describe().T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.14" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "arviz.stats.stats_utils - WARNING - Shape validation failed: input_shape: (1, 10000), minimum_shape: (chains=2, draws=4)\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
x1.0340.2650.5731.5210.0030.0029749.09737.09769.09324.0NaN
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "x 1.034 0.265 0.573 1.521 0.003 0.002 9749.0 9737.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "x 9769.0 9324.0 NaN " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sim_p = np.random.lognormal(0, 0.25, int(1e4))\n", + "\n", + "az.summary(sim_p)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.15" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, p]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1994.57draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
p1.4030.0181.3691.4350.0010.0001014.01014.01010.0594.01.01
sigma1.8740.1331.6482.1480.0040.0031026.01020.01021.0747.01.00
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "p 1.403 0.018 1.369 1.435 0.001 0.000 1014.0 1014.0 \n", + "sigma 1.874 0.133 1.648 2.148 0.004 0.003 1026.0 1020.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "p 1010.0 594.0 1.01 \n", + "sigma 1021.0 747.0 1.00 " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_6:\n", + " p = pm.Lognormal('p', 0, 0.25)\n", + " \n", + " mu = pm.Deterministic('mu', p * d.h0)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", + " \n", + " m_6_6_trace = pm.sample()\n", + "\n", + "az.summary(m_6_6_trace, var_names=['~mu'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.16" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bf, bt, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1017.76draws/s]\n", + "The acceptance probability does not match the target. It is 0.8936683270553085, but should be close to 0.8. Try to increase the number of tuning steps.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a1.4730.0201.4321.5080.0010.001630.0624.0636.0757.01.00
bt0.0150.025-0.0330.0620.0010.001610.0573.0607.0607.01.01
bf-0.2950.030-0.353-0.2400.0010.001764.0763.0765.0811.01.00
sigma1.2570.0881.1031.4160.0030.002662.0659.0664.0607.01.00
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "a 1.473 0.020 1.432 1.508 0.001 0.001 630.0 624.0 \n", + "bt 0.015 0.025 -0.033 0.062 0.001 0.001 610.0 573.0 \n", + "bf -0.295 0.030 -0.353 -0.240 0.001 0.001 764.0 763.0 \n", + "sigma 1.257 0.088 1.103 1.416 0.003 0.002 662.0 659.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "a 636.0 757.0 1.00 \n", + "bt 607.0 607.0 1.01 \n", + "bf 765.0 811.0 1.00 \n", + "sigma 664.0 607.0 1.00 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_7:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bt = pm.Normal('bt', 0, 0.5)\n", + " bf = pm.Normal('bf', 0, 0.5)\n", + " \n", + " p = a + bt * d.treatment + bf * d.fungus\n", + " \n", + " mu = pm.Deterministic('mu', p * d.h0)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", + " \n", + " m_6_7_trace = pm.sample()\n", + "\n", + "az.summary(m_6_7_trace, var_names=['~mu'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.17" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bt, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1346.62draws/s]\n", + "The acceptance probability does not match the target. It is 0.8808811481735465, but should be close to 0.8. Try to increase the number of tuning steps.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a1.3430.0241.3011.3920.0010.001653.0653.0655.0573.01.0
bt0.1080.0360.0460.1770.0010.001641.0641.0655.0819.01.0
sigma1.8510.1341.6252.1170.0060.004585.0585.0586.0580.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "a 1.343 0.024 1.301 1.392 0.001 0.001 653.0 653.0 \n", + "bt 0.108 0.036 0.046 0.177 0.001 0.001 641.0 641.0 \n", + "sigma 1.851 0.134 1.625 2.117 0.006 0.004 585.0 585.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "a 655.0 573.0 1.0 \n", + "bt 655.0 819.0 1.0 \n", + "sigma 586.0 580.0 1.0 " + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_8:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bt = pm.Normal('bt', 0, 0.5)\n", + " \n", + " p = a + bt * d.treatment\n", + " \n", + " mu = pm.Deterministic('mu', p * d.h0)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", + " \n", + " m_6_8_trace = pm.sample()\n", + "\n", + "az.summary(m_6_8_trace, var_names=['~mu'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.18\n", + "\n", + "Using [`causalgraphicalmodels`](https://github.com/ijmbarr/causalgraphicalmodels) for graph drawing and analysis instead of `dagitty`, following the example of [ksachdeva's Tensorflow version of Rethinking](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import daft\n", + "from causalgraphicalmodels import CausalGraphicalModel\n", + "\n", + "plant_dag = CausalGraphicalModel(\n", + " nodes=[\"H0\", \"H1\", \"F\", \"T\"],\n", + " edges=[(\"H0\", \"H1\"),\n", + " (\"F\", \"H1\"),\n", + " (\"T\", \"F\")])\n", + "pgm = daft.PGM()\n", + "coordinates = {\"H0\": (0, 0), \"T\": (4, 0), \"F\": (3, 0), \"H1\": (2, 0)}\n", + "for node in plant_dag.dag.nodes:\n", + " pgm.add_node(node, node, *coordinates[node])\n", + "for edge in plant_dag.dag.edges:\n", + " pgm.add_edge(*edge)\n", + "pgm.render()\n", + "plt.gca().invert_yaxis()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.19\n", + "\n", + "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('H1', 'T', {'F'})\n", + "('T', 'H0', set())\n", + "('F', 'H0', set())\n" + ] + } + ], + "source": [ + "all_independencies = plant_dag.get_all_independence_relationships()\n", + "for s in all_independencies:\n", + " if all(t[0] != s[0] or t[1] != s[1] or not t[2].issubset(s[2])\n", + " for t in all_independencies if t != s):\n", + " print(s)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.20" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countmeanstdmin25%50%75%max
h01000.010.0882871.9235544.1255068.81523610.05438011.42834816.570629
h11000.016.6275022.6776267.83907014.73002616.60634818.54559424.136891
treatment1000.00.5000000.5002500.0000000.0000000.5000001.0000001.000000
fungus1000.00.4870000.5000810.0000000.0000000.0000001.0000001.000000
\n", + "
" + ], + "text/plain": [ + " count mean std min 25% 50% \\\n", + "h0 1000.0 10.088287 1.923554 4.125506 8.815236 10.054380 \n", + "h1 1000.0 16.627502 2.677626 7.839070 14.730026 16.606348 \n", + "treatment 1000.0 0.500000 0.500250 0.000000 0.000000 0.500000 \n", + "fungus 1000.0 0.487000 0.500081 0.000000 0.000000 0.000000 \n", + "\n", + " 75% max \n", + "h0 11.428348 16.570629 \n", + "h1 18.545594 24.136891 \n", + "treatment 1.000000 1.000000 \n", + "fungus 1.000000 1.000000 " + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 1000\n", + "h0 = np.random.normal(10, 2, N)\n", + "treatment = np.repeat([0,1], N/2)\n", + "M = np.random.binomial(1, 0.5, size=N) # assumed probability 0.5 here, as not given in book\n", + "fungus = np.random.binomial(n=1, p=0.5 - treatment * 0.4 + 0.4 * M, size=N)\n", + "h1 = h0 + np.random.normal(5 + 3 * M, size=N)\n", + "d = pd.DataFrame.from_dict({'h0': h0, 'h1': h1, 'treatment': treatment, 'fungus': fungus})\n", + "\n", + "d.describe().T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Re-run m_6_6 and m_6_7 on this dataset" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.21\n", + "\n", + "Including a python implementation of the sim_happiness function" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "def inv_logit(x):\n", + " return np.exp(x) / (1 + np.exp(x))\n", + "\n", + "def sim_happiness(N_years=100, seed=1234):\n", + " np.random.seed(seed)\n", + "\n", + " popn = pd.DataFrame(np.zeros((20 * 65, 3)), columns=['age', 'happiness', 'married'])\n", + " popn.loc[:, 'age'] = np.repeat(np.arange(65), 20)\n", + " popn.loc[:, 'happiness'] = np.repeat(np.linspace(-2, 2, 20), 65)\n", + " popn.loc[:, 'married'] = np.array(popn.loc[:, 'married'].values, dtype='bool')\n", + "\n", + " for i in range(N_years):\n", + " # age population\n", + " popn.loc[:, 'age'] += 1\n", + " # replace old folk with new folk\n", + " ind = popn.age == 65\n", + " popn.loc[ind, 'age'] = 0\n", + " popn.loc[ind, 'married'] = False\n", + " popn.loc[ind, 'happiness'] = np.linspace(-2, 2, 20)\n", + "\n", + " # do the work\n", + " elligible = (popn.married == 0) & (popn.age >= 18)\n", + " marry = np.random.binomial(1, inv_logit(popn.loc[elligible, 'happiness'] - 4)) == 1\n", + " popn.loc[elligible, 'married'] = marry\n", + "\n", + " popn.sort_values('age', inplace=True, ignore_index=True)\n", + " \n", + " return popn" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "popn = sim_happiness()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countmeanstdmin25%50%75%max
age1300.03.200000e+0118.7688830.016.03.200000e+0148.064.0
happiness1300.0-1.024821e-161.214421-2.0-1.0-1.110223e-161.02.0
\n", + "
" + ], + "text/plain": [ + " count mean std min 25% 50% 75% \\\n", + "age 1300.0 3.200000e+01 18.768883 0.0 16.0 3.200000e+01 48.0 \n", + "happiness 1300.0 -1.024821e-16 1.214421 -2.0 -1.0 -1.110223e-16 1.0 \n", + "\n", + " max \n", + "age 64.0 \n", + "happiness 2.0 " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "popn.describe().T" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 6.4\n", + "fig, ax = plt.subplots(figsize=[10, 3.4])\n", + "\n", + "for age, g in popn.groupby('age'):\n", + " colors = np.array(['w'] * 20)\n", + " colors[g.married] = 'b'\n", + " ax.scatter([age] * 20, np.arange(20), edgecolor='k', color=colors)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.22" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pandas/core/indexing.py:845: 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", + " self.obj[key] = _infer_fill_value(value)\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pandas/core/indexing.py:966: 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", + " self.obj[item] = s\n" + ] + } + ], + "source": [ + "adults = popn.loc[popn.age > 17]\n", + "adults.loc[:, 'A'] = (adults.loc[:, 'age'] - 18) / (65 - 18)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.23" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bA, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:04<00:00, 716.00draws/s]\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a[0]-0.2020.069-0.332-0.0720.0020.002840.0840.0838.0970.01.0
a[1]1.2120.0931.0391.3840.0030.002801.0791.0802.0860.01.0
bA-0.7130.126-0.942-0.4730.0050.003749.0746.0744.0909.01.0
sigma1.0210.0240.9771.0650.0010.0011102.01101.01103.01147.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "a[0] -0.202 0.069 -0.332 -0.072 0.002 0.002 840.0 840.0 \n", + "a[1] 1.212 0.093 1.039 1.384 0.003 0.002 801.0 791.0 \n", + "bA -0.713 0.126 -0.942 -0.473 0.005 0.003 749.0 746.0 \n", + "sigma 1.021 0.024 0.977 1.065 0.001 0.001 1102.0 1101.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "a[0] 838.0 970.0 1.0 \n", + "a[1] 802.0 860.0 1.0 \n", + "bA 744.0 909.0 1.0 \n", + "sigma 1103.0 1147.0 1.0 " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mid = pd.Categorical(adults.loc[:, 'married'].astype(int))\n", + "\n", + "with pm.Model() as m_6_9:\n", + " a = pm.Normal('a', 0, 1, shape=2)\n", + " bA = pm.Normal('bA', 0, 2)\n", + "\n", + " mu = a[mid] + bA * adults.A.values\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " happiness = pm.Normal('happiness', mu, sigma, observed=adults.happiness.values)\n", + " \n", + " m_6_9_trace = pm.sample(1000)\n", + "\n", + "az.summary(m_6_9_trace)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.24" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bA, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:02<00:00, 1252.55draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0000.078-0.1560.1360.0030.002888.0672.0887.0800.01.01
bA0.0010.136-0.2300.2720.0050.004894.0656.0903.0873.01.00
sigma1.2160.0291.1611.2690.0010.0011019.01017.01023.01002.01.00
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "a -0.000 0.078 -0.156 0.136 0.003 0.002 888.0 672.0 \n", + "bA 0.001 0.136 -0.230 0.272 0.005 0.004 894.0 656.0 \n", + "sigma 1.216 0.029 1.161 1.269 0.001 0.001 1019.0 1017.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "a 887.0 800.0 1.01 \n", + "bA 903.0 873.0 1.00 \n", + "sigma 1023.0 1002.0 1.00 " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m6_10:\n", + " a = pm.Normal('a', 0, 1)\n", + " bA = pm.Normal('bA', 0, 2)\n", + "\n", + " mu = a + bA * adults.A.values\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " happiness = pm.Normal('happiness', mu, sigma, observed=adults.happiness.values)\n", + " \n", + " trace_6_10 = pm.sample(1000)\n", + "\n", + "az.summary(trace_6_10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.25" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "N = 200 # number of of grandparent-parent-child triads\n", + "b_GP = 1 # direct effect of G on P\n", + "b_GC = 0 # direct effect of G on C\n", + "b_PC = 1 # direct effect of P on C\n", + "b_U = 2 # direct effect of U on P and C" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.26" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "U = 2 * np.random.binomial(1, 0.5, N) - 1\n", + "G = np.random.normal(size=N)\n", + "P = np.random.normal(b_GP * G + b_U * U)\n", + "C = np.random.normal(b_PC * P + b_GC * G + b_U * U)\n", + "d = pd.DataFrame.from_dict({'C': C, 'P': P, 'G': G, 'U': U})" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'grandchild education (C)')" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 6.5\n", + "\n", + "# grandparent education\n", + "bad = U < 0\n", + "good = ~bad\n", + "plt.scatter(G[good], C[good], color='w', lw=1, edgecolor='C0')\n", + "plt.scatter(G[bad], C[bad], color='w', lw=1, edgecolor='k')\n", + "\n", + "# parents with similar education\n", + "eP = (P > -1) & (P < 1)\n", + "plt.scatter(G[good & eP], C[good & eP], color='C0', lw=1, edgecolor='C0')\n", + "plt.scatter(G[bad & eP], C[bad & eP], color='k', lw=1, edgecolor='k')\n", + "\n", + "\n", + "p = np.polyfit(G[eP], C[eP], 1)\n", + "xn = np.array([-2,3])\n", + "plt.plot(xn, np.polyval(p, xn))\n", + "\n", + "plt.xlabel('grandparent education (G)')\n", + "plt.ylabel('grandchild education (C)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.27" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, b_GC, b_PC, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1312.85draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0330.096-0.1870.1120.0030.0031233.0590.01221.0724.01.00
b_PC1.8510.0441.7821.9200.0010.001925.0925.0932.0716.01.02
b_GC-0.8110.099-0.964-0.6550.0030.002917.0916.0924.0785.01.01
sigma1.3530.0711.2401.4600.0020.002945.0932.0974.0762.01.00
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a -0.033 0.096 -0.187 0.112 0.003 0.003 1233.0 \n", + "b_PC 1.851 0.044 1.782 1.920 0.001 0.001 925.0 \n", + "b_GC -0.811 0.099 -0.964 -0.655 0.003 0.002 917.0 \n", + "sigma 1.353 0.071 1.240 1.460 0.002 0.002 945.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 590.0 1221.0 724.0 1.00 \n", + "b_PC 925.0 932.0 716.0 1.02 \n", + "b_GC 916.0 924.0 785.0 1.01 \n", + "sigma 932.0 974.0 762.0 1.00 " + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_11:\n", + " a = pm.Normal('a', 0, 1)\n", + " p_PC = pm.Normal('b_PC', 0, 1)\n", + " p_GC = pm.Normal('b_GC', 0, 1)\n", + " \n", + " mu = pm.Deterministic('mu', a + p_PC * d.P + p_GC * d.G)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " pC = pm.Normal('C', mu, sigma, observed=d.C)\n", + " \n", + " m_6_11_trace = pm.sample()\n", + " \n", + "az.summary(m_6_11_trace, var_names=['~mu'], credible_interval=0.89)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.28" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, b_U, b_GC, b_PC, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 836.63draws/s] \n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0090.072-0.1240.1020.0030.002697.0487.0685.0594.01.0
b_PC1.0400.0740.9271.1620.0040.003286.0285.0287.0466.01.0
b_GC-0.0100.097-0.1570.1580.0050.004336.0336.0337.0568.01.0
b_U2.0070.1641.7562.2570.0100.007297.0297.0298.0455.01.0
sigma1.0010.0490.9271.0830.0020.001741.0741.0733.0680.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a -0.009 0.072 -0.124 0.102 0.003 0.002 697.0 \n", + "b_PC 1.040 0.074 0.927 1.162 0.004 0.003 286.0 \n", + "b_GC -0.010 0.097 -0.157 0.158 0.005 0.004 336.0 \n", + "b_U 2.007 0.164 1.756 2.257 0.010 0.007 297.0 \n", + "sigma 1.001 0.049 0.927 1.083 0.002 0.001 741.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 487.0 685.0 594.0 1.0 \n", + "b_PC 285.0 287.0 466.0 1.0 \n", + "b_GC 336.0 337.0 568.0 1.0 \n", + "b_U 297.0 298.0 455.0 1.0 \n", + "sigma 741.0 733.0 680.0 1.0 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_6_12:\n", + " a = pm.Normal('a', 0, 1)\n", + " p_PC = pm.Normal('b_PC', 0, 1)\n", + " p_GC = pm.Normal('b_GC', 0, 1)\n", + " p_U = pm.Normal('b_U', 0, 1)\n", + " \n", + " mu = pm.Deterministic('mu', a + p_PC * d.P + p_GC * d.G + p_U * d.U)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " pC = pm.Normal('C', mu, sigma, observed=d.C)\n", + " \n", + " m_6_12_trace = pm.sample()\n", + " \n", + "az.summary(m_6_12_trace, var_names=['~mu'], credible_interval=0.89)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.29\n", + "\n", + "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "frozenset({'C'})\n", + "frozenset({'A'})\n" + ] + } + ], + "source": [ + "dag_6_1 = CausalGraphicalModel(\n", + " nodes=[\"X\", \"Y\", \"C\", \"U\", \"B\", \"A\"],\n", + " edges=[(\"X\", \"Y\"), (\"U\", \"X\"), (\"A\", \"U\"), (\"A\", \"C\"),\n", + " (\"C\", \"Y\"), (\"U\", \"B\"), (\"C\", \"B\")])\n", + "all_adjustment_sets = dag_6_1.get_all_backdoor_adjustment_sets(\"X\", \"Y\")\n", + "for s in all_adjustment_sets:\n", + " if all(not t.issubset(s) for t in all_adjustment_sets if t != s):\n", + " if s != {\"U\"}:\n", + " print(s)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.30\n", + "\n", + "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "frozenset({'S'})\n", + "frozenset({'M', 'A'})\n" + ] + } + ], + "source": [ + "dag_6_2 = CausalGraphicalModel(\n", + " nodes=[\"S\", \"A\", \"D\", \"M\", \"W\"],\n", + " edges=[(\"S\", \"A\"), (\"A\", \"D\"),\n", + " (\"S\", \"M\"), (\"M\", \"D\"),\n", + " (\"S\", \"W\"), (\"W\", \"D\"),\n", + " (\"A\", \"M\")])\n", + "all_adjustment_sets = dag_6_2.get_all_backdoor_adjustment_sets(\"W\", \"D\")\n", + "for s in all_adjustment_sets:\n", + " if all(not t.issubset(s)for t in all_adjustment_sets if t != s):\n", + " print(s)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 6.31\n", + "\n", + "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('S', 'D', {'W', 'M', 'A'})\n", + "('M', 'W', {'S'})\n", + "('W', 'A', {'S'})\n" + ] + } + ], + "source": [ + "all_independencies = dag_6_2.get_all_independence_relationships()\n", + "for s in all_independencies:\n", + " if all(t[0] != s[0] or t[1] != s[1] or not t[2].issubset(s[2])\n", + " for t in all_independencies if t != s):\n", + " print(s)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From d6193d9b012e37ac1bf1deaf9b0417f19e50db55 Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 4 May 2020 22:52:44 +0100 Subject: [PATCH 02/15] First attempt at Chp_07 --- Rethinking_2/Chp_07.ipynb | 3557 +++++++++++++++++++++++++++++++++++++ 1 file changed, 3557 insertions(+) create mode 100644 Rethinking_2/Chp_07.ipynb diff --git a/Rethinking_2/Chp_07.ipynb b/Rethinking_2/Chp_07.ipynb new file mode 100644 index 0000000..31fde1d --- /dev/null +++ b/Rethinking_2/Chp_07.ipynb @@ -0,0 +1,3557 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Chapter 7" + ] + }, + { + "cell_type": "code", + "execution_count": 302, + "metadata": {}, + "outputs": [], + "source": [ + "import arviz as az\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "import pandas as pd\n", + "import pymc3 as pm\n", + "from scipy import stats\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%config Inline.figure_format = 'retina'\n", + "az.style.use('arviz-darkgrid')\n", + "np.random.seed(0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.1" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "brains = pd.DataFrame.from_dict({\n", + " 'species': [\"afarensis\",\"africanus\",\"habilis\",\"boisei\",\"rudolfensis\",\"ergaster\",\"sapiens\"],\n", + " 'brain': [438 , 452 , 612, 521, 752, 871, 1350], # volume in cc\n", + " 'mass': [37.0 , 35.5 , 34.5 , 41.5 , 55.5 , 61.0 , 53.5] # mass in kg\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'brain volume (cc)')" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 7.2\n", + "\n", + "plt.scatter(brains.mass, brains.brain)\n", + "\n", + "# point labels\n", + "for i, r in brains.iterrows():\n", + " if r.species == 'afarensis':\n", + " plt.text(r.mass + .5, r.brain, r.species, ha='left', va='center')\n", + " elif r.species == 'sapiens':\n", + " plt.text(r.mass, r.brain - 25, r.species, ha='center', va='top')\n", + " else:\n", + " plt.text(r.mass, r.brain + 25, r.species, ha='center')\n", + "\n", + "plt.xlabel('body mass (kg)')\n", + "plt.ylabel('brain volume (cc)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.2" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [], + "source": [ + "brains.loc[:, 'mass_std'] = (brains.loc[:, 'mass'] - brains.loc[:, 'mass'].mean()) / brains.loc[:, 'mass'].std()\n", + "brains.loc[:, 'brain_std'] = brains.loc[:, 'brain'] / brains.loc[:, 'brain'].max()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.3\n", + "\n", + "Note: in [Chapter 6 of 1st Edition](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb) (6.2 - 6.6) all these models were done using OLS through statsmodels. I've done them with MCMC here, but it produces significantly larger uncertainties in the fits, so produces quite different LPPD and WAIC numbers. **Should these be done with MCMC or OLS?**" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [log_sigma, b, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 4000/4000 [00:02<00:00, 1578.60draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.5270.1120.3750.6920.0040.003672.0672.01042.0589.01.00
b0.1680.131-0.0010.3660.0050.004623.0509.0839.0496.01.01
log_sigma-1.3820.388-1.994-0.7890.0170.012538.0538.0595.0517.01.01
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.527 0.112 0.375 0.692 0.004 0.003 672.0 \n", + "b 0.168 0.131 -0.001 0.366 0.005 0.004 623.0 \n", + "log_sigma -1.382 0.388 -1.994 -0.789 0.017 0.012 538.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 672.0 1042.0 589.0 1.00 \n", + "b 509.0 839.0 496.0 1.01 \n", + "log_sigma 538.0 595.0 517.0 1.01 " + ] + }, + "execution_count": 163, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_7_1:\n", + " mass_std = pm.Data('mass_std', brains.mass_std) # this is necessary for prediction in 7.10\n", + " a = pm.Normal('a', 0.5, 1)\n", + " b = pm.Normal('b', 0, 10)\n", + " \n", + " mu = pm.Deterministic('mu', a + b * mass_std)\n", + " # The book doesn't say *why* sigma is treated as log_sigma in this model...\n", + " log_sigma = pm.Normal('log_sigma', 0, 1)\n", + "\n", + " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", + " \n", + " m_7_1_trace = pm.sample(1000, tune=1000)\n", + "\n", + "az.summary(m_7_1_trace, credible_interval=0.89, var_names=['~mu'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.4" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "arviz.stats.stats_utils - WARNING - Shape validation failed: input_shape: (1, 1000), minimum_shape: (chains=2, draws=4)\n", + "arviz.stats.stats_utils - WARNING - Shape validation failed: input_shape: (1, 1000), minimum_shape: (chains=2, draws=4)\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
b0.1660.0740.0410.2750.0020.0021032.01032.01031.01011.0NaN
a0.5300.0700.4250.6460.0020.0021004.0991.01020.0844.0NaN
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "b 0.166 0.074 0.041 0.275 0.002 0.002 1032.0 1032.0 \n", + "a 0.530 0.070 0.425 0.646 0.002 0.002 1004.0 991.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "b 1031.0 1011.0 NaN \n", + "a 1020.0 844.0 NaN " + ] + }, + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p, cov = np.polyfit(brains.loc[:, 'mass_std'], brains.loc[:, 'brain_std'], 1, cov=True)\n", + "\n", + "post = stats.multivariate_normal(p, cov).rvs(1000)\n", + "\n", + "az.summary({k:v for k, v in zip('ba', post.T)}, credible_interval=0.89)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.5" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pymc3/sampling.py:1247: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n", + " \"samples parameter is smaller than nchains times ndraws, some draws \"\n", + "100%|██████████| 1000/1000 [00:01<00:00, 808.56it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "0.4658623024556936" + ] + }, + "execution_count": 165, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = pm.sample_posterior_predictive(m_7_1_trace, 1000, m_7_1)\n", + "r = np.mean(s['brain_std'], 0) - brains.brain_std\n", + "resid_var = np.var(r)\n", + "outcome_var = np.var(brains.brain_std)\n", + "1 - resid_var / outcome_var # Calculate R2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.6" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1000/1000 [00:01<00:00, 913.77it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "0.4830854986840514" + ] + }, + "execution_count": 166, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def R2_is_bad(model, trace, n=1000):\n", + " s = pm.sample_posterior_predictive(trace, n, model)\n", + " key = list(s.keys())[0] # because we won't automatically know what the predictor is called\n", + " r = np.mean(s[key], 0) - brains.brain_std\n", + " return 1 - np.var(r) / np.var(brains.brain_std)\n", + "\n", + "R2_is_bad(m_7_1, m_7_1_trace)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.7" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [log_sigma, b, a]\n", + "Sampling 2 chains, 9 divergences: 100%|██████████| 4000/4000 [00:04<00:00, 839.45draws/s] \n", + "There were 7 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.6931376548284643, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "There were 2 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The number of effective samples is smaller than 25% for some parameters.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.5860.2430.2390.9640.0100.008574.0513.0598.0591.01.0
b[0]0.1930.168-0.0590.4200.0060.005744.0475.0773.0755.01.0
b[1]-0.0750.254-0.4460.3110.0100.009590.0408.0624.0672.01.0
log_sigma-1.2650.408-1.909-0.6380.0210.016374.0331.0346.0276.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.586 0.243 0.239 0.964 0.010 0.008 574.0 \n", + "b[0] 0.193 0.168 -0.059 0.420 0.006 0.005 744.0 \n", + "b[1] -0.075 0.254 -0.446 0.311 0.010 0.009 590.0 \n", + "log_sigma -1.265 0.408 -1.909 -0.638 0.021 0.016 374.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 513.0 598.0 591.0 1.0 \n", + "b[0] 475.0 773.0 755.0 1.0 \n", + "b[1] 408.0 624.0 672.0 1.0 \n", + "log_sigma 331.0 346.0 276.0 1.0 " + ] + }, + "execution_count": 167, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_7_2:\n", + " mass_std = pm.Data('mass_std', brains.mass_std)\n", + " a = pm.Normal('a', 0.5, 1)\n", + " b = pm.Normal('b', 0, 10, shape=2)\n", + " \n", + " mu = pm.Deterministic('mu', a + b[0] * mass_std + b[1] * mass_std**2)\n", + " log_sigma = pm.Normal('log_sigma', 0, 1)\n", + "\n", + " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", + " \n", + " m_7_2_trace = pm.sample(1000, tune=1000)\n", + "\n", + "az.summary(m_7_2_trace, credible_interval=0.89, var_names=['~mu'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.8" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [log_sigma, b, a]\n", + "Sampling 2 chains, 31 divergences: 100%|██████████| 4000/4000 [00:07<00:00, 513.89draws/s]\n", + "There were 30 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.6584178134796362, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "There was 1 divergence after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.8859943332916341, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "The number of effective samples is smaller than 25% for some parameters.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.5300.2800.0750.9240.0120.009562.0519.0541.0700.01.00
b[0]0.3880.463-0.2900.9470.0200.018546.0318.0440.0500.01.01
b[1]0.0500.354-0.5730.5360.0160.013466.0376.0457.0546.01.00
b[2]-0.1970.398-0.8160.3210.0180.018465.0254.0380.0436.01.01
log_sigma-1.1840.483-1.929-0.4540.0300.022253.0244.0243.0252.01.02
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.530 0.280 0.075 0.924 0.012 0.009 562.0 \n", + "b[0] 0.388 0.463 -0.290 0.947 0.020 0.018 546.0 \n", + "b[1] 0.050 0.354 -0.573 0.536 0.016 0.013 466.0 \n", + "b[2] -0.197 0.398 -0.816 0.321 0.018 0.018 465.0 \n", + "log_sigma -1.184 0.483 -1.929 -0.454 0.030 0.022 253.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 519.0 541.0 700.0 1.00 \n", + "b[0] 318.0 440.0 500.0 1.01 \n", + "b[1] 376.0 457.0 546.0 1.00 \n", + "b[2] 254.0 380.0 436.0 1.01 \n", + "log_sigma 244.0 243.0 252.0 1.02 " + ] + }, + "execution_count": 168, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_7_3:\n", + " mass_std = pm.Data('mass_std', brains.mass_std)\n", + " a = pm.Normal('a', 0.5, 1)\n", + " b = pm.Normal('b', 0, 10, shape=3)\n", + " \n", + " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", + " b[1] * mass_std**2 + b[2] * mass_std**3))\n", + " log_sigma = pm.Normal('log_sigma', 0, 1)\n", + "\n", + " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", + "\n", + " \n", + " m_7_3_trace = pm.sample(1000, tune=1000)\n", + "\n", + "az.summary(m_7_3_trace, credible_interval=0.89, var_names=['~mu'])" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [log_sigma, b, a]\n", + "Sampling 2 chains, 58 divergences: 100%|██████████| 4000/4000 [00:18<00:00, 217.52draws/s]\n", + "There were 18 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "There were 40 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The estimated number of effective samples is smaller than 200 for some parameters.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.7380.532-0.0241.6380.0280.020367.0367.0361.0511.01.00
b[0]0.7270.814-0.4651.9060.0400.033408.0311.0379.0637.01.00
b[1]-0.6251.511-3.0351.6690.0820.060336.0318.0327.0404.01.00
b[2]-0.6110.959-2.0430.8650.0490.042378.0263.0353.0462.01.00
b[3]0.4591.003-1.1102.0030.0540.047341.0231.0324.0318.01.00
log_sigma-1.0560.488-1.829-0.3240.0340.025211.0195.0192.0137.01.01
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.738 0.532 -0.024 1.638 0.028 0.020 367.0 \n", + "b[0] 0.727 0.814 -0.465 1.906 0.040 0.033 408.0 \n", + "b[1] -0.625 1.511 -3.035 1.669 0.082 0.060 336.0 \n", + "b[2] -0.611 0.959 -2.043 0.865 0.049 0.042 378.0 \n", + "b[3] 0.459 1.003 -1.110 2.003 0.054 0.047 341.0 \n", + "log_sigma -1.056 0.488 -1.829 -0.324 0.034 0.025 211.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 367.0 361.0 511.0 1.00 \n", + "b[0] 311.0 379.0 637.0 1.00 \n", + "b[1] 318.0 327.0 404.0 1.00 \n", + "b[2] 263.0 353.0 462.0 1.00 \n", + "b[3] 231.0 324.0 318.0 1.00 \n", + "log_sigma 195.0 192.0 137.0 1.01 " + ] + }, + "execution_count": 171, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_7_4:\n", + " mass_std = pm.Data('mass_std', brains.mass_std)\n", + " a = pm.Normal('a', 0.5, 1)\n", + " b = pm.Normal('b', 0, 10, shape=4)\n", + " \n", + " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", + " b[1] * mass_std**2 + b[2] * mass_std**3 + \n", + " b[3] * mass_std**4))\n", + " log_sigma = pm.Normal('log_sigma', 0, 1)\n", + "\n", + " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", + " \n", + " m_7_4_trace = pm.sample(1000, tune=1000)\n", + "\n", + "az.summary(m_7_4_trace, credible_interval=0.89, var_names=['~mu'])" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [log_sigma, b, a]\n", + "Sampling 2 chains, 191 divergences: 100%|██████████| 4000/4000 [00:37<00:00, 107.52draws/s]\n", + "There were 98 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.68729093995265, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "There were 93 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.7145733000557034, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "The estimated number of effective samples is smaller than 200 for some parameters.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.6600.741-0.5161.8070.0400.028351.0351.0349.0444.01.02
b[0]1.1732.093-1.8144.3320.1010.072427.0427.0390.0381.01.00
b[1]-0.0832.334-3.5843.7710.1250.103350.0257.0360.0710.01.02
b[2]-1.8044.337-8.1984.9480.2230.158379.0379.0352.0370.01.01
b[3]-0.0922.001-3.0993.0220.1050.074364.0364.0364.0487.01.01
b[4]0.6912.240-2.5744.2570.1180.084360.0360.0345.0585.01.01
log_sigma-0.5530.446-1.1840.0380.0290.023232.0197.0184.0127.01.02
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", + "a 0.660 0.741 -0.516 1.807 0.040 0.028 351.0 \n", + "b[0] 1.173 2.093 -1.814 4.332 0.101 0.072 427.0 \n", + "b[1] -0.083 2.334 -3.584 3.771 0.125 0.103 350.0 \n", + "b[2] -1.804 4.337 -8.198 4.948 0.223 0.158 379.0 \n", + "b[3] -0.092 2.001 -3.099 3.022 0.105 0.074 364.0 \n", + "b[4] 0.691 2.240 -2.574 4.257 0.118 0.084 360.0 \n", + "log_sigma -0.553 0.446 -1.184 0.038 0.029 0.023 232.0 \n", + "\n", + " ess_sd ess_bulk ess_tail r_hat \n", + "a 351.0 349.0 444.0 1.02 \n", + "b[0] 427.0 390.0 381.0 1.00 \n", + "b[1] 257.0 360.0 710.0 1.02 \n", + "b[2] 379.0 352.0 370.0 1.01 \n", + "b[3] 364.0 364.0 487.0 1.01 \n", + "b[4] 360.0 345.0 585.0 1.01 \n", + "log_sigma 197.0 184.0 127.0 1.02 " + ] + }, + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_7_5:\n", + " mass_std = pm.Data('mass_std', brains.mass_std)\n", + "\n", + " a = pm.Normal('a', 0.5, 1)\n", + " b = pm.Normal('b', 0, 10, shape=5)\n", + " \n", + " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", + " b[1] * mass_std**2 + b[2] * mass_std**3 + \n", + " b[3] * mass_std**4 + b[4] * mass_std**5))\n", + " log_sigma = pm.Normal('log_sigma', 0, 1)\n", + "\n", + " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", + " \n", + " m_7_5_trace = pm.sample(1000, tune=1000)\n", + "\n", + "az.summary(m_7_5_trace, credible_interval=0.89, var_names=['~mu'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.9" + ] + }, + { + "cell_type": "code", + "execution_count": 284, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [b, a]\n", + "Sampling 2 chains, 999 divergences: 100%|██████████| 4000/4000 [01:41<00:00, 39.50draws/s] \n", + "The chain reached the maximum tree depth. Increase max_treedepth, increase target_accept or reparameterize.\n", + "The chain contains only diverging samples. The model is probably misspecified.\n", + "The acceptance probability does not match the target. It is 4.146927712505e-311, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "The rhat statistic is larger than 1.4 for some parameters. The sampler did not converge.\n", + "The estimated number of effective samples is smaller than 200 for some parameters.\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.9010.3940.5011.2940.2770.2342.02.03.0174.02.23
b[0]0.8770.0110.8630.8960.0040.00310.010.027.0164.02.23
b[1]0.9260.7730.1541.7300.5440.4602.02.03.02.02.23
b[2]-0.1330.483-0.6430.3500.3400.2872.02.03.0195.02.23
b[3]-3.4730.042-3.545-3.3980.0030.002191.0191.0216.0170.02.23
b[4]-0.8850.540-1.425-0.3270.3800.3222.02.03.02.02.23
b[5]1.9790.3561.6032.3340.2500.2122.02.03.0192.02.23
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "a 0.901 0.394 0.501 1.294 0.277 0.234 2.0 2.0 \n", + "b[0] 0.877 0.011 0.863 0.896 0.004 0.003 10.0 10.0 \n", + "b[1] 0.926 0.773 0.154 1.730 0.544 0.460 2.0 2.0 \n", + "b[2] -0.133 0.483 -0.643 0.350 0.340 0.287 2.0 2.0 \n", + "b[3] -3.473 0.042 -3.545 -3.398 0.003 0.002 191.0 191.0 \n", + "b[4] -0.885 0.540 -1.425 -0.327 0.380 0.322 2.0 2.0 \n", + "b[5] 1.979 0.356 1.603 2.334 0.250 0.212 2.0 2.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "a 3.0 174.0 2.23 \n", + "b[0] 27.0 164.0 2.23 \n", + "b[1] 3.0 2.0 2.23 \n", + "b[2] 3.0 195.0 2.23 \n", + "b[3] 216.0 170.0 2.23 \n", + "b[4] 3.0 2.0 2.23 \n", + "b[5] 3.0 192.0 2.23 " + ] + }, + "execution_count": 284, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# chains occasionally fail because this is (intentionally) such a bad model.\n", + "with pm.Model() as m_7_6:\n", + " mass_std = pm.Data('mass_std', brains.mass_std)\n", + "\n", + " a = pm.Normal('a', 0.5, 1)\n", + " b = pm.Normal('b', 0, 10, shape=6)\n", + " \n", + " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", + " b[1] * mass_std**2 + b[2] * mass_std**3 + \n", + " b[3] * mass_std**4 + b[4] * mass_std**5 +\n", + " b[5] * mass_std**6))\n", + " log_sigma = np.log(0.001)\n", + " \n", + " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", + " \n", + " m_7_6_trace = pm.sample(1000, tune=1000)\n", + "\n", + "az.summary(m_7_6_trace, credible_interval=0.89, var_names=['~mu'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.10\n", + "\n", + "The chapter gives code to produce the first panel of Figure 7.3. Here, produce the entire figure by looping over models 7.1-7.6.\n", + "\n", + "To sample the posterior predictive on a new independent variable we make use of theano SharedVariable objects, as outlined [here](https://docs.pymc.io/notebooks/data_container.html)" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 2000/2000 [00:04<00:00, 450.45it/s]\n", + "100%|██████████| 2000/2000 [00:04<00:00, 419.53it/s]\n", + "100%|██████████| 2000/2000 [00:05<00:00, 335.81it/s]\n", + "100%|██████████| 2000/2000 [00:05<00:00, 381.01it/s]\n", + "100%|██████████| 2000/2000 [00:04<00:00, 415.81it/s]\n", + "100%|██████████| 2000/2000 [00:03<00:00, 529.35it/s]\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "models = [m_7_1, m_7_2, m_7_3, m_7_4, m_7_5, m_7_6]\n", + "traces = [m_7_1_trace, m_7_2_trace, m_7_3_trace, m_7_4_trace, m_7_5_trace, m_7_6_trace]\n", + "nsamples = 2000\n", + "\n", + "mass_plot = np.linspace(33, 64, 100)\n", + "mass_new = (mass_plot - brains.mass.mean()) / brains.mass.std()\n", + "\n", + "# sample posterior predictive\n", + "post_preds = []\n", + "for model, trace in zip(models, traces):\n", + " with model:\n", + " pm.set_data({'mass_std': mass_new}) # update shared variable with predictive independent variable\n", + " post_preds.append(pm.sample_posterior_predictive(trace, samples=nsamples)['brain_std'])\n", + " \n", + "# draw plot\n", + "fig, axs = plt.subplots(3, 2, figsize=[6, 9])\n", + "\n", + "for ax, post_pred in zip(axs.flat, post_preds):\n", + " post_pred *= brains.brain.max() # scale back to original data\n", + " az.plot_hpd(mass_plot, post_pred, credible_interval=0.89, ax=ax, color='k', smooth=True)\n", + " ax.plot(mass_plot, np.mean(post_pred, 0), color='k')\n", + " \n", + " ax.scatter(brains.mass, brains.brain)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Much larger uncertainties than in the book because we're using MCMC posterior prediction, rather than OLS." + ] + }, + { + "cell_type": "code", + "execution_count": 303, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 7.4\n", + "\n", + "# this code taken from PyMC3 port of Rethinking/Chp_06.ipynb\n", + "\n", + "f, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(8,3))\n", + "ax1.scatter(brains.mass, brains.brain, alpha=0.8)\n", + "ax2.scatter(brains.mass, brains.brain, alpha=0.8)\n", + "for i in range(len(brains)):\n", + " d_new = brains.drop(brains.index[-i])\n", + " m0 = smf.ols('brain ~ mass', d_new).fit()\n", + " # need to calculate regression line\n", + " # need to add intercept term explicitly\n", + " x = sm.add_constant(d_new.mass) # add constant to new data frame with mass\n", + " x_pred = pd.DataFrame({'mass': np.linspace(x.mass.min() - 10, x.mass.max() + 10, 50)}) # create linspace dataframe\n", + " x_pred2 = sm.add_constant(x_pred) # add constant to newly created linspace dataframe\n", + " y_pred = m0.predict(x_pred2) # calculate predicted values\n", + " ax1.plot(x_pred, y_pred, 'gray', alpha=.5)\n", + " ax1.set_ylabel('body mass (kg)', fontsize=12);\n", + " ax1.set_xlabel('brain volume (cc)', fontsize=12)\n", + " ax1.set_title('Underfit model')\n", + " \n", + " # fifth order model\n", + " m1 = smf.ols('brain ~ mass + I(mass**2) + I(mass**3) + I(mass**4) + I(mass**5)', data=d_new).fit()\n", + " x = sm.add_constant(d_new.mass) # add constant to new data frame with mass\n", + " x_pred = pd.DataFrame({'mass': np.linspace(x.mass.min()-10, x.mass.max()+10, 200)}) # create linspace dataframe\n", + " x_pred2 = sm.add_constant(x_pred) # add constant to newly created linspace dataframe\n", + " y_pred = m1.predict(x_pred2) # calculate predicted values from fitted model\n", + " ax2.plot(x_pred, y_pred, 'gray', alpha=.5)\n", + " ax2.set_xlim(32,62)\n", + " ax2.set_ylim(-250, 2200)\n", + " ax2.set_ylabel('body mass (kg)', fontsize=12);\n", + " ax2.set_xlabel('brain volume (cc)', fontsize=12)\n", + " ax2.set_title('Overfit model')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.11 - this is R specific notation for dropping rows" + ] + }, + { + "cell_type": "code", + "execution_count": 305, + "metadata": {}, + "outputs": [], + "source": [ + "brains_new = brains.drop(brains.index[-1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.12" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.6108643020548935" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "p = np.array([0.3, 0.7])\n", + "-np.sum(p * np.log(p))" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.315, 1.22, 'q = p')" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 7.5\n", + "p = np.array([0.3, 0.7])\n", + "q = np.arange(0.01, 1, 0.01)\n", + "DKL = np.sum(p * np.log(p / np.array([q, 1-q]).T), 1)\n", + "\n", + "plt.plot(q, DKL)\n", + "plt.xlabel('q[1]')\n", + "plt.ylabel('Divergence of q from p')\n", + "plt.axvline(0.3, ls='dashed', color='k')\n", + "plt.text(0.315, 1.22, 'q = p')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.13 & 7.14" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.special import logsumexp" + ] + }, + { + "cell_type": "code", + "execution_count": 245, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 3000/3000 [00:03<00:00, 880.27it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "array([ 0.10285421, 0.10147813, 0.0734532 , 0.11715719, 0.03949729,\n", + " -0.01926021, -0.49054952])" + ] + }, + "execution_count": 245, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# does PyMC3 have a way to give us lppd directly?\n", + "\n", + "n_samples = 3000\n", + "\n", + "with m_7_1:\n", + " pm.set_data({'mass_std': brains.mass_std})\n", + " post_pred = pm.sample_posterior_predictive(m_7_1_trace, n_samples, var_names=['log_sigma', 'brain_std'])\n", + "\n", + "ns, n = post_pred['brain_std'].shape\n", + "\n", + "# this approach for calculating lppd isfrom 7.14\n", + "ll = np.zeros((n, ns))\n", + "for s in range(ns):\n", + " logprob = stats.norm.logpdf(brains.brain_std, post_pred['brain_std'][s], np.exp(post_pred['log_sigma'][s])) # this does the work of `sim`\n", + " ll[:, s] = logprob\n", + "\n", + "lppd = np.zeros(n)\n", + "for i in range(n):\n", + " lppd[i] = logsumexp(ll[i]) - np.log(ns)\n", + "\n", + "lppd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These values are all lower than the book. Presumably this is because our credible interval is so much wider?" + ] + }, + { + "cell_type": "code", + "execution_count": 246, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sanity check: plotting the predictions coloured by lppd\n", + "plt.scatter(brains.mass_std, np.mean(p_brain_std, 0), c=lppd, cmap=plt.cm.Reds_r, edgecolors='k')\n", + "plt.scatter(brains.mass_std, brains.brain_std)\n", + "\n", + "for i, (mass, brain, pbrain, ilppd) in enumerate(zip(brains.mass_std, brains.brain_std, np.mean(p_brain_std, 0), lppd)):\n", + " plt.annotate(f'{ilppd:.2f}', (mass + 0.03, (pbrain + brain) / 2), va='center')\n", + " plt.plot([mass, mass], [brain, pbrain], ls='dashed', zorder=-2, c=(0,0,0,0.4))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.15" + ] + }, + { + "cell_type": "code", + "execution_count": 285, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[a, b]" + ] + }, + "execution_count": 285, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "m_7_6.vars" + ] + }, + { + "cell_type": "code", + "execution_count": 286, + "metadata": {}, + "outputs": [], + "source": [ + "# make an lppd function that can be applied to all models (from code above)\n", + "def lppd(model, trace, n_samples=1e4):\n", + " n_samples = int(n_samples)\n", + " \n", + " pm.set_data({'mass_std': brains.mass_std}, model)\n", + " if 'log_sigma' in model.vars:\n", + " post_pred = pm.sample_posterior_predictive(trace, n_samples, model, var_names=['log_sigma', 'brain_std'])\n", + " else:\n", + " post_pred = pm.sample_posterior_predictive(trace, n_samples, model, var_names=['brain_std'])\n", + " post_pred['log_sigma'] = np.full(n_samples, np.log(0.001))\n", + "\n", + " ns, n = post_pred['brain_std'].shape\n", + "\n", + " # this approach for calculating lppd isfrom 7.14\n", + " ll = np.zeros((n, ns))\n", + " for s in range(ns):\n", + " logprob = stats.norm.logpdf(brains.brain_std, post_pred['brain_std'][s], np.exp(post_pred['log_sigma'][s])) # this does the work of `sim`\n", + " ll[:, s] = logprob\n", + "\n", + " lppd = np.zeros(n)\n", + " for i in range(n):\n", + " lppd[i] = logsumexp(ll[i]) - np.log(ns)\n", + "\n", + " return lppd" + ] + }, + { + "cell_type": "code", + "execution_count": 296, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1000/1000 [00:01<00:00, 866.72it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 921.93it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 711.11it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 900.56it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 891.00it/s]\n", + "100%|██████████| 1000/1000 [00:00<00:00, 1173.12it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "array([ 1.02330063e+00, 1.33513810e+00, -2.98818210e-02, -1.49244899e+00,\n", + " -9.00184731e+00, 3.81378790e+01])" + ] + }, + "execution_count": 296, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lppds = np.array(list(map(lppd, models, traces, [1000] * len(models))))\n", + "\n", + "lppds.sum(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.16\n", + "\n", + "This relies on the `sim.train.test` function in the `rethinking` package. [This](https://github.com/rmcelreath/rethinking/blob/master/R/sim_train_test.R) is the original function.\n", + "\n", + "The python port of this function below is from [Rethinking/Chp_06](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb) Code 6.12." + ] + }, + { + "cell_type": "code", + "execution_count": 306, + "metadata": {}, + "outputs": [], + "source": [ + "def sim_train_test(N=20, k=3, rho=[0.15, -0.4], b_sigma=100):\n", + " \n", + " n_dim = 1 + len(rho)\n", + " if n_dim < k:\n", + " n_dim = k\n", + " Rho = np.diag(np.ones(n_dim))\n", + " Rho[0, 1:3:1] = rho\n", + " i_lower = np.tril_indices(n_dim, -1)\n", + " Rho[i_lower] = Rho.T[i_lower]\n", + " \n", + " x_train = stats.multivariate_normal.rvs(cov=Rho, size=N)\n", + " x_test = stats.multivariate_normal.rvs(cov=Rho, size=N)\n", + " \n", + " mm_train = np.ones((N,1))\n", + " \n", + " np.concatenate([mm_train, x_train[:, 1:k]], axis=1)\n", + " \n", + " #Using pymc3\n", + " \n", + " with pm.Model() as m_sim:\n", + " vec_V = pm.MvNormal('vec_V', mu=0, cov=b_sigma * np.eye(n_dim), \n", + " shape=(1, n_dim), testval=np.random.randn(1, n_dim)*.01)\n", + " mu = pm.Deterministic('mu', 0 + pm.math.dot(x_train, vec_V.T))\n", + " y = pm.Normal('y', mu=mu, sd=1, observed=x_train[:, 0])\n", + "\n", + " with m_sim:\n", + " trace_m_sim = pm.sample()\n", + " \n", + " vec = pm.summary(trace_m_sim)['mean'][:n_dim]\n", + " vec = np.array([i for i in vec]).reshape(n_dim, -1)\n", + " \n", + " dev_train = - 2 * sum(stats.norm.logpdf(x_train, loc = np.matmul(x_train, vec), scale = 1)) \n", + " \n", + " mm_test = np.ones((N,1))\n", + " \n", + " mm_test = np.concatenate([mm_test, x_test[:, 1:k +1]], axis=1)\n", + " \n", + " dev_test = - 2 * sum(stats.norm.logpdf(x_test[:,0], loc = np.matmul(mm_test, vec), scale = 1)) \n", + " \n", + " return np.mean(dev_train), np.mean(dev_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 307, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 804.91draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 717.62draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 635.72draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 688.01draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 880.02draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 726.00draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 771.70draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 725.15draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 822.25draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 809.24draws/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 600.94draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 814.15draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 746.54draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 847.09draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 922.82draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 923.64draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 645.91draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 592.33draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 675.56draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 830.12draws/s] \n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 825.55draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 768.90draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 622.28draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 609.42draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 794.57draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 661.12draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 777.93draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 769.53draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 744.80draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 656.43draws/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 587.68draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 840.23draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 880.38draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 900.26draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 821.45draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 913.85draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 889.20draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 852.95draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 787.58draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 753.84draws/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "6\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 820.56draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 799.46draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 808.83draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 770.90draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 794.18draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 671.90draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 607.80draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 689.48draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 718.25draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [vec_V]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 726.22draws/s]\n" + ] + } + ], + "source": [ + "n = 20\n", + "tries = 10\n", + "param = 6\n", + "r = np.zeros(shape=(param - 1, 4))\n", + "\n", + "train = []\n", + "test = []\n", + "\n", + "for j in range(2, param + 1):\n", + " print(j)\n", + " for i in range(1, tries + 1):\n", + " tr, te = sim_train_test(N=n, k=param)\n", + " train.append(tr), test.append(te)\n", + " r[j -2, :] = np.mean(train), np.std(train, ddof=1), np.mean(test), np.std(test, ddof=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.17" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# multiprocessing version? must be able to do this with PyMC3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.18" + ] + }, + { + "cell_type": "code", + "execution_count": 308, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "num_param = np.arange(2, param + 1)\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(num_param, r[:, 0], color='C0')\n", + "plt.xticks(num_param)\n", + "\n", + "for j in range(param - 1):\n", + " plt.vlines(num_param[j], r[j,0] - r[j, 1], r[j,0] + r[j,1], color='mediumblue', \n", + " zorder=-1, alpha=0.80)\n", + "\n", + "plt.scatter(num_param + 0.1, r[:, 2], facecolors='none', edgecolors='k')\n", + "\n", + "for j in range(param - 1):\n", + " plt.vlines(num_param[j] + 0.1, r[j,2] - r[j, 3], r[j,2] + r[j,3], color='k', \n", + " zorder=-2, alpha=0.70) \n", + "\n", + "dist = 0.20\n", + "plt.text(num_param[1] - dist, r[1, 0] - dist, 'in', color='C0', fontsize=13)\n", + "plt.text(num_param[1] + dist, r[1, 2] - dist, 'out', color='k', fontsize=13)\n", + "plt.text(num_param[1] + dist, r[1, 2] + r[1,3] - dist, '+1 SD', color='k', fontsize=10)\n", + "plt.text(num_param[1] + dist, r[1, 2] - r[1,3] - dist, '+1 SD', color='k', fontsize=10)\n", + "plt.xlabel('Number of parameters', fontsize=14)\n", + "plt.ylabel('Deviance', fontsize=14)\n", + "plt.title('N = {}'.format(n), fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These uncertainties are a *lot* larger than in the book... MCMC vs OLS again?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.19\n", + "\n", + "7.19 to 7.25 transcribed directly from 6.15-6.20 in [Chapter 6 of 1st Edition](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb)." + ] + }, + { + "cell_type": "code", + "execution_count": 312, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('Data/cars.csv', sep=',', index_col=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, b, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:40<00:00, 747.41draws/s]\n", + "The acceptance probability does not match the target. It is 0.879005080495801, but should be close to 0.8. Try to increase the number of tuning steps.\n" + ] + } + ], + "source": [ + "with pm.Model() as m :\n", + " a = pm.Normal('a', mu=0, sd=100)\n", + " b = pm.Normal('b', mu=0, sd=10)\n", + " sigma = pm.Uniform('sigma', 0, 30)\n", + " mu = pm.Deterministic('mu', a + b * data['speed'])\n", + " dist = pm.Normal('dist', mu=mu, sd=sigma, observed = data['dist'])\n", + " m = pm.sample(5000, tune=10000)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.20" + ] + }, + { + "cell_type": "code", + "execution_count": 315, + "metadata": {}, + "outputs": [], + "source": [ + "n_samples = 1000\n", + "n_cases = data.shape[0]\n", + "logprob = np.zeros((n_cases, n_samples))\n", + "\n", + "for s in range(0, n_samples):\n", + " mu = m['a'][s] + m['b'][s] * data['speed']\n", + " p_ = stats.norm.logpdf(data['dist'], loc=mu, scale=m['sigma'][s])\n", + " logprob[:,s] = p_" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.21" + ] + }, + { + "cell_type": "code", + "execution_count": 321, + "metadata": {}, + "outputs": [], + "source": [ + "n_cases = data.shape[0]\n", + "lppd = np.zeros((n_cases))\n", + "for a in range(1, n_cases):\n", + " lppd[a,] = logsumexp(logprob[a,]) - np.log(n_samples)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.22" + ] + }, + { + "cell_type": "code", + "execution_count": 323, + "metadata": {}, + "outputs": [], + "source": [ + "pWAIC = np.zeros((n_cases))\n", + "for i in range(1, n_cases):\n", + " pWAIC[i,] = np.var(logprob[i,])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.23" + ] + }, + { + "cell_type": "code", + "execution_count": 324, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "412.260042568718" + ] + }, + "execution_count": 324, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "- 2 * (sum(lppd) - sum(pWAIC))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.24" + ] + }, + { + "cell_type": "code", + "execution_count": 325, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.996077348439982" + ] + }, + "execution_count": 325, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "waic_vec = - 2 * (lppd - pWAIC)\n", + "(n_cases * np.var(waic_vec))**0.5" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Setup for Code 7.25+\n", + "\n", + "Have to reproduce m6.6-m6.8 from Code 6.13-6.17 in Chapter 6" + ] + }, + { + "cell_type": "code", + "execution_count": 327, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, p]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1519.38draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bf, bt, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 615.39draws/s]\n", + "The acceptance probability does not match the target. It is 0.9045666582832725, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bt, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 686.39draws/s]\n", + "The acceptance probability does not match the target. It is 0.8786160790042132, but should be close to 0.8. Try to increase the number of tuning steps.\n" + ] + } + ], + "source": [ + "# d = pd.read_csv('Data/milk.csv', sep=';')\n", + "# d['neocortex'] = d['neocortex.perc'] / 100\n", + "# d.dropna(inplace=True)\n", + "\n", + "# number of plants\n", + "N = 100\n", + "# simulate initial heights\n", + "h0 = np.random.normal(10, 2, N)\n", + "# assign treatments and simulate fungus and growth\n", + "treatment = np.repeat([0,1], N/2)\n", + "fungus = np.random.binomial(n=1, p=0.5 - treatment * 0.4, size=N)\n", + "h1 = h0 + np.random.normal(5 - 3 * fungus, size=N)\n", + "# compose a clean data frame\n", + "d = pd.DataFrame.from_dict({'h0': h0, 'h1': h1, 'treatment': treatment, 'fungus': fungus})\n", + "\n", + "with pm.Model() as m_6_6:\n", + " p = pm.Lognormal('p', 0, 0.25)\n", + " \n", + " mu = pm.Deterministic('mu', p * d.h0)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", + " \n", + " m_6_6_trace = pm.sample()\n", + "\n", + "with pm.Model() as m_6_7:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bt = pm.Normal('bt', 0, 0.5)\n", + " bf = pm.Normal('bf', 0, 0.5)\n", + " \n", + " p = a + bt * d.treatment + bf * d.fungus\n", + " \n", + " mu = pm.Deterministic('mu', p * d.h0)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", + " \n", + " m_6_7_trace = pm.sample()\n", + "\n", + "with pm.Model() as m_6_8:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bt = pm.Normal('bt', 0, 0.5)\n", + " \n", + " p = a + bt * d.treatment\n", + " \n", + " mu = pm.Deterministic('mu', p * d.h0)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", + " \n", + " m_6_8_trace = pm.sample()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.25" + ] + }, + { + "cell_type": "code", + "execution_count": 333, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Computed from 1000 by 100 log-likelihood matrix\n", + "\n", + " Estimate SE\n", + "deviance_waic 345.65 14.74\n", + "p_waic 3.96 -" + ] + }, + "execution_count": 333, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.waic(m_6_7_trace, m_6_7, scale='deviance')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.26" + ] + }, + { + "cell_type": "code", + "execution_count": 338, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
rankwaicp_waicd_waicweightsedsewarningwaic_scale
m_6_70345.6483.957850114.73620Falsedeviance
m_6_81417.1253.0354871.47763.01194e-1615.790112.5778Truedeviance
m_6_62441.1761.7864795.52831.80427e-2111.478812.1305Falsedeviance
\n", + "
" + ], + "text/plain": [ + " rank waic p_waic d_waic weight se dse warning \\\n", + "m_6_7 0 345.648 3.95785 0 1 14.7362 0 False \n", + "m_6_8 1 417.125 3.03548 71.4776 3.01194e-16 15.7901 12.5778 True \n", + "m_6_6 2 441.176 1.78647 95.5283 1.80427e-21 11.4788 12.1305 False \n", + "\n", + " waic_scale \n", + "m_6_7 deviance \n", + "m_6_8 deviance \n", + "m_6_6 deviance " + ] + }, + "execution_count": 338, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "compare_df = az.compare({'m_6_6' : m_6_6_trace,\n", + " 'm_6_7' : m_6_7_trace,\n", + " 'm_6_8' : m_6_8_trace,}, method='pseudo-BMA', ic='waic', scale='deviance')\n", + "compare_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.27\n", + "\n", + "I don't understand this code block in the book. First, it calls `waic_m6.6`, which isn't defined until 7.30. Next, it asks for the length of `waic_m6.6`, although it seems from the `diff_` output that these are all of length 1. Finally, I'm not sure what parameters `az.waic` needs to produce the same numbers as the `rethinking` `WAIC` function. From the above we get similar numbers when `scale='deviance'`, but in this block it produces a completely different number (-71 here vs 10 in the book).\n", + "\n", + "`pointwise=True` isn't doing what I expect it to. I would expect the function to return an array the same length as the data.\n", + "\n", + "What have I done wrong?" + ] + }, + { + "cell_type": "code", + "execution_count": 361, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-71.47755426733613" + ] + }, + "execution_count": 361, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "waic_m_6_7 = az.waic(m_6_7_trace, pointwise=True, scale='deviance')\n", + "waic_m_6_8 = az.waic(m_6_8_trace, pointwise=True, scale='deviance')\n", + "\n", + "waic_m_6_7.waic - waic_m_6_8.waic" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.28" + ] + }, + { + "cell_type": "code", + "execution_count": 340, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([12.96, 67.04])" + ] + }, + "execution_count": 340, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "40.0 + np.array([-1, 1]) * 10.4 * 2.6" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.29" + ] + }, + { + "cell_type": "code", + "execution_count": 339, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 339, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_compare(compare_df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.30\n", + "\n", + "As with 7.27, can't make sense of this." + ] + }, + { + "cell_type": "code", + "execution_count": 377, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.0" + ] + }, + "execution_count": 377, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "waic_m_6_6 = az.waic(m_6_6_trace, pointwise=True, scale='deviance')\n", + "\n", + "diff_m6_6_m6_8 = waic_m_6_6.waic - waic_m_6_8.waic\n", + "\n", + "np.sqrt(1 * np.var( diff_m6_6_m6_8))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.31\n", + "\n", + "dSE is calculated by compare above, but `rethinking` produces a pairwise comparison.\n", + "\n", + "Note: the **must** be a better way to do this." + ] + }, + { + "cell_type": "code", + "execution_count": 395, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + } + ], + "source": [ + "ms = {'m_6_6' : m_6_6_trace,\n", + " 'm_6_7' : m_6_7_trace,\n", + " 'm_6_8' : m_6_8_trace}\n", + "\n", + "# this is ugly, but I can'y see a clear way to calculate pairwise WAIC dSE using az.\n", + "\n", + "dSEs = pd.DataFrame(columns=ms.keys(), index=ms.keys())\n", + "\n", + "for k in ms.keys():\n", + " for l in ms.keys():\n", + " if k == l:\n", + " continue\n", + " comp = az.compare({k: ms[k], l: ms[l]}, method='pseudo-BMA', ic='waic', scale='deviance')\n", + " dSEs.loc[k, l] = max(comp.loc[:, 'dse'])" + ] + }, + { + "cell_type": "code", + "execution_count": 397, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
m_6_6m_6_7m_6_8
m_6_6NaN12.130511.6
m_6_712.1305NaN12.5778
m_6_811.612.5778NaN
\n", + "
" + ], + "text/plain": [ + " m_6_6 m_6_7 m_6_8\n", + "m_6_6 NaN 12.1305 11.6\n", + "m_6_7 12.1305 NaN 12.5778\n", + "m_6_8 11.6 12.5778 NaN" + ] + }, + "execution_count": 397, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# these numbers are quite different from those in the book\n", + "dSEs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.32" + ] + }, + { + "cell_type": "code", + "execution_count": 405, + "metadata": {}, + "outputs": [], + "source": [ + "d = pd.read_csv('Data/Primates301.csv', sep=';')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.33" + ] + }, + { + "cell_type": "code", + "execution_count": 407, + "metadata": {}, + "outputs": [], + "source": [ + "def scale(x):\n", + " return (x - np.nanmean(x)) / np.nanstd(x)\n", + "\n", + "d.loc[:, 'log_L'] = scale(np.log(d.loc[:, 'longevity']))\n", + "d.loc[:, 'log_B'] = scale(np.log(d.loc[:, 'brain']))\n", + "d.loc[:, 'log_M'] = scale(np.log(d.loc[:, 'body']))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.34" + ] + }, + { + "cell_type": "code", + "execution_count": 420, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "log_L 181\n", + "log_B 117\n", + "log_M 63\n", + "dtype: int64" + ] + }, + "execution_count": 420, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d.loc[:, ['log_L', 'log_B', 'log_M']].isna().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.35" + ] + }, + { + "cell_type": "code", + "execution_count": 425, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(112, 19)" + ] + }, + "execution_count": 425, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ind = np.all(~d.loc[:, ['log_L', 'log_B', 'log_M']].isna(), 1)\n", + "d2 = d.loc[ind]\n", + "d2.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.36" + ] + }, + { + "cell_type": "code", + "execution_count": 426, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bB, bM, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 560.20draws/s]\n" + ] + } + ], + "source": [ + "with pm.Model() as m_7_8:\n", + " a = pm.Normal('a', 0, 0.1)\n", + " bM = pm.Normal('bM', 0, 0.5)\n", + " bB = pm.Normal('bB', 0, 0.5)\n", + " \n", + " mu = a + bM * d2.log_M + bB * d2.log_B\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_L)\n", + " \n", + " m_7_8_trace = pm.sample()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.37" + ] + }, + { + "cell_type": "code", + "execution_count": 428, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bB, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1312.15draws/s]\n" + ] + } + ], + "source": [ + "with pm.Model() as m_7_9:\n", + " a = pm.Normal('a', 0, 0.1)\n", + " bB = pm.Normal('bB', 0, 0.5)\n", + " \n", + " mu = a + bB * d2.log_B\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_L)\n", + " \n", + " m_7_9_trace = pm.sample()" + ] + }, + { + "cell_type": "code", + "execution_count": 427, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bM, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1107.98draws/s]\n" + ] + } + ], + "source": [ + "with pm.Model() as m_7_10:\n", + " a = pm.Normal('a', 0, 0.1)\n", + " bM = pm.Normal('bM', 0, 0.5)\n", + " \n", + " mu = a + bM * d2.log_M\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_L)\n", + " \n", + " m_7_10_trace = pm.sample()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.38" + ] + }, + { + "cell_type": "code", + "execution_count": 429, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
rankwaicp_waicd_waicweightsedsewarningwaic_scale
m_7_80217.2553.3833900.54102914.10390Falsedeviance
m_7_91217.5872.603120.3317780.45832814.30741.33064Falsedeviance
m_7_102230.7262.5583313.47060.00064285415.69386.63304Falsedeviance
\n", + "
" + ], + "text/plain": [ + " rank waic p_waic d_waic weight se dse \\\n", + "m_7_8 0 217.255 3.38339 0 0.541029 14.1039 0 \n", + "m_7_9 1 217.587 2.60312 0.331778 0.458328 14.3074 1.33064 \n", + "m_7_10 2 230.726 2.55833 13.4706 0.000642854 15.6938 6.63304 \n", + "\n", + " warning waic_scale \n", + "m_7_8 False deviance \n", + "m_7_9 False deviance \n", + "m_7_10 False deviance " + ] + }, + "execution_count": 429, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "compare_df = az.compare({'m_7_8' : m_7_8_trace,\n", + " 'm_7_9' : m_7_9_trace,\n", + " 'm_7_10' : m_7_10_trace,}, method='pseudo-BMA', ic='waic', scale='deviance')\n", + "compare_df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.39" + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 430, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "az.plot_compare(compare_df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.40" + ] + }, + { + "cell_type": "code", + "execution_count": 435, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([],\n", + " dtype=object)" + ] + }, + "execution_count": 435, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAysAAAE3CAYAAACq3N6VAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdeXyNd/7//2dWEUkkxBrGVmKLvdYiYh2qluiP6ZRSlI6llmpptZgqVa2lCZ1qap2ilUinorQo0aAoRavCx9rS2hpJk0ZkO98//M6pI0HOOUnOSTzut5vbbXIt7+t1vaXmPM/1fr8vJ4PBYBAAAAAAOBhnexcAAAAAALkhrAAAAABwSIQVAAAAAA6JsAIAAADAIRFWAAAAADgkwgoAAAAAh0RYAQAAAOCQCCsAAAAAHBJhBQAAAIBDIqwAAJBHGzduVGBgoKZOnWq2ff/+/QoMDNTgwYPNtl+8eFGBgYEKCQmx+FohISEKDAzUxYsXbaoZBSswMFCBgYH2LgMotggrAJAPrl27pjlz5qhbt24KCgpSq1atNHz4cH3zzTcWtbNhwwbTh59XX33V6nrOnDmjyZMn67HHHlNQUJC6dOmiefPm6Y8//sj1+KysLC1evFgdO3ZUw4YN1bt3b3311Vf3bD8+Pl7169fXvHnzrK7RKD09XZ988olGjRqlDh06KCgoSE2bNlXPnj01ffp0HThwwOZr4P6MwWjjxo350t6JEycUFham7du350t7AB5ehBUAsNHJkyfVt29frVq1Sr/99ptq166t0qVLKy4uTiNGjNCyZcvy1E5CQoLeeecdm+v59ttv1b9/f8XExCgrK0u1a9fW9evXtXz5cvXv31/Xr1/Pcc6CBQu0dOlSJScnq0aNGjp79qzGjx+vHTt25HqNf//73ypTpozGjBljU60//PCDevTooddff127du1SZmamateurSpVqui3337Thg0bNHjwYI0aNcqm6xS0kiVLqkaNGqpUqZK9S3EIJ06cUHh4OGEFgM1c7V0AABRlmZmZGj9+vK5fv66WLVtq8eLFKlOmjCRp3759GjNmjBYsWKCmTZvq0UcfvW9bc+bM0R9//KHg4GDt2rXLqnpSUlI0ceJEpaWlafDgwXr55Zfl5uamGzdu6F//+pcOHz6sV199VR988IHpnISEBK1Zs0YBAQH69NNP5e/vr4MHD2rIkCF677331LlzZ7NrfPbZZzp06JDefvtteXl5WVWndDuoDB48WDdv3lS7du00adIkNWzY0LQ/PT1de/bs0ZIlS3To0CGrr1MYGjVqpK1bt9q7DAAodniyAgA22LVrl86fPy93d3e99dZbpqAiSW3atNHo0aNlMBgUHh5+33b27t2rTZs2aeDAgWYf2C21fv16JSQkqFatWpo2bZrc3NwkSX5+fnr33Xfl6uqqXbt26fjx46ZzTp06pVu3bql///7y9/eXJD366KNq3ry54uPjlZKSYjo2JSVF77zzjpo3b64+ffpYXWd6eromTpyomzdv6vHHH1dERESO+3Z3d1enTp306aef6vnnn7f6WgCAoouwAgA2OHz4sCQpKChIAQEBOfZ3795dknTgwAH9/vvvubZx69YtzZw5U2XLltWkSZNsqmfbtm2SpH79+snFxcVsX+XKldWmTRtJ0pdffmnanpCQIEkqW7as2fHlypWTJP3555+mbeHh4UpISNBrr71mU52ff/65fvnlF/n5+WnWrFlydr73/x05Oztr+PDhZtvunHz+7bffasSIEWrVqpUCAwO1f/9+03E3b97UsmXL1L9/fzVr1kyNGzdWnz59FBERofT09FyvZzAYtGHDBvXp00eNGjVSmzZtNHHiRF24cOGeNd5rgv3d7a5Zs0a9e/dW48aN1aZNG02ZMkW//vrrPc+5n2+++UajR49W27Zt1bBhQ3Xo0EHTpk3Tzz//bFV7uQkLC1NgYKDCwsKUnJysN998U8HBwWrYsKG6du2qJUuWKDMz0+yckJAQTZs2TZIUHR1tmoN1r/6x5D7uXrDg008/VWhoqJo2barAwEAlJSWpYcOGql+/fq7DHY3GjRunwMBArV692rTt2rVrWrNmjYYPH66QkBAFBQXp0Ucf1dNPP63PPvvMqv4DYDvCCgDYwDhhvUKFCrnuN27Pzs7WDz/8kOsxS5cu1YULF/TSSy/Jx8fH6loyMzNNT0yaNWuW6zHG7UePHjVtM86zOH/+vNmx586dk6urq3x9fSXdnrT/3//+VwMHDlS9evWsrlOSvvjiC0lSnz59bBpKtnnzZg0bNkzHjh1T1apVVbFiRdO+K1euaMCAAXr33Xd18uRJ+fv7KyAgQKdPn9b8+fM1dOhQpaWl5Whz1qxZmj59uuLj4+Xv769KlSpp+/btGjBgwH0Dy4PMmjVLs2fPVkpKimrVqqU///xTn3/+uUJDQ3X27FmL2nrzzTc1YsQI7dy5U5JUu3Zt/fnnn9q4caP69etnCtH5JTk5WQMHDtTatWvl6+ur8uXL6+eff9Z7772nmTNnmh3bsGFDVa9eXdLtANysWTPTnzp16uTbfcyYMUOvvfaafv/9d9WsWVM+Pj4qXbq0HnvsMWVlZWnLli25npeSkqLY2Fi5uLjo73//u2n7hg0bNHv2bH333XdycXFRnTp15OXlpYMHD+rll1/WjBkzrOg5ALYirACADby9vSXd/mCcmzu3nzt3Lsf+M2fO6KOPPlKLFi3Ut29fm2q5dOmSMjIyJElVq1bN9Rjj9js/dNetW1dly5ZVZGSk9u7dq5SUFK1atUonTpxQixYtVKJECUnSG2+8IS8vL02YMMGmOiXp+++/l6QHzuN5kMWLF2vMmDHau3evIiMjtWvXLjVt2lTZ2dl64YUXdPr0afXq1UuxsbH66quv9MUXX2jHjh1q0aKFDh06pMWLF5u1t2PHDq1bt07u7u4KCwvT119/rY0bNyo2NlZ169bVRx99ZFWdV65cUWRkpBYsWKCdO3ea2mzbtq0SEhL08ssvy2Aw5Kmt9evXa/Xq1apSpYpWr16tvXv3Kjo6WgcOHNCECRNM85Zu3bplVa25Wbt2rcqUKaOvv/5an332mb7++mu9//77cnFx0YYNG3TmzBnTse+9955pQYQOHTpo3bp1pj93PpGz5T4uX76szz//XEuXLtWuXbsUFRVlWnmvd+/ekm4H2dxs27ZNt27dUqtWrUxPDyWpZcuWWrVqlQ4fPqxt27YpKipKO3fu1P/+9z/VqlVL69evZ2U6wA4IKwBgg6CgIEnSjz/+qN9++y3H/juX/01KSjLbZzAY9Prrr8tgMOTLt7Z3tl+6dOlcjzE+ubnz2JIlS2rSpElKSUnRsGHD1Lx5c82ZM0eenp6m94ls2bJF+/bt06RJk0xtZ2Rk6OrVq/ccTnUvycnJSk1NlSRVqVLFonPv1qFDB40dO1aurrfXi3FycpK7u7t27dql77//XkFBQXr77bdNc3EkqWLFilq4cKE8PT21fv16s6crxjAyePBgdevWzbS9TJkyWrBggdV1ZmZmatCgQerVq5dpm5+fn9555x2VKFFCx44dMxu+di/p6ekKDw+Xi4uLwsLC1KpVK9M+FxcXPf/88+revbsuX758zycL1nBxcdE777xj9gQxJCTEtPiCpUt023ofWVlZGj9+vNniDx4eHqa6PD099f333+f6jpqYmBhJMvu7kKQWLVqodevWOYZP1q1b1xSyNm3aZNF9ArAdYQUAbNC5c2eVL19et27d0uTJk3X16lXTvl27duk///mP6ee7vyGOjIzUd999pyFDhuQYHmONO0ODcWL93dzd3XOtZcCAAfrwww/197//Xa1atdLAgQMVFRWlevXq6ebNm3r77bfVsGFDDRgwQAaDQQsXLlTLli3Vvn17tWrVSgsWLMjzk4E758B4enpaeptm7vU06s65O8Ygc6fy5csrKChIqamp+vHHH011GZ/4/OMf/8hxTrly5cwCjKX++c9/5thWtmxZ07ymuLi4B7Zx5MgRXbt2TfXr11f9+vVzPcY4n+PgwYNW13q39u3bmw2xMzKG9V9++cWi9vLjPu61wEPJkiVNIcY43NAoISFB3377rdzd3U39fqeUlBR9+umnevnll/Xss8/qqaee0j/+8Q/TkuLx8fF5u0EA+YaliwHABiVKlNDChQv13HPP6dChQ+rUqZNq1KihpKQkXb16VZUrV1a9evV08OBBsw/mxneqVKxYUWPHjs2XWoxBRLr91MM4fOtOxkCT274OHTqoQ4cOObb/5z//0W+//aZFixbJ2dlZS5cu1X/+8x916tRJ3bt311dffaUPPvhAJUuWzNOqXaVKlTL9b+MTFmvVqlUr1+0nT56UdHuokfGb9LsZ5+gYA+bPP/+s7OxslShR4p7D6GrWrGlVnW5ubqpWrVqu+4z3cPecodycOnVK0u0hf7kFKun2kyvp3kMTrXGv/jCufmfp36Ot9+Hn52e28t7devfurU2bNikmJkbPPfecafuWLVuUmZmpLl26mIZwGv30008aNWqU2RcOd7v76SiAgkdYAQAbtWjRQtHR0frggw+0Z88enT9/Xn5+fho0aJBeeOEF04sT7xyKNH/+fCUmJmrx4sVmH95tcefQr6SkJJUvXz7HMcYFAe41TOxuP//8s5YvX65+/fqpcePGysjI0IoVK1StWjUtXbpUzs7O6tOnj3r06KEVK1Zo5MiRuT7JuJO3t7c8PT2Vmpqqixcvqm7duhbcpbmSJUvmut243LLxQ/H9GIeBGZ/4+Pn53fPYO/8OLeHr63vPFc+Mq7Dd+cTpXowf4BMSEkyruN1Lfs5ZudcTMOM95fWpmpGt9/GgJ3Lt2rWTn5+fTp48qdOnT+uRRx6R9Nc8lscff9zs+KysLE2YMEFXr15Vx44dNXLkSD3yyCPy8fGRi4uLLly4oG7duuVY+QxAwSOsAEA+qFatmubMmZNje2ZmpmnoSIMGDUzbf/rpJ0m3J62/8cYbZucYv6WOiYkxvRxyz549D6whICBAbm5uysjI0C+//JJrWDEO17nXt/x3e/PNN1WiRAm9+OKLkqSzZ8/qjz/+0OOPP276oOrs7Kx27dpp7dq1OnfunGrXrv3Adps2bao9e/bo4MGD6tKlS55qsYTxw+yKFSvUtm3bPJ1jDI03bty45zH3Wn76QRITE5WdnZ1rYDF+WM9LaDXeV+/evU1Dk4qigr4PV1dXde/e3fRkbcKECfrtt990+PBhlSpVSp06dTI7/tixY7pw4YICAgIUHh5u9pRSUq7z0QAUDuasAEABiouLU2pqqsqXL28WVoyuX7+e448xrKSlpZm25YWrq6tp/P+9lnw1bm/cuPED29u5c6d27dql8ePHm779N9Z29wdr48/GJzcPYlwy9vPPPzd76WR+MQ6tysuTFaO//e1vcnZ21q1bt3KdmC3J4iWGjTIyMu75/hPjSlrG5X7vx/iE4P/+7/+sqqOwODk53Xd/YdzH3auCxcTEyGAwqEuXLqbJ+EaXLl2SdPsLhbuDisRcFcCeCCsAUEDS09P13nvvSbo9YfvOVYb+97//6eTJk7n+Mc5hGTBggGlbXnXt2lXS7ZfxZWVlme379ddftW/fPkl64ETx9PR0zZkzR3Xq1NFTTz1l2m58J8vdH7yNP99vCNWd+vTpo4CAACUkJGjGjBnKzs6+57EGg8HiJYON9/fJJ5/keThUqVKl1KRJE0m357rc7fr162aru1lq7dq1ObYlJCRo69atkm4PXXqQFi1ayM/PT/Hx8XlaPcxejHOicnuPjVQ499G8eXNVrlxZP//8s44dO2YKLXevAib9tZJYbl8MZGRkmL08EkDhIqwAgI1iY2PNXrIo3R42MmbMGB0/flyPPPKIRowYkW/X27p1q0JCQnKdmPyPf/xDfn5+OnPmjObOnWt678qNGzc0efJkZWZmqkOHDmrYsOF9r/Hhhx/q559/1muvvWY2B6VChQqqVKmSdu7cafq2+eTJk9q5c6fKlSuXp6cD0u3FABYtWiQPDw/FxMRo5MiRphdaGmVkZGj37t0aOHCg3n///Ty1a9S1a1c1adJEZ8+e1ejRo3O8zDE9PV27du0yvWndaPjw4ZKk1atXa/v27abtCQkJevHFFy2em2Hk6uqqtWvXmi3Dm5iYqClTpujWrVtq2LChWrdu/cB2SpQoofHjx0uSXnjhBW3bti1HTadOndL8+fN16NAhq2rND8YJ+T/88INu3ryZY39h3IeTk5N69uwpSQoLC9OJEyfk5+eXayhs3LixXF1ddfjwYbO31ScnJ+vFF1/M89NNAPmPOSsAYKO4uDitXr1apUuXVkBAgG7duqWzZ8/KYDDokUce0fLly3MdWmKt1NRU07CVu3l5eWnhwoUaNWqU1qxZo82bN6tSpUo6e/asbt68qYCAgFzn1tzp119/1YcffqhevXqpZcuWZvucnJw0duxYvfrqqxowYIBq1Kih8+fPKz09XWPGjLnnJPLcNGrUSKtXr9aECRMUFxenuLg4+fv7q0KFCsrIyNDFixdNw87ufJ9GXjg7OyssLEyjRo3S3r171a1bN1WrVk2+vr76888/deHCBWVkZOSYMN+lSxcNHDhQn3zyicaMGaMqVaqodOnSOn36tEqUKKHhw4ebLUedVxUqVFCHDh00YcIEzZ8/X35+fjp9+rTS0tLk6+urt99++4FDp4yeeuop/fbbb1q2bJnGjh0rX19fVa1aVdnZ2bp06ZISExMlyezdJYWtQYMGql69us6fP6/g4GDVqFFDbm5uqlu3rl599dVCu4/evXsrIiJCu3fvliT16NEj1wUgypUrpyFDhmj58uV6+eWXtXjxYlPoz8rK0quvvqqZM2daXQcA6xFWAMBGXbp00bVr13Ts2DGdOXNG7u7uCgoKUs+ePfXPf/4zX4NKXrRp00ZRUVF6//339e233+rUqVOqUKGCunbtqueff/6BK4G99dZbcnJy0ssvv5zr/gEDBujWrVtatWqVzp07p8qVK2vYsGH3XIL2fho3bqwvv/xSGzdu1I4dOxQfH69Tp07Jzc1NlSpVUvPmzdW3b181b97c4rbLly+vTz75RJGRkfriiy906tQp/frrr/L391ejRo3Utm1b09yZO82aNUsNGjTQxx9/rHPnzik1NVUhISGaOHGiTU8rZsyYoZo1a2rDhg36v//7P3l6eqpr166aOHGiAgICLGpr8uTJ6tSpkz7++GMdOnRI8fHxKlWqlCpUqKDOnTure/fuatOmjdW12srZ2VkffPCBFixYoO+++07Hjh3LMSxRKvj7qFu3rh555BGdPn1aUs5VwO700ksvqWLFilq/fr1++eUX3bx5U23atNHzzz9vmrMFoPA5Gax9pg0AAAAABYg5KwAAAAAcEmEFAAAAgEMirAAAAABwSIQVAAAAAA6JsAIAAADAIRFWAAAAADgkwgoAAAAAh8RLIWHm6NGjSk9PN9vm7e2t5ORkO1VU9NF/1qPvbEP/2Yb+sw39Zz36zjb0n20Ks/8effTRBx5DWIGZ9PR0ubi4yMXFxbStZMmSunXrlh2rKtroP+vRd7ah/2xD/9mG/rMefWcb+s82hdV/WVlZeTqOsIIcXFxc5ObmZvrZzc3N7GdYhv6zHn1nG/rPNvSfbeg/69F3tqH/bONo/cecFQAAAAAOibACAAAAwCERVgAAAAA4JMIKAAAAAIdEWAEAAADgkAgrAAAAABwSYQUAAACAQyKsAAAAAHBIhBUAAAAADomwAgAAAMAhEVYAAAAAOCTCCgAAAACHRFgBAAAA4JAIKwAAAAAcEmEFAAAAgEMirAAAAABwSIQVAAAAAA6JsAIAAADAIRFWAAAAADgkwgoAAAAAh0RYAQAAAOCQCCsAAAAAHBJhBQAAAIBDIqwAAAAAcEiEFQAAAAAOibACAAAAwCERVgAAAAA4JFd7FwAAheWXiy66fNlVFStmqmqVLHuXAwAAHoCwAsBqSX84FYlrJKc46cOI0vrphLtpW/166Ro5IkneXgab2y9spX2KXs0AAFiDsAJYIC3N8nNupll3XlEwYlT5QriK7ddwdpZKlZL+PdNJjYOkoz9I89911+Qp5ZSdnQ8lFrI1K67k6bji/LtXGKzpPw+PgqkFAB5WhBUHsn//fg0ZMkRjx47VuHHj7F0OcjF4WAUrz7T2POSH7GxpymQnhQTffkoTEiwZDNKMWUXzCYVlv4f87tnGsv7bsC5vQRIAkDfFLqxMnTpV0dHR9z1m/PjxGjNmjMVtGwwGbdu2TWvWrNG5c+eUnJysihUrqlWrVho5cqSqVq1qbdlWGzx4sA4cOCBJ+vDDD9WhQ4dcj+vXr59++uknSdInn3yiJk2aFFqNgCNoHGT+c5NG9qkDAADkXbELK126dFFAQECu+5YvX67U1FS1b9/eqrbnzZunFStWqFy5curcubO8vLwUHx+vTz/9VDExMVq/fr3q1KljS/lWc3V1VVRUVK5hJT4+Xj/99JNcXV2VmZlph+qKj7wOv7lTaV9fJSUmFkA19mf9k6bCd/SH209UjI4cs1cltsvr72Fx/t0rDPQfANhfsQwrXbp0ybH9xx9/VHh4uOrUqaNGjSz/SvXatWtatWqVAgIC9Pnnn8vLy8u0b+XKlZo7d65WrFihuXPn2lS/tdq3b68dO3boxo0b8vPzM9sXGRkpV1dXtW3bVrt377ZLfcWFNePRS3pIt4rpOPaID64WaPulfUor6Y8km9tZsMhXCxa6yWBwVpNGt4PKwkXZql8vQ5MmFL0Po3n9PSzOv3uFgf4DAPsr0LBy5xyMdu3aaeHChfrxxx9VokQJ9ejRQ1OnTpWHh4d2796tpUuXKj4+Xp6enurXr58mTZokFxeXfKtlw4YNkqQBAwZYdf6lS5eUnZ2tZs2amQUVSQoODtbcuXOVkJBgc51GBw8e1OLFi3X8+HG5ubmpffv2mjJliipWrJjr8aGhodq5c6c2bdqkIUOGmLanp6dr06ZN6tixo3x8fPKtPkAq+FWpfH0lyfZrTJ6QqMXhvpox66/VwBoFZeiFsYnyYWUtAAAcVqG8FPLo0aMaOnSovL29NWjQIFWuXFnr1q3T9OnTtWXLFo0bN06VKlXSwIED5e3trYiICC1btizfrp+WlqbNmzfL3d1dffr0saqNatWqyc3NTYcPH1ZKSorZvtjYWElS69atzbZv3LhRgYGBmjp1qkXXOnLkiIYNGyZfX18NHjxYQUFBiomJ0aBBg3T9+vVcz2nSpIlq1aqljRs3mm3fvn27EhMTFRoaalENQHHi42PQa6/c0IL51/XS5EQtmH9dr71yg6ACAICDK5RhYN98842WLFliGp6VkZGh0NBQxcTEKC4uTmvWrDENzRo3bpy6deumlStXauTIkXJ1tb3ErVu3Kjk5Wb169ZLv7a9qLebn56eJEyfq7bffVs+ePRUSEqJSpUrp1KlT2rdvnwYOHKinn37a5lolKS4uTrNnz9aTTz5p2hYeHq6wsDAtWLBAc+bMyfW8/v37a/78+frpp59Uv359SVJUVJT8/f3VsWNHbdu2LV/qA4qqqlWyeBkkAABFSKE8WWnZsqXZPBI3Nzd1795dBoNBnTp1MptD4uXlpeDgYCUmJury5cv5cv2oqChJMvvwb43hw4frnXfeUXJystatW6eIiAjt3r1bDRs21BNPPCE3Nzez47t27aovvvhCkyZNsug6NWrUyDFcbcSIESpTpow2b96s9PT0XM/r27evaaK9JP3222/au3ev+vTpky+hDwAAAChMhRJWjN/y36l8+dsveqtXr16OfeXKlZMkXbli+3r1Fy5c0MGDB1WlSpUcw7QstXTpUk2bNk2jRo1SbGysvv/+e61du1ZZWVkaMmSIvvrqK7Pjvb29VatWLdO95lWzZs3k5GT+1m4PDw81aNBAaWlpOn/+fK7n+fv7q0OHDoqJiVF6ero2btyo7OxshoABAACgSCqUsHL3hHRJpsnzue0zPgXIj2V2IyMjZTAYFBoamiMAWGLfvn1avHix/vnPf2r06NGqWLGiPD091bx5c33wwQcqUaJEvq0EVrZs2Vy3+/v7S5KSk5PveW5oaKgSExO1bds2RUdHm+ayAA+jXy666OB3JfTLxfxbrAMAABSeYj02KCsrS9HR0XJxcbH56YJxEn2rVq1y7CtTpowCAwP1/fffKyEhQWXKlLHpWr///nuu242T6729ve95bnBwsPz9/TVv3jxduXJFzz33nE214OGW9If1Ad+eNSSnOOnDiNL66cRfq3/Vr5eukSOS5O1VtCfVF/QKbAAAOJJiHVZiY2N17do1BQcHq0IF215el5GRIUn3XJ7YuN3d3T3X/ZY4fPiwDAaD2ZOgtLQ0HT9+XB4eHqpevfo9z3V1ddUTTzyh5cuXq2TJkurZs6fN9RSWtDR7V1AwbqYV3XsbMcqyIYwFw/IanJ2lUqWkf890UuOg2y+EnP+uuyZPKafs7AIosRBZ8mLSovy7V1iseXcSAKDwFOuwEhkZKcn6d6vcqVmzZvrvf/+rlStXqnv37mZPN6Kjo3XhwgU1aNDAbFhbcnKyrl69Km9vb4vmrZw7d06RkZFmCwJEREQoISFBoaGhDwxEw4cPV/PmzeXr65vrMDtHVZTehm654nxvjic7W5oy2UkhwbcDf0iwZDBIM2YV/acSlv93wu/e/WxYZ/vcSABAwSm2YeX69euKjY2Vv7+/OnXqZHN7PXr00Pr163XgwAF169ZNISEh8vHx0cmTJ7Vnzx65u7vrlVdeMTtn27ZtmjZtmvr166e33norz9d67LHHNGvWLMXGxqpmzZo6fvy44uLiVKlSpTytLObv72+2+hrwMGocZP5zk0a5HwcAABxXsQ0r0dHRyszMNC3naysXFxd99NFHWrVqlbZs2aLNmzcrIyNDZcuW1eOPP65Ro0apTp06+VD57Rc8jh49WosWLdLq1avl5uamXr16acqUKaZJ9sWRJcNbipLSvr5KSky0dxlWKcpPu47+cPuJitGRY/aqJH9Z8t9JUf7dAwBAkpwMBkPRHxeBfHPw4EG5u7ubvTPG19dXiXzgsVpR7j97T7Av7UF392EAACAASURBVFNaSX8kWXzegkW++vVXN02c4KwmjW4HlYWLslW5coYmTSiafxdGlkywL8q/e46A/rMN/Wc9+s429J9tCqv/MjIy1Lhx4wceV2yfrACwnb1XnvL1lSTLa5g8IVGLw301Y9Zf87saBWXohbGJ8mE1LQAAigzCCoBix8fHoNdeuaFfLrro8mVXVayYqapVsuxdFgAAsJDDh5WLFy8qOjr6gcd5e3tr6NChFrUdFhaWp+OeeeYZ+fj4WNQ2APurWiWLkAIAQBHm8GHl0qVLCg8Pf+BxAQEBFoeVvLQrSf369SOsAAAAAIXM4cNKq1atdPLkyQJpu6DaBQAAAGA7Z3sXAAAAAAC5IawAAAAAcEiEFQAAAAAOibACAAAAwCERVgAAAAA4JMIKAAAAAIdEWAEAAADgkAgrAAAAABwSYQUAAACAQyKsAAAAAHBIhBUAAAAADomwAgAAAMAhEVYAAAAAOCTCCgAAAACHRFgBAAAA4JAIKwAAAAAckqu9CwAAAHB0l5LP6ErqL6rgWVUB3rXsXQ7w0CCsAACAYu+PWwlWnZeSnqQVP72p+IRDpm11yzTXsPqvysu9dJ7b8SlRxqrrAw87wgoAALCbtMybhXKdMV93tuo8ZydnlXLz0WudlimoQmv9cOVbLdrzkqbtGaBsQ3ae2/mw6948H5uW6Z6v/eLhWjLf2gIKG2HFwYSEhEiSvv76aztXAgBAwRu5ra29S7ivbEO2JrR7Wx1rPCFJ6ljjCRkMBs3eNcqidux5n2v+/r3drg3YyuEn2E+dOlWBgYH3/bNkyRKr2v7f//6n119/Xf3791fDhg0VGBiojRs33veclJQUzZ07V506dVLDhg3VqVMnzZ07VykpKVbVYKuNGzea+mHixIn3PG716tWm415//fVCrBAAgKItqEJrs58bVWxjp0qAh4/DP1np0qWLAgICct23fPlypaamqn379la1vXjxYl26dEl+fn4qX768Ll26dN/jU1NT9fTTT+vEiRNq166devXqpfj4eK1cuVL79+/X2rVr5enpaVUttnJ1ddX27duVlJSk0qVzjqHduHGjXF1dlZmZaYfqAADInSXDo2xhy5ONH658a3qyIknHLu+zuA1L7tPXt7QSE5MsvgZQHBWJsNKlS5cc23/88UeFh4erTp06atSokVVtz549W9WqVVNAQICWLVumd999977HR0RE6MSJExoxYoSmTJli2v7ee+9pyZIlioiI0Pjx462qxVbt27fXzp07tWnTJj399NNm+44fP64TJ04oJCSE4WUAAIdSWPMploTssOq8sCMv6b2902QwGNSoYhsdu7xPYfteUd0yLTSuybw8t2PJfXq4esrDNd2acoFix6JhYPv371dgYKDCwsJ0+PBhDR48WE2bNlXr1q01c+ZMpaWlSZJ2796tQYMGqUmTJmrbtq3mz5+vrKysfC18w4YNkqQBAwZY3Ubbtm3v+dTmbgaDQRs2bJCnp6fGjBljtm/UqFEqXbq0IiMjZTAYrK7nTklJSZo+fbratm2rRo0aacCAAdqx497/0DZr1kw1atRQVFRUjn1RUVFyc3PTE088kcuZAAAUfz4lylj1Z3zT+arqXVuzd43S/7e+kWbvGqWq3rU1vunbFrUDwDpWzVk5evSohg4dKm9vbw0aNEiVK1fWunXrNH36dG3ZskXjxo1TpUqVNHDgQHl7eysiIkLLli3Lt6LT0tK0efNmubu7q0+fPvnW7v2cP39eV69eVbNmzXIM9SpRooRatGihK1eu6MKFC2b7jPNELJGenq5hw4bp8OHD6tu3r/r06aOzZ89qzJgx+vzzz+95Xv/+/fXTTz8pPj7erK2YmBgFBwerTBn+sQQAwBLe7n56+dH39dZjkZrYbKHeeixSLz/6vrzd/exdGvBQsGoY2DfffKMlS5aYhmdlZGQoNDRUMTExiouL05o1a0xDs8aNG6du3bpp5cqVGjlypFxdbR95tnXrViUnJ6tXr17y9fW1ub28MIaQ6tWr57q/WrVqpuPudUxeXbt2TbVq1dInn3wiNzc3SdLQoUPVv39/vfHGGwoJCZGXl1eO8/r166fFixcrMjJS06dPlyR99dVXSkpKUmhoqE01AQDwMAvwrsXLIAE7sOrJSsuWLc3mkbi5ual79+4yGAzq1KmT2RwSLy8vBQcHKzExUZcvX7a9Ysk01OnJJ5/Ml/byIjk5WZJyDQl3bjceZ/TFF1/oiy++sPh6L7zwgimoSFKtWrUUGhqqP/74457DwcqVK6f27dtr06ZNSk+/PdY1KipK5cqVU4cOHSyuAQAAALAnq8JK/fr1c2wrX768JKlevXo59pUrV06SdOXKFWsuZ+bChQs6ePCgqlSpotatWz/4BDurVauWatWy7JsYNzc3NWnSJMf2Fi1aSJLZMK+7hYaGKjExUTt27NCvv/6qb7/9Vn379pWLi4tlhQMAAAB2ZtWYrNyeLhg/DOe2zzj0Kz+WzTVOYg8NDZWTk5PN7eWVt7e3JN3zfSrG7cbjbOHr6ytn55w5smzZspJyPr25k3FuSlRUlM6cOaPs7Gz179/f5poAAHiYXUo+oyupv6iCZ1WGgwGFyOGXLr5TVlaWoqOj5eLiUuhzMIxzUs6fP5/rfuOcFuNxtkhMTFR2dnaOwPL7779Lun8gMq76tXr1asXHx6tp06aqWbOmzTUBAFBc/HErIc/HpqQnacVPbyo+4ZBpW90yzTWs/qvycs/5XrPcsBoYYL0iFVZiY2N17do1BQcHq0KFCoV67erVq6t8+fI6fPiwUlNTzVYEu3Xrlr777juVL18+X8JKRkaGjhw5ombNmplt/+677yRJdevWve/5AwYM0MqVK3Xt2jW98MILNtcDAEBhS8u8WWBtj/m6c56PdXZyVik3H73WaZmCKrTWD1e+1aI9L2nangHKNmTnqQ1LX3yZlulu9f0X1ntrgMJSpMJKZGSkJNverWItJycnPfnkk1qyZImWLFli9lLIDz74QElJSRozZkyOoWlnzpyRJIvnrSxevFgRERGmSfZnzpxRVFSUvL291bnz/f+RrV27tpYtW6aMjAy1a9fOousCAOAIbHnjfH7KNmRrQru3TW+w71jjCRkMBs3eNSrPbRTmvaz5+/eFdi2gMBSZsHL9+nXFxsbK399fnTp1ypc2N2zYoEOHbj/WPXXqlGnbgQMHJEldunQxW/VsxIgR+vrrr01vsm/QoIHi4+O1e/du1atXTyNGjMhxjZ49e0qSTp48mee6ypUrp+TkZPXt21cdO3ZUSkqKYmJidOvWLb3xxhv3XJHsTh07dszz9QAAwL0FVTBf0KdRxTZ2qgR4+BSZsBIdHa3MzEz17ds3X97VIkmHDh1SdHS02bbDhw/r8OHDkqSAgACzsOLp6ak1a9YoPDxcX375pQ4cOCB/f38NHTpUY8eOzfGySGu5u7tr+fLleuedd/TZZ58pOTlZderU0b/+9a8HPlUBAKA4sHTolCUsfdLxw5VvTU9WJOnY5X0WnW/pvfj6llZiYpJF5wDFlZPBYDDYuwg4joMHD8rd3d3sHS++vr5KTEy0Y1VFG/1nPfrONvSfbeg/2zhy/1kywT7syEv67c/zGtdmjhpVbKNjl/cpbN8rqlSqhsY1mZenNiydYO/IfVcU0H+2Kaz+y8jIUOPGjR94XJF5sgIAAJAfLAkP45vO19Kjr5jNUWno31r/ajxH3u5+BVEegDsQVgAAAO7B291PLz/6Pu9ZAeyk0MPKxYsXc8wTyY23t7eGDh1qUdthYWF5Ou6ZZ56Rj4+PRW0DAICHV4B3LUIKYAeFHlYuXbqk8PDwBx4XEBBgcVjJS7uS1K9fP8IKAAAA4OAKPay0atXKomV8LVFQ7QIAAAAofM72LgAAAAAAckNYAQAAAOCQCCsAAAAAHBJhBQAAAIBDIqwAAAAAcEiEFQAAAAAOibACAAAAwCERVgAAAAA4JMIKAAAAAIdEWAEAAADgkAgrAAAAABwSYQUAAACAQyKsAAAAAHBIhBUAAAAADomwAgAAAMAhEVYAAAAAOCTCCgAAAACHRFgBAAAA4JAIKwAAAAAcEmEFAAAAgEMirAAAAABwSIQVAAAAAA6JsAIAAADAIRFWAAAAADgkwgoAAAAAh+Rq7wLgeLKyssx+zsjIUEZGhp2qKfroP+vRd7ah/2xD/9mG/rMefWcb+s82hdV/d3/evBfCCsy4u7srPT3d7Bfo1q1bSk9Pt2NVRRv9Zz36zjb0n23oP9vQf9aj72xD/9nG0fqPsAIzAQEBys7ONtvm5+enGzdu2Kmioo/+sx59Zxv6zzb0n23oP+vRd7ah/2zjaP1HWIEZFxcXubi4mG1zc3OTm5ubnSoq+ug/69F3tqH/bEP/2Yb+sx59Zxv6zzaO1n9MsAcAAADgkAgrAAAAABwSYQUAAACAQyKsAAAAAHBIhBUAAAAADomwAgAAAMAhEVYAAAAAOCTCCgAAAACHRFgBAAAA4JAIKwAAAAAcEmEFAAAAgEMirAAAAABwSIQVAAAAAA6JsAIAAADAIRFWAAAAADgkwgoAAAAAh0RYAQAAAOCQCCsAAAAAHBJhBQAAAIBDIqwAAAAAcEiEFQAAAAAOibACAAAAwCERVgAAAAA4JMIKAAAAAIdEWAEAAADgkAgrAAAAABwSYQUAAACAQyKsAAAAAHBIrvYuAAAAAPZz7rxBly5JAQFSjepO9i4HMENYAQAAyCc3Eg02t2EwZCsxyfZ2HiTpD4PeeVc6cvSvbU0aG/TiZKm0T9EJLX6+RadWWI6wAgDAQ+zmzYL5UFyihKHA2nZkvfvmxz3fyIc2HszZWSpVSvr3TCc1DpKO/iDNf9egIUOl7Oyi83e3bYv5zw/r756lSpYsGiGPsOLA9u/fryFDhmjs2LEaN26cvcsBABRDXf9eUB/qEgqoXeSX7GxpymQnhQTf/tAaEiwZDNKMWUXrg37O32F+9/IibhdhxSFMnTpV0dHR9z1m/PjxGjNmjMVtGwwGbdu2TWvWrNG5c+eUnJysihUrqlWrVho5cqSqVq1qbdlWGzx4sA4cOGC2zdXVVf7+/mrRooWee+45BQYGFnpdAADA8TQOMv+5SSP71AHcS7EPK126dFFAQECu+5YvX67U1FS1b9/eqrbnzZunFStWqFy5curcubO8vLwUHx+vTz/9VDExMVq/fr3q1KljS/lWe/bZZ+Xp6SlJSk1N1YkTJ7R582Zt375dH3/8sRo2bGiXugAAjmXbloL5dtXX10+JiYUznMmRFNyTqoJx9IfbT1SMjhyzVyXWu/t3+GH93SuuHoqw0qVLlxzbf/zxR4WHh6tOnTpq1MjyrxGuXbumVatWKSAgQJ9//rm8vLxM+1auXKm5c+dqxYoVmjt3rk31W+vZZ59VuXLlzLZFRERo/vz5WrNmjebNm2eXugAAjqWgxq17ejrp1q2iMcwkP236zPY2fEv7KjEp0faGHuC1GQYtWGSQwXD7icqRY9LCxQY1aSy9Mavo/N3d/Tv8sP7uFVeFGlbunIPRrl07LVy4UD/++KNKlCihHj16aOrUqfLw8NDu3bu1dOlSxcfHy9PTU/369dOkSZPk4uKSb7Vs2LBBkjRgwACrzr906ZKys7PVrFkzs6AiScHBwZo7d64SEvJvzOTBgwe1ePFiHT9+XG5ubmrfvr2mTJmiihUr5rmN9u3ba/78+flaFwAA+Et+rEzl5+csJ6eC/7A9e5Y0a7bBbI7Koy2kGdOd5MsKW3AQdnkp5NGjRzV06FB5e3tr0KBBqly5statW6fp06dry5YtGjdunCpVqqSBAwfK29tbERERWrZsWb5dPy0tTZs3b5a7u7v69OljVRvVqlWTm5ubDh8+rJSUFLN9sbGxkqTWrVubbd+4caMCAwM1depUi6515MgRDRs2TL6+vho8eLCCgoIUExOjQYMG6fr163luZ8+ePZKk+vXrW3R9AABQ/Pj6OmnhO85as9JJb73ppDUrb/9MUIEjscswsG+++UZLliwxDc/KyMhQaGioYmJiFBcXpzVr1piGZo0bN07dunXTypUrNXLkSLm62l7y1q1blZycrF69esnX19eqNvz8/DRx4kS9/fbb6tmzp0JCQlSqVCmdOnVK+/bt08CBA/X000/bXKskxcXFafbs2XryySdN28LDwxUWFqYFCxZozpw5Oc5Zvny52ZyVU6dOae/evWrTpo2GDx+eL3UBAICir0Z1J9Wobu8qgNzZJay0bNnSbB6Jm5ubunfvrpMnT6pTp05mc0i8vLwUHBysqKgoXb58WVWqVLH5+lFRUZJk9uHfGsOHD1f58uX1+uuva926dabtTZs21RNPPCE3Nzez47t27arGjRvL29vbouvUqFEjx3C1ESNG6OOPP9bmzZs1c+ZMubu7m+1fvnx5jnaqVKmifv36ycfHx6LrAwAAAPZgl2FguQ1DKl++vCSpXr16OfYZJ4pfuXLF5mtfuHBBBw8eVJUqVXIM07LU0qVLNW3aNI0aNUqxsbH6/vvvtXbtWmVlZWnIkCH66quvzI739vZWrVq1TPeaV82aNcsxdtXDw0MNGjRQWlqazp8/n+OcuLg4nTx5UidPntSRI0cUGRmpqlWr6qWXXlJERITF9woAAB4e584bFLfHoHPni9bqZih+7PJk5e4J6ZJMk+dz22cc+pWZmWnztSMjI2UwGBQaGmrT5LV9+/Zp8eLFGjp0qEaPHm3a3rx5c33wwQfq3Lmz5s6dq27dutlcc9myZXPd7u/vL0lKTk6+7/klS5ZUUFCQwsLC1LFjRy1ZskRPPfWUaZgYAADIXzcSrf+QbzBkKzHJPiEh6Q+D3nlXOnL0r21NGhv04mSptE/RmMvyoP7Lj0UQUHiK/dLFd8rKylJ0dLRcXFwUGhpqU1vGSfStWrXKsa9MmTIKDAzU999/r4SEBJUpU8ama/3++++5bjdOrs/rsDJvb29Vr15dx48f14ULF3J9igUAKD5u3rTft+IlShjsen17693Xlnu33ztCnJ2lUqWkf890UuOg2+9hmf+uQUOGStnZReXv8/79t21LIZVRRBTU8uX55aEKK7Gxsbp27ZqCg4NVoUIFm9rKyMiQpHsuA2zcfvdcEmscPnxYBoPB7ElQWlqajh8/Lg8PD1WvXj3PbSUlJUmSsrOzba4LAODY7PuCQpbJL4qys6Upk50UEnz7M0dIsGQwyGx546KuqL24s6DF7XLssGKXOSv2EhkZKcn6d6vcqVmzZpJuvwDy7mFY0dHRunDhgho0aGA2rC05OVlnzpzR1atXLbrWuXPnTLUbRUREKCEhQb169cpzINqxY4cuXryo0qVLq3bt2hbVAAAAHg6Ng8x/bmL5u7OBfPPQPFm5fv26YmNj5e/vr06dOtncXo8ePbR+/XodOHBA3bp1U0hIiHx8fHTy5Ent2bNH7u7ueuWVV8zO2bZtm6ZNm6Z+/frprbfeyvO1HnvsMc2aNUuxsbGqWbOmjh8/rri4OFWqVEmTJk3K9Zw7ly6+efOmzp49q9jYWDk5OemVV17Jlyc+AADHtm2L/b4x9fX1U2Ki/YYz2VtR/vb+6A+3n6gYHTlmr0oKhj3/u4DlHpqwEh0drczMTPXt2zdf3tXi4uKijz76SKtWrdKWLVu0efNmZWRkqGzZsnr88cc1atQo1alTJx8ql5o0aaLRo0dr0aJFWr16tdzc3NSrVy9NmTLFNMn+bncuXezi4iI/Pz+FhIRo2LBhatGiRb7UBQBwbPYci+7p6aRbtx7eD4WbPrP+XN/SvkpMSsy/Yizw2gyDFiwyyGC4/UTlyDFp4WKDmjSW3phVNP4+H9R/jj5HA+acDAZD0Y3+yHc3buT8FszPzy/X7cgb+s969J1t6D/b0H+2of+sZ8++S0w0aNZsgw5+99e2R1tIM6Y7FZk32/O7Z5vC7D8/P78HHvPQPFkBAADA/fn6OmnhO046d96gS5ekgIDbb7gH7IWwAgAAADM1qjupRnV7VwEUwbBy8eJFRUdHP/A4b29vDR061KK2w8LC8nTcM888Ix8fH4vaBgAAAGCZIhdWLl26pPDw8AceFxAQYHFYyUu7ktSvXz/CCgAAAFDAilxYadWqlU6ePFkgbRdUuwAAAAAs91C9FBIAAABA0UFYAQAAAOCQCCsAAAAAHBJhBQAAAIBDIqwAAAAAcEiEFQAAAAAOibACAAAAwCERVgAAAAA4JMIKAAAAAIdEWAEAAADgkAgrAAAAABwSYQUAAACAQyKsAAAAAHBIhBUAAAAADomwAgAAAMAhEVYAAAAAOCRXexcAAABQVDn9flrOiT8r2/dvMpR9xN7lAMUOYQUAACA1wbLjbybKY/sMuV76zrQpM6CF0rrMkkr6Pvh8zzIWFgg8nAgrAADA8WWkFmjzXv9pZ9HxBidnyd1bNx9fqOyA5nK+dEge22ao1OrecjJkP/D8lHGH7t12urvl9+vmadnxQBFBWHFg+/fv15AhQzR27FiNGzfO3uUAAGA3XmHN7V2CGSdDtm52namsOj0kSVl1euiWwSCPzZPydP797idTkpeF9aRMOmHhGUDRUOzDytSpUxUdHX3fY8aPH68xY8ZY3HZ2drbWrl2rqKgonT17Vi4uLqpfv76GDRumzp07W1uyTQYPHqwDBw6YbXN1dZW/v79atGih5557ToGBgXapDQCA4iQ7wDxwZFVpYadKgOKr2IeVLl26KCAgINd9y5cvV2pqqtq3b29xuwaDQRMmTNCXX36pv/3tbxowYIDS09O1Y8cO/etf/9Jrr72mp59+2tbyrfbss8/K0/P2I+HU1FSdOHFCmzdv1vbt2/Xxxx+rYcOGdqsNAABL3W/YVH6w5smN86VDpicrkuRy8bv7HG3ufvfj6+urxMREi+sBiqOHIqx06dIlx/Yff/xR4eHhqlOnjho1amRxu19++aW+/PJLNWvWTCtWrJCHh4ckaeLEiRowYIDmzZun4OBgValSxeZ7sMazzz6rcuXKmW2LiIjQ/PnztWbNGs2bN88udQEAYJUCnpORMnqPRcd7bHpBJXa8oXSDQVlVWsjl4ndy/3q2Mqs8qrTHFz24gfvcj5N7Kckt3aJ6gOKqUN+zsn//fgUGBiosLEyHDx/W4MGD1bRpU7Vu3VozZ85UWlqaJGn37t0aNGiQmjRporZt22r+/PnKysrK11o2bNggSRowYIBV52/fvl2SNHr0aFNQkaQyZcromWeeUXp6ujZu3Gh7of+/gwcP6umnn1bTpk3VsmVLTZ48WZcvX7aoDeMTpIQEC1c8AQCguPMsY9GftCfeU3b5uvLYPEmlPuggj82TlF2+rtJ6L85bGwDyxC4vhTx69KiGDh0qb29vDRo0SJUrV9a6des0ffp0bdmyRePGjVOlSpU0cOBAeXt7KyIiQsuWLcu366elpWnz5s1yd3dXnz59rGrj999/l6Rcn5wYt3377bdm2zdu3KjAwEBNnTrVomsdOXJEw4YNk6+vrwYPHqygoCDFxMRo0KBBun79ep7b2bPn9rdG9evXt+j6AADgLiX9lBb6kf58ZpNu9lmiP5/ZpLTQj6SSfvauDChW7DIM7JtvvtGSJUtMw7MyMjIUGhqqmJgYxcXFac2aNaahWePGjVO3bt20cuVKjRw5Uq6utpe8detWJScnq1evXvL1zcNa6LkoU+b2tyIXL15UrVq1zPZdvHhRknT+/Hmb6jSKi4vT7Nmz9eSTT5q2hYeHKywsTAsWLNCcOXNynLN8+XKzOSunTp3S3r171aZNGw0fPjxf6gIA4GFnKPuIsngZJFBg7BJWWrZsaTaPxM3NTd27d9fJkyfVqVMnszkkXl5eCg4OVlRUlC5fvpwvc0CioqIkyezDv6Xat2+vmJgYLVu2TK1bt1aJEiUkSTdu3NCqVaskSX/88YfZOV27dlXjxo3l7e1t0bVq1KiRY7jaiBEj9PHHH2vz5s2aOXOm3N3dzfYvX748RztVqlRRv3795OPjY9H1AQAAAHuwS1jJbRhS+fLlJUn16tXLsc84UfzKlSs2h5ULFy7o4MGDqlKlilq3bm11O48//rg2btyo/fv3q3fv3mrfvr0yMjK0Y8cOlS1bVpLk4uJido63t7fFQUWSmjVrJicnJ7NtHh4eatCggb755hudP39ederUMdsfFxdn6rebN2/q9OnTevfdd/XSSy/p2rVrGjFihMV1AAAAAIXJLnNWvLxyvurI+ME+t33GoV+ZmZk2XzsyMlIGg0GhoaE5AoAlXF1dFRERoXHjxsnJyUmffPKJtm3bps6dO+u9996T9NdQMVsZw8/d/P39JUnJycn3Pb9kyZIKCgpSWFiYSpUqpSVLlig1tWDfBAwAQHHm9PtpuZz5Wk6/n7Z3KUCxVuyXLr5TVlaWoqOj5eLiotDQUJvbc3d319ixYzV27Fiz7fv375ekfHuXiXEy/92Mk+vz+rTG29tb1atX1/Hjx3XhwoVcn2IBAPBQS33Aipk3E+WxfYZcL/31TpXMgBZK6zJLKvmAebCsAgZY7KEKK7Gxsbp27ZqCg4NVoUKFArvOpk2bJEk9e/bMl/YOHz4sg8Fg9iQoLS1Nx48fl4eHh6pXr57ntpKSkiRJ2dnZ+VIbAAAFKqNwRwJ4/afdffcbnJwld2/dfHyhsgOay/nSIXlsm6FSq3vLyXD//2/N64stDenu1t13Ab+LBrCHhyqsREZGSrL+3Sp3S0lJyTFsbevWrYqKilJQUJC6detmti85OVlXr16Vt7e3aY5OXpw7d06RkZFmCwJEREQoISFBoaGhOSbX38uOHTt08eJFlS5dWrVr187z9QEAsBdr3ixfkJwM2brZdabpzfVZdXrolsEgj82THnhuXu8lU1LOQfEPljLphBVnAY7toQkr169fV2xsrPz9/dWpU6d8afPJJ59UpUqVVLNmTZUoC07d2wAAEslJREFUUULHjh3TgQMHVLVqVS1evDjHBPtt27Zp2rRp6tevn9566608X+exxx7TrFmzFBsbq5o1a+r48eOKi4tTpUqVNGlS7v843rl08c2bN3X27FnFxsbKyclJr7zySp4DDgAAMJcdYB46sqq0sFMlQPH30ISV6OhoZWZmqm/fvvnyrhbp9jCvr776SkeOHFFmZqaqVKmi559/XiNGjMh1oQBrNWnSRKNHj9aiRYu0evVqubm5qVevXpoyZYppkv3d7ly62MXFRX5+fgoJCdGwYcPUogX/qAIAioa8Dp3KL3l5+uF86ZDpyYokuVz87j5H/yWv9+Lr66vExMQ8HQsUd04Gg8Fg7yLgOG7cuJFjm5+fX67bkTf0n/XoO9vQf7ah/2xTZPvvARPsPTa9IOeEs0oPma6sKi3kcvE7uX89W9llaynt8UX3bzuPE+yLbN85CPrPNoXZf35+fg885qF5sgIAAPBADwgUaU+8J48vXjSbo5JZra3Ser4jlXzwBy8AliGsAAAA5FVJP6WFfiSn30/LOfFnZfv+TYayj9i7KqDYKnJh5eLFi4qOjn7gcd7e3ho6dKhFbYeFheXpuGeeeUY+Pj4WtQ0AAIoPQ9lHlEVIAQpckQsrly5dUnh4+AOPCwgIsDis5KVdSerXrx9hBQAAAChgRS6stGrVSidPniyQtguqXQAAAACWc7Z3AQAAAACQG8IKAAAAAIdEWAEAAADgkAgrAAAAABwSYQUAAACAQyKsAAAAAHBIhBUAAAAADomwAgAAAMAhEVYAAAAAOCTCCgAAAACHRFgBAAAA4JAIKwAAAAAcEmEFAAAAgEMirAAAAABwSIQVAAAAAA6JsAIAAADAIRFWAAAAADgkwgoAAAAAh0RYAQAAAOCQCCsAAAAAHBJhBQAAAIBDIqz8v/buPSiq8o0D+HdJUWjVkMSEVExcHDVFzUUMR1GsEUQDCa0MihxQ0vFSqdPYWE6TkzWILjlaNjlqKiIyOohozhQiCgiIpGgkCcKWyHjjpizI+f3h7P6AXe7n7B7g+/mPc86+z3kfnn1333NbIiIiIiKSJU5WiIiIiIhIljhZISIiIiIiWeJkhYiIiIiIZImTFSIiIiIikiWFIAiCpXeCiIiIiIioKZ5ZISIiIiIiWeJkhYiIiIiIZImTFSIiIiIikiVOVoiIiIiISJY4WSEiIiIiIlniZIWIiIiIiGSpl6V3gMyvrKwMUVFRSE5OxqNHj+Do6Ag/Pz+EhYXB2tq6TW1oNBpER0e3uM3ChQvxzTffGP7esGED4uPjTW47YsQIJCUltb0TFiRG/gDA1dW12XWffPIJwsLCJIttSWL0obCwEElJSUhJSUFRUREePnwIe3t7uLu7Izw8HCNHjjR6TVeqv9zcXGg0GuTk5KC2thYuLi4ICQmBn59fm9uor6/HwYMHERMTg6KiItja2sLd3R1r1qyBs7OzZHEtrbN9yMzMxNmzZ5GRkQGtVovq6mo4OTlh9uzZCA8PR//+/Y1eM2vWLGi1WpPtLVq0CJs3b+5Un8yps/lLT09HcHBws+tjYmLg5uYmely56Gw/3n//fWRkZLS4zbfffou33nrL8Hd3qb/jx48jKysLV69eRX5+Pmpra7FlyxYEBAS0q52eOPaJkTs5j32crPQwZWVlCAoKwn///Qdvb284OzsjKyvL8Cb98ccfYWXV+gk3tVqNFStWmFwXGxuL0tJSeHp6mlwfHBxsVPR2dnbt74wFiJU/PScnJ/j7+xstnzRpkuSxLUGsPmzfvh2JiYlQqVSYPXs2lEol8vPzcfz4cZw+fRo///wzXnvtNZOvlXv9paen46OPPkLv3r3h6+uLfv364cyZM/j000+h1WqxbNmyNrWzadMmHDlyBC4uLliyZAnu3buHxMREpKam4vDhw3BxcZEkriWJ0YdVq1bhwYMHmDx5MhYsWACFQoGMjAzs2bMHZ86cweHDh2Fvb2/0un79+iEkJMRo+bhx40TpmzmIWQNqtRpqtdpo+UsvvSRpXEsSox/+/v4m81ZXV4fdu3fDysoKHh4eRuu7Q/1t374dWq0WdnZ2cHBwaPZLcGt64tgnRu5kPfYJ1KOsW7dOUKlUwq+//mpYVl9fL6xfv15QqVTC0aNHO9V+WVmZMGbMGEGtVgs1NTWN1uljFBcXdyqGJYmZP5VKJSxZssQisS1FrD7ExcUJ169fN1qekJAgqFQqwcfHx2hdV6i/2tpawdvbWxg3bpxw7do1w/KKigrB19dXGDNmjHDr1q1W27l48aKgUqmEd999t9H78MKFC4Krq6vw3nvvSRLXksTqw+7du4XS0tJGy+rr64VNmzYJKpVK+PLLL41e4+XlJXh5eXW6D5YkVv7S0tIElUol7Nixw6xxLU3qfiQlJQkqlUoIDw83Wtcd6k8QBCE1NVUoKSkRBOHZ+1ClUglxcXHtaqMnjn2CIE7u5Dz2yfswLImqsrISiYmJGDp0KN555x3DcoVCgbVr18LKygqxsbGdinHs2DHU1dVhwYIFXeaypLYyR/7kGFssYvYhICAAo0ePNlru6+sLZ2dn3Lx5E/fv3xdt380lLS0Nt2/fxrx58zBmzBjDcqVSiYiICNTV1eHYsWOttqPP4+rVqxu9Dz08PODp6YlLly7h1q1bose1JLH6EBYWBgcHh0bLFAoFIiIiAACXLl0Sd8dlwlI10B1qD5C+H/r3dGBgYKf3Va6mTZsGJyenTrXRE8c+QJzcyXns42VgPUhOTg50Oh2mTZsGhULRaJ2DgwNUKhWuXLmCmpoa9OnTp0Mx4uLiAABvv/12s9skJyejqqoK1tbWcHV1hVqtxnPPPdeheOYkRf7Ky8sRGxuLe/fuYeDAgVCr1SavqTXH/05q5upD7969AQC9epke3uRcf/pr1U1dQvn666832qYl6enpsLW1NXk5oaenJ1JSUnDp0iWMGDFC1LiWJHUf9PXUXK3odDrEx8ejtLQU/fv3x6RJk0xOqOVK7PwVFhZi3759ePLkCRwdHTFt2jQMHDhQ8riWImU/7ty5g9TUVAwaNAgzZ840uU1Xrz+x9MSxT2pyGPs4WelBioqKAKDZG8yGDx+OGzduoLi42OiazrbIzMxEYWEh3NzcMGrUqGa3a3rDlbOzMyIjIzF27Nh2xzQnKfJ348YNbNy40fC3QqGAn58fNm/eDBsbG0ljm5s5+pCbm4u///4br776qsmbAQF5119hYSGAZ7loasCAAbCzszPksTnV1dUoKyuDSqUy+eGiz78+llhxLU3qPugPxOi/wDRVVlaGDRs2NFo2ffp0bN261eSXdLkRO38JCQlISEgw/N23b1+sXLkSS5culTSupUjZj7i4ONTX18Pf37/ZgzBdvf7E0FPHPqnJYezjZKUHqaioAPDsZihTlEplo+3a6+jRowCaP009ZcoUzJo1C+PHj4ednR1KSkoQExODAwcOIDQ0FCdOnMDgwYM7FNscxM5faGgo5s6di+HDh0OhUCAvLw/btm3DiRMn8PTpU0RGRkoW2xKk7kNFRQXWr18PKysrfPbZZ0bru0L9VVZWAmg5R3fu3GmxDX3+9Pk01UbDWGLFtTQp+3D9+nX88MMPsLe3N/qyDTy7LFGtVsPFxQXW1tYoKChAdHQ0zp07h4iICBw6dMjobKLciJW/gQMHYt26dZg5cyYcHR1RXl6O9PR0fP/99/juu++gVCqxePFi0eNamlT9EATBcBlSc5+t3aH+xNBTxz4pyWXs42SlC3J3d8fDhw/bvP2+ffvg7u4u4R49e8MnJSXB1tYWPj4+JrdZuHBho79HjhyJzz//HDY2Nti1axf27t2L9evXS7qfgHzy17SvU6dOxd69e7FgwQKcPHkSy5cvb/EMlaXIJX8N1dTUYMWKFfjnn3+wZs0ak/HkUn/UtRQXFyM8PNxwAMHUkcKmT0acMGECdu/ejSVLliArKwvJycnNXr7T3YwaNarRuGVjY4P58+dj9OjRCAgIgEajQVBQkOyfXCgXaWlpKCkpgVqtNnn0H2D9kTTkNPZxstIFzZs3D1VVVW3e/sUXXwTw/yMHzR25bu0IQ0sSEhLw+PFjBAYG4vnnn2/XawMDA7Fr1y5cvny53XE7Qo7507OxsYGvry927tyJ7Oxsw4e+OWK3ldzyp9Pp8PHHHyMtLQ3h4eHtfsykueuvJa2dXaqsrGw1P/r1DY8eNm2jYSyx4lqaFH3QarUICQnB/fv3odFoMHXq1Da/1srKCgEBAcjKykJ2drbsvyxKXQMqlQoTJkxAZmYmioqKDPcMdIfaA6TrR0dvrO9q9SeGnjr2SUFuYx8nK13QF1980aHX6Y/KNLxes6GioiJYWVlh6NCh7W5bfwlYSzfWN0f/GxePHz9u92s7Qo75a8hUPswVuy3klL+amhpERETg/PnzWLp0KdauXdvu/TJ3/bVEf011UVGR0TPqHz16hAcPHmDixIkttmFra4tBgwahpKQET58+Nbp2W5//hvcOiRHX0sTuQ0lJCYKDg3H37l1ERUXBy8ur3fskp9pqjTlqQJ+PJ0+emDWuOUjRj0ePHuG3335D//798eabb7Z7n7pS/Ymhp459YpPj2MfzsD2Im5sbrK2tceHCBQiC0Gjd3bt3kZ+fjwkTJrT7SUx//fUX/vzzT4waNcrkLxO35sqVKwDQ6cfuSU2q/DWlz8fLL79s9thSErsPDScqoaGhJu9TaQs51d+UKVMAAOfPnzdal5qaCgAmfzCuKbVajerqamRnZxut07etjyVmXEsSsw8NP6y3bdsGb2/vDu1Tbm4uAHnUVmukroG6ujrk5eVBoVBgyJAhZotrLlL048SJE9DpdPDz80Pfvn3bvU9dqf7E0hPHPjHJdezjZKUHUSqV8PHxQXFxMQ4dOmRYLggCIiMjUV9fb3Rm5PHjxygoKMC///7bbLut3VgPPHtaxO3bt42Wl5aW4uuvvwbw7PIiORMzf3l5eSaPOJw6dQonT56EnZ1do18p7khsuREzfw0nKh9++GGr95p0lfrz8PDA0KFDkZCQgOvXrxuWV1ZWYufOnejVqxf8/f0Ny+/fv4+CggKj35QJCgoCAERFRUGn0xmWX7x4EefPn8eUKVMMl+F0JK4ciZU7/Yd1aWkpIiMjMWfOnBbj3rx5E+Xl5UbLMzMz8csvv8Da2hpvvPFGJ3snPbHyd/nyZaODEXV1ddi6dSu0Wi08PT3xwgsvdDiuXImVv4ba8tnaXeqvvTj2dVxXHPsUQtNRhbq1u3fvIigoCHfu3MGcOXPg7OyMzMxMZGdnw9PTEz/99FOjGx/T09MRHBwMtVqN/fv3G7Wn0+kwffp0VFVV4dy5c80+pi49PR0hISGYPHkyXnnlFQwYMABarRZ//PEHqqur4e/vjy1btsj+iSVi5W/Dhg04e/YsPDw8MGTIEAiCgLy8PGRmZqJPnz7QaDSYMWNGp2LLkZj5i4+Px6BBg7Bo0SKTsfz9/Q1np7pS/aWlpWHp0qXo3bs35s2bB6VSiTNnzqCkpASrV6/G8uXLDdtqNBpER0djxYoVWLlyZaN2Nm7ciNjYWLi4uGDGjBm4d+8eEhMT0adPHxw+fNjo8dDtiStXYuRu1qxZ0Gq1cHNzM/nbCwAaba/RaLBnzx54eHjAyckJ1tbWyM/PR2pqKqysrPDVV1/J/kCCnlj5A4CJEydi8ODBqKioMPwQn6OjIw4cOGB0tLU71B4g3nsXAK5evYqFCxdi7NixLf4oYXeqv9jYWGRlZQEA8vPzce3aNUyaNMlwCbG3t7fhSD/HvsbEyJ2cxz7es9LDODg44MiRI4iKikJycjJ+//13ODo6YuXKlQgLC2v3l92zZ8/i4cOHmDt3bovP0x42bBgCAwORm5uL06dPo6qqCkqlEhMnTkRgYGCzTxCTG7HyN3v2bJSXl+PatWtISUlBXV0dBg8ejMDAQISGhmLkyJGSxbYksfqg1WoBPDtjEh0dbXIbtVptmKx0pfqbOnUqDh48iB07duDUqVOora2Fi4sLVq1ahfnz57e5nc2bN8PV1RUxMTHYv38/bG1t4eXlhTVr1jQ6sih2XEsSow/62srJyUFOTo7JbRp+YLu7u6OgoAB5eXnIyMiATqeDvb09fHx88MEHH2D8+PGd75iZiJG/xYsXIyUlBRkZGXjw4AF69eqFYcOGYdmyZQgNDcWAAQMkiSsHYvajLWdVgO5Vf1lZWYiPj2+0LDs723BJl5OTU5suS+qJY58YuZPz2MczK0REREREJEvyPxRLREREREQ9EicrREREREQkS5ysEBERERGRLHGyQkREREREssTJChERERERyRInK0REREREJEucrBARERERkSxxskJERERERLLEyQoREREREckSJytERERERCRLnKwQEREREZEscbJCRERERESy9D9LGh69I63NIQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "traces = [m_7_8_trace, m_7_9_trace, m_7_10_trace]\n", + "az.plot_forest(traces, model_names=['m_7_8', 'm_7_9', 'm_7_10'], var_names=['bM', 'bB'], figsize=[8, 3])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.41" + ] + }, + { + "cell_type": "code", + "execution_count": 437, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1. , 0.97962718],\n", + " [0.97962718, 1. ]])" + ] + }, + "execution_count": 437, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.corrcoef(d2.log_B, d2.log_M)" + ] + }, + { + "cell_type": "code", + "execution_count": 453, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 7.10\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[8, 4])\n", + "\n", + "ax1.scatter(d2.log_M, d2.log_B, s=15, facecolor=(0,0,0,0), edgecolor='k')\n", + "ax1.set_xlabel('log body mass (std)')\n", + "ax1.set_ylabel('log brain mass (std)')\n", + "\n", + "ax2.scatter(m_7_8_trace[bM], m_7_8_trace[bB], alpha=0.2, s=15)\n", + "ax2.set_xlabel('bM')\n", + "ax2.set_ylabel('bB')\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.42" + ] + }, + { + "cell_type": "code", + "execution_count": 463, + "metadata": {}, + "outputs": [], + "source": [ + "# why doesn't pointwise=True produce a pointwise result? Output is identical when True or False!\n", + "waic_m_7_8 = az.waic(m_7_8_trace, pointwise=True)\n", + "waic_m_7_9 = az.waic(m_7_9_trace, pointwise=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.43" + ] + }, + { + "cell_type": "code", + "execution_count": 464, + "metadata": {}, + "outputs": [], + "source": [ + "# compute point scaling\n", + "x = d2.log_B - d2.log_M\n", + "x -= x.min()\n", + "x /= x.max()\n", + "\n", + "# can't draw plot until 7.42 issue is solved." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.44" + ] + }, + { + "cell_type": "code", + "execution_count": 467, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bL, bM, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:02<00:00, 1134.25draws/s]\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0450.019-0.081-0.0090.0010.001649.0640.0645.0648.01.0
bM0.9400.0280.8910.9920.0010.001507.0507.0504.0574.01.0
bL0.1140.0290.0570.1670.0010.001505.0501.0506.0609.01.0
