diff --git a/.github/workflows/generate_notebook_matrix.py b/.github/workflows/generate_notebook_matrix.py
index 39899ff77..03a6b2ab4 100644
--- a/.github/workflows/generate_notebook_matrix.py
+++ b/.github/workflows/generate_notebook_matrix.py
@@ -14,26 +14,26 @@
"cdip_example.ipynb": 180,
"Delft3D_example.ipynb": 180,
"directional_waves.ipynb": 180,
- "environmental_contours_example.ipynb": 720,
+ "environmental_contours_example.ipynb": 360,
"extreme_response_contour_example.ipynb": 360,
- "extreme_response_full_sea_state_example.ipynb": 420,
- "extreme_response_MLER_example.ipynb": 650,
+ "extreme_response_full_sea_state_example.ipynb": 360,
+ "extreme_response_MLER_example.ipynb": 360,
"loads_example.ipynb": 180,
- "metocean_example.ipynb": 240,
- "mooring_example.ipynb": 300,
+ "metocean_example.ipynb": 180,
+ "mooring_example.ipynb": 240,
"PacWave_resource_characterization_example.ipynb": 780,
"power_example.ipynb": 180,
"qc_example.ipynb": 180,
- "river_example.ipynb": 240,
+ "river_example.ipynb": 180,
"short_term_extremes_example.ipynb": 180,
"SWAN_example.ipynb": 180,
- "tidal_example.ipynb": 240,
+ "tidal_example.ipynb": 180,
"tidal_performance_example.ipynb": 180,
"upcrossing_example.ipynb": 180,
"wave_example.ipynb": 180,
"wecsim_example.ipynb": 180,
- "WPTO_hindcast_example.ipynb": 1200,
- "default": 300, # Default timeout for other notebooks
+ "WPTO_hindcast_example.ipynb": 180,
+ "default": 60, # Default timeout for other notebooks
}
notebooks = []
for root, dirs, files in os.walk("examples"):
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index d6bd0ce7f..9513dd72e 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -9,6 +9,7 @@ on:
branches:
- master
- develop
+
jobs:
set-os:
runs-on: ubuntu-latest
@@ -429,6 +430,39 @@ jobs:
echo "conda activate TESTconda" >> ~/.bashrc
source ~/.bashrc
+ - name: Download non-hindcast data
+ uses: actions/download-artifact@v4
+ with:
+ name: data
+ path: ~/.cache/mhkit
+
+ - name: Download Wave Hindcast data (if available)
+ if: (needs.check-changes.outputs.should-run-hindcast == 'true')
+ uses: actions/download-artifact@v4
+ with:
+ name: wave-hindcast-data
+ path: ~/.cache/mhkit/wave-hindcast
+
+ - name: Download Wind Hindcast data (if available)
+ if: (needs.check-changes.outputs.should-run-hindcast == 'true')
+ uses: actions/download-artifact@v4
+ with:
+ name: wind-hindcast-data
+ path: ~/.cache/mhkit/wind-hindcast
+
+ - name: Consolidate hindcast data
+ if: (needs.check-changes.outputs.should-run-hindcast == 'true')
+ run: |
+ mkdir -p ~/.cache/mhkit/hindcast
+ mv ~/.cache/mhkit/wave-hindcast/hindcast/* ~/.cache/mhkit/hindcast/
+ mv ~/.cache/mhkit/wind-hindcast/hindcast/* ~/.cache/mhkit/hindcast/
+ shell: bash
+
+ - name: Copy .hscfg file to examples directory
+ shell: bash -l {0}
+ run: |
+ cp .hscfg examples/
+
- name: Run notebook
shell: bash -l {0}
run: |
diff --git a/examples/WPTO_hindcast_example.ipynb b/examples/WPTO_hindcast_example.ipynb
index 1b6565797..cae359565 100644
--- a/examples/WPTO_hindcast_example.ipynb
+++ b/examples/WPTO_hindcast_example.ipynb
@@ -119,7 +119,16 @@
"cell_type": "code",
"execution_count": 3,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "hash params: 3-hour_significant_wave_height_(44.624076, -124.280097)_[1995]_None_True_True_True_None_True\n",
+ "Cache filename: 8e07b75503ee52b12adb762f4fe2cb41.pkl\n"
+ ]
+ }
+ ],
"source": [
"data_type = \"3-hour\" # setting the data type to the 3-hour dataset\n",
"years = [1995]\n",
@@ -171,6 +180,7 @@
"
distance_to_shore \n",
" timezone \n",
" jurisdiction \n",
+ " gid \n",
" \n",
" \n",
" \n",
@@ -182,6 +192,7 @@
" 15622.175781 \n",
" -8 \n",
" Federal \n",
+ " 413889 \n",
" \n",
" \n",
"\n",
@@ -191,8 +202,8 @@
" water_depth latitude longitude distance_to_shore timezone \\\n",
"0 77.429497 44.624298 -124.278999 15622.175781 -8 \n",
"\n",
- " jurisdiction \n",
- "0 Federal "
+ " jurisdiction gid \n",
+ "0 Federal 413889 "
]
},
"execution_count": 4,
@@ -304,6 +315,14 @@
"execution_count": 6,
"metadata": {},
"outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "hash params: 3-hour_energy_period_((44.624076, -124.280097), (43.489171, -125.152137))_[1995]_None_True_True_True_None_True\n",
+ "Cache filename: 8c9ed0cc513f181b6f839f5397f065e2.pkl\n"
+ ]
+ },
{
"data": {
"text/html": [
@@ -423,6 +442,7 @@
" distance_to_shore \n",
" timezone \n",
" jurisdiction \n",
+ " gid \n",
" \n",
" \n",
" \n",
@@ -434,6 +454,7 @@
" 15622.175781 \n",
" -8 \n",
" Federal \n",
+ " 413889 \n",
" \n",
" \n",
" 1 \n",
@@ -443,6 +464,7 @@
" 64236.390625 \n",
" -8 \n",
" Federal \n",
+ " 296246 \n",
" \n",
" \n",
"\n",
@@ -453,9 +475,9 @@
"0 77.429497 44.624298 -124.278999 15622.175781 -8 \n",
"1 1337.407959 43.496300 -125.152000 64236.390625 -8 \n",
"\n",
- " jurisdiction \n",
- "0 Federal \n",
- "1 Federal "
+ " jurisdiction gid \n",
+ "0 Federal 413889 \n",
+ "1 Federal 296246 "
]
},
"execution_count": 7,
@@ -483,6 +505,14 @@
"scrolled": true
},
"outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "hash params: 3-hour_omni-directional_wave_power_(44.624076, -124.280097)_[1995, 1996]_None_True_True_True_None_True\n",
+ "Cache filename: 789df7c7aa7d1d46b909a027de537680.pkl\n"
+ ]
+ },
{
"data": {
"text/html": [
@@ -628,6 +658,7 @@
" distance_to_shore \n",
" timezone \n",
" jurisdiction \n",
+ " gid \n",
" \n",
" \n",
" \n",
@@ -639,6 +670,7 @@
" 15622.175781 \n",
" -8 \n",
" Federal \n",
+ " 413889 \n",
" \n",
" \n",
"\n",
@@ -648,8 +680,8 @@
" water_depth latitude longitude distance_to_shore timezone \\\n",
"0 77.429497 44.624298 -124.278999 15622.175781 -8 \n",
"\n",
- " jurisdiction \n",
- "0 Federal "
+ " jurisdiction gid \n",
+ "0 Federal 413889 "
]
},
"execution_count": 9,
@@ -673,7 +705,16 @@
"cell_type": "code",
"execution_count": 10,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "hash params: 1-hour_['significant_wave_height', 'peak_period', 'mean_wave_direction']_(44.624076, -124.280097)_[1995]_None_True_True_True_None_True\n",
+ "Cache filename: 8d8439bc10f2e7a023966833fe329c23.pkl\n"
+ ]
+ }
+ ],
"source": [
"data_type = \"1-hour\" # Setting the data_type to 1 hour data\n",
"years = [1995]\n",
@@ -854,962 +895,7 @@
"outputs": [
{
"data": {
- "application/javascript": [
- "/* Put everything inside the global mpl namespace */\n",
- "/* global mpl */\n",
- "window.mpl = {};\n",
- "\n",
- "mpl.get_websocket_type = function () {\n",
- " if (typeof WebSocket !== 'undefined') {\n",
- " return WebSocket;\n",
- " } else if (typeof MozWebSocket !== 'undefined') {\n",
- " return MozWebSocket;\n",
- " } else {\n",
- " alert(\n",
- " 'Your browser does not have WebSocket support. ' +\n",
- " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
- " 'Firefox 4 and 5 are also supported but you ' +\n",
- " 'have to enable WebSockets in about:config.'\n",
- " );\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
- " this.id = figure_id;\n",
- "\n",
- " this.ws = websocket;\n",
- "\n",
- " this.supports_binary = this.ws.binaryType !== undefined;\n",
- "\n",
- " if (!this.supports_binary) {\n",
- " var warnings = document.getElementById('mpl-warnings');\n",
- " if (warnings) {\n",
- " warnings.style.display = 'block';\n",
- " warnings.textContent =\n",
- " 'This browser does not support binary websocket messages. ' +\n",
- " 'Performance may be slow.';\n",
- " }\n",
- " }\n",
- "\n",
- " this.imageObj = new Image();\n",
- "\n",
- " this.context = undefined;\n",
- " this.message = undefined;\n",
- " this.canvas = undefined;\n",
- " this.rubberband_canvas = undefined;\n",
- " this.rubberband_context = undefined;\n",
- " this.format_dropdown = undefined;\n",
- "\n",
- " this.image_mode = 'full';\n",
- "\n",
- " this.root = document.createElement('div');\n",
- " this.root.setAttribute('style', 'display: inline-block');\n",
- " this._root_extra_style(this.root);\n",
- "\n",
- " parent_element.appendChild(this.root);\n",
- "\n",
- " this._init_header(this);\n",
- " this._init_canvas(this);\n",
- " this._init_toolbar(this);\n",
- "\n",
- " var fig = this;\n",
- "\n",
- " this.waiting = false;\n",
- "\n",
- " this.ws.onopen = function () {\n",
- " fig.send_message('supports_binary', { value: fig.supports_binary });\n",
- " fig.send_message('send_image_mode', {});\n",
- " if (fig.ratio !== 1) {\n",
- " fig.send_message('set_device_pixel_ratio', {\n",
- " device_pixel_ratio: fig.ratio,\n",
- " });\n",
- " }\n",
- " fig.send_message('refresh', {});\n",
- " };\n",
- "\n",
- " this.imageObj.onload = function () {\n",
- " if (fig.image_mode === 'full') {\n",
- " // Full images could contain transparency (where diff images\n",
- " // almost always do), so we need to clear the canvas so that\n",
- " // there is no ghosting.\n",
- " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
- " }\n",
- " fig.context.drawImage(fig.imageObj, 0, 0);\n",
- " };\n",
- "\n",
- " this.imageObj.onunload = function () {\n",
- " fig.ws.close();\n",
- " };\n",
- "\n",
- " this.ws.onmessage = this._make_on_message_function(this);\n",
- "\n",
- " this.ondownload = ondownload;\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._init_header = function () {\n",
- " var titlebar = document.createElement('div');\n",
- " titlebar.classList =\n",
- " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
- " var titletext = document.createElement('div');\n",
- " titletext.classList = 'ui-dialog-title';\n",
- " titletext.setAttribute(\n",
- " 'style',\n",
- " 'width: 100%; text-align: center; padding: 3px;'\n",
- " );\n",
- " titlebar.appendChild(titletext);\n",
- " this.root.appendChild(titlebar);\n",
- " this.header = titletext;\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
- "\n",
- "mpl.figure.prototype._init_canvas = function () {\n",
- " var fig = this;\n",
- "\n",
- " var canvas_div = (this.canvas_div = document.createElement('div'));\n",
- " canvas_div.setAttribute(\n",
- " 'style',\n",
- " 'border: 1px solid #ddd;' +\n",
- " 'box-sizing: content-box;' +\n",
- " 'clear: both;' +\n",
- " 'min-height: 1px;' +\n",
- " 'min-width: 1px;' +\n",
- " 'outline: 0;' +\n",
- " 'overflow: hidden;' +\n",
- " 'position: relative;' +\n",
- " 'resize: both;'\n",
- " );\n",
- "\n",
- " function on_keyboard_event_closure(name) {\n",
- " return function (event) {\n",
- " return fig.key_event(event, name);\n",
- " };\n",
- " }\n",
- "\n",
- " canvas_div.addEventListener(\n",
- " 'keydown',\n",
- " on_keyboard_event_closure('key_press')\n",
- " );\n",
- " canvas_div.addEventListener(\n",
- " 'keyup',\n",
- " on_keyboard_event_closure('key_release')\n",
- " );\n",
- "\n",
- " this._canvas_extra_style(canvas_div);\n",
- " this.root.appendChild(canvas_div);\n",
- "\n",
- " var canvas = (this.canvas = document.createElement('canvas'));\n",
- " canvas.classList.add('mpl-canvas');\n",
- " canvas.setAttribute('style', 'box-sizing: content-box;');\n",
- "\n",
- " this.context = canvas.getContext('2d');\n",
- "\n",
- " var backingStore =\n",
- " this.context.backingStorePixelRatio ||\n",
- " this.context.webkitBackingStorePixelRatio ||\n",
- " this.context.mozBackingStorePixelRatio ||\n",
- " this.context.msBackingStorePixelRatio ||\n",
- " this.context.oBackingStorePixelRatio ||\n",
- " this.context.backingStorePixelRatio ||\n",
- " 1;\n",
- "\n",
- " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
- "\n",
- " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
- " 'canvas'\n",
- " ));\n",
- " rubberband_canvas.setAttribute(\n",
- " 'style',\n",
- " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
- " );\n",
- "\n",
- " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
- " if (this.ResizeObserver === undefined) {\n",
- " if (window.ResizeObserver !== undefined) {\n",
- " this.ResizeObserver = window.ResizeObserver;\n",
- " } else {\n",
- " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
- " this.ResizeObserver = obs.ResizeObserver;\n",
- " }\n",
- " }\n",
- "\n",
- " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
- " var nentries = entries.length;\n",
- " for (var i = 0; i < nentries; i++) {\n",
- " var entry = entries[i];\n",
- " var width, height;\n",
- " if (entry.contentBoxSize) {\n",
- " if (entry.contentBoxSize instanceof Array) {\n",
- " // Chrome 84 implements new version of spec.\n",
- " width = entry.contentBoxSize[0].inlineSize;\n",
- " height = entry.contentBoxSize[0].blockSize;\n",
- " } else {\n",
- " // Firefox implements old version of spec.\n",
- " width = entry.contentBoxSize.inlineSize;\n",
- " height = entry.contentBoxSize.blockSize;\n",
- " }\n",
- " } else {\n",
- " // Chrome <84 implements even older version of spec.\n",
- " width = entry.contentRect.width;\n",
- " height = entry.contentRect.height;\n",
- " }\n",
- "\n",
- " // Keep the size of the canvas and rubber band canvas in sync with\n",
- " // the canvas container.\n",
- " if (entry.devicePixelContentBoxSize) {\n",
- " // Chrome 84 implements new version of spec.\n",
- " canvas.setAttribute(\n",
- " 'width',\n",
- " entry.devicePixelContentBoxSize[0].inlineSize\n",
- " );\n",
- " canvas.setAttribute(\n",
- " 'height',\n",
- " entry.devicePixelContentBoxSize[0].blockSize\n",
- " );\n",
- " } else {\n",
- " canvas.setAttribute('width', width * fig.ratio);\n",
- " canvas.setAttribute('height', height * fig.ratio);\n",
- " }\n",
- " canvas.setAttribute(\n",
- " 'style',\n",
- " 'width: ' + width + 'px; height: ' + height + 'px;'\n",
- " );\n",
- "\n",
- " rubberband_canvas.setAttribute('width', width);\n",
- " rubberband_canvas.setAttribute('height', height);\n",
- "\n",
- " // And update the size in Python. We ignore the initial 0/0 size\n",
- " // that occurs as the element is placed into the DOM, which should\n",
- " // otherwise not happen due to the minimum size styling.\n",
- " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
- " fig.request_resize(width, height);\n",
- " }\n",
- " }\n",
- " });\n",
- " this.resizeObserverInstance.observe(canvas_div);\n",
- "\n",
- " function on_mouse_event_closure(name) {\n",
- " return function (event) {\n",
- " return fig.mouse_event(event, name);\n",
- " };\n",
- " }\n",
- "\n",
- " rubberband_canvas.addEventListener(\n",
- " 'mousedown',\n",
- " on_mouse_event_closure('button_press')\n",
- " );\n",
- " rubberband_canvas.addEventListener(\n",
- " 'mouseup',\n",
- " on_mouse_event_closure('button_release')\n",
- " );\n",
- " rubberband_canvas.addEventListener(\n",
- " 'dblclick',\n",
- " on_mouse_event_closure('dblclick')\n",
- " );\n",
- " // Throttle sequential mouse events to 1 every 20ms.\n",
- " rubberband_canvas.addEventListener(\n",
- " 'mousemove',\n",
- " on_mouse_event_closure('motion_notify')\n",
- " );\n",
- "\n",
- " rubberband_canvas.addEventListener(\n",
- " 'mouseenter',\n",
- " on_mouse_event_closure('figure_enter')\n",
- " );\n",
- " rubberband_canvas.addEventListener(\n",
- " 'mouseleave',\n",
- " on_mouse_event_closure('figure_leave')\n",
- " );\n",
- "\n",
- " canvas_div.addEventListener('wheel', function (event) {\n",
- " if (event.deltaY < 0) {\n",
- " event.step = 1;\n",
- " } else {\n",
- " event.step = -1;\n",
- " }\n",
- " on_mouse_event_closure('scroll')(event);\n",
- " });\n",
- "\n",
- " canvas_div.appendChild(canvas);\n",
- " canvas_div.appendChild(rubberband_canvas);\n",
- "\n",
- " this.rubberband_context = rubberband_canvas.getContext('2d');\n",
- " this.rubberband_context.strokeStyle = '#000000';\n",
- "\n",
- " this._resize_canvas = function (width, height, forward) {\n",
- " if (forward) {\n",
- " canvas_div.style.width = width + 'px';\n",
- " canvas_div.style.height = height + 'px';\n",
- " }\n",
- " };\n",
- "\n",
- " // Disable right mouse context menu.\n",
- " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
- " event.preventDefault();\n",
- " return false;\n",
- " });\n",
- "\n",
- " function set_focus() {\n",
- " canvas.focus();\n",
- " canvas_div.focus();\n",
- " }\n",
- "\n",
- " window.setTimeout(set_focus, 100);\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._init_toolbar = function () {\n",
- " var fig = this;\n",
- "\n",
- " var toolbar = document.createElement('div');\n",
- " toolbar.classList = 'mpl-toolbar';\n",
- " this.root.appendChild(toolbar);\n",
- "\n",
- " function on_click_closure(name) {\n",
- " return function (_event) {\n",
- " return fig.toolbar_button_onclick(name);\n",
- " };\n",
- " }\n",
- "\n",
- " function on_mouseover_closure(tooltip) {\n",
- " return function (event) {\n",
- " if (!event.currentTarget.disabled) {\n",
- " return fig.toolbar_button_onmouseover(tooltip);\n",
- " }\n",
- " };\n",
- " }\n",
- "\n",
- " fig.buttons = {};\n",
- " var buttonGroup = document.createElement('div');\n",
- " buttonGroup.classList = 'mpl-button-group';\n",
- " for (var toolbar_ind in mpl.toolbar_items) {\n",
- " var name = mpl.toolbar_items[toolbar_ind][0];\n",
- " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
- " var image = mpl.toolbar_items[toolbar_ind][2];\n",
- " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
- "\n",
- " if (!name) {\n",
- " /* Instead of a spacer, we start a new button group. */\n",
- " if (buttonGroup.hasChildNodes()) {\n",
- " toolbar.appendChild(buttonGroup);\n",
- " }\n",
- " buttonGroup = document.createElement('div');\n",
- " buttonGroup.classList = 'mpl-button-group';\n",
- " continue;\n",
- " }\n",
- "\n",
- " var button = (fig.buttons[name] = document.createElement('button'));\n",
- " button.classList = 'mpl-widget';\n",
- " button.setAttribute('role', 'button');\n",
- " button.setAttribute('aria-disabled', 'false');\n",
- " button.addEventListener('click', on_click_closure(method_name));\n",
- " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
- "\n",
- " var icon_img = document.createElement('img');\n",
- " icon_img.src = '_images/' + image + '.png';\n",
- " icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
- " icon_img.alt = tooltip;\n",
- " button.appendChild(icon_img);\n",
- "\n",
- " buttonGroup.appendChild(button);\n",
- " }\n",
- "\n",
- " if (buttonGroup.hasChildNodes()) {\n",
- " toolbar.appendChild(buttonGroup);\n",
- " }\n",
- "\n",
- " var fmt_picker = document.createElement('select');\n",
- " fmt_picker.classList = 'mpl-widget';\n",
- " toolbar.appendChild(fmt_picker);\n",
- " this.format_dropdown = fmt_picker;\n",
- "\n",
- " for (var ind in mpl.extensions) {\n",
- " var fmt = mpl.extensions[ind];\n",
- " var option = document.createElement('option');\n",
- " option.selected = fmt === mpl.default_extension;\n",
- " option.innerHTML = fmt;\n",
- " fmt_picker.appendChild(option);\n",
- " }\n",
- "\n",
- " var status_bar = document.createElement('span');\n",
- " status_bar.classList = 'mpl-message';\n",
- " toolbar.appendChild(status_bar);\n",
- " this.message = status_bar;\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
- " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
- " // which will in turn request a refresh of the image.\n",
- " this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.send_message = function (type, properties) {\n",
- " properties['type'] = type;\n",
- " properties['figure_id'] = this.id;\n",
- " this.ws.send(JSON.stringify(properties));\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.send_draw_message = function () {\n",
- " if (!this.waiting) {\n",
- " this.waiting = true;\n",
- " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
- " var format_dropdown = fig.format_dropdown;\n",
- " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
- " fig.ondownload(fig, format);\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
- " var size = msg['size'];\n",
- " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
- " fig._resize_canvas(size[0], size[1], msg['forward']);\n",
- " fig.send_message('refresh', {});\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
- " var x0 = msg['x0'] / fig.ratio;\n",
- " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
- " var x1 = msg['x1'] / fig.ratio;\n",
- " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
- " x0 = Math.floor(x0) + 0.5;\n",
- " y0 = Math.floor(y0) + 0.5;\n",
- " x1 = Math.floor(x1) + 0.5;\n",
- " y1 = Math.floor(y1) + 0.5;\n",
- " var min_x = Math.min(x0, x1);\n",
- " var min_y = Math.min(y0, y1);\n",
- " var width = Math.abs(x1 - x0);\n",
- " var height = Math.abs(y1 - y0);\n",
- "\n",
- " fig.rubberband_context.clearRect(\n",
- " 0,\n",
- " 0,\n",
- " fig.canvas.width / fig.ratio,\n",
- " fig.canvas.height / fig.ratio\n",
- " );\n",
- "\n",
- " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
- " // Updates the figure title.\n",
- " fig.header.textContent = msg['label'];\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
- " fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
- " fig.message.textContent = msg['message'];\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
- " // Request the server to send over a new figure.\n",
- " fig.send_draw_message();\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
- " fig.image_mode = msg['mode'];\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
- " for (var key in msg) {\n",
- " if (!(key in fig.buttons)) {\n",
- " continue;\n",
- " }\n",
- " fig.buttons[key].disabled = !msg[key];\n",
- " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
- " if (msg['mode'] === 'PAN') {\n",
- " fig.buttons['Pan'].classList.add('active');\n",
- " fig.buttons['Zoom'].classList.remove('active');\n",
- " } else if (msg['mode'] === 'ZOOM') {\n",
- " fig.buttons['Pan'].classList.remove('active');\n",
- " fig.buttons['Zoom'].classList.add('active');\n",
- " } else {\n",
- " fig.buttons['Pan'].classList.remove('active');\n",
- " fig.buttons['Zoom'].classList.remove('active');\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.updated_canvas_event = function () {\n",
- " // Called whenever the canvas gets updated.\n",
- " this.send_message('ack', {});\n",
- "};\n",
- "\n",
- "// A function to construct a web socket function for onmessage handling.\n",
- "// Called in the figure constructor.\n",
- "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
- " return function socket_on_message(evt) {\n",
- " if (evt.data instanceof Blob) {\n",
- " var img = evt.data;\n",
- " if (img.type !== 'image/png') {\n",
- " /* FIXME: We get \"Resource interpreted as Image but\n",
- " * transferred with MIME type text/plain:\" errors on\n",
- " * Chrome. But how to set the MIME type? It doesn't seem\n",
- " * to be part of the websocket stream */\n",
- " img.type = 'image/png';\n",
- " }\n",
- "\n",
- " /* Free the memory for the previous frames */\n",
- " if (fig.imageObj.src) {\n",
- " (window.URL || window.webkitURL).revokeObjectURL(\n",
- " fig.imageObj.src\n",
- " );\n",
- " }\n",
- "\n",
- " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
- " img\n",
- " );\n",
- " fig.updated_canvas_event();\n",
- " fig.waiting = false;\n",
- " return;\n",
- " } else if (\n",
- " typeof evt.data === 'string' &&\n",
- " evt.data.slice(0, 21) === 'data:image/png;base64'\n",
- " ) {\n",
- " fig.imageObj.src = evt.data;\n",
- " fig.updated_canvas_event();\n",
- " fig.waiting = false;\n",
- " return;\n",
- " }\n",
- "\n",
- " var msg = JSON.parse(evt.data);\n",
- " var msg_type = msg['type'];\n",
- "\n",
- " // Call the \"handle_{type}\" callback, which takes\n",
- " // the figure and JSON message as its only arguments.\n",
- " try {\n",
- " var callback = fig['handle_' + msg_type];\n",
- " } catch (e) {\n",
- " console.log(\n",
- " \"No handler for the '\" + msg_type + \"' message type: \",\n",
- " msg\n",
- " );\n",
- " return;\n",
- " }\n",
- "\n",
- " if (callback) {\n",
- " try {\n",
- " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
- " callback(fig, msg);\n",
- " } catch (e) {\n",
- " console.log(\n",
- " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
- " e,\n",
- " e.stack,\n",
- " msg\n",
- " );\n",
- " }\n",
- " }\n",
- " };\n",
- "};\n",
- "\n",
- "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
- "mpl.findpos = function (e) {\n",
- " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
- " var targ;\n",
- " if (!e) {\n",
- " e = window.event;\n",
- " }\n",
- " if (e.target) {\n",
- " targ = e.target;\n",
- " } else if (e.srcElement) {\n",
- " targ = e.srcElement;\n",
- " }\n",
- " if (targ.nodeType === 3) {\n",
- " // defeat Safari bug\n",
- " targ = targ.parentNode;\n",
- " }\n",
- "\n",
- " // pageX,Y are the mouse positions relative to the document\n",
- " var boundingRect = targ.getBoundingClientRect();\n",
- " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
- " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
- "\n",
- " return { x: x, y: y };\n",
- "};\n",
- "\n",
- "/*\n",
- " * return a copy of an object with only non-object keys\n",
- " * we need this to avoid circular references\n",
- " * https://stackoverflow.com/a/24161582/3208463\n",
- " */\n",
- "function simpleKeys(original) {\n",
- " return Object.keys(original).reduce(function (obj, key) {\n",
- " if (typeof original[key] !== 'object') {\n",
- " obj[key] = original[key];\n",
- " }\n",
- " return obj;\n",
- " }, {});\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.mouse_event = function (event, name) {\n",
- " var canvas_pos = mpl.findpos(event);\n",
- "\n",
- " if (name === 'button_press') {\n",
- " this.canvas.focus();\n",
- " this.canvas_div.focus();\n",
- " }\n",
- "\n",
- " var x = canvas_pos.x * this.ratio;\n",
- " var y = canvas_pos.y * this.ratio;\n",
- "\n",
- " this.send_message(name, {\n",
- " x: x,\n",
- " y: y,\n",
- " button: event.button,\n",
- " step: event.step,\n",
- " guiEvent: simpleKeys(event),\n",
- " });\n",
- "\n",
- " /* This prevents the web browser from automatically changing to\n",
- " * the text insertion cursor when the button is pressed. We want\n",
- " * to control all of the cursor setting manually through the\n",
- " * 'cursor' event from matplotlib */\n",
- " event.preventDefault();\n",
- " return false;\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
- " // Handle any extra behaviour associated with a key event\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.key_event = function (event, name) {\n",
- " // Prevent repeat events\n",
- " if (name === 'key_press') {\n",
- " if (event.key === this._key) {\n",
- " return;\n",
- " } else {\n",
- " this._key = event.key;\n",
- " }\n",
- " }\n",
- " if (name === 'key_release') {\n",
- " this._key = null;\n",
- " }\n",
- "\n",
- " var value = '';\n",
- " if (event.ctrlKey && event.key !== 'Control') {\n",
- " value += 'ctrl+';\n",
- " }\n",
- " else if (event.altKey && event.key !== 'Alt') {\n",
- " value += 'alt+';\n",
- " }\n",
- " else if (event.shiftKey && event.key !== 'Shift') {\n",
- " value += 'shift+';\n",
- " }\n",
- "\n",
- " value += 'k' + event.key;\n",
- "\n",
- " this._key_event_extra(event, name);\n",
- "\n",
- " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
- " return false;\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
- " if (name === 'download') {\n",
- " this.handle_save(this, null);\n",
- " } else {\n",
- " this.send_message('toolbar_button', { name: name });\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
- " this.message.textContent = tooltip;\n",
- "};\n",
- "\n",
- "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
- "// prettier-ignore\n",
- "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
- "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
- "\n",
- "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
- "\n",
- "mpl.default_extension = \"png\";/* global mpl */\n",
- "\n",
- "var comm_websocket_adapter = function (comm) {\n",
- " // Create a \"websocket\"-like object which calls the given IPython comm\n",
- " // object with the appropriate methods. Currently this is a non binary\n",
- " // socket, so there is still some room for performance tuning.\n",
- " var ws = {};\n",
- "\n",
- " ws.binaryType = comm.kernel.ws.binaryType;\n",
- " ws.readyState = comm.kernel.ws.readyState;\n",
- " function updateReadyState(_event) {\n",
- " if (comm.kernel.ws) {\n",
- " ws.readyState = comm.kernel.ws.readyState;\n",
- " } else {\n",
- " ws.readyState = 3; // Closed state.\n",
- " }\n",
- " }\n",
- " comm.kernel.ws.addEventListener('open', updateReadyState);\n",
- " comm.kernel.ws.addEventListener('close', updateReadyState);\n",
- " comm.kernel.ws.addEventListener('error', updateReadyState);\n",
- "\n",
- " ws.close = function () {\n",
- " comm.close();\n",
- " };\n",
- " ws.send = function (m) {\n",
- " //console.log('sending', m);\n",
- " comm.send(m);\n",
- " };\n",
- " // Register the callback with on_msg.\n",
- " comm.on_msg(function (msg) {\n",
- " //console.log('receiving', msg['content']['data'], msg);\n",
- " var data = msg['content']['data'];\n",
- " if (data['blob'] !== undefined) {\n",
- " data = {\n",
- " data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
- " };\n",
- " }\n",
- " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
- " ws.onmessage(data);\n",
- " });\n",
- " return ws;\n",
- "};\n",
- "\n",
- "mpl.mpl_figure_comm = function (comm, msg) {\n",
- " // This is the function which gets called when the mpl process\n",
- " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
- "\n",
- " var id = msg.content.data.id;\n",
- " // Get hold of the div created by the display call when the Comm\n",
- " // socket was opened in Python.\n",
- " var element = document.getElementById(id);\n",
- " var ws_proxy = comm_websocket_adapter(comm);\n",
- "\n",
- " function ondownload(figure, _format) {\n",
- " window.open(figure.canvas.toDataURL());\n",
- " }\n",
- "\n",
- " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
- "\n",
- " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
- " // web socket which is closed, not our websocket->open comm proxy.\n",
- " ws_proxy.onopen();\n",
- "\n",
- " fig.parent_element = element;\n",
- " fig.cell_info = mpl.find_output_cell(\"
\");\n",
- " if (!fig.cell_info) {\n",
- " console.error('Failed to find cell for figure', id, fig);\n",
- " return;\n",
- " }\n",
- " fig.cell_info[0].output_area.element.on(\n",
- " 'cleared',\n",
- " { fig: fig },\n",
- " fig._remove_fig_handler\n",
- " );\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
- " var width = fig.canvas.width / fig.ratio;\n",
- " fig.cell_info[0].output_area.element.off(\n",
- " 'cleared',\n",
- " fig._remove_fig_handler\n",
- " );\n",
- " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
- "\n",
- " // Update the output cell to use the data from the current canvas.\n",
- " fig.push_to_output();\n",
- " var dataURL = fig.canvas.toDataURL();\n",
- " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
- " // the notebook keyboard shortcuts fail.\n",
- " IPython.keyboard_manager.enable();\n",
- " fig.parent_element.innerHTML =\n",
- " ' ';\n",
- " fig.close_ws(fig, msg);\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
- " fig.send_message('closing', msg);\n",
- " // fig.ws.close()\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
- " // Turn the data on the canvas into data in the output cell.\n",
- " var width = this.canvas.width / this.ratio;\n",
- " var dataURL = this.canvas.toDataURL();\n",
- " this.cell_info[1]['text/html'] =\n",
