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diff --git a/.DS_Store b/.DS_Store
index ee98213..21d2a6f 100644
Binary files a/.DS_Store and b/.DS_Store differ
diff --git a/Hourly_PV_public/Geographic_potential/Tilted_radiation/merge_poa_irrad.ipynb b/Hourly_PV_public/Geographic_potential/Tilted_radiation/merge_poa_irrad.ipynb
index abc1628..358a23c 100644
--- a/Hourly_PV_public/Geographic_potential/Tilted_radiation/merge_poa_irrad.ipynb
+++ b/Hourly_PV_public/Geographic_potential/Tilted_radiation/merge_poa_irrad.ipynb
@@ -1,1094 +1,1094 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
" from ._conv import register_converters as _register_converters\n"
]
}
],
"source": [
"import os\n",
"import pandas as pd\n",
"import xarray as xr\n",
"import numpy as np\n",
"\n",
"import time\n",
"import util\n",
"\n",
"import matplotlib\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Aims:\n",
"- Combine parallelised .nc files\n",
"- Remove outliers from the dataset"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"path = # PATH TO INTERMEDIATE FILES (output of poa_irradiance.py)\n",
"file_base = 'poa_irradiance'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"all_data = xr.open_mfdataset( os.path.join( path, file_base + '_*.nc' ) )"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 9639231, timestamp: 148)\n",
"Coordinates:\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
" * DF_UID (DF_UID) int64 1 2 3 4 ... 9890021 9890022 9890023\n",
"Data variables:\n",
" poa_direct (DF_UID, timestamp) float64 dask.array<shape=(9639231, 148), chunksize=(100000, 148)>\n",
" poa_sky_diffuse (DF_UID, timestamp) float64 dask.array<shape=(9639231, 148), chunksize=(100000, 148)>\n",
" poa_ground_diffuse (DF_UID, timestamp) float64 dask.array<shape=(9639231, 148), chunksize=(100000, 148)>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"all_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Clean tilted irradiance"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 9639231, timestamp: 148)\n",
"Coordinates:\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
" * DF_UID (DF_UID) int64 1 2 3 4 ... 9890021 9890022 9890023\n",
"Data variables:\n",
" poa_direct (DF_UID, timestamp) float64 dask.array<shape=(9639231, 148), chunksize=(100000, 148)>\n",
" poa_sky_diffuse (DF_UID, timestamp) float64 dask.array<shape=(9639231, 148), chunksize=(100000, 148)>\n",
" poa_ground_diffuse (DF_UID, timestamp) float64 dask.array<shape=(9639231, 148), chunksize=(100000, 148)>\n",
" poa_global (DF_UID, timestamp) float64 dask.array<shape=(9639231, 148), chunksize=(100000, 148)>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Compute the global radiation\n",
"all_data['poa_global'] = all_data.poa_direct + all_data.poa_sky_diffuse + all_data.poa_ground_diffuse\n",
"all_data"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/.local/lib/python3.6/site-packages/dask/core.py:137: RuntimeWarning: invalid value encountered in greater\n",
" return func(*args2)\n"
]
},
{
"data": {
"text/plain": [
"<xarray.DataArray 'timestamp' (timestamp: 5)>\n",
"array(['2001-01-15T16:00:00.000000000', '2001-05-15T04:00:00.000000000',\n",
" '2001-07-15T04:00:00.000000000', '2001-09-15T05:00:00.000000000',\n",
" '2001-12-15T07:00:00.000000000'], dtype='datetime64[ns]')\n",
"Coordinates:\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T16:00:00 ... 2001-12-15T07:00:00"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# identify outliers as those instances with unreasonably high global radiation and show the affected timestamps\n",
"outliers = all_data.where(all_data.poa_global > 5000, drop = True)\n",
"outliers.timestamp"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 9639231, timestamp: 143)\n",
"Coordinates:\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
" * DF_UID (DF_UID) int64 1 2 3 4 ... 9890021 9890022 9890023\n",
"Data variables:\n",
" poa_direct (DF_UID, timestamp) float64 dask.array<shape=(9639231, 143), chunksize=(100000, 143)>\n",
" poa_sky_diffuse (DF_UID, timestamp) float64 dask.array<shape=(9639231, 143), chunksize=(100000, 143)>\n",
" poa_ground_diffuse (DF_UID, timestamp) float64 dask.array<shape=(9639231, 143), chunksize=(100000, 143)>\n",
" poa_global (DF_UID, timestamp) float64 dask.array<shape=(9639231, 143), chunksize=(100000, 143)>\n",
" poa_global_yearly (DF_UID) float64 dask.array<shape=(9639231,), chunksize=(100000,)>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# identify those timestamps that are not affected by outliers\n",
"good_timestamps = all_data.timestamp[np.logical_not(all_data.timestamp.isin(outliers.timestamp))]\n",
"\n",
"# select only the data in timestamps which are not affected by outliers\n",
"poa_irrad_clean = all_data.sel(timestamp = good_timestamps)\n",
"poa_irrad_clean"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# compute the annual global radiation for all roof surfaces\n",
"poa_irrad_clean['poa_global_yearly'] = util.get_yearly_sum(poa_irrad_clean, 'poa_global') / 1000\n",
"poa_irrad_clean"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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" alert('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",
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" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
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"\tthis.context.webkitBackingStorePixelRatio ||\n",
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"\tthis.context.oBackingStorePixelRatio ||\n",
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" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
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" canvas_div.resizable({\n",
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" },\n",
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"\n",
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"}\n",
"\n",
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" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\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",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://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",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\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",
" * http://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",
" 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",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\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",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" 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",
"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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";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.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",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\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.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\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) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('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",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\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('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot the results for verification\n",
"plt.figure()\n",
"poa_irrad_clean.poa_global_yearly.plot.hist(bins = 50, density = True)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# only keep the relevant variables to minimize storage space\n",
"poa_irrad_cleaned = poa_irrad_clean[['poa_direct', 'poa_sky_diffuse', 'poa_ground_diffuse']] "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# change data type to 32-bit float to reduce storage space\n",
"poa_irrad_cleaned['poa_direct'] = poa_irrad_cleaned['poa_direct'].astype('float32')\n",
"poa_irrad_cleaned['poa_sky_diffuse'] = poa_irrad_cleaned['poa_sky_diffuse'].astype('float32')\n",
"poa_irrad_cleaned['poa_ground_diffuse'] = poa_irrad_cleaned['poa_ground_diffuse'].astype('float32')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 9639231, timestamp: 143)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 1 2 3 4 ... 9890021 9890022 9890023\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" poa_direct (DF_UID, timestamp) float32 dask.array<shape=(9639231, 143), chunksize=(100000, 143)>\n",
" poa_sky_diffuse (DF_UID, timestamp) float32 dask.array<shape=(9639231, 143), chunksize=(100000, 143)>\n",
" poa_ground_diffuse (DF_UID, timestamp) float32 dask.array<shape=(9639231, 143), chunksize=(100000, 143)>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"poa_irrad_cleaned"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# save results \n",
"savefile = # PATH TO TARGET FILE (POA RADIATION)\n",
"poa_irrad_cleaned.to_netcdf( savefile )"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
diff --git a/Potential_hourly/1_Physical_potential.ipynb b/Potential_hourly/1_Physical_potential.ipynb
new file mode 100644
index 0000000..14820ad
--- /dev/null
+++ b/Potential_hourly/1_Physical_potential.ipynb
@@ -0,0 +1,4086 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "import os\n",
+ "# import util\n",
+ "import pvlib.solarposition as solar_pos\n",
+ "from pvlib.irradiance import get_total_irradiance, get_extra_radiation, get_ground_diffuse\n",
+ "from pvlib.atmosphere import get_relative_airmass\n",
+ "import pyproj\n",
+ "import csv\n",
+ "import itertools\n",
+ "import tqdm\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def cosd(angle_in_degrees):\n",
+ " return np.cos(np.radians(angle_in_degrees))\n",
+ "\n",
+ "def SISDIR_to_DNI( SISDIR , zenith_in_degrees ):\n",
+ " normal_incidence = SISDIR/cosd(zenith_in_degrees)\n",
+ " return( np.maximum( normal_incidence, 0 ) )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# INPUT (later argvs)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fp = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Meteo_data/Meteoswiss_satellite/raw_data/'\n",
+ "YEAR = 2010\n",
+ "\n",
+ "# global horizontal irradiance \n",
+ "Gh_file = lambda month,day : os.path.join(fp, 'global/msg.SIS.H_ch02.lonlat_%d%02d%02d000000.nc' %(YEAR,month,day))\n",
+ "\n",
+ "# direct beam irradiance\n",
+ "Gb_file = lambda month,day : os.path.join(fp, 'direct/msg.SISDIR.H_ch02.lonlat_%d%02d%02d000000.nc' %(YEAR,month,day))\n",
+ "\n",
+ "# Surface albedo\n",
+ "ALB_file = lambda month,day : os.path.join(fp, 'albedo/msg.ALB.H_ch02.lonlat_%d%02d%02d000000.nc' %(YEAR,month,day))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Successfully appended 1.1.2010\n",
+ "Successfully appended 2.1.2010\n",
+ "Successfully appended 3.1.2010\n",
+ "Successfully appended 4.1.2010\n",
+ "Successfully appended 5.1.2010\n",
+ "Successfully appended 6.1.2010\n",
+ "Successfully appended 7.1.2010\n",
+ "Successfully appended 8.1.2010\n",
+ "Successfully appended 9.1.2010\n",
+ "Successfully appended 10.1.2010\n",
+ "Successfully appended 11.1.2010\n",
+ "Successfully appended 12.1.2010\n",
+ "Successfully appended 13.1.2010\n",
+ "Successfully appended 14.1.2010\n",
+ "Successfully appended 15.1.2010\n",
+ "Successfully appended 16.1.2010\n",
+ "Successfully appended 17.1.2010\n",
+ "Successfully appended 18.1.2010\n",
+ "Successfully appended 19.1.2010\n",
+ "Successfully appended 20.1.2010\n",
+ "Successfully appended 21.1.2010\n",
+ "Successfully appended 22.1.2010\n",
+ "Successfully appended 23.1.2010\n",
+ "Successfully appended 24.1.2010\n",
+ "Successfully appended 25.1.2010\n",
+ "Successfully appended 26.1.2010\n",
+ "Successfully appended 27.1.2010\n",
+ "Successfully appended 28.1.2010\n",
+ "Successfully appended 29.1.2010\n",
+ "Successfully appended 30.1.2010\n",
+ "Successfully appended 31.1.2010\n",
+ "Successfully added month 1\n",
+ "Successfully appended 1.2.2010\n",
+ "Successfully appended 2.2.2010\n",
+ "Successfully appended 3.2.2010\n",
+ "Successfully appended 4.2.2010\n",
+ "Successfully appended 5.2.2010\n",
+ "Successfully appended 6.2.2010\n",
+ "Successfully appended 7.2.2010\n",
+ "Successfully appended 8.2.2010\n",
+ "Successfully appended 9.2.2010\n",
+ "Successfully appended 10.2.2010\n",
+ "Successfully appended 11.2.2010\n",
+ "Successfully appended 12.2.2010\n",
+ "Successfully appended 13.2.2010\n",
+ "Successfully appended 14.2.2010\n",
+ "Successfully appended 15.2.2010\n",
+ "Successfully appended 16.2.2010\n",
+ "Successfully appended 17.2.2010\n",
+ "Successfully appended 18.2.2010\n",
+ "Successfully appended 19.2.2010\n",
+ "Successfully appended 20.2.2010\n",
+ "Successfully appended 21.2.2010\n",
+ "Successfully appended 22.2.2010\n",
+ "Successfully appended 23.2.2010\n",
+ "Successfully appended 24.2.2010\n",
+ "Successfully appended 25.2.2010\n",
+ "Successfully appended 26.2.2010\n",
+ "Successfully appended 27.2.2010\n",
+ "Successfully appended 28.2.2010\n",
+ "Skipping 29.2.2010\n",
+ "Skipping 30.2.2010\n",
+ "Skipping 31.2.2010\n",
+ "Successfully added month 2\n",
+ "Successfully appended 1.3.2010\n",
+ "Successfully appended 2.3.2010\n",
+ "Successfully appended 3.3.2010\n",
+ "Successfully appended 4.3.2010\n",
+ "Successfully appended 5.3.2010\n",
+ "Successfully appended 6.3.2010\n",
+ "Successfully appended 7.3.2010\n",
+ "Successfully appended 8.3.2010\n",
+ "Successfully appended 9.3.2010\n",
+ "Successfully appended 10.3.2010\n",
+ "Successfully appended 11.3.2010\n",
+ "Successfully appended 12.3.2010\n",
+ "Successfully appended 13.3.2010\n",
+ "Successfully appended 14.3.2010\n",
+ "Successfully appended 15.3.2010\n",
+ "Successfully appended 16.3.2010\n",
+ "Successfully appended 17.3.2010\n",
+ "Successfully appended 18.3.2010\n",
+ "Successfully appended 19.3.2010\n",
+ "Successfully appended 20.3.2010\n",
+ "Successfully appended 21.3.2010\n",
+ "Successfully appended 22.3.2010\n",
+ "Successfully appended 23.3.2010\n",
+ "Successfully appended 24.3.2010\n",
+ "Successfully appended 25.3.2010\n",
+ "Successfully appended 26.3.2010\n",
+ "Successfully appended 27.3.2010\n",
+ "Successfully appended 28.3.2010\n",
+ "Successfully appended 29.3.2010\n",
+ "Successfully appended 30.3.2010\n",
+ "Successfully appended 31.3.2010\n",
+ "Successfully added month 3\n",
+ "Successfully appended 1.4.2010\n",
+ "Successfully appended 2.4.2010\n",
+ "Successfully appended 3.4.2010\n",
+ "Successfully appended 4.4.2010\n",
+ "Successfully appended 5.4.2010\n",
+ "Successfully appended 6.4.2010\n",
+ "Successfully appended 7.4.2010\n",
+ "Successfully appended 8.4.2010\n",
+ "Successfully appended 9.4.2010\n",
+ "Successfully appended 10.4.2010\n",
+ "Successfully appended 11.4.2010\n",
+ "Successfully appended 12.4.2010\n",
+ "Successfully appended 13.4.2010\n",
+ "Successfully appended 14.4.2010\n",
+ "Successfully appended 15.4.2010\n",
+ "Successfully appended 16.4.2010\n",
+ "Successfully appended 17.4.2010\n",
+ "Successfully appended 18.4.2010\n",
+ "Successfully appended 19.4.2010\n",
+ "Successfully appended 20.4.2010\n",
+ "Successfully appended 21.4.2010\n",
+ "Successfully appended 22.4.2010\n",
+ "Successfully appended 23.4.2010\n",
+ "Successfully appended 24.4.2010\n",
+ "Successfully appended 25.4.2010\n",
+ "Successfully appended 26.4.2010\n",
+ "Successfully appended 27.4.2010\n",
+ "Successfully appended 28.4.2010\n",
+ "Successfully appended 29.4.2010\n",
+ "Successfully appended 30.4.2010\n",
+ "Skipping 31.4.2010\n",
+ "Successfully added month 4\n",
+ "Successfully appended 1.5.2010\n",
+ "Successfully appended 2.5.2010\n",
+ "Successfully appended 3.5.2010\n",
+ "Successfully appended 4.5.2010\n",
+ "Successfully appended 5.5.2010\n",
+ "Successfully appended 6.5.2010\n",
+ "Successfully appended 7.5.2010\n",
+ "Successfully appended 8.5.2010\n",
+ "Successfully appended 9.5.2010\n",
+ "Successfully appended 10.5.2010\n",
+ "Successfully appended 11.5.2010\n",
+ "Successfully appended 12.5.2010\n",
+ "Successfully appended 13.5.2010\n",
+ "Successfully appended 14.5.2010\n",
+ "Successfully appended 15.5.2010\n",
+ "Successfully appended 16.5.2010\n",
+ "Successfully appended 17.5.2010\n",
+ "Successfully appended 18.5.2010\n",
+ "Successfully appended 19.5.2010\n",
+ "Successfully appended 20.5.2010\n",
+ "Successfully appended 21.5.2010\n",
+ "Successfully appended 22.5.2010\n",
+ "Successfully appended 23.5.2010\n",
+ "Successfully appended 24.5.2010\n",
+ "Successfully appended 25.5.2010\n",
+ "Successfully appended 26.5.2010\n",
+ "Successfully appended 27.5.2010\n",
+ "Successfully appended 28.5.2010\n",
+ "Successfully appended 29.5.2010\n",
+ "Successfully appended 30.5.2010\n",
+ "Successfully appended 31.5.2010\n",
+ "Successfully added month 5\n",
+ "Successfully appended 1.6.2010\n",
+ "Successfully appended 2.6.2010\n",
+ "Successfully appended 3.6.2010\n",
+ "Successfully appended 4.6.2010\n",
+ "Successfully appended 5.6.2010\n",
+ "Successfully appended 6.6.2010\n",
+ "Successfully appended 7.6.2010\n",
+ "Successfully appended 8.6.2010\n",
+ "Successfully appended 9.6.2010\n",
+ "Successfully appended 10.6.2010\n",
+ "Successfully appended 11.6.2010\n",
+ "Successfully appended 12.6.2010\n",
+ "Successfully appended 13.6.2010\n",
+ "Successfully appended 14.6.2010\n",
+ "Successfully appended 15.6.2010\n",
+ "Successfully appended 16.6.2010\n",
+ "Successfully appended 17.6.2010\n",
+ "Successfully appended 18.6.2010\n",
+ "Successfully appended 19.6.2010\n",
+ "Successfully appended 20.6.2010\n",
+ "Successfully appended 21.6.2010\n",
+ "Successfully appended 22.6.2010\n",
+ "Successfully appended 23.6.2010\n",
+ "Successfully appended 24.6.2010\n",
+ "Successfully appended 25.6.2010\n",
+ "Successfully appended 26.6.2010\n",
+ "Successfully appended 27.6.2010\n",
+ "Successfully appended 28.6.2010\n",
+ "Successfully appended 29.6.2010\n",
+ "Successfully appended 30.6.2010\n",
+ "Skipping 31.6.2010\n",
+ "Successfully added month 6\n",
+ "Successfully appended 1.7.2010\n",
+ "Successfully appended 2.7.2010\n",
+ "Successfully appended 3.7.2010\n",
+ "Successfully appended 4.7.2010\n",
+ "Successfully appended 5.7.2010\n",
+ "Successfully appended 6.7.2010\n",
+ "Successfully appended 7.7.2010\n",
+ "Successfully appended 8.7.2010\n",
+ "Successfully appended 9.7.2010\n",
+ "Successfully appended 10.7.2010\n",
+ "Successfully appended 11.7.2010\n",
+ "Successfully appended 12.7.2010\n",
+ "Successfully appended 13.7.2010\n",
+ "Successfully appended 14.7.2010\n",
+ "Successfully appended 15.7.2010\n",
+ "Successfully appended 16.7.2010\n",
+ "Successfully appended 17.7.2010\n",
+ "Successfully appended 18.7.2010\n",
+ "Successfully appended 19.7.2010\n",
+ "Successfully appended 20.7.2010\n",
+ "Successfully appended 21.7.2010\n",
+ "Successfully appended 22.7.2010\n",
+ "Successfully appended 23.7.2010\n",
+ "Successfully appended 24.7.2010\n",
+ "Successfully appended 25.7.2010\n",
+ "Successfully appended 26.7.2010\n",
+ "Successfully appended 27.7.2010\n",
+ "Successfully appended 28.7.2010\n",
+ "Successfully appended 29.7.2010\n",
+ "Successfully appended 30.7.2010\n",
+ "Successfully appended 31.7.2010\n",
+ "Successfully added month 7\n",
+ "Successfully appended 1.8.2010\n",
+ "Successfully appended 2.8.2010\n",
+ "Successfully appended 3.8.2010\n",
+ "Successfully appended 4.8.2010\n",
+ "Successfully appended 5.8.2010\n",
+ "Successfully appended 6.8.2010\n",
+ "Successfully appended 7.8.2010\n",
+ "Successfully appended 8.8.2010\n",
+ "Successfully appended 9.8.2010\n",
+ "Successfully appended 10.8.2010\n",
+ "Successfully appended 11.8.2010\n",
+ "Successfully appended 12.8.2010\n",
+ "Successfully appended 13.8.2010\n",
+ "Successfully appended 14.8.2010\n",
+ "Successfully appended 15.8.2010\n",
+ "Successfully appended 16.8.2010\n",
+ "Successfully appended 17.8.2010\n",
+ "Successfully appended 18.8.2010\n",
+ "Successfully appended 19.8.2010\n",
+ "Successfully appended 20.8.2010\n",
+ "Successfully appended 21.8.2010\n",
+ "Successfully appended 22.8.2010\n",
+ "Successfully appended 23.8.2010\n",
+ "Successfully appended 24.8.2010\n",
+ "Successfully appended 25.8.2010\n",
+ "Successfully appended 26.8.2010\n",
+ "Successfully appended 27.8.2010\n",
+ "Successfully appended 28.8.2010\n",
+ "Successfully appended 29.8.2010\n",
+ "Successfully appended 30.8.2010\n",
+ "Successfully appended 31.8.2010\n",
+ "Successfully added month 8\n",
+ "Successfully appended 1.9.2010\n",
+ "Successfully appended 2.9.2010\n",
+ "Successfully appended 3.9.2010\n",
+ "Successfully appended 4.9.2010\n",
+ "Successfully appended 5.9.2010\n",
+ "Successfully appended 6.9.2010\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Successfully appended 7.9.2010\n",
+ "Successfully appended 8.9.2010\n",
+ "Successfully appended 9.9.2010\n",
+ "Successfully appended 10.9.2010\n",
+ "Successfully appended 11.9.2010\n",
+ "Successfully appended 12.9.2010\n",
+ "Successfully appended 13.9.2010\n",
+ "Successfully appended 14.9.2010\n",
+ "Successfully appended 15.9.2010\n",
+ "Successfully appended 16.9.2010\n",
+ "Successfully appended 17.9.2010\n",
+ "Successfully appended 18.9.2010\n",
+ "Successfully appended 19.9.2010\n",
+ "Successfully appended 20.9.2010\n",
+ "Successfully appended 21.9.2010\n",
+ "Successfully appended 22.9.2010\n",
+ "Successfully appended 23.9.2010\n",
+ "Successfully appended 24.9.2010\n",
+ "Successfully appended 25.9.2010\n",
+ "Successfully appended 26.9.2010\n",
+ "Successfully appended 27.9.2010\n",
+ "Successfully appended 28.9.2010\n",
+ "Successfully appended 29.9.2010\n",
+ "Successfully appended 30.9.2010\n",
+ "Skipping 31.9.2010\n",
+ "Successfully added month 9\n",
+ "Successfully appended 1.10.2010\n",
+ "Successfully appended 2.10.2010\n",
+ "Successfully appended 3.10.2010\n",
+ "Successfully appended 4.10.2010\n",
+ "Successfully appended 5.10.2010\n",
+ "Successfully appended 6.10.2010\n",
+ "Successfully appended 7.10.2010\n",
+ "Successfully appended 8.10.2010\n",
+ "Successfully appended 9.10.2010\n",
+ "Successfully appended 10.10.2010\n",
+ "Successfully appended 11.10.2010\n",
+ "Successfully appended 12.10.2010\n",
+ "Successfully appended 13.10.2010\n",
+ "Successfully appended 14.10.2010\n",
+ "Successfully appended 15.10.2010\n",
+ "Successfully appended 16.10.2010\n",
+ "Successfully appended 17.10.2010\n",
+ "Successfully appended 18.10.2010\n",
+ "Successfully appended 19.10.2010\n",
+ "Successfully appended 20.10.2010\n",
+ "Successfully appended 21.10.2010\n",
+ "Successfully appended 22.10.2010\n",
+ "Successfully appended 23.10.2010\n",
+ "Successfully appended 24.10.2010\n",
+ "Successfully appended 25.10.2010\n",
+ "Successfully appended 26.10.2010\n",
+ "Successfully appended 27.10.2010\n",
+ "Successfully appended 28.10.2010\n",
+ "Successfully appended 29.10.2010\n",
+ "Successfully appended 30.10.2010\n",
+ "Successfully appended 31.10.2010\n",
+ "Successfully added month 10\n",
+ "Successfully appended 1.11.2010\n",
+ "Successfully appended 2.11.2010\n",
+ "Successfully appended 3.11.2010\n",
+ "Successfully appended 4.11.2010\n",
+ "Successfully appended 5.11.2010\n",
+ "Successfully appended 6.11.2010\n",
+ "Successfully appended 7.11.2010\n",
+ "Successfully appended 8.11.2010\n",
+ "Successfully appended 9.11.2010\n",
+ "Successfully appended 10.11.2010\n",
+ "Successfully appended 11.11.2010\n",
+ "Successfully appended 12.11.2010\n",
+ "Successfully appended 13.11.2010\n",
+ "Successfully appended 14.11.2010\n",
+ "Successfully appended 15.11.2010\n",
+ "Successfully appended 16.11.2010\n",
+ "Successfully appended 17.11.2010\n",
+ "Successfully appended 18.11.2010\n",
+ "Successfully appended 19.11.2010\n",
+ "Successfully appended 20.11.2010\n",
+ "Successfully appended 21.11.2010\n",
+ "Successfully appended 22.11.2010\n",
+ "Successfully appended 23.11.2010\n",
+ "Successfully appended 24.11.2010\n",
+ "Successfully appended 25.11.2010\n",
+ "Successfully appended 26.11.2010\n",
+ "Successfully appended 27.11.2010\n",
+ "Successfully appended 28.11.2010\n",
+ "Successfully appended 29.11.2010\n",
+ "Successfully appended 30.11.2010\n",
+ "Skipping 31.11.2010\n",
+ "Successfully added month 11\n",
+ "Successfully appended 1.12.2010\n",
+ "Successfully appended 2.12.2010\n",
+ "Successfully appended 3.12.2010\n",
+ "Successfully appended 4.12.2010\n",
+ "Successfully appended 5.12.2010\n",
+ "Successfully appended 6.12.2010\n",
+ "Successfully appended 7.12.2010\n",
+ "Successfully appended 8.12.2010\n",
+ "Successfully appended 9.12.2010\n",
+ "Successfully appended 10.12.2010\n",
+ "Successfully appended 11.12.2010\n",
+ "Successfully appended 12.12.2010\n",
+ "Successfully appended 13.12.2010\n",
+ "Successfully appended 14.12.2010\n",
+ "Successfully appended 15.12.2010\n",
+ "Successfully appended 16.12.2010\n",
+ "Successfully appended 17.12.2010\n",
+ "Successfully appended 18.12.2010\n",
+ "Successfully appended 19.12.2010\n",
+ "Successfully appended 20.12.2010\n",
+ "Successfully appended 21.12.2010\n",
+ "Successfully appended 22.12.2010\n",
+ "Successfully appended 23.12.2010\n",
+ "Successfully appended 24.12.2010\n",
+ "Successfully appended 25.12.2010\n",
+ "Successfully appended 26.12.2010\n",
+ "Successfully appended 27.12.2010\n",
+ "Successfully appended 28.12.2010\n",
+ "Successfully appended 29.12.2010\n",
+ "Successfully appended 30.12.2010\n",
+ "Successfully appended 31.12.2010\n",
+ "Successfully added month 12\n"
+ ]
+ }
+ ],
+ "source": [
+ "G_all = []\n",
+ "\n",
+ "for month in range(1,13):\n",
+ " G_month = []\n",
+ " \n",
+ " for day in range(1,32):\n",
+ " try:\n",
+ " Gh = xr.open_dataset(Gh_file(month, day))\n",
+ " Gb = xr.open_dataset(Gb_file(month, day))\n",
+ " ALB = xr.open_dataset(ALB_file(month, day))\n",
+ " G = xr.merge([Gh,Gb, ALB]).rename({'time' : 'timestamp'})\n",
+ " G['time'] = G.timestamp\n",
+ " G.coords['day' ] = day\n",
+ "\n",
+ " # Change timestamp to the 15th of each month (including the 30-minute time shift for interp)\n",
+ " G.coords['timestamp'] = [pd.to_datetime('2001-%d-15 %02d:30' %(month, t.dt.hour)) for t in G.timestamp] \n",
+ " G_month.append(G)\n",
+ " print('Successfully appended %d.%d.%d' %(day, month, YEAR))\n",
+ " \n",
+ " except:\n",
+ " print('Skipping %d.%d.%d' %(day, month, YEAR))\n",
+ " \n",
+ " G_all.append( xr.concat(G_month, dim = 'day') )\n",
+ " print('Successfully added month %d' %(month))\n",
+ "\n",
+ "G_all = xr.concat(G_all, dim = 'timestamp')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Interpolate data to represent mean of timestamp"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "timestamps_interp = (G_all.timestamp - pd.Timedelta(0.5, unit = 'h')).values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "G_all_interp = G_all.interp(timestamp = timestamps_interp)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Drop zeros to reduce file size"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "G_all_nonzero = G_all_interp.where(G_all_interp.SIS > 0, drop = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float64 nan nan nan ... 1.428 1.417\n",
+ " SISDIR (day, timestamp, lat, lon) float64 nan nan nan ... 0.4434 0.4365\n",
+ " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float64 nan nan nan ... 1.428 1.417\n",
+ " SISDIR (day, timestamp, lat, lon) float64 nan nan nan ... 0.4434 0.4365\n",
+ " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "G_all_nonzero"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
+ " this.id = figure_id;\n",
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+ " 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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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",
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+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+ " fig.send_message(\"send_image_mode\", {});\n",
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+ " // 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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"1000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize = (10,4))\n",
+ "G_all_nonzero.isel(day = 11, timestamp = 6).SIS.plot(x = 'lon', y = 'lat')\n",
+ "plt.axis('equal')\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.figure(figsize = (10,4))\n",
+ "G_all_nonzero.isel(day = 11, timestamp = 6).SISDIR.plot(x = 'lon', y = 'lat')\n",
+ "plt.axis('equal')\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.figure(figsize = (10,4))\n",
+ "G_all_nonzero.isel(day = 11, timestamp = 6).ALB.plot(x = 'lon', y = 'lat')\n",
+ "plt.axis('equal')\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Merge with time"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "time = G_all.time\n",
+ "time.coords['timestamp'] = timestamps_interp"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "G_all_interp_w_time = xr.merge([G_all_nonzero, time.sel(timestamp = G_all_nonzero.timestamp)])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float64 nan nan nan ... 1.428 1.417\n",
+ " SISDIR (day, timestamp, lat, lon) float64 nan nan nan ... 0.4434 0.4365\n",
+ " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247\n",
+ " time (day, timestamp) datetime64[ns] 2010-01-01T06:00:00 ... 2010-12-31T16:00:00</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float64 nan nan nan ... 1.428 1.417\n",
+ " SISDIR (day, timestamp, lat, lon) float64 nan nan nan ... 0.4434 0.4365\n",
+ " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247\n",
+ " time (day, timestamp) datetime64[ns] 2010-01-01T06:00:00 ... 2010-12-31T16:00:00"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "G_all_interp_w_time"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Save result"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "SIS\n",
+ "SISDIR\n",
+ "ALB\n",
+ "day\n",
+ "lon\n",
+ "lat\n",
+ "timestamp\n",
+ "time\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Reduce file size\n",
+ "for var in G_all_interp_w_time.variables:\n",
+ " print(var)\n",
+ " if var in ['timestamp', 'day', 'lat', 'lon', 'time']: continue\n",
+ " \n",
+ " G_all_interp_w_time[var] = G_all_interp_w_time[var].astype('float32')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "G_all_interp_w_time.to_netcdf(os.path.join(fp, '%d_SIS_SISDIR_ALB_interp.nc' %YEAR))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Compute sun position\n",
+ "Approximate sun position from mean Swiss coordinates"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 ...\n",
+ " SISDIR (day, timestamp, lat, lon) float32 ...\n",
+ " ALB (day, timestamp, lat, lon) float32 ...\n",
+ " time (day, timestamp) datetime64[ns] ...</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 ...\n",
+ " SISDIR (day, timestamp, lat, lon) float32 ...\n",
+ " ALB (day, timestamp, lat, lon) float32 ...\n",
+ " time (day, timestamp) datetime64[ns] ..."
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "G_all_nonzero = xr.open_dataset(os.path.join(fp, '%d_SIS_SISDIR_ALB_interp.nc' %YEAR))\n",
+ "G_all_nonzero"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "times = G_all_nonzero.time.to_dataframe().dropna().reset_index()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>day</th>\n",
+ " <th>timestamp</th>\n",
+ " <th>time</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 06:00:00</td>\n",
+ " <td>2010-01-01 06:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 07:00:00</td>\n",
+ " <td>2010-01-01 07:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 08:00:00</td>\n",
+ " <td>2010-01-01 08:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 09:00:00</td>\n",
+ " <td>2010-01-01 09:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 10:00:00</td>\n",
+ " <td>2010-01-01 10:00:00</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " day timestamp time\n",
+ "0 1 2001-01-15 06:00:00 2010-01-01 06:00:00\n",
+ "1 1 2001-01-15 07:00:00 2010-01-01 07:00:00\n",
+ "2 1 2001-01-15 08:00:00 2010-01-01 08:00:00\n",
+ "3 1 2001-01-15 09:00:00 2010-01-01 09:00:00\n",
+ "4 1 2001-01-15 10:00:00 2010-01-01 10:00:00"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "times.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# get sun position (one for Switzerland) - can later be replaced by very exact sun positions\n",
+ "LAT = 46.818188\n",
+ "LON = 8.227512\n",
+ "solpos = solar_pos.get_solarposition(times.time.values, LAT, LON)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "solpos['rel_airmass'] = get_relative_airmass(solpos['apparent_zenith'])\n",
+ "solpos['DNI_extra' ] = get_extra_radiation(solpos.index)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th>apparent_zenith</th>\n",
+ " <th>zenith</th>\n",
+ " <th>apparent_elevation</th>\n",
+ " <th>elevation</th>\n",
+ " <th>azimuth</th>\n",
+ " <th>equation_of_time</th>\n",
+ " <th>rel_airmass</th>\n",
+ " <th>DNI_extra</th>\n",
+ " <th>time</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>timestamp</th>\n",
+ " <th>day</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>2001-01-15 06:00:00</th>\n",
+ " <th>1</th>\n",
+ " <td>101.783628</td>\n",
+ " <td>101.783628</td>\n",
+ " <td>-11.783628</td>\n",
+ " <td>-11.783628</td>\n",
+ " <td>111.173511</td>\n",
+ " <td>-3.417499</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1413.981805</td>\n",
+ " <td>2010-01-01 06:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2001-01-15 07:00:00</th>\n",
+ " <th>1</th>\n",
+ " <td>92.596263</td>\n",
+ " <td>92.596263</td>\n",
+ " <td>-2.596263</td>\n",
+ " <td>-2.596263</td>\n",
+ " <td>121.559343</td>\n",
+ " <td>-3.437099</td>\n",
+ " <td>NaN</td>\n",
+ " <td>1413.981805</td>\n",
+ " <td>2010-01-01 07:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2001-01-15 08:00:00</th>\n",
+ " <th>1</th>\n",
+ " <td>84.268402</td>\n",
+ " <td>84.415958</td>\n",
+ " <td>5.731598</td>\n",
+ " <td>5.584042</td>\n",
+ " <td>132.682750</td>\n",
+ " <td>-3.456690</td>\n",
+ " <td>9.194190</td>\n",
+ " <td>1413.981805</td>\n",
+ " <td>2010-01-01 08:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2001-01-15 09:00:00</th>\n",
+ " <th>1</th>\n",
+ " <td>77.576271</td>\n",
+ " <td>77.649977</td>\n",
+ " <td>12.423729</td>\n",
+ " <td>12.350023</td>\n",
+ " <td>144.864097</td>\n",
+ " <td>-3.476272</td>\n",
+ " <td>4.557734</td>\n",
+ " <td>1413.981805</td>\n",
+ " <td>2010-01-01 09:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2001-01-15 10:00:00</th>\n",
+ " <th>1</th>\n",
+ " <td>72.699697</td>\n",
+ " <td>72.752736</td>\n",
+ " <td>17.300303</td>\n",
+ " <td>17.247264</td>\n",
+ " <td>158.212898</td>\n",
+ " <td>-3.495845</td>\n",
+ " <td>3.330113</td>\n",
+ " <td>1413.981805</td>\n",
+ " <td>2010-01-01 10:00:00</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " apparent_zenith zenith apparent_elevation \\\n",
+ "timestamp day \n",
+ "2001-01-15 06:00:00 1 101.783628 101.783628 -11.783628 \n",
+ "2001-01-15 07:00:00 1 92.596263 92.596263 -2.596263 \n",
+ "2001-01-15 08:00:00 1 84.268402 84.415958 5.731598 \n",
+ "2001-01-15 09:00:00 1 77.576271 77.649977 12.423729 \n",
+ "2001-01-15 10:00:00 1 72.699697 72.752736 17.300303 \n",
+ "\n",
+ " elevation azimuth equation_of_time rel_airmass \\\n",
+ "timestamp day \n",
+ "2001-01-15 06:00:00 1 -11.783628 111.173511 -3.417499 NaN \n",
+ "2001-01-15 07:00:00 1 -2.596263 121.559343 -3.437099 NaN \n",
+ "2001-01-15 08:00:00 1 5.584042 132.682750 -3.456690 9.194190 \n",
+ "2001-01-15 09:00:00 1 12.350023 144.864097 -3.476272 4.557734 \n",
+ "2001-01-15 10:00:00 1 17.247264 158.212898 -3.495845 3.330113 \n",
+ "\n",
+ " DNI_extra time \n",
+ "timestamp day \n",
+ "2001-01-15 06:00:00 1 1413.981805 2010-01-01 06:00:00 \n",
+ "2001-01-15 07:00:00 1 1413.981805 2010-01-01 07:00:00 \n",
+ "2001-01-15 08:00:00 1 1413.981805 2010-01-01 08:00:00 \n",
+ "2001-01-15 09:00:00 1 1413.981805 2010-01-01 09:00:00 \n",
+ "2001-01-15 10:00:00 1 1413.981805 2010-01-01 10:00:00 "
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "solpos_merged = solpos.merge(times, left_index = True, right_on = 'time').set_index(['timestamp', 'day'])\n",
+ "solpos_merged.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "meteo = xr.merge([G_all_nonzero,\n",
+ " solpos_merged.to_xarray()[['apparent_zenith', 'azimuth', 'rel_airmass', 'DNI_extra']]])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 ...\n",
+ " SISDIR (day, timestamp, lat, lon) float32 ...\n",
+ " ALB (day, timestamp, lat, lon) float32 ...\n",
+ " time (day, timestamp) datetime64[ns] ...\n",
+ " apparent_zenith (timestamp, day) float64 101.8 101.8 101.8 ... 92.68 92.55\n",
+ " azimuth (timestamp, day) float64 111.2 111.0 110.9 ... 238.3 238.3\n",
+ " rel_airmass (timestamp, day) float64 nan nan nan nan ... nan nan nan\n",
+ " DNI_extra (timestamp, day) float64 1.414e+03 1.414e+03 ... 1.414e+03</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T06:00:00 ... 2001-12-15T16:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 ...\n",
+ " SISDIR (day, timestamp, lat, lon) float32 ...\n",
+ " ALB (day, timestamp, lat, lon) float32 ...\n",
+ " time (day, timestamp) datetime64[ns] ...\n",
+ " apparent_zenith (timestamp, day) float64 101.8 101.8 101.8 ... 92.68 92.55\n",
+ " azimuth (timestamp, day) float64 111.2 111.0 110.9 ... 238.3 238.3\n",
+ " rel_airmass (timestamp, day) float64 nan nan nan nan ... nan nan nan\n",
+ " DNI_extra (timestamp, day) float64 1.414e+03 1.414e+03 ... 1.414e+03"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "meteo"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "meteo = meteo.where(meteo.apparent_zenith <= 90, drop = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 nan nan ... 31.47954\n",
+ " SISDIR (day, timestamp, lat, lon) float32 nan nan ... 13.890479\n",
+ " ALB (day, timestamp, lat, lon) float32 nan nan ... 0.6246667\n",
+ " time (day, timestamp) datetime64[ns] NaT ... 2010-12-31T15:00:00\n",
+ " apparent_zenith (timestamp, day) float64 nan nan nan ... 84.48 84.37 84.25\n",
+ " azimuth (timestamp, day) float64 nan nan nan ... 227.3 227.2 227.2\n",
+ " rel_airmass (timestamp, day) float64 nan nan nan ... 9.491 9.332 9.169\n",
+ " DNI_extra (timestamp, day) float64 nan nan ... 1.414e+03 1.414e+03</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 nan nan ... 31.47954\n",
+ " SISDIR (day, timestamp, lat, lon) float32 nan nan ... 13.890479\n",
+ " ALB (day, timestamp, lat, lon) float32 nan nan ... 0.6246667\n",
+ " time (day, timestamp) datetime64[ns] NaT ... 2010-12-31T15:00:00\n",
+ " apparent_zenith (timestamp, day) float64 nan nan nan ... 84.48 84.37 84.25\n",
+ " azimuth (timestamp, day) float64 nan nan nan ... 227.3 227.2 227.2\n",
+ " rel_airmass (timestamp, day) float64 nan nan nan ... 9.491 9.332 9.169\n",
+ " DNI_extra (timestamp, day) float64 nan nan ... 1.414e+03 1.414e+03"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "meteo"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Prepare weather data:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "meteo['DHI'] = np.maximum((meteo['SIS'] - meteo['SISDIR']), 0)\n",
+ "meteo['DNI'] = SISDIR_to_DNI(meteo['SISDIR'],meteo['apparent_zenith'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Geographic transformation to attach x and y values to lon and lat"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "list_of_locations = G_all_nonzero.isel(timestamp = 0, day = 0).to_dataframe().reset_index()[['lat','lon']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>lat</th>\n",
+ " <th>lon</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.750000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.770833</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.791667</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.812500</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.833333</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24818</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.666667</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24819</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.687500</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24820</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.708334</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24821</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.729167</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24822</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.750000</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>24823 rows × 2 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " lat lon\n",
+ "0 45.750 5.750000\n",
+ "1 45.750 5.770833\n",
+ "2 45.750 5.791667\n",
+ "3 45.750 5.812500\n",
+ "4 45.750 5.833333\n",
+ "... ... ...\n",
+ "24818 47.875 10.666667\n",
+ "24819 47.875 10.687500\n",
+ "24820 47.875 10.708334\n",
+ "24821 47.875 10.729167\n",
+ "24822 47.875 10.750000\n",
+ "\n",
+ "[24823 rows x 2 columns]"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list_of_locations"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/pyproj/crs/crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
+ " return _prepare_from_string(\" \".join(pjargs))\n",
+ "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/pyproj/crs/crs.py:294: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
+ " projstring = _prepare_from_string(\" \".join((projstring, projkwargs)))\n"
+ ]
+ }
+ ],
+ "source": [
+ "latlong = pyproj.Proj(proj='latlong')\n",
+ "swiss = pyproj.Proj(init='EPSG:21781')\n",
+ "swiss(600000, 200000, inverse=True)\n",
+ "transformer = lambda lon, lat: pyproj.transform(latlong, swiss, lon, lat)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:4: DeprecationWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
+ " after removing the cwd from sys.path.\n"
+ ]
+ }
+ ],
+ "source": [
+ "# transform x and y into lon and lat and append to list_of_locations\n",
+ "list_of_locations['x'], list_of_locations['y'] = transformer(list_of_locations['lon'].values, \n",
+ " list_of_locations['lat'].values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>lat</th>\n",
+ " <th>lon</th>\n",
+ " <th>x</th>\n",
+ " <th>y</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.750000</td>\n",
+ " <td>468583.998760</td>\n",
+ " <td>67896.099071</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.770833</td>\n",
+ " <td>470205.071996</td>\n",
+ " <td>67861.370124</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.791667</td>\n",
+ " <td>471826.154581</td>\n",
+ " <td>67827.071937</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.812500</td>\n",
+ " <td>473447.209294</td>\n",
+ " <td>67793.205284</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>45.750</td>\n",
+ " <td>5.833333</td>\n",
+ " <td>475068.310228</td>\n",
+ " <td>67759.768620</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24818</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.666667</td>\n",
+ " <td>841441.713932</td>\n",
+ " <td>307693.446825</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24819</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.687500</td>\n",
+ " <td>842999.041467</td>\n",
+ " <td>307757.783050</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24820</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.708334</td>\n",
+ " <td>844556.423410</td>\n",
+ " <td>307822.535825</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24821</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.729167</td>\n",
+ " <td>846113.717075</td>\n",
+ " <td>307887.699212</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24822</th>\n",
+ " <td>47.875</td>\n",
+ " <td>10.750000</td>\n",
+ " <td>847670.993643</td>\n",
+ " <td>307953.276158</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>24823 rows × 4 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " lat lon x y\n",
+ "0 45.750 5.750000 468583.998760 67896.099071\n",
+ "1 45.750 5.770833 470205.071996 67861.370124\n",
+ "2 45.750 5.791667 471826.154581 67827.071937\n",
+ "3 45.750 5.812500 473447.209294 67793.205284\n",
+ "4 45.750 5.833333 475068.310228 67759.768620\n",
+ "... ... ... ... ...\n",
+ "24818 47.875 10.666667 841441.713932 307693.446825\n",
+ "24819 47.875 10.687500 842999.041467 307757.783050\n",
+ "24820 47.875 10.708334 844556.423410 307822.535825\n",
+ "24821 47.875 10.729167 846113.717075 307887.699212\n",
+ "24822 47.875 10.750000 847670.993643 307953.276158\n",
+ "\n",
+ "[24823 rows x 4 columns]"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list_of_locations"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "# select only spatial dimensions and convert to an xarray dataframe\n",
+ "locations_array = list_of_locations.set_index(['lon','lat']).to_xarray()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (lat: 103, lon: 241)\n",
+ "Coordinates:\n",
+ " * lon (lon) float64 5.75 5.771 5.792 5.812 ... 10.69 10.71 10.73 10.75\n",
+ " * lat (lat) float64 45.75 45.77 45.79 45.81 ... 47.81 47.83 47.85 47.88\n",
+ "Data variables:\n",
+ " x (lon, lat) float64 4.686e+05 4.686e+05 ... 8.478e+05 8.477e+05\n",
+ " y (lon, lat) float64 6.79e+04 7.021e+04 ... 3.056e+05 3.08e+05</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (lat: 103, lon: 241)\n",
+ "Coordinates:\n",
+ " * lon (lon) float64 5.75 5.771 5.792 5.812 ... 10.69 10.71 10.73 10.75\n",
+ " * lat (lat) float64 45.75 45.77 45.79 45.81 ... 47.81 47.83 47.85 47.88\n",
+ "Data variables:\n",
+ " x (lon, lat) float64 4.686e+05 4.686e+05 ... 8.478e+05 8.477e+05\n",
+ " y (lon, lat) float64 6.79e+04 7.021e+04 ... 3.056e+05 3.08e+05"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "locations_array"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "meteo = xr.merge([meteo, locations_array])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Save output"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "SIS\n",
+ "SISDIR\n",
+ "ALB\n",
+ "time\n",
+ "apparent_zenith\n",
+ "azimuth\n",
+ "rel_airmass\n",
+ "DNI_extra\n",
+ "day\n",
+ "lon\n",
+ "lat\n",
+ "timestamp\n",
+ "DHI\n",
+ "DNI\n",
+ "x\n",
+ "y\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Reduce file size\n",
+ "for var in meteo.variables:\n",
+ " print(var)\n",
+ " if var in ['timestamp', 'day', 'lat', 'lon', 'time']: continue\n",
+ " \n",
+ " meteo[var] = meteo[var].astype('float32')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 nan nan ... 31.47954\n",
+ " SISDIR (day, timestamp, lat, lon) float32 nan nan ... 13.890479\n",
+ " ALB (day, timestamp, lat, lon) float32 nan nan ... 0.6246667\n",
+ " time (day, timestamp) datetime64[ns] NaT ... 2010-12-31T15:00:00\n",
+ " apparent_zenith (timestamp, day) float32 nan nan nan ... 84.367714 84.2502\n",
+ " azimuth (timestamp, day) float32 nan nan ... 227.20596 227.15218\n",
+ " rel_airmass (timestamp, day) float32 nan nan nan ... 9.33155 9.169425\n",
+ " DNI_extra (timestamp, day) float32 nan nan ... 1413.8844 1413.9406\n",
+ " DHI (day, timestamp, lat, lon) float32 nan nan ... 17.589062\n",
+ " DNI (day, timestamp, lat, lon) float32 nan nan ... 138.6488\n",
+ " x (lon, lat) float32 468584.0 468633.9 ... 847768.8 847671.0\n",
+ " y (lon, lat) float32 67896.1 70211.484 ... 305638.3 307953.28</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ "Data variables:\n",
+ " SIS (day, timestamp, lat, lon) float32 nan nan ... 31.47954\n",
+ " SISDIR (day, timestamp, lat, lon) float32 nan nan ... 13.890479\n",
+ " ALB (day, timestamp, lat, lon) float32 nan nan ... 0.6246667\n",
+ " time (day, timestamp) datetime64[ns] NaT ... 2010-12-31T15:00:00\n",
+ " apparent_zenith (timestamp, day) float32 nan nan nan ... 84.367714 84.2502\n",
+ " azimuth (timestamp, day) float32 nan nan ... 227.20596 227.15218\n",
+ " rel_airmass (timestamp, day) float32 nan nan nan ... 9.33155 9.169425\n",
+ " DNI_extra (timestamp, day) float32 nan nan ... 1413.8844 1413.9406\n",
+ " DHI (day, timestamp, lat, lon) float32 nan nan ... 17.589062\n",
+ " DNI (day, timestamp, lat, lon) float32 nan nan ... 138.6488\n",
+ " x (lon, lat) float32 468584.0 468633.9 ... 847768.8 847671.0\n",
+ " y (lon, lat) float32 67896.1 70211.484 ... 305638.3 307953.28"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "meteo"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "meteo.to_netcdf(os.path.join(fp, '%d_physical_potential_interp.nc' %YEAR))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Potential_hourly/2_exec_pv_pipeline_batch.sh b/Potential_hourly/2_exec_pv_pipeline_batch.sh
new file mode 100644
index 0000000..2815874
--- /dev/null
+++ b/Potential_hourly/2_exec_pv_pipeline_batch.sh
@@ -0,0 +1,108 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=pv_pipe_hr
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=125G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=1
+#SBATCH --time=04:00:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1-97 ###97
+
+#SBATCH -o pv_pipe_hr_%A_%a.out # Standard output
+#SBATCH -e pv_pipe_hr_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_hourly # PATH TO WORKING DIRECTORY
+
+## ====== User input
+
+PATH_TO_SCRIPT=$WORKDIR\/poa_irradiance.py
+PATH_TO_SCRIPT2=$WORKDIR\/merge_poa_batch.py
+
+PATH_TO_IRRAD=$WORKDIR\/compute_tilted_irrad_batch.py
+PATH_TO_PV=$WORKDIR\/compute_PV_output_batch.py
+
+# input file paths:
+ROOFTOPS=/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv # ABSOLUTE PATH TO FILE WITH ROOFTOP INFORMATION
+METEO=/work/hyenergy/raw/METEO/MeteoSwiss_satellite/2010_physical_potential_interp.nc # ABSOLUTE PATH TO FILE WITH SOLAR RADIATION DATA
+ALBEDO='map' # (choose btw map and constant)
+
+BATCH_SIZE=100000 # 200000 corresponds to 49 batches, 100000 corresponds to 97 batches
+MINIBATCH_SIZE=1000
+N_MINIBATCH=`expr $BATCH_SIZE \/ $MINIBATCH_SIZE - 1`
+
+## ===== Variable definitions
+
+CURR_ID=`expr $N - 1`
+START_ID=`expr $CURR_ID \* $BATCH_SIZE`
+
+## ===== Execute script
+source activate py3
+
+for BATCH in `seq 0 $N_MINIBATCH`
+do
+ START_BATCH=`expr $START_ID + $BATCH \* $MINIBATCH_SIZE + 1`
+ OUTPUT=$WORKDIR\/tmp/poa_irradiance_$CURR_ID\_$BATCH\.nc
+ python $PATH_TO_SCRIPT $METEO $ROOFTOPS $OUTPUT $ALBEDO $START_BATCH $MINIBATCH_SIZE
+done
+
+echo
+echo FINISHED LOOP AT $(date)
+echo
+
+OUTPUT=$WORKDIR\/tmp/poa_irradiance_$CURR_ID\.nc
+python $PATH_TO_SCRIPT2 $OUTPUT
+
+if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ rm $WORKDIR\/tmp/poa_irradiance_$CURR_ID\_*.nc
+fi
+
+echo
+echo FINISHED POA IRRAD AT $(date)
+echo
+
+if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ TILT_IRRAD_FP=$WORKDIR\/tmp/tilted_irrad_$CURR_ID\.nc
+ python $PATH_TO_IRRAD $OUTPUT $TILT_IRRAD_FP
+fi
+
+echo
+echo FINISHED TILTED IRRAD AT $(date)
+echo
+
+if test -f "$TILT_IRRAD_FP"; then
+ echo "$TILT_IRRAD_FP exist"
+ PV_POT_FP=$WORKDIR\/tmp/pv_potential_$CURR_ID\.nc
+ python $PATH_TO_PV $TILT_IRRAD_FP $PV_POT_FP
+fi
+
+echo
+echo FINISHED PV POTENTIAL AT $(date)
+
+# conda deactivate
+
+echo
+echo FINISHED AT $(date)
diff --git a/Potential_hourly/3_exec_postprocess.sh b/Potential_hourly/3_exec_postprocess.sh
new file mode 100644
index 0000000..08f0a14
--- /dev/null
+++ b/Potential_hourly/3_exec_postprocess.sh
@@ -0,0 +1,82 @@
+#!/bin/bash
+
+## == Settings
+
+#SBATCH --job-name=postprocess_hr
+
+#SBATCH --account=leso-pb
+
+#SBATCH --nodes=1
+#SBATCH --mem=30G
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=8
+#SBATCH --time=10:00:00
+
+#SBATCH --chdir=./output
+
+#SBATCH --array=1-1 ###97
+
+#SBATCH -o postprocess_hr_%A_%a.out # Standard output
+#SBATCH -e postprocess_hr_%A_%a.err # Standard error
+
+echo STARTING AT $(date)
+echo
+
+## ====== Specify here the needed modules
+
+module purge
+module load gcc python/3.7.3
+
+## ====== Get slurm array ID
+
+N=1 # ${SLURM_ARRAY_TASK_ID}
+echo Slurm array task ID: $N
+echo
+
+WORKDIR=/scratch/walch/workdir_solar_hourly # PATH TO WORKING DIRECTORY
+
+## ====== User input
+
+PATH_TO_SCRIPT_ANNUAL=$WORKDIR\/merge_annual_data.py
+PATH_TO_SCRIPT_COMMUNE=$WORKDIR\/merge_commune_batch.py
+PATH_TO_SCRIPT_COMM_SUM=$WORKDIR\/merge_commune_all.py
+
+N_BATCHES=97
+LAST_BATCH=`expr $N_BATCHES - 1`
+
+## ===== Variable definitions
+
+CURR_ID=`expr $N - 1`
+
+## ===== Execute script
+source activate py3
+
+# Save annual data
+PV_PATH=$WORKDIR\/tmp
+OUTPATH=$WORKDIR\/files
+
+mkdir $OUTPATH
+
+python $PATH_TO_SCRIPT_ANNUAL $PV_PATH $OUTPATH
+
+for BATCH in `seq 0 $LAST_BATCH`
+do
+ PV_FP=$PV_PATH\/pv_potential_$BATCH\.nc
+ GT_FP=$PV_PATH\/tilted_irrad_$BATCH\.nc
+ OUTFP=$OUTPATH\/2010_commune_hourly_$BATCH\.nc
+
+ python $PATH_TO_SCRIPT_COMMUNE $PV_FP $GT_FP $OUTFP
+done
+
+OUT_ALL=$OUTPATH\/2010_commune_hourly.nc
+python $PATH_TO_SCRIPT_COMM_SUM $OUT_ALL $N_BATCHES
+
+if test -f "$OUTPATH\/2010_commune_hourly_gt.csv"; then
+ echo "$OUTPATH\/2010_commune_hourly_gt.csv exist"
+ rm $OUTPATH\/2010_commune_hourly_*.nc
+fi
+
+# conda deactivate
+
+echo
+echo FINISHED AT $(date)
\ No newline at end of file
diff --git a/Potential_hourly/Evaluate_results.ipynb b/Potential_hourly/Evaluate_results.ipynb
new file mode 100644
index 0000000..38bce99
--- /dev/null
+++ b/Potential_hourly/Evaluate_results.ipynb
@@ -0,0 +1,3189 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "import os"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Check test files"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "poa_irrad = xr.open_dataset('files/test/poa_irradiance_test.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tilted_irrad = xr.open_dataset('files/test/tilted_irrad_test.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ROOFS_FP = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv'\n",
+ "roofs = pd.read_csv( ROOFS_FP, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt', 'AUSRICHTUNG','FLAECHE'] ) \n",
+ "roofs = roofs[roofs.DF_UID.isin(tilted_irrad.DF_UID.values)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roofs_w_pot = pd.concat([roofs.set_index('DF_UID'), tilted_irrad.yearly_kWh_m2.to_dataframe()], axis = 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>panel_tilt</th>\n",
+ " <th>yearly_kWh_m2</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>2050</th>\n",
+ " <td>10.823093</td>\n",
+ " <td>25</td>\n",
+ " <td>-21.0</td>\n",
+ " <td>25</td>\n",
+ " <td>1123.698486</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2051</th>\n",
+ " <td>51.853716</td>\n",
+ " <td>40</td>\n",
+ " <td>-23.0</td>\n",
+ " <td>40</td>\n",
+ " <td>1024.936768</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2052</th>\n",
+ " <td>49.702009</td>\n",
+ " <td>43</td>\n",
+ " <td>157.0</td>\n",
+ " <td>43</td>\n",
+ " <td>551.977783</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2053</th>\n",
+ " <td>18.724942</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>1016.363892</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2054</th>\n",
+ " <td>54.091950</td>\n",
+ " <td>46</td>\n",
+ " <td>168.0</td>\n",
+ " <td>46</td>\n",
+ " <td>499.927795</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2551</th>\n",
+ " <td>12.929456</td>\n",
+ " <td>39</td>\n",
+ " <td>118.0</td>\n",
+ " <td>39</td>\n",
+ " <td>644.477722</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2553</th>\n",
+ " <td>108.510771</td>\n",
+ " <td>37</td>\n",
+ " <td>28.0</td>\n",
+ " <td>37</td>\n",
+ " <td>1094.246948</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2554</th>\n",
+ " <td>0.018910</td>\n",
+ " <td>46</td>\n",
+ " <td>-152.0</td>\n",
+ " <td>46</td>\n",
+ " <td>525.529480</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2555</th>\n",
+ " <td>70.755295</td>\n",
+ " <td>46</td>\n",
+ " <td>-152.0</td>\n",
+ " <td>46</td>\n",
+ " <td>499.604889</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2556</th>\n",
+ " <td>49.314219</td>\n",
+ " <td>35</td>\n",
+ " <td>28.0</td>\n",
+ " <td>35</td>\n",
+ " <td>1108.137085</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>500 rows × 5 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " FLAECHE NEIGUNG AUSRICHTUNG panel_tilt yearly_kWh_m2\n",
+ "DF_UID \n",
+ "2050 10.823093 25 -21.0 25 1123.698486\n",
+ "2051 51.853716 40 -23.0 40 1024.936768\n",
+ "2052 49.702009 43 157.0 43 551.977783\n",
+ "2053 18.724942 0 0.0 30 1016.363892\n",
+ "2054 54.091950 46 168.0 46 499.927795\n",
+ "... ... ... ... ... ...\n",
+ "2551 12.929456 39 118.0 39 644.477722\n",
+ "2553 108.510771 37 28.0 37 1094.246948\n",
+ "2554 0.018910 46 -152.0 46 525.529480\n",
+ "2555 70.755295 46 -152.0 46 499.604889\n",
+ "2556 49.314219 35 28.0 35 1108.137085\n",
+ "\n",
+ "[500 rows x 5 columns]"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roofs_w_pot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure()\n",
+ "plt.scatter( roofs_w_pot.AUSRICHTUNG, roofs_w_pot.panel_tilt,\n",
+ " c = roofs_w_pot.yearly_kWh_m2, cmap = 'Spectral_r', s = 3 )\n",
+ "plt.colorbar(label = 'Annual $G_t$')\n",
+ "plt.xlabel('AUSRICHTUNG')\n",
+ "plt.ylabel('panel_tilt')\n",
+ "plt.tight_layout()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "Gt_df = tilted_irrad.to_dataframe().reset_index().dropna().set_index('time')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x31daea210>"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plt.figure()\n",
+ "Gt_df[Gt_df.DF_UID == 2050].tilted_irradiance.plot()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Check PV output"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pv_pot = xr.open_dataset('files/test/pv_potential_test.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 500, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 2050 2051 2052 2053 ... 2553 2554 2555 2556\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 23 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp, day) float32 ...\n",
+ " yearly_PV_kWh (DF_UID) float32 ...\n",
+ " time (day, timestamp) datetime64[ns] ...</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 500, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 2050 2051 2052 2053 ... 2553 2554 2555 2556\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 23 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp, day) float32 ...\n",
+ " yearly_PV_kWh (DF_UID) float32 ...\n",
+ " time (day, timestamp) datetime64[ns] ..."
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pv_pot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roofs_w_pot = pd.concat([roofs_w_pot, pv_pot.yearly_PV_kWh.to_dataframe()], axis = 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>panel_tilt</th>\n",
+ " <th>yearly_kWh_m2</th>\n",
+ " <th>yearly_PV_kWh</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>DF_UID</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>2050</th>\n",
+ " <td>10.823093</td>\n",
+ " <td>25</td>\n",
+ " <td>-21.0</td>\n",
+ " <td>25</td>\n",
+ " <td>1123.698486</td>\n",
+ " <td>44.697376</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2051</th>\n",
+ " <td>51.853716</td>\n",
+ " <td>40</td>\n",
+ " <td>-23.0</td>\n",
+ " <td>40</td>\n",
+ " <td>1024.936768</td>\n",
+ " <td>1950.453369</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2052</th>\n",
+ " <td>49.702009</td>\n",
+ " <td>43</td>\n",
+ " <td>157.0</td>\n",
+ " <td>43</td>\n",
+ " <td>551.977783</td>\n",
+ " <td>1171.615356</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2053</th>\n",
+ " <td>18.724942</td>\n",
+ " <td>0</td>\n",
+ " <td>0.0</td>\n",
+ " <td>30</td>\n",
+ " <td>1016.363892</td>\n",
+ " <td>55.212894</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2054</th>\n",
+ " <td>54.091950</td>\n",
+ " <td>46</td>\n",
+ " <td>168.0</td>\n",
+ " <td>46</td>\n",
+ " <td>499.927795</td>\n",
+ " <td>345.290955</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2551</th>\n",
+ " <td>12.929456</td>\n",
+ " <td>39</td>\n",
+ " <td>118.0</td>\n",
+ " <td>39</td>\n",
+ " <td>644.477722</td>\n",
+ " <td>62.890789</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2553</th>\n",
+ " <td>108.510771</td>\n",
+ " <td>37</td>\n",
+ " <td>28.0</td>\n",
+ " <td>37</td>\n",
+ " <td>1094.246948</td>\n",
+ " <td>7662.101074</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2554</th>\n",
+ " <td>0.018910</td>\n",
+ " <td>46</td>\n",
+ " <td>-152.0</td>\n",
+ " <td>46</td>\n",
+ " <td>525.529480</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2555</th>\n",
+ " <td>70.755295</td>\n",
+ " <td>46</td>\n",
+ " <td>-152.0</td>\n",
+ " <td>46</td>\n",
+ " <td>499.604889</td>\n",
+ " <td>1386.452148</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2556</th>\n",
+ " <td>49.314219</td>\n",
+ " <td>35</td>\n",
+ " <td>28.0</td>\n",
+ " <td>35</td>\n",
+ " <td>1108.137085</td>\n",
+ " <td>2463.930908</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>500 rows × 6 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " FLAECHE NEIGUNG AUSRICHTUNG panel_tilt yearly_kWh_m2 \\\n",
+ "DF_UID \n",
+ "2050 10.823093 25 -21.0 25 1123.698486 \n",
+ "2051 51.853716 40 -23.0 40 1024.936768 \n",
+ "2052 49.702009 43 157.0 43 551.977783 \n",
+ "2053 18.724942 0 0.0 30 1016.363892 \n",
+ "2054 54.091950 46 168.0 46 499.927795 \n",
+ "... ... ... ... ... ... \n",
+ "2551 12.929456 39 118.0 39 644.477722 \n",
+ "2553 108.510771 37 28.0 37 1094.246948 \n",
+ "2554 0.018910 46 -152.0 46 525.529480 \n",
+ "2555 70.755295 46 -152.0 46 499.604889 \n",
+ "2556 49.314219 35 28.0 35 1108.137085 \n",
+ "\n",
+ " yearly_PV_kWh \n",
+ "DF_UID \n",
+ "2050 44.697376 \n",
+ "2051 1950.453369 \n",
+ "2052 1171.615356 \n",
+ "2053 55.212894 \n",
+ "2054 345.290955 \n",
+ "... ... \n",
+ "2551 62.890789 \n",
+ "2553 7662.101074 \n",
+ "2554 0.000000 \n",
+ "2555 1386.452148 \n",
+ "2556 2463.930908 \n",
+ "\n",
+ "[500 rows x 6 columns]"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roofs_w_pot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PV_df = pv_pot.to_dataframe().reset_index().dropna().set_index('time')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x31dbba710>"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plt.figure()\n",
+ "PV_df[PV_df.DF_UID == 2556].pv_potential.plot()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Compare with MMH"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "files_path = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/'\n",
+ "gt_mmh_FP = 'tilted_irradiance_ELM50_1000_dhm25_200_interp_SVF_nobias.nc'\n",
+ "pv_mmh_FP = 'pv_potential_ELM50_1000_dhm25_200_SVF_eff_nobias.nc'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "gt_mmh = xr.open_dataset(os.path.join(files_path, gt_mmh_FP)).sel(DF_UID = pv_pot.DF_UID.values)\n",
+ "pv_mmh = xr.open_dataset(os.path.join(files_path, pv_mmh_FP)).sel(DF_UID = pv_pot.DF_UID.values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roofs_w_pot['Gt_mmh'] = gt_mmh.yearly_kWh_m2.to_dataframe().yearly_kWh_m2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roofs_w_pot['pv_mmh'] = pv_mmh.yearly_PV_kWh.to_dataframe().yearly_PV_kWh"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roofs_w_pot['perc_diff_Gt'] = (roofs_w_pot.yearly_kWh_m2 - roofs_w_pot.Gt_mmh) / roofs_w_pot.Gt_mmh\n",
+ "roofs_w_pot['perc_diff_PV'] = (roofs_w_pot.yearly_PV_kWh - roofs_w_pot.pv_mmh) / roofs_w_pot.pv_mmh"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>panel_tilt</th>\n",
+ " <th>yearly_kWh_m2</th>\n",
+ " <th>yearly_PV_kWh</th>\n",
+ " <th>Gt_mmh</th>\n",
+ " <th>pv_mmh</th>\n",
+ " <th>perc_diff_Gt</th>\n",
+ " <th>perc_diff_PV</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>count</th>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>500.000000</td>\n",
+ " <td>457.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>mean</th>\n",
+ " <td>63.408138</td>\n",
+ " <td>29.462000</td>\n",
+ " <td>-7.714000</td>\n",
+ " <td>31.142000</td>\n",
+ " <td>877.020874</td>\n",
+ " <td>3358.923584</td>\n",
+ " <td>961.495686</td>\n",
+ " <td>3666.385986</td>\n",
+ " <td>-0.080639</td>\n",
+ " <td>-0.074809</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>std</th>\n",
+ " <td>58.741523</td>\n",
+ " <td>12.685519</td>\n",
+ " <td>100.779806</td>\n",
+ " <td>10.459668</td>\n",
+ " <td>187.474106</td>\n",
+ " <td>4860.361816</td>\n",
+ " <td>231.885347</td>\n",
+ " <td>5314.360840</td>\n",
+ " <td>0.032511</td>\n",
+ " <td>0.038631</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>min</th>\n",
+ " <td>0.018910</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>-180.000000</td>\n",
+ " <td>1.000000</td>\n",
+ " <td>373.953033</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>373.009466</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>-0.140173</td>\n",
+ " <td>-0.142142</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25%</th>\n",
+ " <td>23.321160</td>\n",
+ " <td>20.750000</td>\n",
+ " <td>-109.000000</td>\n",
+ " <td>24.000000</td>\n",
+ " <td>715.261963</td>\n",
+ " <td>448.052551</td>\n",
+ " <td>762.690376</td>\n",
+ " <td>478.153618</td>\n",
+ " <td>-0.108541</td>\n",
+ " <td>-0.106902</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50%</th>\n",
+ " <td>53.935676</td>\n",
+ " <td>31.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>31.000000</td>\n",
+ " <td>894.387421</td>\n",
+ " <td>1921.676147</td>\n",
+ " <td>987.175230</td>\n",
+ " <td>2059.667480</td>\n",
+ " <td>-0.089006</td>\n",
+ " <td>-0.082777</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>75%</th>\n",
+ " <td>84.280780</td>\n",
+ " <td>38.000000</td>\n",
+ " <td>63.000000</td>\n",
+ " <td>38.000000</td>\n",
+ " <td>1040.930267</td>\n",
+ " <td>4479.543457</td>\n",
+ " <td>1163.230009</td>\n",
+ " <td>4929.560303</td>\n",
+ " <td>-0.055535</td>\n",
+ " <td>-0.049416</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>max</th>\n",
+ " <td>531.077700</td>\n",
+ " <td>67.000000</td>\n",
+ " <td>180.000000</td>\n",
+ " <td>67.000000</td>\n",
+ " <td>1173.112061</td>\n",
+ " <td>45455.597656</td>\n",
+ " <td>1326.690166</td>\n",
+ " <td>50394.667969</td>\n",
+ " <td>0.013676</td>\n",
+ " <td>0.035620</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " FLAECHE NEIGUNG AUSRICHTUNG panel_tilt yearly_kWh_m2 \\\n",
+ "count 500.000000 500.000000 500.000000 500.000000 500.000000 \n",
+ "mean 63.408138 29.462000 -7.714000 31.142000 877.020874 \n",
+ "std 58.741523 12.685519 100.779806 10.459668 187.474106 \n",
+ "min 0.018910 0.000000 -180.000000 1.000000 373.953033 \n",
+ "25% 23.321160 20.750000 -109.000000 24.000000 715.261963 \n",
+ "50% 53.935676 31.000000 0.000000 31.000000 894.387421 \n",
+ "75% 84.280780 38.000000 63.000000 38.000000 1040.930267 \n",
+ "max 531.077700 67.000000 180.000000 67.000000 1173.112061 \n",
+ "\n",
+ " yearly_PV_kWh Gt_mmh pv_mmh perc_diff_Gt perc_diff_PV \n",
+ "count 500.000000 500.000000 500.000000 500.000000 457.000000 \n",
+ "mean 3358.923584 961.495686 3666.385986 -0.080639 -0.074809 \n",
+ "std 4860.361816 231.885347 5314.360840 0.032511 0.038631 \n",
+ "min 0.000000 373.009466 0.000000 -0.140173 -0.142142 \n",
+ "25% 448.052551 762.690376 478.153618 -0.108541 -0.106902 \n",
+ "50% 1921.676147 987.175230 2059.667480 -0.089006 -0.082777 \n",
+ "75% 4479.543457 1163.230009 4929.560303 -0.055535 -0.049416 \n",
+ "max 45455.597656 1326.690166 50394.667969 0.013676 0.035620 "
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roofs_w_pot.describe()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Potential_hourly/Merge_and_postprocess.ipynb b/Potential_hourly/Merge_and_postprocess.ipynb
new file mode 100644
index 0000000..2d81936
--- /dev/null
+++ b/Potential_hourly/Merge_and_postprocess.ipynb
@@ -0,0 +1,6578 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "\n",
+ "import os\n",
+ "import time\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Define file paths"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "COMM_FP = '/Users/alinawalch/Documents/EPFL/data/EMPA_data/Sonnendach_Gemeinden_Dachflaechen.csv'\n",
+ "ROOF_FP = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv'\n",
+ "AREA_FP = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/PRED_available_area_unc_filled.csv'\n",
+ "PV_PATH = 'files'\n",
+ "OUTPATH = '/Users/alinawalch/Documents/EPFL/data/EMPA_data/'\n",
+ "DF_OUT = '2010_annual_roofs.csv'\n",
+ "HR_OUT = '2010_hourly_comms.nc'\n",
+ "PV_OUT = '2010_hourly_pv_kW.csv'\n",
+ "GT_OUT = '2010_hourly_gt_kW_m2.csv'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load commune map"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "comm_map = pd.read_csv(COMM_FP, encoding = 'cp1250', usecols = ['DF_UID', 'BFS_NUMMER', 'NAME'] )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "9583009"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(comm_map)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load roof data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roofs = pd.read_csv(ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'SB_UUID', 'XCOORD', 'YCOORD'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "9639231"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(roofs)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "av_area = pd.read_csv(AREA_FP, usecols = ['DF_UID', 'available_area', 'available_area_std'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "9639231"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(av_area)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roof_info = roofs.merge(av_area, on = 'DF_UID').merge(comm_map, on = 'DF_UID', how = 'left')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>available_area</th>\n",
+ " <th>available_area_std</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>NAME</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>37</td>\n",
+ " <td>10.0</td>\n",
+ " <td>1.437423</td>\n",
+ " <td>1.850753</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>44</td>\n",
+ " <td>-170.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>12</td>\n",
+ " <td>-80.0</td>\n",
+ " <td>29.414390</td>\n",
+ " <td>13.349188</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>33</td>\n",
+ " <td>-80.0</td>\n",
+ " <td>14.224941</td>\n",
+ " <td>6.081246</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>35</td>\n",
+ " <td>100.0</td>\n",
+ " <td>10.472945</td>\n",
+ " <td>6.134511</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID NEIGUNG AUSRICHTUNG available_area available_area_std \\\n",
+ "0 1 37 10.0 1.437423 1.850753 \n",
+ "1 2 44 -170.0 0.000000 0.000000 \n",
+ "2 3 12 -80.0 29.414390 13.349188 \n",
+ "3 4 33 -80.0 14.224941 6.081246 \n",
+ "4 5 35 100.0 10.472945 6.134511 \n",
+ "\n",
+ " BFS_NUMMER NAME \n",
+ "0 2823.0 Bubendorf \n",
+ "1 2823.0 Bubendorf \n",
+ "2 2823.0 Bubendorf \n",
+ "3 2823.0 Bubendorf \n",
+ "4 2823.0 Bubendorf "
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roof_info.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# TMP: check missing DF_UIDs"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roof_info = roofs.merge(comm_map, on = 'DF_UID', how = 'left')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
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+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>SB_UUID</th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>XCOORD</th>\n",
+ " <th>YCOORD</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>NAME</th>\n",
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+ " <td>21.198141</td>\n",
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+ " <td>NaN</td>\n",
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+ " <td>282421.706365</td>\n",
+ " <td>141.0</td>\n",
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+ " <td>692230.961673</td>\n",
+ " <td>282419.346105</td>\n",
+ " <td>-39.0</td>\n",
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+ " <th>...</th>\n",
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+ " </tr>\n",
+ " <tr>\n",
+ " <th>8011839</th>\n",
+ " <td>8234824</td>\n",
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+ " <td>0.703420</td>\n",
+ " <td>28</td>\n",
+ " <td>562395.000719</td>\n",
+ " <td>253537.088484</td>\n",
+ " <td>140.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
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+ " <tr>\n",
+ " <th>8011840</th>\n",
+ " <td>8234825</td>\n",
+ " <td>{25D1DDAA-69AE-4D8F-8E0E-A8E969F8100A}</td>\n",
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+ " <td>28</td>\n",
+ " <td>562395.313720</td>\n",
+ " <td>253537.288151</td>\n",
+ " <td>155.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8011841</th>\n",
+ " <td>8234826</td>\n",
+ " <td>{25D1DDAA-69AE-4D8F-8E0E-A8E969F8100A}</td>\n",
+ " <td>0.701533</td>\n",
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+ " <td>562395.666054</td>\n",
+ " <td>253537.403485</td>\n",
+ " <td>169.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8011842</th>\n",
+ " <td>8234827</td>\n",
+ " <td>{25D1DDAA-69AE-4D8F-8E0E-A8E969F8100A}</td>\n",
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+ " <td>562396.036055</td>\n",
+ " <td>253537.427818</td>\n",
+ " <td>-177.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9210907</th>\n",
+ " <td>9448763</td>\n",
+ " <td>{5CB06AF3-9CE0-49FC-A225-BAE754DBE7E4}</td>\n",
+ " <td>52.765264</td>\n",
+ " <td>28</td>\n",
+ " <td>616207.882424</td>\n",
+ " <td>91294.687766</td>\n",
+ " <td>-28.0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>56222 rows × 9 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID SB_UUID FLAECHE NEIGUNG \\\n",
+ "2822314 2966610 {FDD136B3-8643-4751-A842-E83F517CEE9A} 77.701253 38 \n",
+ "2822315 2966611 {FDD136B3-8643-4751-A842-E83F517CEE9A} 21.198141 36 \n",
+ "2822316 2966612 {FDD136B3-8643-4751-A842-E83F517CEE9A} 45.443198 39 \n",
+ "2822319 2966615 {C594F2E0-1358-43AF-86E5-226FD80F5DB7} 70.568723 44 \n",
+ "2822320 2966616 {C594F2E0-1358-43AF-86E5-226FD80F5DB7} 96.369689 41 \n",
+ "... ... ... ... ... \n",
+ "8011839 8234824 {25D1DDAA-69AE-4D8F-8E0E-A8E969F8100A} 0.703420 28 \n",
+ "8011840 8234825 {25D1DDAA-69AE-4D8F-8E0E-A8E969F8100A} 0.702511 28 \n",
+ "8011841 8234826 {25D1DDAA-69AE-4D8F-8E0E-A8E969F8100A} 0.701533 28 \n",
+ "8011842 8234827 {25D1DDAA-69AE-4D8F-8E0E-A8E969F8100A} 0.702721 28 \n",
+ "9210907 9448763 {5CB06AF3-9CE0-49FC-A225-BAE754DBE7E4} 52.765264 28 \n",
+ "\n",
+ " XCOORD YCOORD AUSRICHTUNG BFS_NUMMER NAME \n",
+ "2822314 692198.845598 282448.334852 -177.0 NaN NaN \n",
+ "2822315 692195.638869 282440.821701 3.0 NaN NaN \n",
+ "2822316 692199.508652 282440.321210 3.0 NaN NaN \n",
+ "2822319 692227.410826 282421.706365 141.0 NaN NaN \n",
+ "2822320 692230.961673 282419.346105 -39.0 NaN NaN \n",
+ "... ... ... ... ... ... \n",
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+ "8011840 562395.313720 253537.288151 155.0 NaN NaN \n",
+ "8011841 562395.666054 253537.403485 169.0 NaN NaN \n",
+ "8011842 562396.036055 253537.427818 -177.0 NaN NaN \n",
+ "9210907 616207.882424 91294.687766 -28.0 NaN NaN \n",
+ "\n",
+ "[56222 rows x 9 columns]"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roof_info[ roof_info.BFS_NUMMER.isna() ]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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+ },
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "(471786.51827300334, 847751.0791968413, 65022.64734061747, 302979.73627738276)"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plt.figure()\n",
+ "CH = roof_info.dropna().sample(10000)\n",
+ "missing = roof_info[ roof_info.BFS_NUMMER.isna() ].sample(2000)\n",
+ "\n",
+ "plt.scatter(CH.XCOORD, CH.YCOORD, s = 1)\n",
+ "plt.scatter(missing.XCOORD, missing.YCOORD, c='r', s = 1)\n",
+ "plt.axis('equal')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Get suitable roofs"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "FLAT_TILT = 10\n",
+ "MAX_ASPECT = 90"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roof_info['suitable'] = ( ( (roof_info.NEIGUNG <= FLAT_TILT) | (abs(roof_info.AUSRICHTUNG) <= MAX_ASPECT) )\n",
+ " & (roof_info.available_area >= 8) ).astype(int)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>available_area</th>\n",
+ " <th>available_area_std</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>NAME</th>\n",
+ " <th>suitable</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>37</td>\n",
+ " <td>10.0</td>\n",
+ " <td>1.437423</td>\n",
+ " <td>1.850753</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>44</td>\n",
+ " <td>-170.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>12</td>\n",
+ " <td>-80.0</td>\n",
+ " <td>29.414390</td>\n",
+ " <td>13.349188</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>33</td>\n",
+ " <td>-80.0</td>\n",
+ " <td>14.224941</td>\n",
+ " <td>6.081246</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " <td>1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>35</td>\n",
+ " <td>100.0</td>\n",
+ " <td>10.472945</td>\n",
+ " <td>6.134511</td>\n",
+ " <td>2823.0</td>\n",
+ " <td>Bubendorf</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID NEIGUNG AUSRICHTUNG available_area available_area_std \\\n",
+ "0 1 37 10.0 1.437423 1.850753 \n",
+ "1 2 44 -170.0 0.000000 0.000000 \n",
+ "2 3 12 -80.0 29.414390 13.349188 \n",
+ "3 4 33 -80.0 14.224941 6.081246 \n",
+ "4 5 35 100.0 10.472945 6.134511 \n",
+ "\n",
+ " BFS_NUMMER NAME suitable \n",
+ "0 2823.0 Bubendorf 0 \n",
+ "1 2823.0 Bubendorf 0 \n",
+ "2 2823.0 Bubendorf 1 \n",
+ "3 2823.0 Bubendorf 1 \n",
+ "4 2823.0 Bubendorf 0 "
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roof_info.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load prediction"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tilted_irrad = xr.open_mfdataset( os.path.join(PV_PATH, 'tilted_irrad_*.nc'), combine = 'by_coords' )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pv_potential = xr.open_mfdataset( os.path.join(PV_PATH, 'pv_potential_*.nc'), combine = 'by_coords' )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roof_info = roof_info.merge( tilted_irrad.yearly_kWh_m2.to_series().rename('Gt_kWh_m2'), on = 'DF_UID' )\n",
+ "roof_info = roof_info.merge( pv_potential.yearly_PV_kWh.to_series().rename('EPV_kWh'), on = 'DF_UID' )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>available_area</th>\n",
+ " <th>available_area_std</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>NAME</th>\n",
+ " <th>suitable</th>\n",
+ " <th>Gt_kWh_m2</th>\n",
+ " <th>EPV_kWh</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>202618</td>\n",
+ " <td>30</td>\n",
+ " <td>103.0</td>\n",
+ " <td>15.059260</td>\n",
+ " <td>6.921315</td>\n",
+ " <td>90.0</td>\n",
+ " <td>Niederhasli</td>\n",
+ " <td>0</td>\n",
+ " <td>895.026367</td>\n",
+ " <td>1863.524414</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>202619</td>\n",
+ " <td>8</td>\n",
+ " <td>13.0</td>\n",
+ " <td>0.513204</td>\n",
+ " <td>0.858346</td>\n",
+ " <td>90.0</td>\n",
+ " <td>Niederhasli</td>\n",
+ " <td>0</td>\n",
+ " <td>1014.987061</td>\n",
+ " <td>71.615372</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>202620</td>\n",
+ " <td>11</td>\n",
+ " <td>-33.0</td>\n",
+ " <td>14.498860</td>\n",
+ " <td>5.339659</td>\n",
+ " <td>90.0</td>\n",
+ " <td>Niederhasli</td>\n",
+ " <td>1</td>\n",
+ " <td>1032.262451</td>\n",
+ " <td>2058.076904</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>202621</td>\n",
+ " <td>21</td>\n",
+ " <td>143.0</td>\n",
+ " <td>11.574265</td>\n",
+ " <td>4.826594</td>\n",
+ " <td>90.0</td>\n",
+ " <td>Niederhasli</td>\n",
+ " <td>0</td>\n",
+ " <td>767.814453</td>\n",
+ " <td>1231.446533</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>202622</td>\n",
+ " <td>35</td>\n",
+ " <td>-127.0</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>90.0</td>\n",
+ " <td>Niederhasli</td>\n",
+ " <td>0</td>\n",
+ " <td>764.794067</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID NEIGUNG AUSRICHTUNG available_area available_area_std \\\n",
+ "0 202618 30 103.0 15.059260 6.921315 \n",
+ "1 202619 8 13.0 0.513204 0.858346 \n",
+ "2 202620 11 -33.0 14.498860 5.339659 \n",
+ "3 202621 21 143.0 11.574265 4.826594 \n",
+ "4 202622 35 -127.0 0.000000 0.000000 \n",
+ "\n",
+ " BFS_NUMMER NAME suitable Gt_kWh_m2 EPV_kWh \n",
+ "0 90.0 Niederhasli 0 895.026367 1863.524414 \n",
+ "1 90.0 Niederhasli 0 1014.987061 71.615372 \n",
+ "2 90.0 Niederhasli 1 1032.262451 2058.076904 \n",
+ "3 90.0 Niederhasli 0 767.814453 1231.446533 \n",
+ "4 90.0 Niederhasli 0 764.794067 0.000000 "
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roof_info.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Save rooftop data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saved annual PV data in 1.55s\n"
+ ]
+ }
+ ],
+ "source": [
+ "tt = time.time()\n",
+ "roof_info.drop(columns = ['NEIGUNG', 'AUSRICHTUNG', 'NAME']).to_csv( os.path.join(OUTPATH, DF_OUT), index = False )\n",
+ "print('Saved annual PV data in %.2fs' %(time.time()-tt))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Group suitable potential by communes"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "time_xr = pv_potential.time.isel( DF_UID = 0 ).drop('DF_UID')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "roof_sel = roof_info.loc[roof_info.DF_UID.isin(pv_potential.DF_UID.values), ['DF_UID', 'suitable', 'BFS_NUMMER']]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 200000)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 202618 202619 202620 ... 719286 719287 719288\n",
+ "Data variables:\n",
+ " suitable (DF_UID) int64 0 0 1 0 0 0 0 0 0 0 0 0 ... 1 1 0 0 0 1 1 0 0 0 0\n",
+ " BFS_NUMMER (DF_UID) float64 90.0 90.0 90.0 90.0 ... 66.0 66.0 66.0 66.0</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 200000)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 202618 202619 202620 ... 719286 719287 719288\n",
+ "Data variables:\n",
+ " suitable (DF_UID) int64 0 0 1 0 0 0 0 0 0 0 0 0 ... 1 1 0 0 0 1 1 0 0 0 0\n",
+ " BFS_NUMMER (DF_UID) float64 90.0 90.0 90.0 90.0 ... 66.0 66.0 66.0 66.0"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "roof_xr = roof_sel.set_index('DF_UID').to_xarray()\n",
+ "roof_xr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "hourly_suitable = xr.merge([pv_potential.pv_potential, tilted_irrad.tilted_irradiance]) * roof_xr.suitable"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "hourly_suitable.coords['BFS_NUMMER'] = roof_xr.BFS_NUMMER.astype('int')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 200000, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * DF_UID (DF_UID) int64 202618 202619 202620 ... 719287 719288\n",
+ " BFS_NUMMER (DF_UID) int64 90 90 90 90 90 90 90 ... 66 66 66 66 66 66\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp, day) float64 dask.array&lt;chunksize=(100000, 154, 31), meta=np.ndarray&gt;\n",
+ " tilted_irradiance (DF_UID, timestamp, day) float64 dask.array&lt;chunksize=(100000, 154, 31), meta=np.ndarray&gt;</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 200000, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * DF_UID (DF_UID) int64 202618 202619 202620 ... 719287 719288\n",
+ " BFS_NUMMER (DF_UID) int64 90 90 90 90 90 90 90 ... 66 66 66 66 66 66\n",
+ "Data variables:\n",
+ " pv_potential (DF_UID, timestamp, day) float64 dask.array<chunksize=(100000, 154, 31), meta=np.ndarray>\n",
+ " tilted_irradiance (DF_UID, timestamp, day) float64 dask.array<chunksize=(100000, 154, 31), meta=np.ndarray>"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "hourly_suitable"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.DataArray &#x27;pv_potential&#x27; (BFS_NUMMER: 91, timestamp: 154, day: 31)&gt;\n",
+ "dask.array&lt;truediv, shape=(91, 154, 31), dtype=float32, chunksize=(1, 154, 31), chunktype=numpy.ndarray&gt;\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 3 13 14 24 51 53 ... 4276 4280 4283 4306 9051</pre>"
+ ],
+ "text/plain": [
+ "<xarray.DataArray 'pv_potential' (BFS_NUMMER: 91, timestamp: 154, day: 31)>\n",
+ "dask.array<truediv, shape=(91, 154, 31), dtype=float32, chunksize=(1, 154, 31), chunktype=numpy.ndarray>\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 3 13 14 24 51 53 ... 4276 4280 4283 4306 9051"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pv_communes_hourly = hourly_suitable.pv_potential.groupby('BFS_NUMMER').sum().astype('float32') / 1000\n",
+ "pv_communes_hourly"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.DataArray &#x27;tilted_irradiance&#x27; (BFS_NUMMER: 91, timestamp: 154, day: 31)&gt;\n",
+ "dask.array&lt;astype, shape=(91, 154, 31), dtype=float32, chunksize=(1, 154, 31), chunktype=numpy.ndarray&gt;\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 3 13 14 24 51 53 ... 4276 4280 4283 4306 9051</pre>"
+ ],
+ "text/plain": [
+ "<xarray.DataArray 'tilted_irradiance' (BFS_NUMMER: 91, timestamp: 154, day: 31)>\n",
+ "dask.array<astype, shape=(91, 154, 31), dtype=float32, chunksize=(1, 154, 31), chunktype=numpy.ndarray>\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 3 13 14 24 51 53 ... 4276 4280 4283 4306 9051"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gt_communes_hourly = ( hourly_suitable.tilted_irradiance.where( hourly_suitable.tilted_irradiance > 0 )\n",
+ " .groupby('BFS_NUMMER').mean().astype('float32') )\n",
+ "gt_communes_hourly"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "communes_output = xr.merge([pv_communes_hourly, gt_communes_hourly, time_xr])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Save intermediate files"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (BFS_NUMMER: 91, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 3 13 14 24 51 ... 4280 4283 4306 9051\n",
+ "Data variables:\n",
+ " pv_potential (BFS_NUMMER, timestamp, day) float32 dask.array&lt;chunksize=(1, 154, 31), meta=np.ndarray&gt;\n",
+ " tilted_irradiance (BFS_NUMMER, timestamp, day) float32 dask.array&lt;chunksize=(1, 154, 31), meta=np.ndarray&gt;\n",
+ " time (day, timestamp) datetime64[ns] dask.array&lt;chunksize=(31, 154), meta=np.ndarray&gt;</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (BFS_NUMMER: 91, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 3 13 14 24 51 ... 4280 4283 4306 9051\n",
+ "Data variables:\n",
+ " pv_potential (BFS_NUMMER, timestamp, day) float32 dask.array<chunksize=(1, 154, 31), meta=np.ndarray>\n",
+ " tilted_irradiance (BFS_NUMMER, timestamp, day) float32 dask.array<chunksize=(1, 154, 31), meta=np.ndarray>\n",
+ " time (day, timestamp) datetime64[ns] dask.array<chunksize=(31, 154), meta=np.ndarray>"
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "communes_output"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/dask/core.py:121: RuntimeWarning: invalid value encountered in greater\n",
+ " return func(*(_execute_task(a, cache) for a in args))\n",
+ "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+ " x = np.divide(x1, x2, out)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Computed hourly commune potential and saved output in 115.82s\n"
+ ]
+ }
+ ],
+ "source": [
+ "tt = time.time()\n",
+ "communes_output.to_netcdf(os.path.join(OUTPATH, HR_OUT))\n",
+ "print('Computed hourly commune potential and saved output in %.2fs' %(time.time()-tt))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Create output csv files"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "communes_xr = xr.open_dataset(os.path.join(OUTPATH, HR_OUT))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "comm_map_name = comm_map.groupby('BFS_NUMMER').first().NAME"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>day</th>\n",
+ " <th>timestamp</th>\n",
+ " <th>pv_potential</th>\n",
+ " <th>tilted_irradiance</th>\n",
+ " <th>time</th>\n",
+ " <th>NAME</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>3</td>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 08:00:00</td>\n",
+ " <td>40.496040</td>\n",
+ " <td>19.435429</td>\n",
+ " <td>2010-01-01 08:00:00</td>\n",
+ " <td>Bonstetten</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>3</td>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 09:00:00</td>\n",
+ " <td>99.906021</td>\n",
+ " <td>45.708111</td>\n",
+ " <td>2010-01-01 09:00:00</td>\n",
+ " <td>Bonstetten</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 10:00:00</td>\n",
+ " <td>109.011742</td>\n",
+ " <td>49.194244</td>\n",
+ " <td>2010-01-01 10:00:00</td>\n",
+ " <td>Bonstetten</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>3</td>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 11:00:00</td>\n",
+ " <td>64.433548</td>\n",
+ " <td>29.005260</td>\n",
+ " <td>2010-01-01 11:00:00</td>\n",
+ " <td>Bonstetten</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>3</td>\n",
+ " <td>1</td>\n",
+ " <td>2001-01-15 12:00:00</td>\n",
+ " <td>33.779591</td>\n",
+ " <td>15.243026</td>\n",
+ " <td>2010-01-01 12:00:00</td>\n",
+ " <td>Bonstetten</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " BFS_NUMMER day timestamp pv_potential tilted_irradiance \\\n",
+ "0 3 1 2001-01-15 08:00:00 40.496040 19.435429 \n",
+ "1 3 1 2001-01-15 09:00:00 99.906021 45.708111 \n",
+ "2 3 1 2001-01-15 10:00:00 109.011742 49.194244 \n",
+ "3 3 1 2001-01-15 11:00:00 64.433548 29.005260 \n",
+ "4 3 1 2001-01-15 12:00:00 33.779591 15.243026 \n",
+ "\n",
+ " time NAME \n",
+ "0 2010-01-01 08:00:00 Bonstetten \n",
+ "1 2010-01-01 09:00:00 Bonstetten \n",
+ "2 2010-01-01 10:00:00 Bonstetten \n",
+ "3 2010-01-01 11:00:00 Bonstetten \n",
+ "4 2010-01-01 12:00:00 Bonstetten "
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "comm_df = communes_xr.to_dataframe().dropna().reset_index()\n",
+ "comm_df['NAME'] = comm_df.BFS_NUMMER.map( comm_map_name )\n",
+ "comm_df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pv_comm_df = comm_df.pivot(values='pv_potential', index='time', columns='BFS_NUMMER')\n",
+ "gt_comm_df = comm_df.pivot(values='tilted_irradiance', index='time', columns='BFS_NUMMER')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pv_comm_df.to_csv( os.path.join(OUTPATH, PV_OUT) )\n",
+ "gt_comm_df.to_csv( os.path.join(OUTPATH, GT_OUT) )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# For Visualisation purposes only"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pv_comm_df = comm_df.pivot(values='pv_potential', index='time', columns='NAME')\n",
+ "gt_comm_df = comm_df.pivot(values='tilted_irradiance', index='time', columns='NAME')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th>NAME</th>\n",
+ " <th>Adliswil</th>\n",
+ " <th>Aesch (ZH)</th>\n",
+ " <th>Bachenbülach</th>\n",
+ " <th>Bachs</th>\n",
+ " <th>Birmensdorf (ZH)</th>\n",
+ " <th>Birr</th>\n",
+ " <th>Birrhard</th>\n",
+ " <th>Bonstetten</th>\n",
+ " <th>Boppelsen</th>\n",
+ " <th>Bülach</th>\n",
+ " <th>...</th>\n",
+ " <th>Wangen-Brüttisellen</th>\n",
+ " <th>Weiningen (ZH)</th>\n",
+ " <th>Wettswil am Albis</th>\n",
+ " <th>Winkel</th>\n",
+ " <th>Winznau</th>\n",
+ " <th>Würenlos</th>\n",
+ " <th>Zollikon</th>\n",
+ " <th>Zumikon</th>\n",
+ " <th>Zürich</th>\n",
+ " <th>Zürichsee (ZH)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>time</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>2010-01-01 08:00:00</th>\n",
+ " <td>18.539722</td>\n",
+ " <td>83.321487</td>\n",
+ " <td>278.830597</td>\n",
+ " <td>118.454170</td>\n",
+ " <td>342.019196</td>\n",
+ " <td>100.791977</td>\n",
+ " <td>32.648972</td>\n",
+ " <td>40.496040</td>\n",
+ " <td>36.471127</td>\n",
+ " <td>838.890442</td>\n",
+ " <td>...</td>\n",
+ " <td>94.864204</td>\n",
+ " <td>259.549042</td>\n",
+ " <td>208.165497</td>\n",
+ " <td>205.568985</td>\n",
+ " <td>2.202373</td>\n",
+ " <td>6.335207</td>\n",
+ " <td>431.615479</td>\n",
+ " <td>335.738556</td>\n",
+ " <td>0.223129</td>\n",
+ " <td>0.709349</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2010-01-01 09:00:00</th>\n",
+ " <td>52.732441</td>\n",
+ " <td>218.298676</td>\n",
+ " <td>591.661438</td>\n",
+ " <td>174.455338</td>\n",
+ " <td>862.102295</td>\n",
+ " <td>131.303345</td>\n",
+ " <td>38.248146</td>\n",
+ " <td>99.906021</td>\n",
+ " <td>39.398998</td>\n",
+ " <td>1759.433228</td>\n",
+ " <td>...</td>\n",
+ " <td>218.948914</td>\n",
+ " <td>474.187805</td>\n",
+ " <td>537.711487</td>\n",
+ " <td>482.781128</td>\n",
+ " <td>4.995502</td>\n",
+ " <td>9.786074</td>\n",
+ " <td>844.081848</td>\n",
+ " <td>515.012512</td>\n",
+ " <td>0.631222</td>\n",
+ " <td>1.853546</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2010-01-01 10:00:00</th>\n",
+ " <td>61.248169</td>\n",
+ " <td>213.428848</td>\n",
+ " <td>532.846985</td>\n",
+ " <td>128.570557</td>\n",
+ " <td>800.000610</td>\n",
+ " <td>102.842377</td>\n",
+ " <td>26.808277</td>\n",
+ " <td>109.011742</td>\n",
+ " <td>25.200472</td>\n",
+ " <td>1693.768066</td>\n",
+ " <td>...</td>\n",
+ " <td>246.454987</td>\n",
+ " <td>353.186005</td>\n",
+ " <td>592.518250</td>\n",
+ " <td>453.649170</td>\n",
+ " <td>6.572721</td>\n",
+ " <td>6.433042</td>\n",
+ " <td>908.273438</td>\n",
+ " <td>494.231598</td>\n",
+ " <td>0.771367</td>\n",
+ " <td>2.158176</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2010-01-01 11:00:00</th>\n",
+ " <td>43.553368</td>\n",
+ " <td>108.570541</td>\n",
+ " <td>341.633331</td>\n",
+ " <td>126.478584</td>\n",
+ " <td>383.310211</td>\n",
+ " <td>134.517929</td>\n",
+ " <td>30.783621</td>\n",
+ " <td>64.433548</td>\n",
+ " <td>19.154947</td>\n",
+ " <td>1218.837891</td>\n",
+ " <td>...</td>\n",
+ " <td>202.320847</td>\n",
+ " <td>183.527786</td>\n",
+ " <td>349.450012</td>\n",
+ " <td>271.562988</td>\n",
+ " <td>6.902686</td>\n",
+ " <td>3.181104</td>\n",
+ " <td>792.472961</td>\n",
+ " <td>457.441742</td>\n",
+ " <td>0.659319</td>\n",
+ " <td>1.703422</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2010-01-01 12:00:00</th>\n",
+ " <td>27.809303</td>\n",
+ " <td>64.388725</td>\n",
+ " <td>217.471954</td>\n",
+ " <td>92.115005</td>\n",
+ " <td>234.382111</td>\n",
+ " <td>119.821266</td>\n",
+ " <td>26.142033</td>\n",
+ " <td>33.779591</td>\n",
+ " <td>11.929262</td>\n",
+ " <td>772.614990</td>\n",
+ " <td>...</td>\n",
+ " <td>139.997299</td>\n",
+ " <td>122.301308</td>\n",
+ " <td>187.235580</td>\n",
+ " <td>174.729446</td>\n",
+ " <td>5.895419</td>\n",
+ " <td>2.112040</td>\n",
+ " <td>584.271484</td>\n",
+ " <td>346.241852</td>\n",
+ " <td>0.465235</td>\n",
+ " <td>1.203103</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5 rows × 88 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ "NAME Adliswil Aesch (ZH) Bachenbülach Bachs \\\n",
+ "time \n",
+ "2010-01-01 08:00:00 18.539722 83.321487 278.830597 118.454170 \n",
+ "2010-01-01 09:00:00 52.732441 218.298676 591.661438 174.455338 \n",
+ "2010-01-01 10:00:00 61.248169 213.428848 532.846985 128.570557 \n",
+ "2010-01-01 11:00:00 43.553368 108.570541 341.633331 126.478584 \n",
+ "2010-01-01 12:00:00 27.809303 64.388725 217.471954 92.115005 \n",
+ "\n",
+ "NAME Birmensdorf (ZH) Birr Birrhard Bonstetten \\\n",
+ "time \n",
+ "2010-01-01 08:00:00 342.019196 100.791977 32.648972 40.496040 \n",
+ "2010-01-01 09:00:00 862.102295 131.303345 38.248146 99.906021 \n",
+ "2010-01-01 10:00:00 800.000610 102.842377 26.808277 109.011742 \n",
+ "2010-01-01 11:00:00 383.310211 134.517929 30.783621 64.433548 \n",
+ "2010-01-01 12:00:00 234.382111 119.821266 26.142033 33.779591 \n",
+ "\n",
+ "NAME Boppelsen Bülach ... Wangen-Brüttisellen \\\n",
+ "time ... \n",
+ "2010-01-01 08:00:00 36.471127 838.890442 ... 94.864204 \n",
+ "2010-01-01 09:00:00 39.398998 1759.433228 ... 218.948914 \n",
+ "2010-01-01 10:00:00 25.200472 1693.768066 ... 246.454987 \n",
+ "2010-01-01 11:00:00 19.154947 1218.837891 ... 202.320847 \n",
+ "2010-01-01 12:00:00 11.929262 772.614990 ... 139.997299 \n",
+ "\n",
+ "NAME Weiningen (ZH) Wettswil am Albis Winkel Winznau \\\n",
+ "time \n",
+ "2010-01-01 08:00:00 259.549042 208.165497 205.568985 2.202373 \n",
+ "2010-01-01 09:00:00 474.187805 537.711487 482.781128 4.995502 \n",
+ "2010-01-01 10:00:00 353.186005 592.518250 453.649170 6.572721 \n",
+ "2010-01-01 11:00:00 183.527786 349.450012 271.562988 6.902686 \n",
+ "2010-01-01 12:00:00 122.301308 187.235580 174.729446 5.895419 \n",
+ "\n",
+ "NAME Würenlos Zollikon Zumikon Zürich \\\n",
+ "time \n",
+ "2010-01-01 08:00:00 6.335207 431.615479 335.738556 0.223129 \n",
+ "2010-01-01 09:00:00 9.786074 844.081848 515.012512 0.631222 \n",
+ "2010-01-01 10:00:00 6.433042 908.273438 494.231598 0.771367 \n",
+ "2010-01-01 11:00:00 3.181104 792.472961 457.441742 0.659319 \n",
+ "2010-01-01 12:00:00 2.112040 584.271484 346.241852 0.465235 \n",
+ "\n",
+ "NAME Zürichsee (ZH) \n",
+ "time \n",
+ "2010-01-01 08:00:00 0.709349 \n",
+ "2010-01-01 09:00:00 1.853546 \n",
+ "2010-01-01 10:00:00 2.158176 \n",
+ "2010-01-01 11:00:00 1.703422 \n",
+ "2010-01-01 12:00:00 1.203103 \n",
+ "\n",
+ "[5 rows x 88 columns]"
+ ]
+ },
+ "execution_count": 36,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pv_comm_df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dates = pd.DataFrame(data = [], index = pd.date_range(start='2010-01-01 00:00', end='2010-12-31 23:00', freq='1H'))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pv_comm_long = dates.merge(pv_comm_df, left_index = True, right_index = True, how = 'left').fillna(0)\n",
+ "gt_comm_long = dates.merge(gt_comm_df, left_index = True, right_index = True, how = 'left').fillna(0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "TEST_COMMS = ['Winkel', 'Dübendorf']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "metadata": {},
+ "outputs": [
+ {
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+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x338a93cd0>"
+ ]
+ },
+ "execution_count": 47,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pv_comm_long[TEST_COMMS].plot()\n",
+ "gt_comm_long[TEST_COMMS].plot()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "comm_sum = roof_info.groupby('NAME').sum()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUNG</th>\n",
+ " <th>available_area</th>\n",
+ " <th>available_area_std</th>\n",
+ " <th>BFS_NUMMER</th>\n",
+ " <th>suitable</th>\n",
+ " <th>Gt_kWh_m2</th>\n",
+ " <th>EPV_kWh</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>NAME</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>Winkel</th>\n",
+ " <td>729785305</td>\n",
+ " <td>81153</td>\n",
+ " <td>-21852.0</td>\n",
+ " <td>117357.101532</td>\n",
+ " <td>32505.854353</td>\n",
+ " <td>234432.0</td>\n",
+ " <td>1202</td>\n",
+ " <td>2853126.75</td>\n",
+ " <td>14870346.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Dübendorf</th>\n",
+ " <td>7726924998</td>\n",
+ " <td>235852</td>\n",
+ " <td>-17363.0</td>\n",
+ " <td>366681.111755</td>\n",
+ " <td>101011.769529</td>\n",
+ " <td>2158491.0</td>\n",
+ " <td>3813</td>\n",
+ " <td>9734286.00</td>\n",
+ " <td>48589476.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID NEIGUNG AUSRICHTUNG available_area \\\n",
+ "NAME \n",
+ "Winkel 729785305 81153 -21852.0 117357.101532 \n",
+ "Dübendorf 7726924998 235852 -17363.0 366681.111755 \n",
+ "\n",
+ " available_area_std BFS_NUMMER suitable Gt_kWh_m2 EPV_kWh \n",
+ "NAME \n",
+ "Winkel 32505.854353 234432.0 1202 2853126.75 14870346.0 \n",
+ "Dübendorf 101011.769529 2158491.0 3813 9734286.00 48589476.0 "
+ ]
+ },
+ "execution_count": 49,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "comm_sum.loc[TEST_COMMS]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load multiple commune files"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (BFS_NUMMER: 48, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 ... 24 25 26 27 28 29 30 31\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 24 51 53 56 ... 4276 4280 4283 4306\n",
+ "Data variables:\n",
+ " pv_potential (BFS_NUMMER, timestamp, day) float32 ...\n",
+ " tilted_irradiance (BFS_NUMMER, timestamp, day) float32 ...\n",
+ " gt_weighted_by_APV (BFS_NUMMER, timestamp, day) float32 ...\n",
+ " APV_weight_sum (BFS_NUMMER) float64 ...\n",
+ " time (day, timestamp) datetime64[ns] ...\n",
+ "<xarray.Dataset>\n",
+ "Dimensions: (BFS_NUMMER: 43, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 ... 24 25 26 27 28 29 30 31\n",
+ " * BFS_NUMMER (BFS_NUMMER) int64 3 13 14 54 66 ... 4092 4093 4199 9051\n",
+ "Data variables:\n",
+ " pv_potential (BFS_NUMMER, timestamp, day) float32 ...\n",
+ " tilted_irradiance (BFS_NUMMER, timestamp, day) float32 ...\n",
+ " gt_weighted_by_APV (BFS_NUMMER, timestamp, day) float32 ...\n",
+ " APV_weight_sum (BFS_NUMMER) float64 ...\n",
+ " time (day, timestamp) datetime64[ns] ...\n"
+ ]
+ }
+ ],
+ "source": [
+ "init = True\n",
+ "gt_weight = 0\n",
+ "\n",
+ "BFS_IDs = np.sort(comm_map.BFS_NUMMER.unique())\n",
+ "\n",
+ "for BATCH in [2,6]:\n",
+ " new_data = xr.open_dataset('files/commune_hourly_%d.nc' %BATCH)\n",
+ " print(new_data)\n",
+ " \n",
+ " new_df = new_data.to_dataframe().dropna().reset_index()\n",
+ "\n",
+ " pv_new_df = new_df.pivot(values='pv_potential', index='time', columns='BFS_NUMMER')\n",
+ " gt_new_df = new_df.pivot(values='gt_weighted_by_APV', index='time', columns='BFS_NUMMER')\n",
+ " \n",
+ " if init:\n",
+ " init = False\n",
+ " pv_df = pd.DataFrame(index = pv_new_df.index, columns = BFS_IDs).fillna(0)\n",
+ " \n",
+ " gt_df = pd.DataFrame(index = pv_new_df.index, columns = BFS_IDs).fillna(0)\n",
+ " A_df = pd.Series(np.zeros(len(BFS_IDs)), index = BFS_IDs)\n",
+ " \n",
+ " pv_df[pv_new_df.columns] += pv_new_df\n",
+ " gt_df[gt_new_df.columns] += gt_new_df\n",
+ " A_df[new_data.BFS_NUMMER.values] += new_data.APV_weight_sum.to_pandas()\n",
+ " \n",
+ "gt_df.loc[:,A_df > 0] /= A_df[A_df > 0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pv_df.to_csv('files/commune_hourly_pv.csv')\n",
+ "gt_df.to_csv('files/commune_hourly_gt.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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+ },
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+ "output_type": "display_data"
+ },
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width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x32bfa4c10>"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pv_df[[13,54]].plot()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Check annual potential"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "annual_data = pd.read_csv('/Users/alinawalch/Documents/EPFL/Code/solarPOT/Potential_hourly/files/2010_annual_roofs.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
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+ " <th>yearly_kWh_m2</th>\n",
+ " <th>time</th>\n",
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+ " <th>2001-12-15 12:00:00</th>\n",