sigma0.1950.0140.1680.2210.0010.000649.0649.0626.0576.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", + "a -0.045 0.019 -0.081 -0.009 0.001 0.001 649.0 640.0 \n", + "bM 0.940 0.028 0.891 0.992 0.001 0.001 507.0 507.0 \n", + "bL 0.114 0.029 0.057 0.167 0.001 0.001 505.0 501.0 \n", + "sigma 0.195 0.014 0.168 0.221 0.001 0.000 649.0 649.0 \n", + "\n", + " ess_bulk ess_tail r_hat \n", + "a 645.0 648.0 1.0 \n", + "bM 504.0 574.0 1.0 \n", + "bL 506.0 609.0 1.0 \n", + "sigma 626.0 576.0 1.0 " + ] + }, + "execution_count": 467, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pm.Model() as m_7_11:\n", + " a = pm.Normal('a', 0, 0.1)\n", + " bM = pm.Normal('bM', 0, 0.5)\n", + " bL = pm.Normal('bL', 0, 0.5)\n", + "\n", + " mu = a + bM * d2.log_M + bL * d2.log_L\n", + " sigma = pm.Exponential('sigma', 1)\n", + "\n", + " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_B)\n", + "\n", + " m_7_11_trace = pm.sample(tune=1000)\n", + "\n", + "az.summary(m_7_11_trace)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 1958ba42e4f95806375268a0caea0c0463a48caa Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 4 May 2020 22:53:23 +0100 Subject: [PATCH 03/15] Data for Chp_07 --- Rethinking_2/Data/Primates301.csv | 302 ++++++++++++++++++++++++++++++ Rethinking_2/Data/cars.csv | 51 +++++ 2 files changed, 353 insertions(+) create mode 100644 Rethinking_2/Data/Primates301.csv create mode 100644 Rethinking_2/Data/cars.csv diff --git a/Rethinking_2/Data/Primates301.csv b/Rethinking_2/Data/Primates301.csv new file mode 100644 index 0000000..6a3168f --- /dev/null +++ b/Rethinking_2/Data/Primates301.csv @@ -0,0 +1,302 @@ +"name";"genus";"species";"subspecies";"spp_id";"genus_id";"social_learning";"research_effort";"brain";"body";"group_size";"gestation";"weaning";"longevity";"sex_maturity";"maternal_investment" +"Allenopithecus_nigroviridis";"Allenopithecus";"nigroviridis";NA;1;1;0;6;58.02;4655;40;NA;106.15;276;NA;NA +"Allocebus_trichotis";"Allocebus";"trichotis";NA;2;2;0;6;NA;78.09;1;NA;NA;NA;NA;NA +"Alouatta_belzebul";"Alouatta";"belzebul";NA;3;3;0;15;52.84;6395;7.4;NA;NA;NA;NA;NA +"Alouatta_caraya";"Alouatta";"caraya";NA;4;3;0;45;52.63;5383;8.9;185.92;323.16;243.6;1276.72;509.08 +"Alouatta_guariba";"Alouatta";"guariba";NA;5;3;0;37;51.7;5175;7.4;NA;NA;NA;NA;NA +"Alouatta_palliata";"Alouatta";"palliata";NA;6;3;3;79;49.88;6250;13.1;185.42;495.6;300;1578.42;681.02 +"Alouatta_pigra";"Alouatta";"pigra";NA;7;3;0;25;51.13;8915;5.5;185.92;NA;240;NA;NA +"Alouatta_sara";"Alouatta";"sara";NA;8;3;0;4;59.08;6611.04;NA;NA;NA;NA;NA;NA +"Alouatta_seniculus";"Alouatta";"seniculus";NA;9;3;0;82;55.22;5950;7.9;189.9;370.04;300;1690.22;559.94 +"Aotus_azarai";"Aotus";"azarai";NA;10;4;0;22;20.67;1205;4.1;NA;229.69;NA;NA;NA +"Aotus_azarai_boliviensis";"Aotus";"azarai";"boliviensis";11;4;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Aotus_brumbacki";"Aotus";"brumbacki";NA;12;4;0;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Aotus_infulatus";"Aotus";"infulatus";NA;13;4;0;6;NA;NA;NA;NA;NA;NA;NA;NA +"Aotus_lemurinus";"Aotus";"lemurinus";NA;14;4;0;16;16.3;734;NA;132.23;74.57;216;755.15;206.8 +"Aotus_lemurinus_griseimembra";"Aotus";"lemurinus";"griseimembra";15;4;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Aotus_nancymaae";"Aotus";"nancymaae";NA;16;4;0;5;NA;791.03;4;NA;NA;NA;NA;NA +"Aotus_nigriceps";"Aotus";"nigriceps";NA;17;4;0;1;NA;958;3.3;NA;NA;NA;NA;NA +"Aotus_trivirgatus";"Aotus";"trivirgatus";NA;18;4;0;58;16.85;989;3.15;133.47;76.21;303.6;736.6;209.68 +"Aotus_vociferans";"Aotus";"vociferans";NA;19;4;0;12;NA;703;3.3;NA;NA;NA;NA;NA +"Archaeolemur_majori";"Archaeolemur";"majori";NA;20;5;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Arctocebus_aureus";"Arctocebus";"aureus";NA;21;6;NA;NA;5.88;210;NA;NA;NA;NA;NA;NA +"Arctocebus_calabarensis";"Arctocebus";"calabarensis";NA;22;6;0;1;6.92;309;1;133.74;109.26;156;298.91;243 +"Ateles_belzebuth";"Ateles";"belzebuth";NA;23;7;0;12;117.02;8167;14.5;138.2;NA;336;NA;NA +"Ateles_fusciceps";"Ateles";"fusciceps";NA;24;7;0;4;114.24;9025;NA;224.7;482.7;288;1799.68;707.4 +"Ateles_geoffroyi";"Ateles";"geoffroyi";NA;25;7;2;58;105.09;7535;42;226.37;816.35;327.6;2104.57;1042.72 +"Ateles_paniscus";"Ateles";"paniscus";NA;26;7;0;30;103.85;8280;20;228.18;805.41;453.6;2104.57;1033.59 +"Avahi_cleesei";"Avahi";"cleesei";NA;27;8;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Avahi_laniger";"Avahi";"laniger";NA;28;8;0;10;9.86;1207;2;136.15;149.15;NA;NA;285.3 +"Avahi_occidentalis";"Avahi";"occidentalis";NA;29;8;0;6;7.95;801;3;NA;NA;NA;NA;NA +"Avahi_unicolor";"Avahi";"unicolor";NA;30;8;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Brachyteles_arachnoides";"Brachyteles";"arachnoides";NA;31;9;0;57;NA;10537.31;19.6;221.75;734.82;NA;2876.24;956.57 +"Bunopithecus_hoolock";"Bunopithecus";"hoolock";NA;32;10;0;24;110.68;6728;3.2;232.5;635.13;NA;2689.08;867.63 +"Cacajao_calvus";"Cacajao";"calvus";NA;33;11;0;11;76;3165;23.7;180;339.29;324;1262.74;519.29 +"Cacajao_melanocephalus";"Cacajao";"melanocephalus";NA;34;11;0;8;68.77;2935;30;NA;NA;216;NA;NA +"Callicebus_donacophilus";"Callicebus";"donacophilus";NA;35;12;0;1;NA;897.67;1;NA;NA;NA;NA;NA +"Callicebus_hoffmannsi";"Callicebus";"hoffmannsi";NA;36;12;0;NA;NA;1067.61;1;NA;NA;NA;NA;NA +"Callicebus_moloch";"Callicebus";"moloch";NA;37;12;0;18;NA;958.13;2.95;164;58.85;303.6;1262.74;222.85 +"Callicebus_personatus";"Callicebus";"personatus";NA;38;12;0;19;NA;1390.8;2.35;NA;NA;NA;NA;NA +"Callicebus_torquatus";"Callicebus";"torquatus";NA;39;12;0;4;NA;1245;3.85;NA;121.66;NA;1683.65;NA +"Callimico_goeldii";"Callimico";"goeldii";NA;40;13;0;43;11.43;484;6.85;153.99;66.53;214.8;413.84;220.52 +"Callithrix_argentata";"Callithrix";"argentata";NA;41;14;0;16;7.95;345;9.5;NA;NA;201.6;701.52;NA +"Callithrix_aurita";"Callithrix";"aurita";NA;42;14;0;NA;NA;429;6;140;NA;NA;NA;NA +"Callithrix_emiliae";"Callithrix";"emiliae";NA;43;14;NA;NA;NA;309.58;NA;NA;NA;NA;NA;NA +"Callithrix_geoffroyi";"Callithrix";"geoffroyi";NA;44;14;0;NA;NA;342;NA;NA;NA;NA;NA;NA +"Callithrix_humeralifera";"Callithrix";"humeralifera";NA;45;14;0;4;NA;370;8.5;NA;99.01;180;NA;NA +"Callithrix_jacchus";"Callithrix";"jacchus";NA;46;14;2;161;7.24;320;8.55;144;60.24;201.6;455.99;204.24 +"Callithrix_kuhli";"Callithrix";"kuhli";NA;47;14;0;NA;NA;374.99;NA;NA;NA;NA;NA;NA +"Callithrix_mauesi";"Callithrix";"mauesi";NA;48;14;0;NA;NA;443.79;NA;NA;NA;NA;NA;NA +"Callithrix_penicillata";"Callithrix";"penicillata";NA;49;14;0;NA;7.32;328;5.9;NA;NA;NA;NA;NA +"Callithrix_pygmaea";"Callithrix";"pygmaea";NA;50;14;0;36;4.17;116;6;134.44;90.73;181.2;708.5;225.17 +"Cebus_albifrons";"Cebus";"albifrons";NA;51;15;1;13;65.45;2735;25;158.29;270.32;528;1501.69;428.61 +"Cebus_apella";"Cebus";"apella";NA;52;15;17;249;66.63;2936;7.9;154.99;263.12;541.2;1760.81;418.11 +"Cebus_capucinus";"Cebus";"capucinus";NA;53;15;5;60;72.93;2861;18.15;161.06;514.07;657.6;2134.73;675.13 +"Cebus_olivaceus";"Cebus";"olivaceus";NA;54;15;0;18;69.84;2931;11.45;NA;725.86;492;2525.48;NA +"Cebus_xanthosternos";"Cebus";"xanthosternos";NA;55;15;NA;NA;66.09;2440;NA;NA;NA;NA;NA;NA +"Cercocebus_agilis";"Cercocebus";"agilis";NA;56;16;NA;NA;116.43;7580;NA;NA;NA;NA;NA;NA +"Cercocebus_galeritus";"Cercocebus";"galeritus";NA;57;16;0;19;99.07;7435;20.35;174.43;NA;252;2735.94;NA +"Cercocebus_torquatus";"Cercocebus";"torquatus";NA;58;16;1;32;105.99;7485;26.85;168.98;NA;360;1318.86;NA +"Cercocebus_torquatus_atys";"Cercocebus";"torquatus";"atys";59;16;NA;NA;94.68;8600;35;165.08;NA;321.6;1321.67;NA +"Cercopithecus_albogularis";"Cercopithecus";"albogularis";NA;60;17;NA;NA;70.1;5620;32.5;NA;NA;NA;NA;NA +"Cercopithecus_ascanius";"Cercopithecus";"ascanius";NA;61;17;1;26;59.58;3714;26.3;148.5;146.54;339.6;1718.73;295.04 +"Cercopithecus_campbelli";"Cercopithecus";"campbelli";NA;62;17;0;11;57.39;3600;11;180.8;362.93;396;NA;543.73 +"Cercopithecus_campbelli_lowei";"Cercopithecus";"campbelli";"lowei";63;17;NA;NA;55.64;3187;NA;NA;NA;NA;NA;NA +"Cercopithecus_cephus";"Cercopithecus";"cephus";NA;64;17;0;8;65.26;3585;11;169.51;362.93;276;1521.9;532.44 +"Cercopithecus_cephus_cephus";"Cercopithecus";"cephus";"cephus";65;17;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Cercopithecus_cephus_ngottoensis";"Cercopithecus";"cephus";"ngottoensis";66;17;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Cercopithecus_diana";"Cercopithecus";"diana";NA;67;17;1;28;62.61;4550;24.95;NA;362.93;447.6;2279.95;NA +"Cercopithecus_erythrogaster";"Cercopithecus";"erythrogaster";NA;68;17;0;3;NA;3444.88;NA;NA;NA;NA;NA;NA +"Cercopithecus_erythrogaster_erythrogaster";"Cercopithecus";"erythrogaster";"erythrogaster";69;17;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Cercopithecus_erythrotis";"Cercopithecus";"erythrotis";NA;70;17;0;3;65.4;3250;NA;NA;NA;NA;NA;NA +"Cercopithecus_hamlyni";"Cercopithecus";"hamlyni";NA;71;17;0;4;65.9;4425;NA;NA;NA;NA;NA;NA +"Cercopithecus_lhoesti";"Cercopithecus";"lhoesti";NA;72;17;0;7;74.2;4710;17.4;NA;NA;192;NA;NA +"Cercopithecus_mitis";"Cercopithecus";"mitis";NA;73;17;0;56;71.33;6109;16;138.39;688.08;325.2;2049.25;826.47 +"Cercopithecus_mona";"Cercopithecus";"mona";NA;74;17;0;8;61.84;3719;NA;NA;NA;360;NA;NA +"Cercopithecus_neglectus";"Cercopithecus";"neglectus";NA;75;17;0;17;65.97;5450;4.5;172.07;417.62;315.6;2076.39;589.69 +"Cercopithecus_nictitans";"Cercopithecus";"nictitans";NA;76;17;0;7;71.13;5465;16;169.51;NA;276;1684.59;NA +"Cercopithecus_petaurista";"Cercopithecus";"petaurista";NA;77;17;0;5;55.08;3609;14;NA;NA;228;NA;NA +"Cercopithecus_pogonias";"Cercopithecus";"pogonias";NA;78;17;0;8;59.56;3580;15;169.51;NA;289.2;1684.59;NA +"Cercopithecus_preussi";"Cercopithecus";"preussi";NA;79;17;0;2;NA;5132.57;3;NA;NA;NA;NA;NA +"Cercopithecus_solatus";"Cercopithecus";"solatus";NA;80;17;0;6;NA;5256.91;10;NA;NA;NA;NA;NA +"Cercopithecus_wolfi";"Cercopithecus";"wolfi";NA;81;17;0;7;61.45;3390;NA;NA;NA;NA;NA;NA +"Cheirogaleus_crossleyi";"Cheirogaleus";"crossleyi";NA;82;18;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Cheirogaleus_major";"Cheirogaleus";"major";NA;83;18;0;3;5.81;400;1;70;47.14;180;420.91;117.14 +"Cheirogaleus_medius";"Cheirogaleus";"medius";NA;84;18;0;13;2.6;140;1;61.79;60.65;231.6;413.84;122.44 +"Chiropotes_satanas";"Chiropotes";"satanas";NA;85;19;0;21;48.33;3030;14.4;157.67;NA;216;NA;NA +"Chlorocebus_aethiops";"Chlorocebus";"aethiops";NA;86;20;5;91;65;3720;NA;NA;217.76;379.2;NA;NA +"Chlorocebus_pygerythrus";"Chlorocebus";"pygerythrus";NA;87;20;NA;NA;62.58;4324;NA;NA;NA;NA;NA;NA +"Chlorocebus_pygerythrus_cynosurus";"Chlorocebus";"pygerythrus";"cynosurus";88;20;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Chlorocebus_sabaeus";"Chlorocebus";"sabaeus";NA;89;20;NA;NA;64.91;4312;NA;NA;NA;NA;NA;NA +"Chlorocebus_tantalus";"Chlorocebus";"tantalus";NA;90;20;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Colobus_angolensis";"Colobus";"angolensis";NA;91;21;0;16;77.7;8625;10.9;NA;NA;NA;NA;NA +"Colobus_angolensis_palliatus";"Colobus";"angolensis";"palliatus";92;21;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Colobus_guereza";"Colobus";"guereza";NA;93;21;0;42;74.39;8589;7.6;169.02;387.79;294;1929.19;556.81 +"Colobus_polykomos";"Colobus";"polykomos";NA;94;21;0;17;73.83;9100;10.2;172.69;213.78;366;1629.84;386.47 +"Colobus_satanas";"Colobus";"satanas";NA;95;21;0;10;74.9;8910;15.5;192.76;NA;NA;NA;NA +"Colobus_vellerosus";"Colobus";"vellerosus";NA;96;21;NA;NA;73.07;7820;16;NA;NA;NA;NA;NA +"Daubentonia_madagascariensis";"Daubentonia";"madagascariensis";NA;97;22;0;52;44.85;2555;1;166.48;197.7;291.6;834.72;364.18 +"Erythrocebus_patas";"Erythrocebus";"patas";NA;98;23;2;33;97.73;9450;28;167.2;211.79;286.8;1246.07;378.99 +"Eulemur_coronatus";"Eulemur";"coronatus";NA;99;24;0;11;20.65;1180;6.95;124.04;NA;220.8;701.52;NA +"Eulemur_fulvus_albifrons";"Eulemur";"fulvus";"albifrons";100;24;NA;NA;21.45;2336;NA;NA;NA;NA;NA;NA +"Eulemur_fulvus_albocollaris";"Eulemur";"fulvus";"albocollaris";101;24;NA;NA;22.1;2140;NA;NA;NA;NA;NA;NA +"Eulemur_fulvus_collaris";"Eulemur";"fulvus";"collaris";102;24;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Eulemur_fulvus_fulvus";"Eulemur";"fulvus";"fulvus";103;24;1;81;25.77;2292;9.15;120.83;134.64;444;791.75;255.47 +"Eulemur_fulvus_mayottensis";"Eulemur";"fulvus";"mayottensis";104;24;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Eulemur_fulvus_rufus";"Eulemur";"fulvus";"rufus";105;24;NA;NA;25.4;2220;9.5;NA;NA;NA;NA;NA +"Eulemur_fulvus_sanfordi";"Eulemur";"fulvus";"sanfordi";106;24;NA;NA;NA;2394.03;7.7;NA;NA;NA;NA;NA +"Eulemur_macaco_flavifrons";"Eulemur";"macaco";"flavifrons";107;24;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Eulemur_macaco_macaco";"Eulemur";"macaco";"macaco";108;24;0;32;24.51;2390;9.2;127.49;143.28;360;660.75;270.77 +"Eulemur_mongoz";"Eulemur";"mongoz";NA;109;24;0;13;20.17;1212;2.7;129;151.13;360;1060.7;280.13 +"Eulemur_rubriventer";"Eulemur";"rubriventer";NA;110;24;0;13;26.23;1960;3.3;126.99;151.22;NA;566.36;278.21 +"Euoticus_elegantulus";"Euoticus";"elegantulus";NA;111;25;0;1;5.53;274;1;133.45;NA;180;NA;NA +"Galago_alleni";"Galago";"alleni";NA;112;26;0;2;5.58;252;6;133;NA;144;283.18;NA +"Galago_gallarum";"Galago";"gallarum";NA;113;26;NA;NA;NA;250;NA;NA;NA;NA;NA;NA +"Galago_granti";"Galago";"granti";NA;114;26;0;NA;4.07;NA;NA;NA;NA;NA;NA;NA +"Galago_matschiei";"Galago";"matschiei";NA;115;26;NA;NA;4.62;210;1;NA;NA;NA;NA;NA +"Galago_moholi";"Galago";"moholi";NA;116;26;0;14;3.71;148;1;122.29;90.46;198;420.91;212.75 +"Galago_senegalensis";"Galago";"senegalensis";NA;117;26;0;20;3.96;194;3.5;126.98;93.93;204;330.37;220.91 +"Galagoides_demidoff";"Galagoides";"demidoff";NA;118;27;0;5;2.65;75;5.5;111;43.47;168;345.24;154.47 +"Galagoides_zanzibaricus";"Galagoides";"zanzibaricus";NA;119;27;0;NA;3.51;143;1;120;59.27;NA;322.75;179.27 +"Gorilla_beringei";"Gorilla";"beringei";NA;120;28;NA;NA;491.27;130000;NA;NA;NA;NA;NA;NA +"Gorilla_gorilla_gorilla";"Gorilla";"gorilla";"gorilla";121;28;13;517;490.41;120950;6;257;920.35;648;3353.12;1177.35 +"Gorilla_gorilla_graueri";"Gorilla";"gorilla";"graueri";122;28;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Hapalemur_aureus";"Hapalemur";"aureus";NA;123;29;0;5;NA;1562.41;3;142.5;NA;NA;NA;NA +"Hapalemur_griseus";"Hapalemur";"griseus";NA;124;29;0;40;14.09;709;3.1;141.24;136.29;205.2;1003.17;277.53 +"Hapalemur_griseus_alaotrensis";"Hapalemur";"griseus";"alaotrensis";125;29;NA;NA;13.8;1240;NA;NA;NA;NA;NA;NA +"Hapalemur_griseus_griseus";"Hapalemur";"griseus";"griseus";126;29;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Hapalemur_griseus_meridionalis";"Hapalemur";"griseus";"meridionalis";127;29;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Hapalemur_griseus_occidentalis";"Hapalemur";"griseus";"occidentalis";128;29;NA;NA;14.2;NA;NA;NA;NA;NA;NA;NA +"Hapalemur_simus";"Hapalemur";"simus";NA;129;29;0;8;27.14;2150;7.5;140;NA;144;NA;NA +"Homo_sapiens";"Homo";"sapiens";NA;130;30;NA;NA;NA;58540.63;NA;274.78;725.86;1470;5582.93;1000.64 +"Homo_sapiens_neanderthalensis";"Homo";"sapiens";"neanderthalensis";131;30;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Hylobates_agilis";"Hylobates";"agilis";NA;132;31;0;16;91.16;5850;4.2;NA;NA;528;NA;NA +"Hylobates_klossii";"Hylobates";"klossii";NA;133;31;0;4;87.99;5795;3;207.59;NA;NA;NA;NA +"Hylobates_lar";"Hylobates";"lar";NA;134;31;0;86;101.87;5595;3.2;212.91;725.86;480;3852.57;938.77 +"Hylobates_moloch";"Hylobates";"moloch";NA;135;31;0;16;NA;5860.81;2.15;241.2;NA;NA;NA;NA +"Hylobates_muelleri";"Hylobates";"muelleri";NA;136;31;0;5;85.13;5821;3.2;206.7;NA;NA;NA;NA +"Hylobates_pileatus";"Hylobates";"pileatus";NA;137;31;0;16;84.69;5470;3.25;200.16;635.13;432;2454.24;835.29 +"Indri_indri";"Indri";"indri";NA;138;32;0;8;34.81;6335;3.1;136.5;331.34;NA;1605.69;467.84 +"Lagothrix_lagotricha";"Lagothrix";"lagotricha";NA;139;33;0;34;96.5;7150;33;223.99;312.66;360;1729.33;536.65 +"Lemur_catta";"Lemur";"catta";NA;140;34;4;103;22.9;2210;16.45;134.74;126.51;360;831.62;261.25 +"Leontopithecus_chrysomelas";"Leontopithecus";"chrysomelas";NA;141;35;0;46;11.84;655;6.7;NA;NA;NA;NA;NA +"Leontopithecus_chrysopygus";"Leontopithecus";"chrysopygus";NA;142;35;0;38;NA;656.12;3.6;NA;NA;NA;NA;NA +"Leontopithecus_rosalia";"Leontopithecus";"rosalia";NA;143;35;0;85;12.83;609;4.5;134;75.69;297.6;890.34;209.69 +"Lepilemur_aeeclis";"Lepilemur";"aeeclis";NA;144;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_ankaranensis";"Lepilemur";"ankaranensis";NA;145;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_dorsalis";"Lepilemur";"dorsalis";NA;146;36;0;1;6.7;870;1;NA;NA;NA;NA;NA +"Lepilemur_edwardsi";"Lepilemur";"edwardsi";NA;147;36;0;5;7.25;931;1;NA;NA;NA;NA;NA +"Lepilemur_hubbardorum";"Lepilemur";"hubbardorum";NA;148;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_leucopus";"Lepilemur";"leucopus";NA;149;36;0;2;6.87;606;1;135.92;121.66;103;620.76;257.58 +"Lepilemur_manasamody";"Lepilemur";"manasamody";NA;150;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_microdon";"Lepilemur";"microdon";NA;151;36;0;1;9.75;970;1;NA;NA;NA;NA;NA +"Lepilemur_mitsinjoensis";"Lepilemur";"mitsinjoensis";NA;152;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_mustelinus";"Lepilemur";"mustelinus";NA;153;36;0;5;9.56;777;1;133.45;76.21;144;663.81;209.66 +"Lepilemur_otto";"Lepilemur";"otto";NA;154;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_randrianasoli";"Lepilemur";"randrianasoli";NA;155;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_ruficaudatus";"Lepilemur";"ruficaudatus";NA;156;36;0;2;8.25;805;1;135.92;119.32;NA;NA;255.24 +"Lepilemur_sahamalazensis";"Lepilemur";"sahamalazensis";NA;157;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_seali";"Lepilemur";"seali";NA;158;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Lepilemur_septentrionalis";"Lepilemur";"septentrionalis";NA;159;36;0;NA;NA;755.77;1;134.99;120.97;NA;377.57;255.96 +"Lophocebus_albigena";"Lophocebus";"albigena";NA;160;37;0;34;93.97;6950;16;182.64;211.71;392.4;2525.48;394.35 +"Lophocebus_aterrimus";"Lophocebus";"aterrimus";NA;161;37;0;6;101.59;6800;17.5;NA;NA;321.6;NA;NA +"Loris_lydekkerianus";"Loris";"lydekkerianus";NA;162;38;NA;NA;6.34;267;NA;NA;NA;NA;NA;NA +"Loris_tardigradus";"Loris";"tardigradus";NA;163;38;0;14;5.87;193;1;165.99;167.49;196.8;350.76;333.48 +"Macaca_arctoides";"Macaca";"arctoides";NA;164;39;1;48;100.7;10300;NA;176.6;377.66;360;1570.01;554.26 +"Macaca_assamensis";"Macaca";"assamensis";NA;165;39;0;17;90.46;9100;21;NA;NA;NA;NA;NA +"Macaca_brunnescens";"Macaca";"brunnescens";NA;166;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Macaca_cyclopis";"Macaca";"cyclopis";NA;167;39;0;12;82;5470;20.2;161.06;205.24;NA;1650.01;366.3 +"Macaca_fascicularis";"Macaca";"fascicularis";NA;168;39;7;174;63.98;4251;27;164.69;283.53;456;1319.5;448.22 +"Macaca_fuscata";"Macaca";"fuscata";NA;169;39;45;253;102.92;9515;40.65;172.99;265.04;396;1460.77;438.03 +"Macaca_hecki";"Macaca";"hecki";NA;170;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Macaca_leonina";"Macaca";"leonina";NA;171;39;NA;NA;85.6;5642;NA;NA;NA;NA;NA;NA +"Macaca_maura";"Macaca";"maura";NA;172;39;0;22;NA;7290.3;NA;167.19;497.16;NA;NA;664.35 +"Macaca_mulatta";"Macaca";"mulatta";NA;173;39;15;296;88.98;6793;38.5;166.07;304.16;432;1101.07;470.23 +"Macaca_munzala";"Macaca";"munzala";NA;174;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Macaca_nemestrina";"Macaca";"nemestrina";NA;175;39;3;51;105.59;8821;22.6;171;292.6;411.6;1427.17;463.6 +"Macaca_nemestrina_leonina";"Macaca";"nemestrina";"leonina";176;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Macaca_nemestrina_siberu";"Macaca";"nemestrina";"siberu";177;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Macaca_nigra";"Macaca";"nigra";NA;178;39;0;27;94.9;7680;35;172.43;365;216;1984.51;537.43 +"Macaca_nigrescens";"Macaca";"nigrescens";NA;179;39;NA;NA;NA;NA;14.5;NA;NA;NA;NA;NA +"Macaca_ochreata";"Macaca";"ochreata";NA;180;39;0;3;NA;3400;NA;NA;NA;NA;NA;NA +"Macaca_pagensis";"Macaca";"pagensis";NA;181;39;NA;NA;NA;4534.66;NA;NA;272.2;360;1227.12;NA +"Macaca_radiata";"Macaca";"radiata";NA;182;39;0;34;74.87;5084;33.5;161.56;332.25;360;1785.78;493.81 +"Macaca_silenus";"Macaca";"silenus";NA;183;39;1;48;85;7500;21;172;362.93;480;1912.19;534.93 +"Macaca_sinica";"Macaca";"sinica";NA;184;39;0;12;69.7;4440;20.1;180.9;NA;420;1894.11;NA +"Macaca_sylvanus";"Macaca";"sylvanus";NA;185;39;0;67;93.2;12078;18.3;164.84;210.25;264;1542.25;375.09 +"Macaca_thibetana";"Macaca";"thibetana";NA;186;39;1;42;NA;10593.06;21;169.02;451.79;NA;NA;620.81 +"Macaca_tonkeana";"Macaca";"tonkeana";NA;187;39;2;26;NA;10035.53;NA;NA;NA;NA;NA;NA +"Mandrillus_leucophaeus";"Mandrillus";"leucophaeus";NA;188;40;0;18;148;15000;17;179.22;486.66;400.8;1745.96;665.88 +"Mandrillus_sphinx";"Mandrillus";"sphinx";NA;189;40;3;30;153.88;23600;13.9;173.99;348.01;555.96;2122.11;522 +"Microcebus_berthae";"Microcebus";"berthae";NA;190;41;NA;NA;NA;33.45;NA;NA;NA;NA;NA;NA +"Microcebus_bongolavensis";"Microcebus";"bongolavensis";NA;191;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_danfossi";"Microcebus";"danfossi";NA;192;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_griseorufus";"Microcebus";"griseorufus";NA;193;41;NA;NA;NA;70.24;NA;NA;NA;NA;NA;NA +"Microcebus_jollyae";"Microcebus";"jollyae";NA;194;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_lehilahytsara";"Microcebus";"lehilahytsara";NA;195;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_lokobensis";"Microcebus";"lokobensis";NA;196;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_macarthurii";"Microcebus";"macarthurii";NA;197;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_mamiratra";"Microcebus";"mamiratra";NA;198;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_mittermeieri";"Microcebus";"mittermeieri";NA;199;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_murinus";"Microcebus";"murinus";NA;200;41;0;66;1.63;65;1;60.34;40.45;186;355.53;100.79 +"Microcebus_myoxinus";"Microcebus";"myoxinus";NA;201;41;0;NA;NA;31.23;1;59.99;NA;NA;NA;NA +"Microcebus_ravelobensis";"Microcebus";"ravelobensis";NA;202;41;0;NA;NA;58.6;NA;NA;NA;NA;NA;NA +"Microcebus_rufus";"Microcebus";"rufus";NA;203;41;0;8;1.72;43;1;59.99;40;144;NA;99.99 +"Microcebus_sambiranensis";"Microcebus";"sambiranensis";NA;204;41;NA;NA;NA;49.06;NA;NA;NA;NA;NA;NA +"Microcebus_simmonsi";"Microcebus";"simmonsi";NA;205;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Microcebus_tavaratra";"Microcebus";"tavaratra";NA;206;41;NA;NA;NA;68.01;NA;NA;NA;NA;NA;NA +"Miopithecus_talapoin";"Miopithecus";"talapoin";NA;207;42;0;4;NA;1248.86;91.2;164.38;178.98;370.8;1733.36;343.36 +"Mirza_coquereli";"Mirza";"coquereli";NA;208;43;0;3;5.8;312;1;88.58;136;183.6;343.74;224.58 +"Mirza_zaza";"Mirza";"zaza";NA;209;43;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Nasalis_larvatus";"Nasalis";"larvatus";NA;210;44;0;17;92.3;14561;11.25;165.04;211.75;252;1894.11;376.79 +"Nomascus_concolor";"Nomascus";"concolor";NA;211;45;0;21;NA;6410.47;4;205.81;635.13;529.2;2454.24;840.94 +"Nomascus_gabriellae";"Nomascus";"gabriellae";NA;212;45;0;4;119.38;7365;1;NA;NA;NA;NA;NA +"Nomascus_leucogenys";"Nomascus";"leucogenys";NA;213;45;0;8;NA;7320;1;NA;NA;NA;NA;NA +"Nomascus_nasutus";"Nomascus";"nasutus";NA;214;45;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Nomascus_siki";"Nomascus";"siki";NA;215;45;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Nycticebus_bengalensis";"Nycticebus";"bengalensis";NA;216;46;NA;NA;13.49;1060;NA;NA;NA;NA;NA;NA +"Nycticebus_coucang";"Nycticebus";"coucang";NA;217;46;0;37;10.13;653;1;191.09;181.21;318;660.82;372.3 +"Nycticebus_javanicus";"Nycticebus";"javanicus";NA;218;46;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Nycticebus_menagensis";"Nycticebus";"menagensis";NA;219;46;NA;NA;9.67;634;NA;NA;NA;NA;NA;NA +"Nycticebus_pygmaeus";"Nycticebus";"pygmaeus";NA;220;46;0;19;7.23;307;1;185.42;NA;NA;NA;NA +"Otolemur_crassicaudatus";"Otolemur";"crassicaudatus";NA;221;47;1;36;11.78;1150;3.5;131.04;124.62;225.6;609.86;255.66 +"Otolemur_garnettii";"Otolemur";"garnettii";NA;222;47;1;12;11.5;764;1;132.24;139.2;204;592.15;271.44 +"Pan_paniscus";"Pan";"paniscus";NA;223;48;5;225;341.29;39100;85;235.24;1081.31;576;5465.72;1316.55 +"Pan_troglodytes_schweinfurthii";"Pan";"troglodytes";"schweinfurthii";224;48;NA;NA;390.33;38200;NA;NA;NA;NA;NA;NA +"Pan_troglodytes_troglodytes";"Pan";"troglodytes";"troglodytes";225;48;214;755;363.05;52750;50;231.49;1260.81;720;3897.96;1492.3 +"Pan_troglodytes_vellerosus";"Pan";"troglodytes";"vellerosus";226;48;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Pan_troglodytes_verus";"Pan";"troglodytes";"verus";227;48;NA;NA;371.74;43950;NA;NA;NA;NA;NA;NA +"Papio_anubis";"Papio";"anubis";NA;228;49;4;43;167.42;18150;40;178.96;596.6;302.4;NA;775.56 +"Papio_cynocephalus";"Papio";"cynocephalus";NA;229;49;2;114;163.19;17150;48.2;172.99;450.42;540;2560.56;623.41 +"Papio_hamadryas";"Papio";"hamadryas";NA;230;49;1;78;146.17;14150;36.9;180;363.96;450;1652.37;543.96 +"Papio_papio";"Papio";"papio";NA;231;49;3;8;142.5;18026.05;NA;184.42;NA;480;NA;NA +"Papio_ursinus";"Papio";"ursinus";NA;232;49;5;22;178;22300;47;185.92;877.09;540;1543.35;1063.01 +"Perodicticus_potto";"Perodicticus";"potto";NA;233;50;0;10;12.42;835;1;193;149.15;312;561.58;342.15 +"Phaner_furcifer";"Phaner";"furcifer";NA;234;51;0;1;NA;409.87;1;174.46;NA;144;NA;NA +"Phaner_furcifer_pallescens";"Phaner";"furcifer";"pallescens";235;51;NA;NA;6.68;339;NA;NA;NA;NA;NA;NA +"Piliocolobus_badius";"Piliocolobus";"badius";NA;236;52;0;52;63.59;8285;34;151.41;783.93;NA;1473.2;935.34 +"Piliocolobus_foai";"Piliocolobus";"foai";NA;237;52;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Piliocolobus_gordonorum";"Piliocolobus";"gordonorum";NA;238;52;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Piliocolobus_kirkii";"Piliocolobus";"kirkii";NA;239;52;1;7;57.25;5630;33.6;165;NA;NA;NA;NA +"Piliocolobus_pennantii";"Piliocolobus";"pennantii";NA;240;52;0;NA;NA;10896;NA;NA;NA;NA;NA;NA +"Piliocolobus_preussi";"Piliocolobus";"preussi";NA;241;52;0;NA;NA;8865.71;40;195;NA;NA;NA;NA +"Piliocolobus_rufomitratus";"Piliocolobus";"rufomitratus";NA;242;52;NA;NA;NA;8030.75;24.5;195;NA;NA;NA;NA +"Piliocolobus_tephrosceles";"Piliocolobus";"tephrosceles";NA;243;52;NA;NA;70.95;8409;34;NA;NA;NA;NA;NA +"Piliocolobus_tholloni";"Piliocolobus";"tholloni";NA;244;52;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Pithecia_irrorata";"Pithecia";"irrorata";NA;245;53;0;7;NA;2308.17;4.4;NA;NA;NA;NA;NA +"Pithecia_pithecia";"Pithecia";"pithecia";NA;246;53;0;28;32.26;1760;2.7;161.13;113.15;248.4;1089.37;274.28 +"Pongo_abelii";"Pongo";"abelii";NA;247;54;NA;NA;389.5;62815;NA;NA;NA;NA;NA;NA +"Pongo_pygmaeus";"Pongo";"pygmaeus";NA;248;54;86;321;377.38;58542;1;259.42;1088.8;720;3318.62;1348.22 +"Presbytis_comata";"Presbytis";"comata";NA;249;55;0;11;80.3;6695;7.05;NA;NA;NA;NA;NA +"Presbytis_melalophos";"Presbytis";"melalophos";NA;250;55;0;6;64.85;6560;14;NA;NA;192;NA;NA +"Procolobus_verus";"Procolobus";"verus";NA;251;56;0;3;52.6;4450;6.3;167.84;NA;NA;NA;NA +"Propithecus_coquereli";"Propithecus";"coquereli";NA;252;57;NA;NA;30.19;3729;5.5;140.99;180.96;NA;NA;321.95 +"Propithecus_deckenii";"Propithecus";"deckenii";NA;253;57;NA;NA;30.15;3532;NA;NA;NA;NA;NA;NA +"Propithecus_diadema";"Propithecus";"diadema";NA;254;57;0;28;39.8;6130;4.95;152.08;256.27;NA;1683.65;408.35 +"Propithecus_edwardsi";"Propithecus";"edwardsi";NA;255;57;NA;NA;39.49;5682;6;NA;NA;NA;NA;NA +"Propithecus_tattersalli";"Propithecus";"tattersalli";NA;256;57;0;9;NA;3531.39;4.1;NA;152.13;NA;NA;NA +"Propithecus_verreauxi";"Propithecus";"verreauxi";NA;257;57;1;41;26.21;2955;6.3;149.77;177.83;247.2;943.94;327.6 +"Pygathrix_cinerea";"Pygathrix";"cinerea";NA;258;58;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Pygathrix_nemaeus";"Pygathrix";"nemaeus";NA;259;58;0;25;91.41;9720;9.3;182.88;NA;300;NA;NA +"Rhinopithecus_avunculus";"Rhinopithecus";"avunculus";NA;260;59;0;11;NA;9086.19;30;200;NA;NA;NA;NA +"Rhinopithecus_bieti";"Rhinopithecus";"bieti";NA;261;59;0;NA;NA;11000.54;50;170;NA;NA;755.15;NA +"Rhinopithecus_brelichi";"Rhinopithecus";"brelichi";NA;262;59;0;16;NA;12267.15;NA;200;NA;NA;NA;NA +"Rhinopithecus_roxellana";"Rhinopithecus";"roxellana";NA;263;59;0;36;117.76;14750;65;199.34;NA;NA;NA;NA +"Rungwecebus_kipunji";"Rungwecebus";"kipunji";NA;264;60;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Saguinus_bicolor";"Saguinus";"bicolor";NA;265;61;0;9;NA;465;6.7;158.16;NA;NA;NA;NA +"Saguinus_fuscicollis";"Saguinus";"fuscicollis";NA;266;61;2;81;7.94;401;6;148;90.1;294;406.61;238.1 +"Saguinus_fuscicollis_melanoleucus";"Saguinus";"fuscicollis";"melanoleucus";267;61;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Saguinus_geoffroyi";"Saguinus";"geoffroyi";NA;268;61;0;NA;10.14;517;6.9;NA;NA;NA;NA;NA +"Saguinus_imperator";"Saguinus";"imperator";NA;269;61;0;16;NA;407.91;5;NA;NA;242.4;NA;NA +"Saguinus_leucopus";"Saguinus";"leucopus";NA;270;61;0;3;9.7;525;7.5;142.5;NA;NA;NA;NA +"Saguinus_midas";"Saguinus";"midas";NA;271;61;0;17;9.78;563;5.55;138.24;69.6;184.8;841.82;207.84 +"Saguinus_mystax";"Saguinus";"mystax";NA;272;61;0;46;11.09;584;5.4;148.28;NA;NA;556.85;NA +"Saguinus_niger";"Saguinus";"niger";NA;273;61;NA;NA;9.48;375;NA;NA;NA;NA;NA;NA +"Saguinus_oedipus";"Saguinus";"oedipus";NA;274;61;0;153;9.76;431;7.05;166.49;49.85;277.2;680.38;216.34 +"Saguinus_tripartitus";"Saguinus";"tripartitus";NA;275;61;0;5;NA;385.05;NA;NA;NA;NA;NA;NA +"Saimiri_boliviensis";"Saimiri";"boliviensis";NA;276;62;0;36;NA;799.45;60;157.79;NA;NA;NA;NA +"Saimiri_oerstedii";"Saimiri";"oerstedii";NA;277;62;1;4;25.07;789;25.1;161;362.93;NA;NA;523.93 +"Saimiri_sciureus";"Saimiri";"sciureus";NA;278;62;1;89;24.14;799;34.85;164.09;177.41;324;1399.88;341.5 +"Saimiri_ustus";"Saimiri";"ustus";NA;279;62;0;4;NA;886.47;NA;NA;238.64;NA;NA;NA +"Semnopithecus_entellus";"Semnopithecus";"entellus";NA;280;63;2;98;110.93;14742;19;197.7;402.1;300;1497.64;599.8 +"Symphalangus_syndactylus";"Symphalangus";"syndactylus";NA;281;64;0;40;123.5;11295;3.8;230.66;635.38;456;3788.23;866.04 +"Tarsius_bancanus";"Tarsius";"bancanus";NA;282;65;0;8;3.16;126;1;125.84;78.55;144;658.68;204.39 +"Tarsius_dentatus";"Tarsius";"dentatus";NA;283;65;0;2;3;113;1;NA;NA;NA;NA;NA +"Tarsius_lariang";"Tarsius";"lariang";NA;284;65;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Tarsius_syrichta";"Tarsius";"syrichta";NA;285;65;0;10;3.36;126;1;177.99;82.49;180;NA;260.48 +"Theropithecus_gelada";"Theropithecus";"gelada";NA;286;66;0;34;133.33;15350;10;178.64;494.95;336;1894.11;673.59 +"Trachypithecus_auratus";"Trachypithecus";"auratus";NA;287;67;0;2;NA;9719.6;11;NA;NA;NA;NA;NA +"Trachypithecus_cristatus";"Trachypithecus";"cristatus";NA;288;67;0;8;57.86;6394;27.4;NA;362.93;373.2;NA;NA +"Trachypithecus_delacouri";"Trachypithecus";"delacouri";NA;289;67;0;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Trachypithecus_francoisi";"Trachypithecus";"francoisi";NA;290;67;0;45;NA;8139.93;NA;NA;391.76;NA;NA;NA +"Trachypithecus_geei";"Trachypithecus";"geei";NA;291;67;0;7;81.3;10150;11;NA;NA;NA;NA;NA +"Trachypithecus_germaini";"Trachypithecus";"germaini";NA;292;67;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Trachypithecus_johnii";"Trachypithecus";"johnii";NA;293;67;1;9;84.6;11600;10;NA;NA;NA;NA;NA +"Trachypithecus_laotum";"Trachypithecus";"laotum";NA;294;67;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Trachypithecus_obscurus";"Trachypithecus";"obscurus";NA;295;67;0;6;62.12;7056;10;146.63;362.93;300;NA;509.56 +"Trachypithecus_phayrei";"Trachypithecus";"phayrei";NA;296;67;0;16;72.84;7475;12.9;180.61;305.87;NA;NA;486.48 +"Trachypithecus_pileatus";"Trachypithecus";"pileatus";NA;297;67;0;5;103.64;11794;8.5;NA;NA;NA;NA;NA +"Trachypithecus_poliocephalus";"Trachypithecus";"poliocephalus";NA;298;67;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA +"Trachypithecus_vetulus";"Trachypithecus";"vetulus";NA;299;67;0;2;61.29;6237;8.35;204.72;245.78;276;1113.7;450.5 +"Varecia_rubra";"Varecia";"rubra";NA;300;68;NA;NA;31.08;3470;NA;NA;NA;NA;NA;NA +"Varecia_variegata_variegata";"Varecia";"variegata";"variegata";301;68;0;57;32.12;3575;2.8;102.5;90.73;384;701.52;193.23 diff --git a/Rethinking_2/Data/cars.csv b/Rethinking_2/Data/cars.csv new file mode 100644 index 0000000..34b3d46 --- /dev/null +++ b/Rethinking_2/Data/cars.csv @@ -0,0 +1,51 @@ +"","speed","dist" +"1",4,2 +"2",4,10 +"3",7,4 +"4",7,22 +"5",8,16 +"6",9,10 +"7",10,18 +"8",10,26 +"9",10,34 +"10",11,17 +"11",11,28 +"12",12,14 +"13",12,20 +"14",12,24 +"15",12,28 +"16",13,26 +"17",13,34 +"18",13,34 +"19",13,46 +"20",14,26 +"21",14,36 +"22",14,60 +"23",14,80 +"24",15,20 +"25",15,26 +"26",15,54 +"27",16,32 +"28",16,40 +"29",17,32 +"30",17,40 +"31",17,50 +"32",18,42 +"33",18,56 +"34",18,76 +"35",18,84 +"36",19,36 +"37",19,46 +"38",19,68 +"39",20,32 +"40",20,48 +"41",20,52 +"42",20,56 +"43",20,64 +"44",22,66 +"45",23,54 +"46",24,70 +"47",24,92 +"48",24,93 +"49",24,120 +"50",25,85 From 7639e679da53efc3b7c3b2fbad085cd92836b2bb Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 4 May 2020 23:01:58 +0100 Subject: [PATCH 04/15] removed chapter 6 from 7 branch --- Rethinking_2/Chp_06.ipynb | 3109 ------------------------------------- 1 file changed, 3109 deletions(-) delete mode 100644 Rethinking_2/Chp_06.ipynb diff --git a/Rethinking_2/Chp_06.ipynb b/Rethinking_2/Chp_06.ipynb deleted file mode 100644 index 6e9fefd..0000000 --- a/Rethinking_2/Chp_06.ipynb +++ /dev/null @@ -1,3109 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chapter 6" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import arviz as az\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import numpy as np\n", - "import pandas as pd\n", - "import pymc3 as pm\n", - "from scipy import stats" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "%config Inline.figure_format = 'retina'\n", - "az.style.use('arviz-darkgrid')\n", - "np.random.seed(0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.1" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 1. , -0.74495204],\n", - " [-0.74495204, 1. ]])" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.random.seed(3)\n", - "N = 200 # num grant proposals\n", - "p = 0.1 # proportion to select\n", - "# uncorrelated newsworthiness and trustworthiness\n", - "nw = np.random.normal(size=N)\n", - "tw = np.random.normal(size=N)\n", - "# select top 10% of combined scores\n", - "s = nw + tw # total score\n", - "q = np.quantile(s, 1-p) # top 10% threshold\n", - "selected = s >= q\n", - "cor = np.corrcoef(tw[selected], nw[selected])\n", - "cor" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'trustworthiness')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure 6.1\n", - "plt.scatter(nw[~selected], tw[~selected], lw=1, edgecolor='k', color=(0,0,0,0))\n", - "plt.scatter(nw[selected], tw[selected], color='C0')\n", - "plt.text(0.8, 2.5, 'selected', color='C0')\n", - "\n", - "# correlation line\n", - "xn = np.array([-2,3])\n", - "plt.plot(xn, tw[selected].mean() + cor[0,1] * (xn - nw[selected].mean()))\n", - "\n", - "plt.xlabel('newsworthiness')\n", - "plt.ylabel('trustworthiness')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.2" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
heightleg_leftleg_right
010.1781074.2064294.158048
111.5577944.7698754.825845
212.5292905.5439525.529080
38.2389773.8537353.801846
410.4728114.3330444.290579
\n", - "
" - ], - "text/plain": [ - " height leg_left leg_right\n", - "0 10.178107 4.206429 4.158048\n", - "1 11.557794 4.769875 4.825845\n", - "2 12.529290 5.543952 5.529080\n", - "3 8.238977 3.853735 3.801846\n", - "4 10.472811 4.333044 4.290579" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 100 # number of individuals\n", - "height = np.random.normal(10, 2, N) # sim total height of each\n", - "leg_prop = np.random.uniform(0.4, 0.5, N) # leg as proportion of height\n", - "leg_left = leg_prop * height + np.random.normal(0, 0.02, N) # sim left leg as proportion + error\n", - "leg_right = leg_prop * height + np.random.normal(0, 0.02, N) # sim right leg as proportion + error\n", - "\n", - "d = pd.DataFrame(np.vstack([height,leg_left,leg_right]).T, columns=['height', 'leg_left', 'leg_right']) # combine into data frame\n", - "\n", - "d.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.3" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, br, bl, a]\n", - "Sampling 2 chains, 1 divergences: 100%|██████████| 2000/2000 [01:04<00:00, 30.93draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.9950.3500.4411.5360.0150.011516.0477.0517.0471.01.00
bl-1.9262.232-5.3661.4220.1240.096323.0270.0333.0417.01.01
br3.9482.2200.5157.2430.1230.094327.0282.0336.0417.01.01
sigma0.6430.0470.5770.7250.0020.001594.0592.0612.0507.01.00
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.995 0.350 0.441 1.536 0.015 0.011 516.0 \n", - "bl -1.926 2.232 -5.366 1.422 0.124 0.096 323.0 \n", - "br 3.948 2.220 0.515 7.243 0.123 0.094 327.0 \n", - "sigma 0.643 0.047 0.577 0.725 0.002 0.001 594.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 477.0 517.0 471.0 1.00 \n", - "bl 270.0 333.0 417.0 1.01 \n", - "br 282.0 336.0 417.0 1.01 \n", - "sigma 592.0 612.0 507.0 1.00 " - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_1:\n", - " a = pm.Normal('a', 10, 100)\n", - " bl = pm.Normal('bl', 2, 10)\n", - " br = pm.Normal('br', 2, 10)\n", - " \n", - " mu = pm.Deterministic('mu', a + bl * d.leg_left + br * d.leg_right)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " height = pm.Normal('height', mu=mu, sigma=sigma, observed=d.height)\n", - " \n", - " m_6_1_trace = pm.sample()\n", - "\n", - "az.summary(m_6_1_trace, var_names=['~mu'], credible_interval=.89)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.4" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "_ = az.plot_forest(m_6_1_trace, var_names=['~mu'], combined=True, figsize=[5, 2], credible_interval=0.89)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.5 & 6.6\n", - "\n", - "Because we used MCMC (c.f. `quap`), the posterior samples are already in `m_6_1_trace`." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0, 'sum of bl and br')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnkAAAErCAYAAACip5XAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdeXyU9bnw/8/3nmQmk30jbAFZArKDLAn7JgjuirRSF7D6VFu1Hq09rXpOz9P2sUd7zq/n6fm5V21Vqh4XRKsIgqwCYQdRdsImO4Rsk22W+/v88SUoQiBAknuW6/165RUyc8/k4k5yzzXf5bqU1lojhBBCCCGiiuV0AEIIIYQQovFJkieEEEIIEYUkyRNCCCGEiEKS5AkhhBBCRCFJ8oQQQgghopAkeUIIIYQQUUiSPCGEEEKIKCRJnhBCCCFEFJIkTwghhBAiCkmSJ4QQQggRheKcDiCcjB07lgMHDpz1vltvvZXf//73zRyREEIIIcTFkSTve1JSUpg2bdoZt/fq1cuBaIQQQgghLo4ked+TmprKz3/+8wt6TElJSRNF07TS0tIoKytzOoywJOfm7GLtvGRkZDgdwiU71/Up1n6e4UDOefOL1nPekOuTrMmLYZYlP/76yLk5Ozkv0UV+ns1Pznnzi+VzLiN53+P3+5k5cyZHjhwhNTWV/v37061bN6fDEkIIIYS4IJLkfc+xY8d47LHHTrttxIgR/Md//AeZmZkORSWEEEIIcWEkyfuOSZMmkZ+fT15eHm63m6KiIp599lmWLFnC/fffz9tvv41S6ozHpaWlRexwcDSsOWoqcm7OTs6LEEJEBqW11k4HEc5s2+aOO+5g7dq1vPTSS4wePfqMYyJ140VGRkbExt7U5NycXaydl2hIaM/184q1n2c4kHPe/KL1nMvGi0ZgWRaTJk0CYN26dZf8fLatCQY1ti25tRBCCCGajkzXNkBdtlxdXX3Rz6G1prZW4/dDKAQuF7jdGo9HnXUKWAghhBDiUshIXgNs3LgRgLZt2170c9TWaupyRLfbfK6uNrcLIYQQQjQ2Gck7aefOneTk5JCamnra7WvWrOFvf/sbbrebq6666qKe27bNCJ7LBXFxZtQuLg7A3O52ayxLRvOEEOf2wQcf8Pjjj59x+6OPPsq9997rQESiKQWDmq3bYO8+MwPUvh307gUul7xeiIaRJO+k2bNn88orrzBkyBDatm2L2+1m+/btLFu2DMuy+N3vfkebNm0u6rlt2/yB1o3g1XG5oKYW/AGNOx5J9IQQDfK3v/2NxMTEU1+3bt3awWhEYzt0SDPzI80nn0J5+en35bSAhx6E0aPk9UKcnyR5JxUUFFBUVMTmzZtZtWoVfr+frKwsrrnmGu666y769Olz0c9tWSahC4XqRvDMGr3KSvAHAA3+eC1r9IQQDdKrV68zZh1E+LFtzeYtsG2budbntoW+fUKkpOgzrvN+v2blKpg1W7NsOWgNXbvAHbcpunYxrx1fb4J339P86//W3PNj+PE0ea0Q5yZJ3kn5+fnk5+c3yXNblsLtrluTp3G5oLISfFWQnAgJCSYBrLs/IUH+cIUQIpJt36H5w9OaoqLv31NKViZ06KDJaWFmeIpPwJcboaLCDAiMHQOTJyl69eS0ZLBfX7jhenjsCc2rf9OkpsAtk+T1QtRPkrxm4vEo6tbgmSlak+AlJZk/YlmjJ4RoqIkTJ1JaWkpubi633XYb06ZNkxmAMLJtu+bBhzQhG6bdCUMGK9xu+GY/HDiQQOGKavbshXXrzYidNwG6doWxYxRjx0BGev0/y9QUxf/3R/jZzzX//3OaLl2gT2/52YuzkySvmSilSEgwI3r+gAZtRvC+e2F2ucDvN2v4IrSBhhCiCbVo0YKHHnqIvn37orVm7ty5PP3005SWlvLwww87HZ4AKio0v35Cg4IXnlVc3vXba3zXLpCRkcjUO2oBCAQ0tm1G8y4kSU9MVPz7/4G7f6L596c1r72KzACJs5Ikr5lZlsIdb9bgfXeNHnxbP08SPCHE2YwYMYIRI0ac9rVSir/+9a/ce++9p23GqHO+tovR0NUjnDz/YiXHj9fwp/9IZnCB56zHNMY5z8iAX/6iht/9n0r+510Pj/xT0iU/ZzSL1d9zSfIccLY1eqGQ+fB6ZZetEKLhJkyYwDvvvMPOnTvPukGsrKys3sdGa7snp+zdq/mfdzX5gyB/UCUlJVVnHNOY5/zKMZoPZsLr02sYP66Wtm3kteNsovX3XNqahTGPR+H1mn/7/eaz11u3dq+utp6NP2BLCzQhhIgA//OumX792X3NUyXBshQPPagIBOCll+V1QpxJkjyHmDV6FsnJipQURXKy+Rqgutrm+HHN4cNw5DAcP66prrbRWv6IhRCnmzNnDh6Ph7y8PKdDiWknTmjmzIVBA6FLXvONqHXvprhyLCxYCLt2yWuEOJ1M1zrMstRpa/BqazWlpWb3rTve3FZdA4EApKdrmc4VIoY9+OCD9O7dm27dugEwd+5c3n//fR544IGzrscTzWfOXHOd/uEPmv/6fNdUxYKFmtema37/v+X1QXxLkrwwYtuamhoI2eBxm00ZWkOtH0rLTOmVjHRNYqIUTRYiFnXu3JmZM2dy+PBhQqEQnTp14re//S0/+tGPnA4t5n02V5OVCfkDm/97d+ygGDVCs2gxHD6iadVSXhuEIUleGLFtCAZBKbPLFkxi5/NBbc3J+zBFkzMzNV6v/CELEUseeeQRHnnkEafDEN+zs0hTtAtu/aFzfWV/MFmxaInmw480P71XXhuEIWvywohlfTt6FwqZpM/nM4leMGhur6mF4hI4dAiqa2RThhBCOG3BQnMdvmqcc8lVn97QuTN8/IlZ9iMESJIXVixLkZAALstM0dbUQFWVGcWz7ZMJoA2lpbCzCHbvlk0ZQgjhtOWFkJNjih07RSnF5JsVZeUwf4FzcYjwIklemPF4FOnpps1NIGDKq1gWeBNNX8M9++D4MaiuMkmgr8okffLOTQghmt/hI5qdRTB0yIV1rWgK48dBSgq8P1PLG38BSJIXdpRSeL0W2dmKtm2hTVuw4sw6PJ8PsCE+HuLdZoQPGwJBqKyEYNB2OnwhhIgphSvM52FDnV8Hl5CguP5a2L4dtmx1OhoRDiTJC1Nm6tYiMx0sZZI8OwTKgkQvJKeABsrL4UQJHC82/66pkalbIYRoLqtWa9zx0L+f05EY111rks1Zn8rrgJAkL+wleCEzHdwJ4PGc/EgAdxz4KmHPXjh4EEpKoLzCjOjJ1K0QQjQ929Zs+BJ69fq2W5HT2rdT9OkNny+Amhp5LYh1kuSFOZelyMyEltmQkQmJiaaMSkUlHDgApeUQ9J/8+iCUlZt1fLLrVgghmtbOIrNWuv8V4ZHg1bn2GkVlJSxe4nQkwmmS5IU5yzI9bpOTzYLaFi3MJoxjR6G21ozypaYCGo4dgz27zfRtKCRJnhBCNKX1G8znK8JkqrbOmFFm896s2fI6EOukGHIEMDtuNa4Kk9gleExil5UFbre5raraTN8ePQKcLKbcMsc+1TZNWqEJIUTj2rBB4/FAj+5OR3K6xETF2LGaWZ/CgYOatm3k+h+rZCQvAnx3x23LVtCmDWRlQkICVFaZ5K62BkJBs9O2qga274SvvoZ9+zTHjmuqqmRDhhBCNBatNZs2Q/duEB8ffknUNRNNTJ/NdTgQ4ShJ8iKIZSnc8dapqduaWrPj1h8w/66qNiN4tdVmvd6WLbB2A2xYD1u3QUmJ1E4SQojGcPiwWRrTo4fTkZxdn97QuhXM/Vyu+7FMkrwIFBdn0bKlGclzuUx5FTCbMlq2gLIK8JWZEb5ADRw9bhYIb9kClZXyxy6EEJdq02bzuWf38BvFAzMDNG4c7N8P27Y5HY1wiiR5ESojAzp1gOwsk+wlJkFOC7BcplOGjel3G+eG+Dhz295vYO9eCIWkaLIQQlyKzVvMG+aeYTqSBzD+SpOAzv1c3tzHKknyIlRcnEWLFtC+PXTqaJI+tJm61Zhp3HhP3bHgcQMKDh+BsjIHAxdCiCiwabPpV5udHZ4jeQCdOiryOptetlJxITZJkhfBPB5FWhq0bQMtcyA1zYzqJXsxO2wxNfNqak39PDsElT4zfevzyUYMIYS4GH6/ZvuO8NtVezbjxymKT8C69U5HIpwgSV4EU0qRmGiRlWUW2F7e1UwdtGsHXi9UVZnyKrW1gAaXBVrDiWLTJePY8QCBgC2Fk4UQ4gLs2GmWwPTsEb6jeHXGXQlKwTyZso1JUicvCni9CsvS+P1mI0aCB9zxsG0n6BC4PRAfb3rgKhdUlJuduCdKakhOgdYtNUlJGo9HoVT4X7SEEMJJm7eYz+G8Hq9OyxxF3z6aRUvg0Ud02LRfE81DkrwooJQiIUHhdmtsG9LTITNTk5RsetpWV0NIgw6CVlDug+oqCAQDeNxQ3hFat4aWLTWJiXIBEEKIc9m0WeNymdmTSDB+nGLDl5rlhTBmtNPRiOYk07VRxLIUcXHK1NNzKy5rD507mQQuId50xwgFzcaLCh+EbLNWb+83sHsPHDoEwaDsvBVCiHPZtBnyOhMxo2JjRpkNePPmy5RtrJGRvChlWQqPx4zsaW2maEvLodZv1urFx0FaqkVZqU15mbm9vByUZdqhJSbK1K0QQnxfRYXm0CEYNNDpSBouNVUxpEBTuALKKzSpKXJtjxUykhfFPB6F1wvJyeBNgoDffCgLPB7AVtT6obIGSorhm/2mM8bOnVBaKlXShRDi+4p2mc95nSMrURo3ThEIwJIlTkcimpMkeVHMrNWzSEsztZJycyHRa6ZtgzZUVoXM7tsasxFD21BRAXv2mI+qKknyhBDiu4qKzOe8zs7GcaGGDzVVF6QwcmyRJC8GWJYiNUXRqaMp3pmSBGizGcMfMLX0XHGQmgHxLtOPcfce0/9WumMIIcS3dhaZJKlzJ4cDuUAej2LkCFi/AYqLJdGLFZLkxQilFJmZiu7dzY6wVi1Nr9v4OPPuLjsTPHFQXmHW7n1zwBTP3L4D/H5J9IQQAkwf8NatISkpsqZrAcaOVmgNi2TKNmbIxosYYhI9SEjQtMiB48Xx6FCAmhpI8EJllSmUXFNjCn0WF8OhI9CvD/TtY5OeDpYl7wuEELEpFNLs2g35g5yO5OIMGgjJSbBwkeaWmyMvSRUXTpK8GKOUIilJ4fVq2uUmYAcD7PsGjh2H8jKorgF/rWmFFh8Hhw6ar8vLID/fvIMVQohYdOCA6SAUaevx6rjdihHDNXPmwvFiTXaWJHrRToZlYpRlKTIy4uncGdqfbIMWCAIKKipNAeVyHxw/YaZsly6DOZ/Bvm9sWacnhIhJO+o2XeRFbnI0doyZsl282OlIRHOQJC+GKaVIT1dcfjnk5UFqMtghUzDZ5TLvWP0nd96WlsHmrbB8udl5K+v0hBCxpm7TRV6Ebbr4roEDTFmtBYtk80UskCQvximlSEmx6H45tM4FFFiW6YYRCEIwZBI+fxAOH4E162DBQvjqazh4UEb1hHBSZWUlI0eO5PLLL2fLli1OhxP1inaaWY9IXrYSH68YORw2fgXHjkmiF+0kyRMAJKeYd6ctWoClzHStvxY0ZmTP5zOlVo4e+7Zg8vYdpoCyFE0WwhnPP/88oVDI6TBixs5dZj2eZUXudC3AmDGyyzZWSJInAHBZirZt4Iq+0OVy825V2ybh0xpcQFIiuONM39t9e2H3blNzSd4NCtH8ioqKeOutt/j5z3/udCgxobxcc/QodI7QTRffNbA/pKTAgoVy7Y52srtWAOadaXKypk1bk9RZFnz5pemAYbkgwQNxLjN9iw37DsL+w+a2E8UwfrxN2zbgcsn7BiGawx/+8AemTJlCx44dnQ4lJuys23TRKbJH8eDklO0IzaxPzZv0Fi0i//8kzk5ekcUpHo+iZQuz27Z3T+iSB+lpZkOGN9FM3SrMtG3xcSg5YWrpbfwaPv8cDh5y+n8gRGyYM2cOW7du5YEHHnA6lJhxKsnLczaOxjJ2tEnsFsou26gmI3niFKUUiYmK3FxNTo4mJwdWrIKjR6CqEo4ch+rKb2vpuVzg9kD1YbMTNy4ObrjeJi1NoZS8MxSiKVRXV/P000/zi1/8guTk5PMen5aWds4i5hkZGY0ZXtTav9+HUrX0759BUuKlXd/C4ZxfOVaTllbCkqUu7vtJmtPhNLlwOOdOkCRPnMGyFAkJii55NvFxZtr2RIkZwSstNQmfpUy/W78fggGzUWPpMrPOY8xoTXq6JHlCNIUXXniBrKwsJk2a1KDjy8rK6r0vIyODkpKSxgotqm3abJak+GtL8dde/POE0zkfMUzzyadBtm47Qcuc6L1mh9M5b0wNSVxlulbUy7IsOnSAYcOgbx/o2s1svoiLh6QUk+j5/WZkr/xkv9u58+DjWXDokI0/YGPbsrBXiMZy4MAB/vrXv/LQQw/h8/koLy+nqqoKMOVUKisrHY4wOgWDmt27o2PTxXeNHWMSOymMHL1kJE+ck2VZ5ORAerpNegYcP2qKI9dUmx631TUm0QMI+OHAQZi/wNw3ZDC0y9V4PBqPR6ZwhbhU+/fvJxAIcO+9955x3+23307//v15++23HYgsun2zH/wByOscXdew/leY2ZdFSzQ//EF0/d+EIUmeaBC326JFtk3v3qb7xY6dZuo24AeXBbZtpm1PlEBJiSmzcuQQTLwaOnYA0CQkyEVEiEvRvXt33njjjdNu27JlC0899RRPPvkkPXv2dCiy6FZUt+kiykby4uIUw4eaXrbFxZos6WUbdSTJEw2WnGwStopyM5pXVmbaoCkXhPwQPNn8QmM2a6z0Q7Ufrp0I3buD260jvoioEE5KTU2loKDgrPf16tWL7t27N3NEseFUO7MoS/IARo1SzP5M88VSuOlGp6MRjU2SPNFgLpdF27Y2tm3anB09YkbufGdbBqSgvMwUSw74zejf2DEymieEiDw7iyApCVq1cjqSxjdogCl+v2iJ5qYb5focbSTJ+46NGzfyzDPPsGHDBgKBAHl5eUybNo3rr7/e6dDChteruOwyjScBykph9RpTH6/Cd/pxWkNImw0Zq9fC/v1QWQ0TxtmkpMj6PCEaS0FBAdu2bXM6jKi2swg6dyIqr1sej2LoYM2ixVBWpklLi77/YyyT3bUnrVy5kttuu401a9YwYcIEfvSjH1FSUsIvf/lLXnzxRafDCxtKKRISLNrlwqiRMGAg5OSYdXn1CQRg33547XV49a+wf7+WfrdCiIhQWqo5fjw6p2rrjBqlCNmwbLnTkYjGJiN5QDAY5F//9V9RSvHmm2/So0cPAB544AGmTJnCM888w8SJE+nQoYOzgYYRl8siL89GKdMRY+7nZvq2ugZC9tkfU1YGn80DXxVMnqTJ66yJj5f3GUKI8FW0y3zOy4veEa7B+eB2mynba66O3v9nLJJXWGDFihXs27eP66677lSCB5CcnMz9999PMBjkgw8+cDDC8BQfb+rojRkNk26E7t3MupVz8VXCypXwwYewfj1UVtoyqieECFt17cw6d3I2jqaUmKgoGGSW31RWyvU4mkiSB6xatQqA4cOHn3HfsGHDTjtGnM7jUWRlwahR8IMfwMD+50/0SstgRSH8Y5ZZr1dcLNO3QojwtHOnRino1NHpSJrWqFGKQAAKVzgdiWhMMl0L7NmzB4DLLrvsjPvS0tLIyMhg7969zRxVZDBr9BRut6b/FRpvAsTHw9LlUFlV/+NKymDd+pNdMwIwoJ8mMzM6FzYLISJX0S7IzTWbzqLZsCGmH/miJZpxV0b3/zWWSJIH+Hxma2hKSspZ709OTubw4cP1Pv58DcDDWWM2bbZtTUKCTWJSObUBm5WrTE/b+vh8sGUreBIgO8OiZctkUlLiGy2eSxWrDa3PR86LiBXBoGb3Hhg+zOlIml5KimJAf82KlVBTI+WuooUkeY3gXA3Aw1lTNG2uqbHJyoTxV5oRurVroNZ/9mNtG44fh7VrIeC3CQTKGTAA4uKcT5ijtaH1pYq18yIJbWzbt89UB+jcKTYSntGjFKtWa1athpEjnI5GNAbnX03DQHJyMgAVFRVnvd/n89U7yidO5/EokpOhbx+4/moYPw4yM+s/PhA0mzE2bYbP5sPu3RAI2Ni2rNETQjirbtNFXp6zcTSXEcPAsmDxErn+RgsZyYNTpVH27t1Lr169TruvrKyMkpISrrjiCgciizzfXaOXn6/JaQmJSfDFUigtMSVWvq+qynyUV0DQDxOvgq5dNcnJGo9HCicLIZwRze3MziYjQ9Gnt2bZcggENPHxcu2NdDKSBwwaNAiApUuXnnHfsmXLAMjPz2/WmCKdZSk8HouuXRS33QrXXwOXXQaJ3vofU1kJCxbB9LdMUc6DB6G6Wt5RCiGcsWMnpKRAyxynI2k+o0cpfJWwZp3TkYjGIEkeMGTIENq1a8cnn3zCli1bTt3u8/l4/vnniYuL4+abb3YwwsillCI722LKrTB1KvTvD5nnWeb01dfw97dg/gI4fBiZuhVCNDutNTt2QNcusbXrf9TJtXhLZMo2KkiSB8TFxfHkk0+itea2227jN7/5DX/84x+58cYb2bFjBw8++CAdO0Z5kaQm5nZbDMmHW38AAwdAYsK5jz90GGZ+BP/4BCp8crERQjSvY8dMTc8uMbIer06LFoqePcwSm2BQrr2RTpK8kwYPHsxbb73FgAEDmD17Nm+99Rbp6en853/+Jz/72c+cDi8qxMdbdOwAgwZCm7amjc65lFfAvM/hvRlQXGwTqq9fmhBCNLLtO83nrl1iZxSvzsgRitIyM6siIptsvPiOPn368MorrzgdRlRLTYUr+sGu3WZX7TnKDwJQVg4zP4SqChgzBtq1s0lKQnreCiGa1I4d5nOXLs7G4YSRI+CFl2DJF5or+sVekhtN5JVSNCvLsmjVyuKaiTB6FKSnnf8xZWUwbwF8OhtWrYa9e6G01Ma2ZWRPhKd162TVeqTbvkPj8UD7dk5H0vza5So6doAlS5GWkxFOkjzhiPbt4eYb4MbroCH1ZktKYcUqWL8edu6GI0egvLzp4xTiYtx2221cd911vP7665SWljodjrgIO3ZA507gcsXmSNbIEeY6u2On05GISyFJnnCEy2XRtq3FTTfBD26ByxrwbvnYcZi/CGbOhJWrzJSv3y+jeSL8DBo0iKKiIp5++mlGjhzJo48+ysqVK50OSzRQebnm8BGzszZWjRxhktslX8hIXiSTJE84Kjtbcd01MG0q9G9AvemqKtMd4/OFsKwQdu9Fpm1F2Jk+fTqfffYZ99xzD6mpqcyaNYu77rqLCRMm8PLLL3P8+HGnQxTnUNfpoksMbrqo07ULtGwJS75wOhJxKSTJE45SSpGRoRgyGKb8EIYNhgTP+R+3axcsXw4rVsChQ00fpxAXqn379vzyl79k8eLFPPPMMwwfPpxvvvmGP/3pT4wePZqHHnqIJUuWyJqnMLT95KaLWB7JU0oxYriZMdm/X35HI5UkecJxSilSUix69YQbb4D8QZDVgHV63+w3JVbmzYODh2yCQRnRE+HH5XIxfvx4Xn75ZRYsWMCDDz5ITk4O8+bN47777mPs2LE899xzHDt2zOlQxUk7dmhcFnSK8fKoI4efnLI9sxmUiBCS5ImwkZKi6NEDfjgZrrka2rY+/2P27IWZH8OMD2D3HqipsWVkRIStVq1a0b9/f3r16oXWGq01hw4d4plnnuHKK6/kj3/8I4FAwOkwY962HaYNo8cTu9O1AH16Q1oqfLFUrqmRSurkibChlCItDbp00bRoAd4EmDUHDhw89+OKi01nDH8t3HgjtG2j8Xpj++IswsvRo0eZMWMGM2bM4MCBA2it6datG7feeitDhgxhzpw5/P3vf+e1114jFArxxBNPOB1yzKqs1OzdC1dPdDoS58XFKYYN08yeA8XFmqwsua5GGknyRFhRSpGUpPB6Nddeq8GCD2bC8eJzP666GmbPBZcFV10FeXk2brcMVAvn2LbNokWLeO+99/jiiy8IBoMkJCRw0003MWXKFPr27Xvq2J/+9Kfccccd3HTTTcyaNUuSPAdt2QpaQ4/uktCAmbL9dLbmi2Vw0w1ORyMulCR5IixZliIzE26+UWNZ8N57UFxy7sfU1MBnn0O5DyZPgk6dbDweFVPNxUV4+POf/8wHH3zAsWPH0FqTl5fHD3/4Q26++WZSUlLO+pjk5GQGDhzIRx991MzRiu/astV87tnd2TjCxaCBZlZlyReam26Qa2mkkSRPhC2zIUNxy802oSB82oCp2wqfaaxdUw23/hDy8jRJSXJhEs3rxRdfxO12c+211zJlyhQGDhzYoMfl5+fLmxKHbd5sOl10jPFNF3U8HkVBvmbpcvD5NMnJ8vsZSSTJE2HP67UYP86m1g+fzYUjR899fHUNLFkGxaUwbgxcOdYmI0NG9ETz+ed//mcmTZpERkPauXzHpEmTmDRpUhNFJc5Ha83mLXB5V7MeTRgjRygWLdEUroTxVzodjbgQsmhJRIRWrWDUSBg2FFLPPtt1hk2b4P0P4KOP4fhxLbtuRbPp06dPg9qZ7dmzh9WrVzdDRKIhjhyF4hPQQ6ZqTzNkMLhc0v0iEkmSJyKCZVnkdYbrr4XRoxqe6B04CB9/DAsWSKInms/UqVN5+eWXz3vcK6+8wtSpUxv8vHPmzGHKlCkUFBTQu3dvJkyYwHPPPYff77+UcMVJm7eYzz16yCjed6WkKPpfAStWQm2tXEMjiUzXiojhcll06QJ33m6TlWUSt73fnP9xR4/DnLmQkARD8k15Fpm6FU2prgZeQ467EKWlpQwePJh77rmHlJQUNm7cyLPPPsuRI0f4/e9/f7HhipO2bDE/DxnJO9PIEYrVazRr1poZFREZJMkTEadlS5gw3kwfzPkM9h84/2N2FMGsWRDww/ChmpYtJdETzjt69CiJiYkNPn7KlCmnfT148GAqKyt54403+O1vf4tlyeTMpdi8BTIzoGWO05GEnxHD4E//F5Ys1QwbKtfOSCFJnog4lmXRtq3m+mtN66Fly+DrLed/3OYtUFsLChhcoGndWsuLomg0H9Za/VEAACAASURBVH744Wlf79u374zb6gSDQXbv3k1hYeFp9fIuRnp6OsFgUJYiXKJgULNtOwwcIG8AzyY7W9Gzh2bZMgiFNC6XnKNIIEmeiEhKKbKyFBMn2GRlgzcRVq89/+OKdsE770FVDUwcDy1aNH2sIjY89thjp5IDpRTr1q1j3bp19R6vtcbj8fDAAw9c8PcKhUL4/X42bdrE9OnTue2223C5XBcdu4AdO02tzZ6yHq9eI4YrXvyL5quvod+lvTcRzUSSPBHRsrKgYBCkJIFtw9r153/MwUPw8l/gyCG4a5pNejrExcmInrg0DzzwAEoptNY899xzdO/enSuvPHu9ifj4eHJychg2bBg5ORc+N9ivX79Tmy1uvvlmfv3rX19S7ALWbzCfr+jnbBzhbOQIePEvZpdtv76SDEcCpWWM/5KVlJynFUOYysjIiNjYv8/ns9m6Dd59HwpXmLZEDTE4H6bdCbm5kJbGqenbaDo3jSnWzsuF1rmrM3bsWCZOnMivfvWrRo7I2LRpE9XV1WzZsoXnn3+e0aNH89RTT531WNu2ZVlCA/zswXJWrwlQ+EUm8fGSwNTnhptLqanRfPZpukxrRwAZyRNRISlJ0aO7ZtKNJsFbtw5qG1BVYsUqsIFJN0CPHpCZ2eShihiwYMGCJn3+nj17AjBw4EDatGnD/fffz+23306vXr3OOLasrKze54m1pL0+waBmzVpN717g852/vuGliPRzPnSIzfQ3Ye26Ejp3iowkL9LPeX0a8iZU3t6JqKCUIjHRYsAA+MEkKMiHjPSGPXbVKnhvBmz4Evx+u2kDFaKR1SV8e/fudTiSyLVjJ1RVwRX9IiNpcVLdztqlyxwORDSIjOSJqBIfbzFwoI3HY6ZgP50NpfUPZJyydr1Z05eUBP362ti2rGIQDff444+jlOIXv/gF2dnZPP744w1+rFKKf//3f7/o7123uSM3N/einyPWyXq8huvR3ZSZWbpcM+1OSYrDnSR5IupYlkWvXjYZmZDggfdnQLnv/I/b8CUkeQENBQU2NTU2Ho/0vBXnN3PmTJRS/OQnPyE7O5uZM2c2+LEXkuTdc889DB06lLy8POLi4ti4cSOvvvoqw4YNu+RSLLFs/QaNNwG6Xe50JOHPshTDhmo+nmW6CGVny/UxnEmSJ6KSy2XRvh3ceINNYjK8+XcoOc+IngY2fA3eZGjZqvxk6zRNQoJcxMS5vfHGGwC0adPmtK8bW+/evfnwww/Zv38/lmWRm5vLz372M+64444m+X6xIBjUfLkReveGuDj5W2+IYcMUH8/SLCuEG693OhpxLpLkiaiWmam44VpNagq88w4U7T738T4fLFsOAb/NVVdBrx7gdmssSy7+on75+fnn/LqxPPzwwzz88MNN8tyxStbjXbiB/cHjgWXLNDdeL+ctnMnGCxHV6jZkjBsLD/3cXJzOp6oKvvoa3n/fJHw1NbI+T4hotXKV+dz/CmfjiCQJCYpBA2HNWqiqkutjOJORPBET3G6L/ldoEhM1rr/CuvUQCNR/fPEJOHECjhw1Sd/YMTZZWUi9MdEg1dXVlJSUkJ6eflpv2oqKCv7yl7+wfft22rRpw9133027du0cjFQUrtCkp0P3bk5HElmGD1MsXaZZvRZGjXA6GlEfecUSMUMpRbfLFZNugiv6gNt97uM1cOAgzPzI7NItLm6WMEUUeOGFF7jyyispKio6dZvf7+fWW2/llVdeYfHixbz99ttMmTKF48ePOxhpbCsp1WzeAkMKkCUZF2joYFDKTNmK8CVJnogpSplphuuuNTvp4hswlr3/AHz4McydB8XFNoGAlFgR51ZYWEhubi69e/c+ddsnn3zCrl27KCgo4NVXX2XatGkUFxfz2muvORdojFux0hRPHzpEErwLlZmp6NkDlhdCKCTXw3AlSZ6IOW63xahRcPuPYNw4aNv6/I85dgzeeRemvwkbv4bSUk1NjY10BRRnc+jQITp06HDabZ9//jmWZfH0008zbNgwHn/8cTp27MjixYudCVJQuELjcsGggU5HEpmGDVWUlsHXm5yORNTngtbkHTx48JK+WV15ASGc5nJZ9Otr43FDi0z4ohD27oFzDdCdKIXP5sGRw3Dd9XBZO8jK0ni9MgogTldWVkZqauppt61fv56uXbvSqlWrU7ddfvnlLF26tLnDE5jSKStXQb++kJwsf8MXY8RweOllWLZc07ePnMNwdEFJ3tixYy+6MKxSis2bN1/UY4VoComJip49zaLrpBRYuRq+2giBYP2P8VXAl1+b48eONlM9bdrYuFwyKC6+1aJFC44ePXrq6x07dlBSUsJ111132nFSaNs5G7+CykoYMlh+BhfrsvaQ29a0OLv/p05HI87mgpK8QYMGNVUcQjQ7pRRer6JjR5vEREhOATsIX2+GYD2JngbKy+HLjZCcCMEQpKXB9wZtRIzr3r07ixcvZsuWLXTv3p3XXnsNpRRjxow57bi9e/eSk5PjUJSxbVmhGbYfOtjhQCKYUophwzTvvAv79mnat5eEOdxcUJI3ffr0popDCMe4XBatW2uGD9GkJEJcnEnizjWid+wYrFgFFT5IT4UePWzi4mQ0Txj33nsvCxcu5JZbbiElJYWysjK6d+/O4MHfZhTFxcVs3bqVa6+91sFIY5NtaxYugg4dkMTkEg0fqnjnXc3yFdC+vdPRiO9r9Fcln8+Hz9eARqFChBGlFJmZivx8uO1HMGQIeM5RYiUYNOVV1q6Dj/4BRbuQTRjilL59+/L8888zYMAAsrOzueGGG3jhhRdOq7P48ccfk5SUxIgRUmSsuW3aDEePwpVjJMG7VL17QVISrFgp179w1CjFkBcuXMibb77J+vXrqaqqAsDr9dK/f39uu+02xo4d2xjfRogmpZQiOVkxoL9NeoZFnMvmq01m1O5stIbjxbBgIdQG4a47NB06aBnREwCMHj2a0aNH13v/XXfdxV133dVs8YhvzV9oEpIrx5znQHFecXGKQQM0S5eb7heJiZI4h5NLSvK01vzLv/wLM2fOPDWKkZqaitaaiooKli5dyrJly7jxxht56qmnZJGxiAgul8WAK1Lw15SRkwOr18DBg1Bdc/bjAyFYtAj8tXDXndChg43Xq+T3XYgwFAqZqdq8zjJV21gGFygWLdGsXWd23IrwcUlJ3uuvv84HH3xATk4O999/P9dddx3JycmAmbb95JNPeP755/noo4/o1q2bvGsVESMuLo6ePRWtW2t694LFi2H9l3DsHM0JlheCC7jhBujWzezalURPBINBSktL8fv99R4j5aWaz8avTPeayZPkb7OxDC4wn1es1IwYLuc1nFxSkvfuu+/i9Xp58803z+i/mJyczJQpUxg2bBg33HAD7777riR5IqIopcjKUgwcYJOcBOUVcKIEQqH6H/NFIVTXwqiRMGqkJjNTLnixavny5bzwwgts2LCBYH3btZHyUs2tbqp2rEzVNprsbEVeZ03hSjPDJ29uw8clJXn79+9n2LBh52yw3a5dOwYPHsyyZcsu5VsJ4ZjEREXXrprRo8207b795z5+41dQWmbKq0y8ypRnkTp6sWXhwoU8+OCDhEIh0tLSyM3NJTEx0emwYl4goFm0CLp3g7ZtJBFpTEMGm45Au/dAp45ORyPqXFKSl5mZSXx8/HmPi4+PJyMj41K+lRCOUUqRkqIoGGRz8CD8/S2w7fqP9wdgZxHMmAFxLhg0CLKzbDweWacXK5599lls2+aJJ57g9ttvx+VyOR2SAApXmDdgP54mf4eNbXCBYvqbmhUrJckLJ5c0vDBu3DhWrlxJWVlZvceUlpaycuVKxo0bdynfSgjHZWXBTTfAiGENO/7QEZg33zRBP3YMamqkxECs2LlzJ/369WPq1KmS4IWR2XM0cXEw7kqnI4k+PXtAcrKUUgk3l5TkPfzww+Tm5jJt2jQKCwvPuL+wsJC7776b3NxcHnnkkUv5VkI4zrIscnIsHrwfJo6HhIRzHx8KwTffwMJFsHqtKbdin6s5rogaiYmJZGdnOx2G+I6SUlOwd9hQSEuTkbzGFhenyB9kCslXVsp1Llxc0HTt1KlTz7gtPj6eTZs2cffdd5OWlnZql9ihQ4coLS0FTGHQBx54gNdff70RQhbCWa1aKX72U03nTjBnLhTtrv9Ynw927jTlV/x+uHKMJitLn1YUV0SfoUOHsn79emzblp91mJj3uXnjdfVESfCayuB8xYKFmjVrzeYz4bwLSvJWrVpV731aa0pLS08ldt+1YcMGWYskoobpjgHXXqtp0QI+mQ2bvja7ar8vEDQfu3bBJ7NAAcOHQdu2zR62aEa//OUvmTx5Mk8//TS//vWvZco2DMz5zJQ1GpzvdCTRq+DkuV2xUjNqpLzmh4MLSvLmz5/fVHEIEVGUUqSmKgYPtknLgPnzzZTskSNnPz4YhL37YPZncOgw3HiDTft2sus2Ws2YMYORI0cyffp0Fi1aRH5+Pq1atTrrsUopHnjggWaOMLbsLNJs3wE/nGymFUXTyMpSXN7VbL6QUirh4YKSvLYy/CDEaZKSFL16aHKyoXUrM327fz/UrUhxWRA6uRNXazh2FNasM+v5JoyHDh3kQhiNnn32WZRSaK3Zt28f+/btq/dYSfKa3uw55i/ymqvlb62pDS6A16ebft55nZ2ORjRK71ohYpVSCq9X0a6dZvJkjdcLH3xoCidXVZ5ZaqXGbxqjr1ptpm6vuVrTrp288ESbp556yukQxEnBoOazedC1C+R1lr+1pjZksOL16ZrCFZLkhQNJ8oDHHnuMmTNnnvW+jh07MmfOnGaOSEQay1IkJSpGDLfZtQvWbzC9bGu+t04vGITaWti3D3zl4KuEEcNtevWExESZuo0WN998s9MhiJNWrITSUph2pyR4zaF7N0hNNevy7rxdzrnTJMn7jqlTp5KamnrabVLEWVyIli1h4kST3H29GQ4fPv3+UAji40EpqKiCTZshEIATJ2BwgU1qKrIbU4hG9OnJ2njjpTZes3C5FIMGahYtBp9Pk5wsiZ6TJMn7jmnTppGbm+t0GCKCWZZFzx42lgUtc6BwpamVF7LNmjy0SfBsG0JBOH4MPG4zuqfioE8PaNlSY1lyYYwGwWCQRYsW8dVXX1FSUkKfPn2YPHkyAEeOHKGkpIS8vDzi4uRS3BRKSjXLlpsd7enp8jfVXAbnK+Yv0KxdD6NGOB1NbJMrixCNLD7eomsXMyrXNhfmfw47dkJIm1E7MImeZYFyQWUl7NljbveVwxV9Na1aabxeaYMWyVatWsWvfvUrjhw5cmqnYSAQOJXkFRYW8vjjj/PnP/+ZCRMmOBxtdJLaeM4YNMh8XrlKM2qEnHsnSZL3HYsXL6ayshK3283ll19Ofn6+1LcSF8XjUbTM0QwaAPbJWnkHDpjkDiAuDlwucMeZUTwrDsrKYds2SPCYkb7cXE1CglwgI9G2bdu49957CYVCTJ06lf79+/NP//RPpx0zYcIEfve73zF37twGJ3mzZ8/mH//4B5s2baKiooL27dtz5513csstt8gbgrOYPUeTkSG18ZpbdpYir7Nm5SoppeI0SfK+4/e///1pX3fo0IH/+q//omfPng5FJCJV3a5bj0czYYImKRkWLobdu0/uugUsBf4AoCD5ZJJXWgrV1aZThlJw2WU2cXGyRi/SPPfcc/j9fl599VWGDBly1mO8Xi+dO3dm8+bNDX7e1157jbZt2/LYY4+RkZHB8uXL+c1vfsORI0ekDMv37Nih2bETbv2h1MZzQkE+vPm22WR22WVORxO7JMkDBg0axNixY+nTpw8ZGRns37+fd955h7///e/cfffd/OMf/6Bly5b1Pj4tLS1iF8vLxpL6Nea5uenGANnZFSxfodm2FcrLTTkV24Y4C7CgvAzcHjh4yIz8eTzQuk0iLVp4Gy2OxiC/M+e3evVq+vbtW2+CV6dNmzYsW7aswc/7wgsvkJmZeerrIUOGUFpayuuvvy5J3vfM/szUxrt6giR4TijIV7z5thnNkyTPOVGT5BUUFJy1pVp93njjDQoKCgC45ZZbTruvc+fOPPHEE3i9Xl588UVee+01fv3rX9f7XGVlZRcXtMMyMjIoKSlxOoyw1BTnptvlGpcFOS3MZoy9+0xiV11l1uVZyiR2lZVQUwN2CBKSqhiaX0VKSnisz4u135mLTWh9Pt853xjW8fv92N8vpngO303w6nTv3p333nsPv9+P2+2+oDijVSCgmTsPunaV2nhO6d0LvF5YsUrzwx/Iz8ApUZPkXXfddVRWVjb4+Ozs7PMeM3nyZF588UXWr19/KaEJAUBCgiIvT5OcAhnp5raiXWZqVmtzQQwFTfkVS8Gx47BhHWRnQueOpu9mOCR64vxatGhBUVHReY/bvn07bdq0uaTvtXbtWtq3by8J3nesWAmlZXDXNPl7cUp8vGJgf83K1VBbq/F45GfhhKhJ8n7zm980+nPWvYuvrq5u9OcWsUcpRWKiosNlmjZtNB07wtKlsGIVFB8HrUypFa/HTNtqbdboHT4ISV6Ij5eaU5Fi+PDhvPfee8ybN4/x48ef9ZgPPviAgwcPcvfdd1/091mzZg2ffvrpOWcaYtGns6U2XjjIz1d8sUyzfoNpdyaaX9QkeU3hyy+/BKRnr2hclqVI8Cg6drCpqoKdRWY0z9amrIrbZdbkhWyorYE9e80OXBS0y7VJSgqPqVtRv/vuu49Zs2bxi1/8gnvuuYcrrzTZRk1NDdu3b+fzzz/npZdeIj09nR//+McX9T0OHz7MI488QkFBAVOnTq33uPOtGY62NZbFxTaFK0sYM9pNhw4pTodzVtF2zuszflyIP/3fUr78ysPVE5McjSVWzvn3xXySd+zYMaqrq2nfvv1ptx85coQnn3wSMFPBQjQ2y7Lo3NmmXz+oqoaSEtCY6dpgyJRZ8Xjh2AkoLYfqGqj0wWWXabKzZeo2nLVt25aXXnqJhx9+mBdffJGXXnoJpRRz5sxhzpw5aK3JzMzk2WefpUWLFhf8/OXl5fzkJz8hPT2dZ5555pxJ3LnWDEfjGsv3Z2iCQRg3NhCW/7doPOf1SU6Cdu1gyZIa7vtffsfiiNZz3pDENeaTvF27djFt2jQGDBhAp06dSEtL48CBAyxatIiqqipuvvlmrr76aqfDFFEqwaMYcIXGtmHzFigpBp8FaEhIMBsxlAZ/DWzdDmWlcPAg9Ounyc3VEburOxYMHDiQOXPm8P7771NYWMiBAwcIhUK0atWKIUOGMGXKlDPaKDZETU0N9913HxUVFbzzzjukpITnaJVTPp2jycwwJTyE8wry4f0ZcOiQpnVreWPa3GI+yWvfvj2TJ09m48aNfPbZZ1RWVpKcnMwVV1zB5MmTueaaa5wOUUQxy1Lk5GgG9Ie0VFMM+ZsD4LIg3mNq5QWDoICaajhWAhWVUFkNw4ZCu1wpNBrOkpOTueuuu7jrrrsa5fmCwSAPP/wwu3bt4s0332zQDt5YsmOHZmcRTJHaeGGjIF/x/gyzAeOmG5yOJvbEfJLXunXrU9OyQjjB61W0aa1JTYEWLeDrzaanLdpM0dq2WbMXCpr6etWWaY8WHwdxcZqWORqXS0b0YsHvfvc7Fi5cyGOPPYbP52PDhg2n7uvRo0fM77D9dM7J2njSxixsXNEX3PGwarXmphvk59LcYj7JE8JpSikSEhRutymTkpam+WoTVFbA4SNwouTkaJ4yI3yJyaYf5669kJwCvXpAdraNxyMbMsLFunXrWLlyJUVFRZSXl6OUIi0tjby8PAoKCujbt+9FPW9d4eSnn376jPvmz59Pbm7uJcUdyQIBzbzP4fKu0LmT/B2Ei4QERd++mjVrIRjUMsLazCTJEyJMWJbCsuCy9ppAALZug+B+8Nea+z0eSEkxPW9ra8w6vcOHwZsAlVXQto2UWHHa1q1beeKJJ9iyZQtg+nZ+V10S3qdPH/7whz+Ql5d3Qc+/YMGCxgk0ChWuMLXxfiy18cJOQb5i9RrN15ug38W9vxEXSZI8IcKMy2XRJc8mJdmUVKmuNTtv3R6T6Pl8pktGqtv8++AR0w+3qgq6drFJTJQRPSds3LiRadOmUV1djdfrZeTIkXTv3p2MjAy01pSUlLBlyxa++OILvvzyS2699VamT59Ojx49nA49Knw6RxMfD+OkNl7YKciHZ5+Hlas0/frKtak5SZInRBiyLItWrTQFgzQJCbBpsymfEgyBPwjeRIhzmYLJSkPQhiNHIC0D2rTUJCTIhbQ5hUIh/vmf/5nq6momT57MY489RnJy8lmP9fl8PPXUU8yYMYNHH32UWbNmyS7pS3TihKawEEaMgLQ0+d0PNx0uM+0cV66C+37idDSxRa4sQoQpy1KkpkKPbtC3n6k3leiBxIRvy6ukZ5hduZYyU7iVvpN9b219/m8gGs38+fPZu3cv11xzDU8++WS9CR6YHbd/+MMfmDhxInv27JEp2EYwb74pHn6NbLgIS0opCvJh+w6TkIvmI0meEGHM41FkZkL3LtCjO3ToBK1aQ2oKZGWbvrYA5T4ztVvpgwofhCTJa1YLFy7EsiweeeSRBj/m0UcfBUyCKC6e1ppPZ5vaePmDnI5G1Kcg3yTgq9Y4HEiMkelaIcKYUgqvV+HxaNIzNO1y4chR2LvHlFYJ+KHWb8qpZGSYHbi1Neb2ePnrbjZff/01HTt2pF27dg1+TLt27ejUqRObNm1qwsii346dULQLfnSr1MYLZwP6m+oAK1dpJl4lP6fmIiN5QkQA0+/WIi0NWreC3HbgSTB19FwuyM4yU7gJCZCYaKZsg0Hb6bBjxrFjx+jQocMFP65Dhw4cPXq08QOKIadq402QxCGcpaQoevaE1atlOUlzkvf6QkQQj0cBmjatAWWKjLo9poyKK96UWAFTNFkp8Hhs4t3gshSWJS+CTcXn811Ue7Hk5GR8Pl8TRBQbAgHNvHnQ7XLoJLXxwl7+IMXGrzTbt0O3bk5HExtkJE+ICGIKJ1tkZ0PnjtC5M7RqBTk5ZjTP7TbTuG431NbC0aOmlt7x45qKCptQSEb3mkIwGLyosjWWZREKhZogotiwvBDKyuGaqyXBiwSDT/YTXrHK2ThiiYzkCRGBXC6L1FSIi7OprDxZILnWdMJQypRWqaoyI3qV1Wb3rcsyyWDLljYJCVJLT0S+U7XxxjodiWiIrl0hPc2sy7trqlx/moMkeUJEMK9XYVmaqiqT5Hk8EB9viiT7Ks2avapKs1avOgi1+8HW0LqVxuuVi2xj+vDDD/nwww+dDiNmnDihWbECRo6E1FT5XY4ElqXIH6T5fAGUV2hSU+Tn1tRkulaICFY3fZuaCmlp4PWaJK+6xozq+f1gucztyUmmB25ZmfmQxc+NS2t9UR/i4syZa2rjyYaLyFKQr7BtWLvW6Uhig4zkCREF4uIsvF6b6mqT3Gnb9LwN+M1uW62h5uR9tbVQWgoZmRqPW14gG8PWrVudDiGmaK35ZJamRbbUxos0dT+vVas1Y0bL9aepyUieEFHC41F4vWZ9nstlRjmUBRqzPi8YMhsy4uNMbb3aGqcjFuLibPwK9n0D114jtfEiTUaGomtX0+JMRrKbniR5QkSJb6duFW3amF6RcfFm1C4QMB0xPG4znVs3dev32zJtKyLOx7M0SsG1sqs2IhXkw9FjsHuP05FEP0nyhIgylqVITla0bQu5bcymi7g4SPRCYpL58CRAZaXZfVterikvt6mVhE9EgIoKzcJFMGggtG4tSV4kGnyyxdlKKaXS5GRNnhBRqK4dWvv2Ngle0wHD5TLFk1FmQ4bLZWrqFReDrxoSPZCWpklJ0VJiRYStefPNutLrrpXfz0jVs4dZK7xipeZHt8rPsSnJSJ4QUSw+3iIr09SmSk2BpCSwT9bSc1mmzEowCJ44synD5zPTu7W1MqInwo/Wmo8/0aSnwfChTkcjLlZcnCJ/EHy5EXw+udY0JUnyhIhyHo8iKclM2foDZvQu0Wt23AYDpm5eKGTKrvgDZpNGdbWUWBHhZ9t22LETJk4At+wMj2gjhimCQVix0ulIopskeUJEuboNGcnJirQ0SE39dvetP2A2ZYRsM5Ub54LqWqisMsmgEOHk40/MGw+Zqo18Qwab2YQvlsmbyaYkSZ4QMcKyFO54i4QEM4pn22ZtXihk2p653Sb5U3UjfDKSJ8JIRYVm7jzo2wc6XCZJXqRLTVX07WtG8gIBudY0FUnyhIgxddO3HrdZjxcMmq4YSkF5hamnV1Nj1ufV1NhSy0qEhU/nmCUFP7hFErxoMXyYorISNnzpdCTRS5I8IWJM3fRtdjbktjWbMizLrMVTQFKimdK1LLM2r7paEwxqGdkTjgmFNDNmanJyYPgwp6MRjWXEyZ/lF0vl2tJUJMkTIkbFx1tkZmI+MiAjA9IzwJtoauvFx5tSFceOQ0mJxufTVFfLyJ5ofoUr4eBBmHSTkg4XUaR1a0XnzrB0mXS/aCqS5AkRw+qmbuPjzdq8+DjwJpj1eWVlUFIKFeWmDVpNDVRWaimvIprd+zM0bjdcf63TkYjGNmKY6X6xbbvTkUQnSfKEiGF1U7cpKWaK1uuFhARFTQ1UVADaFC1Fm/VQgYCN3y+bMkTz2bpNs2YtTBgPaWkyihdthg8zP9Olssu2SUiSJ4QgLs4iMdHsuvX7tUnoQma3rdamzEp1NRSX2JSVQSAoF2TRPKa/qbEsuP1HkuBFo8u7mj7bXyxzOpLoJEmeEAIwU7de77dJnTseNKZYstZm921Zmab4BJSckJ23ount2q1ZvATGjYXcXEnyopFSiuHDoKgIDh6S60ljkyRPCAGcPnWbngbJSSa5Q5uyKj4fuCxFaoopu1JZKe3PnLB3717+7d/+jeuvv57u3btz5513Oh1Sk5n+pvn9uvMOSfCi2aiR5ue7cJGzcUQjyxG55gAAIABJREFUSfKEEKepm7qNizNFkgEqfCbhy8xUJCeDsszInqzPa347duxg8eLFdOrUifbt2zsdTpPZ941m/gIYPRI6dpAkL5r162t2+M9fKNeSxiZJnhDiDB6PSeYSk8y6PG8CtGgBaakubNu0I6rbkSvtz5rX2LFjWbx4Mf/93/9N586dnQ6nyfzlFY3WMG2qJHjRzuVSjB4F27fD/v2S6DUmSfKEEGdQSpGYaJGZAcnJ5sMdb3rchmxTYkVrkwBachVpVlYMnPBNmzWLFsNV46BLniR5sWDsGPNzXrDI2TiiTfRfLYQQF83rVaSmQoIHqmtNj8kEj0nuQiGT7Fkn53RtWzpjiEunteaFlzTx8fC/7pYEL1b06Q3Z2TJl29gkyRNC1KtuM0ZWFuRkQ0qywjq5Hs/rNdO6Wmtqamx8Pk1FhemMITtvxcVaXmh6mU66yXREELHBshRjRpldtnv3yrWjscQ5HYAQIvy5XBbJyZCWZhEKmUSvbgSvpsamutqM7rndZoSvuhpAk5AgL9JOS0tLO+cUb0ZGRjNGc241NZpnny8lNRV+/kA6GRnROQ4RTuc8nNx0Y4D3ZpTzxbIE+vVLbNTnjtVzLkmeEKLBLOv03qG2rfH7TYJXd3tcHIC53e3Wp5JB4YyysrJ678vIyKCkpKQZozm3l1+1+WY//OqXCigjjEJrNOF2zsNJ+3aa3Fz48KNqbptS02jXjmg95w1JXKPzbZIQolnYthm5c7lOv10p0+82GJJpF9Ewe/dq3nwbevWE665xOhrhBKUU10xUHD4C69Y7HU10kCRPCHHRLOvbTRjAyfV5mrIyqK6CqkrpjCHOz7Y1//lfGm3/v/buPLyma33g+HefRCKRiKTEECVNSFBTEkmQlJqKGlqluIaipVxz219JW+OtXkrRR+htKq2ilMZQqopWlQZBzBRBSEhrqCCzDGf//jj3nCtyQuaTc/J+nqdPZe3p3Sv77PNm7bXWhnfeUqT1twLr9oLuvrL9J7lnlAR5XCuEKDKNRsHGRjX0wcvKgpRU3TKHKrqbtfTPK1np6ens3bsXgFu3bpGens6OHTsACAgIwMXFxZThFUnERt1giyGDZMqUis7VVaGVn8pv++DtFBUHB7keikOSPCFEsdjaKoBKRgakpela9uztwNZW9/hF+ueVrDt37jBp0qRcZfqfV61aRWBgoCnCKrKrcSphX6h4esDrw+X6ENCju8LhIyq798BLvUwdjXmTJE8IUSy6aVYUNBot2dm65M7K6n9f1lZW+tefycTJJaFu3bpcuHDB1GGUiKwslY/mquRoYdp7CjY2kuQJCA4CR0fY8oNK7576PxZFUcgtVwhRIqytFcObMB6mH5ghCZ541BfhKufOwxsjFBo2lC9yoWNrq9Crh+41Z2fOmjoa8ya3XSFEidD1z9MlddnZKqqqewPGo2/GEALgwEGVb9dDKz8Y/A9TRyPKmz4v6ebj3LBJBmAUhyR5QogSY2urYGen+3dmpu7/+jdjCKF365bKnLkqT7nAjA+UXI/3hQDd206C2sJve+H2bUn0ikqSPCFEidG/Bs3BQcHRUcHBQfez9KkRetnZKrM+VElOhhnTFFxc5NoQxr3aVyEnB77fKkleUUmSJ4Qocfo3Y8gjWvGosOUqp07D8NfAz1euD5E/n5bg8Qxs2QppaZLoFYUkeUIIIcrEL7t1/fAC/GH4a5LgicdTFIUhgxTu3YeNm00djXmSJE8IIUSpu3hJZe58ldq1YdZ06YcnCqZTR3B3h7XrVFJSpDWvsCwyyTty5Agff/wxQ4cOxc/PD29vb0JCQh67jVar5ZtvvqFXr140b96c1q1bM2nSJK5evVo2QQshhIW6f1/l/em6L+h/f6hQtaokeKJgrKwU3hiukJwM6yMkySssi0zyNm7cyFdffcXp06dxdXUt0DYzZ87kww8/RKvVMmTIENq3b8+vv/5Kv379uHTpUilHLIQQliknRzfQ4q+/IGSKIq8tE4XWvh00bADrI+DuPUn0CsMik7zBgwezbds2jh49yty5c5+4flRUFN999x2tWrVi8+bNTJkyhY8//pgvvviClJQUZs2aVfpBCyGEBQoLVzkSDQP7Q5dOkuCJwtNoFEaPUkhLg9ClkuQVhkUmec2aNaNhw4ZYWVkVaP2IiAgAJk+ejI2NjaG8TZs2BAcHc+TIEa5cuVIqsQohhKXa/pPK2m/BzxfGvCkJnii61oEKXTrDrl90E2mLgrHIJK+wDh06hL29Pb6+vnmWBQcHA7p+fkIIIQrmxEmV+QtVnn4aPpylm1JHiOKYOF6hmhMsWKiSmiqJXkFU+CQvLS2N27dvU7duXaMtf+7u7gAyAEMIIQro+nXdQAt7e5g/VwZaiJLhXE1h4gSF23/DnLkqOTmS6D2JtakDMLXk5GQAHBwcjC7Xl6ekpOS7DycnJzRm+vZ1Z2dnU4dQbkndGCf1Ih4nKUllynsqaWmw+BOFp+tKgidKTpdOcOIkbP0BPgtTmTBWrq/HKbdJXmBgIPfu3Svw+qtWrSIwMLAUI8rf/fv3TXLc4nJ2dubu3bumDqNckroxrqLViyS0hZORoUvw4q/Be1MVfFrKF7AoWYqi8PYkuHFDZf13ULOGSv9X5TrLT7lN8nr27ElqamqB169evXqRjuPo6Ajk31KnL8+vpU8IIYTunbTTZ6mcOQtvjlTo0V2+eEXpsLZW+HAWjJ+ksmSZSuJdlZGvS79PY8ptkjd9+vQyOY69vT01atTg+vXr5OTk5OmXp++Lp++bJ4QQIrfsbJV/faRyMApe7QtDB5s6ImHpqlRRWLIY3pum8s1aOHpMZdp7UL++JHoPM8+OZCUsICCAtLQ0jh07lmdZZGQkAP7+/mUdlhBClHvZ2brJjn/dAy92hwnjFBRFvmhF6XN0VPh0ocKbIxViLsKwN1Rmz9Fy5qyKqsqgDJAkD4D+/fsD8Omnn5KZmWkoP3jwIJGRkfj7+/PMM8+YKjwhhCiXHjxQmT5T5be90PNFCHlXQaORBE+UHWtrhdeGKCz/XCEwAH7ZDWPGqfQdoPLxJ1p27FK5eDGb7OyKmfQpqgWmu9HR0WzYsAGAxMRE9u7dS7169fDz8wPAw8ODN998M9c206ZNIyIiggYNGtC+fXvu3LnD9u3bsbW1Zd26dTRo0CDf45lrR/SK1om+MKRujKto9WIJAy8e9/sqzu/z3j2Vqe+rnP0DXu4Nb0+WBK8gKtpnqKwlJKj8+JNK1CGIufi/chsbaOAJTRpD40YKjRtB3bqY9TVbkPuTRSZ5mzZt4r333st3eUBAAKtXr85VptVqWbNmDevXrycuLg57e3sCAwN56623ntiKZ64fWLnZ5E/qxriKVi+S5Bl3IUZlxiyVhD9h9CiFIYOQR7QFVNE+Q6aUmKhy/gJcu16Zk6fSuRADN2/+b7mDg+5tLEFtFNq0Bmdn87qGK2ySV9bM9QMrN5v8Sd0YV97rRatV0WpBoymZv9AlyctNq1XZsFE3P5m1NUx5R+GFLub1xWhq5f0zZIkervPERJVz5+HceZXTZ+DkKcjOBkWB5s2g54sKz7cHO7vyf10X5P5UbkfXCiFEQamqyoMHKpmZkJMDVlZgY6NiayuDAErKH+dUFi9ROXcOPD1h9gwFdxnJKMyMi4tCUFsIaqu7dtPSVA4fgcgDKvt+h4/mqSxeAl06qfTrq/CMu3lf45LkCSHM3oMHKunp+uROl+ilpwOoVK5s3jdpU1JVleMnYMMm3RegTSUYNhReG6Jgayv1Ksyfvb2u5e759grpk3WDiLZtV9nyA2z5QaVta5V/DFRo2cI8uyRIkieEMGtara4Fz8oKw2So1tYAunIbG9WsO1eXpfh4lT//gjuJcOasSvRR+OsvsNJAp466SY7d6khdCstkZ6fQvRt076ZwOVbl2/UqP/8CB6JUGjfW/YET1Ma8kj1J8oQQZk2r1bXc2djkLreygsxMDH30xOPFxqq89nruLtqenvDaEHi5t4Krq/l8sQlRXJ4eCtPeU3jzDZXvNqhs2Qoh76s08IShQ+D5dmBlVf4/E5LkCSHMmkajS+hycvQteDr6vnmS4BVMvXrwwXsKVlbgXE033YS5jTYUoqS5uiqMH6swdLBKxEbdwKOZs1XqPa1L9rp0oly/Tk1G15YAcx0pJaO88id1Y1x5rZeMDK2hT54+4cvJATs7qFxZU+RRtzK6VpQ0qfOyV5J1npKisnkLrP9O5d59qF0LBg9SeLEb2NiUbbJXkPuT/I0rhDB7trYKdna6f+tfWmNnp3uEm5GhJSVFJTlZJSVFJSNDa9avPLp8+TIjRoygZcuWBAUFMX/+/Fxv6hFClB4HB4WhgxUi1ilMHKeQlQ2fLFLpP0hl5WqVGzfK171FHtcKIcyeoihUrqxgY5O7xe7hFj4bG8jKguRk3WANe/vy+4glP/fv32fYsGG4u7sTGhrKzZs3mTdvHhkZGcyYMcPU4QlRYdjZKfR/FV5+CbbvgDXfqiz/UmX5l9CsqUrbNgoB/uDpYdrHuZLkCSEshkajGPrgPTzq1soKHjzQtfI9+O9/oMXOzrzm0Vu3bh2pqaksXbqUatWqAZCTk8Ps2bMZPXo0NWvWNHGEQlQsNjYKL/eG3j3hxEnYsUtl/344fUYlbDlUqgTPuKvUdAVnF3jK5X8TLWs0ukmY9f9pFOjYEZyrldw9SZI8IYRFenjU7YMHkJ6hmwrErrLu57Q00GjMax69ffv2ERQUZEjwALp3787MmTPZv38/r7zyigmjE6Li0mgUfH3A10chJ0f3Vo3jJyDmosrly3DsBKSm6tfO/5Guxkqhz0slF5ckeUIIi6QfdZuVpWvBs9LoRt9mZ+v+ura2xuzm0YuNjaV///65yqpWrUqNGjWIjY01UVRCiIdZWSk0fRaaPgvwv3tLRoZK4l3ISNeleaoKqlb3b61WN9m4u3vJxiJJnhDCImk0uj56ycm6x7N2lXUJnn7UbaVK5jePXlJSElWrVs1T7uTkxP37941u4+TkhOYxJ2gJI4jNjdR52SsvdV67dtkeT5I8IYTFsrVV0GpVXT+8B7rEzs4ObG3Ndx49Y30IVVXNt29hfskfyHQepiB1XvYstc4LkrhKkieEsFiKovx3FK2WtDTdI9pKlXLPo2cuj2pB92jWWNKWXwufEKJikyRPCGHx7OwUNBrdaFv9iFtdi575JHgAHh4eefreJScnc/v2bTw8PEwUlRCivDKzBxVCCFF4unn0NDg4KDg6Kjg46H42p+lTANq1a8f+/ftJSkoylO3YsQMrKyuCgoJMGJkQojySJE8IUWFoNArW1opZPaJ92MCBA7G3t2fcuHFERkayceNG5s+fz4ABA2SOPCFEHpLkCSGEmXBycmLlypVYWVkxbtw4Fi5cSL9+/QgJCTF1aEKIckj65AkhhBnx9PTk66+/NnUYQggzIC15QgghhBAWSJI8IYQQQggLJEmeEEIIIYQFUlRVzf9NuUIIIYQQwixJS54QQgghhAWSJE8IIYQQwgJJkieEEEIIYYEkyRNCCCGEsEAyGbIQQliYuLg4vvzyS44fP86lS5do1aoVq1evfuJ2CQkJLFy4kMOHD5OamoqHhwdjxoyhS5cuZRC1+frpp5/YunUrZ8+eJTk5mXr16jF06FD69u372PcjZ2ZmsnjxYrZu3Upqaio+Pj5Mnz4dDw+PMozePBWlzmNjY/nmm2+IiooiISGBp556iueee45Jkybh4uJSxmdQNiTJq2BOnTpFaGgoJ06cICsriwYNGjBs2DB69epl6tBMqmPHjiQkJBhdNmDAAP71r3+VcURla8uWLRw9epQzZ84QExNDVlYWc+fO5ZVXXjG6fkpKCqGhoezatYvbt29To0YNXnjhBSZMmICDg0MZRy8edfHiRfbu3UvLli3JzMws0DaZmZmMHDkSgPfffx8nJye2bNnChAkTWLFiBW3atCnNkM3a119/jZubGyEhITg7O3PgwAGmT5/OzZs3GTduXL7bzZkzh+3btxMSEkLNmjX5/PPPGT58OD/++COOjo5leAbmpyh1fuDAAaKjoxkwYACNGjXizz//ZMmSJRw5coTvv/8eGxubMj6L0idTqFQghw4d4o033qBSpUr06NEDR0dHdu3axfXr13nrrbcYM2aMqUM0mY4dO5KUlMSwYcPyLGvatCkdOnQwQVRlR5/kOjs7Y29vT0JCQr5JXlpaGoMGDeLcuXMEBQXRpEkTzp8/z++//07jxo1Zu3Yt9vb2JjgLoafVatFodL1xxo4dS3Jy8hNb8k6cOMGAAQNYtWoVgYGBhv107tyZ4OBgi/9DpzgSExPztARNnz6dnTt3cvjwYaPb3Lhxg44dOzJr1iz69+8PwL179+jQoQNjx45l1KhRpR63OStKnd+9e5dq1arlauk7duwY//jHP1i2bBmdO3cu1ZhNQVryKojs7GymTZuGoiisWbOGJk2aADBu3DgGDhxIaGgo3bp1w93d3bSBmlDVqlWZMGGCqcMwiTlz5lC/fn3c3Nz44osvWLhwYb7rhoeHc+7cOUaOHMm7775rKF+yZAnLli0jPDyciRMnlkXYIh/6BK8wsrOzAXK1IGk0GqpUqYK0BTyesUd9jRs3JiIigszMTKMtRJGRkWi1Wrp162Yoq1atGkFBQezbt0+SvCcoSp07OzvnKdN/FyYmJpZ8kOWADLyoIKKiooiPj6dnz56GixrAwcGBsWPHkp2dzaZNm0wYoTCltm3b4ubm9sT1VFUlIiICe3v7PI9ERo8ejZOTExs2bJCkwAy1bNmShg0bsnjxYq5du0ZSUhKrV6/m6tWrvPrqq6YOz+wcPXqUevXq5fsIMDY2FldXV6pWrZqr3NPTk9jY2LII0eI8qc6NiY6OBnT1bomkJa+C0DdfBwcH51kWFBSUa52KKjMzk82bN3Pz5k2qVq2Kr68vjRo1MnVY5crVq1e5desWwcHBeR7J2tra0qpVK3bv3k1cXFyFbhU2R9bW1qxcuZLRo0cbHltVrlyZTz/9lObNm5s4OvMSHR3N9u3bmTp1ar7rJCUl5UnwQPdE4f79+6UZnkUqSJ0/6sGDB8yfP58mTZrg6+tbitGZjiR5FcTVq1cBqF+/fp5lTk5OODs7ExcXV8ZRlS+3b98mJCQkV9lzzz3H/PnzLXbkVWHpr5H8Ejj99SVJnvnJyMhg4sSJKIrCsmXLqFKlCjt27OCdd94hPDycVq1amTpEs3Djxg3eeustAgMDee211x67rrFRoNIKXniFqfOHzZw5k+vXr7Nu3brHjoI2Z5LkVRApKSkA+Y7YcnBw4MaNG2UZUrnyyiuvEBAQQIMGDbCxseHy5cssXbqUffv2MXbsWL799luLvQkURnJyMkC+I2j15fr1hPnYsGEDp0+fZu/evYa+S23atCE+Pp7FixezZs0aE0dY/iUlJTFq1CiqVatGaGjoY/tG5tdil5ycjJOTU2mGaVEKU+cPW7x4MT/88AOff/45Xl5epRyl6UifPCGA8ePHExAQgIuLCw4ODrRo0YKwsDD8/Pw4fvw4e/fuNXWIQpSqS5cuUbt27Tyd0xs3bkx8fLyJojIfGRkZjB49muTkZMLDw584BYqHhwe3bt3K8wdRbGyszJNXQIWtc73Vq1cTFhbGnDlzeO6550o5StOSJK+CeFILS0pKiszL9AiNRmOYQuTYsWMmjqZ80F8j+pbhRz2pxViUX3Xq1OHPP//MM8rw7NmzBRqUU5FlZ2czefJkYmNjCQ8Pp2bNmk/cJjg4GI1Gw44dOwxl9+/fJzIyknbt2pVmuBahKHUOsG3bNj766CPefvtt+vTpU8pRmp48rq0g9P2j4uLiaNq0aa5l9+/f5+7du/j4+JggsvJN36qRnp5u4kjKB32fO30fz0fp++wZ6/spyk56erqh9fnWrVukp6cbkgl9i7V+TsiVK1cC0KtXL8LCwhg1ahRvvvmmoU9eVFQUixYtMs2JmInZs2ezZ88eQkJCSElJ4cSJE4ZlTZo0wcbGJk9916pVi379+jF//nw0Gg01a9YkLCwMR0dHBg4caJLzMCdFqfPDhw8TEhJCYGAgAQEBubapVasWtWrVKtuTKAOS5FUQ/v7+hIWFERkZSY8ePXIt279/P6C7+YvcTp06BSAtGf/l7u6Oq6srx44dIy0tLdcI2wcPHhAdHY2rq6skeSZ2584dJk2alKtM/7N+smOtVptree3atVm1ahWffvops2fPJiMjA3d3dz755JM89wyRm/4eOm/evDzLdu/eTd26dfPUN8C0adOoUqUKCxcuJDU1FV9fX1asWCEt4QVQlDo/dOgQWVlZREVFMWDAgFzLxo8fb5HzpMobLyqI7OxsunXrxs2bN/nuu+9o3LgxoHu8NnDgQK5cucK2bdt45plnTBxp2bt06ZLR+aqio6N5/fXXUVWVnTt3UqdOHRNFWLb0kyHn98YL/aTH+U2GPG7cOJkMWQghygFJ8iqQqKgoRo4cSaVKlejZsycODg6G15pNnjyZf/7zn6YO0SRCQ0MJDw+nTZs2uLm5YWNjQ0xMDPv370ej0TB79myLnww2IiKCo0ePAhATE8PZs2fx9fU1tMh17tzZMHfao681e/bZZzl//jz79u2T15oJIUQ5IkleBXPq1CmWLFnCiRMnyMrKokGDBgwbNozevXubOjSTOXz4MGvXruWPP/7g77//JjMzk6eeego/Pz+GDx9eISaCDQkJYfPmzfkuf/RRRnJyMkuXLmXnzp38/fffVK9ena5duzJ+/Hh51CSEEOWEJHlCCCGEEBZIplARQgghhLBAkuQJIYQQQlggSfKEEEIIISyQJHlCCCGEEBZIkjwhhBDCRBITE5kyZQrBwcE0btwYb29vNm3a9NhtQkNDC7Tew65fv463tzdDhw4tbshlatOmTXh7exMaGlqg9c31PEuLvPFCCCGEMJH333+fPXv24O3tTevWrbG2tqZevXqmDktYCEnyhBBCCBPIzMxk3759uLm58f3336PRyMM1UbLkihJCCCFM4O+//yYnJwc3NzdJ8ESpkKtKiIdIfw4hytbly5d599136dy5M82aNaN169a89NJLfPTRR9y6dcuw3pP6Zg0dOhRvb2+uX79uKHv485yWlsbcuXNp3749zZs3p0+fPvz666+GdX/66Sf69etHy5Ytadu2LXPmzCEjI6PQ57N3715GjBiBv78/zZo1o2vXrnzyySckJSXlWq9jx4506NAB0L11x9vbG29vbzp27Fio4508eZI33niDVq1a4evry4gRIzhx4kSh4zYmLi6O0NBQBgwYQFBQEE2bNqVdu3ZMmTKFK1euGN1Gfw45OTksX76crl270rRpU9q3b8+CBQvIzMw0ut358+cZPXo0fn5++Pn5MWLECI4fP16s+FNSUpgzZw7t27enWbNmdO/ena+//hqtVptn3Y4dO+Lt7Y2qqqxevZrevXvTokULXnrppWLFYGryuFYIIYRJnD17lkGDBvHgwQOaN29O8+bNSU1N5dq1a6xatYrOnTvj6upa7ONkZWUxfPhw4uPjadmyJampqURHRzN+/HjCw8OJiYlhwYIFNGvWjKCgIKKjo1m9ejV3795l4cKFBT5OWFgYixYtwtraGn9/f5ydnTl27BjLly/n559/Zs2aNVSvXh2Arl27kpCQwM6dO6levTrPPfccAM7OzgU+3vHjx5kxYwb169enXbt2xMXFceDAAY4cOUJYWBhBQUGFq6hHREREsHz5cho0aEDTpk2xtbXl0qVLbNmyhd27d7NmzRoaNWpkdNv/+7//47fffqNZs2Y888wzREdHEx4ezs2bN/nkk09yrXvy5EmGDRtGeno6jRs3xsPDg4sXLzJ06FD69OlTpNgzMzN57bXXuHbtGq1btyYrK4uDBw8yd+5cLly4wNy5c41uN3PmTDZt2oS/vz+enp5kZWUV6fjlhiqEMLh27Zrq5eWlDhkyxNShCGHxpk6dqnp5eak7d+7Ms+zSpUvqzZs3DT9v3LhR9fLyUpcsWWJ0X0OGDFG9vLzUa9euGcr0n2f9Z/revXt59telSxc1ICBAPXLkiGHZjRs31DZt2qheXl5qfHx8gc7l5MmTaqNGjVQfHx/15MmThvIHDx6oEydOVL28vNSJEyfm2qao95slS5YYzmvRokWqVqs1LFuzZo3q5eWlBgcHqxkZGcU61vHjx9W4uLg85Rs2bFC9vLzUoUOH5lmmj6t79+65fhfx8fGqv7+/6uXllWufOTk5ardu3VQvLy81LCws174WL15s2F9+v/dHPfw779Wrl3rnzh3Dsri4ODU4OFj18vJSf/nll1zbdejQQfXy8lIDAwPVmJiYAh3LHMjjWiGEECZx584dAFq3bp1nmaenZ4m04gFYWVkxZ84cnJycDGUvv/wyLi4uxMXFMXjwYFq1amVYVrNmTXr16gXAkSNHCnSMNWvWoNVqGTZsGM2bNzeU29jYMGPGDCpXrsyuXbu4efNmiZwTgJubGxMmTEBRFEPZoEGDaNGiBbdu3eLnn38u1v5btmxpdKRv37598fX15fDhwyQnJxvddvr06dStW9fw89NPP03v3r0BiI6ONpQfOnSI2NhY3N3dGTVqVK59jB8/njp16hQ5/qlTp+Li4mL4uV69eowdOxaAtWvXGt1m1KhRNGzYsMjHLG8kyRMiHwXtz2GpfTmEKG3PPvssAFOmTOHUqVNG+0qVBDc3N+rXr5+rTKPRGBKItm3b5tlGn9zcvn27QMfQJy765PBhTz31FEFBQWi1Wo4dO1ao2B/nhRdewNo6b6+rHj16AHD06NFiHyM1NZVt27axYMECpk2bRkhICCEhIdy+fRtVVYmPj8+zTaVKlQgICMhT7u7uDuSuU32M3bp1y5WsAlhbW9O1a9cixV2tWjWjj6v1v59jx46hqmplW8QhAAAF70lEQVSe5YXtE1neSZ88IYwoSn8Oi+vLIUQpGzlyJEePHmXPnj3s2bMHR0dHWrRowfPPP0+fPn1wcHAokePUrFnTaLm9vX2+y+3s7ADyHSjwqFu3bqEoCm5ubkaX68sfHkxSXPm1cpXUsQ4ePMjbb79NYmJivuukpqbmKatRowZWVlZ5yvX1/XCd6mPM71xq165dqJj18tufg4MDVatWJSkpiZSUFBwdHQu0nbmSJE8II06cOIG3tzc7d+40NPfHx8czePBgNm3aROfOnenUqVOubXbt2sXmzZstqqlfiNLk4ODAqlWrDIne4cOHOXjwIJGRkYSFhbF27doCTwz8uFbAR1uICru8JJXlsYojNTWVyZMnc+/ePcaOHUvPnj2pU6cOlStXRlEU3nnnHbZt22a0Nawo51iW9WIsZj1bW9syi6MsyONaIfJR2P4cltaXQ4iyoCgKrVq14t133yUiIoLIyEh69uzJ7du3WbRokWG9SpUqAZCWlmZ0P3/99VeZxJsfV1dXVFUlISHB6PI///wT0LVylRT9PvMrL06fxujoaO7du0fXrl2ZNGkSnp6e2NnZGZKxa9euFXnfD9PHmF+9FfX3ml/dpKSkkJycjL29fYm1FJdnkuQJYURR+nNYWl8OIUzBxcWF8ePHAxATE2Mo1ydHxuZni42NNXmSpx+48cMPP+RZlpiYyP79+9FoNPj6+pbYMXft2kVOTk6e8u3btwMU61j6ef1q1aqVZ1lcXBx//PFHkff9MD8/P0B3Lo/eU7Ozs9m1a1eR9nvv3j0OHDiQp3zbtm0A+Pj4mE2ranFIkieEEU/qz5GWlkZKSkqBthFCGPftt98abRHat28fkLs/VrNmzbCzs+P333/nzJkzhvLExEQ++OCDUhu0UVCDBw9Go9GwatUqTp8+bSjPzMzkww8/JD09nS5duuTbP7AoEhISWLp0aa6y9evXc/z4cWrUqEGXLl2KvG/9IImff/45V5+8pKQkPvjggxLrcxwYGIi7uzuxsbF8+eWXuZb95z//ybeFryDmz5/P3bt3DT9fu3aNzz77DNCNQq4IpE+eEIWUX38OS+vLIURpW7duHbNmzaJBgwZ4enpiZWXFlStXOHfuHJUrVza06AFUqVKF119/nWXLljFo0CDD6M2TJ0/i6emJj49Psd+QUBzNmzdn0qRJLF68mIEDBxIQEGCYDPmvv/7C3d2dGTNmlOgx+/fvb5ho2dvbm7i4OE6fPk2lSpX497//TeXKlYu8b/3E0Pv376dr166G+j58+DDOzs506tSJ3bt3F/scNBoN8+bNY/jw4SxYsIAff/wRDw8PYmJiuHLlCq+++ioRERGF3m/Lli3Jysqia9eutG7dmszMTKKiokhPT6d379507ty52LGbA2nJE8II6c8hROmbNGkSffv2RVEUDh48yJ49e0hPT2fAgAFs3boVHx+fXOtPmDCBKVOmUKtWLaKiorh48SL9+vVjxYoVhj57pjRmzBjCwsLw9/fn9OnT7Nq1CxsbG0aOHMl3331neNtFSfHx8WH16tVUr16dPXv2cPnyZdq0acOqVato165dsff/2WefMWbMGFxcXNi3bx9nz57lxRdfZP369VStWrUEzkDHx8eHdevWGd7asWfPHlxcXFi5cmWRHznb2NiwcuVKevTowfHjx4mMjKRWrVpMnTqVefPmlVjs5Z2iPm6YiRAVzPXr1w2jZlesWJFn/qx169Yxc+ZMgoKC+OqrrwBdX7yEhAQuXLhQ5vEKIYQQ+ZGWPCHyIf05hBBCmDPpkyeEEdKfQwghhLmTJE8II2xsbAgPD2fRokX88ssv3L17l7p169K/f3+GDRtm6vCEEEKIJ5I+eUIIIYQQFkj65AkhhBBCWCBJ8oQQQgghLJAkeUIIIYQQFkiSPCGEEEIICyRJnhBCCCGEBZIkTwghhBDCAkmSJ4QQQghhgSTJE0IIIYSwQJLkCSGEEEJYIEnyhBBCCCEskCR5QgghhBAWSJI8IYQQQggLJEmeEEIIIYQF+n866PMKkDSsLAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=[7, 3])\n", - "\n", - "# code 6.5\n", - "ax1.scatter(m_6_1_trace[br], m_6_1_trace[bl], alpha=0.05, s=20)\n", - "ax1.set_xlabel('br')\n", - "ax1.set_ylabel('bl')\n", - "\n", - "# code 6.6\n", - "az.plot_kde(m_6_1_trace[br] + m_6_1_trace[bl], ax=ax2)\n", - "ax2.set_ylabel('Density')\n", - "ax2.set_xlabel('sum of bl and br')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.7" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bl, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 660.54draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.9060.3280.3691.3950.0170.012360.0345.0362.0351.01.0
bl2.0360.0711.9352.1540.0040.003354.0354.0358.0326.01.0
sigma0.6530.0470.5770.7250.0020.002402.0402.0401.0403.01.0
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.906 0.328 0.369 1.395 0.017 0.012 360.0 \n", - "bl 2.036 0.071 1.935 2.154 0.004 0.003 354.0 \n", - "sigma 0.653 0.047 0.577 0.725 0.002 0.002 402.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 345.0 362.0 351.0 1.0 \n", - "bl 354.0 358.0 326.0 1.0 \n", - "sigma 402.0 401.0 403.0 1.0 " - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_2:\n", - " a = pm.Normal('a', 10, 100)\n", - " bl = pm.Normal('bl', 2, 10)\n", - " \n", - " mu = pm.Deterministic('mu', a + bl * d.leg_left)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " height = pm.Normal('height', mu=mu, sigma=sigma, observed=d.height)\n", - " \n", - " m_6_2_trace = pm.sample()\n", - "\n", - "az.summary(m_6_2_trace, var_names=['~mu'], credible_interval=.89)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.8" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
cladespecieskcal.per.gperc.fatperc.proteinperc.lactosemassneocortex.percKFL
0StrepsirrhineEulemur fulvus0.4916.6015.4267.981.9555.16-0.940041-1.2172431.307262
1StrepsirrhineE macaco0.5119.2716.9163.822.09NaN-0.816126-1.0303551.011285
2StrepsirrhineE mongoz0.4614.1116.8569.042.51NaN-1.125913-1.3915311.382679
3StrepsirrhineE rubriventer0.4814.9113.1871.911.62NaN-1.001998-1.3355351.586874
4StrepsirrhineLemur catta0.6027.2819.5053.222.19NaN-0.258511-0.4696930.257115
\n", - "
" - ], - "text/plain": [ - " clade species kcal.per.g perc.fat perc.protein \\\n", - "0 Strepsirrhine Eulemur fulvus 0.49 16.60 15.42 \n", - "1 Strepsirrhine E macaco 0.51 19.27 16.91 \n", - "2 Strepsirrhine E mongoz 0.46 14.11 16.85 \n", - "3 Strepsirrhine E rubriventer 0.48 14.91 13.18 \n", - "4 Strepsirrhine Lemur catta 0.60 27.28 19.50 \n", - "\n", - " perc.lactose mass neocortex.perc K F L \n", - "0 67.98 1.95 55.16 -0.940041 -1.217243 1.307262 \n", - "1 63.82 2.09 NaN -0.816126 -1.030355 1.011285 \n", - "2 69.04 2.51 NaN -1.125913 -1.391531 1.382679 \n", - "3 71.91 1.62 NaN -1.001998 -1.335535 1.586874 \n", - "4 53.22 2.19 NaN -0.258511 -0.469693 0.257115 " - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "d = pd.read_csv('Data/milk.csv', sep=';')\n", - "\n", - "d.loc[:, 'K'] = (d.loc[:, 'kcal.per.g'] - d.loc[:, 'kcal.per.g'].mean()) / d.loc[:, 'kcal.per.g'].std()\n", - "d.loc[:, 'F'] = (d.loc[:, 'perc.fat'] - d.loc[:, 'perc.fat'].mean()) / d.loc[:, 'perc.fat'].std()\n", - "d.loc[:, 'L'] = (d.loc[:, 'perc.lactose'] - d.loc[:, 'perc.lactose'].mean()) / d.loc[:, 'perc.lactose'].std()\n", - "\n", - "d.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.9" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bF, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1849.02draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0030.089-0.1280.1450.0030.0031095.0424.01117.0616.01.0
bF0.8510.0950.7021.0030.0030.002992.0992.01046.0574.01.0
sigma0.4920.0720.3750.5980.0030.002740.0684.0904.0613.01.0
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a -0.003 0.089 -0.128 0.145 0.003 0.003 1095.0 \n", - "bF 0.851 0.095 0.702 1.003 0.003 0.002 992.0 \n", - "sigma 0.492 0.072 0.375 0.598 0.003 0.002 740.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 424.0 1117.0 616.0 1.0 \n", - "bF 992.0 1046.0 574.0 1.0 \n", - "sigma 684.0 904.0 613.0 1.0 " - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# kcal.per.g regressed on perc.fat\n", - "with pm.Model() as m_6_3:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bF = pm.Normal('bF', 0, 0.5)\n", - " \n", - " mu = pm.Deterministic('mu', a + bF * d.F)\n", - " sigma = pm.Exponential('sigma', 1)\n", - "\n", - " K = pm.Normal('K', mu, sigma, observed=d.K)\n", - " \n", - " m_6_3_trace = pm.sample()\n", - "\n", - "az.summary(m_6_3_trace, var_names=['~mu'], credible_interval=.89)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bF, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1820.75draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.0030.074-0.1100.1230.0020.002885.0624.0889.0539.01.0
bF-0.9000.075-1.027-0.7940.0020.002917.0917.0927.0717.01.0
sigma0.4110.0580.3260.5030.0020.0011041.01020.01038.0600.01.0
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.003 0.074 -0.110 0.123 0.002 0.002 885.0 \n", - "bF -0.900 0.075 -1.027 -0.794 0.002 0.002 917.0 \n", - "sigma 0.411 0.058 0.326 0.503 0.002 0.001 1041.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 624.0 889.0 539.0 1.0 \n", - "bF 917.0 927.0 717.0 1.0 \n", - "sigma 1020.0 1038.0 600.0 1.0 " - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# kcal.per.g regressed on perc.lactose\n", - "with pm.Model() as m_6_4:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bL = pm.Normal('bF', 0, 0.5)\n", - " \n", - " mu = pm.Deterministic('mu', a + bL * d.L)\n", - " sigma = pm.Exponential('sigma', 1)\n", - "\n", - " K = pm.Normal('K', mu, sigma, observed=d.K)\n", - " \n", - " m_6_4_trace = pm.sample()\n", - " \n", - "az.summary(m_6_4_trace, var_names=['~mu'], credible_interval=.89)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.10" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bL, bF, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 889.74draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0010.075-0.1510.1300.0030.003683.0403.0661.0644.01.00
bF0.2440.212-0.1440.6440.0110.008392.0392.0389.0344.01.01
bL-0.6730.209-1.064-0.2860.0100.008401.0381.0398.0369.01.01
sigma0.4170.0650.3080.5350.0030.002408.0408.0364.0272.01.01
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a -0.001 0.075 -0.151 0.130 0.003 0.003 683.0 403.0 \n", - "bF 0.244 0.212 -0.144 0.644 0.011 0.008 392.0 392.0 \n", - "bL -0.673 0.209 -1.064 -0.286 0.010 0.008 401.0 381.0 \n", - "sigma 0.417 0.065 0.308 0.535 0.003 0.002 408.0 408.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "a 661.0 644.0 1.00 \n", - "bF 389.0 344.0 1.01 \n", - "bL 398.0 369.0 1.01 \n", - "sigma 364.0 272.0 1.01 " - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_5:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bF = pm.Normal('bF', 0, 0.5)\n", - " bL = pm.Normal('bL', 0, 0.5)\n", - " \n", - " mu = pm.Deterministic('mu', a + bF * d.F + bL * d.L)\n", - " sigma = pm.Exponential('sigma', 1)\n", - "\n", - " K = pm.Normal('K', mu, sigma, observed=d.K)\n", - " \n", - " m_6_5_trace = pm.sample()\n", - " \n", - "az.summary(m_6_5_trace, var_names=['~mu'])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.11" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sns.pairplot(d.loc[:, ['kcal.per.g', 'perc.fat', 'perc.lactose']])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.12" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'correlation')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def sim_coll(r=0.9):\n", - " x = np.random.normal(loc=r * d.loc[:, 'perc.fat'],\n", - " scale=np.sqrt((1 - r**2) * np.var(d.loc[:, 'perc.fat'])))\n", - " p, cov = np.polyfit(d.loc[:, 'kcal.per.g'], d.loc[:, 'perc.fat'] + x, deg=1, cov=True)\n", - " return np.sqrt(np.diag(cov))[0]\n", - "\n", - "def rep_sim_coll(r=0.9, n=100):\n", - " return np.mean([sim_coll(r) for i in range(100)])\n", - "\n", - "r_seq = np.arange(0, 1, 0.01)\n", - "stdev = list(map(rep_sim_coll, r_seq))\n", - "\n", - "plt.scatter(r_seq, stdev)\n", - "plt.xlabel('r')\n", - "plt.ylabel('correlation')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.13" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
countmeanstdmin25%50%75%max
h0100.010.0329271.8651504.9396588.8357499.85269411.23652914.233877
h1100.014.2510892.4283407.95261412.68493614.58717916.23403318.693188
treatment100.00.5000000.5025190.0000000.0000000.5000001.0000001.000000
fungus100.00.2600000.4408440.0000000.0000000.0000001.0000001.000000
\n", - "
" - ], - "text/plain": [ - " count mean std min 25% 50% \\\n", - "h0 100.0 10.032927 1.865150 4.939658 8.835749 9.852694 \n", - "h1 100.0 14.251089 2.428340 7.952614 12.684936 14.587179 \n", - "treatment 100.0 0.500000 0.502519 0.000000 0.000000 0.500000 \n", - "fungus 100.0 0.260000 0.440844 0.000000 0.000000 0.000000 \n", - "\n", - " 75% max \n", - "h0 11.236529 14.233877 \n", - "h1 16.234033 18.693188 \n", - "treatment 1.000000 1.000000 \n", - "fungus 1.000000 1.000000 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# number of plants\n", - "N = 100\n", - "# simulate initial heights\n", - "h0 = np.random.normal(10, 2, N)\n", - "# assign treatments and simulate fungus and growth\n", - "treatment = np.repeat([0,1], N/2)\n", - "fungus = np.random.binomial(n=1, p=0.5 - treatment * 0.4, size=N)\n", - "h1 = h0 + np.random.normal(5 - 3 * fungus, size=N)\n", - "# compose a clean data frame\n", - "d = pd.DataFrame.from_dict({'h0': h0, 'h1': h1, 'treatment': treatment, 'fungus': fungus})\n", - "\n", - "d.describe().T" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.14" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "arviz.stats.stats_utils - WARNING - Shape validation failed: input_shape: (1, 10000), minimum_shape: (chains=2, draws=4)\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
x1.0340.2650.5731.5210.0030.0029749.09737.09769.09324.0NaN
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "x 1.034 0.265 0.573 1.521 0.003 0.002 9749.0 9737.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "x 9769.0 9324.0 NaN " - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sim_p = np.random.lognormal(0, 0.25, int(1e4))\n", - "\n", - "az.summary(sim_p)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.15" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, p]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1994.57draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
p1.4030.0181.3691.4350.0010.0001014.01014.01010.0594.01.01
sigma1.8740.1331.6482.1480.0040.0031026.01020.01021.0747.01.00
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "p 1.403 0.018 1.369 1.435 0.001 0.000 1014.0 1014.0 \n", - "sigma 1.874 0.133 1.648 2.148 0.004 0.003 1026.0 1020.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "p 1010.0 594.0 1.01 \n", - "sigma 1021.0 747.0 1.00 " - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_6:\n", - " p = pm.Lognormal('p', 0, 0.25)\n", - " \n", - " mu = pm.Deterministic('mu', p * d.h0)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", - " \n", - " m_6_6_trace = pm.sample()\n", - "\n", - "az.summary(m_6_6_trace, var_names=['~mu'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.16" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bf, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1017.76draws/s]\n", - "The acceptance probability does not match the target. It is 0.8936683270553085, but should be close to 0.8. Try to increase the number of tuning steps.\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a1.4730.0201.4321.5080.0010.001630.0624.0636.0757.01.00
bt0.0150.025-0.0330.0620.0010.001610.0573.0607.0607.01.01
bf-0.2950.030-0.353-0.2400.0010.001764.0763.0765.0811.01.00
sigma1.2570.0881.1031.4160.0030.002662.0659.0664.0607.01.00
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a 1.473 0.020 1.432 1.508 0.001 0.001 630.0 624.0 \n", - "bt 0.015 0.025 -0.033 0.062 0.001 0.001 610.0 573.0 \n", - "bf -0.295 0.030 -0.353 -0.240 0.001 0.001 764.0 763.0 \n", - "sigma 1.257 0.088 1.103 1.416 0.003 0.002 662.0 659.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "a 636.0 757.0 1.00 \n", - "bt 607.0 607.0 1.01 \n", - "bf 765.0 811.0 1.00 \n", - "sigma 664.0 607.0 1.00 " - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_7:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bt = pm.Normal('bt', 0, 0.5)\n", - " bf = pm.Normal('bf', 0, 0.5)\n", - " \n", - " p = a + bt * d.treatment + bf * d.fungus\n", - " \n", - " mu = pm.Deterministic('mu', p * d.h0)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", - " \n", - " m_6_7_trace = pm.sample()\n", - "\n", - "az.summary(m_6_7_trace, var_names=['~mu'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.17" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1346.62draws/s]\n", - "The acceptance probability does not match the target. It is 0.8808811481735465, but should be close to 0.8. Try to increase the number of tuning steps.\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a1.3430.0241.3011.3920.0010.001653.0653.0655.0573.01.0
bt0.1080.0360.0460.1770.0010.001641.0641.0655.0819.01.0
sigma1.8510.1341.6252.1170.0060.004585.0585.0586.0580.01.0
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a 1.343 0.024 1.301 1.392 0.001 0.001 653.0 653.0 \n", - "bt 0.108 0.036 0.046 0.177 0.001 0.001 641.0 641.0 \n", - "sigma 1.851 0.134 1.625 2.117 0.006 0.004 585.0 585.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "a 655.0 573.0 1.0 \n", - "bt 655.0 819.0 1.0 \n", - "sigma 586.0 580.0 1.0 " - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_8:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bt = pm.Normal('bt', 0, 0.5)\n", - " \n", - " p = a + bt * d.treatment\n", - " \n", - " mu = pm.Deterministic('mu', p * d.h0)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", - " \n", - " m_6_8_trace = pm.sample()\n", - "\n", - "az.summary(m_6_8_trace, var_names=['~mu'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.18\n", - "\n", - "Using [`causalgraphicalmodels`](https://github.com/ijmbarr/causalgraphicalmodels) for graph drawing and analysis instead of `dagitty`, following the example of [ksachdeva's Tensorflow version of Rethinking](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import daft\n", - "from causalgraphicalmodels import CausalGraphicalModel\n", - "\n", - "plant_dag = CausalGraphicalModel(\n", - " nodes=[\"H0\", \"H1\", \"F\", \"T\"],\n", - " edges=[(\"H0\", \"H1\"),\n", - " (\"F\", \"H1\"),\n", - " (\"T\", \"F\")])\n", - "pgm = daft.PGM()\n", - "coordinates = {\"H0\": (0, 0), \"T\": (4, 0), \"F\": (3, 0), \"H1\": (2, 0)}\n", - "for node in plant_dag.dag.nodes:\n", - " pgm.add_node(node, node, *coordinates[node])\n", - "for edge in plant_dag.dag.edges:\n", - " pgm.add_edge(*edge)\n", - "pgm.render()\n", - "plt.gca().invert_yaxis()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.19\n", - "\n", - "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "('H1', 'T', {'F'})\n", - "('T', 'H0', set())\n", - "('F', 'H0', set())\n" - ] - } - ], - "source": [ - "all_independencies = plant_dag.get_all_independence_relationships()\n", - "for s in all_independencies:\n", - " if all(t[0] != s[0] or t[1] != s[1] or not t[2].issubset(s[2])\n", - " for t in all_independencies if t != s):\n", - " print(s)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.20" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
countmeanstdmin25%50%75%max
h01000.010.0882871.9235544.1255068.81523610.05438011.42834816.570629
h11000.016.6275022.6776267.83907014.73002616.60634818.54559424.136891
treatment1000.00.5000000.5002500.0000000.0000000.5000001.0000001.000000
fungus1000.00.4870000.5000810.0000000.0000000.0000001.0000001.000000
\n", - "
" - ], - "text/plain": [ - " count mean std min 25% 50% \\\n", - "h0 1000.0 10.088287 1.923554 4.125506 8.815236 10.054380 \n", - "h1 1000.0 16.627502 2.677626 7.839070 14.730026 16.606348 \n", - "treatment 1000.0 0.500000 0.500250 0.000000 0.000000 0.500000 \n", - "fungus 1000.0 0.487000 0.500081 0.000000 0.000000 0.000000 \n", - "\n", - " 75% max \n", - "h0 11.428348 16.570629 \n", - "h1 18.545594 24.136891 \n", - "treatment 1.000000 1.000000 \n", - "fungus 1.000000 1.000000 " - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N = 1000\n", - "h0 = np.random.normal(10, 2, N)\n", - "treatment = np.repeat([0,1], N/2)\n", - "M = np.random.binomial(1, 0.5, size=N) # assumed probability 0.5 here, as not given in book\n", - "fungus = np.random.binomial(n=1, p=0.5 - treatment * 0.4 + 0.4 * M, size=N)\n", - "h1 = h0 + np.random.normal(5 + 3 * M, size=N)\n", - "d = pd.DataFrame.from_dict({'h0': h0, 'h1': h1, 'treatment': treatment, 'fungus': fungus})\n", - "\n", - "d.describe().T" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Re-run m_6_6 and m_6_7 on this dataset" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.21\n", - "\n", - "Including a python implementation of the sim_happiness function" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "def inv_logit(x):\n", - " return np.exp(x) / (1 + np.exp(x))\n", - "\n", - "def sim_happiness(N_years=100, seed=1234):\n", - " np.random.seed(seed)\n", - "\n", - " popn = pd.DataFrame(np.zeros((20 * 65, 3)), columns=['age', 'happiness', 'married'])\n", - " popn.loc[:, 'age'] = np.repeat(np.arange(65), 20)\n", - " popn.loc[:, 'happiness'] = np.repeat(np.linspace(-2, 2, 20), 65)\n", - " popn.loc[:, 'married'] = np.array(popn.loc[:, 'married'].values, dtype='bool')\n", - "\n", - " for i in range(N_years):\n", - " # age population\n", - " popn.loc[:, 'age'] += 1\n", - " # replace old folk with new folk\n", - " ind = popn.age == 65\n", - " popn.loc[ind, 'age'] = 0\n", - " popn.loc[ind, 'married'] = False\n", - " popn.loc[ind, 'happiness'] = np.linspace(-2, 2, 20)\n", - "\n", - " # do the work\n", - " elligible = (popn.married == 0) & (popn.age >= 18)\n", - " marry = np.random.binomial(1, inv_logit(popn.loc[elligible, 'happiness'] - 4)) == 1\n", - " popn.loc[elligible, 'married'] = marry\n", - "\n", - " popn.sort_values('age', inplace=True, ignore_index=True)\n", - " \n", - " return popn" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "popn = sim_happiness()" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
countmeanstdmin25%50%75%max
age1300.03.200000e+0118.7688830.016.03.200000e+0148.064.0
happiness1300.0-1.024821e-161.214421-2.0-1.0-1.110223e-161.02.0
\n", - "
" - ], - "text/plain": [ - " count mean std min 25% 50% 75% \\\n", - "age 1300.0 3.200000e+01 18.768883 0.0 16.0 3.200000e+01 48.0 \n", - "happiness 1300.0 -1.024821e-16 1.214421 -2.0 -1.0 -1.110223e-16 1.0 \n", - "\n", - " max \n", - "age 64.0 \n", - "happiness 2.0 " - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "popn.describe().T" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure 6.4\n", - "fig, ax = plt.subplots(figsize=[10, 3.4])\n", - "\n", - "for age, g in popn.groupby('age'):\n", - " colors = np.array(['w'] * 20)\n", - " colors[g.married] = 'b'\n", - " ax.scatter([age] * 20, np.arange(20), edgecolor='k', color=colors)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.22" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pandas/core/indexing.py:845: 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", - " self.obj[key] = _infer_fill_value(value)\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pandas/core/indexing.py:966: 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", - " self.obj[item] = s\n" - ] - } - ], - "source": [ - "adults = popn.loc[popn.age > 17]\n", - "adults.loc[:, 'A'] = (adults.loc[:, 'age'] - 18) / (65 - 18)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.23" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:04<00:00, 716.00draws/s]\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a[0]-0.2020.069-0.332-0.0720.0020.002840.0840.0838.0970.01.0
a[1]1.2120.0931.0391.3840.0030.002801.0791.0802.0860.01.0
bA-0.7130.126-0.942-0.4730.0050.003749.0746.0744.0909.01.0
sigma1.0210.0240.9771.0650.0010.0011102.01101.01103.01147.01.0
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a[0] -0.202 0.069 -0.332 -0.072 0.002 0.002 840.0 840.0 \n", - "a[1] 1.212 0.093 1.039 1.384 0.003 0.002 801.0 791.0 \n", - "bA -0.713 0.126 -0.942 -0.473 0.005 0.003 749.0 746.0 \n", - "sigma 1.021 0.024 0.977 1.065 0.001 0.001 1102.0 1101.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "a[0] 838.0 970.0 1.0 \n", - "a[1] 802.0 860.0 1.0 \n", - "bA 744.0 909.0 1.0 \n", - "sigma 1103.0 1147.0 1.0 " - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mid = pd.Categorical(adults.loc[:, 'married'].astype(int))\n", - "\n", - "with pm.Model() as m_6_9:\n", - " a = pm.Normal('a', 0, 1, shape=2)\n", - " bA = pm.Normal('bA', 0, 2)\n", - "\n", - " mu = a[mid] + bA * adults.A.values\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " happiness = pm.Normal('happiness', mu, sigma, observed=adults.happiness.values)\n", - " \n", - " m_6_9_trace = pm.sample(1000)\n", - "\n", - "az.summary(m_6_9_trace)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.24" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:02<00:00, 1252.55draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0000.078-0.1560.1360.0030.002888.0672.0887.0800.01.01
bA0.0010.136-0.2300.2720.0050.004894.0656.0903.0873.01.00
sigma1.2160.0291.1611.2690.0010.0011019.01017.01023.01002.01.00
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a -0.000 0.078 -0.156 0.136 0.003 0.002 888.0 672.0 \n", - "bA 0.001 0.136 -0.230 0.272 0.005 0.004 894.0 656.0 \n", - "sigma 1.216 0.029 1.161 1.269 0.001 0.001 1019.0 1017.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "a 887.0 800.0 1.01 \n", - "bA 903.0 873.0 1.00 \n", - "sigma 1023.0 1002.0 1.00 " - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m6_10:\n", - " a = pm.Normal('a', 0, 1)\n", - " bA = pm.Normal('bA', 0, 2)\n", - "\n", - " mu = a + bA * adults.A.values\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " happiness = pm.Normal('happiness', mu, sigma, observed=adults.happiness.values)\n", - " \n", - " trace_6_10 = pm.sample(1000)\n", - "\n", - "az.summary(trace_6_10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.25" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "N = 200 # number of of grandparent-parent-child triads\n", - "b_GP = 1 # direct effect of G on P\n", - "b_GC = 0 # direct effect of G on C\n", - "b_PC = 1 # direct effect of P on C\n", - "b_U = 2 # direct effect of U on P and C" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.26" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "U = 2 * np.random.binomial(1, 0.5, N) - 1\n", - "G = np.random.normal(size=N)\n", - "P = np.random.normal(b_GP * G + b_U * U)\n", - "C = np.random.normal(b_PC * P + b_GC * G + b_U * U)\n", - "d = pd.DataFrame.from_dict({'C': C, 'P': P, 'G': G, 'U': U})" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'grandchild education (C)')" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure 6.5\n", - "\n", - "# grandparent education\n", - "bad = U < 0\n", - "good = ~bad\n", - "plt.scatter(G[good], C[good], color='w', lw=1, edgecolor='C0')\n", - "plt.scatter(G[bad], C[bad], color='w', lw=1, edgecolor='k')\n", - "\n", - "# parents with similar education\n", - "eP = (P > -1) & (P < 1)\n", - "plt.scatter(G[good & eP], C[good & eP], color='C0', lw=1, edgecolor='C0')\n", - "plt.scatter(G[bad & eP], C[bad & eP], color='k', lw=1, edgecolor='k')\n", - "\n", - "\n", - "p = np.polyfit(G[eP], C[eP], 1)\n", - "xn = np.array([-2,3])\n", - "plt.plot(xn, np.polyval(p, xn))\n", - "\n", - "plt.xlabel('grandparent education (G)')\n", - "plt.ylabel('grandchild education (C)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.27" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, b_GC, b_PC, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1312.85draws/s]\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0330.096-0.1870.1120.0030.0031233.0590.01221.0724.01.00
b_PC1.8510.0441.7821.9200.0010.001925.0925.0932.0716.01.02
b_GC-0.8110.099-0.964-0.6550.0030.002917.0916.0924.0785.01.01
sigma1.3530.0711.2401.4600.0020.002945.0932.0974.0762.01.00
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a -0.033 0.096 -0.187 0.112 0.003 0.003 1233.0 \n", - "b_PC 1.851 0.044 1.782 1.920 0.001 0.001 925.0 \n", - "b_GC -0.811 0.099 -0.964 -0.655 0.003 0.002 917.0 \n", - "sigma 1.353 0.071 1.240 1.460 0.002 0.002 945.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 590.0 1221.0 724.0 1.00 \n", - "b_PC 925.0 932.0 716.0 1.02 \n", - "b_GC 916.0 924.0 785.0 1.01 \n", - "sigma 932.0 974.0 762.0 1.00 " - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_11:\n", - " a = pm.Normal('a', 0, 1)\n", - " p_PC = pm.Normal('b_PC', 0, 1)\n", - " p_GC = pm.Normal('b_GC', 0, 1)\n", - " \n", - " mu = pm.Deterministic('mu', a + p_PC * d.P + p_GC * d.G)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " pC = pm.Normal('C', mu, sigma, observed=d.C)\n", - " \n", - " m_6_11_trace = pm.sample()\n", - " \n", - "az.summary(m_6_11_trace, var_names=['~mu'], credible_interval=0.89)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.28" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, b_U, b_GC, b_PC, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 836.63draws/s] \n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0090.072-0.1240.1020.0030.002697.0487.0685.0594.01.0
b_PC1.0400.0740.9271.1620.0040.003286.0285.0287.0466.01.0
b_GC-0.0100.097-0.1570.1580.0050.004336.0336.0337.0568.01.0
b_U2.0070.1641.7562.2570.0100.007297.0297.0298.0455.01.0
sigma1.0010.0490.9271.0830.0020.001741.0741.0733.0680.01.0
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a -0.009 0.072 -0.124 0.102 0.003 0.002 697.0 \n", - "b_PC 1.040 0.074 0.927 1.162 0.004 0.003 286.0 \n", - "b_GC -0.010 0.097 -0.157 0.158 0.005 0.004 336.0 \n", - "b_U 2.007 0.164 1.756 2.257 0.010 0.007 297.0 \n", - "sigma 1.001 0.049 0.927 1.083 0.002 0.001 741.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 487.0 685.0 594.0 1.0 \n", - "b_PC 285.0 287.0 466.0 1.0 \n", - "b_GC 336.0 337.0 568.0 1.0 \n", - "b_U 297.0 298.0 455.0 1.0 \n", - "sigma 741.0 733.0 680.0 1.0 " - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_6_12:\n", - " a = pm.Normal('a', 0, 1)\n", - " p_PC = pm.Normal('b_PC', 0, 1)\n", - " p_GC = pm.Normal('b_GC', 0, 1)\n", - " p_U = pm.Normal('b_U', 0, 1)\n", - " \n", - " mu = pm.Deterministic('mu', a + p_PC * d.P + p_GC * d.G + p_U * d.U)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " pC = pm.Normal('C', mu, sigma, observed=d.C)\n", - " \n", - " m_6_12_trace = pm.sample()\n", - " \n", - "az.summary(m_6_12_trace, var_names=['~mu'], credible_interval=0.89)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.29\n", - "\n", - "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "frozenset({'C'})\n", - "frozenset({'A'})\n" - ] - } - ], - "source": [ - "dag_6_1 = CausalGraphicalModel(\n", - " nodes=[\"X\", \"Y\", \"C\", \"U\", \"B\", \"A\"],\n", - " edges=[(\"X\", \"Y\"), (\"U\", \"X\"), (\"A\", \"U\"), (\"A\", \"C\"),\n", - " (\"C\", \"Y\"), (\"U\", \"B\"), (\"C\", \"B\")])\n", - "all_adjustment_sets = dag_6_1.get_all_backdoor_adjustment_sets(\"X\", \"Y\")\n", - "for s in all_adjustment_sets:\n", - " if all(not t.issubset(s) for t in all_adjustment_sets if t != s):\n", - " if s != {\"U\"}:\n", - " print(s)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.30\n", - "\n", - "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "frozenset({'S'})\n", - "frozenset({'M', 'A'})\n" - ] - } - ], - "source": [ - "dag_6_2 = CausalGraphicalModel(\n", - " nodes=[\"S\", \"A\", \"D\", \"M\", \"W\"],\n", - " edges=[(\"S\", \"A\"), (\"A\", \"D\"),\n", - " (\"S\", \"M\"), (\"M\", \"D\"),\n", - " (\"S\", \"W\"), (\"W\", \"D\"),\n", - " (\"A\", \"M\")])\n", - "all_adjustment_sets = dag_6_2.get_all_backdoor_adjustment_sets(\"W\", \"D\")\n", - "for s in all_adjustment_sets:\n", - " if all(not t.issubset(s)for t in all_adjustment_sets if t != s):\n", - " print(s)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 6.31\n", - "\n", - "Credit [ksachdeva](https://ksachdeva.github.io/rethinking-tensorflow-probability/)" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "('S', 'D', {'W', 'M', 'A'})\n", - "('M', 'W', {'S'})\n", - "('W', 'A', {'S'})\n" - ] - } - ], - "source": [ - "all_independencies = dag_6_2.get_all_independence_relationships()\n", - "for s in all_independencies:\n", - " if all(t[0] != s[0] or t[1] != s[1] or not t[2].issubset(s[2])\n", - " for t in all_independencies if t != s):\n", - " print(s)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.6" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} From 47ff2f9669754ae2e57808078b9cd6b4ced5ec98 Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 4 May 2020 23:33:38 +0100 Subject: [PATCH 05/15] Refresh and Run All in botebook --- Rethinking_2/Chp_07.ipynb | 1484 ++++++++++++++++++------------------- 1 file changed, 722 insertions(+), 762 deletions(-) diff --git a/Rethinking_2/Chp_07.ipynb b/Rethinking_2/Chp_07.ipynb index 31fde1d..12ff387 100644 --- a/Rethinking_2/Chp_07.ipynb +++ b/Rethinking_2/Chp_07.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 302, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -57,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 103, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -66,7 +66,7 @@ "Text(0, 0.5, 'brain volume (cc)')" ] }, - "execution_count": 103, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -127,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 163, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -138,7 +138,8 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 4000/4000 [00:02<00:00, 1578.60draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 4000/4000 [00:03<00:00, 1138.42draws/s]\n", + "The acceptance probability does not match the target. It is 0.8824514061573785, but should be close to 0.8. Try to increase the number of tuning steps.\n" ] }, { @@ -179,44 +180,44 @@ " \n", " a\n", " 0.527\n", - " 0.112\n", - " 0.375\n", - " 0.692\n", - " 0.004\n", + " 0.107\n", + " 0.363\n", + " 0.677\n", " 0.003\n", - " 672.0\n", - " 672.0\n", - " 1042.0\n", - " 589.0\n", - " 1.00\n", + " 0.002\n", + " 1197.0\n", + " 1116.0\n", + " 1363.0\n", + " 912.0\n", + " 1.0\n", " \n", " \n", " b\n", - " 0.168\n", - " 0.131\n", - " -0.001\n", - " 0.366\n", - " 0.005\n", + " 0.170\n", + " 0.125\n", + " -0.004\n", + " 0.353\n", " 0.004\n", - " 623.0\n", - " 509.0\n", - " 839.0\n", - " 496.0\n", - " 1.01\n", + " 0.003\n", + " 1012.0\n", + " 748.0\n", + " 1224.0\n", + " 788.0\n", + " 1.0\n", " \n", " \n", " log_sigma\n", - " -1.382\n", - " 0.388\n", - " -1.994\n", - " -0.789\n", - " 0.017\n", - " 0.012\n", - " 538.0\n", - " 538.0\n", - " 595.0\n", - " 517.0\n", - " 1.01\n", + " -1.400\n", + " 0.378\n", + " -1.982\n", + " -0.831\n", + " 0.015\n", + " 0.011\n", + " 613.0\n", + " 613.0\n", + " 665.0\n", + " 602.0\n", + " 1.0\n", " \n", " \n", "\n", @@ -224,17 +225,17 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.527 0.112 0.375 0.692 0.004 0.003 672.0 \n", - "b 0.168 0.131 -0.001 0.366 0.005 0.004 623.0 \n", - "log_sigma -1.382 0.388 -1.994 -0.789 0.017 0.012 538.0 \n", + "a 0.527 0.107 0.363 0.677 0.003 0.002 1197.0 \n", + "b 0.170 0.125 -0.004 0.353 0.004 0.003 1012.0 \n", + "log_sigma -1.400 0.378 -1.982 -0.831 0.015 0.011 613.0 \n", "\n", " ess_sd ess_bulk ess_tail r_hat \n", - "a 672.0 1042.0 589.0 1.00 \n", - "b 509.0 839.0 496.0 1.01 \n", - "log_sigma 538.0 595.0 517.0 1.01 " + "a 1116.0 1363.0 912.0 1.0 \n", + "b 748.0 1224.0 788.0 1.0 \n", + "log_sigma 613.0 665.0 602.0 1.0 " ] }, - "execution_count": 163, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -265,7 +266,7 @@ }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -313,30 +314,30 @@ " \n", " \n", " b\n", - " 0.166\n", - " 0.074\n", - " 0.041\n", - " 0.275\n", - " 0.002\n", + " 0.167\n", + " 0.077\n", + " 0.048\n", + " 0.294\n", + " 0.003\n", " 0.002\n", - " 1032.0\n", - " 1032.0\n", - " 1031.0\n", - " 1011.0\n", + " 892.0\n", + " 886.0\n", + " 898.0\n", + " 906.0\n", " NaN\n", " \n", " \n", " a\n", " 0.530\n", " 0.070\n", - " 0.425\n", - " 0.646\n", + " 0.432\n", + " 0.661\n", " 0.002\n", " 0.002\n", - " 1004.0\n", - " 991.0\n", - " 1020.0\n", - " 844.0\n", + " 1055.0\n", + " 1055.0\n", + " 1061.0\n", + " 872.0\n", " NaN\n", " \n", " \n", @@ -345,15 +346,15 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "b 0.166 0.074 0.041 0.275 0.002 0.002 1032.0 1032.0 \n", - "a 0.530 0.070 0.425 0.646 0.002 0.002 1004.0 991.0 \n", + "b 0.167 0.077 0.048 0.294 0.003 0.002 892.0 886.0 \n", + "a 0.530 0.070 0.432 0.661 0.002 0.002 1055.0 1055.0 \n", "\n", " ess_bulk ess_tail r_hat \n", - "b 1031.0 1011.0 NaN \n", - "a 1020.0 844.0 NaN " + "b 898.0 906.0 NaN \n", + "a 1061.0 872.0 NaN " ] }, - "execution_count": 164, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -375,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -384,16 +385,16 @@ "text": [ "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pymc3/sampling.py:1247: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n", " \"samples parameter is smaller than nchains times ndraws, some draws \"\n", - "100%|██████████| 1000/1000 [00:01<00:00, 808.56it/s]\n" + "100%|██████████| 1000/1000 [00:01<00:00, 560.06it/s]\n" ] }, { "data": { "text/plain": [ - "0.4658623024556936" + "0.5282150917062397" ] }, - "execution_count": 165, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -415,23 +416,25 @@ }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [00:01<00:00, 913.77it/s]\n" + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pymc3/sampling.py:1247: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n", + " \"samples parameter is smaller than nchains times ndraws, some draws \"\n", + "100%|██████████| 1000/1000 [00:02<00:00, 450.01it/s]\n" ] }, { "data": { "text/plain": [ - "0.4830854986840514" + "0.484077273434799" ] }, - "execution_count": 166, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -455,7 +458,7 @@ }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -466,10 +469,8 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 9 divergences: 100%|██████████| 4000/4000 [00:04<00:00, 839.45draws/s] \n", - "There were 7 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.6931376548284643, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "There were 2 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "Sampling 2 chains, 4 divergences: 100%|██████████| 4000/4000 [00:06<00:00, 643.99draws/s]\n", + "There were 4 divergences after tuning. Increase `target_accept` or reparameterize.\n", "The number of effective samples is smaller than 25% for some parameters.\n" ] }, @@ -510,59 +511,59 @@ " \n", " \n", " a\n", - " 0.586\n", - " 0.243\n", - " 0.239\n", - " 0.964\n", - " 0.010\n", - " 0.008\n", - " 574.0\n", - " 513.0\n", - " 598.0\n", - " 591.0\n", - " 1.0\n", + " 0.603\n", + " 0.246\n", + " 0.251\n", + " 0.998\n", + " 0.009\n", + " 0.007\n", + " 724.0\n", + " 613.0\n", + " 724.0\n", + " 653.0\n", + " 1.01\n", " \n", " \n", " b[0]\n", - " 0.193\n", - " 0.168\n", - " -0.059\n", - " 0.420\n", + " 0.196\n", + " 0.157\n", + " -0.038\n", + " 0.440\n", " 0.006\n", - " 0.005\n", - " 744.0\n", - " 475.0\n", - " 773.0\n", - " 755.0\n", - " 1.0\n", + " 0.004\n", + " 712.0\n", + " 673.0\n", + " 726.0\n", + " 676.0\n", + " 1.00\n", " \n", " \n", " b[1]\n", - " -0.075\n", - " 0.254\n", - " -0.446\n", - " 0.311\n", + " -0.088\n", + " 0.262\n", + " -0.493\n", + " 0.282\n", " 0.010\n", " 0.009\n", - " 590.0\n", - " 408.0\n", - " 624.0\n", - " 672.0\n", - " 1.0\n", + " 713.0\n", + " 454.0\n", + " 685.0\n", + " 703.0\n", + " 1.00\n", " \n", " \n", " log_sigma\n", - " -1.265\n", - " 0.408\n", - " -1.909\n", - " -0.638\n", - " 0.021\n", + " -1.245\n", + " 0.415\n", + " -1.868\n", + " -0.609\n", + " 0.022\n", " 0.016\n", - " 374.0\n", - " 331.0\n", - " 346.0\n", - " 276.0\n", - " 1.0\n", + " 341.0\n", + " 341.0\n", + " 350.0\n", + " 592.0\n", + " 1.01\n", " \n", " \n", "\n", @@ -570,19 +571,19 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.586 0.243 0.239 0.964 0.010 0.008 574.0 \n", - "b[0] 0.193 0.168 -0.059 0.420 0.006 0.005 744.0 \n", - "b[1] -0.075 0.254 -0.446 0.311 0.010 0.009 590.0 \n", - "log_sigma -1.265 0.408 -1.909 -0.638 0.021 0.016 374.0 \n", + "a 0.603 0.246 0.251 0.998 0.009 0.007 724.0 \n", + "b[0] 0.196 0.157 -0.038 0.440 0.006 0.004 712.0 \n", + "b[1] -0.088 0.262 -0.493 0.282 0.010 0.009 713.0 \n", + "log_sigma -1.245 0.415 -1.868 -0.609 0.022 0.016 341.0 \n", "\n", " ess_sd ess_bulk ess_tail r_hat \n", - "a 513.0 598.0 591.0 1.0 \n", - "b[0] 475.0 773.0 755.0 1.0 \n", - "b[1] 408.0 624.0 672.0 1.0 \n", - "log_sigma 331.0 346.0 276.0 1.0 " + "a 613.0 724.0 653.0 1.01 \n", + "b[0] 673.0 726.0 676.0 1.00 \n", + "b[1] 454.0 685.0 703.0 1.00 \n", + "log_sigma 341.0 350.0 592.0 1.01 " ] }, - "execution_count": 167, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -612,7 +613,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -623,11 +624,9 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 31 divergences: 100%|██████████| 4000/4000 [00:07<00:00, 513.89draws/s]\n", - "There were 30 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.6584178134796362, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "Sampling 2 chains, 6 divergences: 100%|██████████| 4000/4000 [00:08<00:00, 458.27draws/s]\n", "There was 1 divergence after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.8859943332916341, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "There were 5 divergences after tuning. Increase `target_accept` or reparameterize.\n", "The number of effective samples is smaller than 25% for some parameters.\n" ] }, @@ -668,73 +667,73 @@ " \n", " \n", " a\n", - " 0.530\n", - " 0.280\n", - " 0.075\n", - " 0.924\n", - " 0.012\n", - " 0.009\n", - " 562.0\n", - " 519.0\n", - " 541.0\n", - " 700.0\n", + " 0.547\n", + " 0.324\n", + " 0.102\n", + " 1.053\n", + " 0.014\n", + " 0.013\n", + " 518.0\n", + " 317.0\n", + " 551.0\n", + " 419.0\n", " 1.00\n", " \n", " \n", " b[0]\n", - " 0.388\n", - " 0.463\n", - " -0.290\n", - " 0.947\n", - " 0.020\n", - " 0.018\n", - " 546.0\n", - " 318.0\n", - " 440.0\n", - " 500.0\n", + " 0.413\n", + " 0.437\n", + " -0.306\n", + " 1.054\n", + " 0.021\n", + " 0.015\n", + " 453.0\n", + " 453.0\n", + " 473.0\n", + " 421.0\n", " 1.01\n", " \n", " \n", " b[1]\n", - " 0.050\n", - " 0.354\n", - " -0.573\n", - " 0.536\n", - " 0.016\n", - " 0.013\n", - " 466.0\n", - " 376.0\n", - " 457.0\n", - " 546.0\n", + " 0.039\n", + " 0.406\n", + " -0.585\n", + " 0.637\n", + " 0.019\n", + " 0.019\n", + " 463.0\n", + " 239.0\n", + " 520.0\n", + " 367.0\n", " 1.00\n", " \n", " \n", " b[2]\n", - " -0.197\n", + " -0.213\n", " 0.398\n", - " -0.816\n", - " 0.321\n", - " 0.018\n", - " 0.018\n", - " 465.0\n", - " 254.0\n", - " 380.0\n", - " 436.0\n", + " -0.802\n", + " 0.435\n", + " 0.019\n", + " 0.015\n", + " 426.0\n", + " 366.0\n", + " 447.0\n", + " 339.0\n", " 1.01\n", " \n", " \n", " log_sigma\n", - " -1.184\n", - " 0.483\n", - " -1.929\n", - " -0.454\n", - " 0.030\n", - " 0.022\n", - " 253.0\n", - " 244.0\n", + " -1.151\n", + " 0.444\n", + " -1.817\n", + " -0.467\n", + " 0.028\n", + " 0.020\n", " 243.0\n", - " 252.0\n", - " 1.02\n", + " 243.0\n", + " 285.0\n", + " 367.0\n", + " 1.00\n", " \n", " \n", "\n", @@ -742,21 +741,21 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.530 0.280 0.075 0.924 0.012 0.009 562.0 \n", - "b[0] 0.388 0.463 -0.290 0.947 0.020 0.018 546.0 \n", - "b[1] 0.050 0.354 -0.573 0.536 0.016 0.013 466.0 \n", - "b[2] -0.197 0.398 -0.816 0.321 0.018 0.018 465.0 \n", - "log_sigma -1.184 0.483 -1.929 -0.454 0.030 0.022 253.0 \n", + "a 0.547 0.324 0.102 1.053 0.014 0.013 518.0 \n", + "b[0] 0.413 0.437 -0.306 1.054 0.021 0.015 453.0 \n", + "b[1] 0.039 0.406 -0.585 0.637 0.019 0.019 463.0 \n", + "b[2] -0.213 0.398 -0.802 0.435 0.019 0.015 426.0 \n", + "log_sigma -1.151 0.444 -1.817 -0.467 0.028 0.020 243.0 \n", "\n", " ess_sd ess_bulk ess_tail r_hat \n", - "a 519.0 541.0 700.0 1.00 \n", - "b[0] 318.0 440.0 500.0 1.01 \n", - "b[1] 376.0 457.0 546.0 1.00 \n", - "b[2] 254.0 380.0 436.0 1.01 \n", - "log_sigma 244.0 243.0 252.0 1.02 " + "a 317.0 551.0 419.0 1.00 \n", + "b[0] 453.0 473.0 421.0 1.01 \n", + "b[1] 239.0 520.0 367.0 1.00 \n", + "b[2] 366.0 447.0 339.0 1.01 \n", + "log_sigma 243.0 285.0 367.0 1.00 " ] }, - "execution_count": 168, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -781,7 +780,7 @@ }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -792,9 +791,11 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 58 divergences: 100%|██████████| 4000/4000 [00:18<00:00, 217.52draws/s]\n", - "There were 18 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "There were 40 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "Sampling 2 chains, 174 divergences: 100%|██████████| 4000/4000 [00:18<00:00, 212.80draws/s]\n", + "There were 58 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.6934040929019497, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "There were 116 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.5859251385590197, but should be close to 0.8. Try to increase the number of tuning steps.\n", "The estimated number of effective samples is smaller than 200 for some parameters.\n" ] }, @@ -835,87 +836,87 @@ " \n", " \n", " a\n", - " 0.738\n", - " 0.532\n", - " -0.024\n", - " 1.638\n", - " 0.028\n", - " 0.020\n", - " 367.0\n", - " 367.0\n", - " 361.0\n", - " 511.0\n", - " 1.00\n", + " 0.663\n", + " 0.590\n", + " -0.148\n", + " 1.677\n", + " 0.052\n", + " 0.037\n", + " 129.0\n", + " 129.0\n", + " 124.0\n", + " 349.0\n", + " 1.03\n", " \n", " \n", " b[0]\n", - " 0.727\n", - " 0.814\n", - " -0.465\n", - " 1.906\n", - " 0.040\n", - " 0.033\n", - " 408.0\n", - " 311.0\n", - " 379.0\n", - " 637.0\n", - " 1.00\n", + " 0.671\n", + " 0.970\n", + " -0.576\n", + " 2.171\n", + " 0.070\n", + " 0.050\n", + " 191.0\n", + " 191.0\n", + " 172.0\n", + " 396.0\n", + " 1.02\n", " \n", " \n", " b[1]\n", - " -0.625\n", - " 1.511\n", - " -3.035\n", - " 1.669\n", - " 0.082\n", - " 0.060\n", - " 336.0\n", - " 318.0\n", - " 327.0\n", - " 404.0\n", - " 1.00\n", + " -0.432\n", + " 1.732\n", + " -3.263\n", + " 1.892\n", + " 0.138\n", + " 0.098\n", + " 157.0\n", + " 157.0\n", + " 154.0\n", + " 332.0\n", + " 1.03\n", " \n", " \n", " b[2]\n", - " -0.611\n", - " 0.959\n", - " -2.043\n", - " 0.865\n", - " 0.049\n", - " 0.042\n", - " 378.0\n", - " 263.0\n", - " 353.0\n", - " 462.0\n", - " 1.00\n", + " -0.544\n", + " 1.154\n", + " -2.255\n", + " 0.960\n", + " 0.085\n", + " 0.060\n", + " 184.0\n", + " 184.0\n", + " 167.0\n", + " 373.0\n", + " 1.02\n", " \n", " \n", " b[3]\n", - " 0.459\n", - " 1.003\n", - " -1.110\n", - " 2.003\n", - " 0.054\n", - " 0.047\n", - " 341.0\n", - " 231.0\n", - " 324.0\n", - " 318.0\n", - " 1.00\n", + " 0.354\n", + " 1.173\n", + " -1.310\n", + " 2.079\n", + " 0.091\n", + " 0.064\n", + " 166.0\n", + " 166.0\n", + " 160.0\n", + " 406.0\n", + " 1.03\n", " \n", " \n", " log_sigma\n", - " -1.056\n", - " 0.488\n", - " -1.829\n", - " -0.324\n", - " 0.034\n", - " 0.025\n", - " 211.0\n", - " 195.0\n", - " 192.0\n", - " 137.0\n", - " 1.01\n", + " -0.968\n", + " 0.445\n", + " -1.521\n", + " -0.139\n", + " 0.050\n", + " 0.048\n", + " 79.0\n", + " 43.0\n", + " 54.0\n", + " 11.0\n", + " 1.04\n", " \n", " \n", "\n", @@ -923,23 +924,23 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.738 0.532 -0.024 1.638 0.028 0.020 367.0 \n", - "b[0] 0.727 0.814 -0.465 1.906 0.040 0.033 408.0 \n", - "b[1] -0.625 1.511 -3.035 1.669 0.082 0.060 336.0 \n", - "b[2] -0.611 0.959 -2.043 0.865 0.049 0.042 378.0 \n", - "b[3] 0.459 1.003 -1.110 2.003 0.054 0.047 341.0 \n", - "log_sigma -1.056 0.488 -1.829 -0.324 0.034 0.025 211.0 \n", + "a 0.663 0.590 -0.148 1.677 0.052 0.037 129.0 \n", + "b[0] 0.671 0.970 -0.576 2.171 0.070 0.050 191.0 \n", + "b[1] -0.432 1.732 -3.263 1.892 0.138 0.098 157.0 \n", + "b[2] -0.544 1.154 -2.255 0.960 0.085 0.060 184.0 \n", + "b[3] 0.354 1.173 -1.310 2.079 0.091 0.064 166.0 \n", + "log_sigma -0.968 0.445 -1.521 -0.139 0.050 0.048 79.0 \n", "\n", " ess_sd ess_bulk ess_tail r_hat \n", - "a 367.0 361.0 511.0 1.00 \n", - "b[0] 311.0 379.0 637.0 1.00 \n", - "b[1] 318.0 327.0 404.0 1.00 \n", - "b[2] 263.0 353.0 462.0 1.00 \n", - "b[3] 231.0 324.0 318.0 1.00 \n", - "log_sigma 195.0 192.0 137.0 1.01 " + "a 129.0 124.0 349.0 1.03 \n", + "b[0] 191.0 172.0 396.0 1.02 \n", + "b[1] 157.0 154.0 332.0 1.03 \n", + "b[2] 184.0 167.0 373.0 1.02 \n", + "b[3] 166.0 160.0 406.0 1.03 \n", + "log_sigma 43.0 54.0 11.0 1.04 " ] }, - "execution_count": 171, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -964,7 +965,7 @@ }, { "cell_type": "code", - "execution_count": 173, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -975,11 +976,12 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 191 divergences: 100%|██████████| 4000/4000 [00:37<00:00, 107.52draws/s]\n", - "There were 98 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.68729093995265, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "There were 93 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.7145733000557034, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "Sampling 2 chains, 253 divergences: 100%|██████████| 4000/4000 [00:42<00:00, 94.00draws/s] \n", + "There were 136 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.6363948925556997, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "There were 117 divergences after tuning. Increase `target_accept` or reparameterize.\n", + "The acceptance probability does not match the target. It is 0.659312036556992, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "The rhat statistic is larger than 1.05 for some parameters. This indicates slight problems during sampling.\n", "The estimated number of effective samples is smaller than 200 for some parameters.\n" ] }, @@ -1020,101 +1022,101 @@ " \n", " \n", " a\n", - " 0.660\n", - " 0.741\n", - " -0.516\n", - " 1.807\n", - " 0.040\n", - " 0.028\n", - " 351.0\n", - " 351.0\n", - " 349.0\n", - " 444.0\n", + " 0.747\n", + " 0.649\n", + " -0.439\n", + " 1.600\n", + " 0.066\n", + " 0.046\n", + " 98.0\n", + " 98.0\n", + " 111.0\n", + " 208.0\n", " 1.02\n", " \n", " \n", " b[0]\n", - " 1.173\n", - " 2.093\n", - " -1.814\n", - " 4.332\n", - " 0.101\n", - " 0.072\n", - " 427.0\n", - " 427.0\n", - " 390.0\n", - " 381.0\n", - " 1.00\n", + " 1.230\n", + " 1.695\n", + " -1.400\n", + " 3.643\n", + " 0.125\n", + " 0.089\n", + " 183.0\n", + " 183.0\n", + " 185.0\n", + " 278.0\n", + " 1.02\n", " \n", " \n", " b[1]\n", - " -0.083\n", - " 2.334\n", - " -3.584\n", - " 3.771\n", - " 0.125\n", - " 0.103\n", - " 350.0\n", - " 257.0\n", - " 360.0\n", - " 710.0\n", - " 1.02\n", + " -0.284\n", + " 2.076\n", + " -2.872\n", + " 3.353\n", + " 0.180\n", + " 0.128\n", + " 133.0\n", + " 133.0\n", + " 135.0\n", + " 386.0\n", + " 1.03\n", " \n", " \n", " b[2]\n", - " -1.804\n", - " 4.337\n", - " -8.198\n", - " 4.948\n", - " 0.223\n", - " 0.158\n", - " 379.0\n", - " 379.0\n", - " 352.0\n", - " 370.0\n", - " 1.01\n", + " -1.842\n", + " 3.517\n", + " -6.909\n", + " 3.722\n", + " 0.250\n", + " 0.184\n", + " 198.0\n", + " 184.0\n", + " 206.0\n", + " 231.0\n", + " 1.03\n", " \n", " \n", " b[3]\n", - " -0.092\n", - " 2.001\n", - " -3.099\n", - " 3.022\n", - " 0.105\n", - " 0.074\n", - " 364.0\n", - " 364.0\n", - " 364.0\n", - " 487.0\n", - " 1.01\n", + " 0.028\n", + " 1.723\n", + " -2.672\n", + " 2.312\n", + " 0.118\n", + " 0.084\n", + " 212.0\n", + " 212.0\n", + " 192.0\n", + " 442.0\n", + " 1.02\n", " \n", " \n", " b[4]\n", - " 0.691\n", - " 2.240\n", - " -2.574\n", - " 4.257\n", - " 0.118\n", - " 0.084\n", - " 360.0\n", - " 360.0\n", - " 345.0\n", - " 585.0\n", - " 1.01\n", + " 0.674\n", + " 1.824\n", + " -1.977\n", + " 3.416\n", + " 0.120\n", + " 0.096\n", + " 230.0\n", + " 179.0\n", + " 233.0\n", + " 250.0\n", + " 1.04\n", " \n", " \n", " log_sigma\n", - " -0.553\n", - " 0.446\n", - " -1.184\n", - " 0.038\n", - " 0.029\n", - " 0.023\n", - " 232.0\n", - " 197.0\n", - " 184.0\n", - " 127.0\n", - " 1.02\n", + " -0.922\n", + " 0.590\n", + " -1.849\n", + " -0.136\n", + " 0.155\n", + " 0.144\n", + " 14.0\n", + " 9.0\n", + " 13.0\n", + " 41.0\n", + " 1.15\n", " \n", " \n", "\n", @@ -1122,25 +1124,25 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.660 0.741 -0.516 1.807 0.040 0.028 351.0 \n", - "b[0] 1.173 2.093 -1.814 4.332 0.101 0.072 427.0 \n", - "b[1] -0.083 2.334 -3.584 3.771 0.125 0.103 350.0 \n", - "b[2] -1.804 4.337 -8.198 4.948 0.223 0.158 379.0 \n", - "b[3] -0.092 2.001 -3.099 3.022 0.105 0.074 364.0 \n", - "b[4] 0.691 2.240 -2.574 4.257 0.118 0.084 360.0 \n", - "log_sigma -0.553 0.446 -1.184 0.038 0.029 0.023 232.0 \n", + "a 0.747 0.649 -0.439 1.600 0.066 0.046 98.0 \n", + "b[0] 1.230 1.695 -1.400 3.643 0.125 0.089 183.0 \n", + "b[1] -0.284 2.076 -2.872 3.353 0.180 0.128 133.0 \n", + "b[2] -1.842 3.517 -6.909 3.722 0.250 0.184 198.0 \n", + "b[3] 0.028 1.723 -2.672 2.312 0.118 0.084 212.0 \n", + "b[4] 0.674 1.824 -1.977 3.416 0.120 0.096 230.0 \n", + "log_sigma -0.922 0.590 -1.849 -0.136 0.155 0.144 14.0 \n", "\n", " ess_sd ess_bulk ess_tail r_hat \n", - "a 351.0 349.0 444.0 1.02 \n", - "b[0] 427.0 390.0 381.0 1.00 \n", - "b[1] 257.0 360.0 710.0 1.02 \n", - "b[2] 379.0 352.0 370.0 1.01 \n", - "b[3] 364.0 364.0 487.0 1.01 \n", - "b[4] 360.0 345.0 585.0 1.01 \n", - "log_sigma 197.0 184.0 127.0 1.02 " + "a 98.0 111.0 208.0 1.02 \n", + "b[0] 183.0 185.0 278.0 1.02 \n", + "b[1] 133.0 135.0 386.0 1.03 \n", + "b[2] 184.0 206.0 231.0 1.03 \n", + "b[3] 212.0 192.0 442.0 1.02 \n", + "b[4] 179.0 233.0 250.0 1.04 \n", + "log_sigma 9.0 13.0 41.0 1.15 " ] }, - "execution_count": 173, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1173,7 +1175,7 @@ }, { "cell_type": "code", - "execution_count": 284, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1184,12 +1186,11 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [b, a]\n", - "Sampling 2 chains, 999 divergences: 100%|██████████| 4000/4000 [01:41<00:00, 39.50draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 4000/4000 [02:20<00:00, 28.54draws/s]\n", + "The acceptance probability does not match the target. It is 0.8875169157017125, but should be close to 0.8. Try to increase the number of tuning steps.