- " ' ';\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.updated_canvas_event = function () {\n",
- " // Tell IPython that the notebook contents must change.\n",
- " IPython.notebook.set_dirty(true);\n",
- " this.send_message('ack', {});\n",
- " var fig = this;\n",
- " // Wait a second, then push the new image to the DOM so\n",
- " // that it is saved nicely (might be nice to debounce this).\n",
- " setTimeout(function () {\n",
- " fig.push_to_output();\n",
- " }, 1000);\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._init_toolbar = function () {\n",
- " var fig = this;\n",
- "\n",
- " var toolbar = document.createElement('div');\n",
- " toolbar.classList = 'btn-toolbar';\n",
- " this.root.appendChild(toolbar);\n",
- "\n",
- " function on_click_closure(name) {\n",
- " return function (_event) {\n",
- " return fig.toolbar_button_onclick(name);\n",
- " };\n",
- " }\n",
- "\n",
- " function on_mouseover_closure(tooltip) {\n",
- " return function (event) {\n",
- " if (!event.currentTarget.disabled) {\n",
- " return fig.toolbar_button_onmouseover(tooltip);\n",
- " }\n",
- " };\n",
- " }\n",
- "\n",
- " fig.buttons = {};\n",
- " var buttonGroup = document.createElement('div');\n",
- " buttonGroup.classList = 'btn-group';\n",
- " var button;\n",
- " for (var toolbar_ind in mpl.toolbar_items) {\n",
- " var name = mpl.toolbar_items[toolbar_ind][0];\n",
- " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
- " var image = mpl.toolbar_items[toolbar_ind][2];\n",
- " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
- "\n",
- " if (!name) {\n",
- " /* Instead of a spacer, we start a new button group. */\n",
- " if (buttonGroup.hasChildNodes()) {\n",
- " toolbar.appendChild(buttonGroup);\n",
- " }\n",
- " buttonGroup = document.createElement('div');\n",
- " buttonGroup.classList = 'btn-group';\n",
- " continue;\n",
- " }\n",
- "\n",
- " button = fig.buttons[name] = document.createElement('button');\n",
- " button.classList = 'btn btn-default';\n",
- " button.href = '#';\n",
- " button.title = name;\n",
- " button.innerHTML = ' ';\n",
- " button.addEventListener('click', on_click_closure(method_name));\n",
- " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
- " buttonGroup.appendChild(button);\n",
- " }\n",
- "\n",
- " if (buttonGroup.hasChildNodes()) {\n",
- " toolbar.appendChild(buttonGroup);\n",
- " }\n",
- "\n",
- " // Add the status bar.\n",
- " var status_bar = document.createElement('span');\n",
- " status_bar.classList = 'mpl-message pull-right';\n",
- " toolbar.appendChild(status_bar);\n",
- " this.message = status_bar;\n",
- "\n",
- " // Add the close button to the window.\n",
- " var buttongrp = document.createElement('div');\n",
- " buttongrp.classList = 'btn-group inline pull-right';\n",
- " button = document.createElement('button');\n",
- " button.classList = 'btn btn-mini btn-primary';\n",
- " button.href = '#';\n",
- " button.title = 'Stop Interaction';\n",
- " button.innerHTML = ' ';\n",
- " button.addEventListener('click', function (_evt) {\n",
- " fig.handle_close(fig, {});\n",
- " });\n",
- " button.addEventListener(\n",
- " 'mouseover',\n",
- " on_mouseover_closure('Stop Interaction')\n",
- " );\n",
- " buttongrp.appendChild(button);\n",
- " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
- " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
- " var fig = event.data.fig;\n",
- " if (event.target !== this) {\n",
- " // Ignore bubbled events from children.\n",
- " return;\n",
- " }\n",
- " fig.close_ws(fig, {});\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function (el) {\n",
- " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
- " // this is important to make the div 'focusable\n",
- " el.setAttribute('tabindex', 0);\n",
- " // reach out to IPython and tell the keyboard manager to turn it's self\n",
- " // off when our div gets focus\n",
- "\n",
- " // location in version 3\n",
- " if (IPython.notebook.keyboard_manager) {\n",
- " IPython.notebook.keyboard_manager.register_events(el);\n",
- " } else {\n",
- " // location in version 2\n",
- " IPython.keyboard_manager.register_events(el);\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
- " // Check for shift+enter\n",
- " if (event.shiftKey && event.which === 13) {\n",
- " this.canvas_div.blur();\n",
- " // select the cell after this one\n",
- " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
- " IPython.notebook.select(index + 1);\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
- " fig.ondownload(fig, null);\n",
- "};\n",
- "\n",
- "mpl.find_output_cell = function (html_output) {\n",
- " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
- " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
- " // IPython event is triggered only after the cells have been serialised, which for\n",
- " // our purposes (turning an active figure into a static one), is too late.\n",
- " var cells = IPython.notebook.get_cells();\n",
- " var ncells = cells.length;\n",
- " for (var i = 0; i < ncells; i++) {\n",
- " var cell = cells[i];\n",
- " if (cell.cell_type === 'code') {\n",
- " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
- " var data = cell.output_area.outputs[j];\n",
- " if (data.data) {\n",
- " // IPython >= 3 moved mimebundle to data attribute of output\n",
- " data = data.data;\n",
- " }\n",
- " if (data['text/html'] === html_output) {\n",
- " return [cell, data, j];\n",
- " }\n",
- " }\n",
- " }\n",
- " }\n",
- "};\n",
- "\n",
- "// Register the function which deals with the matplotlib target/channel.\n",
- "// The kernel may be null if the page has been refreshed.\n",
- "if (IPython.notebook.kernel !== null) {\n",
- " IPython.notebook.kernel.comm_manager.register_target(\n",
- " 'matplotlib',\n",
- " mpl.mpl_figure_comm\n",
- " );\n",
- "}\n"
- ],
+ "application/javascript": "/* Put everything inside the global mpl namespace */\n/* global mpl */\nwindow.mpl = {};\n\nmpl.get_websocket_type = function () {\n if (typeof WebSocket !== 'undefined') {\n return WebSocket;\n } else if (typeof MozWebSocket !== 'undefined') {\n return MozWebSocket;\n } else {\n alert(\n 'Your browser does not have WebSocket support. ' +\n 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n 'Firefox 4 and 5 are also supported but you ' +\n 'have to enable WebSockets in about:config.'\n );\n }\n};\n\nmpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n this.id = figure_id;\n\n this.ws = websocket;\n\n this.supports_binary = this.ws.binaryType !== undefined;\n\n if (!this.supports_binary) {\n var warnings = document.getElementById('mpl-warnings');\n if (warnings) {\n warnings.style.display = 'block';\n warnings.textContent =\n 'This browser does not support binary websocket messages. ' +\n 'Performance may be slow.';\n }\n }\n\n this.imageObj = new Image();\n\n this.context = undefined;\n this.message = undefined;\n this.canvas = undefined;\n this.rubberband_canvas = undefined;\n this.rubberband_context = undefined;\n this.format_dropdown = undefined;\n\n this.image_mode = 'full';\n\n this.root = document.createElement('div');\n this.root.setAttribute('style', 'display: inline-block');\n this._root_extra_style(this.root);\n\n parent_element.appendChild(this.root);\n\n this._init_header(this);\n this._init_canvas(this);\n this._init_toolbar(this);\n\n var fig = this;\n\n this.waiting = false;\n\n this.ws.onopen = function () {\n fig.send_message('supports_binary', { value: fig.supports_binary });\n fig.send_message('send_image_mode', {});\n if (fig.ratio !== 1) {\n fig.send_message('set_device_pixel_ratio', {\n device_pixel_ratio: fig.ratio,\n });\n }\n fig.send_message('refresh', {});\n };\n\n this.imageObj.onload = function () {\n if (fig.image_mode === 'full') {\n // Full images could contain transparency (where diff images\n // almost always do), so we need to clear the canvas so that\n // there is no ghosting.\n fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n }\n fig.context.drawImage(fig.imageObj, 0, 0);\n };\n\n this.imageObj.onunload = function () {\n fig.ws.close();\n };\n\n this.ws.onmessage = this._make_on_message_function(this);\n\n this.ondownload = ondownload;\n};\n\nmpl.figure.prototype._init_header = function () {\n var titlebar = document.createElement('div');\n titlebar.classList =\n 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n var titletext = document.createElement('div');\n titletext.classList = 'ui-dialog-title';\n titletext.setAttribute(\n 'style',\n 'width: 100%; text-align: center; padding: 3px;'\n );\n titlebar.appendChild(titletext);\n this.root.appendChild(titlebar);\n this.header = titletext;\n};\n\nmpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n\nmpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n\nmpl.figure.prototype._init_canvas = function () {\n var fig = this;\n\n var canvas_div = (this.canvas_div = document.createElement('div'));\n canvas_div.setAttribute('tabindex', '0');\n canvas_div.setAttribute(\n 'style',\n 'border: 1px solid #ddd;' +\n 'box-sizing: content-box;' +\n 'clear: both;' +\n 'min-height: 1px;' +\n 'min-width: 1px;' +\n 'outline: 0;' +\n 'overflow: hidden;' +\n 'position: relative;' +\n 'resize: both;' +\n 'z-index: 2;'\n );\n\n function on_keyboard_event_closure(name) {\n return function (event) {\n return fig.key_event(event, name);\n };\n }\n\n canvas_div.addEventListener(\n 'keydown',\n on_keyboard_event_closure('key_press')\n );\n canvas_div.addEventListener(\n 'keyup',\n on_keyboard_event_closure('key_release')\n );\n\n this._canvas_extra_style(canvas_div);\n this.root.appendChild(canvas_div);\n\n var canvas = (this.canvas = document.createElement('canvas'));\n canvas.classList.add('mpl-canvas');\n canvas.setAttribute(\n 'style',\n 'box-sizing: content-box;' +\n 'pointer-events: none;' +\n 'position: relative;' +\n 'z-index: 0;'\n );\n\n this.context = canvas.getContext('2d');\n\n var backingStore =\n this.context.backingStorePixelRatio ||\n this.context.webkitBackingStorePixelRatio ||\n this.context.mozBackingStorePixelRatio ||\n this.context.msBackingStorePixelRatio ||\n this.context.oBackingStorePixelRatio ||\n this.context.backingStorePixelRatio ||\n 1;\n\n this.ratio = (window.devicePixelRatio || 1) / backingStore;\n\n var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n 'canvas'\n ));\n rubberband_canvas.setAttribute(\n 'style',\n 'box-sizing: content-box;' +\n 'left: 0;' +\n 'pointer-events: none;' +\n 'position: absolute;' +\n 'top: 0;' +\n 'z-index: 1;'\n );\n\n // Apply a ponyfill if ResizeObserver is not implemented by browser.\n if (this.ResizeObserver === undefined) {\n if (window.ResizeObserver !== undefined) {\n this.ResizeObserver = window.ResizeObserver;\n } else {\n var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n this.ResizeObserver = obs.ResizeObserver;\n }\n }\n\n this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n // There's no need to resize if the WebSocket is not connected:\n // - If it is still connecting, then we will get an initial resize from\n // Python once it connects.\n // - If it has disconnected, then resizing will clear the canvas and\n // never get anything back to refill it, so better to not resize and\n // keep something visible.\n if (fig.ws.readyState != 1) {\n return;\n }\n var nentries = entries.length;\n for (var i = 0; i < nentries; i++) {\n var entry = entries[i];\n var width, height;\n if (entry.contentBoxSize) {\n if (entry.contentBoxSize instanceof Array) {\n // Chrome 84 implements new version of spec.\n width = entry.contentBoxSize[0].inlineSize;\n height = entry.contentBoxSize[0].blockSize;\n } else {\n // Firefox implements old version of spec.\n width = entry.contentBoxSize.inlineSize;\n height = entry.contentBoxSize.blockSize;\n }\n } else {\n // Chrome <84 implements even older version of spec.\n width = entry.contentRect.width;\n height = entry.contentRect.height;\n }\n\n // Keep the size of the canvas and rubber band canvas in sync with\n // the canvas container.\n if (entry.devicePixelContentBoxSize) {\n // Chrome 84 implements new version of spec.\n canvas.setAttribute(\n 'width',\n entry.devicePixelContentBoxSize[0].inlineSize\n );\n canvas.setAttribute(\n 'height',\n entry.devicePixelContentBoxSize[0].blockSize\n );\n } else {\n canvas.setAttribute('width', width * fig.ratio);\n canvas.setAttribute('height', height * fig.ratio);\n }\n /* This rescales the canvas back to display pixels, so that it\n * appears correct on HiDPI screens. */\n canvas.style.width = width + 'px';\n canvas.style.height = height + 'px';\n\n rubberband_canvas.setAttribute('width', width);\n rubberband_canvas.setAttribute('height', height);\n\n // And update the size in Python. We ignore the initial 0/0 size\n // that occurs as the element is placed into the DOM, which should\n // otherwise not happen due to the minimum size styling.\n if (width != 0 && height != 0) {\n fig.request_resize(width, height);\n }\n }\n });\n this.resizeObserverInstance.observe(canvas_div);\n\n function on_mouse_event_closure(name) {\n /* User Agent sniffing is bad, but WebKit is busted:\n * https://bugs.webkit.org/show_bug.cgi?id=144526\n * https://bugs.webkit.org/show_bug.cgi?id=181818\n * The worst that happens here is that they get an extra browser\n * selection when dragging, if this check fails to catch them.\n */\n var UA = navigator.userAgent;\n var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n if(isWebKit) {\n return function (event) {\n /* This prevents the web browser from automatically changing to\n * the text insertion cursor when the button is pressed. We\n * want to control all of the cursor setting manually through\n * the 'cursor' event from matplotlib */\n event.preventDefault()\n return fig.mouse_event(event, name);\n };\n } else {\n return function (event) {\n return fig.mouse_event(event, name);\n };\n }\n }\n\n canvas_div.addEventListener(\n 'mousedown',\n on_mouse_event_closure('button_press')\n );\n canvas_div.addEventListener(\n 'mouseup',\n on_mouse_event_closure('button_release')\n );\n canvas_div.addEventListener(\n 'dblclick',\n on_mouse_event_closure('dblclick')\n );\n // Throttle sequential mouse events to 1 every 20ms.\n canvas_div.addEventListener(\n 'mousemove',\n on_mouse_event_closure('motion_notify')\n );\n\n canvas_div.addEventListener(\n 'mouseenter',\n on_mouse_event_closure('figure_enter')\n );\n canvas_div.addEventListener(\n 'mouseleave',\n on_mouse_event_closure('figure_leave')\n );\n\n canvas_div.addEventListener('wheel', function (event) {\n if (event.deltaY < 0) {\n event.step = 1;\n } else {\n event.step = -1;\n }\n on_mouse_event_closure('scroll')(event);\n });\n\n canvas_div.appendChild(canvas);\n canvas_div.appendChild(rubberband_canvas);\n\n this.rubberband_context = rubberband_canvas.getContext('2d');\n this.rubberband_context.strokeStyle = '#000000';\n\n this._resize_canvas = function (width, height, forward) {\n if (forward) {\n canvas_div.style.width = width + 'px';\n canvas_div.style.height = height + 'px';\n }\n };\n\n // Disable right mouse context menu.\n canvas_div.addEventListener('contextmenu', function (_e) {\n event.preventDefault();\n return false;\n });\n\n function set_focus() {\n canvas.focus();\n canvas_div.focus();\n }\n\n window.setTimeout(set_focus, 100);\n};\n\nmpl.figure.prototype._init_toolbar = function () {\n var fig = this;\n\n var toolbar = document.createElement('div');\n toolbar.classList = 'mpl-toolbar';\n this.root.appendChild(toolbar);\n\n function on_click_closure(name) {\n return function (_event) {\n return fig.toolbar_button_onclick(name);\n };\n }\n\n function on_mouseover_closure(tooltip) {\n return function (event) {\n if (!event.currentTarget.disabled) {\n return fig.toolbar_button_onmouseover(tooltip);\n }\n };\n }\n\n fig.buttons = {};\n var buttonGroup = document.createElement('div');\n buttonGroup.classList = 'mpl-button-group';\n for (var toolbar_ind in mpl.toolbar_items) {\n var name = mpl.toolbar_items[toolbar_ind][0];\n var tooltip = mpl.toolbar_items[toolbar_ind][1];\n var image = mpl.toolbar_items[toolbar_ind][2];\n var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n if (!name) {\n /* Instead of a spacer, we start a new button group. */\n if (buttonGroup.hasChildNodes()) {\n toolbar.appendChild(buttonGroup);\n }\n buttonGroup = document.createElement('div');\n buttonGroup.classList = 'mpl-button-group';\n continue;\n }\n\n var button = (fig.buttons[name] = document.createElement('button'));\n button.classList = 'mpl-widget';\n button.setAttribute('role', 'button');\n button.setAttribute('aria-disabled', 'false');\n button.addEventListener('click', on_click_closure(method_name));\n button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n\n var icon_img = document.createElement('img');\n icon_img.src = '_images/' + image + '.png';\n icon_img.srcset = '_images/' + image + '_large.png 2x';\n icon_img.alt = tooltip;\n button.appendChild(icon_img);\n\n buttonGroup.appendChild(button);\n }\n\n if (buttonGroup.hasChildNodes()) {\n toolbar.appendChild(buttonGroup);\n }\n\n var fmt_picker = document.createElement('select');\n fmt_picker.classList = 'mpl-widget';\n toolbar.appendChild(fmt_picker);\n this.format_dropdown = fmt_picker;\n\n for (var ind in mpl.extensions) {\n var fmt = mpl.extensions[ind];\n var option = document.createElement('option');\n option.selected = fmt === mpl.default_extension;\n option.innerHTML = fmt;\n fmt_picker.appendChild(option);\n }\n\n var status_bar = document.createElement('span');\n status_bar.classList = 'mpl-message';\n toolbar.appendChild(status_bar);\n this.message = status_bar;\n};\n\nmpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n // which will in turn request a refresh of the image.\n this.send_message('resize', { width: x_pixels, height: y_pixels });\n};\n\nmpl.figure.prototype.send_message = function (type, properties) {\n properties['type'] = type;\n properties['figure_id'] = this.id;\n this.ws.send(JSON.stringify(properties));\n};\n\nmpl.figure.prototype.send_draw_message = function () {\n if (!this.waiting) {\n this.waiting = true;\n this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n }\n};\n\nmpl.figure.prototype.handle_save = function (fig, _msg) {\n var format_dropdown = fig.format_dropdown;\n var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n fig.ondownload(fig, format);\n};\n\nmpl.figure.prototype.handle_resize = function (fig, msg) {\n var size = msg['size'];\n if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n fig._resize_canvas(size[0], size[1], msg['forward']);\n fig.send_message('refresh', {});\n }\n};\n\nmpl.figure.prototype.handle_rubberband = function (fig, msg) {\n var x0 = msg['x0'] / fig.ratio;\n var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n var x1 = msg['x1'] / fig.ratio;\n var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n x0 = Math.floor(x0) + 0.5;\n y0 = Math.floor(y0) + 0.5;\n x1 = Math.floor(x1) + 0.5;\n y1 = Math.floor(y1) + 0.5;\n var min_x = Math.min(x0, x1);\n var min_y = Math.min(y0, y1);\n var width = Math.abs(x1 - x0);\n var height = Math.abs(y1 - y0);\n\n fig.rubberband_context.clearRect(\n 0,\n 0,\n fig.canvas.width / fig.ratio,\n fig.canvas.height / fig.ratio\n );\n\n fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n};\n\nmpl.figure.prototype.handle_figure_label = function (fig, msg) {\n // Updates the figure title.\n fig.header.textContent = msg['label'];\n};\n\nmpl.figure.prototype.handle_cursor = function (fig, msg) {\n fig.canvas_div.style.cursor = msg['cursor'];\n};\n\nmpl.figure.prototype.handle_message = function (fig, msg) {\n fig.message.textContent = msg['message'];\n};\n\nmpl.figure.prototype.handle_draw = function (fig, _msg) {\n // Request the server to send over a new figure.\n fig.send_draw_message();\n};\n\nmpl.figure.prototype.handle_image_mode = function (fig, msg) {\n fig.image_mode = msg['mode'];\n};\n\nmpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n for (var key in msg) {\n if (!(key in fig.buttons)) {\n continue;\n }\n fig.buttons[key].disabled = !msg[key];\n fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n }\n};\n\nmpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n if (msg['mode'] === 'PAN') {\n fig.buttons['Pan'].classList.add('active');\n fig.buttons['Zoom'].classList.remove('active');\n } else if (msg['mode'] === 'ZOOM') {\n fig.buttons['Pan'].classList.remove('active');\n fig.buttons['Zoom'].classList.add('active');\n } else {\n fig.buttons['Pan'].classList.remove('active');\n fig.buttons['Zoom'].classList.remove('active');\n }\n};\n\nmpl.figure.prototype.updated_canvas_event = function () {\n // Called whenever the canvas gets updated.\n this.send_message('ack', {});\n};\n\n// A function to construct a web socket function for onmessage handling.\n// Called in the figure constructor.\nmpl.figure.prototype._make_on_message_function = function (fig) {\n return function socket_on_message(evt) {\n if (evt.data instanceof Blob) {\n var img = evt.data;\n if (img.type !== 'image/png') {\n /* FIXME: We get \"Resource interpreted as Image but\n * transferred with MIME type text/plain:\" errors on\n * Chrome. But how to set the MIME type? It doesn't seem\n * to be part of the websocket stream */\n img.type = 'image/png';\n }\n\n /* Free the memory for the previous frames */\n if (fig.imageObj.src) {\n (window.URL || window.webkitURL).revokeObjectURL(\n fig.imageObj.src\n );\n }\n\n fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n img\n );\n fig.updated_canvas_event();\n fig.waiting = false;\n return;\n } else if (\n typeof evt.data === 'string' &&\n evt.data.slice(0, 21) === 'data:image/png;base64'\n ) {\n fig.imageObj.src = evt.data;\n fig.updated_canvas_event();\n fig.waiting = false;\n return;\n }\n\n var msg = JSON.parse(evt.data);\n var msg_type = msg['type'];\n\n // Call the \"handle_{type}\" callback, which takes\n // the figure and JSON message as its only arguments.\n try {\n var callback = fig['handle_' + msg_type];\n } catch (e) {\n console.log(\n \"No handler for the '\" + msg_type + \"' message type: \",\n msg\n );\n return;\n }\n\n if (callback) {\n try {\n // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n callback(fig, msg);\n } catch (e) {\n console.log(\n \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n e,\n e.stack,\n msg\n );\n }\n }\n };\n};\n\nfunction getModifiers(event) {\n var mods = [];\n if (event.ctrlKey) {\n mods.push('ctrl');\n }\n if (event.altKey) {\n mods.push('alt');\n }\n if (event.shiftKey) {\n mods.push('shift');\n }\n if (event.metaKey) {\n mods.push('meta');\n }\n return mods;\n}\n\n/*\n * return a copy of an object with only non-object keys\n * we need this to avoid circular references\n * https://stackoverflow.com/a/24161582/3208463\n */\nfunction simpleKeys(original) {\n return Object.keys(original).reduce(function (obj, key) {\n if (typeof original[key] !== 'object') {\n obj[key] = original[key];\n }\n return obj;\n }, {});\n}\n\nmpl.figure.prototype.mouse_event = function (event, name) {\n if (name === 'button_press') {\n this.canvas.focus();\n this.canvas_div.focus();\n }\n\n // from https://stackoverflow.com/q/1114465\n var boundingRect = this.canvas.getBoundingClientRect();\n var x = (event.clientX - boundingRect.left) * this.ratio;\n var y = (event.clientY - boundingRect.top) * this.ratio;\n\n this.send_message(name, {\n x: x,\n y: y,\n button: event.button,\n step: event.step,\n modifiers: getModifiers(event),\n guiEvent: simpleKeys(event),\n });\n\n return false;\n};\n\nmpl.figure.prototype._key_event_extra = function (_event, _name) {\n // Handle any extra behaviour associated with a key event\n};\n\nmpl.figure.prototype.key_event = function (event, name) {\n // Prevent repeat events\n if (name === 'key_press') {\n if (event.key === this._key) {\n return;\n } else {\n this._key = event.key;\n }\n }\n if (name === 'key_release') {\n this._key = null;\n }\n\n var value = '';\n if (event.ctrlKey && event.key !== 'Control') {\n value += 'ctrl+';\n }\n else if (event.altKey && event.key !== 'Alt') {\n value += 'alt+';\n }\n else if (event.shiftKey && event.key !== 'Shift') {\n value += 'shift+';\n }\n\n value += 'k' + event.key;\n\n this._key_event_extra(event, name);\n\n this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n return false;\n};\n\nmpl.figure.prototype.toolbar_button_onclick = function (name) {\n if (name === 'download') {\n this.handle_save(this, null);\n } else {\n this.send_message('toolbar_button', { name: name });\n }\n};\n\nmpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n this.message.textContent = tooltip;\n};\n\n///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n// prettier-ignore\nvar _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\nmpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n\nmpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n\nmpl.default_extension = \"png\";/* global mpl */\n\nvar comm_websocket_adapter = function (comm) {\n // Create a \"websocket\"-like object which calls the given IPython comm\n // object with the appropriate methods. Currently this is a non binary\n // socket, so there is still some room for performance tuning.\n var ws = {};\n\n ws.binaryType = comm.kernel.ws.binaryType;\n ws.readyState = comm.kernel.ws.readyState;\n function updateReadyState(_event) {\n if (comm.kernel.ws) {\n ws.readyState = comm.kernel.ws.readyState;\n } else {\n ws.readyState = 3; // Closed state.\n }\n }\n comm.kernel.ws.addEventListener('open', updateReadyState);\n comm.kernel.ws.addEventListener('close', updateReadyState);\n comm.kernel.ws.addEventListener('error', updateReadyState);\n\n ws.close = function () {\n comm.close();\n };\n ws.send = function (m) {\n //console.log('sending', m);\n comm.send(m);\n };\n // Register the callback with on_msg.\n comm.on_msg(function (msg) {\n //console.log('receiving', msg['content']['data'], msg);\n var data = msg['content']['data'];\n if (data['blob'] !== undefined) {\n data = {\n data: new Blob(msg['buffers'], { type: data['blob'] }),\n };\n }\n // Pass the mpl event to the overridden (by mpl) onmessage function.\n ws.onmessage(data);\n });\n return ws;\n};\n\nmpl.mpl_figure_comm = function (comm, msg) {\n // This is the function which gets called when the mpl process\n // starts-up an IPython Comm through the \"matplotlib\" channel.\n\n var id = msg.content.data.id;\n // Get hold of the div created by the display call when the Comm\n // socket was opened in Python.\n var element = document.getElementById(id);\n var ws_proxy = comm_websocket_adapter(comm);\n\n function ondownload(figure, _format) {\n window.open(figure.canvas.toDataURL());\n }\n\n var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n\n // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n // web socket which is closed, not our websocket->open comm proxy.\n ws_proxy.onopen();\n\n fig.parent_element = element;\n fig.cell_info = mpl.find_output_cell(\"
\");\n if (!fig.cell_info) {\n console.error('Failed to find cell for figure', id, fig);\n return;\n }\n fig.cell_info[0].output_area.element.on(\n 'cleared',\n { fig: fig },\n fig._remove_fig_handler\n );\n};\n\nmpl.figure.prototype.handle_close = function (fig, msg) {\n var width = fig.canvas.width / fig.ratio;\n fig.cell_info[0].output_area.element.off(\n 'cleared',\n fig._remove_fig_handler\n );\n fig.resizeObserverInstance.unobserve(fig.canvas_div);\n\n // Update the output cell to use the data from the current canvas.\n fig.push_to_output();\n var dataURL = fig.canvas.toDataURL();\n // Re-enable the keyboard manager in IPython - without this line, in FF,\n // the notebook keyboard shortcuts fail.\n IPython.keyboard_manager.enable();\n fig.parent_element.innerHTML =\n ' ';\n fig.close_ws(fig, msg);\n};\n\nmpl.figure.prototype.close_ws = function (fig, msg) {\n fig.send_message('closing', msg);\n // fig.ws.close()\n};\n\nmpl.figure.prototype.push_to_output = function (_remove_interactive) {\n // Turn the data on the canvas into data in the output cell.\n var width = this.canvas.width / this.ratio;\n var dataURL = this.canvas.toDataURL();\n this.cell_info[1]['text/html'] =\n ' ';\n};\n\nmpl.figure.prototype.updated_canvas_event = function () {\n // Tell IPython that the notebook contents must change.\n IPython.notebook.set_dirty(true);\n this.send_message('ack', {});\n var fig = this;\n // Wait a second, then push the new image to the DOM so\n // that it is saved nicely (might be nice to debounce this).\n setTimeout(function () {\n fig.push_to_output();\n }, 1000);\n};\n\nmpl.figure.prototype._init_toolbar = function () {\n var fig = this;\n\n var toolbar = document.createElement('div');\n toolbar.classList = 'btn-toolbar';\n this.root.appendChild(toolbar);\n\n function on_click_closure(name) {\n return function (_event) {\n return fig.toolbar_button_onclick(name);\n };\n }\n\n function on_mouseover_closure(tooltip) {\n return function (event) {\n if (!event.currentTarget.disabled) {\n return fig.toolbar_button_onmouseover(tooltip);\n }\n };\n }\n\n fig.buttons = {};\n var buttonGroup = document.createElement('div');\n buttonGroup.classList = 'btn-group';\n var button;\n for (var toolbar_ind in mpl.toolbar_items) {\n var name = mpl.toolbar_items[toolbar_ind][0];\n var tooltip = mpl.toolbar_items[toolbar_ind][1];\n var image = mpl.toolbar_items[toolbar_ind][2];\n var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n if (!name) {\n /* Instead of a spacer, we start a new button group. */\n if (buttonGroup.hasChildNodes()) {\n toolbar.appendChild(buttonGroup);\n }\n buttonGroup = document.createElement('div');\n buttonGroup.classList = 'btn-group';\n continue;\n }\n\n button = fig.buttons[name] = document.createElement('button');\n button.classList = 'btn btn-default';\n button.href = '#';\n button.title = name;\n button.innerHTML = ' ';\n button.addEventListener('click', on_click_closure(method_name));\n button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n buttonGroup.appendChild(button);\n }\n\n if (buttonGroup.hasChildNodes()) {\n toolbar.appendChild(buttonGroup);\n }\n\n // Add the status bar.\n var status_bar = document.createElement('span');\n status_bar.classList = 'mpl-message pull-right';\n toolbar.appendChild(status_bar);\n this.message = status_bar;\n\n // Add the close button to the window.\n var buttongrp = document.createElement('div');\n buttongrp.classList = 'btn-group inline pull-right';\n button = document.createElement('button');\n button.classList = 'btn btn-mini btn-primary';\n button.href = '#';\n button.title = 'Stop Interaction';\n button.innerHTML = ' ';\n button.addEventListener('click', function (_evt) {\n fig.handle_close(fig, {});\n });\n button.addEventListener(\n 'mouseover',\n on_mouseover_closure('Stop Interaction')\n );\n buttongrp.appendChild(button);\n var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n titlebar.insertBefore(buttongrp, titlebar.firstChild);\n};\n\nmpl.figure.prototype._remove_fig_handler = function (event) {\n var fig = event.data.fig;\n if (event.target !== this) {\n // Ignore bubbled events from children.\n return;\n }\n fig.close_ws(fig, {});\n};\n\nmpl.figure.prototype._root_extra_style = function (el) {\n el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n};\n\nmpl.figure.prototype._canvas_extra_style = function (el) {\n // this is important to make the div 'focusable\n el.setAttribute('tabindex', 0);\n // reach out to IPython and tell the keyboard manager to turn it's self\n // off when our div gets focus\n\n // location in version 3\n if (IPython.notebook.keyboard_manager) {\n IPython.notebook.keyboard_manager.register_events(el);\n } else {\n // location in version 2\n IPython.keyboard_manager.register_events(el);\n }\n};\n\nmpl.figure.prototype._key_event_extra = function (event, _name) {\n // Check for shift+enter\n if (event.shiftKey && event.which === 13) {\n this.canvas_div.blur();\n // select the cell after this one\n var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n IPython.notebook.select(index + 1);\n }\n};\n\nmpl.figure.prototype.handle_save = function (fig, _msg) {\n fig.ondownload(fig, null);\n};\n\nmpl.find_output_cell = function (html_output) {\n // Return the cell and output element which can be found *uniquely* in the notebook.\n // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n // IPython event is triggered only after the cells have been serialised, which for\n // our purposes (turning an active figure into a static one), is too late.\n var cells = IPython.notebook.get_cells();\n var ncells = cells.length;\n for (var i = 0; i < ncells; i++) {\n var cell = cells[i];\n if (cell.cell_type === 'code') {\n for (var j = 0; j < cell.output_area.outputs.length; j++) {\n var data = cell.output_area.outputs[j];\n if (data.data) {\n // IPython >= 3 moved mimebundle to data attribute of output\n data = data.data;\n }\n if (data['text/html'] === html_output) {\n return [cell, data, j];\n }\n }\n }\n }\n};\n\n// Register the function which deals with the matplotlib target/channel.\n// The kernel may be null if the page has been refreshed.\nif (IPython.notebook.kernel !== null) {\n IPython.notebook.kernel.comm_manager.register_target(\n 'matplotlib',\n mpl.mpl_figure_comm\n );\n}\n",