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+ " <td>NaN</td>\n",
+ " <td>NaT</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2001-12-15 13:00:00</th>\n",
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+ " </tbody>\n",
+ "</table>\n",
+ "<p>187288794 rows × 3 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " tilted_irradiance yearly_kWh_m2 time\n",
+ "DF_UID day timestamp \n",
+ "9850422 1 2001-01-15 07:00:00 NaN NaN NaT\n",
+ " 2001-01-15 08:00:00 NaN NaN NaT\n",
+ " 2001-01-15 09:00:00 NaN NaN NaT\n",
+ " 2001-01-15 10:00:00 NaN NaN NaT\n",
+ " 2001-01-15 11:00:00 NaN NaN NaT\n",
+ "... ... ... ...\n",
+ "9890023 31 2001-12-15 11:00:00 NaN NaN NaT\n",
+ " 2001-12-15 12:00:00 NaN NaN NaT\n",
+ " 2001-12-15 13:00:00 NaN NaN NaT\n",
+ " 2001-12-15 14:00:00 NaN NaN NaT\n",
+ " 2001-12-15 15:00:00 NaN NaN NaT\n",
+ "\n",
+ "[187288794 rows x 3 columns]"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "xr.open_dataset('files/tilted_irrad_96.nc').to_dataframe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "annual_data = annual_data.merge(roofs, on = 'DF_UID', how = 'outer')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
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+ " DF_UID available_area available_area_std BFS_NUMMER suitable \\\n",
+ "0 1 1.437423 1.850753 2823.0 0 \n",
+ "1 2 0.000000 0.000000 2823.0 0 \n",
+ "2 3 29.414390 13.349188 2823.0 1 \n",
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+ "9639229 9890022 180.541870 34.621575 261.0 1 \n",
+ "9639230 9890023 79.647216 18.209465 261.0 1 \n",
+ "\n",
+ " Gt_kWh_m2 EPV_kWh SB_UUID \\\n",
+ "0 1059.38440 209.63174 {DEA19230-2728-42BF-8A28-573F5EB6C214} \n",
+ "1 467.04404 0.00000 {DEA19230-2728-42BF-8A28-573F5EB6C214} \n",
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+ "4 653.53160 946.06090 {99786E44-FF96-4250-A0A2-AF44CB189B28} \n",
+ "... ... ... ... \n",
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+ "9639230 NaN 0.00000 {599CD897-DB4B-4CD9-BE8B-BB506FFEF7EC} \n",
+ "\n",
+ " FLAECHE NEIGUNG XCOORD YCOORD AUSRICHTUNG \n",
+ "0 15.948816 37 621674.951286 254203.972784 10.0 \n",
+ "1 13.730555 44 621675.374179 254206.313551 -170.0 \n",
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+ "4 36.403273 35 621692.928934 254250.448974 100.0 \n",
+ "... ... ... ... ... ... \n",
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+ "9639229 264.665365 7 681252.144233 241972.021141 -174.0 \n",
+ "9639230 138.787180 9 681272.758490 241968.440592 -174.0 \n",
+ "\n",
+ "[9639231 rows x 13 columns]"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "annual_data"
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+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9639226</th>\n",
+ " <td>9890019</td>\n",
+ " <td>187.344246</td>\n",
+ " <td>39.007019</td>\n",
+ " <td>261.0</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.0</td>\n",
+ " <td>{4C7D58C3-AC1E-47BB-AA2E-3E9F8808CFD2}</td>\n",
+ " <td>307.089850</td>\n",
+ " <td>33</td>\n",
+ " <td>680654.154856</td>\n",
+ " <td>241918.883711</td>\n",
+ " <td>168.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9639227</th>\n",
+ " <td>9890020</td>\n",
+ " <td>7.954101</td>\n",
+ " <td>4.881341</td>\n",
+ " <td>261.0</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.0</td>\n",
+ " <td>{797BD41D-F7C0-47C4-85A7-8A1D77870B53}</td>\n",
+ " <td>25.457102</td>\n",
+ " <td>4</td>\n",
+ " <td>680639.156908</td>\n",
+ " <td>241978.555776</td>\n",
+ " <td>77.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9639228</th>\n",
+ " <td>9890021</td>\n",
+ " <td>1.637191</td>\n",
+ " <td>1.475983</td>\n",
+ " <td>261.0</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.0</td>\n",
+ " <td>{599CD897-DB4B-4CD9-BE8B-BB506FFEF7EC}</td>\n",
+ " <td>20.216029</td>\n",
+ " <td>7</td>\n",
+ " <td>681267.596269</td>\n",
+ " <td>241974.071131</td>\n",
+ " <td>-174.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9639229</th>\n",
+ " <td>9890022</td>\n",
+ " <td>180.541870</td>\n",
+ " <td>34.621575</td>\n",
+ " <td>261.0</td>\n",
+ " <td>1</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.0</td>\n",
+ " <td>{599CD897-DB4B-4CD9-BE8B-BB506FFEF7EC}</td>\n",
+ " <td>264.665365</td>\n",
+ " <td>7</td>\n",
+ " <td>681252.144233</td>\n",
+ " <td>241972.021141</td>\n",
+ " <td>-174.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9639230</th>\n",
+ " <td>9890023</td>\n",
+ " <td>79.647216</td>\n",
+ " <td>18.209465</td>\n",
+ " <td>261.0</td>\n",
+ " <td>1</td>\n",
+ " <td>NaN</td>\n",
+ " <td>0.0</td>\n",
+ " <td>{599CD897-DB4B-4CD9-BE8B-BB506FFEF7EC}</td>\n",
+ " <td>138.787180</td>\n",
+ " <td>9</td>\n",
+ " <td>681272.758490</td>\n",
+ " <td>241968.440592</td>\n",
+ " <td>-174.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>39231 rows × 13 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID available_area available_area_std BFS_NUMMER suitable \\\n",
+ "9600000 9850422 8.928938 5.795413 261.0 0 \n",
+ "9600001 9850423 27.393089 14.046737 261.0 1 \n",
+ "9600002 9850424 0.000000 0.000000 261.0 0 \n",
+ "9600003 9850425 0.000000 0.000000 261.0 0 \n",
+ "9600004 9850426 0.393810 0.499341 261.0 0 \n",
+ "... ... ... ... ... ... \n",
+ "9639226 9890019 187.344246 39.007019 261.0 0 \n",
+ "9639227 9890020 7.954101 4.881341 261.0 0 \n",
+ "9639228 9890021 1.637191 1.475983 261.0 0 \n",
+ "9639229 9890022 180.541870 34.621575 261.0 1 \n",
+ "9639230 9890023 79.647216 18.209465 261.0 1 \n",
+ "\n",
+ " Gt_kWh_m2 EPV_kWh SB_UUID \\\n",
+ "9600000 NaN 0.0 {DB813723-0B77-4107-802B-E53416E0BB10} \n",
+ "9600001 NaN 0.0 {00EE75DF-3760-478D-BE30-B51CE275F175} \n",
+ "9600002 NaN 0.0 {00EE75DF-3760-478D-BE30-B51CE275F175} \n",
+ "9600003 NaN 0.0 {00EE75DF-3760-478D-BE30-B51CE275F175} \n",
+ "9600004 NaN 0.0 {00EE75DF-3760-478D-BE30-B51CE275F175} \n",
+ "... ... ... ... \n",
+ "9639226 NaN 0.0 {4C7D58C3-AC1E-47BB-AA2E-3E9F8808CFD2} \n",
+ "9639227 NaN 0.0 {797BD41D-F7C0-47C4-85A7-8A1D77870B53} \n",
+ "9639228 NaN 0.0 {599CD897-DB4B-4CD9-BE8B-BB506FFEF7EC} \n",
+ "9639229 NaN 0.0 {599CD897-DB4B-4CD9-BE8B-BB506FFEF7EC} \n",
+ "9639230 NaN 0.0 {599CD897-DB4B-4CD9-BE8B-BB506FFEF7EC} \n",
+ "\n",
+ " FLAECHE NEIGUNG XCOORD YCOORD AUSRICHTUNG \n",
+ "9600000 27.996119 25 685962.572288 251005.284852 -177.0 \n",
+ "9600001 97.446059 46 685838.720716 251178.178233 -56.0 \n",
+ "9600002 10.487191 0 685843.879266 251181.498265 0.0 \n",
+ "9600003 11.525703 1 685836.786324 251171.477426 178.0 \n",
+ "9600004 65.621304 0 685834.936391 251180.411374 0.0 \n",
+ "... ... ... ... ... ... \n",
+ "9639226 307.089850 33 680654.154856 241918.883711 168.0 \n",
+ "9639227 25.457102 4 680639.156908 241978.555776 77.0 \n",
+ "9639228 20.216029 7 681267.596269 241974.071131 -174.0 \n",
+ "9639229 264.665365 7 681252.144233 241972.021141 -174.0 \n",
+ "9639230 138.787180 9 681272.758490 241968.440592 -174.0 \n",
+ "\n",
+ "[39231 rows x 13 columns]"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "annual_data[ annual_data.Gt_kWh_m2.isna() ]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "(469606.1622436188, 847713.0647727081, 64980.146521273025, 303314.62529227743)"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plt.figure()\n",
+ "CH = annual_data.dropna().sample(10000)\n",
+ "missing = annual_data[ annual_data.Gt_kWh_m2.isna() ].sample(2000)\n",
+ "\n",
+ "plt.scatter(CH.XCOORD, CH.YCOORD, s = 1)\n",
+ "plt.scatter(missing.XCOORD, missing.YCOORD, c='r', s = 1)\n",
+ "plt.axis('equal')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Potential_hourly/Physical_potential.ipynb b/Potential_hourly/Physical_potential.ipynb
deleted file mode 100644
index 7084f6b..0000000
--- a/Potential_hourly/Physical_potential.ipynb
+++ /dev/null
@@ -1,3997 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import xarray as xr\n",
- "import os\n",
- "# import util\n",
- "import pvlib.solarposition as solar_pos\n",
- "from pvlib.irradiance import get_total_irradiance, get_extra_radiation, get_ground_diffuse\n",
- "from pvlib.atmosphere import get_relative_airmass\n",
- "import pyproj\n",
- "import csv\n",
- "import itertools\n",
- "import tqdm\n",
- "\n",
- "%matplotlib notebook\n",
- "import matplotlib.pyplot as plt"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "def cosd(angle_in_degrees):\n",
- " return np.cos(np.radians(angle_in_degrees))\n",
- "\n",
- "def SISDIR_to_DNI( SISDIR , zenith_in_degrees ):\n",
- " normal_incidence = SISDIR/cosd(zenith_in_degrees)\n",
- " return( np.maximum( normal_incidence, 0 ) )"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# INPUT (later argvs)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [],
- "source": [
- "fp = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Meteo_data/Meteoswiss_satellite/raw_data/'\n",
- "YEAR = 2010\n",
- "\n",
- "# global horizontal irradiance \n",
- "Gh_file = lambda month,day : os.path.join(fp, 'global/msg.SIS.H_ch02.lonlat_%d%02d%02d000000.nc' %(YEAR,month,day))\n",
- "\n",
- "# direct beam irradiance\n",
- "Gb_file = lambda month,day : os.path.join(fp, 'direct/msg.SISDIR.H_ch02.lonlat_%d%02d%02d000000.nc' %(YEAR,month,day))\n",
- "\n",
- "# Surface albedo\n",
- "ALB_file = lambda month,day : os.path.join(fp, 'albedo/msg.ALB.H_ch02.lonlat_%d%02d%02d000000.nc' %(YEAR,month,day))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Successfully appended 1.1.2010\n",
- "Successfully appended 2.1.2010\n",
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- "Successfully appended 30.1.2010\n",
- "Successfully appended 31.1.2010\n",
- "Successfully added month 1\n",
- "Successfully appended 1.2.2010\n",
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- "Successfully appended 3.2.2010\n",
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- "Successfully appended 28.2.2010\n",
- "Skipping 29.2.2010\n",
- "Skipping 30.2.2010\n",
- "Skipping 31.2.2010\n",
- "Successfully added month 2\n",
- "Successfully appended 1.3.2010\n",
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- "Successfully appended 3.3.2010\n",
- "Successfully appended 4.3.2010\n",
- "Successfully appended 5.3.2010\n",
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- "Successfully appended 29.3.2010\n",
- "Successfully appended 30.3.2010\n",
- "Successfully appended 31.3.2010\n",
- "Successfully added month 3\n",
- "Successfully appended 1.4.2010\n",
- "Successfully appended 2.4.2010\n",
- "Successfully appended 3.4.2010\n",
- "Successfully appended 4.4.2010\n",
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- "Successfully appended 28.4.2010\n",
- "Successfully appended 29.4.2010\n",
- "Successfully appended 30.4.2010\n",
- "Skipping 31.4.2010\n",
- "Successfully added month 4\n",
- "Successfully appended 1.5.2010\n",
- "Successfully appended 2.5.2010\n",
- "Successfully appended 3.5.2010\n",
- "Successfully appended 4.5.2010\n",
- "Successfully appended 5.5.2010\n",
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- "Successfully appended 29.5.2010\n",
- "Successfully appended 30.5.2010\n",
- "Successfully appended 31.5.2010\n",
- "Successfully added month 5\n",
- "Successfully appended 1.6.2010\n",
- "Successfully appended 2.6.2010\n",
- "Successfully appended 3.6.2010\n",
- "Successfully appended 4.6.2010\n",
- "Successfully appended 5.6.2010\n",
- "Successfully appended 6.6.2010\n",
- "Successfully appended 7.6.2010\n",
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- "Successfully appended 27.6.2010\n",
- "Successfully appended 28.6.2010\n",
- "Successfully appended 29.6.2010\n",
- "Successfully appended 30.6.2010\n",
- "Skipping 31.6.2010\n",
- "Successfully added month 6\n",
- "Successfully appended 1.7.2010\n",
- "Successfully appended 2.7.2010\n",
- "Successfully appended 3.7.2010\n",
- "Successfully appended 4.7.2010\n",
- "Successfully appended 5.7.2010\n",
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- "Successfully appended 7.7.2010\n",
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- "Successfully appended 29.7.2010\n",
- "Successfully appended 30.7.2010\n",
- "Successfully appended 31.7.2010\n",
- "Successfully added month 7\n",
- "Successfully appended 1.8.2010\n",
- "Successfully appended 2.8.2010\n",
- "Successfully appended 3.8.2010\n",
- "Successfully appended 4.8.2010\n",
- "Successfully appended 5.8.2010\n",
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- "Successfully appended 29.8.2010\n",
- "Successfully appended 30.8.2010\n",
- "Successfully appended 31.8.2010\n",
- "Successfully added month 8\n",
- "Successfully appended 1.9.2010\n",
- "Successfully appended 2.9.2010\n",
- "Successfully appended 3.9.2010\n",
- "Successfully appended 4.9.2010\n",
- "Successfully appended 5.9.2010\n",
- "Successfully appended 6.9.2010\n",
- "Successfully appended 7.9.2010\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Successfully appended 8.9.2010\n",
- "Successfully appended 9.9.2010\n",
- "Successfully appended 10.9.2010\n",
- "Successfully appended 11.9.2010\n",
- "Successfully appended 12.9.2010\n",
- "Successfully appended 13.9.2010\n",
- "Successfully appended 14.9.2010\n",
- "Successfully appended 15.9.2010\n",
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- "Successfully appended 27.9.2010\n",
- "Successfully appended 28.9.2010\n",
- "Successfully appended 29.9.2010\n",
- "Successfully appended 30.9.2010\n",
- "Skipping 31.9.2010\n",
- "Successfully added month 9\n",
- "Successfully appended 1.10.2010\n",
- "Successfully appended 2.10.2010\n",
- "Successfully appended 3.10.2010\n",
- "Successfully appended 4.10.2010\n",
- "Successfully appended 5.10.2010\n",
- "Successfully appended 6.10.2010\n",
- "Successfully appended 7.10.2010\n",
- "Successfully appended 8.10.2010\n",
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- "Successfully appended 10.10.2010\n",
- "Successfully appended 11.10.2010\n",
- "Successfully appended 12.10.2010\n",
- "Successfully appended 13.10.2010\n",
- "Successfully appended 14.10.2010\n",
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- "Successfully appended 16.10.2010\n",
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- "Successfully appended 27.10.2010\n",
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- "Successfully appended 29.10.2010\n",
- "Successfully appended 30.10.2010\n",
- "Successfully appended 31.10.2010\n",
- "Successfully added month 10\n",
- "Successfully appended 1.11.2010\n",
- "Successfully appended 2.11.2010\n",
- "Successfully appended 3.11.2010\n",
- "Successfully appended 4.11.2010\n",
- "Successfully appended 5.11.2010\n",
- "Successfully appended 6.11.2010\n",
- "Successfully appended 7.11.2010\n",
- "Successfully appended 8.11.2010\n",
- "Successfully appended 9.11.2010\n",
- "Successfully appended 10.11.2010\n",
- "Successfully appended 11.11.2010\n",
- "Successfully appended 12.11.2010\n",
- "Successfully appended 13.11.2010\n",
- "Successfully appended 14.11.2010\n",
- "Successfully appended 15.11.2010\n",
- "Successfully appended 16.11.2010\n",
- "Successfully appended 17.11.2010\n",
- "Successfully appended 18.11.2010\n",
- "Successfully appended 19.11.2010\n",
- "Successfully appended 20.11.2010\n",
- "Successfully appended 21.11.2010\n",
- "Successfully appended 22.11.2010\n",
- "Successfully appended 23.11.2010\n",
- "Successfully appended 24.11.2010\n",
- "Successfully appended 25.11.2010\n",
- "Successfully appended 26.11.2010\n",
- "Successfully appended 27.11.2010\n",
- "Successfully appended 28.11.2010\n",
- "Successfully appended 29.11.2010\n",
- "Successfully appended 30.11.2010\n",
- "Skipping 31.11.2010\n",
- "Successfully added month 11\n",
- "Successfully appended 1.12.2010\n",
- "Successfully appended 2.12.2010\n",
- "Successfully appended 3.12.2010\n",
- "Successfully appended 4.12.2010\n",
- "Successfully appended 5.12.2010\n",
- "Successfully appended 6.12.2010\n",
- "Successfully appended 7.12.2010\n",
- "Successfully appended 8.12.2010\n",
- "Successfully appended 9.12.2010\n",
- "Successfully appended 10.12.2010\n",
- "Successfully appended 11.12.2010\n",
- "Successfully appended 12.12.2010\n",
- "Successfully appended 13.12.2010\n",
- "Successfully appended 14.12.2010\n",
- "Successfully appended 15.12.2010\n",
- "Successfully appended 16.12.2010\n",
- "Successfully appended 17.12.2010\n",
- "Successfully appended 18.12.2010\n",
- "Successfully appended 19.12.2010\n",
- "Successfully appended 20.12.2010\n",
- "Successfully appended 21.12.2010\n",
- "Successfully appended 22.12.2010\n",
- "Successfully appended 23.12.2010\n",
- "Successfully appended 24.12.2010\n",
- "Successfully appended 25.12.2010\n",
- "Successfully appended 26.12.2010\n",
- "Successfully appended 27.12.2010\n",
- "Skipping 28.12.2010\n",
- "Skipping 29.12.2010\n",
- "Skipping 30.12.2010\n",
- "Skipping 31.12.2010\n",
- "Successfully added month 12\n"
- ]
- }
- ],
- "source": [
- "G_all = []\n",
- "\n",
- "for month in range(1,13):\n",
- " G_month = []\n",
- " \n",
- " for day in range(1,32):\n",
- " try:\n",
- " Gh = xr.open_dataset(Gh_file(month, day))\n",
- " Gb = xr.open_dataset(Gb_file(month, day))\n",
- " ALB = xr.open_dataset(ALB_file(month, day))\n",
- " G = xr.merge([Gh,Gb, ALB]).rename({'time' : 'timestamp'})\n",
- " G['time'] = G.timestamp\n",
- " G.coords['day' ] = day\n",
- "\n",
- " # Change timestamp to the 15th of each month (including the 30-minute time shift for interp)\n",
- " G.coords['timestamp'] = [pd.to_datetime('2010-%d-15 %02d:30' %(month, t.dt.hour)) for t in G.timestamp] \n",
- " G_month.append(G)\n",
- " print('Successfully appended %d.%d.%d' %(day, month, YEAR))\n",
- " \n",
- " except:\n",
- " print('Skipping %d.%d.%d' %(day, month, YEAR))\n",
- " \n",
- " G_all.append( xr.concat(G_month, dim = 'day') )\n",
- " print('Successfully added month %d' %(month))\n",
- "\n",
- "G_all = xr.concat(G_all, dim = 'timestamp')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Interpolate data to represent mean of timestamp"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "timestamps_interp = (G_all.timestamp - pd.Timedelta(0.5, unit = 'h')).values"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [],
- "source": [
- "G_all_interp = G_all.interp(timestamp = timestamps_interp)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Merge with time"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [],
- "source": [
- "time = G_all.time\n",
- "time.coords['timestamp'] = timestamps_interp"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [],
- "source": [
- "G_all_interp_w_time = xr.merge([G_all_interp, time])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<pre>&lt;xarray.Dataset&gt;\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 288)\n",
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- " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15 ... 2010-12-15T23:00:00\n",
- "Data variables:\n",
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- " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247\n",
- " time (day, timestamp) datetime64[ns] 2010-01-01 ... 2010-12-31T23:00:00</pre>"
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- "text/plain": [
- "<xarray.Dataset>\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 288)\n",
- "Coordinates:\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15 ... 2010-12-15T23:00:00\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float64 nan nan nan ... 0.0 0.0 0.0\n",
- " SISDIR (day, timestamp, lat, lon) float64 nan nan nan ... 0.0 0.0 0.0\n",
- " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247\n",
- " time (day, timestamp) datetime64[ns] 2010-01-01 ... 2010-12-31T23:00:00"
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "G_all_interp_w_time"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Drop zeros to reduce file size"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [],
- "source": [
- "G_all_nonzero = G_all_interp_w_time.where(G_all_interp_w_time.SIS > 0, drop = True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<pre>&lt;xarray.Dataset&gt;\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float64 nan nan nan ... 1.428 1.417\n",
- " SISDIR (day, timestamp, lat, lon) float64 nan nan nan ... 0.4434 0.4365\n",
- " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247\n",
- " time (day, timestamp, lat, lon) datetime64[ns] NaT ... 2010-12-31T16:00:00</pre>"
- ],
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- "<xarray.Dataset>\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float64 nan nan nan ... 1.428 1.417\n",
- " SISDIR (day, timestamp, lat, lon) float64 nan nan nan ... 0.4434 0.4365\n",
- " ALB (day, timestamp, lat, lon) float64 nan nan nan ... 0.6463 0.6247\n",
- " time (day, timestamp, lat, lon) datetime64[ns] NaT ... 2010-12-31T16:00:00"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "G_all_nonzero"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "application/javascript": [
- "/* Put everything inside the global mpl namespace */\n",
- "window.mpl = {};\n",
- "\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('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",
- "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
- " this.id = figure_id;\n",
- "\n",
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- "\n",
- " this.supports_binary = (this.ws.binaryType != undefined);\n",
- "\n",
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- " 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",
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- " this.rubberband_context = undefined;\n",
- " this.format_dropdown = undefined;\n",
- "\n",
- " this.image_mode = 'full';\n",
- "\n",
- " this.root = $('<div/>');\n",
- " this._root_extra_style(this.root)\n",
- " this.root.attr('style', 'display: inline-block');\n",
- "\n",
- " $(parent_element).append(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",
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- " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
- " }\n",
- " fig.send_message(\"refresh\", {});\n",
- " }\n",
- "\n",
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- " 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",
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- " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
- " }\n",
- " fig.context.drawImage(fig.imageObj, 0, 0);\n",
- " };\n",
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- " 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 = $(\n",
- " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
- " 'ui-helper-clearfix\"/>');\n",
- " var titletext = $(\n",
- " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
- " 'text-align: center; padding: 3px;\"/>');\n",
- " titlebar.append(titletext)\n",
- " this.root.append(titlebar);\n",
- " this.header = titletext[0];\n",
- "}\n",
- "\n",
- "\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_canvas = function() {\n",
- " var fig = this;\n",
- "\n",
- " var canvas_div = $('<div/>');\n",
- "\n",
- " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
- "\n",
- " function canvas_keyboard_event(event) {\n",
- " return fig.key_event(event, event['data']);\n",
- " }\n",
- "\n",
- " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
- " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
- " this.canvas_div = canvas_div\n",
- " this._canvas_extra_style(canvas_div)\n",
- " this.root.append(canvas_div);\n",
- "\n",
- " var canvas = $('<canvas/>');\n",
- " canvas.addClass('mpl-canvas');\n",
- " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
- "\n",
- " this.canvas = canvas[0];\n",
- " this.context = canvas[0].getContext(\"2d\");\n",
- "\n",
- " var backingStore = this.context.backingStorePixelRatio ||\n",
- "\tthis.context.webkitBackingStorePixelRatio ||\n",
- "\tthis.context.mozBackingStorePixelRatio ||\n",
- "\tthis.context.msBackingStorePixelRatio ||\n",
- "\tthis.context.oBackingStorePixelRatio ||\n",
- "\tthis.context.backingStorePixelRatio || 1;\n",
- "\n",
- " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
- "\n",
- " var rubberband = $('<canvas/>');\n",
- " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
- "\n",
- " var pass_mouse_events = true;\n",
- "\n",
- " canvas_div.resizable({\n",
- " start: function(event, ui) {\n",
- " pass_mouse_events = false;\n",
- " },\n",
- " resize: function(event, ui) {\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " stop: function(event, ui) {\n",
- " pass_mouse_events = true;\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " });\n",
- "\n",
- " function mouse_event_fn(event) {\n",
- " if (pass_mouse_events)\n",
- " return fig.mouse_event(event, event['data']);\n",
- " }\n",
- "\n",
- " rubberband.mousedown('button_press', mouse_event_fn);\n",
- " rubberband.mouseup('button_release', mouse_event_fn);\n",
- " // Throttle sequential mouse events to 1 every 20ms.\n",
- " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
- "\n",
- " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
- " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
- "\n",
- " canvas_div.on(\"wheel\", function (event) {\n",
- " event = event.originalEvent;\n",
- " event['data'] = 'scroll'\n",
- " if (event.deltaY < 0) {\n",
- " event.step = 1;\n",
- " } else {\n",
- " event.step = -1;\n",
- " }\n",
- " mouse_event_fn(event);\n",
- " });\n",
- "\n",
- " canvas_div.append(canvas);\n",
- " canvas_div.append(rubberband);\n",
- "\n",
- " this.rubberband = rubberband;\n",
- " this.rubberband_canvas = rubberband[0];\n",
- " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
- " this.rubberband_context.strokeStyle = \"#000000\";\n",
- "\n",
- " this._resize_canvas = function(width, height) {\n",
- " // Keep the size of the canvas, canvas container, and rubber band\n",
- " // canvas in synch.\n",
- " canvas_div.css('width', width)\n",
- " canvas_div.css('height', height)\n",
- "\n",
- " canvas.attr('width', width * mpl.ratio);\n",
- " canvas.attr('height', height * mpl.ratio);\n",
- " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
- "\n",
- " rubberband.attr('width', width);\n",
- " rubberband.attr('height', height);\n",
- " }\n",
- "\n",
- " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
- " // upon first draw.\n",
- " this._resize_canvas(600, 600);\n",
- "\n",
- " // Disable right mouse context menu.\n",
- " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\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",
- " // put a spacer in here.\n",
- " continue;\n",
- " }\n",
- " var button = $('<button/>');\n",
- " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
- " 'ui-button-icon-only');\n",
- " button.attr('role', 'button');\n",
- " button.attr('aria-disabled', 'false');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- "\n",
- " var icon_img = $('<span/>');\n",
- " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
- " icon_img.addClass(image);\n",
- " icon_img.addClass('ui-corner-all');\n",
- "\n",
- " var tooltip_span = $('<span/>');\n",
- " tooltip_span.addClass('ui-button-text');\n",
- " tooltip_span.html(tooltip);\n",
- "\n",
- " button.append(icon_img);\n",
- " button.append(tooltip_span);\n",
- "\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " var fmt_picker_span = $('<span/>');\n",
- "\n",
- " var fmt_picker = $('<select/>');\n",
- " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
- " fmt_picker_span.append(fmt_picker);\n",
- " nav_element.append(fmt_picker_span);\n",
- " this.format_dropdown = fmt_picker[0];\n",
- "\n",
- " for (var ind in mpl.extensions) {\n",
- " var fmt = mpl.extensions[ind];\n",
- " var option = $(\n",
- " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
- " fmt_picker.append(option);\n",
- " }\n",
- "\n",
- " // Add hover states to the ui-buttons\n",
- " $( \".ui-button\" ).hover(\n",
- " function() { $(this).addClass(\"ui-state-hover\");},\n",
- " function() { $(this).removeClass(\"ui-state-hover\");}\n",
- " );\n",
- "\n",
- " var status_bar = $('<span class=\"mpl-message\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\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",
- "\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",
- "\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]);\n",
- " fig.send_message(\"refresh\", {});\n",
- " };\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
- " var x0 = msg['x0'] / mpl.ratio;\n",
- " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
- " var x1 = msg['x1'] / mpl.ratio;\n",
- " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
- " var cursor = msg['cursor'];\n",
- " switch(cursor)\n",
- " {\n",
- " case 0:\n",
- " cursor = 'pointer';\n",
- " break;\n",
- " case 1:\n",
- " cursor = 'default';\n",
- " break;\n",
- " case 2:\n",
- " cursor = 'crosshair';\n",
- " break;\n",
- " case 3:\n",
- " cursor = 'move';\n",
- " break;\n",
- " }\n",
- " fig.rubberband_canvas.style.cursor = 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.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",
- " /* 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",
- " evt.data.type = \"image/png\";\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",
- " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
- " evt.data);\n",
- " fig.updated_canvas_event();\n",
- " fig.waiting = false;\n",
- " return;\n",
- " }\n",
- " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
- " }\n",
- " }\n",
- " };\n",
- "}\n",
- "\n",
- "// from http://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",
- " if (e.target)\n",
- " targ = e.target;\n",
- " else if (e.srcElement)\n",
- " targ = e.srcElement;\n",
- " if (targ.nodeType == 3) // defeat Safari bug\n",
- " targ = targ.parentNode;\n",
- "\n",
- " // jQuery normalizes the pageX and pageY\n",
- " // pageX,Y are the mouse positions relative to the document\n",
- " // offset() returns the position of the element relative to the document\n",
- " var x = e.pageX - $(targ).offset().left;\n",
- " var y = e.pageY - $(targ).offset().top;\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",
- " * http://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",
- " 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",
- " {\n",
- " this.canvas.focus();\n",
- " this.canvas_div.focus();\n",
- " }\n",
- "\n",
- " var x = canvas_pos.x * mpl.ratio;\n",
- " var y = canvas_pos.y * mpl.ratio;\n",
- "\n",
- " this.send_message(name, {x: x, y: y, button: event.button,\n",
- " step: event.step,\n",
- " guiEvent: simpleKeys(event)});\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",
- "\n",
- " // Prevent repeat events\n",
- " if (name == 'key_press')\n",
- " {\n",
- " if (event.which === this._key)\n",
- " return;\n",
- " else\n",
- " this._key = event.which;\n",
- " }\n",
- " if (name == 'key_release')\n",
- " this._key = null;\n",
- "\n",
- " var value = '';\n",
- " if (event.ctrlKey && event.which != 17)\n",
- " value += \"ctrl+\";\n",
- " if (event.altKey && event.which != 18)\n",
- " value += \"alt+\";\n",
- " if (event.shiftKey && event.which != 16)\n",
- " value += \"shift+\";\n",
- "\n",
- " value += 'k';\n",
- " value += event.which.toString();\n",
- "\n",
- " this._key_event_extra(event, name);\n",
- "\n",
- " this.send_message(name, {key: value,\n",
- " 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",
- "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
- "\n",
- "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
- "\n",
- "mpl.default_extension = \"png\";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.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",
- " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
- " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
- " var ws_proxy = comm_websocket_adapter(comm)\n",
- "\n",
- " function ondownload(figure, format) {\n",
- " window.open(figure.imageObj.src);\n",
- " }\n",
- "\n",
- " var fig = new mpl.figure(id, ws_proxy,\n",
- " ondownload,\n",
- " element.get(0));\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.get(0);\n",
- " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
- " if (!fig.cell_info) {\n",
- " console.error(\"Failed to find cell for figure\", id, fig);\n",
- " return;\n",
- " }\n",
- "\n",
- " var output_index = fig.cell_info[2]\n",
- " var cell = fig.cell_info[0];\n",
- "\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
- " var width = fig.canvas.width/mpl.ratio\n",
- " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
- " var dataURL = this.canvas.toDataURL();\n",
- " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_toolbar = function() {\n",
- " var fig = this;\n",
- "\n",
- " var nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\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) { continue; };\n",
- "\n",
- " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " // Add the status bar.\n",
- " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\n",
- "\n",
- " // Add the close button to the window.\n",
- " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
- " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
- " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
- " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
- " buttongrp.append(button);\n",
- " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
- " titlebar.prepend(buttongrp);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(el){\n",
- " var fig = this\n",
- " el.on(\"remove\", function(){\n",
- "\tfig.close_ws(fig, {});\n",
- " });\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(el){\n",
- " // this is important to make the div 'focusable\n",
- " el.attr('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",
- " }\n",
- " else {\n",
- " // location in version 2\n",
- " IPython.keyboard_manager.register_events(el);\n",
- " }\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
- " var manager = IPython.notebook.keyboard_manager;\n",
- " if (!manager)\n",
- " manager = IPython.keyboard_manager;\n",
- "\n",
- " // Check for shift+enter\n",
- " if (event.shiftKey && event.which == 13) {\n",
- " this.canvas_div.blur();\n",
- " event.shiftKey = false;\n",
- " // Send a \"J\" for go to next cell\n",
- " event.which = 74;\n",
- " event.keyCode = 74;\n",
- " manager.command_mode();\n",
- " manager.handle_keydown(event);\n",
- " }\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
- " fig.ondownload(fig, null);\n",
- "}\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('matplotlib', mpl.mpl_figure_comm);\n",
- "}\n"
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width=\"1000\">"
- ],
- "text/plain": [
- "<IPython.core.display.HTML object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/javascript": [
- "/* Put everything inside the global mpl namespace */\n",
- "window.mpl = {};\n",
- "\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('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",
- "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 = $('<div/>');\n",
- " this._root_extra_style(this.root)\n",
- " this.root.attr('style', 'display: inline-block');\n",
- "\n",
- " $(parent_element).append(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 (mpl.ratio != 1) {\n",
- " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
- " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
- " 'ui-helper-clearfix\"/>');\n",
- " var titletext = $(\n",
- " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
- " 'text-align: center; padding: 3px;\"/>');\n",
- " titlebar.append(titletext)\n",
- " this.root.append(titlebar);\n",
- " this.header = titletext[0];\n",
- "}\n",
- "\n",
- "\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_canvas = function() {\n",
- " var fig = this;\n",
- "\n",
- " var canvas_div = $('<div/>');\n",
- "\n",
- " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
- "\n",
- " function canvas_keyboard_event(event) {\n",
- " return fig.key_event(event, event['data']);\n",
- " }\n",
- "\n",
- " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
- " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
- " this.canvas_div = canvas_div\n",
- " this._canvas_extra_style(canvas_div)\n",
- " this.root.append(canvas_div);\n",
- "\n",
- " var canvas = $('<canvas/>');\n",
- " canvas.addClass('mpl-canvas');\n",
- " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
- "\n",
- " this.canvas = canvas[0];\n",
- " this.context = canvas[0].getContext(\"2d\");\n",
- "\n",
- " var backingStore = this.context.backingStorePixelRatio ||\n",
- "\tthis.context.webkitBackingStorePixelRatio ||\n",
- "\tthis.context.mozBackingStorePixelRatio ||\n",
- "\tthis.context.msBackingStorePixelRatio ||\n",
- "\tthis.context.oBackingStorePixelRatio ||\n",
- "\tthis.context.backingStorePixelRatio || 1;\n",
- "\n",
- " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
- "\n",
- " var rubberband = $('<canvas/>');\n",
- " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
- "\n",
- " var pass_mouse_events = true;\n",
- "\n",
- " canvas_div.resizable({\n",
- " start: function(event, ui) {\n",
- " pass_mouse_events = false;\n",
- " },\n",
- " resize: function(event, ui) {\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " stop: function(event, ui) {\n",
- " pass_mouse_events = true;\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " });\n",
- "\n",
- " function mouse_event_fn(event) {\n",
- " if (pass_mouse_events)\n",
- " return fig.mouse_event(event, event['data']);\n",
- " }\n",
- "\n",
- " rubberband.mousedown('button_press', mouse_event_fn);\n",
- " rubberband.mouseup('button_release', mouse_event_fn);\n",
- " // Throttle sequential mouse events to 1 every 20ms.\n",
- " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
- "\n",
- " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
- " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
- "\n",
- " canvas_div.on(\"wheel\", function (event) {\n",
- " event = event.originalEvent;\n",
- " event['data'] = 'scroll'\n",
- " if (event.deltaY < 0) {\n",
- " event.step = 1;\n",
- " } else {\n",
- " event.step = -1;\n",
- " }\n",
- " mouse_event_fn(event);\n",
- " });\n",
- "\n",
- " canvas_div.append(canvas);\n",
- " canvas_div.append(rubberband);\n",
- "\n",
- " this.rubberband = rubberband;\n",
- " this.rubberband_canvas = rubberband[0];\n",
- " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
- " this.rubberband_context.strokeStyle = \"#000000\";\n",
- "\n",
- " this._resize_canvas = function(width, height) {\n",
- " // Keep the size of the canvas, canvas container, and rubber band\n",
- " // canvas in synch.\n",
- " canvas_div.css('width', width)\n",
- " canvas_div.css('height', height)\n",
- "\n",
- " canvas.attr('width', width * mpl.ratio);\n",
- " canvas.attr('height', height * mpl.ratio);\n",
- " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
- "\n",
- " rubberband.attr('width', width);\n",
- " rubberband.attr('height', height);\n",
- " }\n",
- "\n",
- " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
- " // upon first draw.\n",
- " this._resize_canvas(600, 600);\n",
- "\n",
- " // Disable right mouse context menu.\n",
- " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\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",
- " // put a spacer in here.\n",
- " continue;\n",
- " }\n",
- " var button = $('<button/>');\n",
- " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
- " 'ui-button-icon-only');\n",
- " button.attr('role', 'button');\n",
- " button.attr('aria-disabled', 'false');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- "\n",
- " var icon_img = $('<span/>');\n",
- " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
- " icon_img.addClass(image);\n",
- " icon_img.addClass('ui-corner-all');\n",
- "\n",
- " var tooltip_span = $('<span/>');\n",
- " tooltip_span.addClass('ui-button-text');\n",
- " tooltip_span.html(tooltip);\n",
- "\n",
- " button.append(icon_img);\n",
- " button.append(tooltip_span);\n",
- "\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " var fmt_picker_span = $('<span/>');\n",
- "\n",
- " var fmt_picker = $('<select/>');\n",
- " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
- " fmt_picker_span.append(fmt_picker);\n",
- " nav_element.append(fmt_picker_span);\n",
- " this.format_dropdown = fmt_picker[0];\n",
- "\n",
- " for (var ind in mpl.extensions) {\n",
- " var fmt = mpl.extensions[ind];\n",
- " var option = $(\n",
- " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
- " fmt_picker.append(option);\n",
- " }\n",
- "\n",
- " // Add hover states to the ui-buttons\n",
- " $( \".ui-button\" ).hover(\n",
- " function() { $(this).addClass(\"ui-state-hover\");},\n",
- " function() { $(this).removeClass(\"ui-state-hover\");}\n",
- " );\n",
- "\n",
- " var status_bar = $('<span class=\"mpl-message\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\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",
- "\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",
- "\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]);\n",
- " fig.send_message(\"refresh\", {});\n",
- " };\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
- " var x0 = msg['x0'] / mpl.ratio;\n",
- " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
- " var x1 = msg['x1'] / mpl.ratio;\n",
- " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
- " var cursor = msg['cursor'];\n",
- " switch(cursor)\n",
- " {\n",
- " case 0:\n",
- " cursor = 'pointer';\n",
- " break;\n",
- " case 1:\n",
- " cursor = 'default';\n",
- " break;\n",
- " case 2:\n",
- " cursor = 'crosshair';\n",
- " break;\n",
- " case 3:\n",
- " cursor = 'move';\n",
- " break;\n",
- " }\n",
- " fig.rubberband_canvas.style.cursor = 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.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",
- " /* 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",
- " evt.data.type = \"image/png\";\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",
- " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
- " evt.data);\n",
- " fig.updated_canvas_event();\n",
- " fig.waiting = false;\n",
- " return;\n",
- " }\n",
- " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
- " }\n",
- " }\n",
- " };\n",
- "}\n",
- "\n",
- "// from http://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",
- " if (e.target)\n",
- " targ = e.target;\n",
- " else if (e.srcElement)\n",
- " targ = e.srcElement;\n",
- " if (targ.nodeType == 3) // defeat Safari bug\n",
- " targ = targ.parentNode;\n",
- "\n",
- " // jQuery normalizes the pageX and pageY\n",
- " // pageX,Y are the mouse positions relative to the document\n",
- " // offset() returns the position of the element relative to the document\n",
- " var x = e.pageX - $(targ).offset().left;\n",
- " var y = e.pageY - $(targ).offset().top;\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",
- " * http://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",
- " 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",
- " {\n",
- " this.canvas.focus();\n",
- " this.canvas_div.focus();\n",
- " }\n",
- "\n",
- " var x = canvas_pos.x * mpl.ratio;\n",
- " var y = canvas_pos.y * mpl.ratio;\n",
- "\n",
- " this.send_message(name, {x: x, y: y, button: event.button,\n",
- " step: event.step,\n",
- " guiEvent: simpleKeys(event)});\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",
- "\n",
- " // Prevent repeat events\n",
- " if (name == 'key_press')\n",
- " {\n",
- " if (event.which === this._key)\n",
- " return;\n",
- " else\n",
- " this._key = event.which;\n",
- " }\n",
- " if (name == 'key_release')\n",
- " this._key = null;\n",
- "\n",
- " var value = '';\n",
- " if (event.ctrlKey && event.which != 17)\n",
- " value += \"ctrl+\";\n",
- " if (event.altKey && event.which != 18)\n",
- " value += \"alt+\";\n",
- " if (event.shiftKey && event.which != 16)\n",
- " value += \"shift+\";\n",
- "\n",
- " value += 'k';\n",
- " value += event.which.toString();\n",
- "\n",
- " this._key_event_extra(event, name);\n",
- "\n",
- " this.send_message(name, {key: value,\n",
- " 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",
- "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
- "\n",
- "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
- "\n",
- "mpl.default_extension = \"png\";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.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",
- " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
- " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
- " var ws_proxy = comm_websocket_adapter(comm)\n",
- "\n",
- " function ondownload(figure, format) {\n",
- " window.open(figure.imageObj.src);\n",
- " }\n",
- "\n",
- " var fig = new mpl.figure(id, ws_proxy,\n",
- " ondownload,\n",
- " element.get(0));\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.get(0);\n",
- " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
- " if (!fig.cell_info) {\n",
- " console.error(\"Failed to find cell for figure\", id, fig);\n",
- " return;\n",
- " }\n",
- "\n",
- " var output_index = fig.cell_info[2]\n",
- " var cell = fig.cell_info[0];\n",
- "\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
- " var width = fig.canvas.width/mpl.ratio\n",
- " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
- " var dataURL = this.canvas.toDataURL();\n",
- " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_toolbar = function() {\n",
- " var fig = this;\n",
- "\n",
- " var nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\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) { continue; };\n",
- "\n",
- " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " // Add the status bar.\n",
- " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\n",
- "\n",
- " // Add the close button to the window.\n",
- " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
- " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
- " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
- " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
- " buttongrp.append(button);\n",
- " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
- " titlebar.prepend(buttongrp);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(el){\n",
- " var fig = this\n",
- " el.on(\"remove\", function(){\n",
- "\tfig.close_ws(fig, {});\n",
- " });\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(el){\n",
- " // this is important to make the div 'focusable\n",
- " el.attr('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",
- " }\n",
- " else {\n",
- " // location in version 2\n",
- " IPython.keyboard_manager.register_events(el);\n",
- " }\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
- " var manager = IPython.notebook.keyboard_manager;\n",
- " if (!manager)\n",
- " manager = IPython.keyboard_manager;\n",
- "\n",
- " // Check for shift+enter\n",
- " if (event.shiftKey && event.which == 13) {\n",
- " this.canvas_div.blur();\n",
- " event.shiftKey = false;\n",
- " // Send a \"J\" for go to next cell\n",
- " event.which = 74;\n",
- " event.keyCode = 74;\n",
- " manager.command_mode();\n",
- " manager.handle_keydown(event);\n",
- " }\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
- " fig.ondownload(fig, null);\n",
- "}\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('matplotlib', mpl.mpl_figure_comm);\n",
- "}\n"
- ],
- "text/plain": [
- "<IPython.core.display.Javascript object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "text/html": [
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gEzRNXS+eqbNilOnTrUbKIMx4O233zY/+tGPim4vMoAABCAAAQhAAAIQgAAECieAgF44O66EAAQgAAEIdBoC8XjchoW888477TmpOm9Wnn4KFaown3rZLosqXMpr5rHHHjMKIynvNnmxKU+Fkh0+fLiRd4y8ZbJ5M0lYmDhxoi33//2//2dfHEYxefQpvaxXr15G3okSNXqCVUpAF0u99A3CAN9///1LeaqVg3X6veUqIz1UbpS+GxYlguunTZtmwxUrFKteUOvMUXmvSjA76aSTlgqPrDpJIJTIIO9P9XudcyovNJ15LE/NfDz1dV6xnknVRfWQ6Cbu6t877LCD9bJN90z0cVHYWIlN8iCUIPndd99Zz1Sd6SvvRr2Y33bbbe1/4XC+Uc7fDcpTuFg972FTKGmdUa2w0boXhdhV2WKgs34ldGoM0JnN2c5hVp7h9g97CIuNhIrXXnvNCpd65jVuSezZeeedl6qPxjm1o9KLg0QL3b/a/Ve/+pXXWzCcga9/KPqC8gv6h7wrFe5a9yXvabHFliYQZez45JNPrFd3YOr/Eogzmb7XueiB6XqdQR7VihFjFSpdz6lMz6Q84LOZ0lx//fU2iTyBw+emR61vejrlF3jdq8/pWctmqq/qLVthhRXsWJWPIaBHp1VMCPdMpVRKQD/xxBPNn/70J1sNjaca54q1cjwvle7/6QwWLFhg5xKN/zJ5f2udm8mUTvOv1sUyzZE/+clPnOSKJBF4kstLXd7q2Uxz+DPPPGOTnHnmmeZ3v/tdsc3F9RCAAAQgAAEIQAACEIBAEQQQ0IuAx6UQgAAEIACBzkBAwsMuu+xi5EWcySSiX3nllVYMCl60ZwoPLvFQL10lVuUyvTC85557rJiWbq2trVaImjFjhv3qxRdftGFpc1k4RG6pxIlcZXaW7yspoKvNJIbK1IY6V7ec1hECusRyvewPNgqk35/C3UvADUTsc845x76wDjzA0tNrQ4hCrCpscjZTefJg08aEbKZzUyUc/OxnP8uYTKH2dc5xpnsIXyjxXIJwYMUI6ApnLe83hcvOZRIeJOgFG3V86dMFdJ0be8IJJ5i//OUvGbOXR3Jwdqw29Wice/XVV73ptdFBdcjGMl1Al/ihM6znzJnjzbO+vt5ceuml5phjjsmFoEd9H2Xs0KaEIFRxFEFYAJVOIa9lei40b0W1YgR0CfvaqCVTH5o0aVLWYsPidfozF7W+6el+/vOfm7vuust+HEXEV33DGxLELT2sfba6IKBHb6muLKBrk9gf//hHe7PatKWNkcVaOZ6XSvf/dAZPP/10ckOoNopqTvB5lIevC4vdv/71r8155523VLaNjY12g16wnsglyutiiezKS6b1stbNGAQgAAEIQAACEIAABCDQcQQQ0DuOPSVDAAIQgAAEiiYgAVRhXsPeavL6W3/99a3n7DvvvGP/k0ms0pmYuQT0sICtsxvXWGMN62mjc1T1UvG9996zZ9kGts4661hRS2JTuilkb3CWrETAm266Kes9S7SX6B6IGfKIlWdsT7FKCejy9A17Kr/yyitmww03LCtm9dWzzjrLliGPzcBzSwJmv379nLKPP/74pTxY8/VAl2ig/qeX2LpW3mQKy6y+GxZhJfrq5Xk4hLTC2cvrXMKJXmDLGzYwvSQPXnD7gGnDiDaWyJM9MD1Dek50nxKClae8ymUq47bbbkt6k4bz1Bmsqrc2o8jkna120v3oeZs3b56REK1nUqGl08W822+/3d6roj/IQ062+uqrm6222sqpusYNMQ9M16jeMm0wUDhueY7L07y5udmew6u8xVcmsUHn82YKO50uoO+1117m4osvtp70ukd55SsvbWgInn/lq1C5u+66q02jaBhqQ40J8laePXu2DWMt70GZmKh9M3kuhwV0hdZVO+pe5FGt7/R/RSnQuKPPA9Pmo6OOOqqsz0dXyTzq2PHLX/7SXHbZZfa2FK0kEIez3Wf4DGBt4tLZ7FGtUAFdUSG0kSXc74MIKJnKDj8bSqM8+vfvH7Wq3nTarBLM1dnOSQ5frGgwisIgk2dxesSGbBXqbgK6xh5FsRAPrX20qUfjuMZLjZvFWFcW0MMirza0qG9lsvAcm+lc9nI9L+Xq/xrLt9xyy+QtZ9o4qiMQtEaWqc9oTZTLwmtlnTWfvmFOx1Bo3pepD2mO1jo6mynKzPbbb2+TaD6KsoEtVz35HgIQgAAEIAABCEAAAhAonAACeuHsuBICEIAABCDQ4QTCL8H1Yu6GG25whDgJTPKok2CnF8sKyyzL9CJRIrde9Olc17DIGr5ZCVkK2yyBTyYv0eD82nA6lSExq7293XriSBjziaXBNY888oj56U9/av+UN13gjVgo6EBALPR633Xpwm4p866UgB72clJ4fPWNXN5WpbzPKGJ4enlRrgkLpHV1dTYLiZ/qq2ERRMcLSMANhGmJ7SeffLLt73ffffdSIrC8x/SiXIKrTAKyRHL153RT2q233tqKwDIJOAoHvd566y2VVELxRRddZOTxHjwbEsF1/mnYJBzLA10m73d55fpCviucrARyiWg+gaSQM9C10UYCps55Vf0ldKebBHw9+/LSlkmEl7joSxvu2xqHxH7MmDHWo1/ifGBio3D5geCqPBVOXZ7qCrt/1VVXLRXxQmOKNkEEm3o0Juo4C5+l9w+J5BJq9TyENwBJJFb0C4Wvl+k7iZvafFCMSeDTZolSmrxK9V+lLOrYoTo98cQTtloKr//73/8+ZxV1VnDwnOXrLVuogK7zoXVOdGCa+3IJrkoTfv6Vh44dKMa0MUQRM2TiNmHChJzZaaOcjlaQaTPKKaeckvOaIEF3E9Az3bg2NhxxxBF2s0yhmxy6qoCuKCKaU4JoQjq7PFuEjigCermel3L1/6gCujZIXX311bYbaW2gdUAu01ykYz5kmsvCG0v1mSL7KC/ZsGHDktGYsuWro0nC86E23GkDKwYBCEAAAhCAAAQgAAEIdAwBBPSO4U6pEIAABCAAgaIJyOs8LOhILA7ORE3PXKEjN9tss6VCU2cS0KNWTJ5IKl9ios5b18taX2hriVsS8WW5wvKGBUN5rku4LMbyCWEdtZz0s7mjXhclXSUEdImD8iyW+CmTaCUxt5IWRQxPr0+Ua8ICqa6XqKZzy30mUSV81rFe4L/99tvWEzrdJIyvueaaSa9yvVwPXoyH00oclUe9TJ5nL7zwQtazweXlF5xxqvoEL/CDPOVFKQ80Cbja5JDrnPFMbViIgJ5PfzjyyCOTwv3jjz+e9KAL55Het5dddlnrOa//p5s8ytXeYe87jSPyzvOJ8/IWDDzfxUjh7n0bQtL7h495UBeJmfJE1GYhmY44kCBSjIXboZh8wtdm8hQtVf7hfPIZOyRKS2yTaYOKPNJzmdIp5LQsqhdokGehArrE6mADggRWzWtRTGmDKBrql9rkUaipr2n8CUzjkDxyc5k2m2nTmUxzZRDtJdd1+r6nCOgBC23E0QajQjbBdFUBXWJ54BW9wgormI8++sgbKShgFEVAL8fzUs7+H1VA13wejO/HHXeckUd6LtNGPG1skykaRDhyij7TfB5ELllrrbWMPNJzmSL1hI9E0oa0XBExcuXJ9xCAAAQgAAEIQAACEIBA4QQQ0Atnx5UQgAAEIACBDiUQ9taLIjZI2At7PxYroOvmw147EpoU9jrd5PUkz1FZtnoq9KrCMsszVeKXQilLmC/GENCXpidPNHk2BhsaJF7qBa3Pq7kY7rmujSKGp+cR5ZqwQCoBSkJUJtNGCIVaDyxXyOiw2C2RL/C6DucfDkMr8XzTTTfNikLe1urjOhpBkQD08jwsEMuLXhEj1D7BefW52Pq+L7eAHvZKzMQxXUCXQCGhIpNp44NC/Qcm8UEiRCZTeHmNGTIJ89rwkG7h/qFIGDovPptXqp6T4Fx3ec1LQNamhkKtKwvo+Y4d8qKUN6VMQpI2K+SysOCk9lM7RrVCBfTw/BTVS1R1Ulp5h8ruu+++pJAWtb7hdDqKILyRRMc/RBF6w6LfMcccY6644orIxXcHAV2RAhQ6e8cddzTjxo2zEUS02Ug8Fe3huuuus5tuAtMYobHKt2knG7iuKKDfeuutdpNEYDoKQ+eMZ7MoAno5npdy9v+oArr6kDZ/yaJGzAhvJtDGrWBDTcBY0TS0TpdpQ1H46JhM7ZC+mUBRntS3MQhAAAIQgAAEIAABCECgYwggoHcMd0qFAAQgAAEIFE1AIWODEOpRzugNi0EqPIqALoFAL/30Ql9enQsXLrQhpwPTy+gghKzELoU9TjcJgBLGA7FBYS4V7jLdwi8b5VkXhK4uGlQXyqDcHugKUx4+VziTt3C5kUURw9PrEOWasECa66zy9Jf2L730Usbzu1WXsHDgO+9U3mcjR4601U4/izwbz3Co63SRWMcY6IxzWRQBJFM5xQroeoYlSKl+ijghoSAIf68y9XcgdmtTQnDeerg+6X1b4nWmIyJ0XXg8kPeovCezWVgAyXQedLh/KDR9rnDqGuvkuam6yh588EF7HntPtHzHDh3d8dlnn1lUN954ow3Ln8t0fIiOW5Dp+k8++STXJcnvCxXQw1Ejll9++eQmjFwFq18o6opMeag/FWrKR/kFpmd+5ZVXzpldeFOcuOkIl6jWHQR0bSrSOdHZTH3q0EMPTUbfUT9Uf8zHupqArnWhIg5pg5YsakjyKEzK8bx0RP9Pv9etttoqeWTHmWeemYwMk42JjvjQdTJFXwrPifpMx5ucddZZ9nu1x7/+9a+ciBXtJhzJKcpGvJyZkgACEIAABCAAAQhAAAIQKJgAAnrB6LgQAhCAAAQg0HEEJOzozHOd4SuL4qWikN0DBw5MCuDZBHR5DsoLRx42wfmZue42W5jesLd8Jg9VhRWXN7QskwCWqw5d/ftyCuhh705xivqSuBxMo4jh6eVGuSYskOYSO/WyW17FgWmDiJ6PTBbegKJzzp955pmlkobDuUpI32233SKhUz6BOPzoo49ab8rAdG6vzpyWScTZaaedrBgikTqf6AyFCujyhlP5OlddIeSjWKZQteG+LW97ed1nM4mBEr5ku+yyi3nooYeyppeAqU0GskzHWYT7h85UD86vzZZxOAyyxBCdW9/TrJCxAw/06L2knB64mWrRHQT0qIQ112lDlUzi5LRp02wEgajWlQR0ret0nIU2OskUFUgirMbcUlhX80CPes94oEclRToIQAACEIAABCAAAQj0LAII6D2rvblbCEAAAhDoJgQkPoXDbsu7e+jQoTnvTtcEwlUmAf2pp56yglVTU1PO/MIJJCwF3jbpF3788cf2HEcJ/6qnXmCHxUud0b7JJpvYyyQMKhSz7wzjvCrUBROXS0DXmd377LNP0gtPZ1ZfddVVHUYoihieXrko14QFUnmHbbnlllnvMSyMyPMr/Hf6heFQsD/+8Y+N/g6bBNljjz22KKbpnqyLFi0y2267rZF3fLqttNJK1qtNYr6e12yhyAsR0LWhQEL9O++8k9c9qV6B53H4wnDflrftlClTsuYbrrM8bRWSOJuFBcGbb755qfDFwXXh/hF1k47O7r7ssstsFh393OTVECVKXOjY0ZPPQNfxBJrzspnGi8DKeQZ0pjoUIqDrnnKdDa2IGsGZ8rm6YKFRA3Llm/79ggULbNh2cZZlipaTKd+uIqArCormhCBqiaIYvPjii3lttsrFtqudgZ7rfoLvOQM9KinSQQACEIAABCAAAQhAoGcRQEDvWe3N3UIAAhCAQDchoJDCCjcbmF4Q9+nTJ+fdKZS6xGuZT0CXJ5zCJc+dO9emkRims2t1lrP+LQ9deb4HL5TPPvvspEemzojW35lMYpzOnZbdf//99uzSwBR+VqFWZaeffnrS6zbnDXWzBOUQ0B977DHrDa0w3LJJkyZZD93wWduVxhhFDE+vU5RrwgKp+pr+zmZhYSR8NIHvmlwC+vnnn29+85vfFIXSJ/yq3XREgwS3QBhJL6R3797mqMQiyfEAACAASURBVKOOsmFndS5wuhUioOu83LvuustmpXOFJbjJS0+RIoYPH27LCULNhvutzhnW3+kWJU34mnzrnK+ArogCQfjdbI2mNlXbyqKEfS+qA3Syi4sZO8JHE0Q9UzgcqUTXq/yoVqgYq2NIJPYHJpFVc1w208aW8HyrPHSkSmDhcShTPunjjZ7hQOCVSDlhwoSct77++usnj1C5+OKLzSmnnJLzmiBBIQJ6+nnSvsJyrQMyPeOZxo3IN5QjoTZTBZue8l1jdAUB/dtvvzXa2KUjcmTaiKiNV1q3ldLK8byofpXu/+lMNH8q0oYsash7bUIMopjoWKKAfZD3PffcY/OSKeJBEBUgW3so+pOidwQWdXNsKduYvCAAAQhAAAIQgAAEIACBFAEEdHoDBCAAAQhAoAsSKJcHusI1K2y07Ec/+pE9s7Fv374ZCZ100klGodtluV6cy5NR4q0sLI5I/NfLXv1fJi83nf1cCpNQrDPcS2nHH3+83WRQDiu1gC4vbImewVmoOltemxc62rs/ihiezjfKNR0poMtLWd7KMp2TrRDypbbJkyfbZ1IhefVfsBkmKEdCoDYOpIvo+YrRylcbdCTySSRXP9p8880z3s57771nFLpd1lUE9I7wQNc58rnOXc+3z+Tj8ZtP3sWOHWHP/b333ju5GSNbHZTu//7v/2ySTEd9ZLq+UAFdm8XCRzfoGBFFS8lmSqONJIEpj3AEiEIEdM23QbQHHZlw+OGH52wubWSZOXOmTRe1PweZ9jQBPbwh6LDDDjPXXnttTr5Bgs4uoOt4Hm0G0lE+siFDhpjnn39+KSE28s3mSFiO50VFVrr/p9+mIiuccMIJ9uMNN9zQvPLKKzmRnXbaaeaiiy6y6bQhVGursL377rtmnXXWsR+pD2njTa7NOU8++aTZfvvt7TWDBw822hiBQQACEIAABCAAAQhAAAIdRwABvePYUzIEIAABCECgYALlOgNdL2ElnMjSvcR9lQ2fD5xLQNd57cstt5w9S1minEI46295nssDXeYLjV0wJGOs12yu0M/55h/FsznfPIP0pRTQ5X223XbbmYULF9rs1bby6JQ3cUdbFDE8vY5RrulIAV3e2hJpZPIgk9hdbpPgJs/0G2+8MVnUJZdcYk4++eSlis5XQJfIq7Dpsp133tmKc9lMZ7crnayrCOhRz0CfOHGi0fn2Mp2lLC//Qi3cDoXmkX5drnG3kHJKMXZcd911SRFYgrRE51y22mqrJUOfX3/99eaQQw7JdUny+0IFdGUwcuRIo/DXMj3HEvKz2Z133mmPxJBpDlNEmGItLPBKPJeIns1UX9U7sHw3nhUioBd7j+nXF9Nm+dZFx1wE45g2dwQb/6Lk05kFdM3vmueDYz60kUNruHHjxkW5tYLSlON5qXT/T7/xp59+2nKUKbqENqnm2mio41WeeeYZe402np533nlLZauNi8pLx8PIJMpLnM9m4U2sOtZIIfgxCEAAAhCAAAQgAAEIQKDjCCCgdxx7SoYABCAAAQgURUAhYwOPoyhikEIWb7PNNskyfSHc5VUXCB25PPHi8bhRSPggLGUUISfssa6XjXrpqJeEOgNdln4GdFGAerCArn4hwVyeabKNN97Y6AVxlDD/xTKPcr3CygZhvn390JdHZxfQdR86czawL7/80j4flTAJbhIsZToDV17qYdMmEglmsv33399IuMpm8qqTd51M/7/wwguzpg+H3u4qAroEUEWoyGbaqCRP/MDTX1EFFF2gUOsKAnqpxg4JuhLEA/v666+znsWs7yVGB/bJJ5+YVVZZJTLqYsRY9QWJ4rIo4nX4efvFL35hz9Qu1rRhQJ7RsigbDsIbdtRHp06dmlcVepqArnEpYJRvuPvOKqBLoFWEmWDTo8Kga57XmqqcVo7npdL9P52PIiAts8wypqmpyX6VS+xWuqFDh5r58+fb9P/4xz+MjilKt/D6VvNoMK9mah+J+GpDWbEbtsrZB8gbAhCAAAQgAAEIQAACPYUAAnpPaWnuEwIQgAAEuh2BsGgVJeSkXvSHBSOfcCnPWZ3BKHv77bdtWM1MJg91eaAHFkVA//DDD83qq69uL5HYKM9VnR0pUxhdiSi+M5y7XeNluKFSeKArnLY8sb/77jtbyrrrrmtfsA8YMKDTYAxv1Pjoo48ihcTv7AK64Kovf/DBB5azNotceumlFWH+yCOPGIXnl0m01HMWNoXFDrxq5el3xx13ZK2XvNg1vsiOO+44o/C2mUxhafUsB6Gku4qA3q9fP6NNDtmeC3kXystQVltba4V0iSbd1Uo9doTnk1zikb4/44wzLNqxY8ea//znP3lhLkZAv/fee82ee+4ZaR7SOeXywJWHqixKpJYoN6LnR/lG9VYNC23HHnusufzyy6MUk0zTkwR0iZtbb7118t51lILOj49qnVFAb2lpsZt5Hn/8cXsbiiyj9VT4PqPeX77pyvG8VLr/++5ZmxECnrk20oQ3sAwaNMjorHKfx3p4Ls21MUaRLLTO0eZU2VtvvWXXbxgEIAABCEAAAhCAAAQg0HEEENA7jj0lQwACEIAABIoikH4Oq8TxIKxsesby8JZnavByXt/7BHSFYdZLWFk2QXz27Nk2RKgEqMCiCOhKq7OUdX6zbKONNkqeNXnUUUeZK6+8sigmXf3iYgV0idHiG4iZEnR1Fqo8qzqTbbrppsmQs1FD4ncFAT3s6a2X6U888URkQUORHHSmcWDycJNI0rdv35xNp+fmmGOOsel8YV/D0SeiHJMQ3hwjL2CNNZnC2R555JFLhZvuKgK6WB1xxBHm6quv9vKVUKqNSYGQq81CEo66q5Vj7Aj3S53L/P7775thw4Y5CNX3JbYHm36ingEezqgYAV3P2qqrrpoMxe4LxxyUJZE/iMigvi5udXV1JekWe+yxh7nvvvtsXpqvNXaHxdugkHC4aR2Hoj4abESLWpGuLqDLYzjK2KgzpPUcK6KBTCKmNgnGYrGoqJZqg6jzVa7Mw8eNRF07BXlKYNWGqKCvaGzWmB1sospVdrHfl+t5qWT/9zHQETc77bST/UrPtDaRalxKN20aW3vttZN9KluUFgnr2mAWHKWT7WiKcBh7rY2DyEzFthfXQwACEIAABCAAAQhAAAKFE0BAL5wdV0IAAhCAAAQ6nIDOKVbYc1lDQ4O54YYbHBFd3ld62aqzx+VFKVFO5hPQr732WisqyeTRpPz23Xffpe5TLxX1mTxtFRI8eDEY9SWwhH55w6cb3jbGhjVXePPAooY3V3qFp5UwHWxqkCCkUN4jRowoqp8+99xzZssttyyoTpkKDouu+vdVV12Vs45dQUCXsCGP5SCkrl7C68xsidu+8PkSgeQ9rpfqEhjDAq36giJAHHTQQWavvfbyekwqxPhTTz1ln/lAfDz//POTnrwBVG2oCMR5jRPyUF9hhRUyMv/+++9t+HkJBTLlr2MiFCUiMB0PoLPWVffwONBVBHS1TXNzs40UIGYa7wLT+dIaozR2ypT23//+d94iZc5O3UkSlGvs0FyjaBOffvqpvVP154ceemipvjdlyhTrSfvOO+/YNIqgIKE91/nD6eiKEdCV10033WQOPvhgm61E6T/96U/2uQ0EbG0+u+KKK8yJJ56Y3IimDTOag0tl2qiy1lprJedo5a2xMTx2SMDVZo7geT/wwANt3fO1ri6ga1PY0Ucfbcem8FEBYQ4aGzW/aB4N7OGHH85baO5MHuga8zUnBMdwaCOAIooEEUby7Qfh9OE5Ntd6rhzPSzn6f77rl/AGT/H429/+ZiNiBKYNGZMmTUqefT548GA7voXnxvQ2OOuss8y5555rP1aEJbVdEPFCn2keUhodnRKY6q3NbhgEIAABCEAAAhCAAAQg0LEEENA7lj+lQwACEIAABIoikO5dpcx+8IMfWI8riQDvvvuuFX5kJ5xwgtEZvhIsZD5xVp5FeoEvr7rAJIDI20bC2+TJk5PnruszhZHVeaKyXC9cg/x0bqfOug0EAH2+zjrrJOtZFJAudLG8LPVf2PQiNQgBrs/FPt27URscgk0O4WsVkvaNN95IfqRoAtlE0vC1O+ywg9F/Psv3BXSUJgh7RCv9BhtsYEOV6gzXwCR8hM9A7goCuuquZ3KbbbZZqj/rvvRMqj3UnhKo9YzJEzLY0DJx4sSkR6HySd9MoRf1EiD17EjslWebPE/D4pCEJG1w8Yn1Ya9/veyfMGGC3VwReGKKtZgHpudZ4n9gKl/tpPIlMKtfaPOMxhmJKTpbXdZVBHSF1pWnsZ453ZvOr1UoXonJurfgLFzdk0LYK5R9d7VyjR3ipTlIfU+bRWTaxLXVVlvZDRra7KPNJsEzoLD68rpcc801s6I+5JBDkvNQkFDzSbB5SGX4PLK1IWy99dbLmHd4Q5oSaROSnluJljoT+bPPPkteW6hwnasP3XjjjUb3F37u1DfFRhsLXn/99eR3mqtffPFF+1020/yaburnGodk6ve+uSLY1JCrzlG+L3WbhUVt9SWxWHbZZe3YqM2C4hSOkKM6nnfeefaZz9eKEdB1LI1vbpVHfLD5UFEZwtFHVD+F8w/CiYfrqw0V2jgQmNZ7wTETue5Lm7TOOeecjMnyEdCVSTmel1L3/3zXLwqjrvFQc5xM86OEbHmRK/KS1i7BxjJt8nnyySfteJbNNL5pvg021imtRHmtebQe1kbHoDx9pzaSoI5BAAIQgAAEIAABCEAAAh1PAAG949uAGkAAAhCAAASKIqCXxLvssktWAVov+yXWSmDLJqCrIhL2tt9++6XEgvQKKky0zlWW92nwQjaqgK68JOaHz1WWd2v4pXBRQLrIxWeffXbWl9mZbiMT5/DL73wRZGs7eTxKwAlMwsvyyy+fbxFOenn4KhpBJksPldtVBHTdj8J/y1NVgl1ra2tOVvJKO/PMM83pp5+eTKvztiVqh4XcbBkpJLDOZU0XYoJrJKwrkoA8x32WHtpd3vTydPzrX/+asVgJ8TfffLPdABNETugqArr6l1hIBJo7d673HrXZQRuEjj/++Jxt2JUTlGvsCJhIfJancHizRzovCVTypJVgncvC4a9zpQ1/nyv8dhCRQKHnJZr7TGKqzhy/9NJL7WaAcpjGDc2RgcDqK0OinaLPRIkw4gsDH6XemRhEuTY9TanbLJ97kkCtNYY89wuxYgT09I1QUcvPNI4Wum5QuZnyDOqUr4BeruellP0/XwFdLOQJLy/zbBtIhg4dauc+nZsexTTHHHbYYeaee+7JmFzjidpXx0RgEIAABCAAAQhAAAIQgEDnIICA3jnagVpAAAIQgAAEiiIgkU4v8yRAyEtc3n56sa5zyhWWVoK4LIoIqXQSliQiPPDAAzbcs16USpiT14zOadRZlfK+Cb/MzUdA1xnoCpUpk2e7vG+yhcAsCk4nvbjQF+GVFtAvv/zypIDoO1+7ULwSZ7QJQ31WL6rlNShvrMC6soAe3IPEE20SkOeZNqbIO12hoAcMGGA92hTFQUKYvNP69+/voJSApmv1vOiIA3ktygtOz6O8TiWIjB8/3oZ433rrrXM2hTbPKAy18pQ3rcYJCeWyTGejP/roo+a6664zr732mvVYDbxVtWlHArs8JcMiUVcS0CXqaUOINhfpPrUZSRsW5NGq6BoK4a0zk7u7lVtAFz/1NW3GkIAUPAvyiNWmLoUz1kaGKGdaK69Si7Hp7SvvZUVVkPimjSwyRV5QuZpP9cyV29Qv5Y2rIx7072BOl9eqjlBR2PuoInLUdOn31JkF9I8//thGK9DmDEU50LioOURjpsZGieZqJz3HWq8Uc049Anr23l6O56VU/b8QAV13qzn27rvvtpvSFPlBx6Bojap5e7fddrNzn44RyNfkwa6jH9Rvte6VaK4NieqnGlsUdQiDAAQgAAEIQAACEIAABDoPAQT0ztMW1AQCEIAABCDQYwiExWN5JmbzRO4xUDrpjeplsc4tlunlb65wpZ30NqgWBJYSXnN5I4MLAhCAAAQgAAEIQAACEIAABCAAAQhAoOcSQEDvuW3PnUMAAhCAAAQ6hIA8cBXuWR5GMoSsDmmGSIWqreRlJc/jzTbbzJ7ViUGgqxIIey4z7nTVVqTeEIAABCAAAQhAAAIQgAAEIAABCECg/AQQ0MvPmBIgAAEIQAACEAgRUFj4iRMn2k9WX31188EHH8CnkxLQudk6BkCmsN86QxuDQFclgIDeVVuOekMAAhCAAAQgAAEIQAACEIAABCAAgcoSQECvLG9KgwAEIAABCPRoAt99953ZYIMN7FnOsmuvvdYcdthhPZpJZ775P/zhD+bkk0/OeD52Z647dYNAOgEEdPoEBCAAAQhAAAIQgAAEIAABCEAAAhCAQBQCCOhRKJEGAhCAAAQgAIGCCVxwwQVGwvk333xjHnvsMft/2WqrrWYmT55samtrC86bCyEAAQhEJYCAHpUU6SAAAQhAAAIQgAAEIAABCEAAAhCAQM8mgIDes9ufu4cABCAAAQiUncDo0aPNlClTliqnd+/e5rnnnjPjx48ve/kUAAEIQEAEENDpBxCAAAQgAAEIQAACEIAABCAAAQhAAAJRCCCgR6FEGghAAAIQgAAECiYQCOhVVVVm6NChVsQ666yzzA9/+MOC8+RCCEAAAvkSQEDPlxjpIQABCEAAAhCAAAQgAAEIQAACEIBAzySAgN4z2527hgAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBNAII6HQJCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAgDEGAZ1uAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEEBApw9AAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEEgTwQKcnQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABBDQ6QMQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBBAE80OkJEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQR0+gAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgQQAPdHpCyQk0Njaa9957z+Y7dOhQU1NTU/IyyBACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkA+B1tZWM3v2bHvJ2LFjTUNDQz6XkzYPAmI9Y8aMPK4oT9Lhw4ejUZQHLblCoFsTQEDv1s3bMTf3xhtvmPXXX79jCqdUCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEAOAq+//roZP348nMpE4KuvvjLLL798mXKPnu2XX35pRo0aFf0CUkIAAhDAA50+UA4CCOjloEqeEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUCoCCOilIunPBwG9vHzJHQIQKC8BPNDLy7dH5v7FF1+YlVZayd67FiEjRozokRy4aQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEOg8BKZPn56Mnvr555+b0aNHd57KdbOahAX0V59Y3oxYtrpidzh9VtxsuP2Xtjw80CuGnYIg0K0IIKB3q+bsHDcTnhiZnDpHm1ALCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAI9nQDvrivXA8Ksp7w12owaWVuxwr/6usWsOO4LBPSKEacgCHQ/Agjo3a9NO/yOWIR0eBNQAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEEgjwLvrynWJMOvP31rRjBpZU7HCv/q61aw0bgoCesWIUxAEuh8BBPQi2vTUU081l1xySTKHZ5991myxxRYZc5wyZYq5+uqrzTPPPGM+/fRTs3DhQtOvXz+z+uqrm+23394cccQRZujQoUXUKHXpt99+ay6//HLz0EMPGYVUb29vt2HVd911V3PccceZIUOGlKQcXyYsQsqGlowhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCECgQAK8uy4QXAGXIaAXAI1LIACBTkMAAb3Apnj33XfNeuutZ1pbW5M5ZBPQ77zzTnPooYeaRYsWZSxRovY999xjfvKTnxRYq8Rlb7zxhtlll12MznPx2ciRI83DDz9s618OYxFSDqrkCQEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAsUQ4N11MfTyuzbM+pM3l6+4B/qq63EGen4tRmoIQCBMAAG9gP7Q1tZmNtxwQytUL7vssmbWrFk2l0wC+iuvvGI222wzE4/HTSwWM/vvv78VuCVkT5061dx6663mkUcesXn06dPHTJ482YwePbqAmhkzbdo0M27cODNz5kxTU1NjTjzxRLPTTjvZvB599FHzxz/+0Yr+w4YNM2+99ZZZbrnlCion20UsQkqOlAwhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCECgSAK8uy4SYB6XI6DnAYukEIBApyOAgF5Ak1x22WXml7/8pQ29vttuu5kLL7zQ5pJJQN95552teC278sorzVFHHeWUetJJJ1lxW3bsscfa8OuF2AEHHGAFeZm82ffYY4+lsrn33nvNnnvuaT878MADzU033VRIMVmvYRFScqRkCAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAkUS4N11kQDzuDzM+qM3R1XcA3219b6ytf3yyy/NqFGj8qg5SSEAAQgYg4CeZy/QYDtmzBizYMECK5g/99xz5pxzzrG5ZBLQBw8ebL7//nt77vg333zjLXHu3Llm4MCB9jt5kL/55pt51sxYr3N5lMvTfbvttjNPPvmkN48JEyaYp556ylRXV1uPdXmjl9JYhJSSJnlBAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBAKQjw7roUFKPlgYAejROpIACBzkkAAT3Pdgm8yRWG/ZZbbjFnn312TgG9b9++ZuHChfbMcYV9z2RDhw61Avuaa65p3nvvvTxrZsz1119vDjvsMHvd3Xffbfbaay9vHvpu0qRJ9rvrrrvOns1eSmMRUkqa5AUBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAKlIMC761JQjJYHAno0TqSCAAQ6JwEE9DzaRSHRJUrLo/x///ufkeAdRUBfd911zb///e+sHujz5s0zAwYMsLXZfffdzf33359HzRJJ99tvP3PbbbfZf0+fPt0MHz7cm4e+0/nrwTVByPe8C8xwAYuQUpEkHwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACECgVAd5dl4pk7nzCrD98c6RZbmRN7otKlGLa163m/633tc2NEO4lgko2EOhhBBDQIzb4nDlzzBprrGFmzJhhPb0POeQQe2UUAf3aa681RxxxhE1/9dVXJ/8dLvqUU04xl156qf1I4dW33XbbiDVLJRs/frwN/S4hXvXNZkoj0V7XvP7663mXle0CFiElxUlmEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUAICvLsuAcSIWSCgRwRFMghAoFMSQECP2CwKjS7hfOONNzYvvviiqaqqsldGEdB1JrlCvt9xxx0mFouZgw46yPz0pz81I0aMMFOnTjW33367efDBB21+v/rVr8zvf//7iLVaOpk8znUO+g9/+EMzefLkrHkoTPz7779vvdTlkZ6PaeLLZspv/fXXt0nY3ZUPWdJCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBAuQggoJeLrJtvmPV/3xhRcQ/0MeMTugcaReXanJIg0J0IIKBHaE0J5ptvvrmprq42b7/9thk7dmzyqigCepBYIeAljiuce7ptueWW5rTTTivI8zzIq0+fPmbRokVmgw02MK+++mrWO1MaeZ7rfPb58+dHoJBKEmweiHIRk1MUSqSBAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBchNAQC834VT+COiVY01JEIBA6QkgoOdg2tzcbNZZZx3zwQcfGIVZv/jii5e6IqqArjPTJZA/9thjprW11Sm1oaHBTJw40VxyySXWM70Qk8Df1tZmNttsM/Ovf/0raxbaEPDCCy/YTQG++mS7GAG9kNbhGghAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEOhIAgjolaOPgF451pQEAQiUngACeg6mgUC+wgormP/+979GXt5hiyKgS6hWyHadS77iiiua8847z2yzzTZm8ODBNuT63/72N/Ob3/zGfP/992bUqFHm6aeftuet52uV8kAnhHu+LUN6CEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQ6GgCCOiVa4Ew68lvDK94CPc1x8+wN0uU3Mq1OSVBoDsRQEDP0pryGl977bWNvNAffvhhK4KnWy4Bvampyayyyipm2rRp9rxxhW/X/9NN55Gvt956prGx0f7/jTfeyLufVeoM9FwVYxGSixDfQwACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQKUJ8O66csQR0CvHmpIgAIHSE0BAz8L08MMPN9ddd51ZeeWVzfnnn+9Ned9995n777/ffnfmmWeaMWPG2H/vvPPO1ltdwvuuu+5qP1MeZ5xxRsYSDz30UHPDDTfY79955x0r3udjEt7feustM2DAAOvtns2UZt68eWb8+PH2LPRSGouQUtIkLwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACECgFAd5dl4JitDzCrP/zxnAzcmR1tAtLkOrrr+NmLTzQS0CSLCDQcwkgoGdp+wMOOMDceuutBfWOzz//3IwePdr8/ve/N6effrrN44knnjATJkzImN8111xjjjzySPv93Xffbfbaa6+8yt5vv/3MbbfdZq+ZPn2619M9+G7kyJE2p3SuGgAAIABJREFUna4p9B4zVY5FSF7NRmIIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoAAHeXVcA8pIiENArx5qSIACB0hNAQM/CtBQC+qWXXmpOOeUUW8ojjzxidtppp4wlXnHFFea4446z38uzfeLEiXm1uLzl5TUvyybA67tJkybZdNdee6057LDD8ionV2IWIbkI8T0EIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhUmgDvritHPMz6nTeGVdwDfZ3xM+3NcgZ65dqckiDQnQggoBfZmrnOQFd495/97Ge2lFNPPdVcdNFFGUtUuiAcvEKxr7vuunnVbsaMGWa55ZYzbW1tZrvttjNPPvmk93p5wT/11FMmFoslz2bPq6AciVmElJImeUEAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEApCPDuuhQUo+WBgB6NE6kgAIHOSQABvch2ySWg6yxyidqLFi0y/fr1My+99JIZO3asU6rCu8s7XeK30k+dOtUK3GHbYostzPPPP28/CkLEp2cUDuN+7733JsX7IJ0+23PPPe2f+++/v7nllluKJOBeziKk5EjJEAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABIokwLvrIgHmcTkCeh6wSAoBCHQ6AgjoRTZJLgFd2Z977rnmrLPOsiX17dvXHHvssWabbbYxgwYNMjNnzjQPP/ywuf76601ra6tNo3PM9913X6dmUQR0hSMZN26cmT17tqmpqTEnnXRSMmz8o48+av7whz/YcoYOHWrefvttM2rUqCIJuJezCCk5UjKEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBIgnw7rpIgHlcHmb91uvLVjyE+7j1Z9naEsI9j0YjKQQgkCSAgF5kZ4gioLe3t5sTTzzR/PnPfzb6dyarra01F1xwgTn55JO9SaII6LrwtddeM7vuuqtRSHefDR8+3Dz00ENmgw02KPLu/ZezCCkLVjKFAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBIgjw7roIeHleioCeJzCSQwACnYoAAnqRzRFFQA+K0LnmN9xwg3nxxRfNlClTbFh3eaSvuuqq5sc//rE5/PDDzWqrrZaxRlEFdGXwzTffWMFeQvkXX3xh81xppZXMLrvsYk444QQzZMiQIu888+UsQsqGlowhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCECgQAK8uy4QXAGXhVm/0QEe6OPxQC+g1bgEAhAICCCg0xdKToBFSMmRkiEEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQgUSYB310UCzONyBPQ8YJEUAhDodAQQ0Dtdk3T9CrEI6fptyB1AAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEOhuBHh3XbkWDbN+7fWhZsTI6ooVPv3ruNlg/dm2PM5Arxh2CoJAtyKAgN6tmrNz3AyLkM7RDtQCAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEUgR4d1253oCAXjnWlAQBCJSeAAJ66Zn2+BxZhPT4LgAACEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAKdjgDvrivXJAjolWNNSRCAQOkJIKCXnmmPz5FFSI/vAgCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEINDpCPDuunJNEmb9skK4j6hgCPfpcbMxIdwr19iUBIFuSAABvRs2akffEouQjm4ByocABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIF0Ary7rlyfQECvHGtKggAESk8AAb30THt8jixCenwXAAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgU5HgHfXlWuSMOsXO8ADfdMyeaDPmzfPPP744+aNN94wb775ppk2bZqZPXu2Wbx4sRk4cKAZM2aM2WGHHczBBx9shgwZkhP4K6+8Yq666irzwgsvmBkzZphBgwaZtdde2xxwwAFm7733znl9kODuu+82N998s/nPf/5jvv/+ezN8+HCz2WabmaOPPtpsuOGGkfMhIQQgkCCAgE5PKDkBFiElR0qGEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUCQB3l0XCTCPy7urgP73v//dbLPNNjlJLLPMMub222832223Xca0v/vd78w555xj2travGl23nlnc88995iGhoaMeTQ2Npo99tjDPProo940sVjMnH322ebMM8/MWWcSQAACKQII6PSGkhNgEVJypGQIAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACRRLg3XWRAPO4vDsL6AcddJDZcsstzbhx48zyyy9vRowYYUVw3fN9991nHnjgAROPx01dXZ31VF9rrbUccjfccIM59NBD7eerrLKKOeOMM8zYsWPN119/bf785z+bZ5991n63zz77WCE+k+n7O++8036tOh1//PFm5MiR5r333jMXXHCB+fTTT+13119/vTnkkEPyaEGSQqBnE0BA79ntX5a7ZxFSFqxkCgEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAkUQ4N11EfDyvDTM+l+vL2uGj6jOM4fCk8+YHjebrz/LZvDll1+aUaNGFZ5Z2pUSxqurs9/LQw89ZHbbbTd75e67727uv//+pXKZM2eOWWmllYz+v8IKK5i33nrLyGM9MJWh6x955BH70fPPP28233xz5x70+RZbbGE/l7f6gw8+uFTdvvnmGyvyT5061YaG/+yzz2yYeQwCEMhNAAE9NyNS5EmARUiewEgOAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACZSfAu+uyI04W0F0F9KgE11hjDfO///3PCuM6Iz1sl1xyiTn11FPtR3fddZf3rHPxGz16tPVk32mnnZJiejifHXfc0Z7HLkH/iy++8G4U0NnokyZNspddeuml5qSTTop6C6SDQI8mgIDeo5u/PDfPIqQ8XMkVAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAECifAu+vC2eV7ZZj1c69V3gN9iw3K44EelcN6661nPcv79u1r5s+fv9Rlm2yyiXn55ZdN//79rbiuUO8+mzBhgnnqqadMfX29kTe58gpswYIFVpxvamoySvfEE09482hubjZDhw418+bNMxtvvLF56aWXot4C6SDQowkgoPfo5i/PzbMIKQ9XcoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHCCfDuunB2+V7ZkwX0Dz74wJ5nLu9xCek6Bz0wCdp9+vQxra2tZrvttjNPPvlkRrQXXnihPRtd9s9//tOecR6Y/t5qq63sn0p32mmnZcxH5Tz99NOmpqbGLFq0yNTW1ubbnKSHQI8jgIDe45q8/DfMIqT8jCkBAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE8iPAu+v8eBWTOsz6H68Nq/gZ6FttMNNWv9RnoGdiImF62rRpNtT6xRdfbGbOTJR/2223mX333Td52fvvv2/WXHNN+/fxxx9vLrvssoyYdaa5zlCXXXnlleaoo45KptXfxxxzjP1b6XbdddeM+aicyy+/3H6v8seMGVNM03ItBHoEAQT0HtHMlb1JFiGV5U1pEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkJsA765zMypVis4ioL/++utmxIgRWW9r1KhRBd32LbfcYg488MCM15588slWTK+qqkqmkcf59ttvb//WWehKk8nefPNNM378ePu1PMzlaR6Y/r7ooovsn/Jwl6d7JtPZ56eccor9WuXLIx2DAASyE0BAp4eUnACLkJIjJUMIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhAokgDvrosEmMflnUVAj1Ll9vb2KMmcNJkE9HXWWcdcc801ZoMNNnCuuffee82ee+5pP7/66qvNEUcckbFshYIPvMXlbX7FFVck0x599NHmqquusn8r3eqrr54xH5UTeK/fd999ZuLEiQXdLxdBoCcRQEDvSa1doXtlEVIh0BQDAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACkQnw7joyqqIThlk//drwiodw33aDGZHvoVABfc6cOUb3KVu8eLH59NNPzT333GNDqq+yyio2PPtOO+20VD0U0n2//fazn914443moIMOyljPzz77zOYjO/jgg80NN9yQTKu/b7rpJvu3yl155ZUz5qN0Si9LDykfGRIJIdDDCCCg97AGr8TtsgipBOXylbH9mDOczOP9G7wFLlqut/N5U/+YmzYVoSb53eIh7oeNQ91LY83uZw3fup/5rlWq5mVancT1M2vce2yItsuwtX+bc22syb2X6kUuB9+9tNX627K1r1tOVZtbTpV7e6atzr2XhlEL3HuOu3Uc0n+h26atLq9MPbAm5tZ7aG+37DlNvZwsFjbXRapj/16NTrqqKvee422evmiMafLcT1u7y7ZXbYtTTnO82vmsT53bSZs9Zcxd5D5HA3q79+KriwpdacB3TtnfNLrPoO++W9v9LNIznN9Y75TR5uEY87SzLqyOue3Qt77JyXP6dwOcz1pmu3yqF7v1jg/2dPoWt/1iC9226jXDMxgZY+rnuT261TPsxT2ftbvFmFq3y5vB/3X7yex13D7fa8vZTmVmfzHY+8j5+Hib2nPb7Z628jxGxvNoeOviG59sQs/Q2lbvGUeb3bZur3Yvbvdca2o94+WCaONWe5+4/34WeBo208CX/rmHd5VbRS/bqlbPfOKZYyxaD5/qRs884Sm7ynPbvr7T5sEY98yX7Z55p362f9yJeR5hX9k1i13gvnQt/dx0De5jZAZMcQuONbtw2mP+caJ6sXt9e617j4uHuhN77QK3nJqFbiNUeTwe6qZ7BqiFHjjGmMbV3ZCEzQOiPQtVcfd5i3k+8z3TUccOXxmZHqu2Wrcd2qs9z0ezb5BxP2urc9uq74fuvGpmez7r465ZVO+Fa4/0rAl9D5znXjzdrLrFvbZupmf9NvnDqKORP12Vy6Jm5HA3bb8+zmetg9x1h6+QqjZPf1rkzoNVszy8Nb41eX4ALLesU1TjKHc9Ud3kPlvtoXCZQSbxes9a3dPnaxZ6Bi1jTGsf99ny3bev37c2RJtjYq2e9W0vT/stcu+5erF/fmvp6/sd5JmDfWOhdz3hfugf39yeEm9wy23LgMY3Njf38zxbnnoPffkbp/D2KYmX3GGL9fH07zp3rda0mj/86/eru+to3/PhnW89vwm9v049U6vv92SL+/ga3/yr+lW7P0dMzP0ZZHxrGd9n9XPcmtfPdftj0wC3sX352To2ecYUz/NR/71b8aq4Z66v9vQ9z5zua6tYi1sXXxm27T39MV4f8fn3rFGMr/1rfM+v2/O87eeb540xvjm41TP2tNW5z2Dc81lrgyed53eV7/nP9DO23bO88a1bvdd7OPrSeX8HZfhZ/dEZvyxububqihPg3XXlkHcWAb2cIdwz0ZRIvf/++9vQ7RLJDzjggGRSPNAr1wcpCQLFEEBAL4Ye13oJsAjp2h0DAT17+yGgZ+eDgJ7gg4Ce6icI6AkWCOipPoGAnmDheymHgJ7qJwjoCRYI6Kk+gYCeYBFHQE92CgT0BIoaBPRkn/AJ7QjoCTwI6OH5BAFdNDJtbENAz7xW921iUGoE9OzviTrjt7y7rlyrhFk/9epwM2xEtA2+pajhzOmtZrsNEx7oX375pSn0jPNi6rLXXntZb/Q+ffrYOgwaNMhmxxnoxVDlWghUjgACeuVY95iSWIR07aZGQM/efgjo2fkgoCf4IKCn+gkCeoIFAnqqTyCgZ34ph4Ce6icI6AkWCOipPoGAnmCBgJ7qEwjoCRYI6KFxAg90CwMP9FSfwAM9wQIP9NB7DDzQu/ZLyxLVnnfXJQIZIZueLqDfeeedZp999rGk7rjjDvPzn//c/nvy5Mlm7Nix9t/HH3+8DfOeyRQKfvfdd7dfX3nllclzzPX3X/7yF3Psscfa75Ru1113zZiPyrn88svt9++//37yXPUIzUgSCPRYAgjoPbbpy3fjLELKx7YSOSOgZ6eMgJ6dDwJ6gg8CeqqfIKAnWCCgp/oEAnqCBR7oqT5BCPcEC0K4h8YJQrhbGIRwD607CeFuYcQJ4Z7sFIRwT6AghHtqnCCE+5I1pu9UPe+RPv5j7PBAz7xWxwO9Em8lK1MG764rw1ml9HQB/ZlnnjHbbrutBX7BBReY008/3f67ubnZ9O7d28TjcbPddttZj/RMduGFF5ozzkgcufrPf/7TbLnllsmk+nurrbayfyvdaaedljEflfP000+bmpoas3DhQlPnOaqmcj2DkiDQNQggoHeNdupStWQR0qWay6ksAnr29kNAz84HAT3BBwE91U8Q0BMsENBTfQIBPcECAT3VJxDQEywQ0EPjBAK6hYGAHlp3IqBbGAjoqT6BgJ5ggYCe6hMI6EvWmAjoyU7BGehd+/1kOWvPu+ty0l067zDrx18dUfEQ7jtsON1WqKNCuN9yyy3mwAMPtHWQ93fgLa6/N954Y/PKK6+Y/v37m9mzZ2cUtCdMmGCeeuopU19fb9P169cvCXn+/PlmmWWWsYK80j3xxBPextX3Q4cONfPmzTMbbbSRefnllyvXCSgJAl2YAAJ6F268zlp1FiGdtWWi1QsBPTsnBPTsfBDQE3wQ0FP9BAE9wQIBPdUnENCXvNyscsdTQrinmBDCPcGCEO6pPkEI9wQLQrin+gQh3BMsCOEeGicI4W5hEMI91ScI4Z5gQQj30LqbEO7ZX+r0kG95d125hu7pAvqOO+5oHn/8cQv82WefNVtssUUS/sUXX2x+9atf2b/vuusus/feezsNI36jR4+2nuo77LCDeeyxx5w0+lzCuTzLP//8c+9Z73fffbeZNGmSvVblnnLKKZXrBJQEgS5MAAG9CzdeZ606i5DO2jLR6rXdj37rJGwdUO+9eNEI9/OFI9xfI75dv3FPlvEGtxhfulizJ10vf/gx745jz93Uf+8qGb4XD62DWt2rWz0qSLWbrKrZTdfWJ+5lW9PbLae61k3bFvfkGXfbYNiQeU45sSqXWUvcrXhdjeeejTED6hqdPEf09pRj3HLmt7odYFFrnZNfY7wmUr0bW9108QyN7xO32zyuoD4+8TaX97J9Fjh1bG5zOfry+25R72gPpjFmeN/5kVj4MvTVx5dufrOnXZrddhnQsNhb7wVN7vVtxmX27ezUbtkgo+rZbjk+MbGtwe1P7THP8z/IHSjaPe2n8uu+9AxInsd6wCduOc39PWOHp1k9j5tZuKLn+a934yvG5nsGFL0I8409EXtUW61/zIx4uZOsKgNbX35tA1ucj+v6uu3Vu8H9bFCvRc61M+b2d8eOr/pGupX2/v7xzSzyMPfdo6fvVXnGZV9beV9ketq0vTpDW3n6aM1Cz4e+yz3JfB5sbTXuxW31vmfQxR3zT2/+fuupY3WTW0nfsO7jGHO7mOk1062jL7++X/sr3nu6O+7Fe7lzz5xV3cWMj239XPem6+a7Zff+wp1Xq5r9/XbRyoOcm4zXu2uCthqXbVWbWx9vH/X1p3Zfn3DLiLVGH3dqF7j32Nzf5W2qfH3eU59qN139d25H8QktLX1rveNJm4dt9WK3DX3Cv/GIfHXfu2NezRdux239OuFFU6hV1bj3E+vvGTN9faLWbYP2uOeZaXbZtre4bdrW7FnUZ7ixWC/32YoNdvt86/LLuOuyge4aI9bi9pNYizsH+/qECog3eNaonutr5jc59Vm8XB93Tdfkmf89dWwe6CnX92xleNzide6zEK/3PEeedoh5hp7qZk9BEceElj7u+FTd5K94vMGz3uoV7fdbwxw3z4H/c9cTNVNnuXftCW0aHzbA20u/Wdt9jprdJYrXY9yzXDZtniEvajrfvFPj3nLGYcQ3j/oS+36XV3se66hzdaZ5wpdn3Xz3malu9D3DnvnN00dbe7lrP9/6vboxwwLHA6jdM9a3eeYjX7t6fkKbWDzafOuLclTtGZ+8dVGUJE+92z2RYVobPGsMT7oWz7Pa2suzLvP0ec/Panthuyet777bfT+jfEsHn6ju/wnmfW4+PPOXhU7LXNdBBHh3XTnwYdaPvLpcxT3Qd95wmr3ZUnugy7NcgndDg+dl9hK8f/rTn8yJJ55o/5II/vHHH1uRO7DvvvvOrLzyymbu3LlmxRVXNG+99ZYZMmRI8nuJ5rvttpt55JFH7Gfp4duDhOEw7j/96U/NAw88YKqrU4PYN998Y8aNG2emTp1qBg4caD777DMzaJC7jq5cr6AkCHQdAgjoXaetukxNWYR0mabyVhQBPYUFAT3BAgE91ScQ0BMsENBTfQIBPcECAT3VJxDQEywQ0FN9AgF9SZ9AQE91CgR0ywIBPdQlENAtDAT00NyBgJ6EgYAerK0Q0INOgYDetd87doba8+66cq3QXQV0CeIKnz5x4kSz6aabmlVWWcX07dvXfvbee++ZO+64w7z00kuJ96p1ddZzfOutt3bAX3vtteaII46wnyuPX//612bs2LHm66+/Npdddpn1WpfJe/zOO+/M2HD6Xl7mMp2RfsIJJ5iRI0faupx//vnm008/td9dc8015vDDD69cB6AkCHRxAgjoXbwBO2P1WYR0xlaJXicE9BQrBPQECwT0VJ9AQE+wQEBP9QkE9AQLBPRUn0BAT7BAQE/1CQT0JX0CAT3VKRDQLQsE9FCXQEC3MBDQQ3MHAnoSBgJ6sLZCQA86BQJ69Hd8pPQT4N115XpGmPXfXhlllh3hm+DKU59Z01vNTzf6ymZeag90CehTpkzJWfFRo0aZm266yWyzzTYZ0/72t7815557rmn3REjRRQrRfv/992f1dl+8eLH52c9+lgwXn15YLBYzZ555pjn77LNz1pkEEIBA6B1fe6YnE0oQKJAAi5ACwXWSyxDQUw2BgJ5ggYCe6hMI6AkWCOipPoGAnmCBgB5aXBPC3cJAQE/1CQT0BAtCuIcW+wjoFgYCeqpPxBDQLQwE9NDcgYCehIGAvmQeJYR7sk8goHeSF4hduBq8u65c43VXAV0e3X//+9+th/gHH3xgZs6cab799lsrcg8bNsyss846ZqeddjJ77rmn6d079/GNL7/8srnyyivNCy+8YPNSqPW1117bHHjggcmzy6O0mrzUFV7+3XffNXPmzLF12WyzzcwxxxxjNtpooyhZkAYCEAgRwAOd7lByAixCSo60ohkioKdwI6AnWCCgp/oEAnqCBQJ6qk8goCdYIKCn+gQe6MFLXv/yxXcevO+cT85AT/DjDPTweMsZ6KLBGeipPsEZ6EvGW85AT3YK3+83zkBP4OEM9NBajTPQLQzOQE/1iXbOQK/oe8fOUBjvrivXCt1VQK8cQUqCAAQ6kgACekfS76Zlswjp2g272a6XODfQVuv5NWGMae5b5aRtHOx+5vsx4vPGije47Hw7i32E291ibbJ4bzfMmff6mJvOJ4K0DWqJ1MCx2rjLMe5yrPKUqwvrernlNNS5nzU21zrl1FS3OZ/5ru1V6+Y3qH6xc23/ukbvPddUueXUx1qdtE1t7gvvWY19nXStbS6fpni00E5tmTqAp+ZNLW6e1Z52qKl227BPbbOTY+8aT7t46h3zKESLWt32a89wL1VVbh8d3OC2V52nDRa01Lu8PQ+mj+OCZvfa/vX+PjFt7gCnnEWL65zP2qe6u2/r5mZ4iCM8cc2DXDbVKy50ruxV77afEvmYz5/by6237xme5/anXsvPdznM7uN8VtXke1Pj3nBGcdp9BI3xYGxr8CTs5fZvs7jaKTzmq6OnL2Z6BL11H+r2nxFD57rjlufZ6l/X5KT7z5fLuW01w51Q2nr5OLhjls1soWfsiTadGN/cUd0YrX/75saqDFX0PRqepvE+QfGGaDfTXutJ5/ko1uK5P48nvp3f5rhpffO/Zygzrb453YfW09S1892EPo+2QR95ng0J2V+74217tfsMLxzp9j3fWqZmsQvS54Fau9DtAFUeDzSxbennzinN/d3n2jMtGx8L33Nd1ebpAFWetZ+nXWIZ6u1ZTpjqxf52SO/Qjcu49+zt9B6xxOfp6nuGMgkMPha+633356tj38mz3Ln6088jzIL5Jake4M7VVQP7u5k0e9a8ns/a5rtzXluLZ+Bq901a+dU9Suqaocu4yQYPdOeJOnecb691n5fmIe56wD5vfdy0vWa5c1Rsobv2aBrmroN8fcf3DC4e6unzvrnfrZ5l4CsnXut5hj3Xx1o8v5c8zeqLQOIVpzzLoNZe/vnSNxe29HObutXfXE7Cvl+599L/c3d9UjPfbdPWfu7a2C4dlnM/Xzjcvclmtzua1l4R52Xf8qTaM5/45uUMRXjXLe5tG99YFvMsras91/o2yvnm+fq50TiIt28Mr2n0sPBtMPHMZfF6z29135onYn5RxqusaSKW3VbjeWaq3c+qWtyHtd0TDSUxULg18/Hxi86edV69+1mL71n3jAnxDNN8m/sT0/jWN8V4qrdnGEd97fbhmb8susnJoLIEeHddOd5h1g++snzFQ7jvttGX9mZLHcK9cgQpCQIQ6EgCCOgdSb+bls0ipGs3LAJ6qv0Q0BMsENBTfQIBfUmfQEBPdooqBHTLAgE9+9yBgJ7ig4CeYIGAHnpmPAIcAnqCTysCet4/rBDQE8jaENCz9h0E9BzrFgR0C8i34cR7HIlvc1neo1faBQjoFggCerEdieszEeDddeX6BgJ65VhTEgQgUHoCCOilZ9rjc2QR0rW7AAJ69pcJeKCn+OCBnmCBB3qqT+CBnmCBB3poHG3zuLDggZ5xoYAHegoNHugJFnigZ19X44Ge/+8OPNATzNrxQE92HjzQEyjwQE+NJz4vcjzQE3wQ0FP9BA/0FAs80PNfj3T0Fby7rlwLhFnf9/KKFfdA/9nGU+zN4oFUyICMAAAgAElEQVReuTanJAh0JwII6N2pNTvJvbAI6SQNUWA1ENBT4PBAX/IyiRDuyU6BB/qSPoEHerJP4IG+RIjIEKGcEO4JPnigp+ZWPNATLPBAD6238EC3MAjhXuCPl7TL8EBPAMEDPXt/wgM9+29eBPQEHzzQU/2EEO7ZxxQE9NLM4ZXMhXfXlaONgF451pQEAQiUngACeumZ9vgcWYR07S6AgJ79ZQIe6Ck+eKAnWOCBnuoTeKAnWOCBHhpH8UC3MBDQU30CAT3BAgE9PE64a2dCuCeYEMI9/99VCOgJZgjo2fsOAnr237wI6Ak+COipfoKAnn1MQUDPf77u6Ct4d125FkBArxxrSoIABEpPAAG99Ex7fI4sQrp2F9h4zz84N7B4mZj3ppoGuh+39vUk9Zzf1drH86HnI1+oOF+oMOOvommPuZm213g+q3Pdn6pq3c+q6+PODVbXeFynPBiqPL/A+zQ0e9n60vb3eP1+v7i3c31tzK1jnzq3nNpqN13MU8fWNj/cFs+buZhx2Ta21jp1bI67BzMOaFjspOtf5x7A931TLze/1ppIZShRa9y9n951Lc71fTxl+8TyOg/HRk99GmpanTJ8bH1tkGlU8V3vO7O+0XN4nK+tmj1tOrepwSne1z+VaMqMIW5Vv6l3Pos1Znhg01K2DnSZDRg5z8lvmT4Lnc/me+qdiaOvrds9h3q3GdfNetbcfk62jfPce65a4PZRz+NivB7bmSrue6vnSdvm4Vhd77KNL3Kf1dgcT719zZehLm2e8XbACnOdWjY1u2XX1rhj1MqDv3Wu/WDGMPfZ+rKP81lbHzc/73yiF6ZN7k365iNfpJJYs8cd3zO/tdW5H1a5VfS+vNXN+c6dj/fy5OmbbuvdecuXn49Dw2yXTSaOvq4bc4dbE3eHGVPjTgmm1R3+ja9sXxnVnum2/ju3hgM/9c/LNQs9z0wvdy5r7e1+VtXqNkJbncuxtZfbd3x9om6ep6Mo3Ps8t+7NA+rcMWoZ97n2hqT1NGCs2bOGinnq7TkPtt2TzvZl3/DoeYzi9RlCXaTX09PnfX2xptFzL9XR7sXmF3Hd6hs76ua6/anuhcnuuNXs749OwvZoa1FdF6tz+0RskGdR38ddY7bNmOUW3ex5qD31aY/7+22mKa7sn1e5z2CswbNmWXGUtyptvTxz5mx3fjO+fl/j6fTzF7jlDHbbZf4Yd621eLBn3GmP+CBobewZe3xzgu/3lnfu8DS1/1gO95Zb3W5nE1W5j4yJe+aEOk8T+MTg+jnR5kvf+cu+e1EdW3q744evjr65rHGI78Brl0+772z7iOtBb5tmeNBqFnjWQRHbNeYZtnxt4BtDaz1zv62iZ4irXeRpQ8/c42uvqni08d9XRy+yTNNTxHPMIwv1nsJbI86NNU1uZeJ1/or7+Pju2zevt3vmUd8RRb56t9W49Wlzpyxblbg7XHvPS/etMTw/6bzryTbf+iTDz9iPfvPLsk9bFFBaAry7Li3PbLmFWd/z8miz7Ah3DVWu2sya3mL23PgLmz0h3MtFmXwh0L0JIKB37/btkLtjEdIh2EtWKAJ6CiUCeoIFAnqqTyCgJ1ggoKf6BAL6EhYI6MlOgYCefUmCgJ7gg4Ce6icI6AkWCOgl+zkTLSME9CQnBPQl61uP2ImAHvptjICeeWxBQE+yQUCPNgWRquMJ8O66cm2AgF451pQEAQiUngACeumZ9vgcWYR07S6AgB56SYAHuoWBgJ7qEwjoS14wZhBL8UBP8MEDPfXM4IG+hAUe6MlOgYCeQIGAnhonENATLBDQK/wbCgE9CRwBfcn6FgE92SfwQM+8fvOOVAjoSSwI6BWeyyiuYAK8uy4YXd4Xhlnf/fJKZmgFPdBnT28xe2/8ua0zHuh5Nx0XQAAC9kif9jxie4EMAhEIsAiJAKkTJ0FATzUOHugJFgjoqT6BgL7kBSMCerJT4IG+BAUe6Mk+gQd69kUOAnqCDwJ6qp8goCdYIKBX+AcSAnoSOAL6kvUtAnqyTyCgL0ER9SQEBPRk30FAr/BcRnEFE+DddcHo8r4QAT1vZFwAAQh0IgII6J2oMbpLVViEdO2WREBPtR8CeoIFAnqqTyCgL3nBiICe7BQI6EtQIKAn+wQCevZ1EAJ6gg8CeqqfIKAnWCCgV/g3FAJ6EjgC+pL1LQJ6sk8goC9BgYCedWDmDPQUHs5Ar/AcXoLieHddAogRswizvuOlVSrugb7PJp/amuKBHrHBSAYBCCxFAAGdDlFyAixCSo60ohluMeEip7zmATXeOrR5Pl40LOaknbd6q/NZVZObrr3G8ws16o9WN7u8uPnKrunX7ORRV+fey7D+8510cxp7OZ/Nn+9+VuPJTxe2t7vb2KtjbU6evnT1dS2R7r2+xj3Irrba/WzOIrfemQpoaal2vorF3EasrnbvZeSAuc61w3u5bGc19nXSTZ/X3/mssbnWW81+vRudzwf3WuTW2yMINsfd+xtY7+Y3sM7Nb0FLg1NG31r32mbfg2WMiRmXY6PnYMY24/adRa0uC9/GiBpPH6uLuX1i1iK3DXRzcxe597hontt/qjzt3x53691ngIdt78UOxxZPu9TVuM9qn1r3mVZmNVVuf/x2cR+nnO8XuvfSvNhl277A/ayqOZNrytLFtHvGsvZenkMndVmbJ0/P81bnGcvirW5BbfM9z4ynjKqWaPdix7IGl22/YQvceabVfbZGDZoTaSz79IvhbrpFbn6mj9snjC+dQjT57tu9FeNr11hrND7x3m6GPrbtnluxzV/nqZAnbXuNpxzffOvbBNHkZlg3y538ff22rdY/gfuK8W068DyWJl7nNrU/P086z2PUa7abrv8U/xza2ttlsWCk+xwN/sAdZxq+cue3lmXcMWbOau4Y09rgWQ80+R+NPrM84977s9z5ceVlnM8WL+sZyzxduabRbVfPksX4RPF4rf/Z8O6/8S0JfWs9T5a++nimRuNL55nyjGf6tfx8fbSqza247/7qv3PbqtfkaW7D1ngeak8Z7YvcdYcyi3/v9j3T7hk7Io220RPF6tyHta3ZPwdHz7WDUnqEdtUkVuuOhW0tbrvGGuqdildVu+1aVe+mi6+6nHNtvMEt1zc+tfT1Tx6NA90HqcW3rPM9W55nsMbT9RrdIcb7vPjmt1Z3KWkZ+J7NOs8yofcs9xn0jT2tvd3+5Kt3m2dp5NsIptxq57l5+urdPMBN19LHM7Z65/RoP45983KGvY7+sdCzlok1uZ0iFvGxrnGX76ba81mb+xhYWNWeec/XDlWeub5ugWdc9gyDrZ6yY56lY3WLp61i0dZ+du6Ie34bN0ero2+O8fVv3/wU85TbVu2vd3WjZ+3om3tq3UEhXufm6VvLeD3VPe+X4vX+Onp+Bhvfz2jfeqTNs570/gbzPYMZ3jt9eOYvO2iSothCCfDuulBy+V+HgJ4/M66AAAQ6DwEE9M7TFt2mJixCunZTIqCn2g8BPcECAT3VJxDQEywQ0EN9AgE966SHgJ4ZDwJ6ig0C+pL5FgE91SkQ0BMsENA7/ocVAnqyDXwCEwJ6qosioGd+XBHQU2wQ0BMsENA7fnrr6TXg3XXlegACeuVYUxIEIFB6AgjopWfa43NkEdK1uwACeqr9ENCXvNDHAz3ZKRDQEygQ0FPjBB7o2ec8BPTMfBDQU2wQ0JfMtwjoqU6BgJ5ggYDe8T+sENCTbYCAnkCBB3p4/o72iCKgpzghoCdYIKBHe3ZIVT4CvLsuH9v0nMOsb3tp1YqHcP/FJp/YKhHCvXJtTkkQ6E4EENC7U2t2knthEdJJGqLAaiCgp8AhoC95oY+AnuwUCOgJFAjoqXECAT37ZIOAnpkPAnr4BbwbnpMQ7gk+hHBP9ROfeBc1NHvUdIRwL/AHRNplhHAPjW+EcLcwfGM6IdxT/YQQ7gkWhHBP9Ymox4QQwj3FjBDupZnDe0ouvLuuXEsjoFeONSVBAAKlJ4CAXnqmPT5HFiFduwsgoKfaDwE9wYIQ7qk+gYCeYIGAHuoThHDPOukhoGfGg4AeEpiaEdDtfIsHeqpT4IGeYIEHesf/sMIDPdkGeKAnUOCBHp6/oz2ieKCnOOGBnmCBB3q0Z4dU5SPAu+vysU3POcz61pdWM8uMqK1Y4d9MbzH7b/KRLQ8P9IphpyAIdCsCCOjdqjk7x82wCOkc7VBoLRDQU+QQ0BMsENBTfQIBPcECAT3UJxDQs043COiZ8SCgp9gQwn3JfIuAnuoUCOgJFgjohf6kKd11COhJlgjoCRQI6OH5O9qjhoCe4oSAnmCBgB7t2SFV+Qjw7rp8bNNzRkCvHGtKggAESk8AAb30THt8jixCunYX2PrHFzg30NK3xntTvh9/i5d1dxLO3KTNuT7W5Hqbmbj7WVud5w1qjeezKs9nGZrC9/KnqtatY02vFieH3r2anc+G9ZvvfPbd4t7OZ/MXNUTuHDHP/VRXu3Xs19Dk5Lmwqc75bFlPHZfttcBJV+OJFfddk3svuvC7RvfzeYvde2xqcvtPlaf5+/dd7NRnZN95zmetngacPr+/k665pdrLe0DvRpdPb5eF7+KZC/u5zKrjzmcjert9oq661UnXq9rtY/Nb/P1kUav7bNXE3D7hE/nnNrt51nri1Pr6na+MBc31XrbxtlikPl5X47KIGfcZrvI8B31r3WdwQYvb5xs9vPrXu22vCvvuZ9Yct61bGj1jYavnnpvcz6paPZ3eJxDVej7s7fYxC9o37PmGxxq3n7TH3Tq2e8bgqmpPhm3uvbS7RdgqVnnG6+oGt/0bGtxnYeXB37pjcI2b7rVPRrv9bp5nV3sft1zT6B8n/j973wFlW1FmXeecmzr36xd55CASBUckiBgQ0N9BR0WWaXTEgLqcccD4K+qYdQYDzhoUUYdBl8w/YxhFVAREBUdEEUlKluSDF/t1un3zOf+qc27fc9/b+3af7r59O7x913pLqa7w1f6++uqr2qeqmL4cgg/TgUOaCYg4fo6ARmzeKfNxFbC5kOmhl9kP6jVF9FIdwbGeewLHQbkf66Pyhdf4ov2kJohNcdWgD55E9afRBZvcMMqY24nY0GvCjTHlfhTIJzIO3o9zWWo4j3PZIM6hW4/rwXiJ2VMLbFbfhT4u88BmbHv/dZC288ldkOanUC9ulfjqhL4o0QRRz8TaThewIaYDdu1tpRv7wurL7UDAq118DJYGks15TJ5UEfviEl0zzLwyDvSeu7fzefnhxyA9qKIfnY1ukuRNHXwg2t2DDyUpusfm8fow7igffygZl2h3zEZrWRJ3GGMm12L5Si/CzuwxuzOZeib2w3zVbhagkPpaLOmyw2QMo2vl44DMweVVmJVf/0z8DovVjDG5bcl8QnmQzJmkaMBiMBZOusnWwWz+DcPJDIkTiTxugcSOybpsUpNkPiG3z7T6OIE9w9G1FXU48CCuE7oexHiyun4ACk/sh+slNnd42IRh+yKtRgubE9h4o/Otz2wn2VzN5GFzrc3nltAmHNa2x+I3TKtlie0QW/YzmFhtsYXCnrgJyFKNxXU1XDqapM/EMFu0mP3pE+cnc5DKtWQQ0N5151QhAr1zWKslISAE2o+ACPT2Y7rH16ggZHmbgAj0WH8i0CMsRKDHNiECPcJCBHqTnxeBHoIhAj22CRHoERYi0JviCRHosw6ORaC3hkwE+qzNaVkUEIFeV5MI9Ia9ikBvGrqEbBWBXo+3XBHoU5YiAn1ZTHdLRkjtXXdOFc1Y//uvDuv4Fe5veOY9YWd1hXvndK6WhMBKQkAE+krS5hLpi4KQJaKIOYohAr1pw1sn0EMwRKDHNiECPcJCBHqTgxWBHoIhAj22CRHo9Q1ddkJeJ9AbhlLVCfRpI1UR6K3hEYE+x0XOEi8mAr2uIBHoDUsVgd40aEWgh2DQU+Ai0OMxoxPoS3ymW1riae+6c/oQgd45rNWSEBAC7UdABHr7Md3ja1QQsrxNQAR6rD+dQI+wEIEe24QI9AgLEehNfl4EegiGCPTYJkSgR1joBHpTPKET6LMOjkWgt4ZMBPqszWlZFBCBXleTCPSGvYpAbxq6ItBDMESgxzahK9yXxdS2pIXU3nXn1NOM9dd+dbhZsxd5R2GBxNn+RNm86Zl3h7XrBPoCgaxqhcAKR0AE+gpX8GJ0T0HIYqDevjZFoDdteOsEegiGCPTYJkSgR1iIQG/yuSLQQzBEoMc2IQI9wkIEelM8IQJ91oGqCPTWkIlAn7U5LYsCItDrahKB3rBXEehNQ1cEegiGCPTYJkSgL4upbUkLqb3rzqlHBHrnsFZLQkAItB8BEejtx3SPr1FByPI2gVNP/wx0oNxH7sKyCziywbHtWA/KFw8sIygTmM+QhXF6TRHK+j7JGJA0Y0xvbwHKr+udgLS/7ByEtFrNhbRctgJpPVnsX7lG+kdMw2MgGmP2798JuSeqyb7S3J7vwb4E2JfebAnypd0apOXLWWrUk+U0pFeq2O/BHtTBWCGHdlZGO3M9H/J1ER3s2z+CeFU4Xhu6xyHvSLkL04qYxvqcTSFmBw9uh/oG0ojDtlIf5HMN3zn0yQBhdjZaRmxXZYkOiF5dYo8VH3VarnKfkC8h5uv6EG/WDjOypPk2jyOOvo82n0lXqS2PTaCuqyXst1/GNMcj+mIqLKM8pkr8FnMdObSxsCOsTtY284/M96SxsJMmbTN322LD2y+irbCmnW7UzVH7PQ76Gid2+/Cj6yCfQ+aYIIf+pNWM7ZSIvpiqif6dGgLE2vb6cD6pERsLKnx+c4poLG4Z8/qk3wHRdbof54RqHsc0xbYX7YTls3g7bA5nqiEqSE1g/9I4pZveTais1CQ2QqY845Zb2Am5IrWWJu+O1kjbE4iPW8V2dhyJvohM3yZoEWJ0b8M6ex9G/1/txfl7Yh9Mq3aR/pGQjo2j7CjKkhnjPnhyPbbNYkLWDtMBK+uVUS89T+AYzN2/DePOoV7qKsYPxrknuxP7WFyNfrDcl8zHMLKkZyvaU+6JPJXReRj9aJBHm/BLGG+38o+QftIx6IN/exekBbUWc1nihjqQ0UG9OGTsW0m8NatBoOpWjP+8gX4UvIp24qxfC/kKB2Mb25+CftklQyvFTcLUMEw0JNQzGeJbHeLfmJ/I741drnW3CBR2y5oa53OeIUMmPYrt+GTZwvxopR/lYeGSnyGxUYtpwiuSOTibrB360RlzEyzuYPGJS+Qm9bUcVWQNZsja2LB8bJ6vkMZJHOuVWqzpH8X0db9DI089vAV9zyT6PCeD805t/72g7Panop/3KoitV2ph3w7KzcYRm7dcnKJMqpgwlvWJ3XktxhYxArpFQer0aRxExn+GxMZsS4f420ovl7uWJeONxEc+CTGYT2A6oDFYCxj/+M/nd2CSUhPtREB71+1Ec/q6mrG+9MYjzOoOnkDf8UTZnHvKn0IBdQK9czpXS0JgJSEgAn0laXOJ9EVByBJRxBzFEIEeAycCPcJCBHpsEyLQIyxEoMc2IQK9joUI9IZRiECPoBCBHvuJlAj0EAwR6LFNiECf40JloYuJQG8gLAI9gkIEetOgE4EegiECPbYJEegxFiLQF3qCbn/92rtuP6atahSB3jms1ZIQEALtR0AEevsx3eNrVBCyvE1ABHqsPxHoERYi0GObEIEeYSECPbYJEeh1LESgN4xCBHoEhQj02E+IQI+wEIEe24QI9CW6XhKB3lCMCPQIChHoTWNVBHoIhgj02CZEoMdYiEBfovP6NGJp77pzOhOB3jms1ZIQEALtR0AEevsx3eNrVBCyvE1ABHqsPxHoERYi0GObEIEeYSECPbYJEeh1LESgN4xCBHoEhQj02E+IQI+wEIEe24QI9CW6XhKB3lCMCPQIChHoTWNVBHoIhgj02CZEoMdYiEBfovP6NGJp77pzOmvG+ss3HtXxK9zfdkr0tJCucO+cztWSEFhJCIhAX0naXCJ9URCyRBQxRzFEoMfAiUCPsBCBHtuECPQICxHosU2IQK9jIQK9YRQi0CMoRKDHfkIEeoSFCPTYJkSgz3GhstDFRKA3EBaBHkEhAr1p0IlAD8EQgR7bhAj0GAsR6As9Qbe/fu1dtx/TVjWKQO8c1mpJCAiB9iMgAr39mO7xNSoIWd4mcPLZn4MOVHoc2qniEKYXhzCrc8Q4JLoOsi2DPQXIl/ZqkLa2K4/1Gc7e5LwK5O1LFyHtkQkUfNP4AORjpHomXYV85UoK0kokrberRLE9Zu0mSPcIZveNroV8j+9AuR2iwoBA5qV8qC/wuf5dFytY3Ye6yaVQByPFLmhnPJ9D2ysijn0DaCdHr3sCdVDDsjZTL9H/w+Oo/0IlA3UOT3RDGuvzAf3DkC/joi1PVrGNVh6k7HvwJz9A3aRc1GE/6XOxlob6Jkift+Z7Id/OccTBZkqnyXjtn4DyXcQmWF8mylkoW6ig3CM7UEaDMBhDbDZsgJi4l8G+1EqoA64vUiGTp5isviDNChvjVFxsnrlCmoYyBjnss0PaZh8NBOUWfSmgjC6R2x9EP3Hgvluhf/v0jELajfcegnPCCNqJn0UgnAr3b1SvBMcgTRKzqK9UT7nV0N4l3fWwvvIW9JfheBtFzB1Uoal1YZ2MEAgypC9szJA5wSkjjm4LbInbMixvCqcTQ9yo8XBKNymcJoyPJmFcopau7Xy8pUqYXhpAHRQHEYvcCGLb+xjO/5MbcE5gRGuQzHWEtuWWsW0XwxaKj5/CvnglrC8zgWk9f5lMZPM20/anoA93q8xuUR6H9KWG4YTp3oL667t/DH3Htp0oNwuiLLG2bhDLj6NBVtf2Qb7iWpzfMqPYmdQY1udUsS9OhQx+Y0yweRu0HZTR8P3J5PravUInhYMrqKJPT2wQncpIyPLUujXQ+shzDqISFYdwfiOhGvVHbAyzscXWWjUyJTgEbrJsiEIeYioBCSc8skRxiHssrUJ4SkM4foMUmWPIFOwW+bzMPk7LYEhgqiQkrJH5zc8RGVnTLWIwHicki/9o7EAURkzUGKZYoj9D1sZOiziYxnU1Eif62JBD1h0srqZxYpnUR+IJi3X/A5h3/c24x+BtJj48j0GBX8A0d6/1oNbNZ+yFfp6MNzZntRpvrcYmOmu0svQkGYRkaHVtwbkj9dh2qLC2gWze2Fwe6t9Pow7YXMZiB58sywOXjBe2Z9EiVGdxXS3D5CajNWE7LGZl9m1buPNz53dq9lI7bUJAe9dtAjJBNc1YX3zDUzp+Av3tz7ojlFIn0BMoS1mEgBAABESgyyjajoCCkLZD2tEKRaDHcItAj7AQgR7bhAj0CAsR6DO55WQbqEYEegNIEegRFCLQ47ElAj3CQgR6bBM+2RgXgR7hIwJ9pnmZ/F0EegMUEej1NY8I9NgmRKCHWIhAb5qDRaDXJ1w+34hAn8M8vMhFtHfdOQWIQO8c1mpJCAiB9iMgAr39mO7xNSoIWd4mIAI91p8I9Ppmkk6gN4xCBHoEhQj0mfy8CPQGQjqBHkKhE+jxmNEJ9AgLnUCPbUIn0CMsdAJ9prm1zX8Xgd4AVAR6fc0jAj22CRHoIRYi0GO/qxPodSxanIgXgd7mOboD1WnvugMg15sQgd45rNWSEBAC7UdABHr7Md3ja1QQsrxNQAR6rD8R6PXNJBHoDaMQgR5BIQJ9Jj8vAr2BkAj0EAoR6PGYEYEeYSECPbYJEegRFiLQZ5pb2/x3EegNQEWg19c8ItBjmxCBHmIhAj32uyLQ61iIQG/zZLx41WnvunPYN2P9rzcc2/Er3N/xrNvCzuoK987pXC0JgZWEgAj0laTNJdIXBSFLRBFzFEMEegycCPT6ZpII9IZRiECPoBCBPpODFYHeQEgEegiFCPR4zIhAj7AQgR7bhAj0CAsR6DPNrW3+uwj0BqAi0OtrHhHosU2IQA+xEIEe+10R6HUsRKC3eTJevOq0d9057EWgdw5rtSQEhED7ERCB3n5M9/gaFYQsbxM45h1fgA5Ue3ifJo8swh+8TA3L5zNYgedDWra3DGkvOPBuSCv5KUjbVuqjQlZ9F9IHMwVI88mO/l/yA5BvrJSDtBppwyekc6GIOPT3oiy2gYyHOLpOgP0e64W08mQascgjZgarMwbhamnQTm8F/nbAXtshjfUlX0EstpO+FEcR777VeWjjsDVbIS3lIoY209YCYraz0E30iqvjas2DfOv6xhP1OedVEzmHlItjwxZMOZjO7DbnoV4YFsMlHNg7iojDjnHMVy4RGzPG9PWhPR+8agfqhvSlSnZvHx0dhLLbh3GsB8y+q6i/IMuxddI4GNwU2g/Zazc+a4f4BKr8PNoTzddio4aOYVYBG+spTAxImuORfBV0FG6ROw+HbMAaogZ/NfEne2+D3qSJb3x0eBXOEzu6IM1pIWOigWnfGGY4krnD70bb6VoziX0hNlatIY7FR/qpiKlxNAyfDM2A2XeZ+LceVIxHPoDo3oziFFdjWrWHAWaBxLxdmzGxRkKHFm4dK2RDnZiow6YJ7iYMcVuGuFvDxmXPZqy0e3MJ5K52oU8IXKYr7jsqPa2cxa5NpSbZ+EcYM+Mod2YnxmreBPbFKeOcV9qb2/LOQ7OJhiEj+Vx0HSZVxP517SDj8pFR9BNbcM4yKRJD2ZJpkl4jBtSFsYzxiEFOoJ8IJjDmCcqoA+Nw3fuTWGcisPeATG4XzhPuKow7TF+LhVCVOJAAbW/y8HWA5qZnou0wW2bzDvNFDgkxqX8zxrgsL0mrYUhoSquIXyemx8ZqwOIJMgy8Erdl1h/2QRZby9RyZFyyOIiFMkwJtGEeKDikHR7rsTmTgUtKk2wOWU+wmM7W5rjYtk9iPTZ/uymCLcGnRuoLSJpT5vFkegTnvb1+jYbb/dAIif/IRDEyBvkmjz8I0kYOJoEVwdvDaTCsy60ith5x4dUsVupVyFxN2u59HPuX/vntiby4dxlDr5QAACAASURBVPD+NF9lLa6XK72IRWkViVs8sgZjw5rZLYvBWoSTLE7008niSWbLLI36shbI3vn58xNhrkxLBwHtXXdOF81YX3TDsWZoQ7LYvx0SDm8umfN0Ar0dUKoOIbDHIiACfY9V/cJ1XEHIwmHbiZpFoMcoi0Cf3uJEoEf4iECP7UQEeoRFIAK9YRQi0CMoRKA3zSci0EMwRKDHNiECvY6FCPROLHUabYhAj+FmBLwI9Do+ItCbDAWHqAj0CBMR6LFtBCLQOzqXqbG5I6C967ljN9uSItBni5jyCwEhsJQQEIG+lLSxQmRRELK8FSkCPdafCPTpbVkEeoSPCPTYTkSgR1iIQG/aa9UJ9BAMEehN84kI9BAMEeixTYhAr2MhAr2jiygR6E1ztU6gR/GbTqA3jEIn0CModAI99hM6gV5f57WYqXQCvaNTeFsa0951W2BMVEkz1p+/4a86fgL9nc+6NZRTb6AnUpcyCQEhsBsCItBlEm1HQEFI2yHtaIUi0GO4RaBPb3oi0CN8RKDHdiICvb6xohPoDaPQCfQIChHoTfOJCPQQDBHosU2IQK9jIQK9o2seEegx3DqBXo/fRKA3jEIEegSFCPTYT4hAr/uJFjOVCPSOTuFtaUx7122BMVElItATwaRMQkAILFEERKAvUcUsZ7EUhCxn7RkjAj3Wnwj06W1ZBHqEjwj02E5EoNc3VkSgN4xCBHoEhQj0pvlEBHoIhgj02CZEoNexEIHe0UWUCPQYbhHo9fhNBHrDKESgR1CIQI/9hAj0up9oMVOJQO/oFN6WxrR33RYYE1UiAj0RTMokBITAEkVABPoSVcxyFktByHLWnjFPeecXoAPVHO/T5IHkvr+0j5ndgFSAO+heFut7xgEPQdmhTB7S8rUsFbJQS0P69mIPpK3JYZ1jZez4RCUDZbtTFUh7YqIf0nbuxHa9dI3K7XqIWbXkJTIuv4L5nLFUorLs6kL29J+tzO9C2bODJWhnoLsAaSkP7WTHGOJTKaHcQ0MTUN+GnnFIGyX6s5kmSmgrxRLaSa2Gu2gukZv1JSAm35srg4z79o9AWs5De7KZUg5iVvZR12UfMRsudiE+JK1YxrLVKraRzZCxb0nCDMp++NAWaHuyiuNohOjrseFVULY4jvoLquhPnBLZBW01hLqwP2mS5hObqObJ2AoIQ0j8oEPkTjRQp8vkk7aJPQYZtCeHpAVlMg4KyXxRSzGpPJiYWY2+g9me62Jfxka7sfmdaHeGTU8tBHeSYkv8t7MGfeOTNm6FlibKaN/bRnupROWtOK4Ty8hIAjJ/992H9t3/CPHfR2CF5dUkHmhlFGTM+CyeIPm8Atq8S8YWe5/UK6JALnfBhqXTOZNM6x66f5MdJT69D3EcvA/HgVfkPri0Fm3C1MjYGkWBHB/zedtxbjUTGC+ZLmw36MUYauRo9OlWA6UBZpCom64diFl2J2KRfWIM5469MS7zM9huz62PQdlgjOBgjHG6Cd4Z4mdyJEadRL0G4xjf1BjewSzG1jwmFcdDXx8QOzEdkmceXUlclPWZpbWq0O3rQ79+8sGQNnwY+tbSahyDbgX9Gwsxaj1oE16ejyuW18+QyZDMZSaF+QLyVItD5KZlaWzUwh+wJSZpxycyGlJlQOYYh/WZhFUtYwfSjkNiFMNCNRZjMEMjBuCQ9QlbS7a0W1KerWVcoi+W5rM5ndiJX03m+63ctUlcq/Xej+No4GE0FD+NgJcGMK04hAhlRjEtIKF/q9ghnSdzK4kJyn1kb6TEAmaUp3cTBi6ZG++CjE4XzsuVYw6iZlFYh3NZNYcykmWnYfbNTZn0uYJ9JsvdsDq2R1HLYp2t9rJ2l4kstXlfWkzBt//r+YnnGmVcGgho77pzemjG+sJfHtfxK9zf8+xbws7qCvfO6VwtCYGVhIAI9JWkzSXSFwUhS0QRcxRDBHoMnAj0CAsR6LFNiECPsBCBHtuECPQ5TDYi0EPQRKA32Y4I9BCMsgj0aR2KCPQ6PB0irEWg1+Ng8iFBK0MVgV7HTAR6w0REoEdQ+CLQGzbBPqoTgR7B44lAn8PCSkXmioD2rueK3OzLiUCfPWYqIQSEwNJBQAT60tHFipFEQcjyVqUI9Fh/ItDrm2AtTmjqBHqEj06gx2NGJ9CnyA2dQJ92JhSBHsIjAr3JSkSgh2CIQJ8+hhaBPjXH6AT6Qq22dAK9CVmdQK8vhIi1tbq9RifQQ7B0Aj22GZ1Ab+2tA0cn0BdqLlO9yRDQ3nUynNqRqxnrf/7l0zt+Av19z/5d2A2dQG+HNo152cteZhzHMV/84hfNPvvs055KVYsQWMIIiEBfwspZrqIpCFmumovkFoEe608Een3fSAR6wyh0Aj2CQifQYz+hE+hzmPNEoIegiUBvsh0R6CEYItCn9yci0Ov46AT6HCaeZEVEoDfhJAK9vhAitiMCPV4bkWvdRaDHNiMCvbXvFYGebF5SroVDQHvXC4ft7jWLQO8c1p1oyXXdkEC/8847zRFHHNEUE7jG/u2OO+7YJb0TMoVr6XLZ/Pa3vzU33nij+fWvf22s3W3bts3s2LHDdHV1mbVr14b/jj76aHPKKaeE//bdd99Oiad2ljECItCXsfKWqugKQpaqZpLJJQI9xkkEen3fSAR6HBDqDfQQCxHosZ8QgZ5sbtkllwj0EA4R6E1WIQI9BEME+vT+RAR6HR8R6HOYeJIVEYHehJMI9PpCiNiOCPSmzXLyZrXeQG/gIwK9te8VgZ5sXlKuhUNAe9cLh+3uNTdj/elfnGBWbch2rPGdm0vm/c+5OWxPJ9DbA/sUgW6J8iOPPLIpJuDEentabV3L9ddfb77+9a+bK6+80kxOTjYyBgHGKJb4b/7ZDwBe97rXmTe84Q1m9erVCy2q6l+mCIhAX6aKW8piKwhZytqZWbYj3/+FmTPVc5RWYdbq+jIkOoR0zHRXIN9AdxHSDh/aAmk9qRKkbSn2U7kfn8D0XArbTrl4HWbGrUGd+UoG0kq1FKZVMW1iEoPEch7rCyvz8UozMvebdC/i3ZXD/tVIfaUitl2rkLsHqyTNylgk6SkMUAKyAeeQfMxODNmg6upF/Xvk9APrsxWb3BZnchnErFL1QK/FUhrSKiXUdaYL6+vvQvve2DcG9eW8KrXlso/ylGuYNlLqgvITJdR1sYx9ccmD911Z7Ivn8Otj2RXurDM7892QPD6KcgdltLFUL8pjyEZddYL0j9msHW457E+6H+0s8FGe2ji2w8avITaa2Nm2ykjGtSGqCdJk4ZDCjAEZ606VXEdP3rE0xHZCsUlxh5RnfiLIoIzZQdRLdw794CTxb+Vx4m/zOH5DsQmOtIvMVxOf17s/jvX9BneCZoeLODZG8jg2wmmC2P2avjzUuZOUZ09PTEzkoKw/jPNWdhjHQWl/1IuptZg7yLhmJu6UydWek1hnegJLe0Qc9uZoQET00FVHpszcHrFvNgZZ2Sqq2uR24lgduvEv2MFaiyu8U8SeS8SXTRawTjI5BoUWYOxW2l2/BuoLerCD20/imxJ+CoFcf/WjKGMe5a6N4thySdsTzz0M6ksViI+54S4cB0ViUMYYN4M+xR0aRCwGMRZ18vHmzlSBYALHb23nKOLQIQLdOGSAzKdtVl+r+W0+7cxjcnWz6AdbVef0oG92hnBxNH7UWqhich2J6fqwJZ+EGMx3lFehLTuDODeGLSSMrXvJ3NqTwbFQJuugkUnEpkbmhCqJO6qTpNNWbnY9OlljBmwtk3DeMdmkk38Lq2AxDwkeHHZqu9WcuVtTrKxLYjqXtMHWkuH8xuQm5dk6gSHBvi/wSf98FseS2Ma2USvhmHFHcc5Lj6ChVHtRIq+AnWbxhMOXZdBtsm0Q5mF1MszYWHfJkscrk7U2GRtdO3AfwyNzXnENj4N9D/Gp9DBDIb0hBuCgOHQQsTfQXfIuemgTWZSn3I9pZAlNY7qkcSLzoVae2/7t/HnMPiq6GAho77pzqItA7xzWnWhpYGDATExMmGuvvdaceuqpjSZbnUxfKJn+67/+y3ziE58wf/rTn6IQtynQOfDAA826devM0NCQWbVqlSkUCmZ4eNjs3LnT/PnPfw7ln/pZUj2bzZq/+7u/Mx/4wAd0Kn2hFLaM6xWBvoyVt1RFVxCyVDWTTC4R6DFOItDrWIhAbxiFCPQIChHosZ8QgV7HQgR6wyjYxwAi0JtikIREhgj0CDMR6E22IwI9AqNT5LII9GkXTyLQI3hEoDeZiQj0yEWRkSMCffq9GBHo9TUmIctFoCfbx1Ou2SOgvevZYzbXEiLQ54rc0ix3wgknmFtuucWceeaZ5lvf+pbp7e0NBZ0i0O+66y5z+OGHL5jwv/zlL815550XXhU/RZrba9nPOussc+KJJ5rjjz/eDA7iR81TAtkylnS3173/7Gc/Mz/4wQ9MPp8Pr6XPZDLmHe94h/nQhz7U6NeCdUQVLxsERKAvG1UtH0EVhCwfXTFJRaDHqIhAr2MhAr1hFCLQ65sbOoHesAkR6HUoRKA3bEIEeh0KnUBv2IROoEdQ6AR6HGPqBPoM66VOfSSwmxg6gR4DohPoM8Q3zIRFoIeoiECPjUMn0CMsdAJ9ee8RrlTptXfdOc02Y/2JX5xoVm1IfuPPfKXcubloPvic34TV6Ar3+aIZlf/iF79ozj///JBw9jzPrF+/3qTTafPwww+HaRs3bgz/ezY/W+7BBx9MVMQS9fZnT5efe+655jWvec0uV8knqqQpkz2dbkn0r33ta8ZeB29l+chHPhKS6PoJgTCOCdiDAMJGCMwDAQUh8wBvCRQVgR4rQQR6HQsR6A2jEIEeQaET6LGfEIFex0IEesMoRKDXoRCB3rAJEegRFCLQ47lDBPoMix4R6CFAusK9yU50hXsIhq5wj21CV7hHWLDnaHSFe2wnusJ9CWwyLlERtHfdOcWIQO8c1p1oyfd988pXvtJ85zvfaVtzlrSu1ZK992GvZn/3u99t3v72t5uenp62yWAr+s1vfmM+9rGPmZNOOkkEeluRXd6ViUBf3vpbktIrCFmSakkslAj0GCoR6HUsRKA3jEIEegSFCPTYT4hAr2MhAr1hFCLQ61CIQG/YhAj0CAoR6PHcIQJ9hqWJCPQQIBHoTXYiAj0EQwR6bBMi0CMsRKDHNqE30BNv+ymjMUZ7150zg2asP/bzkzp+Av3Dz70p7KxOoLdX5zfddJO57rrrzKZNm0ypVDKXX355eHr7xS9+8bRXqLeS4rLLLkskoD0x3tXVlSjvXDN1oo25yqZynUdABHrnMV/xLSoIWd4qfvLHvwAdqPSxi9iM8bvx6zBvoAzl1w5OQFrKw7L79o5AvrEyXu0zUsKJMpeqUOBHiixvFfJ6rg9pWQ/z5UjaeDkLZXfk8Ss4z8M2CiV+rQ17J46V784h3lVCWrgu1+HugpcrHvTF98mOlTGm9Dj2MSBXFxpGrPEqUYfExtJdqOtMBnVVKqWoTfT2lCC9N4tpk+UM5BvPoz1WCthOpgdlXN2Xh/o29IxDGvtww2aqkt2RySraT76CcldqqNedE91E16jAdBrHajrFvwwNkpmZGR/HcemPoNzsDsjchkmUmxheeTu24VSYgRoT9GB/HNLvwCflJ4mdJR0HrL4s+olWPIJTIQOJjfUMqbOGQjoltjtNhhGHkU9+LC+KYxwiT8D60kf8d4bYI7EJh/j5apH7CUP0yuzHITr0UzgQcnvh+B/sKQBmw2RcdmXRz9uClSqO6yoZ62y8srLMvtlcxOyRlXUJDlbuGvGZTh774hXQeFITmJZBN2o8dOnG5WECxgMl7sjYBjUz+gC7YmoZ0pcitjN4H9qE96eHoZmgUKTjLSBf7bM0VtjrwTmBlXWHVmFxB/tXevIGyLfzUIyXbCaXmPiaK/6Avr6A+LC+OCmcG731ayFrbcs2xLaa0FC4xzPsCnD2VrapoC+j+iuhMSfVaQsRLQMHf3Jc1GHgk7FAHIDbjbbjEnsy7IQI6Z8VLhjHtYMhduZ0k82zLMYTtce34Fg/YF9Iq67rx3zjfLw5FZx7qoOIRXE9xo75DegoaiQMqmJ1pjyAmq30k3mwF23MlvRITNDdjXbWQ+aeAwd2kBgM7WmYrNW6yVrtoZ1DUN/YTtJpY0yuFx2FS+b1UpHov4R4BywOovNWwuC2BblNfRSJb2iMyUIwUtbxUEaHrL8CulAzhq0xGVGfNPxjiLG2WZ9brSVqZaJDtkYlsaxLYgwWT7Alq0emHZqPxB3h/EamFJ+Enix2yA0jkr6HWnBryfIZokC3mjzmqXYlswD20aDD3BGpjsVa6UkuI4utquRW6BoJPdiV8i6RsUoONraKJ+/87Pktp139YWkioL3rzulFBHrnsF7MlqbeQL/zzjvNEUccsZiiqG0h0FYERKC3FU5VZhFQELK87UAEeqw/EegRFiLQY5sQgR5hIQK9yc+LQJ9+0hOBHuIjAj02ExHoERYpEegNoxCBHkEhAj32EyLQIyxEoMc2IQI9woIS2yLQY0MRgR6t3wnRLgI9NhMR6NMv3/aUv2rvunOaFoHeOawXsyUR6IuJvtpeSAREoC8kunto3QpClrfiRaDH+hOBHmEhAj22CRHoERYi0Jv8vAj06Sc9EeghPiLQYzMRgR5hIQI9tgkR6BEWItBjmxCBHmEhAj22CRHoERYi0Jv8hE6gh2DoBHpsEzqBPv2yTH/dFQHtXXfOIpqx/sjPTzaDG8h1EQskzsjmovnIc/83rF1XuC8QyKpWCKxwBESgr3AFL0b3FIQsBurta1MEeoylCPQICxHosU2IQI+wEIHe5HNFoE8/AYlAD/ERgR6biQj0CAsR6LFNiECPsBCBHtuECPQICxHosU2IQI+wEIHe5CdEoIdgiECPbUIE+vTLMv11VwS0d905ixCB3jms1VKMwPj4uHnooYeM/d8aeepsd6ye9axnCT4hQBEQgS7DaDsCCkLaDmlHKxSBHsMtAj3CQgR6UwCmN9BDMESgN7llEejTz1Ei0EN8RKDHZiICPcJCBHpsEyLQIyxEoMc2IQI9wkIEemwTItAjLESgN/kJEeghGCLQY5sQgd7RrcNl35j2rjunwmasP3z9KR0/gf6xU28MO6sT6J3TuSWsv//975vrrrvO3HXXXWZ4eDhsfGhoyBx11FHmtNNOMy95yUuM53ltF+qrX/2q+dKXvmTuuOOOxHU7jmOq1Wri/Mq4ZyEgAn3P0ndHeqsgpCMwL1gjT/rMF6Duyqoaby+L6QNrJiCvQwiU/lwR8vkBZkw5PuQrVtOQlvK4jKx8NXCh/HgxC2kDXSijawLIN1nJQNpevWOQtrPUBWljRX51UYb0p0bwYfnyJZQnIGV7cyWQh300UKqlqP4ff3Q16pq8O2ccxCyxAaOqjCHv/BG1GJNF27Ht5vqw3/3dqOtcugJilquIhUP6V6igje7dNwr1Mf0NZiYpPMUa1ln1MdgcJna2Pd+DdltAm3c9xKxSwj6n0ny8eaS866L+J7Z3gzzuJPbF70J5ckMF9FFERn8Mx4EhsoSVpRLaaArlCUoot1MjTo+07fWXEQeSr1LkY9AUse2AvYPJ+seGR4EsXtgYbIVj0oHtE3yISTkkX5AhghP/FqQxn0P0xzaibTcCsikblBEMp0L6wvDOYQcz3ehj2Mcprea30R29iDiR0ZC52iVYeASzgAyNKrPHGmLj5vgClI3N1CjaXhrDCZPBqdUw8tVFaE2qhJ1J59FOUnnu3yp9OA69EpZ3y5g2vh/6ozW/H8HxvxXT/G3bMV4qo+9IOvxa5UutXwd/mjjhAEgrrCF+gthJbifikN+Lb5CsuZ3MezeRDY+Az+vz7fuKKO8wZ22M14PzLSXqE9qU24WxrH/kQQDh5hPRP5GQ3rCxGk7LBTQqP4X+lhFHHhkeTg3ry4ziWC+uwXHO/ISVMTNCfBxRQy2NiaVVOBbKvZjPx9DPTG5Ei6324tjwVxFHaOUmc89gD8ZWLA7euwdj2ZyH7bCYtSeFiimQ2PbxfD8dkjtILFssIUA1Mh/5FcQ2YLFIYmfAvg605PbcfRRbqzFx2PxNSfX5rL8sKZvwXXWGBIuq6feUJH7zWQxt4zKS15C0WpnMM3lMc2lMh4h7ZZScicLe1A59GS4xDVu3ejgEDfVlxMSYb2XyOD5qxm2xzVPNkn6T5Qhrm2y10JHF8lFsWwwrl7hg5jMZqc4EYnjTsny6NX/89PmJPYgyLg0EtHfdOT2IQO8c1kuhpauvvtqce+65ZtOmTQ1xgvrGgiWqp3777LOPufTSS83zn//8tohtSfuzzjrL/PCHPwzrm2ozSeVWriSn1JPUpTwrDwER6CtPp4veIwUhi66CeQkgAj2GTwR6hIUI9NgmRKBHWIhAj21CBPocphwR6CFoItBj2xGBHmHhikCPjUIE+uycqwj0Bl4i0CMoRKDHQ0gE+uzcSTgfiUAPQROB3rTmEYFeD9b4eBKBPns/s9gltHfdOQ00Y33B9c/q+An0T556Q9hZnUBfeJ1/85vfNOecc05IXk8R2AcccIDZsGFD+N9btmwxjzzySONvruuayy+/3LzmNa+Zt3AXX3yx+Yd/+IewnvXr14dyPO1pTwtPvdt2Zvo9+9nPnimL/r6HIiACfQ9V/EJ2W0HIQqK78HWLQI8xFoEeYSECPbYJEegRFiLQmzaTdAJ99hOTCPQQMxHosemIQI+wEIHe5E5EoM/Ot4pAb+AlAj2CQgR6PIREoM/OnYTzkQj0EDQR6E1rHhHo9WCNjycR6LP3M4tdQnvXndOACPTOYb2YLVli/LDDDjOlUsn09PSY97///eZNb3qTWbdu15vOtm3bZr72ta+ZT3/602ZiYsLkcjlzzz33mP32229e4p9wwgnmd7/7nTniiCPMjTfeaFatWjWv+lRYCEwhIAJdttB2BBSEtB3SjlYoAj2GWwR6hIUI9NgmRKBHWIhAb9pMEoE++zlKBHqImQj02HREoNf3ZHUCPTYKEeiz860i0Bt4iUCPoBCBHg8hEeizcyc2twj0CDMR6E1rHhHo9WCNjycR6LP3M4tdQnvXndOACPTOYb2YLb3zne80F110kent7TU33HCDOfbYY6cV5/bbbzennHKKyefz5rzzzjOf+9zn5iV+f39/WNcVV1xhXvGKV8yrLhUWAs0IiECXPbQdAQUhbYe0oxWKQI/hFoEeYSECPbYJEegRFiLQmzaTRKDPfo4SgR5iJgI9Nh0R6PU9WRHosVGIQJ+dbxWB3sBLBHoEhQj0eAiJQJ+dO7G5RaBHmIlAb1rziECvB2t8PIlAn72fWewS2rvunAaasX7/z57T8SvcP/28X4Sd1RXuC6vzo446ytx9993mIx/5iPnQhz6UqLGPfexjYX57avyuu+5KVKZVpikC/fe///2M5P28GlLhPQ4BEeh7nMoXvsMKQhYe44VsgRLoAzXapDtQhnQv7ScSr7+3APlcE2B9LqblUhXIt7prkrY7Vs5C+kihC9K6MljnQKYI+UbLOWw7h22nHMRhS6E3UZ9tpmow8/ssNt9ECfvHgAgQRtNN+tybKUHxnFel2D6wfQ2kF0YQ26DmYHmiV4flIy0HrGyF4EWuHrTVOV3Yn4FVqMNcCvNlSNpe3eMgpR9gn3Me2liWYFsjZW0Df8kPQjvs44YdEz2Qr1pDfGpVTGObZVVCEHf14Ni3jVYqHrRdq5K0sTRqlugwsx71UiVt+OOkPmZPvdyWiesxQRnldontBARHU8SyJoM+oWcI+7ehfwyw2TreR8fg+HA3GVuY5LjYts+I/zIZR8wVOcShtPL8ZPgbRqCTqYP6hFk0vbtI1K0SvYTlWDprm/ke0r8ghR10czi3prNoo57H59XJnehv3TzaXpBmEwC2ncqhjwp84jvYeCN9dot8HnNLaBSpPBpQmqSlyFTvsmFNupyZQBwHb9uODY9NcGtO486xvxb98rbj+qE8s70N12/FuePRTZhWwHip1XCbT/rEK06E4sUh1GHC8MSs/QOJje7/CxUxqKASayMj8+nOnMs6HvHfLWoLfGJoQbI4eM4CzrKgkyLzI5OREPBuF8a8tSMPAgkm9ya+qIrYuCTNT7FJwphaGtMrvcR3FLCdzCj6t8wY+rfCeoyhJ9cQH9rCJJjvSRVJvyuY1qrfAC6BZ2IjJjpkqVbYwCfMWjeJRzai3+vL4ZqgL4trow1dGAd3kZg3X8tA9/pSWF8rE38kPwR/GiuhjY4XiV4L2HaNxJMBi0/mEXdEAhMlsjpJbOWS2IGttdk6LyDrCWcW8ZvL1lskjemLtc1ibQYNzWeMYXWytQyLb2lcTtYJLhlHThX1x5ZqbAxabFIF7uN2x43FQczHsHbItoNpJc/u7bI+txqDgw+gT6j0YmxU6cHYobAmGY40xmgBIes3sx+fTIMsHxsexG0Z2q4x5o+fOX+WM7SyLzYC2rvunAZEoHcO68VsaYrA/tWvfmVOOumkRKLcdNNN5uSTTw5PrY+N4V5Yokrqmex757fddpu59tprzamnnjqbosorBKZFQAS6DKTtCCgIaTukHa1QBHoMtwj0CAsR6LFNiECPsBCBHtuECPQZpigR6CFAItBjOxGBHmEhAr3Jj4pAX7BYXwR6BK0I9NjERKBHWIhAn97tiECP8BGBHtuJCPS6TbT4Tk4E+oKFMgtWsfauFwxaqLgZ6/f97DlmYAN+fLlQ0oxuLph/1gn0hYJ3l3rtu+fFYtFYUvz4449P1OZvf/tbc+KJJ5ru7u7wPfT5/C688ELzvve9L7wO/vOf//x8qlJZIbALAiLQZRBtR0BBSNsh7WiFItBjuEWgR1iIQI9tQgR6hIUI9NgmRKDPMEWJQA8BEoEe24kI9AgLEehNflQE+oLF+iLQI2hFoMcmJgI9wkIE+vRuRwR6hI8I9NhORKDXbUIE+oLFLJ2uLyIIXwAAIABJREFUWHvXnUNcBHrnsF7Mlg499FDz4IMPhm+ZWxI7yc++mW7fTj/kkEPMfffdl6RIyzylUsmccMIJ5t577zXXXHNN+L66fkKgHQiIQG8HiqpjFwQUhCxvgxCBHutPBHqEhQj02CZEoEdYiECPbUIE+gxzngj0ECAR6LGdiECPsBCB3uRHRaAv2OJBBHoErQj02MREoEdYiECf3u2IQI/wEYEe24kI9LpNiEBfsJil0xVr77pziItA7xzWi9nSW97yFvPVr37VrFu3ztx6661m48aN04pj7eK4444z27ZtM29+85vNJZdcMm/xt27dal72speZW265xbzjHe8wr371q81hhx1mcjl89mfejamCPQYBEeh7jKo711EFIZ3DeiFaEoEeoyoCPcJCBHpsEyLQIyxEoMc2IQJ9hplIBHoIkAj02E5EoEdYiEBv8qMi0BcipA/rFIEeQSsCPTYxEegRFiLQp3c7ItAjfESgx3YiAr1uEyLQFyxm6XTF2rvuHOLNWL/nulM7foX7haddH3b2scceM/vss0/nOr6HtXTXXXeZY4891gRBEJLn9hp1S2Z7nrcLErVazXz3u98173rXu8ymTZvCv//hD38wRx111LwQa27HyuA4bDOKN2HzVqvVebWvwisXARHoK1e3i9YzBSGLBn1bGhaBHsMoAj3CQgR6bBMi0CMsRKDHNiECfYapRwR6CJAI9NhORKBHWIhAb/KjItDbEsOzSkSgR6iIQI+tQwR6hIUI9Ondjgj0CB8R6LGdiECv24QI9AWLWTpdsfauO4e4CPTOYb3YLX360582F1xwQYO8HhwcNE996lPN+vXrw7TNmzeHZPnIyEhItNvfpz71KfN//+//nbforuvOuQ4rmyX29RMCdE0dTFmr8BECbUJAQUibgFykag755y9Ay5XV/Cssr7sCeYMA2ZLeviLky6Wx7FgBr1TJZTDfPv2jWF+KyzhWzkLekUIXpKU8XAmVa7t+JWcLDXVNQtnuFOkLabc3XYay1YBP8IVKOlHetIsTfJ60XaykElnU2t4JyMfqs5mKVayzXEHMGLaVKuYrTKCuHDcKqJp/gU8YuTzpX6uPDXOIWVc/2mgmjTbVTewxR/TPxoHjYF8qPuJQJrja/pcIZqydfB7HUUAW+m4KEz2S1pNDu/XJOLcyjo3i2GL6oqSzh/hQ/VfJmCkijkkJy0QDo54pqGHbQRUNzUlhX9w02l1PTwma94gvcont2IITkzhmypMZHDMVImMl4eIi6Ue7LWSk+LIxjJAZp0YaZ/lIGm2X2G1AfIwtG/SSxRPRDbVl0j8ni/W5pL5sF84npQLOB1ZGP4/p3jiOBT+NAPndKI/DTKKEid4kprENZhddR6iWFLpbkx5HjaVwujWZfItdy92Ku2Xsc89fsEJvJ2kkT9JCwcm8dfheIPjwYagX1ud137oDyvqFAo7fBVjIu13oq7ec81RUAhuCxE76HyHz5dW3Yf/KLYxiNo54MfLSwWGM4yJAwQLoq91ddjM4TzgsrRvtxN97LdpoBmMwP42GUu3BsVHpxXFlG6jmCLYka/9D6FDSD25GGSdxbDnr1+D4fTr2r9SfdCJsoSk2jli3yVzmEX+ZKmLG3E706X6ayz1yEDY+fhjOPd1DiNk+q0agk/0ZjGVWZ/KQb1upF9KqPtpJyuV+PkPWPGMVjINSDpZ/fKIf2h4n8XKliLZM1x2tTILFGSRONCyWSaPc6S70rSx2qJL1FyPAfRZ/hUEPiROJHlidSf1T0rVRq/pY+WqZxP8kVjcklgnIuoO17bB4mejUZXo2xngFxNbDoWWIeRu2TdC1DaXs3YR2UhwiTobYXcBdsOneQub1+3eQOAH7V9mA423bsTifVMltugHbsmgx3hyy/UOGPzcp5m/RDZoaD8FpnXddeH7S4aB8SwQB7V13ThHNWL/z2tM6fgL986dfF3ZWJ9A7o/MvfelL5r3vfa+ZnIzW1bufBJ+iIru7u82FF15o3va2t7VFsI9+9KPzquef/umf5lVehVcuAjqBvnJ1u2g9UxCyaNC3pWER6DGMItAjLESgxzYhAj3CQgR6bBMi0OtYiECPjUIEeoiFCPTYJESg1+cOEehtidXnW4kI9AhBEeixJYlAj7AQgR7bhCMCPfITItAbRtEtAn3a6VcE+nyjk86X19515zAXgd45rJdKS9u3bzeXXXaZue6664y92n14eDgUbWhoKLyq/bTTTjPnnHOOWbMGP2hdKn2QHEJgCgER6LKFtiOgIKTtkHa0QhHoMdwi0CMsRKDHNiECPcJCBHpsEyLQ61iIQI+NQgR6iIUI9NgkRKDX5w4R6B2N6Vs1JgI9QkYEemwhItAjLESgxzYhAr3uJ0SgN4xCBPr0U7gI9CUR4sxKCO1dzwqueWVuxvr8a083/RvwVop5NTBN4bHNBfOF068Nc+gE+kKhrHqFwMpGQAT6ytbvovROQciiwN62RkWgx1CKQI+wEIEe24QI9AgLEeixTYhAr2MhAj02ChHoIRYi0GOTEIFenztEoLctXp9PRSLQI/REoMdWJAI9wkIEemwTItDrfkIEesMoRKBPP/OKQJ9PZLI4ZbV33TncRaB3Dmu1JASEQPsREIHefkz3+BoVhCxvExCBHutPBHqEhQj02CZEoNdJEL2B3jAKEeh1KESgx45CBHqIhQj02CREoNfnDhHoS2KRIAK9TozpDfSGPYpAj6AQgR67KBHodT8hAr1hFCLQp5/CRaAviRBnVkJo73pWcM0rswj0ecGnwkJACCwyAiLQF1kBK7F5BSHLW6sH/79PQQeCgPfJL3nwh+7BAqRl0jVImyxmII1tWnT3liDfQUM7IG20nKNCFsppSHcczNqTwXaKVSxb813sc7oMaQf2o4wTFZRxrJLlcpO2KzXE2yPv05UqKaizWGE4tFDsbqWDFmRpJl2FdlyDdXoupg1PdEPZ8gTahJPy0R5rqANTQGxajkQij9dXgewesVuXkITpFNo3O6FdJXJXK0SnHvbZCucTUo710fWS6ZXJXSMyDvbgmC4QG7OyjG7rQ5FIfxwio0OwZbbnEP35BEe28ZfrwbFqBc5m0JbLpM5yGcdWtYhpbhp16BFb9gneKSILy9fKvqtltKlgHMe/YWZGfKNhaazxpPlCYyYVMLMlvsfhwwMrTChPkG1RYRbHtcv8EZExYAQ6sdugSnwZKzvB/ZtbwU4GJKufI31kfnAcCzukDfathINwGZZmFeWiuzVd21GF2RGUOzOBaT7pM7MTp4pGlt2Jc79bIALa06olTH/8+etwjiK217UD2x783u1Ytszbbjmf7fYHJ0PG+mEHYjtpBC2/N16lmCqROX0SlZ3ZPA5t1O55AMUOkg7gpD3uTD4nRXA1xgTV+elrd+kdj/hvnzhHgmMrGd0cxplOXy/axGA/gknsxNRIzNODbRTXoT0Vh0j/iBu0gtAxTPxMdhQTe+4hDqVQhP75G4YgbeQwjGN8nOajcmSsB6Q/AVl4MF/NyvoYGhsPu2JyO3FsucTnhXITkxrfl/kENInqeoyj9tprJ2TsJeuq0SLaRKmK7R4wiPXZBvbrxvQaUUKaTD75GtrojlIPyJ3zcEw/NjGI/o2sB22msQKu9SZ24JrHKaOhBClUTKo3mY+ha3XmOlqs6ZgnZesJj6x5aJyYbCliWJzfat+B5a2VyOCskdiIyOOQfKaKZd0S6or5p1ovcVA25ilieW+yhePbTREeLsHMvj+bBHW5eRyX+YOYL8P+Vbp5wNy9FddGua0okFPEtmt9ONbHD8JxML4Ptu2T6bbVB5ksnvTJ1gornyLYdm9FHVa7UFdujRv4TVe8qzNBiVppGwLau24blDNW1Iz1O655fsevcP/XM34ayqgr3GdU1YrJEASBue2228ztt99u7HvshULB2LTpfh/+8IdXTP/VkfYiIAK9vXiqNmOMgpDlbQYi0GP9iUCPsBCBHtuECPQICxHosU2IQK9jkZCwDnOLQI98qwj0xkASgV6fb0WgL8kgWgR6k1pEoMdgiEAPsRCBHpuECPQ6FiLQG0YhAj2CQgT6kgxv9nihtHfdORMQgd45rNWSMZdffrn56Ec/ah555JFZwVEj65xZVaDMKxYBEegrVrWL1zEFIYuHfTtaFoEeoygCvb6hrxPo8SaITqCHWIhAj/2ECPQ6FiLQG0ahE+gRFDqBHvsJnUCfIlV0An26WF0n0GN0dAI9wkIn0GOb0An01t5DJ9CbsNEJ9BAMnUCPbUIn0NuxS7gy69Dedef02oz131/zAtO/Hm+qWChpxrYUzL+dcXVYvU6gLxTKS6feCy64wHzmM5+Z8bR5uF/hOLvk8/3luVZdOuivXElEoK9c3S5azxSELBr0bWlYBHoMowj0CAudQG9agItAD8EQgR7bhAj0OhYi0BtGIQI9gkIEeuwnRKDXsdAV7tPG6iLQY3hEoEdYiECPbUIEemv3IQK9CRsR6CEYItCb1u/kBS9d4d6WrcNlX4n2rjunQhHoncN6T27p5ptvNieddFJIjJ922mnmwgsvNJYU/6u/+qswrVqtmp07d5pbbrnFfPnLXzY/+MEPzDOf+Uzz7W9/26xfv35Phk59nwEBEegykbYjoCCk7ZB2tEIR6DHcItAjLESgNy3ARaCHYIhAj21CBHodCxHoDaMQgR5BIQI99hMi0OtYiECfNqYXgR7DIwI9wkIEemwTItBbuw8R6E3YiEAPwRCB3rR+F4He0f3E5dSY9q47py0R6J3Dek9u6fWvf735xje+YQ444ABz3333mVQqZf74xz+ao48+OiTQd7+i3ZLob3/7280xxxxjLPmeyWT2ZPjU92kQEIEu82g7AgpC2g5pRys89Lsfh/bYu882Uy5bgbx7941CWm8aVy3371wD+YZ39ELawKo8pB22ehuWLfErgLZOYJ2em+xhtpSL17ewDYrDhraCPFmvCmmbJgcg7Ynxfqrf3mwJ0mu+m0g37P09n1zD7vvIeJVLaWgjQ/RsM/XmUMaeDOq6VEtBnVu2Y7/9iof9S9cgzS9jPlNBbFrcPG8M0b+bwXbYhwMeyeelyDU/xMRYfa6HZSslxMuC4JM+uqTt3r4iYJZLoz0WyqjrGrGJDNFBmejKNjo5kuwqLoY364tfQ72miDyVImLGSMyuPrRZK3d3Du22QMZCYSIL2AZkXKZy6Bu7SFqlirZcKqBeArIZaAXxMsRHEXP0xxIuBHrQThwyXoJJYqPEdqyMgYeDgREjAaraOFXCyjOinnzYYpg8zPfnWl3TRQbxOOqG+pMSsdtJFNzDoWpSkzgl1Fqor5bDvAFRTbWL9IXoxRA784ooN9OfIU246FZDgdlVmukJ7EvP5mRXqPlplDE1iWXL/aiXrm1o8+V+MscYY3oeR//hTWBa/oA+6Ezfb/D9tdq2HTjndaFSH3vb0ZCvaxuPY9betB3nzEc3YVoBjc8lbZsq8QldxM97iK0/hkp1XP6ljV9GH+yydsi7dA7Z6PALBfTVSd+0c0islW4xLxO5aVCXMNHNkkHNyhK83Z5u3ko30RfpY9CP5Z0CYR2I7ZQPxhMbI09iDgpF9CrcltkHOGyeMMSk0nmsM5VHh1TtwbFe7cIKfa5+w+LMgNg462Mtg+2w/gXEHbWSZ3d0XQxFwiz9j+G4To9hZtaX/N4YB+U3EMzIdJnfF3XgDGC7xx7wF2rLq7O4JmQZ12fGIDnrYp9Z2QoBvEC+YqiQ2M/Wt7WE/v/3m/aFpmqP9KBfTqPdBgMot5siaxYS87A4uKUrIuPIS+M86pG2aZ2kPiYPW1f7VRIQ2nUQWRPQQcgCEuIoHLIGY31xdmAQ5pawg9WBFkEPq5TEt14B++2Rdob+iHoprsKyFTQx070VbayW5fMy88FeGcuztDSJwcb3Rkea34jgsJPhreyWrh3IlMJi69V34fzmFXG8MT9YWs0D8199990JZ3tlWyoIaO+6c5poxvpt1/wf07++Rdy6ACKNbZk0Xz7jJ2HNusJ9AQBeQlUeeuih5sEHHzSf+9znzHnnnRdKNh2Bbv9+9tlnm+9973u7lFlCXZIoSwQBEehLRBErSQwFIctbmyLQY/2JQI+wEIEe24QI9AgLEeixTYhAr2MhAr1hFK4I9BALEeixnxCBHmEhAn36NYII9BgfEegRFiLQY5sQgR5hIQK9yY/Sr6XZRznkY0AR6CGQItCb1vki0Jf3RuYcpNfe9RxAm2ORlUyg33rrrebqq682N954o7nrrrvM1q1bTTqdNhs3bjTPeMYzzBvf+EZzyimnTIvcf/zHf5hzzjknEbqXXXaZsSetp/tNTk6aiy++OLya/IEHHjDlctnsu+++5q//+q/NO97xDrPffvslamu5Zerr6zO271Yfp59+eij+3XffbY488sjwBHqxWAx10/y78sorzUte8hJzwgknmJtuumm5dVnydggBEejzAPq9731v+J7C1O/nP/+5ec5znrNLjQ8//LA58MADZ9XK/vvvb2y5ufzsNRWPPIKnXHavaz5tzCSXgpCZEFrafxeBHutHBHqEhQj02CZEoEdYiECPbUIEeh0LEegNoxCBHkEhAj32EyLQIyxEoE+/BhCBHuMjAj3CQgR6bBMi0Otzq06gNwXh7PS0CHQLkE6gN+3pkNuddAJ9ae9Jdko67V13CmljmrF+609faPo6eAJ9fMukueT5Pw472+4T6M9+9rPNDTfcMCOQr33ta83Xvva1lleEt5NAtyewLVF+7733UrkGBgbMFVdcYV74whfOKPdyy5DL5UylUjH2owZ7LfuUzi0HZgl0q3/7YUPz7w9/+IN52tOeZlavXm22bcPbbpcbBpJ3YRAQgT5HXG+//XZz3HHHmWrT1YbtItDPOOMM89Of/nROkolAnxNsKtSEgAj0psWWrnAPwRCBHtuECPQICxHoTXt3usI9AkMEesMoRKBHUIhAj/2ECPQICxHo0y85RKDH+IhAj7AQgR7bhAj0+twqAr0pCBeBbsHQFe5Nc4eucNfe5iwQEIE+C7DmmXWlEuiHHHJIeGW4JWXtVeD2pLk93W3f2ranme1V4ps2Rc9pvepVrwqJa/ZrJtAtH7Q7ydtcZp999jGDg4O0nomJCfP0pz/d3HPPPeHf3/zmN5tXvvKVpqury1jO6tOf/rSxebq7u0P5nvKUp8xTs7sWd13X2H933HGHOeKIIxLVbfF70pOeFJZr5tgSFd4tkz1l//jjj5tf/OIXjVP/9vR9T0+P8X3fXHPNNeZ5z3veLqV+/OMfmzPPPDP8uMGeUNdPCDAERKDPwS7soDvxxBPN7373O7Nu3brweg77YwS6/fKl1Vc/zU1bJzblSL/1rW+ZV7/61XOQzJgpAv1v/uZvzCc+8YmWdVjHYN+GWIifgpCFQLVzdYpAj7HWCfQICxHosU2IQI+wEIEe24ROoNexEIHeMAoR6BEUItBjPyECPcJCBPr08bwI9BgfEegRFiLQY5sQgV6fW0WgNwXhItAtGCLQm+YOEeid2zhcAS1p77pzSmzG+tyfntnxE+iXPv+qsLPtPoFuidfXve515qyzzjKe5wGg27dvNyeffLK57777wr/Z0+rsOvdmAv2hhx4KuZ25/D7ykY+Yj370o2HRf/mXfzHvec97dqnGkubPetazQqL6uc99rrn++uvn0kzLMpYEtye977zzzlkT6Lac/fBgPr8XvOAF5tprrzWXXHJJ+PHA1O/YY48NZbLX6V966aW7NPGa17zG/Od//meI+Z///Of5NK+yKxgBEehzUO5FF11kzj//fHPYYYeZl770peEXPPbHCPQk1VsHYb9Qsl/J2PcaNm/eHH4NNJffFIH+d3/3d8Y64MX4KQhZDNTb1+bRV/4TVJYmC3WbqT+LX2ft37cTyvvkfbK/5Acg30QpC2m92RKkrcnhPVzdqTIF4b6RtZBerbmQNjrZBWndOaxz775RyLeua5z0Gdt4fLIf8u2Y7KFyd2ew7ZTjYzsGNw62jPZBPo+cpi+XU5DPIfsQjsuuwjMmIIRZitgKs59KFYNLJo9L2vZJu0ENBXdTiJftsF9F3fjEJjLdlUQ2wfrC0pgOmPJrRBabr1Ik+vJQN729OC6ZDorlXd/+sW2USthGOo1BbEDfHDSmOIFj2CXlu7qJfXvYTqGUSeSPmO0wvHr6+Relq3vz0M4I8QmFIspTLaEtZ4ntZDNoT+UK4l2pYH2tPHy1gDo0ZbTvgNhJqrsK1Q4OIA7MX/rk1P3EeI6KGVRQHkPGtZcliyViZzWCNz39XsR2nSr6iSDD/RvrjDeOdXolrDONU4Lp2YztZEfRR3X/BXXgVPhCsjKE89aOI1APNTRbY4hahv6ENlpcgzZazWKfyzi9mewox9ZPY/nMOObt2orypEcwJvC2Ytxh/GR6DSbJvZ57r6e27GwdhvQgT8qTzZPaGDGKAPXvkLLuoQfj3N/Px5v3GF47549g3OKzfjvEKAgSXg+uUZxutEXuELheqtu2Q3Y3wwyX1JpCG2X9c1LEXxIdeEOrsBEWHNl4YnwCbaKM81tANoPcLoIZacdxiV5Yvr5ePlWkER9TQ9urbRxqNdXsku5nsb7x/dEeSchqTID6Z/7ANsjK14gKmdCtPt5J0kEW3jASO6wr2U3RtC++xwJulDAg6qdpJHRoJXdmDAUfeJDEjluJ3xonccJ+60Dwx0/B9U1hIwFsLbb79AMfparqS2PeNRkcg90ujkGfrJdGqzgGqz4CmZqFQbE1710je0F/HvntvpBW68ZxGQxgrJbY8NgyiPHNVhIWl6XJHEXWk2ytRuCmYtM1HYkxw+FGzIevW1Fuj6wJ2bqsWkP9Vx7HOS/IEXBzPFZjcbBD1q0sfqemR9bB7IMjFvPS+lqFSyTdxbDMMF17ZLnFfDrztxXcIjLVrmQxXau5IzuMhr/2D9gZt4rtpPJk/TaE613b9i9/uCtRlWTOUZ7FRUB7153Df6US6EkQvOqqq8yLXvSiMKt9f/yLX/wiFGsHgW4PcNpDniMjI+bwww8P32O3hPbuv7e+9a3mK1/5Sph8yy23hNeXt+s3FwLdvtFuD3i24wT6Jz/5SfOhD30oPHXffNrf8nYXXHBB2MYHPvAB84pXvCJ8K/3yyy83X/rSl0LS3+Ji343XTwgwBESgz9Iu7NdK9hoKe+WFJczttRBTX/fMlUC313PYr2Ts75xzzjH//u//Pkup4uwi0OcMnQrWERCBHpuCCPQICxHo09uECPQYHxHoERYi0GObEIEeYSECPbYJEeh1LESgN4xCBHodChHoDZsQgR5BIQI9njtEoE9hkfDLDRHoDeMRgR5BIQI99ici0LX9aREQgd45O9iTCXTLH9nDkvZn3ya3hPruv3YQ6PbktX0S2P4+85nPmPe9731Uwb/5zW/MSSedFP7NksmWdG7Xby4E+s033xzKYzEaHcUPv2cj2x//+Edz9NFHm97e3nB89/dHX/lbsvyoo44yDz/8cEiWN/+CIDBDQ0PmtttuM/Z6fP2EAENABPos7cJ+NWSd3dQJ7+brMeZKoNvrIqa+jLGE/LOf/exZShVnF4E+Z+hUsI6ACPTYFESgR1iIQJ/eJkSgx/iIQI+wEIEe24QI9AgLEeixTYhAr2MhAr1hFCLQ61CIQG/YhAj0CAoR6PHcIQJ9CgsR6FNI6AR6fa1ODr/rBHrsO3QCXVudrRAQgd4522jG+o1Xv6jjV7h//QU/DDvb7ivckyA4PDxsVq9eHWa1nNKVV14JxdpBoH/4wx82H//4x8O67VXt9ulh9rPXt9s31PP5fHid+y9/+csk3UiUZ4pAt6ff7Sn4mX5Whre85S0hJ2avWb/11ltnKjLj321/bB+f+tSnhsT41O+RRx4xf/u3f2v+93//d5c6LLH+zW9+0xxzzDEz1q0Mey4CItBnofv//u//Dq95sAPwnnvuMWvXrjXzJdDHx8fNhg0bwq9h9t9/f2Pfutj9a5hZiNh4A11XuM8GNeVtRkAEeoyGCPQICxHo09uECPQYHxHoERYi0GObEIEeYSECPbYJEeh1LESgN4xCBHodChHoDZsQgR5BIQI9njtEoE9hIQJ9CgkR6PW1ugj0aecOEeja72yFgAj0ztnGnkyg/8///I952cteFoJt3yS3b5Pv/msm0O2hyrvvvtvs3LkzPEF9yCGHmNNOO8287W1vM3vvvXdLpZ199tnmO9/5Tvh3W9aS5K1+liy+4447Ql5r69atczaEgw46aJeyUye8N27caNLp6d9eKpVKYdu+H12Z88EPfrBxw/OcBUpQ8N577zX2pLol2Z/0pCeFRLt+QmAmBESgz4RQ/e9Tb0jY98m/+tWvmje96U3hX+ZLoF922WXmDW94Q1iXfafhYx/7WEKJeLapE+gHHnhgeGXFgw8+aOx1FOvXrzfHH3+8edWrXmX+5m/+Zl4k/UwCKgiZCaGl/XcR6LF+RKBHWIhAn94mRKDH+IhAj7AQgR7bhAj0CAsR6LFNiECvYyECvWEUItDrUIhAb9iECPQIChHo8dwhAn0KCxHoU0iIQK+v1UWgTzt3iEBf2vuPiymd9q47h34z1uf85MUdP4F+2f+JTn3/9re/NXvttde0HW/nNd6WHLbXk9t27e93v/udOe6446D9ZgK9lXC5XM5cdNFF4Ylt9rMnzu116D09PeGzw9P9zjzzTPOjH/0ozFIsFk02m52TMbA31udSkZXdXkFvZddPCCxFBESgJ9TKueeeGxLnz3jGM8yvfvWrBgE9XwL9uc99bviOuv3df//94ZdF8/lNEejT1XHyySeb//qv/5r2y6XpytuJb7rfE088EZL19rcY16PMBz+VNeaw7+FHHK7LHlEzpjdXBshWd+chbV1u+sl7qsBEFSftYjUF9ZV9L7GqKjXMmy9noPzoZBekDfYUIO3Jq/DrvKxRktHOAAAgAElEQVRXhXzjlRykDZewjarv0r5s6B6H9Mkqyp0iunl0FL80zJewbHES06gwuz4R08jiV1B2RranuxAf1k7gY0NdxMZKFbSJXKYCVQYBF5ylF4r4dWRXDutc3YP2PVZCXTNS3fNwHLkOboJNFrlefIJPNoPY1ki+dAp3Vtim00Qex2A2i21UKnwMMhl7ukugmyyRh42FjIdyl8mYZpj5RP/ZNLdFppvxCdSr66K+amQcMFsOajhesn2IzcZBfPdp+0QvHZrjm6K3tHb5MZeSIztrpMau/iKk1oiPWtuPPn37OF/slLZ0o4iDOHek0igjw5vptVbFTlfzOKbdSbRbt9zCT6RQ124B23HRTZjuLQhu91Yc/72PoD9x730UdTCbt8AclDG1Jr66bKryoEwEr3/93SyA04825q9fBTJWVuF4yTyO85gt6Ixjv41L9FBAewxYWoWMa0JO+wnzGYKhldvNkY2FGtu1Rh0EVTJHsbIJoxvH4z7YWxNdD9j88zeswfnxrnsxLWFfvB4c08GTD4D6Jg5Av9V/82O0h9VNT2A60WFCeOyXf5A1tQ5x8MfRl7l7rccxuIr7YLdMbO9R7EtQQl9vfPQxAdMBwcHtwnjSIboPO5IitlJFu61uwNixMoDxiJ/BsVoawDa8IvYvVUI/WO7lcXCNtBOQrngEWtMiboXpsoIyOsmmy7CqAMNRU+lO1rjvYT720QAj0Fn/GDa0rJWbiUjS1tyJPjhz7+PoY9bhHLPlZLIWIc9KDh6zDeo7ag3xB8aYwTSuy5L6hDxZY943uhaKT1bQ5tnadmue+wS2xhjejnndYTK2sjg+ApLmkPjEGEKqk/VAS7w8LO9lksVlLlnfeGR9yuJJhpdD1kaRK+P7Ebv3KSBQtFoT7l62XMZB7ZMYk+HIYv8wH9MD+waCuMKgjIleHh1hQNYnAdGpU8OB7pa4z2JqYNfCMyxyOzC1iOGJSZEhXVpNwGlhE8yXOWwdPIp9HLob7Skzijaf3U5i0QyPwa791QVJXZLyLREERKB3ThFLhUBP0mN7CLFdv8997nPm3e9+d1jdS1/6UvO9732PVm0JdHv9uj2pbgn3fffdN8z35z//2Xz3u98NT5ZPyfWVr3zFWI5q99+RRx5p/vSnP4UHKO3hz+l+9nZle8uy/W3fvr1xxfxs+33OOefsUuTyyy8P+bIXv/jF056At3nsBwH2YwbLs5166qkLetBztv1SfiGwOwIi0BPYhCXM7bsQnueF7zEcffTRjVLzIdAfffTR8Mp16wStw9j9HYYEokGWQw89NHxn4owzzjD2HYeBgQFjT8/b9y++/OUvh4S2/dk8Ns3+fba/2VwxLwJ9tugufn4R6LEORKDXsRCB3jAKEegRFCLQYz8hAj3CQgR6bBMi0CMsRKDHNiECPcJCBHpTnC8CPQRDBHpsEyLQIyxEoDfNHSLQG2CIQI+gEIHeND7IHoUI9MXfT1xOEohA75y29kQC3b7Fba9et1eFr1u3Lrwy3ZLb7Dc6Ohpe196Kb7nqqqtCcr1SqZju7u7wtmH7HHDz7+CDDw4Jd0u+W75put/rXve68N1v+2snbzP1Bvqdd95pjjjiiM4ZWIuWLB6W+7IfFNink+01+GvW4EfViy6oBFjyCIhAn0FF5XLZHHvsseH7E+ytivkQ6J/61KfMBRdEXylecsklLa/hmI0VWbK81TsX9r31l7/85eaaa64Jqzz//PPN5z//+dlUH+YVgT5ryJZVARHosbpEoNexEIHeMAoR6BEUItBjPyECPcJCBHpsEyLQIyxEoMc2IQI9wkIEetOSQAR6CIYI9NgmRKBHWIhAb5o7RKA3wBCBHkEhAr1pfIhAX1b7jEtRWBHondNKM9av//FLTO96vNFqoaSZ2DJp/uOF3w+r79QV7vaN7VNOOSV8i9xej/7Tn/7U2LfN5/P75Cc/Gb4Tbn+f+MQnGnzSVJ2LcQJ99/589KMfDZPe/va3LypR/Yc//MGcd9554Q3Szb/dif2LL744fHfdHi61p/dnerd9PvpT2eWNgAj0GfQ3RZDvt99+4WDa/T2G+RDo9hT4PffcEzpT+zVMK+K7nSZmv2qyXyXt2LEj7Mvw8LDJZBJe41wXRFe4t1MjS68uEeixTkSg17EQgd4wChHoERQi0GM/IQI9wkIEemwTItAjLESgxzYhAj3CQgR6U9wvAj0EQwR6bBMi0CMsRKA3zR0i0BtgiECPoBCB3jQ+RKAvvc3EZSaRCPTOKWypEOjtPG3dCr2HHnrIPPOZzzSPP/54eJPxt7/97fD69vn+tm7dGp46t7cYn3766Y3DkVP1LsYb6PPt00KUt2+728Oj9kBs83X89jDo7gS6fSveXiNvT6fba/LboaeF6JPqXHwERKBPowNLbh9zzDHhoPvBD34QvuGw+2+uBLr96umEE04Iqzv77LMbb090wiT+/u//3tivbOzPXhtvr49v509BSDvR7HxdItBjzEWg17EQgd4wChHoERQi0GM/IQI9wkIEemwTItAjLESgxzYhAj3CQgR6U1wvAj0EQwR6bBMi0CMsRKA3zR0i0BtgiECPoBCB3jQ+RKB3frNwhbWovevOKbQZ69f++KUdP4H+zRf+T9jZhSbQLWluT57bq8MtYWvfNrfXpbfrZ6+C37ZtW3g9uj3l3vyzpLF9L93+7Mn36Q5pWq7LXim/du1aY4n5lfKzh1Pt08aWGLcn8j/72c+GHzP09fWF+mBXy7/2ta81V1xxhXnjG99oLr300pUChfrRZgQ6TqAfdNBBbe4CVmcHhX0PYr6/t7zlLeHgsTLbqzLYz36hMuWgPvShDzXeeHjRi14Ep9WbyzeT2D/84Q/NmWeeOV9xE5f/0pe+FF6nYX///d//HRL47fwpCGknmp2vixHoq/vyVJCMV4X0Dd3jkOY6AaQVa2lI21bogbSxYi5RfWt7JqiM5ZoH6Tvy2E4Q4ApsoLsAZbOkz92pSiJF5UjZso/y2coybg3qnKwiZrkU6mCsnIWyW8b7IG1iArENamwlyrsX+Jg3nUN5PM+HCqpVF9K6u8qQ5hDbcYiI/bki2lgF8bKZJorJbt3IZbAvzM6GJ/H6KWZ3vVnsX4HImPFQ91buHLGzUi2FdlLGfjPMmO0wuZk840W0sVaDIJfB8cHarpCxGqDrMLUAbadUQRxqNcxHqgvF7sqijJUqH5u793NyHLEIJlEeQ+y2Zx361lU9kwDlE9sHKbzVCaJrj/SSjCND8g0OoTwMB+bTmQ6s0KWd6Ge8bsS7tw/HMOt0kdi3T/xWdRKxCYjfYdDYdsmUYGjeCiq2azPaThdZl2bH0DcO3LUTuu3f/QDVf1DjviLRhMQyOThm3DTaskNuLnK6u6DGoJxsbgwLkr74BWITAWJmiNwUG1Z2NmCRdhy3xRdmu9UbELLUzFeepLITuZO27aSIjznySdDy5lPQR3k45Zm1vxvhUt/7MNo90z8pzXTgdqE9Oln01f4k+lt39RDGE4fvReV2K2iPmbv/AnlrO3BcJ7ZRoj+vF+NYZ4jPEyZNYqEq+g5/FdZZ7Uf/Xcuin5jcQPwtGRqpEs5PzNeGLiGbbGylClgnLUumRhJqG4d92NBinPtkqq9lUG6nxuZlNCkXw07D6mOYBUSWli6CBUME7lX3laAK9mHU+BE4Zgpr0E7yG0mfjxqDxL/aiGPIZqqSNZNPwGDrpa35XmhnNI9+gq1ZWDxZnmyxlihhv50iiUfTZCykMM1l66oMGb8kvvETxrEWGDeFdXpp9G+OizKytZrnkrmaGKRH6ks6tdl8aSY3+xKFVMrWE6xtFt8WC6h/FouG9SUcb7Tfw9hO9yYyto7AsWpKZB1D1u4usU8ri8NCzKR9IfnI8o12OSDjwKny+YDF5T4ZW5kRxGzDb9HhpkfJXkQVO1MZ4OP/Fz9572zMV3mXAALau+6cEvYEAn379u3hNe329mL7+7d/+7cG99IupC3hbdthBPqHP/xh8/GPfzxsyr77bU+ks599k92S6/l83jzrWc8y9q32hfj5vh9iYT8msE8K1xLsXcz3Y4P3ve995sILLzT777+/sde4T31EMN3b7F//+tfNm9/8ZvPUpz7V/P73v18IKFTnCkCg4wT6lNE2X6PQbhwtgZ5kYM7U7utf/3pz+eWXz5SN/t1e2XHAAQfQv1UqFbNx48bQ6dmvhzZt2mRSqdmseuckUqOQPX1uCXz7E4E+PyxXYmkR6LFWRaDXsWixhykCPcJHBPr0nlAEeutxJAI9th0R6BEWItBjmxCB3qYoUwR6CKQI9CZ7EoEegiECvckmRKCHYIhAj21CBHqEhQj0Jj8hAj0EQwR6m+LTJVCNCPTOKaEZ69f8yJ5Axw83F0qaiS15862/XtgT6Pa53FNPPdXceuutYTc+85nPGEvmtvPXfIX7aaedZq699tpdqr/mmmvM85///Bnb/81vfmNOOumkMN/73/9+86lPfaqdYppCoRC+0f7Vr341fD446c9yeZbcn8/v2GOPDU+Zf/GLX2zwXmHM77otT6Dbd9LthwSrVq2albzzkVNllx8Ci0ag2+vQ2/3m98jISHjV+lIn0L///e833lU477zzzBe+8IWOWo49fW5PodufdRQnn3xyW9tXENJWODtemQj0GHIR6HUsRKA3jEIn0CModAI99hM6gR5hoRPosU3oBHqEhU6gxzahE+gRFjqB3mQT7BRGwhsWdAI9xlEn0Ov+djbf4ickwXQCPcJWJ9Dj8aYT6BEWOoHetEXF9gl0Ar3je3hqcG4IaO96brjNpdRKJtDt+9lnnHFG+ESu/V1wwQUhgdzun63T3nxsf/ak+Qc/+MFdmrDPD9tDmpbMP/zww8Mr3i0/tvvvrW99q/nKV74SJtvnhZ/+9Ke3TVRLntsPCWy9sz042w4ub2BgILy+3Z7AP/744xv9mo5Av/3228PT5+l02pRK5EaXtqGjipYzAotGoLN3B+YLpHUORx99dNsI9CTyzOUN9Je97GXmf/4n+vrJXilhv5Dp1M860oMPPjj8qqa7u9sMDw+bLLnScD7yKAiZD3qLX1YEeqwDEeh1LESgN4xCBHoEhQj02E+IQI+wEIEe24QI9AgLEeixTYhAj7AQgd5kEyLQIz/RIsbUFe6RregK93jM6Ar3CAtPV7g3jEJXuEdQ5HWFe8MmdIV77DP1/2ZGQHvXM2PUrhwrlUC3pLV9wtee/ra/f/zHfzQXXXTRrGB7+OGHwzfLLYnb6nfVVVeZs846y9j2crmceeCBB8zee+8N2Zuvcf+Xf/kX8573vGeXPJZYtqet7Ulve938L37xi1nJOlNme5p9itg/6qijwlPgT3va08zQ0FB4Cnymn716fT4/y3NZEvyWW27ZBc/pCHR7hf1zn/vc8JCv5cj0EwIMARHo87SL2RLodjDutddeodOzZP8dd9yRWILnPOc5jbcp2BXxV199degAu8i7f7YR++bEy1/+8oZj/4d/+Afzr//6r4nbT5pRQUhSpJZmPhHosV5EoNexEIHeMAoR6BEUItBjPyECPcJCBHpsEyLQIyxEoMc2IQI9wkIEepNNiECP/IQI9IZR6A30CAq9gR77Cb2BPv1+iQj0CB8R6LGdiEBfmnuMS1Uq7V13TjPNWL/qqrM6foX7f5753bCzjz32mNlnn33a1nFLan/ve98L67Mnry15zk59TzWYyWTMoYceukv7lsS2BK69Vt2S8faQpT1Jbk9w2/fDv/Od74T/pk50T/e2uuV9jjvuOHPfffeFbZx77rnmla98ZcgT/fznPw+va7cntO1///rXv277gc5jjjkmvEL9Gc94hrn++uuN7W8nfwcddJB55JFHzLe//W1jD69O/aYj0O11+x/4wAeMJfxnw9F1sl9qa/ER6DiBbt8Ft87EvtVwyCGHtBWB+++/35x++unhVy3WyXTiN1sC3V6dbq9Qt7/Pfvaz5l3veldiMWci0O3fraOyTuKZz3xmeNK8t7fX2Kvt7VdGX/7yl8PJwv6e/OQnh87SfgXU7p+CkHYj2tn6jvj+R6DBrmyFCuEavJ/roEH8YmuskoXyT4z3Q9pkESdX18E2HJLWm+NXrRQraWinUMS0bBbfWhnsLkBZ1naBtNGXQXlW5bC+cs2j2A4XuyG9P1tMZAyjxS7Etox9zudzkC8gV655KZ/r38P0FEmr1vBLQ2ZTXWluZ7s3zvDOeDWQsTtdpnIXq4jFWAFt1HOT2R7rH2u4vwttoubjznFXhuOQJo91jhVRh7UA8c6m0L5zKWxnRx7fouom8lR8/vWoR8ZmmuimXOV2vztubHyUiC1XKlhfQLBtNYB6e3FssX4zfW3bhr7MFEn/CEmQGcJ2e4mdFEpos7YvxUn0mazfzgiWD/rQJtI9aBPsus7qY2gn2WHOghBzNMUDyNgsE5uqkTqZjypi2YCoICBj2u9B32Gx9boSvr+1DX1H1+Moj0e6nJpEi1z/y62QWHvgIWq6ASPgEs0S7c/kksWx0+KDTuMRfRVwLPgFnDPbL7lqnA4Bb2gV/Hn4rw+DtEovjtXUJA7WodtGeTyxeTumk3e6TQ7HmymTwUWuK/Qn8thGDeMYp4vMq4fz0xDFdZi354GdGFvd/zC2Td6mZ20bF7F12Lv2qRbzKhuHbGz5JNYbwPmteCCuHcf2w7nI8UkMxa71bUGgU0NJmpe0w8hpn0ytAbEdNo9Z+UjIY8jSyDAsPBLqOUQFVWLyfgqBYHMeq8/KPfggiUdzaD+5zThJuXlSdgDXHVue3gsqzJP9an9f9PMZsiazleXIepStWyokxmRXbgcsxiCGF7CvPFqVrSSLZYIUGikjy9MkFmFxHsPBJ+uvVn1msR59A50afbJ5lLXB1o2taku6J8DW6iymz3oY51V8HAcTJfRv+UkcmAzvVn2heJP1dmknzjGpPr6+3b2tWpnMCZPkrYcWOnXzWJ75UfoRFAvfWVzu4Tjwilh47R/YuxPGjO+D462K7sj0/gXL9z+cDMdKHwpe7ufz7c3feGeywaBcSwYB7V13ThUrlUCfjixn6NoT1vbEefNvikCfSRv2dLV9AtiS4tP97On0F77whcZyZOzX399vvvWtb5kzzzxzpiZn/XfLQdlr3O2ty/bp5k7/Xvva15orrrjCvPrVrzbf/OY3G823ItDt9ftHHHFEyJW97W1vM/bjBP2EAEOg4wT6SlPDbAn0E0880dx8883G8zxjJ5ANGzYkhiQJgW6vnpjpZ6/rsA6FXfcxU9kkf1cQkgSlpZtHBHqsGxHoERYi0GObYJsyItBjfESg17EQgd4wChHodT8qAr3JUYhAX7pR4K6SiUCP8KiJQG8Yhgj0ppiQcTokTQR6hJkI9Nh2RKBHWIhAbwqNRKBH+w4i0JdLiLgi5NTedefU2Iz1K696uelZjx/kL5Q0+S158//O/E5YfbtPoLeDQLenxq+88srw4KO9evyJJ54w27dvD69ZX7VqlTnyyCPN8573PPOmN70pPJme5JfP583FF18cnsS2hLq9BXnfffcNiXV7zfx8r0pvJYM9pGmfDv7973/f9tPtSfp93XXXhe/RW8L8xz/+cfj/7Y8R6PYkvj2db/NZPe5+7XuS9pRnz0FABPo8dT0bAt1+/TN1VccLXvAC85Of/GRWrc9EoNvB/rOf/Sx0uvfee2/ocO3pc/uV0saNG80JJ5xgXvWqV4UOZLZOfjaCKgiZDVpLL68I9FgnItAjLESgxzYhAj3CQifQY5vQCfQIC51Aj21CJ9AjLHQCfenFeLOVSAR6hJgI9NhyRKA3xYQi0KPxoRPosVHoBHrLaUYn0Jt8B7kRia23dQI9wkwn0GcbvSl/UgS0d50UqfnnW6kE+vyRWVk12Kvb7aHRH/3oR8byXovxs7cyf//73w+vj7dPF5999tnGHma1PJg9dJpOp8OnjS+55BKzefPmUMTXve515rLLLlsMcdXmMkFABPoyUdRyElNByHLSFsoqAj3GRAR6hIUI9KYND3LNnU6gx/joBHodC51AbxiFTqDX/ahOoDc5Cp1AXy6Rogj0SFMi0GOLFYHeFBOKQI/Ghwj02ChEoLec3kSgN/kOEeghGIGucF8u4eCKlVN7151TrQj0zmG9mC1deuml5q1vfas555xzzNe//vVFEcVey26vp7dX4093eHTqTXl7uv+qq64y2Sx5N2lReqBGlyICItCXolaWuUwKQpa3AkWgx/oTgV4nfvQGesModAI9gkIn0GM/oRPoERY6gR7bhE6gR1joBPryjget9CLQIx2KQI9tWQR6jIXeQK+PDxHosVGIQG858YlAb/IdItBDMESgL/84cbn3QHvXndNgM9Zn//Dsjl/h/u0XfTvsbLuvcO8cgsujJUtKn3baaeaGG24w3/jGN8JbkBfj5/t++F785z//+fBKfPaz182/+93vNu9973vDK971EwLTISACXfbRdgQUhLQd0o5W+LSfXADt9WVKVIZ8OQPpPRlyzI6UfmzbEKQGPmbMdSerLwgcKmO16kE6I0F7u7GPBw4OQ9mJCvZ5y0Qf5PNc7AyTsStdoXJXaih3JlWFvGP/n703gbKkqNLHIzNfvq2Wrt5paBq0WRpEoGkGRFSQQeEPoyMgKiqyg+CCwzYyDuooygwOKirKnx0RXEbU0UFRYPCAyCLCIPvSLA3ddHdV115vz8zficzXLx99v/c6a8t6VfXlOR7sqFhufPfGjRvxvYjIp0VaGfQZtV2pyCDBBL8Ez6axDpKWI9ouAbkHBzMiXzIl+9KZLUjbS8m0HNCBCXYxbVPKpxtwlbSVwYLE0XEkPm0piUUHkDFfsUVfkIxI+ZYBBoJPWkubQOVzYFzOSecj+ZGBgtTV/OyIHAcl/OtMG9gEarhUSYjkfFmmjeRkO5WizKfAKTAP2LdysZ+w2uQ4TGekrpE/KfZL21FgY8xATYPxZmekLGjT0bdlR1bqbJQ6TG+UtmyA4ZEAZpKQ6lfJEQm4WUZH8ZQqzpFtF+ZLq3Cka1UeUjUYBq4t23bS6CFa2a6XxONNpWW6mQCgdUv9p3qkXizpylR2o5Rx7lND0nesCa4W2/KrdPdEGtdxZDIz0u7MhUDRWpi8BMMdGBRiuqVo838c/ZsNbRgJOW9ZS7cVXc+tkG/vlbrkwOx6eKOErW8AQumBANBIAAcASrv9sk4DnCDwijLO81w0eYCxn81CuQ1k48C+lSvrLO6xvRzTWYljeqMcL1Z/TsoDJxmlKnOl7Ilu6We87k2iTqNNli3svp3IN7ijdODo3W8U3qBbSnQDngkmTeTWPaRDAA9w9U4StIHmahw6KDSPonjEAvMjxAKJA+R25VBVji0Ld7yK1xiZV+SYKS9ql3NPWTZuDctxlN9Wlh3aQQpZ7JR6KSwG8/c8LLeZlHOwAeIoD8R6LiS2wW0oOJSRYwO069staAfqOiEbMsAPlhNpuV5qMNTlHArWMWi46IKwTrC2sqwGMdMWraO4FYbBoL5Eg7VECsRgaG2VTkj7QWtHtK52XGkT/SMyvnHBvoML8NawOGA9krClLSNskTwo9k8A2ymX5XzilEAQjdZL2iaGZV6z1MAZbml9yH2jZSwwp+3vkDZfacNr4P7lYC9DFlep/mjzBJro+1fIVPROu8717EX/NBvCxRnVR+5dx6dOEujxYT2VLa1Zs0bpt8VPP/10/3nhY445Rn30ox9VK1as8J8X3tq3bNmyrWUZ1d/1O/IPPfSQ/775xo0bleM4av78+WrlypXqHe94B0+djwrN2Z255Qj0p59+WukrH+6991714osvqqGhIaV/OdLs01cy6EHBrzUQYBDSGnoYqxQk0EPkSKAHWJBAD22CBHqAxTAJ9JpRkEAPoCCBHvoJEuhVmyCBPtZQbErKkUCvwg7IfJMEes0mSaCHw5MEeoAFCfTQJkigB1iQQA9tggR6gIVHAn1KYjs22hwB7l3HZyH1WB/z6w/HfgL91vf/1O8sT6BPrs71Se7N16br0+jNrlDfUhJye5OrG9Y+PgRaikDXVytceOGFPhm++S2CKN3Tg0z/ioRfayDAIKQ19DBWKUigh8iRQA+wIIEe2gQJ9AALEuihTZBAD7AggR7aBAn0qk2QQB9rKDYl5UigV2EngV6zP55Ar0LBE+g1m+AJ9AAKdPJdp5NAr+KDbmICMxs6dc0T6CFQPIEeYMET6FMSFs6KRrl3HZ+aSaDHh/VUtjSeq9DJ7U2l5tj21hBoGQL99ttvV0cccUSwIDEMtf/++6tVq1Yp/SZBlAH4pS99aWt95d9jQoBBSExAT1IzJNBDYEmgB1iQQA9tggR6gAUJ9NAmSKAHWJBAD22CBHrVJkigT1KkNjnVkkCv4koCvWZgJNCrUJBAr9kECfQAChLozechnkAP8eEJ9AALnkCfnNiNtY4PAe5djw+/0ZSux/qoX39EtS1qG03xceUd2Tiifvn+n/h18AT6uKDcauEbb7xxq3maZTjhhBPGVZ6FicBkIdAyBPrhhx+u/vCHP6i5c+eqX//61+rAAw+crD6z3klGgEHIJAM8ydWTQA8BJoEeYEECPbQJEugBFiTQQ5sggR5gQQI9tAkS6FWbIIE+yRHbxFZPAr2KJwn0mmGRQK9CQQK9ZhMk0AMoSKA3n39IoIf4kEAPsCCBPrExG2ubGAS4dz0xOEaphQR6FJSYZyIR2LRpk/8O++bnoaPcXP3FL35xIkVgXTMIgZYh0BcsWKD6+vqUvsb97LPPnkEQz76uMAiZ3jrf+7aLRAc60wXYqbIjH7NCV43ZlnxioXuwXdTZnimKtDnpvEgru7LdDX2dWMZCQqRnO2R/FnSMiHx7zH1dpFVA20/1Lxb5+kaysqxjirS2dAnKXQF5E5Yr8g6NpEUaug4vaVdEPs+TO4KIIM7YWEYk+Ah4G7unT+oabax0deZElbHUUp8AACAASURBVBm7LNJsU9rToozUn2lIvHRl/aWMqNNUnkjrL8p8yL7nZqTcFVfq2jRkG4iIdoFeGnkVNLbQuFwA8Ck4cmygtlGfhxq8gY5sCuFTqNiiS8gnlIaSY3aongN2vBtga9jSVqyUtDO3Iut0S9IfGWizHVxnqVyQEdiJmWzwTA3qYk9KjpkBaY8J4NYt6W6VPSxV4MihoUodWFXlBunSIcnylQ7Zby8tdQXxLgNwgE14SewnDAmZUkWZmNoo9W8BbG3polT7Wtk/qyz9hFmSaRqt1D1PCNDcPFDimEeRJgnAo5UAHGv+XKnSEekbdSZnGBjVOGRk0YlBIDF/vqzIAgPBAWMmKX26u6lX2oSLbVkB0jpqr7xxPOOFfjRgmNJ3GO34lIyRkPOoQg6pUzrCgb0Wii4W5gNfnZOYJYelDlwLs7xOWqZ3rpZj03r6FSGPkZExZnHFdjJe2knOO4kC8GUVmVbJYLk9gKMFfKGTBPryGtjZFpJ7QNfI7jw0H2gSFU8fEkdg97BtILbRaMxs0YqbkDh0vCpjaF0M1ZlbLMdwIh8Nx5FtJUAIM0eaiSrNkYiX5zSIecD8r8DaCMZWIP6LaCZwSCsU0+mugLjOADGch/KB+M8CZZGLidoXFKdrsVHMbKHYGOENBo1pRozVQFkLlPXtFuCTAevbZEKuedG4RuslhE93v1zHWgnZv3QSj7dcXq5lTEuOLdRv1GfUlwrYk6kUZfzmgv0F1WjdWQBr2Zys0wN9QTJmX5P1zX9a6gr5sg1/hx5QV6rcCfSwUbaDYvCiDFuVkwZz1Fwpo90j/aXu8wsX/FPU0IX5WgQB7l3HpwgS6PFhPdtbWr9+vTrnnHPUrbfe6j8RPZovCsk+mvqYd+Yg0DIEejabVcViUT300EP+1e38pi8CDEKmr+605CTQQ/2RQA+wIIEe2gQJ9AALEuihTZBAD7AggR7aBAn0AAuPBPq0CghJoAfqIoEemi0J9KovI4He1JeRQK+DhwS6DwYJ9NAmSKAHWJBAn1Yh4awRlnvX8am6HusP/Po4lY3xCvfcxhH1q/f/2O8sr3CPT+dT0VJ3d7f/JPQrr7yivKi/LqwP49yIv46dis6xzSlFoGUI9J133tm/VuFPf/qTOuCAA6YUFDY+PgQYhIwPv6kuTQI91AAJ9AALEuihTZBAD7AggR7aBAn0AAsS6KFNkEAPsCCBPtUR3ejaJ4Ee4EUCPbQbEuhVX0YCvakzIYFeBw8JdB8MEuihTZBAD7AggT66mIy540GAe9fx4KxbIYEeH9at0pLruuqPf/yjf426PhWey+XUxRdfrJYsWVITsVQq+afELctSqRS4qmiUnTnrrLPUlVde6Zc69thj1Zlnnqn22msv1dXVpQx4beEoG2D2WYtAyxDo+nqFyy+/XP3Hf/yHOu+882atQmZCxxmETG8tkkAP9UcCPcCCBHpoEyTQAyxIoIc2QQI9wIIEemgTJNADLEigT694kAR6oC8S6KHdkkCv+jIS6E2dGQn0OnhIoPtgkEAPbYIEeoAFCfTpFRPOFmm5dx2fpuuxfv9/6xPo8nmMyZImt3FY/fofeQJ9svBF9d52223qs5/9rHr55Zff8OfHH39c7b777rW0H/zgB+rTn/60am9vV+vWrVNtbfjZrKiyL1u2TK1du1Ydf/zx6oYbbohajPmIwFYRaBkCXQ+UPffcU9m2rR599FG1zTbbbFV4ZmhNBBiEtKZeokpFAj1EigR6gAUJ9NAmSKAHWJBAD22CBHqABQn00CZIoAdYkECPGnm1Rj4S6IEeSKCH9kgCverLSKA3dVIk0OvgIYHug0ECPbQJEugBFiTQWyPWoxRvRIB71/FZBAn0+LCe6pauueYadcYZZ9SuUF+wYIHq6enxT4BvSaDrE+j6RHp/f7+68cYb1cc//vFxiZ/JZJSu8+6771bvete7xlUXCxOBegRahkDXQt13333qqKOO8n958r3vfU8dccQR1NY0RIBByDRUWp3IJNBDMEigB1iQQA9tggR6gAUJ9NAmSKAHWJBAD22CBHqABQn06RUPkkAP9EUCPbRbEuhVX0YCvakzI4FeBw8JdB8MEuihTZBAD7AggT69YsLZIi33ruPTdD3W//Crj8V+Av1/PnCz31m+gT65On/hhRfUW97yFv9a9ne/+90+t7dixQplmiYk0LU0p59+utKkuybPf/jDH45LwOXLl/un3h966CG1atWqcdXFwkSgHoHYCfRDDjmkqQb0SfTnnnvOH1j6jQL9Nno2m21aRue96667qNkWQYBBSIsoYoxirPjFV0TJpF2BtZXKCZFuWa5Im9uWE2ltdkmkZRNlkZa2ZNpLA/NFvu7+BlcAeYbsT0rWuXRuv8i3tE2mWYYn8q0elPKsH+gU+VwgSyM1pZNSxo50UWTvGZT9RvpKAx2mbdmGZUj9LcqMQDFNkPeFvgUib++AlNGTMKrOzry0k6S0k2UdfZHsBOlKF8w7dqTRMVhKi3ztttRBIWJ9/UVZX19ezm8u2HzTgnjAftqBTSwA+kpbcgyXXEv0r6+YEWkDeSl3vpCEGKLxPydbiIR3z4C8rqlSALoCthOpAZ0JjF+/rHQTyjBlQ54DMqJxjWREG/AoH2qiAhK13MBW7F7pl8FQVQq0bQJXb0o3oUqdsrC7RI4N324roONAbogt0Jdhy7YNU/otz5HtGmB+MhPYoJy8xDG5TtojwseSrkxZ0pWp5FA0Y27b4EATz9zztEh3hoZkXgPowJOYKZDPtIE9gffJvIo0HjcPgIg8WJkxbgSseXNFk0Za+n9vaFiKZsn5xB0GsQOyO+0nHGDjyG4RKA3qjIKfmZL9M9Ly/T2jo0GMWQID2wFja4HEdniFjB1zCySOnhyC0H97oyB57RHpe+a8IPXlpECcsKuME9Acmu2WOi11SCEbyo3dnoytQZhggLKe7IpyLTm3ovnScLGv9kxZHukLhQmwHTQMQMCM5FZA/wgHf14eRzzigPAPYYvacEHZMripszwHjCEd8mRkupHEeaOMf4ViOlTQQvrHNmEmpDzJtJwfUelSHsQYoD4Uazsg5jFBHGs0iIMrZTlA7JSUG61PUwlpuBaIy0oOGIQA76SFB3++HG39lgHrWxvUWapI54rWIgmgg45MtLWN7l4RtFMB+nJdOTDLJbDXAvBGaxYHxN8O0LNbxHoxiih2BAoDxRP9MvFNv5ZzzPAyMJ+AJl5/Jx5vRqdcpET+YTMa62jtVwbriQbh+8unnR/J9TBT6yDAvev4dEECPT6sp7IlfR3797//fbXHHnuohx9+WCWTQfDXjEC/6aab1AknnOCX+dvf/jYu8U866SSfhL/22mvViSeeOK66WJgI1CMQO4G+edB4iD3Re9iGUbvmYWuq2pxX/9dBGy9bq4B/nxQEGIRMCqyxVUoCPYSaBHqABQn00CZIoAdYkECvc8kk0H0wSKCHNkECPcCCBHpsoduENEQCPYCRBHpoTiTQqzZBAr1mFCTQN0NBAn0zEiTQm0/BJNADfEigT0ioxkomGAHuXU8woE2qI4EeH9ZT2dJuu+3mH4q9+uqr1cknn1wTpRmB/uc//1m94x3vUJ2dnf5V7uP5nnzySbXvvvuqnXbaSf3lL39RafBj8PHUz7KzF4HYCfSDDz7YJ8kn+tPvG/BrDQQYhLSGHsYqBQn0EDkS6AEWJNBDmyCBHmBBAr3Ow5JA98EggR7aBAn0AAsS6GONxKamHAn0AHcS6KH9kUCv2gQJ9JpRkEDfDAUJ9M1IkEBvPmeTQA/wIYE+NbEdW22OAPeu47OQeqyP+OXHY7/C/bdH/cjvLK9wn1yd6yeZ8/m8T17vs88+tcaaEeiPPfaYWrlypUokEv775eP9fvzjH/sn2g844ACfyN9ll13GWyXLEwEVO4FOzGc+AgxCpreOSaCH+iOBHmBBAj20CRLoARYk0Ov8PAl0HwwS6KFNkEAPsCCBPr3iQRLogb5IoId2SwK9ahMk0GtGQQJ9MxQk0DcjQQK9+VxPAj3AhwT69IoJZ4u03LuOT9Mk0OPDeipb6ujoULlcTrxB3oxAv/POO9V73/teNW/ePNXT0zMh4uvr44888ki1adMmteeee/okepTnofXV7/yIAEKABDrtYsIRYBAy4ZDGWiEJ9BBuEugBFiTQQ5sggR5gQQK9zi2TQPfBIIEe2gQJ9AALEuixhm/jbowEegAhCfTQlEigV22CBHrNKEigb4aCBPpmJEigN59+SaAH+JBAH3eYxgomAQHuXU8CqA2qrMf68F8eH/sJ9NuPusmXjCfQJ1fnu+66q3rhhRfUj370I3XcccfVGmtGoF900UXqa1/7mn9iXRPf4/30FfKnnnqquu+++yJXpZ+Z5vPQkeGalRlbhkBfs2aNr4DttttOWZYVSRn63fO1a9f6eZctWxapDDNNPgIMQiYf48lsYaefXTyu6lOpiii/TeegSOtKFUSaC4io4XJS5OseaRdpwyOpyHInk1LGN83rFeXTCZkvV7FFvteHOkVariDldh35fMWcjjyUe1HbsEhPmo5I25iTWORKUsaE5YqybUl5PU6HXRT5OpNSVzpTxZW+ujvfJsr3FzKRdIPkWZAZiYRD2iqLfB02lnuonBZ5U5bU9aai7EvBSUTqy2BRtrFpSNaHbN6pmLCNhC31v7BT2knCkLruSEq9IlsuAPvuHpA2Vi5iHOy0xHFee070xzKljBv6OqRPAFgYAB4T2Ldhgs1NvN+pFHhZBunBc2VG1I4HxjqSWxlSICcnx6/Vh/E2i0AeCa1y0rIdD4RantUIoDeqxs3IRgwbNKzJqCEgO2jGLMm+uEkgdwq0A9LMpBwvCrWbwHJXeuQYzr4mQbOleSv4mwoU2gJ5EsBtzXsSzxP2Yy+KMeMMDok0A8XVnuy3B0giw5R68RyAbSTPyEytjIDVLn29Skp/5BXkfIJszM1LY25oO8AeJxorM5sVVZpdc+S8s3iuzDcs+6wzua+tk+UBPol5sk5n+bai7NCbZZxglqSjqGTlRFhJ4yfSoK9H8yi4MdGV6sdqAU0jPwjCE2WB/ulGUF43IRuC5YFvdZJjf0KufZ2MMbWMuUVyfoPtALwN5EaB3Abwyx7wy4YXPeYBoQfUqwfkRjpA+SpyCkWhljKB3eWWYDMrdYH5uk3GnQrFfzDQi2gTIMa0kjh2sMEasy0j/YcHBsgIWDtWyjJ4QOsBFJ8iFG2wltD5ig3i+i3rSICYKZWU4wOR6shELaCrjI2vb0WYpcBaHa2X0ZpnCKzVSo7E2wQDJmPLPhcqOFZHeYtlmXe4IPcyDNB2pSJlRNigtVFxRO5PeGW87jRKaKKItk4wC7Js11MyLZGX9fWEN/7WzM9bgOdgtAZLgPgfjY9KCS2E5KjxwBhUFew7Xj7t/IkOXVjfJCPAvetJBriuehLo8WE9lS2ddtppSp/i1qe/f/Ob39REaUSg6xPnu+++u39S/Nxzz1WXXnrpuMTX3OJ+++2nuru7lSbF9affVp8zZ47SMmzte+mll7aWhX+fpQi0DIGuDVn/729/+5s/eKJ8q1evVjvvvLNfrlIBi6colTDPhCPAIGTCIY21QhLoIdwk0AMsSKCHNkECPcCCBHpoEyTQAyxIoIc2QQI91rCFjU0QAiTQAyBdEug1iyKBHkBBAj10MiTQAyxIoIc2QQI9wIIEemgTJNAnKDBjNZOOAPeuJx3iWgMk0OPDeipb0m+f77///v5p7muuuUaddNJJvjiIQNc2cfTRR/unzvX750899ZTaaaedxiW+Pnl+3XXX+e1pQv6ss85SO+yww7jqZGEioBFoKQJdD7DHH3981AQ6r1loLWNmENJa+hitNCTQQ8RIoAdYkEAPbYIEeoAFCfTQJkigB1iQQA9tggT6aCMP5m8FBEigB1oggR5aIwn0AAsS6HU2AW4B4An0EB+eQA+w4An00CZ4Aj3AgifQWyHSowxbIsC96/hsoh7rw37xCZVZBG6+miRx8huH1e+P/qFfO69wnySQ66rVpPWVV17pk+iaID/22GPVRz7yEf/fN998s//fP/zhD+onP/mJKhSCG8suuOACdckll4xbuDe96U1Kn0L/3Oc+py677LJx18cKiMBmBKY1ga7fVdhll138K9/LZXy1GlUdPwIMQuLHfCJbJIEeokkCPcCCBHpoEyTQAyxIoIc2QQI9wIIEemgTJNAnMiphXXEhQAI9QJoEemhxJNADLEig19kECXQfDJ5AD22CJ9ADLHgCPbQJnkCPK3JjO+NFgHvX40UwenkS6NGxmu459XPLJ598srrpppt8srzRt/mK9RNPPNG/9r1Z3qiYZLNZVSwW1b333qve/va3Ry3GfERgqwhMawJdD4iDDjpIdXV1qd5e+X7xVnvPDJOCAIOQSYE1tkpJoIdQk0APsCCBHtoECfQACxLooU2QQA+wIIEe2gQJ9NhCFjY0gQiQQA/AJIEeGhUJ9AALEuh1NkEC3QeDBHpoEyTQAyxIoIc2QQJ9AoMzVjWpCHDvelLhfUPl9Vi/59YTYj+BfscxN/ry8AR6fDq/9dZb/VPljzzyCGxUP9/8r//6r/7p9In6li9frl5++WX14IMPqn333XeiqmU9RKD1rnB/4okn1G677dZUNfq0uX7/XF/JoK990O8r3H///VRniyDAIKRFFDFGMXb5+VdFyUZkGSKOOjvzovzCtuFI0gwV0yLfSDEp0nJ5meZWTNiGmXBFejotb6xY1DEUScZ8WbbtuPJXdYWyLdu1QbsNsGm3S6J8wnREWm8xK9Je6+8SaXOyUi8dyaLI5wLmJwna1QURmYzKo76gfEgB2QTALCV11V/OiOLbZfqhTp8fXiTSk2ZFpK3uXyDSPE9W2Z6SOK4f6JTjqGzJ+lxpt6YlbVYX7GgLrjeq/97UJX881p1vE/lKlYS0J0vaU8KQba/tlfbkApvXDaCx1QVsz0a2nJO27AB8LBOMaVvqzwG2nC/KcanldkE7QNXKdbCfieI8kF6Rb3X7pI+x8rhdowJ+0WtKySud2Ka2lNuzQK8NmWagfOUG2CAZEbgIRDtaRiQ3lBFgo0bk2NCipLrleO14WcqT6ZXYjmwjy7oySaFrbzObZH1z73sNmpjbvUn6lJKcO1Bhz5HjP4odM8/MRcBMSt+jEnh8bImCYcrx7xbk3OhV4rkxzLDkgDNSKaE8cxsZD4zsLtOyrwxCxTtPPCfTPTmGrTlzRL6Rg1eINCcpfXr7SyMi38Cu8trLcjs+4YH8jAKuFeWD4R9yy6g+YDqoDUuaid9f9EMkEKKoRFE27oK20dvdCAcFYLRKeC6CP5aKGCaAqRX2Gfpvs/FpnrF6KGgnoDIoN+hzWYaiqvMVOe9kX5exbe/uoLBSatPfyVhPJeV4M1PR5jcXxC1obWsmpP6tBG7DtmV6W0rOyyYAEq15DZDPBLFMuQLiDhCrp5IAQ6VUCa1RgIEjeZKgz+ja8pQl23bBgCs7IGDSV4Cn5Vo2DepE69O+vFxjoL5UQJyfAmuMNrBOR23oIZQFeQfBngfSIZIH6d8BclfA3ogD16IN/AlycDmgG2CPML5dKx1zaRep02QK2EmDdWdUf1cB/bbAHhFa51VyaELBmL1y6vlRRWK+FkGAe9fxKYIEenxYt1pL69at898537hxo9Kn0+fPn69WrlypNNk90d8nP/lJdfXVV6vvfe976swzz5zo6lnfLEZgyk6g62vX67/NVzeM5cqGSy+9VJ177rmzWI2t1XUGIa2lj9FKQwK9OWIk0EN8SKAHWJBAD22CBHpj/0ECvQ6baLy4UiTQfdBIoI82kmH+sSBAAj1AjQR6aD0k0AMsSKCHNkECvWoTJNBrRkECPYCCBHroJ0igjyUKY5mpQIB71/GhXo/13//8xNhPoN/1wRv8zvIEenw6n4qW9FPP++yzj5o3b55/8l3/lx8RmAgEpoxAN8FJhbF06EMf+pC6+eab/XfQ+bUGAgxCWkMPY5WCBHpz5Eigh/iQQA+wIIEe2gQJ9Mb+gwR6HTYk0H0weAJ9rJEKy00GAiTQA1RJoIfWRQI9wIIEemgTJNCrNkECvWYUJNADKEigh36CBPpkRGmsczIQ4N71ZKCK6ySBHh/Ws72lu+66S2mucNGiReo73/mOes973jPbIWH/JwCBKSPQ/+3f/u0N4ut/69Pn+roFbeSNPp0nnU6rJUuWqLe//e2TcuXDBOA6q6tgEDK91U8Cvbn+SKCH+JBAD7AggR7aBAn0xv6DBHodNiTQfTBIoE/veGmmSU8CPdAoCfTQskmgB1iQQA9tggR61SZIoNeMggR6AAUJ9NBPkECfaRHizO0P967j0y0J9Piwns0tHXLIIX73165dq55//nmfZ+zq6lI777yzymblcy71WOm8mnznRwQQAlNGoG8pjD6Rro318ccfV7vvvju1NY0RYBAyjZWnlCKB3lx/JNBDfEigB1iQQA9tggR6Y/9BAr0OGxLoPhgk0Kd3vDTTpCeBHmiUBHpo2STQAyxIoIc2QQK9ahMk0GtGQQI9gIIEeugnSKDPtAhx5vaHe9fx6bYe63f/10mxX+F+97HX+53lFe7x6fyxxx5T9957r3rxxRfV0NCQ//55s09zgtdee+24BNzMLfp7LV60TSfdrs6r/7s1GcclHAtPawRahkC/8cYbfWP9wAc+oDo7O6c1qLNdeAYh09sCdrn1q6ID5UICdspMuCK9LVuU5SvyiQXHMWW+ImgHzHmGJROTqQqUMZUsi3TDkFnTCVne9WTGhdlhUThpyUAgCXYdO+xCZOPIO7bI21uUv5ibl8qJfLlKMlI7g6WUyLe8Y5NI6y62w/oqrtQhythuS5tA+BRAn7MJWdYCu3cIr4Qh7VPL99rIHCHmCMCiu1/2O5mUdpKwZDsjwxJbD9iT50gbs5JY7gRo2zJl3jxo20zIMWOBzb8ESCsWpS02MjA0/jvSUocOsJ18WY5/y5RyZ2w5phEObXZJiFly8HMv/YVMJL9VBr4M+Qmka4SZ50r9l/uk7ahyg7HWLu3RTEp/ZAAcoe3Z0p4MMN5cILcLfLq/cAE27gH9G2AcIXxURWIRcW2kzBGp/1QvxtYelBqb85LENrNB+vVEn/TL5QVtokL7+XUizStL+3b6BuCQM0xpP95WFqaRJgdmIgJVBBCpbiRljGG0gV/0p4Evy+M4yNnUK8dCRFs2M9J/K1AWjQ1zjlxzDh+0i5AlkcPzcvq+p0VetwDilmXbydjq4CUizZJFVedq6U963yL9idsg9EOhECI3oNGDGNwE4baLlgkg1gZhkDKly2s4/kxHCuQBP2hWZD4nKQVqECZGHv+GK9tBdboJ4KvR1APw9tDSKGJZBXTgdw61A8IjA+xzQntCZcGQWXxfn8DWKEmDGlqB36vcuI9sqDxHNmRvK8cM6jOMjUB8g2I6FBv5nQOYJ8A6sT0dLUZF8Y0LYqikLXG0wRrBAf3TYqdAeRPEfwP5dKTxgdbanWnp/zMJ6QBQXN2o0ahrUQc4vXxJrm/Qj6KzQEb0I/JGMg4VJWZpsJYZLso5E+0xlIH+S2ANVQJrFhRXo5jedxOgHQ+Mazstba+0Vs5RZlkOjuxOMr5Fa61IRrc5bgF2XyxE2xtxCsCZFZGDw6TMy6efPxpRmbcFEODedXxKIIEeH9ZT3dKzzz6rTj75ZPXAAw9EFmWiCOyDDz7Y5xbH+t19991jLcpyMxyBliHQ3/3ud/tGfvzxx6uTTjpphsM+s7vHIGR665cEeqg/EugBFiTQQ5sggd7cv5FAD/AhgR7aCQn0AAsS6NM7Npqt0pNADzRPAj0cASTQQyxIoFdjHhLodUYhZwsS6AEmJNBD2yCBHmBBAn22Rpet02/uXceni3qsD/6vk1R6UUdsjRc2Dqk/8gR6LHjrq9P32Wcf1dPTUzsB3t7erubOnav06fCtfS+99NLWsvDvRGBKEGgZAt22beW6rrrzzjuVJtP5TV8EGIRMX91pyUmgh/ojgR5gQQI9tAkS6M39Gwn06mYyOmYHoOMJ9BAUnkCv2g5PoE/vIGqGSU8CPVAoCfTQsEmg181bPIHug+GRQK8zCjkJkEAPMCGBHtoGCfQACxLoMyxonIbd4d51fEojgR4f1lPZ0llnnaWuvPJK/4DsKaecos477zy1yy7ydq+plJFtE4GxINAyBPp2222n1q9frx5++GG1cuXKsfSFZVoEAQYhLaKIMYpBAj0EjgR6gAUJ9NAmSKA3dywk0AN8eAI9tBOeQA+w4An0MQYlLDalCJBAD+AngR6aIQn0EAueQK/GPCTQ64xCumwS6AEmJNBD2yCBHmBBAn1KQzw2rp/2e+01tf322/tY8G3syTUJEuiTi2+r1P7mN79ZvfLKK+oTn/iEuv764N15fkRgJiDQMgT6EUccoX7/+9+rW265RX34wx+eCdjO2j4wCJneqieBHuqPBHqABQn00CZIoDf3byTQA3xIoId2QgI9wIIE+vSOjWar9CTQA82TQA9HAAn0EAsS6NWYhwR6nVHI2YIEeoAJCfTQNkigB1iQQJ+t0WXr9Jt71/Hpoh7rd/3s5NivcL/nQ9f5neUPJSZX5+l0WpXLZd4uPbkws/YpQKBlCPRf/OIX6oMf/KA66KCD1N133z0FULDJiUKAQchEITk19Sz/6ddkww2uI7aTFZEXkc6VotxZQVcXox4blieSOzvzIq0rLdN0Jst0Rd6ikxBppiHbmZuSdS7L9oGysg3Xk++7pCyJ16ZSFip6fb5T9jEp5Zljy7QKuEtxqJwW9W3Mt4m0pOVENrxsohwpb9KUdSbRDiyoreRKXRWA/lAbuYoN5RsoSSx6h6UeKo60W2RPpaJsx5PmpExL2klUotXvCBiHrmOIPnoV8LaQK/OZaWmPiaTUVSZVEm0Ysjo/T7Ek9ZVN1T7pKgAAIABJREFUy/KFksTMBTK2p4tyHGSkzSP9I+U3sol1/XNE9groiwJ+wjSlstEPLZA8+VxS6g/gYIA2dMG5XSOivAVkLAFbRjaaTcoxXaxInZYrYLe8gTewgN0jOykBvJ0cGFvA5hMDYI6RYqvMemm4yUEseKZHjtc5f10v57y1IK1YiOQbmWlmIoBIZ7ck/WDU3pspOWcpT9qnP02AK6WjtuM50eZ/05aDy2iX8YQxf570b0nsO4wR6eud19ZJ0Rv0e8uMCAfDlOPfSEofXPm7FaLdvl0zEMaFj0gHYq7rEXlz+ywTaUNLJY7JQalXA6i6MFfO8yhfQ92DOdyQIYFSKJ8j5zw3ITM6KdA6ih1AvKRLov6AcFIpPBRE4yaQ2wRhbCUNhGz0ZCNqGxRHV5y7aCiAdhwQyqL6ol6j3tAmQF+QDgzgJlw5jJQCes1skontr0kleBYOMnveKsHI7yljQhRbe2UwZhIgLs+B4AGtg1PYXxq2rDPbLv1bGsRbNliz5kC8nLblYM3aco6xR7GmQ3axKSf9Oor/DBB3ovoSIB5MgD4jclnX12FLHEtgIJVBzFsG+dCazgZOph1gi9YTAwU8TyAs2pKyLyifA/YT0F5LsSztFsXvKF+jPRm0LjPBvoxTls7M6ZNOIbU4FykcqYD6Gq2rkE2hNQaq0y2AsV6SfsIsoHU17sqL/3ROpD4yU+sgwL3r+HRBAj0+rKeypSVLlqiNGzfydumpVALbnhQEWoZA173TVzz86Ec/UieeeKL67ne/q9raZNA+KSiw0glFgEHIhMIZe2Uk0EPISaA3Nz8S6AE+JNBDOyGBHmBBAj20CRLosU/jbHCKESCBHiiABHpoiCTQq1iQQK8ZBQn0AAoS6KGfIIEeYEECPbQJEujN11Uk0Kc44J0BzXPvOj4l1mP9jp+dotILO2JrvNA9pP70oWv99ngCfXJhf9/73qd++9vf8nbpyYWZtU8BAi1DoP/whz9Unuepb33rW+rxxx9XXV1dSg+8PffcU82dO1dZVvPTTpp859caCDAIaQ09jFUKEughciTQm1sRCfQAHxLooZ2QQG++0bPliOIJ9BARnkAf66zNcq2GAAn0QCMk0EPLJIFexYIEes0oSKAHUJBAD/0ECfQACxLooU2QQG++riKB3moR8PSTh3vX8emMBHp8WE9lS3fccYc67LDD1Lvf/W511113TaUobJsITCgCLUOgm6apjLo7YTWZXv/vZr3W+SoVdO/chGLFyiIiwCAkIlAtmo0EeqgYEujNjZQEeoAPCfTQTkigN9/o2XJEkUAPESGB3qJBAcUaNQIk0APISKCHpkMCvYoFCfSaUZBAD6AggR76CRLoARYk0EObIIHefF1FAn3UISoLbIEA967jM4l6rN/+01NjP4H+5w9f43eWJ9AnX+ef//zn1aWXXqrOOOMM9Z3vfEfZNn5ac/IlYQtEYOIQaCkCfazd0gS6E/HdvrG2wXLREWAQEh2rVsxJAj3UCgn05hZKAj3AhwR6aCck0Jtv9Gw5okigh4iQQG/FiIAyjQUBEugBaiTQQ+shgV7FggR6zShIoAdQkEAP/QQJ9AALEuihTZBAb76uIoE+liiVZeoR4N51fPZAAj0+rKeyJX27tP6uuuoqdf/99yv9JvoHP/hBtWLFCpXNZrcqGm+X3ipEzDBFCLQMgf7KK6+MC4IddthhXOVZeOIQYBAycVhORU3Lf/J12azhQVFMU6Y7FVPk9Vy5Y2YmXJEP1ZdIOCJfNl0SaRm7DGXMJGR62ZFPQrTZss4F6RFR57JMr0gbdlIirb+cEWkpU96UUXQTUO5cRdaZMCUWS9KDonzRkXU+1retyJcvyV8CtiUlDhVP6lRXhrBFpHrClLouVKSMuYqUpzNZlHiXkyJtUWZYpK0dmQOxdT1pjxVgEw6w28F8OpJ9G2BsoH1jJKDjYLzh2HJkrWi8KSXzJdukrtNJOV6yIG0gJ3HQfXFcLPuW/TSAT0GbIG0pKWMWjNUy2Im2wXgZKslxpWUbycv0CvBlSF8e6LMnTV55wO5QfamM1EFbRo4DXRZttiYT0s8gLNA4KAHfgcbqwJD0b6aF54mULeUZ6pOLJ3NA+oTEILAnkNS2ViJpD0t5Ol8uiIyJ/jyeatduEOnugPS3Hn/AORWhyqS2aWzl2aj6xo2knI+MlPQnDrAdhRwF6Fli4QKRWtl5KcQgsaZbpgMb9fJyLCAZDVPOHbDPADOEg8rgucOb1ynkNnLS77nr1stxCfqCsDUSMsYwbOl3zPa2yHij8MjKgbhzruy3k5axaH6+TCu1gxhahoMNx0TEqUeBEFUZDvDrIJhBZcttwHbQ3NggbEAEsyVDAthvpJeo/XPSUm5IduuWUWAH0hxw8MYD4T/SVUWao3IyUi8GsIkG4buy8kA3eAqXMW/UYBbks2WoruY/JWOE/uV4bTS4pzQAA6wnvTJ4+q8IDA3YY7JPlq20gfVuB7790O6QMlpAxgUdco2JYjUU36bB2hattYpgrWVb2HkMg/i4BNZGKO60wDpvPJM0wkHXh9bqLhiEaQvYVFH6YIQZKttXlDEvWu90puS8quVOGMDQAEADJSljviydRxrE+Whvo1DG42jLphut3TzgE1yw5rGsaP2zwZ5OuSLHG1oHN3JPaM3roDqLwCcMS3yi+sZG8+rq884Zj+mz7BQgwL3r+EAngR4f1lPZ0pa3S49GFt4uPRq0mDduBFqGQI+742xv8hBgEDJ52MZRMwn0EGUS6AEWJNBDmyCBHmBBAj20CRLoARYk0OOYodlGHAiQQA9RJoFejYMa/GCBBHrV/wMukQR6OI5IoAdYkECvW2OSQG84nZNAD6EhgR5gQQI9juh3drbBvev49F6P9dt+clrsV7g/8JGr/c7yCvfJ1bkm0Mf68XbpsSLHcnEgQAI9DpRnWRsMQqa3wkmg121u8AS6DwYJ9NAmSKAHWJBAD22CBHqABQn06T33U/oQARLodVjwBHoQB5FArzMK6S14Ar0OE55AD8DgCfSaUfAE+ugiDBLoIV4k0AMsSKCPbgwxd3QEuHcdHavx5iSBPl4Ep0d53i49PfREKUePAAn00WPGEltBgEHI9DYREuih/ngCPcCCBHpoEyTQAyxIoIc2QQI9wIIE+vSe+yl9iAAJ9DosSKAHcRAJ9DqjkN6CBHodJiTQAzBIoNeMggT66CIMEughXiTQAyxIoI9uDDF3dAS4dx0dq/HmfAOB/uPTVWphx3irjFy+2D2kHjjuKj8/T6BHhm1aZtxtt93UySefrPRb6osXL56WfaDQrYlASxLojuOoX/3qV+rOO+9UTzzxhOrtDd4cnjdvntpjjz3UoYceqj7wgQ8oaxRvFLYm/DNTKgYh01uvJNBD/ZFAD7AggR7aBAn0AAsS6KFNkEAPsCCBPr3nfkofIkACvQ4LEuhBHEQCvc4opLcggV6HCQn0AAwS6DWjIIE+ugiDBHqIFwn0AAsS6KMbQ8wdHQHuXUfHarw5SaCPF0GWj4LA5jfYNV94xBFH+GT6kUceSf4wCnjM0xSBliPQb7/9dnX66aertWvX1gT3vCBk0u8hbP6WLl2qrrrqKnXYYYdRxS2GAIOQFlPIKMVZ/tOviRKm2WjZIit3KuDNE1Dcsl1R2DBkRtS2acqyVgMZLUvmbUuWIrU9N5UX+TqTBZFWchISM9AXpIqE6UANtVlSxqFKSuR1wQOcvcWMyLd+sFOkOa7c3WpLyXZLjgVlTFpS9l3mdYu8SbCz+tpIl8i3KdcWSS8WwBbJaAE70Q3YIN31JBaFstRruSKxQHZbN13VzWUSRg+067j43SCnLNt2K1JuMyHHkZWQurJtmdaRLgohR4pJkVYsSWwauRoDjE0T6DCblrY3L5MT1VYAPg4YB/mSLeWuYLmLQNcVgLdTBOUdsEtckjr0EsDn2cDnAb2k0mUIrw30mrblY7Q2GKvDQK/5gtR1KSfT0FaWnQGP4CqlSoOyvJmXtpzsk5i1vSa7XZFuQi1+SNqJmZf2ZK6V/skrYWzd4RHRuFfBeUc5zTJ7DAhAEtyQNmbYYP7umoMldMB8nc3KvIB0rry0BkwA0ifAOGHbJSK595AdoYzZDdJGjYr0M8nuYWnfz78i00CfEWZQGDARmgvmwaz9b18q45uE9K2dL8ixnlgdrhk3V1Lp7olmZcAmUEEzLeOvaA0EucyOdontwrkirbBU2h58Z70kbafchmO1/HyZ7qRA7DAO95YoShtzwNThAp26DcIJRMojzJ2IqkE4ghAMEr+uDCcaqr8CXAIikytZiZmblGneHDm3GmBtg37E5qL4RCnlFkEsWwaxJ3BRBoo7y9KeEiMyret52T8DtNG7AsRVSqniNhILq00arp2S+YqDwFBALJLqkdiUuqSQbhtev6XmyDgarRPaMzJfvigNbU5WrjvR+qYC1moJEPs1MlxUPpkAeAOFpUG+BMpnyfpKrsR7UwENIqVSoHy7LWM9uKYDa3WEBVpjoDVL1HZ1G4WIbSO5+wtyTY/WwQ5wZhVHjmkXrKHSdoM4GDgutPZH9jhclOPNAfJAnw72J9B6R5fN5WU7lZK0KS8nJxqjIPGxB2Xam38WHOZ6w/cSWKAopW4fvH40oQHztgAC3LuOTwkk0OPDeja3tGrVKvXoo4/6EGzmEBcuXOifSD/ppJOUPqHOjwiMBYGWItBvuukm36A1Yb6ZNN9xxx3VNtts4/97w4YNSr+nsPlv+pclN954o/rYxz42lr6zzCQhwCBkkoCNqVoS6CHQJNADLEighzZBAj3AggR6nUMmge6DQQI9pkmazURCgAR6CBMJ9CYmQwK9Bo5JAj3AAnC3JNDr/Qn68QUJ9M0IkUAPkCCBHo4ZEugBFiTQI4WvzBQzAty7jg/weqz3+/EZsV/h/tBx/7/fWV7hHp/Op+p26ccff1xdd9116pZbblHd3cEBis1k+v77769OOeUU9eEPf1i1t8sfOMeHDluabgi0DIGuifEVK1aoYrGo2tra1IUXXqhOPfVUtWjRojdgqo3/mmuuUZdccokaHh5W6XRaPfPMM2rZsmXTDfsZKy+DkOmtWhLoof5IoAdYkEAPbYIEeoAFCfQ6P08C3QeDBPr0nvtnmvQk0EONkkBvYt0k0GvgkECvQkECPRwwPIEerIN4Ar1mExZPoPtY8AR66CZ4Aj3EgifQp99qgnvX8emMBHp8WLdCS61wu3SlUlG/+c1v1PXXX6+0PPrfm4n0bDarjj32WP8Q7zvf+c5WgIwytDgCLUOgn3POOerb3/62/wuQe+65R+29995NoXvsscd8Ix8ZGVGf+9zn1GWXXdbiUM8e8RiETG9dk0AP9UcCPcCCBHpoEyTQAyxIoNf5eRLoPhgk0Kf33D/TpCeBHmqUBHoT6yaBXgOHBHoVChLo4YAhgR6sg0ig12yCBHoABQn00E2QQA+xIIE+/VYT3LuOT2f1WO97yydjP4H+8Eev9DvLE+iTr/NWvF1a32itb7DW/3v66ad9EDaT6cuXL/dPpetr3pcskU+nTT5ibGE6INAyBPoee+zhG/GXv/xlddFFF0XC7itf+Yqff/fdd1dPPPFEpDLMNPkIMAiZfIwnswUS6CG6JNADLEighzZBAj3AggR6nRcmge6DQQJ9Mmdm1j1aBEigh4iRQG9iPSTQa+CQQK9CQQI9HDAk0IN1EAn0mk2QQA+gIIEeugkS6CEWJNBHG61PfX7uXcenAxLo8WE9lS1Nh9ulH3zwQXXttdeqn/3sZ2pwcNCHS5PplmWpww47zCfT3/e+9/n/5kcENiPQMgR6Z2enf5r8T3/6kzrggAMiaej+++9XBx54oH9qfbPRRyrITJOKAIOQSYV30ivf5edfFW1YFthB8ScZT+QtFm2R5iGCCWxQGaaszwRpqN1EwoHYzMkWRHrKqoi0imeKNNuUdc5L50W+wVJKpKGFddQ30HRliLR2PQmaB9LKrpzoNw21CRmTtsTBBjiiNnRlcwAWy9r7RTu5SlKk9RYzIm1TTspYKsu+JIA9FssJ2b8GNoHsGb3LhshyZGSmKceHAezbBOMF6bRRu8ju29IlIRLKh3SYR2MV2RPQAWpDC2JaYAyDfiMdLGwflmPQkmOw7EibyJWljY0UZVoZ9MUfb3npt9SQtKnEsGzbKkZzy66sTrm2xMsDorg29sEKlUc+05UGaRSlzzOAr0Zte2kpT3au9I0amfx6Oa7Ngmy7c7WUceGjIwLcxJrgHav6z8vLtr289P0uyBdNe8w13RCwurqkb+yaI7uRkGO6tJ0s26j/XgKxbTJ36tU+GXesflmkmUnptyr77ybyDW+fxiIBcUB4o1L90re2P9Ujx9YGOd6UDZxZKdoD2saC+VDuwX22EemlDuknXFt2MDUg/VHHC8FmSP1nDuRk/1ISb6MC4skRWVZX5vYPSDuzgRO3gL9F+VAa8GVeSc79qsEmjzF/rsR2e5k2vFTGsuU2ZFBSheBWZ4XeDUfzYEPfAppGeUHIi98xB2brgGGExovXYP8M5XWTcl530jJNZaWdGUmZZiakfSeTMn5PgTQUQ2sMSyUJhlOSnfRQzATmbysv7TsxAsaqdINqeHsQByUAXvpd7W3kXL+oa0iYBYqtB3JS2WjNar6UFfUh/bkgDvILpoFegQ4NEC9bKB+I6RBhidYxtg3sCcTkWmwHxIkWaBuNQbQOSoE1WEdKxmVdIK2RTxgGsT56az0J1g5oDVaoyHGA9gPQmhyttRutl5E9Oq4cMx4w+yTAsRNghvqSAOvTgYJcf7cl8UIG4ZgEeyNIX31gnT9UkHMMWi8jv9UI2yJYvzk5OQdbI9K/mQXpozpflL3pWCf9LZx3lFL3/ur8hlMa/9CaCHDvOj691GO96uYzYz+B/teP/cDvLE+gT67Op9Pt0rfddps67bTTlD6drj/P82qn0vVJ9PPOO099+tOfVokEWERMLoysvQURaBkCXb97XigUlCbF99tvv0hQPfTQQ+ptb3ub0m8X6PfQ+bUGAgxCWkMPY5WCBHqIHAn0AAsS6M1HEwn0EB8S6I1thQR6nZ2QQB/rFM1yEREggR4CRQI9wIIEemgTJRLoPhgk0EObIIFe9RMk0GtGQQI9gIIEeugnSKAHWJBAjxiMT4Ns3LuOT0kk0OPDeipbavXbpfUJeX2N+w033KD0/w/2uz2fJH/Pe96jnnzySbVmzRo/XZ9KX7lypbrjjjvU3Lnyx8dTiTPbjh+BliHQd9llF7V69Wr/LXP9pnmUT7+Zrn/dstNOO6nnnnsuShHmiQEBBiExgDyJTZBAD8ElgR5gQQK9+YAjgR7iQwK9sa2QQK+zExLokziLs2qNAAn00A5IoAdYkEAPbYIEeoAFCfTQJkigV/0ECfSaUZBAD6AggR76CRLoARYk0GfOWoN71/HpkgR6fFhPZUuteLu0Pqx76623quuvv1798Y9/9Alz/T/97bzzzv6V7SeeeKJatGiRn6YJ82984xvqzjvv9En0z3zmM0rzj/xmNwItQ6CfccYZ6uqrr/YN9pFHHlHbbrttU81o57vvvvuq7u5u/8qFK6+8cnZrsoV6zyCkhZQxBlFIoIegkUAPsCCB3nwgkUAP8SGB3thWSKDX2QkJ9DHMziwyGgRIoIdokUAPsCCBHtoECfQACxLooU2QQK/6CRLoNaMggR5AQQI99BMk0AMsSKCPJiJv7bzcu45PP/VYr/yRvsK9M7bGi92D6tGP8wr3OABvpdulH3jgAZ80/+lPf6qGhoInfzRxnk6n1THHHONzie9617sawnL22Wer7373u2rHHXdUL74I3viIA1C20TIItAyB/sQTT6i9997bN2ZNnn/zm99URx99tLK2eM/NcRz/lyPnnnuuWrt2rf/3Rx99VOlrIvi1BgIMQlpDD2OVggR6iBwJ9AALEujNRxMJ9BAfEuiNbYUEep2dkEAf6xTNchERIIEeAkUCPcCCBHpoEyTQAyxIoIc2QQK96idIoNeMggR6AAUJ9NBPkEAPsCCBHjEYnwbZuHcdn5JIoMeH9VS2NNW3S7/++uvqpptu8onzzTdVbz5tvtdee6lTTz1VffzjH1dz5szZKkyaa1y1apXPO5bL5a3mZ4aZjUDLEOga5ksuuUR94Qtf8K9I0F9XV5f/3sDixYv9tPXr1/tkeX9/f+26ha9//evq85///MzW0jTrHYOQaaawLcQlgR4CQgI9wIIEevMxTQI9xIcEemNbIYFeZyck0Kd3oDANpCeBHiqJBHqABQn00CZIoAdYkEAPbYIEetVPkECvGQUJ9AAKEuihnyCBHmBBAn0aLAQiisi964hATUC2eqz3vums2E+g/9/x3/d78eqrr6qlS5dOQI9YBUJgqm+Xtm1bua5b4wz1lfIf+chHfOJc32I9mk8/M62veNd8pD7My292I9BSBLpWxfe//311wQUXqFwu52tmM5m+WU2bfzmSzWb9NwnOPPPM2a3BFuw9g5AWVMooRFr+k6+L3KblwhoMM3g3pP5zKqZI85zgRzFb+wxL1pfNlESx+W0jIq0jWdxa9bW/F5yEyJswcR+jVFqoyPo6gTybClmJlyvx0pmKoM6MLX/11pkqiDrRQr9npE3kSyVkEGABHExD6kVXtiAj9RAFL52nr5iRcoM+I2xdV9qTA3BsJDeS0QF1Ru1LOlkRWcsVS6TZAG/XizY2dGXoBx0pW7aNsBgpJoU8xbK0Ww/ggH5Agca+bgBhjvrdmZF2m7XlWM+Vpdwo3/pBeQUY0kG5JPus5XYGZDt2H9BhcPPTGz4T/BjVkGpRnqxOeUAcSLRL8RqaJyLLFBjCFnCZHWtARmCi3fvKfFYO+7LMBinqtvcMShyHpU24a9bKwq5s2y3KslHHL/ONAQFD6tpMp2RF1R/Eij9UwAABYrgl6ROQtEbCFsnOO94q0grz5UBC4001cst4KhTtoDFoga5YRRl3pHplRmtYDta+t3ZhxQHZkTxOUmbMbpR6aVvdL9oxuvtkn3N5mebK/hlJ7MxKK5eL8oNvAnmRDlCfge2ZjiyMpuDkkMyX7sOnDpLrwaTwerfEYljGS1HtewwjdKtF0A9M3J22F+VGlsm4tdwux3+xUyoBzW9QsAbjCs2ZkLQAU0/UedQBbsu1gZ0ksJAeSPdAeSMpx0KyTY51A8Tb6aS0vaQl4/dCWfpBq8H6rVSWAUkJxEeVnKxTFWVZoyz1b6C1H+ifm4m+/rI6JBZpsE7sykp/hOLtXEn2b2CNPJFklsDadhQ2oVKgjxXguCKulz0b+FaQZiZkvkQSbwCbYE2fBGsMZKNoql/cLn0j0sGizLBwC0kTxwgV4ADQumO4Igc2Wk+i/QC0fkd+C/UFrfN12ZQl+7MpJ9flczPB/mf9Ny8tbbk7L8vOSco4uAfks4HvGC4CR+jvw4K5MCH7gtZlZUf6ib68XPu7YP1eAmvoUh74Iv0j/yGZbubleLWH5Xhb9nuJd/fecs4bWCHHkQd8utbby6efv9X5lxlaCwHuXcenDxLo8WE9lS1N9e3SphnMAQcccIB/RfuHPvQhpfnDsXzDw8P+Ddj6O+GEE8ZSBcvMIARajkDX2Pb09PjXLdx5551KD77e3l4f8nnz5vlXtR966KHqpJNOUgsWLJhBqpg5XWEQMr11SQJ99PojgT56zEigB5iRQA9thwR61SYQqU4CPTQUEuijd7gTXYIEelNESaAH8Hgk0Gt24pFAbzxmSKDXsCGB3nyyIoFe9a0k0GuGQgI9gIIEeug7SKBPdNA/s+vj3nV8+iWBHh/WU93SVN4urZ971qfNd9ttt6mGge3PMARakkCfYRjPuu4wCJneKieBPnr9kUAfPWYk0KtkKU+g14yHBHrVJkig12yCJ9BH71tjKUECvSnMJNCrJA8JdBLoURwSCXQS6FHsRClFAp0E+pamQgKdBLqwCZ5Aj+hRmU0jwL3r+OygHuu9fvgplVwobxCcLGlK3YPqsU9c4VfPK9wnC+U31svbpePBma3EhwAJ9PiwnjUtMQiZ3qomgT56/ZFAHz1mJNCrZCkJ9JrxkECv2gQJ9JpNkEAfvW+NpQQJ9KYwk0Cvkjwk0Gt2whPoTYYMCfQaODyB3nwGI4Fe9a08gV4zFBLoARQ8gR76Dp5Aj2UlMGMa4d51fKokgR4f1q3SEm+XbhVNUI6JQIAE+kSgyDregACDkOltECTQR68/Euijx4wEOgn0La2GBDoJ9C1tggT66H1rLCVIoJNA3wIBj2+gh4jwDXQfC76BHpoE30CvYsE30EOj4BvoPhZ8Az00Cb6BHmDBN9BjieTZSBUB7l3HZwr1WO+pT6AviPEEes+g+htPoMenbLZEBGYgAi1NoA8ODqqhoSHlOM5WoV+2bNlW8zBDPAgwCIkH58lqZZeff1VU7Thm5ObQ6QlU2AMnb62EK7J2ZAsirSudF2loAa4zVVxL5B2uyAeFh0opkQ/9qt1xJRaoz212SdTXk2sTaQgHnSmblOXRr8s7kxKfkiuPsLYniqLt/lJGpCVN6W/bbdlGI2wHy+lItjJcljooA12hN8JTVkX2pSD7gnSlC3rgtBPSQ8KS9tiekjjaALMRYE/pRFnIjfrcCMCyI23ZMqWMxYrUfwWM4XJF1odwcF0jkk51Jgtglk1LW24D9o36h+TJl1H/ZF9KJZmv3IvtM70eYJuT3bZkV5QhVYDxAnYHhqpq2yArdFJYB+k+mTe3UPYls0mO6+SgHEepv70i/X9vn0gzLNmGkZFjUBc0sjh9y0or6zdK3Lyo4EY2UWYcJQJWR4csYYKYYNkSka+4TTtsze6TftTqH5F5B4dEmjsg05y/WyHy5RfLsd5oHG1ZuNHFIIYLBrER3T9GbWfLfF3PyD4rcLpbl+vbY44cr0DsCvApdl5mnPvgelGft6FbpiF5HDB+G4w9xenJAAAgAElEQVRpc5tFos6hVdtJm+qUtudJd6SMrS8dg7qB+pD+XTu6D+684xnpR/v7Rzny6rKDH6yMvbKgZGKnN4kqBt+6QI6j+RJcR4bLmCxHsRbCG9y6ogVBekVzJiLqQTipKh1SIDcpbdQDaYbV4Jg8cIUGiMvstJxv27PSD6KYF8VqKA2tWUZjJ6WiVIRbAeOtDNZBDlIsaD1qPJnCc7+ZAjh2yDXKdnMGRONpsHZ4tnuhyFfIyfUJxKEEHI92KVGxAPnAckIhf+TZ0h6h3YJ1dTIr1yIahFRSYmsnojnSzpTUQcaW7cxLycC64NhCByWw3mlky8juS8ABoDq7gNxpS8pdcuTYyFWk3AWQz/e3wCdsGAaxFegkItXR2hHtOwwWZRyE1oNoTaZF6R6WMVxHWvottA+SK0l8iiCtMAwmlJwcW2YR70UZwJyz66U/WvwXuXe0YV+5Ptnj2KelPYKJB+1j6IK/P+jbo3G7zNsCCHDvOj4lkECPD+vZ0NIhhxwy4d00DEPdddddE14vK5wZCLQcgX7HHXco/VbCvffeq/r65KYtgl0beaUig/6ZoaLp1wsGIdNPZ/USk0AP0SCBHmBBAj20CRLozf0bCfQm+JBAb2o8JNBbM3YggR7qhQR6gAUJ9NAm0I+YSKBX8SGBXjMUEuhVKEigh86DBLqPBQn05rEfCfQAHxLorblGmAlSce86Pi3WY73HDz8d+wn0Jz7xPb+zfAM9Pp1PZkumaSrNBXrodNQoG95cj/5vlAO8o6ye2WcIAi1FoH/2s59VV1xxRbA5M4pBQCNvLWtkENJa+hitNCTQQ8RIoAdYkEAPbYIEenOPQgK9CT4k0JsaDwn00c7W8eQngR7iTAI9wIIEemgTJNCrNoFOkZNArxkKCfQqFCTQQ+dBAt3HggR681iOBHqADwn0eGL+2dgK967j0zoJ9PiwbpWW9BvoN954o7rzzjvVE088oXp7e33R5s2bp/bYYw916KGHqhNOOEEtWCBvwdpaHw4++GCfQJ/o7+67757oKlnfDEGgZQj0W265RX384x/3YU2n0+oDH/iAWrVqlT+w9C9LtvbpQcevNRBgENIaehirFCTQQ+RIoAdYkEAPbYIEenPPQgK9CT4k0JsaDwn0sc7ak1uOBHqILwn0AAsS6KFNkECv2gQJ9JpR8Ar3KhTo1nsS6KHzIIHuY0ECvXkMRwI9wIcE+uTG+rO5du5dx6d9EujxYd0KLX37299WF110kcrlgudbtjwku5n8zmaz6uKLL1Znn312K4hNGYhAQwRahkA/6KCD/Gvbt99+e/W///u/avny5VTbNEWAQcg0VVxVbBLoof5IoAdYkEAPbYIEenP/RgK9CT4k0JsaDwn01owdSKCHeiGBHmBBAj20CRLoVZsggV4zChLoVShIoIeOAmFBAt3HhwR689iPBHqADwn01lwjzASpuHcdnxbrsX7LjZ+J/Qr3J0/4rt9ZXuE++To/55xz1OWXX14jzbu6utTKlSvV4sWL/bSNGzeq//u//6s926zJdE2gf/Ob35x84dgCERgjAi1DoM+dO1cNDg6qq6++Wp188slj7A6LtQICDEJaQQtjl+Et//1lUTg3nIIVGqbcEUjYjshrgnx2QuZrTxdFWduS+RZnhkW+bKIEZcxVkiJ9Q75dpLletOtfimW5S2iB/lmmK9pwXHmbRjJRgXJbhizvARkXZkZE+YQpMestZkW+kmOJtHZb4jgvFfxqcMvPBu1sKrZFMr6+QkbkQ5glgf6Rrnpzsn+uiqZTLYgN9NWRKggZu5Iyracg206A+hAwqC9DxTTEEL1sUijbYLxFsx1kTxVH2ijKZxhoN1Cp+R3SHjOJspAR9bF/RNoEwqc0JMe0BzYiE/1yrCZy2CaSAxJyU4qtLOBmkOvwwMU5EDIA4/wn83KsrV6PbWJI+kJlyXGtli4W5Y287Izz8ppI49davEj60CXzYdnCQjDWy9JG7T89KessyvEWScBZnMlA+gd4eA6YqzNSV2bXHFl6TodI63mbvHrNkE0E5cAwtEdAPDEiK3DScnBVssBvbf3yqoZW0igcAFPe+CwNOHU3IcFJDUgcMuukn9DC9O8u4xsV8cc7JghH5j3WL33H690izcvLseoWZEznVYBjbYAismXke4q7bStqGFwm5wkQVinkqz1L6qCxTUhwF975qpCn8uo6OVdn5FxvLloosc3IGNzIA2x7NkEkjTYZo4zst6PIW+yUc0dhvsTCBVMMmt9QPoS3K1Xly+YBUh6Wl2GQcrIgBgdpZkYavZkAMVSDk9MeSDctaRMofkNxC/KNVsR1FfSrYK3lYwt8QqUiFeugtDJwrigkBH7eK6HgSJqtlcZrIwMU75oj4840WFvt2BlcG1r/vTgg45ZiRRpeviiNLJPCvqy3R86PqgjmKICPNSR14CWAPSEVpMGcnpJpqSyWG/0AFq7VU9L3oDgfrYMqaB0MJla09tN6a0/IthEBn7ZkHwfL0t8iGVEbFeB4BkuyvkZ7CWuHQBwFvLUD1mAO8DFIL2gvAq3V0Jqu0Zo1X5J2n7YltiNF6cQLOZnmDoM1awEZsxwcHavx+i3TK8fHyDZg3nqnXOiN9MmY991veUZopuRKn/BMr1wH6YJ//f++Nr64kKVjR4B71/FBTgI9PqynsqXbb79dHXHEEb4IS5cuVZdddpk66qijVCLxRl+q3xr/xS9+oc4//3y1Zs0a/zr23/3ud+q9733vuMT/yle+4pfff//91WGHHTauuliYCNQj0DIEent7u8rn8+rhhx/2f5nCb/oiwCBk+upOS04Cvbn+SKCH+JBAD7AggR7aBAn0AAsS6KFNkECPNyYggd54DEbVBAn0ECkS6FV7avB7PNMhga4RIoEejhkS6FUsSKCHRkEC3ceCBHrzKIQEehUfEISRQI8awTLfaBHg3vVoERt7/nqsd7vhs7GfQH/6xO/4wvME+th1GKXkkUce6RPh2267rfrLX/6ilixZ0rTY+vXr1b777qtef/11dfjhh6vbbrstSjMN8+gnoDUZ/8tf/lK9//3vH1ddLEwE6hFoGQJ9jz32UE8//bT64x//qN75zndSS9MYAQYh01h5JNC3qjwS6CFEJNADLEighzZBAj3AggR6aBMk0Lc6rUxoBhLojcdgVKBJoIdIkUCv2hMJ9JpR8AR6OD54Ar2KBU+g14yCJ9ADKHgCPfQTPIEeYMET6FGjUOaLEwHuXceHNgn0+LCeypYWLVqkNm3apL7zne+oT33qU5FEueKKK9RnPvMZtWDBAv969/F8CxcuVL29veqvf/2r2nvvvcdTFcsSgTcg0DIE+he/+EX1ta99TV100UXqy1+WV0hTb9MHAQYh00dXSFKeQG+uPxLoIT4k0AMsSKCHNkECPcCCBHpoEyTQ440JSKA3HoNRNUECPUSKBHrVnkig14yCBHo4PkigV7EggV4zChLoARQk0EM/QQI9wIIEetQolPniRIB71/GhXY/1iuvjP4H+zEk8gR6Httva2lShUFAPPvigf7I8yqdvot5vv/1UJpNRIyPyaZ4odWzOc8ABB6iHHnrIP8muT7TzIwIThUDLEOgDAwP+r0P6+vrUAw88oFasWDFRfWQ9MSPAICRmwCe4ORLozQElgR7iQwI9wIIEemgTJNADLEighzZBAn2CJ+mtVEcCvfEYjKoJEughUiTQq/ZEAr1mFCTQw/FBAr2KBQn0mlGQQA+gIIEe+gkS6AEWJNCjRqHMFycC3LuOD20S6PFhPZUt7brrruqFF15Q99xzjzrwwAMjiXLffff5N1HvtNNO6rnnnotUplGmb3/72+qcc85RJ554orruuuvGVRcLE4F6BFqGQNdCPfvss/4bBT09PeqrX/2qOu6449TcuXOpsWmGAIOQaaawLcTd57f/KjpQKCVgpxKWK9Jhminzpe2yKNtml2R9hiy7ID0s8tkgn840UM6IvMPlpEjrTBYiKW59rkPkGymlRBp65y2blP3LJCQOurJhUGexIvWwuH1ItO2C3f8R0Gf0Y4B52Zyorx3oRWdKAMwRmWyCxzEHClIvHSmpgyzAZ8OI1IGHNu8aaDSZcMRftm0bFGlI7pcG5ol8xYol0gyw2b5dx4DI9/pwp0hzXLxTn7Sk3K6Seb1G7M8WLSE7cRu0vaWQaJzrPKlEJRKO63tlv92KKcp6ZZlmDthy/A9IHBLgx6uJIjYKe1gaUCUN9IBUA2zPlKpSiHQwJVyqY61MTK+X41L3xHxNXnHlFaWfcXbbQXYcGKnx4OMinzVPxmGD71wufV5G6kpnQj8myG6Qfs/+w8ORfPBszNSIFDeSci4zu+bIcZSXvtUrysFgAl27i7pEfeV50n8PbQ9kAfbdUH9gHCHbMSsyo2cCPyjdMm464vjVhec8KX24OSKxHX7LQtkWmKTKbWDMgHEJXXoDQhdhhjqO6kRhlD0iY7DO/9sgbaxfYuMNSyfslqR/GveYPmAvUUX/Ltlo1QIcXSui71dKta2XRt72t3USny4Zt/SskmMLCe0mpDzJYamXOc/J2FjXV+6SMWp+oZxHix3SHsvtQCKEGVgmOLJZ5YF8lQwO4FBeiI8NyreDWMSWE3MqI+ciFEOheKmRgbkO8EcuiGXAGsoA8bJhyv6lk1LuFIhtLbD+0nKPFKW/LpWlclBMWClL55pMSbxRX8qgLMI7AXSl5Ub9bk9Jn9KVykeKRYfAWitqHLsIrEV1o4/3NH/rc7Ng87PSP/bmpd/qH2iT/uT1tEwD48BNSz9hJEGAqpRKtkmbas/IOAGtZdFYQGuoDlvWh9aYJRQwK6W6kjIWLrnSbjOW7MtIRdr8cFk6qXYgI+pLb1HqasOw9PMam1xBto3GVikv/bICk7UJxjoaRxYYRyif3WC8WcBHofV2bkjaowJrOpWXfjDVI/3J0rtlXNW3K2hDKbXdx14U5vdi73yRVixKO8lmosUjaM2L1uS60QcOuyRa7MFcLYMA967jUwUJ9PiwnsqWNHl9+eWXqwsvvFBdfPHFkUT5whe+oC655BJ19tlnq29961uRyjTKVCqV1P77768ef/xxde2116oTTjhhXPWxMBHYjEDLEOhvfvObfZlyuZz/5oFhGP7/9BsI2WzzTRCdb/Xq1dRqiyDAIKRFFDFGMUigNweOBHqIDwn0AAsS6KFNRN14JIEeYEYCPbQdEuiN5x4S6CE2JNCrWJBAD42CBLqPBQn0Oh9KAt0HgwR63dwBfpxAAj3EhwR6gAUJ9NAmSKAHWJBAH+Om4jQpxr3r+BT1BgL9urOVvUAeqJgsaco9g+qZky/3q3/11VfV0qVLJ6upWV/vunXr1MqVK9XQ0JC64447tnoK/c9//rM69NBDVUdHh3rkkUfUdtttNy4M16xZo7q7u9Upp5zik+h///d/rz760Y+qPffc0z+ga1nNf2W/bNmycbXPwjMXgZYh0E0Tn1yKAr0m0B0H/5o2SnnmmVgEGIRMLJ5x10YCvTniJNBDfEigB1iQQA9tggR6gAVPoIc2wRPo45/FSaCHGJJAr2JBAj00ChLoPhYk0Ot8LQl0HwwS6HVzBwl0HwyeQA9tgifQAyx4Ar15nE4CffzrmFaugXvX8WmHBHp8WE91S3/961/VscceqzSZ/slPftK/Tl0T2Jt5P8/z1GOPPaZuvPFG9YMf/EBtu+226uc//7naZ599xi26bkNzhPrT7Wz+/1Eq1nkrldFcoRelVuaZKQi0DIF+0kknjQvT66+/flzlWXjiEGAQMnFYTkVNJNCbo04CPcSHBHqABQn00CZIoAdYkEAPbYIE+vhnchLoIYYk0KtYkEAPjYIEuo8FCfQ6X0sC3QeDBHrd3EEC3QeDBHpoEyTQAyxIoDeP00mgj38d08o1cO86Pu3UY73rtZ+L/QT6s6d82+8sT6BPrs7R7dK6xWQyqebNm+cT2ps2bVL6qnX9aZJ70aJFTW+eHs2t0zycO7n6nc21twyBPpuVMNP6ziBkemuUBHpz/ZFAD/EhgR5gQQI9tAkS6AEWJNBDmyCBPv6YgAR6iCEJ9CoWJNBDoyCB7mNBAr3O15JA98EggV43d5BA98EggR7aBAn0AAsS6M3jdBLo41/HtHIN3LuOTzsk0OPDeipbGg+B3Uju0dw6rU+1j+fjm+njQW9ml52xBLq+0n3t2rW+9viGQbxGzCAkXrwnurVj/nyWqHJuMgebKbvy/ZCNhXaRN1+2RRoi2iqufMqhM1kUZZdkBiJ3e6CcEXnbrODXbvVfBqShRh7rlW+yjJSSkeRpT8m+JC38/ERfPivqRBth7QCf4VJKlO0fkTjYCdl2R1rKmE6UYf8KFanXQiUh8prKE2mukrv/HaAvRUfWV3GknVRv6YmkhznpvMiXMF2RhnSA+ufJ7qmMLa/+aQP9GyqmJV5gk09nclyJGcIRgWCBOm1ge6WKHNOoDc/D7A2ScXBA2rJXAm8PFaRerbxMswdk2/aw7DUisYEp+gXtEanEcjvoI9B1uk8mZrql/vt3kuMF6qogUzvXSJ+lc6XWDUp/u2yOSCvMl+Mou0GO6/Sz60XZgf3kG2HlNolNA7NVZlniM/eRHukT1gQxW/1nJKTcHrhWyytLvK0dpNxeWurAS8o2tAxmXuJTeXa1lNEEWIC3tTzw1BBKM1PAJ8zrgr7NXTRPpHtp2R9rExggwHFVFgPbWSjnk3IW+CIb4NDgdSXDBQMJOHH04ws0hj30lBloAoGI7NaQ04FfdO4fXxZVVF7fEGnesXbfSc4xe8+XZYHbMRwwhwK8dWWNZN+yIYStAfSV7pVjK/v8Jim3C0ADz3NVXngxEl6NMplJGW/1HL+vyI5+aAHrRFMZsB23Ad6pAdlvJykrRT4ThEHKBe6oLKdQ5UWbTvwuGyCEs0Aash0HhLdo+nelm1DlDgmkk5FpXgoPOM9CigB+BhW3ZVnDlgZuJWWaB9YiozFaC7RjAkfjNoijpFOXraeSclymbalUBzpRpQwgD4rB+wty7VAoSuNLp2TbC9vkvINi3lxJ1lcs43k5BWJrtG6xQQCIYlmkg0yDNc+WWkBrVp0HrY0WZEaEEpdkZPz2/OACke/Vv8p1p5MG9u2geRmMoUSDyTElx4IJ0jo65BqqDNYO7WkZt5YcOVm3JWU+ZJ9+XAbsts2W5dG6MwfWrKg+NNbRWrRvRDrmfA7vB7hDwGFX0BoDpCF9JaXT2+1CGZ88fcmOMmYFPs8wsU24RakvD9hZYkCOVzcp67T75Zou1S8RNw/uFYnzsngvKl+WmG/oke8qmwmJmQn63dEmF2HIHkfyYNJTSj1z9BdHM10wbwsgwL3r+JQwkwl0/Xb37bffru699171xBNPqI0bNyrbtv2ryd/+9rf773G/853vjAy2ruuqq65SDz30kP+e98KFC9V+++2nTj/9dHX44YdHqkdfRX7ttdeqm2++WT399NNqeHjYf19cvzf+2c9+Vu2+++6R6hltpvHeLt2oPd46PVpNMP9EIzBjCfQnn3xSvfWtb/XfWOAbBhNtNs3rYxASL94T3RoJ9OaIkkAP8SGBHmBBAj20CRLoARYk0EObIIFe9RMk0GtGQQI9gKKPBPqoQ1gS6FV/QgK9zp8AMyKB7oNCAj20DRLoVSxIoNeMggR6AAUJ9NBPkEAfdVg27Qtw7zo+FdZjvfM1/xT7Fe7Pn/otv7MTfYX7QQcdpO65556tAnn88cera665xr/KvNGnrzPXb4Zr8rzRp0n0K6+8sunb3vqK9COPPFI9+OCDsJpUKqW+//3vq5NPPnmrcjMDESAC1XjJ0yN0Bn6bCfTRXPUwA2GYki4xCJkS2CesURLozaEkgR7iQwI9wIIEemgTJNADLEighzZBAr3qJ0ig14yCBHoABQn00YeuJNCr/oQEep0/AXZEAt0HhQR6aBsk0KtYkECvGQUJ9OqGME+g12yCBPro47LpXoJ71/FpcKYS6DvttJNavXq1f9r82GOP9U+a61uQ9a3I999/v7rssstqtyMfd9xx6pZbbmkI+he+8AX19a9/3f/7ypUr1QUXXKCWL1/u13/ppZeqRx991P+bznfxxRfDenS7hxxySI3UP/roo9Vpp53mvz+uCXVdTp+QtyxL3Xbbbeqwww6LzwjYEhGYxgjM+BPoJNDjt04GIfFjPpEtkkBvjiYJ9BAfEujVjWxe4V4zChLoARQk0EM/QQK96idIoNeMggR6AAUJ9NFHryTQq/6EBHqdPwF2RALdB4UEemgbJNCrWJBArxkFCfQACp5AD/0ECfTRx2XTvQT3ruPTYD3WO10d/wn0F06bnBPo//AP/6A+8YlPqGOOOcYnpbf8enp61IEHHqiee+45/0/6tDq6zv2FF15Qu+22m3+D8r777uvny2TCp3RyuZzSp90ffvhhlUgk1DPPPOOT61t+N9xwg9p8jfpZZ52lrrjiijdk0e2sWrVKDQ4Oqp133lk99dRTfn38iAARaI4ACXRayIQjwCBkwiGNtUIS6M3hJoEe4kMCPcCCJ9BDmyCBHmBBAj20CRLoVT9BAr1mFCTQAyhIoI8+vCWBXvUnJNDr/AmwIxLoPigk0EPbIIFexYIEes0oSKAHUJBAD/0ECfTRx2XTvQT3ruPT4Ewl0KMg+D//8z/qfe97n59Vvz9++eWXi2Kf+tSn/GvV9adPrr/tbW8TeR544AF1wAEH+Omf/vSn1Xe/+12R5y1veYtPis+dO1dpzLPZrMjz7//+7+rCCy/003/+85/75P9M+cZzLb0+gKvfjedHBBACJNBpFxOOAIOQCYc01gpPffhE0V7SrEAZLCWP3v6le5nIi0i1edmcyFesyF++pRKy7R3a+kTZVAMZi66ss8sGbYN8PaV20c7a4TkizTJdkVZ25a8Pl2SHRL6KZ0Js+4tpqQfLEWnZRFmkDZZSIm39YKeUsSJlTKdkfY02GFzPiISFDfAxDGk77cmiqG8Y9MUD7aL6RiN3xZF6QBuPCdAXpH+U5riyDdQXNF40MI02QrcEzTKkPbanJLZdqYLAu68Q/sp18x+RjeZK+O2mvr42Uaebl2PQKEoskv0yzR6UwyORj+YSkUtwG5AOmR6JWWGelMcsgbblMFBoWFtFafNgGKgFf3hZ+ol1r+NOG8BuD1kp8uYWS32BYaSAG1QIx0pGdhoR5VoQOyf7nShIvFObJLhORvooJYuqcqe0sWInGG+gOqQXLbdnyj7Ou+MFga1Xkj5TIbIc5fNkZ8w50ldXlm8H9T+8gxyvbgL4ZWB7HoLWRsYczeZBOKAUqE7XBlwUHDNR8yFbRmMLgYjKNvIw9ojUV8fTMh5Rr8nxanR2iGp7D94hkjMzK3IMeRYG1yyhvLIZ1JfUJjlPJF7tkT59UZdIK80DtgjsKf2/j8M+u0U5H6GMiaVyLGw8TOKIfqRhgaHa9fiA9LddMv7qWyHTdEEQ6ikPHOIoyWGtkO2hcemApt2U1DOcn3whgU8Ac5kF5lY0BpFeHKl+VeqSMrqdMqY3kjK29f0EGMQuiNWQ77FSIF7OyE6nbWkUAyOyM6uWvgrtdn1Ojutl7f0i71ObFos0tOYplaXxoFjbKUsH7lbAvGyDCVMplQKx/tw2aQBIByWwVhspyhhj723Wij4/17tQpA3kJN6of7pgKi11uMM86YPzZRns2WANhbAtOlIHc1MSm0brt5GyxAKt//pLcmBvGJb21L9JxtVoTCMDbZsr5R7eJDfSdVkTjBk7LcernZBjqzMj/XcnWGNUwDqoLy/lQesYLWPCAjET8BNJS8rdbkvbQWu6AtD/ppzUQf+wtNvSkFx/+3pBAQmawsFV6hYYw3ZS9i/qmhzlK60DNqbjYOCvPeBnDPCjjNTLchwUtpVyJ3vkeEvuJudlZGMa2t5haT/lgqwT4djVLveDkI0h3zGQxzHBY//w1UhxHTO1DgLcu45PF/VYL79Kn0CX+6qTJU25Z0CtPn1yTqBHkXl4eFh1dARzvH6bXBPq9Z9+WXn77bf3r3pfsWKFevrppxtWq//+7LPPqqVLl6o1a9a84S30559/Xu2yyy5+Wf2W+g9+8AMcv65fr5YsWeL/7aMf/ai6+eabo3Rj1Hn0W+z6xwAvvviiGhoa8q+139r3xS9+cWtZmv7dNM2m78M3Kqx1wBusxwX9jC9MAn3Gqzj+DjIIiR/ziWyRBHqIJgn0AIvRENGIOCaBHuBIAj0cWyTQAyxIoIc2QQK96m9JoNeMggR61SZIoNdsggR6AAUJ9LqVD3hGhwR61XeQQK8ZCgn0AAoS6KHvIIEeYEECvc4mwI80SKBP5E5j69XFvev4dDKbCfTe3l41f/58H2x9Ev3Xv/71G4DXBPPm69jPOOMMdeWVVzZUjP77VVdd5f9dl3vTm95Uy3vdddepU045xf/3j3/8Y/WRj3ykYT277rqrf628fq/9lVdemVBDWL9+vTrnnHPUrbfe6l9JP5ovCsnerL4dd9xxqwT6yMiI0lfr60+T5gsWLKid1H/ppZdGIy7zziIESKDPImXH1VUGIXEhPTntkEAPcSWBHmBBAr1uYc0T6D4YPIFe5395Aj3wE2XAYvAEes1Q4El1nkAP8QGXsZBAr87BJNBrdkICPYCCBHrdHEwCPbAJnkCvGQVPoAdQ8AR66Cd4Ar06d4CrT0ig163zSaBPzgZjC9fKvev4lDObCfRf/vKX6uijj/bBPv/889Wll176BuBvu+02pd9S19+3vvUt9bnPfa6hYvTfNTmtP13uiCOOqOXVdf/nf/6n/+9HH31U7b333g3r+cd//EefyNcEsj4d3taGbyMZrYV0d3er/fff3yfl9anu0X6ui29PGm09W8uvf9Rwyy23qC996Us+gf7f//3f/ul/fkSgEQIk0GkbE44Ag5AJhzTWCkmgh3CTQA+wIIEe2gSvcA+wIIFe5zqsz7gAACAASURBVJZJoAd+ggR6aBS8wj3Agle412yCV7gHUPAK99BN8Ar3qpvgFe41o+AV7gEUvMI99BO8wr1uDcYr3H0weIV7aBO8wj3WbcIZ2Rj3ruNTaz3Wb77qHGXPj/EK900D6sXTv+l39qGHHqpdX96o9/p69In6NCGs3y3X7ervL3/5i9p3333fUL0+cX7mmWf6af/1X/+lPvjBDzZsXr9Zfuyxx/p/1+X0ifTNnz5x/tOf/tT/pyayNTHc6NNvqF9xxRX+n5955hmlT6RPxHfWWWfVTtBrOXW/9tprL9XV1bXVk+ET0f5o69DX5Wv96DfjH3nkEf+//IgAQoAEOu1iwhFgEDLhkMZaIQn0EG4S6AEWJNBDmyCBHmBBAr3OLZNAD/wECfTQKEigB1iQQK/ZBAn0AAoS6KGbIIFedRMk0GtGQQI9gIIEeugnSKDXrcFIoPtgkEAPbYIEeqzbhDOyMe5dx6fWViHQo/R4LCenG9V72WWXqfPOO8//81FHHaV+8YtfiKzf+MY31AUXXOCn/+53v1OHH354QzH13zefOtenzc8999xaXv2++m9/+1v/3/l8XqXT6Yb1/PM//3PtJPzDDz+sVq1aFQWarebRV8Lrt9yPP/54dcMNN2w1fytk0O+uX3zxxepf/uVf/P/yIwIIARLotIsJR4BByIRDGmuF//inT4v25qVGoAztVkmkPzO4SKRVXHk3K7pKbd1wpyibtByRtnLBayLNRTuRSqmBciYSfsPllMiHiGNEoPYWZBuLMhKzbKII5Ab31urFsSn7bSp5BU4C5OsudIh2Xh6Qv6QbzMuAKp0si7JGAxIEyYjyIhwztrSdrlRBtN1flDKWnASwE/m2DrIdP5is2KJ8qSLrNMAD1agv6N13pKsikBu/ix7JZP1MCO/5WWl7nba0vbQldT34/9j7DvC4iqvts3vvVq1W1b0DNmDAYIjBJLQYQktoIQSSQGiBEOALBEISvhD4EwglhfKRQgklEAgPNdSEHjAdTLMpxr03dWl7+5+ZK+lKfs+ur6TVamWfeR4/tmenvufMmTPz3plJId6N8SA0aPVG/svMbBxxNBqZuAQqlbcV+22gSpCBXSEjiWOj7r1GKDBTydsDc9UmSNt00CRsEEeWM3Hs1dMGFlfzSTvahHkLHCuAOXV7SNs4G22wGWOuz2LanUVRse+0ZzyYmTFFum05zsQxzeHScTjmI2UBCKaOLA59qv2IUbw8EnC3o0Lm1m9EGcZRSV1erNwdwqvS0tuPhfKad8IxqBJxmHNTIWPKKMvoI2MSiJl2HOsnK3tlt5ib2Zy2kavcse44bXmeOY/Lztme8Bc4ruOjUIaJakYIjFHnPk5hxwYRGQkEt2Ih2kIWig7G1/Ohb9S252jUec4mME/eBR+1Tl/geHV2XZ/LQMxavrc32nqmPd4OrCPQgPNgZIwXyktU8UqRZvalUujKUjqIBokdH4y9zHLvWJucgcujuNwV5xGsyNvGTXDOBk0qhOnSo9HP81ZgnMeD/m6+WpNJnKQ8HlS0mooYFBFmfMxaXxTSbYxhZ8JexvEgomUttZD/kHELIe7fK6ZDXHQxnrzyb98G6aqD2Jcg40M3RnE+SaUZG0NE6QzKP+hH2QQ8OD4SKZRBawR9q0O2QxwWNI9Bn6UD2x2L4BhUGQOM/oQDOC9zbxZXMn7wxgjK2sfoU5UX64gzPr1qY1scjYLJEL+cjiczKC9OhvEE+hMjqjqgSL+J8lu+0XqDdfNgcFdXM2OT08fxIfSj3MwkZTJxDQmUf741Pbd30JbEOYpLFzRRv+MZxLExhnN1G7MWjTO2KMvsdyic3czzX9z6jdNlbp1Yydgybo3JrVkjSRxb8STjHBMRp3vcmndUGH2eFONkxpm1tofBJpPFuaid2bNQ2CYTaI8qKtBeTx+xAXSe09FlrTg+TGYvipOLquDNQ691NmlKqrJBQPauSyeKnlhPGYIT6Ms6T6A76XGxCPRXXnmFDjnkEP0O+MiRI+njjz+mUaNGQROuvPJKUiSuCi+++CLNmTMnbzNfeuklOvjgg/XvKt9ll13WnVbFq99VUG+Ju938XrP6XdWn8qswd+5c2m+//ZxAs8U0gUCAkskkvfzyy3TAAQdsMX05JFD9P/DAA/UV7p9++mk5NEnaUIYICIFehkIZ7k0SJ2R4S1AIdFt+QqBbWAiBXlgnhEC38RECvXPMMFxQTgh0W1GEQNdYCIFuq4QQ6J1YCIFe0IkWAr0THiHQu/VECHQLCiHQbdMhBLqFhRDotk4IgW5hIQR6zzU9LtaEQB/e+5j9ab3sXfcHtf7lKRcCvVRXuH/yySe0//77U3NzM/l8Pnr22Wc1ScuFrekE+vbbb0/Lly/XV9YX61R7/zTOeS71XrxqazAYpI4O/CDReUmScmtGQAj0rVm6Q9Q3cUKGCPgiVSsEes+FFXfiGxdbcgLdxkxOoFtYyAl0WyfkBLqFhRDoPSYpIdAtOyEn0LuVQgj0TiiEQC/ozQqB3gmPEOjdeiIEugWFEOi26RAC3cJCCHRbJ4RAt7AQAr3nPo8Q6EXaPhzWxcjedenEVy4E+qpVq6iYb5xzCC5btkyf6F67di0ZhqHfNVfXt+cLW9Mb6Keffjrdc889dMcdd9Bpp51WOgUbQE133nkn/eAHP6Cqqir9wYMEQYBDQAh00YuiIyBOSNEhLWmBQqD3XFgJga7QkBPohXVCTqDb+MgJdAsLucLd1gm5wr1TJ+QK926lkCvcLSjkCvce7m1OrnDXaMgV7gXXPHKFuwWPXOFuq4lc4W5hIVe42zohV7hbWMgV7rZOyBXuJd1OHFaVyd516cTVE+vJt15Mnjp8ymawWpNqbKXlP/yjLn6wCXRFmquT50uXLiWXy6XfAf/+979fsGtPPfUUHXXUUTrNDTfcQBdeeGHe9Or3iy66SP/+9NNPd7+Hrv6v3lpXb66roE5V77HHHnnLOeaYY+iJJ57QbWxvb6eKCnxSpT/yUCfvv/SlL9EOO+xA7777bsF32PtTfrHzqI8d1M0A6t12deW8unpegiDAISAEuuhF0REQJ6TokJa0QCHQbbjlCncLCyHQC+uEEOg2PkKgd44ZucK9WymEQO/UCSHQu3VCCHQLCiHQe7i3QqBbYAiBXnDNIwS6BY8Q6LaaCIFuYSEEuq0TQqB3TifM1T5yAr3nml5OoJd0k7FMK5O969IJZlsg0BsaGjQZ2/WO9p/+9Cc677zztgiyItvV1ecq/PCHPyR1Ij1fUL/fdttt+meVb8qUKd1J1UnqM888U///n//8J5100kl5y9lxxx3piy++oIkTJ9KKFSu22Ma+JFB1n3rqqbTvvvvS7bffTtOmTetL9gGlVafftxSy2aw+af7ee+/R448/TtFoVH9IcP/999OJJ564pezy+zaKwFZLoKsBoL52USHfOxPbqMwHvdvihAw6xINawfFvnAvle91pts5KMwHxyzpqIS6a8kKci1nUbWgOQzrDwMXNPuOdT/AtyQCUGc+YEOc3sI+m29mJKO4K96nhBqij1huBuFjGw2LrYzDnCH0uf0sqCGXObxgDcZE4yiXgS0G6HHPdskpkuPEHr5GB/AFPEuLGVrRBXJKRS0ca28gB5nVjvVycysvJP82wfLEUyiZLLqieu66da2M8zct687Qmg6FKk8nizjpH3m8fbnRkI1ZH8Ktfro3tcR+U19bEf6FqNGIffU2ImYd5WiiwCcdbOsDgzZijqkVRaKP5xWrEwWDYCSLKThgFaRtnVKI9QlUmjiDm4gwcWlT9xHyoI8O8u+QOoB1TGaOHzsD8XsTMkUKoa+YZeFgCnPuqJp+hcFo5ky7nZvrCdY+7Ep55cz68LA61eJasZ1uYHVGDY33dJohLb3I23owaHG/Z7cZDeS07h9AG82pLjNljbz9gpxkOWm7K4+y/Qxlw17KrzrE3NHDEISNDXh9RhJzbknM4NPK4PJRF14GMJAMQMz5cWUzntD1mDPOGFreweuvagPqYbcX5lgwE1z2iDsqMTkffIV2BeSs/bcL2rN2A9qm11bFFMCrRBmfa29F3OHwWxLVPcDbfujN5HJzNSsz4eOVJM6Y5gW4wJauYwcVdw+5DX4YMzsAx05uX91ldjC+basN53R1jfIw49jvrw/ZwccFRONF7TOyfyfj5+ZQklkC5ej1Y5phK1Pk1rWiDa4PoO9T4Y1C9n5vAiajGi/k5/31llFkbMT6hyRjHXarWQXs2JHBsLGmrR18t7mehrPCiM7O+EfHxeNHhSqdRT3YZi/PoXtUroe5FkZEQ92kT+l/tUb7dfi86Uj4T28j1L5VFu8WRidw6ptKHvgO3JlOdW7YR7ejYOrR7ARP70pbAficz2O5kilnHerC8iVU4TyxqRD1R7U6lsZ7aEOo3dy08t3bIMhMcd7V+BbNGDDLYqDZy45BbO3qZNT3Xniizxuxg9iwiSbSX3MDKt37j0tb5EduQB/dVuLxxxqnj2s3pUzSJNjSW4Nfa3F5NVRDHgp/RPYOxZdXMOIoydjCRRv1uzyMDbixwe0dHTVwAUL7VOBni1rSgHeT2RvyM3VGFvf616xz7OJKwPBCQvevSyaEXgX7LEJxAP2dwT6C3trbSnDlz6P3339egXnvttfTzn//cEcC5XE5fK69Or++000702Wef5c2388470+eff07jxo3Tp+kV8dsVFCGuiHEVzjnnHPrrX//KlrN+/XoaM8Za433nO9/RxHGxgyKnv/71r1NjYyPNmDFDk+jqjfFCQfVFXf0+kOB2u3thsqWyFPYqXHDBBfr0vwRBIB8Cw4pA/+ijj+jhhx8m9VWP+srm5JNPprFjx4p0ywwBcULKTCB9bI4Q6DZgQqBbWAiBbuuEEOgWFkKg2zrhlHQWAr2Pk5Em9IVA1zZYCPRu5REC3YJCCHTbniSFQNdgGEKgdyuFEOidvpoQ6N06IQS6BYUQ6PbcIQS6hYUQ6LZOCIHe97XacM8he9elk+DWTKCrA5yHHnoovf766xrQX/7yl3TVVVf1Cdxzzz23m/B+8803afbs2ZD/rbfe0qe6VVDp//znP0Oa6dOnawK+trZWE+wcaa3I/UsvvVTnffDBB+mEE07oU1u3lFgR+epN8S48tpRe/a6IbEWgZzLMx8ROCuhMowh0p6G6ulpf266wVPKTIAgUQqBsCHR1WlxdbWGaJj3zzDOkFLlnuPXWW/XvXV+HqN9CoRA9+uijdPDBB4uUywgBcULKSBj9aIoQ6DZoQqBbWAiBbuuEEOgWFkKg2zohBHonFnICveCMKyfQbXjkBHrn3OrwRLycQLd1R06gd9lbNDdCoNuYCIHe6asJgd6tFEKgW1AIgW7bCSHQLSyEQLd1Qgj0fmweDvMssnddOgH2ItD/+lMyS/gGelq9gf6jP+jOFvsN9GQyqd8vf+6553T56iTzjTfe2GdgFem8yy67UDqd1m+Iv/rqqxTocQthLBbTZK862a14M3VN/NSpU6Gente4Kw5NXSPfMyxZsoT23HNPamtr09fGq9PsqrxihZUrV9Lee+9NmzZt6ubvwuEwVVVVkRNyW71JPpDg5Dp61Y7KykrgHQdSr+Td+hEoGwL98ssv11/oHHHEEfT000/3Ql4NIHWNRSqFV1PV1NTQwoULqb6ev45q6xdh+fVQnJDyk0lfWiQEuo2WEOgWFkKg2zohBLqFhRDotk4Igd6JhRDoBadaIdBteIRA75xbhUAvPGbkCncLH7nCvVtP5Ap3Cwq5wt02HXKFu4UFd422XOHeY/3GXCkvBLqFjxDotp4Igd6XXcOtI63sXZdOjlsrgX788cfrg50qqCvcFXne81r1zRH2er153wRXp8LV6XAVZs6cqa+AVyS3Ir2vu+46+uCDD/RvKt3VV1/NCk+d4FbPGHed/lbtO+uss0hxZ++88w5deeWVtHHjRk1mP/XUU5qDK2ZQJ88Via/Kv/jii/Xp7kmTJhWzCilLEBgSBMqGQFdf0qgBftNNN9H555/fC4xLLrmE/vjHP+qvb+677z594vzZZ5+lU089leLxOP3617+myy67bEgAlEoRAXFChrdWCIFuy08IdAsLIdB7bMDIG+gaDCHQbZ0QAr0TCyHQC07+QqDb8AiB3jm3CoFeeMwIgW7hIwR6t54IgW5BIQS6bTqEQLewEALd1gl5A93CQt5At3VC3kAf3vuTg9l62bseTHR7l721EuiFyHIOXUUmL1++nAU+m81qslsR0PnCmWeeSbfddlvB09zq2eMjjzyS1E3PXFAkvjqZruoqdlDPLatT6BdeeKHm8SQIAlsLAmVDoKuvapQRefHFF+mggw7qha+6lmLp0qX6Kozrr7+++zf1NcsNN9yg34Doy9sKW4vwyrUf4oSUq2ScteuUt38ACZNZ/kqXddFKSNvGXBcY8ODtEbGUB/K2NFVA3LjRzRC3Q1UD5k0G2A62JvwQz7XH68a3VrLM1+pcXGsS65gQaoF6JwWbsN0pvt3pnOFIYF532pG8lrXXQrp4GmXgcuUgXTrDtyWTxd1/nwfbU+lNYJlZfJsmxdRT4UlCXjfTRg6sjpSXxTDDMJ4Gw+jkGPlzBXKn0mNJxJZL5zcRL0eC70xU7YtB8qCJ421FWw2k4/hO08hCuo64D+La14fYZnob0Fb4GjGptx3jfC1Yd8aHOhZehn02F6/B/kUxnWskf1tN656jcRxVYt2htSgv33/nQ15XAG1CtiPiSLTGqBGQLjpjHJs3Gcax6ZScZL4FYetgh4HLIfOXp8cOhxZxbeT6x33lw5mJ6rfWYYuY2410IgNtVK65FfJnGLm6vWh73JPHo/2fifqYNRFbx3gREddvdgpHU8/izSsFxjJTKPWl3dyHKBwWLsZw5Rh95NJxfXGjuSTuynSVNxVC2RgJBkhufHAGl0nnb0Qb4393MTQ929rGi2YA78a5DLQnRh36DrlYHMdBO2PUmRaadXV8u5M417cdtgukDX+OPmHD3kwbneoENw6YFnJzkUqWDGPi6Dicy3JhlOuYMdgXzr/hfKP2GM7LAR+jzETEEYytUZyj0mmUfyqOc3qO8d8qq6MoqwDqCUds5fODuHXC2uYqqCcYQN2p8GIcp3icD8W1x028onD9CRgohwBjaDoyOE9w6621EVQyVk+yKD9uLaJwqDRRNlnGCL+zYSLAVu1H32pEAP2b0X60USmmjk0JXEt+0YB+kGoIt0apDmJ7PMyElMigLnM4cnlrGV+b8+lVG+NprCfO1M3pI7cu49Jxa9EQs9YKMWuopc1oL1UdnP8/ugLtensKbU+dH8d/klnTcetln4G20Ws4f//Uz+Q3WUcRkeTkEmXWxhzenJ1IM7ZRY+vGOSFkoo3idIrTpwizvuV0h1unc2vgdIZ/L9btRrtXF8Sxzq07a32oExyOnM1rYfZVmmNB1neIJNCOzhi1FtIeVLMQ4u5bvTfEJZnxy++N8Ji9ewR/IpRtvESWBQKyd106MfTEetJfSn+F+4pzB+cK92IS6F3SUM8aK5JcEeCKDFc3Ls+aNYt++MMfOj4xrq6Cv/322+n+++/Xb6JHIhEaO3asPpCquDV1XfxgBPXmeiKRoLlz59KXv/zlwahCyhQEhgSBsiHQ1ZsIakCrKylmzJjRDcaaNWtowoQJ+gqM1157TZPlXUGdQlfXTdTW1mqjIqE8EBAnpDzk0N9WCIFuIycEuoWFEOiFR5MQ6DY+QqBbWAiBXnjMOCZWGZ5eCPTC2AqB3jkGHd6IIAS6rU9CoOcfW0Kg29gIgd7D52HIOyHQLXyEQLf1RAh0Cwsh0G2dEALdwkII9P7u2Em+YiEge9fFQnLL5WytBPqWe75tpeg6HPv222/rt9yHMjQ1NdFdd91FL7zwAi1YsIDU/1VQHOKuu+5KhxxyCJ1++un6/xIEgS0hUDYEut/v12+cb/6VygMPPEDf/e53qaKiglpaWsjocTriww8/pD333JM8Ho/+wkVCeSAgTkh5yKG/rRAC3UZOCHQLCyHQC48mIdBtfIRAt7AQAr3wmBEC3cKnRU6gdyuKnEC3oJAT6LbtkBPoFhZyAt3WCTmBbmEhJ9BtnZAT6BYWcgLd1gk5gW5hISfQbZ2QE+iF12Xb8q+yd1066ffEeuKfLyGzDm8VGqzWpBtbaeV5v9fFr1q1isaPx5vhBqvuba3cc845R598V1fE/+hHPxqy7t96663005/+lKJR60aU3GYf13fdHKBOzKur5s8+++wha6tUPDwQKBsCXZ0yX7t2Ld199910yimndKOn3ndQX4yoayaef/75Xqi+9dZb+koIdZ3Fxo0bhwfi20ArxQkZ3kIWAt2WnxDoFhZCoBce00Kg2/gIgW5hIQR64TEjBLqFjxDotp4IgW5hIQS6rRNCoFtYCIFu64QQ6BYWQqDbOiEEuoWFEOi2TgiBbmEhBLqtE0KgF16Xbcu/yt516aQvBHrpsB7KmhYvXqwPuqpT3e+///6QnO6+9tpr6Ze//GU3aV5VVUUzZ86k0aNH67gNGzbo269bW63n+RSZfs0119DPfvazoYRO6i5zBMqGQD/uuOPo8ccfpwMOOIBeeuklcrvd1NjYSDvssAO1tbXRb3/7W/rFL37RC8777rtPk+3q7Yb58/EN0jLHfqttnjghw1u0QqDb8hMC3cJCCPTCY1oIdBsfIdAtLIRALzxmhEC38BEC3dYTIdAtLIRAt3VCCHQLCyHQbZ0QAt3CQgh0WyeEQLewEALd1gkh0C0shEC3dUII9MLrsm35V9m7Lp30hUAvHdZDXdOLL75I3/72t2nkyJH0f//3f/S1r32tZE1SV7UrsjyTydCYMWPo97//PZ1wwgn65uqeQb0R/9BDD9Ell1yiD/OapqlJ9cF6G75kAEhFg4ZA2RDojz32GB1//PH6y4999tlHnyx/8sknadGiRVrR1Vcs6pR6z3DeeefRX//6V1Lk+yOPPDJoIEnBfUNAnJC+4VVuqYVAtyUiBLqFhRDohUepEOg2PkKgW1gIgV54zAiBbuEjBLqtJ0KgW1gIgW7rhBDoFhZCoNs6IQS6hYUQ6LZOCIFuYSEEuq0TQqBbWAiBbuuEEOiF12Xb8q+yd1066fci0P/0s9Jf4X7+73Rn5Qr3wZX5nDlzdAVr1qzRfJ7i+Kqrq2nq1KmkrksvFFRaRb4PJKgr5G+77TYaMWIEvfvuuzRx4sSCxSl9mDVrFm3atElf4644RgmCAIdA2RDoqnHqC5WHH35Yt1MNnK43CtTVC1deeWWv9quvSdS7Ferq9ptvvpnOPfdckXCZICBOSJkIop/N2Pe53jc9qGLSGTdbWlvM76iWUVXtkC6W7P0FmErQ1BqCdBNHNkLc1HADxLWmAmxbklkD4r3uDMSlmd37DVFsD7dp1ZHwQXkBTwrrNdIQl8yYjjBUiQx3FtJWehIQx7UxztTD4cDl5bBRlbbEEXMuf9gXZ/qNcslkUc98JmLGAZbMMOVxjAwRcR9GcJstHN5cG6MpLzRpsyd29O+mgfLzGKiLhgvTqfw5hnXkZON0XHLjOplEfcyuRzl7m3ibEGBeUzFjOcCH66KRwnTVr62CvNlNaBPI7cJxMAnftmrbpY4dbxkf5ndlmPa8uRptx0qMc3tRJ7LJJLZx5nSIa5sWdoSXY8OhdAeHBzknsRGbPtU9gOxsuxnVMxIoq/CiCDTT2NiMTY+hfdLjLYW2J8ekzaXR1rsDOGZy0yZB3Y27M7LGrpAbq7DK4rBl8mdxumXlz41LTxQLdDNj1c2Ml0SYUTxF/jBpXWgKKRliOuiwzznGJriyTF+Yehm3Ia/Kexj7lvFgIzldNuOMjXkPjWh68dK+DLmyTmuOG8u2r202bm6kgogjN09w6Tj5+1pxbk0HsI4s45blXLwhSzP7QJFx2MV0FSqatz4GCasrMC6SwPkklcax5ffyhqI2aL391zM0RbHhLhfqY5zx1b0m9qXCh/NbwMPMeUwdnC+p2hqJoW895QKc/5fcUA/9M5k2VgXR1o8PWVc39gx+A3E0mXWDypNl/EyfG+cOLn8sg4Z5bRTfAw0zfj734WY8jYo7KdTEjrc9QysgPpJFvN9q2Q6xZSaK7Ss2Qbo4M/Fw/veGBM6Dcxdvz7Y7UIE6VenHdVCKWU84NYycbxxkxlatH8eVqiOaRrk6Xetx+PiYtWOKmaS4vFwb21MoZ9XugIl635Zwts7n1kYVXpRLiLEJJrO25fpijTfG12dsCifrfGVunpZrD7eG5sZlvvUyZ1O49qQZuW6I4V6Eh7FHXHlhRgbcvkg+bLh9Aj+jj2MDLQA5ZxsbkhWQri2JOtaSQB+6Pc7rLbe2PnT851BPrYlrgmc37OzILHB7G+15xsZbh13jqExJVD4IyN516WQhBHrpsB7KmtRt0l3vi2/+7ni+dnXxf+pvxfUNJEybNo2WLFmi3zW/8MILHRV1ww030MUXX6xvwP7iiy8c5ZFE2x4CZUWgZ7NZ+stf/qKvUVi/fr2+buHUU0+l008/HSTTdX27+mHhwoX6axYJ5YGAOCHlIYf+tkIIdBs5IdAtLIRAt3VCCHQLCyHQbZ1IC4FecLpxTNQzpQiBboEiBHoP5RACvb/uXVnkEwLdFoMQ6BYWQqDbOiEEuoWFEOi2TgiBbmMhBLqFhRDotk4IgV4Wrt2wboTsXZdOfD2xnnBz6U+gr/ofOYFeCmkfdNBB3QR6f+p7+eWX+5OtO09FRQXF43F68803ae+993ZU1jvvvEOzZ8/WJ+Q7Ojoc5ZFE2x4CZUWgDzf4f/azn+n3FLqCGujKWPQMy5cvpylTpvSpa5MmTSKVbyBBvR+v3pr417/+pctSX/6odhx77LH04x//mOrq+FN4A6mzK684IcVAcejKEALdxl4IdAsLIdBtnRAC3cJCCHRbJ4RALzxfCYFu4SMn0G09kRPoV9sc0wAAIABJREFUFhZyAt3WCTmBbmEhJ9BtnZAT6BYWcgLd1gk5gW5hISfQe/gTcgJdgyEn0G2dkBPohddl8mtvBGTvunQaIQR66bDelmsKh8MUiURo7ty5+mloJ+GNN96g/fbbj0KhELW1tTnJImm2QQSEQO+n0D/66CP60pe+ROm0fU1bsQj0Qw89lJ599tl+toz0Ow/HHHMMrVu3ji1j7Nix9Pjjj+v2D0YQJ2QwUC1dmUKg21gLgW5hIQS6rRNCoFtYCIFu64QQ6IXnJyHQLXyEQLf1RAh0Cwsh0G2dEALdwkIIdFsnhEC3sBAC3dYJIdAtLIRA7+FPCIGuwRAC3dYJIdALr8vk194IyN516TSiF4H+f0NwAv3HcgK9dNIeupp23XVX+uyzz+j//b//R7/61a8cNUQ9GX3FFVfQ9OnTacGCBY7ySKJtDwEh0Pshc3XVvLreQRHVI0eO1O+wq8AR6KlUSl8xv6VwzTXX0P3336+Tqevpv/vd724pC/v7mjVraK+99qINGzaQaZp00UUX0Te+8Q2d9qmnnqLrr79ek/6jRo2iefPm0bhxzEN9/arZziROyAABHOLsQqDbAhAC3cJCCHRbJ4RAt7AQAt3WCSHQC09aQqBb+AiBbuuJEOgWFkKg2zohBLqFhRDotk4IgW5hIQS6rRNCoFtYCIHew58QAl2DIQS6rRNCoBdel8mvvRGQvevSaYQQ6KXDeluu6Sc/+QnddNNNVFlZSa+99hrttttuBeH4+OOP9elzdWr9ggsu0JyZk/Cb3/zGSbIBp7n88ssHXIYUUBwEypJAV0T0XXfdpd8sUG+hx2IxUkqtvgbpCuo6hvnz55O6nuHkk08uDhoOS7nxxhtJDcqddtqJjjvuOFLktwocge6kyEwmQxMnTqS1a9fqQa76rN5e6E847bTT6O9//7vO+uCDD9IJJ5zQqxj1vvy3v/1tHafelr/zzjv7U03BPOKEFB3SkhY4+d5roT5XnsWpJ2DfwNCVqa4yAvlr/VGIa0/5IC6S9ELctJpNEFdpJhxjYrozkNbnxnavjVVDOrcrC3Er22sgriUagDjDjXm5d7rydSSdccNPHhP74jUwLuhJOsInxKSLZ0zI2xrH/qlE3GLdayK2FUw9yYzB4J2DOK6OnENGLkvcY7lEbsJ6avwxR+1pSfgdtdHk5M/EtSdxHDRHePufzWJ/kkmUFzde3W7sc6IN6zZasTx/I9brbeFVzGCGpieGdYcX49tCxpK1UGi6sdGRLpvbTcZxOWs02jIclvnLx2aTvzGF9mQdXvPUtgs+kxLYiODERqIMcjj0HWHQlYjLz5bp4seHk8ocDkGrKIdvVnOkqjvJ6M78BmxiBOeYbEsrpsswCuB2joPLh/JyGWjLqDoMdcenoE60TcI5z0hhn/uENyNA7i15xgyysjKY6cSMIo6cm5Dx8th6mPxce5JhxDaNImDbnTWxbhdOl2xed5oZ/OojCGZsVq5Cm9AxzgNS4PKGVyC43nlLIG+mBQ2u24u6o+flpLP538k4H+o0ySNmQRMio5k5jxGXJ8LYjk+boLyOqejTxWtR0FkPr8sZRh8TWCQlanHM5KrQXyJmILgM7Is3gHqXZfxG1eG6MPrlqSzjYzI+SjSJuuxj/DxuOnEzRqHyiMWO1arxqR3RjjI+TzqNdsLnRWw5H7ouiNhUe+NQbzLL2HkiCpo43kxm7VDrZWTAGOb2FPqYAQNlncjiOOA+dq00sS+qcx6mjZxgPmjCD+0DJraHk/WECrRb04IbGF8bx8abzduzevLJevTrON84GEC5ZJjxkWH86iwzNgwD21jh421tgtHHZArlxX2QGwqgnxj2oQy5NQund5xcuHVVvkHZkkR9HB1oh+SrI1UQF0vhHBVg1oPcWjTI6Jie3xhniNN7DgtuTcil4/YNksza2GugjUnnsRPc2rqNWf9xH0bU+HB9yuHQGKvANY/Djws4XVSF1QTQt+Zk4/Rt+mga55M2Zl3N7aFMqmxm1XRCAOPHe3Guf77B3kcuNAl5mX2jpgTug3BjS5X7/EE3OJ7jJGF5ICB716WTgxDopcO63GpSTwovXbqUmpos+1xbW6ufGHa7B7jxxXR0xYoVmqtLJpP6SvbLLrtMc1/19fW9Ujc0NGg+7Oqrr9bXtvv9fvr88881N+ckqLa7BrCf5qQOlUbxhRLKA4GyItCj0Sideuqp9Oijj2p01CBTQSmlIst7EuhdbxSo35SST506tSSIrlq1Srejo6NDE+b//e9/6de//rWuu78Eurqu/fDDD9dlDITUVqfO1YlyNcAOO+ww+s9//sNioupSdRqGQerEujqNXswgTkgx0Sx9WUKg25gLgW5hIQS6rRNCoFtYCIFu64RPCPTCE5UQ6BofIdBtNREC3cJCCPTCpkMIdAsfIdBtPYkLga7BEALd1gkh0C0shEC3dUII9M65Qwj0bqUQAr30e4rDpUbZuy6dpHpiPf6mn5NZhx9fDVZr0o2ttPqC63TxitMZP378YFUl5fZAQPFOf/rTnzRvpvi+nkEdGv3qV79K559/PqlnjIsZ7rnnHs2tdQXFG06ePFlzX+rf6tDq8uXLNeeo/qi4u+++m0455RTHzegi0Lt4S8cZ+5BQtUsI9D4ANshJy4pAP+qoo+iZZ57RCrz33nvTAQccQH/4wx9YAl3hsvvuu+v3CX7729/SL37xi0GGyipetVFdha6IfjXA1LsKAyXQv/e973Vf364My4EHHtivvtx+++109tln67wPPPAAnXjiiWw56rfvfOc7+rfbbruNzjrrrH7Vly+TOCFFhbPkhQmBbkMuBLqFhRDotk4IgW5hIQS6rRNCoG9hmhICXQMkBLqtJ0KgW1gIgV7YdgiBbuEjBLqtJ0KgW1gIgW7rhBDoFhZCoNs6IQR659whBHq3UgiBXvItxWFToexdl05UQqCXDuuhrkmd/lacmboVWYV8JHPXCW7FXSl+zZvnhrX+9Ofpp5+mc845Rx8a7Qpd9fVsz9ixYzUvduSRR/apmi4CffPDvn0qJE9ixXPOmDFDc6FCoBcD0eKUUTYE+mOPPUbHH3+8VpBbb72VfvCDH+geFlJKRVyrP+q09b///e/iIFKgFDX41cBW102oU+8jRowYMIHe3t5Oo0eP1l/jTJo0iZYtW9bvayC+//3v07333qt7sG7dOl0uF9RvykiooPJ0XfleLADFCSkWkkNTjhDoNu5CoFtYCIFu64QQ6BYWQqDbOiEE+hbmKiHQNUBCoNt6IgS6hYUQ6IVthxDoFj5CoNt6IgS6hYUQ6LZOCIFuYSEEuq0TQqB3zh1CoHcrhRDoQ7OvOBxqlb3r0kkJCPTaEp5Ab5IT6KWTNNG3vvUtUhyfIqpN06Svfe1rtM8++2iOSsWp25Pfeecdev755ymVSmkOTPGBXYR7sdqaTqd1O1544QV9+LbnFfK77rorHXLIIfpZZtXGvobBJNA/+eQT/Xa7EOh9lcrgpi8bAv3YY4+lJ554Ql+Z0JPQLaSU6iT40Ucfrd8oUNcvDGZoaWmhnXfeWV/1oE56dxH8Az2Brt56P+OMM3TTf/WrX9FvfvObfndj1qxZ9N5771FVVRWp9hYKKo1650HlUYarmEGckGKiWfqyhEC3MRcC3cJCCHRbJ4RAt7AQAt3WCSHQtzBPCYGuARIC3dYTIdAtLIRAL2w7hEC38BEC3dYTIdAtLIRAt3VCCHQLCyHQbZ0QAr1z7hACvVsphEAv/Z7icKlR9q5LJykh0EuH9VDWpE5+q5ubFfl70EEH6XfG1WFRLqxcuVLzYS+99JJO/+STT/b5JPhQ9VUI9KFCfujqLRsCXb3drcjpzQdMIaWcN2+eJoADgQBFIpFBRVFdja6I8y9/+cv02muvdZ8SHyiBrt58UNe2q7Bo0SLaYYcd+t0P9TWP+pJnl1120V/XFArqaxv1VYvKo06k9yWoia9QUOWpK/hVkPdF+oJseaTd+bFfQ0MCvhTbuBEVHRDvdWcgznRnIS6bQ1aFS1fnxbEdy3igPJ+RZttYYSQgfn0cv3bk2uNlylzSUg/lxdP4xZqHwcFw5xBbT5Jtd47BJ51zQ9pMFuO4AtMZTJcllAFXXg6brasI+fi2b14/h62bWdRzeHM6kWb6nGGwcRPf8B2qGlBHXai37Wk/pOtI+SCu1oc6msyiTqzpQL1b3xqG8hIx1G+VKJswIK0rhnHuNMrVncA4TztqislMpcEGxNGd4rGtXN77bSNVg7HYvjapq8Z0Y6Mjg+cymP6FQjgGZ0+DuMholEG+vSSuP27OpDDdzmETiVEnR/3ViRjCmVHv/OUx+bMGx2JjEa4s00GXs7z5GsS13YxhPaHlOJ+4I2i/0wuX4DhwM210oc3j9Mnl4b84do1EWx/bAeNyTN1mDO1JohbHdayWGdOMDLg69NhixqFTXXHhtEzMtENcedw4SvuZOZ2Rs7ZlJmOPmLTcuMx6MG8qgHFcu90Z1DuuLRw2qt1ce6qWxtEe1XtxrvZiGzk7YSRRMNGRqKNmnLfBtW+uh7rTS5Y5tz8OUpp1dZAqu9m7dlrOsZiD0vInMUeOYCYpxCJXX402oRXtSWb1WkjndjiftE/g5+V0AJuYDjqLS4UYffQzAzOA9oQY18/wMumIqKICdbTSj7bVb6Kv72f8YL+Jk+OGKM7LnF8eyuPzclrQEKuA6LYY+mWcjzmtfhPkXdmGesL52l6Dx5Fr47jKVoge4UPnKpJmfEdmfcPVwZPlOHe0pxCbjQyGqo5aP47NoIE+/aoOxCyVxbqTaYzboQZ97dnVS6GLFW7UxaY06lM+S3HvYmvPoWfoaEMsPAHU28OmfA55X127HZbXgQM939qIXXowLorpQT3zM+vt2iD61RXMOOLWVbU+zJsPxziztk4yst4+hHJd2DYSim1NogxSGdQTzk74GBuTr90cWc7ZKC4/l9dk1u/RNM7p0TTOCUmmf6pebszk27fYvJ2cPeL2HRojaC+5tX8yiXNoJsUsZIgoUIFj02Oi3qaZfpuMHeX64mXK+86Ed0FclQbOYyrRsgT6CYsiqI/cnkAtY4M5e9ucRGw7UqgTqj1PH/B/+Z0a+aUsERACvXRiEQK9dFgPZU0nnHACPfLII7THHnvQ22+/TR4Pv4bqaqM6ga5Op3/00Uf0zW9+kx566KGhbL7jul955RWdVnFfipMsZlA3VL/7rjUX9veJ52K2R8qyECgbAt3v9+urG95//339tnlXcEKg+3w+ig1wk6aQQijCXL3HbhiGbp+6SqErDIRAV1/bTJ48WV9hoYj5119/fUB6WVFRoa+CV8bnrbfeKliWSqNOnodCIVLXyPcldL0b4SSPEOhOUCqvNEKg2/IQAt3CQgh0WyeEQLewEALd1gkh0AvPYUKgW/gIgW7riRDonYswhqcTAt3WEyHQO7EQAr1bKYRAt6BIM46HEOg9fHUh0DUYQqAX9k+FQLfwEQLd1hMh0MtrX7IUrRECvRQoW3X0xHrcjb8gs8RXuK+58FrdDuEoBlfmEyZMoLVr19I999xD3/ve9xxVdv/999PJJ59M6mCtko8EQaAcESgbAl29J67eI1Cnsffff/9urAoR6Op9hJNOOkm/572lU9H9BT+ZTOovZz777DO65JJL6He/+12vogZCoF999dX0y1/+Upd3yy230A9/+MP+NlPnUwR/NpvV+L366qsFy1IfBMydO1fnUe9C9CUIgd4XtIZfWiHQbZkJgW5hIQS6rRNCoFtYCIFu64QQ6IXnOSHQLXyEQLf1RAh0Cws5gV7YdgiB3omPEOjdiiIEugWFEOi27ZAT6J1+OXM1jBDoW5hjmOtm5AS6jZmcQLewkBPow28/sy8tFgK9L2gNLK0Q6APDb7jk7jocq54XnjlzpqNmq4OqX/rSl2gwDseqA6PLli3TB0czmS3fMqW4MgmCAIdA2RDo6gS2ut5BEdQXX3xxd1sLEegnnniivt7hiCOOIPXOwmCELoJcvbP+6aefkjrl3TMMhEBXb6p//vnn2kio6+urq/GatL70qVQn0Lf0sYJc4d4XqZVfWiHQbZkIgW5hIQS6rRNCoHdu1MkV7t1KIQR64XlMCHQLHyHQbT0RAt3CQgj0wrZDCPROfIRA71YUIdAtKIRAt22HEOidfrkQ6N1KIVe4d9oJ5vk2ucLdth1yhXv57UMORYuEQC8d6r0I9BuG4AT6T+QEeimkXVdXRy0tLfTss8/SIYcc4qjKF154gQ499FCqqamhRodPPW6pYPUE81/+8hf6+OOPt5S0+3d1WLSvB0wdFy4Jhz0CZUOgX3XVVXT55ZfTlClT9Nvc6qsVFfIR6P/5z3/oG9/4hr7+/E9/+hP96Ec/KrowFLmtrpNXp9Aff/xxOvroo6GO/hLo6vp0dY26CuqNCHWafqChVG+gb6md4oRsCaHy/l0IdFs+QqBbWAiBbuuEEOidG3VCoHcrhRDohec0IdAtfIRAt/VECHQLCyHQC9sOIdA78RECvVtRhEC3oBAC3bYdQqB3+uVCoHcrhRDonXZCCPRunZA30Mt7/3EoWyd716VDXwj00mE9lDV1HY4944wzSJHYTsIPfvADuvPOO2n27Nn0xhtvOMmSN406ZX788cfTk08+qdMoztBpUAS6k1PqTsuTdFsXAmVDoKsvVLbbbjtqbW2lww47jO69915SX65sTqDH43H685//TL/61a9I/XvMmDG0ZMmSbsK9mOJRV6rfdtttul2//e1v2aIffvhheuSRR/Rvqk3Tp0/X/z7qqKPgtHrPAs4//3zdDxXUwFYfAww0qCsv5s2bR1VVVfqLn0JBpWlra6NZs2bpt9CLGcQJKSaapS9rvxd+BpVWehNsQ0JmEuI70l6IC3swfzTtcdS5sDcO6aJMHXW+CFueyexQr4jUQlpuYTUu2ArplrTXQVwqa0CcwVwLxzXQzWx4qHTZnAuxTfgcYZZhGCuuPM6XyDH1mkaWrddn4vMPmawbsXBjfo+B1+dwMuAqTjP9q/CgLk6r3MS2u87bAfHNqSDErYyinrQlUQZBMwV5/QZis6KtBtI1toQgLt3Bjw2zldGzGOqJm7mZyI1NJE87wlP7GeLoff0TTLjTFBbb3PxFjnQ0l2Ya5ELdyR6wB5RntqM9SdYFcFxWMHjlIf5jtZiWw9GVdeaAV32KtiNVbX0Y2DNExzJjmqmCI6FVOayZQZWgrIGRGTTVZMaxcq6OHFNecAPqjmqj79M10O9sYxPGJfn8jhSK0R0j1PvGII1XuBLrHY3jXCVq3oVJa2JrWHwYGeTcTCTTOU7W7gyvd27mBR4uP2PWiZw1xxH8KhHXP7ZeLQhnOHLjLefiMjtrJosNDn3KN964/hiM2sZGYnsSNYwM0eRR1UJngvFEeZ3wN+EE4Huq/36+y0CAEofvBR0MLsYxnV642JlgBiGVOXE8jvX1Gx3ZneTX94Z0bROZwU9ESZzCKc3EZZnsWS8jQ9Z2IEBZH+OX+XlfzRNCJQ2HYlBobSAKcSMD6C+lGZ+3I4UTCuffJpm8rXGcv1VDIgksk/Nlayqw3VXM2iHCtJHz3+NpFJaRx1efEMb1dprxg72MQ1HnQ2wjafQJsozBjGfQT+R8aM5fVtiGTPSj6h22pzWF8toYw/mWk/9p43FTNJHDvmxK4/yr2p1iBtLrjduB3iYzaLemhhsgXdiDa0xujfjR2rGQ1+3mbbDPi/5tPIl9zDLkZsCPY3VUJTrr3DgIM2t1bm2cyTMxN8TRcHEyDLFrehyrnM5zepLM4Hjj+qcEwK0duemDGwvcmpVbv8WZ9sRSKD8XYxO8zNpWjzdmjcqtJ1OM3nL1tCVwPdHYwIyZGLO2iWJcvi2LDDOn5Jh5i83vxfmoblQbiGt8Ja6XLhr/HKT7PDGG9RSea9wF4r2Mc1zJ2LxRPmxPWxqxXR+vgjry2dZHvvyXQfBopMjBRED2rgcT3d5l9ybQLy39G+g/uUY3SN5AH1yZX3vttfS///u/msv729/+RqeddlrBCu+++24688wzdZprrrmGfvYz5CP60mLFs/3P//yPzjJq1Cg6/fTTaa+99qLa2lrdpi2FAw88cEtJCv6unqZW9fTlhuloNErqynsV5Ar5AcE/qJnLhkBXvXzmmWfomGOO0e94qxPoSnHVSXP1Fci3v/1tTQq//vrrFIlE9FckHo9HXwtx0EEHDQpIaqD//e9/71fZ6o2FyZMns3lTqZR+t72hoYFGjhxJa9asIdPkN2b6Uvn3v/99/eGBCuoadXUinQvqN1W/CipPf/uYr23ihPRFauWXVgh0WyZCoFtYCIFu64QQ6J1YCIFe0HgLgW7DIwS6hYUQ6D2GjBDoFhhCoA+aEywEug2tEOgWFkKg2zohBLqFhRDotk4IgW5hIQS6rRNCoFtYCIE+aK5aWRQse9elE4MQ6KXDeihrUnzdtGnT9DPFKhx++OGkTqOrG5gVoa3Chg0b9BPOd9xxh+b0FL83btw4WrhwIQWDeLCpL/1R9bz77rv6cOvcuXP1tfCDHdauXUtXXHEFPfroo92HWRXXp3jMSy+9NC8319UudQv3brvtpol3uUJ+sKXV//LLikBX3Xj++efplFNOoY0brVMCijzvGbquX6ivr6d//vOfdPDBB/e/91vIOVgE+r/+9S867rjjdO0XXngh3XDDDUXpgzotr07Nq/DAAw+QeiOeC+q373znO/qnW2+9lc4+++yi1N9ViDghRYWz5IUJgW5DLgS6hYUQ6LZOCIHeiYUQ6AVtsxDoNjxCoFtYCIHeY8gIgW6BIQT6oPm4QqDb0AqBbmEhBLqtE0KgW1gIgW7rhBDoFhZCoNs6IQS6hYUQ6IPmqpVFwbJ3XToxCIFeOqyHuqYPPvhAv3/e3NwMnN7mbVMcnyK5X3rpJf2E8kBDOBzWh27vv//+vJzYQOvomX/+/Pn0ta99jTZt2gTXxSs+MxQK6WenFc+ZL3QR6HKFfDElU/yyyo5AV11U1xfcdddd+t1xdY1B13Xk6kuUmTNn6rfIzznnHKqs5K/3Kj5M+Uvszxvo3/zmN+mxxx7ThSrDssceeEVtf/qgvvBRX+2oE/zqGnx1ep8L6gsg9ZWP+rpFnX7Pd1K9P21QecQJ6S9y5ZFPCHRbDkKgW1gIgW7rhBDonVgIgV7QYAuBbsMjBLqFhRDoPYaMEOgWGEKgD5rjKwS6Da0Q6BYWQqDbOiEEuoWFEOi2TgiBbmEhBLqtE0KgW1gIgT5orlpZFCx716UTQy8C/fohuML9IrnCvXTSJlKnsi+44AJSB0jzvStuGIY+XKoOlSouqxihi0BXzxsXi2vL1y71rLQi/Rctsp6xVE9Mf+UrX6FEIkFvvvmmvnVaBUWMKw6z6xnnzcsTAr0Ykh/8MsqSQN+82+oKAzXgfD5n7/8OPmx2DX0l0NV7CGpQJZNJfUXDxx9/7Li56qr6V155RafPd0V8z2vcH3roIfrWt77Vq3wVp66RUOHUU08l9d5EsYM4IcVGtLTlCYFu4y0EuoWFEOi2TgiB3omFEOgFDbMQ6DY8QqBbWAiB3mPICIFugSEE+qA5uEKg29AKgW5hIQS6rRNCoFtYCIFu64QQ6BYWQqDbOiEEuoWFEOiD5qqVRcGyd106MQiBXjqsy6kmddDz5ZdfpgULFpDiw1RQ75Hvuuuu+jlmxY8VM6j3zj/88EN9u/WcOXOKWTSUpW6BVsS4Ish/8pOf6Dfc1VPTKigeU934fNlll1Fra2v309T/+Mc/SH040DMIgT6oYipa4cOCQC9abwehoL4S6H/5y1/ovPPO0y35wx/+QBdffLHjVjkh0FetWkXKYKjrI9S76qr8b3zjG7qOp556iv74xz/qgTxixAh6//33afz48Y7rd5pQnBCnSJVnuuNet/SzZ8jmmN1uRay6s5A2mrYmjC2FeNqEJDmmHo+RgXQdSfyYptofY6v0G2mIT2dx1zqdwzguL7ew9rqxjVxjNkZD2JYMs4NORNUB7E9rPLAlWPXvXhP7zGWMpVBWbspBUsONcSpRPr3YvACD0RMujmujh8HWy+hEvT8C2ScEmlm8DEK9XdA2FvUs5XWEd9BMQbrmBMqqoQ3lH9+Eb/yYrb0dqq7CTUbF3Vg1uZg4M45dGXPvpxCZbW+HOHcA++IaNYLFJrtuA8S7Op3IXj9kUQa5aZOwPV7EwlzXgnV70J5QSyuOtx34L1tdGWyP0dgB+eNT6iDO8/IHaMsyzmyCORJxbDp0BygvsJERKhEZSWx3xzjmY0PGhNfOXY3tbsc+u0wG25oqyJtZsoLViVyab7ujwTWARGYdyir2pe2gxFSIH2+JKgSNI8FdWbSPLFnOmVFuauXNLYuEO83V7RA0pu7cZs8mqZJcOaZBTFTWw/sJDltDzNTDZnWhyhMzfVOOUVvOleHSZZm8qjFZxr1JM9Nyoo5ppImgcbY+YL1g1St4cHojM8YrSs3DH6EdjUYhzmBu8YodsDPavGocHzVPMXPHjhMhb7IabVHgo5W8nUihncjFcOLKxnAiTB4+C8qMjkYhVv/9baw7h7JybbapoTJt+NE+bLuTaAopWc2MS06nOBFycQZGZr1MHV5G75SvHkSfsCqMOlEXREUbGcA5wemYbmH8II7EjubxtZIZ1D3O/xtXiXO9U/80aCahO00J9MvaEn6229waZUQAcRzhY3wrF8qwPYX1VHtQ503GN05nEa+WFL9uGBdAP8rPOJTrE2Ho96oIviXZFEfMwj4cv98cjf7SygTO1akcPy8HDZTXZ+248bpXFfojXJnLYvXQv+Yk9mVqCA1zOk8bV0URnwUbR0M9JrOWYdfBJvqTFV7EocqLeFd7+bUxp8wdabTXJjPhcmPGzaTrYHSZq7cliTofy7OX4GbGTIBZg3H1cHm5/QAub8iDeHPYeJk9B1VeRwqxbWQXyOImAAAgAElEQVTGTEcC07V3ID6ZRkZW7ThmuDUiMa6aG7unYXAz2wlp5mnaVBjnnvAUtDHp12oB3mlHLYY4brxVcYtgIvqwdQLkr2L0vsJIQLo6xrnalMQbTtfH0Q4mGXurKnh8vz85nSIlXZkgIHvXpRNELwL9j0NwAv1iOYFeOmkPXU2///3v6ec//7l+Lvn6668f1IYcccQR+nZndQP0v//9b7aupUuXkrqFWh2eVUT7kUceSQ8//HCvA8JCoA+qmIpWuBDoA4SyrwT67Nmz6e2339ZfnKgJpC/Xpzsh0FV3VPnHHnssqS99uKDqVNdo7LMPvxk0QEjkCveBAjjE+YVAtwUgBLqFhRDohQelEOg2PkKgW1jkhEDvVgoh0DuhEAK9sCF1+OGAEOgWjEKg2+okBHrnvCMEerdSCIFuQSEEum0nhEAvPAULgZ4fHyHQbWyEQLewEAJ9iDcsi1i9EOhFBHMLRQmBXjqst+Wa1PXpiutauHAhPffcc7T//vsPGhzq9PzGjRtJ3fSsSPJ8IRaL6duhFcmuSPQDDzyQnnzySaqoqNBZhEAfNBEVteCyJNAXL15M99xzj34zQJHAStnUe9477GCfylLXP6xcuVIrnFK+oQp9IdDVuwjTpk3TTVXvkOf7QiVfX5wS6Cq/emvhpptu0kT58uXLdZFTpkyhY445Rn+JU8eczCoWhuKEFAvJoSlHCHQbdyHQLSyEQC88FoVAt/ERAt3CQgh0WyeEQO/EQgj0woZUCHSNj5xA72E75AR6pxMmJ9C7tEJOoFtIyAl0207ICXQLCzmBXtjFkBPonfjICfRuRZET6EOz11hutcredekkIgR66bAuZU0tLS306quv6ionTJhAM2fOdFy9uhVZ6YUKX/3qV6mSuSHNcWE9EipSWxHa7733Hv34xz+m7373u7TTTjuR38/fKNWfOlQe9cy0uuFZ9UO9hV4oqGep1TPK999/vybR9957b80JVldXC4HeXwGUOF9ZEejZbFZftXDjjTeS+neu89pIpVzz58+n6dOnd8OjFO3rX/+6vqZcvQc+bhx/LWuJ8ZTqiOQE+jDXAiHQbQEKgW5hIQR64UEtBLqNjxDoFhZCoNs6IQR6JxZCoBc2pEKga3yEQO9hO4RA73TChEDv0goh0C0khEC37YQQ6BYWQqAXdjGEQO/ERwj0bkURAn2Yb1oWqflCoBcJSAfF9CLQ/6CucK92kKs4SdJNLbTmp3KFe3HQ7F3Kueeeq9/6Vodb1W3IO++MT4Llq/fTTz8ldUtzJBKhCy64oE9Xrm/+jjhXh+IUFZ/oNKi0ihB3GsLhsG77K6+8Qvvtt5+jbAqvW265RbdrxowZ+q32DRs20G677abjFNEuoTwRKCsC/ayzzqI777xTE+eKEN9333312wAcga7gVCfSFXmu3jVQg01CeSAgTkh5yKG/rRAC3UZOCHQLCyHQC48mIdBtfIRAt7AQAt3WCSHQO7EQAr2wIRUCXeMjBHoP2yEEeqcTJgR6l1YIgW4hIQS6bSeEQLewEAK9sIshBHonPkKgdyuKEOj93S3cuvLJ3nXp5CkEeumwLlVNivhVp84V6XvDDTfo0959DTfffLPm87xerz6MWV9f76gIt9vtKF1fEvWVwFakt/oIQBHiis90GtTBYfVWu6pvxx131IeI1S3Vfa3faX2SrjgIlA2B/t///pfmzJmjFebSSy+lX//61/qdcDUo8hHoKt11111HRx99tL6qXEJ5ICBOSHnIob+tmHTH7yCr289/BTV6RCukTWYMiIvEfJgubkJcLoerumAoAenSGZwsc1n+y7KAPwn5K/1YJodXJov1hH1xSBr2MG3MYd6N0RDkDXqwfSqR142YN8WDKBsXbqyGvNieSMrL4Iiy6ovecG9Mdl4c0qsY7qM/w511hAVHTnObIOOCLY6bvqyjDtJ+sW4kxGWiHizTwHYTo7cuJl2O0SeKoQyMdt4Z9ERQx90pbKIZwbixLzRg/z75whFm5gjGia2u4vNmGXwSqOOpKYi30YZ661qxFutx+FVmNhpFGzNrV77db33kCItiJ3IZKH93CO0E5ftylsNiMt7Ik6lAG+x6dwHi4xBbtw+vv8pHlDv9mGBA2LpwzBhVYSgyNnsqzk9jcS5SiQzGNKf9OAZdWbTBObezL51zjAl29eWjY4Z05sp0px22cQAkP1cvOYPBkglXt0NSPceIMMtgy6XL4NRIaes5MgipSmxQzY6NkM5v4pfr65tQH2l1APKGViBoBuOyjHy7mW1jZv5CjM+hXTZ32A7SbTxwNMQZKexz3UsrIV3TQRMRryD2hcNbZWRcHuJkmGVk7WHmPBczFdXe8YYjM2NU4fy25vRd2LzJGoxOVmPlOZMZgx5GwRmfjvMxjCBO/i6DHzA+H6YNMHH1QQSS88E434/zyzoYv7MlhjrPrRsUqj4TjWEF499y463aGwPBcH61h1G85iT62ptivFEImIgthxlXd9DEgW0w8g8wjl6KWWNkmTg3NxAUtm60UbF8g3MzJDfEKwHbtiT6GGFGVvEMDuAOJu+c0bx/6mewWJPAE2yjvW3QxiwzIX3SNhbSRdPo+8+qXYG22sD1oEr0SQeW+caqKWhbmXUQ5+r5vahjtQH0b+v9OH4rTMb/5gxrnjed/QbWnWSMcAXjMEUYfTIZfUwzers2wsyXRMSNdW68pbn1FmPBQ8z6vSOFuszZE67dXP9UtSs7UEebY2hnWlswzrUR22PEmfWgwwNzzJKVuGknn1+WZZbGyVGoJ6E61NFwAMdMIo02Yee6DSCtdB695XQ0bGI9PgMBCrhxfMSy6BSui6M+cvOgavQ/Z9/myM+QROWDgOxdl04WPbEe+/vSn0Bfe4mcQC+2tBVpfvHFF9P48eNp6dKl+obovgZ14lsdjl21alWfSHjFGQ5GuOKKKxwXq65kv/fee/X75g8++KDjfCrhVVddRZdffrnmO9VJ9tbWViHQ+4Rg6ROXDYF+0kknaYVT17I/+eST3UgUItAfe+wxOv7442n77bcn9b64hPJAQJyQ8pBDf1shBLqNnBDohbVICPROfIRAtxVFCPQ+mV4h0PsEV/7EQqB3YyMEugWFEOg9hosQ6BoMIdBtnRAC3cJCCHRbJ4RAt7AQAt3WCSHQLSyEQO+xzBMC3fIxuS8RhEAv0qKutMXI3nXp8BYCvXRYl6omdZj16aef1ifPFZne36BIeJV/uB2Ovfvuu+mMM87Qb6Er/a6rw4NahTC56aab6KKLLtJJuq6blyvc+6tFg5+vbAj0SZMmaYV75JFH6Nhjj+3ueSEC/d1336V99tlHv7XQ3t4++GhJDY4QECfEEUxlm0gIdFs0QqAXVlMh0DvxEQK9x86KnEDvi3EXAr0vaBVIKwR6NzhCoFtQCIHeY7wIga7BEALd1gkh0C0shEC3dUIIdAsLIdBtnRAC3cJCCPQeyzwh0C0fUwj0Ii3ghr4Y2bsunQx6Eei/G4IT6D+TE+jFlvbkyZP1yfFHH32UjjnmmH4X//jjj9Nxxx1HihdUzzQPl9DQ0EBjxoyhbDZL6lr2q6++us9Nv+uuu+jss8/W1+DLFe59hq+kGcqGQA8EApRMJun999+n3XffvRuEQgT6Bx98QHvttZd+KyEe56/RKimaUplGQJyQ4a0IQqDb8hMCvbAuC4HeiY8Q6D12VoRA78sMIAR6X9AqkFYI9G5whEC3oBACvcd4EQJdgyEEuq0TQqBbWAiBbuuEEOgWFkKg2zohBLqFhRDoPZZ5QqBbPqYQ6EVawA19MbJ3XToZCIFeOqxLVVNlZSVFo1F66623aNasWf2u9p133qHZs2cPy8Oxf/vb30i9Ba8O9l544YX9wkB9QND1LLUi1CWUJwJlQ6DX1tbqO/9fe+012nfffbvRKkSgd32lMmrUKFq3bl15IrwNtkqckOEtdCHQbfkJgV5Yl4VA78RHCPQeOytCoPdlBhACvS9oFUgrBHo3OEKgW1AIgd5jvAiBrsEQAt3WCSHQLSyEQLd1Qgh0Cwsh0G2dEALdwkII9B7LPCHQLR9TCPQiLeCGvhjZuy6dDIRALx3WpaopGAxSIpGgN998k/bee+9+V9t1u7Tf79eEvARBoBwRKBsCXZ0k//DDD+nmm2+mc889txurQgT6WWedRXfccQd99atfpRdffLEc8d0m2yROyPAW+86/wrdLMj6+T8lxKfwh5sY4F5Ofi+OShbAOXxDjXK4c20gu3uvJQFq/mWbisJ6AB+O4hXU8gyvMloQf6nDnaTcXH015HSkXtyGYYtiEfIu/zSvhPiRQaTLM4tFg+mO4kVStD0SgL/X+DojzuDBvczII6Va1V0NcNMms8omobX0lpPVuNFE2SYTbzah8GptDGT/qY6YOdYzhNciIGKyczTYcWx6EkTzMiyaj3mrFMhcsYsYqM36ZRrq2n8zr4mr8mC0bwxtiUl+1b5rpKsi3HuVPq9ZDPa4AjiPK4JhOb9yEefeZwbY79/bHjsbWQBKZzJtIOabdmZYWbLfJ6zLXHpcHddllYlymg1EeTiGZSoxQCNvo4yeKbCwGabMOF0Yupt9uf54JabNacikcb5lZO0FbWqYFWLF6IjiGE1U4PtxpTJdz4QTnymG6rMGkY75B4Uhx3WhuHmWmQiOBkYEmHDPxarQ9WUb1sh6mYqbeHGNOVLO5/mRRRcmFTaQck44jy1No5tm8yXrUE8qzMRoYiWNmfA2OV26uXrNoBOhZcDXi7W9Cdaybj/UaC5ayeptx+KRV6yn2x8pdBaUqUK5uBp7gRoxs2gkFw8kqychFqzKjP8z0TwZz4ZiHmTq8bVhg3X0foC1KMhM9YwfXX/RlFu/oWGaur2V8VA8ObIPxRd1uLM/FxFX4sd1egxkweSatWArlVRVAcH0GowBMmR1JtMucD5bNolHwM361qsI0ELNaP26q1fowLmCgDNyMQrWm0P53pLAvi5/fjkWy7gD0eUymniofYrtj5QYoc00cfVmuPUET5c+tGxb/eWe23fU/WA7x7Uy/3YT6uKmDmf9fq4Ly6g9fA3HNMcR7fBj906+Pms+2uzldAfENKWxPlYl+x5II2uCNccwbS+Okt1PVRqh3vL+ZbeO/VqKfGfIlIG0kiWu6HDP3ZLJol7mxPrICDWG1D3FIZphJVBGCjEMRNFDPTDfaGW6tFmPWwZw9aU2iTnBtUQBy+phkHABufFSaKAOujdw4qvXiHBxJo53YEOcnuOYE9rE5govHtgbUbzezJnQnuLnamT/J+lX5fDVuS8ehr8f5Vi4vs/8SQh2rCaFN95vMApyI6pk5YYQfF8I1JpaZYpxRTudXxGrzzKQYfdcsOTnoGKwySSh716UTRC8C/br/JbMWfZ7Bak26qYXW/ty6XltdOT5+/PjBqmqbKrfrKeaBXuH+xBNP6KeclVxWrlzpCMPf//73dN5555Ei8QcjqFPx6or2I488cjCKlzKHIQJlQ6BfeumldN1119GMGTP0Ne6KONeOstut3wGYP38+TZ8+vRviefPm0Ve+8hVKpVJ07bXX0iWXXDIM4d86myxOyPCWqxDotvy4xZoQ6DY+QqBbWAiB3sPmCYGedwIQAt2GRgh0Cwsh0HvohBDoGgwh0G2dEALdwkIIdFsnhEC3sBAC3dYJIdAtLIRAt3VCCPTOuYP5IFMIdFtPhEAf3nuWxWq97F0XC8ktlyME+pYxGm4pDjroIJo7dy5dcMEFdP311/e7+RdffDHdcMMNtP/++9Mrr7ziqBzFFY4YMYJ++tOf0o9+9CMKMQc8HBW0WaI33niDrrzySnruuefoiiuuoMsvv7w/xUierRCBsiHQ16xZQ9OmTdNvmZ922ml0yy23kMfjYQn0Rx55hM455xxqbGykqqoqWr58uf5bQnkgIE5Iecihv60QAt1GTgh0Cws5gW7rhJxA79yUkRPofTaxQqDbkAmBbmEhBHoPnRACXYMhBLqtE0Kgd863cgK9WymEQLegEALdthNCoFtYCIFu64QQ6J1zhxDo3UohJ9D7vGzdZjLI3nXpRN0T63HqBHpNCU+gN7fQGjmBXnRhK6JZkcwjR46kJUuW6HfA+xoikQhtv/32tGnTpj4R1nPmzKH//ve/+sBtIBCgo48+mr73ve/R4YcfTobB3+iZr21Lly6l+++/n+677z764osvKJfLUTgc1nHFOoH+ySef0G677aY5znTa2Q1ffcVS0g8uAmVDoKtuquvY1bXsagCMHTuWjjrqKE2kq/9feOGF+i2EF154gZRyK4VW8Q888ACdcMIJg4uSlN4nBMQJ6RNcZZdYCHRbJEKgW1gIgW7rhBDonZsyQqD32XYLgW5DJgS6hYUQ6D10Qgh0DYYQ6LZOCIHeOd8Kgd6tFEKgW1AIgW7bCSHQLSyEQLd1Qgj0zrlDCPRupRACvc/L1m0mg+xdl07UQqCXDutS1bRw4ULaddddKZvN0hlnnEG33357n6s+++yz6W9/+5smvRcsWEA77rij4zLU1fGXXXYZff7555ofVEGR+HvuuSfNmjWLZs6cqcn9mpoa/ScWi1FTUxM1Nzdroly9va6uau+6Nl7xjF6vl84888zuDwMcN2YLCbsIdNXODPOMY7HqkXIGD4GyItBVN++880768Y9/rMnyrgHQs/tKoVXw+XyaXD/11FMHDx0puV8IiBPSL9jKJpMQ6LYohEC3sBAC3dYJIdA7N2WEQO+zzRYC3YZMCHQLCyHQe+iEEOgaDCHQbZ0QAr1zvhUCvVsphEC3oBAC3bYTQqBbWAiBbuuEEOidc4cQ6N1KIQR6n5et20wG2bsunah7EejXDsEJ9F/IG+iDIe3TTz+d/v73v2v+Tv37pptucnQSXZHZ6qCsIt1V3lNOOYXuvvvuPjdRcYQPP/ww3XjjjfTmm2925+f4RK7wLo6xurpafwSgrqOfMGFCn9uxpQxCoG8JofL/vewIdAWZMqxK+Z944glavHhxLxTHjRunr2ZQb55Pnjy5/BHeBlsoTsjwFvqul9wAHQg0Wh+ubB64zf9UJaZL+zEuWYNlZgIYl/NgXGBkBArM5awvzjYPbjeuHgO+FKSrD2KZ1d44lsfs6G6MhSBdKovXxnBEtMvFY8tP7tjHbJ5+91cL8+HIyp+p2830p9KHOE4Nb4IiGxOIY1vKh+mieDVQYyvGZVq9vE5EUDaeDsTWSDD6lMS4DDaR0sztRZmJMRxDTBt9DfyVQ2YH1m0ybeTaXbUEG+5ftAHbs6kRdb4iiBX7mE6r9+BXr4G05sgRENdw5A4QV/0F4uP+YCEDeAbbOH4sxCWm1EFcspJh6YjI04Flel/9GOsZUY/t8SMWmRWrIZ1RFYa4XA7tU7a1DetwuVlddnk9EO/yot67AmiEc1HEm6vEFWKUOcvsyrn5NpKB8bnWdsQiiTrqHol4Z2txknGvQXvC9S/+5Z2g3o7xiKFKxJF3GR8zz3AmnIlzaurNOGZOhPn5jSvTE8H83jaUl68J8Y6NQl1OhFF+Wc609qHPKc4+MiYlx5hCLi5VwfgTYRzT/nrU+bpKnPvzzaujK1BvV7fhE1LN89HmBdYzZrQN2z3iRbQd3HjJN8dnWlrQBo9D+7jmBGYNxcjQg/CQO4UJ2yehjsZHowwCo5gC1Yd6GcZOMD5GqgltmdmGeUMrsD1VK/C6vOA7S3EebMPJtumkmSzkrdtjPekwY9dr0O8MVqJvFA7gpF7hxTivgdjG0/z8lskhPpw/GmLqiaRwsLfHcbAaDMnPtTGWwjZ2HhgBfEdUoBxSGTQKYyqYOZORVksyALHNMfRvqi5DHau9GX0bVVg8g/MHR96lmTUBZ2eyhPrUlkS8TWZtU+/DsZVmZK/ancyiHNZ2oI/S0Ip+eZYZq6PrWtHnYdrY2IHGf2JNM+Tdr24JO97aMyibhiS2sTmJct0Uw7orPIxTz9RsMg7BuCDaWpV1YetIKCFo4vjnZB1LoT55mLHeEkNd9ppoEwxGBvnmtzp/FNrtN9BmOl13+g3scwWzaMkyOprKo7fRNI4Frh5OecIm2ttYFvF2E85v1R7Ehns/e2kHs0YgohWtNdCklkbUW1crYx+Zednp0t+dRHviymBcjrHfqsE5bkoZxeyNrMZx6U5hPSlmbnTX4/xWXYW2jPtARLVxpB/niSRjb3cM4ZrXwzwI35rGsbUmjtdMe9389bt3zborn3sm8WWKgOxdl04wQqCXDutS1tTa2kqzZ88mdRpdkdajR4/WN0t//etfpz322EM/zdwVUqkUffjhh/T000/rU+fr1q3Tt0urU+eK/FYk9kCCasODDz5IL7/8Mr399tv6xHmhsN122+l311Vb1Q3Y6qDuYAUh0AcL2dKVW5YEes/ut7W10caNG/UVB3V1dVRfzzumpYNMatoSAuKEbAmh8v5dCHRbPkKgF9ZVbhNFCHQLMyHQbd0RAt3CQgh0WyeEQM9vW4VA76EnQqBrMIRAt3VCCHQLCyHQbZ0QAt3CQgh0WyeEQO/0O4VA71YKIdAtKIRAt+2EEOjlvSdZqtbJ3nWpkLYOSnad7B0nJ9BLB3wJalq+fLkmoBVJ3PPkt3rvu6qqSp9IV2+dK7JdXfeu17edt0tPnz6dnnzySZoyZUpRW6reGf/ggw+03qn31dXV7X6/n0aMGKH/qPfIx4wZU9Q6CxUmBHrJoB60isqGQO96cyAUClFtbe2gdVgKHnwExAkZfIwHswYh0G10hUAvrGlCoFv4yAl0W0/kBHqnTsgJdFsp5AS6tWnp8LIRIdBt1ZET6BYWQqDbOiEEuoWFEOi2TgiBbmEhBLqtE0KgW1jICXRbJ4RAt7AQAt3WCSHQB3NHcfiULXvXpZNVLwL9ml+SWTOw08Z9aXm6uYXWXPpbnWXVqlU0fvz4vmSXtA4QiMfjdOmll+or2dWTzD2DItW7CPOu+EAgoE+qX3PNNaT+vbUHIdCHv4TLhkBXX6aoQXXzzTfTueeeO/yR3YZ7IE7I8Ba+EOi2/IRAL6zLQqBb+AiBbuuJEOidOiEEuq0UQqBbm5ZCoHfrhFzhbkHhkyvcu3VCrnC3oJAr3O2pQ65wt7CQK9xtnZAr3C0s5Ap3WyfkCvf8a3W5wt3GRq5wH977k4PZetm7Hkx0e5ctBHrpsB7KmhobG+mBBx6gV155hT766CNqaGig9vZ2qqys1DdK77777nTggQfSSSedpG+Z3laCEOjDX9JlQ6CrKx3UFytvvfUWzZo1a/gjuw33QJyQ4S18IdBt+QmBXliXhUC38BEC3dYTIdA7dUIIdFsphEDXWAiBbquEEOgWFkKg2zohBLqFhRDotk4IgW5hIQS6rRNCoFtYCIFu64QQ6PnX6kKg29gIgT689ycHs/Wydz2Y6PYuuxeBfvUQnED/XzmBXjppS02bI6BO5b/77rs6Wn1AIGH4IVA2BPq0adNoyZIl9Prrr9Ps2bOHH5LS4m4ExAkZ3sogBLotPyHQC+uyEOgWPkKg23oiBHqnTgiBbiuFEOgaCyHQbZUQAt3CQgh0WyeEQLewEALd1gkh0C0shEC3dUIIdAsLIdBtnRACPf9aXQh0Gxsh0If3/uRgtl72rgcT3d5lC4FeOqylJkFAECg+AmVDoJ9//vn017/+la677jr66U9/WvyeSoklQ0CckJJBPSgVffnbf4Ryw1+0snVl/SbEx0fh+yWpCjeki9VhXHQ0VpOszkKkqzoJcR5/mm2jm2EtRle1QdpRwQ6IM90ZRxgvaamHdBy5zL1Fx7UvX6Vcmbmcy1EbXQ7ZG4/hrM+qUjfhncRc/np/BNpY4+39Lo5KsKB5DOpJ0gNxmRzqTnNzBerJJh+LjdmBmJkxTOpiVMrNxKXCjN5WITa5EQlI6FvshzgDodFpTMxOXBsNHB5U92E74jN/EeptIu5MnwyDTWdU41tW6an4xlRkPNoJf3MKsXhxHo7Lsagnkb0mQDrO7jAqq/NlvKgT3JCpmdcI9eSWLGeUB3WU3MxYzTL3ejPpXCbaWlWpK8i8FxWuxPYwZeY8KMNUPY6jnIHt9q1oxjraUMd0ogDqOLkYfLJoe9r3HAf1JKoxb/XnOGjMRauxjaEgxEVmoD6pRB1jeMxxIGE1/iact3zNaDyyHsS2ZQe0eW4cGrrSyjVYphlFHHMurCcyButJVGE6bhrkPhrixlaGEb1qdxrFQOmAszvuc4xYsn7GTwghaJVVaOjHhNEfaEvwDefm8FUrcP4PLUZsPczwGPPsOlCe9JJlqFD77g5x8RH8/BZcg2Nhw2ycpDh/y2DMv8HMO/ERKKuMH+PM0Yj3yGreTnD+TUsE7Vs86kUb3Ip4B9ahffOgK0IedP2oYgOOK3Y+IaLWKWiPklUowvQI1EdPCCdrvw/TeT3YnoCHKS+Pz2q6cXx4mbTtKdSpZBoHXIUXlYLzZWNplEtHAuuoCfBOT70f45NZlCvXvxZmDEdTqDtcu3eu2YB+h4v3jbOMP5rIImYdaez3hmgI6slkmfVSCnGMRLG86hDiVeFlHEIiao7h2Gpvx7hchvGXfYhFZQUaj2gc8U6nsX97TcC5epfKtayPmcqh/N9vRv8vnkEZVPuwjRz5mmZ0zO3CMZRv/RZNO9Mzbg2VJcQ7mcE+c/1LMH3m9Cmfkx/0MPbIQNvjdbhO5PrH1R3yoFy4caXdSWaB05xEv7XGi8a+2oPzUUMSx6CXWehx81Oa0cUVHTUsvKubcW0Ubcbx5o6irNllvsGtHTDOlWR8baaFOU8e/4sZ624vjn/3auwL5/NwPmGyDsvzj0RbFvTztoz70Iqbe7YPN0DPOZ3gxn+GGZdGngXlzXvel2+ISXyZIiB716UTjBDopcNaahIEBIHiI1A2BPqiRYto5syZFAqFaN68eTRuHG6aFr/7UuJgICBOyGCgWroyhUC3sRYCvbDeCYFu4SMEuq0nQqB3YhL4oVwAACAASURBVMERxEKg24oiBLrGQgh0WyWEQLewEALd1gkh0C0shEC3dUIIdAsLIdBtnRAC3cJCCHRbJ4RAt7AQAt3WCSHQS7eXONxqkr3r0kmsF4H+2yG4wv2XcoV76aQtNQkCWx8CZUOgK2ifeOIJOvnkk6mqqkqfRP/Wt75FXi9+xbv1iWHr6pE4IcNbnkKg2/ITAr2wLguBbuEjBLqtJ0Kgd2IhBLqtFHICXWMhJ9BtlZAT6BYWcgLd1gk5gW5hISfQbZ2QE+gWFjE5gd6tFHIC3YJCTqDbdkJOoHdi4ZYT6F1aISfQh/deZKlbL3vXpUNcCPTSYS01DT0Cn332Gd122200d+5cWrp0KbW3t1M2izca9Wypy+WidJq/WXfoeyQtKBsCfc6cOVoaK1asoGXLlpFSHEWeT506lWpqasjIc12syqPSvvjiiyLNMkFAnJAyEUQ/myEEug2cEOiFlUgIdAsfIdBtPRECvRMLIdBtpRACXWMhBLqtEkKgW1gIgW7rhBDoFhZCoNs6IQS6hYUQ6LZOCIFuYSEEuq0TQqB3YiEEerdSCIHez03AbTSb7F2XTvC9CPSrhuAE+mVyAr100t62a7r22mvp8ssvp0wmQ7mcs2fqFGKK21R5JJQnAmVDoLvdbq0sKjhVMJVepRUlKy/lEiekvOTR19YIgW4jJgR6Ye0RAt3CRwh0W0+EQO/EQgh0WymEQNdYCIFuq4QQ6BYWQqDbOiEEuoWFEOi2TgiBbmEhBLqtE0KgW1gIgW7rhBDonVgIgd6tFEKg93X3b9tOL3vXpZO/EOilw1pqGjoEHnroITrxxBN1AxTPud9++9Huu+9O1dXV+v9bCldcccWWksjvQ4RA2RDoBx10UDeB3h8sXn755f5kkzyDgIA4IYMAagmL/Oph10Ft3sYY24Ks14T4ZDU+uxAdxaQLWx/M9AzJMFaTrMEvtjKV+FWWUZli22h68QqU7eobIW2tLwpxAQPL5N6YW9xaD3kzWZwcDTde2eJ2Of8ijSuT23TmyuTqDnkT0O6giX1OZgzHGmgyfeTigkYSylwdqYK4joQP4iIJRsfWVKLeNvMOihnH7riYD/1SWCQZTN6KtSjD4CYssG0ijgMDRUA5HBq6we401uOJYlzlI/Ogg7k0Pz4cC3azhK48t8JEjp0FRbqy2EZ3CuNSFSiv6vc2QHkts0Zhs5lhlDMQyCyKQJdV9wbWk9uEdiKXRL0lrn+hCkYGzq5jcjF5iSOh1QeHQRwfWT92Msc469Gxfmhj1ouYhVag/Tc3tqEMOiK8OpnYnmx9NdrMMPaleccA4siYIyOOChBoYuaJGNrgyBgP2+60H7EwmXoq1uPY8n+4HNs9ZgTEbfhyDcqA0dF800TlauyjGcW42AjsY6yWGR8MFDnOjDI2Ko2iogwTpzqcCjMGN8TEZbAi7iNul4lyrahCYz06jHrLzattCRwbqt2N69BJGf1fFFj1glaQq3tjE8q6BdNxtnXN2TMgL/cRgkqUqEcssj5nfoYRQWFnPZg3ZzI2vQptY2UYbUdtEH0tPb8xSh5Po0J2MPN/W2sQ8d6A9sTbjPrka2H8AeZ2vfoPePu29gC09bFRDN6jUR9DIYyr9KNTEEmiz+M3cT4xDf7EQiXj6/kNJr+L0R1CzLiPJzvS2MaGCGIzsQoBb8kz3ljfkfFRN0ZDIMT2OMqfM/ThACMDBq+wh3HWtN4iZknG0WiKozHc0IZOZirFzJdZxlanmDWGl5nzGNuocMgxjmYogH00mP7FmSvlU2mcmFMpjJtQ3wximF6zHuOCa9l5OZ5Dm/D8xp0hbSuDd8CDNirMyJqzRSaDQ76PrLm0WWYccR3kxhbXHm7tF83gGOT0LsNO6kScrJ3WzY1Vrn+s3WHWjV43b8uCJupoPMP7cJvXX+XB+SidQx2NMeWtjeDcz81P6Qy/7myN4vhPJ7DuLDOOcmnG4WJsAjEEOjHpXIydyKuejJ1wtaKN8rRivz0dqAEZxrVKVjnzMbLBPCfyGHgqatHPCPlx/M+oRzsz3o82ysNsEgTdzHqQiH6y83P8WkhiyxYB2bsunWh6EehXXkZmDe4HDFZr0s0ttOZXV+niV61aRePHjx+sqqTcbRwBRZi/8cYbNG7cOHrmmWdot91228YR2Xq6XzYE+tYDqfREnJDhrQNCoNvyEwLdwkIIdFsnhEC3sBACvYedFwLdAkMI9G6lEALdgkIIdNtOCIFuYSEEuq0TQqBbWAiBbuuEEOgWFtOFQO9WCqckthDohfdfhEDvXL8Jgd6tKEKgFx4z28qvsnddOkkLgV46rKWmoUMgHA5TJBKhO+64g0477bSha4jUXHQEhEAvOqRSoDghw1sHhEC35ScEuoWFEOi2TgiB3rkBIyfQbaUQAt3CQgj0bp0QAt2CQgh020wIgW5hIQS6rRNCoFtYCIFu64QQ6BYWQqD3mDuY2znkBLqNj5xA78RCTqB3K4WcQB/ee5Glbr3sXZcOcSHQS4e11DR0CNTV1VFLSwvNmzeP9thjj6FriNRcdASEQC86pFKgOCHDWweEQLflJwS6hYUQ6LZOCIFuYSEn0HvYeSHQLTCEQO9WCiHQLSiEQO9BgsgV7hoMIdBtnRAC3cJCCHRbJ4RAt7AQAr3H3CEEejcYcoV7JxRyhbs9QOQK9+G98VgGrZe969IJoSfW439T+ivcV18uV7iXTtrbbk377rsvvfPOO/Tcc8/RwQcfvO0CsRX2XAj0rVCoQ90lcUKGWgIDq18IdBs/IdAtLIRAt3VCCHQLCyHQe9hZIdAtMIRA71YKIdAtKIRA70GCCIGuwRAC3dYJIdAtLIRAt3VCCHQLCyHQe8wdQqB3gyEEeicUQqDbA0QI9IFt/Elukr3r0imBEOilw1pqImpsbKR//OMfNHfuXFq6dCm1t7dTJpMpCI3L5aIlS5YMCL5bbrmFzj33XDrvvPPo5ptvHlBZkrm8ECgbAv3VV1/tMzJKuf1+P1VVVdHkyZPJ6/X2uQzJUHwExAkpPqalLHHOwddCdUYszTYhFfZAfMsOOA5TFZg9E8S4rIlxyXFJiHSZWYgzffxkWB2KQtpZo1ZCXDprQFyWcFW2KlIN6Rqi2EGD2fDwGNhG7ho+VUEux6wIHSpChTcBKcNcnCeO8ksGIK4xzghL8WUJH6T1m6gru9atg3StTD3ropWQrj2OdSSSqHfx9dhGXyPKVFXgaUcgObjHvIm6k6hj+vzEuzhmwtiXxuOmQzquXkZ1dL76txpQbz9f5FAripvMHFHPFth02FQcrzhcydeKYyFRxcgrl8N6XDg2mOFLtR82Q97Mgi8cA+HmfAo31u0OMQYu4Md6UowdTaawjduPhbhEHVOe1mXMb7SjzUzV47iO1+A4Cn/ShPKL4DjIVYXQXgawPJXI3Y72KFOD4zVZhfnbx2McNz5yjOq4k6g7WQ9jV/OY2tBalJd/XQzHegfa0ZwXJ7Pm3XDuiNdg5VxfmKnIagczPDgFdzHTYwZNGaVRrJRzM6pciRVnQliJtwplr0qrCGJ8XTCCcw8ztyaSiG0mi42sDKJc6pk6ljXUQb3JBhwvKpF/PSpa/UfY79AitD3x8VVQTyrE+B2MH9S8E/YvGeaFn6lCvXV50Ai7DYzLtjPrKO5aWC/m9QTRFnm92JbR4TbHNjjFGPZUBjHrYPyE9laUobEJ++dpxTFooAklN6/K7Eci0alYQGUt2tG6CtT5eBptXorR75EVHYBjyGQaTkRBJp7zPbm3lrnrkd95D+f5ybushfasfW08xO192CcQ15Bg5lAiiqUQCx/jYzbHcD7piKOsOb/a60EdrfSjsCs8PLa1PpRrRwqNa3OC8a3bsd+ZDI51gxmrQT+2x+PGcRll/GU9dTDO58RqtFt7VK9m9Axt67LoCEj32uopEOdnbMK5O7wC6f4/e28CJldR7v9Xd5/T20z37DPZF0hYEgiEEFkDBEEBFRVkuahssnkBxXtBf7JvKiJy9coiKLKJ90pQ/COIIlxA9rCHQCCEJGTPZPbpvft0/586NdPVk+/bSXdPT09P8p7nyUOo1Pqtt96qcz5dVcuj40g/4ScG5/PtM9C3Er7DcKA+jnwL7q1yNAhtvS763TjoRn2cxGTd6Mbx73FinmmBNrEljpN1V5x+V9tanHz19rrQh3uINlLvbylioUDllyBe9ENJHKtUX8l2UO/lYSI9pTflOygtIoQP7o3h+KVeT+IpYgIXQsSIcZghILiVxL5OJ6l3Ixwe1LcRhwvXCQ5qTs/zzSEVInzwJmyjiaZMzplp4jUh3w8tt24hMXztKPFm4iWzGX14fT366pkN+F49vQbD2kxct3icOF5kff5992cLXuNwxOpQgL9dV64fhgD060ZhB/o1vAO9cr2tS5LgetWqVQUBbJnqsMMOG3Y1Fy1aJM477zzR16f8d4aatIlSJGPcHmTfXuWSyaQ46qijxKuvvioeeeQR8aUvfWl7Sfjfx4gCVQPQnU6nkMZa6mMYhn2/wJlnninOOeccYZr0h9xS8+d0hSvAi5DCtarGmAzQda8wQFdaMEDXNsEAXWnBAF3bBAN0pUWaAXrWKBigKykYoGs/wQBdacEAXdsEA3SlBQN0bRMM0JUWDNBz30UZoA+qwQB9QAnqt8XE5gIG6HocMUDXWvDfhirA364rZxEM0CundTWU9Jvf/EbccccdYsmSJQVXRzLBVIr+gWKhmbz22mvi0EMPFel02gbnEyZMEHPnzhWNjY1CcsftPffee+/2omz33+Ud6GeccYZ44oknxKmnnipOPvlksdtuuwm/f/s/dpwyZcp28+cIo6NAVQH0ckggB9zs2bPF448/LtjwyqFo8XnwIqR4zaopBQP03I8WvANdqsEAXdsEA3SlBQN0bRMM0JUWDNC1TTBAV1owQNc2wQBdacEAXdsEA3SlBQN0bRMM0JUWDNBz30UZoA+qwQB9QAkG6NkBwjvQq+kr4tisC3+7rly/MUCvnNajWZLcwX3iiSeKv/71r3Y1Ct39LeOWYwf4CSecIP7yl78In88nJMQ/7bTTRkWOZ555xi67owNPNslXoXL8gGBUGruTFFo1AP35558X8qiDq666SshfjMhfiZx00kli//33Fy0t6liwLVu2iDfeeEPI4xg2bNggDjjgAHHdddeJaDQqli5dKv74xz/a/5XPrFmzxDvvvCPkznR+KqsAL0Iqq3e5S2OAnvvRggG6VIMBurYJBuhKCwbo2iYYoCstGKBrm2CArrRggK5tggG60oIBurYJBuhKCwbo2iYYoCstGKDnvosyQB9UgwH6gBIM0LMDhAF6ub8E7nz58bfryvU5A/TKaT2aJd1+++3i4osvtqvQ1tYmzjrrLDFv3ryCd4Affvjhw6r+uHHjbHZ47bXX2nxxNJ5LLrkke/95pX9AMBrt3VnKrBqALgU//vjj7SMOLrroInHzzTcLj4e4oFHedROPi0svvVTIgXnMMceIv/3tb9n+kgPkRz/6kf3LlV//+tfi3HPP3Vn6smrayYuQqumKkirCAD33owUDdKkGA3RtEwzQlRYM0LVNMEBXWjBA1zbBAF1pwQBd2wQDdKUFA3RtEwzQlRYM0LVNMEBXWjBAz30XZYA+qAYD9AElGKBnBwgD9JI+93GiHAX423XlzIEBeuW0Hs2S5EbX119/3d7U+sILL4iGhoaKVsfr9dqbc1955RXxmc98pqJly8J+//vfi9NPP90uNxgMiq9+9atizpw5or6+vqAj5OXR7/xUpwJVA9DlPQPf+ta3xBe+8IXsUQ/bk+yLX/yiePLJJ8Wdd94pzjvvvGz0hQsXCrmj/fOf/7z97/xUVgFehFRW73KXtvDzP4UsHWniTU3+mKUOT3jone6C9Il6rKXlwzwtbxojBvAOFKcL4xlui5RiZusWCN8t2A5hPUkfhK3ub4SwvrgXwpwC2+JyYpjDgWGZDEL6fH0a8MTgn/xGEsKm1XRiHYmyV4aaIV5HtAbC0nnq6CXKpuqTyuDHH0rHnjD2gc+D7Ysl0O5iq4NQb3c3rW1gDfZDw+8XQ/qMRdiUg7g3J4P26Jy3F+TXOScAYUYce7vhTbRZGSv10YpyD/eC8nMSd/X0HT+HTJv0oeYtL2zG8TavFcKCH/ZBmBVwQ1hkHI7BwMp+tNu33i+ofTKS0dSEcb34I75MH5bjcGMdRUMd+sFJ6AjTBtqT5cUwh0X7YN/6EJTjiCYgLDaNeHEhsvS+twZ1IO6Kiu49CdtHzAcyktmP48jdg3WMt6De4TYc6xmcYkSaCDMj2MAUYZ++DmLeEULUvbkJbWrdBtSbGB+9x+wB8eIB7FdnqrA6pgkTkwVYJnaXhcNDGBGMR83LiQbC59XiHOyuQb8c8OP8FHATDk4IUWNi/zuJOaorhveERZPYaGpOoAa/aWD7QmEUzOqlBfetRXsMrKXH5tblRxvRNzoJ0+ufjvmlqbWRn74fzvQS/eUm1lGE3uEwjkEHsZahtDVM1NYg1mo1Hux7mZ+fsIlwAvvB50bbo9ZgXRG0nVAI+9r/Nq47UhgkPL30dNK7OzFmajCsqQXnt3E1xLwl0E7cTkJbwnj6EvQPz8l1WRr9kddAO0kR8dq8WO/OBK4dqfo0eqIgZAcxzmWkWArHukXUJ0mExRKYNpnCiYLyCQ016DANBz1PUL6sP4n9EIpjWMrCPpjbth702TuwDsIaXWEI8zpxbGxO4lpEJmw0cO1AWfi6BL4HtZk4GN4N4X2N73WPx/mS8DvTAl0Qr9ZF+wmDGAtLuidAeoMYH9Q4iBA2Vkv4ItLn5bEJ6p0naKLdU230Ee0OWWg7/Un0ZV1x9HluF/oOrwvtRLavjqijx4k+IZ7GeXB9BNe3lA6UjrEU5hdN0nNwd4HvifVe1NtD+LegiWuUUArL3tiP75gZYuqnfIxsc5rwUS5ifozFiEUdIVomTcwTHuwrL/EOTfVBOELPHalNOBl6OtBvUcPVwC4QDuq1mggjTF7E0RXZTYlNQHv2N2LhbUGct1p86EdbiPmtycR4lB+U9bloj/+jFwscWrUK8LfrynVNrtaTr7tSGPXER+IRqk6qp0esveZGO/e1a9eKSZPwW8YIFb3TZSuhcTgcFn/4wx/EKaecUvH2T58+XaxZs0a8+uqrYv78+RUvf/AHBHvssYd49tln7V34/OwYClQNQF+wYIF4+eWX7bsKvvSlLxWkrrxT4ctf/rI46KCDxEsvvZRNc//999vHRMijG+RR7/xUVgFehFRW73KXxgBdK8oAXWnBAD1nlDFAt8VggK5tggG60iLBAD1rFAzQlRQM0LWfYICutGCArm2CAbrSggG6tgkG6EoLBujaJhigay0YoCstGKBrm2CAnvONgv9akgL87bok2UpKxAC9JNnGXKJBgP7mm2+Kfffdt+L1l6dQ/+53v7NPrL7gggsqXn5dXZ0IhULif/7nf8TJJ59c8fK5wJFToGoAenNzs+ju7rbvOJ87d25BLX777bftuxTkkRCdnXrH5eLFi8WBBx4o3G63iMVwR0xBmXOkkhXgRUjJ0lVFQgbouhsYoCstGKDnDE0G6LYYDNC1TTBAV1owQNc2wQBdacEAXdsEA3SlBQN0bRMM0JUWDNC1TTBAV1owQNc2wQBda8EAXWnBAF3bBAP0nG8U/NeSFOBv1yXJVlKiIQD92qsqvwP92hvsevMO9JK6r+BEktG988474p///Kc48sgjC05Xrogffvih2H///e0NtZIZBgJ4Cmi5yqLyGWSbo/UDgpFs286ed9UA9NraWhGNRsWjjz5q34VeyDO4A93v99u/8Bh8BsG6/OWHhPL8VFYBXoRUVu9yl8YAXSvKAF1pwQA9Z5QxQLfFYICubYIButKCAbq2CQboSgsG6NomGKArLRiga5tggK60YICubYIButKCAbq2CQboWgsG6EoLBujaJhig53yj4L+WpAB/uy5JtpISMUAvSbYxl+hnP/uZ+MEPfiAuueQSceutt45K/SVX/PrXvy723ntvezf67NmzK1aPQw891L5//YknnhDHHHNMxcrlgkZegaoB6HPmzBHvv/++OO6444q6A/1vf/ubPSjefffdrFrSUOUx8DNmzBDLly8feRW5hCEK8CJkbBsEA3TdfwzQlRYM0HPGNAN0WwwG6NomGKArLRiga5tggK60YICubYIButKCAbq2CQboSgsG6NomGKArLRiga5tggK61YICutGCArm2CAXrONwr+a0kK8LfrkmQrKRED9JJkG3OJ4vG4kPeAf/TRR+Kpp54S8rrmSj5nn322XZxkhHJzrcPhsJmhvJNcbr7d1iPj3nPPPcOqrkwvj5H/5je/KeT10vzsOApUDUC//vrrxbXXXmsb98UXXyxuvvlm+wh26kkkEuKyyy4Tv/rVr+z41113nbjyyiuzUS+//HJx00032b/2kICdn8oqwIuQyupd7tKOOOankGW80SCLiTU4ITzaglEtL4YlJyQwME0Uk3FAoMO0IMz0pcg6HjR5NYR7nBj3g542iNcb8UGY04mVNFwYZhLxHI5Mwd3lItLPrNsC6Sd5e1ALB+qzIV4H8dZH6iGsK4aLCqouMmHAjEP6VV2NEBbuwjwdFvarK5CEtF4f2ollod0lV9di2s1Yhow0+fEOiGstK/OPrQ7cB8ron4725O0ibPkfrxdsJ8OJ6CTmWOekCZBl5yHjISxNuwTR8gpqm/rw4+FUE9K66tCWrd5e9BMuF6adMZ2sS6oJ7cfY0o/tXr8RfcKUiRDWNwvHQbwO7ZZyCS7CNdYvxXEuC3UkCL+XQT+TGBfEesfR9oyVG1Af04Sw6F7Y5nyd7OmIYt8s/xTCMhbWx0lo2/mZZkib8hDzBOFu3SH01TXr0Y/JAoz3VqGf6CH6gfhRjasBbdRRj2HCiTaRrkN/GZ5cQ8rbvh/aeKIJdRReYt6qQUPzE/6WAp71XuzTRk8E6ugm5loZKZTERUEohWv+hIXt64thWiuDOroc1IICZewNo1+O9xCLFiGEbz06Phc2m+yrRAMGJ5px/AZb9YlagylqvWijGWJtJONT8zUVZqVRs0QK9XbQ0yg0xmvi/O1xEf7pyHWkPmuvPhjCJx6+FsKavSh4JIU+KpREe2rvxyP8wr1EX8dRB5GihXA14DhyEWvUliD2a70Hx5GTmBQSaaxPlGhzvh87+gzsmyQxtvoTHtCbWsu21eDc6Hai30kL1CyWwjEUJvpKVoRKT9U7TuRJGZmVxvpQ48g0sC2uItbvKWJsUWX73dgvezRshqq3uNF2dvNtgnjhNPZfd4qeO+b41kD6LgvXQbE0ji1LoO/4ezvu7KH8d9CNvixmoU3UGsRCSP5QjxgLlO25Cd9jEHOCSdhtkigjQsxP1FiVogZMvD4wYBR2pWDUQr03x3D9RmlrEO+NVB1rDXrNQ403nwtt1ClwcbUxinWk/HJPDOfbSAx9db75LR5BfRxOrE9rE/ooyifUEWuZXqKO/TEcWyniXTSfTfg8qGM8medFaquKEkt64XXj3Er1P+WLqLVRZzeOfVkN51rsLw/1OkKst010W8KJMogMNd1isSJBLKFlHWMTUIvWiXgCaWsNVmiXWn0F6KDs1LplorvwE02/t+dT+V6HOLxKFeBv15XrmCEA/ZpROML9Oj7CvVK93d7eLk444QT7iubvfOc74rTTTrMBttdLv2OXs15Op9PmhINPJpMZ8v/5yhqMZxHfpIqtnzxVW27s/eUvfykuuuiiYpNz/CpVoGoAeiQSEfvss4/45JNPbOOeMGGCOPnkk+07zltbW2355CCUA3DRokViw4YNQhq43GUuf1ni86mVljT2XXfd1b7XQh4X8d3vfrdKpd9xq8WLkLHdtwzQdf8xQFdaMEAvYUwzQM+KxgBdScEAXY8jBwN0JQYD9KxRMEBXUjBA136CAbrSggG6tgkG6EoLBujaJhigKy0YoGubYICutGCAnmMTDNBL+JixcyThb9eV62cG6JXTejRLcuVsYikUXg/WV7LAVIreGFdom6ZNm1YQMM+X36pVuImi0LJlvH/9619Cbvq96qqrxOLFi+3d+KeeeqrYbbfdtrsDXqY/7LDDiimO41ZQgaoB6LLNEnrLI9zlUe7yyf3VSK4mchDKZ6+99rJ/1TF58uTsP3/66afivvvus///nHPOERMnFr5LqoK679BF8SJkbHcvA3TdfwzQlRYM0EsY0wzQs6IxQFdSMEDX44gB+oAWDNCzRsEAXUnBAF37CQboSgsG6NomGKArLRiga5tggK60YICubYIButKCAXqOTTBAL+Fjxs6RhL9dV66fhwD0q0dhB/r1vAO9Er0td4CX+kgGWI4d4KWWX450W++ALybPcvyAoJjyOG5xClQVQJdVTyaT4rbbbhN33323fWcC9chfbpx//vn2UQgmcbRocRJw7HIrwIuQcita2fwYoGu9GaArLRiglzAGGaBnRWOArqRggK7HEQP0AS0YoGeNggG6koIBuvYTDNCVFgzQtU0wQFdaMEDXNsEAXWnBAF3bBAN0pQUD9BybYIBewseMnSMJf7uuXD8zQK+c1qNZkrxieTjPNddcM5zko552Z/8Bwah3wAhWoOoAem5b5THtS5cuFd3d6t6ZhoYGMXv2bN5VPoIGUY6seRFSDhVHLw8G6Fp7BuhKCwboJYxHBuhZ0RigKykYoOtxxAB9QAsG6FmjYICupGCArv0EA3SlBQN0bRMM0JUWDNC1TTBAV1owQNc2wQBdacEAPccmGKCX8DFj50jC364r188M0CunNZc0ego8//zzwyr88MMPH1Z6TjxyClQ1QB+5ZnPOI6kAL0JGUt2Rz/ug034OhVimgyy4fyqGp/wYNVWThsB0jYUR05ifw6WubMh9nF68F2VSq/qhzdbP1FoMXxeug3ib+wIQZriw3k4nSkGMzQAAIABJREFU1sftwrbkg87QFgfmJ+PsEuyE+swKbIAwvzMBYSsibRDWlcSOWd3XCPGoj5P52tIVwjzjfR7I073BDWFmP/aVEcGweAOGxVpRb2cSjwqaefk7pE2ko1EyvKyBB+0D2fVPR71ccez/wMe9ZFUSTZje8rvQbsM4PlyRJMSLjvNBWCKI+dWui0O88ATsZxkp8IdXyipjoZk5DBOiOmfNgLCe2Tj27UgO9D317+IYzKxci+VMwatiOg9ogXiWG8twJgn/Rlz71PAW1sWudk8flJNpDGK/jiP8WwhtwtWLYyPtQW3TNTimHQnCp8sf4KzZhFp09WC9U0R9Aljv5LyZ2AcJ9NWu/hiaTwrjOeLoQ2XC1Ko1mD6D6Qu1USqe0+PFtjSh0wvP01cV5SZYtxDHq3tKCPW20D/6fTiuqTmv3os2UWuiZl4XGm5XHH2MrNynHTj3JCJoZyJqoD4xbIsDTUcI4vS4DLGUcSaIcZnn6jUPscywCFfoINIniLksOQ51bB2H/r/Bh5OjM8/agbKzcBLHaziBYU6B/shjYmNqCuz/oIljMJHGPpV1NpzEvE7Uh2pfWmAfhpLYMd2EPXaHcV6NxtAWXQY99uv82MbOD5qhmq17tUOYhxgzDqJfzSvq0V/+pKtg1xO3UPP2XvStqRQOmho/+omAF8N8Bg5CqtxECutCtVk2LkMMWIt6T6DGdYHjI005hYKVFSJhoQ8euGluSC7Ue0K9D33rBD/O6R2xGqjR1Frs/+4E2nKzO0y25tDgcgh/OzIVwvpSOEel0tjmN7dMgrQBN9rJ1AA6UeoHIn0JLFcWQMUd58MXisY87d66klEL/WDUwvHfl8T6UP5N5l9vFvaOESLK7iH6MEaM36CJ2voNDOtL4hzclEcbpwN9XC+RnjIoqr+2RGohak+YeO8IYx9kkvR3BwfxrpdxE+s66tuBScwxhF+n/I7bjfMg9T3A66YWI0JYafStFrEucxPzrenE9nkJf9sTQ22pdUJvP8azYvS8bG7EvnHj8l1Q7+9mGNcTLmK5TQwDkQhi/yfyvL7FxhPfYOpxLLTU49q4jljf1rtxTp9NfH/ZEKcr9Ot5DxYxg3DUalCAv11XrhdytZ5yVeWPcF9zAx/hXrnerr6S5N3quZtzDYOe+6qv5lyjalGAAXq19MQOVA9ehIztzmSArvuPAbrSggF6CWOaAXoJopWehAG61o4B+oDfYoCeNQrqQy0DdCUPA3TtOxigKy0YoGubYIC+7XUJA3SlDwN0bScM0JUWDNC1TTBAH1iXM0Av/UWXU46YAvztesSkhYwZoFdOay5JKbBs2TJxxx13iKefflp8/PHHIjPwK1d51/jMmTPF0UcfLS644AIxa9YslowV2K4CVQnQ0+m0eO6558Qrr7wiNm3aJCKRiLjxxhvF+PHjsw1KJBJC/oLE5XIJj4feCbfd1nOEEVGAFyEjImvFMmWArqVmgD7wwkv8+l3+C+9A38awZIBeMZ8lC2KAruVmgD7gtxigZ42CAbqSgnegaz/BO9CVFrwDXdsE70AvftnCAF1pxgBd2w4DdKUFA3RtEwzQB9blDNCLn2Q4xYgrwN+uR1zibAFDAPqVo7AD/UbegV653tYlJZNJ8dZbb9nXM3d1qROUGhsbxV577SX2228/YZrEKXRlqOgPf/hDccsttwjJFwfB+dbZSpAu7yy/7LLLxI9//OMylMpZ7MgKVB1Af+KJJ8R3vvMdsXr16iG6v/fee0N+FXLnnXeKiy66SNTW1gp5V3pNDR5vtiN3XDW3jRch1dw7268bA3StEQP0gRdeBujbHzhbx2CAXrxmw0jBAF2LxwB9wG8xQM8aBQN0JQUDdO0nGKArLRiga5tggF78IoQButKMAbq2HQboSgsG6NomGKAPrMsZoBc/yXCKEVeAv12PuMTZAnZkgN7e3i4WL15s/3n99dftP52d6gq+M844Q9x3333bFVrGOeuss7YbT0a49957xZlnnrnNuHIj6u233y4WLVokVqxYIeQm1MmTJ4svfOELNnObMmVKQWWVGkmWf8MNN4jf/OY32aPTt86roaFBnHfeeeLKK68Ufj9xF2yJhV988cX2zvNBcL7nnnuKAw44QIwbN84O27x5s91XH3zwgV2CBOmSL/7yl78ssUROtjMoUFUA/be//a04//zzs0be3NwsOjo6bGPeGqDLwS93pPf09Ij7779ffOMb39gZ+mtMtJEXIWOim/JWkgG6loYB+sALLwP04gc1A/TiNRtGCgboWjwG6AN+iwF61igYoCspGKBrP8EAXWnBAF3bBAP04hchDNCVZgzQte0wQFdaMEDXNsEAfWBdzgC9+EmGU4y4AvztesQlzhYwBKBfMQo70H80cjvQJbPK94wGQP/kk09sUP7RRx+R1aqrqxN/+MMfxHHHHTciBrBmzRpx1FFHCVmPfLu/BwuW2s2YMUM888wzYtKkScOuz0svvSQWLFhgc0QJzu+++25x8MEHk/nKU6/lEe6SN8r4L7zwQt64w64YZzDmFagagC5/ETN79mz7WPaFCxeK2267Teyxxx72cQoUQJfKy1+qSOgu4fkDDzww5jtjR2kAL0LGdk8efMrPoQGONN2m7t2c8A8pH8ZN1WQKEiXtIQoyMa1RF4f8JjX1kGWMr+mD8E96miEsFHNDmGlYEOZ2YRgJ2h1YbwcR1uILk/Xev/5TCPc78c1zY6IO4q2P1UPYpkgAwrqj+Cu/eNKAeMmki6xjIoSaubrwCB7vFlxQeroLMgkhqLUoYU6Ny6Joty+8XWAh5Y9mTJwAmfYdMBnCLC+OoXy1SWPXCEENLUIzChxR2jpTWHrjk8txnHfl6cBMHmdRRold9WjfyTnTcUxP8aJNWLQvMsNY79olmyF9enM7hDkDtRAW/gzWJ15Pj6OtE1N91bC0l1TQuQ7rk54yDuImGlCL3l1w/FoYTVB2lyZO2nKjq7XrUbcyCfXxbEK/5+zph3gZP04ojn7CZxo4ODI+vN4nHcAw16qNpLapLR1ltFo6K4cLbSJ+9H7o0xdSg1+Iur3UL9tzn6AnBmHUvOU3sF9CSbSJaAo7uzeC/eIkfmjV24ljQ1bO3IjleLApwonTLenyqHik3RIyZqhhmcctO3HpIcj1EeGD4+i2RKIRG+gbj/bdEgxBnzZ4cM6TkWIWNjJM9KtBVDyVwYY7iXULBQPqifqM96NTSKZpP5gmHF8oVdgVXX4D10YpohxKGyqsN4b2XeMmOl8IYRB23+iJQH91xPCktHo3jtVaE8N8Lhyr6yNoUKk0bbg9cWxPXxSdfcrC9NSPbwI1WEevgYsHyk4oT0j1vYznyvPjza3zoGzU7cL6UH6QKttNOJREHruNE+ONaqOP8LdUvFYvjvUaA23PJMZvR6Lw0/gCRJ7rI/g+QfqTBDG3EuOX6pcWP7av1sT2dcXpXUjUDxYavegLJ/lwjZom/JtFLIT7k8RCiOgsD2FjMpqbWEhTeVJtTBP1oeZqSodmwnYoOwlbOP/KejuJ2ZXqQ6reXTHsr+4w+p1IH6FtGOcsZ5IGEWmDWMP7iYWCC+OZXvQJacLnuYh3f+p9qdaHdkvNB1Jbr4k+PJHCdltpbHetB8vJEOON8kU9RB9Ee4j1Wx+9xjR7C3t/d/eh3sS0RS6EqTUUNfXHGmmbSOLnDRFvJb7fNKOfME2M11KLPmrvBnxPiFIvQkKI3+6//V2mI/5ywQUUpQB/uy5KrmFF3lkAutzlLcHtU089ZetVCkD/xz/+ISZMwO+Jgx0gQXM98U1M/nsoFBLz588XH374oR393HPPFaeeeqrw+Xzi2WefFT/5yU/sOHLHtwTIc+bMGVa/bp1YHtm+77772vePy0dyPbmzntoBLnfdD+4Clzzw7bffFgbxXaeYCp5++uni97//vdhll13Em2++KeSPBbb19Pb2innz5olVq1aJr3/968wWixF7J4tbNQBdHpcgj1iQ9yC88cYbwu1Wi/ttAfQHH3zQdkYyzZIlS3ayrqve5vIipHr7ppCaMUDXKjFAV1owQC9k5AyNwwC9eM0KTcEAXSvFAH1ACwboWaNggK6kYICu/QQDdKUFA3RtEwzQB/wEAaIYoGs7YYCef2XKAF1rwwBdacEAXdsEA/RC32o53mgrwN+uK9cDOzJAv+aaa2xoLf+0tbXZVxJPn642VJQC0CXMnTZtWkmdc+2114rrrrvOTnvzzTfb93vnPhKaH3bYYdnNq//3f/9XUjn5Esnrli+88EJ7I+zll19u10VyPeqR95PL+t544412fHnkvNwRPpxH6i53wN91113inHPOKSgrecy8PA176tSpNkjnhxWgFKgagC5/obN8+XL7foSzzz47W9dtAfSXX35ZHHrooSIYDNpHufNTHQrwIqQ6+qHUWjBA18oxQFdaMEAvfjQxQC9es0JTMEDXSjFAH9CCAXrWKBigKykYoGs/wQBdacEAXdsEA/QBP8EAPWsUvANdScE70HPWmMQJJLwDXenDO9C1nfAOdK0F70Av9G2+euLxt+vK9UWu1lMvr/wR7p/+eOSOcN9axdEC6HL3d2trq83HJGNbunQpCa8lpJaAWT5yA6vcgV2u58gjjxTPP/+8+MpXviL+9Kc/FZTtiSeeKB599FH7NGp5lPtwHrnTXl75LO84L7Rdcqe6/PGD1+sV8u52flgBSoGqAei1tbUiGo2K119/Xey3nz6+clsA/d133xVz5861j3iQA4Sf6lCAFyHV0Q+l1oIBulaOAbrSggF68aOJAXrxmhWaggG6VooB+oAWDNCzRsEAXUnBAF37CQboSgsG6NomGKAP+AkG6FmjYICupGCAnrPGZICuxCBOD2eAru2EAbrWggF6oW/z1ROPv11Xri8YoG9ba3mcuTzqXD6l7kD/5z//KT73uc/Zedx0003iBz/4AVnoq6++Kg466CD73+Qu8R/96EdlMwQJ8Ds7O8Vjjz1m38NeyPO3v/1NfPGLXxTNzc2ivR2vKCwkj8E4DQ0Noq+vzz6uXu60L+SRwF/Ce3nce3d3oXeNFpIzx9mRFKgagB4IBOxfemz9K5FtAfSnn37adg6NjY2io2Pk76rckTp+JNvCi5CRVHfk82aArjVmgK60YIBe/LhjgF68ZoWmYICulWKAPqAFA/SsUTBAV1IwQNd+ggG60oIBurYJBugDfoIBetYoGKArKRig56wxGaArMRigZ43CQ3AFBuh6zDBAL/Rtvnri8bfryvXFEID+w6uFkecO75GoUaqnR3z6k+vtrNeuXSvkHeIj+YzWDvSrr75a3HCD2mkvj2o/8MADyWamUin7DvVwOGxDZgmQy/V4PB77eHi5s11ueC3kkXefy93i8irnWCxWSJK8ceSGXLnZ9nvf+5645ZZbCsrr0ksvFbfeeqtdX7kbnR9WgFKgagD67rvvLlasWCF+//vfi3/7t3/L1nVbAP2qq66yfykjB4gcnPxUhwK8CKmOfii1FsfOuhySJlpryew69vVBeAqDhBHF5IkAEVaXgUCrJg1hrgY8cWJiC/1LMZcD01ONSaZdEBxPGhBmuIj6ODHMIMoNuOOQ357BTaS2zWYIwpeFx0HYhkgdhEVTJoYlMCxhYZszxMfEZArjyQIcxIeVWNSNmq1Eowisxma7w6ijI4XxzJAFgb7FK9B2ukbv14MOF2oWOmE+1DFDSJtxEl9qhBAZ4uogwmxJezLDOLaMOOrtJMLMp0ZvfnXO2wva07MHOg+nRfgOE3V099P+IPD62sJcZgbLEQ4sp+OoqZAfMVwE1X9OwuabnqfrlwnWQDntBzdhWwiTogCjhcNXWF7MLkn472QdjkvbT1hYeMZEHZ0RNHCrDsVofAN9mb8dy4604uAyI1hu/Udhsu8zi5dieKaw+aQwY6JjGbvgfWepNvTzMnXHPtj/PYfgS6fpQR39PpxHuzdjxxo9OA86koRBOVFbV4z2ZWYfYaLE0KLGAjVmLA/ml0YzERlsiqDizfjFx2Tn9CzcFcLr/w/nno0n7Qbx+qdjA9NuIqwGbdlbj33qNujxRv3wz2cmoT4JYl5PE5Sgxl3YCV8tPhxHfhemrTFwHSQrV2/iQrEvhc5ncyyIc0Ic41Frujo36khB9VACDcproIayIo1erHeLpx/7n2iLUxD+iNAhSUz+ccKB9yWJBbgQojPqx/oQbSx0/UfZmJ+wEycx6VH3RieJtaisMGW3aWKN6nWhf6s10c5ShPPwEhf1RlI4EVJ2IuuYIPKk6tjoQTuh8mzx4tp/vKcX+o/q/81xHBv55qIUYVPU0dz9hJ1EEqiPx8A+oOypwVfYsZjUj35kW6w0rhOaCd8z0Y9X+1H9ki5wbFE6UnYi41F+NJbCySdCvKvVmugzg4TfonxHgvAJrYQvovyqrPe6MK4z6j3oM6l6d4RxLRKOo51E+ogFZYhYY6TzvAdRwSaxLvMWuFajohHvWr4A6kDZos9Dz5d1PkzfG0UtUoQvdBHfGMIRnKPSKax4OobrYFcf6u3bROvtIdZqrhjOW9T7jTNZWDzqPZ8ab5aHrmO0BcPjDZhDqoZ4T2zEeX3a5C2QeGIt+uCOGNq8TPiPw38xnFcATjsKCvC368qJzgB921rn7kA//PDDxbJly+zd0PLK4hkzZoijjjpKfPvb3xYTJ07Mm9FJJ50kHnnkEfvfZVoJyfM9++yzj1iyZIloaWkZ9q7v3DLGjx9v57do0SJxwgknFGRg8qh3Wfdx48aJDRs2FJQmX6Qrr7xS/PjHP7Zh/BNPPCE++9nPbjM/eWT8cccdZ0N/uRt/8AcIw6oEJ94hFagagH7uueeKe+65xz7i4a9//WtW7HwAXe44nzVrln00xH/+53+Km2++eYfsoLHYKF6EjMVe03VmgK61YICutGCAXvyYZoBevGZUCgboShUG6No6GKBrLRigKy0YoGubYIA+sG4hwCYDdG0nFBhlgK70YYC+bTthgJ7fTuS/MEBX+jBA1+OIAbrSggLtDNDL877MuZSuAH+7Ll27YlNWC0CXpx5LyLutZ7g71Ie7Az1f3eQd3b/4xS/E+eefT0aRO85fe+01UVNTI0Ih/FFmbiJ5ZLoEzPKRu77lzvFyPJLpPfnkk0XdZz54b/oxxxyTrVOpdZGsUP7goL+/X7hcLiFZ49lnn23vLpd80V6rpdNC7nqXDPK3v/2tDc/l8e1yU29TE7EZJU9l5DH1CxYsEPLYeH52fAWqBqDLu88POOAA4XA4bAMevPuBAujS8cpfsshd5/L+8w8++MAeIPxUhwK8CKmOfii1FgzQtXIM0JUWDNCLH00M0IvXjErBAF2pwgBdWwcDdK0FA3SlBQN0bRMM0AfWLQzQs0bBO9CVFLwDXfsJ3oGutOAd6NomeAf6gBa8Az1rFLwDXUnBO9DL805frbnwt+vK9QwA9Lr8u6PLXatUrz7CvZC8M9Spg4UkHIhTKkCXu58l65L3k0+ePNnObeXKlULu0JY7ywfrddddd4nzzjsPajR79mybj7W1tYlNm+iTTgcTnXLKKeLhhx+2/1dC52LA8bakkKdKn3766TbbO+OMM8SvfvUrG+hTjzxC/uKLLxZy972M/+CDD4rTTjutCKXpqE899ZQ4/vjjRSKRsPOVj9yRLq9/lv8vN+LKf5OP1FT+2+OPP27v8i/mkbxS/pGbe+VR+IN/5E56fnY8BaoGoEtp//3f/138+te/tg1aOg15hMOpp55q//9DDz1k/1cOhP/93//N3ovw/e9/X/zkJz/Z8XpmDLeIFyFjuPOEEAzQdf8xQFdaMEAvfkwzQC9eMyoFA3SlCgN0bR0M0LUWDNCVFgzQtU0wQB9YtzBAzxoFA3QlBQN07ScYoCstGKBrm2CAPqAFA/SsUTBAV1IwQC/PO3215sLfrivXMwzQt611b2+vfVz7IPDdOrYEvJKTJZNJ4ff7xSeffGIfeZ777LrrrjZwl/B9zZo12yxQQm4JrOVTznvhJZCWu7Jffvlluy3Nzc3i5JNPtjfMSrAvwyTclzvl5THvW7ZssSH2oYceKv71r3+VzSDfeecd+0cG27vuef78+eLuu+8W8kj7Yp/BHe1b95nsh1ygPm0aXtFXbFkcf/QVqCqAblmWfbSCHMT5nIaUbPBXN2eeeaZ95MK24o6+xDtfDXgRMrb7nAG67j8G6EoLBujFj2kG6MVrRqVggK5UYYCurYMButaCAbrSggG6tgkG6APrFgboWaNggK6kYICu/QQDdKUFA3RtEwzQB7RggJ41CgboSgoG6OV5p6/WXPjbdeV6Jlfraf/vamFUeAf66puutxtbrUe4F9ITP/rRj4S841s+N954o7jiiiuGJKuGHeiyQvL+dXmU+6uvvmrXLx+zG2R7cse9/IHASByFLk+7fvrpp8XSpUtFV1eXXR+5E32vvfayd5xLgF7q89Of/lS8+OKL4qWXXhI9PT1Dsslts7wSIBeo77777qUWyelGUYGqAuiDOsjjKeSu8rfeeouURh6PIJ2G3J3OT/UpwIuQ6uuTYmp07JRLIHrPIer4mK2feBDfMr3daYjnTGUgLEGkjTWo41VynxhxBUmi2YJ4ZlOMrGNDIALhDT4McxIXc/XFvZA2ncE6eo0kxAu64xC2e2Az5ieIN3UhxMf9LRB3Q38QwtwGauEg2pKyXJA24EHNIkk3lruZPl7JaWJfW114d07L69hGJ0omAp9GsV9XtWO/GtiW1Jr1GC+D9StmLJQ97sH7QpahyWhjlhttzE5IBBtRHFuBFX1QjmMl6pOJoY06anyQ1urqLrsUTg+229mEdwf1HTQVfUI92pMriTo4U1jtumW9ZFuca4ixOakN4qbq0L5dcRyD3XviMVWE6xBpEzvVQZht7UaiMUIIygeHx6M+Fsot0iZKkQygjqkg4W+DaDvBWtoHU4JTfjQcQW0TfeiPnFEc/0Y/ttkMY8kudDFCYJPthJ4+/IfG+xdDphkL9Sn7gMmToauuDv5l+dWzCireDKHtedQ75ZDHQTQv5SeKIHR0qZPR4CHH5ic4KXTtiUZqoYsSkQkF9kEtMY4sYg520kbh7DUK0lakUVtngnDgRDFpDwZatdg+TwM93lrr+qGOAWI9Qt2B7SPWMvVuLKfBjWsoShgfYQBN1MAUQvRRHUtkujkWgNC+JDq4VBr7tTeB8Ro86BQo/0QBR1mRCX6cU4IGakaBumQG60jFo+5Ujltoi6EUfXfhlijOR9QPRAszbiE8Jo6jQm2syYu2EzRpW6ba7XOhn4ha6CeoeAbhzOJpQkfCnmKE3lIvKpx6n3A7cQwHibHV6sHxW+vC+XZjHH1/kvjRSL1Jj9Uw8asjyqaosZUgygmaWMcA0a8reptxjiHeWRJ59E4S7zLUO904H+pIjY9YCvu/P4njiPQJRF1k46h3MGpsmS60Ccof1buphQvm2JPAyZGqN2WfMrfuOKbvi6HP9Bo4/qNJYhyFiPeJXlzTuULEHJznNYhaR1PaZgycR6n7t6m5Ou0n1hNmnoVigU7TqMHFkMvAxT7V7FQK9UnF0OdlksT7RIJYG/fiGtq/kW6Ir4P6plNYo6l3GYdFvKsRYWkD22J5aKNIuzA8WYthkVasd4xYO9ZNxDm9wYdjcPUaIkMhxOqzvl+YQByrahTgb9eV64pqAejl3G2dT71SjnAvpCfa29vtXecSPB999NH2Cc25TzXcgT5YH3nP+J133inuuOMOsWzZMrJ5e+65p7jwwgvFBRdckL2fvBAdqi2O7I/33ntPvPDCC9k/GzcOnVxzgXpLS4u9S38Qqpey+73aNNgZ6lOVAH1Q+A0bNtjHLUgnIXenyzsZ5s6dK+RxCPxUrwK8CKnevimkZgzQtUoM0JUWGxigFzJ0th+HAXpWIwboSgoG6HrYMEDfvgvZOgYDdKUIA3RtGQzQlRYM0LVNMEBXWjBAz5lvGaDbYjBA1zbBAH1gXc4APWsUDNCVFAzQi38/GUsp+Nt15XprCED/wSjsQP+p2oE+lgG6rH9ra6t97LncWPr+++8P6cCvfe1r9n3p8pG7wOvr898zL6HtkiVLhIS5krmN5CNhMrUDfPz48SNZ7KjmLY/YHwTq8mh6+f+5Ty5Qr6urE4cccog4/PDDxaWXXjqq9ebC8ytQ1QCdO25sKsCLkLHZb4O1ZoCu+48ButKCAXqZxjQD9KyQDNCVFAzQ9dhigF68n2GArjRjgK5thwG60oIBurYJBuhKCwboOfMtA3RbDAbo2iYYoA+syxmgZ42CAbqSggF68e8nYykFf7uuXG8xQC+P1hJ4d3R0kAD96quvFjfccINd0CuvvCLkjnTqSaVSNlwPh8P2Lujnn3++PJXjXPIqIO99l0BdwnT5X/mDArlLP/eRUF1uHuanOhVggF6d/TKma8WLkDHdfYIBuu4/BuhKCwboZRrTDNCzQjJAH/hQx0e4Z22CAXrxfoYButKMAbq2HQboSgsG6NomGKArLRiga5vgI9yVFgzQtU0wQB9YlzNAzxoFA3QlBQP04t9PxlIK/nZdud5igD58rXOPcJf3d//zn/8ckqk80v3zn/+8HXbTTTeJH/zgB2Sh8m5yee+4fH74wx+KH//4x8OvXIVzWLNmTbbEKVOmZP+eG15KlXLzKiV9oWl6e3vFww8/LOQ96qtWrbKP5WeAXqh6oxOPAfro6L5Dl8qLkLHdvQzQdf8xQFdaMEAv05hmgJ4VkgG6koJ3oOuxxQC9eD/DAF1pxgBd2w4DdKUFA3RtEwzQlRYM0HPmW96BbovBAF3bBAP0gXU5A/SsUTBAV1IwQC/+/WQspeBv15XrrSEA/ftXC7Mu//Hi5a5VsrdHrL557B/hfuONN4qrrrrKlkfuNL/yyiuHSJVIJOwj3iWclfeLyyPec48KH4ws7xy/66677P9dvHixmD9/frklH/H8XC6XXYZbnS4dAAAgAElEQVRsn9xRP/gMhpdSga3zKiWPbaVZuXJldge63Iku/18+Ep4PtoV3oJdb9fLlV3GAfv31ymmV+5FHVfBTHQrwIqQ6+qHUWjBA18oxQFdaMEAvdTRtlY4BelYQBuhKCgboeowwQC/ezzBAV5oxQNe2wwBdacEAXdsEA3SlBQP0nPmWAbotBgN0bRMM0AfW5QzQs0bBAF1JwQC9+PeTsZSCv11XrrcYoOfXevXq1fad5XPnzs0b6fHHHxcnnniikJDc6/WKFStWiIkTJ0L83GPcb775ZnHZZZcNiSOPdpfHtkvoLO/cfu6550oygly2l8vjhsv8CmV7TqfTrvfWu7YHw0tpVLl3gMtj2gePbJfHtsu74OUzCMzl3+WR/PL+80MPPVQsWLBgTP6YoRStx2KaigN0aczUL2CGKx7/SmO4CpYvPS9CyqflaOT0+fnXQbGdcwJkVcyo+qVU7uPfEIewVI0BYcka9Yux3MfyOiAs0oxh0TasTmp8gqxjTV0UwhtqIhDmcelfrQ3+o5VWk3Luk0xjvVv9IYg33tcLYVtiqGNX3EfWO26hZjUmtrHZG4b0dSa22e9KQrxaVwzCVkWaIez1/28vso7BT7H/HRaGpQ3sQ8uNWQbXYPs8Sz7FiAZqk9q4iaxjNQUaM3aB6vTMa8Vx4Ea97EhEsLcL78jxv/AR5tnXj1Jkht65k08ro7UF/ikTQRuTkawQjgXhwHGUOG5/yDPSgmMrg0lFzWZsc9KPEYMf4Rh0bOogm5mYNRnC+6d4IMxBXElkRFHHWAO2JU3YfLIGq5Mk3G28ke4rI4JG4ZiG/i2dxnhuN/q8liD2X4sPfYzfhWM1YKI/ka1LZwgfTjiAjhiK0RnFsK6QH0RLRtEniG4U3OxHOzEIk5UFuPuwb8b/ZRUEpjaoF6GqeQ7cB6qy6WDU0duFvrpuBY5rc9laHP+tTRC27jicO5x5rvCixjU1J1BjIVmPmXra0Obr/GiPAQ+GuV2YX0+Mnpf7ol5od7gPwzJJtDNHgghL4tjwb8B40TnYL80NtOFODvZAHanx2pfEeoeSOGaavajtjJp2KKPOoOeEQsfF8ggu7Kj1VoJYg6WIMGptFUuZUJ1JtThP+A1cx9YSPk9mZhBG3mCgZvE0+qgIMSl0xGtxbiQGBwX+IkT7ZGYJYj1J9Uu9B/uwllh3Oh04H3XF0S93RAi/Y+C8Q/WBrB/VDy4H+i2yLcQ6mFpXhwhtQ8TYiOXRkLJHal1O9YHfwHl0vBftkWpfRwLtxO1Ebam1v8wvlMKx7iS0jVo4ZiIpXBtN9ndDNS1i7l8XaYB4G8JBCEukcA1lryeIhTDlw70GvvNECf9mEWsji5igaj3oExqI8SLruDmMiziDmGeo9NR6ibInKl6I6JeNIdS2N4K+X9Y7RWjucOJ485hoZ2R9OtAnGN3oB11x4uUmzzC3fPgPGZN4F00Qa2MLw6i0GaMwH0OtYzIeeq1u1qP9uFwYNxEn9DEwXmoTrlFcEVw7uLBY4Sdel90hus3OJPWejx7JmSLipQvTsdA1guUhXgiFEFQdI23oP6K4RBXxRuKbBdWHhDsyu2kf9fH/+16hTeJ4VaIAf7uuXEcMAeiXjcIO9J+N3A70F1980Qbag4+8o3wQXEs4es455wwR+swzzxzy/xJiL1y40D5W/Utf+pLYd9997Z3kErTKXcqPPPKI/WcQvN52223iwgsvJDuvv79f7L///mL58uX2v5933nni1FNPFT6fTzz77LP2ce2hUMj+/5dfftkuq5Qnl+3l8rjhMr9C2d7999+frfYZZ5yR/XtueCntys2rmPSy3m+++WYWmEub6OlR7+W5wHzGjBk2LB/8s9tuuxVTDMcdRQVGBaBvr70SsOcaGBV/6zjpdGEgYHtl878PXwFehAxfw9HMgQG6Vp8ButKCAXp5RiQDdK0jA3SlBQN0bRMM0MvjZwQDdFtIBujanhigKy0YoG/bxzBAV/owQNd2wgBdacEAXdsEA3SlBQN0bRMM0LUWDNDL9C5TwWz423XlxN6RAboE4sWA26151yBA315v+P1+8V//9V82FN/WI2H+cccdJz7++GMyWjAYFA899JD44he/uL0i8/577k7vXB43nB3gsrCxxPZkvw3uMJf3ykci6kfUg/1rGIbYZ599srvLJTSXP4zgZ2wqUHGAvi2Z5LEVp5xyinj99dfFscceK84++2zxmc98RrS1qV0Jmzdvtv/tnnvuEU8++aR9tMHDDz8spk6dOjbV30FrzYuQsd2xDNB1/zFAV1owQC/PmGaArnVkgK60YICubYIBenn8DAN0pSMDdG1PDNCVFgzQt+1jGKArfRigazthgK60YICubYIButKCAbq2CQboWgsG6GV6l6lgNvztunJiM0DXWm8N0OWu8ccee0zI49XfeOMN+6hvuYtdHrPe0NAgZs+eLT772c/aO9kLBbDhcFjcfvvtYtGiRfbueHn0++TJk22w/t3vfpc5WhlMP3e3vezT2tpaccABB2R3l8sTBeSPHvjZMRSoGoDe29trA/FVq1aJe++9V3zjG9/YpsLy1zLyaIXp06fbDqaurm7H6JEdoBW8CBnbncgAXfcfA3SlBQP08oxpBuhaRwboSgsG6NomGKCXx88wQFc6MkDX9sQAXWnBAH3bPoYButKHAbq2EwboSgsG6NomGKArLRiga5tggK61YIBepneZCmbD364rJ/YQgH7pKBzhfsvIHeFeORW5pO0p8MADD9hRvvKVrwi5076QRx5p/+c//9mOevrppxeSxI4zCNBdLpc46aSTxMUXX2xvAh7uLvyCK8ARK6pA1QD0a6+9Vlx//fXiggsuEHfccUdBInz7298Wd911l7jyyivttPxUhwK8CKmOfii1FgzQtXIM0JUWDNBLHU1D0zFA13owQFdaMEDXNsEAvTx+hgG60pEBurYnBuhKCwbo2/YxDNCVPgzQtZ0wQFdaMEDXNsEAXWnBAF3bBAN0rQUD9DK9y1QwG/52XTmxGaBXTuuduaRBqP3ee++JWbNmFSTFJ598ImbOnGmDb7nrv9AnF5TLa6blI3ecy53nhxxyiFiwYIE48MADeRd6oYJWebyqAeh77723+OCDD8TTTz8tFi5cWJBszz77rH2MhRwUS5cuLSgNRxp5BXgRMvIaj2QJnznzVsjekaZLrFseKqgqsTYfxstgUMrrhMBIGxE2nkg7PUrWJRjEcLfLgrheMwlhphPjUYXELQOCA+44luHCybjWwHgyYbMHtZ3o6YY8W4x+CLOIt/r+tBfiPb5pbwhb9fpkCGtYlqebiT40wxhoedRiIvdxpDFeYDX2lfHJBkib7unFsESiIFsczUiu+noovufYPSAs40S9ZCTqY03NRrRb90vvoz5RenyUrIcDx6WdVwadhTFzVyhm80J1NUvuk3FhbdJE2IR/bMaIEaJ9HjfEi09tIpvcu4sHbTRDGDiR2ohhYLwO+zBFuMHIOCwjVY9+x1NPFCKE8Hqw/w1XHoe9VTV9hM8bV4P+JGiiti4H1rvRDBdsTpvj+GvgTdEApA8nsQ8jCQzrD6N/S4ZNyM/Zh77a7KVtOUMMw9a3sW/8a9VdV7mPc+U6tCfi+K7UuvUFa1ZoRKO1BaKu/eZMrA8xvTV+iPbkW4820TmvAfKLtKJgFmHzMmGylrJ7nB/dQfTrDQHUu8GHYX4D2+J1YRila18C7UnGSxyxEaK3P4Y+PJZA20vG0PbSKbQ9lxvH727fb4dyP/rPKaRJTJ+Dtldroo5Bk/YpW2dqEOugNg/ahOlAg+qkfiGUx5ApULcpin6iJ4ZG1RXCo/GchI/yEf5yah2uq2YFsJ+p/GRT0oSjsAT2a4qY4HqS2BaLyC9FTIQRC/1giPCXso6pNNaH+oEotW5t9uJa1CReCjYSfdUVw35p70E/b5r0h6rpjV1gLY0eHOs1xDqa6i/KxihtqbSRFOotKxdJ4VinfM8kP9qZ34njMp7B/LbEa0GHehN1oIZWkFqgyB8JWLjmoWw5Sdjt+giuZb3E+w1Vn80RbAv1DpWhJuA8vsNK02vmraO7nDjv+AjfOM6P/q3GwL76pI9eTyaJ8VpDlOMmfCulo5vQlpqjqPHfEUK9+3vyHCVKLB0zhLYuL47XdAIX665OtGVXFPuKetVO+en1t+XD8LQP5x6HRdgEZScuohwqXop6j0WDpN7T7FjEvO6IoV92EOW4+7Bssw/LzvetZuuYNZsKe0fIt+Y0opjeFcMw7yZ8JwhPQ//vTGAfGBFiPfj+GrpKLY0Q3jm/GcKovqG+TwjCJJwWBubT+/Xf/Uehy3WOVyUK8LfrynVErtbT/7PyO9BX/Zx3oFeit4888kghYfLvfve7go+J37Bhg30KtUz3zDPPDKuawwHosnzLKowByErKk7RffPFF8cILL9h/3nzzTfuofPkMAnV5D/q+++5rw3R5B7r809yM89SwGs2JK6JA1QD0QCAgIpGIfcf5fvvtV1Dj33rrLbH//vuLmpoaIe+M4Kc6FOBFSHX0Q6m1YICulWOArrRggF7qaBqajgG61oMButKCAbq2CQbo5fEzDNCVjgzQtT0xQFdaMEDXNsEAXWnBAF3bBAN0pQUDdG0TDNAHtGCAnjUKBuhKCgbo5XlnqYZc+Nt15XqBAXrltB7NkioJsKl2llL+Rx99JPbcc09hmqaIx+kNboVoGovFxGuvvZYF6vJOe3k8vD1vDOxQl3/fbbfdskBdgnV5NTU/1a9A1QD0xsZG+9cb8lcq8m7zQp77779fnHXWWaK+vl50deGv1AvJg+OUXwFehJRf00rmyABdq80AXWnBAL08I5AButaRAbrSggG6tgkG6OXxMwzQlY4M0LU9MUBXWjBA1zbBAF1pwQBd2wQDdKUFA3RtEwzQB7RggJ41CgboSgoG6OV5Z6mGXPjbdeV6gQF65bQezZJKAdiDR6gXuwOcamcp5T/22GP2neltbW1i40Y8iaxUPdPptHj77bezQF3uVt+yZUs2u0GoPm7cOBuoyz8XXnhhqcVxuhFWoGoAujy2/fnnnxd77LGHeOONN7Z7R4DcrS53n8tfikgje+6550ZYKs6+UAV4EVKoUtUZjwG67hcG6EoLBujlGasM0LWODNCVFgzQtU0wQC+Pn2GArnRkgK7tiQG60oIBurYJBuhKCwbo2iYYoCstGKBrm2CAPqAFA/SsUTBAV1IwQC/PO0s15MLfrivXCwzQK6f1aJZUCsBesmSJfcy5z+cT4XDh1wLKdv7rX/8a0twjjjgie4T89nZ2y93mEt7fcsstYtWqVeJzn/ucePLJJ0dUPskwZZ0Hj33/9NNPs+WV4wcEI1r5nTzzqgHoDz30kPjmN79pG/q8efPE3XffbQ8g6nn33XfFeeedZx/3LuM/+OCD4rTTTtvJu7J6ms+LkOrpi1JqwgBdq8YAXWnBAL2UkYRpGKBrTRigKy0YoGubYIBeHj/DAF3pyABd2xMDdKUFA3RtEwzQlRYM0LVNMEBXWjBA1zbBAH1ACwboWaNggK6kYIBenneWasiFv11XrhcYoFdO69EsqRSA/tOf/lT88Ic/FDNnzrQ3yRbzDJY3mCaTySg/nXNk+vbyk2lk/D/96U/2TvSRfuSx7i+99JIN0v/4xz/a8H6wDsXcwT7S9eT8hypQNQBdVutrX/ua+POf/5w19L333lvMnz9ftLa22mGbN2+2ofl7771nt0Ia2IknnigWLVrE/VpFCvAipIo6o4SqHPDNWyGVt8cic/JuUPd5DHmIiSpZ54Vo8UYTwqKNTgiLtWARkakpCGya1EPWcUJtH4SHku6ClIkS8ZJprKNTqEk69zmwTf+SbDC8yY16JdMusi7NJsatc0Wwb5xJCKtx4r0tL/XPhHgPL5kHYc3PozYNH2C5MmG8xYP9VY/t8bdjf/k+1kfXDGaS2dIJ+Vkh4heImXRB/TeqkRxoJ8Zuu6Bek+shLDwBx4aMRL2sNz6LdmZtJrS1cAw7vdh/zmAA6pPa3D4sKZ0eHP8bvr0f5JnG6og0IcXkp/ohrXPFOghztDZD2KaFhEMRQjgT2MQMdiGpA1VHi3AxiQZMHm/CfjFbYhCxIUCPwTpvFOJS4JCquOHEcdTmRX9Z60J/0pP0Q5ZRi7bbjngN2hThR91O1MJroO9IEWk7olgGBQMiCbqOlD4xIm68jzDSCOHzNmCYh7hpqGYzttn36GvDGm99Xz8Ifco4R0F5xpswmpuYWoOfou30TscBE2/GuVGWYDXjgGttRdtr8qP/r3ejzRuEc6wx0G5TGeyXfHMwJVi9ieOwL4X+rS/pg+SdURwzn34wHuJNnYXHxgXcVFtoBxVLGTiPEs6szYdrjAY3ti9ooj/yEQ4z4MJ4GxN16INjQdIW+xKoY5hYg0WIsIHvJEPyNVxoo9Ekjv+2WpxPJteg0Tea9G4Iyj+uiTUW5B+biTUhld8H/WgnlL9cF0K9ZUW6w2iPqRSOhdZ61CKTQd/hIuaOdZtxgkv34UToCqHdmiHaP8V2QT9R34R221KDYc1e7K9WD7bP58I1tJdYV3cmakm73UTYMzWOKN9hOtD/d6fQT4RTOO+0edBfUhWk3iVkvCThC7tTOI9uJNrXHkUteqJoYz43ahswC/NlccKPyXqnCF9G/diZWjv0xLCOpgv7gPKNoRTacl8cfZasI+WDqfo4HDg/FvrDbWpcUv2/JYR9FQ3T78DpBPE+GsUwh4XjlXo/MYixTq21LWJZlWykvzs4agmbCuKaIGWhn6G+oycSxHyZwrRWBOM54kQZhDayX8x+4p2Q+IRCLDHI9xMnLo2Fw0J7ouI5UxiPMEXbnAj3L4kEmJorjnlSaamyaz/uhvwcIexTESHC5HpyOs6PGQPt1tjci2ujJhwfrnUdEC89HhfHjo9Wk3PC3/vuLWi9zZGqRwH+dl25vhgC0P/jamHW4XewkapNsrdHrLr1ejv7tWvXikmTJo1UUTtdvmefffaQNt933302v/vyl79sX7e8rWdwB7jkfPL51re+ZW+mLeaRAH24j7SHyy+/XFxwwQXDzYpM39HRkd1xLqG53BQsj3cffHKhPwP0EemCsmRaVQBdGsoll1wi7rzzzqwxUb8aGfxlhrwb4NZbbxWGgYvasqjDmZSkAC9CSpKtahIxQNddwQBdacEAvYThyQA9KxoDdCUFA3Q9jigIzgBd6cMAXdsJA3SlBQN0bRMM0JUWDNC1TTBAz79GZYCutWGArrRggK5tggG60oIBurYJBuglfPMY40n423XlOpABeuW0rmRJw90BPgiPGxsb7Q2z2zt2feu2yaugBx+Z15FHHmkD/HvuuWebeck4Xq9XjB8/XkyePLmskskfaQwe0y7/u/Wu+sE2y0JramrEQQcdJA477LDsn7JWhjMrmwJVBdAHWyV3mP/6178WTz/9tFixYoW903zwkUc6HHXUUeL8888Xc+bMKZsQnFH5FOBFSPm0HI2cGKBr1RmgKy0YoJcwEhmgZ0VjgK6kYICuxxEDdKUF70DXNsE70JUWvANd2wTvQFda8A50bRO8A11pwTvQtU3wDvT87yi8A11rwzvQlRa8A13bhMU70Ev4wLHjJeFv15Xr01ytd/le5Xegr/wv3oE+Er09bdq0Icelyzu9JZyWYNo085/+lwuwDz74YPHtb39bTJgwYdhVLOUI+eEWuvW95mvWrBmSZS7TbGhoEIccckgWlssrrF0u+lTa4daL05dXgaoE6LlNlEc69PT02BBdGprHQ5zzVF5NOLdhKsCLkGEKOMrJGaDrDmCArrRggF7CoGSAnhWNAbqSggG6HkcM0JUWDNC1TTBAV1owQNc2wQBdacEAXdsEA3SlBQN0bRMM0PO/ozBA19owQFdaMEDXNsEAvYTvGztgEv52XblOZYBeOa1Hs6TRANi57ZUAXz4TJ04c8dOq5TXUL774otiyRV+hmQvLZT3GjRsnFixYYP+Ru8zlVdXF3M8+mn3JZQ9VoOoBOnfY2FOAFyFjr89ya8wAXavBAF1pwQC9hDHNAD0rGgN0JQUDdD2OGKArLRiga5tggK60YICubYIButKCAbq2CQboSgsG6NomGKDnf0dhgK61YYCutGCArm2CAXoJ3zd2wCT87bpynQoAPVjBO9D7egTvQK9MXx9xxBE2IJZ3oU+dOrUyhY5SKYM/FsiF5rLNucexy1O0+dkxFGCAvmP0Y1W1ghchVdUdRVdmwVdvgTT+1f10PoazoPwTDV6IF2nD41xiTQ6IF2vCImITkhC4y/TNZF0MZxrC45YBYYkUhjmIS8HqvVFI2+iJQNjuNVifOgPjJTP0cS1+ZwLyDDixbBdRxz9umg9p31uLx+F4PvBBvLY3UFtX3CK1/eTfULOZMzegtj/Hst1PLC7IdsZEJAKWW0fMRZsfhzafcaLNp/OcdOTtRlv2//1dKCeTwj6kdHTOwsVcx/4NELX50WUQZvX0DKtr1l9+MOZJHDCTqMc2ezrR70z8VwzyS9aifXbPxDCZ0MDkIoNdQ7Y55cdgKizRoK+jGUyRbsRx3tgUggyn13eRZTe5wxBeY8TR56Xpdm8dsdaFadMC9V4VRsccSeU/omvrcvwG2mjQRP82w69/zTuYx6poM7QvamHZCcLPT61BHfuSOD/JAl7bNAVtKoX+OtyJBlCzEuvj7sUubFiO/e95/WOI6GigPzC4H0DDfe+t6ZDe7MU+tNxYH+oeTAfh/qlpK9mGfepw03NHSxOuKfwmatHiQ/sOpbDiaWKwel0paCB1b7SbiDfe20ePNxPr7XVgORsTdZC+J4l20p3AMGocjfdjfZwC/YksdHMsAGW3R2rRrxPaBt1oT81u9Ecmsa4KunD8UuubkEWfJJZK49jqS+HYXBdGbTsjNegT4jgGrRSOg2AttjnowTBqPSgLbSTWhJQ9UgZV78Y14ce9LRC1N4JrtUgEdbQS9HrS0Yv+PxNEu3V5Mczqw/Fm9GA5vs3EhInTN3nXrjPPkiUyDlVLTME5atrEDog4NdANYeO96ISne3CO6bVwXK6P0z54XRTXTBOIcoIGjg+LmFs/CWH/G070oxN92Jb1URwbiTxzP2WjlO+JE+9G4QTaRJIYvw0+tG9qvOTzZdSYofw/Nf69JhpVwETbod4RE0RbKL0MB2HgQojeBPqtaBL9EfX+1uTHOY+ay/oSOP5jxBqsK0TMMd3oT6TWjnhh7/RUvzgsYvwTU5QjRbzz+FDHjElr2zQe58JaD/YrZVNpgWWH4qhjfxj7Lxkj1tBRwt8S7ZN6GWHU1ohgfUxinUgsjQU1/bsShOBUH1BhtNyCdB8F5knVx92PBflewTWvSOJcJCaNJ9dl6SD2V2gy2r0RJ96hV6M9ZZavhnKo92pHnuN2/xF7iKwnB1avAvztunJ9wwC9clpzSZVRQAL03XffPQvMDz/8cDFp0qTKFM6lVFwBBugVl3zHL5AXIWO7jxmg6/5jgK60YIC+nTHNAL1op8cAXUnGAF2bDgN0pQUDdG0TDNCVFgzQtU0wQFdaMEDXNsEAXWnBAF3bBAN0pQUDdG0TDNCVFuQPJRmgZw2FAXrRr/RjPgF/u65cFzJAr5zWXJJSoL+/Xzz99NPi3XffFR0dHSIajdrXQ+d75M75e+65p2D55NHtLS3449eCM+CIY0qBigP0s88+2z7O4cYbbxTjx9O/JCxVwQ0bNogrr7zSzr8Yoy+1PE5HK8CLkLFtGQzQdf8xQFdaMEDfzphmgF6002OAriRjgK5NhwG60oIBurYJBuhKCwbo2iYYoCstGKBrm2CArrRggK5tggG60oIBurYJBuhKCwbo2ib8vAO96Pf3HTEBf7uuXK8OAeiXXC3MSh/h/ovr7cauXbuWdwlXrttHpaR0Oi1uuOEG8fOf/1yEw3i6D1UpCdYlS7Qs+gS9UWkIF1pVClQcoA/eEfDee++JWbNmlVWM999/X+y9995s9GVVtfjMeBFSvGbVlIIBuu4NBuhKCwbo2xmhDNCLdmEM0JVkDNC16TBAV1owQNc2wQBdacEAXdsEA3SlBQN0bRMM0JUWDNC1TTBAV1owQNc2wQBdacEAXdsEA/SiX993yAT87bpy3coAvXJaV0NJiURCPPTQQ+Ivf/nLkB3g26qbBNipFHGNR5ENOv300+2yJRR3uVyiqalJtLe326xQHrHe3d0tQiF1TZkMa25uFn6/uv5j1apVRZbG0XcWBRig7yw9XcF28iKkgmKPQFEM0LWoDNCVFgzQtzPQGKAX7YkYoCvJGKBr02GArrRggK5tggG60oIBurYJBuhKCwbo2iYYoCstGKBrm2CArrRggK5tggG60oIBurYJBuhFv77vkAn423XlujVX612/W/kd6J/8knegV6q3ly9fLr7yla+Ijz76aJtHpm9dn3LsAP/HP/4hjj32WBuMn3HGGfYu9PXr14s5c+YM2Wwr63jnnXeK2267Tey666426N9jjz0KlmjNmjV23IkTJ9qQvpyP3AUv6yyfKVOmlDNrzmsYCowaQJdHuEtDK+cjDeyKK67gHejlFLWEvHgRUoJoVZTkyM/eBLXxbOgla5iu8UB42m1AWLwZ40VacZKJNjsgbXgqHqHSOLUH4jX4ImQdwwksm4oY8MQgeFINljPJi2HxNLa5L+WF/FIZbPOBwU/Iek82OyG8x6qBsFdDu0LYo0v2xT78FHWIN+KlZ3P3XQlpZ9a2k3V8ect0CKc+1kw84f0qsvDCq+KqrYXI1pwZaN9Nbgyrw77OoHmTlTGi9L08da+uRZtapxZWQx4C6Ltq1C8qc5/ur+yN7cOmiIZlxNh65d2ChXTuNxvirjgtiGU3JyDM5UYbdXuSEC+2DvsqE8Bfr7rXEw20fySCzXFidYSFw1oQw1rEm9BvOeqw3sE61LbRj2FBN1FBIYTXhdWZniMAACAASURBVG00nFi2U6BNUfFMB+rtc6EQ7fEACBZK0r7W7cL6+Ik8680o5JnMOCGsM459HUphv1JtpkBkm7uPtOV3eiZBeG8CDWDdxkaI512JWhjE6WGE3MJAGUT3PvQvsb3NGDkRx/nI9BB24sK+TqfRSSWT6MucTrSnQA3OoRNqaW1jFtZxnK8fdPQQ9v3pZwo7hm3FA/tBfgfOwF+U7+LvgHgmMYZkJIuwRxfRiVS8zXH0eWEL7baGGBvUWO1N+ki7jRBjoTuGcQOET2n0oO/xONF2gib2ddBFjV9inZemfXAP0Z6NEdTs43a8Zy4ZQ3vK9GI5rib0oy0NaHd9URy/4Q5cf8kOcPnRr7u9qJnfi340HCPWDiHCj4ZRR3cXhlG+Q9YxSVTdhV0oUrU4rs0+9An+zWh6vk7082kXpqXmy5SXXhz1Tcfw+HTsw2kTcAwf0oJr2Ymebqj4xkQ9rk/CaGMbw2iLMmEkSYxhYmxNC3RBOZEU9nV7FDurM4xhpoF6hwm79bjRPmVF6nxoAGlikZohwqw0zsu9EZwba73YVxMCOCdQ5VLrBlvvlAk6hok+iCUxHgXV69yoQ6HrqjpizSIr153A/lrVi+sEi9DWRdBN6qpOCgZ3dRHr4AThJzrQX8p6E9ObsLzoEzI+Yn1rEJdoF/jOQyxPBbX2l3WsrcV5ZlwAfXjCwnZ7DfTLnRHsq1gS9YlEcZyneghfncSxIetthDGc8sGUDzeIVzAzRLwnEno7iFNoKR9M+WpZb2q6pt6N3GGsjyuGNuHtwHnQeG1ZQe+ToS/sQ8bLUPMM0Q31r+L7cnT3Nsgz7cbEDgvb5+6lfes/X7yioPZwpOpRgL9dV64vGKBXTuvRLEkemS5htdzJLU+gPv744+17wn/zm9/YrE5euyx3gL/xxhvi1VdftcMOOuggcfTRR9vVvuaaa4ZV/VNPPVU8/PDDYq+99hJLliyx89rWadWPP/64+OpXvyomT54s3n77bVFXV1dQ+bJt8o8sY6RO15b5l2NHfkEN4kjbVWDUAPp2a1ZiBL63oEThypiMFyFlFHMUsmKArkVngK60YICubYIB+oAWDNCzRsEAXUnBAF37CQboSgsG6NomGKArLaIM0LNGwQBdScEAXfsJBuhKCwbo2iYYoGstGKArLRig54wPBuhaDP5bSQrwt+uSZCspEQP0kmQbc4nkju/LLrvM3pUtd4MfeeSReQH2O++8I77xjW+IDz/8UPziF78QF1100bDbO23aNPue+zvuuEOcf/75dn7bu+75nHPOEffee6+49tprxVVXXVVQHfh66oJk2qEijQpAH2kFy3Hsw0jXcUfOnxchY7t3GaDr/mOArrRggK5tggH6gBYM0LNGwQBdScEAXfsJBuhKCwbo2iYYoCstGKBrm2CArrRggK5tggG60oIBurYJBuhaCwboSgsG6DnjgwG6FoP/VpIC/O26JNlKSjQEoH9nFI5w/28+wr2kjisy0RFHHCFeeOEFIXeCy3vI5bMtgL1lyxaxzz77iI6ODvHKK6+IefPmFVni0OjyLvN4PC6efvppsXDhQvsfJaCXu8QlK4xEIsLjGXqKzN///ndx3HHHiX333Ve89dZbBZU/CNCXLl0q9txzz4LSFBppe8C/0Hw4XnkVqDhA//TTT8vbgjy5TZ06tSLlcCGoAC9CxrZVMEDX/ccAXWnBAF3bBAP0AS0YoGeNggG6koIBuvYTDNCVFgzQtU0wQFdaMEDXNsEAXWnBAF3bBAN0pQUDdG0TDNC1FgzQlRYM0HPGBwN0LQb/rSQF+Nt1SbKVlIgBekmyjblEra2torOzU/zxj38UX/va1+z65wJheSS5BNm5zy233CK+//3v23eWy53gw3kGAboE4RLMy0de9yyPaJflrl692v577iPj7r///qK+vl50deG1S1R9BgH6hAkThGni1UHDaUMymbTrzJuDh6Ni+dNWHKCXvwmcY7UpwIuQauuR4urDAF3rxQBdacEAXdsEA/QBLRigZ42CAbqSggG69hMM0JUWDNC1TTBAV1owQNc2wQBdacEAXdsEA3SlBQN0bRMM0LUWDNCVFgzQc8YHA3QtBv+tJAX423VJspWUKFfrGRdXfgf6il/xDvSSOq7IRG63W1iWZd9vPn/+fDv1ihUrxG677WYD4Z6eHhEIBIbkKneeH3LIIUIev75y5coiSxwaffr06WLNmjVDdqBLaF9bWyskmH7sscfEF77whSGJ/vKXv4gTTjhBeL1ee4d6IY8E6CP9MEAfaYWLy58BenF6cewCFOBFSAEiVXGUQ076OdQu8FE3WeOMywXhVsANYck6DOufYEC8nj0zEFazSy+Eec0khLkNi6yjw0HkaSYg7h7BzRCWzhQ2KdYYcUjbl/JC2O7+TRBmOuh6Jwkq15EcutCQmS36eC7qvaoWwjIot8g0Y72P3v1DSFtv0ouI5zbOhLjhZ1sgbMLPXq5ii89fNaOpCf6x+3PYZrHVLyhlIsp0MkN/aGnn7SS6v24Z2rwddw3aaMYiMhjfirYcGHpMkYzg6gxhvKAPwtoPrIew2g203das6oO4y8/A9MbkMMTz+3BcBr0xiOcziPFPCNmbwDG4dlMj3eFd6KMcFnZY2p3GseXFMJc3hb6sFsdbrRfD6r1RSBs0MZ6MFDBRH7cTy/YQYak0+u9oGn896xToQ7sTfrQdQRi4EMJwoD7jvLSNb50p5Qepsr0utAmqzYWGyXpELbSJpT3joN2r1uJ4MzdiWsrwLB9qm67DtgQaaR/cUIPhTV4Ma/PiuJzgwT6g9O5M1qAfJPp/bYgY50Tfy8yafFhHqg/rTBwLlN1O92+BOoaIOXjxvmjzwReJOSuPfU71daAWhD4R4p5vaq4PWYRfJsZboeNSVi5NjMNwCu0xkcZFQYMb+yVJ+Akn0a8tbpxPKHui+k/We3UYffNH7Ti2Ep3o190d2BaTcDEZYnNACqc8QZmtO4/LIrpQJOpxXFNrAlcUfaZBDHViqAonugmRxKWfba9UuLsHPZIZJtbL7fRcv3Vqsxfn75SfWHgS66V4PY5LmX/fFFyDh2djOfNm4Ol2e9Tiepsab2siaHcJC+vTEycMRQixpRdFT8aw3S3N/SA4VU4ojD4hbaEOVgTLcEax3hkT+1RWxGzEtUNzHY7hXeo6cU3XhT4zFMN6+73YV9T6pt6DdZmQxwdvigUJX4/+rSeG/RVPoWY+4n2y3kOswdyEXm5cx8rKtcfxXW19GOvdT2gWCmG9rTgxPoi+NnoxnoFNEcQUozQllnDJALFGGYfrUa8f+9ok3sutNNpyOo0Fe9y4jpVV9BoY7iPe6RMW9nWaeAmLJHBS8BD17o+ifcfW49in3htsaQk36oxju03CpKg5wUW9EhBDnfqBLzH1C2oes+uNy3dB1ccdwsKNCIbVvYtrtfS6DTgZzdoV11qzcFzZax5imqFsOUPMPUacEg2rY0RRCOLzkp3wxT9dSi33OayKFeBv15XrHAboldN6NEuSu7j7+/vFa6+9Zu/qlo88nl3uTJdAeMmSJWL27NlDqihh+8EHH1wUwM7XxuOPP1488cQT4r//+7/FhRdemI120EEHicWLF4uvfvWr4pFHHhmS/Nhjj7Xva999993FsmXLCpLvrLPOKijecCMNd0f+cMvn9FoBBuhsDWVXgBchZZe0ohkyQNdyM0BXWjBA1zbBAF1pwQBd20SGAbotBgXuZDgD9PxTOAN0rQ0DdKWFiwF61igYoCspGKBrP8EAXWnBAF3bRIj4gRADdKUPA/Tcd3oE1gzQB/wJ/j7A/gcG6IPjiAF6/jeZsf8v/O26cn04BKBfNAo70G/jHeiV6O25c+fakPzRRx8VEmYPPs3NzaK7u1vceeed4rzzzhtSldtvv11cfPHFIhgM2jvUh/Pceuut4tJLLxVf/vKX7ToMPoNlSIj/9a9/XZxyyin2bvMHHnjABu4y/LLLLhM33XTTcIrntDuwAgzQd+DOHa2m8SJktJQvT7kM0HNftnkHulSDAbq2CQboSgsG6NomGKArLRiga5vgHegDHx15B3rWKHgHupKCd6BrP8E70JUWvANd2wTvQFda8A50bRO8A11rwTvQlRa8Az3nWw3vQC/PB8CdOBf+dl25zmeAXjmtR7Okc889V/zud78TV1xxhbj+evWjBflIYL1o0SKx66672se7Nw2c9invJD/ssMPsO78XLFggnnvuuWFVf9WqVXYZHo/Hvu+8ra1NvYOmUuLAAw8U8r7zre9gz2QyYurUqfa/NTQ0DKt8TrzjKsAAfcft21FrGS9CRk36shTMAD3npYyPcLfFYICubYIButKCAbq2CQboSgsG6NomGKArLajTB2Q4H+Gu9OEj3PWY4SPcB8YMH+GeNQo+wn1gbuUj3LM2wUe4D0jBR7hnbYKPcB+Qgo9w1wsK4joCPsK9LJ8Jd8hM+Nt15bqVAXrltB7Nkh5++GFx6qmnijlz5oh33nknW5WXXnrJBuQSXstj3o888kh7B/iLL75oH/kuwx988EFx2mmnDbv6EpzLe9gnTJggfD59PY7cAf+d73xHyDrK+9DlI8s97rjj7J3xkyZNGnbZnMGOqwAD9B23b0etZbwIGTXpy1IwA3QtIx/hrrRggK5tggG60oIBurYJBugDH/n5DvSsUTBAV1IwQNd+gnegKy14B7q2Cd6BrrTgHejaJngHutKCd6Brm+Ad6FoL3oGutOAd6DnfangHuhaD/1aSAvztuiTZSko0BKBfOApHuN/OR7iX1HFFJpJQXAJpCbDvu+8+ezf44HPttddmd6UP7gKXu7/lc/bZZ4vf/va3RZZWWnQJ7D/++GN7V/qMGTNEY2NjaRlxqp1KAQboO1V3V6axvAipjM4jVcr8s26FrBveD5HFORMpCKd+4RubUAPx1h+Bbzxt+26GeM2+MIRtDAUhzG1gXWQkn6F+WZb7TKrBe1UmEJdMbojXQVqfC/Oj7ixtcqNmda4o5NdveUlttyQCEL4y1ARh7y+bUpApBCf0QbymGtT24OZVEC+eMcky3v8cLjRSWzoKqk8lIjk9tLaZFPah0++HKjkCtRDWe8hUCLPc+FN3p4VbAdIGxjOiGC/44kpSnvSkVgjvm4F1pDhmohavI2hciv3ftReO1RQhYwrlsuuWcWHVIzMTEOivx7FQ68V4AU8M0o7z90NYqwfD1kTQPpesn0Bqm4wSX2CIXV8uH/oZtwftyU+0pd6LbQ6641CfejduQaT8jkzY6sZ2x9I4XtMZtL0k0VkeJ7YvnMLLEXuS+pe8gw2IWbSfSKTRKOrdqAX1Qx3qR0whyw2aBQ20kwYTdWww0ObjhF6ygPXxeijnjQ70t5u6cD6yelCzjEncoWhgWE0d0ZYaYluqEKLOjXFrTRxHdSbq3ULYTi2hYzKNY2NdDI82Wx/B+bInjnYiRe16YRxoO+nGlyHswHfRHqd6cI5JZLCOkTTaCdXX1DiIEDYmK+d3obbUeOsjnCY1BlPEGIwS48hJ3IueIPpF1pG6S77Fg+uRuIWaUePacFoljzePE33jh6HxpA/+qBvnt02rcM3jX4P+xENclWdGcG4l3KAgXJ6g5lBnitjeZ0962Bzq8CJCCmF5iTVBBH0CJRjRLYKa52VaysVRaw8zjGV7utDmHRbGyziJLX8ODLM82H/xBoqACNGzK8YNT0d7nDSjHSTaq2EjhMWJMUPNW5/0NEPa9nb08zKSoxfnvUwt1tHpQV+WThILpgJ3FpvEaxm1/krW0nZr+bEP3a04T8wevwm0+LAdx2o8hjoEg8Q8T6yDpga6oQxnnus/qB/gBEycB9dHcP7eHMb3Ki/xjthA1JFalxX6I2vZuHVhYn6M4fzYuQXtzNmJ2nq6cWxRNkH5J9IByx83Eev66Di0k8C0Xly3+rGvGzwYFklhWwwnlhFL0T7B6UB7jhF5hhM4/yeI8eY2cazG4ljHWBjzc3ZjPLOXvvqNWlKkPdgWs5/oV1zmF3y3fRJf6USKCMt34B41z3i3oAV5erEtRhT71duJa4JoK2qbNlGH0HhijpFTMGEqlC07cSoTxCsBOf8TrxPCINYYUpnF9/9HviHG4VWqAH+7rlzHMECvnNbVXNIzzzxjg/L333/fBtgzZ84Up59+ujjxxBOrudpcN1ZAMEBnIyi7ArwIKbukFc2QAbqWmwG60oIBurYJBuhKCwbo2iYYoCstGKBrm2CArrRggK5tggG60oIBeo6fYICu1pgM0LVRMEC3tWCArk2CAXqOFgzQbTEM/G0C+WMuBug5tsMAvaLfE8dSYfztunK9lav1zH+v/A70j+/gHeiV620uiRXY8RRggL7j9emot4gXIaPeBcOqAAN0LR8DdKUFA3RtEwzQlRYM0LVNMEBXWjBA1zbBAF1pwQBd2wQDdKUFA/QcP8EAXa0xGaBro2CAbmvBAF2bBAP0HC0YoNtiMEDXNsE70If12Y8TyxNC1q0TkydPtrVYu3Yt34E8glbBAH0ExeWsWQFWYMQVYIA+4hLvfAXwImRs9zkDdN1/DNCVFgzQtU0wQFdaMEDXNsEAXWnBAF3bBAN0pQUDdG0TDNCVFgzQc/wEA3S1xmSAro2CAbqtBQN0bRIM0HO0YIBui8EA/f9n7zyg4yrOPT5773atuizZcm+4YTBgCC30PMCEFgKBkFBDC3kECCUJLYQECKG8w6OFPBIgAUILiWMghN57Na6AKy4qVtf2e/edmStp1v5/K6+k1Wplf/ccDjCa+p9vvpl7fzsz2iYYoA/v746FUHv+dp2/XmCAnj+tt4eSfv1r50QB+Vx99dU9/50e3h8d0vPqT3pOs+0qwAB92+3bIWsZL0KGTPqcFMwAXcvIAN3RggG6tgkG6I4WDNC1TTBAd7RggK5tggG6owUDdG0TDNAdLRigp/kJBujOGpMBujYKBuhKCwbo2iQYoKdpwQBdicEAXdsEA/ScfP7brjPhb9f56/7NAPp5Q3CE+918hHv+envwSzIMQ7hcLlWQZVk9BaaH96cW6Xn1Jz2n2XYVKGiAnkqlRFNTkwiHw6K2tlaYprnt9sQ21DJehAzvztzzB7dCA4pXUZdtCSFSKYgbL/VCWPM0D4RZB7RC2JTKRgirD4cwrW1AWJE3Rgo/pgjLKfZEs+okj0tPxN0JStyYdpS3BfIzhQ1hX8crICxio14yUl20GOK2xAMQ5jawnBG+DohX4e2EsIUttRC2+LPxEDb9rk2kXsmlX2SlYz4iuceNQbvb1zmOa8sn5ayzNnt8rdjXRR+uwYil2C9WiR/LMNBGbR/OYcmQG9IG3lhGSzZuFNrE7HIIc9k4LhNBbHTKIMKoaRZNTMSwWFWPzomoo7cS/UdZCMOCHrygblRRG7RvRmhjVia1MlIJ8eoj2H+q3gkchwkbxQgRfiZE1HuErx3KDrmxfQEDw2I22kTIpP1bIoV1pHwKVQ4lYoflg+CIhf67NYG+qIrwMTKztiSOj2QKx0eVF/0W5W9NFxpk2ML+G+VF31/hxjLqEqWkPb3dPAnCv27DuG0RbJ+VxPb5fEnIryyI46CWsHmD+GgsM/MamCcVl/L/o33NUJ8w0f/NxK9lKJvYEEFtKGgsCx0VwHFd68d5tNyN8xZl88UGzsvRFNqt35WANlPxbMI+ZUIK6tTHSyBP6kdnIRPr2JwIQlpyvBC+KGBiW2RmVF8HCT+zibgcdX2kDOrjJ8qp8aN/G0msg6iBtbAd52oZ79MGXI/E38I1U3Ajzm/edgxzR9FPmDEMcyUxrYtY26a6PtBs2Sbbi2Odaje17qDiUUOdNEestsjgJgS1JqDCjDihj0UUROhD5UetMRLFOC7DNRgmtWmdgmuU2HicM/9r5mKQssiNc+bXYVy4RC2cbxeuGo3z90KcG2UkYjoSVH9FcTkiDGoIE+bkDqOlEK5RUDYWraaXS4kKnDtcQQwrKcPCW5uLINNgMfq3kgD2QbEP41UHcF6uJtZQslBqTqHWR192YsPXtKN/q/Bj+6g13dggNV/SdtscR7++vHkEaNbajuuoZCOuJ/x1uM7zoAsWvjZqrGL/J4n3ARmLstHYFOyvUAmGjStDfbwmvg+EiHFJzWXUGkPWcXUHjuGEhfp0RHG8UrbjJurY2oT2Ldqxrz1tOFg9uGRRHUBM4cLC7id9ArX8J30C8amG6lObMNtkkLAdueaJoQ/2NRH+iPis4gkT76JFmB+x7BTEa5CI4/BVFYlXod8SPuLF1cayjRb0/74mjOfFJSvp+2V9Pvnfi2iny6EFqwB/u85f1zBAz5/W+Shp0iTnW4mE2F999VVPkd3h/anDlnn1locE5d2PbWu/nx7enzqk59Wf9Jxm21Wg4AC6/LXHgw8+KP785z+L999/X8TjcTUgP/vsMzFz5syenliwYIF47bXXRGlpqbjiiiu23R4ahi3jRcgw7LS0KjNA12IwQHe0YICeNkAYoCsxGKBrm2CA7mjBAF3bBAN0RwsG6Gl+ggG6EoMBeu/vCAzQtT4M0B0tGKBrm2CA7mjBAF3bBAP0Lj/BAF0bBQP04f0xMs+152/X+RMcAHpxhl/GDEKVEu0t4gvegZ5TZbtBteR1W+4A729BW+bV33w4HSswGAoUFECvr68XxxxzjHj33XeF3H3e/chBtHDhws0A+qJFi8Ts2bMVXP/www/FnDlzBkMfzrMfCvAipB+iFVASBui6MxigO1owQE8boAzQlRgM0LVNMEB3tGCArm2CAbqjBQP0ND/BAF2JwQC99wU/A3StDwN0RwsG6NomGKA7WjBA1zbBAL3LTzBA10bBAL2AviwWflX423X++ogBev60zkdJp59+ek8xcgNs95Me3p96pOfVn/SchhUYLAUKBqDLYxL23ntv8d577wn5S5bvfve7Yr/99hM/+clPFCTfEqBLQfbZZx/xzjvviCuvvFJce+21g6VRxnwvu+wy8fvf/77n7y+//LI44IADtloP2cb7779fyPjr1q0Tsu01NTVi+vTp4uCDDxY//OEPxYgReNTXVjMWQpX/6quvZhN1sx8pZJUgy0i8CMlSqAKNxgBddwwDdEcLBuhpg5UBuhKDAbq2CQbojhYM0LVNMEB3tGCAnuYnGKArMRig9774Z4Cu9WGA7mjBAF3bBAN0RwsG6NomGKB3+QkG6NooGKAX6FfGwqwWf7vOX7+ka73DuVcLT553oC+/h+9Az19vc0mswLanQMEAdAmUzzjjDOHxeMT8+fPFoYceqtSWMD0TQL/xxhvFL3/5S3HggQeKF198Ma+98+mnn4q5c+eKZFLfu7M1gB6LxdQPAu67775e4fVTTz2lduL352GA3h/VOE26AgzQtRoM0B0tGKCnjRAG6EoMBujaJhigO1owQNc2wQDd0YIBepqfYICuxGCA3vs7BwN0rQ8DdEcLBujaJhigO1owQNc2wQC9y08wQNdGwQCdP272QQEG6H0Qa4BRGaAPUEBOzgqwAkOqQMEAdAnMX3jhBXH++eeL22+/vUeU3gD6c889Jw4//HBRW1srpDPO1yN3jO+5557qjvbq6mohj56XT28AXd7lLqH4s88+q+J+85vfFKeccoqYMWOGcLvdYvXq1UJC+ccff1zcdNNNAwboEu5v7eiLHXfccVAk40XIoMiat0z3Pe5mKCtluMjyY6UY3jEawyJj9Q9NujMaNbYJ8nQRXw4t24B4HtOCsKpAJ1nHkCcG4W6XDWHjAlifRMqEeLsVrYSwqO2BsCYrBGEftE6AsFH+VrLeQTMO4Qkb6+MzUNsKdwekXRYeBWEvPToXwmp//1bebC2XBXUevydkZ7vpEojuF6XPL4PIVlNzLquYoTJo3yKF9ikTG14v5GFMGg9h8Wq0vdYpfmyflx7XW0YkhkFGgB4ZhWPTLEdbDoXwS0+xH8fqxGIclzX+dtRBoGbU+E0SY0hmtj5aijpaON4of1LqwbaM8OIYrCK+eLYmg1BuMxFG/ZhH2QThM5viRZBnmScMYR2WD8IiFvqyeKaBtEVqQ+ird9L/VOTGfk0SRkWldxtoT6N9LVDvcjf6f78rgb46he1bFa0ix+a6KN7L1pFAzagP+nHCziJJLNtnov8eU4TtK3FHyToGTGyjSYyFR17aF9Kf9V8vQFjQwLFKFbyO+AXN2kg5RF306Ayy3nv/4CMIr/RgH47yohZhG/sgbKNvpMZMiIDYlF6tFo5LWWHKp2Q7SVDzN1Vvyp6oeT5TXSgfFyHWKO0JnBP8hD0lUzhHxS2cXBsi6HcaOnAuikawr6SGvoUB9FtfoF/3RDDMDKOfcFkYz2Wjj6LWA7Yb50bLj/OBrLAZxbKFC9PbHmKup4yHmJbJNXjaVWdbs0Ejge02ksQ6g8gzGcS+dkewzbYX2+dKYrlUvGgFvVhr3gHzjE5CH3XIrCU4j8ZxDK/vKIF4G1ag/y9din1dtIFel1HTXmQE1js8EnuJcreEKxOeNkzrJmBZipAxXENbh1VEjI8anGesGGH3NhppSSX675IA5lfsxfXAyAA2MES8A8mWjPDi+o/yhSvC2K/rO7H/3QbqUELUsdKL7TMo5yGEWNuJc+HaVlxPtG1Cn+ldj/7R35Bd/1Pj3PITvijDu1EC3bXonIhrlMpafG8NeHAtEvTgWC3zok14iXVQWxznJ6lCmFhHdcZxTdAZQx2LfFgfar6tr8P3AfdGzC9A9AvxSu50HuE+KBP3dtDr6C0twIxRcxmGJYn+jxejf8r0o2iLmK6pNpqEP4rjMBAuNCchiDmP8oPxEVRiITxl6FOCAQwLR9BOknW47vC0oT7E0lGkMrxCL732oq1Nyfz3AlOAv13nr0MYoOdPay6JFWAFcq9AwQB0eYR5Y2OjkFD8kEMO6WlpbwD9448/Frvttpvw+XwiEiFWbrnXS+X4P//zP+Kiiy5SR64fe+yxk5CxuwAAIABJREFU4oYbblDhvQH0q6++Wlx33XUq3s033yx+9rOfZaxdIpFQO/H783TvQN9///3FK6+80p8sBpyGFyEDlnBIM2CAruVngD6kptinwhmga7kYoDtaMEDXNsEA3dEiygC9xygYoDtSMEDXfoIBuqMFA3RtEwzQHS0YoKctyRmgKzEYoGubYIDuaMEAPe1dlAF6n75jcOShU4C/XedP+80A+jlDcIT7H/gI9/z19uCXNGnSpJwXIk+//uqrr3KeL2e4bShQMABdQnB5HLqE4jvttFOPur0BdHmXuNwJHggERGcnvfs01920du1aMXPmTNHR0aGAuYTU3fevZwLoK1asULBdgvHTTjttqzvDB1JnBugDUY/TSgUYoGs7YIA+fMYEA/S0jxa8A12JwQBd2wQDdEcLBujaJhigO1owQNc2wQDd0YIBurYJBuiOFgzQ094HGKArMRiga5tggO5owQA97V2UAfrw+YiyndeUAXr+DIABev60zkdJr7322qAUs99++2WVr2SF2TwSissntcVJW1S4DLMs4nSxbAriONu8AgUD0EeOHCkaGhrUMe7yTvPupzeA/pe//EWceuqpYty4cWLVqlV56awjjzxSLFiwQJUr723/1a9+tVWA/vOf/1z87ne/U3e5y1+zTJw4cdDqygB90KTdbjJmgK67mgH68DF7BuhpHy0YoCsxGKBrm2CA7mjBAF3bBAN0RwsG6NomGKA7WjBA1zbBAN3RggF62vsAA3QlBgN0bRMM0B0tGKCnvYsyQB8+H1G285oyQM+fAaRrPe3s/O9AX3Yv70DPZW93s7pc5imZmdxYm81z+umn9xrtk08+Udcky6esrEzssssuQp58LUG6vIZZ/r25uVlxup133ln9I5+tXYWcTd04zrapQMEA9IMOOki8+uqrCkhfddVVPWr3BtDl/ef/+c9/1H3hTz755KD30GOPPSa+973viYqKCrF06VIxYsSIrAD65MmThdyFvvvuuwu5a159nLFtsX79erUrXf54QO6iz8XDAD0XKm7feTBA1/3PAH34jAUG6GkfLRigKzEYoGubYIDuaMEAXdsEA3RHCwbo2iYYoDtaMEDXNsEA3dGCAXra+wADdCUGA3RtEwzQHS0YoKe9izJAHz4fUbbzmjJAz58BMEDPn9b5KCnbHeB9qUuudoBLCH7uuecqYH7LLbeoq5fdbvdmVZE7zf/+97+LSy+9VGzcuFHcdddd4owzzuhLdTnudqZAwQB0ea/4xRdfrAx80aJFClKrhahhqF+ELFy4UB2d3v3IAXHmmWeqvz3wwAPiBz/4waB2XUtLi5gxY4YaWH/84x/Fj370I1Xe1nagy1311dXVKu4FF1yg7kGX96E/+OCD6tcu8pEDee+99xaXXXaZOOKIIwbUjm6ALnUcO3asAv0S0ldVVan74o877jhx0kkn9fuO9Wwqx4uQbFQq3DgM0HXfMEAvXDvdsmYM0NM+WjBAV2IwQNc2wQDd0YIBurYJBuiOFgzQtU0wQHe0YICubYIBuqMFA/S0VTcDdCUGA3RtEwzQHS0YoKe9izJAHz4fUbbzmvK36/wZAAP0/Gmdj5LkBthMTzweF1deeaV4//331cbTE044Qeyxxx6b7QCXf5ObVOVucPm33/zmN4pT7b///gOq/gcffKD4mixXllFbW9trfhs2bFCsbNOmTeLNN98Uc+fOHVD5nHjbVaBgAHokEhFTp04V0njnzJmjAPOsWbMAoMs7yG+66SZx9913q6MXZJrFixereIP5nH322Qqcy4H4xhtvKHAvn60BdOlUJNSWz+WXXy6eeOIJdYx7pueiiy4St956a7+b0g3Qe8tA/hBB1kP+IKA/j5z4entkH0oHKB/ZX2PGjOlPMZxmiBSY+yO0v3iJY+9bPtFKDIuNSkBgeU07hJmGDWGWjePYa+IdJDVFmF/cNsk6+k08AuagqqUQ1+PCctbEsIG7BFdD2mXRURD25qZJEFbt74Cw0YEWst7FZhTC10bxbbQ5XgTx2hI+CGu8fzyEld3/9hBZWfbFGl4vRDbGoU9J1TWgPbWjnWRf8jCO6cJx1PldxyenP9FyjGd7sN0WERYnPozIlPEyHNepYhyDhhfH2/iRm6DwaaX1GBasg7BVhDPyEV+y6mIlZMeGk2hnVMSR/jYcR54whJW6Maw5gWO1IV4MaRMp7JeAiX5VJjRFCtJ3WNgW04XxOok2l3ux3pRvpLRtSQRJbSu8nRC+IVqK9kgY2pQi7P9RXvSZFW4sI2yjDnUJLHddrIysN6VtiTsCcSktOiz0wV90OD+mTH9aYn4IcxNzY8MT48g6HnLWOxA+yY+aUYntFM7rBmEnlI53vvBfkOXx+2FdKG1kQmp+CxoxtIkUOp8Y4aTChM1T9aZsOWRiuaYL/ZisXHMSx3CYsNtyYvxnaycxe/Nfx8tyI0T7OokwGTdK1CfkxjZS8McmfE8RkXZTLAR9tbBuJPbfKvS3xSvo9WRRHWrujmCYK4m+zCDCXFvcc6cqR3cr1DtlYh3J/IQQLgvrY3nRh5tRnPNSJvHumuXrLFUuMR04zfZgptnq47IJvRNEv1gYZixeCdrGvjEN57wQvX5vnYThbTNxLnQZWEeRwDb7NuLYCq1B7+gJU7ZIlKG0RVuJVGHZSXT1QtBDASpEvJ4IwsUIym0lcKiq/GPOPoXNnkQI22j7UQtvNc6D1NwR9MehjFEhXENVB3CtXubBMshJUAjRTogbMNBONkbRHzXF8ATACh+WHXRjW5KEv5R1rI+g6F+tH4Fz/Uos24fLYEEsMcm+ptbvxDQvTGyKqhuxHBWdY9AmXKPw/TQUQs3KAxhmE0ZfTuid6Z0+ksA1QTSJYQnie8KEUmfjSvqzphXXfw1rcHAE16Av8mF2gjA7VZxBzBNUPxhxwt8SaY0EMVYJX5QMZOeL4sW0M4rjklkQy1th+Yn6eAnbod0ozsEejFg2ppV0AZVBXP+XeHHNs6EDx//GemygqxXtyZVEfVIm3ZiV//2zTK6KwwtUAQbo+euYzQD6WUNwhPsf+Qj3fPS25HRyY+hzzz2ndnTLzbJFRfgOLesSDofFhRdeKP7v//5PHHbYYeKZZ54ZcBVPPvlk8be//U3cfvvt4vzzz88qvzvuuENteD3xxBPFww8/nFUajrT9KVAwAF1KL38dIo9yl4NIPtOmTVM7qCWs3meffdQd6cuXL1d/k4OyuLhY/UJkxx13HNSek8B8v/32E6Zpio8++kjMnj27p7ytAfSnnnpKfOc731HxfT6fiMViCsLfcMMN6kj3aDQqnn32WXHJJZeoHw/IR/44QB430Z9H6id/TDBv3jx1h0NlZaVob29X9f7DH/4glixZorKVO9TlcfLy/vi+Pt0/HsgmHQP0bFQqrDgM0HV/MEAfettkgN6PPmCA7sy5DNB7jIcBuiMFA3TtTxigO1owQE+3CfzYzgDd0YcBurYTgwF6jxgM0B0pGKDr8cEA3dGCAXqaz2SA3jWPZvdOm2KAnp1QHCsnCjBAz4mMWWXCAD0rmYZ9JAnD5QbUb33rWwqiZ/Mceuih4oUXXlAsTKYdyCMZ17p168S7776b9W5yuWtdbgKVmz/XrCF+XTuQCnHabUaBggLoUlV5VLs8jl3+u/vpBrYSmnc/cvf0o48+OujwXB49IXfES/As70aQu9/Tn60B9L/+9a/ihz/8YU8SeTSEBPJ+/+Y/Rf/iiy/ELrvsIjo7O9VRE6tXr+7XvejyqPmyMno3lTzK/ayzzlJH3stH3gMh73zo68MAva+KDa/4DNB1fzFAH3rbZYDejz5ggK5EY4CubYcBuqMFA3RtEwzQHS0YoKfbBAN0qQbvQNc2wTvQHS3cEd6B3m0VvAPdUYJ3oGs/wTvQHS14B3raeoJ3oPfjBZ6TDIUCDNDzp/pmAP1HQ7AD/f94B3o+envfffcVb7/9tmJNRx99dFZFzp8/XxxzzDFir732UptkB/IEAgEhOd5rr72mNuJm88gyv/nNb6pNr/J0bH5YAUqBggPo3ZV8+umnxT//+U8hfwki70SwLEvtppaQ+aijjlJ3eQ/2se2yLt2AXP6KRR4Vv+XRE1sD6PKo9OOPP75H+3//+99C/rqGeiSgv/nmm9WfpAM58sgjc261yWRS7aCXO/vlIyex0aNH96kcPsK9T3INu8gM0HWXMUAfevNlgN6PPmCArkRjgK5thwG6owUDdG0TDNAdLRigp9sEA3SpBgN0bRMM0B0tGKBrm2CA7mjBAF3bBAN0RwsG6GnrCQbo/XiB5yRDoQAD9PypzgA9f1oPZUlVVVWiublZsTzJ77J5Pv74Y3UPeXl5ubqLfCBP9w70X/ziF+pe9WyeK664Qp0SLdmYPEWZH1aAUqBgAXohdJeEzPIYdPnrFQnzJbjf8tkaQJdHVsi7HOTj9XrVcery39Qjj6yQx1zI56qrrhK//rXzC6lcPxLSS1gvn4ceekh8//vfz2kRvAjJqZx5z4wBupacAXrezQ8KZIDejz5ggK5EY4CubYcBuqMFA3RtEwzQHS0YoKfbBAN0qQYDdG0TDNAdLRiga5tggO5owQBd2wQDdEcLBuhp6wkG6P14geckQ6EAf7vOn+rpWk8fgh3oS3kHel46OxQKqV3c8jpjiqFRlejegR4MBkVHR8eA6nnqqaeKv/zlL+rU5+eff36ru9Dfeustccghh6jrluXp0ffff/+AyufE264CDNB76dtzzjlH3HvvvWLSpEnit7/9LRlT7jB/8skn1d8k9J45c6b6b7l7XO5Wl7vWZ82apcLGjh3b630Ky5YtE9OnT1dxZdn33HPPoFjeM888I4444giVtzySvhum56owXoTkSsmhyWeni2+DgpOb3zjQ8/dkCOsYr41DYNkInARNw4Z4qZQLwlwuPDaxyItljAh0koKNCTRDeLW3HcISKRPCwhb+2GWcD38R93yjM+7Tn7a4D8Iq/HgcTK2/lax3GyH6pw21WO/XKyBszP98AGF2HDUbFAsj4K1IYV8PStmcqVLA5faAEk0/nIvjzcTxlgygiClkKiKGZqcSJkI4Xq1iK6ueqR6NY3VcaQuk3bnkawjblCiCMA/hYxpihNMSQlAwkap0sScKwRSobyfGb8JGH2O4cGwkyXj08bFUHQMmjnWqPnHLDcmpe0ypNgeIr4TUXcmyAD8Rd30Ur5ppTaDxjQ+iv53gb4R6FxkxtHligqpLlKCvzjDBlbixr0d50R6LDYz3VbQaylneUQNhXjOJfSCwrwNmghxDZZ4whFNzVLuNk7jfhWXXeHA+8hDxEim0nYZkMc5PxLwqI8Vs9FHUWLAJ5+NxoT+h5u/mJPqEjiTO6dT4LSd0lfWuj2MbIxa2ZXygCbRoTgRxXiba10GsO1rimNZr0H61NoA2GjTQJ3RYuEb5oHEc1HFjE46ZZAe22b8OwwL1aLaBJno9QAFKCt66kjg+XMT9ssTSURBDixxXRpJYn7pwvpSJbS9OkJYP4xoJrLcZz64cEujbmJ9B5KcamHYFWneDbS/OR1Q5ZhTtjOoXzxr0y8nVuIMj8V+4FrH8xCJDAsoghneMwrAIulZ5aT3O1ZuwXwINGM/fjP1iRjOsY4l1VLwY6xgvItpImBS13vJ2ELZD1McgxgbVp8oHlxI6VmGF2qfh3OMvxzkv4MN41Luah/BbxV6cv6v89MfTWh/OUW3EwtVHzK1LWtFQmqLoW8eEsIygG31ofZReT7ZEcS2zYWUV2GPgaxyDPlwGC3eUWFcTPoZayhg4zWf0g8S0LOLErYDRUZipvwLfb90mjpnOVlyLmD70MYaR4coEC+2WcG+iqhztp9iHdrumEV9mknXYf8F1WK63DacPSkPlgonh7yFM3NtBzAkGjkvicwlpJ0k/prVx+SYsLz2/WcQ7YYL69oPLBJEciWPGF8KxTn0P8nrQJqZVNJDztZcw8iixLlvfiZVs6sDxH48TAhGCU3YnK7jipF+S9eTAwlWAv13nr28YoOdP66EsSV6BLK9klicvS/aUzTNv3jwhT2uWpyV/+umn2STJGEdevyx3vssrjD0ejzj33HPFaaedJnbaaaeeU6zl9dCyHHm9sbx3XW6alce3y53w3UxuQJXgxNukAgzQe+lWOci67wvva++vXLlSTJgwQQ1aCdLlv2tra8W6desyZpUO288//3xxxx139LXYrOLL4/G//e1vq7gM0LOSbLuKxABddzcD9H6YPgP0foiW2yQM0B09GaBru2KA7mjBAF3bBAN0RwsG6NomGKA7WjBA1zbBAN3RggF62tzBAF2JwQA9zSYYoCsxGKBrm2CAntt3e85t8BRggD542m6ZMwP0/Gk9lCXJzadyc6nL5VIbQ2+99Va1G5x65K7vn/3sZ+Kuu+5S8eWR6/Lo9YE+f/vb38Qpp5wi5BXGMl/5yJOgKyoq1P/LY+IlNJePhOlut1s8+OCD4sQTTxxo0Zx+G1aAAXovnZsLgC6z33///cVrr70mTNMUra2tcI96dxX+9a9/9Rxxcf311+fEcVDN+/3vfy8uu+wy9ae//vWv4uSTT86pifMiJKdy5j0zBuhacgbo/TA/Buj9EC23SRigO3oyQNd2xQDd0YIBurYJBuiOFgzQtU0wQHe0YICubYIBuqMFA/S0uYMBuhKDAXqaTTBAV2IwQNc2wQA9t+/2nNvgKcDfrgdP2y1z3gygn3m18BQTx5wMUnUS7S1i6X3OFbnyjusxY8YMUkmcbTQaVTvA5QnLElbX1NSIE044Qey+++6iurpahdXV1Yn3339fPP7442Ljxo0KYsud33IHuNwJnovn3XffFXJj6kcffdRrdrvuuqsC+HvssUcuiuU8tmEF8g7QJUTO9SMHoPxlyVA8W7sDXdbp9ttvFz/96U9V9Xq7c/z000/vuW/h9ddfF/vuu2/OmyR1ksdiyPvd5bNmzRp1tHwuH16E5FLN/OfFAF1rzgC9H/bHAL0fouU2CQN0R08G6NquGKA7WjBA1zbBAN3RggG6tgkG6I4WDNC1TTBAd7RggJ42dzBAV2IwQE+zCQboSgwG6NomGKDn9t2ecxs8Bfjb9eBpu2XODNDzp/VQl7RhwwZ1bfAnn3yiqtK9C3zLeklwLh8J3BcsWCBGjRqV86pLUP/CCy+oY+Wbm5sVrJc70SUXk3efS7DPDyuQjQJ5B+iGQd9zlk1lM8WRg9GysrtjdSDlUGmzAegdHR1i8uTJor6+XowfP17IX8LIX+GkP6+88ooavLIdO+64o/jss8/AyaTviH/55ZfFAQccsFkeMkw6nrIy+pdc8hj5s846q+dYenlP+/z583MtieBFSM4lzWuGDNC13AzQ+2F6DND7IVpukzBAd/RkgK7tigG6owUDdG0TDNAdLRiga5tggO5owQBd2wQDdEcLBuhpcwcDdCUGA/Q0m2CArsRggK5tggF6bt/tObfBU4C/XQ+etlvmvBlAP+Nq4c3jDvS43IH+J96Bnr/eFoptyZ3d99xzj5D3klPPjBkzxHnnnaf+GYzNtvlsL5e17SuQd4B+7bXX9qqqvJ/7gw8+UHFmzZqljlGQsFn+SkQCaPnrkc8//1zB5blz54p58+apuNdcc82Q9FY2AF1W7NFHHxUnnXSSaofc8f3zn/9ctU0eb/Hss8+K2267TUQiEXX3goTp++yzD7RnawBd/v3JJ59Ux8BLuD5t2jRRUlIiJMD/8MMPxR/+8IcexyWPznjnnXfExIkTc64bL0JyLmleM5x5xW1Qnu2mq2ATp6vEq/A0CKM4ARm4vfijF78X43ncGK8iEIb8ppY0kJUMmphntacN4lrCuRsl/TGF84u49IeK90nrOIgXt/G0DT9Rl43hYrLeq+sqIXyH6zuxPouW59U+NtMnFML6dHQMWX24YEcBY5eZIEXd3vjDKsuDioU22BAYaMQxtH5v+mil6ETnLqHN7MSPY3hkZSvEW1+HdfQGsey5o9diHYmxZRDjt8gdI80kSYzXRAp/8BcjnCGVliokQNSRKmOEF8cQBflkGW1JvE+q0oN+ojkZhCpR9ab8W8hEzUrdEcjPZ2BfyUgx4oviykgVpI9ZONFQ/TUlWA9pi40ohLXbqA1Vl+ZkEWkTE3w4p1S4UdsmIn1jEv36v2/YD8opf3cjhFU91JyVfctIlD5BA8dglQdtqsKNYRZh83XJkqxc6+oIzlnJFH3qVI2XmoNxvHlc6DuKTezr1mQA6mi4cP62UzjPh20v9osb1xgy0tfRcqIc9Jkjfdi+DgvtsSGGc2hbAuN5DdShNtBC9kt5hrpvGXlZ5+Y/5JV/f3PxVMjTuwEnCj+x3KKK9YSxDwwLw2ShZoyIm8gujBLCZWNaV5II69r5sDUjd2WotyDSJ4Poy1Im2l7GPLecQ+NoY8kiLMOIYTyZlX8t2oodQjtLlOC8Tv2YgNLKvXAlBNvt7Tjv7DcHwixfhh/Xo2SCmNaF5Sfm6jLCn3Rg/3s6iR/gEyZqJmhtKS2SAfR7thsbY/kImyCKcUcx0IxgGGVPtocSUYhECOvYMgXDoiOI96ARONdXVGFfl/jQV5f7ce2QtLGvvCa9MaLGj76Ves/rSKJfX9ZaDd21rhnXnYkI8dJLyJiK0/Ob0UqsZb7GDLy4DBbEq6gglnkigVOHoKZbYjlAxpPCWDiN0uONWP67CLs1iMMhLSKt7SUGHD1NCNtPFESEVdQQawybmP8jWKFkHQrhayT8CRYhUhm+l1B+y8SlmiCW1mQfGMRcRvkiy49tNuIoLjU/yfzihJ0liM8WkbHY2VWjcd6hvt+UePEdg/peMtpPr3motV5dDCu5MYJr2ZYo9nXSwr62iYHZ1kENGCG+OP7KrS0n+O8FpgB/u85fhzBAz5/WhVaS3JFO7QAfjB3nhdZ2rs+2o0DeAXpv0l133XUKhO+8887i3nvvzXiUggTsZ599tvj000+FBNhXXXXVkPVItgBdVvDOO+8UF198sYjHiRWzECIUCqk7yY8++miyPdkA9AceeGCrWsijKv72t7+JmTMRsmw1cRYReBGShUgFHIUBuu4cBui9G6rJAL0gRzIDdKdbGKBr82SA7mjBAF3bBAN0RwsG6NomGKBnntIZoPe+3GGArvVhgO5owQBd20QRA3QlBgP0tG8MDNAdP8EAvSC/JWxPleJv1/nrbQbo+dOaS2IFWIHcK1AwAP3FF18U3/rWt8QOO+ygdksXFdE7grol6OzsFLvuuqv48ssvxXPPPaeOPx+Kpy8AXdZv0aJFCqQ///zzYt26deqYikmTJonDDjtMXHjhhb3e+bA1gC6PxZBavP3222Lx4sWioaFBNDU1CZ/Pp3bxyx373/3ud8Wxxx47qMdj8CJkKCwxd2UyQE97ueUd6L0aFgP03I27XObEAN1RkwG6tioG6I4WDNC1TTBAd7RggK5tggF65pmYAXrvqxQG6FofBuiOFgzQtU0wQHe0YICe9o2BAbrjJxig5/ITAOfVDwX423U/ROtnks0A+ulDcIT7n/kI93523bBPtmrVKtHY2KhOfe6+dz1To/bbD08NHPYCcANyokDBAHS563rBggXivvvuExIUZ/P8+c9/FmeeeaaQd3n/85//zCYJx8mDArwIyYPIg1gEA/S0l1sG6L1aGgP0QRyIA8iaAbojHgN0bUQM0B0tGKBrm2CA7mjBAF3bBAP0zBMvA/TeFyUM0LU+DNAdLRiga5tggO5owQA97RsDA3THTzBAH8AbPyfNhQL87ToXKmaXBwP07HTiWLlRYNmyZeL6668X8+fPF21txL0rRDHyquhkkriDJjdV4lyGuQIFA9BHjx4tNm7cqO44lzvLs3k++ugjtat65MiRYv369dkk4Th5UIAXIXkQeRCLYICe9nLLAL1XS2OAPogDcQBZM0B3xGOAro2IAbqjBQN0bRMM0B0tGKBrm2CAnnniZYDe+6KEAbrWhwG6owUDdG0TDNAdLRigp31jYIDu+AkG6AN44+ekuVCAv13nQsXs8gCAHirLLmEOYsU7WsRS3oGeAyX7lkV7e7t44YUX1PXL2ewAlwBbbqod6POPf/xDnHzyySIajW51x3l6WbJ8y7IGWjyn30YVKBiAHggE1N3gcnAdeOCBWcn9yiuviIMOOkgdUS6PYuCnMBTgRUhh9EN/azHjqtuyTuqyiaguDItWpiDQLsNfdo0Y2QLxTAPTji9phnjFnihZb6+B5Uzwb4K4QSMGYWHbB2EhE8vZEMfF34pwFaRd1DgSwpo3FpP1nnHJcgi3Wluz7ptcRjQCATI7m/1uZpldBv4tRQ2YAfbUXjuj3dZif8WLcWCGR2CYG4eBMIiPPB3j6Honx+L4qK3GcT2uGMfwZ3W1kGlkNY6P2pl1EG96WT2EVXg6Iawt6ScrHnITjSRiGgL7kMrTTmH/TwliHesTJVn5mKjtIevdksC+jtluiOshnPU+pV9AvNdbd4CwMX7sq3I3apvJkhMpE/7UmgxC2KYEXt2TtDFtmScMaUd50TcWm7gu9LkSWfl5GanMxHL8BqZflyiHPKk2e1z4MkbFWxurhPxiFvapjFTp7YC4VN+YhN02JUOQ1hboE+rjOAbfr0MHEH1+BOR3+KlvkWZhuHBep+y2nRivEwONkKdB2HeY+FIfsb2YltCGqp9MuCFaCuk7krhOKPei7bTGcaz6TbSnGn87lDHai2Ow1aLnZWqN0pjAPnyrYSKUs+7jURBW+iXahK8V/aA7in1KuEGRMohFohDCHcU8zSiOGVeSWE960N8aSczPiBNzsI35EcNAuCx6/raC6JtTLmxjsgh9mZHAsql6EyYqLD+22SQ0lB3qW4/+0fpqNfS1OXk8hMVH4hxFaUEBdGrN6q5E/xafRS8oDKKvRQo1SxZhH9g+1IeyHTOS5S4Tok+VWIQ525Q9xtCWk8X0vL5lJxgxypa8ZO5TAAAgAElEQVQxP0ovqi4y/2SQmJcnYn3aJqPeVilqNmo0+ii3iXUcEcC1Q40fdwU1x3u/yi9do7YE+uDmCK4x6hrRllMtxJwQJzqVCPI10b6MeMUU3nbCPxLJY+UYmMCmCGL6JudaF2HelF+WiYmlmiCmakEsZYQbpzxhEu8ThLcl25JhySti1cScQPRXqgznVhfRGDuO48Bsx/WWtwX7hfhskGkZLIilo3ATny2ITxaCmieotIkgYTvZDiPalIVFuChiOSHi47CzK6pwfVrqx3V5mQ+FoNZG00L47icFp9bWL9RNg77Y0ILrt0gL/U4IiQnDDayl/ffSX12U0Q74D4WpAH+7zl+/MEDPn9ZDXZJt2+K6664Tt9xyi5DXL2fzyKPVcwGw165dK2bMmCHC4bCQG3UvvfRSEQwGxdlnn63yl8yxublZfPDBB+LBBx9Um3H33XdfIa9nllcs77///tlUl+NshwoUDECfPHmykPcSnHfeeeKOO+7Iqit+8pOfiLvuuktMmDBBrFixIqs0HGnwFeBFyOBrPJglMEDX6jJAd7RggN6PEccAvUc0BuiOFAzQ9ThigO5owQBd2wQDdEcLBujaJhigd2lBsHsG6NpOGKB3rdWz/HGJjM0A3dGMAboeRwzQHS0YoGubYIDepQUD9H58CBk+Sfjbdf76Kl3rGaddLbx53oG+5H6+Az1fvX3KKaeIhx56SO3+llC6srJS1NfXK4A9ZswYBbA7OpwfWsmwqqoqBbnls3LlygFVUwJzCe6Li4vFkiVLRG1trVi0aJGYPXs2AHq5EVdeC/3oo4+KE088UdWZH1YgkwIFA9DPP/98cffdd6vBJY32hBNO6LXXnnjiCXHSSScJ+cuWvkB3NoXBV4AXIYOv8WCWwABdq8sAveujHO9A7/uQY4DeoxkDdEcKBuh6GDFAd7RggK5tggG6owUDdG0TDNC7tGCAro2Cd6ArLYw470DvNgregZ75FYV3oGtteAd6L6+yvAO99/d8Buh9/w4yjFLwt+v8dRYD9PxpPZQlPffcc+Lwww9XsPrUU09VMHvdunVip5122gxgL1++XDFAuYFWbqiVx65Pnz59wFXfZZddxGeffSYuu+wyccMNN6j8MgF0+TfJFPfYYw/x8ccfi8cee0wcd9xxA64DZ7BtKlAwAF0OqFmzZgl5R4J8jjzySHHaaaeJ3XffXVRXV6uBVldXp+5If+CBB8T8+fPVr1lKSkrUYJBHM/BTGArwIqQw+qG/tWCArpVjgO5owTvQ+zGaGKD3iMYA3ZGCAboeRwzQHS0YoGubYIDuaMEAXdsEA/QuLRiga6NggO6syxmg99gEA/TM7ygM0LU2DNB7eZdlgN77iz4D9H58CBk+Sfjbdf76igF6/rQeypLkTm4JonfccUcFsuXTG8BesGCBOPbYY8XYsWMVxC4txSs3+tKe8vJy0dbWpoC85IryWbx4saqP5IqxWEy43Ztf1yKPcpf8UYL/p59+ui/FcdztSIGCAehS81dffVUcddRRCqJLw+7tkfBcHskgQTrfUVBYFsuLkMLqj77WhgG6VowBuqMFA/S+jiJ5FhHfgd6tGgN0RwkG6HocMUB3tGCArm2CAbqjBQN0bRMM0Lu0YICujYIBurMuZ4DeYxMM0DO/ozBA19owQO/lXZYBeu8v+gzQ+/EhZPgk4W/X+eurzQD6qUNwhPsDfIR7PnpbXrEs7yGX1y2fc845qsjeALr8+49+9CPx5z//Wd1DftVVVw2oml6vV1iWJT788EMxZ84clZe8LnrSpEmKM8qj5OWR8umPjCs378rj3qWd8sMKUAoUFECXFVy9erW4+OKLFRiXRk898pj3o48+Wh0FMX78eO7ZAlOAFyEF1iF9rM60626DFB7nYAh43BEMS/oxLE78iCxRSnwRJF7gXJUxyHCX8TiphdwYTyY0XFhOjQ8bVEU0MmZ7UAsX+qUNRAN9RhLSPvXlTijOomJS23HXvNXHnuPoQ6VAx4l7QtEpA4257JklEM9qacm62tQPGVq+4ywK0x9/C9qo7cb6tI03sT5o8iJRglUkhoaKlKiNQ+Rp4zdA2M5l6yDMcOEXilc2TIV4AQ+WEXQnIN6sUiyXKkMmbIoXoX8zUEcPMf4pCFrtRR+TsFFvKi0VVuVx7oja8mm30OF2Jn1Z2dQhZYsg3uvt0yCsI+mFsJG+NgirctMTRSK1+S98ZcJWK4DlEG0pMXGSefQvB0Lai878O4SN9zRCWKXZiTYviB+7yOO8UjhmNlo4mXXaqHeliVpssmhfv2WFWizn/q/0h5qL1HgjLi0N29hfUWLAtiSwDz5pHANl71WD95AFDRyD1V60CTtFa0vZLWW0HRZqS82t1LikdKD6tJRYyIQt1FDW78vOarTbBMal/MyU4gYcM8S4LjXDEI8K8xvo82TC9YlySP9luAbCXvl6CtrZ52UQVrIC/XJgE66rzAj6SytAzDFe+ku9O4J5ujsxT3cY252ifnRNrSctLMMVI941qd+/ebAtUiwrgJOmkcBybA9mansxjFo7GEmi3sR91y6b+Mov73km1iPutij0tWsFzstiDNqOVYo+yvh4GeRnR4iXBGqgUz84lL9D3GNHiJ0opscmle2WYS4L9TGJ/qf6KlP+lLYuys6IrrH8aFN0fpiYsjFB2HySKEO2xSRsNFyD2rZMxUyp97zgzGaQKBrDsZGI4XpgdA2mbQ3j/JSpD8IRrLfVimG+Oizbg9OWoNa3JvGKSb0Dyzq6o0R/4SuhoKaZeAnqHUO3LBJl1K9qKKeHqqVM2k/YRegLXQn0UWYnhvmasGwv8Xpj4tJBUOPS9tDzRBJdjyCWaoKKlwihFskywv8TQe4OHKvEMki4cfpWhRKvDoKawj1EeoPw9WXL0bc27oziJPDVRhBLciFokxCUT6HsNlGMGdgVOFcXlWG9R5YQ7xN+FGJ8cBPpAiJEhd5vGAdxGz8bAWHFq9DOiGUnWW7RBmIMCiHefuRn2UxHHKeAFOBv1/nrDAbo+dN6KEuSd5nLXd4vvPCCOPBA57vN0qVLxcyZMxXADofDwufb/B3/3//+t5g3b54C3h999NGAqj9ixAjR1NQk3nzzTbHnns53WrlJV+5sl+W//fbb6sj29Ofll18WBx98sJDwPRrFd6QBVYgTbzMKFBxA71Z248aNQhrxwoULRXNzszquvaKiQsyePVsNwpEjR24znbCtNYQXIcO7Rxmg6/5jgD68bTlftWeArpVmgO5owQA9zSYYoCsxGKBrm2CA7mhB/TCGAbq2EwbojhYM0NPmEwbojk0QAJwBurYTBuhdWhAcmgG6thMG6F1aMEDvMQoG6Pn6elI45fC36/z1RbrWM0/J/w70xQ/yDvR89HY3QJcgfOedd1ZFyiub5RHtEmDL3eDyv9MfGXfu3LmirKxMwe+BPPvuu6+C5H/5y1/E97///Z6sJk6cKNasWSOuvfZaceWVV25WxBVXXKHuS5fXR0sWyQ8rQClQsACdu2v4KsCLkOHbd7LmDNB1/zFAH962nK/aM0BP+7jNO9CVGAzQ02yCAboSgwG6tgkG6I4WDNC1TfAOdEcL3oGubYJ3oDtaUDt0GaBrO+Ed6F1aWLwDvdsqeAe6owTvQNd+gneg5+uryPArh79d56/PGKDnT+uhLKkbVKfvQE8mkyIUColEIqFOmz7iiCM2q6K8r/w73/mO8Pv9aof6QJ5LL71U3HrrreL8888Xt99+e09W//3f/y3uvPNOdRX0U089JQ466CD1tyeeeEKceuqpauf5McccI5588smBFM9pt2EFGKBvw507VE3jRchQKZ+bchmgax0ZoOfGprb1XBig6x7mHeiOFgzQ02yCAboSgwG6tgkG6I4WDNC1TTBAd7RggK5tggG6owUD9N7fIhigd+nDAL3HUBigO1IwQNe+gwH6tv41pv/t42/X/deurykZoPdVseEZ/6ijjhJPP/20gtcSYnc/e+21l3jvvffEscceq6B1+nP44YeL5557TkybNk0sWYLXXvZFie7j2OV95vKKaHkFtHzk7nN5jHyk64opecK1PGq+s7NTnXgt473++us9x773pUyOu30owAB9++jnvLaSFyF5lTvnhTFA15IyQM+5eW2TGTJA193KAN3RggF6mk0wQFdiMEDXNsEA3dGCAbq2CQbojhYM0LVNMEB3tGCA3vurAwP0Ln0YoPcYCgN0RwoG6Np3MEDfJj/B5KRR/O06JzJmlclmAP2HQ3CE+1/4CPesOmqAkeTu70suuUQcffTRaqd39yN3f8td4PIY95NPPll873vfU7vNH3zwQQXcZbjcPX7jjTcOqAYShv/6178Wctf7WWedJcaNG9eT37PPPqvKbmlp2awMeSf73XffLU477bQBlc2Jt20FCgagy0EzkOeUU04ZSHJOm0MFeBGSQzGHIKvp19wGpXo6+lAR4h6tRCmmTxnZ5RkdnYCIUybivSRlviiZYdLGgip8nRA3ZMYhrCkRxLAYhpV4YhBvZWsFhCX+NQLCqu5+Kzsh+hDLPboWYttNzRjW9eu7PmS9zUZ1df0yMb2BKcvKqr3u8Zvf4SMTpVraIK3V2ppVfpkixY/YA/6U9OGRjeEa51eW6Y/LxlxdRPOi5RgvXoZhyWIiQyFE+SS0s7nVayEDt4GFTwviuF4WHglp14WxQn4zCfFqA5svjGWEoIHjXIZbAv0EFTdse6GcmO3GcU04Tepu4wQBl6NEWCabCBOX9XmIjvUb6EepPFuTAQim2jzah/1cYaJflZlFUx70PSm0WyoelWcZUQ7VvpEmjkE/oU070aeywi02atFp+6At7UQ8i5jg2m0/pB3r2ZSVT1ibqCTjrYjgnBKx0EYXNeM4mle7CO3W3Q5hlLZNyRDEa7VQL0oHmXCUF8cm9YM1i7jUd3WkCsqO2GhjFR60R5sY5zELx299rJjU2ybsttKHCySb6P8yDx5HV+qOZNUHZSamXZvANYbMrJn4Yv55G64JPlmuPyZ0V6L0c9QxtA59vSeMYUYMw6wA+lXbJI4ZFkJ4OnBOMGMY5iLufnbZWDYFHclOTRGLVhfWMVmE2sj86DpivW0v2pntRX1cme6i3aLyVPuo/GQyV5JaAGAbPcu+Ron86PNEkBjrX66CtOQaKkWvHai+cU+bAsHRsTj/u6g+JDJ0JbMVFxOnCJtQ2lrYHsomzJUbIFNrHPrlZCn6b2rMGIns2pLKMN4o+7GCuHbsJNaTkRHE/F2J9bFKcRwYYSzDLiPWJxkGQiqJY8Zsx7FVtBbr6GvGOrrx9U24bIxH/bDFol2CsN20j9vSAIjllkiUoO2FRxFjpgjXvMLMzib8RfQ6uCiAYrR14FhPNOBaJrAR+zVQh23xhLGOhoVhLqJ5arwRTYyHCH8dpN6NsD7UNwYXYWOuOOZnRjHMX0/3PVVv6nWE0sfXgv0fWo3rm/ZJuC5rmYzjhViqiYz3fhN6p9wYmCzDDvOX43eZHUfie165F9c3nUn0g0YGn/B5A/rRzsW4PipfgvX2tqO2thf70CLCqLTSwt548pKs1vUcqXAU4G/X+esLBuj503ooS1q5cqWYPHmykFBa3ndeU1OjqiOB9p577inkfecSlqc/EnqPHz9e/a28nPggmcMGyTvWH3/8cbFo0SJVp6lTp4oTTjhBjB49OoelcFbbogIFA9ANw4BBlK3gcvBJw+enMBTgRUhh9EN/a8EAXSvHAL2/VjT80jFAd/qMAbq2XQbojhYM0LVNMEB3tGCArm2CAbqjBQN0bROuBAN0qQYDdG0TDNC7/AQD9B6jYIDeZRMM0HtsggG6IwUD9OH3HWU415i/Xeev99K1nvWD/O9AX/RX3oGer96W4NyyLCGPUQ8E9I/xmpubxQUXXCAee+wxdR+6fCTPmzdvntoBPmbMmHxVkcthBfqsQEEB9D7XviuBHHBycPJTGArwIqQw+qG/tWCArpVjgN5fKxp+6RigO33GAF3bLgN0RwsG6NomGKA7WjBA1zbBAN3RggG6tgkG6I4WDNC1TTBA7/ITDNB7jIIBepdNMEDvsQkG6I4UDNCH33eU4Vxj/nadv95jgJ4/rQu9pPb2dvHFF1+ojbBTpkwR8j5yfliBQlegYAD66tWrt6pVZ2enWLZsmXjooYfE3//+d7H33nuLe++9VxQVFanjHvgpDAV4EVIY/dDfWjBA18oxQO+vFQ2/dAzQnT5jgK5tlwG6owUDdG0TDNAdLRiga5tggO5owQBd2wQDdEcLBujaJhigd/kJBug9RsEAvcsmGKD32AQDdEcKBujD7zvKcK4xf7vOX+9tBtBPHoId6A/xDvT89fbwK+ndd98Vv/nNb8S//vWv4Vd5rnFeFCgYgN7X1j7yyCPihz/8odh///3FCy+80O/j3/taLsffugK8CNm6RoUcgwG67h0G6IVsqbmtGwN0R08G6NquGKA7WjBA1zbBAN3RggG6tgkG6I4WDNC1TTBAd7RggK5tggF6l59ggN5jFAzQu2yCAXqPTTBAd6RggJ7bbxycW+8K8Lfr/FkIA/T8aT1cS1q/fr069j2fz6uvvqrA+UsvvaSK5dOt86n+8Cpr2AJ0KfMZZ5whHnjgAXHnnXeKc889d3gpvw3Xlhchw7tzd77wNmiAGaPbZHkx3PJhWCJEpHdhWLzMhkBXFRZeU9kG8Up8UbKSfjOJcT0Yd324BOJtbMMw08A6tjViA2tecmO5D72dc+OIfXsPyNPXSHTYO5/mvGzOMLMC7hFV+MeS4qwkS/k9ZLy6/TBPM5aCuM0zMLmnjRhwRCkpNFuRKMEy7HLnzqItn7LKDgj75qgVEPZlB7YlbpkQb1yoGcvwRCCsPobaTghsgniGC9siIzXEcQzHbBTDZ6A/GelDf1RqYh0NF/oOU2AYVceYTdsEBbcbCYfbmUTHXEL4wemB9aAZBY2LDfShIz0tpE1YKQPCbYFhBqGF14V6B11xyM9P9Eu7jW32iIFd9/Nyx0woe32sFMIomxjjbcpq/PtcOLaWR0eRaT9oHgfh00vqIGx28GsIi6bQpr6I1EC8gfyQpNLTSdbbTqE/8hjYNx2WH9Kvi6DeRW60ieZ4ENJ2JIhFC1HDCl+YrHfSRh9FjddyL7Y7YGK/Uj5mSQv2ATWG1m6kj7pLWaitqxX72tOOY7B8CfpHbwfho2KEL0tgmG1iXWwvlivFNqNEnlEc/y4KtljE2pG4h5xwMYJwRfIyPuj/lEHX2w7gPGHEs/MzKRPzdFFtSWL7hE3o7aPnCUpzaip0EeWYLTiXWUu/xPGRIuqYlccTwgxRLwlCWDtNySoH202sbwxiHBDtS7mJuSiObbF8OPZl5QzCzjyNOP6TS7/A9UgQfVTiG7iASxHjyJXCsepKEms1D2231DiyfBg3WoX2HQ+htpFq7CpiySMIly6IJYIIbqS73iJMPNBIaEGYo6+N6FcPtsXyEX6LWhsX0evqFG0q0CDqHZpqdbQa25esxvnE8KLfCYVwreb3oF+V5XpMTN8exXUU9c7rX4UdE1pHzCdtGGYQPl3QS3VB9U0ygP0QLcewBPEKlijGgqj3JR+xvPW1YFrKxqS2ljc7myKWssKMYzmhhbjOa9tlJJhPpBLHdJzQIVlEj7d4KZZtlaD9eIpxDRbwo43uUNUABdX6WyGsLYlrvyVNuDaSCZsW4vtkxefYHn8z2je17kgWZTeAXTZtpK/989Ks5i2OVDgK8Lfr/PUFA/T8aT3cSpInUt9www3iwQcfFOEw/R6eTZvq6+vF2rVrhdvtFhMmTBClpfjdoDuf//znPwqcv/nmmyoolUqpjbkM0LNRevuMM6wB+r///W8xb948sccee4h33nln++zBAmw1L0IKsFP6UCUG6FosBuh9MByOupkCDNC1HAzQHS0YoGubYICe2WEyQNfaMEB3tGCArm2CAXqXFgzQe4yCAbojBQP0ND/BAF2JwQBd2wQDdEcLBujaJhig88cbqQB/u86fHWwG0L8/BEe4Pzx4R7hLcPvee++pf95//331z6ZNzmaOU089Vdx///19ElqyLnldscyvoaFBjBgxQnGvs88+Wxx22GFZ5SXvF7/vvvvUFchLliwRHR0dYvTo0eKQQw4RF1xwgZg5EzcGZJVxDiPJe9Cvv/568fDDD6v70NV7r5XdD5HTq/HUU0+JX/3qV+Lzzzf/BdXBBx+s8p87d25P9A8//FBcfPHF4o033lBhEpzLR+p61VVXib322iuHLeSstiUFhjVA/+STT8Suu+6qflXS3Iy71LaljhpObeFFyHDqLawrA3StCQP04W3LQ1l7BuhafQbojhYM0LVNMEDP7J0YoGttGKA7WjBA1zbBAL1LCwboPUbBAN2RggF6mp9ggK7EYICubYIBuqMFA3RtEwzQh/JLSeGUzd+u89cX2zJAlzuXMz19AegS5srTlSU8z/RIiH7PPff0eo2xhPdHHHGEkPd6U4/P5xN33XWXOtU5V8/HH38snn/++c12gB977LFi3Dg8MU+C82uuuUY8/vjjwrbtHog9Y8YMsWjRoj5V6ZZbbhGXXXaZStMNw7szkP0SDAbFc889J/bee29x8803iyuuuELB+u4d50cddZS48sorxW677dancjny9qfAsAbo8+fPF8ccc4waEPLXNPwUhgK8CCmMfuhvLRiga+UYoPfXijgdA3RtAwzQHS0YoGubYICe2UcyQNfaMEB3tGCArm2CAXqXFgzQe4yCAbojBQP0ND/BAF2JwQBd2wQDdEcLBujaJhig8/caqQB/u86fHaRrveNJ+d+B/vkjg7cDPR2gjx07VkgQLI8Il09fALqEu3LHtHx22WUXBYYnT54svvrqK3HTTTcJCanlI+PJ48epR+7gPuigg8Rrr72m/vyd73xHnHXWWaKiokIBdZlO7pg3TVM8/fTT4tBDDx2QEbS3t4sf/OAHYsGCBZCPLOOiiy4Sv/vd75w5KB4Xl19+ubqGWdazG3jPnj1bten444/v9YcBWxawbNkyIdN25yW1krrJchcvXiwWLlyoksyZM0ecc8454rzzznPWzC6XOO6449SOc5meH1YgGwWGLUBPJBLiwAMPFG+99ZbYaaedhNyNzk9hKMCLkMLoh/7WggG6Vo4Ben+tiNMxQNc2wADd0YIBurYJBuiZfSQDdK0NA3RHCwbo2iYYoHdpwQC9xygYoDtSMEBP8xMM0JUYDNC1TTBAd7RggK5tggE6f6+RCvC36/zZwbYM0OVu6t133139U1NTI1atWiUmTpyoxM0WoH/55ZcKvMvd0fLIcQnAA4FATwfJu8H3339/8cEHH6g7vpcuXarg+paPPC7+9NNPV8E//vGPFaxOf2Q5crd1W1ubmDp1qgLNMr/+PpLLybpuufu7Oz8JqyW0l3WRx8d/9NFHPXFlPeTu76OPPrpfxV9yySXi1ltvVUD8j3/8I+yolz9ikLvgo9Go8Hq9IhaLienTp4sHHnhA9RU/rEBfFCgYgL5mzZqt1lse7SCPapcO44477ui53+C3v/2t+PnPf77V9BwhPwrwIiQ/Og9WKTteehtk7SI+RMhIiRDWIlHs3CGS/qSI+dj2Yaa+mjCk9Xmcu1DSn2J/DMKqAp2kJG4Dy+lIeCFuR9wHYevryiBs8r2Yn/nRcohnR6JYn1QGIbPsTCNtAdWdxJo7HVK7P/kSwqz29ixL4Wi5UKD9pD0hm1ipgWPDxNJsD10D6qNHvBzHm1WCY8bw4V1CKQuPmnIZmF8ghOMt5I+TlawM4jgs8WD6dZ0lqE8CHcW40haI942ylRD2dvMkCKvxt0FYc7yIrDcFt71Gdvcv+QxC70xOc4vSqbQhE/XyZKiLIbC/TKLsUR7UMWyjHxzvbQR9qPwqDexnj4vWq8XWL37dma9LlEM57UQ8qrOKjQgE+40EhLVaQQj7Ol4BYT4irYxkEtpSdtYS80OetUVoexMCzj1o6Y/hwv6rcKO2q6KVpN1+uGkshI8g5sKZxRsgHtX/6yM459UG0HZWdWJ9pobqoYwqD306VCOxeKB+VPFpcy3kWeLF8UGJUxfGBUqRB/1WhQ/XHSMJ3yHLGO3D66Jak2hnayJoZ1ELHXvcxgngs6+xzVYzrk/8G4jJQwjha0U1bJx6hJuQMViPaxRPO/o3wmwFMVxEohjraCTQ5mWN3Z3oP8wIUXYyu3WUi7g/j4LvlO24YuhPkuX03JFy4zxqJLKsI9UWAoxTdUyZqK0rQftgO4C2R9VbEMdPejaiL0u5sWxrKa47SadFrINde9A7P6hyUoQtp0wikDpJ06ZtD+pJ6OCy6D6loLXxKfVOgPOWi+hDa9+doTq2F9tnxLE+lN25krRNmGsboBxr9Ags20+NYSw7UYLrCctH9AthFJQ/8bTSa0wrgOvElJH52NT04lxE/1t+rGNnNZYRL8WKJ3FpoyJRSwpyeURUO0WEJYiy46WEPboJ+ybW9IKKJ9c8AfS3NvWeUI/zUXA9VjzQiPXxtWG9Kb/sr6fn+Wg1lh0egf2VpNw1NfwJvX3NGNHbQbz7R7Pz88oosiybnI8sQsdXPoOosQN2wrAK1CYRxEZ3jqLHUGQk0e4q/L7h9aLt1JTgd4fOOPqJ9giuoaOtGBZYSb8cl6xCffybsD7ucHbvdBbh88i5LEPgK886xwjzM3wU4G/X+esrAOhF+N45WLWJd7aIwdyBvmW9+wPQzz//fHWsunzefvttseee+D3xnXfe6bmj+yc/+Yn43//9X5Bs1qxZCoqXl5erH4jIE5u3fG688Ubxi1/8QgU/8cQTajd2f55//vOfClBLgF1dXS1kG+Q1y907wO+++24hgX1ZWZk44IADxD/+8Q9VjNwEK3faz5s3rz/F9qT5xje+ofjg9773PXWPOvVcd9116rh4+UyYMEHt4pfXQPPDCvRVgYIB6HKA9X/NB0sAACAASURBVPWRv3DZa6+9xEsvvSTkHQ78FIYCvAgpjH7oby0YoGvlGKD314o4HQN0bQMM0DOPBwboWhsG6I4WDNC1TTBAd7RggK5twsUAXYnBAF3bBAN0RwsG6L2/ezBA79KHAXrahII2wwBda8IAve/fMxig912zoU7B367z1wMM0DNrLdmWPPp93bp1aof0kiVLMkaWf5dHl48ZM0bIjajpx8fLu8V32GEHlVbepS4BNvVs3LhRjBo1Sv3p+9//vnjooYf6ZQgnnniieOyxxxSs//zzz3vy7M6ss7NT7fSWu+W76ymPpZc70vvDALesZFVVldpk++ijj4rvfve7ZBtk2TNnzlTl33bbbeKCCy7oV1s5EStQMADdMLL7lXJ3l8n7G84++2x1Z0H6sRbcpUOvAC9Chr4PBlIDBuhaPQboA7Gk7TstA3Td/wzQM48FBuhaGwbojhYM0LVNMEB3tGCArm2CAbqjBQN0bRMM0B0tGKD3/t7BAL1LHwboaRMK2gwDdK0JA/S+f8tggN53zYY6BX+7zl8PMEDPrPWKFSt6jmOXd3Xfc889GSPLv997773q7zJd91Hx8v//9Kc/iTPPPFP97ZFHHhEScGd6pk2bJpYvXy7GjRsnVq9e3S9DkEfAyzrIXd6//OUvyTzkrnN5D7sE2Icddpi6dz1Xj8fjEfKkarkLXd59Tj3y3nW/36/Kf+WVV8Q3v/nNXBXP+WxnChQMQJd3EGztkZC9uLhYOYgdd9wxJ79Y2VqZ/Pe+K8CLkL5rVkgpGKDr3mCAXkiWObzqwgBd9xcD9My2ywBda8MA3dGCAbq2CQbojhYM0LVNMEB3tGCArm2CAbqjBQP03t8TGKB36cMAPW1CQZthgK41YYDe928PDND7rtlQp+Bv1/nrgXStZ594lfDm+Qj3hX+7TjV27dq1avf2YD59PcJdQuVvf/vbqkpyl/SFF16YsXry7xdffLH6u0yXfgz6pZdeKm6++Wb1N3lU+Zw5czLmI+8dnz9/vgLL7e3toqiIvq6qN51KSkqE3GX+zDPPiEMPPZSMKnfVy931shy5W72/x8VTmUtGKPNduHCh2mWe6ck23mDaBOc9/BUoGIA+/KXkFnQrwIuQ4W0LDNB1/zFAH962PJS1Z4Cu1WeAntkSGaBrbRigO1owQNc2wQDd0YIBurYJBuiOFgzQtU0wQHe0YIDe+6qfAXqXPgzQ0yYUtBkG6FoTBuh9/5LAAL3vmg11Cv52nb8eKBSA/t5778FR41uqMFDA3leALnecn3feeaoajz/+eMbjyOXf5Z3lxx9/vIor08kd6d2P3HEujzOXT0NDg5BHnGd65B3qd955p/qzPOZc7kjv69MNpj/77DMh717P9HTHe//999Ud6bl6sgXj2cbLVb04n21TAQbo22a/DmmreBEypPIPuHAG6FpCBugDNqftNgMG6LrrGaBnHgYM0LU2DNAdLRiga5tggO5owQBd2wQDdEcLBujaJhigO1owQO/9lYMBepc+DNDTJhS0GQboWhMG6H3/jMEAve+aDXUK/nadvx7YDKB/bwh2oD/q7EDP5pF3kg/k6StA//3vfy/k3eDyefbZZ9VR55ke+ffuXedyt/nPfvaznqhHHHGE2g0un0gkoo4uz/Rcfvnl4qabblJ/lkeg77bbbn1ucrZgOtt4fa1Ad77y/vUZM2ZkTJ5tvL6Wz/G3LwUKBqCfccYZ6uiF3/zmN1v9NVB3F8lf1MhBL9Pdd99921fPFXBreRFSwJ2TRdWm/+o2iGX56ISJMgv/YBBxAxivckQbRBxZ1A5hnQkvhNnCBWHFnhhZSbdhQ3jUckPYF+urIazogwDW8ba3slBRCOFCIQw/CmkUh+j8TBPDS4tRi5VrMSwWza6OgxDL5fZArqlkYhBKGvwsXUQfmFMnYcFNLWhjO42HsKaZhC0T3ZxpvEWrcSHvGhWBckZVtkJYuQ/jUeMgaaPd+t1JyM/twnElI9kpHJteE8d/SwwX89Ek2o5JjN/dKtHm25KYn53CtlDAWta7xof+qMqD/mhdrBy0yJTnlhGpOsZs9EVlHuyr3YpWkgbvdaG28RQaFaUFFa/ajTr4Xdj/VFqqLrLS0RS2cVV8BLRnaWQU+v8k+swpwXqI125h/38dLYN4jVH0tx3EHJPJu6QI+55YsgmidyQIeyTmLUPgmA550H/XR9D3y0JDnjiU3ZZAzeo7sd0VgTCk3RTGo9sqg50Qr4HIb2p5I8Qr9aIty0gxYg5uieN8S83fhgs1y+SPtqxQtQ/H9LTghqwnkzWxSohbFyuBsNXt6Cfa49gv8QSOjbZ67KvQFxgv0Eh/2PGEMdz2oF82YxjP20r4+jCGCRfmFytH/227MZ6RzFDvdvRlZoxYYxIftFwWMR8RQS4bA11frCHWLNjm1KwppJ1QeVL6iCRRIWq9nKU1UgBdZMjPZVE2gfME1ZaUgZlS8cy1DahjeweEWR0YZs7agWy1HUI/mjLQplImhlEZUssW9xqsd2Iivg+4EvSax70J25P84qusetE9uhbiJcdj2ckgjn93J66rqTqaHfT7QHLpF1nVMdtI7gm45k3Woh+kfALZVxm+W3u+RH8dnjM2q2pSdhIrw3EQqUJ7ihIbuIjlm6qHSUjuQTMRBvFqRNmoSbzexnHaEcSSVySDhDQZhku8HG08RcB2I4Y+IbABM/Xj0kh4woQPJoaWO0KPN08nzgmtE4iPFEQbqbnHxCWU8LZRcxFdny3VzWTfVL9SP+hwtxNG8e5C7MQUoeM3dsK18QQ0gFgp9l8nuiKVF7F8F8QrgaDeW63ROBCMOuwr4pVFBOqwA0PraKdA9auvCedwYukoqPmE6hcqjEorNXv5ucuz8kccqXAU4G/X+esLBuiZtZZ3iF999dUqwosvvigOOuigjJFfeuklcfDBB6u/y3RXXnllT1wZLv8uH8uyhATHmR5Znkwvn9dff13su+++fTaGbMF4tvH6WoHufGtra4W8Dz3TI3/QILnh1uLJOF99ld06vq915fjDX4GCAej9GVDSsKdOnaoGgnQO/BSGArwIKYx+6G8tGKBr5Rig992KGKA7mkUZoPcYDwN0RwoG6NqfMEB3tGCArm2CAXqXn2CA3mMUDNAzr8EYoGttGKA7WjBA7/2dhQF6lz4M0PUcwwBdacEAXfsOBuh9//Yz3FPwt+v89WChAPRCPMJ9uO9A/9Of/iQmTpyY0ZgOOOAAxe22Fk9msN9++2VtlN0ccWsnBsiy5ZNNPGaLWcu/3UVkgL7ddfngN5gXIYOv8WCWwABdq8sAve+WxgDd0YwBurYdBuiOFgzQtU0wQHe0YICubYIBepefYIDeYxQM0DOvwRiga20YoDtaMEDv/Z2FAXqXPgzQ9RzDAF1pwQBd+w4G6H3/9jPcU/C36/z1YLrWO52Q/yPcP3vM2W29du1aMdA7zremWl+PcB/ud6BvTY9s/y5BdzJJnH6WIYMJEyYoMJ/LZ+VK+uTHXJbBeQ1PBYY1QF+0aJGYPXu2utchHMajKIdnlwz/WvMiZHj3IQN03X8M0PtuywzQHc0YoGvbYYDuaMEAXdsEA3RHCwbo2iYYoHf5CQboPUbBAD3zGowButaGAbqjBQP03t9ZGKB36cMAXc8xDNCVFgzQte9ggN73bz/DPQV/u85fDzJAz6z1ggULxJFHHqki3HbbbeLCCy/MGFn+/eKLL1Z/f/rpp3vuQ5f/f8kll4hbbrlF/e3jjz8Wc+bMyZjP0UcfLebPn68AdHt7uygqwqvctmYdvR0Rv7W01N/5dOn+qMZp8qXAsAbo9957rzj33HPF+PHjBf9KJF8ms/VyeBGydY0KOQYDdN07DND7bqkM0B3NGKBr22GA7mjBAF3bBAN0RwsG6NomGKB3+QkG6D1GwQA98xqMAbrWhgG6owUD9N7fWRigd+nDAF3PMQzQlRYM0LXvYIDe928/wz0Ff7vOXw9uBtCPH4Id6I8X7g70FStWiMmTJ6vOOOecc4TckZ7pkX+XLEw+Ml360enyiPQzzzxT/e2RRx4RJ554YsZ8pk2bJpYvXy7GjRsnVq9e3S9DuPbaa/uVrrdE11xzTc7z5AxZgVwoMGQA/de//vVm9f/Vr36lfvly3nnnierq6l7bFovFhLz/XP5aRv73SSedJP7617/mQg/OIwcK8CIkByIOYRYT7nR+sZb+eGvoEx4qijHc5UpB+jJ/JKsWeQ0L4tV1FkOYncK3f9OwyTLilgnhTU0hbOMKP4RNuP4jLDsWhTAjGMSyp02AsGgtlmu76S8ZoY/XQfpUUwuEWR0dWWk7kEgUFJf5GVPxnhu72AdFmSs3YL2bW7F9ycRAqonllpaS+bmCAezXFqxP9IAdMb1B2F4U7TZc7YG07WMM1AHNTiRDOIZkQnMy9nVNaTvkWe7D8VbiQbulxLEFti9gYr9Q4E/m12l5Idu45caxQISFk4RmMRSoMtgJ+c0uXQ9hu4dWEL4D+0BG2phEW/mkfSykD5n4tc1woe+hNCt1o78c4cb+KzUxXpERI23ZSmF7oinU0SbitViE3yJKMYn2VZhoiw3JErKO7Tb24ZdhXOe1JnBcGsR80hTDejd24i+m9x6Jx28dVLoE6hh00dpSNhEjtP0yWkPYGY6jddEyiNcYxXpT81t1gPbzazswT2psjipqg7Ipbat9aI8vr5sKaUcXo7/sTODYr2vD+Vtm5nGjzxxdinm2EeO/JYx2MqYM58YqP/qJCYFN0BYPse7wuLB+MuHaaDmk/6q9CsLqO3CuD0dwbrQ2YFtCK3FMh9ahj/FE6DWPK4nzR7YfhI045mn5cA1l+bGOhIsR1PrGHabr7Q7jcX0G0RZhY/tSxDqKcFuCSutuwLFhrVqD42UmjgMZKWUQcwo1zRDNdtlEYIqY/4ky7ADh5z30/GZGUNuUm+pDYj1KHIvoSuL4MKJEGUu/Qt8YJ4gVOXMIYQSItdqcHTLE3iKYkNGVRL3N1bg+TU4dA2WYrfR7kLVoeVb1odoiZjofStOfZBH2qyD6wN2O85YrRqyh19XTa4cW9JlZNSRDJPeUSdiWEcT7G2Gj1DjP9G6UItJbRBjlE+LFxBrchzYfqcKwOPE6kULXqDQgXlGFF6dW4SGmdZNYqnvCaMyUZkmiLfFibIuFU5GqdxyXEyJeTsyFhJvwtKAY/kY0Fi+6W0G8doiSVbSfSAaJNW85lk0sHQU1J7gjqK27k2iziY32tGIdXW98MpBhRKYlx9aX+H4TPm5P9LeEO6HsJFxNf4sgXnmEt53QjNAxWpHlOoFyecTUGGig34297dhfZhQzoPqf8jPBT9eiL9uwEfvGRc+3z1uP5twGOMPBVYC/XQ+uvum5M0DPrLW8m1seK79+/Xoxffp0sWQJfrPoTj1jxgyxdOlSMXr0aHUcffoR5hKISzAuH7nZ9O677yYL3bhxoxg1apT6m+RpDz/8cP4MgUtiBYapAkMG0OVRD+kDXToM+fTl/gKZRh7f/vbbb4udd955mHbBtldtXoQM7z5lgK77jwG6owUD9LQxzQBdicEAXdsEA3RHCwbo2iYoCM4AXevDAN3RggG6tgkG6F1aMEDvMQoG6F1SMEDvsQkG6I4UDND13BFlgK7EYICubYIB+vD+Fpnv2vO36/wpnq71zt/N/w70T58o3B3oshd+/OMf9wBvybj23BN/GPXOO++IvfbaS3WajH/nnXdCB86cOVMB+IqKCgXYg8RmrxtvvFH84he/UGkfe+wxcfzxx+fPELgkVmCYKjCkAD1ds25w3g3Se9NTQnP5a5m9995b3fHA8LywrI8XIYXVH32tDQN0rRgDdEcLBuhpo4gBuvPxTtA7AXgHumMrvANdjxnege5owQBd2wQDdEcLBujaJhigd2nBAL3HKBigd0nBAL3HJhigO1IwQNdzBwN0RwsG6NomGKD39evf9h2fv13nr/8ZoPeutdw9PmvWLJFMJsXcuXPFa6+9JgJppzFFIhGx3377iQ8++EC43W6xePFiMXUqnpCVfoz7+eefL+64447NCpanOe+6666ira1NHRsvd7PL/PhhBViB3hUYMoC+ZbW6d6QvXLhQyF/M8DN8FeBFyPDtO1lzBui6/xigO1owQE8b0wzQnY93DNB7jIJ3oDtS8A507Sd4B7qjBR/hrm2Cj3B3tOAj3LVN8BHuvb8vMUDv0ocBeo+hMEB3pGCArn0HA3RHCwbo2iYYoPc+t/JfN1eAv13nzyK2ZYD+xhtviC+//LJHzMbGRnHppZeq/99nn33Ej370o82EPu2000jh5a5wuTtcPrvssou4/PLLFeSW0Pt3v/ud+Pjjj9XfZLzrr7+ezMOyLLH//vuLN998U/39uOOOE2eddZYoLy8X7733nrjuuutEfX29kAxuwYIF4vDDD8+fEXBJrMAwVqBgAPqECRPU8e3PP/+8mDJlyjCWlKvOi5DhbQMM0HX/MUB3tGCAnjamGaArMRiga5tggO5owQBd2wQDdEcLBujaJhigO1owQNc2wQC99/clBuhd+jBA7zEUBuiOFAzQte9ggO5owQBd2wQD9OH9LTLftedv1/lTfDOAftwQHOH+5OAd4S6B+AMPPJC1mJlOXrZtW8FuuYs803PmmWeKe++9VwHwTI8E+PPmzRPvv/8+GcXr9aqd6bIsflgBViA7BQoGoGdXXY41HBTgRchw6KXMdZz0MP6SrbK8g0xgGniMc5E3BnENF8Zrj/mzEiqaxONk2jswbcpykfnZCRPCfWu8EDbxyWYIsz5bgm3xYdnGqBqI1zp3FISlsCrC02mT9S56fxWEJ+vqs9JsQJFcuBAzS0vILKN74I+dkkFsZNHKdkjv+moN6t2BdkbBe7O8FOsTwH5pOHgsWe9gowXhsVKsd6QKbYo6uDxByGMR5p0YGYdyA6VRCBtZ2kbW+xtVqyF8dbgCwqKWB8LcLrQzt4E6ZBsvZGJbZKE+M4naWjiGIzbWsS5STLQF01b4IhBvShGOjWov6lhsoN4yM5PQ56XmGYQvQx3LPFgfn4E6eFyod6k7DGVQdQzbPtIm6gjjq3B3Qtzx3kYIa0ii3l9E0Jd1Wlj2GD/6y0VttWQd2xKY3kvY3uHVn0N6vysBYf+snwNhO5ash7A9Q/pX4N1/LCH6vzOF80EmH/pa+3T404dz6LknGz/sHo8+quJv6C93LF5HZvfUGtSipgjTR4kx2BQJQp7zxiyGsJfr8Gi4/atR25Abx9bK8Aiy3gubcH4cE2qFuJ+sGw1hVhLnqFAIy64swnEQdKM9UWGUzcqKNHSGoD7tn1VCmO3BmcJfj3bixuWSKF6DfoL6GOxtpX0wdTgIBZ0EcVS4uxn9UXhiGbTPlcT2pTzEfEkMDTNGX/9hRtBnGnH0t1YA5wQXdey5jeVQ+Znt6L/FhgZoc2o82qyM5IpjvQUBPKmBkDJx3UG2hWif7cM5NJPPcVloU4JaerpxbKWItmQL/l2rN+DYaMN1XiqJ4zJTWyifaY0sx+iEZmYb+gnrixWYdu4sCDNX4BwjIyUbcG51Ef1qThwPeSarcA62vdgHFCw1OwjnQfSztRh9tapIin73yGbeouK45s7GvibGasqk/AThKDJ8E7Y8+Afbi+njxTi2iKWMsAm/ZROnmEZxqS0SJbQvo971fE1YRw/xak0sCYU7iuUQy0mRCGIZVJup9xPZeTFiGCWqCP9GNNsVw37xtlBhaD1uwgV7wrS2nk4M9zWh/4hWoX+k+sUdIeaJGI4NM4Fhvq9xzZJclmG8ZTmwzDKcbzsOmIbzETE+UsQPvCnfYfnRTmx3hm8oxFig+sATRn1SRB0twr/FSomyie73tmeyCWJ+o9K34JqJWht5luN6OxXDtHYHrjFlR/0n/nCWvc3RCkUB/nadv55ggK613trVxc8884yC5BKASxheVVUldt99d3HOOedkvWNcHgX/xz/+UTz88MPqTvTOzk5RW1srDj74YPHTn/5UHRfPDyvACmSvAAP07LXimFkqwIuQLIUq0GgM0HXHMEB3tGCAnrbYJcYtA3QtCgN0RwsG6NomGKBnnuwZoGttGKA7WjBA1zbBAL1LCwboPUbBAL1rXc4AvccmGKA7UjBA13MHA3RHCwbo2ia8DNAL9Mvj0FeLv13nrw/StZ7znfzvQP/k74O3Az1/KnJJrAArMFQKMEAfKuW34XJ5ETK8O5cBuu4/BuhdH+p4B3qPUfAOdEcK3oGu/QTvQHe04B3ofZ/7GaBrzRigO1owQNc2wQC9SwsG6D1GwQC9a13OAL3HJhigO1IwQNdzBwN0RwsG6NomGKD3/R1le0nB367z19MM0POnNZfECrACuVcg7wD9oIMOUq2Q952/+OKLPS3qDu9PE7fMqz95cJrcKcCLkNxpORQ5MUDXqjNA7/pQxwC9xygYoDtSMEDXfoIBuqMFA/S+z9gM0LVmDNAdLRiga5tggN6lBQP0HqNggN61LmeA3mMTDNAdKRig67mDAbqjBQN0bRMM0Pv+jrK9pOBv1/nraQbo+dOaS2IFWIHcK5B3gG4YzoU4EnpbaXd1yXAZtrW7INIl6I6/ZV65l4lz7IsCvAjpi1qFF5cBuu4TBuhdH+oYoPcYBQN0RwoG6NpPMEB3tGCA3vf5nAG61owBuqMFA3RtEwzQu7RggN5jFAzQu9blDNB7bIIBuiMFA3Q9dzBAd7RggK5tggF6399RtpcU/O06fz29GUA/dgiOcH+Kj3DPX29zSazAtqdA3gH6AQccoEC5fF5++eUeRdPD+yNzel79Sc9pcqcAL0Jyp+VQ5DThwd9BsaYvSVbFNG0In1ZTD2F+E9M3RIogXjTpgbDmzgCEJVeEIMyqTpB1DC71QvjYWz+AMDsehzCXaaIW1SMgLLLTWAyrcmN+NuJXf5NF1tv/znJsY2trTk3CnLED5ufBNrs20eW27DsOdXQ7/j39qXjhK+zD+kYIc4+qgbDwzmMgrH0s2kkyiE2xsSkqUgq7RqSIuBaajkgUYx/afhwHZjna08FTlkElxwc2QZjPoG3Z40JbeadlEvZByvmhWvpT6olgv3g70b4FtqXD8kG8mE2IKMG6G9ttEHlS6b+OlEM5JUS9JxKaNcSLIW1b0g9hI3wd5Biq9LRDeI27DcLKTNRsY7IM4q2KVkHYKC+OI48LfWM0hfbdmPh/9t4Dyo7iSh+v7n55oiZKoxmFEUIBJCQhRE4mGWNwwIE1S7Axhl1s/9drg9dpfwavjY2x8fosOGAbY4yPl2BsvBhEMGCyckZCWaMZjSbnF7v7f6p7NP1G331v3sy81/NGuu8cDjo1FW5999atW/V1VWH/ZAONYWy7wBOFtsOEMW9pnwr5agqxz/WFOFbfOjwbys4u6SCxPaN0D7bj7UTdEHi3Jooh3/qBmZC2uh190bmV6HdqfShjSEWblQ3M9R2Gdh44fCGkdcXQ+ZT70U50E31jgnBS04NdxJjGsjLToUgJ5KX0v7sX7THkQT9zcnET1BfSEJ+2OM7BFV4cW+/1o0+XDQSJOjd31KDdxnEsdPcg3nocfZ7mQ39ZX422XOzD8bJ2N9qTFK5wE/rCooOE/4/hPKFgNkERxNSGtxrHwopOfc4lhB7AyczXNgDYqp1oo2Y7jo/wOfOhLNUX3Y82qkUIuQkcZANUf9Q46pDKpxCxlTm41kwWXjGIxokkhWo3QcfB5p4GxMeHwYMyFWNH00cFI6hXk4hFhYZ4K4kU4FIEfIiQkSpPlKUcvekhxuDeQ5DVDEfQv0VwDFqZTMJ+Fs/DOgl8KB0am7ajrlTCbsswFkm0ou8gJzxJWp2yEGUkYmvTRwSehC2rUTomPLoRamyYO/aSYlJrHgpvsrCCulaXYZ8FZU9YVOiF6FcTQTqANwl9UWNB9xLjg3CZxLQsBDHdGsR4659GdEYIMYChlSDCd+HHqV4QoShJglJ6IUI/kUBoRaSMjidiGE6KWCnhU7yYZmoIrqcL/Zu/A9v24PJEaOgmrC6HWnBOUIllNEkcEzahEvMoNW+pUWzEdxDj2MSefancQkbp0Q+uQN9BmBk1BytUSEDNjYQtm0SaFISKUTKNZXQ/Cq4HMC0RIvxJnIihUsQ8lOyeDGMP3UePhaOV4BlAm/e3Ylwly61c8+2MdM2Z8gcB3rt2TxdMoLuHNbfECDAC2UfAdQI9+13gGvMNAQ5C8k0jo5OHCXQHLybQbSyYQHdsggl0Gwsm0B2bYALdxoIJdMcmmEC3sWACPSmeYALdjieYQB8yCibQbSgMJtAdR8EEuoUFE+iOSVBkMLWyZwI9PWbURxVMoNuYMYFOjSgnjQn09PhM9r/y3rV7GjyaQPeHiC+3ciROdKBLbOAT6DlCd3i1//jHP6yE0047TQSDeBiOEiISiYhVq1ZZfzrvvPNckZMbYQRGiwAT6KNFjPOPiAAHISNClNcZmEB31MMEuo0FE+iOTTCBbmPBBLpjE0yg21gwge7YBBPoNhZMoCfFE0yg2/EEE+hDRsEEug0FE+hJy0Im0C0wmEB3bIIJdAcLPoE+uC6nbk7hE+hDhsIn0PN6qzHvhOO9a/dUwgS6e1hPZEvyeWb536ZNm8TChcQNRYRwu3fvFnPnzrXKJVLc+nV0sfp6vIlzvP2Wt2VLWfjHCFAIMIHOdpF1BDgIyTqkrlbIBHrShjdf4W5vePMV7kNGwQS6DQUT6I6fYALdxoIJdMcmmEC3sWACPSmeYALdjieYQB8yCibQbSiYQE9a5jGBboHBBLpjE0ygO1gwgW5jwVe4OzbBV7i7uk14TDbGe9fuqXUYgf7hbwrXT6D/+b+szjY0NIjaWnwm0j0kju2WJAkuiejNmzePmkCX5XSdfuL0aNRkO9n+jab9bLfN9eU/AnlDoLv1lUr+q2TyS8hByOTWIRPoSRveTKDbC3Um0IeMggl0Gwom0B0/sUNLcQAAIABJREFUwQS6jQUT6I5NMIFuY8EEelI8wQS6HU8wgT5kFEyg21AwgZ60bmQC3QKDCXTHJphAd7BgAt3Gggl0xyaYQJ/c+475ID3vXbunBSbQ3cN6IlsaC4G+c+dOMW/ePOHxeEQsFstI/E9/+tMZ5Rttpoceemi0RTj/cYJAXhHobnylcpzodUK7yUHIhMI/7sZPuOc+qMNUqXvBhBB1Yci7pK4R0gxTgbTWcAGkNa+bBmnVq3G3tW0Rfm2mReiuz7h/M/xB7+2FNMXjhTRtzkxIS5Sh3P21+LaL4UF51ASmBVvoAEF7fSPqIcOv8SgktMULILnjFHx3iNqomfLKPhLc2FzUV9+MAOQte/Y9xLG9HdMuXg5pXSf4MB82IXQqLcWTO6aG3dF9aON6IdqeUhiHwsHCKKRdNGMnpC0v2gtpXgW/sCxQsT5ZcP0A2mNTBHUYN3F8BDWUu8qH40AnylLKp8Z0KuejC5SHIuDbooWIWQnaXlu8CPJR9fUk0CjmhQ6TYkZMHLAhFcdmqTYA5fdHKyCtxIP5arydkC9OtNulhyBfH2XgQog3OuZA3n1dUxCfGPo3RUGbv3XBa1CWkjtiEP6SqE9WNt2D/e43cVwHFLTR7+69AuRp+0sd9u88tOWrT9gA+VRCRspOZMHTi/ZA+bd6ToC0ukAHpNX6MC2goD116GjzlD2FNNonVHt6oO0BA7GNmKgvyqa29tQg3hG0x5oCbHdFCfq3pw8tJsdboRexONRXDHl7w35IC/cSzr4fnbrpQ/8dmIKBQkGA0EsL+hgpSOkaxLawCX24tw/T1Dh15yoBDxVumUSiinGVrE33IxaBN96FhvR+9FGeMvQdkWWzoSwR0tFvqFIy6nQ8qRH4qFHEkSQOdAJbAjMlkYK9TzV5JaWbXiJwEEJobeh7zHb0eXpXF7TiKS9HbGsqMY06YaER+ldomxAG9tsIoE9QI+iDSWgIeSgSw/AhZp4uXDcY7+4imzEzjHmp+N1MZNiXDHSfLotWUoL6qp+OacQHuYLQIWmjhP5EKl0f1bLaT88doh/1YHajX6fWSxQe2qL5mEyMQb0I/bfpwRhRD9DjzSR8ikL4FIUc/ynWskdJnijEeJAKjQcqaRmjpSnG4VHtePsRMi2SmYyUH/T24zgPthJz7VmZvUcqpYvhtCziU9AvU/OtpwNxLDyQGTaeFGt6LYr4+Pqw30Vb2nAMelBf0enYQZWYJzy9iKOxbhth85nPMZ5KXDuEifmWHG9h3FDwHcLxm9g5vmtotQUnIo4+1KtehLFRbAqm6T4c6/FQZjaRYokhqLGpxtFODC+2Q+3LkP6EOAypEW1IsF576ivjnFW4uNsI8N61e4gzge4e1hPZ0lgI9BdeeEFcdtllory8XLS2tk6k+Nw2I5ASgUlNoO/atUuceOKJo3ongW0h9whwEJJ7jHPZAhPoDrpMoNtYMIHu2AQT6DYWTKA7NsEEuo2FxgT6kFEwgW5DwQS64yeYQB/Eggn0IaNgAn0wnmACfcgmmEC3oWACPf1Knwl0Bx8m0G0smEBPjreYQM/lXuGxVjfvXbun0WSsl37I/Svc1/+Fr3DPhbYPHDgwrNpZs2ZZV7g///zz1rvm6X7RaNR6c/xb3/qWWLdunTj33HPFK6+8kgsxuU5GYNwITGoC/Z133hFnnnmmKCoqEt3d3eMGgyvIDgIchGQHx4mqhQl0B3km0G0smEB3bIIJ9MENb+oIYgqnxSfQbWD4BLpjIHwC3caCT6A7NsEn0Aex4BPoQ0bBJ9BtKEw+gZ52ScQn0FPDwyfQk+L3RGanu/kEuoMZn0C3seAT6I5NUE+P8Al0Bx8+gT5RO5hjb5f3rseO3WhLMoE+WsQmR37tqFuWzMFbgCSJPtrfgw8+KD7zmc+MthjnZwRcQSDvCPQtW7aIBQvwquGj0ejv7xe33HKL+MMf/iCWLFlifa3Cv/xAgIOQ/NDDWKVgAt1Bjgl0Gwsm0JM24PgKdwsMPoHu2ASfQLex4BPojk3wCXQbCz6B7tgEn0AfxIJPoA8ZBZ9At6HgK9yTYkzqmQG+wn0IIL7C3YaCT6A7Y4ZPoNtY8An05HiLT6CPdR/weCzHe9fuaX0YgX7VBJxAf5pPoOdC2/LK9vH+AoGA+OIXvyi+//3vj7cqLs8I5AyBCSPQ6+vrh3Vq37591jUPNTU1wuvFd9mSM8trHlpaWoQxuKD85je/Ke68886cgcQVjw4BDkJGh1e+5WYC3dEIE+g2FkygJ21uMoFugcEEumMTTKDbWDCB7tgEE+g2FkygOzbBBPogFkygDxkFE+g2FEygJ8WYTKBbYPAV7ul3B5hAd/BhAt3Gggn05HiLCfR821/MZ3l479o97TCB7h7Wbrb08MMPD2vu05/+tMXtfec73xHTp09PKYrMI4nzadOmiaVLl4rCwsKciS35xra2NhEOh8WRE/KpGjvvvPNyJgdXPLkRmDACPRtfqUjozzjjDPHCCy+IgoKCya2JY0h6DkImtzJP+o/7oAPxFHNZbGYU8s6oaYe0vqgf0hIvlkNazYtYNlxbDPl6ZuFHNlP/tJMEPtHSCumeygqUZw5O7uGpAcinB/AqGkUnmiZuCiw4GEZZdjfScre2jdmQ1GAQyoYvXoRpZRqklW3phTT1YAspy8CymVhnhQfrXId6NXcNfyvHKnTSHCjbdEEJoQMUJ05MAfGKBI2hz4B0xYNp06s7Id/sog5ImxXC/pV5+iFfSMXxEjHRlut9NN5v950AdfrVFH08KmfcRF1r1A4cgdg0bxekduuhjO1zwPBB3pZYEaR5iYG0MNQE+V7vwreUpgdRxhMCh9GWBX2FZ5GGY/NgDH1UhacH6twbrYK05QV7IC1ioK73xLBsC3FnZgdl4EKIrR1TcbwFBiDtE9PWQFprAnVwWnAvjjeBPo+yp3Yd65OV1XlwfHQYOKmUqij3i70ngTwlHsy3vmcG5Lup+h+QtjGMPmtfBPUsCwa1OJQ/FEF/tKSoAfLNC6DdUv1r1xGHHdFpUF+1h36maIYX/VHERB/cpaODfDdSA+281T4b0jrDONZnFqNvPGvKbii7qnsW6ScKPDFIb+gvRRvtR3zamzEm0PrQvxl+YqyjmxfCQPsu20J/SR9swwo8EUxTY0RDhDjK4BV3yR3XBtCnJwrQd1BlZT3+TfsRcwMb17vRl0UvWQJlPWEqwCGa8CJmhoeIlygdWCcqUUYtgm1Tb0RTZQWBreEj5sEwMYcSJKbpx7ISBeqKbKUZfV6iHdOoweGZjuPSqMKxIcZ52kNtxTnTLMCxbgaJj9qJKxlNIo2yUSWGeJu7CJuVxHoY52XSoUxgorp0IbZO6Mbwov0oxMly8g10wpapLpNjI55i/MYzix0TuzEmGA/cyumLMcYI4Jyl+1OcZiLsTCXGa6bPP3gO49wanVWWURfjhSi3LBgrRNm1GPo3k+iiqaHP1DGEFhpOoaJ4N647DMIvty+i43ctgjJGylAeYjkhVAyXhLcPYfT1Yxuk/06hAYUwW2oOLtiFMQp19bjShWtesxvT9AyfiqT2F2RXzAiu/wYuwBs3PQM4Xv2bcb1M7W1kZLQpMnmqcS1i2fI83BsxCZtKhNC/xQvQwBPEHko8lFmckOGS1eohtW9FPUegoVqEH01HBNsxcPH20b711WfuGI8quOwEIMB71+6BzgS6e1hPZEuS65Pk+ObNm8XChUSc7JJwO3bsEN/73vfE008/LXp6cN1LxtKKIhKJzGJkl7rBzeQRAhNGoMuvUpJ/8qsVOciuuuoqUVpKbBQMZk7+SuWss84S73vf+6xy/MsfBDgIyR9djEUSJtAd1JhAt7FgAt2xCSbQbSyYQHdsggl0Gwsm0B2bYALdxoIJ9KQojAl0C4xUm+BMoNu2wgS6M2aYQB/Eggl0xyiYQLewYALdMQkm0Mey2zO8DBPoDh5MoI/fniZbDbx37Z7GkrFe9kH3r3Bf9398hbsb2n711VetZlasWCGCxMEuN2T485//LK699loRiURGPHGeLI/kFnU9s4/H3egHt5FfCEwYgX40DPnylUp+qWdySsNByOTU2xGpmUB39McEuo0FE+iOTTCBbmPBBLpjE0yg21gwge7YBBPoNhZMoCfFg0ygW2AwgZ5+jcAEuoMPE+iDWDCB7hgFE+gWFkygOybBBPr4952YQHcwZAJ9/PY02WrgvWv3NMYEuntYH88tNTQ0iAULFoiBgQHrCvnbb79dhEIh8bnPfc46fPviiy+Kzs5OsWbNGvG73/1ONDU1iXPOOUd8+9vfFpqmifPPP/94ho/7ngaBvCHQj7xhftttt4mKCrxembU4eRDgIGTy6IqSlAl0BxUm0G0smEB3bIIJdBsLJtAdm2AC3caCCXTHJphAt7FgAj0pymIC3QKDCfT0awQm0B18mEAfxIIJdMcomEC3sGAC3TEJJtDHv+/EBLqDIRPo47enyVYD7127p7FhBPoVE3AC/Rk+ge6GtuUJ7jfeeMNq6pRTThElJfgEXrIcXV1dYtOmTVZSNt4fl4T5j370I1FUVCTeffddUVNTI7Zu3SoWLVpkEejJJ8zlm+g33XST+N///V9xzTXXiEcffdQNiLiNSYpA3hDokxQ/FptAgIOQyW0WTKA7+mMC3caCCXTHJphAt7FgAt2xCSbQbSyYQHdsggl0Gwsm0JPiQSbQLTCYQE+/RmAC3cGHCfRBLJhAd4yCCXQLCybQHZNgAn38+05MoDsYMoE+fnuabDXw3rV7GmMC3T2sJ7KllStXissvv1yUl5eLAwcOjHiNuzwpPnPmTNHR0WGdDr/wwgvHJf7SpUstQv6OO+4Qd999t1VXKgJd/s0wDOu6+fXr14vHHntMXH311eNqnwsfuwgwgX7s6nbCesZByIRBn5WGl916H9STCNFVR6dgesku3CX29RmQsWjjYSzs80Ja8wWVkFb10DpIMxNxUkht+jRIj86thrSBKmybqpDa/FWIZ1J8PQkoHtzeDGlGcwsptxGLjVmfWlER4hONYttxlFHRNMinlROKloTZZXMQ22IF0iKoQjHzb32Qr68ODa23VoV8OmGPkUq0O2VqmMSwIIRYFAcjkHdpWSOkzQy2QVrcRMz6EgG0McOHY8vAsuU+xEYW3NlfBeVVgf32a6jXIg/2r8SD+FR5e1D/AsevLlAvsiCFRSPhKHoIfE4I4ViY60c/8VbfCSBjR6wA0hYUHIK0Em2AtgkVbWL9wEzIe0IA5QmpOFZ7ddT/3igOhLdbZ0EbBV6sr66gk5S7nrDHpcF9kHdlz2JIK9ZQ/xXeXsg339+EY9BE/e+Ioq+VBau93VD+cBy/RF4UOAj52nXUawGhq82ROigbUHBOGDD8kK8lXkxi2xNHHXpUdPazAu1Q/uRgA6SVq/3Yto6+ek8Mx3mNl9b/LC+2HTE80M626HRIW9uLtre7txzylfnRTgIaYtuXQGynBVH3soG6QAe00xTBeea9Xhwz7x3E+VtrRF0F0FULDzH8qTk91EK/febtR1+oxjDN9OA8SOVTX8VYhjJGz1yca/USOjDTeol5L4z+3+zogqaiZ8zHOSZO9E/F/lF9NjTMR711LhtVdZzLtDChB4P4EoEATaFIRyJNa0JbFEQsKmJ0jCkIbBPtOC5JJ6OgH6ViMHXubChuBomYNQXRqragro1WHCBqPc55pg/9iaDaIYhNQbwhqLShLInDdBxMYuZComcmzidGawqdzkM/KlTUq0ngo8TRvhUDx5tIYBpl32QbVH0pMDSbML7RezEmGI8KtAUnQnGjGP23HiTsTgih+xBbNY4+QSUw8+5vhbYTBzDu8MyfC/kidelPTyUXoPyeQFco9ACxvvFhxkQQ07Qo9rl05Q6QWwmlWMATSozPwvk2XIXzupogfHUEbTS4GbGNz5kKLcdLcG2kEPOOLBjcguuyRBPG+qoP61SJtbExgEGBSayNqT0GxYM+WKsmFrxCiP6ltagbAsdgI443ffP2MQ85CgdlDvqs/rmlZBuJILHWI2w5Woz5iFBUhDF8S/lR3dECEUsWOws1tlD9gliWCT8x/Yda0b6DLbiu9gxgmhTnpVe+PmZ9ccGJQYD3rt3DPRnrUz/g/gn0tX/jE+huaFue6H7ooYfErbfeKh544IGMmvz85z9v5ZXXrP/85z/PqEyqTFOmTBE9PT1CvoN+5ZVXWtm2bdsmTj75ZOsEejQaFR7P8DhTXuV+4403WsT/M888M672ufCxi0BeE+j79u0TbW1tQl6rYI7w9XU2rno4dtXsbs84CHEX72y3xgR6ekSZQHfwYQLdxoIJdMcmmEC3sWAC3bEJJtBtLJhAd2yCCXQbCybQHZtgAt3Gggn0bK9qRl8fE+gOZkyg21gwgZ7kq5lAt301E+hDRsEEujM+mEAf/Zw70SV479o9DTCB7h7WE9nSkiVLxObNm61r0T/2sY9lJMqTTz4pPv7xjwtZdt26zD4wT1Wxz+ezrmlfu3atVZ/8SW6xvr7eItBbWlqs0/HJP5n3tNNOs657l3bKP0aAQiDvCPQdO3aI733ve+Lpp5+2vhrJ5CcHQSJBfwWYSXnOk10EOAjJLp5u18YEenrEmUB38GEC3caCCXTHJphAt7FgAt2xCSbQbSyYQHdsggl0Gwsm0B2bYALdxoIJdLdXPdgeE+gOJkyg21gwgZ7kq5lAt301E+hDRsEEujM+mECf+Dl8tBLw3vVoERt7fibQx47dZCpZUVEhOjs7xapVq8Spp56akehHCOzKykpx+DBxU21GtdiZZB3yOnj5DvsZZ5xhpfX29lpvsUvu8K233rKubE/+vfzyy+Kiiy4SknyPRPDmtlE0z1mPYQTyikCXVyxce+21lsGOdOI8WSdyEMgvTPiXHwhwEJIfehirFEygp0eOCXQHHybQbSyYQHdsggl0Gwsm0B2bYALdxoIJdMcmmEC3sWAC3bEJJtBtLJhAH+vqJXvlmEB3sGQC3caCCfQkX80Euu2rmUAfMgom0J3xwQR69uZit2rivWu3kBbWyd66OvuZnFMv/4bwh+jnI3IhUXSgS6x99rtW1Q0NDaK2Fp/WyEW7x2OdoVDIuib9nXfeEcuXL88IgjVr1liktt/vt26gHs/vnHPOsUjyRx55RHzqU58aqmr27NnWm+x33nmn+OY3vzmsiW984xvWe+lVVVWiuRmfXR2PPFz22EEgbwh06cQWLFggBgYGxPTp08Xtt98u5MCTbyBIgvzFF1+0vmKRA0u+T9DU1CTkwPj2t78tNE0T559//rGjlUneEw5CJrcCmUBPrz8m0B18mEC3sWAC3bEJJtBtLJhAd2yCCXQbCybQHZtgAt3Gggl0xyaYQLexYAJ94tdQTKA7OmAC3caCCfQkX80Euu2rmUAfMgom0J3xwQT6xM/ho5WA965Hi9jY8zOBPnbsJlPJmTNnWh9LPPzww+Kf//mfMxL997//vbj++uuzcoW65BJ//OMfi9tuu0389Kc/HWr/C1/4grj//vtFUVGReOqpp8T73vc+629PPPGEuOGGG6yDvB/+8IeFvE6ef4wAhUDeEOjSyH/0ox9Zxvzuu+9aA2fr1q1i0aJFFoGefMJcfpFy0003WW8qXHPNNeLRRx9l7eYRAhyE5JEyxiDKOVffC6VCDQNkTWo4CulKP6YJ4isys3r4uyOyos5F+BVi2Yu7oY1ESxukecqmkDIaM6ohvX9WEdYZULAvZmYAKsQFGN4+TAy9h3Kbh1vJRvS+vswaJ3KpPh+kGrFYRvVRm7fGmYvIsl0nBhHHIOKYCGDxwiYDEiNTVKI+LBsjPlZN1OOXijWVXaTcHuIriOoQ4l0TxPJeQtkVXizrV+PQdmeiANK6E4hhoUaMISFEiQfHYZ+O4KoCDbc1hjZPkVglGrZRSqT1G34S214D5WmM4tiMGh4oP92PeM/04ZhpiJdBWaqNtmgh5FtWfICUu8KDT8Y814F2v6JkL5QvUFFfvTrq9fXOE9DmE4jD9TVvQb4aTycpd0DF52t8An3PtxuugvK7O9AHzytHf/T5mpegbJGKV1u92j+flLExhvqvD7Rk5I9ebsc6l5Xuh7Lz/IcykrHLCEG+rWH6C/TmaDHkrfThWF8QbIJ8Uz1oy6Uq+qjtsWlQ1qugTud46XmigMj7XrwC6nyx+yRIOzCA46jQg7Y8nfCD1V4cL08cXAptnDSF/oJ7dgj7EyD68m4/4rO2FfXVfgBtLNCkgTyBDjQ7bx/6S0+Envy9AzhvqVFMoz60Iw0ep0s6G0VYROmbt5QYpmt70UZNE+VOnDQL2jd8OC9TQpoKFUMhjkoc203lDBQDy5uezORR9MzaVsM4V6vt3SBS4mBjRj4rF5nUIM4naiX6b6O1nWzeiBAxBaF/2vgQbzWA8z8lj+hHn5dop2XMBW5H1+mpRN8oCjAuM0qItKCXFFGNEU/ImZTt4bhUEsRY0Ik0A9OMQ3i9peJFGY1+ev1mJtDus64DBW1HORXnIiOAvtrwYpqUT6GwJca6twnn4MRujN8ytXmR6XhJ8REMtbYSGvZRIdZvSinGImYIfYLS3QvdMadg7K+00vGk3o4TpEn44NFgcbRAma4xtdXbSdWQdkvYmTZ9KmJB4KN3E89FErqm5NamYRvReZgmBfE1o24EMdTNfQ04B2d6Eo/AIX7JMqgvVozrDp3YA5EFBypxXifX4AXo8/QiIhYpxr0II4F+wuxBX+bpo+f+QAvKqBLhkUnEW8E2lLugmYgJiHhLSbFH9OKrX8+6K+UKc4sA713nFt/k2pOxXv5+90+gr3mOT6C7oW357vmf/vQncfHFF4vnn38+oyZlXnmN+hVXXGE95zye35Hr2CWnuH//fuvArfzJ0+cLFy4cOuFeVlZmnZTv7++3bsCW+V577bWha9/HIwOXPTYRyBsCfenSpWLTpk3ijjvusK5OkL9UBLr8m2EY1hUP69evF4899pi4+uqrj00NTcJecRAyCZWWJDIT6A4YqRZHsCHABPoQJAkm0C0smEB3RgkT6DYWTKA7NsEEuo0FE+iOTTCBnjp2VJhAHwKHCXQbCibQR7/WYgLdwYwJ9DT2QxCRoyGNKbKVCXQbbybQk+yOCXQLDCbQRz+XcYnsIsB719nFM11tTKC7h/VEtvTHP/7RujpdHoS95557xJe//OW04siDtPJArcz/29/+Vlx33XXjEl+S4XfddZdIJBLi5ptvFjNmzBiq79lnn7Weje7qGv6hpbw6/mc/+5m48cYbx9U2Fz62EcgbAn3KlCmip6dHyHfQr7zySgv1bdu2iZNPPtkaSPLLEI9n+BeT8ip3aeCXX365eOaZZ45tTU2i3nEQMomURYjKBLoDChPoNhZ8At2xCT6BbmPBJ9Adm+AT6DYWfALdsQk+gW5jwSfQR4gH+QR6WoD4BLoND59Az866igl0B0cm0NPYFBPoQ+DwCXQbCj6B7owXPoE+aBN8Aj07E3Me1MJ71+4pgQl097CeyJYkgb1s2TKxceNGi8uT16L/27/9m3Wy2zt4W5Ikt+U75ffdd5/4y1/+Yokrub8NGzZYZXL56+joEI8//rh1YFfKMXfuXPGJT3zCekqaf4xAOgTyhkD3+XzWNe1r164VS5YssWTet2+fqK+vtwZQS0uLKC8ffl2dzHvaaadl5Z0ENpPsIcBBSPawnIiamEB3UGcC3caCCXTHJphAt7FgAt2xCSbQbSyYQHdsggl0Gwsm0EeI4jLcH+AT6A6OfALdxoJPoI9+hcQEetI44ivcUxsQE+hD2DCBbkPBBLozXJhAH7QJJtBHPwnnaQneu3ZPMUCgB4l3GXMkTjTcJfgK9xyBS1Qrubyzzz5bHDp0aIgQl+S5vDZd8nvt7e0iHrefzJCEu7xu/fXXXxezZuFzYu5JzS0xAukRyBsCvbKyUsgvQd54442hNwd6e3tFSUmJNcDk1ynyyvbk35G3DST5Honge5ys/IlBgIOQicE9W60yge4gyQS6jQUT6I5NMIFuY8EEumMTTKDbWDCB7tgEE+g2FkygjxCZMYGeFiA+gW7DwyfQs7PCYQLdwZFPoKexKSbQh8BhAt2Gggl0Z7wwgT5oE0ygZ2dizoNaeO/aPSUwge4e1vnQkjwEe8stt1hvmkuSnPpJru8jH/mIeOCBB0RVVVU+iM0yMAIpEcgbAv2cc86xSPJHHnnEei/hyG/27NniwIED4s477xTf/OY3h3XkG9/4hvVeuhxozc3NrOY8QYCDkDxRxBjFuLzu/4OSiSZ6fCkq7v5SG31KdSXUeeiyaZAWqUChZ923GRL1vn5I00qK6Um5fAqk952E8iRCKpYn5nmFeLOMbJgo6+3Hx9J9XTGyuGffYUg3w8SHQkQwond3j1H7QnimTYWy8TmYJjP11AdRNz60CWP46xtWGe8AAhQrxLK6H7sSHX4ZiZUhVhuFjKXlaCcyU9Brf+2Y/CsLDEDazMIOSAtpWDaoog4NE/vSk0C8VMKguuIhUn/vm/IupAcUlGf9wEyUm5CxwtuLmGmIQ68egHzdOi1jN9lH1PWJgUNQ52J/I9qTQBx3x3H8bujHPu8ZQIdS4aNt4pTCA9D25v7ajMbRwTD6mJ3t2HbIh7r6xlx8fqZYxXH+1+6ltJ9Q0KfcWvYG5N0Yq4a0v3cvgLS5QfQ7c/3o/1sS6G/f6j2BlLE/gYP4tOK9kHdDn/M+1ZE/tkYK0U5K0E5WFOyGfFUa2ne/6YN82yL0dV0DBso9YGD5Ei0Mddb7WyCtzoP+ZF8cnRn1kc4sL5aVDWgCx9ab4Xpo+8nmZZBW7EWfWeLFvpxUiHhXehDb/THsy7beGtImZgSxP9N8w98ikwUpP7OpB8fl2gZMMw+gjwo1oz/x9qGIvj56ke/tw/GmYpJQYxkGClQzBKlOnUBX40TDcqP/9Q0Z+S0qU6bzv+HVoLjt3KtRAAAgAElEQVRCxCJKgsAhxbV8pkbEkxniSJYNJ0BGNYo+WOlFm0/sb0B4zAx1Omb00xSkCD0q+3hlHCdxmIuuZ1Knpxo33MwK4lSTSsT5hD1S9pRKDkUnBrFOOQVsW4mgPZrNOHfovehvM8FlsuTRSkpAVKMfY1FrzitDvSZaWnPeVYpAVQsxPpGCKAGMHfT2TpCR+oghU6JWFOB6QhiELUZxnjcqEG8pnNpI4FhAxPqEfZu9OJGaxFpdCaLcSojoS0kRqVOzGWU0B9BW1FLso96BMQalA43Qq3ESxlW6H+fBjOd+iXcM5yixZSeOhRi9T5CJ0ccvXQ7ZuuZiHBvGZZVVLlpJ+LJClLusHPU/JYh6KfahPR7qw/XE4TZMU9qIDQEhRKgRY4fQYRwL/m7sixbFfNSHe7427IuxfhupgheMxzNRDefJIwR479o9ZSRjfdpl3xB+l0+gr175XauzDQ0NorY2s30e99A5dlvasWOH+Nvf/ibWr18v2trarI5WVFRY17xfccUV1hXquf5JAn/Pnj3WoV35kyfhj9x2neu2uf5jB4G8IdBvv/128eMf/1jcdttt4qc//ekQwl/4whfE/fffL4qKisRTTz0l3ve+91l/e+KJJ8QNN9xgnTyXbyo8+eSTx45WJnlPOAiZ3ApkAj1Jf0ygW2Awge7YBBPoNhZMoDs2wQS6jQUT6I5NMIFuY8EE+gjxIBPoQwAxgZ7GVphATzuQmECf3OtOJtAd/TGBPogFE+hDRmEwgW5hwQT65Pbz+Sw97127px0m0N3DmluyEXj22Wet0+2vvPKKGDjqg7tQKCQuuOAC8a//+q/i8ssvZ8gYgRERyBsC/ch17PLtg/379wtNs7/qlKfPFy5cKMJh+4SA/FIkGo2K/v5+6xoIme+1114buvZ9xB5zhpwjwEFIziHOaQNMoCfBywS6BQYT6I5NMIFuY8EEumMTTKDbWDCB7tgEE+g2FkygjxCuMYE+BBAT6GlshQn0tAOJCfScLgtzXjkT6A7ETKAPYsEE+pBRMIFuQ8EEes5d8XHbAO9du6f6YQT6pV93/wT689+zOssn0N3T+US1JPnCa6+9Vvz1r3+1REh3hbz8+1VXXSV+//vfi4KCgokSmdudBAjkDYEuDfquu+4SiURC3HzzzWLGDOcqT/nViDT+rq7hVy/5/X7xs5/9TNx4442TAOrjR0QOQia3rplAT9IfE+gWGEygOzbBBLqNBRPojk0wgW5jwQS6YxNMoNtYMIE+QjzIBPoQQEygp7EVJtDTDiQm0Cf3upMJdEd/TKAPYsEE+pBRMIFuQ8EE+uT28/ksPe9du6cdJtDdwzrfWmpsbLSeXZanwJcvXy6CxJMu2ZLZMAzrZPkbb7xhEeder1dceumlYsWKFaK6utpKk++zr169Wjz//PMiFosJ+Ra7fFZanlSX/+YfI0AhkDcE+kjqkW8VPP7442Lr1q0WyS7fSfjEJz4hpk+n364cqT7+e+4Q4CAkd9i6UTMT6EkoM4FugcEEumMTTKDbWDCB7tgEE+g2FkygOzbBBLqNBRPoI0RtTKAPAcQEehpbYQI97UBiAt2N1WHu2mAC3cGWCfRBLJhAHzIKJtBtKJhAz50PPt5r5r1r9yyACXT3sM6Hlnp7e8W9994rfvOb34impqYhkTZv3mzdMn3k98c//lH86U9/EiUlJeLBBx8ct+jyyvbPf/7zFhEuifNf/epXKXlDSezLA7zPPfeclf9//ud/xL/8y7+MWwau4NhEYNIQ6Mcm/MdmrzgImdx6ZQI9SX9MoFtgMIHu2AQT6DYWTKA7NsEEuo0FE+iOTTCBbmPBBPoI8SAT6EMAMYGexlaYQE87kJhAn9zrTibQHf0xgT6IBRPoQ0bBBLoNBRPok9vP57P0vHftnnaSsV5xiftXuK96ga9wd0vbu3btst4V37Nnz7Dr0yVJfTSBLp9wPuGEE4Q8Of7qq69aJ8HH8zvjjDPEqlWrrBPnb775plBVNW11uq6Ls88+e6jM22+/PZ7muewxjAAT6MewcieqaxyETBTy2Wn30jO/AxWZ72wiK6cW+saZiyBvz+wgpIUr8GqUsvcSkM/3zCpsm9hMVH0+WkafF/tTXwdpfXOKIM3wEte3UDe6ZLgJTgloprghpnRTB2RX+qNYRRTT9NZ27HMiDmkqcXWOuegEyBetRP3JTJFSjcAMRTQ82EnFQNB0P+ZLEE1Hy7CNWG0MEssre0ib8Gk6pPs1tL3y4ADkm12A2OqEEsM62l3U8EB9B/qmQNonataSctf7WiD9pd6TIM2rYP/CBo6PQi0CZWf4sH+GQL3ETOyLrCygoJ116PiW0MJAI+pL7Ye0xkQppPUaaBQdiULEljCUrjhty9X+Xih/YqAZ0n6+5zxI6+gJQdqZM/dB2j9VYTDeRWDzzdUfgrIFa2i5Sy4/BHkvrN4JabU+9CeUkVG6mknYRJeOfT4UQ13JNg5FSxDb0GFIe7d/KqT1EPqaU9AK+c4o3AVp84nxQvV5awzblfmK1TBkb9dxnjgYQ4d0gh9tZ64P5W4g7LtAQV8204P2KYU7rAdAxpW9OAev7pwJ+eoL2yBtun/4U0kyw8nBhozGaguBzYvd6J9kZZQvrA+iPCUa+mAK75WNC0DGlr2ol2ATzln+TrSKUKtBmYrQYjhvaRHMqyYwTdGJQIH6SE+n2z5aIG8T6krmSexB30N2hkik4ihz6XzIaWq4EUER4J5O1J++Ff2TbEArQJ8iiFhNL/SDPAqBmdaN49dsQRszevqwPhXnPLWkmITRjGAMphDxqNGLY3g8xEimOh1NPjVE6CCBsZFrchOxvmfOLOwSYY9GIfpGYWQ2tgSRTdExrrIEoa55pMY/1XYYY7DEgYOjUdmky6uVYcwriPWASWAjO2tEETMSBGqd6MW4NVNbVjwY0yuLTySbNtZthXTqIwEzhnM9labV1aIP7sH1jdmPPk+trsCyJRgvW6Ycw7EercX4jZrLEgGcW0O7cD1BT6zEfOJJsdlNjE3jvd1QrVpErOkJH6xNrYayRhXGsmojxm9mdTmUjVbT2Bp+7E9oO9aZ2L03q2M6/JHTob5wGeoqgmZilRuYTsQyZTjnVZXj/DanFOfbIg+O3/YoYnY4TKzpDlSS2IR249gsaMTgKnQY7VuLY/9Mwqf7Ogm/swXXHVLAleFHsqpDriz3CPDede4xPtICE+juYT2RLUWjUbF48WKxc+dO603x2267TZx33nnigx/8oHXK+2gCXcoqT4q/9NJL4stf/rK45557xiW+PMne19cn/vCHP4hPfvKTGdX12GOPiWuuuUYUFRWJ7u7ujMpwpuMPASbQjz+d57zHHITkHOKcNsAEugMvE+g2FkygOzbBBLqNBRPojk0wgW5jwQS6YxNMoNtYMIHu2AQT6DYWTKAnxZgEgZbTAH+EyplAHwSICfScmSET6A60TKAPYkF9kMUEelbGIBPoDoxMoGfFpI7JSnjv2j21DiPQL56AE+gv8gl0N7T93//93+JLX/qSRZ6/9tprYsmSJVaz8iR4KgL9vvvus8hzeRJclhnPr7S0VMjr49esWSOWLl2aUVXr168Xp556qiguLhZdXfRH6hlVxJmOaQRcJ9APHDiQE0BnzJiRk3q50tEjwEHI6DHLpxJMoCdtbvIJdAsMJtAdm2AC3caCCXTHJphAt7FgAt2xCSbQbSyYQHdsggl0Gwsm0JNiTCbQ0y9/+AR6Pi0PsyILE+gOjEygD2LBBPqQUfAJdBsKPoGeFXfLlWSIAO9dZwhUFrIxgZ4FECdBFeeff754/fXXxde+9jXxX//1X0MSpyPQ5enzSy65RFRVVYnmZrzJbzTdlkT4hg0bxN/+9jdx2WWXZVR05cqV1pXzknBfu5a+DTSjijjTMY2A6wS6puG1QeNFWH7FkiCumBtvvVx+bAhwEDI23PKlFBPoSZubTKBbYDCB7tgEE+g2FkygOzbBBLqNBRPojk0wgW5jwQS6YxNMoNtYMIGeFGMygZ5+6cMEer4sDbMmBxPoDpRMoA9iwQT6kFEwgW5DwQR61lwuV5QBArx3nQFIWcqSjPXpF7l/Av2dl/gEepZUmbaayspK0dHRIV5++WXr6vYjv3QEuiS8ly1bJnw+n4hEMnyuJ4UU9957r7jjjjvEP/3TP4lHH300oy5fe+214o9//KO4++67rbL8YwQoBFwn0OWgyfZPEuh6qrfJst0Y1zciAhyEjAhRXmdgAj1pc5MJdAsMJtAdm2AC3caCCXTHJphAt7FgAt2xCSbQbSyYQHdsggl0Gwsm0JNiTCbQ06+HmEDP6/XiWIRjAt1BjQn0QSyYQB8yCibQbSiYQB+Ld+UyY0WA967HitzoyzGBPnrMJmOJQCAg4vG4WLdunTjllFOGupCOQH/77bfFWWedZV37Lq9fH88vFotZdclr2TMhxH/4wx+Kr371qxaB/+abb1okPv8YAQoB1wn0hx9+OCeauOGGG3JSL1c6egQ4CBk9ZvlUYsF/3gfi1N39Diki9V5iYskJkDde6IG0/qmYVrI3CvnUV9aNCx7VH8A6S4ogLTa/FmWsxbIm9Q2QiSJS+QzsslB1unul2/vgDya1yaApkM/7bgOWJT4yUqgbQYoKoawxpYAUsmthCeYl+mh4UEbFRNB0H+aLE01Hy1GcRC1+qVhUEiblLgsNQHqCUJhHwYcwS/zYTmUAdRXWvdBGmRfbrQl0Qr55/kOk3LpA43unD8dbUI1BeY3oS6GGfanx4ps/5RoGsaogjF4IYQjUIZW3WMW2S1Uc/8062mOLjuO3Ww9Bn9/umQNpRR76i1ZNwf6cW7QDygcUxNar4CD2CkxbE66H+k4O4Fhd2bMY8jWGcazJTCVetPFSIm22vxXqDBF4tyWKId9MH5Yt1/oh39bodNJu90UqIH26H+1+wMDFSifhALriqOsTC/Cqr2XBfah/ysaIPsuClI3qhH2vC8/CsU7gM9/fBPkKlDghY4KwOxxXMlO7gT7hxb6FUP7NThwLswvaIN9JoUZIW+JHGy1RUcY9BI4bwzNJm1jTg+kVPvSjiwoOQnmd8NVv9+DYeqthNpSN70F/UtCI2IZaaf/m68VxrYVxnlBjmM/w4Q1cnn7Uv0nN6a2ITWLHLhLbbCdqixdAlbFyHINqHPusRgi8DrXT81vzYUinYhS1qhLymV3dkGaEifmfIGS1KYRvLcW0RDnajmyUimW0wyhPYt/+bKsmI7xkJrUQZde7UcaJegNdKy2lsZlWhenE+DCpWJbIJ3Qc15T+TIWIWQ3iYXQpHZFOfSxjEm86K+2EnRwa37WV2TayTAlvxYvBv9GDfkstQ12bvcR6J8XHJUYefXTimYfxt8Q/Vo0xqm8X6lU/3IK+zCBsdMXJkE/dgU8iKj5cd4ggsY4tQv8tGzC9OEd1z8eY0CA+LvcMoNwl6whbpg68xHAeTMyeSs8TQZTRvxfnlOhsXCj6dyHesdk4nyQK0JYDzbh+G5iOOBJLCbsfREgRaMY5ylyzOatDOH7ZaVBfpJzYk6miY8xwNYoTr0B9qX6c60+swzm92IvrvICG9UWINfSGRnqN4dmEGwUle9BfB9oxbtWihF8n9ie0CJY1V9G6esF4PKs65MpyjwDvXece4yMtMIHuHtYT2dL06dOta9ifffZZcemllw6Jko5Af/DBB8Utt9wi6uvrxa5dma1x0z0PLU/Ay/rkO+iLFy8Wki887bTTrCvi5QHcw4cPi9WrV4tHHnnEuu59+fLl4pe//KWYMmWK4OehJ9J68rtt1wn0/IaDpcsGAhyEZAPFiauDCXQH+34m0C0wmEB3bIIJdBsLJtAdm2AC3caCCXTHJsqYQLfAYALdsQkm0G0sNCbQcxbgkx9FMoHu4M0E+qhtjwn01JAxge5gwwS6jQUT6I5NMIE+anfLBSYIAd67dg/4YQT6hV8T/mCKDyhzIFI03CXeefluq+aGhgZRW4uHp3LQ7HFZ5RVXXCGee+458ZWvfEX84Ac/GMIgHYF+5plnilWrVolrrrkm42vX+Xno49K8JrTTTKBPKPzHZuMchExuvTKB7uiPCXQbCybQHZtgAt3Gggl0xyaYQLexYALdsQkm0G0smEB3bIIJdBsLJtBzt0ZgAj0JWz6BnhVDYwI9NYxMoDvYMIFuY8EEumMTTKBnxQVzJS4gwHvXLoA82AQT6O5hPZEt/frXvxY333yzKC4uFhs3bhQzZ9o3z6Ui0O+8804h/5Mnw5966ilx1VVXZSQ+Pw+dEUycKYsIMIGeRTC5KhsBDkImtyUwge7ojwl0Gwsm0B2bYALdxoIJdMcmmEC3sWAC3bEJJtBtLJhAd2yCCXQbCybQc7dGYAI9CVsm0LNiaEygp4aRCXQHGybQbSyYQHdsggn0rLhgrsQFBHjv2gWQB5sYRqBfMAEn0F/hE+huaFvXdeva9O3bt4u6ujpx//33iw984ANCnhiXJPmWLVvEvHnzxBtvvCHuuece8be//c0SS16xLt9Cz/THz0NnihTnyxYCTKBnC0muZwgBDkImtzEwge7ojwl0Gwsm0B2bYALdxoIJdMcmmEC3sWAC3bEJJtBtLJhAd2yCCXQbCybQc7dGYAI9CVsm0LNiaEygp4aRCXQHGybQbSyYQHdsggn0rLhgrsQFBHjv2gWQB5tgAt09rCe6pd27d4uzzz5btLS0WKR5KBQS/f391r9nz55tvUE+MDBgiWmapqipqRFvvfWWRbjzjxHIVwSYQM9XzUxiuTgImcTKE0Isu+U+6EDVY1vJTiklRZBudnRBmt5vT47JP9Xnw7KJOKbp+rgAVTxebLu4ENKMuThZx4tRRi2cgLKRSj+khcs0bANFEYpBd8/XZ8IfoiUKpPm7sIKCQzHIp/Uhtlor6koMhFEgLyG4EKLrPPs6nuRfIoAyUj00VUzV/Vg2EcR84SpMM2pRbl8AdSVLFgSjUIFXRRw1Is2roj1S+VRiF6W2APGuDWAaRchKgVtjON464iHoS4GG+qd0UO3vgeQTAochLaCg7TTFp5CG25EogPRzCndA2lStF9LaDexLqYp6bdaLoeya/nqsL46yfLB0Ayl3ldYH6VtjNZBWTsjdb+D4L9XQ5+mE0W+LToc22uKo5z0DFaTcQQ11UxvohLwLAk1o8wo9Po7OGFCxjToP2m1zAuWWda0Jz4a2Kz2o/xICswECWwrvHQNToY3pfpTxlOB+yFdGtCszDRjo/yl7pOyEKlvjRb0UKDhWF/r6QUbdxPlAZtoRx7nsfztWQPn+BNro/MJDkO+U4AFIW+hth7S4QF/9dngG5FvXP4u0295EANKpj3JqMvSPjVF8Q+/1RvQJkc3ot4r2oYiBDjru8PYR/j+CaWoc5xPDjzGBQrzJrBIxhrJtNwhpDG46kACPMdEzB8dqdEYZ1kbM36aKNqHGEAcKG9mA4cHynl6cq5UY+i1zF9qt4vWA3EqICCiCaItGOc4xpkp0Wm76eDFd24z6ouJgUk1miqBwjDqVxShiXZuGPtMsRX+ihNFHJXbvHbs0CoHX/BPo+mjICXvEjJS+FGo9QflWQgVKCh9sUkS9QsTBRHmlF+OExIGDY8c2ByW1k07MqFYlhn7QONCIY5Aal8QYTLS2ZdTueDNRa0SthBj/NZU4D5ZjzCoz6YSv9wyg3/Lub4U6EzXlkGYSvjFWivGJksA4IVyJflAl8ll+grD7aAmOLQOrFN4BbDvUjH32d0RQZcR4iZVg/2TBRIhYWxP4aMTcYxC+WqebycisiNBYaHE6VvP2EFjsaUH972/IqG0qk1aEMXj09HkYO3jRP8ULEVdZMDIF9d+PyxYRnYlzdXklxvmnV2MM3hnDcdQVw7l623v0e8VTNqBBFjcQ460X03Qf9s//+rZxxVsvGI+PWYdccGIQ4L1r93BnAt09rPOhpebmZusq92eeeSatOJdeeql46KGHxLRp0/JBbJaBEUiJABPobBxZR4CDkKxD6mqFTKA7cDOBPogFE+hDRsEEug0FE+iOn2AC3caCCXTHJphAt7FgAt2xCSbQbSyYQB8hpGcC3QGICXRX139UY0yg26iYTKAPmQcT6EfmMhwxTKA7mDCBPuHumwXIEAHeu84QqCxkS8b6DHmFewA/gM5CM2QV0UiXeJuvcM8VvGnr3bp1q/jLX/4i1qxZY51Il1e8l5eXi6VLl4oPfehDYvny5RMiFzfKCIwWASbQR4sY5x8RAQ5CRoQorzMwge6ohwn0QSyYQB8yCibQbSiYQHf8BBPoNhZMoDs2wQS6jQUT6I5NMIFuY8EE+ghLACbQHYCYQJ/w9SIT6LYKmEBPmsv4BPrgXIbDkwl0BxMm0CfcfbMAGSLAe9cZApWFbEygZwFErmLUCMjr4l955RXr7fWOjg6rfFlZmTj55JPFBRdcIKqrq0ddJxc4PhFgAv341HtOe81BSE7hzXnlTKA7EDOBPogFE+hDRsEEug0FE+iOn2AC3caCCXTHJphAt7FgAt2xCSbQbSyYQB8hjGcC3QGICfScr/lGaoAJdBshJtCT5jIm0AfnMhw9TKA7mDCBPpJ35b/nCwK8d+2eJoYR6OfLE+glrjUejXSLt1+922qvoaFB1NbSz0K4JtAx3NBdd91l9e70008Xl1122YT19NChQ+Lf//3fxZ/+9CeRSNBPF2qaJj72sY+JH/3oR3yF/IRpavI0zAT65NHVpJGUg5BJoypSUCbQHViYQB/Eggn0IaNgAt2Gggl0x08wgW5jwQS6YxNMoNtYMIHu2AQT6DYWTKCPsEZgAt0BiAn0CV9QMoFuq4AJ9KS5jAn0wbkMhycT6A4mTKBPuPtmATJEgPeuMwQqC9mYQM8CiJOgClVVhaIo4qmnnhJXXXXVhEi8ceNGcfHFF1snzk3TTCuDlFVeKf/SSy+JRYsWTYi83OjkQIAJ9Mmhp0klJQchk0pdIOxFF9pf5iX/PD0RslNqUxukJw63TAwACr3TphWEMpInfO4CyBd6D/snojHI13cqfsHYP1WDfAYmCSXFfB4rQrF9vZimEB/TKQZRtg8TCxpRr96DnVg4hn2WmXrOnIn6DyqQpnuxSsOD+QwiX6Qcy8aLEDS9Kg4ZA4VRUvflRf0Z2YRCKIci0AMeVEJAw7TqQA+0u6DgUEayyEwtsWLI2x4vgLS6AOqwOYpf+BZ4EJ+AijhGCMUYJupPCqISmJ1d+B7IWKWhMTfrKGONpwvKrguj3W3sr4N8C0NNkLYocJDEe1+8AtLf6a2HtNOL9qCfUBHHgzE03IiJu45x6jFJQsId/fTVUj4V7azG3w01zA8iFnN86KtLib7ETfStXsLJREzCwQkhdscrM9J/pYbjUhM41tdGUdcb+mdAG5QtVntxDC4L7iNtosbThz6c8NfvEbZjCMSszmNfGZb804l8lYQOmvQgKWOrjj5hZdfJkDdG2Nl8wvfM9R/GMePDtF6ivu2xqVA21Yc2XmLiOhgrg/IVXvQTBmGPe8I4fp975xSor2Q72mjxARxD3n6dxFuNYrqpoa4VnZiEiRrVCNan9eG8nNi+k5RnPIme6ioonqifBmmmhr6eijEoWQhVCVNNMXckcHBR5al2PJ0DkKxEUa/GAfT/poHtajWEv02hUzMcxrYricAlTMTREZw7zAGszzTQntRCnPv1DpwvpXBaCfoJYxbqWlDtdKJfTuzbP3bTI2J1Sr5UDSg+DBTNagLvBGKmUBtoEYxvzR6cJ5Ry9E+WjJQ9EzZFYWscxPjPiNLrrbEDnnlJT/0sHP8hP+ETiLmeWoJl5gZpX9tG23KiEWMZqgI1iHOmuXguZNUDGJeZxPpE9xEdTLUfS7g4qk6D8K2CKKv7iEQqn3cc+aQp65n5YFOhffjR4HrDWJ8aT7+JPZK1kmEmUaVCTOHUGpOajygctAgxT0TRwLUIbfTebhzXxrqt0F3V54M0I8UafCSs5N/1i07F8Uvoz/DTeyiRUhzrsWLUf38NSlO4tB0SC/0455UHcP7e04n+tu+9KWSXKzZgcqATDcDXgW0rq7YgPjod/2WCt8zzgvF4plk5X54gwHvX7iliGIF+3tdEwMUT6BF5Av0ffALdDW1XVlZaxPXatWvFkiVL3GhyWBv9/f1i3rx5oqnJjhklkX7zzTdbJ+KnTrX3K5qbm8WqVavEr371K/H8889bafJWgu3bt4tQKDP+wPWOcYMTjgAT6BOugmNPAA5CJrdOmUB39McE+iAWTKAPGQUT6DYUTKAn+Qkm0C0wmEB3bIIJdBsLJtDTx4NMoDv4qEygW2AwgZ5+zDCBnrs1JhPoNrZMoDs2Rn4ExQS6BZDGBPqQoTCB7owZJtBzN0flqmbeu84VslgvE+juYT2RLZ155pkWOf3MM8+I97///a6L8oMf/EB87WtfE/Ik/C9+8Qtx0003pZXhN7/5jUWwy9/3v/99cfvtt7suMzc4ORBgAn1y6GlSSclByKRSFwjLBLoDCRPog1gwgT5kFEyg21AwgZ7kJ5hAt8BgAt2xCSbQbSyYQE8fDzKB7uDDBLqNBRPo6ccME+i5W2MygT44BvkE+pCRMYFuQ8En0B2/wyfQ0/tgJtBzN0flqmbeu84VslgvE+juYT2RLf3kJz+x3h6/8cYbhSSn3f6dddZZ4p133hGf/vSnrRPmmfw++9nPWrKeccYZ4s0338ykCOc5DhFgAv04VHquu8xBSK4Rzm39TKA7+DKBPogFE+hDRsEEug0FE+hJfoIJdAsMJtAdm2AC3caCCfT08RoT6A4+TKDbWDCBnn7MMIGeuzUgE+iDY5AJ9CEjYwLdhoIJdMfvMIGe3gczgZ67OSpXNfPeda6QxXqHEejnTsAV7q/xFe5uaDsWi1nXpW/evFn8+te/FjfccIMbzQ61UVFRITo7O8XKlSut69sz+cn3zy+55BJRVlYm2tvzPncAACAASURBVNqIZ1wzqYTzHPMIMIF+zKvY/Q5yEOI+5tlskQl0B00m0AexYAJ9yCiYQLehYAI9yU8wgW6BwQS6YxNMoNtYMIGePjpjAt3Bhwl0Gwsm0NOPGSbQs7niG14XE+iDY5AJ9CHDYALdhoIJdMdXMIGe3gczgZ67OSpXNfPeda6QxXqZQHcP64ls6cCBA6K1tdW6Ol2S6BdddJH41Kc+JRYvXiymTJkiNE1LK96MGTPGJX4gEBDxeFysXr1aLFu2LKO61q1bJ5YvXy78fr8Ih8MZleFMxx8CTKAffzrPeY85CMk5xDlt4IL3/wDq9/bGyTa1HQcgXe/ozKl8qSpXQyHyT0rAD+lmOAJpA5csgrTCjYewf5WlkNZ5ciGkJQIKtkvECmoiRY8MTDeJ8gqRT9GxrGKakEiVDbZjYS1CNCKEUAysU+vHDnWcVID4BIl+q5jWV4ttJEpRxmAZBjqzK9pJcIu9UUjvi/sgzRCow1IftlPixTRVQbm9hGIKNZRlhp+Wu1tHG48YXpA7oOJ4VQll7xqoymisUn0JabRPqA+0QJ1nBHdDWr+BeDclpkC+hngZpkUwbW7wMORbFtwHaRsiM8k+b+jFQD1O7ByeW7ITyld6eiDtsdYVkFZK2Ml5JdvRFxnos57vOImU20PoldJ1uW8Ayp9WsAfSajzov0s19JcFhC13EbYoG+gycLDXE5iVqWjLHQba2bZ4Oci9LTId0qo93ZB2kLCnmT56vC3yN6IOVfQ922M4J8QFOus6TxfUV0TgGCf8ToeONiEra0xg2y93L4R2CjzoZyq8vah/L8o414djq0BBvfQSYzpGTVqWTaAv2xKpBXlODhyEtLf7ToC0Td2o//deqYd8FZtwLvN3EP4yTkyiQgg1juVN4j1Yar6lBjBVVl2/A+eiKI7BjJx3mkzaghPhr3oJNTFjJRn3T8NJ3dRwXrVaIGIUSnwqbiG7ScQnnoZWyJpobBoXlIoH/Vbjv58GddY9h75VOYTyCB/OjcKD/kQ/iHKbegq7DRJ6PXE2yKgQ5ZXD6B8Trfl1MoMifoUP9SJ0HL/6HowTSBwVIkC17Bbr9EybimOrBXWdSl/jMsijClP2aYmdIGI4oo/aonkoDjFWTRXxMQqIuNqH+RSdWEsM0DGmsXYLyKMSY0aZPwfyxSpx3tG9hF4JF2V4MTGVL1Lj2B+yfILI58N2DILQp/xoPESsO6nuYbO2Cyb67Q1jZmKJIXQ/FvaEcWxQ60nq46lEkB5v8cL0m+5HlE7ZFKUDSleU3GqMwIGwW4XQqZRJJWIK7wH0o4kDGPOMxx94ptfgOJiL/ikRpHGl9BApw7zdONxEojqGY9WPc1TFlD7I19KA68HSTR4SioJmwgf3Yzu+HvQpyqqtUCfpG0ehBCbQRwFWnmTlvWv3FJGM9Znn/IcIBEpcazwS6RZvvf59q72GhgZRW4vrTteEOcYbkm+PK4PrY9M0h/6dSbdluUQi1QZ5JjUIUVdXJ5qamsTvfvc7ce2112ZU6NFHHxXXXXedmD59umUf/GMEKASYQGe7yDoCHIRkHVJXK2QC3YGbCXQbCybQHZtgAt3Gggl0xyaYQLexYALdsQkm0G0smEBPH74xgZ6EDxPoNhhMoI96zcMEemrImEB3sGEC3caC+L7XSmcC3caHCXRnzDCBPurpSDCBPnrMJroE7127pwEm0N3DeiJbkgT6WH+SQNdTfBCcaZ0f//jHxZNPPimWLl1qvYXu8dAfYB2pT55Wl1fOb9y4UXz0ox8Vjz/+eKZNcb7jDAEm0I8zhbvRXQ5C3EA5d20wge5gywS6jQUT6I5NMIFuY8EEumMTTKDbWDCB7tgEE+g2Fkygp4/VmEBPwocJdBsMJtBHvcBhAj01ZEygO9gwgW5jwQS6YxN8At3Ggk+gOzbBJ9BHPQVP+gK8d+2eCplAdw/riWzp4YcfHlfz430z/a9//av40Ic+ZJ18l2+gP/TQQ6KmBm9kkUI2NjaKz3zmM+KFF16w8j/99NPiiiuuGJf8XPjYRYAJ9GNXtxPWMw5CJgz6rDTMBLoDIxPoNhZMoDs2wQS6jQUT6I5NMIFuY8EEumMTTKDbWDCBnj4sYwI9CR8m0G0wmEAf9VqGCfTUkDGB7mDDBLqNBRPojk0wgW5jwQS6YxNMoI96Cp70BXjv2j0VDiPQz5qAK9zf5Cvc3dP2xLYkT5L/+c9/tkhxr9crLrnkEuuUeXV1tZXW3NxsnU6XxLk8gS6vmpdlnnjiiYkVnFvPawSYQM9r9UxO4TgImZx6OyI1E+iO/phAt7FgAt2xCSbQbSyYQHdsggl0Gwsm0B2bYALdxoIJ9PTxIBPoSfgwgW6DwQT6qBdRTKCnhowJdAcbJtBtLJhAd2yCCXQbCybQHZtgAn3UU/CkL8B71+6pkAl097A+3luKRqPi+uuvH7qO/cib7EfjIolz+ZPXvss30/1+//EOHfc/DQJMoLN5ZB0BDkKyDqmrFZ5/5Q+hveC+LlIGc08DpBvhMKSpwSCkmfEEpCmqgu0oxBsqC+uxjaY2Uka9vTMj/NRgAOUpKoS0njNmQFq4QsP+YZIw0j+/MqwORSegMIg0e84fsawg8gkCbuoNvFSbLYUH49C2FkUhOxZiIBIPEWoh5OmfhUCoxTEoXFXeC2mzS9pJ3Qc0lLsjWgB5i70RSJsexLHQk0DbCeteKFvqxbEx3Y/2GVKxf7KyPh3biRjYTrW3G9oOqVFI6zVwXDZGp0C+aT7s80wfPd6mezBvxETD100c100JbHvTQB3IU+Htw/GvoN21xYsg3+XFG0mb2B2rgvS2RDGk6cSg2R+ugHxRYrDHiT5fULoDyu6PZlafbRM4tgo11HXURDuZ7kPbq/Fi2iwv6rqUsCcSWCHEgUQJ/OkkH9poiYoy7kng+F8XQR/sJRzmfN8haHd7bBqkxU3CWQshajyIxRwv2ncvoet+Am8KMy/hXLsMHzFW6cXc5giOD2oMLwrhXF2qDUA7rYTNl3twvNUQ47xYQb/VZdByt+g4Nt/uOwH9uq8H0vaEKyFt5d4FOBetxjbKt2HcoRJzVqo5z9OHc4di4OSaKERbpsaHtxPnGLFlJ2Q1YvSckGrMHZ2uhnDCNRbPzbQ45iPmak8n2pOpYUa9hJr8hVCIsa5145wZq0a9UjpQdNSL1o846pveHTsOQojolSuwPBFvBf++BfMl0B6Fhv7IiKBPFyYREKboiXrqyfAXJULY1P4mnPP6cPyPCzCXClPE8XiJEZdEz2ozqh/jRtmAESV8D9GyVoZxmTmLuAZTIcZ6EGM/w0vPt0c3raT4oEYbQB9s+IkY04/tUD6BBJtYdhqEL1MJH2PVRwxNyhdS8lD5DD8KpHup9TL2xvAQ+VL5iQQ6Ll8PsVYn+k1+DJZAIJQ4phkB1FWigF4w677M+qPFqEUvMZUR8lDwEEsMEsVUdqsQ2Ho7iDlzx56szv+U749NQZ9gUPYkifUQ6magEu0xhtOyIJZgIjaTmMsi2EbhTtR/8T56zqNsVBD+yNuLvkNdj2swah9rNE6Z30AfDVr5kZf3rt3TQzLWZ535VREI4B5BrqSJRLrFm2/9wKq+oaFB1NbW5qoprjePEHjmmWfEAw88IF599VUxMDB83g2FQuL8888Xt912m/jABz6QR1KzKPmKABPo+aqZSSwXByGTWHlCCCbQHf0pTKBbYDCB7tgEE+g2FkygOzbBBHr6OY8JdBsfJtAdO2EC3caCCfSkeIsJdBsMJtCzsohiAt2GkQn0JB+TivA+2uKYQB9ChAl0Gwom0J1BwgR6+imKCfSsTOGuVsJ71+7BzQS6e1hzS8MR0HVd7NmzR3R0dFh/KCsrE/X19UIj1l2MHSOQCgEm0MdhG3fccYf44Q+d07ovv/yyuOCCC0ascdWqVeK3v/2tkPkbGxuFYRjWWwzz588XF110kbjuuutEZSWesBmx4qQM8uua+++/37qyYteuXSIWi4m6ujpxxRVXiC9+8Ytixgw8wTWa+tPl5SAkW0hOTD1MoCdttjCBbm8cpPiQn0+g27bCJ9CdMcMn0G0s+AS6YxNMoNtYMIHu2AQT6DYWTKAnxVtMoNtgMIGelcUPE+g2jEygJ/kYJtDTji2VT6CnxIcJdAcaJtDTT1FMoGdlCne1Et67dg/uYQT6GRNwAv1tPoGeTW3fddddQ9X953/+59C/k9PH0l5yXWMpz2UYgVwhwAT6GJHduHGjWL58uUgkXb83EoEu32H4/Oc/L37961+LI28tUM0/9dRT4sMf/vAYJRNi9+7dFlG+YwdeSyQrLSkpEX/4wx9ydk0FByFjVl1eFGQCPWmzhQl0Cwwm0B2b4BPoNhZ8At2xCT6Bnn7qYgLdxocJdMdOmEC3sWACPSneYgLdBoMJ9KyshZhAt2FkAj3JxzCBnnZsMYGeGh4m0B1smEBPP0UxgZ6VKdzVSnjv2j24mUB3D2s3WlJVVRx5W1ye8D7yS04fixzJdY2lPJdhBHKFABPoY0BWnhg/44wzxOrVq0VVVZVoaWmxaklHoMsT4JIUf/bZZ6285557rrj++uvFggULhMfjEfv37xeSlJcnxu+5554xE+h9fX3itNNOE9u3b7faufnmm8U111wjgsGgJd/dd98tZB753sNbb70lFi9ePAYE0hfhICTrkLpaIRPoSZstTKBbYDCB7tgEE+g2FkygOzbBBHr6KYoJdBsfJtAdO2EC3caCCfSkeIsJdBsMJtCzsuZhAt2GkQn0JB/DBHrascUEemp4mEB3sGECPf0UxQR6VqZwVyvhvWv34GYC3T2s3WhJEuVHfpIjO/JLTh+LHMl1jaU8l2EEcoUAE+hjQPYnP/mJ+NKXvmRduf6Rj3zEIqXlLx2BLq+h+M53vmPlu/fee8WXv/zllC3H43Hh9XrHIJkQ3/72t8Wdd95plZVE/O233z6sHkman3feedbJ+QsvvFD8/e9/H1M76QpxEJJ1SF2t8LwPOc8SHGm44J29pAx6u/2GSPLPTPr67Ei6Z3oN5ptSBGlKC9aXmINlu+eGoGzocIKU0bty9Zjx88yohbJtF9ZBmh5QsH+YJEziXT0qTVamOh/xjVp+hYCCIsEND1ZNyWOkcEdUXt2PdVLlo5VOkDVUYkoMCgcLopA2p7wd0qaHuiDNr9I2UahhnVETO1mshaFOQ6Bi44YG+d7rq4a0BAHY0pIGyLc3XE7qvDaAfZzpb0N7JNqp8XZCvrUDszMqW6RFIN/JQZRbZprrxTG8L14C5XfGpkJaS7wY0io8vRnZf5mnH/J1JAogLW4SRi+EqPWhTbUmUJ5DsVKok77C3wf5FhQcgrRuPQhpAzqWrfL1kDiEVBwzc3yHUUYD26Gw8BLOY8DAQT3Li3Y319tHythLDHWV8I+lRGJTAp3m1hjOCQGFwIGQsYfoSyoDMwS2PVXDPkZMHP8xgWkdOs5bZdoANN9LyLg9in2WBfdFKqD8DD/a8lx/M+QLELqOEX0JKHEoW0XIrRO+sZ2wb1nZmnA91LmmZyaOhQSOhd0d6B9ja6dA2bJtaHjke67EEyWKQb9bosQJY1bQmA0f2o6nF3H07DyI5kd8uGd2ou/Xe1L4RpOSEeXRCtE/KlPQV+tTEVtB9FkNY//MXfuhf8Ypc8kh52nDsZXYuRvyaifPQ79ehmOLIoM8++0PnpN/iSYcG4LAUCtF3y/r0Reg3XoOEfpqQF1T8XJGEx5nch0BJcUbiWoQ51a9j54LXRc6Cw2Sdl+H8RvlE0wvzoMGlRYg8nmIBZP1QS/6ZoUgxqk0rQ9jf7FtD6CkBDDmiS+dA/lMwg9amQjRKXko9ZgaERwRGQ0in0kFVqOwAY2Y39QYzife/a1QKzVP6CFcV1GYUTpNhS01N1PzLSW3FsE1YbwIYwwKMjWBOKTUP1EBVV7rx7hVvIv2aIRxLZqpWrXCQpwvTz0R04rotVGsCI05MgXTqHU+9dEBtUdALMlFYRNhd30pNkYIn+Al4i3x9maEjYqXMgU3RT4m0McJ4AQU571r90AfTqDfIQJ+XHfkSppItFu8+fY9VvUNDQ2ithb3eXPVNtebGwQ+85nPZL1ieaJe3hjNP0aAQoAJ9FHahXS2CxcutE5xS8L8lVdeGSKsUxHoe/bssch2SYzfeOON4qGHHhplq5lll/XLE/FdXV3WyfYtW7YI6uufW2+9VfziF7+wKl2zZo049dRTM2sgw1wchGQIVJ5mYwLdUQwT6DYWTKA7NsEEuo0FE+iOTTCBbmPBBLpjE0yg21gwgZ4UTzCBbscTTKAPGQUT6Hm6ECLEYgI9CRQm0C0wmEB3bIIJ9PS+jAl0Gx8m0CfPnHc8Scp71+5pmwl097A+Hloa71XxR2Mkn1mWBDpfIX88WM/Y+sgE+ihxu/LKK8X//d//iRtuuEH89re/HXbiOxWB/h//8R/iBz/4gTUY5fvks2fjqb9RikFmf+GFF8Sll15q/e373/+++OpXv0rme/vtt8WZZ55p/e3rX/+6+O53v5uN5ofq4CAkq3C6XhkT6A7kTKDbWDCB7tgEE+g2FkygOzbBBLqNBRPojk0wgW5jwQR6UjzBBLodTzCBPmQUTKC7vsQZc4NMoCdBxwS6BQYT6I5NMIGe3rUwgW7jwwT6mKcgLphDBHjvOofgHlV1MtZnn+7+CfQ33uET6O5pO/ctzZo1a+gN9my2tncvfftuNtvguiYnAkygj0Jvjz32mPjkJz8pysrKrDfGKysrMyLQ58yZI+QpdPk2+apVq+wNJMMQTU1N1qn0qVOnWm+Uj/eXfE28vKpdvtNO/eT17aWlpaK/v9+6zv3VV18db9PDynMQklU4Xa+MCXQHcibQbSyYQHdsggl0Gwsm0B2bYALdxoIJdMcmmEC3sWACPSmeYALdjieYQB8yCibQXV/ijLlBJtCToGMC3QKDCXTHJphAT+9amEC38WECfcxTEBfMIQK8d51DcI+qmgl097DmlhgBRiD7CDCBniGmR65Fb25uFg8++KD47Gc/a5VMfnOcOoHe2tpqXasuf1/84hetd9Al0f273/1OdHbab9J6PB5x1llniTvuuENcccUVGUqE2T7+8Y+LJ554wvqDrFuS5Kl+p5xyiti0aZP1EUBLC74JOGYhhBAchIwHvYkvywS6owMm0G0smEB3bIIJdBsLJtAdm2AC3caCCXTHJphAt7FgAj0pnmAC3Y4nmEAfMgom0Cd+zZOpBEygJyHFBLoFBhPojk0wgZ7ekzCBbuPDBHqmMw7ncxMB3rt2D20m0N3DeiJbklegr169Wrz22mvivffes7ip3t5eUVxcbB1GnTdvnjjnnHPE8uXLySeHJ1J2bpsRSIcAE+gZ2sfnPvc5iziXRPfrr78+dFXESAS6PN19wQUXWK3IK9UlwS2vcU/1+9KXviR+/OMfZyjV8GzyxPk777wjCgoKrDfa0/0++MEPimeeecbKEolEhN/vz7hNOfGl+x06dEisWLHCyiLfjK+trc24bs448Qicfh3aX9nzO0nBEq1tGQmsER9zDJxzIpQt2NkBad2LKiAtXqhAmhY1SVlK/7oF0nVifCgeL+Qzly+EtI6TCyDN8BBNo4ikfKZKQ6gYmG5mWCdVo+7DVD2AafFiIq1Up2X3oZBaMEEIjknVFT2QWFOIaZEEgruotAnKnhhohrQBg+i0EKIjUZhRXooYrQugjfYlEMhN3dOhjROKWiEtYWiQFk7xxcI0fzfknenHMVjnbYd87XoRpJVq/ZiPwKbcg/OJV9A2UaVh3n2JcminSA1D2uZIHY7/RAjSvCra2MkBnJeK1QiUVQUxsOghKOICdbMnZn8Ql/zbG6mEtLiJZa8uXQP5nuo+FdIou1sYQpuXBZcF90H5cqLfXgX9Y7uB836xEoP6difKIE0jcJzntT8KPPoXUNBxeZUUju+owgMm2tlOwkl16Wgn5YR9B5Q42pNC27KXcMIDxNhsN3BO6NIx7Uc7L4a2b5uDNwBRttNB1CcrCyg4FmoIPVBjnSrrJerTBNqOLlCnOjGZbY7imJZyb+rDuHBb11TAp7F1CqSZLWi3pVvRnoLtqFcPEScocfQJxHCx5SDCDC2COtAG0M6MAMYYnkb01XolfvyqGITf2kqvJdRCtD2hIT6JFpyPUrhCSKbiJapdow/nGGHSPjhTMlkrKSHkwTjB6O2FfEYM/RvVF20q+vlU2BitqEMqr5lAmzANOm5Fo8983spUh5xvdAioIZxjLJcQI/RK6Hp0rU1MbuojAZW4IU8pR78sghgHmz4cl6YXYyOKiDa9dIygEGPGJPybQZRXX12XVWDNc5eS9Zkazo++XYchb3QuznmGj+i3SfgJIq6ihKGIWyVB+x01inOmuu7djPyoec4SzEfomuofKaNOy+g7hOvExI5dY9arZ/5cKBupI+YYwu4ovJQUclN2q8QwdjA2bMe+pJgzM+m0smIRZIsXYwwVL8RxKQvGijKL1ak9C2pfRvcTY6MP5zc1RuwvEGlW54jp0X+wC/qd2Jl6/zUTLI/O45k1kyz27J57x1Idl5lABJhAdw/8YQT6ittFwI/+NlfSRKLd4o1VP7SqZ44iNyjLm44feOABce+994rGxsYRG6mrqxO33367uPXWW4Wm0fPQiJVwBkbARQSYQM8AbEmYy6vO5aBet26dWLTICUZHItCfeuop8dGPftRqRZLU0WjUIuHvvvtu60p3SV4/++yz4itf+YqQxLP8/exnP7OcyGh/J510kti2bZuorq4W8qR8up+8il5eSS9/bW1torwcCY5U5eVb7pn+eHLKFKn8yccEuqMLJtBtLOJMoA8ZBRPoNhRMoDt+ggl0Gwsm0B2bYALdxoIJdMcmmEAfxIIJ9CGjYAI9f9Y+I0nCBLqDEBPoNhZMoCetl5lAt8BgAt2xCSbQR5pV+O/5ggAT6O5pggl097B2u6X29naL95LcmRUjUR//HSXUEV5JHjh9/PHHrdPp/GME8hkBJtBH0E4sFhNLliwR7777rvV1zD333DOsxEgE+u9//3tx3XXXDZU59dRTLacSCAz/Unvnzp1i6dKl1rvk8lr1/fv3j/pd9CNvrcsveQ4cOJC2Z9dff7145JFHrDyjJbmZQM/nIT1+2ZhAT9oQ4BPoFhhMoDs2wQS6jQUT6I5NMIFuY8EEumMTTKDbWDCB7tgEE+iDWDCBPmQUTKCPf83iVg1MoDtIM4FuY8EEetJ6mQl0Cwwm0B2bYALdrdmJ2xkvAkygjxfBzMsnY33OcvdPoL++hk+gZ66tzHPKK9vPPvts69p2SZxLvuiSSy4RF198sVi2bJl1WLOwsNC6xl0e3ly/fr144YUXxEsvvTSU/8wzzxT/+Mc/cnKl+8DAgFizBm+CTO5hMBi0DrjyjxFIhwAT6CPYxxGCfMaMGdbpbnk9evJvJAJdXtku3yY/8nvuuefEZZddRrYqCXp53YX8Pf300+LKK68clfW6dQKdr3AflVomXWYm0JM2BJhAt8BgAt2xCSbQbSyYQHdsggl0Gwsm0B2bYALdxoIJdMcmmEAfxIIJ9CGjYAJ98iyRmEB3dMUEuo0FE+hJ62Um0C0wmEB3bIIJ9Mkzvx3vkjKB7p4FMIHuHtZutvTd735XfOtb37KIc3n4VB7UXLgQn0I9WqYtW7YIebBzw4YNVtnvfe971rPHo/299dZb4jvf+Y5V7KabbhJXX331sCq2bt1q3SI90kHQN954Q8hnkfnHCKRCgAn0NLaxfft2ccoppwh5Cv0vf/mLuOqqqyD3SAT6ypUrxfvf/36rnM/ns766kf+nfi+++KL1pY78SQd01113jcpy3XoDfSShOAgZCaH8/jsT6EkbAkygW2Awge7YBBPoNhZMoDs2wQS6jQUT6I5NMIFuY8EEumMTTKAPYsEE+pBRMIGe3+uhZOmYQHfQYALdxoIJ9KT1MhPoFhhMoDs2wQT65JnfjndJee/aPQsYRqCf+hXX30B/fa19WHG0N/BmgtBI5OyROs4//3zxyiuvpK1SHrr85S9/KVatWiVaW1utG4pXrFghPve5zw1xS5nI5EaeeDwuamtrrZPl8kZl6rbldHLIJ43l6XV5Kr2qqkpIG/F4PKMS/cILLxSvvvqqkAdK165dC3zbEQJ9pErPPfdcqx7+MQKpEGACPY1t3HLLLZbjqq+vF/KrGuonT5g/+eST1p8k6X3kSxt5elyeVpen1uVAlr+RrlbfsWOHmD9/vpVXtv3zn/98VJb7sY99bEiWzs5OUVpamrK8/DBg06ZNljNuaWkZVTsjZeYgZCSE8vvv8//ffSBg3Qv9tNBvb8yoM6p/+JMFspBy4iwoqxf4IS1Wih+cGH4V8sULME1m8nckIK9ioth6AMsPVGqQ0fBiWVPBNCqfIPJRZWVtKoottBi2Ex9+KYaVwSBijgSRL16IQPhn9UIj9eXtGelZZvKoBuSN6ChQQMMOVgb6oGxQjUPazGAbpEUJwAu1CCl3QME6NQXlPhwvgfIVHsSHyrexpxbKVvqxrJdotyseJOVeXrIP0qd6uiGtVMPxShF6RVoYx5GJuvIqqKsIaeBC1Hk7oU6f0CFtbWQmpB2IlUNan46+o86P9ljvw3msSkO8dWoQyo9EiH5HiLSWRDHIuHmgDtJKPIjtDB/a7d5oFaED9DslngHSJub6D0P6fC9iUetBx9VhoEPRCHwixBtWm2PV0O4iH8oiM5WpmS2C/Armi5poe006jtVWHR0cpb9SFfWSyrlVEv6j3yTmBMKJU+PaS0w8rYR9U/I0J9AXpZI7QPhMKi/1EUyxij4zQIz/fhPtaXW4Hpr59c6zSDF792F/Qk04B3uI0MNDuHV/N9qEJ4xpSgLnvEzjAdmR4CEch+oAjqNEKfrweAnx8ayO8njC6C/VONG/vc0ktmYp+ijhRbtV2nHuENR7sMoFbAAAIABJREFUdVGif+3ogxXCx2hz0M+brXQ8YfahshXqg+MMN1UUDftsJoh4METMt0RZ/VAKvA3CplQi2MswiiJJ9RQfHWRYJWc7ThBQifGizp5B+wkV/a1ioJ8RvTgujbbM1gTKibOhbZMYW8KDsphaijGkYLq6bS+0o/di/JdtM/BUVdLYDmCcoffj3JG4aBnKTaxFqXlLJeYyNUHoj/BPnn5cA0lBzA3vor50Yj4i7MwgPjiPF2JMZ3pR12oM5Vaj2K4UzvduA8iYaMXYmlIMNT6iFyz+/9m7EzA5qnrv46e3mZ41y2Sy7xtbWCVI2ARRXhAQVHIVURa3AC5wUeBGfUBEuUFAFC/LjYqI3CsKelUEBEEgUUCCBAhJCGQPWSfL7NMzvb3PqUqmZvI/Pemeqa6p7v728/AANVV1Tn3OqarT9euqErOGDPUJN8mBR2rpCre7lOvrS50q+1jKsL/Fa+T5UlfGdG3F8LXVWO/yPfJ8W/naBtnHYp1iWsecmWJaOGbuE6YfLQQWL3XV0uSYqDCbvfD4da6WzcryL8C16/wb7yuBAF2pvgJ0/fjzyy+/3MqgMn10iK5zomwD+3y37u9//3ulc6hgMKiWLVumDjnkkJyL1JmZvkNcf3S2dv7552e9Dv0q5IMOOsjy0De9nnPOOWLZnneg33DDDeLvOju76667rHXoefdlcllXghlLRoAAvY+mvvTSS9Uvf/nLfnWGdevWqcmTJyv9ixwdpOt/jx07Vm3evDnj+nqG7V/+8pfVf/3Xf+VUtj4Y7Ht0hX6MRabHTyQSCStc1+9bP+WUU1z/lQ2DkJyazXczE6A7TUKAblsQoDt9ggDdtiBAd/oEAbptQYDu9AkCdNuCAN3pEwTotgUBet/DfgJ0330tKpgKEaA7TUWAvteCAL27UxCg2xQE6Lkf0gnQczcrpCW4du1da5VCgH7FFVeoK6+8MiOqzoamTJE/MNQLfOtb37IeY64/+m7u6667Tk2bNk2tWbNG/eAHP7Du0t433/e+9z3vGq6Pkq655hr1ox/9SJ1xxhlK3znf349+arN+L/rVV1+t7rjjjqxXc+utt6r58+dbobfO00yfngG6fl+76aOzM/0Od/2EaX1jLB8ETAIE6H30CzcCdL16/SujRYsWqVAopJqamsR71PdV4bHHHut+TLw+cOoDQS6fp59+uvv96gsWLMj4/oiXX35ZzZkzx1q1LmPfQTqXsvqal0GIW5KDsx4CdMedAN22IEB3+gQBum1BgO70CQJ024IA3ekTBOi2BQG60ycI0G0LAvS+x/YE6IPz3acYSiVAd1qRAH2vBQF6d6cgQLcpCNBzP9oToOduVkhLcO3au9bqFaAfMwiPcH8t/49wv/HGG60QNtfP6tWrrbu39c2Oxx57rJUfVVQ4T8lqb2+3cqVXX33VesS5ft2wDtcH+6PrpB/brvOna6+9tt/Vue2226z8St/geaBH3PcsRN+trnM0HeTrdZg+2QTo+4L4s88+21ofHwRMAgToA+wXB3oHul69fhzEVVddZZX0P//zP+rTn/60sdTLLrtMPfDAA9bfFi9erE466aScaqff1a7fG6FDen3w1QcK06M99GNB/vu//9tat36vxuzZs3Mq50AzMwg5kJC//06A7rQPAbptQYDu9AkCdNuCAN3pEwTotgUButMnCNBtCwJ0p08QoNsWBOh9fwcgQPf3dyQ/144A3WkdAvS9FgTo3Z2CAN2mIEDP/ShOgJ67WSEtwbVr71qLAD2ztX4C8T333GPNkOlpwj1vhPzKV76ifvKTn3jXeBlK0q873rBhg3riiSe6b+bsT6WeeuopddZZZ6lJkyYp/TTnbD/6RwTr16/v89Hv2QTo+u75j3zkI9ZTpNeuXZtt8cxXYgIE6ANs8GwC9NbWVuvXQfpd4/qA8M9//lONGtX7/aH6VzYf+tCHlH6kxKxZs6z3k+8ffve8I/65555Tp556qqh9z8e468d87P8rIH0w1r/q0b9s6uv9GwNhYRAyEL3BX5YA3WkDAnTbggDd6RME6LYFAbrTJwjQbQsCdKdPEKDbFgToTp8gQLctCND7HucToA/+96BCrQEButNyBOh7LQjQuzsFAbpNQYCe+xGeAD13s0JagmvX3rVWT+uTj/66ipYP8azwWGeTWrzUfjT4pk2b1Pjx410te19205870PW7zydMmGC97lc/inzlypUZ66b/vmrVKqv+GzduHPR3odfV1anGxkYr9D/uuOP6bapv7NSPUdevGt69e3fW6xkyZIjSeZu+C37fU5b3X1g/2v2II46w3tOubzo1fV577TXrzv/a2lpre/ggYBIgQB9gv8gmQNdF/OY3v1EXXnih2ndw/I//+A/rABOLxdSTTz6p7rzzTtXR0WE9jkOH6SeeeKKoWTYBektLi7Xjv/POO9byX/rSl9SnPvUp6/EfOnTXj2vXBxj9/y+++KI66qijBiggF2cQ4jqppyskQHe4CdBtCwJ0p08QoNsWBOhOnyBAty0I0J0+QYBuWxCgO32CAN22IEDve0hPgO7pV56iKowA3WlOAvS9FgTo3Z2CAN2mIEDP/bBPgJ67WSEtwbVr71qLAN1sre943vc49nnz5qn77rsvY6Povy9cuND6u14u0/vUvWrVSCSiUqmUWrZsmTr00EP7Xey+u8T1a4/j8XjW6ykvL7duDtWPttfvje/vR79f/n3ve5/S29PZ2dnf1bBckQsQoA+wgbMN0HUxd999t/Vuhky/eqmurlYPPfSQOu+884y1yiZA1wvq92fox0+8++67xvXoX9XoR8mfc845A9x68+IMQvLC6tlKp93xQ1FW7ZqAsfxRD70ppqc6OsS00LgxYlp6SLWY1jJzqJgWbkvK9cVTYlrTlHJjHQOGiwfpgNyedNCwuGFaMmKYz8CTMsyXCsll02Fz0wYN44aQ4VzeVSuXT1TJafFa6RgcJn+BN2eqfGTOQVXbjZVsTUrzzTHZhtl23ppwLKtZy4MJ2UcNy46ItBjX12lonEhA+oyKNInlowFptjI2Tsy3olX2+Zih80RDsqHbE2XGeh89ZJOYHjFYbOuUv+atNnQek+P0qGzreFp23MqgeWA5OiTNVnQafNrHim0JBtJi2rToDjGtPizbtS0l++LoiPz1aF2wzWhbadrhDHNuSsj+/VLrDDFnpcHbVO+gktscCcj+vbFrhLHesyreE9NNQfaQoKENA/IgFVTyYLYrJffLZV3SodKwb+jK1YXkOSFpKCcakMd100ZHDGYthj7abtjPuwzzbUuaf/1+VPlWUXyN4Vi/Ki7PZTHDgX14qF0etwxmEcN+0JIynyhM5fypSX55PLVG/pI9ZWiD+lCr4Zgnj40NSXmS+fwrF8tzddjcpp1b5fLRBnnCLTf8AL2sxbDPtMlppnO/qT8F5eapeJVpQKBUzTrZhokquR8lK+TyqZDsPMGkrHe43XCu7pKOgYTZNmAYHxkPHoZNTIflcSK8Xp4TktvlcTk0Y6oopnOcHKCUvWL/wHf/T6AiKifW1hhmNOyErfK4njZMM5aRlI7JpmZRbjphvpgTCEkz0zRTMJ5OGjpfOrvjoBGRiaUtEJA7dXjaZKNJOmr6MmPY3QzHmcSqNXJGQ78Nj5PjvHSdPN+mw4aDkeF7mlVoWh4zg+2Gu4m65P6aWLt+0PpHeGS9KDsxTfp0DTWM/+Umq5DhOB9IGGw6Dd+hTV5KqeSbme9461n5UI08LidnyeN/2nDOM7V1wHAeTJsvO6jIbnkOTr61Kqt2NR2XkyceIZaN7JLnk+Ry83krq4I9milw3OGipHit/G6UjMr9LVluHvOYhp6Gr53GLQwZxi0VW2T7pV+X/c50bgyPGW0sJ7F1m6vC6ZPlGDpeK4+X4Tb5XU1X5Nm/zXe1Pqws/wJcu86/8b4SSiFA1yGyDnT13eH65sjRo0erE044Qeks57TTTjNiP/74493ZjL6x8uqrr87YKPrvOlPSH72czn0G86Pv6tZ337sVoOt16acyZ/vRvg0NDUo/Al4/0bm/n2eeeUadccYZ1iuRt21z97zS3zqxnP8ECNAH2Ca5BOi6KP3LGh2k//Wvf7Ue0aF/YaPfG3HmmWdaB8oxY2Tosq+K2Qboev62tjarnEceecQK1HVorx8Log+w+n3s+lHy+fowCMmXrDfrJUDv4UyAbmEQoDt9ggDdtiBAd/oEAfrePkGA3t0pCNBtihABenefIEC3KQjQnXMHAbo332tKphQCdKepCdAtiyABenefIEC3KQjQ+z4jEKCXzBmze0O5du1dm/cK0I+6xvtHuL9u3yimHxfeV+6i58n1Ee/7v37XpHr++eerBx54QOnHjvf86DvOr7jiCmuSzm8uuOCCjI3y6KOPqrlz51p/18vpO9IH8zPYAbp+orIO7xcsWCBeX5yLyw9/+EP1jW98w3rU++uvv57LosxbQgIE6CXU2F5tKoMQr6TzUw4Beg9XAnQLgwDd6RME6LYFAbrTJwjQ9/YJAvTuTkGAblMQoDvHCQJ024IA3ekTBOj5+R5TsmslQHeangDdsiBAd7oEAbptQYDe9xmCAL30zqBcu/auzf0SoGezxfrVu7l8qqqq1Ec/+lF1+umnW+8x108X1ndGv/DCC1bQvWvXLmt1H/jAB6ybKfWjwvd9brvtNnXddddZ/6tf76tvrsz00X/fd9f57bffrr7+9a/nUk3X590XoOsfAOi7t/v72bFjh7rnnnusu9lzuQP9yiuvtHxPOukktWjRov4Wr0499VS1ePFi6xXI9957b7/Xw4LFLUCAXtztOyhbxyBkUNhdK5QAvQclAbqFQYDu9AkCdNuCAN3pEwToe/sEAXp3pyBAtykI0J3jBAG6bUGA7vQJAnTXvrqwIi1AgO70AwJ0y4IA3ekSBOi2BQF636cLAvTSO51y7dq7Nu8VoB95jYqWmV+jlo8axbqa1OI35KtKM5WVa4De2Niohg41v8py+/bt6qyzzlL6Pdv68+Mf/1h97Wtf6y765ptvVjfccIP1/88++6z64Ac/mJHgb3/7mxXS649e7tvf/nY+uLJe574APesF+phRm+caoP/xj39UH/vYx6zlnn766W6bXOqjf+SgH6+v1/H73/8+4yuVc1kn8xanAAF6cbbroG4Vg5BB5R9w4QToPQgJ0C0MAnSnTxCg2xYE6E6fIEDf2ycI0Ls7BQG6TUGA7hwnCNBtCwJ0p08QoA/4Kwsr6ClAgO5oEKBbFgToTpcgQLctCND7Pm0QoJfeaZVr1961uV8C9Hw8wv1AimvXrlWHHHKI9Wrd6dOnq3fffbd7kUK/A/1A257L33MN0HXofthhh6m3335b1dfXW3eRz5w5M+sidbvou9f1jxxmzJihVq5caQXpfBAwCRCg0y9cF2AQ4jqppyucvPA2WV7afBKZ+UCHmDe0cYeYlq6Tvy5MVZaJ+ZLRsJhWtrVZTNt9nHw8TKLCXMdASj5+Jx2U8xrnM5w8k+WSJyU3RSUN00zzpUPm5k0bwvtAwlC2oT5dQ1JixuiYNjFt5JAWMW1KzW4xbWKFnKZnaoxXyjZU2Q04OpLOY4v2raQrJdt/RFmrKCMYkG0aMkwLB5JG3BERud1Ty2S/jQbjYvm3OiaIaZtiw8W0xniFmBYOyvq0J2QDtsYNnUcpFQ3LDhAOyLauicRE2cMjsv1NOJWhLjF5SEju54dG3zPaNiarxPQlbVPFtHZD+5cH5fZNLJd976DoFrG+eFr2nYZEjZhvVLjJWO/JEVnO7qTs3+92jRLLm8o51FBH048vhgalbXMqKsrYkhhmrPfwkNw/RoflMXOcoV1Hh6rNB5/9pnakO8V8q+JyH9yWrDWury4o+15bWvbx+pCcb6hhnzEV8naX/MV3VVDWuzEl29TUZ3UZs6ObRFEthmPUa7FJWTlOiNiPbuv5GR5qF9NGh2S9KwPmE0VEyRNFp5LHmZaU4ZxgOL/FDI+rixrm25WS5T7TeqjYlqcbDjHarGkYIaZ37ZDHzPIGud3le+QqTYe3QFL2UcPhUhlOHRnbMxmR57dIu7QNxwznqA45n6nsUIc8Dga7DMsm5LSMFTeMJ5RpfGMYgyXL5cLRV1bLY/ARU8S0tnHy/Dbsn9uM1Uw3ymNzoNwwwDFNa5HHQWUY5ynDeDDVIY/B6U65D6YNy+oNCVXLc56KyPNRulUe31Jxw6AunUO7ZnXkKdyZwpPkeEuFpW1i7Qa5kThaJqbQ0Oq30+X+mg7LfT1gOM4kVsn939TLghXymB6cOE7Mmi6X3wfSOVy8DJges2qYFtgljzGJLVtd30HCM6aJdSaHyLGHyTtea7CIyHYJxeR5Ptwqv7OY2k8ZxgO6wqmlK7KyMPWp4MFym1NVhuO3oQRjHTM8OjfYIr/fJFavzarexTSTad9KHCfHW/Eaw7nIMB4IGsb01vHDMI5KlckVGK9ZGJ5+HGmSfTTyhmy/ZJP5u5rbbZg8/X1ilaF2w3n5pTeyLvqvqUeynpcZ/SHAtWvv2qGn9SlH/Lvnd6AvevNOa2M3bdqU8zvO3VA655xz1OOPP26tavPmzWrs2LHWfxfyO9D13dtuf/Rj7nP5PPHEE+rcc8+1FtGP0v/+97+vPve5z1n/nenT0dFhvY/+m9/8pmpqalL6Tnp9N/vZZ5+dS9HMW2ICBOgl1uBebC6DEC+U81cGAbpja7qAQ4Du+BCg2xYE6D36BAG6hUGA7vQJAnTbggDd6RME6LYFAXqP8RYBuo1B8NvdKQjQB/5djwDdMSRA32tBgD7wHWuQ10CA7k4DEKC741joa+HatXctWOoBun7Pub7bXH/0XfCzZ8+2/vvPf/5zdwB85513qquvvjpjo+i/X3PNNdbfdRi/733o3rWiP0u69dZb1fz587vvHtfvoD/55JPVMcccY92Zrv+/ra3Nei/9a6+9Zt2p3tLSovY9qv973/ueFabzQaAvAQJ0+ofrAgxCXCf1dIUE6D0u6HIHuoXBHehOn+AOdNuCO9CdPsEd6LYFd6D3faomQHd8CNBtCwL0HuMtAnQbgwC9u1MQoA/86x8BumNIgL7XggB94DvWIK+BAN2dBiBAd8ex0NfCtWvvWrDUA/Rrr71W3X777RZ4zwBdP0Z82jT7SS7z5s2z7kjP9NF/X7hwofVnvdyUKfKJQt61qL9KevDBB9UVV1yh9N3l1vfsPp5mtC84r6ioUHfffbe69NJL/bUx1MaXAgTovmyWwq4Ug5DCbj8C9B4XdAnQLQwCdKdPEKDbFgToTp8gQLctCND7PvcToDs+BOi2BQF6j/EWAbqNQYDe3SkI0Af+fZIA3TEkQN9rQYA+8B1rkNdAgO5OAxCgu+NY6Gvh2rV3LdgrQD9cP8Ld/Pq3fNQo1tWsFi0b3Ee468eD68eN64+2GDfOfq2NDnPHjx+vtmzZog4++GDrPdyZPvo96vp933pZ/Sh63tfdW0ob3nHHHepXv/qV2rlzZ0bHuro6dfHFF1t38+9rh3z0O9ZZXAIE6MXVnr7YGgYhvmiGfleCAL3HBV0CdAuDAN3pEwTotgUButMnCNBtCwL0vk+7BOiODwG6bUGA3mO8RYBuYxCgd3cKAvR+f5XrXpAA3TEkQN9rQYA+8B1rkNdAgO5OAxCgu+NY6Gvh2rV3LVjKAbq+W1yH4/F4XE2dOlWtWbOmF/yVV16p7r33XmvaSy+9pI4//njRMC+//LKaM2eONV3Pr++c5pNZYPny5erNN9+0gnT9uPaamhqlg/MjjzxSHXbYYdAhkLMAAXrOZCxwIAEGIQcS8vffZyywf5nX8xOvSRkrPeK1gJg+4l+NYlrHuGq5zqqQmFbzbrOYFmzvFNN2njhSTEsHza6m95grWW0VTKTFClJhOWMwnt18seGyPsmooY4Z6h0bIc2jO+TMyQq5zviouJhYN7pJepdJ2xrDtK6UbCu9smgoIdZZGe6SbWhKCQwUVSG57Khy2SfiaVmfaFBuc2VQrk8XO6lM/hpxaKhN1Kg5JXG3x4eI+d7rko3dmQqL+UIGh8a4LKMjGTF25vZEmZheG4mJaVMq5fadXr1czLctKbdlQ9cI2U+CsgyTg17QtN1JJfvtmDJ5nBgb2SPK3hIfJqaZgkgTWCSQlPtBqNVoW5Ohr+w/87JO+5fCPT8thh17atkOMd/EsNwHY4a+3Jwql2WkTQcPpSaHpVk808Fwv7VOkl1UBQ0Hx7iSx6JOQ8jTkDQfJ3alKsX21Bv2N1PDxNKykkMNbdVgaINlsQlilaY+cXj0PWOfqAvK4+PiDvmYNNMPKEztX2fYZpPD8KA8x1QGDI2llNqdkse9kOH8VhmQbWNqQxOE6RTVZBgS/KtTeq+OjTLavtsmz+FLNk8U88a2yb5Ttttw/N8tiylrlo5BecpSyYgEC3fKZXUJoZicHjKMCYKdEigck8cj0/gkkDLUO24AT5vraAQ3TAyv3y6nlstjj2l96Wp5PGp4f52Ydei79iP0en7Klm80VjGdMDWONDMuXCbPmYGInJbuNIwJDOWmYnLfz+QaMJStkrK9Up3yPJptW5XqfOExo8WmJxt2iWnphDwODqZZeNzYrIpPbN6S1Xz5mCk0dKhc7Th5XA7EpG1izbp+Vyk8doxYNlUvx3mBTMc303TDtHRInieCnYZtefvdfm9LpgXDB8+Q21gpx+/GY2tYnnHTQTnN5BOIGY6hhkJM36v1bIl3e1/MHyhM8MhDxSqCWxvk/tshj42p9nbzeSKZ5TlhoJV3e/mAYSTl8o+lkqe9T9oarmOYNs007tDzBQxjj1S53LdShoGnaZ3poBxvVbws98Fko/yO6HaT6PUFK+UYM2Xoj7n8sO2vqUfyUVXWmUcBrl3nEXe/VfcK0Gdd7f0d6G/9yKqRvnNb3/Ht1uexxx5TZ511lgqHzd/Xt2/fbv196dKlVpH6Dul97zHfV4d33nnHCnUTiYQ69thj1aJFi5R+vPi+j34s+SmnnKJeffVVq5wVK1aoGTPkeMOtbWI9CCAgBQjQ6RWuCzAIcZ3U0xUSoDvcBOi2BQG60ycI0G0LAnSnTxCg2xYE6E6fIEC3LQjQnT5BgG5bEKB7OqQv6MII0PPXfATotm2CAL27kxGg529/UwToFi4Beh77GKvutwDXrvtNl/OCxRqgT5482bqz/BOf+IR1h7j+fx1+6zufn3/+eeud5rt22T8APemkk9Qzzzyjyg0/Wp4/f75asGCBNd/RRx+trr/+euvd6Ppu9VtvvbU7gNfz3XLLLTn7swACCAxMgAB9YH4sbRBgEFLY3YIA3Wk/AnTbggDd6RME6LYFAbrTJwjQbQsCdKdPEKDbFgToTp8gQLctCNAL+zuCl7UnQM+fNgG6bUuA7vQxAvT87W8E6LYtAXoe+xir7rcA1677TZfzgsUcoG/YsOGAHjpg/9nPfqaGmp4CpJRKpVLqi1/8orr//vszruvzn/+8WrhwoQoank5zwAowAwIIDEiAAH1AfCxsEmAQUtj9ggDdaT8CdNuCAN3pEwTotgUButMnCNBtCwJ0p08QoNsWBOhOnyBAty0I0Av7O4KXtSdAz582AbptS4Du9DEC9PztbwToti0Beh77GKvutwDXrvtNl/OCvQL0QwfhEe4r8vMI9xdeeEHpf/S7y/W7zvWd583Nzaq6ulpNmDBBnXDCCeqSSy7pfn/5geCeeOIJKyRfsmSJta4RI0ao2bNnq3nz5lmPgueDAAKDI0CAPjjuRV0qg5DCbl4CdKf9CNBtCwJ0p08QoNsWBOhOnyBAty0I0J0+QYBuWxCgO32CAN22IEAv7O8IXtaeAD1/2gToti0ButPHCNDzt78RoNu2BOh57GOsut8CXLvuN13OCxZrgJ4zBAsggEBBChCgF2Sz+bvSDEL83T4Hqt3Uu+4Qs6QiaeNiI/4VFNOje1JiWvPEkJgWkLOpUJehGMN8pmUDaXMdA0m5TtPyabkpSgUM9TEUkyyXMyajctmEYZpxm5VSFTtlQcG4nLbtBFlOzeQmMXFMbbOY1pWU7RINJ8R8Q8s6jO0/JCKnN8UrxLxVYdmw8ZQsu768VSwbVIYOYKjNkLCsy/Ty7cZ6R4NxMX1zfJiYFjKUHTJ0HlOYXB2KifXt6KqV+0ZCetUatkUvmFSyk04pbxDrHB6WjhPDu8V86+MjxLQNXXLa5s6hYr63rjnCaFv23h7Zf37VKKZ9cfQLcr6gbMMlHVPEfBHTTm2ozeiILDdp3NGVigZknzBuoPEQZdj/DW11eJn97qsDfdbGa+S+mpb7i57pqHK5X1cGwmL5ppTcvk2JcjFf0nDQi6fl+oaH2sWyNRnaZbvhYNiWLhPLb0vIfpZMS9uUwdZkWh+WNhElTwijwy3GJlnROUZMb0jItnm9daKYb2alPPYcEt0s5hsXln20MSWPCZn656Z4ndyPQm1i2lTDvrAlUS3mqwzKY3VtQE7blpTLPtksjwnr2uTxRBfa2CVPhht3y2Nw53rpHW2QfaJMNrUqa83uHGo4HahAyjyeiLTJ81GoU/apQELOZ7pwHDAXI9rFtD4VMA1QzEeXQJesY/rVZQc6FFl/D4QjYr7U8YeJac1TZL8d+o7si8Hla43lBqoq5fTqKjEtvUueY1RCjlsChncLprtMg0xZbNqwvmyX1WtLJw0Dz6y0makYBMLjx8l+2yLHZckmOVYfzO03/WAhsXVbVlUKVctzQirWKY9lZfJ4Ehw6RJZh2Af1TIkGwzgqLY+3wUp5PEl3yXFQOtH/sZ8xFFVKhcfJsYMJMVUvtzsdMXxfNpxjVFh+HwjEDccdw7EosFOOOyzb7TuyamtmGnyBYIU833adJM/LgUR2g4xM11CUYfFURPY901cr0/gmFZLjlsolckyQ2Puu4MGXzr0Gf009kvtCLDGoAly79o6/p/UHDrlKRcvktbF81SbW1awNBYRBAAAgAElEQVReWPlja/WbNm1S48ePz1dRrBcBBIpUgAC9SBt2MDeLQchg6g+8bAL0HoYE6BYGAbrTJwjQbQsCdKdPpAyhs+nHDgTojhkBum1BgO70CQL0zOM3AnTHhgB94ON81pBfAQJ025cAve9+RoCe3/2wmNdOgO7f1iVA92/bZKoZ1669azMCdO+sKQkBBNwXIEB337Tk18ggpLC7AAF6j/YjQLcwCNCdPkGAblsQoDt9ggDdtuAOdKdPcAe6bcEd6E6f4A5024I70Av7OwK1P7AAAbptRIDed18hQD/wvsQcZgECdP/2DAJ0/7ZNpppx7dq7NusVoB/8Ne/vQH/7LmtjuQPduzanJASKSYAAvZha0yfbwiDEJw3Rz2oQoPeAI0C3MAjQnT5BgG5bEKA7fYIA3bYgQHf6BAG6bUGA7vQJAnTbggC9n4NzFisYAQJ0u6kI0PvusgToBbNL+66iBOi+a5LuChGg+7dtMtWMa9fetRkBunfWlIQAAu4LEKC7b1rya2QQUthdgAC9R/sRoFsYBOhOnyBAty0I0J0+QYBuWxCgO32CAN22IEB3+gQBum1BgF7Y3xGo/YEFCNBtIwL0vvsKAfqB9yXmMAsQoPu3ZxCg+7dtMtWMa9fetRkBunfWlIQAAu4LEKC7b1rya2QQUthd4KCb7xQbEK9NGzeqZp1MmOOVctZASk4LdhmmJeS0UNwwX1zWJx0wpd1KBZOmeeU6U2HD8kE5XzJiWtawzQYxk0NZcwbbTRIoGZEV2nRGWJRUPa1RTJswRE4zNerIihYxua6s3dj+dRE5b0jJ7WlKVIjlmw3TasMdYr7yoOwUphB7SEjWsT1Vbqx3LCUb0bTO8qDsfKm0bAPT+lqTsuxGw85h2r5JFTuN9T6mYr2YPjQozeLpkJhvfXyEmLahS06LBJJivp8+dJaYNu4/X8z6QDd/7Zti3qnhZjFtt6FdNiWGG7ZZtrXpndrRgGy/pKH9dAFbEsNkOYY+NTm8S8xXY+ijLSm5X5rmMxxiVIuh/Uz7la5I3LA9k2TRaoPh2Lq8a6zYlsakPICPi+yRx5PwbjHN1FZ6pjfaJ8r9PymPCeWG9poSbRDLHlq+WUyLBgzHCcOxKBiQx6fdhm3WBazpGinKWdExTkzbGqsV046seU9M+0DV22LaqFBMTFvSKdulISHL0AvWGPZ/U3uZ+v2qzjGi7LGGtk4qUy+Vu/+S1qli4vImWYae6d0d9WLeZEIet9Lbo2K+yvfkubrccHoLdcm2DnfIacGEnBYyjDF0RYJdcjATSMnly9/aJIGqq8S0xEjZrqb1Bbpk/06HpJdVQEj6hBrk8TaxVp5PZKWVCh0yU+6/s+RxuWOE7Cd1y+SxOrJdjht0AV1jh5iKF9PKVkrbdJdhoJg2jP1inbKMoPRKdxkGqBlql07Kc2ZWG8JMRSsQLJfHrVSnPNYXE0CopkZsTmD4UHmcf2+LmFYK+1CwUo6tUkfMkGYpwzkmIacFt8txWXK7HC+lE4ZjYzF1PKVUICy/0/ltu0ND5PktEDV8R00YzidD5TghMUquL1EpB/8Bw3lQma7JGPqY1U1M59FwdmNCUzcrWyf7aGKDYbxUwH2UAL3wGo9r1961We8A/asqGjF/v81HjWLxZvXC2z+xVs0j3PMhzDoRKH4BAvTib2PPt5BBiOfkrhZIgN6DkwDdwiBAd/oEAbptQYDu9AkCdNuCAN3pEwTotgUBeo/xBAG6hUGA7uqQnZX5UIAA3W4UAnSncxKg529HJUC3bQnQ89fHclkzAXouWv6Yl2vX3rUDAbp31pSEAALuCxCgu29a8mtkEFLYXYAAvUf7EaBbGAToTp8gQLctCNCdPkGAblsQoDt9ggDdtiBA7zGeIEC3MAjQC/s7ArU/sAABum1EgO70FQL0A+83/Z2DAN2WI0Dvbw9ydzkCdHc9vVgb1669ULbL6BWgH/QV7+9AX/Vf9jWLTZvU+PHjvdtwSkIAgaIQIEAvimb010YwCPFXe+RaGwL0HmIE6BYGAbrTJwjQbQsCdKdPEKDbFgToTp8gQLctCNB7jCcI0C0MAvRcR+XMX2gCBOh2ixGgOz2XAD1/ezEBum1LgJ6/PpbLmgnQc9Hyx7xcu/auHQjQvbOmJAQQcF+AAN1905JfI4OQwu4CBOg92o8A3cIgQHf6BAG6bUGA7vQJAnTbggDd6RME6LYFAXqP8QQBuoVBgF7Y3xGo/YEFCNBtIwJ0p68QoB94v+nvHATothwBen97kLvLEaC76+nF2rh27YWyXUavAH3GINyB/i53oHvX2pSEQPEJEKAXX5sO+hYxCBn0JhhQBQ77jzvF8okq8ypDHXJ6skJOq1mfFhO7hgTEtGCXXDYYl9NCcbm+VEiuLxNEIG1YPiKXT4UN2xeR01Llhmmm+QzTKraba1nZkBJ/2DNTJvoTP7RBzBcNJcS05i5ZyRHRdtnWaVlGXXmbsZLhQFJMP7p6o5j2Vpt8RFLcUE4kILe5Niw72bToDrnNho6yPT7EWO/dhg49ItIi5o2nQ2JaazIqpjUlZKdvS0jv8qBsl4qQ7PTjyvcY6x0xeNeHm8W8VcFOMW1VbKyYVmmYb2xElj0u3CjLCMhtybS/BQ27ZjwtJyaVnBZScl9tS8sdaXeyUhS/KV4npjUa5tMz1QRjYt4TKteIaTWGNhgelPXpVHLf2JSQ/Wlbslb25YA86CUN+4tecEtimFj+0PIthu2WfXRpx2Qx39Yuuc8cVrk5U9P2mv5a6yTjfClDW0+Iyn52RIU8dpj2wfqQYV9V0rbNcGCOGmxXdI4z1rszJdv1uZ0zxbwjo61i2uE174lpB5VvlcsatmVNfKSY77U22VZ6ptFlct80lZNS8ri+tF2217CwPNab9o2UYV99bs/Bot7Ld4422jZukv0skJD7f/kuWe/oTrnKkNx9VbhTHjvCHXJaqFOed4KGMYZVqmHsoAKy3uE2uQ9H1hpO9kG5fcmt28QGplOGehsCeb1gYLTsPyoltzGxZl1W+3X6pKPEfE3T5PEkZBirdVUZjvOGMaIuwDTeGrJOHkdr3pTnf9Ui98F0pzy3ploN8xlsVVp6ZYXFTAgg0C0QHi/PrYn3shtPlAJj8MhDxWYGEnJsnVyxWnJwjPJlFwlPn2qsV9dYw5jHcO5JlcuxbCosxwnpsOGLlWmcEJPnskBSTitb32Aev+/cLaanjpwh+61hncFVckyfbGryZbu5WSkCdDc1vVkX1669cdalEKB7Z01JCCDgvgABuvumJb9GBiGF3QUI0J32I0C3LQjQnT5BgG5bVBGgd3cKAnSbggDdOU4QoNsWBOhOnyBAty1MP7LU0wnQC/u7A7VHYH8BAvS++wQBevHtMwToTpsSoBdf/y7WLeLatXctS4DunTUlIYCA+wIE6O6blvwaGYQUdhcgQHfajwDdtiBAd/oEAbptQYDu9AkCdNuCAN3pEwTotgUButMnCNBtCwL0wv6OQO0RyFaAAL1vKQL0bHtS4cxHgO60FQF64fTbUq8p16696wE9rU+d/mUVjcgn8eWrNrF4s3p+9d3W6jdt2qTGj5dPyMxX2awXAQSKQ4AAvTja0VdbwSDEV82Rc2UI0B0yAnTbggDd6RME6LYFAbrTJwjQbQsCdKdPEKDbFgToTp8gQLctCNBzHpazAAIFKUCA3nezEaAXZLfus9IE6A4PAXrx9e9i3SKuXXvXsgTo3llTEgIIuC9AgO6+acmvkUFIYXcBAnSn/QjQbQsCdKdPEKDbFgToTp8gQLctCNCdPkGAblsQoDt9ggDdtiBAL+zvCNQegWwFCND7liJAz7YnFc58BOhOWxGgF06/LfWacu3aux7QK0CfdqX3d6CvucfaWO5A967NKQmBYhIgQC+m1vTJtjAI8UlD9LMaR1xzp1gyWW5eWXSXnF73ZouYGIgnxbSmQ4aIaR0jAnLZhCwj0p4WE9NyUWueVFj+IZiQywfkJNVVLZc1WZguCHcNkSuMTm8W9e5cJR30TBXb5Ha3TEuJibOPXi2mHTVkk5i2oaNOTNvcLsseWSHbrzYcM3aAHZ01YvqEij1iWkNXtZhWV9Yu+5mhESMB2XcOrtgqlg0FpE1LMmqs99auoWJ6ZahLTDMt35GMiPmChs4zJNwh5hsWbhPT2lNlYlp9WLaBnml4qFXaJuSjr9pTcoeNpcNi2eEhWZ/Do7Lv1Idk+8cz7XBGcUNfNmx3Usn9bVtC9tENXfVihbsTVYY27RTTxkYajTWcGtkhpk+OSJ+agHTcnpR9dFdK9r2IoY82JOW+sS0u+6epf+sKtxnauiYo+97QkNzf3orJR5e93TrG0L/lvhUz7AfDDPu0XtnUioas2iESkAf7OkOfj6XlPtiYlO2/xeBo6vOvtk429om2hNyP3muT/XFKzW6x/OHV7xm2WR4bV3eOEvPtisvjarvBWy84rlz251kVsuwJYVnHJ1uOyOqYN75MLms6Lj+z61Cxvre2jzbadmyT7VWxNSSP67Irq1BcrjIkd3UV6pTn4Eib4URvmFS7ynycMI1l4iPktkQa5LFadcqKJzfJtkobjidqzpFyv2w3QCilgjtkeyV3yH3QVE74oOminI5J8njUPFmet0zjqqbphvGXPNVaZRpO9apuhTz2VG2Qx+XQlp2i3qmdcoCa6spQeJbnLWZDAAEE3BIIhOQ5z3j8d6vAA6wnWCaP64HKSrFUstF8fvSomr4pxnS+TFWbv3eqlDyXqWBQbEs6YLgOYlg2WSnHwelghgshWYhFGs3f81PL35HjstFy3JpuleflZFNTFiXnZxbTvhWsqJDjhJgcPKYT5rFVtjX9a+qRbGdlPp8IcO3au4YgQPfOmpIQQMB9AQJ0901Lfo0MQgq7CxCgO+1HgG5bEKA7fYIA3bYgQHf6BAG6bUGA7vQJAnTbggC9x3iQAN3CCBKgF/aXBGqPAAKuCBCgu8I4aCshQHfoCdAdCwL0Qdsl+10w1677TZfzggToOZOxAAII+EiAAN1HjVEsVWEQUtgtSYDutB8Bum1BgO70CQJ024IA3ekTBOi2BQG60ycI0G0LAvQe40ECdAuDAL2wvyNQewQQcEeAAN0dx8FaCwG6I0+A7lgQoA/WHtn/crl23X+7XJfsFaBPucL7R7ivu9eqMo9wz7XlmB8BBLQAATr9wHUBBiGuk3q6QgJ0h5sA3bYgQHf6BAG6bUGA7vQJAnTbggDd6RME6LYFAXqP4RsBuoVBgO7pkJ7CEEDApwIE6D5tmCyrRYDuQBGgOxYE6FnuQD6ajWvX3jUGAbp31pSEAALuCxCgu29a8mtkEFLYXYAA3Wk/AnTbggDd6RME6LYFAbrTJwjQbQsCdKdPEKDbFgToPcaDBOgWBgF6YX9HoPYIIOCOAAG6O46DtRYCdEeeAN2xIEAfrD2y/+Vy7br/drku2StAn6zvQK/JdRX9nj8Wb1HPr+cO9H4DsiACCHAHOn3AfQEGIe6bernGk8+/TRQX3Wl+aWV4/XYxb2rXHlndUFBMC04cJ6a1zRgmppU1xsW0xhlRMS0dDBiZ0iHD5LScZpovWSbnM06rkPN1DZGFlE1qFTPG2gyFKKXKNpWLeeMTY2La8dPXiWkfqXtTTNueGCKmvdM2WkxrSchyR5a3GG13dMpBbzQk26srFRbLD4l0iGnDwu1i2piyRmmWjohp7UlZ7/aU2bbNsI31ZXIbWw3rrAzJfWFkpFnUJ6RScj8KSptIICnmqw/J9emZygzzvts1SizfkJDtUmlILQ6PbhLLHl4m++jupOzL25LVxj5RE5R9NG7YuZJK7q9vd44V61zXWS+mdRr608TyXVl5T4jI+fSCk8Oyn40KyYNHQ0q2V0RJn+1JeYyKGfrtjqRsq6Zkpdwvk4aDjFKqyTA9npL13pOQ6zTtl9s7ZH3CQdmXD63ZKuo4LbrD2Cfqw7I/m/uEPE+s6xwp1hkMyPqY9n/TNocCsq3WtdUZ672tLbsv9SMr5T4zZ9haefw27AcbOsxl77/wqHLzMaEmJPe3g6KybYYHZR1fi00WdVzdLo8nx9bIc8yW+FDD+UQu++rWiUbb5oYqMb18qzyuVzTIxcPy1KGCCdmuoU45zdD8qnx3QtZl8XJjvYO1hj5hmtbZKZZPbd8pp3XK9jMVHPvocWJy0xR5XtUz1b8h1xl8/jXj9oiJAbkPtn9stpitcYY8xpjaJTbcUKx5qKbSsmgVMQw96l+X5+CKt7eJgpKb5X6QTsrjd3YwzIUAAgggUKoCoUNmyk2PyPNgoMN8vSS9TY6PA5WGcX1YntfTw2tF2emg4YQZynBy3W/ptKHewVbzWCS97j05bmmX39U96ReG8YkuN3zQNFnHKnlNQK1YI+frMAwoB7gxBOgDBByExbl27R06Abp31pSEAALuC3AHuvumJb9GBiGF3QUI0J32I0C3LQjQnT5BgG5bEKA7fYIA3bYgQHf6BAG6bUGA7vQJAvS9FgTohf0lgdojgAACJSZAgN5jLEOA3mfvJ0AvvIMD1669a7PeAfrlKhrO7sfqbtQwltB3oN9nrYp3oLshyjoQKD0BAvTSa/O8bzGDkLwT57UAAnSHlwDdtiBAd/oEAbptQYDu9AkCdNuCAN3pEwTotgUBeo+LztyBbmMQoOd1DM/KEUAAAQTcFSBA7zGWIUDvs3MRoLu773mxNq5de6Fsl0GA7p01JSGAgPsCBOjum5b8GhmEFHYXIEB32o8A3bYgQHf6BAG6bUGA7vQJAnTbggDd6RME6LYFAXqPi84E6DYGAXphf0mg9ggggECJCRCg9xjLEKD32fsJ0Avv4MC1a+/ajADdO2tKQgAB9wUI0N03Lfk1Mggp7C5AgO60HwG6bUGA7vQJAnTbggDd6RME6LYFAbrTJwjQbQsC9B4XnQnQbQwC9ML+kkDtEUAAgRITIEDvMZYhQO+z9xOgF97BgWvX3rVZrwB90jzvH+G+4b+tjeUR7t61OSUhUEwCBOjF1Jo+2RYGIT5piH5WgwDdgSNAty0I0J0+QYBuWxCgO32CAN22IEB3+gQBum1BgN7jojMBuo1BgN7P0TmLIYAAAggMhgABeo+xDAF6n12QAH0w9tCBlcm164H55bI0AXouWsyLAAJ+EyBA91uLFEF9GIQUdiP+v2O/IzYguHWXcaPSLa1ieirWKZevrpLLTxwjpqXfXiOXrakR03acf5AsN2J2Twfl9HQou2mpsJwvGZXTEhVyWnxYUkwsq+8Q08IhOZ+eqTNWJuYdOqRNTDtljDSrDsk2GBVpEsuuiY0U0za2DxfTqsNyfXqmxi654ZOrZF9pTki0LgOuKahPpeXV9mAgndVO1mlqQKWUyccU/rWnykU5cUPnqQxKn+Fh2VbRQJdYXyQg239osN24fQ1JuS9sSwwV84ZUSkybXNYgph0U2SP7aEB6lwfkTvRewpyCrE/UiXXGUnLnjKXltKRpZzVIbE/UiqlNiUoxbUq53OYZ5duMtlWGttmVksctk+3wkLm99i8oZuiPtYa+sysltyWkzH1+fXyE2J7diWoxbXnbWDGtISbna43L405lOC6WPWzIVjFtenS70dbUrqb27zT0k90J2QabO2SfTxj6zuhos6iP6ZiwrlX2Wb3grnZZdldSnjwqItJn6hB5HAwH5H65pV325ZEV8rx6dO1Go21NMCam14TkNNPC/2yZmpXP1Iqdhv1NHvvXd0jHLW1y+/TK3ts1TFZpjfSuNOyuhtObCsbl/hHdI72TZfK4FWmX81W9bR7zqCbZpxLTx8nzRLUcPESaZT8JtctzQvLNlWJ9zRfNEdMaZ5qPweOfk+0ffP61rM6Z4YNniPne+Zw8xphWVt4o69MlT1kZ62Fq1+r35Ox1y+T+EVi2WsyYGqyL/FlJMxMCCCCAQKEIhGbJ6w6BuPz+llyzwbhJ6YQ8/2e77eHJk+T5bZjhuophhYGEHN9kW66eL9AmxxOJtetzWUW/5g2E5XfE0Kh687pqpEXa8F02+bYcJ6j0wHxMFSJA71eTD+pCXLv2jr9XgD7hS97fgb5pobWx3IHuXZtTEgLFJECAXkyt6ZNtYRDik4boZzUI0B04AnTbggDd6RME6LYFAbrTJwjQbQsCdKdPEKDbFgToTp8gQO97UEqA3s9BO4shgAACCORVgADd4SVA77urEaDndVfMy8q5dp0XVuNKCdC9s6YkBBBwX4AA3X3Tkl8jg5DC7gIE6E77EaDbFgToTp8gQLctCNCdPkGAblsQoDt9ggDdtiBAd/oEAXrfY2MC9ML+7kDtEUAAgWIVIEB3WpYAve9eToBeeEcBrl1712YE6N5ZUxICCLgvQIDuvmnJr5FBSGF3AQJ0p/0I0G0LAnSnTxCg2xYE6E6fIEC3LQjQnT5BgG5bEKA7fYIAve+xMQF6YX93oPYIIIBAsQoQoDstS4Dedy8nQC+8owDXrr1rs14B+vgveP8I9/d+Zm0sj3D3rs0pCYFiEiBAL6bW9Mm2MAjxSUP0sxoE6A4cAbptQYDu9AkCdNuCAN3pEwTotgUButMnCNBtCwJ0p08QoPc9KCVA7+egncUQQAABBPIqQIDu8BKg993VCNDzuivmZeVcu84Lq3GlBOjeWVMSAgi4L0CA7r5pya+RQUhhd4GTz79NbEC4I2XcqGBcTg/viYl5g+2dYlrH1OFiWnTJ6qzwdp53sJgvXh0wLpsOysmpiJyWDslpiQo5LVlumG9IUkwsq+8Q06orpENFJG6sd225dJxevVPaBmQbjCxrycpxRFjO92LTdLHsjli1uY4RuT2H1GyVbZOSuA1dNWK+ze1DxLSUku1aayh3bEWjWDYSkO2iZ5pZsU3M25aSDWsKy03rjAZkG8bShk5mUBwaahdT68PNRu+6YJuYvi0pzYJK9olxYelTE0yI9Q0NSu+WlFzfmvjQrPqYnmloSO4LtYGurJZvNLTLO12jxLJvd4yV/c6wUwcDaWO5IYNZUsmDx5gy6Tghskus07SsqYzDy7dn5dBu2If0go0peZBa0zVSrPONtgli2trWEWJaa7xMTIslZF82HZ/Kgub9rSxkOD4a+l5rXO6DsWRYtmtSHk+qIrI/JQwH/0RKtmk8g21Qyb5iKmdra62oY3tMOoZCcj8aViX3//KQ3C/DQfM5eGS0VZQ9sWK3mDYiIufb2iWPHWva6sWydWXyuDOzSh5D32kbLZbdHpPHeT3TG2vHi3mja2X7V+yQu0eoU7ZLyHAaDXcY9vW0nBZpk7YVq+W5VtckMUqaxWvk/mEed8hja7zKMEAJyPlax8hpHWPMx7JURE6f9LjsU9FX5HgrcfgUAb7632S7GIYdqnyn3BbTWMtwSrfKrNkg2zq6Wx47apfJtkmsXicXTpv3mawOuMyEAAIIIFD0AqEawxhl/Bix3YF2+T0msWGTJz7hkXJcpsJybJzcYbhGUCu/vyf3NIl6h8fK8ZueKd0htzu5e48n2511IQHDOGoQz/8E6Fm3nG9m5Nq1d03RK0Af93nv70Df/HNrY7kD3bs2pyQEikmAAL2YWtMn28IgxCcN0c9qEKA7cATotgUButMnCNBtCwJ0p08QoNsWBOhOnyBAty0I0J0+kYoQoFsa5t86EqD3c8zOYggggAAC/RMgQLfdCND7139MSxGgu2fp1Zq4du2VtFIE6N5ZUxICCLgvQIDuvmnJr5FBSGF3AQJ0p/0I0G0LAnSnTxCg2xYE6E6fIEC3LQjQnT5BgG5bEKA7fYIAfa8FAXphf0mg9ggggECRCBCg2w1JgO5ehyZAd8/SqzVx7dor6f0C9DGf8/4O9K33WxvLHejetTklIVBMAgToxdSaPtkWBiE+aYh+VoMA3YEjQLctCNCdPkGAblsQoDt9ggDdtiBAd/oEAbptQYDu9AkC9L0WBOj9HJ2zGAIIIICAmwIE6LYmAbp7vYoA3T1Lr9bEtWuvpAnQvZOmJAQQyIcAAXo+VEt8nQxCCrsDEKA77UeAblsQoDt9ggDdtiBAd/oEAbptQYDu9AkCdNuCAN3pEwToey0I0Av7SwK1RwABBIpEgADdbkgCdPc6NAG6e5ZerYlr115JE6B7J01JCCCQDwEC9Hyolvg6GYQUdgc47D/uFBuQDpm3KVafFn9I1XWJadN+IedLlsuVRre0yIIC8mrrrmOGivk66sxXZdNBucp0WE5LGaYlK+R8ieqUmBge1SGmDa1uF9PKIwkxrSIcN+JWR6TjxMrdWXWuukibmG94uFVMO6h8q5i2IT5CTGsxQSilakJyu9fF6sXycUMH2hobIstuHSamDSmLiWmH1G4T08aUNYlpwYBsq0yArcloVrammWKpiJhcGeoU0yaV7RLTJoTltDqDq14watieBkO9hwZl2eUBuQ/uNtQ7pOR80UDSYGvmSsnFVcRQ9vCg3OFa0nL/aEhK2+WdY0XhazpHyToatqXTtKMrpUx91DQtlZbHmZFl8rhVGZT779TyHYY6yj4aMrTztrg85umVbU/UinXuiVeJaZs65L7V3CX7fFfKcFwOyXYJB2W92xOyrXRFwobtSRlehJxIGQ7Whm42vFwed3Z3Gg7WhmU7DHWMBGX/1ouOrJDH0e3t1WKtu9srxbTaCnncmlSzR8xnsnmvTR4bkxlshkWlRW1Elj0mKo+Ppr68pk0ev6MheY4aE20W29Icl/1p2e4xxgPF1g11YnrVGnlMiMjTVsZ3aO+/wkibPBiFY3JaWZNs//Jd0lCvPzZS9rNA0nDQM2y1KUCvfOYtMWfjx46UfexQedwxjUX0gukyWZ90xHCcaZHe6aBcNpCSZYfaDdPkIU8lDKfVqDzlWdtbvUWWPfStRim5YYuYlmyS/dt8hmIqAggggEApCgTCcowanDFFUpiuG6zdJOZLdcjxVym6ss29BQjQC69HcO3auzbr9Q700Zd5/0ZVQtoAACAASURBVAj3bb+wNpZHuHvX5pSEQDEJEKAXU2v6ZFsYhPikIfpZDQJ0B44A3bYgQO97ZyJAd3wI0G0LAnSnTxCg2xYE6E6fIEDfe5wgQO/uFATo/Ry0sxgCCCCAwAEFCNAPSMQMLggQoLuA6PEquHbtHTgBunfWlIQAAu4LEKC7b1rya2QQUthdgADdaT8CdNuCAL3vfZoA3fEhQN8bjHEHenenIEC3KQjQneMEAfre4wQBenenIEAv7O8O1B4BBBDwswABup9bp3jqRoBeeG3JtWvv2kwE6CH5ZLd81SaWbFXPcwd6vnhZLwIlIUCAXhLN7O1GMgjx1tvt0gjQHVECdNuCAL3vvYwA3fEhQN8bjBGgd3cKAnSbggDdOU4QoO89ThCgd3cKAnS3R/OsDwEEEEBgnwABOn3BCwECdC+U3S2Da9fueva1NgJ076wpCQEE3BcgQHfftOTXyCCksLsAAbrTfgTotgUBet/7NAG640OAvjcYI0Dv7hQE6DYFAbpznCBA33ucIEDv7hQE6IX93YHaI4AAAn4WIED3c+sUT90I0AuvLbl27V2bEaB7Z01JCCDgvgABuvumJb9GBiEl3wUAQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEfCfAtWvvmqRXgD7qUhX1+hHu2x+wNnbTpk1q/Pjx3m04JSGAQFEIEKAXRTP6ayMYhPirPagNAggggAACCCCAAAIIIIAAAggggAACCCCAgFJcu/auFxCge2dNSQgg4L4AAbr7piW/RgYhJd8FAEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBHwnwLVr75qkV4Bef7H3d6A3PGhtLHege9fmlIRAMQkQoBdTa/pkWxiE+KQhqAYCCCCAAAIIIIAAAggggAACCCCAAAIIIIBAtwDXrr3rDATo3llTEgIIuC9AgO6+acmvkUFIyXcBABBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAd8JcO3auybpFaCP+Kz3d6Dv/JW1sdyB7l2bUxICxSRAgF5MremTbWEQ4pOGoBoIIIAAAggggAACCCCAAAIIIIAAAggggAAC3QJcu/auMxCge2dNSQgg4L4AAbr7piW/RgYhJd8FAEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBHwnwLVr75qEAN07a0pCAAH3BQjQ3Tct+TUyCCn5LgAAAggggAACCCCAAAIIIIAAAggggAACCCDgOwGuXXvXJL0C9LrPeP8I910PWRvLI9y9a3NKQqCYBAjQi6k1fbItDEJ80hBUAwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKBbgGvX3nUGAnTvrCkJAQTcFyBAd9+05NfIIKTkuwAACCCAAAIIIIAAAggggAACCCCAAAIIIICA7wS4du1dk/QK0Idd5P0d6Hv+x9pY7kD3rs0pCYFiEiBAL6bW9Mm2MAjxSUNQDQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFuAa5de9cZCNC9s6YkBBBwX4AA3X3Tkl8jg5CS7wIAIIAAAggggAACCCCAAAIIIIAAAggggAACvhPg2rV3TUKA7p01JSGAgPsCBOjum5b8GhmElHwXAAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEPCdANeuvWuSntYfGHqh549wf6Hx19bG8gh379qckhAoJgEC9GJqTZ9sC4MQnzQE1UAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDoFuDatXedgQDdO2tKQgAB9wUI0N03Lfk1Mggp+S4AAAIIIIAAAggggAACCCCAAAIIIIAAAggg4DsBrl171yS9AvQhF6posMqzwmOpNvVCE3egewZOQQgUoQABehE26mBvEoOQwW4BykcAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDYX4Br1971CQJ076wpCQEE3BcgQHfftOTXyCCk5LsAAAgggAACCCCAAAIIIIAAAggggAACCCCAgO8EuHbtXZP0CtBrP+X9HejND1sbyzvQvWtzSkKgmAQI0IupNX2yLQxCfNIQVAMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgW4Br1951BgJ076wpCQEE3BcgQHfftOTXyCCk5LsAAAgggAACCCCAAAIIIIAAAggggAACCCCAgO8EuHbtXZMQoHtnTUkIIOC+AAG6+6Ylv0YGISXfBQBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR8J8C1a++apFeAXv1v3j/CvfW31sbyCHfv2pySECgmAQL0YmpNn2wLgxCfNATVQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEOgW4Nq1d52BAN07a0pCAAH3BQjQ3Tct+TUyCCn5LgAAAggggAACCCCAAAIIIIAAAggggAACCCDgOwGuXXvXJL0C9Kq53t+B3vaItbHcge5dm1MSAsUkQIBeTK3pk21hEOKThqAaCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAt0CXLv2rjMQoHtnTUkIIOC+AAG6+6Ylv0YGISXfBQBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR8J8C1a++ahADdO2tKQgAB9wUI0N03Lfk1Mggp+S4AAAIIIIAAAggggAACCCCAAAIIIIAAAggg4DsBrl171yQ9rU+p+ITnj3Bf1PE7a2N5hLt3bU5JCBSTAAF6MbWmT7aFQYhPGoJqIIAAAggggAACCCCAAAIIIIAAAggggAACCHQLcO3au85AgO6dNSUhgID7AgTo7puW/BoZhJR8FwAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDwnQDXrr1rkl4BevTj3t+BHvu9tbHcge5dm1MSAsUkQIBeTK3pk21hEOKThqAaCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAt0CXLv2rjMQoHtnTUkIIOC+AAG6+6Ylv0YGISXfBQBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR8J8C1a++apFeAXv4xFQ1UeVZ4LN2mFnX+n1Ued6B7xk5BCBSVAAF6UTWnPzaGQYg/2oFaIIAAAggggAACCCCAAAIIIIAAAggggAACCDgCXLv2rjcQoHtnTUkIIOC+AAG6+6Ylv0YGISXfBQBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR8J8C1a++ahADdO2tKQgAB9wUI0N03Lfk1Mggp+S4AAAIIIIAAAggggAACCCCAAAIIIIAAAggg4DsBrl171yS9AvSy81U0UOlZ4bF0u1rU9QerPB7h7hk7BSFQVAIE6EXVnP7YGAYh/mgHaoEAAggggAACCCCAAAIIIIAAAggggAACCCDgCHDt2rveUCoB+saNG9Vdd92lHn/8caX/u7y8XE2fPl3927/9m7ryyitVZaV3PxzwrnUpCYHiFyBAL/429nwLGYR4Tk6BCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgcQ4Nq1d12kp/XJ4fM8vwN9ceKP1sbm8w50HZpfdNFFqqmpyQh70EEHqSeeeEJNnTrVO3hKQgABVwQI0F1hZCU9BRiE0B8QQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE/CbAtWvvWqTYA/Q33nhDnXDCCaq9vV1VV1er+fPnq9NOO011dHSohx9+WP30pz+1sA8++GC1ZMkSax4+CCBQOAIE6IXTVgVTUwYhBdNUVBQBBBBAAAEEEEAAAQQQQAABBBBAAAEEECgZAa5de9fUvQL00Lne34GefMza2Hzdga7D8ueff16Fw2G1aNEiNWfOnF64t912m7ruuuusaTfddJO64YYbvMOnJAQQGLAAAfqACVnB/gIMQugTCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAn4T4Nq1dy1SzAG6vqP8uOOOszDnzZun7rvvPgGbSqXUrFmz1MqVK9WwYcPU9u3bVSQS8a4BKAkBBAYkQIA+ID4WNgkwCKFfIIAAAggggAACCCCAAAIIIIAAAggggAACCPhNgGvX3rVIMQfo3/rWt9Qtt9xiYb788svq/e9/vxF2wYIF1qPd9efpp59WH/7wh71rAEpCAIEBCRCgD4iPhU0CDELoFwgggAACCCCAAAIIIIAAAggggAACCCCAAAJ+E+DatXct0tP6pMA5nj/C/e/pP1sbm49HuJ9yyilq8eLFqqqqSjU2NlqPcTd9XnrpJes96fqjH+GuH+XOBwEECkOAAL0w2qmgaskgpKCai8oigAACCCCAAAIIIIAAAggggAACCCCAAAIlIcC1a++auZgD9Pr6erVz50515JFHqtdffz0j6p49e9Tw4cOtv8+dO1f99re/9a4BKAkBBAYkQIA+ID4WNgmsX79eTZkyxfrTK6+8osaMGQMUAggggAACCCCAAAIIIIAAAggggAACCCCAAAKDKrB169bud1evW7dOTZ48eVDrU8yF9wzQZ6sPqnIV9WxzO1VMLVF/yzqjGD9+fNZ1i8ViqqKiwpr/7LPPVn/+s32ne6ZPdXW1amtrU8cff7zSd6TzQQCBwhAgQC+MdiqoWi5ZsqR7EFJQFaeyCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAiUhoG/+mj17dkls62BsZM8AfTDKz6XMdDqd9ewNDQ1q5MiR1vyf/OQn1cMPP9znsqNGjVI7duxQs2bNUsuWLcu6HGZEAIHBFSBAH1z/oiydAL0om5WNQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEikaAAD2/TVmsAbp+p/rEiRMtvM9+9rPqwQcf7BNSz6uXmTZtmlq9enV+0Vk7Agi4JkCA7holK9onoB9hsu+XVPpdIOFwGBwECkKg5yOceP1AQTQZlUSgTwH2aToIAsUnwH5dfG3KFiHAfk0fQKC4BNini6s92RoEtECx7deJRELpO4j15/DDD1fRqHePFS+1HqWtt23bNqibrftvNhlFLo9w5w70QW1SCkfAMwECdM+oKQgBBPwu0PNXkfpXgbkMnPy+bdQPgVIUYJ8uxVZnm4tdgP262FuY7StFAfbrUmx1trmYBdini7l12bZSFWC/LtWWZ7szCfAOdPoGAqUhQIBeGu3MViKAQBYCfCHIAolZECggAfbpAmosqopAlgLs11lCMRsCBSTAfl1AjUVVEchCgH06CyRmQaDABNivC6zBqK4nAvqu9p07d6ojjzxSvf766xnL3LNnjxo+fLj197lz56rf/va3ntSPQhBAYOACBOgDN2QNCCBQJAJ8ISiShmQzENgrwD5NV0Cg+ATYr4uvTdkiBNiv6QMIFJcA+3RxtSdbg4AWYL+mHyAgBU455RS1ePFiVVVVpRobGzO+xvall15SJ5xwgrWCG264Qd10001wIoBAgQgQoBdIQ1FNBBDIvwBfCPJvTAkIeCnAPu2lNmUh4I0A+7U3zpSCgJcC7NdealMWAvkXYJ/OvzElIOC1APu11+KUVwgC3/zmN9V//ud/WlV9+eWX1fvf/35jtRcsWKDmz59v/e2pp55SZ5xxRiFsHnVEAAGlFAE63QABBBDYK8AXAroCAsUlwD5dXO3J1iCgBdiv6QcIFJ8A+3XxtSlbVNoC7NOl3f5sfXEKsF8XZ7uyVQMTeOWVV7pD83nz5qn77rtPrDCVSqlZs2aplStXqqFDh6odO3aoSCQysIJZGgEEPBMgQPeMmoIQQMDvAnwh8HsLUT8EchNgn87Ni7kRKAQB9utCaCXqiEBuAuzXuXkxNwJ+F2Cf9nsLUT8Echdgv87djCVKQ2DfY9zD4bBatGiRmjNnTq8Nv+2229R1111nTbvxxhvVd77zndKAYSsRKBIBAvQiaUg2AwEEBi7AF4KBG7IGBPwkwD7tp9agLgi4I8B+7Y4ja0HATwLs135qDeqCwMAF2KcHbsgaEPCbAPu131qE+vhFYOnSperEE09UHR0dqrq6WunHup922mnW/z/88MNq4cKFVlVnzpypXn31VVVTU+OXqlMPBBDIQoAAPQskZkEAgdIQ4AtBabQzW1k6AuzTpdPWbGnpCLBfl05bs6WlI8B+XTptzZaWhgD7dGm0M1tZWgLs16XV3mxtbgKPPfaY+sxnPqOam5uNC+rw/PHHH1fTp0/PbcXMjQACgy5AgD7oTUAFEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECk1gw4YN6sc//rEVlOsfnJSVlVmB+dy5c9VXvvIVVVlZWWibRH0RQEApRYBON0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIAAnT6AAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICALcAd6PQEBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECNDpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCNgC3IFOT0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIAAnT6AAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICALcAd6PQEBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECNDpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCNgC3IFOT0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIAAnT6AAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICALcAd6PQEBBBAQCm1c+dOdf/996s//vGPas2aNWrPnj2qrq5OTZgwQZ1yyinq4x//uJozZw5WCCDgY4FTTz1VvfDCCznV8LnnnlN6OT4IIOBvga6uLvWrX/1KPfLII+qNN95Qu3fvVpFIRI0bN06deOKJ6ktf+pI6/vjj/b0R1A4BBLoFYrGYNfb+3e9+p958803V1NSk6uvr1VFHHaUuvvhi9clPfhItBBDwgcCOHTvUK6+8Yv2zZMkS659du3ZZNbvkkkvUAw88kFMt//KXv6iFCxda62toaLD2++OOO846j5955pk5rYuZEUCgfwJu7NepVEq9/fbbvY4P+nyux+z6w/fs/rUNSyGAAAII+EuAAN1f7UFtEEBgEAT0xfgrrrii+0KAqQrnnXee+sMf/jAItaNIBBDIViDXAD0YDKqNGzdaARwfBBDwr8CmTZvU2WefrZYtW9ZnJf/93/9d3XHHHSoQCPh3Y6gZAgioVatWKT221v/O9NFB2qOPPqqqqqoQQwCBQRTo65yaS4CeTqfV5ZdfboXnmT46RL/vvvs4jw9ie1N0aQi4sV//8pe/VJdeemlGMAL00uhLbCUCCCBQ7AIE6MXewmwfAgj0KfDggw+qyy67TOlfz44cOdIK0k866SQ1fPhwtW3bNutu9Mcee0wNGTLEuuuNDwII+Fdg3bp1qq2trc8Krlixovuutg9/+MPq6aef9u8GUTMEEFCJREIdc8wx3eH5EUccoa655hp10EEHqZaWFvX3v//dCs337fs/+MEP1LXXXoscAgj4VEDfcfq+971P6R/G6M/cuXOtu1jHjh2rtmzZovQF+X1j7nPPPVf96U9/8umWUC0ESkOgZ9Cmn852yCGHdI+fcwnQv/Wtb6lbbrnFQjv66KPVddddp6ZNm2Z939bn7qVLl1p/0/N973vfKw1cthKBQRJwY7/WT5/Q19L0Rz8VatasWda4fd8PXgnQB6lxKRYBBBBAwFUBAnRXOVkZAggUksDKlSutL++dnZ3q5JNP7g7KTdugH0NVVlZWSJtHXRFAwCBw/fXXWxfp9Ec/Dvozn/kMTggg4GMB/XjnCy64wKqhfpXK4sWLVSgU6lXjf/3rX9bf4vG4GjZsmNKPpQyHwz7eKqqGQOkKfOUrX1F33323BXDjjTeq73znOwJDT//ud79rTdfHAP0qJT4IIDA4Anp/nD17tvXPqFGj1Pr169WUKVOsymQboK9evdoK3nW4duyxx6pFixapioqK7g1qb29XH/jAB9Srr75qnb/1Y6F1uM4HAQTyI+DGfq1fw/Dyyy9br2DQr1+JRqPWOf2mm26yKk2Anp+2Y60IIIAAAt4KEKB7601pCCDgI4EPfehD6tlnn1UjRoxQOkzX/+aDAALFK6CfNDFx4kS1efNmVV1drbZv364qKyuLd4PZMgSKQEDfbX7nnXdaW6LvRNV3pJo+OmD7v//7P+tP+s4XfRcMHwQQ8JdAMpm0xtuNjY1q0qRJ1p2n+/8gRtdYzzd16lTrNSs6bNPvXOaDAAL+EOhPgP7lL39Z3XPPPdYGvPTSS+r4448XG6ODOP1jOP3RP7T5yU9+4o8NphYIlIBAf/ZrEwsBegl0FjYRAQQQKDEBAvQSa3A2FwEEbAH9q3b9K3j90YN8/QtcPgggUNwCf/3rX9UZZ5xhbaR+X9svfvGL4t5gtg6BIhDoebfqW2+9pQ477DDjVunHtt9+++3W3/QdbPoR0XwQQMBfAj3H31/4whfUT3/604wV1H//+c9/bv1dv6Jl8uTJ/toYaoNAiQrkGrTpd5/rR7/rH7AefPDB1g/XM33031etWqXGjx9v/YCmr/c0lyg/m41AXgRy3a8zVYIAPS/Nw0oRQAABBAZRgAB9EPEpGgEEBk/g5ptvVjfccINVgeXLl6tDDz3U+u89e/aonTt3Wu9Ar6urG7wKUjICCLgu8NnPflY99NBD1nr/9re/qdNOO831MlghAgi4K3DXXXepq666ylppNneg64vt+u7W2tpadyvC2hBAYMACL774ojrxxBOt9RzoPcc935es34t+8cUXD7h8VoAAAgMXyDVoW7t2bffj2OfNm6fuu+++jJXQf1+4cKH1d73cvkfFD7zWrAEBBPoSyHW/zrQuAnT6GQIIIIBAsQkQoBdbi7I9CCCQlcDZZ5+tnnjiCTVkyBArNP/f//1f673Ib775Zvfy+gu7fq/b17/+detxz3wQQKBwBVpbW9Xo0aNVW1ub9Rh3fZGAu1oKtz2peekINDQ0qOnTp6vm5mYreHvhhRfEI5+XLl1qPQ62q6tLXXjhhdY5nQ8CCPhP4I033rDek6o/B3pEc8+nT1x//fVqwYIF/tsgaoRACQrkGrQ9/vjj6pxzzrGk9CtZrr766oxq+u/61S36o5f7yEc+UoLCbDIC3gvkul9nqiEBuvdtR4kIIIAAAvkVIEDPry9rRwABnwrocFx/STjyyCPVSSedpO6+++6MNdXvUX3qqafU2LFjfbo1VAsBBA4koO9e049t158D3fV2oHXxdwQQ8FZAv9v8oosuUh0dHeroo4+2Lr7PnDlT6R/G/OMf/1B33HGHamlpsYK5J5980vqxDB8EEPCfgP4R27Bhw1Q8HldHHHGE0oF6po/++7Jly6w/88MY/7UlNSpdgVyDNn3H+RVXXGGBPfLII+qCCy7IiPfoo4+quXPnWn/Xy+k70vkggED+BXLdrzPViAA9/21FCQgggAAC3goQoHvrTWkIIOATAX3nub6brby8XHV2dqqhQ4dad7Z8/OMftx77qi/Y6Ue86wvx+nPCCSeoxYsXq2Aw6JMtoBoIIJCLwOmnn249tl1/9LsVdfjGBwEECkdgxYoV6oc//KG6//77lX6fas/PqFGjlL5D9Utf+pKqqqoqnI2ipgiUoMBZZ52l/vKXv1hbrp8WocPx/T+//vWv1ac//enuyfru1ccee6wEtdhkBPwnkGvQdtttt6nrrrvO2hD93frMM8/MuFH67/vuOr/99tutJ8HxQQCB/Avkul9nqhEBev7bihIQQAABBLwVIED31pvSEEDAJwLhcFglk0mrNqFQSP3973+3Hv/a85NKpazHze0L0Q/0i3mfbBrVQACB/QTee+89NWnSJKX3ab2fv/TSSxghgEABCei7VW+66Sb105/+VO3YscNY89mzZ6sbb7xR6Ve08EEAAf8KvPLKK9brGBKJhIpEItYPVvX7zceMGaO2bt2qHnzwQfXd737Xes2Kfi2D/ugfwT3zzDP+3ShqhkAJCeQatN18883Wfq4/zz77rPrgBz+YUUv/2FXv7/qjl/v2t79dQrJsKgKDJ5Drfp2ppgTog9eGlIwAAgggkB8BAvT8uLJWBBDwuYB+p7l+jKT+fOpTn1L6ThfTZ/ny5Uo/wl1/9N3pv/vd73y+ZVQPAQT2F9BPl5g/f741+d5771WXX345SAggUCAC+lyt70ZbtGiR9YM3fTfaZZddpqZOnapisZj65z//aYVt+odwOnDT70+96qqrCmTrqCYCpSmgQ/IvfvGL3QH5/gp6X//Rj36kvvrVr1p/Ov/885V+lQMfBBAYfIFcgzbuQB/8NqMGCBxIINf9OtP6CNAPJM3fEUAAAQQKTYAAvdBajPoigIArAvoul23btlnr0u9G1ne+ZPqMHz9ebd68WU2YMEFt3LjRlfJZCQIIeCdw2GGHKf34Z/3KBn13m37/Kh8EECgMgW984xvWO87154EHHlCXXHKJqLi+k/WMM85Qzz33nPWqlaVLl1rvV+aDAAL+FdDvP//+979vPc69paXFqqjef0877TRrun4dw+GHH25N1z+a0a9v4IMAAoMvkGvQxjvQB7/NqAECBxLIdb/OtD4C9ANJ83cEEEAAgUITIEAvtBajvggg4IrAcccdp5YsWWKt60CPkpszZ456+eWXrfBN3+3GBwEECkfg1VdfVfrRzvrziU98Qj366KOFU3lqikCJC+h3nY8YMULt3r1bzZw5U61atSqjyD/+8Q910kknWX+/+uqrrTvR+SCAgP8F9CuV9I/b9Bh77NixqrKy0qq0fj/6RRddZP23voNV/5iGDwIIDL5ArkHbn//8Z3XuuedaFdfnZn2OzvTRf7/mmmusPz/++OPd70Mf/K2mBggUt0Cu+3UmDQL04u4nbB0CCCBQigIE6KXY6mwz5NIDKAAAIABJREFUAghYd7LoO9n05+mnn1Yf/vCHM6rsC9v1nTCtra3oIYBAAQl87WtfUz/5yU+sGv/pT3/qvoBXQJtAVREoWQH9pBj9xBj9+eQnP6kefvjhjBY6fKuoqLD+fuaZZ6onn3yyZN3YcASKQeDKK6+0XruiP/oVDieffHIxbBbbgEDBC+QatK1du1ZNmzbN2u558+YpfUd6po/++8KFC60/6+WmTJlS8F5sAAKFIJDrfp1pmwjQC6G1qSMCCCCAQC4CBOi5aDEvAggUjcAvfvEL9bnPfc7angO9E1nf/bZr164D3v1WNDhsCAJFIhCPx9W4ceNUQ0ODqq+vV1u2bFHhcLhIto7NQKD4BXbu3Gntu/pzoCdI6EdA19bWWvOec8456rHHHit+ILYQgSIV6OrqUvoVSvr8rc/jGzZsUPq96HwQQGDwBXIN2vTTZPT+rMfhBx98sFq5cmXGjTjkkEPU22+/be33mzZtUoFAYPA3mBogUAICue7XmUgI0Eugs7CJCCCAQIkJEKCXWIOzuQggYAvoQFzf1aYDNn33ub4L3fR54YUX1Kmnnmr96fOf/7z62c9+BiECCBSIgL7j/LzzzrNqe9VVV6kf/ehHBVJzqokAAloglUqpYcOGqebmZuvRzjpEy/QjmJ6PiP3qV7+q7rrrLhARQKBABfQj26+77jqr9jfffLP69re/XaBbQrURKD6B/gRtPZ8o8dJLL6njjz9ewOhXpulXp+mPnv/uu+8uPjy2CAGfCvRnvzZtCgG6TxuYaiGAAAII9FuAAL3fdCyIAAKFLtDzi/yvf/1r9alPfarXJum72U455RT1+uuvW9NfeeWV7ncpF/q2U38ESkHgggsuUL/73e+sTf3Xv/6ljjnmmFLYbLYRgaIS+PSnP630OVp/9EW5G2+8UWzfnj17rPefr1ixwvrbU089pc4444yicmBjECgmgY0bN6qJEycaN0k/PUI/cUL/yHXGjBnqzTffVNFotJg2n21BoKAF+hO0vfPOO+qwww5TiURCHXvssdZrGfa9dkVjdHR0WN+7X331VeuHcvp8rvd/Pggg4I1Af/ZrU80I0L1pL0pBAAEEEPBOgADdO2tKQgABnwnox0LqL/D6Ip7+on755Zerj3/849YjYJctW6ZuvfVW6xFy+nPFFVeoe+65x2dbQHUQQCCTgA7U9FMmOjs71axZs6x9mg8CCBSegD4Pv+9971Pt7e1W5c8991x1ySWXqKlTpyr93nN9x5p+uoQ+l+vP6aefrp555pnC21BqjEAJCeixtr7TdO7cuVaoVlZWpvTF+0ceeUT95je/sST00yeeffZZdfTRR5eQDJuKgP8E/v73v6vVq1d3V0y/XuXaa6+1/v/EE09UX/jCF3pV+tJLLzVuxPz589WCBQusv+n9+vrrr7fejb5mzRrre/fSpUutv+n5brnlFv9BUCMEikjArf36gQce6KXyhz/8Qf3xj3+0pul9XL+2Yd9n+vTp1g9e+SCAAAIIIFBIAgTohdRa1BUBBFwX0O9g++hHP9rrosD+heh3pd93330qEom4Xj4rRACB/AjofVb/8EV/fvCDH3Rf6MtPaawVAQTyKaAD8QsvvFDpi/Z9fT74wQ+qRx991Are+CCAgH8FqqurVVtbW8YKHnrooeqhhx4iPPdvE1KzEhLQgfgvf/nLrLdYv/Pc9NGvZfniF7+o7r///ozr0q9MW7hwoQoGg1mXx4wIIJC7gFv7dSAQyLpw/QPY/QP3rBdmRgQQQAABBAZJgAB9kOApFgEE/COgL+Dde++91kX3d999V7W2tqqRI0dav6ifN2+eOu200/xTWWqCAAJZCej998UXX1ShUMi6M1W/P5kPAggUrsCuXbvUz3/+c/Xkk0+q5cuXq8bGRuvpMaNHj7Zer6If9a5/EJfLhbzC1aDmCBS2wMMPP6yefvpp6/VIW7dutcbe9fX16ogjjlD69Suf/exn+eFqYTcxtS8iAbeCtn0kTzzxhBWSL1myxPph3IgRI6zzuP7efdZZZxWRHJuCgH8F3Nqvcxl3E6D7tz9QMwQQQACBzAIE6PQOBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEElFIE6HQDBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECNDpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCNgC3IFOT0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIAAnT6AAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICALcAd6PQEBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECNDpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCNgC3IFOT0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIAAnT6AAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICALcAd6PQEBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECNDpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCNgC3IFOT0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIAAnT6AAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICALcAd6PQEBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECNDpAwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCNgC3IFOT0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQIAAnT6AAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICALcAd6PQEBBBAAAEEEEAAgZIVeOCBB9Rll11mbf+6df+/vTuPtqos4zj+ilOkYA6YmJYWoogTjmWY4oBEIpaSAmJZlCholoa6RAPFBFNz1jRxoaYW4ICSA6bhlOYYoiCQikKmopIMaoO2vu9a+659D3ufs8/lIPfc+33XaoX37rOHz7vP/ef3Ps/7Sthiiy1atMXIkSPDqFGj4jN+8skndfOsf/7zn0OPHj3i/T744INhn332WSX3zvsxb968Rtf+0pe+FF599dUm3w/PMm3atLD33nsHntOhQD0JfP/73w/jx49f7pZbw9/Tepon71UBBRRQQAEFFFBAAQUUUKA6AQP06rw8WgEFFFBAAQUUUKAFCRig18dkGqDXxzx5l61PwAC99c25T6yAAgoooIACCiiggAIKtAYBA/TWMMs+owIKKKCAAgoooECmgAF6Y5bmWg3d3AL0vn37htGjR0e8tdZaK3Tu3LnJ37Dmat7kB/KDdS+QhOJFuissWLAgvPfee/GZ77jjjjBixIj4byvQ6/418AEUUEABBRRQQAEFFFBAgVYtYIDeqqffh1dAAQUUUEABBVq3QGsL0CvNdnMNc5tbgP69730v8O7UYjRX81o8m+eoT4FqAvT0E/r3tD7n27tWQAEFFFBAAQUUUEABBRRYXsAA3bdCAQUUUEABBRRQoNUKGPg0nvrmGuYaoLfar6gPvgoEDNBXAbqXVEABBRRQQAEFFFBAAQUUaFYCBujNajq8GQUUUEABBRRQQIFPU8AA3QC9mvdtiy22CPPmzQtWoFej5rH1JmCAXm8z5v0qoIACCiiggAIKKKCAAgrUWsAAvdaink8BBRRQQAEFFFCgbgSKBuhvv/12uPjii8OUKVPi3r4ffvhh2GSTTcJee+0VjjnmmNC9e/fcZy4NXWfNmhUuuOCCMHXq1PDGG2+Ez33uc2HPPfcMp5xySvjqV79a1u4///lPuOKKK8KNN94YOM/qq68eOnXqFAYOHBiGDh0a/vGPf4Qtt9wynuO6664LBGHpMXLkyDBq1Kj4o08++aThV0lgVu7i6f2QX3311bLXSZ+nSOj8wQcfhAsvvDD84Q9/CHPnzg2f+cxnwjbbbBPv/4c//GF46KGHQo8ePeJpH3zwwUClfNbgmSZNmhRuvvnm8Ne//jUwb23btg1bbbVV6NOnTzj++OOjd1NHkWcpPfdf/vKXON+PPPJIWLRoUejYsWM44IADwkknnRS23nrr+CzTpk0Le++9d6DSPm/Mnz8/XH755eHee++N7yBmG2+8cfja174WhgwZ0uCT93lsrr/++nDttdeG559/PvAu8a7069cvnHjiiaF9+/ZhtdVWix//xS9+EXhXyr07//rXv8Ill1wSbr311ng//HfWO7ds2bJw9dVXx/2xX3zxxbhfNnOw0047hf79+4ejjjoqvsflxn//+98wfvz4OLfPPfdceOedd0K7du3CtttuG77zne/E5+edyRtPP/10/N48/PDDgT27//e//4UOHTpEP75zBx54YHw/kudv6vtR+rmXXnopztmf/vSnwPz9+9//jvPPXPMu7rzzzrmX4m/DbbfdFh544IHwt7/9LX63cdhoo43CrrvuGgYMGBDnrk2bNrnn4O8U9szRjBkz4hzhxnN/+ctfju/ht7/97cB7zUj/fShnkP7bkT6u6N/TWvl6HgUUUEABBRRQQAEFFFBAAQVWloAB+sqS9bwKKKCAAgoooIACzV6gSOBz3333xaDq/fffz30ewmvCxKwwKx26HnzwwWHQoEGBULF0ECL+7ne/C4cffnjmdQhfCfoIhrPG7rvvHn7zm9+Ebt26xV/XS4BOMLjffvvFBQFZo1evXuGnP/1pfHZGXoBOWE4Y+Oijj+bO0+c///kY5O6xxx5NejerDdAJzocPHx4+/vjj5a63zjrrhAkTJoSxY8dWDNAJvQlcCc3zBgsNrrrqqrDGGmssdwjB7aGHHhruuuuuzI+zwIAFHUmQWilAnz17dujZs2dgIUV6lL5zTz75ZJwTQuu8wXs7efLkwNxkjb///e+B7w3he97g/lncwv+Xjl//+tfh5JNPzpyD9LGLFy8O6667bpPei6wPnX322eGss86KoXfWIKw/44wzGha0pI8h4F9rrbUq3jMBOOF41n0TwO+///5l3bgmCznOP//8eHkD9JpNvydSQAEFFFBAAQUUUEABBRSocwED9DqfQG9fAQUUUEABBRRQoOkClQJ0ql0JWwkg11xzzVjl3bdv30D4+eyzz4YxY8bE6lsGQSlhaOlIQleC7ZkzZ8YKVEIrqkip5KSimPNQLUoVMBXYVMeWDoJkjmVQdXzCCSfEwJDgmIp0wnfu9YknnojHVBOgE3BSGXz00UeHp556Kt4bn08PAr3OnTvHH9WqAp1wkQAVSwah7LHHHhs233zz8Nprr8Wq4fvvvz/stttugTCWkRWgL126NB6DL/fJc/Tu3Tueh99RwU6FO5XL66+/frweFfXVjmoCdKqlDzvssHiJ9dZbL3YYSCrnqSo+77zz4oIL5nrOnDm5Fejjxo2LVfiM7bbbLnY84F367Gc/G989wvU//vGP8fc/+9nPYrV76eAzVCIzqNomUN5+++3johCqnK+88sro9/jjj8djKgXoO+ywQ7Sm8ptwG1OeAVPeTQZV7vwbfyqemVc6Nmy44YbhrbfeiqE5Cz54B3hvqQ7nO5YehMA865tvvhkrp3/84x/HUJiwnWpqFrfQGYIFKVRUP/PMM9E6GdOnT4+fZwED1fbDhg2Lle8bbLBBWLJkSbxn3icMuFatAvQzzzwzEKAz6C7xgx/8IHTt2jU+H1Xpl112WaAzAYOFNyyOSA9M1l577fi+fPOb34xzxXtCyP/yyy+Ha665puHzVPBTnV86ePd4BxlHHnlkrNTfdNNNY7U/nlTl33777WHfffdtCNCZF/43YsSIuNCE45O/Oenz8x5mjUp/T6v9vnm8AgoooIACCiiggAIKKKCAAqtKwAB9Vcl7XQUUUEABBRRQQIFVLlAp8CHcJbgldCKkJOBND0Jn2rdTHUsYSmBHUJYeSejKz3bZZZfYzjkd8vFzwm9CLgZBLxXX6UHARwDGIMAnGCtte01wSjCajGoC9OQzRduJ1ypAv/TSS+NCAAbhKIFq6SA8JkRORlaATgBJKIkrgTsLAEoHe5cT6BKUYn3DDTdU/f4VDdBZcMGxXIt7Iizt0qVLo+vRUvvrX/96Q2eDrBbur7/+emxlT0DMvuu//e1vMyvMTz/99PDLX/4yvoME28lCBy5IqJws1uB9xo/wPT0mTpwYuywko1KAznXuueee2AI8a7AwhKCa78OOO+4Y54TW46WDc3zrW9+KATfPliwUSI6jrTpV8yyEoL09IXnpYDEEwTxBPcFvElxzXBJks+CFSva8KvektXm5duhFXxb+XtAWnmcqvZ/kHPyO+WThCwsDWCyS3loAP+6X7RnyBnNEhTuV7ITy6er7ZDEObfrTFeZZ53r33XfjgoL0cA/0orPtcQoooIACCiiggAIKKKCAAi1VwAC9pc6sz6WAAgoooIACCihQUaBcgE6r9KTVNxW8tMfOGrQMT/ZAP+644+Kex+mRDtDZy5jq3dJBYLbZZpvFfY5peU1b5vRIqs/Z55nwOisI5BwEpQSmjHoI0KmGJvDleaisLQ12eQ4qhQlOqbRnlAboCxcujAEroSHVyEkgnzVXVFozR1QC0xI/63rlXpqiATp7uSet+GmPTYiZNahCpzKdkRWgsyCChRFUAhOo5u3zTcUy90YnAcL00aNHN1yOKvFkYULe+8fBLNBgoQajUoBORTWV73mD0Jvwm1HumvweJ7xYTMA+8clggQGV1wyqoal0zxsYYolTul08izKo1qYKPflelJvfWvwuqfxmsQxhet6+6rx/m2yySfjoo4/iPQ4ePLiqy9Pmnc/z/pe+Y/wd+cIXvlDILuuiBuhVTYUHK6CAAgoooIACCiiggAIKtEABA/QWOKk+kgIKKKCAAgoooEAxgXIBOhW9hJEMwnRaXOeNJAim8pdq0PRIQlfCQCpy88ZBBx0U93GmYpfW8ckgHKW1O/tfH3LIIQ0hZ9Z5Lrrooobq9eYeoKdDPirIaWWdN2i9nSxMKA3Q09X7VHwTKuaNF154IbZBZ9DWncrlakbRAD0JbglPaYmdVX3NdVkUwOIBFj9kBehUFdPSv9wCjuT+qSCnkpyW3HQ5SEZyDirCk1b5Wc9MO28WbzAqBeicn+vkjR/96EexonzrrbfO3ds++SzzyvzSep9K+6SzwjnnnBMruFnkQKv50o4L6WvzveH7w6CamwUVyXNQpU07dOabCvyVOaj4ppKc5zj33HPDqaeeWvZy/E1hy4RKCxKoWP/nP/8ZW7hzjWQMGjQo/q3g/6+//vqGnxPK8zeDTggE+jfffHNm54K8mzNAX5lviedWQAEFFFBAAQUUUEABBRSoBwED9HqYJe9RAQUUUEABBRRQYKUIlAvQBwwYEIMngj3aQ6+xxhq598Ce25yLwJRKaD6TjCR0JeCk0jZvsJcxbcWptqbaOBkE8rTxZtCemlAxb1DBm4TCzT1AZ29lKusZhH+EgHmD39PymlEaoNPunoUD1Q7mIt22vMjniwbotIpnP/HSucy6Bsewl3lpgE5b8XRb7yL3xzEs5mChAIN3sW3btvHftEcn1M4b8+fPbxQ8jxw5stGh/PeoUaPizwj+8xYF8HsqvtOLQIreO4sN2OubQZhPqF/tSC92mTVrVuz4QOjM95f3jZbxfEdwyqsOr/aayfFU27NQodrRu3fvuHgmPVhUweIQKv2feOKJuIAmb7BPOltMpEfy94SfsTf9d7/73binOpX+pVtIlJ7XAL3aGfR4BRRQQAEFFFBAAQUUUECBliZggN7SZtTnUUABBRRQQAEFFCgsUC5AT9qmU9FMZXO5cdppp4UxY8bEQ6gUTbdYLxq65oVWBLEEsgxacVPdnDfSYXtzD9BvueWW0L9///go7IV94IEH5j5XOmwvDdAHDhwYbrrppsJznhzI3CehfNEPF51LFjwwF+yFzf7n5UYStpcG6HPmzGm0l3k190ggn7yLHTt2jP/mHaWrQt6gajlpEV+pAp2uCOUqwmkfToeBagfbExD2Mgh6H3vssWpPEfdKxzIZkyZNClTEv/fee43OxQIAvuN8n6rtRJB3U1OnTg09e/as+p4Jtnmvk8HCB1rq33333YXOVfp5PkTV/pFHHhnuvPPORudg3nbeeecYqPPsVKqXDgP0QuwepIACCiiggAIKKKCAAgoo0IIFDNBb8OT6aAoooIACCiiggALlBYoE6ASQlcJAWjWPHTs2XswAvbF5XuhMdT9V/gwC8nLBIwE7VbaM0gD9iCOOCL///e9j1f/TTz9d+JVnz/lqK7yLBui0Lp89e3Zc+FApBCZkp8K4NECnerpLly7xeU488cRYQV5k4MBWAsm7WDRAp903rc4ZlQJ0qqPLDRadvPnmmzEEv+qqq4rcdjwGN/anZyQuW265ZZg8eXLhc3D8Ouus0+h4qvl5R3jPHn744VhBnx4spBg3blxo06ZN4etkHZh+T3/1q181dFiodFLul/tOxhlnnNGwjz3vxdChQ2PojSsdBZL7/MY3vhGfJ6v9f3IuKvLptsD3hgp59k5PxsYbbxyr/JMFOsnPDdArzZi/V0ABBRRQQAEFFFBAAQUUaOkCBugtfYZ9PgUUUEABBRRQQIFcgU+zhTshHdfLG3mhVXNs4c4+00mlMC2m2cM5b9CSe+HChbHaO/38tWrhTrh4xRVXxMuz0CEJjFfGa180QK9FC3dCXgJOBpXCdB+odqysFu6VAvSuXbuGF198MQb5vL9NGbRapy05e6ATgJfbQqHa83NvhPKXXnppw+IYtgH4yU9+Uu2pGh3/5JNPNuyzTrU/Vf/VDmw33XTTuBCne/fuYdq0abnB/vbbbx9mzJhRNkBPX5891KnQpzvFbbfdFn/F94UtI5JW//zMAL3aWfN4BRRQQAEFFFBAAQUUUECBliZggN7SZtTnUUABBRRQQAEFFCgsUC5AJwA7/fTT47nS+ypnnbxcYFg0dM0LrWiX3a5du7ifdd++fcvuC00IyJ7gjKa0cO/Ro0dDC2yCtrxBO+wNNtgg/vr8888PJ510Uuah77zzTsNe2aUBOmE3rb4Zxx9/fLjkkktyr8fvL7vssvj70gp09vWmRTejKW3ZC78sIYSic0ngfc0118Q9tgnCN9xww8zL8Dva/ROaZlURUyW/YMGCuJf63Llzm7Rnd6dOnWJAuuOOO5bdl5xKZPYdZ6xoBTqtw9m/m5Fuy16N9YgRI8I555wTP1Lalr2a85Q79vXXX49V/kuXLg177rlnePTRR1fo1MuWLQvrr79+oJo/q616kZOnvzN8J3j3s8aSJUvid5D93ctVoOddk8UCyXfuvvvuCwcccEDDoUcffXT8LrFIhvkrOsr9PS16Do9TQAEFFFBAAQUUUEABBRRQoDkIGKA3h1nwHhRQQAEFFFBAAQVWiUC5wIfQfI899oj3dcwxx+S2omaPa8I3xnHHHRcuv/zyRs9SNHQtV/XJ/uCEXOxRTaCV3mM9uRgh7K677hqeeeaZ+KOmBOi0SacNdZG9uwkKFy1aFGihTjv2rEHonQSAWRX42267bZg5c2ZsTf3yyy83qoJNzke4SYD81ltvxR+VBugEzLS/JkgkJH7qqadqWq2cfq6ic0nL7MMPPzx+9MILL2xY1FBqRJvv4cOHxx9nhaC8T1deeWX8Pefs169f1d8T3t2rr746fo4W3jvssEPmOdhzO6lKXtEAPf38Wd+JIg+Rrubu3bt3mDJlSpGPVX0MrdGfffbZFaqWT1+Ue032Lqc1/+67717VPdH6nu8DY8yYMeGUU07J/PzFF18cW/vnvTuVLkoFPgtyGDfddFPo379/w0eOPfbY+PeO+3jjjTcqnarh9wbohak8UAEFFFBAAQUUUEABBRRQoJkLGKA38wny9hRQQAEFFFBAAQVWnkClwIfwiyBv9dVXj6FYukqTu6K19F577RWef/752GaZgHK77bZrdMNFQ9dyAfqtt94aDj300HheQq9JkybFe0qPCy64IJx88skNP2pKgE4rdj5H63BaSFNBnTe4D0I4Wj/z/F/5ylcaHUowzh7YVKszsgJ0WmifcMIJ8feEdkkr9vSJkmru5GelATo/T4fEPAPtzvNafhPEc9+DBw+u+sUqOpdUIHMs4SMLDVhkwf7e6UEbcRZe8A4xsgL0V155JVZIf/TRR7HamLb3LJLIG7Q8p2o9HZKzL/xuu+0Wq9x5n/GjLXp68D4ddthhDT9a0QCdfbZpL847wDtENX65PdxpQ86z9unTp9F9JQtH+OGZZ54ZRo0alfvsLCzBOR0EU1VPJXjeXvdUoDMvH3zwQeBaLB5Z0UEVO38T8GZhx9SpU5f7biTXwIm92dnLnHljfPzxx7FjAYtTdtppp0AIz7726cHfpH333TdQhZ717rAYhWfjncobw4YNa1jsgxuLZpJx1llnxS4E/E3jPuiAUWRU+nta5Bweo4ACCiiggAIKKKCAAgoooEBzEDBAbw6z4D0ooIACCiiggAIKrBKBSoHPc889F6vQCUTXXHPNWE1NyLfuuuvGqlUqRAmrGFQSjx07drnnKBq6Vtp3OB0mssc21ae056YN+I033hj/R0BK5Twjq535yJEjG0LIrH2s0+3QOT+tuNdbb714Pp4/2fec/07vYU74x7m7desWQ737778/UCFLEE9AzD1mBei0p+eesWT06tUrDBkyJGy++eYxACRQp/KeAJjQkJEVoHNNTAhiGVS2E7zvsssuca4IAV944YV4X4TMhLtUqlc7is4l502H0gS4VBIT5uJOS/LkXcFozpw5uW240+8oQerV5Cc6AAAMXUlEQVSgQYPCQQcdFL74xS8G/ObPnx/nfOLEibFV+5133hl/nx7pBQbY/PznP48G77//fqw6xxmr5N1hLglQ06PSu1NqyaIKFggkIS/v74ABA2JgzbvEQgbm/a677gqPPfZY3AaA7QDSgzb/LBhIqqD5LrJAgnunGwPtzqdPnx6D7wceeCAccsgh0SEZePPesJ86gTOLEXifWdTB/LOAg/eMQdieVGRX+16UHp+24v1j8UDPnj3jfuMshkjCfu6VZ8QqvfAmHW7z/WBbBr7rfJd4f5kvzsuiitmzZy/37vB+sR0Dc01bfgyT7RJ4XkJ7ugQw+M6yyCK9WIbvSbJYiDnj7x6hfnIM95I1Kv09XVFXP6+AAgoooIACCiiggAIKKKDApyVggP5pSXsdBRRQQAEFFFBAgWYnUCTwIcCldTZhY94YOnRo3E+Yis3SUTR0rRSgEwITQiYhZ+l1CMKo9E0qlG+55ZaGNuLJsZVCUMJO2qAniwLS18jaDzm9j3Lp/RCCE2zS0nrevHmZATqfIUAk3HzppZcyeQkeCVd5dkZWgM7P33333TBw4MBCVcSEiwSu1Y6ic5mcl0CY4Jyq4tJBFfiECRPCeeedF6ZNm1Z2H2sCTxYElHsHOT/vH+Enz5ceLAChgwFhddZIKqWTYDSrdXildyfrvITbVLazQKDSoLqcKvPSwbvD9y9ZQFHuPOzdPW7cuIZDCNCxLTfo5HD22WeH0047rdItVvX7iy66KJx66qkxMC83WBTB4o50KE1Qzr2zgCdrEJyz8AGvrHcnCdAr3TALCgjkea/Tg/eV7hGPP/545imyFt9wYJG/p5Xuyd8roIACCiiggAIKKKCAAgoo0BwEDNCbwyx4DwoooIACCiiggAKrRKBo4EMFNYEYYRPhMqEY+5DTqpmK6e7du+fef9HQtVKAzgXY55vq0xtuuCEGzlSE0jqd/bapGJ81a1asKGXQcp6K7vQoEoKyB/O5554bK78JL5ctWxZPkRWg83P2P2e/ZMI+7o/KaKpeaSdP1WqR56eFNnuFE/pTRb322muHbbbZJhx11FGxPftDDz3UEArnBejJcxKMU43/yCOPxMrlDz/8MLRv3z46Uc1LNTKhfGkL/CIvYJFnKT0P1dW01+d+CEbZV3q//faLPgSYScib1cI9fS6qptnLnEUJtH/nv6nk5nxdu3aNPoTVLFzIGoSe48ePD9dee22seGaumNNkrniXaDfPYN913utq352s61Ilzx7bBL5UOvNdStqUU43Od4d7YC/yvMG933HHHbFympbmvKPcP5X9W221Vew+cPDBB8fvY7qSmip3FhTQRp33k20JFi5cGKvXmUtap/OcVLSvjLFgwYK4nQDXnzt3buyEwLtNNTjXpMqbhQ0bbbTRcpfne8d3gkpxFiCwJQFzy/vLwhW6PuS9O7SGZ8EB1yVMf+2116IZ3wXCdxbJcF3+5pS2h09uZPHixXFxBx0N+E4uXbo0dk9gGKCvjLfFcyqggAIKKKCAAgoooIACCjQnAQP05jQb3osCCiiggAIKKKCAAisgQHBMi28GgV3pvuQrcGo/GkKhxQD1CkXATwDNIHQm5HcoUI1A0QVJ1ZzTYxVQQAEFFFBAAQUUUEABBRRYFQIG6KtC3WsqoIACCiiggAIKKLASBKhOpUq+Q4cOseI0XY27Ei7X6k6ZVKCzV/bo0aPj81PB27lz57q3YBsCuhsk+5NT3e1QoJIAVfZ0Q2DQJWDEiBHx36+88spyreErncvfK6CAAgoooIACCiiggAIKKNBcBAzQm8tMeB8KKKCAAgoooIACCpQRIKii/XLbtm0zj6I19+DBg+Pv2DOc/bcdtRVIAvT0WfNa29f2yit2NtqW0wI8LxS/9957Y2twWn/T2nvixIkrdkE/3WoEkq0nSh/YAL3VvAI+qAIKKKCAAgoooIACCijQIgUM0FvktPpQCiiggAIKKKCAAi1NgPbIw4cPD0cccUTc+5jglr2k2Z+YvaFvv/32+MjszT5jxozMfZVbmsmn/Tz1GqCzDzZV8/369Qv7779/bO3fpk2buMf95MmT457xhOcszmCv8JZQUf9pvxut9XoG6K115n1uBRRQQAEFFFBAAQUUUKBlCxigt+z59ekUUEABBRRQQAEFWohAen/hvEfq2LFjmDJlSujWrVsLeWofoxYCBOg9evQoe6r27duHCRMmhJ49e9biknV7DhafNGVsttlmuRX+TTmfn1FAAQUUUEABBRRQQAEFFFBAgVUnYIC+6uy9sgIKKKCAAgoooIAChQVow01r7XvuuSfMnDkzvP3222Hx4sUxtOvSpUvo06dPGDJkSGjXrl3hc3pg6xBYsmRJmDRpUrj77rvD9OnT47uzaNGiQGjeqVOn0KtXrzBs2LDQoUOH1gFS5ilXW221Jhlcd911gWpshwIKKKCAAgoooIACCiiggAIK1L+AAXr9z6FPoIACCiiggAIKKKCAAgooUAMBA/QaIHoKBRRQQAEFFFBAAQUUUEABBepcwAC9zifQ21dAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUqI2AAXptHD2LAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooECdCxig1/kEevsKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAArURMECvjaNnUUABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRSocwED9DqfQG9fAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKA2AgbotXH0LAoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACdS5ggF7nE+jtK6CAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgrURsAAvTaOnkUBBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoM4FDNDrfAK9fQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUECB2ggYoNfG0bMooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCtS5gAF6nU+gt6+AAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgooUBsBA/TaOHoWBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIE6FzBAr/MJ9PYVUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBWojYIBeG0fPooACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCihQ5wIG6HU+gd6+AgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooEBtBAzQa+PoWRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEF6lzAAL3OJ9DbV0ABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRSojYABem0cPYsCCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiigQJ0LGKDX+QR6+woooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACtREwQK+No2dRQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFKhzAQP0Op9Ab18BBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoDYCBui1cfQsCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAJ1LmCAXucT6O0roIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCtRGwAC9No6eRQEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFCgzgUM0Ot8Ar19BRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIHaCBig18bRsyiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIK1LmAAXqdT6C3r4ACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCihQGwED9No4ehYFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgToXMECv8wn09hVQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFaiPwfxYVUVQc5ReqAAAAAElFTkSuQmCC\" width=\"1000\">"
- ],
- "text/plain": [
- "<IPython.core.display.HTML object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/javascript": [
- "/* Put everything inside the global mpl namespace */\n",
- "window.mpl = {};\n",
- "\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('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",
- "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 = $('<div/>');\n",
- " this._root_extra_style(this.root)\n",
- " this.root.attr('style', 'display: inline-block');\n",
- "\n",
- " $(parent_element).append(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 (mpl.ratio != 1) {\n",
- " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
- " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
- " 'ui-helper-clearfix\"/>');\n",
- " var titletext = $(\n",
- " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
- " 'text-align: center; padding: 3px;\"/>');\n",
- " titlebar.append(titletext)\n",
- " this.root.append(titlebar);\n",
- " this.header = titletext[0];\n",
- "}\n",
- "\n",
- "\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_canvas = function() {\n",
- " var fig = this;\n",
- "\n",
- " var canvas_div = $('<div/>');\n",
- "\n",
- " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
- "\n",
- " function canvas_keyboard_event(event) {\n",
- " return fig.key_event(event, event['data']);\n",
- " }\n",
- "\n",
- " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
- " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
- " this.canvas_div = canvas_div\n",
- " this._canvas_extra_style(canvas_div)\n",
- " this.root.append(canvas_div);\n",
- "\n",
- " var canvas = $('<canvas/>');\n",
- " canvas.addClass('mpl-canvas');\n",
- " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
- "\n",
- " this.canvas = canvas[0];\n",
- " this.context = canvas[0].getContext(\"2d\");\n",
- "\n",
- " var backingStore = this.context.backingStorePixelRatio ||\n",
- "\tthis.context.webkitBackingStorePixelRatio ||\n",
- "\tthis.context.mozBackingStorePixelRatio ||\n",
- "\tthis.context.msBackingStorePixelRatio ||\n",
- "\tthis.context.oBackingStorePixelRatio ||\n",
- "\tthis.context.backingStorePixelRatio || 1;\n",
- "\n",
- " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
- "\n",
- " var rubberband = $('<canvas/>');\n",
- " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
- "\n",
- " var pass_mouse_events = true;\n",
- "\n",
- " canvas_div.resizable({\n",
- " start: function(event, ui) {\n",
- " pass_mouse_events = false;\n",
- " },\n",
- " resize: function(event, ui) {\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " stop: function(event, ui) {\n",
- " pass_mouse_events = true;\n",
- " fig.request_resize(ui.size.width, ui.size.height);\n",
- " },\n",
- " });\n",
- "\n",
- " function mouse_event_fn(event) {\n",
- " if (pass_mouse_events)\n",
- " return fig.mouse_event(event, event['data']);\n",
- " }\n",
- "\n",
- " rubberband.mousedown('button_press', mouse_event_fn);\n",
- " rubberband.mouseup('button_release', mouse_event_fn);\n",
- " // Throttle sequential mouse events to 1 every 20ms.\n",
- " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
- "\n",
- " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
- " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
- "\n",
- " canvas_div.on(\"wheel\", function (event) {\n",
- " event = event.originalEvent;\n",
- " event['data'] = 'scroll'\n",
- " if (event.deltaY < 0) {\n",
- " event.step = 1;\n",
- " } else {\n",
- " event.step = -1;\n",
- " }\n",
- " mouse_event_fn(event);\n",
- " });\n",
- "\n",
- " canvas_div.append(canvas);\n",
- " canvas_div.append(rubberband);\n",
- "\n",
- " this.rubberband = rubberband;\n",
- " this.rubberband_canvas = rubberband[0];\n",
- " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
- " this.rubberband_context.strokeStyle = \"#000000\";\n",
- "\n",
- " this._resize_canvas = function(width, height) {\n",
- " // Keep the size of the canvas, canvas container, and rubber band\n",
- " // canvas in synch.\n",
- " canvas_div.css('width', width)\n",
- " canvas_div.css('height', height)\n",
- "\n",
- " canvas.attr('width', width * mpl.ratio);\n",
- " canvas.attr('height', height * mpl.ratio);\n",
- " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
- "\n",
- " rubberband.attr('width', width);\n",
- " rubberband.attr('height', height);\n",
- " }\n",
- "\n",
- " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
- " // upon first draw.\n",
- " this._resize_canvas(600, 600);\n",
- "\n",
- " // Disable right mouse context menu.\n",
- " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\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",
- " // put a spacer in here.\n",
- " continue;\n",
- " }\n",
- " var button = $('<button/>');\n",
- " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
- " 'ui-button-icon-only');\n",
- " button.attr('role', 'button');\n",
- " button.attr('aria-disabled', 'false');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- "\n",
- " var icon_img = $('<span/>');\n",
- " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
- " icon_img.addClass(image);\n",
- " icon_img.addClass('ui-corner-all');\n",
- "\n",
- " var tooltip_span = $('<span/>');\n",
- " tooltip_span.addClass('ui-button-text');\n",
- " tooltip_span.html(tooltip);\n",
- "\n",
- " button.append(icon_img);\n",
- " button.append(tooltip_span);\n",
- "\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " var fmt_picker_span = $('<span/>');\n",
- "\n",
- " var fmt_picker = $('<select/>');\n",
- " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
- " fmt_picker_span.append(fmt_picker);\n",
- " nav_element.append(fmt_picker_span);\n",
- " this.format_dropdown = fmt_picker[0];\n",
- "\n",
- " for (var ind in mpl.extensions) {\n",
- " var fmt = mpl.extensions[ind];\n",
- " var option = $(\n",
- " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
- " fmt_picker.append(option);\n",
- " }\n",
- "\n",
- " // Add hover states to the ui-buttons\n",
- " $( \".ui-button\" ).hover(\n",
- " function() { $(this).addClass(\"ui-state-hover\");},\n",
- " function() { $(this).removeClass(\"ui-state-hover\");}\n",
- " );\n",
- "\n",
- " var status_bar = $('<span class=\"mpl-message\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\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",
- "\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",
- "\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]);\n",
- " fig.send_message(\"refresh\", {});\n",
- " };\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
- " var x0 = msg['x0'] / mpl.ratio;\n",
- " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
- " var x1 = msg['x1'] / mpl.ratio;\n",
- " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
- " var cursor = msg['cursor'];\n",
- " switch(cursor)\n",
- " {\n",
- " case 0:\n",
- " cursor = 'pointer';\n",
- " break;\n",
- " case 1:\n",
- " cursor = 'default';\n",
- " break;\n",
- " case 2:\n",
- " cursor = 'crosshair';\n",
- " break;\n",
- " case 3:\n",
- " cursor = 'move';\n",
- " break;\n",
- " }\n",
- " fig.rubberband_canvas.style.cursor = 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.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",
- " /* 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",
- " evt.data.type = \"image/png\";\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",
- " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
- " evt.data);\n",
- " fig.updated_canvas_event();\n",
- " fig.waiting = false;\n",
- " return;\n",
- " }\n",
- " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
- " }\n",
- " }\n",
- " };\n",
- "}\n",
- "\n",
- "// from http://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",
- " if (e.target)\n",
- " targ = e.target;\n",
- " else if (e.srcElement)\n",
- " targ = e.srcElement;\n",
- " if (targ.nodeType == 3) // defeat Safari bug\n",
- " targ = targ.parentNode;\n",
- "\n",
- " // jQuery normalizes the pageX and pageY\n",
- " // pageX,Y are the mouse positions relative to the document\n",
- " // offset() returns the position of the element relative to the document\n",
- " var x = e.pageX - $(targ).offset().left;\n",
- " var y = e.pageY - $(targ).offset().top;\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",
- " * http://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",
- " 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",
- " {\n",
- " this.canvas.focus();\n",
- " this.canvas_div.focus();\n",
- " }\n",
- "\n",
- " var x = canvas_pos.x * mpl.ratio;\n",
- " var y = canvas_pos.y * mpl.ratio;\n",
- "\n",
- " this.send_message(name, {x: x, y: y, button: event.button,\n",
- " step: event.step,\n",
- " guiEvent: simpleKeys(event)});\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",
- "\n",
- " // Prevent repeat events\n",
- " if (name == 'key_press')\n",
- " {\n",
- " if (event.which === this._key)\n",
- " return;\n",
- " else\n",
- " this._key = event.which;\n",
- " }\n",
- " if (name == 'key_release')\n",
- " this._key = null;\n",
- "\n",
- " var value = '';\n",
- " if (event.ctrlKey && event.which != 17)\n",
- " value += \"ctrl+\";\n",
- " if (event.altKey && event.which != 18)\n",
- " value += \"alt+\";\n",
- " if (event.shiftKey && event.which != 16)\n",
- " value += \"shift+\";\n",
- "\n",
- " value += 'k';\n",
- " value += event.which.toString();\n",
- "\n",
- " this._key_event_extra(event, name);\n",
- "\n",
- " this.send_message(name, {key: value,\n",
- " 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",
- "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
- "\n",
- "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
- "\n",
- "mpl.default_extension = \"png\";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.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",
- " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
- " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
- " var ws_proxy = comm_websocket_adapter(comm)\n",
- "\n",
- " function ondownload(figure, format) {\n",
- " window.open(figure.imageObj.src);\n",
- " }\n",
- "\n",
- " var fig = new mpl.figure(id, ws_proxy,\n",
- " ondownload,\n",
- " element.get(0));\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.get(0);\n",
- " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
- " if (!fig.cell_info) {\n",
- " console.error(\"Failed to find cell for figure\", id, fig);\n",
- " return;\n",
- " }\n",
- "\n",
- " var output_index = fig.cell_info[2]\n",
- " var cell = fig.cell_info[0];\n",
- "\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
- " var width = fig.canvas.width/mpl.ratio\n",
- " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
- " var dataURL = this.canvas.toDataURL();\n",
- " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_toolbar = function() {\n",
- " var fig = this;\n",
- "\n",
- " var nav_element = $('<div/>');\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\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) { continue; };\n",
- "\n",
- " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " // Add the status bar.\n",
- " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\n",
- "\n",
- " // Add the close button to the window.\n",
- " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
- " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
- " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
- " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
- " buttongrp.append(button);\n",
- " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
- " titlebar.prepend(buttongrp);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._root_extra_style = function(el){\n",
- " var fig = this\n",
- " el.on(\"remove\", function(){\n",
- "\tfig.close_ws(fig, {});\n",
- " });\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(el){\n",
- " // this is important to make the div 'focusable\n",
- " el.attr('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",
- " }\n",
- " else {\n",
- " // location in version 2\n",
- " IPython.keyboard_manager.register_events(el);\n",
- " }\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
- " var manager = IPython.notebook.keyboard_manager;\n",
- " if (!manager)\n",
- " manager = IPython.keyboard_manager;\n",
- "\n",
- " // Check for shift+enter\n",
- " if (event.shiftKey && event.which == 13) {\n",
- " this.canvas_div.blur();\n",
- " event.shiftKey = false;\n",
- " // Send a \"J\" for go to next cell\n",
- " event.which = 74;\n",
- " event.keyCode = 74;\n",
- " manager.command_mode();\n",
- " manager.handle_keydown(event);\n",
- " }\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
- " fig.ondownload(fig, null);\n",
- "}\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('matplotlib', mpl.mpl_figure_comm);\n",
- "}\n"
- ],
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\" width=\"1000\">"
- ],
- "text/plain": [
- "<IPython.core.display.HTML object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plt.figure(figsize = (10,4))\n",
- "G_all_nonzero.isel(day = 11, timestamp = 6).SIS.plot(x = 'lon', y = 'lat')\n",
- "plt.axis('equal')\n",
- "plt.tight_layout()\n",
- "\n",
- "plt.figure(figsize = (10,4))\n",
- "G_all_nonzero.isel(day = 11, timestamp = 6).SISDIR.plot(x = 'lon', y = 'lat')\n",
- "plt.axis('equal')\n",
- "plt.tight_layout()\n",
- "\n",
- "plt.figure(figsize = (10,4))\n",
- "G_all_nonzero.isel(day = 11, timestamp = 6).ALB.plot(x = 'lon', y = 'lat')\n",
- "plt.axis('equal')\n",
- "plt.tight_layout()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Save result"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [],
- "source": [
- "G_all_nonzero.to_netcdf(os.path.join(fp, '%d_SIS_SISDIR_ALB_interp.nc' %YEAR))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Compute sun position\n",
- "Approximate sun position from mean Swiss coordinates"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<pre>&lt;xarray.Dataset&gt;\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float64 ...\n",
- " SISDIR (day, timestamp, lat, lon) float64 ...\n",
- " ALB (day, timestamp, lat, lon) float64 ...\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ...</pre>"
- ],
- "text/plain": [
- "<xarray.Dataset>\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 10 ... 23 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float64 ...\n",
- " SISDIR (day, timestamp, lat, lon) float64 ...\n",
- " ALB (day, timestamp, lat, lon) float64 ...\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ..."
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "G_all_nonzero = xr.open_dataset(os.path.join(fp, '%d_SIS_SISDIR_ALB_interp.nc' %YEAR))\n",
- "G_all_nonzero"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "times = G_all_nonzero.isel(lon = 100, lat = 50).to_dataframe().dropna().reset_index()[['time', 'timestamp', 'day']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>time</th>\n",
- " <th>timestamp</th>\n",
- " <th>day</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2010-01-01 07:00:00</td>\n",
- " <td>2010-01-15 07:00:00</td>\n",
- " <td>1</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2010-01-01 08:00:00</td>\n",
- " <td>2010-01-15 08:00:00</td>\n",
- " <td>1</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2010-01-01 09:00:00</td>\n",
- " <td>2010-01-15 09:00:00</td>\n",
- " <td>1</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2010-01-01 10:00:00</td>\n",
- " <td>2010-01-15 10:00:00</td>\n",
- " <td>1</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2010-01-01 11:00:00</td>\n",
- " <td>2010-01-15 11:00:00</td>\n",
- " <td>1</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " time timestamp day\n",
- "0 2010-01-01 07:00:00 2010-01-15 07:00:00 1\n",
- "1 2010-01-01 08:00:00 2010-01-15 08:00:00 1\n",
- "2 2010-01-01 09:00:00 2010-01-15 09:00:00 1\n",
- "3 2010-01-01 10:00:00 2010-01-15 10:00:00 1\n",
- "4 2010-01-01 11:00:00 2010-01-15 11:00:00 1"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "times.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [],
- "source": [
- "# get sun position (one for Switzerland) - can later be replaced by very exact sun positions\n",
- "LAT = 46.818188\n",
- "LON = 8.227512\n",
- "solpos = solar_pos.get_solarposition(times.time.values, LAT, LON)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [],
- "source": [
- "solpos['rel_airmass'] = get_relative_airmass(solpos['apparent_zenith'])\n",
- "solpos['DNI_extra' ] = get_extra_radiation(solpos.index)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th>apparent_zenith</th>\n",
- " <th>zenith</th>\n",
- " <th>apparent_elevation</th>\n",
- " <th>elevation</th>\n",
- " <th>azimuth</th>\n",
- " <th>equation_of_time</th>\n",
- " <th>rel_airmass</th>\n",
- " <th>DNI_extra</th>\n",
- " <th>time</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>timestamp</th>\n",
- " <th>day</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2010-01-15 07:00:00</th>\n",
- " <th>1</th>\n",
- " <td>92.596263</td>\n",
- " <td>92.596263</td>\n",
- " <td>-2.596263</td>\n",
- " <td>-2.596263</td>\n",
- " <td>121.559343</td>\n",
- " <td>-3.437099</td>\n",
- " <td>NaN</td>\n",
- " <td>1413.981805</td>\n",
- " <td>2010-01-01 07:00:00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2010-01-15 08:00:00</th>\n",
- " <th>1</th>\n",
- " <td>84.268402</td>\n",
- " <td>84.415958</td>\n",
- " <td>5.731598</td>\n",
- " <td>5.584042</td>\n",
- " <td>132.682750</td>\n",
- " <td>-3.456690</td>\n",
- " <td>9.194190</td>\n",
- " <td>1413.981805</td>\n",
- " <td>2010-01-01 08:00:00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2010-01-15 09:00:00</th>\n",
- " <th>1</th>\n",
- " <td>77.576271</td>\n",
- " <td>77.649977</td>\n",
- " <td>12.423729</td>\n",
- " <td>12.350023</td>\n",
- " <td>144.864097</td>\n",
- " <td>-3.476272</td>\n",
- " <td>4.557734</td>\n",
- " <td>1413.981805</td>\n",
- " <td>2010-01-01 09:00:00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2010-01-15 10:00:00</th>\n",
- " <th>1</th>\n",
- " <td>72.699697</td>\n",
- " <td>72.752736</td>\n",
- " <td>17.300303</td>\n",
- " <td>17.247264</td>\n",
- " <td>158.212898</td>\n",
- " <td>-3.495845</td>\n",
- " <td>3.330113</td>\n",
- " <td>1413.981805</td>\n",
- " <td>2010-01-01 10:00:00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2010-01-15 11:00:00</th>\n",
- " <th>1</th>\n",
- " <td>70.106644</td>\n",
- " <td>70.152523</td>\n",
- " <td>19.893356</td>\n",
- " <td>19.847477</td>\n",
- " <td>172.511552</td>\n",
- " <td>-3.515409</td>\n",
- " <td>2.917829</td>\n",
- " <td>1413.981805</td>\n",
- " <td>2010-01-01 11:00:00</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " apparent_zenith zenith apparent_elevation \\\n",
- "timestamp day \n",
- "2010-01-15 07:00:00 1 92.596263 92.596263 -2.596263 \n",
- "2010-01-15 08:00:00 1 84.268402 84.415958 5.731598 \n",
- "2010-01-15 09:00:00 1 77.576271 77.649977 12.423729 \n",
- "2010-01-15 10:00:00 1 72.699697 72.752736 17.300303 \n",
- "2010-01-15 11:00:00 1 70.106644 70.152523 19.893356 \n",
- "\n",
- " elevation azimuth equation_of_time rel_airmass \\\n",
- "timestamp day \n",
- "2010-01-15 07:00:00 1 -2.596263 121.559343 -3.437099 NaN \n",
- "2010-01-15 08:00:00 1 5.584042 132.682750 -3.456690 9.194190 \n",
- "2010-01-15 09:00:00 1 12.350023 144.864097 -3.476272 4.557734 \n",
- "2010-01-15 10:00:00 1 17.247264 158.212898 -3.495845 3.330113 \n",
- "2010-01-15 11:00:00 1 19.847477 172.511552 -3.515409 2.917829 \n",
- "\n",
- " DNI_extra time \n",
- "timestamp day \n",
- "2010-01-15 07:00:00 1 1413.981805 2010-01-01 07:00:00 \n",
- "2010-01-15 08:00:00 1 1413.981805 2010-01-01 08:00:00 \n",
- "2010-01-15 09:00:00 1 1413.981805 2010-01-01 09:00:00 \n",
- "2010-01-15 10:00:00 1 1413.981805 2010-01-01 10:00:00 \n",
- "2010-01-15 11:00:00 1 1413.981805 2010-01-01 11:00:00 "
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "solpos_merged = solpos.merge(times, left_index = True, right_on = 'time').set_index(['timestamp', 'day'])\n",
- "solpos_merged.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [],
- "source": [
- "meteo = xr.merge([G_all_nonzero,\n",
- " solpos_merged.to_xarray()[['apparent_zenith', 'azimuth', 'rel_airmass', 'DNI_extra']]])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<pre>&lt;xarray.Dataset&gt;\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float64 ...\n",
- " SISDIR (day, timestamp, lat, lon) float64 ...\n",
- " ALB (day, timestamp, lat, lon) float64 ...\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ...\n",
- " apparent_zenith (timestamp, day) float64 nan nan nan ... 92.8 92.68 92.55\n",
- " azimuth (timestamp, day) float64 nan nan nan ... 238.4 238.3 238.3\n",
- " rel_airmass (timestamp, day) float64 nan nan nan nan ... nan nan nan\n",
- " DNI_extra (timestamp, day) float64 nan nan ... 1.414e+03 1.414e+03</pre>"
- ],
- "text/plain": [
- "<xarray.Dataset>\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float64 ...\n",
- " SISDIR (day, timestamp, lat, lon) float64 ...\n",
- " ALB (day, timestamp, lat, lon) float64 ...\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ...\n",
- " apparent_zenith (timestamp, day) float64 nan nan nan ... 92.8 92.68 92.55\n",
- " azimuth (timestamp, day) float64 nan nan nan ... 238.4 238.3 238.3\n",
- " rel_airmass (timestamp, day) float64 nan nan nan nan ... nan nan nan\n",
- " DNI_extra (timestamp, day) float64 nan nan ... 1.414e+03 1.414e+03"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "meteo"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Prepare weather data:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [],
- "source": [
- "meteo['DHI'] = np.maximum((meteo['SIS'] - meteo['SISDIR']), 0)\n",
- "meteo['DNI'] = SISDIR_to_DNI(meteo['SISDIR'],meteo['apparent_zenith'])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Geographic transformation to attach x and y values to lon and lat"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [],
- "source": [
- "list_of_locations = G_all_nonzero.isel(timestamp = 0, day = 0).to_dataframe().reset_index()[['lat','lon']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>lat</th>\n",
- " <th>lon</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>45.750</td>\n",
- " <td>5.750000</td>\n",
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- " <tr>\n",
- " <th>1</th>\n",
- " <td>45.750</td>\n",
- " <td>5.770833</td>\n",
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- " <tr>\n",
- " <th>2</th>\n",
- " <td>45.750</td>\n",
- " <td>5.791667</td>\n",
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- " <tr>\n",
- " <th>3</th>\n",
- " <td>45.750</td>\n",
- " <td>5.812500</td>\n",
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- " <tr>\n",
- " <th>4</th>\n",
- " <td>45.750</td>\n",
- " <td>5.833333</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
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- " <tr>\n",
- " <th>24818</th>\n",
- " <td>47.875</td>\n",
- " <td>10.666667</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24819</th>\n",
- " <td>47.875</td>\n",
- " <td>10.687500</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24820</th>\n",
- " <td>47.875</td>\n",
- " <td>10.708334</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24821</th>\n",
- " <td>47.875</td>\n",
- " <td>10.729167</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24822</th>\n",
- " <td>47.875</td>\n",
- " <td>10.750000</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>24823 rows × 2 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " lat lon\n",
- "0 45.750 5.750000\n",
- "1 45.750 5.770833\n",
- "2 45.750 5.791667\n",
- "3 45.750 5.812500\n",
- "4 45.750 5.833333\n",
- "... ... ...\n",
- "24818 47.875 10.666667\n",
- "24819 47.875 10.687500\n",
- "24820 47.875 10.708334\n",
- "24821 47.875 10.729167\n",
- "24822 47.875 10.750000\n",
- "\n",
- "[24823 rows x 2 columns]"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "list_of_locations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/pyproj/crs/crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
- " return _prepare_from_string(\" \".join(pjargs))\n",
- "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/pyproj/crs/crs.py:294: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
- " projstring = _prepare_from_string(\" \".join((projstring, projkwargs)))\n"
- ]
- }
- ],
- "source": [
- "latlong = pyproj.Proj(proj='latlong')\n",
- "swiss = pyproj.Proj(init='EPSG:21781')\n",
- "swiss(600000, 200000, inverse=True)\n",
- "transformer = lambda lon, lat: pyproj.transform(latlong, swiss, lon, lat)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:4: DeprecationWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
- " after removing the cwd from sys.path.\n"
- ]
- }
- ],
- "source": [
- "# transform x and y into lon and lat and append to list_of_locations\n",
- "list_of_locations['x'], list_of_locations['y'] = transformer(list_of_locations['lon'].values, \n",
- " list_of_locations['lat'].values)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th></th>\n",
- " <th>lat</th>\n",
- " <th>lon</th>\n",
- " <th>x</th>\n",
- " <th>y</th>\n",
- " </tr>\n",
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- " <td>45.750</td>\n",
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- " <td>468583.998760</td>\n",
- " <td>67896.099071</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>45.750</td>\n",
- " <td>5.770833</td>\n",
- " <td>470205.071996</td>\n",
- " <td>67861.370124</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>45.750</td>\n",
- " <td>5.791667</td>\n",
- " <td>471826.154581</td>\n",
- " <td>67827.071937</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>45.750</td>\n",
- " <td>5.812500</td>\n",
- " <td>473447.209294</td>\n",
- " <td>67793.205284</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>45.750</td>\n",
- " <td>5.833333</td>\n",
- " <td>475068.310228</td>\n",
- " <td>67759.768620</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
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- " <tr>\n",
- " <th>24818</th>\n",
- " <td>47.875</td>\n",
- " <td>10.666667</td>\n",
- " <td>841441.713932</td>\n",
- " <td>307693.446825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24819</th>\n",
- " <td>47.875</td>\n",
- " <td>10.687500</td>\n",
- " <td>842999.041467</td>\n",
- " <td>307757.783050</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24820</th>\n",
- " <td>47.875</td>\n",
- " <td>10.708334</td>\n",
- " <td>844556.423410</td>\n",
- " <td>307822.535825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24821</th>\n",
- " <td>47.875</td>\n",
- " <td>10.729167</td>\n",
- " <td>846113.717075</td>\n",
- " <td>307887.699212</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24822</th>\n",
- " <td>47.875</td>\n",
- " <td>10.750000</td>\n",
- " <td>847670.993643</td>\n",
- " <td>307953.276158</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>24823 rows × 4 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " lat lon x y\n",
- "0 45.750 5.750000 468583.998760 67896.099071\n",
- "1 45.750 5.770833 470205.071996 67861.370124\n",
- "2 45.750 5.791667 471826.154581 67827.071937\n",
- "3 45.750 5.812500 473447.209294 67793.205284\n",
- "4 45.750 5.833333 475068.310228 67759.768620\n",
- "... ... ... ... ...\n",
- "24818 47.875 10.666667 841441.713932 307693.446825\n",
- "24819 47.875 10.687500 842999.041467 307757.783050\n",
- "24820 47.875 10.708334 844556.423410 307822.535825\n",
- "24821 47.875 10.729167 846113.717075 307887.699212\n",
- "24822 47.875 10.750000 847670.993643 307953.276158\n",
- "\n",
- "[24823 rows x 4 columns]"
- ]
- },
- "execution_count": 17,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "list_of_locations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "# select only spatial dimensions and convert to an xarray dataframe\n",
- "locations_array = list_of_locations.set_index(['lon','lat']).to_xarray()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<pre>&lt;xarray.Dataset&gt;\n",
- "Dimensions: (lat: 103, lon: 241)\n",
- "Coordinates:\n",
- " * lon (lon) float64 5.75 5.771 5.792 5.812 ... 10.69 10.71 10.73 10.75\n",
- " * lat (lat) float64 45.75 45.77 45.79 45.81 ... 47.81 47.83 47.85 47.88\n",
- "Data variables:\n",
- " x (lon, lat) float64 4.686e+05 4.686e+05 ... 8.478e+05 8.477e+05\n",
- " y (lon, lat) float64 6.79e+04 7.021e+04 ... 3.056e+05 3.08e+05</pre>"
- ],
- "text/plain": [
- "<xarray.Dataset>\n",
- "Dimensions: (lat: 103, lon: 241)\n",
- "Coordinates:\n",
- " * lon (lon) float64 5.75 5.771 5.792 5.812 ... 10.69 10.71 10.73 10.75\n",
- " * lat (lat) float64 45.75 45.77 45.79 45.81 ... 47.81 47.83 47.85 47.88\n",
- "Data variables:\n",
- " x (lon, lat) float64 4.686e+05 4.686e+05 ... 8.478e+05 8.477e+05\n",
- " y (lon, lat) float64 6.79e+04 7.021e+04 ... 3.056e+05 3.08e+05"
- ]
- },
- "execution_count": 19,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "locations_array"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {},
- "outputs": [],
- "source": [
- "meteo = xr.merge([meteo, locations_array])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Save output"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "timestamp\n",
- "SIS\n",
- "SISDIR\n",
- "ALB\n",
- "time\n",
- "day\n",
- "lat\n",
- "lon\n",
- "apparent_zenith\n",
- "azimuth\n",
- "rel_airmass\n",
- "DNI_extra\n",
- "DHI\n",
- "DNI\n",
- "x\n",
- "y\n"
- ]
- }
- ],
- "source": [
- "# Reduce file size\n",
- "for var in meteo.variables:\n",
- " print(var)\n",
- " if var in ['timestamp', 'day', 'lat', 'lon', 'time']: continue\n",
- " \n",
- " meteo[var] = meteo[var].astype('float32')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<pre>&lt;xarray.Dataset&gt;\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float32 nan nan ... 1.4174976\n",
- " SISDIR (day, timestamp, lat, lon) float32 nan nan ... 0.4364945\n",
- " ALB (day, timestamp, lat, lon) float32 nan nan ... 0.6246667\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ...\n",
- " apparent_zenith (timestamp, day) float32 nan nan nan ... 92.68027 92.55494\n",
- " azimuth (timestamp, day) float32 nan nan ... 238.32333 238.28328\n",
- " rel_airmass (timestamp, day) float32 nan nan nan nan ... nan nan nan\n",
- " DNI_extra (timestamp, day) float32 nan nan ... 1413.8844 1413.9406\n",
- " DHI (day, timestamp, lat, lon) float32 nan nan ... 0.98100317\n",
- " DNI (day, timestamp, lat, lon) float32 nan nan nan ... 0.0 0.0\n",
- " x (lon, lat) float32 468584.0 468633.9 ... 847768.8 847671.0\n",
- " y (lon, lat) float32 67896.1 70211.484 ... 305638.3 307953.28</pre>"
- ],
- "text/plain": [
- "<xarray.Dataset>\n",
- "Dimensions: (day: 31, lat: 103, lon: 241, timestamp: 178)\n",
- "Coordinates:\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
- " * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
- " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.729167 10.75\n",
- "Data variables:\n",
- " SIS (day, timestamp, lat, lon) float32 nan nan ... 1.4174976\n",
- " SISDIR (day, timestamp, lat, lon) float32 nan nan ... 0.4364945\n",
- " ALB (day, timestamp, lat, lon) float32 nan nan ... 0.6246667\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ...\n",
- " apparent_zenith (timestamp, day) float32 nan nan nan ... 92.68027 92.55494\n",
- " azimuth (timestamp, day) float32 nan nan ... 238.32333 238.28328\n",
- " rel_airmass (timestamp, day) float32 nan nan nan nan ... nan nan nan\n",
- " DNI_extra (timestamp, day) float32 nan nan ... 1413.8844 1413.9406\n",
- " DHI (day, timestamp, lat, lon) float32 nan nan ... 0.98100317\n",
- " DNI (day, timestamp, lat, lon) float32 nan nan nan ... 0.0 0.0\n",
- " x (lon, lat) float32 468584.0 468633.9 ... 847768.8 847671.0\n",
- " y (lon, lat) float32 67896.1 70211.484 ... 305638.3 307953.28"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "meteo"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [],
- "source": [
- "meteo.to_netcdf(os.path.join(fp, '%d_physical_potential_interp2.nc' %YEAR))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.6"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Potential_hourly/Tilted_radiation/exec_poa_irrad.sh b/Potential_hourly/Tilted_radiation/exec_poa_irrad.sh
index ec4897d..63c1660 100644
--- a/Potential_hourly/Tilted_radiation/exec_poa_irrad.sh
+++ b/Potential_hourly/Tilted_radiation/exec_poa_irrad.sh
@@ -1,61 +1,78 @@
#!/bin/bash
## == Settings
-#SBATCH --job-name=tilted_irrad
+#SBATCH --job-name=tilted_irrad_hr
+
+#SBATCH --account=leso-pb
#SBATCH --nodes=1
#SBATCH --mem=250G
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=1
-#SBATCH --time=02:00:00
+#SBATCH --time=04:00:00
-#SBATCH --workdir ./output
+#SBATCH --chdir=./output
-#SBATCH --array=1-97
+#SBATCH --array=1-1 ###97
-#SBATCH -o tilted_irrad_%A_%a.out # Standard output
-#SBATCH -e tilted_irrad_%A_%a.err # Standard error
+#SBATCH -o tilted_irrad_hr_%A_%a.out # Standard output
+#SBATCH -e tilted_irrad_hr_%A_%a.err # Standard error
echo STARTING AT $(date)
echo
## ====== Specify here the needed modules
module purge
-module load gcc python/3.6.5
+module load gcc python/3.7.3
## ====== Get slurm array ID
-N=${SLURM_ARRAY_TASK_ID}
+N=5 ## ${SLURM_ARRAY_TASK_ID}
echo Slurm array task ID: $N
echo
-WORKDIR= # PATH TO WORKING DIRECTORY
+WORKDIR=/scratch/walch/workdir_solar_hourly # PATH TO WORKING DIRECTORY
## ====== User input
PATH_TO_SCRIPT=$WORKDIR\/poa_irradiance.py
+PATH_TO_SCRIPT2=$WORKDIR\/merge_poa_batch.py
# input file paths:
-ROOFTOPS= # ABSOLUTE PATH TO FILE WITH ROOFTOP INFORMATION
-METEO= # ABSOLUTE PATH TO FILE WITH SOLAR RADIATION DATA
-ALBEDO='map' # (choose btw map and constant)
+ROOFTOPS=/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv # ABSOLUTE PATH TO FILE WITH ROOFTOP INFORMATION
+METEO=/work/hyenergy/raw/METEO/MeteoSwiss_satellite/2010_physical_potential_interp.nc # ABSOLUTE PATH TO FILE WITH SOLAR RADIATION DATA
+ALBEDO='map' # (choose btw map and constant)
-BATCH_SIZE=100000 # 200000 corresponds to 49 batches, 100000 corresponds to 97 batches
+BATCH_SIZE=500 # 100000 # 200000 corresponds to 49 batches, 100000 corresponds to 97 batches
+MINIBATCH_SIZE=100 # 1000
+N_MINIBATCH=`expr $BATCH_SIZE \/ $MINIBATCH_SIZE - 1`
## ===== Variable definitions
CURR_ID=`expr $N - 1`
-START_ID=`expr $CURR_ID \* $BATCH_SIZE + 1`
-OUTPUT=$WORKDIR\/tmp/poa_irradiance_$CURR_ID\.nc
+START_ID=`expr $CURR_ID \* $BATCH_SIZE`
## ===== Execute script
source activate py3
-python $PATH_TO_SCRIPT $METEO $ROOFTOPS $OUTPUT $ALBEDO $START_ID $BATCH_SIZE
+for BATCH in `seq 0 $N_MINIBATCH`
+do
+ START_BATCH=`expr $START_ID + $BATCH \* $MINIBATCH_SIZE + 1`
+ OUTPUT=$WORKDIR\/tmp/poa_irradiance_$CURR_ID\_$BATCH\.nc
+ python $PATH_TO_SCRIPT $METEO $ROOFTOPS $OUTPUT $ALBEDO $START_BATCH $MINIBATCH_SIZE
+done
+
+OUTPUT=$WORKDIR\/tmp/poa_irradiance_$CURR_ID\.nc
+python $PATH_TO_SCRIPT2 $OUTPUT
+
+if test -f "$OUTPUT"; then
+ echo "$OUTPUT exist"
+ rm $WORKDIR\/tmp/poa_irradiance_$CURR_ID\_*.nc
+fi
# conda deactivate
echo
-echo FINISHED AT $(date)
+echo FINISHED AT $(date)
\ No newline at end of file
diff --git a/Potential_hourly/Tilted_radiation/poa_irradiance.ipynb b/Potential_hourly/Tilted_radiation/poa_irradiance.ipynb
index 420abbd..c9fe38e 100644
--- a/Potential_hourly/Tilted_radiation/poa_irradiance.ipynb
+++ b/Potential_hourly/Tilted_radiation/poa_irradiance.ipynb
@@ -1,1227 +1,3222 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"\n",
"import os\n",
"import sys\n",
"import util\n",
"import time\n",
"\n",
"import pvlib.irradiance as pvlib\n",
"import rooftop_handling\n",
"import pyproj"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Define functions"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def round_to_interval(x, round_int):\n",
" return np.round(x / round_int) * round_int"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def map_coords_to_pixel(coords, offset, pixel_res, col_names = ['lon', 'lat'], decimals = 5 ):\n",
" tmp_lon = coords['lon'] - offset[0]\n",
" tmp_lat = coords['lat'] - offset[1]\n",
" tmp_lon_rounded = round_to_interval(tmp_lon, pixel_res[0])\n",
" tmp_lat_rounded = round_to_interval(tmp_lat, pixel_res[1])\n",
" \n",
" return_df = coords.copy()\n",
" return_df[col_names[0]] = (tmp_lon_rounded + offset[0]).round( decimals )\n",
" return_df[col_names[1]] = (tmp_lat_rounded + offset[1]).round( decimals )\n",
" \n",
" return return_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Define inputs"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Meteo data loaded from /Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Meteo_data/Meteoswiss_satellite/raw_data/2010_physical_potential_interp.nc\n",
"Rooftop data loaded from /Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv\n",
"Data will be saved to hourly_poa.nc\n",
"Loading slice: 100 rows, starting from ID 1\n"
]
}
],
"source": [
"fp = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/'\n",
"\n",
"meteo_file = os.path.join(fp, 'Meteo_data/Meteoswiss_satellite/raw_data/2010_physical_potential_interp.nc')\n",
"print('Meteo data loaded from %s' %meteo_file)\n",
"\n",
"rooftop_file = os.path.join(fp, 'Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv')\n",
"print('Rooftop data loaded from %s' %rooftop_file)\n",
"\n",
"savefile = 'hourly_poa.nc'\n",
"print('Data will be saved to %s' %savefile)\n",
"\n",
"albedo_in = 'map' # 'constant'\n",
"\n",
"start_index = 1\n",
"n_rows = 100\n",
"get_slice = True\n",
"print('Loading slice: %d rows, starting from ID %d' %(n_rows, start_index))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Constants"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"ROOFTOP_FEATURES = ['XCOORD', 'YCOORD', 'DF_UID', 'FLAECHE', 'panel_tilt', 'panel_direction']\n",
"UNIQUE_FEATURE = 'DF_UID'\n",
"DIFFUSE_MODEL = 'perez'\n",
"\n",
"albedo_input = {\n",
" 'constant' : lambda ds : 0.2 ,\n",
" 'map' : lambda ds : ds['ALB']\n",
- "}"
+ "}\n",
+ "\n",
+ "ZENITH_THRESH = 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load and preprocess data"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# Create dataframe of rooftops\n",
"field_names = pd.read_csv(rooftop_file, nrows = 0).columns\n",
"rooftops_all = pd.read_csv(rooftop_file, skiprows = start_index, nrows = n_rows, header = None, names = field_names)\n",
"rooftops = rooftops_all.loc[:, ROOFTOP_FEATURES]\n",
"\n",
"# Open datasets\n",
"meteo = xr.open_dataset( meteo_file )"
]
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"if not ('ALB' in meteo.variables):\n",
" albedo_in = 'constant'"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"dLat = meteo.lat.to_pandas().diff().mean()\n",
"dLon = meteo.lon.to_pandas().diff().mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Project rooftops to lonlat"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/pyproj/crs/crs.py:53: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
" return _prepare_from_string(\" \".join(pjargs))\n",
"/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/pyproj/crs/crs.py:294: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
" projstring = _prepare_from_string(\" \".join((projstring, projkwargs)))\n",
"/Users/alinawalch/miniconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:4: DeprecationWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
" after removing the cwd from sys.path.\n"
]
}
],
"source": [
"latlong = pyproj.Proj(proj='latlong')\n",
"swiss = pyproj.Proj(init='EPSG:21781')\n",
"swiss(600000, 200000, inverse=True)\n",
"transformer = lambda x, y: pyproj.transform(swiss, latlong, x, y)\n",
"\n",
"# transform x and y into lon and lat and append to list_of_locations\n",
"rooftops['lon'], rooftops['lat'] = transformer(rooftops['XCOORD'].values, rooftops['YCOORD'].values)"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>DF_UID</th>\n",
" <th>FLAECHE</th>\n",
" <th>panel_tilt</th>\n",
" <th>panel_direction</th>\n",
" <th>lon</th>\n",
" <th>lat</th>\n",
" </tr>\n",
" </thead>\n",
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"</div>"
],
"text/plain": [
" XCOORD YCOORD DF_UID FLAECHE panel_tilt \\\n",
"0 621674.951286 254203.972784 1 15.948816 37 \n",
"1 621675.374179 254206.313551 2 13.730555 44 \n",
"2 621673.977050 254186.956803 3 63.437476 12 \n",
"3 621696.695450 254249.767806 4 38.368910 33 \n",
"4 621692.928934 254250.448974 5 36.403273 35 \n",
"\n",
" panel_direction lon lat \n",
"0 190.0 7.725957 47.438275 \n",
"1 10.0 7.725962 47.438296 \n",
"2 100.0 7.725943 47.438122 \n",
"3 100.0 7.726247 47.438686 \n",
"4 280.0 7.726197 47.438693 "
]
},
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rooftops.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Extract meteo slice"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# if only a part of the data is queried, use only the subset of the meteo data in that range, for efficiency reasons\n",
"if get_slice:\n",
" meteo = meteo.sel( lon = slice( rooftops.lon.min()-dLon, rooftops.lon.max()+dLon), \n",
" lat = slice( rooftops.lat.min()-dLat, rooftops.lat.max()+dLat) )"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<pre>&lt;xarray.Dataset&gt;\n",
- "Dimensions: (day: 31, lat: 3, lon: 6, timestamp: 178)\n",
+ "Dimensions: (day: 31, lat: 3, lon: 6, timestamp: 154)\n",
"Coordinates:\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
" * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 47.416664 47.4375 47.458332\n",
" * lon (lon) float32 7.7083335 7.729167 7.75 ... 7.791667 7.8125\n",
+ " * lat (lat) float32 47.416664 47.4375 47.458332\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" SIS (day, timestamp, lat, lon) float32 ...\n",
" SISDIR (day, timestamp, lat, lon) float32 ...\n",
" ALB (day, timestamp, lat, lon) float32 ...\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ...\n",
+ " time (day, timestamp) datetime64[ns] ...\n",
" apparent_zenith (timestamp, day) float32 ...\n",
" azimuth (timestamp, day) float32 ...\n",
" rel_airmass (timestamp, day) float32 ...\n",
" DNI_extra (timestamp, day) float32 ...\n",
" DHI (day, timestamp, lat, lon) float32 ...\n",
" DNI (day, timestamp, lat, lon) float32 ...\n",
" x (lon, lat) float32 ...\n",
" y (lon, lat) float32 ...</pre>"
],
"text/plain": [
"<xarray.Dataset>\n",
- "Dimensions: (day: 31, lat: 3, lon: 6, timestamp: 178)\n",
+ "Dimensions: (day: 31, lat: 3, lon: 6, timestamp: 154)\n",
"Coordinates:\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T06:00:00 ... 2010-12-15T16:00:00\n",
" * day (day) int64 1 2 3 4 5 6 7 8 9 ... 24 25 26 27 28 29 30 31\n",
- " * lat (lat) float32 47.416664 47.4375 47.458332\n",
" * lon (lon) float32 7.7083335 7.729167 7.75 ... 7.791667 7.8125\n",
+ " * lat (lat) float32 47.416664 47.4375 47.458332\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" SIS (day, timestamp, lat, lon) float32 ...\n",
" SISDIR (day, timestamp, lat, lon) float32 ...\n",
" ALB (day, timestamp, lat, lon) float32 ...\n",
- " time (day, timestamp, lat, lon) datetime64[ns] ...\n",
+ " time (day, timestamp) datetime64[ns] ...\n",
" apparent_zenith (timestamp, day) float32 ...\n",
" azimuth (timestamp, day) float32 ...\n",
" rel_airmass (timestamp, day) float32 ...\n",
" DNI_extra (timestamp, day) float32 ...\n",
" DHI (day, timestamp, lat, lon) float32 ...\n",
" DNI (day, timestamp, lat, lon) float32 ...\n",
" x (lon, lat) float32 ...\n",
" y (lon, lat) float32 ..."
]
},
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"meteo"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Link rooftops to pixels"
]
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"px_coord = ['lon_px', 'lat_px']\n",
"rooftops[px_coord] = map_coords_to_pixel(rooftops[['lon','lat']], [5.75, 45.75], [dLon, dLat], px_coord )[px_coord]"
]
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Created meteo dataframe in 37.53s\n"
+ "Created meteo dataframe in 26.26s\n"
]
}
],
"source": [
"tt = time.time()\n",
"meteo_df = meteo.to_dataframe().reset_index().dropna()\n",
"meteo_df[px_coord] = map_coords_to_pixel(meteo_df[['lon','lat']], [5.75, 45.75], [dLon, dLat], px_coord )[px_coord]\n",
"print('Created meteo dataframe in %.2fs' %(time.time()-tt))"
]
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Merged in 0.15s\n"
]
}
],
"source": [
"# merge rooftops with meteo data\n",
"tt = time.time()\n",
"merged_dataset = rooftops.merge(meteo_df.drop(columns = ['x','y','lon','lat']), on = px_coord, how = 'left')\n",
"print('Merged in %.2fs' %(time.time()-tt))"
]
},
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " .dataframe tbody tr th {\n",
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- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>XCOORD</th>\n",
- " <th>YCOORD</th>\n",
- " <th>DF_UID</th>\n",
- " <th>FLAECHE</th>\n",
- " <th>panel_tilt</th>\n",
- " <th>panel_direction</th>\n",
- " <th>lon</th>\n",
- " <th>lat</th>\n",
- " <th>lon_px</th>\n",
- " <th>lat_px</th>\n",
- " <th>...</th>\n",
- " <th>SIS</th>\n",
- " <th>SISDIR</th>\n",
- " <th>ALB</th>\n",
- " <th>time</th>\n",
- " <th>apparent_zenith</th>\n",
- " <th>azimuth</th>\n",
- " <th>rel_airmass</th>\n",
- " <th>DNI_extra</th>\n",
- " <th>DHI</th>\n",
- " <th>DNI</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>621674.951286</td>\n",
- " <td>254203.972784</td>\n",
- " <td>1</td>\n",
- " <td>15.948816</td>\n",
- " <td>37</td>\n",
- " <td>190.0</td>\n",
- " <td>7.725957</td>\n",
- " <td>47.438275</td>\n",
- " <td>7.72917</td>\n",
- " <td>47.4375</td>\n",
- " <td>...</td>\n",
- " <td>25.611097</td>\n",
- " <td>1.580703</td>\n",
- " <td>0.237</td>\n",
- " <td>2010-01-01 08:00:00</td>\n",
- " <td>84.268402</td>\n",
- " <td>132.682755</td>\n",
- " <td>9.194190</td>\n",
- " <td>1413.981812</td>\n",
- " <td>24.030394</td>\n",
- " <td>15.827843</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>621674.951286</td>\n",
- " <td>254203.972784</td>\n",
- " <td>1</td>\n",
- " <td>15.948816</td>\n",
- " <td>37</td>\n",
- " <td>190.0</td>\n",
- " <td>7.725957</td>\n",
- " <td>47.438275</td>\n",
- " <td>7.72917</td>\n",
- " <td>47.4375</td>\n",
- " <td>...</td>\n",
- " <td>69.645355</td>\n",
- " <td>3.199604</td>\n",
- " <td>0.237</td>\n",
- " <td>2010-01-01 09:00:00</td>\n",
- " <td>77.576271</td>\n",
- " <td>144.864090</td>\n",
- " <td>4.557734</td>\n",
- " <td>1413.981812</td>\n",
- " <td>66.445755</td>\n",
- " <td>14.872209</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>621674.951286</td>\n",
- " <td>254203.972784</td>\n",
- " <td>1</td>\n",
- " <td>15.948816</td>\n",
- " <td>37</td>\n",
- " <td>190.0</td>\n",
- " <td>7.725957</td>\n",
- " <td>47.438275</td>\n",
- " <td>7.72917</td>\n",
- " <td>47.4375</td>\n",
- " <td>...</td>\n",
- " <td>69.121368</td>\n",
- " <td>1.747015</td>\n",
- " <td>0.237</td>\n",
- " <td>2010-01-01 10:00:00</td>\n",
- " <td>72.699699</td>\n",
- " <td>158.212891</td>\n",
- " <td>3.330113</td>\n",
- " <td>1413.981812</td>\n",
- " <td>67.374359</td>\n",
- " <td>5.874690</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>621674.951286</td>\n",
- " <td>254203.972784</td>\n",
- " <td>1</td>\n",
- " <td>15.948816</td>\n",
- " <td>37</td>\n",
- " <td>190.0</td>\n",
- " <td>7.725957</td>\n",
- " <td>47.438275</td>\n",
- " <td>7.72917</td>\n",
- " <td>47.4375</td>\n",
- " <td>...</td>\n",
- " <td>43.985062</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.237</td>\n",
- " <td>2010-01-01 11:00:00</td>\n",
- " <td>70.106644</td>\n",
- " <td>172.511551</td>\n",
- " <td>2.917829</td>\n",
- " <td>1413.981812</td>\n",
- " <td>43.985062</td>\n",
- " <td>0.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>621674.951286</td>\n",
- " <td>254203.972784</td>\n",
- " <td>1</td>\n",
- " <td>15.948816</td>\n",
- " <td>37</td>\n",
- " <td>190.0</td>\n",
- " <td>7.725957</td>\n",
- " <td>47.438275</td>\n",
- " <td>7.72917</td>\n",
- " <td>47.4375</td>\n",
- " <td>...</td>\n",
- " <td>37.378876</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.237</td>\n",
- " <td>2010-01-01 12:00:00</td>\n",
- " <td>70.076218</td>\n",
- " <td>187.187424</td>\n",
- " <td>2.913625</td>\n",
- " <td>1413.981812</td>\n",
- " <td>37.378876</td>\n",
- " <td>0.000000</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>5 rows × 22 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " XCOORD YCOORD DF_UID FLAECHE panel_tilt \\\n",
- "0 621674.951286 254203.972784 1 15.948816 37 \n",
- "1 621674.951286 254203.972784 1 15.948816 37 \n",
- "2 621674.951286 254203.972784 1 15.948816 37 \n",
- "3 621674.951286 254203.972784 1 15.948816 37 \n",
- "4 621674.951286 254203.972784 1 15.948816 37 \n",
- "\n",
- " panel_direction lon lat lon_px lat_px ... SIS \\\n",
- "0 190.0 7.725957 47.438275 7.72917 47.4375 ... 25.611097 \n",
- "1 190.0 7.725957 47.438275 7.72917 47.4375 ... 69.645355 \n",
- "2 190.0 7.725957 47.438275 7.72917 47.4375 ... 69.121368 \n",
- "3 190.0 7.725957 47.438275 7.72917 47.4375 ... 43.985062 \n",
- "4 190.0 7.725957 47.438275 7.72917 47.4375 ... 37.378876 \n",
- "\n",
- " SISDIR ALB time apparent_zenith azimuth \\\n",
- "0 1.580703 0.237 2010-01-01 08:00:00 84.268402 132.682755 \n",
- "1 3.199604 0.237 2010-01-01 09:00:00 77.576271 144.864090 \n",
- "2 1.747015 0.237 2010-01-01 10:00:00 72.699699 158.212891 \n",
- "3 0.000000 0.237 2010-01-01 11:00:00 70.106644 172.511551 \n",
- "4 0.000000 0.237 2010-01-01 12:00:00 70.076218 187.187424 \n",
- "\n",
- " rel_airmass DNI_extra DHI DNI \n",
- "0 9.194190 1413.981812 24.030394 15.827843 \n",
- "1 4.557734 1413.981812 66.445755 14.872209 \n",
- "2 3.330113 1413.981812 67.374359 5.874690 \n",
- "3 2.917829 1413.981812 43.985062 0.000000 \n",
- "4 2.913625 1413.981812 37.378876 0.000000 \n",
- "\n",
- "[5 rows x 22 columns]"
- ]
- },
- "execution_count": 23,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "merged_dataset.head()"
- ]
- },
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Compute irradiance"
]
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Computed irradiance in 0.16s\n"
+ "Computed irradiance in 0.21s\n"
]
}
],
"source": [
"# Compute tilted irradiance for entire dataframe \n",
"tt = time.time()\n",
"irradiance_components = pvlib.get_total_irradiance(\n",
" surface_tilt = merged_dataset['panel_tilt'], \n",
" surface_azimuth = merged_dataset['panel_direction'],\n",
" solar_zenith = merged_dataset['apparent_zenith'], \n",
" solar_azimuth = merged_dataset['azimuth'],\n",
" dni = merged_dataset['DNI'], \n",
" ghi = merged_dataset['SIS'], \n",
" dhi = merged_dataset['DHI'], \n",
" dni_extra = merged_dataset['DNI_extra'], \n",
" airmass = merged_dataset['rel_airmass'],\n",
" albedo = albedo_input[albedo_in](merged_dataset),\n",
" model = DIFFUSE_MODEL\n",
")\n",
"print('Computed irradiance in %.2fs' %(time.time()-tt))"
]
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Added columns for unique identification to dataframe in 0.09s\n"
+ "Added columns for unique identification to dataframe in 0.11s\n"
]
}
],
"source": [
"# add UNIQUE_FEATURE and timestamp to the tilted irradiance and drop data that can be calculated (global and diffuse)\n",
"tt = time.time()\n",
- "tilted_irradiance_features = [ UNIQUE_FEATURE, 'timestamp', 'day', 'time']\n",
+ "tilted_irradiance_features = [ UNIQUE_FEATURE, 'timestamp', 'day']\n",
"tilted_irradiance = pd.concat([ merged_dataset.loc[: ,tilted_irradiance_features], irradiance_components], axis = 1)\n",
"tilted_irradiance.drop(['poa_global' , 'poa_diffuse'], axis = 1, inplace = True)\n",
"\n",
"print('Added columns for unique identification to dataframe in %.2fs' %(time.time()-tt))"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Clean data"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
- " <th>timestamp</th>\n",
" <th>day</th>\n",
- " <th>time</th>\n",
" <th>poa_direct</th>\n",
" <th>poa_sky_diffuse</th>\n",
" <th>poa_ground_diffuse</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2010-01-15 08:00:00</td>\n",
- " <td>1</td>\n",
- " <td>2010-01-01 08:00:00</td>\n",
- " <td>6.380301</td>\n",
- " <td>22.714320</td>\n",
- " <td>0.611124</td>\n",
+ " <th>count</th>\n",
+ " <td>427701.000000</td>\n",
+ " <td>427701.000000</td>\n",
+ " <td>427701.000000</td>\n",
+ " <td>427701.000000</td>\n",
+ " <td>427701.000000</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>1</th>\n",
- " <td>1</td>\n",
- " <td>2010-01-15 09:00:00</td>\n",
- " <td>1</td>\n",
- " <td>2010-01-01 09:00:00</td>\n",
- " <td>8.721269</td>\n",
- " <td>63.880836</td>\n",
- " <td>1.661856</td>\n",
+ " <th>mean</th>\n",
+ " <td>51.564025</td>\n",
+ " <td>15.832397</td>\n",
+ " <td>127.143644</td>\n",
+ " <td>124.405696</td>\n",
+ " <td>4.307530</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>2</th>\n",
- " <td>1</td>\n",
- " <td>2010-01-15 10:00:00</td>\n",
- " <td>1</td>\n",
- " <td>2010-01-01 10:00:00</td>\n",
- " <td>4.264465</td>\n",
- " <td>61.279878</td>\n",
- " <td>1.649353</td>\n",
+ " <th>std</th>\n",
+ " <td>29.207463</td>\n",
+ " <td>8.750330</td>\n",
+ " <td>210.305837</td>\n",
+ " <td>94.277823</td>\n",
+ " <td>5.608217</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>3</th>\n",
- " <td>1</td>\n",
- " <td>2010-01-15 11:00:00</td>\n",
- " <td>1</td>\n",
- " <td>2010-01-01 11:00:00</td>\n",
+ " <th>min</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>1.000000</td>\n",
" <td>0.000000</td>\n",
- " <td>39.556547</td>\n",
- " <td>1.049558</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000329</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>4</th>\n",
- " <td>1</td>\n",
- " <td>2010-01-15 12:00:00</td>\n",
- " <td>1</td>\n",
- " <td>2010-01-01 12:00:00</td>\n",
+ " <th>25%</th>\n",
+ " <td>27.000000</td>\n",
+ " <td>8.000000</td>\n",
" <td>0.000000</td>\n",
- " <td>33.615487</td>\n",
- " <td>0.891923</td>\n",
+ " <td>50.024561</td>\n",
+ " <td>0.443573</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50%</th>\n",
+ " <td>52.000000</td>\n",
+ " <td>16.000000</td>\n",
+ " <td>21.809884</td>\n",
+ " <td>102.215841</td>\n",
+ " <td>1.960715</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>75%</th>\n",
+ " <td>77.000000</td>\n",
+ " <td>23.000000</td>\n",
+ " <td>178.787541</td>\n",
+ " <td>177.767181</td>\n",
+ " <td>6.265992</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>max</th>\n",
+ " <td>103.000000</td>\n",
+ " <td>31.000000</td>\n",
+ " <td>8833.152440</td>\n",
+ " <td>590.511653</td>\n",
+ " <td>56.405655</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " DF_UID timestamp day time poa_direct \\\n",
- "0 1 2010-01-15 08:00:00 1 2010-01-01 08:00:00 6.380301 \n",
- "1 1 2010-01-15 09:00:00 1 2010-01-01 09:00:00 8.721269 \n",
- "2 1 2010-01-15 10:00:00 1 2010-01-01 10:00:00 4.264465 \n",
- "3 1 2010-01-15 11:00:00 1 2010-01-01 11:00:00 0.000000 \n",
- "4 1 2010-01-15 12:00:00 1 2010-01-01 12:00:00 0.000000 \n",
- "\n",
- " poa_sky_diffuse poa_ground_diffuse \n",
- "0 22.714320 0.611124 \n",
- "1 63.880836 1.661856 \n",
- "2 61.279878 1.649353 \n",
- "3 39.556547 1.049558 \n",
- "4 33.615487 0.891923 "
+ " DF_UID day poa_direct poa_sky_diffuse \\\n",
+ "count 427701.000000 427701.000000 427701.000000 427701.000000 \n",
+ "mean 51.564025 15.832397 127.143644 124.405696 \n",
+ "std 29.207463 8.750330 210.305837 94.277823 \n",
+ "min 1.000000 1.000000 0.000000 0.000000 \n",
+ "25% 27.000000 8.000000 0.000000 50.024561 \n",
+ "50% 52.000000 16.000000 21.809884 102.215841 \n",
+ "75% 77.000000 23.000000 178.787541 177.767181 \n",
+ "max 103.000000 31.000000 8833.152440 590.511653 \n",
+ "\n",
+ " poa_ground_diffuse \n",
+ "count 427701.000000 \n",
+ "mean 4.307530 \n",
+ "std 5.608217 \n",
+ "min 0.000329 \n",
+ "25% 0.443573 \n",
+ "50% 1.960715 \n",
+ "75% 6.265992 \n",
+ "max 56.405655 "
]
},
- "execution_count": 22,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "tilted_irradiance.head()"
+ "tilted_irradiance.describe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tilted_irradiance.loc[merged_dataset.apparent_zenith >= (90-ZENITH_THRESH), 'poa_direct'] = 0"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Save output"
]
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Indexed data in 2.47s\n"
+ "Indexed data in 2.57s\n"
]
}
],
"source": [
"### Convert pandas dataframe back to xarray to save in a more efficient format\n",
"tt = time.time()\n",
"data_xr = tilted_irradiance.set_index(['DF_UID', 'timestamp', 'day']).to_xarray()\n",
"print('Indexed data in %.2fs' %(time.time()-tt))"
]
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Converted data to float32 in 0.01s\n"
]
}
],
"source": [
"# Reduce file size\n",
"tt = time.time()\n",
"for var in data_xr.variables:\n",
" if var in ['timestamp', 'day', 'time', 'DF_UID']: continue\n",
" \n",
" data_xr[var] = data_xr[var].astype('float32')\n",
"print('Converted data to float32 in %.2fs' %(time.time()-tt))"
]
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<pre>&lt;xarray.Dataset&gt;\n",
"Dimensions: (DF_UID: 100, day: 31, timestamp: 154)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T07:00:00 ... 2010-12-15T15:00:00\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
" * day (day) int64 1 2 3 4 5 6 7 8 ... 24 25 26 27 28 29 30 31\n",
"Data variables:\n",
- " time (DF_UID, timestamp, day) datetime64[ns] NaT ... 2010-12-31T15:00:00\n",
" poa_direct (DF_UID, timestamp, day) float32 nan nan ... 89.13184\n",
" poa_sky_diffuse (DF_UID, timestamp, day) float32 nan nan ... 55.760998\n",
" poa_ground_diffuse (DF_UID, timestamp, day) float32 nan nan ... 2.609271</pre>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 100, day: 31, timestamp: 154)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
- " * timestamp (timestamp) datetime64[ns] 2010-01-15T07:00:00 ... 2010-12-15T15:00:00\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
" * day (day) int64 1 2 3 4 5 6 7 8 ... 24 25 26 27 28 29 30 31\n",
"Data variables:\n",
- " time (DF_UID, timestamp, day) datetime64[ns] NaT ... 2010-12-31T15:00:00\n",
" poa_direct (DF_UID, timestamp, day) float32 nan nan ... 89.13184\n",
" poa_sky_diffuse (DF_UID, timestamp, day) float32 nan nan ... 55.760998\n",
" poa_ground_diffuse (DF_UID, timestamp, day) float32 nan nan ... 2.609271"
]
},
- "execution_count": 33,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_xr"
]
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_out = xr.merge([data_xr, meteo.time])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 100, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 ... 24 25 26 27 28 29 30 31\n",
+ "Data variables:\n",
+ " poa_direct (DF_UID, timestamp, day) float32 nan nan ... 89.13184\n",
+ " poa_sky_diffuse (DF_UID, timestamp, day) float32 nan nan ... 55.760998\n",
+ " poa_ground_diffuse (DF_UID, timestamp, day) float32 nan nan ... 2.609271\n",
+ " time (day, timestamp) datetime64[ns] NaT ... 2010-12-31T15:00:00</pre>"
+ ],
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 100, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 ... 24 25 26 27 28 29 30 31\n",
+ "Data variables:\n",
+ " poa_direct (DF_UID, timestamp, day) float32 nan nan ... 89.13184\n",
+ " poa_sky_diffuse (DF_UID, timestamp, day) float32 nan nan ... 55.760998\n",
+ " poa_ground_diffuse (DF_UID, timestamp, day) float32 nan nan ... 2.609271\n",
+ " time (day, timestamp) datetime64[ns] NaT ... 2010-12-31T15:00:00"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_out"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Saved file as hourly_poa.nc in 0.05s\n"
+ "Saved file as hourly_poa.nc in 0.03s\n"
]
}
],
"source": [
"# save output\n",
"tt = time.time()\n",
- "data_xr.to_netcdf( savefile )\n",
+ "data_out.to_netcdf( savefile )\n",
"print('Saved file as %s in %.2fs' %(savefile, time.time()-tt))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# SPIELWIESE"
]
},
{
- "cell_type": "markdown",
+ "cell_type": "code",
+ "execution_count": 27,
"metadata": {},
+ "outputs": [],
"source": [
- "### Check output"
+ "# data_xr.interpolate_na(dim = 'timestamp', max_gap = pd.Timedelta(2, unit = 'h'))"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 28,
"metadata": {},
- "outputs": [],
- "source": [
- "data1 = xr.open_dataset('hourly_poa.nc')"
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>timestamp</th>\n",
+ " <th>poa_direct</th>\n",
+ " <th>poa_sky_diffuse</th>\n",
+ " <th>poa_ground_diffuse</th>\n",
+ " <th>time</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>day</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>58.627380</td>\n",
+ " <td>437.949799</td>\n",
+ " <td>8.910584</td>\n",
+ " <td>2010-04-01 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>871.897644</td>\n",
+ " <td>165.511536</td>\n",
+ " <td>14.789034</td>\n",
+ " <td>2010-04-02 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>337.433441</td>\n",
+ " <td>383.026489</td>\n",
+ " <td>11.477159</td>\n",
+ " <td>2010-04-03 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>11.246007</td>\n",
+ " <td>292.700592</td>\n",
+ " <td>6.018301</td>\n",
+ " <td>2010-04-04 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>19.628920</td>\n",
+ " <td>234.846466</td>\n",
+ " <td>5.150024</td>\n",
+ " <td>2010-04-05 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>933.656250</td>\n",
+ " <td>101.926735</td>\n",
+ " <td>14.001450</td>\n",
+ " <td>2010-04-06 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>835.468628</td>\n",
+ " <td>189.246201</td>\n",
+ " <td>14.204192</td>\n",
+ " <td>2010-04-07 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>50.397758</td>\n",
+ " <td>392.791382</td>\n",
+ " <td>7.623906</td>\n",
+ " <td>2010-04-08 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>184.294830</td>\n",
+ " <td>436.489685</td>\n",
+ " <td>10.616509</td>\n",
+ " <td>2010-04-09 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>582.570007</td>\n",
+ " <td>306.224792</td>\n",
+ " <td>14.325546</td>\n",
+ " <td>2010-04-10 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>2010-04-11 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>147.639893</td>\n",
+ " <td>3.201383</td>\n",
+ " <td>2010-04-12 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>172.099380</td>\n",
+ " <td>364.004547</td>\n",
+ " <td>11.116250</td>\n",
+ " <td>2010-04-13 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>12.605769</td>\n",
+ " <td>170.376633</td>\n",
+ " <td>4.831899</td>\n",
+ " <td>2010-04-14 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>0.480077</td>\n",
+ " <td>179.448135</td>\n",
+ " <td>4.898616</td>\n",
+ " <td>2010-04-15 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>12.907339</td>\n",
+ " <td>227.434891</td>\n",
+ " <td>6.833384</td>\n",
+ " <td>2010-04-16 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>879.705261</td>\n",
+ " <td>168.770523</td>\n",
+ " <td>17.895031</td>\n",
+ " <td>2010-04-17 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>440.611969</td>\n",
+ " <td>398.176056</td>\n",
+ " <td>15.316809</td>\n",
+ " <td>2010-04-18 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>771.491943</td>\n",
+ " <td>261.924774</td>\n",
+ " <td>17.051628</td>\n",
+ " <td>2010-04-19 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>144.386978</td>\n",
+ " <td>231.531586</td>\n",
+ " <td>6.760463</td>\n",
+ " <td>2010-04-20 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>723.889893</td>\n",
+ " <td>301.647308</td>\n",
+ " <td>15.889792</td>\n",
+ " <td>2010-04-21 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>681.094360</td>\n",
+ " <td>311.204163</td>\n",
+ " <td>15.473826</td>\n",
+ " <td>2010-04-22 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>101.778984</td>\n",
+ " <td>434.287079</td>\n",
+ " <td>9.700240</td>\n",
+ " <td>2010-04-23 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>812.419922</td>\n",
+ " <td>234.217438</td>\n",
+ " <td>15.517939</td>\n",
+ " <td>2010-04-24 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>534.688049</td>\n",
+ " <td>358.005280</td>\n",
+ " <td>13.948730</td>\n",
+ " <td>2010-04-25 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>527.317444</td>\n",
+ " <td>377.766418</td>\n",
+ " <td>14.306162</td>\n",
+ " <td>2010-04-26 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>341.642120</td>\n",
+ " <td>391.991150</td>\n",
+ " <td>12.236830</td>\n",
+ " <td>2010-04-27 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>874.070984</td>\n",
+ " <td>155.920700</td>\n",
+ " <td>15.544290</td>\n",
+ " <td>2010-04-28 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>857.370239</td>\n",
+ " <td>144.634491</td>\n",
+ " <td>15.228338</td>\n",
+ " <td>2010-04-29 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>86.858627</td>\n",
+ " <td>358.725311</td>\n",
+ " <td>7.878361</td>\n",
+ " <td>2010-04-30 11:00:00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>103</td>\n",
+ " <td>2001-04-15 11:00:00</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaN</td>\n",