\n", "The chain reached the maximum tree depth. Increase max_treedepth, increase target_accept or reparameterize.\n", - "The chain contains only diverging samples. The model is probably misspecified.\n", - "The acceptance probability does not match the target. It is 4.146927712505e-311, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "The rhat statistic is larger than 1.4 for some parameters. The sampler did not converge.\n", - "The estimated number of effective samples is smaller than 200 for some parameters.\n" + "The chain reached the maximum tree depth. Increase max_treedepth, increase target_accept or reparameterize.\n", + "The number of effective samples is smaller than 25% for some parameters.\n" ] }, { @@ -1229,101 +1230,101 @@ " \n", " \n", " a\n", - " 0.901\n", - " 0.394\n", - " 0.501\n", - " 1.294\n", - " 0.277\n", - " 0.234\n", - " 2.0\n", - " 2.0\n", - " 3.0\n", - " 174.0\n", - " 2.23\n", + " 0.506\n", + " 0.008\n", + " 0.493\n", + " 0.517\n", + " 0.001\n", + " 0.000\n", + " 214.0\n", + " 214.0\n", + " 213.0\n", + " 218.0\n", + " 1.01\n", " \n", " \n", " b[0]\n", - " 0.877\n", - " 0.011\n", - " 0.863\n", - " 0.896\n", - " 0.004\n", - " 0.003\n", - " 10.0\n", - " 10.0\n", - " 27.0\n", - " 164.0\n", - " 2.23\n", + " 0.880\n", + " 0.014\n", + " 0.856\n", + " 0.899\n", + " 0.001\n", + " 0.001\n", + " 221.0\n", + " 221.0\n", + " 220.0\n", + " 252.0\n", + " 1.01\n", " \n", " \n", " b[1]\n", - " 0.926\n", - " 0.773\n", - " 0.154\n", - " 1.730\n", - " 0.544\n", - " 0.460\n", - " 2.0\n", - " 2.0\n", - " 3.0\n", - " 2.0\n", - " 2.23\n", + " 1.706\n", + " 0.038\n", + " 1.650\n", + " 1.771\n", + " 0.003\n", + " 0.002\n", + " 213.0\n", + " 212.0\n", + " 211.0\n", + " 236.0\n", + " 1.01\n", " \n", " \n", " b[2]\n", - " -0.133\n", - " 0.483\n", - " -0.643\n", - " 0.350\n", - " 0.340\n", - " 0.287\n", - " 2.0\n", - " 2.0\n", - " 3.0\n", - " 195.0\n", - " 2.23\n", + " -0.608\n", + " 0.036\n", + " -0.662\n", + " -0.549\n", + " 0.002\n", + " 0.002\n", + " 218.0\n", + " 218.0\n", + " 217.0\n", + " 238.0\n", + " 1.01\n", " \n", " \n", " b[3]\n", - " -3.473\n", - " 0.042\n", - " -3.545\n", - " -3.398\n", + " -3.483\n", + " 0.057\n", + " -3.583\n", + " -3.403\n", + " 0.004\n", " 0.003\n", - " 0.002\n", - " 191.0\n", - " 191.0\n", - " 216.0\n", - " 170.0\n", - " 2.23\n", + " 213.0\n", + " 213.0\n", + " 212.0\n", + " 239.0\n", + " 1.01\n", " \n", " \n", " b[4]\n", - " -0.885\n", - " 0.540\n", - " -1.425\n", - " -0.327\n", - " 0.380\n", - " 0.322\n", - " 2.0\n", - " 2.0\n", - " 3.0\n", - " 2.0\n", - " 2.23\n", + " -0.350\n", + " 0.023\n", + " -0.385\n", + " -0.312\n", + " 0.002\n", + " 0.001\n", + " 217.0\n", + " 216.0\n", + " 214.0\n", + " 246.0\n", + " 1.01\n", " \n", " \n", " b[5]\n", - " 1.979\n", - " 0.356\n", - " 1.603\n", - " 2.334\n", - " 0.250\n", - " 0.212\n", - " 2.0\n", - " 2.0\n", - " 3.0\n", - " 192.0\n", - " 2.23\n", + " 1.629\n", + " 0.026\n", + " 1.592\n", + " 1.674\n", + " 0.002\n", + " 0.001\n", + " 213.0\n", + " 213.0\n", + " 213.0\n", + " 281.0\n", + " 1.01\n", " \n", " \n", "\n", @@ -1331,25 +1332,25 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a 0.901 0.394 0.501 1.294 0.277 0.234 2.0 2.0 \n", - "b[0] 0.877 0.011 0.863 0.896 0.004 0.003 10.0 10.0 \n", - "b[1] 0.926 0.773 0.154 1.730 0.544 0.460 2.0 2.0 \n", - "b[2] -0.133 0.483 -0.643 0.350 0.340 0.287 2.0 2.0 \n", - "b[3] -3.473 0.042 -3.545 -3.398 0.003 0.002 191.0 191.0 \n", - "b[4] -0.885 0.540 -1.425 -0.327 0.380 0.322 2.0 2.0 \n", - "b[5] 1.979 0.356 1.603 2.334 0.250 0.212 2.0 2.0 \n", + "a 0.506 0.008 0.493 0.517 0.001 0.000 214.0 214.0 \n", + "b[0] 0.880 0.014 0.856 0.899 0.001 0.001 221.0 221.0 \n", + "b[1] 1.706 0.038 1.650 1.771 0.003 0.002 213.0 212.0 \n", + "b[2] -0.608 0.036 -0.662 -0.549 0.002 0.002 218.0 218.0 \n", + "b[3] -3.483 0.057 -3.583 -3.403 0.004 0.003 213.0 213.0 \n", + "b[4] -0.350 0.023 -0.385 -0.312 0.002 0.001 217.0 216.0 \n", + "b[5] 1.629 0.026 1.592 1.674 0.002 0.001 213.0 213.0 \n", "\n", " ess_bulk ess_tail r_hat \n", - "a 3.0 174.0 2.23 \n", - "b[0] 27.0 164.0 2.23 \n", - "b[1] 3.0 2.0 2.23 \n", - "b[2] 3.0 195.0 2.23 \n", - "b[3] 216.0 170.0 2.23 \n", - "b[4] 3.0 2.0 2.23 \n", - "b[5] 3.0 192.0 2.23 " + "a 213.0 218.0 1.01 \n", + "b[0] 220.0 252.0 1.01 \n", + "b[1] 211.0 236.0 1.01 \n", + "b[2] 217.0 238.0 1.01 \n", + "b[3] 212.0 239.0 1.01 \n", + "b[4] 214.0 246.0 1.01 \n", + "b[5] 213.0 281.0 1.01 " ] }, - "execution_count": 284, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1388,24 +1389,24 @@ }, { "cell_type": "code", - "execution_count": 197, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 2000/2000 [00:04<00:00, 450.45it/s]\n", - "100%|██████████| 2000/2000 [00:04<00:00, 419.53it/s]\n", - "100%|██████████| 2000/2000 [00:05<00:00, 335.81it/s]\n", - "100%|██████████| 2000/2000 [00:05<00:00, 381.01it/s]\n", - "100%|██████████| 2000/2000 [00:04<00:00, 415.81it/s]\n", - "100%|██████████| 2000/2000 [00:03<00:00, 529.35it/s]\n" + "100%|██████████| 2000/2000 [00:05<00:00, 373.70it/s]\n", + "100%|██████████| 2000/2000 [00:05<00:00, 354.89it/s]\n", + "100%|██████████| 2000/2000 [00:06<00:00, 316.50it/s]\n", + "100%|██████████| 2000/2000 [00:06<00:00, 332.28it/s]\n", + "100%|██████████| 2000/2000 [00:07<00:00, 252.50it/s]\n", + "100%|██████████| 2000/2000 [00:09<00:00, 209.71it/s]\n" ] }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1449,7 +1450,7 @@ }, { "cell_type": "code", - "execution_count": 303, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1508,7 +1509,7 @@ }, { "cell_type": "code", - "execution_count": 305, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -1524,7 +1525,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1533,7 +1534,7 @@ "0.6108643020548935" ] }, - "execution_count": 134, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1545,7 +1546,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1554,7 +1555,7 @@ "Text(0.315, 1.22, 'q = p')" ] }, - "execution_count": 135, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, @@ -1591,7 +1592,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -1600,24 +1601,24 @@ }, { "cell_type": "code", - "execution_count": 245, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 3000/3000 [00:03<00:00, 880.27it/s]\n" + "100%|██████████| 3000/3000 [00:03<00:00, 777.58it/s]\n" ] }, { "data": { "text/plain": [ - "array([ 0.10285421, 0.10147813, 0.0734532 , 0.11715719, 0.03949729,\n", - " -0.01926021, -0.49054952])" + "array([ 0.13441005, 0.12393539, 0.07522894, 0.13329529, 0.05264047,\n", + " 0.01941231, -0.49745341])" ] }, - "execution_count": 245, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1653,32 +1654,6 @@ "These values are all lower than the book. Presumably this is because our credible interval is so much wider?" ] }, - { - "cell_type": "code", - "execution_count": 246, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# sanity check: plotting the predictions coloured by lppd\n", - "plt.scatter(brains.mass_std, np.mean(p_brain_std, 0), c=lppd, cmap=plt.cm.Reds_r, edgecolors='k')\n", - "plt.scatter(brains.mass_std, brains.brain_std)\n", - "\n", - "for i, (mass, brain, pbrain, ilppd) in enumerate(zip(brains.mass_std, brains.brain_std, np.mean(p_brain_std, 0), lppd)):\n", - " plt.annotate(f'{ilppd:.2f}', (mass + 0.03, (pbrain + brain) / 2), va='center')\n", - " plt.plot([mass, mass], [brain, pbrain], ls='dashed', zorder=-2, c=(0,0,0,0.4))" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1688,7 +1663,7 @@ }, { "cell_type": "code", - "execution_count": 285, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1697,7 +1672,7 @@ "[a, b]" ] }, - "execution_count": 285, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1708,7 +1683,7 @@ }, { "cell_type": "code", - "execution_count": 286, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -1740,29 +1715,31 @@ }, { "cell_type": "code", - "execution_count": 296, + "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [00:01<00:00, 866.72it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 921.93it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 711.11it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 900.56it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 891.00it/s]\n", - "100%|██████████| 1000/1000 [00:00<00:00, 1173.12it/s]\n" + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pymc3/sampling.py:1247: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n", + " \"samples parameter is smaller than nchains times ndraws, some draws \"\n", + "100%|██████████| 1000/1000 [00:01<00:00, 743.61it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 721.91it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 643.96it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 621.89it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 648.67it/s]\n", + "100%|██████████| 1000/1000 [00:01<00:00, 515.61it/s]\n" ] }, { "data": { "text/plain": [ - "array([ 1.02330063e+00, 1.33513810e+00, -2.98818210e-02, -1.49244899e+00,\n", - " -9.00184731e+00, 3.81378790e+01])" + "array([ 2.03540585, 0.84443281, 1.01746652, -8.08583455, 0.70023777,\n", + " 38.11195674])" ] }, - "execution_count": 296, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1786,7 +1763,7 @@ }, { "cell_type": "code", - "execution_count": 306, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -1834,7 +1811,7 @@ }, { "cell_type": "code", - "execution_count": 307, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1852,52 +1829,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 804.91draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 739.70draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 717.62draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 648.01draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 635.72draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 785.42draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 688.01draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 672.84draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 880.02draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 763.54draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 726.00draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 660.59draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 771.70draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 787.59draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 725.15draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 768.17draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 822.25draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 686.72draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 809.24draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 658.31draws/s]\n" ] }, { @@ -1915,52 +1892,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 600.94draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 766.26draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 814.15draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 764.49draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 746.54draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 629.74draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 847.09draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 671.55draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 922.82draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 539.05draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 923.64draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 681.15draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 645.91draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 568.13draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 592.33draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 559.81draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 675.56draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 589.33draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 830.12draws/s] \n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 592.68draws/s]\n" ] }, { @@ -1978,52 +1955,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 825.55draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 474.50draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 768.90draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 426.33draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 622.28draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 613.59draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 609.42draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 548.19draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 794.57draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 646.11draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 661.12draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:05<00:00, 382.20draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 777.93draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 434.98draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 769.53draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 498.44draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 744.80draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 622.83draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 656.43draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 473.50draws/s]\n" ] }, { @@ -2041,52 +2018,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 587.68draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 627.04draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 840.23draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 558.55draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 880.38draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 529.09draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 900.26draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 599.22draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 821.45draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 510.19draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 913.85draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 576.92draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 889.20draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 583.28draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 852.95draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 608.55draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 787.58draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 572.52draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 753.84draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 524.40draws/s]\n" ] }, { @@ -2104,52 +2081,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 820.56draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 589.14draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 799.46draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 590.95draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 808.83draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 422.42draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 770.90draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 576.52draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 794.18draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 603.44draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 671.90draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 687.30draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 607.80draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 782.52draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 689.48draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 743.37draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 718.25draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 745.27draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 726.22draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 820.11draws/s]\n" ] } ], @@ -2179,11 +2156,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ - "# multiprocessing version? must be able to do this with PyMC3" + "# multithreading is automatic in PyMC3?" ] }, { @@ -2195,12 +2172,12 @@ }, { "cell_type": "code", - "execution_count": 308, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -2255,7 +2232,7 @@ }, { "cell_type": "code", - "execution_count": 312, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -2264,7 +2241,7 @@ }, { "cell_type": "code", - "execution_count": 314, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -2275,8 +2252,8 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:40<00:00, 747.41draws/s]\n", - "The acceptance probability does not match the target. It is 0.879005080495801, but should be close to 0.8. Try to increase the number of tuning steps.\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:40<00:00, 745.77draws/s]\n", + "The acceptance probability does not match the target. It is 0.6942847930376241, but should be close to 0.8. Try to increase the number of tuning steps.\n" ] } ], @@ -2299,7 +2276,7 @@ }, { "cell_type": "code", - "execution_count": 315, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -2322,7 +2299,7 @@ }, { "cell_type": "code", - "execution_count": 321, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -2341,7 +2318,7 @@ }, { "cell_type": "code", - "execution_count": 323, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -2359,16 +2336,16 @@ }, { "cell_type": "code", - "execution_count": 324, + "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "412.260042568718" + "412.29893684136545" ] }, - "execution_count": 324, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -2386,16 +2363,16 @@ }, { "cell_type": "code", - "execution_count": 325, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "14.996077348439982" + "15.096309174348482" ] }, - "execution_count": 325, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -2416,7 +2393,7 @@ }, { "cell_type": "code", - "execution_count": 327, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -2427,19 +2404,19 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, p]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1519.38draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1208.33draws/s]\n", + "The acceptance probability does not match the target. It is 0.8837999701289947, but should be close to 0.8. Try to increase the number of tuning steps.\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bf, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 615.39draws/s]\n", - "The acceptance probability does not match the target. It is 0.9045666582832725, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 766.30draws/s]\n", + "The acceptance probability does not match the target. It is 0.8894395987077259, but should be close to 0.8. Try to increase the number of tuning steps.\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 686.39draws/s]\n", - "The acceptance probability does not match the target. It is 0.8786160790042132, but should be close to 0.8. Try to increase the number of tuning steps.\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 943.31draws/s] \n" ] } ], @@ -2507,7 +2484,7 @@ }, { "cell_type": "code", - "execution_count": 333, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -2516,11 +2493,11 @@ "Computed from 1000 by 100 log-likelihood matrix\n", "\n", " Estimate SE\n", - "deviance_waic 345.65 14.74\n", - "p_waic 3.96 -" + "deviance_waic 352.97 12.08\n", + "p_waic 3.18 -" ] }, - "execution_count": 333, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -2538,18 +2515,9 @@ }, { "cell_type": "code", - "execution_count": 338, + "execution_count": 39, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", - "See http://arxiv.org/abs/1507.04544 for details\n", - " \"For one or more samples the posterior variance of the log predictive \"\n" - ] - }, { "data": { "text/html": [ @@ -2586,11 +2554,11 @@ " \n", " m_6_7\n", " 0\n", - " 345.648\n", - " 3.95785\n", + " 352.974\n", + " 3.17921\n", " 0\n", " 1\n", - " 14.7362\n", + " 12.0838\n", " 0\n", " False\n", " deviance\n", @@ -2598,24 +2566,24 @@ " \n", " m_6_8\n", " 1\n", - " 417.125\n", - " 3.03548\n", - " 71.4776\n", - " 3.01194e-16\n", - " 15.7901\n", - " 12.5778\n", - " True\n", + " 410.961\n", + " 2.53352\n", + " 57.9877\n", + " 2.55932e-13\n", + " 11.7274\n", + " 10.1445\n", + " False\n", " deviance\n", " \n", " \n", " m_6_6\n", " 2\n", - " 441.176\n", - " 1.78647\n", - " 95.5283\n", - " 1.80427e-21\n", - " 11.4788\n", - " 12.1305\n", + " 413.79\n", + " 1.78948\n", + " 60.8167\n", + " 6.22048e-14\n", + " 11.7148\n", + " 11.2553\n", " False\n", " deviance\n", " \n", @@ -2625,9 +2593,9 @@ ], "text/plain": [ " rank waic p_waic d_waic weight se dse warning \\\n", - "m_6_7 0 345.648 3.95785 0 1 14.7362 0 False \n", - "m_6_8 1 417.125 3.03548 71.4776 3.01194e-16 15.7901 12.5778 True \n", - "m_6_6 2 441.176 1.78647 95.5283 1.80427e-21 11.4788 12.1305 False \n", + "m_6_7 0 352.974 3.17921 0 1 12.0838 0 False \n", + "m_6_8 1 410.961 2.53352 57.9877 2.55932e-13 11.7274 10.1445 False \n", + "m_6_6 2 413.79 1.78948 60.8167 6.22048e-14 11.7148 11.2553 False \n", "\n", " waic_scale \n", "m_6_7 deviance \n", @@ -2635,7 +2603,7 @@ "m_6_6 deviance " ] }, - "execution_count": 338, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2662,16 +2630,16 @@ }, { "cell_type": "code", - "execution_count": 361, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "-71.47755426733613" + "-57.987728303370034" ] }, - "execution_count": 361, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -2692,7 +2660,7 @@ }, { "cell_type": "code", - "execution_count": 340, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -2701,7 +2669,7 @@ "array([12.96, 67.04])" ] }, - "execution_count": 340, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -2719,22 +2687,22 @@ }, { "cell_type": "code", - "execution_count": 339, + "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 339, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -2758,7 +2726,7 @@ }, { "cell_type": "code", - "execution_count": 377, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -2767,7 +2735,7 @@ "0.0" ] }, - "execution_count": 377, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -2793,19 +2761,9 @@ }, { "cell_type": "code", - "execution_count": 395, + "execution_count": 44, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", - "See http://arxiv.org/abs/1507.04544 for details\n", - " \"For one or more samples the posterior variance of the log predictive \"\n" - ] - } - ], + "outputs": [], "source": [ "ms = {'m_6_6' : m_6_6_trace,\n", " 'm_6_7' : m_6_7_trace,\n", @@ -2825,7 +2783,7 @@ }, { "cell_type": "code", - "execution_count": 397, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -2858,19 +2816,19 @@ " \n", " m_6_6\n", " NaN\n", - " 12.1305\n", - " 11.6\n", + " 11.2553\n", + " 6.20414\n", " \n", " \n", " m_6_7\n", - " 12.1305\n", + " 11.2553\n", " NaN\n", - " 12.5778\n", + " 10.1445\n", " \n", " \n", " m_6_8\n", - " 11.6\n", - " 12.5778\n", + " 6.20414\n", + " 10.1445\n", " NaN\n", " \n", " \n", @@ -2879,12 +2837,12 @@ ], "text/plain": [ " m_6_6 m_6_7 m_6_8\n", - "m_6_6 NaN 12.1305 11.6\n", - "m_6_7 12.1305 NaN 12.5778\n", - "m_6_8 11.6 12.5778 NaN" + "m_6_6 NaN 11.2553 6.20414\n", + "m_6_7 11.2553 NaN 10.1445\n", + "m_6_8 6.20414 10.1445 NaN" ] }, - "execution_count": 397, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -2903,7 +2861,7 @@ }, { "cell_type": "code", - "execution_count": 405, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -2919,7 +2877,7 @@ }, { "cell_type": "code", - "execution_count": 407, + "execution_count": 47, "metadata": {}, "outputs": [], "source": [ @@ -2940,7 +2898,7 @@ }, { "cell_type": "code", - "execution_count": 420, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -2952,7 +2910,7 @@ "dtype: int64" ] }, - "execution_count": 420, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -2970,7 +2928,7 @@ }, { "cell_type": "code", - "execution_count": 425, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -2979,7 +2937,7 @@ "(112, 19)" ] }, - "execution_count": 425, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -2999,7 +2957,7 @@ }, { "cell_type": "code", - "execution_count": 426, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -3010,7 +2968,8 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bB, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 560.20draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 464.21draws/s]\n", + "The acceptance probability does not match the target. It is 0.8914651944965659, but should be close to 0.8. Try to increase the number of tuning steps.\n" ] } ], @@ -3037,7 +2996,7 @@ }, { "cell_type": "code", - "execution_count": 428, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -3048,7 +3007,8 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bB, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1312.15draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1114.66draws/s]\n", + "The acceptance probability does not match the target. It is 0.8804053652072463, but should be close to 0.8. Try to increase the number of tuning steps.\n" ] } ], @@ -3067,7 +3027,7 @@ }, { "cell_type": "code", - "execution_count": 427, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -3078,7 +3038,7 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1107.98draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.03draws/s]\n" ] } ], @@ -3104,7 +3064,7 @@ }, { "cell_type": "code", - "execution_count": 429, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -3141,38 +3101,38 @@ " \n", " \n", " \n", - " m_7_8\n", + " m_7_9\n", " 0\n", - " 217.255\n", - " 3.38339\n", + " 217.102\n", + " 2.3517\n", " 0\n", - " 0.541029\n", - " 14.1039\n", + " 0.519302\n", + " 14.1783\n", " 0\n", " False\n", " deviance\n", " \n", " \n", - " m_7_9\n", + " m_7_8\n", " 1\n", - " 217.587\n", - " 2.60312\n", - " 0.331778\n", - " 0.458328\n", - " 14.3074\n", - " 1.33064\n", + " 217.259\n", + " 3.2983\n", + " 0.157101\n", + " 0.480072\n", + " 13.9811\n", + " 1.23797\n", " False\n", " deviance\n", " \n", " \n", " m_7_10\n", " 2\n", - " 230.726\n", - " 2.55833\n", - " 13.4706\n", - " 0.000642854\n", - " 15.6938\n", - " 6.63304\n", + " 230.543\n", + " 2.48639\n", + " 13.4409\n", + " 0.000626269\n", + " 15.7009\n", + " 5.42153\n", " False\n", " deviance\n", " \n", @@ -3182,17 +3142,17 @@ ], "text/plain": [ " rank waic p_waic d_waic weight se dse \\\n", - "m_7_8 0 217.255 3.38339 0 0.541029 14.1039 0 \n", - "m_7_9 1 217.587 2.60312 0.331778 0.458328 14.3074 1.33064 \n", - "m_7_10 2 230.726 2.55833 13.4706 0.000642854 15.6938 6.63304 \n", + "m_7_9 0 217.102 2.3517 0 0.519302 14.1783 0 \n", + "m_7_8 1 217.259 3.2983 0.157101 0.480072 13.9811 1.23797 \n", + "m_7_10 2 230.543 2.48639 13.4409 0.000626269 15.7009 5.42153 \n", "\n", " warning waic_scale \n", - "m_7_8 False deviance \n", "m_7_9 False deviance \n", + "m_7_8 False deviance \n", "m_7_10 False deviance " ] }, - "execution_count": 429, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -3213,22 +3173,22 @@ }, { "cell_type": "code", - "execution_count": 430, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 430, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -3250,23 +3210,23 @@ }, { "cell_type": "code", - "execution_count": 435, + "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([],\n", + "array([],\n", " dtype=object)" ] }, - "execution_count": 435, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -3289,7 +3249,7 @@ }, { "cell_type": "code", - "execution_count": 437, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -3299,7 +3259,7 @@ " [0.97962718, 1. ]])" ] }, - "execution_count": 437, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -3310,12 +3270,12 @@ }, { "cell_type": "code", - "execution_count": 453, + "execution_count": 57, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -3349,7 +3309,7 @@ }, { "cell_type": "code", - "execution_count": 463, + "execution_count": 58, "metadata": {}, "outputs": [], "source": [ @@ -3367,7 +3327,7 @@ }, { "cell_type": "code", - "execution_count": 464, + "execution_count": 59, "metadata": {}, "outputs": [], "source": [ @@ -3388,7 +3348,7 @@ }, { "cell_type": "code", - "execution_count": 467, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -3399,7 +3359,7 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bL, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:02<00:00, 1134.25draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:02<00:00, 1022.36draws/s]\n" ] }, { @@ -3444,54 +3404,54 @@ " -0.081\n", " -0.009\n", " 0.001\n", - " 0.001\n", - " 649.0\n", + " 0.000\n", + " 830.0\n", + " 806.0\n", + " 827.0\n", " 640.0\n", - " 645.0\n", - " 648.0\n", - " 1.0\n", + " 1.00\n", " \n", " \n", " bM\n", - " 0.940\n", + " 0.938\n", " 0.028\n", - " 0.891\n", - " 0.992\n", + " 0.882\n", + " 0.988\n", " 0.001\n", " 0.001\n", - " 507.0\n", - " 507.0\n", - " 504.0\n", - " 574.0\n", - " 1.0\n", + " 719.0\n", + " 719.0\n", + " 707.0\n", + " 593.0\n", + " 1.00\n", " \n", " \n", " bL\n", - " 0.114\n", - " 0.029\n", - " 0.057\n", - " 0.167\n", + " 0.116\n", + " 0.030\n", + " 0.063\n", + " 0.172\n", " 0.001\n", " 0.001\n", - " 505.0\n", - " 501.0\n", - " 506.0\n", - " 609.0\n", - " 1.0\n", + " 727.0\n", + " 700.0\n", + " 729.0\n", + " 696.0\n", + " 1.01\n", " \n", " \n", " sigma\n", - " 0.195\n", + " 0.196\n", " 0.014\n", - " 0.168\n", - " 0.221\n", - " 0.001\n", + " 0.173\n", + " 0.226\n", " 0.000\n", - " 649.0\n", - " 649.0\n", - " 626.0\n", - " 576.0\n", - " 1.0\n", + " 0.000\n", + " 814.0\n", + " 810.0\n", + " 818.0\n", + " 789.0\n", + " 1.00\n", " \n", " \n", "\n", @@ -3499,19 +3459,19 @@ ], "text/plain": [ " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a -0.045 0.019 -0.081 -0.009 0.001 0.001 649.0 640.0 \n", - "bM 0.940 0.028 0.891 0.992 0.001 0.001 507.0 507.0 \n", - "bL 0.114 0.029 0.057 0.167 0.001 0.001 505.0 501.0 \n", - "sigma 0.195 0.014 0.168 0.221 0.001 0.000 649.0 649.0 \n", + "a -0.045 0.019 -0.081 -0.009 0.001 0.000 830.0 806.0 \n", + "bM 0.938 0.028 0.882 0.988 0.001 0.001 719.0 719.0 \n", + "bL 0.116 0.030 0.063 0.172 0.001 0.001 727.0 700.0 \n", + "sigma 0.196 0.014 0.173 0.226 0.000 0.000 814.0 810.0 \n", "\n", " ess_bulk ess_tail r_hat \n", - "a 645.0 648.0 1.0 \n", - "bM 504.0 574.0 1.0 \n", - "bL 506.0 609.0 1.0 \n", - "sigma 626.0 576.0 1.0 " + "a 827.0 640.0 1.00 \n", + "bM 707.0 593.0 1.00 \n", + "bL 729.0 696.0 1.01 \n", + "sigma 818.0 789.0 1.00 " ] }, - "execution_count": 467, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } From f40b6eb02f81f8a789ed87c5b242b91c132734cc Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 18 May 2020 17:25:58 +0100 Subject: [PATCH 06/15] Progress towards #86. All but pairwise WAIC calculation done. Awaiting clarification from @aloctavodia. --- Rethinking_2/Chp_07.ipynb | 2524 +++++++++++-------------------------- 1 file changed, 760 insertions(+), 1764 deletions(-) diff --git a/Rethinking_2/Chp_07.ipynb b/Rethinking_2/Chp_07.ipynb index 12ff387..a330315 100644 --- a/Rethinking_2/Chp_07.ipynb +++ b/Rethinking_2/Chp_07.ipynb @@ -20,8 +20,10 @@ "import pandas as pd\n", "import pymc3 as pm\n", "from scipy import stats\n", + "from scipy.special import logsumexp\n", "import statsmodels.api as sm\n", - "import statsmodels.formula.api as smf " + "import statsmodels.formula.api as smf \n", + "from patsy import dmatrix" ] }, { @@ -32,6 +34,7 @@ "source": [ "%config Inline.figure_format = 'retina'\n", "az.style.use('arviz-darkgrid')\n", + "az.rcParams['stats.credible_interval'] = 0.89 # set credible interval for entire notebook\n", "np.random.seed(0)" ] }, @@ -46,13 +49,104 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
speciesbrainmass
0afarensis43837.0
1africanus45235.5
2habilis61234.5
3boisei52141.5
4rudolfensis75255.5
5ergaster87161.0
6sapiens135053.5
\n", + "
" + ], + "text/plain": [ + " species brain mass\n", + "0 afarensis 438 37.0\n", + "1 africanus 452 35.5\n", + "2 habilis 612 34.5\n", + "3 boisei 521 41.5\n", + "4 rudolfensis 752 55.5\n", + "5 ergaster 871 61.0\n", + "6 sapiens 1350 53.5" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "brains = pd.DataFrame.from_dict({\n", " 'species': [\"afarensis\",\"africanus\",\"habilis\",\"boisei\",\"rudolfensis\",\"ergaster\",\"sapiens\"],\n", " 'brain': [438 , 452 , 612, 521, 752, 871, 1350], # volume in cc\n", " 'mass': [37.0 , 35.5 , 34.5 , 41.5 , 55.5 , 61.0 , 53.5] # mass in kg\n", - "})" + "})\n", + "\n", + "brains" ] }, { @@ -122,7 +216,7 @@ "source": [ "#### Code 7.3\n", "\n", - "Note: in [Chapter 6 of 1st Edition](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb) (6.2 - 6.6) all these models were done using OLS through statsmodels. I've done them with MCMC here, but it produces significantly larger uncertainties in the fits, so produces quite different LPPD and WAIC numbers. **Should these be done with MCMC or OLS?**" + "This is modified from [Chapter 6 of 1st Edition](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb) (6.2 - 6.6)." ] }, { @@ -134,105 +228,98 @@ "name": "stderr", "output_type": "stream", "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 4000/4000 [00:03<00:00, 1138.42draws/s]\n", - "The acceptance probability does not match the target. It is 0.8824514061573785, but should be close to 0.8. Try to increase the number of tuning steps.\n" + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/statsmodels/stats/stattools.py:71: ValueWarning: omni_normtest is not valid with less than 8 observations; 7 samples were given.\n", + " \"samples were given.\" % int(n), ValueWarning)\n" ] }, { "data": { "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.5270.1070.3630.6770.0030.0021197.01116.01363.0912.01.0
b0.1700.125-0.0040.3530.0040.0031012.0748.01224.0788.01.0
log_sigma-1.4000.378-1.982-0.8310.0150.011613.0613.0665.0602.01.0
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", "
OLS Regression Results
Dep. Variable: brain_std R-squared: 0.490
Model: OLS Adj. R-squared: 0.388
Method: Least Squares F-statistic: 4.807
Date: Mon, 18 May 2020 Prob (F-statistic): 0.0798
Time: 17:18:10 Log-Likelihood: 2.9925
No. Observations: 7 AIC: -1.985
Df Residuals: 5 BIC: -2.093
Df Model: 1
Covariance Type: nonrobust
\n", - "
" + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 0.5287 0.071 7.492 0.001 0.347 0.710
mass_std 0.1671 0.076 2.192 0.080 -0.029 0.363
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: nan Durbin-Watson: 1.561
Prob(Omnibus): nan Jarque-Bera (JB): 2.372
Skew: 1.399 Prob(JB): 0.305
Kurtosis: 3.548 Cond. No. 1.08


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." ], "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.527 0.107 0.363 0.677 0.003 0.002 1197.0 \n", - "b 0.170 0.125 -0.004 0.353 0.004 0.003 1012.0 \n", - "log_sigma -1.400 0.378 -1.982 -0.831 0.015 0.011 613.0 \n", + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: brain_std R-squared: 0.490\n", + "Model: OLS Adj. R-squared: 0.388\n", + "Method: Least Squares F-statistic: 4.807\n", + "Date: Mon, 18 May 2020 Prob (F-statistic): 0.0798\n", + "Time: 17:18:10 Log-Likelihood: 2.9925\n", + "No. Observations: 7 AIC: -1.985\n", + "Df Residuals: 5 BIC: -2.093\n", + "Df Model: 1 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "Intercept 0.5287 0.071 7.492 0.001 0.347 0.710\n", + "mass_std 0.1671 0.076 2.192 0.080 -0.029 0.363\n", + "==============================================================================\n", + "Omnibus: nan Durbin-Watson: 1.561\n", + "Prob(Omnibus): nan Jarque-Bera (JB): 2.372\n", + "Skew: 1.399 Prob(JB): 0.305\n", + "Kurtosis: 3.548 Cond. No. 1.08\n", + "==============================================================================\n", "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 1116.0 1363.0 912.0 1.0 \n", - "b 748.0 1224.0 788.0 1.0 \n", - "log_sigma 613.0 665.0 602.0 1.0 " + "Warnings:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "\"\"\"" ] }, "execution_count": 6, @@ -241,20 +328,8 @@ } ], "source": [ - "with pm.Model() as m_7_1:\n", - " mass_std = pm.Data('mass_std', brains.mass_std) # this is necessary for prediction in 7.10\n", - " a = pm.Normal('a', 0.5, 1)\n", - " b = pm.Normal('b', 0, 10)\n", - " \n", - " mu = pm.Deterministic('mu', a + b * mass_std)\n", - " # The book doesn't say *why* sigma is treated as log_sigma in this model...\n", - " log_sigma = pm.Normal('log_sigma', 0, 1)\n", - "\n", - " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", - " \n", - " m_7_1_trace = pm.sample(1000, tune=1000)\n", - "\n", - "az.summary(m_7_1_trace, credible_interval=0.89, var_names=['~mu'])" + "m_7_1 = smf.ols('brain_std ~ mass_std', data=brains).fit()\n", + "m_7_1.summary()" ] }, { @@ -314,30 +389,30 @@ " \n", " \n", " b\n", - " 0.167\n", - " 0.077\n", - " 0.048\n", + " 0.169\n", + " 0.074\n", + " 0.058\n", " 0.294\n", - " 0.003\n", " 0.002\n", - " 892.0\n", - " 886.0\n", - " 898.0\n", - " 906.0\n", + " 0.002\n", + " 1021.0\n", + " 956.0\n", + " 1020.0\n", + " 944.0\n", " NaN\n", " \n", " \n", " a\n", - " 0.530\n", - " 0.070\n", - " 0.432\n", - " 0.661\n", + " 0.528\n", + " 0.069\n", + " 0.410\n", + " 0.634\n", " 0.002\n", " 0.002\n", - " 1055.0\n", - " 1055.0\n", - " 1061.0\n", - " 872.0\n", + " 867.0\n", + " 798.0\n", + " 882.0\n", + " 983.0\n", " NaN\n", " \n", " \n", @@ -346,12 +421,12 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "b 0.167 0.077 0.048 0.294 0.003 0.002 892.0 886.0 \n", - "a 0.530 0.070 0.432 0.661 0.002 0.002 1055.0 1055.0 \n", + "b 0.169 0.074 0.058 0.294 0.002 0.002 1021.0 956.0 \n", + "a 0.528 0.069 0.410 0.634 0.002 0.002 867.0 798.0 \n", "\n", " ess_bulk ess_tail r_hat \n", - "b 898.0 906.0 NaN \n", - "a 1061.0 872.0 NaN " + "b 1020.0 944.0 NaN \n", + "a 882.0 983.0 NaN " ] }, "execution_count": 7, @@ -364,7 +439,7 @@ "\n", "post = stats.multivariate_normal(p, cov).rvs(1000)\n", "\n", - "az.summary({k:v for k, v in zip('ba', post.T)}, credible_interval=0.89)" + "az.summary({k:v for k, v in zip('ba', post.T)})" ] }, { @@ -379,19 +454,10 @@ "execution_count": 8, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pymc3/sampling.py:1247: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n", - " \"samples parameter is smaller than nchains times ndraws, some draws \"\n", - "100%|██████████| 1000/1000 [00:01<00:00, 560.06it/s]\n" - ] - }, { "data": { "text/plain": [ - "0.5282150917062397" + "0.49015804794908413" ] }, "execution_count": 8, @@ -400,11 +466,7 @@ } ], "source": [ - "s = pm.sample_posterior_predictive(m_7_1_trace, 1000, m_7_1)\n", - "r = np.mean(s['brain_std'], 0) - brains.brain_std\n", - "resid_var = np.var(r)\n", - "outcome_var = np.var(brains.brain_std)\n", - "1 - resid_var / outcome_var # Calculate R2" + "1 - m_7_1.resid.var() / brains.brain_std.var()" ] }, { @@ -419,19 +481,10 @@ "execution_count": 9, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pymc3/sampling.py:1247: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n", - " \"samples parameter is smaller than nchains times ndraws, some draws \"\n", - "100%|██████████| 1000/1000 [00:02<00:00, 450.01it/s]\n" - ] - }, { "data": { "text/plain": [ - "0.484077273434799" + "0.49015804794908413" ] }, "execution_count": 9, @@ -440,13 +493,10 @@ } ], "source": [ - "def R2_is_bad(model, trace, n=1000):\n", - " s = pm.sample_posterior_predictive(trace, n, model)\n", - " key = list(s.keys())[0] # because we won't automatically know what the predictor is called\n", - " r = np.mean(s[key], 0) - brains.brain_std\n", - " return 1 - np.var(r) / np.var(brains.brain_std)\n", + "def R2_is_bad(model):\n", + " return 1 - model.resid.var() / brains.brain_std.var()\n", "\n", - "R2_is_bad(m_7_1, m_7_1_trace)" + "R2_is_bad(m_7_1)" ] }, { @@ -465,122 +515,102 @@ "name": "stderr", "output_type": "stream", "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 4 divergences: 100%|██████████| 4000/4000 [00:06<00:00, 643.99draws/s]\n", - "There were 4 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The number of effective samples is smaller than 25% for some parameters.\n" + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/statsmodels/stats/stattools.py:71: ValueWarning: omni_normtest is not valid with less than 8 observations; 7 samples were given.\n", + " \"samples were given.\" % int(n), ValueWarning)\n" ] }, { "data": { "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.6030.2460.2510.9980.0090.007724.0613.0724.0653.01.01
b[0]0.1960.157-0.0380.4400.0060.004712.0673.0726.0676.01.00
b[1]-0.0880.262-0.4930.2820.0100.009713.0454.0685.0703.01.00
log_sigma-1.2450.415-1.868-0.6090.0220.016341.0341.0350.0592.01.01
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", "
OLS Regression Results
Dep. Variable: brain_std R-squared: 0.536
Model: OLS Adj. R-squared: 0.304
Method: Least Squares F-statistic: 2.310
Date: Mon, 18 May 2020 Prob (F-statistic): 0.215
Time: 17:18:10 Log-Likelihood: 3.3223
No. Observations: 7 AIC: -0.6445
Df Residuals: 4 BIC: -0.8068
Df Model: 2
Covariance Type: nonrobust
\n", - "
" + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
Intercept 0.6142 0.155 3.950 0.017 0.182 1.046
mass_std 0.1957 0.093 2.101 0.104 -0.063 0.454
I(mass_std ** 2) -0.0998 0.159 -0.629 0.564 -0.540 0.341
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: nan Durbin-Watson: 1.479
Prob(Omnibus): nan Jarque-Bera (JB): 1.016
Skew: 0.901 Prob(JB): 0.602
Kurtosis: 2.514 Cond. No. 4.04


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." ], "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.603 0.246 0.251 0.998 0.009 0.007 724.0 \n", - "b[0] 0.196 0.157 -0.038 0.440 0.006 0.004 712.0 \n", - "b[1] -0.088 0.262 -0.493 0.282 0.010 0.009 713.0 \n", - "log_sigma -1.245 0.415 -1.868 -0.609 0.022 0.016 341.0 \n", + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: brain_std R-squared: 0.536\n", + "Model: OLS Adj. R-squared: 0.304\n", + "Method: Least Squares F-statistic: 2.310\n", + "Date: Mon, 18 May 2020 Prob (F-statistic): 0.215\n", + "Time: 17:18:10 Log-Likelihood: 3.3223\n", + "No. Observations: 7 AIC: -0.6445\n", + "Df Residuals: 4 BIC: -0.8068\n", + "Df Model: 2 \n", + "Covariance Type: nonrobust \n", + "====================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------------\n", + "Intercept 0.6142 0.155 3.950 0.017 0.182 1.046\n", + "mass_std 0.1957 0.093 2.101 0.104 -0.063 0.454\n", + "I(mass_std ** 2) -0.0998 0.159 -0.629 0.564 -0.540 0.341\n", + "==============================================================================\n", + "Omnibus: nan Durbin-Watson: 1.479\n", + "Prob(Omnibus): nan Jarque-Bera (JB): 1.016\n", + "Skew: 0.901 Prob(JB): 0.602\n", + "Kurtosis: 2.514 Cond. No. 4.04\n", + "==============================================================================\n", "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 613.0 724.0 653.0 1.01 \n", - "b[0] 673.0 726.0 676.0 1.00 \n", - "b[1] 454.0 685.0 703.0 1.00 \n", - "log_sigma 341.0 350.0 592.0 1.01 " + "Warnings:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "\"\"\"" ] }, "execution_count": 10, @@ -589,19 +619,8 @@ } ], "source": [ - "with pm.Model() as m_7_2:\n", - " mass_std = pm.Data('mass_std', brains.mass_std)\n", - " a = pm.Normal('a', 0.5, 1)\n", - " b = pm.Normal('b', 0, 10, shape=2)\n", - " \n", - " mu = pm.Deterministic('mu', a + b[0] * mass_std + b[1] * mass_std**2)\n", - " log_sigma = pm.Normal('log_sigma', 0, 1)\n", - "\n", - " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", - " \n", - " m_7_2_trace = pm.sample(1000, tune=1000)\n", - "\n", - "az.summary(m_7_2_trace, credible_interval=0.89, var_names=['~mu'])" + "m_7_2 = smf.ols('brain_std ~ mass_std + I(mass_std**2)', data=brains).fit()\n", + "m_7_2.summary()" ] }, { @@ -615,765 +634,27 @@ "cell_type": "code", "execution_count": 11, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 6 divergences: 100%|██████████| 4000/4000 [00:08<00:00, 458.27draws/s]\n", - "There was 1 divergence after tuning. Increase `target_accept` or reparameterize.\n", - "There were 5 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The number of effective samples is smaller than 25% for some parameters.\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.5470.3240.1021.0530.0140.013518.0317.0551.0419.01.00
b[0]0.4130.437-0.3061.0540.0210.015453.0453.0473.0421.01.01
b[1]0.0390.406-0.5850.6370.0190.019463.0239.0520.0367.01.00
b[2]-0.2130.398-0.8020.4350.0190.015426.0366.0447.0339.01.01
log_sigma-1.1510.444-1.817-0.4670.0280.020243.0243.0285.0367.01.00
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.547 0.324 0.102 1.053 0.014 0.013 518.0 \n", - "b[0] 0.413 0.437 -0.306 1.054 0.021 0.015 453.0 \n", - "b[1] 0.039 0.406 -0.585 0.637 0.019 0.019 463.0 \n", - "b[2] -0.213 0.398 -0.802 0.435 0.019 0.015 426.0 \n", - "log_sigma -1.151 0.444 -1.817 -0.467 0.028 0.020 243.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 317.0 551.0 419.0 1.00 \n", - "b[0] 453.0 473.0 421.0 1.01 \n", - "b[1] 239.0 520.0 367.0 1.00 \n", - "b[2] 366.0 447.0 339.0 1.01 \n", - "log_sigma 243.0 285.0 367.0 1.00 " - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "with pm.Model() as m_7_3:\n", - " mass_std = pm.Data('mass_std', brains.mass_std)\n", - " a = pm.Normal('a', 0.5, 1)\n", - " b = pm.Normal('b', 0, 10, shape=3)\n", - " \n", - " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", - " b[1] * mass_std**2 + b[2] * mass_std**3))\n", - " log_sigma = pm.Normal('log_sigma', 0, 1)\n", - "\n", - " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", - "\n", - " \n", - " m_7_3_trace = pm.sample(1000, tune=1000)\n", - "\n", - "az.summary(m_7_3_trace, credible_interval=0.89, var_names=['~mu'])" + "m_7_3 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3)', data=brains).fit()\n", + "m_7_4 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4)', data=brains).fit()\n", + "m_7_5 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5)', data=brains).fit()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 7.9" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 174 divergences: 100%|██████████| 4000/4000 [00:18<00:00, 212.80draws/s]\n", - "There were 58 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.6934040929019497, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "There were 116 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.5859251385590197, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "The estimated number of effective samples is smaller than 200 for some parameters.\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.6630.590-0.1481.6770.0520.037129.0129.0124.0349.01.03
b[0]0.6710.970-0.5762.1710.0700.050191.0191.0172.0396.01.02
b[1]-0.4321.732-3.2631.8920.1380.098157.0157.0154.0332.01.03
b[2]-0.5441.154-2.2550.9600.0850.060184.0184.0167.0373.01.02
b[3]0.3541.173-1.3102.0790.0910.064166.0166.0160.0406.01.03
log_sigma-0.9680.445-1.521-0.1390.0500.04879.043.054.011.01.04
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.663 0.590 -0.148 1.677 0.052 0.037 129.0 \n", - "b[0] 0.671 0.970 -0.576 2.171 0.070 0.050 191.0 \n", - "b[1] -0.432 1.732 -3.263 1.892 0.138 0.098 157.0 \n", - "b[2] -0.544 1.154 -2.255 0.960 0.085 0.060 184.0 \n", - "b[3] 0.354 1.173 -1.310 2.079 0.091 0.064 166.0 \n", - "log_sigma -0.968 0.445 -1.521 -0.139 0.050 0.048 79.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 129.0 124.0 349.0 1.03 \n", - "b[0] 191.0 172.0 396.0 1.02 \n", - "b[1] 157.0 154.0 332.0 1.03 \n", - "b[2] 184.0 167.0 373.0 1.02 \n", - "b[3] 166.0 160.0 406.0 1.03 \n", - "log_sigma 43.0 54.0 11.0 1.04 " - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_7_4:\n", - " mass_std = pm.Data('mass_std', brains.mass_std)\n", - " a = pm.Normal('a', 0.5, 1)\n", - " b = pm.Normal('b', 0, 10, shape=4)\n", - " \n", - " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", - " b[1] * mass_std**2 + b[2] * mass_std**3 + \n", - " b[3] * mass_std**4))\n", - " log_sigma = pm.Normal('log_sigma', 0, 1)\n", - "\n", - " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", - " \n", - " m_7_4_trace = pm.sample(1000, tune=1000)\n", - "\n", - "az.summary(m_7_4_trace, credible_interval=0.89, var_names=['~mu'])" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [log_sigma, b, a]\n", - "Sampling 2 chains, 253 divergences: 100%|██████████| 4000/4000 [00:42<00:00, 94.00draws/s] \n", - "There were 136 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.6363948925556997, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "There were 117 divergences after tuning. Increase `target_accept` or reparameterize.\n", - "The acceptance probability does not match the target. It is 0.659312036556992, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "The rhat statistic is larger than 1.05 for some parameters. This indicates slight problems during sampling.\n", - "The estimated number of effective samples is smaller than 200 for some parameters.\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.7470.649-0.4391.6000.0660.04698.098.0111.0208.01.02
b[0]1.2301.695-1.4003.6430.1250.089183.0183.0185.0278.01.02
b[1]-0.2842.076-2.8723.3530.1800.128133.0133.0135.0386.01.03
b[2]-1.8423.517-6.9093.7220.2500.184198.0184.0206.0231.01.03
b[3]0.0281.723-2.6722.3120.1180.084212.0212.0192.0442.01.02
b[4]0.6741.824-1.9773.4160.1200.096230.0179.0233.0250.01.04
log_sigma-0.9220.590-1.849-0.1360.1550.14414.09.013.041.01.15
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean \\\n", - "a 0.747 0.649 -0.439 1.600 0.066 0.046 98.0 \n", - "b[0] 1.230 1.695 -1.400 3.643 0.125 0.089 183.0 \n", - "b[1] -0.284 2.076 -2.872 3.353 0.180 0.128 133.0 \n", - "b[2] -1.842 3.517 -6.909 3.722 0.250 0.184 198.0 \n", - "b[3] 0.028 1.723 -2.672 2.312 0.118 0.084 212.0 \n", - "b[4] 0.674 1.824 -1.977 3.416 0.120 0.096 230.0 \n", - "log_sigma -0.922 0.590 -1.849 -0.136 0.155 0.144 14.0 \n", - "\n", - " ess_sd ess_bulk ess_tail r_hat \n", - "a 98.0 111.0 208.0 1.02 \n", - "b[0] 183.0 185.0 278.0 1.02 \n", - "b[1] 133.0 135.0 386.0 1.03 \n", - "b[2] 184.0 206.0 231.0 1.03 \n", - "b[3] 212.0 192.0 442.0 1.02 \n", - "b[4] 179.0 233.0 250.0 1.04 \n", - "log_sigma 9.0 13.0 41.0 1.15 " - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "with pm.Model() as m_7_5:\n", - " mass_std = pm.Data('mass_std', brains.mass_std)\n", - "\n", - " a = pm.Normal('a', 0.5, 1)\n", - " b = pm.Normal('b', 0, 10, shape=5)\n", - " \n", - " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", - " b[1] * mass_std**2 + b[2] * mass_std**3 + \n", - " b[3] * mass_std**4 + b[4] * mass_std**5))\n", - " log_sigma = pm.Normal('log_sigma', 0, 1)\n", - "\n", - " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", - " \n", - " m_7_5_trace = pm.sample(1000, tune=1000)\n", - "\n", - "az.summary(m_7_5_trace, credible_interval=0.89, var_names=['~mu'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.9" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 4000/4000 [02:20<00:00, 28.54draws/s]\n", - "The acceptance probability does not match the target. It is 0.8875169157017125, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "The chain reached the maximum tree depth. Increase max_treedepth, increase target_accept or reparameterize.\n", - "The chain reached the maximum tree depth. Increase max_treedepth, increase target_accept or reparameterize.\n", - "The number of effective samples is smaller than 25% for some parameters.\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a0.5060.0080.4930.5170.0010.000214.0214.0213.0218.01.01
b[0]0.8800.0140.8560.8990.0010.001221.0221.0220.0252.01.01
b[1]1.7060.0381.6501.7710.0030.002213.0212.0211.0236.01.01
b[2]-0.6080.036-0.662-0.5490.0020.002218.0218.0217.0238.01.01
b[3]-3.4830.057-3.583-3.4030.0040.003213.0213.0212.0239.01.01
b[4]-0.3500.023-0.385-0.3120.0020.001217.0216.0214.0246.01.01
b[5]1.6290.0261.5921.6740.0020.001213.0213.0213.0281.01.01
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a 0.506 0.008 0.493 0.517 0.001 0.000 214.0 214.0 \n", - "b[0] 0.880 0.014 0.856 0.899 0.001 0.001 221.0 221.0 \n", - "b[1] 1.706 0.038 1.650 1.771 0.003 0.002 213.0 212.0 \n", - "b[2] -0.608 0.036 -0.662 -0.549 0.002 0.002 218.0 218.0 \n", - "b[3] -3.483 0.057 -3.583 -3.403 0.004 0.003 213.0 213.0 \n", - "b[4] -0.350 0.023 -0.385 -0.312 0.002 0.001 217.0 216.0 \n", - "b[5] 1.629 0.026 1.592 1.674 0.002 0.001 213.0 213.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "a 213.0 218.0 1.01 \n", - "b[0] 220.0 252.0 1.01 \n", - "b[1] 211.0 236.0 1.01 \n", - "b[2] 217.0 238.0 1.01 \n", - "b[3] 212.0 239.0 1.01 \n", - "b[4] 214.0 246.0 1.01 \n", - "b[5] 213.0 281.0 1.01 " - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# chains occasionally fail because this is (intentionally) such a bad model.\n", - "with pm.Model() as m_7_6:\n", - " mass_std = pm.Data('mass_std', brains.mass_std)\n", - "\n", - " a = pm.Normal('a', 0.5, 1)\n", - " b = pm.Normal('b', 0, 10, shape=6)\n", - " \n", - " mu = pm.Deterministic('mu', (a + b[0] * mass_std + \n", - " b[1] * mass_std**2 + b[2] * mass_std**3 + \n", - " b[3] * mass_std**4 + b[4] * mass_std**5 +\n", - " b[5] * mass_std**6))\n", - " log_sigma = np.log(0.001)\n", - " \n", - " brain_std = pm.Normal('brain_std', mu, pm.math.exp(log_sigma), observed=brains.brain_std)\n", - " \n", - " m_7_6_trace = pm.sample(1000, tune=1000)\n", - "\n", - "az.summary(m_7_6_trace, credible_interval=0.89, var_names=['~mu'])" + "m_7_6 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5) + I(mass_std**6)', data=brains).fit()" ] }, { @@ -1389,26 +670,14 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 2000/2000 [00:05<00:00, 373.70it/s]\n", - "100%|██████████| 2000/2000 [00:05<00:00, 354.89it/s]\n", - "100%|██████████| 2000/2000 [00:06<00:00, 316.50it/s]\n", - "100%|██████████| 2000/2000 [00:06<00:00, 332.28it/s]\n", - "100%|██████████| 2000/2000 [00:07<00:00, 252.50it/s]\n", - "100%|██████████| 2000/2000 [00:09<00:00, 209.71it/s]\n" - ] - }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -1417,40 +686,59 @@ ], "source": [ "models = [m_7_1, m_7_2, m_7_3, m_7_4, m_7_5, m_7_6]\n", - "traces = [m_7_1_trace, m_7_2_trace, m_7_3_trace, m_7_4_trace, m_7_5_trace, m_7_6_trace]\n", - "nsamples = 2000\n", + "names = ['m_7_1', 'm_7_2', 'm_7_3', 'm_7_4', 'm_7_5', 'm_7_6']\n", "\n", - "mass_plot = np.linspace(33, 64, 100)\n", + "mass_plot = np.linspace(33, 62, 100)\n", "mass_new = (mass_plot - brains.mass.mean()) / brains.mass.std()\n", "\n", - "# sample posterior predictive\n", - "post_preds = []\n", - "for model, trace in zip(models, traces):\n", - " with model:\n", - " pm.set_data({'mass_std': mass_new}) # update shared variable with predictive independent variable\n", - " post_preds.append(pm.sample_posterior_predictive(trace, samples=nsamples)['brain_std'])\n", - " \n", - "# draw plot\n", - "fig, axs = plt.subplots(3, 2, figsize=[6, 9])\n", + "fig, axs = plt.subplots(3, 2, figsize=[6, 8.5], sharex=True, sharey='row')\n", "\n", - "for ax, post_pred in zip(axs.flat, post_preds):\n", - " post_pred *= brains.brain.max() # scale back to original data\n", - " az.plot_hpd(mass_plot, post_pred, credible_interval=0.89, ax=ax, color='k', smooth=True)\n", - " ax.plot(mass_plot, np.mean(post_pred, 0), color='k')\n", + "for model, name, ax in zip(models, names, axs.flat):\n", + " prediction = model.get_prediction({'mass_std': mass_new})\n", + " pred = prediction.summary_frame(alpha=0.11) * brains.brain.max()\n", + "\n", + " ax.plot(mass_plot, pred['mean'])\n", + " ax.fill_between(mass_plot, pred['mean_ci_lower'], pred['mean_ci_upper'], alpha=0.3)\n", + " ax.scatter(brains.mass, brains.brain, color='C0', s=15)\n", + " \n", + " ax.set_title(f'{name}: R^2: {model.rsquared:.2f}', loc='left', fontsize=11)\n", " \n", - " ax.scatter(brains.mass, brains.brain)" + " if ax.is_first_col():\n", + " ax.set_ylabel('brain volume (cc)')\n", + " \n", + " if ax.is_last_row():\n", + " ax.set_xlabel('body mass (kg)')\n", + " \n", + " if ax.is_last_row():\n", + " ax.set_ylim(-500, 2100)\n", + " ax.axhline(0, ls='dashed', c='k', lw=1)\n", + " ax.set_yticks([0, 450, 1300])\n", + " else:\n", + " ax.set_ylim(300, 1600)\n", + " ax.set_yticks([450, 900, 1300])\n", + "\n", + "fig.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Much larger uncertainties than in the book because we're using MCMC posterior prediction, rather than OLS." + "#### Code 7.11 - this is R specific notation for dropping rows" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "brains_new = brains.drop(brains.index[-1])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -1473,7 +761,9 @@ "ax1.scatter(brains.mass, brains.brain, alpha=0.8)\n", "ax2.scatter(brains.mass, brains.brain, alpha=0.8)\n", "for i in range(len(brains)):\n", - " d_new = brains.drop(brains.index[-i])\n", + " d_new = brains.drop(brains.index[-i]) # drop each data point in turn\n", + "\n", + " # first order model\n", " m0 = smf.ols('brain ~ mass', d_new).fit()\n", " # need to calculate regression line\n", " # need to add intercept term explicitly\n", @@ -1500,22 +790,6 @@ " ax2.set_title('Overfit model')" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.11 - this is R specific notation for dropping rows" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "brains_new = brains.drop(brains.index[-1])" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1525,7 +799,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -1534,7 +808,7 @@ "0.6108643020548935" ] }, - "execution_count": 18, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1546,7 +820,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -1555,7 +829,7 @@ "Text(0.315, 1.22, 'q = p')" ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, @@ -1592,52 +866,43 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ - "from scipy.special import logsumexp" + "n_samples = 3000\n", + "\n", + "intercept, slope = stats.multivariate_normal(m_7_1.params, m_7_1.cov_params()).rvs(n_samples).T\n", + "\n", + "pred = intercept + slope * brains.mass_std.values.reshape(-1,1)\n", + "\n", + "n, ns = pred.shape" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 3000/3000 [00:03<00:00, 777.58it/s]\n" - ] - }, { "data": { "text/plain": [ - "array([ 0.13441005, 0.12393539, 0.07522894, 0.13329529, 0.05264047,\n", - " 0.01941231, -0.49745341])" + "array([ 0.62060273, 0.66080837, 0.56608632, 0.62876608, 0.47909493,\n", + " 0.44851465, -0.8559313 ])" ] }, - "execution_count": 21, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# does PyMC3 have a way to give us lppd directly?\n", - "\n", - "n_samples = 3000\n", - "\n", - "with m_7_1:\n", - " pm.set_data({'mass_std': brains.mass_std})\n", - " post_pred = pm.sample_posterior_predictive(m_7_1_trace, n_samples, var_names=['log_sigma', 'brain_std'])\n", - "\n", - "ns, n = post_pred['brain_std'].shape\n", + "# PyMC3 does not have a way to calculate LPPD directly, so we use the approach from 7.14\n", "\n", - "# this approach for calculating lppd isfrom 7.14\n", + "sigmas = (np.sum((pred - brains.brain_std.values.reshape(-1,1))**2, 0) / 7)**0.5\n", "ll = np.zeros((n, ns))\n", "for s in range(ns):\n", - " logprob = stats.norm.logpdf(brains.brain_std, post_pred['brain_std'][s], np.exp(post_pred['log_sigma'][s])) # this does the work of `sim`\n", + " logprob = stats.norm.logpdf(brains.brain_std, pred[:, s], sigmas[s])\n", " ll[:, s] = logprob\n", "\n", "lppd = np.zeros(n)\n", @@ -1647,13 +912,6 @@ "lppd" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "These values are all lower than the book. Presumably this is because our credible interval is so much wider?" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1663,47 +921,25 @@ }, { "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[a, b]" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "m_7_6.vars" - ] - }, - { - "cell_type": "code", - "execution_count": 24, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "# make an lppd function that can be applied to all models (from code above)\n", - "def lppd(model, trace, n_samples=1e4):\n", + "def lppd(model, n_samples=1e4):\n", " n_samples = int(n_samples)\n", " \n", - " pm.set_data({'mass_std': brains.mass_std}, model)\n", - " if 'log_sigma' in model.vars:\n", - " post_pred = pm.sample_posterior_predictive(trace, n_samples, model, var_names=['log_sigma', 'brain_std'])\n", - " else:\n", - " post_pred = pm.sample_posterior_predictive(trace, n_samples, model, var_names=['brain_std'])\n", - " post_pred['log_sigma'] = np.full(n_samples, np.log(0.001))\n", + " pars = stats.multivariate_normal(model.params, model.cov_params()).rvs(n_samples).T\n", + " dmat = dmatrix(model.model.data.design_info, brains, return_type='dataframe').values # get model design matrix\n", + " pred = dmat.dot(pars)\n", "\n", - " ns, n = post_pred['brain_std'].shape\n", + " n, ns = pred.shape\n", "\n", " # this approach for calculating lppd isfrom 7.14\n", + " sigmas = (np.sum((pred - brains.brain_std.values.reshape(-1,1))**2, 0) / 7)**0.5\n", " ll = np.zeros((n, ns))\n", " for s in range(ns):\n", - " logprob = stats.norm.logpdf(brains.brain_std, post_pred['brain_std'][s], np.exp(post_pred['log_sigma'][s])) # this does the work of `sim`\n", + " logprob = stats.norm.logpdf(brains.brain_std, pred[:, s], sigmas[s])\n", " ll[:, s] = logprob\n", "\n", " lppd = np.zeros(n)\n", @@ -1715,37 +951,23 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 22, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/pymc3/sampling.py:1247: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n", - " \"samples parameter is smaller than nchains times ndraws, some draws \"\n", - "100%|██████████| 1000/1000 [00:01<00:00, 743.61it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 721.91it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 643.96it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 621.89it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 648.67it/s]\n", - "100%|██████████| 1000/1000 [00:01<00:00, 515.61it/s]\n" - ] - }, { "data": { "text/plain": [ - "array([ 2.03540585, 0.84443281, 1.01746652, -8.08583455, 0.70023777,\n", - " 38.11195674])" + "array([ 2.54799078, 2.3115561 , 2.89843278, 3.53621752, 11.04367575])" ] }, - "execution_count": 25, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "lppds = np.array(list(map(lppd, models, traces, [1000] * len(models))))\n", + "# model 7_6 does not work with OLS because its covariance matrix is not finite.\n", + "lppds = np.array(list(map(lppd, models[:-1], [1000] * len(models[:-1]))))\n", "\n", "lppds.sum(1)" ] @@ -1763,7 +985,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -1811,7 +1033,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1829,52 +1051,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 739.70draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 934.78draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 648.01draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 847.28draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 785.42draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1036.11draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 672.84draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 967.79draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 763.54draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1166.93draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 660.59draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1166.62draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 787.59draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1154.64draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 768.17draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1073.19draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 686.72draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1056.39draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 658.31draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 961.44draws/s] \n" ] }, { @@ -1892,52 +1114,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 766.26draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 950.36draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 764.49draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 849.16draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 629.74draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1143.96draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 671.55draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1078.80draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 539.05draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1041.81draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 681.15draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 881.10draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 568.13draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 859.46draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 559.81draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 982.47draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 589.33draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1164.35draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 592.68draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 721.99draws/s]\n" ] }, { @@ -1955,52 +1177,54 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 474.50draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 990.68draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 426.33draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1039.33draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 613.59draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1076.53draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 548.19draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1051.89draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 646.11draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1088.68draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:05<00:00, 382.20draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1070.45draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 434.98draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1079.20draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 498.44draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 894.42draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 622.83draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1174.50draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 473.50draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1069.59draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n" ] }, { @@ -2014,56 +1238,54 @@ "name": "stderr", "output_type": "stream", "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 627.04draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1102.62draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 558.55draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1107.06draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 529.09draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.37draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 599.22draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1162.51draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 510.19draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1092.86draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 576.92draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1168.42draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 583.28draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 988.14draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 608.55draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 984.95draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 572.52draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1185.08draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 524.40draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1010.81draws/s]\n" ] }, { @@ -2081,52 +1303,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 589.14draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1063.11draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 590.95draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 963.78draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 422.42draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 798.21draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 576.52draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1026.42draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 603.44draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1036.69draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 687.30draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1050.71draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 782.52draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1130.50draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 743.37draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1037.81draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 745.27draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1110.51draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 820.11draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1094.39draws/s]\n" ] } ], @@ -2151,16 +1373,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Code 7.17" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "# multithreading is automatic in PyMC3?" + "#### Code 7.17\n", + "\n", + "Does not apply because multi-threading is automatic in PyMC3." ] }, { @@ -2172,12 +1387,12 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -2232,7 +1447,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -2241,7 +1456,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -2252,8 +1467,7 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:40<00:00, 745.77draws/s]\n", - "The acceptance probability does not match the target. It is 0.6942847930376241, but should be close to 0.8. Try to increase the number of tuning steps.\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:28<00:00, 1050.63draws/s]\n" ] } ], @@ -2276,7 +1490,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -2299,7 +1513,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -2318,7 +1532,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -2336,16 +1550,16 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "412.29893684136545" + "412.2473721341997" ] }, - "execution_count": 35, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -2363,16 +1577,16 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "15.096309174348482" + "15.062775341988091" ] }, - "execution_count": 36, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -2393,7 +1607,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -2404,27 +1618,23 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, p]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1208.33draws/s]\n", - "The acceptance probability does not match the target. It is 0.8837999701289947, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1873.56draws/s]\n", + "The acceptance probability does not match the target. It is 0.8790785610439991, but should be close to 0.8. Try to increase the number of tuning steps.\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bf, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 766.30draws/s]\n", - "The acceptance probability does not match the target. It is 0.8894395987077259, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1206.42draws/s]\n", + "The acceptance probability does not match the target. It is 0.8878556060097744, but should be close to 0.8. Try to increase the number of tuning steps.\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 943.31draws/s] \n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1331.24draws/s]\n" ] } ], "source": [ - "# d = pd.read_csv('Data/milk.csv', sep=';')\n", - "# d['neocortex'] = d['neocortex.perc'] / 100\n", - "# d.dropna(inplace=True)\n", - "\n", "# number of plants\n", "N = 100\n", "# simulate initial heights\n", @@ -2484,20 +1694,31 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 34, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + }, { "data": { "text/plain": [ "Computed from 1000 by 100 log-likelihood matrix\n", "\n", " Estimate SE\n", - "deviance_waic 352.97 12.08\n", - "p_waic 3.18 -" + "deviance_waic 361.57 15.09\n", + "p_waic 3.32 -\n", + "\n", + "There has been a warning during the calculation. Please check the results." ] }, - "execution_count": 38, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -2515,7 +1736,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -2554,36 +1775,36 @@ " \n", " m_6_7\n", " 0\n", - " 352.974\n", - " 3.17921\n", + " 361.565\n", + " 3.31507\n", " 0\n", " 1\n", - " 12.0838\n", + " 15.0903\n", " 0\n", - " False\n", + " True\n", " deviance\n", " \n", " \n", " m_6_8\n", " 1\n", - " 410.961\n", - " 2.53352\n", - " 57.9877\n", - " 2.55932e-13\n", - " 11.7274\n", - " 10.1445\n", + " 410.045\n", + " 2.41389\n", + " 48.48\n", + " 2.9697e-11\n", + " 11.3292\n", + " 9.96148\n", " False\n", " deviance\n", " \n", " \n", " m_6_6\n", " 2\n", - " 413.79\n", - " 1.78948\n", - " 60.8167\n", - " 6.22048e-14\n", - " 11.7148\n", - " 11.2553\n", + " 418.332\n", + " 1.57451\n", + " 56.7666\n", + " 4.71286e-13\n", + " 11.7292\n", + " 11.8463\n", " False\n", " deviance\n", " \n", @@ -2593,9 +1814,9 @@ ], "text/plain": [ " rank waic p_waic d_waic weight se dse warning \\\n", - "m_6_7 0 352.974 3.17921 0 1 12.0838 0 False \n", - "m_6_8 1 410.961 2.53352 57.9877 2.55932e-13 11.7274 10.1445 False \n", - "m_6_6 2 413.79 1.78948 60.8167 6.22048e-14 11.7148 11.2553 False \n", + "m_6_7 0 361.565 3.31507 0 1 15.0903 0 True \n", + "m_6_8 1 410.045 2.41389 48.48 2.9697e-11 11.3292 9.96148 False \n", + "m_6_6 2 418.332 1.57451 56.7666 4.71286e-13 11.7292 11.8463 False \n", "\n", " waic_scale \n", "m_6_7 deviance \n", @@ -2603,7 +1824,7 @@ "m_6_6 deviance " ] }, - "execution_count": 39, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -2619,27 +1840,30 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Code 7.27\n", - "\n", - "I don't understand this code block in the book. First, it calls `waic_m6.6`, which isn't defined until 7.30. Next, it asks for the length of `waic_m6.6`, although it seems from the `diff_` output that these are all of length 1. Finally, I'm not sure what parameters `az.waic` needs to produce the same numbers as the `rethinking` `WAIC` function. From the above we get similar numbers when `scale='deviance'`, but in this block it produces a completely different number (-71 here vs 10 in the book).\n", - "\n", - "`pointwise=True` isn't doing what I expect it to. I would expect the function to return an array the same length as the data.\n", - "\n", - "What have I done wrong?" + "#### Code 7.27" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 36, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + }, { "data": { "text/plain": [ - "-57.987728303370034" + "array(9.96147766)" ] }, - "execution_count": 40, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -2648,7 +1872,12 @@ "waic_m_6_7 = az.waic(m_6_7_trace, pointwise=True, scale='deviance')\n", "waic_m_6_8 = az.waic(m_6_8_trace, pointwise=True, scale='deviance')\n", "\n", - "waic_m_6_7.waic - waic_m_6_8.waic" + "# pointwise values are stored in the waic_i attribute.\n", + "diff_m_6_7_m_6_8 = waic_m_6_7.waic_i - waic_m_6_8.waic_i\n", + "\n", + "n = len(diff_m_6_7_m_6_8)\n", + "\n", + "np.sqrt(n * np.var(diff_m_6_7_m_6_8)).values" ] }, { @@ -2660,7 +1889,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -2669,7 +1898,7 @@ "array([12.96, 67.04])" ] }, - "execution_count": 41, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -2687,22 +1916,22 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 42, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -2719,23 +1948,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Code 7.30\n", - "\n", - "As with 7.27, can't make sense of this." + "#### Code 7.30" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.0" + "array(0.69300909)" ] }, - "execution_count": 43, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2743,9 +1970,9 @@ "source": [ "waic_m_6_6 = az.waic(m_6_6_trace, pointwise=True, scale='deviance')\n", "\n", - "diff_m6_6_m6_8 = waic_m_6_6.waic - waic_m_6_8.waic\n", + "diff_m6_6_m6_8 = waic_m_6_6.waic_i - waic_m_6_8.waic_i\n", "\n", - "np.sqrt(1 * np.var( diff_m6_6_m6_8))" + "np.sqrt(1 * np.var( diff_m6_6_m6_8)).values" ] }, { @@ -2761,9 +1988,19 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 41, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + } + ], "source": [ "ms = {'m_6_6' : m_6_6_trace,\n", " 'm_6_7' : m_6_7_trace,\n", @@ -2783,7 +2020,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -2816,187 +2053,65 @@ " \n", " m_6_6\n", " NaN\n", - " 11.2553\n", - " 6.20414\n", - " \n", - " \n", - " m_6_7\n", - " 11.2553\n", - " NaN\n", - " 10.1445\n", - " \n", - " \n", - " m_6_8\n", - " 6.20414\n", - " 10.1445\n", - " NaN\n", + " 11.8463\n", + " 6.93009\n", " \n", - " \n", - "\n", - "" - ], - "text/plain": [ - " m_6_6 m_6_7 m_6_8\n", - "m_6_6 NaN 11.2553 6.20414\n", - "m_6_7 11.2553 NaN 10.1445\n", - "m_6_8 6.20414 10.1445 NaN" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# these numbers are quite different from those in the book\n", - "dSEs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.32" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "d = pd.read_csv('Data/Primates301.csv', sep=';')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.33" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "def scale(x):\n", - " return (x - np.nanmean(x)) / np.nanstd(x)\n", - "\n", - "d.loc[:, 'log_L'] = scale(np.log(d.loc[:, 'longevity']))\n", - "d.loc[:, 'log_B'] = scale(np.log(d.loc[:, 'brain']))\n", - "d.loc[:, 'log_M'] = scale(np.log(d.loc[:, 'body']))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.34" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "log_L 181\n", - "log_B 117\n", - "log_M 63\n", - "dtype: int64" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "d.loc[:, ['log_L', 'log_B', 'log_M']].isna().sum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.35" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { + " \n", + " m_6_7\n", + " 11.8463\n", + " NaN\n", + " 9.96148\n", + " \n", + " \n", + " m_6_8\n", + " 6.93009\n", + " 9.96148\n", + " NaN\n", + " \n", + " \n", + "\n", + "" + ], "text/plain": [ - "(112, 19)" + " m_6_6 m_6_7 m_6_8\n", + "m_6_6 NaN 11.8463 6.93009\n", + "m_6_7 11.8463 NaN 9.96148\n", + "m_6_8 6.93009 9.96148 NaN" ] }, - "execution_count": 49, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ind = np.all(~d.loc[:, ['log_L', 'log_B', 'log_M']].isna(), 1)\n", - "d2 = d.loc[ind]\n", - "d2.shape" + "# these numbers are quite different from those in the book\n", + "dSEs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Code 7.36" + "#### Code 7.32" ] }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bB, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:04<00:00, 464.21draws/s]\n", - "The acceptance probability does not match the target. It is 0.8914651944965659, but should be close to 0.8. Try to increase the number of tuning steps.\n" - ] - } - ], - "source": [ - "with pm.Model() as m_7_8:\n", - " a = pm.Normal('a', 0, 0.1)\n", - " bM = pm.Normal('bM', 0, 0.5)\n", - " bB = pm.Normal('bB', 0, 0.5)\n", - " \n", - " mu = a + bM * d2.log_M + bB * d2.log_B\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_L)\n", - " \n", - " m_7_8_trace = pm.sample()" - ] - }, - { - "cell_type": "markdown", + "execution_count": 43, "metadata": {}, + "outputs": [], "source": [ - "#### Code 7.37" + "d = pd.read_csv('Data/WaffleDivorce.csv', delimiter=';')\n", + "\n", + "d['A'] = stats.zscore(d['MedianAgeMarriage'])\n", + "d['D'] = stats.zscore(d['Divorce'])\n", + "d['M'] = stats.zscore(d['Marriage'])" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -3006,67 +2121,79 @@ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bB, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1114.66draws/s]\n", - "The acceptance probability does not match the target. It is 0.8804053652072463, but should be close to 0.8. Try to increase the number of tuning steps.\n" - ] - } - ], - "source": [ - "with pm.Model() as m_7_9:\n", - " a = pm.Normal('a', 0, 0.1)\n", - " bB = pm.Normal('bB', 0, 0.5)\n", - " \n", - " mu = a + bB * d2.log_B\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_L)\n", - " \n", - " m_7_9_trace = pm.sample()" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ + "NUTS: [sigma, bA, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:00<00:00, 2021.92draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.03draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1647.56draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bM, bA, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1214.64draws/s]\n" ] } ], "source": [ - "with pm.Model() as m_7_10:\n", - " a = pm.Normal('a', 0, 0.1)\n", + "with pm.Model() as m_5_1:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bA = pm.Normal('bA', 0, 0.5)\n", + " \n", + " mu = a + bA * d['A']\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " D = pm.Normal('D', mu, sigma, observed=d['D'])\n", + " \n", + " m_5_1_trace = pm.sample()\n", + " \n", + "with pm.Model() as m_5_2:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bM = pm.Normal('bM', 0, 0.5)\n", + " \n", + " mu = a + bM * d['M']\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " D = pm.Normal('D', mu, sigma, observed=d['D'])\n", + " \n", + " m_5_2_trace = pm.sample()\n", + " \n", + "with pm.Model() as m_5_3:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bA = pm.Normal('bA', 0, 0.5)\n", " bM = pm.Normal('bM', 0, 0.5)\n", " \n", - " mu = a + bM * d2.log_M\n", + " mu = a + bA * d['A'] + bM * d['M']\n", " sigma = pm.Exponential('sigma', 1)\n", " \n", - " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_L)\n", + " D = pm.Normal('D', mu, sigma, observed=d['D'])\n", " \n", - " m_7_10_trace = pm.sample()" + " m_5_3_trace = pm.sample()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Code 7.38" + "#### Code 7.33" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 45, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:532: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", + " \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:532: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", + " \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n" + ] + }, { "data": { "text/html": [ @@ -3089,50 +2216,50 @@ " \n", " \n", " rank\n", - " waic\n", - " p_waic\n", - " d_waic\n", + " loo\n", + " p_loo\n", + " d_loo\n", " weight\n", " se\n", " dse\n", " warning\n", - " waic_scale\n", + " loo_scale\n", " \n", " \n", " \n", " \n", - " m_7_9\n", + " m_5_1\n", " 0\n", - " 217.102\n", - " 2.3517\n", + " 127.345\n", + " 3.94925\n", " 0\n", - " 0.519302\n", - " 14.1783\n", + " 0.650113\n", + " 12.4611\n", " 0\n", - " False\n", + " True\n", " deviance\n", " \n", " \n", - " m_7_8\n", + " m_5_3\n", " 1\n", - " 217.259\n", - " 3.2983\n", - " 0.157101\n", - " 0.480072\n", - " 13.9811\n", - " 1.23797\n", - " False\n", + " 129.205\n", + " 5.00752\n", + " 1.85972\n", + " 0.263712\n", + " 9.47919\n", + " 1.05564\n", + " True\n", " deviance\n", " \n", " \n", - " m_7_10\n", + " m_5_2\n", " 2\n", - " 230.543\n", - " 2.48639\n", - " 13.4409\n", - " 0.000626269\n", - " 15.7009\n", - " 5.42153\n", + " 140.232\n", + " 2.87537\n", + " 12.8866\n", + " 0.0861747\n", + " 12.2204\n", + " 9.51046\n", " False\n", " deviance\n", " \n", @@ -3141,56 +2268,66 @@ "" ], "text/plain": [ - " rank waic p_waic d_waic weight se dse \\\n", - "m_7_9 0 217.102 2.3517 0 0.519302 14.1783 0 \n", - "m_7_8 1 217.259 3.2983 0.157101 0.480072 13.9811 1.23797 \n", - "m_7_10 2 230.543 2.48639 13.4409 0.000626269 15.7009 5.42153 \n", + " rank loo p_loo d_loo weight se dse warning \\\n", + "m_5_1 0 127.345 3.94925 0 0.650113 12.4611 0 True \n", + "m_5_3 1 129.205 5.00752 1.85972 0.263712 9.47919 1.05564 True \n", + "m_5_2 2 140.232 2.87537 12.8866 0.0861747 12.2204 9.51046 False \n", "\n", - " warning waic_scale \n", - "m_7_9 False deviance \n", - "m_7_8 False deviance \n", - "m_7_10 False deviance " + " loo_scale \n", + "m_5_1 deviance \n", + "m_5_3 deviance \n", + "m_5_2 deviance " ] }, - "execution_count": 53, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "compare_df = az.compare({'m_7_8' : m_7_8_trace,\n", - " 'm_7_9' : m_7_9_trace,\n", - " 'm_7_10' : m_7_10_trace,}, method='pseudo-BMA', ic='waic', scale='deviance')\n", - "compare_df" + "az.compare({'m_5_1' : m_5_1_trace,\n", + " 'm_5_2' : m_5_2_trace,\n", + " 'm_5_3' : m_5_3_trace}, scale='deviance')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Code 7.39" + "#### Code 7.34" ] }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 46, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:532: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", + " \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + }, { "data": { "text/plain": [ - "" + "Text(0, 0.5, 'WAIC')" ] }, - "execution_count": 54, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3198,37 +2335,35 @@ } ], "source": [ - "az.plot_compare(compare_df)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.40" + "psis_m_5_3 = az.loo(m_5_3_trace, pointwise=True, scale='deviance')\n", + "waic_m_5_3 = az.waic(m_5_3_trace, pointwise=True, scale='deviance')\n", + "\n", + "# Figure 7.10\n", + "plt.scatter(psis_m_5_3.pareto_k, waic_m_5_3.waic_i)\n", + "plt.xlabel('PSIS Pareto k')\n", + "plt.ylabel('WAIC')" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([],\n", - " dtype=object)" + "[]" ] }, - "execution_count": 55, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -3236,260 +2371,121 @@ } ], "source": [ - "traces = [m_7_8_trace, m_7_9_trace, m_7_10_trace]\n", - "az.plot_forest(traces, model_names=['m_7_8', 'm_7_9', 'm_7_10'], var_names=['bM', 'bB'], figsize=[8, 3])" + "# Figure 7.11\n", + "\n", + "v = np.linspace(-4, 4, 100)\n", + "\n", + "g = stats.norm(loc=0, scale=1)\n", + "t = stats.t(df=2, loc=0, scale=1)\n", + "\n", + "fig, (ax, lax) = plt.subplots(1, 2, figsize=[8, 3.5])\n", + "\n", + "ax.plot(v, g.pdf(v), color='b')\n", + "ax.plot(v, t.pdf(v), color='k')\n", + "\n", + "lax.plot(v, -g.logpdf(v), color='b')\n", + "lax.plot(v, -t.logpdf(v), color='k')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### Code 7.41" + "#### Code 7.35" ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 48, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "array([[1. , 0.97962718],\n", - " [0.97962718, 1. ]])" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bM, bA, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1174.61draws/s]\n" + ] } ], "source": [ - "np.corrcoef(d2.log_B, d2.log_M)" + "with pm.Model() as m_5_3t:\n", + " a = pm.Normal('a', 0, 0.2)\n", + " bA = pm.Normal('bA', 0, 0.5)\n", + " bM = pm.Normal('bM', 0, 0.5)\n", + " \n", + " mu = a + bA * d['A'] + bM * d['M']\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " D = pm.StudentT('D', 2, mu, sigma, observed=d['D'])\n", + " \n", + " m_5_3t_trace = pm.sample()" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAGGCAYAAADmRxfNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzde3TU9Zn48fdMZibJ5DIkgYTcuAQkARVQbvGyVQhVdJVE1hXb48Hquts9Vmuh1p9WTxe7bnFlNdVa2/XU7rbW3UV3JWGtuIpYFWu4BAURmEAIEELu92SSzO37++PJDAmQkBtJSJ7XORyS73znO5/MQDJPns/zPCbDMAyUUkoppZRSahDMI70ApZRSSiml1KVPAwullFJKKaXUoGlgoZRSSimllBo0DSyUUkoppZRSg6aBhVJKKaWUUmrQNLBQSimllFJKDZoGFkoppZRSSqlB08BCKaWUUkopNWgaWCillFJKKaUGzTLSCxiN6uvrR3oJfeJwOGhsbBzpZaghpK/p2DTaX9eYmJiRXsIl51L5OXExjPZ/z2OdPv8ja7w+/339OaEZi0uY2awv31ijr+nYpK+rGkv03/PI0ud/ZOnz3zt9dpRSSimllFKDpoGFUkoppZRSatA0sFBKKaWUUkoNmgYWSimllFJKqUHTwEIppZRSSik1aBpYKKWUUkoppQZNAwullFJKKaXUoGlgoZRSSimllBo0DSyUUkoppZRSg6aBhVJKKaWUUmrQNLBQSqlLXEFBAatXr2b+/PmsXr2agoKCkV6SOg+Xy+BkqZ9Dh/2cLPXjchkjvSSllBpSGlgopdQlrKCggOzsbCoqKsjJyaG8vJzs7GwNLkYZl8vAWWRQUgINDXCsBJxFhgYXSqkxxTLSC7gYKisr2bp1K5988gnHjh2jpqYGh8PB1VdfzQMPPMC8efNGeolKKTUkcnNzycjIYNu2bVitVp588kmysrLIzc1l06ZNI7081amm1qCpCeLjwWQyYRgGlVVyfIrdNNLLU0qpITEmMxavv/46GzZsoLS0lGuvvZb77ruPBQsW8OGHH3L33Xfz7rvvjvQSlVJqSDidTpYuXYrVagXAarWybNkynE7nCK9MddXaCjabBBUgf4fa5LhSSo0VYzJjMXfuXN544w0WLlzY7fiePXv4zne+w9NPP83y5cux2WwjtEKllBoa6enpbN++nSeffBKr1YrH42H79u2kp6eP9NJUFxERUFkFhmEEMxYdbjmulFJjxZjMWNx0003nBBUACxcuZMmSJTQ0NOhv85RSY8LatWtxOp1kZWWxfv16srKycDqdrFu3bqSXprqYGGfCES3BRX29bINyRMtxpZQaK8ZkYNEbi8XS7W+llLqUZWZmkp+fT2JiInl5eSQmJrJlyxaWLFky0ktTXdjtJtJnmUibDhMmQNp0SJ9lwq71FUqpMWRcvbs+ffo0f/7zn5k0aRKzZs0a6eUopdSQyMzM1ELtS4DdbtJCbaXUmDZuAguPx8Njjz2G2+3m0UcfJSQkpMdzHQ4HZvOlkcyJiYkZ6SWoIaav6dikr6tSSqmxblwEFn6/nx//+Mfs3r2bu+66i5ycnF7Pb2xsHKaVDU5MTAz19fUjvQw1hPQ1HZtG++uqQY9SSqmhcGn8Wn4QDMPgqaeeYsuWLaxcuZKnn356pJeklFJKKaXUmDOmMxZ+v58nn3ySt99+m9tuu41nn332ktnipJRS40F+fj6FhYUcOHCAoqIiPB4PGzZsYNWqVX2+xs6dO1mzZk2Pt2/atIn58+efc3z//v384he/4Msvv8Tj8TBz5kzuvfdebr/99gF9LUopNd6N2cCia1Bx66238txzz/VaV6GUUmr4vfjii5SVlRETE0N8fDxlZWUDvtbixYtZvHjxOccnT558zrGdO3fyN3/zN1itVv7yL/+SqKgo3n//fR599FHKysr4+7//+wGvQymlxqsxGVh0DSpWrFjBxo0bNahQSg27goICcnNzOXLkCJdddhlr164lMzNzpJc1qjzzzDNMnTqV5ORkXn31VZ5//vkBX2vx4sU8/PDDFzzP6/Xy1FNPYTKZeOONN5gzZw4A3/ve97j77rv5xS9+wYoVK5g2bdqA16KUUuPRmAwsfvnLX/L2229jt9uZNm0av/rVr845Z/ny5cyePXsEVqeUGg8KCgrIzs4mIyODu+66i3fffZfs7Gzy8/M1uOji2muvHfbHLCgo4OTJk6xatSoYVABERkby4IMPsnbtWt5++20dMqiUUv00JgOLQCrd5XLx61//+rznJCcna2ChlBpSgQyF0+nE5XKRmprKtm3biI+P54c//CFZWVnk5ubqzImL5Pjx4/z+97+nvb2dpKQkrr32WmJjY885b9euXQBcf/3159x23XXXdTtHKaVU343JwOLZZ5/l2WefHellKKXGka4ZipycHH71q19RV1dHYWEht9xyC1arlWXLlpGXlzfSSx2z3nnnHd55553g52FhYTz88MM88MAD3c47fvw4AFOnTj3nGg6Hg5iYGE6cOHFR16qUUmPRmAwslFJquOXm5pKRkcG2bduwWq0cPHiQHTt28Pzzz3PLLbfg8XjYvn076enpI73UMSc2NpbHHnuMG2+8kaSkJJqamti5cyf/8i//wsaNG4mMjOTuu+8Ont/S0gJAVFTUea8XGRlJRUVFr485lINUW10G1VU+mlsMoiJNTIoPIWKUT+jW2ScjS5//kaXPf880sFBKqV503d6Unp7eYwG20+kkJycHq9UKwLp169i+fTuffPIJ/+///T/effddnE4nGzduHO4vYcy77LLLuOyyy4Kfh4eHs3LlSjIyMli1ahW/+MUvuOuuu4a03fhQDVJ1uQycRQZNTWCzQYcbHNGQPsuEfZQGF6N94ONYp8//yBqvz39fgykd6qCUUj0IbG+qqKggJyeH8vJysrOzKSgoOOfc9PR0tm/fjsfjAWDBggVMnToVh8PBm2++SWJiIlu2bGHJkiXD/WWMW7NmzWLevHnU1NR029oUGRkJQHNz83nv19LS0mM2Y6jV1EpQER8PMTEmEuKhsUmOK6XUpUYzFkop1YOztzc9+eSTPRZgr127luzsbLKysli2bBnbt2/n1KlTbNmyhRUrVozL33CNBoHfsrW3twePBdrInjhxgiuuuKLb+Y2NjdTX13PVVVcNy/paWyVTYTJJdsJkMhFqM2htHZaHV0qpIaUZC6WU6oHT6WTp0qXB7U2BAmyn03nOuZmZmeTn55OYmEheXp5mKEYBr9fLwYMHMZlMJCYmBo8vWrQIgB07dpxzn88++wzgvIP2LoaICNn+ZBiSoTAMgw63HO8vl8vgZKmfQ4f9nCz143Jp1kMpNbw0sFBKqR6cvb3pQgXYmZmZbNq0iS+//JJNmzZpUDHE6urqKC4upq6urtvxL774IvjGPMDr9fLcc89RVlbG9ddfz4QJE4K3XXPNNaSmpvLOO+9w6NCh4PGWlhZeeeUVLBYLd9xxx8X9YjpNjDPhiIbKKqivN6iskhqLiXH9q68I1GqUlEBDAxwrAWeRocGFUmpY6VYopZTqwfm2N2kB9tB66623KCwsBKCoqCh4LDBHYvny5SxfvhyAN954g5dffpmHHnqo24TtH/7whwBcddVVJCQk0NzczO7duykpKSEpKYmnn36622NaLBaeeeYZHnjgAb797W9z2223ERkZyfvvv8+pU6f4wQ9+wPTp0y/61w5gt5tInyU1Fa2tkqmYGNf/wu2utRomkwnDkCClptZgyigtAldKjT0aWCilVA8C25tyc3PJy8sjPT2djRs3aiZiCBUWFrJ58+Zux/bu3cvevXsBGWYaCCx6cvfdd/Ppp5+ya9cu6uvrsVgsTJkyhb//+7/n/vvvx+FwnHOfzMxM/uM//oOXXnqJrVu34vF4mDlzJo888ggrV64cui+wD+x206Df/GuthlJqNDAZZ+eP1SVTZDleW56NZfqajk2j/XXVnuz9N9pez5Olfo6VQMJZGYu06TAldWh3PY/2f89jnT7/I2u8Pv99/TmhGQullFLqEjcxzkRtrQQToTYjOA+jv7UaSik1GBpYKKWUUheZy2UMuo6iN0NVq6GUUoOhgYVSSil1EZ09XbuyCmprDdJnMeTBhRZqK6VGkgYWSiml1EWkHZuUUuOFzrFQSimlLqLzd2xCOzYppcYcDSyUUkqpi2gop2srpdRopluhlFJKqYtIOzYppcYLDSyUUkqpi+hCHZsudscopZQaLhpYKKWUUhdZTx2b+tIxSgMPpdSlQgMLpZRSaoRcqGNUX1vVavChlBoNNLBQSimlRsj5O0YZwY5RfWlVO1xzMpRS6kK0K5RSSik1Qi7UMaovrWq7Bh8xMSYS4qGxSY4rpdRw0oyFUkopNUIu1DEqIkIyEIZhBDMWZ7eqvVDWQymlhosGFkoppdQIuVDHqL60qu1L8KGUUsNBAwullFJqBPXUMSpwW2+BB+icDKXU6KGBhVJKKTWK9RZ4BG6/UPChlFLDQQMLpZRSahTqTwvZCwUfSik1HDSwUEoppUaZwbaQ1bkWSqmRoIGFUkopNcqcPb+irc3g0GE4WmwwMc4gORlSks8fLOhcC6XUSNHAQimllBohtbV+jhRDXR3ExsJlMyAuzkxrKxgGVFZCY5NBZQWUlUNYGNTXwfGTMDvdYO6V5wYL5wtKjhZDQ6PBjDRDsxdKqYtmwIGF2+1m//79HD58mLq6Opqbm4mKiiI2NpaMjAzmzp2LzWYbyrUqpZRSY0ZtrZ8PP4KaGggPg5LjcPIkZC31ExICJSck49DSAsdKoL0D5k+FyZMlECk9BUlJxjm1FV3nWrS3G5wshfp6CVRMJs1eKKUunn4FFn6/n+3bt/Pmm29SUFCAx+MBzkwMhTMDeqxWK9dccw1//dd/zbJlyzCbdci3UkopFXCkWIKK6dPAZAbDD8eOy/HYCXKOYYCnQ/62WsCEBAdWm5zfdQheoK6iolKuGxZmUFUFpWVyjdhYaUMbmMrdn2LvrjUbSYlerFZDAxOl1Dn6HFi8/fbbvPTSS1RWVmIYBomJiVx55ZWkpaUxYcIEIiIiaGlpobGxkWPHjrF//34+/vhjPvnkExISEnjkkUe44447LubXopRSSl0y6uokU2Hq/L2byQz2MDnuiIbpUwGTBBMtreB2g8/oDDbckpUIDMHrWldhAhrqYduHUFcP7W2QlCSZj5Olcu3+TOU+u2aj1eUjxKxZD6XUufoUWKxcuZKioiLS0tL4/ve/z2233UZqauoF71daWsqWLVt45513eOKJJ/j3f/938vPzB71opZRS6lIXGyvbnwz/mYyFq12OR0QAJkiIhwkOsFrhwNdQWyuBgtsDyYnycSCbEKir6OiACRNkW1WbS+oywsIhJgaaW8DjgbS0vq/z7JqNqCgzR472P+uhlBr7+hRYhISE8PLLL7N8+fJ+XTw1NZXvfe97fO973+ODDz7glVdeGdAilVJKqbHmshny5v/YcclUuNph0kQ5Hh7edZo2OByw8GrABDW1EBsqb/RPV0CrS7YjB+oqGhoNPF6IT4DYOAgPh+qaztsNiIzo31TurjUbIH+H2vqX9VBKjQ99Ciw2b9486Af65je/yTe/+c1BX0cppXpSUFBAbm4uTqeT9PR01q5dS2Zm5kgvS6nzioszk7X0/F2hgG7TtJOTJRioqTUoKTmTPTAMCT7CwqDDLTWP7W1gCQFzCNhCIClRMiIhZglQ5syWLUx9nXURESEtaw3DCD5mh/vMNiyllArQdrNKqTGhoKCA7OxsMjIyyMnJYfv27WRnZ5Ofn6/BhRq14uLMxMWd/7bzTdNuPWmcJ3tgEGqTzEZllWyTqq6V7IfJBE0tkqlwOGDmDJl/0Z9ZFxPjumZPDFpa/Tii+5f1UEqNDxpYKKXGhNzcXDIyMti2bRtWq5Unn3ySrKwscnNz2bRp00gvT6kh0VP2oGtGo7YWbFbweqVFbUM92CMg/TKYOVOyEidL/d3qJgKZj/PVTdjtpm7Zk6TEEKxWnYWhlDpXnwKLvLy8QT1ITk7OoO6vlFIBPW13cjqd5OTkYLVaAWl5vWzZskF//1IXV35+PoWFhRw4cICioiI8Hg8bNmxg1apVfb7Gnj172LZtG7t27aKsrAyXy0VycjJZWVl897vfJTo6+pz7LFu2jLKysvNeb/Xq1fz0pz8d8Nd0MZ2dPehwE8weBDIcU1JlRsbuPdDRCKmpslXK5z9znfPXTRg91k10zZ7ExFior9egQil1rj4FFo8//njwm09/BH6jooGFUmoo9LbdKT09ne3bt/Pkk09itVrxeDxs376d9PT0kV626sWLL75IWVkZMTExxMfH9/hmvzePPPII9fX1LFiwgOzsbEwmE7t27eI3v/kN77//Pv/1X/9F3Hn2G0VFRXHvvfeec/yKK64Y0NcyHM7OHvRUG9HqkqLtq68+f0ZC6yaUUhdDnwKL733ve+cEFidOnOB///d/sdvtXH/99SQmJgJQXl7Ojh07cLlcrFy5kilTpgz9qpVS405BQQFr1qwBICEhgRUrVnTb7rR27Vqys7PJyspi2bJlbN++HafTycaNG0d45ao3zzzzDFOnTiU5OZlXX32V559/vt/XuPfee8nJySE+Pj54zDAMnn76af7zP/+Tl19+mX/4h384537R0dE8/PDDg1r/SDhf7cXZLpSR6C3zoZRSA9WnwOLsb7zHjh3jrrvu4o477uCJJ544J83c3NzMhg0b+OCDD/iv//qvoVutUmpcCmQqAObOnUtFRUUwUxHY7pSZmUl+fj65ubnk5eWRnp7Oxo0bWbJkyQivXvXm2muvHfQ1/u7v/u6cYyaTiQcffJD//M//ZPfu3YN+jEtNRASUlkJ7h0FHO4SGyVC95GS5vafMB8DJUv8FO0X1taOUUmp8GVDx9gsvvEBsbCz/9E//hNlsPuf2qKgonnnmGfbs2cMLL7zAL3/5y0EvVCk1fgUKs+Pj46msrOS9995jxYoVvPDCC1RUVAS3O2VmZmqhtgqyWORHXEhIyHlvd7vdbN68mcrKSqKjo7n66qvJyMgYziVeNGaTDN+rrILoSMAsbWcj7GfOOTvz0ddOUa396CillBpfBhRY7N69m+uvv/68QUWA2WzmyiuvZMeOHQNenFJKAcHC7BUrVpCdnc2KFSsIDQ3l448/BjjvdiedaaH+53/+B4DrrrvuvLdXV1fz+OOPdzv2F3/xFzz33HPExsZe9PWdbaiyAC6XwdeHoL1duj61ucARJTUXrS56bG979oRtwzAoLYUOt4Ej2giuqaLCS3GxdJoyOtvYNjbpJG6lFPQcGfTC7XZTXl5+wfPKy8txu90DeQillAoKFGYvWLCA/Px8EhIS2L9/Pw6Hgy1btpyz3SmwdaqiooKcnBzKy8vJzs6moKBghL4CNdwOHTrEL3/5S+Li4njggQfOuX3VqlW8/vrrfP755xQWFvLmm2/yjW98g08//ZQHH3wQwzCGdb2BbEFJCTQ0wLEScBYZuFz9X0dNrUFNLSROhmlTIS0N2trg9GkoLuaca7pcBidL/Rz4GhoaoaNDjnd0QNlpKNwDX30FO3fB7j0Gu/d6qauHlla55slSwNBJ3EqpAWYsrrjiCvbs2cO7777Lrbfeet5ztm7dyt69e1m0aNGgFqiUGj8CWYb9+/fj8/kICQlh7ty53HTTTfz4xz8OFmZXVlYC8Prrr5+3hkJnWoxvpaWlfPe738Xn8wW37p7toYce6vb5vHnz+Nd//VfuueceCgsL+fjjj7nxxht7fAyHw9Fr1r6/Ghu9+P0+Zs40B7MF5RV+PJ4QYmL696P6VJmHCRM8VFQYuNoNmhoN2toNQkKgrd3KseNmJsaa8fpkQndNnZ+OdrDZ/JRX+LDbQ5iRZqGmxsvpcjeTE8xYrSHU1ftwFvmIsHtITAolMUHWVV3jp7UNkhJt/V6rGpiYmJiRXsK4ps9/zwb0HeDhhx/mvvvu44c//CFvv/02K1asICkpCZPJRFlZGe+99x6fffYZISEh53zzVkqp8wlkGVJTU6mursZms+F2uzl69Ch/+tOf+NnPfsb777/fp8JsnWkxfpWVlXHvvfdSV1fHL37xi35tfzObzaxatYrCwkL27t3ba2DR2Ng4BKs943S5H7cbmpvPbCXyuA1Ol4PD0b8AxtXq5/QpyT40NEBjswQQl8+G2BgPu3dDVKQUcp8qk8zD/LkwMQ5aWqDoCLhcUFICTU3SLepoHWCCmmpojwar1UN7WwcRdqhrgIRJYLW263yLYRATE0N9ff1IL2PcGq/Pf1+DqQEFFosXL+bFF1/kqaeeYseOHXz22WfdbjcMA4fDwT/+4z9qRxalVJ90LdCOiIhg69atrFixgsmTJxMREcH777/Ppk2bglmN7373uz3WTuhMi/Hp1KlTrFmzhqqqKn7+85+zdOnSfl8j8MOzra1tqJfXqyGdK2ECqw0mTgSPBzxe6QqVmCSTuD0eqY8ID5fPK8qhOBJmzpDtUw0NssWpsUk6SZ0+LcFDzASwWCAyQuZgREZKMbjJDHNma+G2UmqAgQXA8uXLueaaa3jvvfcoLCykqqoKwzCIj49nwYIFrFixgsjIyKFcq1JqDAtkGfLy8sjJycFutwezDIHjvQ3I6xpc6EyL8adrUJGbm8vy5csHdJ39+/cDkBzoyzpMhnKuhM8ntRUAVitMaIToaMlatLkAA0LMcPQonCqVgMbtlmxFRwdUVUFYONTXS42Fr3PLVGOjrGnOnBA8bi/t7fIYFgtgkloNDS6UGt9MxnBXqA2T/Px8CgsLOXDgAEVFRXg8HjZs2MCqVasueN9LJcU1XtNxY9l4fk1Xr15NeXk5CQkJ3VrKTp48mYqKiuAQzoqKimDthMfjISsri8TExHNqJ87uCrVu3boRy6CO9td1tOwXDgzI6+l7dV1dHfX19cTExHSrmwgEFZWVleTm5nLTTTf1+jhHjx4lPj7+nBlMe/bs4f7778cwDP7v//6PpKSkHq9xMV7P/naF6un8k6V+jpVAQrwECsdPSICQmiIBRHOLbHtyOsEAKirAZJLAwmKB1ClQXQnlFZK1MHxgCpHWshPjICcnjMb6dtraJGCZOBEwSdCRPkvnWVxso/37yVg3Xp//i7oV6oknnmDBggXceeedvZ739ttvs3v3bjZs2DCQhxmUF198kbKyMmJiYoiPj6esrGzY16CU6rtAlsHlcnH8+HHS0tJwu90cPnwYn8/Hd77zHV566aU+107oTItLw1tvvUVhYSEARUVFwWO7du0CJDseyD688cYbvPzyyzz00EPdBreuWbOGsrIy5s+fj9PpxOl0nvM4Xc/funUrv/nNb7jmmmtITk7GZrNRVFTEZ599htls5umnn+41qLhY+jJRO6C3mRPdsx+y5WnGdEhIkK1LdfXweYEEFOF2aT9rs8GhwxATA7ETJJPR1AwYEBUt26nMJvlz+rSf1BQwAampZ1rTVlZpy1mlxrsBBRabN28GuGBgsXfvXvLy8kYksHjmmWeYOnUqycnJwd+CKaVGr66Ts+vr66mvr8disZCSkoLZbOaJJ55g/vz5WjsxxhQWFgZ/pgTs3buXvXv3ArIl6ULbmgK/OPryyy/58ssvz3tO18BiyZIlFBcXc/DgQXbt2oXb7SYuLo5bb72V73znO8ydO3cwX9KwON/MieAb+1Rzt6naycndsx+1tX7+vBM63BJUWK2S2XBESYBxulyKtj1ucHvAFgo2K4RY5NxQq2ypMpnlfmFhsoZQm6EtZ5Ua5y5qXziPx9PjxNOL7dprrx2Rx1VKDVwgy7B69erzbnkCqcXQ2omx49lnn+XZZ5/t07kPP/xwtwAh4HwZit4sXryYxYsX9+s+o01rqwQBJpMEC2e/se+a/QhumTopQ+7a2yAxHrxuKfK2hEB1jWyLCg2Fkydl7gUmCSi8Xvnb74O2DvD65FhltQzImzbVIDSUgRebK6XGjKFrwn0WwzA4ePDgqNm7q5S6dDidTpYuXXrOlqfKykry8/NJTEwkLy+PxMTE8w7IU2qsi4iQN/KBMsmeukidPXjv8GHY8blkGmImSG2FyQQTJkDSZDnu90s2IjQU7HYJItrawNx5rL3DoKJSApLjJ+DESdmKNdBic6XU2NHnjMWaNWu6ff7pp5+ecyzA5/Nx8uRJampqyM7OHtwKlVJjxtkF1edrFQu9t4vV2gml+t5FquuWqY4OCQCqKiEkRIquHRaIiQVXG5gM2PeVfGwYUsgdHQU0QXiY1FOE2gDMNDVLy1qrBdyd26ECjzeRoW8929/CdqXUyOhzYBEopANJudbU1FBTU9PzhS0WbrzxRh577LHBrVApNSb0tVUsaLtYpS7Ebjd1q6Po6c12YMtURwccLZai7IjOTvA2m2QxvNWyzam8EmrroLGhs1jbLH8cDoiKksJvrw8mRIPPK0XhLS1Sh9HRDoYfjpWcKSIfqjf+vRWqa3Ch1OjS58Diww8/BCTdunz5cm6++eYegwar1UpMTExwG8OlxuFwYDZftF1iQ0q3mo09Y/U1ffnll7n88svZtWtXMAuxaNEiXn75ZW655ZZu595yyy189NFH/OxnP2PLli3MmTOHf/3Xf72ka6fG6uuqRk5fukhFREBp56yKU2XSbrajVVrRRkdBZSUyg6JV2s+63bINyu+XP54OsE+ESZOkuNvrh4ZGg+YWOc9ikSLvs4vIT5UZYBiUlQOGFJCnJA8sy9BroboGFkqNKn0OLLoOC3rooYfIyMgY9gFCw6WxsXGkl9An47WX8lh2qb2mfd3aBHDgwAFycnJoaWkJHrvhhhvIy8s779c8Z84c/vCHP3Q7dik9N12N9tdVg56xa2KcCQOD06dl6F1zM0yaKFua2tplIvec2fD555KNCPw+0GyH9naIjIKUFMlOhIVJEGGzSX3GtKlQUSktarsWkWMYfLlPBuo1NkpGwx4OV803WLSw/1mGCxWqK6VGjwH9Wv6hhx4a8FRTpdTYENjaVFFRQU5ODuXl5dx+++3cfPPNzJ8/n9WrV1NQUBA8P1A34fF4ALRVrFLDwG43ET9JMgaT4yElWQIMvx20QygAACAASURBVB9OnZK6jJgJknmwWqGlVbZBBYq63R7ABMlJMDsDOrxQXWNgNktRd2KiBByBIvKGBoM9e2HXbvj6INTUyATvoiOw/SM4etTA5TI4Wern0GE/J0v9uFy9z+nta6G6UmrkDSiwOH78OHl5eZSWlnY7vn//flavXs1VV13FX/7lX7Jt27YhWaRSavTJzc0lIyODbdu2sX79ejZs2IDf7+fw4cPBQCM7OzsYXKxduzbYKnb9+vVkZWXhdDpZt25dt+sWFBSwevXq8wYnSqn+i4uTOon0WXDVfJg6RWZTzJwJ8ZOk01NyshRom80SUISGQlioBB6OaJg6VSZxh5jA4TBRUSnTvGdMl2tUVsHJkwbb/yQBS1OTbME6fkKmd3u9cLIUPvkM9n91pkvVsRJwFhm9BhcT40w4ouUx6usN7UCl1Cg2oMDit7/9LT/+8Y+xWM7spKqrq+P+++9n3759tLe3U1xczA9+8AMOHz48ZItVSo0eZ7eEfemll4iLi2PChAmsX7+eDz/8kPT0dHJzc4EzA/B6axV7vixI1+BEKdV/Xd+Yt7VJ4DBnNlx3jdROVFbBxDhpOTvBIVubLCGyBWrGDMlwFB2BkmMSYFx5uY15V8oE7527ZUJ3exuUHJcOUcnJkvlo74BWlxR1h9rA64F9X8JHf5ItUk1N4HJ1FpWX9RxYSKG6ibTpssa06ZA+S7tCKTUaDWhA3t69e0lPTycxMTF47L//+79paWnhvvvuY+3atXzyySc8/PDD/Pa3v+W5554bsgX31VtvvUVhYSEARUVFwWOB7lbLly/X7VxKDcLZLWEDv0TIyMgAzsyeyMvLC97nQq1iu2ZBrFYrTz75JFlZWeTm5mqLWaUGqKcOUgAhZoOqaunqNG+ubFuyhUKIWc6rroLwUNnS1NomQQj4KDoC5adlsF5NLcTFSkep+kYJKnw+8Hhky1VllRR+t3XIEL7yCmholC1YKangaoGDhyAl2egxWOhLobpSauQNKLCorq5m4cKF3Y59+umn2Gw2HnroIWw2G8uXL2fevHns27dvSBbaX4WFhWzevLnbsb1797J3715AitE1sFCq/1577TX++Z//mbq6Ovx+P/Pnz+ev//qvqampoa2tjX379rF69Wq+//3v97uGwul0kpOTc85gvK7BiVKq/85+Y+5yGez/yuCwU4qjXW1SmO2IljqMiXGy1WlCDGRkSFahoUla0VaUu6mqlo/tEZIB8XqlRqO+TorDp02V4KKhQTIWfqOznqMzG+LxgdsLJsAeKffXLk9KXfoGFFh0dHQQGhoa/Nzn83HgwAHmzZtHRJdqquTk5BHbCvXss8/y7LPPjshjKzVWvfbaa/zoRz8iLCyMq666iq+++ory8nJ++ctf4vP5APn+sGvXLm6//XYAwsPDKSgo6LFbVFe9DcZTSg2dmlqDU6cAkwzLs1okw1DXCBOaJLiIi5UAw2SSegu3G44UQVOLD5NJOkVZrXDsGMTGSsAQGgq19TL3IsQcKOyWLVF2O0xOkO1PdQ3Q7oKqatna5IhGuzwpNQYMKLCYPHkyx44dC36+Z88e2trauu2VBnmDER4ePrgVKqUuut7axna9rby8HJvNxtGjR7Hb7Xz88cfccccd+Hw+Jk6cSFRUFCUlJQCYzWYmTJjAoUOHuPXWW1m0aBFPP/10rwGGDsZTani0tso2pY4OqYWIjpbOUIYhAUaHGzDB6XJ589/WJkFEY7PcHtE5dbu5Wa7napX6B8MAmwUw5Jp+v7SxDbURDGISJ0ugERYuAcyUVCnw7qnLk07dVurSMaDi7WuuuQan08nvfvc7Dh8+zM9//nNMJtM5W4uKioq61WEopUaf3gqmz77N4/Hgdru54447mD9/Pn/7t3+LzWYD4Nvf/jYFBQVERkYSFRVFTk4OdXV1TJs2jYkTJ3Lo0KELFmL3pcBbKTV4EREy4M7VKpkFE9Jm1ueXoKP4mByrqoQDX0sA4XLJkLrJCRAbI7UU1TUSeLS4ZLuTq61zPkZnIOGYADPSYM4c6TrlLJJtVRaLZEMmTZSgwhEtk73PbkMbmLod6CJ1+DB8+pnBF1/2rVWtUmp4mYxAY+h+CLzJCAySMwyDW2+9lRdeeCF4zpEjR7j99tu55557eOqpp4ZuxcNgNA+y6mq0D91S/TcSr+nq1aupqKgIFkx7PB6ysrKCvxToetu0adNoamoiMjKS+++/n1deeQWv14vFYiEjI4MPP/yQ6dOn097ejmEYmM1mNm/ezLZt29i8eTMOh4PExMRxV4g92v+v6oC8/hvNr2dfBGosCnZJgbY9AmxWeYPf1g5z50LiZBOHnQZHj0rw0dQiAUZlFbS2yIwLt1uuZw+X+7ra5Zg9XAKJ2DgJGMwh0NIiQUtyknScipkAqanSDleCCukUZbNJxiQQbJRXSPajqkra0zY2SreqSZPknPHWIWq0fz8Z68br89/XnxMD3gqVn5/Pm2++SV1dHZdffjmrVq3qds7BgwfJyspixYoVA3kIpdQwuVDBdOC2goKCYB1FS0sLr732Gl6vF4C4uDicTieZmZm4XK7gtSMjI1m1ahVTpkwhIyOD2bNnayG2UqOA3W5i7pVgtxvsKYSmRgkuGhokm2EPD5wnW58aO+sh/J1bpTweyToA0JmpaO+QrU8gfxsG+GugPkSu2dQstRhzr5QZGpVVElRMSTVzstRPU5NkREwmE4Yh8yoaGiVzcrIUTpVJ4GEYUFsLM2dItkOLvpUaPQYUWAAkJCTw8MMP93h7dnY22dnZA728UmqYXKhgevv27SQlJfHEE0/QNcHZ2toaPL+yspLY2NhgfQVI0bbFYsFisVBSUsJLL73E448/Tnp6eq81HUqp4SHBhYnkJD+798ibdatV3qyXVwAYVFfLx+0dkm1wu6XLk90uNRZujwQMhiFdoMJC5VyTSbZKudqkoLutXQq5vR4or5RMRajtTMF2a6tkKkwmCRBMJhOhNoP2dqiulccJDwUjonPLlk8yF6GhWvSt1GgyoBoLpdTY0dtE7LVr13L48GEef/xxzGZzMKsBMG3aNG644Ybglqn6+nosFgsOhwOz2YzZbKa2tpaOjg5sNhuPP/44TqeTm2++udcheDp5W6nh1eqSDk9XXy2D86Kj4asD8HmBDL2bPFmyA2nTYcoUmDgRIiNh5mUQO0GCCZBAQ4IDCTTsdvk8PBQmxUFqsrShdbXIvIwOt2QyXC6Dxiap6ygvN2hvNzAMgw63DNuzWmQbldcnczLC7VIo7mo7cw2l1OjQp8CiuLh4SB5sqK6jlBo6XQumN23aREVFBbGxscGaqauuugqTyYTdbmf+/PkAhISEUFdXx8cff0xFRQUOh4OUlBSWLl1KbGxssL7ir/7qrzCZTMEOcVu2bOH//u//gkPwzp7QrZO3lRp+gWxBRwdUVEo9RVSEZDB8XkhKlDf4cXEwfSrMnmMjNVXe7Ht8EkSEh4O1M6gAiI6UdrXxE2UWRloaJCZJEIMJjhyFsjIoKIDN+QanyySbsXMXbP8TfPGlBCxxsRATK0XmrhZZW3sbNNTLuh3RZ4b9KaVGXp8Ci9tvv50f/vCHwQnW/XXo0CHWrl3LypUrB3R/pdTFlZmZydq1a6mrqyMxMZHVq1cH39QfPXqUsLAw2tvbcTgcZGRkYDabaWpqwuFwMGnSJKxWKxkZGaxdu5bjx49jNpsxDAOn04nZbCYtLY0JEyawZMkSnE4nS5cuPaemw+l0dpu8fXbQoZQael2zBUVHpcYifpLUOlx5pUzhbmmFyAjZylRXLzUPKcmQMEkKqGNipEtUqE22QVks0lY2OlqyCa0tMp27ox1iHLIt6vgJOH4cTpRKduTECRmSZxhQUSFtbpuaJABpbpJhehXVEug0NEJDswQeEfaRfgaVUl31qcbiwQcf5Le//S3vvvsuGRkZ3H777SxatIiMjIxuWyMC3G43Bw8eZOfOnbzzzjscPXqU8PBwHnzwwSH/ApRSQ6Prm3qr1cqTTz5JZmYmJSUl2Gw2vF4vO3bsoKOjI1hrceONN/Lee+/R2trKI488QmZmJpMmTaK+vh6v10tiYiIbN25k69atwaLt3mo6dPK2UsMn0Mq1qUk+dzolI4AhWYbJCZIVqK6Bygp5Ux8dDWnTQ4iKkgzHpImw/yu5b3WNDMazhUJqinSFammRid2BCdzmELlOS4sEH60uCUrKKoAKSEmS42YzHDwECfGyFSshHpImS9BhsUgReUWFBCb2cIOFCwxmzhhf3aGUGo36FFg89NBDfOtb3+JXv/oV+fn5PPfcc5hMJiwWC8nJyTgcDiIiImhpaaGxsZGysjJ8Ph+GYRAVFcWaNWv47ne/S2xs7MX+epRS/RQopN6+fTupqakUFhaSmZmJ1WrFMAwsFgt+v5/p06fj8/k4ceIEIG/633nnHaZNm8aRI0d4/PHHWbZsGS6XC4/Hw9tvv811112Hx+PhRz/6UbAYvLcheC+88IJO3lZqmNTUSlCRmiJZitBQOHRYahimTpHPk5JkG5PfB5ggORGuuDKcffvaaGiQrU92OySnSN2D2QQ+JECpqZFMiNkkdRaBugqbVWZouDugsrozC2ICkwHRUVIMPmmSZDUaW2BChzxGWKgEExWV4PNAcbs8pt8n93G5jM5OVxpcKDVS+j3Hor29na1bt/LRRx+xd+9eampqzjln4sSJLFy4kBtvvJFbbrmF0NDQIVvwcLhU+hOP117KY9lwv6aBmoaMjAyam5upqKjA5/ORn5/PggULSElJITk5mVdeeYXc3Fz2799PZWUlFouFBx98MBgU/OxnP+P999/H6XSSkJDAF198QUZGRrfAoeugu7O7Qq1bt44lS5YE15Oent7jfS9Fo/3/qs6x6L/R/Hr21aHDfhoaICZG3oi3txsc+Fpum5F2ZpbE2XMiYmJi2Le/lmMlkoU4WSrtZUtPSTbB5ZItSsXF0tHJ8EuGAT/4kXMsFqmfMJBWt+0dkrm4fI5kRWJjZYtUiFla01aUy4yMkydlCnhrqwRAU1KktiM6CqZNgyWLpX3tWDbav5+MdeP1+e/rz4kBDcjrqq6ujtraWpqbm4mKiiIuLu6Sz0xcKv9gxus/7rFsuF/TrsPxCgsLWblyJRaLhcmTJxMZGcnXX3/N9OnT+fzzz7Fardx1113s2LGD6667jrfeeqvbML2uQ+96Chz6YjD3Ha1G+/9VDSz6bzS/nn11stTPsRLZZhSYHVFaCtGOzuF0EVIYfXYGICYmhrKyOpxFBl/ug2PHobpa6iMsZmjrkPu2t8n2qI52CVJA2sTarBIM2GxnrmkYEBUpXaemTZOtU42NMkSvrh7q6qTVratNhvTZrJLliI2VICYlFaamSl3I7AwNLNTFM16f/4s6IK+r2NjYSz6QUGq86lrTkJmZyZYtW3jwwQcpLS1l2bJlfOc73+GJJ54Iblv6+OOP8fl8PProo0DPNRCZmZkDnq49mPsqpfpuYpyJ2loZRBdqk/aukyb1bZK13W4ifRYUFxtUV0lNxMSJUjNRXSvn+P1Sh9HhPtOC1jCkbWwosoXJ45XC8JRkCTTaXFLU7XHL9qzwcIjySmG3zw+2Frmm4ZftVIH3d16PXKuxSTIxPQVFSqmLa9CBhVLq0nV2IfWCBQuIjIxk2bJlwTf3c+bMITc3l7y8PBwOB9HR0Vx99dUAWgOh1CUsEBzU1Bq0tvacoejt/lFRBpERndubrFIHER4m2Qp354Ruv18CAV/nVG6LBdrdEkiEhcnE73a3BA9VNVKTERUt3aOgsyOVrTMgiYH2dglQXG0S0LhckiXB6JzM7Zep3rW1BumzutdcuFzGgL9epdSFaWCh1DjWWyF1QNcMQqAGorfzlVKXDrvdxJRBvLG22WS+hccjxd5RkRIA1NTI3yY6p3L7z9zH6+mcedH5uccjtRN+nwQXJrNkHmImyP2amuXa8ZOk9W1IiDxuTIzUZjiiYPo0mBQvXaoaGyXoqK6GiAiDWZfJI3XtgmWz9Rx8KKUGbmxvRFRqjBqq6dRdh+Pl5eWRmJjYa6F0f89XSo1tgcF5YeESGLS1S3Aw6zJYvEje/IeFSZYCJJjwG52D9EwSZDQ2SHDh68xqeDyS8aiqltqKqippd1tdLdmQiAjpZJWcBFfPgzlz5PqNjXC0WGZgtLRCfZ20rHW5pJQ00AUrPl4K1hPiJYCpqR1UqalSqgvNWCh1ienaySknJ4ft27eTnZ1Nfn4+mZmZF7xvoDA6ISEBgMrKStLT0/n1r399wfvD+WsgAtfdv38/Pp+PkJAQ5s6dy9q1a/t0TaXUpSkl2cTcKw2OlUgQUF8v26FCQ6VFbNo0OF0pwUFHh2xdMpsl62C1AoYEEhaLFGf7fPIHIDAly2SSYu2GzmLutOmy7SpuggQQhiEBx5GjEGKB9Mvkfm4vnDoF+w8YzL3izIRxU+d4cJPJRKhNtkUppYaGZiyUugR0zVCsWbOG1NTUfk+nDgQkFRUVLF68mD179rB7924WL14cnLI9kMxH4LrFxcVUV1fT0tJCdXU1xcXFA76mUurSYLebmHuliYULJBMQFQWRkZJdOFUGmOTz8HDJNIR21lWYTRJYmEPkj99/5k9AoD4jNBRCw2RmRWNz53YpZAZGaBjMmwszZ8AEh2Q/jpVA4V4oLZWajU8/hQ8/NDh1Sm4rrzBobzcwDClYj4gYqWdPqbFHAwulRrmuAUFOTg6NjY0cP36cwsJC4ExnJqfT2et1uk7Wbmxs5PLLL+fyyy/nxIkTwezFmjVreO211/q1zSpw3bS0NC6//HKOHj3KnDlzmD59ep8CHjW+5efn85Of/IRVq1ZxxRVXkJ6ezttvv93v6/j9fv7whz9w++23M3fuXDIzM3nkkUc4fvx4j/fZv38/f/u3f8uiRYuYP38+d955J//7v/87iK9mfLLbTYSFycyJSZNkFkVqqrz57+gAV6tkKXw+mbptGBIsGIYct1gkg9FTlYPNJgGJzweWECnQnjRRai/q6qSl7YmTcj13u3SVaul8zNpaOe/zXTIh3O2W7VEHvpbAwxEtBdxKqaGhgYVSo1zgjfvPfvYzDh06REhICAA/+clPgL51ZiooKODTTz/lxIkT3HPPPezfv59ly5Yxe/Zsdu/eTVVVFXPnzqWhoYEf/ehHFBcXk5OT06dMhtPpZOnSpRQVFbF06VLsdjvLli3jyJEjfQp41Pj24osvsmnTJk6fPk18fPyAr/MP//AP/OM//iN+v5977rmHG264ge3bt3PnnXdy9OjRc87fuXMn3/72t9mzZw8333wz3/rWt6ivr+fRRx/l17/+9WC+pHHD5TI4Wern0GE/xcVSX2Gzgq1zYvekeMlOTJoof8LCALOcYyABRZits+tTmBR0B7ZKWbsEGyFmyWoEgouoaAkm6upg1x744AP48+dw8DBU10mthadD5mckTZbr+X2yFcowZC0ej8zr6EtrXaVU3w16QN7ZiouLOXLkCElJScydO3coLz1sLpXBJ+N1SMtYdr7XdP78+SxevJi8vDzCw8Px+Xy4XC4A7rzzTg4fPtzrdOpAxiMsLIzQ0FASEhI4ePAg06ZNo6qqCrPZzKFDh1ixYgXl5eW0trZy/fXX8+abb/Y4AK+r1atXU15ezuTJk6moqOC9995jxYoVJCQkUFlZ2et9x4vR/n91JAfk/fnPf2bq1KkkJyfz6quv8vzzz7NhwwZWrVrV52sUFBRw7733snDhQv7t3/4NW+fktc8//5z77ruPhQsX8oc//CF4vtfr5ZZbbqGiooJNmzYxZ84cAFpaWrj77rspKSnhj3/8I9OmTevxMUfz63mxdR2QF+iwVHZaMgUWK0RHgi0MaqqhuUUG8DU1QWkZnCiBDo+cExPXGSx4pR6ipUWmahuG/G0ywNu5FSopUY47oiUgaWqW4m5Xq2ypstslOHG1yeeGDxISZGp3ZWeNR+xESEyQid9+QzIrV82/9H6/Otq/n4x14/X57+vPiQH9j3r33XdZs2YN+/bt63b8X/7lX7jttttYu3Ytq1ev5vvf/z7+rhsmlVL9lp6ezh//+Ee8Xi9Tp07lvvvuw2qVssYtW7ZcsDNTIOPxxhtv0NjYCEB0dDQlJSW0traSmJjIihUrcDqdWCwWLr/8coqKioC+bbNau3YtTqeT4uJiDh48yMyZMzl48CAlJSU4nU7WrVs3xM+IGkuuvfZakpOTB3WNt956C4Af/OAHwaAC4JprruH6669n9+7dlJSUBI8XFBRw8uRJbrvttmBQARAZGcmDDz6I1+sd0Has8eTsDkspyRIMlJ2C4yfh0EHpzhQeJhmMyy6Dy2bChFgJKmbOhPRZ8kY/Mgoi7WDrLOBua5PHCLFKzUb6ZbK1KipSAoTiEikSN5slmPB6pbWt35DsRnsbYJJBfUVHoPgYNDRJoBIVJZ2qGpvOTAOH7tmXk6X+YCcppVT/DCiw2LJlC4cOHWL27NnBY/v27eM3v/kNERER3HrrrSQnJ/PBBx/wzjvvDNlilRpvCgoKaGhooK3zJ21NTQ2vvvoqXq+XiIgIzGYzmzZt6rXda2Cr0vXXX09+fj5JSUn4/X5sNhsOh4Njx45RXl5ObGwsXq+Xr776ilmzZgF922YVaEE7c+ZMJk2aRGRkJJMmTWLGjBnailYNi507d2K324ODG7u6/vrrAdi9e3fw2K5du7rd1tV1113X7Rx1fmd3WGpvh9g4mJMBs2ZBRgZMmyrZBXuYZB1SU6TA2h4h2558XskwuFydBd2ddRhGoB2tIUHAvHkwI00Ch/oGaGiQDlHudsmQWKxS5B1hl2tE2CWT0dQkgUWrC+gcmldeLkXfjmjJlsCZ+RYlJXLtYyXgLDI0uFBqAAYUWBQVFZGent7tN0N5eXmYTCZ+/vOf8/zzz/M///M/RERE8Oabbw7ZYpUaTwJbmNrb24M/vCsqKoiLi2PatGm0trYGM4IFBQXcfPPNJCUlkZSUxM033xysiwhM1/Z4PGRmZvKHP/yBqVOncsMNN/DUU0/h9XppbW0lJSWF5uZm3G43X3/9NevXryczM5Ovv/6a/fv391rIHWhBe+jQIYqKijh06NAFAx6lhoLL5aK6upqUlJRg/VFXge1MXYu4Ax9PnTr1nPMdDgcxMTGcOHHiYix3zIiIkN/4B3ZTu9okiJg+AxZebWLRQhNzZksdQ3WtDMw7VSbtYsPCZF6F1ycBQkiI1E2YQyQwiI2R7ERIiNxvx2fw0Z+krsLf+V7f75fHd3dIxsJskiyGxyNr8fg629iGSPvbuImyNcrrk21T8ZNk/gbofAulhtKA5ljU1dVx1VVXdTu2c+dO4uLigr8BcjgcLFy4kAMHDgx+lUqNQ127OM2aNYvGxkZCQ0MJCwsjPDwcgPDwcAoKCrj99tvx+/3Edf6k3L17NytXrmTDhg00NDRw4MABZsyYwYoVK4I1GRs3buSFF14gLS2NtLQ0ioqK+MY3vsHBgwdxu91s2rSJqqoqpk+fzm233daveRlKDZfm5mZAtjGdT+B4S0tL8Fjg46ioqB7vU1FR0evjOhwOzOZLb3/+UJk5Mxa320NDo0FYqAkDL45og5QUK/ZwM4Zh0NLqZ+kNJopLvHz9tRezyUTCZAgL8xNuN9HYaGAYPhLiQ7DaTLg9HnxemaYdHi51FD4fnD4tAUGgzazZJMXYhlmyETYbMmzPJ12owkLB4YDwUKndcDhMhIebsdpMREeZ8fvN2O0huN1mGhvNuN1+4uLA4Tjzevp8ftxuaGw009xiEBVpYlJ8CBGjpNB7JOuilD7/vRlQYBEWFhbcmgHQ0NBASUkJK1as6HZeVFQUTU1Ng1uhUuOU0+kkJycHq9VKWFgYTU1N+P1+Tpw4QUREBCaTibCwMHJzc7Hb7UyaNInp06dTVFREREQEHo+Hxx57jCuuuII777yTP/7xj/z3f/83NpuN+fPnYxhG8DHWr18ffNz169eTl5dHeno6FRUVbNu2DavVyje/+U2+9a1vsWrVKv7iL/5Ch9+pcS1QrzQexcTE4O5oICnRwNY5YO6yGdKl6dSpdkJtkk1wRENCvAmPx6ChTrZA2cNlm9OBryUb4fGCYXg5dUomZXu8YPEAhmyJ8vul7sJvyN8m05lZFyEh8sfwS6ajrVUyFe3tcl6gw5TPY5CU5MOEnNvuklazp0/LuXX1cu1p02DqFIiOlmJ0gLIyCVw63BKwxMZKsBMRIW1qR6Kj1HgtHh4txuvzf1GLt1NTU/nyyy/xeDwAfPDBB8CZvakBNTU1wd+gKqX6p+sWprlz5zJt2jRsNhuhoaEsWbKE6dOnM3fuXJxOJz6fj+PHj1NVVcUdd9xBeHg4brebkJAQtm3bxv3334/H4yEsLIykpCTa2trIzs4mISEh+BhwpqYiISGhW3va1157jVWrVhEWFobVah3UQD2lhlIg69A1I9FV4HjXjEbg40C243z36Smboc6w201MSTUzO8PMrMvMzL3SRNp0GWSXNv1MK1efD5KTIW26iQkTZPuTq+3MhO7KKvDKtyBMSFDQ6pKtTGaz1GNYLN2DCpCPfT7ZVgWyfcrvl8xGW5vUgbS1QUUVHHbKx/EJErz4kTUcOCRtamtrYe8X8KdP4WixBCAm05ntUY5oOHQY9u/XOgylejOgwOKv/uqvqKur45577mHDhg0899xz2O12srKygud4vV4OHDjQa7s+pVTPAt2WsrKycDgcHD9+nNbWVm677TYqKyspLS1l3bp1pKen097ejmEYFBUV8eqrrwbfMFmtVqxWK7m5ucyePZsHHngAv98fnNYNBB9j/fr1ZGVlcejQIb744gusVis2m43Tp0/z2GOPkZKSQkJCApmZmX2e9q3UxRbI1p06dQqfz3fO7YF6iq4/iwIfn6+OorGxkfr6+vPWX6jedQ00pqSag7/Nn5bBhgAAIABJREFU71qP0dAgw+tCQmDKVMl0eDzyZj86WgrAHQ4JOMxmqYewWKRWwnJWCU2gyNvtljf77s6XP1AAHsh4BAISnxeam8HtkdkZFRXQ1ChzNSZMgFmXQX2tFHibkOOB+rbGJlmnPULrMJTqzYACizvvvJNbbrmFffv28bvf/Q6v18tPf/rTbmmSjz76iObmZt0qodQABbotJSYmsmvXLhYuXMiiRYvYtWtXtxazN910E36/H8MwcLvddHR00NHRAYDb7cbj8eB0OvnGN77Bn/70J9LT04NtZCsrK4OPkZeXR2JiIldffTWzZ8/u1p7WZDJx6tQpioqKWLduXZ+nfSs1HBYvXozL5WLv3r3n3LZjxw4AFi1aFDwW+DhwW1efffZZ8JpqaEyMk9/4V1ZJu9iGennz4WqVoCMlWTo0TU6EmWkwIVqyD4EMhN8vwYg/0C2qk8l0Znp3e7sUb/t93bMaJhNMjJNC7dAwCQ6amqG8QjIZGDLYr7ZW5l20d0BVjWyPKjkObW0SODQ0yOC9unqoqDDo6JA1t7YO5zOp1Og3oBoLi8VCbm4ujz76KLW