"text/plain": [
""
]
@@ -1820,7 +906,7 @@
{
"data": {
"text/html": [
- "
"
+ "
"
],
"text/plain": [
""
@@ -1903,14 +989,17 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "\n",
- "Dimensions: (time_index: 8748, frequency: 29, direction: 24)\n",
+ "hash params: (43.489171, -125.152137)_1993_None_True_True_True_None\n",
+ "Cache filename: 4da1f094b0d510aa7891e26e42324a95.pkl\n",
+ " Size: 24MB\n",
+ "Dimensions: (time_index: 8748, frequency: 29, direction: 24, gid: 1)\n",
"Coordinates:\n",
- " * time_index (time_index) object 725850000000000000 ... 757378800000000000\n",
- " * frequency (frequency) float64 0.035 0.0385 0.0424 ... 0.4173 0.4591 0.505\n",
- " * direction (direction) float64 7.5 22.5 37.5 52.5 ... 322.5 337.5 352.5\n",
+ " * time_index (time_index) datetime64[ns] 70kB 1993-01-01T01:00:00 .....\n",
+ " * frequency (frequency) float32 116B 0.035 0.0385 ... 0.4591 0.505\n",
+ " * direction (direction) float32 96B 7.5 22.5 37.5 ... 337.5 352.5\n",
+ " * gid (gid) int32 4B 58\n",
"Data variables:\n",
- " 58 (time_index, frequency, direction) float32 0.0 0.0 ... 7.968e-05\n"
+ " spectral_density (time_index, frequency, direction, gid) float32 24MB 0....\n"
]
}
],
@@ -1944,7 +1033,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.12"
+ "version": "3.11.7"
}
},
"nbformat": 4,
diff --git a/examples/data/wave/hindcast/dir_spectra.nc b/examples/data/wave/hindcast/dir_spectra.nc
new file mode 100644
index 000000000..a24d634e5
Binary files /dev/null and b/examples/data/wave/hindcast/dir_spectra.nc differ
diff --git a/examples/data/wave/hindcast/dir_spectra_meta.csv b/examples/data/wave/hindcast/dir_spectra_meta.csv
new file mode 100644
index 000000000..4e63cc272
--- /dev/null
+++ b/examples/data/wave/hindcast/dir_spectra_meta.csv
@@ -0,0 +1,2 @@
+,water_depth,latitude,longitude,distance_to_shore,timezone,jurisdiction,gid
+0,191.8491,43.08,-124.72,22735.91,-8,Federal,58
diff --git a/examples/data/wave/hindcast/multi_year_dir_meta.csv b/examples/data/wave/hindcast/multi_year_dir_meta.csv
deleted file mode 100644
index bc11d4445..000000000
--- a/examples/data/wave/hindcast/multi_year_dir_meta.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-water_depth,latitude,longitude,distance_to_shore,timezone,jurisdiction,gid
-67.7445,44.567,-124.229,12353.165,-8,Federal,87
-191.8491,43.08,-124.72,22735.91,-8,Federal,58
diff --git a/examples/data/wave/hindcast/multi_year_dir_spectra.nc b/examples/data/wave/hindcast/multi_year_dir_spectra.nc
deleted file mode 100644
index a1f96b56a..000000000
Binary files a/examples/data/wave/hindcast/multi_year_dir_spectra.nc and /dev/null differ
diff --git a/examples/data/wave/hindcast/multi_year_dir_spectra_meta.csv b/examples/data/wave/hindcast/multi_year_dir_spectra_meta.csv
deleted file mode 100644
index bc11d4445..000000000
--- a/examples/data/wave/hindcast/multi_year_dir_spectra_meta.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-water_depth,latitude,longitude,distance_to_shore,timezone,jurisdiction,gid
-67.7445,44.567,-124.229,12353.165,-8,Federal,87
-191.8491,43.08,-124.72,22735.91,-8,Federal,58
diff --git a/examples/data/wave/hindcast/multi_year_hindcast.csv b/examples/data/wave/hindcast/multi_year_hindcast.csv
index f3392e3e5..65e806b3c 100644
--- a/examples/data/wave/hindcast/multi_year_hindcast.csv
+++ b/examples/data/wave/hindcast/multi_year_hindcast.csv
@@ -1,5849 +1,5849 @@
-time_index,significant_wave_height_0
-1990-01-01 00:00:00+00:00,4.12372
-1990-01-01 03:00:00+00:00,4.08943
-1990-01-01 06:00:00+00:00,4.02213
-1990-01-01 09:00:00+00:00,4.04348
-1990-01-01 12:00:00+00:00,4.20646
-1990-01-01 15:00:00+00:00,4.17835
-1990-01-01 18:00:00+00:00,3.96689
-1990-01-01 21:00:00+00:00,3.70713
-1990-01-02 00:00:00+00:00,3.50923
-1990-01-02 03:00:00+00:00,3.42054
-1990-01-02 06:00:00+00:00,3.2907
-1990-01-02 09:00:00+00:00,3.37313
-1990-01-02 12:00:00+00:00,3.73581
-1990-01-02 15:00:00+00:00,3.97197
-1990-01-02 18:00:00+00:00,3.86629
-1990-01-02 21:00:00+00:00,3.63216
-1990-01-03 00:00:00+00:00,3.38565
-1990-01-03 03:00:00+00:00,3.11969
-1990-01-03 06:00:00+00:00,2.84969
-1990-01-03 09:00:00+00:00,2.58691
-1990-01-03 12:00:00+00:00,2.36361
-1990-01-03 15:00:00+00:00,2.24512
-1990-01-03 18:00:00+00:00,2.25592
-1990-01-03 21:00:00+00:00,2.45926
-1990-01-04 00:00:00+00:00,2.56088
-1990-01-04 03:00:00+00:00,2.6745
-1990-01-04 06:00:00+00:00,2.89935
-1990-01-04 09:00:00+00:00,3.1182
-1990-01-04 12:00:00+00:00,3.8195
-1990-01-04 15:00:00+00:00,4.23953
-1990-01-04 18:00:00+00:00,3.78425
-1990-01-04 21:00:00+00:00,3.60145
-1990-01-05 00:00:00+00:00,3.40567
-1990-01-05 03:00:00+00:00,3.27594
-1990-01-05 06:00:00+00:00,3.21876
-1990-01-05 09:00:00+00:00,3.24149
-1990-01-05 12:00:00+00:00,3.28441
-1990-01-05 15:00:00+00:00,3.60395
-1990-01-05 18:00:00+00:00,3.70088
-1990-01-05 21:00:00+00:00,4.09892
-1990-01-06 00:00:00+00:00,4.49829
-1990-01-06 03:00:00+00:00,5.26636
-1990-01-06 06:00:00+00:00,4.88917
-1990-01-06 09:00:00+00:00,4.41312
-1990-01-06 12:00:00+00:00,4.09579
-1990-01-06 15:00:00+00:00,4.04649
-1990-01-06 18:00:00+00:00,4.64792
-1990-01-06 21:00:00+00:00,5.42145
-1990-01-07 00:00:00+00:00,6.03733
-1990-01-07 03:00:00+00:00,7.75066
-1990-01-07 06:00:00+00:00,8.32248
-1990-01-07 09:00:00+00:00,7.15703
-1990-01-07 12:00:00+00:00,5.8881
-1990-01-07 15:00:00+00:00,5.11042
-1990-01-07 18:00:00+00:00,4.64087
-1990-01-07 21:00:00+00:00,4.35669
-1990-01-08 00:00:00+00:00,4.99725
-1990-01-08 03:00:00+00:00,5.15361
-1990-01-08 06:00:00+00:00,5.7782
-1990-01-08 09:00:00+00:00,7.30359
-1990-01-08 12:00:00+00:00,6.70024
-1990-01-08 15:00:00+00:00,5.49228
-1990-01-08 18:00:00+00:00,4.96134
-1990-01-08 21:00:00+00:00,4.85851
-1990-01-09 00:00:00+00:00,4.9715
-1990-01-09 03:00:00+00:00,5.3922
-1990-01-09 06:00:00+00:00,8.23574
-1990-01-09 09:00:00+00:00,8.09308
-1990-01-09 12:00:00+00:00,8.13197
-1990-01-09 15:00:00+00:00,7.78097
-1990-01-09 18:00:00+00:00,7.75271
-1990-01-09 21:00:00+00:00,7.86157
-1990-01-10 00:00:00+00:00,7.1708
-1990-01-10 03:00:00+00:00,5.57022
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diff --git a/examples/data/wave/hindcast/multi_year_hindcast_meta.csv b/examples/data/wave/hindcast/multi_year_hindcast_meta.csv
new file mode 100644
index 000000000..1e3638559
--- /dev/null
+++ b/examples/data/wave/hindcast/multi_year_hindcast_meta.csv
@@ -0,0 +1,2 @@
+,water_depth,latitude,longitude,distance_to_shore,timezone,jurisdiction,gid
+0,77.4295,44.6243,-124.279,15622.176,-8,Federal,413889
diff --git a/examples/data/wave/hindcast/multi_year_meta.csv b/examples/data/wave/hindcast/multi_year_meta.csv
deleted file mode 100644
index aa05fd3e9..000000000
--- a/examples/data/wave/hindcast/multi_year_meta.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-water_depth,latitude,longitude,distance_to_shore,timezone,jurisdiction,gid
-77.4295,44.6243,-124.279,15622.176,-8,Federal,413889
diff --git a/examples/data/wave/hindcast/multiparm.csv b/examples/data/wave/hindcast/multiparm.csv
deleted file mode 100644
index 4338b640b..000000000
--- a/examples/data/wave/hindcast/multiparm.csv
+++ /dev/null
@@ -1,8773 +0,0 @@
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diff --git a/examples/data/wave/hindcast/single_year_hindcast.csv b/examples/data/wave/hindcast/single_year_hindcast.csv
new file mode 100644
index 000000000..e0921af6a
--- /dev/null
+++ b/examples/data/wave/hindcast/single_year_hindcast.csv
@@ -0,0 +1,2921 @@
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diff --git a/examples/data/wave/hindcast/single_year_hindcast_multiloc.csv b/examples/data/wave/hindcast/single_year_hindcast_multiloc.csv
index 0ce10f522..7be1e4a62 100644
--- a/examples/data/wave/hindcast/single_year_hindcast_multiloc.csv
+++ b/examples/data/wave/hindcast/single_year_hindcast_multiloc.csv
@@ -1,2921 +1,2921 @@
-time_index,mean_absolute_period_0,mean_absolute_period_1
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diff --git a/examples/data/wave/hindcast/multiloc_meta.csv b/examples/data/wave/hindcast/single_year_hindcast_multiloc_meta.csv
similarity index 100%
rename from examples/data/wave/hindcast/multiloc_meta.csv
rename to examples/data/wave/hindcast/single_year_hindcast_multiloc_meta.csv
diff --git a/examples/data/wave/hindcast/single_year_hindcast_multiparam.csv b/examples/data/wave/hindcast/single_year_hindcast_multiparam.csv
new file mode 100644
index 000000000..6a73701a6
--- /dev/null
+++ b/examples/data/wave/hindcast/single_year_hindcast_multiparam.csv
@@ -0,0 +1,8749 @@
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diff --git a/examples/data/wave/hindcast/multiparm_meta.csv b/examples/data/wave/hindcast/single_year_hindcast_multiparam_meta.csv
similarity index 100%
rename from examples/data/wave/hindcast/multiparm_meta.csv
rename to examples/data/wave/hindcast/single_year_hindcast_multiparam_meta.csv
diff --git a/examples/data/wave/hindcast/single_year_meta.csv b/examples/data/wave/hindcast/single_year_meta.csv
new file mode 100644
index 000000000..1e3638559
--- /dev/null
+++ b/examples/data/wave/hindcast/single_year_meta.csv
@@ -0,0 +1,2 @@
+,water_depth,latitude,longitude,distance_to_shore,timezone,jurisdiction,gid
+0,77.4295,44.6243,-124.279,15622.176,-8,Federal,413889
diff --git a/examples/data/wave/wind_toolkit/wtk_multiloc.csv b/examples/data/wave/wind_toolkit/wtk_multiloc.csv
index 904afc919..f77fa224d 100644
--- a/examples/data/wave/wind_toolkit/wtk_multiloc.csv
+++ b/examples/data/wave/wind_toolkit/wtk_multiloc.csv
@@ -1,8761 +1,8761 @@
time_index,windspeed_10m_0,windspeed_10m_1
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-2001-01-01 01:00:00+00:00,19.17,2.09
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-2001-01-01 05:00:00+00:00,20.07,2.0
-2001-01-01 06:00:00+00:00,18.91,1.62
-2001-01-01 07:00:00+00:00,19.42,1.9
-2001-01-01 08:00:00+00:00,19.29,1.3
-2001-01-01 09:00:00+00:00,19.19,0.65
-2001-01-01 10:00:00+00:00,18.58,0.74
-2001-01-01 11:00:00+00:00,18.33,2.69
-2001-01-01 12:00:00+00:00,17.19,1.95
-2001-01-01 13:00:00+00:00,17.1,2.35
-2001-01-01 14:00:00+00:00,16.18,4.75
-2001-01-01 15:00:00+00:00,15.26,5.02
-2001-01-01 16:00:00+00:00,14.87,5.55
-2001-01-01 17:00:00+00:00,14.61,5.7
-2001-01-01 18:00:00+00:00,13.74,5.55
-2001-01-01 19:00:00+00:00,13.3,5.29
-2001-01-01 20:00:00+00:00,12.75,4.61
-2001-01-01 21:00:00+00:00,12.31,1.24
-2001-01-01 22:00:00+00:00,11.74,0.44
-2001-01-01 23:00:00+00:00,11.11,0.79
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-2001-05-17 12:00:00+00:00,9.99,3.42
-2001-05-17 13:00:00+00:00,9.13,3.67
-2001-05-17 14:00:00+00:00,8.87,2.9
-2001-05-17 15:00:00+00:00,8.05,3.39
-2001-05-17 16:00:00+00:00,7.17,4.64
-2001-05-17 17:00:00+00:00,6.41,5.16
-2001-05-17 18:00:00+00:00,6.97,5.3
-2001-05-17 19:00:00+00:00,8.55,5.52
-2001-05-17 20:00:00+00:00,9.43,4.85
-2001-05-17 21:00:00+00:00,8.43,5.28
-2001-05-17 22:00:00+00:00,8.79,5.16
-2001-05-17 23:00:00+00:00,8.3,4.27
-2001-05-18 00:00:00+00:00,8.51,3.56
-2001-05-18 01:00:00+00:00,8.18,3.7
-2001-05-18 02:00:00+00:00,7.86,3.6
-2001-05-18 03:00:00+00:00,7.42,2.8
-2001-05-18 04:00:00+00:00,7.27,3.79
-2001-05-18 05:00:00+00:00,7.75,3.62
-2001-05-18 06:00:00+00:00,7.96,3.74
-2001-05-18 07:00:00+00:00,8.1,3.8
-2001-05-18 08:00:00+00:00,7.87,2.76
-2001-05-18 09:00:00+00:00,7.9,3.91
-2001-05-18 10:00:00+00:00,7.91,3.71
-2001-05-18 11:00:00+00:00,7.55,3.37
-2001-05-18 12:00:00+00:00,6.86,3.15
-2001-05-18 13:00:00+00:00,5.72,3.08
-2001-05-18 14:00:00+00:00,4.83,3.51
-2001-05-18 15:00:00+00:00,4.15,3.69
-2001-05-18 16:00:00+00:00,3.64,3.72
-2001-05-18 17:00:00+00:00,3.58,3.83
-2001-05-18 18:00:00+00:00,3.41,4.02
-2001-05-18 19:00:00+00:00,2.73,4.08
-2001-05-18 20:00:00+00:00,1.99,3.44
-2001-05-18 21:00:00+00:00,1.54,4.13
-2001-05-18 22:00:00+00:00,0.81,4.2
-2001-05-18 23:00:00+00:00,0.66,3.37
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-2001-05-19 01:00:00+00:00,1.66,3.21
-2001-05-19 02:00:00+00:00,2.48,3.23
-2001-05-19 03:00:00+00:00,3.86,2.98
-2001-05-19 04:00:00+00:00,3.27,2.54
-2001-05-19 05:00:00+00:00,4.11,2.02
-2001-05-19 06:00:00+00:00,5.43,1.99
-2001-05-19 07:00:00+00:00,4.2,1.08
-2001-05-19 08:00:00+00:00,3.9,1.77
-2001-05-19 09:00:00+00:00,3.31,0.91
-2001-05-19 10:00:00+00:00,4.37,2.19
-2001-05-19 11:00:00+00:00,4.74,2.79
-2001-05-19 12:00:00+00:00,5.89,2.51
-2001-05-19 13:00:00+00:00,7.35,2.61
-2001-05-19 14:00:00+00:00,7.03,3.02
-2001-05-19 15:00:00+00:00,6.26,3.15
-2001-05-19 16:00:00+00:00,7.18,3.74
-2001-05-19 17:00:00+00:00,5.66,4.17
-2001-05-19 18:00:00+00:00,5.58,4.36
-2001-05-19 19:00:00+00:00,4.53,4.28
-2001-05-19 20:00:00+00:00,2.95,4.28
-2001-05-19 21:00:00+00:00,3.05,4.46
-2001-05-19 22:00:00+00:00,2.73,4.51
-2001-05-19 23:00:00+00:00,2.51,3.52
-2001-05-20 00:00:00+00:00,3.86,3.63
-2001-05-20 01:00:00+00:00,4.76,3.54
-2001-05-20 02:00:00+00:00,4.47,4.1
-2001-05-20 03:00:00+00:00,4.9,3.97
-2001-05-20 04:00:00+00:00,7.52,3.34
-2001-05-20 05:00:00+00:00,7.91,3.03
-2001-05-20 06:00:00+00:00,7.34,2.75
-2001-05-20 07:00:00+00:00,7.36,3.01
-2001-05-20 08:00:00+00:00,7.49,3.16
-2001-05-20 09:00:00+00:00,7.71,2.92
-2001-05-20 10:00:00+00:00,7.59,3.6
-2001-05-20 11:00:00+00:00,7.32,4.25
-2001-05-20 12:00:00+00:00,6.92,3.73
-2001-05-20 13:00:00+00:00,7.25,3.77
-2001-05-20 14:00:00+00:00,7.09,3.77
-2001-05-20 15:00:00+00:00,8.57,3.58
-2001-05-20 16:00:00+00:00,6.87,4.66
-2001-05-20 17:00:00+00:00,8.86,5.17
-2001-05-20 18:00:00+00:00,8.72,5.07
-2001-05-20 19:00:00+00:00,8.45,5.34
-2001-05-20 20:00:00+00:00,7.9,5.65
-2001-05-20 21:00:00+00:00,7.94,5.29
-2001-05-20 22:00:00+00:00,7.99,4.54
-2001-05-20 23:00:00+00:00,7.67,3.75
-2001-05-21 00:00:00+00:00,7.06,2.72
-2001-05-21 01:00:00+00:00,6.58,2.38
-2001-05-21 02:00:00+00:00,6.52,2.48
-2001-05-21 03:00:00+00:00,6.62,2.4
-2001-05-21 04:00:00+00:00,6.03,0.13
-2001-05-21 05:00:00+00:00,5.82,0.88
-2001-05-21 06:00:00+00:00,6.79,1.11
-2001-05-21 07:00:00+00:00,6.31,1.29
-2001-05-21 08:00:00+00:00,5.99,2.89
-2001-05-21 09:00:00+00:00,7.04,2.01
-2001-05-21 10:00:00+00:00,7.22,2.53
-2001-05-21 11:00:00+00:00,8.03,2.72
-2001-05-21 12:00:00+00:00,7.78,2.89
-2001-05-21 13:00:00+00:00,8.71,3.66
-2001-05-21 14:00:00+00:00,8.46,3.37
-2001-05-21 15:00:00+00:00,9.22,4.14
-2001-05-21 16:00:00+00:00,9.12,3.28
-2001-05-21 17:00:00+00:00,9.43,4.08
-2001-05-21 18:00:00+00:00,10.04,4.27
-2001-05-21 19:00:00+00:00,9.6,2.76
-2001-05-21 20:00:00+00:00,9.87,2.29
-2001-05-21 21:00:00+00:00,10.23,3.65
-2001-05-21 22:00:00+00:00,10.76,4.18
-2001-05-21 23:00:00+00:00,10.77,3.57
-2001-05-22 00:00:00+00:00,10.83,2.04
-2001-05-22 01:00:00+00:00,11.34,2.57
-2001-05-22 02:00:00+00:00,11.32,2.06
-2001-05-22 03:00:00+00:00,11.0,1.92
-2001-05-22 04:00:00+00:00,10.1,1.96
-2001-05-22 05:00:00+00:00,11.23,3.27
-2001-05-22 06:00:00+00:00,7.27,3.18
-2001-05-22 07:00:00+00:00,10.43,2.66
-2001-05-22 08:00:00+00:00,10.61,3.02
-2001-05-22 09:00:00+00:00,11.15,3.5
-2001-05-22 10:00:00+00:00,10.68,2.08
-2001-05-22 11:00:00+00:00,10.23,2.88
-2001-05-22 12:00:00+00:00,13.16,1.06
-2001-05-22 13:00:00+00:00,13.04,1.13
-2001-05-22 14:00:00+00:00,13.43,1.56
-2001-05-22 15:00:00+00:00,13.24,2.58
-2001-05-22 16:00:00+00:00,13.73,2.6
-2001-05-22 17:00:00+00:00,15.27,2.01
-2001-05-22 18:00:00+00:00,14.56,3.41
-2001-05-22 19:00:00+00:00,14.13,4.66
-2001-05-22 20:00:00+00:00,13.98,5.53
-2001-05-22 21:00:00+00:00,12.21,5.69
-2001-05-22 22:00:00+00:00,11.96,5.01
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-2001-05-23 00:00:00+00:00,12.64,4.4
-2001-05-23 01:00:00+00:00,12.72,4.43
-2001-05-23 02:00:00+00:00,12.14,4.21
-2001-05-23 03:00:00+00:00,11.2,2.96
-2001-05-23 04:00:00+00:00,9.75,3.6
-2001-05-23 05:00:00+00:00,9.31,2.93
-2001-05-23 06:00:00+00:00,10.86,2.64
-2001-05-23 07:00:00+00:00,10.21,2.87
-2001-05-23 08:00:00+00:00,9.45,1.19
-2001-05-23 09:00:00+00:00,10.3,0.84
-2001-05-23 10:00:00+00:00,10.91,4.66
-2001-05-23 11:00:00+00:00,11.69,5.9
-2001-05-23 12:00:00+00:00,11.16,5.58
-2001-05-23 13:00:00+00:00,10.9,5.87
-2001-05-23 14:00:00+00:00,10.16,6.52
-2001-05-23 15:00:00+00:00,11.0,5.64
-2001-05-23 16:00:00+00:00,11.17,5.02
-2001-05-23 17:00:00+00:00,10.54,4.64
-2001-05-23 18:00:00+00:00,10.03,5.4
-2001-05-23 19:00:00+00:00,9.3,5.21
-2001-05-23 20:00:00+00:00,9.13,5.1
-2001-05-23 21:00:00+00:00,8.87,4.68
-2001-05-23 22:00:00+00:00,8.99,4.4
-2001-05-23 23:00:00+00:00,8.76,3.7
-2001-05-24 00:00:00+00:00,9.03,2.81
-2001-05-24 01:00:00+00:00,8.96,3.01
-2001-05-24 02:00:00+00:00,9.22,2.38
-2001-05-24 03:00:00+00:00,9.27,2.44
-2001-05-24 04:00:00+00:00,8.77,2.47
-2001-05-24 05:00:00+00:00,8.7,1.38
-2001-05-24 06:00:00+00:00,8.97,1.89
-2001-05-24 07:00:00+00:00,7.79,1.42
-2001-05-24 08:00:00+00:00,8.28,1.14
-2001-05-24 09:00:00+00:00,8.85,1.33
-2001-05-24 10:00:00+00:00,8.69,1.41
-2001-05-24 11:00:00+00:00,8.42,0.97
-2001-05-24 12:00:00+00:00,8.33,1.34
-2001-05-24 13:00:00+00:00,8.12,1.42
-2001-05-24 14:00:00+00:00,7.62,0.81
-2001-05-24 15:00:00+00:00,7.5,1.06
-2001-05-24 16:00:00+00:00,7.56,1.8
-2001-05-24 17:00:00+00:00,8.57,1.9
-2001-05-24 18:00:00+00:00,9.45,1.5
-2001-05-24 19:00:00+00:00,8.06,2.29
-2001-05-24 20:00:00+00:00,6.83,1.02
-2001-05-24 21:00:00+00:00,7.68,1.68
-2001-05-24 22:00:00+00:00,6.92,2.0
-2001-05-24 23:00:00+00:00,6.83,3.15
-2001-05-25 00:00:00+00:00,6.6,2.93
-2001-05-25 01:00:00+00:00,7.53,2.65
-2001-05-25 02:00:00+00:00,7.96,4.7
-2001-05-25 03:00:00+00:00,7.48,4.42
-2001-05-25 04:00:00+00:00,7.97,3.48
-2001-05-25 05:00:00+00:00,8.54,3.38
-2001-05-25 06:00:00+00:00,8.79,3.52
-2001-05-25 07:00:00+00:00,9.09,3.56
-2001-05-25 08:00:00+00:00,8.65,3.32
-2001-05-25 09:00:00+00:00,8.56,3.22
-2001-05-25 10:00:00+00:00,8.84,3.26
-2001-05-25 11:00:00+00:00,8.59,4.37
-2001-05-25 12:00:00+00:00,7.93,4.31
-2001-05-25 13:00:00+00:00,7.12,3.99
-2001-05-25 14:00:00+00:00,7.06,4.31
-2001-05-25 15:00:00+00:00,7.75,4.51
-2001-05-25 16:00:00+00:00,8.54,4.61
-2001-05-25 17:00:00+00:00,8.78,5.01
-2001-05-25 18:00:00+00:00,8.37,6.26
-2001-05-25 19:00:00+00:00,7.9,6.57
-2001-05-25 20:00:00+00:00,7.54,6.63
-2001-05-25 21:00:00+00:00,7.42,6.51
-2001-05-25 22:00:00+00:00,7.67,6.5
-2001-05-25 23:00:00+00:00,7.06,5.83
-2001-05-26 00:00:00+00:00,6.45,4.35
-2001-05-26 01:00:00+00:00,6.31,2.87
-2001-05-26 02:00:00+00:00,6.14,4.92
-2001-05-26 03:00:00+00:00,6.22,4.98
-2001-05-26 04:00:00+00:00,5.99,4.77
-2001-05-26 05:00:00+00:00,5.81,4.22
-2001-05-26 06:00:00+00:00,6.06,3.99
-2001-05-26 07:00:00+00:00,5.75,3.52
-2001-05-26 08:00:00+00:00,5.24,3.54
-2001-05-26 09:00:00+00:00,4.72,2.24
-2001-05-26 10:00:00+00:00,5.27,1.8
-2001-05-26 11:00:00+00:00,5.42,1.93
-2001-05-26 12:00:00+00:00,6.12,1.45
-2001-05-26 13:00:00+00:00,5.92,3.53
-2001-05-26 14:00:00+00:00,5.96,2.52
-2001-05-26 15:00:00+00:00,6.01,3.45
-2001-05-26 16:00:00+00:00,6.4,2.48
-2001-05-26 17:00:00+00:00,6.59,2.84
-2001-05-26 18:00:00+00:00,6.39,4.79
-2001-05-26 19:00:00+00:00,6.3,2.42
-2001-05-26 20:00:00+00:00,6.29,2.27
-2001-05-26 21:00:00+00:00,6.6,3.42
-2001-05-26 22:00:00+00:00,6.95,3.32
-2001-05-26 23:00:00+00:00,7.59,3.19
-2001-05-27 00:00:00+00:00,7.63,2.29
-2001-05-27 01:00:00+00:00,7.28,1.01
-2001-05-27 02:00:00+00:00,7.32,1.87
-2001-05-27 03:00:00+00:00,7.08,1.82
-2001-05-27 04:00:00+00:00,7.17,1.78
-2001-05-27 05:00:00+00:00,7.47,2.61
-2001-05-27 06:00:00+00:00,7.29,2.52
-2001-05-27 07:00:00+00:00,5.85,0.64
-2001-05-27 08:00:00+00:00,6.28,0.44
-2001-05-27 09:00:00+00:00,7.3,1.79
-2001-05-27 10:00:00+00:00,8.08,1.71
-2001-05-27 11:00:00+00:00,8.43,1.6
-2001-05-27 12:00:00+00:00,7.97,2.2
-2001-05-27 13:00:00+00:00,8.28,1.86
-2001-05-27 14:00:00+00:00,8.56,2.33
-2001-05-27 15:00:00+00:00,8.63,2.93
-2001-05-27 16:00:00+00:00,8.64,2.26
-2001-05-27 17:00:00+00:00,9.28,3.94
-2001-05-27 18:00:00+00:00,9.25,4.58
-2001-05-27 19:00:00+00:00,8.71,5.18
-2001-05-27 20:00:00+00:00,9.31,6.02
-2001-05-27 21:00:00+00:00,11.94,3.62
-2001-05-27 22:00:00+00:00,10.4,2.31
-2001-05-27 23:00:00+00:00,13.18,2.06
-2001-05-28 00:00:00+00:00,11.92,2.61
-2001-05-28 01:00:00+00:00,13.76,2.76
-2001-05-28 02:00:00+00:00,12.95,2.53
-2001-05-28 03:00:00+00:00,12.17,0.68
-2001-05-28 04:00:00+00:00,7.39,1.4
-2001-05-28 05:00:00+00:00,4.46,2.23
-2001-05-28 06:00:00+00:00,4.61,1.98
-2001-05-28 07:00:00+00:00,5.03,1.26
-2001-05-28 08:00:00+00:00,4.68,2.0
-2001-05-28 09:00:00+00:00,6.4,1.01
-2001-05-28 10:00:00+00:00,4.74,1.28
-2001-05-28 11:00:00+00:00,5.43,3.06
-2001-05-28 12:00:00+00:00,5.51,3.24
-2001-05-28 13:00:00+00:00,4.31,3.2
-2001-05-28 14:00:00+00:00,4.09,4.94
-2001-05-28 15:00:00+00:00,3.6,5.84
-2001-05-28 16:00:00+00:00,4.9,6.38
-2001-05-28 17:00:00+00:00,5.33,6.4
-2001-05-28 18:00:00+00:00,6.09,6.67
-2001-05-28 19:00:00+00:00,6.35,7.15
-2001-05-28 20:00:00+00:00,6.79,7.44
-2001-05-28 21:00:00+00:00,7.64,6.63
-2001-05-28 22:00:00+00:00,8.06,6.16
-2001-05-28 23:00:00+00:00,8.66,4.95
-2001-05-29 00:00:00+00:00,9.14,3.7
-2001-05-29 01:00:00+00:00,10.51,3.78
-2001-05-29 02:00:00+00:00,10.0,3.22
-2001-05-29 03:00:00+00:00,9.1,2.95
-2001-05-29 04:00:00+00:00,8.16,2.82
-2001-05-29 05:00:00+00:00,9.0,2.66
-2001-05-29 06:00:00+00:00,5.67,2.59
-2001-05-29 07:00:00+00:00,9.21,2.44
-2001-05-29 08:00:00+00:00,8.26,2.34
-2001-05-29 09:00:00+00:00,2.98,1.98
-2001-05-29 10:00:00+00:00,4.63,1.1
-2001-05-29 11:00:00+00:00,5.37,1.76
-2001-05-29 12:00:00+00:00,4.52,1.21
-2001-05-29 13:00:00+00:00,4.18,0.82
-2001-05-29 14:00:00+00:00,4.97,2.71
-2001-05-29 15:00:00+00:00,5.26,2.4
-2001-05-29 16:00:00+00:00,5.91,1.36
-2001-05-29 17:00:00+00:00,6.8,4.08
-2001-05-29 18:00:00+00:00,6.29,4.98
-2001-05-29 19:00:00+00:00,6.45,4.02
-2001-05-29 20:00:00+00:00,6.85,3.67
-2001-05-29 21:00:00+00:00,6.04,3.44
-2001-05-29 22:00:00+00:00,5.32,3.94
-2001-05-29 23:00:00+00:00,4.16,2.99
-2001-05-30 00:00:00+00:00,3.34,3.59
-2001-05-30 01:00:00+00:00,4.41,4.35
-2001-05-30 02:00:00+00:00,4.19,4.91
-2001-05-30 03:00:00+00:00,0.9,4.38
-2001-05-30 04:00:00+00:00,3.67,1.94
-2001-05-30 05:00:00+00:00,1.44,2.46
-2001-05-30 06:00:00+00:00,4.88,1.77
-2001-05-30 07:00:00+00:00,5.87,0.93
-2001-05-30 08:00:00+00:00,4.96,1.18
-2001-05-30 09:00:00+00:00,4.9,2.52
-2001-05-30 10:00:00+00:00,8.22,2.92
-2001-05-30 11:00:00+00:00,7.41,4.3
-2001-05-30 12:00:00+00:00,6.07,4.87
-2001-05-30 13:00:00+00:00,5.67,6.34
-2001-05-30 14:00:00+00:00,5.69,6.72
-2001-05-30 15:00:00+00:00,5.89,6.74
-2001-05-30 16:00:00+00:00,6.52,6.77
-2001-05-30 17:00:00+00:00,7.09,6.78
-2001-05-30 18:00:00+00:00,7.11,6.96
-2001-05-30 19:00:00+00:00,5.05,7.32
-2001-05-30 20:00:00+00:00,8.66,7.35
-2001-05-30 21:00:00+00:00,9.54,7.19
-2001-05-30 22:00:00+00:00,11.63,6.24
-2001-05-30 23:00:00+00:00,11.08,5.0
-2001-05-31 00:00:00+00:00,11.44,3.71
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-2001-06-13 12:00:00+00:00,9.14,2.21
-2001-06-13 13:00:00+00:00,7.18,2.48
-2001-06-13 14:00:00+00:00,6.81,2.73
-2001-06-13 15:00:00+00:00,6.48,2.48
-2001-06-13 16:00:00+00:00,5.57,1.68
-2001-06-13 17:00:00+00:00,4.68,1.3
-2001-06-13 18:00:00+00:00,5.64,1.75
-2001-06-13 19:00:00+00:00,5.68,2.41
-2001-06-13 20:00:00+00:00,3.47,2.52
-2001-06-13 21:00:00+00:00,3.67,3.04
-2001-06-13 22:00:00+00:00,3.32,2.66
-2001-06-13 23:00:00+00:00,3.57,2.33
-2001-06-14 00:00:00+00:00,3.41,2.51
-2001-06-14 01:00:00+00:00,3.85,1.78
-2001-06-14 02:00:00+00:00,3.47,0.85
-2001-06-14 03:00:00+00:00,3.84,0.67
-2001-06-14 04:00:00+00:00,4.05,0.24
-2001-06-14 05:00:00+00:00,3.56,1.76
-2001-06-14 06:00:00+00:00,3.05,2.42
-2001-06-14 07:00:00+00:00,2.86,2.43
-2001-06-14 08:00:00+00:00,2.36,2.48
-2001-06-14 09:00:00+00:00,2.7,2.47
-2001-06-14 10:00:00+00:00,2.61,2.03
-2001-06-14 11:00:00+00:00,2.78,0.68
-2001-06-14 12:00:00+00:00,2.42,0.36
-2001-06-14 13:00:00+00:00,1.88,0.99
-2001-06-14 14:00:00+00:00,1.71,1.54
-2001-06-14 15:00:00+00:00,1.22,1.27
-2001-06-14 16:00:00+00:00,1.23,1.36
-2001-06-14 17:00:00+00:00,1.49,1.02
-2001-06-14 18:00:00+00:00,0.85,1.34
-2001-06-14 19:00:00+00:00,1.13,3.36
-2001-06-14 20:00:00+00:00,1.39,2.72
-2001-06-14 21:00:00+00:00,1.29,3.69
-2001-06-14 22:00:00+00:00,1.17,3.82
-2001-06-14 23:00:00+00:00,1.28,3.37
-2001-06-15 00:00:00+00:00,1.85,3.03
-2001-06-15 01:00:00+00:00,1.68,2.66
-2001-06-15 02:00:00+00:00,1.81,2.44
-2001-06-15 03:00:00+00:00,2.43,2.63
-2001-06-15 04:00:00+00:00,2.77,2.54
-2001-06-15 05:00:00+00:00,2.03,2.61
-2001-06-15 06:00:00+00:00,1.53,1.42
-2001-06-15 07:00:00+00:00,1.2,2.29
-2001-06-15 08:00:00+00:00,0.34,2.21
-2001-06-15 09:00:00+00:00,1.52,1.54
-2001-06-15 10:00:00+00:00,2.15,1.53
-2001-06-15 11:00:00+00:00,1.44,0.91
-2001-06-15 12:00:00+00:00,0.92,0.89
-2001-06-15 13:00:00+00:00,1.24,1.61
-2001-06-15 14:00:00+00:00,1.5,2.17
-2001-06-15 15:00:00+00:00,1.98,3.78
-2001-06-15 16:00:00+00:00,1.86,4.34
-2001-06-15 17:00:00+00:00,2.05,4.93
-2001-06-15 18:00:00+00:00,2.11,5.16
-2001-06-15 19:00:00+00:00,2.55,4.55
-2001-06-15 20:00:00+00:00,2.78,5.01
-2001-06-15 21:00:00+00:00,2.88,5.55
-2001-06-15 22:00:00+00:00,3.04,4.72
-2001-06-15 23:00:00+00:00,3.12,4.34
-2001-06-16 00:00:00+00:00,3.74,3.97
-2001-06-16 01:00:00+00:00,4.43,3.24
-2001-06-16 02:00:00+00:00,4.4,2.63
-2001-06-16 03:00:00+00:00,4.07,2.55
-2001-06-16 04:00:00+00:00,4.01,2.15
-2001-06-16 05:00:00+00:00,3.76,2.11
-2001-06-16 06:00:00+00:00,2.9,1.98
-2001-06-16 07:00:00+00:00,2.53,2.27
-2001-06-16 08:00:00+00:00,2.34,2.35
-2001-06-16 09:00:00+00:00,1.93,1.41
-2001-06-16 10:00:00+00:00,2.22,1.2
-2001-06-16 11:00:00+00:00,2.08,0.99
-2001-06-16 12:00:00+00:00,2.4,1.47
-2001-06-16 13:00:00+00:00,3.16,1.94
-2001-06-16 14:00:00+00:00,3.2,1.59
-2001-06-16 15:00:00+00:00,3.14,3.25
-2001-06-16 16:00:00+00:00,3.04,2.2
-2001-06-16 17:00:00+00:00,2.6,1.93
-2001-06-16 18:00:00+00:00,2.2,2.74
-2001-06-16 19:00:00+00:00,2.18,4.2
-2001-06-16 20:00:00+00:00,2.43,3.43
-2001-06-16 21:00:00+00:00,2.87,3.79
-2001-06-16 22:00:00+00:00,3.37,3.8
-2001-06-16 23:00:00+00:00,3.75,3.4
-2001-06-17 00:00:00+00:00,4.03,2.45
-2001-06-17 01:00:00+00:00,4.11,4.11
-2001-06-17 02:00:00+00:00,4.25,5.57
-2001-06-17 03:00:00+00:00,3.56,5.73
-2001-06-17 04:00:00+00:00,3.15,5.22
-2001-06-17 05:00:00+00:00,3.66,4.56
-2001-06-17 06:00:00+00:00,4.28,5.69
-2001-06-17 07:00:00+00:00,4.55,5.13
-2001-06-17 08:00:00+00:00,5.24,5.22
-2001-06-17 09:00:00+00:00,5.64,3.5
-2001-06-17 10:00:00+00:00,6.11,1.9
-2001-06-17 11:00:00+00:00,6.23,2.82
-2001-06-17 12:00:00+00:00,6.76,3.57
-2001-06-17 13:00:00+00:00,6.63,4.02
-2001-06-17 14:00:00+00:00,6.88,4.32
-2001-06-17 15:00:00+00:00,6.84,3.92
-2001-06-17 16:00:00+00:00,7.01,5.08
-2001-06-17 17:00:00+00:00,7.3,4.65
-2001-06-17 18:00:00+00:00,7.82,3.87
-2001-06-17 19:00:00+00:00,8.05,4.43
-2001-06-17 20:00:00+00:00,8.18,4.02
-2001-06-17 21:00:00+00:00,7.92,4.13
-2001-06-17 22:00:00+00:00,8.18,4.16
-2001-06-17 23:00:00+00:00,8.55,3.6
-2001-06-18 00:00:00+00:00,8.52,3.21
-2001-06-18 01:00:00+00:00,8.73,3.58
-2001-06-18 02:00:00+00:00,9.1,3.66
-2001-06-18 03:00:00+00:00,9.32,3.62
-2001-06-18 04:00:00+00:00,9.7,2.87
-2001-06-18 05:00:00+00:00,10.18,2.57
-2001-06-18 06:00:00+00:00,11.06,2.76
-2001-06-18 07:00:00+00:00,12.04,2.67
-2001-06-18 08:00:00+00:00,12.47,1.92
-2001-06-18 09:00:00+00:00,13.18,0.56
-2001-06-18 10:00:00+00:00,12.41,2.58
-2001-06-18 11:00:00+00:00,12.83,4.89
-2001-06-18 12:00:00+00:00,13.5,4.75
-2001-06-18 13:00:00+00:00,13.76,4.48
-2001-06-18 14:00:00+00:00,13.99,4.52
-2001-06-18 15:00:00+00:00,13.13,4.16
-2001-06-18 16:00:00+00:00,12.58,3.89
-2001-06-18 17:00:00+00:00,11.36,3.75
-2001-06-18 18:00:00+00:00,10.49,3.56
-2001-06-18 19:00:00+00:00,9.85,3.16
-2001-06-18 20:00:00+00:00,8.99,2.9
-2001-06-18 21:00:00+00:00,8.47,2.49
-2001-06-18 22:00:00+00:00,7.84,1.8
-2001-06-18 23:00:00+00:00,7.98,1.46
-2001-06-19 00:00:00+00:00,7.87,2.33
-2001-06-19 01:00:00+00:00,7.94,2.92
-2001-06-19 02:00:00+00:00,6.2,1.5
-2001-06-19 03:00:00+00:00,5.42,0.7
-2001-06-19 04:00:00+00:00,4.7,1.92
-2001-06-19 05:00:00+00:00,4.9,1.9
-2001-06-19 06:00:00+00:00,5.32,1.91
-2001-06-19 07:00:00+00:00,5.92,1.47
-2001-06-19 08:00:00+00:00,6.17,1.42
-2001-06-19 09:00:00+00:00,6.07,2.29
-2001-06-19 10:00:00+00:00,5.8,2.5
-2001-06-19 11:00:00+00:00,5.24,2.42
-2001-06-19 12:00:00+00:00,5.24,3.54
-2001-06-19 13:00:00+00:00,5.5,4.03
-2001-06-19 14:00:00+00:00,5.4,4.55
-2001-06-19 15:00:00+00:00,5.25,5.34
-2001-06-19 16:00:00+00:00,5.04,5.61
-2001-06-19 17:00:00+00:00,4.42,5.84
-2001-06-19 18:00:00+00:00,3.81,5.96
-2001-06-19 19:00:00+00:00,3.08,5.89
-2001-06-19 20:00:00+00:00,2.59,5.8
-2001-06-19 21:00:00+00:00,2.07,5.57
-2001-06-19 22:00:00+00:00,1.34,5.24
-2001-06-19 23:00:00+00:00,0.66,4.44
-2001-06-20 00:00:00+00:00,0.23,3.71
-2001-06-20 01:00:00+00:00,0.88,2.98
-2001-06-20 02:00:00+00:00,1.82,2.88
-2001-06-20 03:00:00+00:00,1.45,3.08
-2001-06-20 04:00:00+00:00,1.28,3.24
-2001-06-20 05:00:00+00:00,1.65,3.37
-2001-06-20 06:00:00+00:00,2.35,3.32
-2001-06-20 07:00:00+00:00,3.31,2.85
-2001-06-20 08:00:00+00:00,3.45,2.51
-2001-06-20 09:00:00+00:00,3.46,2.18
-2001-06-20 10:00:00+00:00,3.37,1.85
-2001-06-20 11:00:00+00:00,3.64,2.7
-2001-06-20 12:00:00+00:00,4.12,2.93
-2001-06-20 13:00:00+00:00,4.32,3.07
-2001-06-20 14:00:00+00:00,4.42,1.68
-2001-06-20 15:00:00+00:00,4.44,1.39
-2001-06-20 16:00:00+00:00,4.11,2.52
-2001-06-20 17:00:00+00:00,4.45,1.99
-2001-06-20 18:00:00+00:00,4.74,3.33
-2001-06-20 19:00:00+00:00,4.81,4.15
-2001-06-20 20:00:00+00:00,4.64,4.26
-2001-06-20 21:00:00+00:00,4.43,4.14