+ " <td>NaT</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID timestamp poa_direct poa_sky_diffuse \\\n",
+ "day \n",
+ "1 103 2001-04-15 11:00:00 58.627380 437.949799 \n",
+ "2 103 2001-04-15 11:00:00 871.897644 165.511536 \n",
+ "3 103 2001-04-15 11:00:00 337.433441 383.026489 \n",
+ "4 103 2001-04-15 11:00:00 11.246007 292.700592 \n",
+ "5 103 2001-04-15 11:00:00 19.628920 234.846466 \n",
+ "6 103 2001-04-15 11:00:00 933.656250 101.926735 \n",
+ "7 103 2001-04-15 11:00:00 835.468628 189.246201 \n",
+ "8 103 2001-04-15 11:00:00 50.397758 392.791382 \n",
+ "9 103 2001-04-15 11:00:00 184.294830 436.489685 \n",
+ "10 103 2001-04-15 11:00:00 582.570007 306.224792 \n",
+ "11 103 2001-04-15 11:00:00 NaN NaN \n",
+ "12 103 2001-04-15 11:00:00 0.000000 147.639893 \n",
+ "13 103 2001-04-15 11:00:00 172.099380 364.004547 \n",
+ "14 103 2001-04-15 11:00:00 12.605769 170.376633 \n",
+ "15 103 2001-04-15 11:00:00 0.480077 179.448135 \n",
+ "16 103 2001-04-15 11:00:00 12.907339 227.434891 \n",
+ "17 103 2001-04-15 11:00:00 879.705261 168.770523 \n",
+ "18 103 2001-04-15 11:00:00 440.611969 398.176056 \n",
+ "19 103 2001-04-15 11:00:00 771.491943 261.924774 \n",
+ "20 103 2001-04-15 11:00:00 144.386978 231.531586 \n",
+ "21 103 2001-04-15 11:00:00 723.889893 301.647308 \n",
+ "22 103 2001-04-15 11:00:00 681.094360 311.204163 \n",
+ "23 103 2001-04-15 11:00:00 101.778984 434.287079 \n",
+ "24 103 2001-04-15 11:00:00 812.419922 234.217438 \n",
+ "25 103 2001-04-15 11:00:00 534.688049 358.005280 \n",
+ "26 103 2001-04-15 11:00:00 527.317444 377.766418 \n",
+ "27 103 2001-04-15 11:00:00 341.642120 391.991150 \n",
+ "28 103 2001-04-15 11:00:00 874.070984 155.920700 \n",
+ "29 103 2001-04-15 11:00:00 857.370239 144.634491 \n",
+ "30 103 2001-04-15 11:00:00 86.858627 358.725311 \n",
+ "31 103 2001-04-15 11:00:00 NaN NaN \n",
+ "\n",
+ " poa_ground_diffuse time \n",
+ "day \n",
+ "1 8.910584 2010-04-01 11:00:00 \n",
+ "2 14.789034 2010-04-02 11:00:00 \n",
+ "3 11.477159 2010-04-03 11:00:00 \n",
+ "4 6.018301 2010-04-04 11:00:00 \n",
+ "5 5.150024 2010-04-05 11:00:00 \n",
+ "6 14.001450 2010-04-06 11:00:00 \n",
+ "7 14.204192 2010-04-07 11:00:00 \n",
+ "8 7.623906 2010-04-08 11:00:00 \n",
+ "9 10.616509 2010-04-09 11:00:00 \n",
+ "10 14.325546 2010-04-10 11:00:00 \n",
+ "11 NaN 2010-04-11 11:00:00 \n",
+ "12 3.201383 2010-04-12 11:00:00 \n",
+ "13 11.116250 2010-04-13 11:00:00 \n",
+ "14 4.831899 2010-04-14 11:00:00 \n",
+ "15 4.898616 2010-04-15 11:00:00 \n",
+ "16 6.833384 2010-04-16 11:00:00 \n",
+ "17 17.895031 2010-04-17 11:00:00 \n",
+ "18 15.316809 2010-04-18 11:00:00 \n",
+ "19 17.051628 2010-04-19 11:00:00 \n",
+ "20 6.760463 2010-04-20 11:00:00 \n",
+ "21 15.889792 2010-04-21 11:00:00 \n",
+ "22 15.473826 2010-04-22 11:00:00 \n",
+ "23 9.700240 2010-04-23 11:00:00 \n",
+ "24 15.517939 2010-04-24 11:00:00 \n",
+ "25 13.948730 2010-04-25 11:00:00 \n",
+ "26 14.306162 2010-04-26 11:00:00 \n",
+ "27 12.236830 2010-04-27 11:00:00 \n",
+ "28 15.544290 2010-04-28 11:00:00 \n",
+ "29 15.228338 2010-04-29 11:00:00 \n",
+ "30 7.878361 2010-04-30 11:00:00 \n",
+ "31 NaN NaT "
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_out.isel(DF_UID = 99, timestamp = 39).to_dataframe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_plot = data_out.copy()\n",
+ "data_plot['poa_global'] = data_plot['poa_direct']+data_plot['poa_sky_diffuse']+data_plot['poa_ground_diffuse']\n",
+ "data_plot['apparent_zenith'] = (90 - meteo.apparent_zenith)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
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\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# data_plot = data_out.copy()\n",
+ "data_plot.coords['timestamp'] = range(len(data_plot.timestamp))\n",
+ "\n",
+ "plt.figure()\n",
+ "data_plot.max(dim = ['DF_UID', 'day']).poa_global.plot()\n",
+ "plt.ylim(400, 1200)\n",
+ "\n",
+ "plt.gca().twinx()\n",
+ "data_plot.max(dim = ['DF_UID', 'day']).apparent_zenith.plot(c = 'C1')\n",
+ "plt.grid('on')\n",
+ "\n",
+ "tc = plt.xticks(range(len(data_plot.timestamp)), labels = data_out.timestamp.dt.hour.values)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ts = meteo.time.to_dataframe().dropna()\n",
+ "\n",
+ "irrad = tilted_irradiance[tilted_irradiance.DF_UID == 103].set_index(['day', 'timestamp'])\n",
+ "irr_glob = irrad.poa_direct + irrad.poa_sky_diffuse + irrad.poa_ground_diffuse\n",
+ "\n",
+ "plot_df = pd.concat([pd.DataFrame(irr_glob.rename('poa_global')), ts], axis = 1).reset_index().set_index('time')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/javascript": [
+ "/* Put everything inside the global mpl namespace */\n",
+ "window.mpl = {};\n",
+ "\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('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",
+ "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 = $('<div/>');\n",
+ " this._root_extra_style(this.root)\n",
+ " this.root.attr('style', 'display: inline-block');\n",
+ "\n",
+ " $(parent_element).append(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 (mpl.ratio != 1) {\n",
+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+ " 'ui-helper-clearfix\"/>');\n",
+ " var titletext = $(\n",
+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+ " 'text-align: center; padding: 3px;\"/>');\n",
+ " titlebar.append(titletext)\n",
+ " this.root.append(titlebar);\n",
+ " this.header = titletext[0];\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_canvas = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var canvas_div = $('<div/>');\n",
+ "\n",
+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+ "\n",
+ " function canvas_keyboard_event(event) {\n",
+ " return fig.key_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+ " this.canvas_div = canvas_div\n",
+ " this._canvas_extra_style(canvas_div)\n",
+ " this.root.append(canvas_div);\n",
+ "\n",
+ " var canvas = $('<canvas/>');\n",
+ " canvas.addClass('mpl-canvas');\n",
+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+ "\n",
+ " this.canvas = canvas[0];\n",
+ " this.context = canvas[0].getContext(\"2d\");\n",
+ "\n",
+ " var backingStore = this.context.backingStorePixelRatio ||\n",
+ "\tthis.context.webkitBackingStorePixelRatio ||\n",
+ "\tthis.context.mozBackingStorePixelRatio ||\n",
+ "\tthis.context.msBackingStorePixelRatio ||\n",
+ "\tthis.context.oBackingStorePixelRatio ||\n",
+ "\tthis.context.backingStorePixelRatio || 1;\n",
+ "\n",
+ " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+ "\n",
+ " var rubberband = $('<canvas/>');\n",
+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+ "\n",
+ " var pass_mouse_events = true;\n",
+ "\n",
+ " canvas_div.resizable({\n",
+ " start: function(event, ui) {\n",
+ " pass_mouse_events = false;\n",
+ " },\n",
+ " resize: function(event, ui) {\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " stop: function(event, ui) {\n",
+ " pass_mouse_events = true;\n",
+ " fig.request_resize(ui.size.width, ui.size.height);\n",
+ " },\n",
+ " });\n",
+ "\n",
+ " function mouse_event_fn(event) {\n",
+ " if (pass_mouse_events)\n",
+ " return fig.mouse_event(event, event['data']);\n",
+ " }\n",
+ "\n",
+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
+ " // Throttle sequential mouse events to 1 every 20ms.\n",
+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+ "\n",
+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+ "\n",
+ " canvas_div.on(\"wheel\", function (event) {\n",
+ " event = event.originalEvent;\n",
+ " event['data'] = 'scroll'\n",
+ " if (event.deltaY < 0) {\n",
+ " event.step = 1;\n",
+ " } else {\n",
+ " event.step = -1;\n",
+ " }\n",
+ " mouse_event_fn(event);\n",
+ " });\n",
+ "\n",
+ " canvas_div.append(canvas);\n",
+ " canvas_div.append(rubberband);\n",
+ "\n",
+ " this.rubberband = rubberband;\n",
+ " this.rubberband_canvas = rubberband[0];\n",
+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
+ "\n",
+ " this._resize_canvas = function(width, height) {\n",
+ " // Keep the size of the canvas, canvas container, and rubber band\n",
+ " // canvas in synch.\n",
+ " canvas_div.css('width', width)\n",
+ " canvas_div.css('height', height)\n",
+ "\n",
+ " canvas.attr('width', width * mpl.ratio);\n",
+ " canvas.attr('height', height * mpl.ratio);\n",
+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+ "\n",
+ " rubberband.attr('width', width);\n",
+ " rubberband.attr('height', height);\n",
+ " }\n",
+ "\n",
+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+ " // upon first draw.\n",
+ " this._resize_canvas(600, 600);\n",
+ "\n",
+ " // Disable right mouse context menu.\n",
+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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",
+ " // put a spacer in here.\n",
+ " continue;\n",
+ " }\n",
+ " var button = $('<button/>');\n",
+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+ " 'ui-button-icon-only');\n",
+ " button.attr('role', 'button');\n",
+ " button.attr('aria-disabled', 'false');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ "\n",
+ " var icon_img = $('<span/>');\n",
+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+ " icon_img.addClass(image);\n",
+ " icon_img.addClass('ui-corner-all');\n",
+ "\n",
+ " var tooltip_span = $('<span/>');\n",
+ " tooltip_span.addClass('ui-button-text');\n",
+ " tooltip_span.html(tooltip);\n",
+ "\n",
+ " button.append(icon_img);\n",
+ " button.append(tooltip_span);\n",
+ "\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " var fmt_picker_span = $('<span/>');\n",
+ "\n",
+ " var fmt_picker = $('<select/>');\n",
+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+ " fmt_picker_span.append(fmt_picker);\n",
+ " nav_element.append(fmt_picker_span);\n",
+ " this.format_dropdown = fmt_picker[0];\n",
+ "\n",
+ " for (var ind in mpl.extensions) {\n",
+ " var fmt = mpl.extensions[ind];\n",
+ " var option = $(\n",
+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+ " fmt_picker.append(option);\n",
+ " }\n",
+ "\n",
+ " // Add hover states to the ui-buttons\n",
+ " $( \".ui-button\" ).hover(\n",
+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
+ " );\n",
+ "\n",
+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\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",
+ "\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",
+ "\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]);\n",
+ " fig.send_message(\"refresh\", {});\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+ " var x0 = msg['x0'] / mpl.ratio;\n",
+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+ " var x1 = msg['x1'] / mpl.ratio;\n",
+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
+ " var cursor = msg['cursor'];\n",
+ " switch(cursor)\n",
+ " {\n",
+ " case 0:\n",
+ " cursor = 'pointer';\n",
+ " break;\n",
+ " case 1:\n",
+ " cursor = 'default';\n",
+ " break;\n",
+ " case 2:\n",
+ " cursor = 'crosshair';\n",
+ " break;\n",
+ " case 3:\n",
+ " cursor = 'move';\n",
+ " break;\n",
+ " }\n",
+ " fig.rubberband_canvas.style.cursor = 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.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",
+ " /* 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",
+ " evt.data.type = \"image/png\";\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",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " fig.waiting = false;\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://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",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\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",
+ " * http://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",
+ " 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",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x * mpl.ratio;\n",
+ " var y = canvas_pos.y * mpl.ratio;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step,\n",
+ " guiEvent: simpleKeys(event)});\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",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value,\n",
+ " 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",
+ "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";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.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",
+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\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.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " var width = fig.canvas.width/mpl.ratio\n",
+ " fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\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/mpl.ratio\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('<div/>');\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\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) { continue; };\n",
+ "\n",
+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._root_extra_style = function(el){\n",
+ " var fig = this\n",
+ " el.on(\"remove\", function(){\n",
+ "\tfig.close_ws(fig, {});\n",
+ " });\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('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",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.Javascript object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
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NvI9ADcdSPRZ8feXx5rKTe/6LgIy6Z7a8ugXnj0AAwWAekOAV+8+Lt0mefYAXPJ0aymcK/YDwMtXrorqYfXXP6ekY7WCriGWZjY7BICqx9wDn6yQ3cfOSu3iueSTB+tLzuujF5iZ8dPa1/t7OLJzJXm4Wem0XdVz4Yc1+0TNialWra5cOEeol9Q9ftnOY3KX2/B3vZA8bDegsZr6LTUKy/i7a4XzkpwbAQQQQAAB2wjw/m2bqojqjRAARpU/fi/OAyh+656SmxcoNXyaXL3qeZyZ4bFqoQe14IP7ZuZ4s3fsHTwMaFVWnmzv2wPwUGKyNIhCALhxf6LPfH9mAkD3lXvN9ABcs+eE3PbeEg/OxU+3liI2CQBDmQNw6tJd8uxPG9LK9p9+jaV28dyGm06/L1bL9HXRHQI89Ls/5bvV/6Tds3dgZrgwNtnR+3uohuGr4fip26eL/5bn/7fR9Z+qh+D8YS0lXL1R27w5T3YcOeMho54Lt9UuIqXzZ4+ImLdHs3L5ZEKP2jEd8kYEjosggAACCDhCgPdvR1RjyIUgAAyZkBMEI8ADKBg1jolXgVADQDX0bsCXaz34do7tJOnTh2cInveLdv9WZWRo+4o+1XfwVLI0fDnyPQA37D8lncd79vaLRAC4ds8JudUrAFw4rJUUy5M1Kk3byiHA3ueqUjiHTBvYzHC5+n+xRqatO+CxfzhDaq0bC7WnreHCRmhH7/I8kVBeHk+4FgB6f35XvWLySrfqYbk7LVt1oayZMojqBZsra6awXNf9pFr3oIJPtfr1HfWKhf36XAABBBBAAIFoCvD+HU19+1ybANA+dRFXd8IDKK6qm8KGKFBmxHRRQyzdNzPhyMz1B3wWstj6UkfJlDE88wAa7QF44NQ5afTyXF0dM2U0Q7x+3ymf4b56AeB799SWfl5DgD16AJ69KDVeNDYH4B97T0pXr56YJfJmlTYVC8jQ9hXk+kyRXZAgnAGgCla2julouFr6f7lGpv1FAKOh0mEAACAASURBVGgYzMCO3vXrvRq39+cVCtwgs55obuDM5nfRCwDVmfq1LCPDOvj+QGD2Kqo37nvztsv5i1ekb4syUjCn5+I6/u5h+5iOEZnz8cqVq7Jo+1HJljmD1CmRx2wR2d+PwJIdR+XpH9bJhUtX5LmbK8f9ojc0FgQQQMBbgPdv2oQSIACkHURFgAdQVNi5aIwKlB0xXS6FEAD+uuGg9Jm62qP0m17sELbAyWgAuP/kOWn8ij0CwP8NaCo3T/CdA1ArAFz5TILkvyGzy/OUiQDwr39OuuZi1Nr0FkoJZ5P1rqdQhgB7n+u6DOlk25hOhm+fANAwleEdvetErQT8hNtq3N6fl7sxu/w2uIXh85vZ0V/41rRsPvn84QZmTqe57/1TVsiCfxc9UQvazB3SwmOhEX/34B7qh3wjfk7Qd+pqmbkhZai73uro4by+U8+t5rNs9cY82XXsrKuIObJklFUj24btRy6nOlIuBBBwtgDv386uX6OlIwA0IHX48GFZsWKF638rV650/e/YsWOuIx944AH59NNPDZzl2i4zZ86UDz/80HW+I0eOSP78+aV+/frSp08f6dChg6FzXbp0ST7++GP54osvZNOmTXL69GkpUqSIJCQkyMCBA6Vy5cqGzqPKMX78ePnxxx9l165dov4RVapUKenatavrPHnz5jV0HrM78QAyK8b+8SwQagA4d/Mh6fXpKg/C6QObiep9li1zRstpjQaA+06ekyZRCADX/XPKJ+zTCwAn9qgtKpxy34INALWu637ecPV41KvgcPYANBsADvhyjfxCD0BLv4uBVuP2/rxM/mwyZ0h4VoH2F741LpNXvuzdMKSyX7x8Rco9M8PjHN7zUPq7hxXPtJEbb/DsMRjSDWkcvOPIaWnz5nyPTyL9nbe6THY5n9ZcrJ8/1ECalstnl1vkPhBAAIGoC/D+HfUqsMUNEAAaqIZ06fTnyTITAKpwrW/fvq7wT29TIeD777/v8au1974qtOvcubMsX75c8zSZM2eW9957T3r16uW3dCrI7NKlixw44DnsKvWgwoULy08//SR169Y1oGRuFx5A5rzYO74Fyj8zQy5cvhL0i+P8rUfkgSkrfBAL5sginzxYTyoVsm71T9ePCMOne1xLbxXgf06claav/q5bueF6OdbqiffzgCaavfMm9KjlM3+iewB48uwFqfnibx5l0FvhVGvosfuB4SqvHnA4A0CzQ4Af+2qt/O/P/UG3cSueEE6fA9D7e+jTAzS/6jUX+QCwYek88nWfRiFV4flLl6XCyJke5/jo/rqSULlA2p/5CwCXj2gjBXKENwBU7Vu1c/ctnHOxhgQaYwcnJl+U6s97TsXwWa/60qJ8/hgrCbeLAAIIhE+A9+/w2cbSmQkADdSWewBYrFgxqVSpkvz6a8o/NMwEgM8884yMHTvWdVytWrVk2LBhUqZMGdmxY4e89tprsnZtyj8M1X4vvfSS5p1dvnxZWrduLQsWLHB9ftttt0nv3r0lT548rkBQHad6LGbIkEGmTZsm7du31zzPvn37pE6dOnLo0CHJmDGjDB48WG666SbXvr/88ouMGzdOVC/DAgUKyOrVq129C63ceABZqcm5nC5QfuQM17xG7puZsGjx9qNyz0faPxi0rnijTOlZzzLCWAgAtVZFNhMAuvcWclIAGM0hwASAln0F007kHXgFCgBL5s0q84a2sv5GRMRf+Fa/ZB75tm9oAaB6PqrnpPv24X11pF2Vgroe7vsuG97GZ85AqyFmrDsgj3rNJxrOuVitvn87n+/0+UtS9blZHreoftxqVeFGO98294YAAghEVID374hy2/ZiBIAGqua5556TevXquf6nAjE1VFYNk1Wb0QBw+/btruBQhWqqR50K8K6//vq0q589e1ZatGghq1atcgVymzdvdoWD3psabvzggw+6/rhfv34yceJEj13UdVSwl5iYKOXKlZONGze6zue99ezZUz777DPXH3/77bfSvXt3j12+++47ueOOO1x/pq43ZcoUA1LGd+EBZNyKPRGoMHKGnA8hAFy645jcPXmZLqSZMDFQbahJ7kuPMNYDcO/xs9Lstcj3ANRajEMvAHz37lo+vXYealpKVHDapGw+cVIAqOZN+/3J4HqAhToH4MCv1srP9AAM9PUy9Pmly1ck+dIVn0BkQKuy8mT7Cmnn8K6z4nmyyoJhkQ8A65bILd8/2thQ2fR20goA37+3jnSoaiwAVCsRF8517d9kId2MzsGzNhyUR7zmYt08uoNkuS6yi/+Eo2zRPueZ85ekilcAOKVnXWld8VoP0GjfI9dHAAEEoi3A+3e0a8Ae1ycADKIeggkA+/fv7xqWq7alS5dKw4a+890sW7ZMGjVK+RV8wIAB8u677/rcXZUqVVyhXu7cuUV9ibNmzeqzzyuvvCLDhw93/fn3338v3bp189hH9fpTPfpUb0LVQ1DNSai1qfkIZ82a5epNqHoMqvDTqo0HkFWSnCceBCo+O0OSLwbfA3D5zmNy54eRCQDVasVq1WL3TW+BCzsFgD/1byJdvFboVWXQCgBTy6YChgal8kit0QwBDjUAfPzrtfLTHwwBDvV5phbWeeizVbLpQKLPqbxX2/Wus2J5rpeFw1qHeguax/vrAVi7eC75T78mIV1XOwCsLR2qFko7r797WPx0aykS5gBwzqZDrrpx39a/0F6yh2Ee1pAwY/DgsxcuSeVRnj0AP36grrSpVMD1I42af7Fs/hskZ9brYrB03DICCCBgjQDv39Y4xvpZCACDqEGzAaAaEqeGDqsQrWLFiq5FO/Q29fmWLVukaNGismfPHo+5ALdt2ybly5d3HarmEpw0aZLmaQ4ePCiFCqX8o7dHjx6uhULct8mTJ7sWHFHb119/LXfeeafmedRnd999t+szNW+hGmps1cYDyCpJzhMPApWenSnnLl72KKqZXnuRDABV76OyXpPx6wWAe46dleav26MHoF4AOP7uWqJ6p2ltap47NXcYAaDvEE+zi4AQAFrzJBszbaNMXvi35skebVlGnupQMe0z70BMBWAqCAvH5i98q1ksl/zY3/oAUK3g3amasQBw0VOtpGhu3x9UrbT4fcthefCTlR6n/HNUO0IpC5DPXbgslUZ5/pg9+f66Ur5Adrnjg6VyKPG8qDlvv32kkRTPG956tqA4nAIBBBAIiwDv32FhjbmTEgAGUWVmA8CdO3emDed95JFHXIt86G3q89RFQtRxqUON1f5qGO5DDz3kOvSrr76Su+66S/c8FSpUkK1bt0rx4sVl9+7dHvvdf//9MnXqVNefqQVACha8NkTGfUf1mVoIRG3qmNQhw0GQ+RzCA8gKRc4RLwJVRs2UMxdiOABsU04Gt0358cJ9233sjLR4fZ5uNZoJOc20Ba0hwCqA6KrRA9BfAKiuufbZtj4B4Lg7ashttYv63FI8LQJCAGimRVq3r7+gTV2ladl8MqJTJalcOIfPvHyFc2aRJcPbWHczbmcqPXyaXLmqfeoaRXPKTwOahnRdrUVA1AI+N1VP+TeM2vzZLBzWSorlCW8wtGDrEbnfazGm1SMTJG/2zCGVnYNFtHoAfnBfHVHDrv+zZl8a0W21i8i4O2pChgACCMSlAO/fcVntPoUmAAyiHZgNANViHKkLbLz11lsyaNAg3auqz9WCHGpTx3Xq1Clt36FDh8obb7zh+m+1YEjNmvr/iFGr+/7888+uHoRJSUmSLVu2tPOouQzVXIM5c+aUkydP+hVQ+6j5BNUxK1b4riIaBJ/rEB5AwcpxXDwKqMnN1STn7puZcCySPQAvXr4i5bx7AOoEgLuOnpGWb0Q+AFy754Tc+t4SD89gA8A1z7aV2l5DgAkARcwGgCwCYs2TLVAAqK6i5nqcO6SFz2rdqofUshHhCQDLjpgul3QSwGpFcsr/HrM+AFTD92+uYSwAXDC0Vdh7hi3ZflR6eC3G5L6gkDUtID7PohUAqika+n6+2gfEzN+d8alJqRFAwKkCvH87tWbNlYsA0JyXa2+zAaDq8ffoo4+6jlWLa9x+++26V1Vz9qUuyKGOUz0CUzfV4++bb75x/eeRI0ckX758uudRcwimLhCiFhRRPQJTN9XjT80DqOYTXL9+vV+BqlWryoYNG1y9BFWPQKObesD429S56tev79pl7969riHPbAggoC0QSwGg1lxcA3UCwL+PnpFWNgkA/9uvsU8oqGrjnbtqyuNf/6HbNLUCwLfurCG31qIH4LYx137ACvTdJgAMJGTscyMBoDqTCry8h9/feENmWfFMgrELmdyr3DPT5eJl7S6AlQvlkOmPNzN5Rs/dtXoAqu9ul5pF0nb0ZzPvyZZSMt+1H0pDuhmdg5ftPCZ3ec3FunR4aymUM7yLj4SjLHY7p1YAOOme2j6rLqv7JgC0W+1xPwggECkBAsBISdv7OgSAQdSP2QDw9ddfl2HDhrmuNGPGDFGLa+ht6vPUXn+qt9+QIUPSdu3cubNMn54yuf65c+ckS5Ysuud56qmn5LXXXnN9rnr7qZWBUzfVG1CtOtygQQNRC4/429Q+qudf9uzZXT0JjW6q56HRjQDQqBT7xatAtednSVJy8D0AV/x93DUPkt5m5QuR1ov4423KyRMaQ4CdGgDSA9B8D8ABX66RX/7y/JHJynZp5NmhFRBF+h6M3Ke/fYwGgHOGtJA2b873OFW+7Jll1cjwBIDlR84Q9eOA1lalcA6ZNjC0ADD54mWp+KznHHBv31lTutYyFgCq1a9Vz8hwblo9sQkArRHXWgVYzQHZ74s1PheIte+0NUKcBQEEEGAEHm0gRYAAMIiWYDYAHD16tIwaNcp1pTlz5kjr1vqTbM+dO1fatEkZgqOOGzlyZNodqj9Xn6tNreCbPn163btX11PHq23hwoXStOm14TVqVd8rV65Is2bNZMGCBX4Fmjdv7jpeHXPpkmcA4e9AAsAgGhaHIKAjEGoAGMkhwGYCwJ1HTktrrxDCnSBcL2paQ4D/06+x3OY1LFjdSzA9AAkACQCj9TAzGgCqIcDe37282TLJ6mfbhuXWtVYyT71QuAJA7564/mxUIFomf/awlD31pFrP4SVPt5bCYV59OKyFssnJtQLAiT1qS/8vYysAVD0ZP174tyRfuiy9mpRifkibtC9uAwGnCNAD0Ck1GVo5CACD8DMbAMZjD0CGAAfRsDgEAQcEgFo9cfR6AO44ctqnF1IkAsA1e074hH16AaDqRTToG/0hwGoS/zovzfaoOQJA8wGgelGfRg/AkJ+Bdg0AtVYyDzYAvHr1qvzf0t3y85/7pWrhHPJ0x0qiBh149wB8o3sNub3OtaH4/mxmD24hZW8kAAy5AUbpBFoBoJoDUk0t4L2l/rC0Yf8pUSu5lytwQ5Tu2veyD3+2SmZvOuT6oEKBG2TmoGauubzZEEAAASsECACtUIz9cxAABlGHZgPAeJwDMBArD6BAQnyOwDWBUHsARnIIsFYAOCihnAxK8F0FePvh05IwznMYYrQCwB8ebSzdJnkuDKLuxcoAUL1wdh6/SLdph6vHo94FvQMRNQRSDYUMZvM+l9lFQPp/sUamrYvOEODF24/K1yv3yv/+3K8bFgRjEo1jQgkAM2dMLytHJkiOLNdZfuv+AsCqRXLIL48ZHwK8ctdx6f7+tSkNhravIA81LeUTAL52e3W5o26xtLLYMQD8pGc9qV08t+TMar255ZVo4xOqRbLUXLnum17vbfWcHfXTeleIrLZhHSpIv5Zlo146rQW0furfRGoUyxX1e+MGEEDAGQK8fzujHkMtBQFgEIJmA8BffvlFbr75ZteVQlkF+Mknn5Q333zTdZ5QVgGuW7eurF69mlWAg6h7DkEgGgKhBoCRHAJsLgBMkoRx+tMQhCsQ0+oBqBcAqmGET3zzp2610wMwhSZWA8B/TpyVZq/9Lle116eIuQUDQgkAVT2mTycyvGMl6d28tN9HnRq+f12G9FIsT1ZDj0QrA8BO7yyUjQcSPa67eXQH3wCwW3W5o57RALC5lL0xvD3B9J7Dauj1pw/Wl2pFcxqyZCdfATMB4IoRbaT+2DkeJ9k+pqNkzKA/rY6W+fbDSbL3+DlpWDqvXJ8pQ8jVovV3Z5eaheXehiWkXsk8IZ+fEyCAAAIEgLQBJUAAGEQ7MBsA7ty5U8qUKeO6klrVV/UI1NvU5x9++KHrY3VcqVKl0nadMmWKPPTQQ67//uqrr0StCqy3qVV/t27dKsWLF5fdu1N+5Uzd7r//fpk6darrP9VqvGqFX61NfVa4cGHXR+qYzz77LAgt7UN4AFlGyYniQCCWAsBzFy5LpVGek/Hr9QDcdihJ2r4V+QBw9e4TPr399AJANZx38Lf6AaBaNKGuQ4YAl8ybVeYNbRXUN8o7eMqYPp1sH2t8FeB+X6yW6esOelw7XAGw+0WGfPun/LBGf9X6SNxDUOA6BxkNAFVPT38rcK97vp3coNMTcOz0TfLhgp2uYbcjO1d29b4LtPkLAKsVySn/e+zaPMWBzlVn9G9y7MwFj920AsBXbqsmd9Uvnraf/x6A0QsA1Q02LJ1Hvu7TKFDRTX1+5cpV+c/afXLy7AXpXqeYo3sZagWAej/efPJgPXnwk5Uelv7auxb6zPUHZMCXa+XSlatS7sbsrvab5brQQkCtADD12i/cUkUeaFzSVP2zMwIIIOAtwPs3bUIJEAAG0Q7MBoBqvpqiRYvK/v37pWLFirJp0ybdq1aqVEk2b94sRYoUEbU6rvvcHyrQU8Ge2vr27SuTJk3SPM/BgwelUKFCrs/uvvtu+fLLLz32UwGjChrV9vXXX8udd96peR71mTpebR988IH06dMnCC3tQ3gAWUbJieJAINQAMJJDgNUk5pVHeQ7FeiKhvDyeUM6nprYeSpJ2tgkAG0m3Sb4rJVsZANp9CHCkAsDDicnywv82ypGk8/JoyzLSquKNEq0A8Lb3FsuaPSd1nyJODQDnPdlSWr4xT7fcXzzcQJqUzefz+dHT530CbyO9p/wFgNWL5pSfBxgPAOuNme1qO+7bphc7+PzwYCYA/O2J5mGfCy6SPbGVzQv/2yCfLN7lYiqdP5vMfqKFpFddPB24aQWAb3avIUO+8/3x5tMH60lPrwDwr+fbmRr6XmHkDDnvtqr12FurSY8G18LmYIj9BYDqfLH2LArGgGMQQCC8Arx/h9c3Vs5OABhETZkNANUl+vXrlxbYLV26VBo2bOhz5WXLlkmjRim/AKv9J06c6LNP5cqVXQFinjx5XAFh1qy+w29eeeUVGT58uOvYb7/9Vrp37+5xHhUQqoBRrQTcvn17mTnTs7dO6s4dOnSQWbNmuVYb3rdvn25PwSAIhQdQMGocE68CsRQAak3GTgCY0nLtHgBGag7ARz9fLTPWp/T2U3MFrhrZVob/56+o9AC8fdISWbX7hO6jJdZeuo32AAw2AJy35bBPeGKk91TlUTPl7IXLms5mA8CGY+fIwcRkj3MRAPrSercFNd+gCtuduCUlX5Rqz//qUTS9APCzXvXlgSkrPPY1GwB62zYpm1e+eNj33/VmrLV6z7sfP6RteWlQOq/UL8VwYDOu7IsAAtcEeP+mNSgBAsAg2kEwAaDqvVelShW5dOmSqDn4FixYINdff33a1c+dOyfNmzeXVatWScaMGWXjxo1Srpxvjxn3YcD9+/eXCRMmeJRgx44dUrt2bUlMTHQNO1a9CdX5vDf3YcDfffed3H777R67qD+74447XH/2wAMPyKeffhqElP4hPIAs5eRkDhcgALS2grWGAH/ft5Hc7rawQOoVA/UAXPlMgqgeSe6b3irAdg8AI9UD0PvlWU3Cv37fqagEgN3fXyIrd8VfADh/aEtp8br5HoALth6R+73Ckz+fayc5r/e/iIWVPQCbvDJX9p08Z2kA+OsTzaV8mFeDjXQPQO/v2YhOFaVP85TpaCK1qYUtluw4Jmqew6pFwjfHYagBoJE27G4WjgBQq/e8dz2pYfdf9W7omneQDQEEEDArwPu3WTFn7k8AaKBeFy1aJNu3b0/b8+jRozJ06FDXfzdp0kQefvhhj7P07NlT86yqV57qnae2WrVqyVNPPeUK6VRo9+qrr7oW9lCb2m/s2LGa57h8+bK0aNFCFi9e7Pq8W7du0rt3b8mdO7esWLFCRo8eLYcPH3b12lOLj3Ts2FHzPKr3YJ06deTIkSOugHDIkCFy0003ufZVx6nFRlRYmT9/flmzZo1rCLOVGw8gKzU5l9MFYikA1BqKZb8egMd9hvvqBYB6vUhS2xwBYIqEmTkAvfft07y0qMU4ojEH4B3vL5UVu47rPkKc2gMw2ABw4bYjct/Hnr2n/hjVVnJlzeT3MWxlANj8td9lz/GzHtfb+GJ7n6kHzAwBjkQAGMmpGLS+k093rCh9W0QuAFTT39z5wbK079forlXlvoYlwvLXtZkA8P961fcNsUe1MzVHovczrHGZvPJl79B6AGr1ntfDalYun/RqWkpaVXBmj86wNBJOigACjMCjDbgECAANNAQV6JlZAEP9o0drU0NuVVinevHpbWqRDzVHnwrw9DYVQHbq1ElWrvScxDh1/0yZMrl6Bqpr+duWL18uXbt2FTUkWGtTi4P8+OOP0qBBAwNK5nYhADTnxd7xLRBLAaDWi9jgtuVlYBvfHs1bDiZJ+7ejsQiIbwD4Xd9G0l2jB+Ab3WvIkxrzSKW2SCcFgFYOAfa3CIj3y/PDTUvJ/lPnohMAfrBUVDCjt8VrAPj5Qw2kaTnfOQAXbz8q93y03INr7bNtJXc2/wGgvyHANYrmlJ9MzAGoFi/5++gZSwPAWYOaS4WC4V0FON4CwEXbjsq9H3u2lXB9nxKTL0p1g0OApz5UP6gQ273BhSMA1PrxzN+/fNR0jstHJEj+GzLH9z+QKD0CCBgW4P3bMJWjdyQANFC9VgWAqZeaPn26K+RTAZ4K8/Llyyf16tVzLcyh12PP+zZV77zJkye7FvhQcwKeOXPGtWJvmzZt5PHHH3cNNzayqeu/8847rqBPDW1Wm1p5uEuXLjJo0CDJmzc8wwx4ABmpHfZBIEWAANDalrB6t3UB4Ipn2kj9MXM8bpAhwCJmAsBeTUrJwcToBIB3frBUlhMA+nzB9ALAJTuOSo/JnqGOWgk7X3b/IYSVAWCbN+fJjiMEgIGeit4h1VMdKroW3YnU9urMzTJp3g6Py9khAFRt2zuYNNKL1V8A2Kh0XvmqT2g9ALV+PAtUV72blZJnOlcOtBufI4AAAi4B3r9pCEqAAJB2EBUBHkBRYeeiMSoQSwGgVk+MWOgB+O0jjeSOD3xXAQ40BJgAMOVLFcoQ4J6NS7pWdZ227kBEwgL3i9z14VJZtjP+egAuGNpKmr/+u+4TUS8AXLbzmNz14TKP49Tw2RJ5s0rmjBl0z+c3ACyWS37q38Tw07ndW/Nl66HTHvtrDQF++bZqcnf9ayuz+lsgJR56AA5tX0H6typr2DnUHV+buVnei5EA0EgvVn8BYMPSeeTrPimL+AW7af3dGehcXWsWlrfvqhVoNz5HAAEEXAK8f9MQlAABIO0gKgI8gKLCzkVjVEAvALx85arMWH9A1P93rlZIMmbQnjpg5a7jmsNbUzms7JVhJgDcfDBROry9ULdWrLwv94us2nXcZ8EPvQAw0BBgrQBQhYbd6vjOm8oiICm14B3EqHnBjp05H5UhwD0mL3MtUqC3hasNhutRZHQV4IXDWkmz18wHgHrDWIvkul4+7llXKhbMoVk0fwFgzWK55McQA8ANL7SXKs/N8ri2mQBw5qBmuvduVV1FewhwpAPA12dtlom/R6YH4KlzF6XGC8ZWAf7i4QY+w9jXPNtW8gQYxu7eDry/Zw1K5ZFvHgktADx19qLUeNGzDIHaXpeaheUdAsBATHyOAAL/CvD+TVMgAKQNRE2AB1DU6LlwDAroBYCDvl4rP/6x31WiDlUKyvv31dEsXSRfPGM1APymT0O506tnk8K0MgBUK93e9O4i24RN3i+x0VoFuEeD4nLy7IWoBID3fLRMFm8nAPRulHo9ALXC89Rj21YuIJPvr0sAqPMNj+RzWCtoJwBMqZgvH24gPbzmsbRDAKiegTVf/M3Uv1AIAE1xsTMCcS/A+3fcNwEXAD0AaQdREeABFBV2LhqjAloB4F/Pt/OZ9HzZ8DZSMGcWn1JG8sXTaQFgwCHAI9pI/bGecwDq9QAkAExpmkZ7qUWi9929Hy2XRduP2iaUDfURZdQ22B6AWvNnut+zXp1Z2QOw/VsLZMuhJA+qUHsAzni8mVQqpN17MdQ6ST0+kj2xtb5nQ9qWl8c0FmOyqnze53lj1haZ8Pt2jz8O13faTA9ArQBw9cgEyRtgHkv3gnh/z+qXyiOqF3ko24kzF6TWaHMBIEOAQxHnWATiT4D37/irc60SEwDSDqIiwAMoKuxcNEYFtALARU+1kqaveg7h+0+/xlK7eG6fUkbyxVPrRUxvDsBNBxKl4zv2GAKs1wOQANDYlyaUOQD1rhCusMD9evd9vFwWbiMA9K4DvR6Aa/ackNveW2I6MK0yaqacuXBZ8zizQ4C1AsD1L7SXqiEMAY5EABjJH2K0AkC957Cxb7j5vd78dYu8OzdCAaDG8Fm9Z/dXvRvK3ZM957FUq7mbWU3XJwAsmUe+7RtaAHj8zAWpbTIApAeg+XbJEQjEswDv3/Fc+9fKTgBIO4iKAA+gqLBz0RgV0AoAl49oIw28ep6pHgiqJ4L3RgDoKaLl8XWfhj6LG6ijCACNfWliNQC8f8oKWbD1iOlAy5hK5Peyqgfg1IfqS7Ny+X0K8Mfek9J14mLTXv4CwFrFc8l/+xlfBCQcAeD0gc2kcuHw9gCMdgD4REJ5eTyhXMQapV0DQK1nvR0CwGOnz0udl2abqh8CQFNc7IxA3Avw/h33TcAFQABIO4iKAA+gRI8LLwAAIABJREFUqLBzUTeB7YeT5JUZm11/8lSHilKuwA229dEKANWQJe+XBTW0qXHZfLYLAPVePKPVA9DKAFAriGUIsEjG9Olk+9hOmt8poyFVJHoAPjBlhcwnAPSpJ70A8M+9J6ULAWBQf1dY/UPM1atXZeWuE6LWfqpTwveHH+/v2aCEcjIooXxQ9x7MQeN+3SLjo9gDUG/+Vq0AUC3mdOMNvtNn6JXb27ZeydzyXd/GwTClHXP09HmpazIAvKVGYRl/N6sAhwTPwQjEkQDv33FU2X6KSgBIO4iKAA+gqLBz0X8F1ItTm3HzZeeRM64/KZ0/m8wZ3ELSpUtnSyOtAPCPUW19Jgz/rFd9aVHet9eO1S+e/pC0hgDrBYAb9ydKp/GRHwKs5aE1LEyVM1APQALAlNYQqz0Ae36yQuZtib8egFpTCLh/r/UCwHX/nJKbJ5hfyMZfD8DaxXPJf0LsAbju+XZS7XnPFVTNrAI8bWBTqVI4Z1if/1Y/h4f/Z518tWKP6557Nyslz3Su7HH/3t/Jx9uUkyfaRjAA/G2rjJ+zzeOewhXqay2goRcAak33sGJEG7kxR3QDwMNJyVJ/jOd8soEaJAFgICE+RwABdwHev2kPSoAAkHYQFQEeQFFh56L/Cuw5dlaav+45f97cIS2kdP7stjTSCgDXPtvWZ8LwKT3rSuuKBXzKYPWLp98AUGMuJrsFgFpD8SIRAAYbnoSrUYZzFeAM6dPJjhjoAfjgJyvk9zgMABc/3VqavDJXt2npBYDBLmTjLwCsUyK3/PCo8d5TWkOA4y0A1OottvHF9pI1U8a0OvX+fg9sU07UPICR2sZFOQDU+/FGTZVxxwdLPRhCDQDrlsgt35tow1p1cDgx2WdBqUB1dXONwvIuPQADMfE5Agj8K8D7N02BAJA2EDUBHkBRo+fCIrL98GlJGDffwyISc0AFi280APzwvjrSrkpBAsAA0FoB4Je9G0iPyct9jgzUA1CtvNzwZWOrABMApvDaaQhwr09XytzNh3VbTLh6LAX7LAh0nFHbeAgAx95aTXo0KK4biLlbxloPwNW7T0i3SZ6Lsag6LZLrev0AsHVZGdyuQqAmZNnnb/22Vd6xYQ9ArQBQ9eQuEEIPQCsCwEOJyT7z+gaqDALAQEJ8jgAC7gK8f9MeCABpA1ET4AEUNXouLCK7jp6Rlm/M87D45bGmUrVIeIeABYvv1ABww/5T0nm8+eGEwTqmHkcAqB3ElcybVeYNbRUUb6wOAX74s5UyexMBoHelx1oPwL+ebyfVvYYAmwkAI/H8X7XruNz+vmfPM3d3M2Gz1mrMalh30dxZdQPAx1qXlSERDADfnr1V3p5tvyHA3/VtJN296kH9kFMwZ/BDgM32YtV6yB48lezzY1Kgh/FN1QvJhB61A+3G5wgggIBLgPdvGgIBIG0gagI8gKJGz4VFZO/xs9LsNc8hwD/2byI1i+WypY/RAPCD++pIexv2ANSbfN5WAeDDDaTHR+HtAfjXPyfllgnmV1ANV6NkCLDIw5+tktmbDukSGwllVG+sx79eKyfOXHAFLL2algpXlQU8b7h7AAb7na363Cw5ff6S5v2bDU+0hgDrBYB31ism437bIj//uV/2Hj+n6xdrAeDaPSfk1vc8ewAGCgAHtCorT7aPXA/Ad2Zvk7dmb/UwN/J9CtjINXZQ371ao3/z+ERvDsDv+zbyCWJDDQDzZMsk6ryhTCNy4NQ5afSy/rB8LRcCwGBaC8cgEL8CvH/Hb927l5w5AGkHURHgARQVdi76r8D+k+eksdf8V2oOKvUiasdNKwBc82xbqe31wqMXAFrZ8ySQj9Zk7HYLAJfvPCZ3frjMoyhqBWWrAkD14nl7naI+VASAKSRGQ6pwhQXuFdP7/1bJbxtDCwDVUEwVAqpNzX2o5hPLmz1zoK9KWD43ahvsIiDBzgFoZQDY4e0FsvlgkoefXgBYIm9WuUcj2PfGd0IAuHBYKymWR78HYP9WZWRo+4phaXdaJ42lAHDp8NZSKOe14dOBkPS+Z6HMs6j175JA90EAGEiIzxFAwF2A92/agxIgAKQdREWAB1BU2OP2on/sPSkLth5xBXxNyuYTrbl21LxA9UvlCcro7IVL8u7c7XIk6bz0blZaKhS8Iajz6B1kNADUmwMw2gGg3iIgwfYmChVXKwD84uEGmkFBoDkA1Yujd6+NWA0AVVgy36IhwLGyCIgVAaB3GDC8Y0V5pEWZUJtpUMdbFQB+/lADaVoun8892DUA/PO5dlLjBc9VgNUQ4Pfn75A9x88GtIy1AFD9ndZ1omdv4kABYL+WZWRYh8gFgGoFYLUQiPsWrlDfTA/AHx5tJN0meQ7FXvJ0aynsNn9ioAbj73u2/oX2kj3ztcVYAp0r9fN/TpyVpq96jkwIdCwBYCAhPkcAAQJA2oC3AAEgbSIqAgSAUWGPy4uqF1b1onTpylVX+T/pWU8qF87hM9m2WgW2UZm8QRkN+fZP+WHNP65jb8icUVaOTJAs12UI6lxaBxkNAGOtB2CwYUKosNEKAP/ce1K6eL20R+LlWM/L+yWWANBXykhgEU8BYLChfbh7AOoFgK/P2iwnzl4M+Mj434CmUq1oeOeAtfKHGK1nSaAA8NGWZeSpCAaA787ZJm9GKAA8fuaCT494vSHAqrd/oAVUAjUYfwHgrEHNg/oRUGtqkkD30bl6IZnIHICBmPgcAQT+FeD9m6agBAgAaQdREeABFBX2uLzoHR8sFbXoQ+qWO+t1MnNQc58AUK/HixE075eB0V2ryn0NSxg51NA+BICGmAzvRACYQkUAKBKOHoBPd6wofW3eA1CFRd7zoLp/gfSehwSAhh8zPjuGOwBcMLSVFM+rPwRYtUnVNiO1xVIA6D1/YiAjfwHgr080l/IFzI8CIAAMpM7nCCAQqgDv36EKOuN4AkBn1GPMlYIHUMxVWczesNY/1NWE3w1fnuNRJisDQKuHWhkNAN+/t450qFowrC+egRqC1lAsvTkAo9UDcNnOY3KX1xyAqv7v/dj8IiBq6Jj3fJJ6Q4DpAagdPOq1KSO97wK1x0CfEwBqC8VcADiqndR40XcIsNEegD8PaCLVi4Z3ESgrA0Ct+UTnD20pJfJmS6tQ77/7HmleWoZ3qhToK2HZ5xPmbpM3fo3MEGCtHoCv315dhn7/l095/tOvsdzmtYCKd+/JQAj+AsDfnmgu5YIIAPccOyvNXzc3BLhztUIy8R5WAQ5UX3yOAAIpArx/0xKUAAEg7SAqAjyAosIelxc1GgCqOeDU/IDBbN7XiEQAuHpkgtR5abbH7RIAGqs9AkDtII4hwL7tx0gI6f39d0IPwJYV8stDTUtJs3L5PVCC7QFY7blZkqSzCnDt4rnkP/2aGPvyiojWIiB/hhgAqhVyb6lZOKieW0Zv3MoAcN0/p+TmCYs8Lh0wAGxRWoZ3jFwAOPH37fL6rC0e92jk+2TU032/Y6fP+/x9qBcA/rdfY58VlK0MAGcPbiFlb8xuuhgEgKbJOAABBEwK8P5tEsyhuxMAOrRi7V4sHkB2ryHn3J9WAKi1cIOVAaDVcy1p9QDUCgDtMAdgrPYAnPpQfbnv4xU+DX/cHTVk8Ld/6n4hzPQA1Jq43/3E4Xo51rt5hgAzBDjQk/7tO2tK11pF0naLRAB46fIV16JKszcdktrFc4ua5+zM+UuuRUkyZ8xgOAAcc2tVVwB10sAcgKqAGdOnk0n31pG2lQsEYgnq83AHgPOebCkl8/npARhnAaDeHIA/9m/is4CK9/DpQBXsrwfgnCEtpEx+AsBAhnyOAAKRF+D9O/LmdrwiAaAdayUO7okHUBxUsk2KqPUPda3QxgkBoF4PwNW7j/usehiu4EkrAHy8TTl5om15nxYRrSHAS3cck7snL/O4H70AMNAqwIufbi1NXpnrcS69IcAEgClMRleqjUQg2uf/VsmvGw/pPq2M3EMs9gBUgYfR4YbuBpEIAH/beMg1N6P3pnoKqgUcOr6zUDYfTPL4+I9RbaXmi795/JkKAF+buUVOnQu8CEjqgWoRp3UvtA/L315WPoe1np2/P9lSSvkLACM8BNhsD8Cf/9wvny/bLaXzZZMRnStJjizXGa4HMz0Af+rfxGcxJu/wNNCF/T3D5g5pIaUjFAB2qlZQ3runTqDb5XMEEEDAJcD7Nw1BCRAA0g6iIsADKCrscXnRaASAVk+2brQHoF2HAOsFgFrD2Nwb6d8vd5J06dJZ3m61AsD/61Vf7p/i2wOQANAYv/f3LEP6dLJjbCfNgwkAjZkGs5dRWzsHgP5WDFa9t57+4a+wBYDK3EjoG0zdxFsA+N687a4A1n3Ts9197Iy0eH1e2q69mpSSUTdXNsx89PR5qes1JYbeEOBwB4DeQazRQngbGDmOOQCNKLEPAgikCvD+TVsgAKQNRE2AB1DU6OPuwlovxFq9tqzsARiJAHDVyASfFx47BIBak7HrLQISCwFgoCHAZnoArt1zwmfuKSMvx+H60jIEWCQcPQCf6lBR1DQA0diMBoBqvjj3wMXfvUa6B6C/Mjx7U2X5btVeAsB9p+Smdz3nAPTueeazCEiEhwCbCQAf/3qt/PTHfkNhoVZbtVMA6D0Xo9HnQFABYPVCMrEHi4AYNWY/BOJdgPfveG8BKeWnByDtICoCPICiwh6XFzUaAH75cANpbNEiII9Y/KKl1QPQTABoZc+TQI1IKwAMtgfgzrGdJH36yPQA/KxXfXlAowdgoABw0VOtpOmrnis36g0BJgBMaT1GQ6pw9cRyb8MEgIG+0SLf923kWtQgV9ZMEokhwP7ahxrWO3Xpbp8AcO2zbaXW6NCHACuNcLU7K5/DWvXgPfdctFcBnjRvh7w6c7OhUO/uD5fJ0p3HDO0bjgDw7vrFpVvtIlK3ZJ7AX4gAzzCz8wmmXjCYAPCm6oVkAgGgoTpjJwQQYAgwbYAAkDYQRQECwCjix9mltV4mtUKbWAsA1aqFzV7zDJ7s2gNQLwD865+TcsuExbotMlwB4JIdR6XH5OUe1yUAFLFyFWCV2+58ubNm3RIAhu8hbNTWTA9AdbcFcmSWbx9pJKfPX5LO4z17nrmXRi88M7MKsJUB4KszNkti8iVT4OEKAK1cBGTj/kTpNH6hR7nsFgC+P3+HvDLDMwDUm9ahx+RlsmRH8AHgkaTzUm/MbA8PvSHAPw9oovn3jpptQk0F4b3ytVbj8ddGza4onHr+XUfPSMs3rg2DNtJob65RWN69u5aRXdkHAQQQYA5A2oBLgB6ANISoCBAARoU9Li8alQDQ4snWtXoAalXm+/fWlg5VC/l8ZOWLZ6BGZKYHoJ0CwE8frCc9P1npUzwrewCu2XNCbntviS5huIIHvQuGcwgwAaC9hwCrRQ/Mhg231ioiDzcrZXkAWKt4LvlvvyaihnF+tXyPvPnbVt3viNkegPEUAM4e3MLVUzN1i/YQYK0AUO9HnXs+WiaLt0cmANSaAzDVrGCOLLJsRJtAf8357cUcyQDwlhqFZTwBYMD6YgcEEEgR4P2blkAASBuImgAPoKjRx92FtQJArd5zlvYAjOMAUGs1xmB7AKpFJNRiElZvWj0ArQwAVc+T7nWL+dx2PAWA8bwIyLAOFaRfy7JWN1tD5zPaAzCYAFDdwPSBzXx6nrnfWDA9AFUA+N0jjVxzEu47ec5vOfUCwDXPtpXaGkOAnRoAbjqQ6FoN2X2bPbi5lL3xBv0A0OK/lwI1yA8X7JCx0z17AOo90+/9aLks2n7U45RmfhAx0wPQXwCobsDIdf19z9S8sEVyXR+Ix+fzYHoAEgCaZuYABOJagPfvuK7+tMLTA5B2EBUBHkBRYY/LixIAiqzcdVy6v79Ut/6NvPAYbTxmAsA/956ULhP1hwBHMgD85MF68mAQPQC1wmQCQBEregCGaxVo97YcjjkAYyEAVCuVtjI53FC53VWvmHy9cq/pZ4m/XswqAHy4aWnp/+WagI8ZswGgGoKaZJMhwFY+hzcfTJQOb9s7AJy8YKeMmb7Jo063jeko12VI71PP9328XBZuszYAvL9RCfm/pbt9rqU3BDh1RyN/H/oLAJc83VoKRygA7FKzsLxzV+wOAVbzHr7121bXXL+1iuWSeVuOSJkbs8vgtuUly3UZAj4P2AEBBMwJ8P5tzsupexMAOrVmbV4uHkA2ryAH3Z7hALB3A2lcJl9QJQ/3ZOuhDgG28sUzEJBWADiwTTnXP+i9t6gFgNuPSo+PPOcAtDIA1FsEZPXuE9JtEkOAjfZSi0QA+MjUVTJrwyHTgZb7Ad7lcXIAGOj7r9sD8PlZukGcCgCbl8sv78zZFuj08lLXqvLF8j2iesC5b1o9ANW+ahGKeAkAf3uiuZQr4KcHoMWLUwWqrEgGgIeTkqX+mDmBbsn1ebh7AAYbAP599IzpUD6WewBevXpV2rw5X3YePeNTb2oVdbWaOhsCCFgrwPu3tZ6xejYCwFituRi/bx5AMV6BMXT7WmGDWqWv+eueC2h8aWEA2Kd5aRnRqZJlSkYDwEn31JaO1XznAIzVAHD7mI6SUaO3SKiwS8IcAOr1ACQATKk5AsBQW7D+8UZt5w5pIa3fnG/5jQQbADYrm0/Gz90e8H5UqPf5Mt9VgFePTJA6L3kuAuHkAHDLwSRp//YCD69fn2gu5f0FgBEeAmwmAFQrsM/fesSjPEZ64qUeQAAY8Ktjux202rD7TZqpf9sVjhtCwKYCvH/btGIifFsEgBEG53IpAjyAaAmREiAAjOwQYDWRf12vF/FgewBGNADsWU8e/NT8IiBmhgATAJoLAMO1CrT7sydeewDaLQBsUiafTPg9DAGgGgJ83rpVgNUiR6rncrkC2aVo7qym/hpb8fdxueMDa6Zi2HooSdq95RkAzhrUXCoUtM8cgFoB4NaXOkqmjL5DgHt+ssI1/DPYAMhMABjuIcDBzgEYbz0A7TYnrqkvMzsjEKMCvH/HaMVZfNsEgBaDcjpjAjyAjDmxV+gCWgHg/KEtXRPOu29W9gDs3ayUPNO5cug3/+8ZQu0BaOWLZ6BCmQkA/9h7Urr6mQNQb76oQPcQ6PPF24/KPd5DgAkApUTerDJ/aKtAfJqfe3/PrJgDkADQfFXEag/AhqXzyqR5OwIWWG8IsG4PQAsDwP0nz7meV4eTzku2TBnki94NpWaxXAHvOXUHK5/D2w4lSVuvAHDmoGZSsWCOtPuJ9irAZgLABz9ZIb+HEgAmJkv9sfYYAuzUAPD0+UuSfPGy5Mue2XCb97fj2j0n5Nb37DMlhiWF4iQI2FyA92+bV1CEbo8AMELQXMZTgAcQLSJSAlovxForYBIAWlMjsRoATulZV3p9usoHYdwdNWTwt3/q4mj1AFQ792tZRno2KSn/nDgnZfJnl5zXXyerdx+XbpOs6QFkRW15fzfsFgCGaxEYd7tQegAmJV+Uk2cvSrPXPKcTGNq+gvRvZe9VgOcMaeGaf8vqLZghwCpEa1Aqj3ywYGfA2xndtap8qTEH4KqRCT49j1VYqBYBUcGFmU2vDCN/XCefL9uTdip13z/2b2L41FYGgNsPJ0nCOM8egDMebyaVCsVmANjr05Uyd/NhD0szQ0AP2ygAXPRUK9O9Q1XBdx45bXpYfqTmAFTDswd8ucY1n2aPBsVl7K3VDLd7vR0DzQFspv5DvhlOgECcCPD+HScVHaCYBIC0g6gI8ACKCntcXtRoAPhV74bSqEzeoIy8r/Fw01Iy8iZ6AKZiDmxdVga3q+Bja6cegMEGgFrzSXoXtFDOLPJNn0Zy5HSyrQPA4nmyyoJh9ukBaOcAULXdhz5dKcfOXPBp1wSAvo9Rf72YVZBWr2Rumbzw74DP32gGgFp/l5gJKawNAE9LwjjPADcWAsAtL3WQzBl9V3dV36U5EQoAwz0E2IkBYIvXf5fdx86mfT+9e5sG/OJq7PDXPyfllgmLdQ81890K5vocg0A8CvD+HY+17ltmAkDaQVQEeABFhT0uL6r10vb7ky19VttzQgD43j21pZPGIiDLdx6TOz9cFpF/aB9JOi/1xnhOxq8XAAYaAqQ3X1SoDVlrCPDHD9SVhz4z3wPQSACo7rd7naJyV/1icRMApksn8vfLnTWryugw1UgEgH2nrpaZGw6a/m50f3+JrNx1QvO4WFgFePbgFj4BUqjfK3V8sD0AaxfPLVMWBw4A9YYAR6IHYKgBoJXP4e2HfQPA6QObSeXC9u4BGK4A8FBisjSwyRBg1Su8WB5z80Oq746dewB6t30rFjpb988puXnCItPPXiueU5wDgXgV4P07Xmves9wEgLSDqAjwAIoKe1xeNBoB4ENNS8mzUegBSABorIkv2nZU7v14uaGd3+xeQ4Z8pz8E2GgAqC72fd9Gcvv79h0CbGUPQCsCwHAtAuNe8cEGgP5CzFjoAWi3AFD1Avx0ya6A30m9HoArn0nw+eFB7fuqhUOA7RQA7jhy2mcI97SBTaVK4ZxphnacA1AvAAx1CDABYMCvTkg7+LQlC1aUXr/vlNz0LgFgSBXDwQiYFOD92ySYQ3cnAHRoxdq9WDyA7F5Dzrk/rZc2rRUwrewBSABo7x6AVgaAWgvK6H174ikAtGIREAJA889ho70rZw9u7jOHnPmr+R6h1wOw+vOzJDFZey6+GsVySa0wBYCvTN8kZy5cNlU0vTLYKQDU6i0WCwHg5tEdJMt1vkOAQ10ExEwAGO4hwMH2ANQKdQM13JtrFJZ3764VaLeQPw9HALhh/ynpPJ4AMOTK4QQImBDg/dsEloN3JQB0cOXauWg8gOxcO/a7tyXbj8qBU8nSvmpByZ45o6kb1Hpp05oA38oAsFeTUjLq5sjPARhrPQDX7Dkht/lZBVCvt4ipBqCxMwFgCor3d8NuPQDDtQq0e5OI3x6AsRsAfrV8j2w8kOjxzdbrAfjy9E1y1iYB4LKdx+Qui6Zi0AoAf3msqVQtYu8egHoBYM9PVsi8EFYBPngqWRq+bI9VgOMiAGxRWoZ3rGTqr2K1cvXyv4+LGu6vhqpv3J8oncYv1D0HcwCa4mVnBAwJ8P5tiMnxOxEAOr6K7VlAHkD2rBc73tWURX/Li79sdN1aqXzZ5Ncnmst1GdIbvlWjAeDXfRpKw9LWLAJitwDQyhfPQPCHk5Kl/hjPFzG9OQBjIQB8o3sNedLPEGAzPQC/69tIujME2Cd41GtTBICBvm2+n9MD8JqJGgJMAHjN45EgQhvzLfDaEZMX7JQx0zd5nEIvAHxgygpRK826b2YCoHgNACO1CnCow8k3HUiUrhMXy/lLV+S6DOlE/Xsra6aM0vEdAsBQvmMci4BZAd6/zYo5c38CQGfWq+1LxQPI9lVkmxv0/oenmpOtW52ihu9P64VYa/4rKwPAB5uUlOdurmL4HgPt6G8FTfdjJ/aoLZ2rF/I5XawGgHovi4G8An2+cNsRue/jFYF2c31OAGiIySfUs2IOQAJAY/buexkNAH97orm0fWuB+QsEOEKFNhcvX5Evlu2WpORLcm/DEpI7WyaxbAhwlyry5Yq9ogIF923FM218fnhwcgCoNVw0lnsA3j9lhSyIUAAY7iHAal7Y4nnNLwKitbBLoC9o1IYAmwyT7/lomSzefiytOBUL3iBv31VTOrxNABiojvkcASsFeP+2UjN2z0UAGLt1F9N3zgMopqsvojfv/UJ7W+0iMu6OmobvgQBQxKoAUL10bz2UJE3K5pN82TNr1oFWD8DHWpeVIe0q+Oy/evcJ6TZpiW5dxkIAOO/JltLyjXmG2iM9AFOYjIZU4VoF2r2y4nUIcDgDQNVj9vvV/7iYS+fPJnMGt5AaL/zqdw7A2sVzySeLDSwC0qWKfLVir88Q4FgIAJfuOCZ3T7ZmNXatAPB/A5pKtaKxOQQ41ADwwKlz0ujluYaewwSAhpg8dvJ+ZvdtUUae7ljR8Im0nvlqNEc7Pz9CmOkBavhG2BGBOBfg/TvOG8C/xScApB1ERYAHUFTYY/Ki3v9w7FytkEy8p7bhsmgHgL7zXzmhB6DeHIBWvHj+vvmw9P6/VXLpylVX+DdzUDPNEDDcAeDe42clU8b0UiBHFsNtwHtHMz0AX7+9ugz9/i/da5kJAL99pJHc8QGrABMABt10Ax5o1DbQy3fAC+nsoF7ave/hi4cbyKOfr/YbANYpnlumLP474GVHmwwAx07bJOcu2mMRECuew6lAWgGgCraqF82VZhjqsM2AlRFgBzNDgO/7eLks3HbU44xmAiA7BYBqWogSebOZ5oulHoBWBICBfoQwU/+msTkAgTgV4P07Tiveq9gEgLSDqAjwAIoKe0xe1Pslpk3FG+XjnvUMl0XrhVjrH55OCAD1hgBb8eJZe/RvcvzMhTT3Ps1Ly4hOvpOAH05MlvpjPecAtKoH4MszNskH83dKhvTp5IVbqriGFwazEQCmqNl9EZBwLQLj3mbitQdgJAPAV7tVk7HTN8upcxc1v65qFeCQA8ARbXyeO2oIsFMDQK2wKBYCwE0vdpDrM/muAkwAKBJLAeCjLcvIUx1C6wGoNRWL+wPCLgHg1KW7ZPzc7a4fPMfdUUMqFcoRzD87OAYBWwjw/m2Laoj6TRAARr0K4vMGeADFZ70HU2rvkKJlhfzy6YP1DZ8qGgFgz8Yl5flb7DMHoNkAMPniZdeE7DfekFlqFc+tGRYVzJFFlo1o41MP5gLA49Jtkn6POPchwFo9C/9+uZOkU5PNmdzUXFNqyJmRLVAPwN+fbCmtDA4BpgegdvCoVw+RCABVz7QZ6w/qNgW9l1B/Pe2Gtq8g/VuVNdK8LN/HaA/AWYOaS/u3wzMHoPc9qABwzLRN+j0Ai+aUOiXyhNYDMAYCwCU7jkqPyctNtzWtA7TCop/6NxEVpqZuduwB6B0AHjt9Xt74dYtrWLf3ZiYAMtMDUDl1mbg4pHrw9z1TvcJL5gumB2AFHys9AAAgAElEQVSSJIwz952M1hyAWgGgmvtT9ba9IXNGn7+XjS7GZrcAUP27o8HYOXL1asqdNSuXT6Y+1MDy5zYnRCBSArx/R0ra3tchALR3/Tj27ngAObZqLS+Y9z8cW1XIL5+EGABq9X6xsgdgtALACT1qyU3VC/vUgZkA8MqVq66Xo3X7TrnOo4bc3deopE9vsUgHgDPXH5S+n6/2KFuwi0SYCQBfu726DPMzBNhMAPhNn4Zy54fWzAFmxRfN7j0AwzUHpLsdAaAVLenaObSGABsJAOuWzCMfLwphCLBWANilimsV2uSLV0wV0kzoayakCncA+GP/JlIzxgJArdV/UyvLjO3+k+ek8SvG5gDMmy2THHPrzR5M8BjvAWC/lmVkmFsPQDUk/aFPV8quY2clodKNMqFHbcly3bWenlpec4e0kNZvzg8piDX1xQ5i53G/bnH1/rNbMBlEUTgEAZcA7980BCVAAEg7iIoAD6CosMfkRcPRA1ArAFThTIPSeYMy8r5HuwWAZl48f91wUPpM9QzatF7qC+TILMtHJPh4WdkD0L23CAFgUE3T70EEgOKam87qHoBPtisvA1qXs77CDJzRrj0A/Q4BLppTQg0Al49o4+qp476pHy+cGwD69hZzDwCvXr0qpYZP9/B4xOTKrQaam99dtOYA3Phie8maKWPacf7aa7gCwEDlMnJdf/etfhQq5fAegN4B4BPf/CH/Xbsvjdb7x0gtr0A/nhmph0B1Gernr8zYLO/P30EAGCokx9tGgPdv21RFVG+EADCq/PF7cR5A8Vv3ZksejgBQa/ibE3oA6s0BaCYAfP7nDfLpEs/VOMMVAK7adVxuf19/CLBnAHhA+n6+xqP5BNsDUA1vVj1PjGyBegAG6sXgfg16AKZoGA2pYrUHYCwEgGoRnw5vLzTyFTC1j14PwEABYL2SeeQjAz0AX+xSRb5ZuVc27E/0uC/NALBrVRkzbaNlPQBLDZ+WNhQw9eJmQool249Kj4+sGgLsGwD+t1/jtCkbCABNNVvTAU+8B4D9W5WRoe2vzQHo7eE9QkDLSy2W0uL1eboVZea7FXxt+z+SADBcspw3WgK8f0dL3l7XJQC0V33Ezd3wAIqbqg65oN7/cGxRPr981iu0OQC1Xn6tDAAfaFRCXuhSNeSyp56g2vOzJCn5UsDz6Q0BNhMAPvfTevls6W6fFyLvelDzA654xrcH4KHElDlz3De9RUACBYDuvUVmro9SANitugz7QX8VYDMBoJquMHUuIa3KjPQLj3edFstzvSwc1jpgO9Pawftcqqx/v9xZ81wEgEERGzrIqG0sB4Bfr9grGw8YCAC7VJGXpm2S85esGQKsFwCeOntR3vxti5w8e1H6tSojFQtqLxIQ7gDwP/0aS+1/52yNtwBw38lz0sTgEOBAXyQjz+FwBIDbDiVJ27fsNwegVlsKFAB6jxDQ8lowtJU0f/13WweAqQuPud+kkfYRqI3xOQLREuD9O1ry9rouAaC96iNu7oYHUNxUdcgFjVQA+FXvhtKojDVDgG0XAJroeTLqp/XyfwYCwPw3ZJaVBgPAAa3KypPtK/i0BXMBoHVzAJrqAWhhABjoyxDpFwsCwPgdAjzj8WbS8Z3I9AB8rVt111Bc3VWAi+aU+qXyyOSFgecAVD0AtQLAZcPbSMOXfYcAWxkAlh4+Ta78uxhA6ndZfWcfmbpKZm045PqjXFmvkxUjEiRTxvQ+X3crA0CtsMg9AFRzuZYeYb8hwBteaC/ZMls/BNhOAaD6Uah0/uyBHvc+n9s1ANRqS1YEgAuHtZJmr9k8AJy+ST5YsNPnB1HTlcsBCNhEgPdvm1RElG+DADDKFRCvl+cBFK81b77c4QgAtV5+rQwALZ8D8LlZknQ+hB6AJgLAZ39cL1OXBe4BSACY0pbnDGkhbfxMZG6mxUc7ACyeJ6ssGNbKzC2n7avVw8PMYgpaF61bIrf0aFBcbqtdNKh7MnJQvy9Wy/R11q4CPKRteXmsjb3nALRbAKjmX/3Q60Vbq/70hgDrBYCjp22SCxb1ACwzYrpc9koAtYY8v3NXTelSs4jP7S/eflTusWgIsFZY9MOjjaVOiZRV2wkAjXz7tfcx8hz21wMwkgFg28oFRLU393kVgy+59pGqzau2774FCgC9RwhoeREAWl1TnA+BwAK8fwc2ioc9CADjoZZtWEYeQDasFJveEgGgSLUIBoDP/HedfLF8j0dr0HrJtSIAXLnruHT3Mwege28RK4cAz9tyWHp+stJQi1crmD71wzrdfZ0UAFo5BFiBhRoApqL/8lhTqVokp6H6MrtTvAaA0wc2k07j7dEDsHrRnNLQQQHgqJsqS6+mpaIQADaSOiXy/D975x1fRbHF8R+9g/SOJPRAaAkESEiogQQQ6QKidBEQlab0XgRFRDqiKAgCis9C70VBeugdpffeIfA+cy8Ju3tn787u3d27d+/sP+/Jnd2dPWdmsvPd3znHZwAgLbRUaDQWEJfQ/tzNB4j4TF5NpmZdYLmvOwBI/iYUMkkBSJ4rWdIk+LRucXSKDFTzmMxtaQBQWgREKUUIB4DM5uYNuQUMtQDffxtqXp+5OAeAPuMqe3WUL0D28qeRTyN9cYwsmh0/eJgDkLb5nd8pDFUKZdP0KFavAqxGedL/1/2YzwAAs6VPhZ0DXXMAXrr9yCUUTy4EmANA8XBj2XhqGqAyJ1k9BDih2yQ8dNF7lfV89MRrcQCor1lPj4l1qT5LQoBHLz/syJFHOwgArByY1SXUjtZWTgG4tV8NVB6zTnQKqQLsDQWgGQDw2OW7iJbki/vl/VcAkAZtjKwCfP/xM3y+6qijOMsbZfKgdVgBfLP5tCP0W3gcGFYH6V+GANNUiv4MAGk+VTM744ZEI1OaFGpOYWpLG0tdogrh0xj5IiDSD4QcADKZmjfiFjDcAnz/bbiJfeIGHAD6hJvs10m+ANnPp0Y9kREAcGmPCNSbtEXUZTsAwK9blkODMnlcXKEGAPZbsh8LtisrALOlT4mdA2u73EtPACjcLK44oF8OQK4AdLpNOresFgKcMLjyZU6DLZ9oK06itC5xAKhkIXW/nxod65J7zi4AsHD/ZXjGEAIsBwC3HL+Gt2frUwWYBot+7lIZoQWdCkCzAeCU9ScwfuXRxMFC+rLnzC23AJDWRzsAwDU9o1A4h/ocgJ4CwJltQhBdMpe6CcvQ+ln8cxQesFzU0l8A4Ohlh11SE5j9oY7BRbwJtwCzBfj+m9lUtm7IAaCt3Wvdh+MLkHV9Y7WeGRECTAWAHcNQpbBvKwD1AYD7sGD7WdEwoIUAZ02XErsGsQFAab6ghItvP30DzWdslR1yYgCoXxVgNQBwbONgfLpEPgSYbPZqTdioy7Qxe2NhpAKQGESvEGAOANmHF2sVYNoayH4X+ZZGA8Bhb5TEop1nHUoz4WGGAtDqAHBxl8qo4CUAKB130UE5HX1xpwCkgSWtAPDsjQduC0qoGdss67C7eeYPAPC9yED0iy2RaFapPaQRAr5aBXjU0kMuxYlYxoea8cbbcguYaQG+/zbT2ta9FweA1vWNrXvGFyBbu1fXhzNCAUhyitX/WqIA5ADQ4bdPft6HhTvtDQDXH72Cdow5ADkAZJvORhQBSbgzB4BsPiCtvA0AT46OdSkYwKQALJQVMzaKq23SnloOAP79aQ1UGWtsCHCRAcvwNF5cBpj2ccQMBeDRS3dRZ+ImkYlImDwJlycHDa4ZGQIsHXclcmdE43J5XQDg/qHRyJDaGab6NP45ikiUZfYAgJEonCMD+6R92ZLmUzUXmfVOKEhREL0P6lhSBIDiCAEOAPX2Cr8et4A2C/D9tza72e0sDgDt5lEfeR6+APmIoyzQTQ4AgeChK3H3kXIVYDkFoJrQs74/x2HRznMiz6tRAF68/dAlF5dWBaBws0grAnJsZAxSJk+qepRyAOg0GVcAAt1+3I2l+y/KjiEtKsaetYuih8WrANM+gqieSJQTToyKcQkXZAGAJP/q9I0nFbtAAODiXWdx4LxYAWglADiofhA6UIqAqFmHlQxBg0ULO1cCqaZsBQBYKm9GNCzjHgCS6sxFB4pDSzkAFENdpXEg/P2bd0JRyyIAUBoh4KsAcOSfh/DNltMu70Nq/MLbcgtYyQJ8/20lb3ivLxwAes/2fn1nvgD5tftVPbxZAPDHjmEIt2kIsJqNZ5/FcVi8SxkAZkmXErspIcBqAOA/p66jxcxtsuPBCgBwTONgkLyIcseanpGoNUH7pk3rhlfVJJJpzHMAGgMAe9Uuig/8FAAeHxXjouryFgAkBUNGLj0MAprUHHLQt+iA5XgSL74W7eOIHADcfPwq2szerho2006gAcCfOldyVFP2FQD4+Fk8ig1coYs9rBUC7B0FoFEAkKbUVAoBTgCAD5/EY/Xhy+ixYI+Lnzf1qY7I8fKVm60QassBoJqVk7f1BQvw/bcveMn4PnIAaLyN+R0oFuALEB8WrBYwAgD+0T0CDSaLQ4D1BIDtwgtiSIOSrI+o2I5VATipZTlHBUbpoQYA9l4ch58ZAGDmtCmwZ3C0y718AgAeuYJ2c3Yo2p004ACQyUzU0FMt6jna3YwMATZCAcgBoFjVpQQAg/NmQkSRbJi2QVkBOLRBEH7efc5FAfjXpzUQLgkB1h0ADlzuAhO9BQCPXLqDuhM3i6bLgk6VULmQEwBSoU1UIPrFvMrbxjaz2VpJ/07LKQD3DY1GxpchwI+exqP4IHkA2Du6KKKK5kBwvkyKnbASAFz9cSSK5DQ/BHj2u6GoWUL/EGAtAJB8INwxoBbqTdqMI5fuUv3HAaDisOYNuAV0twDff+tuUp+8IAeAPuk23+80X4B834dmPYF0Y1G1SDbM7RDGfHta6AkNAM7rEObYhGo5pPewGgBUozzptSgOv+xWVgCqAYBdqxVC37rFXUyrpAAUbhZ1DQHmANDhC19RAObPkgab+xpTBZgDQC0rnvw5JCxfGtY5rmlpkGqatx48pZ6oFgAShbK0CAgHgICwkr0dACAZLCmSJcHv3SNAcgq6O+wAAGlQV83s/LZtKGoUtw4AHN0oGF3m7ZJ9hI19qiFq/AbZ362gABzx5yHM5iHAaoYhb2txC/D9t8UdZFL3OAA0ydD8NmIL8AWIjwhWC3AAyJ4DUE4BqAYA9ly0F0t2nxe5h6ZykQOAF249dEnGLwcAt526jrfchAArAcCjI+siVfJkrEMpsd16FQCQbGL6/yofAkzUHrW/tEcI8OtZ02Jjn+qq7UmDieTf9FIAcgDI7hLWIiBG5QAkc1Ia1skCAMmHnamMCkBfBYCbjl3FO9/qEwJMg0VCFbsvAEASHlpisLwCMGHUVymUFfM7VfIZALjq40gU1aAA9CUA2DkyEP3dVAEm7weNyuXDt3+J8+cJncgBIPu6zltyC+hlAb7/1suSvn0dDgB9238+23u+APms60zvOAeAQPCQlbj7WLkIiB4A8OOFe/HrHmUA+FraFNhLCQGmAUC5IiBKADBuSDQypXFWjKQpADkA9Gw6SucWB4Cu9tQCMX0hBJimgvZsNDnPlgOAY5Ydxk03CkA1AJAWArzlk+qI+EycT4wUDBm1TL8cgMUGLsdjST5BNSHAegLAwxfvIOYrcQiwUMVOK7BhZhXgknky4s2yrkVAhGv6gyfPEDR4JdOwU1KDnbn+wG0+OaabvGykdC+5Dx4J9/AWAPyubQVUL55DzaMytaWNJSUASN4PmpTP56KesyMA/G3veQz49QCSABjbpDTqlc7NZFfeiFvAGxbg+29vWN169+QA0Ho+8Yse8QXIL9ysy0MaAQB/7x6ONyb/Jerf3A4VUbVIdk19lvaxfXgABjcI0nQt2klmAsCPftqD/+29IOoGbZNLwBzZzEkPPRWARgHAdUcuo/2cnUz+4QpAJjMZmgPQUAXg/N1Yuk/fKsD+DACPjKjrkteNKAA5AASMBoDCv2G+AADvP36GkkPsBwBXfhSJYrnU5wD0VAH4XbsKqF7MGgCQvB80DfF9AKhUBORZ/HNUGLUm8eNGtvSp8E//mkiWlOBAfnALWM8CfP9tPZ94o0ccAHrD6vye4AsQHwSsFuAAkD0E+Ku3yqJh2bwuplWz8fzwpz34zSQAuPXkdbScJV8FWAgAl++/iPd/3C16Nq0KQDUAcFSjUo6v+3IHDwF2WoYWeqpFPUezs6EA8MfdWLpfXwBIihd0r1GEdYnTtR1rCDDtI4geHbESANS7CEjxQcvx6Kn2KsAbj13FuzqFANMUgD+0r4jIos6PWJYFgIOjkSmtU9V97/EzlOIAMHHa0XyqZk5aDQA2C8mHbyT584TP4wshwCR36cxNp0RuOD0mFkmSOAHfgfO3Uf9rcUG5db2iEJg9vRrX8bbcAqZZgO+/TTO1pW/EAaCl3WPfzvEFyL6+1fvJzAKAws2T2mcwXAE4dCXuPlIOAdYDAPZYsAe/xykrADOmTo59Q+u4mOr8rYcu1TjlcgAqAkDBZpEGAAlsSJ1CfQ5APQEgCfeK5jkAOQAUzAQOAMV53cxQAG7uWx1VxxkbAlxi0Ao8fBovWvPUhADrCQAPXbiD2EniEODv21dE1EsA+PhZvEsuRrNDgBuVy4uRSw+L7BUnWNPvPnqK4KGrmP7cKoXl/nf9vtuCEkw3edlI6V6kmTvQvuKjqiiey33RElp/PAWAc9pVQDWLKADJ+0Hz0PxuAeCG3tVQ7XNrFwEhyuUZEgB4cnRsosKPA0A1M4u3tYIF+P7bCl7wfh84APS+D/yyB3wB8ku3a3poqwPAFy9eIKDfMtGzeSsEWA8A+MGCPfjDggCQlgOQA0BNUyrxJJ4DEOhmQAiwLwDA37qFo+EUcRoEz0aT8+zDw+u6FHYgAHDs8iO4cf8J9Ral8mZEZJHsTEVAhjQIclQpP3D+juhaVgKAA+uVQMeqgS7PajQAFAIgKwBAag5AAQC88+gpSnMAmDhOPAWAQgCsx1xOuAZtLCnlACQAsEWF/Ji1Wb4IiE8AwOWHMWOjWAF4fFQMUiRL6jDPwQu3UW8SVwDqOd74tYy1AN9/G2tfX7k6B4C+4imb9ZMvQDZzqIGPYwQApG1+tSoAaQCwQ0QABtU3PwegHABUs/HsPn83/pTkRKOpXDKkTo79PqoAXHv4Mjp8z5YDcOSbpTDwf/IhwFwB6Jz8PhsCzAGgrqv3oeF1XAo7KCkACQAk+VenMVQB9iYADBq8Ag+eKCsA5QDghqNX0Pa7HbL2ZlGeJZxMUwAKQ0CtCgD3Dq6N19KmdDzG7YdPUWaY/RSAyz+sihK5zVcAWgkAkveDt2wAAMmHi+kbT4rmLAeAuv7J4Bcz2QJ8/22ywS16Ow4ALeoYu3eLL0B297B+z2cWANT68vz8+QsE9hcrAHUHgB6GAHsbAL5frRA+qVvcZVD8ffIaWs36R3awCDeLeoYA6wkAScL3OhM36TLg1QAAPW4onVsFs6bFhj7VNV2aA8BXZvNnBeDBYXVcCjuMb1oaJJeWXBVgtQBwye7z2H/+tmicmqEAtBIApCmPrAYAaSHAIgD44CnKDNcHAP577b7bcFI1ixrLOuwuBFgrAKRBXTX91voRU+keWhWAb1Us4JI/T3gvuyoA1/aKQiGeA1BpWPHfvWQBvv/2kuEtdlsOAC3mEH/pDl+A/MXTnj+n9EU7onA2zOsYxnxh2os6TQGoJwCsF5wb45uVRtqUyZn76a5hsBUBYKrk2D+MLQcgB4Bsw4Bl48l2JbZWHAD6bwjw/7qF400DQoDlAOAYhRBgrgAE1Mx/JQD46Gm8SzVmM3MABuXOCAIARy0T5wAUAsBbD56g7PDVTIuVkm04AASMAoC0sdSpagAG1HsV5SD9W0JCgJUA4Pre1VDd5ByAJP/v0Uv30LBsHuR5LY3i2BtDCQE+NjIGKZM7Q4Bp0JYDQEWz8gZetADff3vR+Ba6NQeAFnKGP3WFL0D+5G3PntUsAKg1gXb88xcoJFEAkifOkSEVvm1bAaXyZvLMAPC8CrCa0DPWHIDpUyXHAQoAPHfzASI+Eyfj1woA9wyqjczpnOFieioA1xy6jI4/sIUAj3izFAa5CQHmCkDn8OYKwFfTvE+dYuhWvbDH817LBVirABsFAMmaIK3sShSAHAAC649eQTudQoCpALBtBVQvnsMxbKwKAIVr+s37T1BuhP0A4LIeVRGUR30IsFUVgFoBYMuKBVwKaAjXNLMB4Nxt/yX+LU+XMhm2fFIj8f1Cbq2lhQArAcA1PaNQOAevAqzl7xc/x3gL8P238Tb2hTtwAOgLXrJhH/kCZEOnGvRIRgBA2uZXbwBIzBFeOCt+7FjJY8t4qgBUAwBZcwDqAgBPXEOrb+RDgH0BAJKKj3UniqtxanW4kspF63XlzuMKQGMUgL4AAH/tWgWNpv6t95DC/qHRLpVd9QSAg+sH4dc9riHAm/pUR+R4Y6sAexoCrCcApFUf/c5iALBxedcqwMI1fcWBS+gybxfTGFRaG09fu+9WTcZ0k5eNlO4l98Ej4R7eAoBzO1R05NLU+6ABQKUiIJnSpHDkAJRW0PUmAJT+vZvQvAwal8/n1lw0AFg5MKvj3e79aoVx7PJdxHwl/vvPAaDeI5BfT08L8P23ntb03WtxAOi7vvPpnvMFyKfdZ2rnrQ4An8U/R+EBy2VtwrKZUDIoB4BeVAA2LIlBvx2UdREHgE7T+KoCkAa8hc6Wm7/ulHYcAIrzunkTAJLcg4+fPVdaYkW/y/mcA0B5M7IqT4UA8Ou1x/HF6mNMvlH6O2olALi0RwRK5lGv/KepOpmM87LRvA5hiCiSTc0pTG21KABfS5vCUQVYWkHXSgCwaUg+fN6sjGoAmHACKW4UnDcTB4BMo4g3sooF+P7bKp7wbj84APSu/f327nwB8lvXq35w6cZCraqOtjGhKQCFCdTVdNIUADhkJe4+fqbYrYktyuLNcnld2qlRALKGAJMQmoPD67rcS1UIsIICcPeg2sjiJgT48PC6SJMymaJdpA1UhQBzAMhkXyMBYIEsabGpr7biJEqd91cAuKRrFTQ2QAG4b2g0Sg9VBwBL5smIyKJsVYB9WgF45ArazdGnCjBNAfht21DUKJ7TMeS9HQIsN++Ea/qU9ScwfuVRpSnq+J0DQGUzcQDo3kbSv1G1SuTEN++GagaA5ERS8MVVARiJwjkyKDuMt+AW8IIF+P7bC0a34C05ALSgU/yhS3wB8gcv6/OMVgeAT+Ofo4jRCkAPAaCa0DNWAJg2ZTIcogDAszceoOo4thyAf524htZuQoCNAoCrD11GJ9YcgAoAkLYB0DrylTa5Wq8rd550bgVkSweSl0nLwQHgK6v5ggLQKAAYNyQaZYZZAwAObRCE0cuP4IlVFIAcAEK4ps/YeNKRG5LlUFobT129hxpfbGS5lGIbpXuRC7hTPP75QYSm3L+eKgB/7BiG8MLWUABmTpsCzRUUgOt6Rbn1GYsfFJ0paCD1We2gnJj1jv4AcPXHkSiSkwNANb7hbc2zAN9/m2drK9+JA0Are8fGfeMLkI2dq/OjGQEAafmvhPmTpI/w3/X7mLnpFDKkToFu1Qs5/jfhMAUAelgFmANAsUfVAMDhDUtisJsQYA4AnbblANC3AOAv71dBk2n65wCMGxyNMsPFAJCE2Y1ZdhjX7z+h/nXQQwG4sU81RI3fILq+PwPAh0/iUWLwCpE9zKwCLPcaIASA32w+hZFLxVWC5c5TgkF2AIA0Vaea16n5HcNQhQNAWZNxAKhmNPG2drUA33/b1bPqnosDQHX24q11sgBfgHQypB9cxtsAkIT4Ro5bjwu3HzmsLf1qTNQlRQdaIwegXAiwtwFgl6hC+DSmuMtoVVIA7hpYC1nTp3KcR6sCrDUEmANAOrTjCkDXBdWuOQDNBIAkByBJpu/vAHDdkctoP0e++rgS5BKOThosmv1uKGqWcIYAWxUACtf0H7b+6/bjivB5lWzDASBgNQDYokIBTN94UvYt1Q4KQFoOYK4A9IONiQ8/It9/+7DzdOw6B4A6GpNfit0CfAFit5W/t/Q2AFxx4CK6zNstcoNwM2IKAPQ0BFhF6BlrCHCaFMlweIRrDkBaCLAcANxy/Breni1fBVgJAB4aXgdpUyZXPUU4AOQAMGHQ+GsOQKMA4N7BtVF2+GrRnNQTAA6qH4Tf9p7HvnO3RfeQUwCSEFOrFAHREwDuP3cbDSZvEdnA1wDgP6euo8XMbUzrNweAymaa3ykMVQrpHwJMg8mdqgZgQL2gxE5J39NI7t7mofltDwBXfhSJOhM3iZzDAaDyWOUtvGcBvv/2nu2tdGcOAK3kDT/qC1+A/MjZHj6q9MWySqGsmN+pEvNVaaGJtBBgYQJ14cVpicqFm5HHz+JRbKA41Ep4vtLGheVBgi0IAFOnSIojI2Jcuq8nANw5sBayuVEAagWAqw5eQue5u1hMj2FvlMSQ3+WrAC/rURWxkzYzXUupkR5jRekewt95DkCABrxZ5q+vVwH+5f3KaDJtq5rhwtSWVHktN0IMAFlCgKsWye4WFiTcXA4AbuhdDdU+t3YIsJkA8MGTZwgavFLkMyuEAAs/6mw/fQPNZ7CNQaW18eTVe6jp4zkAPQ0BXtCpEioXyso0T9U00goASRXgaRvsrQCkAcBVH0eiKM8BqGaI8bYmWoDvv000toVvxQGghZ1j567xBcjO3tX32YwAgLQE+HIA8Ks1x/HlmmOihzIdADLmAJQNATZAAcgBoHNIcADotIOv5gDkAFDf9ZoGAFkUgBwAKle6FXpKSQFoVQAo/KijpwLQSgDwj+4RCM6XSfXEshMAzEoUgAoAcG2vKLfQVgn6qjWwETkAaSHABAoWy8WLgKj1D29vjgX4/tscO1v9LhwAWt1DNu0fX4Bs6lgDHsssACgMnxI+xqS1xzFhtTwAfPQ0HsUHGawANDwQQ8QAACAASURBVBEA9liwB7/HXXABnlI/pEqeFEdHeqYA3Hz8KtrM3i47aoSbxWX7L6Lrj+JQbK4A9GzCcQWg/yoAf+5SGU2ns6mv1IwyUuShvEQBqAQAg3JnRGRRYxSAVgoBXnv4Mjp8r08OwH3nbuGNyX+JXPPNO6GoFeTMAegLAHDbqet4S6cQYA4AgZ86V0KlQHMUgB0jAjCwvnwIcLb0KdEs1L0C0A4AkFYEjPxbidwZ1SybvC23gGkW4Ptv00xt6RtxAGhp99i3c3wBsq9v9X4yDgAB1hDgL1uUQaNy+VxcoCb0jDUHoBkAcMeAWsiewVkEhAYADw6rg3Sp1OcAXHnwEt5jDAEmlUSH/nFIdlgv7RGBepPEubi0zgG9FQ9K/ZDOrcBs6bCudzWl06i/cwXgK7P0rVsMXasV1mRHT09yF5osvLZRAJCEeIaMXCN6DKUQYD0A4Pre1VCdEgJsNAA8PSYWAf2WiZ53YL0S6Fg10MWVZgLA+4+foeQQ64UACz/qbD15HS1n6ZMD8MSVe6g1YaOn08dxPss67G6e/d49HKXzvaa6L54qABd2roQwAwAgDSazAMCmIe5zANoBANIiAMg7Qck86hWgqgcMP4FbQIMF+P5bg9FseAoHgDZ0qi88El+AfMFL1uij9EW7cmBWLOjsWQ5AWgiwpRWAjDkArQAAz1x/gMjx60WDR64IiJICUAgAaVWA7QYACUxIkiSJaRPPVwDg61nTYmOf6obYxYgQYF8AgIu7VEYzAxSABPCEGggACVwjCmVpERAOAAGhAtCqAFC4pv998hpazZIvAiWc8EpQjgNAYNF7lVExIIvu6yQNACoVASEKQH8AgLQPgBwA6j4E+QV1tADff+toTB++FAeAPuw8X+46X4B82Xvm9t0IAEirgCncPAmf0JdCgPUAgJ6GANMAoFzyeTUA0B8UgBwA0tcWDgDZ11xWBaA/AMAhDYJAFICkUruaQw42BQ1egQdP4kWXUqMAXHPoMjr+oE8IcNzZW2g4RRwCPOudUNR+GQLsCwDwrxPX0Pob+wHA37qFo0x+9QpAWl5HNePWTADIogBsEpIPMzaekn0EOygA//wgAvW/FkcAcACoZtTytmZbgO+/zba4Ne/HAaA1/WL7XvEFyPYu1u0BvQ0Av157HF+4yQFIq5CnRrnAYqhgxhyAcgBQTeiZmQBw07GreOdb+RyA2wfURI4MqR0m8hYAJBBhmJsQYNoGgMWntDZeB4DZ02FdL+uFABsJAGnjnWX+ugNt/qwAJAqvCqNcQ4DHLj+Ma/eeUKeGmhBgOQXgul5RqCGpAmsGADw1OhaB/dlCgM0EgPceP0MpC4YACxWAW45fw9uz9QKAd1FrwiatS6/oPCW1IWnsbv5zAAhkS58KTcrnxYxN8gBwTc8ot2HbLH5Q43AjioCQgi8NJnMAqMYPvK13LcD33961v1XuzgGgVTzhZ/3gC5CfOdyDxzULAArVE8LucgDozInEWgREjQLQUwB4YFgdpNeQA3DFgUvoMm8X06g0EwASmJA0qRdDgDkAdBkTcptQXweARC3UfIb+RUAItK84aq3IjiQHoLcA4NjlR/DYQAUgB4BOV7MqT4UfdZQU4CwgPqHNiSvWAYD/6xaOsl5QABJVb4WC+ocA09SkTArA8vlsDwBJvkdpMR7yUbBUXp4DkOkFizcy3QJ8/226yS15Qw4ALekW+3eKL0D297FeT2h1AEjLj6Nm48JiJ1YF4ITmZdC4vGsREDMVgP9dv4+o8RtEjyUXAqwIAPvXRI6M8gpADgBZRo98G54DEPBXBaCVACCpmBlZNJvbcMGEUUwUgH/EXUDcuduigS2nADQaAJ4cHYtCjArA1Ycuo5NOIcB7z97Cm5IQ4JltQhBdMpfDLlZVAAoBoNL6r+bvKAeAgNUAIHkXmWlzBSBRe0pD8TkA9Oy9hJ9trAX4/ttY+/rK1TkA9BVP2ayffAGymUMNfBwppKgUmAU/da7MfEeaMuGX9yujyTSx+kWrApADQLEr1ADAjceu4l13IcAWAICD6wdh+J/yVYD1DAEmMCGZNxWAFq0CzEOAmZc7ZiUWqRjaYiZbBVb2uwPb+9dExdHqFIB6AEBaPjGi3vVXAHj30VMED13F9CFGjX/l2mpRACqt/2oA4PHLd1H7S2uEAP/atQrKFcis2qz7zt1yUZOpuQip7B1qGQVgKjQqlwezNp+WfQQ7hAATtacUxHMAqGbU8rZmW4Dvv822uDXvxwGgNf1i+17xBcj2LtbtAc0CgEL1hLDzSiHAtPAYNRsXFkMFM1YBllMAqsk95WkOQCoAjAxEv9gSLo+qtAEkMMHbCkC/AoA8BNhljNo1BNgoAPhP/5oIkwDAL5qVwRg3OQB9GQCeGBWDwgOWi8YNUSl2rBroMpbMVABaFgAK1vQNR6+g7Xc7WP4EOtJQuDvMAoDP4p9j95lbbsPnvQUAyYfNkNfNCQHuEBGAQfWDEl0ifU8jVYAblcvr8wDwsxVHMG3DSdmhxwEg0/TljSxkAb7/tpAzvNgVDgC9aHx/vjVfgPzZ++qe3dsAcPK64/h81TFRp4WbEbsBwA9/2oPf9l5weV7WHIB6AkACE3K6CQHePzQaGVKnUDegAKw4cBFd5u1mOo8DQCYzUZVnWuAZ7W6+pgD8pG5xvF+tEJvhdG7FqsT6qXMlvGWAApAGAJVyABbPlQFRRbO7zReWYCa5EGAzFIAlB6/AfUkVYDUAcNXBS+g8Vz73qBLkEg6VPWduotHUv0WjZ0abENR5GQLsCwBw/dEraOdDAPD58xeOObP93xtuZ63dACAtnFwfABjptnCLmvnAsowaUQSEA0AWy/M2VrIA339byRve6wsHgN6zvV/fmS9Afu1+VQ9vFgAUbp6EHaQBQGG1VtrLsfB8PV5iPc0BaKYC8N9r91Htc0kOQBkFoJICxAoAkKgcRpgUAkxgQvJkSVXND08au+QANEEB+OLFCwT0E1dNVXoGDgCVLPTqd28DwG39aqLSGHUhwOxPB8gBQFo4IYH3RMFjZBEQqwLAO4+eorQVQ4AFCsD1R66g3RzfUQCy9ndJ1yooryEEOO7sLZd8cmrmxi/vV0HI6+pDj5XuQXvHYSkCoqwA9C4AjA7KiZnvhLp9fJJCYPpGeQUggb1SEM9DgJVGFP/dmxbg+29vWt869+YA0Dq+8Kue8AXIr9zt0cNKN7RhAVmw8D3PcgCSXDlNp4tzANoBAJJQuyYhrkVA1ISeeRoC7G8A8I/uEWgweYtHYzzhZG8DwELZ02Ftr2qanoUGnmjwmwNATeZlPsnbAHBrvxqoPGadqL9KIcDMDwfrAcDjo2JQhDEE2EwFICsAXL7/Ik5cuYf6ZfIgIFs6Na4QtWUdd8KPOuuOXEb7OTuZ7qn0Ie3Y5buINjgHYL8l+7Bg+1nF/noLAGq9r9ID+bMCUCkEmAYAyTtBcD5eBVhpXPHfvWMBvv/2jt2tdlcOAK3mET/pD1+A/MTROjymFQHgqdGxSPqyWAMt1Er42EobFxYTseYA1AMAehoCrCcAJGqiXJmcVYCX7ruIbvPFYbtmhAArKQD1BIAEJqTwogLQqgCwYNa02NCnOstUUd3GiCrAvhACvKBTJbScpX8RkL8/rYEqY+0JAGkhwDQAOCC2BDpFuuYAXHnwEt7TIQT4ybPn+OvkNZfw2elvh6BuKWcVYBYAOHfbfxj0vwOO9ulSJsPGvtWRLX0q1XOInKAFACpVp1fzd9QMAPjJz/uwcKcyANSqxPNUAcgBoPuha0QIMAeAmpYLfpIXLcD33140voVuzQGgyc548uQJ5s6di8WLFyMuLg43btxAihQpkDdvXoSHh6Nz586oVKmSYq9WrFiBmTNnYvv27bh69SqyZ8+OihUrOs6vW7eu4vmkwbNnzzB79mz8+OOPOHz4MO7du+foR61atdCjRw8EBb1K8Mt0QRWN+AKkwlh+3tSIEGBPFYAcAAKpkifF0ZExLqOTBgA7RwaiP6UIiFIOKCUAuG9oNDJqyAFIVC/v/8iWA5CEHI5celh2FnIA6DQNqwKQ5NEK7G+dEGAa8GYBD+6Ax6cxxdElyto5AM0HgEdw7d5jj/+aEbj2574LiDt3W3StNT1dwwnNCAE+NjIGRQeKi4AYCQCJWq/D9zvw3/UHLrYUAsDbD5+izDD3VYClY7h9eAAGN9D23qcFACqlpmCZhwltzACAfX+Ow6Kd5xTHsLcAoNbcg0oPRPvIaYccgHqEABPo2liSi5MrAJVGFP/dmxbg+29vWt869+YA0ERfnD17FvXq1cP+/fvd3vXjjz/GF198gSRJkri0I+FTXbp0ccA/uYNAwOnTp1PPTzjn+vXrjr78888/1MukSpUKU6dORfv27Q2xEF+ADDGrLS9qRQXgydGxSPZSAUhTWqjZuLA4jTUHoJwCUE3omREKQK0AkIQT5s6UxmGiZfsvoqsE2lkBAP7ePRxvTP6LxY2KbfxBAcgBoOIw8KgBK4iZ3ykMrWbR//570oG/Pq2BcKoCkANAPRSA7oC1pwCwdL5M+L17hCb3s4474UcdpdQUav6OHr10F3UmbtLUd+lJcqr9PovjsHgXCwDUVo1379lbeHOK9r8lpCBF2fyv6WKDhIsQ+Lfj3xsuodosALBx+XyYuemUbH9WfxyJ2m7CtvWInhDeXIsCUCkEmANAXYcbv5gJFuD7bxOM7AO34ADQJCcRtV358uUT4V/p0qXRs2dPFCtWDHfv3sWWLVsc0O/+/fuOHo0bNw59+vRx6d2AAQMwevRox7+XK1cOffv2RaFChXDy5EnHOXv27HH8RtqNHDmS+nTx8fGoUaMGNm1yviw1btwYnTp1QpYsWRxAkJx35coVJEuWDEuXLkWdOnV0txJfgHQ3qW0vaAQAXNylMppJcgAKN09CY05ZfwLjVx4V2ZcDQHkF4Olr91GdsQiIkgLQ3wAgUROlTO69IiBmhABrAYBGhgD7qwLQKAC45ZPqiPhsvWi9dOYA1BEA7r8IEi4pPLylADw6si6KDVwh6oucAnDFgUvoMs+zKsDuQNv0t8ujbqncjr5oUQCaDQCVPkwJjaoEg8wAgL0Xx+FnPwKAV+4+QpNpf+PsjYcu75f+AgCVioDQACD5KFg6n74g1rYv+PzBTLcA33+bbnJL3pADQJPc8ssvv6Bp06aOu1WuXBmbN292ADbhsWvXLsdvT58+RebMmR0QLnny5IlNTpw4gRIlSjhCd0NDQx0AL00apzqGHA8ePEBUVBR27tzpOO/IkSMOOCg95syZg3bt2jn+uWvXrpgyZYqoCblPSEgI7ty5gyJFiuDQoUOifuhhMr4A6WFF/7iGFQGgsFgDbaOlZuPC4kVPcwAqbbSEmytPFYA0ACirAFSoAikEgLQcgFoVgDQ1oZwflEKA9VQAcgBI9wIHgCyrhLMNqxJrfscwtPpGfwWgtwAgTU1kRgiwZQHgg6coM1xdCLDZAFBJEanm76gZALDnor1Ysvu84mQkKUZCC2ZRbCdt4KkC8Ldu4SijowJw1NJDmLX5NPU57AAAjQoB5gBQ9dDnJ5hoAb7/NtHYFr4VB4AmOYeo/b788kvH3X7//Xc0aNCAemeixvv1118dv5FQ4VKlSiW269atmyMslxxbt26l5grctm2bAyKSo3v37vj6669d7lOyZEkH1COQkSwEadOmdWkzduxY9OvXz/HvP//8M5o0aaKrpfgCpKs5bX0xDgABfwWApKBAntecHzloADBuSDQypUmhevzrCQDJpquhB2Fbws4TmJAqufjDkOqHU3GCdG6ZoQCMf/4ChVTmAOQAkN2p3gaAm/tWR9Vx5isAzQCAtCIgHAA6xybruBN+1FFSRApHvZIC8MilO6g7cTP7RHHTUu5ePRfuxZI91gWAeocAu/OpvwBApRBgku+RqCSFBweAukxDfhGDLMD33wYZ1scuywGgSQ4jMC5BaXfgwAEQCEc7SNjv559/7viJKPmIEo8cJPdf/vz5cf78eRQvXtxRtEPuIL8fPXoU+fLlw5kzZ0S5AI8fP46iRYs6TiW5BKdNm0a9zKVLl5A7tzOUpFWrVo5CIXoefAHS05r2vpb0JbRiQBYses8JuVkO2kuspyHAwlxttylKC2G/lDYuLM/AmgPw82Zl0DQkn8sllZQWVlUACgEgDdpxAMgyeuTbSOdG4RzpsaZnlKaLshYB4QBQk3mZT2IFMUYpAGkAcELzMhi9zNgQYDMAYNDgFXjwJF7kiyMj6qL4INYQ4IvoMk+++FDCOnzy6j2cufEAYQFZkDblqygQcmN3/p3Wujxigl+GAFtUASgGgO7toebvqBkA8KOf9uB/ey8ozkXyflFBgwJwz5mbaCQpKKF4M0EDKwHArOlSokmI+xyAqz6ORLQXcwCyKAC1AEC9lZhqxgBvyy2gZAG+/1aykH/8zgGgSX6eNGkSPvzwQ8fdWBSApADIrVu3kDFjRsc5p06dSgznfe+99xxFPuQO8ntCkRByXkBAQGLTb7/9Fh06dHD894IFC/DWW2/JXofkJzx27BgKFCiA//77T1dL8QVIV3Pa+mJGAEACEJvP2Cqym5ocgKYDwCErcffxM0U/WwEAnrp6DzW+2Cjqq9YQYCsoAEk+r1HL5D+42EkB6I8AUGlTLwfwfb0K8I8dw9DagBDgTX2qI3K8WAFIACDJAXj1rk5VgCk5AGkwYVD9IIxbcQSPnz1XXDtZYJMZAHDt4cuOPIFP418gMFs6/NkjQgQBWQHgrQdPUHb4atFzvxcViH4xJRL/TXotM0KAhWu6mmrsSh/SzACASvlCEwzrDwBQWjFaOpY4AOQ5AFUturyxaRbg+2/TTG3pG3EAaJJ7rl69isKFCzvy6oWHh2Pjxo0uOQBJAY9KlSrhyZMnaNmyJebPn5/YO1KMo379+o7/JqHEH330kWzPye8k5Jgc5LzY2NjEtkKFIblf2bJlZa/TsGFDB6wkMJIUKkmXLp1u1uILkG6mtP2FXABgwSxY1MUzBSAdAL5KoC40Kq0IiDBXG22jxbKZVOM41hDg8U1Lo1lofpdLm6kAVAMA1x257FJdUNh5UlE0rwEhwLRwYjl/KAFAorrwpHKj8L5ETZQ6hfdCgM0AgM/in6PwgOVqhj+MDAE2AgD2iymO96Jc8++qemiNjVkVgGYDQL0UgP1ji2Pp/ksuRUDMAIC0EGC9FYClh67EnUevPvYMaRCEduGvPuIaCQDL5MuE3wyuAmwUADx88Q5ivjI2BLjHgj34Pc66CsBfu1ZBuQKZNa4crqe5G2tKADBb+pRoUj4fZripAmwPBWBlNJkm/pjMFYC6DUF+IQMswPffBhjVBy/JAaCJTiO5/Vq3bo2HDx86KvgSiEfCce/du4e//vrLUQWYgDYC5ZYvX45cuXIl9o4o/t5//33Hfy9evDixoAit+yRnX7NmzRw/kfOIIjDhIIq/hQsXOv6TQMls2bLJWkAYtkwKihBFIOtBFhh3x8WLF1GxYkVHk7NnzzrClfnBLUCzAAeA7DkA5QCgUq4lPUOAaQCwU9UADKgX5OJejwHg4GhkSqs+ByAHgE5XSOdWkRzpsdrgEGAtADAgWzqs713NkAXSXwHgvA5heHu2/kVANvaphqjxG0S+0jMEWA0AJAV8SAV3X1IASudkuQKv4deu4Yn2dAdlprYuj9iXIcBaFIAcADrNLKc2/GDBHvzBAADJB0aSqkTt4WkIsJkAUCkHoP8oAF0BoN6h2GrHEa399tM3QD5mZ0mXEv1jSyB7hlR6XJZfwwctwAGgDzrNgC5zAGiAUd1dkhTfmDBhAkgoLsnrJzxy5syJTz75BJ07d3ZR240fPx59+/Z1NCdwsG7durK3Ib8nqP5IPsFevXoltq1Xrx6WLVvm+G8CIlOnTi17HdKXcePGOX4X5iNkMRlRDbIeHACyWso/25kXAqxNAXjz/hOUGyEOtRJ6Sil0icWrWnMAPnoaj6kbTmLetv9w4/4T2VsJ+0gDIuR3qR9SJU+KoyNjXK6pJwAkFUXzZXYWKaIWATEBABLgQNRLcgdXADotw5oDUAsA5ApAllVC3g+0s40CgAT29VwUJ7qlniHAcgBw5UeRqDNxk+i+ZgDAw8ProsRgthyASiGvtHU25PXMIIUGEg5WAEj7u6QUAmwGABSqupXsoebvqBkKwO7zd+PPfRcVJ6NWALj7zE009iAHoJkAUEkByAGgdUKA7z9+hpCRq/HoqTMVQt2SuTC9jTO/PD/8zwIcAPqfz2lPzAGgiePg6dOnGDZsGGbNmoUrV65Q71yhQgUMGTIEBNQJjxEjRmDw4MGOf1q7di1q1Kgh2/N169ahZs2ajt/JeQMHDkxsS/6d/E6O+Ph4JE2aVPY65H7kfHJs3rwZERERzNbiAJDZVLyhggWMUAAu7FwJLWZuE915+tvsAFBYrdUUAMiYA1CqAOy3ZB8WbD+rOMb0VACSBPY1GXMAknxXHb7fKds/DgAVXedRA28UAeEA0COXKZ7MGgI8t0NFtJm9XfF6ejSwCwCkhQAbDQBDX8+Mn20KANVUY1f6kHbowh3ETjI2BLjbj7uxdL8yACTvF2GBWVVPHU8B4JKuVVDeIiHABACSgmTuQoBp0F5oNCWfqzWwdG3UowjIz10qo+l0cQiw1RSA3//9L4b8flBkLr1tq9YXvL33LMABoPdsb6U7cwBokjfu37/vUOVt2rTJkfuPqPLatWuHwMBAPHr0CP/88w+GDx+OLVu2OHLukTx+CUVDSBd9TQHIQ4BNGlh+cBuzAKCwgqLQrFM3nMC4FUdFlhYCQKKsK2+0AlAjAGSFAUYDQLkQYG8BwD/3XUD3+XuYZo+SApCoLjyp3CjshLdzAJoRAvw0/jmKqMwByEOAmYaqoxHrnPdlALhs/yXsPXtLZBQ5BeDnq44mKl9YrSi3OTYaAJ4eE4uAfs4IjYRDDQCc0qo86pV2VgH2BQWgrwHArj/uAhl7SgcHgAAHgNZRAE5ccwwT1xznAFBp4vrJ7xwA+omjFR6TA0CTxkHv3r0dOf7IMWfOHLz77rsud3727Bmio6Oxfv16hzKPFOkoXbq0o52v5QBUMitfgJQsxH9PsIAVAaAQ1JgCAIeuxF1BYni50SFVALLCAD1DgGkKQK0AcHPf6sifRT4EeO/g2ngtbUrVk0UNACQFHUgFU7lDTwBI1ERpUnqvCAgHgK5e1lIF2BeKgNgNAK74qCrqThQrwEgIsNEA8NDwOggavFI0cEjhoE6RgS6DSQl40QBgRUnRK3druhAA0v4uWSEEWKjqVrKH0IBKiiUzFIBd5u7CioPKAPCnzpVQSYMCcNd/N9Fk2t+q/54lnMAVgO5NZ5YCUO9QbM0D4uWJX605ji/XHOMA0FND2uR8vv+2iSM9fAwOAD00IMvpJNcfKbZx48YNR9GPo0fFaiLhNUgxkIRQW1IkhCgByfHnn3+iQYMGjv/vSRVgIYjkVYBZvMfbeNsCVgeA1+89RsjINbJmUtq4sNiXNQegrwHANYcuo+MP8iHAHACyjA7tbbxRBESLApDnAGT3MSv0/6F9RbzzrTkhwF+2KOPIo3n17mP2B5FpSRS5NAUgDQASEPfFamMVgDQASPrYOdK1CrQS8KICwIAsIDnlEg5PAGCXqEL4NKa47LXMyAHoywDwvbk7sfLgZcUxzAGgfysAOQBUnCK8gRctwAGgF41voVtzAGiCMy5duoTcuZ1hGS1atMBPP/0ke1cSDpwmTRrH76TQBynoQY5Tp06hUCHnCyWp6ksUgXIH+X3mzJmJ5wUEBCQ2JcVHOnTo4PjvBQsWgFQFljtI1d9jx46hQIEC+O+//3S1FF+AdDWnrS8m3fBUKJgZi7u8Soqu9PC0DRN5QX9LkgNQTQiwUAFoCgA0MQTY0yIgJ67cQ60JG0VukVMAegsAkkqOpKIjy6GkACSqC08Stwv7QGBC2pTJWbqlSxtvAMAnz56j6EDn3zXWw0gA+PHCvfh1z3nZrthVAeirAJDMx+UHXEOA5QAgUQDqVQWYFgJ8cFgdlBwiVgBKASCB3pPXncBXa8VheNJBd2p0LAL7i0OAwwKyYCEjAJzcqhzql87juKwvKADVVGNX+pB28MJt1Ju0hXVJcdtO7l6df9iJVYeUAeCCTpVQuZD6HICeKgBJsRhSNEavwx1sbhdeEEMalEy8lbStv4QAL+5SGc0kOQCtBgAnrT2OCau5AlCveeHr1+H7b1/3oD795wBQHzu6vcq1a9eQPXt2R5smTZrg559/lm1/9+5dZMyY0fF7/fr18ccffzj+P1ER5suXDxcuXEDx4sVx+PBh2WuUKFECR44cQd68eUEq7AoLchCgR8AeObp06YJp06ZRryOEli1btsT8+fN1tRRfgHQ1p60v5m0AOG3DSXy2QhwCKgSA1+49RqjRCkBGADiuaWk0D80v+1IuN1D0DAE2CgDSwna1hgCrAYBEMTPWTQiwnQBg0ZzpserjKE3rCWsVYC0A0MgcgEYAQDkFmCbDqjyJVQH4ffuKeNdEBeCYZUdwRQcFoBoASPzwxapjXgeAP2z9F4N/Eyfhp7mVBgArBWbBT53ZFIBCAEj7MGWFEGAlVTfL3yhaGzMAYMfvd2LNYQ4Aif2ZAGBoPszYeEp2BaNBe2FjJeircml0yY+qRxEQGgDUOxRb7XNK23MA6KkF7XU+33/by59an4YDQK2WU3He8+fPkTlzZty5cwd58uRxqOmSJ6erPIShvh988AEmTZqUeKeuXbsmArutW7eiUqVKLr3Ytm0bKld2viyS9lOmTHFpExQU5ACIWbJkcQDCtGmdObaEx9ixY9GvXz/HPy1atAjNmjVT8cTKTfkCpGwj3sJpAemGVpoUXclOrArAqa3LIzbYqdQVHjQAKMzVZgoAZMwBaFUA2DEiAAPrB7nYdvWhy+jEGAJM3ouzQAAAIABJREFUA4B7BtVG5nTqcwByAEifW2bkAOQAUGnF8ux3fwWAyz+sipivxDkACQAkypdHT5+rMqqaIiAHhtVBKQUFIKtPaACwcmBWLOj86l3P3bWUAKBiCHD+1/Bbt3BVtkpozPqMvg0Ad2DN4SuK9tGuALyBJtPEFWUVbyZoYKYCsH14AAY3ePU3XYsCkANANd7V3pYDQO22s+OZfP9tR6+qfyYOANXbTNMZrVq1coTckmPo0KEYMmSIy3Vu3rzpyP936NAhx28rV650FAVJOIh6r2TJkiDFQkJDQx0VhRPChUmbhw8fIjIyEjt37nQARnKdIkWKuNxHGAbcrVs3TJ48WdTm5MmTKF++vANYkrBjoiaUA5aajAGAL0BaLed/55mlANQKAEleqwqjDM4B6OMKQK0AcFOf6iiQVb4IiBUAINl0eZK4XTijSThhulQ8BFi6ynEFIPu6zwpi5rSrgLbf7WC/sActSQ5AoxWAy3pURewkawBAaREQVp/QAGCVQlkxvxMbAPy6ZTk0KOMMAfY3BeCB87dR/2tjQ4A7zNmBtUeUAeD8TmGoUigb84w5fPEOus3fjVNX7zOfQ2v4y/uVEfJ6Fo+uITzZ6BBgOwBAkp+z+QwxtOUKQN2GIL+QARbg+28DjOqDl+QA0CSnEYgWEhKCBw8eOO5ICnqQSsCBgYEgef+Icm/ixIk4c+aM4/eaNWtizRpXqEBUeUSdR45y5crhk08+cUA6Au0+++wzR+VgcpB2o0ePpj5dfHw8oqKiQAqOkIOEJXfq1MmhUty+fTtGjBiBK1euOCoRE0ViTEyM7lbiC5DuJrXtBdUAwL1nb+HTX/Y5Kub2rVsMDcvmdVEQEkORL/QtZ20T2UwNAIwbEo1MaVI4zrcbAKSFRBJFjNQPqZInxdGRrmvDiSt3UWvCJpFt9QCAeioAf4+7gB6MOQA/qVvcJQRc+HB2AoBmhAA/fhaPYgNXqFqvrAIAHz6Jd4wFUnF0+783ZJ/BF0KAfRUAkpD8FZQcgDQASMKFSfVLsxWAWgHgydGxKCTJARheOCt+7GhPAKimGrtSOKgZALD9nB1YZwAA7Pg9m7JQadHUGwAG9FuKFy/od1UKAc6SLiWa+UEIMA0A6q3EVPK70u9frz2OL3gOQCUz+c3vfP/tN652+6AcAJo4DgjQI/n0SE5Ad0eNGjUceQIJkJMeJJyYwDqi4pM7SJEPUgSEADy5g/QhNjYWO3bQFQApU6Z0KAPJvYw47LIAnb52H/vO3UL5ApmRP4trKLURtvO3a6oBgG9M3oJ95247TEQA1e5BtV0StKsFgNM3nnTJATeuSWk0r+DMtXfl7iNUHLVW1i1KGxcWfwb7lAKQHQCuOngJnefukjWBUAFI2ywS/5KNhtqDA0CnxaRziwNA15EknL+0UCra2JMCILXj05P2rGozuwHApT0iXIpAmAEA9w+NRvDQVSKX6QkAIwpnw7yOYYnXd+dfoQKQlprCajkAfQ0Atv1uOzYcvao4Ped3DEOVwuwKQNY5q3RjvQFgYL+leG5jAFinZE7MaBPq1qzjVhzB1A0nZdtwAKg0KvnvVrOAXfbfVrOrr/WHA0CTPXb9+nXMnj3bUd334MGDuHXrliO8NleuXKhQoQJIqPAbb7whKtxB6+KyZcsckI8APALzsmXL5jifVABmVeyRUOJZs2Y5CnyQnID379935Cgk6sMPP/zQEW5s1GGHBYiAvxYztuHh03hkSJUcv3argsI5MhhlMr+9LisAJIVyAvqJKyiSDRGt2qsaBSANAJKN5XtRzqrcpgBA1hyAAjBJAzxyg0jfIiD6AcCNfarh9azpHN2mVYy0GwAk+cTSezEEmANA9wCQdaPuCwDwu3YV0M4HQ4CJAnDlwUvYc+aWyFl/fhDhEgJK2k40WAFoNACsWiQb5nZgA4CTWpbDGy9DgDUBQJNzAPoaAKzxxQamMF1vAcCfu1RGaEH9QoCNBoC0vJ3CSa3Hx1Ph9aTrtx5FQHwBAE5edxyfr+JVgP12EyV5cDvsv7kvPbcAB4Ce25BfQYMF7LAANZ76F3YLNiG1SuTEN++6/5qowVR+fworAHz0NB7FB4lDC6e0Ku/IrSM9aACQtK1X2rUIiCIAvPMIFUdbRAGoAwA0IgS4Q0QABlGKgCgpAIUA0FsKQBJKPm7FUdl5SFQXniRuF17Y2wCwWM4MWPlxpKY1h7UKMG2eKt0wMFs6rOtdTamZpt/VVAHmAFCTiTGheRmHilqPKsBWA4D7hkajtE4KwBOjYlB4wHKRke0GAJVU3SwfqWhtzAgBZp3/P3YMQ7gXFIAcAMqvT7QPxHoAwIWdK6HFTHE6GauFAHMAqO3vll3PssP+266+MfO5OAA009r8XokWsMMCxLrh5W73zAKsAPDm/ScoN2K16Gbftg1F+zk7XTpAknS3mvWP6N/VAECyCSUVFclxhQNAkR1pOQDlACBR8rznJgR4Q+9qKJjNqQDUEwD+tvc8PvxpL9PANBMAEjVRhtTO3JJmHNK5ZVUAaJUcgKwAwCcUgG0roN0cc4qAmAEA/+gegQaTxUUgSP7Or9YamwPQaAAYWTQ7fmhfMXE5cDcGhQpAWm5axRBgExSAHAC6ruys64rS3wQzAWDbKgUx9I1XUULSZ2DJAWimApAGAPUIAaYDQH2LsSj5Xel3DgCVLORfv9th/+1fHjPmaTkANMau/KoKFrDDAsQBoDnDnBUA0jY837eviHe/3e4RAJyx8STGLD8iuoYQAF6+8whhXAGYaJ/jl++i9pfiIiBGAcBdA2sha/pUqgciB4BOk3EACPRcuBdL9pyXHUPCMDTWjToHgGJzftGsjKN4ipEKwN+7h+ONyc7CZgmHGQCQFIQqM0yfHIA0BWBU0ewgf8cSDndj8Ku3yjoKX5HDFwDgH3EXqCk6aJNRKRx0/7nbLgBY9R+GlyfI3Yt1/s/rEIaIIubnAFzcpTIq6BgCTArSxMskAfQ1APj8+QsESgrs1C2ZC9PbhLgdJmTdmuYmByAHgFpnGT/PWxaww/7bW7az0305ALSTN33oWeywAHEAaM6A8zYAVAoBNgUAmpgDkDUEmHifFBIgG9QkSZIYDgBpOQDNAIB96hTD+JXyIcBEddF0+lZdJgNXANLNaGQIsL8CQDl1tC4DWXIRAgDHrTyCy3cee3x5uRBgGgAk6l1SuMXIKsB6AsDjo2JQRBICXK1YdsxpZx8AKEzrwAGgczqwgkWlyWMmAGSpAtw8ND/I+5PcYaYCkIBMaYVtPQDgT50r4S2XEGBrKQCnrD/h8g6jBNSVxhr/3XctYIf9t+9a3zo95wDQOr7wq57YYQHiANCcIWt1AHjp9iNUGmONHICfNQlGiwoFEh3DurEQvgyqAYDkRq3DCmBUo2BDAOD63tVAwj/JQQsBthsAJOGEGXkIsMvCwgEg+1rLOufNBIBKEJ396eRb/tYtHA2niBWAdgCA1Ytlx3caACCtOJUVQoD9AQDO7VARVYtkZx7WrHNW6YJ6A8DC/ZfhmYEKwGU9qiJ20mbZx9ITUj2Lf+6SX5MFACpVAaYBQL1DsZX8rvQ7B4BKFvKv3+2w//YvjxnztBwAGmNXflUFC9hhAeIA0JxhzgoAaRse2RDgjmFo9Y04B+DkVuVQv3Qel4eihQALqwD7OwAkBjs0vA7SpkzusJ2aEOAVBy6hy7xdsgOJA0Bj55ivhAD7GgAcWK8EOlYNNNZ5MldnhQlmAkAzDPG/buF40xsAcHA0ygwXhwBL/c/qE5oCsEbxHPi2bQWmjzrCEGB/A4D7zt1yCQHXOu48DQH2FgAkFWkrBuhXBdgTAJg5bQo0r5AfMzaeknWDtwFgTKlcmPa2ZyHAHABqnWX8PG9ZwA77b2/Zzk735QDQTt70oWexwwLEAaA5A86KAFCYA/Di7YeoPGYd81fsB0+e4et1Jxw5mjpWDUDxXBkVDRnMGALsDQUg6fy2fjWRK1Nqx3Mcu3wX0Yw5AD0FgDsH1kI2g3MAKqmXiOqimU4hwCScMFMaXgREOiE4AFRcIpgAkfAqs98NRYfvXQsksd/JWi1pAJDM3a/XGRwCTAGA0hyQngDAmsVzYLaNAKCwsNPvcRfQY8EepoGkpAbjABCwGgAk0QjuQoDNBIBP45+7hNfHBufC1NYcADJNQN7INhaww/7bNs7w4oNwAOhF4/vzre2wAHEAaM4I9jYApOUA9AQA9lkch8W7zjmMlz5VchCIlTpFMrfGDB6yEncfP1M0uB4AkJYTjWy+3G1ilQBg+/AADG4Q5NJ/JQC4rlcUArOnd5xHCwHmAFBxSLhtIPVp8VwZsOKjSE0XZV0PHz6JR4nBK1Tdw5sA8DuS57JIdiRNmoQ5V5cvKADtBgB/7VoFjab+LRpXZgDAvYNro+xwcfV5rQDw2MgYFB24XPQMtUrkwDfvalAAUqrTWyEE2B8AIKnaTKo3sx6sgFjpenoDwCIDluFp/AvqbVmKgCjlADQTAD559txlbrEAQKUQ4AWdKqHlrG0iG/EQYKWRyn/3pgXssP/2pv3scm8OAO3iSR97DjssQHIb3j1nbuKbLaeRM0Nq9Iwu6oA8/NBuASMA4I8dw9CaMQSYBgBJdcn3qxVyPNSFWw9RZSy7AlD6PMMblsQ7lQtaBgCqzQFIOr61Xw3kzpTG8Qw0BaA8ALyILvN2yz67UQDwf3vO46OFe5kGpT8pAP0SAC7aiyW75asAk0HyZtk8mPhWOVsBwG/eCUXHH+yjAFzStQoaWwQAag0BpgPAnPjm3dDEtcodLJrYoizeLOesAnxFAwAsm/81ECWlloMVYnEA6GpdVtsp+YVUpA0LzKrUjPl3TwAgCQG2kgLw8bN4FBso/vBkFADUOxcjs8NkGk7dcALjVogLmSkpaj29Jz/fuhaww/7butb1nZ5xAOg7vrJVT+2wANFe2kgVz9CRa/D42XOHv5qG5MPnzcrYyndmPwwzAKRseORyANIA4Ncty6FBGdccgNM2nMRnK46IHltPAEhAIrmeu4NVATi2cTDeqmhuERAjAeDaXlEoZIACUA0A7B1dFJ+vOibrHqK6aD5DnyrAcYOjkSmt90KALQsAs6fDul7VDFl6ejIAQHJjUnAmZOQapj74ggLQbgDwl/eroMk08xWAewbVRrkRYgWgngCwdlBOzHrHHABYJv9rIMVUtBysEEuY11XPEOC4s7dcisBoeQ5yjqc5AMl7R5QXFIC+BgCX9ohAvUlbZN2kJ6SiAcB6wbkxpXV5t8NEiwKQA0CtM4+fZ4YF7LD/NsNOdr8HB4B297BFn88OCxDthZeEho5dLoZFer7EWNSdhnbL2wCQ9vVUCADP33qIcA8UgEwAkDEHoB4AUEsI8N+f1kCe15wKwKOX7qLOxE2iMdEuvCCGNCjpMk5WHHCvAFQCgDsG1EL2DKlUjz8OAJ0m4yHAACsAXP5hVcR8JV+xUjgIfQEAEqjUyUYKwF/er4wm08QgnsD7yetP4NFT5wc51kPub3bJwStw/0m86DJ6AsCjI+u6qJSig3JipgYAePnOI4SNFlent0IIsBAA/rb3PD78iU2JrfQexQEgoDcALDpgOZ7E0+eOHiHAZgLAR0/jUXyQWAFYr3RuTGnlGQCc3ykMrWaJC8r5AgAkqvYiOTPgvchAJE+WlHVp5O1sYAE77L9t4AavPwIHgF53gX92wN0CdP/xM6RIlhQpk1v7jxINAJKXojl//ytyqtKLq3+OAPan9jYAnLL+BMavFIdPmA4AGXMAjmkcjJYeKgDNBIDL91/E+z/KhwD7GwAk+cReS5uSfXJ42NIbAJAUwQkavFJVzw3NAcioANzctzqqjlvP1G8OAJnMpGsjknerqaQYjx0AYJ2SOTGjjXoFoBYAaEYIsD8AwDntKqBasRzM45tVPal0QVKRtpKOIcCeAEASAkyiEUgEhdxhVwCody5GJb8r/U77iJ1wDklx0q16YaVL8N9tZAEOAG3kTA8ehQNAD4zHT9VuAbkFaMhvB/D91v+QLX1KTHs7BBUKZtF+E4PP5ADQYAO/vLwRAHBehzC8PVv81VYuBJgGAPvWLYau1ZwvTeduPkDEZ/JgQAqApc/DpAC0OAAU5gBUowBUAoBrekahcA75IiBaFYC/7jmHjxfGMQ3gXrWL4ovV5oQAcwBId4kVAOCWT6q7nefCnnMAyDS1dG3kLQC4e1BtlNcpBJimAKxbMhemt3lVqdQdLPqyRRk0KpfPYVerAkBhXlc9FYB7z97Cm1P+0mVMeRoCzAEgwJID0EwASCs+Vb90bkw2QAFoNQBIS2MjnChcpKDLsuEzF+EA0GdcZWhHOQA01Lz84nIWoC1AUnDgyddoMyxPexEnoY7f/cUVgHraX2rnigWzYFGXyi63oG145HIAWgkAdokqBBI67u5gzQFoVQWgNFwo4VnVAMA/4i7ggwV7RGayAgAkYVctZoqrAGod/xwAygBAC+QA5ApAraPanPNI2F0ziQKQwPspG4wNAdYTAB4ZUdclTDGmVC7Hx9CEgxUAXrr9CJXGqAsB9uSdi1XF5g8AkFQOr84VgIpFQP78IAL1vzYnByAHgOLURBwAmvN3yYp34QDQil4xv08cAJpvc35Hopo6dw758+d32OLs2bPIly8f+v+6H/P/OSOyj5W/THEFoDlDmVUB6CkAnNSyHN6gFAGZvO64SxEIYdjE2RsP3IYGKikAmQAgYw7A0Y2C0SrMsyIgnoYAH7l0B3UninOlyQHAZfsvoqubEGChApAGALcPqIkcGVKrHoh6KgD1BIAkn1jmdPYOASYpHkoOsU4IcK9Fcfhl9znFMWQ3ADizTQg6z92l+Ny+0oBWjIcAwKkbTuLhU3HePqVnUpMDkFYcRmsREBoAlFYq5QCQ7j0rKQC9BQAXdKqEyoX0qwJcdOByPHlZ0E5qdaUcgCwhwGYCQFrqCVL0jUR+uDuUioDM7xiGVt+Io0n0zsWotF4p/T5940mX3OQcACpZzb6/cwBoX9+qeTIOANVYi7fVzQK0BWjAr/vxowQAEoXPa2lTOHICWu3gANAcj3gbAH699rhLCKjpAJAxBNhbAPCvT2sg78siIPoCwEgUzpHBMdD+3HcB3eeLFYBmAMCetYtigpsQYA4AnesAbT2kgRQOAI1dN1mVWP4AAMncJfmvjCwCYjQAlFYqdeffCc3LoHF5ZwiwVRWAwryueoYA7zlzE42miqtAa51pcgA4ZMRqXL//RPGydgGAxQYux2ObAEDa3x0OAJ1D2cpCC8XJxhuotgAHgKpNZssTOAC0pVut/1C0BWjg//Zj3jaxApA8SVDujCA5VXJkVK/0MdISPATYSOu+urYRAHBuh4poM3u76AHkFICT1h53AUBWBYCjGpVC67DXE5+LFQYIXwBpVVHJ7+6uZQYA1FMBuGT3OfRcxJYDUAkAksTrb+kUAkzCCbP4mALw3uNnOHb5LhpTNt+6AUADQ4BZFYCb+lRH5Hj7FAGxGwCkgXgzAODOgbUQOnKN6G+JngpAaaVSVgB48fZDVB6zTtQvpSrAZoQA+wUAbFsB1YubXwREbwWgtwHg6TGxSJIkiS4vmuTvVCmJ8pxEfJD3PncHVwDqYn5+EQtZgANACznDi13hANCLxvfnW9MWoMG/HcAPW/+jmoUlTNJse3IAaI7FWXMA0hQPcjkA9QSAZ64/cAsGdAkBZlQA6gIAF+7Fkj3nRc41CgAu3XcR3ebLVwFe/XEkiuR0KgA5ANR/vknnVoncGbH8w6rMN7py55Gj8uqZGw+o59gJAG7sUw1R4zcw2WZAbAl0igxkaqt3I1boP6NNCN6zUQgwDcR/XKsopm3UTwFIAAIBCcLDaAAoLVTgCQCUvkdJr1WuwGv4tWu4piHJOu44AHQ1L6vtlBwzv1MYqhTKptSM+XcOAAElAPhjxzC05iHAzGOKN/S+BTgA9L4PrNADDgCt4AU/7ANtAUqoACxnDqvJ1DkANGfgehsATlxzDBPXHBc9rFABaAoAZMwBaAUAePjiHcR8xZYD0GMA2L+mJmWwGgUggQhfrpGvAmwnBaBaADh62WHM3HRKdiGgrdk0JYbSShJoAQXght7VUO1zzwEgUWbN2HgKqVIkRbfqhZExdQqlx1f1OytMsBsAJOqnlrPExXj0BoAlB6/A/SfifIJGA0BpmKI7/37RrAyahDhDgK2qABTmddUzBHj3mZtUFbKqyfOysachwN+2DUWN4jmZb806Z5UuyAGgvIXuPnqK4KGrRA0als2Dr97yTAFIA4DknaBSoH65GJX8rvT7jI0nMWY5LwKiZCd/+Z0DQH/xtPvn5ACQjwOvWIC2AA39/SDm/C2uoCvsHAeAXnGV12/KGgLsqQLwq7fKomHZvC7P++XqY/hqrTwA/O/6fbfKIDMVgCPfLIW3K3k3BNgXAOAvu86h12K2EGAlAEgDD1onDcknljV9Kq2nqz7PUwWg0sbVTgBwfe9qqM4IALOlT4le0cXQPDQ/kiV9FcL24sULB0T877pTMRlVNDuISlnPQ8knCfeyGwAk8KPVLHEyfjJ3SQJ8I4uAkDzFFUYZFwIsDVNkBYAXbj1ElbHWCwEWAsD/7TmPjxbuZRr+Su9/HAACegPA4oOWy+bPNKMIyKnRsUgqWD+ZBopMozuPnqI0B4BU6yjNLU/szs+1ngU4ALSeT7zRIw4AvWF1fk9qFeBhfxzEd3/5NgBsHx6Ab/86LfIw/+Pq2YD3BACS3JFtv9vh0oEf2lfEO9+KcwDKAUBSAILkARQeQgUgB4DAlk+qI1/mtA4T6QkAV30ciaLuQoA1KgA5AHSOZg4Agd6L4/DzLuUqwGoAYMJa0TqsAEY1Ck5cOnb+e8MRMi08ToyKQXIdi1yxAsDpb4egyzz7VAGmAcCPahVxAEAji4DoCQAPD6+LEoNXiMaHVKXkCQC0Qgjwmp6vCjv5GgAsP2I1bjAUAZn9bihqlvB9BWCJQStk4fm7lV/HsIalEseqdFySKsAtKxZwVOGWO5SqAOsJAG8/fIoyw8QKwDfL5sFEDxWA8zqE4e3Z4g8PVlMAztx0EqOXcQWgZzsR+5zNAaB9fOnJk3AA6In1+LmaLUBbgEb8eQizt4jhmfAGVgNptBdxDgA1DwnZE60OAP+9dt9taKAuCkDGEOARb5ZCGy8oAJUAoHSzkOBsWmVf4UCwAgAkEEEaAi7sIw08aJ0FJJwwm80VgLRQLCV7WSEEeF2vKNT4YqNSV11+F87/FQcuuUC346NidK1yzwHgKxeYAQBJJfKKo9aK/K61CAgNAEohhTv/ft6sDJq+DAHWogA0IwegUQBw13830WSasVWALQ8AO4ahSmH9cgB6AgBfS5sCrfwUAOpdjEX1Hx3JCRwAempBe53PAaC9/Kn1aTgA1Go5fp5HFqAtQCP/PIRvOAD0yK52PJk1ByAt55FcERBVCsBVRzFp3QmRaYUKQFMAIGMRECsAwEMX7iB2kjgHoFEA8J/+NZFTQ3VwNQpARQDYMQytJEnAtc5DDgDpliuUPR3W9qqm1axuz2OtAkyKF9TkANAQH+hx0fmUeUjmLsm3qDYEWK76KC0HoNEAsFG5vPiyRdlEE7ECwPO3HiJcZQgwB4BOM3uaA/Cbd0JRK8gLCkATAaBSCLAeAPDk6FhRCgVP1onbD56izHBzFIBWA4CzNp3CqGWHZc1nNXGFJ37m5ypbgANAZRv5QwsOAP3ByxZ8RtoCNGrpIcza7NsKQJqp+R9XzwYgqwLQKAD4xaqj+FoCAHtHF0X3GkUcD3b62n23ucF0UQCyAsCGJdGmckGmzaLQK8I+9ly0F0t2q6sCvLlvdeTP4gwB1hMArvwoEsVyyVcB1goAScgnCf1kOTgAlLeSktqMtvZZTQHIGgJMcpfVmqC/AvDYyBikTJ6UZSgytVHyScJF7BYCTEvGbwoA7F8TFUfrowA8NLwOggavFPm5cbm8mKATALRCCLCwsvuve87h44Vs67DSe5SVFID+AAD1CAH+o3sEGkzeIruu6QkAbz14grLDV4vuJYXrtI4oVQGmhQBzAMj0p4o38pIFOAD0kuEtdlsOAC3mEH/pDm0BGrPsMGaorCjpTXuxbrSUXly9+Qy+cG9PAKBcDkCaMlAuB+DnK49i8nqxAlBPAPheVCD6xZRw64pgmwLAP+Iu4IMFe2Sf3QoA8MOaRVyKwAg7TAMPWucVySeWPYP3ioAE5c6IZR9WZe6+0hroCwCQVQFIQhdrTdjEbJuEhkIbrDx4Ce/NFefd8x4ALI8u83arfh6rnkCbh2TukirVahWAcrnHqApACgAcVD8IHSICEk2lNE8SGlIBYPm8mNCcTQE4vmlpNAvN77icVRWA/gAAZ70TitpeUACSORCuYwhw0OAVeCCpep0wVpUAIIsC0EwAePP+E5QbIQaAUriuBQDO7VARbWaL80nrXYzF0zWXhwB7akF7nc8BoL38qfVpOADUajl+nkcWoC1AY5cfcSTsljusBtJYX+qt1m+PHOeFk70NAMmYJGNTeAxvWBLvvFTanbp6z21uMCUFIBMAZM0BqIMCkAZEyDO4G+/CHIA0BSCxHdkQDWkQlFgshPybEgBc8VFVFM+V0WF6WlszFIAcAMpPeqU1kLb20aoxKi0rVggB5gBQyUve/Z2mxNEbAJYashL3Hj8TPeh2gwFgk/L58EXzMkwwUQgAz918gIjP1ov6Kv1bI52/ZoQAGwcAb6DJNHGBHa0j0tMQYA4AAT0AoJ4FkrQCwPErj2DKevl9CQeAWmcZP89bFuAA0FuWt9Z9OQC0lj/8pje0BeizFUcwzU3FMKuBNKXNb4IzE/pNvshfufMIpfJm0jXpu90HDWsOQFrSc7kcgGoUgLR8ccIQH08BoDQsi+ZPVgWgEEyS66gdo+QcI0KAE54psmh2kPyLCYenAHBbv5rIlSm16ilqqBxlAAAgAElEQVSgJgRYCQDSwIPqDr08wR8UgFYDgKwhwARc1P7SMwUgrQgIVwBqnS3i82gbcb0BIE0BSD5ChElCgLUqAA8Oq4OSQ8QhwKSoBynukXC4W9OVAKBSCHD5Aq9hSddwTQ5h/VsjLOykbwgwB4B2UwDqCQBJ9WZSxEV4cAWg0xpW21tpWoD4ScwW4ACQ2VS2bsgBoK3da92Hoy1ASrk2rPZHivWFl/R71cFL6L5gD548e46KBbOAhAgkT6Zf3idWT5NEyI+exWsqnMB6D73beQIA9QgBpgFA4Rf+k1fvuS0OoIsCkDEE2AoA8OCF26g3ST6vj9Aev8ddQA83IcBKCkCtAHDxzrPo8/M+pqHao2YRTFp7XLYtDTwwXZjSiBQUyJFBPdDUej/p3DIjBNhqAJA1BJiAi2gbAcBprcvj/R/tEwJMm4dk7pIE+GpDgOVyj9EAYK6MqXHpziPRFNQTADYPzYdxTdkA4LimpdH8ZQiwVRWAQgC4ZPc59FykVw5A4wEgaxXgmW1CEF0yF/OyzPouqXRB8jEqooh+VYBp4z2hD2aEAOsJAK/fe4yQkWvEAFASXk+zr9K+hFZQjocAK41U/rs3LcABoDetb517cwBoHV/4VU/8DQBKQ4e8kSSYqE8+XrjXsRmSq8pqxUHIGgJMUwDKAUDav09sURZvlsvrYgIaABS+4FsJAA57oyTeraJ/ERBSFTOg3zLZ4SEsAqInAFz+YVWUyC0fAmwFAEjbAGidR/4AAG8/fIoyw8TVGJXsZYUQYJKPss5E9QpAYUVZK+UA5ABQftTJAUBaCDDtKnoCwBah+fFZ09KJt3EHi4QA8OyNB6g6znohwJ4CwH+v3XfYomC2dCLT7/z3BppONzYEWA0AJCkvSP7JhTvPokiO9BjVKBjZ0tPzu9oVALYOK+A2fPb37uF4Y/JfshPx+KgY3aJlaABQGl5P64hSCDAVAOpcjVnp76PS7zM2nsQYSRob4TlWE1coPQ//3TMLcADomf3scjYHgHbxpI89h78BQOkLXsuKBTCmcbCpXis9dCXuPHqVv2h972oIkLxEm9ohxptZEQDOaBOCOi+/8J+4cs9tdVAlBSBTCDBjDkA9ACBNEWUFAEhTC1oBAMqFmTMOb1EzDgDpVjMSALKGAGsFgEKYxAGgllnBdg5tI26GAtCXAKAVQoCFhZ3UKgAnrjmGiWucauyetYuC+DfhMAMAhoxYjev3nygOSPJ+kCdTGlGFW1IUhoBh2mFXANiqYgFMdZPWx0wAeO3eY4RKFIAsAFCTApADQMU5wht4zwIcAHrP9la6MweAVvKGH/XF33IASl/wOlUNwIB69JdBo4aBtA+f1C2O96sVMup2ul2XNQSYVvVQDs6oUQDS8sVNfzsEdUs5Q3w8BYBMRUAYQ4D1AIC0HIBGAcDf9p7Hhz/tlR0rQgUgDQBu7VcDuTOlUT3WFu08i76sIcA1CmPSOnEVaOEN7QQAS+bJiKU9jK0C7KsKQBKOXnfiZtVjTahisRIAnNq6PLraKASYNg971CiMWZtPqw4Blgs9dBcSKRwYWhWA+4dGI3ioWB3bsmJ+jGnMqABsUhrNKzirAGtRAJqRA1ArAKTlRyRVk9OmTO54XjMAIKsCkADAb7ecxj+nb4jWCzmllV4AkITBVy2SXfUaJXeC0SHASgBQz/yoV+8+RoVR4hBgDgCdnucKQN2mjE9ciANAn3CT4Z3kANBwE/Mb0Czgb1WApS94HSMCMFDma7BRI8YfAaAeIcDKAPAuak2QDw1UUgDqCQCHNghC2/CAxCHEurEQ9pEGAE+NjkVgf7YQ4APnb6P+12w5AJUA4LIeVRGURz4E2AoAUG6MaZnHpKJojozeywHIAaC81wiMjvlKPQA8OrIuUiVP5rgwB4BaZgXbOVYCgIPrB6F9hPp1OG5ItEt4vDRawG0IsI0BIA3Ar+0VhULZ0zsGyI5/b6CZRUKAyQfCr9Yex+GLd3waALoLeX+n8usY3rCU7LsGqQLsaQiwngDwyt1HqDhqrcgf0gI7tJVGKQSYtu7oXYyFbQWUb8VDgD21oHXPJ3ndkyYFMqROwdxJDgCZTWXrhhwA2tq91n04DgC9DwA/jSkOEhJk9cMTBaAcnPmuXQW0+26H6NHlcgDSAWB51C2V23H+iSueAUCmEGBGBaAeAJAWAqwnABTmRFMDAK2qAKSNJa1zyi8A4IOnKDPc93IAEhgdO0k9ADwyoi5Sp+AAUOucYD2PttZrVQDK5R5jVQBqBoCDo13mhp4A0AohwMLCTrT8unL+9jUASMKVj1y669MAMNjNe4cSAGSZt2YqAGkAsFlIPowXVNjmAJDFa7yNVSwwZf0JfL7qKFImS4qxTYLRqFw+pq5xAMhkJts34gDQ9i625gNyAOh9ANgvpjje4wAwcYJ82aIM9Q+oEgA8fvkuarupDmqmAnBIgyC081ABqAUAbupTHQWypnXYUkkBSGBi0qRJHG19AQB+UKMwvnYTAvxd2wpoN0cMk7WuuhwA0i1nZA5A1irAS3tEuK1uLedzYZgiVwBqnRnK55kBAFmLgGgFgHsG1Ua5EatFD0tUVKSARMLhTgH4WZNgtKhQwNHUqiHA/gEAyztyFZoNAEkezMii+oUAGw0Af+sWjoZT5IuACNXTyiuA+xZX7jxCxdFiBSAHgE6b8RBgT0eX+ecT5Z/wQ2rypElAPlwlSeJ8t3Z3cACoZCH/+J0DQP/ws+WekrYAjVl+GDM2npLtq9X+SKkJr7RiCLDdAOC5mw8Q8Zm46qFcfjaaaksOAC7eeRZ9JPnipr/9SgHIASCgBgAK1TWeAsC/P62BPK9pyAG44yz6/rKPaV00EwD+078mcto9BNhHFYBaAeCBYXWQPpUzTxkNAOq5ySX3YP27NKVVeXSbv5tpDvhCI9qaTubuNxpyAHpLAbhrYC2ESAoVvF2pAEa+qR4Anrn+AJHj1VUBNiMHoFEAcPvpG2g+wxpVgOXmi9E5ADkAlF+pLt95hDADACDtw8O8DmGIKJLNMsvm9I0nMZZXAbaMP/ToyOpDl9Hph52iSwmjDTgA1MPK9r4GB4D29q9ln44DQO8rAPvHFkfnSPuEANMAoJoQYK0A8Njlu4i2uQKQVDIt5CYHoBoAKAQeSgCQQJeSeTI51jFaCLAVAODsd0PR4Xvxi5jWhdcfAOCtB09QdrhY5aRkr8I50mNNzyilZpp+Z1UA/vlBhNvclnI33zc0Ghlf5udZdfASOs/dJWrKAaAmt7mcRFPiagWAcrnHjA4B3jmwlkulUj0BoBVCgIWFndSEANNycApzAPoqAHzx4gUC+snn11UzOzgAlLfWpduPUGmMWAHYPDQfxjUt49bESjkAOQBUM0J5W70ssO7IZbSfI37vJIWS0r382MgBoF6Wtu91OAC0r28t/WT+DgA7RASAVAo085AqQwbElkCnyEAzu6DpXqw5AFUBQErYphoAOK11ecQEO3MAmgIAh67E3UfPFO2nNfRMqEygARE9AeDh4XWRJqUzJ5ovAMDu1Qtj8nr5KsD+DAAD+i3Fixfyw5KmeNECAK0QAqwVAO4dXBuvpU3pMBIHgIpLmOYGZgBAo0OAtw+o6VKooE2l1zHiTfliC0KDjW0cjLcqOkOAraoAFAJAWnoNuQFgBQAYMmI1rt9/onmM0tZDPQEgiXiIslEIMKuiicUhNADYIjQ/Pmv6qsI27TocALJYl7cx2wIbjl5BW0kec+HHRg4AzfaI792PA0Df85kteswBIAeArANZCgArFMyMxV2quJxuFABctPMs+kpCgIUA8Oilu6gz0RpVgH0BAAq/Uv5vz3l8tHCv7FCwggLQnwBgqbwZ8ecHVVmnJvwJAP7RPQINJstXt5YzmhAAWikEeHKrcug+fw+zr63ekAYAydydveU0Hj6NV9V9OQWg0QCQKIClYYpqii0IAeB/1+8javwG0XNLK85L/7aaEQJsFAD859R1tJi5TZWf5RrLheqWH7EaN/wJALr58KhmXMrZ+X/dwvGmmxyAegLAi7cfovKYdaKucAWg0xxWS6+kyyS2+UU2H7+KNrO3i55S+K7BAaDNB4AOj8cBoA5G5JdQbwEqAFx2GDM2+UcOQCsoAAfWK4GOVX1PAUhGW+fIQJAX0HyZnYUnyEFLei4bAkxRAE5oXgaNy7tW0fIlAEhUpWRsJRys+cCEL4C9F8eBKDOEx4lRMSg8YLnsRN/Ypxpez5rO8btSERDhV0olAEhUV6XyyocA//VpDeTVkANw4Y4z+OSX/UwLl5kAcFu/msiVKTVTv/RoJB0fagFgYL+leG6CAtAKIcBaASAp7JA5nVMBSAOAem5yyT1Y57zdAOC3bUNdQqK0AkC5sGyjASCZ/9IwxXcrv45hDdUrAGkA0AohwKSadlCejI75oKcCkANAwNcUgN4GgHooAGm5R+d2qIiqRfQrxuLp3/ppG07isxVHZC/DAaCnFjb//L9PXkOrWf+IbkxyyGZNn0qxM7wIiKKJ/KIBB4B+4WbrPSQHgN5XAPoyACQjOlv6lNjaryZSJEvqVQB45NId1J24mfnlSrpBl6oyaBdyV41P2F4rADw9JjaxehgtBFgNANx/7rZbpVTckGhkSpPC0W1fAIDdqhfClPUnZf37zTuh6ChJxqx1xfU1AEjyQsa7IYC0jcXN+09cKp0q2csKAPD37uF4Y7J8xUq5ZxACQFoIMAeASt5n+50Wiu9rAHBrvxouKqW2VQpi6BslE43gDvCOaRyMli9DgLUAwJDXM+OX913V9SweYAXPHACKrfn8+QsEusmvy2L7hDbkg2e1YjnUnOK2rbv3DjWh6XI34QBQN1e5vRAHgObY2cy70D54kBQSOTIof0DmANBMT1n3XhwAWtc3tu4ZB4AcALIOcHcbC6FqT40CkKYWUaMAnNq6PGJf5gA0BQAy5gD0NQD4655z+HhhnOxQsIICUAkAznon1KUaG+vYlrbzNgAMzpsJf3wQwdx9fwKAv3ULR0M34WpyRts9qDayvFQAcgDIPLRUN6QBQDJ3v93yr+oQYE8VgEMaBKFduHolNlE0h48VhylqBYD/XruPap+LQ4CtpgBcvPMs+kjSa8g5npYDcF2vKARmT+84xVcVgBwAyn9U0fPjCC0EmCsAnbONKwBV/7nx+gk7/r2BZtPFVc9Z3x85APS6+yzRAQ4ALeEG/+sEbQEavewwZvIQYMMGgxSk+boCkBjqo1pF8FGtog6bGQYAd5xF31/2ifwiBICHL95BzFfWUABKfcqqyhAqAGkhwMdHxaCImxDgDb2roWA2ZwiwGgWgGgBIKxiiNQT4p+1n8OkSthBgMwEgUQDlzpTGsDVAemHp+FALAAv3X4ZnfqIAVFKr+BoA/LplOXywwD45AGlKXK0AUA48sIYAawWAm/tWR9Vx60VDqV14QQxpoF4BaFUAKMzrqicA3HbqOt7ywRyAlgaANsoBeOHWQ1SRwHVdACAlnYze1Zg9fSHgCkBPLWi983f9dxNNpv0t6hjr+zAHgNbzpzd6xAGgN6zO7wkOAL2vAJSqxaw6LN1BrA9rFsHHtfUBgF80K4MmIZQcgH4AAE+NjkXSpEkcQ8CXAOCWT6qL8kCyjmE1ALBrtUKYukE+BHhmmxB0nruL9dZu23kbAKrNAVhkwDI8jZdPAkhTFpAk+iSZvprDCiHAv3atgkZTxS/cLM9gVQUgB4Dy3rMSAGwfHoDBDYISO+vu7+HoRsFoFeasAqwFAJoRAswBoHjc6QkAST666j4UAqy0ph4eXhdpUiZjWWYV23AAyHMAKg4SH2qw9+wtlwI65ANS/iyv8qLLPQ4HgD7kaAO7ygGggcbll5a3AAeA3geApGIsURf8+M8ZLD9wEaXzveZQ1KVKrs8Ll17j3+oA8NCFO4id5NsKQD0B4L5zt9zmSosbHI1MaZ05AJfsPoeei7SHAFsBAM5oE4L3OACkTncOAAFhYm4rhQDbDQDSQvGJAvC7v/7FgyfqqgB7CwCSYkrSyr0dIwIwsL4+AFCpCrCvAcC1vaJQ6GUIsK8qAEkOVZJKQY+DA0B5K3IAyAGgHnPMKteIO3vLJSUJB4BW8Y5v9IMDQN/wk+16SQOAo5YewqzNp2Wf1Wp5KljDK0m/pW2tUAWYAEBSjU8YNmPFsGAjACAtX5QaBeCUVuVRr3Rux1j1GABGBqJfbAm3c5y1CIjWEGAlAHhsZAyKDpSvAiwMATYKANJCgO0GAP/+tAbyaKhqrPUPhKchwEUHLMeT+Oeq1mwtCsAiOdJjdc8orY/p9jxa0RvaCUu6VkFjDQpAqwLASS3LoYeNQoBpSlyi3iUA8OFT3wCA63tXQ3VJ3r5OVQMwoJ56AHj62n2Xa1kBAArzui7aeRZ9PcgBKASAW09eR8tZ23RZI+TeNYlymaxfWg/adc0AgI+fxaP34n34I+4CgnJnxMx3QpiU88FuQoD1KAJiBwUgLZ+01UKAp244gXErjqr6O611jPPzzLEAVwCaY2c734UDQDt718LP5u8AUBrWY4arpJt9kqdo7rb/cOrqfdHtfQm09qhZBD01hACrAYALd5zBJ7+I88UJAeDBC7dRb9IW5pcrlyrAHADK2u6P7hEIzpfJ8bueAHDB9jPox5gD8P1qhUBy6Mgd098OQZd5+oQAcwBIt7KRIcA9F+3Fkt3nFZdgUh1VmnNH8SQAOwfWQrb0qRxNaQpAPcPcyD1YP0xxACjvPW8pAElRixpfbBR1TA0AHNWoFFqHve44nwYAlYqAmKEA1BMACouAcAAIyCkAVx68JFKpS/NKys0EbwPAQ8PrIG3K5CzLrGKb87ceuhTY0SMHIA0Aft++IqKKZlfsk1kNOAA0y9Lm3YcGADf1qY4CWXkIsHle8O07cQDo2/7z2d5zACjO62OGI2kAcMyyIy4KHl8FgGeuP0DkeHEC9TntKqDtdztczMsBoNgkJ0fHIpmbHIBKCkCiXAl4WQREjQLwl13n0GuxfAiwEgBkDXmQDgB9AWB5dJm3W5cp7HMAcOByPHmmTgF4/d5jhIxco8pe1gCAldFkmrjqHstDCAHg6kOXXSpGcwDIYkXlNnoqAOV8YnQRkDU9o1BrghgAvif5QOQO8CoBQLspADkAFM+L79pWQPXiOVwmC025yPKe5y7ywAwFIAeAyuseSwsOAFms5FttaCHAHAD6lg+93VsOAL3tAT+9Pw0AjvzzEL7Z4h8hwFZQAA5tEIRRyw67JPFneTE0c9i62/AIFYCeAsDPm5VBU0oRECUF4IHzt1H/a99WAAoBYJ/FcVi865zIxUdH1kWxgStk3a4GAO4dXBuvpU3puJYaAPh73AWXkEUOAD2bidK5VTpfJvzePYL5osUGLsdjEwCgFUKAf+5SGU2nqweAOwbUQvYMTgWglQDgV2+VxYc/7WX2tdUb0nJxEvXuHA0hwN4CgP9n77zjoyjeMP5IrwLSLPTeQgi9hpJQFekgVUBUmgoqSC+hKQgiKkWqgnREfiq99yq9Q+hICb2F0H6fuZC4ezd7M7O3t7d7N/sPn3Cz7Z3Z2d3vPs/7ruoeiurfbVSFmgXtlI2VADDy+n0XNSFrW3ZWAG49HYUWk3cYMkzNtAA/ffYcefpqp9cQOSG7AUBWWgUJAEV6X7utBIDGxNFKW6EBQJJDNnv6lMzDlEVAmCEKiAYSAAZEN1vvJCUA9L0C0C8AYLU8+LxGfscAFwGAU9qURIdfd6suDBEA+GOLELxT9E3H+hIAAkolBu3BRBloEQD4v64VHMVpyEKzAJsBAIltbuIGdxZg4xSAW3pVw1s+zAEYiACQ1wLsLQBo5EsuuU54LcD+BgBpVny7AcCV3UNRwwMAOLR+EbQqG2sBpgFAO1uAl35ayaXYlvK+IwEgoAUASwxZhRtOuQt5PvR62wLMAoCHB9dEyqTWtgDT3CTEeVLFwGrMnr7BSQDoaQStt74EgNbrE7sdkQSAdusxPzleCQB9DwAHv1sYw/4+am8LsAkAcO7O8+jllC/OqgCwb52C+DA0V/wswQsDTg2rjUQJEzjW+3LBfiwUVADqBYBkP2R/Wou3AODsHefRZ7E6r6PWMbAA4ISWxdHpN2MswHYDgKQwjKgFOOr+Y5QUtAB7UwHICwAXdCyHJjoUgDv7hiFT6mSO4UVTAEoAaMxDjZEAUKtPeC3A5ONa2wo5hefhFd1CUXOsWgFIIOZXtQpwbYsFAC2nANx1AT0XHeAaABIAssNE8tFVK5DZpWHJoasQdV9dvEQCQKBpySwY2TjYbWC/XXEcP647pdlGAkD2uJQtjI8ALQegVAAaH2d/3qIEgP7cuxY+t0AHgLxJmI3qwhcvXiBn76WqzUXUK4whfx2xtwVYAQDP3XiAyqPWq85RKwegiAJQAkCAJMUv0J/PAiyiAPQHADi+ZXF0lgCQOlXRXjKtBgB5qwDP/7gcmk4StwBLAGjUXcz9dia2clXiEnj/y1bxKsCeAkBSYKudDgC47LNKqP39JtWJkkrGPXUAwNPX7yPMqaCIFQCgMq/rfCMB4KkotJgS2BZgMwFgq7LZMLR+EBeY1rpyzVQAXrz1EBW/UeeI5gGAo1Ycw0/rtB0AEgCaM7/LvagjQAOA67+sghwvc3G7i5e0AMvRRCIgAaAcBz6JAG0CIjBqaoDkADQbAD5//gK5+kgAGDfYjQSABy/eQd0frZED0AgFIC0HIAsAiigA9/avjnQpY3MA2gEAkpfmSRsiNedJIwHg5q+qIks6dhU3oyZtT3MABpICcN5HZdHs5+3Cod/ZJwyZXpUKQOHACa5AU+ISAPjrtrN4GPNMaGta1kNeBaBeAPj3pxVdKsqLAMAh9YuAFGcgCw0AsizAJbOnw8JO5YViFdeYV20uAaA6vE+ePUdeg3IAagPA1SAfXpSLpwpAMwDgocE1kcogCzANABpRBZj2LKlVjVnXhWXAStICrB1EIo6Yu+sC/th7CQXfeNWhtk6eJKEBUffuJmgf2iUA9G7M/W3rEgD6W4/a5HxoADDizyOYtkUWAfFGFz57/gK5nQDgkHqFEWFzBeAn1fLgi5c5AEUUgJPblHSpxjmqcVE0KZnVJfw0BeAPzUNQNzg2B6AEgOocgLQvk8qgigDAJV0qIDir8TkAf9txDn0XH+K61FgA8KcWxdFltjEWYAkA6V1iBQuwtwCgkXmuSPR4QYy/5QDUAoB6FICeAkC9FuC/PqnoUlCqS9Xc6FGTzwLMAoAsBaCVASBNHanKAWhTBaCRAJCo0cIK0izA1gSAizqVR6MJWzXvw1YAgCwLsASAXI9Rlm3k/Lz6RfV8+CQsr2WPN+7AaM/ZymJ87k5AKgAt372mHKAEgKaEWe7EOQKBDgDNVgBSAWD9Ioj487CtLcBmAMA5O8+jt1MOQCUAPHDxNt79cYvmRe78pd35Bf3j0FzoXaeg20kiaOAK3Hv8lDmR9KlTAB+F5o5vxwsDTg6rjcQvcwB6qgAUAYALdl9Aj4XaOaDsAABJPsius/cy+4anQSAAwOv3HqPUsNU84Yhv400AyGsBnvtRWbynQwG4o08YMr9UAK4+ctWl+JAEgEJDQbMxTYmr1wLsDwDw1LX7CB+zQRUvKwBAZV7XebvO46tFfLlYWTkAt5yKQksvW4BDIlbi1sMnugcsTXUnAaA2ADw4qAZSJ0usO97KFaUC8Dj3M6ohAbfJRur/tAXkmVW58KhjfX16EgD6ugfsv38JAO3fh7Y8AwkAc2Bg3cKm9d3TZ8+Rx8lmQtQCZgPACzcfYuPJ6yj8ZhoUe6nsYgXBHcRSAsCzUQ9Q5Vu+HIAiCkAJANk5ANd8URm5M6ZydKWZAHBjj6rIll7cMiukAAzNhUkbtS3A/gQAg7OkwZKuFVmXZPzv+foucykixHqQthoA5C0CMufDsmg+WdwCrASAtCIgvgKAY5sVQ7d5+7j72uoNaQCQAK9ft57DoydiFmAt5RGvBdhnCsB6hdG6XA5HV9EAoBUswBIAqq8kUkSJpFIwYtFSAJIPLmTeZc3NzsdQdNAK3I2mf3g0wgLMUgAaCQDJs2elkeocgNICHNvjdgBeRlwftG2UGb4aV++KXxveOh7e7dIswFIByBs92Y5EQAJAOQ58EgEJAM0FgLSvzGYDQPIARhKc33/8FAleAaa2LYWq+TMxx587ANi1ah58WTN/7EOMjwAgq+hFICgAvQUA/+hSIR4UL9l3CZ/NVQMLKwBAogb9ZI4xCsBNPasi62viQJN5EWk0cL62JADUjuTsD8ugxWTxIgPbe4fh9TTaOQCNtLmRo+dV/X7XLBjd52lX4NY7pny1Hs2KbzcASPLjOeeTFbIAMwCgFRSASlW33RSAxYesws0H6mq6IuOdBlqMBIDEjhpeyNUCXHrYalzTAQCDBq3AvQAHgCwLMO1j8nTybFuA/WwrMnY8aStzAGpHz58AoDIlgrvxIi3AnlxN/rOuBID+05e2OhNZBMRcAEh7yBxavwgGm2gBdrbaZUiVFLv7hTPHrScAkCRjbjd9l8s+fm5dAh/N3KP6/5GNi6IpJQcgSwHoKQBMnPAVDKlXBI1LZEGilzZc5wP2tgX4xNDaSJIogWO3eizASgC49/wtNBivbev5p391vPayCMj83RfQ040F2FsAcNb2c+j3B2cOQIYCcFzzEHwaqACw3zKQuUVrob3wXrsXjdLD1jCve2UDb1qAeRWAszuU0VVlVAkAaRZgCQCFhoJmY5oS11cAcPC7hfF++VglngiUJeo453QS+gHgPYSP2aiKl78BQKXixa4WYDMAoF7I4WsAeGBQDbxqkAVYrwLQbgCQ5MImym7yQbxNuRzoFp4XEzdE4pvlx4Tu08bMytbfStnha3DlbrTqQO2giKS9d0gAaP3xZqUjlADQSr0RQMciFYDmAsDHT58hf7/lqhE2rEERDPqfeTkAaRVDeSqIX3kAACAASURBVG60vgaAs3ecR5/F6jxFBPq8+7IICMvyylIAxnVK05JZMLJxMHUW4AWAvWsXwMeVxXMAKgFgz4X7MX/3RdVxHI2ohYID1ONH2cCfAeBHobnwsxsLsF8BwKxpQRQ6vIseC7AeAJgvcyqs7F6Z97CE2gUqABzTNBifz/cfBSAVAIbmwq/bxC3AWtZDb1uAPQWAEfUKO176yXLqmisAtIIFWKkApBXY0rp4aTkAlQBw88kotJoqrtCl7U/rucQbOQADGwCWQ6MJ2zTnawkAhW5ljsYfz9yNFYevxq+4oGM57Dp7EyOXyxyAtGjaFQDS3jskABS/XgJ5DQkAA7n3fXjugQ4A25bPgUHvmpcDMPrJMxTo7woABy45jKfPX5jy9YsGC4wEgGeiHqAqZw5AEQWgWQCQdIJWPMwEgDQFoFUB4IYeVZA9fUrhmUxEAcgCgKR6tLtCJiIHFwgWYD0A0AoKwN86lNFVZGBb72p4I01yxzCwkgJwdJNgfLFAAkDa9ekrAEjgWL2f1AWlRBSALABoBQWgUtUtASBA+zgrcs9QtiV21OoUC7BeBaD3cwD6FgC6++gaF1eWApD2LDmtbUlUK+BqxdbbryLr0T6Y96yVXwJAjSD6EwBUfoh3N2akBVjkivLfthIA+m/fWvrMAt0CbAUAOLxBEAYsOSQB4MsrRcsCzAKALMsrrwLQzgBw9eeVkSdTbBEQVjxUFuBdF9BzkXYV4MWdyyMkWzrHdmk5AK0AAI2caCUApEfTCgBw1gdldCmMWADQyET3JHq8OQD9DQDScnGSCuszt5/DwxixIiCeAkC9FmAjAeDJq/dQ/TvrWYDtDAC9kQPQDACoF3K4swC3LJMNwxoExU/YvPOOcoZf1Mk9ANw/sAbSJDemCjDNAhwoAPCrWgWkBdjPACDNAiwBoJFP4/6/LQkA/b+PLXmGgQ4A21Uw1wJMUwCOaBiE/n+YBwDz9l2KJ8/E1YbuHiyV6giaAlArB+Ck1iXwMWcOwEAAgMeH1kLSRAkdcwXNAnwkoiYKDVihOZcoAeA/52+hoZscgHv6hSN9qqSObc33EQAkUICMfZ7lw0o5MXnTGZ6mHrfxOQA0wwJ8Nxqlh4vlALSCBXjmB6XReupO4T7e2qsa3kyrrQD0FQD8tkkwvvQjBSDNik/UuzN1WIC1rIe8FmC9AJDAsfoGKQBpAJBlAS6VIx0WdCwvPMZFwLO3AOCmk9d1XZ+0kzXTAiwBoLYF2NsAkKcKsD8oACUA1J7S9MJxXZOkgSvRAKDyOdzdrqQC0MCOsPGmJAC0cefZ+dADHQCarQB8FPPMJYeb2QAwT5+lutSGpgHARkXRtFRWl8vqtx3n0HexGhZ9/14x1Cv2lqMtC3iZqQDsVbsAyEte3ML7Vd5TAEjURIXfehUFXn+VGQ8JALVnbgkA6bGRAJD/bs97zRtpXec/Ou+1JIqk33acV+0g0ACgEjzqUQCaAQCVqm5agS2tEcLKASgBIEDsqDUKv+4SwnIj1uDfO+KFDtxZgP1BAegtADj1/ZIIKygtwN6b7Y3bsgSAF5AlSxbjAiq3ZJsISABom67yrwOVANDcHIAPY566KLj8DQBGXr+PaqM3qC6UGe1KoS2lCjBVAehnAPDFixfI2Xsp18ThKQCM2wn50lwm12vcCsB5u87jq0XqAivKA/69c3kUd2MBXv9lFeTIIJ4D0KoKwI09qiJb+hRcfWZEI2dYFCyoAKSpepXHRa0CrEMBmO21FJj7UVlkSp1Us1K23njwFgH5tX1ptJkmrgDc0qsa3nKjADQy0T2JQaACQFr/6wWAWsojbysACRxzrqAukgNQCQBPXL2HGoIWYAkAY0eRlgLQGxZgmjtD71ymBQDLj1iDyxYEgAs7lkPjiW4UgANqIE0Ka1uAac+SEgDqHcHmrycBoASA5o86a+xRAkBr9EPAHYUEgOYCwAePn6LwQLWF8+uGQehnogU4d5+leKaj4AivApAGAEmlY2f1HrnYjASAe87dQqMJWzWvYU8VgLcexCBkyCquOUKpABQBgMeG1EKyxNoW4MODa7qMH60DWtSpvNt4KBWAEgCqoxgIAPDq3WiUEbQAx0UpJFtazGhX2rC8UGS7vADwl/al8b6HAHDN0av44Jfdqk73FQAkOU97LtTOv8k14Vi8kd0AIPng4Zw+QQLA2EHmTgF46NIdLNxzETO2njVkRJppAbYyAPR2DkAzAeD5Gw8ROmqdanwYkQPQDgBQWoC1pwW96lhDJhoPNkK3AIciT6bUzK1KCzAzRAHRQALAgOhm652kBIDmAsD7j5+CqBeUyzeNghxwzKwqwLl6/w0n/qf5pV15nO4AYOcqudGzVgFHcxoA1Br5E1uVQMdZe1Q/j9RQANIqxiotwN4EgAt2X3D0Ucyz51wXsRUAIOuhfne/cGR4mQPQZwBw21n0X3KYK6YdKubElM3m5AD0NQAsljUtSI4u3oVW2Vu5Lu1F2hMASLbd7+2C6FApF+8hMtvxAkAtNTFrB5u/qoos6WJVnZYCgI2Kui3AwzovO/xO8ncSW7BoERBfKQA9BYCD6hZC2wo5HV1jVQWgUtUtYgH++9OKeHvcZtWwW/dlFeyIvIHeiw/ihTq9sEfD064AkMComhQLsF4FoL8DQCMswEYAwJinzzF+/Skcv3IPjUtk8cg+LKsAi136/qUAlABQrPcDu7UEgIHd/z47ewkAzQWA96KfIGjQSgkAX0bAWAB4E40maNtYRBSAZ0bUwSuvvOI4ShEFX1zHki+9narE5gB8/vwFcvXhswAbqQAUAYBzd55Hr999YAG2KADUW9VY70TuCwuwpwCQnKvWC7qeOPACQK2CQqx9KgHg6iNX0eFXiygAAwQAztp+Ho+eiFUB3q9hPfS2BZimnhZRACoBIIEJNcc6VQEOzYXedQrGD1nn698MC7DRALDqt+tZl6Dw7/4GACt8vRaXbj9SxYFnDvV2DkDWs8K+AdWRNkUS4f6jrUBTABoBAGnPklPalER4If4cgN+vPonvVp+IP+y1X1RGroypdJ23BIBiYbMrANx34bZLwajVn0sAKNb7gd1aAsDA7n+fnb0EgOYCwLvRT1DUCQASxVufxQf9RgF4+vp9hDnlANQa4LSHNqKIbFYqm8sqbAWgdwDgk2fPkbfvMqFr1AgA+NXCA5i3+4Jqv4cG13RRkGod2IKO5dDETV4fpQKQBQDJC3GJ7Okcu1qy7xI+m7tPtVuiAMmpJwegBICOOEoACHw+bx9+33uJeZ3pBYDKwi40AGhkpUtan2qdGJnv3OXfZAbEBg2IAtBeALCcy8ckfwaAs3ecdzyD8CxaCkAJAP+LnpYC0KoAkPWs4G0AaIQF2AgA6Hwfrl4oMya3KclzWbi0oQFAaQHWDqVdLcA0ALiqeyjyZpYWYF0XTgCuJAFgAHa6FU5ZAkBzAeCdR08QPFitACQ5oPr8bh4A9EYVYKJ2Iw83ZPEVANx99qbbRNYiCsDI4XWQIEGsAtBTAEjyLZK8izwLSwHobwDw121nMcCCFmBfKwBFLcCsIiCzPyyD8rkzqIbglTvRKDtiDc+w1GzDo17h3QE3AGxbCu1m7OLdbHw7JQCkWYAlABQOKfcKxL4/e6cOC7CGAjBo4Arce/yUuX9lMQ4RKLuok2cAcGDdQmj30gJspgJQ5F6l/KgjASBgZA5AAqNqFXGtAiwBIOCtHIDeAICk2NXOvuHMeYbWQAJAsbDZFQDScgBKACjW94HeWgLAQB8BPjp/CQCtAQB7/35QV2EOPcMmX79lILlOlAvPi7y7HID6AWBxdJz1j+pYtBSAtIqxyhyAEgCqR8P8j8uh6SRtS/SuvuHImDqpYyVWDihvKQBFAOAHFXNiqkk5APVWNWZdj8ROThLkL9h9Efkyp8Lgd4s4qis6X1tGA0ByXAPeKYT2FWPzkpHFrgBwWtuSaD9Dbd9lxZ38blUASIpAubPf85yb1dsQAEhyAIpagLWUR963ABsHAI9duYtaYzepuogUReljsAV4yqZIjFpxHI+d7u1aY0MCQHVkzACAFb9Zi4u3rGcBZikA9/avjnQpjbEAn7vxAJVHqe3ixigAXZ8liXqPqPh4F+f7sASAvJHzvJ0/AcCV3UORTyoAPR8UAbIFCQADpKOtdpo0ADj0ryNuk+3zwCIzz9MdmHKGXM5t25Y3GQA+fILgCFcFoJkAMH+/ZS4vCTx9akUAOLZZMdQPecvRzbvO3nRreRVRAJ4eXgcJfawApFmADw6q4ZJDUutam/dRWTT7ebvmpSgGAMuhRPbXHNsy0gIcaADw4MU7qPvjfwn0P66cC71rFzQFAJK+U14DVgOA3eftw2IOC/DU90u6VPDlud9YFQCOaBgEMv/78+IrAKjMxUfiy/usQMuJJmIBVioAzQCAl28/QqWR61w+IrobU0YCQPLBpIrMARgfbi0FYKWRa3HhprEAsEWZbBjeICh+37xjXDk2fA0AjckBaDwAfCttcmzpVU3X1CwVgGJhkwDwArJkySIWNNnaLyIgAaBfdKP9TkIqAM0FgLcfxqBYxCrVQBnVuKjjBdCsKsAF+y93UWJ4CgA7Vs4NUvmWLKeu3Uf4mA1cF8PEVp4pAK0KAHvWyo/OVfI4YvD02XPk4cwheDSiFpInSehYz04AUG+y7EADgESRufPMTdW1Qa4955eFkGxpsbgzfxVgmq2fdgEqr/N/7zxCuRFrua5TrUY88wbvDngBIEns7lzAg2cfTACoYTfl2TatDe+LeCAAQKLeJTZTUQWglvKIVwGoFwDSgIgIAFSqbc0AgGNWncC4NSeFhiqxOcd91PltxzlHlXuexV9zAD6KeYaCA5bzhIDZRgJA7RDpVQCOWnEMP607rblh2rOkpwrAbK+lwMaeVZn9zTv/yxyA2qHUWyFbV+cYuBItB6BUABoY4ADYlASAAdDJVjxFCQDNBYC3HsQgZIgaAH7bJBhfLTpgmgW48IDleBCjrsbI8yLv7oXWSABILHHvlXYtAkKzACsBIAEr7iyvIgrAU8NqI1HCBI5LViSvUtw1bgQA7LlwP+bvvqiaNkQUgHM/Kov3TFIA6gWAv2w9i4H/O8w1NfqDBbj6mA04ee2+BICUHvc2ANzYoyqypU/h2DM1B6CPACBR7/AWYOC6UCzYKJAB4NF/76L292oLcK3Cr+PrRkHxlVU9rQI8cvkxjF+vDUdoQ0ICQHVUjAWAxVGryBsuYbeqApCVLuSf/tXxmo8twHoA4M+tS6BGYddcjFpTpPN1mCtjSqz9ooquGVUqAMXC5k8AcEW3UOR/XRYBERsBgdtaAsDA7Xufnrm0AJsLAG8+iEFxHwNAWgJ1XwHACS2Lo9Nv6hyAmgCQUjHWWwDw5LDaSCwBYPzcRCxxJXNoW4DNAIDtK+TEtC1nTJkv9VY1Zh1cje824MRVNgAk2yHqA5LjMiRbbPVldwurCEjculZWAHabuxd/7LvMOlVHVcYPfxXPAWhVADisQRFu9RUzOBZtQAAgyTP60OnDE+twfaUApAERUsm4e/V8SJEkkeOw3X0QUyoAaQCQrJ86WSIQpViFPBlctlUqRzos6FieFZ743yUA5A6VoyHteccMABg6ch3O33yoOlieZ6+ig1bgbjS96I0RFmAzAeDZqAcudnGeHIAsAEh7lvQUAObNlAqrPq8sNrhetpYAUCxsEgBKC7DYiPGf1hIA+k9f2upMJAA0FwDeuP8YJYauVo2R0U2C0dNEBSDtYZLnIZRHAUiKHBALcPXvNnJdB54CwO+aBaNBSGzejB2RN9zmvBNRABoJAEUUhCwL8IFBNVB0kDqHpFag53xYFs0na+cA3Nk3DJlSJ3OszqoCyQKAa76ojNwZU3H1ubKRiALQ7gBw/fFraDvdtXotzQIcF6PSOV8DeTljLf5gAeYFgOSl7qOZe1ghcfldWdmZpgDUKjghvCM3L4C0bQUKANRjAdZSHvFagJW5+FjQTtk3WvlTX3kF+KRqHnxeI79bANj/nUIg0JMsWgCQ/JYrQ0qs/bKKy7Z4r/u4Y9YDAJVzurQAA2YAwMqj1uHcDQkAnfNF8uQA9AUAzJMpFVZLAKj3Fii0nl0B4N7zt9Bg/FbVuS7vVgkFXn+Vef6092/mSrKB30VAAkC/61J7nJAEgOYCwKj7j1HSCQCOaRqMHgvNswAXi1iJ2w+fqAYoCwASsJez91LNQU2KGXSqnBudZv2DbZE3uAe/VQHgiaG1kSSRfgtwj5r50aVqbA5AEQB4JKJmvMKElgNQBADO/rAMWkzeodkXEgBqD1OjFYDLDv7ronSN27s7AEjasK5N0kYPACSFA8p/7ZscgHcePsHoVccd81DnqrkdD8ufzd2LJRwKwEmtS+BjDwHg2mNXXSoJSwDIPW0LNyTwnigARXMAWg0Axp341l7V3F47SgB45PJd1BmntgArA0i7/svkfA3zOMC/UQBw1vZz6PeH/hyA/lAE5GHMUxQasEJ4bNNWIM81tYNcLcB2BYB7+oUjfaqkhsSGpgDkAYAsyO0NBaAEgIZ0OddGJACUCkCugeKHjSQA9MNOtcMpBToAfL9cdgyuV8S0rrp+7zFKDVMrAM0GgMSCTKzIzi8h7oLAAwAzpkqKoX8fFYol7aGNJMVvTssBSLEAKxWA2yNvuM15J6IAVALAmKfPka/fMqHzUgJAkfUDDQDO2HIGg/48whVbMxWAei3NWieSr+8yxDx7Tv05EAFgx5l7sPzwFUc80iRPDFKRusfC/V4FgARS5MiQ0rFPKwHAofWLcMMXrgvFgo3ItTt3l7gFWAsA0tJY0E7baAVg3D561y6AEcuOaUbaUwBYNtdrmPsRW/kbdwDfLD+GCYI5AJUKQE8BIPlgUtXmVYDNAIBVRq3DWR0KwODBK3HnkfqjbVzfm2EB9jYA5LEAswDg+JbF0dkpnQz5WFTTgxyAEgCadzOp8PVaXLotXiHbvCOk70kqAH3dA/bfvwSA9u9DW56BBICBBwCJApEoEY0GgJM2RApfA7SHNi0ASKsY6y0AeHxoLSRNFFuNVwTgxQXAWwBw/8AaIC8DPIuRCkBSFbPUyxyAf+y9hG7z9qkOQa8FWAQAtquQA9O3nOU5dY/bGA0A3dnnAxEAOseD5Dpce+waFwAkedM6zhK3ACsBoJUswEPqF0F/TvWVxwPbRxvQqwDUAg+8FmBlLj5y6ryVmVkFlFgAsN/bBdGhUi5HtPUoAMvlSo85H5Xl7i09AFA5p0sACFgZAHo7B6CW5T1uAO7uF44MXlQAWhUA5s6YEmtkERDueciThnZVAP5z/hYaOlmAl31WCQXfkBZgT8ZDIK0rAWAg9baFzlUCQHMB4LV70Sg9bI1qBBCI9eUC8yzARIFIlIiGAsDQXJi00XwASNSTDYvH5gDcdvqG25x3IgpAXwHAw4NrImXS2CTzNAuwEADsUAYtprixAPcJQ6ZXY3MAsnJAsQAgyZNDvpaLLhIAxlp8WYCQFVc9FmDytZ18dfdk4bEn07bvfL5EMbX/wm38bz+7CMjEVsXRcZa6cBDPOSht3TQAqFVwgmfbPOeotZ1AAIAE3s/deUHYAuwrAMjKn9qnTgEMX6qtAFQCwMOX7+DtcZs1hxHt+i+fOz1mf2hNAPjXJxXxzg/q85EKQHX3kg+bdSgWYKKSPBP1QOjZizT2JwBIzt9ZLcoDAFmQ2xsKQAkA9d79xNeTAFBagMVHjX+sIQGgf/Sj7c5CAkCTAeDdaJQergaApJLt5/P34fkL9fDR+3LNGoRlhq/G1btiAPD58xfI1cdNDkA/A4DHhtRCssSxCsDHT58hf7/lrLCqflcqAEXWNxIA/tahDFp6AQAu2XcJn81VKwD1AsDpW85gMKcFWCoAtYdgIAFAWtoAnotTCQBpFmCfAcB6hdF/yWGeU7BtG6MBIK8FWK8C0NcAsEKe9PitAz8AZNkjaQNHrwKQBgCJYrra6A2Gj0+tZ6CQiJW45ZTHWGTntO0+ePwUhQcakwPQaADozgJM0qUQ10TcwqtyVcbLTAUgDQDy5ADUAwCJWrxWkde5h4Zz7CQA5A6dxw3tagHec+4WGk1QFwGRCkCPh0NAbUACwIDqbuucrASA5gLAq3ejUcbHAFDPlzZvAcCfWhRHl9lqNY+IBdhbCkArAMBeiw5g7q4Lqsli/4AaCI7gswDP+qAMWk01RgFIKtGSypRkoVmA/Q0A6rU0a83s7l7Kzoyo47bADvn9FVJ+1M0SSACQpvTguaMqbd1WAoAR9QpjgASA1C7Ush7yAkBlLj6yA144wkqf4G0FYMU8GTCrQxmeYe1oowcAKuf0mdvPcdvQ//60oouiUQJAdVdpAcBq365HpA4FoK8BIMnRmjG1MUVAvKUApD1LSgDIPYX4vKE/AcCln1ZCoTelBdjng8omByABoE06yt8OM9ABYJty2RFhYhGQK3eiUXaEWgFI8l91n2eeAlDPjdZMADi8QRBIYmvn5ZetZzHwf2qljD8DQKoFWAAAVsmfEeuPX9ecsnYKWICtAADbls+BGVvNyQFoJQB4engdJEzgHgDm7rMUz5wlxJSeVypfrGYB3nfhNv7ksAB7CwBqFZzQe8/nhU2BAADJtTt/9wU8jHkmFE6fAUBG+oS+dQpi2FLtgldKC/ChS3dcLLPKINAswJXyZsDMD6wJAGkKQDJfhkkFYHy3Ehj1dlHXKsB6AaA7C7AZCsBABYC5MqbEWpkDUGjO1ttYz3uJ3n0ZuR5NASgBoJER9v9tSQDo/31syTOUANBcAPjvnUcoN0Kdd0sCQLUCUAQAjm4SjEYlYnMAbj0dhRaTtRVvIjkAj0bUQvIkxliAo588Q4H+fBbiQ4NrIpW7HIACAJA14ezoE4bML3MAspLAEwBIHoaH/HWEWqhh9eehyJMpNWuXLr+LWIADFQAqK1JrBVgPALx46yEqfrNOuM+c4YWeDdByAPICQJrSg+cYlFB33bFraDdjl2o1XwHAwe8WdvmwwXM+dmpDrt15u8RzAGqBB68rAG0GAFn2SNpY0asAlACQfeXZDQCyit4YCQAjr993sYvz5AD8etkxTNxwWjP43lAASgDIHutGtbAvALyJRhO2uYShcYksIPf2uJzetDjR3r+Niqfcjn0iIAGgffrKr46UNgEN+/sIJm86o3me3spNpzewvEoL2pf298uZawG+fPsRyjsl3h/XPATd5u41LQdgxW/W4uKtR6pws/qUqIsIZNBaPgrNhZ91FAGhPbRZDQCKALy4+HxZIx+6Vsvr+FNkfSUApFmA9w2ojmIRq/ReKqr1RAEgKRSyZB+9SINeADht8xlE/HWE63zMBIB6Lc20E2GpZ1kWYCWMtjMAvP/4KYYvPYrT1+5jx5mbqlMhVk1eAPhjixB0nb2Xa8woGykBIM0C7CsAOKhuIQzizIMpfNIWWcFXAFCpxCOh4H1WmO0hACQKwQ9DY6sA61EAVs6XEb+0L83de3oAIMn7ViZXesc+RCzA/goAyfxEqksbsWgCwNHrEXldvAiIty3ALAC4s28YMqWOLRjm6UIDgDw5AFkAkHZfIAWjahVxVWJqnYPz/GA0AOxVuwDIeWgtrOdwT2Nv5fX9DQCSWBMA+H75HJphlwDQyiPSvGOTANC8WMs9KSIQ6ADQbAuwFQBgpZFrceGmNQAg7aHNCgDwSERNpEgSW41XBODFXVr+BgBZScLNAIBmTtxGAsCdZ26i6STXL8Rx5xM5vI7bAjsHB9VA6mSJ3Z6+HRSA7j4sEQC49/wt/HXgX2Y3/9A8BJ/MEQeAyj6VAJAZZkMb6LUAe6oA1AsAWQWUyHaH/q1tAfYUAJL0DTPamQgAt53lLkRDA4Dk2gofY+8iIEYCQPJc807RN12uoWoSAMJbCkA7AMCvahUAgfUSALpGwB8BIDlLd1BXAkBDHzNsuzEJAG3bdfY+cAkAzbUA0/Juma0AtCsAnLHljItSxlsWYF8BQCXssZICUAJA/fP8hhPX8f60nZobYAFAUvglTQrjAeCFmw9RaaR5FmB36isCVIgC0JcAcE+/cKRPZUyie9LZvGqzgXULcVfC1j8KfbumXgCopTwiSi0CbFiLXgDIKqAkAeBmVeglAFSPRAkAta9MvQBwxLKjmLQhUnPDXgGAGVJi7ZdVWNMM9Xfa/C8BoHYo7QoAd5+9icYTtT/wSgCo6/IJqJUkAAyo7rbOyQYSAKRZ7cxWANLybhFFy2cmWoBDR67D+ZsPVYOQZT3wlgWY9tA2rEERtCyT3eUiYQLAU1FoMcWYHICHB9eMz91hpgKQBQD39q+OkCHGW4BZFjAWAFzVPRR5M4vnABSxAJs5a+pVNNKOcf3xa2g7XZ1vTtmOBQB5wFSu3n+7pBCgHYvyOrcrACQfTD71UAFIywHIE2eRMcgLAAe8U4jbBi+yfyu1DTQASKoEfxSa29EFeizA1QpkwrS2pbi7UI8FmNg+y8ZZgD1WAIYifMxG7uPlbaj1XBISsRK3Hj7h3YxLO9p2fa0AvBf9BHcePcGbaZIjgVPRJ59bgBUFw3QH/eWKZgLACS2Lo3aQBxZggwGgtABLAKiMgFQAejqb+Mf6EgD6Rz/a7iwCCQDSXrTNBoC0l24CAD+duxcvXqiHDwvK6R1slUetw7kbxgLADyvldJs3UutYPQWA3zYJBkm2S5atFgKAX1TPh0/CYnMAPop5hoID+IqAmAkAt/cOw+tpYvP6sAAgK0eQXgA4dfMZR2ERqy1mAkBS5dddfk2e/Ev+AAD3XriNvzkswKRo0mdz9wkPGWWfSgAoHD6PVtCbA1Br7PMWAdGrAJz5QWm0nqqt2mUpAJUA8ODFO6j7o1oxpwwmLTdxWIFMmCoBoKZ9rljEStw2GAASABc0aKVH4zxuZfJMVzfY1QIcNno9TlNyAP5z/hY6/LIbNx/EgNi/J7cpicQJMvGAkQAAIABJREFUEziqopO8u6uPXtU8ruals2JEw6Lxv/N+eFBucM6HZdF88nbNfew0EACevn7fpWI0TxEQlgKQlhpCAkBDhrMpG7GrAnDX2ZtoIhWApowRf92JBID+2rMWPy8JAM21ANMAIIFgJKeVlQHg02fPkafvMs3RrBcA0h7aRBSA3gKAymIcehSAEgDyTXwSAAIsALitdzW8kSa524DqyQFoNQWgrwHg7n7hyOADCzDJf2hFCM53BfO1IsW25u++iEdPnvGt8LKVFnjwNgD8tX1ptHFj2/c2AAwvmAlT3udXALIKJNCCrlQA/rrtLAYsOczVN/QcgOYqAP0NADYcvwX/nL8dH/+JrUogS7rkeOcHbXAc1zhgAODSo5jkptAcDwAkH2MnrD+FGw9i8EHFnMiVMZVqzDvD05wZUmKdtABzzQueNtJTnNDTfRqxvgSARkQxsLchAWBg97/Pzj7QAWDrstkxpH4R0+J//sZDhI5S590iFeM+mfOPaVWAq4xah7OCCkArAMDpW8645MoyAwCKKPjiBpJeAHhgUA28+rLgQ+/fD2DOzguqsUkqlRY3yAIsFYDal72VFICbv6qKLOlSuJ2jAkkBOLZZMXSbJ64AVKpUaQpAXwFAFkwy7ebkxR0RALhgz0U8jDEXACqLcZDT41VHsQAgC9r2rl0AH1eOtQDrUQCGF8yMKe+X5O4RPQCQqL7K5Y6tAuwpACTXVvXv7G0B9qUC0HlclsyeDq+8Auw6e4s5BpqXzoYRDYPi2/GOceWGWQrAHX3CkPlVY6oA61YA6gCA41sWRx2FBfiL+fux6J+LjlNPlyIxdvQJR5JECTRjJwEgc/gZ1kACwAvIkiXWzSSXwIqABICB1d+WOdtAAoA0pY3ZAPDcjQeoPGq9qv/JQ0qX2f+YpgCs+u16nIl6oDoGlt2YBQA7VMyJKZvPCI9r2lfbofWLoFVZ1xyALAC45VQUWhqUA1BpxfUUAD6MeYpCA1ZwxcZnAJCRA4r1grCyeyjy6cgBOGVTpNtqmlxB80IjvZZm2qGwcgCeGlbbrbp2Q48qyJ4+pduz9AsAeP42/j7IrgIsAaAXBryXN6lXAagFHngVgHoB4C/tS7st3ONtAFi9UGaHDZR3CTQAaHUFIMlT+q6ABdgZ2pXIng7kWTHqfgxzCJihALQDAKTlhnUGgM5xHtmoKJqWymoaAJQ5ALWHs10B4M4zN9F0kiwCwpyoZAPNCEgAKAeHTyIQ6ADQ7ByAZ6MeoMq3EgDGDXZPAeCoxkXRpGTsA5yRAFAJ4vQAwM+r58OnL3MAWhUAKq2lMyUAVM2/VgKAa7+o7GJVijvYSRtOY/TKE4h59pzr/mHlIiB7OQHgd82C0X3efq7zVTZSQmqpABQOn0crkPvsAh0WYF8BwBntSrkt3CMCAA9cvI13f9yiGT9aDsAahTLjZwkATc0BeDf6CYoalANQAkDt6eLUtfsIH7NB1YArByBDAagHAHaukhs9axUwDQDKKsASACojIIuAePRY4TcrSwDog66MiorCtGnTsGTJEpw+fRq3bt1C+vTpkTVrVoSGhqJhw4YoV66c2yPbtm0bxo8fj02bNuHKlStIly4dgoOD0bZtW7z33nvcZzV37lxMnz4dBw4ccBzH66+/jkqVKqFLly4oW7Ys93ZEGwYSAKQpbcxWAFoBAFb7dj0iBRWAT549R143OQD1KgBpD21aCkBaxVgzAKAIwIu7/pQA8MHjpyg8kE8BuH9gDaRJntixGW9bgCUA1J4trQQA13xRGbmdchWRI792Lxplhq9xUQ67uwcoASAtHYHo/YOlHFZuz501jdhgeQHgmKbB+Hy+8QBwV99wZEydVDQEmu15rXhEpTZs6VHD9mvFDREAuFCHBdhTAKgsxkHiwtsnLADIqtxMlD4dX1qA9QDAmoUzY1Jr7yoAZ39YBuVzZ3AMl1+2nsXA/+nPAUjgeg0TLcDeUAAGMgAkY6HF5B2aU4cyXYin84teADh86VH87CYHoB4A2L5CTgyoW0gCQE871YD1pQJQWoANGEa23IQEgCZ324IFC9CpUyfcuHFDc8/16tXDH3/8ofl7REQEBg8ejOfP6eqLunXrYv78+UiWTDt3RnR0NJo0aYK//vqLup8ECRJg0KBB6N+/v1ciJAGguTkAifWWWHCVC6lU1tlEC3C10esRSalE526AsQCg3iIgVgWAShBnJQC4p184SgxdbchcIAGgdhj1WpppW1x3/BraTd+luTOWBVgLAP6w5iRGrzohNBa8DQCv3o0GSYpd4PVXkSeT+wTrygMnAJBUwlx68ArzfEY3CcYXC8QB4Ipuocj/emrH9ml9IgEgM/S6G+gFgFrggdcCbFcAWKvw65jYugR3vL9ZfgwT1p/mbk8a2hkAhkSsxC2DqwAbCQBJpfJ6xd5y6Q+ifCMATLnQFKBmW4D9FQCS/NpvF31DE/C1KJMNwxto5080OgegtABrT1F2BYA7Im+g2c/aFbTdfSSVCkChW5bfNpYA0MSu/fXXX9GuXTsHuMuUKZMDBFasWBGvvfaaQ8VH1IB//vkn0qRJAwIKacuUKVPw4YcfOn7KnTs3+vTpg6CgIFy+fBnff/891q2LLfTQsmVLzJo1S/PsyO+zZ892/F61alV89tlnePPNN3Hw4EEMHz7ccSxkmTx5Mjp06GB4lGgTEOtLm4jqw/ADpmyQ96v+yWG1XVRsZisAI6/fR7XRavuDPwBAKygAN5+MQqup2l+xncetu3ETaACQlQSe9YKghCsi17xVcwCaCQBp85Iyhqs/r+wC08jv49acxBgLAcCLtx6i7g+bHS/mJLH6rA/KoHTO1zRfvpTnKAIASeGfLz0FgMeuod0MNZT1FQAkkGr40mMil43t2toNAE5vV8ottBdRAO6/cBv1fhKzANcu8jomtOIHgHpyAM7uUAbl84grAP/sWhF1f1RXpyXzf82x5hUB8YYC8M6jJwgevNKQa8tTAFg8W1qcv/kIUfcfM4/HiByArPu7HRSAJOafzVUXh2IBwIbF38KYpsU071E50qfA+h5VmX1Aa0B7vpQAUAJAZQQkANR1afndShIAmtSlR48eRUhICB4/fuyw2MaBPtruY2JikCRJEpefbt++jZw5c4L8my1bNuzZswcZMsQ+SJHl2bNnaNCggWPbZNmwYYPDUuy8kP+vUqWK47+JWnDx4sVImDBhfDNiUS5RogTOnz/vsBZHRkYibdq0hkZKAkBzFYC0CmgTWxVHp9/MKwISNno9ThusADQSAJKqzATMOi80C/DIxkXR9GUOQEMB4IAaSJMi1oqrRwHYPTwfPgvP61j//uOnKGKQBdhIBeDWXtXwZtrkjmOUAFA92qwFAEORJ1Osck25jF19AmNXnxS6H3hTAdhz4X7M3x1bYZEsRAFI4GXcwrIA8yoA9QLA5d0qOZSJZKHlANzZNwyZUhtT6ZLsg/fDVCAAQDKfEwvwoydiVYB9pQCc3raUCyBWXmgD6xZyqUiv/J3k+upUJbYKsB4AWCfodYxvKQGg1sdmCQD/G23vlcqKrxsV5ZpntW4WLACodAsI3XAojU9du4fwMWpYzJMDcNjfRzB5k3ahOT0A0Pk6c56zJQD0tLf51680ci0u3HykWsFqYhPa2WyPvIH3pAKQv6NlS5cISABo0qAIDw/HmjVrHMCOwEAluOM9hFGjRqFnz56O5nPmzKHm+iNgLUeOHA4Y+M4778TDQOU+3n77bSxdutQB/c6ePUstAU5yAzZv3tyx2rfffosvvviC9zC52kkAaC4ApOU/mdiqBDr9tse0KsB6AGDM0+fI12+Z5pjSawGmPbRpAcCpm89gyF9HVMegFwC+ePECOXsv1Tyf/QoAKJLDL26DugGgYr+0HIC7+4WjpEEWYAkAtadIOwDA71adwPdr9ANAWkVyrpuGopHyAZ0GvFi/x22K5MEjAHDZIbYFmOT97LHwgOihQgUAKbZsowAgqZh+L/opQoas4jrG3rULYMQy/1YA6gWAWuCB1wJMYvvxy1x8pDN4oayvAeDbQW/gp5bFucYPaWSmAvB/XSu4FDWRCkB1V3mqAAzJltYBQ3gUgIYAwA5l0GKKtnvCrgDwxxYheKfom/Gd43z9VyuQCdPaltL8XQJA7inI44Z2tQBLAOhx1wf8BiQANGEIHDt2DAULFnTsieTVGzhwoK69VqhQAVu3bsWrr76K69evU1WCZMO1atXCihUrkDRpUhA1X6pU/+VEun//vgM+EiUiabdsGR2uEBVixowZcffuXZQvXx5btmhbSfScTKADwFZls2Fo/f9ygOiJocg6tK+fk1qXQMdZEgDGxdEKAHDfgOpImyJW/SsBIEDsYu5eEPzNAqz3fGhzAU1tpmx3Ymhtt3BdqyDJmJXHMW7tKZHpR1VV064AkED/njoA4LLPKqHgGy8VgF4CgNfuRjuUY4cv3+XuF5YtjHtDFm5IAOCify7iYYyYAtBXAHBa25JoP2O3ZkRFFID7LtxGfUELsBkKwN86lEGFlxbgGVvOYNCf6o9rWidPA4AErtcau8nwEehvCsDqYzbgJEcOwGJZ0+LiLQkAlQNKjwKQBQCr5s+I6e1KSwBo+JUrvkEJAGUREPFR4x9rSABoQj8OGTIEAwYMcOzp8OHDKFQotvoTqbpLAB3JAUiqALtbCJBLmTIlnj59ipo1a2L58uWazUeMGOHIDUiWtWvXOnL8xS3k77CwMMefpF2vXr00t0P2s3LlSiRKlAgPHz5E4sSx1kQjlkACgLQXbbMB4Mmr91DdqVqe2QBQKxG123FvAwXgppPX0XrqTs3TUL5MsBSAe/tXR7qUxgDAe9FPEDSIL7eQUnlopgKQVQWSBQCV6iqReWnyxkhLVkC1EgDUUiOOXnkcPwQiAGxUFD0XiSsAzQCAI5cfw3jBYgyBAADJfXbRnkvCFmBfAcCp75fEB79oA8BBdQu5BWY9a+VH5yp5HFOhvwHAJV0quOQ09AsA+PAJgiP47tOse5yWAlAEAF66/QjX77FzADYrmRXfNPbQAsz4wKd0C7DOnfW7mRZgTwFg9vQpsEHmAGR1qSG/29UCvO30DTSfLIuAGDIIAnQjEgCa0PFxlltS3INAP1J8Y+TIkThw4L+XCZLb7/3333dYbZWKvbjDI+CwSJEijj9JwY6xY8dqHjnJ6dewYUPH7z/99BM6d+4c35b83bVrV8ffpF39+vU1t0P2M27cOMfvSnBpRMgCCQAeH1oL+fupga0VAODPrUvgYxMVgFoPoVYGgDcfxCDiz8P4Y99l1WGObFQUTUtldfyfCAB8/vwFcvXRtgArAaBIDr+4g+sWnhfdwvM5/hQBgErlYe/fD2LOzvOq8yWFCkoNM6YK8JZe1fDWyxyAEgCqR78dAOC3K47jx3X6FYBnox6gilNFctF7Csviy/o9bn/EArzn3C0sP8y2AJNr3isAsE8YMr3qWQ5AXoupMs4kXxyp4urPi14AqAUeeC3ABK521GEBNhMAnhlRxyUdhZUVgBIAsq9UTwFgcNa0uCwBoCrQQ/86gimbxXIA/tA8BHWDtS3ALAWgkQCQPGu1LpfdYdfXWuyQ8449+vW1kABQKgD1jRz7ryUBoAl9SOAeybUXHBzsqPpLIJzWQiAfse+SirzKhSj+ateu7fgvkgvwyy+/1NzG7t27UapUbH4JovAjSr+4hfz9zTffOP7ctWsXSpYsqbkdkvuvR48ejt/J/okikHchgM/d8u+//6J06VgJ/IULsROQv1YBtgIAPHH1HmpQFIAfz9zj0k3eehjQAwAfP33mAk+VB2xoDsB6hdG6XI74zR+6dAetp+5wVBd1XrwFAP/pXx2vvVQAegoA70Y/QVFOBaAaAB7AnJ0XVKcsASDvzOdZO72KRtpeWRZg2ryk3I4WjNSjNlPOKXYFgN80CsJXiw4Kd/DSTyuh0JtuLMA+AoBELTZy+XHh87HTCgQA/v7PJWELsK8A4JQ2JdHhV2MUgHvP30KD8Vs1u4sGAEVzAI5YdhSTNkQKDQlSpbti3tjidSIWYBoAJOra2t/b3AJsoAJwbLNiqB/ylkt/8CoArQYAlR8LhQYZpTHNBcNTBIQFAEnMu81TVwGWANDT3jJvfQkAJQA0b7RZa08SAJrQH0T5R3LpkZx8JPceqaj79ddfO1R6JJ/fwYMHHRbhuHx8JOfepk2bkCBBgvijW7BgAZo2ber4e8KECejYsaPmkZMiI3E2Y6L2++GHH+LbdunSBePHj3f8TdoVKFBAcztkP3HqwYULF6JRo0bc0XrllVe420oAyB0q3Q2PX7mHmmPVFdCIBdhMAFjjuw04cfW+6hxYsNGXALD5z9uxLfIGNeYSAOoeihBRAJJ8US3dJAnXC8x+3ngaw5daT/2k93zMBIBENTZB0G7qDwDw64ZB6PW7BID6r3zz12xZJhsW7xUHgFrgwdsKwMltSuJDNwBw8LuFMfB/hzUD2aNmfnSpGmsBtgMAnL7ljNuqxsoT/aNLBZechgVeT41jV+4ZPrBMzQFoAgDUevZyVg4HZ0mDy3eiuSzAzvBMjwqZdX8PVACY7bUU2Njzv9RNIgPcuR+kAtB99OwKALeejkKLydoFdNy9W9EceCJjTLb1jwhIAGhCP5IceqQqL1lI5d3NmzejbNmyqj0/f/7cUbU3DgIS4Ne4ceP4NjNnzkSbNm0cf0+dOhXt27fXPPLIyEjkzp3b8fsHH3yAKVOmxLclf0+bNs3x9+nTp5ErVy7N7ZB2pD1ZyP5btWrFHS0JAP8LlRUUgMeu3HVJlm02AKz53UYcv6p+WLcyAHT3QKsEgBtPXEebaXw5AFkW4D39wpE+VVLH4BGx8MaNNqUFWL8C0NUCTCqVlh62hvv6d9fQSACozK8mcnCBAADXHrvqtqAASwGoBSP1qH6sDAB3n7uJFYevMofPiIZBIPZ40eXvTyui8JtpHKutoxUBkQpA0ZByt/cVACT26k5VYp/ByMILR1gAMKJeYQxY4j0AKGoB1jMXKBWAngJA7oEg2ND5uYTkj1uw56Kw2tF5t7TnndsPY1Asgq9yN+s0tBSAEgACehWAQ/46gqluLMB6FIBV8mfEDDdFQIwEgG+mSYY25XNIC7DGxRM6ch3O33yo+pX1XsK6Ds34XQJAM6Ls3/uQANCE/iU5/R48eODY03vvvYc5c+ZQ96rM80fUgYsWLYpvZzcFoLQA/9fFx4bUQoH+vs0BePTfuy5WGQkA1baNIU4WYHcvbcQO2KxUNkcniwDAZ89fILebHICeAsDPwvKie/XYHIB3Hj1B8GC+5OLK3IO0HIDeAoAsCxhLIeBvAPD3zuVRLEtaJEjAr6DWuoV5CgC1Yjti6VFM2ihm+1M+UJ+JeoCqFsoByAsAhzcIQp/FxgPAHX3CkNkHOQCJWmzUCv+2ABMASCzAj56IVQH2VAFoBQD4z/lbaOjGAhw5vI5LPlozAODMD0qjUt6MjmlLBAAu7lzeraXZyEd55Xx160EMyn+9VngM0Y7H2wDwu2bBaBCSxWXXvACwaJY0+NdCCsDNX1VFlnQpDOlaMwHguOYheNdNDkAJAA3pUkM2YlsAeCoKLdy4Y6QC0JDh4dcbkQDQhO594403cOVKbJLxX375JV7JR9s1yYV36dIlZM2aFefP/5eI3245AFlhpUmQWS+WVvsqw/tV3woA8Mjlu6gzTp0rZ2KrEug4y7wcgLXGbnSx67D6NPrJMxd4qhxbenMA0r7aWgEA7u4XjgweKADtAACVD/UsAEjUIq2matsc/A0AkrFdIns6kAI9cUpQ1lyqFwDS5iXltrRiy8rVynrxtRIA7FOngKMICI8CUC8A/OuTiijyVqwCcP3xa2g7fZcqRBIA6h3h7PX0AkAt8MBrAdYLAMl1/xElL2/cmYooAPUAQNEcgKSwwMQNp9kdoWihFwDO/7gcmk7aJrQvvY2VzyV6Uh5o7defAGCTElkwqklw/KnyPg8rY8P6wGckAKTlwebJAchSABLo2n3eflWXswAgqwiIVADqvXLF15MAUOYAFB81/rGGBIAm9CMpdkEKbpBlzZo1qFatmuZey5Urh+3btzvyBUZHR8e3O3ToEIKCghx/e1IF+Mcff8Qnn3zi2I6sAuxZ5/M+8FgBAB6+fAdvj9usOmEJANUKQPJy1UZRBMQXCkAlABSx8MZ1rNcAYJ8wlB5ujAXYCgBw0obTGOGmKp5nM4PnaytzeendGksByAKAyuIVymMY9vcRTN6kXRWRdrxWVQASALj77C2sPMK2AA9rUAR9Fx8S7g4lAKRZgCUAFA4p9wotymTDHzpyAHoKAEmBlc5VYnPxkYX3WUFLlR+3HfKRqj+nBdgOAHDa5jOI+OsIV39+UDGnWysm10Y4GynnK1IIbNPJKM413TezOgAMeisNrt6NxrV7j5nnKwFgbIj0AECWAjDra8mxqaf2e6K7znGea6QF2P1QlgBQAkDmZOenDSQANKFj27VrhxkzZjj2tHLlSlSvXl1zr3GwMGXKlLh//7+CCTExMUiRIoUjlyCpxksUgVoLqfrbp08fx89r165F1ar/JZMlf4eFhTl+I+1IVWCtheyHHC/JYUgszEmSJDEsWjQFIEtZwlKLGXZwnBvifainvWgTZcKwBrFA14yFVLR95wfrAUBSidBdvkgzFYB6AeCGE9fxPmcOwKfPniNP32WaXU6q7WZMHZsD0GMAKJBcXFl9mGoBtigAdIZUBHR/OmcvrtyJRueqeeIT4jsH3OoAkByvJ/Mdyfk5ZdMZLNyjXY2dBQCVueuU8WMpImiD2x8A4ND6RdDvD+MB4PbeYXg9TTKPbgO89yLlTr6skQ/frjzh0X6tvnIgA0CibG00QbsKsBEWYD0KwF/bl0ZovlgLsAgANHOsmQkAicU4ZIgxOQDHNA1Gw+L6LcBF3noV1+4+Ng0AshT+VlAARvx5BNO2aH/wogHA798rhnrF/qvG7Dw/mwkA30iTDO/LHICa04ddAeCWU1FuC+RJC7CZdwx77ksCQBP6bfr06fFFO1gVfDNkyIAbN24gX758OH5cnZ+HVAfetm2bo3Lw9evXNYFcrVq1sGLFCoeKkLRLnTp1/Fneu3cPZB8EKJJ2cUVHnMNAfs+YMaOjejFRJW7dqv0gqSeEgWQBPhpRCwUHqIGtNQBgcXSc9Y9L93kCHtyNhdrfbwLJRahcyEuIu3xnVgWApCLoe6VjcwAaCQBJrr1MqWNhQCAAQFYOKNYLgjMAbDd9J9Ydvx4/xDb1rIqsr7nmEPJnALjm6FVHde+nz1+4nZr1AsDBfx7G9C1nhaZ95ZwSef0+qo3eILS+c2Pl9mjwi/V73PZEFIBD6hdBfw8BIM0C7CsA+EX1fBi9SgJA2kDUmjd4LcB6FYBaqvy4YxRRALIA4OnhdVzy0YrmAJQAUGwaoz1bmQEAtQqwOc+dEgC69icLABLo+vl8tQVYAkCx68KXrSuPWodzN+xXBEQCQF+OGv/YtwSAJvQjAXokD+CTJ08c6j+iqqMtGzZsQJUqVRw/OVfvJf83cuRIfPXVV47fSSERUlDEeSFgLUeOHA6lYJ06dfD333+7tCH/T8AfUfadOXMGJO+g8zJ37lw0b97c8d9kvz169DA0UhIAWkEBaC4ArPP9JhxxAoDkJSShm4IHLAD4UWgu/CxYkIAMZNpXWxEFoFUB4KdhefH5yyIgItUFlQpAUuhg9o7/8o+SeBGbYhmDLMDKl2sWACT5olpP1a6w7AwAnV9o3i+XHYPrFXGZu/wZABYdtAJ3o58y52sWAFRaV5UbG/S/w5ixVQwAKpW+VgOAu87ewioOC7BeAPhn14oIyqKdA1ACQOZQ1d2geelsWLLvEh7GiBUB8RQAOlv4eRWaE1vR78m8AJCoOrtWy+torgcAmpEDUCoA1cPZSgCw8Juv4vo9PgVg4xJZ8K2HOQBZH/i0rkM9E4LeHIASAOqJtn3WkQBQWoDtM1qNPVIJAI2Np+bWOnfuDKL+04J3RJkXGhqKffti85Lt3LkTpUqVUm3v5s2byJUrF+7cuYPs2bNjz549SJ8+fXwbAv0aNGiAP//80/F/zvbfuIZKG/C7776L33//HQkTJozfTlRUFEqUKOEoQpI2bVpERkYiXbp0hkYqkADgkYiaKDRghSp+ZisAD168g7o/OluAfQ8ATw2rjUQJE2iOLRYA1FsEhAYAB79b2GGViFvcvbTpBYBPnj1HXjcW4J19wpDpZUVQkSq+ccdsBACkWYDtCgDblMuOCAoAJInriXrFyoteJS4vbJAAEOhduwB2n+MEgIz8a1pjyaoAkHwoGOPnCkC/A4AMFaoaAN5EownaRTNoCkAzAOAv7Uuj8ksL8NTNZ0BSClhtsasFeHSTYDQq4fpBn1cB6M8A8PiVe6g5dqNqqDnnMaSNQ5biXY8CkIx/ch1oPWsamQOQWIDbls/hNuex3mcNq123eo7HrgBw88kotwXypAVYz2gIrHUkADSpv4kVt2TJkg6oRpR3HTt2RMOGDR123oMHD+Kbb77BsWOxL6SdOnXC+PHjqUc2adIkx7pkyZ07N/r27esoDnL58mWMHTsW69atc/xG1HuzZ8/WPDvyO1H5kYXkCOzWrRvefPNNx7EMGzYMp0/HVnabOHEiPv74Y8OjJAGguQrAAxdv490ft6j6cULL4uj0m3kWYJoC0B8AIM3Wpwy08kZsVQC4p194fNVZOwFA5zx1zvBLAkDtqZuWmkDZWksBOHDJIfyy7ZzQPUGpADx9/T7CLGIBFgGArAqsWgH5X9cKKJolreNn2lyxrXc1vJEmuVA8nRvzQl/let3D8+G71f5tAdYLAFMmSYiPQnOja7U8KoU6rwVYrwJQ654c128sFaoIACT3Xud8tKIW4BHLjmLShkihsSsBoDpcNx/EoLhBOQA9BYCF3ngVUfd4PkUdAAAgAElEQVT5FIDkLAhY6lw1NzKmSoqcvZcKjQPS2EwFYCADQJkDUHtoSgAoFYDCE5efrCABoIkdefToURDF3alTpzT32r59ewd0S5w4sWabgQMHYsiQIXjxgp7jiVh8Fy1ahGTJtBOLP3r0CI0bN8bSpfSbdoIECdC/f38MGjTIKxEKJAB4eHBNFB6oVgCS5OTDTSwCsv/CbdT7ybcA8O1xm3D4sjoH4MlhtZHYhgrAEQ2DQF4utV7q9QJAZUVQTxWAItYiJQA00wLMSgJP7GJt3BRYYQFALQuwVAACLACoVK4pxzPJgzdzu/8AQGIBXn2UXQWYKIQH/u+w8P1QAkDhkBm2QvPSWfHH3st49ETMAhx3AEq7Kvk/qwNAktfxk