1taSlpZ1TOJeSksLLL7/M/Pnzh2ShSo1HgW5LvXn//fcxm83B4MJsNmOz2ejo6MDn85GVlYXZbOa1117D6/USHh7OvHnzqK+vZ/bs2ec8xvz588nJycFisTB//ny++uqr4LUDwUxf2tAqNdTq6uqor68nJiaG2NjY4PG77rqLP/7xj/z85z8/Z0Dejh07WLRoEdOnTw+ef80115Camso777zDmjVrgq3TW1paeOWVV7BYLNxxxx3D+8WNYXa7ifRZ8tv99jY4XQH2SGhtkaF5Po/Ml2hsllaxACGdk7fNIbK1CTq7P5nPZCqsVvnYaunsEtVxbuBhNstWKZcLPG6pl2goleDG64XmVoiKkNa0bW2dU75N8vieFpmBMTHO4PgJ2cIVHg41VRA9QSZ4D3IEi1JjTsj6rlWb/RQdHU1CQkK3trMBkyZNIi0tDbvdPpj1jYj29vaRXkKfhIeHXzJrVX0zkNf0Jz/5SXAf+cSJEwkPDw9uhYqJiSE9PZ2ysrJg8bfb7cbr9dLY2EhFRQXf+MY3SElJCV7vo48+YufOnfz6178mJiaGO+64g3379uHz+di5cyenT5/m6aefxul08tJLL3W7rzq/0f5/NdBlbCS89dZbvP7662zbto2dO3dSXV1NfX09e/bsYdu2bQCkpaUB8Jvf/IZHHnmE8PDwbq2MU1JSqKysZNu2bXzwwQeUlZWxZcsWXnjhBex2Oy+//HK3QMRsNjNr1iy2bNlCXl4eZWVl7N69m3/6p3/i+PHjfP/73+eb3/xmr+seza/nxTaQf89WqwmHw4TfMKiulpaz9gh5E48Jpk2ReRRWi2xlamqSLk/JSYAhGQmv78x2KMPo7BBl7izgNuR+gWAicE6gDsNilaF8DfWSOenokMdqbJKAobFJJn+bLbIVy+2WGRqOaJmdUVcvGZOmJllL8THZvjX3CoiOHt4C7tH+/WSsG6/Pf19/TgwoY9GbTz/9lKKiIhITE7npppuwWIb8IZRSXfh8PkwmE6GhobS0tGAYBiaTCZPJxMKFC4PZiJtvvpnDhw8THh5ORkYGjzzyCI8//ji5ubndMhY33XQTP/rRjwBoampi69atGIZBYmIiTU1NwY5RGzdu1DkVatAKCwvZvHlzt2N79+4NbmtKTk5m+fLlF7zOT3/6U9LT09m0aROvv/46drudpUuXsnbt2m7ZioDMzEz+4z/+g5deeomtW7fi8XiYOXMmjzzyCCtXrhyaL06dw+eTwXkgW5BSkuRjVxukToGaWgk2Wl1SDxFiljf+mCDGIUXXVqtsXTKQQMLnlfMi7HKez3cmoAhsi5ocj3SaQmon3F7JYoTaJFjo6DiTITl16ky72/lzpSbDagZPh3xss0JcrAQie78Al8uPzz+ynaKUGi1MRmC6TT+88cYb/Pa3v+Wf//mfWbhwYfD4unXr2Lp1a/DzefPm8fvf//68GY3R7FJpIzZeW56NZQN5TWf8f/bePbqq+k7/f/a535KT+z3cIeEiAgqiaBXiVGakJFKnoJ2OLuu4OoLVqGuWit9V7LJqy0yZhY5TV61TdWHHVgWUloJCx1Z+RrxRisBBIJALuZ6cnJz7be/fH8/eJwlJIBwSkpDPa62zkrP3Pnt/Dgmwn/N+P+9n6tTka7RpUJqJdefOncmbf63Fqb/RsgcOHADQHconyzLsdjtCoRDi8Tg2btyIurq6XscKBs9o/7sqZrJfOKP55zncXMzvc129jJO1QH4evVuKoqCllRWMcBgIBXnDXt8IfHWYFYOTtdxnMNDUnUhQdMgJNdnbzqlSMbVlSvPwa6Zvux3IzQZycvn6tjbA5+8WFNEYBYhBzwlUGU5WOHKygSuvoPfjs885DrejEyjMB+wOejaCQWDaZKCoqHvErjYNa7gY7f+eXO6M1z//YR03+8EHHyAUCmHBggXJbfv27cMf/vAH5Ofn47777sPcuXPx17/+Fb/73e9SuYRAIBgker0eJpMJCxYsgKIoMBqNkCQJTqezV0Wh5/haAP36JLRQvqVLl2LChAmora3F7NmzsXPnTuGpEAgEF01PI7fHQ1HhTOd0KGc6KxUdnfQ9FBVSLGi+CqOB1QrNc+FIA/ILuM1o4vZ4HMkMDKsVyM3j12AYaG7hKNmmFjVAz8IKhdHAY6xWvjYapRgxGVlB6XAD7nag9jTg9zHbIhAAomFWV2w2MSlKINBIqU+ptrYW06dP75U6umPHDkiShM2bN2Pu3LmIRqO46aabsH37dnz3u98dsgULBILe6PV6xONxRKNR3Hfffdi7dy8OHz4Mi8XS67jq6mpUVlaioqICy5Ytw969e+FyuXD33Xdj9erVcLlcaG1txYoVK3DPPfegsrISy5cvh9lsxp///GcAwMaNG0fiLQoEgsuEnkbuQKB3+5DVqkCvU/DZ52yNmjoFOH4c8KXTKA0FiKtGbLuNYXVmM2/yw+pNvk4HOBz0Q5iM9FRAUnMw0NvIHY9TuOj1fK2kHqfX81PXaIzTqD7/EnB3cLvfzzXHo0DczGtZVSupJEkwq4GBAsF4JaWKRUdHB3Jzc3tt+/TTT1FYWIi5c+cCAEwmE+bPn4+GhoaLX6VAIBgQLTwvPz8f27ZtQ35+PiZNmpT8u6jRc3ytNlr22WefxeOPP47m5ubkJKi33noL8Xgc27dvR0FBAQ4ePAin05mcCDUQNTU1WL16NebNm4fVq1eL8DyBQNAvA+VdALzxLykFJkxgJaJ0AnDdYmDhVcD06cyfmDQJmDqVrUd+f7eg0BvYnqSTKBoCAR4DIFnFiEXZKtXppWiIRPgIBNkeFQxx5Gy7W03zDgL1DRQuDruavB1npcNsZrXCma5eQlEQUasdAsF4JaWKRXp6eq/E0tbWVjQ0NKCqqqrXcVarFcFg8OJWKBAIzolWibDZbKiqqsLevXtRX1+P//qv/+pz7NmjZVevXo3y8nJ88MEHMBqN+Lu/+zusXLkSq1evRn5+PhobGxGPx/HYY4+dV1RUVlaivLw8uYbKykps375dZNkIBIJB0e5W0NUFlJZ0+y8OfcWqQnYWoD/DG/3mViA3n+bvTnVakwQmeYfCavVCHRtrtjBF22DhOFlJnSKVSPCrQU9BotNxm9lEv0VXF/D1cbZLRaM0h5stbM9yq9ecP5/He7uAcFhJeixysoV5WzB+SaliMXHiRHz++edJcfHee+9BkiTccMMNvY5raWlBTk7Oxa9SIBAMSH+ViPNVFzRcLheWLl0Ko9EIAFiyZAluvPFGhEIhNDY2ori4GJMnT8bjjz9+zgqE5s344IMPsGHDBpHMLRAILphAgDkTWtq1JEnIzeHN/+nTDKxrbGaVorGJx9psNFnnF1AYRCIUFtEoJ0BpydsBPw3estx946OTWF0oKKBA0CofwQArGq2tDNKLRChYurz8GvCrBnGFFZGwWuUoKhh+47ZAMNpJSVjceeed8Pv9WLVqFdatW4dNmzYhKysLN910U/KYcDiMQ4cOYdq0aUO1VoFg3DNQu5FWiThw4ADefPPNQY+B7c/Q/dlnnyEtLQ0NDQ344osv8PHHH59XJJwtUEQyt0AguFDsdt6oa8MqFTWsIj+fFQmAFYEpU/g1zQakp3OiVCKujpI18aFXW5X0qvFbb2DlI5HgV0XhV58PSYEQDKlCIczjNKHi83GbnOAxJhPXc+grPtrdbLHq8AANjQqOHJVRVy8jGBQmbsH4IyVhceutt+Lee+9NBhLl5OTgP/7jP2Dv0Vi4c+dOhEIh0QYhEAwRWruR5odoampCZWXlRXkZqqur4XK5UFFRgQ0bNqCiogJ+vx+33HLLBYmEwUycEggEgnMx0MSo9DQapLVQPM2E7Q+yCuHpoNHaZqU4sdtp7tZJrCRIEpCVwalPej2SWRexGPfX1bP1CQqFhKwme0sSz5FIqN4MhSnhNhuQm8vXT5nE9ioFwJGjwMGDQGcnR+S6jilCXAjGHSnlWGhEo1H4/f5eiaYaTU1N8Hq9KC0t7SU4xgJjZT7xeJ2lfDlzrp/p6tWr0dzcnPRDxGIxVFRUoLCwsJdv4kKpqanBpk2b4HK5UFZWhs7OToRCIezZs2fQ19FET1lZWa+JU4NtybrcGe1/V0WOxYUzmn+ew81Q/T4Hg0qf6VBA34lR7W4Fu3ZzVKzZxOpDQwMTsU1G3vxHYtzX2alOgNLxxt9oYKvU9BkUD7W1bHEKR2gO10bZauNsFVBcaOJFJ1FoWCzAjOk8NyT6OUpLgWlTAV+XWvEIAiUlwJTJEkIhBSdO0hsyderQBueN9n9PLnfG65//YP+fuKhYbJPJ1K+oAIDCwkIUFhZezOkFAkEPXC4Xqqqq+lQStm3bdlHnPdvQrYmEs8fSnmvUrObz2LRpk0jmFggE5yUYVOA6RrO2ycQqhdutoGwGJ0b1JAeA06nAbKY4aFOFQUKmMMjNBtrcnARlNtOkbTSqU5yyWcnQ6VRzd4jiwWrlsRIoHLTkbVnpFhtAd1K33capUeEgqyN2O0VHfi5TvKMxwOtlNUOvU9DlAzwetk9JOu29QfgvBJc9FyUsBALB8HB2FaG6ujrZbrR+/fpkJWE42o1SFQlnCxSBQCAYCG0CVN5ZCdztbgUTzrr5ttkkzLtSQSwGtLbQmJ2u0PfgzOBNv8nEELx4jNObsrOBzEwasRWZVQq3m4IkHlOD8YwUENqEKIuFFQkfKDDicR5jNlKcdHp4LkUdZ9vQyPPNLKeo8Kv5FcdP0oiel8v3l5+HPu+tv2qNEB2Cy4GLEhafffYZ9uzZg9OnTyMQCKC/ripJkvDqq69ezGUEgnHFQKNbn3nmGTzxxBMXVElIFSESBALBcNLfBKhzhcuVFEsIBBT6LCSg/gyFg9WiZlkYgJws+iAK8oCMDJqpoVBQNJ1i5cDhYIuU9jCo1QmnE5hQSnFgtXJ6FCQKiUSCfo5ojMKjsIBCJBTia01GCghnGGhrZ0uUr4uhflYr0NJCYaPIQE4275P6r9aIioZg7JOSsFAUBU888QS2bduWFBPaJw4a2nPtHw2BQDA4eo5uNRqNWL9+PSoqKrB7927RbiQQCC4L7HbeUGv3CecLl9MSuyNRBfE4IEuAu42TndrdvIG3mIHcLAqG06cpDqZMBhobWOWwWNkeZTIBbW08Tmek2MjKZMUiHgOgcB2yzHPLMVYowmGOvu3wUNCYjGx96vIBaWmAycL1NHdxklTAT2N4NKaKHz0Fhd2OQVdrBIKxRkrC4je/+Q22bt2KOXPm4JFHHsFvfvMbvP/++/jjH/+I+vp6/OEPf8C7776Lu+++G3feeedQr1kguKw5l5dCVBIEAsHlQE62BLebN9Rm0+DC5Ww2CXPn8PiTtUB7GwWE2UwvRGcnYLNz3GUgSAHQeAbweLtbmzyd6vhZPYVBWjp9FrFY91jZUFhN4w6wgqGJCgCIJCgKYlFeKy2NwqGlBSgv5+uysykkTtQCHZ0M/CvIZ0XE28V1WiyDr9YIBGOJlITF1q1bYbVa8ctf/hKZmZl49913AQCTJk3CpEmTcMMNN+DGG29EdXU15s+fj+Li4iFdtEBwOXOpvBQCgUAwUmgViFR8BnYbqwlWCzBtGke/BgNM5O7sAIqL2aYU9LOCYLPSRB2Pd+dT6PVAVhZzMOobWHXo6mIbk9HECVFdPgoOWeZ1ta+xGGAxqcZssNrR6aWI6fKyejJxIgWMnKD4mDgBsFgkhMMKwpHuvI7BVGsEgrFESjkWJ06cwPz58/uMnkokEsnvly9fjtmzZ+OVV165uBUKBOOM/rIlXC4XHn744ZFemkAgEAwZNhsnQM0s12FCqe68okKbJNXU3B1657ADRYVM3pbjrDB0eGi6jqnTmgCKEIBCwGSkoXrObLZHQWHAnqwF6UUBdwerD9EohYgkMWzPYODD7qCPQ2uPspgBv49+jvoG4MwZQElQZNhtFBWagCguRL95Heeq1ggEY4WUPRY9RYXVagUAeL3eXuNnJ06ciA8//PAilygQjC/E6FaBQCDoS89JUgqA1jaKCJ+PPglForAoKWYrVFoaW58gAbn5gMnDvAublWKkrY0395AoAIxGioiuIKsbOvU+X5scJUmAScdjYzGeO6Z6MnQGoKkJaG5hNSTNQVFiMtFknpHR3e5VUtJ/XocwbgsuB1ISFnl5eWhubk4+LyoqAgAcOXIES5YsSW4/deoU9Hr9RS4xdQ4ePIjnn38eBw4cQCwWw7Rp03DXXXfhW9/61oitSSAYDMJLIRAIBL3pOUkqw6mgIA/ocAOnTjPLIiONIXlmMwWEycAJUTodYDECnRLgsAFGM9BwhtUGj4eiIT2NbVDhcI/Wp7MGXSoKqyCBABA18DrhEF83bSpbpxIJriHDSbO2LLNikZHRV0Ccy6gtxtEKxioptULNnj0bx48fRzweBwBcf/31UBQFP/vZz3DixAn4/X68/PLL+OqrrzBr1qwhXfBg+eSTT3DnnXfis88+wy233II77rgDHo8Hjz76KH7xi1+MyJoEAoFAIBCkht3e7U2wWCRMnUqPxfTpfHzjRuC6xcBVVwHFBUBhMZCdwzRsh+pzyMunINDrgYjaxpRI0CMRjVI8SOiuVpyNJjpsdp4jGmV15PgJVk4SCQqP+kaatEMBtkbFYtze7lYQDPYdzd8TreWrtpbnOFnLaVLne51AMBpIqWKxbNky/OEPf8D//d//4eabb0Z5eTluvfVW/P73v8eKFSu6T24woLq6esgWO1ji8TiefPJJSJKELVu2JMXN2rVrsWbNGjz//PNYvnw5Jk2adMnXJhAIBAKB4MLpb5LUzHKgbAY/zQ8GFXz6mYJjXwPtHTRwlxQDpaU0aceiQG0tUHuaN+x6A2A1APEEKxWRMFusJDWlO5HongZ1Nj7V2A3wq9/P72WZLVVhdaqUww4cPQq0t7Oq4UgDSksUzL1i4MyKCwkPFAhGGylVLFasWIGDBw9i6dKlyW3PPfccHn74YVxxxRWYMGECbrzxRvz617/G3Llzh2yxg6WmpgZ1dXVYsWJFr4qJw+HA/fffj3g8jnfeeeeSr0sgEAgEAkFqcJKUhCmT2Vo0ZXK3qACAUEhBfQMN1Al1fOzxE8yxOHWKZmydjtutFpq9fV30U+h1FBQ6iVUMRaZI0On4kCSatgFWKTRTdyJBg3g8zocs8zra9wCrLC1tQJOaGn7EBTQ09q4+BIMK6uplHDkq48RJtXLSaxwtxDhawZgg5eRtk8nU67nRaMR9992H++6776IXdbHs378fAFu0zkbzgGjHCAQCgUAgGBvYbNKAn9p/fYIjY2eW00RtNAGur4EDB4HiIooIGawE1DcACZk3/QYD4EhXE7b9nBAlSXyuZV4YDBQfiTirGppoOBtJ4kORAbuVr4mrY2lPnuT42WAIkBQgkZBht9ODUVePZBJ3ezvX4XQqsFrFOFrB2CJlYTGaOXXqFABOpTobp9OJzMxMnD59+hKvSiAQCAQCwXDR0cFKhD/AkDtNDFhtgMkMdHZRFMyYzslQnR51jKyelYqE0i0YDAbVhxGhuLBa2N4k6QDIPE9/0FzOBG8FNHArCuDz87UtrVynzw8UFXFdPjWpOyOTx5aWsKpx4iRQXNR/eKAwdwtGKxctLBKJBDweD6LR6IDHaFOjLhV+tdkxLS2t3/0Oh6PXVKuzcTqd0OlS6hK75JydJSIY+4if6eWJ+LkKBMNLVhZQe4riwKAH3F1sU8rO4vjXmJqQ7XYDM2YA7W6KEKhVCb+fr7VYKBB0EoWFLLPKkEgMXKkAKCgAtjvJMlO2I2oYnk4HZGZwRK5Ox8pFu5vVlf2fqq1WJooduwMoKuAa+psmFVDN3VqFo6UVcLsVlM0Y2LchEFwqUhYW+/btwy9+8QscOHAgOR2qPyRJwuHDh1O9zIjg9XpHegmDIjMzEx6PZ6SXIRhCxM/08mS0/1yF6BFcDkyfCtTV8ZP+UIghd1YLk7HjCd6ghyNsg5IAtLZSgNjt3B9XW6CS3gjVkyGrfgvpPPfsBgPPoSh8HdB9XkWmqAA4ijZoAQ4coGE8EGTbVLqDVY6ODoqTaxYBE0r7fsjZ1poQ5m7BqCUlYbFr1y5UV1dDlmVkZmaiuLg4GZI3GnA4HAAAn8/X736/3z9gNUMgEAgEAsHYIztbh4qlMvLzgcNH2O7k8zNEL83BvAmHndOZWts5djY7i+1KoTCfJ0IUAYkEMytkmdUMvb5vtUKvtjlpokP73mhQJ06ZgZBa8VAUmsUliXkXsTh9FnX1QCTE7IvmFvot/AEg3zZwErfPryTzPADN3K0Ic7dgVJCSsHjhhRcAAE8//TRWrVo16tqGtDGyp0+fxpw5c3rt83q98Hg8mD9//gisTCAQCAQCwXCRna3DjTcAC69S0NCoYP+nvGFXFIqHiROAomKOm50wgdUBi4WGaUWhyNAmOiUSrDwYjRQLkBiIpwXnWS3cFo/T1C0rrFoYjKyEROMcV6v0NGQorEboJLYxBUNAdjarGCYT26ZiMaZ1D0SaQ0rmeWgVC2HuFowWUlIEp0+fxsKFC3H77bePOlEBAAsXLgQAfPTRR3327du3DwCwaNGiS7omwfikpqYGq1evxrx587B69WrU1NSM6esIxhdutxt79uzB7t27ceLEiV77fv/73+Pb3/42FixYgOuvvx7r169He3v7CK1UIOiNzSahpFjCtKnA5IkMycvNYatRKAhY7RQLJjWp2+lkzoXdxuqG2QTYbKx6aCLDqKdo0KoToTBFgCyz5QmqsIC6LxTSxsbyodO+6ihgJD1QUABMngQEA8BRF/C3Q4C7nWniB//Wfyhebp4eznR6KzwetkGdbe4WCEaKlFRBTk4ObDbbUK9lyLj22mtRWlqKHTt24MiRI8ntfr8fL774IgwGA2677bYRXKFgPFBTU4PKyko0NzejqqoKTU1NqKysHPKb/kt1HcH44qWXXsJNN92EdevW4cEHH8SKFSuwbt06xGIxvP7663j00Ufx1VdfIRgMor29He+88w6++93vIiD6MQSjhHa3gkgEmDULmHuFhKuvYvWhta17alOag49AAMjJ4fdGEysGhQVAWjorGpIqBmw2ChJNbMTUDAud1D2GNhbn9kSC61AUVWCo59Dr1IpGFMjPBfJygbZ2tkWFQnw0ngEOHuqbdwEA9vPkeQgEI4mkKMpAU9MG5Kc//Sm2bduG999/P+lnGG3U1NTg3nvvhdFoxIoVK+BwOLB79240NDTgoYcewr/+678O+NrRbLLsyWg3hI53Vq9ejebmZnzwwQcwGo2IxWKoqKhAYWEh3nzzzX5fk8rPNJXrCC4to/3v6tnm7b179+L+++8HwKl+WVlZOHXqFAKBANauXYtXXnkFkyZNwoMPPoiSkhLU19dj8+bNOHLkCNatW4e1a9eOxNu4pIzmn+dwM9p/nzWOHJXR2QlkZnbfcDc3K4iEWVEIhig0WlrZyjSzHPjrX9k6JcusZOj0QMDP1qlYAohGeOPv7aIB3GDs9lYA3W1PPe+s9Prur8mpU0Z1+lMh92kzY5zpAFThkeEEFl8DLL1J12u8bFGhE0Zj16CFhBhNO7SMld//oWawQz5S8lj88Ic/xKeffoq1a9fi6aefRmlpaSqnGVYWL16MN954A5s3b8bOnTsRi8Uwbdo0PPjgg1i5cuVIL08wDnC5XKiqqoLRaATAEMlly5Zh27ZtY/I6gvHDli1bIEkSnnrqKXznO98BAAQCATz00EN46aWXYDQa8atf/Sr5H83UqVMxd+5cVFRUYM+ePRcsLA4ePIjnn38eBw4cSP5bfdddd+Fb3/rWoF7/ve9977yhpz/96U9RVVWVfL5s2TI0Njb2e+zq1avx4x//ePBvQDAqsdspGnp6ESABM2fx5lq72c7JZotSQYEEBQpsJzgONjMLmDYFqK0FTtUxwVsTJJpxW0vl1qoXPZHAKoVer6Z5gxWP7CxWK/Q6jpzt6OBrc3IAp3ouv6/7JG63jM++4LFmI+A6FgWgYNZMBdlZnCoVCKgCRmHwnyYgAIjRtIJLSkrCwmq14te//jXWrFmDv//7v0dxcTHy8vKSEwp6IkkSXn311YteaCrMnTsXL7/88ohcWyAoKyvD3r17sX79+mQlYe/evSgrKxuT1xGMH7766iuUlZUlRQUA2O12PPLII6iqqsLChQv7fHqVlZWF+fPn469//esFXeuTTz7B97//fRiNRtx6661IS0vD7t278eijj6KxsRE/+MEPznuO2267rV/fXDwex0svvQSdTodrr722z/60tDTcddddfbafPfRDMDbJyZbgdtODYDb1DprrmeBtt8s4WUsBkp/X3YqU5uB42vJy3qgbDEBzM9DUzEpHPK4atxN9r63xT7qtAAAgAElEQVTXq+F7OrZWORwUGulp9GMooCgJBigqQiHmaxj09Hn4/Kxo2G3AH3dzhG5WJoP0jOY44lHg1CkayIuLef5aNfd38kSogkSB3QYxmlZwSUlJWLS0tODuu+/GqVOnoCgKTp8+PWCSdX9iQyAYD1RXV6OyshIVFRVYtmwZ9u7dC5fLhY0bN47J6wjGD11dXViyZEmf7VOmTAEA5OXl9fu63NxcBIPBQV8nHo/jySefhCRJ2LJlC2bNmgUAWLt2LdasWYPnn38ey5cvT076G4hVq1b1u33Xrl1QFAXf+MY3kJ+f32d/eno6HnjggUGvVzC2sNkklM3AeduAcrIl1NYq+GgfpzjpDUCWkwZuReHNvWbYjkT4yb9WoehPVADdpu1YjBUEi4XVChkcJ5tIMMPCYu02d0cibLHy+fk6RQb+epBGbr2OXyMRwGJNIB5lG1Y0CkACJk3kuhSFz/PzWJ3o9AIWsxhNK7h0pCQsnn32WdTW1uK6667D9773PZSWlo6qHAuBYDSwePFibN++HZs2bcK2bdtQVlaGjRs34pprrhmT1xGMH2RZhslk6rNd2zbQB0YXOiWwpqYGdXV1WLVqVVJUAMwiuv/++1FdXY133nkHDz/88AWdV+N3v/sdAOD2229P6fWCsU/PysRAhEIKGho4jUmn58hXvx9IcwJOM3DoK+CLL4DGJn76Hw13Z1dogkOno2+CY2C7Q/UATsmRQKGSiPNGX/NxWCKsegCqByPRXe3weoH9n9EsbjHzJB0eIN4qw2Ti9mgM+OxzjsvNyWVORzjULSDCYYjRtIJLSkrC4uOPP8bEiRPxy1/+EnrNlSQQCPqwePHiS2KgvlTXEQiGEs0Xcf311/fZp1VMzuedGIjm5mbs27cPubm5uOmmm/o9JhqNYuvWrWhpaUF6ejoWLFiA8vLylK4nGHtopuaa/UB9PVA+k5WFtjbgq8P0UuTqgCNHgYYzFADhiBp6l2A7lMnIikSag9WH1la1itADSWIVJBrjPquF2+Jxjr5NyN1J3QkZSLcAWVmA1UrTuK+L+RsJhVUOv1p9MRopdHSdfG00yvap3FwkBURxMf0X/bWDCQTDQUrCQpZllJeXC1EhEFwkNTU12LRpE1wuF8rKyvCjH/2o1ye3AsFI0d7ejk8//fSC9rW1tV3QNU6dOgUAmDhxYp99TqcTmZmZA7bZno+3334bsizjtttug8HQ/391bW1teOyxx3ptu+GGG/Czn/0MWVlZKV1XMHo41zSkYFBJmppbmulxaGnliNlAkFWHkyeBTg9N04403uCnpfEGPg76JCxWTo8KBoFAOwWHTsf8i6hq5pZlVkAiagp3INBdzdDC9nS67kc4QtGgmOi5iOlYdcjM5DUVRb24wuNiMaZ55+byOl1eoMWkVjlULBZWTIqLxVQowfCSkrC48sorcfLkyaFei0AwrtDyJ8rLy1FVVYW9e/di6dKl2L59OxYvXjzSyxOMcz766KN+Q0bPtU9rtxgsfr8fAE3U/eFwONDc3Dzo8/VcxzvvvANg4DaoVatWYdGiRZg2bRpMJhNOnDiBF154AX/+859x//334ze/+c0534vT6RyVAbGXisGOnhwpAkEFx0/E4PUqMJsltLYpiEYlzJplhN0mweuNQ5YTmDZNB38ghmAojkRcQiikQyQch7dLRlGRHi2tChTICAZkSBKQmaGD0SgnpzBpFYhYDFASnAJlU0P22tq707vjcQoLozqeVpH5PUBhoqgiIRplxkZ6moRgiMIHYE6G3qBHcXECp09RkOj0FEyKAtjtEkpLDZgwwQCHTcKMMgPc7TJ8PsBslpCQFaSlSZg2je9fcHGM9t//kSQlYVFdXY077rgDr7/+Or73ve8N9ZoEgnHBpk2bUF5ensyfWL9+Pb75zW9i06ZN/bY1nV3dqK6uFgJEMCwsXLhwpJdwUdTU1KChoQGLFi3qtxoCAOvWrev1/Morr8RLL72Ef/qnf8Lnn3+ODz/8cMAWKgDwasED45CxMMe/rl5GY2P3NCS7XkFDIw3OE0p1ONMkIxoFfD4JOdmcntRwhlOfgiGmdNusMg3VaqtRJAJIkoxYjBkTCZkiIBrjdcwmwNNJj0M8oU6EUsWColCIWCw8TyKhtkjp1ZG14HOtjarTo0Bn6BYuPj9gNCaQbud7iEZZHQmFeV2LSYHZFIPdFsPkyUwRd7sHfv+C1BkLv//DwbDmWHz99ddYtWoVnnnmGbz//vu47rrrkJ+fP+CnOz1nhwsEAtIzf0ITDbW1tXC5XKipqeklGvqrblRWVorqhmBYeP311y/JdbSAVZ/P1+9+v98/YDXjXKRq2tbpdFi1ahU+//xzfPHFF+cUFoLRTSDAm+iBpiH1zLhwOiVcfZWCvx2iZ2HKFKZZyzJN0T41IC8ep3BwOOiBiEQoFAryaJr2B3ne06d5fZ2OE6Vstu7APbOJbVMeVaxIUCdR6QG9zNYnWQG6/PRv2GxM/053AuEoIOmZd9HS2i1ewhHA7eF1p05hq9PpOuWc718gGC5SEhaPPfZYcrrA/v37B+zD1criQlgIBH3R8iduvvlmfPvb30ZZWRksFgtkWe4jGvqrblRUVAxY3RAIhhutjUkTB6mgjZE9ffp0n+wIr9cLj8eD+fPnX9A5vV4v3n//faSnp+OWW2654DVpn8qFQqELfq1g9NBfOF7PaUj9ZVxcfRWFwJlm+hUkSUJ+vgKLhfkRBw8Bba0ULPEEb/qLnUB2NisSZ1royTCZaIGIR4GMDLZFtbZSGBiN3J+TTaESCNI/AYXHxxLMugA3IRQGLGG1auEDmpp4ToOBKeBWK2CUAaeT42e1QlrP9x+JAB4PszmmTaO/RHgsBMNFSsJi7dq1Ip9CILhItPyJO++8E06nE4qiwOPxYOvWrXjsscd6iQaRri0YDfzpT3/Cli1b8OWXXybzKqxWKxYsWIA777wTy5Ytu6DzLVy4EC+99BI++ugj3Hrrrb327du3DwD6Db47F++++y6i0Sj+8R//ERaL5YJeCzAFHACKi4sv+LWC0cO5wvGA7oyLhkYFjY0AJIqK7Gze7Pd8XU4OqwaRCDBntuqVUEfHmswMqmtr47QmKLzZX3h1d1WivZ3Hmcyq10IVHAY9EG6kKEn0GF8bCFKAaCNrY2oIXzgKhINAfRe3GfSsglhtQE4WUFJME3e7W0m+/7p6rs3bxfff5WUSt0jeFgwXkqIoykgvYrQxVnrnxmuf38Uw2nwKNTU1WLVqFUwmE8rKymAwGNDY2AidTodQKIQjR44AAFavXo2mpibs2bMnma5dUVGBwsJCUbEYA4z2v6vn651VFAXr16/H1q1bof2XkZ6eDkVRkm1MkiShsrISzz777KA/eIrH41i+fDlaWlrw29/+FjNnzgTAasiaNWtQW1uLHTt2YPLkyQCAjo4OeDweZGZmDji1qbKyEkePHsXWrVsHnLB2/Phx5OXlIT09vdf2zz77DPfccw8URcGuXbtQVFQ04NpH889zuBntv88a55oKpe3XJkOZTEiKjwmlvLnXDNodHcCJWuZXmM0c6TpxAidJeb0UEGeaWEHQ6yk81CxJeDy82S/IB/Jyaeg+fpxtUidOUnREYxQQOonb9QYKEM2DYbexPSocpsBIJFQDuMJKxtSpbLFKSweumEPxM7NcB7dbxr6PgRMngJISvq/0dIqmKZP7ei3O9+clIGPl93+oGVaPhUAwFhmNPoXFixfjhhtuwPHjx3HgwAHMnj0bK1euxMsvv4xIJJL0Woh0bcFI8uqrr+Kdd95BXl4e7r//fqxYsSLZAuX3+7Fjxw68+OKL2L59O8rLy3H33XcP6rwGgwFPP/007r33Xtx5553J8+7evRsNDQ146KGHkqICALZs2YIXXngB69at6zcx+9ChQzh69Chmz559zrHNO3fuxMsvv4xrr70WxcXFMJlMOHbsGPbt2wedToennnrqnKJCMDY4Xzheu5uiQjM4KworHIFg9013XT0N3EWFFA+ZGRQLHg8nQJktTL0uLADOnGGydl0dvRqRCA3UPj9gs3DU66yZ9Gh88glTsSUdRUE0xslSklqhkNQKigIKjkCQ+/VqlQLg+cMRhu0Z9IC9kxWXK+dSJNTVc0RuhpPnb27p9nmc7bU4W2S1tAJut6hsCC4cISwE44bR6lOorq7GrbfeCrPZjIqKCuzatQvxeByTJ09Ork2kawtGkt/+9rewWq3YsmULSktLe+1zOBxYs2YNlixZgpUrV+K3v/3toIUFQHH9xhtvYPPmzdi5cydisRimTZuGBx98ECtXrrygdb711lsAzm/avuaaa3DixAkcPnwY+/fvRzQaRXZ2Nv7hH/4Bd999N+bOnXtB1xWMTc5n8O55jNVKsdDRycpE4xlg9iyap48dZwp2JEafRCTMbfE4EPDxpj6R4I290QQYdHx9JMKqQzzO8+h1bIniWigqrFY+TyRUA7iJ3o6Avzuxu72dawyFgdpa+jAAioSiIj7PzODaPZ2qaDkreXsgkdXuVs6bXC4Q9EQIC8G4YTT7FIxGI+LxOF588UXMmTMH7733Hnbu3NlrbSJdWzBSNDQ0YMmSJX1ERU9KS0uxePHipDfiQpg7dy5efvnl8x73wAMP9Fup0NiwYQM2bNhw3vMsWrTogr0bgsuP8xm8ex6TkcH2J08nKxNTp7K16OvjDKWLRoBonONn8/IYkBcIsfUoHAKazwBNcbY6padTsCgKb/J1qqCQZYoLs2oNMpv5SMQpHHQ6ZleYTYA70r1GvV4dWyuxctHaxjatiDrmNhKleVyWufZZM/smbw9GZAkEg0EMMxaMG7QpTLEY41BjsRj27t2LsrKyEVuT1p5lNpuRkZGB6dOn48CBA4jH4yO+NoFAIysrKynIz4XRaBTBUYIxQ062BKfqOfB4+Al9T4P32ceEQhQCs2YCc+dInOgUAcrLgMwsJl3bbEBpCTB5MpOy9RJbm2KymlGhAMEAp0pJkuqXkLuTuCEBkJlR4fPR3xHws50pJ5vToDo83ccbDBQERj3Fic/PJPHT9UBDo5rE3QU0NAD1DayCnF2tgLqNQoQeqv5ElkAwGETFQjBuGI0+Ba096yc/+Qm+/e1vo6ioCE6nE3fccQcikYjwUAhGBTfffDPee+89eL1eOJ3Ofo/p7OzEJ598ghUrVlzi1QkEqaFNhjqXYflcx7iPcaJUQyMFRmYWIClAUwurDM1NnBQlSRQAWVlqZYOfbcFkBMIyoPQoHiQSQDDR/TwaZTuU08lWJ70OaI9STBgMNG/HE+pUKbVdqqkFyHRymtWRoxyB29nFrA2rFdj3/wGFBQoWXq0gO5ufL/ecIhUOK/D5KGTstkvxkxBcToiKhWDcoPkUCgsLsW3bNhQWFuLdd98dUZ+Cy+XC0qVLcf3112P79u0oKSlBJBJBPB4f8bUJBBoPPfQQSkpKcNddd+Hjjz/us//jjz/GPffcg5KSElRXV4/ACgWC1LDZJEwo1WFmuQ4TSnX9GpX7OyYYVNDQAHxxgIndPj/QdAZobgPq1WpBp5fBes0tapieCbBY2bKkKGxrcqZ3t0NJ4NeeSBK9FI1n+L3FCpSWUuCYjGyBSiTo69CM4DYbv29uAdrbKCq0CVanTnPk7IG/AtvfA459LSdzLSaonY7+ANu1dDqgrp7GboFgsIhxs/0wVsaIjdeRZ5cTZ4+RdTgcWLBggRgje5kx2v+unt2+9M///M99jolGozhw4AAkSYLT6UxOTWpqakJnJwf2X3nllTCbzXj11VeHf9EjzGj+eQ43o/33+VJQVy9j3z6G5iUS/GTf46VXwWYBJk5kwnZzC30XCYUVBI+beRSdnRQGOj0nRylqMncg2G3KBmgKl3S8yc/P50SpWEyCz6ugy09PRSLBY7Kz2DIViXI0raJwXyzene6dngYUFzLJGwCmTwemTQXKZkhoaFRw8CBgs9Mj4nQy/6K/0bTjmfH6+y/GzQoEQ8hw5V+c3Z714Ycfjnh7lkCwf//+AfcpioLOzs6kmOiJJjwEgsudQIB5EyXF9DxoI2NDQZqv8wvYemQ2s1VJkXmcXs9qQE62WmmIArEocyqi0b7XiScAncIWKC3bIhxWICs8fyxOkWA0sB2qtZ3VEb+fwkIzdicSFCfRCM9hMgOONAAKcPwE0NKq4EwTKxu5YPuUFqonDNyCC+GihcWZM2fQ1taGaH9/I1QWLlx4sZcRCEaM4cy/OHuM7Jw5c/Dcc8+JFijBiLJnz56RXoJAMKqx23mjbrNRYIRCFAiSBFgs3aKisJAtUZkZQG4ekJHOakVnF9DcTEGQm0uDtd/Xu1oBdLdNQaLw6PTQ1G0wsgJiMQHtbsDtpcgwGdlSZTRSXBgMoGNbYg6GLLMlKhYHfF7g6xMUDx0dfOj1FEtpDj6PRrvD/gSCwZCysHjrrbfw4osvookDk8+Jlh4sEIxFNIP1M888g82bN8Pr9cJsNuNHP/oRdu3addHn7zlGdryWWAWji+Li4pFegkAwqsnJllBSrODIURq1E3H6H7KzeWMe8LNy4O0Cpk/jzXtrm5qYDQoKZzrgZXA90tN5Ey8r3eJCUsfHQur2U3R61bGzUvckqECQ1RK9NmUKbL8CeC5F7m6n0ukoSoxGJogHA92Toux2oKmZ/pC8HHot8m19R9MKBOciJWHx9ttv48knnwQAzJgxA5MmTYJdzCQTXKa4XC4sWrQIq1atQnl5OW677Ta88cYb+PTTT5PJ2AKBQCAYP9hsEuZeAWRlKmhsAqComRctgLuDx0SiwNTJwOyZwKGvOPJVrwfa2ti+pFOD6rSgPJuNVY5olI94orv9SW/gCFqDnkLAbAb8QV7XZORxsgzIcVWg9Ajag9T9vRb2JycAkwEIKDxnbg69HoUFPNbhoBiZNVMkbwsujJSExa9//WsYDAZs3rwZy5YtG+o1CQSjirKyMvzxj39EWVkZPvjgAwBsFQmHwyOe2i0QCASCkcFmkzBjhoQZMzg5yXVMgdnM/AptXOvCq1lR0OmYgv3117zxd7kASEBBPtuZ4tHuwLyErIqKGGC1sZrR0QEYzKw0SNpUKQkIR7oTujs71QqFOpJHrwbqKUr3w2igkPF0sGJiNAGTJtIYHgpz+lR+HqsVRvUOUZsaJRAMhpRs/qdOncLVV18tRIVgXFBdXQ2/34/m5mb85Cc/QUVFBY4dO4bly5fD5XKN9PIEAoFAMMK0uxV0dXEUbNkMCVctYGtUIEjzc1oaqwFGAxAM0fsQizB4r72drUw+NcxOp46YhQSk2ykmADXADmx3MppYUTAaOZGKqdndogLoDs/rOcI2EqUfxONly1MsypGyp+vU6VZWoKkJ8HZSrJxpBlzHFDFyVjBoUhIWTqcTNptITRGMDxYvXoyFCxciHA5j69atKCwsxDvvvIOjR4+KZGyBQCAQIBDQbu75yb4kSTCbkAzVi0QpKDIygalTedOuMwAeD6dImUysMFhtFCQFBWyNisR4w5/hZMCexUIjuMHAr1lZFBN+P9dhNHCfUR1lK/VogzIYKHAsFp47HKGQCYWA1la2Qul0bLOyqvud6fSJtLuFsBAMjpSERUVFBQ4ePIhwODzU6xEIRiVPPfUUIpEInE4nZs6ciccffxwulwsPP/zwSC9NIBAIBCOMJh60aDBFURCJdid1O9OBM2dopLZamA2Rm8MKQSyqth6ZOLbWaKDwyMtllgTUFimLGcjLBpwZOjidbKPSqebuRIyiQJtIpY2YjcfpoTAYKCZsVsBsBLp8vGYoxKqJP8D2LUnXLVgCfk6Q0gRST4JBBXX1Mo4clVFXL4uKhiCJfsOGDRsu9EULFizAu+++iwMHDuC6666D2WwehqWNHGNFMFmt1jGz1rFOSUkJbrjhBhw6dAj79u3DpEmTsHnz5iEfCyt+ppcno/3narVaR3oJY47R/PMcbkb77/NIoI13dXdwrKuWATGhVILNRmERi/NGvbSEoXRZWbyhL8inkNDrWL1w2BlSF41wpGwszirCjBk81mQ2wGSUUVxEs7ink76JRJzXjkYBqBOljEZWQ+x2+jYiUbZcaT8+WaagaWkBfF18TSBMsROKqOcw0XfhdLL8oflJWlp4vXY337szHTAaL38vxnj9/R/s/xMpmbefe+45TJs2Dbt27cK+ffswZ84cFBQU9HusJEl45plnUrmMQDCq6DkWViAQCAQCDZtNQtkMtgxp7U852VLS9GyzSZg7BzCbFHjV9iOdBJTN6K5KfP4lTdpmE6dAlZYCE0s5ApbnoMk7FFKg0wENTerEKB09GtqYWkUBkAB0ZnUClMyvFgtbnjThEY0Cuiwg4GPlo70DiMZ5vjQHzx0KAosLeo+c1fwkeXm8x1MUhV4Rt4IJwuQ97klJWGzdujX5vc/nw8cffzzgsUJYCAQCgUAguNyx2aRz3lifLT6Ki2m81gzehYVASzNw/CRblyaUApDoiwCALj8QkIHiQh1aWlmpiMW4v91NAaEoANSsjFicj0wnEJc5YlZWknl5kGX6Krxeihu9nuvIymRFIzOTj6ys3iNn+/eTKCKhWwAgRWHx2muvDfU6BIIRp6amBps2bYLL5UJZWRmqq6tFRoVAIBAIhoz+xEd2do8nVwBLggra3QrOnAFO1rJ9yWEHurzMrlgwX89QvChbrlpau83Z8RigRlhArwfCIcCrY0tTJMpqhKLe+cXj3T4MnY5VDZOB2/JyOR43I4PPe2K385qKoiQrFpqfRCBISVgsWrRoqNchEAwbgxEMNTU1qKysRHl5OaqqqrB3715UVlZi+/btQlwIBAKB4JJhs0nIAXDkqILOTuZYnDgONLfyJt+gj8Nsog8jPQ1wm4BgkPskiSJBy62QJHon9KqBGxJ9F9EoWNlQeLyc4PehMGAIsprh87Ml62zBkJMtwe1m+5PZRFHhTBcJ3QKS0lQogWCsoAmG5uZmVFVVoampCZWVlaipqel13KZNm1BeXo4PPvgAGzZswJ49e1BWVoZNmzaN0MoFAoFAcDlxIZOU2t0K2t0M2YvH2QalGbP9fhldXZwwpdMB06dzkpNeTeXW6dRwPB2nPOkNNIWnp3Ob5sWQdN0iRFa6078TagWjtZV+j7MFg80mYUIpPRueTn6dUNrdLiUmRo1vUqpYCARjhZ6CwWg0Yv369aioqOiTmO1yuVBVVQWjmkRkNBqxbNkybNu2baSWLhAIBIIxQlBtX+rPuK3tdx2j6dlkYiuR262gbAb6TbUOBGig9vmBDg8rCtlZau6FSYdAMAEFQEkxr6cD0OoG6us5IcpmY7VCTvB6ZhOFg14HxNUAPp1a3TCZ+DwaZaXC7uA1C/J5fptN6vX+9Druj0QoaMJhhuxZrRQQF/I+BZcfgxIWFRUVkCQJ//M//4PS0lJUVFQM+gKSJOGDDz5IeYECwcUwWMFQVlaGvXv3Yv369TAajYjFYti7d68IwBMIBALBORmMaLjQSUp2O3MrZBnw+3jzHksAhUXAxIk6nDwBZOcCkybSDxGLsaqRnUVRIisUC5Lqr5BlVTzEKCjM5m7REYvxmtEIBYMCoLioOyTP7ZZRV4/k+2s8w/GyV84FrFYJoZCC4yeATq8Cq5XHlZaIiVHjlUEJi8bGRgBAXK2fac8FgtHOYAVDdXU1KisrUVFRgWXLlmHv3r1wuVzYuHHjCK1cIBAIBGOBwYiGC52klJMtITdXQWMjcyTcHobbFRYAgITCYuCqeUzzPn6Ck50CAU6ZKiqkWPAHgGAASMhcWzAEWHxAIMS2KbuNrwtHWN2QJOZXaK8tKGCo35+6OF0qw0nRYTBQhHi9gCQpqKtnJUVRVO8GKHYsFjExajwyKGFx9OjRcz4XCEYrgxUMixcvxvbt27Fp0yZs27YNZWVl2Lhx45AH4AkEAoHg8mIwouFCJynRx6Cgvp437AV5QCQGNDUBJnMCV87huNqvj6seDB/PlZHBFqqcHCZ77/0T4PUBJiNgMgM5WUBHJxAJs80qqlYr9BKgNwFWM2CzcAKVlgH3+ZcUNVOmAOhUxUcc6OwE2tqBhgbAYOS1jQbg8FF6LwoLICZGjUOEx0JwWXMhgkEE4AkEAoHgQhmMaEhlkpI2UnbiRGD6NKZjt7QAkkJvg7uDN/XxBKsP6WrehdXKG/t4nAnfrq+BHLWC4PMz88LhYBhfJMJpUrIOMOk4MQo6ejIcNiAcZU5GQp0alZPFwL5QEDhVx4pIOEIx0+VlqJ8znZUOi1lMjBqPCGEhuOwRgkEgEAgEw8VgRMP5krn7IxDoDr3r6KCASEtjleHoMR7T2cm2pFiMQsTnY/XEaqawmFUOdHax0mHQ0xth0ANWdUpUNMYUcM2D4fUBCQVwplFU6PVsreroBNraWPWIRSleJD2FSbQLiJqAw0fYQiVJ3B+OAMWFQEnJud+n4PJiSIRFV1cXAoEAFKX/kWJFRUVDcRmB4IIQgXcCgUAgGG4GKxrOl8x9NnY7zdfeTgoAZxrgVYC0NB28XgASsyyMRt74+7ooEgoLONlp+jQmbE+eyFYovx/IVM3dLS3MrDAbKSpkmdURvY7ViWCYAiQ9nQIhK4PrsdsZwufzq2F8CbZDtbRyHafrWGG5ZiEFRiA4tH/WgtFPysKira0N//mf/4k9e/bA6/UOeJwkSTh8+HCqlxEIUkIE3gkEAoHgUnGhomEw5GRLKC1RUHsKCPgoGowGoLBQB08Hj7GYgPo6TmLq8AA6Pb+32ygqunysKly1gCndHR7g9Gk180IG4jIrHOEwR8/q1HQzXxfwt0MUFhKAomJOoIJEQeHtZGBfp4dtUwArHXYLqypmC5CfBzERahySkrBobW3F7bffjtbWVuTn5yMrKwtutxvz5s1DQ0MD2tvbIUkS5s2bB4NBdFsJLj2Dza8QCAQCgWA0YrNJmHsFEIkq+NvfAGcGkJ8LTMkCyRYAACAASURBVJlqwJdfsiKQ5gCcTiAjk9Oa/AG2TEEHtLYDdXUUI4EQpzh1ddGLUVpCoRLokdhtswKQGJBnUCdGmUw83mHjdex2oK2VRvJOD9DcwrG4BgMrFrk5gFEPhENiItR4JaXk7f/+7/9Ga2srfvjDH+LDDz/EN77xDUiShP/93//FRx99hNdffx1TpkyBJEl4+eWXh3rNAsF5cblcWLp0aZ/8CpfLNcIrEwgEAoFgcNhsEhZeJWHJdRQDaWlAZ6eC0hKG17W76ZdwpgFTJtPT4HSyGiGBbUxNzWxzisW4va0dyM1lqrfJ1F2pkCRWMgwGdYJULk3eBUVM787O1kbI8pjMTJ4HEgP50tMobKADLFYxEWq8kpKw+Mtf/oKSkhLcf//9/e5fuHAhXnnlFRw5cgQvvvjiRS1QIEgFLb8ipib/iMA7gWD0cvDgQfzLv/wLFi5ciHnz5uH222/He++9N+jXf/LJJygrKxvwceDAgWG5rkBwKaCHQ8KUyRzpOn2qHnOvkDD3CglTpzLnorAQyMpkBSMe481/TjaQ5eT3AGAysF1JJ1EAZGfTO5GXxylTkqR6LGT6MaIR+ix8Xhq7D30FnDhJcWPUsxKS6aQYiccpNmSFfg4obIMSE6HGHyn1KbW0tOCmm25KPtepTXnRaBQmE5vt8vPzcc0112Dnzp2orq6++JUKBOfgbKP2N7/5TTzxxBMi8E4gGOV88skn+P73vw+j0Yhbb70VaWlp2L17Nx599FE0NjbiBz/4waDPtWjRIixatKjP9oKCgmG9rkAw3PT0cGRmGuDx8Pu5cziJqrWNN/INZygUHA6asyUdBUZuLkfD6o1AayurGCYjkJUNBPxARMfjo7HuCVHhNJ4zL49tUZmZNH77/fRcxGXmX1itNJGbTcD06cCkCRQn55t8FQwqFzQlSzA2SElYOByOXhOg0tPTAVBwlJaWJrebTCa0tLRc5BIFgnPTn1H7iSeewDPPPIPdu3f3ya8Q06IEgtFBPB7Hk08+CUmSsGXLFsyaNQsAsHbtWqxZswbPP/88li9fjkmTJg3qfIsWLcIDDzxwya8rEIwU2kSqSFSBzQ7MmEYDt80KnDrNdigZ9ENkZtIHEQ7TV2E20WDd0EixkZ7G4DuLBYDC0DudnuNl09I59jbNwYwMn4/VCG8XMGkShUteLlA2o6846E9AAIDrGBPLTSYKGLdbQdkMCHExxkmpFaqwsBCNjY3J59OnTwcAfPjhh8ltoVAIX3zxBXJzcy9yiQLBuelp1N6wYQP27NmDsrIy7N69G2+++SYOHDiAN998MykqKisr0dzcjKqqKjQ1NaGyshI1NTUj/TYEgnFHTU0N6urqsGLFiuTNPcAPr+6//37E43G88847l811BYLhwGaT4EwHymcACxbwRt9sYauS1QYUFXA8bEsLvRRZGZwmFYlyu6TwuLxc4LrFwNIbgTmzgYmlgMNOb4acYDWjo4PnddhZCcnQWq0UTqIKhRTU1cs4clRGXb0Mt1uG65iC2lpmbpyspaBoaKCoyMsDMjMl5OdRpLS7+48tEIwdUqpYLF68GK+99hra29uRk5ODZcuWwWq14qc//SmamppQUFCAd999F263G3fcccdQr1kg6IXL5UJVVVUfo/a2bdv6HCumRQkEo4f9+/cDAK6//vo++5YsWdLrmMFw6tQpvPbaawiHwygqKsJ1112HrKysYb+uQDDSaOnfGRm82W9rowgoKwMmTqAH4+hRwONh61NLG19jNLEdKpYApkxhzoXdxtc7MxiS5/WolQwzYLQzydtsBnIsrGJ4u2gOb2nh9zk5zNKAxLG1Ph+nVikKjeXeLqDTy/NJkoRwWEFnJ6smigzkZCuiajGGSUlYrFy5Es3NzThx4gRycnKQkZGBH//4x3j88cfxq1/9KhlpP336dOGvEAw7mlF7/fr1MBqN5zRqX4gI0RCtUwLB8HDq1CkAwMSJE/vsczqdyMzMxOnTpwd9vh07dmDHjh3J5xaLBQ888ADuvffeYb2uQDDSaOnf9fVAaxtQe4qm6lAQqKvnMfE4n/sD9FOYjPRMpDmAvHyauj1u4OBBHj/VCeTlcNRsezurHQ4HYNCx2mE0cltJEcVGPM7zSTpOicrPA/a71ClSJrZjebvYQgWF52CFg2vy+9l65TomWqLGMikJi/Lycvz85z/vtW3FihVYsGABPvzwQ3R1dWHSpElYtmxZ8gZOIBguqqurUVlZeU6jtiYOWltb8corr+Dmm2/G9ddff95pUSJoTyAYPvx+PwAgLS2t3/0OhwPNzc3nPU9WVhb+7d/+DTfddBOKiorQ1dWFTz75BP/+7/+OjRs3wuFwYM2aNUN+XYFgtNDTa9HWxkpFMMj2ptpa+iz0epq3IbH9SW8AnFZwPKyZ2RSSxKpCIk7vQ3YWUN/AdqhAgCF50QgnUIUj9GH4AzxerwMy0gGbhVWR+ijFik4PpDsABayiRKPAlXN5vuMnWEWx2YGCfGBCaXdLlAjVG5ukJCyOHj0KnU6HGTNm9NpeVFQ0KlqfPv30U+zduxeHDh3C4cOH4ff7cdttt+G5554b6aUJUuB8FYPFixdj+/bt2LRpUx+jtvZ6TRysWLECb7/9NlauXInbb78dR48ePee0KNE6JRCMfqZPn570+gGA1WrFypUrUV5ejlWrVuH555/Hd77zneQEw6HA6XQO6fnGGpmZmSO9hHFNf3/+mZlAhycGh12B1Sah9mQcPr+CWCKOWExCXp4Ox47FoNPRUxEIyFBseuj1CoJBCSVFejgzJESjCmj7VhAIATq9gnhCgcGgg8cjoXSCDlaLBJMR8HXJaGuPobVdgd2mQJZ1KJ1oQJpdh05vAhlZgNmooLEJkBMSQmEFUybrMGeODQAQj0dgscoozNcjM4vnNRpl6HQSMjNH7wfT4vd/YFISFlVVVVi4cCFef/31oV7PkPD2229j69atsFqtKCwsTH46JRh7DLZisHjx4gFv9M8WB3fddRfuuOMO7NixAzfccEMvEXI2qbROCQSCweFwOAAAPp+v3/1+v3/AqsJgmDFjBq688kp89tlnOH36NCZPnjxk1/V6vSmva6yTmZkJj8cz0ssYt5zrz1+WZbS7gXw9vQ56A3DmDKdEaZkToTArDRYLEI7EYTUDxcWA3RGHzQp0+eiHaG+jt6KwkO1Sdhu9ETYbEI+y5erLL4HT9ZQhGRmA0Sjj62NxZGWx4qEogGTiJCo5wZG3SgLo9EQAAAlZQZeXZnCDgdWQdjeQng54PKNTuI/X3//BiqmUfmpOpxN5eXmpvPSS8N3vfhc7duzA559/jmeffXaklyO4CAaa+LRp06ZBn+PsFO4lS5bgnnvuQV5eXnJa1ECIoD2BYPjQxrn252fwer3weDz9+iAuBO0/w3A4fEmvKxCMBDnZnBDV0gqEQmxtumoBcMUcCobcXAoEsxGYUMJWp7w8JnbHo2xXsls5OcpqpbF78iRg1kxOmgIoEoJB4KuvOHrWYaeZG2AbVTDICVL5edzudgO52TxXeTk9GJ9+rmD3BwpqT7I16vARBvDV14tQvbFOSsJi3rx5OHbs2FCvZci44oorMH36dOj1+pFeiuAiOVsUaBUDl8s16HNcjDiorq6Gy+VCRUUFNmzYgIqKCrhcLjz88MOpvSGBQJBk4cKFAICPPvqoz759+/YBQL+Bd4MlHo/j8OHDkCQJhYWFl+y6AsFIcXZK95TJ6JXSneHkSNkbvwFMnsLpTfn5FBd2Bz0QHZ2sVEybCkyZSIEQCtFLYbPz2LgM+IMUKtOmAXNmdedfWCysjuTmMihPr6MoKS7i9Tq9rHR8fZxBfbEoUFrM9ac7+8/CEIwdUhIWa9euRW1tLV555ZWhXo9A0IuhqBhcjDjQ/BuFhYXYtm0bCgsL8e67756zyiEQCAbHtddei9LSUuzYsQNHjhxJbvf7/XjxxRdhMBhw2223Jbd3dHTgxIkT6Ojo6HWeL7/8sldoK0BR8bOf/QyNjY24/vrrkZGRkfJ1BYKxhM0mYUKpDjPLdZhQqoPNxhv1uXMkzJ4FWKxsNbLZWMmYOqV7WpPJBOTnMtF74dUUBy2tHAXr97MlKsMJ+LsAq4XViQ43x9I67EA8wXYrm50CwmGnCElPBwryJQRDrGBEIpwiZTJx9G2HBygp5hqEqBjbpOSxOHnyJFauXImNGzdi+/btyUkcZq0WdhZVVVUXtUjB+GUwE5/Ox/nM3YN5vTBqCwRDj8FgwNNPP417770Xd955J1asWAGHw4Hdu3ejoaEBDz30UNIXAQBbtmzBCy+8gHXr1vVK2H7kkUcAAPPnz0d+fj58Ph8+/fRT1NbWoqioCE899dRFXVcguBzQJkf1l4Ld0KigsZG+jOJCoKSEYsRqZWq2InO604RSwGKRYLEq8HpVn0YU8NRxlK3DQWFRXw+YzIAcB4Ih4NQpwGJWcOYM91ssgCxT3EDhZCiHg1kagrFNSsLiscceS2ZVuFwuuFwuSFJfhakoCiRJEsJCkDIXKgoGmiAlxIFAMDpZvHgx3njjDWzevBk7d+5ELBbDtGnT8OCDD2LlypWDOseaNWvwl7/8Bfv374fH44HBYMCECRPwgx/8APfccw+cTuewXFcgGGvYbFKfMa7BIIWGTscKwplmIBDszpKYYJOQk63AdUyBtwvwejnSVqen4dpioSnbZAKys5mwbTBw1K2iqJWONLZmTZ0KHDnCDIxAAOjyAqEI07wNhsF5K4JBpY84ElWO0YOknF0/HgTPP/98v0JiINatW3ehl8A111yDzs7OQR//2muv9XuzeeDAAaxevfqCxs3KsjyuxwiOVfbt24elS5di9uzZ+OY3v4ldu3bh8OHD+NOf/pRM0xUIBIKhYDxOhdEYr1NxRgtD/edfVy+jtpbeCe1D45ZW+jMmlHbfCwWDChoaFBw+AjQ2AtE4vRc+H2/wi4vYMtXazuOzs2gA9/mARVcDy2/RIRhU8Oe/KDhRy7yL5la2ROVkAUuWAHOvOPe9VzBIgdPVRSETibJ96lL6Msbr7/9gp0KlVLHoWYIeLlasWIFAIDDo43Nycobs2mNljODl+ss92KTrs4/r7OxEeXk5du3aBaPRiEceeQQVFRV46qmnxky14nL9mY53RvvPVcxkFwjGLwG12qB9YCxJEswmVgR6YrOxBSozk9OfmpqYnXHUxZYmnQQkEqCB28xqRW4uE761iVI2m4SFVyuIxYEjR1mpSE+j7yMYpHA4l0Bod1NUnC2CRKDe6CElYXEp+H//7/+N9BIEI8Bgcyv6O+7QoUO4/fbbB8ycGKxgEQgEAoFgvGC306Ctta8rioJIlNvPbjtyuylCrGrehccDQALONNGfYTLzeafqv4hFKTqKu4eyITtbh7LpMqIR7rPaWHUYKHG75xpO17ECEgwBVouCjAzAbEIfESQYOS5aWLS2tuLLL79Ea2srACAvLw/z5s1Dfn7+RS9OMP4YbNJ1f8dNnToVf/zjHxGLxWA0GntNkBqsYBEIBAKBYDyRky3B7eYn/2aTkmwvstvQq+2opZXTnAD6JSZOoLAIR3lzH40BBXlALMYbf0Vhm9MVc2gG70lCBoqKgMzM7u3hcN8qSc/WJ0VhlaOzE5g+jRWSTi9FTnHxcP8pCQZLysKipaUFP/nJT7Bnzx7IstxrnyRJqKiowPr161FQUHDRixSMHwabdN3fccuXL8dbb73V7wSpn//854MSLAKBQCAQjCcGmhbVX9tRfT2nOVGEMOxu/pVAJExvhckI5OYB+P/bu/O4qOr1D+CfYRMGFBBBQVExnEFcMUFQSxFzCwWXhMy0vFxLb2Za2aJpuzetsKxuy61f7qJWaG65pSU6Cq6VMt4MBZRFAdlG9vP74zQj48zoMAzMAJ/363Vfxlmfc85czjx8l0cACgvFrlB9euuOf7izleTWLQFXr4nF95ydazQDsmvHkJMjJjSVlWLrhqcHcPUacJ8fC+pZE5MSi5ycHMTGxiIrKwtOTk4YPHgwOnbsCEEQkJWVhSNHjmDfvn347bffkJCQ0OitFykpKdi6dSsAaOY7P3nyJF5++WUAQLdu3TBr1qxGjYmMo65bsWjRIp1Wh3ttl5qaiuDgYLi5uenMIGVswkJERNTS6JstqjRd0Iy9KCsTcLNQbCFwbQ34eIvjKWonIWUVYjG9OweAq5OK2l2abG3FcRg5uQAEAWmXxSrh7TyAv9KAvDxxVqra4z9ulQlwdhaTF0EQa2M4OokF/jgrlPUwKbGIj49HVlYWxo0bh0WLFmkVHgLEwc/vvvsutm3bhpUrV2LZsmVmCdZY6enp+OGHH3SWpaenAxArqjKxsE7G1q0wtJ2h4nXGJixERER0u1Xh1i0B6RnitLGlJWICUFoqzsQEiC0deXlA2S0gPQNo0/p2dyp1S4JKJeDcb2KtjOoacWrbNq3FQd3pmUBVJdC7N+Dmpj0gu3bLhpOjWBlcANCpk3j8S3+JXaPSM2o47ayVMGm62UGDBkEqleKnn36Cra2t3m2qq6sxatQolJaW4tixY/UOtDFZ8+wttVn7TDOmunOQ9YIFC/QmC8Zup942KioKcrncqETEUprrM23prP25claourPm59nQrP3z3Nw11v1Xj2+49Jf4hd7ZWSxi19lX7Irk4/13LYq/xz9cyxaTCx8foFvX20X2VCoBySkCjicDUidxJqmKCiArG/DrKrZe3CwA2ncQx204OkpQUCD8PY5DoqmfAQFIuyL+29FH7AYlkQBduwCQNN60sy3189+g082qVCqEhYUZTCoAwNbWFn379sWBAwdMOQW1YMYWs6tL0bv6Vt8mIiJqSdRjL27eFFBTLY5zcHMTv/iXlYmtDzY2Ypek9AxAqBFbHoqLgVKVeAx1cvL7H2Jrh4M9UFIKONiJScmtW2LxvBIVUJkpdo/y8hKQeRUoKwecnQV4thPrVeTni12r3F2BvAKgtYtYcM/JidPOWhOTEotu3bppZoG6m9zcXHRjfXayEqy+TUREZDypVIL77hMgsdEeP1FeAUAijn8oLBKTBI+2gL2D2LKhnjoWEFs0XF3Ff1u3/jvxEAAIQN4NsYK3RAJczRKTDhcXcYB2eTmQnSV2nfLyBNzdxASjugZwcxWTECenu9feuBtW8G4YJpWXnjFjBlJSUvDrr78a3ObIkSNISUnB9OnTTQ6OiIiIiCynnYcErm3EsQ4FBWLLgGsbsTZFeQVwSyUWuhMAVFWI3Z3UtSXUg689PQFbO6C4SJyWtqRY3NeulZiwdPMTu1aVlwMFeWIi4tBKbJn43//Emajc3SVo7yUmLeUV4v/Uvflr194whrolJS1NHKPxV5o4ta5KVefRAXQHo1osrl27pvVzcHAwpk6ditmzZ2Ps2LEYO3YsfHx8NNvu2rULu3fvxmOPPYaQkBDzR01NmqFCdSxgR0REZF0MTUcLAKUqATduAPk3xYTBxUVMCgqLbn/Jz8kVWxz8uor/rVKJxfRcWotdokqKgYoqwLeTWFDv+g2gplr8b3tbMWG5kQ907Xq7ZaKVg5i83Fl7w9hpZ1nBu+EYNXg7ICBAU+q9NvX8w/qo10kkEpw/f77+kTaipjIopykOIKpdqC48PFwziPrdd9/Fq6++qrO8pRWwa4rPlO7N2p8rB2/XnTU/z4Zm7Z/n5s6a7r9KJSAzU8D5C0BlFeDZDloDqQFoDb6+kQfY2QGBPcSB3hf/FAvxOUnFrk0794hdpfz9gKpqoLwSKMgHegYCwQO0p7FVT3NrSlemC6k1uHlTu0CfesB4j4C7d+axpvvfmMw6eDs4OLhewRCpGaqs/d5777GAHRERURMilUogk0nQqZPh8Qq1Wzu6dbu9TqUSUF0jJh2tHMTuSDYSsRUj/ybQ2lkc8G1jI84cVVAgoKhYHCSelwcAAtp5SNDZt+4tDHcW6KtrVyoyzKjEYu3atQ0dB7UQhgrVffrpp5g6dSoL2BERETUx+grs3Wtd7S5WeXniLFBt2wKVzmLXp1tlgK1ErLDdsaM4wBsQB3uXlWkX0lMnKsa2YLTzkCAvTzC5KxUZZtLgbSJTqQvVVVZWAoCmUJ27u7ve5SxgR0RE1DxJpRJ09rWBhwfQxkWsvN1dBgTIANSI23TyFetk3LwpJhe+nbQHct/IE+o8GFtMaiTo5idOodvNr3FqYLQEJk03S1RX6oHZ586dQ25uLkJDQzFu3DjNWIply5bhlVdeuWfFbSIiImpeSkvFAd3XbwCZV4HCm+IMUX5+QHd/oFUr4OQpsWaGemyv9hSz2oOxb90S/q7KLeC++wS9rRd3a2Uh07HFghqcesB2dnY2YmJi4Ofnh8uXLyMhIQHe3t7Yvn07Zs6ciW3btsHb2xuJiYma5SxgR0RE1Lw5O4vVuAUBkED87xqICQUgJgvqGhj6pphVT2srkYjF+9IzxIJ6169zKtnGxhYLanBLly6Fo6Mjbt68iQsXLmDlypV49dVX4e3trTUwmwXsiIiIWp52HhIIEKeubddOTDCkfw+k/vMS4CwVWybauOifYrasTKzWXXBT0NTPcHYWWzDae4FTyTYitlhQg1IoFEhOTkarVq0wYcIEZGVlYdKkSQgICIBSqTTreWJiYtCvXz/ExMRAoVCY7dhERETUcKRSCbw8xUHarVsD/vcBHX2A7Bzgf38CGRliQbw2rkBbN3HwdvktoKgYOPebAKVSHFuRkSlun54utmC4uam7TKFOVbnJdEwsqEHFx8ejdevWaN++PRYtWoQDBw5AJpNhz549ZhuYXburVXR0NLKyshAVFcXkgoiIqInw8BCL63XtAnTpIoFHW8DeHujUCZDJgH59xJmjsnLEmhnX84A//gBSTgKX0gA3V8CvC+DrK+7X2gVwdORUso2NiQU1KKVSiVGjRuHixYuIiIjAO++8g5ycHJSUlGDBggVmOUft2hivv/46Dhw4ALlcjvj4eLMcn4iIiBpWOw8JXNuI3ZYKCgTcyBNngOrdE+jQQQInJwnKysQie/b2Yn0Lv65AZSXg5ChW73ZoJW7v6ytuV1AgTinLqWQbDxMLalByuRypqan4/vvv4e3tjR9++AFlZWUIDg4228BspVKJ8PBwnRoY5uxqRURERA3nzilg/f0BL8/bA7gFQUBxsdgSUV4G2NsBEhtxLMYtFWBvK1bzbtVK3M/fn1PJWgITC2pQ8+fPh1KpxCuvvIIePXrA1dUV5eXlePPNN812DkO1MVgDg4iIyDqpVALSM2pwIbUG6Rk1UKkETV2LHgE26NNLAk/P2y0YOblinQvHVkCrv1sohBqxancbN7FrVEWluL2nJ9CnlwQ9AmzQzkOCG3mC1nmo4Zg0K1RERIRR29nb28PNzQ09evRAZGQk7r//flNOR01YaGgotm3bhvj4eCQmJkIul2PFihVmnUZ2/vz5iIqKYg0MIiIiK6dSCcjMFHD+AlBVJc4CBYl2FW1AuzK3epYnZymQniFOIyvUAH9dFrs5ubqKLRjt24tjNdR1K9SF84qKxMHcObm65yHzkgjqCYHrICAgoO4nkkjw6KOPYsmSJXXet7EVFBRYOgSjuLu7N5lYG5q6AJ9SqYRcLseCBQuaZA0MPtPmydqfq7u7u6VDaHKs+Xk2NGv/PDd3Tfn+q7/o//UXkJcvJgsuLkBnX7GKdjc/oLPv3TvTqFQCbuQJyMsTZ4pq5aCdTNSWnlGDtLTbhfMEQWz5MOY8hjTl+18fxr4nTGqxSE1NxTvvvIPt27dj2rRpGD16NLy9vQEAWVlZ2LNnD9atW4dx48bhn//8J06ePIkVK1Zg48aN6Nu3L6Kiokw5LZFBrIFBRERk3W7kia0HUilQUwO4tAYK8oHCQnFshDFTwqorZnf2vfe2tQvnAXdW6xapExV1q4i+BIWMZ1K6tnbtWiQkJGDt2rWYO3cuunfvDhcXF7i4uKB79+6YO3cu1q5di82bN2PPnj0YO3YsPv/8c9jY2GDr1q3mvgZqQOaoD2HMMViHgoiIqHlTf9F3kopjJCQA7BwA1S00yJSwzs7icfVV6wZut6CkpYl1MFilu/5MSiw2bdqE0NBQyGQyg9vIZDKtvyLL5XL06tWLM/U0IeaoD2HMMViHgoiIqPlTf9F3bQO4OAM38oGb+WLC0RBTwt45he2dU8+qW1C8vAB3dwnae4ldsm7kMbEwlUmJRWZmJqRS6T23k0qlyMzM1PzcsWNH3Lp1y5RTkgXUpT6EoRYHY47BOhRERETNn/qLfmGR+AXfsRXg1R7o20d7Slh9M0aZ4s4pbO+celZ/VylW6a4Pk8ZYuLu7Izk5GSqVymCCUVpaihMnTqBt27aaZYWFhXB1dTUtUmp0SqUS0dHROvUhEhMTtbZTtzgEBAQgOjoaO3bswMMPPwwvLy8UFhYiMjLyrscw9jxE1DydO3cOq1atwpkzZ1BZWQl/f3/MmDED48aNM2r/lJQU7N+/HydOnMDVq1ehUqnQsWNHRERE4KmnnkKbNm109hk+fDiuXr2q93gxMTFmnRKbiER3zvTUrZvumAZzz+SkHpOhj7OzeHxBEDSDu1mlu35MarEYM2YM8vLyEBcXh3PnzumsP3fuHGbNmoWCggKMGTMGgPjQLl68iK5du9YrYGo8xtaHqN3iMHr0aKSnp6NVq1ZwcnKCnZ0dtm7diiNHjhg8ButQELVcx48fx9SpU5GSkoJRo0bh0UcfRUFBAV544QV8/vnnRh1j3rx5WLNmDZydnREVFYWpU6fCyckJ//3vfzFp0iTk5eXp3a9169Z45plndP4XHh5uzkskolpq16ro7Gujkyw0Zveke3WVorozqcVi7ty5SElJwalTpxATE4MOHTqgQ4cOkEgkyMrKQnZ2NgRBQK9evfDMM88AEP8q7eLigrFjx5r1AqjhGFsfonaLQ3x8PHr06IGhQ4di+/bt2LhxI8aPIQNp6AAAIABJREFUH4+pU6di5syZeo/BOhRELVNVVRUWL14MiUSC9evXIzAwEADwr3/9C7GxsVi1ahVGjx59zz9IzZgxA9HR0fDy8tIsEwQBb7zxBjZu3IhPPvkES5cu1dmvTZs2mDt3rlmviYjqp3b3pLIyATcLgdxcQBCAdh6CWWds0lcrg7NC1Y9JLRZSqRTr16/Hs88+i/bt2yMrKwunT5/GqVOnkJWVBU9PT8ydOxfr16+H89/tSQEBAdi9ezemTp1q1gughqMubuft7Y3ExER4e3tj+/btOvUharc4KJVKPPjggzh06BDkcjkGDx6MSZMmoaqqyuAxjD0PETUvCoUC6enpiIyM1CQVAODi4oI5c+agqqoK33///T2PM2vWLK2kAhC/lMyZMwcAkJycbN7AiajBqAd437ol4Eo6cPUqcLMAuHGjYWZsulcLCtWNSS0WAODg4IA5c+Zgzpw5yMrKQm5uLgDA09MTPj4+ZguQLMuY+hC1WxxsbGzw9ddfo7q6GitWrEBlZSVSU1PxwAMP3PU4rENB1PKcOHECADBkyBCddYMHD9baxhR2duIrztbWVu/6iooK/PDDD8jJyUGbNm3Qv39/kwrAEpH5tPOQIC9PwKW/gPy/i+i173C7iN6NPMHgmAmyPJMTi9q8vb01BfKo5VG3OMTHx+PcuXMoLy+Hn58fdu/ejRdffJHdmohIr8uXLwMAunTporPO1dUV7u7uuHLlisnH/+677wDcTlLudP36dbz88stayx544AEsX75ca+IRImo86u5JN28KqKkWx1q4uQGOjmLXKM7YZN3qnVjk5ubi9OnTyM3NhUQigaenJ4KCgnSapal5q93ioFAoEB8fj8TERMjlcqxYsYLdmohIR0lJCQBxELU+Li4uyM7ONunYFy5cwKeffgoPDw/ExcXprJ84cSJCQkLg7+8PBwcHXLp0CZ988gl++eUXzJkzBxs3btRMQUlEjUsqleC++wRIbID2XuCMTU2IyYlFfn4+3nrrLezduxc1NTVa62xsbDBy5Ei89tpr/KtPC8RuTURkSRkZGXjqqadQXV2NDz/8UO97SD2xiFrfvn3xxRdfYNq0aTh58iQOHz6MYcOGGTyHq6srbGxMGqbYLLi7u1s6hBatJdx/h1YCKioqcbNQgGMrCcrKBXTqKIG/vz2cG6grVKlKwPXcahSXCGjtIoGnl63ec7WE+28qkxKL4uJiPPbYY0hLS4OjoyMGDx6Mjh07AgCuXbuGpKQk7N69G6mpqdi8ebPBv0YREVHL5eLiAkB8p+hTUlJS5/fH1atXMWPGDOTn52PVqlUIDQ01el8bGxtMnDgRJ0+exKlTp+6aWBQWFtYprubE3d0dBQUFlg6jxWpJ99/HW4CDg9j9yctTHH9RUS5BRbn5z3Vn/Qx1hfDaBfWAlnX/azM2mTIpsfjyyy+RlpaG0aNHY8mSJTp/DVK3ZuzevRtfffUVFixYYMppiIioGVNPI3vlyhX06tVLa11hYSEKCgoQFBRk9PEyMzMxffp05ObmYuXKlSbVo1C/PG/dulXnfYnIvO5W3M4cVCpBM9VsYRFQVAT4drrd9Sonl4PF68qkdtx9+/bB29sbK1as0NvE3LZtWyxfvhze3t746aef6h0kERE1P8HBwQCgKaBZW1JSEgAgJCTEqGPVTiri4+MxYsQIk2JSF31Vt8ITUfOkbqFISwNu3gT+/FOsl1H+d2uIRCJBKwdwsHgdmZRYXLt2Df3794e9vb3Bbezt7dG/f39kZWWZHBwRETVfYWFh8PX1xY4dO3DhwgXN8pKSEnz22Wews7PDhAkTNMvz8/Nx6dIl5Ofnax1HnVTk5OTgww8/xEMPPXTX8/75558oKirSWZ6SkoL/+7//g4ODA0aOHFnPqyMia3Znhe+OPmKrRcFNcT0Hi5vGpK5Qjo6ORvUvKygogKOjoymnICKiZs7Ozg5vv/024uLiMHXqVERGRsLFxQV79+5FZmYmnnvuOfj5+Wm2X79+PT755BM888wzWhWzp0+fjqtXr6Jfv35QKpVQKpU656q9/e7du/Hf//4XYWFh6NixIxwcHHDx4kUkJSXBxsYGb7zxBusxETVztSt8A4C7uzim4to1wLGVoBlj0c6D3aDqwqTEomfPnjhx4gR+//13nX6xar///jtOnDhhdDM2ERG1PKGhodiwYQM+/vhj7N69G5WVlfD398e8efMwfvx4o45x9epVAMCZM2dw5swZvdvUTiwGDhyIS5cu4fz58zhx4gQqKirg4eGBsWPH4oknnkCfPn3qf2FEZNWcnYGcXLFlQiKRoFUrwNMTcHUVEwpnZzGpYCXuupEIglDn2uiHDx/GU089BRcXFzzxxBOIjIzU/HXn2rVr+PHHH7FmzRqUlJTg888/x9ChQ80eeENqKqP97zYzgbqWhFKphFwux/z58+s0OwpZRkudbaK5s/bnyqkT686an2dDs/bPc3PH+28e6jEWhUVAq7vMAnWnlnr/jX1PmJRYAMAXX3yBjz76COrd1U1JtX+eN28ennrqKVMOb1FN5QNj6MOtUCgQFRWFgIAAhIeH4+DBg1Aqldi2bRuTCyvXUn9hNXfW/lyZWNSdNT/Phmbtn+fmjvfffGrPCmVsC0VLvf8NnlgAwG+//YZ169bh5MmTyM3NBQB4eXlhwIABmDp1apNtTm4qHxhDH+6YmBhkZ2dj//79sLe3R2VlJSIiIuDt7c3CdVaupf7Cau6s/bkysag7a36eDc3aP8/NHe+/ZbXU+9+gdSzUevfujffee68+h6AGoFQqER0drZm1y97eHsOHD0diYmKdj8UuVURERERkDJOmmyXrJpfLcfDgQVRWVgIAKisrcfDgQcjl8jodR92lKjs7G9HR0cjKykJUVBQUCkVDhE1ERERETVi9ukI1V02lieteYyzkcjmGDx+uGWOxfft2DBw40Ojjs0tV42upTazNnbU/V3aFqjtrfp4Nzdo/z80d779ltdT7b9auUBERESYHIpFIsH//fpP3p7oLDQ3Ftm3bEB8fj8TERMjlcqxYsUIrqTCmi5M5u1QRERERUfNmVGKhniOcmo7Q0FCDrQq1Z42Kjo7GwYMHERUVpTNrlLpL1aJFizQtFqZ0qSIiIiKi5o9dofRoKk1cpjbHGdvFyVxdqsh4LbWJtbmz9ufKrlB1Z83Ps6FZ++e5ueP9t6yWev+NfU9w8HYLpFQqER4ertPFSalUam2n7lLl7e2NxMREeHt7M6kgIiIiIr3qNd0sNU116eJ0ty5VRERERERqTCxagDsHao8cORKvvvoqIiIitLo4rVixwtKhEhEREVETxa5QzZy+WhSvvvoq3n33XXZxIiIiIiKzaXYtFiqVCvv27cPBgweRmpqKrKwsODg4ICAgALGxsYiMjLR0iI0qPj4eAQEBmoHaixYtQkREBPbu3csuTkRERERmpFIJuJEnoLQUcHYG2nlIIJVKLB1Wo2l2iUVKSgoWLlwINzc3hIWFYeTIkcjLy8O+ffvw/PPP4/Tp03jttdcsHWajUSqVCAkJwbRp0zRdoQICAnDixAlLh0ZERETUbKhUApQXBRQVAQ4OQE4ukJcnQC5Di0kuml1i4eXlhffffx+jR4/WzHoEAAsWLMCUKVOwbt06REVFoU+fPhaMsvG0b98eW7duRa9evRAdHY0DBw5g3759CA4OtnRoRERERM3GjTwxqfDyEgtEC4KAnFxxeecWklg0uzEWAQEBGDdunFZSAQDt2rVDTEwMACA5OdkSoVmM+sNd+2ciIiIiMp/SUrGlQv09SyKRoJWDuLylaHaJxd3Y2YkNNLa2thaOpPHk5ORg0qRJ8PHxQWJiInx8fDB58mTk5ORYOjQiIiKiZsPZGSivgOaPuYIgoLxCXN5SNLuuUIZUV1cjMTEREokEgwYNsnQ4jUYulyM1NRUHDhzQqrKtr2YFEREREZmmnYcEeXli96dWDmJS4dpGXN5StJjE4qOPPsLFixcxadIkyGQyS4fTaObPn4+oqCjWrCAiIiJqQFKpBHIZWvSsUBKhdud7KzJw4EDcvHnT6O3XrFljsA5DQkIClixZgsDAQKxbtw7O92iTqqmpgY1N8+kllpSUhHfffRfnz59HYGAgFi1a1KJabYiIzK2goMDSIViMu7t7i75+S+P9t6yWev/d3d2N2s5qWywiIyNRWofRLu3atdO7/LvvvsPSpUshk8nwzTff3DOpAIDCwkKjz2tJxn641QlVbS3x/xRNQUv9hdXcWftzNfaFQUREdDdWm1iYo9bE1q1b8dprr8Hf3x+rV6/my5OIiIiIqIE0n/4+d9i6dSsWL16Mbt26YfXq1Wjbtq2lQ6oThUKBmJgY9OvXDzExMVAoFJYOiYiIiIjIoGaZWGzZskUrqfDw8LB0SHWiUCgQFRWF7OxsREdHIysrC1FRUWZJLpiwEBERETU8lUpAekYNLqTWID2jBiqVVQ5rNiurHbxtqmPHjuHJJ5+EIAiIiYmBp6enzjY9evTAiBEjDB7D0n2hY2JikJ2djf3792tNEevt7Y2EhATNdnXtt61OWAICAhAeHq6ZIWrbtm0IDQ1tiEuhOrL2vvhkGmt/ruwmWnfW/DwbmrV/nps73n/LMvb+q1QClBfFStwODtBMPSuXNc1Zopr84G1TZWVlaQqT1P4SXtuECRPumlhYmlKpRHR0tKZ6uL29PYYPH47ExMR6HTc+Ph4BAQGahGXRokWIiIhAfHy8wXtFRERERHVzI09MKry8xArcgiDWt7iRJ6BzE0wsjNXsEouJEydi4sSJlg6jXuRyOQ4ePIhFixZpWiwOHjxY76J2DZWwEBEREdFtpaViS4VEIiYREokErRzE+hbNWbMcY9HUzZ8/H0qlEhEREXj99dcREREBpVKJBQsW1Ou46oSlsrISAMyWsBARERHRbc7OYvcndS8aQRArcRtR9aBJY2JhhUJDQ7Ft2zZ4e3sjMTER3t7e2L59u8ECgMZqqISFiIiIiG5r5yGBaxsgJxcoKBC7Qbm2EZc3Z81u8LY5NJVBUaYM4FIoFIiPj4dSqYRcLseCBQvqnbCQ+XBQXvNk7c/V0oO3z507h1WrVuHMmTOorKyEv78/ZsyYgXHjxhl9jJqaGmzYsAEJCQm4cuUKpFIpBg4ciPnz56Nr165mP681P8+GZu2f5+aO99+y6nL/VSoBN/LE7k/OzmJS0RQHbgMtePA23V1oaCgHahOR1Th+/Dj+8Y9/wN7eHg8//DBat26NvXv34oUXXsDVq1fx9NNPG3WcpUuXYvPmzfD398e0adOQl5eHXbt2ISkpCZs2bYK/v3+DnJeIyBCpVNKsB2rrwxYLPZrKXwL4V4vmh8+0ebL252qpFouqqiqMGTMG2dnZSEhIQGBgIACgpKQEsbGxSEtLw86dOw22OKgpFArMmDEDAwYMwP/93//BwcEBwO3pxwcMGIB169aZ9bzW/DwbmrV/nps73n/Laqn339j3BMdYEBGRRSgUCqSnpyMyMlLz5R4AXFxcMGfOHFRVVeH777+/53G2bNkCAHjuuec0SQUAhIWFYciQIUhOTkZaWprZz0tERNqYWBARkUWcOHECADBkyBCddYMHD9ba5m6OHz8OqVSK/v3766xTHzs5Odns5yUiIm1MLIiIyCIuX74MAOjSpYvOOldXV7i7u+PKlSt3PYZKpcL169fRqVMn2Nra6qxXd2dSn8tc5yUiIl0cvE1ERBZRUlICAGjdurXe9S4uLsjOzr7rMYqLizXbGjpG7XOZ67yurq6wsWm5f5uz9ExiLR3vv2Xx/hvGxIKIiKiOCgsLLR2CxbTUwavWgvffslrq/efgbSIismrq1gR1q8OdSkpKDLYqqKnX126RuPMYtc9lrvMSEZEuJhZERGQR6vEP+sYzFBYWoqCgQO84iNqkUik8PT2RmZmJ6upqnfXq8RS1p441x3mJiEgXEwsiIrKI4OBgAMCRI0d01iUlJQEAQkJC7nmckJAQqFQqnDp1Smed+tjqc5nzvEREpI2JBRERWURYWBh8fX2xY8cOXLhwQbO8pKQEn332Gezs7DBhwgTN8vz8fFy6dAn5+flax5kyZQoAYOXKlaioqNAsP3bsGI4cOYLg4GD4+fmZfF4iIjIOB28TEZFF2NnZ4e2330ZcXBymTp2KyMhIuLi4YO/evcjMzMRzzz2nlRCsX78en3zyCZ555hnMnTtXszw0NBSPPPIItmzZggkTJmDo0KHIy8vDrl274OLigtdff71e5yUiIuMwsSAiIosJDQ3Fhg0b8PHHH2P37t2orKyEv78/5s2bh/Hjxxt9nDfffBNyuRwJCQlYu3YtpFIpwsPDMX/+fL1JgrnOS0REt0kEQRAsHYS1aSrTiLXUKc+aMz7T5snanyvnZK87a36eDc3aP8/NHe+/ZbXU+8/pZhuRQqFATEwM+vXrh5iYGCgUCkuHRERERETUqJhY1JNCoUBUVBSys7MRHR2NrKwsREVFMbkgIiIiohaFiUU9xcfHIyAgAPv378frr7+OAwcOQC6XIz4+3tKhERERERE1GiYW9aRUKhEeHg57e3sAgL29PYYPHw6lUmnU/uxGRURERETmoFIJSM+owYXUGqRn1EClEu663NyYWNSTXC7HwYMHUVlZCQCorKzEwYMHIZfL77kvu1ERERERkTmoVAKUFwWkpQE3bwJ/pQHKiwLy8mr0Lm+I5IKzQulRl9H+6uRALpdj+PDhOHjwIJRKJbZv346BAwfedd+YmBhkZ2dj//79sLe3R2VlJSIiIuDt7Y2EhIR7nrulzkzQnPGZNk/W/lw5K1TdWfPzbGjW/nlu7nj/Lcua7396Rg3S0gAvL0AikUAQBOTkAo6OQHmZ7vJufkBnX+PaGDgrVCMJDQ3Ftm3b4O3tjcTERHh7exuVVAD170ZFRERERAQApaWAg4OYPADiv60cgPx8/ctLS80fAwvkmUFoaKhRLQx3UnejWrRokabFwthuVEREREREas7OQE4uIAiCpmWivAJo2xYoK9Nd7uxs/hiYWFjQ/PnzERUVhYiICK1uVCtWrLB0aERERETUhLTzkCAvT+zm1MpBTB5c2wCdfYH0DOgsb+chMXsM7AplQfXpRkVEREREpCaVSiCXSdDND3BzE8dQyGUSeHjY6F0ulZo/sWCLhYWZ2o2KiIiIiKg2qVSCznoSBkPLzY0tFkREREREVG9MLIiIiIiIqN6YWBARERERUb0xsSAiIiIionpjYkFERERERPXGxIKIiIiIiOqNiQUREREREdUbEwsiIiIiIqo3JhZERERERFRvTCyIiIiIiKjeJIIgCJYOgoiIiIiImja2WBARERERUb0xsSAiIiIionpjYkFERERERPXGxIKIiIiIiOrNztIBUP2oVCrs27cPBw8eRGpqKrKysuDg4ICAgADExsYiMjLS0iHSPZw7dw6rVq3CmTNnUFlZCX9/f8yYMQPjxo2zdGhkgpycHOzevRu//PIL/vrrL9y4cQOurq7o378/4uLi0LdvX0uHSGS069evY+XKlTh8+DAKCwvh4+ODcePGYdasWXBwcDD6OHK53OC6559/HrNmzTJHuE2SOd4BNTU12LBhAxISEnDlyhVIpVIMHDgQ8+fPR9euXRsu+Gagvvf/+PHjmD59usH1CQkJ6Nevn7nCtXpMLJq4lJQULFy4EG5ubggLC8PIkSORl5eHffv24fnnn8fp06fx2muvWTpMMuD48eP4xz/+AXt7ezz88MNo3bo19u7dixdeeAFXr17F008/bekQqY7Wrl2Lr776Cp07d8agQYPg4eGBK1euYP/+/di/fz8++OADjB071tJhEt3T9evXMWXKFGRlZWHEiBHo2rUrTp48qfkS9uWXX8LGxviODx07dsSECRN0lvfv39+cYTcp5noHLF26FJs3b4a/vz+mTZuGvLw87Nq1C0lJSdi0aRP8/f0b+EqaJnO+g0NCQhASEqKzvEOHDuYM2foJ1KRduHBB2L59u1BRUaG1/Pr160J4eLggk8mEs2fPWig6upvKykphxIgRQq9evYQ//vhDs7y4uFh4+OGHhcDAQCEtLc1yAZJJfvrpJyE5OVlneXJystCzZ08hJCREKC8vt0BkRHWzcOFCQSaTCevXr9csq6mpEV566SVBJpMJW7duNfpYMplMmDZtWkOE2WSZ6x1w7NgxQSaTCVOnTtX63XL06FFBLpcLjz32WEOE3+SZ6/4rFApBJpMJH3/8cQNG23RwjEUTFxAQgHHjxsHe3l5rebt27RATEwMASE5OtkRodA8KhQLp6emIjIxEYGCgZrmLiwvmzJmDqqoqfP/99xaMkEwxcuRIDBgwQGf5gAEDMHDgQNy8eRNKpdICkREZr6SkBLt27YKvry8effRRzXKJRIIFCxbAxsYGW7ZssWCETZ+53gHq5/Dcc89pdU8LCwvDkCFDkJycjLS0NPNfQBPHd3DDYFeoZszOTny8tra2Fo6E9Dlx4gQAYMiQITrrBg8erLUNNQ/q/0+q/yWyVmfOnEFFRQUGDRoEiUSitc7LywsymQxnz55FeXk5WrVqZdQxi4qKsGXLFuTl5aFt27YICQlp0f3/zfUOOH78OKRSqd4uZUOGDMGvv/6K5ORk+Pn51TPi5sXc7+DLly9jzZo1KCsrg4+PDwYNGoS2bduaJ9gmhG+3Zqq6uhqJiYmQSCQYNGiQpcMhPS5fvgwA6NKli846V1dXuLu748qVK40cFTWUa9eu4ejRo/D09IRMJrN0OER3pf7dY+iLf5cuXZCamoqMjAyj+++npqZi8eLFmp8lEgnGjRuHN998E05OTvWOuakxxztApVLh+vXrkMlkev+IqH5+6nPRbeZ+B+/YsQM7duzQ/Ozo6Ii5c+ciLi6u3rE2JUwsmqmPPvoIFy9exKRJk/glxkqVlJQAAFq3bq13vYuLC7KzsxszJGoglZWVWLhwISoqKvDCCy+wFZGsXnFxMYC7/36qvd29zJw5E2PGjEGXLl0gkUhw/vx5xMfHY/v27aiursaHH35onsCbEHO8A9T3X/089B2j9rnoNnO9g9u2bYuFCxdi2LBh8PHxQVFREY4fP473338fK1asgIuLC2JjY80auzVjYmEl1H2vjbVmzRoMHDhQ77qEhAR88cUXCAwMxKJFi8wVIhGZoKamBq+++iqSk5MxZcoUREdHWzokakHM+W6pj5deeknr59DQUHz77beIiorCzp07MXv2bHTv3t3s5yVqaN27d9f67Do5OWH8+PEICAjAxIkTsWrVKkyZMqVOM6g1ZUwsrERkZCRKS0uN3r5du3Z6l3/33XdYunQpZDIZvvnmGzg7O5srRDKze/3Fr6SkxOBfUqhpEAQBixcvxvbt2zF+/Hi88cYblg6JWhhT3y3q3z13+/1UeztTODk54eGHH8Znn32GU6dOtbjEwhzvAPV6Qy0S6uWGWjRasoZ+B8tkMvTt2xcpKSm4cuVKixnjwsTCSpij1sTWrVvx2muvwd/fH6tXr4a7u7sZIqOGou77euXKFfTq1UtrXWFhIQoKChAUFGSByMgcampqsGjRInz//feIjIzEv//97xbzFyuyHqa+W9T9zg31zb9y5QpsbGzg6+tramgAoHlP3bp1q17HaYrM8Q6QSqXw9PREZmYmqqurdbpZqp9fSx4kb0hjvIPVn++ysrJ6Hacp4Vuumdi6dSsWL16Mbt26YfXq1S1yJoKmJjg4GABw5MgRnXVJSUkAoLfYDlm/2knF2LFjsXz5co6roCalX79+cHBwwNGjRyEIgta63NxcXLx4EX379jV6RihDzp49CwDo1KlTvY7TFJnrHRASEgKVSoVTp07prFMfW30uuq2h38FVVVU4f/48JBIJvL29TT5OU8PEohnYsmWLVlLh4eFh6ZDICGFhYfD19cWOHTtw4cIFzfKSkhJ89tlnsLOz01ullqxb7aRi9OjRWLFiBZMKanJcXFwwduxYZGRkYOPGjZrlgiDgww8/RE1NDR555BGtfW7duoVLly7h2rVrWsvPnz+vt0Vi9+7d2LlzJ9zd3REWFtYwF2LF6voOyM/Px6VLl5Cfn691nClTpgAAVq5ciYqKCs3yY8eO4ciRIwgODm4x3XDqwlz3//Tp0zrJd1VVFZYvX46rV69iyJAhcHNza9iLsSIS4c67QU3KsWPH8OSTT0IQBMTExMDT01Nnmx49emDEiBEWiI7uRaFQIC4uDvb29oiMjISLiwv27t2LzMxMPPfcc5g9e7alQ6Q6WrVqFT755BNIpVJMnz5db82KESNGoEePHhaIjsh4ubm5mDJlCrKzs/HQQw+ha9euSElJwalTpzBkyBB89dVXWt37jh8/junTpyMkJARr167VLH/55Zexf/9+hIWFwdvbG4Ig4Pz580hJSUGrVq2watUqDB061BKXaHF1eQeof7c888wzmDt3rtZxFi9ejC1btsDf3x9Dhw5FXl4edu3ahVatWmHTpk1GTwnc0pjj/g8fPhwAEBQUhPbt26O4uFhTlNDHxwfr1q1Dx44dG/3aLIVjLJq4rKwsTaackJCgd5sJEyYwsbBSoaGh2LBhAz7++GPs3r0blZWV8Pf3x7x58zB+/HhLh0cmuHr1KgBxfvnPP/9c7zYdO3ZkYkFWz8vLC5s3b8bKlStx+PBh/Pzzz/Dx8cHcuXMxa9Yso8cMRUREoKioCH/88Qd+/fVXVFVVoX379pg8eTJmzpyJ++67r4GvxHqZ6x3w5ptvQi6XIyEhAWvXroVUKkV4eDjmz5/P1oq7MMf9j42Nxa+//ooTJ06goKAAdnZ26Ny5M55++mnMnDkTrq6uDXwV1oUtFkREREREVG8cY0FERERERPXGxIKIiIiIiOqNiQUREREREdUbEwsiIiIiIqo3JhZERERERFRvTCyIiIiIiKjemFgQEREREVG9MbHnY4miAAAUV0lEQVQgIiIiIqJ6Y2JBRERERET1xsSiBZPL5Rg+fLilw9Dx+OOPQy6XIzMz02IxHD9+HHK5HC+//LLFYmjuXnnlFQQFBSE/P98i53/55Zchl8tx/PhxzbKysjIMGTIEs2bNskhMRNRyZGZmQi6X4/HHHzd6H/X7US6X44svvjC4XW5uLgIDAzXbWvJ9Si0LEwsianRKpRKJiYl47LHH0LZtW5OO0RDJn6OjI+Li4nD48GEcO3bMbMclIjK3H3/80eC6nTt3orq6uhGjIRIxsSCiRrdy5UrY2tpi5syZlg5FR2xsLNq0aYMPP/zQ0qEQEekVGBiI//3vf7hw4YLe9du3b4erqys6derUyJFRS8fEgogaVVZWFg4dOoQHHnjA5NaKhuTo6IiRI0fi3Llz+OOPPywdDhGRjvHjxwMQE4g7Xbp0CefPn8fo0aNhb2/f2KFRC8fEgvQ6fPgwnnzySQQHB6N3794YNWoU3n//fRQVFendvrS0FO+99x6GDh2KPn36YOzYsVizZg0EQajXWI5t27Zh4sSJ6Nu3L8LCwvDSSy8hJydH77ZVVVVYu3YtJk6ciKCgIAQFBWHy5MnYsGGDwSbhzMxMLFiwAAMHDkRQUBBiY2Nx6NAhvdvOmjULcrkcSUlJeterVCr0798f999/P1Qq1T2vrXYf/6NHj2LatGkICgpCWFgYFi9ejOLiYgBAXl4elixZgiFDhqB3796YPHmy1rgAtfLycmzZsgWzZ89GREQE+vTpgwEDBuCxxx7Dzp079cZQWVmJTZs2YfLkyRg4cCD69u2L4cOH46mnntLZR6VS4csvv0RUVBQGDBiAoKAgjBgxAs8++yx+/fXXe16v2nfffYeamhqMGzdO7/pLly7hxRdfxIgRI9C7d2+EhoYiKioK77zzDnJzczX3bvr06QCAH374QdOPWC6XY9WqVVrH++mnnzB58mT06dMHgwYNwsKFCw1+htQiIyMBAJs3bzb6uoiITFVSUoK3334bQ4cORe/evTFmzBh8++23qKmp0bt9UFAQfH19sXPnTp1ttm3bBuB28kHUmOwsHQBZny+++AIffvgh7OzsEBwcDHd3d5w6dQpfffUV9u3bh/Xr16Ndu3aa7cvLy/HEE0/g3LlzaNu2LYYNGwaVSoXly5cjPT3d5Di++eYbbNiwAQMGDEBERATOnDmDxMREKBQKJCQkoEOHDpptq6urMWfOHBw+fBguLi4ICwsDACgUCrzxxhs4evQoPv74Y9jY3M6l09PTERsbi7y8PHTt2hU9e/ZEZmYmnn76acTGxurEExsbi8OHD2Pz5s0YPHiwzvqdO3eitLQUsbGxkEqlRl+n+p726NEDQ4YMwblz57BlyxZcuXIFH330EWJiYlBeXo6+ffvi+vXrOHv2LOLi4rB161bI5XLNcTIzM7F48WK0a9cO3bp1Q58+fXDjxg2cPn0aKSkp+OuvvzB37lytcy9cuBC7du2Cu7s7goKC4OTkhJycHKSkpEClUuHhhx/W3N+ZM2fi9OnT6NChA0JCQmBvb4+cnBwcOnQIUqkUDzzwgFHX+/PPPwMABg4cqLPujz/+wNSpU1FeXo4+ffqgT58+KC0tRUZGBtasWYMRI0bAy8sL999/P65fv44jR46gc+fOuP/++zXH6NGjh+a/161bh7feegu2traaz/LRo0dx4sQJBAQEGIyxf//+sLe3xy+//GLUNRERmaqiogLTp09HRkYGQkNDUVlZiWPHjmHZsmVQKpVYtmyZ3v0iIyPxn//8B8ePH9e88wRBwI4dO9CxY0et34tEjUagFksmkwnh4eFay86ePSsEBAQIQUFBwtmzZzXLy8vLhWeffVaQyWTCs88+q7XPp59+KshkMiEmJkYoLi7WLL9w4YIQHBys9zx3M23aNEEmkwmBgYHCoUOHNMsrKiqE559/XpDJZMK//vUvrX2+/vprQSaTCZGRkcKNGzc0y3NycoRRo0YJMplMWLdundY+M2fOFGQymfD6668L1dXVmuWbN28WZDKZIJPJhJdeekmzvKqqShg6dKjQs2dPIS8vTyfuRx55RJDJZMLvv/9u1HW+9NJLgkwmE3r06CHs2bNHs7y4uFiIjIwUZDKZMHbsWOG5554TysrKNOvj4+MFmUwmLFy4UOt4+fn5wq+//qp1LYIgCOnp6UJ4eLgQEBAgZGRkaJZnZGQIMplMmDRpktbxBUEQbt26JZw6dUrzs0KhEGQymTB79myd4xcVFQm//fabUddcUlIiBAYGCsOGDbvrPfnpp5901v35559CTk6OTky1n1FtGRkZQq9evYRevXoJCoVCs1ylUglPPvmk5hnXXlfbhAkTBJlMJmRmZhp1bUREdaH+HSyTyYRx48ZpvVeuXLkiDBkyRJDJZML+/fs1y9Xvx9OnTwuXLl0SZDKZ8PLLL2vWJycnCzKZTPjggw8EQRA077/av/uJGhK7QpGW9evXo6amBjNmzECfPn00yx0cHLBkyRI4Ojpi7969Wl1JEhISAIjdU1xcXDTLAwICMG3aNJNjGT16NIYOHar52d7eHosWLYJUKsWBAwe0Yli7di0A4NVXX4WHh4dmuZeXFxYuXKi1DSC2Vhw5cgSurq548cUXtVoyHnnkEQQFBenEY2tri8mTJ6OyshKJiYla6y5evIizZ88iMDAQPXv2rNN1jhs3DqNGjdL87OLigilTpgAAcnJy8MYbb6BVq1aa9f/4xz8gkUiQnJysdRx3d3cMGTJE61oAwNfXF7Nnz0ZNTY2mtQCAZprXoKAgreMD4jiD2vcgLy8PABASEqJz/NatW6NXr15GXeulS5dQVVUFPz8/vevV5wkNDdVZd99998HLy8uo8wBil6uKigpER0drtY44OTlh8eLFkEgkd92/W7duAIDU1FSjz0lEZIqXXnpJa8xZ586dMWfOHADAhg0b9O7TrVs39OrVC3v37kV5eTmA22Mu2A2KLIWJBWlJSUkBAL393z08PDB48GDU1NTg1KlTAIBr164hOzsbHTp0QL9+/XT2GT16tMmxqLvh1Obu7o5BgwbpxHDt2jV4enpqmoNrCw8PR5s2bZCWlqb5Mq3e98EHH9TbbUnfuQEx6bCzs8OWLVu0lqv74qsTgroYNGiQzjJfX18AQK9evdCmTRutda1bt4abm5tmvMGdUlJS8Nlnn2Hp0qV45ZVX8PLLL2PPnj0AgCtXrmi269atG6RSKb7//nts3rwZBQUFBmPs0aMHbGxs8PXXX2Pnzp0oKSmp83UCtxOHO69JTZ2ULVy4EOfOnTPYv9gYJ0+eBACMGTNGZ123bt0QGBh41/3d3NwAwGJ1NoioZXBzc9PbvVb9Hj516hQEQdC77/jx41FSUoKDBw+ioqICe/bsQWBgIPz9/Rs0ZiJDOMaCtOTm5kIikaBjx45616uXq7/Uqv/19vbWu72Pj4/JsRja11AMhmKWSCTw8fFBUVERcnNz0bZtW80+hs5h6Hrat2+PYcOGYf/+/UhJScGAAQNQUVGBH3/8EU5OTgYHJN9N+/btdZY5OTkZXAcAUqlUJxEoLi7GM888A4VCYfBcpaWlmv92cXHBW2+9hddeew2vvfYalixZAj8/PwwcOBDR0dFaiaKfnx8WLlyIDz74AAsWLICtrS26d++OQYMGYeLEiejevbtR16oekO7s7Kx3fVxcHE6ePImff/4ZP//8M1q3bo2+ffti2LBhmDBhglaL2L3c67Pp7e1911mf1DGamkQRERnD0HvIxcUFbdq0QVFREUpKStC6dWudbSIjI7F8+XL8+OOPsLOzQ2FhIWbPnt3QIRMZxBYLMsm9upE0JEN/ualLTOpjmHId6oHd6laLn376CTdv3sSYMWPq9MVX7W4x1CW+FStWQKFQIDg4GGvXroVCocD58+ehVCrx9ddfA9C9d5GRkThw4ADefvttjBo1CoWFhdi4cSNiYmKwfPlyrW2ffPJJ7Nu3D4sXL8aDDz6Ia9eu4ZtvvsH48eOxfv16o2JUvxgNfVl3cXHBmjVrsH79esTFxcHPzw/Hjh3D22+/jdGjR9dpMoD6POPaMZryTImIzMHQ+07Nw8MDYWFh+OWXX7Bu3TrY2toabHEnagxMLEiLl5cXBEHA1atX9a6/du0aAMDT01Pr36ysrLtubwpD+6rPpe5vr/43MzPT4LEM7WPoOg1dDwAMGTIEvr6+2LNnD4qKiurVDcqc9u/fD1tbW/znP/9BSEgI3N3dYWtrCwDIyMgwuF/btm3xyCOP4KOPPkJSUhK++uoruLi44Ouvv8aff/6pta23tzcef/xxfP755zh27BiWL18OGxsbLFu2zOBUxLWpx78UFhYa3EYikWDAgAF48cUXsWXLFhw5cgSRkZG4fv16nYrWqZ/xvT5HhqhjtMZaG0TUfBj6HVVSUoLi4mJIpdK7/oFj/PjxqKyshEKhQGhoaJ3GohGZGxML0jJgwAAAwI8//qizLj8/H0lJSbCxsUH//v0BiN2PvLy8kJ2djbNnz+rs89NPP5kcy65du3SW3bx5E0lJSZBIJJrBxT4+PvDx8cH169dx7NgxnX0OHTqEwsJC+Pn5ab4kquP/5Zdf9NacMFT3ARC/+E6ZMgVlZWX45JNPkJycjO7du+sd8N2YioqK4OzsrLe5fPfu3UYdQyKR4MEHH8SwYcMAiIPSDbGzs0NUVBR69+6NyspKXL58+Z7H9/f3h52dHf766y+j4gHEL/bPPPOMTjzqwk9VVVV691NPtageX1JbWlqawYq1auoYa09fS0Rkbjdv3sTRo0d1lu/YsQOAOMHG3VpeH3roIXTo0AFubm6YMGFCg8VJZAwmFqTlscceg42NDdasWYPffvtNs7yiogJvvfUWbt26hYceekir739MTAwA4N///rdWF5eLFy9i3bp1JseyZ88ercJrVVVVWLZsGVQqFYYPH65Vx0I9+9SyZcu0Bttev35d06Xn8ccf1yzv0qULwsLCUFhYiA8++EBrkPB3332H06dP3zW2SZMmwd7eHqtXr4YgCHjkkUdMvk5z6dq1K4qKinQSsm+//VZvQb3z589j7969qKys1FpeWFioSRLVfX8VCgWOHj2qM5j66tWruHTpEiQSicHxILVJpVL06NEDOTk5eovUbdy4UW/rirqeRO3xEuq/yqWlpek9l/oZJSYmaiYlAICysjK88847dx0YXl5ejosXL2qSViKihrR8+XKtcXMZGRn47LPPAABTp069675OTk44fPgwjh8/btI4PyJz4uBt0tKnTx/MmzcP8fHxiI2N1XSpOXXqFLKystC1a1csWbJEa5+4uDj8/PPPOHXqFB566CGEhIRApVJBoVBgypQpWLduneavy3UxZcoU/POf/0RwcDC8vLxw5swZZGZmwsvLC4sXL9ba9oknnoBCocAvv/yCkSNHIjQ0FIIg4NixYygtLcWIESPw6KOPau3z+uuv49FHH8W6deuQlJSkKZB39uxZxMbGYtOmTQZj8/DwwIgRI7B79244ODggKiqqztdnbrNmzcKLL76I+fPnY/369ejQoQNSU1Px119/4YknnsC3336rtf21a9cwd+5czXSx7dq1Q3FxMVJSUlBSUoKHHnpIM4A7NTUVy5YtQ9u2bdGzZ0+4ubmhoKAAycnJKC8vx4wZM4xKLABg2LBh+O2333D8+HGdKRE3bdqE119/Hf7+/rjvvvtga2uraV1wdHTUtFwAQKdOnSCXy/H7779j8uTJ6N69O2xsbDB8+HBERETA19cXL7zwApYtW4bp06drPsspKSmwsbFBeHi41vS7tZ06dQqVlZV48MEH6/AEiIjqrl+/fqisrMSoUaMQGhqKiooKKBQK3Lp1C+PHj8eIESMsHSKR0dhiQTqefvppfPHFFwgODsZvv/2GvXv3wsHBAXFxcdi8ebNW1W1ArHmwevVqPPHEE7C3t8eBAweQkZGBBQsW4J///CeA21N31sXMmTOxbNkyFBcXY9++fSgpKUFUVBS2bNmi81dk9diCRYsWwdfXF0eOHEFSUhL8/PywZMkSnarbgPgX/s2bN2PMmDHIz8/HgQMHIAgCPv30U4wdO/ae8amnth05cqRJ12du48ePx5dffol+/frhwoUL+OWXX+Dl5YXVq1dj+PDhOtv37dsXzz33HHr27Im0tDTs2bMHv//+O+RyOd577z2sXLlSs214eDhmz56Nrl27IjU1FXv27MH//vc/DBgwAJ9++ileffVVo+OcNGkSbG1tNc38tc2bNw+TJk2CRCLBsWPH8PPPP+PWrVuIiYnB9u3bdbqbrVq1CiNGjEBGRgYSExOxdetWnD9/XrP+iSeewMqVKxEQEICTJ0/i2LFjCAkJwebNm+/6zNRdAS09boaImj8HBwesXr0aDz/8ME6fPo0jR46gQ4cOeOmll/Dvf//b0uER1YlEuNeUA0T1sGvXLsyfPx+xsbF44403LB2OWc2cORNJSUlYs2aNVgE2urd//etfOHToEA4fPqyTqFpaWVkZHnjgAXTt2lWnXgkREREZxhYLMosLFy7o9FlXKpVYsWIFAP0F95qyc+fO4ejRo+jevTuTChPMmzcPNTU1+Oabbywdio5NmzahqKgICxYssHQoRERETQrHWJBZzJ8/HyUlJZDL5WjTpg2uXr2K33//HdXV1YiNjdXMNtXUvf/++8jKysKhQ4cgCALmz59v6ZCaJJlMhujoaGzcuBFxcXFWM6VrWVkZ/vvf/+LBBx/UW8WdiIiIDGNXKDKL9evXY+fOnbh8+TKKiorg6OgIuVyOyZMnN6vp74YPH46srCx07NgRcXFxmmJ5RERERC0dEwsiIiIiIqo3jrEgIiIiIqJ6Y2JBRERERET1xsSCiIiIiIjqjYkFERERERHVGxMLIiIiIiKqNyYWRERERERUb0wsiIiIiIio3phYEBERERFRvTGxICIiIiKievt/xxbVe+DmJiQAAAAASUVORK5CYII=\n", "text/plain": [ - "
" + "Computed from 1000 by 50 log-likelihood matrix\n", + "\n", + " Estimate SE\n", + "deviance_loo 132.82 10.71\n", + "p_loo 5.18 -\n", + "------\n", + "\n", + "Pareto k diagnostic values:\n", + " Count Pct.\n", + "(-Inf, 0.5] (good) 50 100.0%\n", + " (0.5, 0.7] (ok) 0 0.0%\n", + " (0.7, 1] (bad) 0 0.0%\n", + " (1, Inf) (very bad) 0 0.0%" ] }, + "execution_count": 49, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" } ], "source": [ - "# Figure 7.10\n", - "\n", - "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[8, 4])\n", - "\n", - "ax1.scatter(d2.log_M, d2.log_B, s=15, facecolor=(0,0,0,0), edgecolor='k')\n", - "ax1.set_xlabel('log body mass (std)')\n", - "ax1.set_ylabel('log brain mass (std)')\n", - "\n", - "ax2.scatter(m_7_8_trace[bM], m_7_8_trace[bB], alpha=0.2, s=15)\n", - "ax2.set_xlabel('bM')\n", - "ax2.set_ylabel('bB')\n", - "\n", - "fig.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.42" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [], - "source": [ - "# why doesn't pointwise=True produce a pointwise result? Output is identical when True or False!\n", - "waic_m_7_8 = az.waic(m_7_8_trace, pointwise=True)\n", - "waic_m_7_9 = az.waic(m_7_9_trace, pointwise=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.43" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [], - "source": [ - "# compute point scaling\n", - "x = d2.log_B - d2.log_M\n", - "x -= x.min()\n", - "x /= x.max()\n", - "\n", - "# can't draw plot until 7.42 issue is solved." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.44" + "az.loo(m_5_3t_trace, pointwise=True, scale='deviance')" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 50, "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bL, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 3000/3000 [00:02<00:00, 1022.36draws/s]\n" - ] + "data": { + "text/plain": [ + "array([],\n", + " dtype=object)" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_3%hpd_97%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
a-0.0450.019-0.081-0.0090.0010.000830.0806.0827.0640.01.00
bM0.9380.0280.8820.9880.0010.001719.0719.0707.0593.01.00
bL0.1160.0300.0630.1720.0010.001727.0700.0729.0696.01.01
sigma0.1960.0140.1730.2260.0000.000814.0810.0818.0789.01.00
\n", - "
" - ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmMAAAFpCAYAAADQuy+GAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdfVzN9/8/8Eedc0p0iSIdc5UuXBRCLlpRKkOuMowVhm22smFz8bF9MbuUyWQ2Fx8NnzFN+WzCzEUWttKQctUQqUTTdaM61fv3R79zPo5zujqdOuFxv93cptf7/Xq9X+/XaXr2er3ez7eeIAgCiIiIiEgn9HXdASIiIqLnGYMxIiIiIh1iMEZERESkQwzGiIiIiHSIwRgRERGRDjEYIyIiItIhBmNEREREOsRgjIiIiEiHGIwRERER6RCDMSKiZ0hUVBTs7e2xdOlSpfL4+HjY29sjICBAqTwjIwP29vbw9PSs97U8PT1hb2+PjIyMBvWZGpe9vT3s7e113Q2qgVjXHSCippGTk4Nt27YhNjYWGRkZqKysRLt27TB48GDMmTMHnTp1UluvqKgI27dvx9GjR5Geng6JRAJ7e3u88sorGDNmjMb9uXnzJjZt2oT4+HgUFBSgXbt28Pb2xrx582BqaqpyfkVFBTZu3IioqCjk5OSgS5cuCA4Oho+Pj9r2r127hokTJ2LGjBlYsmSJxv0EgLKyMuzfvx8nTpzA1atXkZeXB7FYDGtra/Tr1w9jx47FwIEDG3QNqpmnpycyMzPx2WefYeLEiQ1u7+rVqzh27BgcHR0xYsQILfSQSHOcGSN6DqSmpsLPzw/bt29HWloarK2t0blzZ2RnZyMiIgLjxo3D2bNnVerdv38fkyZNwqZNm5CamorOnTujXbt2OHfuHBYtWoQVK1Zo1J+4uDhMnDgR0dHRqKioQPfu3fHgwQNs374dEydOxIMHD1TqrFu3Dps2bUJRURG6dOmC1NRUzJ8/H8ePH1d7jY8++gitW7fG22+/rVEf5ZKTkzFy5Ej83//9H06ePIny8nJ0794dUqkUWVlZ+PHHHxEQEIA33nijQddpbEZGRujSpQusra113ZVm4erVq9i4cSOOHTum664QcWaM6Hnw0UcfIScnB/369UNoaCjat28PAMjLy8O//vUvnDhxAsuWLcOxY8egp6enqPf+++/j9u3b6N69O7799ltIpVIAVbNOc+fOxQ8//IC+ffti/Pjxde5LcXExFixYgJKSEgQEBGDJkiWQSCTIy8vDW2+9hfPnz2P58uXYvHmzok5ubi527doFGxsbREREoG3btkhISEBgYCA2bNgALy8vpWv897//xblz57BmzRoYGxtrPG7JyckICAjAo0ePMHToUCxcuBC9evVSHC8rK8OZM2fw9ddf49y5cxpfpyk4OTnhl19+0XU3iEgNzowRPeMePXqE+Ph4AMDKlSsVgRgAWFhY4PPPP4eenh4yMjKQmpqqOHbt2jVFvY8//lgRiAGAg4MDli1bBgDYuHFjvfrzww8/IDc3F926dcOyZcsgkUgUffnyyy8hFotx8uRJXL58WVHnr7/+QmlpKSZOnIi2bdsCAAYMGAAXFxdcu3YNxcXFinOLi4uxdu1auLi4YNy4cfXq2+PKysqwYMECPHr0CGPGjMG2bduUAjEAMDAwwPDhwxEREYF58+ZpfC0ier4xGCN6xslkMlRWVgIAOnbsqHLczMwMZmZmAIDy8nJFuXymp3379ujTp49KvREjRkBfXx/p6em4dOlSnftz9OhRAMCECRMgEomUjnXo0AGDBw8GABw5ckRRnpubCwBo06aN0vmWlpYAgH/++UdRtnHjRuTm5uLDDz+sc5/U+fnnn5Geng4LCwusWrUK+vrV/3Opr6+P2bNnK5U9vrk9Li4Oc+bMgaurK+zt7RVBLlAVLG/ZsgUTJ05Ev3794OzsjHHjxmHbtm0oKytTez1BEPDjjz9i3LhxcHJywuDBg7FgwQKkpaVV28fqNvA/2e6uXbvg5+cHZ2dnDB48GO+//z7u3r1bbZ2anDp1Cm+++SaGDBmCXr16wd3dHcuWLcOdO3c0ak+dsLAw2NvbIywsDEVFRfjkk08wbNgw9OrVC97e3vj666+Vvq+Bqs9G/svE/v37FRvcqxuf+tzHkw9EREREwN/fH3379oW9vT0KCgrQq1cv9OjRQ+1yvFxwcDDs7e2xc+dORdnff/+NXbt2Yfbs2fD09ETv3r0xYMAAvPrqq/jvf/+r0fhR88BgjOgZZ2pqqtgndOHCBZXjqampyM/Ph6mpKTp37qwoLywsBAC0a9dObbsGBgawsLAAAFy8eLFOfSkvL1fMePXr10/tOfLyx9uU9//27dtK5966dQtisRjm5uYAqh4K+M9//oMpU6bA0dGxTn2qzqFDhwAA48aNa9BS58GDBzFr1iwkJSWhY8eOSjOT8j15X375JVJSUtC2bVvY2Njgxo0bCAkJwcyZM1FSUqLS5qpVq/DBBx/g2rVraNu2LaytrXHs2DFMmjSpxoCsNqtWrcLHH3+M4uJidOvWDf/88w9+/vln+Pv7K82a1sUnn3yCOXPmICYmBgDQvXt3/PPPP4iKisKECRNw/vx5jfupTlFREaZMmYLdu3fD3NwcVlZWuHPnDjZs2ICVK1cqndurVy/F93qbNm3Qr18/xR87Ozut3ceKFSvw4YcfIicnB127doWpqSnMzMzg5uaGiooKHD58WG294uJi/PbbbxCJRHjppZcU5T/++CM+/vhj/PnnnxCJRLCzs4OxsTESEhKwZMkSjfdwUjMgENEzb//+/YKdnZ3g7u4u/PLLL0Jubq5QWFgoxMbGCiNHjhTs7e2FvXv3KtXZtWuXoo46paWlgoODg2BnZyesXr26Tv24ffu2YGdnJ9jZ2Qn3799Xe87PP/8s2NnZCR4eHoqyhw8fCoMHDxb69esnnDlzRigqKhK+++47wc7OTggMDFScN2PGDMHV1VXIz8+vU39q0qdPH8HOzk44evSoRvWHDx8u2NnZCY6OjkJYWJggk8kEQRCEyspKobS0VKioqBCmTJki2NnZCQsWLBD+/vtvRd2srCxh2rRpgp2dnfD5558rtXvs2DHBzs5O6NWrl3DkyBFFeU5OjvDqq68KPXv2FOzs7IQlS5Yo1YuLixPs7OyEV199Vak8PT1dsLOzE3r06CH07NlTiI6OVhzLzc0VZs6cKdjZ2QmTJk0SKisr1d5jenq6UvmePXsEOzs7wdPTU4iLi1OUl5eXC5s2bVJ8X5WUlNR7PCMjI5XKN2zYINjZ2Qk9e/YUpk+fLty7d09x7Pjx44Kjo6NgZ2cn3LhxQ6leZGSk2nFq6H3Ix9PR0VHo06ePcOzYMcWxR48eCYIgCNHR0YKdnZ0wZcoUtdeNiooS7OzshJkzZyqVJyQkCH/88YdQXl6uVH716lXhpZdeEuzs7IT4+HiV9uT/z1HzxZkxoufA+PHjERYWBgsLC8yfPx+DBg1C//79MWfOHEgkEmzZsgWTJ09WqtO7d28AwL1795CUlKTS5rFjxxTLnwUFBXXqx+PnyZdGnyRPa/H4uUZGRli4cCGKi4sxa9YsuLi44NNPP0XLli0V+bQOHz6MP/74AwsXLlS0LZPJkJ2dXe1yX3WKiorw8OFDAFDaK6cJd3d3BAUFQSyuel5KT08PBgYGOHnyJC5cuIDevXtjzZo1ir1wQNXScGhoKFq2bIkffvhBaXbs3//+NwAgICBAKa1H69atsW7dOo37WV5ejqlTp2L06NGKMgsLC6xduxaGhoZISkpSWl6tTllZGTZu3AiRSISwsDC4uroqjolEIsybNw++vr64d+9etTNDmhCJRFi7dq3STK6np6fi4Y5Tp07Vq72G3kdFRQXmz5+v9HBJixYtFP1q2bIlLly4oDZHW3R0NAAofRYA0L9/fwwaNEhled/BwUGxLH/gwIF63Sc1DwzGiJ4DgiAgPT0d+fn5EIlE6NSpE2xtbSGRSHD9+nVEREQgPz9fqY6zszN69uwJAFi6dClu3bqlOHbx4kV89tlniq9LS0vr1I/HgyL5xv0nGRgYqG1z0qRJ2Lp1K1566SW4urpiypQpiIyMhKOjIx49eoQ1a9agV69emDRpEgRBQGhoKAYOHIgXX3wRrq6uWLduHQRBqFM/H9+D1rJlyzrVqU51T5o+vndOHqg9zsrKCr1798bDhw8Ve/L++ecfxVLzK6+8olLH0tKy2rxrdTF9+nSVsjZt2sDX1xcAcPr06VrbSExMxN9//40ePXqgR48eas+R76dKSEjQuK9PevHFF5WWgOXkv1Skp6fXqz1t3Ed1D5AYGRkpgjT5crhcbm4u4uLiYGBgoBj3xxUXFyMiIgJLlizBa6+9hmnTpuGVV17B2rVrAVQ9eENPH6a2IHoOrFixAnv37kXfvn3xn//8RzHbk5OTg+XLl+Po0aO4c+cO9u/fr/Rb99q1axEYGIibN29i1KhReOGFFyCTyZCZmQlTU1MMHz4cMTExdQ5Y5IEWUDVrZWhoqHKOPGBTd8zd3R3u7u4q5d9++y2ysrKwfv166OvrY9OmTfj2228xfPhw+Pr64tdff8XmzZthZGRUp6ceW7Vqpfi7fIZMU926dVNbnpKSAqDq6VL5TMiT5HvksrOzAQB37txBZWUlDA0N1T6MAQBdu3bVqJ8SiaTaxL/ye3hyz546f/31FwAgMzNTbcAIVM08AlV75rSluvFo3bo1gPp/jg29DwsLC8W11fHz88OBAwcQHR2N119/XVF++PBhlJeXY8SIETAxMVGqc+XKFbzxxhuK7wd16jpLTc0LgzGiZ9y1a9cQEREBiUSC0NBQpaSfbdq0wdq1azFixAikpKTg8OHDSln1u3btiv3792PLli2IiYlBZmYmTExM4Ofnh3feeQdfffUVACgtsdXk8aXJgoICWFlZqZwjf3CgumXMJ925cwfbt2/HhAkT4OzsDJlMhvDwcHTq1AmbNm2Cvr4+xo0bh5EjRyI8PBxz585VOxP1OBMTE7Rs2RIPHz5ERkYGHBwc6tQXdYyMjNSWy9NxyH/o10S+TCmfsZM/OKFOXT+LJ5mbm1f7xKj8KdbHZwyrIw9QcnNzFU/BVqeuM6p1Ud0vBPJ7quusqFxD76O2X1CGDh0KCwsLpKSk4MaNG7C1tQVQ9cAHAJW3W1RUVODdd99FdnY2PDw8MHfuXNja2sLU1BQikQhpaWnw8fFReXKUng4MxoiecefOnYMgCOjcubPa7OvGxsZwcnLCb7/9hkuXLqn8ELC0tMTy5cuxfPlylbry5TP5cmZtbGxsIJFIIJPJkJ6erjYYky8nVTdL86RPPvkEhoaGeO+99wBUPR1aWFiIMWPGKH4Q6+vrY+jQodi9ezdu3bqF7t2719pu3759cebMGSQkJDTK63LkP6zDw8MxZMiQOtWRz9jl5eVVe05OTo5G/cnPz0dlZaXagEwejDw+Y1gd+X35+fkpls6eRo19H2KxGL6+voqZ0XfffRdZWVk4f/48WrVqheHDhyudn5SUhLS0NNjY2GDjxo1Ks8wAkJWVpfU+UtPhnjGiZ1xdZjPkswb1mam4fv06bt26BUNDwzoHE2KxWLH/prqUAPJyZ2fnWtuLiYnByZMnMX/+fMXsjXw56snAQf61fOatNvKUAj///LNSUlltkS/91WVmTO6FF16Avr4+SktLq305d31TUMjJZLJq83/dvHkTAJRSn1RHPsNz/fp1jfrRVB5/04Q6TXEffn5+AP43GxYdHQ1BEDBixAjFZn+5zMxMAFW/+DwZiAHcK/a0YzBG9IyT/wC9ffu22t+ei4uLkZycrHRubQRBwJdffgmg6gdKXZcUAcDb2xtAVbLNiooKpWN3797FH3/8AQC1bkQvKyvDp59+Cjs7O0ybNk1RLp/9ezKwkH9d0xLf48aNGwcbGxvk5uZixYoViidH1REEQfGUY13J72/v3r11DoJbtWqlSMD7ww8/qBx/8OABfv3113r143G7d+9WKcvNzVW8Rmno0KG1ttG/f39YWFgovcGhOZLvSVSXxw1omvtwcXFBhw4dcOfOHSQlJSmCsiefogT+9ySmukSxMplMKTksPX0YjBE94+R7U2QyGRYsWKA0o5KTk4P33nsPeXl5MDQ0xMiRI5Xq/vnnn/jjjz+U9tvk5eVh2bJliImJQdu2bbFo0SKVa/7yyy/w9PRUu/H5lVdegYWFBW7evInPPvsMMplM0e6iRYtQXl4Od3d3lVcPPWnr1q24c+cOPvzwQ6U9YO3atYO1tTViYmIUswUpKSmIiYmBpaVlnQNOAwMDrF+/Hi1atEB0dDTmzp2r9IomoOqHYGxsLKZMmYJvvvmmTu3KeXt7o0+fPkhNTcWbb76pkqy1rKwMJ0+eVGSKl5Nn+t+5c6fSS65zc3Px3nvv1XtvlJxYLMbu3buV0jTk5+fj/fffR2lpKXr16oVBgwbV2o6hoSHmz58PAHjnnXdw9OhRlT799ddfCAkJ0en7POUb/pOTk/Ho0SOV401xH3p6ehg1ahSAqjcJXL16FRYWFmqDXmdnZ4jFYpw/f14p235RURHee++9GrP5U/PHPWNEz7hWrVrhiy++QHBwMC5cuAAfHx907NgRYrEYaWlpkMlkEIvFWLVqlUq2/UuXLuGzzz5Dq1atIJVKIQgCUlNTUV5ejnbt2mHbtm1qnxh7+PChYlnlScbGxggNDcUbb7yBXbt24eDBg7C2tkZqaioePXoEGxsbfPrppzXe0927d7F161aMHj0aAwcOVDqmp6eHoKAgLF++HJMmTUKXLl1w+/ZtlJWV4e23367xtUZPcnJyws6dO/Huu+/i9OnTOH36NNq2bYt27dpBJpMhIyNDsSz65MvKa6Ovr4+wsDC88cYb+P333+Hj44NOnTrB3Nwc//zzj+KzeXJD/ogRIzBlyhTs3bsXb7/9NqRSKczMzHDjxg0YGhpi9uzZ+Pbbb+vVF6AqiHV3d8e7776LkJAQWFhY4MaNGygpKYG5uTnWrFlT69Ke3LRp05CVlYUtW7YgKCgI5ubm6NixIyorK5GZmalIo/J47q6m1rNnT3Tu3Bm3b9/GsGHD0KVLF0gkEjg4OCj2RzbFffj5+WHbtm2IjY0FAIwcOVLtAyaWlpYIDAzE9u3bsWTJEnz11VeKX2oqKiqwfPlylTcN0NODwRjRc8DDwwM//fQTwsPDERcXh7t370IQBFhZWaF///6YMWOG2k34rq6uGD9+PBITExUb67t16wYfHx/MnDlT49cEDR48GJGRkfjmm28QFxeHv/76C+3atYO3tzfmzZtX67Kn/OXmS5YsUXt80qRJKC0txY4dO3Dr1i106NABs2bNqjZFQU2cnZ1x5MgRREVF4fjx47h27Rr++usvSCQSWFtbw8XFBePHj4eLi0u927ayssLevXuxb98+HDp0CH/99Rfu3r2Ltm3bwsnJCUOGDFF6HY7cqlWr0LNnT3z//fe4desWHj58CE9PTyxYsKBBs00rVqxA165d8eOPP+L69eto2bIlvL29sWDBAtjY2NSrrUWLFmH48OH4/vvvce7cOVy7dg2tWrVCu3bt4OXlBV9fX8V7SHVBX18fmzdvxrp16/Dnn38iKSlJZdkcaPz7cHBwgK2tLW7cuAFA9SnKxy1evBjt27fHDz/8gPT0dDx69AiDBw/GvHnzVN7bSk8XPUHTOW0iIiIiajDuGSMiIiLSIQZjRERERDrEYIyIiIhIhxiMEREREekQgzEiIiIiHWIwRkRERKRDDMaIiIiIdIhJX6nJXbx4EWVlZRrVNTExQVFRkZZ79HziWGoPx1J7OJbaw7HUnoaM5YABA2o9h8EYNbmysjKIRCKIRKJ61zUyMqrzS5WpZhxL7eFYag/HUns4ltqj6Viqe6uDOgzGSCdEIhEkEkm960kkEo3qkSqOpfZwLLWHY6k9HEvtaeyx5J4xIiIiIh1iMEZERESkQwzGiIiIiHSIwRgRERGRDjEYIyIiItIhBmNEREREOsRgjIiIiEiHGIwRERER6RCDMSIiIiIdYjBGREREpEMMxoiIiIh0iMEYERERkQ4xGCMiIiLSIbGuO0BEjSs9Q4R798Ro374cHaUVuu4OERE9gcHYcyY+Ph6BgYEICgpCcHCwrrtDWlBQqKe2vKhYD1u3meHKVQNFWQ/HMsydUwATY0Glrpmp0LgdJSIitRiMaSAjIwNeXl7VHl+3bh1Gjx5d73YLCwuxYcMGJCcnIyMjAwUFBbCwsECXLl0wffp0+Pj4QE9P/Q/exhQQEICzZ88CALZu3Qp3d3e1502YMAFXrlwBAOzduxd9+vRpsj4+K0pK6l9nzhtWasv19YFWrYCPVurBuTdwMRkI+dIAi963RGWl/Kz/1d0Vfr/e127Rov79JSIiZQzGGsDBwQEjRoxQKe/evbtG7eXl5SEyMhLOzs7w8vKCubk5cnJyEBMTg/nz52Py5MlYvXp1Q7utMbFYjMjISLXB2LVr13DlyhWIxWKUl5froHfPhoBZ7bTWVmUl8P4iPXgOqwrgPYcBggCsWKV+BkyTa/+4p/4BHBERKWMw1gCOjo5aXeqTSqVISEiAWKz8sRQXF2PKlCmIiIhAYGCgxsFeQ7344os4fvw48vLyYGFhoXRs3759EIvFGDJkCGJjY3XSP1Ll3Fv56z5OuukHERFV76kPxh7fAzV06FCEhobi0qVLMDQ0xMiRI7F06VK0aNECsbGx2LRpE65du4aWLVtiwoQJWLhwIUQika5vQaG6vhgbG8PNzQ03btxAWlqa1oKxhIQEfPXVV7h8+TIkEglefPFFvP/++2jfvr3a8/39/RETE4MDBw4gMDBQUV5WVoYDBw7Aw8MDpqamWunb80qTpcKaZrQuJlfNiMklJmn32kRE1HBPfTAmd/HiRWzduhVubm6YOnUq4uPjsWfPHhQXF8PLywtLly6Fp6cnnJ2dcfLkSWzbtg3GxsaYN2+extfMzs7G7t27UVRUBCsrKwwePLjaQKYhSktLERcXBz09Pdja2iodi4qKwrJlyzBhwgR8/vnndW4zMTERmzdvxrBhwxAQEIDLly8jOjoa586dw759+9C2bVuVOn369EG3bt0QFRWlFIwdO3YM+fn58Pf3x9GjRzW/UdJoD9a2zdlqy9etN8e6UAkEQR99nKoCsdD1lejhKMPCd/NhZmqGgsKCBl2biIga7pkJxk6dOoWvv/5asYdLJpPB398f0dHROH36NHbt2gUnp6o1muDgYPj4+OC7777D3LlzVZYF6+rMmTM4c+aM4muxWIyAgAAsXrwY+vqap3ArLCzEjh07UFlZiZycHMTGxiIrKwtBQUHo3Lmzxu0+7vTp0/j444/x8ssvK8o2btyIsLAwrFu3Dp9++qnaehMnTkRISAiuXLmCHj16AAAiIyPRtm1beHh4MBjTgeqegpw6pQjbvzPFilUSRZlTbxneCcqHqakAc3MA4BOURES69swEYwMHDlTaTC+RSODr64uUlBQMHz5cEYgBVct+w4YNQ2RkJO7duwepVFqvaxkZGSEoKAje3t6QSqUoKytDYmIi1q5di/DwcEgkEixatEjjeyksLMTGjRuV7mXx4sV47bXXVM719vaGs7MzTExM6nWNLl26YNKkSUplc+bMwffff4+DBw9i5cqVMDAwUKk3fvx4hIaGIjIyEj169EBWVhZ+//13zJo1S+OgljSnLq2FupQWHaUyTHulCN1tyyE8Vk/+X6a1ICLSnWfmp6d8luZxVlZVj+07OjqqHLO0tAQA3L9/v97BWJs2bVQ27nt6eqJ3794YM2YMwsPDMWfOHJiZmdWrXTmpVIqUlBRUVFQgKysLhw4dQmhoKC5cuID169crBT0mJib1DsQAoF+/fippMlq0aIGePXvi1KlTuH37Nuzs7FTqtW3bFu7u7oiOjsaSJUsQFRWFyspK+Pv71/9GSYm20lqoT2khQciXrR9LaSFXVb8++8W4nElEpF3PTDBmbGysUibfEK/umDyg0WYaBktLS3h4eOCnn35CcnIy3NzcGtSeSCSCVCrF66+/Dn19fYSEhCAiIgLTpk1rcF/btGmjtly+V6yoqKjauv7+/jhx4gSOHj2K/fv3K/aSUcNoK61FfVNa1PfaTGdBRKRdfDellslTPpRoMs1RA3lgJ0++2lA5OTlqyx88eAAANc62DRs2DG3btsUXX3yB9PR0zoo1Q0xpQUT09HhmZsaai6SkqtwBNjY2Wm33/v2q2QhtpeI4f/48BEFQWqosKSnB5cuX0aJFixofFBCLxRg7diy2b98OIyMjjBo1Sit9et5pM61FfVJaaHptIiLSDgZjGkhKSoKjoyMkEolSeXh4OM6fPw9bW1s4ODjUu92rV69CKpWqzErl5+cjNDQUAFSy3xcVFSE7OxsmJiaKPXJ1cevWLezbt0/pacpt27YhNzcX/v7+ajfvP2727NlwcXGBubm52mVgqj9tpbWoLaWF3OOpLbgPjIhIdxiMaSAkJASpqakYMGAArK2tUVJSgsTERFy5cgVmZmZYs2aNRu+QjIqKwr59++Dq6ooOHTrAyMgId+/excmTJ/Hw4UP4+vrCz89Pqc7Ro0c1yjPm5uaGVatW4bfffkPXrl1x+fJlnD59GtbW1li4cGGt9du2bav2VVDUtNQ9Bbno3Xx8tdEcK1b9L6B+PKWFHFNbEBE1DwzGNDB27FgcOXIEFy5cwIkTJwAAHTp0QGBgIGbPnq1x4ldfX18UFxcjMTERCQkJKCkpgZmZGVxcXDB+/HiMHj1aay8K79OnD958802sX78eO3fuhEQiwejRo/H++++rTfhKTw9TUwEf/isP6Rki3LsnRvv25egordB1t4iIqBp6giDwV2NqUgkJCTAwMFBZ5q0Lc3Nz5Ofn134i1YpjqT0cS+3hWGoPx1J7NB1LmUwGZ2fnWs/j05REREREOsRgjIiIiEiHuGcMQEZGBvbv31/reSYmJpg5c2a92g4LC6vTeTNmzICpqWm92iYiIqKnH4MxAJmZmUrvgqyOjY1NvYOxurQLABMmTGAwRkRE9BxiMAbA1dUVKSkpjdJ2Y7VLREREzzyu3P0AACAASURBVAbuGSMiIiLSIQZjRERERDrEYIyIiIhIhxiMPYeWLl0Ke3t7ZGRk6Lor1AwYFNxGq4wzMCi4reuuEBE9l7iBvxoZGRnw8vKq9vi6deswevToerdbWFiIDRs2IDk5GRkZGSgoKICFhQW6dOmC6dOnw8fHR+WVR56engCgePVSU3t8LKysrHDy5EmIRCKV81JSUjB27FgAQJcuXfDLL780aT9Jlaik+ozR+nn5kJ5YBaPsi4qyR1bOuN9/ASoNa36yt6KFudb6SET0vGMwVgsHBwe1L8Tu3r27Ru3l5eUhMjISzs7O8PLygrm5OXJychATE4P58+dj8uTJWL16dUO73SjEYjGys7Nx+vRpeHh4qBzft28fxGIxysvLddC7Z5de+SON63bdP7HaY4KePmBggkdjQlFp4wL9zHNocXQFOh1+DXpCZY3t3nj5oMZ9EsRGGtclInoWMRirhaOjI4KDg7XWnlQqRUJCAsRi5aEvLi7GlClTEBERgcDAQI2DvcbUt29fXLt2DZGRkSrBWFlZGQ4cOAB3d3edzeA9q2x/rP8MbF3oCZV45L0SFXYjAQAVdiNRKghocXBho/bp+iv8/iAietxTsWcsPj4e9vb2CAsLw/nz5xEQEIC+ffti0KBBWLlyJUpKSgAAsbGxmDp1Kvr06YMhQ4YgJCQEFRUVOu69MpFIpBKIAYCxsTHc3NwAAGlpaQCqlgft7e2RmZmJzMxM2NvbK/7UNbN/TSorK7F582Z4e3ujd+/e8PHxwbZt21BZqX5WxNDQEKNGjcKJEyeQm5urdOzEiRPIy8uDv79/g/tFTafSxkXp6wppfx31hIjo+fVUzYxdvHgRW7duhZubG6ZOnYr4+Hjs2bMHxcXF8PLywtKlS+Hp6QlnZ2ecPHkS27Ztg7GxMebNm6fxNbOzs7F7924UFRXBysoKgwcPRvv27bV4V1VKS0sRFxcHPT092NraAgBMTU0RFBSEHTt2AKh6ZZLcwIEDFX8PCAjA2bNnsXPnTri6utb5mp9++ikSExPx0ksvwdDQEL/++itCQkJw584dfPTRR2rr+Pv7Y+/evThw4IBSfyIjI9GmTRsMGzasPrdNddCQJcHaZrD0M88pZsYAQJTxZ6P3iYiIlD1VwdipU6fw9ddfK/ZwyWQy+Pv7Izo6GqdPn8auXbvg5OQEAAgODoaPjw++++47zJ07V+1sVF2cOXMGZ86cUXwtFosREBCAxYsXQ19f84nFwsJC7NixA5WVlcjJyUFsbCyysrIQFBSEzp07A6gKxoKDgxXvzdTmcikAJCcn46effkK7du0U7U+dOhV79+7F2LFj0b+/6iyJs7MzunfvjsjISEUwdv/+fZw5cwYzZszQeJypeg3ZY5U6IaraY9K4T2B4/COUCQIqpP0hyvgTBidW45GVM7KGrmi0PhERkbKn6ifnwIEDlTbTSyQS+Pr6IiUlBcOHD1cEYkDVst+wYcMQGRmJe/fuQSqV1utaRkZGCAoKgre3N6RSKcrKypCYmIi1a9ciPDwcEokEixYt0vheCgsLld5bKZFIsHjxYrz22mv1buuLL77Ao0eP0KFDh3rVCwgIUARiANCqVSu8/fbbeOedd7B//361wRgATJw4EV988QUuXbqEXr16ISoqChUVFVyibIZqeuqx0HcNWkXPh9Fje8Qetu+PrCHLUWlo1hTdIyIiPGXBWI8ePVTKrKysAFRttH+SpaUlgKqZm/oGY23atFGZifL09ETv3r0xZswYhIeHY86cOTAz0+yHllQqRUpKCioqKpCVlYVDhw4hNDQUFy5cwPr16+s1w1TfIExOXbAlL7t69Wq19caNG4d169YhMjISvXr1wv79++Hs7KxYXiXdqimdhZx+aSFML4TB4MFlRVlJa3tk9wuCniCobYPpLIiIGsdTFYwZGxurlMnzXak7Jg9otJlqwdLSEh4eHvjpp5+QnJys2HSvKZFIBKlUitdffx36+voICQlBREQEpk2bpqUeV69169YqZW3atIG+vj6Ki4urrdemTRu4u7vj4MGD8PT0RFpamkYzeqSsISksHldTOgs5TdJaaLJPjMuZRES1e6qCsebCwsICABRPcWqLm5sbQkJCcPbs2SYJxnJzc9G1a1elspycHFRWVqoNbh/n7++P48ePY/ny5WjRogXGjBnTmF19LjRWCgt1NElroUn/mMaCiKh2T0Vqi+YmKSkJAGBjY6PVdu/fvw8AKtnt9fX1GyVFx59/qj45Jy9Tt+z7OA8PD1haWuL+/fvw8fGpNXij5odpLYiImgfOjFUjKSkJjo6OkEgkSuXh4eE4f/48bG1t4eDgUO92r169CqlUChMTE6Xy/Px8hIaGAgDc3d2VjpmZmeH69esoLS2FoaGhSpt3795VbOA3Mqr7stCuXbswYcIExSb+f/75B19//TUAYPz48TXWFYvF2LRpE7Kzs9Xu5aP601a6iLrOYNU3rQXTWRARNQ4GY9UICQlBamoqBgwYAGtra5SUlCAxMRFXrlyBmZkZ1qxZo/IOybqIiorCvn374Orqqgie7t69i5MnT+Lhw4fw9fWFn5+fUp1Bgwbh0qVLePPNN+Hi4gIDAwP069dPsdl+yZIlGuUZ6927N8aNG4dRo0bBwMAAv/76KzIzMzF58mQMGDCg1vqPP71KDaet/VU1pbOQsz6zqt5pLbj/i4iocTAYq8bYsWNx5MgRXLhwQfF6nw4dOiAwMBCzZ8/WOPGrr68viouLkZiYiISEBJSUlMDMzAwuLi4YP348Ro8erRLkvfXWWygsLERMTAzi4uJQWVmJoKCgalNP1NW//vUvHD58GD/++CPu3bsHa2trvPfee9yM/5Sry1OPd91WouPZL5T2iDGtBRGRbugJgiDouhP0fElISICBgYHKEnBdmJubIz+/9tQNVDtzc3M8TEuEpCgTMhMblJl11nWXnlr8vtQejqX2cCy1R9OxlMlkcHZ2rvU8zowRPcfKzDozCCMi0jE+TUlERESkQ8/NzFhGRobiHY81MTExwcyZM+vVdlhYWJ3OmzFjBkxNTevVNhERET3bnptgLDMzU+ldkNWxsbGpdzBWl3YBYMKECQzGiIiISMlzE4y5uroiJSWlUdpurHaJiIjo2cc9Y0REREQ6xGCMiIiISIcYjBERERHpEIMxIiIiIh1iMEZERESkQwzGiIiIiHSIwRgRERGRDjEYIyIiItIhBmNEREREOsRgjIiIiEiHnpvXIVHzUlFRoVE9mUwGmUym5d48nziW2sOx1B6OpfZwLLVH07Gs6886BmPU5AwMDFBWVqZRQFZaWoqysrJG6NXzh2OpPRxL7eFYag/HUnsaeywZjFGTs7GxQWVlpUZ1LSwskJeXp+UePZ84ltrDsdQejqX2cCy1p7HHksEYNTmRSASRSKRRXYlEAolEouUePZ84ltrDsdQejqX2cCy1p7HHkhv4iYiIiHSIwRgRERGRDjEYIyIiItIhBmNEREREOsRgjIiIiEiHGIwRERER6RCDMSIiIiIdYjBGREREpEMMxoiIiIh0iMEYERERkQ4xGCMiIiLSIQZjRERERDrEYIyIiIhIh8S67gARUXNw67aAzEzAxgbo0llP190houcIg7GnhL29PQYOHIhdu3bpuitEz4y8fAEFhQLWfgkkXvxfeR9nAe8tAsxM9WBhzsCMiBrXUx+MZWRkwMvLq9rj69atw+jRo+vdbmFhITZs2IDk5GRkZGSgoKAAFhYW6NKlC6ZPnw4fHx/o6fEfaaLm7NEjocbjfuMF6OsDrVoBH63Ug3Nv4GIyEPKlgMCZQGWlgKOHVesZGfH/fSLSnqc+GJNzcHDAiBEjVMq7d++uUXt5eXmIjIyEs7MzvLy8YG5ujpycHMTExGD+/PmYPHkyVq9e3dBu19mhQ4dgZGTUZNcjehZ4v1RzMAYAlZXA+4v04DmsKsDyHAYIArBilVBtG6dPMhgjIu15ZoIxR0dHBAcHa609qVSKhIQEiMXKQ1RcXIwpU6YgIiICgYGBGgd79dWtW7cmuQ7R88i5t/LXfZx00w8iej5pNRiLj49HYGAggoKCMHToUISGhuLSpUswNDTEyJEjsXTpUrRo0QKxsbHYtGkTrl27hpYtW2LChAlYuHAhRCKRNrvTINX1xdjYGG5ubrhx4wbS0tIaHIwdOXIEu3btws2bN1FcXIzWrVvD1tYWr7zyitJMX3V7xjIyMrB27Vr8/vvvkMlk6NmzJ9555x3ExcVh48aN2LlzJ1xdXQFo9/MpKirCnj17EBsbi9u3byM/Px/m5uYYMmQIgoKC8MILLzRoXIi04ejhmmew5LNeF5OrZsTkEpPq3gYRUUM1SmqLixcvYubMmTAxMcHUqVPRoUMH7NmzBx988AEOHz6M4OBgWFtbY8qUKTAxMcG2bduwZcuWBl0zOzsbu3fvxubNm7F//37cu3dPS3ejrLS0FHFxcdDT04Otra3SsaioKNjb22Pp0qV1amv37t2YP38+bt++DW9vb8yaNQtDhgzBvXv3cOzYsVrr379/H1OnTsXhw4fRp08fBAQEwMLCAq+99houXrxYbT1tfD43b97Ehg0bYGhoCG9vbwQGBqJXr16Ijo7Gyy+/jMzMzDqNAVFjMjLSq/HPgf/qoY8zsG69gOMxAnJyqv4b+pWAPs7Agf+qr0dEpE2Nskx56tQpfP3114qZHZlMBn9/f0RHR+P06dPYtWsXnJyq1gGCg4Ph4+OD7777DnPnzlVZFqyrM2fO4MyZM4qvxWIxAgICsHjxYujrax5zFhYWYseOHaisrEROTg5iY2ORlZWFoKAgdO7cWeN2AWDfvn2QSCT4+eef0bp1a6VjeXl5tdZfu3Yt/v77byxevBizZ89WlEdFRWHZsmXV1tPG59OtWzecPn0a5ubmSm3HxcVh1qxZ+Oabb/Dxxx/XbSCIdMTCXA8frwJWfSwo9ogBQK+ewMer9GDOJymJqAk0yszYwIEDlZbYJBIJfH19IQgChg8frvhBD1Qt+w0bNgz5+fkazWYZGRkhKCgIP/30E86dO4c//vgD33zzDTp16oTw8HCEhoY26F4KCwuxceNGbNq0CXv37sWDBw+wePFiBAUFqZzr7e2NQ4cOYeHChXVuXyKRqA1ALSwsaqxXVlaGX375BW3btkVAQIDSsQkTJqBr167V1tXG52NiYqISiAHAoEGDYGtri99//73G/hM1B3n5AgQA78wHHOz/V37pMvDBCgG371TqrG9E9PxolJmxHj16qJRZWVkBqNpo/yRLS0sAVctuUqm0Xtdq06aNysZ9T09P9O7dG2PGjEF4eDjmzJkDMzOzerUrJ5VKkZKSgoqKCmRlZeHQoUMIDQ3FhQsXsH79eqVAysTEBCYmJnVue+TIkfjyyy8xZswYjB49GgMHDoSLiwtMTU1rrZuamoqysjL06tULBgYGSsf09PTQp08fpKamqq2rrc8nPj4eO3bsQFJSEvLy8lBeXq44JpFIar0HoqZSXYoLv/FV5TWltzhysOYnMrlsSUQN1SjBmLGxsUqZfPO3umPygObxH+YNZWlpCQ8PD/z0009ITk6Gm5tbg9oTiUSQSqV4/fXXoa+vj5CQEERERGDatGkatzl37lxYWFhgz549CA8Px/bt2yEWi+Hu7o5//etf6NixY7V1i4uLAUBleVOubdu21dbVxudz+PBhLFiwAC1btoSbmxtsbGxgZGQEPT097N+/n3vGqFmpLcVFTektaqvLNBdE1FDPTGoLdeRLfSUlJVpt183NDSEhITh79myDgjE9PT28/PLLePnll5GXl4dz584hOjoahw8fRlpaGg4cOFDjU50AkJubq/b4gwcPNO5XXWzcuBGGhoaIiopS2Tt38ODBRr02UWNgegsi0pVnOhhLSqp6Pt3Gxkar7d6/fx9A9ekvNGFhYYERI0ZgxIgRyMvLQ1xcHNLS0qrd+9W1a1cYGBjg8uXLKCsrU1qqFAShxqcpteHOnTvo3r27SiB2//59pKenN+q1ieqruvQUj896VZfeYtu3QKdOnP0iosbTKBv4m1JSUhJkMplKeXh4OM6fPw9bW1s4ODjUu92rV6+iqKhIpTw/P1/xUIC7u7vSsaKiIty8eRPZ2dl1usapU6dUlmZlMhkKCgoAAC1atKi2roGBAXx9ffH333+r5B7773//i5s3b9apD5rq0KED0tLSlGbgSktLsXLlSq0uNxNpQ02pLWpLb+HgoF9jegwiooZ66mfGQkJCkJqaigEDBsDa2holJSVITEzElStXYGZmhjVr1mj0DsmoqCjs27cPrq6u6NChA4yMjHD37l2cPHkSDx8+hK+vL/z8/JTqHD16FMuWLcOECRPw+eef13qNBQsWoEWLFnBxcUGHDh1QXl6O33//HTdu3MCoUaPQoUOHGusvWrQIf/zxB9asWYP4+Hg4Ojri1q1biImJwYsvvohTp041KK1HTQICArB69WqMHz8eI0eOVPRdEAQ4ODjg2rVrjXJdIm2SvwRcXXqLAf2BFR8w2CKixvfUB2Njx47FkSNHcOHCBZw4cQJA1axNYGAgZs+ejfbt22vUrq+vL4qLi5GYmIiEhASUlJTAzMwMLi4uGD9+PEaPHt3gF4UvXLgQp06dQnJyMmJiYmBkZIROnTrho48+gr+/f631ra2t8cMPP2Dt2rU4c+YMzp49i549e2L79u345ZdfcOrUKbUb8rVh+vTpEIvF+M9//oOIiAiYmprCw8MDCxcuxLvvvtso1yRqLObmeghdq4dbtwVkZgI2NkCXzgzEiKhp6AmCUPubdOmp88orryAxMRF//vknWrVqpevuKKlLQtvqWFhYNKg+/Q/HUns4ltrDsdQejqX2NGQsa8sbCjwDe8aed+r2p/388884f/48hgwZ0uwCMSIiIlL21C9TPu/8/Pzg6OgIW1tb6Ovr4+rVqzh79ixatWqFxYsX67p7REREVItmF4xlZGRg//79tZ5nYmKCmTNn1qvtsLCwOp03Y8aMOmXBbw6mTp2KEydO4NKlS3j06BEsLCwwZswYvPXWW+jWrZuuu0dERES1aHZ7xuLj4xEYGFjreTY2NooN+3Vlb29f+0kAjh8/Xu/XMlHdcc9Y88Cx1B6OpfZwLLWHY6k9jb1nrNnNjLm6uiIlJaVR2m6sdomIiIg0xQ38RERERDrEYIyIiIhIhxiMEREREekQg7GnQFRUFOzt7REVFaXrrhARUQPp5dyA6OYJ6OXc0HVXqJlodhv4n5SRkQEvL69qj69btw6jR4+ud7uFhYXYsGEDkpOTkZGRgYKCAlhYWKBLly6YPn06fHx8VF535OnpCQD1foqTiIia2MNcXfdA1aN8tDi2AuLMPxVF5Tb9UTJiFWBkrvXLCQYVwMMCzSq3bK3dzlCNmn0wJufg4IARI0aolHfv3l2j9vLy8hAZGQlnZ2d4eXnB3NwcOTk5iImJwfz58zF58mSsXr26od3WCm9vbzg7O8PKykrXXSGi54nsYZNfUigz0Mp1jb8dqoXeaJegpw8YmODRmFBU2rhAP/McWhxdgVY7/aAnVGr9euUANH07cXHwOW12pXmRtNR1D1Q8NcGYo6MjgoODtdaeVCpFQkICxGLlISguLsaUKVMQERGBwMBAjYM9bTIxMYGJiYmuu0FEzxnjMJcmv2ZDAojmTk+oxCPvlaiwGwkAqLAbiVJBQIuDC3XcM1W6+OybSvHCq7rugop67RmLj4+Hvb09wsLCcP78eQQEBKBv374YNGgQVq5ciZKSEgBAbGwspk6dij59+mDIkCEICQlBRUVFo9yApkQikUogBgDGxsZwc3MDAKSlpQGoWiq1t7dHZmYmMjMzYW9vr/hT16z+6hQVFeGrr77CqFGj0LdvX7i4uGDkyJFYtmwZsrKyFOfVtGfs119/xcSJE+Hk5IQhQ4bggw8+QEFBATw9PRXLqnJLly6Fvb090tPT8e9//xu+vr5wcnLCqFGjcPDgQQCATCbDV199BU9PT/Tu3Rt+fn44deqUynUvXbqEjz76CGPGjIGLiwucnJzg5+eHLVu2QCaTaTwmRETPskob5SCnQtpfRz2h5kSjmbGLFy9i69atcHNzw9SpUxEfH489e/aguLgYXl5eWLp0KTw9PeHs7IyTJ09i27ZtMDY2xrx58zTuaHZ2Nnbv3o2ioiJYWVlh8ODBaN++vcbtVae0tBRxcXHQ09ODra0tAMDU1BRBQUHYsWMHgKrXJckNHDhQ8feAgACcPXsWO3fuhKura43XEQQBs2fPxsWLF9GvXz+8+OKL0NfXR2ZmJo4ePYrx48fD2tq6xjb27duH5cuXw9TUFOPHj4exsTFiY2Mxa9YsyGQySCQStfU+++wzJCUlYfjw4dDX18ehQ4ewaNEimJqa4vvvv8f169fh4eGB0tJSREdHY968eTh8+DA6duyoaCMiIgIxMTEYMGAA3N3dUVJSgrNnz+LLL79EcnJyg4JUImoedLFUZW5ujvz8/Aa301xndvQzzylmxgBAlPFnDWfrzjO9TNkMaRSMnTp1Cl9//bViD5dMJoO/vz+io6Nx+vRp7Nq1C05OTgCA4OBg+Pj44LvvvsPcuXPVzkbVxZkzZ3DmzJn/dVwsRkBAABYvXgx9fc0fCi0sLMSOHTtQWVmJnJwcxMbGIisrC0FBQejcuTOAqmAsODhY8c5MbSyX/vXXX7h48SK8vb2xceNGpWNlZWW1zi4VFhbik08+QatWrRAVFaUIlBYuXIi5c+fi8uXLsLGxUVv35s2b+Pnnn9G6ddUGzYkTJ2Ly5MlYuHAhunfvjgMHDqBly6o1dTc3NyxYsAA7duzABx98oGjjjTfewIoVKyASiRRlgiBg+fLliIyMxLlz5+Di0jz/MSSiOtLB3ho9g1aApKzB7RS/eab2k5pYiwPvwPD4apQJAiqk/SHK+BMGJz5GuXQASsas1/r1zM3NkJ+v4Qb+Zriv6lmmUWQ0cOBApc30EokEvr6+SElJwfDhwxWBGFC17Dds2DBERkbi3r179X7no5GREYKCguDt7Q2pVIqysjIkJiZi7dq1CA8Ph0QiwaJFizS5DQBVQc3jwZBEIsHixYvx2muv1butL774Ao8ePUKHDh3qXMfQ0FClzMDAAAYGBjXWO378OB4+fIiZM2cqzViJxWK88847+P3336ut++abbyoCMQBwdnZGx44dkZ6ejgULFigCMQDw9fWFRCJReZWUukBPT08P06dPR2RkJP744w8GY0SkO83kaUC9nBvQz7+DSvMXUDJ2A1ocek9pj1h5pyEoGbUWMKr9/YX1vnYrC6BMVPuJpHMaBWM9evRQKZM/6efo6KhyzNLSEgBw//79egdjbdq0UZmJku9nGjNmDMLDwzFnzhyYmZnVq105qVSKlJQUVFRUICsrC4cOHUJoaCguXLiA9evX12smrz5BWLdu3WBnZ4fo6Gjcu3cPI0aMgIuLC3r27Kk021Sda9euAQD69u2rcszJyanGflf3GaWnp6scE4lEaN26Ne7fv69UXlZWhu+//x4HDx5EamoqHj58iMffOZ+dnV3rPRARaU1zS2VRQxoLvUd50C/MQKWpFELrLoAgNEr/mdri6aFRMGZsrPqsizyAUHdMHhiUl5drcjm1LC0t4eHhgZ9++gnJycmKTfeaEolEkEqleP3116Gvr4+QkBBERERg2rRpWuqxMrFYjB07dmDjxo349ddf8fnnnwOoerv7q6++innz5tUYlBUXFwOA0gyXnL6+fo1via/pM6ru2JOf3fz58xETE4POnTtj1KhRaNOmDcRiMQoLC7Fz506UlTV8mYGImogOUlhUR9PUFs0tlUVTp7FQh6ktNKCj5dmnJrWFOvKAQ/4Up7a4ubkhJCQEZ8+ebbRgDKgKpP7v//4PH374IVJTUxEXF4ddu3YhLCwMEokEb7zxRrV15UFTbq7qb1OVlZXIy8tDu3btGqXfSUlJiImJgZubG7Zs2aIUNCYmJmLnzp2Ncl0iahzNabP7s5La4mlKY6FOc/qeaEq6SnvxVL8OKSkpCYD6/UsNIV+Se3JmSl9fv1FSdOjp6aFbt26YPn06wsPDAdSe5d/BwQEAcOHCBZVjSUlJWp2FfFJ6ejoAYNiwYSpj9OefzfPJICKipsY0FlRXzX5mLCkpCY6OjippGsLDw3H+/HnY2toqApP6uHr1KqRSqUoy1fz8fISGhgIA3N3dlY6ZmZnh+vXrKC0tVbvx/u7du4oN/EZGRjVePz09HaWlpYr0GXIPHjwAoH5j/+O8vLzQsmVL/Pjjj3j11VcVm/jLy8vx1Vdf1Vi3oeR7486dO4eAgABF+fXr17Fly5ZGvTYRaV9zWpLSNLVFc5zJeVrSWKjTnL4nngfNPhgLCQlBamoqBgwYAGtra5SUlCAxMRFXrlyBmZkZ1qxZo/IOybqIiorCvn374Orqqgie7t69i5MnT+Lhw4fw9fWFn5+fUp1Bgwbh0qVLePPNN+Hi4gIDAwP069cP/ftX/bazZMmSOucZS0lJwdtvv43evXuje/fusLS0xP3793Hs2DGIRKJan+Y0NTXFsmXL8OGHH2LixIl46aWXYGJigtjYWEgkElhZWWk0LnXh5OQEJycnHD58GH///TecnZ2RlZWFEydOwMPDA0eOHGmU6xJRI2lGaQw0TW3R3FJZNHUaC3WY2uLp0eyDsbFjx+LIkSO4cOGCYumuQ4cOCAwMxOzZszVO/Orr64vi4mIkJiYiISEBJSUlMDMzg4uLC8aPH4/Ro0erBDNvvfUWCgsLERMTg7i4OFRWViIoKEgRjNVHr1698Prrr+Ps2bP47bffUFhYCEtLSwwdOhRz5sxRSg9SncmTJ8PU1BSbN2/G/v37YWJiAk9PT7z33nsYPnw4XnjhhXr3qy5EIhE2b96MtWvX4tSpU0hOTkanTp2wePFiuLu7gxLUsAAAIABJREFUMxgjoqbXzJ7+a+o0FuowtcXTQ094PB8BPRPS0tLg4+ODl156CevXN81vYPWRl5encV0LC4sG1af/4VhqD8dSe561sXw8z5jQxrb2Clr0rI2lLjVkLGvKbiDX7GfGqHoFBQUwMjJSShBbUlKCzz77DACUEvMSEVHTE9rYoqKJgzB6+jAYe4olJCRg+fLlGDp0KKytrZGXl4e4uDhkZmZi0KBBGDVqlK67SERERLVo8mAsIyND8Y7HmpiYmGDmzJn1aruuL6eeMWMGTE1N69V2c2Rra4shQ4bg/PnzinxjnTp1wjvvvIPZs2c36J2dRERE1DSaPBjLzMxUeTG2OjY2NvUOxurSLgBMmDDhmQjGOnfurEjDQURERE+nJg/GXF1dVV46rS2N1S4RERFRY+E6FhEREZEOMRgjIiIi0iEGY0REREQ6xGCMiIiISIcYjBERERHpEIMxIiIiIh1iMEZERESkQwzGiIiIiHSIwRgRERGRDvFF4dTkKioqUFlZqVFdmUwGmUym5R49nziW2sOx1B6OpfZwLLWnsceSwRg1uczMTJSVlWlUNz8/HwUFBVru0fOJY6k9HEvt4VhqD8dSexoyllZWVrWew2CMmlxZWRlEIhFEIlG96xoaGsLAwKARevX84VhqD8dSeziW2sOx1B5Nx7KioqJO5zEYI50QiUSQSCT1rieRSDSqR6o4ltrDsdQejqX2cCy1p7HHkhv4iYiIiHSIwRgRERGRDjEYIyIiItIhBmNEREREOsRgjIiIiEiHGIwRERER6RCDMSIiIiIdYjBGREREpEMMxoiIiIh0iMEYERERkQ4xGCMiIiLSIQZjRERERDrEYIyIiIhIhxiMEREREemQWNcdIKKml54hwpVr+jAxFqGjtELX3SEieq4xGNORjIwMeHl5VXt83bp1GD16dL3bLSwsxIYNG5CcnIyMjAwUFBTAwsICXbp0wfTp0+Hj4wM9Pb2GdJ2eMgWF//u8i4r1sHWbGa5cNfj/JW3Rw7EMc+cUwMRYgJmpoJtOEhE9xxiM6ZiDgwNGjBihUt69e3eN2svLy0NkZCScnZ3h5eUFc3Nz5OTkICYmBvPnz8fkyZOxevXqhnabmpmSkuqPzXnDSvF3fX2gVSvgo5V6cO4NXEwGQr40wKL3LVFZCewKv1/rtVq00EaPiYhIjsGYjjk6OiI4OFhr7UmlUiQkJEAsVv5oi4uLMWXKFERERCAwMFDjYI+ap4BZ7ep0XmUl8P4iPXgOq5ot8xwGCAKwYpVQ53Z+3FN7wEZERHXHDfwA4uPjYW9vj7CwMJw/fx4BAQHo27cvBg0ahJUrV6Lk/087xMbGYurUqejTpw+GDBmCkJAQVFQ0r/02IpFIJRADAGNjY7i5uQEA0tLSGnSNsrIy7Nq1C7Nnz4aHhwd69eqFwYMHIygoCFeuXGlQ29T4nHsrf93HSTf9ICKiKpwZe8zFixexdetWuLm5YerUqYiPj8eePXtQXFwMLy8vLF26FJ6ennB2dsbJkyexbds2GBsbY968eRpfMzs7G7t370ZRURGsrKwwePBgtG/fXot3VaW0tBRxcXHQ09ODra2t0rGoqCgsW7YMEyZMwOeff15rWwUFBfj000/Rv39/eHh4/L/27j0qquvuH/97gOFigAENJDKTBlO8YB/FBgUv1AsoqOCFmKI1BV3ealIw/alBnjRdidWkUYwYkVQf/ZaoqVkhAwaDGC9VipAoCIzgjZgYNVzEiOAwUWRg5vcHi4njoM4MB47I+7VW1pJzzuzzmW0a3t1n733g6uqKH3/8EUePHkVubi4++eQTDB3K3/Bd6WGPF+8f7Tpd1joi1kZVal47RETUORjG7nH8+HGkpKQY5nBptVrMmjULWVlZyMvLw+7duw0hIy4uDqGhofj444+xePHidkejzJGfn4/8/HzDz3Z2doiOjkZ8fDxsbKwfuFSr1di5cyd0Oh1qa2uRm5uL6upqxMbGwtvb2+p2AUAmkyEnJwfPPGP8S/7ixYuIiopCUlISUlNTO3QPsszD5nHt2Hbd8OeNm9ywMUkKvd4Gw4a2BrGkTToM9tVi+V/qOR+MiEgEDGP3CAgIMJpML5VKERYWhvLyckyYMMFotMfZ2Rnjx49Heno6rl27BoVCYdG9nJycEBsbi0mTJkGhUKCpqQkqlQobNmxAamoqpFIpVqxYYfV3UavV2LJli9F3iY+Px4IFC0yunTRpEvz8/ODi4mJW2/b29iZBDGhddBAYGIi8vDxotVpIpVKr6yfh3LtCcsVf6vHhFje8vdrecGzoEC1ej62HK1dSEhGJgmHsHoMHDzY55unZuhLN19fX5JyHhwcAoKamxuIw1qdPH5OJ+8HBwRgyZAgiIiKQmpqKRYsWQSaTWdRuG4VCgfLycrS0tKC6uhrZ2dlISkpCSUkJNm3aZDSS5+LiYnYQa3P+/Hns2LEDRUVFuHHjBrRardH5uro6Q9+RuO7f2qK52fh8czOg1khwbxTjFhdERF2HYewezs7OJsdsbW0feK4t0DTf/9utAzw8PDBu3DhkZmairKzMMOneWra2tlAoFFiyZAlsbGyQmJiItLQ0zJ071+o2i4uLMW/ePADAmDFj4O3tjV69ekEikeDIkSO4cOECmpqaOlQ3WUaorS3aPGjuGB9jEhEJj2HsMeTu7g4AhlWcQgkKCkJiYiIKCgo6FMa2bt2KpqYm7NmzB/7+/kbnVCpVR8skKwi1tcWj2uO2FkREwuPWFo+h0tLW5W1yuVzQdmtqWn+Rto32Wevq1atwc3MzCWJ37tzh1hbdALe2ICJ6vHBkTCSlpaXw9fU1meSempqK4uJi+Pj4YNCgQRa3e/78eSgUCpM5YPX19UhKSgIAjB071uhcQ0MDrl+/DhcXF7Pmecnlcly+fBkXL140bB7b0tKCdevW4ebNmxbXTB0n1NYW5rRHRETCYhgTSWJiIi5duoQRI0agb9++aGxshEqlwrlz5yCTybB+/Xqr3iGZkZEBpVKJwMBAeHl5wcnJCVVVVcjJycHt27cRFhaGadOmGX3m8OHDFu0z9sc//hF5eXmYO3cupkyZAnt7exQUFKCmpgYBAQEoKCiwuG7qGKG2tjCnPSIiEhbDmEimT5+OgwcPoqSkBEePHgUAeHl5ISYmBgsXLrR649ewsDBoNBqoVCoUFhaisbERMpkM/v7+mDlzJsLDwzv8ovAJEyZg8+bN2LZtG/bt2wdHR0eMHDkSKSkpSElJ6VDbJDxubUFE9HiT6PV6/heYulRhYSHs7e2t2ofMzc0N9fX1j76QHurHCls0aGRwcb6F5xSP1yu9uiP+eykc9qVw2JfCsbYvtVot/Pz8HnkdR8aIeqDnFC1wc9Ohvp5BjIhIbFxNSURERCQijowJpKKiAnv37n3kdS4uLpg/f75FbScnJ5t13bx58+Dq6mpR20RERCQuhjGBVFZWGr0L8kHkcrnFYcycdgEgMjKSYYyIiKibYRgTSGBgIMrLyzul7c5ql4iIiMTHOWNEREREImIYIyIiIhIRwxgRERGRiBjGiIiIiETECfxEPZz9rcuQNlRC6yJHk8xb7HKIiHochrFOVFFRgZCQkAee37hxI8LDwy1uV61WY/PmzSgrK0NFRQVu3boFd3d39OvXD6+88gpCQ0NN3j8ZHBwMAIb3YFLPZNv4y+s8bOrqoTi6Gk7XTxuO3fH0Q83w/w86B1e0OLqJUSIRUY/DMNYFBg0ahIkTJ5oc79+/v1Xt1dXVIT09HX5+fggJCYGbmxtqa2tx7NgxLFu2DFFRUVizZk1Hy6ZuSNJ856HnX9j7kuHPeokNYO+COxFJ0Mn9YVNZBMfDb+P5Awsg0evw3e/3P/J+ejunDtdMRNTTMYx1AV9fX8TFxQnWnkKhQGFhIezsjP/6NBoNZs+ejbS0NMTExFgd9qj78vnc/JFWiV6HO5PeQcuAyQCAlgGTcVevh+P+5Wa3dfEPHGklIuqoHjOB/+TJkxg4cCCSk5NRXFyM6Oho/Pa3v8XIkSPxzjvvoLGxEQCQm5uLOXPmYNiwYRg9ejQSExPR0vJ4vUzZ1tbWJIgBgLOzM4KCggAAV65cAdD6qHTgwIGorKxEZWUlBg4caPjH3NcsteeHH37A+vXrERkZicDAQAwZMgRhYWHYsGEDfv75Z6vbpa6lk/sb/dyiGC5SJUREPVePGxk7ffo0tm/fjqCgIMyZMwcnT57Ep59+Co1Gg5CQECQkJCA4OBh+fn7IycnBjh074OzsjFdffdXqe16/fh179uxBQ0MDPD09MWrUKDz77LMCfqtWd+/exYkTJyCRSODj4wMAcHV1RWxsLHbu3Amg9f2VbQICAgx/jo6ORkFBAXbt2oXAwMBH3uvw4cNIT09HYGAgAgICoNPpDH1bWFiITz75BFKpVOBvSI/yqEeL94922VQWGUbGAMC24pTZbRERkTB6XBg7fvw4UlJSDHO4tFotZs2ahaysLOTl5WH37t0YOnQoACAuLg6hoaH4+OOPsXjx4nZHo8yRn5+P/Px8w892dnaIjo5GfHw8bGysH5xUq9XYuXMndDodamtrkZubi+rqasTGxsLb2xtAaxiLi4szvMRcqMelM2bMwPz582Fvb290fMuWLUhOTsaBAwcwffp0Qe5F5nvUHK5LkRmGPytOvAuH//wdTXo9WhTDYVtxCvZH1+COpx+qx7zN+WBERF2kx4WxgIAAo8n0UqkUYWFhKC8vx4QJEwxBDGh97Dd+/Hikp6fj2rVrUCgUFt3LyckJsbGxmDRpEhQKBZqamqBSqbBhwwakpqZCKpVixYoVVn8XtVpt9BJxqVSK+Ph4LFiwwOK21q1bhzt37sDLy8us65955pl2j//xj39EcnIyvvnmG4axx5xmZBxk2csMc8QAoMXBFT8NXcSVlEREXajHhbHBgwebHPP09ATQOtH+fh4eHgCAmpoai8NYnz59TEaigoODMWTIEERERCA1NRWLFi2CTCazqN02CoUC5eXlaGlpQXV1NbKzs5GUlISSkhJs2rTJopE8c0NYG71ej/T0dOzduxcXL15EQ0MDdDqd4fz169ctao+E87AVle2tpmwctwpwlAGNt+Bw4p947j+v4/uXvzTrXhw9IyLquB4XxpydnU2O2draPvBcW6Bpbm4WrAYPDw+MGzcOmZmZKCsrM0y6t5atrS0UCgWWLFkCGxsbJCYmIi0tDXPnzhWoYlNr167FJ598gr59+yI4OBgeHh6GR5ZbtmxBU1NTp92bHs7cFZX3r6YEADg/A8f9y81ug6spiYg6rseFsceFu7s7ABhWcQolKCgIiYmJKCgo6LQwVltbi3//+98YOHAgPvvsMzg5/TI68tNPPxk9OqXHG1dTEhGJj2FMJKWlpQAAuVwuaLs1NTUAfhnta2NjYwOtVivIPX788Ufo9XqMHj3aKIgBwKlTpx7wKeoqD1sFae5qyith/4TW9VedUyARERlhGOtEpaWl8PX1NdniITU1FcXFxfDx8cGgQYMsbvf8+fNQKBRwcXExOl5fX4+kpCQAwNixY43OyWQyXLx4EXfv3oWDg4NJm1VVVYYJ/PcHrPu1zS8rKSmBTqczrAi9du0aPvjgA4u/DwnrYfO4zF1N2dR7YFeUSkREYBjrVImJibh06RJGjBiBvn37orGxESqVCufOnYNMJsP69etN3iFpjoyMDCiVSgQGBhrCU1VVFXJycnD79m2EhYVh2rRpRp8ZOXIkzpw5g6VLl8Lf3x/29vZ48cUXMXx462OpVatWmb3PmKenJ8LCwnDw4EHMmjULI0eORG1tLXJycjBy5Ej8+OOPFn8n6hr3rpJUh61Hr69Wodc9qylvPzsc1aP/KkZpREQ9FsNYJ5o+fToOHjyIkpISwwu6vby8EBMTg4ULF1q98WtYWBg0Gg1UKhUKCwvR2NgImUwGf39/zJw5E+Hh4SYh77XXXoNarcaxY8dw4sQJ6HQ6xMbGGsKYpf7xj39ALpfj4MGD+OSTT+Dl5YX58+dj8eLFOHjwoFVtUtfSO7mjcsJ62N+6DGlDJbQucjTJvMUui4iox5Ho9Xq92EVQz1JYWAh7e3urduh3c3NDfX19J1TV87AvhcO+FA77UjjsS+FY25darRZ+fn6PvK7HvJuSiIiI6HHEMEZEREQkIs4Zs0BFRYXhHY8P4+Ligvnz51vUdnJyslnXzZs3D66urha1TURERI8vhjELVFZWmrWhqVwutziMmbtRamRkJMMYERHRE4RhzAKBgYEoLy/vlLY7q10iIiJ6vHHOGBEREZGIGMaIiIiIRMQwRkRERCQihjEiIiIiETGMEREREYmIYYyIiIhIRAxjRERERCJiGCMiIiISEcMYERERkYi4Az+JoqWlxarPabVaaLVagavpmdiXwmFfCod9KRz2pXCs7Utzf9cxjFGXs7e3R1NTk1WB7O7du2hqauqEqnoe9qVw2JfCYV8Kh30pnM7uS4Yx6nJyuRw6nc6qz7q7u6Ourk7ginom9qVw2JfCYV8Kh30pnM7uS4Yx6nK2trawtbW16rNSqRRSqVTginom9qVw2JfCYV8Kh30pnM7uS07gJyIiIhIRwxgRERGRiBjGiIiIiETEMEZEREQkIoYxIiIiIhExjBERERGJiGGMiIiISEQMY0REREQiYhgjIiIiEhHDGBEREZGIGMaIiIiIRMQwRkRERCQihjEiIiIiETGMEREREYnITuwCiLqbHy7rUVkJyOVAP2+J2OUQEVE3xzDWw508eRIxMTGIjY1FXFyc2OU8Furq9e0ev6XWY8MHgOr0L8eG+emxcgUgczUOZe5uDGlERGQehjEBVFRUICQk5IHnN27ciPDwcIvbVavV2Lx5M8rKylBRUYFbt27B3d0d/fr1wyuvvILQ0FBIJOL+0v/mm28wf/58AMDWrVsxYcIEUeu515077YeqR5k2s/3P2dgATz0F/P0dCfyGAKfLgMQP9IiZD+h0xp85fMCqWwMAnJwY5IiIehKGMQENGjQIEydONDnev39/q9qrq6tDeno6/Pz8EBISAjc3N9TW1uLYsWNYtmwZoqKisGbNmo6W3SHp6ekAAIlEAqVS+ViFsUlTrAtjD6LTAW+skCB4fGtYCh4P6PXA26tN79ORe+flMIwREfUkDGMC8vX1FfRRn0KhQGFhIezsjP+aNBoNZs+ejbS0NMTExFgd9jpKrVbj8OHDGDp0KBwcHJCTk4MbN27g6aefFqWeruA3xPjnYUPFqYOIiJ4cT1wYu3cO1JgxY5CUlIQzZ87AwcEBkydPRkJCAhwdHZGbm4uPPvoIFy5cQK9evRAZGYnly5fD1tZW7K9g8KBanJ2dERQUhO+++w5XrlwRLIwVFhbiww8/xNmzZyGVSvG73/0Ob7zxBp599tl2r//yyy/R2NiIGTNmwMHBAYWFhfjiiy+waNEiQerpqMMHrBthetio1umy1hGxNqpSYe9NREQ9zxMXxtqcPn0a27dvR1BQEObMmYOTJ0/i008/hUajQUhICBISEhAcHAw/Pz/k5ORgx44dcHZ2xquvvmr1Pa9fv449e/agoaEBnp6eGDVq1AODTEfcvXsXJ06cgEQigY+Pj9G5jIwM/O///i8iIyPx/vvvm92mSqXCtm3bMH78eERHR+Ps2bPIyspCUVERlEplu6Nd6enpkEqlmDp1Kuzt7bF27VoolcrHJoxZO/fqyy/aP/63t/XYuEkPvb51RExVCiR9qMcwP2DNauN7cd4XERGZ64kNY8ePH0dKSophDpdWq8WsWbOQlZWFvLw87N69G0OHtj5jiouLQ2hoKD7++GMsXrzY5LGgufLz85Gfn2/42c7ODtHR0YiPj4eNjfVbuqnVauzcuRM6nQ61tbXIzc1FdXU1YmNj4e3tbXW798rLy8PatWvx+9//3nBsy5YtSE5OxsaNG/Hee+8ZXX/+/HmcPXsWwcHB6N27NwBg4sSJhgDn7+8vSF1ieNBKyLWrgYS/6o3miI0YDrz9lgRuXD1JRERWemLDWEBAgNFkeqlUirCwMJSXl2PChAmGIAa0PvYbP3480tPTce3aNSgUCovu5eTkhNjYWEyaNAkKhQJNTU1QqVTYsGEDUlNTIZVKsWLFCqu/i1qtxpYtW4y+S3x8PBYsWGBy7aRJk+Dn5wcXFxeL7tGvXz+8/PLLRscWLVqEf//739i/fz/eeecd2NvbG84plUoAwIwZMwzHZsyYgaysLCiVym4dxtrb2qJtW4szZ385Nmgg8PoyQN/OZ7i1BRERmeuJDWODBw82Oebp6QmgdaL9/Tw8PAAANTU1FoexPn36mEzcDw4OxpAhQxAREYHU1FQsWrQIMpnMonbbKBQKlJeXo6WlBdXV1cjOzkZSUhJKSkqwadMmo5E8FxcXi4MYALz44osm22Q4OjriN7/5DY4fP47Lly9jwIABAICmpiZ8+eWXcHV1RXBwsOH6MWPGwMPDA1999RXeeustPPXUU1Z9XyFYu60F0P7WFpZsawFYtrUFH2kSEfVsT2wYc3Z2NjnWNiG+vXNtgaa5uVmwGjw8PDBu3DhkZmairKwMQUFBHWrP1tYWCoUCS5YsgY2NDRITE5GWloa5c+d2uNY+ffq0e7xtrlhDQ4Ph2OHDh3Hr1i1ERUUZjZbZ2tpi2rRp+Ne//oXs7GyjR55dTcxtLSy9P7eyICLq2fhuyk7m7u4OAGhsbBS03bZgV1BQIEh7tbW17R6/ceMGABiNtrU9okxLS8PAgQON/vnXv/4F4Jf9x54k3NaCiIg6wxM7Mva4KC1t3ftALpcL2m5NTQ2AB29/Yani4mLo9XqjR5WNjY04e/YsHB0dDQsFKioq8M033+Dpp5/G+PHj223r66+/RklJCb7//nv8+te/FqQ+S3Vka4kHjWqZu61FR+9PREQ9C8OYAEpLS+Hr6wupVGp0PDU1FcXFxfDx8cGgQYMsbvf8+fNQKBQmc8Dq6+uRlJQEABg7dqzRuYaGBly/fh0uLi6GOXLm+OGHH6BUKo0eLe7YsQM3b97ErFmzDI8jMzIyoNfrMWfOnAducLtr1y68++67UCqVWLVqldk1CKkj87Da29rCkm0tOnp/IiLqWRjGBJCYmIhLly5hxIgR6Nu3LxobG6FSqXDu3DnIZDKsX7/eqndIZmRkQKlUIjAwEF5eXnByckJVVRVycnJw+/ZthIWFYdq0aUafOXz4sFX7jAUFBWH16tX473//ixdeeAFnz55FXl4e+vbti+XLlwMAdDod9u7dC4lEgsjIyAe2NW3aNKxfvx6ZmZlYvny5SUh93LW3EnLtamD1Wm5rQUREwmMYE8D06dNx8OBBlJSU4OjRowAALy8vxMTEYOHChVZv/BoWFgaNRgOVSoXCwkI0NjZCJpPB398fM2fORHh4uGAvCh82bBiWLl2KTZs2YdeuXZBKpQgPD8cbb7xhmMSfn5+PqqoqjBo16qErTt3d3REcHIyDBw/i2LFjCA0NFaRGMbm5SZC0QYIfLutRWQnI5UA/b4YwIiLqOIlerxd22RnRI9TV1Vn9WXd39w59nn7BvhQO+1I47EvhsC+F05G+bFvI9zBcTUlEREQkIoYxIiIiIhFxzlg7KioqsHfv3kde5+Ligvnz51vUdnJyslnXzZs3D66urha1TURERN0Pw1g7Kisrjd4F+SByudziMGZOuwAQGRnJMEZERNQDMIy1IzAwEOXl5Z3Sdme1S0RERN0T54wRERERiYhhjIiIiEhEfExJdB9J7Xewqb8KnduvoO/jI3Y5RET0hGMY6+ESEhKwd+9e/Oc//3norvpPpNs3jX++Uw/HI2/DrvKU4VCzfDgaJ64GnNx+ua5X7y4qkIiIegKGMTNUVFQgJCTkgec3btyI8PBwi9tVq9XYvHkzysrKUFFRgVu3bsHd3R39+vXDK6+8gtDQUJPXHQUHBwOA4bVLYouPj0dmZiaefvpp/Pe//4WdnQj/SmlvW/Ux561jjH7WS2wAexfciUiCTu4Pm8oiOB5+G0/tmgaJXme4ThNXZN4NpL2sqouIiHoWhjELDBo0CBMnTjQ53r9/f6vaq6urQ3p6Ovz8/BASEgI3NzfU1tbi2LFjWLZsGaKiorBmzZqOlt1pNBoNDh06BIlEghs3biAnJ6fd/ulszsn+grQj0etwZ9I7aBkwGQDQMmAy7ur1cNy/3Kr7aZafF6QuIiJ6sjGMWcDX1xdxcXGCtadQKFBYWGgymqTRaDB79mykpaUhJibG6rDX2bKysnDnzh0sWLAAqampUCqVooQxIenkxkGrRTFcpEqIiKin6HZh7OTJk4iJiUFsbCzGjBmDpKQknDlzBg4ODpg8eTISEhLg6OiI3NxcfPTRR7hw4QJ69eqFyMhILF++HLa2tmJ/BYMH1eLs7IygoCB89913uHLlCvr372/yqHTgwIGGP8fGxnY4JOp0Omzbtg1KpRLXrl1D3759ERUVhQULFsDGpv1Ft0qlElKpFH/6059w+vRp5Obm4vr16/D09OxQLZYy+7Hhfdob4bKpLDKMjAGAbcUpk2usvR8REVF7ul0Ya3P69Gls374dQUFBmDNnDk6ePIlPP/0UGo0GISEhSEhIQHBwMPz8/JCTk4MdO3bA2dkZr776qtX3vH79Ovbs2YOGhgZ4enpi1KhRePbZZwX8Vq3u3r2LEydOQCKRwMendTWfq6srYmNjsXPnTgCtr0tqExAQYPhzdHQ0CgoKsGvXLgQGBpp9z/feew8qlQpTpkyBg4MDDh06hMTERFy9ehV///vfTa4vLy9HWVkZJk2aBDc3N8ycORNFRUX44osvsGTJEmu/unWsnJulWZpv9LPjl6/D4T9r0KTXo0UxHLYVp2B/dC2aFSPQGLGpw/cjIiJqT7cNY8ePH0dKSorhsZhWq8WsWbOQlZWFvLw87N69G0OHDgUAxMXFITQ0FB9//DF3lGZSAAANMklEQVQWL15s9STz/Px85Of/8gvczs4O0dHRiI+Pf+DokTnUajV27twJnU6H2tpa5Obmorq6GrGxsfD29gbQGsbi4uIM78wU8nEpAJSVlSEzMxPPPPOMof05c+bgs88+w/Tp0zF8uPHjOqVSCQCYMWMGAGDKlClYu3Yt0tPTuz6MWeu+VZF3g/4Cx6PvGs0Ra35+NBqnbgCc3Lu6OiIi6iG6bRgLCAgwmp8klUoRFhaG8vJyTJgwwRDEgNbHfuPHj0d6ejquXbtm8RYOTk5OiI2NxaRJk6BQKNDU1ASVSoUNGzYgNTUVUqkUK1assPq7qNVqo3dWSqVSxMfHY8GCBRa3tW7dOty5cwdeXl4WfS46OtoQxADgqaeewp///Ge8/vrr2Lt3r1EYa2pqwr59+yCTyTBu3DgArS9NDwkJQXZ2NgoLCzFixAiLa+8yZmxp0dLbB42/WwF936GAXm/8GW5tQUREAuq2YWzw4MEmx9rmKvn6+pqc8/DwAADU1NRYHMb69OljMhIVHByMIUOGICIiAqmpqVi0aBFkMplF7bZRKBQoLy9HS0sLqqurkZ2djaSkJJSUlGDTpk0WjeRZGsLa3D/yde+x8+eNVwUeOXIE9fX1mDNnDuzt7Q3HZ86ciezsbKSnp4sXxszY5sLcLS167fuz0ZYWbbi1BRERCanbhjFnZ2eTY20T4ts71xZompubBavBw8MD48aNQ2ZmJsrKyhAUFNSh9mxtbaFQKLBkyRLY2NggMTERaWlpmDt3rkAVP1jv3qajPX369IGNjQ00Go3R8fT0dAC/PKJsExQUBA8PD3z11Vd466232v176GzWbHNh7pYWlt6DW1sQEZE5+G7KDnJ3b51L1NjYKGi7bcGuoKBA0HYf5ObNmybHamtrodPpjEJVdXU1vv76awDAH/7wBwwcONDwz+DBg/HTTz/hzp072L9/f5fULRRuaUFERGLptiNjj4vS0lIAgFwuF7TdmpoaAKbbX9jY2ECr1Qp6LwA4deqUyaPKU6da51Dd+9g3PT0dOp0O/v7+6Nevn0k7Wq0WmZmZUCqVmD17tuB1Poo5jxCt3dLCknsQERGZi2HMDKWlpfD19YVUKjU6npqaiuLiYvj4+GDQoEEWt3v+/HkoFAq4uLgYHa+vr0dSUhIAYOzYsUbnZDIZLl68iLt378LBwcGkzaqqKsMEficnJ7Nr2b17NyIjIw2T+H/++WekpKQAaJ0LBgB6vR4ZGRmQSCRYt24dnnvuuXbbunjxIkpLS/Htt99iwIABZtcgCDPmaVm9pYUF9yAiIjIXw5gZEhMTcenSJYwYMQJ9+/ZFY2MjVCoVzp07B5lMhvXr15u8Q9IcGRkZUCqVCAwMNISnqqoq5OTk4Pbt2wgLC8O0adOMPjNy5EicOXMGS5cuhb+/P+zt7fHiiy8aRrVWrVpl1T5jQ4YMwYwZMzB16lTY29vj0KFDqKysRFRUlGEy/jfffIPKykoEBgY+MIgBwEsvvYRz585BqVTizTfftLhfOt19qyEbp2+GY/ZKbmlBRESiYBgzw/Tp03Hw4EGUlJQYXtDt5eWFmJgYLFy40OqNX8PCwqDRaKBSqVBYWIjGxkbIZDL4+/tj5syZCA8PNwl5r732GtRqNY4dO4YTJ05Ap9MhNja23dWQlnjzzTdx4MABfP7554Yd+FeuXGm0vUbb3mKzZs16aFsRERFYt24d9u3bh5UrVxqtuHwsObmjcdb/g6T2O9jUX4XO7VfQ9/ERuyoiIuohJHq9Xi92EdSz1NXVWf1Zd3f3Dn2efsG+FA77UjjsS+GwL4XTkb5sW+j3MFxNSURERCQihjEiIiIiEfXIOWMVFRWGdzw+jIuLC+bPn29R28nJyWZdN2/ePLi6ulrUNhERET15emQYq6ysNHoX5IPI5XKLw5g57QJAZGQkwxgRERH1zDAWGBiI8vLyTmm7s9olIiKiJxPnjBERERGJiGGMiIiISEQMY0REREQiYhgjIiIiEhHDGBEREZGIGMaIiIiIRMQwRkRERCQihjEiIiIiETGMEREREYmIYYyIiIhIRBK9Xq8XuwgiIiKinoojY0REREQiYhgjIiIiEhHDGBEREZGIGMaIiIiIRMQwRkRERCQihjEiIiIiEdmJXQCRtQoLC3H06FGcOXMG586dg0ajQWRkJN5//32xS3uslZaWIjk5GSqVClqtFj4+Ppg3bx6mTZsmdmndRmZmJoqKinDmzBl8++230Gq1+Mc//oGXXnpJ7NK6nZqaGhw4cAC5ubm4dOkSbty4AZlMhhdffBGLFi2Cn5+f2CV2G2q1Gps3b0ZZWRkqKipw69YtuLu7o1+/fnjllVcQGhoKiUQidpnd0vbt27FhwwYAwGeffYZhw4YJ2j7DGHVb6enp2Lt3L5ycnNC3b19oNBqxS3rsnTx5EgsXLoRUKkV4eDhcXFxw6NAhrFy5EpWVlVi6dKnYJXYLH374ISorK+Hu7g5PT09UVlaKXVK3tXv3bmzfvh2/+tWvMHr0aPTp0wdXrlzBkSNHcOTIEXzwwQeYOnWq2GV2C3V1dUhPT4efnx9CQkLg5uaG2tpaHDt2DMuWLUNUVBTWrFkjdpndzvfff4/NmzejV69euH37dqfcg5u+UrdVVlYGR0dHvPDCCygrK8Ps2bM5MvYQzc3NmDJlCq5du4bPPvsMgwcPBgBoNBrMmTMHP/zwA/bv3w9vb29xC+0Gvv76azz//POQy+X4v//7P3zwwQccGbPSoUOH0Lt3bwwfPtzo+KlTpzB//nw89dRTOH78OOzt7UWqsPtoaWmBXq+HnZ3xOItGo8Hs2bPx3XffISsrC/379xepwu6npaUFs2fPhkQigbe3N/bt29cpI2OcM0bd1pAhQ9C/f3/Y2tqKXUq3cOLECVy9ehURERGGIAYAzs7OeO2119Dc3IyMjAwRK+w+Ro8eDblcLnYZT4TQ0FCTIAYAw4cPR2BgIOrr61FeXi5CZd2Pra2tSRADWv83HhQUBAC4cuVKV5fVrW3fvh0XLlzAe++916m/axjGiHqIgoICADD8R/leY8aMMbqG6HHQFizaCxhkvrt37+LEiROQSCTw8fERu5xu49tvv8WWLVvw6quvdvpoIv8NJ+ohLl++DAB4/vnnTc7JZDK4u7vz/zXTY6Oqqgpff/01PDw8MGDAALHL6VbUajV27twJnU6H2tpa5Obmorq6GrGxsZyGYKbm5mYkJCTg17/+NZYsWdLp92MYI+oh2hY4uLi4tHve2dkZ165d68qSiNql1WoRHx+PpqYmrFy5klMRLKRWq7FlyxbDz1KpFPHx8ViwYIGIVXUvW7duRXl5OdLS0iCVSjv9fgxjJKq2OSHm2rVrFwIDAzuxIiISk06nw5tvvonCwkJERUVh5syZYpfU7SgUCpSXl6OlpQXV1dXIzs5GUlISSkpKsGnTJj72fYQLFy5g69atWLBgAX7zm990yT35N0KiioiIwM8//2z29U8//XQnVvNkc3Z2BgA0NDS0e16j0Txw1IyoK+j1erz11lvYt28fpk+fjtWrV4tdUrdma2sLhUKBJUuWwMbGBomJiUhLS8PcuXPFLu2xtmrVKjz33HOIi4vrsnsyjJGo/va3v4ldQo/RNlfkypUr+J//+R+jc7du3UJdXR1++9vfilAZUeuI2F//+ldkZGQgIiIC77//PmxsuMZMKEFBQUhMTERBQQHD2CNcuHABQOuK/fbMnj0bAJCSkoKJEycKck+GMaIeYsSIEdi2bRvy8vIQHh5udC4/Px8AEBAQIEZp1MPdG8SmTp2K9evXc56YwGpqagCA/WqGl19+ud3jp06dwuXLlxEcHIzevXsLur0NwxhRDzFq1Cg899xzyMrKQkxMDHx9fQG0Pp786KOPYGdnh8jISJGrpJ7m3iA2efJkJCYmMjBY6fz581AoFCbTDerr65GUlAQAGDt2rBildSvvvvtuu8cTEhJw+fJl/OlPf+LrkIjanDp1CkqlEgBw8+ZNAEBRURESEhIAAC+88EKXLEnuLuzs7LB27VosWrQIc+fORUREBJydnXHo0CFUVFTgL3/5C/r16yd2md3C559/jqKiIgCtexG1HWvbp23ixImCPb540qWkpCAjIwO9evWCt7c3/vnPf5pcM3HiRMP/eaAHy8jIgFKpRGBgILy8vODk5ISqqirk5OTg9u3bCAsL4ztoH1MMY9RtXb16FXv37jU5dvXqVQCtj9wYxoyNHDkSe/bswebNm3HgwAHDi8Jff/11TJ8+Xezyuo2ioiKTf/eKi4tRXFwMAJDL5QxjZmp7r+ft27exdevWdq+Ry+UMY2YICwuDRqOBSqVCYWEhGhsbIZPJ4O/vj5kzZyI8PJwvCn9M8d2URERERCLiUhUiIiIiETGMEREREYmIYYyIiIhIRAxjRERERCJiGCMiIiISEcMYERERkYgYxoiIiIhExDBGREREJCKGMSIiIiIRMYwRERERiYhhjIiIiEhEDGNEREREIvr/AQdR8WPj8XNqAAAAAElFTkSuQmCC\n", "text/plain": [ - " mean sd hpd_3% hpd_97% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "a -0.045 0.019 -0.081 -0.009 0.001 0.000 830.0 806.0 \n", - "bM 0.938 0.028 0.882 0.988 0.001 0.001 719.0 719.0 \n", - "bL 0.116 0.030 0.063 0.172 0.001 0.001 727.0 700.0 \n", - "sigma 0.196 0.014 0.173 0.226 0.000 0.000 814.0 810.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "a 827.0 640.0 1.00 \n", - "bM 707.0 593.0 1.00 \n", - "bL 729.0 696.0 1.01 \n", - "sigma 818.0 789.0 1.00 " + "
" ] }, - "execution_count": 60, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "with pm.Model() as m_7_11:\n", - " a = pm.Normal('a', 0, 0.1)\n", - " bM = pm.Normal('bM', 0, 0.5)\n", - " bL = pm.Normal('bL', 0, 0.5)\n", - "\n", - " mu = a + bM * d2.log_M + bL * d2.log_L\n", - " sigma = pm.Exponential('sigma', 1)\n", - "\n", - " log_L = pm.Normal('log_L', mu, sigma, observed=d2.log_B)\n", - "\n", - " m_7_11_trace = pm.sample(tune=1000)\n", - "\n", - "az.summary(m_7_11_trace)" + "az.plot_forest([m_5_3_trace, m_5_3t_trace], model_names=['m_5_3', 'm_5_3t'], figsize=[6, 3.5])" ] } ], From d5f4065f07e07a823021fb904320fa2c4a61c1ec Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 18 May 2020 21:21:59 +0100 Subject: [PATCH 07/15] hacky solution to pairwise dse comparison --- Rethinking_2/Chp_07.ipynb | 486 ++++++++++++++++++++++++-------------- 1 file changed, 307 insertions(+), 179 deletions(-) diff --git a/Rethinking_2/Chp_07.ipynb b/Rethinking_2/Chp_07.ipynb index a330315..5ecb128 100644 --- a/Rethinking_2/Chp_07.ipynb +++ b/Rethinking_2/Chp_07.ipynb @@ -15,15 +15,14 @@ "source": [ "import arviz as az\n", "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", "import numpy as np\n", "import pandas as pd\n", "import pymc3 as pm\n", - "from scipy import stats\n", - "from scipy.special import logsumexp\n", "import statsmodels.api as sm\n", "import statsmodels.formula.api as smf \n", - "from patsy import dmatrix" + "from patsy import dmatrix\n", + "from scipy import stats\n", + "from scipy.special import logsumexp" ] }, { @@ -250,7 +249,7 @@ " Date: Mon, 18 May 2020 Prob (F-statistic): 0.0798 \n", "\n", "\n", - " Time: 17:18:10 Log-Likelihood: 2.9925\n", + " Time: 21:09:06 Log-Likelihood: 2.9925\n", "\n", "\n", " No. Observations: 7 AIC: -1.985\n", @@ -300,7 +299,7 @@ "Model: OLS Adj. R-squared: 0.388\n", "Method: Least Squares F-statistic: 4.807\n", "Date: Mon, 18 May 2020 Prob (F-statistic): 0.0798\n", - "Time: 17:18:10 Log-Likelihood: 2.9925\n", + "Time: 21:09:06 Log-Likelihood: 2.9925\n", "No. Observations: 7 AIC: -1.985\n", "Df Residuals: 5 BIC: -2.093\n", "Df Model: 1 \n", @@ -537,7 +536,7 @@ " Date: Mon, 18 May 2020 Prob (F-statistic): 0.215 \n", "\n", "\n", - " Time: 17:18:10 Log-Likelihood: 3.3223\n", + " Time: 21:09:07 Log-Likelihood: 3.3223\n", "\n", "\n", " No. Observations: 7 AIC: -0.6445\n", @@ -590,7 +589,7 @@ "Model: OLS Adj. R-squared: 0.304\n", "Method: Least Squares F-statistic: 2.310\n", "Date: Mon, 18 May 2020 Prob (F-statistic): 0.215\n", - "Time: 17:18:10 Log-Likelihood: 3.3223\n", + "Time: 21:09:07 Log-Likelihood: 3.3223\n", "No. Observations: 7 AIC: -0.6445\n", "Df Residuals: 4 BIC: -0.8068\n", "Df Model: 2 \n", @@ -921,7 +920,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -951,7 +950,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -960,7 +959,7 @@ "array([ 2.54799078, 2.3115561 , 2.89843278, 3.53621752, 11.04367575])" ] }, - "execution_count": 22, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -985,7 +984,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -1033,7 +1032,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1051,52 +1050,54 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 934.78draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 970.06draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 847.28draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1216.53draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1036.11draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1203.81draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 967.79draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1152.50draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1166.93draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1077.54draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1166.62draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1143.93draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1154.64draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1110.18draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1073.19draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1034.50draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1056.39draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1194.44draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 961.44draws/s] \n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1125.82draws/s]\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n" ] }, { @@ -1110,56 +1111,56 @@ "name": "stderr", "output_type": "stream", "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 950.36draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.68draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 849.16draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1010.13draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1143.96draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1121.75draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1078.80draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1165.65draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1041.81draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 791.16draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 881.10draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1070.84draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 859.46draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 694.49draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 982.47draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 748.04draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1164.35draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1212.82draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 721.99draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 992.05draws/s] \n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n" ] }, { @@ -1173,56 +1174,54 @@ "name": "stderr", "output_type": "stream", "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 990.68draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1158.13draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1039.33draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1109.76draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1076.53draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1106.08draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1051.89draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 964.92draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1088.68draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1112.87draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1070.45draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1068.40draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1079.20draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1105.04draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 894.42draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 889.28draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1174.50draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1093.40draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1069.59draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1122.85draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n" ] @@ -1240,52 +1239,52 @@ "text": [ "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1102.62draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1029.67draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1107.06draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 738.17draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.37draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 846.76draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1162.51draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 920.36draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1092.86draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1000.59draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1168.42draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1140.14draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 988.14draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 711.36draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 984.95draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 592.60draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1185.08draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1009.37draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1010.81draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1057.19draws/s]\n" ] }, { @@ -1303,52 +1302,52 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1063.11draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.15draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 963.78draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 834.82draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 798.21draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 786.31draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1026.42draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1068.02draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1036.69draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1108.47draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1050.71draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 779.91draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1130.50draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 841.70draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1037.81draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 964.11draws/s] \n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1110.51draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1165.80draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1094.39draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1078.22draws/s]\n" ] } ], @@ -1387,7 +1386,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1447,7 +1446,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -1456,7 +1455,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -1467,7 +1466,7 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:28<00:00, 1050.63draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:30<00:00, 986.70draws/s] \n" ] } ], @@ -1490,7 +1489,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -1513,7 +1512,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -1532,7 +1531,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1550,7 +1549,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1559,7 +1558,7 @@ "412.2473721341997" ] }, - "execution_count": 31, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1577,7 +1576,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1586,7 +1585,7 @@ "15.062775341988091" ] }, - "execution_count": 32, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1607,7 +1606,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -1618,19 +1617,19 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, p]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1873.56draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1828.49draws/s]\n", "The acceptance probability does not match the target. It is 0.8790785610439991, but should be close to 0.8. Try to increase the number of tuning steps.\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bf, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1206.42draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1183.86draws/s]\n", "The acceptance probability does not match the target. It is 0.8878556060097744, but should be close to 0.8. Try to increase the number of tuning steps.\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1331.24draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1442.66draws/s]\n" ] } ], @@ -1694,7 +1693,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1718,7 +1717,7 @@ "There has been a warning during the calculation. Please check the results." ] }, - "execution_count": 34, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -1736,7 +1735,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1824,7 +1823,7 @@ "m_6_6 deviance " ] }, - "execution_count": 35, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1845,7 +1844,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1863,7 +1862,7 @@ "array(9.96147766)" ] }, - "execution_count": 36, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1889,7 +1888,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1898,7 +1897,7 @@ "array([12.96, 67.04])" ] }, - "execution_count": 37, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1916,16 +1915,16 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 38, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, @@ -1953,7 +1952,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1962,7 +1961,7 @@ "array(0.69300909)" ] }, - "execution_count": 39, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1981,14 +1980,12 @@ "source": [ "#### Code 7.31\n", "\n", - "dSE is calculated by compare above, but `rethinking` produces a pairwise comparison.\n", - "\n", - "Note: the **must** be a better way to do this." + "dSE is calculated by compare above, but `rethinking` produces a pairwise comparison. This is not implemented in `arviz`, but we can hack it together:" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1999,30 +1996,142 @@ "See http://arxiv.org/abs/1507.04544 for details\n", " \"For one or more samples the posterior variance of the log predictive \"\n" ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
m_6_7m_6_8
m_6_89.961480
m_6_611.84636.93009
\n", + "