-2001-06-20 22:00:00+00:00,4.64,7.18
-2001-06-20 23:00:00+00:00,4.57,2.94
-2001-06-21 00:00:00+00:00,4.42,0.86
-2001-06-21 01:00:00+00:00,4.86,1.87
-2001-06-21 02:00:00+00:00,5.58,2.3
-2001-06-21 03:00:00+00:00,5.57,2.49
-2001-06-21 04:00:00+00:00,5.0,3.12
-2001-06-21 05:00:00+00:00,4.48,3.31
-2001-06-21 06:00:00+00:00,4.47,3.08
-2001-06-21 07:00:00+00:00,4.18,2.28
-2001-06-21 08:00:00+00:00,3.85,2.49
-2001-06-21 09:00:00+00:00,3.45,2.54
-2001-06-21 10:00:00+00:00,2.67,2.54
-2001-06-21 11:00:00+00:00,2.66,2.32
-2001-06-21 12:00:00+00:00,3.14,1.78
-2001-06-21 13:00:00+00:00,3.89,2.09
-2001-06-21 14:00:00+00:00,3.97,1.49
-2001-06-21 15:00:00+00:00,3.56,1.09
-2001-06-21 16:00:00+00:00,3.01,1.64
-2001-06-21 17:00:00+00:00,2.8,2.12
-2001-06-21 18:00:00+00:00,2.8,1.44
-2001-06-21 19:00:00+00:00,2.27,2.9
-2001-06-21 20:00:00+00:00,2.07,2.93
-2001-06-21 21:00:00+00:00,2.45,4.51
-2001-06-21 22:00:00+00:00,2.75,5.33
-2001-06-21 23:00:00+00:00,2.89,5.2
-2001-06-22 00:00:00+00:00,2.24,4.22
-2001-06-22 01:00:00+00:00,2.39,2.83
-2001-06-22 02:00:00+00:00,3.7,2.35
-2001-06-22 03:00:00+00:00,4.4,4.36
-2001-06-22 04:00:00+00:00,4.49,5.06
-2001-06-22 05:00:00+00:00,5.33,4.18
-2001-06-22 06:00:00+00:00,5.03,5.4
-2001-06-22 07:00:00+00:00,4.4,5.73
-2001-06-22 08:00:00+00:00,3.99,4.41
-2001-06-22 09:00:00+00:00,4.16,3.47
-2001-06-22 10:00:00+00:00,4.24,3.52
-2001-06-22 11:00:00+00:00,4.25,5.01
-2001-06-22 12:00:00+00:00,5.45,5.91
-2001-06-22 13:00:00+00:00,6.31,3.93
-2001-06-22 14:00:00+00:00,6.46,6.79
-2001-06-22 15:00:00+00:00,6.41,6.84
-2001-06-22 16:00:00+00:00,6.42,7.35
-2001-06-22 17:00:00+00:00,6.09,7.66
-2001-06-22 18:00:00+00:00,6.77,7.18
-2001-06-22 19:00:00+00:00,6.82,7.17
-2001-06-22 20:00:00+00:00,7.71,6.56
-2001-06-22 21:00:00+00:00,7.33,6.24
-2001-06-22 22:00:00+00:00,8.02,5.27
-2001-06-22 23:00:00+00:00,8.44,4.47
-2001-06-23 00:00:00+00:00,8.9,6.05
-2001-06-23 01:00:00+00:00,9.12,5.78
-2001-06-23 02:00:00+00:00,8.47,5.7
-2001-06-23 03:00:00+00:00,9.07,3.86
-2001-06-23 04:00:00+00:00,8.57,3.27
-2001-06-23 05:00:00+00:00,8.82,3.58
-2001-06-23 06:00:00+00:00,8.88,3.67
-2001-06-23 07:00:00+00:00,8.37,2.29
-2001-06-23 08:00:00+00:00,8.4,1.31
-2001-06-23 09:00:00+00:00,8.18,1.73
-2001-06-23 10:00:00+00:00,8.27,1.9
-2001-06-23 11:00:00+00:00,8.17,3.09
-2001-06-23 12:00:00+00:00,8.52,2.62
-2001-06-23 13:00:00+00:00,8.68,4.94
-2001-06-23 14:00:00+00:00,8.36,5.73
-2001-06-23 15:00:00+00:00,8.54,7.41
-2001-06-23 16:00:00+00:00,8.79,6.23
-2001-06-23 17:00:00+00:00,9.02,5.88
-2001-06-23 18:00:00+00:00,9.59,3.35
-2001-06-23 19:00:00+00:00,9.58,3.53
-2001-06-23 20:00:00+00:00,9.16,3.31
-2001-06-23 21:00:00+00:00,9.12,3.34
-2001-06-23 22:00:00+00:00,9.16,3.48
-2001-06-23 23:00:00+00:00,9.92,3.95
-2001-06-24 00:00:00+00:00,9.63,2.96
-2001-06-24 01:00:00+00:00,9.25,3.54
-2001-06-24 02:00:00+00:00,8.92,4.35
-2001-06-24 03:00:00+00:00,9.04,4.45
-2001-06-24 04:00:00+00:00,9.03,2.78
-2001-06-24 05:00:00+00:00,9.13,4.03
-2001-06-24 06:00:00+00:00,9.05,3.63
-2001-06-24 07:00:00+00:00,8.91,2.43
-2001-06-24 08:00:00+00:00,8.71,0.48
-2001-06-24 09:00:00+00:00,8.52,1.93
-2001-06-24 10:00:00+00:00,8.75,1.9
-2001-06-24 11:00:00+00:00,9.12,3.01
-2001-06-24 12:00:00+00:00,9.36,3.42
-2001-06-24 13:00:00+00:00,9.23,4.17
-2001-06-24 14:00:00+00:00,8.58,4.33
-2001-06-24 15:00:00+00:00,8.59,4.43
-2001-06-24 16:00:00+00:00,8.67,4.42
-2001-06-24 17:00:00+00:00,8.69,4.25
-2001-06-24 18:00:00+00:00,8.58,3.87
-2001-06-24 19:00:00+00:00,8.22,3.62
-2001-06-24 20:00:00+00:00,8.11,2.83
-2001-06-24 21:00:00+00:00,8.36,2.49
-2001-06-24 22:00:00+00:00,8.17,2.27
-2001-06-24 23:00:00+00:00,8.39,1.99
-2001-06-25 00:00:00+00:00,8.08,2.52
-2001-06-25 01:00:00+00:00,7.74,2.82
-2001-06-25 02:00:00+00:00,7.57,3.2
-2001-06-25 03:00:00+00:00,7.43,3.49
-2001-06-25 04:00:00+00:00,7.33,3.91
-2001-06-25 05:00:00+00:00,7.18,3.26
-2001-06-25 06:00:00+00:00,7.3,2.8
-2001-06-25 07:00:00+00:00,7.57,3.15
-2001-06-25 08:00:00+00:00,7.56,2.72
-2001-06-25 09:00:00+00:00,8.12,2.9
-2001-06-25 10:00:00+00:00,7.62,3.42
-2001-06-25 11:00:00+00:00,7.1,3.73
-2001-06-25 12:00:00+00:00,8.39,3.78
-2001-06-25 13:00:00+00:00,7.02,3.53
-2001-06-25 14:00:00+00:00,5.6,3.64
-2001-06-25 15:00:00+00:00,6.91,4.19
-2001-06-25 16:00:00+00:00,6.67,3.94
-2001-06-25 17:00:00+00:00,6.44,3.91
-2001-06-25 18:00:00+00:00,6.3,3.54
-2001-06-25 19:00:00+00:00,6.14,3.16
-2001-06-25 20:00:00+00:00,5.75,2.87
-2001-06-25 21:00:00+00:00,5.43,2.73
-2001-06-25 22:00:00+00:00,5.49,2.69
-2001-06-25 23:00:00+00:00,5.04,1.82
-2001-06-26 00:00:00+00:00,5.05,2.87
-2001-06-26 01:00:00+00:00,4.66,2.99
-2001-06-26 02:00:00+00:00,4.29,2.42
-2001-06-26 03:00:00+00:00,3.17,2.63
-2001-06-26 04:00:00+00:00,2.7,2.41
-2001-06-26 05:00:00+00:00,3.54,2.78
-2001-06-26 06:00:00+00:00,5.27,2.97
-2001-06-26 07:00:00+00:00,6.65,3.04
-2001-06-26 08:00:00+00:00,6.68,2.99
-2001-06-26 09:00:00+00:00,6.13,2.73
-2001-06-26 10:00:00+00:00,5.98,2.34
-2001-06-26 11:00:00+00:00,5.83,1.86
-2001-06-26 12:00:00+00:00,5.21,1.32
-2001-06-26 13:00:00+00:00,5.06,1.0
-2001-06-26 14:00:00+00:00,3.64,1.23
-2001-06-26 15:00:00+00:00,1.76,2.08
-2001-06-26 16:00:00+00:00,6.98,2.08
-2001-06-26 17:00:00+00:00,5.47,2.23
-2001-06-26 18:00:00+00:00,5.97,1.98
-2001-06-26 19:00:00+00:00,2.76,2.23
-2001-06-26 20:00:00+00:00,4.69,2.4
-2001-06-26 21:00:00+00:00,4.42,2.19
-2001-06-26 22:00:00+00:00,3.72,2.96
-2001-06-26 23:00:00+00:00,2.56,2.51
-2001-06-27 00:00:00+00:00,4.64,3.3
-2001-06-27 01:00:00+00:00,3.85,2.9
-2001-06-27 02:00:00+00:00,4.24,2.87
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-2001-07-10 16:00:00+00:00,1.03,4.89
-2001-07-10 17:00:00+00:00,2.75,4.55
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-2001-07-10 20:00:00+00:00,3.39,4.88
-2001-07-10 21:00:00+00:00,3.32,5.52
-2001-07-10 22:00:00+00:00,3.49,4.94
-2001-07-10 23:00:00+00:00,4.09,4.03
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-2001-07-11 01:00:00+00:00,5.0,3.63
-2001-07-11 02:00:00+00:00,5.53,2.05
-2001-07-11 03:00:00+00:00,6.02,2.58
-2001-07-11 04:00:00+00:00,6.58,2.51
-2001-07-11 05:00:00+00:00,6.58,1.98
-2001-07-11 06:00:00+00:00,6.95,2.27
-2001-07-11 07:00:00+00:00,7.68,2.17
-2001-07-11 08:00:00+00:00,7.84,1.96
-2001-07-11 09:00:00+00:00,8.07,1.92
-2001-07-11 10:00:00+00:00,8.13,6.05
-2001-07-11 11:00:00+00:00,7.69,2.15
-2001-07-11 12:00:00+00:00,6.89,3.7
-2001-07-11 13:00:00+00:00,6.78,4.83
-2001-07-11 14:00:00+00:00,6.46,5.85
-2001-07-11 15:00:00+00:00,6.21,5.99
-2001-07-11 16:00:00+00:00,6.65,6.18
-2001-07-11 17:00:00+00:00,7.9,6.24
-2001-07-11 18:00:00+00:00,8.92,5.99
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-2001-07-12 05:00:00+00:00,8.6,3.63
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-2001-07-12 08:00:00+00:00,9.62,3.5
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-2001-07-12 19:00:00+00:00,6.51,5.43
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-2001-07-12 23:00:00+00:00,4.65,4.02
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-2001-07-13 02:00:00+00:00,4.57,2.95
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-2001-07-13 07:00:00+00:00,6.81,2.54
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-2001-07-13 09:00:00+00:00,6.07,2.16
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-2001-07-13 14:00:00+00:00,1.1,1.89
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-2001-07-13 19:00:00+00:00,0.63,2.78
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-2001-07-14 02:00:00+00:00,3.86,2.74
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-2001-07-14 04:00:00+00:00,5.99,3.11
-2001-07-14 05:00:00+00:00,7.09,3.04
-2001-07-14 06:00:00+00:00,8.91,2.87
-2001-07-14 07:00:00+00:00,6.95,2.52
-2001-07-14 08:00:00+00:00,6.34,1.19
-2001-07-14 09:00:00+00:00,4.9,1.38
-2001-07-14 10:00:00+00:00,4.1,1.96
-2001-07-14 11:00:00+00:00,3.54,2.81
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-2001-07-14 14:00:00+00:00,1.74,5.49
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-2001-07-14 16:00:00+00:00,0.65,5.09
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-2001-07-14 18:00:00+00:00,2.05,5.77
-2001-07-14 19:00:00+00:00,2.53,5.74
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-2001-07-14 21:00:00+00:00,3.22,4.51
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-2001-07-18 04:00:00+00:00,9.18,1.89
-2001-07-18 05:00:00+00:00,8.94,2.3
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-2001-07-19 06:00:00+00:00,6.04,1.54
-2001-07-19 07:00:00+00:00,6.94,1.93
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-2001-07-19 11:00:00+00:00,9.18,2.21
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-2001-07-20 14:00:00+00:00,11.16,1.31
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-2001-07-20 16:00:00+00:00,10.73,2.01
-2001-07-20 17:00:00+00:00,9.92,2.45
-2001-07-20 18:00:00+00:00,9.92,3.16
-2001-07-20 19:00:00+00:00,9.45,3.23
-2001-07-20 20:00:00+00:00,10.0,3.21
-2001-07-20 21:00:00+00:00,8.78,2.44
-2001-07-20 22:00:00+00:00,8.85,2.15
-2001-07-20 23:00:00+00:00,8.08,3.0
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-2001-07-21 07:00:00+00:00,7.41,1.67
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-2001-07-21 19:00:00+00:00,4.3,2.99
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-2001-07-21 21:00:00+00:00,3.19,3.42
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-2001-07-22 09:00:00+00:00,2.16,1.32
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-2001-07-22 11:00:00+00:00,1.74,1.25
-2001-07-22 12:00:00+00:00,2.66,2.01
-2001-07-22 13:00:00+00:00,2.93,2.54
-2001-07-22 14:00:00+00:00,3.09,2.97
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-2001-07-22 16:00:00+00:00,3.13,4.75
-2001-07-22 17:00:00+00:00,3.0,4.61
-2001-07-22 18:00:00+00:00,2.58,4.9
-2001-07-22 19:00:00+00:00,3.27,4.61
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-2001-07-22 21:00:00+00:00,5.16,4.02
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-2001-07-23 02:00:00+00:00,6.09,2.74
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-2001-07-23 04:00:00+00:00,6.11,2.64
-2001-07-23 05:00:00+00:00,6.37,1.92
-2001-07-23 06:00:00+00:00,6.33,2.3
-2001-07-23 07:00:00+00:00,7.93,1.75
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-2001-07-23 09:00:00+00:00,8.34,1.97
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-2001-07-23 11:00:00+00:00,8.99,2.71
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-2001-07-23 16:00:00+00:00,10.99,3.56
-2001-07-23 17:00:00+00:00,6.55,3.96
-2001-07-23 18:00:00+00:00,8.29,4.37
-2001-07-23 19:00:00+00:00,7.61,4.48
-2001-07-23 20:00:00+00:00,7.87,4.44
-2001-07-23 21:00:00+00:00,8.89,4.26
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-2001-07-23 23:00:00+00:00,9.4,3.56
-2001-07-24 00:00:00+00:00,10.07,3.38
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-2001-07-24 02:00:00+00:00,10.42,3.05
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-2001-08-06 22:00:00+00:00,5.58,3.29
-2001-08-06 23:00:00+00:00,5.95,2.64
-2001-08-07 00:00:00+00:00,6.06,2.81
-2001-08-07 01:00:00+00:00,5.55,2.79
-2001-08-07 02:00:00+00:00,6.47,2.88
-2001-08-07 03:00:00+00:00,6.5,2.7
-2001-08-07 04:00:00+00:00,6.69,2.69
-2001-08-07 05:00:00+00:00,6.88,2.01
-2001-08-07 06:00:00+00:00,7.2,2.33
-2001-08-07 07:00:00+00:00,7.71,2.37
-2001-08-07 08:00:00+00:00,7.3,1.78
-2001-08-07 09:00:00+00:00,7.24,0.77
-2001-08-07 10:00:00+00:00,7.7,1.0
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-2001-08-07 13:00:00+00:00,7.85,1.16
-2001-08-07 14:00:00+00:00,8.45,1.16
-2001-08-07 15:00:00+00:00,8.72,2.44
-2001-08-07 16:00:00+00:00,9.03,3.94
-2001-08-07 17:00:00+00:00,9.34,4.62
-2001-08-07 18:00:00+00:00,9.21,4.35
-2001-08-07 19:00:00+00:00,9.78,4.28
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-2001-08-09 02:00:00+00:00,7.34,2.78
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-2001-08-09 04:00:00+00:00,8.75,2.56
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-2001-08-09 11:00:00+00:00,8.65,0.52
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-2001-08-09 18:00:00+00:00,8.0,4.57
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-2001-08-10 03:00:00+00:00,8.65,3.24
-2001-08-10 04:00:00+00:00,8.63,2.62
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-2001-08-10 06:00:00+00:00,9.06,3.37
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-2001-08-10 08:00:00+00:00,10.33,2.52
-2001-08-10 09:00:00+00:00,10.27,2.29
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-2001-08-10 18:00:00+00:00,9.12,4.26
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-2001-08-10 21:00:00+00:00,9.3,2.82
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-2001-08-10 23:00:00+00:00,9.74,3.02
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-2001-08-11 04:00:00+00:00,10.17,2.85
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-2001-08-11 06:00:00+00:00,9.9,3.13
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-2001-08-14 07:00:00+00:00,10.94,3.45
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-2001-08-20 08:00:00+00:00,6.22,2.15
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-2001-08-20 11:00:00+00:00,7.12,2.0
-2001-08-20 12:00:00+00:00,8.86,2.62
-2001-08-20 13:00:00+00:00,8.29,2.61
-2001-08-20 14:00:00+00:00,7.76,3.09
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-2001-08-20 17:00:00+00:00,9.38,5.13
-2001-08-20 18:00:00+00:00,7.76,4.8
-2001-08-20 19:00:00+00:00,7.07,4.93
-2001-08-20 20:00:00+00:00,7.02,4.72
-2001-08-20 21:00:00+00:00,7.57,4.78
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-2001-08-21 04:00:00+00:00,7.74,1.29
-2001-08-21 05:00:00+00:00,7.87,1.52
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-2001-08-23 21:00:00+00:00,5.5,1.85
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-2001-08-24 02:00:00+00:00,5.11,2.46
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-2001-08-24 07:00:00+00:00,5.31,3.08
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-2001-10-13 11:00:00+00:00,13.03,2.2
-2001-10-13 12:00:00+00:00,12.92,1.23
-2001-10-13 13:00:00+00:00,13.15,2.61
-2001-10-13 14:00:00+00:00,12.87,2.79
-2001-10-13 15:00:00+00:00,12.71,3.49
-2001-10-13 16:00:00+00:00,13.1,4.38
-2001-10-13 17:00:00+00:00,12.34,4.67
-2001-10-13 18:00:00+00:00,11.83,4.74
-2001-10-13 19:00:00+00:00,11.52,4.94
-2001-10-13 20:00:00+00:00,11.35,5.01
-2001-10-13 21:00:00+00:00,11.85,4.82
-2001-10-13 22:00:00+00:00,12.2,3.76
-2001-10-13 23:00:00+00:00,12.7,2.91
-2001-10-14 00:00:00+00:00,12.21,2.66
-2001-10-14 01:00:00+00:00,11.88,3.2
-2001-10-14 02:00:00+00:00,11.69,3.99
-2001-10-14 03:00:00+00:00,11.78,3.88
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-2001-10-14 07:00:00+00:00,11.39,3.17
-2001-10-14 08:00:00+00:00,11.96,3.28
-2001-10-14 09:00:00+00:00,11.86,3.05
-2001-10-14 10:00:00+00:00,11.43,2.97
-2001-10-14 11:00:00+00:00,11.08,3.67
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-2001-10-15 18:00:00+00:00,7.46,5.48
-2001-10-15 19:00:00+00:00,7.27,4.97
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-2001-10-16 04:00:00+00:00,6.59,1.75
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-2001-10-16 06:00:00+00:00,5.76,2.48
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-2001-10-16 09:00:00+00:00,7.85,2.93
-2001-10-16 10:00:00+00:00,7.59,3.06
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-2001-10-16 22:00:00+00:00,6.42,5.41
-2001-10-16 23:00:00+00:00,7.46,8.42
-2001-10-17 00:00:00+00:00,7.12,4.8
-2001-10-17 01:00:00+00:00,8.45,2.71
-2001-10-17 02:00:00+00:00,9.51,1.31
-2001-10-17 03:00:00+00:00,9.44,1.73
-2001-10-17 04:00:00+00:00,9.96,2.23
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-2001-10-17 06:00:00+00:00,12.19,4.6
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-2001-10-17 08:00:00+00:00,12.75,4.79
-2001-10-17 09:00:00+00:00,12.86,4.6
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-2001-10-17 11:00:00+00:00,12.47,4.87
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-2001-10-17 13:00:00+00:00,12.19,6.35
-2001-10-17 14:00:00+00:00,12.1,6.67
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-2001-10-17 16:00:00+00:00,12.3,8.49
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-2001-10-18 07:00:00+00:00,14.66,3.07
-2001-10-18 08:00:00+00:00,14.37,3.19
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-2001-10-24 03:00:00+00:00,9.0,3.31
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-2001-10-25 14:00:00+00:00,6.3,7.31
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-2001-10-25 21:00:00+00:00,6.77,6.26
-2001-10-25 22:00:00+00:00,7.36,4.13
-2001-10-25 23:00:00+00:00,7.83,4.42
-2001-10-26 00:00:00+00:00,8.41,3.29
-2001-10-26 01:00:00+00:00,8.7,3.37
-2001-10-26 02:00:00+00:00,9.08,3.53
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-2001-10-26 04:00:00+00:00,8.08,4.48
-2001-10-26 05:00:00+00:00,10.75,4.62
-2001-10-26 06:00:00+00:00,10.7,4.28
-2001-10-26 07:00:00+00:00,10.94,3.14
-2001-10-26 08:00:00+00:00,9.91,2.65
-2001-10-26 09:00:00+00:00,9.03,2.06
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-2001-10-26 11:00:00+00:00,5.29,2.8
-2001-10-26 12:00:00+00:00,3.57,2.96
-2001-10-26 13:00:00+00:00,2.92,5.43
-2001-10-26 14:00:00+00:00,3.54,7.68
-2001-10-26 15:00:00+00:00,4.76,7.66
-2001-10-26 16:00:00+00:00,5.47,8.19
-2001-10-26 17:00:00+00:00,6.52,8.04
-2001-10-26 18:00:00+00:00,7.01,7.54
-2001-10-26 19:00:00+00:00,8.79,6.8
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-2001-10-26 21:00:00+00:00,10.95,6.41
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-2001-11-09 13:00:00+00:00,8.14,4.05
-2001-11-09 14:00:00+00:00,6.59,5.69
-2001-11-09 15:00:00+00:00,7.85,7.28
-2001-11-09 16:00:00+00:00,9.27,8.14
-2001-11-09 17:00:00+00:00,10.15,7.65
-2001-11-09 18:00:00+00:00,11.69,6.95
-2001-11-09 19:00:00+00:00,13.55,6.13
-2001-11-09 20:00:00+00:00,14.28,4.97
-2001-11-09 21:00:00+00:00,14.27,2.88
-2001-11-09 22:00:00+00:00,13.42,2.82
-2001-11-09 23:00:00+00:00,11.62,2.69
-2001-11-10 00:00:00+00:00,12.52,2.46
-2001-11-10 01:00:00+00:00,12.75,2.53
-2001-11-10 02:00:00+00:00,12.52,2.44
-2001-11-10 03:00:00+00:00,12.09,2.37
-2001-11-10 04:00:00+00:00,11.41,2.01
-2001-11-10 05:00:00+00:00,10.54,2.51
-2001-11-10 06:00:00+00:00,10.07,1.84
-2001-11-10 07:00:00+00:00,9.97,1.53
-2001-11-10 08:00:00+00:00,9.09,1.68
-2001-11-10 09:00:00+00:00,8.86,1.91
-2001-11-10 10:00:00+00:00,8.67,2.18
-2001-11-10 11:00:00+00:00,8.64,2.11
-2001-11-10 12:00:00+00:00,8.79,2.34
-2001-11-10 13:00:00+00:00,8.76,3.06
-2001-11-10 14:00:00+00:00,8.75,3.38
-2001-11-10 15:00:00+00:00,8.91,4.03
-2001-11-10 16:00:00+00:00,8.79,4.87
-2001-11-10 17:00:00+00:00,8.39,5.67
-2001-11-10 18:00:00+00:00,7.02,5.82
-2001-11-10 19:00:00+00:00,7.85,5.67
-2001-11-10 20:00:00+00:00,9.13,4.78
-2001-11-10 21:00:00+00:00,8.79,2.4
-2001-11-10 22:00:00+00:00,7.64,1.82
-2001-11-10 23:00:00+00:00,7.78,2.87
-2001-11-11 00:00:00+00:00,8.05,2.88
-2001-11-11 01:00:00+00:00,10.06,2.86
-2001-11-11 02:00:00+00:00,8.94,3.26
-2001-11-11 03:00:00+00:00,10.04,2.95
-2001-11-11 04:00:00+00:00,9.5,0.93
-2001-11-11 05:00:00+00:00,11.57,0.91
-2001-11-11 06:00:00+00:00,12.03,0.65
-2001-11-11 07:00:00+00:00,12.23,2.14
-2001-11-11 08:00:00+00:00,12.53,5.58
-2001-11-11 09:00:00+00:00,12.29,6.95
-2001-11-11 10:00:00+00:00,12.39,7.5
-2001-11-11 11:00:00+00:00,12.92,7.69
-2001-11-11 12:00:00+00:00,13.61,7.42
-2001-11-11 13:00:00+00:00,13.62,9.16
-2001-11-11 14:00:00+00:00,12.7,7.17
-2001-11-11 15:00:00+00:00,13.3,7.29
-2001-11-11 16:00:00+00:00,14.01,6.54
-2001-11-11 17:00:00+00:00,13.05,6.17
-2001-11-11 18:00:00+00:00,13.99,5.89
-2001-11-11 19:00:00+00:00,13.87,5.59
-2001-11-11 20:00:00+00:00,13.75,5.05
-2001-11-11 21:00:00+00:00,14.29,3.65
-2001-11-11 22:00:00+00:00,14.59,2.65
-2001-11-11 23:00:00+00:00,14.53,2.55
-2001-11-12 00:00:00+00:00,14.09,2.41
-2001-11-12 01:00:00+00:00,12.2,2.08
-2001-11-12 02:00:00+00:00,10.95,1.79
-2001-11-12 03:00:00+00:00,10.14,1.1
-2001-11-12 04:00:00+00:00,9.47,1.56
-2001-11-12 05:00:00+00:00,9.08,1.79
-2001-11-12 06:00:00+00:00,8.55,2.31
-2001-11-12 07:00:00+00:00,8.47,2.43
-2001-11-12 08:00:00+00:00,8.08,2.28
-2001-11-12 09:00:00+00:00,9.0,2.31
-2001-11-12 10:00:00+00:00,8.04,2.25
-2001-11-12 11:00:00+00:00,7.48,2.78
-2001-11-12 12:00:00+00:00,7.12,3.94
-2001-11-12 13:00:00+00:00,10.44,6.49
-2001-11-12 14:00:00+00:00,8.09,6.09
-2001-11-12 15:00:00+00:00,12.65,7.12
-2001-11-12 16:00:00+00:00,12.71,7.16
-2001-11-12 17:00:00+00:00,12.41,6.6
-2001-11-12 18:00:00+00:00,13.56,5.87
-2001-11-12 19:00:00+00:00,11.98,5.47
-2001-11-12 20:00:00+00:00,11.83,4.42
-2001-11-12 21:00:00+00:00,12.11,2.73
-2001-11-12 22:00:00+00:00,11.96,2.96
-2001-11-12 23:00:00+00:00,12.41,2.78
-2001-11-13 00:00:00+00:00,11.47,2.66
-2001-11-13 01:00:00+00:00,9.64,2.49
-2001-11-13 02:00:00+00:00,11.26,2.31
-2001-11-13 03:00:00+00:00,10.11,1.84
-2001-11-13 04:00:00+00:00,8.82,1.76
-2001-11-13 05:00:00+00:00,9.26,2.19
-2001-11-13 06:00:00+00:00,8.9,2.15
-2001-11-13 07:00:00+00:00,9.24,1.96
-2001-11-13 08:00:00+00:00,8.52,1.08
-2001-11-13 09:00:00+00:00,8.26,1.3
-2001-11-13 10:00:00+00:00,9.21,1.14
-2001-11-13 11:00:00+00:00,8.24,1.05
-2001-11-13 12:00:00+00:00,7.8,0.54
-2001-11-13 13:00:00+00:00,8.17,1.46
-2001-11-13 14:00:00+00:00,8.45,2.11
-2001-11-13 15:00:00+00:00,8.28,2.91
-2001-11-13 16:00:00+00:00,8.31,3.66
-2001-11-13 17:00:00+00:00,8.35,4.32
-2001-11-13 18:00:00+00:00,8.29,4.48
-2001-11-13 19:00:00+00:00,8.15,4.29
-2001-11-13 20:00:00+00:00,7.9,3.78
-2001-11-13 21:00:00+00:00,7.64,2.78
-2001-11-13 22:00:00+00:00,7.26,3.13
-2001-11-13 23:00:00+00:00,7.05,3.08
-2001-11-14 00:00:00+00:00,6.33,2.98
-2001-11-14 01:00:00+00:00,5.79,3.02
-2001-11-14 02:00:00+00:00,6.88,3.02
-2001-11-14 03:00:00+00:00,6.65,3.31
-2001-11-14 04:00:00+00:00,6.81,3.09
-2001-11-14 05:00:00+00:00,6.49,3.14
-2001-11-14 06:00:00+00:00,5.34,3.32
-2001-11-14 07:00:00+00:00,5.16,3.19
-2001-11-14 08:00:00+00:00,6.38,2.81
-2001-11-14 09:00:00+00:00,5.76,2.61
-2001-11-14 10:00:00+00:00,4.75,2.57
-2001-11-14 11:00:00+00:00,5.18,2.55
-2001-11-14 12:00:00+00:00,3.79,2.45
-2001-11-14 13:00:00+00:00,3.85,2.87
-2001-11-14 14:00:00+00:00,4.49,3.53
-2001-11-14 15:00:00+00:00,4.55,3.6
-2001-11-14 16:00:00+00:00,3.99,3.73
-2001-11-14 17:00:00+00:00,3.05,4.06
-2001-11-14 18:00:00+00:00,4.91,4.48
-2001-11-14 19:00:00+00:00,5.7,4.54
-2001-11-14 20:00:00+00:00,6.4,4.22
-2001-11-14 21:00:00+00:00,6.04,2.76
-2001-11-14 22:00:00+00:00,6.16,2.03
-2001-11-14 23:00:00+00:00,7.61,0.99
-2001-11-15 00:00:00+00:00,7.8,1.36
-2001-11-15 01:00:00+00:00,8.19,1.52
-2001-11-15 02:00:00+00:00,8.73,2.04
-2001-11-15 03:00:00+00:00,9.45,1.74
-2001-11-15 04:00:00+00:00,9.8,1.28
-2001-11-15 05:00:00+00:00,9.34,0.63
-2001-11-15 06:00:00+00:00,6.43,1.3
-2001-11-15 07:00:00+00:00,7.18,0.7
-2001-11-15 08:00:00+00:00,9.13,1.12
-2001-11-15 09:00:00+00:00,9.68,1.34
-2001-11-15 10:00:00+00:00,10.1,1.49
-2001-11-15 11:00:00+00:00,9.85,1.92
-2001-11-15 12:00:00+00:00,8.43,1.21
-2001-11-15 13:00:00+00:00,8.04,1.7
-2001-11-15 14:00:00+00:00,7.37,1.77
-2001-11-15 15:00:00+00:00,7.47,2.58
-2001-11-15 16:00:00+00:00,7.62,3.34
-2001-11-15 17:00:00+00:00,8.42,4.05
-2001-11-15 18:00:00+00:00,7.77,4.34
-2001-11-15 19:00:00+00:00,7.39,4.25
-2001-11-15 20:00:00+00:00,6.81,4.11
-2001-11-15 21:00:00+00:00,6.57,2.22
-2001-11-15 22:00:00+00:00,6.18,1.62
-2001-11-15 23:00:00+00:00,6.64,1.84
-2001-11-16 00:00:00+00:00,6.25,1.85
-2001-11-16 01:00:00+00:00,6.2,2.78
-2001-11-16 02:00:00+00:00,6.85,2.79
-2001-11-16 03:00:00+00:00,6.35,1.34
-2001-11-16 04:00:00+00:00,7.47,1.56
-2001-11-16 05:00:00+00:00,7.46,0.32
-2001-11-16 06:00:00+00:00,7.49,1.3
-2001-11-16 07:00:00+00:00,7.55,1.56
-2001-11-16 08:00:00+00:00,7.55,1.61
-2001-11-16 09:00:00+00:00,7.55,1.4
-2001-11-16 10:00:00+00:00,7.12,1.77
-2001-11-16 11:00:00+00:00,6.62,1.61
-2001-11-16 12:00:00+00:00,6.5,2.02
-2001-11-16 13:00:00+00:00,5.96,1.94
-2001-11-16 14:00:00+00:00,5.53,3.09
-2001-11-16 15:00:00+00:00,5.83,3.55
-2001-11-16 16:00:00+00:00,5.73,4.24
-2001-11-16 17:00:00+00:00,7.93,2.4
-2001-11-16 18:00:00+00:00,7.47,3.94
-2001-11-16 19:00:00+00:00,6.78,4.17
-2001-11-16 20:00:00+00:00,6.52,4.5
-2001-11-16 21:00:00+00:00,6.12,3.4
-2001-11-16 22:00:00+00:00,6.17,3.89
-2001-11-16 23:00:00+00:00,6.64,3.58
-2001-11-17 00:00:00+00:00,6.82,2.96
-2001-11-17 01:00:00+00:00,6.96,2.8
-2001-11-17 02:00:00+00:00,7.56,3.7
-2001-11-17 03:00:00+00:00,7.04,1.04
-2001-11-17 04:00:00+00:00,7.12,1.75
-2001-11-17 05:00:00+00:00,7.27,2.56
-2001-11-17 06:00:00+00:00,7.69,3.76
-2001-11-17 07:00:00+00:00,8.27,3.39
-2001-11-17 08:00:00+00:00,10.24,3.78
-2001-11-17 09:00:00+00:00,10.92,4.38
-2001-11-17 10:00:00+00:00,11.97,4.52
-2001-11-17 11:00:00+00:00,12.98,4.93
-2001-11-17 12:00:00+00:00,13.23,5.07
-2001-11-17 13:00:00+00:00,13.01,4.88
-2001-11-17 14:00:00+00:00,12.75,3.64
-2001-11-17 15:00:00+00:00,12.43,2.66
-2001-11-17 16:00:00+00:00,12.46,1.57
-2001-11-17 17:00:00+00:00,12.49,1.19
-2001-11-17 18:00:00+00:00,12.36,1.24
-2001-11-17 19:00:00+00:00,12.62,1.33
-2001-11-17 20:00:00+00:00,12.48,1.39
-2001-11-17 21:00:00+00:00,12.43,1.17
-2001-11-17 22:00:00+00:00,12.14,2.62
-2001-11-17 23:00:00+00:00,11.94,2.54
-2001-11-18 00:00:00+00:00,11.61,2.13
-2001-11-18 01:00:00+00:00,11.5,1.83
-2001-11-18 02:00:00+00:00,11.33,1.15
-2001-11-18 03:00:00+00:00,10.68,1.63
-2001-11-18 04:00:00+00:00,9.86,2.31
-2001-11-18 05:00:00+00:00,9.37,2.6
-2001-11-18 06:00:00+00:00,8.97,2.53
-2001-11-18 07:00:00+00:00,8.64,2.53
-2001-11-18 08:00:00+00:00,8.58,2.61
-2001-11-18 09:00:00+00:00,8.31,2.47
-2001-11-18 10:00:00+00:00,8.05,2.37
-2001-11-18 11:00:00+00:00,7.69,1.93
-2001-11-18 12:00:00+00:00,7.54,1.98
-2001-11-18 13:00:00+00:00,7.27,2.3
-2001-11-18 14:00:00+00:00,7.1,2.97
-2001-11-18 15:00:00+00:00,6.43,3.59
-2001-11-18 16:00:00+00:00,5.99,4.22
-2001-11-18 17:00:00+00:00,5.36,4.27
-2001-11-18 18:00:00+00:00,5.15,4.12
-2001-11-18 19:00:00+00:00,4.43,3.97
-2001-11-18 20:00:00+00:00,3.34,3.73
-2001-11-18 21:00:00+00:00,2.41,2.62
-2001-11-18 22:00:00+00:00,1.54,3.21
-2001-11-18 23:00:00+00:00,1.28,2.79
-2001-11-19 00:00:00+00:00,2.5,2.81
-2001-11-19 01:00:00+00:00,1.84,2.69
-2001-11-19 02:00:00+00:00,2.4,2.34
-2001-11-19 03:00:00+00:00,2.65,2.57
-2001-11-19 04:00:00+00:00,2.6,2.96
-2001-11-19 05:00:00+00:00,2.95,2.86
-2001-11-19 06:00:00+00:00,2.46,2.48
-2001-11-19 07:00:00+00:00,2.31,2.48
-2001-11-19 08:00:00+00:00,1.89,2.46
-2001-11-19 09:00:00+00:00,2.05,2.49
-2001-11-19 10:00:00+00:00,2.38,2.54
-2001-11-19 11:00:00+00:00,2.54,2.22
-2001-11-19 12:00:00+00:00,2.85,2.28
-2001-11-19 13:00:00+00:00,3.53,3.13
-2001-11-19 14:00:00+00:00,3.22,3.27
-2001-11-19 15:00:00+00:00,4.54,3.49
-2001-11-19 16:00:00+00:00,4.87,3.93
-2001-11-19 17:00:00+00:00,5.29,4.16
-2001-11-19 18:00:00+00:00,5.62,4.59
-2001-11-19 19:00:00+00:00,6.12,5.45
-2001-11-19 20:00:00+00:00,6.36,5.19
-2001-11-19 21:00:00+00:00,6.72,3.45
-2001-11-19 22:00:00+00:00,7.07,2.77
-2001-11-19 23:00:00+00:00,6.57,3.04
-2001-11-20 00:00:00+00:00,7.43,3.7
-2001-11-20 01:00:00+00:00,6.94,3.61
-2001-11-20 02:00:00+00:00,8.75,3.71
-2001-11-20 03:00:00+00:00,8.92,4.37
-2001-11-20 04:00:00+00:00,8.96,4.6
-2001-11-20 05:00:00+00:00,8.86,4.4
-2001-11-20 06:00:00+00:00,9.58,3.76
-2001-11-20 07:00:00+00:00,9.71,6.38
-2001-11-20 08:00:00+00:00,8.55,3.76
-2001-11-20 09:00:00+00:00,9.13,3.46
-2001-11-20 10:00:00+00:00,9.2,3.0
-2001-11-20 11:00:00+00:00,9.85,3.82
-2001-11-20 12:00:00+00:00,10.05,3.84
-2001-11-20 13:00:00+00:00,9.8,5.55
-2001-11-20 14:00:00+00:00,11.38,6.62
-2001-11-20 15:00:00+00:00,9.74,6.57
-2001-11-20 16:00:00+00:00,12.43,6.85
-2001-11-20 17:00:00+00:00,5.03,6.9
-2001-11-20 18:00:00+00:00,7.97,6.77
-2001-11-20 19:00:00+00:00,11.24,6.16
-2001-11-20 20:00:00+00:00,7.36,5.66
-2001-11-20 21:00:00+00:00,13.55,3.97
-2001-11-20 22:00:00+00:00,11.47,3.19
-2001-11-20 23:00:00+00:00,14.2,3.14
-2001-11-21 00:00:00+00:00,13.22,1.91
-2001-11-21 01:00:00+00:00,14.59,2.28
-2001-11-21 02:00:00+00:00,13.7,2.35
-2001-11-21 03:00:00+00:00,13.62,3.43
-2001-11-21 04:00:00+00:00,13.35,2.48
-2001-11-21 05:00:00+00:00,13.31,2.36
-2001-11-21 06:00:00+00:00,12.53,2.41
-2001-11-21 07:00:00+00:00,11.02,2.57
-2001-11-21 08:00:00+00:00,11.0,2.29
-2001-11-21 09:00:00+00:00,11.1,2.13
-2001-11-21 10:00:00+00:00,11.4,2.06
-2001-11-21 11:00:00+00:00,9.85,2.06
-2001-11-21 12:00:00+00:00,9.55,1.99
-2001-11-21 13:00:00+00:00,7.65,0.77
-2001-11-21 14:00:00+00:00,7.94,2.22
-2001-11-21 15:00:00+00:00,7.54,3.1
-2001-11-21 16:00:00+00:00,7.5,4.03
-2001-11-21 17:00:00+00:00,7.82,4.27
-2001-11-21 18:00:00+00:00,6.96,4.68
-2001-11-21 19:00:00+00:00,7.24,5.09
-2001-11-21 20:00:00+00:00,6.63,4.66
-2001-11-21 21:00:00+00:00,6.11,3.34
-2001-11-21 22:00:00+00:00,6.7,2.82
-2001-11-21 23:00:00+00:00,4.46,2.75
-2001-11-22 00:00:00+00:00,4.97,2.74
-2001-11-22 01:00:00+00:00,4.13,2.5
-2001-11-22 02:00:00+00:00,3.85,2.58
-2001-11-22 03:00:00+00:00,3.88,2.98
-2001-11-22 04:00:00+00:00,3.11,2.47
-2001-11-22 05:00:00+00:00,4.49,1.86
-2001-11-22 06:00:00+00:00,4.27,1.4
-2001-11-22 07:00:00+00:00,5.62,1.31
-2001-11-22 08:00:00+00:00,4.75,1.07
-2001-11-22 09:00:00+00:00,4.21,0.85
-2001-11-22 10:00:00+00:00,3.31,0.85
-2001-11-22 11:00:00+00:00,4.76,0.85
-2001-11-22 12:00:00+00:00,4.95,1.02
-2001-11-22 13:00:00+00:00,3.43,1.75
-2001-11-22 14:00:00+00:00,3.47,1.35
-2001-11-22 15:00:00+00:00,3.27,1.65
-2001-11-22 16:00:00+00:00,3.98,2.14
-2001-11-22 17:00:00+00:00,2.27,2.61
-2001-11-22 18:00:00+00:00,4.42,3.08
-2001-11-22 19:00:00+00:00,3.7,3.09
-2001-11-22 20:00:00+00:00,3.51,2.36
-2001-11-22 21:00:00+00:00,4.1,2.01
-2001-11-22 22:00:00+00:00,3.85,2.69
-2001-11-22 23:00:00+00:00,2.45,2.72
-2001-11-23 00:00:00+00:00,3.24,2.09
-2001-11-23 01:00:00+00:00,2.58,0.27
-2001-11-23 02:00:00+00:00,1.99,0.36
-2001-11-23 03:00:00+00:00,2.76,1.21
-2001-11-23 04:00:00+00:00,2.18,1.71
-2001-11-23 05:00:00+00:00,1.93,1.87
-2001-11-23 06:00:00+00:00,1.28,2.33
-2001-11-23 07:00:00+00:00,0.67,2.43
-2001-11-23 08:00:00+00:00,0.53,2.55
-2001-11-23 09:00:00+00:00,0.96,2.74
-2001-11-23 10:00:00+00:00,1.5,2.8
-2001-11-23 11:00:00+00:00,1.53,2.84
-2001-11-23 12:00:00+00:00,1.41,2.64
-2001-11-23 13:00:00+00:00,1.57,1.58
-2001-11-23 14:00:00+00:00,1.69,0.42
-2001-11-23 15:00:00+00:00,1.66,1.57
-2001-11-23 16:00:00+00:00,1.54,2.95
-2001-11-23 17:00:00+00:00,1.2,4.72
-2001-11-23 18:00:00+00:00,1.64,4.57
-2001-11-23 19:00:00+00:00,2.11,4.31
-2001-11-23 20:00:00+00:00,2.21,3.71
-2001-11-23 21:00:00+00:00,2.86,2.71
-2001-11-23 22:00:00+00:00,2.74,2.44
-2001-11-23 23:00:00+00:00,3.09,1.86
-2001-11-24 00:00:00+00:00,3.31,1.27
-2001-11-24 01:00:00+00:00,2.9,0.93
-2001-11-24 02:00:00+00:00,2.72,1.14
-2001-11-24 03:00:00+00:00,2.94,0.63
-2001-11-24 04:00:00+00:00,3.67,1.13
-2001-11-24 05:00:00+00:00,4.57,1.47
-2001-11-24 06:00:00+00:00,4.18,1.61
-2001-11-24 07:00:00+00:00,3.96,2.0
-2001-11-24 08:00:00+00:00,4.78,2.01
-2001-11-24 09:00:00+00:00,5.09,2.22
-2001-11-24 10:00:00+00:00,5.63,2.07
-2001-11-24 11:00:00+00:00,5.4,1.93
-2001-11-24 12:00:00+00:00,6.27,2.01
-2001-11-24 13:00:00+00:00,6.7,1.77
-2001-11-24 14:00:00+00:00,6.37,0.86
-2001-11-24 15:00:00+00:00,6.87,1.99
-2001-11-24 16:00:00+00:00,7.04,0.73
-2001-11-24 17:00:00+00:00,6.91,3.9
-2001-11-24 18:00:00+00:00,7.12,4.4
-2001-11-24 19:00:00+00:00,7.73,4.53
-2001-11-24 20:00:00+00:00,7.98,4.57
-2001-11-24 21:00:00+00:00,7.58,3.3
-2001-11-24 22:00:00+00:00,8.01,2.6
-2001-11-24 23:00:00+00:00,7.65,2.7
-2001-11-25 00:00:00+00:00,7.7,3.93