7A4C7B7BeCJobWRr5+6IJUEgLE9b6YC0GoA8MaDx7h6l10FOO4aKfB6aiz7rJIuAMhK8WGkBdhbAJBA1y8WiOUAZCkAs6RLjs1fGVMFWBYBcX87sSsA3HTyutv0OFIBaNhjhN9uSAJAk7uWVNMlVuCFCxfi5MmTjkq/mTJlQoUKFRxKO2XFXneHRopy/PTTT9i0aROuXr3qsOoGBweDVByOy93Hc2pEJUgqFO/fvx+3b99G5syZUalSJXTt2tVR/MNbiwSA5gLAfRduo74FASB5CUmSSL8FWG8OQJptQ8QCbAoAFKjiG3edflotDz6vkd/xp5EAkOQpKztijSHTgfKh3tsAkCgUBr1b2OW4JQBkA0AluFIGsN8fBzFruzpHJGtgWFkByAsAB9UthEF/itsVrQoAu4XnxdjVJ1ldZ+vfPQWAr7+aDNv7hMXHwNsAcHzL4uhMUeXHHQCrErUSAO4+exONJ2pbgGkpAEQtwHoUgDPalUKV/JkcpyQtwICRAJDk5CO5+ZwXXgtwwTdexU1BAEj2tfrzUISPUdtreSYOOwBAVs5bqwNAMoe1qyAtwFrjUQJAqQDkmav8sY0EgP7YqzY4p0AHgGbnANx7/hYajFdXcjbbAvzOD5tw6JJaAXh8aC0kTfRf/knnofso5plLBWVlG705AH0FAGOePndRXSjPR1kQ4I6JAHB3v3BkSJXUcSg0C7C/AcAJ60/jm+WBnQOQpQDUAoA0hSjrlqOs9m01C7C3AeCSLhUQnFXbAry1VzW8mdZ8C/BnYXnx/Rr/B4BL9l0WLgISN56TJEyAE8NqSwCocYEHAgBsNWUHNp+KYk1xXL/TVDlWAoBEzXfrYYyQApCc+KJO5dFogvr5kicgZgLAY1fuotbYTarDci5kQjtmPQBwbLNiqB/yVvzmnFM0mKkAlADQ/UiUAFACQJ65yh/bSADoj71qg3OiAkBGPhmrJarlzbtkBQswDQBqqQ28FWerA0Ci8GlbIafmQ5vyslIqANcdv4Z203dpXnXKeJoJAEVeLKwKAEm+qPfdWICd89Q5X5NaCkAJAAFacSLlIFaCK+X/0wAx65ajBICnrt1H+JgNrFXc/q68pmjzMOv3uI2THIC7zt7E6qPXmMczsG4hDNahAFTGccOJ6y7jWQJAZuh1NyAKQI8AYKIEICr1uMXbCsCfWhRHl9mueXnj9s9SAJLCLqQQFFlYCkDaBwCzFYBTNkVi6N9Hdfevt1ZUzh/eBIBX70bjz/2XDYuBlgKw1tiNOHblnipc5Byd5069AHBBx3Jo4kZtqtVP/gAAScy/dLIAewoA30qbHFt6GWMBJgCwbYUcboueeeuZ31vXp5HbrTJqHc7eeOhybRi5D29sa+OJ627T40gLsDei7l/blADQv/rTNmcTSArAQ4NrooiPcwD+c/4WGjopAP0BABppAbYCAFQWBLj9MAbFIlYJXdNKC7BeAEhTeJHjKjdirdCxaDVWWoBZFjBPASCxvgys62oBlgCQDQD/6FIBxV4q19QA8ADm7LwgNBasCgB7kSrAnABwwDuFEKGjYqkyjlYCgAQUjfNzBeB7pbLif/s9UAA6A8BBK3Av+ilz7CuLcZDGvB8Lf2wRgq6z92puf1iDIui7+JDm70oASMC2OyhD+wBgRg7A6e1KoepLC3AgA0AC/wiYu/XwCXM88TYY1bgompTM6tJcBADefvgEV+5G8+7S0W7+x+XQdJK23VwCwL9VIQjNlxEkv2jc4jw/SAAoNPw8aiwBoFQAejSAbLyyBIA27jw7H3ogAcCDg2ogaNBKVXeZXQRkz7lbLhaNQAaAtLwtIgCQFHAhfUgWEQXg46fPkL/fcs1LV6kG0gMAP6mWB1+8zAFoVQC4sUdVZEufwhEDbwPA9hVyYkDdQi7xHr/+FEYuP27pKVTvV3le2MBSAGoBwK8WHsC83YEHAMlYmrbljPCYsSwArJYH49ZqFyQTPlELrmA4ABy4Avce+w4AkvsO+UCjtYgAQNqHSQkAYyNrhgJwwJJD+FWwmjrrEvMVAJz3UVk0+3k76/BcfmcV+VI+Kwhv3GkFb1mAaQrA75oFo0HIf7kYne/JZgLAzK8mBbl3jVimnfJE77OGp31ihfXtCgBpHxOV8ZQKQCuMLmsfgwSA1u4fvz26QLIAWwMAulYE1LIbeethgGYBJonIkyXWzgH4MOYpCg1QV1BWXhR6FYCBAABv3H+MEkNXc80hu/qGI2Pq2ByA3lYAmgkAP6iYE/3fkQCQNghoqQmU7RZ3Lo+QbOlcVu25cD/m777INa7iGqkVgPd0JYzXerjVsgA/e/4C+y6QDx/ayhSiANx15ibWHGNbgIVOWNFYGUfaQzuxehHFhycLL/RV7oOohSUAdB91UqBKjwVYrwLwh+Yh+GSOtgKQBQC7h+fDZ+GxFmCWAvDAoBoo6vRhUtgCvPQoJm2MFBq6dlAAKosWtZyyHVtO3RA6R63GymerYhErQdR2Ri6eAsD8mVPjziNxBeCcD8ui+WT7AcBGxbNgdNNgt13AygFoBwDYrkJOaQHW6GUJAKUC0Mg52E7bkgDQTr3lR8cqAaC5VYBp+YAkANyvuqJ0KwCPXUO7GXw5AFkKQCUM8FQBaCQAJMrE8l8bYwEWAYCkYmRbN/kVWTkAO1TMiX4SAFLvHCwA+Hvn8ihOAYA9FuzHgj1iAPD08DpImOAVx3GcuuZ9AEhe4FtP3clM3h/IAJCohX/wcwVgs5JZ8ecB8y3Aymq8ZMzzAlojAeDOMzfd2jL3D6yB4MFqZ4IpALBtKVQtEFsF2KoWYDMAIIk9gW1GLiMbF0VTDyzA+TKnwt1HT4UtwLM7lEGLKTuET8VMBeDRf++i9vfqIiBGAEACXXssPKA6d6spACUA1B6aEgBKACg8cfnJChIA+klH2u00Ah0ANi+dDaSQhFkLTQ0gAaAaAJIk/+RBKW5x99KmsgALAMDoJ89QoL+2BVgJAG89iEHIELEcgEoLcNT9xyhpkALQWwCQ9QLoKQAkVaL7vi0VgLR5Ri8AJAnPF1ocAPK+kJoBAJUg1UoKwEABgCQH4KMnz3TdavUqAPUCwHHNQ/CpGwUgeWYgRXi0FqUCkAkAB9RAcIQaAApbgPUoACUAdHSfFQGgXgXgbx3KoKWfAsCBSw7hFzdWbasDQFkF2P3UX/Xb9TgT9UDVyFsuKF03IY2V1h+/5vbjuLQAGxlt/9yWBID+2a+WPys7A8Anz55j3bFr+GjmHq4406w2ZgNA2suA2QDw7XGbcPjyXVXMfGUBptk2RAAgScbeskx2x7mQscCrAGQBwM1fVUWWdLH58fQAwK5V8+DLmvkd64sAwJ19w5ApdTLHejQLsL8BwJ/WncKoFYGdA5CWA0x5cS7qVB4lsrtagD+fvw+//3OJa+6La2S2ApA3X99XtWKrAK/1ogWYBQCV17xQUBWNeRVmyu2TueLHdf6dA5AoAD0BgEkTJcBxHVWA4wAgUXzfevAEZUes4era798rhs/m7tNsywKA3cLzolt4Psf6LAC4t391lw9MEgDGhl6ZssBbFmB/AoCsar5aA9oOCkA9AHBM02A0LC5zAHJNej5uJAGgVAD6eAj6bPcSAPos9IG9Y7sCwBcvXuC9n7djx5mb3B1Is9qYXQRkR+QNlyTNWhUHvfX1Sw8AfPD4KQo7VVBWBl5vDkAJANXDVwkA+y4+iN92nFc1IMrECgZZgDf0qILs6VM6ts9SAJJ8Ue08sACT8dGnTkGXa1UCQIANAMuhRPbXXGLXfd4+LN6rHwCevHoP1b/byD1/0hoq5yga/LISAFSC1I0nrqPNtJ2qU/IVAOxSNTd+Wnfao36w+spNS2bBXwf+xcMYfQpAFwDIWQWYFONoVCIL3p+2E6eu3ecOk5EAkHbPVx7Inn7hLjliRS3Aw5cexc+COQCntS2JagUyc83/3IEzuKEEgGJVgH9pX9ox1kUX1nrKZwXRbTu312sBZgFAYrvu6WQBlgDQ094yb30JACUANG+0WWtPEgBaqz8C5mjsCgBpufRYnUYDgGYrAK0AAPUUAbEDAFx77Craz9itOQyUsIKlANzUsyqyvharABSp4hu3c6UC8Pq9xyg1jK8IiF0B4J9dKyIoS5r42DvDoI9Dc6G3BIDUsakXAHabuxd/7LvMmvZUvysVgIEMAGkWYAkAhYaSUGNfAkAyf8/YelboeFkA8OuGQejlxgKsVACyAODufuEuKSLMBoCTN0Zi2NKjQjEyo7FyvvKWArDooBW4G82uKC1yviMbFUXTUlldViG57wgAUy7kucT5fkkswHejn+DfO2IAkJWqQ+sczASARy7fRZ1x6hyADYu/hTFNi7kNsTcAYKW8GTDzgzKazy1vpkmGrb3DRLpec1uyCrD7MNoVAK47fs3tx3FpAdZ1+QTUShIABlR3W+dk7QoA9TywWgEAbo+84VAuKhepAFTnABzwTiG0r8iXA1BpAZYAUGxeMVIByASAlXOhd22pAKT1EAsALuxYDiVzuCoASY4yYqsUWU4Nq41ECRM4VrEaANx55gbWHb8ucjpCbRd1+k9JaSUA2LlKboxfLxWA7jozWeIEODakdnyTIAEF4JhVJ4TGCWnsKQD8LCwvulePtQCzACCp/O78gUjUAuypAlDP85RwUHWsIAGgGABkKfXtDAAHLDmEX93kAKQpAEc3CXYogOMWZ9DKAoCkKjxxXehZnPclcwBKAOgcAdr7t56xJtexdwQkALR3/9n26AMKAFKSbZutANx2+gaaT1YDQK2Kg3ayABOF1yRBCxK5aGiJm0UA4ND6RdCqbGwOQCsBQGLr61GzgOO4hBSAfcKQ6dXYHIA0CzBRKVX8Zp0h840EgHxh1Hsd8uaDOzioBoIGqYsAKI9sQcdyKEUBgJ/M2Ys/PQCAJ67eQw0LWYB9DQCVql++keHairfPlWt2qpIbEyQAdBtyFwA4cAXuPWartkgxju9WiwPAsc2Kods87RyALAWgEgDSPvopTzZdisS49VBdhdYMADj1/ZIIKxhrAbYDAGwxeTu2nr6h99JUraec0/1JAUhs3e5cEH4NABsVRc9F6irAVgKAUgHopwBQIPe4BICGTN9+txEJAP2uS+1xQhIAmlsFeOvpKLSYvEM1OKwAAI9G1ELyJAk1B+39x09RxAs5AK0KADf2qIps6WMtwDfuP3bJ0cS6upUA8Nq9aJQexpd8fqeJAHD9l1WQIwNnDsC2pdwWWGEpADtWzg1S6dV5kTkAAQkAAVIExNsAUKmkpOUAlACQNavp/71JiSz4+6D+HIBWA4DfNArCV4u0qwCLAEBaVM2wAMcBwEcxz/D9mpOYuMF6KlSlYtlbAJBXTSoy+n1lAZ7SpiQ6/KqdBkXrHFjWYeWzgkgcaG31WoCZCkAJAD3tGp+ub1sLsASAPh03/rBzCQD9oRdteA6BBAD3DaiOYhGrVL1ktgJw66kotJgiAWBcJxgJANccvYoPfuHLAUheegoOWK55xUoAqA7NdAYA/F/XCiiaJW38SjQlVGi+jCB291eTJY5vJwEgGwDO/7gcSud0tQD7mwJwx5kbWO9FC7BVASCB41aEL0Y+zngKAJMnToijQ2rFHxIvtNGrAPyuWTC6z1OnplDGgwUAPw3LC1KAhCwsBaAvAWC6lEnw0a97HJXqrbjYFQCS8dGsVDaXkHo7B+DkNiXxoR0BYMhbGNPMfQ7A/n8cwszt5zSHKYGuzgpAUmSusUUswFIB6H6GqfbtekRGPVA10uu+MHMuWycBoJnh9st9SQDol91q/ZOiAcCvlx1z+0JihUmZVbWUFnk6AMyKEQ2LmtZRW05FoaUfAkArWICNBIBKe6zHCsC70Sg9nE8BuKNPGDK7sQATlVKlkcZYgMlXfVLoZNWRK5i+5azbitpGAEBykQ2pXwStX1q2yd8/rj2Jb1eKW/RMu2AB6J3veO2gBwbVQFE3FmAJAI3pbasCwI8r58KkDZHGnKRFt2I4AOS0AJNiHGNXnxSOCqke+vl8bQBIgw3KnSgBIC3tB+uAzFAAErXYhA2nsefcLdbh+Ox3CQDFcgBOal0CH8/cI9xfZioAD1++g7fHbVYdY8MAAID+mgPw6bPnePz0OVIkSYhXXnlFeOzFrWBXBaBI6iHn4MgcgLqHi1+tKAGgX3WnfU7GrgpAuwLAzSej0GqqWgE4rnkISEJ/50UveGCNvrfHbcLhy+pKdL6yANMSN/d/pxA+4CwCogRK3gKARB1RcihfFd+42JPE/j1rxVper1kYAI5ccQxLD15hDRmwcgvxKADjdqIc1xIAAiwAOO+jsiiTK71LH+lRAJ4cVhuJXxYBOX7lHmqO3cjse3cNlH1JA57tK+TEtC1nmPvoWSs/dp656VUFoDKXopUswIEAAIkKZ6kHFmAXBaAEgKprSk8REL12UebFbGAD5XzlNQsw51gSOS0tBWCd7zfhCGcV4HvRT3BZsArwxFbF0XHWPyKH6mjrDwCQpsq1kgLQHwHgqWv3HYrTM1EPULNwZvzQvDiSJIotMia6SAB4AVmy/FewRjR+sr19IyABoH37ztZHHkgAcG//6ggZ4mwBNlcBaFUAeCSiJlIkSUQdyy9evMDp6/cRPkYbFnwUmgs/6ygC4isA+DDmKQoNWKF57Spz3vgrAJzzYVmXgjRaAREBgGS85Oy9VDO2EgCqQ8MCgHM/KouyAQAAd0TeBKnO661FAkBvRZa9XcMBIGcVYL0KQFI84IsFHigAq+XB5zXyOwJjhgJw2N9HMHkTG7Qre0qvXZTd28a1CFQAmC9zKtyPfioMACe0LI5Ov/knAOz3x0HM2n5ec3BZHQD6owW4+7x9WLz3UnyfEABdq8gbuiYAu1qApQJQV3fLlRQRkABQDgefRCCQLMBWAICbTl5H66k7VX1tBQWgFgB89vwFOs7ag1VHrrodn1YAgKuPXHWbAFsJnswEgFfvRqOMDgsw7YHXSAswLf+iXgC4pEsFBGeNzQH4/PkL5OojASCvBXj/wBoIHqxdBdjOAJAoeaduZoMJogD0NgBUWql5FIAEZO8+dwsJXnkFJbKn47o/8/a5cmN60ydwHZBFGvkKAJJiHKTAhehClENfugOAjYui50J1xVHlPj5VAEBa4S/W8YhagP0VAJ4YWjteURRICkC9APCnFsXRZbY4AJzerhTaTd+lOSzXfVkFOV8WDGONXdbvNAtwg5C38B0jB6AeAEiecZqUzBp/SM7zc6W8GTDzgzKav7+VNjm29KrGOiXq78778kcA6HyOWV9Ljk099cXLrgBQxHnkPFCkBVjXpeV3K0kA6Hddao8TkgDQXAUg7cXz+/eK4bO5+1wGjJkWYC0AuO74NbcPhnEHrfcl1kgFoJEAUPnA66kCUAQAbu8dhtfTJHOE1UoAkFSMdFdgRQkACTTOzQkAf1hzEqNXBXYOQBYAJErNcrldLcAkbcD/9l8WutEoFTXHrtxFrbGbhNZ3bmyUBbhHzVgLsDcVgCwAqCz843z9EZBJUhOwFj0AUO/HE9axWOn3RsWzYNkh/VWA9RYBkQBQexTYQQGoBIDNf96ObZE3DBnWynkryAsW4K8bBuG90q5FQHgtwHoBICmy1XW2azoZVtDMBICHLt3BOz+ocwAaAQBJzHv9rq7MbSUA6I8WYOf7XZZ0ybH5KwkAldebu/c4CQBZM1Ng/C4BYGD0s+XOMpAA4D/9q6O4jy3AVgCAtIdQLQDYasoObD4VxRy3el9iacnUhXIA1iuM1uVyOI7PWwDw+r3HKDVMLAdgpyq58dXLHICBBgCfPHuOvH2XaY4Z5QORBIAACwDO/rAMyufO4BJPfwOAO87cBJkfvbUocynSlNhKAHjzQYzLveLw4JpImZSeJiHumCUApPeepwCQJJg/EiFeBVgvAGSpo2kfrpRn/km1PPjipQXYqgrAn1uXwEc6CkZ46/qkbdffACAt/zK5HzrPGwQAPnj8DJduPxIKtwSAYgCwYp4MmNXBHAVgIABATxSTdlUAirx3OF/MEgAKTW9+21gCQL/tWmufWCABwD39wlHCqZhD89KBpwCkAUCtl1tfAMB+bxdEh0q54i8cdy/VQ3QCwAePn6LwQO0cgGu/qIxcGVM5jsFTAHjlTjTKjuCrAuwPCsCYp8+Rr58EgLwwyEwAqHyhNkMByGsBJgpAKwHA/Rduo95PW1Q3b2K/J1Wz3S28fa7cxoeVcgrnb7P2U4Xr0XkKAFMmSYjDOgAgqcY7TocFmAX4WIBQBQBPRaHFFHXhL1b/mWEBtgMAPD60FpImSugIl7cUgEUGrsD9x09ZXSL0u5YCUAJAQK8CsO/ig/hth3YOQJoCkFzHTd1YgCUAFBrWLo2d73dvpEmGbb3DdG202uj1iLz+QLWut1xQug5QYyUJAI2MZmBuSwLAwOx3n5+1XQEgySs15K8jQvGzAgAkFrf3p6lzAFrBAuwpANRtAW5UFD0XqXMp6QWAJE8hqUimtSgfJlgAcM0XlZHbBwBwW+9qeCNNcscp0CzARKUUOmqd0LjXasx6yVWux7IA/9GlAoq9zAEY/eQZCvRfztUPUgEI7B9QA8ER2jkAZ3cog/J5jFEABjIAVOZSpCmxlQpAMwFgh4o5MYUjT6IhF72PNiIBoASAeoaeBIBiCsAfmoeAVIcXXVgWYOUHUdFtO7enAcD6xd7E2PdC3G7aGwDQzByAgaAAJOe4vY8EgMqBLC3Ans4Y/r++BID+38eWPEMJAM1VAFoBAHpDAejPAPDavWiUHsan4Iu7yJUW4H/vPEK5EWu5rn+rAsApbUq6LbCiFwASdc6YQM8ByACAv3UogwpeAIBH/72L2t97NwegiAJwe+QNbDrJTjfAdSFRGrEA4IYeVZA9fUrHmhIA6o0yfb2Gxd/C8kNX8DDmma4N200B2LVqHnxZM7YK8FYTFIBD/zoiDJEntS6Bjy1uAVYCwPd+3obtkTd1jR/nlZQv5f6kANQNANuWQrsZ2kVA7AAARzQMQm+nHIBWUwC2r5gDw5ce4/o4ashA9/JGaIVOdvQJ17VXuyoARYQHzoGRFmBdQ8XvVpIA0O+61B4nFOgA8L1SWfF1o6KmdZYEgOpQf9MoCF8tUudtEVEARtQrjDYvcwCK3IiJ5Yc8+Gstqz+vjDyZYi3AegBgx8q50at2Acf6gQYAWRWWlS9f/ggAr92Nxl8H/kUEp0KZpQCUANCY6VlZTIWWA9BXAJAXkhoTBd9sxXYAkKJMV0aOVSVYAkBjxtmxIbWQLHGsBdhOAJDAqOaUIiDetgD7MwDss/ggZruxAFMBYKOiaFpKuwqwtAB7dp06A8CMqZNiV18JAJVRlQpAz8ZYIKwtAWAg9LIFzzGQAODufuEo6ZQD0GwAuP74NbSdrv7SarYFmKYAPDS4JlJREtzz5gDUqwCUAFA9KbAUgARSVB613pCZRMQCLKIAZNmr/RkAErBceeQ63HgQw91H+wZUR7GIVZrtZ31QBhXzGm8BDjQFoFUBYPsKOTFtyxnu8WLHhj4DgNXyYNzaU8Iho92X9ALALaei0NLLOQD9VQFoBgAsPGA5HuhUpmoNLF8BwHHNQ0CKQ4ku022gAJQAULRXvd/eGQBmSJUEu/tV17VjqQC8gCxZsuiKnVzJ3hGQANDe/Wfbow8kAEi+TDlXc7UCABzbrBi6zdvnMoa8lQDXXwHgysNX3FY1VMaTrQAMRZ5MqR19QhRdpYeLWYCVCsDLtx+h/Nd8FuCtvarhzbTaOQANBYAMlYtyQE5uU9JtfsXFncsjJFs6xyr3op8gaJB2TjtlP3y/+iS+W33C0vOnyHX407pTGLXiuND5sADgzA9Ko1LejC7b/GzuXizZd1loX0pL3ZHLd1FnXOBYgJXVlGkKwPVfVkGODOZbgAMCAIa8heWHfWABlgBQc36Y2KoEOs7aIzR/mN1YAkCxHIDeAoDKnMiejgFaDsB6xd7E94wcgCwAOLxBEEgb5TJSKgA97S636zsDwNdSJsE//fUBwLDR63HahkVARN47nIMpLcBeHZ622bgEgLbpKv86UAkAzbUA0xSAEgAaYwEWuRFLAAiQh2PnAixas5sIALwb/QRFAxQA8ipmlXHe2786QoZoKwDtDAB54RapAuztHIBWBYDtKuTA9C1n/evBwulsGnoIAIk6najU45agQStwL5pdufVTnQCQVlFUeUqjmwTjiwX7NfusS9Xc6FEzNgWEVRWAEgDGdp+ZCsB3ftiEQ5fuqsYN+cDkDFLyZU6FB4+f4dJtCQDjguUNAFghT3r81qFsfH8498NbaZNjS69quuZm522RAhltK+TA18v8NwdguhSJsXdADV3xkgBQKgB1DRw/WEkCQD/oRDueAg0AfrP8GCasP615OiKKGG/FZNrmM9w5tuKOQSoAYyNBEv8T+59y8ZUFmPaipTcHoAgAZKnUVnUPRd7MvlUA9v/jEGZuP6fqJ6JSqvKt+RZgEQB45+ETt1Vt/VkBqCdPFfliXtwNAPy1fWmE5rOnAlACQPYdsG35HJixVQJAd5HSCwA/qZYHP+iwANPyiRyvKykAACAASURBVOkFgJtPRqHVVO9WAR7y1xFMFawkLQFgbI8WGrBcd3EarTFL1GgtymRz+dmqAHBa25JoP2O35iVopALw4MU7qPvjZtW+eBSApMDHnJ3nNY+RpgAkVv5mpf7rB2coJwEg+/7kroVzPNMkT4z9AwMLAK44fMVtMSWZA9CzMRYIa0sAGAi9bMFztKsCUA8A3Nk3zKWaq9kW4HXHr6GdUw5AsxWANAB4cFANpE6W2GWE8iqa9OYA9BQADn63MN4vn8Nx3N4CgFfvRqOMoAX448q50Lt2Qcdxka/4FTgtwORrM/nqTJZ+fxzErO3qB15DAaCXFIC3H8a4zWlndwAY8/Q5yJjIkCopkieJTVAftzSduA07z4pVqqTlJlVu85f2pVHZpgCQt8AFUQBuO30Dm095rwrw7A5lUP5lNWUrWYADAQA2CHkL5EVJbxVgqwFAVhEQpQLQugCwODrO+seCT6X/HdLRiFrxc6yejytaJ6e8B0kACPgDAKT1tQSA3r28nQHgq8kS4cCg/5TaInu3qwJQAkCRXpZtaRGQAFCOC59EQAJAcy3ANAD4XbNgdJ/naifyltKSlgPQSgCwb52C+DA0V/z14PyQobxQlABQ5EbMUgCu7B6KfC8VgBIAAj+3LuE2v+Lvncuj+MscgDcfxLhVtCnH9djVJzB29UmfzH28O1UeLzm31lN34PDlu8iePgVmti+DbOlTxG+q4fgt+Of8bd5NO9rRlMlmAMDDl+/g7XFqJYbQgQNQxoZ2ndoJAK77sgpyuskBuLFHVVVf02Llbq7Siq0EgOxRlzppIhzUYQH2lgJwVOOi6LHwgOaBd66SGz1rxVqAJQBk969WCyUAbDZpG3acEfu4EmgAUKugHKsHJACMjZC0ALNGivp353ilTpYIByUAVAVJKgDFxlQgtpYAMBB73QLnbFcL8PQtZzD4zyNCEdzZJ8ylmIMVFIBmA0CvKAAr58KkDZFC/UEa0xSAZgBAVp66Fd1CkSl1Ugz5+wj2nr+NM1EPhM5NqQC8eOshKn6zjmt9pQKQZgEmkKKqURZgAQWgCAC8cf8xSjhV21aevJ0B4OSNkRi29Gj86TQukQVEDRS31PtpC/ZfEAOANGWyMl4z2pVClfyZXMaPniIgyqT6gQYAf+tQBhVeKgBpUMZXAPD9ctnxyza11Z9rsrBRI08VgHoBYNeqefDjOvEqwDQ7oTLcIgCQpjb9P3tnAR41tsXxs7gtvmhxK1ooRYoUKMWK+2K7sLgs7u7swkOWRReWxd3dvVBKcS/uVtz9fSdDIZlJcnMzSSaZufm+972luZF77k0m+eV//oc0dJXzpobJjXxJzb6tV5cCbC0FIAOA5OmgFwDc3rUUZE2RgHwCClqIpQBX80kDWMBEbumz8iQsCrup4Ajfm+Dz5c+FzZMCjNkqaLEktej10Z8qaABw4d4LWH38NmRLkQDw3v3DDz+I7sIeANortWmOK6UA/PT5Cyw4dJ3LumhQOD14Jfn+wZVm/3q13Xz6nmwxJQYA9Yq8++yXAUD3GUtL9cTTAWB9v3TwZ518ho3ZrvMPoNnsw4LjuQUADMgM0/fSA0AxryWzAMB/91+BpeG3VM0NKwBATI/ptUJYgEWqszQAMPLlO/BzUwAopvDiP+CpAoAiHyb44/Bfs0JQxs0BYPfy2eHglUcQcumRqutNyUYMACqJkj5tauRPA1vP3ledAmw0ABxRMw/0W3VaMhjuAACnNvKFtgvMnQJ8dmgFiBcrBjcODACSr00rAMCTt55CtUkhgs4wAGgLhxkAIIK2gNG74N3Hz9w5DaqaC5oVz6QIAMaLFR3ODq1InqgiLaQAIP/jBlYZPtA7EOLEFFqvqDqgRhsxAKhRID14NwwAevDgu7LrDAC6HgCOq+cDXZcalwIspgA8Obg8JHSBB6CzAHBw1VzQtHgmzmdv+PqzsOn0PcnLif9wRVIAbu5cEipO2Kf60kRPxD7BNg9AGgXg/l5lvn3h1FsBSAMApzcpKGt0zE8BfvDirYPXJj+QVlYAkgBgzSkhnGKUZjnUt6ysx6QUAOy8+BisPn6H5lDAVwCevv0MqvxtjhRgIwDg/OZFoES25Fy8xBSAO7uVgsw/2VQuqOJEmMtf9EoB/sU/A8x1cwWg0wDQLrVMaRVgtQpAEgAcXScf9JRJAW5bOgv0+poCbFYFIAOAtqs754DN8ObDJ6r7KKkxzp9GRTI4NKv69344dfuZ4O9SVYDRL/PWE7oqwGoB4L+/+kHzOdJFQLRUAJoJABbLkgwWttS+CvCXL18gU5+NgnHGKsBWUACKeU9LgUn756G4MaPDuWHqAGDQuD1w6cFL4rUhdW2Rrkm91jMAqFdkPWe/DAB6zlibqqeeBADFXrTNoAB0CwCoMgVYCwBYxjsF4IP187cfZa8t/kPMszcfwGfIVsn2WgLAm49fQ8nRylKASQAQIUXg2D2a3EO0BIAr2haDghmScOf14Plbh1R7KQA4flsE/LXDOh6A3gM2wdsPti/jUQt/XqnxAAztUxaKjtohOab/NS0EOMftFzMAQPToGrv1AlyJfAU7zz9wOEelHoAMALp3CrCrACAW45i86zL1/XJ4jTzQf7W0ApAGAO6NeAi/zAqjOgfaFOCh687CrJCrVMewGgCsN/0ghOngAWhWAHjn6Vt4+U7+mcZ+wBkAFEYEny9r5E8LIzeegyPXn8DZu88FDRgAdLxlSFWqFru52APA2DGiwYXhlajuQ1GNlQLA34pngoFVc6k6hh4bbT59V7aYEksB1iPq7rVPBgDdazwt0xurAsDZIVdhMKUHoBkA4M7z9+G32cIvrWYGgI1mhipKy8OUVzUegGJeS32DvaFVQJZv15CcsT4qALEgw7Ij5FRdGgC4qVNJQKWk2oWvAPQ0AHjv2VtZoMUfB6sBwDyDtji8lPH7U2fqAQi//oRq2hzsEwj+o3ZKboMG7YHeKU0JAEnXPQ0APHD5EeD/9FrmNS8MJbP9xO3eTArAJkUzwLxQBgDlxt3eXF6pAlAtABxWIw+gAltqGU3wT+UrAM0KAKc08oV2Jk8BPjOkAsSPbUsB9jQAGHFfqIZScl+cUD8/dF5yXElTQRuyAjAAsqb4kXq/YhuIKQCr+qSBvwkegL1XnITFh+k8ABEAvv3wSdIv3GgA+EuxDDB68wXJOJohBZgBQLppzgAgXbxYa8cIMADIZoVLIsAAoLEpwG4LAFV6AGoBAJWCYCsAwH09y0C6pDaTY7EUYC0VgGIFWKRuQqQUYL4C0JMBYN1pB+DwNToAiIVfiv9hTQBI+tFiAJAUIYDGRdPD/NAb5IYWblE9fxrY5owHoMoUYFcBwDalskDvSrYqwAwAqp+4RgBAMVW3+jO2balFCjADgMJRUAsA+6yU9jlmANBxppsdADYrnhEGVc3t7CWq2fabTt2V9VJlCkDNQu22O2IA0G2H1twd8yQAKJZqV8/PC0bX+V7FU+/REgOAY+v6QLdlrvUAPDGoPCSKG9Oh+41nHoL9lyKJYUHFm5oiIM4CQDQoRpPgz1+IpygwWCalAG/sWBKCJ6pXALYKyAx9v3oA0igA+QBw4JrTDt5grgKA0xoXlK10tqKtPxTMkJQbhLvP3sgq2qysAMw7aAu8sEvL4vdHjUoF077lqkSjOqNsTnMqAElXnZkA4NzfCkNAdmkF4I5upSCLCzwAGQAkzSIAtQrAdqWzwJTd9CnAzioA+QBwT8RD+NWEKcBWUACeHlIBsLIoLmrurVIzi3/PNhIAVpu0H07eUuYBaCQAnPmLH7SYK+cBqJ0CUMxfVU8FoBwA9M+cDBa10t4D8PPnL5C5r6MHoBUUgFI+lWLXkn12TqwY0SBC5xRgBgDJv5eshbUiwACgtcbLbc7WkwCgWKodA4C2qew0AHRRCjACwD83n3fwZRO7QAUKwNcfwGeotAfgho4loPJE9QUStACAYgpAhBRlXeABqBcAHLctAiZayAOQBADVVKpE6CvnESkFALssOQ6rjt2m+i3SuggI6eA0ABArAGMlYL0WPgAMuRQJjWYeEhzKVQCwUZH0sOAQUwDKjbvhALB6bhiw5ozkKZFSgK0AACc39IX2C81dBdiqABA9JBsXdSwCwgCgeIElJQCw1/KTsCScLgVY7AMz/6J2BgAi5Jtz8BpcuPcCahf0gkIZbR9AcWEAkP5XvNy4PXBRQREQs3kAMgUg/VizLYQRYACQzQiXRMDTAaDRRUB2nLvvUG3NkxWAYtUWaTwAEQAiRHpBKACCF5erAOCNR68hYIyyIiCkFGAtASBNCjANALzz9A0Uk0lp5Y+D5QDg4C0Oc43fnwb/hFJDLBIARHVGUC5HBSADgHQ/mXN+KwylTKgAbFgkPSx0cwBYzScNbD93H7CyqZolYZwYcHJwhW+bKvUAVKsAHFo9NwyUAYCkAkoMAKoZZcdtGACki+P4+j7QZYljNglpLyQF4LYuAZAtpTYegGIKwCr5UsOkhr6yp6kHAHQmBXjG3iswYuM57px/+AFgT/cykD6Zzb5FCgA28c8AY7aY2wPQGQWgM0VAlAJAsykAN566K+ulylKASXcftp4BQDYHXBIBTweAGPQ8aRPCn7XzQe40iXQfAzEA+L+6PtDdwBTgihP2wvl7LwR9dVoBqDIFWAwA9qnkDa1LKSsCggAQq8g+ff2BOHY0AHD97yWgyt/aKADVAkCxFGDXAUBf2Upn/BRgTwaADWeEUhey2NujjCwgnvGLH5TTCABi1d64saJz18qpW8+g6iT1c5x4wQGAUgVgt3LZubjpqQAkAcDtXUtB1hQJuG6JvaTiOEW94En1Xa5gkdQ2DACSZ5JaAIjFOKaqSAEmAUDSxxMsjtOnUk6uY7svPICm/x0md5LXwogqwFZQAJ4aXB5+jGOzJrFSCrCzCsBsKRI4qKGUTCAGAIVR0lMBaH+v51+znz5/gSwiKcBWAIBSKlWx+adlCjADgDfBy8tLyWXO2rhZBBgAdLMBtUp3rAoA5xy4BoPWSqfoiMVfrtpmkUxJYUlrf92HzbQAcGB5SBTPCQ9AlSnAzgLAgVVywcSd9ADw6ev3kH/oNsnxdhYAtiyZCfpVzsXtX0sAiJAiaNweTeYp6SWWf5BpjeUB4PI2/uD3NQXm9tM3skUtBArArRdg4s5LmvRHr53wz1dMecRfr7RqNv9c9/QoDaXG7JY8fSsDwBYlMsHM/VeJQ4MAMORyJIReeUxsq7bB7GaFoHSOFNzmYinAfAAoVqlSLwDYoHB6WBTm3inArlIAqgWAQ6rlln2+IN07rQAAJzUsAB0WHlN7ORmynQAATjsIYde0uT/w79k5+m+Cdx8/a9ofKQBYfdJ+OKHAA9CdAeDxm0+hxuQQQbyVKAB7Lj8BS8NvUY2T2PMlfwfOpADbwy+vJHFhf69AbvcMAFINE9eYAUAGAOlnjXtswQCge4yj5XrhSQDwQO9AxamJeg3k9rP3HcyWjVYAVvprH5y7+1zQxRMMAArioSUAvP7olSzg4R+YVATEVQBwaiNf2UpnngIA8w3eAs/t0s35L5NKi+bwx3x399JQ+n/SAPCfJgWhfO5UDrekrkuOw0pKD0AzKwA9FwCmg0VhdN5Wev0+6bVf9PjCj19qU4CxQBWq1KMWpSnAagHg4Kq5QK66vNkA4JB1Z+C/kGtUw2cVABg/VgxYe+IOdF5ynKp/co31BoBYRKaJiAeg3gBwXD0f6LqUPgUYPzK1lCkComUKsLsCwJ9+jA2H+wVJAsDUieJwvpBmTwGWUwBiajMu0aL9wP0/UwACbDh5V9ZLlaUAa3bbdtsdMQDotkNr7o6JAcA/Np2HaXukK+fJ3dCM6q0aBWBI70DFyiS9+mEGACiaAuwiAIhfyvuvPi0IN00KsBUUgDQAkK8yEksBdhUAJFWM5APAW09ey1a1tbICUA8ASKrsPL1JQaggAgDVeACaGQBitfFDV7VR+Ijdv82rAGQAkPR7azYAOKpWXpCrLto6IDP0+VoFfteFB9BM5xRgdwWAJweXh7FbLsCcg9dJU4RqvbsCQCk/aVJwXA0AK+dLDZiSLreYXQHIL1SkpwLw5buP8Oem83A18hVgBfmKeVKThpdqvRQARNV8h4VHuQ+gPSvk4Gx6GABkAJBqcrHGohFgAJBNDJdEwKoAcO7Ba7Im3WLBNCsAHFMnH/RYftLhlPUCrWYHgL0reQOaqEctcr5aagHgk1fvocAw6RTgdR1KOOWPxk8B1hYABkDQuL2a3CtIL7H8gzAAaIuGHgCQ5OuoFwAUS3PVZGLxdkKTAqw3APyvWSEoI5sCHABZU9iM7o1NAWYAkDTv1AJA/B2R+5gpdVySApB077QCAPy7QQH4fZG5U4ARAOYbvJU0PajXmx0AZk+ZACLuv6Tul14KwK1dAiC7RkVAxBSArgKARTMnhcWtvlv/2D9rpk0cF/C9QWyxb/tj7BhwaoitUNHHT58ha79Ngs1SJYwDWngADl9/VmCrwc8aoZ4wIhtIqVTt3xuO9A+CgsO3C/YQK0Y0iBheSdVpWDUFeP3JO7JWCkwBqGo6eNRGDAB61HCbp7MMAH4fC72AG3+0t52975BqYQYAeHxgOUgcL5bDxFSa0oieR9P3XKGe2GIKQBoAOKBKLvhbhQeg3gAQwUf/KjYPwGuRr2RTPPlBIysAXQMASYbxy9r4Q6GvHoA3H7+GkqOlqx7zr7OxWy/A3xbyAPQZshWevREWnOH3p8m/h2DfxUiq64Ck6sQKzBXzaJMCfHZoBYgXK4Yk5KI6cQWNlQLArugBqLMC0KwA8OdC6WDxYZYCLDed7AGgGIgX214tAMTiUkPWnZU8JVJxAQYAFdwcFDTBtG+852q98O/Z2ftvgvcaewA6mwKsFgDqpQA0AwDssewELDtC5wEo9nzJn0uaAsA4MeDU10rlYgBQqxRge/BYPX8a+OvnAppdIkrT1MU+kjgDAMuP3+MAvfE6te9v02IZYXC13Jr119kdMQDobATZ9gwAsjngkgiIAcBRm87JwhwjQBkpGGoUgPt7lVGcmkg6vtr1DAAKIycHALecuQfh1x7DjH3SRQT0AoBrOxSHapOERtU0Y84AoDwAxBSZ8dsiYNIucxcA4QDuH5W/Db0eABD9lcqNl1Z1YgEWsTQfNR6AZgaAqAAM0zEF+L+mhaCMt1wRENcoAOv7pYMl4e4NANHkf+f5B6o9ABPHiwnHB9J7AKoFgKgsH7peGgCSigu0CsgMfaNSgM8/gGaz9a0CrCYF2AoKQHcBgF++fIE1x8V9DMUgh1oAKOUnTXp2IaUAawkAj914AjWnHBCckhIFoOkBIEEBiACwUZH08L+tEZLDoeTdyh6I2UNM0liT1isFgGIfSWJFjwYRI9QpABkAZEVASHPTXdczAOiuI2vyfjEA+H2AlPz4OjucYgBwdJ180NPFKcCuUgDil/IBdh6AqADMnDw+tJp3hBhuvQDgmvbFobpdpTriyfAa8AEgerWUkSnywN8vVoTNkCw+9ycxD0ASLKI5R1IaG39fJMN4WgXg3oiH8MusMJrTdVlb/n0h/9Ct8PS1tgpA0pjqBQBP3Hzq1BxXMiA0CkBXA0C+0b2RKcAMAJJnkloAqFaZTgKAJGWRFQDgxAYFoKPJU4AtCwCr54Ym/hm/TeyFh25A31WnRCe6GABUWwVYrQIQC03JPW/pDgDzpobJjeQ9AK0OADEFGD37GAAUv98rBYDNimeEQVXNowBcd+KOrJUCSwEm/757egsGAD19Brio/1YFgPMOXoMBa85QRQ29MpSmJlLtmKLx1jP3HB60GAAUFgFBADhhewS8/fCZGFm1APDxq/fgK+MB6CoAmCFZPKiePy10DMzKKVDm2pmfk2ARMWC8BqQ0Nv6+SGoRPgC88eg1BIyRVwAWHbkD7j1/S3O6LmurNwDEl6vyMgpArMBcKa+j0bezCkBPA4CzmvpBoHdKbh4duBQJDWceEswpVwHAen5esDScLrXNZReDygO7SgGoFgDi78owGQUgySOQAUCVE8VusxMDy4PPUJ1TgPttgvefyM8aND0aZgcA5XyMtQSAahWAJAC4pXMA5Ehl80d1dhFVACoAgN2XnYDllCnAYh+Y+eevVwrwh0+fIZuIByADgNKzRykANFsKMAOAzt4R2PYMALI54JIIiALAjedg+l5pPzcjlHKkYDAASIqQ9HqxIiDHBpSDJPGN9wAUe0DrVdEb/tx8XlEH+1fOyaWR2quyxDbmz1sSAFzdvjjUcEIB2LxEJsCXSFxoFIBR5z2kWm64/PClaQAgSS2ytLU/FM6UlDt9JQAw54DN8ObDJ0Vj7OpGegPAzZ1LQsUJ+yS7iQVYgsUA4NLjsPLobarw8FOATQcAL0ZC2DX9qgCbFQDWLehF7W1FNegmaIwpfrucSAFOEi8mHFORAqwWAOLvyvAN5yQjR1rPLwK18/x9+G12ONUoVFYARPg7HLz2DMw+cI3qGKR7OtXOdGrMACBdYBkAFMaLBAD9MyeDRa2KftvIqSIgPA9AMQBomRTgySGAzwb8RQxSsxRgW4QYAKS7R7HWjhFgAJDNCpdEgAHA72E3AmyaVQHoLABU67XkCQDwysOXEDh2D/X1/at/BphjpwAkqcVoDkKjAPzr5/zQafFxyd3zASCp6jFeZ1YFgAWGboUnGqcAb+pUEir9pQIALjkOK4/RAcAzQypA/Ni2IiCeBgD//dUPyua0KQCx4EgjkygAGQAk37VUA8CAzLIfM6WOTAJ8pI9UVgCApHu6VGxQzbn+5F3yoGnQggFAuiBaAQAevfEEatl7ACoA3nooAI0GgA0Lp4ex20zuAcgAINVFt/bEHVkrBZYCTBVOj2zMAKBHDrvrO80AoAkAYO180HPFSYfJoBeQpFEANpoZCiGXHhEnqlqlBabK2Kdyk16u+CejVgH46OU7KDh8u2S/VrUr5mBUTQwCrwFfAcgAoDByDAAK47GxY0kInigNALECMyqo7Bc1KcB8AHj85lOnVK5KrgcqD0CdFYAkAMj3uTLSA7BOQS/q1DYlsTdTG5cpAHUCgN3KZZd9kXdnAGhk1Wr0Js4/dJvmU1lQBdiNUoDH1MkHPUT8pEkBNDIF2FAAKPJ8yY+F0SnAWASEAUDx2WjVFGAGAEl3F7aeFAEGAEkRYut1iQADgMYCQKxs29quuMVoBgAFc5sBQFs4fvHP4JACrKUCkFTJkj8oJLUIXwF4LfIVlJYpeoIvX7kGblZdEVSXG6HMTvkviyQFIBY2wQInNMuGjiWg8sT9kptgAZYq+dI4AkAVKcBmBoD7Lj6Ew9ee0ISOqi0fAIp5ALoKANb29YIVR93bAxBTWnddUF8FOGn8WHB0QLlv45138BZ48fYjcfxbqwSA/YJzwoiN0inAHctmg4k7Lkoenw8Ad5y7D83nmC8FmHRPl+qckUVrrAoAh1bPDb/wioAY5QGoFgBOb1LQ4bmUP/5oU+GdKiHxelPSQAwABudNBVMaFZTdvNvSE9T3SbEPzHoBwIRxYsDJwRW43b//+Bmy998k6A8WAdEDAOJBelTIAb8WywgJvqr7lYyDVBu0vsGPg/xFaQpwzOg/wMURwaoOX2H8Xrhw/wXxuGbzAFxz/LZsdgxTAKqaDh61EQOAHjXc5umsGAAcufEc/CPjAYheSgHZfoIY0aO5rCNW9QA0KwDElyt8ybJfGs88BFidk7SoTgE2qQJwZbtiDmkqpBjw1/9WPBMMrGrzAEQvv7IqUoDFACCacVeYsJfmVCTbagkAl7QqCkUyJ+OO5c4AEAvHoH+k/cNx1L/VAMD1v5eAKn97NgDsEpQd9l/SFwDO/MUPgnJJFwFhAFCT24roTrQGgPkGb4HnCgAgFuOQe5aR6jEJALYvkwUm77osGTB+FXgGANXPKwYA6WInVVCOtBdPBYB6pQCLAUD0AGxQOD2M0zgFOGpsi2RKCkta+5OGmrheKQAUq5TOAKBjeBkAJE45j2/AAKDHTwHXBEANAMQzLZktOcxrXsSQk/746TNnkv72wyeoXygdxIsVA+aFXocBq4XVY0kns7dHGWJ1UtI+nF0vBgD/rJ0Xeq045bBrI1OAzQQAe1bMAaM3X1AUarUpwJEv34GfTAqwWQEgqWCEoqB9bUTjATihfn7ovETaA5APAElFT6ysANQDAK7rUAKqTpIGgFiBuaqP9gpAsWqMNPNHSVulKcBmAID8SpdGpgDX8k1LXcxFSezN1EZrAKhUAagXAGxbOgtM3c0AoN5zDL2JCwyzXgqwqxSADAAKZyRJAehOABB7HtI7ENImjuvUZekMAIwVPRpEjKik6vhMAXgTvLy8VMWObWTtCDAAaO3xs+zZqwWA2GF8cc3rlUj3vnflpbqlSRQHimdNrqpq4p4epaHUmN2S56sXcOMfcPPpe9Bm/hHBObgDAFTrAYgPygPXnBHEw90A4KUHLyFoHH0REDEFIKlgBM3FSKMAHF/fB7osOSG5e08BgAWHbYNHGisA13YoDtUmhUjGFqt1VtMIAJ4eUuFbmpDZACCmAIdf1y8FmK8AFCsCQgKA+PuRIVl82UtMLtVPasNaBdJSF3Ohuc7N0NZqALBvsDeM3ChdiZ4GAG4/ex9azKVLAcYxo3keUVMFmPRRR2reGJkCzAAg3dUrZSdD2ouRCsAj159A7akHBKekJAWY/x5A6k/UerHnS/62WgJAUgqw3gpA7BdmE+RJ69w7mTMAkCkAHWcmUwAqvVo9tx0DgJ479i7tuRgAHLHhLMzYd5V4XggQGhXJQGznTANU/2XtJ/TSULs/BgBtkRMrAuKsApABQOGs5KcAqwWATYpm4JSu/IXkF0dzbdAAwHH1fKDrUmUAkFT0BB+Icg/cDK/ef6I5XZe15T/A6QEA17QvDtUn0wNANZ5IZgWAnYOywf6LkboCwBm/+EG5rynAUrKYDgAAIABJREFUDAAaeznhC/7uCw9V+37aewAqTQFGLz4lzzL20ehTyRtGbZIGgCTLC34RKHcDgPX8vGBpuDGelfhcgqprrRe9i4AMqZab82SLWozyALQqAKyUJxVMbSzvAWglAPju4yfI0X+zYNpaBQDWnBICx26QPQBZCrBteJkHoNZ3Z8/bHwOAnjfmpuixMwBweI080LiovgBQ7IdUbeAYAJQGgEf6B0GyBLEdQqu3B6BZFYAr2hZz+EpNM++aFc8Ig6rm5jbREgCS/OJozpEGAI6t6wPdlkkDwMWtikLRrx6ADADSFQFZ3b64bDVeNOuvnj+tw9AyAEgz2wGcBYC7u5eGjMm1VwDWLJAWVh27TdcZi7XWGgAqTQHWCwCSPngxAKjNBGUAkC6OagHgtMYFHTJT+EfGzIOcqbUpAiKmAPQUAPhzofQwfnuE5KAqUf3KwWQtFICuAoBiwgSx4iNmKwKy+thtWXscpgCku4d5YmsGAD1x1E3QZwYAvw+Ckh9fZ4ds8+m70Gb+UcFu/qiVF3qvdK0HoFUBIJq1T959CZ6+/kAcGv74PnzxDgqN2C65jbYA8AUEjaMv3CGmACT5xRGDwGtAAwD/V9cHuisEgKSiJ1ZWAPoN3waRL6WLgPw6Kwz2UFYBXtWuGNScIkyJ4o+jXgBQrBojzfxR0lapByAqAPddjAR8OdRr+adJQSifOxW3ezEFIL/SpZgHoF4AsEb+NLD6+B29um2K/ToLAJPFjwVHVFQBVgsAe1fyhj9kFIA0AHDb2fvQ0oQpwCRbB6mJwxSA5EvKagpAdwWAOA6D1gotZvijp1cKsJQCkAFA6WuHAUDmAUi+s7pnCwYA3XNcTd8rMQA4fP1ZmLmfnAJsNQUgvsCV/p+rPQAZAORfFGIPaD0q5IAxW5QVAfE0AEhKF6W54eD1219hIR0GAG2R1QMAkmAzA4A0s1q6rbMAcFf30pBJBwWgJwBAVPggGH+tMu3fHgAqTQFWCqDtZ02vit7w52bpFODWAZlh+t4rkpONbwFhBAActOY0zDkotIsgXTVqAWDdgl6qPJhJ5yO2Hj9MFpQp1qVmn7iNu6YAS/lJk+JkLAB8DLWnHhSckiIF4JLj1F6pJABYLEsyWNiy6LdzsVfXYUENLKwhtti35XsAWhkA1poSAkddkALMACADgKT7lLuuZwDQXUfW5P0yOwB8//EzZO+vjQcgvsCVYQBQ1APQVQpALQDglN2X4ImHKABJajGa2w0NABxTJx/0WH5Scvf8FGBSyjNTAArDuKKtv8MLEb8FmvXXKKBNCvCpweXhxzgxud0zBeAhwUCQFIB6AcDq+dPAGjdXALobACRVF2YAkOaXSLotA4B0cbQqAKyYOxVMa2LzALwW+QrixooOKRPGEXS+qwoASIqeXgrAtx8+gfcARw9AKygAGQAkzRrh+lXHbskWyGMpwHTx9MTWDAB64qiboM8MAH4fBFelAI+qlRf6GJgCXGH8Xrhw/4Vg9oX3D4LkLvAA1AIAqkkBfvDiLRQesUPyCiRBGdKly/cAvHj/BZQbT58C3LhoepgfekNwKJJajHRe/PU0AHB0nXzQUwYALmpZFPyzJON2rwQA5hm0BV6++0hzui5ry78v+A3fDpEv3wnOhb++6X9hXLEDmmV5G3+oM02oiOBvj7Gv55fOYZeYkr38CJ0ZPx8Ainkx0Zy3krZKFViYArw34qGD8kDJMZS2wUqXFb6mAGPBkcb/0gFALMCTO418hUU1VYAZACSPYPIEsSC8f7lvDfVWAJIq0dMAwK1n7kGreUfInbRrQfM8MnDNaZhLqQAkFXaSOmF3UwBm67cRPnz6Qj0+chsMrpoLmhbP9K2JUUVA9AKAGzuWhFxptPIAdFQARgHAfqtOwYJDNwCryY6qlQ/qFPT6FkN3AID1C6WDCdsvSk4dJde83h6AzgDAGNF+gEsjg1VdS1ZVADIAqGq42Ua8CDAAyKaDSyJgdgCoZREQMygAN526C20XCD0AGQAUerTQpAD3DfaGKbsvU3sA6g0A+UbF2gJAebUYzU1EPwAo73mID7lWBYDoG4n+kfzFWQC4rI0/1JUBgJXzpYbJDX0ZAKSZ3CJtSQCQb3Qv5gGI0KdvcE7Zs1ADAKv5pIG1J9zbAxBf8PdeVJ8CbA8AlRYBwWIc/yqwM7EfVNJvEMlbkK8AZABQ/YWLHybxo4vWC/+e7U4AUMpPmhS/aY19Hbyp+dsYAQD7BHtDqTFCix7+OHVZclzzYklGKwDdCQAOqJILhq0/K5haDAA6XmlMAUi6+7D1DACyOeCSCIgBQLypK3lotpoH4M5upSBw7B6nvr45O0hmAIBiX9pcpQDEL+WD1wkfIkgvX/wxQAA4dfdl6hRgIwFgxP0XUF4jBSAJFtHMTyoAWDsf9FwhnQIsVACSAaAaUELTNy3b8h/g9ACAS1oVhfr/hMqesthDJFMA0o2yswAwXqzocHZoRc0BYFWfNLCOAUDZuJoNAJKUrXwFuBEAcMDq0zAvlM4DUK0CEFVZtMpjuiv1e2sGAOkiZwUAGH7tsYPiHT8QlMiW3MGTWG8AqJcHoFQKsBUAYO2pBxyKcYlV42UA0HZtrjx6C7ouPaHqvVLs/Zvuimet3SECDAC6wyhasA8MAH4fNCXye2eH2AwAkCYFuNHMUAi59IjY7TalssC0PZeJ7ewbuAwAPn8LhUfqlwLMVwBqCQCVwCKlgzCsRh7AF0clCym1iA8ASYrHq6OCIVOfjUoOa4o2egNA9E/82SAAeGxAOUgSPxYXVyNSgElKqagB7lQ2G6cQO2ZnPq7lBECj+4p5bFWAxVKASQrAH+PEgFODKzAAqGJQtFYAKk0B1ksBSAMAt5y5B611TgFWAwDH1vWBbjKV3aWG2UgAeLhfEOBHF60XpgAURtRIBaAYAKyQOyWUyp4C+q46JTgxKwHARHFjwolB5bnz91QAiKnbF0d4VgowA4Ba3509b38MAHremJuix84AQAQITYpm0LUfYj+kag+4o1spKKuxAvDEzadwNfIVlMr+07cXa7nz23jqLrSzSwEeWTOvw4MP7kMvIMkAIMADAgAk+bKR5qAWALBRkfScHw5/UQKLSOcWtZ4GAJKUBQtbFoFiWZJzuyYBwLB+ZWX9F5Wev1HtaABgs//CYBelByDC0wYzjFEADqueG5r4Z/wKAB29mLSOKQmUmAkA8tPcxFKAE8eLCccH2l7wpBY1ytYq+VLD+pN3tQ69qfbnPACMDagGi1pcDQBJYJGvADQCAPZffcrBL5Y0ARgAtEXI1SnAYh/EsqVIABcfvCQNocN6KTsZ0o7MAADL5EgBve28sPm/vZ0XH4PVGhdL0lIBqAQAopfvXzvM7QHIFICOVwtaUT14/g5++jE2xIkZXdBgxZFbsh9SWAow6e7D1jMAyOaASyIgBgCHrjsLs0KuEs/H0wHg+pN34PdFx+DLF4BUCePAtq4B3ypsSgXPrAAQv7Tjj5v90njmIdh/KZI4F1ylAOxTyZtTHtJWATYSAF649wIqTKAvAiIGABG0NZwhLF5AHByJBnoBQJLiMaxvWVn1pdr+6LUd/wGu8Ijt8EDGA1ANAFzYogg0nCk/plqlAJfJ8RP816wwF6oj1z0NAPpCxTypub6LKQBJADBZ/FhwZMD3QhRi800NAESPxw1uDgBR4bPvYiS8fv9J1WWKBarUAED04lPyLGN/Ut3LZ4f/bY2QPFfSfvkfgBgAVDXk3EZWVQAOqpoLmiksAqIlAJT6mEwagamNfB28qfnbKCmARDpG1HopBWCgdwrotUJaAcgAoC2CehcBYQBQOJPR8/mXWWFw7u5zyJw8PsxtXhi8ksT71ogBQKVXPmsnFQEGANnccEkEGAD8HnZaxZ39DzF617Uvk1V2HK0GAPVOAcYH5SFOeAAyAKj+tkEDAEnKAr4CkAFAuirARgJAVCrP+c04AEiTArwn4iEcv/lU/YQmbIkqlygAuO/iQ2jyb5hgi0kNC0CVfGm4v4kpAPEDCQIJuYUBQPHouBsARIXffyHXJKcCHwBuPn0P2szXtwpwVPVUmovnf3V9AH1EaZfavl6w4ihd9XHaY0S110strncKMA0AvDIyGDL3FVpiGK0ANAMALJszJfRcLvQZtqoC8M37T5Bz4GbBtE+dKA54kgIQs7fwf4nj2SxHSIvSKsC/+meAIdXzkHan2fqxWy/A3zsvfdtf46LpYXiNvN/+zQCgZqH22B0xAOixQ+/ajnsSANzetRQEjdOuCIj9y55PusSwpn1x2QFFpUf7hcIqwCNq5oF+qxy92GiBpNKZJJYCLKUAdAUAJKkv+P1UCwDvP38LRWQ8ALVMAXYHBSBJWcAHgKT+urMC8LfZh2Hn+QdKL0Wu3YIWRaCRjAIwR8ofYUuXAId99lh2ApYdoXsRD8j+E8z9CgDFlBhUJ66gsZUAYLqkcWFfz0CuV6duPYOqk/YLepgyYWw41JcBQAXD7tDEagCwW7nsMHabtAIQAd/sAwwAqpkLNNswAEgTLQDS77TU3owEgIevPXaoel8+V0oolysl9LADgKiO/OGHH7jTtpICUAwApkkUB+r4pYOJJk8BrjP1AIRffyKYKrRFQDC7AH1PI1++h1q+aQHtBqLGUWoOmhUAin3U47+bYUEkuQ8pLAWY7h7mia0ZAPTEUTdBn8UA4JB1Z2S/bkedthEpwGI/pGrDxgCgLXI0AFBpCnDb0lm4ary0i5gC0AwA0Nlqu3wFyPl7z6HihH20oQHRFGAF6aJKD0SjACS9WKCKrVhWmwcgqb9WBoBFRm6H+8/fOTwcR/1BDQCc17ywgxqNf4COgVmha/kcDsOqBgCWzJYc5jUvwu3LTACwIxYB0VkBiC+5lfLaUoDFFID496iHdTEAiC9wB/qUlb28VCkA86aGDafc2wMQX/DRSsLoFGCSUk9qMLuWyw7jLAQAsXjCQju/WNLvAFMA2iKkhwegqxSApN9pqTlhBgBYIXcqBy+1yyODIXo0GwDstPgYrLGIB6CUArCuhwDAmlNCBAW9VrT1h4IZksrekir9tY9Ls+UvYuCR/2xNusdpsZ4BQC2iyPYhFwEGANn8cEkEnAKAPEN5vU7eUgDQKxGs6VBCNhRmVQDil/YUP8ZxOHelAFCtB6CzALB3JW+YrsIDkKQAdBYA8tMUSEBMasI0LJLe4aWOpBajuQ6xIMSANWcUbdI6IDNM33tFsq2nAMCiI3fAvedvHR5So/6gBgCiIg89ZqSWzkHZoHNQdofVagBgiazJYX4LcwJATAHGokp6Lc4CQK8kcWF/L5tCUGpRAwCD86aCjafu6dVtU+zXWQAYlX696dRdGLT2jIMPp1QnPQUA9ll5ChaFCQtGkQZ+TJ18Door0ja4HhU9K4/eVtLU6TZ6fSzSOwV4YJVc8FuJTN/6L3dfQMiVRaMUYL0A4PrfS0CetIm4lE58dkqZMI5DMQSlgy2lAKyUNxV0WSJMSb84ohLEjB6N2zUDgLYI6+0BqIUC0P4c0ed2ckNf2SmiFAAanQLMAKDSK5u1UxsBBgDVRo5t51QEzA4AX7//CLkGbnGqj1Ebb+8aAEHjpIsx0KbcOqQAMwBIPU74oDx0/VnBdjQKQLUA8N6zt1B01A7J89USAOJXTXy4oV3MBABJ584HgKT+6vVSRzpHtev59wU9ACB68v1qEADkVz00mwLQ7AAwQ7J4sKdHGdlpxACgeHi0AIAHegdCoRHb4enrD4ovZbUAsEtQdhi/XToFGF9C5xy8LnkeQg/Au9BmvtD2Q0kHaJ5HGABUEtHvbfixzdp3I3z8/IVuB4TWrgKAUnYypM5NaeQL7RZIz1EEgEnix4ImMw/BlchXgB6F+CEJQSDtIgUAERJ1WnxcsLsLwytC7Bi2qqtWAoBi7y3oAWgFBWDdaQfg8DVyCnD/yjlh+IZzgvFCtSYCbfvfQax0P8lNAeCy8JuyH1JYCjDtHcLz2jMA6HljbooeawEA8Ysg+iBgJVz8OkzyeqDpuJYAcFuXACg3XhoA8v1GlJyjGgCIlYM7LDwm2P3wGnmg/2rXegC6SgHIAKD0TBMDgPObF4HG/2pUBZhCAUi6HhgAtEWo+ezDsIPSA3B2s0LQ9L/DkiHWUgFYNHNSWNzKnzuW2IsYaZxp1yv1AMQUYL0BIL7kBn9NAcZ0YzHVZdTDulgREKwAuLN7adkQqAGAlfKkgk2n3VsBiP5eIU6kAKMCEBWcdaYdpJqCJK8+qZ05CwD5KpXNp40AgCdhUdhNqtgwBaAtXK4GgJdGVIKs/TYJxi5rigRw6cFLqvHExnoCQAQdfOjdKiAz9A3OSX2OYVcfQ73pwusYPxBU8UkDHRcJn43PD6v4TWmI69aeuEN9PLkN+B/EsJ39/Ttt4rgQ0ltc9W3fNlHcmHBiUHnucGLvLZwHYEEvmMgrKGF/bkqgv9xvzLoOJSCvVyKnYiQGAMUqVTMAaAszA4BOTTe2MQAwAMimgUsiIAYAB689I2twHXWimEJYr1A6KPHnLsBS6bj8HpgVuon4Vant3Kt3HyH3IG0UgAwA2kah/Pg9EHFf+HDpLABU6wEoBgBJBuz8uaSXAnBpa3+Hh1SaOcx/ASQp4qT2KwYASX5xNOdIkwJM2i+mJhf/6gF49s5zCJ4orXh0ZwWgGgD4X9NC0Gy2MQCwSKaksKS1SQHghQdw4tYz0lRTvd5ZAIgv5egjK7eoAYAVc6eCzWcYAJSLa4ofY3MKEntwQJoMagEgQvcJ2y9K7v4X/wwwV0YBaAUAOLpOPoeqq6R44nojU4AP9S0rW6xLyfmKtTFTCrBVAGCVv4VFkTCuSoCVffzFACB+IKieP43Dx/GzQytAvFgxuF3oAQCLZ00GC1oU5fb/5csXyNRHWI2ZBgAmjhcTjg+UBoCcApABQMlL1qopwEvDb8reR5kCUO1d2nO2YwDQc8baVD11FgBGjxYN0ICav6h5KJAKipEA8MrIYIj21XBYySBZVQEoCgD7loUUIukcensAOgsAe1X0hn/2XoYnCtLC+PPy7rM34D9qp+QwOwsA8QVxaPU83P5JQEzqJBoUTu/g66QlABxaPTcMVOgBSLoePAUA+o/aAXefSXsAqgGAs5r6wW+zwyVD3KlsNuhSThsPwMIZk8LSNgwAkhSA6EVYfXKIYEykqjHzGzEAKD6NnVUAIgCc3MjXoXoo6b6kFwBsUjQDzAuVTgHmA0D0LWwrk14p1Qea56jeK07C4sN0CkDVALBAWlh5zBgPQE8AgOhzl00jBaBUNgnpOlGSAqw3AKyRPy20XyhMQz49pAIkiK0fAOQrABkAtM0SMQUgvhtltvOppFEAVvVJA383KCA7DRkAvAleXl6kS5Wtd8MIMADohoNqhS45CwBRSWb/IEzz4EqK0ct3HyGPQQpAZwFgPq9EsJZQBGTdiTvwu12ag1Q1Vi3jyI+zWBVgVGW5AgAOqJILhtl5ANIoAM0KADHePl6JYMLPBQAL2cgp4mgAIKlgBOl64q/XCwCeufMMKk90VAtEHdvKCkA9AOC/v/pB8zn0ALDn8hOwNPwWzZCDX4YksLxtMW4bMSUG1c4UNKZKAdZZAYgm5OgzhYsaAOid6kfY3DlAttdqAGCF3Clhy5n7CqJp3SZWA4AI3f/aIa0AZADQGAAY2qesrFev2itCbwUgPtc0V1gEhAFAALw/1CqQ1gGUnxxcHhLGickNsx4KQL0AoJhwwSoKwHrTDkLYtceCS4sBQOGdhn//cEYBuHjXMWgQaCuOcvMmA4Bq7+dW344BQKuPoEXP31kAeOH+C5gfKqw+pyW40hIAbu0SAOVlPADRvBZNbJUu9i97VgGAeigA1aYAuzMAxHmEaS2tA7JoBgBJBSOUzl1s5zIA2K8sFB4hXYCFpg9GtOXfz/QAgDN+8YOWc40BgL7pE8PKdsVNCQB3X3gAJ3VMAaYBgMdvPoUadgpA/8zJYFErW7qY1KIGAKL/1daz7g0Ag3KmhAOXI+H1+0+qLlmjFYDoSTlRBgA2Lpre4bmH3zG+AtwIBWCv5SdhSTilArB2Pui54iT1eCCoMUoBeLBPoKxSn/rkv26gdxEQGgAYMbwSZO8v9ABU2y+1CkC8N9qr7/jngEVA9FYA1vb1gjbzjwi6fmJgeUgUzwYA8cM5fkDXcuGnAH/+/MVB5aY2BVgMAKIHYO2CXvC3yT0AxQCgWKVqGgVgNZ80MJGgAAz+ax+cvftcMLx4ndr/pvLvrVrOBZrfdAEAPHxT9j4q9T6MHp+lB6+A21ObcodmANCI0TTnMRgANOe4uP1ZmR0Avnj7AfIO3qrJOGzpHAAVJkgXAfFkAIg/qpgulfmnBIJYK00B1hIAdi2XHcZtk67AyD9BvRSAS1oVhfr/hGoy7zZ0LCGriJM6iFgKsFkBIBYnKZEtOdeV07efib4sRPUT/SatCgCLjdoBd2RSgFvMOQzbzz2gmjdGAsD86RLD6vYmBICBWWF3xENdAeCkhgWgSr403NiQFIBiALBPJW9oXSqL7NgyACgeHmcBYMqEsQEhhVFFQEgAsFGR9LDgkPDDJ7/n/JfUjafuylZYlZpQNB9SGQCkuuUKvOv0KALiKgAolU1Cio6RAPDQlUcOz1Z4f6jn5wWt5gkB4NEB5SBp/FhuAQBRAYhFQNwZAKJ+4sooR2iHH8L/+lk+BdgIAHg18hV0XnwMrj9+Dc2KZYJOQdlIl4YDgMQNtACA+G61++h5BgCJI+D+DRgAdP8xNmUPGQD8PixoxhwjejTF46RGAYhVzOwrnRmdAiymAMROx4sVHXb3KA0pfozzLQZmB4A9K+aAGXuvUHsA3nn6Bor9Ie0BaFYASKoYq3jyAsCQarlh0NozNJtItvUUAFj8j51w++kbQRz4D4NqAOA/TQo6vPjwD4AwAqG4/aImBdgnXWJYwwAgV3H411lhDjGNGstjN55AzSkHBOv7BeeElgGZGQBUccdwFQBELz5+5VKlp94xMKtstU4jAGB9v3TcfMPiM6RFzb1gtEoFYM0CaWGVQR6AB3oHyv5Ok+KiBK66GgBeGF4RcvTfrLYrgu2sDADrF0rnoIRnANBxWuhdBdgZBaARAJDvr0p70dinkWNhyGwpf6T+TdcCAOYauBmeR95nAJB2EN2wPQOAbjioVuiSGAActOa0oodmrCKqdwrw87cfIJ9BCkCXAcDquWGASDEGGgUAzVyTAoC4D/sfV70BoFgaAY0C0AoAUCp9hjRmDQqng0VhwrSu/5oVgmb/SVeMJe2Tv54BQGXR4l+HegDAaY0LOqQ+6QYAvRLBmq8+pWJKDGURUd5KsQdgYFbYdeEhnLqtXxVgvgLQTAAQ/a+2uX0KcAo4cPmR6hRgtQpAvQCgWIV2/lWBHoEIY3BRqwDEbbGyaFjfIIgVQ/7DpBoA+GftvNBrhbCAm5Ir20gAGNI7EPCeq/ViphRgKwDAdR1KQNVJ2lQBVqsA7LDwKKw/eVfTqaBXCrCYdREqADHNedKuS5J9UPLM7woAKFapmiYFuEb+NJwfttxihALQPnaV8qSCqY0LOgUAlxy+IXsflRrTHP03wavHDxgA1PSKtubOGAC05rhZ/qydAYDoIRahswegkQAQzZhjukIBaCIAaG9032hmKIRcekSc52pTgBkAlA6t3gBQSw9ApgC0jaMaBeC0xr7QZr6w+qESAKgm7S9v2kSw7vcS3O49DQBiFUKsRogLCQAevfEEatkpAPsGe0OrAO1TgFEdt/2cu3sAOgcAUyWMAwhwaVOA1QLA3wOzyqbqidkzSAHADSfvyvqrkX5cx9b14bzD5JYey07AsiN0BYEYALRFVA8FID7XtCj5XS0sB23OD6sI3gM0UgBKPEuS5hgpBdgTAOCnz18gi12lWxoPwCTxYsKxgeW5UIsBQPQArGUBAChWBVgpAJRSAJoVAAZ6p4BZTQsxAEi6QbD1ukaAAUBdw8t2LhUBZwHghXsvHLxwlHzFUjoiWgLAzZ1LQsUJ+yQPzQAggKcAQEzjlFMWLG5VFH7WyAPQExSA85oXhpLZfuKurVO3nomqBaIuPCt7AJIVgOHUMGdqI1+H6od6AcDcaRLCho4lGQAkpACLAUC9PAAZACQ/DSAAnNyoANSeepDcmNcCvfjmHrxOtQ027lAmq6xSx0gA2KNCDmhfJqtpACC+zK8+rm0xBqnO7e9VBkr8uYt6/Egb6K0AtBoARLjeYeExybBpCQBDrzxyeLYKypkC6vmlc7DCONI/CJIliM2dl94KQAYAbcMvBgDFKlWLfbyXAoCoGh5fP/+3+fXlyxfORuDyw5dQI39aLg3XFQrAUtl/AvTVllvE4D3//rE47Ab0XimtpGYKQNLdmK1nAJDNAZdEwOwA8NmbD+AzRJsiIJs6lYRKf0kDQKzGRkq14Q+SGg/ANcdvQ6fFxwVjLaXE0hKk8g8olwJsDwBdkQLcJSg7jN+urAgIvhzN3EfvAWhZANi0EDSbrU0K8OCquWDwurOa3HcYALSFscUcegA4pZGvbJEA9CPrWj6HwzipUQDmSp0QNnayAUCxFzFNJgNvJ0pTgFFxtevCAzh9W1gFUMvzoVEAHrn+BGpPFXoA6gcAU1AXjtEyLkbsq6x3Cjh4RX0KsPkAoKM9Az+OWCV4eI283J+cVQB2L58dOgTKm9V3X3YCllMqAP+olVf2xVVqXjAASL5iGACUjpEUAKxfKL2DByAfAGKVYryWtFz4KcB6A0ArpwA7CwCxcvg4HgD8d/9VGLbe9uwZJ2Y02NczkPPk1bsKsP07W8lsyWFe8yIMAGp5UbF9UUeAAUDqkLENtIiAGAAcuOa0oq/mCK70VgAaCQDRiyV2jOiKw2r/Y8JPr5PaidkBYI6UP8KWLgHfTt8VKcC0ABAfJh6/ek8cNz5QtQIA/LlQOlh8WOgBOKupH/w2O5zYVyWYGBjNAAAgAElEQVQN9AKAJ289hWqTQiRPgSkAhaEhqS+0BIB8wO9pAHBigwJQTWEKsBgA7F3JG9roUAUY4diO83SVo5Vc32ZqYzUA2L5MFpi867JkCMXuzVIAcP3JO7LqKtI4oScuFgKSW9wVAO7rWQZKjmYKQNIciVqv1taD9Bu0tkNx0d90NR+pzQoAP376DFn7bRKEWm0K8Iu3HyCvnXc5AsBavmll7ytK4ukKD0AUR2TvL4wNjQLQHgDa96FpsYxw+NpjOHNH+AEQ42Hfll9hXel1EdXOfl/FsiSDhS2LMgBIG0jWXtMIMACoaTjZzpRGwPQA8PUH8BlqjAKQAUAAKwJANQrAW09ey6YWmSEFWG8AqGUREL4CkAFAOj83VKb9vkg6/UpLAMi/vo0AgK0CMsM/e68Qf46MUADyAeDuCw+gqUgxnagXsCPXHzukm/aq6A3odSq3yL2cSW3HACBxegC+PCOkMCoFuF3pLDBltzkAIEYHlbTtSmeFJPFjiQar29ITsOIonQegFRSAngAAzw2tCDkHauMByAAg+V7Cb8FXAOoNANEDsKanAkDftDCu3vcUYPvfyQLpE8P7j58NB4BFMiWFJa39qX/T+aB2UdgN6MNSgOkuPNZaEAEGANmEcEkEPAkAbuxYEoInSqcAoxlznJjurwAsN24PXHzwUnS+2QNAd00BJgHARS2LQoMZoZpck1L+OaSdiwHAf3/1g+ZztFEAagkA5/5WGAKy2zwAT9x8CtUnu6cCsMSfO+HWkzeCoeM/DKpJAf7r5/wOtgD8AyAc66ZRCnC2FAlgW9dS3O6NAIA0KcA7zz9weAEgXSM0680KANGIHPvuzouzCkC1ABCr8c4LpfcAJAHA+n7pYEm4UJ3NH79GRdLDiJq2FGBnFYBR+y2YIQmsaFtMMwA4qlZe2RdXqflYPX8aWGOQByADgHR3BasCQLw//FzYMQU4vH8QJP/qAah3CrA7AEBUaubzSkw3aexai3kAilWqplIAaggA+RXWaTtqDx4LZUwCy9qI31Oj9k3yAGQAkHYUWHv7CDAAyOaESyIgBgAHrD6t6KHZiBTgp6/fQ/6h2zSJjVkBoBSIUZIOoCYwcgAwe8oEsLWLDRDgYgUAqCYF2KoAcOYvftBirjYAUMsUYBoAeLhfEBQasV3N1HXJNvzrsOTonXDzsTQAbDk3HLadpVMAGgkAs6ZIANu/AsCDlx9pBrmlBsZMABDjXD1/Wu5USQrA8GuPHSrO9qyYg1NhyS1qFIBlcvwEuy48dMncNuqgCDkROL9+/0nVIW0A0NfBl5G0M70AYD0/L1gaLq244wPAdSfuyCp8SX3gr0f7hJ8SxIbdEQ/h9btPUD53SogZPRp0XXocVh69TbMrsAIA3NujDASM0TcFGCu/ov+blguNB+DZoRUg18AtmhxeLQAkqdC1TAEW+91RBAAXHIUNp7T1ACyRNTnMb2HzgPvw6TNk0ygFWKx4oREpwK4GgD/8AHB1lGPabm1fLxhbz+fbHHdGAaglAETl4ap2xal/05kCUJPbFdvJ1wgwAMimgksi4AwARHAVcV/fKsAMANqmxefPX2Bh2A249OAl4I9pXq9EqueLXBEQowFgv+CcMGLjOUFfOgdlgwnbLyrqHxYBMTsAlHp4JnVQTAFoBQB4/OZTqCGjAGQAUDjyagFg7xUnHTwiSXMqy0/xYUe30lwzIwAg6Xyi1mPVVSwCYu8BpHR7Je2cBYBKqrEyACg+ElYDgJjqPVUmBdhVAHBPj9IwP/Q6zNh3lQt0lIm9GgA4smZe6LtKunql1DVlpAIQ+1tqzG4llzdVG/4LvDsBQLWqfhIAXNO+uKiqX81Hak8GgFgNV85aQEk85X5jPAEAaukB6OOVCNZ0KOEUAFx46IbsfZRVAaa6NXtkYwYAPXLYXd9pZwHghfsvAG+A/EXJj5jSnj959R4KDNNGAbihYwmoPHG/5KGNSAFefew2dF4irAKsRAE4fc9lGLXpPHfuMaP/wFXNSpUojtIwCtrpoQAkpUxJnairAODNx69lzcW1TAFWCwDF0sxm/OLnUClP1SQAAL0UgJ4MAFvNDYetlArACfXzO9wT+GMqlQKsBgBmTh4fdnY3JwDENFj7KoBq57bYdmYFgKVz/AS7mQJQdqjVKgCxGu/8UOHziZI5hcVepu2R9gCsW9ALlslU3dVLASgGxDZ1Kgkz9l6BlcfoFIAMANpmgqsBIOn+r2S+RrWxKgDE848R7Qf4aKfExI+FP/0Ym+tee4srANEDsIZFASC+G3kPEPpUij27O6MARAXm6dvkIiBaKgB90iUGhNtyCykFmAFAmjsUaysWAQYA2bxwSQTEAGD/1acUPTTjw4aVAOD630tAlb+lASCaMceNpa8HoBgAlAIxfJBq/yPUoHA6GFUrn6o5IwcA+R5huHO9U4DNCgAXtiwCDWccUhVf+420BID/NCkIreYd0eS8tASAc34rDKW+egAeu/EEak45IHmOVlYABozeBTcevxb0jX+dqgGA4+v7QJclJyTjheq47hVyOKxXAwAzJosHu3uU4fZ14HKkZnPc2QmJVVd3nX9oGABEtWEzmSIgWJGw7rSDgm7ppQDE62ZPhHunAGOa86Grj1WnAOPL86RGvlBL5r4iNgf1AoB1CnrBchkA2LBIekDAhsvaE3ego0yRH5prRwwAItjec+GhYQAQK2ljn4xYdncvDaX/Zz0FID7XtAzI/C1EapTBauKr9jfd1QpAqb7yAWC7BUdg46l7asIiuY2WKcBJ48eCowPKcccSSwG2CgCsN+0ghF17LIiZswAQ75f/qyufAmxVALjg0HXot+q05BxjCkBNL1m33BkDgG45rObvlLMAUO8U4Mev3oOvRgpAdwKA+bwSwVqCdF1q9skBQL5HGAOA2gBAqfQZ0t1BTAGoJQAcVDUXDFl3lnQaitYzAGgLk9kBYPqk8WBvT/MBQFQQowrOKAWgGgDYvXx26BCY7dv1cDXyFYzefB4+fPoCCAdzpPoR1LzoewoADL3yGN58UOcBaDQAbF0qM0zfI129Gm045Kru6gUAxTzxUEGGAHkVpQJwRM08si+uUjd+BgDJP4kMAErHiObDk5EAEKvQZu+/SXDiaRPHhZDegaKdsb/XJ4kXE44NLM+1ffbmA/gM2SrYDu9h1QuklbUWUJI95YoUYL0BoC9WAbaoApABQPL9kLWQjwADgCaYIT179oQxY8Z8O5Ndu3ZB6dK2dCmpZfPmzfDPP/9AWFgYPHz4EH766ScoXLgwtGrVCipWrKioVx8/foR///0XFixYAOfOnYOXL19C2rRpISgoCDp27Ai5cuVStB81jZwFgHorAI0EgGjGHC9WDMVhtP8hzpM2Iaz/vaTs9quO3XJQ+6hRALoLAOwb7A0jN9pSm6MWGg9AfCmfFXINcJ6QFv7DFSkFWEsFoJYAcHqTgtBaIwWgXgDw6I0nskodpgAUztRx9Xyg61JjFIDpksbl7ANwoXkRI11bzq5HAIiFMM7dFaYAObtf/vYISjAFCxcSAAy7+hjqTRcqALuVyw6/l/0OAKv8ve9byhK+KO7vVQYy9dlIfcpYPXuvBygAXQEAMRV3gZ1FiZIBah2QGabvtQ4AxKI2qykr81oBAO7qXhrKMAWgkinLtVH7m44V0uVUqlp6ANL87jAA6Dj0VgSAaJkwhikABYOJsPn14wdwe2pT7u83b94ELy8vxdc6a+g+EWAA0MVjeeLECfDz8wOEcVGLHAD88uULtGnThoN/UgtCwGnTpsEPaIwgsTx69AgqV64Mhw6Jq41ix44NU6ZMgd9++02XCJkdAD56+Q4KDtemYihJAWglAJg3bSJY97u8ea3UhNFDAajWA1AMAHYqmw3+2qGsCIinAcBpjQtCm/napACrfVkQm1d8BeCR609kq3ViJcvCI3bocj/TY6d8cKxHCvDYuj7QbZkxANArCYIq8wFALLqACkCrAMCHL945VLJGL7ZKf+2jnoJYyGHfxUjq7ay0AfocYhXgtx8+qzptBKyTGhaQtRYQ27FeALCWb1rZqrsNCqfnquzisub4bei0WOj7qyoIACCmAEQLAUwBNgoAVvVJA1jZ2IhlZ7dSEDh2j+aH0rsIiKsUgAOr5IKh6+lV/SQAuLp9cdHCXkoUa/aDRwMA8VkhxY82r2u9U4CdVQDyU4DdTQGI9kg5B5I9AHGccE7YQ0osmjS6jnumAGNRpv6r6VOAGQDU/LZu2R0yAOjCofv8+TMULVoUDh8+DClSpIAHDx5wZyMHAPv16wcjR47k2hUoUABQPZglSxa4fPkyjB49Go4dO8atw3bDhw8X7d2nT58gMDAQ9u7dy62vVasWtGzZEpImTcoBQdwOzyV69OiwYcMGqFChguZREgOA/VadUvTVHJVrEQ9e6loExEgAeGZIBYgf23gFoBSIkfMA1AsA8quE4mRrNDMUQi49Is47UtVEqR2YFgC2KAINZ2qTAiz18EwKqlilSbMCwNnNCkHpHCm4LrkzACw1ZhdcfyTtAdh6XjhsOXOfNLSC9eiN010GAKI/Xo8K3g77VOMByE9pOnApUrM5TtVhkcZYdAHTGM0CAA9deQT1/wkVnGnXctmh41cFIFZjDxqnDZhgAJA8e0wHAAuklfXc0wsAinkAIgBEeL6GUgE4vEYe2RdXqVFhAJA8XxkAlI6RWgDYdv4R2HRaPw/Adx8/QY7+QshFkwLMAKBtzBkAFM595gFIvl96egsGAF04AyZMmABdunQBb29vqFmzJowaNYo7GykAeOnSJciZMyenFkTVIAK8uHHjfuvB69evoVSpUhAeHg4xYsSA8+fPc3DQfpk9ezY0a9aM+3O7du1g8uTJgiZ4nIIFC8Lz588hW7ZscPbsWW5/Wi5mB4CRL9+Bn0YKwHUdSkDVSdJFQBgABGAA0HZ1LfQAAKhWLSB2/xECwMdQe6owfZK/TVjfslB4pDUVgKXH7IJrJgGAfVaehEVhN6l+DtCH6ECfstw2ZgOAmMZ4/t4Lqv7QNEZQUrOALcWGlAIsBgC7BGWHTkG2FODTt5/JFpSiOS8GAMnRUgsA0YsPqzTSLq0CMsM/MinAtUwEANFCAOG5OwLAHd1KQVkLKgDxw2argO/P/Gq8QWnnLLYfUCUXDHNTBaClAODrD+Az1NEDsFr+tLLVxZUoKl2RAqxUAShVBRj9rP+s871ooX0fCqRPDFYtAsIUgGruVGwbfgQYAHTRfMC8e/TYQ989BH67d++GIUOG2F4SJDwA27dvz6Xl4nLw4EFOPWi/hIaGgr+/P/fnDh06wN9//+3QJnfu3BzUS5IkCSCIixcvnkObP/74A/r06cP9ffny5VC7dm1NI+UsALxw/yUsChM+YCv5EVPaCSMB4OkhFSCBzgrAlUdvOfh9mVkBqLQKsNoU4D6VvGHUJqEHIE0KMPpy/XeA3gPwxqPXEDBml+Q01BIArmpXjDp1DU9MXAHoC23mH1V6+ci2YwBQWRj59zM9AOCYOvmgx/KTkicjpQBUAwBTJYwDoX3NBwCx6AKmMRoGAM8/gGazDzvEPGqsMV31ZzsFIB8AnrnzDCpPlP6YpGxm2Vp5CgA8ePkRvPuoPgV4ciNf0TREuVirBYAtS2aCGfuuSu66ZoG0skU3GhROB6Nq2V549U4BRgsBBIC0lXmtoADc3rWUZkpb/mDqnQJsNQCIlaTl0tQ1TQGmUJ7jx8IUCW0pwAwA2mawKwAg2iPlGrhFcD8Uy97BBmIKQBIAxCIgWEzr1O1ngmOI7atJ0QwwrEYemp/Yb23tY+eTLjGgv6XcIhZv/v1jXuh1GMBSgFWNB9vIFgEGAF00E6pWrQrr16+HX3/9FVCRN3jwYFkAiN5/6dKlg9u3b3OKQSzaIbXg+gsXLnDGnjdu3BB4AV68eBGyZ8/ObYpeglOnThXdzb179yB16tTcuoYNG3KFQrRcxABg31WnFH01xxRgvQGgmNeS2v6TFIDOAsDcaRLCho7yRUDEAKAUiNErBRhT1zCFTWzJ/FN82Nnte+EbpSnAWgJATLObqNAD0NMA4NRGvtB2gbkBYPi1x1BnmrQC8FDfslCEKQC/XX6j6+SDngYBwBQ/xoawfkHcsUMuRUIjjdLc1d6To7YzAgCiUqqW71cFoAoAiMWJOgfZfrPP3nkOwRPp/f7E4lQia3LYf8m9PQCx0jFCVXcBgDXyp5H13NMLAIqlAKsFgPgSLffiKnVNV8mXGtafvOvsJa9oewYAFYXpW6P+lXPC8A3S7yRSeyMBQKmPmGo+9tMoz/kAsM28I7D5jLYpwPjxZV7zIlxY3n74BN4D1KcAJ4sfC44MKMft65mLFIAIsxBqObPUnXYADl97ItiFswDw50Lp4I/a0gpABgBZERBn5qzVt2UA0AUjuHTpUqhfvz7nuYdpuljBlwQAr1y58i2dt3Xr1lyRD6kF10cVCcHtMmXK9K3prFmzoHnz5ty/Fy1aBD///LPkfnLkyAERERGQPn16uH79uqaRYgDwezhPDS4PP8aJqTi+9l+GjASASioOS3WEAUAAKygAsXLasiO3BMNoVgD4X7NCUOarB6A7A0CsSHk18pVgTPgvQWpeUkbXzgc9V0grABGu96zo6AGoRgH404+xASsr4mIqABiQmVMx6akApAGAqFZrMEPoAYjK5C7lssOnz18AU4S18ggtnjWZIp9VxT9MJmzoKgCIXnz2GQpKwtOiRCaYuV9aAVg9fxrZlFsjASB6iOK1Q1uYwxoAMACCxtk8srVcjFQAaukXSooBA4CkCAnX48eX+S0YAORHRQwAoj1S7kFCBSD6XI7Y6AibxVR7/PshHsv+3YkGADYumh6G17AVWKJddFEAHrwGA9ackTwVKUjOioDQjp77tmcA0OCxffr0Kefjhwq7GTNmQIsWLbgzIAFALMZRpUoVru348eOhc+fOkmeO67t27cqtx+2Cg4O/te3Rowf873//4/6NBUPy588vuZ/q1avD2rVrOQXhixcvIH78+JpFy5MA4NoOxaHapBDJ2BkBAFccueVQ8VONAtAoAOiKFGAjFIDXH72CUmN2S86FBS2KaKaOWtmuGNSacoD6mhUDgFMa+UI7EyoA+QDw8LXHUNdNFYB6AMA/a+eFXitOSc4PLQFg8gSxILy/TaVgJgCInmt7LQAAmxXPCL/NPgxHbzylvp6lNvAUAHjwyiPASptqFvQAVJMCrBYANi+RCf7VCACuPnYbOi/RpgqwmAKQAUD6GWUkAFRaVI++F45bMABIF0UtASAeGe9Tf9bOB/h8nn/oNsHJoP9u1fxpYPqeK9SwiL+BXAqwXgpAMQBIkwLMAKDjkDMASHetunNrBgANHt1WrVpx4K9YsWKwf//+b+m5JACIir+2bdtyZ7ts2TKoU6eO5JmjZ1/dunW59bgdKgKjFlT8LVmyhPvnw4cPIXny5JL7QQ/BqAIhqFRERaDSBQGf3HL37l0oXLgw1wT9EDFduc/KU4q+mhuRAvzgxVsoPEKbggH441h9MgOAsgrA5PFhZ3fjUoB7V/KGP+w8AGkAIFbmnK3CA9CqAHByQ19ov9B8KcA0ADC0T1koOkqba1rpfdCZdvyXRT0A4B+18kLvlcYAQH6akpkAoDPjo3RbTJWsXVBZCrBYpUq8LyWIHR1GbhR6lio9vlS7YlmSwYHL5Errzh7HldvHjhFNdfovnrdXkriA9z6532+x/ukFAKv5pJH13OOnvOkNANFDFBWAtGm5w6rnllWuSM0XI1OAt3UJgHLjracARG/j1qVsRUCMBIBSqizStW9kCjDN7w7ahaT86gGoRl1P6reWKcBRx8qYLB6salccCgxzHwCI9kh57BSAdAAwPYyq9V21xxSAAAwAkq5Oz1nPAKCBY43ALyAgAKJHjw5Hjx6FvHm/35hIAHDMmDHQs2dP7mw3bdoEFStWlDxzXB+l+kO1X7du3b61rVy5MmzcuJH795s3byBOHJvRrdjSq1cvGD16NLcKKwtjZWClC6oGlS7qAOALh0qUanxBpM7RSAB4cnB5SKhzCrCYAlCqcpucB6BuCkAGALmpaFYFoBUAYNjVx1BvurQHIAOAwrudkQAwcbyYcHxgee4E9l+MhMb/HlL682D5dnwAOHPfFVGvrKh7rigADMwKE3de0jwO/pmTAarj2CIdAfUAMB11pWw8i9+KZ4JZIdIpwFV90sim3BoJANFDFNWzRgHAyvlSwwaDPAC3dgmA8hYHgP1Xn4L5ofSVqNXcD6SgDGlfJAAolcWg5llfLQBsPS8ctpy5T+oK1Xo9ACCewL6eZaDkaGGROSsrABkAFE4r/ryfe/AaDGQpwFTXHWssjAADgAbNiPfv33Pptli8A9Nwo8Ba1OFJAHDYsGEwcOBArvmOHTsgMDBQ8sx37twJZcvaKi7idv379//WFv+O63H59OkTRIsWTXI/eDzcnvth2bcPSpQooThaegJArF4bcV9nAPj8LRTWqGAASQFoBABcfuQWdF92QjB+ZgaAeqcAiyoAKV601SoAr0W+gtL/MyYFeEXbYlB7qjYpwJMaFoAOC48pvv7lGkrNOzU7/69pISjjnYLblAQAD/YJBP9RtnufFRb+w17g/3bDFY09APHLOKqupZa2pbNAL1EPQGVKbf5+E8aJAScHV+D+5MkAMOeAzfDmwyeHkH8DgCKVKjtS3Jdo5jUDgORoGQ0AMdX7v5BrkidGAwBXHbsFXZYIf/PJPRZvsbt7aYffLQSAqACkhXJqFYDuBgAz99kAn7+oHRHx7fgKQAYAhTFiANB6KcBoj5R38FbBQNIoALEa+8ia7qkAZABQ23unJ+6NAUCDRj0K8GFBjbNnzzr46ZEAoNUUgHqmAFsNAK5uXxxqyKQAWwkAKik4InVJyaUAZ0oeH3bxUoD1BoAINv7cLEypo3nRpgGACKlypk4IqRLFARIAnN+8iGbqKLUAsE5BL0BgzF/+blAAfl9kbgCIBRLq/yMsoMDvg6UB4NjdcOWhdBGQtvOPwKbTdJUK8cEYK68bAQB/jBMDTnkoAESvNLymcJHyUZIDgL8HZoW/dVAAFs2cFEKvPDboCciah0EAiP6nch6+Yj1D76lFYTepO00CgKQ02Pp+6eDPOraql7oDwNr5YM9FegA4tHpuWeWKVNCMBIBbOgdAhQnapwBfHRX8zfZHbwCIlZbnhWpbvE9qbBA8jrKzVFEy+c2qAMRsAXxew8VKCsC9PcpAwBgRBaBPGpi+lwFAsRTgj5+/wMlbzwTTVaygiNmKgMw5cA0GrWVFQJTcZ1gb8QgwAGjAzED/PB8fH0AV4Jo1a6BatWoORyUBQKt5AJLCKlYERGl1SSMA4P3nb6GIRgpAEgA8Mag8JIqrbxVgMQWglHGzXAowA4C2md0lKDvMOXgNHr96T5rq3Hoc32Vt/CFW9GiyCkBtAaA/1J4qnRIrdeIMACoaUt0bCRSAOgDAETXzQL9Vpw0BgAlixwBM58Fl38WH0OTfMN3jZ5YD0ABAMZVKhzJZYdIu7VOAi2RKCoeuMgAoN0/SJbV5AJoFAJIgmOEAEBWAp+5SXWqqAWDe1NTHojoxXuPNnUtCxQn71G4uuZ3eABAzG9p89QA0EgCKZVQoCZ4VAGCrueGw9ax+KcBv3n+CnAM3C8KFRT1CeotneckV4xAr1sOlAHsoAGxUJD2MkFEAFsyQBD58+swAoJftAyVbPCsCDAAaMN5YhOOff/6BzJkzw4gRI0SPiIU7VqxYwa0bMGAA5MqVi/vvqlWrcmrB9evXc/+NizNVgLt37w5jx47l9mO2KsAMACqbjPYPALlSJ4SNnUrKbuyuALB9mSwweddlZYHjtXJWAUgLAPHQZb1TAKa/yqUAmxUATmxQADqaXAEYeuUR/CyjADzQOxCK/WHRFGAXAEB8kcQXO/tFabEm/nbxY0WHM0NtvrUMADrerqJgrxgAVHuPI90UGQAkRQhALQBEL77Fh+kVgE2LZeSKS0ktNABw5dFb0HWpfinAWEV8b0QkNZRjANDmj62HAtBqAHBC/fyylaq19ACksZ7gKwAZALTdjVxRBRizo/LZpQBLFZwRU+2RAKBv+sTg7grAB8/fcoWw0iWNx41j9n6b4PWTB3B7alPu31Ee/ORfQ9bC3SLAAKABI9q0aVOYM2eOqiNdvXoVMmbMCFeuXIEsWWzVvRAooiJQaokCjrget8uUKdO3prNmzYLmzZtz/160aBFgVWCpBav+RkREAKYtX7+ubSqB2RWA95691axi6Kp2xaDmFGkvNmcVgEoA4LLwm9Bj+UnBUButACw7djdctktjjDohrGC2u0eZb+dn9hRgNQAQO4dpzljRVWoxKwAkfamnublp6QE4q6kfBHqn5A7vzgBQ7NrhKwTbLTgCG0/RpQAPr5EH+q+WVgBqCQDjxowO54Z5JgDEaql1/dLJvkRFjaXYSyoDgDR3F23bIgCc0rAgVJ20n2rHugFAggqunp8XjK7jw52r3gAQiwjtvfiQ+r4zpFpu2dQ1qUBXNlABuKlTSaj0l/YKwCsjgyFaNGMA4MA1p2HuQW2f26XGRq0CcHx9H1mfSikbEzVFQDwBAIp5daICsIpPGvjHginANABQrHK3WQFg/nSJATPD5BYx4Mqf97NDrsLgdWcld4Ftl4bf5KqBf/j0BdBeYlDV3AwAUv2Su3djBgANGF8tAOCXL1/Ay8sL7ty5A97e3lwxEaklZ86cgGnHadOm5eg+vyAHAj0Ee7i0adMGpk6dKrqbe/fuQerUqbl1DRo0gIULF2oaKTEA2HvFSUVfzQdWyQUXH+hbBERLACj1FTMqoCcGlodE8dSnALsjAGw0MxRCLpErVLYrnQWm7KZXAPasmANGb74gmNM0XlsIANGE95HCFOCoA5EA4LzmhTVLj1zexh/qTKNPAa7t6wUrjgo9AOIStm8AACAASURBVK0AAA9efgQNZkh7AGJKTXGLKgD1AIDDauQBTBOTWqQAIPoGLjxEV10ydoxocGF4Je5QnqYAdBYAqr3HkX6wC2dKyhXOYYt0BMwGAIPzppIFbkYCQCwihNcy7YcHBgCNAYCD1pyGOQYBQLGMCiX3FbMCQPQLTp0oLteFlnPDYZuOKcCv33+EXAO3CMKlNgVY7PnSygAQxRE+Q4RFQKQUgL/4Z3AA3va+fWbxADQKANr3F5Wt6BH5+jFTACq5P7l7GwYATTLCJA9APM127dp9A3YHDx6EokWLOpx9aGgo+Pv7c3/H9pMnT3Zog+nFCBCTJk3KAcJ48WzSYP7yxx9/QJ8+fbg/LV26FOrWratppJwFgFgF2D7FRs1XQalO3X32RrOKoQwA2qIsVwTEXgGoFACqVcc4CwA7B2XjHjaUegBGzTMGAAGklKdqbjB8BSADgHQKQFI1Ti0BYKwY0SDiKwDcG/EQfpnlOR6AWC21nkIFoBgcxWrMU1V85CBdT4UzJoWwawwAysVJLQBEL74l4fQpwL/6Z5CFNjQAcMWRW9BtmX4pwFhECOcrbfEhtQCQ1HfSfKdZv7FjSQieqI8C8MXbjzB+e4RsqjfNufLb8lOAjQSAYs9TSvrAACCAGADE4kP7e9F7AO7sVgoCx+5xgIloHWBFBaAYAJSqAixmn6AEAH76/AVOKCgCYq8mVDK/o9rYgzgjAODlkcGQpe9GwWnih/wey06yFGCawXPjtgwAmmRwlQBAVO/lzp0bPn78CH5+frB3716IG9f2lQqXN2/eQEBAAISHh0OMGDG4asPZsmVz6CE/Dbh9+/YwadIkQZvLly+Dr68vPH/+nEs7RjUh7k/LhQHA79E0QgGIUvCeJk4BzpAsHuxRkQJsNQAo9oDGv67MqgAkefXQ3Bv0AoAHLkdCwxmHJE+FKQCFoSF5cbUulRn6VMrpEE81CsCY0X+AiyOCuX0xAOg4RaM+XjEASHMn0b9t+qTxuCrAVf6mSwFWCwDFVCw0vaxb0AvG1LWlAGsJAMU+XKkFgIOr5pJNXZPqr5EAcEPHElB5It2YKxknTAFuM/+I5kUloo6NSjz8YIDL4LVndIGMYv1UCwDH1fOR9anUMgWYRnluVQWg2POlEQpATGdFqOXMUnfaATh87YlgF/hu5DNUqACUAoBiFdSbFM0AmOkQtdiDOCwC8vHTZ0sCwP9CrsIQmRTgM0MqQO5BQmXptMa+0HHRcQYAnZmobrQtA4AmGUwlABBPFVV5qM7DpUCBAtCrVy8O0iG0+/PPP7nCHlHtRo4cKdq7T58+QalSpSAkJIRbX7t2bWjZsiUkSZIEwsLCYNiwYfDgwQOIFi0aV3ykUiVb6paWixgA7LX8pKKv5kakAN95+kazggEkBeDxgeUgcbxYisOrpgiIVgBQSbqxVEfkPADtAaBSBaDa9DgtFIDzDl6nTgE2EgBi1eG6GqUAmxUA/vurH5TNafMAJAHA/b3KQIk/dym+zlzdkK9oFlPP8te3X3CU2oyfpMTREgBi9euIEbbfEQYAHWdW1FiKxQaVmNP20NsckOZvoYxJHF64SNt42noGAG0jLgYAsYr4vohI2HyGTnnsyQBQTJWj5TXlKgDYo0IOGLNFaKmipF9kAOgPtac62pjQZvugP3CHhUch8uV7JacFWDAsTWJjUoBfvfvoAGrUpgDv6FYKytopABEAogJwxr6rkn1XEk+5IiBmAIDNS2SCf/cL+4gfVIZW1wYA2qsJFU2kr430UACSAGB4/yDwG75dcJr4vNx2/lEGAGkGz43bMgBoksFVCgA/f/7MwTpU8UktWOQDqw4jwJNaIiMjITg4GA4fPizaJFasWJwyEI+lx+IsANQ7BVhLACj1FTMqrq4CgHLVtKLOTQ1slJovZgKACDem77kiONUOZbLCpF2XFE13TAHWAwDO/a2wZumRagFgLd+0sPLobUEcSKk6ioL2tZGWCkABALwUCQ1nSisArQwAy43bAxcfvBSE2VUAEE2lF1B6APIVgHsiHsKvnpQCXDsf1CukrAiIGAAUu1fRXG9Sbf0yJIHw60LFhRb7dad9qAWA6MW3NFzoo6okLloqAJcfuQXdNUoBFgOAWEQICyswAKhkZG1tGAAUxmpsXR/ZNPUVbZ0HgGjng96/n78oHyc+AGwxJxy2n7uvfGMFLUtmSw7zmhfhWmoJALd3LcVZ7fAXhImonnV3ANiyZCaHPmoJAM2WAjxr/1UYul66CMihvmWhyMgdgrmQKG5MePbmA3x8HsmqACu4Tt29CQOAJhlhpQAw6nQ3btzIQT4EeAjzkidPDoUKFeIqBCtV7GEq8YwZM7gCH+gJ+OrVK0iTJg2ULVsWOnXqxKUb67WYHQDefmp7aNBikXqIidq3IQDw8E3ouUJYBVgNAMRzVvK1UCxucgAQX7T29qSvAqw2BVjs/GgAYKey2WB+KL0CUOwLLf9ctASAS1v7Q73p9EVA3BUA7utZBkqOtqYCUA8ASFLiaKkAZABQGQAUg6MMAGrxK6xuH6hMn9yQPgVYLQDElLV5oeort/JTgLUEgGLKdQSAmFa55QwdHBlUNZds6prUSFXKk4rab1DdqAOs/70Eddq3kmMxAGg8AFTzwcq6ADAAgsbtNRwArmpXDAqkT6LkEpBsI5YCjO9G+YduE2wj9d7SOiAzTLerdIyeqkM0UgBaDQDmTZsITt1+JhpvBgCdmqpuszEDgG4zlNbqCAOA38fr2IBykCS+zinAFgOAeqcAMwAofb8QA4CkVB2au49eCsCQS5HQSEYByACgcJRIL+L4QN0nWHsPQKYAdLxaoj6qiAJAkRcbmutNqi36Hx1hCkDZUBoNADHNbH4oXYVtfgfqFPSC/331ANQSAIopi9Bba1/EQ2o/O9J9x50B4KURlSBrv01aXL6i++CnAA9Zdwb+C7mm27H4O+5ePjv8b2sE9bFwrsqpVLVQADacEQoHLj+iOjd3AoBGpACbAgCKZPV4MgCUm/AMAFLdDty2MQOAbju05u6YGADsufyEorQZ9ADUOwXYSAWgqwCglJkuX+En5vuhhwIQqy3u6/m96hkDgM5fv6oVgAXSwspjwhRgswLAmb/4QVAumwegOwPA8uP3QMR9mRTghUdhw8m7VJMG76NyKSRSAFCNoiJxvJhwfGB57vw8DQD+WTsv1C+Unuu7lI9S1D1194UH0PQ/oS1Hq4DMshUcqQad19g3fWI4euOp2s09Yju1ABCVeMuO0KcAawkAl4XfhB52hb/UDpooAKyeG/ZdjHRLALiuQwmoOkn7IiB6A0D0Nm5XOis3zEYCwG7lssPYbeYEgE3+PcTNU5oFC4Zh6iwuLeYchu3nHtBsTmzLTwF++e4j5LEr1qDWA3BblwAoN16oAEQAGJw3Ncy088fjn6SSZ3o5D0C9ACC+GxUYpkwBiMVvpu4WeuViZeDB1b5nsiktAnJ1VDBk6iOsoGu0AjBr343w0S5vnT9O6Hc4TCYFmAFA4mXo8Q0YAPT4KeCaADgDAAcgALz3wqFgiJIfMaW9vfXktWYFA0gpwM4CwJypE8KmTiVlu7ZURAFoZgDYeOYh2H+J/NDmbinAc34rrJk/2pJWRaH+P6FKp/y3drVEACDJq4fmIFoqAPkAEP2oGv8r7QFoZQWg1QFg0cxJYXErf26aiEEumvljtbYMAFptxL6fr9EAEF8yaf01+dHlKwC1BYCOqYXDqueGvRcjYdtZuhRg0ocHqdlSMXcqar9BtTPPHQDg0HVnYVaIdOEHtbER204vALi8jT/UESlkRvOs/8usMK7wFM1iVQC4pXMAVJjgmAKM6fNyABCB1w8//CAbIrMDQLF3AUUA8PMXOHFT+CHMDACw5pQQOGb3gY4BQJqrmLUlRYABQFKE2HpdIuBJAFDqISYqsEcHlIOkTqQAKwGASw7fgF4rTgnG0swAUKkCUEsASLMvtR6AYkoK/qCYFQCSUnVobhIMACqLFv9hr8L4vXDh/gvBhoIiICoUgPghRe4LspYKQHx5n9akoEcCwD9q5YWfC0srAPN5JYK1HUpwsdl14QE0s1MAipmbK5tB8q0KpE/s8IKhxX7daR8Zk8WDSSo8ANUqABsWSQ8LKQvs8ONd29cLxtbz4f6kJQAUUxYN/aoAdEcAuLZDcag2KUTzqWykAtBIANi1XHYYp0IBOKZOPlmVqhYAsOl/YbD7gmcAwM2dS0LFCfsE8xbVhHoDwJXtioGvDh6A+G7kq1ABKObhrRYAXhkZDJn7ulYByACg5rdftkO7CDAAyKaESyIgBgB7LDuhKG3GCAXgzcevNSsYQKrGygAggFeSuLC/F30KMA20I010mn11LJsNFqgoAsIAIICUiTNpfMTWz/jFD8p9TQFGQ/om/4ZJ7mZvjzIQMMaaRUD0AIAkEIupp31FPADVpAAzACgNAJuXyAT4myYFAFuUyCSr3lBz3eA2+dMlhuN2yge1+3LX7dQCQFTioQcf7WJWALi1SwCUt0stRAC4NyKSukIq6cODVMyMVACuaV8cqk/WHgBeHFEJsunoAchPATYSAHYJyg7jt9OnAI+ukw96yqSpawEAm88+DDvO06XwGqkAfPH2A+QdvNUB2uE5iC1ySjzMBKr0lxAAYgpwpbypAVNGpRZnFYBGAkAp4cLvgVnh752XBF1sVjwjDKoqnQLslyEJfBBRAFoBAM7cdwWGbzhH+xPDtWcegKrC5nYbMQDodkNqjQ4xAPh9nJwFgN6pfoTNnQNkB15MAdinkjeM2nTeYTu9PAADx+6GKw9fiZ6nPQB0RQqwuwHAxa2Kws8qUoBrFkgLq+w8AElf6mnuOlIPcDT7iGrLB4CY5oPpPlILA4DCyKgFgIPWnIY5B+kqlVbInRKmN/GThFxqxt4q25AUgAIAeP4BNJst9ABkANB1I40AcHIjX6g8kc4PzgwAcGn4TVm4QhNVsdTCIdVsHoDbz9GlAJPuOwwA0oyMsG2PCjmgfRmbByCqu+Wgj/qjOG5pZgDYYk449Rzd36sMeCWJx3VUDUAkxZbvASgGAO2fh/n7kwOAGzuWhOCJ7gMAj/QPgoLDtwvCKfX8iB/lJ+64KGhLAoBYCAt99uxTgM0AAGtNCXHw6OW/mzEASLrK2HpSBBgAJEWIrdclAgwAfg8r/sglSxBbcZztHwCUAMDFYTeg90phCjADgMKQGwMAHb2U+Gcxu1khhyIAiieGXUMtASDpSz3NOboKAO7pURpKjdlNc6oubct/2Ks4YS+cvyedAtxh4VFYT1kEhKTElFIADlxzGuYyAKh4boyqlRcayKQAkwAgrtfjRd4nXWKHFx/FnfKQhggApzQq6PBSTeq+WgCI82RRmPoqwFjBfVy9/NzpaQkAxVILB1fNxfn00hZIUAsA8SPCljN0sJE0TlLrraoA5APA4evP6qIcFotZ56BsMGG7EL4oiT3puUIqe4bGA7DV3HDqQjWuBoBqi4Cs/70EVPlb+LEC91UxTyrZ3xAEXtGiqfcAXNG2GCBMc2apO+0AHL72RLALMQAo9dyCtjx/2QHA34pngoFVbep6XESLgIgAwMsjgyGLi1OAGQB0ZjaxbZVEgAFAJVFibTSPgBgA7L7shKK0GUwhuXDvuUPFYJqHAlKHtEwBJlVjtSIAfPbmA0zaeRFevvsEbUtlgfTJbF9L5ZayY3fDZQkFoP0Dj/sqAI0DgItaFoUGM+iLgIgpAEkP6qSx56/XCwCSqssyACgcJdI4aAkAy+dKCf/84pkKQBIA5L+k7BJRAOJ6Pcz8fbwSwYlbz2guXY9rqxYAohffiqP0KcANCqeDRWE3VcdZLwAollrozgBwdfviUMOCKcCuAoBi8EXJJCY9V2gBANvMO0JdPEZvABiQ/SeY+1thLkTP336AfBqlANfz83J4L/IUACgGof/P3nnHSVGzcfyhI0jvnaMevR1HP+Du6CDVAkgHqSL9lSqigCJFEOkISlFAQFR673D03ns7qtI7vJ9nl8OZ3cxmksnO7sxm/rvbJJM8ybRvfs/zKDfXtADgy1ev3UJhkAAghmcYVr+QnmXtVsYVPGL4DbzHeDokAOQytazEYAEJABmMJYuKs4C/A8CLtx8JixfmrwDw8xrB8A2nC7DSLSJ90oSw7fNw6g6iJxdgfwCAnSrlhAkbzuha5F3DczmyNd5++ExX+ZhCa3r4PwCsVzQj/LH/qmpcIxoWhj4LDzKNVauwlvKUp/EpzUpA1QLpHVUlALzGZELaPGDyif61/ts9j2mcRwEoAaB2DEAlAFx3/Dq0nrlbNY8SADIta6GFg1Inhh+bFGdWAPoFANx1Sdg9m+Ra+AUqAE/dYo6vRlMea02gmQrAxZ3KQv0J24SuJWzs5Nc1IM+A5cLbjWnQcgCQ8l4hAgB2mrMHlh2KZrL55j6VIUtK56Z265m7YB1jDEHayWgAkNcFmHRefLeuViC9x00ksxSAr1+/htevATDhsGvW4UYTt8HuC2oF4O4BkRDi4gKsdf8guaHrUQCSACApWY8EgLRVLX+3mgUkALTajNmkvxIA/jeR+JBL7WUXYHQr6uviAmwEALruaKHraqW8aT2uTgkAAUjZFJVGE+kCzKsA9DYA1Fp3PLc2JQDccOKGR/fpDb0qQaWR9nQB/vTXffDXATW0pdnTTACIiVowXiMeJJUbra9W/h1VA/jxgAcpfhMNAGIcoxlbzws3AWYfPigVgB7tigBwQtPiboH1aZPBCwA/KpkFfttlQAFYLBOM/vCNC7BAALi0a3m3OIi8AJCmPPYHAIhJDRpYHAAOXXoUpm7WTvxAW8Msv5Pir+mp/23DQvC/herQNMp6dgWAyhiAIhWA/gwAn754CT3mH4ClB69BvgxJAd/dYiAr9tsoACRloqZlAcYkIBgD0DUZlhUA4NRNZ2HoMpkERM99RpYhW0ACQLkyfGIBfweAF24/FBYvbN4npeFDD8kY7AAAR39QBBoUzywMADadtgO2nr5NXZsscftojZmhAKQBwBmtSkKrGeokALR+a/0+t10paDJ1J3N1EgCkvaiznEQCQH3WYokByAMAafOgpQAc+MdhmLWDLQmIBIDaAFAZqHztsevQ5me1AhA/YmZukwBQ31UjthSvAhBdcRftvcLcmQ9DssC83f4HAEmxxQbVdsYAZFVH0TYetIyGKuJVR82JASgBINvSRY+IcS4ZWPW0QHuv0PKeYQn3448KQPsBwDJQIltKj1O+6kg0fDJrz9syrnCOFANwV/9IKDlUnQRESwHYs0oeGLVanYm6eZlsMKRuwbfndN2AkwAQ4NKlS5A5s+dvNz3XsixjPQtIAGi9ObNFj0kAsOf8A7ri5pgRA1AkAKQlY5AAECBjsoSwrW/E27WtFwB2qZwLxq8/LeSakADQaUYSAMRMpq5JZIQY3WAjSgXg+hM3PMLT9b0qQWWLKgBrjN0Mx67dU1lL+RHEAwD/Vz0Yvl3hngU85iSYfXZAbXcXYAkA2RYtTQHoKwBYKFMyOHRFxgD0NJs5UieG8RwuwP4AAOftuuhRXcWyikkAEN/DtnIAQNrGgz8AQExq0HCieBfgE19Xh7wDVrCYnqms0gV42LJjMGXTWab6vIX9GQB2nrMXlh5iC4+hdAFuNSMK1p+4yWsaYj2lCzDG0y7y5SpVOd4kIKST6XEBxph3cQwlAaEDwJCvV8OtB+qQOcp3GKMAsFfVPDBylRoANiudDb6qxw4ATw2tAbn7q131/c0FWCoAhV6SAdmYBIABOe2+H7QRAIhZ5E5ev+/VJCDnbz0U5i5IA4C4y5UmiXezAJNcgLUAgPKhTHJZw99d/z/mwyJQvxi/AtAVAPoiCQgLAPw0PBfM5YgBaAUFYN2iGWGJSwzAOkUyMruYmnGXmdyshCO+DR4SALK5APepnhdGrDihOU0iAWBkvnQwrYXTBZgU586MteKrcwytXxCalsrmOD3pfqpUQqw5eh3a/mKOArBgpqRw+IoaKvvKRv56XrMBICmIP4ttGihcgM0AgFtO3WSGI9YAgGWg4cTtLKbXVdZMADh82TGYbBIAxPehHzgUgLSNRREKQCsCQNExAKsWSOcxjIQ5AHAN3HrwVHWd0ABgVP8ICB26VlVHSwFIAoAfl84KX9f7L3GHXgWgFQDglE1nYNgy7Q1cTzekF/duwZWJLR1FpAJQ163bloUkALTltPr/oCQA/G+OzACACKv6LVbHWhEJAI26APMqAEW6AHeslBMm6kwCwgsAV3UPg6pjNmleoEJdgNuWgibT2F2ASQDQX+8oKgBIyKCq7LedFYBdf90HfzLGAES1yHcrJQD09to2CgBblMkGP29nc7nWMyYJAOlWQgD4Q5NibvHvaDV5FYDvl8gMC/awZw+O6Q9mcB/zJgagSAD4V5fyUGf8FtWwcSMWFYCs6iia8ljLthhGYLVJLsALO0oASFvjyt95ASBmSHeNTa1sVwQANOoCbAcFoLcB4O8dykBIds8uwOjKe/O+NgAkxQBkAYCk9xlX1Z5eAEhK1uNvCkAJAFnuULIsyQISAMp14RMLkABgj/n7dcXNwRfPE9H33V6UWeKC0AZ97tZDYe6C/qAAFAkAzw2vCUF9l6lMaBQAZkiWELb72AXYLwBgy5LQaqagGIASAKrW6LqeFSF81Ebape83vyvvZzXHboajHlyAzQSAA/44BLN3XGSyU2S+tDCtRUlHnUBTAH5dryB8XFqfAhABRzsXBSDGMfrFCwCwQMakcOSqVAB6WsjcALBYJli0jz0GoEgA+FvURWFhG/7sUg7eG7/VDQBiDMANjO6RNOWxBIBMt1ZVYaULsJkKQN5QLBIAAtx99ByKDPGuC7A/AMDQoWvgBisA7BcBocP0KQBJ95XGoVlgeIPCb68REgB8+fo17Lv4r+o68gcAiCEI9rhkRVa+E07eeAaGL5cKQP67pawpAaBcAz6xQCABQFo2VtzlSpskoe55cH2IBadPAiu6hXmsLxIAnh1WE3L08y4A1OsCzPviSTKW3QDgnLaloCmHAvC9IhmZ1WS6F6/ggkoFIA0sSQCoNj5NAdimfBBgnC/XQwJAtkXsrwAwf4akblCZbWT2L50jTWL4oTGHAtBmAHBJ53JQ90cxAJB23/EHAIiKpkaTxLsAH/+qOgQP9F4MQHSD7BKe22HC4cuPweSN5sQA5PXEoAFArQR6LJv9PArATb0rQ9ZUiRx2bDkjihly0+6MqhiABABoNRdgPQrA0sPWQvS9JyrTUF2AGQAgSVmMSZW+bcQOAEmu+v6mAJQAkHaVyd9pFpAAkGYh+btXLODvAPDszQfC1EK0bKxmAMA5Oy9A/8WHVXOptRNPiwGI8UJyugBAozEAeRWAvC+eRgEggkeMq3j7oTqoMe1iWdktDKp978EFWKACMBAA4KSPS0D1gs4YgDQAuLZnRYiQCsC3S5QUM0e5fmMA4KtXr+H5q1cQP05siBUrFvAAwIjgtDC9pVMBSMp0S7turPw7DQCii++XbzIVumZKxHFjIHPWrMt67CUBIN1KCADHfVQMav+gdn+l1cRYfDwKwEYlMsPvBlyAMYHT9x8Vc3RPpALwj87loJ4LAMRYXKgA3HiSLUGCFQDggg5l4H0JAGnL/O3vvO9hZgDAjrP3wPLD0brHggV9DQBFJwFB93lPmeRPD60BcePE9mgjUvzamAp6AGCZ4Wvh2l1zASDGVB3RqMjbcelVAJIAYOPQrIDrledwPW+xrMlhcadyHptqMGEr7HVRJqL3Fb6D4SEBIM9MyDpKC0gAKNeDTyxABIDz9ut6aTbDBVgCQOeyID308WUhl0uGLF0AcOQGOHvrIXG9pU+aEHb0Y88CzPviSepEh4o5YdLGM7quBwSAv+266JbVjFZZAkCahdh+VwJAGliyMgCsNW6zm7umEtTzuAD3rJIHRq1WZ81TWh8BIGaobfvzbjgefR8wkQeqoYYuO8rsAhzIABCzECLE07qf0gAgBjJndbnWcxVJAEi3Ei8AxFh8izlcgBsWzwwL9/LHAFQCQFLiL/qIySUWdyoL9Seos+LyAkDaxoNWH/H+s+bYdd4hMNWzAwD8Zvlx3e8zTMYhFGZJoKasjhnSXWNTK38XoQD0RwBYMU8a+Ll1qGOo/z56BkWHrFZZ1WoAEK+XkpQYgGWHr4WrjABwZ78IKKXTBbhvjWA3l1jcUBn5vjYALJk9Bbx45e4C7G0AWDRLcsBNFU8HyQVYCQDxWwWvcZ5DJgHhsZr96kgAaL85tcSIJAD8b5qi+kVA2qTedQEWqQAkAUBdMQAZAKAvXIBZAaA3FIA/tQyB1jPVWUB5L+jZbUrBx9PZk4BYyQVYAkDn6uABgD2q5IHRFAD4+jXAT1vPvV2CYz8qClHn7sCcnWwxAMOD08JPAaoApAFAjPE35I0CcOWRaGg/a4/qkvcWAMyXISkcc4kryXuvsWu9nGkSw1gOBaDdAOCiTmWhgQsA7FczGLacvg2bGBWAVgCAWsknjK5zM12AzQSALOFTlDbEBEmunimiAaBRF+AWP0Uxq1xp60TpAkwCgKJdgL2tANQDAMt9sw6u/PtYZRrlJiYpCQgLAMT7kWtWXEzGNPqDom/P6Spo0AKApOvUbBdgCQBpV5H83agFJAA0akFZn8sC/g4Az9x8IMxdkOoCbAIAnL3jAgz4Q4wL8KmhNSC3iwJQNABsOm0HbD19m7q2RMYANAMAruhWAap/v1lzXP4AAOsUyQh/MWaUpU6UlwooAeCao9ehrUsCBeVp1/SoCJGjrZkEpPYPm+HwFXXCBqMKQBoAbF0uSAX/0JYJ48UGVCkZAYC0efLSUvFZs0YBYNNSWZntrWewGDsWlZ3y0LaA2QCQN3twzAgwgzsCSzxEKgAXdiwL+EGqPFBxs/UMOwCkKY+1ZsNMBaCW8szotXJ0SDXIP2il0WY01iCIxAAAIABJREFU66NtP41wxgC0AwDUSqDn7RiAG3tXgmypEjvsKAGgc7l5cgH2FgDc0TcCSg/XlwRkSN0CMGjJEdW1gc/OofX/c9s1AgDNdgEmAUCMvx47ttMFWCoAvXYbDZiGJQAMmKn2r4EGFACkZGM1QwFIAoBasXhoMQBJGbKMugCnS5oAdvaLfLtI9QJAX7kA43nn7brE7AIsAaDY+9Ckj4tD9YIZHI3SwJKdAeBnv+2DJfuvMhm3e2QeGLNG2wWYBADjx40NmKlUAkD9pv6qbgFoVia75kcUugcjJMRjxeFo6DBbrQBE5QEmcRJ9SABItygvAERX3D8Yr0fsDW/swJiRKAEgKfEXfcTkEgs7loGGE9VJMT5HAHj6Fmw+dYupWdrGg1ZjmEl8zbEbTOfiLawFnnjbi6lnJgD8dsVxmLhBX0gTo+Ni2TxVnoumABQBAHlcgH0NAM12AcZN/XgGYgCiYjY0KKXHZVT+23Vw+R82BSALAMR3wQ6z96r6MKh2fmhdPujt//TGACQpAP0NAOK1jdc4zyFdgHmsZr86EgDab04tMSISAOw+b7+uuDkYAxCVC67Bsll2BWlGOn3jgTC1EC0ZA8rc03nZBVgkACTFxxANAPW6AEsAqL2SZ7UJhWbTo2hL3e13aykA/wOAq49eh3YeFYBhEDlaOwELs6G8XEF5P6MpAHkAYLfI3PD9mlOaoyACwDixoVFIZmYgVTlvGpjRyhnziAZqvWxW05uXANB0kws7oQSATlOSsuJi1s1tZ9gBIG3jwc4A8MiX1aDAF+YoAEesOA4TTAKA7Svm4Mo4HKgAUBkD8J+Hz6DYV76NAWgGAAwbsR4u3nmkurxpLsDb+4ZDmeHrVHUw9ujQZcfcbhMkAPhFnfzQqpxnAPjq9Wu3ZBv+CgAxAWOcNwpACQCFPeYDtiEJAAN26n07cAkA/7O/GQAQs0gOdHEB5lUAkh6OdgCALC+x3lIATm8RAm1+FhMDUAJA9T1uTQ/rAsA6P2yBQ1fuar4888QA/CwiN4xdywYA48WJBe+HZJEAkOHxSQOAGOPv63pON6UVh6+5qRhQeYDunKKPvOmSwInr0gXYk11zpX0XxnxQFOqMZ8sCzKsA5I0dGDMGjN86rrHTBVikApCUFIMXANI2HuwMAA9/WQ0KSgD4dooxQ7praBrl/PtKAbihVyXIntrpAtz8pyjmOJe0ezUNAJodA9AOAHBi0+LQcQ6bAhBjAL585Q4Ajw2pDvkGrVBNo9kKQFJMRCUAnLDhNIxYcYK21Ii/SwUgl9lsV0kCQNtNqTUG5P8A8L4wtZC3FYD4Ibeye5jHifc2APz+w6JQr1gmj30I95AEJG2SBBDVn90FmDf7HKmjZgDA5Z9VgBpjtWMA+gMArF04A/x98JolbiRKF+BVR6LhE5cECspBSAContKuEblhnAcAiBmAZ2w9r6oUN3Ys+KAkOwCslDcNzHyjAKQpNS2x8Bg6ibGJmntwAaYDwCzwa9QlhjPqKyoBIN1OvAAQXXFZXfKxN7zgkAQASYm/6CMmlyAlxehTPS9sO30btpxmcwGmbTz4AwD8tV1paDx1B6+5NOsdGlwVCg1eJbzdmAaVMQBNVQCG5YDJm84yjwtDH7huTCsb0ZoHFm+fDrP2wIoj0Ux9UwJAvd4oLCegAUDRLsDoPv/z9guaXTQDAPK4ALMoACUA1L8CJQDUbys7l5QA0M6z68djIwHAbr/t0xU3xxwXYHEAkJaNFeNcpE/GnwXYHwCgUQWg1QAggsf5u9ljAJoJAH9pHerYvWY9rAQA8aWvRiFnDEAaAFzdPQyqjLGmCzBJAXhueE2IFcsZEJpHAdg1PBeMW3dac3lIAMh65ZDLswDA5YeuuakYGod6BwDmSfcunLz+QMwgbdqKBIDOiSUlxTAbAEYEp4W1x82JAUhL3Ma73L0NADG+Im7s4GFmDMBPwnLAFJsCwCZTd8C2M/SEdCxrQgkA7zx8BsW97ALsbQCI94dSOVJ5NAFPFuBtn4dD2W/0uQCTAODA2vmhjYcYgFZTAJ4eWgPivonVKBWALFecLEuygASAcl34xAIkANh57l5YqkN5hDEg0HXJmzEAT12/LwwW2A0AkuTxogGg3l1XXykAJQD0yW3D7aRKALjySDS096AAtDIAfG/8Fjh4We0CrASAn/66jzlzMw8AxPgzH4QgkGJzSVV+8ASaAvDL9wpAi7LaSUCUmQpJAPCjklngt13iFYC5074Lp25IAOjpToYAEDPcvzd+K9MNj1cByFsvpnNKF2CRCkCSKyaGEMEYgFtPs8ERmvJYy9B2AIAHB1eFwl5UAEoA6L56eJKAKBWAH03ZDjvO3mG6/mmFaQBQtAswDQBiYj9M8OXp8JQF2B8A4ISmxaGTiwswLwAkJevBjbjhDQrTppb4u6vtimVNDos7lfPYFskFWAkAf1x/Gr5bKV2AuSZEVnJYQAJAuRB8YgESAGw/azesPHKd2h8EgJgEZOHey6qyLG4BtJPYDgBuPw8DlxxRDZs3BiDp4agHAFYeuQHO3XpINH2aJAlgl4VcgHkB4LKuFaDmOG0X4GnNQ6Cth0QWtHWr/P3n1qHQgkMBWKtwBl0gnqUv3irLAgBXdQ+DqhZVAJIA4NlhNSH2m4DQPADw0/Bc8AOjAhBP92FJ9ph0yg8emlLTW2vFV+2yAMBlh665fcR8GJIFFuy5BK9eix2BBIB0e/ICQARxfx5gy8qNvTEKADGB0w9vYgCSEn/RR0wuIRQAUpTH/gAAee1Eq3fgi6pQ5EvvuQArAaCZLsDtKgTB1M3naMN3+x3jo7q+lyoLiXAB5gGA63tVgqA3MQA/mLQdos77DgBeepM4I0vKRA7TeAJxpAlAd2J/AIBlh6+Fq3efaH6zkYDX1s/DAZWDykMrCQgvAMTn6p4L/6jOIQEg86UsK1jQAhIAWnDS7NBlEgBsPXMXrNPh4mEGADx5/b4wWEBLxoBxLjIke0f3tLq+AOhyARYIAEmZ7PTEAPQEAFO/mwB2D2CPAdixUk7AbFgijvYMcWwkABRhceNtKAHgisPR0GH2Hs1GrQwA647fAgdcFIDKgNBd5u5ljtvYpXIuGL9e2wW4ZdnsMHObOgYgehx/xAEAw/KkAXRJx0MCQPUSbVIqKwyr70wCQgKAH4RkhoV7rziClYs8EG5htnt5aFsAIekoDgUgLwDkrRczAm8BQBKIwQ3EradvMbtH0jYetGbDTAWgt66JA4OqQpEh5gBAM12A25YPgmlb2AEghkcY5LIxrbS9CADIEwNQCQBJYMro+lBuiN1+8BRKfL1G1WSMAnD8ulMwctVJx2+9quaBLuG5uQBgRL608IuHGIBGFYC4QVCa4gJcZvhauGYyAMRwUW0r5HhrW9dvJ3QBJgFA0jeOPyQBUcZqlApAo1ehrC8BoFwDPrEACQA2m74TNp+iB5S2GgCkxWIzCgAxltOq7hU9zuMsAgDEF4qYlwtlZaWSkrTbSMpkpwcAekoC4goA9boASwCoPe2BoADEXd+ab2IAkjKoKq0jAaB6rWAm6x/Xa8NzEgDEFniy0gYyABxcJz+0LBfkML6WegNhCsYqWnvsBmAoDOXhLQCYM01iOHOTrMj2yUuBH54UAeDI94tA3R/ZXIB5QR5vPW8DQFJMPHx/wNhorPHRaBsPWssgPDitrg1iP1xGb7skAaB6dmgAUCsWI4u3j1EAWH/CVth38V+hy0oPAMT3lfyDVqrOS1Km0TqGCkB/AIClh62F6HtsCsAt/6sM5b9drxoiiwJQLAD0vQuwBIC01S5/Z7GABIAs1pJlhVmABAAbT9kB28/S48mYAQBPRN+Hat+LSRjgDwDwl+3n3XZaeQEgKZC1HgBoJwUggscFHElAlnYtD7XGbdG8jkS6AM9sVRJaztjFfM1ayQWYBQCu7BYm7JpmNipHBeVHDkkBqIwHozd+qrIbtPiZ2gCQPSlFhdypYVabUo7TB5oCUA8ARLtgBtgq+dO7AcD3S2SGxfuuwAvBCkAJAOkXJS8ARCXeXxwuwLz1YkaCCZzGNynu+HPWjgseM6zSR/9fibltS0GTaTtVVTDjLMI/Pe9syoq0jQc7A8D9g6pA0SGrWUzPVLZ7ZB74LNKZBMRMF2DcvJjuBQUgLwB88fIVfPHnEcd989Gzl0w2xMJKBSDC/wOXzAeA01qEQPXv1eFi1vQIg8jRbN8legDgia+rQ4K4cTzayZPrsR4FYKlha+D6vaeqcyjfcUhKSxYA+GOT4m7PTn8FgMHpk8Dfn5Z/m9CDZHiSPSQAZL6UZQUPFpAAUC4Pn1iABAD1Su3tBgAx01XG5PwuwHoUgP4PAOPD7gFV3q7FptN26Aou7isFoLcA4NTmIdBOUAxAbgBYKAMsPXTNJ/cF1pMqASApgYKyPUsDQMJHiPJlkAcA0q4dbwFAWrIW1jXg7+URAFYOTgujV5+EJfs9x4Ub36QYdJm7TzWkRiUyw5L9V+D5S7EuwDnSJIazUgHocfngs/W7RuwKQF6QZzQDu7cA4Jy2paCpBICGbzX7BlaBYi4ZXw03qmhACQDNdAHmBYAYHxVBndbBCwA3n7oJzaZHcZt2Xc+KkCPNu476pPi73A2/qUhTACK0m9ysBNT+Qb1ZjGASN9JZDmwL1bO4IaB1mAEAQ4eugRv32QDg5j6VocIIfQpAHgAYmj0lvHz92i0GIMnLSWQSEJyHHKkTA0LemHXmOjek72Glq7bSPZxlPWDZF/duwZWJLR3VLl26BJkzZ2ZtQpa3gQUkALTBJFpxCCQAqHenzQwAeDz6ntvuG6+daQpAqwFAUiY74wpANQDMN3AFPH5O37ntUDEnTNooJgbgJ2E5YMqms7qmWQJAXWbyeiEWALiiWwVh17TXBwYAKgUgDQDO2csMbWnXjgSAYmb5izr5HR9femCbFgD8c/9VePbylZgOvWkFP0DOaiRlEnoiCzcmAaBz8ma3KQUfT1crADHhBGYBZs2QSlMeay2XynnTwPoTNy28mgD2DqwCxW0IAFuXC4KftrLHAPQWAAwbsR4uvkmewbNglACw1rjNcOTqPZ5mNOtUypsGZrZyxsS99eAphLjEAERoh+82rqEHNvWuDGHfqYEYrWNmAECM1VgmZyqPXcEx4liVB00BaBQA4rdiuzDtGIC+BIBoh4bFMztizJKO9ydtg13n1clJJACkrXb5O4sFJABksZYsK8wCJABYc+xmOHqN/qDtVzMYTkQ/8GoWYLsBwJ+3nXfbaUUXnlGrnQGGtR7KJNk/KZOdaACoN9MZDWKwLFi7AcAZrUpCKw4XYCuBAdz1RZdlPEgJFJTzbzcAqHwZ7MwBANtXzAGTN2oDbwkAWe4e2mUxycfcnRd1NYYZXDGjs/LAjwR0J5UAUJcJhRZCADiiURGoxxgDkFcBaDT8AtbHeyIepLi/vMYhJTJDtdn2s+wAkKY81uqjBID02fOVArBVuewwY6s6YRS9twCojh7811HNoiTXcyxMiwGImWOv/PtYTxeIZZQAsMbYzXBMx3cJy8mUCkASAMQkIOMaF4MGE7apmiVlxaWd138A4Gq49eCZ5rcGSfHGAgBJm2e8AJAU5ki0AjDGEFprWQsA4nvA6FUnuYB7zDmlApB21QTG7xIABsY8+90oSQCw6piNcPI6PSshAsDj0fdh0d4rmg8TowPGBz4++EUctGQM+FDHh7TewxWO6XEBFgoACZnsjALAVInjw56B/7kA+zsARPD4+55Lbi80tDnEuB+ubh3KOiJdgHkBIG0M/vQ7CwBc/lkFYde0GTZQvhgigNjvEodI6bZjJgD8qGQW+G3XJSYTKGMA0rI1MzVsgcINimWCRfvUzyqtbpMAYIPimWDpwWvw9IVYBWBQ6sRwTioAPa4gXgDI68rrrwCQ5MXQLTI3bD9zG3aeu8N0FfJu2tkBAO4ZEOmW8ZXJeJTCOCfdIvM4SpnpAmw3ALi2Z0XI+cYFuNqYTXDi+n2R0wR6AOCYD4vC+5O2q867o28ElB6+lqkv/gIAS3y1Gm4/9C8AqGVIfwWA+M438I/DMH/3ZaY14FpYAkBD5rNNZQkAbTOV1hoICQB6yhKrHJ3VACAtFpvVACApkPXYj4pC3aKZPC5CT0lAJAB0mm5KsxLwyaw9Qi7mGS1LQquZ7ElAhJzcpEaUABAhiWsGVWU37AwAO83ZA8sORTNZvX1YDpjsweW9RZls8PN297hBPACwfK7UMLutMwlIoAFAVPAt3KvvhR1VH11dFIAIAJcfitYVEoFlAUgASLdW3nRJ4NtGhZkVgNwA0GD8VW8pAEkAsGtEbth5lh0A0pTHWrNiBwC4q38klBy6hr7wOEv4CgBqqcVpw8DwCF/6oQJQCQCrjN4Ip27QhQm0sSp/V7oA37z/1G1NoAIQs49/NGWHEABYOTgNzN6hrUI//lV1SBiPPwkIxmosmzO1RxOg6/sdkwEgfit+Epbzbb/0CgtIYY7wveebhoVZplnXeVkUgAgA8w5YwdUHZSUJAA2b0BYNSABoi2m03iBIALD8t+vg8j902b4EgEtVE262AtCfACDvxwTpimFxAfaWAlACQLZ7WaAAwPoTtsK+i+pMhMqXdh4AyLLelbMiASDbGv0gJLPuHXsiACyWCTBxykOObJaeepo9VSI4f/sR22ACrDQCwG8aFoL6Lq54NDPwAsCahdIzg3xlX5QAkJT4i9Zvrd9JXgyfhudyqP+iGBWAtI0HrT4gNNlg8RiAEgCqZ9cKADB81AZd8VtZri09AHBEw8Jumbe39w2HMsPXsZzK4V3kDwCw2JBV8M+j56q+02IAkmIeolvv0GXH3GxAcgGWAJC8VCQAZLqEbFtYAkDbTq1/D4wEAEsPWwvR955QO24GADx69R7UHCfGBZimAMRU95lTJKKOO6aA6y5W7rTvwuoeFT3Wn7n1nFusFQzijZkpXQ/lQ5m0Y0bKZGfUBThl4viOANlaY9QanEgA2K5CEEzdrC+QtQSAuperVwviS1/twhkd5/j74FW3DKrKky/rWkHYNe3VQb1pnOYCrASAHWfvgeWH2RSALOtdOV4eAFguVyqY07a0o5lAUwBi7KBfo/S5TJMAYP1imWDNsetw/8kLocsuW6pEcEECQI825QWAvK68hgFgoQzwY1NnDECRAJAUTqJz5ZyOIPWsAJB348EOADCqfwSEDmVz4WS56O2mACRln0Z7eDsGoFIB6MlzhWVulGV5ASAmDCz7jTUBYNEhq+BfLwJAUviMvjWCoX1FMQpAfF6iEjpbqsTM0+5JeciiAMR3vuCBUgHIPAGyAtECEgDKheETC5AAIClGBKlzVgOAtFhsVgOApEx2gQYAETwu3HNZeAxAkQrAn1qGQOuZu31yfZt1UjsDwOD0SaB3tbwQkS+dwwXRNQagUQDYtnwQTNuiD3gr5/PDkCwwb7c+oBVTTw0Ar0GH2XvNWiI+Pw9LEhAMpfDZb/tVfUYAuP7EDbePJ6MDkwCQbkGzAWCNgumZQb5yFLW8BQAJ4SQwmcceBIDn2WIA8m482AIA9ouA0GH2A4Ba4SJoV9ig2vlhyN/aSUB4AaBebyKt/q3pURFypX3X8XPF79YL3yhRAsAb95+4QWF0ASYpAK0MAIt8uQruPmZTAG7sXQkqfrdBNU1aCkCRAJCU6BA7ET9ubJjcrARUzpuWtrRVv0sAyGQuWdgkC0gAaJKh5WnUFiABwMKDV8I9HSoH3NXBoLzeTAJy5OpdqDVui5Bpo8VisxoAJAWy1hMDsNJ36zVdzqymAPQWAMSXi/aCYgAGGgDETKmuGVSVF/DSruWFXdNCbgw6GkkUP45DGYuxgFwB4LEh1eGd+M64PR1m7YEVR9gUgG3KB8F0kwBg2ZypYG67GAVgYAHAj0tn9Rh/SbkMSACwXtGMsPnULbcA6jqWj8ciWVMmgot3pAuwJyMhABzesJBbNk6a7XkVgCIBICnxF63fWr+TniWogt97gR0A8m482AEA7uwXAaW8CAA/i8gN3auYnwSkeZls8AshXixtvVkBABqFiSQb8AJA3izAeL45HjLRG44B2LYUlM3lOQYg6fuO5gLsbwAQ5zL1uwlg94BI2tKWAJDJQrKwLywgAaAvrC7PCSQAmH/QCnikI86R3QAgprrPktK7LsAztp5zC7bM6wKMD7+Qr9WBrI0CwBSJ4sG+QVXfXhl6g/XyxhMiXYIsygReAPhXl/JQZ7w2WJYAkO3mqFQA2hEAojXGfFgEZm67AAdcsgBLAMi2VnxVmkUdg0rqbvPUCsC6RTPC1tO34daDp0KHkCXlO3DpDj3mrtCTWqwxVOEOa8ABADmTeVQvkJ4Z5CtNii7EE5qWcPzL2wAQXXn3XfzH4QbMcvACQMycuvHkTZZT+V1ZCQDVUzKwdn74ys8VgOW+WQdX/hV7n+QFgCgWKP/teqZ1jTEA/QEAFhq80i2MhUgASAqf8XmNYMCNiphD73fFgUFVociQVZp2prmgu1aUCkCmJSsLm2QBCQBNMrQ8jdoCJACYu/8yeP7yNdVUDgAYfR8W7buiKst6U/Z0osNX7kLtH8xRAPoKAHaPzANj1rDHACQFsg5MAHiF+aPcTAA4vUUItPnZ3i7A6PZRp4gzBuCfB666ZVBVXuNWVABi/79pUAh+3XXJDQAeHVINEsWP6xgijwKwdbkg+GkruwswS1KLGPsrFYDLD12DjnMCxwWYBQCO/qAI9Jh/QPVoQgC44+xtuH5PAkDqy4HgAhIAOg1KepYgyDtw+V9mAMirPLYDANzRNwJKD/eeC7DVFID+CwDDIFfaJI61rzc2OcuthxcA4rdChREWBYBfrIT7T9VxbGkAcEOvSlBppD4XYLsBwA8mbXcLryBjALJcZbIszQISANIsJH/3igVcAWCmTJkgqO8yXeeyGgCkuWIGCgD0FEvFHxSALMoEVB4u3MseA1ACQF2XuO5CLADw70/LC4P6ujsooODwBoXgNwIAPPJlNUicwAkA28/aDSuPXGc6W6ty2WHG1vNMdbAwDwAskyMV/PqJ0wU40AAgi3vcqPeLQM8FagD4XpGMsPv8Hbh6l54gi2UyMc7U5X/EKltYzm+FsggAh9YvBA0nbmPqLsbiW3roGlMdLFytQDrm61h5EqUCkJT4i7lDbypMax4CbX9RbyYhyENV8u4LbApA3vuOHQAgTxZXljnzFQBsVjobzNpxgaWrjrIDauWDr5e6Z3SNaWh2m1Lw8fSdbu3SNvuNuu2u6fEfAAwdugZu3Be7+aICgPeeuMWF1IoByAsAK+ZNA3O96AKMsRrLUVyACwxa4ZbJ3tsA8H/VgwFjlcYcehWA+wdVgaJDVmuuZ9r6c60oFYDMtwZZwQQLSABogpHlKdwt4AoA02XICLn7L9dlKgkAl6rspCcL8E9bzrkFW+ZVAGplsqucNw0MqVtQ053ZEwBMnige7PexC7A/AMBJH5eADrP36LoOaIVIH220Olb7XQkAl+y/4pZAQTkeqwLAYfULOZJuuLoAGwWALctmh5nbJAD0pzX/XaPC0Pv3g6ouocIVY62JdkND1zDRbfqTLUX0hRcA8mbzrZo/Haw6ygbylePEGIITP3a6AIsEgFObh0A7FwCIIO/Q5bumAcCwPGlgk8VdgHmSOLCsYyUA/Gb5cZi08QxLde6yLHFOlSexAgDEcDeiwy/oAoCNCkOTqWr4ual3ZQj7jl0B6A8AkBTiiQYA1/eqBJiFWXloJQEhKQDtBgAx7Eu+QTILMPeNSlZUWUACQLkgfGIBVwCYKm0G3Tc2CQB9DAA9ZLKrkj8d4McC6fAGAMQ4RFM2nRWyhtkBILsL8J9dysF747dq9lckACR9tAkxlB81EsgA8PCX1eDdNwrAT37ZzQwOzASApXOkhN8+KeNYOYGmAGS5XDDzY5+FagBYu3AG2HfxX+GwTgJA+sxIAOi0ESk7Pd4/Dl25C3sYFYC89x07AECeJA70Vfpfia4RuQFjO+MRyACwwoh1huKbKhWAxb9aDXcePmOZBmpZXgBISopBOxne52kAUBlPWKs9Tyo2PQrAfANXwOPnL1XN0wDgup4VIXzURl0AkJRAywoAED3ECmZKBmmTJFSNk+QCLAEgbbXL31ksIAEgi7VkWWEWcAWASVOng8KDtYOuKk9sBgDEnW1PyRpYDEGLxWbUBThX2ndhTY+KHrtEUgB2i8wN36855VZP+VAmPfRpgay15PFhI9ZrZp1M9k48OPAFexIQCQC1p5300caybq1QFnd90UUSD7sqAIfWLwjz0QX48l3VlBgFgCyx6ZQnfr9EZliw5zLT8lACwGWHrkGnAIoByGIojPf4+aJDqioIADEDtGh3XQkA6TPjBIAFoeHE7fTCihK8CkDcQFstSAFISvzFNAhFYVJyKnRtx1jJey/+y9RsIANAniQOLMZVAsBvVxyHiRvMUQA2LZXVY5ZZrTF4SwFoFACu7h4GudM5YwAWHbIK/n30nGUaqGXRW2ZGq1BHuev3nrhlhna4ABMUgKSYeLST+RoAvnz1GjafugktZ+zy+K3RaOI2NzXx2p4VIcIAAOxTPS90qpTr7Xn1ugDvG1gFin1ljgswdi5l4viwsGNZCEqd+G1fJQCkrWz5u1ELSABo1IKyPpcFXAHgO8nTQAmXzLJaDSMAPB59HxZ7MQmISABIc8VEWX/WVPxZgM0GgLRA1mYDwOlbzgG+ZBg9WBSACB4X7fVvBaDIjMJGbeut+oEMAA8NrgpJEsZzmBbd81jBAUtsOuX88QDAUkEpYV57pwJQAkDtqwHjPfZ1AYC1CmdwuH9LAOitu4h2u7wAEF1xlx+OZu5wZL50sOYYvwswZhGe1MzpAiwSAJKU6ej2efTqPWYAyLvxYAcFoJkA0EwFYJNSWT3GmNO6EGgAcFabUGg2PcojOCK17WmzWc9FqQSApOxOqVEXAAAgAElEQVS1etrwVMZsAIjXzq9RFzW7ZFQBiLEay+dOTWy/7c+7Ne9pNAUgChsiR/MrAK0CANFwuNE3vklxjwAQE7/lH7TS6PKDF/duwZWJLR3tXLp0CTJnzmy4TdmA9SwgAaD15swWPXYFgPGSpnbbBdMaKKZ2xyzA3gSABy//69FVk2US/AEAIiT76u+jqm7zKgBpgazNBIDtKmAm0/NCACBLdkJeALikczmo+6MnF+Di0GG2mAypIt2JWda7mWWVAPCPfVeg27z9mqenJWAxs98s5/q6XkFYgDEAXRSABwdXhaQGACBv4HYJAFlmj60sqs36Lz6sqoQJJTDbqmgAmDFZQuGJRdhG6/+l82VICl/XK8CsALQfAHR/LiH0OXbtnsM9neXgve9UyJ0aNp+6xXIqvyvLk8SBZRC+cgHmBYBa8dxixuwPALDgFyvhgUv2WpY5IZVVugCzKABJMfFofUEFoK8A4Mnr96HqmE2aXVR+K2CiJddwAuiKHTlaXV8LGpNcgHtXywudK7MrAPcOrALo+q11iEwCojyHsl2SAlACQNpql7+zWEACQBZrybLCLOAKAF8nSqk7vb0EgOoYgHoUgP4AAD25ZSRNGBcODq72dn3plerbDQBObFocOgpyj5QAUH27sioA/OoNADzoAQB62mXXumnzBm7nAYChQSlh/hsF4NKD16DzXDGQW9gDyU8awrke+IcEgH4yHYAA8Ku6BaDRJDYXYH8AgKSwH7x2JT2XGodmcXhiSACo36p2BYCNQ7N6VJhpWahfzWAYtuy4pgF9BQBXdQ+DPG9cgEnJK/TPOLmkEgBG330CpYevVRXUcgEmxcSj9cWXAHDR3svQY746q72yvzNalgTM7h07dixHpnVXAIhKzCouAFELGksASFsJ//0uFYD6bWXnkhIA2nl2/XhsrgDwecIUbtmetLpvBgBElytPSi0W09IUgBjYN1uq/2I/0Np2hWO8ABAzxo1dyx4DkJbJTmt3zFsAcMbW8/BCgAuwPygAxQJAcWpC2pr01e/40le3aCbH6Rfvuwzd52m/bNISsPhqDLTzIoDAmHuuABBjZmLsTDx4ACBP3KZYsQAaFs8MvzPGAJQAkDbLzt+H1C0Ag5YcURXGeHKYbOHSncf6GtFZKkOyhHDt7hOdpQOzGC8ARFfcFUd4XIDTwppjN7iNrXQBFgkAJzQt7ha386OSTgCI8SlZDt6NBzsoAHmyuLLYtmt4LuhRNa+jipkuwAiDf426xNJVR1krAMC8A5bD0xevmMfmqYLSBZgFAJJi4tE6pgcAorIsUfy4HpvytCmPoLZC7jRu9WnvZFgB3ydGfVAESDEAfQUA9wyI9BiSylcKwCNfVoMCX0gXYNqal7/rs4AEgPrsJEsJtoArAHwUL5lHqbjy9BIAqhWAOdMkhrU9K6lm6Mnzl3Dh9iNInyyhAxJM23wWvl56TFWGFwDSMtlpPRzLf7tO043NiALQFwAQlYeL912FWw+eMl0ZNBdgkQCQ9NHG1FkLFA4UAIjAzdUF+MCgqpAsET8A5HHbkgDQuxfFl+8VgC/+VANAVJMdvioeAKZPmhCi70kA6GlG82dI6oCyrApAXgAYEZwW1h7nB4DVCqSDyc1CHEPyNgBEJfCpGw+YASDPxgOORwJA+r1HAkCnjYzGAFQqAPP0Xw7PXpoPAL9rVAQaT92hmnRSTDzaqnACwNQeAa0vASD2H4Fb+1l73JKA4Dy4uhCboQDcPSASQjzEpDcFAE7eDlHn7qimVwJA2mqXv7NYQAJAFmvJssIs4AoA78ZOArXGbdHVvtUA4NTmIY4g/VqHUQWgKwD899Ez+GjKDsfufJokCQAD9GIWLlEAkBbImgcAJkkYFw5xuABj4o6Z28QoAFuXw3iC53StQV4A+EfnclDPQwxAkdDuxybFbe9qqQSANHcTqyoAEUAgAHRTAKoA4C5m5RAPAIwdC6ABjwIwe0qY38GZBES6AGvfYr6okx++/Esdq1UCQF23ZK8UQgD4Zd0C8D6jC7DdACDpWYLKndM3HzgS1LAcPPcduwBAfNer+N0GFnMxlfUVAEQ16G+7xCsAf2kdCs1/Mj8JiBIA5uy3TEiMaeVEKhWA1+4+hjLD16nmGV2AyQDQPSYebYH4EgDS4jLH9P3vT8vD4D+PuAHAld3CoNr36hiAWgDw+w+LusWA5o0B6K8A8PCX1QBjUho9pAuwUQvao74EgPaYR8uNwhUA3n79rm6XWzMAILq1eAI1LAaf0qwEfDJrj2aVDb0qQXZF+nda265SfFcAOH7dKRi56uTbZjCzYOkcKYUBQFocm0AAgLQ50vqdBgBFQrvxTYpBl7n7eLtqiXpKALhwz2XouUDbBZimvvTXAWsBwP2DqkDyRPEd3W77MzsA5InbJAIA/n3wqu3XJe9aGlg7v1uyJoRJR6/dg4t3HvE2S6yXLmkCuH6PTcEstAMWaIwXAKISb+UR9my+4cFpYZ0gBSAp7i+vyUnPkgbFM8GZmw+ZASDPfccuABDf9SqNtB8A/DAkC8zbzQ4A+9YIhuHLtWMA8gLAit+td3jA8B4InvKmT+KoHtR3Kbx+zdsSuR4vACS5xNJ6ZgUAiPGZB/91xC0G4IpuFaD695tVQ9RKAkICgL2q5oEu4bnf1tcbW3xX/0goOXSNpml9pQCUAJC22uXvLBaQAJDFWrKsMAu4AsDoF4l0u9kgADx+7R78sf+qqj+sN2VPg7EyACS9sJAempgxbhxHDEBeAFjum3Vw5V9yHCsjCsCft5+H5y+Nv6GxKAB5LwQJAHktR64XCAAQ3UJRAYhx4JSHEgC2mbmL2XWQJ24TAsD6xTLDwr2XmSayZPYUsKBDWUcdCQC1TUe6TyNMOnbtvnAAmDZJArhxXwJATwvZbACIYGD9iZtM15aycNX86WBKc6cLsEgA+EPjYvDpr+rNpPrFMsFZVAC6JCeidZ7nvoNt2sEFmCeLK82eyt8/Dc8FPX0QA5AXAOK7PMYq1Dp8DQBfv34NQX2XsUyBrrK8AJDkEks7oR4AiK6liRPwxwDEecJMw67Hkv1X4LPf9tO6CLg5O+Tvo24AcPlnFaDGWAkAYwwoASB1KckCDBaQAJDBWLKoOAu4AsBLT99xi3ehdbb/VQ+GE9HeBYD7Lv4D9SdsEzJgsxWAlgSACeLCoS/ZswCjC/Av2y8IidFiBgBc3Kmsx3UlUrVH+mgTsqD9qBHc9a1XzJkEBCFZLw8KQJ7stf4w1MF18sPCvVfcAOC+gVUgRWKnApAHAPK4bUkA6N0VQQqKLwGgd23uqfUCGZPCF3UKwAeT2bIA8yoA/RUAjmtcDLq6AMC6RTPC+VsPmQEgz30H56h8rtSw5fQt3y0GAWfmyeLKclpfAcAPQjLD/N1sm0I4Ln8HgC9fvQZ0ARZ9mA0AEZ57ctH2NQDEjfGvCABwWdcKUHOc+QAwqn8EhA5VZ2ZWrgFWsYle5aGyXXzmuMYAPDS4KhQavMrwcpQuwIZNaIsGJAC0xTRabxCuAPDsowTEWB+kkVkNAE5uVsIR4FbrwF3hIIEuwN4GgLRMdueG14RYmC3A5fCkAHw3QVzA3a2YQ+8DEzP3zpIAkLi0UB2nZ/fVeneP/3rMAgCtOk6MC7eIAAD3DqwCKd8AwNYzdzG7DvKoNngBYEi2FPB7R6cC8K8DV93URFadG9H9JgFAVHVhPFfRLsAYH/amVAB6nEIrA0BS4i/e9Up6ltQpkhEu3H7oFpuUdg6e+45dACBPFleaPZW/+woA8m6u0QDgz61DoQVHDMBK362H8wZcgNH1NDh9Unj+8hXk7r+cZQp0lUVX/59alnSUvfrvYyj7jXsMwBGNCkOTqTtV7ZFi4tFOiApAfweAizqVhaFLj7kpAJd2Le8WG17LBXjMh0Wg+zx1CJieVfLApxHsLsBR/SIgdJgEgLS1JX+3tgUkALT2/Fm2964A8OSDeNB6pnaiDOVAzQCAey/+Aw0EKQBpmV2tBgBpgazPDKsJcZAUWAwAtiqXHTCjsDcPmgJQpGovEAAgvvShSyoeC3Zfgt6/H/Tm9PmkbW8BQB7VBl7WqLhEIMlySACoz1qkmFhV8qeDk9fvG4ppRTp76ncTMGcx1zcK+5TiBYAIbVcdZY8BWClvGthgwAUY1womHcPD2wCwVuEMcOnOI2YAyHPfsQsA5MniynI1SQDotJYoAPjk+UsIHriCZQp0lVUqAFkAICkmHu2EZgBABLUVCS7Afx646qYcJvV3YccyMHzZcbckIJgcpPYP6uSQEgBKBSBtzcvf9VlAAkB9dpKlBFvAFQAeuRvXo0pOeXqrAUAa1DEDAJIyZ2HGuHHrTrvNrFKGTlLi0QJZnxpaA+LFie3WrscYgJwuwCIVgGYAQNzp9ASWSa5WvJdeIADA0R8UcWSltTMAHFQ7Pyze5+4CvGdAJKR6N4Fj7DwKQJ4PcQT76PrHCgBLZEsBC6UCkHop47Pt2xXqmFgSAFLN5rUCZgNA/IjeeJI/BqC3ACApwH7NQunh0p3HbqEJaJPBc9+RAJBmVefvvgKAjUpkdoTgYD1I9ztlG7wKwMojN8C5Ww9Zu/O2fIwC8PGzl5BvkI8AYMPC0GSaWgFIiolHGyQCQHSf95SkxagLsFEAuKBDGUcsyD0X/lENhwQAtbIAkxSAParkAYx1HnPo9Sza2S8CSvmhAvDg4KpQWLoA05a8/F2nBSQA1GkoWUysBVwB4P47sXVnhsSXhuPR92CJF5OA4IOo4UQxMQBJL89Ka2JcmBxp3tVtYNeHWI40iWFdz0oeH3IiASAtkDUGly+bMxV8Xb8QoGtvzOE1ALjjAjx78Uq3/bQK2g0A0tadYYP5QQOj3i8CDUs4AeD83Zegjw0VgFoAcPeASEAVFx6tZkQxJw/gcduSANC7i75P9bwwYsUJ1Ukwi/upG95QAMaHWw+eeXdAFm8dASBefx9O2cE0El4FoL8CQNLHNZNBFIV57jtYvVyuVLD19G3e0/pFvTU9wiBy9Cav9aVL5VzQq1peR/vDlx+DyRvPeu1cyoYbFmdPDIX1Sfc7Zbu8AFCUAvDh0xdQ4IuVwm2oVABiYjx8N1YemVO8A982LAxNXQAgKSYerXN6ACCG31G+q5Pa9ATP8N25VdkgyJoqkaqq3nAf8z4pDSNWnjAEAHEzuMd8tQswLwDc0TcCSg/3rQvwh5O3w85zd1T2lACQttrl7ywWkACQxVqyrDALuALA3TdjQbd59GxR2AGrAUCEFD09JCewGwCMWST44dS6fNDbNVN2+Fq4evcJcQ0l4VQAYuKO2TslACQZVeRHm7ALX3BDgQAABzoUgJfh8JV7KusZBYC8qg2eKVQqAPW6BfGcx+p1elfLC9+tdAWAaeH0jQeGYlqR7JIqcXy4/VACQE9rpmCmpDCwFjsARCXeag4XYMykucmAAhBh8bQW4l2ASR/XvNca733HDgBwdfcwqDLGfgCwQXH2sBB6AODMViWh5YxdbkuNloTBKABEpV2+DEnh3pPnQhRXrgNQxgDUAoDfNCgMH09XKwBJMfFo16EZABD78E68OIDzVSpHqrdd0gsAf21XGkaucgeAf3UpD3XGq12AtRSAIgHg9r7hUGa4Gsoq7Uxbf65zold5SEsCIgEgbbXL31ksIAEgi7VkWWEWUALA/cdOQ4v5Z+DfR891tY+7hiei73tZAXgHGk5ky/yn1XkM5utJmWQGACQFl+d1AWbJZKd8oHkEgAnjwqHB7ElAEADO2XkBntpEASjSbVfkR5uuC9MHhUa+XwTwgxKP+bsuQZ+F9osBqAUAd/WPBEzkgEfLGVHMscN4VRs801w8a3JY1Kmco6oEgNoWJAHAiOC0cPrmA+ExACUApK9kswEgBuvffIo/0623ACBtE5Nuyf9K8N537AAAV3UPg6omAUB0qZy08QzL1HCX9TcAaNQFOAYA3n30HIoMMR5zTRQAJLnE0ibNLACI/ciZJjGsVXgj/X3wqi7PrrltS8Go1SfdFIB/dikH743fqhoi6VsGC5Ded7tH5oHPItldgEUCwNevX0NQX32ZpGkA8MAXVaHIl8bXo8wCTLtqAuN3CQADY579bpRKAFhh0Hy4+FQtHffUYasBwG8aFILPFx3SHBJmhsvpZRdg0kMT48X8wBEDkCWTnZUAYMuy2WHmNu8mAcE4aJ5cy0UCQJEfbX53A3nToe8aFYb3Q7LYGgBi0GuMAXjkqloBGNU/AtImScgNAHk/2njWAgJAXPtTN5+FYcvUMe542rNrnV5V88DIVSdVw/MWAMQM0nekAtDjUkIAOKBWfviI0QWYVwEoEgBO3XQWhi47JuRSwY2WXh68GFhOwnvfkQCQbmVfuQDzzilpw0M5Sl4FoCgAiPfH4l+tphuesYRSAXj5n0dQ/tv1qhbQBXh4g0LQbHqU6v88ABDbwpA883drx2g06gKs7KTynV8vAJzTthSMJgDAJZ3LQd0frQ0AX716DTn6sQNAkguwBICMF5os7tECEgDKBeITCygBYKaOMyFu0tS6++FtAIiZ7RbuvQzfrzmlu0+eCg6tXxD6Lz5sGwDIkslO+TJQZvhauKblAuwHCkC7AUCRH21CLgQvNILq2g/eAMB5uy7C/xZqg3YvnN6UJtHl5Y/9ngFgi5+imJMHNMBsvvvYsvnyDrhY1uTwVd2Cbhn9eNuza72eVfI4lBDKAz8Wz3hBASgBIH0VFcqUDPrXyscMAFGJt+YYexZgfwWAuNEiKsM6730HIca2M9aOAbiyWxhU+96GLsCczxJ/B4C3HjyFkK/X0G8UjCVoADBLyndgaL1C0Pwn4wAQFYAIz30BAJcevAad5+6lWmdWm1DH95ZrEhASAOxbIxiGL3ffRCRteHeLzA3dIvO8Pb9eV9xtn4dDWZe4jFqQkza4Fy9fQa7+y2nFHL/nz5AUGodmgY9LZ3M8c1xjAEoAqMuMspBOC0gAqNNQsphYC/grANx2+ha0/nkXPHluPKlEjMWG1C0Ag5Yc8SkAJD00eRWALIGs9QLA2LEAzg6vxfygxuDDv0ZdFDJf/gAARSbuEPnRJvbqF9daoADAJQeuuMUAjOoXAWmTOhWAPACwfrFMDmWhGQcCwMTx48KW0/zujWb009fnQJelMWvUABADxmNGy/O3HwntXopE8eAfnWE3hJ7YQo2ZDQAxW6eRayQyX1qY1qKkw8IiFYAinyW89x07AEDMLlv9+81euwI6V84JvasFO9o3MwkI75x6CwCGj9wAZw1kAcZkG/kzJoUb959A6FDtZBC8E0kDgKjaG1q/kOO5rjxIMfFofdADAA8NrgpJEsbz2JReeKZ851926Bp0mkMHgJjsZdxadwD4R+dyUM9FAWgGANz6ebhbYhalcVhiAPJkkkYX9MF/HnEHgIOqCnFJly7AtKsmMH6XADAw5tnvRumvANBo8GCSob+okx++/Ouo5hygoi5XWu9mARYJAFkCWesFgGgcZVm9LxvWA4BlPMaWFJm4gxZ70u9uChwdGtGwMHxQ0ukC/FvURY+u9hzN+0UVdN/HjOduLsAGAWC9ohnhD5dM6t4acNEsyeHV69dw8PJdb53CFu2iYsFVeR6SLQXsvvCP8PElTxRPd9xd4Se3SIMIAPvVzAeNp7JlAeZVAIoEgFM2nRHmbi/yWcJ737EDAMQP+xpjJQCMufxpAHBGq5LQiiMJiCgAGH33icdssLy3MTMBoB4XYF8DwBypExOB7eJOZaH+hG0qM39eIxgwvqXrIVIBuOV/ld3csnkB4Npj16HNz7uZlgomg3r6/KUEgExWk4VZLSABIKvFZHkhFjAKAI9fu+8IJs97U9YahF7wxGIEjOH19VLtWDyGAWDqxLCuV6W3XSKNgQQAMV7M+PWn3YZCA3G8ALD0sLUQfY+cBdgIAPwt6hI8fv6SZUqIZc1RAJoIABsWtmVSDOXkfduwEHxYMqvjX4EGAHf2i4B0bxSA6CrEmj2U90Oc50KTAFCf1T6LyA1j14oJPUE7owSANAsB8APAtLDm2A36CVxK+C0AFPgsqVs0o1sCNz2GKpMjFWw/a20XYLsCQN5nCSnmqXIt+BoAXv33sUdXUD3rllQG47pOb+lU6mLIoQoj3GMAfl2voFsGZFJSDFofsqVKBKHZU8KCPdoxAL0FAPW6AGuNYVGnstBAJwAkhbzB52n3KuwuwCIBII8NimROBgnjxXEDgDRlIm0txPwuFYB6LWXvchIA2nt+/XZ0gQQAtbJWxUyOGQCQtGvGCwBZMtkpYaIEgAALO3oGgCIz9yIcs2NMPOVNDRPsfBTqBIDoCt7XQ7Idv70ZUjqG8B43O1wVgDv6RkD6ZE4XYB4AyPshzmPHIlmSA2bDkwpAz9brGpHb4QplxpHsnXhw9/FzM05l2XMUzpwM+tbgUQDyAUCjiS6UYEGkAlDks+S9IhndNm/1LBA7AEB0La05zn4KQN5nCSnmqRAAOGoDnL35UM+yIpZZ2rU8FMiYjAjnuBtVVFQqALUA4Ff1CrqpHwMNAJKS5mkpAEUCwM19KrtBWeW8s7gArzwSDe1n7WFaNloAkKkRD4UlABRlSWu3IwGgtefPsr0PJAD4v+rB8O0K7cyXGFMvV9okuufSVeGH8nmaAlAkAGQJZO1tAIiqvXm7rKMA/L1DGWg0abvmXIsEgLTs07oXnB8XDBQAiC7AR6+pswArAWCz6Tth8ym2+Hq8H+I8y0ECQH1W6xqeC8YRMrPrq81WKmnCuHDvyQu2SgFWGgEgPjubTN3JNHKMxcejADTq5qoEgJM3niEGy2cayJvCIp8ldYpkhL9cvDf09MkOAJAni6se28SU6VQpJ/Spbn4MQL8DgAZjAMYAwIu3H0HYd2p1Hst8aJXlBYCkpBi0/uhRAB4cXBWSeiEGII/6TTkeEgDU+p4iAUDcUOvBoQAUCQA3nLjhpuSkzRkCwHfix4EdZ+/QinL9LgEgl9lsV0kCQNtNqTUGFEgAkBbnxGoAkCWQNQLAE9H34Zvlx2D9iZseFyfN9ZhUGQHg/N2X4NEz4y7AZlw5NABIimPC269h9QtBv8X2y4qrtMfwBoWg8RsF4NydF205XgQQfxIA4Pa+4ZAh2TsOc/AAQN4PcZ71KAGgPqtpJWbSV5utlASAdHvxAkAEcWuPs7sA+ysAxPusKHV17cIZ4O+D1+jGdykhASDdZL4CgLybSVQFYMuS0GrmLreB0xRYRmMAxgDA87ceQqWRG+iGZyyhCwDWLeg2dl4AWDJ7SvjdgwuwtwDg3wevQpe5+xit819xkseM1QDg8eh7zIl/pAKQe8nIigwWkACQwViyqDgLBBIAJGV2VFrSDABImjnMGPfj+jMeX65I8QRZ4ticG14TKo/coCuDpQSAABIAst1jEHI2KeV0AbYrAMQXXlTMuCoAt30eDhmT8wNA3g9xthlylsYXWjwOyCQgHs2nFZaBx+a0OkkSxoX7UgHo0Uy4bv/HoQDkBYBGIZcSLIhUAIrcTOK975TOkdJrihjatSLqd7sqAHk3k7wGAAW5AJ+5+QAiRm0UNf1v26HFAMyS8h348r0C0HqmOnlEoAFA0oZ5n+p5YcSKE25zQspUjor6HlXzvi2rN8b7pt6VPSo/aQBa2TkuAJglOSSMG9stBqCohSgVgKIsae12JAC09vxZtvdGACAq6lBVZpUkIDS3LkyqkTudd12ARQJAljg263pWhHCdL1C8AHDB7kvw0CYKQJIbA+9FPrR+Qei/+DBvdUvUUwLAOTsv2HK8+ML794FrwgFgrcIZAF10zDgQpLwGkDEAKcbW2pTxxhwlSRAX7j+VLsCebOsAgNWDock0NhdgXgBoFHIpAeCkjWeI2TJ51pLIZwnvfceobXjGLbrOX13KQ53xW0Q3+7Y9XykAeQEgumeOXn1S0x4zeBWABgEggtqCmZLB6Rv3IXL0JuHzpUcBiADQNXvsH53LQb0ftzL1J2vKRBAaZE0F4IIOZeB9l5A5gQIA34kX22sbHhIAMl1Cti0sAaBtp9a/BxZIAJD2UWcUAAalTgzrKVmARQJAdI+oNU7fSyxvvEC9O3XoAmwlAEh6oVHOjUgAiEGkB/5hbwCIH6ZNS2VzmDDQACBmhMv0RgH48bSdsOU0WwxA3g9xnicLulLiIZOAeLYefsBP2OCuyuaxOa2OBIA0CzmVqzwAED/w13G4ABuFXN4CgJiRdICgZ0mtQhlg6SH2jQejtqHPtvdL8CRxYOmVrwAgr6qT5h3DCwAjRm2AMwaSgMQAQBQaVPveuwCQFGcwcwqnAtDqABA9Fz79ld8FeH77MvDBZHXMbK2QSiIVgBt7V4KK32m7frMoAI9duwc1xrIl/sGQKRIAstz5ZFkeC0gAyGM1WcewBYwCwOPR990CSbPclLUGoBc8sRigQ8WcgLvxWofVACCLGwuOrcoYfS9QgaAApAFA0ksMy1pTlg0EAIgfph+XdgLA2TsuCPtI5bW5N+rhCy/GzMIXSeVhGAByfojzjBEBYCzpAkw1XcdKOWGiBIBUO5lVQAJAp6VFPktqFkoPyw5FM0+hBIB0k+H9A4E1HsOXH4PJG8/SKwkowbuZRAOAP7UMcXODxe7S3vVFAUAeeKPHnEoXYBIARBfgL2oXgLa/qF2AF3cqC/UnbNNzirdlUAGIMQAX7r2sWe/AF1UBs8J7OvR+GynnBr20uhoAgPM+KQ0fTtmh6pYWABzRqDD0+f2gqizG1O3J4QK8oVclj7EfaetP2QmeNSQBINMSl4U5LSABIKfhZDVjFggkAPhJWA6Yskn7RWxV9zDIY8AFmFcBqKU2oYE4FjeWNT0qQuRofTFUaOclrThUAGJw4wcWcWWjAUDSSwzvlfZV3QIwcMkR3uqWqIcfps0CFABu+V9lyJwikWOeeBSAvB/iPAujUKZkEDuWjAFIsx1ts4hWn8B4/v8AACAASURBVOX3dxPEtcx9k2VcIsvih1ifanmhKaMLMK8CsFRQSkNxnyrnTQMzWoU6TIAg+dsVx4WYQ+SzpEbB9LD8MDsANGobIYYw2AhPDDeWU6oA4LJjMNnDeydLu7SydgWAR67e1e3tQrOR8ncaAEQF4Bd1CkC7AAeAv31SGj7yAQBEjyqMXa51sADAo1fvQc1xbArAohgDULoAs1xSsiyHBSQA5DCarGLcAoEEAFuXC4Kftp7TNJrVACCLGwvtQao0Cg8AbFEmGyzce8UyH7IklwalDUQCQHQh+eLPwAGAs3ZcsKXLs5YCcHOfypAlpRMANp22A7aevs10Y+b9EGc6yZvCEgDqs1r7sBymfbQnjh/HMrFT9VlPfCmzASDG6oo6d4d7IN4CgEPqFoBBgjaTqhdIDyuOBCYA5InhxrIYfAYAOdXk3SJzw/drTmkOkVcBiJvOp288YDGdqmyMC/Chy3e9ErNRDwAcVDs/fDJrj6pfgaYANAoAMalWr2rsSUBo3y3eBoDFsiaHBHFlDEDuC1hW1GUBCQB1mUkWEm2BQAKAqFKbue28bQAgy0ssTUovAaB6WYgEgIPr5IfBfx0Vfen6VXuoTGlWJrujT7O2n7el4rFX1Tyw9FC0mwuwUQDI+yHOswAKZkoKcWLFklmAKcajqcV5bK9VRwJAujXzpHsX6hXLRMw66ak2grj1J27ST+BSwl8BoMjNpGoF0sHKI9eZbWMHBSAPwGExlK9cgHnV5P4OAA9c+hfqMibd0DNfylidF24/dIs3hwpAEgBc1KksNGB0AUZ34tDsqXziArxk/xX47Lf9ekxCLPNru9LQeCq/C7A/AEAeFakEgNxLRlZksIAEgAzGkkXFWSCQACC6KKI6SevARBl50/NnATbbBZgFAHo7C7DtFIANC0Ofheo4JrxX3Rd18sOXNgeAqExpbnMA2LNKHlh22DMAbDJ1B2w7w6YA5P0Q51mPEgDqs1q7CkEwdbO2WlxfK/pKJYofBx5ZJHu6vhH5TyluAJg9JUSd51cAVsqbBma+cQGesOE0M7jUsqDIzaSq+dPBqqPsANAoHPWH1WEqADTRBZgXAH4WkRvGrvVfBeDei/8wAzc964wGABHaDaiVH9q7KAB5ASDGAFy094pm1w4MqgrJEomPAWgUAM5tVwqaTFVnYMcN0ZGr3DNHjyC8O/MCQNp3C4sCUAJAPVeELOMLC0gA6Aury3OCUQCIgVUxML7yYLkpa02B3kC3LFPYpFRWmLvzot8BQK2A8zRXXJaXWG/HAEQAiC829y0SA5AU1Fi5ML5tWAj+t/AQy/LSLIs7yEP+trcCEJUpLco6FYC/bD8vzE1NyAQIakQLAG7qXRmypnK6APMAQN4PcZ5hIQC8cPsR3H/ygqd6wNRpWz4Ipm0xBwC+Ey8OPH7+MmBsa+ZAeQFgyewpYNf5f7i76i0AKHIzqUr+dLA6QAEgD8BhWQwYQ/TzGm+SgJgIAHnDSdAA4PQWIW6ZcNEetHd9oy7AqRLHB3xvL5crtVsMOpb50CpLA4CoAEQA2GG22gV4Ycey0HAiWxIQhImWBYBtS0ETl/irLACwc+Wc0Lua83rAQ+/33dqeFSFilHbsctr6U8774St3ofYPW5iWjVQAMplLFua0gASAnIaT1YxZIJAA4Ecls8Bvuy5pGoxFAfj69WsI6rtM1RavApAXALK8hHg7C3DzMtlg8b4rlgELZgLAgbXzw1cSABq7UflB7R6oADx0DTDzufJQAsDGU3bA9rNsCkDeD3EekxTImBSOXFVnMeZpx+512pQPgukSAFp+mhHEbeBwAQ4EABiZLx2sORaYCkCWdyeei0AFAE3MAswbTqJrRG4Y50EB6CsAGGN7XrBJmzslADx/66FbxlltAFgGGk7cTmte9buvACAm5lu897KhsCxz2pZyS8CEG6KjVutTACoB4KNnLyD/oJW6bEcTLngbABbPmhziyxiAuuZKFuK3gASA/LaTNQ1YwAgAxB0g/Bi2igLw/RKZYcGey5rWWtGtAgSnT6rLmv4BAPW/hCDcrPb9Jl1joykPSY1YDQCSghorx/VNg0Lw+SIxCsABtfLB10uP6bK9VQuha1rLckGO7v+87bwtk55oAcCNvStBtlSJHWOXANCqK1jdb1rCKJGjxCyDT56/EtmkbOuNBXwFACvmSQM/t3ZmAf5x/Wn4buUJIXMiUk2ePmlCiL73hLlfdnABXthR/7sTs4EAwFcKQLsCQJ450FOHBgAR2vWvmQ86zN6rau73DmWg0SQ2AIgwEa8dM12A0fW3z+8H4ekLY8+X2W1KwcfT1S7AWgCQ5D3TqVJO6FPdqQBEL6x+i/W9W/sDAEwQNw7zpq6etYdlXty7BVcmtnQUv3TpEmTOnFlvVVnORhaQANBGk2mloQQSAGxQLBMs2qcdf4MFAL569Rpy9POtAnBBhzLwvs6XkGVdK0DNcZt1LU0JAAGGNygEfSUA1LVesBC6prWyOQDsHpkHlh92VwBigp3sqfkBIK8SR/fkKArmz5AUjl6TCkCa7WgJo2j1WX7HLINGP9BYzhdIZXkBYEi2FLD7Ar8LsLcAoD+oyUMNxkf0h/XHA3BY+u0rAMgbT9ZbCsAqozfCKQNZgFlszlNWma1bSwGIALDjHDUAZHn3jumXAwBiDEAP3yAiYwCeHVYT8g1aIeTZMqtNKDSbHqUyMS8AnLLpDAxbdlzXdK3pEQaRo7WFC2YoACUA1DVVspABC0gAaMB4siq/BYwAQHwAnLhuHQXge0Uywp8HrmoayygAzJ4qEWzoXflt+3rjXODL4qSNZ9z6RQNx89uXgQ8ms+1C6lkptPOS2rCaApCU1Uw5rmH1C+nepaTZFF8ghy6ztwIQlSmtyzsVgBM3nIFvV+h7waPZzp9+1wMAP5qyHXacZUseEJkvLaw5dsOUoUoAqM/MEgDqs5O/l0IQt/EkexbgEtlSwB4/BID+oCa3AwDkATgsa719xRzQt0Y+R5XhJsYA5AaA4blg3LrTmkOc1jwE2v6y2+M7KqmylQDguVsPofLIDaphILTrVzMfdHIBgDzv3noA4P5BVSB5ovgel5re74qjQ6rpdrWlrW0SAESPiNEEF2CaAnDa5rO6PWJooYvMAIBxYscyFA/Wk22lApC28gLjdwkAA2Oe/W6UgQQAaxXOAEtdEpYoJ2T5ZxUgXwZ9LsAvX72GnC4KQLMBIC2OHe9i4wGAmGEZ3Q3uWSS5AA0A1imSEf7yAItZbNuvZrDuHU+Wdv2pLALAVuWyQ68FB2HhXm03e3/qM2tfukXmhhWHo91iAK7vVQkw/icePAAwIjgtrD1uDgDE+xsmbpKHZwtgUqOft2tnjBdpP4wx9Mygi5bI/tipLV8BwLA8aeAXL7gASwAoZnXaFQDyJpTq6iUAWHXMRjh5/YGYSfNCK0oFIAkAogswglxXAMjz7m02AEySMK6wmNx4L2v+k1oByAIAMc75/964AP+05ZzupHgiAeChy3ehzni2JCC4EXT/yXOvrWEJAL1wUVuwSQkALThpduiyEQCID4CTFlIA0gIJWw0A0uLY8a7PGABIinOo1SYCQFRX3n38nPe0ptab264UNJmqjmmi7IBRBYiyrb41gmH4cvsp4pRjRNe0fBmSeLSpqRPshZNhpsSVRzwDwA8nb4ed59gUgBiHaJ0EgF6YMf4mUdH8i1kAME5sePbSWIwm/pHauyYvAMTg73sv/sttHG8BQH9Qk9tBAcij4GJZDL5SAPImlPo0PBf84AUFoB0A4OfV80HnuWoXYB4AmCm5MwYgJsvTOkQqAFnWK60sxjNt4QIA0SNizBr3JCCk+NlKAMgSI3pV9zCoOkaMCzAvALzyz2OuWKk0m+LvEgDqsZL9y0gAaP859ssRGgWA6ALsqqpjkWVrGUWvzJ3FqLTdURYA+OLlK8jVf7nq9GYrAGkqNhbbKMtKAAhgNAaU0p6482lHl1jlGFGZ8tfBa3DgEv9HM+96NasexklaRQCA63pWhBxp3nV0gwcAogphPUemUp5xB6dP4qZg5GnH7nVwQ2PWDpMUgBIAem05IYjbxOECXCxrctjnhwDQH9TkRjMke22yGRrmATgMzYMEgE5r+TsAxBihM1s5k/VouQB/XiMYuszdp5p+ns13KwPAma1KQssZu1Q2YAGAypiYs7af152RmJa8kOVb8+Dlf+G98VtZLmPHd8CRq/fg8fOXTPX0FpYAUK+l7F1OAkB7z6/fjs4IAMQHwMkb1gGAtFhbmCgjf0Z9LsAiASC+LE7eeNZtjdBccWkqNt5FFxAAsG0paDLNHAVgoADAX6MuwpmbD3mXnd/X0wKAa3tWhJxvACDG5IxiVABKAOh/U/9x6awwe8dFUzoWL04seP7ytSnnCrST+AMAHL/uFIxc5a6U4ZkLf1CT2wEA8gAclvnyFQDkTShFUwBObR4C7ThiAFoJAJ69+QDCR21UTTO67eL726e/qgEgz+a7lQEgae1jSJTv15xy+4mkAFQCwDk7L0D/xYd1XU4Yl73699rJC7UAICZpHLjkMMyNuuh4N5v0cQl49OwFFwA0kgyKNkgJAGkWCozfJQAMjHn2u1EGEgCkZQRkAYDPX76C3C4KwGypEsFGjiQgvABwTttS0NQDxOJdbDEPVVKmY6028YP5rwPXrOMCbCIA7FM9L4xYcYJ3OixRDxWAc3dehLO3bAwAw3PByiPXHYmPlIdRAEi7L4lcAFIBqM+aTUtlhTk7zQGAcWPHghevJADUNzNspXgBYNEsyWG/ATVzhdypYVabUo7OigSAqEb6xsfhJOwAAHkADsvKax+WA/rWND8JCG84iS6Vc8H49dpJQAIVAGIMwD7V3AEgz+a7HgC4b2AVSJFYTBIQlvXKU1YLAA5vUAj6LjqkalIJAHGj2PV3rfPzAsA9F+5Aw4n/JUhsUCwTtCibHer+yKYALJIluVe9WiQA5Fl59qsjAaD95tQSIzICAPEBcOrGA8u4AONL+eZTtzTnxWoAcHabUvDxdG0VG+8C5AWAfx+8Bv8+skYMQBo8FRkDsHe1vPDdSnsDQIxNhS92gQgA1/SoCLnSOl2AP5i0HaLOs8UA5I1TxnN9SwCoz2pNSmV1AG0zDgkAvWdl2jNf68xGP/y8BQD9QU0uMjyG92bec8t2BYC89uxcOSf8uP6MZvVABYCoAOxTPRi6uigA51I2kEmGRACI8PyP/Vc17WxXAKhUxM7fdQn6LDyoa6nyAsCGE7e5ZXFf0rkcMwDE5G7oGu6tQwJAb1nWWu1KAGit+bJNbwMJAJbLlQq2nr6tOXdLu5aHAhmT6ZpbzNqYZ4A6BqDZCsBZbUKh2XR1Zi5dnfdQCB94mNUUD1KmY62qqADEWJD/2AQAivzICQQAiLGpfou6ZGsAqLX21/QIg1xpk3ADQF6VEs+1LgGgPqs1Ds0Cv0Zd0lfYYKk4sWM57rXyEG8BfwCAP6w9BaNWi3EBlgBQzBrhUXCxnNlXCkCWPirLegsAVhuzyU0xz9tHb9RTxgA8c/MBRBBcgPH97bPf9qtOT9tADgQAiEnRxq51dwEmKQCVAHDB7kvQ+3d9ABDjstcYy+4C3GjiNnB13eUBgCkTx4c7D595Y+k52pQA0GumtVTDEgBaarrs01kjABAfAKdvuisAzw2vCbFixTJkJG8kASmdIyXsOKutzvEZAAzLAZM3sccA/KV1KDR3ycxlyOjgTH7xe8eytgeANPWkSAVgr6p5hMWAMjq/3qovASA/AOSFFDxzmTddEr/+IOMZkzfqfFQyC/y2SwJAb9jWzDZ5r60imZPBgct3ubuqVACKBID+EE5C5OYYt4ENVuRRcLGcUgJAp7X8HQCi+h4z3OJBAoDoAtyrqjsApL0/SgCodgFWXg+L9l6GHvMP6Lqc0Cur5jh2AEjyxPijczmox+gC7O3NOQkAdS0D2xeSAND2U+yfAwwkABiaPaVH9zyrAUB8cWnhJwAQY2YtO2QdBSBNPSkSAPaokgdGC1KA+OddBACD08/bFZgKwNXdwyB3OicAfH/SNth1/h+maeKFFEwneVNYAkB9VvswJAvM220OAIwdC0AKAPXNC2sp3murcOZkcNAPAaA/qMntAAB5FFwsa89uAHBKsxLwyaw9biagZWGVAPA/k+lxAd47sAqg6szT4Q1xBMvajimLSdHGERSAw+oXgn6LtQHgkv1X3BSVWufHb7Ja47Zodk9r/ZGSsfEAQB67sNSRAJDFWvYtKwGgfefWr0dmBADiA+AMxgA8dE01Rn9VANIm4u9Py0PBTPpcgJ++eAl5B6xQNcntAsypAJzRqiS0mrGLNiym35UKQFKmY63G7AYARX7kYLbsMWvEuIAxTaaJhTE4PcZ2sXMMQC1zGgWA5XOlhi2ntWOTipzGPOnehZPXH4hs0pZtfRCSGebvvmzK2FAs/1p6AHvF1v4AAPEjWdQGkD8AQJGbY16ZdB2N8ii4dDT7tsgnYTmg35skIMOWHYMpBA8Plva8XbZTpZwwYYN2DEBeAFj9+01wPFqdNMvbY2FpX6kAPH3jAUSOVmcBRgVgzyp5ods8tQswbQOZ1AcEgCHZU8ASDzEAAwEA/nngqltMRdEA8KMp2928vRZ3Kgv1J2xjWR5eLysBoNdNbIkTSABo0jTt3bsXVqxYAZs3b4bDhw/DjRs3IF68eJAxY0YoW7YstGnTBipUqKC7N9jWlClTICoqCm7evAlp0qSB0NBQ+OSTT6B69eq62nnx4gVMnz4d5syZA8eOHYMHDx5ApkyZIDIyErp27Qr58+fX1Q5PIUMAMDwXnLn5UALAN4Y3HQC2LAmtZvoPAFx+ONqr8TJ41rdWHZr7tMiPHK1saSLH4+u2MDbVgj2X4OxN7wVM9vUYtc6/qnsY5HmjACTFnqH1mxablFaf5XcJAPVZ6/0SmWHBHgkA9VnLf0v5CgAi1J/d1pkFWCQADIRwEmasJh6Aw9IvqwHAjpVywkQJAIkAED04us9Tu6zS3h9JayVjsoRQMiil7QEgKRO18nr4++BV6DJ3n67LCUUZtX9gVwA2nrIDtp9Vx3uXAFCXyWUhH1hAAkATjF6xYkXYtGkT9UzNmjWDadOmQfz42lLs169fQ4cOHRzwT+tACDhp0iSP8fBu374NtWrVgp07ydlcEyRIABMmTIDWrVtT+81TwBsA8OywmhAb/ZoMHL6QubMoAJ88fwnBA8UoAPHhSNohVsrbSfb4qWUItJ6524CV3asi+Fr4JgYgqwJQAkDyVGgFSxY6cT5uLJAB4MpuYZA3vdMFmAcAls2ZCrad0U5OJHJqc6d915G5XR6eLdCoRGb43SQAKOfCexbgVdcWypQMDl3hjwHoLQDYs0oeYQlFvGd1/2/ZTAA4fNkxYoxnf7KSBIAAWgpAEgDkCb9jOwAYngvGrTutaxkrAeDyQ9eg45y9uurRAOCPTYpDsnfiQfncqVXtNZm6w+2dalGnstBAKgB12V0WMtcCEgCaYO9cuXLBmTNnHGq/999/36H0y5o1K7x8+RK2b98Oo0aNgitXrjh60rhxY5g7d65mr/r37w/Dhg1z/F6sWDHo06cP5MyZ09H+iBEjYN8+5w4Hlvv666+J7eB5w8PD30LJBg0aQLt27SBlypQOIIj1UKEYJ04cWLp0KVSrVk24lYwAwE/DczkUP64uwIEKALOmTASb+lR+O0d6ISYvAJzeIgTa/Ow9APj85SvI3V+d6VhrATYplRVWHo6G217MmCVy8dNe4ES6AGvFShE5Hl+3hcHpEZgEogJQCQAbTtwGey6wxQAskyOV2261t+ZTAkB9lm1QPBMs2ut8F5CHdS3ACwALZkoKh6/c4x64EgCOXXNKWAiIQIgny210hoo8Ci6G5sFuCsDJzUpAe44YgP7uAhyWJw3gWsCDBAAzp3gH8JpzTVoxs1VJaMkYfgcBYEj2lIAusFqHpVyAGQBguwpB0L+W05Nt5ZFo4loi2YQGAGPq4CZ79yp5AEMz/bztPAxbdtytOQkAWe5gsqyZFpAA0ARr165dG5o3bw4NGzZ0QDXX49atW1CuXDk4edIZrwvVgiR34NOnT0O+fPkAXXdDQkIc5d555523zT169AhQbbh7926IGzcuHD9+3AEHXY+ZM2dCq1atHP/u1KkT/Pjjj6oieJ4SJUrAvXv3IHfu3HD06FFHeyIPCQD/s6ZRBaDZAHBa8xBo+4tYAFg8a3JY1Kkc7Dp/BxbsvqQ7DpbdAKBIF+CuDC9KIq9tM9vC2FQL9wYmAFzRrQIEp0/qMDcPAKRlJxc5j7nSvuv40JGHZws0KJYJFu2TANDq68RXABDd+ue0Le0wn0gAGAjxZM1Yc7QNQKN9UAIPK8QA7FAxJ0zaqB0D0O4AEJ+JmLgi6twd1dQjAMRrrucCtQswT/xtPQBwz4BISPVuAo/LT6+wwOgaptVHAcgPOhWAyuthzdHrur9b/upSHuqM13YBVvYRPaa6zN0Lfx9Ux6SPKSMBIG1G5e++soAEgL6yvMt5//77b6hTp47jvxh/b+zYsW4969y5s8MtFw9UDpYu7XzRUx47duyAMmXKOP7VpUsX+OGHH9zKFChQwAH1UqRIAQjiEiVK5Fbmm2++gb59+zr+//vvvzvgpcjDCADsUjkXnL31AJYdilZ1SSoAnebQ+6DmVQBqBWY2sj4QAI7+oCiEj9rAlJnSagCQtoMrEgCyvCgZmTtf1kUAuGjvZUdM0EA7ln9WAfJlkADQTvNev1gmWCwBoOWnlBcAFsiYFI5c5VcAegsABkI8WTMWHe35b7QPVgOA7SvmgMkbz2oO284AcGrzEhA6dC3cffzcbfyYBKRbBAEAcsTfzoAxACkKwEAAgOuOX9cduogVAHr65sLQRrhB60+HTALiT7Phu75IAOg726vOjAk4kiRxxnPC2HwIBJUHxv7LkiWLw1U4ODjYkbRD68DfT5w4AZkzZ4aLFy+qYgGeOnUK8uTJ46iKsQQnTpxIbCY6OhoyZMjg+K1JkyaORCEiD28AwDPDakIcm8cAfPzsJeQbpI4ByKsAxJfFqZvPuU0rLQag1kuZkfWBADBj8nc0d9G02m4cmhVWHbGOCzDtA0AkAERQPn69vlgpRubOl3UlAHQCwAYTtsLei/8yTUWpoJSw00V5wNQAQ2GpANRnrHpFM8IfHrI16mtFlvK1BXgT7OTPkBSOXvM/ABgI8WTNWDO057/RPkgA6LSgFVyAaxfKAH0WHiROOQLAzyLyQC8XBSBP/G27AUCW99q25YNgQG2nC/D6EzeglU736T+7lIP3xm/VdTni95IEgLpMJQv5mQUkAPSTCblz5w6kSpXK0RtUAv7555+qnp09e/atO2/79u0dST60Dvw9JkkI1gsKCnpb9KeffnJkHMbj119/hY8++kiznbx58zrckjFe4YULF4RayggA7Fw5J5y79dBNAagXAEbffQL3nzwH/CiNFUudNESvek6kMXC3qVDmZLqa9AcAOOnjEtBh9h5d/dVbCAHgP4+eO+aV5bAaAKS5cIgEgHid/Lhe272Gxc7+WhazU6JiKhAVgMu6VoD8GfkBYGhQSjfXI2/Nc840iQNyjljtWbdoRo/ZGlnbk+V9YwF/AIDfrzkJ3685JcQAgRBPVoihKI3Qnv9G+yABoNOC/g4AMUt48awpYOxa8vWJALBreG7o/bsaEPICQIwB+JeHGIBWUgDyAsCNJ29Ci5+idF1iSzqXg7o/6gOA54bXhKC+yzTbXdixDDScuF3Xec0qJBWAZlnav88jAaCfzM/ixYsBk3Hg0bt3b0dCD+WByTgwliAeY8aMgW7dumn2HH/v0aOH43esV7Nmzbdlse2RI0c6/saEIUWLFtVsp27dug4QiZDs/v37kDhxYmHW8hUAxFTwPeYdgGcvX0GtwhkAszkpD38HgI+evYD8g1aq+my2AnDSx8Whw2x92bT0LphiWZPD3UfP4awEgMzJHLRs3KlSTpiwwd4AELNTLjlwNSDjyykBYP0JW2EfowIwNHtKiDqvjj2k93plLScBoD6LvVcko8dg7fpakaV8bQFeAIgu/ccMKAAxs/fcds7QMEIBYADEkzVjzfAAHJZ+2Q0Aam02K71USPapMXazoeuIxeY8ZREA4mavFqBHAPhpeG7o4wIAeRLwoQKQBgB3D4iE1BaJAcgCANuUD4KBbxSAW07dgo+n79Q1XSwAEENP5egnAaAuw8pCfmUBCQD9YDpevXrliNsXFeXcndi1a5cjyYfyQMVfx44dHf9asGABNGrUSLPnGLMPsw3jgfVQERhzoOJv3rx5jj9v3rwJqVOr05grG8UYgjEJQjChCCoC9R4I+Dwd165dg9BQZxasTB1nQtyk6n54yoaIYAOVYssPq2MA6lEA5hu4Ah4/f/m2a390LgdFsyR/+7cEgAA0F+CJTYtDxzleAICPnzNnc7WcApASw0WkArBjpZww0eYAEDPlYXa7QEwwsbRreSiQ0akc5gGAJbOngF3n2TIH673/u5bLkSYx87XNey4r16tTJKNHpYaVxxZIfUcQt+3MbeYh+ysADIR4ssyTxVHB2wBQ6fJohSQg7cNywORN2jEA7QwAQ7Kl1MzSrQUAeRLw2Q0Asni2KAHgtjO3oMlUfQAQvwvr6VQA4ndnTg8A8PcOZaDRJKkA5LhdyipetoAEgF42sJ7mR40aBb169XJ+yNWvD4sWLXKr9t1330GfPn0c/1++fDlUr15ds2n8PUb1h2q/nj17vi2L8QWXLXPuVjx+/BgSJkyo2c7//ve/t0pEzCyMmYH1Hq6utZ7qkQDg4S+rwfh1p+H2g6dw6MpdOB59/20TWgDw9NAaEDdObI9ddAV8mIXs8xrBPgWAGG+icOb/IKSnATx8+gIKfCFGAYgvi9O2sMcAnNC0OHQSDAARwj54+oIZ5DQOzQKrG/cL0wAAIABJREFUjlyH2w+f6V2aPi03w0QASMuw51NDCDp5IANAZfZwfFndf4ktBmBIthSw+4IEgIKWopBmahfOwBwHVciJZSNCLcALAIPTJ1G967B2SqkAHLP6pKaLIWu7EgCyWoxcnkfBxXJmqwFArUR0MWO2MwDExByjV58kTq8DAFbO7RYjcGrzEGj3y26WJQHpkyaEkkGeXYCtpAD0NwB4amgNyN1/ueacSADItFxlYRMtIAGgicYmnWrjxo0QGRkJL168gLRp08LBgwchXbp0bkW/+uorGDRokOP/a9euhfDwcM2er1u3DiL+z955x9d0/nH8K0tkIdMWiUiEiBCR2MQuVXTpUKpFaY1q/Wxqj7ZKtSgtOsxatfcIEjEjVog9Q+wV+/f6nrhx7r3n3HueM+4959znvF79o+4zvs/neW7uOe/zHYmJzOfYb9CgQXlt8d/xc7yeP38OTk78wAznw/54JSUlQa1atQSrJRUAsr3Qes4/YJQXCT2bzt0wzwEoBgDiG8j+zcvnrcseHoBSASDeLCT1fX0ehK5BLACc8kEMfDn3gOCzIKRhdMlC8PDxMzh57b6Q5nlttAYArXkAyOkBaK3CHpHQKm3cu2E5WHHIMT0ApQJAOc+ateMR4u9JHN5vbUw9fo5pKVYduqLHpTnUmuwFABNC/GBe59wQYDkBIEnYnUNtNOFixXhwkUxBAWCuWs0nJUkqpkOiuZi2GAKMKTh+sAAA8Tv3v8XpRsP/9nFV6PwXWf5tBICxwYUtvljSEgAkSW3ToUYwDHuzAqMhiQfg0m41oPWvwir3nhjZDMoN4geAi7omwDvUA1DM14T2UVgBCgAVFtjS8EeOHIHatWvDrVu3IH/+/LBu3TqoW7cuZxeteQBKDQFmA8Be8w8YVUZEAHiWIwRYDADEN5ADNAQA0UuuookHoK0B4M/tYuCrefIDwEdPnsGJLMcGgHJ6ZVl7u27HP32yTd2rYRhzY+uIIcBsAIgJq9MIPQCx8A5p5WDZNo4OxKnAG1FFYVU6BYBaPx4I4pJPk4cAS/UAVAoAknjdaH3vlLRfjAcXiT36A4Dc+ab1kAOwehlf+H49vwdg93plod8SCgBNzz8JAPw4vjSMeKsiMQBc0q0GtBEIADNGNoXwQWt5v6YUAJL8BaNtbakABYC2VJs115kzZxiPusuXL4OzszOT1w/Df/kureUAtCartSIglgAghjaiB6BpDkB0xXYlDAFGO1vHFAf0JCrl52GxnLu1NYn9HBPOogeckEsNAHByuxjooQAAzHnyHDKyXod6C9FDax6A1kKAxHqOcGnlCACwZ2IYA0wcEQCyq4dTACjkr4X62zSPKmJW3V79VlMLTRUQCwDDg7yJfwPZc7MBIIYXTuapMkq6YyQP3aRjO1J7pQEgavlpzTLQv3kETFiXAb9ZyK+nBt2xaMmMJPM0NAbb+ArO6QEAxof4MXvEdeFLfS4AOP3jqtBFAQ/APQMbQoB3fotHQmhkkdLniiS3NT4fjGlTiTFpV2Y2fDBTWA7AxV/UgLZThXkAHh/RFCIGUwCo9L7T8eVXgAJA+TW1OiJCP/T8O336NFNhd/bs2dC+fXuL/VauXAktW7Zk2kipAoy5BjHnIF5qrgLM/oHvveAgLD1wKU8fuQEgDlw20As29K5jsZy71Y0V2YAEAN7LeQpRw9YbzSTWAxAT5P4uIgfgpPcrQ8/5B0WulrtbdImC8PjZC+L8R+9XKwkbjmonB6C1ECBLxW9IBbd2c006nhrbIwBcnX6FOHRcjWshtUkqAMTK26SVg0ltpO3JFGhaoQisPWJc3IpsBNpaDQrYCwDGh/jC/M4JjARyAkCSh2416K9WG8SEcIpZC96jHbl8V/UAkC8NjWHNYgGgFkKALQHAEoULQPf6ZaG/iQcgX05ES2ckyCc/UwXYUmoJvQLAt6uWgO/fiWbksRcAXNglAd6drmwRkKjiBZlc+UKvZ3ez4dLUDkzzCxcuQIkSJYR2pe10pAAFgDbezOzsbCbM9+jRo8zMU6ZMge7du1u1AmFhaGgo0w6r+qJHIN+Fn//222/Mx9ivTJkyeU3/+OMP6NSpE/P/8+bNA6wKzHdh1d8TJ05AqVKl4Ny5c1ZtJGlA4gFoCgAxt9m57IdmD0piPQANdiMAbDRxO8kyZGlLASBApRIF4enzl3Dsyl0iTXUHAGOKwxIW7CYSw6QxH+CVMqba+vZIDIM1DgoA2blDW03ZAWkXhd8A4j5i4R3SwiFq23+92dOkQhCsO5Klt2U53HoQxKWcvkm87nJBXsRpMNiTKAUAHaGgFPFmieggxoNLxDRMFy28AHRkAJgQ6gfj13J7ACIA7FavLAxYahwCzAdELZ0RRwaAGN018b3KjDxkADAB2k4VBu2ODW8K5YfwewDaAgCS3stRACj2r6q++lEAaMP9vHPnDlO8Y//+/cysY8eOBay0K+R6+fIlQ+nRezAiIgKOHTvG2618+fJw/PhxKF68OEP32QU5EOgh2MOra9euMHXqVM5xrl69CkWLFmU+a9euHcydO1eImYLbWAKA+fIBnBnzRt5YXy84aARFlAKAJIlfBS9UQEMsOY9/wIVcd3OeQiUTD0C8WdjxP/IiIGI9ACe+Fw29F6QJMVdwG3yD9fzFS+LEzQgANx7Lguz72qgCbC0EqI2MABBDgf7YyR9eI3hzVNywR4OyzIsA0tyRKl6SYNPYLw7EAEBMO0CaN1CwcbShKAUaRwbB+qMUAIoST0WdVAEA12fA5M2ZsqjiCAWlZBHKyiBiPLjE2qUHADj1wyrwxT+5z0vsy1oIsBY8AGuE+sO4tcc5t5cPAPLpYemMyAEA8fmzTP/VYo+irP1IXka0qFQUpnxQBZYduARD/zsCdx49FWTLvM/jod2MFEFtjw5vApFD1vG2XdA5Ht77TdhYgibkaFQtuDDsOXtLcHcKAAVLpeuGFADaaHsfPnwIjRs3hp07dzIzDhw4EEaOHEk0e7du3fKAXXJyMsTH51Z7Y18pKSmQkJAbAoLtf/nlF7M2kZGRDED09fVlAKGHh4dZG4ST/fv3Z/594cKF8M477xDZaq2xJQDo5uwEJ0Y1yxvCDADWCYFzN8w9ALEak5sLf1VjHNBSHovFXwh/62NtfSSfaw0A/vhuNHy9UF4AWLG4D7x8CUzYCsmlNQ9AawAQ31iyw91JtDBt27FmMMzaeVbKEKrvSwFg7ouDN6fsgEOEHoAYdk/qNaj6A6FxAxtFBjEpDeilbQXEAsCwQC9J6QywsMCCLq9CgOUEgHVCYLrK88lp4cSI8eASuy4t5AC2FqUgFgC+MTmJ+F5SrM5i+tUq6w9YCXjMGm4AWLxQAehWPxQGLj1sNPyvH1aBbhxA1JINjgwAm1UsAp/WKkNchdfafTpb7yPfNYEKJoUZ2Z/bAgDi3/3dZ4R7nFMAKOZbq78+FADaYE+fPHnC5O9bvz43d1vPnj3hp59+Ip4ZvfcqVKgAz549g9jYWNi+fTsUKFAgb5xHjx5BnTp1YO/eveDi4sKEGYeFhZnNww4DxvBjDENmX6dOnYIqVarA3bt3mbBj9CbE8eS8LAFADzdnODq8ad50Xy88CEv2v84B2EUhAGiLP9RcGpIAQHyDFf2dcQ5AsR6AfB5iZ8Y0z/Ma5QKmP7wTDX0WyQ8AUZvDl8gA4HuxuR6ANx5owwPQWg6gVpWLwfKDl2X5qnWoEQyzd+kbAH7VoCysc1APQPbfDTEAEMPuSaGhLAeTDsKrQMPyQczfM3ppWwHSBzLDajEXsZSCRkoBQC3AJC2cGDEAR+y6tOAB6MgAsE45fxi9mh8AYt7NQcuMAeAvH1SB7nPNPSItnZFA7/xQDXMAWqgunzowEQK93XmHUZMHIIk3Mv6eppy+AVg8keQicXJIH9bYLC87e675nePhfYU9AGuW9YNdp24wThRCLgoAhaik/zYUANpgj9u2bQtLlixhZsIQYIR/7LBcUxPc3NygXLlynJahVx565+EVExPDhBAjpENoN27cOKawB17YbvTo0ZxjPH/+nMlDaPBGRPs+//xzKFy4MKSmpsKIESPg2rVr4OTkBFh8pFmz1954csllCQD6uLvAoWFN8qYyBYB4M4pVgE1zJUn1AJz7eXX4YIawKlFy6YDjYOhxTKnCgoZUAwDEpLrfyAwAKxTzAad8+YgS2aJgCAA3HddOCLA1APhmdDH4L40CQEFfBgD4sn5ZWH/UMUOA2QCw5c87iL87FAAKPWW2a9ewfCBsPHbNdhPSmRRRQA0A8If1GfCzTCHAiojkgINO+SAGvpybe4+u9KUFAGgtTYlYD8AWPycRv0xWej/Y46MHoDUA2LVeKAymANBsW0gAYL3wANiacZ14a4e1jIRhK3Lz9Fu7Dg1rbJaWid3HFgAQvUl3ZmbDCwoArW0X/ZylAAWANjgOlmAf1/SlS5eGs2e5PXdevHjBwDr04uO7sMgHFgFBgMd3YTGS5s2bw549ezibIIREz0CcS4nLEgD09XSD/YMb5U3bZ2EaLN5/Me//8cYGQ4BNcyVJBYB/d6oOH/1OAaA1D8AJb1eCb/89JOuxiCzqA67O+YhDErUGAK0lAZcTAH6SUBrmJMtbvEfWTZdhsO71Q5mQSUfMAch+cSAGAJJWjpNhu+gQVAGHUEAsAAwN8IRT1x+I1ojtAUgBoGgZFes4uV0M9JhnGwCoBa9NRwaACKdGruLO5Y4hwFwAUAxAlsMD8MWLlxAyQB05ADECTGg6AgRjSSezib/PfRqVgx82nBDUL21oY7OoLFsDwPrhAbDtxHUKAAXtGG1kUIACQBucBTkBoMHc1atXM5APAR7CPH9/f6hWrRpTIVioxx6GEs+YMYMp8IE5AR88eADFihWDxMREJkwZw42VuiwBQPzBSh3YMG9q9Db7d591AJgxsinkd3G2aLKlHIBzPo2DT/5IVWrJvOMSeQA+fArRw20TAoxFOUI5fvTHt60EfRfLCwDLF/Vh8jeSFiXQGwBsGV0MVsjkAdg+oTT86QAAcOPRa5CRdc/m31t7T7ikWw2o8spzWAwAxLybpCH39l4znZ8qoAUF4sr4QipBTibDmqQCQJwXq07iRQGg+k7KpPcrQ8/5B21imB48APlCpq0VAVG7ByCGbNYPD7QMAOuGwODlR4zOys/tYuArQoDsyABQbC5Wku9O2pDGZs9k7E0jKSgi9g8DRg5sybjOFFIUctEQYCEq6b8NBYD632NVrtASACxW0B129U/kBYCf1SoD52+aewBKBYCzOlSDjrO5PSKVFJH9IG9tnjsyAkC+IhGnRzcHJ6d88ODxM87ktuPaRsH/FqdbM5Xo84gi3uDu6gwHL9wm6vdubAnYfPyaZqoAW6sC+EalorDq0BUiDRy5cbd6obDpGAWAYh54MOyetOiOI581unaqgFAFxALAkABPOC3BA5ANAL9flwFTtshTBVjoumk7ywpMfC8aei+QN38y34wkEMNe+2atUJmeAWCDiCAYsZI7zBQ9ADHUdYgJABTjQYoAMDa4MKxOv8q7zakDEiHQhz8HoFY9AEmr4xoEQseCBXsvCPpaHBzSCCoP38Db1hYAsEmFIAYAPnn2QpDNFAAKkkn3jSgA1P0Wq3OBlgBgKV8P2N63fp7h3y5Kg0UsD0ClAODM9rHw2Z97bS4YCQC8/fCJ2Y+N2CIg1gDgjfuPoerIjWZ6jG0TBf2WUAAo5qBYBYBRRS0maxYzp577YKLszQ4KABd/UQOqls7NHSoGAGLY/dErZEV39HyW6NqoAnIpQAGgXErqaxwlCqjpGQDyAS89eABaA4AYwj30P2MPQDEepAFMERDLADC5fwMoWvB1QUnTM8UXDWSPbydJaHvlkoWInQpwTc2jilgEpux1HxjcCGJG8ANAW+SWR3sx1PlejrBiJxQA2uPkqm9OCgDVtycOYZElAIhvwTf3qccLALFyGHoAYu4v9iXVA9AanFFqY6QCQHxbuLNfgzzzLIU5s9dgDQBevPUQao3bYrbs0a2jYMBSCgDFnIdpH1WBrn/zV3F7gwJAIlm71g2FLccd0wNw8RcJULW0L6PXG5OTiL35MOz+GAWAROeNNqYKCFFANAD094TT2eJzAMYF+8LCrrkhwNQDUMhO2baNEgXUtAwAO9QIhtm7uPOd47owwmPh3tfpfwxr1QMATIwIguE8HoAYBdWlbqjNAGBS3/pQ0teD98ugVQAoNs0JSe5AzFdfxc4AEFMHYbXj6/ceC/qDRgGgIJl034gCQN1vsToXaAkAlgvygvW96+YZ3vffNKObAD4AeHxEUyaM1NJlCY6Jya8hh7psTx5r49168MTsbZPcAPDU6Obg7JQPMq/dg4Y/brcJAAwP8oYCbo4QAmwZAJK8ebR2VhzhcwSAWzOuwfGrjpcDUCoAxLB7R9TNEb4XdI32VQBBXOrZm8RGlPH3hDMyAcAJ647DL1tOEdtAOyingBL5k7UMAK0VKuNLiWINAIrJiavcrpuPjDkALXkAIgBETzfTSrRKeQBu7lMXQgK8NAEASULbxd7jRJcoKLgg4b5BDTkjpQxizv2sOnwwU9nikq1jisPeczfhws1Hgo4xBYCCZNJ9IwoAdb/F6lygJQCIf7TX9qrDCwCxctiFW+YegFIBoC3fzrJ3xV4AkO/tqwEApl+8Ay2n7DA7QKNaV4SBSw/LerAQ+nrmd4ED58lyAL5TtQRsydBODsCpH1aBL/7h9wBsVrEIrDnMn6tFVtF1MBjmydmWcd0hQda/XRMgNjjXA7D5pCTicF6xN8c6ODZ0CVQBRRWgAFBReTU7uBLpU7QMAD+KLwV/p5zn3U+9AsAaoX6QWJ4/ByACwM/rhMB3K4xzBP70XmXotYCsiAyGAMeWLmzxvnJ97zpQLsibdx+ePX8BZQeuUcX3jgQAlg30gsxr94ntJnkRs3dQQ4jlSJVkmPSfz6rDhwoDwLZVSkDaxduC10oBIPGR0GUHCgB1ua3qX5QlAIihaWt61s5bxP/+PWSUkBUBIIYAbzxmHAJsDQC+fPkSyvTnL2WvBNgSshMkAPDmgydm7uZiPQCtAUCsYvju9GSzJYx4qyIMXiYvAAwL9AIvdwoAMZnvuiPG51rIGXLUNl3qhMC2ExQAUgDoqN8Aum41KiAWAAb7ecDZGw9FLwlzfS3qWoPpTz0ARcuoWMcxbaKgv8z5k/mMxVzZM3ecUWwtcgz8QfVSMHe3YwLAhuX5Q4BRWz9PN7jx4ImRzGKKyPh75eYAtPRieVWPWlChWEFNAEBbnGt/LzfBhQVTByZC3KhNvNr93ak6fPS7sh6AWLTkyJU7cPiSsJzOFADK8ddL+2NQAKj9PdTkCqQAQMxdh67OpADQWh6LIS0ieXNyKCkyO5TP2jy2BIAIVj75I9UcALaqAINNqpNZs9va5/imztsBACBfVTuDPhQAWjspxp9jmMx2BwWAi7omQLVXHoDNJiUR5/PDsPuMLMcLnSY7YbQ1VYBcAbHVJ0v7ecA5mQDg+LXH4detNASYfPeU62HLl8yYKud3lQPAdnGlYF4qPwBsUakorDx0xWxDrIUAvzllBxy6eEe5jZQ4sjUPQL7hf3w3Gr5eSFZFWggAXN69JkSXLEQB4CsF3FycBFfUxQrKcaP5AeCcT+M4n6MkHiGj7vg9Opl1D/aeuyVoWAoABcmk+0YUAOp+i9W5QBIA2G/xIZi/53VJdlIAiCXs5ySfheRTN2C9SeEQtjp9m4bD+LUZNheMBAByVeaV2wMwc1QzcHF2grWHr0LXv/eZ6fHdmxXMkhNLFS00wBN8CrgShwC/XbUEkwMu+77xm1Kp9ijV/5cPqkD3ufwhwI0jgyyeUaXs0uq4jgwAF3ZJACw2gJcYAIhh9yeyyMNjtHpWqN1UAVspQAGgrZTW1jxKRE/wKYCRMn/sVLcH4PvVShrd25uuRWwIsF4BoJgq0ggAMQR47RH+1DLWnkGePn8BYSoJAbaFByDJX5WU/okQP4YfAM7qUA06zt5DMiRx24/jSzO5Y3dkZgvqSwGgIJl034gCQN1vsToXKAUAYujqxVvCPQCXHrgIvRdYf2vWMzEMJm06aXPBrP34sg2SEwDyJWA2AMBlBy5x5hsZ1jLSLDmxVNEoAMxVsFFkkFl1a6na6rk/5oNJOpntkDkA2QCw6U/biTXAsPuTIvLj6Pk80bVRBeRQgAJAOVTU3xjDW1WAITJHT/CpZK3CrhrUxRzOi/aZV/k12KZnAGgtBJhrf8TkKRcCAOd3jof4ED/OI3Hk8h3IuHqP2PNQqfOlNs/W5P4NIGHMZt7lzmwfC5/9uVcpOZhxc5+JMS3WNUHzUAAoSCbdN6IAUPdbrM4FkgDA/ksOwbzU1x6AfH/s+HIAWqr8y1YHK4pO22b7kBl2Mn9ru5V9/7FZwlmxHoDtE0rDn8nnzKY0AEAMzeDKVzO0ZaRZcmJrdlv7PCTAEwoVcIX9hEVArI2rts+nfBADX849wGsW3hSahrarbQ1qsgffBuNbT0esZrugczxUf3XTLgYAik2Qrab9p7ZQBdSoAHrcCA3HYttfyteDyW8s9sJ5//0iNwfguLXHYSoNARYrpSL9lIie4DPUWoVdRRZIOCgWL1i8nx8A6jUEOCHEDxpG8hcB4ZNxwtuV4Nt/DxGpjPnsYkv7WvQAxDx1tcL8zcbdcDSLiQLC9ElqudQGAHf2awA1x/IDwOkfV4Uuf5lHUsmpJ2py9U4OrEo3D5fnmocCQDnV1+5YFABqd+80bbklABhZ1AdWs4qACAWAx4Y3hQJuzma6CAWA9npjqjYAeHJUM3B1doJZO89wgj4lciWG+HtCIQ8KABuWDxT8Fk/TfwBkMh5vfHaczHbIXHbst/ZNJm4n1gC9bk9dfyDTTtBhqAJUAYMCYgFgSd8CTH5jsRcFgGKVs00/JV6e8lmOYYF/pZi/4LXNSoXN0iamOCw5cIm3MQWAxtKMf7sS9FUAAM7qWA3qhwea7UPU0HVw7/EzYZtpo1ZqC23f8b/6UGvcFt7VT/2wCnzxD3/aHzlkw2J41+8/hiX7+b9L7HkoAJRDde2PQQGg9vdQkysgA4DpRomC+TwApQJAawmJlRKaBABev/cYqo3aaGSK3B6ABgD469ZMzpyIg1tEwoiVR2WVo4y/JxR2AAD4c7sY+GoevwdgYkQgbDouzI1f1g3Q6GAUAOaG7VAAqNEDTM3WpQIUAOpyWyUvSol7Jz6jPqxeCv6xUGFX8mJkGKB1THFYSgGgYCXFAsCqpQvDuiNZvPPMaB/LpJ8xvYQ6TwhegAwN1QYAk/rWh9rj+QGgtagfGSSBL+qFwp1HTy1W1KYAUA6l9TUGBYD62k/NrMYSAKxQzAdW9aidtxYMQ2VXCsPQBswBaApKpALANlWKC36DIqfQ7Gqe1saVEwDy3SAaAOCP6zNg8uZMM5MGvVEeRq46Zs1Uos+D/TzA19NN9yHAk96vDD3nH+TVpkFEIGymAFDw2cGbwR2Z1x2ymMW8z+MhITQXADaeuI1YAwy7P009AAWfNdqQKiBUAXzg3iewIiN7zBKFCzD3NmIvnHfxqxDgsWuO2yWliVjbHaGfEvdOfLp9UL2UYCBgL+1bVS4Gyw9e5p1erAdgqyk7IE3FVYDFhgCPb1sJ+i4mDwG2BgCnfVQFmlYsqgkAiEUgZ+08a68jazbvtm/rQd0JW3ntsXbPL8dCvmpQFh48fi646A/1AJRDde2PQQGg9vdQkysgAYADlqYb3cgoBQD5bjaUFpgEAF67lwNxo4wrTon1AHwvtiQs2Ps6t6JhnQYAOGrVUZiRZF5FbmDz8jBqNQWAYs6FtZuB+uEBsCXjupihHbIP3gxiCLAjFrNgA8BGP24j1gDD7k9n0xBgh/zi0EUrqoBYAIi/5ZduUwCo6ObYcfABzSNg9OrjNrGgXVxJo9zZNpmUcBJr99x6BYDxIb7QKLIIcSTNuLZR8L/F6UQqYw5AawAQI1NaRhejAJBI2dzGW76pB/W/5weAE9+LFlSEUsTUeV2wgOWT5y8E53ylAFCK2vrpSwGgfvZSUyuxBAArFveBlV+99gA0BYBYvOIShwfg0eFNwMPNRfSPWNMKRSwmylVKYHsBQD6PR0MxlUHL0uHvlPNmy7blTaxSmttrXGs3A/XCA2ArBYCCt8eRAeDcz6tDjdDcxN0Nf9wGmYQVfTHs/gwFgILPGm1IFRCqAD5w7z9/C14S5s6nAFCowtps169ZBKBnpi0uvhe8tphb6BxvRBW1WLgAodSKNHMPwbNj37A4hdo9AMUCwLFtoqDfEjIA6OfpBrHBlkOA8b60dUwJ0c9OQvdbjnZq8wDc1KcuJP6wjXdpYio3k+rUp1E5wDotEzeeENSVAkBBMum+EQWAut9idS6QBAAOXJpulMtEKQBor/DLhV0SIK6Mr6CNunY3B+JGG3sAFivoDrv6J+b1F5q3g+/m6vB3TcArvwv0WZjGWaGtf7MIGGOjm1hBomio0Y/vRsPXC9N4La5bLgC2naAegEK3FPOBYhVgUvgldHw1t5v7WXWoUTYXACb+sJW4oAeG3Z+9Ib7iqJq1obZRBeypQJVSheDAhds2B4A475JuNZmlj1lzDKZvO21PGejcJgr0bRrOmVdZCaHejS0BC/fyV9hVYk7SMZtVLAJrDl/l7SYWAL4xOQmOXL5Lao7N2osFgGPaRAGmRCK5EADiC4n1R/lzAGJuwXdjS5oNK/RZgsQeqW3tVayRz+6NX9dlXsDyXWLCtkk1+rZJOLg45RP8XEYBIKnC+mxPAaA+91X1q5ICALG6GYbJmOZKk+oBiDfP+8/ftrl29gKAfDdfBwY3gsKebtD9n/2cb2dt+Rbb5puh8IQ/vBMNfRbxA8A65QJgOwWAgneBAkDxALC0nwecowBQ8FmjDakCQhWgAFCoUo7VDh/UJ6zLsMmisTJWhLz8AAAgAElEQVTo9O3qBsBNKgRZLE4hFgCK8Yi3yaa8mkQsABzdOgowIorkEgIAcVzMGWl6UQBoXekNvetAo4nbeRuKgbbWZzVugU4Z7q7OMPS/I5xdA7zzA+aPN1wUAJIqrM/2FADqc19VvyoSAGgaivpRfCm4fDtHdgBoL9HsBQAblg+CjcfM3wqmDkyEQG93+HT2Hs6CFP9rGgHj1tomjMVee6LUvNbCAWqH+UPSyWylptfduJgPFD0ATzlgMYt/PqsONV95ADb4YStxQY9Svh5w/ib1ANTdl4IuyO4KIAA8eOE2E5ZFcqE3/+U7OSRdjNpSD0DR0tmk4zeNy8H364WF6Uk1CMMCf9hgm7nE2oqVZzdY8EwTCwA7zd5jViRQrI1K9BMLAEe1rggDlx4mMkkIABzeqgK0Twg2G5cCQOtSr+9dBxpbAIAjWlWAwcu5wZz10YW1wOJC3u4uvPkhI4p4w/Gr9ygAFCanw7SiANBhtlpdC7UEAKOKF4QVX9XKM3jwssPwV8q5vP/nA4BHvmsCnvnF5wC0l0ILOsdD9ZDcap6G6+Kth5B1NwcqlywMzk758v4d/626TCHAfOGmO/s1AMxF9MGMFNh16oaZLLZ8i22vPVFqXgy16PsvfxU3CgDJlEcAmJSZTQy/yGZRZ+u/O1WHWmG5HoANvt9KXNCjpG8BuHBTfMEBdapCraIK2F+BmFKFIM0OABDnXWoIAV59TPUeYPbfKdta8HWjcvCjjaCcFgBgw/KBsPHYNd5NEAsAP5uzl/Pltm13m3+26mV8oXEF8iIgI96qCPg8RHL5vgoBtgRaB7eIhE61ypgNSwGgdaXX9qoNTX9K4m1oi8rfQ1tGQmEPN+i14CCnHfhMnX7pTt5n1APQ+r46QgsKAB1hl1W4RikA8MPq6AH4yKxaql4A4PojV+HLuQeYqk74Rn9R1xp5EFBOAFgj1I8T8G39ph4E+3tC6193wgGOkGgKAMV/oazlA6lV1p/xaKOXMAUwHyjqddoBPQDZABCr0JEW9ChRuABcvEUBoLCTRltRBYQrIBYAFi3oDlckeABSACh8j+zRslfDMPhp40mbTG1L2Ch2QdbyboutAvzZnD0WwaJYe+XqJxYAoqfeEEJvMiEAEENIu9QNpQBQxAav6Vkbmk3iB4C2eF5CL0MM8+36937OFZimt6IAUMRG67ALBYA63FQtLMkSAKxUoiD89+VrD8Ahyw/Dn8mvPQD1DgDfnLIDDl18/bZm0vuVoVXl4sy2Xr2TA/Fj5CkCEhfsC6lnb5odF8xpERbkDU1/2m7kNm5oKEcYy1uVi8Gyg+bV3bRwdpW0sWZZP9iZae51qeScWh4b84HuRADogNVs/+oUB7XDApjtqzdhC3FBD6kVR7V8bqjtVAElFRALAIv4uMPVu+JDgCkAVHJXpY/dIzEMJm+iANCgZL3wANiawV/0jC9PtbUqwGoPARYLAIe1jIRhK44SHUQhABAhVff6ZTUBADHqYw7reZBIDAUar+pRC96YvIN35K8alIWfN2cqMPPrITE0vFihAtBx1h7OefC87T7z+lmPAkBFt0Mzg1MAqJmt0pehUgAgJqtFD0DTGwetegDO7xwP8awQYFO3e/zjvaBLguwAsHLJ3DxFptfqHrUhspgPL1SQI7TkvdiSsGDvBX0dahlWw+eVKcPQuhwC0wEgMCX1ftODGH9+GgdYNIYCQD3sJl2DnhTA31YMuXpOmAQw0Ds/XGMlayfVhA0AR68+Br+pvAgE6fq03t4WMMCgkRY8AK0VPeMLEbYGAPnyV6vl/IgFgENaRMLwlfIDQPRM7dWwHAWAIg7Iyq9qQYuf+QFg5zohiv8dHtc2Ckr5ekK7GSmcKzCNLKIAUMRG67ALBYA63FQtLIkEAA5dftjojQ8fADz8XRPw0mAOQGsAEB8mlnWvyWzrlTuPIGHMZqMtxsThu/on5v2b0LwdFYv7wOFLd82Oy/LuNSG6ZCGoPnojZN19XTlKzhtLDN1ke3VaOrP58gG8JEymroXvAJeNCSF+kHyaegAK3T8KAHMBYN0JW4gr+lIPQKGnjLajCpApIBYAmlZrJJsVgH2vQAEgqXrKt+9ePxR+2XJK+YkAoHfDcjBxo7qLgFjLecyXEsVRAaCYfHKFPVyhamlfizkRv6xfFr5pEq4JAEjy7GCLL9p/X9aEN6fs5J3KFvZOeLsShAZ6QZtfd3HaUT88wChlFgWAtjgZ6p+DAkD175EuLbQEAKNLFITlrBBgUwDYLq4UA8JMPQD1DgBfvnzJhOSa5pvAvEHJIgBgeJA3ZGS9rgxlOGj/dk2A2GBfqDRsHdzNeWZ2/uTIY/N57TIwI+mMoLPt5uIET569ENRW642wOlzKafOwbK2vSyn7MR0AhgCfveF41WznfBoHWMgHrzrjtxBX9JVacVSpPaXjUgW0roBYAOjvlR+y75u/dBOqBwWAQpWyT7sv6oXC1K0UABrUt5byhKtQnb+XG+wd1MjiBnaclWqWI9w+O849a1wZX2giogjIgOYRMHr1caKlCAGAXeqGQP9m5SkAJFI2tzE6Z7z1Cz8AtEW008T3oiE8yAeaT+bORdg4MgjWs6ptUwAoYqN12IUCQB1uqhaWRAIAh/13BGbvOpu3LL0BwHmfx0NC6OsqwKYefOiNt+SLGtBj3gFYlX7FbHvFAsCQAE/O4glzP68ONUL9odzANUwhEtOrZ2IYTJKYxwbfOE7ZIiwvhqebMzx48lwLx1qyjaa5OiQPqPMB0BsYAeA5BweAtcdvJq7oK7XggM6PFl0eVUC0AmIBoJ+nG9x48ETSvIZogVGrjgp+ySZ6QtqRSIGudUNh2jYKAA2iWYt4aFg+yMxzjR3mzid+h1mpFnMLEm2aAo3FAsB+zSJg7Br5AeBntcrAoBaRmgCAmPf5r5TXOeEV2B6iIZd2qwGteTzvcCBb5DvHPPFY6bfBD9s4bX8jqqjRsyMFgERbrNvGFADqdmvVvTBpALAkXL6dA9tOGCcP1qoHoBAAiPlcPvkjlXNTxQLAUr4enF5DmFusZll/CB2wmnM+ORJZk+SnKeThCrcfPlX3gabW2UUBfBmw65RjAsDZHatBvfBARncxAFBqwQG7bDidlCqgAQXwpd1hETkAMWH/TQkAEOfFFB54UQCovoPSpU4ITLdRXkY5IjWUVhBBWCqrOIHpfFw5AoUAQLxXNn0+UHotJOOLBYB9m4bD+LUZJFOBEA/ADjWCYdibFSgAJFI2t/HiL2pA26ncobf4OV8hGxFT8Xb55YMqgN+LGmON00MZOphCSAoA5VRfu2NRAKjdvdO05UoAwPRhjcHb3VUTP2JsI4UAQBenfLDv3C3OPRcLAPk8gH7/JJYpSlJh6DrO+Xo0KAuTJVa16t8sAsYIfJMpNS+Spr8o1HiLCiAARA/A8zcdLwR4VsdqUP8VAKw1bjNcvPWI6LQE+eTnzPFJNAhtTBWgCpgpgGlMjly+C88Ii4Dgw/otCS+7KABU92EkSX0idSVaAIDVggvDnrPc97W4fq6ICHdXJ9jVLxEQlvNdegWAWK13wjoxALAwbDx2jVcvTKUyqnWUJp6d1OYBuPiLBGg7NZlXW9P8e1K/11z9p31UFRAqVxmxgXP4d6qWgEX7LuZ9RgGgErugvTEpANTenunCYosAkPUWGxdrGgL8frWScOWOuQegVgGgIeTWsLFmIcAlCoKLs5PsABBzqWTfNw83mvZRFSYHYOzIjZxnTY5KdsNaRsKwFcKqmdFiBbr4yiuyiHZxJWFHZjZx+Ksixth4UDYArDl2M1y6TQYApVYctfFy6XRUAc0oUKlEQTgqAgAWLOAKdx6J93ZnA8CRK4/CzB3C8uxqRliNG9qpVhn43UZ7ogUAWLV0Yd77Wtxq9Go6cP622a5jVMicjnFMsTquq/0fqbDdJEJITUcnLtgXGlcIgpGrjhGZ1adROfhhA1lhF9QqtrRlAIh56sa9XUkTABALv/2z+7xqCgMu6poA70zjB4DWwtyJDgBP4xntY6FGKL/TBqbKmbv7PAWAcoitozEoANTRZmppKZYAIDuRNa7puxVHYNbO1zkAEQBevpNj9gNPAWDuCRBaBZjvYWNyuxiIKVkIao/fwnmkSPL38Z3JMW2ioP+SdEFHtrSfh0PmeBMkjoM3wr8FO085KADsUA3qR+SGAFMA6OBfBLp8VSmA+ZiOXSH3APRxd+EsvCV0cewCahQAClXNdu061gw2updVcmY5cjUraR+OXaVUIdjPAfgM80YW9YGjV+5ymoEQbWHXBM7PPv59NySdzFbafNHjiwWAYio7CwGAbaoUhx/frWy2HqHPEqKFENERASDCLELnahEzCeuysEsCvDudHwBaO+PCZrHcalaHaoDh8nxpmz5JKA1zkl/nTaQegHKorv0xKADU/h5qcgVSACC+rbpy17EAoKuzE+yVOQTYw80ZHnIU1/jx3WgmoWyjids5z1a3eqHwq8RKdjjH1wvTBJ3dsoFekHntvqC2tJFjKYB/C3addkwA+EeHWGgQEcRseI0xm5iXIiQXDa0nUYu2pQoIV6BicR/IuHoPnj5/KbwTAHi7u8C9nGdEfdiNKQAULZ1NOmKuNXZBOyUn1QIAxJf9By+Ye/gZdLF274dFc+qGB8Do1lHg7uqcJ6cWAGCjyCAYtZrMA1DMngoBgG9GFwN88W96qREAYrjyvFT1AMD5nePh/d9SeL/KFYr5MOkglLzmfBoHWDE7bOBqzt8cLPKy5vDVvCgRCgCV3A3tjE0BoHb2SleWkgDA4SuOwh87X4ey8AHAQ8Mag48GcwDO/aw61Cjrn7e/pj+6GE6U38WJN1eK2ByAbs5OnFV+x7WNgvJFfeDNKdyl7b+oFwpTJQJATFrbfe5+QWcabUFvCnpRBUwVwL8F6AFImv9OD0pKBYD+Xvkh+/5jPUhB10AVUJUCCABPXL3P+ftqyVCv/C5w/zEFgKraTBmNaZ9QGv5keeLIOLTZUGJgkZL2cI2N97aHLt7hnbakbwFB6T0wogTzARsuLQDAhpGBMHo1WUVfMfm3EQBWLVUYNh1/nQPQ9N6/eVQR+PXDqpoBgPP3XIDnKnEBxBROH8zYzXuGrUFsOb5z/3xWnSncGDV0Hdzj+P3AZzaM6vpy7gHmN6lMgRzYOuxtZuoLFy5AiRIl5DCDjqExBSgA1NiG6cVcKQDw3dgScPXuY7MQYAoAc0+H1Ld2I96qCOUCveA9nrdaXeuGwrRtpyQdRcxZ8fmfewWNgV4NaRZuEgUNQhvpUgH8W7Az8wZx/ju9iBFRxBumfFAF8IEH86KSXOg9cUNCxVGSuWhbqoAjKYBeHyev3Ycnz14QLdvTzRkecHjlCx0Egcp/X9Zimo9YedRm+eaE2ufo7WxZwKBHYhhM3nRS1ZIjKD98if/lLkmhqrNj38hb60czdzO5gdV6YQhwYvlAwYXwDOsQk34H0wpUC/Y1AoCm0T/ojYj35KaX1GcJJfTHfHYLVAQAEb59OJMfACqhgemYhkKSsSM3cOZ1R3D8deNwOJv9AC7feQRBzg+gbJlgZhgKAG2xQ+qcgwJAde6L7q2yBAAx8e/SbjXzNDC9kcWHfnzYNc3xQQFgrmRSf7SHtIiEkABP6DBrD+c57FI3BKZvOy3pjP75aRxgomYhl7VE0ULGoG30qQBWN9t1ynEBIO4qhu+knrkJV++SAUCsoniTAkB9fjHoquyqAOYuO3X9PjwmBIB8aTmELoYCQKFK2aedaTJ++1ihnlkt5fhDK0mqYrMB4IczU5gXg2q9sPpxYvkgGLuGzANQTPqdAq7OTIEItgegaa5RrFQ7q2OcmVxSnyWU0F8pAIhRVqR/r3F9f3eqDh/9bl8AiIVIEPLy5YLG4jFfJYblbQf7+ZsCQCVOqTbGpABQG/ukOyulAEB86MeHXVMAmDa0MWBhC9NLjT9ibBsN7tuGfzO1F/PxubvyhwAX8XGHlAGJeUNKXe+A5hFQytcDuv7NHaLbpU4ITN8uDQDiG6t2M/jzZrD1iQ/xhZTTN3X3HaALkq4ABYC5GpJ4ShhUJ3m4kr5TdASqgOMogGkrzmTfh5ynZB6A+LD+6Olz0UJRAChaOpt0xKr181Iv2GQuLUwSGuAJp64/yDM1Xz4wqu5K4hHLBoAfzEhhXgyq9UIAiAW8xq/NIDJRTPSNs1M+Jj/cZlYIsOnLv9ph/vBXp+qaeHZCALhwzwV4JnMIMElecrZQJM4MRJtN0HhJtxpQpVRhSPxhq9H3yTBEv2YRgGfHcFEASCCujptSAKjjzVXz0kgAoGk1O0cDgBgm4eHqAqlnuSGY3ADw2ybh4JQvH4xby/128vPaZWBG0uucjGLOmbXEuewx8eZEzRXdxKyf9pFHgbfRAzAzm7gAhjyzq2eUQO/8cO0eWT4/zA10++FT9SyCWkIV0IkCGJp/7sZDYpgn1gvFIBsbAJrmTtaJtJpeBlatx/xl9OJWIMTfE05nvwaCLk75BIMerQHAeuGBMGEdGQAU+/IdPQDZQLR4oQJGaVPwJfv8zuYVlaU6EyhxzjHX49IDF4lfrlizJWNkUwgftNZaM7PPZ3esxhstRTyYyA7Lu9eE6JKFoPmkJM6q2YNbREKnWmUoABSpr167UQCo151V+bosAUAsm76EFQJsCgDxoT/LgTwAGQDo5sKE+XFdcgNAa8mjsaLUzB3SAOCCzvG8OQZN15gYEWgUvqDyo03Ns6ECbauUgORTFACKAYCmYUA23DY6FVVA1wogADx/8yE8JMzn5+biRJw3kC0kRgus+Co3ByAFgOo7Ypi+ZuHei+ozTCUWfRRfCv5OOS/KGjYAbPdbCiSfVrcHoBgAKPblu2mxlfAgb8jIupenM3okLupaw0x3tQLAVYcuw10J1dJNF4rFZpL6NhCVPmlWh2rQcTZ3uiRRB1lEp5Vf1YKKxQtC6193woHz5lW1h7eqAO0TcnP+4UU9AEWIrMMuFADqcFO1sCRLABBzvi3+4vWP0ahVR408zvCh/9o9/YQAYw6JWmH8VYAxobhnfn4AiOF/uwc0zNt2qT/a1vKM4Juk3yUCwIVdEuDd6cmCjmqTCkGw7kiWoLa0kWMp0KZKcUg+dYO4AIbeVArwzg/XCT0Avd1d4J6MN9F605SuhyogVgF8wL546yFxQQ/T6pyk81MASKqYbdvjy+t/91EAyKU6vsTCe89hK46K2hQ2AHz/t2RVp41B4IZhud+vP0G0VrH33mX8PeEMy7MS86yzQVHlkoVgWffXedcNRkl9liBanMDGGEa/5vBVWaMXMOXR9r71IaT/KiCNLP71wyrQ7R/udEkClyS52ZqetQHTTvCde9Mq2RQASpZcFwNQAKiLbdTeIkgA4OjVx+A3Vs45XgA4pDEU9NBeDkBBABA9AHlCgOUGgJ3rhBjpbXq6Pq1ZBv7YKc0DkAQAtqhUFFYeuqK9Q04tVlwBBIC7Mm8QF8BQ3DAbT+DvlR+y75OFAHvnd4F7j5/Z2FI6HVVA/wogALx0+xHcJ/x+kYQ8cqnIBoDfrTgCs3ae1b/YGloh/l4t2X9JQxbbzlS8z6sR6g8DlqaLmpQNAN+bngy7eSJmRA3+qpNYDzzTOWNL5wLAHzaQAcCONYNFfadN7w9qlfU3qpKMUUYrv6ptJo2jAMDSfh6w7dv6EDpgNTwnJIDj2kbB/xaLO7NSziK774bedSAsyBs6zEqFrRnXzYb9/p1owJcPhosCQLmU1/Y4FABqe/80a70UAIg3UejtYlYERMcAEKsD7jl7i3O/5QaA1sIwxN6EsI3HqlXvTBPmAdg6pjgsPUBvmjX7ZVfQ8DYxxZncNqQVcBU0yS5D+3u5Qfb9J0RzkyRYJxqYNqYKOLgC5YK84PLtHGIAiAn7SR9A2VKzH+QpAFTfIaT3Mvx7gmGKmOrmm0VpojbOFgCQpHidpUUgAKxTLgB+JASAHWoEw+xd5FDfNLeoaVQNpixY26uOJgAg5tFce0ReD0ADAAwbuBqePn9JdP4GvVEeRq46RtRH7sab+tSF0AAv6PLXXs5oqUnvV4ZWlYtTACi38BofjwJAjW+gVs0nAYBjVh8zqjqLAPDa3cdGb7BQhzSNAsC/OsVB7bCAvK00fesWWRRzADrD3nO2AYDWwIDYmxD2Wf23awK8LRAA0rw5Wv2WK283PlDtzMwmLoChvGW2nUEMAMS/KaQ5ymy7KjobVUCbCoQFesHVOznEHrZO+YA4BI0CQO2ckVaVi8Hyg5e1Y7ANLV3bqzZkXL0HPecfFDUrGwBiehm+nNmiBn/ViSRyxRoAxLQ/P208SWRO+4TS8GfyOaI+XI3xxekS1kt1rMa8qU89hwWAwX4esPXb+lBu0BriHKzWcqZL3iwBA2z7th6U9vOEnvMPcP59wTDl5lFFKQAUoKUjNaEA0JF2W0VrlQQAY4pD1r0c2JlpnORXrwDQ2rbJ7QFobb5PEkrDHIk3IYu/SIC2U4V5AH5YvRT8s1tcYmhra6Gfa1uBtyoXg20nrsMtB69m6+fpBjcekHkAFnB1Jq5Squ3TQq2nCthGgbKBXpAlAgBKtY7tATjsvyOivIWk2kD78yvQMroYrEijANBUIa/8LnBoaGNYf/QqdP1bXD41IwA4LZk3ZY6U80ny4toaAKxZ1h8mbSIDgNaic4Su7eP40vBXymuQaPCAM+2vxhBgoWskaYc5Erd8Uw8iBq8hri4sNi8jiX3W2ib1rQ8lfT2g779pnEWGZrSPhUaRQRQAWhPSwT6nANDBNlwty7UEANE9/l9WEZAxa47B9G2n80zHt1dcAPDgkEZQyMPNbIlq/xGz5gFobc9sDQDleAuJRV7aTt1lbWnM53J4HAqaiDbSnAIIADcdu0bsaaO5hVox2NfTDW4SAkDTsCC9aULXQxWwlwLoUYNRCrbOsYkFw1b1yM3lRQGgvXaff16az5hbG8M97KZjWdBpzl5RG8cGgO9M28WbMkfU4K86kdy3WpoHCx0iAJxMCADbxZWCeanSX4Z3qRti9ExVvFAB2NmvgeaenaTsJbtviL8nbP6mHkQOWUscFaGGCKXk/g2gaMECMHjZYSOwa1jj7I7VAKtOGy6aA1Cuk6PtcSgA1Pb+adZ6KQAQw/6wCrCpB6BWAeCfn8Yx+UAMFymwlBsAujrns5gHQ463kEu61YA2vwoDgHIlXtbsl4UazqsAhlStPXwVHj974dAqFfZwJfaCdHNxIg53cWiR6eKpAgIVCAnwhOsUAApUy3GavRFVFFal04JmpjtetKA7JPdPhKST1+Hj31NFHQhbAECslPvWLztF2cfuxADAUD+YvDmTaCzMfzd/zwWiPlyN+zQqZ1SABCswpw5s6LgAMMATNvepBxWHriPO29o8qgisTr8qeU+kDJA6MBECvd1h5MqjMHOHeYHGfz6rzgBnCgClqKy/vhQA6m9PNbEiSwCwWnBhWNS1Rt46xq45DtO2ncr7fwoAjbdYbgBo7QDZGgB2qxcKv259vf/W7KOfO44Cb0YXg5WHLkvKm6UHtQp5uMJtwjBoN2cnePLcscGpHvaerkF9CqBHybV7j4kfJqWuhHoASlVQ2f7NKhaBNYftCwuUXaG40Q0eaCmnb8D7v6WIGgQ92HAcvN6euos3Z7aowV91+u/LmkyV4sOX7koZBhAAxpXxhamE97XvxZaEBXulA0DTwhUYQbB/cCOHB4BRw9bBvZxnRHtbO8zfrCAl0QAyNN43qCH4eeWHCeuOwy9bzJ+VMHclnjcKAGUQW0dDUACoo83U0lKkAEAM+8Oba6z+yb6oB2CuGqQehKTnRo6cfEu71YDWAj0A1ZBkl1Qj2t42CtCcSrk6iwGALk754NkLsop3ttlVOgtVQNsKIAA8f/Ohzb9fFACq+9yYVl9Vt7W2tQ49+PafvyU4MoTLOiwQ+OO7lZn0Mvt4iuZJWdXKr2rB42fPoc/CNDh746HooRAAVizmQ5xL++2qJeDffRdFz2voOKZNFPRfkp43jre7C6QPa2I2rtLPEpIXItMAhiIo0d+thzuPnhKNWrlkITh44TZRH7kbG/LfY0g5V2VpfN6KKVU4b1oaAiz3DmhzPAoAtblvmrfaEgCMC/aFhV0T8tY4bu1xozdlfADwwOBGUNhTezkA53waB3VVFAJs7XDJUcmOJJTi2ybhMGFdhjWz6OcOqAAFgLmbXrCAK/GNq7NTPnhOAaADfmvokpVWAJPKn8l+oPQ0ZuNHFvWB1T1pDkCbCy9wQkzEv+FolsDWjtUMAeDhS3egxc87JC183ufxjCfU/vPyQ5nVPWpDZDEfxr6tGdegw6w9omxFAIjQaeFeMpiHgHPJ/kui5mR3mtwuBnrMO5D3T1gQ7NiIpmbjOgoAxKJNG7+uCzHD1xOnUsG+mdfuS94TKQOkD2sM3u6uMH3bKRiz5rjZUAiuKxYvmPfvFABKUVs/fSkA1M9eamolUgAgAqjrHB6AjgoATfN3aOFHe3n3mtBKYC6V/s0iOH/UNHXgqbGKKECTqufK6uPuAncJQ1ec8oHDh04rcijpoA6vgJjvoxyisQHg0OWHiT2M5LCBjsGvQMPygbDx2DUqEYcCCABPZN2DxhO3S9IHw6yz7uYoAgDX9qoNEUWkA8AqpQpBSIAXsTcfpj9aekA6APz9k1ijYiuY9/vkqOYOCwDDAr1gw9d1oeqIDXCDsJhaER93uHo3R9KZldr52PCmUMDNGebsOgtD/ztiNty6XnUgvIg3BYBShdZZfwoAdbahWlkOCQAcv/a4UQ44BIBYYS/5tHEIMAWAubuvBQCIuVTenCIsmfKQFpEwfOVRrRxtaqcNFXijUlFYdYgmVccQHtLcNTbcJjoVVYAqYAMFKAC0gcgSpmgQEQibj1MAyCUhAkD0mq3//VYJCgNgmDWmCDqggAfght51ICwoF6RsO3EdPvlDXMESBPZ5PuoAACAASURBVIBl/L1g8X4yD0A5om/Q9vmd441yLebLB3BmzBsOCwDLBXnB+t51IXbkRsi+/5jo/Hm6OcODJ8+J+sjdOGNkU8jv4gzzU89DP1Zot2GezX3qMsDZcFEPQLl3QJvjUQCozX3TvNVSACAm/kcPQCEA8OXLl1Cm/2pV6zWrYzWozyrRTgrwtOgBuOLLWtByirBQjxFvVWTK29OLKmCqAK2qmKuId34XuPeYLHk1PU1UAaqAvhQoX9QH1rwKAaYegOrb2/rhAbAl47r6DFOBRQgAL91+BDXHbpZkDQLArLuPFcnLhmGiGPIpBwAM9vOEJYTefPjs81/aZUn6YGeu++9To5sDpgVhX6TPIpINs9MA4UHesK53HYgbtZGBx1q7DHu37MAl6LXgoJn5SX3rQ0lfj7x/pwBQazusjL0UACqjKx3VigIkANC0shEfAMQqVljNin1hwt7wQWtVvR+zOlSD+hGBeTaS/ujqHQCObRPF+VZL1ZtKjbOJAhQA5spMAaBNjhudhCogSAH0qHlph/o6bAA4ZPlh+DP5nCB7aSPbKIC5ntFzjF7mCiAAvHYvB+JGbZIkT+PIIMi69xjSFCjMsOWbeoD5PfGS6gFY2s+TOJxXroiHTX3qQuIP24x0Pj6iKbi7Ohv9G+mziKSNs2NnAwCMH73J7uG8YmQ4M6Y55MuXD9akX4Ev/tlvNkRK/0QoUtA9798pABSjsv76UACovz3VxIosAsAyvoBlyw2XKQDExP/ZHB6AXAAQKzphZSc1X5iPI7F8UJ6JpD+6WgOAFYv7wPi20dB8cpKgbfnhnWjosyhNUFvayLEUaB5VBFanX3WsRXOs1iu/C9ynHoAOfw6oAOpQwF75NSkAVMf+81lRO8wfkk5mq9tIO1mHAPDOw6cQPVza/ToWWkEvLiUA4LZv6wGCO7y2n7gO7SWEAJfy9YBlB8m8+eS430EvP1xHrXFbjHb68HdNAO8j8Mp5+hx+2ZIJP2/OtNNpsO20EUW8YW2vOlBjzCa4fMe++fzErBy/O3htPp4Fn87eazbEvkENwc8rf96/UwAoRmX99aEAUH97qokVWQKA1cv4wgIWAPx+XQZM2fL6hwgB4PV7OZBy+qbRWrkA4LW7ORA3WtobRaUFndE+FvCmxXDpHQBiARCfAq6Cc71Mer8y9Jxv7tau9L7Q8dWvACb8XnOYAkA15KFR/2mhFlIFbKOAi1M+eGaHCtuGB1lcJfUAtM1ek8xSq6w/7MikAJBLM4QYD588g8gh60gkNWvLAMC7OZB28Y6kcbg6s0MppXgAxpQqBAgAlxMCwKYVisDaI9LudzzcnAE9GaubPBcdHNIICnnkRlD1/TeNuEKx7GLbcEDD300MP8cwdK1dBgC4MzMbPpy528z8Q8Mag4+7KwWAWttYhe2lAFBhgenw3ApIAYBY+RMTtZoCQNO3HDjzuRsPoO4EaUmFld7D6R9XhSYVijgEAMT8KZhHhQTMTv2wCqdbu9L7QsdXvwIUAObuEd7UP7RzImr1nxZqIVXANgqoAQBi3ty/UmgIsG12XNgsNUL9YNcp4+J1wnrqvxVCjGfPX0DZgWskLbZhefQAzIFDCgDAnf0aQPFCBRj7tmRcg46z9oiyFQFgycIexPn8cG0bj2WJmtPQqZCHK2zCircjNxqNs2dgQwjwzvUSI3VCkGSQCjobPKdrj98MF25qFwDuO3cT2k5NNlPUUCXY8AH1AFTBoVOBCRQAqmATHNEEEgD4w/oMI1d0zINxQyAAzLh6D5r8tF3VEk/7qAo0rViUsfHRk+dQfghZzkIthQB/WL0UjGodBfdynkLUMGGhHghIu/y1T9V7SI2zjwJyvBG3j+XyzkoBoLx60tGoAlIUsFcIMNsDkAJAKTuoTN+EED+z4nXKzKS9UREAylG0DyFZ1t0cSL8kvwdgcv8GULRgLgDcdCwLOs0xD7cUojwCwBKFPWAFYUEPOTxIg3zyMxVvTVMjsdfmaADQUD297oQtcO7GQyFbqKo2Bg/Aw5fuQIufzYsrZo5qBi7OTnk2UwCoqu2zmzEUANpNesee2BIAjA/xhfmdX+cA/HF9Bkxm5aLAxP/oAbj7jHEIMJcH4MELt+GtX3aqWuxfP6wCzaNyAaCYmwp8a4dv7wyXmn+8P4ovBSPfioLnL15C6ADr1ZkxXwl6AHamAFDVZ9hexmHFv3VHpL0Rt5ftdF6qAFWAKiCnAhQAyqmm/GNhehvT+1b5Z9HmiAaIIfX+tWH5QKYKsBIAMHVAIgT65BZTWHfkqugX0wgAixUqAKsOXSHarCqlCsH+87eJ+pg2LulbANb1qmMWas0Ob5a6B5IMtENnAwCs//1WOJP9wA4WSJvS8N05mXUPGk00d3gxFAkxzEIBoDS99dKbAkC97KTG1mEJAA5pEQmf1iqTt6IfN5yAyZtO5v0/JsK9cf+JIACYcvoGvP9biqrVmfJBDLSoVIyxccvxa9BxNllYgZYA4MfxpWHEWxWZtYYPWgOPn72wuDf5XZzg53YxFACq+gTbzzjM97PhKAWA9tsBOjNVgCqgFgXYAHDQsnT4O+W8WkyjdgBAXLAvpJ41fnFNhclVQC4AmBgRCFn3cuDwpbuyS8sOk117+Ap0/du84qqQSSuXLMSEEq9KJwOAGKp67Iq0dWEantU9akO5Qcah1pv71IWQAC/GfEcDgBWK+cCqHrWhwQ9b4fR15QBguSAvOJF1X8gRIWpj+O6cv/EQ6kwwLu7C/m4ZBqUAkEhe3TamAFC3W6vuhVkCgEeHNwEPt9xqVHhN3HACJgkAgHsHNQR/VqUj7Ls14xp0EJmnw1YKTm4XA29G5wLA5FM3oN0MMmCJa8a14yVHCIWS626fUBqGt8oFgDHD18Oth08tTofFDSa+V5kCQCU3RcNj49v+jceuaXgF1HSqAFWAKiCPAhQAyqOjUqPEli4Me8/dUmp4TY8rJwC8ejcHjlyWBsq4xGRHGaH3Xve54gFgsULusDqdrKBHsJ8HnJUYoorebiu/qgUhJhE4E9+Lhl2ZN6BooQJGDheaPlQCja9YHDWpDQ1/3AaZ1+QHdAYz+O5Xfdxd4G7OM4HWmjczfHf4UisZPjf0pABQtNS66kgBoK62UzuL4QOAvp5ugNV82ZcpAMTE/zcfmHsAcgFAKW/pbKUmVrltVbk4M92eszfhnWnmSVwt2cIGgC9evDT7YbfVOoTM80lCafjuFQAUUnGrYAFXmPB2JQoAhYjrgG0aRATC5uMUADrg1tMlUwWoAiYKUACo7iMhRwinulco3joDpAjpvwqkFNDGe4Krd3LgqERPOa6VsCvl/pd2GXrMOyBqwegBWMTHnbiiL+b7vnbvsag5DZ0w/Hhpt5ogVWdJRqisc1TxgrDiq1rQeOI2RTz0DMvF9FWmXp+YLxbzovdfkm6mipuLEzyxEiWFndiAj8t7kwJAlR04lZhDAaBKNsLRzOADgKV8PWB73/pGcvy08QT8tPF1CDAm/r/58AmkmuQA5AKAyw5cgl4LDqpa3qEtI6FeeCB8vz4DdpzMhjuPLHvFmS7G38sN9g7KhaZqB4AdagTDsDcrMLY2+nEbnLTytg3XNqZNJfj8T3HJllW98dQ4yQrUCw+ArRnXJY9DB6AKUAWoAlpXIDzIG9b1rsMsY+DSdPhnNw0BVtOeIvjBvNT0MlfAACkwNFUI9ODTEO8Jrt19rAgATBvaGPClNF5Sni3wHCDMW0+YvsQ7vwvceyzeUwztxjyUC7okMCHAUnTW0xmuVKIg/PdlLWgycTtkZN1TbGltYorDkgOXjMYv4OoM+AzYzwQAIhj0dncV9DzIBnwXbj6E2uNfhwEbvBvZk1IPQMW2WFMDUwCoqe3Sj7F8ALC0nwds+9YYAE7aeBImbjyRt3hM/H/rwVOzXCpcAHBe6nnONyv6URLAz9MN9r3ymhRaXMNe62cDwFZTdkDaRcuV2vAtKeYMpADQXjum7nlrh/lD0slsdRtJraMKUAWoAjZQgAJAG4gsYYroEgWt3vNIGF7TXQ0Qo8KQtfDgyXPRa0EAiEVApObK4zLg8HdNwCt/bnqixfsuQp9FaaLsRACIkTsbj5HlL8aieHiPL+XCe6a/OlUHqTpLsUFtffF7ufzLWtD0p+1w/KpyALBdXEmYl3rBaPmFPFyhf7MI+N9iYw9Ab3cXcHHKZzVNEg5m6uGHhTN/3pLJPBv+3K4KJIT6Gc1JAaDaTqB97KEA0D66O/ysJAAQC4BgIRDD1TgyCG4/NAeA7AS9hrazdp6B71YcNdO7brkAxgV/wV7jP8Za3BgtAcCONYNhaMtcD8B2v6VA8ukbFiXHRMnoMUgBoBZPpvI21yrrDzsyKQBUXmk6A1WAKqB2BSgAVPcOoafRISsvPdW9AuWsM0CMysPXM/f3Yi+8t8+6m6MIyGHnJ1+49wL0/feQKDOjEQB6usEmO6QvaVg+CGZ+EgvR360X5F0maoEa62QAgM0nJSniOWqQAx0gZu86a6ROkE9+6NMoHPouNj5LxQq6Q86zF0y6K2uXKQDE9k+fv4B8AODi7GTWnQJAa4o6xucUADrGPqtulSQA8OdNJ+EHkQBw6tZTMG7tcbP1Yxixn5ebLkJk2HkTnz1/AWUHGlf3UtPmf1qzDAxpGcmY1Gn2Hqs3QJj0eOAbkRQAyriJNcv6gYuTE2w7of3QWVzLzkzLEFlG6ehQVAGqAFVAtQpglcn1vesy9g1Ymg5zaQiwqvYKq40qUZxCVYsUaYwBYsSO3AjZ98XnuatTDkOAlQGAx0c0BXdXZ2aF81PPm4VtCl06AkB8ca9U/mJLkRGYh+6XD6tA7MgNkH3fOlwSuiYtt8P9WN69JrT4OUmR6tEGbTrXCYHftp82kgrTXn3ZoKwZTMa/5TfuP4EbIgGgpf2gAFDLp1U+2ykAlE9LOhKBAnwAEIHPVpMQYFMA2CgyCO4I9ABEz0H0IDS9WscUB8/8zvB3ivZz5BT2cIUDQxozS1Q7AOxUqwwMbpELAL+cux9WHrpi8dSUDfSC/zWNoACQ4Ltlren8zvHMG/Ke89WdG9PaOvDz+BBfSDl9U0hT2oYqQBWgCuhaAQoA1b295Yv6KBKaqu5VC7POAAATxmyCK3dyhHXiaKUkADwxshlgYQa8/tl9DgYuPSzKTgROeN+uVP5ivmqzaCzmofvxvcoQP3oTYLVkegFgSPay7jXhzSk7FPXQ/apBWfh5c6aR5GGBXvB5nRAzAIgFg87deEgBID2giilAAaBi0tKBLSlAAgCnbD4J369/HQKMLux3Hj2BPWdvGU3BFQI8ZvUxmG7yxgU7fVC9FGCSVb0BQHT7DlOxB+BntcrAoFcA8H//HrIago1VDb9pHA6f0SIgsv1BwRsdTP787nSyatOyGSDjQHFlfM2KAck4PB2KKkAVoApoRgEKANW9VXg/o2SOMXWv3rJ1BgBYe/xmuHDzkeiloPcbFgFRophD5qhmeSGVfyWfhcHLj4iyEwEgFhPZrlAUBle1WYOh71crCWPbVoJa4zbDxVvidRa1cJV2MlRGbvXLTkhTsEjPN43LMUWANh67lqfE5HYx8Pjpc/jWJJwcQfbRy3cEeWlyhQALff6+cOEClChRQqU7Q81SUgEKAJVUl47NqwAfACzj7wlbvqln1O+XLZkwYV1G3r/h2y2slGsKAFMHJkKhAm7wV8o5uPvoKXycUJrx/vsz+ZyZHRiKirAM22r9wiSyB195ACLYwepear0+r12GCenFa9h/R8zyYZjajUlwp31UlQJAGTd0Tc/aTCJrdqUwGYe36VDVggub/R2wqQF0MqoAVYAqoBIF0Jtkw9e5IcD9l6QDFkGjl3oUwByNSoAp9axQvCUGiNHgh61w+voD0QMhAMQIhxNZ90WPwdfxzJjmkC8fZlYDmLPrLAz9TzwA9HF3UayAGVe1WcOaPkkoDd+1qgj1v98KZ7LF60wiLuZtJ614TDK+1LbobbekW01o/etOOHBeuSrdA5uXh/gQP+g4ew8T5o5n9Y8O1WD5wcvwjUlBmeZRRSD1zC1B4fAUAEo9AY7ZnwJAx9x3u69aCgBMjAiEuzncAHDC2gxYtO8isz7MrYAl7w3/z170F/VC4cHjZ5xw0O7iEBqgJQCIOTAGNC/PrHD82uPw69ZTVlc7s30sBYBWVRLeYHOfulDS10PVnqJCV1O1dGHYd87YE1hoX9qOKkAVoAroSQEKANW9m7g/J6/JD6bUvWph1hkgRpOJ2yVBUoQqV+/kKKIzG7T8seMMDF9pXmBQyGqx6ISXu4ti+YvRy2/+Hu4Ch4aX8I1+3KaIRlzrf6tyMVh28LIQaezSBu8jF39RA9pO3aXo/eTwVhWgfUIw8+x5+9FTKOrjDk5O+TgrSr8bWwK2ZFyH6/es58OkANAux0bzk1IAqPkt1OYCSADgr1szYfza1x6ACADRA3CvyYM/egDGjdpkJAi62WNb06tXwzCmuhKXd6DWFMU1pg3NzQH4+NlzCB+0VrVL6FInBPq/AoCmnp18RlMAKO927urXAIoVKgDB/VbJO7AdRsPcLRhSQS+qAFWAKuDoClAAqO4TEBrgCackeLepe3XSrDNAjDcmJ0kqlFKrbK4HoBKglQ1aZmw/DaNWHxO1aASAHm4ukHxamQJm6OU3hyPyCY3tXj8Uvm0SAc0mJcmej/LndjHw1bwDZpq0iyulam9kAwB8Z9ouRSNKxraJgvfjSpnps2T/Rfh6YZrRv2OU2opDlykAFPUNo52EKEABoBCVaBvZFeADgCH+nrDZJATYFAA2QA9AgQCQz3AsLHH1ziPeH0nZF6zggBhKcGhYE20AwLoh0L9Zrgeg0Deof3WKg49/T1VQQccaet+ghuDnlV9xAIjVqRGyK3nhjXTaxTtKTkHHpgpQBagCmlAAi2ZtzAsBPgTzUrm9gDSxGB0aife3p20Udqk1+QxwTWoetppl/SDr7mPIVMDTkg0Ap287BWPWHBclM963FHBzVqyAGXr5zUg6w2nb143KQY/EMGj58w5IvyTvvdOUD2KYMadve13pFj3ZvN1d4fcd3PaIElDmTphKZlHXGkxe7NQzyhWVm/heNLSOMc+3t/TARei9wBgA4h5hpelr1ANQ5t2mwxkUoACQngW7KEACAKduPQXj1r7+oa0fHgD3cp6ZewAOSIS40cYegHyLG9IiEs7ffGg1B51dxCGclA0Ac54+h4jB6vUA7Fo3FPo1i2BWiD9u/ZakW13t8u41AW8K6SWPAoe/a8LkACw/eC08evpcnkE5RknpnwjxY4R9H8UaUalEQUWrtom1i/ajClAFqAK2VoACQFsrTjZfsJ8HnL3xkKyTg7Q2wLW3p+4yu7cnkQABIIYAK+FpyQaApo4JJDYiAMzv6qwYbPqyflmYssW42qzBPrz/xvtwJfLd/fphFagV5g/NJyUxBUa887vAnE5xsPnYNV57SHRTqi0Wk1vYJQHe/y1ZMSiLtqM+zaOKmi1j2YFL0GvBQaN/x3yBM3ecZmA2+8J73sOX7sCLl7n/iu2wijDJxX7+pkVASJTTV1sKAPW1n5pZDS8ADPCEzX2Mi4BM23YKxrLetNULD4D7EgHgqNYV4WTWfV0AQG93F0h/5QGodgCIuRfR+xKv/9IuQw+OcAHTQ4xFYTBhMb3kUeDkqGbg6uwEUpNtW7LGw80Zjg5vCt3+2Qer06/KYzjHKBWK+UgKF1LMMDowVYAqQBWwsQIUANpYcMLpMC81vniml7kCBrgmFcLUCPWDq3dzJBUS4dsfNgCcsvkkfL/+hKitRIiT38VJsXDTPo3KwQ8buG0b2jISOtYsA+9OS4bUs/J6u039sAo0iyoK+ByCxTRCAjwhyMcdhKb7ESWmDJ0wV/yCLgnwwYwU2HVKmbBsNPP3T2IhsXyQmcXLD16CnvONAeCYNlEwaeNJ5iyzLwwjxmKZSw9cgvAi3vBJQjCTR5DkogCQRC39tqUAUL97q+qVkQBAU1f7uuUC4P7jZ2bJWkk8jr5/J5p5izJ711lV6yTEOC0BwG71QqHvKwC48WiWoOIe+wc3giojNgiRgrYRoIDhJvajmbthR2a2gB7kTdxcnODEyGaQee0eNPxxO/kAAnuUL+ojex4bgVPTZlQBqgBVQFUKsAFgv8WHeAsBqMpoBzKmpG8BuHDzkQOtWPhSDfclH/++W1J13IQQP8i6pzwAlAK1EADiS1ilCpgNaB4Bo1dzhyej88OH1UsrArumfVQVmlYsYrbpQtP9CD8t8rbEMzOvczwoeU+MFv/dqTrjIWl6cQHAye1iYNSqo2YegPM+j4eEUD9JAlAAKEk+3XSmAFA3W6mthZAAwN+2nzL6MeMDgDv7NYCaYzcLEgKT1e4/fwtm7dQBAMzvAunf5eYAfPTkOZQfYp8QYCxGgv9ZesNtSECMtu46lQ0fzNhtdb/QYy1s4Bqr7bTYAOEthrPb8jLcaOPbxYkbxb3BFmKvYZ5By9Lh75TzQroQt4ko4g3Hr94j7kc7UAWoAlQBvSmARSY2vYqgoABQfbtbvFABuHSbAkCunTHcL3w6ew9sPn5N9OYxABA9ABXItcj2AMy+/xiqjdoIL1+FYhZwdRacUgUBoLNTPsZLTolrWMtIGLaCu0IxOj+8XbUEtP8jFbafuC7r9NM/rgpNKpgDQKHpfmQ1hmAw9Bqd+3k8SIXP1qbEMGMMNza9uKKhZnWoBp/O2ZN3vgx90NGlSEF3a1NZ/JwCQEny6aYzBYC62UptLYQPALJvYA0rMgWAdcoFMGXUTd+ebf+2PtSZsEWQEL99XJXJ9fDHTvUmphW0EAAmnxvmdcPLXgAQEwu3jikOw1cehQ1Hs3hN71AjGIa9WYH5HKu3viUgtx/edFUYshYePFEuX51QreVuJ/WBIMA7P1QqXhA2CbxhfqtyMfjp/RhmGehFW3HoOrmXlDee4WZ56PLDihXbKRfkBSey7iu2BjowVYAqQBXQigIUANp2p/o2DYcJ6zLAKV8+eG5IymXBhGIF3eHyHeOQPttarOxsYoucoC67+icyxnX+cy+st3APaW0F8SG+jNfUGYUBINoxe+cZmLjxJPh5uUGXOiHwv8XWc1pjPwSAeGbwHliJC8NH+/Pk10bPsjeji0Gn2XsE3zcKtXFG+1hoFCksxFXomLZoh5Wj//6sOnSYlQpbM+SFomz7MZ95dMlCZktakXbZrHryoq4J8M60ZLO2Z8Y0h3z5yEJ+TQehANAWp0r9c1AAqP490qWFJABwxvbTMGr1sTwdaof5M6Br77lbRtps7lMXGvywTZBecz6NY95+qbkylaCFmADAh0+eQeQQ5aAOl03j364E78aWZD76bsURi16VBld7bHsi6x40nmg9PBRBUsKYTXBFhzfOUj3YDDcUbX7dCfutvE3GvDCYLNjd1TlvG1NO34D3f0sRetSI2hkA4LD/jigWao8PvEok+yZaKG1MFaAKUAVUoAAFgLbdhFOjm8PdR0+ZSQt7usGLFy8hZMBqXiOK+Lib5fSyrcXKzobQ4p+Uc7Ds4GWiif7qFAe1wwKYPt3/2Q+r0q8Q9Wc3xnxuWDnVFgCQPS9JuhMEgIhw0i7KW4XXYM+4tlG8MNIQptvlr72w7gj/y3oxGzCzfSw05ACA649chc5/7RMzpE364DPlX52qKwJF2QtY26s2RBTxMVsTlwfgmp61odmkJLO2bC9UseJQAChWOX31owBQX/upmdXwAUB2DhvDYmYmnYaRq4wBICaZ3XPWGACu711HEFDCced3jof1R7J04QHo6eYMR4Y3ZeSyNQBEgLWse808qGS6V6YHEqvgbf22PvPPF289hFrjrHts4g9ek4nbISNLf6GeccG+khIxJ/dvAEULFgBrANDwhtN0P249eAIxCuVXtAUAFOtxoJk/lNRQqgBVgCogUAFMum8oova/fw/Bgr0XBPakzcQocHp0c7ME/OPXHodft57iHC7QOz8Dp/R6rfyqFvi4u0LbabvgOsE62VCj5/wDsJwQILL1RACIIcBKVFu2BF/O33goOAIpqnhBxuT0S8oAwJFvVYRByw5zHrNZHatB/fBA6D53P6w6JB60cg3+R4dYaBBh7gGYdPI6fPx7qmqPPUaV/flpnGTvU2sLxIKGWMDD9Fq45wL0XXzI6J+T+taH2uONn4+wcEzGyGbWprH6OQWAViVyiAYUADrENqtvkVIAIMKMJ89emIETvPlo8fMOQYtFb0EsAPJn8jlB7dXcyFBxFW3E0OgKCoZ1snXAH6NVPWpB2UDvvH9ee/gqdP2b/03fiFYV4OOEYKb9zQdPBBX3wJsuJSqWqWFPEyMCJYVhYKENLLjR+tedFvPJ4Dy/d6hmtuTbD59A5eHKFFixBQBEoKzEjb4azga1gSpAFaAKkChAASCJWtLbcoXjXb2TA+hdZfDuwt9e/I3G6+S1+5B5Tb8pK/B+sEKxgoAvFrHCbBcBXl/s+1fUqM/CNFi8/6LozcEcawgAz92Qv9qyJQCI+x4/ZpMguxEAvnj5Eo5cviuoPWkjrPT7HU8OwLmfVYcaZf2h1/wDxJ6a1uzAvHX1IwLNmu07dxPaTjUPZ7U2nq0+x7zyGBX2xd/7YM3hq4pNu6tfAyhWqIDZ+FxFUg4MbmT2cj48yBvW9a4j2T4KACVLqIsBKADUxTZqbxEkABDDdEesfJ3QlgGAz19A6hnjEvYYDtlKQE65mFKFYGm3mqCXJNn2AoBc+T6wsjIfhEVvrQVdEgDz1uGFXpwRgy0XLDFUOP5szh7YeEx8Ymi1fkMwb+LSA5dEm2e4IbUGAJtHFYFfP6xqNs+dh08hevh60fNb6miwzVpYuJTJS/l6WCw6I2Vs2pcqQBWgCmhJAQoAbbtblvJxYU5ALPTAvvR6H2NYowEA4v8LzUfNzmGN/fovOQTzUtXpuWoJAAp9oY1rRAD4gxxGlwAAIABJREFU7MVLOHZFGQD4bZNwwCJv+Jxkei3+IgGqlvaFbxalwb/7xINWrm/a7I7VoF64OQA8cvkOvDFZmHOGbb/BubPVDw+AWR3jFPGKZK9n76CG4O+V+/zDvqZsPgnfrzcuyIcv98sNMi5+2DgyCH5rHytZIgoAJUuoiwEoANTFNmpvEXwAMCzQCzZ8XddoQaYAsGZZP3j2/CXsNgGA+MNm7S3Tu7ElYOAbkUy12q8XHoQl+8XDF7WojtXHjo3IDQFWurCDYc1uzk5wYpS5KzqXRxnmq13WrSZgeLdnfpc82V6+fAll+vPny8GGWCQDqzvrZa9Mz0z7hNKSvFANN6RYTMVSQmkEjRPfq2x2ZO88egrR3ykLAIevOKpYqH2JwgXg4i1aVVEtf4uoHVQBqoD9FMCXbJu/qccY0PffNFi4V94HfPutTJ0zk+bjUqLwgpqUWd2jNkQWy81x9uz5Cyg70BhgcNnqnd8F0l8VscPPBy87DH+lqDMyx9J+k9x7IwB8+vwFHL+qTFqb7vVDYc6uc8zzgOm14staEFWioCKgFb3o0JvO9MJ8jPW/36qmo2pkS4OIQPijQzWQGn5ubYHpwxqDt7urWbOxa47DtG3GaQPwrH3yRypsY1VqXterDoQXeR1xZW0+vs8pABSrnL76UQCor/3UzGpIAKCpezSWbEf3eaziy74WdI6H96wUNNg3qCH4vXoD8+Xc/bBS5hwY9tgANgC8l/MUooYpA3TYa/P1dIP9gxuZLZcP6vHdOAX3W2VRMvTw2t63PihZSMIee2aYEyvHTd9+WrQJBl3R8zXNQkW596uVhLFtK5nNczfnKVRS4LywQxWUBIB6r6oo+mDQjlQBqoDDKUABoG23nBQAdpyVClsUrDJq29Wbz8YGgPiptfs7bGOI8jCMpmTEgFR9LO03piUy9djimw8BILZXKq/1pzXLwLKDl5g0O6YX5kovF+QNg5alw98p56VKYtSfXcyF/QFJeLSsBgkcrGH5QJj5STX4esFBWCIhIsfadIaUPabtuKA3nrX0i3eYlEoY0t61bih80yTc2hSCPqcAUJBMum9EAaDut1idC+QDgOWCvGB9b2MPwFk7zxjls8BKsngln75htLhu9UJ5ky8bGh4d3gQ83HK90JSogmUPtd1dneD4iFxvPLkBII6NNyovXhqvzN/LDfYOMgeAfDd9YgGg4YFm4oYTMGnTSXvIq+icXeqGwPRt4gAge9+tAcBPEkrDd60qmq1FTgDYLq4kE7qD+Y5+fDcaWlQqxsyH4ftKVdvWe1VFRQ8fHZwqQBXQlQIUANp2O0kBoKlHj22tVX42rFxavujrKqdCACBG46QNbZxn3OjVx+A3CS9FlVylpf0WEtFisK1icR94/PQFkxNSiWvj13Xho5m7OStOb/2mHgT7eyryUv3vTtWhVpi/2ZLkfi6RW7OG5YNg5iexioRFs23lSxnAlQOQfda40glI0YACQCnq6acvBYD62UtNrYQEAM7eeQaGsRLaxof4Qj7IZwYAhQjArtqml7exCETndY5nli8n0MHxQgM8mSIL+APEvrCaXerAhpySc930iQWAhjeKpmHgQvZaC23wrZ6p679Qu0v6FoCkvg2Y5q2m7MhLOs7Vv3OdEBjQvLzZR3KGAOMeX7j5kAnzRg9RwzVy5VGYueOM2dyT28VAj3kHhC6Xs53eqypKEod2pgpQBTSlQI/EMPi6UTno/s9+WJVOXqETK0xipUm8vl2UBotkzvGlKTFtYCwpAGz/RypsZ4X02cBEm04hBgAW8nCFg0NeA8AJ647DL1u4qyjbdDEck1nbbyHAE4dFAIg5Ek9dfyDLkjDH856zt5jKyx1rBsPQlhWgzvgtnPmRk/s3gKIFC8CoVUdhRpL5fZkUgwwFRrjGsPaSWsq8UvsacuvJlRceX8SczjbfW77zg4A0fvQmePDkObMUjAzqz3G/LnWdhv4UAMqlpLbHoQBQ2/unWeulAECxi0bPJHTBNlwfzkyBnZnGXoRix7ZXP9MKanIDwDrlAmDHyetmHoDVggvDoq41OJcdOWQtPHz1Q2ZoIBYAZo5qBi7OTrBo7wX49t9D9pJZsXm/qBcKU7eKu9mtUqoQLOlWk7HNGgD8qkFZ6NOYO3ygxc9JcPiS9GTUfHvMBwCxiMznf+6VpC0mVM6+/1jSGLQzVYAqQBVQgwIGAHjq+n1I/GEbsUkUABJLJqmDNSBkOvjHv++GpJPZgubEvL0fxZeC1DO3YPeZG7BVA6HDa3vVhogiZB6AhT1c4QALAKo52sPafpMAwIePn3NCIkGHw6TR2DZR0KZKCSY1krurM/Npox+3cXoYGtIgjVt7XPS9J5+Ncz+vDjVCzT0Asf3Z7AeA3p23Hz01K+AoZs1y9mlSIQimfxwLA5amw9zd0sOiN/Wpy7yA2X/+tpGZls7Pyax7MDf1PJP3/JMaweDqnFs5XImLAkAlVNXemBQAam/PdGExHwDkKnM+Z9dZGPrfEcnrNoVl705LhtSzxnkEJU9i4wE83ZzhyPDcAiB4yenRheO1iysF81LNfxAnvV8ZWlUuzrnapj9tN0tuLAYA9moYBr0almPmWH/kKnT+a5+N1VV+OkzWjN6NOU/Nq7VZm71nYhj0bpSrz5tTdsChi3d4u3zTuBx82SCM83P02hu79jg8ffYC0i7ehqy74oAa3x7zvWnGcJGPft9tbZkWP0dPQ648N5IGpZ2pAlQBqoAdFDAAQJwaXwzhQzrJRQEgiVrS21oDQqYzYFjmjkxhAHBWx2pQn1VRVShckr4q8SNYA4B4D276ctjP0w32sfJJc1VEFW+RvD2t7bfQPUIPwAePnwMWx5DjwmiKN6NzU64YrjcmJ8GRy+Yvdg2FKH5cnwGTN2fKMX3eGP99WRMqlShkdUy850TYJfblt9UJCBs0q1gEpn5UVZYCNIY0DKlnbsK705PzLMG8jENaRhJapkxzCgCV0VVro1IAqLUd04m9JADwz+SzMGS5dADo6pwPTo5qnqegtcqpWpBaaQD4bZNwmLAuw0yKU6Obg7NTPk6JTH/43q5aAr5/J5qzraUbpt4Ny0HPhrnQKuX0DXjfSoEXLeyXqY1f1i8L8/dcEOTFhm/Kbz18ygzh4+4Cu/ongterqsotf94B6Zf4AeCA5hHQuc7/2TsTuC+m/Y9/EWnTZpclKqHdkpJSqK7lWpOdaw1d1+5GdgrZ18T9291kX5KytJEUkihr2kiJylJJ3P/rfTJP88zzW2aemed5fsvn3JfXrX5nzsy8z5mZcz7nu2yXFVGcZCvpJsfpYvqEydqd7YJxH1ryF5Nsdavy92prr2WrgoE0K+iCBh7a0vo9O61U6wS53nGzDRKf8FfQLahZESgKAns23bCURdjZ3ZrYeT5LbYLAH3jXW6FZ+AXAC56aak9HcAFO9d4IfeIirZhNEApiOfr+iTbhq3BeJ8F4aklthFdkVwWzlAbnd+0bN7B3vy696R6MJz151o/Wa/Aa4aQirzdq29n6O6wAuNPmG7gMvbN/WBb1ElLWf+D4XWyfHTcp9dsh97xtUwIWaFTwElHc8cYXdstrnydyfhphfkpYoCiWay9O/TZ2GJgkbmD/lpvZ3ce0Cx0XkfjbWOqlcuHeo0lDe/yU3e3PP//n4pY/N+Uba75pHeP96iWgTOKa47QhATAOvcI5VgJg4fRlXt1JOgGQF+Wr53QudS+PvjPLLktAAAxmG9vv9vE2fX5818eqBI8A9PFVPUougVh9H81bYofcMyGRy7qtdxsjRf13P60oae/Gw1vZEbtsmbZ9giFfO3yGPTZxtm23UW2755h2LuhwqpJpwnT+vs3sn3uvFgBnzP/J/nb7+ETuKZcawTX3panfujiL2cplB+zoJllzflxmiKqN6tcsOSSbAHjV33dybgXZShyxPd3k+OZRn9mdKXaah5/dyfa/I/ziNtW1I4T+tGJVttuqkN+Di/dMJ2Hz4fc/Apl0KuCqvGx2Fz/9kT353lx3BnT6Cf/e216bscDtcKuIgAjkBgEWnv5Yf0EBkKsMIyrce0w7q19rPef+12bL1RY4UQVArPr/NfTD3ACTJ1eRTRAK3saRQ96xiTPDeZ3899TdrcN2qxPeeeX92Yvt6ffnumRbuViCAqA/ARgheB48cVc75oHSVv9BAZD5467XvRFqU7SyGWTr7zDPKteMAEi4nrk/Lk/kFlK53va+750yYisn8xJR3DPmS7vx1bKb++W9IJLADTy0VaTDV/3xp4uBPe7zRVXqjbV/q83s7qPbhU5Yt3XDmnbqntta/xTzqU5NNrTHTmkfiUNlV5YAWNnEc/N8EgBzs18K/qoiCYATZyeycMVd8AOfq8E+t4y1LysoC1dldWBQAOS8TKDaXP2acweOW57q08Gmzl3iBD3KAa02szuObGtrp7H+i3q+TBMmrA/P6trENfnNkuW2x/VvRm0+5+uz4Ht9xsJQQjQC4MmdGqe8p2xx/IgRc+RuW2Xl8faXi8pM0LMe9FeFdJPjlz/61vo+UTbZB3FSyhPnyn89qVyKwl5v3HrspDfrP6JUM12abeQEt9GBeE2VYQHYe5ct7cq/72Q11lvHlixbaVe/PN0lZcH15G8tN3OCfKoJa1wOOl4ERCA6Ad4TPJfDP1qT7COVALjzNa/ZD7+uTHsCL1FWsEJUAfDOo9raP2MmZYpOIb+PyCYIBe8unSiTisLTfTrYLts0KPPT73/8abtc+3oi87uk6QcFwN9W/WFDxs5087djd9/ayPi7542jS522xrrr2Ixr1oSx4cdPv/vJet6Wexu+2fo7igCI5wJckijPn7VHifDvtZcq4Uz1amvbZ3/FQb9/3Ey77pXV8/okSroMwGHbZs5y86jP7dGJs8Meklg9T7wMm4F6t20a2CHttijjacEFsTH86MkSABPrHDVUYQQkAFYYWjWciUBVCIAb1aluk32Za7sMGp2YCX5V9Xad6tVsms8C0LuOpBKcTPh3N9u8Xg1ngbfi9z9cfI90rr/lYRBWACRLVssrR5XnFDl9DDGfJn71Q6jdT78gGrypbAIgLthYDWYr85cutw4Dyye0ppscz/lhmXUeVHrSz3WMu7Bryn/Pdo3+39dbZ21b+Uf0+IlRzpGuLvfb7eYxNtOXyY8MnFhRPvj2rFKH4S6y6s8/yx1fMcz1ejv76eo+/u5su/Q5WQCGYak6IlDRBNiQxMLLLwCmStbU/dax9vmCX1Jezitn72k7br4m6YK/0mff/WzfLl1u/3hwcsk/Y4V1yxGtjY0evxUZ3xbch898/IOKvu2Caj+bIBS82XRxp1Nls3/7392cm2Gq8u7MH1xolgU/r0jMiiyJjhl1bmdrtkmdtE2lm8cFOZY3CU4S95CpjWz9fdHTU23Ye/OyXgYWgIt/XWnfLl3jWZP1oAwVXju3szUNcD/l4ffs9RkLSh3l94J68O2v7aqXpsc5baljvYR9cRusbPEX74yhp3Wwnbeu77ydsEjMVojPiWB57pNTy1SVAJiNnn7PFQISAHOlJ4rsOqIIgElZrmxWd317p9/eJaQ7DnwjsQ9wVXUfLpAfXbnGBdi7joEjZth9Y2fGvqxMsf5iN57Fvenins2NLLkUrBob93sliVPmVBsk8sBlO2gxluoiSRhyYY/mKa+fSVPv+yamtQoIKwDG4Zxuckyb2/d/tYxQN/6irmWsAaJ2zlprMTaiHhW9Pi4i/oW6F7icfzt32IeGVcbpnbezf/+tuV390nT7v7e/LnUSJpd9uzWx/s997DL1EbB70S8r7ZkPsi8Wwl5ttsUJ2e3IcqciAiJQ9QQIFo9497LPAjCVAHjUkIn2zszUceO8DbpMd8P3hcyq1aut495BLbaoax9/s9SwECKBEonXnjuro437/Hvr85gEwCgjI9s7N9hWr8ETbPKsxWVOQTvnDJ1iz3/4rfttnx02sQdO2CXUpbw2fYGd+fj7lRJiItsFZRMA080vghxnfv+LdStHFuxs1xf392z9veCnFdZ+wBtZT4MAmCpBR9YD01R46+KupULCUO2sxz8oFV6Af9uwdnV7r/8+rhUs7ZIKCeKPPVree/Af58+WTTZs1m73jMkuzEU9N141ZAD2wuncNPIzu2t09sQobLYu/Pk363TDm2Weu4PbbG63Hdk26qVUan25AFcq7pw9mQTAnO2awr6wKALgk5Pn2MXPxF+4btmgho2/qFsJ2F2ufc0twvO5tN2qnj135h5lbiGV2yUWB8T5Oe4/k0LfcrYJT+iG0lTc95ax9kUaN+x+f2tup3dZk7girHtF3GuqzONJdPLFwp9LLQLTnf8fe2xjVxy4U9rLO+mhyfbmpwtT/j7o8FbWK0PcxnSTrygsMo2VVAGpmbR2uqGsZWCUc1Zk3WN338rmLV5u3ZpvbAe33cJIGoS1H1aHLM46N9vInR6rBrI4Y2FM8cc98q5vv5ab2j3H7Fzmcqn7yrTVLoDzY1gDEBtyyuXdM+Igm3cwOUhF8ivGtnGD+nzBz879OhcKC7Ngpkk2jVpvWc9tFpBFHGEYESFsYdMCy7VCTMoUlkES9fh2Y+GVTQDELZc4sanK9Kt7WM31qpXrcpYu+93mLVnmLLYI3D/yk+/s9EffL1dbUQ9iAyWTW3PU9qqqftT5UTrGtEP8ZuZtbBAd0GrzSMkUxny20E70WXpWFY9UlmjBa0k1jwtynLXoV9vrpjFVdRtpzxumv6tinjrlsn1dDFB/OffJD10CCn/ZvO76LnkcZeikOfbvQLKw8gAnvMkLffewnTavW57DUx6D6/gLH37r5loHtt7cxn/xfejxjZvzb6vCeYUE+5OkKCRHyVQQJG/t3cZV+XDuErthxKclGzScG+vAjtttmBiLimhIAmBFUM2/NiUA5l+fFcQVpxMAd9hsAxvxrz1L3eOUOYsTSWoR3KVqeeVI+7mKEggk1YnprMJm//CrdRlUegLFx4kYiDtdMTLU6f3xQkIdUI5K78360Q5Pk/EtmLm2KiZW5bilSIect28z+3bJcpcJOFs5ctct7frD0gdZPuXhyS6eYKpyw2Etrfeu2WMAcizWIQfcGT05R6bJ8eUvfGyPvFM6tgsuTrkQ1xGXDSaMZK/2l0+v6emC6nsFoY8J39YNatlWDdckYAnyvvbl6fbAW6UtALOJt7TR+qpR5Y7rtN1GteyN8/fKOISSmvBnG6fF/DsC4JcLf7YrE3StKi9PrKdJpITlhJft8cSO27g4kcEy4atFdvvrX5QJGn9B92Z206jSmSJ5Z2ERGzd+Z3nvq1COY2Ohc9MNbcrcJSW31H3HTR1bf8mUmT2b238UVojApz7yXpRDSuqyuTr42J3tzz/N1q22lvG/o+6f6CwMg2Xv5hvbf07c1e4b+5UNHPFpuc6XKweFEYSC18qGj9/V+px9mto5+zSLfUtREozEPlmaBpISAFPNXyvqmqO0G6a/q2Ke+tm1PZ2Fr7+c9+SH9mxAAOR37x6eem+uXfj0R1Fuv0xdrOeObr+1Efu4IksUt2DuL2wfBPvz7tFfOtd6f2Ej+LGJc9w/EbeVuOg7b106Nue8xctcPHnWmFs3TJ3wsCL5RG1bAmBUYoVZXwJgYfZrpLuaM2eO3XHHHTZ8+HDjz9WrV7cmTZrYEUccYWeeeabVrJl+sRvpRL7KUQRAMkW1vea12GJd041r22vndSm5iuaXjXCWO/lc0gXeTedqwUQBd8wwhcyCBCmvyMJ1skvJIieYzbX//jvYKXtuW3L6sB/1irzepNtmgb5k+e/2n4BglOo87IQSqD1dYfGWzpLnrqPbOquCsOWI+94pI4j5j91kg+pl4tllmhwPe2+uXRSYbOK+1jEHEruwAGO3OWgpFWayn4rndcOn2/3jSwuAuAb38VmzpjquzdWjjMDg5SkEpR7Wp0PGQ4lZQzZvFudMZJnsei5n5TmnjilL4JGTdnPj6IoXP0kUT7ut6tkHc9YIRZkax8oD61SshUkIQyHYPDFcycqerpAwJhigf8bVPW3o5Dk27Zul7jDGDou+7jttaic+OMnGBJLdJHrTBd7YoW23sFv+siTJdKuvfvyd9XkstWVeed9Rqc735qcL7KSHyicApnr/vPrx/JQuxZ4AyDUQ623EtPllROZ86fry8Me6CdfLUdMXWNst69nNR7QxvDPilqPvn2gTvkrtKk5ymU+/+9mdsyLL6+d1tiYbp48ByLnDWACmehfFuW6s1NZea63Y8YLD9HdVzFNTbQQcdNdbNnXe6ve2v3j38PyUb+ycJ+Nl/Q7DI06/eccSL5E1YJjCNfW4dZx9tuDnjNVThVt4YPzMkoSH3sEIfr/+tspl7+7cbMOct+4Lw0gCYBhKhV9HAmDh93HGO0T0O+aYY2zp0rIfCg7cfvvt7ZVXXrFtt10jxCSBLIoAyPlOe+S92JOX5pvWsVfP6Vxy+U0uecVW/Rk/gNjpXbZ1VlNvf5l68uXndXrnbe2+cfFj83ltskDzFnnBfkk1EZk5YD/b9pL0sfQQBkDynxN2sb132CSJrg7VBgHLe9w2rlTdS/fbwU7tnF8CYKtGdW3zujXs1U++C3XfWNhsVreGnf9U2WDCwQb22WFje+CEXdO2e/qj79nIT8pO8Mmy9/5l+0RyFWt26YiMk2X/rqh3QZkmg6mCehOLhmyGVV3GXLCX7X/HePt15R8pJ8pRry9VJrnberdxbsSZSturR9nicgqAiDL3HRcuZpR3DYNGfmp3j04+rk5UXoVU/6F/7Gpzflxml7+QrAD4fv997PIXPykVhzLI7Z5j2ln3HTexauusXS6kWDHs9ZfVOLE1KVOv6J72vfHnn/9zFoN3jf4i1LeP9ghCn5TVfcst6pYIk+W64So+KIxVMJcIZ76NqUJlJLkAH/3ZwlIJQ8LiYVOKzalgYeO2681jSiWpOLr9VrbL1vXt0HZrElK9Pn2BnVJOy8Ow11hR9ZLkH/caj33gXXvry0Upm8Fql7lJRbsJB7MAp7qYMAIg76KkwoMw5z6/+/YueR3zW76xCIwH3f12ZORh+ru8AiAicCqL2TAXmeq60iWG8+o+8/68UPPOdOfvtXMjG9SrdZjLi10nnUEDc9vlv5edt02c+YOzZg5+a9gc22fHTZyVHtbwwYSGD0+YVWbzLoxVa+wbrOQGJABWMvAcPZ0EwBztmMq4rKlTp1rHjh1t2bJlVrt2bevXr5917drVli9fbkOHDrX777/fXUbz5s1t8uTJrk5SJZ0AuONmG9grARdgzklmzbiLqhZbbGAv/3ONe3F5d8Dq1ljXtm5Y01b98T+XpILJL9YVfHDGf5F6AuZxQwiIu+vmtcWu5pcD9kvbJQSoJYaZv2Qyj7+5V2s7LESm2KTGgL+dVMGT2bU+r/v2JdXKO7FKd718/Dtu19CYRMTdGWfy9sZ5XdwCl53H/e8I50JL9sXTOm/rggkv+Om3kktNtVAmfuNBbdKLSGc89r6N+Li08LhHk4bWt+vqmF1RSu/73injDugdT1yWMRfu5VwAvclXthiDTOCOvv/dklgprRvVtRf6dgrtqhHl2rPV3X3bBm43lwL7S/bbIZRVQrZ2vd8HvjKjjMj/31N3z9oH2UTXTOc/arctbeCh6d3DUx1746ufJhZY29s4CMuoUOsR/6dRvRr2/uzFhoiWROxaWCGWE5+NdlMVgsoPP7t06IzKYpwpRh3XcNIeja1ezXXtuN23tpenzS8TeJ6xSxy6ga98GslCJ4pVZGWxiHIe4r/+a5+moQ4Jmz01VGNpKo39/Hs74f/Cxwf2mvEn6wo2/cGcxYYrIlbu5+zd1E7co3GZs0sAjNNra47NZJHr9RGiD0KvP+4kLTBP6NZ8Exe/Nk554aw9XHzRTCXVdy4oYGGxnFR4kHTeD/8aOsVZ/octbPT3+9sOWauXd5469LTdbdMN1ndzpKixelMJgH+7fbzNmP9Tmev16sZNrkgSty0bJO8dlg5wKq6EQApuYnr3h5j6wy+/uQQfxFD9n/3PzZ/9YV2C5xoy7isb8ErpsASTLt3bNq6zftZ+z6cKEgDzqbcq7lolAFYc25xvGbFvzJgxVq1aNRs3bpx16FDahWzQoEF20UUXufu46qqr7PLLL0/snqIKgKksiKJeTJst69nzZ61JmLFs5Srr+8QUlzgB68DWjerZLytXWc+dNrWpc5e4HXcmxV7Zd8dNXPykjWpXt/WqlbWyYKf+x2UrjZ1Y3C1SFdweicf09Pvxs392arKhPXZK+7QYgqLprtvUt6f6dEwrunxyVQ+rVb18AcWj9kWwPgJq88tKuyYH41VhLbbolzUimb8N7u3J0zo4d+Iw1nRYOLZsVLfkw05st+MeeNd+/m2V1alezbnQ/bTi96yCrncNuMS+e8nq7GqUna95LVSQc084+27pCrv9jS+MRA1kiMUtlfHX94kPXJYxMjUSaDnT5CWY9Y1g/QT5L09hfF6QxiqxUf0a9tbF3VyssxHTvrPmm21gPBvZCm4cD06Y5TI6IwoQtLq8k+Vs50r3uxdjlLiLxP0jZgtl9wFvOPdYfwmz25/qPKniHb55fhfbNoP7Je3EYXHmXtvZRT1TZ4hOx+L6EZ/a4LHxLQBvPKyVHbHrlsYYJpMomyO4oj/1/rxyxzQsb/+W57hj2m9lk2f9aJ8v+CXr4bwbeEekK/934i5uIe2VpNxkJ1+6j2HR4d8k8F9D2MVp1hssR4VUmU15vxITqcdOm9o2fz1jNI2Qtc8tY0vdhydOkEmbDNpkpwxTdmvcIGOYglRtYAHSqlG90BbaYa6jvHWuPmgnO77DNqEPD2M5FbqxFBUJtB8lQZjXxN1HtysTt9DfPO97ylqeWWng3MzDFv280gnmy1b+UcYTIM49ZTo2iQzy5f1GVMQ93T9upl33yoyUTQfDqZDowIsLWrt6NXunXzfj//nGkLCYAAAgAElEQVQmPDFpTrmtdJ88bXdrv23mzcZ217xWxtItyHH+0uXWYeCbiWAad2HXlDF7U1l7ZTrhh5fva/VqZnfVzvQdJwHTR1f2cEktgs/aM2esji3HOuLGkZ/Zix9+4+aoWzWoWSakiP8603mGpHOD9VincncNCzwYTinscXHqBbnyLscjZr87xpc0y8b5tCt7lPs0/ufCa+Tza/+Wcr1X7pPkwIESAHOgE3LgEiQA5kAnVMUlYNG32267uVOffvrpNnjw4DKX8eeff1qLFi1sxowZVr9+fVuwYIGtu+66iVxuOgEwnSVDOhPwKBez89b17ZkzOpY6hHYRWFyMEMxYAuWeMV/a/701yxA9bjmiddZFPIeTke2Uh98r4158cqfGRtp5hJOD755gv2RYSHqXgTB5UqfGZeKn8TvWJl233zgtAhZUB9zxlrNI49bIXMUOWKoJyoa1qzsrk6oswesKxkh664tFdux/3i1ziQe32dxuO3J1bLwwVp3pXK+YdH79/a/WolFd22D91eP8obe/tptHfe7EKo67Kk1wf392NY4LE+Aci1Qsw+r8da5U7BG+v1m83FjsZhL/OPasJz4o5SIYtKCM0rdMQhn7uBR51nLe8ekyT0dp36ubKcB9edrLdkw6a5XguLm1d2s7pO0aN7Vs7fp/7/Po+2UEhjDZOsMKgKkyuwYXeGGud+CIGXbf2HjhCHhvvn/ZvoZVdLDM/P4X63bz2DCXUml19m+5mQ3/K+vytghTa5ndckQbe+erH+yGV7MnJPhqwH72+Luz7Y0ZC907dXQgBl4wdMI/HpxUpk55bhYBcNfrUrvL11pvHRt3UVdrWHt1FurKLljqYLHjL5mEkS8W/GwnP/yec5VmLD9xansjDAIlmzWh/xyH79yozEYaGRoHHtrSWScHr4lj2zduYA+ftJvtPvCNcsfbTIpvmHhp/nNVtAA44ctFdvQDZb+vwfv1x3+tud46xqZmGGEkLLdM70Hec9cOTy1yhW2feoy5WutVs7mLl1mHbRvaKx9/V8Yy1d/eZnXXNzZZOLeXYTRbSI4o15NEXWILDh4z0z6cu7jMO+fKA3csZX3J9524vLN/XGa9d9mylEjPtTA37f/cNHtv9uIyXiTetZ7QYWt7OJDYi2crW0KIzjeOds9+pvcFm0k8o0mUdIlyyILd/bbSmxHpzhfF3TXT+PW8kFh3kEWdEAoUhMFJl+6Tco6HQL7nDaNTbijjSXFTr9bWdJOycRfZaGETJli8d/Ndb35R7tibqZI1JtFXmdo4+79T7EVfNnTPY+n8YVPtmQ/muYzBg3q1yuglk+0aU3lF5JLIn+36w/4uATAsqcKuJwGwsPs37d1deumlNmDAAPf7xIkTrX371JZk119/vXMNpowaNcr23XffRIhFFQA5adysvcSeeTogACZyMykawfT+8wU/255NNzKEuN9+/7PULuScH5Y5q5N01mpYmkz4a1f2jz//Z00uHVHmLGEyADIpRDjbon4Na77pBq6NVBOUMDu3FcXKazd4Xakm2FhksljH+rHNVvUMqzK/GwKm/iwiUxUypeJeHsyWFva+MmUi86zivLawaNz31rGl4h/5z3P23k3dgiKbqBf22qgXXDynCnIcpb10/VKeeHPpzoslXtebxpQsqrx6TIiDSWGiXPs1B7ewz777qSR7m3fspEv2to03KOvOwTOGBeZbX3zvxtY/925q65YzltrBd7/tsgX7S5hJZBgBEBGahCLBRD7lESxTxSoMyxjhhizhjOP90iQKihK4O+x5sXQ7Z+9mRtZa3HJ22KyO2xxJle0w2CYx4176Z6eUp/po3hIXE+ovYyW34XNwmy3srtFflqr/5XV/KxVjL7iYvf/4XUpZw5700GRnYZ6q3Hh4K3vug29K3OKDdbAQQ+Qi8cb6665tjfuVjd3KWIUJ35mqKj1vG1fG4j3beGdRy7O/eb0apWIMHv9/k5wVabay7jpr2THtt7aHJswqVdWzGk8VU5aK3gYA3xD6xgthgBXo4++uzvSYrbBJ+cm3ZV3rvON4ry/8+TdnRc6iNVVBqGRDLkoJvh8Q36Zf3TNKExnrwoTMvekKzzwWnVh74yGBwMr4RAxIsmTKhh5XAMSS/tgOWzt39GDJ5GGAcPzk6R2MOcDgMV/ZBjXWtfP33d7q1kxmQzxJfitX/WnN+peeL157cAs7NsU9hzkv8fJIaoRLZZ8u29rKP/7nNnz22K5hmXlpGLfQS5+bVuZZC74vFv60wnYbUFoAZAM9TLI0/z1h5fn1wP3T3mZYq1cSQey6TenMr+kazfQd36/lpnbPMTu7QxEgr391hi36ZaWd1bWJ4aGUrmA0sM8ta2JkY4E36tzOaa1qaefweyc4ATdYPNajPvnOTns0dXKhbOPC8ybKVi/J39kMJ0QBYY0w5iDeLpvniKkzF/3qLFg3STG3i3INwTl+cGM/Slu5XFcCYC73TuVdmwTAymOdU2fq3LmzjR8/3mrVqmVLlixxbsCpyjvvvOPiBFJwAcYVOImSTgDcs+mG9ujJqcVILOuCQYzJKPdGmgVW8DpTWQAmcS9x2kg1WcCMnQmbP95bsF6cDL0VbUlQXh7B6wqT2TR4rlemzbczH/+gzCVgrYO1XTb3lEzXPvuHX63LX0Hyg/Vw08AKx1/Sua0Tu+rZM9e4opeXV/C4pct/d2Iz2e64X8TFJATGxv2GlwgjnBPh4ohdtkzqsp3LyyH3vF2SsQ6B63gWaf+ZlDbmWaaTOxfUc7vYyx99a+cNW5NchThHj5+ye2LXna6hjgPfsG+XRncnTvVcNqy1nkvyQ3bgHTffwO44sq1hgYOFE5NeCkLAu5fsndGSNNW1BrMVH9aukcvKGRQv/cdi4YYL5UZ1wlmbpQtETpv0MRlzif9JhmTed4zfe0Z/ac988I27XyycL31+mht/CI5vnN/FxfQJFqx3L3zqI3v7q0Wlxir12Ezp1HRDtwGTKYYTsbHISMr99d51SxcoPmjBGHQH6jJotM3+YY01y33H7exEEq+c/NDktN+n4Wd3shc//LZUvEjc/7E05xlm8ep3m9z3lrGlEkFsUa+Gvf3vbhU+nrOdYPhH8531sVeixLYLtp0uc2WwHgtQxgEhH/zlgeN3cUHeKQ++/XUZi23/BgBJKrB0wnotiocB317eK8Hg85zTb43O34dOmmP/fnaaux76875jd3YbEFjupHOJTcc7lQvchH57Z+ue0L+/O/MH6z0kvQCYbvMk9AlCVkwlEHEoFj6XHbhjRks97xTEZUasYjMGDw9KtsRme974ZtoNO4TDkeeuSSAX8laqpBrjOrhh7IVpSPqC/PFuCZ0z+LjV4lamsvDnFS7BB0Il5YoDd7R/BGJDcg+4CnubgFg5M9YRh6OUdPH//G3cPfpLu2nUZ2W+G14df9bqMOfOJADGCdVAJtr7x8+0Fb//aafs2djw2slUJn39ox1x3zulqvjvJdU4CbaHKHnV33dy7zB/PMGgRWkYLknUYWN98bKVLgxTeZNdZbsOz9KQTbfbere1ni3WfM+zHZsvv0sAzJeeqtjrlABYsXxztvWNNtrIFi1aZK1bt7YPP0yfCn7x4sXWoMHqna9evXrZsGHDErmnVAIgu/pDjt8lo1urP24VkzxiqAVjx6W7wDgx0RK56RSNBBM3vNh3D9t+0zplrNT8WZDZfcUlLFUcwjDXGZyghHHbCNNu3Dp7DRpts3yL6WxJL1Kd79F3ZtllgQycBJlH3Ngl5A5uuvvI5JbiWQgEjz36/ok24avS2aErS4iK2x/e8bgC3/jqZ+6vCJ2IMOW1jkt3TUxuSaCzUZ31rN1W9d3imEU5osyrH39nw94LHzOTjKm4QxJvDIuiKXOWOMHqqdM7lHF1SoqRv53ml41wk3R/yWYRRd2yFrCb2JDjdk4ZmgDLBVxfECEIK1AeQRYLBOJcIq4RILvmetVcTMB0Vhbl2UDB3ZO4VMT2YkHilSjxz7BMmvbNEieskb0vU1m+8g9rffWoksUldade3r1cljqpAtFPu7J7KaGVOgjYFEJINKi5WrD1SiYB8OV/drKXPvq2lBt2JsuwoHXz0306xH6nJTH+sTK/8sXpLu4jmxuDDm9dLt5cS/AbkO76TunU2F6fsaDU94K6n17Ts2TTgwQUh94zoaSJbJbLYSxwsQzFyonvFFaj/xpaeu5EdvRrD25Zck7eYc9/+I1Nm/eTHdh6M2u7Vf1yIw9eHxl1Bxyy5lzlbvivAxFk2ERi8wj3S08489oN8w6Lew0c//3Pv7lxEMzKToI43LvDZG/13i9T5ix2cZx5d2Wzkk1lyerdTxwLuiSYRGmD99G2l5S2FmZTwZ95OUp7meoyvgkRgjCDxWswq2q6Y/kuIN6T/OegNpunFMPZWOj//DRbZ+217dqDd7KeLTazlleMzBiD1X8+3hGX7r9DKKGdcBXEPP5gTmnLfdobfcFeJbGCw3DL9B657pAWznK5MgrjgGQiT743t+R0fHNabFG35O+EuLkyTVgbKmFlSB/Rz7xPmUsxB+zu2+SqjHupzHNwr7zfsSgMu9FZmdeXxLkkACZBMf/bkACY/30Y+Q5WrFhhNWqsjrmz//7728svv5yxDbL//vrrr7b77rsbFoFhCi+YTGX+/PklMQi3OOMh26tdc5eNE6uPMIWXtLeDjqUPyTy8wiSdJAOYc3vCAVZ1TNyTjFUT5jqz1eEaz3jsA8O6jF1QXFxSWQbgTnfb65+7bHpkHvbcebO1n+p3Ek1c8txqqxomxiwko1ojlOe82Y4hBtEpj7znxALcrJ7u07HUYjrb8fyeKrDzzAH7pRRRwrTnr0MCEtyEgoUswrgjpLIu/PibpS4epD/BRL+/NbfTu2wX9fRVWv/NTxfY/KUrXMZrLz5iZV0Qz3rH6990589WDm23hYvp5hUmwYg0m9ZdP3HRMt21kMTgsuc/Lvn5gFab2V1Ht8t26WUEQBa7R+22VdbjkqyQyS0Iy0ws9cpbcPsc9ckC5/ZJTMuKKn7X5r5dm9gFPdZkEo9yziXLVlqbq18rdQiWllHcjE55eLK9PiO1CzCLMbJx+hOxBC3IgtdLFk+EVKzcCJGQC+/tKEyz1R02ea5d9MxH2arZs2d2tNGfLrQ731zjol2/5ro25fLuJcfy3rj19dWJlXCZu613m5Tu/94B2UKMECvtzK7blRKhcUnzJwobe+FeWUXqrDeXpoI/ayfWKeMv6lZhC1SsogaNXL3pQyFe5psX7FXeS498HC7GQaHvwh7bu7AZ9DmWlUEra+8kDWqt5+Z6UROaBfvSaw/hkWRrtJsPJZU1K/OTvTLEi87V++Je2F/xhEUSl5CowV/on1M7N3YhG7Acx5KVe92/1WaRbitVPGIvzlyUhoLPjv/YR0/eLasQHeVcYeoi6n/yzVLbbuPaZb5dsxb9anvdNCZlM3EsucNcl+pUHQEJgFXHPpfOLAEwl3qjkq7l+++/t403Xp08onfv3jZ06NCMZ95kk01s4cKFLiHItGmr3VmylSgLk9cnf2Lddg63U5fuvFiJ3Dv2K2MRQJwfFpmU16cvsJmLfrH9W21uuEyprCYw/duf7PtffrOO2zWsNGEkDHus7L5dutyY1JXHfZW4UohFXonqvpHpGrF0CcZew5ULcccfhzDYBrvjZETFGqHpxnWc+0bSFnRh2OZzHeJlkiEUERZRDAGJlD0s8kjK8OTkuS5BDxZz2bLtVjQHYiVh+UkmcN45j5/SPpTloT8A9ZYNatib5+9V6eOEMU7AcWKYeYVFN0wPa7dF3ghObKxQ4myUpHrew2Rz9o+v0x99zyUMwf0zaFH1Ut9O9srH8+3eMWsyMWMNc/tfCY0qepzmYvssVoldRQb0dMWLDcvmyqH3TnDWnvDFwjeOlTdCHiJQsJDoBvfP7VJk8eYacBljc+KsrttZ325NKxQrLuok9cJd3stgXhEnxCIK91lcMBFfSJ6WKUZZRVyDPyMn7o6Ien7r2vdnL7bj//OusxTkGvdqtpF7PyHSYkUetTAn8mcUxWugb7cm7h1eXm+LqNeQVH2/58HGdarbO/32Dm2dl9Q1VEQ7fP8J8ULf77vDJnbHUW0T6xs2OU966L1Sl10eq1dESxKsfLHgF3vgra9L2sONeXL/fUrFPK0IRlHbfG7KPBcrmY13z80Xbyn+S5UYMWr7qp97BCQA5l6fVMUVSQCsCupVfM65c+faVluttiw57rjj7JFHHsl4RdTlmO22286+/LJ0UPR0B0YRAGm7UaPyZdysYpQ6fQ4SeOLdOTZk3Fdut/P6w1olulDyx00LG/MmBxEV3CUROy6XRFXEI7I3Y3mIa22YwsKBLHe4wLH4JPN0VRQ2U7CiQ1QhPtPOW1ectV5V3F/Yc9IfTS8dUSqbe9CFKmxb1CMwvxf3ir8T7gGXKsTrtdcmIfFaLoNmeS0Wo1xLLtfFjXv6/J+sVvV1XOiBT75d6jJyw2b576usS7ONS8QMfmO87r5tw1KubeW5P/r7njFflbJ8Q4jHzTab+2h5zpfrxxADk40XxLRtyJhdycV7HxL0n2QjqSxvse4m2RoJGnDZi1vuG/uVYcHNhgdx83h/52Mhzt5NIz9z4ihCDm6chVSw7E9anArGIr7moJ3suA7bxMKGEEhMSwRqYun13rVyLfpjXbwOLlgCEgALtmsj3ZgEwEi4CqNyZVgARnEBlgBYGOOqGO6CRcm7X//oFvJk4Ex6EloMDHWPIpAvBFjAkXyARCtYm7ZqVDdyshXvXllgBhN75AuHYrtOYmNiTY7Fdti4ZsXGSPcrAoVGgI27cZ+TYb66tc6QlTfKfbM5ueqP/0UOZxPlHKorAlEISACMQqtw60oALNy+TXtnlREDMBtWvYCyEdLvIiACIiACIiACIiACIiACIiACIhCfgNbf8RkWQgsSAAuhF8txD7mUBVgWgOXoQB0iAiIgAiIgAiIgAiIgAiIgAiIgAiEISAAMAakIqkgALIJOTnWLnTt3tvHjx1utWrVsyZIlVq1a6vgpZP3t2LGja+Lyyy+3q666KhFiegElglGNiIAIiIAIiIAIiIAIiIAIiIAIiEBGAlp/a4BAQAJgkY6DSy65xAYOHOjufuLEida+ffuUJK6//nrr16+f+23kyJHWvXv3RIjpBZQIRjUiAiIgAiIgAiIgAiIgAiIgAiIgAhIANQayEpAAmBVRYVaYNGlSieh3+umn2+DBg8vc6J9//mktWrSwGTNmWL169WzhwoW27rrrJgJEAmAiGNWICIiACIiACIiACIiACIiACIiACEgA1BjISkACYFZEhVvBcwPG/XfcuHHWoUOHUjc7aNAgu+iii9y/XXHFFXbllVcmBkMCYGIo1ZAIiIAIiIAIiIAIiIAIiIAIiIAIpCWg9bcGBwQkABbxOJgyZYrtsccetnz5cqtdu7bhFty1a1f396FDh9qQIUMcnWbNmtl7771nderUSYyWXkCJoVRDIiACIiACIiACIiACIiACIiACIiABUGMgIwEJgEU+QF566SU79thj7aeffkpJAvFv+PDh1qRJk0RJSQBMFKcaEwEREAEREAEREAEREAEREAEREIGUBLT+1sCAgARAjQObPXu23X777U7o48Ww3nrrOcGvV69e1rdvX6tZs2bilPQCShypGhQBERABERABERABERABERABERCBMgS0/tagkACoMVBlBPQCqjL0OrEIiIAIiIAIiIAIiIAIiIAIiEAREdD6u4g6O8OtygJQ46BKCOgFVCXYdVIREAEREAEREAEREAEREAEREIEiI6D1d5F1eJrblQCocVAlBPQCqhLsOqkIiIAIiIAIiIAIiIAIiIAIiECREdD6u8g6XAKgOjyXCOgFlEu9oWsRAREQAREQAREQAREQAREQAREoVAJafxdqz0a7L1kARuOl2gkR0AsoIZBqRgREQAREQAREQAREQAREQAREQAQyEND6W8MDAhIANQ6qhIBeQFWCXScVAREQAREQAREQAREQAREQAREoMgJafxdZh6e5XQmAGgdVQkAvoCrBrpOKgAiIgAiIgAiIgAiIgAiIgAgUGQGtv4uswyUAqsNziYBeQLnUG7oWERABERABERABERABERABERCBQiWg9Xeh9my0+5IFYDReqp0QAb2AEgKpZkRABERABERABERABERABERABEQgAwGtvzU8ICABUOOgSgjoBVQl2HVSERABERABERABERABERABERCBIiOg9XeRdXia25UAqHFQJQT0AqoS7DqpCIiACIiACIiACIiACIiACIhAkRHQ+rvIOlwCoDo8lwjoBZRLvaFrEQEREAEREAEREAEREAEREAERKFQCWn8Xas9Guy9ZAEbjpdoJEdALKCGQakYEREAEREAEREAEREAEREAEREAEMhDQ+lvDAwISADUOqoSAXkBVgl0nFQEREAEREAEREAEREAEREAERKDICWn8XWYenuV0JgBoHVUJAL6Aqwa6TioAIiIAIiIAIiIAIiIAIiIAIFBkBrb+LrMMlAKrDc4mAXkC51Bu6FhEQAREQAREQAREQAREQAREQgUIloPV3ofZstPuSBWA0XqqdEIFZs2ZZ48aNXWuTJk2yzTbbLKGW1YwIiIAIiIAIiIAIiIAIiIAIiIAIiIBHYP78+bbbbru5v3799de2zTbbCE4REpAAWISdngu3PHny5JIXUC5cj65BBERABERABERABERABERABERABAqdAAY4u+66a6Hfpu4vBQEJgBoWVUJAAmCVYNdJRUAEREAEREAEREAEREAEREAEipiABMDi7XwJgMXb91V65ytWrLBp06a5a9hoo42sWrVqVXo9+X5yv0m3XKqz96Z4ZWcUpYZ4RqGVvq44JsPRa0U8k+Epjslw1LhMlqO/NY3R+GzFMD7DYAtimgxTcUyGI62sWrXKvv/+e9dgy5Ytbf3110+ucbWUNwQkAOZNV+lCRSA9AQV1jTY6xCsar2y1xTMboXC/i2M4TmFriWdYUpnriWMyHL1WxDNZnrQmpvGZimF8hsEWxDQZpuKYDEe1IgIeAQmAGgsiUAAE9HGM1oniFY1XttrimY1QuN/FMRynsLXEMywpCYDJkArXisZlOE5RaolpFFqp64phfIYSAJNnKIG/Ypiq1eImIAGwuPtfd18gBDRxi9aR4hWNV7ba4pmNULjfxTEcp7C1xDMsKQmAyZAK14rGZThOUWqJaRRaEgDj0wrXgsZlOE7ZaoljNkL6XQSiEZAAGI2XaotAThLQxzFat4hXNF7ZaotnNkLhfhfHcJzC1hLPsKQkACZDKlwrGpfhOEWpJaZRaEkAjE8rXAsal+E4ZasljtkI6XcRiEZAAmA0XqotAjlJQB/HaN0iXtF4ZastntkIhftdHMNxCltLPMOSkgCYDKlwrWhchuMUpZaYRqElATA+rXAtaFyG45StljhmI6TfRSAaAQmA0XiptgjkJAF9HKN1i3hF45WttnhmIxTud3EMxylsLfEMS0oCYDKkwrWicRmOU5RaYhqFlgTA+LTCtaBxGY5TtlrimI2QfheBaAQkAEbjpdoikJME9HGM1i3iFY1XttrimY1QuN/FMRynsLXEMywpCYDJkArXisZlOE5RaolpFFoSAOPTCteCxmU4TtlqiWM2QvpdBKIRkAAYjZdqi0BOEtDHMVq3iFc0Xtlqi2c2QuF+F8dwnMLWEs+wpCQAJkMqXCsal+E4RaklplFoSQCMTytcCxqX4ThlqyWO2QjpdxGIRkACYDReqi0CIiACIiACIiACIiACIiACIiACIiACIiACeUVAAmBedZcuVgREQAREQAREQAREQAREQAREQAREQAREQASiEZAAGI2XaouACIiACIiACIiACIiACIiACIiACIiACIhAXhGQAJhX3aWLFQEREAEREAEREAEREAEREAEREAEREAEREIFoBCQARuOl2iIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQVwQkAOZVd+liRUAEREAEREAEREAEREAEREAEREAEREAERCAaAQmA0XiptgiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAjkFQEJgHnVXbpYERABERABERABERABERABERABERABERABEYhGQAJgNF6qLQIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJ5RUACYF51ly5WBERABERABERABERABERABERABERABERABKIRkAAYjZdqi4AIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEBeEZAAmFfdpYsVAREQAREQAREQAREQAREQAREQAREQAREQgWgEJABG46XaIiACIiACIiACIiACIiACIiACIiACIiACIpBXBCQA5lV36WJFQAT+/PNPW3vttQWiggj873//s7XWWquCWi/sZn/++WerXbu2+CXYzTBlPMJVpXwEPvjgA7vxxhvtX//6l3Xo0KF8jeioEgL6BmkwiEDhE9BcqPD7WHcoAsVKQAJgsfa87lsE8pCAFl7Jd9qPP/5oV155pTVr1sz69u1rmvRGZ7x48WI7++yzbd68efbwww/bVlttFb0RHVGKwE8//WQPPfSQTZo0ydZff327+uqrbfPNNxelCAQYlxdddJH95z//cUfddNNNdt5550VoQVWDBH777Tf3jmQTar311hMgERCBAiPw/PPP28EHH6y5UMx+HTt2rP3yyy/2ww8/WMuWLW3rrbe2Bg0auFY1z4wJV4eLQEwCEgBjAtThIlBeAq+99pr7MPIf4kvz5s1tyy231McxDdBhw4bZ+++/b0uXLrXvv//eunfvbnvuuaftuOOO5e2Coj9uwIABds011xiL2l122cWee+4522KLLUxCa/ihceutt9qll15qK1ascAeNGzfOOnXqFL4B1SxD4K677jLG5nfffees/1gsDBo0yM49982DVBYAACAASURBVFxZ/4YcL7fddpv169fPPdteQUTt37+/nu+QDIPVHnzwQRs+fLj9+uuvNn36dOvcubMdccQR1qNHDycGalEbDSzfGzZN4LnddtvZzjvvbNtss417xv/44w9bZ511ojVYpLWZG33xxRe2fPlyt/nE96dJkyZuTIpj+EHx8ssvu2/MV199ZSNHjrR9993XVq1aZdWqVQvfiGo6dswrP/vsM/v999+NzTwY7rDDDnb66afbmWeeKUoiIAJVTEACYBV3gE5ffAT4OF511VX28ccfu8UtLm4Udsd69+5t119/ffFByXDH8GIh++GHH7pJBBMyr7Bo+L//+z/r2LGjFgsRR83KlSutYcOGbvEFV6yssGK79tprI7ZUnNVHjBjhFguff/65A4AgfdZZZ1nPnj1t3XXXLU4oMe8aUeX88893CwjKrrvu6rhiNYDQgjitkplAcFy2bt3aFi1aZN988417T7711ltCGJEAm3U864zPYKlXr5716dPHLrvsMqtRo0bElouz+qhRo+ySSy4xXNOrV69eIlJj4bvffvs5S9UNNtigOOFEuOs33njDWfROmzbNiX180ykbbbSR7b333sZGimdxFaHZoqvK+3HgwIHGZp5XsFibOnWq+6uE/XBDYu7cuXbxxRfb0KFD3QEbbrihm68jQjPPZGOZNQ+beYxbcQ3HVbVEoCIISACsCKpqUwRSEGCnGyHr8ccfd79usskmTihg1xZXLT6OFOpgqVHsu99MJnBNxeqC0qhRI9tpp53chGL+/Pk2e/ZsN6lgl/aKK65wi1uV8AQ+/fRT69Kli3PRYAxSsER99NFHnfAiy4HULNnVRqR65ZVXSpjx98MPP9zq168fvgNUsxQBnmVi1CHoYwkN07///e9uMVurVi0txLKMl+C4bNq0qf373/92gnS3bt2cNcZuu+1m//3vf61x48YafSEIYG2OMED8RMq2225re+21lxOsZs2a5YQXrFsYrwhaWLdoUZseLPMcLIOwTqWw6YlVEP+OBRu8+e4ccsghjiXiv3iW5gkPrKpuv/12N+bgxfOMJwQW0zNmzHDW6MwnDzjgAMdx//33F8fAsPTGFfPyO++8080zCYdSp04dNx9CTL377rvtjDPOkBVghnelxxHPh8svv9x5QNSsWdP++c9/OjGfORHvSKx9b7nlFjcOEasRV7fffnuNyxDfIVURgYogIAGwIqiqTRH4i4D3cZw4caITqbAk8D6OBx10kPs44u7Cx5FJMRM4REFikPztb38rSo4we/PNN5349/bbbzurCiYThx56qLMA4r+ZM2faAw884KwlEUpvuOEGJx4Uu2gaZcAw1lh87bHHHoYVyxNPPOGElsMOO8zFXlMpTYBFAVZAQ4YMcT+QlAKLyZNPPlmCSozB4rmbYxWA9QDvxDvuuMMJqlgHeUVu6akhI5zyrrz55pvLjEsEFr4vjFOsgbDIQLRi80klOwHE0gsuuMBZUJ5wwgnuG4OLJSIBYtVTTz1lp512mmPM9xoRAcYqqQk88sgjTthn0wk3wFNPPdXx4j9ifWI5xDyI7zjfJv6OsCURsDRPRL5evXo5Uf8f//iHs6bimebdiVUgm8x8wxmXbAQ888wz4phiSCKeEiP1nnvucaI+G6CIzszHsZjmOWezmTm7vj/p32oI+Ail3jgjzASbd/7vN0fzfSdG8sKFC924JTatnm19LUSgaghIAKwa7jprERFYtmyZcxFiMovLKq5CiFm4XPoLu43skH399dduB5yPaTF+HInzh+UKE9n27du7RdeBBx5YYgUEM6wAsWDDZZrJMAGbn3322aLkVd5HacqUKS7mElaAr776qltAsFOLpSXWBYxBTXpX08Wigjh/nosQVlUsVBFYUolUxfjclnccesdhWYX1ACKrJ2bxmyxR05NFzOMZ9sIiHH300U7sI56nlymdseiNXRa5fIdwp9YYzTxiiQPGu/Hbb791mZOxTEUg8DKke7HBsLLCGrhNmzY2ZswYua6mwYr7dNeuXV38XjaZsLradNNNS9XGso25EXEWKWxOwVQbe6Wh8pzzHGORyjwRd1Xveffemccee6w9+eST7kBiArKpqlh2pTm+9NJL7l3Ie5F4njzjMEWcQtxn7s7mM/MhzYVSP9hshJxyyiluHPKcDh482I455phS6xvvXclcnWefuTvu/hhGMN9UEQERqHwCEgArn7nOWEQEsBoiLphnUcVEAoshdhS94i1w58yZ46wJiI/Dh5QJM7u3xVbuvfdex4yFLa7QxLLxZ1v0Fq4kT2GBxqQCN2AWDVoohB8tX375pXMJJPnMhAkT3IIMsRXWcGVCh5WbJr6rmSKSMh6ZtOIi/e6775bAhhHjUuMv/Pjz15w8ebIT++EH13bt2pVxu2K8Yg2MAINbsBdnsZiFLOJPYkmOCM3Y5D3oj0PnPbtYBB133HHuu0OMT55zT8gqX48V/lFY4SNGwQwLoeOPP77UTXuLWha8fK+wYvvoo49kXZlmaHhjkJh0iFGtWrUqVdMbq7gC4xroFZIBXXjhhXq3/rUZwpwSsYqYyDzTWFT5i8dxwYIFTojBiwKBC1d2rFn1jVpDC/GKzWa+IVgCIv5R+AadeOKJzsKSwlyceZI2o8o+3EuWLHGuv1j3EiqBNUymguD69NNPu2ecTX6EQBUREIHKJyABsPKZ64xFRICJF5Z9uP8S++acc87JePcsJBDANttsM2N3koVwsRRvIY97ABN+XIQQBYKFehR2t3HLwmqApCpYVqqEJ/D66687d5fdd9/dCYAUFmUkp2ExS3whxmsxCyww8e6fhReu5lgBkriHCS9WFlgJeII+Y5ckCwgy/BnLDFzY/IJ/+B4qnppkseRZxhoAayoyWHoCFTyxthw/fryzKmARxphlI6VYwyR4I4PFPpZquPAjiqYriKdkTEcUQARgoSZhP/PzhejXt29fV+mxxx4zrK5SZQTFuhJxBYtp3gk86xJXS7PlHcq3hE0m3FR5pnHxDX5bvDHJe5WQFBQSVSHGYg2oYi7uMeIJlqnMK/mPOZA/8ZTHkU0r5p3vvPOOez/g2qpYyatHkTf2EPkQRfnm+AturMzdEQmZJ8FSJTUBNt+9hDR8w1N9W7x/Q3Dl+wNzvkt4UaiIgAhUPgEJgJXPXGcsMALeRCLd7iCZ7nAnwK0AF6JMH0f/ooMd3uAueSGgy8QrFRuvvn/xheULrhmIWLgBB7PdFZtolW0Mpho3uFojpGBBROIPLIewzNhnn32cOxEubQgz7IqnWvgWwlj030Mmht5vPMvsdiNSsaBiEcZEloDhxLAjpg0LNNzcvMKCC4srXF/8blqFxi/V/WQbl97vnnUQ4gAhEMgAyqKWxYLndu1lAIch7wnEQNyF6Y9grKFCYpuNYZh7/eSTT9z4472JZTWu1sWcsTYMU2J9EroDYeWoo45y7oGMPe9YxiA8+f7w71j3Y5lVjCXMu5PYfzzLxFDkux0UXDxRBq5s/t1///3OZZVvD9ZYbIwW8nMedtzwfiTkCe7/xFlD1EsnONMviC1soCD+wxER1kuqFPacxVTPm4MSA5B3JvMk5vYvvviiS6pSDHOhsP3tPfd8q+EW5vn0xH0S+rGpx+aVigiIQOUTkABY+cx1xgIjQHywYDw/vwDF5IGPo3+HNh0CdskJgM+uGDtqnktCISHLxsu713QWKohVWLF4IgsLCawusJqsW7euCzKO5RV9UixCYFim/nHkubiRIZQFmVdwe+M3RBhiu9x0000lvxUyz7AMEemx+GGB4MXzxPqHrKAULFawGoAfWQUpTHKxakW0xq26WEpYpi+88IKddNJJLhsoiRcQVXBf488UrAPJZElmcFwESQDkxb1jfLK5UqgZmMMyzDamsKbG1RpLKgRXhJhiLZmYeu84ElXwbcGSl9i9/fr1c2OUgtUv4j8WQnyviZ8KTxJUUbBORQwslmc9zBjlvYmgD1fEPLLTpts09Z59NkwRWSlYqbNhVcjfoLDPI1blxFHjnYigt80225Q51OMEP6zZcLuksMlHvNVCLlg8YtnHd5k5YdTisbvvvvvcBhNzTd4BfHsoxTIGo3LMxIX5PIX5JhtQhJ8hvmdw7RS1r1RfBESgfAQkAJaPm44SAReDBasAEiewSGjbtq1bXO23334p6WT6OHoTYSwNcG1lQjd16lSXhaxQSlRewfsm1h9CwHvvved+YgeRBRrWV0zMiKHInxFNiY2Da0yhT9TKw9RjguiC2Id4gqCCuzo7uAhZnvAMX2IMEQQf7rjB4kpYSCUsQ48bFhiMLdwCKcSwQQzg+UcgaNy4sRMDyLKMRSCTXKwvYIrA77kVFhLD4L2EZeodhyUAcSdZDCASsEAlCzDCPu9YFg3+gvCChRZWMCyGyYJL/UIqURmmu/eg6xXPOKLAlltuWfDvx/KOS48ZY49NEApjkz971qlYAWNZSSGZBc+7V7CuZDwG47MV0vjkXsKMUY8lsY3ZAOFbjfU0Y9ATZ/wxVLGyJu4vVpVkCUasZrMFUZDNv0L8pocVWrx5IvE+eefB7+WXX87qHs136LrrrnPf9kJOMIdQxwYw32ZcURkvfFeiFm+MMSfiOWaDlD9j5U/7hR4LMCmOfu4wo7A5j3iNdTWbAoX4PEcdb6ovAlVBQAJgVVDXOfOaAFY9xP1hdzBVIdU9Fiy4UIadKHj1EFoIQIzrAW7DhRCnKSleI0eOdDG/WGwhpOC6itXPxhtv7ETY0aNHu4xuWAYxqSD4NTwLgWFwnCXBlMkxgioioGcd4I1DrF2Id8dClsyNcGdSjeUL7taFIALGYciziWUAVgYIAlj84OaLqOJ3x8LahezUuF5R2PWGe6Em94nDlMy1LP5xbyNRAOILgoHnAgw/nmtcruGKezoCAf8Gf+KAFkJA8TgMM31YsVbFcpX3IYK/Z82W1x/jkBcfhynciHGF2MXYQ5QmBigFkYHNAL71uP4T04r6iIGMS6yzCIofxvo/5K3kRLUoPP3x6UikgnU5zy9/5jsOO08EmDdvnnvm2Zzi/YorMBlsiXOJleXYsWML6t1ZXqGFBF2wQxg944wznCVqpvApcMXikjh2sOY96+eeE4Mq5kW89tprzsqeRDx8g7lPMqKzoRTMNh3mVB5PhH7GIRvMJEibP3++m3cW4rwSLklz9LNmww5LdMRUvu/MPwuVY5gxpjoiUJUEJABWJX2dO+8I4ILGztWIESPctWOxh2UALn+4V/E7f8eCjw+p5xIU5kbZncXFhUnh9ddf7yYz+f5xTJoX4gkTV3YR/cUTrgh4fcstt7j+wIqAPii0Epept9jCKgABBeEKkYWFGgtcLC8QUZk0s9BjPPMbjFn8ImgRFDufS3kZeuMMLow1xFAWYAimuKB7xXtuvf8ngcDQoUOd5QvZBrEiKLRSXqYwYsGGKy+bJxTGGWMO6xYy26YqiCzEAMRimpAJJE1q0aJFXmMtL8NMN+2NQUJKwJJnnHGLIFAM1hflZerF+uL/Fy1a5BJXIABgfYWAwnOPRVAwwQ9u63yDiB1G5lBEq0wJWvJtwJaXJ/fJHIlnHKtoCgIqm3YI/mQThRvjlXcp70s2mhD3H3zwQWdVjXBNjNpCKOURWvxuvViSe6E78I4gMUimDWfmlCT24nvO/+MWXCiFdxuxDtkExsKZkBuIo8y/ic2J1WOcxDyI+DzXiPyMR+JT5vvcPFXfVzRHXP9JdEhoBFzR2fRTEQERqBoCEgCrhrvOmqcEbr75Zmf9R5ZU/kwMFi/Oz8yZM507pecqyW9YXIRdlLIzfuSRRzo3Vqzd0i188wldUryyTba831lEIKLiXoSABVOsrgqpxGXqLSKIXYUVgeda5TFiscvkGZGKSZpXcIXB6rUQYq3FYejx4xllQctCLF0ga29c4ipIQh+OZQLMQpcA93EWJbk2puMw5V4QBRiPngUH7m24BuPqn0qoYrH70EMP2XnnnecssnAJxkUzn0WtuAwzjQnGINa+uGDynWIDIJ9ZhR3/cZn6GWFBhZjPO5BNQGLUeaKL9/+IBLhbIjwQMgGxANGgUFjH5YnIwLzI/21BlPZcBElswTmIuUbxstXzZy8RQ76zTEJoYQOKb/gPP/zgrKbZmEtVvG8QYSiwUEfQ5j0LYzjme2IqvsHMmwnNQSHJBJvECJ7MZfDGgVWqpDPZ3iHeM803ied++vTp7hDEfUJ++K1bs81Rs52rqn+vSI7eZgqWlIMHD3Z9gfdEIc1/qrr/dH4RiEpAAmBUYqpftAQw/ScWFR8uJgPsZnkx+ryJALEtmHg88sgjjhMfPBJWYBGYboLgTTKuvfZa5/ZCEoHZs2eXsSzIN/AVxSsdB48jLh/sBrNIwyqILKyFUuIy9S+cBgwY4KwAmBwjauOWhTiA1RXWF1gVeAU3Vxa1iFeM9XwWr+Iy9CazXlBrLyttuoUUzLFWw61/4sSJbnGCBVEhlbhMYYHVLmMMa1RPDMBNCPfpdJYtWNEgTOOajhUm1ln5WuIyzLYAZYMKy10WymyK8JzzrSnkkiRTNuYIO4HwjwUV3+tg8d6vCFUIDxyDlTWL3kIocXl6DBCjEK8QVBHvsdoilAfW6Gx8EnrCe+YZp3haIKzCEWusfC5xhRbvOcdjhDGGGMW/wYn40+k2S/g+sQGAezWhUQiRUgjFC2XCmOGZxCqcjWAsTRHf+XfETjY9wmSpTceEtvk2kaiKWN9sTlEYp6wJsIzFMyVfw1BUBkfm4syBcP3FqjeYURmWcMTdv5iz1BfCc6l7yH0CEgBzv490hTlCgKQcxK9gUk/MNCZTqSZbU6ZMcXGBmJDhysKkFre/bOWAAw4w4o0ceOCBbpIWXPTydxZxiDF8IHO9VDSv4P17vBCpEGcpuG0VkgCYBFNvAYHwxzjFaor4aYxX3Fw89yysXFlsIRRSmNwSB5D/zyY25PLYTIJh1Ptj0bDzzju7IOxsIiAQBF0Ho7aZS/WTYsqilBhq3hgkGQiWVizc/O9a71lHsMaNCBEBt1Y2XPK1JMUw0/0TyxMBa9ddd3Vccb0s5JIkUxamWJdjcYUAyDgNWrB44/Ljjz923x02Vdhc4V1bCCUJnv5FP6Ie1n8kUfIST3mcvOeduGG8OzkOwRARO58tAMMILViIs/GRTrDy7p/Yf2w4Y7GPuzlWleni3ZGpmbAoJBzBO4U4trSf71ZYJOC77bbbnFcOMf/YnGR+wuYQlo6Ic3xHcNdnHEUt3lyH0DzM+YnRzVhkk5S/E4uW/3D1573ANcQRGqNeX1L1K5ojG8rEk8Yqk/ENJ/9zTPxUkoLwfOBpEtdtOykuakcECpWABMBC7VndV+IEEEhwT8Hdj48Uk6hUhY+aN8nCqoVFA7uHLPzTTVyZADNJ4SOIVVbQkoV/R9TC5Y3YgOxy5vokA+s7LCYqglemzu3Ro4eb/CEMeHGbEh8MVdRgEkyDQmmvXr3cIgwXIsRtCoI1WQaJF0SwdoQ/rF3ZRWeync+lIp/jdFxwv8Q6AxGBiW++MwzeZxLjkjZZWPFuxXqDhQJWQV4ygFSiMwtgkgbwLpwwYYJzy8rXUpHjku8O/8HSE/TZqGrdunVeiynZ+jqJcemNOxJNkeEbMR9hgUVsuoLY4MWzJGEDi9lCKEnw9M+Bgs90KktfXKmZ7yBW4w6MBXU+F4QWLMmIC1lewcpjiIBKLMrnnnvOWUiyAcL8kJioqeaazDHHjRvnNv0ImVAoBaaE4mFTzbtvnlM4e5a6zGfgzXw0qoDsjUvmQcyNsOjHehoLTOZNXgZwxH7esfma9KciOWI0QbxPCusjjCkofOcRULHS9Ny4CRHAOM539/RCeb50H4VJQAJgYfar7qoCCPh39YmfhBiSKegy7mxYCTApoS5ZVf0TFP8lYhZPwGvawwqwZ8+eaT+O+TLJqEheqbqXBRpZF2FOwSWQPshna7XgfSbFlHY9l3MmzliqUIglxESMha5XcPvChR3XX9yqmQRjSZSvJSmGYRcRWAxhBfzEE084ZJ4VS77yS3XdSTGlbXhhCYB1KgsAFlrEzArGUiUuE/EXEfm7dOniMrXms1VlUgwzjUv/M0/SlXx3p8z2DCXFlPOQSRWxhXFWq1YtJ6SkEpwRohFiGJ+eqzXWSYVQkuIZ9t3JhgkbVJMmTTI29mBfCKJAEkKLN69h7ohggjjLhh0u58yBvDEHa+ry/cH1ksI3nDA2YfshX8cu44YQPHwjdtxxR7fxFjWJjJ8RIiseOjzjzIf4jcK3iQ2BqG3nC9c4HIOheZhbktUbi1Q26plv8i6l4F3C3wuVY770t66zOAhIACyOftZdJkCAXSsmUFjjYc3DhCuT+wQ7W+y4EjiYhQKTtGD2VG9ywU4lSReYtLELhhsDrlpMKvwfR/6OG0c+lIrg5d13UNTDBRCXDNxhsKYksQUiAlkbC6kkyRROjEtcW4ITLyZtjG3GJ9aBiDG4sWExhBUq/5+vJUmGQQbBcYkF8MMPP+wselkwYDmEu3WhlaSZMu6ImYirNExZYCFO8/4lfhjCAGI/CzGSBRAbLF/ei+n6PmmG/vN445L4Y57lhecynWkTK9/HadJMeQfyXWEMIkghCOIVwAYK3yDEGOLP4ibYtGlT9/1O5ymQj2yT5ulnEByHfJd4xrFY9bwI2HgqZNGqvEILc0Tmj8QD5LuNgMLf8YIgYz2u22yG8v/EU+Qbzhyz0AsiE5v1iIC//fabe15x0yU7cJTCmCOxHO9PREQvhi8bTmzsE3amkEtcjsx9WPvgJn3ccce5scl70tsUZUMFjvkcwqOQ+1/3VpgEJAAWZr/qriqIAMIHMWlwQ2Ei0Llz54wTUoLY427BpAwRgIyVweC2LM5wJcBViMUCu7csztilpeTzx7EiePm7FqsMJmZw9iYTCAFMdgst+69330kyZXKMxZU/RqV/IeZfbBG0GUvWQihJMgzygBlWk4zLBx54oGRcImghIBCrqRBLUky98QdDFgW8C72EK7w7sVhFHKAQcB0XQdgWQkmKYToWfLuw/MElnW8Nm1iFXpJkyuYfAv7jjz/usOHqh9iC6zpjFEtVCtlWmR8Uiuuvf4wkyTM49nj2iWdHrGP/uxPRBhfOQhetogot/u8zLv1kw8W6irFIFnX+I2Y0lpsUNvpIvoLFdLEUYgASVof5NSEleC5xRQ1rSYqwj+Up/+FqTcIpCmIiG85eIsBC5xmH45w5c9xaif/faqutXMIv/qMQwoP5Ot91FREQgcojIAGw8ljrTHlMwFuUEoeP3T52/hDqsOjJFIuPbL4suNg5Z9JFnCcEPX9hgkFWMSZpJPdYvny54c6azx/HiuIFK4QVkgQwIcGKjT97kzLihmCtls+ugOkek6SYsuhPNdkKZmTzrqOQXKiTYhh8jhl/LFxHjRrlxicTXeJV4TJEITM174tCzGxXEUz9C1tiB7EZQoIQxOpGjRq5xRubJjAthIVDRTBM9R7hu9KqVSs3Pjt16uSSWbEoLsSSJFO+J561P+IpYhSCQrBgLc2Cls2+QhiX/vtLkmeqORChEbAKwtqP+ZL3TYc1G1S4txZDKY/Q4n2jcTt/8sknXbxoMuFSmJ/iCYG7PyyD7AudKWx4VgnDQaw+RHkEp7AbcX43dFhhyYZlLy7FxVTicGRjhOzefLe9zbxi5VhMY0b3mtsEJADmdv/o6nKMALuruPx4Ga2wUMHNIl1BAGCXkAkHBZc1koL4RRXcMshO5gVqL6RJRtK82CHH0g+rSgoLLkQVko0QGzHspC7HhlWky0mKqV9kKWS3qlRwk2LoPce4F5FB+aSTTio5HdZBZAlEkNa4LNsLYd6N/qPYIOH5hzkuXFHduCI9ZFVUOelxmUrAIds8YjUhE7bffvsqutPKO21STP2W0YhT8CPrKvHccEMnfAcu6k2aNKm8m6uCMyXF0z8H4s+IKmyU8GesqnD3RbAqhnenvxvjCC1eO1hPMzaxmGRDmc1nf1zfKhg2KU/pzTsqev7BRjEheEgaxXeZJD3ESmTumO3c8OMbTiiP+++/383/c63kOsfRo0c77xE2nognTZy/QrSOzrVxoesRgUwEJABqfBQ8gSQ/jixacSHwEk0QVB2LQFwt0k0kHnnkEZd9jGOxDCA5RXBhe/LJJ7v4IkzSCM5elR/HXOdFTEUviyoLL+IsenGtcnUw5zrTXOXmv65cZ8imAM8uMZdYtCK0YNmbyyXXmcIu2wKtqvnmA0OPEeIC4kCui6e5zDTVxgkbAJk8ATRG08+BPJ54S2DNj+Vahw4dcjKER5LjMtOYKK9g5W0ih3VvrepxiUUyLsqVURBE8djxEtnwrWYz3l/YYMLSNPjNYUximZqrJVc5epsmK1eudFl9cf8l/p+KCIhA1ROQAFj1faArqGACSX8cEepwJyDgN8HpCVLNYj9YvEkEAcNZcLH4QrhCDPTvfuN6SVwWJm1MUKq65Dov+MCM//LFLSgfmFb1uMt2/nxgyEIBMQBX/nwo+cA01zmKYfI9lC9M8yU8Qr7wzPWENElzzPTkxBGskn8ik23x+eefd4lIEIawKCU+XLdu3ZzFPEJ6kps+XlvEnCOerLd5z0b8xRdf7ARI5ujM6xGhie3HXDzJa0iW3prW8oEjCUCwusz1Z7ui+kjtikCuEpAAmKs9o+uKTaCiPo64/zz66KPWt29f91EjFhWTCWIrBRcE/I7FBVZqBLYmGxlxbrziTTJyYSGRD7xiD4pKbkBM4wMXw/gMgy2IaXymYhifocZl8gz9LWqMJsO3ojimurpCFqywkj/33HNdrNxgQXQ78MAD3Yb6DjvskEzHBVohey/xJBFXydKNW/Cmm27qYnPj0j9r1iyXeTrXs/qKY4UMDzUqAkVFQAJgUXV3cdxsZXwcCQx8+eWXu7gguAbgsnvfffe5mCuIeQQM94KGE9C6R48eq70ElQAAIABJREFU9ssvv9gLL7zgJjm5VMQr+d4Q0/hMxTA+w2ALYhqfqRjGZ6hxmTxDf4sao8nwrQyOma60UAQr7vHTTz91MXLxnCFe5vHHH+/mziTmeOutt4wEJhSyTN9zzz3ODTxMwcKMxCmE4SH7diZRlboklPJC8hA6hn+DM4Ws8lgmktk7V4s45mrP6LpEIL8ISADMr/7S1WYhUNEfR9wFiGNBwXWha9euNm/ePPf38847z8X482egJWslWQHZXdx6663ttddecwHDPXGwqjtUvJLvATGNz1QM4zMMtiCm8ZmKYXyGGpfJM/S3qDGaDN+K5lgsgpXXG8R+IwQOiYduv/12l5iE7MQUYh4iyo0cOdLFymbDnJhxuAVn8o6hjxALBw8e7GLL9e/fP2uW4/Hjx7tkM2zMMw/H4pJCog829XNlbp5uFItjMs+3WhGBYicgAbDYR0CB3X9lfBzJNlu7dm1HDleG008/3cUOoZDaHtfghg0buvgmTz31lLMMRBQkY3CfPn1yirh4Jd8dYhqfqRjGZxhsQUzjMxXD+Aw1LpNn6G9RYzQZvpXBsRgEK3qDMDhY9JEFlvjZZOHFW4bCPBkh8Ouvv7Z7773XJdIitjNhcwi1w1w6KAISs++///2vyyZLRnMKYXjIGk28uVSFzfj333/fnnnmGRs2bJgRE5DSq1cvl4E61xMjiWMyz7VaEQERWE1AAqBGQsEQqKpJBiIfO5Ckuqcg9pFNDGtBkgJQ2M1kslenTp2c4S1eyXeFmMZnKobxGQZbENP4TMUwPkONy+QZ+lvUGE2Gb1Vx9F99IQhW3v3g9tuxY0f313HjxlmnTp1SJoUgvjZWf5MmTXLzaJLiXXvttSUJOUiw9dJLL9mtt97qLPgoO++8sxPw9txzz7SdP23aNCf6Pfvss4ZbN6VNmzauHSwR86WIY770lK5TBHKfgATA3O8jXWFIApX9cfRnCVu8eLGz8Bs+fLhNnz7dCX3sYrZs2dLtSu6xxx4h76LyqolX8qzFND5TMYzPMNiCmMZnKobxGWpcJs/Q36LGaDJ8K5tj8KoLRbDy7gurO2L+rbPOOvbAAw/YEUccUaajPCs/rPSIzcffsf7DLbhdu3auPi6/O+64o/tzgwYNXEI94gpSmI/zH8lEggVPnZ49e7p/rl+/vjvu5JNPTmawVGIr4liJsHUqEShwAhIAC7yDi+n2qurj6HdPWLRokYsNWL16dVu1apXtsssuOdsF4pV814hpfKZiGJ9hsAUxjc9UDOMz1LhMnqG/RY3RZPhWFUfv6gtFsPI2ySdMmOCs/ihPPPGEHXnkkSlj+3n1iadNvEBK7969nbuvV0444QSXRIRswcyzKcy1PZfidCOAeN0Iif7jkhktFd+KOFY8Y51BBIqNgATAYuvxArzfXPo45gNe8Uq+l8Q0PlMxjM8w2IKYxmcqhvEZalwmz9DfosZoMnxziWM+CVZ+b5hUPYHlHqIfmX4POeQQF4cvVfE203F/JhswyUE23nhjFwtw3333dYf88ccfzpIwrPDniYO4D3uCYTKjJflWxDF5pmpRBEQgNQEJgBoZeUMglz+OuQhRvJLvFTGNz1QM4zNMJ6ika7kqF2DJ323FtKhxmTxXMU2WqXgmwzOXOeaDYIWXCy69hx9+uJ177rlZLfAWLlxoRx11lI0ZM8aFx3njjTdc7L5UGX49gQ8LQCwBiQV44okn2h133OHce72+y5QdOJlRUvGtiGPFM9YZREAEJABqDOQZAX0co3WYeEXjFaa2mIahlLmOGMZnGGxBTOMzFcP4DDUuk2fob1FjNBm+4pgMR8RJknJcffXVrsG6des6K70aNWqkFPOo4wl2xMLmuFq1atkpp5ziEnCkKl59hMDGjRvbvHnzbJ999rG77rrLmjVrlsyNVHEr4ljFHaDTi4AIKAuwxkDuEdDHMVqfiFc0XmFqi2kYSpnriGF8hsEWxDQ+UzGMz1DjMnmG/hY1RpPhK47JcKQVRNRBgwbZkCFDXKO1a9e2X375xc4++2wXry+dRZ737z/++KM1atTIVqxYYW3btnXHkLk31XHevxGvr3///s5qcPz48daqVasSQTG5O6vclsSxcnnrbCIgAqkJyAVYIyOnCOjjGK07xCsarzC1xTQMpcx1xDA+w2ALYhqfqRjGZ6hxmTxDf4sao8nwFcdkONIKye0GDhxojz32mH3//ffWpEkT+/XXX23+/PnuJDNmzLDtt9++VHw+/9k9t14sALEERNA7+uij7fbbb7f11lsvraj3wgsvWJ8+fWzBggV20003OZfgfC7imM+9p2sXgcIiIAGwsPozr+9GH8do3Sde0XiFqS2mYShlriOG8RkGWxDT+EzFMD5DjcvkGfpb1BhNhq84JsORVlauXGkXXnih3Xnnna7RHXbYwQmBiHMIeEuXLrUePXrYiBEjsp6Uftltt91s1qxZTkS87LLL7LjjjksrAE6dOtU6dOjgYgxef/31TgDMFr8x60VUUQVxrCLwOq0IiEBKAhIANTBygoA+jtG6Qbyi8QpTW0zDUMpcRwzjMwy2IKbxmYphfIYal8kz9LeoMZoMX3FMhqO/ldNOO82GDRtmBx54oHPdbdiwoYvNd9hhh9kHH3zgLP9eeukl23///bMmBHn88ced6Ecm33bt2tmTTz5p22yzTSnrQU/kI74gAuDcuXPtuuuus379+iV/c5XYojhWImydSgREICMBCYAaIDlDQB/HaF0hXtF4haktpmEoZa4jhvEZBlsQ0/hMxTA+Q43L5BlKaEmeqZ71ZJh6sfimT59uo0aNsp49e1rz5s2dVSCuu4MHD7YrrriixC34888/dyfOZqWHkDh8+HBX9+CDD7Znn3225IL9xz711FMuezDZf998803r1KlTMjdWya2IYyUD1+lEQASyEpAAmBWRKlQ0AX0coxEWr2i8wtQW0zCUMtcRw/gMgy2IaXymYhifocZl8gz9LWqMJsNXHONzTJfMY9myZVazZk13Aq/Ob7/95qwA33jjDePPXpw+L+Zf8Gq8f//666+dteCXX37pLAYvuugiZxW40047lRwyZ84cO/fcc+25556z1q1b2+uvv27169d3YmA+FHHMh17SNYpA8RKQAFi8fV+ld66PYzT84hWNV5jaYhqGUjjRL1hLi4Xys9W4LD8770gxjM8wneinZz0Zthqj4pgMgfK38vPPP9snn3xSIuyRZTds8cbvK6+8YmeeeaYh2GEVSGIQhLpsWYGff/55u+uuu5xlH8IiGYKJCVi9enUnCv73v/91bsUNGjRw8QexBMzVIo652jO6LhEQgXQEJABqbFQ4AX0coyEWr2i8wtQW0zCUMtcRw/gMgy2IaXymYhifocZl8gz9LWqMJsNXHJPhSCuIarjwks2XGHuIdrjYIrT17t070olwuR46dKj98ssvdsopp9iQIUPSCoCeiy//j/h46qmnGsk+VqxYYWuttZZzHyY+INaCNWrUsBtuuMHOOuss91suFnHMxV7RNYmACGQjIAEwGyH9HouAPo7R8IlXNF5haotpGEqZ64hhfIbBFsQ0PlMxjM9Q4zJ5hv4WNUaT4SuOyXAkaQfZdMeNG+ca3HDDDW3x4sVOcPMKrrf8h1VeOks+6nouvR999JEdffTRRqxAyvvvv29t27bNmhCEuiT6GDlypN133302bdo022KLLVwbXbp0cfEFuYZcLOKYi72iaxIBEQhLQAJgWFKqF4mAPo6RcLlMapqURWOWrbaYZiOU/XcxzM4oag0xjUqsbH0xjM8w2IKYJstUPJPhKY7JcKSVpUuXGtZ6JNdo3Lixm3O2aNHC6tSpY0888YS9+uqrTsTDAo8YfSTnCBtz75prrnEZghET99xzTxs7dmykC8cC8LvvvnNuxCQZITNwrhZxzNWe0XWJgAiEJSABMCwp1QtNQB/H0KhcRfGKxitMbTENQylzHTGMzzDYgpjGZyqG8RlqXCbP0N+ixmgyfMUxGY6eFd8999xjffv2dQLfQw895Fx9+bPnXov4d8ghhxhJOojDd+WVVzr324YNG6a9EK/thQsX2qGHHmqTJk1yxz755JPWq1cv92f/OZK5o6ppRRyrhrvOKgIikDwBCYDJMy3aFvVxjNb14hWNV5jaYhqGUuY6YhifYbAFMY3PVAzjM9S4TJ6hv0WN0WT4imMyHIOtIMg988wz1r17d2ftl2rsktSDbL5jxoxxwt/1119vxx9/vK277rpZRUBExX79+tmCBQucKy+xBf3lxx9/dBaF9erVq5gbrKRWxbGSQOs0IiACFUZAAmCFoS3ehvVxjNb34hWNV5jaYhqGUuY6YhifoRZgYpg8geRb1LOeLFPxTIanOCbDkVZwr91nn32ci++xxx5rjzzySKn4fv7kHMOGDbOLL77YZfbt2rWrswTErTdd8Y4lJuARRxxhI0aMcEk9rr76auvfv7/98MMPLtHHc889Z02aNHGCIklH8rGIYz72mq5ZBEQgSEACoMZEogT0cYyGU7yi8QpTW0zDUMpcRwzjMwy2IKbxmYphfIYal8kz9LeoMZoMX3FMhqO/lR133NE+/fRTO+OMM+zuu+8uk+DDE/KWLFlid911l11++eXOPficc86xSy+91Bo0aOCy9KbKyOslBHnttdesT58+zo2YeoiBJPcgxuCUKVOsVq1aRp3dd989+RuspBbFsZJA6zQiIAIVRkACYIWhLd6G9XGM1vfiFY1XmNpiGoZS5jpiGJ9hsAUxjc9UDOMz1LhMnqGEluSZ6lmPzjRd1l6s8I466ih7/fXXrXnz5vbOO+9Y3bp10wp6X3zxhZ166qkuW3DLli3thhtusJ49e6a9IP95//nPf7oYg7/++qvL4jtv3jx33Prrr29XXXWVXXjhhdFvrJKPEMdKBq7TiYAIVCoBCYCVirtwTqaPY7S+FK9ovMLUFtMwlDLXEcP4DIMtiGl8pmIYn6HGZfIM/S1qjCbDVxzjccSll/h8ixYtMgTT2rVru6QbqSz1SPpBBmDccG+55RY74IAD0p6c5B2PP/64/eMf/3B1LrroImcFSMbgTAXX3wceeMC5/5IRGMtACtmHiSeYq/H/xDHeONTRIiAC+UVAAmB+9VeVXa0+jtHQi1c0XmFqi2kYSpnriGF8hsEWxDQ+UzGMz1DjMnmG/hY1RpPhK47JcJw8ebKzyvvkk0+M5BoIgM2aNbM2bdrYgAEDbJtttnEuuAiBiKyIgrjj7r///u4CiOt3/vnnO5fcdGXmzJn2r3/9y4YPH27bb7+9vfHGG7b55punrP7zzz/bhx9+aC+++KI9++yzzgWYQuzA22+/3V1XLhZxzMVe0TWJgAhUNAEJgBVNOM/b18cxWgeKVzReYWqLaRhKmeuIYXyGwRbEND5TMYzPUOMyeYb+FjVGk+ErjslwxJX3kksusfvvv981WKNGDVu+fLmzAvz999/dv3Xr1s1wwz3ooINKWQJ+8803dvTRR9v48eNtt912c5Z6LVq0SHthtHfbbbc5az7ceR988EE74YQTnFUfgqJXqEfikOuuu87FGKTg+ks2YZKC5GIRx1zsFV2TCIhAZRGQAFhZpPPsPPo4Rusw8YrGK0xtMQ1DKXMdMYzPMNiCmMZnKobxGWpcJs/Q36LGaDJ8xTEZjrSCcIf49/bbbzvrvpNPPtn23ntvF1sPcQ8Rjph9iIF77LGHy/SLEOcJdsuWLXPWeJdddpmzChw4cKCdffbZTkQMFs+F+M0337STTjrJZQRGUMS6L5gEhLZwF0YcpFx77bXuOnO1iGOu9oyuSwREoLIISACsLNJ5dB59HKN1lnhF4xWmtpiGoZS5jhjGZxhsQUzjMxXD+Aw1LpNn6G9RYzQZvuKYDEdamTVrll1wwQX2/PPPO6s9BLYDDzzQiX+eIEf2XuL8kWV3ww03dHH7OMZfSP7Rr18/JxRuu+22TiTs2LFjxgtt1aqVffzxx3bYYYfZ0KFDbe211y4jAs6fP9+efvppVyedm3ByNMrfkjiWn52OFAERKBwCEgALpy8TuRN9HKNhFK9ovMLUFtMwlDLXEcP4DIMtiGl8pmIYn6HGZfIM/S1qjCbDVxyT4UgrxNc75JBDDGu8mjVr2j333ONcaxH/KFjr8R/C3NSpU61t27bu30m8ceuttzoLP8+ib+XKlS4ByI033mgIhlgRktyDmIHBQiKQatWquXZwFyZ78EcffeT+LR+LOOZjr+maRUAEKoKABMCKoJqnberjGK3jxCsarzC1xTQMpcx1xDA+w2ALYhqfqRjGZ6hxmTxDf4sao8nwFcdkOHqt4MKLtR7u1HfeeWdJZt7gWRD5cPPFVRexsH379obFn1c8EZA4fbjpPvHEE05QxJrwrLPOsrp16zrXYIREf+natauNHTvWZQ1+5plnXPy/YJ1k77hiWhPHiuGqVkVABPKPgATA/OuzCrtifRyjoRWvaLzC1BbTMJQy1xHD+AyDLYhpfKZiGJ+hxmXyDP0taowmw1cck+HobwWXXRJyINph+eeJecEzrVixwjp16mRTpkxxmXfJ3FuvXr0yF4SbMFmAce1t2rSpi/N38cUXlxIAOce0adNc5mBiDJIRGIvCfC7imM+9p2sXARFIioAEwKRIFkg7+jhG60jxisYrTG0xDUMpcx0xjM8w2IKYxmcqhvEZalwmz1BCS/JM9awnz/THH3+0Bg0apG3YS/bRvXt3e/31111sv7feeqtUfU84JHPv8OHD7dBDD3W/E0fw3nvvtb///e+26aabGkLiokWLbNCgQXbXXXfZdtttZ88995zttNNOyd9YJbcojpUMXKcTARHIOQISAHOuS6r+gvRxjNYH4hWNV5jaYhqGUuY6YhifYbAFMY3PVAzjM9S4TJ6hv0WN0WT4imMyHP2tpHLR9f+OaNeuXTubN2+e9enTx8ULTGctyHG4Ag8ZMsTVr127tssaTAbhOnXq2MSJE91/uPsOGDDAzjvvPOf+G8wCnPxdVnyL4ljxjHUGERCB3CUgATB3+6ZKr0wfx2j4xSsarzC1xTQMpcx1xDA+w2ALYhqfqRjGZ6hxmTxDCS3JM9WznjzTTC2SfAXLv++++8656+K2m6p4/YIlINaCZAsmNiBiIQWRjz83bNjQJQ057rjjKvdGqvhs4ljFHaDTi4AIVCgBCYAVirdwG9fHMVrfilc0XmFqi2kYSpnriGF8hsEWxDQ+UzGMz1DjMnmG/hY1RpPhK47JcPRaGTNmjHXr1s39FfdfxMBMFoDecV9//bWr//zzzxuuxLVq1XIxBEkOQqKQYiviWGw9rvsVgeIiIAGwuPo7sbvVxzEaSvGKxitMbTENQylzHTGMzzDYgpjGZyqG8RlqXCbP0N+ixmgyfMUxGY5eKyTyIG5fkyZN7O2337aNNtoo0gk8y8Dly5dbjRo1Ih1bSJXFsZB6U/ciAiIQJCABUGOiXAT0cYyGTbyi8QpTW0zDUMpcRwzjMwy2IKbxmYphfIYal8kz9LeoMZoMX3FMhiPCHW67PXr0cC69Bx10kD3zzDMufl/UEsZiMGqb+VJfHPOlp3SdIiACcQhIAIxDrwiP1ccxWqeLVzReYWqLaRhKmeuIYXyGwRbEND5TMYzPUOMyeYb+FjVGk+Erjslw9FpBtCNzb4sWLQx33quuusouu+wySxWDkUQhG264Ycrfkr2q/GtNHPOvz3TFIiAC0QlIAIzOrKiP0McxWveLVzReYWqLaRhKmeuIYXyGwRbEND5TMYzPUOMyeYb+FjVGk+Erjslw9LeCy++ee+7p/mnEiBHOGtBvzUem34cfftiGDRtmL7/8sm255Zah4gMmf6W53aI45nb/6OpEQATiE5AAGJ9h0bWgj2O0LhevaLzC1BbTMJQy1xHD+AyDLYhpfKZiGJ+hxmXyDCW0JM9Uz3qyTC+//HK79tprbauttrLRo0db48aN3Ql++ukne+mll+ymm26yqVOnun/LlCE42avKv9bEMf/6TFcsAiIQjYAEwGi8VNvM9HGMNgzEKxqvMLXFNAylzHXEMD7DYAtiGp+pGMZnqHGZPEN/ixqjyfAVx2Q4rlq1yqpVq2aHHnqoy+JLFmDiAPLvZPZF7EMApDRq1Mhuvvlm69WrVzInL6BWxLGAOlO3IgIikJGABEANkNAE9HEMjcpVFK9ovMLUFtMwlDLXEcP4DIMtiGl8pmIYn6HGZfIM/S1qjCbDVxyT4ehv5Y8//rDtt9/eZs6caf369bMzzjjDBgwYYEOGDHGx/ihXX3219e/fP/mTF1CL4lhAnalbEQERSEtAAqAGRyQC+jhGwmXiFY1XmNpiGoZS5jpiGJ9hsAUxjc9UDOMz1LhMnqGEluSZ6llPlumECROsS5cuLutv+/btbfbs2TZ37lx3kqOOOsoGDRpkm2++ebInLcDWxLEAO1W3JAIiUIaABEANikgE9HGMhMvEKxqvMLXFNAylzHXEMD7DYAtiGp+pGMZnqHGZPEN/ixqjyfAVx2Q4eq3ccccddu6559p6661nv/32m/vnXXbZxW677Tbr2LFjsicr4NbEsYA7V7cmAiJQQkACoAZDJAL6OEbCZeIVjVeY2mIahlLmOmIYn2GwBTGNz1QM4zPUuEyeob9FjdFk+IpjMhy9Vj7++GNr1aqV+2v9+vWdxd9JJ52U7EmKoDVxLIJO1i2KgAiYBEANgkgE9HGMhMvEKxqvMLXFNAylzHXEMD7DYAtiGp+pGMZnqHGZPEN/ixqjyfAVx2Q4+lsh+ccOO+xgt9xyi1WvXj35ExRJi+JYJB2t2xSBIiYgAbCIO7+8t66PYzRy4hWNV5jaYhqGUuY6YhifYbAFMY3PVAzjM9S4TJ6hhJbkmepZT5YpcRXXWWedZBstwtbEsQg7XbcsAkVGQAJgkXV4Ererj2M0iuIVjVeY2mIahlLmOmIYn2GwBTGNz1QM4zPUuEyeob9FjdFk+IpjMhzVigiIgAiIgAhEISABMAot1RUBERABERABERABERABERABERABERABERCBPCMgATDPOkyXKwIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJRCEgAjEJLdUVABERABERABERABERABERABERABERABEQgzwhIAMyzDtPlioAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEAUAhIAo9BSXREQAREQAREQAREQAREQAREQAREQAREQARHIMwISAPOsw3S5IiACIiACIiACIiACIiACIiACIiACIiACIhCFgATAKLRUVwREQAREQAREQAREQAREQAREQAREQAREQATyjIAEwDzrMF2uCIiACIiACIiACIiACIiACIiACIiACIiACEQhIAEwCi3VFQEREAEREAEREAEREAEREAEREAEREAEREIE8IyABMM86TJcrAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAlEISACMQkt1RUAEREAEREAEREAEREAEREAEREAEREAERCDPCEgAzLMO0+WKgAiIgAiIgAiIwP+3d3chXlR9HMB/tRpsqW0Zva2iorYYWeL2opGkCF0YVmZFsIomW0JREGRCBOWVItobYii+ZVZohBUkRZK1VKhoGmR11bZEGpZibIIU5sPMQ/vks2u7qx3P/vUzd7tzZr5nPjNXX+b8hwABAgQIECBAgACB7ggoALujZSwBAgQIECBAgAABAgQIECBAgACBChNQAFbYDTNdAgQIECBAgAABAgQIECBAgAABAt0RUAB2R8tYAgQIECBAgAABAgQIECBAgAABAhUmoACssBtmugQIECBAgACBkxF49tlnY968eeWhx44dO5lTOIYAAQIECBAgQKBCBRSAFXrjTJsAAQIECBAg0B0BBWB3tIwlQIAAAQIECJxZAgrAM+t+uhoCBAgQIEDgLBNYs2ZNPPDAA+VVNzc3x+DBgzsUUACeZQ+GyyVAgAABAgQI/E1AAehxIECAAAECBAhUsEBXC8AKvkRTJ0CAAAECBAgQOEUBBeApAjqcAAECBAgQIJBTQAGYU182AQIECBAgQKAyBBSAlXGfzJIAAQIECBAg0KGAAtCDQYAAAQIECBAg0JmAArAzIfsJECBAgAABAj1Q4OOPP44JEyZ0OrMtW7bE+PHjo7PfACx+O7ClpSVmzJgRRan4xRdfxOLFi6OpqSl++eWXqK2tjTvuuCOeeuqpuOSSS9pyP//883j++edj27ZtsX///nLcPffcE08//XT07dv3H+dXfI34rbfeijfeeCO2b98eP//8c1RXV8fw4cNj8uTJ8eijj0ZNTU2n12gAAQIECBAgQIDAPwsoAD0hBAgQIECAAIEKFEhZAE6cODEaGxvj999/bydz1VVXxSeffBKXX355LFq0KJ588skoirz/30aPHl2O69OnT4e6Rdk3ZcqU+Oyzz06of9lll8U777wTN910UwXeIVMmQIAAAQIECPQcAQVgz7kXZkKAAAECBAgQ6LLA4cOHy6/+FgVZ8bZdsX3wwQdx5ZVXHneOIUOGxAUXXNDlNwBHjRoVX3/9dQwbNiyeeOKJGDlyZLS2tsaqVati3bp15bkbGhpi6tSpcffdd8eYMWPKN/Xq6urKNwVfeuml2LRpUzlu7ty5sWDBgnbXVMz9hhtuiG+++SbOO++88ivGkyZNioEDB0axr3jr8LnnnosDBw7ERRddFLt27YpBgwZ12cZAAgQIECBAgACB4wUUgJ4IAgQIECBAgEAFC3T1NwC7ugS4oLj55pvjww8/jPPPP/84mfvuuy/efPPNqKqqigsvvLBcgrx+/fry77+2o0ePxi233BJbt26N/v37x08//RS9evU67jxFYbhkyZLyHJs3b47rr7++3R0oliOPHTs29u3bF9OmTYtXX321gu+SqRMgQIAAAQIE8gooAPP6SydAgAABAgQInJJAigKweANwxIgR7eb192VdDhP7AAAJ2klEQVTHRTn4ww8/xMUXX9xu3OrVq2PWrFnl/7/88su49tpr28YUbwkWb/odOXIkXnzxxXjsscdOeP0vv/xyPPzww9G7d+84dOhQu0LylOAcTIAAAQIECBA4iwQUgGfRzXapBAgQIECAwJkn8G8XgNddd13s3r27Q6iDBw+Wb/UV25133hlvv/12h+OKD4jU19eX+zZu3Bh33XVX27jXXnutfKOv2Iq3+4rfEjzRtmfPnrjmmmvK3cWy4HHjxp15N9AVESBAgAABAgROg4AC8DQgiyBAgAABAgQIpBL4twvAe++9NzZs2NDhdP/888+25b5z5syJhQsXdjjuu+++i6FDh5b71q5dG9OnT28b9/jjj8cLL7zQbY5iTsXcbAQIECBAgAABAt0XUAB238wRBAgQIECAAIEeI/BvF4AzZsyI4pwn2s4555xy1zPPPFN+WKSj7fvvv4/i4yPFViwHnjlzZtuw4gMir7/+erf9ijkVc7MRIECAAAECBAh0X0AB2H0zRxAgQIAAAQIEeoxApRWA999/f/nhkOLrvzt37uyy44ABA6KmpqbL4w0kQIAAAQIECBD4n4AC0NNAgAABAgQIEKhggUorAB955JFYunRpKb5379644oorKljf1AkQIECAAAEClSGgAKyM+2SWBAgQIECAAIEOBV555ZW2JbbNzc0xePDgDscVy3XnzZtX7jt27Fi7McVxLS0t5TLblEuAV6xYEQ8++GCZb1mvh5oAAQIECBAgcHoEFICnx1kKAQIECBAgQCCJQLGctlhWW2zffvtt1NXV9egC8Mcffyx/H/CPP/6I4ovDO3bsiF69eiWxcVICBAgQIECAAIH/CigAPQkECBAgQIAAgQoWaGpqiltvvbW8gvfeey8mTZrUowvAYnKzZ8+O5cuXl/OcNWtWLFu27IQl4P79++Pdd9+NxsbGCr5Lpk6AAAECBAgQyCugAMzrL50AAQIECBAgcEoCra2tcemll8aRI0di9OjRMX/+/HIZ8Lnnnluet7a2Nqqrq8sv9vaEJcDFnH777bcYO3ZsfPXVV+Ucr7766njooYeivr4++vTpE4cOHYo9e/bE5s2bY9OmTTFy5MjyTUEbAQIECBAgQIDAyQkoAE/OzVEECBAgQIAAgR4jMHfu3Fi4cGGH89myZUuMHz++RxWAxUQPHjwYDQ0N8f7773fqOGHChPjoo486HWcAAQIECBAgQIBAxwIKQE8GAQIECBAgQKDCBYqPeqxcuTLWrl1bvjn366+/xtGjR8ur6qkF4F/kRbG3bt26+PTTT2Pfvn3lm4z9+vWLoUOHxo033hi333573HbbbVFVVVXhd8n0CRAgQIAAAQL5BBSA+ewlEyBAgAABAgQIECBAgAABAgQIEEguoABMTiyAAAECBAgQIECAAAECBAgQIECAQD4BBWA+e8kECBAgQIAAAQIECBAgQIAAAQIEkgsoAJMTCyBAgAABAgQIECBAgAABAgQIECCQT0ABmM9eMgECBAgQIECAAAECBAgQIECAAIHkAgrA5MQCCBAgQIAAAQIECBAgQIAAAQIECOQTUADms5dMgAABAgQIECBAgAABAgQIECBAILmAAjA5sQACBAgQIECAAAECBAgQIECAAAEC+QQUgPnsJRMgQIAAAQIECBAgQIAAAQIECBBILqAATE4sgAABAgQIECBAgAABAgQIECBAgEA+AQVgPnvJBAgQIECAAAECBAgQIECAAAECBJILKACTEwsgQIAAAQIECBAgQIAAAQIECBAgkE9AAZjPXjIBAgQIECBAgAABAgQIECBAgACB5AIKwOTEAggQIECAAAECBAgQIECAAAECBAjkE1AA5rOXTIAAAQIECBAgQIAAAQIECBAgQCC5gAIwObEAAgQIECBAgAABAgQIECBAgAABAvkEFID57CUTIECAAAECBAgQIECAAAECBAgQSC6gAExOLIAAAQIECBAgQIAAAQIECBAgQIBAPgEFYD57yQQIECBAgAABAgQIECBAgAABAgSSCygAkxMLIECAAAECBAgQIECAAAECBAgQIJBPQAGYz14yAQIECBAgQIAAAQIECBAgQIAAgeQCCsDkxAIIECBAgAABAgQIECBAgAABAgQI5BNQAOazl0yAAAECBAgQIECAAAECBAgQIEAguYACMDmxAAIECBAgQIAAAQIECBAgQIAAAQL5BBSA+ewlEyBAgAABAgQIECBAgAABAgQIEEguoABMTiyAAAECBAgQIECAAAECBAgQIECAQD4BBWA+e8kECBAgQIAAAQIECBAgQIAAAQIEkgsoAJMTCyBAgAABAgQIECBAgAABAgQIECCQT0ABmM9eMgECBAgQIECAAAECBAgQIECAAIHkAgrA5MQCCBAgQIAAAQIECBAgQIAAAQIECOQTUADms5dMgAABAgQIECBAgAABAgQIECBAILmAAjA5sQACBAgQIECAAAECBAgQIECAAAEC+QQUgPnsJRMgQIAAAQIECBAgQIAAAQIECBBILqAATE4sgAABAgQIECBAgAABAgQIECBAgEA+AQVgPnvJBAgQIECAAAECBAgQIECAAAECBJILKACTEwsgQIAAAQIECBAgQIAAAQIECBAgkE9AAZjPXjIBAgQIECBAgAABAgQIECBAgACB5AIKwOTEAggQIECAAAECBAgQIECAAAECBAjkE1AA5rOXTIAAAQIECBAgQIAAAQIECBAgQCC5gAIwObEAAgQIECBAgAABAgQIECBAgAABAvkEFID57CUTIECAAAECBAgQIECAAAECBAgQSC6gAExOLIAAAQIECBAgQIAAAQIECBAgQIBAPgEFYD57yQQIECBAgAABAgQIECBAgAABAgSSCygAkxMLIECAAAECBAgQIECAAAECBAgQIJBPQAGYz14yAQIECBAgQIAAAQIECBAgQIAAgeQCCsDkxAIIECBAgAABAgQIECBAgAABAgQI5BNQAOazl0yAAAECBAgQIECAAAECBAgQIEAguYACMDmxAAIECBAgQIAAAQIECBAgQIAAAQL5BBSA+ewlEyBAgAABAgQIECBAgAABAgQIEEguoABMTiyAAAECBAgQIECAAAECBAgQIECAQD4BBWA+e8kECBAgQIAAAQIECBAgQIAAAQIEkgsoAJMTCyBAgAABAgQIECBAgAABAgQIECCQT0ABmM9eMgECBAgQIECAAAECBAgQIECAAIHkAgrA5MQCCBAgQIAAAQIECBAgQIAAAQIECOQTUADms5dMgAABAgQIECBAgAABAgQIECBAILmAAjA5sQACBAgQIECAAAECBAgQIECAAAEC+QQUgPnsJRMgQIAAAQIECBAgQIAAAQIECBBILvAf5kuxnFEhSToAAAAASUVORK5CYII=\" width=\"640\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.axes._subplots.AxesSubplot at 0x1222044a90>"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plt.figure()\n",
+ "plot_df.poa_global.plot()"
]
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Check output"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data1 = xr.open_dataset('hourly_poa.nc')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<pre>&lt;xarray.Dataset&gt;\n",
+ "Dimensions: (DF_UID: 100, day: 31, timestamp: 154)\n",
+ "Coordinates:\n",
+ " * DF_UID (DF_UID) int64 1 2 3 4 5 6 7 ... 96 97 98 99 100 101 103\n",
+ " * timestamp (timestamp) datetime64[ns] 2001-01-15T07:00:00 ... 2001-12-15T15:00:00\n",
+ " * day (day) int64 1 2 3 4 5 6 7 8 ... 24 25 26 27 28 29 30 31\n",
+ "Data variables:\n",
+ " poa_direct (DF_UID, timestamp, day) float32 nan nan ... 89.13184\n",
+ " poa_sky_diffuse (DF_UID, timestamp, day) float32 nan nan ... 55.760998\n",
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+ ],
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+ "<xarray.Dataset>\n",
+ "Dimensions: (DF_UID: 100, day: 31, timestamp: 154)\n",
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"metadata": {},
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- " time poa_direct \\\n",
- "DF_UID day timestamp \n",
- "1 1 2010-01-15 08:00:00 2010-01-01 08:00:00 6.380301 \n",
- " 2010-01-15 09:00:00 2010-01-01 09:00:00 8.721270 \n",
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- " 2010-12-15 15:00:00 2010-12-31 15:00:00 89.131844 \n",
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},
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"metadata": {},
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],
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]
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"data2 = xr.open_dataset('hourly_poa_script.nc')"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "time True\n",
"poa_direct True\n",
"poa_sky_diffuse True\n",
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"dtype: bool"
]
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"metadata": {},
"output_type": "execute_result"
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diff --git a/Potential_hourly/merge_and_postprocess.py b/Potential_hourly/merge_and_postprocess.py
new file mode 100644
index 0000000..7cfdb1e
--- /dev/null
+++ b/Potential_hourly/merge_and_postprocess.py
@@ -0,0 +1,124 @@
+import numpy as np
+import pandas as pd
+import xarray as xr
+
+import sys
+import os
+import time
+
+# # Define file paths
+
+COMM_FP = '/work/hyenergy/output/solar_potential/Sonnendach_Gemeinden_Dachflaechen.csv' # '/Users/alinawalch/Documents/EPFL/data/EMPA_data/Sonnendach_Gemeinden_Dachflaechen.csv'
+ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv' # '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv'
+AREA_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv' # '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/PRED_available_area_unc_filled.csv'
+
+PV_PATH = sys.argv[1]
+OUTPATH = sys.argv[2]
+
+## CONSTANTS
+
+GT_IN = 'tilted_irrad_1*.nc'
+PV_IN = 'pv_potential_1*.nc'
+
+DF_OUT = '2010_annual_roofs.csv'
+HR_OUT = '2010_hourly_comms.nc'
+PV_OUT = '2010_hourly_pv_kW.csv'
+GT_OUT = '2010_hourly_gt_kW_m2.csv'
+
+FLAT_TILT = 10
+MAX_ASPECT = 90
+
+# Print file paths
+print('\nCommune mapping file path: %s' %COMM_FP)
+print('Available area file path: %s' %AREA_FP)
+print('Roof surfaces file path: %s' %ROOF_FP)
+print('PV and irradiance input path: %s' %PV_PATH)
+print('Output path: %s\n\n' %OUTPATH)
+
+# # Load commune map
+
+tt = time.time()
+comm_map = pd.read_csv(COMM_FP, encoding = 'cp1250', usecols = ['DF_UID', 'BFS_NUMMER', 'NAME'] )
+
+# # Load roof data
+
+roofs = pd.read_csv(ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'])
+av_area = pd.read_csv(AREA_FP, usecols = ['DF_UID', 'available_area', 'available_area_std'])
+
+roof_info = roofs.merge(av_area, on = 'DF_UID').merge(comm_map, on = 'DF_UID', how = 'left')
+print('Loaded roof info in %.2fs' %(time.time()-tt))
+
+# # Get suitable roofs
+
+tt = time.time()
+roof_info['suitable'] = ( ( (roof_info.NEIGUNG <= FLAT_TILT) | (abs(roof_info.AUSRICHTUNG) <= MAX_ASPECT) )
+ & (roof_info.available_area >= 8) ).astype(int)
+
+
+# # Load prediction
+
+tilted_irrad = xr.open_mfdataset( os.path.join(PV_PATH, GT_IN), combine = 'by_coords' )
+pv_potential = xr.open_mfdataset( os.path.join(PV_PATH, PV_IN), combine = 'by_coords' )
+
+roof_info = roof_info.merge( tilted_irrad.yearly_kWh_m2.to_series().rename('Gt_kWh_m2'), on = 'DF_UID' )
+roof_info = roof_info.merge( pv_potential.yearly_PV_kWh.to_series().rename('EPV_kWh'), on = 'DF_UID' )
+
+print('Processed annual PV data in %.2fs\n' %(time.time()-tt))
+
+# ### Save rooftop data
+
+tt = time.time()
+roof_save = roof_info.drop(columns = ['NEIGUNG', 'AUSRICHTUNG', 'NAME'])
+print(roof_save.head())
+
+roof_save.to_csv( os.path.join(OUTPATH, DF_OUT), index = False )
+print('\nSaved annual PV data in %.2fs' %(time.time()-tt))
+
+# # Group suitable potential by communes
+
+tt = time.time()
+
+time_xr = pv_potential.time.isel( DF_UID = 0 ).drop('DF_UID')
+
+roof_sel = roof_info.loc[roof_info.DF_UID.isin(pv_potential.DF_UID.values), ['DF_UID', 'suitable', 'BFS_NUMMER']]
+roof_xr = roof_sel.set_index('DF_UID').to_xarray()
+
+hourly_suitable = xr.merge([pv_potential.pv_potential, tilted_irrad.tilted_irradiance]) * roof_xr.suitable
+hourly_suitable.coords['BFS_NUMMER'] = roof_xr.BFS_NUMMER.astype('int')
+
+pv_communes_hourly = hourly_suitable.pv_potential.groupby('BFS_NUMMER').sum().astype('float32') / 1000
+gt_communes_hourly = ( hourly_suitable.tilted_irradiance.where( hourly_suitable.tilted_irradiance > 0 )
+ .groupby('BFS_NUMMER').mean().astype('float32') )
+
+communes_output = xr.merge([pv_communes_hourly, gt_communes_hourly, time_xr])
+
+print('\nCreated hourly commune potential in %.2fs\n' %(time.time()-tt))
+print(communes_output)
+
+# ### Save intermediate files
+
+tt = time.time()
+communes_output.to_netcdf(os.path.join(OUTPATH, HR_OUT))
+print('\nComputed hourly commune potential and saved output in %.2fs' %(time.time()-tt))
+
+
+# ## Create output csv files
+
+tt = time.time()
+
+communes_xr = xr.open_dataset(os.path.join(OUTPATH, HR_OUT))
+comm_map_name = comm_map.groupby('BFS_NUMMER').first().NAME
+
+comm_df = communes_xr.to_dataframe().dropna().reset_index()
+comm_df['NAME'] = comm_df.BFS_NUMMER.map( comm_map_name )
+
+pv_comm_df = comm_df.pivot(values='pv_potential', index='time', columns='BFS_NUMMER')
+gt_comm_df = comm_df.pivot(values='tilted_irradiance', index='time', columns='BFS_NUMMER')
+
+# ### Save data
+pv_comm_df.to_csv( os.path.join(OUTPATH, PV_OUT) )
+gt_comm_df.to_csv( os.path.join(OUTPATH, GT_OUT) )
+
+print('Saved hourly commune potential and irradiance in %.2fs\n' %(time.time()-tt))
+print(pv_comm_df.head())
+print(gt_comm_df.head())
diff --git a/Potential_hourly/scripts/compute_PV_output_batch.py b/Potential_hourly/scripts/compute_PV_output_batch.py
new file mode 100644
index 0000000..c0004e1
--- /dev/null
+++ b/Potential_hourly/scripts/compute_PV_output_batch.py
@@ -0,0 +1,95 @@
+import pandas as pd
+import xarray as xr
+import numpy as np
+from pvlib.tools import cosd
+
+import os
+import time
+import sys
+
+
+TILTED_IRRAD_FP = sys.argv[1] # name of the tilted radiation file
+OUTFILE_FP = sys.argv[2] # name of the output file
+
+## ===== CONSTANTS ===== ##
+CHUNKSIZE = 1000
+
+AVAIL_AREA_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv'
+ROOFS_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'
+EFFICIENCY_FP = '/work/hyenergy/output/solar_potential/technical_potential/pv_efficiencies_proj_roofs.nc'
+
+print('\nTilted irradiance file path: %s' %TILTED_IRRAD_FP)
+print('Available area file path: %s' %AVAIL_AREA_FP)
+print('Roof surfaces file path: %s' %ROOFS_FP)
+print('Efficiency file path: %s' %EFFICIENCY_FP)
+print('Output file path: %s\n\n' %OUTFILE_FP)
+
+## =========================================================================================== ##
+
+## ===== LOAD DATA ===== ##
+tt = time.time()
+t0 = time.time()
+
+irrad = xr.open_mfdataset( TILTED_IRRAD_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords' ).sortby('DF_UID')
+
+av_area = pd.read_csv( AVAIL_AREA_FP, usecols = ['DF_UID', 'tilted_area', 'available_area'])
+roofs = pd.read_csv( ROOFS_FP, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'])
+eff = xr.open_mfdataset( EFFICIENCY_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords' ).sel(DF_UID = irrad.DF_UID.values)
+
+print('Loaded all data in %.3f seconds' %(time.time()-tt))
+
+av_area = av_area[av_area.DF_UID.isin(irrad.DF_UID.values)].merge( roofs[roofs.DF_UID.isin(irrad.DF_UID.values)],
+ on = 'DF_UID', how = 'left' )
+av_area['panelled_area'] = av_area.available_area / cosd( av_area.panel_tilt - av_area.NEIGUNG )
+
+print('Merged roof info with available area')
+
+## ===== PREPARE PV OUTPUT ===== ##
+
+tt = time.time()
+print('\nComputing PV potential ...')
+
+# First get all required variables for computation of PV output
+pv_output = irrad.tilted_irradiance.to_dataset()
+
+pv_output['panelled_area'] = av_area.set_index('DF_UID').to_xarray().panelled_area
+pv_output['tilted_area'] = av_area.set_index('DF_UID').to_xarray().tilted_area
+pv_output['available_area'] = av_area.set_index('DF_UID').to_xarray().available_area
+
+pv_output['efficiency'] = eff['module_eff']
+pv_output['performance_factor'] = eff['PF_mean']
+
+# Compute total PV output
+pv_output['pv_potential'] = ( pv_output.tilted_irradiance
+ * pv_output.panelled_area
+ * pv_output.efficiency
+ * pv_output.performance_factor )
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nComputing yearly sum ...')
+
+# Compute yearly sums
+pv_output['yearly_PV_kWh'] = pv_output.pv_potential.sum(dim = ['timestamp', 'day']) / 1000
+
+print(pv_output)
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+tt = time.time()
+print('\nSaving output ...')
+pv_save = pv_output[['pv_potential', 'yearly_PV_kWh']]
+
+# reduce storage requirement
+pv_save['pv_potential' ] = pv_save['pv_potential' ].astype('float32')
+pv_save['yearly_PV_kWh'] = pv_save['yearly_PV_kWh'].astype('float32')
+pv_save['time'] = irrad.time
+
+print(pv_save)
+
+pv_save.to_netcdf( OUTFILE_FP )
+print('Saved output in %s (%.3fs)' %(OUTFILE_FP, time.time()-tt))
+
+print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))
diff --git a/Potential_hourly/scripts/compute_tilted_irrad_batch.py b/Potential_hourly/scripts/compute_tilted_irrad_batch.py
new file mode 100644
index 0000000..425ef89
--- /dev/null
+++ b/Potential_hourly/scripts/compute_tilted_irrad_batch.py
@@ -0,0 +1,102 @@
+import pandas as pd
+import xarray as xr
+import numpy as np
+from pvlib.tools import cosd
+
+import os
+import time
+import sys
+
+## ===== INPUTS ========== ##
+
+POA_IRRAD_FP = sys.argv[1] # name of the tilted radiation file
+OUTFILE_FP = sys.argv[2] # name of the output file
+
+## ===== CONSTANTS ===== ##
+CHUNKSIZE = 10000
+
+FLAT_TILT = 30
+FLAT_DIST = 1
+
+PARTLY_SHADING_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/shading_stats/CH_partly_shading_replaced_debiased.nc'
+SVF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/tilted_irradiance/SVF_CH_replaced.csv'
+MUTUAL_SHADE_FP = '/work/hyenergy/output/solar_potential/technical_potential/flat_roofs/mutual_shading.nc'
+ROOFS_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'
+
+print('\nShading file path: %s' %PARTLY_SHADING_FP)
+print('POA irradiance file path: %s' %POA_IRRAD_FP)
+print('Skyview factor file path: %s' %SVF_FP)
+print('Mutual shading file path: %s' %MUTUAL_SHADE_FP)
+print('Roof surfaces file path: %s' %ROOFS_FP)
+print('Output file path: %s' %OUTFILE_FP)
+
+## =========================================================================================== ##
+
+## ===== LOAD DATA ===== ##
+tt = time.time()
+t0 = time.time()
+
+irrad = xr.open_mfdataset( POA_IRRAD_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords' ).sortby('DF_UID')
+
+shading = xr.open_mfdataset( PARTLY_SHADING_FP, chunks={'DF_UID': CHUNKSIZE},
+ combine = 'by_coords' ).sel(DF_UID = irrad.DF_UID.values)
+svf = pd.read_csv( SVF_FP )
+mutual_shade = xr.open_dataset( MUTUAL_SHADE_FP )
+roofs = pd.read_csv( ROOFS_FP, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'] )
+
+print('Loaded all data in %.3f seconds' %(time.time()-tt))
+
+flat_roofs = roofs[(roofs.DF_UID.isin(irrad.DF_UID.values)) & (roofs.NEIGUNG == 0)]
+
+## ===== COMPUTE MEAN IRRADIANCE ON ROOFTOPS ===== ##
+
+print(shading)
+print(irrad)
+print(mutual_shade)
+
+print('\nComputing mean irradiance on rooftops ...')
+tt = time.time()
+
+tilted_irrad = xr.merge( [ shading, irrad.drop('time') ] ).fillna(0)
+mutual_shade_flat = mutual_shade.sel(tilt = FLAT_TILT,
+ distance = FLAT_DIST,
+ timestamp = irrad.timestamp[irrad.timestamp.isin(mutual_shade.timestamp)]
+ ).drop(['tilt', 'distance'])
+
+tilted_irrad['svf'] = svf[svf.DF_UID.isin(irrad.DF_UID.values)].set_index('DF_UID')['SVF_unbiased'].to_xarray()
+tilted_irrad['is_flat'] = tilted_irrad.DF_UID.isin( flat_roofs.DF_UID.values ).astype(int)
+
+# compute tilted irradiance for tilted and flat surfaces
+# by multiplying mutual shading with is_flat (0, 1)
+tilted_irrad['tilted_irradiance'] = ( tilted_irrad.partly_shading * tilted_irrad.poa_direct
+ * (1 - mutual_shade_flat.shading * tilted_irrad.is_flat)
+ + tilted_irrad.svf * tilted_irrad.poa_sky_diffuse
+ * (1 - mutual_shade_flat.SVF_shade * tilted_irrad.is_flat)
+ + tilted_irrad.poa_ground_diffuse )
+
+print(tilted_irrad)
+
+print('Finished in %.3f seconds' %(time.time()-tt))
+
+# Compute yearly sum
+tilted_irrad['yearly_kWh_m2'] = tilted_irrad.tilted_irradiance.sum( dim = ['timestamp','day'] ) / 1000
+
+## === SAVE OUTPUT FILE ==== ##
+
+tt = time.time()
+print('\nSaving output ...')
+irrad_save = tilted_irrad[[ 'tilted_irradiance', 'yearly_kWh_m2' ]]
+
+# reduce storage requirement
+irrad_save['tilted_irradiance'] = irrad_save['tilted_irradiance'].astype('float32')
+irrad_save['yearly_kWh_m2' ] = irrad_save['yearly_kWh_m2' ].astype('float32')
+irrad_save['time'] = irrad.time
+
+print(irrad_save)
+
+irrad_save.to_netcdf( OUTFILE_FP )
+print('Saved output in %s (%.3fs)' %( OUTFILE_FP, time.time()-tt ))
+
+print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))
+
diff --git a/Potential_hourly/scripts/merge_annual_data.py b/Potential_hourly/scripts/merge_annual_data.py
new file mode 100644
index 0000000..51a9032
--- /dev/null
+++ b/Potential_hourly/scripts/merge_annual_data.py
@@ -0,0 +1,75 @@
+import numpy as np
+import pandas as pd
+import xarray as xr
+
+import sys
+import os
+import time
+
+# # Define file paths
+
+COMM_FP = '/work/hyenergy/output/solar_potential/Sonnendach_Gemeinden_Dachflaechen.csv' # '/Users/alinawalch/Documents/EPFL/data/EMPA_data/Sonnendach_Gemeinden_Dachflaechen.csv'
+ROOF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv' # '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv'
+AREA_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv' # '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/PRED_available_area_unc_filled.csv'
+
+PV_PATH = sys.argv[1]
+OUTPATH = sys.argv[2]
+
+## CONSTANTS
+
+GT_IN = 'tilted_irrad_1*.nc'
+PV_IN = 'pv_potential_1*.nc'
+
+DF_OUT = '2010_annual_roofs.csv'
+HR_OUT = '2010_hourly_comms.nc'
+PV_OUT = '2010_hourly_pv_kW.csv'
+GT_OUT = '2010_hourly_gt_kW_m2.csv'
+
+FLAT_TILT = 10
+MAX_ASPECT = 90
+
+# Print file paths
+print('\nCommune mapping file path: %s' %COMM_FP)
+print('Available area file path: %s' %AREA_FP)
+print('Roof surfaces file path: %s' %ROOF_FP)
+print('PV and irradiance input path: %s' %PV_PATH)
+print('Output path: %s\n\n' %OUTPATH)
+
+# # Load commune map
+
+tt = time.time()
+comm_map = pd.read_csv(COMM_FP, encoding = 'cp1250', usecols = ['DF_UID', 'BFS_NUMMER', 'NAME'] )
+
+# # Load roof data
+
+roofs = pd.read_csv(ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'])
+av_area = pd.read_csv(AREA_FP, usecols = ['DF_UID', 'available_area', 'available_area_std'])
+
+roof_info = roofs.merge(av_area, on = 'DF_UID').merge(comm_map, on = 'DF_UID', how = 'left')
+print('Loaded roof info in %.2fs' %(time.time()-tt))
+
+# # Get suitable roofs
+
+tt = time.time()
+roof_info['suitable'] = ( ( (roof_info.NEIGUNG <= FLAT_TILT) | (abs(roof_info.AUSRICHTUNG) <= MAX_ASPECT) )
+ & (roof_info.available_area >= 8) ).astype(int)
+
+
+# # Load prediction
+
+tilted_irrad = xr.open_mfdataset( os.path.join(PV_PATH, GT_IN), combine = 'by_coords' )
+pv_potential = xr.open_mfdataset( os.path.join(PV_PATH, PV_IN), combine = 'by_coords' )
+
+roof_info = roof_info.merge( tilted_irrad.yearly_kWh_m2.to_series().rename('Gt_kWh_m2'), on = 'DF_UID' )
+roof_info = roof_info.merge( pv_potential.yearly_PV_kWh.to_series().rename('EPV_kWh'), on = 'DF_UID' )
+
+print('Processed annual PV data in %.2fs\n' %(time.time()-tt))
+
+# ### Save rooftop data
+
+tt = time.time()
+roof_save = roof_info.drop(columns = ['NEIGUNG', 'AUSRICHTUNG', 'NAME'])
+print(roof_save.head())
+
+roof_save.to_csv( os.path.join(OUTPATH, DF_OUT), index = False )
+print('\nSaved annual PV data in %.2fs' %(time.time()-tt))
\ No newline at end of file
diff --git a/Potential_hourly/scripts/merge_commune_all.py b/Potential_hourly/scripts/merge_commune_all.py
new file mode 100644
index 0000000..59a5685
--- /dev/null
+++ b/Potential_hourly/scripts/merge_commune_all.py
@@ -0,0 +1,62 @@
+import numpy as np
+import pandas as pd
+import xarray as xr
+
+import os
+import time
+import sys
+
+COMM_FP = '/work/hyenergy/output/solar_potential/Sonnendach_Gemeinden_Dachflaechen.csv'
+
+OUTFILE = sys.argv[1]
+INFILES = lambda i: (os.path.splitext( OUTFILE )[0] + '_%d.nc' %i)
+
+N_BATCHES = int(sys.argv[2])
+
+OUT_PV = os.path.splitext( OUTFILE )[0] + '_pv.csv'
+OUT_GT = os.path.splitext( OUTFILE )[0] + '_gt.csv'
+
+# Load data
+comm_map = pd.read_csv(COMM_FP, encoding = 'cp1250', usecols = ['DF_UID', 'BFS_NUMMER', 'NAME'] )
+
+# For-loop
+init = True
+gt_weight = 0
+
+BFS_IDs = np.sort(comm_map.BFS_NUMMER.unique())
+
+for BATCH in range(N_BATCHES):
+ tt = time.time()
+ try:
+ new_data = xr.open_dataset( INFILES(BATCH) )
+ new_df = new_data.to_dataframe().dropna().reset_index()
+
+ pv_new_df = new_df.pivot(values='pv_potential', index='time', columns='BFS_NUMMER')
+ gt_new_df = new_df.pivot(values='gt_weighted_by_APV', index='time', columns='BFS_NUMMER')
+
+ if init:
+ init = False
+ pv_df = pd.DataFrame(index = pv_new_df.index, columns = BFS_IDs).fillna(0)
+
+ gt_df = pd.DataFrame(index = pv_new_df.index, columns = BFS_IDs).fillna(0)
+ A_df = pd.Series(np.zeros(len(BFS_IDs)), index = BFS_IDs)
+
+ pv_df[pv_new_df.columns] += pv_new_df
+ gt_df[gt_new_df.columns] += gt_new_df
+ A_df[new_data.BFS_NUMMER.values] += new_data.APV_weight_sum.to_pandas()
+
+ except:
+ print('Error loading %s' %INFILES(BATCH))
+
+ print('Executed iteration %i in %.2fs' %(BATCH, time.time()-tt))
+
+gt_df.loc[:,A_df > 0] /= A_df[A_df > 0]
+
+print(pv_df.head())
+print(gt_df.head())
+
+# Save output
+tt = time.time()
+pv_df.to_csv( OUT_PV )
+gt_df.to_csv( OUT_GT )
+print('\nSaved outputs %s and %s in %.2fs' %(OUT_PV, OUT_GT, time.time()-tt))
diff --git a/Potential_hourly/scripts/merge_commune_batch.py b/Potential_hourly/scripts/merge_commune_batch.py
new file mode 100644
index 0000000..08a83cc
--- /dev/null
+++ b/Potential_hourly/scripts/merge_commune_batch.py
@@ -0,0 +1,87 @@
+import numpy as np
+import pandas as pd
+import xarray as xr
+
+import sys
+import os
+import time
+
+# # Define file paths
+
+COMM_FP = '/Users/alinawalch/Documents/EPFL/data/EMPA_data/Sonnendach_Gemeinden_Dachflaechen.csv'
+ROOF_FP = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv'
+AREA_FP = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty/PRED_available_area_unc_filled.csv'
+
+PV_PATH = sys.argv[1]
+GT_PATH = sys.argv[2]
+
+OUTPATH = sys.argv[3]
+
+## CONSTANTS
+
+FLAT_TILT = 10
+MAX_ASPECT = 90
+
+# Print file paths
+print('\nCommune mapping file path: %s' %COMM_FP)
+print('Available area file path: %s' %AREA_FP)
+print('Roof surfaces file path: %s' %ROOF_FP)
+print('PV input path: %s' %PV_PATH)
+print('Gt input path: %s' %GT_PATH)
+print('Output path: %s\n\n' %OUTPATH)
+
+# # Load commune map
+
+tt = time.time()
+comm_map = pd.read_csv(COMM_FP, encoding = 'cp1250', usecols = ['DF_UID', 'BFS_NUMMER', 'NAME'] )
+
+# # Load roof data
+
+roofs = pd.read_csv(ROOF_FP, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'])
+av_area = pd.read_csv(AREA_FP, usecols = ['DF_UID', 'available_area', 'available_area_std'])
+
+roof_info = roofs.merge(av_area, on = 'DF_UID').merge(comm_map, on = 'DF_UID', how = 'left')
+print('Loaded roof info in %.2fs' %(time.time()-tt))
+
+# # Get suitable roofs
+
+tt = time.time()
+roof_info['suitable'] = ( ( (roof_info.NEIGUNG <= FLAT_TILT) | (abs(roof_info.AUSRICHTUNG) <= MAX_ASPECT) )
+ & (roof_info.available_area >= 8) ).astype(int)
+
+# # Load prediction
+
+tilted_irrad = xr.open_mfdataset( GT_PATH )
+pv_potential = xr.open_mfdataset( PV_PATH )
+
+# # Group suitable potential by communes
+
+tt = time.time()
+
+time_xr = pv_potential.time
+
+roof_sel = roof_info.loc[ roof_info.DF_UID.isin(pv_potential.DF_UID.values),
+ ['DF_UID', 'suitable', 'available_area', 'BFS_NUMMER'] ]
+roof_xr = roof_sel.set_index('DF_UID').to_xarray()
+
+hourly_suitable = xr.merge([pv_potential.pv_potential, tilted_irrad.tilted_irradiance, roof_xr.available_area]) * roof_xr.suitable
+hourly_suitable.coords['BFS_NUMMER'] = roof_xr.BFS_NUMMER.astype('int')
+
+pv_communes_hourly = hourly_suitable.pv_potential.groupby('BFS_NUMMER').sum().astype('float32') / 1000
+gt_communes_hourly = ( hourly_suitable.tilted_irradiance.where( hourly_suitable.tilted_irradiance > 0 )
+ .groupby('BFS_NUMMER').mean().astype('float32') )
+gt_weighted_sum = ((hourly_suitable.tilted_irradiance * hourly_suitable.available_area )
+ .groupby('BFS_NUMMER').sum().astype('float32').rename('gt_weighted_by_APV'))
+weights_sum = (hourly_suitable.available_area * roof_xr.suitable ).groupby('BFS_NUMMER').sum().rename('APV_weight_sum')
+
+communes_output = xr.merge([pv_communes_hourly, gt_communes_hourly, gt_weighted_sum, weights_sum, time_xr]) # gt_communes_hourly
+
+print('\nCreated hourly commune potential in %.2fs\n' %(time.time()-tt))
+print(communes_output)
+
+# ### Save intermediate files
+
+tt = time.time()
+communes_output.to_netcdf( OUTPATH )
+print('\nComputed hourly commune potential and saved output in %.2fs' %(time.time()-tt))
+
diff --git a/Potential_hourly/scripts/merge_poa_batch.py b/Potential_hourly/scripts/merge_poa_batch.py
new file mode 100644
index 0000000..4fc277e
--- /dev/null
+++ b/Potential_hourly/scripts/merge_poa_batch.py
@@ -0,0 +1,19 @@
+import xarray as xr
+import sys
+import os
+
+## INPUT ##
+
+OUTFILE = sys.argv[1]
+
+## OUTPUT DEFINITION ##
+
+INFILES = os.path.splitext(OUTFILE)[0] + '_*' + os.path.splitext(OUTFILE)[1]
+indata = xr.open_mfdataset(INFILES, combine='by_coords')
+
+## SAVE AS ONE FILE ##
+
+outdata = xr.merge([indata.drop('time'), indata.time.isel(DF_UID = 0).drop('DF_UID')])
+outdata.to_netcdf(OUTFILE)
+
+print('Saved %s' %OUTFILE)
\ No newline at end of file
diff --git a/Potential_hourly/Tilted_radiation/poa_irradiance.py b/Potential_hourly/scripts/poa_irradiance.py
similarity index 84%
rename from Potential_hourly/Tilted_radiation/poa_irradiance.py
rename to Potential_hourly/scripts/poa_irradiance.py
index 65413c3..44b97fe 100644
--- a/Potential_hourly/Tilted_radiation/poa_irradiance.py
+++ b/Potential_hourly/scripts/poa_irradiance.py
@@ -1,174 +1,178 @@
import numpy as np
import pandas as pd
import xarray as xr
import os
import sys
import time
import pvlib.irradiance as pvlib
import pyproj
def round_to_interval(x, round_int):
return np.round(x / round_int) * round_int
def map_coords_to_pixel(coords, offset, pixel_res, col_names = ['lon', 'lat'], decimals = 5 ):
tmp_lon = coords['lon'] - offset[0]
tmp_lat = coords['lat'] - offset[1]
tmp_lon_rounded = round_to_interval(tmp_lon, pixel_res[0])
tmp_lat_rounded = round_to_interval(tmp_lat, pixel_res[1])
-
+
return_df = coords.copy()
return_df[col_names[0]] = (tmp_lon_rounded + offset[0]).round( decimals )
return_df[col_names[1]] = (tmp_lat_rounded + offset[1]).round( decimals )
-
+
return return_df
##################### INPUTS ####################
-
+'''
meteo_file = sys.argv[1]
print('\nMeteo data loaded from %s' %meteo_file)
rooftop_file = sys.argv[2]
print('Rooftop data loaded from %s' %rooftop_file)
+'''
savefile = sys.argv[3]
print('Data will be saved to %s' %savefile)
-'''
+
#### TMP #####
fp = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/'
meteo_file = os.path.join(fp, 'Meteo_data/Meteoswiss_satellite/raw_data/2010_physical_potential_interp.nc')
print('\nMeteo data loaded from %s' %meteo_file)
rooftop_file = os.path.join(fp, 'Results/PV_w_uncertainty/CH_ROOFS_all_replaced.csv')
print('Rooftop data loaded from %s' %rooftop_file)
-savefile = 'hourly_poa_script.nc'
-print('Data will be saved to %s' %savefile)
+#savefile = 'hourly_poa_script.nc'
+#print('Data will be saved to %s' %savefile)
#### END - TMP #####
-'''
+
albedo_in = sys.argv[4] # 'map' or 'constant'
if len(sys.argv) > 6:
start_index = int(sys.argv[5])
n_rows = int(sys.argv[6])
get_slice = True
print('Loading slice: %d rows, starting from ID %d\n' %(n_rows, start_index))
else:
get_slice = False
start_index = 1
n_rows = None
##################### CONSTANTS ##########################
ROOFTOP_FEATURES = ['XCOORD', 'YCOORD', 'DF_UID', 'FLAECHE', 'panel_tilt', 'panel_direction']
UNIQUE_FEATURE = 'DF_UID'
DIFFUSE_MODEL = 'perez'
albedo_input = {
'constant' : lambda ds : 0.2 ,
'map' : lambda ds : ds['ALB']
}
+ZENITH_THRESH = 2 # Threshold for considering 0 direct radiation (in deg. from horizon)
+
################################################
# Create dataframe of rooftops
field_names = pd.read_csv(rooftop_file, nrows = 0).columns
rooftops_all = pd.read_csv(rooftop_file, skiprows = start_index, nrows = n_rows, header = None, names = field_names)
rooftops = rooftops_all.loc[:, ROOFTOP_FEATURES]
# Open datasets
meteo = xr.open_dataset( meteo_file )
# In case ALB is desired but not found in variables: use constant
if not ('ALB' in meteo.variables):
print('Using constant albedo')
albedo_in = 'constant'
dLat = meteo.lat.to_pandas().diff().mean()
dLon = meteo.lon.to_pandas().diff().mean()
# Project rooftops to lonlat
latlong = pyproj.Proj(proj='latlong')
swiss = pyproj.Proj(init='EPSG:21781')
swiss(600000, 200000, inverse=True)
transformer = lambda x, y: pyproj.transform(swiss, latlong, x, y)
# transform x and y into lon and lat and append to list_of_locations
rooftops['lon'], rooftops['lat'] = transformer(rooftops['XCOORD'].values, rooftops['YCOORD'].values)
# if only a part of the data is queried, use only the subset of the meteo data in that range, for efficiency reasons
if get_slice:
- meteo = meteo.sel( lon = slice( rooftops.lon.min()-dLon, rooftops.lon.max()+dLon),
+ meteo = meteo.sel( lon = slice( rooftops.lon.min()-dLon, rooftops.lon.max()+dLon),
lat = slice( rooftops.lat.min()-dLat, rooftops.lat.max()+dLat) )
-
+
# link rooftops with meteo pixels
px_coord = ['lon_px', 'lat_px']
rooftops[px_coord] = map_coords_to_pixel(rooftops[['lon','lat']], [5.75, 45.75], [dLon, dLat], px_coord )[px_coord]
tt = time.time()
meteo_df = meteo.to_dataframe().reset_index().dropna()
meteo_df[px_coord] = map_coords_to_pixel(meteo_df[['lon','lat']], [5.75, 45.75], [dLon, dLat], px_coord )[px_coord]
-print('\nCreated meteo dataframe in %.2fs' %(time.time()-tt))
+print('Created meteo dataframe %.2fs' %(time.time()-tt))
# merge rooftops with meteo data
tt = time.time()
merged_dataset = rooftops.merge(meteo_df.drop(columns = ['x','y','lon','lat']), on = px_coord, how = 'left')
print('Merged in %.2fs' %(time.time()-tt))
tmp_fp = os.path.join( os.path.split( savefile )[0], 'TMP_merged_dataset.csv')
-merged_dataset.to_csv( tmp_fp )
+# merged_dataset.to_csv( tmp_fp )
print('Saved temporary merged dataset in %s' %tmp_fp)
# exit()
################################################
-# Compute tilted irradiance for entire dataframe
+# Compute tilted irradiance for entire dataframe
tt = time.time()
irradiance_components = pvlib.get_total_irradiance(
- surface_tilt = merged_dataset['panel_tilt'],
+ surface_tilt = merged_dataset['panel_tilt'],
surface_azimuth = merged_dataset['panel_direction'],
- solar_zenith = merged_dataset['apparent_zenith'],
+ solar_zenith = merged_dataset['apparent_zenith'],
solar_azimuth = merged_dataset['azimuth'],
- dni = merged_dataset['DNI'],
- ghi = merged_dataset['SIS'],
- dhi = merged_dataset['DHI'],
- dni_extra = merged_dataset['DNI_extra'],
+ dni = merged_dataset['DNI'],
+ ghi = merged_dataset['SIS'],
+ dhi = merged_dataset['DHI'],
+ dni_extra = merged_dataset['DNI_extra'],
airmass = merged_dataset['rel_airmass'],
albedo = albedo_input[albedo_in](merged_dataset),
model = DIFFUSE_MODEL
)
print('\nComputed irradiance in %.2fs' %(time.time()-tt))
# add UNIQUE_FEATURE and timestamp to the tilted irradiance and drop data that can be calculated (global and diffuse)
tt = time.time()
-tilted_irradiance_features = [ UNIQUE_FEATURE, 'timestamp', 'day', 'time']
+tilted_irradiance_features = [ UNIQUE_FEATURE, 'timestamp', 'day']
tilted_irradiance = pd.concat([ merged_dataset.loc[: ,tilted_irradiance_features], irradiance_components], axis = 1)
tilted_irradiance.drop(['poa_global' , 'poa_diffuse'], axis = 1, inplace = True)
print('\nAdded columns for unique identification to dataframe in %.2fs' %(time.time()-tt))
+# Clean data
+tilted_irradiance.loc[merged_dataset.apparent_zenith >= (90-ZENITH_THRESH), 'poa_direct'] = 0
+
### Convert pandas dataframe back to xarray to save in a more efficient format
tt = time.time()
-data_xr = tilted_irradiance.set_index(['DF_UID', 'timestamp', 'day']).to_xarray()
+data_xr = tilted_irradiance.set_index(['DF_UID', 'timestamp', 'day']).to_xarray()
+data_out = xr.merge([data_xr, meteo.time])
print('Indexed data in %.2fs' %(time.time()-tt))
# Reduce file size
tt = time.time()
-for var in data_xr.variables:
+for var in data_out.variables:
if var in ['timestamp', 'day', 'time', 'DF_UID']: continue
-
- data_xr[var] = data_xr[var].astype('float32')
+
+ data_out[var] = data_out[var].astype('float32')
print('Converted data to float32 in %.2fs' %(time.time()-tt))
# save output
tt = time.time()
-data_xr.to_netcdf( savefile )
+data_out.to_netcdf( savefile )
print('\nSaved file as %s in %.2fs' %(savefile, time.time()-tt))
-
-
-
diff --git a/Validations/Check_GWR.ipynb b/Validations/Check_GWR.ipynb
index 9f4b965..a6fcc70 100644
--- a/Validations/Check_GWR.ipynb
+++ b/Validations/Check_GWR.ipynb
@@ -1,376 +1,376 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"GWR_cols = pd.read_csv('/Users/alinawalch/Documents/EPFL/data/GWR/Maske_EINZELD-GEB.csv').columns\n",
"GWR = pd.read_csv('/Users/alinawalch/Documents/EPFL/data/GWR/EPFL-150701-GEB.txt',\n",
" header = None, names = GWR_cols, sep = '\\t', encoding = 'cp1250' )"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>GDEKT</th>\n",
" <th>GDENR</th>\n",
" <th>GDENAMK</th>\n",
" <th>EGID</th>\n",
" <th>GPARZ</th>\n",
" <th>GGBKR</th>\n",
" <th>GEBNR</th>\n",
" <th>GBEZ</th>\n",
" <th>ESTRID</th>\n",
" <th>STRNAMK1</th>\n",
" <th>...</th>\n",
" <th>GAREA</th>\n",
" <th>GASTW</th>\n",
" <th>GANZWHG</th>\n",
" <th>GAZZI</th>\n",
" <th>GHEIZ</th>\n",
" <th>GENHZ</th>\n",
" <th>GWWV</th>\n",
" <th>GENWW</th>\n",
" <th>DMUTDAT</th>\n",
" <th>DEXPDAT</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>TG</td>\n",
" <td>4590</td>\n",
" <td>Hüttlingen</td>\n",
" <td>400064214</td>\n",
" <td>2150</td>\n",
" <td>0.0</td>\n",
" <td>3/29</td>\n",
" <td>NaN</td>\n",
" <td>1125563</td>\n",
" <td>Geeregass</td>\n",
" <td>...</td>\n",
" <td>25.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>14.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>TG</td>\n",
" <td>4721</td>\n",
" <td>Bichelsee-Balterswil</td>\n",
" <td>400063706</td>\n",
" <td>192</td>\n",
" <td>0.0</td>\n",
" <td>1/.052</td>\n",
" <td>NaN</td>\n",
" <td>1126980</td>\n",
" <td>Riesenbergstr.</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>27.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>TG</td>\n",
" <td>4946</td>\n",
" <td>Weinfelden</td>\n",
" <td>400064183</td>\n",
" <td>2796</td>\n",
" <td>0.0</td>\n",
" <td>2259</td>\n",
" <td>NaN</td>\n",
" <td>1129096</td>\n",
" <td>Florastr.</td>\n",
" <td>...</td>\n",
" <td>16.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>27.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>TG</td>\n",
" <td>4566</td>\n",
" <td>Frauenfeld</td>\n",
" <td>400064684</td>\n",
" <td>1097</td>\n",
" <td>0.0</td>\n",
" <td>1/720</td>\n",
" <td>NaN</td>\n",
" <td>1125237</td>\n",
" <td>Blumenstr.</td>\n",
" <td>...</td>\n",
" <td>16.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>14.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>TG</td>\n",
" <td>4921</td>\n",
" <td>Bussnang</td>\n",
" <td>400064700</td>\n",
" <td>7038</td>\n",
" <td>0.0</td>\n",
" <td>9/.024</td>\n",
" <td>NaN</td>\n",
" <td>1128909</td>\n",
" <td>Laagasse</td>\n",
" <td>...</td>\n",
" <td>32.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>27.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 31 columns</p>\n",
"</div>"
],
"text/plain": [
" GDEKT GDENR GDENAMK EGID GPARZ GGBKR GEBNR GBEZ \\\n",
"0 TG 4590 Hüttlingen 400064214 2150 0.0 3/29 NaN \n",
"1 TG 4721 Bichelsee-Balterswil 400063706 192 0.0 1/.052 NaN \n",
"2 TG 4946 Weinfelden 400064183 2796 0.0 2259 NaN \n",
"3 TG 4566 Frauenfeld 400064684 1097 0.0 1/720 NaN \n",
"4 TG 4921 Bussnang 400064700 7038 0.0 9/.024 NaN \n",
"\n",
" ESTRID STRNAMK1 ... GAREA GASTW GANZWHG GAZZI GHEIZ \\\n",
"0 1125563 Geeregass ... 25.0 NaN 0 NaN NaN \n",
"1 1126980 Riesenbergstr. ... 10.0 NaN 0 NaN NaN \n",
"2 1129096 Florastr. ... 16.0 NaN 0 NaN NaN \n",
"3 1125237 Blumenstr. ... 16.0 NaN 0 NaN NaN \n",
"4 1128909 Laagasse ... 32.0 NaN 0 NaN NaN \n",
"\n",
" GENHZ GWWV GENWW DMUTDAT DEXPDAT \n",
"0 NaN NaN NaN 14.11.2014 01.07.2015 \n",
"1 NaN NaN NaN 27.11.2014 01.07.2015 \n",
"2 NaN NaN NaN 27.11.2014 01.07.2015 \n",
"3 NaN NaN NaN 14.11.2014 01.07.2015 \n",
"4 NaN NaN NaN 27.11.2014 01.07.2015 \n",
"\n",
"[5 rows x 31 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"GWR.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total number of GWR buildings in Switzerland: 1992340\n"
]
}
],
"source": [
"print('Total number of GWR buildings in Switzerland: %d' %len(GWR))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings with complete information: 30219\n"
]
}
],
"source": [
"print('Number of buildings with complete information: %d' %len(GWR.dropna()))"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings with building period information: 1878456\n",
"Percentage of buildings with building period information: 94.28%\n"
]
}
],
"source": [
"buildings_with_baup = GWR.dropna( subset = ['GBAUP'] )\n",
"print('Number of buildings with building period information: %d' %len(buildings_with_baup))\n",
"print('Percentage of buildings with building period information: %.2f%%' %(len(buildings_with_baup)/len(GWR)*100))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings built before 2000: 1705144\n",
"Percentage of buildings built before 2000: 90.77%\n"
]
}
],
"source": [
"buildings_before_2000 = buildings_with_baup[ buildings_with_baup.GBAUP < 8021 ]\n",
"print('Number of buildings built before 2000: %d' %len(buildings_before_2000))\n",
"print('Percentage of buildings built before 2000: %.2f%%' %(len(buildings_before_2000)/len(buildings_with_baup)*100))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings (with building period information) in Geneva canton: 49564\n",
"Percentage of buildings (with building period information) in Geneva canton: 2.64%\n"
]
}
],
"source": [
"buildings_GVA_with_baup = buildings_with_baup[ buildings_with_baup.GDEKT == 'GE' ]\n",
"print('Number of buildings (with building period information) in Geneva canton: %d' %len(buildings_GVA_with_baup))\n",
"print('Percentage of buildings (with building period information) in Geneva canton: %.2f%%' %(len(buildings_GVA_with_baup)/len(buildings_with_baup)*100))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Percentage of buildings in GVA canton built before 2000: 92.72%\n",
"Percentage of buildings in GVA canton built after 2000: 7.28%\n"
]
}
],
"source": [
"buildings_GVA_before_2000 = buildings_GVA_with_baup[ buildings_GVA_with_baup.GBAUP < 8021 ]\n",
"print('Percentage of buildings in GVA canton built before 2000: %.2f%%' %(len(buildings_GVA_before_2000)/len(buildings_GVA_with_baup)*100))\n",
"print('Percentage of buildings in GVA canton built after 2000: %.2f%%' %(100 - len(buildings_GVA_before_2000)/len(buildings_GVA_with_baup)*100))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.7"
+ "version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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