" + ], + "text/plain": [ + " m_6_7 m_6_8\n", + "m_6_8 9.96148 0\n", + "m_6_6 11.8463 6.93009" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "ms = {'m_6_6' : m_6_6_trace,\n", - " 'm_6_7' : m_6_7_trace,\n", - " 'm_6_8' : m_6_8_trace}\n", + "dataset_dict = {\n", + " 'm_6_6' : m_6_6_trace,\n", + " 'm_6_7' : m_6_7_trace,\n", + " 'm_6_8' : m_6_8_trace\n", + "}\n", + "\n", + "# compare all models\n", + "s0 = az.compare(dataset_dict, ic='waic', scale='deviance')['dse']\n", + "# the output compares each model to the 'best' model - i.e. two models are compared to one.\n", + "# to complete a pair-wise comparison we need to compare the remaining two models.\n", + "\n", + "# to do this, remove the 'best' model from the input data\n", + "del dataset_dict[s0.index[0]]\n", + "\n", + "# re-run compare with the remaining two models\n", + "s1 = az.compare(dataset_dict, ic='waic', scale='deviance')['dse']\n", "\n", - "# this is ugly, but I can'y see a clear way to calculate pairwise WAIC dSE using az.\n", + "# s0 compares two models to one model, and s1 compares the remaining two models to each other\n", + "# now we just nee to wrangle them together!\n", "\n", - "dSEs = pd.DataFrame(columns=ms.keys(), index=ms.keys())\n", + "# convert them both to dataframes, setting the name to the 'best' model in each `compare` output.\n", + "# (i.e. the name is the model that others are compared to)\n", + "df_0 = s0.to_frame(name=s0.index[0])\n", + "df_1 = s1.to_frame(name=s1.index[0])\n", "\n", - "for k in ms.keys():\n", - " for l in ms.keys():\n", - " if k == l:\n", - " continue\n", - " comp = az.compare({k: ms[k], l: ms[l]}, method='pseudo-BMA', ic='waic', scale='deviance')\n", - " dSEs.loc[k, l] = max(comp.loc[:, 'dse'])" + "# merge these dataframes to create a pairwise comparison\n", + "pd.merge(df_0 , df_1, left_index=True, right_index=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** this work for three models, but will get increasingly hack-y with additional models. The function below can be applied to *n* models:" ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "def pairwise_compare(dataset_dict, metric='dse', **kwargs):\n", + " \"\"\"\n", + " Calculate pairwise comparison of models in dataset_dict.\n", + " \n", + " Parameters\n", + " ----------\n", + " dataset_dict : dict\n", + " A dict containing two ore more {'name': pymc3.backends.base.MultiTrace}\n", + " items.\n", + " metric : str\n", + " The name of the matric to be calculated. Can be any valid column output\n", + " by `arviz.compare`. Note that this may change depending on the **kwargs\n", + " that are specified.\n", + " kwargs\n", + " Arguments passed to `arviz.compare`\n", + " \"\"\"\n", + " data_dict = dataset_dict.copy()\n", + " dicts = []\n", + " \n", + " while len(data_dict) > 1:\n", + " c = az.compare(data_dict, **kwargs)[metric]\n", + " dicts.append(c.to_frame(name=c.index[0]))\n", + " del data_dict[c.index[0]]\n", + " \n", + " return pd.concat(dicts, axis=1).dropna(how='any')" + ] + }, + { + "cell_type": "code", + "execution_count": 41, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + }, { "data": { "text/html": [ @@ -2044,49 +2153,44 @@ " \n", " \n", " \n", - " m_6_6\n", " m_6_7\n", " m_6_8\n", " \n", " \n", " \n", " \n", - " m_6_6\n", - " NaN\n", - " 11.8463\n", - " 6.93009\n", - " \n", - " \n", - " m_6_7\n", - " 11.8463\n", - " NaN\n", + " m_6_8\n", " 9.96148\n", + " 0\n", " \n", " \n", - " m_6_8\n", + " m_6_6\n", + " 11.8463\n", " 6.93009\n", - " 9.96148\n", - " NaN\n", " \n", " \n", "\n", "" ], "text/plain": [ - " m_6_6 m_6_7 m_6_8\n", - "m_6_6 NaN 11.8463 6.93009\n", - "m_6_7 11.8463 NaN 9.96148\n", - "m_6_8 6.93009 9.96148 NaN" + " m_6_7 m_6_8\n", + "m_6_8 9.96148 0\n", + "m_6_6 11.8463 6.93009" ] }, - "execution_count": 42, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# these numbers are quite different from those in the book\n", - "dSEs" + "dataset_dict = {\n", + " 'm_6_6' : m_6_6_trace,\n", + " 'm_6_7' : m_6_7_trace,\n", + " 'm_6_8' : m_6_8_trace\n", + "}\n", + "\n", + "pairwise_compare(dataset_dict, metric='dse', ic='waic', scale='deviance')" ] }, { @@ -2098,7 +2202,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -2111,7 +2215,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -2122,17 +2226,18 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:00<00:00, 2021.92draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1942.60draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1647.56draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:00<00:00, 2021.42draws/s]\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bM, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1214.64draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1477.35draws/s]\n", + "The acceptance probability does not match the target. It is 0.884650266255495, but should be close to 0.8. Try to increase the number of tuning steps.\n" ] } ], @@ -2181,15 +2286,13 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:532: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", - " \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n", "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:532: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", " \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n" ] @@ -2230,11 +2333,11 @@ " \n", " m_5_1\n", " 0\n", - " 127.345\n", - " 3.94925\n", + " 126.508\n", + " 3.41868\n", " 0\n", - " 0.650113\n", - " 12.4611\n", + " 0.691599\n", + " 12.3723\n", " 0\n", " True\n", " deviance\n", @@ -2242,24 +2345,24 @@ " \n", " m_5_3\n", " 1\n", - " 129.205\n", - " 5.00752\n", - " 1.85972\n", - " 0.263712\n", - " 9.47919\n", - " 1.05564\n", - " True\n", + " 128.869\n", + " 4.88707\n", + " 2.36092\n", + " 0.235037\n", + " 10.1269\n", + " 0.875712\n", + " False\n", " deviance\n", " \n", " \n", " m_5_2\n", " 2\n", - " 140.232\n", - " 2.87537\n", - " 12.8866\n", - " 0.0861747\n", - " 12.2204\n", - " 9.51046\n", + " 140.334\n", + " 2.97358\n", + " 13.8261\n", + " 0.0733639\n", + " 12.8529\n", + " 8.82372\n", " False\n", " deviance\n", " \n", @@ -2268,10 +2371,10 @@ "" ], "text/plain": [ - " rank loo p_loo d_loo weight se dse warning \\\n", - "m_5_1 0 127.345 3.94925 0 0.650113 12.4611 0 True \n", - "m_5_3 1 129.205 5.00752 1.85972 0.263712 9.47919 1.05564 True \n", - "m_5_2 2 140.232 2.87537 12.8866 0.0861747 12.2204 9.51046 False \n", + " rank loo p_loo d_loo weight se dse warning \\\n", + "m_5_1 0 126.508 3.41868 0 0.691599 12.3723 0 True \n", + "m_5_3 1 128.869 4.88707 2.36092 0.235037 10.1269 0.875712 False \n", + "m_5_2 2 140.334 2.97358 13.8261 0.0733639 12.8529 8.82372 False \n", "\n", " loo_scale \n", "m_5_1 deviance \n", @@ -2279,7 +2382,7 @@ "m_5_2 deviance " ] }, - "execution_count": 45, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -2299,15 +2402,13 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:532: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", - " \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n", "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", "See http://arxiv.org/abs/1507.04544 for details\n", " \"For one or more samples the posterior variance of the log predictive \"\n" @@ -2319,13 +2420,13 @@ "Text(0, 0.5, 'WAIC')" ] }, - "execution_count": 46, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnkAAAGvCAYAAAAnhsMOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nO3deVhV1f7H8c8BAUUcQEGL65iJmTkgaalpKo0OZWlZWZbXtFIrb4NDs9W16TY49MusLL2ZZubVytQsRSsLgRwwySxFw1JSRImrIOzfH1wQZNoHzrQ379fz9Pi0z2KfdfxyPJ+z1t5rOQzDMAQAAABb8fN2BwAAAOB6hDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCFCHgAAgA0R8gAAAGyolrc74AsyMjJMtWvQoIEyMzPd3Bu4GnWzJupmTdTNmqibtYSGhppqx0ieE/z8+OuyIupmTdTNmqibNVE3e6KqAAAANkTIAwAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCH2rgUAAKimvDxDW7dJh49IjcKkTh0lf3+HV/tEyAMAAKiGuA2GXp1pKD399LHwcOn+CVKf3t4LekzXAgAAVFHcBkOPPF4y4ElSerr0yOOG4jYY3umYCHkAAABVkpdXMIJXkddmGcrL807Q89np2uXLlysxMVHJycnatWuXcnNzNX36dF133XUl2uXm5uqrr77SunXrtHXrVv3+++9yOBxq06aNrr32Wg0fPlz+/v5eehUAAMCutm5TqRG8Mx06VNAuuotn+lScz4a81157TWlpaQoNDVVERITS0tLKbLdv3z7de++9qlu3ri666CL169dPx48f17p16zRt2jRt3LhR//d//yeHw7sXPwIAAHs5fMS17VzNZ0PeM888oxYtWigyMlJvvvmm/vWvf5XZLiQkRE888YSGDBmiOnXqFB3Pzs7WrbfeqnXr1mnVqlW66qqrPNV1AABQAzQKc207V/PZa/J69OihyMjISts1adJEN998c4mAJ0nBwcG64447JEmbN292Sx8BAEDN1aljwV20FYmIKGjnDT4b8lyhVq2CgUquyQMAAK7m7+/Q/RMqvhzsvvEOr62XZ+uQt3TpUklSr169vNwTAABgR316O/TsNEepEb2ICOnZaQ6vrpPns9fkVdfixYu1YcMGXXTRRerTp0+FbRs0aCA/P3N5NzQ01BXdg4dRN2uibtZE3ayJulXdtddIgwYaSkw6pfQ/8xXe2E9do2ux44U7rF+/Xk8//bQiIyP14osvVto+MzPT1HlDQ0OVkZFR3e7Bw6ibNVE3a6Ju1kTdXOPcNgX/SdKxY+57HrOB3HbTtRs3btSECRPUqFEjvffee4qIiPB2lwAAADzOViFvw4YNGjdunEJDQzV//nw1a9bM210CAADwCtuEvMKAV79+fc2fP18tWrTwdpcAAAC8xhYhrzDgNWjQQPPnz1fLli293SUAAACv8tkbL5YsWaLExERJ0q5du4qOxcfHS5JiY2MVGxurX375RePGjVNOTo66deumzz77rNS5IiMjS+15CwAAYGc+G/ISExO1bNmyEseSkpKUlJQkqSC4xcbG6s8//1ROTo4klRnwJKlbt26EPAAAUKM4DMMwvN0JbzN72zi3mFsTdbMm6mZN1M2aqJu11NglVAAAAEDIAwAAsCVCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYUC1vd6A8y5cvV2JiopKTk7Vr1y7l5uZq+vTpuu6668psn5WVpZkzZ2rNmjVKT09XeHi4Lr/8ck2YMEEhISEe7j0AAIB3+WzIe+2115SWlqbQ0FBFREQoLS2t3LbZ2dkaMWKEdu7cqZ49e2rAgAFKSUnRu+++q++//14LFy5UcHCwB3sPAADgXT47XfvMM8/oq6++0nfffafhw4dX2Patt97Szp07NXr0aL3zzjt68MEH9dZbb2ncuHHauXOn3nrrLQ/1GgAAwDf4bMjr0aOHIiMjK21nGIaWLFmi4OBgjRs3rsRjY8eOVYMGDfTRRx/JMAx3dRUAAMDn+GzIM2vv3r06dOiQoqOjS03JBgUFKSYmRgcPHlRqaqqXeggAAOB5lg95heGtZcuWZT7eokWLEu0AAABqAp+98cKs48ePS1K5d9AWHi9sV5YGDRrIz89c3g0NDXWyh/AF1M2aqJs1UTdrom72Y/mQ5wqZmZmm2oWGhiojI8PNvYGrUTdrom7WRN2sibpZi9lAbvnp2nr16kkqWCevLIXHC9sBAADUBJYPeYXX3O3du7fMxwuvxStsBwAAUBNYPuS1bNlSERERSkpKUnZ2donHTp48qYSEBEVERBDyAABAjWL5kOdwODRs2DBlZ2dr9uzZJR6bM2eOMjMzNWzYMDkcDi/1EAAAwPN89saLJUuWKDExUZK0a9euomPx8fGSpNjYWMXGxkqSRo8era+++qpo54vzzz9fKSkp2rBhg8477zyNHj3aOy8CAADAS3w25CUmJmrZsmUljiUlJSkpKUmSFBkZWRTygoODtWDBAs2aNUurV69WfHy8GjdurNtvv13jx49n31oAAFDjOAz2+zJ92zi3mFsTdbMm6mZN1M2aqJu11JglVAAAAFAaIQ8AAMCGCHkAAAA2RMgDAACwIUIeAACADRHyAAAAbIiQBwAAYEOEPAAAABsi5AEAANgQIQ8AAMCGCHkAAAA2RMgDAACwIUIeAACADRHyAAAAbIiQBwAAYEOEPAAAABsi5AEAANgQIQ8AAMCGCHkAAAA2RMgDAACwIUIeAACADRHyAAAAbIiQBwAAYEOEPAAAABsi5AEAANgQIQ8AAMCGCHkAAAA2RMgDAACwIUIeAACADRHyAAAAbIiQBwAAYEOEPAAAABsi5AEAANgQIQ8AAMCGCHkAAAA2RMgDAACwIUIeAACADRHyAAAAbIiQBwAAYEOEPAAAABsi5AEAANgQIQ8AAMCGCHkAAAA2RMgDAACwIUIeAACADRHyAAAAbIiQBwAAYEO1vN0BVzEMQ1988YUWLFigPXv26Pjx42ratKm6d++uO++8U82aNfN2FwEAADzGNiHv+eef17x58xQeHq7+/fsrJCREKSkp+vDDD/Xpp59q0aJFatu2rbe7CQAA4BG2CHnp6el67733FBkZqRUrVigkJKTosXfffVfTp0/XvHnzNH36dC/2EgAAwHNscU1eWlqa8vPzFR0dXSLgSdKll14qSTpy5IgXegYAAOAdtgh5LVq0UEBAgJKSkpSVlVXisbi4OEnSRRdd5I2uAQAAeIXDMAzD251whbffflsvvPCCmjRpon79+qlu3bratWuXNm3apOuuu06PPfaYAgICyvzZ/Px8+fnZIu8CAABIslHIk6RPPvlEjz/+uLKzs4uOdenSRQ8++KBiYmLK/bmMjAxT5w8NDTXdFr6DulkTdbMm6mZN1M1aQkNDTbWzzfDV66+/rilTpmjs2LGKi4vTDz/8oIULFyovL0+33Xab1qxZ4+0uAgAAeIwtQt6mTZv02muv6ZZbbtFdd92lpk2bKjg4WF27dtWcOXMUFBTEnbUAAKBGsUXIK7y5onv37qUeCwsLU1RUlA4cOMAdtgAAoMawRcjLzc2VVP4yKYXHAwMDPdYnAAAAb7JFyIuOjpZUsPDx8ePHSzy2bNkypaam6vzzzy+1hh4AAJ6Wl2co6QdDX3xZ8Gdenm3uf4SPscWOF1deeaUWLVqk+Ph4XX755erXr5/q16+vn376Sd98840CAwM1depUb3cTAFDDxW0w9OpMQ+npp4+Fh0v3T5D69HZ4r2OwJdssoZKTk6P33ntPn3/+uX799Vfl5uaqUaNGuvDCCzV27NgK961lCRV7o27WRN2sibqVL26DoUceL/8j99lpDq8FPepmLWaXULFNyKsOQp69UTdrom7WRN3KlpdnaOjwkiN4Z4qIkJZ84JC/v+eDHnWzlhq3Th4AAL5q6zZVGPAk6dChgnaAqxDyAABws8MmV/Ay2w4ww6kbL44ePars7GzVq1dP9erVq7Dt8ePHdfz4cQUHB6thw4bV6iQAAFbWKMy17QAzTI/kZWdna+DAgRo8eLDSKxtzlpSenq7Bgwfr2muv1YkTJ6rVSQAArKxTx4K7aCsSEVHQDnAV0yHvP//5j/7880/dfffdat26daXtW7durfHjx+uPP/7QihUrqtVJAACszN/fofsnVHxDxX3jvXPTBezLdMj78ssvVadOHY0YMcL0yW+66SbVqVNHa9asqVLnAACwiz69HXp2mqPUiF5EhHeXT4F9mb4mLyUlRZ06dVJQUJDpkwcFBalTp05KSUmpUucAALCTPr0d6tWz4C7aw0cKrsHr1FGM4MEtTIe8zMxMNW7c2OknaNy4sRISEpz+OQAA7Mjf36HoLt7uBWoC09O1devWVVZWltNPkJWVpeDgYKd/DgAAAFVnOuRFRkYqOTnZ6SdITk5WZGSk0z8HAACAqjMd8i6++GIdPnzYqTtlly9frj///FM9e/asUucAAABQNaZD3q233qrAwEA99dRT2rx5c6Xt4+Pj9dRTTykoKMipO3IBAABQfaZDXtOmTTVlyhT99ddfGjlypB544AGtW7dOBw8eVG5urnJzc3Xw4EGtW7dODzzwgG6//XZlZ2dr8uTJatq0qTtfAwAAAM7g1LZmw4cPl7+/v5555hl99tlnWrlyZZntDMNQYGCgpk6dquHDh7ukowAAADDPqZAnScOGDVPv3r21YMECxcXFaffu3TIMQ5LkcDjUpk0b9enTRyNGjGAEDwAAwEscRmFCq6Lc3FwdO3ZMhmGoQYMGCggIcFXfPCYjI8NUu9DQUNNt4TuomzVRN2uibtZE3awlNDTUVDunR/LOFBAQoEaNGlX3NAAAAHAh0zdeAAAAwDpMj+TddtttVX4Sh8Oh9957r8o/DwAAAOeYDnnx8fFVfhKHg42XAQAAPMl0yJs/f747+wEAAAAXMh3yunXr5s5+AAAAwIXcfuNFVlaWlixZ4u6nAQAAQDHVXkKlLKdOndKGDRu0fPlyrV+/Xjk5ORo2bJg7ngoAAABlcGnI27Jli1asWKGVK1cqMzNThmHI399fF110kSufBgAAAJWodsjbt2+fVqxYoU8++UT79u2TVLB3bZcuXTRgwABdddVVLJYMAADgYVUKeUePHtXKlSu1YsUKbd26VVJBsGvdurUyMzN15MgRffDBBy7tKAAAAMwzHfJycnL01VdfacWKFdq4caNOnTolwzDUuHFjXXXVVbrmmmvUoUMH3XzzzTpy5Ig7+wwAAIBKmA55PXv2VFZWlgzDUJ06dXTFFVdo8ODB6tWrl/z82B0NAADAl5gOecePH5fD4VBERISefvpp9enTx539AgAAQDWYHoIrHLE7dOiQ7rrrLvXr10+vvPKKdu/e7c7+AQAAoApMj+S99dZbOnz4sD755BMtX75cO3fu1Jw5c/Tmm2+qXbt2uuaaazRgwAB39hUAAAAmOQzDMKryg7/88ouWLVumzz77TL///rscDof8/PxUq1Yt5eTkaPPmzQoJCXF1f90iIyPDVLvQ0FDTbeE7qJs1UTdrom7WRN2sJTQ01FS7Koe8QoZh6Pvvv9fy5cu1Zs0a/fXXX5KkwMBA9e7dWwMGDFDfvn1Vu3bt6jyNWxHy7I26WRN1sybqZk3UzVo8FvKKO3nypNauXavly5fr22+/1alTp+RwOFSnTh0lJSW56mlcjpBnb9TNmqibNVE3a6Ju1mI25Jm+Jm/o0KG68MIL1bVrV0VHRyssLKxUm6CgIA0YMEADBgzQkSNHtGLFCq1YsUI//vij+Z4DAACg2kyP5LVr104Oh6Po/1u1aqWYmBh17dpVMTExioyMLPdnf/nlF51zzjnV762bMJJnb9TNmqibNVE3a6Ju1uLy6dq4uDglJiYqMTFRycnJOnnyZMEJ/hf8mjRpUhT4YmJidO6551ax655HyLM36mZN1M2aqJs1UTdrces1ebm5udq+fXtR6Pvhhx+UmZlZcML/hb769esrOjq6aLSvc+fOzj6NxxDy7I26WRN1sybqZk3UzVo8fuPF7t27lZiYqISEBCUlJSktLa0o8DkcDp++Lo+QZ2/UzZqomzVRN2uibtbi8hsvKtOmTRu1adNGN954o37++WetXLlS77//vo4dO+aqpwAAAIBJ1Q55p06dUnJycolRvGPHjskwDDkcDrVp00bR0dGu6CsAAABMcjrk/fXXX9qyZYsSEhKUkJCg7du36+TJkzIMQ7Vr19YFF1yg6OhoRUdHq0uXLqpfv747+g0AAIAKmA55//znP5WQkKCffvpJeXl5kqTGjRurd+/eRaGuffv2qlXLZTPAAAAAqCLTiWz+/PlyOBxq166dbrnlFnXv3l3NmjVzZ98AAABQRaZDXu3atXXixAnt3LlTzz77rC644IKi3S+6dOmikJAQd/YTAAAATjAd8hITE7Vjx44Sa+PFx8fL4XDI4XDo3HPPVXR0dFHwO/vss93ZbwAAAFSgWuvk7dmzpyj0JSUlKTU1teCkDkfRDhiFwa9du3Yu63RFvvjiCy1cuFA//vij/vvf/6px48bq3LmzHnroIZ111lll/gzr5NkbdbMm6mZN1M2aqJu1eGSdvFatWqlVq1YaOnSoJOnIkSNKSEgoCn6rV6/WypUrPbIYsmEYeuKJJ7R48WI1b95cV199terWratDhw5p8+bNSktLKzfkAQAA2I1Lb4UNCQlRaGioQkND1aBBAwUGBio7O9uVT1GuBQsWaPHixbrlllv0yCOPyN/fv8Tjp06d8kg/AAAAfEG1Qt6xY8eUlJRUNHqXnJxcFKYKZ4GbN2+url27Vr+nFThx4oRmz56tZs2aaerUqaUCniSWdgEAADWKU8nnjz/+KAp0CQkJ+uWXX2QYRlGg8/PzU1RUlGJiYtS1a1fFxMQoPDzcLR0v7ptvvtHRo0c1ZMgQ5efna82aNdq7d6/q1aunHj16qEWLFm7vAwAAgC8xHfL69eun33//XdLpUbrAwEB16NChKNR17drVK0upJCcnS5L8/f01ePBg7dmzp+gxPz8/3X777Zo0aVK5P9+gQQP5+fmZei6zFzvCt1A3a6Ju1kTdrIm62Y/pkHfgwAGFhISoc+fOiomJUUxMjDp27KjAwEB39s+Uw4cPS5LmzZun9u3ba8mSJTrnnHO0c+dOPfbYY3rnnXfUrFkz3XzzzWX+fGZmpqnn4e4ja6Ju1kTdrIm6WRN1sxaX31378ccfq127dqZHvDypcGQxICBAs2fPVpMmTSRJMTExmjFjhgYPHqx58+aVG/IAAADsxnRia9++vU8GPElFU8QdOnQoCniFzj33XDVr1kz79u3TsWPHvNE9AAAAj/PN1Oak1q1bS5Lq1atX5uOFx0+cOOGxPgEAAHiTLUJe9+7dJUm//vprqcdyc3O1b98+BQcHKywszNNdAwAA8ApbhLzmzZurV69eSk1N1ZIlS0o89uabb+rYsWOKjY1lrTwAAFBjVGvvWl+yb98+DR8+XIcPH9all16q1q1b68cff9R3332nyMhILV68uNw1+9i71t6omzVRN2uibtZE3azF7N21thjJkwpG85YuXarrrrtOO3bs0IIFC5SamqpbbrlFS5Ys8ciizAAAAL7CVvOXZ511lqZPn+7tbgAAAHidbUbyAAAAcBohDwAAwIYIeQAAADZEyAMAALAhQh4AAIANEfIAAABsiJAHAABgQ4Q8AAAAGyLkAQAA2BAhDwAAwIYIeQAAADZEyAMAALAhQh4AAIANEfIAAABsiJAHAABgQ4Q8AAAAGyLkAQAA2BAhDwAAwIYIeQAAADZEyAMAALAhQh4AAIANEfIAAABsiJAHAABgQ4Q8AAAAGyLkAQAA2BAhDwAAwIYIeQAAADZEyAMAALChWt7uAAD7yMsztHWbdPiI1ChM6tRR8vd3eLtbAFAjEfIAuETcBkOvzjSUnn76WHi4dP8EqU9vgh4AeBrTtQCqLW6DoUceLxnwJCk9XXrkcUNxGwzvdAwAajBCHoBqycsrGMGryGuzDOXlEfQAwJMIeQCqZes2lRrBO9OhQwXtAACeQ8gDUC2Hj7i2HQDANQh5AKqlUZhr2wEAXIOQB6BaOnUsuIu2IhERBe0AAJ5DyANQLf7+Dt0/oeIlUu4b72C9PADwMEIegGrr09uhZ6c5So3oRURIz05zsE4eAHgBiyEDcIk+vR3q1VPseAEAPoKQB8Bl/P0diu7i7V4AACSmawEAAGyJkAcAAGBDhDwAAAAb4po8ADhDXp7BDSQALI+QB4/iw9N+7FbTuA2GXp1plNiPNzxcun+CWAoGgKUQ8uAxfHjaj91qGrfB0COPG6WOp6dLjzxu6Nlp1nxdAGom216TN3fuXEVFRSkqKkpbtmzxdndqvMIPz+JhQDr94Rm3ofQHK3yb3Wqal1cQWCvy2ixDeXnWel0Aai5bhrxffvlFM2bMUHBwsLe7AvHhaUd2rOnWbSoVWM906FBBO0/LyzOU9IOhL74s+NNKf68AvMd207V5eXmaNGmS2rVrp5YtW2rFihXe7lKN58yHJwvpWoMda3r4iGvbuYrdpsQBeI7tRvLmzp2rlJQU/fOf/5S/v7+3uwP57ocnqs6ONW0U5tp2rmC3KXEAnmWrkLdr1y7NmjVLd999t84991xvdwf/44sfnqgeO9a0U8eCEbKKREQUtPMEO06JA/As24S8U6dOafLkyTrnnHM0ZswYb3cHxfjahyeqz4419fd36P4JFU9/3jfe4bHlYXz5GkEA1mCba/LeeOMN/fTTT/rwww8VEBDg1M82aNBAfn7m8m5oaGhVulfjPTL5pCY+mCVJMooNPDj+93k5dVKIGjcOctvzUzfX80RNPV23a6+R6tY9qekvZOvgwfyi402b+Gnyw8G6LNZ9v6NnOnHypKQsE+3qKjTUc/0yg/ebNVE3+7FFyEtJSdEbb7yhUaNG6fzzz3f65zMzM021Cw0NVUZGhtPnhxTTVXrmKUeZF5DfN96hmK7ZysjIdstzUzf3KK+m9epJw66XunT+q1o19VbdYrpKHy40tHWbo9gCz4b8/d33O1qW2kHmpmFrB1Xv79nVeL9ZE3WzFrOB3BYhb9KkSWrWrJkmTJjg7a6gAn16O9Srp2y1O0JNV1jT+f82tOQj6dhx6dgx6e150opPDcveAerv7/D6XcGFU+IVTdlabUocgGc5DMOw/FW7UVFRptrNnj1bsbGxpY6b/fbCNx1rom7uVd4uEYWeneaoUtCjbu77u3Un6mZN1M1aatRI3tChQ8s8npCQoL1796pfv34KCwtTZGSkh3sG2JvZO0B79WTEtir69Hbo2WkqNSUeEVFwmYOvBTwAvsUWIe/ZZ58t8/jkyZO1d+9ejR07Vp07d/ZwrwD7s+OiyL6GyxwAVJUtQh4A77Djosi+yBeuEQRgPbZZJw+A59lxUWQAsAtbh7znnntOP/30E1O1gJvYcVFkALALW4c8AO7la7tEAABOI+QBqJaCO0AdpUb0IiJ8c4kPAKgpuPECQLVxBygA+B5CHgCX4A5QAPAtTNcCAADYECEPAADAhgh5AAAANkTIAwAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbYjFkWFpensEuCwAAlIGQB8uK22Do1ZmG0tNPHwsPl+6fIPZLBQDUeEzXwpLiNhh65PGSAU+S0tOlRx43FLfB8E7HAADwEYQ8WE5eXsEIXkVem2UoL4+gBwCouQh5sJyt21RqBO9Mhw4VtKtp8vIMJf1g6IsvC/4k6AJAzcU1ebCcw0dc284uuEYRVsUNVIB7EPJgOY3CXNvODgqvUTxT4TWKz04j6ME38eUEcB+ma2E5nToWfAhUJCKioJ1k/ylMrlGEVXEDFeBejOTBcvz9Hbp/gsocuSp033iH/P0dittgaMbsozp48HRbs6MEVplCcuYaxegunukTUBmzX0569fTN9x1gBYQ82NbpKcySHyRmpjCtNIXENYqwIr6cAO7HdC0sx9QIwExDr8yo2hSm1aaQuEYRVsSXE8D9CHmwHFMjAOnSn39W0qaMZVaseH2bs9coAr6ALyeA+xHyYDmu/GZ/5rmsuAZfwTWKFU8hF16jCPgKvpwA7kfIg+W48pv9meey6hRSn94OPTvNUepDMyJCenaaw+euIwT4cgK4HzdewHIKRwAqGnGLCJfyjYqnbMsaJbDyFFKf3g716ilL3BEMSIVfTlTqJqeIiIKAx5cToHoIebAcU0uo/G+E4JHHDTkcklFG07JGCUwFSB+eQvL3d3AnIiyFLyeA+zBdC0syMz1Z2CYiwq/cNmdiCgnwvIIvJw5d1r/gT95fgGs4DKOsMY6aJSMjw1S70NBQ023hGWYWLK5fv6HWx2U4NUpQ1jp5TCF5Fu83a6Ju1kTdrCU0NNRUO6ZrYWlmpicLRwmcwRQS7MYqO7gAcB1CHmokMx94XN8Gu7DSDi4AXIeQhxqHDzzUJKe39yvJzPZ+AKyNGy9Qo1htyzKgOqy4gwsA1yHkocbgAw81jRV3cAHgOoQ81Bh84KGmseoOLgBcg5CHGoMPPNQ0Vt7BBUD1EfJQY/CBh5qmcAeXivjyDi4AqoeQhxrDEx94eXmGkn4w9MWXBX9yfR+8iR1cgJqNJVRQY5ja87YaH3gszQJfVLC9n9jBBaiB2NZMbGtmd2fWzR1blpW3FlEm5xQAACAASURBVFmh8vbKrYqasnMB7zfX8tTvDXWzJupmLWxrBpTD1VuWmV2apVfP6n+o2n20sHgQadkiV61bGbYMsN7ADi5AzUPIQ43kyg88Z5Zm6dSx6qMpdt+5oHSAPWarAAsAnkbIQ5XVlGnDyphdcuXrbww9/U9VaRTOk6OF3mD3AAsA3kDIsyl3BzC7Txs6w+ySKx9+VPqY2RDjzGih1abk7B5gAcBbCHk25O4AxqhLSYVLs1QUwvz8pPz88h+vLMTYeSFnOwdYAPAm1smzmcIAduaHZmEAi9tQvZup2f+1NDNrkVUU8KTKt1Oz80LOdg6wAOBNtgh5Bw8e1LvvvqtRo0bp0ksvVYcOHdSzZ09NmDBBW7du9Xb3PMYTAcyd+79aeSHhgrXIHKUWW46IkG4Yau4cFYUYO+9cYOcACwDeZIvp2gULFmju3Llq3ry5evTooUaNGik1NVVr167V2rVr9a9//UtXX321t7vpdp6Y9nLXqIsdrvErb2mWrdukDz+qPLBWFGLcvZCzN5mZ7rZqgAUAb7JFyOvYsaPef/99xcTElDiekJCg22+/XU899ZRiY2MVGBjolf556i5UT0x7uWPUxU7X+JW1NEunjoZLQkx1di7w5Tuh7RxgAcCbbBHyLr/88jKPx8TEqHv37vr666/1008/6YILLvBwzzw7QuWJaS9Xj7o4c2elVHqUrKxjvhYGXBliqrKQsxVGSdl6C5JvfxkBrMgWIa8itWrVKvGnJ3lihKr4P4qhDV0zYlQRV4+6mJ1inv9vQys+Ldm2fv2CP48dO33M18JLoT69Hbp5uKFFH5a8CcPPTxp+g3P9dWYhZyuNkp4ZYFu2qKfWrY7zIV9DWOHLCGA1tt679sCBA7riiivUoEEDxcXFyd/fv8x27ti7Ni/P0NDhpe9yLS4iQlryQdWnodatz9e/XpGOZp4+Vr9+ydBzJlftoeqq/V+/+NLQU0+7/lew+Ov0hT0ZPbm3bSFP/A66ky/UDc6rSt288f5ASbzfrMXs3rW2DXm5ubm64447tHnzZj3//PO69tpry22bn58vPz/X3mgcvzlXd4yuIG39z7y36qvbhQFOn/+ll//SvPdOlPt4wwYOHc08XdqmTfw0+eFgXRYb5PRzlScvz1Bi0iml/5mv8MZ+6hpdy+mwYPbvyRkOh9Qkwk9rPm/oE+ElL8/QZVcd1cGDZa+j4q7+VuV30BU1BZzhrfcHUBPYcro2Pz9fU6dO1ebNm3XDDTdUGPAkKTMzs8LHCznzTWdvqrnsvDf1uM5t49w/XOvW52veexW3CQg09Oq/pIyjjv9d22LI3z9bGRnZTj1XZc5tU/CfVPEIYnlat6p8itlZhiH9cTBf6+MyFN3F4fVvqEk/GDp4sPzfhzP76yrO/g6WP13mnVEUb9cNVeNs3bz1/kBJvN+sxexIni3WySvOMAw9+uijWrFihQYPHqynnnrKK/1w100QeXmGXnql8nbp6ZKfn0OX9XcouotvTsdJ5hYSripfWTzXW4v9OvM76O5FtIHysBg24D62CnmFI3hLly7VwIED9dxzz7l8GtYsdy1eu3WbZHLgUV9/Y40P5ooWEv77HVU/r68snuutxX7N/g52OJ9dTOA9LIYNuI9tQl5+fr4eeeQRffzxx7r66qv1wgsvlHujhSeYGaGqytpfznybXbNWbvlgdsfOFH16O/TRIodmvOLQE48V/LnkA4duG1E6/JnhS4vnemu3CrO/g8k7HG7bxQSojJ13cwG8zRYhr3jAu/LKK/Xiiy96NeAVqmiEqry7xSoLUM58mz161PUfzHEbCu7YvHdiwV2x904s+H9XTOcVLA1Scoq5qtO5vrR4rrsCvxlmfgfNjvgyXQZ38Ob7A7A7W9xdO3PmTM2aNUvBwcG67bbbylwTLzY2Vuedd16ZP++OJVSKM7vAp5kL380si1HcE48VhCZX8OYyB2X93TSoLxkqecNHWcu4+MoFxc4sO+PqRWHLO19enqFrrjNKLMNTnhmvODx64buv1A3OqWrdXLUsE6qG95u1mL3xwhZ316alpUmSsrOz9cYbb5TZJjIystyQ525mFq81u2itmcWIi3PVdSzO7EzhTBgxG2bK2+lB8v0dLwqZ3a3CHYvClvc7uHWbTAW8hg2dny5j9wI4oyq7uQComC1C3nPPPafnnnvO292oMmcDVJ/eDj39pKEnppXcPeFMzl7HUtGHstmdKbZuk1O7MZQVZgYPNPS3vzlK9aG8oFL8WOF095lB0Co8vUOF2SnYy2Od+7Bl9wJUhTO7uQConC1CntVVJUD1vdRPUr4ee7L8nym8juXMrc+k4uvnFfzDWtmHclWWOagoNFYUZt6eJxVMxDoXDMp7DY9MPqmYrub6706V/R27a7S0ImZHenv1dC7gWWUrNQCwM0KeD3AmQJUMTgUjejNmlwyJDRtKD9xf8EFa1tZnBU6HqMv6G1q4qPTzFf9QdnaZg4oCTa+eqjTMlNWHioJBRcFi4oNZeuYp717XYyb41Kvn+tHSyhTe2eiq/Y69EVQBAGUj5PkAswHqt98MDR2uUsGpf1/p89Wn1887elSaMVta80W+Nn5T8TnT01VmwCvutVmGFv278n1xC8NAZYHm73c4v8NFRcHA14OF2f6NvdPc+Vx5l6uZazydubPRHdP6AICqscUSKlZnZp2oBvULpjHL2pFg0YelF0hOT1elAc+sQ4ek9z+ofNuy+8YXBIHKAs2SpVXrQ3nLwVQWLAzDu+u8mQ0+R4+aO5+rF4WtylI/5WH3AgDwHYzk+QAzoyneXufmw48qfrxBfRXdGVdZoKnKHrdS+cHA14OF2edt2NC1U6fOcNWdjexeAAC+g5E8H1HZ1l5VDUaucvx4xY9nHjsdEMyoX8/5PpQXDHw9WJh93vDG3l0UtqzFqJ3F7gUA4DsIeT6kvK29/vY3716gXr++uXaFI0BmDBvqXB8qCgaVBQuHw7vBwpng48qpU29g9wIA8B1M1/qYstaJahTm3cnaYdcXLmtSscIpPjNTjreNcKh1K5W6A7c8FQUDV9884GrO9s/qi8IWBNXStWX3AgDwLFtsa1Zd7t7WrLqc3cqsKm4eLn3xpcr8UO7VU5U+f0SEtOQDR9Gae2a3Pyu+JMxvvxla/on055+l+1DVdfIiIqSpk0IU0zW70p93t5q2bVN1d7xgmyVrom7WRN2sxey2ZoQ8+X7IkyrfN7aqioeMqixeXOjMqcSqBprqBoOyfr5x4zCf+ceLrb7M40PHmqibNVE3ayHkOcEKIU8qPzjF9it7FK6s4w0aSNdfKzVrXnrbsKo+f3nBzVcCjbfrhqqhbtZE3ayJulkLIc8JVgl5UvnBydnjrn5+X+YLdYPzqJs1UTdrom7WYjbkceOFxZS3gbezx139/AAAwLewhAoAAIANEfIAAABsiJAHAABgQ4Q8AAAAGyLkAQAA2BAhDwAAwIYIeQAAADZEyAMAALAhQh4AAIANEfIAAABsiL1rAQAAbIiRPAAAABsi5AEAANgQIQ8AAMCGCHkAAAA2RMgDAACwoVre7oAvSk9P16uvvqq4uDhlZmbq7LPP1qBBgzRmzBgFBgaaOsfevXu1atUqbdy4UampqTp69KgaNWqk7t27a+zYsTrnnHPc/Crsa9u2bZo5c6a2bNmi3NxctWnTRiNHjtSgQYNMnyM/P18LFy7U4sWLlZqaquDgYHXv3l0TJ05Uy5Yt3df5Gqy6dUtISNDatWsVHx+vtLQ0ZWdnKzIyUv3799fYsWNVv359N7+CmskV77ficnNzNXToUKWkpKhVq1ZatWqVi3sMyXV1y8rK0jvvvKM1a9Zo//79CggIULNmzdS/f3+NHz/eTb2Hq7CEyhnS09N1ww036Pfff1dsbKxatmypxMREJSUl6ZJLLtGbb74pP7/KB0AnTpyolStXqm3btoqOjlZISIh27dqlDRs2qHbt2nr77bcVExPjgVdkL99//73+/ve/KyAgQAMGDFC9evW0Zs0a/fbbb5o4caLuuusuU+d57LHH9OGHH6pNmzbq06ePDh8+rJUrVyooKEiLFi1SmzZt3PxKahZX1K1nz57KyMhQ165ddd5558nhcCg+Pl4//vijmjdvrkWLFqlRo0YeeDU1h6veb8W99tprevfdd5WdnU3IcxNX1e3AgQMaOXKk9u/frx49eui8885TTk6O9u3bpwMHDuiTTz5x8ytBtRko4eGHHzbatm1rvP/++0XH8vPzjUmTJhlt27Y1PvroI1PnWbp0qbFz585Sxz/99FOjbdu2xtVXX+2yPtcUubm5RmxsrNGhQwdjx44dRcePHz9uDBgwwGjfvr2xZ8+eSs+zadMmo23btsbNN99snDx5suj4t99+a0RFRRm33HKLO7pfY7mqbnPmzDEOHjxY4lh+fr7xxBNPGG3btjWefPJJV3e9RnNV3YpLTk422rdvb8yfP99o27atccUVV7i413BV3U6dOmVcf/31RseOHY1NmzaV+TzwfVyTV0xWVpZWrlypZs2a6aabbio67nA49I9//EN+fn5asmSJqXNdd911ateuXanjAwYMUMuWLbV7924dOXLEZX2vCb777jvt27dPAwcOVPv27YuOh4SE6J577tGpU6f08ccfV3qewhref//9JabfL774YvXq1UubN2/Wnj17XP8CaihX1W3MmDGKiIgocczhcOiee+6RJG3evNm1Ha/hXFW3Qjk5OZo8ebI6deqkESNGuKPLkOvqtnr1am3fvl2jRo3SRRddVOrxWrW42ssKqFIxW7ZsUU5Ojnr06CGHw1HisYiICLVt21Zbt27VyZMnFRQUVOXnCQgIkMSbxFnx8fGSpF69epV6rGfPniXaVOT7779XcHCwoqOjSz3Wq1cvbdy4UZs3b1arVq2q2WNIrqtbeQrfR/7+/lU+B0pzdd1mzZql1NRULV++vNS/r3AdV9Vt5cqVkqQrr7xSv//+u9avX6/jx4+rWbNm6t27t+rWrevCXsNdSBnFpKamSlK5F963aNFCKSkp2r9/f5Wv2dq2bZt+/vlnXXDBBVwo7qS9e/dKKqjDmRo0aKDQ0NCiGpYnOztb6enpatu2bZmhoLD2hc+F6nNF3SqydOlSSac/wOAarqzbtm3b9NZbb2nixIl8eXIzV9UtOTlZkpSYmKjp06crJyen6LGwsDC9+uqr6t69u2s6DbdhuraY48ePS5Lq1atX5uMhISEl2lXl/JMmTZKfn58eeuihqnWyBsvKypJUcX0qq03h44W1LOscxZ8L1eeKupVn586dmj17tho1aqTRo0dXuY8ozVV1y8nJ0ZQpU3Teeedp1KhRLu0jSnNV3Q4fPixJeuaZZzRy5EjFxcVp06ZNevTRR3X8+HGNGzdOhw4dcl3H4Ra2HMnr3r27jh49arr9/Pnz3f6N5OTJkxo/frx+/fVXTZw4kW9AQDXt379fY8eOVV5enl5++WWFhYV5u0sow6uvvqrU1FQtXbqUKXULMf638Mall16qBx98sOj4rbfeqoMHD2ru3Ln66KOPiq6JhW+yZcgbOHCg/vrrL9PtGzduLOn0N5/yvuVU9g2pPDk5ORo3bpy+++47jR07tkrLDqDykdSsrKxKa1P4eHkjdYXHyxvpg/NcUbczpaWlaeTIkTpy5IhmzpxZ5oXhqB5X1G3Hjh169913dc899ygqKsrlfURprnq/hYSEKCMjQ/369Sv1WN++fTV37tyiKV34LluGvMcee6xKP1d4DUN512OlpqbKz89PzZo1M33OkydP6p577tHXX3+t0aNH6x//+EeV+obT18ulpqaqQ4cOJR7LzMxURkaGunTpUuE5goODFR4ert9++015eXmlRhYKa8+CyK7jiroV99tvv+m2227ToUOH9Oqrr6pv376u7C7+xxV1++mnn5SXl6eZM2dq5syZpR7fs2ePoqKiVK9ePSUkJLis7zWZq95vrVq1UkZGRpnXjhceO3nyZPU7DLfimrxiOnfurMDAQH377bdFQ9WFDh06pF27dqlTp06m76wtHvBGjRrFdXjVdOGFF0qSvv7661KPffPNN5Kkbt26VXqebt26KTs7W0lJSaUeKzx34XOh+lxVN6lkwHvllVcUGxvruo6iBFfUrWXLlho6dGiZ/0kFI+tDhw7Vtdde6+Le11yuer8Vjo7v3r271GOFxyIjI6vcT3iItxfq8zXOLoacnZ1t7N6920hLSytx/MSJE8aoUaOMtm3bGtOnT/dI3+0uNzfX6N+/v9GhQwfjxx9/LDpefJHPX3/9tej44cOHjd27dxuHDx8ucR4WQ/YsV9Vt//79Rt++fY327dsbq1ev9lj/aypX1a08LIbsHq6q2759+4wOHToYF198sfHHH3+UOM8111xjtG3b1vj222/d/4JQLWxrdoZDhw7phhtu0B9//KHLLrtMLVu2VEJCgpKSktSrVy/NnTu3xLZm33//vW677TZ169ZNCxYsKDo+efJkLVu2TOHh4brxxhvLfK4hQ4bob3/7m9tfk5189913Gj16tAICAjRw4ECFhIQUbddz//336+677y5qO3PmTM2aNUvjx4/XhAkTSpzn0Ucf1ZIlS9jWzENcUbd+/fopLS1NnTt3LnMNMEml6ozqcdX7rSxRUVFsa+YmrqrbggUL9Mwzz6hhw4a67LLLFBgYqPXr1ystLU033nijpk2b5umXBifZ8pq86oiIiNCHH36oV199VXFxcVq3bp3OPvtsTZgwQWPGjDG1b61UcGG4VLAX7qxZs8ps061bN0Keky666CItXLhQM2bM0Oeff1608fZ9992nwYMHmz7PtGnTFBUVpcWLF2vBggUKDg5W3759WcfLTVxRt8L31JYtW7Rly5Yy2xDyXMtV7zd4lqvqduuttyoyMlJvv/22PvvsM+Xl5alNmza66667dMMNN7jxFcBVGMkDAACwIW68AAAAsCFCHgAAgA0R8gAAAGyIkAcAAGBDhDwAAAAbIuQBAADYECEPAADAhgh5AAAANkTIAwAAsCG2NQPgclFRUSX+3+FwKCQkRG3bttWQIUM0dOhQORyOEm2OHTumd955R+vWrVNqaqry8/MVFhamyMhIxcTE6Morr9R5551X1P7jjz/WlClTNGTIED333HMlznXy5EktWLBAq1at0q+//qqcnByFhobqrLPOUnR0tPr3768LL7zQ1Gsp3Ie6uKCgIJ199tnq3bu37rzzToWHhzvz12M7UVFRioyM1FdffeXtrgAohpAHwG2GDBkiScrLy9P+/fuVlJSkxMREbdq0SS+//HJRu7S0NI0YMUIHDhxQ3bp11aVLF4WFheno0aNKTk5WQkKCMjIyTG2InpmZqZEjR2rnzp0KDAxU586dFRERoaysLO3YsUNbt27Vzz//bDrkFYqOjlaLFi0kSYcPH9bWrVv13nvvaeXKlVq0aJFP7UNduOn89OnTdd1113m7OwC8hJAHwG3OHGH75ptvNGbMGH322WcaNGiQ+vbtK0l6+umndeDAAfXt21cvvvii6tWrV/Qzp06d0jfffKPDhw+bes4ZM2Zo586d6tChg+bMmaPGjRsXPWYYhhITE7Vjxw6nX8uwYcNKBKYjR47ozjvvVHJysl544QXNmDHD6XMCgDtxTR4Aj+nZs6cGDx4sSVq7dq0k6cSJE9q4caMkaerUqSUCniTVqlVLffr0MT0itWbNGknSgw8+WCLgSQXTxjExMRo5cmS1XockhYWFafLkyZKk9evXKzc3t9rnBABXIuQB8Kj27dtLkv744w9JBdOrp06dklQQnKorIyNDkhQaGlrtc1Wm8BrBkydPFj3v+vXrNWXKFF111VWKjo5W586dNXjwYL3xxhvKyckpdY6PP/5YUVFRmjlzpvbs2aOJEyeqR48eateuXVEQlqSffvpJDzzwgC655BJ16NBBvXr10pQpU/Tbb7+VOF+/fv00a9YsSdKUKVMUFRVV9N/3339fou1//vMf3XTTTYqOjlanTp00aNAgzZkzRydPnnTJ38+uXbvUq1cvdejQQStXrnTJOQGYR8gD4FF//fWXJCkgIEBSQRgLCgqSJH3wwQfVPn+TJk0kSYsXL5ZhGNU+X0UKX4skBQYGSpIeeeQRrVq1SvXq1dMll1yirl276o8//tArr7yiO++8U3l5eWWea8+ePRo6dKi2bdum7t27q2fPnqpVq+CKmtWrV+v666/Xp59+qvDwcPXr10/h4eH6+OOPdf311+vnn38uOs8VV1yhdu3aSSq4jnDIkCFF/xUf2Xz88cc1adIk7dixQzExMerTp4/S09P18ssva+TIkTpx4kS1/m5++OEHjRgxQllZWXr99dd19dVXV+t8AJzHNXkAPMYwDK1fv17S6TtwAwMDdc011+jDDz/USy+9pFWrVqlPnz7q3LmzunTpUmr6tjLDhg3TK6+8ooULF+q7775T//791blzZ0VHR7tkpLC4devWSSoIlg0bNpQkPfXUU+rRo4eCg4OL2mVlZenBBx/UunXr9Mknn+jaa68tda7PPvtMI0aM0NSpU+Xv7190fP/+/Zo0aZJq166tefPmlbhh5D//+Y8mTZqkKVOm6KOPPpIkTZo0STNnzlRKSkqp6wgLrV69WosXL1aTJk20YMGCohtKsrKyNGbMGCUmJmrGjBl6+OGHq/T3snHjRt17772qVauW3n77bXXt2rVK5wFQPYzkAXC7vLw87d27V1OnTtUPP/ygwMBAXX/99UWPT506Vddcc40cDoeSk5M1e/Zs3XnnnerevbtuvfVWff3116af684779Qdd9yhWrVq6ddff9XcuXM1btw49ejRo2g0rLqOHDmipUuX6sUXX5Qk3XTTTUWPxcbGlgh4khQSEqIpU6ZIkr788ssyzxkWFqYHH3ywRMCTpPnz5+u///2vHnrooVJ3BF977bWKjY3V9u3bnbqZZMGCBZKke++9tyjgFfbziSeekMPh0KJFi8qcXq7MypUrdffdd6tu3bpasGABAQ/wIkbyALjNmevlSVLdunX1/PPPq3nz5kXH6tSpoxdeeEF33XWXVq9ercTERG3fvl1Hjx5VfHy84uPjNXnyZN1xxx2VPqe/v78mT56skSNHatWqVdq8ebO2bdum9PR0JScn64EHHtCWLVv06KOPOvVapkyZUhTUihsyZIjGjBlT4tjevXsVFxenffv2KTs7W4ZhFE0d7927t8zz9+jRQ3Xq1Cl1/Ntvv5Uk9e/fv8yf69q1q9auXavt27fr/PPPr/R15ObmasuWLXI4HBo0aFCpxwuv30tJSVFKSoo6duxY6TkLffDBB5o2bZrOPvtszZs3r0SNAXgeIQ+A2xSuk1d8MeTLL79cDRo0KLN969atdffdd0uS8vPz9cMPP+jll19WQkKCXnrpJV1++eWKjIw09dxnnXWW7rjjjqJgmJKSopkzZ2rt2rVasGCBrrrqKqdGmYqvkxcYGKjIyEj17t27xALNhmHo+eef17vvvlvu9YDFr+M7s79lSUtLk1RwZ3JFCm/8qMzRo0eVm5ur8PDwomshzxQZGamUlBQdOnTI1DmlghtpnnzySQUFBWn+/Pmm6wTAfQh5ANzmzHXynOHn56euXbvqrbfe0lVXXaXff/9dX3/9tW688cYqna9du3aaOXOmbrjhBm3fvl1xcXFOhbzyrm8rbuXKlZo3b56aNm2qqVOnqnPnzgoLC1NAQIBycnJ0wQUXlPuz5QWuvLw8ORyOMq/jK+7cc8+t/EU46cxdSSoSFhamNm3aaNOmTXr++ef18ssvF904AsA7eAcC8Gl16tRRx44d9fvvv5serSqPn5+fLrzwQm3fvr3a5yrLF198IUl68sknixZ6LrR///4qnbNp06bat2+fHn30UYWEhFS7jw0bNlRAQID+/PNPnThxQrVr1y7V5sCBA5Lk1HZtgYGBeuONNzRmzBitXr1aDz30kF566aVS1xgC8BxuvADg8/bt2ydJioiIqLRtZcumOHMuZx07dkxS2VOvn3/+eZXOefHFF0tSiTXzKlO4PE1Zy7UEBASoc+fOMgyjzJtQdu3apZSUFNWtW7doKRazateurTlz5qhbt25auXKlHn74YeXn5zt1DgCuQ8gD4FXHjh3TsGHD9MUXX5TaNSI3N1evv/66du7cqdq1a+uSSy6p9HzDhw/XsmXL9N///rfEccMwtHTpUn355ZdyOBy67LLLXPo6JKlly5aSSq/Rl5CQoLfffrtK5xw1apRq166t6dOn66uvvir1+NGjR/X++++XWNeuMMD++uuvZZ5zxIgRkgr2uC0+wpiVlaWnn35ahmHoxhtvLFr7zxl16tTRnDlzFBMTo08//VSTJ08m6AFewnQtAK/btm2bxo8fr5CQEJ1//vkKDw/XsWPHtHPnTqWnp8vf319PPvmkqenDX375RZMnT9aTTz6p888/X02bNlV2drZ+/vnnot0h7rvvPqdHqcy49dZbtWzZMi1cuFDx8fGKiorSwYMHlZiYqDvuuEPvvPOO0+ds2bKlXnzxRT300EO6++671apVK51zzjkyDEMHDhzQ7t27lZubq0GDBhVNvfbs2VNBQUF677339PPPPysiIkIOh0N///vf1bp1a1155ZW68cYbtXjxYg0cOFAXXXSRateurfj4eB05ckSdO3fWvffeW+W/h+DgYL355psaPXq0li9fLn9/f/3zn/906ho/ANVHyAPgVfXq1dOiRYu0ceNGxcfH67ffflNSUpL8/f111lln6dJLL9WIESNMh7J///vf2rBhgzZt2qT9+/drx44dMgxD4eHhGjhwoG666SbFxMS45bW0atVKH330kV588UVt27ZNX331lVq1aqVp06bphhtuqFLIk6TLL79cbdu21TvvvKNvv/1WGzZsUFBQkCIiIjRo0CBdccUVJRaNbtKkiV5//XXNnj1biYmJXtw92wAAAKhJREFUys7OliQNHjxYrVu3liRNmzZN0dHRWrRokeLj45WXl6fmzZtr5MiRuv3228u8Vs8ZdevW1dy5czV69Gh9/PHH8vf319NPP03QAzzIYbh73x8AAAB4HNfkAQAA2BAhDwAAwIYIeQAAADZEyAMAALAhQh4AAIANEfIAAABsiJAHAABgQ4Q8AAAAGyLkAQAA2BAhDwAAwIYIeQAAADZEyAMAALCh/wf5FZxh10M3ewAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -2346,16 +2447,16 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 47, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" }, @@ -2396,7 +2497,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -2407,7 +2508,7 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bM, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1174.61draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1437.29draws/s]\n" ] } ], @@ -2427,7 +2528,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -2436,8 +2537,8 @@ "Computed from 1000 by 50 log-likelihood matrix\n", "\n", " Estimate SE\n", - "deviance_loo 132.82 10.71\n", - "p_loo 5.18 -\n", + "deviance_loo 133.53 10.67\n", + "p_loo 5.52 -\n", "------\n", "\n", "Pareto k diagnostic values:\n", @@ -2448,7 +2549,7 @@ " (1, Inf) (very bad) 0 0.0%" ] }, - "execution_count": 49, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -2459,23 +2560,23 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([],\n", + "array([],\n", " dtype=object)" ] }, - "execution_count": 50, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -2487,6 +2588,33 @@ "source": [ "az.plot_forest([m_5_3_trace, m_5_3t_trace], model_names=['m_5_3', 'm_5_3t'], figsize=[6, 3.5])" ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "statsmodels.api 0.11.1\n", + "numpy 1.18.1\n", + "pandas 1.0.3\n", + "pymc3 3.8\n", + "arviz 0.7.0\n", + "last updated: Mon May 18 2020 \n", + "\n", + "CPython 3.7.6\n", + "IPython 7.13.0\n", + "watermark 2.0.2\n" + ] + } + ], + "source": [ + "%load_ext watermark\n", + "%watermark -n -u -v -iv -w" + ] } ], "metadata": { From ee6bddb45aaa43804973b09bf517c4a55577eb8a Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 18 May 2020 21:22:25 +0100 Subject: [PATCH 08/15] run black_nbconvert --- Rethinking_2/Chp_07.ipynb | 512 +++++++++++++++++++++----------------- 1 file changed, 288 insertions(+), 224 deletions(-) diff --git a/Rethinking_2/Chp_07.ipynb b/Rethinking_2/Chp_07.ipynb index 5ecb128..870858a 100644 --- a/Rethinking_2/Chp_07.ipynb +++ b/Rethinking_2/Chp_07.ipynb @@ -19,7 +19,7 @@ "import pandas as pd\n", "import pymc3 as pm\n", "import statsmodels.api as sm\n", - "import statsmodels.formula.api as smf \n", + "import statsmodels.formula.api as smf\n", "from patsy import dmatrix\n", "from scipy import stats\n", "from scipy.special import logsumexp" @@ -139,11 +139,21 @@ } ], "source": [ - "brains = pd.DataFrame.from_dict({\n", - " 'species': [\"afarensis\",\"africanus\",\"habilis\",\"boisei\",\"rudolfensis\",\"ergaster\",\"sapiens\"],\n", - " 'brain': [438 , 452 , 612, 521, 752, 871, 1350], # volume in cc\n", - " 'mass': [37.0 , 35.5 , 34.5 , 41.5 , 55.5 , 61.0 , 53.5] # mass in kg\n", - "})\n", + "brains = pd.DataFrame.from_dict(\n", + " {\n", + " \"species\": [\n", + " \"afarensis\",\n", + " \"africanus\",\n", + " \"habilis\",\n", + " \"boisei\",\n", + " \"rudolfensis\",\n", + " \"ergaster\",\n", + " \"sapiens\",\n", + " ],\n", + " \"brain\": [438, 452, 612, 521, 752, 871, 1350], # volume in cc\n", + " \"mass\": [37.0, 35.5, 34.5, 41.5, 55.5, 61.0, 53.5], # mass in kg\n", + " }\n", + ")\n", "\n", "brains" ] @@ -181,15 +191,15 @@ "\n", "# point labels\n", "for i, r in brains.iterrows():\n", - " if r.species == 'afarensis':\n", - " plt.text(r.mass + .5, r.brain, r.species, ha='left', va='center')\n", - " elif r.species == 'sapiens':\n", - " plt.text(r.mass, r.brain - 25, r.species, ha='center', va='top')\n", + " if r.species == \"afarensis\":\n", + " plt.text(r.mass + 0.5, r.brain, r.species, ha=\"left\", va=\"center\")\n", + " elif r.species == \"sapiens\":\n", + " plt.text(r.mass, r.brain - 25, r.species, ha=\"center\", va=\"top\")\n", " else:\n", - " plt.text(r.mass, r.brain + 25, r.species, ha='center')\n", + " plt.text(r.mass, r.brain + 25, r.species, ha=\"center\")\n", "\n", - "plt.xlabel('body mass (kg)')\n", - "plt.ylabel('brain volume (cc)')" + "plt.xlabel(\"body mass (kg)\")\n", + "plt.ylabel(\"brain volume (cc)\")" ] }, { @@ -205,8 +215,10 @@ "metadata": {}, "outputs": [], "source": [ - "brains.loc[:, 'mass_std'] = (brains.loc[:, 'mass'] - brains.loc[:, 'mass'].mean()) / brains.loc[:, 'mass'].std()\n", - "brains.loc[:, 'brain_std'] = brains.loc[:, 'brain'] / brains.loc[:, 'brain'].max()" + "brains.loc[:, \"mass_std\"] = (\n", + " brains.loc[:, \"mass\"] - brains.loc[:, \"mass\"].mean()\n", + ") / brains.loc[:, \"mass\"].std()\n", + "brains.loc[:, \"brain_std\"] = brains.loc[:, \"brain\"] / brains.loc[:, \"brain\"].max()" ] }, { @@ -327,7 +339,7 @@ } ], "source": [ - "m_7_1 = smf.ols('brain_std ~ mass_std', data=brains).fit()\n", + "m_7_1 = smf.ols(\"brain_std ~ mass_std\", data=brains).fit()\n", "m_7_1.summary()" ] }, @@ -434,11 +446,11 @@ } ], "source": [ - "p, cov = np.polyfit(brains.loc[:, 'mass_std'], brains.loc[:, 'brain_std'], 1, cov=True)\n", + "p, cov = np.polyfit(brains.loc[:, \"mass_std\"], brains.loc[:, \"brain_std\"], 1, cov=True)\n", "\n", "post = stats.multivariate_normal(p, cov).rvs(1000)\n", "\n", - "az.summary({k:v for k, v in zip('ba', post.T)})" + "az.summary({k: v for k, v in zip(\"ba\", post.T)})" ] }, { @@ -495,6 +507,7 @@ "def R2_is_bad(model):\n", " return 1 - model.resid.var() / brains.brain_std.var()\n", "\n", + "\n", "R2_is_bad(m_7_1)" ] }, @@ -618,7 +631,7 @@ } ], "source": [ - "m_7_2 = smf.ols('brain_std ~ mass_std + I(mass_std**2)', data=brains).fit()\n", + "m_7_2 = smf.ols(\"brain_std ~ mass_std + I(mass_std**2)\", data=brains).fit()\n", "m_7_2.summary()" ] }, @@ -635,9 +648,17 @@ "metadata": {}, "outputs": [], "source": [ - "m_7_3 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3)', data=brains).fit()\n", - "m_7_4 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4)', data=brains).fit()\n", - "m_7_5 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5)', data=brains).fit()" + "m_7_3 = smf.ols(\n", + " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3)\", data=brains\n", + ").fit()\n", + "m_7_4 = smf.ols(\n", + " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4)\",\n", + " data=brains,\n", + ").fit()\n", + "m_7_5 = smf.ols(\n", + " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5)\",\n", + " data=brains,\n", + ").fit()" ] }, { @@ -653,7 +674,10 @@ "metadata": {}, "outputs": [], "source": [ - "m_7_6 = smf.ols('brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5) + I(mass_std**6)', data=brains).fit()" + "m_7_6 = smf.ols(\n", + " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5) + I(mass_std**6)\",\n", + " data=brains,\n", + ").fit()" ] }, { @@ -685,32 +709,32 @@ ], "source": [ "models = [m_7_1, m_7_2, m_7_3, m_7_4, m_7_5, m_7_6]\n", - "names = ['m_7_1', 'm_7_2', 'm_7_3', 'm_7_4', 'm_7_5', 'm_7_6']\n", + "names = [\"m_7_1\", \"m_7_2\", \"m_7_3\", \"m_7_4\", \"m_7_5\", \"m_7_6\"]\n", "\n", "mass_plot = np.linspace(33, 62, 100)\n", "mass_new = (mass_plot - brains.mass.mean()) / brains.mass.std()\n", "\n", - "fig, axs = plt.subplots(3, 2, figsize=[6, 8.5], sharex=True, sharey='row')\n", + "fig, axs = plt.subplots(3, 2, figsize=[6, 8.5], sharex=True, sharey=\"row\")\n", "\n", "for model, name, ax in zip(models, names, axs.flat):\n", - " prediction = model.get_prediction({'mass_std': mass_new})\n", + " prediction = model.get_prediction({\"mass_std\": mass_new})\n", " pred = prediction.summary_frame(alpha=0.11) * brains.brain.max()\n", "\n", - " ax.plot(mass_plot, pred['mean'])\n", - " ax.fill_between(mass_plot, pred['mean_ci_lower'], pred['mean_ci_upper'], alpha=0.3)\n", - " ax.scatter(brains.mass, brains.brain, color='C0', s=15)\n", - " \n", - " ax.set_title(f'{name}: R^2: {model.rsquared:.2f}', loc='left', fontsize=11)\n", - " \n", + " ax.plot(mass_plot, pred[\"mean\"])\n", + " ax.fill_between(mass_plot, pred[\"mean_ci_lower\"], pred[\"mean_ci_upper\"], alpha=0.3)\n", + " ax.scatter(brains.mass, brains.brain, color=\"C0\", s=15)\n", + "\n", + " ax.set_title(f\"{name}: R^2: {model.rsquared:.2f}\", loc=\"left\", fontsize=11)\n", + "\n", " if ax.is_first_col():\n", - " ax.set_ylabel('brain volume (cc)')\n", - " \n", + " ax.set_ylabel(\"brain volume (cc)\")\n", + "\n", " if ax.is_last_row():\n", - " ax.set_xlabel('body mass (kg)')\n", - " \n", + " ax.set_xlabel(\"body mass (kg)\")\n", + "\n", " if ax.is_last_row():\n", " ax.set_ylim(-500, 2100)\n", - " ax.axhline(0, ls='dashed', c='k', lw=1)\n", + " ax.axhline(0, ls=\"dashed\", c=\"k\", lw=1)\n", " ax.set_yticks([0, 450, 1300])\n", " else:\n", " ax.set_ylim(300, 1600)\n", @@ -756,37 +780,47 @@ "\n", "# this code taken from PyMC3 port of Rethinking/Chp_06.ipynb\n", "\n", - "f, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(8,3))\n", + "f, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(8, 3))\n", "ax1.scatter(brains.mass, brains.brain, alpha=0.8)\n", "ax2.scatter(brains.mass, brains.brain, alpha=0.8)\n", "for i in range(len(brains)):\n", " d_new = brains.drop(brains.index[-i]) # drop each data point in turn\n", "\n", " # first order model\n", - " m0 = smf.ols('brain ~ mass', d_new).fit()\n", + " m0 = smf.ols(\"brain ~ mass\", d_new).fit()\n", " # need to calculate regression line\n", " # need to add intercept term explicitly\n", " x = sm.add_constant(d_new.mass) # add constant to new data frame with mass\n", - " x_pred = pd.DataFrame({'mass': np.linspace(x.mass.min() - 10, x.mass.max() + 10, 50)}) # create linspace dataframe\n", - " x_pred2 = sm.add_constant(x_pred) # add constant to newly created linspace dataframe\n", + " x_pred = pd.DataFrame(\n", + " {\"mass\": np.linspace(x.mass.min() - 10, x.mass.max() + 10, 50)}\n", + " ) # create linspace dataframe\n", + " x_pred2 = sm.add_constant(\n", + " x_pred\n", + " ) # add constant to newly created linspace dataframe\n", " y_pred = m0.predict(x_pred2) # calculate predicted values\n", - " ax1.plot(x_pred, y_pred, 'gray', alpha=.5)\n", - " ax1.set_ylabel('body mass (kg)', fontsize=12);\n", - " ax1.set_xlabel('brain volume (cc)', fontsize=12)\n", - " ax1.set_title('Underfit model')\n", - " \n", + " ax1.plot(x_pred, y_pred, \"gray\", alpha=0.5)\n", + " ax1.set_ylabel(\"body mass (kg)\", fontsize=12)\n", + " ax1.set_xlabel(\"brain volume (cc)\", fontsize=12)\n", + " ax1.set_title(\"Underfit model\")\n", + "\n", " # fifth order model\n", - " m1 = smf.ols('brain ~ mass + I(mass**2) + I(mass**3) + I(mass**4) + I(mass**5)', data=d_new).fit()\n", + " m1 = smf.ols(\n", + " \"brain ~ mass + I(mass**2) + I(mass**3) + I(mass**4) + I(mass**5)\", data=d_new\n", + " ).fit()\n", " x = sm.add_constant(d_new.mass) # add constant to new data frame with mass\n", - " x_pred = pd.DataFrame({'mass': np.linspace(x.mass.min()-10, x.mass.max()+10, 200)}) # create linspace dataframe\n", - " x_pred2 = sm.add_constant(x_pred) # add constant to newly created linspace dataframe\n", + " x_pred = pd.DataFrame(\n", + " {\"mass\": np.linspace(x.mass.min() - 10, x.mass.max() + 10, 200)}\n", + " ) # create linspace dataframe\n", + " x_pred2 = sm.add_constant(\n", + " x_pred\n", + " ) # add constant to newly created linspace dataframe\n", " y_pred = m1.predict(x_pred2) # calculate predicted values from fitted model\n", - " ax2.plot(x_pred, y_pred, 'gray', alpha=.5)\n", - " ax2.set_xlim(32,62)\n", + " ax2.plot(x_pred, y_pred, \"gray\", alpha=0.5)\n", + " ax2.set_xlim(32, 62)\n", " ax2.set_ylim(-250, 2200)\n", - " ax2.set_ylabel('body mass (kg)', fontsize=12);\n", - " ax2.set_xlabel('brain volume (cc)', fontsize=12)\n", - " ax2.set_title('Overfit model')" + " ax2.set_ylabel(\"body mass (kg)\", fontsize=12)\n", + " ax2.set_xlabel(\"brain volume (cc)\", fontsize=12)\n", + " ax2.set_title(\"Overfit model\")" ] }, { @@ -847,13 +881,13 @@ "# Figure 7.5\n", "p = np.array([0.3, 0.7])\n", "q = np.arange(0.01, 1, 0.01)\n", - "DKL = np.sum(p * np.log(p / np.array([q, 1-q]).T), 1)\n", + "DKL = np.sum(p * np.log(p / np.array([q, 1 - q]).T), 1)\n", "\n", "plt.plot(q, DKL)\n", - "plt.xlabel('q[1]')\n", - "plt.ylabel('Divergence of q from p')\n", - "plt.axvline(0.3, ls='dashed', color='k')\n", - "plt.text(0.315, 1.22, 'q = p')" + "plt.xlabel(\"q[1]\")\n", + "plt.ylabel(\"Divergence of q from p\")\n", + "plt.axvline(0.3, ls=\"dashed\", color=\"k\")\n", + "plt.text(0.315, 1.22, \"q = p\")" ] }, { @@ -871,9 +905,11 @@ "source": [ "n_samples = 3000\n", "\n", - "intercept, slope = stats.multivariate_normal(m_7_1.params, m_7_1.cov_params()).rvs(n_samples).T\n", + "intercept, slope = (\n", + " stats.multivariate_normal(m_7_1.params, m_7_1.cov_params()).rvs(n_samples).T\n", + ")\n", "\n", - "pred = intercept + slope * brains.mass_std.values.reshape(-1,1)\n", + "pred = intercept + slope * brains.mass_std.values.reshape(-1, 1)\n", "\n", "n, ns = pred.shape" ] @@ -898,7 +934,7 @@ "source": [ "# PyMC3 does not have a way to calculate LPPD directly, so we use the approach from 7.14\n", "\n", - "sigmas = (np.sum((pred - brains.brain_std.values.reshape(-1,1))**2, 0) / 7)**0.5\n", + "sigmas = (np.sum((pred - brains.brain_std.values.reshape(-1, 1)) ** 2, 0) / 7) ** 0.5\n", "ll = np.zeros((n, ns))\n", "for s in range(ns):\n", " logprob = stats.norm.logpdf(brains.brain_std, pred[:, s], sigmas[s])\n", @@ -927,15 +963,19 @@ "# make an lppd function that can be applied to all models (from code above)\n", "def lppd(model, n_samples=1e4):\n", " n_samples = int(n_samples)\n", - " \n", + "\n", " pars = stats.multivariate_normal(model.params, model.cov_params()).rvs(n_samples).T\n", - " dmat = dmatrix(model.model.data.design_info, brains, return_type='dataframe').values # get model design matrix\n", + " dmat = dmatrix(\n", + " model.model.data.design_info, brains, return_type=\"dataframe\"\n", + " ).values # get model design matrix\n", " pred = dmat.dot(pars)\n", "\n", " n, ns = pred.shape\n", "\n", " # this approach for calculating lppd isfrom 7.14\n", - " sigmas = (np.sum((pred - brains.brain_std.values.reshape(-1,1))**2, 0) / 7)**0.5\n", + " sigmas = (\n", + " np.sum((pred - brains.brain_std.values.reshape(-1, 1)) ** 2, 0) / 7\n", + " ) ** 0.5\n", " ll = np.zeros((n, ns))\n", " for s in range(ns):\n", " logprob = stats.norm.logpdf(brains.brain_std, pred[:, s], sigmas[s])\n", @@ -989,7 +1029,7 @@ "outputs": [], "source": [ "def sim_train_test(N=20, k=3, rho=[0.15, -0.4], b_sigma=100):\n", - " \n", + "\n", " n_dim = 1 + len(rho)\n", " if n_dim < k:\n", " n_dim = k\n", @@ -997,36 +1037,45 @@ " Rho[0, 1:3:1] = rho\n", " i_lower = np.tril_indices(n_dim, -1)\n", " Rho[i_lower] = Rho.T[i_lower]\n", - " \n", + "\n", " x_train = stats.multivariate_normal.rvs(cov=Rho, size=N)\n", " x_test = stats.multivariate_normal.rvs(cov=Rho, size=N)\n", - " \n", - " mm_train = np.ones((N,1))\n", - " \n", + "\n", + " mm_train = np.ones((N, 1))\n", + "\n", " np.concatenate([mm_train, x_train[:, 1:k]], axis=1)\n", - " \n", - " #Using pymc3\n", - " \n", + "\n", + " # Using pymc3\n", + "\n", " with pm.Model() as m_sim:\n", - " vec_V = pm.MvNormal('vec_V', mu=0, cov=b_sigma * np.eye(n_dim), \n", - " shape=(1, n_dim), testval=np.random.randn(1, n_dim)*.01)\n", - " mu = pm.Deterministic('mu', 0 + pm.math.dot(x_train, vec_V.T))\n", - " y = pm.Normal('y', mu=mu, sd=1, observed=x_train[:, 0])\n", + " vec_V = pm.MvNormal(\n", + " \"vec_V\",\n", + " mu=0,\n", + " cov=b_sigma * np.eye(n_dim),\n", + " shape=(1, n_dim),\n", + " testval=np.random.randn(1, n_dim) * 0.01,\n", + " )\n", + " mu = pm.Deterministic(\"mu\", 0 + pm.math.dot(x_train, vec_V.T))\n", + " y = pm.Normal(\"y\", mu=mu, sd=1, observed=x_train[:, 0])\n", "\n", " with m_sim:\n", " trace_m_sim = pm.sample()\n", - " \n", - " vec = pm.summary(trace_m_sim)['mean'][:n_dim]\n", + "\n", + " vec = pm.summary(trace_m_sim)[\"mean\"][:n_dim]\n", " vec = np.array([i for i in vec]).reshape(n_dim, -1)\n", - " \n", - " dev_train = - 2 * sum(stats.norm.logpdf(x_train, loc = np.matmul(x_train, vec), scale = 1)) \n", - " \n", - " mm_test = np.ones((N,1))\n", - " \n", - " mm_test = np.concatenate([mm_test, x_test[:, 1:k +1]], axis=1)\n", - " \n", - " dev_test = - 2 * sum(stats.norm.logpdf(x_test[:,0], loc = np.matmul(mm_test, vec), scale = 1)) \n", - " \n", + "\n", + " dev_train = -2 * sum(\n", + " stats.norm.logpdf(x_train, loc=np.matmul(x_train, vec), scale=1)\n", + " )\n", + "\n", + " mm_test = np.ones((N, 1))\n", + "\n", + " mm_test = np.concatenate([mm_test, x_test[:, 1 : k + 1]], axis=1)\n", + "\n", + " dev_test = -2 * sum(\n", + " stats.norm.logpdf(x_test[:, 0], loc=np.matmul(mm_test, vec), scale=1)\n", + " )\n", + "\n", " return np.mean(dev_train), np.mean(dev_test)" ] }, @@ -1365,7 +1414,12 @@ " for i in range(1, tries + 1):\n", " tr, te = sim_train_test(N=n, k=param)\n", " train.append(tr), test.append(te)\n", - " r[j -2, :] = np.mean(train), np.std(train, ddof=1), np.mean(test), np.std(test, ddof=1)" + " r[j - 2, :] = (\n", + " np.mean(train),\n", + " np.std(train, ddof=1),\n", + " np.mean(test),\n", + " np.std(test, ddof=1),\n", + " )" ] }, { @@ -1404,27 +1458,39 @@ "num_param = np.arange(2, param + 1)\n", "\n", "plt.figure(figsize=(10, 6))\n", - "plt.scatter(num_param, r[:, 0], color='C0')\n", + "plt.scatter(num_param, r[:, 0], color=\"C0\")\n", "plt.xticks(num_param)\n", "\n", "for j in range(param - 1):\n", - " plt.vlines(num_param[j], r[j,0] - r[j, 1], r[j,0] + r[j,1], color='mediumblue', \n", - " zorder=-1, alpha=0.80)\n", + " plt.vlines(\n", + " num_param[j],\n", + " r[j, 0] - r[j, 1],\n", + " r[j, 0] + r[j, 1],\n", + " color=\"mediumblue\",\n", + " zorder=-1,\n", + " alpha=0.80,\n", + " )\n", "\n", - "plt.scatter(num_param + 0.1, r[:, 2], facecolors='none', edgecolors='k')\n", + "plt.scatter(num_param + 0.1, r[:, 2], facecolors=\"none\", edgecolors=\"k\")\n", "\n", "for j in range(param - 1):\n", - " plt.vlines(num_param[j] + 0.1, r[j,2] - r[j, 3], r[j,2] + r[j,3], color='k', \n", - " zorder=-2, alpha=0.70) \n", + " plt.vlines(\n", + " num_param[j] + 0.1,\n", + " r[j, 2] - r[j, 3],\n", + " r[j, 2] + r[j, 3],\n", + " color=\"k\",\n", + " zorder=-2,\n", + " alpha=0.70,\n", + " )\n", "\n", "dist = 0.20\n", - "plt.text(num_param[1] - dist, r[1, 0] - dist, 'in', color='C0', fontsize=13)\n", - "plt.text(num_param[1] + dist, r[1, 2] - dist, 'out', color='k', fontsize=13)\n", - "plt.text(num_param[1] + dist, r[1, 2] + r[1,3] - dist, '+1 SD', color='k', fontsize=10)\n", - "plt.text(num_param[1] + dist, r[1, 2] - r[1,3] - dist, '+1 SD', color='k', fontsize=10)\n", - "plt.xlabel('Number of parameters', fontsize=14)\n", - "plt.ylabel('Deviance', fontsize=14)\n", - "plt.title('N = {}'.format(n), fontsize=14)\n", + "plt.text(num_param[1] - dist, r[1, 0] - dist, \"in\", color=\"C0\", fontsize=13)\n", + "plt.text(num_param[1] + dist, r[1, 2] - dist, \"out\", color=\"k\", fontsize=13)\n", + "plt.text(num_param[1] + dist, r[1, 2] + r[1, 3] - dist, \"+1 SD\", color=\"k\", fontsize=10)\n", + "plt.text(num_param[1] + dist, r[1, 2] - r[1, 3] - dist, \"+1 SD\", color=\"k\", fontsize=10)\n", + "plt.xlabel(\"Number of parameters\", fontsize=14)\n", + "plt.ylabel(\"Deviance\", fontsize=14)\n", + "plt.title(\"N = {}\".format(n), fontsize=14)\n", "plt.show()" ] }, @@ -1450,7 +1516,7 @@ "metadata": {}, "outputs": [], "source": [ - "data = pd.read_csv('Data/cars.csv', sep=',', index_col=0)" + "data = pd.read_csv(\"Data/cars.csv\", sep=\",\", index_col=0)" ] }, { @@ -1471,12 +1537,12 @@ } ], "source": [ - "with pm.Model() as m :\n", - " a = pm.Normal('a', mu=0, sd=100)\n", - " b = pm.Normal('b', mu=0, sd=10)\n", - " sigma = pm.Uniform('sigma', 0, 30)\n", - " mu = pm.Deterministic('mu', a + b * data['speed'])\n", - " dist = pm.Normal('dist', mu=mu, sd=sigma, observed = data['dist'])\n", + "with pm.Model() as m:\n", + " a = pm.Normal(\"a\", mu=0, sd=100)\n", + " b = pm.Normal(\"b\", mu=0, sd=10)\n", + " sigma = pm.Uniform(\"sigma\", 0, 30)\n", + " mu = pm.Deterministic(\"mu\", a + b * data[\"speed\"])\n", + " dist = pm.Normal(\"dist\", mu=mu, sd=sigma, observed=data[\"dist\"])\n", " m = pm.sample(5000, tune=10000)" ] }, @@ -1498,9 +1564,9 @@ "logprob = np.zeros((n_cases, n_samples))\n", "\n", "for s in range(0, n_samples):\n", - " mu = m['a'][s] + m['b'][s] * data['speed']\n", - " p_ = stats.norm.logpdf(data['dist'], loc=mu, scale=m['sigma'][s])\n", - " logprob[:,s] = p_" + " mu = m[\"a\"][s] + m[\"b\"][s] * data[\"speed\"]\n", + " p_ = stats.norm.logpdf(data[\"dist\"], loc=mu, scale=m[\"sigma\"][s])\n", + " logprob[:, s] = p_" ] }, { @@ -1564,7 +1630,7 @@ } ], "source": [ - "- 2 * (sum(lppd) - sum(pWAIC))" + "-2 * (sum(lppd) - sum(pWAIC))" ] }, { @@ -1591,8 +1657,8 @@ } ], "source": [ - "waic_vec = - 2 * (lppd - pWAIC)\n", - "(n_cases * np.var(waic_vec))**0.5" + "waic_vec = -2 * (lppd - pWAIC)\n", + "(n_cases * np.var(waic_vec)) ** 0.5" ] }, { @@ -1639,49 +1705,50 @@ "# simulate initial heights\n", "h0 = np.random.normal(10, 2, N)\n", "# assign treatments and simulate fungus and growth\n", - "treatment = np.repeat([0,1], N/2)\n", + "treatment = np.repeat([0, 1], N / 2)\n", "fungus = np.random.binomial(n=1, p=0.5 - treatment * 0.4, size=N)\n", "h1 = h0 + np.random.normal(5 - 3 * fungus, size=N)\n", "# compose a clean data frame\n", - "d = pd.DataFrame.from_dict({'h0': h0, 'h1': h1, 'treatment': treatment, 'fungus': fungus})\n", + "d = pd.DataFrame.from_dict(\n", + " {\"h0\": h0, \"h1\": h1, \"treatment\": treatment, \"fungus\": fungus}\n", + ")\n", "\n", "with pm.Model() as m_6_6:\n", - " p = pm.Lognormal('p', 0, 0.25)\n", - " \n", - " mu = pm.Deterministic('mu', p * d.h0)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", - " \n", + " p = pm.Lognormal(\"p\", 0, 0.25)\n", + "\n", + " mu = pm.Deterministic(\"mu\", p * d.h0)\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " h1 = pm.Normal(\"h1\", mu=mu, sigma=sigma, observed=d.h1)\n", + "\n", " m_6_6_trace = pm.sample()\n", "\n", "with pm.Model() as m_6_7:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bt = pm.Normal('bt', 0, 0.5)\n", - " bf = pm.Normal('bf', 0, 0.5)\n", - " \n", + " a = pm.Normal(\"a\", 0, 0.2)\n", + " bt = pm.Normal(\"bt\", 0, 0.5)\n", + " bf = pm.Normal(\"bf\", 0, 0.5)\n", + "\n", " p = a + bt * d.treatment + bf * d.fungus\n", - " \n", - " mu = pm.Deterministic('mu', p * d.h0)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", - " \n", + "\n", + " mu = pm.Deterministic(\"mu\", p * d.h0)\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " h1 = pm.Normal(\"h1\", mu=mu, sigma=sigma, observed=d.h1)\n", + "\n", " m_6_7_trace = pm.sample()\n", "\n", "with pm.Model() as m_6_8:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bt = pm.Normal('bt', 0, 0.5)\n", - " \n", + " a = pm.Normal(\"a\", 0, 0.2)\n", + " bt = pm.Normal(\"bt\", 0, 0.5)\n", + "\n", " p = a + bt * d.treatment\n", - " \n", - " mu = pm.Deterministic('mu', p * d.h0)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " h1 = pm.Normal('h1', mu=mu, sigma=sigma, observed=d.h1)\n", - " \n", - " m_6_8_trace = pm.sample()\n", - "\n" + "\n", + " mu = pm.Deterministic(\"mu\", p * d.h0)\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " h1 = pm.Normal(\"h1\", mu=mu, sigma=sigma, observed=d.h1)\n", + "\n", + " m_6_8_trace = pm.sample()" ] }, { @@ -1723,7 +1790,7 @@ } ], "source": [ - "az.waic(m_6_7_trace, m_6_7, scale='deviance')" + "az.waic(m_6_7_trace, m_6_7, scale=\"deviance\")" ] }, { @@ -1829,9 +1896,12 @@ } ], "source": [ - "compare_df = az.compare({'m_6_6' : m_6_6_trace,\n", - " 'm_6_7' : m_6_7_trace,\n", - " 'm_6_8' : m_6_8_trace,}, method='pseudo-BMA', ic='waic', scale='deviance')\n", + "compare_df = az.compare(\n", + " {\"m_6_6\": m_6_6_trace, \"m_6_7\": m_6_7_trace, \"m_6_8\": m_6_8_trace,},\n", + " method=\"pseudo-BMA\",\n", + " ic=\"waic\",\n", + " scale=\"deviance\",\n", + ")\n", "compare_df" ] }, @@ -1868,8 +1938,8 @@ } ], "source": [ - "waic_m_6_7 = az.waic(m_6_7_trace, pointwise=True, scale='deviance')\n", - "waic_m_6_8 = az.waic(m_6_8_trace, pointwise=True, scale='deviance')\n", + "waic_m_6_7 = az.waic(m_6_7_trace, pointwise=True, scale=\"deviance\")\n", + "waic_m_6_8 = az.waic(m_6_8_trace, pointwise=True, scale=\"deviance\")\n", "\n", "# pointwise values are stored in the waic_i attribute.\n", "diff_m_6_7_m_6_8 = waic_m_6_7.waic_i - waic_m_6_8.waic_i\n", @@ -1967,11 +2037,11 @@ } ], "source": [ - "waic_m_6_6 = az.waic(m_6_6_trace, pointwise=True, scale='deviance')\n", + "waic_m_6_6 = az.waic(m_6_6_trace, pointwise=True, scale=\"deviance\")\n", "\n", "diff_m6_6_m6_8 = waic_m_6_6.waic_i - waic_m_6_8.waic_i\n", "\n", - "np.sqrt(1 * np.var( diff_m6_6_m6_8)).values" + "np.sqrt(1 * np.var(diff_m6_6_m6_8)).values" ] }, { @@ -2049,14 +2119,10 @@ } ], "source": [ - "dataset_dict = {\n", - " 'm_6_6' : m_6_6_trace,\n", - " 'm_6_7' : m_6_7_trace,\n", - " 'm_6_8' : m_6_8_trace\n", - "}\n", + "dataset_dict = {\"m_6_6\": m_6_6_trace, \"m_6_7\": m_6_7_trace, \"m_6_8\": m_6_8_trace}\n", "\n", "# compare all models\n", - "s0 = az.compare(dataset_dict, ic='waic', scale='deviance')['dse']\n", + "s0 = az.compare(dataset_dict, ic=\"waic\", scale=\"deviance\")[\"dse\"]\n", "# the output compares each model to the 'best' model - i.e. two models are compared to one.\n", "# to complete a pair-wise comparison we need to compare the remaining two models.\n", "\n", @@ -2064,7 +2130,7 @@ "del dataset_dict[s0.index[0]]\n", "\n", "# re-run compare with the remaining two models\n", - "s1 = az.compare(dataset_dict, ic='waic', scale='deviance')['dse']\n", + "s1 = az.compare(dataset_dict, ic=\"waic\", scale=\"deviance\")[\"dse\"]\n", "\n", "# s0 compares two models to one model, and s1 compares the remaining two models to each other\n", "# now we just nee to wrangle them together!\n", @@ -2075,7 +2141,7 @@ "df_1 = s1.to_frame(name=s1.index[0])\n", "\n", "# merge these dataframes to create a pairwise comparison\n", - "pd.merge(df_0 , df_1, left_index=True, right_index=True)" + "pd.merge(df_0, df_1, left_index=True, right_index=True)" ] }, { @@ -2091,7 +2157,7 @@ "metadata": {}, "outputs": [], "source": [ - "def pairwise_compare(dataset_dict, metric='dse', **kwargs):\n", + "def pairwise_compare(dataset_dict, metric=\"dse\", **kwargs):\n", " \"\"\"\n", " Calculate pairwise comparison of models in dataset_dict.\n", " \n", @@ -2109,13 +2175,13 @@ " \"\"\"\n", " data_dict = dataset_dict.copy()\n", " dicts = []\n", - " \n", + "\n", " while len(data_dict) > 1:\n", " c = az.compare(data_dict, **kwargs)[metric]\n", " dicts.append(c.to_frame(name=c.index[0]))\n", " del data_dict[c.index[0]]\n", - " \n", - " return pd.concat(dicts, axis=1).dropna(how='any')" + "\n", + " return pd.concat(dicts, axis=1).dropna(how=\"any\")" ] }, { @@ -2184,13 +2250,9 @@ } ], "source": [ - "dataset_dict = {\n", - " 'm_6_6' : m_6_6_trace,\n", - " 'm_6_7' : m_6_7_trace,\n", - " 'm_6_8' : m_6_8_trace\n", - "}\n", + "dataset_dict = {\"m_6_6\": m_6_6_trace, \"m_6_7\": m_6_7_trace, \"m_6_8\": m_6_8_trace}\n", "\n", - "pairwise_compare(dataset_dict, metric='dse', ic='waic', scale='deviance')" + "pairwise_compare(dataset_dict, metric=\"dse\", ic=\"waic\", scale=\"deviance\")" ] }, { @@ -2206,11 +2268,11 @@ "metadata": {}, "outputs": [], "source": [ - "d = pd.read_csv('Data/WaffleDivorce.csv', delimiter=';')\n", + "d = pd.read_csv(\"Data/WaffleDivorce.csv\", delimiter=\";\")\n", "\n", - "d['A'] = stats.zscore(d['MedianAgeMarriage'])\n", - "d['D'] = stats.zscore(d['Divorce'])\n", - "d['M'] = stats.zscore(d['Marriage'])" + "d[\"A\"] = stats.zscore(d[\"MedianAgeMarriage\"])\n", + "d[\"D\"] = stats.zscore(d[\"Divorce\"])\n", + "d[\"M\"] = stats.zscore(d[\"Marriage\"])" ] }, { @@ -2243,37 +2305,37 @@ ], "source": [ "with pm.Model() as m_5_1:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bA = pm.Normal('bA', 0, 0.5)\n", - " \n", - " mu = a + bA * d['A']\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " D = pm.Normal('D', mu, sigma, observed=d['D'])\n", - " \n", + " a = pm.Normal(\"a\", 0, 0.2)\n", + " bA = pm.Normal(\"bA\", 0, 0.5)\n", + "\n", + " mu = a + bA * d[\"A\"]\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " D = pm.Normal(\"D\", mu, sigma, observed=d[\"D\"])\n", + "\n", " m_5_1_trace = pm.sample()\n", - " \n", + "\n", "with pm.Model() as m_5_2:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bM = pm.Normal('bM', 0, 0.5)\n", - " \n", - " mu = a + bM * d['M']\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " D = pm.Normal('D', mu, sigma, observed=d['D'])\n", - " \n", + " a = pm.Normal(\"a\", 0, 0.2)\n", + " bM = pm.Normal(\"bM\", 0, 0.5)\n", + "\n", + " mu = a + bM * d[\"M\"]\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " D = pm.Normal(\"D\", mu, sigma, observed=d[\"D\"])\n", + "\n", " m_5_2_trace = pm.sample()\n", - " \n", + "\n", "with pm.Model() as m_5_3:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bA = pm.Normal('bA', 0, 0.5)\n", - " bM = pm.Normal('bM', 0, 0.5)\n", - " \n", - " mu = a + bA * d['A'] + bM * d['M']\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " D = pm.Normal('D', mu, sigma, observed=d['D'])\n", - " \n", + " a = pm.Normal(\"a\", 0, 0.2)\n", + " bA = pm.Normal(\"bA\", 0, 0.5)\n", + " bM = pm.Normal(\"bM\", 0, 0.5)\n", + "\n", + " mu = a + bA * d[\"A\"] + bM * d[\"M\"]\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " D = pm.Normal(\"D\", mu, sigma, observed=d[\"D\"])\n", + "\n", " m_5_3_trace = pm.sample()" ] }, @@ -2388,9 +2450,9 @@ } ], "source": [ - "az.compare({'m_5_1' : m_5_1_trace,\n", - " 'm_5_2' : m_5_2_trace,\n", - " 'm_5_3' : m_5_3_trace}, scale='deviance')" + "az.compare(\n", + " {\"m_5_1\": m_5_1_trace, \"m_5_2\": m_5_2_trace, \"m_5_3\": m_5_3_trace}, scale=\"deviance\"\n", + ")" ] }, { @@ -2436,13 +2498,13 @@ } ], "source": [ - "psis_m_5_3 = az.loo(m_5_3_trace, pointwise=True, scale='deviance')\n", - "waic_m_5_3 = az.waic(m_5_3_trace, pointwise=True, scale='deviance')\n", + "psis_m_5_3 = az.loo(m_5_3_trace, pointwise=True, scale=\"deviance\")\n", + "waic_m_5_3 = az.waic(m_5_3_trace, pointwise=True, scale=\"deviance\")\n", "\n", "# Figure 7.10\n", "plt.scatter(psis_m_5_3.pareto_k, waic_m_5_3.waic_i)\n", - "plt.xlabel('PSIS Pareto k')\n", - "plt.ylabel('WAIC')" + "plt.xlabel(\"PSIS Pareto k\")\n", + "plt.ylabel(\"WAIC\")" ] }, { @@ -2481,11 +2543,11 @@ "\n", "fig, (ax, lax) = plt.subplots(1, 2, figsize=[8, 3.5])\n", "\n", - "ax.plot(v, g.pdf(v), color='b')\n", - "ax.plot(v, t.pdf(v), color='k')\n", + "ax.plot(v, g.pdf(v), color=\"b\")\n", + "ax.plot(v, t.pdf(v), color=\"k\")\n", "\n", - "lax.plot(v, -g.logpdf(v), color='b')\n", - "lax.plot(v, -t.logpdf(v), color='k')" + "lax.plot(v, -g.logpdf(v), color=\"b\")\n", + "lax.plot(v, -t.logpdf(v), color=\"k\")" ] }, { @@ -2514,15 +2576,15 @@ ], "source": [ "with pm.Model() as m_5_3t:\n", - " a = pm.Normal('a', 0, 0.2)\n", - " bA = pm.Normal('bA', 0, 0.5)\n", - " bM = pm.Normal('bM', 0, 0.5)\n", - " \n", - " mu = a + bA * d['A'] + bM * d['M']\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " D = pm.StudentT('D', 2, mu, sigma, observed=d['D'])\n", - " \n", + " a = pm.Normal(\"a\", 0, 0.2)\n", + " bA = pm.Normal(\"bA\", 0, 0.5)\n", + " bM = pm.Normal(\"bM\", 0, 0.5)\n", + "\n", + " mu = a + bA * d[\"A\"] + bM * d[\"M\"]\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " D = pm.StudentT(\"D\", 2, mu, sigma, observed=d[\"D\"])\n", + "\n", " m_5_3t_trace = pm.sample()" ] }, @@ -2555,7 +2617,7 @@ } ], "source": [ - "az.loo(m_5_3t_trace, pointwise=True, scale='deviance')" + "az.loo(m_5_3t_trace, pointwise=True, scale=\"deviance\")" ] }, { @@ -2586,7 +2648,9 @@ } ], "source": [ - "az.plot_forest([m_5_3_trace, m_5_3t_trace], model_names=['m_5_3', 'm_5_3t'], figsize=[6, 3.5])" + "az.plot_forest(\n", + " [m_5_3_trace, m_5_3t_trace], model_names=[\"m_5_3\", \"m_5_3t\"], figsize=[6, 3.5]\n", + ")" ] }, { From 03916e1f1e138ca7f49d83c63155e5f71ec5507d Mon Sep 17 00:00:00 2001 From: Oscar Date: Mon, 18 May 2020 21:29:23 +0100 Subject: [PATCH 09/15] clean start --- Rethinking_2/Chp_07.ipynb | 2705 ------------------------------------- 1 file changed, 2705 deletions(-) delete mode 100644 Rethinking_2/Chp_07.ipynb diff --git a/Rethinking_2/Chp_07.ipynb b/Rethinking_2/Chp_07.ipynb deleted file mode 100644 index 870858a..0000000 --- a/Rethinking_2/Chp_07.ipynb +++ /dev/null @@ -1,2705 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chapter 7" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import arviz as az\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import pandas as pd\n", - "import pymc3 as pm\n", - "import statsmodels.api as sm\n", - "import statsmodels.formula.api as smf\n", - "from patsy import dmatrix\n", - "from scipy import stats\n", - "from scipy.special import logsumexp" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "%config Inline.figure_format = 'retina'\n", - "az.style.use('arviz-darkgrid')\n", - "az.rcParams['stats.credible_interval'] = 0.89 # set credible interval for entire notebook\n", - "np.random.seed(0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.1" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
speciesbrainmass
0afarensis43837.0
1africanus45235.5
2habilis61234.5
3boisei52141.5
4rudolfensis75255.5
5ergaster87161.0
6sapiens135053.5
\n", - "
" - ], - "text/plain": [ - " species brain mass\n", - "0 afarensis 438 37.0\n", - "1 africanus 452 35.5\n", - "2 habilis 612 34.5\n", - "3 boisei 521 41.5\n", - "4 rudolfensis 752 55.5\n", - "5 ergaster 871 61.0\n", - "6 sapiens 1350 53.5" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "brains = pd.DataFrame.from_dict(\n", - " {\n", - " \"species\": [\n", - " \"afarensis\",\n", - " \"africanus\",\n", - " \"habilis\",\n", - " \"boisei\",\n", - " \"rudolfensis\",\n", - " \"ergaster\",\n", - " \"sapiens\",\n", - " ],\n", - " \"brain\": [438, 452, 612, 521, 752, 871, 1350], # volume in cc\n", - " \"mass\": [37.0, 35.5, 34.5, 41.5, 55.5, 61.0, 53.5], # mass in kg\n", - " }\n", - ")\n", - "\n", - "brains" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'brain volume (cc)')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure 7.2\n", - "\n", - "plt.scatter(brains.mass, brains.brain)\n", - "\n", - "# point labels\n", - "for i, r in brains.iterrows():\n", - " if r.species == \"afarensis\":\n", - " plt.text(r.mass + 0.5, r.brain, r.species, ha=\"left\", va=\"center\")\n", - " elif r.species == \"sapiens\":\n", - " plt.text(r.mass, r.brain - 25, r.species, ha=\"center\", va=\"top\")\n", - " else:\n", - " plt.text(r.mass, r.brain + 25, r.species, ha=\"center\")\n", - "\n", - "plt.xlabel(\"body mass (kg)\")\n", - "plt.ylabel(\"brain volume (cc)\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.2" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "brains.loc[:, \"mass_std\"] = (\n", - " brains.loc[:, \"mass\"] - brains.loc[:, \"mass\"].mean()\n", - ") / brains.loc[:, \"mass\"].std()\n", - "brains.loc[:, \"brain_std\"] = brains.loc[:, \"brain\"] / brains.loc[:, \"brain\"].max()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.3\n", - "\n", - "This is modified from [Chapter 6 of 1st Edition](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb) (6.2 - 6.6)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/statsmodels/stats/stattools.py:71: ValueWarning: omni_normtest is not valid with less than 8 observations; 7 samples were given.\n", - " \"samples were given.\" % int(n), ValueWarning)\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
OLS Regression Results
Dep. Variable: brain_std R-squared: 0.490
Model: OLS Adj. R-squared: 0.388
Method: Least Squares F-statistic: 4.807
Date: Mon, 18 May 2020 Prob (F-statistic): 0.0798
Time: 21:09:06 Log-Likelihood: 2.9925
No. Observations: 7 AIC: -1.985
Df Residuals: 5 BIC: -2.093
Df Model: 1
Covariance Type: nonrobust
\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
coef std err t P>|t| [0.025 0.975]
Intercept 0.5287 0.071 7.492 0.001 0.347 0.710
mass_std 0.1671 0.076 2.192 0.080 -0.029 0.363
\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
Omnibus: nan Durbin-Watson: 1.561
Prob(Omnibus): nan Jarque-Bera (JB): 2.372
Skew: 1.399 Prob(JB): 0.305
Kurtosis: 3.548 Cond. No. 1.08


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." - ], - "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: brain_std R-squared: 0.490\n", - "Model: OLS Adj. R-squared: 0.388\n", - "Method: Least Squares F-statistic: 4.807\n", - "Date: Mon, 18 May 2020 Prob (F-statistic): 0.0798\n", - "Time: 21:09:06 Log-Likelihood: 2.9925\n", - "No. Observations: 7 AIC: -1.985\n", - "Df Residuals: 5 BIC: -2.093\n", - "Df Model: 1 \n", - "Covariance Type: nonrobust \n", - "==============================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "------------------------------------------------------------------------------\n", - "Intercept 0.5287 0.071 7.492 0.001 0.347 0.710\n", - "mass_std 0.1671 0.076 2.192 0.080 -0.029 0.363\n", - "==============================================================================\n", - "Omnibus: nan Durbin-Watson: 1.561\n", - "Prob(Omnibus): nan Jarque-Bera (JB): 2.372\n", - "Skew: 1.399 Prob(JB): 0.305\n", - "Kurtosis: 3.548 Cond. No. 1.08\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "\"\"\"" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "m_7_1 = smf.ols(\"brain_std ~ mass_std\", data=brains).fit()\n", - "m_7_1.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.4" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "arviz.stats.stats_utils - WARNING - Shape validation failed: input_shape: (1, 1000), minimum_shape: (chains=2, draws=4)\n", - "arviz.stats.stats_utils - WARNING - Shape validation failed: input_shape: (1, 1000), minimum_shape: (chains=2, draws=4)\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
meansdhpd_5.5%hpd_94.5%mcse_meanmcse_sdess_meaness_sdess_bulkess_tailr_hat
b0.1690.0740.0580.2940.0020.0021021.0956.01020.0944.0NaN
a0.5280.0690.4100.6340.0020.002867.0798.0882.0983.0NaN
\n", - "
" - ], - "text/plain": [ - " mean sd hpd_5.5% hpd_94.5% mcse_mean mcse_sd ess_mean ess_sd \\\n", - "b 0.169 0.074 0.058 0.294 0.002 0.002 1021.0 956.0 \n", - "a 0.528 0.069 0.410 0.634 0.002 0.002 867.0 798.0 \n", - "\n", - " ess_bulk ess_tail r_hat \n", - "b 1020.0 944.0 NaN \n", - "a 882.0 983.0 NaN " - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p, cov = np.polyfit(brains.loc[:, \"mass_std\"], brains.loc[:, \"brain_std\"], 1, cov=True)\n", - "\n", - "post = stats.multivariate_normal(p, cov).rvs(1000)\n", - "\n", - "az.summary({k: v for k, v in zip(\"ba\", post.T)})" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.5" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.49015804794908413" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "1 - m_7_1.resid.var() / brains.brain_std.var()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.6" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.49015804794908413" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "def R2_is_bad(model):\n", - " return 1 - model.resid.var() / brains.brain_std.var()\n", - "\n", - "\n", - "R2_is_bad(m_7_1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.7" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/statsmodels/stats/stattools.py:71: ValueWarning: omni_normtest is not valid with less than 8 observations; 7 samples were given.\n", - " \"samples were given.\" % int(n), ValueWarning)\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
OLS Regression Results
Dep. Variable: brain_std R-squared: 0.536
Model: OLS Adj. R-squared: 0.304
Method: Least Squares F-statistic: 2.310
Date: Mon, 18 May 2020 Prob (F-statistic): 0.215
Time: 21:09:07 Log-Likelihood: 3.3223
No. Observations: 7 AIC: -0.6445
Df Residuals: 4 BIC: -0.8068
Df Model: 2
Covariance Type: nonrobust
\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
coef std err t P>|t| [0.025 0.975]
Intercept 0.6142 0.155 3.950 0.017 0.182 1.046
mass_std 0.1957 0.093 2.101 0.104 -0.063 0.454
I(mass_std ** 2) -0.0998 0.159 -0.629 0.564 -0.540 0.341
\n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "\n", - " \n", - "\n", - "
Omnibus: nan Durbin-Watson: 1.479
Prob(Omnibus): nan Jarque-Bera (JB): 1.016
Skew: 0.901 Prob(JB): 0.602
Kurtosis: 2.514 Cond. No. 4.04


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." - ], - "text/plain": [ - "\n", - "\"\"\"\n", - " OLS Regression Results \n", - "==============================================================================\n", - "Dep. Variable: brain_std R-squared: 0.536\n", - "Model: OLS Adj. R-squared: 0.304\n", - "Method: Least Squares F-statistic: 2.310\n", - "Date: Mon, 18 May 2020 Prob (F-statistic): 0.215\n", - "Time: 21:09:07 Log-Likelihood: 3.3223\n", - "No. Observations: 7 AIC: -0.6445\n", - "Df Residuals: 4 BIC: -0.8068\n", - "Df Model: 2 \n", - "Covariance Type: nonrobust \n", - "====================================================================================\n", - " coef std err t P>|t| [0.025 0.975]\n", - "------------------------------------------------------------------------------------\n", - "Intercept 0.6142 0.155 3.950 0.017 0.182 1.046\n", - "mass_std 0.1957 0.093 2.101 0.104 -0.063 0.454\n", - "I(mass_std ** 2) -0.0998 0.159 -0.629 0.564 -0.540 0.341\n", - "==============================================================================\n", - "Omnibus: nan Durbin-Watson: 1.479\n", - "Prob(Omnibus): nan Jarque-Bera (JB): 1.016\n", - "Skew: 0.901 Prob(JB): 0.602\n", - "Kurtosis: 2.514 Cond. No. 4.04\n", - "==============================================================================\n", - "\n", - "Warnings:\n", - "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", - "\"\"\"" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "m_7_2 = smf.ols(\"brain_std ~ mass_std + I(mass_std**2)\", data=brains).fit()\n", - "m_7_2.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.8" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "m_7_3 = smf.ols(\n", - " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3)\", data=brains\n", - ").fit()\n", - "m_7_4 = smf.ols(\n", - " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4)\",\n", - " data=brains,\n", - ").fit()\n", - "m_7_5 = smf.ols(\n", - " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5)\",\n", - " data=brains,\n", - ").fit()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.9" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "m_7_6 = smf.ols(\n", - " \"brain_std ~ mass_std + I(mass_std**2) + I(mass_std**3) + I(mass_std**4) + I(mass_std**5) + I(mass_std**6)\",\n", - " data=brains,\n", - ").fit()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.10\n", - "\n", - "The chapter gives code to produce the first panel of Figure 7.3. Here, produce the entire figure by looping over models 7.1-7.6.\n", - "\n", - "To sample the posterior predictive on a new independent variable we make use of theano SharedVariable objects, as outlined [here](https://docs.pymc.io/notebooks/data_container.html)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "models = [m_7_1, m_7_2, m_7_3, m_7_4, m_7_5, m_7_6]\n", - "names = [\"m_7_1\", \"m_7_2\", \"m_7_3\", \"m_7_4\", \"m_7_5\", \"m_7_6\"]\n", - "\n", - "mass_plot = np.linspace(33, 62, 100)\n", - "mass_new = (mass_plot - brains.mass.mean()) / brains.mass.std()\n", - "\n", - "fig, axs = plt.subplots(3, 2, figsize=[6, 8.5], sharex=True, sharey=\"row\")\n", - "\n", - "for model, name, ax in zip(models, names, axs.flat):\n", - " prediction = model.get_prediction({\"mass_std\": mass_new})\n", - " pred = prediction.summary_frame(alpha=0.11) * brains.brain.max()\n", - "\n", - " ax.plot(mass_plot, pred[\"mean\"])\n", - " ax.fill_between(mass_plot, pred[\"mean_ci_lower\"], pred[\"mean_ci_upper\"], alpha=0.3)\n", - " ax.scatter(brains.mass, brains.brain, color=\"C0\", s=15)\n", - "\n", - " ax.set_title(f\"{name}: R^2: {model.rsquared:.2f}\", loc=\"left\", fontsize=11)\n", - "\n", - " if ax.is_first_col():\n", - " ax.set_ylabel(\"brain volume (cc)\")\n", - "\n", - " if ax.is_last_row():\n", - " ax.set_xlabel(\"body mass (kg)\")\n", - "\n", - " if ax.is_last_row():\n", - " ax.set_ylim(-500, 2100)\n", - " ax.axhline(0, ls=\"dashed\", c=\"k\", lw=1)\n", - " ax.set_yticks([0, 450, 1300])\n", - " else:\n", - " ax.set_ylim(300, 1600)\n", - " ax.set_yticks([450, 900, 1300])\n", - "\n", - "fig.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.11 - this is R specific notation for dropping rows" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "brains_new = brains.drop(brains.index[-1])" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure 7.4\n", - "\n", - "# this code taken from PyMC3 port of Rethinking/Chp_06.ipynb\n", - "\n", - "f, (ax1, ax2) = plt.subplots(1, 2, sharey=True, figsize=(8, 3))\n", - "ax1.scatter(brains.mass, brains.brain, alpha=0.8)\n", - "ax2.scatter(brains.mass, brains.brain, alpha=0.8)\n", - "for i in range(len(brains)):\n", - " d_new = brains.drop(brains.index[-i]) # drop each data point in turn\n", - "\n", - " # first order model\n", - " m0 = smf.ols(\"brain ~ mass\", d_new).fit()\n", - " # need to calculate regression line\n", - " # need to add intercept term explicitly\n", - " x = sm.add_constant(d_new.mass) # add constant to new data frame with mass\n", - " x_pred = pd.DataFrame(\n", - " {\"mass\": np.linspace(x.mass.min() - 10, x.mass.max() + 10, 50)}\n", - " ) # create linspace dataframe\n", - " x_pred2 = sm.add_constant(\n", - " x_pred\n", - " ) # add constant to newly created linspace dataframe\n", - " y_pred = m0.predict(x_pred2) # calculate predicted values\n", - " ax1.plot(x_pred, y_pred, \"gray\", alpha=0.5)\n", - " ax1.set_ylabel(\"body mass (kg)\", fontsize=12)\n", - " ax1.set_xlabel(\"brain volume (cc)\", fontsize=12)\n", - " ax1.set_title(\"Underfit model\")\n", - "\n", - " # fifth order model\n", - " m1 = smf.ols(\n", - " \"brain ~ mass + I(mass**2) + I(mass**3) + I(mass**4) + I(mass**5)\", data=d_new\n", - " ).fit()\n", - " x = sm.add_constant(d_new.mass) # add constant to new data frame with mass\n", - " x_pred = pd.DataFrame(\n", - " {\"mass\": np.linspace(x.mass.min() - 10, x.mass.max() + 10, 200)}\n", - " ) # create linspace dataframe\n", - " x_pred2 = sm.add_constant(\n", - " x_pred\n", - " ) # add constant to newly created linspace dataframe\n", - " y_pred = m1.predict(x_pred2) # calculate predicted values from fitted model\n", - " ax2.plot(x_pred, y_pred, \"gray\", alpha=0.5)\n", - " ax2.set_xlim(32, 62)\n", - " ax2.set_ylim(-250, 2200)\n", - " ax2.set_ylabel(\"body mass (kg)\", fontsize=12)\n", - " ax2.set_xlabel(\"brain volume (cc)\", fontsize=12)\n", - " ax2.set_title(\"Overfit model\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.12" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.6108643020548935" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p = np.array([0.3, 0.7])\n", - "-np.sum(p * np.log(p))" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.315, 1.22, 'q = p')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure 7.5\n", - "p = np.array([0.3, 0.7])\n", - "q = np.arange(0.01, 1, 0.01)\n", - "DKL = np.sum(p * np.log(p / np.array([q, 1 - q]).T), 1)\n", - "\n", - "plt.plot(q, DKL)\n", - "plt.xlabel(\"q[1]\")\n", - "plt.ylabel(\"Divergence of q from p\")\n", - "plt.axvline(0.3, ls=\"dashed\", color=\"k\")\n", - "plt.text(0.315, 1.22, \"q = p\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.13 & 7.14" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "n_samples = 3000\n", - "\n", - "intercept, slope = (\n", - " stats.multivariate_normal(m_7_1.params, m_7_1.cov_params()).rvs(n_samples).T\n", - ")\n", - "\n", - "pred = intercept + slope * brains.mass_std.values.reshape(-1, 1)\n", - "\n", - "n, ns = pred.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0.62060273, 0.66080837, 0.56608632, 0.62876608, 0.47909493,\n", - " 0.44851465, -0.8559313 ])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# PyMC3 does not have a way to calculate LPPD directly, so we use the approach from 7.14\n", - "\n", - "sigmas = (np.sum((pred - brains.brain_std.values.reshape(-1, 1)) ** 2, 0) / 7) ** 0.5\n", - "ll = np.zeros((n, ns))\n", - "for s in range(ns):\n", - " logprob = stats.norm.logpdf(brains.brain_std, pred[:, s], sigmas[s])\n", - " ll[:, s] = logprob\n", - "\n", - "lppd = np.zeros(n)\n", - "for i in range(n):\n", - " lppd[i] = logsumexp(ll[i]) - np.log(ns)\n", - "\n", - "lppd" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.15" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "# make an lppd function that can be applied to all models (from code above)\n", - "def lppd(model, n_samples=1e4):\n", - " n_samples = int(n_samples)\n", - "\n", - " pars = stats.multivariate_normal(model.params, model.cov_params()).rvs(n_samples).T\n", - " dmat = dmatrix(\n", - " model.model.data.design_info, brains, return_type=\"dataframe\"\n", - " ).values # get model design matrix\n", - " pred = dmat.dot(pars)\n", - "\n", - " n, ns = pred.shape\n", - "\n", - " # this approach for calculating lppd isfrom 7.14\n", - " sigmas = (\n", - " np.sum((pred - brains.brain_std.values.reshape(-1, 1)) ** 2, 0) / 7\n", - " ) ** 0.5\n", - " ll = np.zeros((n, ns))\n", - " for s in range(ns):\n", - " logprob = stats.norm.logpdf(brains.brain_std, pred[:, s], sigmas[s])\n", - " ll[:, s] = logprob\n", - "\n", - " lppd = np.zeros(n)\n", - " for i in range(n):\n", - " lppd[i] = logsumexp(ll[i]) - np.log(ns)\n", - "\n", - " return lppd" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 2.54799078, 2.3115561 , 2.89843278, 3.53621752, 11.04367575])" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# model 7_6 does not work with OLS because its covariance matrix is not finite.\n", - "lppds = np.array(list(map(lppd, models[:-1], [1000] * len(models[:-1]))))\n", - "\n", - "lppds.sum(1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.16\n", - "\n", - "This relies on the `sim.train.test` function in the `rethinking` package. [This](https://github.com/rmcelreath/rethinking/blob/master/R/sim_train_test.R) is the original function.\n", - "\n", - "The python port of this function below is from [Rethinking/Chp_06](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb) Code 6.12." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "def sim_train_test(N=20, k=3, rho=[0.15, -0.4], b_sigma=100):\n", - "\n", - " n_dim = 1 + len(rho)\n", - " if n_dim < k:\n", - " n_dim = k\n", - " Rho = np.diag(np.ones(n_dim))\n", - " Rho[0, 1:3:1] = rho\n", - " i_lower = np.tril_indices(n_dim, -1)\n", - " Rho[i_lower] = Rho.T[i_lower]\n", - "\n", - " x_train = stats.multivariate_normal.rvs(cov=Rho, size=N)\n", - " x_test = stats.multivariate_normal.rvs(cov=Rho, size=N)\n", - "\n", - " mm_train = np.ones((N, 1))\n", - "\n", - " np.concatenate([mm_train, x_train[:, 1:k]], axis=1)\n", - "\n", - " # Using pymc3\n", - "\n", - " with pm.Model() as m_sim:\n", - " vec_V = pm.MvNormal(\n", - " \"vec_V\",\n", - " mu=0,\n", - " cov=b_sigma * np.eye(n_dim),\n", - " shape=(1, n_dim),\n", - " testval=np.random.randn(1, n_dim) * 0.01,\n", - " )\n", - " mu = pm.Deterministic(\"mu\", 0 + pm.math.dot(x_train, vec_V.T))\n", - " y = pm.Normal(\"y\", mu=mu, sd=1, observed=x_train[:, 0])\n", - "\n", - " with m_sim:\n", - " trace_m_sim = pm.sample()\n", - "\n", - " vec = pm.summary(trace_m_sim)[\"mean\"][:n_dim]\n", - " vec = np.array([i for i in vec]).reshape(n_dim, -1)\n", - "\n", - " dev_train = -2 * sum(\n", - " stats.norm.logpdf(x_train, loc=np.matmul(x_train, vec), scale=1)\n", - " )\n", - "\n", - " mm_test = np.ones((N, 1))\n", - "\n", - " mm_test = np.concatenate([mm_test, x_test[:, 1 : k + 1]], axis=1)\n", - "\n", - " dev_test = -2 * sum(\n", - " stats.norm.logpdf(x_test[:, 0], loc=np.matmul(mm_test, vec), scale=1)\n", - " )\n", - "\n", - " return np.mean(dev_train), np.mean(dev_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 970.06draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1216.53draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1203.81draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1152.50draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1077.54draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1143.93draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1110.18draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1034.50draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1194.44draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1125.82draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.68draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1010.13draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1121.75draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1165.65draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 791.16draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1070.84draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 694.49draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 748.04draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1212.82draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 992.05draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1158.13draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1109.76draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1106.08draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 964.92draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1112.87draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1068.40draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1105.04draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 889.28draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1093.40draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1122.85draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "5\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1029.67draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 738.17draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 846.76draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 920.36draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1000.59draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1140.14draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 711.36draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 592.60draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1009.37draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1057.19draws/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "6\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1144.15draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 834.82draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 786.31draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1068.02draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1108.47draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 779.91draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 841.70draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 964.11draws/s] \n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1165.80draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [vec_V]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1078.22draws/s]\n" - ] - } - ], - "source": [ - "n = 20\n", - "tries = 10\n", - "param = 6\n", - "r = np.zeros(shape=(param - 1, 4))\n", - "\n", - "train = []\n", - "test = []\n", - "\n", - "for j in range(2, param + 1):\n", - " print(j)\n", - " for i in range(1, tries + 1):\n", - " tr, te = sim_train_test(N=n, k=param)\n", - " train.append(tr), test.append(te)\n", - " r[j - 2, :] = (\n", - " np.mean(train),\n", - " np.std(train, ddof=1),\n", - " np.mean(test),\n", - " np.std(test, ddof=1),\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.17\n", - "\n", - "Does not apply because multi-threading is automatic in PyMC3." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.18" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "num_param = np.arange(2, param + 1)\n", - "\n", - "plt.figure(figsize=(10, 6))\n", - "plt.scatter(num_param, r[:, 0], color=\"C0\")\n", - "plt.xticks(num_param)\n", - "\n", - "for j in range(param - 1):\n", - " plt.vlines(\n", - " num_param[j],\n", - " r[j, 0] - r[j, 1],\n", - " r[j, 0] + r[j, 1],\n", - " color=\"mediumblue\",\n", - " zorder=-1,\n", - " alpha=0.80,\n", - " )\n", - "\n", - "plt.scatter(num_param + 0.1, r[:, 2], facecolors=\"none\", edgecolors=\"k\")\n", - "\n", - "for j in range(param - 1):\n", - " plt.vlines(\n", - " num_param[j] + 0.1,\n", - " r[j, 2] - r[j, 3],\n", - " r[j, 2] + r[j, 3],\n", - " color=\"k\",\n", - " zorder=-2,\n", - " alpha=0.70,\n", - " )\n", - "\n", - "dist = 0.20\n", - "plt.text(num_param[1] - dist, r[1, 0] - dist, \"in\", color=\"C0\", fontsize=13)\n", - "plt.text(num_param[1] + dist, r[1, 2] - dist, \"out\", color=\"k\", fontsize=13)\n", - "plt.text(num_param[1] + dist, r[1, 2] + r[1, 3] - dist, \"+1 SD\", color=\"k\", fontsize=10)\n", - "plt.text(num_param[1] + dist, r[1, 2] - r[1, 3] - dist, \"+1 SD\", color=\"k\", fontsize=10)\n", - "plt.xlabel(\"Number of parameters\", fontsize=14)\n", - "plt.ylabel(\"Deviance\", fontsize=14)\n", - "plt.title(\"N = {}\".format(n), fontsize=14)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "These uncertainties are a *lot* larger than in the book... MCMC vs OLS again?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.19\n", - "\n", - "7.19 to 7.25 transcribed directly from 6.15-6.20 in [Chapter 6 of 1st Edition](https://nbviewer.jupyter.org/github/pymc-devs/resources/blob/master/Rethinking/Chp_06.ipynb)." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "data = pd.read_csv(\"Data/cars.csv\", sep=\",\", index_col=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 30000/30000 [00:30<00:00, 986.70draws/s] \n" - ] - } - ], - "source": [ - "with pm.Model() as m:\n", - " a = pm.Normal(\"a\", mu=0, sd=100)\n", - " b = pm.Normal(\"b\", mu=0, sd=10)\n", - " sigma = pm.Uniform(\"sigma\", 0, 30)\n", - " mu = pm.Deterministic(\"mu\", a + b * data[\"speed\"])\n", - " dist = pm.Normal(\"dist\", mu=mu, sd=sigma, observed=data[\"dist\"])\n", - " m = pm.sample(5000, tune=10000)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.20" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "n_samples = 1000\n", - "n_cases = data.shape[0]\n", - "logprob = np.zeros((n_cases, n_samples))\n", - "\n", - "for s in range(0, n_samples):\n", - " mu = m[\"a\"][s] + m[\"b\"][s] * data[\"speed\"]\n", - " p_ = stats.norm.logpdf(data[\"dist\"], loc=mu, scale=m[\"sigma\"][s])\n", - " logprob[:, s] = p_" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.21" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "n_cases = data.shape[0]\n", - "lppd = np.zeros((n_cases))\n", - "for a in range(1, n_cases):\n", - " lppd[a,] = logsumexp(logprob[a,]) - np.log(n_samples)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.22" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "pWAIC = np.zeros((n_cases))\n", - "for i in range(1, n_cases):\n", - " pWAIC[i,] = np.var(logprob[i,])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.23" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "412.2473721341997" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "-2 * (sum(lppd) - sum(pWAIC))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.24" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "15.062775341988091" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "waic_vec = -2 * (lppd - pWAIC)\n", - "(n_cases * np.var(waic_vec)) ** 0.5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Setup for Code 7.25+\n", - "\n", - "Have to reproduce m6.6-m6.8 from Code 6.13-6.17 in Chapter 6" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, p]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1828.49draws/s]\n", - "The acceptance probability does not match the target. It is 0.8790785610439991, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bf, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1183.86draws/s]\n", - "The acceptance probability does not match the target. It is 0.8878556060097744, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bt, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1442.66draws/s]\n" - ] - } - ], - "source": [ - "# number of plants\n", - "N = 100\n", - "# simulate initial heights\n", - "h0 = np.random.normal(10, 2, N)\n", - "# assign treatments and simulate fungus and growth\n", - "treatment = np.repeat([0, 1], N / 2)\n", - "fungus = np.random.binomial(n=1, p=0.5 - treatment * 0.4, size=N)\n", - "h1 = h0 + np.random.normal(5 - 3 * fungus, size=N)\n", - "# compose a clean data frame\n", - "d = pd.DataFrame.from_dict(\n", - " {\"h0\": h0, \"h1\": h1, \"treatment\": treatment, \"fungus\": fungus}\n", - ")\n", - "\n", - "with pm.Model() as m_6_6:\n", - " p = pm.Lognormal(\"p\", 0, 0.25)\n", - "\n", - " mu = pm.Deterministic(\"mu\", p * d.h0)\n", - " sigma = pm.Exponential(\"sigma\", 1)\n", - "\n", - " h1 = pm.Normal(\"h1\", mu=mu, sigma=sigma, observed=d.h1)\n", - "\n", - " m_6_6_trace = pm.sample()\n", - "\n", - "with pm.Model() as m_6_7:\n", - " a = pm.Normal(\"a\", 0, 0.2)\n", - " bt = pm.Normal(\"bt\", 0, 0.5)\n", - " bf = pm.Normal(\"bf\", 0, 0.5)\n", - "\n", - " p = a + bt * d.treatment + bf * d.fungus\n", - "\n", - " mu = pm.Deterministic(\"mu\", p * d.h0)\n", - " sigma = pm.Exponential(\"sigma\", 1)\n", - "\n", - " h1 = pm.Normal(\"h1\", mu=mu, sigma=sigma, observed=d.h1)\n", - "\n", - " m_6_7_trace = pm.sample()\n", - "\n", - "with pm.Model() as m_6_8:\n", - " a = pm.Normal(\"a\", 0, 0.2)\n", - " bt = pm.Normal(\"bt\", 0, 0.5)\n", - "\n", - " p = a + bt * d.treatment\n", - "\n", - " mu = pm.Deterministic(\"mu\", p * d.h0)\n", - " sigma = pm.Exponential(\"sigma\", 1)\n", - "\n", - " h1 = pm.Normal(\"h1\", mu=mu, sigma=sigma, observed=d.h1)\n", - "\n", - " m_6_8_trace = pm.sample()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.25" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", - "See http://arxiv.org/abs/1507.04544 for details\n", - " \"For one or more samples the posterior variance of the log predictive \"\n" - ] - }, - { - "data": { - "text/plain": [ - "Computed from 1000 by 100 log-likelihood matrix\n", - "\n", - " Estimate SE\n", - "deviance_waic 361.57 15.09\n", - "p_waic 3.32 -\n", - "\n", - "There has been a warning during the calculation. Please check the results." - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "az.waic(m_6_7_trace, m_6_7, scale=\"deviance\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.26" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
rankwaicp_waicd_waicweightsedsewarningwaic_scale
m_6_70361.5653.315070115.09030Truedeviance
m_6_81410.0452.4138948.482.9697e-1111.32929.96148Falsedeviance
m_6_62418.3321.5745156.76664.71286e-1311.729211.8463Falsedeviance
\n", - "
" - ], - "text/plain": [ - " rank waic p_waic d_waic weight se dse warning \\\n", - "m_6_7 0 361.565 3.31507 0 1 15.0903 0 True \n", - "m_6_8 1 410.045 2.41389 48.48 2.9697e-11 11.3292 9.96148 False \n", - "m_6_6 2 418.332 1.57451 56.7666 4.71286e-13 11.7292 11.8463 False \n", - "\n", - " waic_scale \n", - "m_6_7 deviance \n", - "m_6_8 deviance \n", - "m_6_6 deviance " - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "compare_df = az.compare(\n", - " {\"m_6_6\": m_6_6_trace, \"m_6_7\": m_6_7_trace, \"m_6_8\": m_6_8_trace,},\n", - " method=\"pseudo-BMA\",\n", - " ic=\"waic\",\n", - " scale=\"deviance\",\n", - ")\n", - "compare_df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.27" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", - "See http://arxiv.org/abs/1507.04544 for details\n", - " \"For one or more samples the posterior variance of the log predictive \"\n" - ] - }, - { - "data": { - "text/plain": [ - "array(9.96147766)" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "waic_m_6_7 = az.waic(m_6_7_trace, pointwise=True, scale=\"deviance\")\n", - "waic_m_6_8 = az.waic(m_6_8_trace, pointwise=True, scale=\"deviance\")\n", - "\n", - "# pointwise values are stored in the waic_i attribute.\n", - "diff_m_6_7_m_6_8 = waic_m_6_7.waic_i - waic_m_6_8.waic_i\n", - "\n", - "n = len(diff_m_6_7_m_6_8)\n", - "\n", - "np.sqrt(n * np.var(diff_m_6_7_m_6_8)).values" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.28" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([12.96, 67.04])" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "40.0 + np.array([-1, 1]) * 10.4 * 2.6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.29" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "az.plot_compare(compare_df)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.30" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array(0.69300909)" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "waic_m_6_6 = az.waic(m_6_6_trace, pointwise=True, scale=\"deviance\")\n", - "\n", - "diff_m6_6_m6_8 = waic_m_6_6.waic_i - waic_m_6_8.waic_i\n", - "\n", - "np.sqrt(1 * np.var(diff_m6_6_m6_8)).values" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.31\n", - "\n", - "dSE is calculated by compare above, but `rethinking` produces a pairwise comparison. This is not implemented in `arviz`, but we can hack it together:" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", - "See http://arxiv.org/abs/1507.04544 for details\n", - " \"For one or more samples the posterior variance of the log predictive \"\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
m_6_7m_6_8
m_6_89.961480
m_6_611.84636.93009
\n", - "
" - ], - "text/plain": [ - " m_6_7 m_6_8\n", - "m_6_8 9.96148 0\n", - "m_6_6 11.8463 6.93009" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dataset_dict = {\"m_6_6\": m_6_6_trace, \"m_6_7\": m_6_7_trace, \"m_6_8\": m_6_8_trace}\n", - "\n", - "# compare all models\n", - "s0 = az.compare(dataset_dict, ic=\"waic\", scale=\"deviance\")[\"dse\"]\n", - "# the output compares each model to the 'best' model - i.e. two models are compared to one.\n", - "# to complete a pair-wise comparison we need to compare the remaining two models.\n", - "\n", - "# to do this, remove the 'best' model from the input data\n", - "del dataset_dict[s0.index[0]]\n", - "\n", - "# re-run compare with the remaining two models\n", - "s1 = az.compare(dataset_dict, ic=\"waic\", scale=\"deviance\")[\"dse\"]\n", - "\n", - "# s0 compares two models to one model, and s1 compares the remaining two models to each other\n", - "# now we just nee to wrangle them together!\n", - "\n", - "# convert them both to dataframes, setting the name to the 'best' model in each `compare` output.\n", - "# (i.e. the name is the model that others are compared to)\n", - "df_0 = s0.to_frame(name=s0.index[0])\n", - "df_1 = s1.to_frame(name=s1.index[0])\n", - "\n", - "# merge these dataframes to create a pairwise comparison\n", - "pd.merge(df_0, df_1, left_index=True, right_index=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Note:** this work for three models, but will get increasingly hack-y with additional models. The function below can be applied to *n* models:" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "def pairwise_compare(dataset_dict, metric=\"dse\", **kwargs):\n", - " \"\"\"\n", - " Calculate pairwise comparison of models in dataset_dict.\n", - " \n", - " Parameters\n", - " ----------\n", - " dataset_dict : dict\n", - " A dict containing two ore more {'name': pymc3.backends.base.MultiTrace}\n", - " items.\n", - " metric : str\n", - " The name of the matric to be calculated. Can be any valid column output\n", - " by `arviz.compare`. Note that this may change depending on the **kwargs\n", - " that are specified.\n", - " kwargs\n", - " Arguments passed to `arviz.compare`\n", - " \"\"\"\n", - " data_dict = dataset_dict.copy()\n", - " dicts = []\n", - "\n", - " while len(data_dict) > 1:\n", - " c = az.compare(data_dict, **kwargs)[metric]\n", - " dicts.append(c.to_frame(name=c.index[0]))\n", - " del data_dict[c.index[0]]\n", - "\n", - " return pd.concat(dicts, axis=1).dropna(how=\"any\")" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", - "See http://arxiv.org/abs/1507.04544 for details\n", - " \"For one or more samples the posterior variance of the log predictive \"\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
m_6_7m_6_8
m_6_89.961480
m_6_611.84636.93009
\n", - "
" - ], - "text/plain": [ - " m_6_7 m_6_8\n", - "m_6_8 9.96148 0\n", - "m_6_6 11.8463 6.93009" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dataset_dict = {\"m_6_6\": m_6_6_trace, \"m_6_7\": m_6_7_trace, \"m_6_8\": m_6_8_trace}\n", - "\n", - "pairwise_compare(dataset_dict, metric=\"dse\", ic=\"waic\", scale=\"deviance\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.32" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "d = pd.read_csv(\"Data/WaffleDivorce.csv\", delimiter=\";\")\n", - "\n", - "d[\"A\"] = stats.zscore(d[\"MedianAgeMarriage\"])\n", - "d[\"D\"] = stats.zscore(d[\"Divorce\"])\n", - "d[\"M\"] = stats.zscore(d[\"Marriage\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1942.60draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bM, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:00<00:00, 2021.42draws/s]\n", - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bM, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1477.35draws/s]\n", - "The acceptance probability does not match the target. It is 0.884650266255495, but should be close to 0.8. Try to increase the number of tuning steps.\n" - ] - } - ], - "source": [ - "with pm.Model() as m_5_1:\n", - " a = pm.Normal(\"a\", 0, 0.2)\n", - " bA = pm.Normal(\"bA\", 0, 0.5)\n", - "\n", - " mu = a + bA * d[\"A\"]\n", - " sigma = pm.Exponential(\"sigma\", 1)\n", - "\n", - " D = pm.Normal(\"D\", mu, sigma, observed=d[\"D\"])\n", - "\n", - " m_5_1_trace = pm.sample()\n", - "\n", - "with pm.Model() as m_5_2:\n", - " a = pm.Normal(\"a\", 0, 0.2)\n", - " bM = pm.Normal(\"bM\", 0, 0.5)\n", - "\n", - " mu = a + bM * d[\"M\"]\n", - " sigma = pm.Exponential(\"sigma\", 1)\n", - "\n", - " D = pm.Normal(\"D\", mu, sigma, observed=d[\"D\"])\n", - "\n", - " m_5_2_trace = pm.sample()\n", - "\n", - "with pm.Model() as m_5_3:\n", - " a = pm.Normal(\"a\", 0, 0.2)\n", - " bA = pm.Normal(\"bA\", 0, 0.5)\n", - " bM = pm.Normal(\"bM\", 0, 0.5)\n", - "\n", - " mu = a + bA * d[\"A\"] + bM * d[\"M\"]\n", - " sigma = pm.Exponential(\"sigma\", 1)\n", - "\n", - " D = pm.Normal(\"D\", mu, sigma, observed=d[\"D\"])\n", - "\n", - " m_5_3_trace = pm.sample()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.33" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:532: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n", - " \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
rankloop_lood_looweightsedsewarningloo_scale
m_5_10126.5083.4186800.69159912.37230Truedeviance
m_5_31128.8694.887072.360920.23503710.12690.875712Falsedeviance
m_5_22140.3342.9735813.82610.073363912.85298.82372Falsedeviance
\n", - "
" - ], - "text/plain": [ - " rank loo p_loo d_loo weight se dse warning \\\n", - "m_5_1 0 126.508 3.41868 0 0.691599 12.3723 0 True \n", - "m_5_3 1 128.869 4.88707 2.36092 0.235037 10.1269 0.875712 False \n", - "m_5_2 2 140.334 2.97358 13.8261 0.0733639 12.8529 8.82372 False \n", - "\n", - " loo_scale \n", - "m_5_1 deviance \n", - "m_5_3 deviance \n", - "m_5_2 deviance " - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "az.compare(\n", - " {\"m_5_1\": m_5_1_trace, \"m_5_2\": m_5_2_trace, \"m_5_3\": m_5_3_trace}, scale=\"deviance\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.34" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", - "See http://arxiv.org/abs/1507.04544 for details\n", - " \"For one or more samples the posterior variance of the log predictive \"\n" - ] - }, - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'WAIC')" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "psis_m_5_3 = az.loo(m_5_3_trace, pointwise=True, scale=\"deviance\")\n", - "waic_m_5_3 = az.waic(m_5_3_trace, pointwise=True, scale=\"deviance\")\n", - "\n", - "# Figure 7.10\n", - "plt.scatter(psis_m_5_3.pareto_k, waic_m_5_3.waic_i)\n", - "plt.xlabel(\"PSIS Pareto k\")\n", - "plt.ylabel(\"WAIC\")" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqMAAAE0CAYAAAAYFDoOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdd3xUZfb48c+dkkZCCKiAiFINogQSQiASWgBpoYi4CiIgVlywrb+1ruvuF3VdXXVFEcGySnGVovQWJECABBCkB6mhGGpCSCBlyv39cfcmQOokmZrzfr32pTt3cufJODf3zDnneR5FVVUVIYQQQggh3MDg7gEIIYQQQojaS4JRIYQQQgjhNhKMCiGEEEIIt5FgVAghhBBCuI0Eo0IIIYQQwm0kGBVCCCGEEG4jwagQQgghhHAbCUaFEEIIIYTbSDAqhBBCCCHcxuTuAVRVVlaWu4fgcqGhoWRnZ7t7GF5L3r/qqY3vX1hYmLuH4FTyd1Q4St6/6qmN719l/o5KZtSLGAzyn6s65P2rHnn/hC+Qz3H1yPtXPfL+lU7eFSGEEEII4TYSjAohhBBCCLeRYFQIIYQQQrhNlYLRXbt28fjjj9OpUyc6dOjAiBEjWLx4cZUHYbFYGDp0KOHh4fTv37/K5xFCCCGEEN7F4dn0qampPProo5jNZgYNGkRISAirVq3ixRdf5NSpUzz11FMOD2Lq1KkcP37c4Z8TQgghhBDezaHMqNVq5fXXX0dRFGbPns3kyZN56aWXWLhwIa1bt2bKlCkcO3bMoQHs3buX6dOn88ILLzj0c0IIIYQQwvs5FIympKRw/PhxEhISaNu2bdHjwcHBPP3001itVhYsWFDp8xUWFvLyyy/Tvn17Ro8e7chQhBBCCCGED3CoTL9lyxYA4uLiShzr2rXrNc+pjE8++YT09HQWLlyIoiiODEUIIYQQQvgAh4JRvQR/2223lTgWGhpKWFgY6enplTrXrl27+OKLL3j++edp3ry5I8MQotJUFU6dUigsVAgNBX9/CA5296iE8E6XL0NAABiN7h6JEMLVLBawWiEwsObP7VAwmpubC0BISEipx4ODgzl9+nSF5yksLOSVV17hjjvuYPz48Y4MoUhoaGit3MnA17cnrEkHDsDEiZCYWPxYnTph/O1v8MwzYDa7b2zeSj5/tdelS9ChQygdOthYsCDX3cMRQriQ3Q7x8SFcvGhg585sajr8csve9B999BHp6enMnz8fYxW/Yte2vV1BCwRq417SjrLb4d13A/joowAsFgWjUSUoCOx2hcuX4cUX4YsvbHz22WXat7e5e7heozZ+/iT4LmazKWRnKyQlmTl9WqFRI9XdQxJCuMiePUb27jURHKxit1PjwahDpwv+X30zJyen1OO5ubllZk11e/fu5T//+Q9PPfUU4eHhjry8EJXyz38G8N57gVgsCn37Wtiy5RLp6Re5dAk+/vgyDRrYSUszMmJEMMeP177suhBVERamFn15W7dOygpC1CZJSVrusmtXCyYnpDEduhM3a9YMoNS+0OzsbLKyskrtJ73agQMHsNlsTJkyhfDw8Gv+B3D06FHCw8OJjo52ZGhCADB/vpl//lNraHn//cv897+5NG9uB7RvcqNHF7JlyyXat7dy4YKBkSODKeO7lRDiOj17WoDiG5MQonZYu1b7Atqzp9Up53foL0qnTp34/PPPSU5OZtCgQdcc27hxIwAxMTHlnqNZs2aMGDGi1GPz5s0jJCSEfv36EeiMDlnh0375xcikSXUAmDgxn/HjC0t9XliYyqxZufTtW5f9+4088UQdZs26LJMyhKhAz55WPvpIy4yqKsgiKEL4vrw8SEnRwkX9C2lNcygYjY2NpWnTpixZsoQxY8Zwxx13AFp5furUqZhMJu69996i52dmZpKVlUVYWBj169cHICoqiqioqFLPP2/ePG644Qbeeuutqv4+opayWODpp+uQn6/Qr18hf/1rXrnPb9JEZebMXAYPDmHlSj9mzrQwblzpwasQQtO5s5XAQJXTpw3s32+gbVu7u4ckhHCylBQTBQUKjRvbuf1251zzDpXpTSYTkydPRlVVRo0axV/+8hfeffddhg4dysGDB5k4ceI1yzTNnj2bgQMHMnv27BofuBBX++orfw4eNHLjjXY+/7xyWc6OHW288YYWtL7zTiCXLjl5kEJ4OX9/iI3VynRJSdI3KkRtoF/rPXtanFYNcXj2RpcuXZgzZw4dO3Zk+fLlzJkzh3r16vHee+8xYcIEZ4xRiHJlZSm8+24AAK+8kkfdupX/2UcfLaB1axvnzhn48ENpDRGiIsV9oxKMClEb6D3ivXo5p0QPoKiq6pXrc9S2JWagdi6tUxmvvBLI558H0LatlXXrcsrMipb1/q1caWbkyGD8/FRSUy9x221SeixNbfz8+frSTlX577l3r5Fu3eoSFKRy5MhF/PycMDAnqo2f45ok71/1eNv7d+6cQnh4PQAOHLjIjTc6HjJW5u+orGsjvNrhwwa+/NIfgMmT86o0Cemeeyz06GGhsFDhb3+T7KgQ5Wnb1sZNN9m5ckVh61aZVS+EL1u/XrvG77rLWqVAtLIkGBVe7bPP/LFaFfr0sVR5yQlF0QJZgIULzRw7JpeFEGVRFOjRQyvXrV0rwagQvszZSzrp5K4rvNbFiwr//a+WFZ00Kb9a57rzThvx8RZUVWHGDP+aGJ4QPqtXL+3GpN+ohBC+R1WLr3Fn9ouCBKPCi82c6ceVKwp33mklLq7639qeekoLaGfN8peF8IUohz6J6ddfjVy4IIuNCuGL0tIMZGQYCAhQ6dJFMqNClGC1whdfaBnMJ58sqJHlJuLjrbRubSMnpzjjKoQoqVEjlbZtraiqwrp1UqoXwhfpWdG777bi7H2IJBgVXmnZMjMnThhp0MDOiBE1s1i9wQBPPFEAwPTp/thlUr0QZYqP1zIlP/8spXohfJF+bTu7RA8SjAovNX26lrkcN66AgICaO+8DDxRQt66dw4eNrFkjGR8hyqLfoNau1bYGFUL4jvx82LTJ+euL6iQYFV7n2DEDmzaZMRhUHnmkoEbPHRwMDz2kZVrnzJFSvRBl6dLFSkCASkaGgQMH5FYihC9JSTGRn69tAXrHHc4vE8pfEOF15s7VVtnu3t3KzTfXfErmgQe0YHTFCrNsESpEGQIDi7cGlVK9EL5Fv6aduQXo1SQYFV5FVYuD0T/8oWZ6Ra/Xrp2N8HAbBQUKixZ52fYyQrhQfHxxqV4I4Tv0NYT1a9zZJBgVXuXXX40cOmQkMFBl0CDnBKOKUhzozpsnwagQZdF7yTZtMpFfvaV+hRAe4vRphb17TSiK6vTF7nUSjAqv8sMPWnA4YICFkBDnvY4+Q3/DBhOnTsk6ikKU5o477DRubCcvT2HzZpnwJ4Qv0Csd7dvbaNDANbMTJRgVXsNqhQULtGD0/vudkxXVNW1qJzZW25Fp/nzJjgpRGkUpLuOtWSOleiF8gX4t9+7tmhI9SDAqvEhSkolz5wzUr293SR+LHvDqPapCeCJVVVm1ahUPP/wwcXFxtG/fnn79+vHGG29w4sQJp7++fsOSYFQI72ezFfeLSjAqRCkWLtSCwmHDCjG74L43bJgFs1ll714Thw7JpSI807vvvsukSZM4evQovXv3ZvTo0dxyyy388MMPDB06lN9++82pr9+zpxWDQeXAASMnT0pLixDebMcOI1lZBurWtRMdbXPZ68odVngFmw1WrtQi0IQE13xbq1dPpWtXrXl72TLJ+gjPc+7cOb755huaNGnCihUr+Nvf/sb/+3//jy+//JKXX36Zy5cv8/XXXzt1DPXqqXTsqN20JDsqhHfTr+EePayYXNgGLsGo8Apbtxo5f177tqYHiK4wcKAW+C5fLqV64XlOnTqF3W4nKiqK4ODga4717NkTgMzMTKePQy/nyXqjQng3/Rp2ZYkeJBgVXkIPBu+5x+KSEr2uf3+tb3TLFiPnzkkJUniW2267DbPZzPbt28nNzb3m2Lp16wDo0qWL08eh37iSksxYXHsPE0LUkKwshV9+MQKuW19UJ2txCK+wfLkWgQ4Y4NgFsmnTJqZNm0ZeXh5ms5mWLVvy8ssvU6dOnUr9/C23qLRvb2XnThMrV5oZPdq5s/iFcERYWBjPP/88//znPxk4cCDx8fHUqVOH3377jc2bN/PAAw8wevRop4+jQwcb9evbycw08MsvRrp0cV2vmRCiZiQlmbDbFdq0sXHLLa5Z0kknwajweL/9ZuDQISNms1rp0oGqqkyfPp3XX38dm+3aG+PatWuZNWsWzZo1q9S5BgywsHOnieXLJRgVnufRRx/lpptu4o033uC7774rejwyMpIhQ4ZgLqeUEBoaisFQMwWyfv3gu+8gObkuAwbUyCmdJiwszN1D8Gry/lWPp75/ycnaPwcNMrp8jBKMCo+nTx7q1s1K3boVP99utzNp0qSiG/Pw4cPp3bs3iqLw5ptvsm/fPuLj45k9ezaxsbEVnm/gQAv/+Ecga9eauXwZKplUFcIlpk6dytSpU5k4cSLDhg2jbt267N+/n3/84x+MGTOGjz76iHvuuafUn83Ozq6xcXTr5sd339Vh6VIrL76YU2PnrWlhYWFkZWW5exheS96/6vHU909VYdmyUMBA1645ZGXV3NyMygS20jMqPN6yZVq/6MCBlctKfvXVV3z33XcYjUbeeustZsyYwciRI5kwYQJr1qwhKiqKixcv8uijj1bqZnznnTaaNrWRn6+QlCQTNITn2Lx5M//+97956KGHeOqpp2jUqBFBQUF07NiRzz//HH9/f9555x2XjEXvMdu508SZM9JfLYQ32b3byJkzBurUUYmNdd0kYZ0Eo8KjnTtX3FDdv3/FJfqTJ0/y97//HYC3336bCRMmoCjFN8YmTZqwePFiWrVqxenTp3nzzTcrPKeiFPeq6r2rQngCfZJS586dSxyrX78+4eHh/P777y6ZUX/TTSqRkdpNTJZ4EsK7JCZq12z37hb8/V3/+hKMCo+2dq0ZVVVo187KzTeX31Ctqip/+tOfyM3NJSYmhkcffbTU5wUGBvLhhx8C8M0337Bx48YKx3HPPZarxuPgLyGEk1j+N3W9rGBTf9zPzzVLk+k93fqNTQjhHRITta7NPn3csxyGBKPCo+nbksXHV1w2WLBgAatXr8bPz4+PPvqo3IkZXbt2ZezYsQA899xz5Ofnl3vu2FgrAQEqGRkG9u+Xy0Z4hqioKAD+85//kJNzbZ/mjz/+SHp6OnfeeWeJNUidpW9f/UubCavrK31CiCq4eFFhyxY9GHXPhSt3VeGx7HYtEwkVr3lms9mYPHkyAM8//zxt2rSp8PxvvvkmjRo14vDhw8yePbvc5wYGwt13axepPiYh3K1///7ExMRw8OBB7rnnHl577TXeffddxo8fz8svv4yfnx+vvvqqy8YTFaUt8ZSdbWDbNqPLXlcIUXVr12pLOoWH22ja1O6WMUgwKjzW3r1Gzp7VGqo7dy7/29qyZctIT08nLCyMSZMmVer8oaGhPPfccwBMmzYNu738i1APiGWXGeEpjEYjX375JS+++CKNGzdm6dKlfPvttxw6dIiEhATmz59PdHS0C8dTfJ2sXi3XiRDeQG+r0Ssb7iDBqPBYeok+Ls5CRS1vU6dOBWD8+PEEBQVV+jVGjRpF3bp1OXz4MKtWrSr3ufpNdvNmE3l5lX4JIZzKz8+Pxx9/nAULFvDrr7+yd+9e1q9fz7/+9S9uv/12l49HL/NJ36gQns9uL55w6K5+UZBgVHgwPQPZq1f5WdFt27aRmpqK2Wwuc9JSWYKDgxk3bhxQHNCWJTzcTuPGdvLzFTZtkiV6hShNfLwFRVHZvdtERoYs8SSEJ9u1S6tABgerdOnivkZvCUaFR7p8GVJS9MlL5X9b++yzzwAYMWIEjRo1cvi1Hn/8cUwmE8nJyezcubPM5ymKlOqFqMgNN6hERmq7nkl2VAjPprfT9OhRcQXSmSQYFR5p40YThYUKt95qo2XLsns5T548yaJFiwCYMGFClV6rSZMmDBs2DCgObMsiwagQFdOXQpO+USE826pV7u8XBQlGhYfSg734eCtKOZW+//73v9hsNuLi4rjrrruq/HpPPfUUAAsXLuTSpUtlPq9nTysGg8qBA0ZOnZISpBCl0YPRpCQzBQVuHowQolTnzyts366teiHBqBClWL9eC0Z79iz7AlFVlblz5wIwcuTIar1eZGQkt99+OwUFBSxZsqTM54WFqXTooJUgN2yQrI8QpYmIsNGwoZ3cXIXNm6W/WghPlJiobSoTEWGlcWP37uYiwajwOOfOKaSlGVEUlbi4shuqd+/ezcGDBwkICGDQoEHVek1FURgxYgQA8+bNK/e53bppY9qwQW6yQpTGYCiembtypXxpE8IT6demu7OiIMGo8EDJyVqQd+edNurXL/vbmh409uvXj7p161b7dfVgdP369Zw5c6bM58XFWa4ZpxCiJOkbFcJzWSzF7XD6tepOEowKj5OcrF0g5WVFbTYb8+fPB4qDyOpq1qwZ0dHR2O12fvzxxzKf17mzFZNJ5cQJI+npcgkJUZqePS2YzSpHjhg5dEiuEyE8SWqqiZwchQYN7ERF2dw9HAlGhefRy996Obw0mzdvJiMjg7p169KnT58ae+3KlOqDgym6eKVUL0TpQkKKt9DVZ+wKITyDfk326WPB6AE790owKjxKRobCoUNGDAa16EZWGj1YHDJkCP7+/jX2+sOGDcNoNLJ9+3aOHDlS5vO6dZNSvRAV0XvRpFQvhGfxlCWddBKMCo+il+gjImyEhpbeL2q1Wlm8eDFQcyV63U033USPHj0Ayi3V6y0EGzaYUd07CVEIj9Wvn3aj27TJRDkrpgkhXOjYMQO//WbEZFLp3dt9uy5dTYJR4VH0snd5/aKpqalkZWVRv359unbtWuNjSEhIAGDFihVlPicmxoqfn0pGhoEjR+QyEqI0LVvaad3ahsWiyEYRQniIFSu0azE21lpm0sfV5C4qPIpe9tbL4KXRg8S+fftidEKzS79+/QDYvn07Z8+eLfU5gYEQHS1LPAlRET07Kks8CeEZ9GvRE2bR6yQYFR7j5EmFY8eMGI0qXbqUnRlduXIlUBw01rTGjRsTGRmJqqqsWrWqzOfp2Vu9tUAIUZIejK5ebcbm/km7QtRqly5p220D9O8vwagQJWzcqAV17dvbCAkp/TkHDx7k0KFDmM1m4uPjnTYWPdAtr1SvB6ObNpmkb1SIMnTubKVePTuZmQa2bvWAabtC1GI//2zGalVo3dpGy5Z2dw+niASjwmPo2waWN4teDw67du1aIwvdl2XAgAEAJCUlkZ+fX+pzOna0YjarnD5t4NgxuZSEKI3JdPVuTH5uHo0QtZteotcrFp5C7qDCY+jBaGxsxSX6/v37O3Usd911F02aNOHKlSts2LCh1OcEBkJkpFZ3lP23hSibfuPTJ04IIVzPZiteZs2TSvRQxWB0165dPP7443Tq1IkOHTowYsSIoqV2KiM1NZU//elPDBgwgOjoaNq3b0+/fv145ZVXyl3bUfiu8+cVDh7USnidO5cejGZmZpKSkgI4PxhVFKWoVL98+fIyn6cHzhKMClG2Pn2sGI0qBw4YpYoghJts3WokM9NAvXp2YmI8Y0knncN/FVJTUxk1ahTbtm2jX79+jBw5kqysLF588UWmTZtWqXNs2rSJX375hdatW3Pvvffy0EMP0bx5cxYuXMjQoUOLAg5Re6SkaMFcmzZl70efmJiI3W6nbdu23HrrrU4fkx7wrly5ErWMptDYWO3bpQSjQpQtNFQt+uIm2VEh3GPFCq1Npk8fCyYPu2U5NByr1crrr7+OoijMnj2btm3bAvDHP/6RBx98kClTptC/f3+aNWtW7nmefvppnn/++RKPb968mXHjxvHee+8V7TsuaofKlOjXrFkDOG8W/fW6detGUFAQGRkZ7N+/v+jzfrXOnW0oirb/9pkzCg0bykwmIUrTv7+F5GQzK1aYeeqpAncPR4haZ/lyzyzRg4OZ0ZSUFI4fP05CQsI1N+bg4GCefvpprFYrCxYsqPA8ZW3fGBsbS2hoKMePH3dkWMIH6JlRPdN4PbvdTlJSEoBTZ9Ffzd/fv2hR/Z9//rnU54SGqrRtK32jQlRkwADt2t640cTFi4qbRyNE7XLokIGDB42YzWrRhEJP4lAwumXLFgDi4uJKHNNv2vpzqmLHjh1kZ2fTunXrKp9DeJ+cHNi5U+sXLWt90b1793Lu3Dnq1KlDp06dXDa2Xr16AbB27doyn6PP/tcDaiFESc2b22nTxobNppCYKNeKEK6kZ0W7drXixIVoqsyhvwjHjh0D4LbbbitxLDQ0lLCwMNLT0yt9vtTUVLZs2UJhYSHp6emsXbuWsLAwXnnlFUeGJbzc1q0m7HaFW2+1ccstpZe59WAwLi4OPz/XLQ+jB6ObN28mLy+PwMDAEs/p0sXKjBmSGRWiIgMHFpKWFsiyZX6MGOF52RkhfJUejA4c6JnXnUN3z9zcXABCyliRPDg4mNOnT1f6fFu2bOGTTz4p+v+33XYbH3zwAXfddVeFPxsaGorBUPtmZYaFhbl7CDXu11+1f/boYSzz99OXVxo0aFC13gNHf7Zz587ccsstnDx5kr1799K3b98Sz/nfkqTs2WPCYAgjNLTKw/N4vvj5E67Tv7+FDz4IJDHRTGEhuPB7pRC11vnzClu26LsuFbp5NKVzaypn0qRJTJo0iStXrnDo0CGmTp3KyJEjefvttxk8eHC5P5udne2iUXqOsLAwsrKy3D2MGrd2bTBgJirqMllZJS+Uq9f6jImJqfJ7UNX3r3v37syZM4dFixYRHR1d4nhAADRvXpejR42sXJlD376etWRGTfHVz195JPiuWVFRNho2tHPmjIHkZBPx8b55rQjhSVatMmO3K0REWMusPrqbQ6nF4OBgAHJycko9npubW2bWtDxBQUFERETwySef0KJFC9544w0yMzMdPo/wPhYLbN+ufScqq19006ZNFBYW0qRJE7f0E1emb1Qfe2qqlOqFKIvBIAvgC+Fq+rXmibPodQ4Fo/qSTaX1hWZnZ5OVlVVqP2llmUwmOnfuzJUrV9i9e3eVzyO8x+7dRvLyFMLC7LRuXfo+uXoQ2KtXLxTF9bNwe/bsiaIo7N27t8w2FH0BYb0UIoQo3cCBWvVj2TI/yli+VwhRQ/LytP3owXP7RcHBYFSfxZycnFzi2MaNGwGtjFodZ8+eBbTAVPg+PZMYE2OlrBbgq4NRd2jQoAHt27cHYN26daU+R9816pdfTFg893oXwu26d7dSp47K778bilbREEI4x7p1Zq5cUWjSxE67djZ3D6dMDgWjsbGxNG3alCVLlrB///6ix3Nzc5k6dSomk4l777236PHMzEwOHz5couS+devWUne0SU5OJjExkZCQECIjIx39XYQX0jOJMTGlXyQZGRmkpaWhKAo9evRw5dCuUVGp/vbb7YSG2snLU9izR26wQpQlIADi47VvbEuXSqleCGdaskS7xgYNKsQNhcVKcyj9aDKZmDx5Mo899hijRo0iISGB4OBgVq1axcmTJ3nuuedo3rx50fNnz57NJ598wsSJE5k0aVLR4xMmTCAsLIx27drRqFEjCgoKOHDgAFu3bsVsNjN58mSCgoJq7rcUHklVi4PRsvaj17PwERER1K9f32Vju1737t358MMP2bBhA6qqlmgXMBi0gHr1agNbtpiIjPTcb6BCuFtCgoXFi/1YutSP117Ld/dwhPBJVmtxv+igQZ5dsnO4Ft6lSxfmzJnDxx9/zPLly7FYLLRq1Ypnn32WIUOGVOockyZNYsOGDfzyyy9kZmaiKAqNGzfm/vvvZ+zYsbLofS1x8qSBjAwDJpNKhw6lB6Pr168HtK053SkmJgY/Pz8yMjI4fPgwrVq1KuU5VlavNpOaauLJJ2W7QyHK0revBZNJJS3NyOHDBlq2LL1fXAhRdVu2mMjMNBAWZi93q21PUKXGzIiICL744osKn6cv3XS9sWPHMnbs2Kq8tPAhqalaOTsiwkZZiXA9M+ruYDQwMJCYmBiSk5NJTk4uNRjVs7syiUmI8tWrpxIXZyUpyczSpWaeeUa+vAlR0/QSff/+Fjx9Gk7tWzVeeIziftHSv7Glp6eTnp6OyWSiS5curhxaqfRtcPVs7fUiI60YjdrEjJMnPbg5RwgPoJcNly2Tle+FqGmqCsuWef4sep0Eo8Jt9Jn0ZfWL6gvdR0VFVWn92prWvXt3QMvW2u0ly4p16mhZXpD1RoWoyIAB2hJPW7caOXNGvrwJUZP27DFy/LiRwECVXr0kGBWiVDk5sHevVqYvKzOqB6PuLtHroqKiCAoK4vz586SlpZX6nE6dpFQvRGXcfLNKVJQVVVWK9s0WQtQMfaWK+HhLmW1wnkSCUeEWv/xiwm5XuPVWG40bl1zmS1VVj+kX1fn5+RW1C+iB8vWkb1SIytNL9UuWSKleiJqk94t6Q4keJBgVblJRv+ihQ4fIyMjA39+/aLMFT6AHxmUFo/rvs2ePkcuXXTYsIbzS4MFaqX79ehPZ2VKqF6ImHD5sYN8+EyaT6tFbgF5NglHhFlu3asFop06lr8epB3sxMTEEBga6bFwV0YPR5ORkbLaSY2/SROXmm+3YbAo7dkh2VIjytGplp00bG1arInvVC1FD9KxoXJyVsDDv2HNXglHhcnY7bNum9YvqPZbX04NRfQa7p4iIiKBu3bpcunSJXbt2lfoc/XfSA24hRNkSErTsqH4DFUJUz+LFWtuLXnnwBhKMCpc7eNBAdraBwECVO+8smV1UVZWNGzcCntMvqjOZTMTGxgIUjfF6xcGobAsqREWGDNHKiGvWmKW1RYhqOnlSYft2E4qiek2/KEgwKtxAzxhGRloxl5IMOXDgAOfPnycwMJDIyEgXj65iXbt2BSoTjJpQvaNCIoTb3HmnjWbNbOTnKyQmSnZUiOpYulTLinbubKVhQ++5AUkwKlyuon5RPciLiYnB39/fZeOqLL11YNOmTaX2jUZE2PDzU7lwwcDRo3KJCVEeRYHBg8Jk6bkAACAASURBVGVWvRA1QW930a8pbyF3SuFyxcFo6f2i+pJOegbS07Rr146QkBBycnLYvXt3ieP+/tC+vRakSt+oEBXT+0ZXrjRTIDuDClEl584pbN6s3XMSEiQYFaJMly7BgQPax660YFRVVTZt2gR43uQlndFo5O677wakb1SImtCxo43Gje3k5iokJUmpXoiqWLrUjN2u0KGDlaZNS+4S6MkkGBUutW2bCVVVaNbMxo03luxn+e233zh37hwBAQEe2S+qc6RvVAhRPoOheObvokUSjApRFYsWaW0uQ4d6zyx6nQSjwqUqKtF7er+orqK+Uf3327vXSG6uS4cmaqnVq1fzyCOP0LlzZyIiIoiPj+eFF14gIyPD3UOrlKFDtbLismVmCr3vXiqEW124oLBhg3Z/9bZ+UZBgVLhYRZOXPL1fVKf3jV66dIk9e/aUOH7zzSpNmtix22Xxe+FcqqryxhtvMHHiRE6ePMnAgQMZM2YM0dHR7Nixg1OnTrl7iJUSE2OlYUM72dkG1q2Ta0YIRyxbZsZmU2jXzkqLFt5VogeQK164jN0Ov/xS9mL3V68v6qn9ojq9b3TlypUkJyfTvn37Es/p1MnKqVN+bN1qolu30jPBQlTXzJkz+f7773nooYd47bXXMBqv7VO2Wr3js2c0aqX6L74IYOFCP/r29Y5xC+EJFi7US/TelxUFyYwKF7p6sfu2bUtmRq/uF42KinLDCB1T2b5RfbcpIWpafn4+n376KU2bNuXVV18tEYiCtlGDt9AXwF+2zIzFO++pQrhcVpbC+vXadT5kiHf2uHjPXynh9bZtK3+xe30WfadOnTy6X1SnB6ObN2/GZrOVCASio69d/F5RXD5E4eM2btzIxYsXuffee7Hb7axatYpjx44REhLC3XffzW233ebuITokNtbKjTfaOXfOwPr1Jnr3luyoEBVZtsyM1apw551WWrXyvhI9SDAqXEjvF42O9u5+UV27du0IDg4mOzubvXv3EhERcc3xqxe/P3bMQPPm3vlHQnguvV/ZaDQyZMgQjh49WnTMYDAwbtw4XnrpJXcNz2FGo7Y+4tdf+7NwoZ8Eo0JUgj6LXq8seCMp0wuX0cvVFa0v6i3BaEX71Pv7awEpFGeFhahJFy5cAODrr78mODiYuXPnsn37dmbPnk2zZs346quvmDNnjptH6Rh9WZqlS6VUL0RFLl5UWLvWu0v0IJlR4SI5ObB/vxaMduxYMhg9dOgQZ86cwd/fn44dO7p6eFXWtWtXVq9ezcaNG5kwYUKJ49HRVrZtM7F1q5H773fDAIVPU1VtrV6z2cynn35Kw4YNAYiOjubjjz9myJAhfP3114waNarUnw8NDcVg8KycxKBBcNNNcPasge3bw+jfv+ZfIywsrOZPWovI+1c9Nfn+/fgjWK3Qrh106RJaY+d1NQlGhUvs2KEtdt+0qY1GjUoudq9nFqOjowkICHD18KpMz+Ju2rQJu91e4sau941KZlQ4Q3BwMAB33XVXUSCqa926NU2bNiU9PZ1Lly5Rt27dEj+fnZ3tknE6avDgQL78MoBvvy2gc+crNXrusLAwsrKyavSctYm8f9VT0+/frFnBgJkhQ/LIysqvsfPWpMoE3571lVj4rIrWF/W2Er2uffv2BAcHc/HiRfbt21fieEyMFozu2WPkSs3eU4WgRYsWAISEhJR6XH88P98zb1JlGTZMq88vXSoL4AtRlgsXimfRDxvm3ReKBKPCJfR+UT1TeLWr1xf1tmDUZDIRExMDlN432qSJSqNGdqxWhZ07JTsqalbnzp0BOHLkSIljFouF48ePExQURP369V09tGrp0sVKo0Z2Ll0ysHatbA8qRGkWL9YWuo+IsNKypXdPkJVgVDidqhaXqUsLRo8ePUpGRgZ+fn5ER0e7enjVpi/QX1owqihXL/Ek642KmnXrrbcSFxdHeno6c+fOvebY9OnTuXTpEn369PGqtUZBm1WvT8b48UcJRoUozU8/abPo773Xu7OiID2jwgWOHTNw4YIBf3+1aHb51fQlnTp27EhgYKCrh1dtd999N1B+3+iSJX7/C8gL3DBC4cv++te/8uCDD/L666+TmJhIixYt2LdvHykpKTRp0oQ///nP7h5ilQwbVsj06QEsW+ZHfv4VvKiVXAinO3tWITlZC+G8ddelq0lmVDid3i+qrbtZ8rjeL6oHdd4mMjKSoKAgMjMzSUtLK3Fc75Pdtk1b/F6ImnTrrbcyf/58hg8fzt69e5k5cybp6ek89NBDzJ07lxtvvNHdQ6ySmBgbN99sJzdXITFRsqNCXG3xYj/sdoWoKCvNmnl3iR4kMypcwFf7RXVms5mYmBiSkpJITk6mbdu21xxv396KyaRy+rSBkycNNG3q/X84hGdp3Lgx77zzjruHUaMMBi07OnVqAAsW+JGQ4P3ZHyFqyvz52hc0b5+4pJPMqHC68vpFjx07xqlTp4oCOm+l943qLQdXCwqCu+7Ss6PSNypEZd13n3ajXbnSTG6umwcjhIc4eVIhJcWMoqg+0S8KEowKJ7tyRVvWCErfeenqftGgoCCXjq0mXb/e6PWu3qdeCFE5HTrYaNHCRl6ewvLlpfT4CFEL/fijdi3Exlpp0sQ3er8kGBVOtXOnCatVoXFje6kXjR6M6plFbxUVFVXUN7p///4Sx6OjZVtQIRylKDB8uJb50cuSQtR2CxZowaheOfAFEowKp9KXM4qOtqIo1x5TVdVnglGz2Vy05mNppXo9K7xrl5ECmVAvRKXpN9yffzaTmalU8GwhfNuhQwZ27jRhNKoMHuw7fdQSjAqnquz6op06dXL10Gpct27dgNLXG23WzE6DBnYKCxV27ZK+USEqKzzczl13WbFaFRYtkuyoqN3mz9eyoj17WrnhBt8o0YMEo8KJVPXqbUBLBqMbNmwAtP3ovXF90evpfaMbN24s0Td69eL3UqoXwjF6dlQvTwpRG6mqb5boQYJR4UQnTxo4c8aAyaTSvn3Jxe69fUmn63Xo0IE6deqQlZVV6j71V683KoSovOHDtXLkxo0mfv9dSvWidtq1y8jBg0YCAlQGDpRgVIhK0ftF27WzcX3i8+r1RfXytrczm8106dIFKL1vVLYFFaJqmja106WLBVVVisqUQtQ2c+dqn/1+/SzUrevmwdQwCUaF0+gl+tL6RQ8fPkxGRgb+/v5euR99WcpbbzQy0orBoHLypJGMDMnuCOGI++/XMkHz5kkwKmofm624RP+HP/hWVhQkGBVOpJejy1tfNDo6mgAf2nT66r5Rm+3a1oSQELjjDu2xX36RUr0Qjhg61ILZrLJ7t4n9++XWJWqXDRtMnD5tICzMTu/evjOLXidXtHCK/HyKZo3ra2xeTZ+85O1LOl2vQ4cOBAcHk52dzZ49e0oc198LWfxeCMfUr6/Sp492E5bsqKht9BL9sGEW/Hzw4y/BqHCKXbuMWCwKN9xg57bbrp1Zbrfbi4LRHj16uGN4TmMymYqyo+vWrStxXPpGhai6ESOKS/WlbHQmhE/Ky4PFi7UI9P77fXOhaglGhVNcvaTT9Yvdp6Wlcf78eYKCgoiKinLD6JxLn5ClB9xX01sWfv3VhMX3Ki1COFX//haCg1VOnDCSmirVBVE7rFhhJjdXoWlTGzExJSuNvkCCUeEUW7aU3S+6fv16AGJjY/HzwXqDnu1NSUmhsPDaRvNWrezUq2cnP19h927JjgrhiMBAGDxYu6a+/973/nYIURq9RD9iRCEGH43afPTXEu6kqldPXir5LU4PRn1lSafr3XHHHTRo0IDLly+zffv2a44ZDNI3KkR1PPCAFoz+9JOZ/Hw3D0YIJzt3TiExUdt5zBdn0eskGBU17tQphYwMA0ajSmTktZlRq9VatL5o9+7d3TE8pzMYDEUTs/TA+2oxMXrfqASjQjgqLs5KkyZ2Ll0ysHKlbA8qfNuCBX5YrQpRUVbCw323UVqCUVHj9BJ9u3Y2goKuPbZz505ycnKoV68e7dq1c8PoXEMv1ZfXNyqTmIRwnMEAf/iDNolDSvXC1/3wg/YZ1ysCvqpKqZldu3YxZcoUfv31VywWC61atWLs2LEMHjy4Uj+/bds2EhMT2bJlC6dOneLKlSs0adKE3r178+STT1LX17YWqGXK249ezxTGxcVhNPpuMKa3IGzdupUrV64QdFVUHhWlLX5/4oSR06cVGjVS3TVMIbzSH/5QyIcfBpKYaOb8eYUbbpBrSPietDQDO3aYMJlUhg/37WDU4cxoamoqo0aNYtu2bfTr14+RI0eSlZXFiy++yLRp0yp1jmeffZZvv/2WOnXqMHToUEaNGkVgYCBffPEF9913HxcuXHD4FxGeozLBqK/2i+patGjBzTffTGFhIampqdccu3rxeynVC+G48HA7kZFWrFalaFcaIXyNnhXt29dCgwa+/YXLoWDUarXy+uuvoygKs2fPZvLkybz00kssXLiQ1q1bM2XKFI4dO1bhecaOHUtSUhIzZ87k1Vdf5ZVXXmHBggWMHDmS48eP88knn1T19xFulpdXvNj99ZOX8vPziwIzX+0X1SmKUlSqL61vVH9v9JYGIYRj9LKllOqFL7LZ4Icf/AHfL9GDg8FoSkoKx48fJyEhgbZt2xY9HhwczNNPP43VamXBggUVnueJJ57gpptuuuYxRVF4+umnAa20KbzTzp1GrFaFm26yc+ut1zZbp6amkp+fT6NGjbj99tvdNELX0QPupKSkEseK+0YlGBWiKoYPL8RkUtmxQ7YHFb5nwwYTv/9uIDTUTr9+vr8otUNX8JYtW4DSt3DUd53Rn1MVJpN2Y/blXkJfp2f6YmJKLnavB2U9e/ZEuf6gD9Izo7t27SrReqLPqN+500ih73/pFaLG3XCDyj33aDfp777zd/NohKhZ332nZfzvu68Q/1rw8XYoGNVL8LfddluJY6GhoYSFhZGenl7lwcyfPx8oDmyF99HXF9W3vbyaHoz26tXLlUNym0aNGtG2bVtUVS2xNWiLFnYaNLBTUKAUtTUIIRwzcqT2Te6HH/ywlvyTI4RXunSpePtP/TPu6xwKRnNzcwEICQkp9XhwcDA5OTlVGsj+/fv59NNPadCgAY899liVziHcS1WvzYxe7fz58+zcuRPwvf3oy9OzZ0+gZKleUYpL9dI3KkTV3HOPhRtusHP2rIE1a2TNUeEbfvzRj/x8hfBwG1FRvrn95/U84i544sQJnnzySWw2Gx988AH169ev8GdCQ0Mx+Oq+WOUICwtz9xDKdPgwnD0Lfn7Qq1ddAgKKj61cuRKAiIgIwsPD3TRC179/gwcPZurUqaxbt4569epd057QowesWAE7dgQRFhZUzlk8hyd//kTtYzbD/fcX8tlnAcyZ41creuuE75szR6vLjxxZUKLdzVc5FIwGBwcDlJn9zM3NLTNrWpZTp04xduxYMjMzmTJlCl26dKnUz2VnZzv0Or4gLCyMrKwsdw+jTKtX+wF1aN/eSl5eDnl5xccWL14MaJN63PU7uOP9a9euHX5+fpw4cYKtW7fSunXromMRESYghORkO5mZ2R7/R8fTP3/OIMG35xs1SgtGV6wwc+GC4vNL4AjfdvCgga1bTRiNqk9v/3k9h1KLzZo1Ayi1LzQ7O5usrKxS+0nLcvLkSR5++GHOnj3LRx99VGt6CX1VamrpJXpVVa+ZvFSbBAUFFX3Bur5U36GDFbNZ5cwZA8eP174svxA14c47bbRvb8ViUZg/X5Z5Et7tv//VPsO9e1tq1YYoDt0BO3XqBEBycnKJY/p+4zExMZU618mTJxkzZgxnz57lww8/pE+fPo4MRXggPRjt3PnaYPTgwYP8/vvv+Pv7Exsb646huZUegK9du/aaxwMDISJC6wfS3zshhONGjdIySLNnSzAqvJfVCv/9r16irz1ZUXAwGI2NjaVp06YsWbKE/fv3Fz2em5vL1KlTMZlM3HvvvUWPZ2ZmcvjwYTIzM685jx6Injlzhg8++IC+fftW89cQ7padrZCWpn2crs+M6kFYly5dCAwMdPnY3E0PRpOTk7FYru1p0wP3LVtkRr0QVTViRCH+/iq7d5vYuVOuJeGd1qwxk5FhoEEDOwMG1K7+Z4fSMSaTicmTJ/PYY48xatQoEhISCA4OZtWqVZw8eZLnnnuO5s2bFz1/9uzZfPLJJ0ycOJFJkyYVPT5mzBhOnTpFhw4dOHDgAAcOHCjxWlc/X3i+rVuNqKpC8+Y2brrp2tLCzz//DNS+Er0uIiKCBg0acOHCBbZu3crdd99ddCwmxsrUqZIZFaI6wsJUBg2ysGCBHzNn+tG+fV7FPySEh5k1S8vsP/BAIX61LMnv8B2wS5cuzJkzh48//pjly5djsVho1aoVzz77LEOGDKnUOU6dOgXAr7/+yq+//lrqcyQY9S768kTXl+jz8/OL2jpqayuGwWCgV69ezJs3j8TExGuCUf392rfPyKVLULeuu0YphHcbPbqABQv8mDfPj//7vzxqYRFGeLEzZxRWrtSWJxs9usDNo3G9KqVjIiIi+OKLLyp83qRJk0oNKkvLhArvVtb6ohs3biQvL4/GjRtfs4VsbdO3b9+iYPSNN94oerxhQ5VmzWwcO2Zk2zYT8fGycrcQVdG9u5Vbb7Vx/LiRxYv9atVMZOH9vv/eD6tVITraSps29op/wMfIFF5RbVYr/PJL6cFoYmIioGVFa8MWoGWJj49HURT27NnD77//fs0x/T2TUr0QVWcwwEMPaQHozJm1rMYpvJqqwqxZ2sSlhx+ufVlRkGBU1IC9e41cvqwQGmov8Y3u6mC0NmvQoAGRkZEArFmz5ppjxZOYJBgVojq0RcJVNm40c/iw3N6Ed0hJMXHokJE6dVSGDaudGX25WkW1paTo+9HbuHpTrKNHj3L48GFMJlOt2gK0LHpArgfoOj0Y3bbNJPtrC1ENt9yi0ru3dhHNnOnv5tEIUTnffqtl8ocNK8TBfYN8hgSjoto2b9aC0djY0kv0Xbp0oa7MzClawiwpKemaJZ7atLETGmrn8mWF3btlWRohqmPsWK3MOWeOH4W1M8kkvEhWlsJPP2nB6LhxtbNEDxKMimpS1eJex7KC0dpeotdFRkbSoEEDcnJy2LJlS9HjBkNxdlTPMgshqqZfPwuNGtk5f97A0qVmdw9HiHJ9/70fBQUKd91lJSrK5u7huI0Eo6Jajh41cOaMAT8/lcjI4mA0Ly+PDRs2ABKM6gwGA/Hx8UDJUr0eyOtZZiFE1ZhM8NBDWobp22+lVC88l6rCN99on9Fx4wqoxXN8JRgV1aMHT5GRNgICih9PTk4mPz+fm2++mTvuuMNNo/M8eql+5cqV1zx+dWZUrT3bEQvhFGPGFKIoKuvWmTlyRG5zwjOlpho5cMBIUJDKiBG1u6dErlJRLcX9otduXbZixQoA+vfvX6uXdLpe7969MRqNpKWlcezYsaLHIyNt+PurnD9v4NAhuSyFqI6mTe1FE5kkOyo8lZ4Vvffewlq/4Ync9US16D2OV/eLqqp6TTAqioWFhREbGwsUB+wA/v7QsaOU6oXnUlWVxYsXs2nTJncPpVL0iUyzZ/tRUHvnhQgPlZmpsHChNnFJ/6x6MlVVSUxMLNFiVlMkGBVVduaMwpEjRhRFJSamuPF6586dZGRkEBwcTLdu3dw4Qs+kB+hXB6NQHNDLJCbhic6cOcPYsWNJSEjg8ccf5+zZs+4eUrn69bPQuLGdCxcMLF4sE5mEZ5kzx4/8fIWICCsdO3r2xKXjx4/zwAMP8Ic//IGRI0desxpMTZFgVFSZnsG7804boaHFjY7Lli0DoFevXvj7S4nsegMGDAC0rVIvXrxY9HiXLpIZFZ6rYcOGvPDCCxgMBubPn0/nzp2ZOXMmqoc2OZtMxRmnr76Sv0PCc9jt8PXX2mfykUc8d+KS1Wrl008/5e677yYxMRE/Pz/+/ve/YzbX/Jc7CUZFlekZPD2I0ukZPz3oEtdq3rw54eHh2Gy2a0oenTpZMRhU0tON/P67h/51ErWWoii8/vrrJCYmEhERQXZ2Ns8++yzDhg3jyJEj7h5eqR5+uACjUSUlxcy+fXK7E54hKcnE0aNGQkI8d+LSnj176NevH3/5y1+4cuUKXbt2ZcOGDUyYMMEprydXp6iy0oLREydOsGfPHgwGQ9HMcVGSHqgvX7686LG6deGuu7RyjZTqhafq0KEDiYmJ/P3vfycwMJANGzYQFxfHlClTsHrYFmKNG6sMGqSVFCU7KjyF/lkcObKAOnXcPJjr5OfnM3nyZHr16sWOHTsIDQ3l3//+N4sWLaJ169ZOe10JRkWVZGcr7Nmj7RZ09eQlPSvauXNnGjRo4JaxeQO9bzQxMZHCq7aJ0QP7TZskGBVVM2PGDMLDwwkPD+fXX391ymuYTCYmTpzIxo0b6dGjB/n5+fz1r3+lX79+7Nu3zymvWVXjx2ul+h9+8Ccnx82DEbXe8eOwYoVW5n7kEc+auJSamkqPHj344IMPsNlsDB48mM2bN/Pwww87fVUcCUZFlaSkmLDbFVq2tNG4ccl+USnRly86Opobb7yRnJwcNm7cWPR4XJwWjG7cKBMuhOMOHz7Mxx9/TFBQkEter1mzZixYsICPP/6YunXrsmPHDnr16sV7773nlEkOVdGtm5XWrW3k5ir88INkR4V7TZ8OdrtCt24WwsPt7h4OAFeuXOG1115j4MCBHDx4kIYNG/LNN9/wzTff0KhRI5eMQYJRUSXJyVrmrmvX4qxoZmYmycnJAAwcONAt4/IWBoOhKDu6ZMmSosfvvlt7Pw8cMHLunPSNisqz2Wy89NJLtGnTxqW7nimKwujRo9m8eTMDBw7EYrHwzjvv0KdPH/bs2eOycZQ9vuLs6IwZ/rKphHCb/HwtGIXiz6S7paSk0L17dz777DNUVWXkyJFs3ryZwYMHu3QcEoyKKtHLyFcHo8uXL8dms3HXXXfRokULdw3NawwZMgTQglGbTesVrV9fpW1bKdULx82YMYO0tDTefvttjEajy1+/cePGzJw5kxkzZhAWFsbu3bvp3bs377//vtuzpCNHFhAcrPLbb0Z+/tmtQxG12MKFfpw7BzffbC/qZXaXvLw8XnvtNQYNGsSRI0do3Lgx33//PZ9++in16tVz+XgkGBUOu3QJdu7UbnZ33118QS1atAgoDrJE+bp37069evU4d+4cKSkpRY8Xl+olGBWV89tvv/HJJ58wYcIEp04yqIiiKNx3331s3ryZQYMGYbFYePvtt+nfvz9paWluG1fduvDgg1omasoUtw1D1HIzZmhtIuPHF2By45/3X375hZ49exZlQx966CE2b97s1knHEowKh+n9oi1a2GjSRKt5ZWdnk5SUBEgwWllms7mot3bx4sVFj+vZ5uRk6RsVFbNarbz88su0bNmSJ554wt3DAeCmm27i22+/Zfr06dSrV6+ol/TTTz/FbndPn9xjj2nB6OLFcPy43PqEa23bZmT7dhP+/jBmjHtK9IWFhbz11lv079+fgwcPFmVDp0yZQl0370cqV6RwmB4kXV2iX7FiBRaLhTZt2nD77be7a2heZ+jQoYAWjOo3ab1vNC1N+kZFxaZNm8aBAwd4++23nbIYdVUpisKIESPYuHEjvXv3pqCggL/85S8MHTqUEydOuHw8t99up2dPC3Y7fPmlTGQSrqVnRR98EG64wfWNy2lpadxzzz3861//wmazFV2bnrIEo9QBhcP08vHVwaheond107O369GjByEhIWRkZLB169b/LYmlcscdNvbvN7Jpk4mhQz1jVrLwPGlpaUybNo3x48dz5513OvzzoaGhGAzOzUmEhYWxevVqZsyYwQsvvMDGjRvp1q0bU6ZMccmSMVd74QVISoJZswL4xz8CcNGiAz4nLCzM3UPwKqdPw08/af8+aZJr3z+73c6UKVN46aWXKCgooH79+kybNo3777/fZWOoDAlGhUNK6xfNycnh5//NCtAzfaJy/P396d+/P3PnzmXRokV07twZgLg4iwSjokIvvfQSTZs2ZdKkSVX6+ezs7BoeUdnuv/9+oqOjeeqpp9i6dStjx45lwYIFfPDBBy67OcfGQsuWYRw+DNOmXeaRRzxz9xtPFhYWRlZWlruH4VU++CAAiyWQTp2sdOxoctn7l5GRwR//+MeiFro+ffrw8ccf06hRI5f+N6zM9S1leuGQ1FStX7R5cxu33KKVGlauXElBQQGtWrXijjvucPMIvY/eY7to0aKiUr30jYrKSEtL48iRI7Rr165oofvw8HB+/PFHAB544AHCw8Ov2XbWnZo3b87SpUt57bXXMJlMLFy4kLi4ODZs2OCS1zca4ZlntH+fNi0AN7WvilokP794H/oJE/Jd9rqLFy8mLi6OpKQkAgMDee+99/j+++9dtm6ooyQzKhyyYYMWHOl9jQDz588HtKyoK0tuviI+Pp6QkBBOnTpFamoqsbGxRe/v/v1Gzp9X3NJjJDzfiBEjSn1827ZtHDt2jPj4eOrXr0+TJk1cPLKymUwm/vSnP9GrVy+eeuopDh06xLBhw3j22Wd55ZVXnN73+sgj8PrrKgcPGlmzxkTfvp61hanwLfPm+XH+vIFbbrGRkOD8Ktfly5d57bXX+PbbbwFo3749n3/+ucfP5ZBgVDhk/XrtI9O9u/YH/MKFC6xZswYo+8YoyhcYGEhCQgLfffcd8+bNIzY2lhtu0NYb3bfPxPr1JoYPl1K9KOmtt94q9fGXX36ZY8eO8eSTT9KhQwcXj6pyoqKiWLt2La+//jrffPMNH330EevXr2fGjBk0b97caa8bEgIPP1zA1KkBfPZZAH375jrttUTtpqowbZqWFX38cecv57R7924ee+wxDh48iKIoTJo0iVdffRU/Pz/nvnANkDK9qLQLFxR279b6Rbt314KjRYsWYbVaiYiIIDw851Z4awAAIABJREFU3J3D82p6IP/TTz8V7VXfo4cW8K9fL6V64Zvq1KnDhx9+yH/+8x/q1avH9u3b6dGjB/PmzXPq6z7xRAEGg0pSkpl9++Q2KJxj3ToT+/aZqFNHZcwY5/Unq6rK9OnT6du3b9GSTQsWLODNN9/0ikAUJBgVDtiwwYSqKtxxh42GDbWy8dy5cwHJilZX9+7dadiwIVlZWUWTwXr21AL+deukgCF825AhQ1i/fj2xsbHk5ubyxBNPMHHiRC5fvuyU17v11uIdcD77LMApryGE/tkaNaqA0FDntFplZWXx8MMP8/LLL1NYWEj//v1Zv349PXr0cMrrOYsEo6LS9AydnhU9ceIEKSkpKIrC8OHD3Tk0r2c0Grn33nsBirJCsbFWTCaV9HQjx47JpSoq7x//+AcHDhzw2BJ9aW655RYWLlzIn//8ZwwGA3PmzKF3797s27fPKa/39NPaZJK5c/04c0Z63UXN2r/fwOrVZhRF5cknnbPIfWpqKt27d2fZsmX4+fnxzjvvMHv2bBo0aOCU13MmucOJStP7RXv21MrH+sSluLg4br75ZreNy1fo2eXly5eTk5NDcDBER2vvtWRHRW1gMpl4+eWX+emnn2jUqBG//fYbffr0YdasWahqzWaWOne20amTlcJCpWhBciFqyqefalnRQYMstGhRs8s22O12Pv74YxISEjh16hQtWrRg1apVPPnkk147iViCUVEpJ04YOHLEiNGoEhtrQVVVKdHXsMjISFq2bEleXh7Lli0DiieKrVsnfaOi9oiLi2PdunXEx8eTn5/PM88845Sy/aRJWnb0q6/8yZV5TKKGnD6tMHeu1qupf8ZqSlZWFqNHj+bNN9/EZrMxfPhwfv75ZyIiImr0dVxNglFRKXpmrmNHG3Xrws6dO9m/fz/+/v6y61IN0bdPBPjuu++A4r7RDRtMsiaiqFVuvPFGfvjhB/7yl79gMBj47rvv6Nu3L7/99luNvcaAARZatLBx8aKB2bMlOypqxvTp/lgsCp07W+nUyVZj592xYwc9e/ZkxYoV+Pv788EHHzBjxgy37ytfEyQYFZWiZ+b0ftHZs2cDkJCQQL169dw2Ll8zatQoFEVh/fr1pKenExVlo04dlQsXDOzda3T38IRwKYPBwPPPP8/ChQtp1KgRaWlp9OnTp2hR/+oyGuGPf9QyV5995o9VlhwV1ZSTU7zIfU1lRVVV5auvvmLAgAGcOHGC5s2bs3LlSsaNG+e1ZfnrSTAqKqSq1/aL5uXlFZXoH3roIXcOzec0bdqU7t27AzBnzhz8/Io3GJC+UVFbde3albVr1xIXF0dubi6PPvoor776KhZL9dffffDBQho0sHP8uJGFC6UdRlTPt9/6k51toFUrG/37V//zeeXKFSZMmMCLL75IYWEhCQkJrF271uvL8teTYFRUaN8+I+fOGQgKUomOtrJ06VIuXbp0TeAkas7o0aMBLRi12Wz06KH9QVu7Vm6UovZq2LAhCxYs4LnnngNg2rRpDBs2jDNnzlTrvIGB2rqjAB99FEANz5MStUhBAUydqk1cmjgxH0M1I6wjR47Qr18/fvjhB4xGI3/729/45ptvfKIsfz0JRkWF1qzRMnJxcRb8/IpL9KNGjcJQ3atNlDBo0CBCQ0M5deoU69evp1cvLRjdvNlEXp6bByeEG5lMJt544w1mzpxJSEgImzdvpmfPnqSmplbrvI8/XkBwsMrevSYSE6UCIarmhx/8yMgw0LixnQceqN4i96tWrSI+Pp69e/dy44038tNPPzFp0iSfKctfTyIJUaE1a7SMXO/eVtLT01m3bh2KojBq1Cg3j8w3BQQEcP/99wMwa9Ys2rSxc/PNdvLzFTZulBulEIMGDWLNmjW0adOGM2fOMGTIEL7++usqL/9Ur57K2LHF2VEhHGWzwZQp2mdnwoR8/Ks4H85ut/P+++8zcuRILl26RKdOnVi7di1du3atwdF6HglGRblyciAlRQuA+vSxFGVFu3fvTtOmTd05NJ+m9+IuXbqUzMwL9OmjZUf1LwZC1HatWrVi1apVDBkyBIvFwp/+9CeeffZZCgqqtsD400/n4+ensnmzmZQUmSwoHLNkiZlDh4zUq2cv+mLjqJycHMaNG8fbb7+NqqqMHz+exYsX14p1vCUYFeVKTjZjsSi0aGGjSZN8vv32WwDGjBnj5pH5toiICNq3b09hYSGzZ8+md28tGP35ZwlGhdAFBwfz9ddf8+abb2IwGJg1axZDhgzh9OnTDp+rcWOVBx/USqsffhhY00MVPkxVizPqjz9eQEiI4+c4evQo/fr1Y8mSJfj5+fHvf/+b999/32v2lq8uCUZFuRIT9RK9hcWLF3P27FkaNWpEQkKCm0fm2xRF4dFHHwXgq6++Ii4uH6NR5eBBI+npctkKoVMUhWeeeYbvv/+e0NBQtm7dSu/evdm+fbvD53rmmXwMBpXVq83s3CnZUVE5iYkmdu40ERSkFk2Gc0RSUhK9e/cmLS2NRo0asXjxYh5++GEnjNRzyV1NlElViycv9e5t4csvvwS0rKjZLBk6Zxs+fDj16tXj+PHjbNmSSEyMtsST/t9ECFGsd+/eJCYmEh4eTkZGBgkJCcybN8+hc7RoYWf4cC07+q9/Se+oqJiqwnvvaZn08eMLaNCg8n3Lqqry+eefc//993Px4kU6duzImjVr6NSpk7OG67EkGBVlOnTIwPHjRvz8VOrX30lKSgomk4mxY8e6e2i1QlBQUFHv6BdffEHv3nowKl8EhChNy5YtWblyJf369SM/P58nnniC//u//8PuwPZlL7yQj6KoLFnix759cosU5Vu3zsS2bSYCAtSiDRQqo7CwkOeee45XXnkFm83Ggw8+yOLFi2ncuLETR+u55EoTZdKDnrvvtjJ79heANou1tl4s7jB+/HgURfnfzOE0ANavN1NYvVVDhPBZdevWZdasWTz77LMAfPjhh4wbN67S+9q3aWNnyBCtR/tf/5LeUVG+99/XMuhjxhTQsGHlsqKZmZncd999/P/27jssiuMN4Pj3GvVESURjb4j1F2NDRRLUGCWKXbFhDfYeEU2UWKNGjTEBW0xsKErsFSyxiyKo0cQajRI1YkFUkHZlf39cOCU2EPDgbj7Pw5Owe7f3OuzOvTszOxMcHIxcLmfq1KnMnz8fGxvLbY0XyajwUunjRd3c7hlXXPL19TVlSBanXLlyfPzxxwAcPvwjRYroefJExrFjoqteEF5GoVAwceJEFi5ciJWVFdu3b6dFixbcunUrU+/38zO0cG3erOLyZfE1KbxYRISSiAgVVlYSw4dnrlX04sWLfPLJJxw9ehS1Ws2aNWsYMmSI2c4fmlniKhNeKCEBjhwxJDwPH/5IUlISVatWxc3NzcSRWZ5+/foBsHr1Kj766B4Au3aJrnpBeJ3OnTuzZcsWChcuzO+//84nn3zCyZMnX/u+atV0tGiRhiTJxNhR4aW++cZwbvj4pFK8+OtbRQ8ePEj9+vW5du0aZcqUYdeuXXzyySe5HWa+IJJR4YX271eRliajQoUkNmxYBMDQoUMt/u7NFJo2bUrlypVJTExEofgRgLAwlVi2UBAyoV69euzdu5fKlSsTGxvLRx99xI4dO177Pn9/Q0vX+vVWXLokviqFjA4fVnL4sKFVdOTI17eKrly5kk6dOvHo0SPq1avHnj17qFKlyluINH8QV5jwQuHhhpa30qWDuXPnDsWKFaN9+/YmjsoyyWQyhg4dCsCBAwuxskolJkbBxYvi8hWEzChdujTh4eE0adKEpKQkevbsyYIFC165YtP77+vw8jK0jn7zjRg7KjwlSTBjhqFVtFevVEqWfPl5pNfrmTJlCiNHjkSr1dKtWzc2bdpE4cKF31a4+cIbfZudPXuWfv36UbduXT744AM6duzItm3bMv3+uLg4Fi9ezPDhw2nSpAmVKlWiUqVKbxKKkAu0Wti9WwXouXLlOwAGDhxoMZPv5kUdO3akWLFi3Llzm4oVVwEQHi7+HoKQWQ4ODqxdu5aBAwciSRITJkxg7NixaLXal75n3LhkADZvFk/WC08dOKDk+HEV1tavbhVNSUmhX79+zJs3DwB/f39WrVpl0Q8qvUyWr67IyEi6detGdHQ0zZs3p2vXrsTHx+Pn58eiRYsydYwrV64wd+5cdu/ejUqlwtZW3HXmJVFRSh48kGNvv50bNy5RoEABMZ2TiVlZWTFgwAAA4uK+BSTCwsS4UUHICqVSyYIFC5g8eTJgmDKtR48eL33SvmpVPW3aGKaumDlTfE8J6a2ihnOhd+9UihV7catofHw87du3Z9OmTahUKubPn8+4cePEULeXyFIyqtVqmTBhAjKZjNWrVzNt2jTGjh3Lli1bqFixIoGBgVy/fv21x6lQoQKrVq0iOjqaXbt28d57771p/EIuMCQ5Era2MwHo3bs3Dg4Opg1KoHfv3qjVamJjLwDbOXlSwd27omIThKyQyWQMGzaM5cuXY2Njw65du2jTpg337t174ev9/ZON847+9ptYlcnS7d6tIjpaia3ty1tFY2Ji8PT05Pjx4zg4OLBu3Tq6du36liPNX7KUjB4/fpy///4bLy8vqlatatyuVqsZPHgwWq2WjRs3vvY4hQsXpm7duqjV6qxHLOQ6w3jRfdy/fwxra2sGDhxo6pAEDN2M6UuE2tpOQpLSh1MIgpBVrVu3ZtOmTTg6OnLq1CmaN2/O1atXn3tdlSp6OnUytI5OnSpaRy2ZXg/Tpj1dg/5F84qeOXOG5s2b8+eff1KiRAl27tzJRx999LZDzXeylIyeOHECAHd39+f2NWzYMMNrhPzpzz/lXLkiRyabBECvXr3EJPd5yJAhQ7C3tyc5+RSwQ3TVC0I21KtXj127dlG2bFmuX7+Op6fnC6d+GjcuBaVSYv9+lXHKO8HybNyo4tw5JQ4OekaMeL5VdN++fbRq1Yq7d+9SrVo1du3alaHhTni5LCWj6V3wZcqUeW5fwYIFcXR0JCYmJkcCE0xj+3YrYB+SdARra2vjKiZC3lC4cOFnFh6YxL59ShITTRqSIORrzs7OhIeHU6NGDeLi4mjTpg179uzJ8JqyZfX07p0KwJQptmJaNQuk0TwdKzpsWCqOjhlPgtDQULp06UJiYiIeHh7s2LGD4sWLmyLUfClLt3iJ/37rFShQ4IX7DePZYrMfVSYULFgQudzynm50dHTM1eNv2yYBkwAYMGCA2d3V5Xb5vQ3jx4/np59+4smTk6Sm7iQiwovOnd/OZ5tD+QnCfxUpUoStW7fSu3dv9u/fT7du3QgMDKRLly7G14wenUJIiDXR0UrCwlS0aKExYcTC27ZqlRXXrilwctIzYEDGVtHAwEAmTpwIQIcOHZg/f76YfSaL8m1/w6NHj0wdwlvn6OhIfHx8rh3/2jU5v/0WCRzBysqaAQMG5OrnvW25XX5vi1KpxNfXl++//x74ilWrmtKsWXKuf665lF9WiOTbchQoUIC1a9cybNgwfvnlFwYPHszdu3cZPnw4AEWLSgwYkMJ339kyZYotzZppUObbb1AhKxITMc41O3p0CumPu+j1eiZOnMj8+fMBGDRoEFOnTrXIhrLsylKJpT9wlJCQ8ML9iYmJL201FfK+zZvlgD8Affv2EWNF87ChQ4dib+8AnGbXrvW8ZGYaQRCyQKVSsWDBAoYMGQLApEmT+Oqrr4yT448YkcI77+i5fFnBqlWi5ctSBAXZcPeunHLldMbhGhqNhqFDhxoT0UmTJvH111+LRPQNZanUypYtC/DCcaGPHj0iPj7+heNJhfxhxYr1wBlsbAri5+dn6nCEV3j33XcZNcownlejmcCOHToTRyQI5kEulzN16lQmTZoEQFBQEMOGDUOr1eLgAGPGGLpoZ860FeO1LUBsrIygIMMT9AEByVhZQXJyMr169WLt2rUoFAqCgoKMLejCm8lSMlq3bl0Ajhw58ty+o0ePAuDq6poDYQlv28WLqfz9t2HMy9Cho3jnnXdMHJHwOgMHDkCtLg7E8MMPP5k6HEEwK8OHDycwMBC5XE5ISAh9+vQhJSWFPn1SKV9ex927cmOSIpivb76xJSlJRp06Wtq00fD48WM6depEeHg4NjY2BAcH061bN1OHme9lKRlt0KABpUqVYvv27Vy4cMG4PTExkQULFqBUKmnXrp1x+4MHD7h69SoPHjzIuYiFXPHVV0uAG1hbl2LUqH6mDkfIBDs7OwYPngDA+fPfcPOmZY3nFITc1r17d1asWIG1tTU7duygS5cupKYmEBBgGKMdFGTD7dti4QlzdfGinOBgw3CMKVOSiIu7T5s2bYiIiKBAgQKsX78eT09PE0dpHrKUjCqVSqZNm4YkSXTr1o2AgAC++eYb2rRpw59//snQoUMpV66c8fWrV6+mRYsWrF69+rljjRs3zviTvvLFs9tEAvv2xMbGsm/fHADatw8Qy7PmI35+nVCp/gc8ZNSoWaYORxDMTsuWLfnll19Qq9UcOnSIdu3a8eGHd6lbV0tSkoxp00R9aY4kCcaPt0Ovl+HllUbJkjG0bNmSM2fOULhwYbZt24abm5upwzQbWR5pW79+fUJCQqhduzZhYWGEhIRQqFAhZs+ezaBBgzJ9nE2bNhl/0qeMenZbUlJSVkMT3tDnn09Cr38M1CUgoIOpwxGyQKlU0KqVIQn99dclnD171sQRCYL5+fDDD9m8ebNxtaZWrbzw87sGwJo11pw6JZYJNTe7d6vYv1+FlZWEr+85WrZsaVxVaceOHbz//vumDtGsyCQpf07fa2lTzEDuTK0TERGBl5cXIMPVNYLw8Eo5evy8xFynJjp/Xo67+wAglJo167JnT1iuPNFpruX3KuY+tZOl/T0he+fxhQsX6NChA7GxsVSoUIEqVcLYvr0irq5awsISkFlAj70l1ANpadCwoQNXryro3v0ke/e25M6dO1SoUIFNmzZRsmTJNz62JZTff2WmHhVzEFgwjUbzzFPzA+jXr7pJ4xHeTNWqeipX/gZQc/p0FGvWrDF1SIJglqpUqcKOHTsoVaoUV69eJTq6MTY2lzlxQsnGjWJpXnOxZIk1V68qcHSMYseOT7hz5w5Vq1Zlx44d2UpEhZcTyagFW7hwIRcvXgTexd5+mlhRJB/r3t2J9JWzJk2axP37900ajyCYq3LlyrFz504qVqxIbOwtFIqPgHN89ZWdmOrJDNy5I2PWLFvgKMnJTXn4MJ5atWqxbds2ihQpYurwzJZIRi3U5cuXmTFjxr+/zaZNGzXiuaX8q0OHNGSyYcD/iIuLY+zYsaYOSRDMVokSJdi2bRvVqlXjyZM7yOUe3L59hm+/FZVofjd5si0JCQeQy5uTkvIYNzc3Nm3aZPZDdkxNJKMWSKfTMWzYMFJTU1EomgG96dw5zdRhCdnw3nsSjRvLgGXIZAo2bdrE9u3bTR2WIJit9PXsa9WqhV4fBzQhKOg3Ll8WX6v51bFjStau3Q+0QK9/QuPGjfnll1/EypJvgbhqLNDixYuJiorCxqYAOt0SSpSQaNhQa+qwhGwy3FDUxsFhDAB+fn5iijRByEWOjo5s3LiRevXqAQ/R6ZoxcOBp8udjwZZNq4WBA/cAbYAUPD09CQkJwc7OztShWQSRjFqYixcvMm3aNADKlPkGKI23dypiOd38r0WLNNRqiUePJlGqVGXu3r3L6NGjyacTZghCvuDg4MC6deuoU+dDIIHffmvJjBnHTB2WkEUjRuzkxo3OQBqenm1Yvnw51tbWpg7LYogUxIIkJyfj6+tLSkoK9es34dKlgQD06CG66M2BvT106pQGWFO+/M8olUq2bNnCqlWrTB2aIJg1tVrNli1rKVeuKZDEnDkd2b79gKnDEjLpxx83sGZNL0BLrVqdWblyCVZWVqYOy6KIZNSCTJw4kfPnz+Pk5MT//vcTIKNJEw1ly+pNHZqQQ/r0SQUgIqIBI0calgr94osvuHTpkinDEgSzZ2try759K7GzawEk07t3V/bs2WPqsITXWLs2lHHjBgA6ChfuSVhYEEql0tRhWRyRjFqIHTt28NNPPwHwww8L2Ly5DAC9e6eaMiwhh1WvrqN2bS0ajQxb29F4eHiQlJREv379SE5ONnV4gmDWCha0YdWqlUBb9PpUunfvwa5du0wdlvASq1evZsiQwYAemcyXzZvnoVKJ1bRMQSSjFuDKlSsMHjwYgCFDhpCU5Mm9e3Lee09P8+ZiblFzk36DERxsy/z5CylcuDB//PEHfn5+YvyoIOSyRo3kdO0aDHREq02jZ8+e7Ny509RhCf+xcuVKhg8f/m+dOJhRo+ZRtaqpo7JcIhk1c48fP8bHx4eEhATq169PQEAAK1YYBmV3756KSiwaYnbatUvDwUHP9esKLl4syZIlS5DL5axZs8bYOi4IQu6ZNk1L4cKrgc5oNBp69+7Ntm3bTB2W8K/ly5czcuTIfxPRYZQv/z1+fuLZCVMSyagZ0+v1DBkyhMuXL1OsWDGWL1/OtWs2HDqkQiaT6NlTXHzmyM4O47yxP/1kjYeHB5MnTwZg/PjxREREmDI8QTB7jo4Sc+akAauQybqh1Wrp27cvW7ZsMXVoFm/p0qV8/vnn//42EphHUFASNjamjEoQyagZmzp1Kjt27MDKyooVK1ZQpEgRFiwwXHEtW2ooVUo8uGSufH0NXfW7dqn48085gwcPpmPHjmi1Wnr27MmVK1dMHKGQE+7cucPy5cvp27cvjRo1onr16jRs2JBhw4Zx5swZU4dn0Vq31tC6tR5JWkmhQt3R6XT4+vqyefNmU4dmsX766Sf8/PwAUKs/B+bSv38a9evrTBuYIJJRc7V06VK+//57AObNm0edOnW4e1dGaKhhuorBg1NMGZ6QyypW1OPpmYYkyVi40AaZTMa8efOoVasWDx48wNvbm3v37pk6TCGbgoODmTFjBjdu3MDNzY0+ffpQu3Ztfv31V7p06SLGKprY7NlJvPOOjIcPV1CtmiEh7devHxs3bjR1aBbnxx9/xN/fH4Bq1T4nMXEOZcvqCQgQD3bmBSIZNUPh4eHGi+6LL76gS5cugKHLNi1NRu3aWurVE3eC5m7IEEPr6Nq1Vty/L8POzo6QkBDKlCnD9evX6dq1K0+ePDFxlEJ2vP/++6xevZo9e/Ywffp0Ro8ezQ8//MDKlStRKBRMnjyZtDQxHMdUnJwkZs1KAhRcuLCcZs0MCemAAQPYsGGDqcOzGIsWLWLcuHEAtGo1inPn5iCTwQ8/JGFvb+LgBEAko2bn0KFD9O3bF71eT48ePYxdEklJsHSp4cGlIUNSkMlMGaXwNri5aalZU0tKisz4ty9SpAi//PILjo6OnDp1Ch8fH1JSRCt5ftWsWTPq1Knz3PY6depQr149Hj58KOaYNbH27TV06JCGXq/kypVleHt3Myak69evN3V4Zm/hwoV8+eWXAAwYMIpjx2YDMgYPTsXdXSyDnVeIZNSMHD9+nG7dupGSksKnn37KnDlzkP2bda5da8WDB3JKl9bh5SWmc7IEMtnT4Rg//WRN+jSjFStWZO3atdjb23Pw4EF69+4tWs/MUPrE3WICb9ObPTuJYsX0/PWXCju7n+jevTt6vZ6BAweybt06U4dntubPn8/48eMB+Pzz0dy4MYP79xVUqaJj/HjRPZ+XiGTUTJw4cQJvb2+SkpJo0qQJS5cuRfXvvE1pafD994YHlwYOTEV8N1mONm00lCql4/59OStXPl1nuW7duqxduxYbGxt2796Nr6+vSEjNyD///ENERAROTk64uLiYOhyLV6iQxPz5hiExy5fb4um5gB49eqDX6xk0aBC//PKLiSM0P0FBQQQEBAAwevRoSpSYxM6d1qhUEosWPRFPz+cxIhk1AwcPHqRDhw4kJibi7u7OypUrsbZ+mniEhFhx44aCokX19OwpVlyyJEoljBplaB2dN8+GZxdhatiwIatWrcLKyort27fj4+NDUlKSiSIVcopGo8Hf35+0tDT8/PxQKMSKMnlBo0ZaY0/F8OFq/Pzm0bNnT/R6PYMHD2bt2rUmjtB8BAYG8tVXXwEwZswY2radwPjxhsGh48cn87//iWcm8hqZlE+XZImPjzd1CG+do6Pjc//u8PBw+vTpQ2pqKo0bN2blypXYPzMiOzUV6tQpyK1bcmbMSGLAAMtNRl9UfpYgLQ3q1nXgxg0F06YlMXhwxnNg37599OjRg+TkZNzc3AgJCcHBweG541hi+Tk6Opo6hCzR6/WMHTuWrVu34u3tzdSpU1/7erlctEm8LWlp4OYGJ0/CRx/B3r16hg0bzOLFi5HJZCxdupTevXubOsx8bebMmXzxxRcATJw4EX//Sbi6wrlz4OkJO3aAOOXzHpGM5iP/TQaWLVuGv78/Op0OLy8vlixZkqFFFODnn60ZM8aOYsX0nDz5yKK7JiwxmUoXHGzFiBH2ODnpOXXq0XNPkB4/fpzOnTuTkJBAtWrVWLNmDSVLlszwGkssv/yUjEqSxPjx49mwYQOtW7fmm2++eW2iaWl/TzD9efzXX3IaNXIgMVHGmDHJjB2bhL+/P0uXLkUmk/H999/j4+Njsvhex9Tl9ypz585l2rRpAIwbNw5/f39GjLAjONiaokX1HDr0GCcn06Y8ebn8cktm6lFxf5AP6fV6AgICGD16NDqdjq5du7J06dLnEtGUFJg715B9fv55ikUnopauS5c0ypbVce+enJ9/tn5uf/369dm6dStFihTh3LlzNG/enLNnz5ogUuFN6PV6vvzySzZs2ICXlxczZ84ULZ55VPnyeubONYwfnTPHhl9/tWL27Nn069cPSZIYPnw4y5cvN22Q+dCsWbOMieiXX36Jv78/q1dbERxsjUxmGCdq6kRUeDlRW+Uzjx49wsfHh/nz5wOGiy4oKOiFT8wuXmzN7dtySpTQ4+Njud3zAqjOzQALAAAgAElEQVRUMGbM07GjDx48P7dXjRo12LNnD5UrV+b27du0aNFCTM6dD+j1esaPH8/GjRtp0aIFs2bNEuNE87iOHTX06ZOKJMkYMMCeGzcUzJw5k/79+wPw+eefs3TpUhNHmT9IksT06dOZOXMmAAEBAfj5+fH77wrGjLEDYNy4FDw8xDROeZlIRvORP/74g48//pjw8HCsra1ZvHgxfn5+xumbnhUbK+Pbb20BmDAhGevnG8MEC+PtnUa1aloePpQzc+aLm8lLlSpFeHg4jRo1IikpCV9fXwICAtBqRUWeFz2biHp6ejJ79myRiOYT06cnUauW4Xrs1cuelBQZM2bMYPDgwQD4+fmxaNEiE0eZt0mSxLRp05gzZw4AkydPZtSoUTx8KDOW6SefaBg9WsylnNcpJk2aNMnUQbwJS5qoW5IkgoOD6dq1K3fv3qVUqVKsX7+ejz/++KXvGTfOjpMnldSurWXGjGQxyT1ga2trUefNf8nlhmVC16615swZBV5eaS/strK2tqZDhw6kpaURGRlJVFQUhw8f5pNPPnluKIi5s7W1NXUIrxQUFMSKFSuws7PDw8ODU6dOceLEiQw/Dg4OODk5vfD9lng95JV6QKmEJk00hIZacf26ghs35Hh5aWnSpDGpqalERkby66+/YmtrS7169UwdrlFeKT9JkpgwYQKBgYEAfP311wwZMgStFnx81Pz2m5LSpXWsX5+InZ2Jg31GXim/tykz9ahIRvO4hw8fMmjQIL7//ns0Gg2NGjViw4YNlC9f/qXvOX1awZgxhidUVqxIpEQJMU4GLLMS+K8yZfScO6fg0iUlV68q6Nw57YU3KnK5nEaNGlG1alX27t3LX3/9xbJlyyhdujRVqlR5+4GbSF5PRjdt2sTFixfRaDRER0c/l4ieOHGCGjVqvPRvZonXQ16qBxwc4IMPdKxbZ8UffyixtZWoX1+Hh4cHkiQRERHBgQMHkMlkuLm5vbAX7G3LC+WXPmvEjz/+CMCcOXOMQxzGj7dlwwZr7OwkNmxIpEwZvSlDfU5eKL+3LTP1qHiaPg/buXMnfn5+xMbGolQqmT59On379n3lgwk6HXz6aQGio5V4e6eyaJGYNzKdJT7F+CLXr8upX9+BtDQZy5cn0rr1q1fkun79Ov379yc6OhqAtm3b8s0337y0tc2c5Ken6d+EJV4PebEe+Okna/z97ZDJJFavfoKnp+GafPbp8OHDhzNx4kSTJ6SmLj+tVsuIESNYs2bNc7MPrFxpxciRTxtiWrXKe6sNmrr8TCEz9ahoGc2D7t69y4gRI/j6669JTEzE2dmZ0NBQfHx8SE199YNIixZZs2qVNWq1RHBwIgUKvKWg8wFLvCN9kUKFJFJT4dgxFRERSrp1S+NVN66FChWiS5cu2NracvToUS5cuEBISAjFihWjatWqJv9yzE15vWU0uyzxesiL9UDNmoaZLk6fVhIeruLjjzW8955EgwYNKFCgAPv27SMyMpK4uDiaNm1q0mvOlOWXlpZG//79Wb9+PQqFgoULF9K1a1cA9u9X0r+/PXq9jC++SKZPn7y5olxePP9yW2bqUfEAUx6i1Wr58ccfqVu3Lhs3bkQulzNixAgOHjxIzZo1X/v+v/6S8/XXhj/6lClJFC+eLxu9hbdg9OgUXFx03L0rZ/z411cUKpWKKVOmsGfPHqpVq8aDBw8YMGAArVu35sKFC28hYkEwXzIZzJyZhIeHhidPZHTpoubvvw1fz4MHD2bu3LnIZDJ+/vlnhgwZgkaT91r8cltSUhI9evRgy5YtWFlZsWzZMjp16gTAH38o6NVLjVYro0OHNPz8LCvZMwciGc0jfv31Vxo1asS4ceNISEjggw8+YM+ePUycODFTdxV6PQwfbkdysgwPDw29euXNu0Ihb7CxgaCgJ8jlEqGh1uze/fzUYC/ywQcf8OuvvzJ+/HhjS6mHhwdjx47l/v37uRy1IJgvlcrQtVy1qpY7d+R4e6uJjze0gPbu3ZtFixahUCgIDQ2lV69eJD+7tq+Ze/ToER07dmTPnj3Y2tqyevVqvLy8ALh5U0bnzmoSE2W4u2sICnoiHtjNh0QyamK//fYb7du3p1OnTpw/f55ChQrx7bffsmfPnky1hqZbuNCaiAgV9vYS33+fJC5G4bXq1NEZlwYdOdKee/cyd9JYWVkxevRojh07RosWLdBqtSxZsoTatWszd+5cEhMTczNsQTBbDg4QGppIsWJ6Ll9W/JtkGfZ16tSJ4OBgrK2tCQ8Px9vbm8ePH5s24Lfgzp07tGrViuPHj+Pg4MCGDRuMM8ncvy+jQ4cC3L4tp1IlHcHBT8Q0hvmUSEZN5OzZs3Tv3p0mTZpw4MABVCoVgwYNIjo6mj59+mRprsDISAWTJz/tni9dOm89PSjkXV98kUylSjpiY+X072+PTpf595YuXZpVq1axadMm3n//fRISEpg2bRo1a9bkhx9+EEmpILyBEiUk1q1LoFAhPdHRSnx81KQPMfT09GT9+vWo1WqOHj1Ky5YtuX37tmkDzkVXrlzB09OTP/74gyJFirB9+3bq168PwKNHMjp2VPPnnwpKlNCzbl0CBQuKoWn5lUhG3yJJkjh06BAdOnSgUaNGhIWFIZfL8fb2JjIykq+//pp33nknS8eMi5Px2WeGsTLt26fRu7fonhcyz9YWli1LxM5O4uBBFbNnZ33NWA8PD/bt28fixYspX748cXFxTJo0iRo1ajB9+nTRfS8IWVS1qp516xJRqyUOHVLRt689af9W7Q0bNmT79u3GpXs9PT25fPmyaQPOBdHR0Xz66afExMRQrlw5wsLCqF69OgAJCdCli5qzZ5U4OenZtCmBkiVFIpqfiWT0LUhJSWH16tU0btyYtm3bsn//fuRyOR07duTYsWMsWrSIsmXLZvm4Wi3072/PP//IqVhRx3ffibEyQtZVrqxn7lzDFGCzZ9uwd2/mxo8+Sy6X06lTJ44fP878+fMpX7488fHxzJkzh/fff5/hw4fzxx9/5HTogmC2atfWERKSiI2NRHi4Fb1725M+mcr777/Prl27qFChAjdu3MDT05MjR46YNuActG3bNtq0aUNcXBw1a9YkPDyccuXKAfD4MXh7FyAyUknBgno2bEjE2Vn0BuZ3IhnNRRcvXmTChAlUr16dYcOGcfbsWWxsbPD19eXkyZP8+OOPVKxY8Y2OLUkwZowd+/ersLWVWLZMTOMkvDlv7zR69TKsld23r5rff3+zJSWVSiVdu3YlMjKSZcuWUbNmTVJSUli1ahUfffQRn376KWvWrCEpScx/Kwiv4+6uZdWqpwlpz55Pu+zLlClDeHg4devW5eHDh3To0IE1a9aYNuBskiSJwMBAevfuTXJyMk2bNmXLli3GOY0fP4aOHTMmotWrZ2FskZBniUnvc9iDBw/YtGkToaGhxknCAUqWLImvry8+Pj5Z7opP9+xkuXPm2DB9ui1yucTKlU9o0cLypvrIKkucbDgr0tLA21vNoUMqihbVs3t3AqVKPW1xeJPykySJyMhIlixZwtatW9H9Oyi1QIECtGnThs6dO9OgQYNXLuRgSmLSe/OTH+uBAweUdO+uJjlZxkcfaVi5MhEHB8O+5ORkhgwZwubNmwHD5PgBAQFZeu4gK3Kr/FJTU/Hz82P16tUA+Pr6Mn36dJRKQ0/NvXsyvL3VnDmjpFAhPZs2JVKjRv5LRPPj+ZddmalHRTKaAx4+fMjOnTvZsmULBw4cMM4Bp1Ao8PT0pEePHjRp0sR4Ub2p9JN4xQorRo0yrDIxa1YSvr6vnghfMLDESiCrHj+GFi0KcP68kooVdWzblkCRIoYqIrvld/v2bdauXUtwcDDXr183bi9RogStW7emTZs21KlTJ08lpiIZNT/5tR44ckRJt26GKYxq1NASGppovDb1ej3Tp09n7ty5AHz88ccsWbKEQoUK5XgcuVF+t2/fplevXkRHRyOXy5k6dSoDBw40Tu5//bqcjh3V/PWXgsKFDS2i//tf/ktEIf+ef9khktFcdO3aNXbv3k1YWBgRERFotVrjvho1atCpUyc6dOhA0aJFc+wzHR0dmT07CX9/OwBGjEhh4kTLmWsuuyyxEngTt27JaN7cwTgWedOmBIoXl3Ks/PR6PceOHSM0NJQtW7aQkJBg3Pfee+/RvHlzPv30U9zd3bGzs8v252WHSEbNT36uB06fNkz3dP++nHLldISGZhwvuWHDBoYPH05ycjLlypVj2bJlvP/++zkaQ06X39GjR+nXrx+xsbEUKlSIn376iSZNmhj3nz6toFs3NXfuyCldWseGDYlUqJB/x4jm5/PvTYlkNAclJCQQERHB/v372bdvH1euXMmwv0qVKrRt25Y2bdrg4uKSKzH8/LMjY8YY/n/QoBSmTUsWDyxlgSVWAm/qr7/ktG2r5uZNBWXL6ti8OZEaNQrmePmlpKSwb98+tmzZQlhYWIbpoGxsbHBzc6NJkyY0atSIKlWqvPVlEEUyan7yez1w9aqhlTAmRkHBgnqWLXtCo0ZPG0N+//13fHx8uHHjBlZWVkyfPp0+ffrk2LWTkzelc+fOZebMmej1eipXrszq1auNDyoBbNqkYsgQe1JSZFSrpmXdukTeey9fpixG+f38exMiGc2Ghw8fEhUVxdGjR4mIiOD06dPG8W5geFCjXr16NG/enBYtWlC+fPlci0WjgS+/tOXnnw3T7owencyXX6aIRDSLLLESyI4bN+S0aaPm+nXFv9OnyKlaNffKLzU1lcOHDxMWFsbu3bu5detWhv1OTk64ubkZfypXrpxr4+LSiWTU/JhDPXD3royePdWcOKFEoZCYNi2Z/v1Tjd8J8fHxDBkyhPDwcAC8vLyYO3cuhQsXzvZn50T53bhxg6FDh3L48GEAunbtyqxZs7C3Nww/0+lg1iwbZs82zJ/9yScalix5Ok42PzOH8y+rRDKaSRqNhosXL3Ly5ElOnTpFVFQUly5deu515cqVw8PDg8aNG+Ph4YHDW7gy4uJk9Oljz5EjKmQy+OqrJEaMEGNE34QlVgLZ9c8/hqX2zp1TolLBnDlP6NEj9+eylSSJixcv8uuvv3Lw4EGOHTv23BP4arWa2rVrU6dOHWrXrk3NmjVzdFgMiGTUHJlLPZCaCqNG2bF2rWHJobZt05g374kxYZMkiaCgIKZOnYpWq6Vw4cJ89913tGzZMlufm53ykySJkJAQvvjiCxITE7Gzs2PWrFl069bN+Jp792QMGGDPgQMqAAYPTmHy5GRy+b7zrTGX8y8rRDL6Ao8fP+b8+fOcO3eOP/74g7Nnz3Lu3DnS0p7/gi1fvjwNGjTAzc2Nhg0bUrp06eyGnSV79yoZMcKe27flqNUSISEy3N0t6yTOSZZYCeSEJ09gyBB7tm61AqBjx1RmzUqmUKG3V3WkpqZy6tQpIiIiOHr0KNHR0S9c4em9996jRo0aVK9enWrVqlG9enXKlSv3xi2oIhk1P+ZUD0gSLF5szVdf2aLVyqhQQcePPz6hZs2nvXhnz55l0KBBXLhwAYCWLVsyY8YMSpYs+Uaf+abld+nSJfz9/Y2toXXr1mXhwoUZehUPHVIyaJDhO8/OTuLbb5Po3Nm8FnIxp/Mvs0Qy+q8HDx7g5+fHiRMn+Oeff174GgcHB2rWrEnt2rWpVasWrq6uOdKl8SYePZIxebIty5cb7ngrVtSxfHkibm45P2bPklhiJZBTJAkWLnRk4kQJnU5GsWJ6vvvuCc2aaV//5lyg0+m4ePEiJ06c4OTJk5w8eZLLly/zourMxsYGFxcX+vXrR/fu3bP0OSIZNT/mWA9ERSno21fNrVtyFAqJzz9PYfToFKwM94+kpqbyzTffEBQUhFarxc7OjhEjRjBw4EAKZHGC6qyW34MHD5g3bx6LFy9Go9FgY2PD2LFjGTp0qPEmMSkJpkyx5ccfDUPRXFwM33mVK+ffB5VexhzPv9cRyei/jhw5QuvWrY2/Fy9ePEPLyQcffECZMmVMPqWMTgfBwVZ8/bUtcXGGWAYMSCEgIBk7O8s8iXOSKL/scXR0ZO/exwwaZM+VK4YvkaZNNUybloSLi+m/NBITEzl37hxnzpzh3LlznDt3jgsXLpCcbJhxolatWuzduzdLxxTJqPkx13rgwQMZY8bYsWmTIQOtXl3LnDlJuLo+bSU9f/48Y8aM4dixYwAULlyYkSNH0rNnT9RqdaY+J7Pl9/DhQ5YsWUJQUJBxxozmzZszc+ZMypQpY3zdr78qGTvWjr/+MtQpffumMGlSMpkMJ98x1/PvVUQy+i9Jkjhy5AhWVlZUrlyZggUL5mJkWafRwMaNVsybZ8OlS4YLsmJFHbNnJ/HRR09bnizxJM5JovyyJ738kpJg5kxbFi2yRquVoVRKeHunMWJEChUrmj4pfZZerycmJoYrV65QpUqVLHdNimTU/Jh7PbBxo4oxY+yIjzc0aHTvnspXXyXj5GT4qpckiY0bNzJjxgz++usvwNAz6OPjQ58+fahQocIrj/+q8pMkiQsXLvDzzz8TGhpqHOddvXp1AgIC+OSTT4yvvXlTxoQJdsbhP8WK6QkMfEKTJqbpbXlbzP38e5FcS0bPnj1LYGAgv/32GxqNBmdnZ3r16kWrVq0yfQy9Xk9ISAihoaHExMRgZ2dHvXr1GDVqVKbWaTeHP+adOzLWrrVi2TJr/v7bkIQWKqRn7NgU+vZNRaXK+HpLPIlzkii/7Plv+V25Iuerr2wJDzd8mchkEi1aaOjZM5UmTbRm8cCBSEbNjyXUA/fvy5g0yZaQEMNQL3t7icGDUxgyJMX4gJNGoyEkJITAwEBjUgrwv//9j1atWvHhhx9So0YNbGxsMhz7v+X35MkTTp8+zcGDB9m6dSt//vmncV+1atUYOXIk7dq1M/Y83r8vY+5cG5YutSYtTYZCIdG/fypjxyabxdPyr2MJ599/5UoyGhkZyWeffYZKpaJly5YUKFCA3bt3c/PmTUaNGsXAgQMzdZyAgAB++eUXnJ2d8fDwIC4ujp07d2Jtbc3atWtxdnZ+5fvz6x8zPl5GeLiKbdtU7NmjQqczzMVRuLCewYMNSejLLkhLPIlzkii/7HlZ+UVFKZg3z4awMCvjtuLF9bRvn4aXVxp16ujIQ4sqZYlIRs2PJdUDx48rGD/ejtOnDav/FSqk57PPUvH1TaVo0aerN+3du5clS5Zw4MCBDFMYWllZUalSJUqUKEHx4sWxtrbGxsaG+Ph4bt26xc2bN7l8+fJz72nWrBn9+/enYcOGxvlNb9yQs3ChNcHB1jx5Ytj24Ycapk9Pplq1/Lma0puwpPMvXY4no1qtlk8//ZTY2FhCQ0OpWrUqYBir1aVLF65du8aOHTte27J5/PhxevXqRZ06dVi2bBlW/46yPnbsGH369KFOnTqsWrXqlcfIL3/Mx4/ht9+UHDmi5PBhFdHRCmMCClC3rhYfn1Q6dEjjdYvNWOJJnJNE+WXP68rvwgU5K1ZYs26dlbGLEKBIET0ffqjlww811K+vxdlZn2+SU5GMmh9LqwckCbZtU/H117b8+aehu8LKSqJt2zS6dUvD3V1rvB7TG4V27dpFVFQU9+7dy9RnFCtWDFdXV1q0aEHz5s2N0x5qtbBvn5LVq63ZufNp40uNGlq++iqZRo20FjdftqWdf5ALyeiRI0f47LPPaN++PTNmzMiwb+fOnYwaNYoBAwbw+eefv/I4o0ePZvv27axatYq6detm2Ofr68vhw4cJDw/PsBLDf+W1P2ZCAsTEKLh2Tc7lywouXlTw++8K/vxTjiRlvNqqVdPSsqWGtm3TsvS0oCWexDlJlF/2ZLb8UlJg924V27er2LXLioSEjOd/gQISNWpoqVpVR6VKOpyd9ZQtq6d4cX2e69oXyaj5sdR6QKeDnTtVBAbaEB2tNG4vVUpHixYaPD01NGigNT6BL0kSMTExXL58mVu3bvHPP/+g1WqxsbFBr9dTvHhxSpQoQeXKlTOMxU5OhiNHlISFWREWpuLOnad3nh4eGoYOTaFJE8tLQtNZ4vmXmXpU+dpXPOPEiRMAuLu7P7evYcOGGV7zKpGRkdjZ2VGrVq3n9rm7u3P48GGioqJemYzmFEkyPECUlgZpaTJSUyElRUZysuG/T57ISEw0/Dx6ZPiJizP83LsnJzZWTmysjIcPX97UU7Kkjvr1tXz4oZaPPtJSpkzeeshDEHKSjQ20bq2hdWsNqalJREUpOXTI0Dtw5oyShAQZR46oOHIk46BopVKiaFGJYsX0FC2q5913Jd59V0+hQhIFC0o4OEio1YYfOzuwsZGws5OwsjL8v0oFVlbkuYRWEPIChQJatdLg5aXh5EkFq1dbs3GjFTduKFi8WMHixTbY2EjUqqWlbl0dlSvrcHauQM2a5WjSREL5b7aQnkxpNIZFWWJi5Bw8qODCBQUnTig5c0aBRvM003z3XT2dOqXh45NK1ariu094sSwlo9evXwfIMC1DuoIFC+Lo6EhMTMwrj5GUlMS9e/dwcXF54UTU6V386Z+VE27ckNOli5rbt2XodDL0esNdolYLWm3O3Z69846eMmX0uLgYLuQqVXR88IGOIkXy5YQFgpBt1tbg7q7F3d3whKxWC5cuKThzxtB7cPGioTfhxg05aWkybt2ScetW9vrwZTLDF6dSafgCVigMv/fsmUpAQEpO/LMEId+SyaBOHR116iTx9ddJ7N+vIjxcxe7dKu7dkxMRoSIiQvXc+woW1KNSGd6fklLouR6PZxUvrsfTM43mzTV4eDxtbRWEl8lSMpq+4snLJslVq9XExsa+8hjp8429bE6z9O0vWl3lWQULFsz0vKBXrsClS6DPxE2ZQmFo2bG1NfwUKABqteG/jo5QsCC8+y44ORl+SpSA4sWhZElwcJADcrJYrFli7t2GuU2UX/bkRPk5OcF/O1f0evjnH8PPrVsQGwv378O9exAfDw8fGn4SEw1DYpKSDN2BycmGZRGfJUkyNBpDj4eB4Uvz7FlbHB1tsx2/IJgLOzto2VJDy5YaJMkwQ0ZkpJJTp5RcuSLnyhUFsbGG79lHj579vjVcUzKZRLFiEhUr6qhYUUedOjpcXQ29f5baDS+8mdzLmnLZo0ePMv1aZ2c4f15GfLzs35YSUKkk5HJDt55KZegitLbG2BWRVTqd4UszN1niWJOcJMove3K7/OztoWJFw09WSFL6MBtDT4fhv6DTGZJSvd7wU6GCPsvXqLh5ESyFTAYVK+qpWDENH5+nS3BqtYZZYOLjZeh0hoagpKRHODpKFCokiWExQo7IUuqV3mqZ3rr5X4mJia9dWix9/8taPtO3Z3Y1iMwqUkQS3eWCYIZkMsNwAGtrgGevcXG9C0J2KZXg5CQZJ813dIT4eDH2U8hZWRqclT6e80XjQh89ekR8fPwLx5M+y87ODicnJ27evJlhbrJ06WNFMzPxvSAIgiAIgpC/ZSkZTZ+G6ciRI8/tO3r0KACurq6vPY6rqytJSUmcOnXquX3px/7vlE+CIAiCIAiC+clSMtqgQQNKlSrF9u3buXDhgnF7YmIiCxYsQKlU0q5dO+P2Bw8ecPXqVR48eJDhON7e3gDMmzePtLSnY1OOHTvGkSNHqFu37luZ1kkQBEEQBEEwrSyNGVUqlUybNg1fX1+6deuGl5cXarXauBzoyJEjMySRq1evJigoiKFDhzJs2DDj9vr169OpUyfWrVtHu3btMiwHqlarmTRpUo79AwVBEARBEIS8K8vPjtevX5+QkBB++OEHwsLC0Gg0ODs7M2LECFq3bp3p40yZMoVKlSoRGhpKcHAwdnZ2NG7cmFGjRolWUUEQBEEQBAuRpeVA8xJLnKJHTE2UPaL8sscSy8/cp3aytL8nWOZ5nJNE+WWPJZZfZurR7C11IgiCIAiCIAjZIJJRQRAEQRAEwWREMioIgiAIgiCYTL4dMyoIgiAIgiDkf6JlVBAEQRAEQTAZkYwKgiAIgiAIJiOSUUEQBEEQBMFkRDIqCIIgCIIgmIxIRgVBEARBEASTyfJyoELuSUpKYs+ePezbt4+LFy9y+/ZtrKysqFy5Ml26dMHLyytLx6tUqdJL940ePZr+/ftnN2STOnv2LIGBgfz222/GZWl79epFq1atMn0MvV5PSEgIoaGhxMTEYGdnR7169Rg1ahRly5bNveBN6M6dO4SFhXHo0CH++usv7t+/T8GCBalVqxa+vr7UqFEjU8eJjIykZ8+eL90fGhrKBx98kFNhC0KmiHo0a0Q9+mZEPZqzRDKah0RHR+Pv70+hQoVo0KABzZo1Iy4ujj179jB69GhOnz5NQEBAlo5ZokQJ2rVr99z2WrVq5VTYJhEZGclnn32GSqWiZcuWFChQgN27d+Pn58etW7cYOHBgpo4zceJEfvnlF5ydnfHx8SEuLo6dO3dy9OhR1q5di7Ozcy7/S96+4OBglixZQunSpXFzc+Pdd98lJiaGvXv3snfvXr799ltatGiR6eO5urri6ur63Pb33nsvJ8MWhEwR9WjmiXr0zYl6NIdJQp5x4cIFaevWrVJaWlqG7ffu3ZMaN24subi4SGfOnMn08VxcXCQfH5+cDtPkNBqN1LRpU6l69erSuXPnjNsTEhKkli1bSlWrVpWuXbv22uMcO3ZMcnFxkbp16yalpqYat0dEREiVKlWSunfvnhvhm9yuXbukqKio57ZHRUVJ1apVk1xdXTOUx8scP35ccnFxkX744YfcCFMQ3oioRzNH1KPZI+rRnCXGjOYhlStXplWrVqhUqgzbCxcuTOfOnQGIiooyRWh5yvHjx/n777/x8vKiatWqxu1qtZrBgwej1WrZuHHja4+zbt06AEaOHImVlZVxe4MGDXB3dycqKopr167l/D/AxJo1a0adOnWe216nTh3q1avHw4cPuXTpkgkiE4TsE/Vo5oh6NNvl99EAAAahSURBVHtEPZqzRDd9PqFUGv5UCoUiS+97/Pgx69atIy4ujnfeeQdXV9d8P4bnxIkTALi7uz+3r2HDhhle8yqRkZHY2dm9sKvN3d2dw4cPExUVRbly5bIZcf6Rfp6l/zczrl+/zsqVK0lJSaF48eK4ubnxzjvv5FaIgvDGRD36lKhHc4+oR7NOJKP5gE6nY/PmzchkMtzc3LL03osXLzJhwgTj7zKZjFatWjFlyhRsbW1zOtS34vr16wCUKVPmuX0FCxbE0dGRmJiYVx4jKSmJe/fu4eLi8sIvpvQvmvTPsgT//PMPERERODk54eLikun3bd++ne3btxt/t7GxYdiwYfj6+uZGmILwRkQ9mpGoR3OHqEffjEhG84Hvv/+ey5cv06FDhyyd3H379uXTTz+lTJkyyGQyzp8/z3fffcfWrVvR6XTMnTs3F6POPYmJiQAUKFDghfvVajWxsbGvPEZCQoLxtS87xrOfZe40Gg3+/v6kpaXh5+eXqZajd955B39/fxo1akTx4sV5/PgxkZGRzJkzh9mzZ6NWq+nSpctbiF4QXk/UoxmJejTniXr0zYlkNBekjxfJrJUrV1KvXr0X7gsNDWXx4sVUrVqV8ePHZymOsWPHZvi9fv36LF++nDZt2rBjxw4GDRpExYoVs3RMwfzo9Xq+/PJLoqKi8Pb2pm3btpl6X8WKFTOcP7a2trRu3ZrKlSvTvn17AgMD8fb2Ri4XQ9OFrBP1qJCfiHo0e0Qymgu8vLx48uRJpl9fuHDhF27fsGEDEydOxMXFhaVLl2Jvb5/t2GxtbWnZsiULFizg1KlT+bISTb/bTr8r/6/ExMSX3u2nS9//sjv29O0vu+M3F5IkMWHCBLZu3Urr1q2ZPHlyto/p4uJCjRo1iI6OJiYmxqLGigk5R9SjuUvUozlH1KPZJ5LRXJDVOexeZP369QQEBODs7MyKFStwdHTMgcgM0o+VnJycY8d8m9LHIcXExFC9evUM+x49ekR8fDw1a9Z85THs7OxwcnLi5s2b6HS657pT0sc45feHFF5Fr9czfvx4Nm7ciJeXFzNnzsyxu+/0cywlJSVHjidYHlGP5i5Rj+YMUY/mDPNu982n1q9fz4QJEyhfvjwrVqzI8Sfqzpw5A0DJkiVz9LhvS926dQE4cuTIc/uOHj0K8MLJg//L1dWVpKQkTp069dy+9GOnf5a5ebYCbdGiBbNmzcryE8Yvo9VqOX/+PDKZjGLFiuXIMQUhq0Q9+mqiHs0+UY/mHJGM5jHr1q3LUIG+++67r3x9cnIyV69e5Z9//smw/fz58y+8Yw8LC2PHjh04OjrSoEGDHI39bWnQoAGlSpVi+/btXLhwwbg9MTGRBQsWoFQqM6yW8uDBA65evcqDBw8yHMfb2xuAefPmkZaWZtx+7Ngxjhw5Qt26dc2ya+TZCtTT05PZs2e/sgJ9WfmdPn0aSZIybNNqtcyaNYtbt27h7u5OoUKFcuXfIAivIurR1xP1aPaIejRnyaT/loJgMseOHaNPnz5IkkTnzp1xcnJ67jVVqlShadOmxt/T17V1dXUlODjYuH3cuHHs3buXBg0aUKxYMSRJ4vz580RHR2NtbU1gYCAeHh5v5d+VG44fP46vry8qlQovLy/UajW7d+/m5s2bjBw5kkGDBhlfGxgYSFBQEEOHDmXYsGEZjjNhwgTWrVuHs7MzHh4exmXsrK2tzXYZu/TysLOzo2fPni+cC69p06ZUqVIlw+v/W35NmjQBoGbNmhQtWpSEhATjBNfFixdn1apVlChR4u38owThX6IezTxRj745UY/mLDFmNA+5ffu28Q4pNDT0ha9p165dhkr0ZT7++GMeP37MuXPnOHz4MFqtlqJFi9KxY0f69u1LhQoVcjT2t61+/fqEhITwww8/EBYWhkajwdnZmREjRtC6detMH2fKlClUqlSJ0NBQgoODsbOzo3HjxowaNcos7+YBbt26BRjmCFy0aNELX1OiRAljJfoyXbp04fDhw5w4cYL4+HiUSiWlS5dm4MCB9O3bl4IFC+Z47ILwOqIezTxRj745UY/mLNEyKgiCIAiCIJiMGDMqCIIgCIIgmIxIRgVBEARBEASTEcmoIAiCIAiCYDIiGRUEQRAEQRBMRiSjgiAIgiAIgsmIZFQQBEEQBEEwGZGMCoIgCIIgCCYjklFBEARBEATBZEQyKgiCIAiCIJiMSEYFQRAEQRAEkxHJqCAIgiAIgmAyIhkVBEEQBEEQTEYko4IgCIIgCILJ/B+MhPuzBjvcBQAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure 7.11\n", - "\n", - "v = np.linspace(-4, 4, 100)\n", - "\n", - "g = stats.norm(loc=0, scale=1)\n", - "t = stats.t(df=2, loc=0, scale=1)\n", - "\n", - "fig, (ax, lax) = plt.subplots(1, 2, figsize=[8, 3.5])\n", - "\n", - "ax.plot(v, g.pdf(v), color=\"b\")\n", - "ax.plot(v, t.pdf(v), color=\"k\")\n", - "\n", - "lax.plot(v, -g.logpdf(v), color=\"b\")\n", - "lax.plot(v, -t.logpdf(v), color=\"k\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Code 7.35" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Auto-assigning NUTS sampler...\n", - "Initializing NUTS using jitter+adapt_diag...\n", - "Multiprocess sampling (2 chains in 2 jobs)\n", - "NUTS: [sigma, bM, bA, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1437.29draws/s]\n" - ] - } - ], - "source": [ - "with pm.Model() as m_5_3t:\n", - " a = pm.Normal(\"a\", 0, 0.2)\n", - " bA = pm.Normal(\"bA\", 0, 0.5)\n", - " bM = pm.Normal(\"bM\", 0, 0.5)\n", - "\n", - " mu = a + bA * d[\"A\"] + bM * d[\"M\"]\n", - " sigma = pm.Exponential(\"sigma\", 1)\n", - "\n", - " D = pm.StudentT(\"D\", 2, mu, sigma, observed=d[\"D\"])\n", - "\n", - " m_5_3t_trace = pm.sample()" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Computed from 1000 by 50 log-likelihood matrix\n", - "\n", - " Estimate SE\n", - "deviance_loo 133.53 10.67\n", - "p_loo 5.52 -\n", - "------\n", - "\n", - "Pareto k diagnostic values:\n", - " Count Pct.\n", - "(-Inf, 0.5] (good) 50 100.0%\n", - " (0.5, 0.7] (ok) 0 0.0%\n", - " (0.7, 1] (bad) 0 0.0%\n", - " (1, Inf) (very bad) 0 0.0%" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "az.loo(m_5_3t_trace, pointwise=True, scale=\"deviance\")" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([],\n", - " dtype=object)" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "az.plot_forest(\n", - " [m_5_3_trace, m_5_3t_trace], model_names=[\"m_5_3\", \"m_5_3t\"], figsize=[6, 3.5]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "statsmodels.api 0.11.1\n", - "numpy 1.18.1\n", - "pandas 1.0.3\n", - "pymc3 3.8\n", - "arviz 0.7.0\n", - "last updated: Mon May 18 2020 \n", - "\n", - "CPython 3.7.6\n", - "IPython 7.13.0\n", - "watermark 2.0.2\n" - ] - } - ], - "source": [ - "%load_ext watermark\n", - "%watermark -n -u -v -iv -w" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.6" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} From 176befece8280bb5fbac42a02ab6173622e68348 Mon Sep 17 00:00:00 2001 From: Oscar Date: Tue, 19 May 2020 00:46:22 +0100 Subject: [PATCH 10/15] First draft of Chp_08 --- Rethinking_2/Chp_08.ipynb | 1531 +++++++++++++++++++++++++++++++++++++ 1 file changed, 1531 insertions(+) create mode 100644 Rethinking_2/Chp_08.ipynb diff --git a/Rethinking_2/Chp_08.ipynb b/Rethinking_2/Chp_08.ipynb new file mode 100644 index 0000000..c02267c --- /dev/null +++ b/Rethinking_2/Chp_08.ipynb @@ -0,0 +1,1531 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 209, + "metadata": {}, + "outputs": [], + "source": [ + "import arviz as az\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import pymc3 as pm\n", + "from scipy import stats" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [], + "source": [ + "%config Inline.figure_format = 'retina'\n", + "az.style.use('arviz-darkgrid')\n", + "az.rcParams['stats.credible_interval'] = 0.89 # set credible interval for entire notebook\n", + "az.rcParams['stats.information_criterion'] = 'waic' # set information criterion to use in `compare`\n", + "az.rcParams['stats.ic_scale'] = 'deviance' # set information criterion scale\n", + "np.random.seed(0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.1" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:10: 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", + " # Remove the CWD from sys.path while we load stuff.\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:11: 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", + " # This is added back by InteractiveShellApp.init_path()\n" + ] + } + ], + "source": [ + "d = pd.read_csv('Data/rugged.csv', delimiter=';')\n", + "\n", + "# make log version of the outcome\n", + "d['log_gdp'] = np.log(d['rgdppc_2000'])\n", + "\n", + "# extract countries with GDP data\n", + "dd = d.dropna(subset=['log_gdp'])\n", + "\n", + "# rescale variables\n", + "dd['log_gdp_std'] = dd['log_gdp'] / dd['log_gdp'].mean()\n", + "dd['rugged_std'] = dd['rugged'] / dd['rugged'].max()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.2" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "with pm.Model() as m_8_1:\n", + " a = pm.Normal('a', 1, 1)\n", + " b = pm.Normal('b', 0, 1)\n", + " \n", + " mu = a + b * (dd['rugged_std'] - 0.215)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, shape=dd.shape[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.3" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "with m_8_1:\n", + " m_8_1_prior = pm.sample_prior_predictive()\n", + " \n", + "# Figure 8.3 is below" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.4" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.264" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.sum(np.abs(m_8_1_prior['b'] > 0.6)) / len(m_8_1_prior['b'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.5" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, b, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1110.46draws/s]\n" + ] + } + ], + "source": [ + "with pm.Model() as m_8_1t:\n", + " a = pm.Normal('a', 1, 0.1)\n", + " b = pm.Normal('b', 0, 0.3)\n", + " \n", + " mu = a + b * (dd['rugged_std'] - 0.215)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, observed=dd['log_gdp_std'])\n", + " \n", + " m_8_1t_trace = pm.sample()\n", + " \n", + " m_8_1t_prior = pm.sample_prior_predictive()" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Figure 8.3\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[7, 4])\n", + "\n", + "n = 100\n", + "rugged_plot = np.linspace(-0.1, 1.1)\n", + "ax1.plot(rugged_plot, m_8_1_prior['a'][:n].T + rugged_plot.reshape(-1,1) * m_8_1_prior['b'][:n].T, color='k', lw=1, alpha=0.3);\n", + "ax1.set_title('a ~ Normal(1, 1)\\nb ~ Normal(0, 1)')\n", + "\n", + "ax2.plot(rugged_plot, m_8_1t_prior['a'][:n].T + rugged_plot.reshape(-1,1) * m_8_1t_prior['b'][:n].T, color='k', lw=1, alpha=0.3);\n", + "ax2.set_title('a ~ Normal(1, 0.1)\\nb ~ Normal(0, 0.3)')\n", + "\n", + "for ax in (ax1, ax2):\n", + " ax.set_xlabel('ruggedness')\n", + " ax.set_xlabel('log GDP (prop of mean)')\n", + " ax.axhline(0.7, ls='dashed', color='k', lw=1)\n", + " ax.axhline(1.3, ls='dashed', color='k', lw=1)\n", + " ax.set_ylim(0.5, 1.5)\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.6" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%
a1.000.010.981.02
b0.000.06-0.080.10
sigma0.140.010.130.15
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5%\n", + "a 1.00 0.01 0.98 1.02\n", + "b 0.00 0.06 -0.08 0.10\n", + "sigma 0.14 0.01 0.13 0.15" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(m_8_1t_trace, kind='stats', round_to=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.7" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [], + "source": [ + "cid = pd.Categorical(dd['cont_africa'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.8" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, b, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 891.44draws/s] \n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n" + ] + } + ], + "source": [ + "with pm.Model() as m_8_2:\n", + " a = pm.Normal('a', 1, 0.1, shape=cid.categories.size)\n", + " b = pm.Normal('b', 0, 0.3)\n", + " \n", + " mu = a[cid] + b * (dd['rugged_std'] - 0.215)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, observed=dd['log_gdp_std'])\n", + " \n", + " m_8_2_trace = pm.sample()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.9" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", + "See http://arxiv.org/abs/1507.04544 for details\n", + " \"For one or more samples the posterior variance of the log predictive \"\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
rankwaicp_waicd_waicweightsedsewarningwaic_scale
m_8_20-252.4524.0620800.99998512.61550Truedeviance
m_8_1t1-188.8642.5850163.5881.53624e-0514.481514.6258Falsedeviance
\n", + "
" + ], + "text/plain": [ + " rank waic p_waic d_waic weight se dse warning \\\n", + "m_8_2 0 -252.452 4.06208 0 0.999985 12.6155 0 True \n", + "m_8_1t 1 -188.864 2.58501 63.588 1.53624e-05 14.4815 14.6258 False \n", + "\n", + " waic_scale \n", + "m_8_2 deviance \n", + "m_8_1t deviance " + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.compare({'m_8_1t': m_8_1t_trace, 'm_8_2': m_8_2_trace})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.10" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%
a[0]1.050.011.031.06
a[1]0.880.020.850.91
b-0.050.05-0.120.03
sigma0.110.010.100.12
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5%\n", + "a[0] 1.05 0.01 1.03 1.06\n", + "a[1] 0.88 0.02 0.85 0.91\n", + "b -0.05 0.05 -0.12 0.03\n", + "sigma 0.11 0.01 0.10 0.12" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(m_8_2_trace, kind='stats', round_to=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.11" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1000/1000 [00:00<00:00, 9978.12it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "array([-0.20002221, -0.13920712])" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with m_8_2:\n", + " m_8_2_posterior = pm.sample_posterior_predictive(m_8_2_trace, vars=[a, b, sigma])\n", + "\n", + "diff_a0_a1 = m_8_2_posterior['a'][:,1] - m_8_2_posterior['a'][:,0]\n", + "\n", + "az.hpd(diff_a0_a1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.12" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'log GDP (as proportion of mean)')" + ] + }, + "execution_count": 171, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "rugged_plot = np.linspace(-0.1, 1.1)\n", + "\n", + "ax.scatter(dd.loc[cid == 0, 'rugged_std'], dd.loc[cid == 0, 'log_gdp_std'], label='Not Africa', facecolor='w', lw=1, edgecolor='k')\n", + "\n", + "pred0 = m_8_2_posterior['a'][:, 0] + rugged_plot.reshape(-1,1) * m_8_2_posterior['b']\n", + "ax.plot(rugged_plot, pred0.mean(1), color='grey')\n", + "az.plot_hpd(rugged_plot, pred0.T, color='grey', credible_interval=0.97)\n", + "\n", + "ax.scatter(dd.loc[cid == 1, 'rugged_std'], dd.loc[cid == 1, 'log_gdp_std'], label='Africa', color='k')\n", + "pred1 = m_8_2_posterior['a'][:, 1] + rugged_plot.reshape(-1,1) * m_8_2_posterior['b']\n", + "ax.plot(rugged_plot, pred1.mean(1), color='k')\n", + "az.plot_hpd(rugged_plot, pred1.T, color='grey', credible_interval=0.97)\n", + "\n", + "ax.legend(frameon=True)\n", + "\n", + "ax.set_xlim(-0.1, 1.1)\n", + "ax.set_xlabel('ruggedness (standardised)')\n", + "ax.set_ylabel('log GDP (as proportion of mean)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.13" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, b, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 663.12draws/s]\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n" + ] + } + ], + "source": [ + "with pm.Model() as m_8_3:\n", + " a = pm.Normal('a', 1, 0.1, shape=cid.categories.size)\n", + " b = pm.Normal('b', 0, 0.3, shape=cid.categories.size)\n", + " \n", + " mu = a[cid] + b[cid] * (dd['rugged_std'] - 0.215)\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, observed=dd['log_gdp_std'])\n", + " \n", + " m_8_3_trace = pm.sample()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.14" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meansdhpd_5.5%hpd_94.5%
a[0]1.050.011.031.07
a[1]0.890.020.870.91
b[0]-0.140.06-0.23-0.05
b[1]0.130.080.000.25
sigma0.110.010.100.12
\n", + "
" + ], + "text/plain": [ + " mean sd hpd_5.5% hpd_94.5%\n", + "a[0] 1.05 0.01 1.03 1.07\n", + "a[1] 0.89 0.02 0.87 0.91\n", + "b[0] -0.14 0.06 -0.23 -0.05\n", + "b[1] 0.13 0.08 0.00 0.25\n", + "sigma 0.11 0.01 0.10 0.12" + ] + }, + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.summary(m_8_3_trace, kind='stats', round_to=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.15" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
rankloop_lood_looweightsedsewarningloo_scale
m_8_30-258.8865.1114400.82248912.90270Falsedeviance
m_8_21-252.4344.071176.451880.17751114.26966.43702Falsedeviance
m_8_1t2-188.862.5871770.0266.32745e-0814.218414.8092Falsedeviance
\n", + "
" + ], + "text/plain": [ + " rank loo p_loo d_loo weight se dse warning \\\n", + "m_8_3 0 -258.886 5.11144 0 0.822489 12.9027 0 False \n", + "m_8_2 1 -252.434 4.07117 6.45188 0.177511 14.2696 6.43702 False \n", + "m_8_1t 2 -188.86 2.58717 70.026 6.32745e-08 14.2184 14.8092 False \n", + "\n", + " loo_scale \n", + "m_8_3 deviance \n", + "m_8_2 deviance \n", + "m_8_1t deviance " + ] + }, + "execution_count": 175, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "az.compare({'m_8_1t': m_8_1t_trace, 'm_8_2': m_8_2_trace, 'm_8_3': m_8_3_trace}, ic='loo')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.16" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n" + ] + }, + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 178, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "m_8_3_loo = az.loo(m_8_3_trace, pointwise=True)\n", + "\n", + "plt.plot(m_8_3_loo.loo_i)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.17" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1000/1000 [00:00<00:00, 10640.53it/s]\n" + ] + } + ], + "source": [ + "with m_8_3:\n", + " m_8_3_posterior = pm.sample_posterior_predictive(m_8_3_trace, vars=[a,b])" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(1, 2, figsize=[7, 4], sharey=True)\n", + "\n", + "ax1, ax0 = axs\n", + "\n", + "rugged_plot = np.linspace(-0.1, 1.1)\n", + "\n", + "ax0.scatter(dd.loc[cid == 0, 'rugged_std'], dd.loc[cid == 0, 'log_gdp_std'], label='Not Africa', facecolor='w', lw=1, edgecolor='k')\n", + "# calculating predicted manually because this is a pain with categorical variabiles in PyMC3\n", + "pred0 = m_8_3_posterior['a'][:, 0] + rugged_plot.reshape(-1,1) * m_8_3_posterior['b'][:, 0]\n", + "ax0.plot(rugged_plot, pred0.mean(1), color='grey')\n", + "az.plot_hpd(rugged_plot, pred0.T, color='grey', credible_interval=0.97, ax=ax0)\n", + "ax0.set_title('Non-African Nations')\n", + "\n", + "ax1.scatter(dd.loc[cid == 1, 'rugged_std'], dd.loc[cid == 1, 'log_gdp_std'], label='Africa', color='k')\n", + "# calculating predicted manually because this is a pain with categorical variabiles in PyMC3\n", + "pred1 = m_8_3_posterior['a'][:, 1] + rugged_plot.reshape(-1,1) * m_8_3_posterior['b'][:, 1]\n", + "ax1.plot(rugged_plot, pred1.mean(1), color='k')\n", + "az.plot_hpd(rugged_plot, pred1.T, color='grey', credible_interval=0.97, ax=ax1)\n", + "ax1.set_title('African Nations')\n", + "\n", + "\n", + "ax.set_xlim(-0.1, 1.1)\n", + "ax0.set_xlabel('ruggedness (standardised)')\n", + "ax1.set_xlabel('ruggedness (standardised)')\n", + "ax1.set_ylabel('log GDP (as proportion of mean)')\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.18" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.0, 1.0)" + ] + }, + "execution_count": 206, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rugged_plot = np.linspace(-0.1, 1.1)\n", + "\n", + "delta = pred1 - pred0 # using 'pred' from above\n", + "\n", + "plt.plot(rugged_plot, delta.mean(1))\n", + "az.plot_hpd(rugged_plot, delta.T)\n", + "\n", + "plt.axhline(0, ls='dashed', zorder=1, color=(0,0,0,0.5))\n", + "plt.xlabel('ruggedness')\n", + "plt.ylabel('expected difference log GDP')\n", + "plt.xlim(0,1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These numbers are quite different from the book - not sure why." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.19" + ] + }, + { + "cell_type": "code", + "execution_count": 207, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
bedwatershadeblooms
0a110.00
1a120.00
2a13111.04
3a21183.47
4a2259.16
\n", + "
" + ], + "text/plain": [ + " bed water shade blooms\n", + "0 a 1 1 0.00\n", + "1 a 1 2 0.00\n", + "2 a 1 3 111.04\n", + "3 a 2 1 183.47\n", + "4 a 2 2 59.16" + ] + }, + "execution_count": 207, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "d = pd.read_csv('Data/tulips.csv', delimiter=';')\n", + "d.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.20" + ] + }, + { + "cell_type": "code", + "execution_count": 208, + "metadata": {}, + "outputs": [], + "source": [ + "d['blooms_std'] = d['blooms'] / d['blooms'].max()\n", + "d['water_cent'] = d['water'] - d['water'].mean()\n", + "d['shade_cent'] = d['shade'] - d['shade'].mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.21" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.6114" + ] + }, + "execution_count": 217, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = stats.norm.rvs(0.5, 1, 10000)\n", + "sum((a < 0) | (a > 1)) / len(a)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.22" + ] + }, + { + "cell_type": "code", + "execution_count": 218, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.043" + ] + }, + "execution_count": 218, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a = stats.norm.rvs(0.5, 0.25, 10000)\n", + "sum((a < 0) | (a > 1)) / len(a)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.23" + ] + }, + { + "cell_type": "code", + "execution_count": 229, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bs, bw, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1015.08draws/s]\n", + "100%|██████████| 1000/1000 [00:00<00:00, 16173.37it/s]\n" + ] + } + ], + "source": [ + "with pm.Model() as m_8_4:\n", + " a = pm.Normal('a', 0.5, 0.25)\n", + " bw = pm.Normal('bw', 0, 0.25)\n", + " bs = pm.Normal('bs', 0, 0.25)\n", + " \n", + " mu = a + bw * d['water_cent'] + bs * d['shade_cent']\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " blooms_std = pm.Normal('blooms_std', mu, sigma, observed=d['blooms_std'])\n", + " \n", + " m_8_4_trace = pm.sample()\n", + " m_8_4_post = pm.sample_posterior_predictive(m_8_4_trace, vars=[a, bw, bs])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.24" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Multiprocess sampling (2 chains in 2 jobs)\n", + "NUTS: [sigma, bws, bs, bw, a]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 966.75draws/s] \n", + "100%|██████████| 1000/1000 [00:00<00:00, 13166.24it/s]\n" + ] + } + ], + "source": [ + "with pm.Model() as m_8_5:\n", + " a = pm.Normal('a', 0.5, 0.25)\n", + " bw = pm.Normal('bw', 0, 0.25)\n", + " bs = pm.Normal('bs', 0, 0.25)\n", + " bws = pm.Normal('bws', 0, 0.25)\n", + " \n", + " mu = a + bw * d['water_cent'] + bs * d['shade_cent'] + bws * d['water_cent'] * d['shade_cent']\n", + " sigma = pm.Exponential('sigma', 1)\n", + " \n", + " blooms_std = pm.Normal('blooms_std', mu, sigma, observed=d['blooms_std'])\n", + " \n", + " m_8_5_trace = pm.sample()\n", + " m_8_5_post = pm.sample_posterior_predictive(m_8_5_trace, vars=[a, bw, bs, bws])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.25" + ] + }, + { + "cell_type": "code", + "execution_count": 247, + "metadata": {}, + "outputs": [], + "source": [ + "pred = " + ] + }, + { + "cell_type": "code", + "execution_count": 249, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2, 20)" + ] + }, + "execution_count": 249, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pred.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 261, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 3, figsize=[9, 5], sharey=True, sharex=True)\n", + "\n", + "n_lines = 20\n", + "pred_x = np.array([-1, 1])\n", + "\n", + "for i, shade in enumerate([-1, 0, 1]):\n", + " ind = d.shade_cent == shade\n", + " for ax in axs[:, i]:\n", + " ax.scatter(d.loc[ind, 'water_cent'], d.loc[ind, 'blooms_std'])\n", + " # top row, m_8_4\n", + " ax = axs[0, i]\n", + " ax.set_title(f'm8.4 post: shade = {shade:.0f}', fontsize=11)\n", + " pred_y = (m_8_4_post['a'][:n_lines] +\n", + " m_8_4_post['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", + " m_8_4_post['bs'][:n_lines] * shade)\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", + " \n", + " # bottom row, m_8_5\n", + " ax = axs[1, i]\n", + " ax.set_title(f'm8.5 post: shade = {shade:.0f}', fontsize=11)\n", + " pred_y = (m_8_5_post['a'][:n_lines] +\n", + " m_8_5_post['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", + " m_8_5_post['bs'][:n_lines] * shade +\n", + " m_8_5_post['bws'][:n_lines] * pred_x.reshape(-1,1) * shade)\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", + "\n", + "for ax in axs.flat:\n", + " if ax.is_first_col():\n", + " ax.set_ylabel('blooms')\n", + " if ax.is_last_row():\n", + " ax.set_xlabel('water')\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Code 8.26" + ] + }, + { + "cell_type": "code", + "execution_count": 263, + "metadata": {}, + "outputs": [], + "source": [ + "with m_8_4:\n", + " m_8_4_priors = pm.sample_prior_predictive(vars=['a', 'bw', 'bs'])\n", + "\n", + "with m_8_5:\n", + " m_8_5_priors = pm.sample_prior_predictive(vars=['a', 'bw', 'bs', 'bws'])" + ] + }, + { + "cell_type": "code", + "execution_count": 276, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 3, figsize=[9, 5], sharey=True, sharex=True)\n", + "\n", + "n_lines = 20\n", + "pred_x = np.array([-1, 1])\n", + "\n", + "for i, shade in enumerate([-1, 0, 1]):\n", + " # top row, m_8_4\n", + " ax = axs[0, i]\n", + " ax.set_title(f'm8.4 prior: shade = {shade:.0f}', fontsize=11)\n", + " pred_y = (m_8_4_priors['a'][:n_lines] +\n", + " m_8_4_priors['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", + " m_8_4_priors['bs'][:n_lines] * shade)\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", + " ax.plot(pred_x, pred_y[:,0], lw=2, color='k')\n", + " \n", + " # bottom row, m_8_5\n", + " ax = axs[1, i]\n", + " ax.set_title(f'm8.5 prior: shade = {shade:.0f}', fontsize=11)\n", + " pred_y = (m_8_5_priors['a'][:n_lines] +\n", + " m_8_5_priors['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", + " m_8_5_priors['bs'][:n_lines] * shade +\n", + " m_8_5_priors['bws'][:n_lines] * pred_x.reshape(-1,1) * shade)\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", + " ax.plot(pred_x, pred_y[:,0], lw=2, color='k')\n", + "\n", + "for ax in axs.flat:\n", + " ax.set_ylim(-0.5, 1.5)\n", + " ax.axhline(1, ls='dashed', color=(0,0,0,0.6))\n", + " ax.axhline(0, ls='dashed', color=(0,0,0,0.6))\n", + " if ax.is_first_col():\n", + " ax.set_ylabel('blooms')\n", + " if ax.is_last_row():\n", + " ax.set_xlabel('water')\n", + "\n", + "fig.tight_layout()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 9b71382a494d99a84a2c5fdaf49ef71cc34e43d8 Mon Sep 17 00:00:00 2001 From: Oscar Date: Tue, 19 May 2020 00:46:45 +0100 Subject: [PATCH 11/15] ran through black_nbconvert --- Rethinking_2/Chp_08.ipynb | 335 ++++++++++++++++++++++---------------- 1 file changed, 195 insertions(+), 140 deletions(-) diff --git a/Rethinking_2/Chp_08.ipynb b/Rethinking_2/Chp_08.ipynb index c02267c..d792780 100644 --- a/Rethinking_2/Chp_08.ipynb +++ b/Rethinking_2/Chp_08.ipynb @@ -60,17 +60,17 @@ } ], "source": [ - "d = pd.read_csv('Data/rugged.csv', delimiter=';')\n", + "d = pd.read_csv(\"Data/rugged.csv\", delimiter=\";\")\n", "\n", "# make log version of the outcome\n", - "d['log_gdp'] = np.log(d['rgdppc_2000'])\n", + "d[\"log_gdp\"] = np.log(d[\"rgdppc_2000\"])\n", "\n", "# extract countries with GDP data\n", - "dd = d.dropna(subset=['log_gdp'])\n", + "dd = d.dropna(subset=[\"log_gdp\"])\n", "\n", "# rescale variables\n", - "dd['log_gdp_std'] = dd['log_gdp'] / dd['log_gdp'].mean()\n", - "dd['rugged_std'] = dd['rugged'] / dd['rugged'].max()" + "dd[\"log_gdp_std\"] = dd[\"log_gdp\"] / dd[\"log_gdp\"].mean()\n", + "dd[\"rugged_std\"] = dd[\"rugged\"] / dd[\"rugged\"].max()" ] }, { @@ -87,13 +87,13 @@ "outputs": [], "source": [ "with pm.Model() as m_8_1:\n", - " a = pm.Normal('a', 1, 1)\n", - " b = pm.Normal('b', 0, 1)\n", - " \n", - " mu = a + b * (dd['rugged_std'] - 0.215)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, shape=dd.shape[0])" + " a = pm.Normal(\"a\", 1, 1)\n", + " b = pm.Normal(\"b\", 0, 1)\n", + "\n", + " mu = a + b * (dd[\"rugged_std\"] - 0.215)\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " log_gdp_std = pm.Normal(\"log_gdp_std\", mu, sigma, shape=dd.shape[0])" ] }, { @@ -111,7 +111,7 @@ "source": [ "with m_8_1:\n", " m_8_1_prior = pm.sample_prior_predictive()\n", - " \n", + "\n", "# Figure 8.3 is below" ] }, @@ -139,7 +139,7 @@ } ], "source": [ - "np.sum(np.abs(m_8_1_prior['b'] > 0.6)) / len(m_8_1_prior['b'])" + "np.sum(np.abs(m_8_1_prior[\"b\"] > 0.6)) / len(m_8_1_prior[\"b\"])" ] }, { @@ -168,16 +168,16 @@ ], "source": [ "with pm.Model() as m_8_1t:\n", - " a = pm.Normal('a', 1, 0.1)\n", - " b = pm.Normal('b', 0, 0.3)\n", - " \n", - " mu = a + b * (dd['rugged_std'] - 0.215)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, observed=dd['log_gdp_std'])\n", - " \n", + " a = pm.Normal(\"a\", 1, 0.1)\n", + " b = pm.Normal(\"b\", 0, 0.3)\n", + "\n", + " mu = a + b * (dd[\"rugged_std\"] - 0.215)\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " log_gdp_std = pm.Normal(\"log_gdp_std\", mu, sigma, observed=dd[\"log_gdp_std\"])\n", + "\n", " m_8_1t_trace = pm.sample()\n", - " \n", + "\n", " m_8_1t_prior = pm.sample_prior_predictive()" ] }, @@ -204,17 +204,29 @@ "\n", "n = 100\n", "rugged_plot = np.linspace(-0.1, 1.1)\n", - "ax1.plot(rugged_plot, m_8_1_prior['a'][:n].T + rugged_plot.reshape(-1,1) * m_8_1_prior['b'][:n].T, color='k', lw=1, alpha=0.3);\n", - "ax1.set_title('a ~ Normal(1, 1)\\nb ~ Normal(0, 1)')\n", + "ax1.plot(\n", + " rugged_plot,\n", + " m_8_1_prior[\"a\"][:n].T + rugged_plot.reshape(-1, 1) * m_8_1_prior[\"b\"][:n].T,\n", + " color=\"k\",\n", + " lw=1,\n", + " alpha=0.3,\n", + ")\n", + "ax1.set_title(\"a ~ Normal(1, 1)\\nb ~ Normal(0, 1)\")\n", "\n", - "ax2.plot(rugged_plot, m_8_1t_prior['a'][:n].T + rugged_plot.reshape(-1,1) * m_8_1t_prior['b'][:n].T, color='k', lw=1, alpha=0.3);\n", - "ax2.set_title('a ~ Normal(1, 0.1)\\nb ~ Normal(0, 0.3)')\n", + "ax2.plot(\n", + " rugged_plot,\n", + " m_8_1t_prior[\"a\"][:n].T + rugged_plot.reshape(-1, 1) * m_8_1t_prior[\"b\"][:n].T,\n", + " color=\"k\",\n", + " lw=1,\n", + " alpha=0.3,\n", + ")\n", + "ax2.set_title(\"a ~ Normal(1, 0.1)\\nb ~ Normal(0, 0.3)\")\n", "\n", "for ax in (ax1, ax2):\n", - " ax.set_xlabel('ruggedness')\n", - " ax.set_xlabel('log GDP (prop of mean)')\n", - " ax.axhline(0.7, ls='dashed', color='k', lw=1)\n", - " ax.axhline(1.3, ls='dashed', color='k', lw=1)\n", + " ax.set_xlabel(\"ruggedness\")\n", + " ax.set_xlabel(\"log GDP (prop of mean)\")\n", + " ax.axhline(0.7, ls=\"dashed\", color=\"k\", lw=1)\n", + " ax.axhline(1.3, ls=\"dashed\", color=\"k\", lw=1)\n", " ax.set_ylim(0.5, 1.5)\n", "\n", "fig.tight_layout()" @@ -298,7 +310,7 @@ } ], "source": [ - "az.summary(m_8_1t_trace, kind='stats', round_to=2)" + "az.summary(m_8_1t_trace, kind=\"stats\", round_to=2)" ] }, { @@ -314,7 +326,7 @@ "metadata": {}, "outputs": [], "source": [ - "cid = pd.Categorical(dd['cont_africa'])" + "cid = pd.Categorical(dd[\"cont_africa\"])" ] }, { @@ -347,14 +359,14 @@ ], "source": [ "with pm.Model() as m_8_2:\n", - " a = pm.Normal('a', 1, 0.1, shape=cid.categories.size)\n", - " b = pm.Normal('b', 0, 0.3)\n", - " \n", - " mu = a[cid] + b * (dd['rugged_std'] - 0.215)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, observed=dd['log_gdp_std'])\n", - " \n", + " a = pm.Normal(\"a\", 1, 0.1, shape=cid.categories.size)\n", + " b = pm.Normal(\"b\", 0, 0.3)\n", + "\n", + " mu = a[cid] + b * (dd[\"rugged_std\"] - 0.215)\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " log_gdp_std = pm.Normal(\"log_gdp_std\", mu, sigma, observed=dd[\"log_gdp_std\"])\n", + "\n", " m_8_2_trace = pm.sample()" ] }, @@ -458,7 +470,7 @@ } ], "source": [ - "az.compare({'m_8_1t': m_8_1t_trace, 'm_8_2': m_8_2_trace})" + "az.compare({\"m_8_1t\": m_8_1t_trace, \"m_8_2\": m_8_2_trace})" ] }, { @@ -555,7 +567,7 @@ } ], "source": [ - "az.summary(m_8_2_trace, kind='stats', round_to=2)" + "az.summary(m_8_2_trace, kind=\"stats\", round_to=2)" ] }, { @@ -592,7 +604,7 @@ "with m_8_2:\n", " m_8_2_posterior = pm.sample_posterior_predictive(m_8_2_trace, vars=[a, b, sigma])\n", "\n", - "diff_a0_a1 = m_8_2_posterior['a'][:,1] - m_8_2_posterior['a'][:,0]\n", + "diff_a0_a1 = m_8_2_posterior[\"a\"][:, 1] - m_8_2_posterior[\"a\"][:, 0]\n", "\n", "az.hpd(diff_a0_a1)" ] @@ -635,22 +647,34 @@ "\n", "rugged_plot = np.linspace(-0.1, 1.1)\n", "\n", - "ax.scatter(dd.loc[cid == 0, 'rugged_std'], dd.loc[cid == 0, 'log_gdp_std'], label='Not Africa', facecolor='w', lw=1, edgecolor='k')\n", + "ax.scatter(\n", + " dd.loc[cid == 0, \"rugged_std\"],\n", + " dd.loc[cid == 0, \"log_gdp_std\"],\n", + " label=\"Not Africa\",\n", + " facecolor=\"w\",\n", + " lw=1,\n", + " edgecolor=\"k\",\n", + ")\n", "\n", - "pred0 = m_8_2_posterior['a'][:, 0] + rugged_plot.reshape(-1,1) * m_8_2_posterior['b']\n", - "ax.plot(rugged_plot, pred0.mean(1), color='grey')\n", - "az.plot_hpd(rugged_plot, pred0.T, color='grey', credible_interval=0.97)\n", + "pred0 = m_8_2_posterior[\"a\"][:, 0] + rugged_plot.reshape(-1, 1) * m_8_2_posterior[\"b\"]\n", + "ax.plot(rugged_plot, pred0.mean(1), color=\"grey\")\n", + "az.plot_hpd(rugged_plot, pred0.T, color=\"grey\", credible_interval=0.97)\n", "\n", - "ax.scatter(dd.loc[cid == 1, 'rugged_std'], dd.loc[cid == 1, 'log_gdp_std'], label='Africa', color='k')\n", - "pred1 = m_8_2_posterior['a'][:, 1] + rugged_plot.reshape(-1,1) * m_8_2_posterior['b']\n", - "ax.plot(rugged_plot, pred1.mean(1), color='k')\n", - "az.plot_hpd(rugged_plot, pred1.T, color='grey', credible_interval=0.97)\n", + "ax.scatter(\n", + " dd.loc[cid == 1, \"rugged_std\"],\n", + " dd.loc[cid == 1, \"log_gdp_std\"],\n", + " label=\"Africa\",\n", + " color=\"k\",\n", + ")\n", + "pred1 = m_8_2_posterior[\"a\"][:, 1] + rugged_plot.reshape(-1, 1) * m_8_2_posterior[\"b\"]\n", + "ax.plot(rugged_plot, pred1.mean(1), color=\"k\")\n", + "az.plot_hpd(rugged_plot, pred1.T, color=\"grey\", credible_interval=0.97)\n", "\n", "ax.legend(frameon=True)\n", "\n", "ax.set_xlim(-0.1, 1.1)\n", - "ax.set_xlabel('ruggedness (standardised)')\n", - "ax.set_ylabel('log GDP (as proportion of mean)')" + "ax.set_xlabel(\"ruggedness (standardised)\")\n", + "ax.set_ylabel(\"log GDP (as proportion of mean)\")" ] }, { @@ -687,14 +711,14 @@ ], "source": [ "with pm.Model() as m_8_3:\n", - " a = pm.Normal('a', 1, 0.1, shape=cid.categories.size)\n", - " b = pm.Normal('b', 0, 0.3, shape=cid.categories.size)\n", - " \n", - " mu = a[cid] + b[cid] * (dd['rugged_std'] - 0.215)\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " log_gdp_std = pm.Normal('log_gdp_std', mu, sigma, observed=dd['log_gdp_std'])\n", - " \n", + " a = pm.Normal(\"a\", 1, 0.1, shape=cid.categories.size)\n", + " b = pm.Normal(\"b\", 0, 0.3, shape=cid.categories.size)\n", + "\n", + " mu = a[cid] + b[cid] * (dd[\"rugged_std\"] - 0.215)\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " log_gdp_std = pm.Normal(\"log_gdp_std\", mu, sigma, observed=dd[\"log_gdp_std\"])\n", + "\n", " m_8_3_trace = pm.sample()" ] }, @@ -800,7 +824,7 @@ } ], "source": [ - "az.summary(m_8_3_trace, kind='stats', round_to=2)" + "az.summary(m_8_3_trace, kind=\"stats\", round_to=2)" ] }, { @@ -916,7 +940,9 @@ } ], "source": [ - "az.compare({'m_8_1t': m_8_1t_trace, 'm_8_2': m_8_2_trace, 'm_8_3': m_8_3_trace}, ic='loo')" + "az.compare(\n", + " {\"m_8_1t\": m_8_1t_trace, \"m_8_2\": m_8_2_trace, \"m_8_3\": m_8_3_trace}, ic=\"loo\"\n", + ")" ] }, { @@ -988,7 +1014,7 @@ ], "source": [ "with m_8_3:\n", - " m_8_3_posterior = pm.sample_posterior_predictive(m_8_3_trace, vars=[a,b])" + " m_8_3_posterior = pm.sample_posterior_predictive(m_8_3_trace, vars=[a, b])" ] }, { @@ -1014,25 +1040,41 @@ "\n", "rugged_plot = np.linspace(-0.1, 1.1)\n", "\n", - "ax0.scatter(dd.loc[cid == 0, 'rugged_std'], dd.loc[cid == 0, 'log_gdp_std'], label='Not Africa', facecolor='w', lw=1, edgecolor='k')\n", + "ax0.scatter(\n", + " dd.loc[cid == 0, \"rugged_std\"],\n", + " dd.loc[cid == 0, \"log_gdp_std\"],\n", + " label=\"Not Africa\",\n", + " facecolor=\"w\",\n", + " lw=1,\n", + " edgecolor=\"k\",\n", + ")\n", "# calculating predicted manually because this is a pain with categorical variabiles in PyMC3\n", - "pred0 = m_8_3_posterior['a'][:, 0] + rugged_plot.reshape(-1,1) * m_8_3_posterior['b'][:, 0]\n", - "ax0.plot(rugged_plot, pred0.mean(1), color='grey')\n", - "az.plot_hpd(rugged_plot, pred0.T, color='grey', credible_interval=0.97, ax=ax0)\n", - "ax0.set_title('Non-African Nations')\n", + "pred0 = (\n", + " m_8_3_posterior[\"a\"][:, 0] + rugged_plot.reshape(-1, 1) * m_8_3_posterior[\"b\"][:, 0]\n", + ")\n", + "ax0.plot(rugged_plot, pred0.mean(1), color=\"grey\")\n", + "az.plot_hpd(rugged_plot, pred0.T, color=\"grey\", credible_interval=0.97, ax=ax0)\n", + "ax0.set_title(\"Non-African Nations\")\n", "\n", - "ax1.scatter(dd.loc[cid == 1, 'rugged_std'], dd.loc[cid == 1, 'log_gdp_std'], label='Africa', color='k')\n", + "ax1.scatter(\n", + " dd.loc[cid == 1, \"rugged_std\"],\n", + " dd.loc[cid == 1, \"log_gdp_std\"],\n", + " label=\"Africa\",\n", + " color=\"k\",\n", + ")\n", "# calculating predicted manually because this is a pain with categorical variabiles in PyMC3\n", - "pred1 = m_8_3_posterior['a'][:, 1] + rugged_plot.reshape(-1,1) * m_8_3_posterior['b'][:, 1]\n", - "ax1.plot(rugged_plot, pred1.mean(1), color='k')\n", - "az.plot_hpd(rugged_plot, pred1.T, color='grey', credible_interval=0.97, ax=ax1)\n", - "ax1.set_title('African Nations')\n", + "pred1 = (\n", + " m_8_3_posterior[\"a\"][:, 1] + rugged_plot.reshape(-1, 1) * m_8_3_posterior[\"b\"][:, 1]\n", + ")\n", + "ax1.plot(rugged_plot, pred1.mean(1), color=\"k\")\n", + "az.plot_hpd(rugged_plot, pred1.T, color=\"grey\", credible_interval=0.97, ax=ax1)\n", + "ax1.set_title(\"African Nations\")\n", "\n", "\n", "ax.set_xlim(-0.1, 1.1)\n", - "ax0.set_xlabel('ruggedness (standardised)')\n", - "ax1.set_xlabel('ruggedness (standardised)')\n", - "ax1.set_ylabel('log GDP (as proportion of mean)')\n", + "ax0.set_xlabel(\"ruggedness (standardised)\")\n", + "ax1.set_xlabel(\"ruggedness (standardised)\")\n", + "ax1.set_ylabel(\"log GDP (as proportion of mean)\")\n", "\n", "fig.tight_layout()" ] @@ -1078,10 +1120,10 @@ "plt.plot(rugged_plot, delta.mean(1))\n", "az.plot_hpd(rugged_plot, delta.T)\n", "\n", - "plt.axhline(0, ls='dashed', zorder=1, color=(0,0,0,0.5))\n", - "plt.xlabel('ruggedness')\n", - "plt.ylabel('expected difference log GDP')\n", - "plt.xlim(0,1)" + "plt.axhline(0, ls=\"dashed\", zorder=1, color=(0, 0, 0, 0.5))\n", + "plt.xlabel(\"ruggedness\")\n", + "plt.ylabel(\"expected difference log GDP\")\n", + "plt.xlim(0, 1)" ] }, { @@ -1185,7 +1227,7 @@ } ], "source": [ - "d = pd.read_csv('Data/tulips.csv', delimiter=';')\n", + "d = pd.read_csv(\"Data/tulips.csv\", delimiter=\";\")\n", "d.head()" ] }, @@ -1202,9 +1244,9 @@ "metadata": {}, "outputs": [], "source": [ - "d['blooms_std'] = d['blooms'] / d['blooms'].max()\n", - "d['water_cent'] = d['water'] - d['water'].mean()\n", - "d['shade_cent'] = d['shade'] - d['shade'].mean()" + "d[\"blooms_std\"] = d[\"blooms\"] / d[\"blooms\"].max()\n", + "d[\"water_cent\"] = d[\"water\"] - d[\"water\"].mean()\n", + "d[\"shade_cent\"] = d[\"shade\"] - d[\"shade\"].mean()" ] }, { @@ -1290,15 +1332,15 @@ ], "source": [ "with pm.Model() as m_8_4:\n", - " a = pm.Normal('a', 0.5, 0.25)\n", - " bw = pm.Normal('bw', 0, 0.25)\n", - " bs = pm.Normal('bs', 0, 0.25)\n", - " \n", - " mu = a + bw * d['water_cent'] + bs * d['shade_cent']\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " blooms_std = pm.Normal('blooms_std', mu, sigma, observed=d['blooms_std'])\n", - " \n", + " a = pm.Normal(\"a\", 0.5, 0.25)\n", + " bw = pm.Normal(\"bw\", 0, 0.25)\n", + " bs = pm.Normal(\"bs\", 0, 0.25)\n", + "\n", + " mu = a + bw * d[\"water_cent\"] + bs * d[\"shade_cent\"]\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " blooms_std = pm.Normal(\"blooms_std\", mu, sigma, observed=d[\"blooms_std\"])\n", + "\n", " m_8_4_trace = pm.sample()\n", " m_8_4_post = pm.sample_posterior_predictive(m_8_4_trace, vars=[a, bw, bs])" ] @@ -1330,16 +1372,21 @@ ], "source": [ "with pm.Model() as m_8_5:\n", - " a = pm.Normal('a', 0.5, 0.25)\n", - " bw = pm.Normal('bw', 0, 0.25)\n", - " bs = pm.Normal('bs', 0, 0.25)\n", - " bws = pm.Normal('bws', 0, 0.25)\n", - " \n", - " mu = a + bw * d['water_cent'] + bs * d['shade_cent'] + bws * d['water_cent'] * d['shade_cent']\n", - " sigma = pm.Exponential('sigma', 1)\n", - " \n", - " blooms_std = pm.Normal('blooms_std', mu, sigma, observed=d['blooms_std'])\n", - " \n", + " a = pm.Normal(\"a\", 0.5, 0.25)\n", + " bw = pm.Normal(\"bw\", 0, 0.25)\n", + " bs = pm.Normal(\"bs\", 0, 0.25)\n", + " bws = pm.Normal(\"bws\", 0, 0.25)\n", + "\n", + " mu = (\n", + " a\n", + " + bw * d[\"water_cent\"]\n", + " + bs * d[\"shade_cent\"]\n", + " + bws * d[\"water_cent\"] * d[\"shade_cent\"]\n", + " )\n", + " sigma = pm.Exponential(\"sigma\", 1)\n", + "\n", + " blooms_std = pm.Normal(\"blooms_std\", mu, sigma, observed=d[\"blooms_std\"])\n", + "\n", " m_8_5_trace = pm.sample()\n", " m_8_5_post = pm.sample_posterior_predictive(m_8_5_trace, vars=[a, bw, bs, bws])" ] @@ -1405,29 +1452,33 @@ "for i, shade in enumerate([-1, 0, 1]):\n", " ind = d.shade_cent == shade\n", " for ax in axs[:, i]:\n", - " ax.scatter(d.loc[ind, 'water_cent'], d.loc[ind, 'blooms_std'])\n", + " ax.scatter(d.loc[ind, \"water_cent\"], d.loc[ind, \"blooms_std\"])\n", " # top row, m_8_4\n", " ax = axs[0, i]\n", - " ax.set_title(f'm8.4 post: shade = {shade:.0f}', fontsize=11)\n", - " pred_y = (m_8_4_post['a'][:n_lines] +\n", - " m_8_4_post['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", - " m_8_4_post['bs'][:n_lines] * shade)\n", - " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", - " \n", + " ax.set_title(f\"m8.4 post: shade = {shade:.0f}\", fontsize=11)\n", + " pred_y = (\n", + " m_8_4_post[\"a\"][:n_lines]\n", + " + m_8_4_post[\"bw\"][:n_lines] * pred_x.reshape(-1, 1)\n", + " + m_8_4_post[\"bs\"][:n_lines] * shade\n", + " )\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0, 0, 0, 0.4))\n", + "\n", " # bottom row, m_8_5\n", " ax = axs[1, i]\n", - " ax.set_title(f'm8.5 post: shade = {shade:.0f}', fontsize=11)\n", - " pred_y = (m_8_5_post['a'][:n_lines] +\n", - " m_8_5_post['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", - " m_8_5_post['bs'][:n_lines] * shade +\n", - " m_8_5_post['bws'][:n_lines] * pred_x.reshape(-1,1) * shade)\n", - " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", + " ax.set_title(f\"m8.5 post: shade = {shade:.0f}\", fontsize=11)\n", + " pred_y = (\n", + " m_8_5_post[\"a\"][:n_lines]\n", + " + m_8_5_post[\"bw\"][:n_lines] * pred_x.reshape(-1, 1)\n", + " + m_8_5_post[\"bs\"][:n_lines] * shade\n", + " + m_8_5_post[\"bws\"][:n_lines] * pred_x.reshape(-1, 1) * shade\n", + " )\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0, 0, 0, 0.4))\n", "\n", "for ax in axs.flat:\n", " if ax.is_first_col():\n", - " ax.set_ylabel('blooms')\n", + " ax.set_ylabel(\"blooms\")\n", " if ax.is_last_row():\n", - " ax.set_xlabel('water')\n", + " ax.set_xlabel(\"water\")\n", "\n", "fig.tight_layout()" ] @@ -1446,10 +1497,10 @@ "outputs": [], "source": [ "with m_8_4:\n", - " m_8_4_priors = pm.sample_prior_predictive(vars=['a', 'bw', 'bs'])\n", + " m_8_4_priors = pm.sample_prior_predictive(vars=[\"a\", \"bw\", \"bs\"])\n", "\n", "with m_8_5:\n", - " m_8_5_priors = pm.sample_prior_predictive(vars=['a', 'bw', 'bs', 'bws'])" + " m_8_5_priors = pm.sample_prior_predictive(vars=[\"a\", \"bw\", \"bs\", \"bws\"])" ] }, { @@ -1477,31 +1528,35 @@ "for i, shade in enumerate([-1, 0, 1]):\n", " # top row, m_8_4\n", " ax = axs[0, i]\n", - " ax.set_title(f'm8.4 prior: shade = {shade:.0f}', fontsize=11)\n", - " pred_y = (m_8_4_priors['a'][:n_lines] +\n", - " m_8_4_priors['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", - " m_8_4_priors['bs'][:n_lines] * shade)\n", - " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", - " ax.plot(pred_x, pred_y[:,0], lw=2, color='k')\n", - " \n", + " ax.set_title(f\"m8.4 prior: shade = {shade:.0f}\", fontsize=11)\n", + " pred_y = (\n", + " m_8_4_priors[\"a\"][:n_lines]\n", + " + m_8_4_priors[\"bw\"][:n_lines] * pred_x.reshape(-1, 1)\n", + " + m_8_4_priors[\"bs\"][:n_lines] * shade\n", + " )\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0, 0, 0, 0.4))\n", + " ax.plot(pred_x, pred_y[:, 0], lw=2, color=\"k\")\n", + "\n", " # bottom row, m_8_5\n", " ax = axs[1, i]\n", - " ax.set_title(f'm8.5 prior: shade = {shade:.0f}', fontsize=11)\n", - " pred_y = (m_8_5_priors['a'][:n_lines] +\n", - " m_8_5_priors['bw'][:n_lines] * pred_x.reshape(-1,1) +\n", - " m_8_5_priors['bs'][:n_lines] * shade +\n", - " m_8_5_priors['bws'][:n_lines] * pred_x.reshape(-1,1) * shade)\n", - " ax.plot(pred_x, pred_y, lw=1, color=(0,0,0,0.4))\n", - " ax.plot(pred_x, pred_y[:,0], lw=2, color='k')\n", + " ax.set_title(f\"m8.5 prior: shade = {shade:.0f}\", fontsize=11)\n", + " pred_y = (\n", + " m_8_5_priors[\"a\"][:n_lines]\n", + " + m_8_5_priors[\"bw\"][:n_lines] * pred_x.reshape(-1, 1)\n", + " + m_8_5_priors[\"bs\"][:n_lines] * shade\n", + " + m_8_5_priors[\"bws\"][:n_lines] * pred_x.reshape(-1, 1) * shade\n", + " )\n", + " ax.plot(pred_x, pred_y, lw=1, color=(0, 0, 0, 0.4))\n", + " ax.plot(pred_x, pred_y[:, 0], lw=2, color=\"k\")\n", "\n", "for ax in axs.flat:\n", " ax.set_ylim(-0.5, 1.5)\n", - " ax.axhline(1, ls='dashed', color=(0,0,0,0.6))\n", - " ax.axhline(0, ls='dashed', color=(0,0,0,0.6))\n", + " ax.axhline(1, ls=\"dashed\", color=(0, 0, 0, 0.6))\n", + " ax.axhline(0, ls=\"dashed\", color=(0, 0, 0, 0.6))\n", " if ax.is_first_col():\n", - " ax.set_ylabel('blooms')\n", + " ax.set_ylabel(\"blooms\")\n", " if ax.is_last_row():\n", - " ax.set_xlabel('water')\n", + " ax.set_xlabel(\"water\")\n", "\n", "fig.tight_layout()" ] From 09776c3091dc42722841bcebd5d7b31352582e71 Mon Sep 17 00:00:00 2001 From: Oscar Date: Tue, 19 May 2020 00:48:54 +0100 Subject: [PATCH 12/15] restart and run all --- Rethinking_2/Chp_08.ipynb | 310 +++++++++++++++++++------------------- 1 file changed, 151 insertions(+), 159 deletions(-) diff --git a/Rethinking_2/Chp_08.ipynb b/Rethinking_2/Chp_08.ipynb index d792780..5864939 100644 --- a/Rethinking_2/Chp_08.ipynb +++ b/Rethinking_2/Chp_08.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 209, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -105,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -124,16 +124,16 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.264" + "0.23" ] }, - "execution_count": 112, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -151,7 +151,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -162,7 +162,7 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1110.46draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1491.90draws/s]\n" ] } ], @@ -183,12 +183,12 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -241,7 +241,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -277,14 +277,14 @@ " 1.00\n", " 0.01\n", " 0.98\n", - " 1.02\n", + " 1.01\n", " \n", " \n", " b\n", " 0.00\n", " 0.06\n", - " -0.08\n", - " 0.10\n", + " -0.09\n", + " 0.08\n", " \n", " \n", " sigma\n", @@ -299,12 +299,12 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5%\n", - "a 1.00 0.01 0.98 1.02\n", - "b 0.00 0.06 -0.08 0.10\n", + "a 1.00 0.01 0.98 1.01\n", + "b 0.00 0.06 -0.09 0.08\n", "sigma 0.14 0.01 0.13 0.15" ] }, - "execution_count": 116, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -322,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -338,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -349,9 +349,13 @@ " rval = inputs[0].__getitem__(inputs[1:])\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 891.44draws/s] \n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1138.00draws/s]\n", + "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " rval = inputs[0].__getitem__(inputs[1:])\n", "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", " rval = inputs[0].__getitem__(inputs[1:])\n" ] @@ -379,15 +383,13 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/arviz/stats/stats.py:1210: UserWarning: For one or more samples the posterior variance of the log predictive densities exceeds 0.4. This could be indication of WAIC starting to fail. \n", "See http://arxiv.org/abs/1507.04544 for details\n", " \"For one or more samples the posterior variance of the log predictive \"\n" @@ -429,11 +431,11 @@ " \n", " m_8_2\n", " 0\n", - " -252.452\n", - " 4.06208\n", + " -252.28\n", + " 4.12419\n", " 0\n", - " 0.999985\n", - " 12.6155\n", + " 0.999949\n", + " 13.1613\n", " 0\n", " True\n", " deviance\n", @@ -441,12 +443,12 @@ " \n", " m_8_1t\n", " 1\n", - " -188.864\n", - " 2.58501\n", - " 63.588\n", - " 1.53624e-05\n", - " 14.4815\n", - " 14.6258\n", + " -188.94\n", + " 2.50624\n", + " 63.3395\n", + " 5.13188e-05\n", + " 14.39\n", + " 14.6279\n", " False\n", " deviance\n", " \n", @@ -455,16 +457,16 @@ "" ], "text/plain": [ - " rank waic p_waic d_waic weight se dse warning \\\n", - "m_8_2 0 -252.452 4.06208 0 0.999985 12.6155 0 True \n", - "m_8_1t 1 -188.864 2.58501 63.588 1.53624e-05 14.4815 14.6258 False \n", + " rank waic p_waic d_waic weight se dse warning \\\n", + "m_8_2 0 -252.28 4.12419 0 0.999949 13.1613 0 True \n", + "m_8_1t 1 -188.94 2.50624 63.3395 5.13188e-05 14.39 14.6279 False \n", "\n", " waic_scale \n", "m_8_2 deviance \n", "m_8_1t deviance " ] }, - "execution_count": 122, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -482,7 +484,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -526,21 +528,21 @@ " 1.05\n", " 0.01\n", " 1.03\n", - " 1.06\n", + " 1.07\n", " \n", " \n", " a[1]\n", " 0.88\n", " 0.02\n", - " 0.85\n", + " 0.86\n", " 0.91\n", " \n", " \n", " b\n", - " -0.05\n", - " 0.05\n", + " -0.04\n", + " 0.04\n", " -0.12\n", - " 0.03\n", + " 0.02\n", " \n", " \n", " sigma\n", @@ -555,13 +557,13 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5%\n", - "a[0] 1.05 0.01 1.03 1.06\n", - "a[1] 0.88 0.02 0.85 0.91\n", - "b -0.05 0.05 -0.12 0.03\n", + "a[0] 1.05 0.01 1.03 1.07\n", + "a[1] 0.88 0.02 0.86 0.91\n", + "b -0.04 0.04 -0.12 0.02\n", "sigma 0.11 0.01 0.10 0.12" ] }, - "execution_count": 123, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -579,23 +581,23 @@ }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [00:00<00:00, 9978.12it/s]\n" + "100%|██████████| 1000/1000 [00:00<00:00, 10275.22it/s]\n" ] }, { "data": { "text/plain": [ - "array([-0.20002221, -0.13920712])" + "array([-0.19784896, -0.13946415])" ] }, - "execution_count": 143, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -618,7 +620,7 @@ }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -627,13 +629,13 @@ "Text(0, 0.5, 'log GDP (as proportion of mean)')" ] }, - "execution_count": 171, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -686,7 +688,7 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -701,7 +703,7 @@ " rval = inputs[0].__getitem__(inputs[1:])\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:03<00:00, 663.12draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 798.68draws/s] \n", "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", " rval = inputs[0].__getitem__(inputs[1:])\n", "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", @@ -731,17 +733,9 @@ }, { "cell_type": "code", - "execution_count": 173, + "execution_count": 17, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n" - ] - }, { "data": { "text/html": [ @@ -774,28 +768,28 @@ " a[0]\n", " 1.05\n", " 0.01\n", - " 1.03\n", + " 1.04\n", " 1.07\n", " \n", " \n", " a[1]\n", " 0.89\n", " 0.02\n", - " 0.87\n", + " 0.86\n", " 0.91\n", " \n", " \n", " b[0]\n", " -0.14\n", - " 0.06\n", - " -0.23\n", + " 0.05\n", + " -0.22\n", " -0.05\n", " \n", " \n", " b[1]\n", " 0.13\n", - " 0.08\n", - " 0.00\n", + " 0.07\n", + " 0.03\n", " 0.25\n", " \n", " \n", @@ -811,14 +805,14 @@ ], "text/plain": [ " mean sd hpd_5.5% hpd_94.5%\n", - "a[0] 1.05 0.01 1.03 1.07\n", - "a[1] 0.89 0.02 0.87 0.91\n", - "b[0] -0.14 0.06 -0.23 -0.05\n", - "b[1] 0.13 0.08 0.00 0.25\n", + "a[0] 1.05 0.01 1.04 1.07\n", + "a[1] 0.89 0.02 0.86 0.91\n", + "b[0] -0.14 0.05 -0.22 -0.05\n", + "b[1] 0.13 0.07 0.03 0.25\n", "sigma 0.11 0.01 0.10 0.12" ] }, - "execution_count": 173, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -836,7 +830,7 @@ }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -885,11 +879,11 @@ " \n", " m_8_3\n", " 0\n", - " -258.886\n", - " 5.11144\n", + " -259.688\n", + " 4.78392\n", " 0\n", - " 0.822489\n", - " 12.9027\n", + " 0.854126\n", + " 12.7402\n", " 0\n", " False\n", " deviance\n", @@ -897,24 +891,24 @@ " \n", " m_8_2\n", " 1\n", - " -252.434\n", - " 4.07117\n", - " 6.45188\n", - " 0.177511\n", - " 14.2696\n", - " 6.43702\n", + " -252.264\n", + " 4.13191\n", + " 7.42429\n", + " 0.145874\n", + " 15.2444\n", + " 6.4939\n", " False\n", " deviance\n", " \n", " \n", " m_8_1t\n", " 2\n", - " -188.86\n", - " 2.58717\n", - " 70.026\n", - " 6.32745e-08\n", - " 14.2184\n", - " 14.8092\n", + " -188.936\n", + " 2.50839\n", + " 70.7526\n", + " 2.81219e-08\n", + " 14.7605\n", + " 14.8341\n", " False\n", " deviance\n", " \n", @@ -924,9 +918,9 @@ ], "text/plain": [ " rank loo p_loo d_loo weight se dse warning \\\n", - "m_8_3 0 -258.886 5.11144 0 0.822489 12.9027 0 False \n", - "m_8_2 1 -252.434 4.07117 6.45188 0.177511 14.2696 6.43702 False \n", - "m_8_1t 2 -188.86 2.58717 70.026 6.32745e-08 14.2184 14.8092 False \n", + "m_8_3 0 -259.688 4.78392 0 0.854126 12.7402 0 False \n", + "m_8_2 1 -252.264 4.13191 7.42429 0.145874 15.2444 6.4939 False \n", + "m_8_1t 2 -188.936 2.50839 70.7526 2.81219e-08 14.7605 14.8341 False \n", "\n", " loo_scale \n", "m_8_3 deviance \n", @@ -934,7 +928,7 @@ "m_8_1t deviance " ] }, - "execution_count": 175, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -954,7 +948,7 @@ }, { "cell_type": "code", - "execution_count": 178, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -968,16 +962,16 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 178, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1001,14 +995,14 @@ }, { "cell_type": "code", - "execution_count": 184, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [00:00<00:00, 10640.53it/s]\n" + "100%|██████████| 1000/1000 [00:00<00:00, 9276.89it/s]\n" ] } ], @@ -1019,12 +1013,12 @@ }, { "cell_type": "code", - "execution_count": 189, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1088,7 +1082,7 @@ }, { "cell_type": "code", - "execution_count": 206, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1097,13 +1091,13 @@ "(0.0, 1.0)" ] }, - "execution_count": 206, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1142,7 +1136,7 @@ }, { "cell_type": "code", - "execution_count": 207, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -1221,7 +1215,7 @@ "4 a 2 2 59.16" ] }, - "execution_count": 207, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1240,7 +1234,7 @@ }, { "cell_type": "code", - "execution_count": 208, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -1258,16 +1252,16 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.6114" + "0.6249" ] }, - "execution_count": 217, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1286,16 +1280,16 @@ }, { "cell_type": "code", - "execution_count": 218, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0.043" + "0.0462" ] }, - "execution_count": 218, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -1314,7 +1308,7 @@ }, { "cell_type": "code", - "execution_count": 229, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1325,8 +1319,8 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bs, bw, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1015.08draws/s]\n", - "100%|██████████| 1000/1000 [00:00<00:00, 16173.37it/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1233.81draws/s]\n", + "100%|██████████| 1000/1000 [00:00<00:00, 10318.75it/s]\n" ] } ], @@ -1354,7 +1348,7 @@ }, { "cell_type": "code", - "execution_count": 230, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1365,8 +1359,9 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bws, bs, bw, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 966.75draws/s] \n", - "100%|██████████| 1000/1000 [00:00<00:00, 13166.24it/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 833.64draws/s]\n", + "The acceptance probability does not match the target. It is 0.8819097065178743, but should be close to 0.8. Try to increase the number of tuning steps.\n", + "100%|██████████| 1000/1000 [00:00<00:00, 14799.94it/s]\n" ] } ], @@ -1400,41 +1395,12 @@ }, { "cell_type": "code", - "execution_count": 247, - "metadata": {}, - "outputs": [], - "source": [ - "pred = " - ] - }, - { - "cell_type": "code", - "execution_count": 249, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "(2, 20)" - ] - }, - "execution_count": 249, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pred.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 261, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1492,7 +1458,7 @@ }, { "cell_type": "code", - "execution_count": 263, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -1505,12 +1471,12 @@ }, { "cell_type": "code", - "execution_count": 276, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1560,6 +1526,32 @@ "\n", "fig.tight_layout()" ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pymc3 3.8\n", + "pandas 1.0.3\n", + "numpy 1.18.1\n", + "arviz 0.7.0\n", + "last updated: Tue May 19 2020 \n", + "\n", + "CPython 3.7.6\n", + "IPython 7.13.0\n", + "watermark 2.0.2\n" + ] + } + ], + "source": [ + "%load_ext watermark\n", + "%watermark -n -u -v -iv -w" + ] } ], "metadata": { From d4959020250b8d5964ab8de8f6b498008a25fc1d Mon Sep 17 00:00:00 2001 From: Oscar Date: Tue, 19 May 2020 00:52:28 +0100 Subject: [PATCH 13/15] Data for Chp_08 --- Rethinking_2/Data/rugged.csv | 235 +++++++++++++++++++++++++++++++++++ Rethinking_2/Data/tulips.csv | 28 +++++ 2 files changed, 263 insertions(+) create mode 100755 Rethinking_2/Data/rugged.csv create mode 100755 Rethinking_2/Data/tulips.csv diff --git a/Rethinking_2/Data/rugged.csv b/Rethinking_2/Data/rugged.csv new file mode 100755 index 0000000..b3210d5 --- /dev/null +++ b/Rethinking_2/Data/rugged.csv @@ -0,0 +1,235 @@ +isocode;isonum;country;rugged;rugged_popw;rugged_slope;rugged_lsd;rugged_pc;land_area;lat;lon;soil;desert;tropical;dist_coast;near_coast;gemstones;rgdppc_2000;rgdppc_1950_m;rgdppc_1975_m;rgdppc_2000_m;rgdppc_1950_2000_m;q_rule_law;cont_africa;cont_asia;cont_europe;cont_oceania;cont_north_america;cont_south_america;legor_gbr;legor_fra;legor_soc;legor_deu;legor_sca;colony_esp;colony_gbr;colony_fra;colony_prt;colony_oeu;africa_region_n;africa_region_s;africa_region_w;africa_region_e;africa_region_c;slave_exports;dist_slavemkt_atlantic;dist_slavemkt_indian;dist_slavemkt_saharan;dist_slavemkt_redsea;pop_1400;european_descent +"ABW";533;"Aruba";0.462;0.380;1.226;0.144;0.000;18;12.508;-69.970;21.324;0.000;100.000;0.001;100;0;;;;;;;0;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;614; +"AFG";4;"Afghanistan";2.518;1.469;7.414;0.720;39.004;65209;33.833;66.026;27.849;4.356;0.000;0.922;0;0;;644.756;720.633;565.231;679.791;-1.687;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1870829;0.000 +"AGO";24;"Angola";0.858;0.714;2.274;0.228;4.906;124670;-12.299;17.551;26.676;0.425;44.346;0.428;13.1587;47756;1794.729;1051.822;1073.036;765.215;1106.763;-1.567;1;0;0;0;0;0;0;1;0;0;0;0;0;0;1;0;0;0;0;0;1;3.61e+06;5.669;6.981;4.926;3.872;1223208;2.000 +"AIA";660;"Anguilla";0.013;0.010;0.026;0.006;0.000;9;18.231;-63.064;100.000;0.000;100.000;0.000;100;0;;;;;;;0;0;0;0;1;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"ALB";8;"Albania";3.427;1.597;10.451;1.006;62.133;2740;41.143;20.070;68.088;0.000;0.000;0.048;94.6919;0;3703.113;1001.339;2289.472;2741.420;1931.784;-0.820;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;200000;100.000 +"AND";20;"Andorra";5.717;6.722;17.774;1.616;99.064;47;42.551;1.576;0.000;0.000;0.000;0.134;0;0;;;;;;1.515;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"ANT";530;"Netherlands Antilles";0.255;0.039;0.680;0.080;0.000;80;12.725;-68.157;24.595;0.000;74.555;0.001;100;0;;;;;;;0;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1802; +"ARE";784;"United Arab Emirates";0.769;0.316;2.112;0.191;6.142;8360;23.913;54.331;0.000;77.280;0.000;0.065;75.7464;0;20604.460;15797.558;25465.002;17567.883;20119.992;0.913;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;19200;0.000 +"ARG";32;"Argentina";0.775;0.220;2.268;0.226;9.407;273669;-35.396;-65.170;35.678;0.000;0.000;0.352;13.0167;0;12173.680;4986.725;8122.497;8543.558;6926.810;0.033;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;276632;89.889 +"ARM";51;"Armenia";2.688;0.934;8.178;0.799;50.556;2820;40.294;44.938;30.148;0.000;0.000;0.348;0;0;2421.985;;;4565.035;;-0.453;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;105743;0.500 +"ASM";16;"American Samoa";2.647;1.630;7.032;0.792;44.303;20;-14.200;-170.388;100.000;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"ATG";28;"Antigua and Barbuda";0.006;0.003;0.012;0.003;0.000;44;17.271;-61.800;100.000;0.000;100.000;0.001;100;0;10022.030;;;;;0.990;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;747; +"AUS";36;"Australia";0.143;0.183;0.405;0.045;0.685;768230;-25.733;134.487;14.248;10.889;14.680;0.336;20.9399;264154;25417.440;7411.577;13169.830;21605.334;13184.232;1.773;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;200000;89.954 +"AUT";40;"Austria";3.513;1.152;11.095;1.008;54.307;8245;47.589;14.140;55.098;0.000;0.000;0.242;2.25634;0;28987.840;3706.075;11646.408;20691.416;11601.704;1.853;0;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1250000;98.400 +"AZE";31;"Azerbaijan";1.672;0.534;5.080;0.490;27.713;8260.5;40.288;47.528;60.957;0.000;0.000;0.584;0;0;2570.944;;;2538.140;;-1.007;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;226250;4.000 +"BDI";108;"Burundi";1.780;1.586;4.721;0.500;27.519;2568;-3.365;29.887;24.049;0.000;75.354;0.906;0;0;621.652;360.142;534.858;495.977;530.763;-1.250;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;1;0;0;0;1;0;86.997;10.626;2.570;3.719;2.215;239693;0.000 +"BEL";56;"Belgium";0.388;0.261;1.239;0.109;0.178;3023;50.642;4.661;48.967;0.000;0.000;0.113;45.9637;0;27302.990;5462.205;12440.785;20656.459;12223.306;1.413;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;773466;98.000 +"BEN";204;"Benin";0.141;0.099;0.377;0.045;0.014;11062;9.650;2.339;74.973;0.000;97.489;0.367;10.2806;0;959.222;1083.628;969.318;1282.898;1082.474;-0.230;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;4.57e+05;5.121;9.234;2.835;3.902;348867;0.000 +"BFA";854;"Burkina Faso";0.236;0.214;0.638;0.066;0.051;27360;12.274;-1.747;56.909;0.000;49.820;0.735;0;0;998.416;474.313;669.515;921.090;719.511;-0.520;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;1.67e+05;4.775;9.299;2.764;4.239;692976;0.000 +"BGD";50;"Bangladesh";0.186;0.065;0.502;0.053;1.817;13017;23.848;90.270;41.883;0.000;75.038;0.071;71.3844;0;1479.086;539.544;528.607;861.700;599.122;-0.807;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;9103705;0.000 +"BGR";100;"Bulgaria";1.479;0.711;4.498;0.427;20.196;11063;42.765;25.239;82.101;0.000;0.000;0.149;31.4395;0;5979.171;1651.031;5830.809;5349.921;4567.501;-0.160;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;894427;98.850 +"BHR";48;"Bahrain";0.231;0.163;0.627;0.063;0.000;71;26.025;50.565;0.000;0.000;0.000;0.002;100;0;15928.090;2104.454;3922.257;5058.844;3776.897;0.457;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;31897;0.000 +"BHS";44;"Bahamas";0.055;0.100;0.144;0.017;0.000;1001;24.255;-76.610;13.924;0.000;100.000;0.003;100;0;16977.200;;;;;1.063;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;1276; +"BIH";70;"Bosnia and Herzegovina";2.311;1.288;7.075;0.665;40.253;5120;44.175;17.784;76.888;0.000;0.000;0.117;42.7623;0;5294.975;;;5572.282;;-0.440;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;366341;100.000 +"BLR";112;"Belarus";0.164;0.208;0.540;0.046;0.000;20748;53.542;28.054;50.611;0.000;0.000;0.598;0;0;4802.110;;;6264.544;;-0.900;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;487364;100.000 +"BLZ";84;"Belize";0.607;0.226;1.616;0.174;6.568;2281;17.205;-88.687;35.490;0.000;100.000;0.026;100;0;5869.233;;;;;0.257;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;5326;39.910 +"BMU";60;"Bermuda";0.015;0.014;0.030;0.006;0.000;5;32.310;-64.772;20.000;0.000;0.000;0.000;100;0;;;;;;1.255;0;0;0;0;1;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;601; +"BOL";68;"Bolivia";0.853;0.911;2.343;0.258;13.570;108438;-16.710;-64.662;31.807;0.000;64.878;0.655;0;0;2398.855;1919.359;2515.915;2574.755;2153.277;-0.327;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;829897;26.732 +"BRA";76;"Brazil";0.240;0.250;0.654;0.076;0.558;845942;-10.775;-53.085;18.783;0.000;88.567;0.642;9.68309;12159;7300.865;1671.723;4189.509;5556.415;3761.573;-0.257;0;0;0;0;0;1;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0.000;;;;;931150;74.430 +"BRB";52;"Barbados";0.963;0.695;2.581;0.289;3.823;43;13.167;-59.555;30.588;0.000;100.000;0.002;100;0;15290.579;;;;;0.760;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;3403; +"BRN";96;"Brunei Darussalam";0.520;0.134;1.366;0.162;5.089;527;4.521;114.748;62.290;0.000;100.000;0.023;100;0;;;;;;0.590;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;2328; +"BTN";64;"Bhutan";6.740;4.913;19.325;1.962;96.475;4700;27.417;90.435;66.365;0.000;0.000;0.389;0;0;;;;;;-0.277;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;36082;0.000 +"BWA";72;"Botswana";0.181;0.478;0.488;0.048;0.301;56673;-22.189;23.814;15.249;1.455;0.000;0.764;0;208687;7702.508;348.507;1223.490;4268.641;1631.317;0.580;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0.000;5.686;5.765;5.857;4.300;80312;1.500 +"CAF";140;"Central African Republic";0.197;0.257;0.528;0.060;0.033;62300;6.574;20.487;10.967;0.000;97.382;1.081;0;10802;1148.051;771.577;781.799;575.543;757.838;-1.070;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;2009.941;5.642;8.772;2.840;2.293;387580;0.600 +"CAN";124;"Canada";0.775;0.370;2.695;0.230;9.122;909351;61.495;-98.334;16.794;0.000;0.000;1.430;4.4433;5166;27289.260;7291.480;14316.263;22360.119;14002.496;1.757;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;174110;85.330 +"CCK";166;"Cocos (Keeling) Islands";0.015;0.018;0.031;0.005;0.000;1;-12.122;96.867;;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"CHE";756;"Switzerland";4.761;1.450;14.999;1.388;66.060;4000;46.806;8.226;39.341;0.000;0.000;0.278;0;0;30161.290;9063.698;17224.018;22474.859;16696.838;2.023;0;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;600000;98.500 +"CHL";152;"Chile";2.481;0.677;7.365;0.731;38.199;74880;-37.937;-71.384;22.158;15.489;0.000;0.074;68.3825;0;9115.475;3669.742;4273.292;10310.834;5636.808;1.183;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;553265;59.190 +"CHN";156;"China";1.878;0.708;5.493;0.537;28.648;932748;36.564;103.836;22.836;5.770;0.301;0.987;5.76513;4410;3928.315;448.022;871.181;3420.866;1268.328;-0.357;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;80943756;0.000 +"CIV";384;"Cote d'Ivoire";0.224;0.159;0.594;0.069;0.493;31800;7.623;-5.554;26.151;0.000;100.000;0.284;16.359;3239;1575.628;1040.878;1800.013;1352.019;1536.270;-0.860;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;52645.949;4.186;9.457;3.353;4.794;435857;0.000 +"CMR";120;"Cameroon";0.515;0.545;1.374;0.157;4.031;46540;5.697;12.743;27.829;0.000;94.120;0.389;10.9018;0;1882.687;670.951;1051.615;1082.339;1036.539;-1.287;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;66718.812;5.642;8.772;3.003;3.051;1317285;0.000 +"COD";180;"Democratic Republic of the Congo";0.443;0.531;1.177;0.126;2.763;226705;-2.879;23.658;16.001;0.000;94.866;1.016;.686405;87149;668.663;569.742;760.789;216.950;611.093;-2.050;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;1;0;0;0;0;1;7.67e+05;5.712;7.643;3.748;2.687;3593277;0.460 +"COG";178;"Congo";0.152;0.411;0.406;0.049;0.243;34150;-0.831;15.246;4.063;0.000;100.000;0.457;4.83001;0;957.403;1198.207;2191.133;2005.219;1914.573;-1.413;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;94662.922;5.527;7.924;3.697;3.227;238219;0.000 +"COK";184;"Cook Islands";0.960;0.594;2.641;0.300;14.999;24;-19.213;-158.978;25.000;0.000;100.000;0.000;100;0;;;;;;0.860;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"COL";170;"Colombia";0.885;0.890;2.376;0.277;14.366;110950;3.838;-72.866;30.444;0.000;89.763;0.379;16.7275;0;6243.656;2152.841;3622.226;5095.796;3661.919;-0.767;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;902880;45.600 +"COM";174;"Comoros";3.328;2.172;9.049;1.063;64.479;186.1;-11.888;43.671;56.043;0.000;100.000;0.003;100;0;1770.218;560.305;804.062;580.913;730.933;-1.280;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0.000;10.131;1.754;4.846;2.610;0;0.000 +"CPV";132;"Cape Verde";2.367;1.399;6.502;0.759;40.048;403;15.942;-23.981;11.663;0.000;0.000;0.004;100;0;4859.108;449.648;524.742;1776.535;809.993;0.710;1;0;0;0;0;0;0;1;0;0;0;0;0;0;1;0;0;0;1;0;0;0.000;3.647;11.600;3.482;6.465;0;41.400 +"CRI";188;"Costa Rica";2.112;1.044;5.708;0.623;36.610;5106;9.969;-84.199;52.082;0.000;94.017;0.031;100;0;8621.291;1963.132;4396.007;6173.734;3955.164;0.637;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;74647;60.390 +"CUB";192;"Cuba";0.528;0.293;1.448;0.153;6.129;10982;21.626;-79.018;45.947;0.000;100.000;0.020;100;0;;2046.226;2404.287;2415.604;2334.104;-0.877;0;0;0;0;1;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;95479;63.000 +"CXR";162;"Christmas Island";1.321;1.422;3.477;0.403;14.025;13.5;-10.488;105.643;;0.000;100.000;0.000;100;0;;;;;;;0;1;0;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"CYM";136;"Cayman Islands";0.096;0.085;0.237;0.028;0.000;26;19.414;-80.926;100.000;0.000;100.000;0.001;100;0;;;;;;1.515;0;0;0;0;1;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"CYP";196;"Cyprus";2.718;0.909;7.867;0.706;44.072;924;35.049;33.235;26.866;0.000;0.000;0.012;100;0;20318.000;;;;;0.817;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;150000;1.000 +"CZE";203;"Czech Republic";0.884;0.578;2.845;0.252;4.154;7727;49.739;15.334;88.653;0.000;0.000;0.426;0;0;15373.230;;;9155.582;;0.793;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1801067;100.000 +"DEU";276;"Germany";0.597;0.405;1.906;0.168;3.001;34877;51.110;10.392;61.338;0.000;0.000;0.246;19.7358;0;25481.430;3880.887;12040.607;18943.516;11932.706;1.710;0;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;6500000;97.600 +"DJI";262;"Djibouti";2.432;0.804;6.416;0.627;39.024;2318;11.735;42.580;0.000;0.000;0.000;0.038;100;0;1881.967;1499.582;2065.445;1102.543;1647.355;-0.577;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;4.176;14.408;2.682;2.351;0.064;34822; +"DMA";212;"Dominica";0.003;0.008;0.005;0.001;0.000;75;15.427;-61.356;36.405;0.000;100.000;0.003;100;0;5931.715;;;;;0.495;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;824; +"DNK";208;"Denmark";0.189;0.191;0.611;0.054;0.000;4243;55.987;10.027;56.165;0.000;0.000;0.019;100;0;28750.610;6943.104;13621.125;22975.162;13991.603;1.837;0;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0.000;;;;;600000;99.200 +"DOM";214;"Dominican Republic";1.641;0.519;4.495;0.484;26.179;4838;18.895;-70.493;39.479;0.000;87.817;0.029;100;0;6410.803;1026.788;2111.321;3649.014;1989.486;-0.520;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;39145;52.000 +"DZA";12;"Algeria";0.510;1.368;1.445;0.140;4.885;238174;28.168;2.647;9.590;23.277;0.000;0.752;4.17952;0;5417.910;1364.740;2521.953;2864.551;2389.185;-1.153;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;1;0;0;0;0;61834.148;6.559;14.912;0.985;3.654;1588836;0.000 +"ECU";218;"Ecuador";1.278;0.766;3.446;0.405;20.090;27684;-1.434;-78.770;44.308;0.000;73.165;0.157;37.3544;0;3373.415;1862.933;3459.407;3203.386;3209.836;-0.587;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;553265;31.976 +"EGY";818;"Egypt";0.723;0.274;2.001;0.186;5.764;99545;26.562;29.782;0.007;16.498;0.000;0.325;22.7899;0;3598.329;909.903;1420.783;2936.674;1711.680;-0.030;1;0;0;0;0;0;0;1;0;0;0;0;1;0;0;0;1;0;0;0;0;1491.701;16.393;4.667;0.430;1.113;4182558;0.000 +"ERI";232;"Eritrea";2.481;1.911;6.663;0.658;37.141;10100;15.365;38.848;20.146;1.764;0.000;0.104;56.1576;0;911.884;;;;;-0.307;1;0;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;1;0;1.33e+05;12.967;3.146;1.814;0.070;101512;1.900 +"ESH";732;"Western Sahara";0.203;0.301;0.565;0.057;0.202;26600;24.674;-13.138;0.000;9.019;0.000;0.148;33.6288;0;;;;;;;1;0;0;0;0;0;;;;;;0;0;0;0;0;1;0;0;0;0;0.000;4.932;12.435;2.049;5.215;2439; +"ESP";724;"Spain";1.689;0.810;5.062;0.472;23.372;49900;40.231;-3.644;64.134;0.000;0.000;0.131;42.9055;0;21764.830;2188.970;8346.302;15621.720;7811.794;1.333;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;5500000;99.240 +"EST";233;"Estonia";0.123;0.188;0.414;0.035;0.000;4239;58.673;25.549;62.517;0.000;0.000;0.135;37.0373;0;9762.760;;;11710.010;;0.527;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;69282;100.000 +"ETH";231;"Ethiopia";1.570;1.725;4.193;0.443;20.128;100000;8.622;39.636;46.128;1.008;29.455;0.466;2.26331;0;635.794;;;;;-0.823;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;1;0;1.31e+06;12.589;2.706;2.543;0.510;1639589;0.000 +"FIN";246;"Finland";0.328;0.268;1.202;0.092;0.137;30459;64.481;26.240;2.097;0.000;0.000;0.324;8.79128;0;25553.880;4253.287;11441.303;19770.363;11059.542;1.897;0;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0.000;;;;;100000;100.000 +"FJI";242;"Fiji";1.396;0.582;3.723;0.421;14.011;1827;-17.447;161.988;98.293;0.000;100.000;0.009;100;0;4949.898;;;;;-0.093;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;139322;2.200 +"FLK";238;"Falkland Islands (Malvinas)";0.264;0.214;0.859;0.083;0.786;1217;-51.745;-59.382;0.000;0.000;0.000;0.005;100;0;;;;;;;0;0;0;0;0;1;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"FRA";250;"France";1.098;0.496;3.406;0.313;12.070;55010;46.560;2.551;59.939;0.000;0.000;0.172;34.6184;0;25698.010;5271.312;13251.077;21025.375;12907.095;1.397;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;11000000;93.400 +"FRO";234;"Faeroe Islands";2.253;1.309;8.215;0.665;39.927;140;62.073;-6.885;0.000;0.000;0.000;0.001;100;0;;;;;;;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;10000; +"FSM";583;"Micronesia; Federated States of";1.353;0.919;3.610;0.423;17.095;70;6.674;157.754;32.857;0.000;100.000;0.000;100;0;;;;;;-0.365;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;15427; +"GAB";266;"Gabon";0.218;0.582;0.583;0.070;0.434;25767;-0.623;11.784;11.978;0.000;100.000;0.195;28.1246;5200;6118.662;3108.377;9405.868;3847.075;5359.929;-0.553;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;27402.172;5.531;8.367;3.703;3.529;138320;1.000 +"GBR";826;"United Kingdom of Great Britain and Northern Ireland";0.568;0.210;1.878;0.175;3.643;24269;54.150;-2.901;48.239;0.000;0.000;0.034;96.3607;0;26332.050;6939.374;11847.087;20352.869;12332.872;1.783;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;3306643;94.600 +"GEO";268;"Georgia";3.659;0.859;11.258;1.067;59.170;6949;42.179;43.513;34.021;0.000;0.000;0.181;33.1835;0;1880.450;;;3243.627;;-1.033;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;275547;3.000 +"GHA";288;"Ghana";0.228;0.250;0.601;0.071;0.371;22754;7.963;-1.208;65.738;0.000;100.000;0.283;19.3048;13275;1892.808;1121.794;1246.881;1269.883;1217.556;-0.297;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;1.61e+06;4.773;9.300;3.174;4.332;912300;0.000 +"GIB";292;"Gibraltar";7.811;5.542;21.453;1.728;100.000;1;36.139;-5.348;0.000;0.000;0.000;0.000;100;0;;;;;;;0;0;1;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"GIN";324;"Guinea";0.740;1.030;1.969;0.213;3.952;24572;10.435;-10.939;17.761;0.000;100.000;0.263;14.9423;4864;1975.794;303.321;512.136;571.719;469.724;-1.320;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;3.50e+05;3.720;10.269;3.245;5.259;455699;0.000 +"GLP";312;"Guadeloupe";1.188;0.533;3.230;0.359;21.296;169;16.280;-61.601;76.500;0.000;100.000;0.003;100;0;;;;;;;0;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;3387; +"GMB";270;"Gambia";0.353;0.384;0.915;0.091;0.000;1000;13.447;-15.388;81.699;0.000;89.355;0.053;77.3706;0;1728.198;607.365;1049.606;894.813;866.362;0.100;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;21730.895;3.889;10.793;3.172;5.638;51104;0.500 +"GNB";624;"Guinea-Bissau";0.491;0.534;1.302;0.123;0.098;2812;12.013;-14.987;43.253;0.000;100.000;0.045;87.3195;0;782.477;289.153;925.067;680.606;707.146;-1.650;1;0;0;0;0;0;0;1;0;0;0;0;0;0;1;0;0;0;1;0;0;1.81e+05;3.796;10.631;3.285;5.633;87833;3.000 +"GNQ";226;"Equatorial Guinea";0.559;1.405;1.449;0.177;5.540;2805;1.703;10.335;6.829;0.000;100.000;0.069;69.3531;0;15189.540;539.763;1294.001;7973.103;1623.250;-1.263;1;0;0;0;0;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;1;10.500;5.577;8.556;3.462;3.515;66516;5.750 +"GRC";300;"Greece";3.103;1.295;9.166;0.867;52.841;12890;39.043;22.989;48.588;0.000;0.000;0.029;96.2131;0;17391.740;1915.007;7721.514;12110.869;6959.675;0.810;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1118034;100.000 +"GRD";308;"Grenada";2.088;1.538;5.655;0.606;39.913;34;12.157;-61.654;67.646;0.000;100.000;0.001;100;0;7536.395;;;;;0.270;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;1237; +"GRL";304;"Greenland";0.410;0.914;1.548;0.131;4.252;217500;74.728;-41.345;0.000;0.000;0.000;0.867;3.50187;0;;;;;;;0;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;10000; +"GTM";320;"Guatemala";1.807;1.369;4.893;0.538;30.850;10843;15.697;-90.356;58.058;0.000;78.376;0.099;48.2159;0;3974.407;2084.894;3683.875;4096.941;3228.048;-0.897;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;243109;21.965 +"GUF";254;"French Guiana";0.205;0.254;0.546;0.065;0.109;8815;3.930;-53.233;18.394;0.000;100.000;0.125;43.0358;0;;;;;;0.990;0;0;0;0;0;1;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"GUM";316;"Guam";0.666;0.293;1.825;0.215;1.498;54;13.440;144.776;22.222;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"GUY";328;"Guyana";0.273;0.052;0.744;0.089;0.360;19685;4.794;-58.976;19.594;0.000;100.000;0.215;28.642;1023;4072.166;;;;;-0.230;0;0;0;0;0;1;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;;1.300 +"HKG";344;"Hong Kong Special Administrative Region of China";2.501;1.558;6.692;0.698;51.197;110;22.381;114.134;96.076;0.000;0.000;0.002;100;0;25795.830;2218.149;6990.537;23328.385;9882.841;1.037;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;42611;0.000 +"HND";340;"Honduras";2.150;1.207;5.824;0.631;39.971;11189;14.822;-86.600;55.945;0.000;94.636;0.077;66.5159;0;2506.231;1313.356;1731.909;1911.571;1690.379;-0.837;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;114924;46.000 +"HRV";191;"Croatia";1.267;0.678;3.842;0.366;17.588;5592;45.026;16.419;48.395;0.000;0.000;0.113;51.0571;0;9545.475;;;6438.607;;-0.203;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;530014;99.550 +"HTI";332;"Haiti";2.362;1.318;6.448;0.697;42.462;2756;18.936;-72.686;42.050;0.000;100.000;0.019;100;0;1798.406;1050.620;1034.517;796.162;1007.399;-1.463;0;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;51954;2.500 +"HUN";348;"Hungary";0.346;0.289;1.090;0.098;0.921;8962;47.166;19.418;65.095;0.000;0.000;0.467;0;0;13223.630;2479.958;5804.766;7132.268;5178.710;0.800;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1000000;99.300 +"IDN";360;"Indonesia";0.967;0.435;2.587;0.304;13.405;181157;-2.226;117.277;43.306;0.000;99.835;0.062;77.0687;287;3028.274;839.518;1507.126;3258.498;1752.640;-0.653;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0.000;;;;;6987225;0.000 +"IND";356;"India";1.013;0.237;2.842;0.295;12.824;297319;22.876;79.627;51.042;4.495;39.447;0.407;18.0434;489;2415.093;619.003;897.336;1885.008;1006.152;0.213;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;77226807;0.000 +"IOT";86;"British Indian Ocean Territory";0.018;0.016;0.037;0.006;0.000;8;-6.845;72.187;;0.000;100.000;0.000;100;0;;;;;;;0;1;0;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"IRL";372;"Ireland";0.513;0.280;1.676;0.158;2.864;6889;53.181;-8.153;59.095;0.000;0.000;0.035;95.8615;0;30532.310;3452.898;7316.275;21551.340;8281.263;1.643;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;193357;99.885 +"IRN";364;"Iran; Islamic Republic of";2.445;0.929;6.962;0.651;33.616;162855;32.560;54.305;21.824;0.543;0.000;0.461;11.4317;0;5826.672;1719.611;5862.488;4662.057;3593.365;-0.600;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;3741657;0.000 +"IRQ";368;"Iraq";0.670;0.360;1.919;0.175;5.572;43737;33.051;43.765;7.912;0.010;0.000;0.456;2.58288;0;;1363.606;4315.305;1221.224;2984.537;-1.507;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;1000000;0.000 +"ISL";352;"Iceland";1.472;0.557;5.318;0.435;20.729;10025;64.990;-18.594;3.403;9.086;0.000;0.040;93.2095;0;28929.430;;;;;1.753;0;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0.000;;;;;60000; +"ISR";376;"Israel";1.705;1.002;4.808;0.439;23.277;2164;31.353;34.967;27.477;0.709;0.000;0.052;90.3822;0;23857.940;2817.303;10147.871;16925.594;9250.910;1.070;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;229955;30.698 +"ITA";380;"Italy";2.458;0.755;7.506;0.711;38.884;29411;42.789;12.075;51.780;0.000;0.000;0.058;80.9226;0;24994.660;3501.900;10741.869;18773.570;11048.927;0.893;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;7000000;99.800 +"JAM";388;"Jamaica";1.788;0.934;4.837;0.528;24.278;1083;18.156;-77.311;66.970;0.000;100.000;0.012;100;0;3650.390;1326.785;3844.877;3598.210;3139.550;-0.377;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;22626;8.000 +"JOR";400;"Jordan";1.097;1.648;3.115;0.282;12.165;8824;31.250;36.788;15.479;15.332;0.000;0.189;16.2407;0;3846.694;1663.149;2582.962;4088.574;3248.945;0.390;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;86370;1.000 +"JPN";392;"Japan";2.132;0.463;6.275;0.604;37.173;36450;37.540;137.963;42.879;0.000;0.006;0.032;97.7372;0;26219.790;1920.721;11343.781;20742.387;11248.286;1.477;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;12500000;0.000 +"KAZ";398;"Kazakhstan";0.372;0.281;1.172;0.108;2.913;269970;48.180;67.313;9.877;9.747;0.000;2.206;0;0;4594.435;;;5648.025;;-0.877;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1253389;41.900 +"KEN";404;"Kenya";0.669;0.559;1.781;0.195;5.427;56914;0.534;37.861;33.657;11.629;51.028;0.409;9.38789;0;1018.731;650.601;941.848;1030.687;912.759;-1.050;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;0;86447.906;11.083;2.705;3.359;1.361;1322790;0.000 +"KGZ";417;"Kyrgyzstan";4.287;0.948;13.105;1.246;69.767;19180;41.464;74.556;12.534;0.000;0.000;1.918;0;0;1560.000;;;2167.491;;-0.740;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;325361;15.000 +"KHM";116;"Cambodia";0.540;0.146;1.421;0.154;6.094;17652;12.707;104.921;22.213;0.000;100.000;0.170;25.378;0;1859.063;481.977;579.707;1141.000;766.583;-1.013;0;1;0;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;1383162;0.000 +"KIR";296;"Kiribati";0.010;0.015;0.021;0.003;0.000;81;0.699;-46.958;45.679;0.000;100.000;0.000;100;0;;;;;;-0.145;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;10513; +"KNA";659;"Saint Kitts and Nevis";0.006;0.010;0.012;0.003;0.000;26;17.274;-62.704;100.000;0.000;100.000;0.001;100;0;11224.700;;;;;0.060;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;743; +"KOR";410;"Republic of Korea";1.960;0.747;5.807;0.546;33.976;9873;36.356;127.806;43.556;0.000;0.000;0.042;95.0484;0;16172.410;853.890;3161.702;14219.083;4725.635;0.717;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;2308243;0.000 +"KWT";414;"Kuwait";0.245;0.271;0.691;0.063;0.000;1782;29.354;47.613;0.000;0.000;0.000;0.040;98.6018;0;15958.920;28878.139;18161.664;10082.733;19359.766;0.770;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;42006;0.000 +"LAO";418;"Lao People's Democratic Republic";2.553;1.218;6.976;0.723;49.807;23080;18.495;103.774;12.068;0.000;54.794;0.267;6.8206;0;1569.901;612.943;783.584;1203.223;826.834;-1.150;0;1;0;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;348220;0.000 +"LBN";422;"Lebanon";4.197;2.170;12.042;1.103;71.642;1023;33.922;35.897;72.415;0.000;0.000;0.027;100;0;4216.305;2428.740;3461.337;3405.220;2881.809;-0.177;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;313584;0.500 +"LBR";430;"Liberia";0.263;0.259;0.695;0.083;0.459;9632;6.448;-9.307;15.820;0.000;100.000;0.096;54.5897;9901;;1054.759;1247.827;990.059;1195.255;-2.113;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;1;0;0;6789.634;3.776;9.777;3.595;5.227;143361;0.000 +"LBY";434;"Libyan Arab Jamahiriya";0.403;0.337;1.124;0.105;1.535;175954;27.041;18.029;2.756;48.242;0.000;0.501;9.92269;0;;857.168;5515.242;2312.993;3978.577;-1.010;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;1;1;0;0;0;0;8847.930;8.422;16.775;0.610;2.151;500000;0.000 +"LCA";662;"Saint Lucia";2.147;1.351;5.841;0.590;35.476;61;13.894;-60.965;32.527;0.000;100.000;0.002;100;0;5620.647;;;;;0.060;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;1335; +"LIE";438;"Liechtenstein";5.328;2.927;17.180;1.554;76.379;16;47.145;9.554;0.000;0.000;0.000;0.305;0;0;;;;;;1.515;0;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"LKA";144;"Sri Lanka";0.650;0.446;1.712;0.197;7.786;6463;7.630;80.701;51.595;0.000;100.000;0.035;100;0;3625.534;1252.871;1540.745;3633.984;1891.942;-0.067;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;956352;0.000 +"LSO";426;"Lesotho";6.202;4.165;17.595;1.559;90.249;3035;-29.580;28.254;54.695;0.000;0.000;0.246;0;308;2122.544;355.366;714.936;1490.346;824.398;-0.083;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0.000;7.202;3.035;6.637;4.846;26096;0.000 +"LTU";440;"Lithuania";0.175;0.229;0.578;0.049;0.000;6268;55.336;23.905;62.064;0.000;0.000;0.256;13.8029;0;8767.231;;;6346.336;;0.330;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;161557;100.000 +"LUX";442;"Luxembourg";0.881;0.581;2.844;0.242;1.654;259;49.778;6.095;25.662;0.000;0.000;0.259;0;0;57792.090;;;;;1.767;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;26534;99.200 +"LVA";428;"Latvia";0.154;0.136;0.522;0.044;0.000;6205;56.854;24.931;77.568;0.000;0.000;0.265;15.7566;0;7903.728;;;7693.585;;0.177;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;122643;100.000 +"MAC";446;"Macao Special Administrative Region of China";0.732;0.527;1.921;0.185;4.168;3;22.169;113.555;0.000;0.000;0.000;0.000;100;0;18581.940;;;;;0.195;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0.000;;;;;13636; +"MAR";504;"Morocco";2.413;1.291;6.853;0.629;36.083;44630;31.882;-6.302;43.968;0.614;0.000;0.164;35.4198;0;3513.834;1455.361;1830.967;2657.562;1952.039;0.133;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;1;0;0;0;0;0.000;5.794;13.676;1.023;4.571;1586397;8.000 +"MCO";492;"Monaco";6.612;6.043;20.834;2.106;100.000;;43.753;7.422;0.000;0.000;0.000;0.000;100;0;;;;;;;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"MDA";498;"Republic of Moldova";0.799;0.573;2.527;0.222;0.403;3288;47.205;28.468;62.015;0.000;0.000;0.197;11.0077;0;1331.461;;;2127.236;;-0.317;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;147311;99.100 +"MDG";450;"Madagascar";1.169;0.738;3.185;0.328;12.672;58154;-19.379;46.700;50.804;0.000;65.224;0.087;61.0618;0;825.244;951.010;1126.290;705.899;966.595;-0.653;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;1.25e+05;9.686;0.904;5.732;3.454;544859;0.600 +"MDV";462;"Maldives";0.012;0.012;0.024;0.004;0.000;30;3.566;73.215;30.000;0.000;100.000;0.000;100;0;;;;;;0.350;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;; +"MEX";484;"Mexico";1.732;0.825;4.795;0.491;27.341;194395;23.941;-102.536;31.934;1.704;27.928;0.183;38.4165;0;9046.270;2365.019;5158.340;7274.678;4824.431;-0.473;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;4514402;30.000 +"MHL";584;"Marshall Islands";0.014;0.016;0.033;0.004;0.000;18;8.027;169.168;50.000;0.000;100.000;0.000;100;0;;;;;;-0.405;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;6267; +"MKD";807;"The former Yugoslav Republic of Macedonia";2.665;0.885;8.190;0.783;49.405;2543;41.600;21.701;52.895;0.000;0.000;0.135;14.0538;0;6059.698;;;3340.784;;-0.433;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;169275;96.310 +"MLI";466;"Mali";0.147;0.305;0.393;0.042;0.228;122019;17.355;-3.524;18.562;26.132;11.688;1.014;0;0;779.597;456.875;612.963;891.656;638.532;-0.527;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;8.42e+05;3.897;10.790;2.263;4.311;1063541;0.000 +"MLT";470;"Malta";1.527;1.171;4.292;0.381;14.699;32;35.925;14.407;100.000;0.000;0.000;0.002;100;0;18255.730;;;;;1.003;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;10000;99.500 +"MMR";104;"Myanmar";1.988;0.332;5.517;0.577;34.731;65755;21.123;96.514;25.529;0.000;50.245;0.287;30.3948;0;;395.686;662.868;1376.179;725.201;-1.300;0;1;0;0;0;0;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;3482202;0.000 +"MNG";496;"Mongolia";1.057;0.765;3.352;0.309;12.623;156650;46.836;103.070;44.883;1.490;0.000;1.694;0;0;1620.436;435.422;912.424;1084.652;891.187;0.000;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;578516;1.000 +"MNP";580;"Northern Mariana Islands";1.700;1.484;4.572;0.504;25.440;46;15.800;145.630;4.130;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"MOZ";508;"Mozambique";0.612;0.438;1.653;0.170;4.540;78638;-17.264;35.549;55.384;0.000;87.365;0.210;30.756;0;876.868;1133.420;1403.620;1364.891;1278.820;-0.850;1;0;0;0;0;0;0;1;0;0;0;0;0;0;1;0;0;1;0;0;0;6.26e+05;9.264;2.185;5.268;3.298;786003;0.000 +"MRT";478;"Mauritania";0.115;0.147;0.308;0.034;0.278;103070;20.264;-10.336;2.042;74.857;0.000;0.511;5.9946;0;1729.208;463.918;961.991;1016.920;856.331;-0.523;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;1.64e+05;4.424;11.914;2.255;4.973;221211;0.000 +"MSR";500;"Montserrat";3.395;2.824;9.256;1.027;69.921;10;16.736;-62.193;0.000;0.000;100.000;0.000;100;0;;;;;;;0;0;0;0;1;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;218; +"MTQ";474;"Martinique";1.206;0.659;3.311;0.378;11.619;106;14.649;-61.021;61.658;0.000;100.000;0.003;100;0;;;;;;1.255;0;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;3580; +"MUS";480;"Mauritius";0.949;0.788;2.436;0.283;9.101;203;-20.131;57.879;52.217;0.000;100.000;0.006;100;0;9622.512;2489.759;3969.069;10652.315;4876.056;0.793;1;0;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;1;0;0.000;10.310;0.032;6.274;3.884;0;16.000 +"MWI";454;"Malawi";1.027;0.821;2.759;0.300;10.542;9408;-13.216;34.301;32.281;0.000;39.224;0.496;0;0;586.252;324.056;591.720;656.235;507.871;-0.530;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;1.25e+05;9.267;2.183;4.821;2.922;348220;0.000 +"MYS";458;"Malaysia";1.009;0.374;2.684;0.316;12.870;32855;3.791;109.709;49.196;0.000;100.000;0.057;83.2625;0;8926.452;1559.265;2648.422;8165.590;3467.013;0.517;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;296322;0.000 +"MYT";175;"Mayotte";2.673;2.483;5.809;0.720;42.602;37.4;-12.820;45.143;50.771;0.000;100.000;0.002;100;0;;;;;;;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;1;0;0.000;10.108;1.551;4.995;2.722;0; +"NAM";516;"Namibia";0.913;0.423;2.489;0.235;9.723;82329;-22.140;17.219;25.173;13.861;0.000;0.305;17.6842;55728;6057.856;2159.705;3333.925;3637.062;3181.151;0.293;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;190.351;5.683;5.792;5.981;4.685;93798;10.850 +"NCL";540;"New Caledonia";1.586;0.621;4.338;0.492;24.913;1828;-21.299;165.663;54.444;0.000;94.292;0.008;100;0;22140.000;;;;;-0.860;0;0;0;1;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;31251; +"NER";562;"Niger";0.178;0.222;0.481;0.051;0.245;126670;17.424;9.401;8.236;39.210;0.032;1.186;0;0;703.141;617.031;658.875;486.397;683.153;-0.837;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;19911.727;5.159;9.223;1.768;2.954;705385;0.000 +"NFK";574;"Norfolk Island";1.154;0.812;3.266;0.351;12.248;4;-29.027;167.956;;0.000;0.000;0.000;100;0;;;;;;;0;0;0;1;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"NGA";566;"Nigeria";0.312;0.229;0.833;0.093;1.563;91077;9.585;8.092;56.263;0.000;73.440;0.491;9.17532;0;882.590;752.681;1416.623;1251.178;1109.575;-1.290;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;2.02e+06;5.224;9.151;2.642;3.314;5909180;0.000 +"NIC";558;"Nicaragua";0.992;0.768;2.671;0.286;11.923;12140;12.841;-85.033;33.249;0.000;100.000;0.077;65.2217;0;3277.640;1615.788;3128.881;1520.552;2131.895;-0.657;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;100069;51.000 +"NIU";570;"Niue";0.177;0.205;0.472;0.055;0.000;26;-19.050;-169.860;26.923;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"NLD";528;"Netherlands";0.037;0.042;0.108;0.012;0.000;3388;52.250;5.621;41.165;0.000;0.000;0.042;91.6192;0;28610.120;5996.128;13373.628;22161.445;12961.165;1.790;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;600000;95.950 +"NOR";578;"Norway";2.409;1.245;8.516;0.692;37.013;30428;64.467;14.082;0.073;0.000;0.000;0.053;79.6415;0;34207.820;5429.510;12271.317;25101.949;13253.486;1.950;0;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0.000;;;;;400000;100.000 +"NPL";524;"Nepal";5.043;1.260;14.458;1.493;75.265;14300;28.264;83.931;41.622;0.000;0.000;0.697;0;0;1322.873;496.334;641.508;999.145;691.527;-0.177;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1852093;0.000 +"NRU";520;"Nauru";0.311;0.527;0.781;0.089;0.000;2;-0.641;167.801;;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;; +"NZL";554;"New Zealand";2.038;0.451;6.233;0.606;31.490;26771;-41.806;171.478;44.643;0.000;0.000;0.039;95.685;0;19614.940;8455.649;12488.613;16170.117;11982.210;1.870;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;15000;80.600 +"OMN";512;"Oman";1.109;0.896;3.012;0.283;12.216;30950;20.595;56.104;0.000;19.027;0.000;0.113;47.7134;0;12729.710;623.095;4267.115;7115.765;3880.417;0.843;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;200000;0.000 +"PAK";586;"Pakistan";1.949;0.341;5.665;0.559;25.078;77088;29.970;69.395;6.988;11.184;0.000;0.589;11.0758;0;1925.391;643.020;977.667;1815.145;1110.924;-0.727;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;7669487;0.000 +"PAN";591;"Panama";1.540;0.546;4.128;0.457;22.956;7443;8.513;-80.109;42.843;0.000;100.000;0.018;100;0;6164.348;1915.962;4198.462;5675.752;3954.735;-0.143;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;66462;45.200 +"PCN";612;"Pitcairn";0.404;0.790;1.067;0.104;7.424;4.7;-24.431;-128.445;;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"PER";604;"Peru";1.347;0.991;3.653;0.427;20.010;128000;-9.173;-74.361;21.743;0.540;55.788;0.325;16.7165;0;4722.525;2307.632;4325.977;3832.720;3502.972;-0.633;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;1888175;28.043 +"PHL";608;"Philippines";2.028;0.574;5.428;0.583;34.183;29817;11.739;122.868;80.137;0.000;98.973;0.020;100;0;4027.548;1070.263;2033.298;2421.199;1893.012;-0.237;0;1;0;0;0;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;362390;0.000 +"PLW";585;"Palau";0.475;0.380;1.293;0.148;0.000;46;7.801;135.160;13.043;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"PNG";598;"Papua New Guinea";1.589;0.980;4.217;0.491;25.222;45286;-6.476;145.252;46.833;0.000;100.000;0.071;71.2843;0;2325.738;;;;;-0.680;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;866855;0.000 +"POL";616;"Poland";0.297;0.259;0.951;0.084;1.200;30436;52.124;19.401;48.410;0.000;0.000;0.283;14.8703;0;10401.360;2446.893;5807.870;7308.837;4706.412;0.643;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;2750000;100.000 +"PRI";630;"Puerto Rico";1.447;0.699;3.928;0.416;19.250;887;18.225;-66.464;59.186;0.000;100.000;0.012;100;0;22242.230;2143.823;6946.214;14105.683;7177.506;0.917;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;35772;66.300 +"PRK";408;"Democratic People's Republic of Korea";2.521;0.884;7.681;0.710;52.428;12041;40.143;127.174;24.281;0.000;0.000;0.064;80.0171;0;;853.857;2840.967;1169.178;1933.106;-0.977;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1191757;0.000 +"PRT";620;"Portugal";1.304;0.967;3.937;0.369;15.522;9150;39.593;-8.531;34.264;0.000;0.000;0.072;70.0621;0;18255.280;2086.406;6517.205;13813.426;6861.499;1.167;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;900000;98.270 +"PRY";600;"Paraguay";0.245;0.479;0.681;0.067;0.224;39730;-23.245;-58.393;28.751;0.000;57.034;0.847;0;0;4553.069;1584.366;2220.024;3013.877;2405.144;-0.817;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;174110;52.850 +"PSE";275;"Occupied Palestinian Territory";2.775;1.754;7.927;0.706;54.906;602;31.914;35.207;62.369;0.000;0.000;0.046;100;0;;949.299;2329.271;5124.096;2596.531;-0.075;0;1;0;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;183675; +"PYF";258;"French Polynesia";2.072;1.389;5.637;0.645;40.290;366;-15.346;-145.232;6.284;0.000;96.819;0.001;100;0;24538.310;;;;;;0;0;0;1;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;24449; +"QAT";634;"Qatar";0.181;0.156;0.493;0.047;0.000;1100;25.293;51.199;0.000;1.782;0.000;0.015;100;0;;30387.131;35198.262;8290.317;23511.402;0.433;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;6897;0.900 +"REU";638;"Reunion";3.873;0.962;10.657;1.208;67.425;250;-21.121;55.540;16.400;0.000;58.336;0.008;100;0;;1989.306;3821.115;4588.492;3412.181;;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;1;0;0.000;10.090;0.208;6.256;3.879;0; +"ROU";642;"Romania";1.267;0.555;4.005;0.357;16.710;22971;45.843;24.986;69.642;0.000;0.000;0.367;6.7651;0;5889.324;1181.952;3761.370;3005.540;2935.706;-0.150;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1250000;99.430 +"RUS";643;"Russian Federation";0.940;0.355;3.278;0.267;11.412;1638134;61.990;96.711;17.718;0.056;0.000;1.841;2.76605;205550;7095.689;;;5276.657;;-0.873;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;6481410;99.500 +"RWA";646;"Rwanda";3.309;3.178;8.748;0.855;64.627;2467;-2.003;29.923;42.970;0.000;68.880;0.946;0;0;1039.172;546.902;805.649;818.696;739.706;-1.400;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;1;0;0;0;1;0;0.000;10.754;2.623;3.568;2.102;211005;0.000 +"SAU";682;"Saudi Arabia";0.914;0.688;2.514;0.231;8.891;214969;24.097;44.562;0.000;37.258;0.000;0.304;13.6641;0;12374.110;2230.766;11787.042;7647.705;7612.613;0.343;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;2000000;0.000 +"SCG";891;"Serbia and Montenegro";1.673;0.711;5.144;0.480;27.128;10200;43.866;20.599;67.976;0.000;0.000;0.236;11.654;0;;;;2313.608;;-1.160;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;981591;98.680 +"SDN";736;"Sudan";0.442;0.292;1.186;0.116;2.891;237600;13.887;30.090;19.800;2.160;20.679;0.917;2.92113;0;1682.674;820.837;910.048;991.254;903.639;-1.547;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;0;8.64e+05;15.253;3.528;1.827;0.983;3776350;0.000 +"SEN";686;"Senegal";0.244;0.246;0.647;0.065;0.168;19253;14.361;-14.474;60.496;0.000;34.999;0.165;32.4713;0;1435.082;1258.898;1396.079;1358.175;1348.293;-0.207;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;3.77e+05;3.898;10.791;3.035;5.518;442565;1.300 +"SGP";702;"Singapore";0.016;0.004;0.036;0.005;0.000;67;1.361;103.820;3.488;0.000;100.000;0.003;100;0;23611.610;2218.961;6430.213;22518.170;8339.448;1.577;0;1;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;49570;0.500 +"SHN";654;"Saint Helena";3.863;2.368;11.182;1.205;72.252;39;-25.656;-10.466;10.256;0.000;0.000;0.001;100;0;;;;;;;1;0;0;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;1;0.000;3.541;7.512;5.804;6.070;0; +"SJM";744;"Svalbard and Jan Mayen Islands";1.623;1.278;6.575;0.464;24.247;;78.845;18.310;;0.000;0.000;0.276;13.7615;0;;;;;;;0;0;1;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"SLB";90;"Solomon Islands";1.540;1.109;4.111;0.476;21.213;2799;-8.895;159.601;80.002;0.000;100.000;0.003;100;0;1862.470;;;;;-1.195;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;43289; +"SLE";694;"Sierra Leone";0.498;0.574;1.317;0.144;1.943;7162;8.561;-11.791;7.546;0.000;100.000;0.100;51.5546;16819;466.647;656.268;1125.709;409.872;904.314;-1.290;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;69606.719;3.705;10.188;3.474;5.410;338261;0.000 +"SLV";222;"El Salvador";1.750;1.000;4.746;0.518;26.108;2072;13.724;-88.869;65.938;0.000;100.000;0.039;99.6575;0;4594.274;1488.813;2503.697;2715.551;2147.779;-0.743;0;0;0;0;1;0;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;150732;50.000 +"SMR";674;"San Marino";1.802;1.925;5.497;0.522;14.144;6;43.944;12.459;0.000;0.000;0.000;0.025;100;0;;;;;;;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"SOM";706;"Somalia";0.650;0.450;1.711;0.170;6.914;62734;6.061;45.867;7.535;3.358;0.000;0.126;44.7664;0;;1056.633;1201.617;863.075;1117.015;-2.203;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;1;0;0;0;1;0;32276.752;12.058;2.358;3.090;0.695;661618;0.000 +"SPM";666;"Saint Pierre and Miquelon";0.833;1.054;2.467;0.247;2.892;23;46.936;-56.323;0.000;0.000;0.000;0.001;100;0;;;;;;;0;0;0;0;1;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"STP";678;"Sao Tome and Principe";2.347;0.876;5.991;0.710;42.127;96;0.446;6.727;88.013;0.000;100.000;0.004;100;0;;820.358;1421.447;1225.896;1255.841;-0.205;1;0;0;0;0;0;0;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0.000;5.197;8.474;3.670;3.932;0; +"SUR";740;"Suriname";0.307;0.034;0.815;0.096;0.743;15600;4.133;-55.911;22.425;0.000;100.000;0.191;25.757;0;;;;;;-0.323;0;0;0;0;0;1;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0.000;;;;;; +"SVK";703;"Slovakia";1.560;0.672;5.043;0.442;23.419;4810;48.707;19.487;60.924;0.000;0.000;0.554;0;0;11303.750;;;8219.698;;0.263;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;698933;99.610 +"SVN";705;"Slovenia";2.496;0.746;7.713;0.711;39.108;2014;46.112;14.823;67.604;0.000;0.000;0.091;61.6056;0;16873.330;;;12876.633;;0.973;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;202779;100.000 +"SWE";752;"Sweden";0.715;0.343;2.530;0.207;3.868;41033;62.777;16.759;15.853;0.000;0.000;0.223;21.2438;0;25899.880;6739.231;14183.347;20709.986;13259.333;1.813;0;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0.000;;;;;800000;99.300 +"SWZ";748;"Swaziland";3.063;2.301;8.574;0.775;54.481;1720;-26.565;31.501;54.413;0.000;2.876;0.113;36.2172;426;4681.445;721.089;2461.908;2630.322;1902.181;-0.160;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0.000;8.291;2.622;6.295;4.423;9707;2.800 +"SYC";690;"Seychelles";4.885;1.802;11.129;1.278;54.101;46;-6.723;51.924;13.043;0.000;100.000;0.000;100;0;17957.470;1912.258;3250.874;6353.528;3625.007;0.580;1;0;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;1;0;0.000;11.457;1.742;4.635;2.253;0; +"SYR";760;"Syrian Arab Republic";0.756;0.741;2.174;0.198;6.630;18378;35.014;38.498;52.909;3.445;0.000;0.244;16.7091;0;3242.195;2408.502;5570.152;7368.301;4961.027;-0.367;0;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;1306601;0.000 +"TCA";796;"Turks and Caicos Islands";0.007;0.010;0.013;0.003;0.000;43;21.750;-71.856;0.000;0.000;100.000;0.001;100;0;;;;;;;0;0;0;0;1;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"TCD";148;"Chad";0.419;0.197;1.135;0.112;3.605;125920;15.365;18.667;19.262;21.720;13.413;1.254;0;0;821.150;475.502;550.500;428.787;472.883;-0.920;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;5.29e+05;5.581;8.876;1.879;2.026;776187;0.000 +"TGO";768;"Togo";0.280;0.247;0.745;0.088;0.981;5439;8.528;0.977;56.646;0.000;100.000;0.263;16.778;0;1436.855;573.994;1055.553;614.222;833.230;-0.893;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;2.90e+05;4.926;9.258;3.009;4.085;231251;0.000 +"THA";764;"Thailand";1.051;0.189;2.826;0.302;16.408;51089;15.107;101.018;20.144;0.000;99.546;0.193;29.3876;0;6279.510;817.049;1958.720;6397.871;2729.121;0.477;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1741101;0.000 +"TJK";762;"Tajikistan";5.301;1.033;15.976;1.540;75.473;13996;38.527;71.038;17.449;0.025;0.000;1.505;0;0;785.469;;;883.162;;-1.610;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;286375;3.900 +"TKL";772;"Tokelau";0.000;0.000;0.000;0.000;0.000;1;-9.088;-171.830;;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"TKM";795;"Turkmenistan";0.284;0.248;0.834;0.082;1.426;46993;39.194;59.178;3.970;55.087;0.000;1.286;0;0;3667.555;;;2324.556;;-1.180;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;226444;5.500 +"TLS";626;"Timor-Leste";1.850;1.286;5.001;0.584;28.298;1487;-8.827;125.858;64.979;0.000;100.000;0.013;100;0;;;;;;;0;1;0;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;36325;0.000 +"TON";776;"Tonga";0.773;0.070;1.992;0.224;9.737;72;-19.859;-174.847;100.000;0.000;100.000;0.000;100;0;6568.724;;;;;-0.380;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;19021; +"TTO";780;"Trinidad and Tobago";0.603;0.521;1.611;0.184;5.099;513;10.469;-61.257;50.384;0.000;100.000;0.008;100;0;8969.766;3674.051;9117.805;13681.761;8591.538;0.420;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;10258;7.100 +"TUN";788;"Tunisia";0.726;0.585;2.079;0.198;7.434;15536;34.120;9.579;31.727;20.664;0.000;0.114;48.8258;0;6251.551;1114.596;2446.059;4552.262;2441.640;-0.083;1;0;0;0;0;0;0;1;0;0;0;0;0;1;0;0;1;0;0;0;0;0.000;7.480;15.833;0.310;3.205;836512;0.000 +"TUR";792;"Turkey";2.620;1.192;7.773;0.732;40.909;76963;39.061;35.174;65.295;0.000;0.000;0.152;38.9877;0;6510.354;1622.933;3894.789;6609.014;3821.776;-0.040;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;6438306;10.000 +"TUV";798;"Tuvalu";0.025;0.020;0.055;0.008;0.000;3;-7.414;178.052;66.667;0.000;100.000;0.000;100;0;;;;;;1.690;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;; +"TWN";158;"Taiwan";3.490;0.429;9.785;1.032;56.543;3615;23.752;120.953;9.843;0.000;8.846;0.023;100;0;;924.393;3958.396;16858.584;5906.895;0.867;0;1;0;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;174110;0.000 +"TZA";834;"United Republic of Tanzania";0.677;0.541;1.814;0.201;5.346;88580;-6.266;34.826;39.711;0.000;88.294;0.420;10.2759;9035;521.827;423.714;600.268;535.125;527.040;-0.430;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;0;5.35e+05;10.595;2.558;4.056;2.187;1496403;0.000 +"UGA";800;"Uganda";0.913;0.779;2.424;0.251;8.765;19710;1.282;32.388;13.095;0.020;97.783;0.909;0;0;1243.514;686.854;784.287;796.523;699.696;-0.700;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;1;0;4553.603;10.996;2.699;3.204;1.650;1322790;0.000 +"UKR";804;"Ukraine";0.416;0.359;1.317;0.117;1.988;57935;49.009;31.411;69.003;0.000;0.000;0.365;13.6144;0;4108.690;;;2745.334;;-0.823;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;2347003;100.000 +"UMI";581;"United States Minor Outlying Islands";0.005;0.035;0.011;0.001;0.000;;7.141;-153.655;;0.000;100.000;0.000;100;0;;;;;;;0;1;0;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"URY";858;"Uruguay";0.435;0.391;1.283;0.114;0.136;17502;-32.802;-56.013;68.979;0.000;0.000;0.142;37.4727;0;8781.518;4659.398;5421.178;7883.267;5841.658;0.550;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;;91.890 +"USA";840;"United States of America";1.073;0.333;3.384;0.304;14.317;916192;45.718;-112.982;41.600;0.278;0.358;0.677;13.1656;0;33970.170;9561.348;16283.633;28448.850;17349.756;1.697;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;783496;76.020 +"UZB";860;"Uzbekistan";0.526;0.243;1.589;0.154;5.782;42540;41.633;63.341;11.720;32.152;0.000;1.645;0;0;1515.708;;;3478.961;;-1.023;0;1;0;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;1180650;7.500 +"VAT";336;"Holy See";0.438;0.428;1.162;0.126;0.000;;41.904;12.451;100.000;0.000;0.000;0.020;100;0;;;;;;;0;0;1;0;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"VCT";670;"Saint Vincent and the Grenadines";3.071;1.878;8.401;0.892;61.286;39;13.185;-61.205;38.818;0.000;100.000;0.001;100;0;5334.509;;;;;0.060;0;0;0;0;1;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;1081; +"VEN";862;"Venezuela (Bolivarian Republic of)";0.634;0.594;1.716;0.202;5.994;88205;7.132;-66.153;21.567;0.000;96.752;0.306;25.2528;5124;5685.120;7461.959;10471.647;8414.729;9366.497;-0.730;0;0;0;0;0;1;0;1;0;0;0;1;0;0;0;0;0;0;0;0;0;0.000;;;;;377635;54.500 +"VGB";92;"British Virgin Islands";1.257;1.873;3.131;0.340;19.147;15;18.511;-64.518;100.000;0.000;100.000;0.000;100;0;;;;;;;0;0;0;0;1;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;120; +"VIR";850;"United States Virgin Islands";1.404;1.268;3.652;0.395;17.088;35;17.985;-64.805;100.000;0.000;100.000;0.001;100;0;;;;;;;0;0;0;0;1;0;1;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0.000;;;;;432; +"VNM";704;"Viet Nam";2.054;0.439;5.603;0.583;36.775;31106;16.643;106.306;12.150;0.000;56.535;0.112;57.8169;0;2011.743;658.076;709.929;1808.773;932.382;-0.553;0;1;0;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0.000;;;;;1665106;0.000 +"VUT";548;"Vanuatu";1.729;1.041;4.709;0.545;24.993;1219;-16.196;167.703;79.892;0.000;100.000;0.002;100;0;3172.140;;;;;-0.455;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;22994; +"WLF";876;"Wallis and Futuna Islands";1.306;0.977;3.505;0.400;24.238;14;-13.829;-177.194;42.857;0.000;100.000;0.000;100;0;;;;;;;0;0;0;1;0;0;;;;;;0;0;0;0;0;0;0;0;0;0;0.000;;;;;; +"WSM";882;"Samoa";1.677;0.968;4.644;0.549;22.244;283;-13.738;-172.168;100.000;0.000;100.000;0.003;100;0;4860.269;;;;;0.360;0;0;0;1;0;0;1;0;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;33072; +"YEM";887;"Yemen";2.323;2.197;6.155;0.591;33.060;52797;15.863;47.580;0.000;10.750;0.000;0.148;38.1163;0;787.749;911.231;1783.548;2619.284;1703.219;-1.127;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;0;0;0;0;0;0.000;;;;;2250000;0.000 +"ZAF";710;"South Africa";1.761;1.318;4.942;0.450;23.957;121447;-29.004;25.094;27.647;4.386;0.179;0.306;18.9404;144785;9419.122;2534.946;4270.851;3978.219;3667.399;0.207;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;2030.663;6.766;3.457;6.584;4.895;486527;18.000 +"ZMB";894;"Zambia";0.533;0.506;1.422;0.145;2.455;74339;-13.458;27.794;23.114;0.000;17.132;0.900;0;0;774.010;660.910;1040.744;645.375;863.642;-0.587;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;27957.102;9.027;2.389;4.849;3.253;348220;1.000 +"ZWE";716;"Zimbabwe";1.194;1.106;3.232;0.306;13.837;38685;-19.000;29.869;54.877;0.000;8.401;0.499;0;898;2499.215;700.979;1401.811;1327.850;1163.542;-0.813;1;0;0;0;0;0;1;0;0;0;0;0;1;0;0;0;0;1;0;0;0;1088.177;9.027;2.389;5.454;3.696;174110;1.000 diff --git a/Rethinking_2/Data/tulips.csv b/Rethinking_2/Data/tulips.csv new file mode 100755 index 0000000..ac34b60 --- /dev/null +++ b/Rethinking_2/Data/tulips.csv @@ -0,0 +1,28 @@ +"bed";"water";"shade";"blooms" +a;1;1;0 +a;1;2;0 +a;1;3;111.04 +a;2;1;183.47 +a;2;2;59.16 +a;2;3;76.75 +a;3;1;224.97 +a;3;2;83.77 +a;3;3;134.95 +b;1;1;80.1 +b;1;2;85.95 +b;1;3;19.87 +b;2;1;213.13 +b;2;2;124.99 +b;2;3;65.48 +b;3;1;361.66 +b;3;2;197.13 +b;3;3;134.93 +c;1;1;10.02 +c;1;2;47.69 +c;1;3;106.75 +c;2;1;246 +c;2;2;135.92 +c;2;3;90.66 +c;3;1;304.52 +c;3;2;249.33 +c;3;3;134.59 From 30153a4d750c693734352dd403591386f3ec811d Mon Sep 17 00:00:00 2001 From: Oscar Date: Tue, 19 May 2020 01:00:22 +0100 Subject: [PATCH 14/15] remove unneeded data --- Rethinking_2/Data/Primates301.csv | 302 ------------------------------ Rethinking_2/Data/cars.csv | 51 ----- 2 files changed, 353 deletions(-) delete mode 100644 Rethinking_2/Data/Primates301.csv delete mode 100644 Rethinking_2/Data/cars.csv diff --git a/Rethinking_2/Data/Primates301.csv b/Rethinking_2/Data/Primates301.csv deleted file mode 100644 index 6a3168f..0000000 --- a/Rethinking_2/Data/Primates301.csv +++ /dev/null @@ -1,302 +0,0 @@ -"name";"genus";"species";"subspecies";"spp_id";"genus_id";"social_learning";"research_effort";"brain";"body";"group_size";"gestation";"weaning";"longevity";"sex_maturity";"maternal_investment" -"Allenopithecus_nigroviridis";"Allenopithecus";"nigroviridis";NA;1;1;0;6;58.02;4655;40;NA;106.15;276;NA;NA -"Allocebus_trichotis";"Allocebus";"trichotis";NA;2;2;0;6;NA;78.09;1;NA;NA;NA;NA;NA -"Alouatta_belzebul";"Alouatta";"belzebul";NA;3;3;0;15;52.84;6395;7.4;NA;NA;NA;NA;NA -"Alouatta_caraya";"Alouatta";"caraya";NA;4;3;0;45;52.63;5383;8.9;185.92;323.16;243.6;1276.72;509.08 -"Alouatta_guariba";"Alouatta";"guariba";NA;5;3;0;37;51.7;5175;7.4;NA;NA;NA;NA;NA -"Alouatta_palliata";"Alouatta";"palliata";NA;6;3;3;79;49.88;6250;13.1;185.42;495.6;300;1578.42;681.02 -"Alouatta_pigra";"Alouatta";"pigra";NA;7;3;0;25;51.13;8915;5.5;185.92;NA;240;NA;NA -"Alouatta_sara";"Alouatta";"sara";NA;8;3;0;4;59.08;6611.04;NA;NA;NA;NA;NA;NA -"Alouatta_seniculus";"Alouatta";"seniculus";NA;9;3;0;82;55.22;5950;7.9;189.9;370.04;300;1690.22;559.94 -"Aotus_azarai";"Aotus";"azarai";NA;10;4;0;22;20.67;1205;4.1;NA;229.69;NA;NA;NA -"Aotus_azarai_boliviensis";"Aotus";"azarai";"boliviensis";11;4;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Aotus_brumbacki";"Aotus";"brumbacki";NA;12;4;0;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Aotus_infulatus";"Aotus";"infulatus";NA;13;4;0;6;NA;NA;NA;NA;NA;NA;NA;NA -"Aotus_lemurinus";"Aotus";"lemurinus";NA;14;4;0;16;16.3;734;NA;132.23;74.57;216;755.15;206.8 -"Aotus_lemurinus_griseimembra";"Aotus";"lemurinus";"griseimembra";15;4;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Aotus_nancymaae";"Aotus";"nancymaae";NA;16;4;0;5;NA;791.03;4;NA;NA;NA;NA;NA -"Aotus_nigriceps";"Aotus";"nigriceps";NA;17;4;0;1;NA;958;3.3;NA;NA;NA;NA;NA -"Aotus_trivirgatus";"Aotus";"trivirgatus";NA;18;4;0;58;16.85;989;3.15;133.47;76.21;303.6;736.6;209.68 -"Aotus_vociferans";"Aotus";"vociferans";NA;19;4;0;12;NA;703;3.3;NA;NA;NA;NA;NA -"Archaeolemur_majori";"Archaeolemur";"majori";NA;20;5;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Arctocebus_aureus";"Arctocebus";"aureus";NA;21;6;NA;NA;5.88;210;NA;NA;NA;NA;NA;NA -"Arctocebus_calabarensis";"Arctocebus";"calabarensis";NA;22;6;0;1;6.92;309;1;133.74;109.26;156;298.91;243 -"Ateles_belzebuth";"Ateles";"belzebuth";NA;23;7;0;12;117.02;8167;14.5;138.2;NA;336;NA;NA -"Ateles_fusciceps";"Ateles";"fusciceps";NA;24;7;0;4;114.24;9025;NA;224.7;482.7;288;1799.68;707.4 -"Ateles_geoffroyi";"Ateles";"geoffroyi";NA;25;7;2;58;105.09;7535;42;226.37;816.35;327.6;2104.57;1042.72 -"Ateles_paniscus";"Ateles";"paniscus";NA;26;7;0;30;103.85;8280;20;228.18;805.41;453.6;2104.57;1033.59 -"Avahi_cleesei";"Avahi";"cleesei";NA;27;8;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Avahi_laniger";"Avahi";"laniger";NA;28;8;0;10;9.86;1207;2;136.15;149.15;NA;NA;285.3 -"Avahi_occidentalis";"Avahi";"occidentalis";NA;29;8;0;6;7.95;801;3;NA;NA;NA;NA;NA -"Avahi_unicolor";"Avahi";"unicolor";NA;30;8;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Brachyteles_arachnoides";"Brachyteles";"arachnoides";NA;31;9;0;57;NA;10537.31;19.6;221.75;734.82;NA;2876.24;956.57 -"Bunopithecus_hoolock";"Bunopithecus";"hoolock";NA;32;10;0;24;110.68;6728;3.2;232.5;635.13;NA;2689.08;867.63 -"Cacajao_calvus";"Cacajao";"calvus";NA;33;11;0;11;76;3165;23.7;180;339.29;324;1262.74;519.29 -"Cacajao_melanocephalus";"Cacajao";"melanocephalus";NA;34;11;0;8;68.77;2935;30;NA;NA;216;NA;NA -"Callicebus_donacophilus";"Callicebus";"donacophilus";NA;35;12;0;1;NA;897.67;1;NA;NA;NA;NA;NA -"Callicebus_hoffmannsi";"Callicebus";"hoffmannsi";NA;36;12;0;NA;NA;1067.61;1;NA;NA;NA;NA;NA -"Callicebus_moloch";"Callicebus";"moloch";NA;37;12;0;18;NA;958.13;2.95;164;58.85;303.6;1262.74;222.85 -"Callicebus_personatus";"Callicebus";"personatus";NA;38;12;0;19;NA;1390.8;2.35;NA;NA;NA;NA;NA -"Callicebus_torquatus";"Callicebus";"torquatus";NA;39;12;0;4;NA;1245;3.85;NA;121.66;NA;1683.65;NA -"Callimico_goeldii";"Callimico";"goeldii";NA;40;13;0;43;11.43;484;6.85;153.99;66.53;214.8;413.84;220.52 -"Callithrix_argentata";"Callithrix";"argentata";NA;41;14;0;16;7.95;345;9.5;NA;NA;201.6;701.52;NA -"Callithrix_aurita";"Callithrix";"aurita";NA;42;14;0;NA;NA;429;6;140;NA;NA;NA;NA -"Callithrix_emiliae";"Callithrix";"emiliae";NA;43;14;NA;NA;NA;309.58;NA;NA;NA;NA;NA;NA -"Callithrix_geoffroyi";"Callithrix";"geoffroyi";NA;44;14;0;NA;NA;342;NA;NA;NA;NA;NA;NA -"Callithrix_humeralifera";"Callithrix";"humeralifera";NA;45;14;0;4;NA;370;8.5;NA;99.01;180;NA;NA -"Callithrix_jacchus";"Callithrix";"jacchus";NA;46;14;2;161;7.24;320;8.55;144;60.24;201.6;455.99;204.24 -"Callithrix_kuhli";"Callithrix";"kuhli";NA;47;14;0;NA;NA;374.99;NA;NA;NA;NA;NA;NA -"Callithrix_mauesi";"Callithrix";"mauesi";NA;48;14;0;NA;NA;443.79;NA;NA;NA;NA;NA;NA -"Callithrix_penicillata";"Callithrix";"penicillata";NA;49;14;0;NA;7.32;328;5.9;NA;NA;NA;NA;NA -"Callithrix_pygmaea";"Callithrix";"pygmaea";NA;50;14;0;36;4.17;116;6;134.44;90.73;181.2;708.5;225.17 -"Cebus_albifrons";"Cebus";"albifrons";NA;51;15;1;13;65.45;2735;25;158.29;270.32;528;1501.69;428.61 -"Cebus_apella";"Cebus";"apella";NA;52;15;17;249;66.63;2936;7.9;154.99;263.12;541.2;1760.81;418.11 -"Cebus_capucinus";"Cebus";"capucinus";NA;53;15;5;60;72.93;2861;18.15;161.06;514.07;657.6;2134.73;675.13 -"Cebus_olivaceus";"Cebus";"olivaceus";NA;54;15;0;18;69.84;2931;11.45;NA;725.86;492;2525.48;NA -"Cebus_xanthosternos";"Cebus";"xanthosternos";NA;55;15;NA;NA;66.09;2440;NA;NA;NA;NA;NA;NA -"Cercocebus_agilis";"Cercocebus";"agilis";NA;56;16;NA;NA;116.43;7580;NA;NA;NA;NA;NA;NA -"Cercocebus_galeritus";"Cercocebus";"galeritus";NA;57;16;0;19;99.07;7435;20.35;174.43;NA;252;2735.94;NA -"Cercocebus_torquatus";"Cercocebus";"torquatus";NA;58;16;1;32;105.99;7485;26.85;168.98;NA;360;1318.86;NA -"Cercocebus_torquatus_atys";"Cercocebus";"torquatus";"atys";59;16;NA;NA;94.68;8600;35;165.08;NA;321.6;1321.67;NA -"Cercopithecus_albogularis";"Cercopithecus";"albogularis";NA;60;17;NA;NA;70.1;5620;32.5;NA;NA;NA;NA;NA -"Cercopithecus_ascanius";"Cercopithecus";"ascanius";NA;61;17;1;26;59.58;3714;26.3;148.5;146.54;339.6;1718.73;295.04 -"Cercopithecus_campbelli";"Cercopithecus";"campbelli";NA;62;17;0;11;57.39;3600;11;180.8;362.93;396;NA;543.73 -"Cercopithecus_campbelli_lowei";"Cercopithecus";"campbelli";"lowei";63;17;NA;NA;55.64;3187;NA;NA;NA;NA;NA;NA -"Cercopithecus_cephus";"Cercopithecus";"cephus";NA;64;17;0;8;65.26;3585;11;169.51;362.93;276;1521.9;532.44 -"Cercopithecus_cephus_cephus";"Cercopithecus";"cephus";"cephus";65;17;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Cercopithecus_cephus_ngottoensis";"Cercopithecus";"cephus";"ngottoensis";66;17;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Cercopithecus_diana";"Cercopithecus";"diana";NA;67;17;1;28;62.61;4550;24.95;NA;362.93;447.6;2279.95;NA -"Cercopithecus_erythrogaster";"Cercopithecus";"erythrogaster";NA;68;17;0;3;NA;3444.88;NA;NA;NA;NA;NA;NA -"Cercopithecus_erythrogaster_erythrogaster";"Cercopithecus";"erythrogaster";"erythrogaster";69;17;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Cercopithecus_erythrotis";"Cercopithecus";"erythrotis";NA;70;17;0;3;65.4;3250;NA;NA;NA;NA;NA;NA -"Cercopithecus_hamlyni";"Cercopithecus";"hamlyni";NA;71;17;0;4;65.9;4425;NA;NA;NA;NA;NA;NA -"Cercopithecus_lhoesti";"Cercopithecus";"lhoesti";NA;72;17;0;7;74.2;4710;17.4;NA;NA;192;NA;NA -"Cercopithecus_mitis";"Cercopithecus";"mitis";NA;73;17;0;56;71.33;6109;16;138.39;688.08;325.2;2049.25;826.47 -"Cercopithecus_mona";"Cercopithecus";"mona";NA;74;17;0;8;61.84;3719;NA;NA;NA;360;NA;NA -"Cercopithecus_neglectus";"Cercopithecus";"neglectus";NA;75;17;0;17;65.97;5450;4.5;172.07;417.62;315.6;2076.39;589.69 -"Cercopithecus_nictitans";"Cercopithecus";"nictitans";NA;76;17;0;7;71.13;5465;16;169.51;NA;276;1684.59;NA -"Cercopithecus_petaurista";"Cercopithecus";"petaurista";NA;77;17;0;5;55.08;3609;14;NA;NA;228;NA;NA -"Cercopithecus_pogonias";"Cercopithecus";"pogonias";NA;78;17;0;8;59.56;3580;15;169.51;NA;289.2;1684.59;NA -"Cercopithecus_preussi";"Cercopithecus";"preussi";NA;79;17;0;2;NA;5132.57;3;NA;NA;NA;NA;NA -"Cercopithecus_solatus";"Cercopithecus";"solatus";NA;80;17;0;6;NA;5256.91;10;NA;NA;NA;NA;NA -"Cercopithecus_wolfi";"Cercopithecus";"wolfi";NA;81;17;0;7;61.45;3390;NA;NA;NA;NA;NA;NA -"Cheirogaleus_crossleyi";"Cheirogaleus";"crossleyi";NA;82;18;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Cheirogaleus_major";"Cheirogaleus";"major";NA;83;18;0;3;5.81;400;1;70;47.14;180;420.91;117.14 -"Cheirogaleus_medius";"Cheirogaleus";"medius";NA;84;18;0;13;2.6;140;1;61.79;60.65;231.6;413.84;122.44 -"Chiropotes_satanas";"Chiropotes";"satanas";NA;85;19;0;21;48.33;3030;14.4;157.67;NA;216;NA;NA -"Chlorocebus_aethiops";"Chlorocebus";"aethiops";NA;86;20;5;91;65;3720;NA;NA;217.76;379.2;NA;NA -"Chlorocebus_pygerythrus";"Chlorocebus";"pygerythrus";NA;87;20;NA;NA;62.58;4324;NA;NA;NA;NA;NA;NA -"Chlorocebus_pygerythrus_cynosurus";"Chlorocebus";"pygerythrus";"cynosurus";88;20;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Chlorocebus_sabaeus";"Chlorocebus";"sabaeus";NA;89;20;NA;NA;64.91;4312;NA;NA;NA;NA;NA;NA -"Chlorocebus_tantalus";"Chlorocebus";"tantalus";NA;90;20;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Colobus_angolensis";"Colobus";"angolensis";NA;91;21;0;16;77.7;8625;10.9;NA;NA;NA;NA;NA -"Colobus_angolensis_palliatus";"Colobus";"angolensis";"palliatus";92;21;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Colobus_guereza";"Colobus";"guereza";NA;93;21;0;42;74.39;8589;7.6;169.02;387.79;294;1929.19;556.81 -"Colobus_polykomos";"Colobus";"polykomos";NA;94;21;0;17;73.83;9100;10.2;172.69;213.78;366;1629.84;386.47 -"Colobus_satanas";"Colobus";"satanas";NA;95;21;0;10;74.9;8910;15.5;192.76;NA;NA;NA;NA -"Colobus_vellerosus";"Colobus";"vellerosus";NA;96;21;NA;NA;73.07;7820;16;NA;NA;NA;NA;NA -"Daubentonia_madagascariensis";"Daubentonia";"madagascariensis";NA;97;22;0;52;44.85;2555;1;166.48;197.7;291.6;834.72;364.18 -"Erythrocebus_patas";"Erythrocebus";"patas";NA;98;23;2;33;97.73;9450;28;167.2;211.79;286.8;1246.07;378.99 -"Eulemur_coronatus";"Eulemur";"coronatus";NA;99;24;0;11;20.65;1180;6.95;124.04;NA;220.8;701.52;NA -"Eulemur_fulvus_albifrons";"Eulemur";"fulvus";"albifrons";100;24;NA;NA;21.45;2336;NA;NA;NA;NA;NA;NA -"Eulemur_fulvus_albocollaris";"Eulemur";"fulvus";"albocollaris";101;24;NA;NA;22.1;2140;NA;NA;NA;NA;NA;NA -"Eulemur_fulvus_collaris";"Eulemur";"fulvus";"collaris";102;24;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Eulemur_fulvus_fulvus";"Eulemur";"fulvus";"fulvus";103;24;1;81;25.77;2292;9.15;120.83;134.64;444;791.75;255.47 -"Eulemur_fulvus_mayottensis";"Eulemur";"fulvus";"mayottensis";104;24;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Eulemur_fulvus_rufus";"Eulemur";"fulvus";"rufus";105;24;NA;NA;25.4;2220;9.5;NA;NA;NA;NA;NA -"Eulemur_fulvus_sanfordi";"Eulemur";"fulvus";"sanfordi";106;24;NA;NA;NA;2394.03;7.7;NA;NA;NA;NA;NA -"Eulemur_macaco_flavifrons";"Eulemur";"macaco";"flavifrons";107;24;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Eulemur_macaco_macaco";"Eulemur";"macaco";"macaco";108;24;0;32;24.51;2390;9.2;127.49;143.28;360;660.75;270.77 -"Eulemur_mongoz";"Eulemur";"mongoz";NA;109;24;0;13;20.17;1212;2.7;129;151.13;360;1060.7;280.13 -"Eulemur_rubriventer";"Eulemur";"rubriventer";NA;110;24;0;13;26.23;1960;3.3;126.99;151.22;NA;566.36;278.21 -"Euoticus_elegantulus";"Euoticus";"elegantulus";NA;111;25;0;1;5.53;274;1;133.45;NA;180;NA;NA -"Galago_alleni";"Galago";"alleni";NA;112;26;0;2;5.58;252;6;133;NA;144;283.18;NA -"Galago_gallarum";"Galago";"gallarum";NA;113;26;NA;NA;NA;250;NA;NA;NA;NA;NA;NA -"Galago_granti";"Galago";"granti";NA;114;26;0;NA;4.07;NA;NA;NA;NA;NA;NA;NA -"Galago_matschiei";"Galago";"matschiei";NA;115;26;NA;NA;4.62;210;1;NA;NA;NA;NA;NA -"Galago_moholi";"Galago";"moholi";NA;116;26;0;14;3.71;148;1;122.29;90.46;198;420.91;212.75 -"Galago_senegalensis";"Galago";"senegalensis";NA;117;26;0;20;3.96;194;3.5;126.98;93.93;204;330.37;220.91 -"Galagoides_demidoff";"Galagoides";"demidoff";NA;118;27;0;5;2.65;75;5.5;111;43.47;168;345.24;154.47 -"Galagoides_zanzibaricus";"Galagoides";"zanzibaricus";NA;119;27;0;NA;3.51;143;1;120;59.27;NA;322.75;179.27 -"Gorilla_beringei";"Gorilla";"beringei";NA;120;28;NA;NA;491.27;130000;NA;NA;NA;NA;NA;NA -"Gorilla_gorilla_gorilla";"Gorilla";"gorilla";"gorilla";121;28;13;517;490.41;120950;6;257;920.35;648;3353.12;1177.35 -"Gorilla_gorilla_graueri";"Gorilla";"gorilla";"graueri";122;28;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Hapalemur_aureus";"Hapalemur";"aureus";NA;123;29;0;5;NA;1562.41;3;142.5;NA;NA;NA;NA -"Hapalemur_griseus";"Hapalemur";"griseus";NA;124;29;0;40;14.09;709;3.1;141.24;136.29;205.2;1003.17;277.53 -"Hapalemur_griseus_alaotrensis";"Hapalemur";"griseus";"alaotrensis";125;29;NA;NA;13.8;1240;NA;NA;NA;NA;NA;NA -"Hapalemur_griseus_griseus";"Hapalemur";"griseus";"griseus";126;29;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Hapalemur_griseus_meridionalis";"Hapalemur";"griseus";"meridionalis";127;29;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Hapalemur_griseus_occidentalis";"Hapalemur";"griseus";"occidentalis";128;29;NA;NA;14.2;NA;NA;NA;NA;NA;NA;NA -"Hapalemur_simus";"Hapalemur";"simus";NA;129;29;0;8;27.14;2150;7.5;140;NA;144;NA;NA -"Homo_sapiens";"Homo";"sapiens";NA;130;30;NA;NA;NA;58540.63;NA;274.78;725.86;1470;5582.93;1000.64 -"Homo_sapiens_neanderthalensis";"Homo";"sapiens";"neanderthalensis";131;30;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Hylobates_agilis";"Hylobates";"agilis";NA;132;31;0;16;91.16;5850;4.2;NA;NA;528;NA;NA -"Hylobates_klossii";"Hylobates";"klossii";NA;133;31;0;4;87.99;5795;3;207.59;NA;NA;NA;NA -"Hylobates_lar";"Hylobates";"lar";NA;134;31;0;86;101.87;5595;3.2;212.91;725.86;480;3852.57;938.77 -"Hylobates_moloch";"Hylobates";"moloch";NA;135;31;0;16;NA;5860.81;2.15;241.2;NA;NA;NA;NA -"Hylobates_muelleri";"Hylobates";"muelleri";NA;136;31;0;5;85.13;5821;3.2;206.7;NA;NA;NA;NA -"Hylobates_pileatus";"Hylobates";"pileatus";NA;137;31;0;16;84.69;5470;3.25;200.16;635.13;432;2454.24;835.29 -"Indri_indri";"Indri";"indri";NA;138;32;0;8;34.81;6335;3.1;136.5;331.34;NA;1605.69;467.84 -"Lagothrix_lagotricha";"Lagothrix";"lagotricha";NA;139;33;0;34;96.5;7150;33;223.99;312.66;360;1729.33;536.65 -"Lemur_catta";"Lemur";"catta";NA;140;34;4;103;22.9;2210;16.45;134.74;126.51;360;831.62;261.25 -"Leontopithecus_chrysomelas";"Leontopithecus";"chrysomelas";NA;141;35;0;46;11.84;655;6.7;NA;NA;NA;NA;NA -"Leontopithecus_chrysopygus";"Leontopithecus";"chrysopygus";NA;142;35;0;38;NA;656.12;3.6;NA;NA;NA;NA;NA -"Leontopithecus_rosalia";"Leontopithecus";"rosalia";NA;143;35;0;85;12.83;609;4.5;134;75.69;297.6;890.34;209.69 -"Lepilemur_aeeclis";"Lepilemur";"aeeclis";NA;144;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_ankaranensis";"Lepilemur";"ankaranensis";NA;145;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_dorsalis";"Lepilemur";"dorsalis";NA;146;36;0;1;6.7;870;1;NA;NA;NA;NA;NA -"Lepilemur_edwardsi";"Lepilemur";"edwardsi";NA;147;36;0;5;7.25;931;1;NA;NA;NA;NA;NA -"Lepilemur_hubbardorum";"Lepilemur";"hubbardorum";NA;148;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_leucopus";"Lepilemur";"leucopus";NA;149;36;0;2;6.87;606;1;135.92;121.66;103;620.76;257.58 -"Lepilemur_manasamody";"Lepilemur";"manasamody";NA;150;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_microdon";"Lepilemur";"microdon";NA;151;36;0;1;9.75;970;1;NA;NA;NA;NA;NA -"Lepilemur_mitsinjoensis";"Lepilemur";"mitsinjoensis";NA;152;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_mustelinus";"Lepilemur";"mustelinus";NA;153;36;0;5;9.56;777;1;133.45;76.21;144;663.81;209.66 -"Lepilemur_otto";"Lepilemur";"otto";NA;154;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_randrianasoli";"Lepilemur";"randrianasoli";NA;155;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_ruficaudatus";"Lepilemur";"ruficaudatus";NA;156;36;0;2;8.25;805;1;135.92;119.32;NA;NA;255.24 -"Lepilemur_sahamalazensis";"Lepilemur";"sahamalazensis";NA;157;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_seali";"Lepilemur";"seali";NA;158;36;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Lepilemur_septentrionalis";"Lepilemur";"septentrionalis";NA;159;36;0;NA;NA;755.77;1;134.99;120.97;NA;377.57;255.96 -"Lophocebus_albigena";"Lophocebus";"albigena";NA;160;37;0;34;93.97;6950;16;182.64;211.71;392.4;2525.48;394.35 -"Lophocebus_aterrimus";"Lophocebus";"aterrimus";NA;161;37;0;6;101.59;6800;17.5;NA;NA;321.6;NA;NA -"Loris_lydekkerianus";"Loris";"lydekkerianus";NA;162;38;NA;NA;6.34;267;NA;NA;NA;NA;NA;NA -"Loris_tardigradus";"Loris";"tardigradus";NA;163;38;0;14;5.87;193;1;165.99;167.49;196.8;350.76;333.48 -"Macaca_arctoides";"Macaca";"arctoides";NA;164;39;1;48;100.7;10300;NA;176.6;377.66;360;1570.01;554.26 -"Macaca_assamensis";"Macaca";"assamensis";NA;165;39;0;17;90.46;9100;21;NA;NA;NA;NA;NA -"Macaca_brunnescens";"Macaca";"brunnescens";NA;166;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Macaca_cyclopis";"Macaca";"cyclopis";NA;167;39;0;12;82;5470;20.2;161.06;205.24;NA;1650.01;366.3 -"Macaca_fascicularis";"Macaca";"fascicularis";NA;168;39;7;174;63.98;4251;27;164.69;283.53;456;1319.5;448.22 -"Macaca_fuscata";"Macaca";"fuscata";NA;169;39;45;253;102.92;9515;40.65;172.99;265.04;396;1460.77;438.03 -"Macaca_hecki";"Macaca";"hecki";NA;170;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Macaca_leonina";"Macaca";"leonina";NA;171;39;NA;NA;85.6;5642;NA;NA;NA;NA;NA;NA -"Macaca_maura";"Macaca";"maura";NA;172;39;0;22;NA;7290.3;NA;167.19;497.16;NA;NA;664.35 -"Macaca_mulatta";"Macaca";"mulatta";NA;173;39;15;296;88.98;6793;38.5;166.07;304.16;432;1101.07;470.23 -"Macaca_munzala";"Macaca";"munzala";NA;174;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Macaca_nemestrina";"Macaca";"nemestrina";NA;175;39;3;51;105.59;8821;22.6;171;292.6;411.6;1427.17;463.6 -"Macaca_nemestrina_leonina";"Macaca";"nemestrina";"leonina";176;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Macaca_nemestrina_siberu";"Macaca";"nemestrina";"siberu";177;39;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Macaca_nigra";"Macaca";"nigra";NA;178;39;0;27;94.9;7680;35;172.43;365;216;1984.51;537.43 -"Macaca_nigrescens";"Macaca";"nigrescens";NA;179;39;NA;NA;NA;NA;14.5;NA;NA;NA;NA;NA -"Macaca_ochreata";"Macaca";"ochreata";NA;180;39;0;3;NA;3400;NA;NA;NA;NA;NA;NA -"Macaca_pagensis";"Macaca";"pagensis";NA;181;39;NA;NA;NA;4534.66;NA;NA;272.2;360;1227.12;NA -"Macaca_radiata";"Macaca";"radiata";NA;182;39;0;34;74.87;5084;33.5;161.56;332.25;360;1785.78;493.81 -"Macaca_silenus";"Macaca";"silenus";NA;183;39;1;48;85;7500;21;172;362.93;480;1912.19;534.93 -"Macaca_sinica";"Macaca";"sinica";NA;184;39;0;12;69.7;4440;20.1;180.9;NA;420;1894.11;NA -"Macaca_sylvanus";"Macaca";"sylvanus";NA;185;39;0;67;93.2;12078;18.3;164.84;210.25;264;1542.25;375.09 -"Macaca_thibetana";"Macaca";"thibetana";NA;186;39;1;42;NA;10593.06;21;169.02;451.79;NA;NA;620.81 -"Macaca_tonkeana";"Macaca";"tonkeana";NA;187;39;2;26;NA;10035.53;NA;NA;NA;NA;NA;NA -"Mandrillus_leucophaeus";"Mandrillus";"leucophaeus";NA;188;40;0;18;148;15000;17;179.22;486.66;400.8;1745.96;665.88 -"Mandrillus_sphinx";"Mandrillus";"sphinx";NA;189;40;3;30;153.88;23600;13.9;173.99;348.01;555.96;2122.11;522 -"Microcebus_berthae";"Microcebus";"berthae";NA;190;41;NA;NA;NA;33.45;NA;NA;NA;NA;NA;NA -"Microcebus_bongolavensis";"Microcebus";"bongolavensis";NA;191;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_danfossi";"Microcebus";"danfossi";NA;192;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_griseorufus";"Microcebus";"griseorufus";NA;193;41;NA;NA;NA;70.24;NA;NA;NA;NA;NA;NA -"Microcebus_jollyae";"Microcebus";"jollyae";NA;194;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_lehilahytsara";"Microcebus";"lehilahytsara";NA;195;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_lokobensis";"Microcebus";"lokobensis";NA;196;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_macarthurii";"Microcebus";"macarthurii";NA;197;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_mamiratra";"Microcebus";"mamiratra";NA;198;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_mittermeieri";"Microcebus";"mittermeieri";NA;199;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_murinus";"Microcebus";"murinus";NA;200;41;0;66;1.63;65;1;60.34;40.45;186;355.53;100.79 -"Microcebus_myoxinus";"Microcebus";"myoxinus";NA;201;41;0;NA;NA;31.23;1;59.99;NA;NA;NA;NA -"Microcebus_ravelobensis";"Microcebus";"ravelobensis";NA;202;41;0;NA;NA;58.6;NA;NA;NA;NA;NA;NA -"Microcebus_rufus";"Microcebus";"rufus";NA;203;41;0;8;1.72;43;1;59.99;40;144;NA;99.99 -"Microcebus_sambiranensis";"Microcebus";"sambiranensis";NA;204;41;NA;NA;NA;49.06;NA;NA;NA;NA;NA;NA -"Microcebus_simmonsi";"Microcebus";"simmonsi";NA;205;41;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Microcebus_tavaratra";"Microcebus";"tavaratra";NA;206;41;NA;NA;NA;68.01;NA;NA;NA;NA;NA;NA -"Miopithecus_talapoin";"Miopithecus";"talapoin";NA;207;42;0;4;NA;1248.86;91.2;164.38;178.98;370.8;1733.36;343.36 -"Mirza_coquereli";"Mirza";"coquereli";NA;208;43;0;3;5.8;312;1;88.58;136;183.6;343.74;224.58 -"Mirza_zaza";"Mirza";"zaza";NA;209;43;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Nasalis_larvatus";"Nasalis";"larvatus";NA;210;44;0;17;92.3;14561;11.25;165.04;211.75;252;1894.11;376.79 -"Nomascus_concolor";"Nomascus";"concolor";NA;211;45;0;21;NA;6410.47;4;205.81;635.13;529.2;2454.24;840.94 -"Nomascus_gabriellae";"Nomascus";"gabriellae";NA;212;45;0;4;119.38;7365;1;NA;NA;NA;NA;NA -"Nomascus_leucogenys";"Nomascus";"leucogenys";NA;213;45;0;8;NA;7320;1;NA;NA;NA;NA;NA -"Nomascus_nasutus";"Nomascus";"nasutus";NA;214;45;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Nomascus_siki";"Nomascus";"siki";NA;215;45;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Nycticebus_bengalensis";"Nycticebus";"bengalensis";NA;216;46;NA;NA;13.49;1060;NA;NA;NA;NA;NA;NA -"Nycticebus_coucang";"Nycticebus";"coucang";NA;217;46;0;37;10.13;653;1;191.09;181.21;318;660.82;372.3 -"Nycticebus_javanicus";"Nycticebus";"javanicus";NA;218;46;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Nycticebus_menagensis";"Nycticebus";"menagensis";NA;219;46;NA;NA;9.67;634;NA;NA;NA;NA;NA;NA -"Nycticebus_pygmaeus";"Nycticebus";"pygmaeus";NA;220;46;0;19;7.23;307;1;185.42;NA;NA;NA;NA -"Otolemur_crassicaudatus";"Otolemur";"crassicaudatus";NA;221;47;1;36;11.78;1150;3.5;131.04;124.62;225.6;609.86;255.66 -"Otolemur_garnettii";"Otolemur";"garnettii";NA;222;47;1;12;11.5;764;1;132.24;139.2;204;592.15;271.44 -"Pan_paniscus";"Pan";"paniscus";NA;223;48;5;225;341.29;39100;85;235.24;1081.31;576;5465.72;1316.55 -"Pan_troglodytes_schweinfurthii";"Pan";"troglodytes";"schweinfurthii";224;48;NA;NA;390.33;38200;NA;NA;NA;NA;NA;NA -"Pan_troglodytes_troglodytes";"Pan";"troglodytes";"troglodytes";225;48;214;755;363.05;52750;50;231.49;1260.81;720;3897.96;1492.3 -"Pan_troglodytes_vellerosus";"Pan";"troglodytes";"vellerosus";226;48;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Pan_troglodytes_verus";"Pan";"troglodytes";"verus";227;48;NA;NA;371.74;43950;NA;NA;NA;NA;NA;NA -"Papio_anubis";"Papio";"anubis";NA;228;49;4;43;167.42;18150;40;178.96;596.6;302.4;NA;775.56 -"Papio_cynocephalus";"Papio";"cynocephalus";NA;229;49;2;114;163.19;17150;48.2;172.99;450.42;540;2560.56;623.41 -"Papio_hamadryas";"Papio";"hamadryas";NA;230;49;1;78;146.17;14150;36.9;180;363.96;450;1652.37;543.96 -"Papio_papio";"Papio";"papio";NA;231;49;3;8;142.5;18026.05;NA;184.42;NA;480;NA;NA -"Papio_ursinus";"Papio";"ursinus";NA;232;49;5;22;178;22300;47;185.92;877.09;540;1543.35;1063.01 -"Perodicticus_potto";"Perodicticus";"potto";NA;233;50;0;10;12.42;835;1;193;149.15;312;561.58;342.15 -"Phaner_furcifer";"Phaner";"furcifer";NA;234;51;0;1;NA;409.87;1;174.46;NA;144;NA;NA -"Phaner_furcifer_pallescens";"Phaner";"furcifer";"pallescens";235;51;NA;NA;6.68;339;NA;NA;NA;NA;NA;NA -"Piliocolobus_badius";"Piliocolobus";"badius";NA;236;52;0;52;63.59;8285;34;151.41;783.93;NA;1473.2;935.34 -"Piliocolobus_foai";"Piliocolobus";"foai";NA;237;52;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Piliocolobus_gordonorum";"Piliocolobus";"gordonorum";NA;238;52;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Piliocolobus_kirkii";"Piliocolobus";"kirkii";NA;239;52;1;7;57.25;5630;33.6;165;NA;NA;NA;NA -"Piliocolobus_pennantii";"Piliocolobus";"pennantii";NA;240;52;0;NA;NA;10896;NA;NA;NA;NA;NA;NA -"Piliocolobus_preussi";"Piliocolobus";"preussi";NA;241;52;0;NA;NA;8865.71;40;195;NA;NA;NA;NA -"Piliocolobus_rufomitratus";"Piliocolobus";"rufomitratus";NA;242;52;NA;NA;NA;8030.75;24.5;195;NA;NA;NA;NA -"Piliocolobus_tephrosceles";"Piliocolobus";"tephrosceles";NA;243;52;NA;NA;70.95;8409;34;NA;NA;NA;NA;NA -"Piliocolobus_tholloni";"Piliocolobus";"tholloni";NA;244;52;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Pithecia_irrorata";"Pithecia";"irrorata";NA;245;53;0;7;NA;2308.17;4.4;NA;NA;NA;NA;NA -"Pithecia_pithecia";"Pithecia";"pithecia";NA;246;53;0;28;32.26;1760;2.7;161.13;113.15;248.4;1089.37;274.28 -"Pongo_abelii";"Pongo";"abelii";NA;247;54;NA;NA;389.5;62815;NA;NA;NA;NA;NA;NA -"Pongo_pygmaeus";"Pongo";"pygmaeus";NA;248;54;86;321;377.38;58542;1;259.42;1088.8;720;3318.62;1348.22 -"Presbytis_comata";"Presbytis";"comata";NA;249;55;0;11;80.3;6695;7.05;NA;NA;NA;NA;NA -"Presbytis_melalophos";"Presbytis";"melalophos";NA;250;55;0;6;64.85;6560;14;NA;NA;192;NA;NA -"Procolobus_verus";"Procolobus";"verus";NA;251;56;0;3;52.6;4450;6.3;167.84;NA;NA;NA;NA -"Propithecus_coquereli";"Propithecus";"coquereli";NA;252;57;NA;NA;30.19;3729;5.5;140.99;180.96;NA;NA;321.95 -"Propithecus_deckenii";"Propithecus";"deckenii";NA;253;57;NA;NA;30.15;3532;NA;NA;NA;NA;NA;NA -"Propithecus_diadema";"Propithecus";"diadema";NA;254;57;0;28;39.8;6130;4.95;152.08;256.27;NA;1683.65;408.35 -"Propithecus_edwardsi";"Propithecus";"edwardsi";NA;255;57;NA;NA;39.49;5682;6;NA;NA;NA;NA;NA -"Propithecus_tattersalli";"Propithecus";"tattersalli";NA;256;57;0;9;NA;3531.39;4.1;NA;152.13;NA;NA;NA -"Propithecus_verreauxi";"Propithecus";"verreauxi";NA;257;57;1;41;26.21;2955;6.3;149.77;177.83;247.2;943.94;327.6 -"Pygathrix_cinerea";"Pygathrix";"cinerea";NA;258;58;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Pygathrix_nemaeus";"Pygathrix";"nemaeus";NA;259;58;0;25;91.41;9720;9.3;182.88;NA;300;NA;NA -"Rhinopithecus_avunculus";"Rhinopithecus";"avunculus";NA;260;59;0;11;NA;9086.19;30;200;NA;NA;NA;NA -"Rhinopithecus_bieti";"Rhinopithecus";"bieti";NA;261;59;0;NA;NA;11000.54;50;170;NA;NA;755.15;NA -"Rhinopithecus_brelichi";"Rhinopithecus";"brelichi";NA;262;59;0;16;NA;12267.15;NA;200;NA;NA;NA;NA -"Rhinopithecus_roxellana";"Rhinopithecus";"roxellana";NA;263;59;0;36;117.76;14750;65;199.34;NA;NA;NA;NA -"Rungwecebus_kipunji";"Rungwecebus";"kipunji";NA;264;60;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Saguinus_bicolor";"Saguinus";"bicolor";NA;265;61;0;9;NA;465;6.7;158.16;NA;NA;NA;NA -"Saguinus_fuscicollis";"Saguinus";"fuscicollis";NA;266;61;2;81;7.94;401;6;148;90.1;294;406.61;238.1 -"Saguinus_fuscicollis_melanoleucus";"Saguinus";"fuscicollis";"melanoleucus";267;61;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Saguinus_geoffroyi";"Saguinus";"geoffroyi";NA;268;61;0;NA;10.14;517;6.9;NA;NA;NA;NA;NA -"Saguinus_imperator";"Saguinus";"imperator";NA;269;61;0;16;NA;407.91;5;NA;NA;242.4;NA;NA -"Saguinus_leucopus";"Saguinus";"leucopus";NA;270;61;0;3;9.7;525;7.5;142.5;NA;NA;NA;NA -"Saguinus_midas";"Saguinus";"midas";NA;271;61;0;17;9.78;563;5.55;138.24;69.6;184.8;841.82;207.84 -"Saguinus_mystax";"Saguinus";"mystax";NA;272;61;0;46;11.09;584;5.4;148.28;NA;NA;556.85;NA -"Saguinus_niger";"Saguinus";"niger";NA;273;61;NA;NA;9.48;375;NA;NA;NA;NA;NA;NA -"Saguinus_oedipus";"Saguinus";"oedipus";NA;274;61;0;153;9.76;431;7.05;166.49;49.85;277.2;680.38;216.34 -"Saguinus_tripartitus";"Saguinus";"tripartitus";NA;275;61;0;5;NA;385.05;NA;NA;NA;NA;NA;NA -"Saimiri_boliviensis";"Saimiri";"boliviensis";NA;276;62;0;36;NA;799.45;60;157.79;NA;NA;NA;NA -"Saimiri_oerstedii";"Saimiri";"oerstedii";NA;277;62;1;4;25.07;789;25.1;161;362.93;NA;NA;523.93 -"Saimiri_sciureus";"Saimiri";"sciureus";NA;278;62;1;89;24.14;799;34.85;164.09;177.41;324;1399.88;341.5 -"Saimiri_ustus";"Saimiri";"ustus";NA;279;62;0;4;NA;886.47;NA;NA;238.64;NA;NA;NA -"Semnopithecus_entellus";"Semnopithecus";"entellus";NA;280;63;2;98;110.93;14742;19;197.7;402.1;300;1497.64;599.8 -"Symphalangus_syndactylus";"Symphalangus";"syndactylus";NA;281;64;0;40;123.5;11295;3.8;230.66;635.38;456;3788.23;866.04 -"Tarsius_bancanus";"Tarsius";"bancanus";NA;282;65;0;8;3.16;126;1;125.84;78.55;144;658.68;204.39 -"Tarsius_dentatus";"Tarsius";"dentatus";NA;283;65;0;2;3;113;1;NA;NA;NA;NA;NA -"Tarsius_lariang";"Tarsius";"lariang";NA;284;65;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Tarsius_syrichta";"Tarsius";"syrichta";NA;285;65;0;10;3.36;126;1;177.99;82.49;180;NA;260.48 -"Theropithecus_gelada";"Theropithecus";"gelada";NA;286;66;0;34;133.33;15350;10;178.64;494.95;336;1894.11;673.59 -"Trachypithecus_auratus";"Trachypithecus";"auratus";NA;287;67;0;2;NA;9719.6;11;NA;NA;NA;NA;NA -"Trachypithecus_cristatus";"Trachypithecus";"cristatus";NA;288;67;0;8;57.86;6394;27.4;NA;362.93;373.2;NA;NA -"Trachypithecus_delacouri";"Trachypithecus";"delacouri";NA;289;67;0;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Trachypithecus_francoisi";"Trachypithecus";"francoisi";NA;290;67;0;45;NA;8139.93;NA;NA;391.76;NA;NA;NA -"Trachypithecus_geei";"Trachypithecus";"geei";NA;291;67;0;7;81.3;10150;11;NA;NA;NA;NA;NA -"Trachypithecus_germaini";"Trachypithecus";"germaini";NA;292;67;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Trachypithecus_johnii";"Trachypithecus";"johnii";NA;293;67;1;9;84.6;11600;10;NA;NA;NA;NA;NA -"Trachypithecus_laotum";"Trachypithecus";"laotum";NA;294;67;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Trachypithecus_obscurus";"Trachypithecus";"obscurus";NA;295;67;0;6;62.12;7056;10;146.63;362.93;300;NA;509.56 -"Trachypithecus_phayrei";"Trachypithecus";"phayrei";NA;296;67;0;16;72.84;7475;12.9;180.61;305.87;NA;NA;486.48 -"Trachypithecus_pileatus";"Trachypithecus";"pileatus";NA;297;67;0;5;103.64;11794;8.5;NA;NA;NA;NA;NA -"Trachypithecus_poliocephalus";"Trachypithecus";"poliocephalus";NA;298;67;NA;NA;NA;NA;NA;NA;NA;NA;NA;NA -"Trachypithecus_vetulus";"Trachypithecus";"vetulus";NA;299;67;0;2;61.29;6237;8.35;204.72;245.78;276;1113.7;450.5 -"Varecia_rubra";"Varecia";"rubra";NA;300;68;NA;NA;31.08;3470;NA;NA;NA;NA;NA;NA -"Varecia_variegata_variegata";"Varecia";"variegata";"variegata";301;68;0;57;32.12;3575;2.8;102.5;90.73;384;701.52;193.23 diff --git a/Rethinking_2/Data/cars.csv b/Rethinking_2/Data/cars.csv deleted file mode 100644 index 34b3d46..0000000 --- a/Rethinking_2/Data/cars.csv +++ /dev/null @@ -1,51 +0,0 @@ -"","speed","dist" -"1",4,2 -"2",4,10 -"3",7,4 -"4",7,22 -"5",8,16 -"6",9,10 -"7",10,18 -"8",10,26 -"9",10,34 -"10",11,17 -"11",11,28 -"12",12,14 -"13",12,20 -"14",12,24 -"15",12,28 -"16",13,26 -"17",13,34 -"18",13,34 -"19",13,46 -"20",14,26 -"21",14,36 -"22",14,60 -"23",14,80 -"24",15,20 -"25",15,26 -"26",15,54 -"27",16,32 -"28",16,40 -"29",17,32 -"30",17,40 -"31",17,50 -"32",18,42 -"33",18,56 -"34",18,76 -"35",18,84 -"36",19,36 -"37",19,46 -"38",19,68 -"39",20,32 -"40",20,48 -"41",20,52 -"42",20,56 -"43",20,64 -"44",22,66 -"45",23,54 -"46",24,70 -"47",24,92 -"48",24,93 -"49",24,120 -"50",25,85 From 12cb9875cd700789971b5e203765ae799af5f658 Mon Sep 17 00:00:00 2001 From: Oscar Date: Tue, 19 May 2020 16:54:20 +0100 Subject: [PATCH 15/15] Addressed @aloctovadia's comments (except standardised) --- Rethinking_2/Chp_08.ipynb | 171 ++++++++++---------------------------- 1 file changed, 43 insertions(+), 128 deletions(-) diff --git a/Rethinking_2/Chp_08.ipynb b/Rethinking_2/Chp_08.ipynb index 5864939..537bdc6 100644 --- a/Rethinking_2/Chp_08.ipynb +++ b/Rethinking_2/Chp_08.ipynb @@ -11,7 +11,11 @@ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import pymc3 as pm\n", - "from scipy import stats" + "import warnings\n", + "from scipy import stats\n", + "\n", + "pd.options.mode.chained_assignment = None\n", + "warnings.filterwarnings('ignore', category=FutureWarning)" ] }, { @@ -39,26 +43,7 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:10: 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", - " # Remove the CWD from sys.path while we load stuff.\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:11: 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", - " # This is added back by InteractiveShellApp.init_path()\n" - ] - } - ], + "outputs": [], "source": [ "d = pd.read_csv(\"Data/rugged.csv\", delimiter=\";\")\n", "\n", @@ -130,7 +115,7 @@ { "data": { "text/plain": [ - "0.23" + "0.516" ] }, "execution_count": 6, @@ -139,7 +124,7 @@ } ], "source": [ - "np.sum(np.abs(m_8_1_prior[\"b\"] > 0.6)) / len(m_8_1_prior[\"b\"])" + "np.sum(np.abs(m_8_1_prior[\"b\"]) > 0.6) / len(m_8_1_prior[\"b\"])" ] }, { @@ -162,7 +147,7 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1491.90draws/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1774.15draws/s]\n" ] } ], @@ -188,7 +173,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -200,7 +185,7 @@ "source": [ "# Figure 8.3\n", "\n", - "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[7, 4])\n", + "_, (ax1, ax2) = plt.subplots(1, 2, figsize=[7, 4], constrained_layout=True)\n", "\n", "n = 100\n", "rugged_plot = np.linspace(-0.1, 1.1)\n", @@ -227,9 +212,7 @@ " ax.set_xlabel(\"log GDP (prop of mean)\")\n", " ax.axhline(0.7, ls=\"dashed\", color=\"k\", lw=1)\n", " ax.axhline(1.3, ls=\"dashed\", color=\"k\", lw=1)\n", - " ax.set_ylim(0.5, 1.5)\n", - "\n", - "fig.tight_layout()" + " ax.set_ylim(0.5, 1.5)\n" ] }, { @@ -345,19 +328,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1138.00draws/s]\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1422.92draws/s]\n" ] } ], @@ -487,14 +462,6 @@ "execution_count": 13, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n" - ] - }, { "data": { "text/html": [ @@ -588,7 +555,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [00:00<00:00, 10275.22it/s]\n" + "100%|██████████| 1000/1000 [00:00<00:00, 13641.52it/s]\n" ] }, { @@ -623,16 +590,6 @@ "execution_count": 15, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'log GDP (as proportion of mean)')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": "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\n", @@ -676,7 +633,7 @@ "\n", "ax.set_xlim(-0.1, 1.1)\n", "ax.set_xlabel(\"ruggedness (standardised)\")\n", - "ax.set_ylabel(\"log GDP (as proportion of mean)\")" + "ax.set_ylabel(\"log GDP (as proportion of mean)\");" ] }, { @@ -695,19 +652,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, b, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 798.68draws/s] \n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 989.84draws/s] \n" ] } ], @@ -833,16 +782,6 @@ "execution_count": 18, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n", - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n" - ] - }, { "data": { "text/html": [ @@ -951,18 +890,10 @@ "execution_count": 19, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/oscar/miniconda3/envs/py3/lib/python3.7/site-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " rval = inputs[0].__getitem__(inputs[1:])\n" - ] - }, { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 19, @@ -1002,13 +933,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1000/1000 [00:00<00:00, 9276.89it/s]\n" + "100%|██████████| 1000/1000 [00:00<00:00, 15482.11it/s]\n" ] } ], "source": [ "with m_8_3:\n", - " m_8_3_posterior = pm.sample_posterior_predictive(m_8_3_trace, vars=[a, b])" + " m_8_3_posterior = pm.sample_posterior_predictive(m_8_3_trace, var_names=['a', 'b'])" ] }, { @@ -1018,7 +949,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1028,7 +959,7 @@ } ], "source": [ - "fig, axs = plt.subplots(1, 2, figsize=[7, 4], sharey=True)\n", + "_, axs = plt.subplots(1, 2, figsize=[7, 4], sharey=True, constrained_layout=True)\n", "\n", "ax1, ax0 = axs\n", "\n", @@ -1068,9 +999,7 @@ "ax.set_xlim(-0.1, 1.1)\n", "ax0.set_xlabel(\"ruggedness (standardised)\")\n", "ax1.set_xlabel(\"ruggedness (standardised)\")\n", - "ax1.set_ylabel(\"log GDP (as proportion of mean)\")\n", - "\n", - "fig.tight_layout()" + "ax1.set_ylabel(\"log GDP (as proportion of mean)\");" ] }, { @@ -1085,16 +1014,6 @@ "execution_count": 22, "metadata": {}, "outputs": [ - { - "data": { - "text/plain": [ - "(0.0, 1.0)" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - }, { "data": { "image/png": "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\n", @@ -1117,7 +1036,7 @@ "plt.axhline(0, ls=\"dashed\", zorder=1, color=(0, 0, 0, 0.5))\n", "plt.xlabel(\"ruggedness\")\n", "plt.ylabel(\"expected difference log GDP\")\n", - "plt.xlim(0, 1)" + "plt.xlim(0, 1);" ] }, { @@ -1319,8 +1238,8 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bs, bw, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1233.81draws/s]\n", - "100%|██████████| 1000/1000 [00:00<00:00, 10318.75it/s]\n" + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1455.33draws/s]\n", + "100%|██████████| 1000/1000 [00:00<00:00, 17451.11it/s]\n" ] } ], @@ -1336,7 +1255,7 @@ " blooms_std = pm.Normal(\"blooms_std\", mu, sigma, observed=d[\"blooms_std\"])\n", "\n", " m_8_4_trace = pm.sample()\n", - " m_8_4_post = pm.sample_posterior_predictive(m_8_4_trace, vars=[a, bw, bs])" + " m_8_4_post = pm.sample_posterior_predictive(m_8_4_trace, var_names=['a', 'bw', 'bs'])" ] }, { @@ -1359,9 +1278,9 @@ "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (2 chains in 2 jobs)\n", "NUTS: [sigma, bws, bs, bw, a]\n", - "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:02<00:00, 833.64draws/s]\n", + "Sampling 2 chains, 0 divergences: 100%|██████████| 2000/2000 [00:01<00:00, 1203.83draws/s]\n", "The acceptance probability does not match the target. It is 0.8819097065178743, but should be close to 0.8. Try to increase the number of tuning steps.\n", - "100%|██████████| 1000/1000 [00:00<00:00, 14799.94it/s]\n" + "100%|██████████| 1000/1000 [00:00<00:00, 15536.24it/s]\n" ] } ], @@ -1383,7 +1302,7 @@ " blooms_std = pm.Normal(\"blooms_std\", mu, sigma, observed=d[\"blooms_std\"])\n", "\n", " m_8_5_trace = pm.sample()\n", - " m_8_5_post = pm.sample_posterior_predictive(m_8_5_trace, vars=[a, bw, bs, bws])" + " m_8_5_post = pm.sample_posterior_predictive(m_8_5_trace, var_names=['a', 'bw', 'bs', 'bws'])" ] }, { @@ -1395,12 +1314,12 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA48AAAH/CAYAAAD31OjnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzde3Tbd3n48bfusi3Jlm3JsuVb7CRuLo7j3G9NKCtsrGWDrHDKBuu2UqDQ0KaMHlj5lVFayhhQaMJgFEaBQyEURthK6WihTZomveWexkkc323ZkizJkmzrLv3+MPoS1/ElcRI7zvM6p+c08tdffaRv8pGe7+d5Po8qk8lkEEIIIYQQQgghJqCe6QEIIYQQQgghhJj9JHgUQgghhBBCCDEpCR6FEEIIIYQQQkxKgkchhBBCCCGEEJOS4FEIIYQQQgghxKQkeBRCCCGEEEIIMSkJHoUQQgghhBBCTEqCRyGEEEIIIYQQk5LgUQghhBBCCCHEpCR4FBN66qmn+Ku/+iuWL1/O5s2b+cxnPoPb7b6gczzxxBPU1dXx0Y9+9DKN8uI0NTWxY8cOIpHIZTn/f//3f1NXV4ff778s5we4+eab+cxnPnPZzn+pPPPMM2zbto3rr7+euro6vv/978/0kMQsJXPOxbtW5xyv18s999zDihUrWLVqFffddx8DAwMzPSwxi8k8c/GuxXnG7/fz0EMP8b73vY+lS5fS2Ng400OaURI8inH94he/4HOf+xwbNmzg29/+Ntu3b2f//v189KMfJZ1OT+kcXq+Xb33rWxQVFV3m0V64pqYmdu7cedkmWPEnzz77LF1dXdxwww0zPRQxi8mcIy5UMpnkwx/+MGfOnOErX/kKDz30EAcPHuTjH/84mUxmpocnZiGZZ8SFcrvdPPPMMxQVFbF06dKZHs6M0870AMTs9fTTT7N69epRd38MBgPbt2+nra2N2traSc/x7//+77z97W/H5XJdzqGKWe4b3/gGavXIvapdu3bN8GjEbCVzjrhQv/vd7zh16hRPP/00CxYsAMBut/OBD3yAl156ic2bN8/wCMVsI/OMuFB1dXXs378fgB07dnD69OkZHtHMkpXHOe4zn/kMN998My+99BLvfve7WbZsGX/7t39LV1cXAwMDSqrPjTfeyDPPPDPqd5PJJCaTadRjFosFYEp3dN944w2ef/55PvWpT015vDt27KCxsZFjx45xyy23UF9fz7ve9S5eeOGFMcfu2rWLd73rXSxdupS3ve1tPProoySTSeXnoVCIz33uc1x//fXU19ezZcsWtm/fDoykXXz2s58FYP369dTV1fH2t799yuOc7Pzn6u3t5cMf/jDLly/nne98J7t37x718xdffJF//Md/ZP369axYsYL3ve997N27d8x5Dh06xNatW6mvr+fmm29mz5495x3X4cOH+fu//3uWL1/OypUr+dSnPoXP57ug13apZQNHMffJnCNzzpWcc/bs2UNdXZ0SOAKsWLECp9M57njF1U/mGZlnruQ8I99hRpN34xrg9Xr56le/yp133slXv/pVuru7+fSnP829997LggUL2LFjB0uWLOHTn/40PT09yu+9//3vZ9++fTzzzDMMDg7S0tLCjh07WLduHfPnz5/wOVOpFF/84hf52Mc+ht1uv6DxJhIJtm/fznvf+1527txJVVUVd911F2fOnFGO+fGPf8wDDzzAunXr+Pa3v82tt97K97//fR544AHlmEceeYQXX3yRe++9l+9///vcd9996PV6AN72trdx5513AvC9732PXbt2sXPnTuV36+rqJs23n+j85/r0pz/Npk2b+Na3vsV1113HZz7zGc6ePav8vLu7mxtuuIGvfOUr7NixgxUrVvCRj3yEV199VTnG6/Vy++23o9fr+cY3vsHtt9/OF77wBbxe76jnOnz4MB/60Icwm808+uijfPGLX+T48ePKa51IMpmc9L+ppvSIa5vMOTLnXKk5p6Wl5bwrRfPnz6elpWXSMYirl8wzMs/Id5uZIWmr14BgMMiTTz6pfMB6PB6++MUvcscdd/CJT3wCgPr6ep577jmef/55brvtNgD+6q/+img0yn333UcikQBg5cqVoyai8Tz55JMMDw/zD//wDxc83kQiwZ133sktt9wCwKZNm3jHO97Bf/7nf/K1r32NVCrFt771Lf7iL/6Cz3/+8wBcf/31qFQqHn30Ue68804qKio4fvw4N998M+9973uVc990000AFBYWUllZCcCSJUsoLCy84HFOdP5z/d3f/R1/93d/B0BDQwMvvvgiv/vd75QPqQ9+8IPKsel0mrVr13L27Fl+/vOfs3btWgB++MMfolKp+O53v6vcIbXZbNx+++2jnutrX/saS5cuZefOnahUKgAWLFjAu9/9bvbs2cOWLVvGfT1LliyZ9DW/973v5ctf/vKkx4lrm8w5MudcqTknFAphNpvHPG6xWCR4nONknpF5Rr7bzAwJHq8Bdrt91J3Z6upqADZs2KA8ZrFYKCwspK+vT3nsd7/7HY888ggf+9jHWLNmDW63m507d/KJT3yCH/zgB2g0mvM+n8/n47HHHuPf/u3fznu3aire8Y53KP+v0Wh4+9vfrqR3tLa2EggE+Mu//MtRv3PTTTfx9a9/nYMHD1JRUcHixYv51a9+hc1m4/rrr2fhwoVTfv6p5LNP9fybNm1S/t9kMlFaWjrqfe7r6+PRRx9l//79eL1eJW3m3Anv6NGjrF27Vplcs+c9N/UmEolw6NAh7rvvPlKplPL4vHnzsNlsHD9+fMIJ9he/+MWkr9lqtU7483NTa1Qq1bh/R8TcJnOOzDlXas4BlC+T58pkMud9XMwdMs/IPHMl5xnxJxI8XgPO/UcJoNPpAMbcrdXr9cRiMWDkg/fzn/8873//+7nrrruUYxYsWMBf//Vf8/vf/553vvOd532+b37zmyxcuJBVq1YRCoWAP6UNhEIhcnNz0WrH/6un0+nIz88f9VhRUZGSxhAMBgEoLi4edYzNZhv18//3//4f+fn5/OAHP+ArX/kKpaWlfOQjH+Fv//Zvx33uCzHV87/1fdbpdMTjcWDkbtydd95JOBzmk5/8JFVVVeTk5PDYY4/R29ur/I7X66WqqmrMGM7d6S0UCpFKpXjkkUd45JFHxhx77vnOZ9GiRZO+5ony/ru7u/mzP/sz5c9Op5M//OEPk55TzD0y58icA5d/zoGRv2vZa36ucDg85u+hmFtknpF5Bq7MPCNGk+BRnJff78fv94/5R7dw4UI0Gg2dnZ3j/m5bWxtvvPEGq1evHvOz1atX8/jjj0+4A14ikSAYDI6aZH0+nzKBFhQUKI+dKzsBZ3/PbDZz//33c//993P69Gl+9KMf8YUvfIEFCxacd2wX6lKcv6Ojg5MnT/Ktb32LG2+8UXk8Go2OOs5ms523MPzcx8xmMyqVio9+9KOjzpU12Z216aZ22O32UXf4LvbOrLg2yZwzOZlzxqqtraWpqWnM42fPnpXWQGIMmWcmJ/OMmIwEj+K8CgsLycnJ4cSJE7znPe9RHj958iSpVAqn0znu7/7Lv/zLmDvBX/rSlzAajdx7773U1dVN+vzPPfecUheQSqX4wx/+wPLly4GRVIXCwkJ++9vfjrpD+Mwzz6BSqVi5cuWY89XV1fHZz36WX/ziF7S2trJ69WrlLmX2Ttl0nO/8U5G9G5odC0BPTw+HDx9WUnAAli1bxk9/+lPC4bByt2/fvn0MDg4qx+Tm5rJ8+XJaW1upr6+/4Ncw3dQOvV5/Uc8rBMicc6FkzhmxZcsWfv3rX4/aOOfIkSP09PRMmMomrk0yz1wYmWfE+UjwKM5LpVLxgQ98gB/96EeYTCbWrl2L2+1mx44dVFRUjPpQvu2223C5XDz33HPA+VMELBYLubm5SpH0RHQ6Hd/+9reJxWKUl5fz05/+FLfbzUc+8hFgpE7gE5/4BF/84hcpLCzkhhtu4OTJkzz22GNs3bqViooKAG699Vbe8Y53sGDBAjQaDbt370an07Fq1SoA5YvGT37yE2688UaMRqMy+S9evJj3vOc9fOlLXxp3nJOdfypqampwOBx87WtfI51OE4lEeOyxx8bs4nbbbbfx5JNPcscdd3DHHXcQCoXYsWOHcqcy67777uO2227jnnvu4aabbsJisdDX18f+/fvZunXrhO//5Qz8zp49O2oXtjNnzvDss8+Sk5MjX/AEIHOOzDkX553vfCd1dXV88pOf5N577yWVSvGVr3yFlStXcv3110/7/GJukXlG5pmL9eyzzwIj32dSqZTy5/r6+glvOsxFEjyKcW3fvh2r1cru3bv5wQ9+QEFBAatWrWL79u3k5uYqx6XT6VFFzNOl0+n4+te/zhe+8AXOnDlDeXk5jz32GNddd51yzAc/+EG0Wi1PPPEEu3btoqioiNtvv51t27Ypx6xYsYLdu3fT3d2NWq1m4cKFfOc731Em1sWLF7Nt2zaeeuopvve971FaWqrU6KVSqUm3bp7s/FOh1+vZsWMHDz74IHfffTelpaXceeedvPLKK5w4cUI5zm638/jjj/PQQw9x9913U1lZyQMPPMBXv/rVMWN68skn2bFjB5/97GdJJBI4HA7WrVt33rqCK+W3v/3tqJ3sdu/eze7du6UuUowic47MORdKq9Xy+OOP8/DDD/PpT38alUrF29/+dv7lX/5FNswR5yXzjMwzF+Puu+8+758feeQRtm7dekXGMFuoMlPpiCrEFbJjxw7+67/+i8OHD8/0UIQQ1wCZc4QQl5vMM2Iuke2FhBBCCCGEEEJMSoJHIYQQQgghhBCTkrRVIYQQQgghhBCTkpVHIYQQQgghhBCTkuBRCCGEEEIIIcSkJHgUQgghhBBCCDEpCR6FEEIIIYQQQkxKO9MDmM0CgcAFHZ+fn08wGLxMoxGzgVzjue9Cr7HVap32c8pcI95KrvHcJvOMmA3kGs99l2OukZXHS0itlrdzrpNrPPddDdf4ahijmB65xnPb1XB9r4YxiumRazz3XY5rLH9rhBBCCCGEEEJMatamrf7617/m4MGDnDhxgjNnzpBIJHjkkUfYunXrBZ0nnU7z5JNPsmvXLjo6OsjNzWXt2rVs376d6urqyzN4IcRVJ5XKcPQYRGMxjIYMDctAo1HN9LCEEEIIIWaNWRs8fvOb36Snpwer1Yrdbqenp+eizvP5z3+en//858yfP58PfvCD+Hw+nnnmGV5++WV+9rOfMX/+/Es8ciHE1WbP3gzf2JHB6wUYBMBmg3u2wZbNEkAKIYQQQsAsTlt96KGH+MMf/sArr7zCrbfeelHneOWVV/j5z3/OqlWr+NWvfsV9993Hv/3bv/Hd736XwcFB/vVf//XSDloIcdXZszfD/Q9kA8c/8Xrh/gcy7NmbmZmBCSGEEELMMrM2eNywYQNOp3Na53jqqacAuOeee9Dr9crj69evZ9OmTbz++uu0tbVN6zmEEFevVGpkxXEi39yZIZWSAFIIIYQQYtYGj5fCq6++Sm5uLitWrBjzs02bNgHw+uuvX+lhCSFmiaPHGLPi+FYez8hxQgghhBDXullb8zhdw8PDeL1eFi5ciEajGfPz7GY57e3t454jPz//gre4vRS9mMTsJtd47ojGYmRrHCc+Lg+r1XDZxiFzjTgfucZz25W+vjLPiPORazz3XeprPGeDx3A4DIDJZDrvz7OPDw6O/8XxQhunWq3WC27CK64uco3nFqNhaumoRsMQgcDweX92KSZlmWvEW8k1ntsu9PrKPCMuB7nGc9/lmGvmdNqqEEJMpGHZyK6qE7HbR44TQgghhLjWzdng0Ww2A+OvLGYfH29lUggx92k0Ku7ZNnErjrvvUkm/RyGEEEII5nDwmJubi81mo7u7m1QqNebn2VrHbO2jEOLatGWziocfVI1ZgbTb4eEHVdLnUQghhBDij+ZszSPAmjVr+M1vfsOhQ4dYvXr1qJ/t27cPYMzjQohrz5bNKjZtHNlVNRrLw2gYomEZsuIohBBCCHGOObHy6Pf7aWlpwe/3j3r8/e9/PwDf+MY3iMfjyuMHDhxg3759rF69mnnz5l3RsQohZieNRsWKRhU3vcvAikZJVRVCCCGEeKtZu/L41FNPcfDgQQDOnDmjPPbaa68BcOONN3LjjTcC8JOf/ISdO3dy1113sW3bNuUc69at433vex9PPfUU733ve9myZQs+n49nnnkGk8nEv/7rv17ZFyWEEEIIIYQQV6lZGzwePHiQX/3qV6MeO3ToEIcOHQLA6XQqweNEHnzwQerq6ti1axc//vGPyc3N5YYbbmD79u2y6iiEEEIIIYQQU6TKZDJTa3R2DbrQ3jfSL2fuk2s8981E/zWZa8RbyTWe22SeEbOBXOO5T/o8CiGEEEIIIYSYERI8CiGEEEIIIYSYlASPQgghhBBCCCEmJcGjEEIIIYQQQohJSfAohBBCCCGEEGJSEjwKIYQQQgghhJiUBI9CCCGEEEIIISYlwaMQQgghhBBCiElJ8CiEEEIIIYQQYlISPAohhBBCCCGEmJQEj0IIIYQQQgghJqWd6QEIIcRskEplOHoMorEYRkOGhmWg0ahmelhCCCGEELOGBI9CiGvenr0ZvrEjg9cLMAiAzQb3bIMtmyWAFEIIIYQASVsVQlzj9uzNcP8D2cDxT7xeuP+BDHv2ZmZmYEIIIYQQs4wEj0KIa1YqNbLiOJFv7syQSkkAKYQQQgghwaMQ4pp19BhjVhzfyuMZOU4IIYQQ4lonwaMQ4prl81/a44QQQggh5jIJHoUQ16yiwkt7nBBCCCHEXCbBoxDimtWwbGRX1YnY7SPHCSGEEEJc6yR4FEJcszQaFfdsm7gVx913qaTfoxBCCCEEEjwKIa5xWzarePhB1ZgVSLsdHn5QJX0ehRBCCCH+SDvTAxBCiJm2ZbOKTRtHdlWNxvIwGoZoWIasOAohhBBCnEOCRyGEYCRQXNEIVquBQGB4pocjhBBCCDHrSNqqEEIIIYQQQohJSfAohBBCCCGEEGJSEjwKIYQQQgghhJiUBI9CCCGEEEIIISYlwaMQQgghhBBCiEnJbqtCiGtaMpnE6/Xi8XjweDw0NDRgt9tnelhCCCGEELOOBI9CiGtKJBLB6/XidrvxeDz4fD7S6TR6vR673Y7FYpnpIQohhBBCzEoSPAoh5rRQKKQEim63m1AoBIDJZMJut1NbW0tJSQkFBQWoVCqsViuBQGCGRy2EEEIIMftI8CiEmDPS6TR+v18JFD0eD5FIBIDCwkLKyspobGzEZrNhMpmU3xscHKS5uZne3l6WLl1KUVHRTL0EIYQQQohZS4JHIcRVK5FIjKpX9Hg8JJNJNBoNNpuNBQsWYLfbsdvt6PX6Ub/X1dVFT08PLpeLrq4ufD4f8XgcjUbDpk2bZvBVCSGEEELMThI8CiGuGsPDw6NWFf1+P5lMBoPBgN1uZ/ny5djtdoqKitBoNMrvZTIZvF4vvb29uFwuPB4PwWCQoaEhkskkOTk5LFq0CLPZTGNj4wy+QiGEEEKI2UuCRyHErBUMBkfVK4bDYQDMZjMlJSXU1dVRUlKCxWJBpVKN+t3BwUFcLhcul4ve3l5isRjRaJRMJkM8HsdgMDB//nwKCgrw+/2cOnWK3t5eMpkM7373u2fi5QohhBBCzGoSPAohZoV0Oo3P5xu1shiNRlGpVBQWFlJeXk5JSQk2m428vLwxv59IJHC73UoqajAYRKVSYTAYyGQyyo6qJpOJ0tJSYrEYTU1NvPTSSyQSCQoLC2lsbGT9+vUz8OqFEEIIIWY/CR6FEDMiHo+Pqlf0er0kk0m0Wi02m426ujrsdjs2m21UvWJWJpPB5/Mpq4sej4d0Oo3ZbMZsNmMwGAiHw0QiEYxGI3V1dej1es6ePctvfvMb+vr60Ov1FBcXE4/HaWlp4eWXXyYcDvOpT31qBt4RIcRcl0plOHoMorEYRkOGhmWg0agm/0UhhJglJHgUYgrkA3/6xqtXNBqN2O12GhsblXpFtVp93nOcLxVVp9NRWlrKkiVLiMVieDweXC4Xer2eqqoqrFYrLpeLZ599ltbWVhKJBHq9XlnpPHr0KMPDw6RSKdRqNX6//wq/M0KIa8GevRm+sSOD1wswCIDNBvdsgy2b5fNECHF1kOBRiEnIB/6Fy2Qyo+oVPR7PuPWK+fn5455nvFTU4uJirrvuOiwWC4ODg3R2dtLZ2YlOp6OiooL6+npcLhe///3vOXnyJAMDA2QyGVQqFdFolGAwSDweR6VSodfrsVqtlJWVUVNTwx133HGl3iYhxDViz94M9z+QGfO41wv3P5Dh4Qfl80QIcXWQ4FGICcgH/tSkUqkx9YqxWAyVSkVRUREVFRVKvWJubu6455koFbWsrIwVK1ZgNpvp6+ujra2No0ePotVqKS8vp7a2Fq/Xy759+zh06BD9/f1KgBiLxYjFYqRSKQwGA3l5edTU1FBSUkJlZSUrV66krq4Op9NJcXExgUDgCr57Qoi5LJUauQE5kW/uzLBpo2S0CCFmPwkehRiHfOCPLx6Pj+qt6PV6SaVSaLVa7HY7ixYtUuoVdTrdhOeaKBV1zZo1lJWVodPpaG9v5+TJk7jdbtRqNQ6Hg/nz5zM0NMTLL7/MwYMHcbvdRKNRkskkqVSKdDqNSqXCbDZTWlpKVVUV+fn5OJ1O5s+fT01NDZWVleetqRRCiEvh6DH+mLkyPo9n5LgV0ilICDHLSfAoxDjkA/9PBgcHlUDR7XYrK3M5OTnY7XZWrlyJ3W6nsLBw3HrFrMlSUcvKyrDZbMTjcTo7O3nllVeUFhq5ublYrVYSiQT79u2jqamJnp4ewuEwiUSCdDqNRqNR+j7Onz+fiooKTCYT+fn52O12ampqqK6uHrMCGolE6Orqora2dlSPSCGEmA7fFMuop3qcEELMJAkehRjHtfqBn8lkGBgYGFWvODg4UutpsVhwOBwsWbIEu92OxWKZ0vnOl4pqMplwOp2sWLECh8OBwWBQAsZjx47R29tLOBxGp9Oh0+kYHh6mubmZlpYWurq68Pv9xONxALRaLfn5+VRWVlJfX09FRQVarZZ0Oo3FYqGmpoaampox4x0eHqajo4POzk76+voAyMvLw+l0XuJ3VQhxrSoqvLTHCSHETJLgUYhxXCsf+KlUiv7+/lH1ivF4HLVaTVFREVVVVUq9Yk5OzpTOOVEq6urVq3E6nUogl0gk6Orqor29nebmZvx+P2q1WunNGAqF6Onpoa2tDa/XSywWI5PJkJOTQ3l5OfX19axatQqHw8HQ0BDhcJjc3Fyqq6upra2lqKhozNg6Ozvp6OhQUmBLS0tZv349lZWVlJaWSs2jEOKSaVg2ssnaRJksdvvIcUIIMdtJ8CjEOObqB34sFsPr9SqBotfrJZ1Oo9PpsNvtyqqizWZDq53aFDHVVNRsSmsymaSjo4OTJ09y8uRJ/H4/yWQSGFlFTKVS9PX10dLSotQxAphMJpYsWcLGjRtZv349VquVrq4ufD4ffr+fqqoqNmzYgMPhQKX6Ux1qOByms7OT9vZ2vF4varWasrIyNm3aREVFBQaD4RK/y0IIMUKjUXHPNs67+VrW3XeprrnaeSHE1WlawWMkEiEQCFBQUDCqfigcDvPd736XM2fOUFZWxj/90z9RUVEx7cEKcSXNlQ/88eoVc3NzsdvtrFq1ipKSEqxW66T1ilmTpaI2NjZSWlo6KihLpVKcPXuWQ4cOcerUKbxeL/F4HJ1Oh9lsBqC/v5+zZ8/S29tLJBJBrVZjMplobGzkz//8z7nhhhtIJBK0tbXR0dFBd3c35eXlLFu2jPLy8lG1iqFQiI6ODtrb2/H5fGg0GpxOJ5s3b6a8vFw2yRFCXDFbNqt4+EHOafs0wm4f+RyRXbuFEFcLVSaTmXg7yQl8/etf5/HHH+fnP/859fX1wMgujO95z3toa2sje+qioiJ+/etfU1xcfGlGfYVcaOqa1WqVdLc5aHSfxxGz9QM/k8kQCARG1SsODQ0BkJ+fT0lJCXa7fcr1iufKpqL29vbS29tLNBpFp9PhcDgoKysblYqaFY/HOXbsGEePHuXUqVOjgkyTyYRKpcLj8dDW1kZfXx+RSASNRkN+fj4rVqzgr//6r7nxxhvxer20trbS3d1NJpOhtLSUefPmUVVVNSoIHBgYUALGQCCgtPGorq7G6XSOu/NrdgydnZ2sWLGC2traKb8vVqv1gt7H85G5RryVXOO5KZXKcPQYRGN5GA1DNCyb2m7dMs+Iy0Gu8dx3odd4KnPNtFYeDxw4oNQcZT399NO0traybt067rjjDvbu3csPf/hDnnjiCf75n/95Ok8nxIzYslnFpo1c1Af+5ZZMJkfVK2ZX89RqNcXFxcybN0+pVzQajRd07olSUevq6sakogKk02k8Hg8nTpzg2LFjNDU1EQ6HUalU5Ofn43A4SCaTyjHZGka1Wk1hYSF/9md/xi233MLGjRvp7++nra2N3bt3k0gkKC4uZtWqVWN2SvX7/UrAGAwG0el0VFRU0NjYSFlZ2bipt9nzd3R0EA6HSaXS9PZqQGUgGMrMmmsshJg7NBoVKxrBajUQCAzP9HCEEOKCTSt47O3tZdGiRaMee/7551Gr1Xz5y1/G4XCwceNG9u7dy549eyR4FFet2fKBH41GR9Ur9vf3k06n0ev12Gw2li5dit1up7i4eMr1ilnZVNTe3l5cLhdut1tZJSwrKztvKmomk8Hv9+NyuWhqauLIkSN0dnYyNDSEXq+nqKiIiooKYrEYLpeL48ePEwwGicViaDQaiouLaWhoYOvWraxdu5ZIJEJrayu7d+8mEolgsVhYsmTJmJ1SfT4f7e3ttLe3Ew6H0ev1VFZWsmrVKsrKysZtteH3+zl79iwnT55UVjoTiQSnTw9w9FiIaDSEyTxIsf3j2GxwzzZm3eqyEEIIIcRMmVbwGAwGx6SpHT58mIULF+JwOJTH6urq2Ldv33SeSohrUigUGlWvGAwGgZF2Ena7XVlZtFqtozaImarBwUElWHxrKupbd0U9d0zZ1NU333yT5uZm+vr6iMfj5OTkUFhYSElJCYFAQEkfjUajJJNJtGq/yaEAACAASURBVFotJSUlLFq0iBtvvJH169djNBppbW3l//7v/5SdUufNm0dNTY2S6p7JZPB6vbS3t9PZ2Uk4HMZoNFJZWcnatWspKys7b71mPB6nra2NN998k9OnT9PX18fAwADJZJJ4PP7HldIYrW1JMpkkKrSkGdm4x+sdqXd9+EEJIIUQl0Z2M7BQKHTBpQNCCDEbTCt4tNlseDwe5c/Nzc0EAgFuvvnmUcddzJdaIa412VW8c+sVh4dHVjkLCgpwOBw0NDRgt9sxmUwX9RznS0WFkX/L46WiDg8P09fXR29vL11dXZw9e5bu7m4GBgZIpVJKIJtMJvH5fJw6dYpIJEIqlUKtVqPRaHA4HFRXV7Nq1Squv/56bDYbPT09vPbaa/h8PvR6PVVVVaxfv57S0lJUKhWZTAa3260EjENDQ+Tk5FBVVUVlZSUOh2PUOCORCD6fj0AgQGdnJ6dPn6a9vZ3+/n4GBwfRaDRkMhll5VSr1ZJIJHH15qDVmdDrqjHm1pNn2jzqPfvmzgybNkoKqxDi4mTbDfX09NDX10cymWT+/Pls2rRppocmhBAXbFrB46JFi9izZw9NTU0sWrSIJ554ApVKxQ033DDquI6ODux2+7QGKsRck0wm8Xq9SqDo8XhIJBKo1WpsNhu1tbVKveLFtpI4N610qqmo8Xgct9uNy+Wiu7ubrq4uPB4PgUCAUCiESqXCaDSSn5/P0NCQUnOYDcwMBgNGoxGDwYDVamXRokVs3LiRefPmMTAwQGtrKy+//DIajWbMTqnpdJq+vj46Ojro7OxkeHiY3NxcKisrqa6upqSkBJVKxeDgIN3d3fh8PqVNh9frpaenB7fbzcDAANFoFLVaTW5uLg6HA4PBQCqVYnh4GLVajdlsxmCs4WzbUozGZWh1Red9Dz2ekXrXFY0XdQmEENeY7Opid3c3PT09hEIh1Go1JSUlLF++nPLycubNmycblQghrkrTCh4/8pGP8MILL/A3f/M3mM1mgsEgixYtYt26dcox2ZWIm266adqDFWKm/GmHvBhGw8VtphKJREbVK/p8PqVe0W63s2zZMqVecbyavam40FTUVCqlpKH29PTQ0dHBwMAA4XCYcDhMLBZTVgLVajVDQ0N4vV4SiQQGg4H8/HyKi4tJpVIAaDQaqqurWblyJUuWLCGdTtPe3s6zzz5LOp2mrKyMjRs3KjulptNpent76ezspKOjg2g0islkorq6mqqqKgwGA36/n+7ubo4dO4bP5yMajTI8PMzw8LCyu2x/fz+pVAqDwUBRURElJSWo1Wqi0SihUIh4PE5BQQGrV69m+fLlLF68mL379Ox/dfINp33+i74cQohrwPlWF7Oti1atWkVpaamy23M6nSYWi83wiIUQ4uJMK3hsaGjgP/7jP/j+97+P3+9ny5Yt3HvvvaNSyf73f/+XvLw8rr/++mkPVoiZMLpVxyDAlDZTGa9e0WQyYbfblZXFgoKCaaV2J5NJ+vr6ppyKmslk6O/vVwLG1tZWAoEAkUiEeDxOIpEgmUySSCSUFbxwOEw6nUaj0VBYWEhpaSkWi4VEIvHHnUpTlJaWsmDBAlauXEleXh4ul4uXX375vDulZgPW7ApjLBZT0l/z8vKUzXvOnDlDMpkkFouRTqdRqVTEYjElAPf7/aTTafLz81m8eDFlZWWjVnRVKhVlZWWsXbuWxsZGqqqqRs1PRYVT61RUVHjRl0cIMQdNtLrY2NiI0+mkoKBg1O8EAgGam5s5fPgwFouFD3zgAzM0eiGEuHjT6vM410lPJLFnb4b7Hxj/n8jDD470ekyn0/j9fiVQ9Hg8RCIRYOTvxbn9FS+2XjFrslTUsrKyMamowWBQWYlsb2/H6/Uq/R+1Wi3pdJpMJkNPTw8+n4/BwUHi8Th6vR6z2ayM32KxEI1G8fl8xGIxcnJyKCsrY/Xq1djtdgYGBmhvb1d2Sq2pqVF2Sk0mk7hcLqWtxsDAACqVCpPJhF6vJ5lMkk6nSSaTqFQq1Go16XSaRCJBJpOhr68Pj8dDKBQinU5TXFxMbW0tZrOZgYEBent7CYfD6HQ65s+fT319PY2NjRQWjh/5pVIZbrl1dA/Pt7Lb4amfqsZdaZb+a+JykGs8+0y0uuh0OketLmbFYjHa2to4cuQIb7zxBq2trfj9fhwOBz/72c+m/Nwyz4jLQa7x3Dfr+jwKMZelUiMrjueTySRIJvt56Etuhoe8+Hxeksmk0n5iwYIFSrB4bhP7izU0NKQEi1NJRR0cHKSrq0tZ3evr6yMcDpPJZNDr9eTl5WGxWOjr6+P06dNKMKlWq8nPz6e6uhqHw6HUW8bjcQYGBujr6yORSFBYWEhDQwPV1dUkEgk6OjpoaWkZs1NqMpmkvb2d3//+9zQ3NyurotldWXNycpQUXbVarQSOGo2GVCpFIBBQWpJka0GXLVuGTqfD5/PR0tJCPB7HYrGwePFiGhoaqK+vn/J7rtGouGcbE94guPuu8QNHIcTcdW5Wx1RXF2HkBp/L5eLIkSM899xzNDc34/f7lRKAvLw8nE7nDLwiIYSYvksWPGa/6MXj8XGPKSsru1RPJ8Rld/QYyopUOj1MMuklmfCQTHpIJX1AhqGwgc6uEjZuWI7dbqeoqGha9YpZk6WilpaWYrfblRTMWCxGR0eHUjvY3d1NMBgkk8mg0WiUtM5EIsGJEyc4dOgQbrebRCJBTk7OqLqc3NxcZeUvGo3icrkIhULk5uaycOFCli5dilarpa+vj8OHD4/aKTU/Px+v18vrr7/O6dOn6ejoYHh4mLy8PCWoNplMygpjPB5XaiWzK4R9fX20tbXh8XiUGsl58+ahVqvp6+vj6NGjZDIZnE4nW7ZsYcWKFdTU1Fz0e71ls4qHH+Sc1OQRdvtI4ChtOoS4dlxI7eJbhcNhDhw4wNNPP83p06fp7+8nkUig1WoxmUxUVFRQW1tLTU0NK1euvMKvTAghLo1pB48vv/wy3/nOdzhy5AjJZHLc41QqFSdPnpzu0wlxRQSDQY4d72No0E0y6SGdCgOgVpvQ6uwYDAvQau2oNfnU1KpZunR6AcZUdkV1OBwYjUZgJLg8d5Ob9vZ2gsEgiUQCjUaD2WxWgsy2tjYOHTrEb37zG3w+n1K3uHLlSmpqarDZbMour3l5eSQSCWUMqVSKkpISNm7cSF5eHuFwmNOnT6NWqykuLmbhwoUYDAa8Xi+//OUvcblcSjpqUVERtbW1FBUVodfriUQiJJNJBgcHKSgowOl0kpeXRzQapb29nVdffRWPx4NaraayspL6+npSqRTd3d0cOXIEnU5HTU0NGzZsYOXKlROmo16oLZtVbNrIHzdFysNoGLqoTZGEEFeXi11dzAqFQuzfv5/f/OY3nDhxAr/fr2zcZTabsdvt1NTUUFpail6vp7Ozk+eee47Dhw/zH//xH1fwlQohxKUxreDx//7v/9i+fTvpdBqr1YrT6SQnJ+dSjU2IKyKdTuPz+UbVK0ajUTq7IJWyotM50eaUoNXZUKvzxvz+xW6mMlkqallZGfn5+coYvV4vp0+fxuVy0draqmxmo1KpMJvNSjsLg8HA66+/zrPPPktzczORSASDwUBVVRVbtmyhtrYWvV5POBxGq9VSVFSESqXC7XZz/PhxQqEQ+fn5NDY2YrfbicfjtLa2Eg6Hyc3NVVYmXS4XJ06cYHBwUKnvzM/Pp6KiQtn0BkCn01FUVERxcTGFhYWk02lcLhfHjx+npaWFQCBAbm4udrudpUuXMjw8TE9PD21tbUoQ3NDQwLJly5Tg+XLQaFSsaASr1UAgMHzZnkcIMbNCoZCy0Y3b7b6g1cVkMonb7ebIkSP89re/5dixY/j9fjKZDDk5ORQXF1NcXExpaSnFxcWYTCY6OzvZt28fPp+PVCqF1Wpl3rx5V/hVCyHEpTGt4HHnzp0APPTQQ2zdunXULoZCzFbxeHxUf0Wvd6ReUavVKmmhdrudwsJiDh/TTbqZSsOyqT3vuXe4e3t7GRgYAFBW8MrKypRU1EwmQyAQ4M0336S3t5e2tjb6+/sZHh4JavLy8igpKaG6uhqbzYbH42Hfvn388pe/pKenR9mBtKGhgdWrV1NdXY3f71c2ybHZbDidTnw+H8eOHcPtdmMwGHA6ndTV1RGJRGhubuaNN95ApVJRWFhIUVERZrOZaDSK2+3G7/eTTCYxGo2jfp798lRcXExRURGpVIqenh66urp44YUX6OvrY3BwEJPJhMViobi4mEAgQGdnJ+l0GrvdzoYNG1ixYgW1tbUyrwghpmW6q4uBQACXy0VTUxPPP/88J0+eVHZ6zvaRLS4uxmKxkJ+fj9lsxuPxcOTIETweD5lMhry8PMrLy7FY8unri3LseIBDhy+u7ZMQQsykaQWPHR0drF69mltuueVSjUeIS254eHjUqmL2LrHRaMRutysrbEVFRWMClXu2Tbzb6kSbqUyWirp8+fJRqaihUIjm5mZlR1SPx0M4PJIuazQasVqtNDQ04HQ60Wq1HD16lF/+8pecPHlS+TJUVlbGzTffzLp16zCZTLhcLqLRKH6/n8rKSiwWC8FgkMOHD9PZ2UkoFCInJ4eCggISiQRNTU0kEgmMRiPz5s1j5cqVGI1G3G43LpeL06dPMzw8jNlsxmazMX/+fKUVSPbL07lf1F577TU6OzuVQNNgMGAymTAajQwMDODz+dDr9VRWVrJp0yYaGhpwOByX6MoLIa5V01ldjEQiyrzd3NzMa6+9RlNTk9KbNzc3l7KyMgoKCtBqtVgsFiWtv6mpiUAgQDqdxmg0UlxcjNVq/WM/2zj7D3hJJM0YjSV8cntmSm2fhBBiNplW8FhcXExubu6lGosQl0QwGMTtdivBYjYAy7acqKuro6SkREkJnciFbqZyvlRUrVaLw+Fg1apVOJ1O5XmzX1D6+vro7Oykp6eHYDBIOp1Gr9eTn59PXV0dTqcTm81GR0cHBw4c4IknnqCrq4toNEpeXh7V1dVKHWA25dPj8RCLxVi4cCElJSX09/fz6quv8uabbyp1hUajUak5TKfTFBYWsmbNGpxOJyqVirNnz7Jnzx6lhtHpdLJ69WoWL16M0+nEarUqwXYwGFS+qLlcLgKBAMPDw8pmODqdjkQioazyWiwWFi5cSENDA0uWLMFsNl+KSy+EuEade9Oqu7ubcDg85dXFVCql3CDLpsw3NTVx9uxZ+vv7lRtfDoeDnJwcdDodWq0Wg8FAIpGgtbWVUChEJpPBYDAoN9Q0Gg2JRAK9Xs9A0ExrmwmN1ggqPzAyN3q9I7s9P/ygBJBCiKvDtILHP//zP2f37t1KCpoQV1o6naa/v19ZWfR6vUodYGFhIeXl5UqPwou90THRZirZLyzZgHGiVNR4PI7b7ebUqVN0d3fT2dlJMBhUWnwUFBRQX19PRUUFpaWlJBIJDhw4wAsvvEBTUxOhUIhUKkVRURFr1qxhy5YtlJeXEwwG6e3tpampieLiYurq6sjJycHlcvHCCy/w5ptv0t/fj0qlwmKxUF5ejtlsRqPRoNfrsdls5ObmKoHn0aNHlfYXCxYsYOnSpSxdunTUv/F4PK4Eiz09PYTDYYaGhshkMkSjUWKxGMPDw4TDYWUTn6KiIjZu3EhjYyM1NTWj+lDOFvF4HGl9K8TV4dzVxb6+PlKp1KR9F7OyqajZ/7q7u+nu7qa1tVX5HMluenPuXKVWq0mlUkSjUfr6+kin0+Tl5bFw4UKl/RCM9M/VarVYrVZisTgv7g2TSvVDSoVGW4gxZ+mo8XxzZ4ZNGyWFVQhx6QwPD1+SHrFvpcpM45tSJBLhQx/6EHl5eTz00ENUVFRcyrHNOGmoO/vE43GlVjFbr5hKpZR6RbvdTklJCTabbdwvDdNRUFBAS0vLuKmoZWVlSipqKpXC4/EoO6K2tbURDAaJxWKo1WosFgsOh4Pq6mpKS0spKCjg6NGjHDhwgDfffBOXy0UsFsNoNFJSUsLSpUtZt24dRqORUCiEx+MhHo+Tk5NDXl4eOp2O/v5+Ojo66O7uZmBgQOk76XA4lH6N2S9FeXl5GI1GhoaGiMViZDIZZUWwrq6O8vJypV/iuSm42ZXNVCqFSqUik8kQDAYJhUL4fD6Gh4dJp9PK61u6dCn19fU4nc5L0sbkUkmn0/j9frxeL/39/Xi9XkKhEOvXr6eurm7K55Hm3eJykGs81kSri+Xl5ROuLkYiEXp7e5W52+fz0dPTQyAQoK2tTel1C6DX69Hr9UrPWavVSn5+Pmq1moGBAZLJJDqdTqntzt6Y1Gg0GI1GjEYjkUiEWCxGNBrF59fy4t5CjMZFGAy16HTlqNRje9E+9qiKFY3nDx5lnhGXg1zjuSUWi9Hb20t3dzcul4vh4WH+8R//8YJuik9lrpnWymNOTg5PPPEEt956K+9617twOp3Y7XZUqrGTn0ql4oc//OF0nk5cg4aGhsbUK8LI3z273c7KlSv/uLlN4WXbWGVoaEj50hEMBvH5fOdNRc1kMvh8PqVusaWlBb/fTyQSQaVSKXfE582bR2lpKaWlpXi9Xvbs2cNPf/pT2tralA1xrFYrS5YsoaGhgZqaGlQqFX19fRw5coRIJILRaFR6h8ViMXw+nzK2eDyubBGfyWQYHBykp6cHi8VCSUkJtbW1pNNpJa20tLSU8vJyqqqqKC8vV4LuaDRKa2urEjBGIhF0Oh25ublKHWRfXx8ej0dp9ZHdcGjZsmXU1dVRXFx83vlgJoRCISVI7O/vV7bUV6vVFBYWUlZWpuzqmv0SKYSYWRe7unhuKmo2WPT7/QQCAfr7++ns7KSvr49wOEw6nVbSULPp/JWVlTidTqV1UbbXrtVqVWq8M5kMarVaWZnMZDLE43GCwaDyGVFXV0dXTyUnmpyoVFoSCS9DQ68AGUzmLaPG7PNf9rdTCDGHZG/sZ7PAsht0FRQUMG/ePCoqKigoKLjkNwimFTy63W7+4R/+gfb2djKZDB0dHXR0dJz32NnyBVLMXplMhoGBASVQ9Hg8DA4OAiiBz6JFiygpKcFisVy2cUyUirpo0SJMJpOSihoMBnG5XBw8eJDW1lb6+/sJh8OoVCry8vIoLi6mpqZGWZHUarW8/PLL/OxnP+PkyZMEAgFSqRQWi4XS0lKlibRer2dwcBCPx8Pp06eVNNLCwkIlKMuunDU3N+NyuYhEIkowFI1GGRoawuFwsG7dOiorK0mlUvj9fkKhEDqdjrq6OqqqqpQNeLIpwNm6Re8fizwLCwux2+2Ew2E6Ojo4ePAgHo8HGNnIx+l0Mn/+fJYtW8a8efMu67WZqlgsRn9//6hgMRqNAiib/cybNw+bzUZhYeGoFVG9Xi/BoxAzZLzVRYfDwYoVKyZcXTw3FTW7q3M4HMbn89He3o7L5cLv9yvZEXq9HpPJpOw+XVFRgd1uZ2BggFOnTnHw4EFUKpVyM6+wsFC5g69Wq9FoNMrcmc2AqaiooKqqiqqqKsrKyhgaGqKjs4mA70VisTMkEy7S6WF0uooxwePFtn0SQlw7zl1dPPfGfmlpKevWrcPpdF72UsJpBY+PPPIIbW1tbNiwgQ996ENUVFRc0j6Px44dY8eOHRw5coREIsH8+fO57bbbePe73z2l33/11Vf5+7//+3F/vmvXLpYvX36phisuUCqVGlWvmE3DzDaYr6ysVOoVL2f/0KnsimqzlXD6jJHObhgMnSU//wwdHe2j7lxndy3NpmiWlpZSVFTEqVOn2LNnD0eOHKGzs5NUKqWsnNbU1FBQUIBGoyGVSjE0NMSrr76qbLJQUVHBxo0bWbBgAcXFxaRSKU6cOMH+/fs5e/ascjfcaDQqW8aXlpaydOlSKisrlYCvpaVF2dU020NSo9EwNDREW1ubEjDG43FlwweHw4HH4+HkyZM0NzcTCARQq9XKF6klS5awePFiysvLL2v/xcmMl34KKDWddXV1ymrBTI5VCDHWxa4uvjUVNRsoDgwMjAkWk8mkclOvtraWmpoaqqursVqtJBIJurq6OHnyJAcOHEClUlFSUsLKlSspKCggnU4r/5lMJnQ6nVLHrtPpsFgsSq26VqvF4/Gwd+9eWlpa6OrqIhweJB6DVDIPna4UnX4eObmNo17LhbR9EkJcO8ZbXbRardTW1uJ0OikpKbmibc2mFTweOHCAqqoqHn/88Utey/Tqq69y++23o9PpuOmmmzCbzfzud7/jn//5n+np6eFjH/vYlM+1Zs0a1qxZM+ZxaQlwZcViMbxerxIo9vf3k0ql0Ol02O12lixZgt1ux2azodVO66/mpM5NRc22szhfKmosFuPX/9PLd757GI+nk0S8m3QqiDEnxZrVeuqXFrBy5UrlC47D4SAYDLJ371527drFmTNnCIVCaDQaZadXk8lEJpNheHiYwcFBhoaGSKVSGI1GbDYby5cvZ9GiRcybN49wOExvby/Hjh3jzTffpK2tjaGhIbRaLWazmerqaoqKiqiqqmLhwoUUFBQoAeP+/fsxGAxUVlayZs0aysrKyGQyeDweDh8+rNT7wEjfx8WLF2M0GmltbeXll1/mzJkzDA4OotVqKSkpYcOGDTQ0NFBbW6t8SZoJ4XB41IpitvH2W9NPs61DJOtBiNnlYlcX37orajZDYnBwkN7eXmUTsmg0qtRkGwwGSktLqa6uZsmSJVitVoaGhpQA87XXXhs1zy1YsOCPm9zEUKlUpNNprFYrZrOZTCZDLBYDUPri5uTkoFar6ezsZN++fcqclMlk0Ol0FBYWsmzZMtasreOnu8rQ6crQaMfWFE3U9kkIcW2JxWLKPDdTq4sTmda3v3Q6zXXXXXfJA8dkMsnnPvc5VCoVP/nJT1i8eDEAn/jEJ7j11lvZsWMHf/EXf0F1dfWUzrdmzRq2bdt2SccoJpdNu8yuLGYDldzcXKVesaSkZFTLh8tlqruiptNp3G43zc3NdHV18eKL7TzzbJBMJgYqLRp1PoacJej0lRx/08Gtt5byti0jPRd/8YtfcOzYMXp6ekgmk+Tm5lJSUkJVVRVqtZpwOKyklubl5WGxWDCZTFRUVFBXV4fVaiWZTNLf38/Zs2d5/vnn6evro7e3l3g8jlarpaCggPnz51NQUIDdbqe6uhqLxUIkEqGrq4umpiaMRqOSNuVwOBgcHFR2Xu3t7VXGVlZWxrJly8hkMhw7doxf/vKXtLS0KDWVTqeTzZs3U19fT1VVFTab7YoHYvF4fNSK4lvTT4uLi6murqa4uJiioqJZtSGPEOJPJlpdLC8vx+FwnHd1MRAI0N3dTXNzM21tbUrdYiAQwO12EwqFiEQiwMgOp9lyAYvFQmVlJZWVlahUKkKhED09PRw7dozBwUHlhmE2YLRYLMpNqGzWR15eHqlUisHBQQKBgDJ36vV6EokE7e3thEIhwuEwoVBI+fnChQuprKyktrZWeW1arZZVqzJTbvskhLh2XOrVxWg0SkdHB16vl3e84x2XfLzTCh4bGhpobW29VGNRvPLKK3R2drJ161YlcAQwmUx8/OMfZ/v27fz3f/8399577yV/bnFxJqpXzM/Pp6SkRFlZvBI1ceOloubl5eF0OmloaKC0tBS9Xk9/fz+9vb0cOnSI1tZWAoHAHwMUFXv3mdHr56E3VKPVlaLTOlCp80gkehkefInt9x6kuvIUwWBQaQ9SUVGh9HLMtg0xmUxKj7C8vDzy8/MxmUzo9XoikQgnT54kmUwSjUaJRqMEAgGl56PValU2cbDb7dTW1mIymUgkEvT09NDS0kJubi6VlZVUVVVRXFyM2+2ms7OTAwcOjNqRsKGhAYfDwcDAAAcPHmT37t1Kz0iz2UxlZSUrV65k0aJFo17HlZBOpwkEAqOCxWxarqSfCnF1udjVxXA4zOnTpzlz5gxtbW3KRjeRSISBgQEGBwdH1SxarVYWLlyobHhTUFBATk4OWq2WUCjE8ePHGR4eJhqNKm2DsrunZlsWGY1GJYPDYDAQDofp6uri9OnTJJNJ5XksFotSU54NXBOJhJIKe91111FdXY3T6Tzv59xEbZ+EENeWiVYX169fT1lZ2QWtLsbjcTo6OpSU/Uwmc9l6aE8reNy+fTsf+MAH+PGPf8yHPvShSzUmXnvtNQA2bdo05mcbN24cdcxUtLe386Mf/YhoNEpZWRkbNmygsFAq06cju0J2bn/FeDyOWq1WPoSz9YpX6kv+VFJRLRYLAwMD9Pb28tJLLymb3GR3Oc3WOdbU1BAYcPCHvQ7yzPmkUhEiQ28w4PspkchRkkk3ZBKoVAacpQ7WrKnD4XCQTqeVLygmk0lp2RGPxzEajRgMBmWjnWAwiMlkoqCgQNkuOxgMMjAwQCQSQaPRkJ+fT1FREQsWLMBsNpNOp5X0rLy8PKqrq6mqqkKv1+NyuTh+/LjSe8xsNis1Q2azmc7OTl5//XUOHz6srEBarVYWLVrEmjVrmD9//iWvW57IROmnVquV0tJS6uvrsdlskn4qxFVgvNXFbBuNt64uZjMLzp49S3NzM+3t7Xi9XqVPbCwWIxKJMDg4SCKRULIv6upG5lu1Wq20xMj2VQyHw3i9XiKRCOl0WrmBl814yc/PJycnh/z8fCoqKnA4HAwNDeF2u9m/fz9+v1/pS1tVVUVFRQXpdBqPx0NnZ6eyo3VhYSGLFy9myZIlVFRUUFJSMqXMB41GxYpGsFoNBALDl/NyCCFmkXNXF7u7u/F6vdOuXczWa2f3rsjOmx6PR+nBvXnzZmw22yV9LdMKHpubm9m6dStf+tKXeO6559iwYQMlJSXjfsl7z3veM6Xztre3A1BVVTXmZ/n5+Vit1nF3dT2fp59+mqefflr5s9FoZNu2bXz4wx+e8jmuddFodEy9YjqdnpF6xayppqJmg8ojR47Q2tqK2+0mHA6TyWTIy8ujsLBQCS5LS0spLCwkmUzy+PeO4vM+TiRyiES8i0x6IcVhpgAAIABJREFUCJVKi0ZbTE7uSow5q9BqC1i9ZoiqykFisRjpdFrZrt3r9aLX65WNdHJzc5W+YEVFRSSTSVwuFydOnKC3t5dgMKhsplNWVqakp2brFN1uN2azWak5zG4hv3fvXoaGhtBoNKMC5Xg8TktLC//zP//DiRMncLvdZDIZioqKWLVqFWvXrqW2tpaysrLLfs3emn7q8/mUVLO3pp8WFhbOWD2lEGLqLmR1MRKJKO2W2tvbaW1tVb7cxONxkskk8XicwcFBJSBUq9Xk5OQoK3ql/5+9Nw9u+77PBh/c903cBwHwEO9DoiTLio86tuvEbppNuqnf/tM205m076aTTJrdbqabzrTd9m3f5o+3Td/3bdpOZ5rJNFOn7W6dJl7LceJLsSSLoihSJEESBHEQxEXc97l/sN9PAJ2kSEm0jGeGo7EFASB+wBef4znMZhQKBWKTAKCGrVgsolqtolar0WaSDeDYuaLVamE0GiESiZDJZLC+vo63336bmtyBgQF8/OMfh9VqRTqdxvLyMt566y2kUikIhUIYDAY8+eSTGB4ehtVqhUwme2ivfRdddHH0cdjbRWD33A0EAlhaWsLq6ipyuRwKhQLi8TjS6TQKhQIZHx4/fhwOh4PqrcMCp7Wf5MgbMDQ0RCHhwO3jOFqtFjgcDpaXl/d0v5///Odx/vx5nDt37pYN5LPPPotIJILFxcU73s/a2hreeecdPP3007BYLMhms7h48SK+8Y1vIBqN4g/+4A/w8ssv3/bfN5vNB+pedJSQy+UQiUTop12vyIxhTCYTtFrtA9sIsRzFUCiEUChEGzaZTAabzUbT7VarRR9Wr9eLUChEjZlYLIZWq6Utm9VqhUajQTqdhs/nw7vvvosLFy5gY2MD8UQW8XgTPK4WQvEApNLHIZGdAhct1OpbqFSCaNQjeO7ZGpSKEur1OprNJkVbDAwM0PaV0XVzuRxWV1exuLhIjSzbkOr1erjdbphMJnA4HCQSCVSrVahUKjidTqhUKhSLRYRCIWoE1Wo17HY77HY7tFotIpEI1tfXcfHiRXg8HorbMBqNGBsbw2OPPYbBwcE7DnkOCuZ+yujLsViMGntWgLEfvV7/wDadRxkf5bOmiw8XMpkMgsEggsEgwuEwNV4OhwN2ux0Wi6UjKofJAphBF3OnrlQqqFQqyGazKBQKZFAjkUig1WrR19dHBmPxeBwejwfhcBi1Wo3yZgUCARmPZbNZlMtliEQiKJVKWK1WaLVa6HQ6qFQqOpeYG6tEIiFn6qmpKSgUCszOztKQsVAoQKlUYmBggEzM9Hr9h/pz2j1nuuji/oLVqYFAAMFgkLSLTNLE2A77+Rw2Gg3E43EsLi5icXERXq8XmUwGtVoNpVIJpdJu/SmXyzE8PIypqSk0m00sLS0hFovh61//Oux2+6H+ngdqHr/5zW/uqwD94he/uKfbHVbzeDusrq7iM5/5DFQqFd59993bXsT9hmoy6uGHDWyV3q5XZDROtVrd0QDdL/707VAsFmmzeCMV1WKxwGq1QiqVkgNfIBCA3+9HJpNBvV6HQCCg5stut0Oj0YDP55OZz+LiIubn5xEKhZBMJokj7nK5cPLkKfy/rz6LXMGOem0L5fIKKuVl1GpbaDZzaDZLkIiFeP45OZzOXbfT/v5+GAyGDhOger2Ozc1NrK2tYWVlBZFIBNlslhpNRi3l8XjI5XKo1WpQq9UwmUyU98h+d6FQCLPZTL97o9FAKBSCz+fD1atXsbm5STpBo9GI8fFxHD9+HAMDA7fNRjso7kY/ZRrFDwv9dL+fY43mZufE/eKjctZ0sXcclWvMtouMjtq+XbRYLFCpVKjX66RNZKwCZmRTq9VQKBRoI8gMZpjMQSKRQKPRwGg0wmazwW63o9VqYWtrC6urq4hEIkT71+l0kEgkyGazdNZUKhWIRCIoFAqYzWZoNBo656VSKdG4KpUKJBIJbDYbuVmnUilcuXIFS0tLiEQiaLVaMBgMGB4exuTkJFwu132TXXTPmS6OArrX+OC403bRZrPta7tYr9fpHGXmiRsbG9jZ2SHqPofDIfNFuVyOkZERjIyMoFqtUnNZr9ehVqvhdDrxla98hVyi94K9nDUH4obdLwdT9iLncrlb/n0+nz9QEzM4OIjJyUlcvnwZfr8fLpfrnu/rw4h6vY54PN6xGarVauByuRRqbzQaodfrH7gpye2oqEz3Z7FYoNPpsLOzg0gkgnfeeQcbGxtIp9OoVCpEUxoeHobRaIREIgGPx0M+n4ff78f7778Pv98Pv9+PZDJJk2qLxYLnnnsOTzzxBDmQLi0tIRB8B698z4N6bXvXcRUccHlqCIVOCEUD+N3/fRwv/3L/LV0Co9Eo1tfXsby8DL/fj0QiQeYKvb29cDgcEAqFKBaLyGQyUKvVsFgs4HK5yGazWFlZod99cHCQJumxWAyhUAhzc3PweDz/kSOWA4fDgdlsxuOPP44TJ05gYGAAUqn0UK9PtVqlbQJrFrv00y66eLRwK+2iVCqFWq2GXq8Hj8dDNpvF/Pw8arUagF3mUaPRQLlcpqYunU4jmUzSZpHR+B0OB20Fe3p6YDAYkMvlEA6Hce7cOUSjUTQaDXJMlclkiMfj5B7I3KeVSiXJE7RaLT2/VqtFE3mVSgWDwUA6fL/fj9nZWXz3u99FNpuFUCiE2+3G448/jomJifvmKt1sNpFOp+nc1Ol0GBoaOvTH6aKLLu4v2MKFnZH3ql2sVCpIJpPULO7s7CCVSiGbzVJ9CoCWIOxMk8lkmJiYwOjoKADg6tWr+N73vod8Pk9u0yaTCUql8r7lPx7Jyo5FcPj9foyNjXX8XSaTQSqVwvT09C3+5d7BOmt2cR5llMtl0szFYjHs7OyQU53BYMDExAQMBgN0Ot0DL/ZbrRZSqRQ1i+1UVJbXxwwNWN6h1+ul4GcOhwOFQgGj0QitVguhUAgej4dCoYBAIECNMtPlpFIp+pCfOnUKJ0+exMzMDMRiMVGj3nzzTbJgB4CRYSk2/XY0mwMQiUcgEh+D2ay4pb16Pp/HxsYGlpeXSdNTLBZJj2i326FQKFCpVChgmlF/mVmOWCyGxWLByMgILBYLms0mtra2sLi4iEAgAJ/PR05/fD4fZrMZTz31FDWMt2pk7wV7cT8dGBigzWKXftpFFx9O3LhdZFmJIpEIYrEYAoEA5XIZ4XAYAChmSKfTkQFZKpVCIpFAJpNBqVSiBk8qlcLtdkOv10MqlUIul0Mul0OhUCCTySAUCuHdd99FNpsFh8Oh4Z9KpcLGxgauXr2KSCRCdFVmdMP02v39/dBqtajVashms4jH42g2m9QwisVirK6u4vXXX4fP50Oj0YBarcbo6CgmJycxMjICkUh06K9poVDoGLIlEgnU63VwOBxoNBpYLJZDf8wuuuji/uCg2sVisXhTk8gWZDwej8y/crkcyuUyJBIJ5YEXCgXI5XKMjo7i2LFj4PN34+G++93vIplMQiAQ0DCKbToNBgPK5TISiQQOQDC9LQ6tU2DB47FYDBwOB3q9HtPT0zAYDPu+r5MnT+Jb3/oW3nvvPbz44osdf3f+/HkAu9mN94p6vY6lpSXa1DxqyGazHfmKrOCXyWQwGo3o6+uD0WiEWq1+KBTCO1FRmdkLAGxvb8Pn8+FHP/oRBUGz4GWxWAybzQahUAhgN9+LUW2bzSbC4TC8Xi/C4TAKhQIEAgHlFk5MTKCnp4dc+V599VUyA6pWq7S9bHfSs1rtWFuX3tJenYmX2ZZxc3MT6XSazGl6e3uh0+no92dZYM1mE4VCAcViEXq9HqOjo7RdZNrO69evIxKJIBAIIJVKIZ1OQygUwmKx4KmnnsKpU6fgdrsPZbKUz+dvKna67qdddPFogm0X/X4/vF4vcrkcGo0GhEIhBAIBlEolBAIBNYlMNxiLxbC+vo7Z2VkqgMrlMjVGEokEbrcbFosFCoWCaFYsSiOTyRB9n2XKyuVy9PX1UVF07tw5or+3D6pOnjyJwcFBuFwuKBQKJJNJ+P1+rKysUMM4OTmJSqWCtbU1vP/++4jH4+BwOOjt7cULL7yA6enpQ9f/1Gq1mxgZ7PuIbQKmpqbIMI3P53fpgl10cYRxkO1iNptFKpWiRpFFDQGASCSCTqejMyiXy1FDWi6XUSwW0Wg0iJI6OjoKt9sNHo+HpaUl/NM//ROZhRkMBpw6dQrj4+MkfyoUCvB6vXj//feJeXE/arUDaR4BIJlM4o/+6I9w7tw5NJvNjr/jcrl4/vnn8fWvf31f0Rj1eh0vvPACotEoXnnlFQwPDwPYLW5ffvll+Hw+/Pu//zvRTVlosEaj6Xicubk5TE1Ndbxw9Xod//W//lf8wz/8A5544gn83d/93W2fx4dBH8C2Q9FolDaL7E3KdCRMr7hfR6fDAptqsxgN9hrpdDpYLBZYLBbIZDLEYjFEIhFsbGyQ+2h7+LNSqQSfz4dCoYBMJoNSqYROp6Ot4fLyMlZWVhCNRlGr1aDRaOB0OjE4OAibzYZms4mdnR3U63XkcjlUKpUO10+1Wg2z2YzBwUH09vZ2NKcM7dc4FovB6/ViZWUFq6uriMViqFarkMvl0Ov1MBqNEAqFqNfr4PF44PP5aLVa4PF4lDdpsVhgNpvB4XAQDofJDCiVSmF7exvpdBqZTAYCgQAWiwXj4+M4ffo0HA7Hga7JXuin7c6wHyX6aVeL1MVRwGFfY6a9Xl5exvr6On1XCIVCqNVq6HQ62Gw26HQ6ciZtNBrweDzweDzw+XxIpVIoFAqoVqtotVpkQsbkDjqdDjKZDLlcDqVSCRwOBwKBgHTRyWQSXC4XQqEQcrkcMpkM0WgUKysrHWwPqVSK3t5enD17Fk8//TSGhoag0+lQqVRI1769vY1WqwWj0QiVSkVmZBsbGygWi5DJZOjv78fExASmpqYO7fuPZRq3MzLYsFAgENC5yRgZt5MOdM+ZLo4Cutf4Z7ibdvFGh+VWq4VMJkMNItssVqtVALvnGKPns3O1VCrB5/NhYWEB4XAYxWKRNoN8Ph8SiYRqQy6Xi5WVlQ5Ndk9PDyYmJnD8+HG4XC4YjUZqGD0eD7a3tynTljWif/iHf7gvZthezpoDNY+5XA6f+9zn4PP5IBaLcfbsWdoahcNhnD9/HqVSCS6XC6+88sq+dIoXLlzAb/zGb0AgEOCll16CXC7HuXPnEAqF8OUvfxm/9Vu/Rbf95je/ib/6q7/CF7/4xQ4d5jPPPAMAmJ6ehtFoRC6XwwcffACfzweLxYLvfOc79HxvhaN40NZqtZv0iqw5YdoRple8H1ScveBuVFSLxQKtVkt0p83NTWxubiIWi6FQKNC2Sy6XU5iz3W6nRkalUiGbzeLq1auYnZ3FxsYG8vk8RCIRtFot6QnFYjHq9TqAXR0tc+ZjDWylUqHnNDIyAofDcdfYCpFIhMuXL2N1dRVLS0sIhULI5/NEP2VNOtOQcrlcon6ZTCY6FDQaDVG2gsEgbYjT6TRx3vl8PqxWK8bHx3Hq1Kk7vlfvhLvRT28sdj7q9NNuUdfFUcBBrzHTeXs8Hqyvr9Nkm8kVnE4nsVB0Oh2USiUymQyuX7+OlZUVbGxskO6GnaP1ep0aP5fLBafTSdFGzNWanXuNRoO2knw+nyI1WNSGz+dDPB5HuVwGl8uFSqXC+Pg4XnzxRXziE58gg69isUg6dTZxZwOtVCoFr9dL3zE9PT0YHh7G9PQ0+vv7D2XodSf6KdNYsvNzP2ye7jnTxVHAR/ka32m7yDZ5bLvYaDSQTqc7jMFSqRSdjQqFghpFNnxjg6OdnR2sra1hbm4OW1tbKBQKJAdgfzKjxVqtRgaLsVgMwO55Nz09jZMnT2JkZAQymQy1Wg0bGxu4cuUKVldXyVODy+XSssVms2F0dBSf/OQnb+shcyvcd8Ocv/mbv4HP58MLL7yA3//9379pu8i2kq+99hr+9m//Fl/5ylf2fN+PPfYY/vEf/xF/+Zd/iddeew21Wg39/f340pe+hE996lN7uo+XX34Z7777Li5duoRUKgU+nw+Hw4Hf/M3fxOc//3moVKp9/b4PAywbq12v2Gq1IBKJoNfrMTk5CYPBgJ6enj0FFN8vtFNRt7e3USqVOqioRqMR5XIZkUgEH3zwAVkIM3dRHo9HzqMOhwNut5t0mBqNhswZvv/97+P69etIJBIol8tExR0fH0dPTw8UCgVEIhE1RAKBAKlUCsvLywgEAmS/7nQ6MTo6CqfTeVdBcaPRQDAYxNraGrxeLxYXF5FMJgHsNqVut7uj4SqVSlCr1fT72Gw2eoxIJILV1VUqtPL5PPL5PHZ2dpDP58Hj8WC1WvHMM8/g5MmTMJlM+74WN9JP2baVw+FAq9V26adddPEIodVqIZvNYmdnB7FYDBsbG7tRQ//RmAmFQthsNnzsYx/D0NAQent7oVAowOFwkEqlsLKygnfeeQderxfxeBy1Wo0iHdi5IZfLYTKZiJUhFosRDAaxubmJlZUVcLlcis9oNBoolUo0/a7X69ja2kIikSCnaeYaqNPpcObMGfzSL/0SHn/8cTqH8/k8lpaWOhpGmUwGqVSKRCKBlZUV0odbrVa89NJLpI8/yHm2H/qpTqc7NH15F1108WBwu+2ixWLBmTNnYLVaIRQKqUFkTqfpdBrNZpN02TqdjoZnOp3uJpZaKpXC5cuXqWEsFotQKpVQKpUk55PL5ZBIJMjlcggEAjh//jwN9nt6evD888/j1KlTmJiYAJ/PR7PZxMrKCi5fvoz5+Xlsb28D2F1qMJbh0NAQBgYGYDabIZfLUalU7gtz7ECbxxdeeAGVSgXnzp277SFaq9Xw/PPPQygU4vXXX7/nJ/ow8DCmdNlslhrFSCRC0wKFQkH0U0bTeZhFf71ep3iMW1FRWY7N5uYmVldXsby8jFgshmw2i0ajAYlEAp1OB5fLBZfLhYGBAVitVqhUKnC5XFSrVayurmJ2dhazs7Pw+XzIZrPg8XhkkMMaTJPJBJ1ORxPgZrOJ1dVVXLlyBX6/H/l8Hmq1Gi6XCxMTE+QGejcwm+Tr169Ts8uo2cwyXiAQ0JZUr9dTdqTVaoVSqUShUMDW1haCwSDRCSqVCorFIhKJBDWMZrMZU1NTOHHixL50wnein8rl8o6N4keNfnqv6G4EujgKuNU1Zo6d7Voa1pilUilUq1VIJBLo9Xr09/djaGgILpcLAoGAGAhra2vweDwdzSKwS5mq1+totVrg8/lQq9Xo6+vD8PAwzGYz0uk0rl+/jlAohFwuBz6fT0UUi+pIp9Ok22FMimQyiXw+j3q9Dj6fD4PBgLNnz+Izn/kMTpw4QQ1jNpslSip7XiKRCLVaDbFYjEzSVCoV3G43JicnMTg4eM9D4DvRT1nu7l7op/eK7jnTxVHAo36N77ZdZBrk9q0ia+CY3wPbJrJlxu3qqGQySY1dKBRCrVaDVquF0WikwRqXyyVzL0Z1ZV4bPT096Ovrw4kTJzA0NAS5XI5MJoP19XV88MEHmJ2dJS14T08Pent7MTw8TG78Op0OrVYLsViMciZzuRx+/dd/fV+mOfd98xgOh/Hcc8/dcfomEAhw/PhxvPHGGwd5qEcSTIPXvllk7q9sa8WmCe0864eBG6mozEqd0T7Hx8fRaDTg8/lw8eJF0gAWCgWaXLMYCbfbjaGhIdL6sfvf3t7GxYsXcf78eSwsLNCHSiKRwGAwYHx8nPK52Bc6y1PMZrNYXl7G66+/js3NTeTzeWg0GgwNDWFqagpOp3NPRUaxWITP58PS0hLm5+fJeRAAGUcw4wetVgu32w2Hw9FBb0gkEvB6vQgGg/Q7cDgc5PN5xONx5HI54tE/++yztD2+G26knyYSCYoyYfTTrvtpF108GqjX69Q0tdOkWOFRq9VQq9XofB0fH4fL5YLNZqPsxXg8TpE+Xq8XiUSCIo3Y4IsxVsRiMXp7ezE0NITR0VEyaJidnSVzG4VCAbVaDZvNRlm5Pp8P9XodjUYDhUKBtqCFQoGydtnZ/4u/+Is4ceIEPWY2m8Xm5iY1jMVikczPMpkMMpkMeDwedDodHnvsMYyNjcFut99TI7cX+unw8PC+6adddNHF0cLttousZmMSps3NTcqLZ0wIi8WCsbEx6HQ6qNXqu5oRRqNRXLp0CdeuXUMoFCIjzsnJScjlcnJQZcsTdnbzeDzI5XLYbDaYzWaMjIygv78fcrkckUgEly5dolo6kUhQti4zSrTb7TAajRAIBMTuWFlZwdraGnZ2dpDL5UjzyJyzDxMHah7FYvGeJhapVOqB5wUeRbAJKvuJx+OkV9Tr9RgcHKTt4o0r8IeB21FRjUYjBgYGyAjn/PnzlLXIPqRsaj0yMoLBwUG43e6bphmFQgHz8/M4f/48Zmdnsb29jUKhAKFQCI1GgxMnTuDEiRMYHh6mqUr7oCKXy+HSpUu4cuUKNjY2UCgUoNPpMD4+TgHPezFJaDabCAaD8Hg8uHLlCrxeL+WUCQQCSCQSKBQK6HQ6uN1uuFwuahhlMhmq1SrC4TDef/99hEIh0gixLLSdnR1kMhmIRCKYTCY8++yzGBkZgdFovGOBcjf6qclkwtjYWJd+2kUXH3LcKu+r0Wggn8+TwUyz2UStVkO5XIZSqYRarSaWg8lkomZxaWkJ6+vr8Pl8SKfTKBaLEAgE4PP5NDFn20ZmEDY2NgaHw4FAIID5+Xn8/d//PRKJBJrNJiQSCYxGI5RKJbkIer1eclFlFvTJZJIcW9mG8dSpU/jkJz+Jxx9/nB47nU7D7/djc3MT29vblFFbKBRQq9VQKpVoYPjUU09RJMd+KKKMfrqzs0PnZ6FQANCln3bRxaOGVquFnZ0dahbj8TjVq2KxmLZ+zFiSOZ46nU7aKu61hmq1Wtjc3MTs7CwWFhYQiUTA4/HgdDrx9NNPQ6VSIZlMIhgMYnV1lXTfAoEAGo2G/DgUCgXFt4nFYiQSCfzoRz/CysoKgsEg0uk00WmfeeYZzMzMwG63U01bLBaxvLyMpaUleL1eZLNZlEolNBoNqhM5HA5kMtl98T85UPM4OjqKS5cuYXFx8aY8RobFxUVcunTpQNEaH1YUi8WOrWIymUSr1YJYLIbBYKAoE51Od19CPPeLW1FRm80mRCIRJBIJhEIhEokE3nvvPTJ4YVbqGo0G4+PjZCtsNptv+r2q1SquXbuGCxcuEBU1n893ZHudOnXqjgH3hUIB165dw+XLl7GxsYFSqQSdTofjx4/j+PHjcDqdex5U7OzsEB3A4/EgHA4jm83SNWJ2yv39/RgfH4fdbsfg4CBNxDc3N8nshtERuFwu8vk8kskkaXJMJhOeeeYZDA4OEp33RjD6aXuxw7Q2jH46PT3dpZ920cWHHO3NFqNJMXkCi3AwGAyQSqWIx+PIZrPURDJavM1mA4fDQTQaRSAQwFtvvYVgMEj5jMw0gbEkmI6RDfVGR0cxODgILpeLq1ev4sc//jHW1taIycCeAyuo8vk8tra20Gw2aTi2tbWFdDqNQqGAVqsFLpcLvV6PiYkJfPzjH8dzzz1HQ1AWqcEYGSx2qVqtotlsotVqQS6Xw+l0Ynh4GA6HAwaDYU/fi3ejn/b09HSwVR42i6eLLro4ONh2MRgMdrAqRCIROdqz849RT1mjuF/n5Wq1Cq/Xi9nZWSwuLiKVSkEoFFJ8kEqlgt/vx9LSEsXKsc0ic6EWiUT0/FQqFaRSKXZ2dnDu3LmOARePx4PdbseLL76IkydPwul0gsPhkEHO0tISVldXsbW1hUqlQtFKEokEKpUKlUoF2WwWmUyG7m9nZ6cjLu4wcCDN49tvv40vfOELkMvl+LVf+zW89NJLFHwbDofx/e9/H9/+9reRz+fx13/913jqqacO7Yk/COyXB87j8UjbF41GO/SKjH7KJrhHYUt0IxWVNU+sYQR2mzVm6FIsFtFsNikDzGQyYWBgAHa7HSaTCQaDgZoa9oW+sbGBy5cv4+rVq1hbW6PJtFKphN1ux6lTp3D27FkMDQ3dtukrFouYm5vD7OwsvF4vKpUKenp6MD4+jhMnTsDpdO65mSqXy9jY2MDc3Bzm5+extraGZDKJer0OkUhEguPx8XFMTEzQVKjRaJDZw9LSEl1bNrHOZDKk7WH3Mz4+Tnln7UUQ0y3dWOwAN7uf6nS6Q9fadHFndLVIXRwWcrlcR5PIdHvA7me9XUvD5/OpSYtEIhCLxeByubBarTCbzRAKhRTLtLW1RXFGTKfIshRLpRKq1SoajQYUCgWsViuGh4cxNDSEnp4ehEIhzM3NYW5uDn6/nyhNGo0GdrudjBbK5TIymQw1sExXmc/nUS6X0Wq10Gq1oFQq0d/fj6eeegovvvgiuaonEgn4/X7SSebzeTKc4PP55LDqdrvhdrtht9v39Fli9NP2H0bfPYj76YNG95zp4ijgw3KNmZaPUTOZ9hoAlEolZVGzuok5nt6rfIdpDefm5rC6uopMJgOZTIbBwUEMDQ1BIpFgcXGRav5KpQKxWAyz2YyhoSGq+9jzZK77TAvOMr6ZoY3RaMTY2BhlnafTaYqD83g8CAQC5Fzd09MDpVJJUXBbW1tkqFmtViGTyWC32zE1NYWhoSG89NJLh37WHDjn8Vvf+hb+4i/+gsSY7Ro29t9f+tKX8IUvfOEgD/NQsJ8Xu1wu4wc/+AHy+TxFNrCG8SgV/4yK6vP5iJ5ZLpdJA8NMEyqVCvL5PHGzZTIZ1Go1ent70dvbC4vFQjmGwM8oltvb21hcXMTi4iJ8Ph92dnaoGTWbzZiYmMCTTz6JwcFB9PT03PaLvVgsYnZ2FleuXMH6+jqq1SqMRiMmJiYwMzMDh8Ox521ts9nE1tYW5ufniZve/mFnjrAzMzOYnJyEXq8nGtXW1hZCoRDC4TDq9TrUajUVZizfp93+nmkyLRYL6XruRD/VaDQdxc7DNkLqolvVB/MeAAAgAElEQVTUdbF/tDuetlu5s7wviURyU96XRCJBJBIhI4dcLke6FpPJBL1e32GelkqlkMvl0Gw26X5Zs8i2gVKpFDqdjgocq9WKUqmE+fl5XL58GR6PhxglTFc/NjYGt9sNqVSKQqGAzc1NXL9+nQzbqtUqqtUqarUaKpUKuX3b7XZ87GMfw4svvgiz2YxWq4VEIoG1tTXMz88jHA7T5JvH40EqlXbojux2O+x2+x03gbVaDTs7Ox3nJ6OfSqXSDkMb5q79YUH3nOniKOCoXuNarYbt7W2srKxgfX0dfr+fooDUajWxwqxWKzWKB5F7sQXBxsYG5ufnO8wWGbW/Vqvh6tWrWFhYoBgNNgAbHx/HwMAAisUiZTg2Gg2ij1YqFQC7PVGj0aC6mjlYy2SyjoaReVoIhUIy3ZHL5SSzYlFHLElCq9ViZGQEx48fh8lkQrFYhNfrRSaTwZe//OV91ZUPpHkEgIWFBXznO9/B7OwsvaAGgwEzMzP4lV/5FUxMTBz0IR4K9vuB4nA4qFarR+oLrF6vw+fzUdZXJBJBoVCAQCCg1Tmz802n09QY8Xg8KJVKWK1W9PX1wWQywWw2QyKRoFKpdDh8bmxswOv10vSjUqmAy+WSc9Tp06cxMTEBq9V6R0ppoVDA5cuXqWGs1+swGo2YnJzEqVOniKq1V6RSKSwuLuLtt9/G7OwswuEw6WmYLfOTTz6JqakpiMViKn5Y9mIymSTOOIfDQb1eR7VaRSgUoteIuRq6XC5YrVa6j1tZvXfdTz8c6BZ1XdwJzLiqfZvI2AvAz/K+2jO/2AAxm81SsxiJRGg7yGhNTLvDJA6JRALALkWLDZzK5TJpW5jjKaN72u12NBoNeDwezM/PY2lpCdFoFNVqFVKpFA6HA5OTk5ienobFYoFcLoff78dPf/pTXL16lW7L4/EgFApRKpVQLBbJ9MtqtWJmZgYvvvgi+vv7iTo7Pz+PxcVFcpQWiUSQyWSQSCTkrM3ydy0Wyy2LvL3QT9vPzw87/bR7znRxFHAUrnG5XKZzjy022ECNw+HAYDCQK//AwMCh1U7FYhGhUAg+nw+Li4uIRqOoVCrQaDQ0gEulUpifn8fCwgJSqRQ9n+HhYRw/fhxDQ0PY2toiZlw2m4VAICC5l0AggFwuh0gkQrlcJh25Wq2GVCpFsVhEPp9HKpWic10ikRCbj8PhYGtrC2tra1SXssWH3W7H9PQ0xsfHweFw6Db5fB7Az2rO3/7t30aj0djz6/LAmsdHFR+2g7bVaiGXy8Hr9WJ1dRU+nw9bW1vU0LJYC5VKhUajQc6fTHfI4kD6+/spbkMqlSKZTHY0RKlUCtvb2zQVZ/Eb7c6rMzMzcLlc0Ol0dzWFuXTpEubm5uD1etFoNGCxWKhhZDTovaJSqWBxcRFvvPEGLl68iGAwSDxzm82Gs2fP4hOf+ARGRkYoEiQcDiMUCpHZjVAohFQqpUKN0QxarRZljTmdTspLS6VSN9FPBQLBTcXOUdpAd3F7dIu6Lhjq9fpNtFO2uQNAURXtNKl2cwJmKnbjdlGpVEIkEpFGmuXd1ut1NJstbG6WUSg1gVYBalUV5XKJshfZOT00NASbzUYDwvX1dXg8HsRiMZRKJcr+Ghsbw8mTJzE6Ogq5XI56vY7FxUX85Cc/IRYG0+dotVpks1mk02lymTaZTBgfH8cLL7yA8fFxCAQC+P1+XLlyBdevX0c0GkWr1YJEIoFGo4FEIiFnarvdDofDccssXRZX1O5+yox8bsXIOAq+AIeJ7jnTxVHAg77GhUKh40yNRqMIhUJIp9PI5/MQCoVQqVRwuVw4duwYjh07RlT4g6J9QbC5uYn19XVix6lUKgwODsJmsyGZTNJALJfLQSgUwmKxUJyayWSC3+/H3NwclpeXafun0WigUqmgVqthNpvB5XIRj8cRj8epDmWO1QBIQ16tVilLVyqVIpfLYXl5GRsbG2QkCaBjC6rX67G1tUXGaK1WC2q1mup8oVCIarWOSx8AFttLsFqE+F9+ERAK736OdpvHA+IoH7RMN8dyvjY2NrC5uYmdnR3UajVIJBLYbDZYrVbKpQmFQtje3iZTGJlMBp1ORxmLLJCe0YQSiQSSySSazSYJcBmFipkyaLVaOJ1OnDx5EsPDw7BYLHc1rEmn0xSe6vP50Gg0YLPZqGFkz2OvaDQaWFhYwBtvvIHz589TE9jeMH7yk5/E6OgoOBwOMpkMNYvRaBTNZpOKuWazScVcsVgkLZFarUZPTw8sFgvK5TJpgLr000cP3aLuo4lbOZ7eKu+rPffrVtPvTCZDrn+RSIT0eEzDWK/XUavV0Gq1iNpeqVSQyWTg8ZRw4VIVhUIRQAsABzKZGE89qcUzP7dr+gIA29vb8Pl8VHQVi0UyLrPb7ZiZmcHo6CgZdJXLZVy4cAHvvvsuGT6IRCJYrVZYLBbSvkciEbRaLfT09GBoaAgf//jHcfz4cSgUCly/fp2KpXQ6TfQxjUYDqVQKqVQKvV4Ph8MBu90OrVZLr0m9Xr+JkfGo0E/vFd1zpoujgPt1jdkyo71R3NnZQalUIr1fvV5HvV6HTCaD1WpFf38/bDbbns2y9oL2BYHf7++ogVUqFRwOB1QqFTKZDBYWFrC+vo58Pg+JREK+HCMjIxAIBIhEIpifn4fH40EymaSG0WazwWKxkGFNNBqF3+9HNpulmLpjx45BLBajUqkgl8tRZBKj/G9vb2NhYYHoubVaDUKhEEajkaRirVYLoVAIOzs7AECxSSzOr9FoIJvNol6v4533uJi9ogOfb4JYMgEOhwcOB/hPvwz859+882v7wJrHWq2GN954g2irHA4Her0eJ06cuGsO5FHGUTlo6/V6B02KBYCyMNNmswm5XA6LxQKHw0FBoX6/H8FgkN5MUqkUarWaPqBKpZJoUqxhZNQrsViMbDaLeDwOv9+PVCrVIQgeHx/H8ePH6fHu1iix8NSrV69ic3MTzWYTNpsNU1NTOHXq1J5yDttRLpexsrKCN998E++99x5l+YhEIlgsFpw9exbPPfccJiYmwOFwaPrPxMssO4wVc6lUCuVymSbf7HWQSCRU9NVqNaKwdumnjy66Rd2jD+Z4ys4+picEQPqRduopy5O9FW7cLqZSKWrmWHPI9OTMvKFarVJzWi6XUalUEAo1cfESBxyOAFyeAjyeFnxBD9DioNFM4fHHtiCXJcndlDnsMXlAf38/HA4Henp6AOwOAc+fP4/z58/D4/GgWCxCKpXi2LFj6OvrQyqVwvXr1xEMBjsm70888QRmZmYgl8uxsLCA+fl5rK6uUnQRyz+TyWT0fWCz2chG/qNGP71XdM+ZLo4CDuMaN5tN8oBg5ylbZADoiBoqlUrg8XhQKBQwm80UN3SY50D7giAcDhPVk7k6M4ZEPp+naAwmaXI4HDh9+jRFqcXjcXg8Hvh8Pnqd2CKBbfgajQbln5dKJWg0Ghw7dgyjo6OQSqVIp9MIhUIolUoQi8XQ6/XI5XLY2NjA4uIiYrEYisUiUV3bdfGFQgG5XA6tVosaVRbPVqvVkEqlSIfOvFZ++FoP/u3fdeBweLd8fX7l5Ts3kA+keZydncVXv/pVmlh23Pl/hGV+4xvfwPHjxw/yMA8FD+OgZUUF+/CxAiOfz1O4aL1ep6KBGR20Wi1EIhFaYbNGT61Ww+VykVsfgI4JEAD6MFUqFUQiEfj9fmxsbBBvuqenB06nEzMzMxgYGNjTdpE5Y125cgVXr15FMBgEAFitVkxPT+PkyZM0Rd8Lms0mEokENjc38c477+DChQsIBoO0YTSZTDh58iSefvppeq/daHYjl8vJfa9YLFKWWqvVQrFYRDabJb2PWCwmrVJ7sTMwMEDC5y4eTXSLukcLLJuw3cyGnX03Op7qdLo9uWG3bxfZpJhlu/L5fCiVShrWscFTuwt3u0OqUCgEny/A//OqAJWyBuBw0WwW0Gxk0WhkgFYdHK4YUpkAv/xLUojFu1bvJpOJdIRqtRrlchl+vx8XLlzApUuX4Pf7Ua1WoVarMTExgampKUSjUVy4cAE+nw+VSgVKpRJutxunT5/G5OQkxGIxPB4PFhcXEQgE6Nxk7n4sM8xqtVLWLdsqflTpp/eK7jnTxVHAfq9xo9HoWGawepVp6pjmm8/no1wuU+3a3vxYrdZD3S4ysxvWMGYyGWq46vU6xVkIhUIyjWQLB4lEAqfTiYGBAej1etTrdezs7FBsHWs85XI5jEYjjEYjRYCwGKVqtQqFQoFjx45heHiYdIpbW1t0hkokEiQSCXg8HqyurlJckUAgIO8RPp8PHo9HqQYqlQpGoxE9PT1QqVQol8sdKQ4sF95oNBLbrVpt4uM/D9yps+NwgDdfvz2F9b43jz6fD5/97GdRLBYxOjqKT33qU7BarQB2ozpeffVVLC4uQiaT4V/+5V/gdDrv9aEeCu73QVsqlTq0NDs7O/TGYB/Eer1OYacsHoPp8dLpNNbX10loy8wTLBZLB/UnnU7T/YpEImqGeDweIpEI1tbWsLi4iEQi0cG9npiYoLiKvWwXm80mwuEw5ufnMT8/j62tLTJZmJ6exszMDE3F94JisUgN4OzsLObm5hAIBCj02mAwYGxsDE888QSmp6fB4/FuMrvR6/WQyWRkcsEaxFKpRNqeYrFIwdF9fX2w2Wy3pZ92v0wffXSLug8nWq0WTb/bz1TmTCqVSjtMbLRa7Z61NGy7GAwGsba2hu3tbcryEolEpDXp6ekhx+pYLAafz9cRp8Hlcinvi7nt7Z5bdfx/5xpotcpooQUeRwIOVwEuTw4OOGi1auByJfjPv2nEz/3cbsPIciA9Hg+uXLlCgdUAoNfrMTU1hdOnTyMcDuPtt9/GysoKSqUS5HI5HA4H2bgzDePKygoSiQTl7rI8NIlEQtbvZrMZAoEAyWQS8XgcOzs7NGT8qNJP7xXdc6aLo4A7XeNqtXpTo8hYBEzOw85TmUyGcrmMWCyGra0t8o+4X9tFZnbDFgTVapUYY4xFxqQBHA4HsVgMiUSCYjMsFgtsNhu0Wi1qtRoKhQI5Zm9tbaFYLILP50On08FoNMJsNkOtVkMkEtFtBQIBuWPzeDxEo1HSgLO8yUAggPX19Y77FIvFEAqF4HK51NQyLSTT0UulUtRqNfr+ujHF4Xav5Xf/qYn//j/v/vr9b78F/KdffkjN4+/+7u/i3/7t3/C1r30Nv/qrv3rL23z729/Gn/zJn+DTn/40/vRP//ReH+qh4DAPWhYc3z79bs/7UqlUAHYpwCz7hcPhQKfTQaFQgMvlolgsYmNjA4lEggoXpVJJbzY+n49Wq0W0JkbN1Ol0tOaORCJYWFggbnWxWASPx6Mt5okTJyhq4m7bRWC3qAqFQkRvikQilE3GxMV7bRgbjQYdPEzHee3aNYRCIWSzWfp9BgcHcfr0aYyNjUEgEJDgun0LKRQKUavVEA6HEY/HUS6XSavYvlEdHBzEyMgI7HY7FX73eo27eDTQLeqOPhqNBtLp9E3T7xsdT9sbxf0aVmUyGQQCAaysrMDr9SKdTqNWqxFTgzE6JBIJqtUqDeLY2c6m6jweD9VqlQxvxGIxFRY8Hg+NRgOhLRHefkcNHl8HtJq7TWSrCnB4EAjMEAgcEAjt+Nr/0UB/XwiLi4tYWlrCxsYGMpkMsXxOnDiBxx57DOFwGG+++SYWFhaQz+eJXjo8PIze3l7S77ApvUgkoqw0iURCuY/sv+v1Opml3Ug/ZT/7Dd7+qKN7znRxFMCucbvjKfszm80C2D3D2rXeWq0WarWaGBihUAiJROK+bhfbzW6Y7q/VakEoFFJmOYsW4vP5kMvl1AwyjbZSqYTZbIZGowGPx0M+n0epVEIkEkE8HqcoEIPBgL6+PkxOTsJoNEKhUCCXy9EmUiwWQ6fTQSgUIp1Ok6xLIBCQgVkgEEAkEkGz2QSfz6eoIqZ/Zy7brGlk9Ttjr+j1etos6vX6PceQfO3/auLd9+5+uyc+BvyX//shNY9PPvkkenp68K//+q93vN1nPvMZJBIJvPPOO/f6UA8F93LQsg/cjdxvRnVkb7r2tX4mk0E0GkWj0SCqEysqAoEAotEostksOBwOcaLVajUEAgGtt9njt3+Zq9VqRKNRXLt2DdevX6eML2YPz3IXR0ZGYLPZ9rRdBHbNHYLBIBYWFoivzefzYTabMT09jcnJyT1rGLPZLFEImJB5ZWUFgUCAXLCYKc/09DT6+vogEonoNWs2m9BoNPR40Wi0o9Cr1WqUi8bcYEdHR/f1HG+8xt0v00cb3aLuaKFWq3U0iKwYYIHzbEt2O8fTvaJeryMYDGJxcREejwfRaBSFQoG+5AcGBuByuaBSqVCv1xEOh7GysoLt7W1yUW02m0SVYme+QqGATCaDUqmkRoxtHU0mE0QiEVZWqvjvf51Fq5kHhyOEQGiFQOAAX2BEo55EpbqOSmkJZ04HUK9vU4HEHACnpqaQSqXw5ptv4sqVK8hkMuDz+URtZVQr5hzNCh02fBQIBODxeKTx5vP5KBQKRD9Vq9Ud9FNGx+3i3tE9Z7p4WGDREIyZ4ff7ycCKZbG2U/kZ3bxcLlO99iC2i3dywy+Xy9je3qb6mg31GOsjEokQk06n08FkMtGGMZ/Pk6M0u08WQzQ1NUWeIOFwGOvr66QLl0qlEIlEKJVKyGQypN9Mp9MIBoPkqM0MKVUqFcUeCQQCyktn/5/L5VKkUftWkflx3Av+6I+beP2Nu9/u558Dvv579948HsjlI5lM4uTJk3e9ncvlwtra2kEe6sijWq3ihz/8IbxeL02/mfX5yMgIdDodxGIxMpkMvSEZ1VSr1cJkMpFucXZ2luiVbK2t0+lIiyeVSqFQKDoaRZ1OB4FAgGKxiKWlJfz0pz/F0tISZRsymueZM2cwPT1N7k172S4Cu/bKgUAAy8vLuH79OhKJBDWMn/70pzE6OkoC4zuB0b/Y4cPMfEKhENbX17G9vY16vQ6FQoGRkRGMjo7CbDZDLBajXC7D5/ORQ5Xb7UYqlcLm5ibee+895PN5mu6wfB2xWAybzYbR0VG4XC4olcoDX+suuuji/qBSqdw0/b7R8ZQxBpiRzUHMqsLhMDWLm5ubtKUzGAw4deoUjh07BqPRSM3iwsICNjc3yQ2v2WySxKBQKNCE2WAwEC2WUVYZc4I5oJZKJYTDYRSLRajVYqjVdtRqDnC4YtSq2ygWL6NaWUW9nkCzkQWf34JIJIbT2Y9jx45hbGwMpVIJb731Fl599VXE43Ey83I4HNBqteByueTkx3IhtVotBAIBGo0Gms0m/Q6Mbsvcp/v6+ui75SDh21100cXDAXM8vZHKXy6XAewuM3p7e+F2u2n4plAoqI5jhooLCwsd20WtVksu/Ye5XQRwSzd8jUYDrVaLZDIJv9+PWCyGarUKnU4Hh8MBAAgGg7h8+TIKhQLFBqlUKmLjXbt2DQBo8CaRSDA5OYmpqSnKvQV2ZV5ra2vY2NigRpAx2Vj0GzNci8ViSCaTxHrT6XSwWq202KnVapBKpZDJZFAoFBCJdvXqGo2GGkWmVzws/Pzz2Fvz+PzBHudAzaNarcbm5uZdb7e5uXmoL85RBI/How8em9rw+XwS3c7OztIET61W08Q3nU6TdTp7o7KVu0ajgVKphE6nIz2NXq+HTqcj1z62nfzBD36AlZUVrK2tddgQu1wujI+PY2hoCFardc/bReBntK3l5WWyJmbWwWfPnsWxY8coy+ZOSKfT1CyyDatIJEIikcDy8jKZN0gkErjdbvT19RG3HNgtyhqNBuRyObhcLmKxGN544w2iIjB7eJlMhmq1Spb1LpeLNgVddNHF0cKNjqfJZJIo5UxrYjabMTY2Rg6fBylSGO1paWmJMrTaKZ/Hjx/HyMgI+vr6yBLd4/HgtddeQyKRQDqdBofDoXieWq1G+YjsbGUTevZ7MIZHT08Pms0mUVuZwYLL5YLJZEKlUkPzfwSQzbyKWi2MRmOXLsYBFxyuFCKxFUqlA7/xG4PgcoGLFy/iz/7sz+g8ZZbzjP7E5/PB5XLJEIwN35rNJpLJJNFStVptx0axSz/toosPJ250PGXNImMPsJpyaGioQ6d443b5TtvFM2fOHPp28UazG+aGz1ycWTwGk0SZzWZMTU2h1WrB4/HgrbfeIrqpWq2mJQajpLJG0mg0Ev3Wbrejv78fTqcTfD4flUoFKysrpE0sFAq0aWVup9lsFoVCgTaOrVYLOp0Ow8PDHckFhUKBpGhMU8niNFjDeD8zv08c50AqaaFYuv1tpNLd2x0EB2oeT58+jR/+8Id45ZVX8LnPfe6Wt3nllVdw/fp1vPTSSwd5qCMPHo+Hxx57DBsbGwiHw7h+/ToikQgajQZtC3t6elAul+H1ehGJRJDJZNBoNMDhcCCTyaDX64miyXjOzOWuHSwnkRVBbArDrHqnpqYwPj4Oh8Oxr+0iACQSCdL5+Hw+ahgNBgPOnj2LwcFBWCyWOxZx1WoV29vbdPgUCgVqrrlcLpaXl7G8vNwhXDaZTJDL5RAKhWTrzLjiuVyOnkuj0YBGo8Hg4CCMRiPEYjESiQTK5TIVYy6X61AoPl100cXhIJvNdmwT2x1P2cTW6XQSVWovjqd3Q6PRQCKRwMbGBpaXl+H1epFMJinHcGRkBMPDw5Thtb29jdXVVbz99tsIBAI0ZW80GqRDYdtPk8kEg8FAEgOWh8vhcMhAgckYAoEA1tbW6OwaHh6GXC5HsVjE6uoqfvSjH8HjSSISroHDFYPLFUPAt4LLk4DH10Mk6kcLXBSKi/gvf/o/USpukZu2RqOBXC6HWCyGRCKBVqtFpVKhIG6mq2dmQU6nE263G3q9vks/7aKLDyna49va/2QsCLZ0YM0LY77dCmyoxrSL8XgcAO7rdvFGsxvmSMr0iIFAAG+++SaSySQEAgFcLheeeuoplMtlLC4u4uLFi0in00QF1Wg0EIvFVEubTCY4HA5IJBLKVZTJZBRpxJq9ra0trK+vY2lpiRo/1nQWCgVUKhWSPwE/29RaLBaIRCJsb29TrSuRSGCxWDA+Po6+vj5YLBbSLD5I4zAej4Pf+xrwe79/e0Xi7/2fHPB4B/t+PZDm0ev14rOf/SwqlQpmZmbwC7/wC7BareBwOAiFQvj+97+Py5cvQywW45//+Z/R19d3oCf7oLEfrn+lUsFPfvITRCIRoi4xowS/309C22q1SjodRi/q7++n6fSt8sSq1SqZxywvLxO9isvlkrvq+Pg4+vv7971dbDabiEajVOAEAgFkMpkON1N2vyyz7Ea0Wi0kk0lqFmOxGG0+dTodcrkcrl27hvn5eToMWOEllUpRr9eJRsAOuHq9jmw2i0qlAqlUCqPRiKGhIRgMBhQKBQSDQRSLRcjlcjidTrhcLuh0uj1fr3tFVwPy6KOrRbp3NJvNDs03axRv5XjKpt+HtemqVCqIx+MIh8PweDzwer1IpVKo1WpQKpVwuVwYHh7G6Ogo1Go1YrEYvF4v5ubmsLq62hExIRaL6UetVlPDyAZ5zEGVTeTZD3PXCwaDFF/Fps08Hg+pVAorKyuIRCI0PFMqlYhElTj3BgcAFzyeAgJhLzgcISrldZSKF1Ct+tFs5GF38GExS8kBVa1W01aRTcQbjQZkMhmMRiP6+vowNDQEp9PZpZ8eMXTPmS72gmq12kE5TSaTt3U8ZVT+u33O27eLzHhMKBTCYrGQdvEwt2O3MrvhcDgwGAxQqVQoFArwer1YXV1FoVCAVCrFwMAANBoNYrEYZmdnEQgEUCqVaMPI6mX209/fj/7+fnC5XHocAFRjs94kk8lgdXUVly9fJm17qVQiGQKPxyMNONOFGwwGKJVKpFIpcvNvNBpkrHPixAm43W6SKxyFgdzb77Tw3/6yhXjiZ/9Prwe+/NscPPXknfuDB5Lz+P777+OrX/0qvRnawSa8f/7nf44zZ84c5GEeCvZzaDabTVy8eBE+nw9+vx9bW1skRmYRGg6HA263GwMDAxR/cauJRKvVQjwex7Vr17C0tIT19XUkEgnKdzQajXC73WR0s9/tIgs0DQQC8Hq92NraQj6fJ4en4eFhuN1u2O322+qJmF5na2sL4XAY5XIZAoGAJkfFYhGzs7OYnZ1FPB4nZ1iFQoFms0lhqYy+K5VKiWbFHA17e3vhcrkglUqJ614oFCCTyejv9pMVeRjofpk++ugWdXsDy/u6sbBpz/tiTSJz6mN0+8NALpdDLBajSAy/3490Ok1xFCaTiXK3LBYLCoUCPB4PLl26hOXlZUSjURSLRTJgYLIDqVQKlUoFvV5P52qpVKKz3Gg0wmQywWw2Q6fTIZvNwu/307aSy+XCaDQStWt7e5sCpuv1OpRKJW39mLFOJCLE9/7VBg5Xilp1E6XiLCrltd2cRw4PHPDB5coxPSWG1SoDn8+nuCEA5DLd39+P4eFhovp2cXRxlM+ZRqOF+WtAuSKDWFTA5AQOvKno4u4olUod52l7fBtjb7Wfp8w19G5glMpQKIStra2O7eLw8DBlBh5m03MrsxvGjhMKhWSOGAqFUCqVoNVqYTabibm2tLREtFuRSAS9Xg+r1QqLxQKNRgOn09kRH7S+vo6NjQ0Ui0VotVr09/fD7XZDLBajWq1iYWEBr7/+Oubn5xGPx0l2IBaLoVKpIJPJyAmb1aPNZhPxeJy+K0QiEZxOJ44fP04U3qPso3Gvn+MH0jwCu2/41157DZcvX0YsFgMAGAwGzMzM4BOf+MShFgwPEvs52Hd2dvA7v/M7HXqSgYEB9Pf30+T3Tq9DqVSCx+PBtWvXsLq6Sh8oHo8HtVoNm82GkZERuFyufW8Xgd0PcigUQiAQgM/nQywWoykOM6BwuVyw2+23nFqxDxHbLu7s7AAAdDodLBYLVCoVMpkMPvjgA8zNzXVYFAuFQlr/i8ViWCwWOBwOmHcsT7sAACAASURBVEwm8Pl8FItFoveazWbSL0YiEfj9fuRyOUgkEmoYDQbDgSlt94qjULR3cX9xlIu69sd8kO/DdsdT9mcmk+lwPG3fJmq12kPdcjEr9mg0ilgshu3tbUQikQ6LdLVajf7+fqJa8Xg8LC4u4oMPPsDS0hIikQjy+TwkEglUKhVMJhM5syoUCiocmK6RxSXp9XqYzWaiqvJ4PMTjcQQCAWJqMCMaoVBIVu0sUok9N7fbDZlMRk1fq9WCxWKBXC5HMBjCH/3xHFKpFTTrabTQAgdcgCMGlysBl8uHUMTFiekm6vVaB9V3dHQUIyMjsFgsBzIP6uLB4qieM2+/08J/+2YL/9FfANj7xqKLvePG+LZUKkWOp0KhsMPxVKvVkp56r7iddvHG7eJhfpfcyuxGrVaTCU8ymexgeTCZUqlUojO9XC6Dw+FAoVDAZDLBbrfDbrfDaDTSc2cGk5ubm1hfX0csFoNIJILb7UZ/fz/UajUSiQTef/99/PjHP8bS0hJSqRQ4HA6kUilMJhP0ej00Gg3FZ+TzeVQqFWKwlMtl1Ot19PT0YHh4GGfOnMGpU6f2nA18lHA/zppDaR4fVeznxWZuqxKJBMeOHUNvb+8dG5xms0n5iMy8gVERGE3T5XKR0c1+t4vALq88GAwSjYp9YDkcDrRaLfr6+tDb24ve3t5bWtvn8/mOGI1qtUrNn9VqhVwuRzgcxtzcHK5du4ZAIEBGERwOh4KwlUolBgcHMTMzA4PBQMGzbJJjs9lgt9shlUoRCoXg8/mQy+WIX+50OmEymR5aw9iObvP46OOoFnU3Pub9eh+yvC+mpdnZ2aENF5fLpaKmfQp+2E1LvV5HIpFALBZDNBqlDK5sNotGo0HUTIvFAqfTCYvFAqFQiLW1NVy5coWcptm0m02tWS4jcyEVCAQ0YWYu2RqNBmazmTQrTIMdiUToLC0UChAIBCRPKBQKCIfDpGNnjqv9/f1EKw2Hw6jVatDr9VCpVIhGo7hy5QqWl5eRTCaRStcQi/IAiMDl8gGOAFyuEAAXHK4IJ6almJgwYXh4mNgrer3+SJyLXewfR/Gcefud1h21Un/8h90Gcr9odzxtp/K3O562005vdDzdz+Mw7eKN20Wr1QqbzQa9Xn9TA3qQ75Lbmd0wR2eWIBAMBhGPx1EsFslwLJfLoVgski6bGUUaDAby62CZ42zIBgCRSATr6+vY3NxEvV6nZlIkEiEWi+HSpUu4ePEiQqEQndPMVNFqtUKtVqNSqRBdt1gsolQqdcTpGY1GTE1N4ezZs3C73Q9Us3g/0G0eHzAOu6DLZDJYWlrC9evXsba2hkgkgkqlApFIBLVaDavViuHhYXqT73e7COwaUwSDQfj9fmxvb3eIqNVqNTVjvb29N21C2UHQzoVnk3c2qeLxeNjc3MSVK1cwPz8Pn89HcRvAbnHJqLWTk5M4e/YsdDod3SejpNrtdjgcDojFYvj9fvh8PmQyGQiFQnqOe3FyfdDoNo+PPo5iUXerxzyM9yEzVmkvatgA6Ma8LxYMfT8+k+VyGfF4HJFIBLFYDDs7O6jX6yiVStTYsUEUKwCYY/P8/DxWVlaIWsSiNnp7e2Gz2SCXy0kL2Gg0qBBoNBrgcrnkiMq2i+xcZPEcrGFkm0i2Uc1kMkilUsTgUCqVdHZJJBJyqy6VSlAqlejp6SHn7eXlZTLkYaHRQqEQ5YoY4bAUtZoAHI4UPL4SarUJn/tfB/HiJ11wOBxHmibVxd5x1M6ZRqOFX3q5c+N4IwwG4HvfPbjZxqOKZrOJdDp905na7nh6YybtQZxL97pdvBP2+z68ldkNi6NgS4NAIEA1ZDqdpti5Wq1Gg0aWLMBooyaTCUNDQ2TK2NPTQ/Uv00Sura2R6ZlarYZQKEQ4HIbP58P6+jri8Tiq1SoEAgENFt1uN+r1OnK5HCKRCDWMwG7DKpPJIJPJKKd8cHAQDofjnrKCjyrux1mzr3FxOBzez81vAstR+aigVqvB7/dTcRMIBChMul3Tx8S897JdBECOfn6/H4lEgihR7APGPkROp/OmgySbzdIhEIlE6CCwWq2YmpqC2WxGPp/HwsICzp07h5WVFQSDQWSzWRIXy2QysiOenp7GzMwMeDwetra2sLa2Bo/HA51Oh7GxMdJRbm5u4tKlS0ilUhAIBHA4HDh58uRdnVy76KKL/YNNv2+knrZPv5kbJ6Of3sv0e6/IZrOkV4xGo5TlyOFwOmijUumuOYxUKoVYLEalUsHVq1eJes+01nq9HmfOnEFvby9kMtn/z96bxcaVZ2eeX0Tc2Pdg7MFYue8iJSqVezmz7JqpynYZMOxpFHpsPw1gw+5yPwzqwfD0bN024DHG7Wq4Z6YxgAtlzxTQDy6XaxlkVmVWOUtSaiNFJkWJWzBIxsLYGPt2I+6986D6nyKVklK7KOp+gIDMVEg3FEz9+T/nfOf3odFooN1uU/EJ3L7YqdVqaLXaI8Xi4WKM53lsbW3R5Ych2TmOgyiKqNfrdL4y62gsFqNQ6Ww2S/lgBoMBLpcLm5ub+NGPfoSNjQ2KBtFoNDCZTDAajTAYDOA4jnZt3nzDgl7PBX//LCJhL959px8m09NDu8uSBQBLy7hv4QgAudzt183NPpv3dJx1mHjKztNSqUTnDSOeBoNBKhQf5X53WPebLg4NDd1zuvgknnkn7MZkMsFisaDdblNRls/njzQg2U4ho1KzBp4kSTCbzYhEIpienqY878MTPkEQkEgksLi4iM3NTXKqsSJ0eXkZuVyO9tyZU62/vx+BQAA8z6NcLuOTTz6h3HSj0QiLxYJgMAi9Xg+Xy4WBgQEaqDzu1+dl0kMVj++8884jXyYUCgVWV1cf6de+SGKBqjdu3EA8Hkc+n6eCzGq1YnR0lCxHjzpdlCQJuVzuyM4N88oLgkB0qGg0ikgkcoRm2O12sb+/T4cPK2a9Xi8FpWq1Wqyvr+P8+fMUis0sBywzjMWIBINBxGIxxGIxaDQa5HI5LCwsUB7P/Pw8gsEggNt5n+fPn0exWATHcQgGg/RMeVdHlqwnozvzvtgFh3W/WbNnZGTkiRNP7/V+Du8r5nI56vxaLBaoVCqYzWa02236odVqYTQaKW+RXVoO0/bOnTuH/v5+siGVSiUC+LCLCttjZPsyPp8PNpvtyJnbbDZpusjOROD2xafb7dK+tiRJMJlMGB0dRSgUQn9/P8xmM5LJJNbX1+m5SqUSW1tbWF1dxe7uLu1kWiwWDA4OUoceuP19kdGnfT4fpqamCAXvcrlkl4OsZ6Z84cFMaLdf93JNHnme/4yVv1KpQJIkOo/YKhA7U5+U1ZFNF1mT//B0cXh4+ImTUYG7w25YfizLil1bW0O1WkW9Xke9XgfP81CpVBRZYTKZIEkS/RzP87BarRgZGcGpU6cwPT39mQzuarWKzc1NXL9+HWtra0T+Z01E9rkz269CoYDdbsf4+DhcLhdEUUQmk8GFCxcoq5FBIL1eLwDQlPFeAxVZD6aHurHPz88/rffxwqvRaOAv//Ivsba2Rj5rk8mEoaEhhMNhxGIx2rl5lO6GIAjIZDJHdm5Y7AfLyHE4HFQwHu6ml0olKhbZErPZbCavOMdxKJVKWF9fx/e//33s7OzQnlOn06EdHhbazTz0brcbWq0WtVoN8XgcGo0GgUAAU1NTCAQC6PV6SCQS+NnPfkbE1f7+fkxNTaG/v18uGGXJekwx4ulhi9TdiKfT09PU/X7aALNer4d8Pk+FYi6XQ7fbpW/kHo8HgiDQTjZzMajVanAcB4VCgVQqhWq1SlAek8mEiYkJhEIhQqGzPchsNguVSkXTQGZbZdNFp9P5mU58tVolt0YymUSlUqHfQ6lUUrQIuxgGg0H09/ejv78fBoMBOzs7WFlZwfb2NoEWtre3kUgkyFbF4kFYzhcLm2arCv39/YhGo1QwPk8QmCxZ5fKTfd2LqlardeQ8PUw85TiOYnvGx8fR19dHU7UnpecxXQQ+C7th+YbtdhvVapU4FcDtIQRzh7AdR6vVSvfRRqNBja++vj4MDw9jbm4O09PTZPtvt9uUK5lOp3Hr1i2kUikCkNntdng8HnS7XTQaDcoM73a7RPZ3u90QBAGVSgVLS0vodrswGAwIBoOIRCKwWq30Hp1OJ6LRKMLh8FNtlr4seqjb+7e//e2n9T5eeEmShEqlArvdjqmpKbIyPep0Ebj9FzSVSmF3d5e6P6Io0tieecWj0Sii0Sh1cTqdDhKJBB0+zWaTEPMjIyO3d2vabWSzWVy5cgWFQoGsBmyBmcFxHA4HoZEZal+tVkMQBBwcHMBoNBINy+fz0bM//PBD7O/vQ6lUIhAI4K233kIwGHzhF49lyXreSiaTWFpaQiKRuGveVzQafSrE03up1WoRzpztK4qiCI1GA7fbjfHxcQBAoVDA5uYm7SZyHEfRGN1ul4rgTqcDjUYDr9eL+fl5eL1e6HQ6utDt7+/Tecomek6nk4pFj8dz18ZUsVgk2jRbIVAoFOA4jgA6oihS7AUrFtmu9+bmJt5//33au2G0RObKYFFHk5OTCAQCKJVK5PKQJAlGo5HoqNPT0wiHw5/pvMuS9bxksz3Z170IupN4enBwQAWSRqMh2ymz8lsslqe28/2sp4uMcXHz5k2srq4il8uhVquh3W6j0WhQU485LpRKJTiOQ7vdJnCaRqOBJEno9Xq0eqBWq+H1ejEwMIDZ2VkMDQ1BrVbj4OCAYufy+TxqtRrK5TIKhQJKpRKdkSyPsdFo0M81Gg0isAYCASK0JpNJij86e/YsAoEAjEYjcTjMZjNmZmYQDoflXfEnrCcOzGFe55NQ2T9szuP29jbZNR/VO91ut48AbxgognXDGeAhEonQJZF1qtjidD6fJ2qrXq8nWiAL665Wq+h2u2g2myiVSqjVakS+UqlURBvs6+uDwWAAz/PkNWcIaQa86evrQ7vdxs7ODhKJBF3sfD4fotHbgIeTFEwtA3NOvo4byOJOffzxxxAEAVqtlorEp0E8vZeq1SoVitlslkisjJTH8sL29vawsbGBRCKBWq0GjuNgs9ng8Xig0+lQKpVoZwW4DfQaGBhAMBiE3W5HtVpFOp1GuVxGp9OBUqkkaA5rarG9xbvBDSRJQjabxe7uLnW1WZ6tTqejIGg2JXS5XFQw2u12FItFulhtbm7SRLfVaqHRaBCch1n3XS4XUqkUtre36bVs+njmzBlMTU0hFAo98CVQPmtOto7bObOwKOFf/5vPvw7+9f+uwNzsizUhlyQJ1Wr1M1Z+RtjU6/WfAdk8zWLjUcmojysGu2HwmVKpBJ7nUalUyJqv0WhgNpthMpkgCAIVkmx/EbhdeLLPjkFnbDYbQqEQJicn4XA4CILGhhOMkcHWm9h5zCCLOp2Oci6LxSLq9ToEQYDNZoPb7aZcXLZz6XA4CG6j0WiQzWbR6XTuOlB52XVsaasfffQR/v7v/x6Li4vUtdHr9Zibm8PXvvY1vPPOO4/7iOeiZ0VArNfrtL+YzWZpr5CRq0RRpK51NBqF0+lEs9lEOp2mH2ycr9Pp6BLJCKg6nQ4qlYrwxAx9zw4OZjvwer3weDzgeZ466Syz8nDejtlsBs/zVDAykBLzkTOK6kmUfKE7+Tpul7p7PfNZ/H/Imk6sUGT5sOw9eDweOBwOKBQK7O7uYn19ncjJSqWSJqFWqxW1Wg3ZbBbJZJLOKrYv7XK5IAgCId1ZE5JRTJllnv24F6GQ2fu3trawsrKCbDZLMAWW5wjcvvBYLBb4fD4Kem61WigUCtja2sLm5ibS6TSh57vdLniep33MQCCA4eFh9PX1YWtrC2tra8jlcnTZiUajeOONNzA3Nwe/3/9Ijgv5rDnZOm7nzEmhrTLi6Z3RGOw+dJh4yorFZ7H3dr/p4oOSUR9WkiQhk8lgdXUVa2trSKVSKJVKv9h/V6Ba46DT2aHTKTE8ZIPBYEC9XieOBrPjiqJId1GdTgeLxUKEVRbXZDQa0el0UCgUqLBkZzcApFIpxONxJJNJWp3S6XQol8uoVCool8toNpu0KsD22VutFpH/3W43rS8AIJq12WymgvFJ/D05aTp2xaMkSfiTP/kT/MM//APYb2OxWIjsB9wGAnz1q1/Fn/3Zn71w+xxP80JXLpexs7OD3d1dFItFKJXKI6jjTqcDvV5PRFan04l8Po9UKoVkMkldG5VKRbYrk8kEtVoNp9MJh8NBdEAWhcFsCWxqwfDIfX19qFaraDab6Ha7dKkKh8MUG6LVatHtdrG3t4ft7W2kUimIogiv13vP6I+TKPlCd/J13C5193rm0/j/sNvtfmZfkbkfnE4nXC4XNbZSqRTW19ext7dHFFGn04mBgQHaVWFdbnZWBYNBQrGr1WrKTqxUKnS5M5vNcDqdNFn0+/337SDzPI9kMomVlRWsrq4SHMhkMsFsNsNsNqPX68FoNMJqtcLlckGv10OhUKBUKqFQKKBSqSCXyyGfz1NxLEkSFYwqlQp+vx8TExNwOBzY2trC9evXsb+/T2fm8PAw3n77bZw9exYej+expwbyWXOydRzPmRct5/HziKdWq/XINPFJEE8fVM9juiiKIrLZLG7evIn19XXE43EqFjUaDQwGA8xmM/b31bi2aEarpYMEEZLYgU5Xw+ypHlzONnieR6fTIdeZy+Wiz67dblPOrkajofev0+ngdDrhdDqhVquJXH3jxg1ks1nwPA+9Xk87kdVqlWjfbEjh8Xig1+tpz5LjOOJkhMNh1Ot1JBIJNJvNI4kFTqfziX2GJ1HHrnj827/9W/z5n/853G43/uAP/gDvvfce2VXr9Tq+//3v42/+5m+Qz+fxjW98A7/3e7/3qI96LnqSFzp2kLCCsVqt0r6OUqk8YoNiWWEmkwnpdBrxePyIxYDtClmtVrjdbrhcLur+NJtNbG9vY3V1lZaRO50OJEmCXq+H2WyG1+uF2Wymjk+73YbVakU4HMb4+Dj6+/vh8/mgUqnQ6/WQTCaxvb2NZDIJQRDgcrlo8fhxMopeRMkXupOv43ipYxIECUvLQLtjhE7bwMw0HmsK0Gw2aV8xm80S7EWr1cLtdsNoNILjOHS7XRSLRcTjcRSLRZTLZZoKRqNRIirv7u5iY2MDxWIRAODxeDA0NISBgQGYzWYUi0VsbW2hUCig2WxCoVDAYDDA4XAgFArRZPHz9sRbrRY2NjZw/fp12kFkhFan00k2VnZhYo6MTqdDjU2lUolarUbWWBZezS5OzH4/MTEBt9uNeDyOTz75hPLULBYLxsbG8Pbbb+Ptt9+Gw+F45K/D3SSfNSdbx/Wc+dk/S/irbx6dQLrdwNf/8PkWjox4ejhu6E7i6Z2F4rNmLDzr6WK1WkWhUEAikcD6+jrtwbPhg8lkgsFggMlkAsdxUKlU2IpLeP99HUTwgCSgJ1QhCmWIQh2i1MD0pBqxmBmxWIz20ZnjhMUT2e12KhRdLhe0Wi3q9foRqGOhUKB7LWvCsc+DxXywf1YoFOh2u2i1WjCZTAiFQhQVd3BwgJ2dHYo/YgWjy+V64QZSz0vHrnj88pe/jEwmg+9973t0ebhTe3t7+PVf/3X4fD788Ic/fNRHPRc9bvEoiiJ11nd3d6k47OvrI4RxtVqFRqNBKBRCMBiEJEm4desW1tfXsb+/j3q9Dq1WC5vNRrZQFpPBQlSTySTW1tawsrKCTCZD/nK1Wk0Fo91uh0ajOULNslgsGBoawqlTpyjfTaFQQBAE2t3Z29tDr9cj+9md0R8vm+QL3cnXi3Spc7mAP/6jB7/UMTops6GyQspsNsNms0GtVkOhUNDuSalUQrlcpm6zwWCA1+tFLBaDIAjI5XJk8RRFEVarFYODgxgZGYHL5UKj0SBATbVapfgMu92OSCRC00W32/25xEJG1FteXibKKbOgMeusIAhH7PtKpZJ2JdkO9/7+PlFWu90uZUuyiaPT6cTk5CRCoRA2NjZw/vx5JBIJdDodmM1mjI6O4gtf+ALeeeedp2qRks+ak6lHbQC9yE2qh1Wz2TxCOz04OPgM8ZQVik+DePqgut90kcG2ntR0kdnqC4UC5clms1mUy2UIgkA8DIPBAIPBAEEQaKdbr9f/ohGoxl99s4XyQQbdXg6icABR6kKp0IFTu8FxfpgtGvzmb9SQSu2h2+2SDX9kZARer5ecG9lsFplMBplMBtVqlazCyWSS7piCIECj0ZCTRK/Xg+d5ikBiUUWsCTkzMwOHw0GNylqtBp1OR+42r9crF4yPoGNXPE5PT+P111/Hf/pP/+m+r/v93/99nD9/HsvLy4/6qOeiRykeGXaYXU46nQ5MJhP5vllQt1qtRn9/P7RaLXXjd3Z2qFh0OByIxWIYHh6G1+uF0+mkoo3neezt7eHTTz/F6uoqstks5Tyyg8NsNkOv10OpVNKieKvVgl6vx9jYGM6cOYPh4WFaChdFEel0mi563W6XQsPvjP54mSVf6E6+jmPx+Ch2MlEUUSwWj+wrMpuQ1WqlXWhRFClGQhRFojqzKCCr1Qq/3w+lUolyuUyd5Xa7DZ1Oh2g0itHRUYTDYYiiSLuPLItLrVbDbrcjHA4jGAzC7/fD4/E8EEhrb28Pi4uLWFlZQTKZPAK3MRgMaDQaaLfbkCSJHBkmkwk2m40cGQAQj8exsrKCRCJBBaxKpUKr1SKwzeTkJIaGhrCxsYGf//zn2NzcRLvdhslkwvDwML7whS/gV37lV+B2uz/3fT8JyWfNydPjNIBOkj3+sNid6HCheCfx9DDMhkVCPC89i+kic3qwYpFBZ8rlMvEtGNzGaDRCqVQSGVWpVFJBxqaC+XweOzs7WFhI4NLlA0gSoFQawWlc4FRuAAqIYglCrwQolPgXXwngnXfGKVZNoVAgm80inU5jf38fpVIJgiCg3W4jl8vRzner1QLHcXA6nRgcHEQkEoFSqUQ6nUY+n6di0mw2Uy7m6OgobDYbCoUCtre3US6XodFoyIHn8/meCuH2ZdLTuNM8Fp7vQW0B7PJwUiUIEhYWe7hy9UcoHWzC7+vBbrchHA4DuH1g7+zsEAZeoVAgl8vh2rVrFGTq8/kwOzuL0dFRxGIx2Gy2I39heJ7HzZs3sbi4iFu3bqFQKEAQBHAcR8Upg0GwhfH9/X2yGoyOjmJ+fh6nTp0iz78oikilUkgkEtjZ2aEQ18nJScrIkSVL1vOVINy+cN5P/+E/Sjg7z+PgoEC7ivl8Hr1eD0qlksjLzIbEMhQZeZRFAPE8TyAEVpxls1n85Cc/Iau93+/HW2+9hZGREej1esrounz5Mmq1GpRKJaxWK2KxGIaGhuD1euHz+R5oJ7rb7WJ1dZXOuVKpRFj4QCAASZLQaDSQTCah0+mOZDAyR4bJZEIul8Onn35KkUGSJJHVv9lsotPpwGAw4PTp0xgbG0M8HseFCxfwrW99C+12GwaDgQrGN998E/39/fIFRtZj6V4NoHwe+JP/QcK/+59xrPYJn7TuJJ6ygvFO4ung4CAViuxO8zx1r+kiyy983OmiKIoolUrI5/MoFovI5/NEoGaOD2bpFASBKKiiKEIURfR6PXAcR2tMPp8PgiBgd3cXly5dwvb29i8bgx0zVJwPHOeASmmAKDUhCAdQKjTQqEPQWr4CnX4SX3nPiOmpPDKZDN03GTBHoVAgkUjg1q1byOfz1GCLRCKYm5uj3UR2jrN7pcvlgtvtxsDAACKRCBwOB/L5PLa2tmigEgqFcObMGWpWyjq+eqzi8Ytf/CL+6Z/+CZVK5Z6FRrlcxqVLl/Dee+89zqOOrVgnMZeT0Gy0oVCMwG6X8GtfzGJ39yqazSZEUUSz2STEO8tcPHPmDEZHRzE6OnrXTlW73cbq6ioWFhawsbGBcrkMlUoFo9EIj8cDs9kMrVZLk4NcLodKpUIZjbFYDPPz85ifn6eCkdG3WMHYbrfJiiWTqmTJOn5aWsZdCYii2ESvm0Ovl8PmRg7/21+WEOyXaGeR4zhwHAee51Gv16FQKGC322lPut1uo1wuE8zGbDZDo9Hg4OCA9ggZBGd6ehpjY2Nwu904ODjArVu38L3vfY92Bc1mMzweD15//XXamX5Qt8LBwQGuX7+OlZUVbG1todVqQaVSwWAwwGq1Uhe+Vquhr68P4+PjGBwcJEeG0WgkmNhPf/pTrK+vo1gsUlfe5XIRQVCn02FiYgLDw8PIZDK4cOECvvOd76DZbMJgMCAWi+H111/Ha6+9hmg0emKp0bKerR60AfTG68/WHvq0xAqiw0XiYeIpmzyNj48/U+Lpg6rdblOxeOd0cWRkBH6//5HfL9tTZMVisVg8YjsFbsNn6vU6Wq0WWq0WwbsAUKPParXC4/HA7/fD6XSiWq3i5s2b+Oijj7Czs0ODCbZDGAgE0Go7kc4AolAHFCpouTC0ukGo1RFAIaLXzaDZuIirV/KIb9WJsdHtdikjl0HUrFYrXnnlFZw9exZutxupVAqrq6tYXl5Gt9uF1WolMFAoFEIoFILL5UIul8P29jYuX75MQJyZmRkEAoFnFjcl6/H1WLbVer2O3/3d34UgCPjGN76BV1999cjPX7x4EX/xF38BhUKBb33rWy/crtzDWMkkqYtK6b+g016HIFQgSTxOz6ng8ymIbMpG9IODg/e8WNXrdSwuLuL69etkm2IddkYPZOj4YrGIarVKXSW9Xg+/34/Tp0/jzJkzsP0izVeSJPoLu7OzQ2hjtnjMrF2yPl+ylezk67jZVj/4iYT/6X/55THdbn2KTnsdoliHJHV/8V85/Iv3lBgZFqljy6ilDCDDpoj7+/sQRZF2AqvVKnK5HAqFAnWJo9EoxsfHEYlE0Ol0sLm5iZs3byKfz6PRaBCYZnh4GLFYDD6fD3a7/YHsZJ1OB3t7e1heXsaNGzeQTCYpGoiFTgO3Sd0sbHp0dBQDAwOw2+1QKpWo1+uUaxuPxwl6h3K77QAAIABJREFUo9PpaMJZLpdRq9Wg1WoxMjKCSCSCSqWCixcvYmNjA/V6HXq9HoFAAKdPn8a5c+cwODh4bBpo8llzcvQkMhSPq2211+sdsZyyXek7iaeHYTZ3y2V9nrrfdJFZUR9lunh4T5H9YJNWs9lM9GoG8trd3SU6KgMdKhQKihZyu90IBoPwer1Qq9XY29vDJ598gqWlJeRyOXQ6HVp7GhwcxNjYGEKhEARB+EWmdx3/1/+tQbsTBqdyQpJ66PX20eXTEIQyRKkJk0mFr/03CkjSbWbH3t4estksRFGE3W7HzMwMpqam4HK5jpD8u90uDAYD7HY7FYusYMxms0gkEshms1Aqlejv70c0GkV/f/8zhxq9jHruO4+/8zu/85n/xvM8rl+/fmQ3BgAymQyN3mdmZqDVavGtb33rQR91LPQwmUi9Xg3ZzJ9AAUCpNEGpssHR14+/+sshhMOh+6LbC4UCrl69ik8//RTb29sQBIEWwk0mEzQaDVEA2XSxVqtBoVBQZ31qagqnTp06Mu7P5/NUMLIL32FSlayHl3yhO/k6bsXjnRfPWvXH4DtxACIUUEGh1ECh1OEP/8CFc6/cLhatVivK5TJF+7DAZY7jjsAoGHQmEAhgdHQUY2Nj4DgOiUQCN2/epBgNtVpNFxLWeX/QyxS7mG1vb2NpaQkrKyvUvVYqldBoNNBoNATSYcXixMQENdkEQcD+/j4VjLlcDsVikXJqtVotBEFAoVBArVaDWq3G0NAQAoEAms0mrl27RvYtnU5HZ+bc3BxZz46bTUo+a06O7mwA3Uv/9k8V+NV3j2/x2Ol0juwnFotFVCoVALfpxezechhoc1ynSfebLvb39z/0dPFue4osr1av11Mjz+FwoNfrIZfLIZFIIJlMolarodPpEMBLrVbDbDYTqNDv98NkMiGfz2NpaQmLi4tIJBL0tWG20dnZWUxMTGBwcBCVSgXb29vIZrPgOA4ulwtGoxELiwL+z/+chNDLQRDqUEABKBRQKPSQpB7OvVKBJO7S2oPdbsfw8DDGx8dht9uRyWSQy+VoN5WtFfh8PgwODiIcDh+ZMO7v70OhUMDv91MO+IPsu8t6cnruO4+XL1++589JkoRyuUwF42Gx4vIk6U4rmVKpgdn8RShVNqjVPqg1ASiVBmi0Cvh8R//skiT9Ynl5ASsrK0ilUlAqlfD7/ZiamiJPuyRJ6HQ6SKfTKBQKtIxsNpsxODiIaDSKiYkJxGIxslcVi0Vsb28jkUhQZ50VjG63+8R9HWTJOumamb4N1WDnjVKph0YThIpzgeP6oOKc8PnM+O3fqiKTuW0d2t/fB8/zEEUR3W6XQpjZJM7lcuHcuXOUW5jNZnHjxg18+9vfJhvV4QlkOByGx+N54Itgs9lEKpXC8vIyFhYWsLe3h3K5DEmSoNPpYDQa4Xa7YbfbqXAdHh4+UpBWq1Wsrq4SpKHdbtMaACO/AiBLK8dxiMVimJ6eRqfTwY0bN/Dxxx+jXq9Do9HAbrfj7NmzGBsbw9jY2JFzU5asp6m+B0xxedDXPQuxvTkWz3N7cvVL4ikrGCYmJqhgPG4NmMNiTSyWk10oFAA82u7i/fYU1Wo1+vr6EIlEqGBUKpVIJpPY29vDhQsX6MxiADO1Wg2j0Qiv14vBwUH09/dTsbixsYGf/vSnRyZ8KpUKbrcbc3NzOHfuHCYnJ+H1epFMJhGPx/HBBx8QddpsNqPdbmNlZQXVahV7exL4jgpKpRkc54KEHnrdIrrdmxCEIrbjPPr7zZiZmcHg4CCMRiM6nQ6KxSJ2dnYoR9doNFJRGYvF4PF4sL+/j+3tbVy8eBGSJMHn8+HVV19FKBSSz9oTpocqHn/yk588rffxwql4cPTflUotLLZfv+freJ7HxsYGFhcXcePGDVoQjkajePPNNyl3URAE1Ot1FItFugCyi08oFILb7cbQ0BAGBwcpGLVUKmF1dfVIZ52RqmS0sSxZL7ZUKgX++I9AFnmj6XUAt63y3e4+Ou0bmJ1K4bvfraHZbEKSJNRqNVSrVfp3u92OiYkJjI+PIxgMotls4saNG/jBD36ATCaDZrMJs9mMQCCAc+fOYWhoCD6f74G/4QuCgL29Pdp52djYILqeSqWCzWbDwMAAHA4HnE4nBgYGEAqF6JIE3O7cs0lAKpWiiyqz6Xe7XbKsFotF2tUMBoMYHh6mUOorV67QRNJisVDxOzk5STAOWbKepe5sAN1Nbvft1x0Xra6u4tatW+h2u+jr60MoFCL7qcVieSHuFfebLo6Ojj7wdPF+e4p2ux1erxcTExNwuVzE/2CF6tWrVxGPx8npwX6dxWKBz+dDLBZDNBqFVqtFuVzG1tYWLl26RGdgo9EgsurIyAjGxsYwPz9PK0eZTAbxeBwfffQRAcZ6vR4123q9HrRaLSwWC2KxQXzwEw04dQU9PgO+E4cgFCFJAhRKLTTqIOrNfrz1lgl6vR5arRa1Wo2mo2yVYGZmBsPDw0cKxvPnz0MURXi9Xpw9exbhcPiBIGmyXkw91s7jSdfDWMnuJkGo4Pf/uzW0mktYX18nixjrLGm1WmSzWbTbbXS7XRwcHCCbzRLwxul0EiEwEAhgcHAQoVAIHMeRJWF7exuVSkVGGz8jyVayk6/jZltlYnCuVGoHnfYaunwGBkMNr57rwutpo1qtgud52lvs7+/H2NgYhoaGwHEcbt26hVu3btGZodVq4fF4MDIygomJiSOF3OdJEATs7Ozg5s2b2NjYwNraGu3zqFQqmEwmgnp5PB44nU709/ejv78fXq+XJpilUokud2yvxmQyQafTodvtolaroV6v0x5VrVaDSqWC1+uF3W4Hz/NIpVIoFouEqWc74l6vF5OTkxgeHkYwGHzhzkT5rDlZepS4ncN61rZVRofvdruf/+JjovtNFx90d/FB9hQPW1DZWcbzPNLpNHZ3d3Hz5k16PsszNBqN6OvrQzAYRDAYhFarRavVInhhqVQCz/OQJAndbhe9Xg8ajQY+nw8DAwOYm5tDNBqFzWZDLpfD1tYWVlZWKK+XNddYrqPNZkMoFCLoWDabxZWru3j//QNI6EASe5AAKBV6qDgb1GoXVJwHHOfCv/paBQokKAvX6/VidnaWJpzZbBbb29tIJpPo9XpwuVyIRqMIh8MwGo1P/ess6+H03HceXzY9zM4jAEiSgF43i077FlqtJXDcHt58vQ2Hw4HR0VFEIhEAQDKZRLVapSVpZkk1mUxwuVyw2WxkNxgcHMTAwABMJhOq1SoSiQS2t7dRKpUIbcw88S/a5ehFlHyhO/k6rsUjcPvc+Q9//V2sra2D5w9gtXQhCLdBBW63GyMjIxgeHkZfXx92dnawurqK9fV1FAoFSJKEvr4+DA0NYWJiAkNDQw8cx1OtVpHJZLC2tobNzU267LRaLdpXZIAeg8EAm80Gn89HBSP7jDqdDjKZDBWMDJTj9XphMBjQbreRz+dxcHBAVjBWMPb19cFqtYLneRQKBaIJqtVqIsva7XYMDg5icnIS0Wj0WBEcH1byWXPydLecR7cb+Pofvrw5j4+rx9ldfNA9xcPgscOqVCpIJpNYX1/H2toa0uk0qtUqJEmCWq2Gx+Oh+AyDwYBer0c728zmqtfroVarj0wK7XY7RkZGMDc3h1gsBrPZjIODAywtLWFhYQHxeBzVahVKpRJarZZswwMDA/D5fBBFEfV6HWtra8hms6jX6+A4DtsJHovXeUCSoFAaoVZ7oNWNQa0JQRRq6LRvotO5hanJNqanXJiZmcGZM2fg8/loh3Fvb4+m0axgPA6RKrLuLbl4fMZ6GNqqILRRLPxH9LopQBKh4pz4nf92Al/5cgw8z2N3dxfZbBadTgfNZhO12m2LGYvdYKRCjuMQiUQIRV+v14loVSwWwXEcgsEgotEoAoEAVCrVs/goZP1CL8I3U1mPp+NcPALAN7/5TeRyOeh0OgwODpL9qlwuY2VlBWtra9QxNplMiMViGB8fx/j4+APtPbfbbbJobW9vY2trC/l8HpVKBb1eD2q1Gmq1GjqdDiaTibJmnU4nZS4GAgFotVqaBDDQTT6fJxut3++HxWJBrVbDzs4O8vk8stksKpUKZVCazWZYLBbKpmR7PAaDAYIgQBAEaLVaBAIBnDp16oid/0WXfNacTAmChKVloN0xQqdtYGb6weI55OLxth51uvgge4qHC8W7uTAYuCuRSFC0UDabJdANm0Yy+yrL3K5UKmg0GuSs6Ovrg1qtRqFQQDabRavVgt1ux/j4OObm5jAwMAC9Xk9xQpcuXUIikaDC2Ov1IhwOE/uC4zi0Wi3E43HE43Gi3Wo0GrKw1mo1tFp6LFwPQqefgU4/BlFsodW8hnZrCaJQhVJphc4wjX//v57Dl//rCBWMu7u74HkedrsdkUgE0Wj0gaOYZD1/ycXjM9bDWMn299uoHPwdOE0AXl8Uv/2bbdhtt//SNRoN9Ho9dDod8DwPvV6Pvr4+uFwuyj1yuVx0EHS7XSoY8/k8VCrVEbTxcaWXvQw6jt9MZT1ZHffiMZPJwGQyURAz23duNBrkRhgdHcXk5CTC4fB9G0yCINCUjxV5yWQS5XIZzWYTKpUKCoUCBoOBsPHAbWCGzWajYrG/v58ubM1mE+l0mn4cngT4/X7Y7XbkcjnE43FkMhkicx/OsTUajRBFEa1WCwqFAmazGXa7nbJyBUGA0+nE1NQURkdHEQwGT0wj7VGLC1kvlo77OcOeeRy+37VaLWpAPeh08fP2FF0uF93DrFbrPZtqzWYTyWQSN2/exOLiIpLJJCqVChQKBRGinU4nbDYbOI6DQqFArVaDIAjU7HI4HOjv76c4jt3dXbRaLTgcDkxMTODMmTOIxWLo9XpYWVnB+fPnsby8jP39fTrrBgcHMTc3h9HRUZjNZtRqNaRSKWxsbNDElA0gOI47kuEbi8UwOzuLmZlZ/Mt/1UQu+wnazesQhAIUSj20ukkYDeeg0Y3CoM/hf/zTHSSTu2i327BYLIhGo2SZlfXiSS4en7Eexkq2tAxsbOwhnbqGbncTtVoVAGgPh+GMnU4nRFFEr9eDTqfDwMAAhoaGoNVqkUgkjmThBAIBRKNRBINBOQvnmOi4fDOV9fR03C91P/jBD7CwsIBkMgkA8Hq9GB4exuTkJEZHR++boVatVpHP56lYZFmx1WoVvV6P9px0Oh00Gg3K5TLljTEb18DAABWMJpMJoigil8uRdezg4DYlzOl0IhAI0IRxb2+PbE+sQGWYf71eD51OB4VCQdNNp9MJl8uFTqdDERzMyj81NYVYLHbi9mvuZmt0uYA//qPPtzXKerF03M8Z9szn8f3uYaeLj7qneL9nx+NxXLt2Daurq8SiYKAbFodks9mg1+shSRJEUQTP81AoFDCZTPB6vXA6ncjn84jH41hfX0en00FfXx+mpqbIDsp2FxcXFxGPx1Gr1YhhMTs7izfeeAOBQADVahXJZJI+k1KpBEEQIIoiuUEqlQqtAvj9fszNzeH06dNot9u4du0arl69hv/nOxl0uxy0uhEYDGeh1c1AEkvg+QR4fgc6bQvf+O/NiMWiiEQiMmDsBEguHp+xHubDrtVq+Ou//mvU63UKqhZFkTrmSqWSDrP+/n4MDQ3B6XRib28PiUSCsnB8Ph+i0aichXNMJRePJ1/H/VL3ne98B91uF5FIBFNTU/fsBh+2nx6+UHU6HfR6PeqMs2JRrVaj0WigVCrR3o/VakUwGKSCkcFuarUaTQIymQy63S70ej38fj8VjBzHETo+kUhgd3eXJozMbsqeK4oiDAYDvF4vAoEAer0e9vb2kM/nwXEcAoEAZmdnMTQ0dGIzah8XqCLrxdJxP2fYM5/V97sHnS4+7p7i3cTzPJLJJBYXF3Ht2jUkEgmCcOl0OrK0+nw+uFwuut+x85RZ7AOBABwOBzKZDJaXl7G+vg6e5ylXdmZmBo1GA+vr69jY2MDW1haBzlie4rlz53Du3DmIoniEPn1wcIBWq0URTBzHQaVSodfrEdSor68P09PTmJiYgCRJuHXrFq5evUqNRrU6hI9+dgY6wxlIUgt8J4Euvw1RbEKpNECtiUCjjeBvvunG3Kx81pwUycXjM9bDfNiCIOD73/8+dnd3odFoaBeI53nKTGOh1YVCAYlEAul0GgDg8/koPFXOwjnekovHk68X8VJ3p/00n89T1IVGo6FLRqfToU714WzYQqGAarUKtVoNh8OB4eFhxGIxgt30ej3s7+/T5Y7ZttxuN00CHA4HJElCJpPB9vY2FY2FQgHlchndbhcajQZarRZ6vR5KpRImkwmBQACxWAySJCGRSGBvbw+dTgcOhwPT09MYGxsjyvRJ1d0AbHfK7Qb+y/+rkC2sJ0Qv4jnzJPUg08W+vj5UKpV77ik6nc4ju4oPSosGbsNubt68iQsXLmBpaQmpVAqdTgdqtZpo1azRb7PZIIoi2u1fUq0ZCdXv98Nms2FtbQ0LCwvY2NhAr9cjgJndbke5XEY8Hkc6nT4Sn+FwODAyMoL5+XkEg0HU63UqFkulEiqVCsW3iaIIlUpFgDKVSgWe52EwGBCLxTA0NASNRoPd3V2y1/I8D4/HQxPIn19Q4d/9+23wfAKiUINCqYdGE4ZGE4GK++U+/L/9UwV+9V35nDkpehpnzcn9bvyMxaxWHo8HgiDQlHFgYADhcBjtdhvb29tYWFigLJxXXnlFzsKRJUvWQ6tSqRDIhu3ziKIIpVJJ5D2z2YxWq4VarUaXDEYrTafT2NjYQK1WI4vVm2++iXA4TLCbSqWCVCqFq1ev0u6NyWQiO5TP5yN3RD6fx+XLl7G1tYXt7W1kMhlUKhW0222o1WpotVpYrVZotVqYzWaEQiEMDw9DpVIhmUzi8uXLKJVKFGXEKIMPcxl8kbW0fP8MQADI5W6/bm722bwnWbKetO42XdRqtZS7aDab0Wg0kM/nce3atc/NU3yYrElBELC7u4t//ud/xvnz55FIJKgJxs6k0dFRTE9PE7G02Wxif38fu7u71CybmJiAz+eDVqvFwsICfvjDH2JzcxPdbhd2u50yGw8ODnDx4kW6GxoMBtqNZNBDm81GO+JLS0toNBrgeZ4ANyx+w2q1wuVyQafTodVqAbjtColEIjCZTCgWi/jJT35CBGuHw4HXXnsNs7OzsFgs2N3dxfnz57GyUkGnrYFaE4LG+Co47u454H2OJ/Yll3VCJRePT1CCIKDZbMLn8xGoYm9vDx9++CEEQYDb7caZM2cQiUReaIS8LFmynp9+/OMfo1QqodFowGKxwOVyIRgMEp59f3+fQFsulwtmsxnlchnb29uUK2uz2TAwMIDJyUmEQiGCd+3v72NhYQGpVIpgC16vF6dPn0YgEDgS7VGpVHDjxg1sbm5ic3MT6XQahUIB7XYbHMdBp9PB7XbDaDTCarUiFAphfHwcBoMBuVwOly5dIru+3+/HW2+9hZGREXg8nuf46T4fFQ+e7OtkyToOkiQJ+XyepmmHp4vhcBg6nQ6iKOLg4ABXrlyhpjvbK4xEIg+0p3gv1Wo1fPDBB/j4449x8+ZNarIZDAb09/fj3Xffxfz8PAYHB6FUKlEsFpFOp3H9+nVIkkRWVL/fD6/Xi0ajgYWFBfz4xz/G5uYmWq0W0Z8NBgOazSY2Nzcp53ZqagpqtRoKhQJ6vR4+nw86nQ6dTgdbW1totVpotVqQJInO9E6nQ1bZ4eFh6PV6tFotHBwcQBRFRCIRWCwWtFotLC8vI5PJUIb46OgoTp06BZfLhVwuh+XlZZRKJWg0GoRCIfze785jYcmLQuHesW5uNzAz/Whfb1kvj+Ti8QlJo9Fgfn6erBVXr15Fr9eD0+nE3NwcwuHwS9NFlyVL1tORIEhQKKag1qrgt/FwOfPY308jHo9DkiRYrVb4/X5IkoRUKoUrV67Qhc3pdOKVV17B+Pg4gsEgjEYjDg4OkE6nsbi4iFwuB1EUYbFYEAwGEQgEaMeRqdFoIJFIYHNzE7du3cLu7i7l1KpUKuj1eni9XthsNthsNkQiEQwPD8PtdqNYLOLq1atEhnU4HHj99dcxMTGBSCRyom2pn6cH7fTLEwFZx12Hp4vMCspxHIxGI9xuN1QqFWq1GtbW1gD8ck9xfHz8ofYU76ZqtYorV67gww8/xKeffop0Ok0W0WAwiNdeew1vvPEG5ubmoFQqkclkkE6n8fOf//yIFfXcuXPw+XywWCzI5/NYXFzE3/3d32F9fR31eh1KpRIajQYGgwFKpRIcx6G/v58mgY1GA8VikQA7Wq0W3W4XiUQCgiAAuE1xLRQKaDab6HQ6sNlsFKtkt9sppq1YLMJsNsPn80GSJDqv2ZnLprE+nw+NRgPb29u4du0aOI5DKBTC3Nwc/H4/0aj/zb++/2711/9QtsbL+nzJO4/30cN4hDudDt5//30Ui0U4HA4KT5WzcE6W5J3Hk6/juovESJy7O0vodG5BEtuwWNT4l7/tx6/8ipNADGtrayiVStDr9QgEArQ36PV60ev1KEIjlUqh1WqB4zj4fL4jZNTD4nkeiUSCqIBsgsmofkajkXD1LAeMAXZqtRqWl5fx6aefolAowGg0IhqN4vTp0xgYGJDDpX8heefx5dNxPWfufObn/Zo7p4u5XI7OBp1OB6VSCVEUATz+nuJh8TxPJNOf/exnuH79+pEzzev1YmpqCm+//TbeeustcBx3ZG+7VqtBoVDA5XJRjBDLiN3f38cnn3yCS5cuIR6Pk73VZDLBZrPB4/EQ5ToWi0EQhM+AfjQaDWXRKpVKSJJE++W1Wg0cx8HpdGJsbAyjo6Pwer04ODjA5uYm9vf3aSecRX+Uy2W0222IokiFZiAQgCAISCaTyOVyDxzrdjeqs9t9u3CUoVwnTzIw5xnrYT5sSZJwcHAAjuOOWLtknSzJxePJ13G81B0mcbZbq5CkNhQKK3q9NNrtZcxOb8NiuW1jHRwcxKlTpzA8PAybzUYXu3Q6jfwvbgsOh4PIqB6P5zOB2r1eD8lkEltbW1haWsLGxgYymQxlP5rNZvT19cHj8cDhcFBwdDgcRrfbxdraGq5evYpUKgVBEODz+SijzOu9+57Nyy6Ztvpy6TieM3d75t1+DZsusjOiWCyC53mo1Wo6H1gG4oPmKd5PoiiiVCohn88jk8ng2rVrBLmpVCpQqVSw2WwYGxvDG2+8gXfeeQd2u51sqOl0Grlc7q5WVI1Gg263i1u3buHChQtYWFhAIpFAs9kkgFgoFEI0GqVi0ePxoFqtEhTs4OAASqWSgDYMatNoNJDL5ZDL5WjNIBwOY3JyEsPDw/B4PCgWi9jc3MT29jYVvhzHodvtotPpHMmLZCsKHMchl8tRkfkosW5ynuzLI7l4fMY6TmQyWcdD8tf45Ou4XerunEo1G5fRqP8MPL8LSD2oOBdc7lH85/9jDkNDA9QFZzEanU6HoBTs0nS3nWtmiYrH41heXsbKygpSqRQajQZBGzweDzweD5xOJ8LhMFGi1Wo15aJtbGygWq3CbrdjYmICMzMziEQiclbtA0ieCLw8Om7nzL2eWSqVaLoYj8dx69Yt7O3t0eSOTeP8fv9D5SneT7VajajR2WwWW1tbWFtbw97eHkX96PV6xGIxzM/P0750o9GgYjGTyRyxojIyqsViQa/XQyaTwaeffkqFaD6fR7fbhcFgQCAQwOjoKJ1djKiay+UQj8dx8+ZN7O/vE0HaZrPB4XDQ3mQmk6Fi1eVyEYgnGo3CaDSi2WwiHo9jY2MDxWIRrVYLGo0GCoUCKpUKSqWScneNRiMCgQB0Oh3q9TpR+v1+/xOJdZPvNCdfMm1VlixZsl4y3UnibDWvQpIEmC3/FfT6Gag4DwShgKXlNLa2/j/6JuFyuTA2NoZAIACn03nPjj+7FC4uLuL69evY3d2lCaPNZsP4+Dg8Hg/cbjeCwSDC4TBCoRCMRiNSqRR163O5HHQ6HSKRCL761a9iaGhItu0/pN5+S4E3Xoc8EZD13MXzPH7+85/jypUr2N7eJmALs22eOXOGrJ6Ps6fI7KesWGQ/2GSzUCig0WhAo9HA7Xbj1VdfxauvvoqzZ89Co9GQFfW73/0uqtUqWVHHx8fp/bFnLC8vY3V1FUtLS0doq1arFTMzM3jllVcwOTkJv9+Pvr4+KJVKlMtlrK2tYWlpCclkEu12m/Y3Q6EQarUacrkcrly5QnFH0WgUr776KmZmZuDxeKBQKCCKIpLJJD755BNsb2+jVCpBpVJBpVLBarVSdmSr1aLMb4PBAJ7nsbe3B1EUaR+TwYZkyXpekotHWbJkyTrGupOw2ef6AwhCDb1uGp3OOrr1nwFSD2trBvzarwYINX+/y0WlUqFJ4ZUrV7C7u4tarQa1Wg273Y7BwUH4fD54PB4EAgGEQiGEw2EYDAZUq1XcunULly9fxs7ODnieh9frxZe//GUCN8i21EeXSqXA3Cxgt2tRKjWf99uR9ZLqBz/4AT788EPodDpEo1G88cYbGBgYgNvtfuQ9xcP2U1YslstlNJtNKsLS6TRNF00mE8bGxnD69Gm8/vrriEQiKBQKSKfT+Pjjjz9jRT1z5gy8Xi/a7TZyuRw2NzeJjBqPx4/savf19eG1117D6dOnMTk5eQQOVq/XcfHiRSwsLGB3dxetVovs+V6vF8ViEalUCj/84Q/R6/VgtVoxPj6OmZkZjI+PHzl7S6USNjc3cfPmTaTTaXS7XajVarhcLrhcLgC34TmtVouAY+xzKhQK8Hg8mJ+fp/NXlqzjILl4lCVLlqxjrDsJm/XaP6PLbwNQglO7oddPg1MH8Bu/0Ye52XsXbYyUevXqVco5q9frUKvV6Ovrw9DQEAKBANxuN/r7+xEKhRAKhaDX69Hr9ZBIJLCwsIAbN26gVCrBZrNhdnYWs7OziEajj2WdkiVL1vHSe++9h6985StmiV0LAAAgAElEQVQUNfEoOmw/ZbAYQRDA8zxEUUS5XMbe3h4KhQJN7fr6+jA/P49XXnkFMzMzAIB0Oo1EIoGLFy+SFZVlZft8PvR6PWSzWcTjcXzyySfIZrPY29tDNpslWygDiM3OzuLMmTOYmZk5UuRVKhVcu3YN169fRzwehyAIcDqdmJmZgcViIcvqpUuXoFAoEAqF8Gu/9muYnZ1FKBQ68ufmeR7xeBwrKytk49dqtfB4PHRWtlot5PN5KJVKGI1GaLVa1Ot15HI5mdIv69hLLh5lyZIl6xhrZhpwuX5pXdVqB6HRRqDmvFAobxds98rmYqTUK1eu4KOPPkIikUCj0QDHcWRrDQaDcLvd8Pv9CIfDCAaDdKnK5XK4ePEirl69inQ6TXlhX/nKVzAyMiLDwWTJOqFiLoQH3ZXieR6FQoGKRRbhA9yOMmN7fLu7u0ilUsjn8+j1ejAYDIjFYjh9+jRmZ2cRCAQI8vXBBx98xorqdrshSRIKhQL29vZw7do1dDodZLNZlMtl5HI5HBwcQBAEGAwGDA4O4syZM5ifn8fAwABNFyVJQiaTweLiIpaWlrC7uwtRFBEIBPDKK69Aq9Uik8ng6tWraLVaMBqNGBwcxJe+9CXMzs5+pqhjv9/y8jKuX7+OQqFAURpnzpyB1WpFq9U6El+i1WrB8zxqtRocDgdOnTolU/plvRCSi0dZsmTJOsZSqRT44z8CkTjVGv9nXnM4m0sQBOzt7eHChQv48MMPEY/H0Wg0oFar4fF4MDExgXA4TIj6SCSCYDBIk8Nms4nl5WVcunQJW1tbaDab8Hg8+NKXvoSpqSkEAgHZlipL1kusu9lPK5UKABBAhhFXM5kMbty4QWH2LKLi3XffxalTpzA1NQWe55FOp7G+vo7z589DFEWyok5OTkKlUuHg4ACpVArLy8sQRRHtdhv1eh3FYhH7+/toNpvo9XqwWCyYnp7G2bNnMTU1dSSygoFqlpeXcePGDezv70OhUJDlValUIplM4tKlSxBFkbJxT506haGhobsCgGq1GpaWlnD58mUkk0mIogiv14svfvGLCIVC6HQ6SCQSSCaT4HkeWq0WkiSRLXd8fByRSERuxMl6oSTTVu8jmbYq607JX+OTr+NKQbwfifOtN4FUKoWPP/4YH330ETY2No4UjGxn0eVyIRAIIBKJoL+/nwioDObAyIPFYhEWiwUjIyOYn59HLBZ7ZCCGrEeTfNacbB3Xc+bOZ5ZKJdTr9SMTxWKxiF6vB6VSCbvdDofDAYVCgW63i2w2i/X1dSSTSZRKJfR6Pcp3nZ6exszMDJxOJ+03MiI0s6JarVaoVCo0Gg1ks1lUq1UAOJKVmM1mcXBwQC4Kq9WKUCiE2dlZxGIxiqwQRRG5XA6pVAqrq6vY3NxEsVikqarT6US328X+/j7K5TJZWycnJzE9PX3PWKFer4eVlRV88sknWFtbQ6fTgdvtpmJYFEXs7OwglUqhXq9DpVJBkiTodDpYLBZEo1FEo9En8jV9XMnnzMmXHNXxjCUXj7LulPw1Pvk6zpe6O7O5XM40zp//GB9++CHW19ePUAnD4TAVjIySemdwdKlUwo0bN3Dp0iWkUikAQCgUwtmzZzE+Pg6bzfbYfzZZjyb5rDnZOs7nDAAUCgXE43HKHwQAk8kEp9NJJNJOp4NMJoPNzU0kk0nk83l0Oh2ymY6OjmJychJDQ0PodruUN8usqH19fTCZTOA4Dp1O54jV1WAwQKVSodPpUEZtuVyGKIrQaDSwWCwIhUIYHBw8EllRq9WQTqeRSqWwtbWFTCZDzzMYDDCbzWg0GqjVami327BarYjFYpiensbw8PB9J4AbGxu4cOEClpeXUa/XYbfbidJqMBiQSCSwvb2NQqFAxbXRaITNZqMs3L6+vsf7Ij5hyefMyZcc1SFLlixZL7FUKgVCwQIuX/4R/vEf/xFra2uo1+vQarVwOp04deoUQqHQkWmj3+8/UjDyPI+trS1cunQJa2trqNVqcLvd+MIXvoC5uTn4/X4olcrn+KeUJUvW81az2YQgCBgaGoLT6QTHcSiXy0in07h48SKy2Sz29/dRr9chCAKMRiMGBgYwOjqKqakpmEwmFItFpNNpvP/++xBFEXq9HkajkYiiBwcHtBvIrK4GgwHlchmbm5solUrgeR4KhQJ6vR7hcBhOpxORSIQyZjmOw/7+PhYXF5FOp2nnsd1uo9VqgeM46HQ68DyParWKZrMJh8OB119/HePj4wgGg/elmKZSKSKvFotFGAwGTE9P49VXX0V/fz92dnbw6aefIplMolarQaVSwWQywePxIBwOIxqNwu12P8OvnCxZT19y8ShLlixZL5C+/vWvY2trCyqVCn19fZiZmUEoFILP56Npo8/ng0qlol9zGA7BMhkNBgNGRkZw9uxZDA4OyrlhsmTJAnDb4bCf9WI3qUCtugU1t4JCIU+7jZ1OBwDgdDoxPj5Ou4XdbpfOGfYanU4HvV4P4JeRFFqtFn19ffD7/RBFEc1mE8lkksiowG2bqtPphFKphM1mQzAYRCQSQTgcBs/zZNPf399Hp9NBs9lEvV6nmA82+WOFbTAYxOTkJAYGBj7TUDssSZKQzWZx7do1XL16FZlMBmq1GmNjY/jN3/xNTE9PI5PJYGNjAx999BGKxSIkSYLJZEIoFEIsFkMkEqF8R1myTqLk4lGWLFmyXiDNzs4eyWBkFyqfz/eZiWGtVsPNmzdx8eJF7OzsQBRF9Pf347d+67cwOTkJh8Nxj6fIkiXrZRTbrd5JXEet+iOIQg1qdQ3DwyKiEQP8fj9GRkYwPDwMnU5H08h4PI52uw2O48BxHCRJgiRJaLfbMJvNcDqd0Gg0EAQB9Xqd7KSNRgOiKEKpVEKr1cJkMkGSJFgsFni9XkSjUfh8PtRqNaRSKaysrKBer0OhUEAURSK8sgmoSqWi5wWDQQwPDyMUCsHtdt/TUSFJEnK5HFZWVnDt2jXs7u4CACKRCL72ta/hzJkzaLfb2NjYwLe//W2k02l0Oh0qSoeGhu55BsuSdRIlF4+yZMmS9QLp3XffhUajgcPhgMfj+cxlhWUyXr58GSsr/z97dx4edXUvfvw9M5mZZDJZJslk3/cASUhICEgkgLggthWrtra99Vpbb21FxV6t/myttbbcx9rWgr3tbeulT10qYi2ogHtBtgAhGxFIyL5vk22yTWb5/v7IZWokEJAthM/reXge+M75njkzX/KZfOZ7zudU0N/fT1BQEPn5+eTk5BAZGSm/4AghTrLzY8Vd1dnp7MNu78RD4wuq2TQ0zebmmwOZm+mio6ODsrIyrFYrTqfTfRdPr9ej1WoJCAggODgYT09PHA4HfX19tLS0MDo6yvDwMAB2ux2tVouPjw8qlcpdfdRsNhMbG4uvry/9/f00NjZSVFSEy+XCaDRis9no6emhtbWVnp4e912/gIAAAgMD3cVooqKiTrt2y+Uafx01NTUcOnSIpqYmbDYbISEh3HjjjcyfPx+j0UhtbS1vvfUW1dXVDAwM4OXlRXh4OGlpacTFxck0f3FFkuRRCCEuI1lZWZMugO/u7qa0tJQDBw7Q1taGp6cniYmJLFy4kKSkJPfUMSGE+Cync/yO4wlehmw0Gj9Ahcs1hH2sid/9/jBfvnkErXb8V0cfHx/8/f0xm80EBwfj7e2N3W7HYrFQX1/PyMgIiqKg1WpxOp3Y7Xa8vLxwOBzo9XrsdjsGg4GAgADCw8PR6XQMDAzwySefuNcrBgQE4OnpSWtrK6WlpfT19aEoirsITVhYmHu7oejo6NOuX3S5XLS1tbnXKTY1NbkL3+Tl5bm/XGtvb+fAgQOUl5fT3d2NVqslLCyMq666ioSEBCIiIiYsCxDiSiPJ43nwrwqINjz1CpkZuPdcE0KIC2VkZITKykr27t1LTU0NY2NjREREsGrVKjIzM6ddZT8hxPRUVs6EbYAc9jaGBnfhcg0CoEKD0+mLSh3NvHnj0+b9/Pyw2Wx0dHRQW1uL1WoFwM/PD09PT9RqNSMjI+6iNycSRr1ej6+vLyaTCQ8PDwYGBqioqADA398ff39/tFotDQ0NHDhwgN7eXveWHGlpaURGRrqTxYiICPeWQ5NxOp20tbVRX1/vrgprtVrx9vYmMTGR7Oxs4uPjsdvtVFRUsHnzZlpbW3E4HO79GlNSUoiKijrlOkkhrjTyk3COJu69Nh5kzWZ4cDUULJYEUghxfp3YQ+zdd9+lrKyMnp4e/P39yc3NJS8vj+joaPlWXAhxViw9E//tcg0BKvSeqWi14Xh4hKDxMBEba8NobHNXQ4XxZDEwMBCTycTIyAjd3d3uLTU0Gg1Op9OdPJpMJtRqNYODgzQ0NKDX6/H39ycsLIzBwUEqKytpbW2lr6/PnTCeqCJ94s9k0/U/zeFw0NraSn19PY2NjXR0dDA0NIRKpXJXlk5MTMTf35/KykpefvllampqGB4exmw2c9VVV5GRkUFUVBQ6ne4CvutCXJ4keTwHn14f8GldXfD4Ewo/f0oSSCHE+fXXv/6ViooKnE4n8fHxrFq1irS0tNNO1xJCiNMJ/EztLC9DLnrPObhcAzjsbYzZqnEMdXP8uIKHxttd3XlsbIyuri7q6+vdeyl6eXlhs9kYGxvD6XSi1+tRqVTYbDZsNhsmk4mAgAAURaGvr4/y8nI6OjoYGBgAxpPRzMxMEhIS3FNSpyru5XA4aG5upqGhgaamJvr7+xkZGcHpdOLr60taWhqJiYlER0fT1tbGRx99RHl5OX19fe79GufNm0dcXBx6vf5Cvc1CzAiSPH5On10fMJnfPq+Qv0imsAohzp+IiAiSkpJITk7GbDZf6uEIIWaAzIzxWVMnpq7ax+oZGtoLigOVSo+HNpTIqPl87Q49AwN9NDQ0UF1djYeHB0ajET8/P0ZGRrBYLNhsNrRarXt/xhNVVNVqtXtNpMViobu7m/7+fhwOB35+fqSmpjJr1ix3wRuj0XjaMY+NjbkTxpaWFkZGRnA4HO6qq1FRUSQkJJCUlITdbmfv3r28/PLLdHR04OXlRVpaGnl5eSQnJ8uacCHOwrROHsvLy1m/fj2lpaXY7XYSExO58847+cIXvnDGfbhcLl555RU2btxIQ0MDBoOBvLw81qxZQ2xs7Oce22fXB0yms3O8XXbW534aIYSY4Nprr520YI4QQnxeGo2KB1fjnk2l0fjj5ZWFxsOMojhw2JvIX1jB7t1D6PV6/Pz8MJvNDAwMuIvjqNVqvLy88Pf3JyAgwL1lx+DgoPvO4sDAABaLhdHRUby9vYmPjycjI4OkpCQiIiKmnCY6NjZGY2MjDQ0N7rWJGo0Gl8uFoih4e3sTGRlJUlISJpOJAwcO8Pvf/56GhgbUajVJSUlcf/31zJ07V2ZrCPE5Tdvkcf/+/dx9991otVpWrlyJj48P7733Hv/5n/9JS0sL3/3ud8+on5/85Ce89tprJCYm8o1vfAOLxcK2bdvYs2cPr776KomJiZ9rfJ9dH3Cu7YQQYipSnEsIcaEULFbx86fgufUK7e0eOJ29jI4exug9ys1f9GbBAhOK4kd7eztlZWUMDQ2h0WgICAggISEBo9Honp5qsViA8S/we3t7aW9vZ3BwEL1eT2RkJNnZ2aSkpJzR3oijo6M0NTVRX19PW1ube9sOg8HA8PAwTqcTf39/kpKSiI6OprKyki1btnD06FEcDgfR0dGsWrWKvLw8/Pz8LsZbKcSMplIU5fRzLy8Bh8PBihUraG9vZ+PGjcyaNQuAwcFBvvrVr1JXV8fWrVunvHNYWFjInXfeSU5ODhs2bHB/o7Vv3z7uuusucnJyeOmll055/um+2S8uUbh/zdRv3brfqMjOkl/uZgq54zPzne01Pt1eYmfqTJ5vYnGucePFuVSytnoGklgzs03XOAPjX1K99XYVVcfrCDB5EhU5RmPj+FrCE5VKQ0JCiI6ORqfT4XQ6GRgYYGxsDL1ej06no7Ozk+bmZiwWC1qtlri4OLKzs0lPTz+jKtAjIyPuO4xtbW0oioLZbEaj0TA6OkpfXx86nY74+Hji4+OxWCwUFhZSXl7O8PAwQUFBzJs3j0WLFhESEnKub92MJXFm5rsQsWZa3nksLCyksbGRW265xZ04AhiNRr73ve+xZs0a3njjDR566KHT9rNp0yYAHnzwwQlTIRYuXEh+fj67du2irq6OuLi4sx5jZgb4+sL/re+elJ/veDshhDgXUpxLCHGxaDQqsrO86O5qpvJYJcWHhjCZTMTExLjvFI6MjNDb24tKpcJsNmM2m2lpaeHo0aN0dHTg4eExYYqor6/vlM87PDxMQ0MDjY2NtLe3AxAWFkZSUhKjo6O0tbVht9sJDw8nPT0dlUrFwYMHefPNN7FYLBiNRubOncuiRYs+96wyIcTUpmXyeODAAQDy8/NPemzRokUT2pzO/v37MRgMZGdnn/TYieTx4MGDnyt5PBPT7pauEOKyI8W5hBAXW01NDRaLhbS0NIKDg92VUS0WC97e49VWVSoVjY2NFBYWuhPG5ORkrrvuOrKzs89oTeHg4KD7DmNHRwdqtZqwsDCysrKw2+00NjbS2tqK0Whk1qxZ+Pr6cuzYMV5++WXa2trQ6XSkpKRw6623kpGRIXsxCnERTMufsvr6egBiYmJOeszPzw+TyURDQ8Np+xgeHqarq4vk5ORJ9zw7MeX1xHOdrbLy0991hPHHpWCOEOJcSHEuIcTFduJuX0dHBz09PYSFhZGRkYHL5eL48eO8++67dHV1odVq3XcYs7Ozz6hqqdVqpbGxkfr6erq6ulCr1YSHh3PVVVehVqtpaGigpKQEtVpNTEwMSUlJdHV18cEHH9DY2AhAdHQ0d9xxB9nZ2VNWZRVCnF/TMnkcHBwEwMfHZ9LHjUaje0rDqVitVnfbU/Xx6eeajJ+f3ykXco/abMCpz/1XO29MJtkzaCY5H2tPxPR2sa+xxBoxGYk1M9t0ijOfZbPZiI+PZ968eYyOjlJeXs7WrVvp7OzE09OTxMREbrvtNnJzc8/oDmN/fz91dXXU1tbS3d3t3kpjwYIFGI1G6uvrqaysZHR0FLPZTG5uLna7neLiYt577z1GRkYIDQ3ly1/+MgsWLCAsLOxc3w7xfyTOzHzn+xpPy+Rxuujv7z/lY576M5uU6qkford3+HwNSVxisrh85rsUhSwk1ojPklgzs023ODNZ22PHjlFcXIzFYsHLy4uoqCiWLFnCnDlz3GsYbTYbNptt0j76+sb3g6yvr6e3txcPDw8iIyPJzc3FbDbT1NTEvn376O7uxtPTk+DgYHx9famtreWDDz7AarXi5+fH7Nmzyc3NJTY21j0tVX42zg+JMzPfFVMw58RdwRN3Dz9rcHDwlHclTzjx+KnuLJ44/nmnO3x2Q93JBAdLwRwhxLmRWCOEuNgqKiooKysjKCiI6667jtTU1DOqktrb20t9fT319fX09/ej1WqJiooiKyuLsLAwurq6qK6uZteuXbhcLkwmE2FhYfT09LB37156enowGAzExMSQk5NDYmLilL/vCSEurmmZPJ5Yj9jQ0MCcOXMmPNbf309vby9ZWadf3GMwGDCbzTQ3N+N0Ok9a93hireNU232cymc31J3MA/eppICFEOKcSKwRQlxsJ6rSa7VaVKrTxxaLxeJOGK1WKzqdjujoaHJycggPD2dkZITq6moOHDjg3uvRaDQyNjZGZWUlPT09qNVqQkJCWLx4McnJyYSEhEz5vEKIS2NaJo+5ubn8z//8D7t372blypUTHtuzZw8A8+fPn7Kf+fPns3XrVoqLi8nNzZ3w2O7du93P9Xl9ekPdT98VCA4e/2VOSucLIc4HiTVCiIvJy8vrlNPdFEWhu7ub+vp6GhsbsVqteHp6Eh0dTV5eHuHh4bhcLhobG/nwww9pbW3F5XLh6emJTqeju7ub7u5uFEXB39+f/Px8kpOTiY2NRavVXoJXK4Q4G9MyeVy4cCFRUVG8/fbbfPOb3yQtLQ0Yn2r63//933h4eLBq1Sp3+56eHnp7ezGZTAQEBLiP33777WzdupXnnnuODRs2uPd63LdvH7t37yY3N/ect+koWKwif9F4pcNRmzee+iEyM6RkvhDi/JJYI4S4VBRFobOz050wDg0N4eXlRUxMDNHR0YSGhqJWq+nu7ubAgQPU1tYyNDSESqVCo9EwOjpKe3s7DocDg8FAWloaKSkpJCQknNEekEKI6WNaJo8eHh48/fTTfPvb3+ZrX/saN910E0ajkffee4/m5mYefPDBCUnfyy+/zPPPP899993H6tWr3ccXLFjAbbfdxqZNm1i1ahUFBQVYLBa2bduG0WjkySefPC/jHd9QF0wmvRSsEEJcMBJrhBAXi8vloq2tjYaGBhobGxkeHsZgMBAdHU1sbKx7auno6CjHjh3j+PHjdHV1MTw8jFarRVEURkdHcTgc7u04EhISSEhIcO8TKYS4/EzL5BHGE79XXnmFdevWsX37dux2O4mJiTzwwAN88YtfPON+nnrqKVJSUti4cSMvvvgiBoOBpUuXsmbNmnO+6yiEEEIIMdM0NTXx1ltvYbFYMBqNxMbGEhsbi9lsRqVS4XK5aGlpoaqqioaGBiwWC2q1Go1Gg1qtZmxsDKfTia+vL+Hh4SQmJhIbG+ueASaEuHypFEU5szrwV6CzLV8sJY9nPrnGM9+lKKEvsUZ8llzjmW26x5nOzk4GBgbw8/PDbDa7j/f391NdXU1VVRWtra3YbDY0Gg1GoxGNRoPT6USr1WIymYiPjycpKUmmpU5jEmdmvitmqw4hhBBCCHFpBAcHk5KSQm9vL3a7nbq6OiorKzl+/Dj9/f1oNBp3nQlFUXA6ne6iOYmJiYSHh8u0VCFmKEkehRBCCCHEBG1tbRw4cICysjI6OjpwuVwEBgaSmJiIh4cHo6OjqFQqgoODSUhIIC4uDr1ef6mHLYS4wCR5FEIIIYQQbkVFRbz77rtYLBYCAgJITk7Gx8cHm83G6Ogoer2e9PR0EhMT8ff3v9TDFUJcRJI8CiGEEEIIN51OR3JyMt7e3jgcDvr6+rBarROmparV6ks9TCHEJSDJoxBCCCGEcAsICMDT05POzk4CAwPd+2J7enpe6qEJIS4xSR6FEEIIIYSbVqslNTWVoKCg81LpVQgxc0jyKIQQQggh3EJCQkhNTZVtHIQQJ5EJ60IIIYQQQgghpiTJoxBCCCGEEEKIKUnyKIQQQgghhBBiSpI8CiGEEEIIIYSYkiSPQgghhBBCCCGmJMmjEEIIIYQQQogpSfIohBBCCCGEEGJKKkVRlEs9CCGEEEIIIYQQ05vceRRCCCGEEEIIMSVJHoUQQgghhBBCTEmSRyGEEEIIIYQQU5LkUQghhBBCCCHElCR5FEIIIYQQQggxJUkehRBCCCGEEEJMSZJHIYQQQgghhBBTkuRRCCGEEEIIIcSUJHkUQgghhBBCCDElSR6FEEIIIYQQQkxJkkchhBBCCCGEEFOS5FEIIYQQQgghxJQkeRRCCCGEEEIIMSVJHsVpbdq0iS9+8YvMnTuXxYsX8+ijj9LR0THlecuWLSMlJeWkPzab7SKM+swcPXqU9evXMzIyckH6f+ONN0hJSaGnp+eC9A9w00038eijj16w/s+Xbdu2sXr1aq6++mpSUlJ44YUXLvWQxDQlMefzu1JjTldXFw8++CDZ2dnk5OTwyCOP0NfXd6mHJaYxiTOf35UYZ3p6enj66ae57bbbmDNnDllZWZd6SJeUx6UegJi+Xn/9dX70ox9x11138dhjj9He3s5vfvMbjh07xhtvvIFaffrvHq6//nq+9a1vTTim0+ku5JDPytGjR3n++ef5+te/jpeX16Uezoz2zjvv0NTUxNKlS9m4ceOlHo6YpiTmiLPlcDj49re/jd1u55lnnsHhcPDLX/6S733ve7z88suoVKpLPUQxzUicEWero6ODbdu2kZGRwZw5c6isrLzUQ7qkJHkUp/T222+Tm5s74dsfvV7PmjVrqKurIyEh4bTnBwUFMXfu3As9THEZeO6559wfyJI8ilORmCPO1nvvvcexY8d4++23SUpKAiA4OJg77riDXbt2sXjx4ks8QjHdSJwRZyslJYW9e/cCsH79+is+eZRpqzPco48+yk033cSuXbv4whe+QEZGBl/72tdoamqir6/PPdVn+fLlbNu2bcK5DocDo9E44Zivry8AiqJckPGuX7+erKwsysvLufXWW0lPT2fFihX885//PKntxo0bWbFiBXPmzGHJkiX85je/weFwuB8fGBjgRz/6EVdffTXp6ekUFBSwZs0aYHzaxWOPPQbAwoULSUlJYdmyZWc11tP1/2ltbW18+9vfZu7cuVx33XVs3rx5wuM7duzgrrvuYuHChWRnZ3Pbbbfx8ccfn9RPcXExt9xyC+np6dx0003s3Llz0nGVlJTwzW9+k7lz5zJv3jx+8IMfYLFYzuq1nW9TfZMrZg6JORJzLmbM2blzJykpKe7EESA7O5uIiIhTjldc/iTOSJy5mHFGfoeZSN6NK0BXVxfPPvss9957L88++yzNzc08/PDDPPTQQyQlJbF+/Xpmz57Nww8/TEtLi/u822+/nd27d7Nt2zYGBwepqalh/fr1LFiwgMTExCmf96233nLPDf/Od75zxt/U2O121qxZw6pVq3j++eeJiYnhvvvuo6qqyt3mxRdf5IknnmDBggX8/ve/56tf/SovvPACTzzxhLvN2rVr2bFjBw899BAvvPACjzzyiHtqyZIlS7j33nsB+POf/8zGjRt5/vnn3eempKRMOd/+dP1/2sMPP0x+fj6/+93vSE1N5dFHH6W6utr9eHNzM0uXLuWZZ55h/fr1ZGdnc88997B//353m66uLu6++250Oh3PPfccd999Nz/96U/p6uqa8FwlJSX827/9Gz4+Pspz0GMAACAASURBVPzmN7/hZz/7GYcPH3a/1tNxOBxT/nG5XFP2I4TEHIk5Fyvm1NTUTHqnKDExkZqaminHIC5fEmckzsjvNpeIIma0H/7wh0pKSopSXV3tPvbiiy8qycnJyi9/+Uv3sf7+fiUtLU35y1/+MuH8jRs3KrNnz1aSk5OV5ORk5Y477lAGBgamfN6f/exnypYtW5SDBw8qb7zxhnLdddcp2dnZSmNj42nPW7dunZKcnKxs2rTJfczhcChLly5VHnroIfe/8/LylPvvv3/CuX/4wx+UlJQU93OsXLlSWbt27Smf6+9//7uSnJysWCyWkx5LTk5WfvjDH552rGfa/0svveQ+ZrValfT0dOV3v/vdpOc4nU7Fbrcr3/rWt9yvV1EU5Ze//KWSlZWl9Pf3u4/t2rXrpHF+/etfV77yla8oLpfLfayqqkpJSUlRduzYcdrXc+Ian+7PVO/JmUhOTlb+/Oc/n3M/YnqSmCMx52LGnGuvvVb58Y9/fNLxH/zgB8rNN9982nPF5UvijMSZS/W7zbp165S5c+eecfuZSNY8XgGCg4MnfDMbGxsLwFVXXeU+5uvrS0BAAO3t7e5j7733HmvXruW73/0u8+fPp6Ojg+eff57vf//7bNiwAY1Gc8rn/NGPfuT+e05ODosWLWLFihW88MILPPnkk1OO+dprr3X/XaPRsGzZMvf0jtraWnp7e7nxxhsnnLNy5Up+/etfc+jQIaKiopg1axb/+Mc/MJvNXH311SQnJ0/5vCecyTeJZ9p/fn6+++9Go5GwsLAJ7/OJxfp79+6lq6vLPW1m9uzZ7jZlZWXk5eW5p9ac6PfTU29GRkYoLi7mkUcewel0uo/HxcVhNps5fPgwBQUFp3w9r7/++pSv2WQynfbxT0+tUalUp/0/ImYuiTkScy5WzAEmLYqjKIoUy5nhJM5InLmYcUb8iySPV4BP/1ACaLVaAHx8fCYc1+l07nLTiqLwk5/8hNtvv5377rvP3SYpKYkvfelLfPjhh1x33XVnPIbg4GDmzZvHJ598MmVbrVaLn5/fhGOBgYHuaQz9/f3A+KL1TzObzRMe//GPf4yfnx8bNmzgmWeeISwsjHvuuYevfe1rZzzu0znT/j/7Pmu1WsbGxgBwuVzce++9WK1W7r//fmJiYvDy8mLdunW0tbW5z+nq6iImJuakMQQGBrr/PjAwgNPpZO3ataxdu/aktp/ubzJpaWlTvubTzftvbm7mmmuucf87IiKCjz76aMo+xcwjMUdiDlz4mAPj/9cGBgZOOm61Wk/6fyhmFokzEmfg4sQZMZEkj2JSPT099PT0nPRDl5ycjEajobGx8az7VM5wIbrdbqe/v39CkLVYLO4A6u/v7z72aScC8InzfHx8ePzxx3n88ceprKzkr3/9Kz/96U9JSkoiNzf3rMf/Weej/4aGBo4cOcLvfvc7li9f7j4+Ojo6oZ3ZbJ50Yfinj/n4+KBSqfiP//iPCX2dMNU3a5/+NvBUVq1axX/9139N+lhwcPCEb/imU+lyMf1JzJmaxJyTJSQkcPTo0ZOOV1dXs3Tp0in7F1cWiTNTkzgjpiLJo5hUQEAAXl5eVFRUcPPNN7uPHzlyBKfTSURExFn119HRQXFxMV/60pfOqP3777/PrbfeCoDT6eSjjz5yl8aOi4sjICCA7du3T/iGcNu2bahUKubNm3dSfykpKTz22GO8/vrr1NbWkpub6/6W8sQ3Zedisv7PxIlvQ0+MBaClpYWSkhL3FByAjIwM/va3v2G1Wt3f9u3evZvBwUF3G4PBwNy5c6mtrSU9Pf2sX8O5Tu3Q6XSf63mFAIk5Z0tizriCggK2bNkyoXBOaWkpLS0tp53KJq5MEmfOjsQZMRlJHsWkVCoVd9xxB3/9618xGo3k5eXR0dHB+vXriYqKmvChfOedd9La2sr7778PjO+htGPHDhYvXkxwcDBNTU388Y9/RKPRcNddd0353Fqtlt///vfYbDYiIyP529/+RkdHB/fccw8wvk7g+9//Pj/72c8ICAhg6dKlHDlyhHXr1nHLLbcQFRUFwFe/+lWuvfZakpKS0Gg0bN68Ga1WS05ODoD7F42XX36Z5cuX4+npSUpKCjA+5//mm2/mF7/4xSnHOVX/ZyI+Pp7Q0FB+9atf4XK5GBkZYd26dQQHB09od+edd/LKK6/wne98h+985zsMDAywfv169zeVJzzyyCPceeedPPjgg6xcuRJfX1/a29vZu3cvt9xyC3l5eaccy4VM/KqrqydUYauqquKdd97By8tLfsETgMQciTmfz3XXXUdKSgr3338/Dz30EE6nk2eeeYZ58+Zx9dVXn3P/YmaROCNx5vN65513gPHfZ5xOp/vf6enpZ/2lw+VOkkdxSmvWrMFkMrF582Y2bNiAv78/OTk5rFmzBoPB4G7ncrkmLGKOjIyko6ODX/ziF+5vkxYsWMD999/vDn6no9Vq+fWvf81Pf/pTqqqqiIyMZN26daSmprrbfOMb38DDw4O//OUvbNy4kcDAQO6++25Wr17tbpOdnc3mzZtpbm5GrVaTnJzMH/7wB3dgnTVrFqtXr2bTpk38+c9/JiwszL1Gz+l0Tlm6ear+z4ROp2P9+vU89dRTPPDAA4SFhXHvvfdSWFhIRUWFu11wcDB/+tOfePrpp3nggQeIjo7miSee4Nlnnz1pTK+88grr16/nsccew263ExoayoIFCyZdV3CxbN++fUK58M2bN7N582ZZFykmkJgjMedseXh48Kc//Ymf//znPPzww6hUKpYtW8b/+3//TwrmiElJnJE483k88MADk/577dq13HLLLRdlDNOFSjnTydpCXATr16/nf//3fykpKbnUQxFCXAEk5gghLjSJM2ImkfJCQgghhBBCCCGmJMmjEEIIIYQQQogpybRVIYQQQgghhBBTkjuPQgghhBBCCCGmJMmjEEIIIYQQQogpSfIohBBCCCGEEGJKss/jafT29p5Vez8/P/r7+y/QaMR0INd45jvba2wymc75OSXWiM+SazyzSZwR04Fc45nvQsQaufN4HqnV8nbOdHKNZ77L4RpfDmMU50au8cx2OVzfy2GM4tzINZ75LsQ1lv81QgghhBBCCCGmNG2nrW7ZsoVDhw5RUVFBVVUVdrudtWvXcsstt5xVPy6Xi1deeYWNGzfS0NCAwWAgLy+PNWvWEBsbe2EGL4QQQgghhBAzzLRNHn/729/S0tKCyWQiODiYlpaWz9XPT37yE1577TUSExP5xje+gcViYdu2bezZs4dXX32VxMTE8zxyIcTlyOlUKCuHUZsNT71CZgZoNKpLPSwhhBBCiGlj2iaPTz/9NDExMURERPDHP/6RX/3qV2fdR2FhIa+99ho5OTls2LABnU4HwM0338xdd93Fk08+yUsvvXS+hy6EuMzs/FjhufUKXV0AgwCYzfDgaihYLAmkEEIIIQRM4zWPV111FREREefUx6ZNmwB48MEH3YkjwMKFC8nPz+fgwYPU1dWd03MIIS5vOz9WePyJE4njv3R1weNPKOz8WLk0AxNCCCGEmGambfJ4Puzfvx+DwUB2dvZJj+Xn5wNw8ODBiz0sIcQ04XSO33E8nd8+r+B0SgIphBBCCDFjk8fh4WG6urqIjIxEo9Gc9PiJYjn19fUXd2BCiGmjrJyT7jh+VmfneDshhBBCiCvdtF3zeK6sVisARqNx0sdPHB8cHDxlH35+fme9P8r52MhXTG9yjWeOUZuNE2scT9/OG5NJf8HGIbFGTEau8cx2sa+vxBkxGbnGM9/5vsYzNnk8H/r7+8+qvclkore39wKNRkwHco1nFk/9mU1H9dQP0ds7POlj5yMoS6wRnyXXeGY72+srcUZcCHKNZ74LEWtm7LRVHx8f4NR3Fk8cP9WdSSHEzJeZMV5V9XSCg8fbCSGEEEJc6WZs8mgwGDCbzTQ3N+N0Ok96/MRaxxNrH4UQVx6NRsWDq0+/FccD96lkv0chhBBCCGZw8ggwf/58hoeHKS4uPumx3bt3A5Cbm3uxhyWEmEYKFqv4+VOqk+5ABgfDz59SyT6PQgghhBD/Z0aseezp6aG3txeTyURAQID7+O23387WrVt57rnn2LBhg3uvx3379rF7925yc3OJi4u7VMMWQkwTBYtV5C8ar6o6avPGUz9EZgZyx1EIIYQQ4lOmbfK4adMmDh06BEBVVZX72IEDBwBYvnw5y5cvB+Dll1/m+eef57777mP16tXuPhYsWMBtt93Gpk2bWLVqFQUFBVgsFrZt24bRaOTJJ5+8uC9KCDFtaTQqsrPAZNKfsjiOEEIIIcSVbNomj4cOHeIf//jHhGPFxcXuKagRERHu5PF0nnrqKVJSUti4cSMvvvgiBoOBpUuXsmbNGrnrKIRwczqdHDt2jOjoaHfBLSGEEEII8S8qRVHOrFb9FehsyxdLyeOZT67xzNTa2kphYSGDg4PceOONBAUFnfG556OEvsQa8VlyjWe2S7FVh8QZ8VlyjWe+CxFrpu2dRyGEuNCGh4cpKiqitraW0NBQli1bRlxcnHyYCiGEEEJMQpJHIcQVR1EUKisrKS4uRq1Wk5+fT2hoKGVlZdhsNkJCQi71EIUQQgghph1JHoUQVxSLxUJhYSFdXV0kJyeTnp7O8ePH2bdvH3q9nuzs7Es9RCGEEEKIaUmSRyHEFcFut1NSUsLRo0fx9/fnhhtuYHBwkO3bt2Oz2Zg9ezbp6ekEBwfLtFUhhBBCiElI8iiEmPHq6+s5ePAgNpuNnJwcAgICOHjwIBaLhbi4OLKzs6XCqhBCCCHEFCR5FELMWAMDA+zfv5+Wlhaio6OZNWsWx44d4+DBgwQFBbFixQpZ3yiEEEIIcYYkeRRCzDgul4uKigrKysrw8vLi6quvpq+vj/fffx+9Xs/VV19NfHw8KpXqUg9VCCGEEOKyIcmjEGJGaW9vZ9++fQwMDDBr1iy8vb0pKirCbrczZ84c0tPT8fA4OfSNjY1RWVlJbGysTGEVQgghhJiEJI9CiBlhdHSUoqIiqqurCQ4OJi8vj6qqKnp6eoiPjyc7Oxuj0XjSeQ6Hg6NHj1JRUYHD4SA8PPwSjF4IIYQQYvqT5FEIcVlTFIXjx49z6NAhADIzM+nt7aWwsBCz2czKlSsxm80nned0OqmsrOTw4cPYbDaSk5PJyMggIiJCqq0KIYQQQkxCkkchxGWrt7eXffv20dnZSUxMDDqdjsOHD2MwGFi8eDHx8fEnneNyuTh+/Djl5eUMDw+TmJhIRkaGTFUVQgghhJiCJI9CiMuO3W6ntLSUI0eOYDQaSUpKoqmpCYfDQWZmJrNnzz5pXaOiKNTW1lJaWorVaiUuLo6srCx8fX0v0asQQgghhLi8SPIohLisNDY2cuDAAUZHR4mKimJgYIDjx4+TmJhIVlYW3t7eE9orikJjYyMlJSX09fURHR3NsmXLMJlME9rV1TXwj83FBAamkp6eSmYGaDRSjVUIIYQQ4gRJHoUQl4XBwUH2799PU1MTAQEBeHp60tjYSEhICDfddBNBQUEnndPc3ExJSQkWi4WIiAjy8/NPatfd3c1f/nKQV149gtVqxegThLdRwWyGB1dDwWJJIIUQQgghQJJHIcQ053K5OHLkCKWlpajVagICAujr68NgMLBkyRJiY2NPOqetrY2SkhI6OzsJCQnhhhtuIDQ0dEKbwcFBSkpK+Mc/ynjr7S40Hv4YvBfi6ZUBQFcXPP6Ews+fkgRSCCGEEAIkeRRCTGMdHR0UFhbS09ODt7c3drsdq9VKVlYWaWlpJ61r7OrqoqSkhNbWVoKCgrj22muJiIiY0MZut3P48GGKi4tpaWnhnzv1eBoyMRhy0eomtgX47fMK+YtkCqsQQgghhCSPQohpZ3R0lOLiYqqqqtBoNGi1WoaHh0lKSiIrKwuDwTChfU9PD8XFxTQ3N2MymVi2bBnR0dET2pzY0qOoqIi6ujoAtNoEPLQ5GIyJOBydDPRvRauNxMuQ6T6vsxPKyiE768K/biGEEEKI6UySRyHEtHJiz8bBwUE8PDxwOp2EhoaSm5tLYGDghLb9/f2UlJRQX1+Pr68vixcvJi4uDpVq4l3ClpYWDh48SGVlJTabjfDwcLKzs+nonM1b24aw9m9jaGgPNls1Rp9rJySPAJaeC/6yhRBCCCGmPUkehRDTQl9fH/v27aO5uRlFUVCr1fj4+JCTk0NMTMyEtgMDA5SXl1NTU4O3tzeLFi0iISEBtVp9Up8HDx7kk08+oa+vj6CgIBYuXEh2djYqlYo9ez+go/1Dxmw1uJQRPDRB6HQT71gCBAZc0JcuhBBCCHFZkORRCHFJORwOysrKOHz4MFarFQ8PD3x9fcnMzCQtLQ2NRuNuOzQ0RHl5OcePH8fT05P58+eTnJw8oQ3AyMgIpaWllJaW0tnZiY+PD3l5eeTk5ODr68tHH33E9u3bqaurx+Wwo1abMRqvxcfnBnT62Al9BQdDZsbFeCeEEEIIIaY3SR6FEJdMc3Mz+/fvd99t9Pf3JyUlhblz5+Ll5eVuNzIywuHDh6msrESr1TJv3jxSUlJOKpjjcDg4evQohw4doqmpCa1Wy+zZs8nNzSUsLIwPP/yQt956i6amJlQqFWZzEKtWzWXHxzkoOBge3ofT2YPBO8fd5wP3qaRYjhBCCCEEkjwKIS6BoaEhDhw4wJEjRxgaGsLX15e4uDhyc3MJCPjXHFGbzUZFRQVHjx5FrVaTkZFBWloaOp1uQn+KolBXV0dRURE1NTU4nU6io6PJyckhNjaWnTt3snbtWpqbm9FqtURGRpKcnExCQgIulwuDoYp/fmzANpaOXp8CjN9xfOA+lWzTIYQQQgjxfyR5FEJcNC6Xi2PHjnHgwAFaW1vR6/UkJCQwf/58oqKi3O3sdjtHjhzhk08+weVykZaWxpw5c9Dr9Sf12dHRwcGDBzl27BhDQ0OEhYWRmZlJfHw8Bw4cYN26dbS0tODl5UVCQgJhYWGYzWY0Gg09PT1ERkZy7705/PSn4ZQfVjFq88ZTP0RmhmzPIYQQQgjxaZI8CiEuiq6uLvbs2cPRo0fddwbnzZtHWlqau9CNw+GgsrKSw4cPMzY2RkpKChkZGROmsJ4wMDDAoUOHqKiowGKxEBAQQFZWFnFxcRw+fJgNGzbQ0tKCt7c3aWlpeHt74+Xlha+vL97e3iQlJZGcnIyPj4+7z+wsMJn09PYOX7T3RQghhBDiciHJoxDigrLZbBQXF7Nv3z4sFgvh4eHMmzePuXPn4unpCYzfkTyRNI6OjpKUlER6ejpGo3HS/srKyigtLaW9vR0vLy+ysrKIioqivr6eZ599lubmZnx8fJg1axYqlQpFUTCZTCQnJ5OSkkJMTMxJRXaEEEIIIcTpSfIohLhgampq2LFjB9XV1fj5+VFQUEBubi4mkwkYTxpramooKytjcHCQhIQEMjMz8fX1PamvE1NeDx06RGNjIyqVioSEBEJCQujs7GTDhg00NzdjNBpJTk7G6XQyMjJCXFwcCxYsIDU11f28QgghhBDi7EnyKIQ47/r7+/n44485cOAALpeLuXPnsmjRIiIjI4HxAjf19fWUlJQwMDBAbGwsy5cvx9/ff9L+Ghsb2b9/P7W1tYyNjRESEoLJZGJoaIi33nqL1tZWPD09iY6OZmxsjOHhYdLS0rjmmmtISkpCq9VezJcvhBBCCDEjSfIohDhvHA4HpaWlvP/++3R1dZGYmMiSJUtITU11r2tsbGykpKSE3t5eIiMjKSgoIDAwcNL+LBYLBw8e5OjRo1itVnx8fAgICMDhcFBYWEhbWxsqlYqgoCBcLhdjY2PMnTuXFStWEB0dfVZjVxSFxsZGnE6nTGkVQgghhJiEJI9CiPOipaWFt956i2PHjhEUFMStt97KvHnz3BVSW1paKCkpobu7m7CwMG688UaCg4Mn7WtwcJCSkhLKy8vp7u7Gw8MDg8EAQF1dHc3NzYyNjeHt7Y1Op0On05GZmclNN910yj5PRVEUGhoaKC0tpbu7m2uuuYa4uLhzezOEEEIIIWYgSR6FEOdkeHiYDz74gF27dqFSqVi2bBkFBQX4+fkB41tplJSU0N7ejtls5vrrrycsLGzSvux2OxUVFRQXF9Pa2sro6CgajQadTsfAwACNjY0MDg7i5eVFUFAQPj4+pKamcu211xIeHn7WY29ubqa4uJiqqio6OzuxWq2EhIRI8iiEEEIIMQlJHoUQn4uiKJSUlPDmm2/S3d1NRkYGK1euJCIiAoDu7m5KSkpoaWkhICCA5cuXu9c8TtbX8ePHKSoqora2lt7eXhRFwcfHB41GQ1VVFT09PRiNRmJjY/H39ycuLo6FCxcSFxeHSnV2+zG2tLSwb98+ioqKaG9vx+VyERgYyKJFi1ixYsU5vzdCCCGEEDORJI9CiLPW3t7O66+/zpEjR4iIiOCee+5hzpw5qNVqent7KSkpobGxET8/P5YsWUJMTMwpE7yWlhb3usbW1lYcDge+vr4YDAbq6uro7u7Gz8+P7Oxs/Pz8CAoKIjMzk7S0NDw8zi6ENTY2sn37dg4cOEBPTw++vr7Mnj2bRYsWMX/+fJxOJyaTCavVej7eJiGEEEKIGUWSRyHEGRsbG2Pr1q189NFH6HQ6br75ZgoKCtDr9QwMDFBaWkptbS0+Pj7k5+eTkJBwyqSxr6+PgwcPUlJSQm1tLTabDX9/f3x9fWlqaqKnp4eAgACuueYa/P390Wg0pKSkkJmZ6d4f8kw4HA7KysrYtm0bZWVl2Gw2YmJi+MpXvsLixYsJDg6mqamJHTt20NrayoIFC0hJSTlfb5kQQgghxIwhyaMQ4owUFxfz97//nd7eXnJzc1m1ahX+/v4MDg5SVFREdXU1BoOBhQsXkpSU5K6u+lkjIyOUlZWxZ88ejh49is1mw2g04u/vT1dXFwMDA4SEhPClL30JPz8/hoeHiY6OJicnZ9L9HyfjcrlobW11V36tr6/Hw8ODWbNmceONN5KRkYHVaqW2tpYdO3YwNjZGcHAwCxYsYN68eQwODp7Pt04IIYQQYkaQ5FEIcVrt7e28+uqrHD16lJiYGO666y4SExMZHh6msLCQqqoqdDodubm5pKSknHKbC4fDwZEjR/jwww8pLy9ndHQUvV6PwWDAarXS2dlJZGQkK1euxNvbm56eHgwGAwUFBYSEhEw5TkVR6OzspK6ujsOHD1NcXExbWxs+Pj4sX76cG264gaCgIOrr63nnnXfcW3+kpaWRkJCAt7c3LS0tkjgKIYQQQpyCJI9CiEnZbDa2bNnCzp078fT05Otf/zr5+fmMjY1RVFTEsWPHUKvVZGVlkZqailarnbQfRVGorq5m+/btlJSUMDAwgIeHBzqdDpfLxfDwMFFRUcybNw+j0UhHRwc6nY6CggJiY2OnLIbT09NDbW0t9fX1tLS0UFVVhcViwc/Pjy9/+cvk5+djs9k4fvw4e/bsQafTERsbS35+PsHBwfT09HDkyBHq6uqw2WwsXbqUmJiYC/GWCiGEEEJc1iR5FEKcpLCwkDfeeAOr1Up+fj6rVq3Cw8ODsrIyjhw5AsDs2bOZPXs2Op3ulP00NTXx5ptvcvDgQXp6elCpVGi1Wry8vDAajYSGhjJr1iyMRiNdXV2MjY2Rk5NDamrqKe9gAgwMDFBXV0dtbS39/f1YrVaam5tpb2/H39+fW265hdmzZ9PZ2cmuXbtQFIWIiAgKCgqIiorCbrdTW1tLYWEhvb29GAwGkpKSiIiIIDExkaGhofP+ngohhBBCXO4keRRCuDU2NvLqq69SU1NDQkICq1evJiwsjKNHj1JRUYHD4SA1NZX09PTTFq1pbW1ly5Yt7N+/n87OThRFQafTYTabCQ0NJTAwkPDwcAIDA7FYLLS3t5OamkpGRsYp+x0eHqa+vp66ujq6urrQaDSoVCrq6upob2/Hx8eH66+/nsjISFpbWzl48CABAQHk5OQQGxuLp6cnzc3N7Ny5k5aWFgCio6PJyMjAbrdTV1dHRUUFVquV5OTkC/L+CiGubE6nQlk5jNpseOoVMjNAozm7rYaEEOJSkuRRiDMw0z/wrVYrW7ZsYe/evfj4+PDv//7vzJ8/n8rKSvbu3YvNZiM5OZmMjAwMBsMp+2ltbeXtt99mz549tLe343A48PLyIioqioSEBHx9ffH29iY0NJSBgQGam5uJjY0lOzt70mI4Y2NjNDQ0UFdXR1tbGyqViuDgYEwmE0eOHKGxsRGj0UhOTg7+/v4MDQ3R3t5OQkICiYmJmEwmenp6qKiooLa2ltHRUQIDA8nNzXUnk3v27MHhcBAQEEBMTAzx8fEX8q0WQlyhdn6s8Nx6ha4ugPG11WYzPLgaChbPnM8TIcTMJsmjEFOYyR/4DoeD3bt3s23bNoaHhykoKOCmm26iubmZN954g+HhYRITE8nIyMDHx2fSPhRFoampie3bt7N7927a29ux2+0YjUb33USNRoNarSYiIgKbzUZTUxNms5kbb7yR4ODgk8bU0tJCbW0tzc3NOJ1OwsLCmDVrFn19fezfv5+Wlhb0ej1JSUn4+fmh0+kICQkhPj6e8PBwxsbGqK2tZffu3VgsFry8vEhISCA4OJju7m4qKirchXEMBgN6vZ6enh4aGxsJDw+XrTqEEOfVzo8VHn9COel4Vxc8/oTCz5+6/D9PhBBXBkkehTiNmfqBrygKx44dY/PmzTQ2NpKcnMyXv/xl7Ha7uxJpXFwcWVlZp9wew+l0Ultby3vvvcfevXvp6OjA4XDg4+NDRkYG8+fPx+VyYbPZCA8PR6PR0NzcjNFoZMmSJcTGxrr7crlctLW1UVdXR0NDA3a7naCgILKzs9FqtRw/fpx3332XxsZGNBoNoaGhREREEBUVRXx8PDExMXh4eNDa2srOnTtpamoCIDIykrS0NGw2G3V13WhYgAAAIABJREFUdRQXFzM0NIRer0ej0eDp6ele3zg6OopOp8PDQ8KiEOL8cTrHv4A8nd8+r5C/aGbNaBFCzEzyW5IQpzBTP/A7OjrYunUrJSUl+Pv7c9ddd2E2mykuLqavr4/o6GiWLVuGyWSa9HybzUZlZSUffPCBuxCOw+HAaDSSkpLCVVddBUBfXx/BwcF4e3vT1NSERqM5aTuPrq4ud6XUkZERfH19mT17NlFRUXR0dPDJJ59w+PBhmpubURSF6Oho0tLSmDVrFnFxcfj4+NDX10dZWRm1tbWMjIwQEBBAdnY2er2e+vp6tm7dSl9fH2q1GoPBQEBAgPu1DQ0NMTY2hl6vJzU1lbi4ONLS0ujr67s4F0MIMeOVlfN/M1dOrbNzvF121sUZkxBCfF6SPApxCjPtA99qtbJr1y527tyJ3W5nyZIlzJkzh6qqKo4cOUJERASLFi3CbDaf8vzS0lJ27NjBJ598gtVqxel04u3tTWJiIldffTU6nY62tjZMJhMJCQm0tbXR3d1NWloaGRkZ6PV6+vr6qK2tpa6uDqvVisFgID4+nvj4eLRaLceOHePNN9+koqKCzs5ONBoNiYmJLFq0iDlz5mA2m913Equrq+nu7sbT05O4uDhMJhMNDQ288847dHZ24nK5CAwMJDk5mYiICGA8Yezs7ESlUrnvXEZGRroT2qm2BhFCiLNh6Tm/7YQQ4lKS5FGIU5gpH/h2u52ysjLef/992traSElJIS8vj87OTvbt20dISAg33HADoaGhk55vsVjYvXs3hYWF1NfXY7PZcDqdeHl5ER0dTUFBAQEBAdTV1eHl5UViYiLd3d3U1NQQFxdHdnY2KpWKqqoqamtr6e3tRa/XExMTw1VXXUVoaCgdHR2UlJRQWlpKXV0dfX19eHl5MX/+fK655hpSUlJQq9W0tLSwY8cOGhsbURSFyMhIsrKyaGlp4Z///CctLS0oikJoaCgLFy50V03t7u6moaHBvX5y4cKFxMbGnnabESGEOB8CA85vOyGEuJQkeRTiFC73D3xFUaiuruaf//wnx44dIyAggBtvvBFFUaioqCAoKIhrr73WfUfus+fW19fz0UcfUVFRQW9vL06nE5fLhUajISIigqVLlxIZGcnx48cZGhoiISEBq9VKdXU1ISEhLF++nMHBQXbv3k1HRwceHh5ERUWRnZ1NeHg4ALW1tbz00kscP36ctrY27HY7/v7+rFixguuuu47g4GD6+/spLS2lpqaG4eFh/P39iYqKwmKxsG/fPpqamlCr1URHR7NixQoyMjJQq9U0NjZSXl6OzWbDZDKRlZVFbGwsRqPxYl8KIcQVLDNjvMja6WayBAePtxNCiOlOkkchTuFy/sBvb29nz549lJSUoCgKWVlZ+Pj40N7ejslkYtmyZURHR590ntPppKSkhI8++oj6+noURcHDwwNFURgdHcVsNrN48WJSU1Opqqri2LFjxMXF4XQ6qa6udlc1HR0d5cMPPwQgIiKCxYsXExUVhVarZXh4mMLCQvbs2UNLSwtjY2Oo1WoiIyOZN28e+fn5GAwG6urqKCoqcu8T6e3tDUBZWRnt7e2oVCri4+O57bbbyMnJQaVSUVNTw/79+7FarRiNRpKTk4mPjz/l+k0hhLjQNBoVD65m0uJrJzxwn+qyWjsvhLhynVPyODIyQm9vL/7+/hP2frNarfzxj3+kqqqK8PBwvvWtbxEVFXXOgxXiYrocP/AHBgYoKiqiqKiInp4eQkNDCQoKwuFw4HK5WLx4MXFxcSet6xseHmbnzp3s3r2b7u5uTCYTZrOZjo4O2tvbCQgI4JprriE7O5vjx49TWlpKdHQ0er2empoad7I2OjpKTU0NISEh5OXlERsbi6enJwBtbW3s2LGD0tJSBgYG3MVr/P39mTVrFllZWdhsNsrLy6mrq6O/vx8PDw+cTifd3d309PSg0+mIiIigoKCA7OxsPDw8qKurY9euXVgsFnQ6HXFxccTFxRESEiLrF4UQ00LBYhU/f4pPbfs0Ljh4/HPkcqzaLYS4MqkURTl9OcnT+PWvf82f/vQnXnvtNdLT04HxTb1vvvlm6urqONF1YGAgW7ZsISgo6PyM+iLp7e09q/Ymk+mszxHT38R9HsdNtw/8sbExysvLKSoqoqmpCS8vLwICAtDr9fj5+ZGZmUlCQgJqtXrCeW1tbbz//vsUFRVht9tJSEjA09PTPY3Uz8+P+fPnk5eXR0tLCx0dHYSGhmIymSgrK6O1tRWdTkdwcDDBwcHEx8dPmBrqcDgoKipi165d1NbW4uHhQUxMDN7e3uh0OqKiokhKSqK3t5dPPvmE5uZm7HY7arUal8vFyMgIHh4emM1mMjMzmTVrFn5+fjQ0NFBXV0draysajcZd+CYiIsJd+ObzOtuf4/NxV1NijfgsucYzk9OpUFYOozZvPPVDZGacWbVuiTPiQpBrPPNdiN9pzunO4/9n782D3Lzv+/4X7nNxLLC4sTfJXS65vEnxkHXYlnworq14XLdTxZrETZzWHsee/Nl2pqnTdDr9TSaRJxPH046UOGmdTBs3cSLrik6KN3dJ7sW9gcViscDivo8H+P3B4FutRYqklxSPPK8ZjIYE8OBZPNyvnvf38/m836dOnSIQCAjhCPDTn/6UxcVFHnnkEf71v/7XvPPOO7z00ku8+OKL/PZv//ZWPk5G5p7w2CcUnDjOL/Q//LtNq9Vibm6O8+fPs7i4SL1ex2w209HRgdPpZPfu3Wzfvn2ToGq1Wly5coXXX3+dq1evotPpOHjwIDqdjrNnz4osxscee4xjx46RTqe5ePEinZ2dBINBxsbGCIVCWCwWdu7cyfDwMP39/dhsNvEZa2trvP3225w7d45CoYDX6+UTn/gEarWaYrGIw+HAarWyvLzMe++9R6FQwGg0otfrMRgMSJKEzWZj27ZtDA4O4vP5WFtbY3JykpWVFWF8c/z4cXp6eu6I8c3/u6mrote17ptrLCMj8/AgSXVs1mtrrMvlutenIyMjI3PbbEk8rq2tMTw8vOnvXn/9dZRKJf/lv/wXPB4Px48f55133uHtt9+WxaPMA4tKpWD/PrDbdaTTpXt9OsC137+zZ8+ysLBANpul2WxiMpno6elhdHSUHTt2bAq8L5VKvPfee8LAxul08qUvfQmlUskbb7zBysoKOp2ORx55hGPHjlGv17l8+TIKhQKdTseFCxeIxWI4nU6eeeYZ9u/fvynWo1Qqcfny5U1VxtHRUXbv3k02m2V1dZVqtUqtVmNmZoZMJoPFYqGrq4tAIEC9XsdgMNDV1cXAwAB9fX3kcjkWFxd5//33qVarIsOxt7dXzEDeCTZXlwvAtXnX3/oW9011WUZG5sGkWq2ysrLC8vIy0WiUZrPJ7t27ZfEoIyPzQLIl8ZjNZrFYLJv+bmxsjO3bt2+y/d+xYwfvvffeVj5KRkbmH2nPNc7NzZFIJMjn8yIL8cCBAwwPD2+qxLXjLS5cuEC5XGZwcJAvfvGLVKtV/v7v/57l5WU0Gg379u3j0KFD6HQ6JicnSSaTaDQa4vE4mUyG7u5uvv71r3PgwAHR/tpoNAiHw5w9e5bx8XEymQwej4cvfelLDA0NiQrnxsYG5XIZAJPJxMDAAPv27aPZbFKtVjEajQwMDDAwMADAwsICf/d3f0ehUBDGNwMDA5uqm3eKt99pXXeuNZG4Nu/6u78jC0gZGZnbo1wuEw6HCYfDrK2t0Ww2cbvdHDx4kO7uboLBoNwuKCMj80CyJfHY1dVFPB4Xf56bmyOdTvPMM89sep1sWiEjs3VqtRqXLl1iamqKRCJBPB6nXq/T29vLiRMn2LVrFzqdTrx2enqat956i/n5eVQqFXv27OGJJ55gY2NDtJer1Wp27tzJ3r17MZvNXLx4kbW1NbRaLUqlkkajgc/n41/9q3/F0NAQSqWSVqtFLBZjdnZWtLlqNBoGBwc5fvw4SqWSt956ix//+Mdks1l0Oh0+n4+RkRH8fj8KhYL19XXq9To9PT309/eLOcZ33nmHVCqFTqejt7eX/v5+XC7XXVtDJOlaxfGj+IPvtzhxXG5hlZGR+WhKpRKhUIhwOEwsFgPA4/Fw+PBhuru7qdVqrKys8O6772KxWDh+/Pg9PmMZGRmZ22dL4nF4eJi3336b6elphoeHefHFF1EoFDzxxBObXhcKheT2DBmZX5Bms8ns7Czj4+MkEgnW1tZEhe9Tn/oU+/btw2AwAJBMJhkfH+f9999nbW2Nzs5OnnrqKY4ePcrKygr/63/9LxYWFlAqlfT39zM8PIxarebcuXNEo1EcDge9vb3UajUsFgujo6Ps2rULrVZLLpdjYWGByclJFhYWyOVy2O12Tpw4gdfrJZVK8T/+x/9geXmZRqNBd3c3J06coLe3F4VCQSQSIR6P4/V6xXui0SgTExOsra0J45t9+/bh9/s/ZO5zN7h0+aOjWADi8Wuv27/vrp+OjIzMA0ahUCAcDhMKhVhfX0epVOL1ejl69Ch+v590Ok0kEmFycpJ8Po9arcbr9W7yipCRkZF5kNiSePz1X/913nzzTX75l3+Zjo4Ostksw8PDPPLII+I1yWSSmZkZPv/5z2/5ZGVk7hX3ykxldXWVc+fOEY/HWVtbIxaLYTab+Wf/7J9x/PhxzGYzjUZDmOZMTEyQz+fx+/0899xz7Ny5k8XFRV566SUWFhYA8Pl8OJ1OlEolZ8+eJZfL0d3dzWc/+1kqlQrlcpldu3axd+9eNBoNi4uLLCwssLCwwMbGhshc3L17N1qtltXVVV5//XXi8ThGo5EjR45w9OhRFAoFsVhMmOuMjo7S09NDNptlYWGBU6dOIUkSPp+PEydO0N3dfUeMb26HZOrOvk5GRubhJ5fLCcGYSCRQKpViHXM4HCQSCSKRCGfPnqXRaGA2mwkEAgQCAbxeLyqVSna5lJGReWDZknjcs2cPf/RHf8R//+//nVQqxWOPPcZ3v/vdTRWDv/3bv8VkMvHoo49u+WRlZO4F98JMJZvNcu7cOcLhMOvr60QiEVqtFo8++iif//znsVqtZLNZzp49y7lz5wiFQigUCgYGBjh+/Djd3d3Mzs7y0ksvsbi4KARfW5ytrKxQq9UYHBzk8OHDpNNp1tbW8Hq9PPnkk5TLZXHcjY0Nstks1WoVvV6P2WzGbreTyWQIh8MkEglsNhtf+MIX6O3tJZ/Ps7i4iE6no6+vj/7+fprNJouLi/zd3/0dtVoNh8PB/v376evr25QR+3FjMpao1TaQGhtIUopGI4lOtwODcc+m1zk679EJysjI3Bdks1lCoRChUIhkMolKpSIQCPDoo49iMBhYX19nenqaZDKJQqHA5XKxZ88egsGgmNVutVokEglCoRAdHR0MDQ3d459KRkZG5vbZUs7jw46ciSRzIzOVNr/7O3c267FarTI+Ps7MzAzJZJJwOCwqgV/+8pdxu92Ew2Gmp6e5cuUKiUQCs9nMyMgIBw8exOl0Mjk5ydjYGMvLy5TLZSqVCgAWiwWTyYRKpaK7u5sDBw6QSqVYXFzEZrPR399PqVRieXmZdDpNPB4nnU5TrVbp6OggEAjg8Xgol8vMzc2xsbGBzWZjeHgYl8tF4h/7P/1+P4ODg5hMJpHHWCgU6OjooK+vj4GBAaxW6x37zm6VUqlEKpViY2ODjY0NUqkUxWKJP/5hi2JRj0rlQK12oNUNolJ1iPe5XPBX/1Nxw0qznL8mczeQr/G9J51OEwqFWF5eJpPJoFarCQaD+Hw+lEolsViMSCRCuVxGq9Xi9/vF83q9Hrg2drC+vi5mIUulEgaDgcOHD9PX13fL5yKvMzJ3A/kaP/zcdzmPMjIPMx+nmUqz2WRmZoZLly6xvr4u5hr9fj9f/vKX6e7uZm5ujjfffJOlpSVKpRI2m41Pf/rT7NmzB4PBwOTkJK+//jqLi4skk0nhwur1eunu7kapVGKz2RgZGaFarTI2Nkaz2cThcFCtVnn77bdJpVJkMhlhdNPf3y+MeOLxONPT06RSKSwWCwcOHMBgMNBoNGg0Ghw8eBCXy0UsFmN8fJx0Oi2qj319fbjd7i19R7dDuVwmmUxuehSLRQB0Oh1Op5PBwUEcDgdeXyff+70bx358+5s3Fo4yMjIPF8lkkuXlZUKhELlcDq1WSzAYZPv27UiSRCwW49SpUzSbTaxWKwMDAwQCAVwul+i6kiSJSCRCKBRiZWWFSqWC2Wymt7eXnp4eXC4XnZ2d8k27jIzMA8kdE4+SJJFOp6nVajd8jc/nu1MfJyNz1/m4zFQikYhoEW0LnY6ODv75P//nbNu2jbm5Od577z3i8TjNZhOXy8UTTzzByMgIAJcvX2ZycpL5+Xk2NjYoFototVqGhobYtm0brVYLSZJEhMeVK1eEsUO7ilgsFqlWqwC43W6eeOIJgsEgGxsbwjmwUCigVCrp6enBarXS0dHBwMAAwWCQTCbD0tISZ8+eFZXN/fv3fyzGN5VKRXxv7YpioXCtvVir1eJ0Ounv78fhcOBwOOjo6Nj0/p4eMBha/P4fNlmPZVEoDSiVOlyua8JRjumQkXm4SSQSLC8vEw6Hyefz6HQ6AoEAfX191Ot1VldXhdGY1+vl4MGDBAKBTVFljUaDlZUVIRjr9ToWi4Vt27bR09OD0+mkXq+ztrbG6dOnsVgsYg2XkZGReZDYsng8efIkf/zHf8z4+DiNRuOGr1MoFExNTW3142RkPjbutplKJpPh3LlzopqXzWZRKpUcO3aMwcFBVldX+Zu/+Rvy+TwKhYLe3l5GRkYYGhqiVCpx7tw5Ll68yMrKCul0mkajIYxpduzYQalUolgsigrbyZMnmZiYoFwuo1ar0el0qFQqNBoNDoeDgYEBduzYQaVSIRQKcfHiRUqlErFYjFqthtlspru7m8HBQXp7e5EkiaWlJX72s5/RarU+FuObarX6oYpiPp8HrgnFtlus0+mks7PzQzm0P08ul7tmqd9a4yvPRplfqBLsPsSe0Z0fmymSjIzMx0ur1SIejwvBWCwW0ev1eL1efD4f1WpVzIUbDAYCgQAHDhzA6/Wi0WjEcWq1GpFIhOXlZaLRKI1Gg87OTnbt2kVPTw82m410Os3q6irnz58XpmO5XI6enh5ZPMrIyDyQbEk8vvLKK3znO9+h2Wxit9vx+/0iMkBG5kHnVk1SbtdMpVKpMD4+zoULF4jH41SrVZGn2NvbS6VS4cyZM0iShEajYdu2bezcuZNt27aRSCT467/+a65cuUIymaTRaKDRaHC5XAwODtLT00OtViORSBAIBHC73bzyyitMTk4iSZJoYbXZbDQaDTo6OggGgxgMBjY2Nrh8+TI6nY58Pi/mfLq6ujhy5AjDw8PodDoikQjvvvuuML45ePAgvb29d9z4plarbaooflAotgVvd3c3DocDp9NJR0fHTfMgy+WycK1dW1sTwtzpdDI0tIMnnvAyNDRENpu9oz+LjIzMveV6s4dGoxG73Y7T6aRcLrO8vEyr1cLhcLBz504CgQAOh2PTulKpVITT6traGs1mk66uLvbu3Ut3dzd6vZ61tTWmpqYIhUJEo1EymQzFYpF6vU61WkWSJLq6uu7htyEjIyPzi7Ml8fj9738fgO9973s8++yzH0sum4zMx8We0Wuuqh/VuupyXXvdrdCeazx58iThcJhWq0W9XkehUODxeLBarSQSCRqNBkajEa/Xy65duwgGg1y6dIkXXniBubk54ZzqcrlQqVR0dXWJ9tBYLIYkSZRKJd58802i0SgGg4FDhw4xOnrtRNuziFarlWazSTQaRalUYrfbqdVqXL58mVKpRF9fH1/4whcIBAJijrFYLNLR0cHw8DD9/f13zPimVquRSqU2CcVcLgeAWq3G4XAQDAZxOp04HA4sFstNhWL7uOvr60SjUWKxmJgxstlsBAIBfD4fbrd7U6VUXsdkZB4O2utbOBwmHA5TqVQwGo2YTCYsFgv5fJ7V1VXUajU+n4+jR48SCAQ+tBFWLBbFMWKxGAAej4eDBw/S09NDtVpldXWV999/n3A4TDKZpFwuUygUkCSJWq1Gs9lEpVLhcrkBPz7/41wc+/hin2RkZGTuFFsSj6FQiEOHDvHlL3/5Tp2PjMx9g0ql4Le+xUe6rd6qmcrKygpvv/02MzMztA2Oc7kcer2eYDCIyWSiXq9jMBjo7u5m165dKJVKTp8+zQ9+8ANSqRQ2m43t27ejUCgoFAro9XoCgQD1ep3JyUkSiQTVapWNjQ3K5TJ+v5+vf/3rIusxnU6jVqsxm81Uq1Xi8ThWqxWHw0EoFOLs2bM0m0327NnDsWPHaLVaLC4uMjMzg16vp7e3l/7+flwu15a+13q9/iGh2K70qdVqOjs78fv97NmzB4fDgdVqvSWhCNdmr9uZmGtrayKX0mw2i2Buj8dzT+NBZGRk7h6SJBGNRkWFsVarodVqMRgM6HQ6isUipVJJdF0Eg0E8Hg8qlWrTca6X5ej1ejl69Chut1u0o7ZnyPP5PJVKhVKphCRJSJJEq9VCq9Xi8/kIBAIUigP89U80pNIVFD9bx2Teftdjn2RkZGTuNFsSj06nU74Jk3moeewTCn73d/hAzuM1btVMJZ1O8+6773L27Fmq1SpqtZp0Oi1mGP1+P7VaDY1Gw/DwMIFAQLSmXr16lUajQX9/P4cOHaJQKLC6ukqz2cRgMFCpVHjttdeEI2D7d3Hfvn08+uij6PV6FhcXOXPmDCqVCqVSSaPREEYOzWaTubk5IpEIBoOBo0ePMjAwQDqd5vz588KW/sCBA8Ka/nZpNBqb5hPbmZEAKpWKzs5OIeraQvF2PqfVapFMJoVYXF9fR5Ik9Ho9Ho+HwcFBvF7vTWcfZWRkHlwajQarq6vCrKZWq6FUKtHpdOh0OqrVKvV6XbT3fzB78YNkMhmR5ZhKpVCpVPj9fk6cOIHJZCKRSLCwsMC7775LJpOhVqtRLBap1WpIkkSz2QTAaDRisVjw+Xw4nU40Gg3nzhf5sx9N0aivITULqDVuTOZHSSSubVD+7u/IAlJGRubBYEvi8emnn+YnP/kJhUIBs9l8p85JRua+4rFPKDhx/JqraqVqQq8r3rTVqFwuc/r0ad566y02NjbQ6XSUSiWazSbBYFC4+KlUKnbs2IFOp2NlZUW4qhqNRo4cOUJvby+hUIjx8XEymQwKhYJqtSpuXDweD/v27UOtVtPR0UF3dzcajYalpSVyuRwqlQq1Wo1Wq8VisaBUKsnlcszOzpLJZDAYDOzfvx+r1Uo2m2VmZgafz8ejjz4qjnWrNBoN0um0qCYmk0kymQytVgulUimE4q5du3A6nbctFNtks1mi0aiYXazVaqjVajweD/v378fr9WK322+5WikjI/PgUa/XRRxGJBKhWq3SarXEmtVqtWg2mwQCAdGi3s5e/CDJZFIIxmw2i0ajIRgMMjQ0hEKhYH19nQsXLpBOp8nn8zQaDdGOKkkScK1jwmQy0dHRgd1ux2w2o1QqyWQyjI2NkUhs8PIrRcqlEkqlDpXajlYT2HQedyr2SUZGRuZuo2i1e+h+AcrlMs899xwmk4nvfe97BIPBO3lu9xw5UFfm57nZNZYkiUuXLvHyyy8zPz+PRqNBq9UiSRKdnZ309fUJp9P2zGE8HieVSlGpVDCZTOzatQubzcbY2BhXrlxhY2MDrVaLWq2mXq8jSRL9/f3s3buXSqVCtVpFq9Wi1WpFVIdKpcJisWC1WtFoNNRqNUqlEuVyWbzHaDSi1+s3xVncqvGNJEmi9bRdUfygUGybULTjMex2+y88S1goFITBzdraGqVSCaVSicvlwuv14vF46OrqumOzincjUPdmyGuNzM8jX+MPU6vVRBzG6uoqxWKRVquFWq0WLaLteeafz15s03Zabbe1FgoFdDodwWAQi8VCo9EgFouJVtRGo0G1WqVYLApHeZVKhV6vR61Wo9frxaNSqZDNZonH4xQKBSqVCiqVCkmyc/Z8NzrddvSG3Wi0/uv+fH/4+wr277u+eJTXGZm7gXyNH37uxj3NliqPBoOBF198ka9+9at89rOfxe/343K5rrvjr1AoeOmll7bycTIy9zULCwv81V/9FZcuXRImOBqNRgiddr6gWq2mWq0Si8VotVqUSiUsFgu9vb1oNBrOnDnDwsICxWJRuAHW63WUSiVDQ0McO3aMSqXC0tIS5XIZpVJJPB6nXq9jMpnwer0YjUaazSaFQgG1Wo3RaKRcLou2TpfLhc/no7+/n4GBgY9s62xnuP68UGw2m0IodnV1MTQ0hNPpxGazfWh+6HaoVCpCLEajUeGw6nA46O/vx+v14na7UavvWEytjIzMfUqlUmFlZYXl5WVWV1eFkZZCoRDt+l6vF7/f/6HsxTbNZpNYLCZMb9pOq263m0AgIAxvZmZmRJ5tPp+nWq2Kzga1Wo3NZqPVaqFQKMQYQLsToh2X1Gq1sNvt9PX1sWPHDnbv3s38QjeLYQ2tVp16fY1i4X1QKDCZjm46z1809klGRkbm42RLd1/r6+s8//zzwt663fpxPeQWMpkHGUlq/WPbahW9brNDXjwe56WXXuL06dNIksSOHTvo6uoSOz1ms1m0m5pMJlFxXFtbI51Oo9frUSqVwvSmvVvtdDrFbvru3bt54oknyOfzXLhwgY2NDer1Oo1GA5VKhdfrxel0olAoKJVK5HI50b45PT0tZhgHBwfZu3cvAwMD17WKbzabHxKK6XSaZrOJQqHAbrfjcDjYvn07DoeDzs7OLQlFQOz0t9tQk8kkABaLBb/fL8Ti9VrOZGRkHj7K5bIwqwmHw2JOHK6tCx+sLv589mIbSZJYW1tjeXmZlZUVsf62uyJKpRLLy8tinKDZbJLNZqnVasK8zGg04nK5KJfL1Go1MpkM5XKZRqNBsVgUbasdHR309PTQ39/PyMgIvb3XmfSIAAAgAElEQVS9YqYyl8tx6fI8+dwKjfo6rWaFlgK02t4PnfPtxj7JyMjI3Au2JB5/7/d+j6WlJY4dO8Zzzz0n8uLuFJcvX+aFF15gfHycer3O4OAgX/va1/ilX/qlW3r/mTNn+JVf+ZUbPv/jH/+YvXv33qnTlXlIefud1gcMcwrAtQiPX3s+ycz0i7z99ts0m0327t3Lzp07mZ2d5erVqxiNRhwOBzabDZ/PR1dXF9FolIsXL5JMJrHZbASDQVQqFbFYbFPLqdFoxGazMTAwwIkTJyiXy7zxxhssLi5SqVTQarU4HA76+vqEe2qxWMRisTA8PEwul+P06dOEw2EsFguPPvooR44c2WR802w2yWQyHxKKkiShUCiw2Ww4HA4GBwdxOp3Y7fY7Uu1rNpskEgnRhppIJGg2m6KCMDw8jNfrxWQybfmzZGRkHgyKxaIQiwsLC5uMtex2u3AsvV72Ypt6vS6McyKRCPV6HaPRiNlspqOjg0KhIISkUqmkUqlQLBZF+2tHR4cwuGnPby8tLQmjsbbxmMlkoru7W6xXPT09otNEkiRisRhXr14lEon8YwvrtXW9Um7SalX/8SHRwafFud9O7JOMjIzMvWRLd4KnTp2ip6eHH/7wh1uuPvw8Z86c4dd+7dfQaDR8/vOfp6Ojg1dffZXf/u3fZnV1lW984xu3fKzDhw9z+PDhD/29x+O5k6cs8xDy9jutD0V11Goxpib+nN/4xlt0ByU+/anDnDhxgpMnT/KTn/wEjUbDtm3b2L59Ox6Ph2azydTUFD/72c8AGBwc5Mknn0Sj0XDx4kUuXLhAJpMRcRJOpxOv18vevXtRKpX83//7f7l8+TKNRoPOzk7RutmuZtbrdXp6ejAajYRCIf73//7fpNNpAoEAzz33HEeOHEGlUpHNZllcXBSGNqlUSuyct4Vif38/TqeTzs7OO9YW2mq1SKVSxGIxotEo6+vrNBoNtFotHo+HQ4cO4fP57lhmpIyMzINBoVAgFAqxtLTE3Nwc2WxW5Nh6vV56enqEYLzRLPbPz0FKkoRarUaj0aBWq0UnRptcLkepVKJUKqFSqbBarXg8HkqlEuFwmLm5OQqFa5uE7bbYdrWzvZnW3d2N3+8Xa1axWGRpaYmVlRXm5+dJpVLU63Xg2mZZq9Viz+4m772nAIWKFqBUbu6kuNXYJxkZGZl7zZbuDpvNJkNDQ3dcODYaDf7dv/t3KBQK/vzP/5ydO3cC8G//7b/lq1/9Ki+88AKf+cxn6O3tvaXjHT58mG9961t39BxlHn4k6VrFEaDValCtLpHL/DWl4vu0WjUMxkOodSeoVP6B3//930er1bJnzx5GRkbQ6/Ukk0nefvtt0uk0drudz3zmMxw/fpx4PM4rr7zClStXKBaLOJ1O9u7dS2dnJ0ajkZGREQwGA3/5l3/JpUuXhEHO9u3bsVqtVKtVGo0GgUAAs9lMuVxmamqKpaUlarUaPT09fOlLX6Kzs5NUKsVrr71GKpUSZg/tbMe+vj7Reno7rqq3Qi6XIxqNEovFiMViVCoV1Go1brebPXv24PV6b1g9kJGReXjJ5XKEQiFmZ2eZn58nm82KTod2Fe9G2YttyuWyEIxra2tUq1XhLN1qtWg0GmLNkSSJbDZLPp+nXq+j1+txOBx4vV4x55hMJqnX68Jwp7u7G7PZjNPpxOPxCAHr8XjEZyQSCc6dO8f09DQrKyvk83kxD9k21GkbiNXrdZyOCrtGckxO12nUNDQU1zorbjX2SUZGRuZ+YUvicc+ePSwuLt6pcxG02+2effZZIRzh2uzYv/k3/4bvfOc7/J//83/47ne/e8c/W0amzaXLEItlqZSvUiy8Sbl0jlarjlY3jE43RLUyxsLs/wcNJUeO7GLHjh0ix7FQKFCtVgkGg/zyL/8yPp+P2dlZfvCDH7CwsEC9XhcxGwaDAY1Gw/bt21EqlfzFX/wFExMTqNVqhoeHGR4eRqlUiraq3t5ems2muPGJRqOUy2WsVivbtm1Do9EwPT0NXJsPcjqd9PT0CKGo1Wrv+HdVKpVEG2osFqNQKKBQKOjq6mLHjh14PB5cLtcd32iSkZG5/8lmsywtLTExMSFihNRqNU6nk6NHj9LX10cgELhu9mKbD7a1tp1QlUqlMK9pry0ajYZyuUwmkyGXy4l10+v1imNcunRJxHJYLBb6+vqw2+3YbDZsNhsej+dDBjzVapXFxUUmJiaYnZ0lmUxSKpXQaDRoNBo6OjqEiU6lUiGVSpHP52k2m2g0GlwuF7/0S8P8+q/7SGzY0On9bBtU3DT2SUZGRuZ+Y0vi8Tvf+Q7/4l/8C/7sz/6M55577k6dE2fPngXgxIkTH3ru+PHjm15zKywvL/Onf/qnVCoVfD4fx44do7NTnkyXuT7NZpOVlRVee22GVGKcSmUCSSqi1nShVrup18JkyxcAFRptNwcOHeDIEScdHR1ks1kkSaK7u5vBwUG0Wi0LCwv8zd/8DWtraygUCoLBIF6vF6VSKVo38/k8L774IouLi+j1emFq084P83g8KBQKQqEQ09PTlEolcXNkNBoJBAIMDAzgdDo3RWTcDaEI11rF2m2oa2trYj7JbrfT3d2Nz+fD5XLdtc+XkZG5v0mn08zNzTE+Pk44HCafz2M2m/F4PJw4cYKenh78fj86ne6Gx8jlcsI4p+202haJZrMZnU6HRqOh1WqRy+VYX18Xc+Mmk4nOzk4SiQSTk5PE43EkScJgMOD1etm9ezcOhwOz2SzMufx+v6guAsRiMU6fPs3MzAyhUEhsiun1eqxWKx0dHUiSRLFYJB6PC0Gr1+vxer3s37+f7u5urFYrhUKBaDTKwsI8uVyOwcFB9u/7ysdyLWRkZGTuJFsSj3Nzczz77LP85//8n3nttdc4duwYbrf7hq1oX/ziF2/puMvLywD09PR86Dmr1Yrdbr+hq+v1+OlPf8pPf/pT8We9Xs+3vvUtvv71r9/yMWQeforFIrOzs8zNzRGNRhm7OEepuEZLoUKh0NGoJ6hVl1CgQqsdxNzxCfSGUZ54XI/ZFGZlZQWj0cjAwACNRoOJiQlRhWu3mVqtVlQqFRqNBoVCQTqd5o033iAWi2EymTh48CB9fX0YjUasVquo6J09e5ZKpYLRaKRWq9FsNrHb7Tz++OMcOHCArq6uj7wJ2yqNRoN4PC6qi8lkctOO/t69e/F4PHfUMEtGRubBYmNjg6mpKcbHx4lEIpRKJWw2G319fezevZuenp6bZrKm02lCoZBwSc3lciiVStRqNXa7nY6ODlQqFY1Gg0QiQTqdpl6vb6pAxmIxEokE+XwelUqFw+Fg9+7d+Hw+bDYbGo1GVBf9fr+oLmYyGU6fPs309DQLCwtidtFkMmGxWDCZTCICaW1tTThjm81m/H4//f399PT0YLFYyGQyrK2tMTU1JaKNWq0WRqMRv9/PyMjIx3VZZGRkZO4oilar1br5y67P0NAQCoWC9iFuJBrbcwDtVrqb8au/+qucPHmSV1999boC8lOf+hSxWIyJiYmPPM7c3BzvvPMOjz/+OD6fj1wux5kzZ/hv/+2/sb6+zn/8j/+Rr371qzd8fzvHTubhpdVqsbq6ytTUFKFQiGKxyNWrV5mamvpHgxklDUmHUmFAqTajUQcwmY9j6nicZjODXjvBb/5GBqVSQUdHh8gFUygU5PN5IRw7OjpQq9UiFyydTrO6usrGxgZms5menh7hMFqtVtnY2CCVStFqtfD5fAwMDKBUKsX85OHDh9m5c+ddyzpsNptsbGywurrK6uqqyIc0GAz4fD5x09XOrpTZGvJaI/Mg0mq1iMVinD9/nosXL7K6ukq9Xqerq4uRkRH2799Pb2/vTdeJRCLB0tISMzMzLC8vk8/nxRyk2+3GbDYD/689PpvNUi6XRcRGu000l8shSRI6nQ63200wGMTlcgn36mAwuKnzI5PJMDc3x5UrV5iZmSEWi1Eul9HpdFgsFhQKBWq1mnw+T6lUQpIklEolDocDv9/P9u3b6evrw2QykUqlxJx3JpNBkiRarRZ6vR673U4gEBDr5s0E9N1CXmdkZGTuBFsSjy+88MJtGV5885vfvKXX3SnxeCNmZ2d59tlnsVqtvPvuuzdcTNs5fbeK3W6/7ffI3BsqlQoLCwvMzMyQz+fJZrNMTExw9epVcrkcJpMJn8+HTtfHuQtOFAojOn0/RtNRmlKBSvky9doKTz1VY+ewHo1Gg8lkwuVykclkWF1dJZvNYjQaUSgUZLNZNjY2KJVK5PN5MpkMgMgca8dSVKtVDAYDgUCAkZERhoaGiEQizMzMoFQqGRkZYefOnXfc4Aau/XtvVxbX19ep1WpoNBrcbjc+n0/kRj7s3O7v8Z34TuS1RubnuV+vcavVIhwOc+HCBdFdoVQq8fl87Nq1i9HRUfx+/0euUa1Wi3g8zvLyMleuXCEajVIsFtFqtXR2dtLd3Y1Op0OSJFKpFOvr66TTaUqlEo1Gg0ajgSRJlEolWq0WkiRhMpno6uoSs91tx9a2YDOZTCSTSWKxGDMzM8zNzRGPx8lms2KEoG26Uy6XqVQqwLUZyrbBzuDgIL29vajVajKZjIhYao8rtOcb2x0Z7Yfb7f7QRp+8zsjcD8jX+OHnbqw1Wypb3C0H0/YuYz6fv+7zhUJhSxWP7du3s2fPHs6fP08oFKKvr+8XPpbMg0U8Hufq1assLS2J9sv5+XlWV1epVqt0dnbyiU98gsOHD+N2u1lfX2dwm4r3z+wnk9FSyL9JrTqPwVDlU580cfCAi56eHnw+H/F4nImJCTY2NoQj3/z8PNFolEqlQqPRoFwu02q1sNvtbNu2DY/HI1qtPB4PO3fupK+vD71ez+TkJG+88QaAEI13sjU1n88Lg5u1tTXK5TJKpRK3283IyIiIDZF3qmVk/mnTbDa5evUqFy5cYGpqimQyiVarpa+vjy9/+cuMjo7e1D252WyytrbG1atXuXLliqjyWa1WvF4vwWAQpVJJrVYjEokQiUTI5XJUKhWq1eom8dXueLLb7VgsFqxWK06nE5fLJcSiw+EQwvOtt95idnZWxBQ1Gg2azSYqlQqtVku1WqVUKgFgMBhwuVy43W62bdtGd3c3SqWSbDZLLBbjzJkzwrm1jdVqpaurS4hFj8dzV8cIZGRkZO4ld6fnbYu0IzhCoRC7du3a9Fy75W/fvn1b+oy2sm7vLso8vNTrdRYXFxkfH2dmZkbsNudyOTKZDK1WC6/Xy8GDB3nkkUfw+/0sLCywurrK4OAgBw44CAZOcvrMArWaArfbyROPj7Jt2yCBQIC5uTnef/99QqEQmUyGVColWqvarZ4qlQqdTsfQ0BDDw8O43W7q9ToGg4He3l5hdlOv15menmZiYgJJkhgaGmL37t3o9fqb/6A3oVKpiMri2tqa2JxxOp0MDg7i8Xiuu0MuIyPzT49arcalS5cYGxvj6tWrFAoFjEYjO3bs4Atf+AK7d+8WHRM3QpIkIpEI4+PjTE5OkkgkkCQJh8PBrl27cLlcIgf24sWLxGIxisUi5XIZhUKBTqfDYDBgNptptVo0m00AjEYjnZ2duN1uYbzjdDoplUqsr69z8eJFwuEwyWSSZDJJLpejWq3SbDZRq9XU63V0Oh2tVgutVovP58Pj8bBt2zbR0prL5TaJxVqtBiBmvdvdGO3Hzb4LGRkZmYeFO3aXGI/HGRsbIx6PC4v+ffv24XK5bvtYhw4d4gc/+AHvvfcen//85zc9d/LkSeBaduMvSqPRYGpqCoVCgdfr/YWPI3N/E4/HOXXqFBcuXCAUClGtVkWVr22wEAwG2b59O48//jg7d+5kcXGRs2fPYrFY8Pl8nDp1inA4jNFo5PixYZ544gkcDgcqlYqxsTF+8pOfMD8/L5z2CoWCyBLr6uoS2Y1tQ4W2Q2B3dzf9/f3iRqXRaDA5OcmVK1eo1Wrs2LGD3bt33zAY+1ao1+usr68LR9R224LVasXv9+Pz+XC73fIOuYyMDHBtc3ZsbIxLly4xPz9PrVbDZrOxZ88e9u/fz/Dw8E3jdur1OrOzs4yNjTEzM0MqlRIC7bHHHsNms1EqlZidneXChQskk0nhYqrVarFYLLhcLvR6Pc1mk1wuR6PRwGg04nA46O/vp7+/X2wAJxIJZmZm2NjYIJPJkE6nhVlOpVIR1VCj0YjJZBLtrW63m4GBAVwuF0qlkmKxSCwW4+zZsxSLRarVKnCtYmoymXA4HHg8HrxeLz6fD6vVetvfb6vVIp/Ps7Gxgd1u/ycxBiAjI/PwsWXxmEql+E//6T/x6quvil3BNkqlkqeeeop//+///W1FYxw9epRgMMhPf/pTfuVXfoXh4WHgWrvqH/3RH6FWq/nSl7606RzaRiIf/JyxsTH27t27qZWm0WjwX//rf2V1dZVHH330I3OlZB48EokE58+f59y5c1y9epVyuSxmCC0WC7lcjtXVVQB2797N008/zYEDB4jH47z55ptks1kajQbT09Ok02ncbjdPP/00wWAQuCZIX3/9daampohEImSzWZrNptjVbucwejweqtUq9Xodq9VKIBCgp6eHgYEBgsGgqO5JksT09DRXrlyhXC6zbds2RkdHRev27SBJEolEQlQWNzY2xI2P1+tl165deDweeYdcRkYG+H+GN2NjY1y+fJlwOIwkSXi9Xh577DEOHTp0Xd+Bn6dUKjE+Ps6lS5eYm5ujWCxiNpsZHBzkxIkTaDQaIpEIZ86cIRaLkc/nkSQJtVqNzWajp6cHl8uFRqMhl8uRTqfJ5/NiPR0ZGaGrqwuVSkU+nycUCjExMUG5XCadTrO+vk48HqdQKIh21Pa690GxGAwG6erqEnONbbOfUqlEpVJBqVQiSRJ6vR6n04nH4xGC8WZtuTf6XjY2NlhbWxPusdlslmKxSF9f310b/ZGRkZG5m2zJMCefz/OVr3yFpaUl9Ho9x48fx+/3AxCNRjl58iTlcpm+vj7+8i//8rbmFE+fPs3Xv/51NBoNzzzzDGazmVdffZVIJMJv/dZv8Zu/+ZvitS+88ALf//73+eY3v7lpMX7yyScB2LdvH263m3w+z7lz51haWsLn8/GjH/1InO/1kIfL738qlQrRaJT5+XkuXrzIzMyMMKoJBoPs3bsXnU7H7OwsU1NT4t/jM888wyOPPEK5XObUqVNcunSJRCJBJpOhVqvh8/nYtm0bZrNZzMJIkkQul2Nqaop0Ok2j0RA71AaDgR07dtDX1ydapWw2GwcOHGDXrl309vZuaj1tNpvMz89z+fJlisUiAwMDjI6OCsv4W6Hd7vVBk5tGo4FOp9u0Q347x5SRjSxk7g/u1jWu1WqEQiHGxsZE/qFSqSQYDDI6OsrBgwdvqWNoY2OD8+fPc+XKFZaWlkQ76tDQEC6Xi3w+z9zcHKFQSKyXSqVSxF50dXXhcrmo1+vCXbpd6ezr66O3txeTyUS9XieRSAh31VwuJ7op2u9Rq9V0dHTgcrnE/KHT6RR5s22xuL6+Lo7VjtmQJAmNRoPRaBTv8Xg8uFyum1ZZf/57TSQShMNhlpeXiUQiJJNJSqUSzWZzU55kT08P+/btu63qpbzOyNwN5Gv88HPfGeb8yZ/8CUtLS3zmM5/hP/yH//Ch6mK7Kvnyyy/zwx/+kO9+97u3fOxHHnmEv/iLv+AP//APefnll6nX6wwODvLtb3+bL3zhC7d0jK9+9au8++67nD17lnQ6jVqtpru7m2984xv86q/+6i/UdiJzb2k2myQSCaLRKJFIhLm5ORYXF0kmkygUCnw+H08//TQ7d+6kWCxy6tQpLl++TLlcpre3l8997nM8+uijALzxxhu8/PLLLC4uCtHl9XqF+UP7YTKZGB8fFzM56XRaiEar1crevXsZHBxkZWWFmZkZXC4XX/nKVzhw4MCHhFur1RLzl/l8nt7eXj796U/f8r/FbDYrxGIsFhNGEm63m7179+L1euns7LztHXIZGZmHl1wuJ9ad2dlZUqkUer2evr4+nnzySfbs2XPTLhxJklhcXBSiMxaLoVAo6Onp4dixY2g0GhKJBBcvXiSRSFCr1TZFVdjtdjweDw6Hg2w2SyKR4NKlS8L4Znh4GK/XK6qPsViMVqtFtVoV6/36+rpoJ7XZbHR3d4sKYTvWw+12o9VqqVQqrK+vMz4+TrVaFYZgzWYTheJatFJnZycej0e08Gu12lv6PiVJIhaLsbi4SCgUIhKJkEgkKJVKKBQKTCYTTqdTZFv6/X46Ozvp6OgQBmTyTbuMjMyDypYqj5/5zGeoVqu8+uqrN7TlrtfrPPXUU2i1Wl555ZVf+ETvBfIu3f1BoVAgGo2yurrK2toahUJBZA+2Q6h37NjBI488Qm9vLysrK7z22mtMTk5SqVQIBoM8+eSTjIyMsLa2xsmTJ3n33XdZX19HrVbj8/nYt28fR48eJRAI4HQ66ejoIB6P8w//8A+cOnWKaDRKoVCgXC7TaDSw2+3s2rWL/v5+IpEI6XSaQCDAU089dV0zp1arJXb7s9ks3d3d7N2796bt3MVicZMjarFYRKlU0tXVJaqL7ZkdmTuDXHmUuR/YyjVuNpusr6+zuLjIpUuXCIVC5HI5LBYLg4OD7Nu3j6GhoZu2x+dyOWZnZxkfHxcxRnq9nkAggNVqpdlsEolEiEajQjgplUr0ej0WiwWHw4Hb7cZisZBMJllbWyMej9NsNuns7BTtoG0znEajIVpp2+t9sVik1WptqlYGAgHMZjNutxuXy4VOp6NarRKPx1lfX6derwux2D620WjEYrEIN1Sv14vBYLil7zISibC0tCSEYjweF6Y+ZrMZr9crRhOCwSAOh+OmJmfyOiNzPyBf44ef+67yGI1G+fSnP/2ReU4ajYb9+/fz2muvbeWjZP4J0Wg0WF9fFwH12WwWhUJBvV5ndXWVaDSKQqEgEAhw+PBh9u/fT2dnJ2NjY/zwhz/k6tWr5PN57HY7O3fuxOPxcPnyZV555RUWFxfJ5/OYTCYef/xxnn76aQ4dOiSMaUqlEouLi5w+fZrx8XEikYgwXgDwer309/fT19dHNpslGo3idrv5yle+ckMziZWVFcbGxkilUvj9fk6cOEFXV9d1f/ZqtSqEYtuxFaCzs5Pe3l6RGXY3ch5lZGQeXCqVCqurq8zPzzMxMcH6+jrlchm73c7u3bvZs2cPAwMDH2nC1a6oTU9Pc/nyZVZWVsTceHvDqlQqEQ6HyefzooqnUqlEZc3hcNDT04NarSYWizE/Py/iMdrPdXZ2otPpaDQaVCoVUqkUKysrYnSg1WphMBhwOp2MjIwQCAREW6rb7Uav1wtDsMnJSWq1GuVyWUQkNRoN9Ho9RqNxU3zGzVr46/W6EIrhcJhIJEIsFhOxHFarFZ/Px4kTJ+jt7aWvrw+73S5v3snIyPyTYkviUa/X35KaTafTdyRqQObhJZPJiOpiLBYToc8dHR0kk0kWFhZIpVKYzWYee+wxjh8/Tnd3N7Vajbfeeou///u/Z2lpiWq1itFoJBAICCfdpaUlstmscLh77LHH+OQnP8nw8LAIol5eXmZ+fp6ZmRmmpqaIxWKkUinhyup0OhkYGBBVxVwuh8fjYWRkhNHR0es6lq6urjI2NsbGxgYej4fPfvazuN3uTa9pC+W2WEwmkwDCCn7fvn14PB7590dGRuZDpNNpVlZWmJ+f5+rVq6RSKSRJorOzkyNHjjAyMkJPT89HVthyuRyRSISpqSkRZVSpVNDpdFitVkwmE7VajXA4TKvVotVqCVOZtuFNe71tNBqsrq5y8uRJNjY2UCqVWK1WYVTTFln5fJ7Z2VmSySSpVIpGo4FWq8VutxMMBkXGbLsN1Wg0ipnC6elpqtUqtVoNlUolxKJOp0On0+F2u4VgtNvtN2zhLxQKovU0HA6zurpKPB6n0WgA13bf/X4/u3btoqenh/7+fnnURUZGRoYtiseRkRHOnj3LxMTEh/IY20xMTHD27NktRWvIPHzUajWi0ah4FAoFVCqVEGTJZJIrV64wNzeHQqFgx44dfPGLX6S7u5t0Ok0oFOLHP/4xZ86cIZPJoNFo6OrqIhAIEAwG0el0IgIjkUiQy+XYsWMHn/vc5xgdHUWj0ZBMJhkbG2NpaUm44bXbu2q1GgqFAofDwcDAAEeOHMHv9ws795GREfbv33/dney2e+H6+jpdXV089dRT+Hw+4FoLVNt974MtXEajEY/Hw9DQEF6v9xdyW5WRkXm4aTQaxGIxMe8diUTIZDIolUo6Ozt5/PHH2b59O8Fg8IYbTh88xuTkJKFQiLW1NZrNJlqtFp1Oh81mQ5IkisUi9Xqd9nRL2725q6uLvr4+Ojs7yefzTE9Pc+7cOTKZDGq1ms7OTrZt24bT6USlUpHNZllZWdmUuQhgMpno7+/H6XQKg6+2I3TbSOfq1atUKhXq9bpwqW40GqjVatRqNS6XS1QWPyhQP/jzZjIZ4vE4oVCIlZUV8b21Z8ZtNpvYrOvr66Ovr++Or8GNRoN8Pk8ulyOXy4lKroyMjMyDxpbE4/PPP8+pU6d4/vnnef7553nmmWfETXI0GuVv//Zv+dM//VMkSeJrX/vaHTlhmQeTVqvFxsaGqC4mEglarZbYlXa73RSLRS5cuMArr7xCLpcTZjS9vb1UKhVmZmaYnJxkcXGRpaUl0ZLVnt0xGAxYLBbh5jc9Pc3Vq1ex2+187Wtf4+jRoyKDbH5+nlgsJgxowuEwGxsb1Ot1VCoVTqeT4eFhPvnJTzI0NMTMzAwLCwv09/fzuc997rpuhIlEgrGxMaLRKA6Hg0996lP4/X4ymQxTU1NEo1Exj6PVavF4PBw8eBCfzydHxsjIyFyXYrFIJBJhZWWF5eVl1tfXKRaLaDQanE4nBw8eZGBggEAgcEPDl3Z1sW3qFQqFSKVSItbCarUK4ShJEpVKRbSCKguaVJwAACAASURBVBQKOjs7hfGLTqcjHA5z5swZ0Rqr0+mw2+2Mjo7S0dFBqVSiVqsxPz9PoVCgWq1SqVQwGAxYrVaRmdjb24vP58NsNiNJEhsbG8zPz1MqlUSUh0KhoNlsolQqxYZeu7LodruFoGx/V+l0mmQySTgcJhwOE4vFxLy6Xq8XXR1Hjhyht7eXYDB4xxypm80mhUJBCMRcLkc2mxUZwG20Wq0YqZCRkZF50NiSYQ7AD37wA/7gD/5A7Ey2W0Q++Odvf/vb/MZv/MYWT/XjRx4u3xqlUmmT0U2lUkGr1YodZq/XSzabZXx8nPfff5+VlRUAnE4nfr8fh8OBWq3GbrdjtVoJhUJcvHiRYrFIV1cXWq2WYrGIVqult7eXbdu2YbVamZiY4MyZM6jVaj75yU/y1FNPEYvFmJubIxwOk0wmabVaxONxlpaWiMfj1Ot19Ho9nZ2d7N+/n6eeeoqdO3eK3DKz2czBgwfZu3fvh65xu4IZiUSw2Wxs374dtVotqottS/h2O1XbcVCek7k/kY0sZO4l7Y22XC7H5OQkq6urJJNJIaa6urrYvn07vb29+P3+684/f7C6uLS0xNWrV4lGo+TzeVqtFh0dHVgsFmw2m4ixKBQKFAoFarUaBoMBj8cjqovZbFasn+3W2PZabrfb0Wg0tFotyuUypVKJarVKqVQSgs9ms+HxeMS8eEdHB81mk2QySSwWE6Y4KpVKiMVGo4FKpcJisYiKZLuFX5IkMpmMEIqrq6siGqMtVg0Gg8h67O7uFvm7Vqt1S2tvq9WiWCwKUfjB/xYKBXHvo1arsVgs1320HWjldUbmXiNf44efu7HWbFk8Aly5coUf/ehHXLhwgXg8DoDL5eLgwYP8y3/5LxkdHd3qR9wT5IX29pAkiXg8Loxu2t9FOzurbVc+NzfHpUuXOH/+POFwmFKphNVqpb+/n9HRUQKBAA6HA6fTiVqt5vTp07z55ptkMhnsdjsqlYpUKoXBYODQoUPs378frVbL2NgYZ86coVqtcuDAAU6cOCEcB9fX10UrajabFbM97dlKj8fD/v37efLJJ9m+fTszMzNMTEygUqnYs2cPQ0NDKJXKTdc4k8kwNjbG3NwckiQJE5xCoSDmJNs75LebGSZz75Bv6mQ+btpt/JFIhEgkIvILS6USWq0Wp9NJf3+/qNR9sNrWJpvNsrq6KsRiW+i1K242mw2HwyGqbO0W0lwuJ2YT+/r6cLlctFototEooVBIVBfbLattN2qj0YhCoRBVxbZolCRJzB729vYyPDyM3W4XubTtSmCr1RKtp5IkUavVUCqVHzK5aa/36XRavH91dZVcLkexWBTzjiaTCbfbTTAYFBEenZ2d1/2uboVSqSRE4Qcrifl8HkmSAFAqlUKI//zDZDJ95PHldUbmfkC+xg8/9614fFiRF9qbk8vlhFiMxWI0Gg0MBgN+vx+Px4PRaKRQKLC4uMj09DRzc3MkEgkqlYqI2Dhy5Aijo6NiPgauZYSePHmSkydPkkwmsVgsqNVqstksFsv/z96bB7d55vmdH9z3DRC8wUs8JVFS67Llq2053eOx297pmanspNKTymYqlclmp6cyVZOpqcruJjWZrsxUbbLJznSq8keOmmxlkt50ud12J562uuX2IVsWJVGkeIgERZDERYAgboAA3v2D/Tx+CVG2LtuyGt+qtwDiekHgxfM+3+f3/X2/Tp555hnOnDlDNpvl8uXLXL16lUwmQ29vr8x4VDu1ms1mEokEc3NzbG5uSvlTMBhkbGyMU6dOcejQISKRCJcvX6ZcLjM+Ps7hw4f3SME8Hg+Li4v85Cc/YXp6mp2dHTweD36/H4/HI6uqd5MZ1sLDhdakroXPA0JKKhw9Ra91vd5gM2XEZuugu7ud557to7u785bFp52dHWKxGEtLS1y/fl2+TqlUktXFQCCAx+PBZrORz+eJRqPkcjmKxSIWi0UqQIxGI/l8ntXVVRKJBLlcTvYVWiwWPB4PTqcTl8uFoihUq1Xy+TyFQkHGB/l8Pjn+dnd3A7vHtdgn7Lqv6/V6Go2GzIEUEv5gMIjdbqdWq5FOp8lkMsTjcTY3N6XsVFEUDAaDdGINhUIEg0G52LifcdknoVKp7CGG6k04rAKSIDYTRbvdfs9VzNY408LDgNZ3/OiiVGrwZ/8GYnE97cEav/13wWL59PGqRR7vE62B9laICYsgjLlcTuYOOp1OTCYTOzs7pNNp2eOXTCblyrXFYiEUCnH69GnGx8dvyTlcX1/nwoULvP/++8RiMex2O3a7nXK5jM/n46mnnuKJJ55gbW2Nq1evsrq6SjKZlLJQrVbL1taWXP0G2NzcZG5ujmw2Ky3nA4EAwWCQEydOcOTIEXK5HBcvXmRra4uBgQGOHj2Kw+EAPq6oLi0tceXKFaanpzEYDBw4cICjR4/uIcotfPnRmtS18FlAZC+K3kNROQOkDDQWd/HTt3soFvvQG9rRaLQEAvDtf6Dh6ac0ZDIZ5ufnuX79OsvLy1KmqSgKJpMJr9eL2+3G7XbL/YkKo0ajkf1+VqsVRVGIx+PE43Hy+Tz1el1KR202G16vF4/Hg9VqlaY3gljVajVsNhudnZ2Mjo4yNDSEyWSSPeQiYshkMklH1F1iXEen00lCazQaaTQaUn4qpLPivcCuqY7L5ZIZvIFAAJ/P96mVPYFarXZbgigimACZA9m8ORyOz0Q10hpnWngY0PqOH038wR82ePudW29/8gz88R99MoH83Mjjzs4Ob775ppStajQaAoEAX/nKVz41B/JhRmug3UU6nZb5ivF4XE4ArFar/G6z2ayUHgm5VaVSoVarYTAYsNvt9PX1MTo6ysDAwJ6qXKPRYHl5mQ8++ID33nuPRCKBzWajq6sLo9GI1Wrl+PHjHDt2jFgsxvT0NOl0ms3NTVKpFDqdDrvdjkajQa/XYzabqVarRKNR1tbWKJVKuFwuaa7gdrs5cuQIJ0+eRKvVcvHiRdbX1wkGgxw/fhy/3y8DraPRKJFIRPZKdnd3c/jwYR5//PGWyc0jitakroUHhXK5LKuLGxsbcnzUaDQynsLhcNDb20s01suf/l9taDQfn9gVZYdKeYFyaYbHTi9iNiVkL6GQatrtdlwuF3q9nmw2SyKRIJvNUiwWpXOquD+XyxGNRuVinshoNBqNWCwW3G43TqcTr9crJZqip89kMuH3+zlw4AAHDhyQj4nFYmQyGWA3vkucE6rVKuVymUqlgtFolNEeomewVCpJ8ibiP6xWq6yY+v1+uTmdzttGbsDuOUTtZKreBEGHXTJ7uz7Ez3ue0hpnWngY0PqOHx1UKhVSqRT/xz9J8eHFFLVaGqVRxOF6EZ3uY1OwTyOQnwt5/Oijj/i93/s9YrEYzS+l0Wjo6OjgT//0Tzl27Nj97OYLwS/qQFsul2WExtraGltbW9LsxmAwoNFo5InW5XLhdDqpVCrSUa5cLtNoNKjX67jdbgYGBhgZGbkl47BarbKwsMD58+e5dOkS6XQar9fLoUOHpPteT08Px44dY2tri2vXrkmThLW1NfL5PC6XC6/Xi8ViQa/Xs7W1xfb2NplMhkajIc12yuUyZrOZQ4cOcfr0aTweD5cvX2ZxcRGn08nIyAharZZoNEosFpOSqlKpRDabxefzcerUKc6cOSMlWC08mmhN6lq4H4jsxbW1NRKJxB4jGBENYbfb6e3tJRQK0dbWRqMBv/rXFRIJhWo1TLk8Q7U8T7W6CkoVRdFhdzj55v9kwW63odVqMRqNlEolcrmclHY2Gg0MBgMejweTyUSxWJQkSqPRYDKZMJvN6HQ6dDoder0eh8OB3+9Hq9VSKBTIZDIy/sNqtTIwMMCBAwdob2+XypN0Og3sVuuMRqMcKzc3N6WM1WAwyIW9nZ0dGo0GgDTDMZlMUhLr9/vx+XxSZrufFFRRlFucTMX2aUY1LpcLh8PxUOXltsaZFh4GtL7jLyfy+bxUbKTTadLpNPl8nmKxyv/9/1TRYgCNDo3WjNP1CjrdXmXcm2/cXsJ6J2PNfUV1hMNhfuu3fotiscjExATf+MY36OrqAnajOl599VWuXbvGb/3Wb/G9732Pvr6++9ldC58RGo0GyWSStbU1lpaWWF1dlbbiYnLhcrlwu93yJO92uykUCkQiEdbX16nVanI1XZgzDA8PMzQ0dEtAdT6f59KlS5w/f57r169TKpXo6Ojg137t1/D5fMRiMaxWK5OTk1SrVc6dOycJ3crKCpubm9LcwWaz0Wg0yGQy5PN5Oanq7+8Hdk0PdnZ2mJiY4PHHH6e3t5eZmRn++3//7+Tzefx+P9VqlQ8//BCtVktbWxsHDhwgk8kQjUZxu92cOXOGsbExjEbjPZsvtNBCC48m1M6mkUiEQqGATqfDbDZjNpupVCo0Gg0cDgdjY2OEQiFprtVoNHbPlT+Y4frMdarVMEqjCOjR6f0YjX1oNFbQKFR3imxnGyhKTlYES6WSrNjZ7Xaq1So7OzvcvHlTGty43W6CwSC1Wo1yuSzdT81mMyaTiWw2SzgcZmdnB4PBICOEOjo6MJvNJJNJEokE8XhckkUhURX/b71ex2w2y/OExWJBURQajYbMZxTnEkESfT4fPp/vloqfmvA2b4KACqMal8tFb2+vJIcul6vVPtBCCy08MlAUhWw2u4ckptNpOf6LuCWtVouiKLzzrh6t1oYGLVqdA73ei0Zzq+z+z/4N/MNv3/v7uq+Z8He/+12KxSJ/8Ad/sG+O47e+9S3+w3/4D/yzf/bP+O53v8t3vvOd+9ldCw8QuVyOxcVF5ubmCIfDMjDZbrdL4ifiMsSm1+vZ2NggHA4zNTVFrVaTkwkhgRoaGmJkZISurq5bZEbxeJxz587x4Ycfsra2Jh//zDPP0NbWxuzsLMlkkoMHDwLw9ttvS2K6ublJIpHAbDYzPDyMz+ejWq2SyWSo1WpS6rSzs0O5XJaOeP39/Tz11FP09vZy8eJF/vN//s8kk0k8Hg9dXV04nU7p7OfxeFhYWGB2dpZGo8HExAQHDx68axOGFlpo4dFGPp/fY3YjegBFj1+xWKRQKOByuRgeHiYUCuHz+eRYdv78eZkdu729TSyuoVZrw2gcQad3gqKlXk9Sr+dRlG0ajSKNeo6Za3kcjrKsGiqKglarlWoLYYIzMTGBoihkMhlyuV2yabFY6OjoQKPZ7Z0UZMzlcjE5OUlHRwdOp1NWMsPhsBzby+Uy29vbJJNJ8vm8jNDw+/309PRgsVikCY4geMLURr2Jyp8wqlldXb2tUY1Go8Fut8sxenh4WCpdRJtCCy200MKjAhFBJIhiKpViY2Pj5xXFIoDsITebzVitVqxWq1y0c7lcXJ1x4nK70Wode1ogmrG2dn/v9b7I43vvvcf4+Pi+xFHgW9/6Ft///vd5991372dXLdwn0uk0CwsLzM/Py2zDer0uDRQmJiYYGBiQlUVBmEQe4qVLl1hZWaFcLuNwOPB6vVIyZbFYOHz4MMPDw9jt9j37VRSFS5cu8dOf/pS5uTkKhQIOh4MTJ07w9NNPEwgEuHz5Mmtra4RCIbRaLT/5yU+IRqPU63VqtRrJZJJGo0EoFKK9vV3Kv7RaLQMDAxgMBnK5nJSsVioV2tvbmZiYwO12c/HiRf7tv/23lEolQqEQL7/8MgMDAwSDQcxmM7VajevXr3P+/HlqtRqjo6McPHjwloppCy208IsJkb0o5KjpdFo6Nre1tbGzs8PW1haFQgGPx8PBgwfp6+vDZrORSCS4ceMGr732GktLS6TTaRqNhlykCwaDrG9YuLEUZ2cnSqW8QaNRQGmUqNe3URolGkoFFC21moZGQyelnyKPcWBgAJPJRKlUIhKJsLS0JGX7bW1t1Go1KpUK8Xgcu90uF8xcLhf1ep2trS3W19dZXV3dIw8V5mM6nU7uR0hid3Z25IRmZ2dnj/TU5/NhsVgkIUyn06ysrNzWqMblcsk4ErWTaSveqIUWWngUUa1WZRVxc3NTJhYUCgU5Pmq1WiwWC1arla6uLvx+vySJ4tLhcOxZSBsbazA3/+n7/7kh9j3jvshjOp3mxIkTn/q4/v5+FhcX72dXLdwFcrkcqVSKlZUVFhcXWVlZIZVKoSgKTqeTUCjE448/zvDwsAxdbkY6nSYcDhMOh8nn89jtdjo7O6nX68TjcXK5nMxGFKRPjVQqxc9+9jPeffdd0uk0Op0Ov98v3U1DoRBXrlxhZmYGl8uF2Wzm3LlzRKNR9Ho9NpuNTCYjMyBHR0flhMVsNtPR0YHJZCKZTMpMyXQ6jcFgoKenB7fbTTgcJh6PoygKk5OTnD17lp6eHvkea7Uas7OzTE9PU6lUGB4e5vDhwy3ZUwsttHBL9mK5XJb5hW63m1KpJBfhfD4fhw8fpr29nUqlQiwW44033mB5eVn2jDscDrq6unjyySfxer0Ui0Xp4Ly5uUmlUqRSzlGvF1CUEgo1FEWDVqNHgwGjyUxXl4X29t0sQyF9XVtbY25ujlwuh16vlz2EBoOBYrFIqVTC4XDQ3d0t8xZTqRSRSITl5WUURaFYLFKtVqXE1maz4fP56Ovrw+VySZmqqC7abDap1jCbzWg0GimlnZ+fZ3t7WxJL2DXSEaSwu7t7j5Ppl9VQr4UWWmjhTlAsFkmn07I9bG1tjc3NTWkaJvrLrVYrbW1tdHZ2Sudsl8uFy+W6pTBzO/z234Xv/X8lGvUcjUaehlLFZBpCo9Hf8rj7wX2RR7fbzcrKyqc+bmVlBZfLdT+7auE2yOfzcuUiFouxvLxMPB6X7ndOp5Pe3l6ee+45xsfHaW9vv+1rZbNZVlZWWF5eJpPJYDKZ6Ovrw2w2k0qlWF5exmg0Mjg4yMjIyC1uo6VSiYWFBX72s58xNzdHvV7H7/czOjpKIBBgeHiY4eFhFhcXeeONN9jZ2SGbzcqIDBFAXSgU2NjYwGq1curUKfx+P5VKBYPBQG9vrySGV69eZX19nWQyiaIo9Pb2MjY2RldXF5lMhnq9zrFjxzhx4oTMHYPdPqOFhQWuXr1KqVTiwIEDHD58+I5/nC200MKjCZG9GIlEiMfjsnon+vVzuRxra2s0Gg0CgQBjY2OYzWby+TwLCwu8+eabbG1tUSqVMJvNeL1enn76aQYGBtBqtSSTSWZnZzl37hybm5vS0bRcrlDMl6grWjSKFo3Ohk7jRKezozcE0enbcDra+JVfsbO1lWZ1dZWZmRlJaG02Gz09Peh0Otl/aDabCQaDMpPx5s2bLCwsoNVq91T0hLmNiOYwm83S8Ax2sxlFP6MwTBM5uvPz89KoxmAwSFLY1ta2x7CmJf1voYUWHnUoikIulyORSLC6usra2hrRaFQWQkR7g9VqxefzMT4+Tmdnp4xXEv3in4ZGo0E+n5ctCeotn88T8FW5cWP3sVqtDaOhG43u4/ntk2fuLO/xk3Bf5PHUqVO8/vrr/OVf/iW//uu/vu9j/vIv/5KZmRlefPHF+9lVC0ChUCCVSpFKpdjc3JSbWOVVFAWbzUZfXx/Dw8NSmvlJJi+lUklWGJPJJHq9nt7eXg4ePEihUGBxcZF8Po/P5+Pxxx9nYGBgz+vV63UikQjXrl2TUS2iUmi1WtFqtQwNDXHw4EHW19d5/fXXuXnzpgyPrlQq+Hw+QqEQGo2GRCKBXq/n5MmTdHR0UC7v9vdMTk5itVp5//33mZmZYWNjQ660T0xM8NxzzzE2NkY0GmV2dhaj0chXv/pVhoeHZVW00WjIlf58Ps/g4CCTk5M4nc7bfTwttNDCIwyRhSjkqNlsVko0JycnaTQabG5usrCwQKPRwOl0yjE1k8nw/vvvy35xkaN48OBBhoaGZA92OBzmjTfekEqIfD5PoVBgZ2cHRVF+Pp7a0Og6MOs86PRB9Do3OoMXrdaGotSp1RJsbU3zF3+RwuGoo9frcblctLW1YbVaZUVQURQp9Re9g3a7XUZUGAwGKpWKzIUUVUOTyUSj0ZCbwWDAZDLtqSjCLtEUhDAUCu0hiC3FRgsttPCLgkajQSKR4ObNm0QiERlll81mqVarGI1GWRCZmJigu7ubzs5OKTn9tAW1SqVyW4JYKBTkop1Wq8Vut+NwOGhra6Orq4t/+n8a+dd/puXSlAaNRotG+7G68E5yHu8E9xXVsbS0xDe/+U0qlQrHjx/npZdekkYpa2tr/OAHP+DixYuYzWb+63/9rwwODt73G/488UXaWheLxT1EMZVKUSqVqFar0mFJHKAej4dQKERXVxednZ2fWkGrVqusrq4SDofZ2NhAo9HQ1dUl8xdv3LjBzZs30Wg09Pf3MzIyIiVSAvF4nKWlJa5du8bNmzepVqsEg0H6+/ul/Km/v58jR46QzWZ58803mZ2dlZpurVaL3++no6NDyquE/Kuzs1PKU71eL41Gg48++ojl5WVyuRyNRgOz2czk5CQvv/wyg4ODLC4ucvnyZWq1mjS6EXIoRVEIh8NcvnyZbDZLX18fR44cuaecxpat9aOPloX+o439shetVis9PT34fD4qlQobGxvEYjHK5bIkUrA7LgtVg6jwicpkd3c3Xq+Xra0tZmdnuXDhAktLSzJGY2dnR2bR2mw2vF4vwWAQv9/PZsrFW+dsaLSi17xGvbZJrZakUd+moVTRaiycOmVnbNQhcw3L5bIcb00mE0ajkWAwiNfrxWazSXOccrlMrVaTDqhGo1E6U4sYEYvFgtFo3GNU07y1jGoeHFrjTAsPA1rf8acjn8+zsrLC6uoqGxsbRKNRkskklUoF2JXlBwIBOjo66OzspKenh/b2dqnW2A8i7/Z21UPx2rCbeiDc/puLQTs7O5RKJYrFopxH1+t1FEWhUqlzZdpCV8//QqjXzm//3TurOH4uOY/vvfcev/d7v0cqlbrlpKIoCn6/nz/5kz/hscceu5/dfCH4vAbaUql0C1EU/SLi5F6v16Utu9FoxO/3S7IYCAT2zcVSo16vs7a2xvLyMmtra9Trddrb2+nv76ejo0NKkDKZDE6nk9HRUQYHB/esjmSzWZaXl1laWiISibC1tYVerycUCtHZ2SnDpHt7ezl69CiFQoEf/vCHvP/++yQSCRqNBlarlWAwSHt7O36/H6vV+vN+n93Jj5BQidJ9NBolnU5Tq9WoVqvodDoGBwf5a3/trzE+Ps7GxgYXL15ke3uboaEhjh49is1mA3aPv9XVVaampshkMvT09HD06FG8Xu9df0cCrYH20UdrUvfoIZ1OSzlqMpkEIBAIyD5AMTlYWVmRigYh1xQZheKELJydu7u76erqwm63E4lEePvtt3nvvfcIh8PSNVSj0WA2m2UPoZAoeb1eORHQaDSsrcN/+V6dei1Fvb5NvZ4GpQHo0GrNoDGgNApMjBewWnck2Wtra6O7u5tAIIDdbqdcLnPz5k3Zl16v1zEYDBiNRiwWCyaTCbvdjt1ux+fzSfdS9eZwOD71fNLC/eNhHmfqdYUrV6FcsWE2FZg8DDpda9HgUUTrXPIxCoUC8Xic1dVV1tfX2djYIJFIkM1mgd0qn8/no729nc7OTrq7u+nu7sblcsmoOmH0WK/XpfP/9va2NAtTE0Sx8CdUIqKdQFEUuQky2Gg0ZLVRo9HI3PVPujQajZjNZv7m3/ybch93gs+FPMIu+XnjjTe4ePEiiUQCgLa2No4fP84v/dIvfWldKz+LCV25XJYEUWyFQgEAk8mE3++XxjClUklGUVitVjo7O+V2J2HHjUaDaDRKOBxmdXWVarWKz+djYGCAvr4+yuUy8/PzLC8vU6/X6e3tZWRkhM7OTvka1WqVcDjM8vIy0WiU7e1tWRXs6+vbXTXf3CSdTtPV1cXBgwdJp9P8j//xP3j77bdJp9Po9Xrcbjfd3d2EQiH6+/sJBoMsLi4yNTVFoVDAZrPhcDhob2//eWh2Q/5oM5kMhUKB9vZ2zp49y7Fjx8jlcly8eJFYLEZnZyfHjx/fQwrX1taYmpoilUrR1dXFkSNHbqme3gtaA+2jj4d5UqfeZ+s4vD1E9qKQoxYKBQwGg1wVdjqdxGIxZmZmJGHU6XQyK9BgMEh1hwizF2NvV1eXVEP88Ic/5PLlyyQSCSkbtdlsUt4aCATw+/1YLBa5Ai0mCAaDgWq1SqFQIBaL8/qPUlTKVUCLRmsEpYai1FCUKhqNAZvNza9+M8jIyAhtbW2y73B5eVlGaIhJhdfrlRFLnZ2ddHR04Ha795DEVmbtF4uHdZz56XmFf/GvFH6+xgJAIADf/gcann6qRSAfNTxq5xLhRK0mceK6+Fs4ScdiMaLRKLFYjGQySS6Xo1qtAsg+b5fLJfvBXS4XWq1WvpYoalQqFcrlMuVymVKpRKFQkK6ptVpNtgOIiCWRyygyc0VVUZA9k8mEyWSSqhc1KRQLm+I1BbFUX9ZqNbnoqdFo+Dt/5+9wN1TvcyOPjyrud0JXLpdlXosgjPl8HkBWD30+H06nU5rHrK+vk8vl0Gq1BINBOVm5m2pZMplkeXmZlZUV6bQ3MDDAwMAANpuNlZUV5ufnSSaT2Gw2hoeHOXDggOxZEcHVN27cIBKJyElRpVLBYrHQ29tLIBBgfX2dRCJBMBiku7ubra0t3nzzTS5dusTW1hZGo1Haux86dIihoSFsNhs/+clPOH/+vHRsHRsbY3JyUvY9Xr9+nZWVFaLRKNlsFqfTyTPPPMOZM2cAuHTpEsvLy7jdbo4fP77HDGdjY4OpqSmSySTBYJCjR49+oknQ3eJRG2hbuBUP66SueZ+t43Av1NmLIupHuIz29PRgNBqZnp7m2rVrklA6HA4pn9fr9VSrVarVKlqtFq/XS1dXF93d3fh8PlZWVnj11Vf52c9+Rjgclot+ZrMZn88nFRVer3ePVEmQRXUWYiwWI5VKycU4nU5HPm9gYVErXfG0Ohd6nReDMYRGY+DZZ1JYLHEZFdJoNDCZTHg8Hnp7fXEAegAAIABJREFUexkcHCQUCkn5bMuo5uHGwzjO/PS8wh/+49tPCf/on7QI5KOGz/pcIqpnavL2ScROfd/tLj/pOSJnttFoUKlUJJnLZDJsb2+zvb0t5f4iL1G0EYjopfb2drnAptFoKJfLMr5IVA+F5HRnZ4ednR2q1SoajQaNRiNJniCLVqtVZgBrtVqp0hSXgobV63XZCy9aDJqvi+erX0t9KQzRxGYymfid3/mdFnn8PHG3P6hqtcr8/LysKOZyOWCXKIpVYL/fj8fjoVarsbGxIQlYo9GQVu5dXV20t7fflYV5JpNheXmZcDhMLpfDarXS19cnsxuz2Szz8/PcuHGDSqVCV1cXIyMjdHd3S4lSKpXixo0bhMNhyuUyFotFOusJuWgwGGR5eZmNjQ3sdjtut5toNMrU1BTXrl1je3sbs9kspasTExNYrVYKhQLvvvsuly9fplKpMDo6ygsvvMDx48fx+Xxsb2/z4YcfcuPGDdbX10mn05jNZk6fPs3Zs2ex2WxMT08zOzuLyWTiyJEjDA0Nyfcej8eZmpoiFosRCAQ4cuQIXV1dd/X93Qlak/ZHHw/jpG6/ff6iH4eKokjrcyGj12g0tLe3093dTXt7O4lEgqtXrzI3N0csFgN25ap9fX0EAgGZaSj6x8ViXTAYJJVK8c4773Du3DlmZ2dJp9N72gZ6enpkj7ler5emOaKH0GAwyIlFLpcjk8mQyWSknFUY1ojJldFoJF+ws7DoolTS06hvUW/k0Ou2aAuU8HoNuFwuQqGQjBUaGBi4Lxl+C18cHrZxpl5X+NW/vrfi2Iy2Nvgv/6+mJWH9kkNNthwOB5ubm3dM0EQl7U4Jn3BtVkMty1QTJEGO1JuaFAF7bhcol8sylqhQKJBOp6WRWaVSoVaryeqdw+GQ83GPx4NGo6FUKrG1tSUJpjA1KxQK8vlq8iYImsFgkERRVAYFaRPkUZwPRMVQXT1Ub82y0+aqo9jEvtWX4vMQ57OtrS2SyaRsCftH/+gf3dXxcSdjzV3pVjY2Nu7qDTRDLYd81FAul3nttdeke2hvb6+sLDocDsrlMtFolEgkwoULFyiVSuj1ejo6Ojhx4gRdXV137fop+nSWl5dJp9MYjUb6+vp4/PHHaW9vR1EUIpEIly5dYmNjA5PJxNDQECMjI3JfhUKBcDjMjRs3yGQyWCwWAoGArJrq9XqZX3b9+nXOnz8vf4iLi4tEIpE9zz148KCs9gmnwUgkImWzx48f5zd+4zcYGhqSn5twUBVEWqvVcvToUV544QXa29uZm5vj6tWr1Go1Dh06xMTEhCTWyWSSy5cvs76+jtfr5ezZs3sqkS200MKjg/2yF81mM11dXYyNjWEwGAiHw/z4xz9meXmZUqmEyWRicHCQgwcP4na795iR+Xw+RkdH8fv9bG9vMzc3x6uvvsrVq1eJx+OUy2XpbHr48GH6+vrweDxUq1XK5TKNRoNisSjlQWLCJNxUxeRJ3CfGLbEqXq/XsdlseDwe6vU6Ol2JibEUW1t1dHorfp+P06dPcvDgQcbHxx+I9L6FFvbDlat8InEESCR2H3fs6Ofznn5RsB8Zu1PyJv6uVqvs7OxIyaL6b7XEUk2EROVNuHfuV+lqJm/qShdwC5ET9zdDVOXEawpSpSZB+5lxicU1YRZZKpXI5/MUi0VyuRzZbFaSREFUxfs1m82yZUBIOlOplDx3iDFcvCdAkjYxF3Y4HDgcDqnmEM6mwmBMyE7NZrN8rlgYFJcPOsu2Wq0Sj8elyiaRSJBMJmWmsDBzE/+DVquVFdkHhbsij88+++w9O61pNBpmZ2fv6blfBpjNZn7zN39T9p2Inj1RSUulUgB4vV6Ghobo7OwkGAzetTFBuVxmZWVF2r7rdDp6enpkpU2n01EoFLhy5QoLCwsUi0UCgQBPPPEEfX196PV6arUaS0tLLC8vs76+jk6no7e3l+7ubhkebbfbOX78OG1tbVy7do13331X6sFLpRLpdFr+X3q9nvHxccbGxvD7/eh0OvkDj0Qi5HI5Dh48yIsvvsjExASwu/J1/fp1Ll++TCQSIRqNsrOzw/DwML/8y7/MgQMHiEQifP/73yebzTI8PMyRI0ektDadTjM1NUUkEsHlcvHMM89I2WsLLbTw6CCbzcreRXX2YigUwmQyUalUWF5e5q233iKVSqEoCl6vl6NHj9LW1obJZJIGMtVqVRodiNe9cOEC165dIxaLSbWIxWKhv7+fwcFBvF6vzO8Sbqtqsggfr6QbDAY5cREVRyGREv2ILpcLv9+PzWaTk7tqtYrdbsfr9TI4OMjQ0BCnTp26K6lRCy3cD5Kbd3as7T7u0T7PqgmLMDRpJmRC4i4WiZrJm9jU5K35b3Vv2u3IW/N1uJWgqQnep22CtAnCJgwKxX2iKqbT6WSlq/n5t3td9evv93i1E6j6UhDjRqMhTWbUWzabJZ/PS9IoPnMxDov3ajQaAeR+RR6ioiiyoud0Ounu7sbtduPxePD7/QQCAdra2ggGg9jtdvnYL3I+WavV5HxcGPjE43GSyaRUsNTru7FNguwKg00xzxcmnNvb2zgcjgf6/u6KPJ44ceKB7vxRQ7VaZWFhgfX1dUmGzGYznZ2djI2N0dnZeU9ZWDs7O0QiESkXVRSFzs5OnnzySXp7ezEYDCiKQjQaZX5+ntXVVSkzHRkZkZOfWCzG0tISKysr1Go12tvbOX36NADz8/OEw2F8Ph9PP/00Xq+XDz/8kO9///vEYjEURZGDp2gu1ul09Pf3c/LkSfr7+2lra6NWq7G5uSlXQ1wuF7/8y7/MiRMn5A87HA5z6dIlwuEwa2trlEolenp6eOGFF5icnCSdTvOjH/2IeDxOV1cXX/3qV2UZfXt7m6mpKVZWVnA4HDz11FP09/e3SGMLLTwiaDQaxGIxWV0U2Ysej4fOzk50Oh2ZTIYPP/xQOlMLs7GJiQkcDgeVSoV0Ok08HpcKkFwux+bmJleuXCESiUhDLuHi7Ha7OXToEMFgEKPRKE+8a2tr1Go16XptNBqlfEl9wq5UKmxtbcmVcK1WK9+X3+/H4XBgNpsplUry3CDijYaHh2VvuxjL3G73L7w0uYXPD5nMg33cfhBkodns43a3qzdBztSkTMxJ1IStmaiJS9FPppZVqrfmyt7dLNzcjlBptdo9vW/qzWq1yutCyth8XR3PoJY8fhJ5248gfhLxE6qL21X+msmw+Lybvw9xuyB3+93X/LrFYpFCoUA2m6VYLFIul6lUKpK0i2NBVBTF5+hwOGSVT1T4dDodZrMZs9mM1WrF4/HskaeKCqLNZnsgbtKi+itI3M7OjqyAilg9Ud1Um+qIRQfxfwrJ7NbWlnRlLRQK8jwhjkMhXxXHhfgsFEWhXC6TTqcBZBVVHHei1/5B467I43/8j//xgb+BRwXlcpnvfe975PN52traOHjwIF1dXfh8vnsiNo1GQzrpRSIRarUawWCQEydO0NfXJx1sK5UKMzMzzM/Pk81mcbvdnDx5ksHBQYxGI9vb23z00UeEw2Hy+TwOh4NDhw7R3d1NLBZjenqaQqFAd3c3J0+exGaz8Vd/9Ve88847cpVfo9FQrVbJZrOk02kMBgOHDx/mlVdeYXx8HJfLxerqKgsLC9Jhql6vc+LECU6fPi2lVolEgg8//JClpSVWV1fJZrP4fD5eeeUVHn/8cSqVijSj8Hg8PP/887JvMZvNcuXKFZaXl7HZbJw5c4bBwcGWpXwLLTwCKJVKrK+vs7a2xvr6uuwLtFqtuFwudnZ2SCQS5HI5WQkwmUz09PTs6VvJ5/OUy2U5Zm1vb3P16lXS6bQ0OVCTt97eXoLBICaTiUKhQCKRYGVlhUqlIs0ShAxJ5MsKCZNOpyOXyxGPx6VcyGg04na7CQQCuN1uGRskVoidTidHjx6lu7ubjo4O2traWmNYCw8FmmOP67UtKpUloI5CA5Q60CCyqvDWW8qnEjYxoVZfqh0hRUWt+XozaRSbGmrp5H7XxcRZVNCaSZu4T327mJjfridtv81kMslx4na9aF8E1Iv9guiVy+V9SZ3ZbCadTt+WHH4S8RCVSzWpERFHJpNJZhmK1xNxbkKRIfYpvjtRwdXpdNjtdkkORVVRyEYNBoN0P3U4HFJKKjaxb/VxKaIzRIaicEYVRK55UxM8cc4RxE9dMd4vSkMNYZimdmZtfl31ZylincT/ZbVasVqtcgFFkFZxXItjXxyP6kVNkSnc0dEh4/8eFB64V7dwE/20oPpHDWazmVdeeUWuTN8LRHUwHA5z8+ZNKpUKHo+HyclJ+vr69pSdk8mkrBYqikJfXx9nzpwhGAxSLpdZWlqSAdVGo1G6rVqtVq5fv86PfvQj6vU6g4ODTExMkM/n+eEPf8j58+elgY8YeEVfj9ls5utf/zp/42/8DUZHR0kmk1y/fp133nkHnU6H1WqlXC7jdrs5evQoo6OjaLVacrkcH330EfPz86ysrLC5uYndbueFF17g+eefR6/Xc+XKFa5fv47ZbObMmTMMDQ2h0WjI5/NcvXqVxcVFLBYLp06d4sCBA/IH2UILLXw5kU6npRw1mUxSKpWkfblALpeTkwrR32iz2aSLaL1el2HNQu60tbUlT9C7LqYfS530er2sAhYKBba2tlhZWZF9iSIP0eVyYbFYpBtrV1cXbW1tcmydm5sjmUxSq9UwGo0yIDoQCOB0OqnVaiiKgt1up729nY6ODjo6OggGgw+8/6WFFh4EAn4N8PHkt1JeIJd9AwXl57fvkoi5OYXNpCIn/M3krdn9UVTABNES8wo1CWuurKnJiPpSvIaaEKoNSsTfX1ao5a/7Eb39CF5zFXC/Kl8z1ETP4/FQqVQwGAw4HI4996nNXMTnq46CEKS0WCySTqdJJBJsbW2RTqflQp26amgymWQxRbyWxWLZY2hjtVrlOG+1WvccF2oDmlqtRjQa5ebNm3uInvqzaiZ3+xn4qCu06ku1UY0gdcJJWywoip5HcVwKsipMazKZjFSjCOms1WrFaDTKeDpBDs1ms5xri4qlWFgRxj1qJ1nhDq6WNTcaDbRarazkwy43+drXvvbAnbcfCHk8d+4cf/EXf8HU1JRktxaLhWPHjvEbv/EbPPvssw9iNw89/H7/PcmMUqmUdEotFos4HA6Gh4cZGBjY43pUq9VYXl6Wjq4Oh0O6jhqNRtbW1njrrbdYW1sDkJLP7u5utre3mZmZIRwOo9frGR0dpa+vj5WVFf75P//nXLx4ka2tLXQ6nezJ8Xg8FAoFtFotY2NjvPzyywwNDbG6usrrr79OIpHA4XAwOjrK5uYmiUSCvr4+Tpw4gc1mo1qtcuXKFa5du0Y4HCYWi2EwGDhz5gwvvfQSHo+Hubk5rly5Qr1eZ3JykomJCfR6PcVikatXr7KwsIDRaOTEiRMMDw+3sslaaOFLCnX2YiQSIZlMUiwWZW+JCLEX0k3RMygqhUajUZ5c19bWqFar5PN5SqWSnKjabDYpIc1kMuRyOXmirdfr0oFPEEmr1Yrb7cbv90urdhF9IeI9rly5wjvvvMONGzdkjJLH42F4eJjBwUGZS1ur1TCZTDgcDpmt2N7efkeZvC208EVj8vBunqMwzTGa+rE7z/48OkaPRqPF69XzO/+bAYNhbzVPVPtuR+Ye5baS5ipfM9H7JLln83M+qconFrf2I9SiGrdfFXC/23YX5BSuXIVyxYbFusXwgTKVSkma0oj+7nw+L1UbYrwtFotyq9VqlMtl+R7FgoEgwkKKKiqNu8ZgOinrt1gs0lSmXC7LOaf6mNmP3KlJnnAltVgsuN1u+TkJYtdsYqO+rnZJFZ/X7Y7ZWq0mezC3t7dJJpOyRWtra0s6tNbrdVl5FlVAm80mjXuEZFdUfMUxUalUbonlUFcW1YsrwhDHYrFgtVol2bbZbNjtdmw2GzabDYvFgt/vl/38Dwr3FdWhKAp/+Id/yH/7b/9NlmudTqc0F4Ddg+nll1/mj//4j790A8hnaZ+fzWZZXl5meXmZbDaL2WyW0RptbW17HpvJZJibm2N5eZlqtUp3dzejo6N0dXWxubnJ0tIS4XCYSqWC3++XVUaz2cz6+jqzs7Osr69jt9sZHR1FURTOnz/PuXPnWF5eZmdnB4fDweDgIIcOHcLtdhOPx0kkEnR1dfH1r3+dkZERbty4wdzcHIVCgY6ODoaHh8lkMkxPT2Oz2Th16hTd3d00Gg3m5+e5fPkyS0tLrK+v02g0GB8f51d+5Vfo6elhZWWFjz76iHw+z/DwMJOTk1itVkqlEteuXWNubg69Xs/BgwcZHR19aFbrWxEJjz4eNgv92+3zy3AciuzFSCTC4uKibPQXsiSPx0MwGMTv90uXUhHVI6p3xWKRbDYrJy2KosgJkzjfRKNRNjY2SCaT0kFP9CiKk7E4gQtS5/F4aGtrw+v10t7eTiAQoFQqEYlEeP/995mdnSWRSFCv17FarYRCIcbHx6VRj8h5tFgssrLY0dHxwFQ3X5bvuIV7w8M4zvwi5TwKOe29Ej314z8JzRXUZkLXHM+w32MFadgPzdJMtXxYmMwIUiNko9dm8px/O08+X6TRKKI0KpjMdYYG6ng8e/s/1e6vQmIq5vvCxbP5MWpHVYvFgs1mw+VyyT5EIS8VC4aC6KkdStUkr1lmrL5+PxDSVvV3WS6XZcVwe3ubTCZDMpkkkUiQyWQkuS6Xy3tMjNS9iMI0UxxDzRJsdUVe9GmKXk1h5KPu0xQSViHbFRmUd4rPYqy5L/L47/7dv+M73/kObW1t/PZv/zYvvviiPHHm83lee+01/uzP/oxkMsnv//7v87f+1t+61119IXjQE7pCoSCjNVKpFAaDgVAoRH9/Px0dHXv08Y1Gg5s3bzI/P08sFsNisXDgwAGGh4dRFIXl5WWWlpbIZrPYbDYGBgYYHBzE7XbTaDQIh8Ncu3aNra0tnE4nZrOZ1dVVLly4wMLCAtlsFr1eTygU4sknn+T06dOUSiWmp6dZW1uTxjlDQ0NyX4qiMDAwwNjYGKVSiffff59CocDBgwc5fPgwer2eSCTCxYsXWVxcZHV1lXK5TH9/P6+88goTExMkEgkuXrxIIpGgu7ub48eP43a7Ze/m7OwsGo2GiYkJxsfH71kC/FmhNaF79PEwTuoE1KvFZlOBycM8VJlrIntxZWWF69evE4lEZCuD0+nE7/dLcy2v10ulUmFtbU1K7IV5gsjrEr0d4oQpehm3traIRqNsbm7Kk7hw3FP3G9lsNtra2qS7XiAQkLc5nU7y+TyxWIyFhQVmZmZIJpPk83kpRR0ZGWF8fFwa7og8yGAwSEdHB52dnbibm8UeEFpjzaONh3Wc+el5hX/xr/bmPba1we/8r188cRRVvtvJOT/N1EV9/51U+e6G6N2OHAJ7yJ26R7T5b/E4telKc4+cWEQTslBxX7MzrNifIDjCRKVQMLC0bECjMbArPtSARsiSNUyMg9fTkJ+3kJvqdDpJtsTrVqtV9Ho9FosFp9NJMBikvb2drq4uQqEQnZ2d8rkPCmrS39x3e7vbmq9Xq9U9vZei/zGXy5HP52+RvqrNj8T3LI4TdaVQLY8Vx4BY6BSE0OPx4PV6pdpFVAsFkf4simwPHXl84YUXiEajvPrqq/T09Oz7mEgkwje+8Q06Ojp4/fXX73VXXwgeBHmsVCrcvHmTcDhMNBpFq9XS3d3NwMAA3d3dt6we5HI5FhYWuHHjBqVSifb2dkZGRujo6CASibC0tEQsFkOv18tKZUdHh5xULS4uMj09TSwWQ6PRUCgUpEvr1tYWtVoNl8vF0aNHeemllwiFQqysrHDt2jU2Njaw2WwcO3aMUCgkzSusVisjIyOSuF68eJHl5WXa29t57LHHcLlcpFIpLl68yMLCgiS1wWCQl156idOnT5PP57l06RIrKyt4vV6OHz9OZ2cn1WqV69evMzMzQ6PRYGxsjImJiYdW6tWa0D36+DJN6gIB+PY/+GInddVqlZs3b3Lt2jUpqS+VSrhcLoLBIMPDw3R3dxMMBnE4HNII7Pr166yurrK1tSWNcIRBl1it1mg00uRge3ubYrEoexmFZEuoEsRKrsPhkJVEQRK9Xi8mk4l8Pk88HicSibC+vi7JYqPRwGaz0dXVxejoqMwkFq6pgix2dHTg8/k+FyOM1ljzaOJeF4C+zItU+1X51HEXn0b07rfKt18Ye7N7qbpnE7iF0KkdWdVVKjWxE9JMNaFTV+/U0RT79eOpidl+pkHiPrUpkOjTFr1zQrLocDhwOp3S5XlXxVHmf/+nBTJbBRr1LPX6Noqyg6JUQaNDgx6bXcOvf1NBUT52uRXvU8glfT4f7e3tclwXJGg/qAl/M5nb7/tWP3a/2z/NOVTdV6s+7sQmjNXUUtFarbbH3VW8jugfFA68gKwqArIXUpBDt9uN1+uV5FAskloslj2kUH0cqGNK1MeAqFzu95jb/b3f87RaLb/6q7/6qb8dNT5z8nj48GHOnDnDn//5n3/i4/7e3/t7vPPOO1y9evVed/WF4F7JY61WIxKJyCgKRVHo6Oigv7+fUCh0SzVNURTW19eZm5tjbW0No9HI4OAgBw4coFQqSXfSWq1GZ2cnAwMDhEIhOWnK5XK89957TE1NkUqlpM58c3OTXC4nV+8DgQCPP/44X//613E6nVy9epWlpSUZuzE4OEgwGGRzc1M6oY6Pj8sojLm5OaamptBqtRw/fpyhoSEKhQJTU1PMzMywuLhIKpXC7Xbz/PPPc/bsWRqNBlevXmVubg6LxcLRo0cZHBykXq8zNzfH9PQ0tVqNkZERDh06JF1kH1a0JnSPPh5G8viwyckSiQTT09PMzs5y8+ZNcrkcVqtVLnYdOHCAjo4OacYQiUS4fPmyXHhKp9Oyv0PtMmc2m/ecAJslUGKSp3apM5lMBAIBgsEgXV1deDwebDbbz1fZC2xubrKxsSHt4Eulkjzx2u12urq6CAQC0kFVo9Hg8/kkWWxra/tCeq1bY82jh/tZAPoi5PE2m41EInHPRO9eqnz7ET3xu1SHy4vnigk+fExU1MSvOSZBXAriICp0+5G5/UxW1FmL+7mrqv9Wx/qI54pqVTNBbH49YRojyIl6E/1tQu4oICSXmUyG7e1t4vE4sViMTCZDuVwmslbh3E/EZ6dHq7GCxoBGowWNDpQ6CjW+drZKT88uAff5fLhcrj29dMAtJK+56qe+/5Mgxv/m7dMcbwV53tnZkdXYcrlMNpslm83KXF7RnyiqtULRIr53QB6f4r2oK43iMxaEXE3KhapP9NTfyaYmoncDdS+xOE7UPcZia3b5tVgsfPWrX72rnsc7GWvu64wonIc+DcLR6VGFWKVbW19mMzGNwbBKvV4jEAhw/Phx+vr69l2VKZVK3Lhxg4WFBXK5HD6fj8cffxyPx8PKygp/9Vd/RbFYxOVyMTk5SX9/P3a7HUVRZB/khQsXWFxcpFwuYzAYqFarZDIZ2ZQsJkGnT5/mueeeo1qtMj09TSQSYXt7WxJbl8tFuVwmHA4TCoWkcyvsGvq89957bG5uMjIywrFjx9DpdFy+fJkrV65Iaa3ZbOb555/npZdewmq1SjMcRVE4cuQI4+PjaDQarl+/zvT0NJVKheHhYQ4dOiQHpBZaaGEv6vXdCecn4V/+a4Unznx2EtZ8Ps/s7OyeRSKNRkMwGOTo0aOMj48zMDCAy+UCYHNzk3feeYd33nmH6elp4vG4dI8TJgl2ux2v14vdbpcnPSERgt3JiTBlEEYNwgXa5XIRCAQIhUJ4PB4sFgt6vZ58Ps/6+roMldbr9ZKIVioVALlfsQl3VSFDFdEdLbTwIHG7BaBkEv7wHyv80T/hC5eFqiF+76K3txn7ZQ8KYicqYeK33HwJSFKlNpypVCoye1XtoPlJ1Tr1pbofT72P5gzE5tvU5inNTpriPjWhUcdA7CeTVFce1RCfjdroRBjGiOti+6QFq0KhQCaTIRKJEI1GiUajxONxMpmMVGcIozBhHuNwONDp3Gi1DZRGFUWpUGskUBo7oNl12tVozGi1JipVm1R/iLD5VCol999M8ES1V+2Oup977n63Abf0VjZX03K5HJlMZg8xTKfTbG9vS7mpUK+IfkRxvlETNbXxjHphQnzH4n8W1dpmQ59msiYqzerbxD6MRuOeRQ719eZjormG13wMi89ov/5SUTkV57n9iOmJEydueyzdK+6LPJ49e5Yf/OAHbG9vy0lDMzKZDBcuXODFF1+8n109tBArifF4me2t76PVuQgGJ/iHvzvAL319/88kHo/L2AqNRkN/fz8nTpwgn88zNzdHOp3GbDbT39/P4OAgfr+fbDbLxsYG0WiU2dlZwuEwmUxmj23x1tYWer1eZoz5fD4OHz7MiRMnKJVKXLhwgXg8LleI1NrtSqXCyMgIo6Ojsm+1Wq0yNTXF3NwcbrebF154gUAgwI0bN5iammJ2dpa1tTVZifzmN79JMBgkHA5z6dIl8vk8IyMjTE5OYjKZWFxc5OrVqxSLRYaGhjh8+PCe+JEWWmjhVly5yp5KxX5IJHYfd+zog9lnPp/n5s2bzM7OMjc3RzQapV6v43Q6OXDgAC+88IKMzMlmsySTSV577TUuXrzItWvXiEajshdR5HP19fURCoXw+/24XC7piioqE6JKmEql5KpxrVaTvYuC2Ik4DJ1OJwOWRRaumPR5PB6MRqNchdfpdDidTrmY5vF4ZGWxvb29tXjVwmeKh2EB6G7hcrlwu92yX01MctXSTdEHLH7DnybPbJbuCQiDq9uRO7VMXRC5ZmMVQQbUpirNDpq3uy6kiKL3TVSyxPVSqSTNUorF4i1xD6Lvz2q14nA4aGtr25cYms3mPbLY5mqdcJAWf2ezWVk9TCaTpNNp0um0JIjqvD+1iVggEJDflyBgu4qyBrWaFo3WjE7rRqcBsAElAAAgAElEQVTrRqdzo9O70WqdaDQ6QMvTT+sYH9PK717t+im+r9vJLqvVKsVi8Y4klYLoiP5J0euudngV5wFRYRSfm3r/6qq0+C78fr+U2YrvQP1dCJmv+m91Maz5+BTz7Ob/u1Kp3FdFURw/6kqiOOabN7WD8e0e01yRFNnDD1rFcl/k8dvf/jZTU1P85m/+Jr//+7/PY489tuf+9957jz/5kz+hu7ub3/3d372vN/owQr2SqNWacXv+ZzRaI+UK/NF3wGpV5EpitVplaWmJ+fl5MpkMTqeTyclJzGYzkUiEc+fOodFo6Onp4ejRo3i9XuLxOAsLC/z0pz9le3t7T9C1GHTS6TT1ep1gMMjExIS0Aw6FQhw5coRKpcK7775LKpWSwamZTIZarYbX66WtrY2xsTGGhob2rHStrKzwwQcfUK1WOX78OGNjY8RiMX7wgx9w/fp1lpeXqdVqDA0N8Wu/9msMDQ0Rj8f54Q9/SDKZpKenh7Nnz+JwOFheXubKlSvkcjkGBgaYnJy87WJDCy20sBep9IN93H7IZrPEYjEWFxeZm5tjY2ODfD6P2WwmGAxKJ2WTyUQ2m2V+fp6f/exnUm6fSCTkpEqcrCYmJjh06BCjo6OYzWaq1SqFQoFyucz29jbVapVoNCrd7MREtF6vYzabsdvt+P1+fD4ffr9f2pwrisLW1taex3V0dNBoNKRtejqdRqvV4nQ6GRkZoaenh97eXllddDqd9/5htdDCXeKLWAC6X6yurvLhhx9SKpUApNTyk0iemuA1RyWoYyb2c828k+v3AkE61BETalKo3poh4hBEL6HH47mFgAqC1UwExbh2O1mnICf1ep3t7W3p7rm9vS2VFuJxItZCVMWCwSBut1vm0YrqrSBeIi5Co9FgNptxu91YrVbGxiwsh03kC8ZdiapSQ1FK1HZKQBQAhwMqZQ2XL9/+M91PLqmO6YCPq21ClixIpageCnWIeL/NRj9qwimIqKhciwpus0GRusLZvLBgNpuloZo4noXUVV01Vx/P4n9Su6OqbxPHgLhN3VrRfKnOQFVX4tWVR/Eb+6RNZDuqnV7hY+lt86Ver7+tJ8394K5+jd/61rduuc1gMDAzM8Pf/tt/G5fLJY0GxKQAYHJykr//9/8+//7f//sH8JYfDuy3kqjR7u1l/Jf/WmF8LM2NG7smMvV6nZ6eHgYGBsjlcszMzFCtVmlra+PYsWNYrVY2Nze5dOmSXCWw2+3UajWZKROPx9ne3qbRaOB2uzl58iQTExMyIDsQCEjS+N5775HJZHC73VgsFhYWFsjn83R2dnL06FHGxsbo6urasxqYzWa5cOEC6+vr9Pb2cvLkSer1Om+99RYzMzPyNbq7u3n55Zc5efIk2WyWt956i9XVVXw+H1/72tdob29nZWWFH//4x2SzWUKhEM8+++wjLV9uoYXPAj7vg32cWECKxWJsbGxIV9TNzU1JyAKBAN3d3TI3MZ1Os7KywtbWFjdv3pQSKSHZcblcHDp0iJMnT/KVr3wFt9tNsVhkc3NTjlvVapVsNks0GmVra4tEIiEdBcWqqs/nw+1209bWhtvtluHLWq2WWq0mV/YF+RMO1jMzM2SzWTQaDYFAgGPHjjE2NkYoFKKjo0NmR7bQwheBz2MB6EFjeHhY/o7VBO7TiN6DdNa8HRRFkdJENRlsJob5fF7KF9VVUfE+1T1ker1eTsbFxDuXy7G5ublHGqiWyar/FuPLfuY79XqdSqUiK2n5fF6+V3VGooi2sFqteL3ePUHyQiUmFuCES7Wo+gqiKGSvIgpDkG5BzLq76kxPg6IBFAXQoKCgURTQKHR2KGxscFtC0ywXVksnBUkW/5faTEjt/Crer3pMFguDoi8UuEUaK7Icxd/qmAvxvwuJaTPx2+/6pxmfqSvo+0H9Pd/JJp4jjhP15d2+xn7EVNwv5LSlUukWkvmgcFfk8YMPPrjtfWJCIgijGpcvX37kTtyftJKoKHWq1TA3Fhf48+9uMjpilaYz0WiU1dVVbDYbgUAAk8lELpfj0qVLKIoiV9GHhoZIJBJ88MEHzM7OkkqlqNVqOJ1OxsfHefLJJ+nr65OugV6vl2effZZyucz7779PLpejo6MDRVGYmpoinU7T19fH2bNnGR8fv6XyV6/XuXbtGlevXsVisfDcc88RCARkX6OQ0/p8Pr7xjW9w9uxZdnZ2uHDhAvPz81itVp566in6+/uJRCK8+uqrbG1t0d3dzdNPP43P5/scvpUWWnj00BzevR/a2nYftx8ajQapVIqVlRXC4TDLy8syS1GsuoqFv2AwiMvlkj01gigmk0lpuqAoCg6HgyNHjvCVr3yF559/noGBAUlGI5EI8/PzcqKUSqXY3NyUOVnFYlGSTlHZ9Pl8hEIhnE4nbrcbjUYjH2O1WvF4PNKUIB6P8+GHHxKLxSgUCphMJjo6Ojh16hSHDh0iFAoRCAQ+l0lsCy3cCR70AtDnAVFFFBNRUQVr3uDOKiZ38rxKpSLjEgT5E9UhQQhFdIVaKimIh5hnqnMI95tcN0+mP4lcfNLfaqmgurdanQWoNuUR+xJVWYvFIp1KhXxSvD8hz0wkEvJ/FiZh4jXEZrVaMZlMe/rFt7e3yWaz8vE//0+5Pge7HjbaXZmqRgvofm6Yo2U5rOPEcR1areYWGbKoBqr/R1FRFZv4XKxWq2xPUJPoZqmr+vMQWbwiz1DkGzZf2u12SRDF/3cv237PFcfNfpf7PfaLQKPRIJ/P7+kBzeVysoItvotGo4HD4fjiyeOPf/zjB/4GvqzYb4WwXs9RKc9TrdxAUSro9AFs9hBWa4HFxUUqlYrMcxHabrPZTHt7O0NDQ3R0dFCr1Th37hz/6T/9J5aWluRz+vv7eeKJJ3jsscew2WxcuXKF999/H5fLxRNPPEG1WuWDDz4gn8/T29uL2Wzm7bffZnNzk8HBQV555RXGx8f3NYKIRqOScE5MTHDw4EEWFxc5d+4c165dIx6PY7PZeOGFF3jppZcwmUzMzs4yPT0NIKuYsViM1157jVQqRWdnJ4899hhtbW2f9VfRQguPNP7/9u48qq3zzhv4V0gCAVoR+26b3WAMBmzH2Zy6WZ00STszPT3N5O3yTptM0iYz7dvpbO1kZk7aM+fMTJNO57TnTNO3afNOmsROmsSZOE2axY5tbAw2Jo7xBhgMBoMQkpCEpHvfP+jz5IrVC4uQv59zOLa5snQRnIf7u89v0et1eOxRzNlt9ZuP6KDX6zA+Pg6Xy4Wenh50d3ejt7cX/f39GB4exvj4uEyBstvtqK6uls1hAoEABgcH0dHRgeHhYfh8PtmpORwOIzk5GcXFxaitrcVNN92E+vp6WYctapxFWqrb7ZYB48WLF+FyueTdfzGzsbCwEEVFRSgrK4PD4YBOp4vqvup0OmG1WuUvyePHj6O7u1t2k05NTUVJSQmqq6tRW1uLwsLCS2reRrQcrvYG0HIYHh5GW1sbvF5v1Cy7qZ1CtYGDdpyF9t8i+NHOLNR2ZtWOtAAQdWE/tZZLm5Yo+jaIv2s/pu4sihRDbU3YTA1NtK+vDUi1X4fY8XS73bKUSJtyKc7B4XDIOkSr1QqbzQaLxSIzKsR5iN06sRs5Pj4uMzISExNl/akYBWG1Wqd9Ldr3aaZaOL1ej6PtCdh/MAyLLQhV9UNV/FCUcSiKH4rih6r4EFH8UNQA0tP8MmgXu6Pihpz4mkRNuwhcw+FwVMMaUYog1vXU1FTZvMdms8FmsyE9PR12uz2qg6kIEpejy/VS0zaM0qbuijpbkcosusaKmyvatF5t6q7YfRVpu+L7stCualRHvJurwPRwq4pvPK7NNw7A7XoB0Omh19sA6BAK9eK2bW7k508uWmazGUlJScjOzpbNGsSF04kTJ/Dyyy9j7969GB4elnWLmzdvxo033ijHdrS1teHMmTOwWCxYu3YtQqEQPvroIwQCARQUFCAQCGDv3r0yaLzrrrtQWVk54/a83+/HoUOHcPr0aWRlZWHTpk0YHR1FS0sLjhw5gnPnzsFoNKKxsRH3338/nE6nvFAcHx+XzXBcLhdaW1sxODiIrKwsrF+/Hjk5OYvxLVl2bJ8f/2JxVAfwSXOuwcEwIhEXIpEx2Gxj2H7HKBz2Xpw/fx4jIyPyF4uiKPKiymw2w2azwWq1QqebnP96/vx5mToaCoVk04hQKISEhASkpKQgJycH9fX1aGhoQE5OjtxdHBgYQDgclo0NXC4XhoeHMTQ0hMHBQXi9XtndVKTBlpWVob6+HtnZ2UhISJD1RwDgdDqRmZkJo9EIn8+HU6dO4fTp0zh//rzs9uh0OlFRUYF169Zh/fr1sNvtV/2+xzKuNfHlasftLPWojj179uCDDz6A1+udtROmSEecqTmO9nPanTsR8Gh3m0Q9mmiCIwamaztcTu3UeqWXrtrgStslVlxki8BW7BqKLAzt8HixwyYu0sVcv+zsbGRnZyMtLU2WC2kb/uh0OtkpdHh4GC6XCyMjI7Irq0hXTUtLg9PphMPhuOT6bBFw+Hy+GWs8x8fHcahlHK/89pN5f5MzHhUAKgAFKhSoagRbbwqhtGTy/dYGJwBk7aIYeSKam2mbxYgAUQTM6enpMqtFBNIiQFypGSKzjazRzrGc77gYHyKCbe2H+JkQI1/Ezqv40L6XU2s/tXNORcyx0Nc0DB7nMNebHYmo+NznP5nXpKoKPGO7EAycQiQyDFUNw2qx4qGvZ6GwMF929cvIyJCLYCAQwFtvvYUdO3bg5MmTmJiYkEHcpz71Kaxbtw4pKSnwer04cuQITp06hZSUFFRUVCAUCuHEiRMIhULIycnBxMQE9u/fj6GhIaxevRp33303KisrZzx3VVXR2dmJlpYW6HQ6NDQ0wGq1oqWlBW1tbTh9+jQURUFVVRU+97nPYdWqVejv78ehQ4cwPDyMwsJCNDQ0yGC2v78f6enpqKurQ15e3oJ/H2IJL+jiX6wGj8DkuvMfP3kdZ852YSIwDKs1AEWJyMYAYhi02MXTzjMTd4LFxYC4Ew988oswOTkZBQUFqKmpQVVVFYxGIwYGBtDX1ydTyHw+n+ywOjIygoGBAdkyPRwOw2g0wm63o7y8HI2NjaiqqoLBYMDw8LBMo3I4HMjOzobD4ZDNxERX1+HhYdl4JycnB5WVlVi/fj0qKiqmzciNZ1xr4s9Mcx4zMyczB2JtzuPvf/97vPjiiwgEAnLXURsQiqBQ22BkthEXIr1SpGqK9edyd84u5zEzPU40SfF4PFHpfh6PB8PDwzJdVowFEl+jCGhFgCg62osds5l2yERDQ/ExPDwsx6gBgMVigdPplEGi0+mccc61CDK0QaC2tlMEi1OHwBuNRlkrKYL602cUPPOLCagIQVVDgKr8IYAM/uF/6QDocO89Ojidk+nK4veGCKbD4bDckdXuqopZu5mZmXKHVaSfzldbuFQURZlzRul8M0y1x+cKnUTAJ36/ap9nah2o+Nk0mUxwOByw2WxwOBzyw2q1zjjq73IsxjUNg8c5XM7g7kh4DIMD/4QEvRmJSWVIMpXib/4qB5+5JztqYVFVFadPn8avf/1r7NmzB8PDwzCbzaiursY999yDTZs2yTvq4+PjOHr0KDo7O5GYmIjy8nKEQiGcPHkSiqIgLS0N4XAYR44cwdDQEAoLC3HHHXdg7dq1s+Zjj4yMYN++fRgaGkJpaSnKysrQ0dEhR3L4/X4UFxfjvvvuQ11dHdxuNw4dOoRz584hPT0djY2N0Ov1aG1tRV9fHxwOB+rr6xelm1Ms4gVd/Ivl4BEAduzYAbfbLWcYjo2NweVyyW59wGR6kWh/D0Cms4iLO3FBEA6HYbFYkJ2djZqaGuTk5CAUCmFgYEB2UBVztAYGBjAyMoKhoSG43W7Z9TkhIQFmsxlFRUXYuHEjNmzYAKvVKoNKAHKOYlZWFhITE3HmzBkcO3ZMpqKGw2F5MZKbm4vKykrU1NQgPz//mgoYtbjWxCcxFzoQTIUpyYfadZc2nmO5dh5F2rp2LqEYUi8+RDmO6GY5W4C3FHViYm2b+iE6e4p6PZEZIYJE0awmOTkZmZmZcvdQpIxardZZg6BAIDAtUBwbG4sqE5i6oyiyL6buEmqDRFFTqCXmKWrrJEUnapEqrO1sKr7WydIBBb/8VQKCwcm9RlWNQKcqUNQgFMXzh3KrILZs+iR4TkpKkkFgRkYGMjMzkZ2djaysLBk4pqamLlqAKNI6tbt52s612mBv6vGpgeBsjW8E7Q7e1F087W6e9rher0ckEolq4CRuUIi0XSE5OVnuumo/rFbros4WZvC4xC4nlWxoCAiHLyIhwYzsbNO0O4lutxtvvvkmdu7cKTuvimBv+/btskstMLkQHTt2DB9//DESEhKwZs2aybtGp08DmMw3D4VC6OrqwsjICNLT03HzzTejtrZ21rqfUCiEtrY2fPTRR7DZbGhoaMDAwAAOHjyIjo4OuN1uZGVl4Y477sDWrVsRDAZx5MgRnDhxAmazGfX19bDZbGhra0NPTw9sNhvq6upQVFQUd82Q5sILuvgX68Hjq6++ivb2dpw9exY+n09e3Im7+qLRxeRQ6Mk7moqiwOVyyV+mYm5iaWkpUlJSEAgE0N/fL4NCt9stR16IEUHa2pfExERkZmaipqYGmzdvRnZ2tizWBybvqotsi7S0NPT19ck17eLFi7JRj7b1fHl5OVavXo38/Pxrun7xSoMLWllifZ0BJq81vF7vVb/uQhJ10DMFhx6PB6FQCIqiIBgMRs0RFMGVwWCQ8/7E7qEIEMWO2VzXNF6vNypIdLlc8j0yGAxyLIaoPTMYDDKY0+4UzhQUaucPiiBdBLRGoxGRSAR+vz+qUcrY2Bh8Pp8MisWuoBgBIbrLBoNBeL3j+M2LAQSDAShKEIrigw4KoDNAp0uEXm9FaooTjz6SgdzcbLmGiwDxcq71xMzHS93lmy0gnLqjOpW24692XMfUQG+2tE7xIdKKZ/uZExk32p85MW5EW1M4Nb1UGywu1+81Bo9L7HJSyWb6ZR8KhXDo0CHs3LkTzc3NcLvdsFgs2LRpE774xS+iuro66m7NxMQEOjo68NFHHwEAioqKEIlE0N3dLe8AiflBXq8XqampqKurQ319Pcxm86zn19PTgwMHDiAYDKKmpgYGg0GmqA4ODsJut2Pr1q248847YTQaZTMcnU6H2tpa5OTkyItV0WVx9erV11TQKDB4jH+xflH3xBNPoKenR6Yl2Ww2mTJmNpvl3K9AICAb3yiKgpSUFOTm5iIjIwNGoxHj4+Ny+LTX68XFixdlx2xt3YWYryV2F6urq1FVVQWdTid3FsXupfgQqfbHjx/H2bNn4ff7odfro7rlpaWloaioCMXFxcjPz78mmiPMZ6a0xowM4LFH509rpJUl1tcZ8ZrL8ftO1NLNFByKBj6CSJkVAaIIOMSukJg7K4JDESjOFwypqoqxsTEMDw/LBmADAwOy9lFV1ahsDu28Ry3ReVQEhNqgUPv5xMREhMNhGZRoP8R7INZlkU4rzlM0rhGlCiLFVOxgBgIB6PV6uMf0OHw4EQl6JwyGdBiMWTAasmE05kJvzERCQgpUNYR/+UEYVZXhaYHeTLt5sx3X1kBOJTqsTg3otCM5Zgr4Zjq+UDuekUhE/oxNfd+9Xq/8erTputrgUOzOxmINJ4PHJXYlC+3IyAjOnDmD1157De+++y76+vqg0+mwevVq3HPPPfjMZz4zLX85HA7j+PHjOHbsGMLhMPLy8qAoCvr6+jAxMSFTEsSdMwAoKChAY2PjnN1MPR4PDhw4gN7eXuTn56OgoADt7e04fPgwent7YTKZsHHjRtx3331wOBw4ffo0Wltb4ff7UVFRgeLiYnR2Ts6oTE1Nxbp161BSUhIz+evLgcFj/Iv1i7qXXnoJ586dg06ng91ulzeOxN1tt9stLzBSU1PlvLCEhAQMDg6ir68PLpcr6q711HbriqLIu+iFhYWorKxERkaG/AWampoaFSwajUYcO3YMx44dQ2dnJ4aHh6HT6ZCWlgaHwxHVAa6goADFxcXIy8tjwKhxtQ1VaGWJ9XVGvOZi/L5TVVXe2JoaHHo8HplSCkCOotAGiNodKiE5OXlagGiz2eatF1MURabl9/f3yxtqIkNCpOaLMRIiTVcb+M30p/iYmnYvAsSpQYropikCRO3sSGAyaDEajTIVVtQjirICMQJJ7DqaTKaoLq12ux1dPXY8/5tkqGoYqjrxh3rHTz6gTl5fbr9Lh8qK6e/VXLt4s6V1zrbLtxymvvdTdxAFcaNzpt3DWKrhvFQMHpfY5S6au3btks1vgsEg0tLS0NTUhM997nOoqqqa9gMXiURw4sQJtLe3IxgMIisrC4qiYGBgAOPj47KVs0ij8Hq9MoV0rp0/RVHQ0dGBI0eOICkpCeXl5Th//jwOHTqEkydPQq/Xo7q6Gp/97GdRVFQkj4lZkOXl5ejq6sLJkydhMplQU1ODsrKymLyjstQYPMa/WL+o+/jjjzE6Oio7q4p5T6KhhehcaDAY4HK5cOHCBVy8eFHW1oi7wuJP0UQAmLw4sFqtKC4uRkFBAaxWq0zx0gaLZrMZXV1daG9vx8cff4zu7m5EIhFYrVbk5eXBbrcjMTFR3vwSAWNubi4DxhlMbcA2k8xM4IX/p2MKa5yI9XVGvOaV/r7TXqjPtIuo3ZkSqX4mkwk63SfzBUOhkKwfE1JTU2UNonZH0WQyRb2+oijTxl/4/X643W45u1Y0sRFdn8Xzi+6posZPdE7VBoZz1aiJXayZdhBHRkbkrqAoA9AOok9ISJB/VxQlqo5ONCUTqZxiZ1XbTdtut8NiscigVdu85VyvAc/8wgBdQiJ0OiOgM0IHI3Q64+TnYIBOZ8Q//kMi6uuSpgWLKyHbbGJiYlpgKP6u/T4bjcZpgaH4uNwU3Vi3GGsNf4svkAsXLuBf//VfAQDl5eW49dZbsWXLlhlHViiKgpMnT+Lo0aMYHx+XXbbOnTsHj8cDg8GA1NRU5OXlITk5GefPn0c4HEZdXR2qq6vnvPi6cOEC9u3bB7fbjdWrV0NRFOzevRvHjx9HKBRCSUkJ7r33XtTU1MDtduN3v/sdent7kZGRga1bt2JgYABvvfUWEhMTsWHDBpSXl/NijyiGdHd3Y2RkRAaMIvATaarDw8Nwu93yF6WoeREpReLiRHTgMxqNSEtLQ15eHjIzM5GTkwOz2SwDxZycHFitVly8eBHHjx/H22+/jVOnTsHr9cJgMKCoqAg33HADbDYbgsEg3G43EhMTowJG3nia25Gjc88ABIDBwcnH1dctzTkRzUfbGGRqHaLf75ePEzfBLRYLCgoK5A6auHHl8XgwOjqK/v5++X/EOIKioqKoHUWDwSBvhPn9frhcLpw/f37GTqRi9qy2I6no5GwymZCeno7KykpZ2yfWvtlom7f4fD7ZqGx0dBQulwtjY2My9V+ch+h8LXZMRVAiul6L2kTRiVOkxIoOt6JrrXjvRFfTjIwMpKWlwWw2T0vn1O72adfeSETFe3vmv0m17VOxfZNK7LbOVIOo3bUWzX5EWYU2WJypsy1dOkYFC8Rms+Ghhx5CVlYW1q5dO2Pkrqoqzpw5g7a2Nng8HrkF3tPTIy/EnE4nSktL4XA40NnZif7+fqxZswb19fVITU2d9fUDgQBaWlpw8uRJpKWlobi4GO3t7Whvb8fY2Bjy8/Nx5513YsuWLXKsR2dnJ8xmMzZv3gyPx4MPPvgACQkJWL9+PSorK6/pphVEsSgSUdHTY8TR9gH4vBeQlDQGt3tU3pEWHQNFHY6oD9LWofj9fhiNRjgcDmRlZaGwsBAFBQVRF1B2ux0ejwddXV3YtWsXOjs7MTg4CEVR4HQ6sW7dOhQWFsJkMsmuqqOjoygsLERjYyNycnIYMF6G4ZGFfRzRQohEInIwuUjt0waL2kYhKSkp8uI8NzcXFosFBoNBdqIUgdXp06fljptOp5O7ZWvWrJGBkl6vx8TEhAwIu7q6orqSaul0OiQnJ0On08kbZCL1U1VVJCUlwW63w+l0ysBB1Bxqm7qIXUFtHV8wGIwKUsQoD3GjTvxfkWKq0+lk/bk2c0wEcSJIFDuLYuxFQkKC3NV0Op3Izc2NGgky087qldDrdXjsUcyZHv/NR5Y/cJwprVn7fdA20RE/dzabDQUFBVE7iIvZwfRax7TVOSxUioeqqujp6UFraytGR0flHY/+/n54vV6kpKQgLy8PlZWVyM7OxrFjx9DT04PMzEw0NjYiIyNj1tdUVRWnTp3CoUOHoCgKMjIycP78eRw+fBjDw8NIT0/HLbfcgk9/+tNITExER0cH2tvbodfrUVVVJedFAkBVVRXWrl17zbbGvxRMW41/sZpOJpqpHD38LQSCHwEqkGRKRkW5BUVFqUhMTJS/cMUdbnHhJmphrFYr8vPzUVpaioqKiqiOqH6/HwMDAzhx4gSOHz+O8+fPy1R5UfeYn58Pn8+Hnp4ejI2NISkpCYWFhSgqKkJubu6KqwWJFYdbVXzj8fl/FT/1bzrU18XujgBdulhdZ4TOzk4cOXIEPp8PwGT6o7buSzvoXZTViJtIo6OjcLvdMisiHA7LmmeRUi+6W4q6PdEpVBBNYEQgJv5MSEiQqZwiNXR0dFQGfEajUb6WeL35rmlEFoZ2Fl8wGITP55MjIMQ4DzFyRDuaxGw2y3PTNu0RN+vELqLYSTSZTHA6ncjKyoLT6YyqS1yK66+rmTe6UKZ2zZ26i6gdq6H9edPuHopdV5obax6X2EIEj729vWhtbcXFixflXbj+/n6ZrlpaWorKykrk5uaivb0dx48fR0pKCjZs2IBVq1bNe3779+/HhQsXYLfb4ff70draivPnz8NsNmPTpk24++67kZaWhlOnTqG1tRWBQAClpaUwGAxyXmRFRQWqq0nrVO0AACAASURBVKsX5M5WvGPwGP9i8aJO20zl4uDTmJjohk6XAkXxQYm4UFrqhzNt8i68mOkVCASg0+mQmZmJ4uJiNDU1oaysTAaL4XAYAwMDOHfuHI4fP47u7m64XC4YjUY4nU6UlZVh7dq1sFqtGBwcRFdXFzweD5KSklBUVISioiLk5OQwYFwArHm89sTiOqMldtkikYjs4uzz+WRg6HK5ZGMZkSIaiUSmjTwQn9OmyovgUa/Xyz/FXEjtDl4kEoHP55OBokhLVVVVBm2iKYxoziUCualNWsLhsNw1FMGq2G3Uprlqz13sgooxGuKYqC8X5ygCX+2H2EUV6aVTO74u9036pRgJpK391AaIolGbqHsV3by1waE2QGQWy9VhzeMK0t/fj9bWVgwMDAAAgsEgLly4gFAohKysLFx33XWoqqqC0+lEZ2cnXn75ZYTDYdTW1mLt2rVz1hmGw2E5s1HMcWttbcXZs2dhMBjQ2NiIz3zmMyguLkZfXx9++9vfwuVyobCwEBaLBadPn8bExATKy8tRU1MzbzcyIlo+kcjkXWJBVUMIhwcBVQEw2YHw9NkJ6ODDxEQQSUlJyMvLw7p167B582asXr0a6enpUFUVg4OD6O7uxu9//3ucPn0aIyMjmJiYkI1ubr31VqxZswYJCQk4d+4cPv74Y3g8HphMJhQWFmLTpk0MGBfBSkkno2uH3+/H+++/L+dJj4yMyO6jIrNBG/zp9XqZLi8+RC2eSOUUqZnaYyLQU1VVBoc+nw9er1fOgxVNvNLT05GZmYnMzEw4nc6oXSdtqqNoUONyuTAyMoKLFy/C5/PJ8xdEV1KRNupwOGSgIgJEMQ5CW8MpjolxHenp6dM6m4pAMVZ7Ruj1OtTXAQ5HElyu8fn/wyxEyu9Mu4czdTC1Wq3yWlT8W3QDp5UjNn+qV7ChoSG0trait7cXoVBIzk8DgFWrVskmNGazWQZ2o6OjKCkpQX19/byB3Llz53DgwAGMjY3BaDSiu7sbnZ2dUBQF5eXl2L59u2yG89Zbb6Gvrw8ZGRkoLS1FX18fent7UVpaipqamjkLw4koNkxrpqIAihoBFB+UiAcqFCiqBTk51bjzziZcd911yMvLQ0JCgpxNdvjwYZw8eRLDw8Pwer2yDmjLli0oLS1FXl4eJiYm0NXVhQ8//BBerxfJyckoKipCYWEhsrOz+ct9kd10ow7//ASWPZ2MCABeeOEF7Nq1K2qunXYXLTU1FampqXJuq+jweSnNWzweD1wul5yheOHCBZkeazQakZGRgfLycqSlpcm0TrH+iGHtZ8+elUHi8PAwBgcH5UxD0TRFVVX5+mLeotPpnBYgiiBW7CaKYyIFNRKJIDU1FXq9HlardVqgaLVaYzZIXAhTaz+1waI2qE5MTJRBYXp6elSqaUpKSlx1ML3WMW11DpezzasoClpaWnD06FH4fD6Z1mEymVBVVYXGxkasWbMGBoMBbrcbBw8eRG9vL7KystDU1ASn0znn83u9XjQ3N8uW+C6XC52dnfD7/SgqKsJtt92GTZs2yV3JkydPIjU1Fenp6fKu25o1a7Bu3TpYrdarfWuuWUxbjX+xlk721tsq/uEfP1mmz3V9GaHQORgMmTAlVyPFfD1SUprwD98zoXGDG+fPn8fAwAB6enpw4cIFeDweqKoqO6iWlZWhoKAA2dnZcLlc6O7uRnd3N3w+nwwYi4qKkJ2dzV/2y2Ap0slo+cXaOjOVSA0Nh8NXfONIURQZ3IndSzGqApiczZiWliaDxLS0NFgslqhummL+oUiRFTuIfr9frk+iJlLsICYnJ8tzFuOIRAApdkG1Kaii0Y5oXiN2O8XuoTZIjLcUSvFzqO2cOzVQ1HYwNZlM00ZciL+z9Ck2MW01hkUiERw/fhwnT56E1+uF3W7HzTffjA0bNiAvLw/A5N2blpYWnDhxAqmpqbj55ptRXFw85/MqioLjx4+jtbUVbrcbfr8fZ86cgdvtRlZWFu655x7cfPPNMJlM6OjowLFjx6DX65GdnY2xsTF0dXVh1apV+PSnPw2bzbYE7wQRLSRnWvS/M7L/GjrokJi0CqoyjlCoH/7xAzh8aAAffzQEt9sNRVGQkJAAu92OtWvXorCwEPn5+XA4HLJ+8cCBA/D5fEhJSUFhYSGKi4uRlZXFgHGZLVQ6GdHV0Ol0sNlsl3zRGQ6HZZqo9kM0PrFYLEhLS5PlOsnJyXIWpNhJbG5uxuDgoExZFV1ZAchU2ISEBNhsNmRlZcFgMMjdQ0VRZAApUiRFXaF4TDgcloEnAPlcU9NNLRZL3GVaTE3rFYGhoijo7++f1jnXarXC4XCgsLAwKlBc7lpNig0MHhfI+Pg4Ojo6kJqaittuuw0bNmyQO3yKouDEiRNoa2uDoiioq6tDVVXVvHewBgcHsW/fPvT29sLr9aK/vx9DQ0Ow2+24/fbbcfvttyM9PR0nT55EW1sbgsEgHA4H/H4/+vv7UVhYiG3bti3IHUsiWh6164CMjE9SVw16KyYmzmDMfRSR8AgikVGkpip/GDSdguLiYhks5ubmIikpCRcuXEBnZyd6enowPj6O1NRUGTBmZmYyYCSiSxYMBqMCRDFbVlVV6HQ62cAmNzdXpq76/X6Mjo7i448/xsWLFzE2NiYDRHGzSwSIer0edrsdycnJMBgMcvdQjN7Q6XRRsyNF7aOYpej3+2UXVmCy3s5msyE9PT0qSDSbzXEVJIoOptrgcGqgCECmIlssFuTl5ckZiOIjnlNwaWEwbXUOl5ue6PV6p7WF7u3txcGDB+F2u1FWVob169fPW9codijb29sxNDSEkZERDA4OwmQyoa6uDnfeeSdWrVqF3t5etLS0wOVywWw2y65feXl5qKurQ3p6+hV93TQ7pq3Gv1hMJ9N2Wx1zv4Zg8DR0AFQo0CdY8MAXs3Drp/ORn58vR/tcuHBBpqT6/X45cqO4uBgZGRkMGGMc15r4FovrzEyv2dvbG1Wf6HK54PF4AEymi5rNZphMJtlBNRwO4+LFixgaGoLH44kKEEWDGhFQinmLUwPExMRE6HQ6GI3GGbtuihFEYiyI2DUzGAxRzWrEnxaLJW7Wu3A4LEdcTA0SxVxfIHq0ytQuptqgmetM/GPaaowrKCiQ36DR0VEcPHgQfX19yMnJwU033YS0tLR5ngE4deoU9u/fj66uLrlYJyQkoKamBrfffjuqq6vhdruxe/dunD9/Xhane71e5OTk4Oabb0ZWVtZif6lEtIS0zVQ87gQYDOkwGnOQlZ2Px7+Rh9tvs0BRFAwMDODAgQPo7u5GIBCA2WzG6tWrZafCeLmAIqLF1dXVhVdffRXDw8NyzqEIEhMTE+XuXldXl2xSIxrOiAAxMTERTqcTKSkp0Ov1Mn0UgLzJnpiYKANEbWCjDRDdbjd6e3tlkGg0GmG32+FwOLBq1So5/kLMnFzpJiYmouoPtYGiaCwEIGr3dWp6aby8FxSbGDwusEAggLa2Npw4cQJmsxm33HILCgsL5/1/brcbe/fuxZEjRzAwMIDR0VFEIhGUlJTglltuQVNTEyKRCPbt24dTp07JYvZQKITMzEzU1dUhJydnCb5CIloON92ow/VbgMOttyEQNCM1JYCaagWDgwP48MN29PT0IBAIwGKxoKSkRAaMRESXy+v14uzZs3C5XH9IiZ8M5sScRhFImkwmZGVlyX+LWY4JCQky/VE0WdHufqWmpkKn08l01tHRUfT09GBsbCwqwLTb7XA6nVizZo3cTUxNTV3Ot2ZBBAKBWRvUzNTB1Gq1IjMzM6pBDces0XJh8LiAjh07hvfeew8A0NDQgIqKinnrGsPhMI4ePYoPPvgAnZ2d8Hg8iEQiyMvLww033IAbb7wRKSkpOHbsGDo6OjA+Pi4XZIfDgbq6OuTn5y/610ZEy0+v12FDvR7j48M4cuQIXnyxB8FgEBaLBaWlpSguLp63czMR0XyGhoYwNjYGRVGQkpISlWIqGtSI5jTAZOdUbWCjDXCCwSDcbrcMEru6uuRzA5CjgzIzM1FaWipTT1d6cCQ6mM5Ug6idNyneO1GDqE01ZQdTikUMHhdIIBDAwYMHsWrVKqxfvx7Jycnz/p/e3l68/fbbaGlpwcjICBRFQUZGBpqamrB161ZkZ2ejs7MTR44ckemwBoMBTqcTdXV1l7SjSUTx5e2338bo6Cj0ej3Ky8tRVFTEgJGIFlR+fj5Wr16NQCAg6+NSUlKidg+1QY5er5cBotvtRldXF0ZHRzE2Nibr8JKTk2G325GdnY2Kigq5k3gp10uxSFVVWX840xxEbQfT1NRUWK1WOJ1OFBcXR6XpsoMprTQMHheIyWTCl770pUsqSvX5fNizZw/efvtt9PT0QFVV2O121NfX45ZbbkFJSQn6+vrwyiuvoL+/Xw6xzcjIQF1dHYqLi5nLTnSNqq+vh8PhiKsugUQUOyIRFf0DGVB1G5GVrcfGJitstsmupuFwWAaJw8PDOH36NEZHR6OataSkpMButyM3NxdVVVWycc1K3EXTdjCdGhzO1MHUarUiKysLJSUlUc1+2MGU4gl/mpeQoijo6OjAzp070dHRgVAoJOewbd26FTU1NRgbG8Pu3btx9uxZ+Hw+JCUlITc3F7W1tVi9ejUvGImucU6nkx3yiGhRvPe+in9/WsXgoAWRyAQikVFYLaex/U43CgvcstMqAJjNZthsNhQUFER1OU1KSlrGr+DyiXmTM9UgztbBVJteOrWDKVG8Y/C4RAYHB7Fjxw68//778Hg8sNvtqK6uxo033oiGhgaoqor9+/fjo48+gsvlgslkQmFhIdatW4fS0lIuSkRERLRotCOBgoEO+MdbAACBcTP+77N2PPz1AtyyNU12N11J6ZbaDqZTaxDHx8fl4wwGg9wxLCoqikrPFU1+iK51DB4X2cTEBP7nf/4HL7/8MgYGBmA2m7Fu3Tps3rwZmzdvhsViQXt7O9ra2jAwMACj0YiioiLU1taivLx83oY7RERERFcjEpnccRSSTBUwGHOg19ug001eKv7PW8BXvqyDXh+bAVQgEJixOY2YNykkJSXJHcOsrKyo2s2V3qSHaCkweFwAkYiKI0eBQDAIU5KK2nWTXRGPHDmCZ555BidOnIDRaERFRQUaGhpw/fXXIz8/HydOnMDrr7+Orq4u6PV6FBUVYf369aioqGB+PBERES2JI0eBoaFP/q3TGWAwRDfiGhycfFx93RKf3B+oqio7mM7UoEbbwVQ097HZbMjPz4/qALvS0mqJYg0jlKsk6gMmF10vAMBmHUR+7n+hr3cfwuEwioqK0NDQgC1btqCiogK9vb144YUXcOLECUQiERQXF6O+vh6VlZUrKg2EiIiIVr7hkYV93JVSFAU+n29aYDg2Ngav1xvVwdRsNsNiscDpdGLVqlVRO4hGo3FxT5ToGsbg8Spo6wMAQFEm4Hb9Bl2nd+Jwixu1Nbm4/fYGXHfddaitrYXH48GuXbvQ2toKv9+PoqIiNDY2Yu3atbwTRkRERMvCmbawj5tLJBKRIy5EkKhtUCM6mCYkJMgRF9nZ2VEjQsxmM8t6iJYJg8crNLU+IBL24nzvNzAx0QWD3gGz+VPwT2zC//pfDdDrE7B3717s27cPo6OjKCwsxO23346ampoV2bqaiIiI4kftOiAjIzp1darMzMnHXQptB9OpdYher1c+Tq/Xy93CgoKCqN1DdjAlik0xHTwePXoUTz/9NNra2hAKhVBSUoIHH3wQd9999yU/h6IoeO655/D888+ju7sbKSkp2LhxIx5//HEUFxdf8blNrQ9QVAVQw0hJ3YSU1M1ITW1COOzAq6+2oa/vXVy4cAG5ubm4//77UVtby6JsIiIiigl6vQ6PPYqobKqpvvlIdLOciYmJWRvUaDuYGo1GuWOoTS+1Wq1ISUlhB1OiFSZmg8cDBw7gK1/5CoxGI+666y5YLBbs3r0b3/rWt9DX14evf/3rl/Q83/ve9/Cb3/wGJSUl+OIXv4jh4WHs2rULe/fuxX//93+jpKTkis5vat6/QW+CI/1BGBOLYTQWIxg8DtfIc3jltz1YX5uB+++/H3V1dTCbzVf0ekREszXnIiK6WjfdqMM/PwFNHwdAUfxIc3jwhc97YLV48f77nhk7mJpMJhkUihRT8e/k5ORl+oqIaDHoVDH9NIaEw2HccccdGBgYwPPPP4+qqioAgNfrxec//3mcPXsWr7/++rw7h/v378eDDz6IhoYGPPPMM7IZzb59+/ClL30JDQ0N+NWvfjXr/59rCPfhVhXfeHz6WxcMnoXH/QYmgieQoLfhW39xE77whY2wWq2X8JVTrONw9vh3ud9jh8Nx1a95Ka8X3ZxrUkYG8NijOtx0IwPIeMO1Jr7F6joDTN6k2vXGGRw+fBg6nQ8F+YBO90kHU21gKP7OZn8rE9eZ+LcYa01M7jzu378fPT09uP/++2XgCEx21nr44Yfx+OOPY8eOHfiLv/iLOZ/nhRdeAAA89thjUQvb5s2bcf311+ODDz7A2bNnsWrVqss+x9p1gNUKjI1N/ltVIxgd+RX8/lbodCakWj6N3Nzr8b//t4M7A0R0VaY25xKGhibTzP75CTCAJKIFodfrcOMN6VhfuwmqqspAkSPEiAgAYrISubm5GQBw/fXXTzu2ZcuWqMfM5cCBA0hJSUF9ff20Y+K5Dx48eDWnKimKH8HgaaSkbkFG1v+Bzb4deoN9QZ6biK5dU5tzzeRHP1YRicRcEgkRrVA2mw3r1q1DYWEhHA4HA0cikmIyeOzq6gIAFBUVTTtms9ngcDjQ3d0953OMj49jaGgI+fn5M7ZzFimv4rUu15Gjn+w6AoBeb0ZWzvdgd/wRDIbJXtZjY5OPIyK6UlObc81EDO8mIiIiWkwxeStJtHG2WCwzHjebzRgYGJjzOTwej3zsbM+hfa2Z2Gy2WdtEB4JBANH/V6ebHqQGgqlwODjDMZ4sRO0Jxbal/h5f7loz8+O41sQbrjXxLZbWmdnwZzD+8Xsc/xb6exyTwWOscLvdsx4zJV1aipgpyQeXa3z+B9KKwOLy+LccjSy41tBUXGviW6ytM7O9Jn8G4xu/x/FvMdaamExbFbuCYvdwKq/XO+uupCCOz7azKD5/paMzxEDduVzOQF0ioplwrSEiIqJYEZPBo6hHnKmu0e12w+VyzVgPqZWSkoKMjAz09vYiEolMOy5qHecb9zGbyYG6c3c3nDpQl4jocnGtISIiolgRk8FjY2MjAGDPnj3Tju3duxcA0NTUNO/zNDU1YXx8HIcPH552TDy3eK0rMTlQVzdtVyAzE/jnJzh7jYgWBtcaIiIiigUxWfO4efNmFBQU4LXXXsOf/umforKyEsBkqulPfvITGAwG3HffffLxIyMjcLlccDgcSEtLk5//4z/+Y7z++uv493//dzzzzDNy1uO+ffuwZ88eNDY2XtGMR62bbtTh+i2TnQ4DwVSYknyoXQfuAhDRguJaQ0RERMstJoNHg8GAf/qnf8JXv/pVfOELX8D27dthNpuxe/du9Pb24rHHHosK+n7961/jxz/+MR555BE8+uij8vObNm3CH/3RH+GFF17Afffdh5tuugnDw8PYtWsXzGYzvv/97y/I+er1OtTXAQ5HEhtWENGi4VpDREREyykmg0dgMvB77rnn8NRTT+GNN95AKBRCSUkJvvnNb+Kee+655Od54oknUF5ejueffx7PPvssUlJSsHXrVjz++ONXvetIRERERER0rdCpqnppfeCvQZfbvpgtj+Mfv8fxbzla6HOtoan4PY5vXGcoFvB7HP+umVEdREREREREFFsYPBIREREREdG8GDwSERERERHRvBg8EhERERER0bwYPBIREREREdG8GDwSERERERHRvBg8EhERERER0bwYPBIREREREdG8GDwSERERERHRvBg8EhERERER0bwYPBIREREREdG8GDwSERERERHRvBg8EhERERER0bwYPBIREREREdG8dKqqqst9EkRERERERBTbuPNIRERERERE82LwSERERERERPNi8EhERERERETzYvBIRERERERE82LwSERERERERPMyLPcJxKuDBw/inXfewbFjx/DRRx/B6/Xivvvuww9+8IPlPjW6TEePHsXTTz+NtrY2hEIhlJSU4MEHH8Tdd9+93KdGC+CVV15BS0sLjh07hs7OToRCITz55JO4//77l/vULgnXmvjBtSZ+cZ2hWMF1Jr4txVrD4HGRvPTSS9i5cyeSk5ORk5MDr9e73KdEV+DAgQP4yle+AqPRiLvuugsWiwW7d+/Gt771LfT19eHrX//6cp8iXaUf/ehH6Ovrg8PhQGZmJvr6+pb7lC4L15r4wLUmvnGdoVjAdSb+Lclao9KiOHr0qNrZ2amGw2G1tbVVLSsrU7/zne8s92nRZQiFQuq2bdvU6upqtaOjQ37e4/God911l1pVVaWePXt2+U6QFsTevXvV3t5eVVVV9ac//alaVlamvvTSS8t8VpeOa83Kx7Um/nGdoeXGdebasBRrDWseF0lNTQ1KS0uh1+uX+1ToCu3fvx89PT3Yvn07qqqq5OfNZjMefvhhhMNh7NixYxnPkBbCddddh7y8vOU+jSvGtWbl41oT/7jO0HLjOnNtWIq1hsEj0Syam5sBANdff/20Y1u2bIl6DBHRleJaQ0SLjesMLRQGj0Sz6OrqAgAUFRVNO2az2eBwONDd3b3EZ0VE8YZrDREtNq4ztFAYPBLNQjQEsFgsMx43m83weDxLeUpEFIe41hDRYuM6QwuF3VbnsHHjRoyOjl7y43/5y19i48aNi3hGRBSPuNYQ0WLjOkNEC4HB4xy2b98On893yY9PT09fxLOhpWY2mwFg1jtxXq931jt4RJeDa821jWsNLQWuM9c2rjO0UBg8zuHv/u7vlvsUaBkVFxcDALq7u1FdXR11zO12w+Vyoa6ubhnOjOIN15prG9caWgpcZ65tXGdoobDmkWgWjY2NAIA9e/ZMO7Z3714AQFNT05KeExHFH641RLTYuM7QQmHwSDSLzZs3o6CgAK+99hqOHz8uP+/1evGTn/wEBoMB99133zKeIRHFA641RLTYuM7QQtGpqqou90nEo0OHDuHFF18EAIyMjOC9995DYWEhNmzYAABYvXo1/uzP/mw5T5Euwf79+/HVr34VRqMR27dvh9lsxu7du9Hb24vHHnsMDz300HKfIl2lF154AS0tLQCAzs5OdHR0oL6+XrYz37ZtG7Zt27acpzgnrjXxgWtNfOM6Q7GA60z8W4q1hsHjItmxYwe++93vznq8qakJzz777BKeEV2po0eP4qmnnkJbWxtCoRBKSkrw4IMP4p577lnuU6MF8Fd/9VfYuXPnrMcfeeQRPProo0t4RpeHa0384FoTv7jOUKzgOhPflmKtYfBIRERERERE82LNIxEREREREc2LwSMRERERERHNi8EjERERERERzYvBIxEREREREc2LwSMRERERERHNi8EjERERERERzYvBIxEREREREc2LwSMRERERERHNi8EjERERERERzYvBIxEREREREc2LwSPRZdqxYwfKy8vx9NNPL/epEFEc41pDRIuN6wxdLgaPRERERERENC8Gj0RERERERDQvnaqq6nKfBNGVCAaDaGhoQEZGBt55552oY1/72tfw7rvvoqmpCc8++2zUse3bt+PMmTNobm6G2WzGu+++izfffBNtbW24cOECFEVBYWEh7rzzTnz5y19GYmKi/L8PPPAAmpubZzyfJ598Evfff7/894kTJ/Czn/0Mzc3NcLlcsNvtuOGGG/Dnf/7nyM/Pj/q/Tz/9NH784x/jySefRElJCf7jP/4DbW1tGB0dxcsvv4zKysqrfbuI6ApxrSGixcZ1hlYKw3KfANGVSkpKQm1tLQ4ePIje3l65eEUiEbS0tAAA2traEAwGkZSUBAAYGRnBqVOnUFVVBbPZDAD4m7/5G4yPj6O0tBRlZWXwer1ob2/Hv/3bv2Hfvn34+c9/Dr1eDwC44YYbEA6HcfjwYVRUVEQtgIWFhfLvb775Jv7yL/8SoVAIa9euRV1dHc6dO4cdO3bgnXfewa9+9SuUlpZO+5oOHjyIv//7v0dxcTG2bNmCwcFB6HS6xXkDieiScK0hosXGdYZWDJVoBfvRj36klpWVqS+99JL83NGjR9WysjL1rrvuUsvKytT9+/fLY2+88YZaVlam/uAHP5Cfe+utt1Sfzxf1vB6PR/3a176mlpWVqTt37ow69tJLL6llZWXqU089NeM59fT0qLW1teqGDRvU5ubmqGM7d+5Uy8rK1M9+9rNRn3/qqafUsrIytaysTP3Zz352eW8CES06rjVEtNi4ztBKwJpHWtEaGxsBICrt4uDBgwCAhx9+eNZjTU1N8nPbtm1DSkpK1POazWZ897vfBQC8/fbbl3VOv/zlL+H3+/Htb39bnp9w7733Ytu2bWhvb0dHR8e0/1tWVoavfvWrl/V6RLT4uNYQ0WLjOkMrAdNWaUWrr69HYmJi1GLa3NwMq9WK22+/HT/84Q+nHUtISMCGDRuinqerqwvvvfceenp6MD4+DlVVof6hHLirq+uyzunDDz8EAHzqU5+a8fiGDRvwu9/9Du3t7Vi7dm3Usa1btzKlgygGca0hosXGdYZWAgaPtKIlJSVh3bp1OHToEHp7e5Gbm4uWlhY0NDQgISEBjY2NePPNNxEMBuHz+XDy5ElUVVXBarUCAFRVxQ9/+EP84he/kAvrVD6f77LOqa+vDwCwZcuWOR/ncrmmfS4nJ+eyXouIlgbXGiJabFxnaCVg8EgrXmNjIw4dOoTm5maUl5djbGwMGzduBABs3LgRr776Ktra2uB2u6GqalR6x65du/DMM88gOzsbf/3Xf43169cjLS0NRqMRExMTqKmpuezziUQi0Ol0uPfee+d8Oq1pqgAAAs1JREFU3EzF5aIInohiD9caIlpsXGco1jF4pBVv48aN+M///E80NzfD7XYD+CT/X/ypPabN2X/rrbcAAN///vexdevWqOc9d+7cFZ1PdnY2enp68Ld/+7ey+xkRrXxca4hosXGdoVjHhjm04tXV1cFoNKK5uRkHDhyAzWZDRUUFAKCoqAjZ2dnymEj7EMbGxgDMnFrxxhtvzPh6RqMRABAOh2c8vnnzZgDA7373uyv/oogo5nCtIaLFxnWGYh2DR1rxTCYTampq0NfXhw8//FDWBgiNjY1obW3FyZMnUVFRIWsDAKC4uBgA8Pzzz0fVBxw6dAj/9V//NePrZWZmAgDOnj074/Evf/nLMJlMePLJJ6cN+gWA0dFR/PrXv0YgELjsr5WIlg/XGiJabFxnKNYxbZXiQlNTEw4fPoxgMBiV/w98UiMAYFqb6QceeAA7d+7Ec889J+sLLly4gJaWFnzpS1/Cz3/+82mvtX79ejidTrz55pt44IEHkJ+fj4SEBHz2s59FfX09iouL8S//8i/49re/jYceegirVq3CmjVroKoqzp8/j1OnTiEUCuHuu++GyWRavDeFiBYc1xoiWmxcZyiWceeR4oIoJp/6dyB6/tHURXjVqlV48cUXsXXrVrhcLrzzzjsYHx/HE088ge985zszvlZSUhJ++tOfYsuWLTh+/Dh27tyJF198Mar99a233opXXnkFf/Inf4JwOIz3338fzc3NmJiYwN13342f/vSnsFgsC/CVE9FS4lpDRIuN6wzFMp06Wy9fIiIiIiIioj/gziMRERERERHNi8EjERERERERzYvBIxEREREREc2LwSMRERERERHNi8EjERERERERzYvBIxEREREREc2LwSMRERERERHNi8EjERERERERzYvBIxEREREREc2LwSMRERERERHNi8EjERERERERzYvBIxEREREREc3r/wPEWyvntvjvBAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] @@ -1410,7 +1329,7 @@ } ], "source": [ - "fig, axs = plt.subplots(2, 3, figsize=[9, 5], sharey=True, sharex=True)\n", + "_, axs = plt.subplots(2, 3, figsize=[9, 5], sharey=True, sharex=True, constrained_layout=True)\n", "\n", "n_lines = 20\n", "pred_x = np.array([-1, 1])\n", @@ -1444,9 +1363,7 @@ " if ax.is_first_col():\n", " ax.set_ylabel(\"blooms\")\n", " if ax.is_last_row():\n", - " ax.set_xlabel(\"water\")\n", - "\n", - "fig.tight_layout()" + " ax.set_xlabel(\"water\");" ] }, { @@ -1458,25 +1375,25 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "with m_8_4:\n", - " m_8_4_priors = pm.sample_prior_predictive(vars=[\"a\", \"bw\", \"bs\"])\n", + " m_8_4_priors = pm.sample_prior_predictive(var_names=[\"a\", \"bw\", \"bs\"])\n", "\n", "with m_8_5:\n", - " m_8_5_priors = pm.sample_prior_predictive(vars=[\"a\", \"bw\", \"bs\", \"bws\"])" + " m_8_5_priors = pm.sample_prior_predictive(var_names=[\"a\", \"bw\", \"bs\", \"bws\"])" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1486,7 +1403,7 @@ } ], "source": [ - "fig, axs = plt.subplots(2, 3, figsize=[9, 5], sharey=True, sharex=True)\n", + "_, axs = plt.subplots(2, 3, figsize=[9, 5], sharey=True, sharex=True, constrained_layout=True)\n", "\n", "n_lines = 20\n", "pred_x = np.array([-1, 1])\n", @@ -1522,28 +1439,26 @@ " if ax.is_first_col():\n", " ax.set_ylabel(\"blooms\")\n", " if ax.is_last_row():\n", - " ax.set_xlabel(\"water\")\n", - "\n", - "fig.tight_layout()" + " ax.set_xlabel(\"water\");" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ + "arviz 0.7.0\n", "pymc3 3.8\n", "pandas 1.0.3\n", "numpy 1.18.1\n", - "arviz 0.7.0\n", "last updated: Tue May 19 2020 \n", "\n", "CPython 3.7.6\n", - "IPython 7.13.0\n", + "IPython 7.14.0\n", "watermark 2.0.2\n" ] }