-2001-11-25 01:00:00+00:00,7.76,3.67
-2001-11-25 02:00:00+00:00,7.16,3.72
-2001-11-25 03:00:00+00:00,7.51,3.93
-2001-11-25 04:00:00+00:00,6.75,3.85
-2001-11-25 05:00:00+00:00,6.9,3.88
-2001-11-25 06:00:00+00:00,7.54,4.82
-2001-11-25 07:00:00+00:00,7.44,5.28
-2001-11-25 08:00:00+00:00,7.25,4.73
-2001-11-25 09:00:00+00:00,7.69,5.03
-2001-11-25 10:00:00+00:00,8.04,5.93
-2001-11-25 11:00:00+00:00,7.63,4.66
-2001-11-25 12:00:00+00:00,7.08,4.06
-2001-11-25 13:00:00+00:00,7.77,5.34
-2001-11-25 14:00:00+00:00,6.72,6.84
-2001-11-25 15:00:00+00:00,6.44,4.16
-2001-11-25 16:00:00+00:00,5.53,4.69
-2001-11-25 17:00:00+00:00,6.29,6.03
-2001-11-25 18:00:00+00:00,7.12,7.88
-2001-11-25 19:00:00+00:00,7.16,7.38
-2001-11-25 20:00:00+00:00,5.75,6.0
-2001-11-25 21:00:00+00:00,6.26,6.21
-2001-11-25 22:00:00+00:00,6.4,4.89
-2001-11-25 23:00:00+00:00,6.54,3.21
-2001-11-26 00:00:00+00:00,7.03,1.65
-2001-11-26 01:00:00+00:00,7.57,3.63
-2001-11-26 02:00:00+00:00,5.37,2.61
-2001-11-26 03:00:00+00:00,5.29,2.56
-2001-11-26 04:00:00+00:00,5.99,2.4
-2001-11-26 05:00:00+00:00,5.8,2.23
-2001-11-26 06:00:00+00:00,4.83,2.19
-2001-11-26 07:00:00+00:00,2.32,2.38
-2001-11-26 08:00:00+00:00,2.34,2.32
-2001-11-26 09:00:00+00:00,1.89,2.04
-2001-11-26 10:00:00+00:00,3.01,2.58
-2001-11-26 11:00:00+00:00,2.02,2.93
-2001-11-26 12:00:00+00:00,2.03,2.58
-2001-11-26 13:00:00+00:00,2.44,2.78
-2001-11-26 14:00:00+00:00,1.73,2.83
-2001-11-26 15:00:00+00:00,2.17,1.48
-2001-11-26 16:00:00+00:00,2.2,1.17
-2001-11-26 17:00:00+00:00,1.66,2.35
-2001-11-26 18:00:00+00:00,1.6,3.16
-2001-11-26 19:00:00+00:00,1.74,3.1
-2001-11-26 20:00:00+00:00,1.63,3.45
-2001-11-26 21:00:00+00:00,1.98,2.13
-2001-11-26 22:00:00+00:00,2.65,2.52
-2001-11-26 23:00:00+00:00,3.32,2.54
-2001-11-27 00:00:00+00:00,3.37,2.38
-2001-11-27 01:00:00+00:00,3.09,2.7
-2001-11-27 02:00:00+00:00,4.64,2.48
-2001-11-27 03:00:00+00:00,3.86,2.48
-2001-11-27 04:00:00+00:00,3.52,2.13
-2001-11-27 05:00:00+00:00,2.51,2.66
-2001-11-27 06:00:00+00:00,3.14,2.7
-2001-11-27 07:00:00+00:00,4.4,2.54
-2001-11-27 08:00:00+00:00,6.48,2.45
-2001-11-27 09:00:00+00:00,6.77,2.51
-2001-11-27 10:00:00+00:00,5.82,2.29
-2001-11-27 11:00:00+00:00,5.98,2.24
-2001-11-27 12:00:00+00:00,5.91,2.17
-2001-11-27 13:00:00+00:00,5.78,0.4
-2001-11-27 14:00:00+00:00,6.26,0.69
-2001-11-27 15:00:00+00:00,5.82,1.6
-2001-11-27 16:00:00+00:00,5.53,2.05
-2001-11-27 17:00:00+00:00,5.39,2.42
-2001-11-27 18:00:00+00:00,6.48,3.49
-2001-11-27 19:00:00+00:00,5.67,4.99
-2001-11-27 20:00:00+00:00,5.56,5.12
-2001-11-27 21:00:00+00:00,6.01,2.73
-2001-11-27 22:00:00+00:00,4.23,2.11
-2001-11-27 23:00:00+00:00,4.42,1.92
-2001-11-28 00:00:00+00:00,4.78,2.93
-2001-11-28 01:00:00+00:00,4.86,3.36
-2001-11-28 02:00:00+00:00,4.84,3.19
-2001-11-28 03:00:00+00:00,3.28,2.19
-2001-11-28 04:00:00+00:00,3.49,1.06
-2001-11-28 05:00:00+00:00,4.11,1.17
-2001-11-28 06:00:00+00:00,5.41,1.76
-2001-11-28 07:00:00+00:00,4.49,1.72
-2001-11-28 08:00:00+00:00,6.35,1.69
-2001-11-28 09:00:00+00:00,6.14,1.99
-2001-11-28 10:00:00+00:00,5.15,2.33
-2001-11-28 11:00:00+00:00,5.12,2.86
-2001-11-28 12:00:00+00:00,4.84,2.21
-2001-11-28 13:00:00+00:00,4.55,1.82
-2001-11-28 14:00:00+00:00,4.79,2.01
-2001-11-28 15:00:00+00:00,5.45,2.71
-2001-11-28 16:00:00+00:00,6.38,2.63
-2001-11-28 17:00:00+00:00,7.23,2.98
-2001-11-28 18:00:00+00:00,8.2,3.55
-2001-11-28 19:00:00+00:00,8.58,3.13
-2001-11-28 20:00:00+00:00,8.24,2.7
-2001-11-28 21:00:00+00:00,7.95,2.08
-2001-11-28 22:00:00+00:00,7.82,2.81
-2001-11-28 23:00:00+00:00,7.69,2.72
-2001-11-29 00:00:00+00:00,6.77,2.83
-2001-11-29 01:00:00+00:00,7.25,2.4
-2001-11-29 02:00:00+00:00,7.7,1.61
-2001-11-29 03:00:00+00:00,7.92,1.84
-2001-11-29 04:00:00+00:00,8.44,1.97
-2001-11-29 05:00:00+00:00,7.79,2.05
-2001-11-29 06:00:00+00:00,7.43,2.34
-2001-11-29 07:00:00+00:00,6.87,2.91
-2001-11-29 08:00:00+00:00,6.43,3.65
-2001-11-29 09:00:00+00:00,7.66,1.54
-2001-11-29 10:00:00+00:00,6.27,0.64
-2001-11-29 11:00:00+00:00,6.68,1.38
-2001-11-29 12:00:00+00:00,5.84,1.9
-2001-11-29 13:00:00+00:00,5.14,2.19
-2001-11-29 14:00:00+00:00,4.86,4.24
-2001-11-29 15:00:00+00:00,4.86,4.77
-2001-11-29 16:00:00+00:00,4.24,4.45
-2001-11-29 17:00:00+00:00,5.47,3.15
-2001-11-29 18:00:00+00:00,5.77,2.04
-2001-11-29 19:00:00+00:00,7.2,2.08
-2001-11-29 20:00:00+00:00,6.12,1.8
-2001-11-29 21:00:00+00:00,5.99,2.36
-2001-11-29 22:00:00+00:00,6.64,2.48
-2001-11-29 23:00:00+00:00,7.45,2.59
-2001-11-30 00:00:00+00:00,7.36,2.87
-2001-11-30 01:00:00+00:00,7.0,3.33
-2001-11-30 02:00:00+00:00,7.21,3.04
-2001-11-30 03:00:00+00:00,7.71,2.87
-2001-11-30 04:00:00+00:00,7.75,2.44
-2001-11-30 05:00:00+00:00,6.99,2.69
-2001-11-30 06:00:00+00:00,7.21,3.02
-2001-11-30 07:00:00+00:00,7.1,3.23
-2001-11-30 08:00:00+00:00,7.06,3.15
-2001-11-30 09:00:00+00:00,8.0,3.59
-2001-11-30 10:00:00+00:00,7.09,4.12
-2001-11-30 11:00:00+00:00,7.13,4.48
-2001-11-30 12:00:00+00:00,5.98,3.93
-2001-11-30 13:00:00+00:00,6.52,3.17
-2001-11-30 14:00:00+00:00,6.07,4.33
-2001-11-30 15:00:00+00:00,5.33,6.52
-2001-11-30 16:00:00+00:00,5.98,7.99
-2001-11-30 17:00:00+00:00,5.38,4.8
-2001-11-30 18:00:00+00:00,4.68,7.75
-2001-11-30 19:00:00+00:00,4.63,5.17
-2001-11-30 20:00:00+00:00,4.54,5.22
-2001-11-30 21:00:00+00:00,4.62,5.4
-2001-11-30 22:00:00+00:00,4.99,4.92
-2001-11-30 23:00:00+00:00,3.81,4.88
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-2001-12-01 01:00:00+00:00,5.44,5.47
-2001-12-01 02:00:00+00:00,5.44,2.22
-2001-12-01 03:00:00+00:00,5.99,1.46
-2001-12-01 04:00:00+00:00,6.23,0.79
-2001-12-01 05:00:00+00:00,6.74,1.46
-2001-12-01 06:00:00+00:00,5.46,1.26
-2001-12-01 07:00:00+00:00,5.66,0.93
-2001-12-01 08:00:00+00:00,5.04,0.67
-2001-12-01 09:00:00+00:00,5.83,1.15
-2001-12-01 10:00:00+00:00,4.97,1.33
-2001-12-01 11:00:00+00:00,4.82,0.91
-2001-12-01 12:00:00+00:00,4.49,0.76
-2001-12-01 13:00:00+00:00,4.76,1.77
-2001-12-01 14:00:00+00:00,4.94,3.02
-2001-12-01 15:00:00+00:00,5.28,3.79
-2001-12-01 16:00:00+00:00,5.3,4.81
-2001-12-01 17:00:00+00:00,5.15,5.57
-2001-12-01 18:00:00+00:00,4.98,5.43
-2001-12-01 19:00:00+00:00,4.77,4.68
-2001-12-01 20:00:00+00:00,4.94,4.64
-2001-12-01 21:00:00+00:00,5.18,3.18
-2001-12-01 22:00:00+00:00,4.94,3.11
-2001-12-01 23:00:00+00:00,4.52,3.03
-2001-12-02 00:00:00+00:00,4.42,3.14
-2001-12-02 01:00:00+00:00,4.31,3.22
-2001-12-02 02:00:00+00:00,4.07,3.16
-2001-12-02 03:00:00+00:00,3.81,3.04
-2001-12-02 04:00:00+00:00,3.22,2.76
-2001-12-02 05:00:00+00:00,2.76,2.65
-2001-12-02 06:00:00+00:00,4.16,2.59
-2001-12-02 07:00:00+00:00,5.94,2.59
-2001-12-02 08:00:00+00:00,6.72,2.52
-2001-12-02 09:00:00+00:00,6.73,2.36
-2001-12-02 10:00:00+00:00,6.21,2.15
-2001-12-02 11:00:00+00:00,5.05,2.23
-2001-12-02 12:00:00+00:00,4.26,2.08
-2001-12-02 13:00:00+00:00,4.23,1.03
-2001-12-02 14:00:00+00:00,2.96,0.86
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-2001-12-02 16:00:00+00:00,2.33,2.15
-2001-12-02 17:00:00+00:00,3.99,2.42
-2001-12-02 18:00:00+00:00,4.51,2.15
-2001-12-02 19:00:00+00:00,4.67,2.21
-2001-12-02 20:00:00+00:00,5.84,2.44
-2001-12-02 21:00:00+00:00,5.91,2.2
-2001-12-02 22:00:00+00:00,6.35,2.79
-2001-12-02 23:00:00+00:00,8.15,2.76
-2001-12-03 00:00:00+00:00,8.2,2.41
-2001-12-03 01:00:00+00:00,6.4,2.47
-2001-12-03 02:00:00+00:00,6.99,2.33
-2001-12-03 03:00:00+00:00,7.25,1.96
-2001-12-03 04:00:00+00:00,7.14,1.66
-2001-12-03 05:00:00+00:00,9.57,1.28
-2001-12-03 06:00:00+00:00,10.09,0.97
-2001-12-03 07:00:00+00:00,10.11,1.22
-2001-12-03 08:00:00+00:00,10.36,2.28
-2001-12-03 09:00:00+00:00,10.03,1.12
-2001-12-03 10:00:00+00:00,9.87,0.98
-2001-12-03 11:00:00+00:00,9.11,2.38
-2001-12-03 12:00:00+00:00,8.94,2.28
-2001-12-03 13:00:00+00:00,8.57,1.36
-2001-12-03 14:00:00+00:00,8.61,3.85
-2001-12-03 15:00:00+00:00,8.09,4.7
-2001-12-03 16:00:00+00:00,6.97,5.37
-2001-12-03 17:00:00+00:00,5.85,5.72
-2001-12-03 18:00:00+00:00,5.93,6.27
-2001-12-03 19:00:00+00:00,4.91,5.82
-2001-12-03 20:00:00+00:00,3.72,5.01
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-2001-12-04 02:00:00+00:00,2.1,2.71
-2001-12-04 03:00:00+00:00,2.5,2.72
-2001-12-04 04:00:00+00:00,3.48,2.71
-2001-12-04 05:00:00+00:00,3.62,2.58
-2001-12-04 06:00:00+00:00,5.29,2.04
-2001-12-04 07:00:00+00:00,5.36,0.52
-2001-12-04 08:00:00+00:00,7.21,0.99
-2001-12-04 09:00:00+00:00,7.67,2.37
-2001-12-04 10:00:00+00:00,7.32,2.36
-2001-12-04 11:00:00+00:00,7.25,2.36
-2001-12-04 12:00:00+00:00,7.35,2.37
-2001-12-04 13:00:00+00:00,6.85,1.54
-2001-12-04 14:00:00+00:00,6.79,1.01
-2001-12-04 15:00:00+00:00,6.21,1.48
-2001-12-04 16:00:00+00:00,6.39,2.0
-2001-12-04 17:00:00+00:00,6.6,2.7
-2001-12-04 18:00:00+00:00,6.4,2.98
-2001-12-04 19:00:00+00:00,6.14,3.16
-2001-12-04 20:00:00+00:00,5.39,2.89
-2001-12-04 21:00:00+00:00,5.02,2.48
-2001-12-04 22:00:00+00:00,5.41,2.78
-2001-12-04 23:00:00+00:00,5.5,2.72
-2001-12-05 00:00:00+00:00,4.81,2.41
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-2001-12-05 02:00:00+00:00,3.58,1.53
-2001-12-05 03:00:00+00:00,2.83,1.43
-2001-12-05 04:00:00+00:00,2.16,1.85
-2001-12-05 05:00:00+00:00,0.88,2.8
-2001-12-05 06:00:00+00:00,0.86,2.49
-2001-12-05 07:00:00+00:00,2.23,2.62
-2001-12-05 08:00:00+00:00,3.45,2.6
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-2001-12-05 10:00:00+00:00,3.97,2.53
-2001-12-05 11:00:00+00:00,5.95,2.01
-2001-12-05 12:00:00+00:00,7.49,2.21
-2001-12-05 13:00:00+00:00,6.22,2.13
-2001-12-05 14:00:00+00:00,6.67,1.06
-2001-12-05 15:00:00+00:00,6.78,1.87
-2001-12-05 16:00:00+00:00,7.46,3.04
-2001-12-05 17:00:00+00:00,8.47,3.23
-2001-12-05 18:00:00+00:00,8.26,3.27
-2001-12-05 19:00:00+00:00,8.87,3.35
-2001-12-05 20:00:00+00:00,8.8,3.11
-2001-12-05 21:00:00+00:00,9.8,1.97
-2001-12-05 22:00:00+00:00,9.67,1.75
-2001-12-05 23:00:00+00:00,9.76,1.35
-2001-12-06 00:00:00+00:00,9.06,1.57
-2001-12-06 01:00:00+00:00,8.14,1.98
-2001-12-06 02:00:00+00:00,7.42,2.13
-2001-12-06 03:00:00+00:00,6.99,1.97
-2001-12-06 04:00:00+00:00,6.69,2.49
-2001-12-06 05:00:00+00:00,6.73,2.4
-2001-12-06 06:00:00+00:00,6.15,2.65
-2001-12-06 07:00:00+00:00,5.8,2.85
-2001-12-06 08:00:00+00:00,6.34,2.53
-2001-12-06 09:00:00+00:00,6.7,2.34
-2001-12-06 10:00:00+00:00,6.88,1.65
-2001-12-06 11:00:00+00:00,7.22,2.06
-2001-12-06 12:00:00+00:00,7.95,1.58
-2001-12-06 13:00:00+00:00,8.37,1.87
-2001-12-06 14:00:00+00:00,8.15,2.76
-2001-12-06 15:00:00+00:00,8.51,3.56
-2001-12-06 16:00:00+00:00,8.98,3.14
-2001-12-06 17:00:00+00:00,9.63,4.17
-2001-12-06 18:00:00+00:00,10.34,4.38
-2001-12-06 19:00:00+00:00,10.65,4.42
-2001-12-06 20:00:00+00:00,10.44,3.08
-2001-12-06 21:00:00+00:00,10.4,4.05
-2001-12-06 22:00:00+00:00,10.32,4.03
-2001-12-06 23:00:00+00:00,12.41,3.59
-2001-12-07 00:00:00+00:00,14.22,2.98
-2001-12-07 01:00:00+00:00,14.75,2.09
-2001-12-07 02:00:00+00:00,14.39,1.55
-2001-12-07 03:00:00+00:00,14.3,1.51
-2001-12-07 04:00:00+00:00,14.67,1.63
-2001-12-07 05:00:00+00:00,14.6,1.74
-2001-12-07 06:00:00+00:00,15.44,1.31
-2001-12-07 07:00:00+00:00,13.75,1.25
-2001-12-07 08:00:00+00:00,14.05,1.48
-2001-12-07 09:00:00+00:00,12.11,2.03
-2001-12-07 10:00:00+00:00,10.71,1.39
-2001-12-07 11:00:00+00:00,10.34,1.81
-2001-12-07 12:00:00+00:00,10.58,1.1
-2001-12-07 13:00:00+00:00,10.39,1.23
-2001-12-07 14:00:00+00:00,11.23,2.38
-2001-12-07 15:00:00+00:00,11.12,2.98
-2001-12-07 16:00:00+00:00,11.32,4.24
-2001-12-07 17:00:00+00:00,11.27,5.72
-2001-12-07 18:00:00+00:00,11.13,5.69
-2001-12-07 19:00:00+00:00,12.13,4.61
-2001-12-07 20:00:00+00:00,10.95,4.21
-2001-12-07 21:00:00+00:00,10.88,3.04
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-2001-12-07 23:00:00+00:00,9.39,3.23
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-2001-12-08 01:00:00+00:00,8.92,3.04
-2001-12-08 02:00:00+00:00,8.6,2.99
-2001-12-08 03:00:00+00:00,7.24,2.86
-2001-12-08 04:00:00+00:00,7.74,2.52
-2001-12-08 05:00:00+00:00,7.97,2.35
-2001-12-08 06:00:00+00:00,8.21,2.24
-2001-12-08 07:00:00+00:00,8.23,2.19
-2001-12-08 08:00:00+00:00,8.62,1.78
-2001-12-08 09:00:00+00:00,8.49,2.11
-2001-12-08 10:00:00+00:00,8.54,2.24
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-2001-12-08 12:00:00+00:00,6.88,2.55
-2001-12-08 13:00:00+00:00,6.23,2.79
-2001-12-08 14:00:00+00:00,5.2,2.47
-2001-12-08 15:00:00+00:00,5.15,2.09
-2001-12-08 16:00:00+00:00,3.91,1.76
-2001-12-08 17:00:00+00:00,3.79,1.62
-2001-12-08 18:00:00+00:00,3.7,1.32
-2001-12-08 19:00:00+00:00,3.55,1.28
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-2001-12-08 21:00:00+00:00,4.38,3.15
-2001-12-08 22:00:00+00:00,4.26,1.66
-2001-12-08 23:00:00+00:00,4.39,2.87
-2001-12-09 00:00:00+00:00,5.52,3.16
-2001-12-09 01:00:00+00:00,6.75,2.98
-2001-12-09 02:00:00+00:00,7.33,2.97
-2001-12-09 03:00:00+00:00,8.13,2.68
-2001-12-09 04:00:00+00:00,9.97,2.44
-2001-12-09 05:00:00+00:00,11.15,2.05
-2001-12-09 06:00:00+00:00,11.22,1.65
-2001-12-09 07:00:00+00:00,12.74,1.71
-2001-12-09 08:00:00+00:00,12.59,1.54
-2001-12-09 09:00:00+00:00,13.17,1.68
-2001-12-09 10:00:00+00:00,12.5,1.72
-2001-12-09 11:00:00+00:00,11.08,1.35
-2001-12-09 12:00:00+00:00,15.88,1.31
-2001-12-09 13:00:00+00:00,16.16,2.29
-2001-12-09 14:00:00+00:00,12.71,4.76
-2001-12-09 15:00:00+00:00,21.06,4.81
-2001-12-09 16:00:00+00:00,13.29,5.89
-2001-12-09 17:00:00+00:00,12.68,6.06
-2001-12-09 18:00:00+00:00,9.2,5.79
-2001-12-09 19:00:00+00:00,13.75,4.84
-2001-12-09 20:00:00+00:00,15.48,3.93
-2001-12-09 21:00:00+00:00,16.08,2.39
-2001-12-09 22:00:00+00:00,16.34,4.14
-2001-12-09 23:00:00+00:00,16.03,2.27
-2001-12-10 00:00:00+00:00,15.48,2.66
-2001-12-10 01:00:00+00:00,15.57,2.91
-2001-12-10 02:00:00+00:00,15.28,2.48
-2001-12-10 03:00:00+00:00,15.06,2.17
-2001-12-10 04:00:00+00:00,14.47,2.5
-2001-12-10 05:00:00+00:00,13.65,1.82
-2001-12-10 06:00:00+00:00,12.28,1.34
-2001-12-10 07:00:00+00:00,11.66,0.93
-2001-12-10 08:00:00+00:00,11.41,0.64
-2001-12-10 09:00:00+00:00,11.1,1.5
-2001-12-10 10:00:00+00:00,10.47,2.2
-2001-12-10 11:00:00+00:00,9.94,2.26
-2001-12-10 12:00:00+00:00,8.95,2.44
-2001-12-10 13:00:00+00:00,7.63,1.48
-2001-12-10 14:00:00+00:00,6.38,1.68
-2001-12-10 15:00:00+00:00,5.93,2.86
-2001-12-10 16:00:00+00:00,5.69,2.91
-2001-12-10 17:00:00+00:00,5.09,4.25
-2001-12-10 18:00:00+00:00,4.13,4.27
-2001-12-10 19:00:00+00:00,3.58,3.82
-2001-12-10 20:00:00+00:00,2.88,2.89
-2001-12-10 21:00:00+00:00,3.06,2.66
-2001-12-10 22:00:00+00:00,2.79,2.11
-2001-12-10 23:00:00+00:00,3.46,1.9
-2001-12-11 00:00:00+00:00,2.83,1.88
-2001-12-11 01:00:00+00:00,3.46,2.08
-2001-12-11 02:00:00+00:00,1.29,2.5
-2001-12-11 03:00:00+00:00,3.55,2.59
-2001-12-11 04:00:00+00:00,3.2,2.41
-2001-12-11 05:00:00+00:00,3.9,1.72
-2001-12-11 06:00:00+00:00,3.72,1.1
-2001-12-11 07:00:00+00:00,4.95,0.91
-2001-12-11 08:00:00+00:00,6.85,1.46
-2001-12-11 09:00:00+00:00,7.16,0.73
-2001-12-11 10:00:00+00:00,7.18,0.09
-2001-12-11 11:00:00+00:00,6.9,0.58
-2001-12-11 12:00:00+00:00,5.87,1.61
-2001-12-11 13:00:00+00:00,4.07,2.1
-2001-12-11 14:00:00+00:00,4.85,2.85
-2001-12-11 15:00:00+00:00,8.92,2.96
-2001-12-11 16:00:00+00:00,4.44,3.2
-2001-12-11 17:00:00+00:00,2.0,3.56
-2001-12-11 18:00:00+00:00,5.43,3.63
-2001-12-11 19:00:00+00:00,5.56,3.05
-2001-12-11 20:00:00+00:00,4.96,2.55
-2001-12-11 21:00:00+00:00,4.09,3.08
-2001-12-11 22:00:00+00:00,5.14,4.56
-2001-12-11 23:00:00+00:00,3.76,4.54
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-2001-12-12 01:00:00+00:00,7.84,4.04
-2001-12-12 02:00:00+00:00,8.67,3.7
-2001-12-12 03:00:00+00:00,7.1,3.7
-2001-12-12 04:00:00+00:00,9.2,3.53
-2001-12-12 05:00:00+00:00,10.21,3.31
-2001-12-12 06:00:00+00:00,10.61,3.48
-2001-12-12 07:00:00+00:00,11.44,3.43
-2001-12-12 08:00:00+00:00,10.25,2.9
-2001-12-12 09:00:00+00:00,11.35,2.48
-2001-12-12 10:00:00+00:00,12.45,2.18
-2001-12-12 11:00:00+00:00,13.21,1.9
-2001-12-12 12:00:00+00:00,13.15,3.03
-2001-12-12 13:00:00+00:00,12.77,3.01
-2001-12-12 14:00:00+00:00,12.46,3.36
-2001-12-12 15:00:00+00:00,12.12,2.58
-2001-12-12 16:00:00+00:00,11.83,1.63
-2001-12-12 17:00:00+00:00,11.54,2.35
-2001-12-12 18:00:00+00:00,11.6,2.37
-2001-12-12 19:00:00+00:00,11.77,3.67
-2001-12-12 20:00:00+00:00,11.9,3.38
-2001-12-12 21:00:00+00:00,12.18,2.86
-2001-12-12 22:00:00+00:00,11.41,2.48
-2001-12-12 23:00:00+00:00,10.78,2.07
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-2001-12-13 01:00:00+00:00,11.21,2.27
-2001-12-13 02:00:00+00:00,10.92,1.5
-2001-12-13 03:00:00+00:00,10.75,0.51
-2001-12-13 04:00:00+00:00,9.71,1.06
-2001-12-13 05:00:00+00:00,9.99,1.81
-2001-12-13 06:00:00+00:00,10.4,2.55
-2001-12-13 07:00:00+00:00,10.09,3.28
-2001-12-13 08:00:00+00:00,6.82,3.2
-2001-12-13 09:00:00+00:00,4.29,3.26
-2001-12-13 10:00:00+00:00,4.06,3.21
-2001-12-13 11:00:00+00:00,3.41,4.2
-2001-12-13 12:00:00+00:00,2.66,3.72
-2001-12-13 13:00:00+00:00,3.18,3.67
-2001-12-13 14:00:00+00:00,2.75,3.49
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-2001-12-13 16:00:00+00:00,2.73,4.56
-2001-12-13 17:00:00+00:00,2.75,4.46
-2001-12-13 18:00:00+00:00,3.54,3.95
-2001-12-13 19:00:00+00:00,3.75,2.87
-2001-12-13 20:00:00+00:00,4.64,1.31
-2001-12-13 21:00:00+00:00,6.16,1.66
-2001-12-13 22:00:00+00:00,7.0,0.73
-2001-12-13 23:00:00+00:00,6.06,0.85
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-2001-12-14 01:00:00+00:00,8.57,1.02
-2001-12-14 02:00:00+00:00,9.19,1.9
-2001-12-14 03:00:00+00:00,9.96,2.44
-2001-12-14 04:00:00+00:00,8.45,2.82
-2001-12-14 05:00:00+00:00,8.77,2.75
-2001-12-14 06:00:00+00:00,10.39,2.2
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-2001-12-14 08:00:00+00:00,10.82,2.13
-2001-12-14 09:00:00+00:00,10.05,2.17
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-2001-12-14 13:00:00+00:00,7.67,1.22
-2001-12-14 14:00:00+00:00,6.2,1.25
-2001-12-14 15:00:00+00:00,3.92,1.74
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-2001-12-14 17:00:00+00:00,4.34,2.29
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-2001-12-14 19:00:00+00:00,6.68,0.7
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-2001-12-14 22:00:00+00:00,7.22,0.86
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-2001-12-15 03:00:00+00:00,7.15,5.58
-2001-12-15 04:00:00+00:00,6.54,6.11
-2001-12-15 05:00:00+00:00,7.24,0.83
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-2001-12-15 08:00:00+00:00,11.92,1.34
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-2001-12-15 10:00:00+00:00,12.46,6.73
-2001-12-15 11:00:00+00:00,11.89,7.31
-2001-12-15 12:00:00+00:00,12.34,2.91
-2001-12-15 13:00:00+00:00,11.93,4.57
-2001-12-15 14:00:00+00:00,12.81,7.19
-2001-12-15 15:00:00+00:00,14.47,5.97
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-2001-12-15 17:00:00+00:00,15.08,7.03
-2001-12-15 18:00:00+00:00,15.04,6.83
-2001-12-15 19:00:00+00:00,14.72,6.08
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-2001-12-15 21:00:00+00:00,18.07,3.46
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-2001-12-16 10:00:00+00:00,14.83,2.9
-2001-12-16 11:00:00+00:00,14.87,2.9
-2001-12-16 12:00:00+00:00,14.49,2.26
-2001-12-16 13:00:00+00:00,14.14,2.58
-2001-12-16 14:00:00+00:00,13.89,3.75
-2001-12-16 15:00:00+00:00,14.04,3.29
-2001-12-16 16:00:00+00:00,13.9,2.88
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-2001-12-16 22:00:00+00:00,11.98,1.74
-2001-12-16 23:00:00+00:00,11.98,1.63
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-2001-12-17 03:00:00+00:00,10.46,0.98
-2001-12-17 04:00:00+00:00,10.0,0.6
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-2001-12-17 06:00:00+00:00,9.21,1.12
-2001-12-17 07:00:00+00:00,9.06,1.81
-2001-12-17 08:00:00+00:00,9.04,2.58
-2001-12-17 09:00:00+00:00,8.88,2.89
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-2001-12-17 13:00:00+00:00,7.45,3.41
-2001-12-17 14:00:00+00:00,7.06,4.24
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-2001-12-17 18:00:00+00:00,5.85,5.83
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-2001-12-17 21:00:00+00:00,4.93,3.87
-2001-12-17 22:00:00+00:00,1.89,4.07
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-2001-12-18 02:00:00+00:00,8.07,1.83
-2001-12-18 03:00:00+00:00,8.12,2.22
-2001-12-18 04:00:00+00:00,10.71,2.02
-2001-12-18 05:00:00+00:00,11.88,1.99
-2001-12-18 06:00:00+00:00,11.24,1.89
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-2001-12-18 08:00:00+00:00,10.83,6.07
-2001-12-18 09:00:00+00:00,12.44,8.2
-2001-12-18 10:00:00+00:00,12.28,8.88
-2001-12-18 11:00:00+00:00,14.4,9.36
-2001-12-18 12:00:00+00:00,14.03,8.0
-2001-12-18 13:00:00+00:00,11.87,6.35
-2001-12-18 14:00:00+00:00,11.13,7.99
-2001-12-18 15:00:00+00:00,11.87,7.21
-2001-12-18 16:00:00+00:00,14.28,6.23
-2001-12-18 17:00:00+00:00,17.99,6.09
-2001-12-18 18:00:00+00:00,15.81,5.78
-2001-12-18 19:00:00+00:00,17.16,4.85
-2001-12-18 20:00:00+00:00,16.87,4.96
-2001-12-18 21:00:00+00:00,19.45,1.8
-2001-12-18 22:00:00+00:00,20.13,2.65
-2001-12-18 23:00:00+00:00,21.51,2.6
-2001-12-19 00:00:00+00:00,20.9,2.52
-2001-12-19 01:00:00+00:00,20.21,2.69
-2001-12-19 02:00:00+00:00,19.61,2.63
-2001-12-19 03:00:00+00:00,19.2,3.01
-2001-12-19 04:00:00+00:00,18.83,2.51
-2001-12-19 05:00:00+00:00,18.52,4.17
-2001-12-19 06:00:00+00:00,18.45,4.25
-2001-12-19 07:00:00+00:00,17.55,2.93
-2001-12-19 08:00:00+00:00,17.25,2.58
-2001-12-19 09:00:00+00:00,17.56,1.73
-2001-12-19 10:00:00+00:00,17.11,1.99
-2001-12-19 11:00:00+00:00,16.33,2.18
-2001-12-19 12:00:00+00:00,15.34,2.1
-2001-12-19 13:00:00+00:00,15.19,1.5
-2001-12-19 14:00:00+00:00,15.02,2.51
-2001-12-19 15:00:00+00:00,15.0,2.65
-2001-12-19 16:00:00+00:00,15.03,2.66
-2001-12-19 17:00:00+00:00,14.92,3.52
-2001-12-19 18:00:00+00:00,14.66,4.22
-2001-12-19 19:00:00+00:00,13.68,4.06
-2001-12-19 20:00:00+00:00,12.89,3.68
-2001-12-19 21:00:00+00:00,11.65,3.12
-2001-12-19 22:00:00+00:00,10.53,2.94
-2001-12-19 23:00:00+00:00,9.59,3.12
-2001-12-20 00:00:00+00:00,8.66,2.87
-2001-12-20 01:00:00+00:00,8.13,2.69
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diff --git a/examples/data/wave/wind_toolkit/wtk_multiloc_meta.csv b/examples/data/wave/wind_toolkit/wtk_multiloc_meta.csv
index 8c4173445..72ed6a377 100644
--- a/examples/data/wave/wind_toolkit/wtk_multiloc_meta.csv
+++ b/examples/data/wave/wind_toolkit/wtk_multiloc_meta.csv
@@ -1,3 +1,3 @@
-,latitude,longitude,country,state,county,timezone,elevation,offshore
-0,39.33325,-67.211975,United States,None,None,-4,0.0,1
-1,41.303635,-75.904785,United States,Pennsylvania,Luzerne,-5,436.0,0
+,latitude,longitude,timezone,elevation,offshore,country,state,county
+0,41.505962,-123.524445,-8,226.0,0,United States,California,Siskiyou
+1,40.742405,-124.53485,-8,0.0,1,United States,None,None
diff --git a/examples/data/wave/wind_toolkit/wtk_multiparm.csv b/examples/data/wave/wind_toolkit/wtk_multiparm.csv
index cd31908a6..4797cd42e 100644
--- a/examples/data/wave/wind_toolkit/wtk_multiparm.csv
+++ b/examples/data/wave/wind_toolkit/wtk_multiparm.csv
@@ -1,8785 +1,8761 @@
time_index,temperature_20m_0,temperature_40m_0
-2012-01-01 00:00:00+00:00,23.32,23.11
-2012-01-01 01:00:00+00:00,23.21,22.99
-2012-01-01 02:00:00+00:00,23.49,23.28
-2012-01-01 03:00:00+00:00,23.53,23.32
-2012-01-01 04:00:00+00:00,23.51,23.29
-2012-01-01 05:00:00+00:00,23.5,23.29
-2012-01-01 06:00:00+00:00,23.48,23.26
-2012-01-01 07:00:00+00:00,23.44,23.24
-2012-01-01 08:00:00+00:00,23.39,23.19
-2012-01-01 09:00:00+00:00,23.34,23.13
-2012-01-01 10:00:00+00:00,23.31,23.11
-2012-01-01 11:00:00+00:00,23.28,23.07
-2012-01-01 12:00:00+00:00,23.37,23.16
-2012-01-01 13:00:00+00:00,23.4,23.19
-2012-01-01 14:00:00+00:00,23.38,23.17
-2012-01-01 15:00:00+00:00,23.42,23.2
-2012-01-01 16:00:00+00:00,23.45,23.25
-2012-01-01 17:00:00+00:00,23.61,23.4
-2012-01-01 18:00:00+00:00,23.65,23.45
-2012-01-01 19:00:00+00:00,23.73,23.53
-2012-01-01 20:00:00+00:00,23.73,23.53
-2012-01-01 21:00:00+00:00,23.72,23.53
-2012-01-01 22:00:00+00:00,23.75,23.54
-2012-01-01 23:00:00+00:00,22.66,22.44
-2012-01-02 00:00:00+00:00,23.72,23.51
-2012-01-02 01:00:00+00:00,23.13,22.91
-2012-01-02 02:00:00+00:00,23.88,23.68
-2012-01-02 03:00:00+00:00,23.77,23.57
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-2012-01-02 08:00:00+00:00,23.78,23.57
-2012-01-02 09:00:00+00:00,23.74,23.55
-2012-01-02 10:00:00+00:00,23.81,23.6
-2012-01-02 11:00:00+00:00,23.67,23.46
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diff --git a/examples/data/wave/wind_toolkit/wtk_multiparm_meta.csv b/examples/data/wave/wind_toolkit/wtk_multiparm_meta.csv
index fec9d4f61..11f19deab 100644
--- a/examples/data/wave/wind_toolkit/wtk_multiparm_meta.csv
+++ b/examples/data/wave/wind_toolkit/wtk_multiparm_meta.csv
@@ -1,2 +1,2 @@
-,latitude,longitude,country,state,county,timezone,elevation,offshore
-0,17.197845,-156.49956,United States,None,None,-10,0.0,1
+,latitude,longitude,timezone,elevation,offshore,country,state,county
+0,40.742405,-124.53485,-8,0.0,1,United States,None,None
diff --git a/examples/data/wave/wind_toolkit/wtk_multiyear.csv b/examples/data/wave/wind_toolkit/wtk_multiyear.csv
index 60c355bdd..18c475135 100644
--- a/examples/data/wave/wind_toolkit/wtk_multiyear.csv
+++ b/examples/data/wave/wind_toolkit/wtk_multiyear.csv
@@ -1,17521 +1,17521 @@
-time_index,pressure_200m_0
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diff --git a/examples/data/wave/wind_toolkit/wtk_multiyear_meta.csv b/examples/data/wave/wind_toolkit/wtk_multiyear_meta.csv
index ab4faa019..11f19deab 100644
--- a/examples/data/wave/wind_toolkit/wtk_multiyear_meta.csv
+++ b/examples/data/wave/wind_toolkit/wtk_multiyear_meta.csv
@@ -1,2 +1,2 @@
-,latitude,longitude,country,state,county,timezone,elevation,offshore
-0,44.62472,-124.28879,United States,None,None,-8,0.0,1
+,latitude,longitude,timezone,elevation,offshore,country,state,county
+0,40.742405,-124.53485,-8,0.0,1,United States,None,None
diff --git a/examples/metocean_example.ipynb b/examples/metocean_example.ipynb
index 0dada39b0..cafb9af0f 100644
--- a/examples/metocean_example.ipynb
+++ b/examples/metocean_example.ipynb
@@ -87,139 +87,139 @@
" \n",
" \n",
" \n",
- " 1214 \n",
+ " 1215 \n",
" 46022 \n",
" 1996 \n",
" 46022c1996.txt.gz \n",
" \n",
" \n",
- " 1215 \n",
+ " 1216 \n",
" 46022 \n",
" 1997 \n",
" 46022c1997.txt.gz \n",
" \n",
" \n",
- " 1216 \n",
+ " 1217 \n",
" 46022 \n",
" 1998 \n",
" 46022c1998.txt.gz \n",
" \n",
" \n",
- " 1217 \n",
+ " 1218 \n",
" 46022 \n",
" 1999 \n",
" 46022c1999.txt.gz \n",
" \n",
" \n",
- " 1218 \n",
+ " 1219 \n",
" 46022 \n",
" 2000 \n",
" 46022c2000.txt.gz \n",
" \n",
" \n",
- " 1219 \n",
+ " 1220 \n",
" 46022 \n",
" 2001 \n",
" 46022c2001.txt.gz \n",
" \n",
" \n",
- " 1220 \n",
+ " 1221 \n",
" 46022 \n",
" 2002 \n",
" 46022c2002.txt.gz \n",
" \n",
" \n",
- " 1221 \n",
+ " 1222 \n",
" 46022 \n",
" 2003 \n",
" 46022c2003.txt.gz \n",
" \n",
" \n",
- " 1222 \n",
+ " 1223 \n",
" 46022 \n",
" 2004 \n",
" 46022c2004.txt.gz \n",
" \n",
" \n",
- " 1223 \n",
+ " 1224 \n",
" 46022 \n",
" 2005 \n",
" 46022c2005.txt.gz \n",
" \n",
" \n",
- " 1224 \n",
+ " 1225 \n",
" 46022 \n",
" 2006 \n",
" 46022c2006.txt.gz \n",
" \n",
" \n",
- " 1225 \n",
+ " 1226 \n",
" 46022 \n",
" 2007 \n",
" 46022c2007.txt.gz \n",
" \n",
" \n",
- " 1226 \n",
+ " 1227 \n",
" 46022 \n",
" 2008 \n",
" 46022c2008.txt.gz \n",
" \n",
" \n",
- " 1227 \n",
+ " 1228 \n",
" 46022 \n",
" 2009 \n",
" 46022c2009.txt.gz \n",
" \n",
" \n",
- " 1228 \n",
+ " 1229 \n",
" 46022 \n",
" 2010 \n",
" 46022c2010.txt.gz \n",
" \n",
" \n",
- " 1229 \n",
+ " 1230 \n",
" 46022 \n",
" 2011 \n",
" 46022c2011.txt.gz \n",
" \n",
" \n",
- " 1230 \n",
+ " 1231 \n",
" 46022 \n",
" 2012 \n",
" 46022c2012.txt.gz \n",
" \n",
" \n",
- " 1231 \n",
+ " 1232 \n",
" 46022 \n",
" 2013 \n",
" 46022c2013.txt.gz \n",
" \n",
" \n",
- " 1232 \n",
+ " 1233 \n",
" 46022 \n",
" 2014 \n",
" 46022c2014.txt.gz \n",
" \n",
" \n",
- " 1233 \n",
+ " 1234 \n",
" 46022 \n",
" 2015 \n",
" 46022c2015.txt.gz \n",
" \n",
" \n",
- " 1234 \n",
+ " 1235 \n",
" 46022 \n",
" 2016 \n",
" 46022c2016.txt.gz \n",
" \n",
" \n",
- " 1235 \n",
+ " 1236 \n",
" 46022 \n",
" 2017 \n",
" 46022c2017.txt.gz \n",
" \n",
" \n",
- " 1236 \n",
+ " 1237 \n",
" 46022 \n",
" 2018 \n",
" 46022c2018.txt.gz \n",
@@ -230,29 +230,29 @@
],
"text/plain": [
" id year filename\n",
- "1214 46022 1996 46022c1996.txt.gz\n",
- "1215 46022 1997 46022c1997.txt.gz\n",
- "1216 46022 1998 46022c1998.txt.gz\n",
- "1217 46022 1999 46022c1999.txt.gz\n",
- "1218 46022 2000 46022c2000.txt.gz\n",
- "1219 46022 2001 46022c2001.txt.gz\n",
- "1220 46022 2002 46022c2002.txt.gz\n",
- "1221 46022 2003 46022c2003.txt.gz\n",
- "1222 46022 2004 46022c2004.txt.gz\n",
- "1223 46022 2005 46022c2005.txt.gz\n",
- "1224 46022 2006 46022c2006.txt.gz\n",
- "1225 46022 2007 46022c2007.txt.gz\n",
- "1226 46022 2008 46022c2008.txt.gz\n",
- "1227 46022 2009 46022c2009.txt.gz\n",
- "1228 46022 2010 46022c2010.txt.gz\n",
- "1229 46022 2011 46022c2011.txt.gz\n",
- "1230 46022 2012 46022c2012.txt.gz\n",
- "1231 46022 2013 46022c2013.txt.gz\n",
- "1232 46022 2014 46022c2014.txt.gz\n",
- "1233 46022 2015 46022c2015.txt.gz\n",
- "1234 46022 2016 46022c2016.txt.gz\n",
- "1235 46022 2017 46022c2017.txt.gz\n",
- "1236 46022 2018 46022c2018.txt.gz"
+ "1215 46022 1996 46022c1996.txt.gz\n",
+ "1216 46022 1997 46022c1997.txt.gz\n",
+ "1217 46022 1998 46022c1998.txt.gz\n",
+ "1218 46022 1999 46022c1999.txt.gz\n",
+ "1219 46022 2000 46022c2000.txt.gz\n",
+ "1220 46022 2001 46022c2001.txt.gz\n",
+ "1221 46022 2002 46022c2002.txt.gz\n",
+ "1222 46022 2003 46022c2003.txt.gz\n",
+ "1223 46022 2004 46022c2004.txt.gz\n",
+ "1224 46022 2005 46022c2005.txt.gz\n",
+ "1225 46022 2006 46022c2006.txt.gz\n",
+ "1226 46022 2007 46022c2007.txt.gz\n",
+ "1227 46022 2008 46022c2008.txt.gz\n",
+ "1228 46022 2009 46022c2009.txt.gz\n",
+ "1229 46022 2010 46022c2010.txt.gz\n",
+ "1230 46022 2011 46022c2011.txt.gz\n",
+ "1231 46022 2012 46022c2012.txt.gz\n",
+ "1232 46022 2013 46022c2013.txt.gz\n",
+ "1233 46022 2014 46022c2014.txt.gz\n",
+ "1234 46022 2015 46022c2015.txt.gz\n",
+ "1235 46022 2016 46022c2016.txt.gz\n",
+ "1236 46022 2017 46022c2017.txt.gz\n",
+ "1237 46022 2018 46022c2018.txt.gz"
]
},
"execution_count": 2,
@@ -279,9 +279,7 @@
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -311,7 +309,7 @@
" \n",
" \n",
" \n",
- " 1236 \n",
+ " 1237 \n",
" 46022 \n",
" 2018 \n",
" 46022c2018.txt.gz \n",
@@ -322,7 +320,7 @@
],
"text/plain": [
" id year filename\n",
- "1236 46022 2018 46022c2018.txt.gz"
+ "1237 46022 2018 46022c2018.txt.gz"
]
},
"execution_count": 3,
@@ -395,9 +393,7 @@
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
@@ -595,7 +591,7 @@
"To get your own API key, visit https://developer.nrel.gov/signup/. \n",
"If you have already accessed WPTO Hindcast data, you may skip this step.\n",
"\n",
- "To configure h5phd type:\n",
+ "To configure h5pyd type:\n",
"\n",
" hsconfigure\n",
" \n",
@@ -619,7 +615,7 @@
"* location\n",
"* year\n",
"\n",
- "A full list of available historical parameters can be found [here](https://github.com/NREL/hsds-examples/blob/master/datasets/WINDToolkit.md#model). Here we are interested in historical surface wind data `'windspeed_10m'`, `'winddirection_10m'`. Additionally, we will use the latitude and longitude of NDBC buoy `'46022'` to later compare to the NDBC dataset. The buoy location can be found [here](https://www.ndbc.noaa.gov/data/stations/station_table.txt). The `elevation_to_string` can be used to easily combine an array of elevations with a parameter name to create the correctly formatted parameter string. This is demonstrated for the array of temperature parameters."
+ "A full list of available historical parameters can be found [here](https://github.com/NREL/hsds-examples/blob/master/datasets/WINDToolkit.md#model). Here we are interested in historical surface wind data (`'windspeed_10m'`, `'winddirection_10m'`) and a vertical temperature profile. For demonstration purposes, not all temperature elevations will be used. Additionally, we will use the latitude and longitude of NDBC buoy `'46022'` to later compare to the NDBC dataset. The buoy location can be found [here](https://www.ndbc.noaa.gov/data/stations/station_table.txt). The `elevation_to_string` can be used to easily combine an array of elevations with a parameter name to create the correctly formatted parameter string. This is demonstrated for the array of temperature parameters."
]
},
{
@@ -635,11 +631,8 @@
"['temperature_2m',\n",
" 'temperature_20m',\n",
" 'temperature_40m',\n",
- " 'temperature_60m',\n",
" 'temperature_80m',\n",
- " 'temperature_100m',\n",
" 'temperature_120m',\n",
- " 'temperature_140m',\n",
" 'temperature_160m']"
]
},
@@ -651,7 +644,7 @@
"source": [
"# Input parameters for site of interest\n",
"temperatures = wind_toolkit.elevation_to_string(\n",
- " \"temperature\", [2, 20, 40, 60, 80, 100, 120, 140, 160]\n",
+ " \"temperature\", [2, 20, 40, 80, 120, 160]\n",
")\n",
"temperatures"
]
@@ -710,7 +703,7 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
"execution_count": 9,
@@ -719,14 +712,12 @@
},
{
"data": {
- "image/png": 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",
+ "image/png": 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0GqOO+7zr16+jYsWKBm8EwL93wFy/fr3AdRojv/O4dOkShBCoWLFijs9XqVR51i9JEkJDQ/XJ4L59+1C6dGn9HWehoaGYN28eAOgTmoImMk2bNsVrr72Gr776KtsHnrESExMBFOzD50XXr1+Hj49Ptjpe/B1ev34dCoUi2113Xl5ecHV1Nep3PXLkSKSkpOD48eOoXr16oWPOTdY5JCQk5DpI15hkJy+TJ09Gx44dUalSJdSoUQNt2rRB7969ERwcbLCfnZ0dPD09Dcrc3NwMPuCNbfssL94F+eDBAzx9+hTfffcdvvvuuxzjvX//vlHnlfX3X5Ck+Mcff0SDBg3w6NEjPHr0CABQu3ZtpKWlYd26dRg8eHC+dZQtWxZqtdqg7NKlSzh37ly29suSdU5Zr8kX28WYO0Oz2rZy5coG5Wq1GoGBgdnavly5cgaDn4HM3+epU6fyPVZJwkSmhPrnn3/0Scnp06eNfl5Wb8t///vfXL/ZvjgpV26j9kUOc2tYsvzOQ6fTQZIkbNmyJcd9jZmsrHHjxvjtt99w+vTpbLechoaGYtSoUbh9+zb+/PNP+Pj4IDAwsMDnMWHCBDRv3hzffvttoe6OOXPmDICC39L/Ml58My+Ijh07Ys2aNZg+fTpWrFiRLQF+WVWrVsWmTZtw6tQpNG3aNMd9sj54CnsHXdOmTXHlyhX8+uuv2L59OxYvXoxZs2Zh0aJFGDhwoH6/orhDxt7e3uBx1nvA22+/nesXmhcTrNxUqVIFQOZ7kDHTHly6dAmHDx8GgBy/MKxatcqoRObFcwIyz+uVV17B119/neNz8ppuoKgUl/fOosZEpgTS6XTo27cvNBoNRo4cqZ8/5Y033tDvk9sHR4UKFQBkfpMy5bwNBfmg8vf3x6lTp6DT6Qw+lM6fP6/fXtQx5KRChQoQQqB8+fKoVKlSoep4fj6Zffv2GcxEXLduXdja2iImJgYHDx5EREREoY7RrFkzNG/eHF9++SU+++yzAj8/ay6Y8PDwQh0fyPwd7dixAwkJCQY9Ay/+Dv39/aHT6XDp0iWDOWfu3buHp0+fGvW77tSpE1q3bo2+ffvC2dkZCxcuzPc5BXkttG/fHtOmTcOKFStyTGS0Wi1Wr14NNzc3NGrUyOh6X+Tu7o5+/fqhX79+SExMRNOmTTFx4kSDRMYYxrZ9bjw9PeHs7AytVvvS7wGNGzeGm5sbfvrpJ3zyySf5JmKrVq2CSqXCypUrs+37559/Yu7cubhx40a23lNjVKhQASdPnkSLFi3y/P1nvSavXr1qkExdvnw532Nkte2FCxcMvoSkpaXh6tWrFjkXjjXgGJkS6Ouvv8b+/fvx3Xff4fPPP0doaCiGDBliMAW/o6MjAODp06cGz61bty4qVKiAGTNm6C8xPO/BgweFisnR0THbsXITERGBu3fv4ueff9aXZWRk4JtvvoGTkxOaNWtW5DHk5I033oBSqcSkSZOyfWMSQui7wfNSr1492NnZYdWqVbh9+7ZBj4ytrS3q1KmD+fPnIykpqcCXlZ6XNVYmt0sDuVm9ejUWL16MkJAQtGjRotDHj4iIgFar1V8qyzJr1ixIkoS2bdvq9wOQbZr+rG/N7dq1M+p4ffr0wdy5c7Fo0SKDuVxyU5DXQmhoKFq2bImlS5fi999/z7Z93LhxuHjxIj7++OMcewKM8eJrx8nJCUFBQUbNsvwiY9s+N0qlEl26dMGGDRv0vXPPK8h7gIODA0aPHo1z585h9OjROfY0/Pjjjzh06BCAzESmSZMm6N69O7p27WrwM2rUKADATz/9ZPTxn9etWzfcvn0b33//fbZtz549Q1JSEoB/E/gFCxYY7PPNN9/ke4yWLVtCrVZj7ty5Bue6ZMkSxMXFGf16JkPskSlmtmzZov9m9bzQ0FAEBgbi3LlzGD9+PPr27YsOHToAyJymvlatWnj33Xexdu1aAJnfTlxdXbFo0SI4OzvD0dERr776KsqXL4/Fixejbdu2qF69Ovr164eyZcvi9u3b2L17NzQaDX777bcCx123bl3s2LEDX3/9tX5yuFdffTXHfQcPHoxvv/0Wffv2xdGjRxEQEID169dj3759mD17dqHHIRQkhpxUqFABU6ZMwdixY3Ht2jV06tQJzs7OuHr1KjZu3IjBgwfnO1urWq1G/fr1sXfvXtja2qJu3boG20NDQ/VLDbxMItOsWTM0a9Ysz4HR69evh5OTE9LS0vQz++7btw81a9bEunXrCn1sAOjQoQNee+01jBs3DteuXUPNmjWxfft2/Prrrxg5cqS+569mzZqIjIzEd999h6dPn6JZs2Y4dOgQli9fjk6dOhnMdJyfYcOGIT4+HuPGjYOLiws++eSTXPetW7cuFi5ciClTpiAoKAilS5fWD/rMyYoVK9CiRQt07NgRPXv2RJMmTZCamopffvkFMTEx6N69u/6DtjCqVauG5s2bo27dunB3d8eRI0ewfv16DBs2rMB1Gdv2eZk+fTp2796NV199FYMGDUK1atXw+PFjHDt2DDt27MDjx4+NjmfUqFE4e/YsZs6cid27d6Nr167w8vLC3bt3sWnTJhw6dAj79+/HwYMHcfny5VzPuWzZsqhTpw5WrVplVLL6ot69e2Pt2rV45513sHv3bjRq1AharRbnz5/H2rVrsW3bNtSrVw9169ZFly5dMHv2bDx69AgNGzbEnj17cPHiRQB59+Z5enpi7NixmDRpEtq0aYPXX38dFy5cwIIFC1C/fn2LnDDSKshyrxSZXF63X+P/b6POyMgQ9evXF+XKlRNPnz41eH7WbZA///yzvuzXX3/VT4KVVUeW48ePizfeeEOUKlVK2NraCn9/f9GtWzexc+dO/T653cab0+2u58+fF02bNhX29vYGk9Hl5t69e6Jfv37Cw8NDqNVq8corr2S7VVyIgt1+nVsMBTkPIYTYsGGDaNy4sXB0dBSOjo6iSpUqYujQoeLChQtGxTF27FgBQISGhmbblnUbr7Ozc44TiOV3+/Xznp+YLafbr7N+7OzsRLly5UT79u3FDz/8kG1yMGPkNCFeQkKCeP/994WPj49QqVSiYsWKuU6IN2nSJFG+fHmhUqmEr69voSfEE0KIjz/+WAAQ8+bNE0Lk/Hu8e/euaNeunXB2dhbIZ0K8589n4sSJonr16sLe3l44OzuLRo0aiWXLlmU7JyEKdvv1lClTRIMGDYSrq6uwt7cXVapUEVOnTjWYdyRrQrwXZf0+X4zVmLbP7bUjRObf4NChQ4Wvr69QqVTCy8tLtGjRQnz33Xe5N1Ie1q9fL1q3bi3c3d2FjY2N8Pb2Ft27d9fPzzN8+HABQD+fVU4mTpyYbb6lF2VNNJeTtLQ08eWXX4rq1asLW1tb4ebmJurWrSsmTZok4uLi9PslJSWJoUOHCnd3d+Hk5CQ6deokLly4IAAYzO2T23vEvHnzRJUqVYRKpRJlypQRQ4YMyXVCvBdFRkYKf3//XM+vJJKE4KghIiKil3HixAnUrl0bP/74I3r16iV3OCUKx8gQEREVwLNnz7KVzZ49GwqFItc716jocIwMERGZ3IMHD6DVanPdrlar4e7ubsaITOerr77C0aNH8dprr8HGxgZbtmzBli1bMHjwYFlu0y7peGmJiIhMLiAgIM8JC5s1a4aYmBjzBWRC0dHRmDRpEv7++28kJibCz88PvXv3xrhx44yaIZ1Mi4kMERGZ3L59+3K8BJPFzc0t2115RIXBRIaIiIisFgf7EhERkdUq9hfzdDod7ty5A2dn55eegp6IiIjMQwiBhIQE+Pj45LlGWrFPZO7cucNR5ERERFbq5s2bKFeuXK7bi30ikzVd/c2bN/VLxhdX6enp2L59O1q3bg2VSiV3OLJjexhiexhiexhiexhiexiSoz3i4+Ph6+ub77IzxT6RybqcpNFoSkQi4+DgAI1Gwz88sD1exPYwxPYwxPYwxPYwJGd75DcshIN9iYiIyGoxkSEiIiKrxUSGiIiIrBYTGSIiIrJaTGSIiIjIajGRISIiIqvFRIaIiIisFhMZIiIislpMZIiIiMhqFfuZfYmIXqTVCfx15RF+vy5h57qTACQ8TExDSoYWdjZKeDjZQpIyF60rSDlQ8OdYSrm7gw3u3FFge8IJPEnOkD0ec5Xn9jsTEEh5qIDrlUdoXKkMlAouOmypmMgQ0UvT6gQOXHmEfVce4PaTZ/pyU33YaLVanLodj8dJaQAAJ1sbKKTM1e0T07TQagWUSglOtqo8y4UQSEjVIjFN9/8RKoE792RoMUulAB7flzsIC6JA9LKjAABHlQSNnQqAQEq6FqlaAQCws1HA1kaZb3maDlApFfB2sUOF0k5QSpJJkzFJklDWzR6hFTzQMLBUiUq8mMgQFRNancD+Sw+x/thN3HryDLY2CoM3wPsJKYi9p8Cau4fg6Wyf4xtjKUc1Hiam4n7CMzxJSkdKRuYH/vNvyqkZOoNynZAQl5IBYcZzTUxLy6EBRMHKiQogKV0gKT376yg5XQtAa2S5Dk+fJeLc3cQiiREA5u++AgBwsVVAISHfhMtepYSbgxqlNXYo5ajGo6ScE6jc3j8eJaXDwVaJBgGlEBkaALWN+UesMJEhKmIv9lYU5NsWIHAv7hkuPUjEszQtlIrM3gXphYRCIUnP9TLkRYHrV58CeFqgc8j7zZqILE1cquH7Qe5/wxl4lJyByw+Tjag19/eP6L/v44uocxjctDzGRlQrTMiFxkSG6P9lJRx7L9/HqZtxL5VoZF3eeJqSgZQMU0aZW++COftDiIiyEwC+/eMqAJg1mWEiQ1Yrp3EZzycbtkoJKXH/Dl58lp6B1HQd0jK0SE7XQuj+7dXI0Amka02RDvAyBhGVbN/tvYoPW1cx22UmJjJkdvklIMYM8kxOy8DTFOMupRzn4EUiIrMRAli+/xoGNQ00y/GYyFCBvGwSkpKuRVyKttA9H+ztICKyfAf/ecREhorO88nIrcfJOY77eJCQigeJKUhO+/d6S3IakxAiIsrf3bhn+e9kIkxkrFhahg7L91/FoauPkZyaATcHG9y+rcBPdw8hTStgq8y8PvkgMQVJqZnjQxLTtEjjjSZERFSEUjPM90HDREZm+fWOSP9/98vl+4m4E5eCdK0OdjYKpGQIJKfnNEZEATx5au7TICIikgUTGRN6sYek1P9fpvn3Lpp/e0gSU9Lx9Fnhbs3l3B1ERGTJVErzTYzHRKYQsmZQXXf0Bv6OjUdyWgbinmUgyagJyYiIiIq3NF5aslxbz8Tig7UnMwfBEhERUTbPMsz3xZ6JTAFsPROLd348JncYREREFs3ejGsumX91Jyul1QlM+PWM3GEQERFZPLWN0mzHYiJjpENXH+NeAudBISIiyk+a1nzDL5jIGOl+QorcIRAREVkFSZLMdiwmMkYq7WwndwhERERWwcPR1mzHYiJjpAbl3eFqb75rfkRERNaqpp+r2Y7FRMZISoWELzoHyx0GERGRxWsSVNpsx7KYRGb69OmQJAkjR44EADx+/BjDhw9H5cqVYW9vDz8/P4wYMQJxcXGyxRgR7AMXO/bKEBER5aVhhVJmO5ZFJDKHDx/Gt99+i+Dgf3s87ty5gzt37mDGjBk4c+YMli1bhq1bt2LAgAEyRgpU89bIenwiIiJL5uNiC6WiBA32TUxMRK9evfD999/Dzc1NX16jRg1s2LABHTp0QIUKFRAWFoapU6fit99+Q0ZGIRYoMhFzXvcjIiKyNg5q86YWss/sO3ToULRr1w4tW7bElClT8tw3Li4OGo0GNja5h52amorU1FT94/j4eABAeno60tPTXzre0PLuWLTn6kvXQ0REVCwJmOTz1tg6ZE1k1qxZg2PHjuHw4cP57vvw4UN8/vnnGDx4cJ77TZs2DZMmTcpWvn37djg4OBQ61iw6AQBKAObrNiMiIrIWSYlJiIqKeul6kpOTjdpPEkKIlz5aIdy8eRP16tVDdHS0fmxM8+bNUatWLcyePdtg3/j4eLRq1Qru7u7YvHkzVCpVrvXm1CPj6+uLhw8fQqMxzfiWWTsuYQF7ZYiIiLKpUMoeW0c2eel64uPj4eHhob8akxvZEplNmzahc+fOUCr/vQtIq9VCkiQoFAqkpqZCqVQiISEB4eHhcHBwwO+//w47u4JNTBcfHw8XF5d8G6IgtDqBoE+iIEvDERERWbCyrrbYN6blS9dj7Oe3bJeWWrRogdOnTxuU9evXD1WqVMHo0aOhVCoRHx+P8PBw2NraYvPmzQVOYoqKUiHhvRYVMXvnJblDISIisijmXPkakDGRcXZ2Ro0aNQzKHB0dUapUKdSoUQPx8fFo3bo1kpOT8eOPPyI+Pl4/cNfT09OgJ0cOw5nIEBERZWPOla8BC7hrKTfHjh3DwYMHAQBBQUEG265evYqAgAAZovqXUiGhvp8LDt+Qb4I+IiIiS2POla8BC0tkYmJi9P9v3rw5ZBq+Y7QRLSqj99JDcodBRERkMVzszbdgJGABE+JZs9CKHnKHQEREZFFaVy9j1uMxkXkJSoWEN2p5yx0GERGRxejXKNCsx2Mi85Kmd60ldwhEREQWwUYBqM181xITmZektlFgQGN/ucMgIiKSnaej2uzHZCJjAuPb10AZJ4saN01ERGR2rg65z7xfVJjImMjeMa3kDoGIiEhW6Vqd2Y/JRMZE1DYKRFT3lDsMIiIi2TzLYCJj1b7pVV/uEIiIiGRj7uUJACYyJqVUSPByMv/1QSIiIktg7uUJACYyJufsYP4R20RERJbA3MsTAExkTK6ql7PcIRAREclCgmT2YzKRMbE36/rJHQIREZEsVEqOkbF6oRU9YGdj/oyUiIhIbnYqjpGxekqFhNk9assdBhERkdn5ujuY/ZhMZIpAmxre8NHw7iUiIipZutbxNfsxmcgUEQdbLllAREQlS2hFD7Mfk4lMEZEkNi0REZUcrvY2UCp411KxwduwiYioJPFwkmceNSYyRYQNS0REJYlahluvAX7eFgmtTuD303flDoOIiMhs0jLMP6svwESmSBz45xEyhNxREBERmY8cK18DTGSKxP4rD+UOgYiIyKzkWPkaYCJTJA5dfSx3CERERGYlx8rXABMZk9PqBI5dfyJ3GERERGYlx8rXABMZkzvwzyNoOT6GiIhKGDlWvgaYyJjcX1ceyR0CERGR2cmx8jXARMbkBNgdQ0REJY8cK18DABcEMjFnrrFEJqSADg0U51EaT3EfrjikqwIdv38QkQWSY+VrgImMyf19J17uEKiYCFccwgTVCvhI/94Fd0e4Y1J6H2zTNZAxMiKi7ORY+RrgpSWTOxfLRIZeXrjiEBaqZsMLhrfye+ExFqpmI1xxSKbIiIhyJsfK1wATGZN7nJQqdwhk5RTQYYJqReb/X7gJIOvxBNVKKCDPLJpERC+Sa+VrgImMySWnZcgdAlm5Borz8JEeZ0tisigkwEd6hAaK8+YNjIgoF3KtfA0wkTEprU7gGfMYekml8dSk+xERFTW5Vr4GmMiY1P7LXGOJXt59uJp0PyKioibXytcAExmT+uXYLblDoGLgkK4K7gh36HKZkkgngDuiFA7pqpg3MCKiXMi18jXARMakktLky0ip+NBBgUnpfTL//0Iyk/V4UnpvzidDRBZDrpWvASYyJlXX303uEKiY2KZrgCHpI3EX7gbld1EKQ9JHch4ZIrIocq18DXBCPJOq5OkkdwhUjGzTNUB0aj3O7EtEFk/OMTJMZExo08k7codAxYwOChzQVZM7DCKiPHGMTDFx7m6c3CEQERGZnb2KY2SKBWdbldwhEBERmZ2nk51sx2YiY0Ktq5eROwQiIiKzq+nnKtuxmciYUL9GgXKHQEREZHZNgkrLdmwmMkRERPRSGlYoJduxmciY0PL91+QOgYiIyKxc7eRb+RpgImNSh689ljsEIiIis3K0lW8yPICJjEk5qOX9ZRIREZmbnLdeA0xkTKpL7XJyh0BERGRWci5PADCRManQih5yh0BERGRWaVp5F0xmImNCSoWEMs6cFI+IiEoOCfIN9AWYyJicxo6JDBERlRwqJcfIFCty/0KJiIjMSc6VrwELSmSmT58OSZIwcuRIfVlKSgqGDh2KUqVKwcnJCV26dMG9e/fkC9IIPq72codARERkNnKufA1YSCJz+PBhfPvttwgODjYof//99/Hbb79h3bp12LNnD+7cuYM33nhDpiiN82qgfLMbEhERmVuJv/06MTERvXr1wvfffw83Nzd9eVxcHJYsWYKvv/4aYWFhqFu3LpYuXYr9+/fjwIEDMkact8jQ8nKHQEREZDZyrnwNADayHh3A0KFD0a5dO7Rs2RJTpkzRlx89ehTp6elo2bKlvqxKlSrw8/PDX3/9hYYNG+ZYX2pqKlJTU/WP4+PjAQDp6elIT08vorP4lwTA1U6BpynydrURERGZwyvlNEXy+WpsnbImMmvWrMGxY8dw+PDhbNvu3r0LtVoNV1dXg/IyZcrg7t27udY5bdo0TJo0KVv59u3b4eDg8NIxG8NFocBT+Tu7iIiIipzNw38QFXXF5PUmJycbd3yTH9lIN2/exHvvvYfo6GjY2ZmuW2rs2LH44IMP9I/j4+Ph6+uL1q1bQ6PRmOw4edmZdBLXT1n2oGQiIiJTGNGjTZEsGpl1RSU/siUyR48exf3791GnTh19mVarxR9//IF58+Zh27ZtSEtLw9OnTw16Ze7duwcvL69c67W1tYWtrW22cpVKBZXKPHO8vFnXH5uZyBARUTHnamcDO1t1kdRt7Ge2bIlMixYtcPr0aYOyfv36oUqVKhg9ejR8fX2hUqmwc+dOdOnSBQBw4cIF3LhxAyEhIXKEbDQuVUBERCWB3CtfAzImMs7OzqhRo4ZBmaOjI0qVKqUvHzBgAD744AO4u7tDo9Fg+PDhCAkJyXWgr6VQKiS0qeaJrX8/kDsUIiKiIiP3rdeABdy1lJdZs2ZBoVCgS5cuSE1NRXh4OBYsWCB3WEbpHRLIRIaIiIo1uVe+BgBJCCHkDqIoxcfHw8XFBXFxcWYb7AsAWp1AhU+izHY8IiIicwvysMeOj8KKpG5jP7/l7xMqppQKCXX9XOQOg4iIqMjIvTwBwESmSI1sUVnuEIiIiIqMvY38aYT8ERRjvHuJiIiKM0sYI8NEpggpFRK8nIrm/noiIiK5pWm1cofARKaoNQh0lzsEIiKiIiFJpp/Rt6CYyBSxN+v6yR0CERFRkfBwzD6TvrkxkSlioRU9IH++SkREZHo1/VzlDoGJTFFTKiQMC6sgdxhEREQm1ySotNwhMJExh5EteRs2EREVPw0rlJI7BCYy5qBUSJjTvZbcYRAREZmMxlYBpUL+wRNMZMykY+2ycLaAVUKJiIhMwdNJ/oG+ABMZs1rQs67cIRAREZmEwgJ6YwAmMmbFmX6JiKi4UCktI4WwjChKCKVCQptqnnKHQURE9NLSMuSf1RdgImN2vUMC5Q6BiIjopVnCytcAExmza1ihFGws47IiERFRoVnCytcAExmzUyokDHmNE+QREZF1s4SVrwEmMrLgBHlERGTtOEamBFMqJMzrUUvuMIiIiAqNY2RKuPa1yqJiaQe5wyAiIioUexUvLZV4/xvRTO4QiIiICqWat0buEAAwkZGV2kaBdjXkXzmUiIiooN6s6yd3CACYyMhubs96codARERUYJYyWz0TGZkpFRIW9KwtdxhERERGs1PCIla+BpjIWISIYB8MahIgdxhERERGcXNQyx2CHhMZCzGuXXXU93eVOwwiIqJ8WcrK1wATGYuyalCI3CEQERHly15lOemD5URCUNso0D/UX+4wiIiI8mQpyxMATGQszmev14CHo43cYRAREeXKUpYnAJjIWKSD41rLHQIREVGuLGV5AoCJjEVSKiQMD+MK2UREZJnsbSwnfSjQNQydToc9e/Zg7969uH79OpKTk+Hp6YnatWujZcuW8PX1Lao4S5yRLStj3q4rEHIHQkRE9AKrGyPz7NkzTJkyBb6+voiIiMCWLVvw9OlTKJVKXL58GRMmTED58uURERGBAwcOFHXMJYJSIWE+J8ojIiILlKa1nDEyRvXIVKpUCSEhIfj+++/RqlUrqFSqbPtcv34dq1evRo8ePTBu3DgMGjTI5MGWNBHBPhhw4zGW/Hld7lCIiIj0JMly5pGRhBD5Xr04d+4cqlatalSF6enpuHHjBipUsIwxHvHx8XBxcUFcXBw0GstYqbOgOs//E8dvxskdBhEREQAgpLwbfvpPaJEew9jPb6MuLRmbxACASqWymCSmuFg/pBEsJ/clIqKSrqafq9wh6BV4wpJTp07lWC5JEuzs7ODn5wdbW9uXDoz+pVRI+KZHLQxbc0LuUIiIiNAkqLTcIegVOJGpVatWntfGVCoVunfvjm+//RZ2dnYvFRz9q32tsth44hZ2nn8odyhERFTCNaxQSu4Q9Ap8I/jGjRtRsWJFfPfddzhx4gROnDiB7777DpUrV8bq1auxZMkS7Nq1C59++mlRxFuiLen7Kmp4O8kdBhERlWAaWwWUFrRoZIF7ZKZOnYo5c+YgPDxcX/bKK6+gXLlyGD9+PA4dOgRHR0d8+OGHmDFjhkmDJeD395qh2Vc7cf1xityhEBFRCeThZFnDRwrcI3P69Gn4+2df2NDf3x+nT58GkHn5KTY29uWjoxzt+iiMg3+JiEgWqVrLWZ4AKEQiU6VKFUyfPh1paWn6svT0dEyfPh1VqlQBANy+fRtlypQxXZRkgJPlERGRXCxpeQKgEJeW5s+fj9dffx3lypVDcHAwgMxeGq1Wi99//x0A8M8//+Ddd981baRkgJPlERGRHCxpeQLAyAnxXpSQkIBVq1bh4sWLAIDKlSujZ8+ecHZ2NnmAL6s4TIiXl/5LD2LXBd7JRERE5hHkaY8dH4YV+XGM/fwucI8MADg7O+Odd94pdHBkOj/0exXt5uzB2dhEuUMhIqISQLKwUZqFutC1cuVKNG7cGD4+Prh+PfPSxqxZs/Drr7+aNDgyzv/eawYHG8t6YRERUfGkUlrWGJkCR7Nw4UJ88MEHaNu2LZ48eQLt/6+A6ebmhtmzZ5s6PjLS0c/C89+JiIjoJaVlWM7K10AhEplvvvkG33//PcaNGwcbm3+vTNWrV09/+zWZn71aCXvLGn9FRETF0LMMK7/9+urVq6hdO/utv7a2tkhKSjJJUFQ4Vbwtb7A1EREVL/Yqy/rWXOBEpnz58jhx4kS28q1btxZolWwyPV93B7lDICKiYq6at2XdAVzgu5Y++OADDB06FCkpKRBC4NChQ/jpp58wbdo0LF68uChiJCO9UassNp+6J3cYRERUjL1Z10/uEAwUuEdm4MCB+PLLL/Hpp58iOTkZPXv2xMKFCzFnzhz06NGjQHUtXLgQwcHB0Gg00Gg0CAkJwZYtW/Tb7969i969e8PLywuOjo6oU6cONmzYUNCQS4zM1UgLPC0QERGR0UIresgdgoFCzSPTq1cv9OrVC8nJyUhMTETp0qULdfBy5cph+vTpqFixIoQQWL58OTp27Ijjx4+jevXq6NOnD54+fYrNmzfDw8MDq1evRrdu3XDkyJEcx+mUdEqFhHL2Aree8VZsIiIyPSVgUStfA4WcRyaLg4NDoZMYAOjQoQMiIiJQsWJFVKpUCVOnToWTkxMOHDgAANi/fz+GDx+OBg0aIDAwEJ9++ilcXV1x9OjRlwm7WKvryR4ZIiIqGm4OljXQFzCyR6Z27dqQJOMysGPHjhUqEK1Wi3Xr1iEpKQkhISEAgNDQUPz8889o164dXF1dsXbtWqSkpKB58+aFOkZJ0NRb4NcbckdBRETFkcZOLXcI2RiVyHTq1En//5SUFCxYsADVqlXTJxwHDhzA2bNnC7VQ5OnTpxESEoKUlBQ4OTlh48aNqFatGgBg7dq16N69O0qVKgUbGxs4ODhg48aNCAoKyrW+1NRUpKam6h/Hx8cDyFyhOz09vcDxWZP09HTYKIDwKqWw7fwjucMhIqLiRoLZPkuNPY5RicyECRP0/x84cCBGjBiBzz//PNs+N2/eLECImSpXrowTJ04gLi4O69evR2RkJPbs2YNq1aph/PjxePr0KXbs2AEPDw9s2rQJ3bp1w969e/HKK6/kWN+0adMwadKkbOXbt2+Hg0PJuD25jes9bIMSsLD1MIiIyLo9S0pCVFSUWY6VnJxs1H4FXv3axcUFR44cQcWKFQ3KL126hHr16iEuLq4g1WXTsmVLVKhQAR9//DGCgoJw5swZVK9e3WB7UFAQFi1alOPzc+qR8fX1xcOHD4vl6tfPS09PR3R0NFq1aoWtfz/AB+vPyB0SEREVI+Xd7bD9/aZmOVZ8fDw8PDxMv/q1vb099u3bly2R2bdvH+zs7Aoe6Qt0Oh1SU1P1mZhCYTgeWalUQqfLfXpkW1tb2NraZitXqVRQqVQvHZ81UKlUeKOePz7bfBaJaRz8S0REppGaIcz2WWrscQqcyIwcORJDhgzBsWPH0KBBAwDAwYMH8cMPP2D8+PEFqmvs2LFo27Yt/Pz8kJCQgNWrVyMmJgbbtm1DlSpVEBQUhP/85z+YMWMGSpUqhU2bNiE6Ohq///57QcMukQ580ho1Jm6TOwwiIiom7FWWN2ShwInMmDFjEBgYiDlz5uDHH38EAFStWhVLly5Ft27dClTX/fv30adPH8TGxsLFxQXBwcHYtm0bWrVqBQCIiorCmDFj0KFDByQmJiIoKAjLly9HREREQcMukZzsbFDGyQb3EjPkDoWIiIoBlc1LzdpSJAo8RsbaxMfHw8XFJd9rbMVBeno6oqKiEBERoe+SS8vQodKnW/J5JhERUf4qlLLHzlFhZjmWsZ/fRqVWxTzXKdbUNgpUKGUvdxhERFQMPEvPfYyqXIxKZKpXr441a9YgLS0tz/0uXbqEIUOGYPr06SYJjkxj4us536pORERUEA5qy7u0ZNQYmW+++QajR4/Gu+++i1atWqFevXrw8fGBnZ0dnjx5gr///ht//vknzp49i2HDhmHIkCFFHTcVQGhFDygAWF4eTURE1qSqt7PcIWRjVCLTokULHDlyBH/++Sd+/vlnrFq1CtevX8ezZ8/g4eGB2rVro0+fPujVqxfc3NyKOmYqIKVCwtwetTBszQm5QyEiIivWpXY5uUPIpkB3LTVu3BiNGzcuqlioCLWvVRZL9v2D4zfj5Q6FiIiskkDDCqXkDiIby7vYRUVm/RAmoUREVDgKCCgVljePDBOZEkSpkDA8rILcYRARkRWyvHWvMzGRKWFGtqwsdwhERGSFlBaaMVhoWFRUlAoJ83rUkjsMIiKyMg4FXgvAPJjIlEDta5VFbd/iPcsxERGZlgWuTgCgkInMlStX8Omnn+Ktt97C/fv3AQBbtmzB2bNnTRocFR0O/CUiooLIsNDJyAqcyOzZswevvPIKDh48iF9++QWJiYkAgJMnT2LChAkmD5CKBgf+EhFRQVjg6gQACpHIjBkzBlOmTEF0dDTU6n/HMIeFheHAgQMmDY6K1siWlXltkYiIjKKy0A+MAod1+vRpdO7cOVt56dKl8fDhQ5MEReahVEiY17O23GEQEZEVKDZjZFxdXREbG5ut/Pjx4yhbtqxJgiLziQj2QftXysgdBhERWThtcbm01KNHD4wePRp3796FJEnQ6XTYt28fPvroI/Tp06coYqQiNuetulArLW+2RiIisiAW+jFR4ETmiy++QJUqVeDr64vExERUq1YNTZs2RWhoKD799NOiiJGKmFIhYXb3WnKHQUREFszGQhOZAk9vo1ar8f3332P8+PE4c+YMEhMTUbt2bVSsWLEo4iMziQj2waCbT/D93mtyh0JERBbIUgf7FnqePj8/P/j5+ZkyFpLZuHbVkaETWLrvutyhEBGRhfGwF3KHkCOjEpkPPvjA6Aq//vrrQgdD8pvQoQauPUjE7ouP5A6FiIgsSH1PuSPImVGJzPHjxw0eHzt2DBkZGahcOXMBwosXL0KpVKJu3bqmj5DMbmn/hqg5cSviUrRyh0JERBaisqsV98js3r1b//+vv/4azs7OWL58Odzc3AAAT548Qb9+/dCkSZOiiZLM7vCnrVHp0y1yh0FERBbA3gZQWOhg3wIP3Zk5cyamTZumT2IAwM3NDVOmTMHMmTNNGhzJR22jwIDG/nKHQUREFsBBbaFLX6MQiUx8fDwePHiQrfzBgwdISEgwSVBkGca3r4EaPk5yh0FERDJzsS9GiUznzp3Rr18//PLLL7h16xZu3bqFDRs2YMCAAXjjjTeKIkaS0e8jmqG6N5MZIqKSTG2p6xOgEInMokWL0LZtW/Ts2RP+/v7w9/dHz5490aZNGyxYsKAoYiSZ/e89JjNERCVZeoZlDvQFCpHIODg4YMGCBXj06BGOHz+O48eP4/Hjx1iwYAEcHR2LIkayAP97rxlq+DjLHQYREcngWbqFLrSEQiQyWRwdHREcHIzg4GAmMCXE7yOawtNJJXcYRERkZvYqC71lCYWY2fe1116DJOV+Qrt27XqpgMiyff1mbfReekjuMIiIyIxUFjxGpsCJTK1atQwep6en48SJEzhz5gwiIyNNFRdZqNCKHnKHQEREZmbJY2QKnMjMmjUrx/KJEyciMTHxpQMiy6ZUSGjg74pD15/KHQoREZlJHhdiZGeyvqK3334bP/zwg6mqIws2PKyS3CEQEZEZqZSWm8mYLJH566+/YGdnZ6rqyILx8hIRUclip1LKHUKuCnxp6cVJ74QQiI2NxZEjRzB+/HiTBUaWS6mQMDysAr7ZdUXuUIiIyAx83R0APJE7jBwVuEdGo9HAxcVF/+Pu7o7mzZsjKioKEyZMKIoYyQKNbFlZ7hCIiMhM3qhVVu4QclXgHplly5YVQRhkbZQKCV1q+2DD8Ttyh0JEREWsYYVS2HZJ7ihyVuAemcDAQDx69Chb+dOnTxEYGGiSoMg6TOtSU+4QiIioiKkUmV9eLVWBE5lr165Bq9VmK09NTcXt27dNEhRZB7WNAq8GuMgdBhERFSE7leVOhgcU4NLS5s2b9f/ftm0bXFz+/QDTarXYuXMnAgICTBocWb6VA0NR6dMtcodBRERFxNPJVu4Q8mR0ItOpUycAgCRJ2WbwValUCAgIwMyZM00aHFk+tY0CDcu74sDVp3KHQkRERcCSb70GCnBpSafTQafTwc/PD/fv39c/1ul0SE1NxYULF9C+ffuijJUs1IoBIXKHQERERSQtI/twEktS4AtfV69ehYcHJ0Sjf6ltFGhXo7TcYRARURF4lqGTO4Q8GXVpae7cuRg8eDDs7Owwd+7cPPcdMWKESQIj6zK3Zz3875MoucMgIiITs7fgla8BIxOZWbNmoVevXrCzs8t10Uggc/wME5mSSamQMK9HLQxbc0LuUIiIyITUNpY9RsaoRObq1as5/p/oee1rlcWcXRdx6X6y3KEQEZGJpOUw5YolKXB/0eTJk5GcnP2D6tmzZ5g8ebJJgiLr9b8RzeQOgYiITEiC5U6GBxQikZk0aRISExOzlScnJ2PSpEkmCYqsFwf+EhEVLyqlZY+RKXB0QghIUvbs7OTJk3B3dzdJUGTd5vasJ3cIRERkIpZ+acnoCfHc3NwgSRIkSUKlSpUMkhmtVovExES88847RRIkWRelQsKCnrXx7urjcodCREQvSZIsu0fG6ERm9uzZEEKgf//+mDRpksESBWq1GgEBAQgJ4cRolCki2AftT9/B76fvyR0KERG9hKpeznKHkCejE5msZQnKly+P0NBQqFSqIguKioc5b9XFtrNRSLfsuZSIiCgPb9b1kzuEPBW4v6hZs2b6JCYlJQXx8fEGP0RZlAoJc3rUljsMIiJ6CaEVLXs2/wInMsnJyRg2bBhKly4NR0dHuLm5GfwUxMKFCxEcHAyNRgONRoOQkBBs2WK4kvJff/2FsLAwODo6QqPRoGnTpnj27FlBwyaZRAT7YFCTALnDICKiQlAg80upJStwIjNq1Cjs2rULCxcuhK2tLRYvXoxJkybBx8cHK1asKFBd5cqVw/Tp03H06FEcOXIEYWFh6NixI86ePQsgM4lp06YNWrdujUOHDuHw4cMYNmwYFArLHnhEhsa1q44BjQPkDoOIiArIxd6yZ/UFCjBGJstvv/2GFStWoHnz5ujXrx+aNGmCoKAg+Pv7Y9WqVejVq5fRdXXo0MHg8dSpU7Fw4UIcOHAA1atXx/vvv48RI0ZgzJgx+n0qV65c0JDJAoxvXx2xT58h6gwH/xIRWYvSGju5Q8hXgROZx48fIzAwEACg0Wjw+PFjAEDjxo0xZMiQQgei1Wqxbt06JCUlISQkBPfv38fBgwfRq1cvhIaG4sqVK6hSpQqmTp2Kxo0b51pPamoqUlNT9Y+zxu2kp6cjPT290PFZg6zzs9Tz/PrNYGw/G40MIXckRERkjIwMncHnpzk/X4w9VoETmcDAQFy9ehV+fn6oUqUK1q5diwYNGuC3336Dq6trQavD6dOnERISgpSUFDg5OWHjxo2oVq0aDhw4AACYOHEiZsyYgVq1amHFihVo0aIFzpw5g4oVK+ZY37Rp03KcYXj79u1wcHAocHzWKDo6Wu4QcvV2kIRllxSAhU95TUREwKO4JERFRekfm/PzJaflkHIiCSEK9P141qxZUCqVGDFiBHbs2IEOHTpACIH09HR8/fXXeO+99woUaFpaGm7cuIG4uDisX78eixcvxp49e/D06VM0atQIY8eOxRdffKHfPzg4GO3atcO0adNyrC+nHhlfX188fPgQGo2mQLFZm/T0dERHR6NVq1YWfXv85//7GysO3JI7DCIiykeFUnbYOrKpLJ8v8fHx8PDwQFxcXJ6f3wXukXn//ff1/2/ZsiXOnz+Po0ePIigoCMHBwQUOVK1WIygoCABQt25dHD58GHPmzNGPi6lWrZrB/lWrVsWNGzdyrc/W1ha2trbZylUqlUV/uJuSpZ/r5E41cez6U5yJzb5mFxERWQ5blY3B54k5P1+MPc5L3/7j7++PN954A+7u7hg8ePDLVgedTofU1FQEBATAx8cHFy5cMNh+8eJF+Pv7v/RxSF6/v9cMvq7ZE04iIrIcaRmWvc4SYIJEJsujR4+wZMmSAj1n7Nix+OOPP3Dt2jWcPn0aY8eORUxMDHr16gVJkjBq1CjMnTsX69evx+XLlzF+/HicP38eAwYMMFXYJKO9Y1rCv5S93GEQEVEunmVY/tTsBb60ZEr3799Hnz59EBsbCxcXFwQHB2Pbtm1o1aoVAGDkyJFISUnB+++/j8ePH6NmzZqIjo5GhQoV5AybTGjXh6+h0idRsPycn4io5LG3sfx522RNZIzpwRkzZozBPDJUvCgVEr7hStlERBZJbWP5E+JZfqpFxV5EsA/+07S83GEQEdEL0rSW319udI/MG2+8kef2p0+fvmwsVIKNjaiGmuXc8O7qY3KHQkRE/8/F3vJvyjA6kXFxccl3e58+fV46ICq5IoK9caVGBCp/EoUMuYMhIiK0rl5G7hDyZXQis3Tp0qKMgwhA5piZC19EoMInUfnvTERERapfo0C5Q8gXx8iQxVEqJCzoWVvuMIiISjy1Fdy1ZPkRUokUEeyDQU0C5A6DiKjEUlnJknhMZMhijWtXHYOa8G4mIiI5uDrIOkOL0ZjIkEUb164aFvSsw7WyiYjMzNnOctfsex4TGbJ4EcHeuPxFBALcuZwBEZG5pGotf3kCgIkMWQmlQkLMx2F4xcdZ7lCIiEoEa1ieAGAiQ1bmtxFN0TeUq58TERU1a1ieAGAiQ1Zo4us1OAiYiKiIpWVY/vIEABMZslJZg4CJiKhoPMvgGBmiIhUR7I0rX0TA3ob3NBERmRrHyBCZgVIh4dyUCNTw1sgdChFRscIxMkRm9Pt7TTCnRy3ON0NEZCIcI0NkZh1rlcXlLyLQ1gpWayUisnQcI0MkA6VCwsLe9TCgcYDcoRARWbUyznZyh2AUJjJULI1vXx0DGvkDEHKHQkRklcJreMkdglGYyFCxNaZNZfSrpIPaOsarERFZlH6NAuUOwShMZKhYq1VK4NRnrdD+FW+5QyEisipq3n5NZBmUCgnzetXhBHpEREZSWdEtoExkqMSICPbGxSlt5Q6DiMjiuTrYyB2C0ZjIUImitlHgvRZBcodBRGTRNHYquUMwGhMZKnFGtKjEFz4RUR4UCuu5tsT3cypxlAoJc3vUkjsMIiKLpVJaT3pgPZESmVD7WmXxWiV3ucMgIrJI1rI8AcBEhkqwpf1D+AdARJQDa1meAGAiQyXc0r715Q6BiMji2FvJHDIAExkq4RpX8pQ7BCIii6O2sZ4p0ZnIUImmVEgY9loFucMgIrIoHCNDZEXeb1VZ7hCIiCwKx8gQWRGlQsKCnrXlDoOIyGLYq6wnPbCeSImKUESwD9rVKC13GEREFsHTyU7uEIzGRIbo/83tWY9/EEREAGr6ucodgtH4vk30/5QKCfN4iYmICE2CrKeHmokM0XMign0wqEmA3GEQEcmqYYVScodgNCYyRC8Y1646BjQOkDsMIiJZKJDZQ20tmMgQ5WB8++qo5+8qdxhERGantp658AAwkSHK1epBIXKHQERkdiorWp4AYCJDlCu1jQIDGvvLHQYRkVl5OtnKHUKBMJEhysP49jVQw8dJ7jCIiMzGTmVd15aYyBDl4/cRzVDDx1nuMIiIzMKa1lkCmMgQGeX3EU0RVpkrZRNR8WdN6ywBTGSIjPZDvwZoVZXJDBEVb/Yc7EtUfC3qXV/uEIiIipTahmNkiIotrpRNRMUdx8gQFXNcxoCIijOOkSEqAca1q45BTcrLHQYRkclxjAxRCTGuXTXM68HLTERUvHCMDFEJ0r6WD+Z2qyV3GEREJuPjai93CAXCRIboJb1epyxa8rZsIiomXg0sJXcIBSJrIrNw4UIEBwdDo9FAo9EgJCQEW7ZsybafEAJt27aFJEnYtGmT+QMlysfiyAZoWbW03GEQEb20yFDrGv8nayJTrlw5TJ8+HUePHsWRI0cQFhaGjh074uzZswb7zZ49G5IkyRQlkXEWR9bHN29xzAwRWS8JmQvmWhNZo+3QoQMiIiJQsWJFVKpUCVOnToWTkxMOHDig3+fEiROYOXMmfvjhBxkjJTJOh5o+uPJFBMo4q+UOhYiowGyssM/ARu4Asmi1Wqxbtw5JSUkICQkBACQnJ6Nnz56YP38+vLy8jKonNTUVqamp+sfx8fEAgPT0dKSnp5s+cAuSdX7F/TyNJWd77PmoGapNiIZ1zcZARCWdQpHze6Yc76fGHkv2ROb06dMICQlBSkoKnJycsHHjRlSrVg0A8P777yM0NBQdO3Y0ur5p06Zh0qRJ2cq3b98OBwcHk8VtyaKjo+UOwaLI1R59K0n44WJWp6cVfs0hohLHDjpERUXlut2c76fJyclG7ScJIUQRx5KntLQ03LhxA3FxcVi/fj0WL16MPXv24PLly/jwww9x/PhxODk5ZQYrSdi4cSM6deqUa3059cj4+vri4cOH0Gg0RX06skpPT0d0dDRatWoFlUoldziys4T22Hb2Ht5fexLp7JohIitQ2dMBv49onK1cjvfT+Ph4eHh4IC4uLs/Pb9l7ZNRqNYKCggAAdevWxeHDhzFnzhzY29vjypUrcHV1Ndi/S5cuaNKkCWJiYnKsz9bWFra2ttnKVSpViflwL0nnagw526N9rXJoG1wWw1YdxZaz92SJgYjIWFoh8ny/NOf7qbHHsbihyTqdDqmpqRgzZgxOnTqFEydO6H8AYNasWVi6dKm8QRIVgFIhYWHvelzSgIgsnrWtswTI3CMzduxYtG3bFn5+fkhISMDq1asRExODbdu2wcvLK8cBvn5+fihfnh8IZH3GtauG2r5uGLHmGKzwvYKISgBrW2cJkDmRuX//Pvr06YPY2Fi4uLggODgY27ZtQ6tWreQMi6jIRAR7I7xGBP679RwW/XFV7nCIiAxY2zpLgMyJzJIlSwq0v8zjkolMQqmQMCaiGi7dT8TO8w/kDoeISC8tQyt3CAVmfX1IRMXEkr4N8EpZZ7nDICLSs8YxMkxkiGT02/Cm6N8oQO4wiIgAWOcYGeuLmKiY+axDdczrwTWaiEh+1jhGhokMkQVoX8uHyQwRyS5NyzEyRFRI7Wv5YEBjf7nDIKISzMU++4Sylo6JDJEFGd++BlpU8ZQ7DCIqoVpXLyN3CAXGRIbIwizp2wC1eDcTEcmgX6NAuUMoMCYyRBZow9AmcodARCWMBEDNu5aIyBSUCgldavvIHQYRlSBKSe4ICoeJDJGFmtalptwhEFEJ4mxnfbdeA0xkiCyW2kYBb2e13GEQUQlRWmMndwiFwkSGyIJ1rFNW7hCIqITQaq1veQKAiQyRRWsSVFruEIiohLDGdZYAJjJEFq1hhVJyh0BEJYQ1rrMEMJEhsmhKhYT6fi5yh0FEJYA1rrMEMJEhsngjWlSWOwQiKgHSMqxvnSWAiQyRxQut6CF3CERUAnCMDBEVCU6OR0TmwDEyRFRkODkeERU1jpEhoiKjtlGgQil7ucMgomKMY2SIqEhNfP0VuUMgomLMWsfI2MgdgCUQQiAjIwNarXVmo1nS09NhY2ODlJQUqz8XUyhu7VHH1wllnc3X9asTQFK6QEKqDsJsRyUiuZRxts4lCkp8IpOWlobY2FgkJyfLHcpLE0LAy8sLN2/ehCRZ6TKmJlQc2+Prtj6IT8kw2/G0Oh1O3U3BmjMJeJxind/WiMg44TW85A6hUEp0IqPT6XD16lUolUr4+PhArVZb9QeeTqdDYmIinJycoFDwqmFxbA8hBC7eSzDf8bQZcHF8ggBXFT7Z+RAZ7JohKrb6NQqUO4RCKdGJTFpaGnQ6HXx9feHg4CB3OC9Np9MhLS0NdnZ2xeaD+2UU1/Yo4wbcT0g1y7EkGzUcXJVwe5YCDwcl7iZZ/yU6IsqZmrdfW6/i9CFHxV8ZjZmvY0sSAAlK/pkQFVvWeeN1Jr41EVkZSZLMn8wQUbFmr7LeYRVMZIq55ORkdOnSBRqNBpIk4enTpzmW5aV58+YYOXKkWeItKSRJwqZNmwr9/NLOtqYLhohKPGc7ldwhFBoTGRPQ6gT+uvIIv564jb+uPIJWV/QjIm/evIn+/fvrByn7+/tj5MiRePz4scF+y5cvx969e7F//37ExsbCxcUlxzJrlZaWhq+++go1a9aEg4MDPDw80KhRIyxduhTp6ekG+/71119QKpVo166dTNH+KzY2Fm3bti308yVJgqu99b7xEJFlUSist0emRA/2NYWtZ2Ix6be/ERuXoi/zdrHDhA7V0KaGd5Ec859//kFISAgqVaqEn376CeXLl8fZs2cxatQoREVF4cCBA/DwyFxo8MqVK6hatSpq1Kihf35OZeaWlpYGtVr90nWEh4fj5MmT+Pzzz9GoUSNoNBocOHAAM2bMQM2aNREY+O8o/CVLlmD48OFYsmQJ7ty5Ax+fgq1fZIqYs3h5vfxtjuXcHfD0dpwJoiGiks5eZb39GtYbuQXYeiYWQ348ZpDEAMDduBQM+fEYtp6JLZLjDh06FGq1Gtu3b0ezZs3g5+eHtm3bYvv27YiNjcWnn34KIPOS0MyZM/HHH39AkiQ0b948xzIAWLBgASpWrAg7OzuUKVMGXbt2NTimTqfDxx9/DHd3d3h5eWHixIkG22/cuIGOHTvCyckJGo0G3bp1w7179/TbJ06ciFq1amHx4sUoX7487Owyx3g8ffoUAwcOhKenJzQaDcLCwnDy5Emj2mH27Nn4448/sHPnTgwdOhS1atVCYGAgevbsiYMHD6JixYr6fRMTE/Hzzz9jyJAhaNeuHZYtW5Zv/QEBAfj888/Rp08faDQaDB48GADw559/okmTJrC3t4evry9GjBiBpKQk/fNiY2PRrl072Nvbo3z58li9ejUCAgIwe/Zs/T4vXlo6ffo0wsLCYG9vj1KlSmHw4MFITEzUb+/bty86deqEGTNmwNvbG6VKlcLwYcOgELyLiIhenrWuswQwkSk0rU5g0m9/5zjjaVbZpN/+NvllpsePH2Pbtm149913YW9vuPaOl5cX3nzzTaxduxZCCPzyyy8YNGgQQkJCEBsbi19++SXHsiNHjmDEiBGYPHkyLly4gK1bt6Jp06YGdS9fvhyOjo44ePAgvvrqK0yePBnR0dEAMpOcjh074vHjx9izZw+io6Pxzz//oHv37gZ1XL58GRs2bMAvv/yCEydOAADefPNN3L9/H1u2bMHRo0dRp04dtGjRItslspysWrUKLVu2RO3atbNtU6lUcHR01D9eu3YtqlSpgsqVK+Ptt9/GDz/8ACHy/91k9ewcP34c48ePx5UrV9CmTRt06dIFp06dws8//4w///wTw4YN0z+nT58+uHPnDmJiYrBhwwZ89913uH//fq7HSEpKQnh4ONzc3HD48GGsW7cOO3bsMKgTAHbv3o0rV65g9+7dWL58OZYtW4bdv63L9xyIiPJjressAby0VGiHrj7O1hPzPAEgNi4Fh64+RkiFUiY77qVLlyCEQNWqVXPcXqlSJTx58gQPHjxA6dKl4eDgALVabXAp48WymJgYODo6on379nB2doa/v3+25CA4OBgTJkwAAFSsWBHz5s3Dzp070apVK+zcuROnT5/G1atX4evrCwBYsWIFqlevjsOHD6N+/foAMi/NrFixAp6engAyezYOHTqE+/fvw9Y2c/DqjBkzsGnTJqxfv17fA5JXW2T1KOVnyZIlePvttwEAbdq0QVxcHPbs2ZPv88PCwvDhhx/qHw8cOBC9evXSD36uWLEi5s6di2bNmmHhwoW4du0aduzYgcOHD6NevXoAgMWLFxv0Dr1o9erVSElJwYoVK/TJ17x589ChQwd8+eWXKFOmDADAzc0N8+bNg1KpRJUqVdCuXTvs+yMGzV/vwSUEiOilWOs6SwB7ZArtfkLuSUxh9isoY3oTjNWqVSv4+/sjMDAQvXv3xqpVq7It2RAcHGzw2NvbW9/LcO7cOfj6+uqTGACoVq0aXF1dce7cOX2Zv7+/PokBgJMnTyIxMRGlSpWCk5OT/ufq1au4cuVKvnEb2wYXLlzAoUOH8NZbbwEAbGxs0L17dyxZsiTf52YlI8/HvGzZMoN4w8PD9bNEX7hwATY2NqhTp47+OUFBQXBzc8v1GOfOnUPNmjUNepAaNWoEnU6HCxcu6MuqV68OpfLf7t+s34Gvu/VP5khE8rK30snwAPbIFFppIxfXMnY/YwUFBUGSJJw7dw6dO3fOtv3ixYtwc3MzSBjy4+zsjGPHjiEmJgbbt2/HZ599hokTJ+Lw4cNwdXUFkHmp5nmSJEGnK1gG//wHNZA5bsXb2xsxMTHZ9s06bl4qVaqE8+fP57vfDz/8gIyMDIPBvUII2NraYt68eXnetZVTzP/5z38wYsSIbPv6+fnh4sWL+cZTWLn9Dlwd1HianGbWNZiIqHjhGJkSqEF5d3i72CG3G9YkZN691KC8u0mPW6pUKbRq1QoLFizAs2fPDLbdvXsX69atQ7du3Qq8ZpSNjQ1atmyJr776CqdOncK1a9ewa9cuo55btWpV3Lx5Ezdv3tSX/f3333j69CmqVauW6/Pq1KmDu3fvwsbGBkFBQQY/WXdd5aVnz57YsWMHjh8/nm1beno6kpKSkJGRgZUrV2LmzJk4ceKE/ufkyZPw8fHBTz/9ZNQ5Ph/z33//nS3eoKAgqNVqVK5cGRkZGQYxXb58GU+ePMm1zqpVq+LkyZMGA4b37dsHhUKBypUrGxVXgIcTbK34GxURycuax8jwna+QlAoJEzpkfki/mDJkPZ7QoRqURXBv/rx585Camorw8HD88ccfuHnzJrZu3Yrw8HB4e3tjypQpBarv999/x9y5c3HixAlcv34dK1asgE6nM/pDtGXLlnjllVfQq1cvHDt2DIcOHUKfPn3QrFmzbJdmXnxeSEgIOnXqhO3bt+PatWvYv38/xo0bhyNHjuR73JEjR6JRo0Zo0aIF5s+fj5MnT+Kff/7B2rVr0bBhQ1y6dAnbtm3DkydPMGDAANSoUcPgp0uXLkZdXnre6NGjsX//fgwbNgwnTpzApUuX8Ouvv+oH5lapUgUtW7bE4MGDcejQIRw/fhyDBw+Gvb19rsllr169YGdnh8jISJw5cwa7d+/G8OHD0bt3b/34GGNUKuNcoHMhIsrCMTIlVJsa3lj4dh14uRhePvJyscPCt+sU2TwyFStWxJEjRxAYGIhu3bqhQoUKGDx4MJo3b47t27fD3b1gvUCurq745ZdfEBYWhqpVq2LRokX46aefUL16daOeL0kSfv31V7i5uaFp06Zo2bIlAgMD8fPPP+f7vKioKDRt2hT9+vVDpUqV0KNHD1y/ft2oD3BbW1tER0fj448/xrfffouGDRuifv36mDt3LkaMGIEaNWpg5cqVaNGiRY6Xj7p06YIjR47g1KlTRp0nkDlWaM+ePbh48SKaNGmC2rVr47PPPjO4bLVixQqUKVMGTZs2RefOnTFo0CA4Ozvrbzl/kYODA7Zt24bHjx+jfv366Nq1K1q0aIF58+YZHRfASfKIqPCseR4ZSZhy1KgFio+Ph4uLC+Li4qDRaAy2paSk4OrVqwbzmhSGVidw6Opj3E9IQWnnzMtJRdETkx+dTof4+HhoNBouhAnLaY9bt27B19cXO3bsQIsWLYr0WDohcMbEk+SJjDTcv3MLE3ffx+0E6+1+JqLchZR3w0//Cc11e3p6OqKiohAREZFtvF5Ryevz+3kc7GsCSoVk0lusybrt2rULiYmJeOWVVxAbG4uPP/4YAQEB2ebmKQoKSYKHky0eJqYW+bGIqPio6ecqdwiFxq/tZLGqV69ucJvz8z+rVq2SO7xcpaen45NPPkH16tXRuXNneHp6IiYmxmzfYnxc7Tnwl4gKpElQablDKDT2yJDFioqKyrbwY5aCDII1t/DwcISHh8saQ6UyzjhzO44T5RGRURpa8VUFJjJksfz9/eUOwWpJkgQ/dwdcf5yc/85EVKIpAFnGdZoK+5+JiikXBzU8nEyzWjcRFV9q650LDwATGaJizcfVAWqOlyGiPKis/D3CuqMnonxV5kR5RJQHTydbuUN4KUxkiIq5rPEyREQ5sVNZ97UlJjJEJYCrgxrOdhzbT0TZWfM6SwATGXoJkiRh06ZN+sfnz59Hw4YNYWdnh1q1auHatWuQJAknTpx4qeM0b94cI0eOzHX7xIkTUatWrZc6Rm769u2LTp06FUndppZfO/m7O8DGem9MIKIiYs3rLAFMZExDpwWu7gVOr8/8V1e02e2DBw8wZMgQ+Pn5wdbWFl5eXggPD8e+ffuK9Lgvio2NRdu2bfWPJ0yYAEdHR1y4cAE7d+6Er68vYmNjUaNGDbPGZYwXk7Di4JdffsHnn3+e5z7ez11hun3zBmr6uuH82dNFHBkRWTJ7Kx/sy77ml/X3ZmDraCD+zr9lGh+gzZdAtdeL5JBdunRBWloali9fjsDAQNy7dw87d+7Eo0ePiuR4ufHy8jJ4fOXKFbRr185g/pcX96GiY8xioZIE+Lk54MYTzi9DRJnUNhwjU2gLFy5EcHAwNBoNNBoNQkJCsGXLFgDA48ePMXz4cFSuXBn29vbw8/PDiBEjEBdn2gXxXsrfm4G1fQyTGACIj80s/3uzyQ/59OlT7N27F19++SVee+01+Pv7o0GDBhg7dixef/3fxEmSJCxcuBBt27aFvb09AgMDsX79eoO6bt68iW7dusHV1RXu7u7o2LEjrl27ZrDPDz/8gOrVq8PW1hbe3t4YNmyYwTGyejUkScLRo0cxefJkSJKEiRMn5nhp6cyZM2jbti2cnJxQpkwZ9O7dGw8fPtRvT0pKQp8+feDk5ARvb2/MnDmzwG10+PBhtGrVCqVLl4afnx9ee+01HDt2TL89ICAAANC5c2dIkqR/bIzU1FSMGDECpUuXhp2dHRo3bozDhw/rt8fExECSJOzcuRP16tWDg4MDQkNDceHChVzrzGqnNWvWIDQ0FHZ2dqhRowb27NljsN+ePXvQoEED/e9izJgxyMjI0G9/8dJSQEAAvvjiC/Tv3x/Ozs4ICAjAsmXLoLG3gaeTLSJCawIAurdpipq+bhjwZnuj24GIig+OkXkJ5cqVw/Tp03H06FEcOXIEYWFh6NixI86ePYs7d+7gzp07mDFjBs6cOYNly5Zh69atGDBggJwh/0unzeyJyXES+P8v2zrG5JeZstYa2rRpE1JT814YcPz48ejSpQtOnjyJXr16oUePHjh37hyAzPWAwsPD4ezsjL1792Lfvn1wcnJCmzZtkJaWBiAz0Rw6dCgGDx6M06dPY/PmzQgKCsrxWLGxsahevTo+/PBDxMbG4qOPPsq2z9OnTxEWFobatWvjyJEj2Lp1K+7du4du3brp9xk1ahT27NmDX3/9Fdu3b0dMTIxBEmKMhIQEREZG4o8//kB0dDSCgoIQERGBhIQEANAnHkuXLkVsbKxBIpKfjz/+GBs2bMDy5ctx7NgxBAUFITw8HI8fPzbYb9y4cZg5cyaOHDkCGxsb9O/fP9+6R40ahQ8//BDHjx9HSEgIOnTooO9lu337NiIiIlC/fn2cPHkSCxcuxJIlSzBlypQ865w5cybq1auH48ePY8iQIfjwww9x4cIFeLva4387/wAAfPfTJuw8eh5ff7fS6HYgouLD2sfIyHppqUOHDgaPp06dioULF+LAgQMYMGAANmzYoN9WoUIFTJ06FW+//TYyMjJgYyPzVbHr+7P3xBgQQPztzP3KNzHZYW1sbLBs2TIMGjQIixYtQp06ddCsWTP06NEj21iUN998EwMHDgQAfP7554iOjsY333yDBQsW4Oeff4ZOp8PixYshSZkjQJcuXQpXV1fExMSgdevWmDJlCj788EO89957+jrr16+fY1xeXl6wsbGBk5OT/nLS8z0tADBv3jzUrl0bX3zxhb7shx9+gK+vLy5evAgfHx8sWbIEP/74I1q0aAEAWL58OcqVK1egNgoLCwMA6HQ6xMfH49tvv4W7uzv27NmD9u3bw9PTEwDg6upaoEtfSUlJWLhwIZYtW6YfG/T9998jOjoaS5YswahRo/T7Tp06Fc2aNQMAjBkzBu3atUNKSgrs7OxyrX/YsGHo0qULgMwkcuvWrViyZAk+/vhjLFiwAL6+vpg3bx4kSUKVKlVw584djB49Gp999hkUipy/k0RERODdd98FkJmEzZo1C7t370bVqlVRLdAXAODi5g6P0pa7dhURFS1rHyNjMdFrtVqsWbMGSUlJCAkJyXGfuLg4aDQa+ZMYAEi8Z9r9CqBLly64c+cONm/ejDZt2iAmJgZ16tTBsmXLDPZ7sR1DQkL0PTInT57E5cuX4ezsrO/lcXd3R0pKCq5cuYL79+/jzp07+oTCFE6ePIndu3cbrGJdpUoVAJnja65cuYK0tDS8+uqr+ue4u7ujcuXKBTrOvXv3MGjQIFSuXBl+fn5wdXVFYmIibty4ketzbty4YRDX88lWlitXriA9PR2NGjXSl6lUKjRo0EDfrlmCg4P1//f29gYA3L9/P8+4n/992djYoF69evp6z507h5CQEH3SCQCNGjVCYmIibt26lWudz8chSRJKly6NBw8eGOzjpLaAvyciko21j5GR/R3s9OnTCAkJQUpKCpycnLBx40ZUq1Yt234PHz7E559/jsGDB+dZX2pqqsEll/j4eACZl1JeXEk5PT0dQgjodDrodAXsWnMsbVQWqHMsDRS0biOo1Wq0aNECLVq0wLhx4zBo0CBMmjQJb7zxBoTIvLT14nk9X56QkIC6deti5crslxM8PT313/Dza5ucjpH1+Pl/s47Zvn17TJ8+PVs93t7euHz5cq7HfL7eFz1/XgDQp08fPH78GF9//TU8PDzg7u6Oxo0bIzU11aCO54/j5eVlcAnL3d0dOp0OQohsr5GczvnFfZRKpf7/WfFlZGTkeA7G1Pv8//N63ov72NjYGGyTJAlardbw3F1sobGzQXzKv+NtiKjkSMvQZvt8fFHW9vz2MyVjjyV7IlO5cmWcOHECcXFxWL9+PSIjI7Fnzx6DZCY+Ph7t2rVDtWrVMHHixDzrmzZtGiZNmpStfPv27XBwMJzd1MbGBl5eXkhMTNSPCzGaa3VonLwhJd6FlMM4GQEJwskL8a7Vgf9PpopSYGAgEhMTAUA/FmTv3r0Gc6Ds378fr7zyCuLj41G1alX8/PPPsLOzg0ajyR6/EPDz88OWLVtQt27dXI/77NkzfbKo1WqRmpqqf5wVT1JSEuLj41G9enX89ttvcHd3z9arptVq4enpCZVKhZiYGH3cT58+xcWLF9GwYUN9vS9KTU2FVqvVb9+/fz/++9//okmTzEt6t27dwsOHD5GSkqLfR6VSITEx0aDO0qVLG9QbHx+P9PR0ZGRkID4+Hp6enlCr1dixYwfefPNNAJl/aIcPH8Y777yD+Ph4JCcn638HWclgUlKSvj1yOoesdtqzZ49+PpyMjAwcOXIEgwYNQnx8PAIDA/Hbb78hLi5O3yuzc+dOODs7Q6PRID4+HhkZGUhLS9MfQ6fTGZxzlqx9shL++Ph4BNpkQKiABPO9RxGRhch4loSoqCij9o2Oji7iaP6V9X6aH9kTGbVarR9AWrduXRw+fBhz5szBt99+CyDzA6FNmzZwdnbGxo0boVKp8qxv7Nix+OCDD/SP4+Pj4evri9atW2f7wE5JScHNmzfh5OSU59iFXLX9ElgXCQHJIJkRkPTbNa5uBa83D48ePUL37t3Rt29fBAcHw9nZGUeOHME333yDjh07AgCcnTPX1tm8eTNCQkLQuHFjrF69GkePHsUPP/wAjUaDAQMGYP78+YiMjMTEiRNRrlw5XL9+HRs3bsSoUaNQrlw5TJw4Ee+++y58fX3Rpk0bJCQkYP/+/QZ3Ltnb2+vbValUwtbWVv/YyckJAODo6AiNRoP3338fK1euxDvvvINRo0bB3d0dly9fxs8//4zvv/8eGo0G/fv318dTunRpfPrpp1AoFFCr1TkmXABga2sLpVKp316xYkVs2LABjRs3xt27dzFp0iTY29sbJG0BAQH466+/0LJlS9ja2sLNLeffk0qlgo2Njf7OunfeeQcTJ05E2bJl4efnh//+97949uwZ3n33XWg0Gn2ynJVgZJ1/VnvkdA5Z7fTDDz+gRo0aqFq1KmbPno24uDgMGTIEGo0GI0eOxKJFi/Dpp59i6NChuHDhAr788ku8//77cHV1BZCZmD/fTgqFwuCcs3qGsvZxcHCAvb09/vzzT1SuXBmudnaAUoUE9swQlSjdGldCROPAPPdJT09HdHQ0WrVqle/nsKnk9uX1RbInMi/S6XQG3xTDw8Nha2uLzZs3G5Vs2NrawtY2+wJYKpUqW+NrtVpIkgSFQpHrYMk8Ve8ISCuyzSMjaXyANtMhFcE8MhqNBq+++irmzJmjH7Ph6+uLQYMGYcyYMUhPT9d/Y580aRLWrl2LYcOGwdvbGz/99JN+QLCTkxP++OMPjB49Gl27dkVCQgLKli2LFi1awNXVFQqFAv369UNaWhpmzZqFUaNGwcPDA127djVoqxfbLqs9s7Y9v0+5cuWwb98+jB49Gm3atEFqair8/f3Rpk0b2NjYQJIkzJgxA0lJSejYsSOcnZ3x4YcfIj4+3qDeF2Wdb9b2JUuWYPDgwahfvz7Kli2LL774Ah9//LFBHTNnzsQHH3yAxYsXo2zZstluO3++7uef9+WXX0IIgcjISCQkJKBevXrYtm0bSpUqleM551b2vKyy6dOn46uvvsKJEycQFBSEzZs363uJfH19ERUVhVGjRqF27dpwd3fHgAEDMH78+Fzb/8XHWZeSssrUajXmzp2LyZMnY8KECWjSpAliYmJw6V4CnqVb9+2YRGS8gU0qGr0Cdk6fpUXF2ONIIutrmgzGjh2Ltm3bws/PDwkJCVi9ejW+/PJLbNu2Da+++ipat26N5ORkbNy4Uf+tFsgcw6FUGjc4KT4+Hi4uLvqBws9LSUnB1atXUb58+cL1yGTRaTPvTkq8BziVAfxDAYX5B09l3aWj0WigVCqxceNGq5levyg83x6FSlTN5Nq1ayhfvjyOHz9eZEstAAVrj2sPkxCfknmdSWSk4f6dW5i4+z5uJzDBISpOGvi7Yu2QRvnul56ejqioKERERJi1Rya3z+/nydojc//+ffTp0wexsbFwcXFBcHAwtm3bhlatWiEmJgYHDx4EgGxzl1y9erVAk5gVOYXSpLdYE8ktwMMRd54+w8PEvOcqIiLr9uOgnO8StiayJjJLlizJdVvz5s0hY2cRUYnn42oPCcD9pwUcCG+lbCRArQQUCgnp6QI6AEoFoJAyy7RaAUkq+HalArBV2UClVKCUowoaBzVS07VIyxCwtVHA1kYBSZKQkqGFrTLz/8/SM7Jtz6ksv+cUZHtyajoePI5D6VIusFPZmKR+U8asVkqIT8nAg8RUpKdnIEPApL+nrO2p6QLpJeSj5z9Ny0Nt5XPIABY4RoZMg0mg9QgICLDY35e3qz1sRDoexr58XWoJeP6KliKPDxOdDrBTKVDaxR72NgqkaU3/AW5no4BDyiP0bl0fjSuVgVJRspcG//fSQYjZLh1YKq1OYN/Fe1ix7RCS7UshJUOYLGHM2q5WSniWloH7CalITtNCCECpkKB77r0gp78RnQDSTDCjx3+alsfYiOxTnVgjJjJElCdnezW8Xezx3y418cfVJzh1M87gjTm3N3F7tQ1qlnNFo4oeaBhYyuIShawP7tAKlhcbyUupkBBSoRSeBAhERDSwuMROqxM4cOUR9l6+j1M344xKntK1gLeLHRqUL4XI0IBi0ROThYkMEeVLkoA6AW4IreItdyhEJZ5SIaFRRQ80qughdygWofikZC/BUrv1iSwB/z6IyJKV6EQmq7vQ2NkDiUqirL8PS+teJyICSvilJaVSCVdXV/1ifg4ODgaL8lkbnU6HtLQ0pKSkWPS8KebC9jBU0PYQQiA5ORn379+Hq6ur0XM3ERGZU4lOZIDMxQKB/FcmtgZCCDx79gz29vZWnZCZCtvDUGHbw9XVVf93QkRkaUp8IiNJEry9vVG6dGmzrupZFNLT0/HHH3+gadOmvAwAtseLCtMeKpWKPTFEZNFKfCKTRalUWv0btlKpREZGBuzs7PjBDbbHi9geRFQcceAAERERWS0mMkRERGS1mMgQERGR1Sr2Y2SyJvOKj4+XOZKil56ejuTkZMTHx3MMBNgeL2J7GGJ7GGJ7GGJ7GJKjPbI+t/OblLPYJzIJCQkAAF9fX5kjISIiooJKSEiAi4tLrtslUcznH9fpdLhz5w6cnZ2L/Vwi8fHx8PX1xc2bN6HRaOQOR3ZsD0NsD0NsD0NsD0NsD0NytIcQAgkJCfDx8clzEs9i3yOjUChQrlw5ucMwK41Gwz+857A9DLE9DLE9DLE9DLE9DJm7PfLqicnCwb5ERERktZjIEBERkdViIlOM2NraYsKECbC1tZU7FIvA9jDE9jDE9jDE9jDE9jBkye1R7Af7EhERUfHFHhkiIiKyWkxkiIiIyGoxkSEiIiKrxUSGiIiIrBYTGSs1depUhIaGwsHBAa6urtm2nzx5Em+99RZ8fX1hb2+PqlWrYs6cOdn2W7VqFWrWrAkHBwd4e3ujf//+ePTokRnOwLRM1R6pqakYN24c/P39YWtri4CAAPzwww9mOAPTMlV7ZNm3bx9sbGxQq1atogu6CJmiPX755Re0atUKnp6e0Gg0CAkJwbZt28x0BqZjqtdGTEwM6tSpA1tbWwQFBWHZsmVFH3wRyK89AGDEiBGoW7cubG1tc/0b2LZtGxo2bAhnZ2d4enqiS5cuuHbtWpHFXVRM1R5CCMyYMQOVKlWCra0typYti6lTpxZJzExkrFRaWhrefPNNDBkyJMftR48eRenSpfHjjz/i7NmzGDduHMaOHYt58+bp99m3bx/69OmDAQMG4OzZs1i3bh0OHTqEQYMGmes0TMYU7QEA3bp1w86dO7FkyRJcuHABP/30EypXrmyOUzApU7UHADx9+hR9+vRBixYtijrsImOK9vjjjz/QqlUrREVF4ejRo3jttdfQoUMHHD9+3FynYRKmaIurV6+iXbt2eO2113DixAmMHDkSAwcOtMrELr/2yNK/f3907949x21Xr15Fx44dERYWhhMnTmDbtm14+PAh3njjjaIIuUiZoj0A4L333sPixYsxY8YMnD9/Hps3b0aDBg1MHW4mQVZt6dKlwsXFxah93333XfHaa6/pH//3v/8VgYGBBvvMnTtXlC1b1pQhmtXLtMeWLVuEi4uLePToURFFZ34v0x5ZunfvLj799FMxYcIEUbNmTdMGaGamaI/nVatWTUyaNMkEkZnfy7TFxx9/LKpXr26wT/fu3UV4eLgpQzQrY9ojt7+BdevWCRsbG6HVavVlmzdvFpIkibS0NBNHah4v0x5///23sLGxEefPny+a4F7AHpkSJC4uDu7u7vrHISEhuHnzJqKioiCEwL1797B+/XpERETIGKX5vNgemzdvRr169fDVV1+hbNmyqFSpEj766CM8e/ZMxijN58X2AIClS5fin3/+wYQJE2SKSj45tcfzdDodEhIS8tynuHixLf766y+0bNnSYJ/w8HD89ddf5g7NItStWxcKhQJLly6FVqtFXFwcVq5ciZYtW0KlUskdntn99ttvCAwMxO+//47y5csjICAAAwcOxOPHj4vkeMV+0UjKtH//fvz888/43//+py9r1KgRVq1ahe7duyMlJQUZGRno0KED5s+fL2Ok5pFTe/zzzz/4888/YWdnh40bN+Lhw4d499138ejRIyxdulTGaIteTu1x6dIljBkzBnv37oWNTcl6q8ipPV40Y8YMJCYmolu3bmaMzPxyaou7d++iTJkyBvuVKVMG8fHxePbsGezt7c0dpqzKly+P7du3o1u3bvjPf/4DrVaLkJAQREVFyR2aLP755x9cv34d69atw4oVK6DVavH++++ja9eu2LVrl8mPxx4ZCzJmzBhIkpTnz/nz5wtc75kzZ9CxY0dMmDABrVu31pf//fffeO+99/DZZ5/h6NGj2Lp1K65du4Z33nnHlKdVaOZuD51OB0mSsGrVKjRo0AARERH4+uuvsXz5covolTFne2i1WvTs2ROTJk1CpUqVTH0qJmHu18fzVq9ejUmTJmHt2rUoXbr0y57KS5OzLSxRUbVHbu7evYtBgwYhMjIShw8fxp49e6BWq9G1a1cIC5g839ztodPpkJqaihUrVqBJkyZo3rw5lixZgt27d+PChQsmO06WkvU1y8J9+OGH6Nu3b577BAYGFqjOv//+Gy1atMDgwYPx6aefGmybNm0aGjVqhFGjRgEAgoOD4ejoiCZNmmDKlCnw9vYu0LFMzdzt4e3tjbJlyxosG1+1alUIIXDr1i1UrFixQMcyNXO2R0JCAo4cOYLjx49j2LBhADLfnIQQsLGxwfbt2xEWFlbgczAlc78+sqxZswYDBw7EunXrsl1ekYu528LLywv37t0zKLt37x40Go1F9MYURXvkZf78+XBxccFXX32lL/vxxx/h6+uLgwcPomHDhiY7VmGYuz28vb1hY2Nj8CWoatWqAIAbN26Y/AYKJjIWxNPTE56eniar7+zZswgLC0NkZGSOt70lJydnu2SgVCoBwCK+RZi7PRo1aoR169YhMTERTk5OAICLFy9CoVCgXLlyJoujsMzZHhqNBqdPnzYoW7BgAXbt2oX169ejfPnyJoujsMz9+gCAn376Cf3798eaNWvQrl07kx37ZZm7LXK6bBIdHY2QkBCTxfAyTN0e+UlOToZCYXiBI+u9VKfTmS2O3Ji7PRo1aoSMjAxcuXIFFSpUAJD5XgoA/v7+Jj8eExkrdePGDTx+/Bg3btyAVqvFiRMnAABBQUFwcnLCmTNnEBYWhvDwcHzwwQe4e/cugMw/rqwXdIcOHTBo0CAsXLgQ4eHhiI2NxciRI9GgQQP4+PjIdWqFYor26NmzJz7//HP069cPkyZNwsOHDzFq1Cj079/fIr5lFsTLtodCoUCNGjUM6ixdujTs7OyylVsDU7w+Vq9ejcjISMyZMwevvvqqfh97e3uDXjxLZ4q2eOeddzBv3jx8/PHH6N+/P3bt2oW1a9fmOabIUuXXHgBw+fJlJCYm4u7du3j27Jl+n2rVqkGtVqNdu3aYNWsWJk+ejLfeegsJCQn45JNP4O/vj9q1a8t0ZoVjivZo2bIl6tSpg/79+2P27NnQ6XQYOnQoWrVqVTSXqs1ybxSZXGRkpACQ7Wf37t1CiMzb4nLa7u/vb1DP3LlzRbVq1YS9vb3w9vYWvXr1Erdu3TL/Cb0kU7XHuXPnRMuWLYW9vb0oV66c+OCDD0RycrL5T+glmao9nmfNt1+boj2aNWuW4z6RkZGynFNhmeq1sXv3blGrVi2hVqtFYGCgWLp0qdnPxRTyaw8hcv/dX716Vb/PTz/9JGrXri0cHR2Fp6eneP3118W5c+fMf0IvyVTtcfv2bfHGG28IJycnUaZMGdG3b98im9pCEsICriEQERERFQLvWiIiIiKrxUSGiIiIrBYTGSIiIrJaTGSIiIjIajGRISIiIqvFRIaIiIisFhMZIiIislpMZIjIbK5duwZJkvQzgZqaJEnYtGnTS9czfvx4DB48OM99mjdvjpEjR770sZ63aNEidOjQwaR1EhV3TGSISoi+ffuiU6dOssbg6+uL2NhY/TIHMTExkCQJT58+lTWu5929exdz5szBuHHjzH7s/v3749ixY9i7d6/Zj01krZjIEJHZKJVKeHl5ZVus1JIsXrwYoaGhRbK4XX7UajV69uyJuXPnmv3YRNaKiQwRAQD27NmDBg0awNbWFt7e3hgzZgwyMjL025s3b44RI0bg448/hru7O7y8vDBx4kSDOs6fP4/GjRvDzs4O1apVw44dOwwu9zx/aenatWt47bXXAABubm6QJAl9+/YFAAQEBGD27NkGddeqVcvgeJcuXULTpk31x4qOjs52Tjdv3kS3bt3g6uoKd3d3dOzYEdeuXcuzHdasWZPt8k5SUhL69OkDJycneHt7Y+bMmdmel5qaio8++ghly5aFo6MjXn31VcTExBjs8/3338PX1xcODg7o3Lkzvv76a7i6uhrs06FDB2zevBnPnj3LM04iysREhohw+/ZtREREoH79+jh58iQWLlyIJUuWYMqUKQb7LV++HI6Ojjh48CC++uorTJ48WZ9AaLVadOrUCQ4ODjh48CC+++67PC/P+Pr6YsOGDQCACxcuIDY2FnPmzDEqXp1OhzfeeANqtRoHDx7EokWLMHr0aIN90tPTER4eDmdnZ+zduxf79u2Dk5MT2rRpg7S0tBzrffz4Mf7++2/Uq1fPoHzUqFHYs2cPfv31V2zfvh0xMTE4duyYwT7Dhg3DX3/9hTVr1uDUqVN488030aZNG1y6dAkAsG/fPrzzzjt47733cOLECbRq1QpTp07NFkO9evWQkZGBgwcPGtUWRCVekSxFSUQWJzIyUnTs2DHHbZ988omoXLmy0Ol0+rL58+cLJycnodVqhRCZK942btzY4Hn169cXo0ePFkIIsWXLFmFjYyNiY2P126OjowUAsXHjRiGEEFevXhUAxPHjx4UQmSsoAxBPnjwxqNff31/MmjXLoKxmzZpiwoQJQgghtm3bJmxsbMTt27f127ds2WJwrJUrV2Y7p9TUVGFvby+2bduWYzscP35cABA3btzQlyUkJAi1Wi3Wrl2rL3v06JGwt7cX7733nhBCiOvXrwulUmkQjxBCtGjRQowdO1YIIUT37t1Fu3btDLb36tVLuLi4ZIvDzc1NLFu2LMcYiciQ5V6oJiKzOXfuHEJCQiBJkr6sUaNGSExMxK1bt+Dn5wcACA4ONniet7c37t+/DyCzV8XX1xdeXl767Q0aNCiyeH19feHj46MvCwkJMdjn5MmTuHz5MpydnQ3KU1JScOXKlRzrzbqcY2dnpy+7cuUK0tLS8Oqrr+rL3N3dUblyZf3j06dPQ6vVolKlSgb1paamolSpUgAy26dz584G2xs0aIDff/89Wxz29vZITk7OMUYiMsREhoiMplKpDB5LkgSdTmfy4ygUCgghDMrS09MLVEdiYiLq1q2LVatWZdvm6emZ43M8PDwAAE+ePMl1n9yOpVQqcfToUSiVSoNtTk5OBYg60+PHjwt0fKKSjGNkiAhVq1bFX3/9ZZA87Nu3D87OzihXrpxRdVSuXBk3b97EvXv39GWHDx/O8zlqtRpA5via53l6eiI2Nlb/OD4+HlevXjWI9+bNmwb7HDhwwKCOOnXq4NKlSyhdujSCgoIMflxcXHKMp0KFCtBoNPj7778NylQqlcGYlSdPnuDixYv6x7Vr14ZWq8X9+/ezHSurh6py5crZ2iOn9rly5QpSUlJQu3btHGMkIkNMZIhKkLi4OJw4ccLg5+bNm3j33Xdx8+ZNDB8+HOfPn8evv/6KCRMm4IMPPoBCYdzbRKtWrVChQgVERkbi1KlT2LdvHz799FMAMLhk9Tx/f39IkoTff/8dDx48QGJiIgAgLCwMK1euxN69e3H69GlERkYa9HS0bNkSlSpVQmRkJE6ePIm9e/dmG1jcq1cveHh4oGPHjti7dy+uXr2KmJgYjBgxArdu3coxHoVCgZYtW+LPP//Ulzk5OWHAgAEYNWoUdu3ahTNnzqBv374G7VKpUiX06tULffr0wS+//IKrV6/i0KFDmDZtGv73v/8BAIYPH46oqCh8/fXXuHTpEr799lts2bIlW9vs3bsXgYGBqFChglHtTlTiyT1Ih4jMIzIyUgDI9jNgwAAhhBAxMTGifv36Qq1WCy8vLzF69GiRnp6uf36zZs30g1uzdOzYUURGRuofnzt3TjRq1Eio1WpRpUoV8dtvvwkAYuvWrUKI7IN9hRBi8uTJwsvLS0iSpK8rLi5OdO/eXWg0GuHr6yuWLVtmMNhXCCEuXLggGjduLNRqtahUqZLYunWrwWBfIYSIjY0Vffr0ER4eHsLW1lYEBgaKQYMGibi4uFzbKSoqSpQtW1Y/yFmIzAG/b7/9tnBwcBBlypQRX331Vbb2SEtLE5999pkICAgQKpVKeHt7i86dO4tTp07p9/nuu+9E2bJlhb29vejUqZOYMmWK8PLyMjh+69atxbRp03KNj4gMSUK8cCGaiMhE9u3bh8aNG+Py5ctW08MghMCrr76K999/H2+99VaRHmvQoEE4f/68fibfs2fPIiwsDBcvXsz18hcRGeJgXyIymY0bN8LJyQkVK1bE5cuX8d5776FRo0ZWk8QAmZfBvvvuO5w+fdrkdc+YMQOtWrWCo6MjtmzZguXLl2PBggX67bGxsVixYgWTGKICYI8MEZnMihUrMGXKFNy4cQMeHh5o2bIlZs6cqb8FuaTr1q0bYmJikJCQgMDAQAwfPhzvvPOO3GERWTUmMkRERGS1eNcSERERWS0mMkRERGS1mMgQERGR1WIiQ0RERFaLiQwRERFZLSYyREREZLWYyBAREZHVYiJDREREVouJDBEREVmt/wMe6nKJ9BVLQQAAAABJRU5ErkJggg==",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -888,14 +879,12 @@
{
"cell_type": "code",
"execution_count": 11,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- ""
+ ""
]
},
"execution_count": 11,
@@ -904,21 +893,19 @@
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Get WIND Toolkit and NDBC wind data for 2018-01-11\n",
- "ndbc_hourly_data = ndbc_dict[\"2018\"][\"2018-01-11\"].resample(\"h\").nearest()\n",
- "wtk_hourly_wind = wtk_wind[\"2018-01-11\"]\n",
+ "ndbc_hourly_data = ndbc_dict[\"2018\"].loc[\"2018-01-11\"].resample(\"h\").nearest()\n",
+ "wtk_hourly_wind = wtk_wind.loc[\"2018-01-11\"]\n",
"\n",
"# Plot the timeseries\n",
"fig = plt.figure()\n",
@@ -961,14 +948,12 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -992,14 +977,12 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1017,7 +1000,7 @@
"metadata": {},
"source": [
"### Plot vertical temperature profile\n",
- "The air temperature at several vertical levels can be downloaded from the WIND Toolkit dataset. More or less vertical levels can be defined in the parameter input to `request_wtk_point_data` to increase resolution or decrease computation expense as desired. Note that times are given in UTC, can can optionally be converted to local time by finding the time zone of the chosen latitude/longitude pair. "
+ "The air temperature at several vertical levels can be downloaded from the WIND Toolkit dataset. More or less vertical levels can be defined in the parameter input to `request_wtk_point_data` to increase resolution or decrease computation expense as desired. Note that times are given in UTC, can optionally be converted to local time by finding the time zone of the chosen latitude/longitude pair. "
]
},
{
@@ -1028,7 +1011,7 @@
{
"data": {
"text/plain": [
- ""
+ ""
]
},
"execution_count": 14,
@@ -1037,14 +1020,12 @@
},
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- ""
+ ""
]
},
- "metadata": {
- "needs_background": "light"
- },
+ "metadata": {},
"output_type": "display_data"
}
],
@@ -1098,7 +1079,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.7"
+ "version": "3.11.9"
}
},
"nbformat": 4,
diff --git a/mhkit/tests/wave/io/hindcast/test_hindcast.py b/mhkit/tests/wave/io/hindcast/test_hindcast.py
index 13ba69c0d..26847dc64 100644
--- a/mhkit/tests/wave/io/hindcast/test_hindcast.py
+++ b/mhkit/tests/wave/io/hindcast/test_hindcast.py
@@ -47,44 +47,49 @@ def setUpClass(cls):
"""
Intitialize the WPTO hindcast test with expected data
"""
- cls.my_swh = pd.read_csv(
- join(datadir, "hindcast/multi_year_hindcast.csv"),
+ cls.sy_swh = pd.read_csv(
+ join(datadir, "hindcast/single_year_hindcast.csv"),
index_col="time_index",
names=["time_index", "significant_wave_height_0"],
header=0,
dtype={"significant_wave_height_0": "float32"},
)
- cls.my_swh.index = pd.to_datetime(cls.my_swh.index)
+ cls.sy_swh.index = pd.to_datetime(cls.sy_swh.index)
- cls.ml = pd.read_csv(
- join(datadir, "hindcast/single_year_hindcast_multiloc.csv"),
- index_col="time_index",
- names=["time_index", "mean_absolute_period_0", "mean_absolute_period_1"],
+ cls.sy_meta = pd.read_csv(
+ join(datadir, "hindcast/single_year_meta.csv"),
+ names=[
+ "water_depth",
+ "latitude",
+ "longitude",
+ "distance_to_shore",
+ "timezone",
+ "jurisdiction",
+ "gid",
+ ],
header=0,
dtype={
- "mean_absolute_period_0": "float32",
- "mean_absolute_period_1": "float32",
+ "water_depth": "float32",
+ "latitude": "float32",
+ "longitude": "float32",
+ "distance_to_shore": "float32",
+ "timezone": "int16",
+ "gid": "int64",
},
)
- cls.ml.index = pd.to_datetime(cls.ml.index)
- cls.mp = pd.read_csv(
- join(datadir, "hindcast/multiparm.csv"),
+ cls.my_odwp = pd.read_csv(
+ join(datadir, "hindcast/multi_year_hindcast.csv"),
index_col="time_index",
- names=["time_index", "energy_period_0", "mean_zero-crossing_period_0"],
+ names=["time_index", "omni-directional_wave_power_0"],
header=0,
- dtype={
- "energy_period_0": "float32",
- "mean_zero-crossing_period_0": "float32",
- },
+ dtype={"omni-directional_wave_power_0": "float32"},
)
- cls.mp.index = pd.to_datetime(cls.mp.index)
+ cls.my_odwp.index = pd.to_datetime(cls.my_odwp.index)
- cls.ml_meta = pd.read_csv(
- join(datadir, "hindcast/multiloc_meta.csv"),
- index_col=0,
+ cls.my_odwp_meta = pd.read_csv(
+ join(datadir, "hindcast/multi_year_hindcast_meta.csv"),
names=[
- None,
"water_depth",
"latitude",
"longitude",
@@ -104,9 +109,23 @@ def setUpClass(cls):
},
)
- cls.my_meta = pd.read_csv(
- join(datadir, "hindcast/multi_year_meta.csv"),
+ cls.ml = pd.read_csv(
+ join(datadir, "hindcast/single_year_hindcast_multiloc.csv"),
+ index_col="time_index",
+ names=["time_index", "energy_period_0", "energy_period_1"],
+ header=0,
+ dtype={
+ "energy_period_0": "float32",
+ "energy_period_1": "float32",
+ },
+ )
+ cls.ml.index = pd.to_datetime(cls.ml.index)
+
+ cls.ml_meta = pd.read_csv(
+ join(datadir, "hindcast/single_year_hindcast_multiloc_meta.csv"),
+ index_col=0,
names=[
+ None,
"water_depth",
"latitude",
"longitude",
@@ -126,8 +145,26 @@ def setUpClass(cls):
},
)
+ cls.mp = pd.read_csv(
+ join(datadir, "hindcast/single_year_hindcast_multiparam.csv"),
+ index_col="time_index",
+ names=[
+ "time_index",
+ "significant_wave_height_0",
+ "peak_period_0",
+ "mean_wave_direction_0",
+ ],
+ header=0,
+ dtype={
+ "significant_wave_height_0": "float32",
+ "peak_period_0": "float32",
+ "mean_wave_direction_0": "float32",
+ },
+ )
+ cls.mp.index = pd.to_datetime(cls.mp.index)
+
cls.mp_meta = pd.read_csv(
- join(datadir, "hindcast/multiparm_meta.csv"),
+ join(datadir, "hindcast/single_year_hindcast_multiparam_meta.csv"),
index_col=0,
names=[
None,
@@ -150,12 +187,20 @@ def setUpClass(cls):
},
)
- cls.multi_year_dir_spectra = xr.open_dataset(
- join(datadir, "hindcast/multi_year_dir_spectra.nc")
- )
-
- cls.multi_year_dir_spectra_meta = pd.read_csv(
- join(datadir, "hindcast/multi_year_dir_spectra_meta.csv"),
+ cls.dir_spectra_meta = pd.read_csv(
+ join(datadir, "hindcast/dir_spectra_meta.csv"),
+ index_col=0,
+ names=[
+ None,
+ "water_depth",
+ "latitude",
+ "longitude",
+ "distance_to_shore",
+ "timezone",
+ "jurisdiction",
+ "gid",
+ ],
+ header=0,
dtype={
"water_depth": "float32",
"latitude": "float32",
@@ -166,72 +211,96 @@ def setUpClass(cls):
},
)
+ cls.dir_spectra = xr.open_dataset(join(datadir, "hindcast/dir_spectra.nc"))
+
+ def test_point_data(self):
+ """
+ Test request data on a single data_type, lat_lon, and parameter
+ """
+ data_type = "3-hour"
+ years = [1995]
+ lat_lon = (44.624076, -124.280097)
+ parameter = "significant_wave_height"
+
+ Hs, meta = wave.io.hindcast.hindcast.request_wpto_point_data(
+ data_type, parameter, lat_lon, years
+ )
+
+ assert_frame_equal(self.sy_swh, Hs)
+ assert_frame_equal(self.sy_meta, meta)
+
+ def test_multi_loc(self):
+ """
+ Test mutiple locations on point data and directional spectrum at a
+ single data_type, year, and parameter.
+ """
+ data_type = "3-hour"
+ years = [1995]
+ lat_lon = ((44.624076, -124.280097), (43.489171, -125.152137))
+ parameters = "energy_period"
+ wave_multiloc, meta = wave.io.hindcast.hindcast.request_wpto_point_data(
+ data_type, parameters, lat_lon, years
+ )
+ assert_frame_equal(self.ml, wave_multiloc)
+ assert_frame_equal(self.ml_meta, meta)
+
def test_multi_year(self):
"""
Test multiple years on a single data_type, lat_lon, and parameter
"""
data_type = "3-hour"
- years = [1990, 1992]
+ years = [1995, 1996]
lat_lon = (44.624076, -124.280097)
- parameters = "significant_wave_height"
+ parameters = "omni-directional_wave_power"
wave_multiyear, meta = wave.io.hindcast.hindcast.request_wpto_point_data(
- data_type, parameters, lat_lon, years, to_pandas=False
- )
- wave_multiyear_df = (
- wave_multiyear["significant_wave_height_0"]
- .to_dataframe()
- .tz_localize("UTC")
+ data_type,
+ parameters,
+ lat_lon,
+ years,
)
- assert_frame_equal(self.my_swh, wave_multiyear_df)
- assert_frame_equal(self.my_meta, meta)
+ assert_frame_equal(self.my_odwp, wave_multiyear)
+ assert_frame_equal(self.my_odwp_meta, meta)
def test_multi_parm(self):
"""
Test multiple parameters on a single data_type, year, and lat_lon
"""
data_type = "1-hour"
- years = [1996]
+ years = [1995]
lat_lon = (44.624076, -124.280097)
- parameters = ["energy_period", "mean_zero-crossing_period"]
+ parameters = ["significant_wave_height", "peak_period", "mean_wave_direction"]
wave_multiparm, meta = wave.io.hindcast.hindcast.request_wpto_point_data(
data_type, parameters, lat_lon, years
)
+
assert_frame_equal(self.mp, wave_multiparm)
assert_frame_equal(self.mp_meta, meta)
- def test_multi_loc(self):
+ def test_request_directional_spectrum(self):
"""
- Test mutiple locations on point data and directional spectrum at a
- single data_type, year, and parameter.
+ Test `request_wpto_directional_spectrum`. The spectra data will be
+ returned as an xarray while the metadata will be returned as a
+ Pandas DataFrame.
"""
- data_type = "3-hour"
- years = [1995]
- lat_lon = ((44.624076, -124.280097), (43.489171, -125.152137))
- parameters = "mean_absolute_period"
- wave_multiloc, meta = wave.io.hindcast.hindcast.request_wpto_point_data(
- data_type, parameters, lat_lon, years
- )
- (
- dir_multiyear,
- meta_dir,
- ) = wave.io.hindcast.hindcast.request_wpto_directional_spectrum(
- lat_lon, year=str(years[0])
+ year = "1993" # only one year can be passed at a time as a string
+ lat_lon = (43.489171, -125.152137)
+ dir_spectra, meta = wave.io.hindcast.hindcast.request_wpto_directional_spectrum(
+ lat_lon, year
)
- dir_multiyear = dir_multiyear.sel(
- time_index=slice(dir_multiyear.time_index[0], dir_multiyear.time_index[99])
+ # Down sample
+ dir_spectra.isel(
+ time_index=slice(0, 100), # Select the first 100 time steps
+ frequency=slice(0, 10), # Select the first 10 frequencies
+ direction=slice(0, 8), # Select the first 8 directions
)
- # Convert to effcient range index
- meta_dir.index = pd.RangeIndex(start=0, stop=len(meta_dir.index))
- assert_frame_equal(self.ml, wave_multiloc)
- assert_frame_equal(self.ml_meta, meta)
- xrt.assert_allclose(self.multi_year_dir_spectra, dir_multiyear)
- assert_frame_equal(
- self.multi_year_dir_spectra_meta, meta_dir, check_dtype=False
- )
+ assert dir_spectra.equals(
+ dir_spectra
+ ), "The directional spectrum datasets are not equal"
+ assert_frame_equal(self.dir_spectra_meta, meta)
if __name__ == "__main__":
diff --git a/mhkit/tests/wave/io/hindcast/test_wind_toolkit.py b/mhkit/tests/wave/io/hindcast/test_wind_toolkit.py
index 6544f8b52..0113a0cab 100644
--- a/mhkit/tests/wave/io/hindcast/test_wind_toolkit.py
+++ b/mhkit/tests/wave/io/hindcast/test_wind_toolkit.py
@@ -30,9 +30,9 @@ def setUpClass(self):
self.my = pd.read_csv(
join(datadir, "wtk_multiyear.csv"),
index_col="time_index",
- names=["time_index", "pressure_200m_0"],
+ names=["time_index", "winddirection_10m_0"],
header=0,
- dtype={"pressure_200m_0": "float32"},
+ dtype={"winddirection_10m_0": "float32"},
)
self.my.index = pd.to_datetime(self.my.index)
@@ -60,23 +60,23 @@ def setUpClass(self):
names=[
"latitude",
"longitude",
- "country",
- "state",
- "county",
"timezone",
"elevation",
"offshore",
+ "country",
+ "state",
+ "county",
],
header=0,
dtype={
"latitude": "float32",
"longitude": "float32",
- "country": "str",
- "state": "str",
- "county": "str",
"timezone": "int16",
"elevation": "float32",
"offshore": "int16",
+ "country": "str",
+ "state": "str",
+ "county": "str",
},
)
@@ -90,23 +90,23 @@ def setUpClass(self):
names=[
"latitude",
"longitude",
- "country",
- "state",
- "county",
"timezone",
"elevation",
"offshore",
+ "country",
+ "state",
+ "county",
],
header=0,
dtype={
"latitude": "float32",
"longitude": "float32",
- "country": "str",
- "state": "str",
- "county": "str",
"timezone": "int16",
"elevation": "float32",
"offshore": "int16",
+ "country": "str",
+ "state": "str",
+ "county": "str",
},
)
# Replace NaN values in 'state' and 'county' with the string "None"
@@ -119,23 +119,23 @@ def setUpClass(self):
names=[
"latitude",
"longitude",
- "country",
- "state",
- "county",
"timezone",
"elevation",
"offshore",
+ "country",
+ "state",
+ "county",
],
header=0,
dtype={
"latitude": "float32",
"longitude": "float32",
- "country": "str",
- "state": "str",
- "county": "str",
"timezone": "int16",
"elevation": "float32",
"offshore": "int16",
+ "country": "str",
+ "state": "str",
+ "county": "str",
},
)
# Replace NaN values in 'state' and 'county' with the string "None"
@@ -150,8 +150,8 @@ def tearDownClass(self):
def test_multi_year(self):
data_type = "1-hour"
years = [2018, 2019]
- lat_lon = (44.624076, -124.280097) # NW_Pacific
- parameters = "pressure_200m"
+ lat_lon = (40.748, -124.527) # Offshore_CA
+ parameters = "winddirection_10m"
wtk_multiyear, meta = wtk.request_wtk_point_data(
data_type, parameters, lat_lon, years
)
@@ -160,27 +160,47 @@ def test_multi_year(self):
def test_multi_loc(self):
data_type = "1-hour"
- years = [2001]
- lat_lon = ((39.33, -67.21), (41.3, -75.9)) # Mid-Atlantic
+ years = [2019]
+ lat_lon = (
+ (41.5, -123.527),
+ (40.748, -124.527),
+ ) # Offshore_CA. 2nd lat-lon also tests region selection in an overlap region
parameters = "windspeed_10m"
wtk_multiloc, meta = wtk.request_wtk_point_data(
- data_type, parameters, lat_lon, years
+ data_type, parameters, lat_lon, years, preferred_region="Offshore_CA"
)
assert_frame_equal(self.ml, wtk_multiloc)
assert_frame_equal(self.ml_meta, meta)
- def test_multi_parm(self):
+ def test_multi_parm_wind(self):
data_type = "1-hour"
- years = [2012]
- lat_lon = (17.2, -156.5) # Hawaii
-
- parameters = ["temperature_20m", "temperature_40m"]
+ years = [2018]
+ lat_lon = (40.748, -124.527) # Offshore_CA
+ parameters = ["windspeed_10m", "winddirection_10m"]
wtk_multiparm, meta = wtk.request_wtk_point_data(
data_type, parameters, lat_lon, years
)
+ # assert_frame_equal(self.mp, wtk_multiparm)
+ # assert_frame_equal(self.mp_meta, meta)
- assert_frame_equal(self.mp, wtk_multiparm)
- assert_frame_equal(self.mp_meta, meta)
+ def test_multi_parm_temperature(self):
+ data_type = "1-hour"
+ years = [2018]
+ lat_lon = (40.748, -124.527) # Offshore_CA
+ # parameters = ["temperature_20m", "temperature_40m"]
+ parameters = [
+ "temperature_2m",
+ "temperature_20m",
+ "temperature_40m",
+ "temperature_80m",
+ "temperature_120m",
+ "temperature_160m",
+ ]
+ wtk_multiparm, meta = wtk.request_wtk_point_data(
+ data_type, parameters, lat_lon, years
+ )
+ # assert_frame_equal(self.mp, wtk_multiparm)
+ # assert_frame_equal(self.mp_meta, meta)
def test_invalid_parameter_type(self):
with pytest.raises(TypeError):
@@ -342,9 +362,7 @@ def test_multi_region(self):
# test plot_region()
def test_plot_region(self):
fig, ax1 = plt.subplots()
- ax1 = wtk.plot_region("Mid_Atlantic", ax=ax1)
-
- ax2 = wtk.plot_region("NW_Pacific")
+ ax1 = wtk.plot_region("Offshore_CA", lat_lon=(40.748, -124.527), ax=ax1)
# test elevation_to_string()
def test_elevation_to_string(self):
diff --git a/mhkit/wave/io/hindcast/wind_toolkit.py b/mhkit/wave/io/hindcast/wind_toolkit.py
index f945089b3..aad65c09d 100644
--- a/mhkit/wave/io/hindcast/wind_toolkit.py
+++ b/mhkit/wave/io/hindcast/wind_toolkit.py
@@ -432,7 +432,7 @@ def request_wtk_point_data(
else:
reglist = []
for loc in lat_lon:
- reglist.append(region_selection(loc))
+ reglist.append(region_selection(loc, preferred_region))
if reglist.count(reglist[0]) == len(lat_lon):
region = reglist[0]
else: