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diff --git a/Shading/horizon.pptx b/Shading/horizon.pptx
new file mode 100644
index 0000000..75e1d08
Binary files /dev/null and b/Shading/horizon.pptx differ
diff --git a/Solar/.DS_Store b/Solar/.DS_Store
index 5c483ec..87c7d30 100644
Binary files a/Solar/.DS_Store and b/Solar/.DS_Store differ
diff --git a/Solar/plotting/Plotting.ipynb b/Solar/plotting/Plotting.ipynb
index d5589f9..d793dac 100644
--- a/Solar/plotting/Plotting.ipynb
+++ b/Solar/plotting/Plotting.ipynb
@@ -1,4293 +1,9278 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Applications/anaconda2/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 numpy as np\n",
"import matplotlib\n",
- "matplotlib.use('qt5agg')\n",
+ "%matplotlib notebook\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.colors import LinearSegmentedColormap\n",
"import pandas as pd\n",
"import xarray as xr\n",
"import os\n",
"import time\n",
"import util\n",
"from meteo_data import Meteo_Reader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from mpl_toolkits.mplot3d import Axes3D\n",
"from matplotlib.collections import PolyCollection\n",
"from matplotlib.colors import colorConverter\n",
"import matplotlib.colors\n",
"import calendar"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"data_path = \"/Users/alinawalch/Documents/EPFL/data/meteo/raw_data\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# December"
]
},
{
"cell_type": "code",
"execution_count": 196,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"start_date = ('20011201')\n",
"end_date = '20011231'"
]
},
{
"cell_type": "code",
"execution_count": 197,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/Users/alinawalch/Documents/EPFL/data/meteo/raw_data\n",
"/Users/alinawalch/Documents/EPFL/data/meteo/raw_data/locations_mask.nc\n"
]
}
],
"source": [
"dec = Meteo_Reader(data_path, ['SIS'], 'MMH')"
]
},
{
"cell_type": "code",
"execution_count": 198,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2001-12.nc\n",
"Finished reading in 0.25 seconds\n"
]
}
],
"source": [
"dec.read_data(start_date, end_date)"
]
},
{
"cell_type": "code",
"execution_count": 199,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sis = dec.data.isel(lon = 28, lat = 33).to_dataframe().SIS.reset_index().as_matrix()\n",
"sis[:,0] = sis[:,0]+1"
]
},
{
"cell_type": "code",
"execution_count": 200,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"morning_hours = np.array(range(4)).reshape((-1,1))\n",
"evening_hours = np.array(range(21,24)).reshape((-1,1))"
]
},
{
"cell_type": "code",
"execution_count": 201,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"morning = np.hstack((morning_hours, np.zeros((len(morning_hours),1))))\n",
"evening = np.hstack((evening_hours, np.zeros((len(evening_hours),1))))"
]
},
{
"cell_type": "code",
"execution_count": 202,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"day = np.vstack((morning, sis, evening))"
]
},
{
"cell_type": "code",
"execution_count": 203,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sunrise = 8.25\n",
"sunset = 16+52/60"
]
},
{
"cell_type": "code",
"execution_count": 204,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"x_sunrise = [0, sunrise] \n",
"y1_sunrise = np.zeros(2)\n",
"y2_sunrise = 1000 * np.ones(2)\n",
"x_sunset = [sunset, 24]\n",
"y1_sunset = np.zeros(2)\n",
"y2_sunset = 1000 * np.ones(2)"
]
},
{
"cell_type": "code",
"execution_count": 215,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize=(20,8))\n",
"plt.fill_between(x_sunrise, y1_sunrise, y2_sunrise, facecolor='lightblue', alpha=0.5)\n",
"plt.fill_between(x_sunset, y1_sunset, y2_sunset, facecolor='lightblue',alpha=0.5)\n",
"plt.plot(day[:,0]+0.5, day[:,1], color='orange', linewidth = 2)\n",
"plt.fill_between(day[:,0]+0.5, day[:,1], facecolor='gold', alpha=0.5)\n",
"plt.title(\"Average solar radiation in December (2004-2015)\")\n",
"plt.xlabel(\"Hour ($h$)\")\n",
"plt.ylabel(\"Global solar radiation ($W/m^2$)\")\n",
"plt.xlim(0,23)\n",
"plt.ylim(0,800)\n",
"plt.grid(alpha = 0.1)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# June"
]
},
{
"cell_type": "code",
"execution_count": 216,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"start_date = ('20010601')\n",
"end_date = '20010630'"
]
},
{
"cell_type": "code",
"execution_count": 217,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/Users/alinawalch/Documents/EPFL/data/meteo/raw_data\n",
"/Users/alinawalch/Documents/EPFL/data/meteo/raw_data/locations_mask.nc\n"
]
}
],
"source": [
"dec = Meteo_Reader(data_path, ['SIS'], 'MMH')"
]
},
{
"cell_type": "code",
"execution_count": 218,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2001-06.nc\n",
"Finished reading in 0.23 seconds\n"
]
}
],
"source": [
"dec.read_data(start_date, end_date)"
]
},
{
"cell_type": "code",
"execution_count": 219,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sis = dec.data.isel(lon = 28, lat = 33).to_dataframe().SIS.reset_index().as_matrix()\n",
"sis[:,0] = sis[:,0]+2"
]
},
{
"cell_type": "code",
"execution_count": 220,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"morning_hours = np.array(range(4)).reshape((-1,1))\n",
"evening_hours = np.array(range(21,24)).reshape((-1,1))"
]
},
{
"cell_type": "code",
"execution_count": 221,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"morning = np.hstack((morning_hours, np.zeros((len(morning_hours),1))))\n",
"evening = np.hstack((evening_hours, np.zeros((len(evening_hours),1))))"
]
},
{
"cell_type": "code",
"execution_count": 222,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"day = np.vstack((morning, sis, evening))"
]
},
{
"cell_type": "code",
"execution_count": 223,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sunrise = 5.75\n",
"sunset = 21.5"
]
},
{
"cell_type": "code",
"execution_count": 224,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"x_sunrise = [0, sunrise] \n",
"y1_sunrise = np.zeros(2)\n",
"y2_sunrise = 1000 * np.ones(2)\n",
"x_sunset = [sunset, 24]\n",
"y1_sunset = np.zeros(2)\n",
"y2_sunset = 1000 * np.ones(2)"
]
},
{
"cell_type": "code",
"execution_count": 225,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize=(20,8))\n",
"plt.fill_between(x_sunrise, y1_sunrise, y2_sunrise, facecolor='lightblue',edgecolor = 'skyblue', alpha=0.5)\n",
"plt.fill_between(x_sunset, y1_sunset, y2_sunset, facecolor='lightblue', edgecolor = 'skyblue', alpha=0.5)\n",
"plt.plot(day[:,0]+0.5, day[:,1], color='orange', linewidth = 2)\n",
"plt.fill_between(day[:,0]+0.5, day[:,1], facecolor='gold', alpha=0.5)\n",
"plt.title(\"Average solar radiation in June (2004-2015)\")\n",
"plt.xlabel(\"Hour ($h$)\")\n",
"plt.ylabel(\"Global solar radiation ($W/m^2$)\")\n",
"plt.xlim(0,23)\n",
"plt.ylim(0,800)\n",
"plt.grid(alpha = 0.1)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Yearly data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/Users/alinawalch/Documents/EPFL/data/meteo/raw_data\n",
"/Users/alinawalch/Documents/EPFL/data/meteo/raw_data/locations_mask.nc\n"
]
}
],
"source": [
"yr = Meteo_Reader(data_path, ['SIS'])\n",
"yr.read_yearly(2001)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"yrly_sum = yr.data.SIS.sum(dim = ['date', 'hour']).to_dataframe().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# boundary:\n",
"ch = yr.loc_mask.CH.values"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"bd = np.zeros(ch.shape)\n",
"for i in range(1, ch.shape[0]-1):\n",
" for j in range(1, ch.shape[1]-1):\n",
" if ch[i,j] == 1:\n",
" lst = [ch[i-1,j], ch[i,j-1], ch[i+1,j], ch[i,j+1]]\n",
" if sum(lst)<4:\n",
" bd[i,j] = 1"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"yr.loc_mask['boundary'] = xr.DataArray(bd.T, coords = yr.loc_mask.coords)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"coords = yr.loc_mask.to_dataframe().dropna()\n",
"coords = coords[['x', 'y', 'boundary']].reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"yrly_sum = yrly_sum.merge(coords, how = 'left', on = ['lon', 'lat']).set_index(['x','y'])\n",
"yrly_sum = yrly_sum[['SIS']].reset_index()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"yrly_sum = yrly_sum.loc[(yrly_sum.SIS>0)]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"bound = coords.loc[(coords.boundary == 1)]"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"plt.plot(bound.x, bound.y)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"yrly_sum.to_csv('yearly_sum.csv')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"colorsRGB = [(47,111,191),\n",
" (51,148,190),\n",
" (65,195,153),\n",
" (105,219,77),\n",
" (183,233,81),\n",
" (249,239,88),\n",
" (250,201,53),\n",
" (246,135,26),\n",
" (220,82,7),\n",
" (193,31,4)]\n",
"colors = []\n",
"for row in colorsRGB:\n",
" colors.append(tuple([i/255.0 for i in row]))\n",
" \n",
"cm = LinearSegmentedColormap.from_list('radiation', colors, N=500)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize = (20,10))\n",
"fig = plt.scatter(yrly_sum.x, yrly_sum.y, c = yrly_sum.SIS/1000, s = 22, marker = ',', vmin = 1000, vmax = 1600, cmap = cm)\n",
"# plt.scatter(lsn.lon, lsn.lat, marker = 'o')\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"# fig.set_cmap(cm)\n",
"#fig.axes.get_xaxis().set_visible(False)\n",
"#fig.axes.get_yaxis().set_visible(False)\n",
"plt.title(\"Yearly solar irradiation (satellite data, 2004-2015)\")\n",
"cbar = plt.colorbar()\n",
"cbar.set_label('Solar irradiation (in $kWh/m^2$)', labelpad=20)\n",
"\n",
"labels = [item.get_text() for item in cbar.ax.get_yticklabels()]\n",
"labels[-1] = '> 1600'\n",
"labels[0] = '< 1000'\n",
"cbar.ax.set_yticklabels(labels)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 231,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray 'SIS' (lon: 217, lat: 95)>\n",
"array([[ nan, nan, nan, ..., nan, nan, nan],\n",
" [ nan, nan, nan, ..., nan, nan, nan],\n",
" [ nan, nan, nan, ..., nan, nan, nan],\n",
" ..., \n",
" [ nan, nan, nan, ..., nan, nan, nan],\n",
" [ nan, nan, nan, ..., nan, nan, nan],\n",
" [ nan, nan, nan, ..., nan, nan, nan]])\n",
"Coordinates:\n",
" * lon (lon) float64 5.979 6.0 6.021 6.042 6.062 6.083 6.104 6.125 ...\n",
" * lat (lat) float64 45.83 45.85 45.88 45.9 45.92 45.94 45.96 45.98 ..."
]
},
"execution_count": 231,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS = yr.data.SIS.sum(dim = ['date', 'hour'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### for comparison: plot lon and lat\n",
"X, Y = np.meshgrid(yr.data.lon.values, yr.data.lat.values)\n",
"Z = SIS.where(SIS>0).values[:-1, :-1]\n",
"Zm = np.ma.masked_invalid(Z)\n",
"\n",
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize = (20,10))\n",
"fig = plt.pcolormesh(X,Y,Zm.T/1000, vmin = 1000, vmax = 1600)\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"fig.set_cmap('rainbow')\n",
"plt.title(\"Yearly solar irradiation (satellite data, 2004-2015)\")\n",
"cbar = plt.colorbar(fig)\n",
"cbar.set_label('Solar irradiation (in $kWh/m^2$)', labelpad=20)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sliced plot"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"lsn = yr.data.SIS.isel(lon = 28, lat = 33)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray 'SIS' (date: 365, hour: 17)>\n",
"array([[0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" ...,\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.]])\n",
"Coordinates:\n",
" lon float64 6.562\n",
" lat float64 46.52\n",
" * hour (hour) int64 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n",
" * date (date) datetime64[ns] 2001-01-01 2001-01-02 2001-01-03 ..."
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lsn"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"lsn_SIS = lsn.values"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"morning_hours = np.array(range(3)).reshape((-1,1))\n",
"evening_hours = np.array(range(20,24)).reshape((-1,1))\n",
"hours = np.vstack((morning_hours, lsn.hour.values.reshape((-1,1)), evening_hours))"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"morning = np.zeros((lsn_SIS.shape[0],len(morning_hours)))\n",
"evening = np.zeros((lsn_SIS.shape[0],len(evening_hours)))\n",
"lsn_SIS = np.hstack((morning, lsn_SIS, evening))"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(365, 24)"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lsn_SIS.shape"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"def cc(arg):\n",
" return colorConverter.to_rgba(arg, alpha=0.6)\n",
"def dd(arg):\n",
" return colorConverter.to_rgba(arg, alpha=0.1)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"verts = []\n",
"zs = range(1, 366)\n",
"for z in zs:\n",
" verts.append(list(zip(hours, lsn_SIS[z-1,:])))"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(array([8]), 82.73099040985107)"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"verts[0][8]"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"7793.605847304066"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.sum(lsn_SIS, axis = 1).max()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.\n",
" warnings.warn(message, mplDeprecation, stacklevel=1)\n"
]
}
],
"source": [
"matplotlib.rcParams.update({'font.size': 22})\n",
"fig = plt.figure(figsize = (20,10))\n",
"ax = fig.gca(projection='3d')\n",
"\n",
"cmap = plt.cm.Wistia\n",
"norm = matplotlib.colors.Normalize(vmin=0, vmax=8000)\n",
"\n",
"poly = PolyCollection(verts, edgecolors = dd('lightgrey'), facecolors = cmap(norm(np.sum(lsn_SIS, axis = 1))))\n",
"poly.set_alpha(0.7)\n",
"ax.add_collection3d(poly, zs=zs, zdir='y')\n",
"\n",
"ax.set_xlabel('Hour (GMT)', labelpad=30)\n",
"ax.set_xlim3d(0, 23)\n",
"ax.set_ylabel('Day', labelpad=32)\n",
"ax.set_ylim3d(1, 365)\n",
"ax.set_zlabel('Solar irradiance (in $W/m^2$)', labelpad=25)\n",
"ax.set_zlim3d(0, 800)\n",
"ax.grid('off')\n",
"ax.set_title(\"Hourly solar irradiance (satellite data, 2004-2015)\")\n",
"ax.tick_params(axis='x', pad=6)\n",
"ax.tick_params(axis='y', pad=8)\n",
"ax.tick_params(axis='z', pad=10)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"fig = plt.figure()\n",
"ax = fig.gca(projection='3d')\n",
"\n",
"# Make data.\n",
"X = lsn.hour.values\n",
"Y = range(len(lsn.date.values))\n",
"X, Y = np.meshgrid(X, Y)\n",
"Z = lsn.values\n",
"\n",
"# Plot the surface.\n",
"surf = ax.plot_surface(X, Y, Z, cmap=cm)\n",
"\n",
"# Customize the z axis.\n",
"# ax.set_zlim(-1.01, 1.01)\n",
"# ax.zaxis.set_major_locator(LinearLocator(10))\n",
"# ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n",
"\n",
"# Add a color bar which maps values to colors.\n",
"fig.colorbar(surf, shrink=0.5, aspect=5)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Topography plots"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"topo = pd.read_csv(\"/Users/alinawalch/Documents/EPFL/data/meteo/locations/query_locs_13d_250.csv\")\n",
"topo = topo.set_index(['x', 'y']).to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x: 1393, y: 882)\n",
"Coordinates:\n",
" * x (x) float64 4.855e+05 4.858e+05 4.86e+05 4.862e+05 4.865e+05 ...\n",
" * y (y) float64 7.55e+04 7.575e+04 7.6e+04 7.625e+04 7.65e+04 ...\n",
"Data variables:\n",
" z (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" smallDoG (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" medDoG (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" bigDoG (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" smallSlope (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" medSlope (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" bigSlope (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" small_NS (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" small_EW (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" big_NS (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ...\n",
" big_EW (x, y) float64 nan nan nan nan nan nan nan nan nan nan nan ..."
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"topo"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### DEM"
]
},
{
"cell_type": "code",
"execution_count": 294,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X, Y = np.meshgrid(topo.x.values, topo.y.values)\n",
"Z = topo.z.where(topo.z>0, drop = True).values[:-1, :-1]\n",
"Zm = np.ma.masked_invalid(Z)\n",
"\n",
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize = (20,10))\n",
"fig = plt.pcolormesh(X,Y,Zm.T, vmin = 200, vmax = 4000)\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"fig.set_cmap(cm)\n",
"plt.title(\"Digital elevation model (DEM) of Switzerland\")\n",
"cbar = plt.colorbar(fig)\n",
"cbar.set_label('Altitude (in $m$)', labelpad=0)\n",
"\n",
"labels = [item.get_text() for item in cbar.ax.get_yticklabels()]\n",
"labels[-1] = '> 4000'\n",
"cbar.ax.set_yticklabels(labels)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Slope"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X, Y = np.meshgrid(topo.x.values, topo.y.values)\n",
"Z = topo.medSlope.where(topo.z>0, drop = True).values[:-1, :-1]\n",
"Zm = np.ma.masked_invalid(Z)\n",
"\n",
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize = (20,10))\n",
"fig = plt.pcolormesh(X,Y,Zm.T, vmin = 0, vmax = 90)\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"fig.set_cmap(cm)\n",
"plt.title(\"Terrain slope (scale = 1.75km)\")\n",
"cbar = plt.colorbar(fig)\n",
"cbar.set_label('Slope (in $degrees$)', labelpad=0)\n",
"\n",
"labels = [item.get_text() for item in cbar.ax.get_yticklabels()]\n",
"labels[-1] = '> 90'\n",
"cbar.ax.set_yticklabels(labels)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 183,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"96.216792060000003"
]
},
"execution_count": 183,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Zm.max()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Differences of gaussians"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X, Y = np.meshgrid(topo.x.values, topo.y.values)\n",
"Z = topo.medDoG.where(topo.z>0, drop = True).values[:-1, :-1]\n",
"Zm = np.ma.masked_invalid(Z)\n",
"minZ = Zm.min()\n",
"maxZ = Zm.max()\n",
"Zm = util.normalize(Zm, maxZ, minZ, lower_bound = -1, upper_bound = 1)\n",
"\n",
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize = (20,10))\n",
"fig = plt.pcolormesh(X,Y,Zm.T, vmin = -1, vmax = 1)\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"fig.set_cmap('Spectral')\n",
"plt.title(\"Terrain Convexity (scale = 1.75km)\")\n",
"cbar = plt.colorbar(fig)\n",
"cbar.set_label('Differences of gaussians (normalised)', labelpad=20)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Directional derivative (N-S)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X, Y = np.meshgrid(topo.x.values, topo.y.values)\n",
"Z = topo.big_NS.where(topo.z>0, drop = True).values[:-1, :-1]\n",
"Zm = np.ma.masked_invalid(Z)\n",
"minZ = Zm.min()\n",
"maxZ = Zm.max()\n",
"Zm = util.normalize(Zm, maxZ, minZ, lower_bound = -1, upper_bound = 1)\n",
"\n",
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize = (20,10))\n",
"fig = plt.pcolormesh(X,Y,Zm.T, vmin = -1, vmax = 1)\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"fig.set_cmap('Spectral')\n",
"plt.title(\"Directional derivative in North-South direction (scale = 1.75km)\")\n",
"cbar = plt.colorbar(fig)\n",
"cbar.set_label('Derivative (normalised)', labelpad=20)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 187,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-398577.3411\n",
"361774.6204\n"
]
}
],
"source": [
"print(Zm.min())\n",
"print(Zm.max())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Directional derivative (E-W)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X, Y = np.meshgrid(topo.x.values, topo.y.values)\n",
"Z = topo.big_EW.where(topo.z>0, drop = True).values[:-1, :-1]\n",
"Zm = np.ma.masked_invalid(Z)\n",
"minZ = Zm.min()\n",
"maxZ = Zm.max()\n",
"Zm = util.normalize(Zm, maxZ, minZ, lower_bound = -1, upper_bound = 1)\n",
"\n",
"matplotlib.rcParams.update({'font.size': 22})\n",
"plt.figure(figsize = (20,10))\n",
"fig = plt.pcolormesh(X,Y,Zm.T, vmin = -1, vmax = 1)\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"fig.set_cmap('Spectral')\n",
"plt.title(\"Directional derivative in East-West direction (scale = 1.75km)\")\n",
"cbar = plt.colorbar(fig)\n",
"cbar.set_label('Derivative (normalised)', labelpad=20)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 272,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1100215.07987\n",
"1729619.5702\n"
]
}
],
"source": [
"print(Zm.min())\n",
"print(Zm.max())"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"# Variable importances"
]
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:7: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
+ " import sys\n",
+ "/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:9: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
+ " if __name__ == '__main__':\n"
+ ]
+ }
+ ],
"source": [
- "inds = pd.read_csv('inds_all.csv')\n",
- "importances = pd.read_csv('importances_all.csv')\n",
- "stds = pd.read_csv('stds_all.csv')\n",
- "idx = pd.read_csv('RF_tests_idx.csv')\n",
+ "inds = pd.read_csv('../results/inds_all.csv')\n",
+ "importances = pd.read_csv('../results/importances_all.csv')\n",
+ "stds = pd.read_csv('../results/stds_all.csv')\n",
+ "idx = pd.read_csv('../results/RF_tests_idx.csv')\n",
"idx.rename(index=str, columns={\"month\": \"test_month\", \"hour\": \"test_hour\"}, inplace = True)\n",
"\n",
"importances_all = pd.DataFrame(data = np.hstack((idx.as_matrix(), importances.as_matrix())), columns = np.hstack((idx.columns, importances.columns)))\n",
"# importances_all = importances_all.set_index(['test_month', 'test_hour'])\n",
"stds_all = pd.DataFrame(data = np.hstack((idx.as_matrix(), stds.as_matrix())), columns = np.hstack((idx.columns, stds.columns)))\n",
"# stds_all = stds_all.set_index(['test_month', 'test_hour'])"
]
},
{
"cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
+ " \"\"\"Entry point for launching an IPython kernel.\n"
+ ]
+ }
+ ],
"source": [
"ind = np.argsort(importances).as_matrix()"
]
},
{
"cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 5,
+ "metadata": {},
"outputs": [],
"source": [
"rank = util.ranking(ind)"
]
},
{
"cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 6,
+ "metadata": {},
"outputs": [],
"source": [
"score = pd.Series(data = rank, index = importances.columns)"
]
},
{
"cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": 7,
+ "metadata": {},
"outputs": [],
"source": [
"score = score.sort_values(ascending = False)"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "z 0.868293\n",
- "x 0.852033\n",
- "y 0.793496\n",
- "DoG_m 0.660163\n",
- "DoG_s 0.585366\n",
- "DoG_l 0.548780\n",
- "EW_m 0.533740\n",
- "NS_m 0.487398\n",
- "EW_s 0.395122\n",
- "slope_l 0.347154\n",
- "slope_s 0.319106\n",
- "slope_m 0.302846\n",
- "NS_s 0.239837\n",
- "month 0.066667\n",
- "hour 0.000000\n",
+ "z 0.868293\n",
+ "x 0.852033\n",
+ "y 0.793496\n",
+ "medDoG 0.660163\n",
+ "smallDoG 0.585366\n",
+ "bigDoG 0.548780\n",
+ "big_EW 0.533740\n",
+ "big_NS 0.487398\n",
+ "small_EW 0.395122\n",
+ "bigSlope 0.347154\n",
+ "smallSlope 0.319106\n",
+ "medSlope 0.302846\n",
+ "small_NS 0.239837\n",
+ "month 0.066667\n",
+ "hour 0.000000\n",
"dtype: float64"
]
},
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"score"
]
},
{
"cell_type": "code",
- "execution_count": 83,
+ "execution_count": 9,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
- "<style>\n",
- " .dataframe thead tr:only-child th {\n",
- " text-align: right;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: left;\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>test_month</th>\n",
+ " <th>test_hour</th>\n",
" <th>hour</th>\n",
" <th>z</th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" <th>smallDoG</th>\n",
" <th>medDoG</th>\n",
" <th>bigDoG</th>\n",
" <th>smallSlope</th>\n",
" <th>medSlope</th>\n",
" <th>bigSlope</th>\n",
" <th>small_NS</th>\n",
" <th>small_EW</th>\n",
" <th>big_NS</th>\n",
" <th>big_EW</th>\n",
" <th>month</th>\n",
" </tr>\n",
- " <tr>\n",
- " <th>test_month</th>\n",
- " <th>test_hour</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 rowspan=\"11\" valign=\"top\">1.0</th>\n",
- " <th>6.0</th>\n",
+ " <th>0</th>\n",
+ " <td>1.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.026473</td>\n",
" <td>0.706728</td>\n",
" <td>0.065097</td>\n",
" <td>0.021301</td>\n",
" <td>0.024213</td>\n",
" <td>0.022279</td>\n",
" <td>0.019942</td>\n",
" <td>0.017876</td>\n",
" <td>0.018930</td>\n",
" <td>0.020599</td>\n",
" <td>0.020041</td>\n",
" <td>0.018462</td>\n",
" <td>0.018059</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>1</th>\n",
+ " <td>1.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.594219</td>\n",
" <td>0.149629</td>\n",
" <td>0.020170</td>\n",
" <td>0.019530</td>\n",
" <td>0.068949</td>\n",
" <td>0.010334</td>\n",
" <td>0.007817</td>\n",
" <td>0.014053</td>\n",
" <td>0.010041</td>\n",
" <td>0.009373</td>\n",
" <td>0.014093</td>\n",
" <td>0.026233</td>\n",
" <td>0.055558</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>2</th>\n",
+ " <td>1.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.779366</td>\n",
" <td>0.033295</td>\n",
" <td>0.020939</td>\n",
" <td>0.018694</td>\n",
" <td>0.031221</td>\n",
" <td>0.009525</td>\n",
" <td>0.006191</td>\n",
" <td>0.014698</td>\n",
" <td>0.006792</td>\n",
" <td>0.010055</td>\n",
" <td>0.022250</td>\n",
" <td>0.027840</td>\n",
" <td>0.019135</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>3</th>\n",
+ " <td>1.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.859166</td>\n",
" <td>0.015156</td>\n",
" <td>0.032180</td>\n",
" <td>0.017691</td>\n",
" <td>0.030355</td>\n",
" <td>0.006259</td>\n",
" <td>0.004076</td>\n",
" <td>0.004609</td>\n",
" <td>0.004376</td>\n",
" <td>0.006340</td>\n",
" <td>0.006739</td>\n",
" <td>0.007314</td>\n",
" <td>0.005739</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>4</th>\n",
+ " <td>1.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.861525</td>\n",
" <td>0.020824</td>\n",
" <td>0.054273</td>\n",
" <td>0.017297</td>\n",
" <td>0.016425</td>\n",
" <td>0.005678</td>\n",
" <td>0.002699</td>\n",
" <td>0.004152</td>\n",
" <td>0.003791</td>\n",
" <td>0.003365</td>\n",
" <td>0.002305</td>\n",
" <td>0.004813</td>\n",
" <td>0.002853</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>5</th>\n",
+ " <td>1.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.820754</td>\n",
" <td>0.012996</td>\n",
" <td>0.095273</td>\n",
" <td>0.016744</td>\n",
" <td>0.008171</td>\n",
" <td>0.007218</td>\n",
" <td>0.020745</td>\n",
" <td>0.003310</td>\n",
" <td>0.003040</td>\n",
" <td>0.002905</td>\n",
" <td>0.002263</td>\n",
" <td>0.003924</td>\n",
" <td>0.002658</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>6</th>\n",
+ " <td>1.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.807007</td>\n",
" <td>0.013989</td>\n",
" <td>0.114918</td>\n",
" <td>0.013799</td>\n",
" <td>0.005321</td>\n",
" <td>0.005789</td>\n",
" <td>0.019375</td>\n",
" <td>0.002662</td>\n",
" <td>0.003054</td>\n",
" <td>0.002962</td>\n",
" <td>0.002845</td>\n",
" <td>0.004360</td>\n",
" <td>0.003918</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>7</th>\n",
+ " <td>1.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.809006</td>\n",
" <td>0.013929</td>\n",
" <td>0.117691</td>\n",
" <td>0.013606</td>\n",
" <td>0.006612</td>\n",
" <td>0.005352</td>\n",
" <td>0.005051</td>\n",
" <td>0.003670</td>\n",
" <td>0.003733</td>\n",
" <td>0.004907</td>\n",
" <td>0.003618</td>\n",
" <td>0.005567</td>\n",
" <td>0.007258</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>8</th>\n",
+ " <td>1.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.734742</td>\n",
" <td>0.036763</td>\n",
" <td>0.102701</td>\n",
" <td>0.019161</td>\n",
" <td>0.025510</td>\n",
" <td>0.008403</td>\n",
" <td>0.007204</td>\n",
" <td>0.007084</td>\n",
" <td>0.007764</td>\n",
" <td>0.010424</td>\n",
" <td>0.013291</td>\n",
" <td>0.015018</td>\n",
" <td>0.011936</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>9</th>\n",
+ " <td>1.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.126401</td>\n",
" <td>0.183681</td>\n",
" <td>0.323104</td>\n",
" <td>0.026799</td>\n",
" <td>0.187769</td>\n",
" <td>0.020591</td>\n",
" <td>0.012705</td>\n",
" <td>0.013565</td>\n",
" <td>0.013013</td>\n",
" <td>0.014387</td>\n",
" <td>0.021456</td>\n",
" <td>0.028568</td>\n",
" <td>0.027962</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16.0</th>\n",
+ " <th>10</th>\n",
+ " <td>1.0</td>\n",
+ " <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>0.025712</td>\n",
" <td>0.571719</td>\n",
" <td>0.206689</td>\n",
" <td>0.020392</td>\n",
" <td>0.030307</td>\n",
" <td>0.024671</td>\n",
" <td>0.018063</td>\n",
" <td>0.016640</td>\n",
" <td>0.016714</td>\n",
" <td>0.018054</td>\n",
" <td>0.018207</td>\n",
" <td>0.016158</td>\n",
" <td>0.016675</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"12\" valign=\"top\">2.0</th>\n",
- " <th>6.0</th>\n",
+ " <th>11</th>\n",
+ " <td>2.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.515578</td>\n",
" <td>0.270369</td>\n",
" <td>0.017732</td>\n",
" <td>0.017686</td>\n",
" <td>0.039344</td>\n",
" <td>0.014218</td>\n",
" <td>0.012814</td>\n",
" <td>0.014609</td>\n",
" <td>0.012948</td>\n",
" <td>0.013939</td>\n",
" <td>0.020152</td>\n",
" <td>0.014639</td>\n",
" <td>0.035973</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>12</th>\n",
+ " <td>2.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.697826</td>\n",
" <td>0.079269</td>\n",
" <td>0.014973</td>\n",
" <td>0.022040</td>\n",
" <td>0.048150</td>\n",
" <td>0.009072</td>\n",
" <td>0.008085</td>\n",
" <td>0.012853</td>\n",
" <td>0.008860</td>\n",
" <td>0.010819</td>\n",
" <td>0.033948</td>\n",
" <td>0.017204</td>\n",
" <td>0.036901</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>13</th>\n",
+ " <td>2.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.847931</td>\n",
" <td>0.031458</td>\n",
" <td>0.021231</td>\n",
" <td>0.017073</td>\n",
" <td>0.015038</td>\n",
" <td>0.011980</td>\n",
" <td>0.005335</td>\n",
" <td>0.007772</td>\n",
" <td>0.006235</td>\n",
" <td>0.005919</td>\n",
" <td>0.013069</td>\n",
" <td>0.007564</td>\n",
" <td>0.009395</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>14</th>\n",
+ " <td>2.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.870714</td>\n",
" <td>0.020819</td>\n",
" <td>0.038764</td>\n",
" <td>0.020078</td>\n",
" <td>0.016995</td>\n",
" <td>0.006749</td>\n",
" <td>0.003140</td>\n",
" <td>0.004867</td>\n",
" <td>0.004104</td>\n",
" <td>0.002812</td>\n",
" <td>0.003610</td>\n",
" <td>0.003496</td>\n",
" <td>0.003852</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>15</th>\n",
+ " <td>2.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.837177</td>\n",
" <td>0.020603</td>\n",
" <td>0.084975</td>\n",
" <td>0.019365</td>\n",
" <td>0.012457</td>\n",
" <td>0.004579</td>\n",
" <td>0.003568</td>\n",
" <td>0.002985</td>\n",
" <td>0.002855</td>\n",
" <td>0.002400</td>\n",
" <td>0.002722</td>\n",
" <td>0.003181</td>\n",
" <td>0.003132</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>16</th>\n",
+ " <td>2.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.817475</td>\n",
" <td>0.020777</td>\n",
" <td>0.098417</td>\n",
" <td>0.020476</td>\n",
" <td>0.003792</td>\n",
" <td>0.004368</td>\n",
" <td>0.016736</td>\n",
" <td>0.002997</td>\n",
" <td>0.002935</td>\n",
" <td>0.002633</td>\n",
" <td>0.002689</td>\n",
" <td>0.003650</td>\n",
" <td>0.003056</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>17</th>\n",
+ " <td>2.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.796917</td>\n",
" <td>0.021847</td>\n",
" <td>0.126769</td>\n",
" <td>0.013764</td>\n",
" <td>0.004145</td>\n",
" <td>0.004718</td>\n",
" <td>0.010608</td>\n",
" <td>0.003159</td>\n",
" <td>0.003313</td>\n",
" <td>0.002812</td>\n",
" <td>0.003177</td>\n",
" <td>0.004465</td>\n",
" <td>0.004305</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>18</th>\n",
+ " <td>2.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.800177</td>\n",
" <td>0.019267</td>\n",
" <td>0.125745</td>\n",
" <td>0.015372</td>\n",
" <td>0.004782</td>\n",
" <td>0.005613</td>\n",
" <td>0.004429</td>\n",
" <td>0.003552</td>\n",
" <td>0.003484</td>\n",
" <td>0.002866</td>\n",
" <td>0.003501</td>\n",
" <td>0.003936</td>\n",
" <td>0.007276</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>19</th>\n",
+ " <td>2.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.785987</td>\n",
" <td>0.036451</td>\n",
" <td>0.103220</td>\n",
" <td>0.015602</td>\n",
" <td>0.007472</td>\n",
" <td>0.008982</td>\n",
" <td>0.005700</td>\n",
" <td>0.005072</td>\n",
" <td>0.004626</td>\n",
" <td>0.004708</td>\n",
" <td>0.005497</td>\n",
" <td>0.006049</td>\n",
" <td>0.010634</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>20</th>\n",
+ " <td>2.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.652270</td>\n",
" <td>0.087732</td>\n",
" <td>0.086321</td>\n",
" <td>0.022253</td>\n",
" <td>0.040888</td>\n",
" <td>0.011369</td>\n",
" <td>0.008794</td>\n",
" <td>0.011959</td>\n",
" <td>0.008845</td>\n",
" <td>0.011915</td>\n",
" <td>0.023009</td>\n",
" <td>0.015940</td>\n",
" <td>0.018704</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16.0</th>\n",
+ " <th>21</th>\n",
+ " <td>2.0</td>\n",
+ " <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>0.134268</td>\n",
" <td>0.261548</td>\n",
" <td>0.233434</td>\n",
" <td>0.026869</td>\n",
" <td>0.179449</td>\n",
" <td>0.021050</td>\n",
" <td>0.015372</td>\n",
" <td>0.015963</td>\n",
" <td>0.015111</td>\n",
" <td>0.017060</td>\n",
" <td>0.025036</td>\n",
" <td>0.018747</td>\n",
" <td>0.036092</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>17.0</th>\n",
+ " <th>22</th>\n",
+ " <td>2.0</td>\n",
+ " <td>17.0</td>\n",
" <td>0.0</td>\n",
" <td>0.031470</td>\n",
" <td>0.627001</td>\n",
" <td>0.029317</td>\n",
" <td>0.042974</td>\n",
" <td>0.038797</td>\n",
" <td>0.037165</td>\n",
" <td>0.028829</td>\n",
" <td>0.026024</td>\n",
" <td>0.027115</td>\n",
" <td>0.033474</td>\n",
" <td>0.032677</td>\n",
" <td>0.023257</td>\n",
" <td>0.021900</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"7\" valign=\"top\">3.0</th>\n",
- " <th>5.0</th>\n",
+ " <th>23</th>\n",
+ " <td>3.0</td>\n",
+ " <td>5.0</td>\n",
" <td>0.0</td>\n",
" <td>0.435487</td>\n",
" <td>0.307198</td>\n",
" <td>0.022017</td>\n",
" <td>0.022551</td>\n",
" <td>0.038852</td>\n",
" <td>0.019974</td>\n",
" <td>0.019063</td>\n",
" <td>0.018944</td>\n",
" <td>0.017761</td>\n",
" <td>0.019473</td>\n",
" <td>0.027574</td>\n",
" <td>0.017626</td>\n",
" <td>0.033478</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>6.0</th>\n",
+ " <th>24</th>\n",
+ " <td>3.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.645034</td>\n",
" <td>0.106662</td>\n",
" <td>0.018203</td>\n",
" <td>0.024345</td>\n",
" <td>0.055889</td>\n",
" <td>0.012199</td>\n",
" <td>0.010297</td>\n",
" <td>0.013239</td>\n",
" <td>0.010724</td>\n",
" <td>0.010816</td>\n",
" <td>0.040198</td>\n",
" <td>0.012541</td>\n",
" <td>0.039855</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>25</th>\n",
+ " <td>3.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.819523</td>\n",
" <td>0.041147</td>\n",
" <td>0.015725</td>\n",
" <td>0.022335</td>\n",
" <td>0.016837</td>\n",
" <td>0.010490</td>\n",
" <td>0.006976</td>\n",
" <td>0.010433</td>\n",
" <td>0.007084</td>\n",
" <td>0.007070</td>\n",
" <td>0.020573</td>\n",
" <td>0.010066</td>\n",
" <td>0.011742</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>26</th>\n",
+ " <td>3.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.871638</td>\n",
" <td>0.022842</td>\n",
" <td>0.021802</td>\n",
" <td>0.030839</td>\n",
" <td>0.006878</td>\n",
" <td>0.007525</td>\n",
" <td>0.005364</td>\n",
" <td>0.006408</td>\n",
" <td>0.004872</td>\n",
" <td>0.004493</td>\n",
" <td>0.005781</td>\n",
" <td>0.006088</td>\n",
" <td>0.005469</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>27</th>\n",
+ " <td>3.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.847073</td>\n",
" <td>0.020772</td>\n",
" <td>0.053356</td>\n",
" <td>0.030738</td>\n",
" <td>0.006034</td>\n",
" <td>0.007134</td>\n",
" <td>0.005201</td>\n",
" <td>0.005059</td>\n",
" <td>0.004555</td>\n",
" <td>0.004771</td>\n",
" <td>0.004741</td>\n",
" <td>0.005412</td>\n",
" <td>0.005154</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>28</th>\n",
+ " <td>3.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.820958</td>\n",
" <td>0.018813</td>\n",
" <td>0.084737</td>\n",
" <td>0.028016</td>\n",
" <td>0.005775</td>\n",
" <td>0.006882</td>\n",
" <td>0.005437</td>\n",
" <td>0.005058</td>\n",
" <td>0.004614</td>\n",
" <td>0.004683</td>\n",
" <td>0.005025</td>\n",
" <td>0.005090</td>\n",
" <td>0.004911</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>29</th>\n",
+ " <td>3.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.798614</td>\n",
" <td>0.020456</td>\n",
" <td>0.097082</td>\n",
" <td>0.025597</td>\n",
" <td>0.007290</td>\n",
" <td>0.008871</td>\n",
" <td>0.006963</td>\n",
" <td>0.006033</td>\n",
" <td>0.005796</td>\n",
" <td>0.005593</td>\n",
" <td>0.005829</td>\n",
" <td>0.006095</td>\n",
" <td>0.005780</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
- " <th>...</th>\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",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"9\" valign=\"top\">10.0</th>\n",
- " <th>8.0</th>\n",
+ " <th>134</th>\n",
+ " <td>10.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.751678</td>\n",
" <td>0.052851</td>\n",
" <td>0.045506</td>\n",
" <td>0.012430</td>\n",
" <td>0.051567</td>\n",
" <td>0.033624</td>\n",
" <td>0.005412</td>\n",
" <td>0.006620</td>\n",
" <td>0.008305</td>\n",
" <td>0.005031</td>\n",
" <td>0.006493</td>\n",
" <td>0.008029</td>\n",
" <td>0.012454</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>135</th>\n",
+ " <td>10.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.652172</td>\n",
" <td>0.082404</td>\n",
" <td>0.115488</td>\n",
" <td>0.011583</td>\n",
" <td>0.014315</td>\n",
" <td>0.061556</td>\n",
" <td>0.005190</td>\n",
" <td>0.006950</td>\n",
" <td>0.020822</td>\n",
" <td>0.004683</td>\n",
" <td>0.005247</td>\n",
" <td>0.009145</td>\n",
" <td>0.010445</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>136</th>\n",
+ " <td>10.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.526786</td>\n",
" <td>0.137011</td>\n",
" <td>0.201848</td>\n",
" <td>0.010871</td>\n",
" <td>0.018096</td>\n",
" <td>0.048541</td>\n",
" <td>0.006711</td>\n",
" <td>0.007748</td>\n",
" <td>0.009405</td>\n",
" <td>0.005955</td>\n",
" <td>0.006512</td>\n",
" <td>0.010368</td>\n",
" <td>0.010148</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>137</th>\n",
+ " <td>10.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.116297</td>\n",
" <td>0.234437</td>\n",
" <td>0.525427</td>\n",
" <td>0.010708</td>\n",
" <td>0.010668</td>\n",
" <td>0.030734</td>\n",
" <td>0.011053</td>\n",
" <td>0.008136</td>\n",
" <td>0.012768</td>\n",
" <td>0.007784</td>\n",
" <td>0.008002</td>\n",
" <td>0.012517</td>\n",
" <td>0.011468</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>138</th>\n",
+ " <td>10.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.072936</td>\n",
" <td>0.220813</td>\n",
" <td>0.546642</td>\n",
" <td>0.014061</td>\n",
" <td>0.014400</td>\n",
" <td>0.033096</td>\n",
" <td>0.018242</td>\n",
" <td>0.011838</td>\n",
" <td>0.018463</td>\n",
" <td>0.010367</td>\n",
" <td>0.010383</td>\n",
" <td>0.014980</td>\n",
" <td>0.013779</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>139</th>\n",
+ " <td>10.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.069870</td>\n",
" <td>0.250208</td>\n",
" <td>0.503735</td>\n",
" <td>0.015714</td>\n",
" <td>0.017149</td>\n",
" <td>0.034742</td>\n",
" <td>0.013774</td>\n",
" <td>0.012022</td>\n",
" <td>0.018583</td>\n",
" <td>0.011476</td>\n",
" <td>0.012337</td>\n",
" <td>0.017340</td>\n",
" <td>0.023050</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>140</th>\n",
+ " <td>10.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.149933</td>\n",
" <td>0.256156</td>\n",
" <td>0.339558</td>\n",
" <td>0.033934</td>\n",
" <td>0.035039</td>\n",
" <td>0.026104</td>\n",
" <td>0.016801</td>\n",
" <td>0.020371</td>\n",
" <td>0.017873</td>\n",
" <td>0.014510</td>\n",
" <td>0.025895</td>\n",
" <td>0.020117</td>\n",
" <td>0.043708</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>141</th>\n",
+ " <td>10.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.247637</td>\n",
" <td>0.384413</td>\n",
" <td>0.054945</td>\n",
" <td>0.043142</td>\n",
" <td>0.059426</td>\n",
" <td>0.025687</td>\n",
" <td>0.019758</td>\n",
" <td>0.023560</td>\n",
" <td>0.017820</td>\n",
" <td>0.018231</td>\n",
" <td>0.036983</td>\n",
" <td>0.020489</td>\n",
" <td>0.047910</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16.0</th>\n",
+ " <th>142</th>\n",
+ " <td>10.0</td>\n",
+ " <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>0.066244</td>\n",
" <td>0.518676</td>\n",
" <td>0.079786</td>\n",
" <td>0.034138</td>\n",
" <td>0.103449</td>\n",
" <td>0.026403</td>\n",
" <td>0.023353</td>\n",
" <td>0.022528</td>\n",
" <td>0.021462</td>\n",
" <td>0.023782</td>\n",
" <td>0.028158</td>\n",
" <td>0.021347</td>\n",
" <td>0.030674</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"11\" valign=\"top\">11.0</th>\n",
- " <th>6.0</th>\n",
+ " <th>143</th>\n",
+ " <td>11.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.508139</td>\n",
" <td>0.261486</td>\n",
" <td>0.025413</td>\n",
" <td>0.018697</td>\n",
" <td>0.045192</td>\n",
" <td>0.015352</td>\n",
" <td>0.013733</td>\n",
" <td>0.015068</td>\n",
" <td>0.015059</td>\n",
" <td>0.014554</td>\n",
" <td>0.017967</td>\n",
" <td>0.017551</td>\n",
" <td>0.031789</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>144</th>\n",
+ " <td>11.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.674859</td>\n",
" <td>0.066748</td>\n",
" <td>0.027757</td>\n",
" <td>0.023756</td>\n",
" <td>0.051911</td>\n",
" <td>0.012877</td>\n",
" <td>0.009920</td>\n",
" <td>0.014498</td>\n",
" <td>0.011253</td>\n",
" <td>0.013174</td>\n",
" <td>0.027817</td>\n",
" <td>0.026728</td>\n",
" <td>0.038702</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>145</th>\n",
+ " <td>11.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.790112</td>\n",
" <td>0.028083</td>\n",
" <td>0.042116</td>\n",
" <td>0.017222</td>\n",
" <td>0.020825</td>\n",
" <td>0.025736</td>\n",
" <td>0.007179</td>\n",
" <td>0.010784</td>\n",
" <td>0.008551</td>\n",
" <td>0.012107</td>\n",
" <td>0.013452</td>\n",
" <td>0.012867</td>\n",
" <td>0.010966</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>146</th>\n",
+ " <td>11.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.751974</td>\n",
" <td>0.030874</td>\n",
" <td>0.123658</td>\n",
" <td>0.012281</td>\n",
" <td>0.012331</td>\n",
" <td>0.015084</td>\n",
" <td>0.015250</td>\n",
" <td>0.012478</td>\n",
" <td>0.005272</td>\n",
" <td>0.004706</td>\n",
" <td>0.003917</td>\n",
" <td>0.007480</td>\n",
" <td>0.004695</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>147</th>\n",
+ " <td>11.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.715281</td>\n",
" <td>0.039807</td>\n",
" <td>0.167634</td>\n",
" <td>0.009347</td>\n",
" <td>0.011517</td>\n",
" <td>0.013438</td>\n",
" <td>0.011393</td>\n",
" <td>0.007132</td>\n",
" <td>0.004968</td>\n",
" <td>0.004180</td>\n",
" <td>0.003783</td>\n",
" <td>0.007054</td>\n",
" <td>0.004467</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>148</th>\n",
+ " <td>11.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.265961</td>\n",
" <td>0.038620</td>\n",
" <td>0.605422</td>\n",
" <td>0.007946</td>\n",
" <td>0.008916</td>\n",
" <td>0.011791</td>\n",
" <td>0.030338</td>\n",
" <td>0.004887</td>\n",
" <td>0.005220</td>\n",
" <td>0.004684</td>\n",
" <td>0.004265</td>\n",
" <td>0.007320</td>\n",
" <td>0.004630</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>149</th>\n",
+ " <td>11.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.261995</td>\n",
" <td>0.041864</td>\n",
" <td>0.629590</td>\n",
" <td>0.008647</td>\n",
" <td>0.007273</td>\n",
" <td>0.009082</td>\n",
" <td>0.006687</td>\n",
" <td>0.004955</td>\n",
" <td>0.005340</td>\n",
" <td>0.005528</td>\n",
" <td>0.005700</td>\n",
" <td>0.006989</td>\n",
" <td>0.006349</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>150</th>\n",
+ " <td>11.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.639535</td>\n",
" <td>0.054263</td>\n",
" <td>0.208770</td>\n",
" <td>0.014370</td>\n",
" <td>0.009501</td>\n",
" <td>0.012353</td>\n",
" <td>0.007295</td>\n",
" <td>0.006614</td>\n",
" <td>0.007067</td>\n",
" <td>0.007767</td>\n",
" <td>0.008349</td>\n",
" <td>0.010151</td>\n",
" <td>0.013965</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>151</th>\n",
+ " <td>11.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.543155</td>\n",
" <td>0.084349</td>\n",
" <td>0.178035</td>\n",
" <td>0.027297</td>\n",
" <td>0.044695</td>\n",
" <td>0.013288</td>\n",
" <td>0.009943</td>\n",
" <td>0.010547</td>\n",
" <td>0.010995</td>\n",
" <td>0.012663</td>\n",
" <td>0.021258</td>\n",
" <td>0.020560</td>\n",
" <td>0.023215</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>152</th>\n",
+ " <td>11.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.216373</td>\n",
" <td>0.437141</td>\n",
" <td>0.088155</td>\n",
" <td>0.023075</td>\n",
" <td>0.110692</td>\n",
" <td>0.014610</td>\n",
" <td>0.011758</td>\n",
" <td>0.012639</td>\n",
" <td>0.011611</td>\n",
" <td>0.012967</td>\n",
" <td>0.019725</td>\n",
" <td>0.016136</td>\n",
" <td>0.025119</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16.0</th>\n",
+ " <th>153</th>\n",
+ " <td>11.0</td>\n",
+ " <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>0.030732</td>\n",
" <td>0.663879</td>\n",
" <td>0.048957</td>\n",
" <td>0.032175</td>\n",
" <td>0.029785</td>\n",
" <td>0.029489</td>\n",
" <td>0.025222</td>\n",
" <td>0.022151</td>\n",
" <td>0.023554</td>\n",
" <td>0.026695</td>\n",
" <td>0.026946</td>\n",
" <td>0.020314</td>\n",
" <td>0.020101</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"10\" valign=\"top\">12.0</th>\n",
- " <th>6.0</th>\n",
+ " <th>154</th>\n",
+ " <td>12.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.021384</td>\n",
" <td>0.724692</td>\n",
" <td>0.087741</td>\n",
" <td>0.017401</td>\n",
" <td>0.019498</td>\n",
" <td>0.019330</td>\n",
" <td>0.016131</td>\n",
" <td>0.014735</td>\n",
" <td>0.015573</td>\n",
" <td>0.016538</td>\n",
" <td>0.016924</td>\n",
" <td>0.014979</td>\n",
" <td>0.015076</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>155</th>\n",
+ " <td>12.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.589041</td>\n",
" <td>0.142449</td>\n",
" <td>0.030651</td>\n",
" <td>0.019315</td>\n",
" <td>0.072280</td>\n",
" <td>0.010886</td>\n",
" <td>0.007642</td>\n",
" <td>0.013820</td>\n",
" <td>0.010673</td>\n",
" <td>0.009080</td>\n",
" <td>0.013849</td>\n",
" <td>0.026382</td>\n",
" <td>0.053930</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>156</th>\n",
+ " <td>12.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.754578</td>\n",
" <td>0.031781</td>\n",
" <td>0.027067</td>\n",
" <td>0.018919</td>\n",
" <td>0.037999</td>\n",
" <td>0.010200</td>\n",
" <td>0.008637</td>\n",
" <td>0.013651</td>\n",
" <td>0.010070</td>\n",
" <td>0.010218</td>\n",
" <td>0.023510</td>\n",
" <td>0.036320</td>\n",
" <td>0.017048</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>157</th>\n",
+ " <td>12.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.836954</td>\n",
" <td>0.019632</td>\n",
" <td>0.040965</td>\n",
" <td>0.015694</td>\n",
" <td>0.029454</td>\n",
" <td>0.010831</td>\n",
" <td>0.004716</td>\n",
" <td>0.006268</td>\n",
" <td>0.005520</td>\n",
" <td>0.007205</td>\n",
" <td>0.006386</td>\n",
" <td>0.009596</td>\n",
" <td>0.006779</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>158</th>\n",
+ " <td>12.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.844320</td>\n",
" <td>0.019373</td>\n",
" <td>0.061666</td>\n",
" <td>0.016361</td>\n",
" <td>0.021233</td>\n",
" <td>0.006720</td>\n",
" <td>0.003302</td>\n",
" <td>0.006144</td>\n",
" <td>0.004102</td>\n",
" <td>0.005657</td>\n",
" <td>0.002406</td>\n",
" <td>0.005399</td>\n",
" <td>0.003317</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>159</th>\n",
+ " <td>12.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.813092</td>\n",
" <td>0.032247</td>\n",
" <td>0.095139</td>\n",
" <td>0.013607</td>\n",
" <td>0.012572</td>\n",
" <td>0.007094</td>\n",
" <td>0.003760</td>\n",
" <td>0.003948</td>\n",
" <td>0.004208</td>\n",
" <td>0.003399</td>\n",
" <td>0.002316</td>\n",
" <td>0.005743</td>\n",
" <td>0.002873</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>160</th>\n",
+ " <td>12.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.798231</td>\n",
" <td>0.028667</td>\n",
" <td>0.113009</td>\n",
" <td>0.013402</td>\n",
" <td>0.010684</td>\n",
" <td>0.005698</td>\n",
" <td>0.003960</td>\n",
" <td>0.003931</td>\n",
" <td>0.004167</td>\n",
" <td>0.003821</td>\n",
" <td>0.002961</td>\n",
" <td>0.006459</td>\n",
" <td>0.005009</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>161</th>\n",
+ " <td>12.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.767803</td>\n",
" <td>0.014071</td>\n",
" <td>0.124394</td>\n",
" <td>0.014074</td>\n",
" <td>0.012923</td>\n",
" <td>0.009139</td>\n",
" <td>0.012900</td>\n",
" <td>0.005221</td>\n",
" <td>0.005922</td>\n",
" <td>0.007606</td>\n",
" <td>0.006332</td>\n",
" <td>0.009738</td>\n",
" <td>0.009878</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>162</th>\n",
+ " <td>12.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.628240</td>\n",
" <td>0.079251</td>\n",
" <td>0.096674</td>\n",
" <td>0.021561</td>\n",
" <td>0.065493</td>\n",
" <td>0.010418</td>\n",
" <td>0.007199</td>\n",
" <td>0.011508</td>\n",
" <td>0.007040</td>\n",
" <td>0.008680</td>\n",
" <td>0.016146</td>\n",
" <td>0.028294</td>\n",
" <td>0.019495</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>163</th>\n",
+ " <td>12.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.060872</td>\n",
" <td>0.479685</td>\n",
" <td>0.218444</td>\n",
" <td>0.013634</td>\n",
" <td>0.155827</td>\n",
" <td>0.008278</td>\n",
" <td>0.005466</td>\n",
" <td>0.009597</td>\n",
" <td>0.005792</td>\n",
" <td>0.005998</td>\n",
" <td>0.008614</td>\n",
" <td>0.014742</td>\n",
" <td>0.013051</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>164 rows × 15 columns</p>\n",
+ "<p>164 rows × 17 columns</p>\n",
"</div>"
],
"text/plain": [
- " hour z x y smallDoG medDoG \\\n",
- "test_month test_hour \n",
- "1.0 6.0 0.0 0.026473 0.706728 0.065097 0.021301 0.024213 \n",
- " 7.0 0.0 0.594219 0.149629 0.020170 0.019530 0.068949 \n",
- " 8.0 0.0 0.779366 0.033295 0.020939 0.018694 0.031221 \n",
- " 9.0 0.0 0.859166 0.015156 0.032180 0.017691 0.030355 \n",
- " 10.0 0.0 0.861525 0.020824 0.054273 0.017297 0.016425 \n",
- " 11.0 0.0 0.820754 0.012996 0.095273 0.016744 0.008171 \n",
- " 12.0 0.0 0.807007 0.013989 0.114918 0.013799 0.005321 \n",
- " 13.0 0.0 0.809006 0.013929 0.117691 0.013606 0.006612 \n",
- " 14.0 0.0 0.734742 0.036763 0.102701 0.019161 0.025510 \n",
- " 15.0 0.0 0.126401 0.183681 0.323104 0.026799 0.187769 \n",
- " 16.0 0.0 0.025712 0.571719 0.206689 0.020392 0.030307 \n",
- "2.0 6.0 0.0 0.515578 0.270369 0.017732 0.017686 0.039344 \n",
- " 7.0 0.0 0.697826 0.079269 0.014973 0.022040 0.048150 \n",
- " 8.0 0.0 0.847931 0.031458 0.021231 0.017073 0.015038 \n",
- " 9.0 0.0 0.870714 0.020819 0.038764 0.020078 0.016995 \n",
- " 10.0 0.0 0.837177 0.020603 0.084975 0.019365 0.012457 \n",
- " 11.0 0.0 0.817475 0.020777 0.098417 0.020476 0.003792 \n",
- " 12.0 0.0 0.796917 0.021847 0.126769 0.013764 0.004145 \n",
- " 13.0 0.0 0.800177 0.019267 0.125745 0.015372 0.004782 \n",
- " 14.0 0.0 0.785987 0.036451 0.103220 0.015602 0.007472 \n",
- " 15.0 0.0 0.652270 0.087732 0.086321 0.022253 0.040888 \n",
- " 16.0 0.0 0.134268 0.261548 0.233434 0.026869 0.179449 \n",
- " 17.0 0.0 0.031470 0.627001 0.029317 0.042974 0.038797 \n",
- "3.0 5.0 0.0 0.435487 0.307198 0.022017 0.022551 0.038852 \n",
- " 6.0 0.0 0.645034 0.106662 0.018203 0.024345 0.055889 \n",
- " 7.0 0.0 0.819523 0.041147 0.015725 0.022335 0.016837 \n",
- " 8.0 0.0 0.871638 0.022842 0.021802 0.030839 0.006878 \n",
- " 9.0 0.0 0.847073 0.020772 0.053356 0.030738 0.006034 \n",
- " 10.0 0.0 0.820958 0.018813 0.084737 0.028016 0.005775 \n",
- " 11.0 0.0 0.798614 0.020456 0.097082 0.025597 0.007290 \n",
- "... ... ... ... ... ... ... \n",
- "10.0 8.0 0.0 0.751678 0.052851 0.045506 0.012430 0.051567 \n",
- " 9.0 0.0 0.652172 0.082404 0.115488 0.011583 0.014315 \n",
- " 10.0 0.0 0.526786 0.137011 0.201848 0.010871 0.018096 \n",
- " 11.0 0.0 0.116297 0.234437 0.525427 0.010708 0.010668 \n",
- " 12.0 0.0 0.072936 0.220813 0.546642 0.014061 0.014400 \n",
- " 13.0 0.0 0.069870 0.250208 0.503735 0.015714 0.017149 \n",
- " 14.0 0.0 0.149933 0.256156 0.339558 0.033934 0.035039 \n",
- " 15.0 0.0 0.247637 0.384413 0.054945 0.043142 0.059426 \n",
- " 16.0 0.0 0.066244 0.518676 0.079786 0.034138 0.103449 \n",
- "11.0 6.0 0.0 0.508139 0.261486 0.025413 0.018697 0.045192 \n",
- " 7.0 0.0 0.674859 0.066748 0.027757 0.023756 0.051911 \n",
- " 8.0 0.0 0.790112 0.028083 0.042116 0.017222 0.020825 \n",
- " 9.0 0.0 0.751974 0.030874 0.123658 0.012281 0.012331 \n",
- " 10.0 0.0 0.715281 0.039807 0.167634 0.009347 0.011517 \n",
- " 11.0 0.0 0.265961 0.038620 0.605422 0.007946 0.008916 \n",
- " 12.0 0.0 0.261995 0.041864 0.629590 0.008647 0.007273 \n",
- " 13.0 0.0 0.639535 0.054263 0.208770 0.014370 0.009501 \n",
- " 14.0 0.0 0.543155 0.084349 0.178035 0.027297 0.044695 \n",
- " 15.0 0.0 0.216373 0.437141 0.088155 0.023075 0.110692 \n",
- " 16.0 0.0 0.030732 0.663879 0.048957 0.032175 0.029785 \n",
- "12.0 6.0 0.0 0.021384 0.724692 0.087741 0.017401 0.019498 \n",
- " 7.0 0.0 0.589041 0.142449 0.030651 0.019315 0.072280 \n",
- " 8.0 0.0 0.754578 0.031781 0.027067 0.018919 0.037999 \n",
- " 9.0 0.0 0.836954 0.019632 0.040965 0.015694 0.029454 \n",
- " 10.0 0.0 0.844320 0.019373 0.061666 0.016361 0.021233 \n",
- " 11.0 0.0 0.813092 0.032247 0.095139 0.013607 0.012572 \n",
- " 12.0 0.0 0.798231 0.028667 0.113009 0.013402 0.010684 \n",
- " 13.0 0.0 0.767803 0.014071 0.124394 0.014074 0.012923 \n",
- " 14.0 0.0 0.628240 0.079251 0.096674 0.021561 0.065493 \n",
- " 15.0 0.0 0.060872 0.479685 0.218444 0.013634 0.155827 \n",
- "\n",
- " bigDoG smallSlope medSlope bigSlope small_NS \\\n",
- "test_month test_hour \n",
- "1.0 6.0 0.022279 0.019942 0.017876 0.018930 0.020599 \n",
- " 7.0 0.010334 0.007817 0.014053 0.010041 0.009373 \n",
- " 8.0 0.009525 0.006191 0.014698 0.006792 0.010055 \n",
- " 9.0 0.006259 0.004076 0.004609 0.004376 0.006340 \n",
- " 10.0 0.005678 0.002699 0.004152 0.003791 0.003365 \n",
- " 11.0 0.007218 0.020745 0.003310 0.003040 0.002905 \n",
- " 12.0 0.005789 0.019375 0.002662 0.003054 0.002962 \n",
- " 13.0 0.005352 0.005051 0.003670 0.003733 0.004907 \n",
- " 14.0 0.008403 0.007204 0.007084 0.007764 0.010424 \n",
- " 15.0 0.020591 0.012705 0.013565 0.013013 0.014387 \n",
- " 16.0 0.024671 0.018063 0.016640 0.016714 0.018054 \n",
- "2.0 6.0 0.014218 0.012814 0.014609 0.012948 0.013939 \n",
- " 7.0 0.009072 0.008085 0.012853 0.008860 0.010819 \n",
- " 8.0 0.011980 0.005335 0.007772 0.006235 0.005919 \n",
- " 9.0 0.006749 0.003140 0.004867 0.004104 0.002812 \n",
- " 10.0 0.004579 0.003568 0.002985 0.002855 0.002400 \n",
- " 11.0 0.004368 0.016736 0.002997 0.002935 0.002633 \n",
- " 12.0 0.004718 0.010608 0.003159 0.003313 0.002812 \n",
- " 13.0 0.005613 0.004429 0.003552 0.003484 0.002866 \n",
- " 14.0 0.008982 0.005700 0.005072 0.004626 0.004708 \n",
- " 15.0 0.011369 0.008794 0.011959 0.008845 0.011915 \n",
- " 16.0 0.021050 0.015372 0.015963 0.015111 0.017060 \n",
- " 17.0 0.037165 0.028829 0.026024 0.027115 0.033474 \n",
- "3.0 5.0 0.019974 0.019063 0.018944 0.017761 0.019473 \n",
- " 6.0 0.012199 0.010297 0.013239 0.010724 0.010816 \n",
- " 7.0 0.010490 0.006976 0.010433 0.007084 0.007070 \n",
- " 8.0 0.007525 0.005364 0.006408 0.004872 0.004493 \n",
- " 9.0 0.007134 0.005201 0.005059 0.004555 0.004771 \n",
- " 10.0 0.006882 0.005437 0.005058 0.004614 0.004683 \n",
- " 11.0 0.008871 0.006963 0.006033 0.005796 0.005593 \n",
- "... ... ... ... ... ... \n",
- "10.0 8.0 0.033624 0.005412 0.006620 0.008305 0.005031 \n",
- " 9.0 0.061556 0.005190 0.006950 0.020822 0.004683 \n",
- " 10.0 0.048541 0.006711 0.007748 0.009405 0.005955 \n",
- " 11.0 0.030734 0.011053 0.008136 0.012768 0.007784 \n",
- " 12.0 0.033096 0.018242 0.011838 0.018463 0.010367 \n",
- " 13.0 0.034742 0.013774 0.012022 0.018583 0.011476 \n",
- " 14.0 0.026104 0.016801 0.020371 0.017873 0.014510 \n",
- " 15.0 0.025687 0.019758 0.023560 0.017820 0.018231 \n",
- " 16.0 0.026403 0.023353 0.022528 0.021462 0.023782 \n",
- "11.0 6.0 0.015352 0.013733 0.015068 0.015059 0.014554 \n",
- " 7.0 0.012877 0.009920 0.014498 0.011253 0.013174 \n",
- " 8.0 0.025736 0.007179 0.010784 0.008551 0.012107 \n",
- " 9.0 0.015084 0.015250 0.012478 0.005272 0.004706 \n",
- " 10.0 0.013438 0.011393 0.007132 0.004968 0.004180 \n",
- " 11.0 0.011791 0.030338 0.004887 0.005220 0.004684 \n",
- " 12.0 0.009082 0.006687 0.004955 0.005340 0.005528 \n",
- " 13.0 0.012353 0.007295 0.006614 0.007067 0.007767 \n",
- " 14.0 0.013288 0.009943 0.010547 0.010995 0.012663 \n",
- " 15.0 0.014610 0.011758 0.012639 0.011611 0.012967 \n",
- " 16.0 0.029489 0.025222 0.022151 0.023554 0.026695 \n",
- "12.0 6.0 0.019330 0.016131 0.014735 0.015573 0.016538 \n",
- " 7.0 0.010886 0.007642 0.013820 0.010673 0.009080 \n",
- " 8.0 0.010200 0.008637 0.013651 0.010070 0.010218 \n",
- " 9.0 0.010831 0.004716 0.006268 0.005520 0.007205 \n",
- " 10.0 0.006720 0.003302 0.006144 0.004102 0.005657 \n",
- " 11.0 0.007094 0.003760 0.003948 0.004208 0.003399 \n",
- " 12.0 0.005698 0.003960 0.003931 0.004167 0.003821 \n",
- " 13.0 0.009139 0.012900 0.005221 0.005922 0.007606 \n",
- " 14.0 0.010418 0.007199 0.011508 0.007040 0.008680 \n",
- " 15.0 0.008278 0.005466 0.009597 0.005792 0.005998 \n",
- "\n",
- " small_EW big_NS big_EW month \n",
- "test_month test_hour \n",
- "1.0 6.0 0.020041 0.018462 0.018059 0.0 \n",
- " 7.0 0.014093 0.026233 0.055558 0.0 \n",
- " 8.0 0.022250 0.027840 0.019135 0.0 \n",
- " 9.0 0.006739 0.007314 0.005739 0.0 \n",
- " 10.0 0.002305 0.004813 0.002853 0.0 \n",
- " 11.0 0.002263 0.003924 0.002658 0.0 \n",
- " 12.0 0.002845 0.004360 0.003918 0.0 \n",
- " 13.0 0.003618 0.005567 0.007258 0.0 \n",
- " 14.0 0.013291 0.015018 0.011936 0.0 \n",
- " 15.0 0.021456 0.028568 0.027962 0.0 \n",
- " 16.0 0.018207 0.016158 0.016675 0.0 \n",
- "2.0 6.0 0.020152 0.014639 0.035973 0.0 \n",
- " 7.0 0.033948 0.017204 0.036901 0.0 \n",
- " 8.0 0.013069 0.007564 0.009395 0.0 \n",
- " 9.0 0.003610 0.003496 0.003852 0.0 \n",
- " 10.0 0.002722 0.003181 0.003132 0.0 \n",
- " 11.0 0.002689 0.003650 0.003056 0.0 \n",
- " 12.0 0.003177 0.004465 0.004305 0.0 \n",
- " 13.0 0.003501 0.003936 0.007276 0.0 \n",
- " 14.0 0.005497 0.006049 0.010634 0.0 \n",
- " 15.0 0.023009 0.015940 0.018704 0.0 \n",
- " 16.0 0.025036 0.018747 0.036092 0.0 \n",
- " 17.0 0.032677 0.023257 0.021900 0.0 \n",
- "3.0 5.0 0.027574 0.017626 0.033478 0.0 \n",
- " 6.0 0.040198 0.012541 0.039855 0.0 \n",
- " 7.0 0.020573 0.010066 0.011742 0.0 \n",
- " 8.0 0.005781 0.006088 0.005469 0.0 \n",
- " 9.0 0.004741 0.005412 0.005154 0.0 \n",
- " 10.0 0.005025 0.005090 0.004911 0.0 \n",
- " 11.0 0.005829 0.006095 0.005780 0.0 \n",
- "... ... ... ... ... \n",
- "10.0 8.0 0.006493 0.008029 0.012454 0.0 \n",
- " 9.0 0.005247 0.009145 0.010445 0.0 \n",
- " 10.0 0.006512 0.010368 0.010148 0.0 \n",
- " 11.0 0.008002 0.012517 0.011468 0.0 \n",
- " 12.0 0.010383 0.014980 0.013779 0.0 \n",
- " 13.0 0.012337 0.017340 0.023050 0.0 \n",
- " 14.0 0.025895 0.020117 0.043708 0.0 \n",
- " 15.0 0.036983 0.020489 0.047910 0.0 \n",
- " 16.0 0.028158 0.021347 0.030674 0.0 \n",
- "11.0 6.0 0.017967 0.017551 0.031789 0.0 \n",
- " 7.0 0.027817 0.026728 0.038702 0.0 \n",
- " 8.0 0.013452 0.012867 0.010966 0.0 \n",
- " 9.0 0.003917 0.007480 0.004695 0.0 \n",
- " 10.0 0.003783 0.007054 0.004467 0.0 \n",
- " 11.0 0.004265 0.007320 0.004630 0.0 \n",
- " 12.0 0.005700 0.006989 0.006349 0.0 \n",
- " 13.0 0.008349 0.010151 0.013965 0.0 \n",
- " 14.0 0.021258 0.020560 0.023215 0.0 \n",
- " 15.0 0.019725 0.016136 0.025119 0.0 \n",
- " 16.0 0.026946 0.020314 0.020101 0.0 \n",
- "12.0 6.0 0.016924 0.014979 0.015076 0.0 \n",
- " 7.0 0.013849 0.026382 0.053930 0.0 \n",
- " 8.0 0.023510 0.036320 0.017048 0.0 \n",
- " 9.0 0.006386 0.009596 0.006779 0.0 \n",
- " 10.0 0.002406 0.005399 0.003317 0.0 \n",
- " 11.0 0.002316 0.005743 0.002873 0.0 \n",
- " 12.0 0.002961 0.006459 0.005009 0.0 \n",
- " 13.0 0.006332 0.009738 0.009878 0.0 \n",
- " 14.0 0.016146 0.028294 0.019495 0.0 \n",
- " 15.0 0.008614 0.014742 0.013051 0.0 \n",
- "\n",
- "[164 rows x 15 columns]"
+ " test_month test_hour hour z x y smallDoG \\\n",
+ "0 1.0 6.0 0.0 0.026473 0.706728 0.065097 0.021301 \n",
+ "1 1.0 7.0 0.0 0.594219 0.149629 0.020170 0.019530 \n",
+ "2 1.0 8.0 0.0 0.779366 0.033295 0.020939 0.018694 \n",
+ "3 1.0 9.0 0.0 0.859166 0.015156 0.032180 0.017691 \n",
+ "4 1.0 10.0 0.0 0.861525 0.020824 0.054273 0.017297 \n",
+ "5 1.0 11.0 0.0 0.820754 0.012996 0.095273 0.016744 \n",
+ "6 1.0 12.0 0.0 0.807007 0.013989 0.114918 0.013799 \n",
+ "7 1.0 13.0 0.0 0.809006 0.013929 0.117691 0.013606 \n",
+ "8 1.0 14.0 0.0 0.734742 0.036763 0.102701 0.019161 \n",
+ "9 1.0 15.0 0.0 0.126401 0.183681 0.323104 0.026799 \n",
+ "10 1.0 16.0 0.0 0.025712 0.571719 0.206689 0.020392 \n",
+ "11 2.0 6.0 0.0 0.515578 0.270369 0.017732 0.017686 \n",
+ "12 2.0 7.0 0.0 0.697826 0.079269 0.014973 0.022040 \n",
+ "13 2.0 8.0 0.0 0.847931 0.031458 0.021231 0.017073 \n",
+ "14 2.0 9.0 0.0 0.870714 0.020819 0.038764 0.020078 \n",
+ "15 2.0 10.0 0.0 0.837177 0.020603 0.084975 0.019365 \n",
+ "16 2.0 11.0 0.0 0.817475 0.020777 0.098417 0.020476 \n",
+ "17 2.0 12.0 0.0 0.796917 0.021847 0.126769 0.013764 \n",
+ "18 2.0 13.0 0.0 0.800177 0.019267 0.125745 0.015372 \n",
+ "19 2.0 14.0 0.0 0.785987 0.036451 0.103220 0.015602 \n",
+ "20 2.0 15.0 0.0 0.652270 0.087732 0.086321 0.022253 \n",
+ "21 2.0 16.0 0.0 0.134268 0.261548 0.233434 0.026869 \n",
+ "22 2.0 17.0 0.0 0.031470 0.627001 0.029317 0.042974 \n",
+ "23 3.0 5.0 0.0 0.435487 0.307198 0.022017 0.022551 \n",
+ "24 3.0 6.0 0.0 0.645034 0.106662 0.018203 0.024345 \n",
+ "25 3.0 7.0 0.0 0.819523 0.041147 0.015725 0.022335 \n",
+ "26 3.0 8.0 0.0 0.871638 0.022842 0.021802 0.030839 \n",
+ "27 3.0 9.0 0.0 0.847073 0.020772 0.053356 0.030738 \n",
+ "28 3.0 10.0 0.0 0.820958 0.018813 0.084737 0.028016 \n",
+ "29 3.0 11.0 0.0 0.798614 0.020456 0.097082 0.025597 \n",
+ ".. ... ... ... ... ... ... ... \n",
+ "134 10.0 8.0 0.0 0.751678 0.052851 0.045506 0.012430 \n",
+ "135 10.0 9.0 0.0 0.652172 0.082404 0.115488 0.011583 \n",
+ "136 10.0 10.0 0.0 0.526786 0.137011 0.201848 0.010871 \n",
+ "137 10.0 11.0 0.0 0.116297 0.234437 0.525427 0.010708 \n",
+ "138 10.0 12.0 0.0 0.072936 0.220813 0.546642 0.014061 \n",
+ "139 10.0 13.0 0.0 0.069870 0.250208 0.503735 0.015714 \n",
+ "140 10.0 14.0 0.0 0.149933 0.256156 0.339558 0.033934 \n",
+ "141 10.0 15.0 0.0 0.247637 0.384413 0.054945 0.043142 \n",
+ "142 10.0 16.0 0.0 0.066244 0.518676 0.079786 0.034138 \n",
+ "143 11.0 6.0 0.0 0.508139 0.261486 0.025413 0.018697 \n",
+ "144 11.0 7.0 0.0 0.674859 0.066748 0.027757 0.023756 \n",
+ "145 11.0 8.0 0.0 0.790112 0.028083 0.042116 0.017222 \n",
+ "146 11.0 9.0 0.0 0.751974 0.030874 0.123658 0.012281 \n",
+ "147 11.0 10.0 0.0 0.715281 0.039807 0.167634 0.009347 \n",
+ "148 11.0 11.0 0.0 0.265961 0.038620 0.605422 0.007946 \n",
+ "149 11.0 12.0 0.0 0.261995 0.041864 0.629590 0.008647 \n",
+ "150 11.0 13.0 0.0 0.639535 0.054263 0.208770 0.014370 \n",
+ "151 11.0 14.0 0.0 0.543155 0.084349 0.178035 0.027297 \n",
+ "152 11.0 15.0 0.0 0.216373 0.437141 0.088155 0.023075 \n",
+ "153 11.0 16.0 0.0 0.030732 0.663879 0.048957 0.032175 \n",
+ "154 12.0 6.0 0.0 0.021384 0.724692 0.087741 0.017401 \n",
+ "155 12.0 7.0 0.0 0.589041 0.142449 0.030651 0.019315 \n",
+ "156 12.0 8.0 0.0 0.754578 0.031781 0.027067 0.018919 \n",
+ "157 12.0 9.0 0.0 0.836954 0.019632 0.040965 0.015694 \n",
+ "158 12.0 10.0 0.0 0.844320 0.019373 0.061666 0.016361 \n",
+ "159 12.0 11.0 0.0 0.813092 0.032247 0.095139 0.013607 \n",
+ "160 12.0 12.0 0.0 0.798231 0.028667 0.113009 0.013402 \n",
+ "161 12.0 13.0 0.0 0.767803 0.014071 0.124394 0.014074 \n",
+ "162 12.0 14.0 0.0 0.628240 0.079251 0.096674 0.021561 \n",
+ "163 12.0 15.0 0.0 0.060872 0.479685 0.218444 0.013634 \n",
+ "\n",
+ " medDoG bigDoG smallSlope medSlope bigSlope small_NS small_EW \\\n",
+ "0 0.024213 0.022279 0.019942 0.017876 0.018930 0.020599 0.020041 \n",
+ "1 0.068949 0.010334 0.007817 0.014053 0.010041 0.009373 0.014093 \n",
+ "2 0.031221 0.009525 0.006191 0.014698 0.006792 0.010055 0.022250 \n",
+ "3 0.030355 0.006259 0.004076 0.004609 0.004376 0.006340 0.006739 \n",
+ "4 0.016425 0.005678 0.002699 0.004152 0.003791 0.003365 0.002305 \n",
+ "5 0.008171 0.007218 0.020745 0.003310 0.003040 0.002905 0.002263 \n",
+ "6 0.005321 0.005789 0.019375 0.002662 0.003054 0.002962 0.002845 \n",
+ "7 0.006612 0.005352 0.005051 0.003670 0.003733 0.004907 0.003618 \n",
+ "8 0.025510 0.008403 0.007204 0.007084 0.007764 0.010424 0.013291 \n",
+ "9 0.187769 0.020591 0.012705 0.013565 0.013013 0.014387 0.021456 \n",
+ "10 0.030307 0.024671 0.018063 0.016640 0.016714 0.018054 0.018207 \n",
+ "11 0.039344 0.014218 0.012814 0.014609 0.012948 0.013939 0.020152 \n",
+ "12 0.048150 0.009072 0.008085 0.012853 0.008860 0.010819 0.033948 \n",
+ "13 0.015038 0.011980 0.005335 0.007772 0.006235 0.005919 0.013069 \n",
+ "14 0.016995 0.006749 0.003140 0.004867 0.004104 0.002812 0.003610 \n",
+ "15 0.012457 0.004579 0.003568 0.002985 0.002855 0.002400 0.002722 \n",
+ "16 0.003792 0.004368 0.016736 0.002997 0.002935 0.002633 0.002689 \n",
+ "17 0.004145 0.004718 0.010608 0.003159 0.003313 0.002812 0.003177 \n",
+ "18 0.004782 0.005613 0.004429 0.003552 0.003484 0.002866 0.003501 \n",
+ "19 0.007472 0.008982 0.005700 0.005072 0.004626 0.004708 0.005497 \n",
+ "20 0.040888 0.011369 0.008794 0.011959 0.008845 0.011915 0.023009 \n",
+ "21 0.179449 0.021050 0.015372 0.015963 0.015111 0.017060 0.025036 \n",
+ "22 0.038797 0.037165 0.028829 0.026024 0.027115 0.033474 0.032677 \n",
+ "23 0.038852 0.019974 0.019063 0.018944 0.017761 0.019473 0.027574 \n",
+ "24 0.055889 0.012199 0.010297 0.013239 0.010724 0.010816 0.040198 \n",
+ "25 0.016837 0.010490 0.006976 0.010433 0.007084 0.007070 0.020573 \n",
+ "26 0.006878 0.007525 0.005364 0.006408 0.004872 0.004493 0.005781 \n",
+ "27 0.006034 0.007134 0.005201 0.005059 0.004555 0.004771 0.004741 \n",
+ "28 0.005775 0.006882 0.005437 0.005058 0.004614 0.004683 0.005025 \n",
+ "29 0.007290 0.008871 0.006963 0.006033 0.005796 0.005593 0.005829 \n",
+ ".. ... ... ... ... ... ... ... \n",
+ "134 0.051567 0.033624 0.005412 0.006620 0.008305 0.005031 0.006493 \n",
+ "135 0.014315 0.061556 0.005190 0.006950 0.020822 0.004683 0.005247 \n",
+ "136 0.018096 0.048541 0.006711 0.007748 0.009405 0.005955 0.006512 \n",
+ "137 0.010668 0.030734 0.011053 0.008136 0.012768 0.007784 0.008002 \n",
+ "138 0.014400 0.033096 0.018242 0.011838 0.018463 0.010367 0.010383 \n",
+ "139 0.017149 0.034742 0.013774 0.012022 0.018583 0.011476 0.012337 \n",
+ "140 0.035039 0.026104 0.016801 0.020371 0.017873 0.014510 0.025895 \n",
+ "141 0.059426 0.025687 0.019758 0.023560 0.017820 0.018231 0.036983 \n",
+ "142 0.103449 0.026403 0.023353 0.022528 0.021462 0.023782 0.028158 \n",
+ "143 0.045192 0.015352 0.013733 0.015068 0.015059 0.014554 0.017967 \n",
+ "144 0.051911 0.012877 0.009920 0.014498 0.011253 0.013174 0.027817 \n",
+ "145 0.020825 0.025736 0.007179 0.010784 0.008551 0.012107 0.013452 \n",
+ "146 0.012331 0.015084 0.015250 0.012478 0.005272 0.004706 0.003917 \n",
+ "147 0.011517 0.013438 0.011393 0.007132 0.004968 0.004180 0.003783 \n",
+ "148 0.008916 0.011791 0.030338 0.004887 0.005220 0.004684 0.004265 \n",
+ "149 0.007273 0.009082 0.006687 0.004955 0.005340 0.005528 0.005700 \n",
+ "150 0.009501 0.012353 0.007295 0.006614 0.007067 0.007767 0.008349 \n",
+ "151 0.044695 0.013288 0.009943 0.010547 0.010995 0.012663 0.021258 \n",
+ "152 0.110692 0.014610 0.011758 0.012639 0.011611 0.012967 0.019725 \n",
+ "153 0.029785 0.029489 0.025222 0.022151 0.023554 0.026695 0.026946 \n",
+ "154 0.019498 0.019330 0.016131 0.014735 0.015573 0.016538 0.016924 \n",
+ "155 0.072280 0.010886 0.007642 0.013820 0.010673 0.009080 0.013849 \n",
+ "156 0.037999 0.010200 0.008637 0.013651 0.010070 0.010218 0.023510 \n",
+ "157 0.029454 0.010831 0.004716 0.006268 0.005520 0.007205 0.006386 \n",
+ "158 0.021233 0.006720 0.003302 0.006144 0.004102 0.005657 0.002406 \n",
+ "159 0.012572 0.007094 0.003760 0.003948 0.004208 0.003399 0.002316 \n",
+ "160 0.010684 0.005698 0.003960 0.003931 0.004167 0.003821 0.002961 \n",
+ "161 0.012923 0.009139 0.012900 0.005221 0.005922 0.007606 0.006332 \n",
+ "162 0.065493 0.010418 0.007199 0.011508 0.007040 0.008680 0.016146 \n",
+ "163 0.155827 0.008278 0.005466 0.009597 0.005792 0.005998 0.008614 \n",
+ "\n",
+ " big_NS big_EW month \n",
+ "0 0.018462 0.018059 0.0 \n",
+ "1 0.026233 0.055558 0.0 \n",
+ "2 0.027840 0.019135 0.0 \n",
+ "3 0.007314 0.005739 0.0 \n",
+ "4 0.004813 0.002853 0.0 \n",
+ "5 0.003924 0.002658 0.0 \n",
+ "6 0.004360 0.003918 0.0 \n",
+ "7 0.005567 0.007258 0.0 \n",
+ "8 0.015018 0.011936 0.0 \n",
+ "9 0.028568 0.027962 0.0 \n",
+ "10 0.016158 0.016675 0.0 \n",
+ "11 0.014639 0.035973 0.0 \n",
+ "12 0.017204 0.036901 0.0 \n",
+ "13 0.007564 0.009395 0.0 \n",
+ "14 0.003496 0.003852 0.0 \n",
+ "15 0.003181 0.003132 0.0 \n",
+ "16 0.003650 0.003056 0.0 \n",
+ "17 0.004465 0.004305 0.0 \n",
+ "18 0.003936 0.007276 0.0 \n",
+ "19 0.006049 0.010634 0.0 \n",
+ "20 0.015940 0.018704 0.0 \n",
+ "21 0.018747 0.036092 0.0 \n",
+ "22 0.023257 0.021900 0.0 \n",
+ "23 0.017626 0.033478 0.0 \n",
+ "24 0.012541 0.039855 0.0 \n",
+ "25 0.010066 0.011742 0.0 \n",
+ "26 0.006088 0.005469 0.0 \n",
+ "27 0.005412 0.005154 0.0 \n",
+ "28 0.005090 0.004911 0.0 \n",
+ "29 0.006095 0.005780 0.0 \n",
+ ".. ... ... ... \n",
+ "134 0.008029 0.012454 0.0 \n",
+ "135 0.009145 0.010445 0.0 \n",
+ "136 0.010368 0.010148 0.0 \n",
+ "137 0.012517 0.011468 0.0 \n",
+ "138 0.014980 0.013779 0.0 \n",
+ "139 0.017340 0.023050 0.0 \n",
+ "140 0.020117 0.043708 0.0 \n",
+ "141 0.020489 0.047910 0.0 \n",
+ "142 0.021347 0.030674 0.0 \n",
+ "143 0.017551 0.031789 0.0 \n",
+ "144 0.026728 0.038702 0.0 \n",
+ "145 0.012867 0.010966 0.0 \n",
+ "146 0.007480 0.004695 0.0 \n",
+ "147 0.007054 0.004467 0.0 \n",
+ "148 0.007320 0.004630 0.0 \n",
+ "149 0.006989 0.006349 0.0 \n",
+ "150 0.010151 0.013965 0.0 \n",
+ "151 0.020560 0.023215 0.0 \n",
+ "152 0.016136 0.025119 0.0 \n",
+ "153 0.020314 0.020101 0.0 \n",
+ "154 0.014979 0.015076 0.0 \n",
+ "155 0.026382 0.053930 0.0 \n",
+ "156 0.036320 0.017048 0.0 \n",
+ "157 0.009596 0.006779 0.0 \n",
+ "158 0.005399 0.003317 0.0 \n",
+ "159 0.005743 0.002873 0.0 \n",
+ "160 0.006459 0.005009 0.0 \n",
+ "161 0.009738 0.009878 0.0 \n",
+ "162 0.028294 0.019495 0.0 \n",
+ "163 0.014742 0.013051 0.0 \n",
+ "\n",
+ "[164 rows x 17 columns]"
]
},
- "execution_count": 83,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"importances_all"
]
},
{
"cell_type": "code",
- "execution_count": 81,
+ "execution_count": 10,
"metadata": {
"scrolled": true
},
"outputs": [
{
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- " <th rowspan=\"11\" valign=\"top\">1.0</th>\n",
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" <td>0.001648</td>\n",
" <td>0.001569</td>\n",
" <td>0.001253</td>\n",
" <td>0.000932</td>\n",
" <td>0.002194</td>\n",
" <td>0.001078</td>\n",
" <td>0.001492</td>\n",
" <td>0.002504</td>\n",
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" <td>0.002509</td>\n",
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" <td>0.000378</td>\n",
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+ " <td>2.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.004574</td>\n",
" <td>0.004078</td>\n",
" <td>0.001879</td>\n",
" <td>0.001713</td>\n",
" <td>0.002973</td>\n",
" <td>0.001363</td>\n",
" <td>0.001358</td>\n",
" <td>0.001804</td>\n",
" <td>0.001525</td>\n",
" <td>0.001409</td>\n",
" <td>0.002521</td>\n",
" <td>0.001552</td>\n",
" <td>0.002770</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>12</th>\n",
+ " <td>2.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002522</td>\n",
" <td>0.001759</td>\n",
" <td>0.001385</td>\n",
" <td>0.001823</td>\n",
" <td>0.002153</td>\n",
" <td>0.001109</td>\n",
" <td>0.000891</td>\n",
" <td>0.001840</td>\n",
" <td>0.001232</td>\n",
" <td>0.001429</td>\n",
" <td>0.002738</td>\n",
" <td>0.001845</td>\n",
" <td>0.002988</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>13</th>\n",
+ " <td>2.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001909</td>\n",
" <td>0.001708</td>\n",
" <td>0.001642</td>\n",
" <td>0.001341</td>\n",
" <td>0.002388</td>\n",
" <td>0.002112</td>\n",
" <td>0.000743</td>\n",
" <td>0.001217</td>\n",
" <td>0.000914</td>\n",
" <td>0.000891</td>\n",
" <td>0.001081</td>\n",
" <td>0.000996</td>\n",
" <td>0.001046</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>14</th>\n",
+ " <td>2.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001317</td>\n",
" <td>0.001502</td>\n",
" <td>0.001324</td>\n",
" <td>0.000844</td>\n",
" <td>0.000993</td>\n",
" <td>0.001106</td>\n",
" <td>0.000407</td>\n",
" <td>0.000533</td>\n",
" <td>0.000559</td>\n",
" <td>0.000285</td>\n",
" <td>0.000384</td>\n",
" <td>0.000393</td>\n",
" <td>0.000416</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>15</th>\n",
+ " <td>2.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001982</td>\n",
" <td>0.001012</td>\n",
" <td>0.002171</td>\n",
" <td>0.001967</td>\n",
" <td>0.002737</td>\n",
" <td>0.001301</td>\n",
" <td>0.001945</td>\n",
" <td>0.000333</td>\n",
" <td>0.000287</td>\n",
" <td>0.000210</td>\n",
" <td>0.000237</td>\n",
" <td>0.000276</td>\n",
" <td>0.000269</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>16</th>\n",
+ " <td>2.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002767</td>\n",
" <td>0.001216</td>\n",
" <td>0.003375</td>\n",
" <td>0.001472</td>\n",
" <td>0.000913</td>\n",
" <td>0.000726</td>\n",
" <td>0.002947</td>\n",
" <td>0.000343</td>\n",
" <td>0.000274</td>\n",
" <td>0.000217</td>\n",
" <td>0.000224</td>\n",
" <td>0.000329</td>\n",
" <td>0.000282</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>17</th>\n",
+ " <td>2.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.006032</td>\n",
" <td>0.002525</td>\n",
" <td>0.003112</td>\n",
" <td>0.001427</td>\n",
" <td>0.000430</td>\n",
" <td>0.000480</td>\n",
" <td>0.006228</td>\n",
" <td>0.000312</td>\n",
" <td>0.000331</td>\n",
" <td>0.000272</td>\n",
" <td>0.000284</td>\n",
" <td>0.000383</td>\n",
" <td>0.000348</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>18</th>\n",
+ " <td>2.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002247</td>\n",
" <td>0.001485</td>\n",
" <td>0.002448</td>\n",
" <td>0.000800</td>\n",
" <td>0.000536</td>\n",
" <td>0.000507</td>\n",
" <td>0.000461</td>\n",
" <td>0.000368</td>\n",
" <td>0.000367</td>\n",
" <td>0.000254</td>\n",
" <td>0.000341</td>\n",
" <td>0.000352</td>\n",
" <td>0.000431</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>19</th>\n",
+ " <td>2.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002042</td>\n",
" <td>0.001286</td>\n",
" <td>0.001635</td>\n",
" <td>0.000775</td>\n",
" <td>0.000696</td>\n",
" <td>0.000892</td>\n",
" <td>0.000530</td>\n",
" <td>0.000611</td>\n",
" <td>0.000577</td>\n",
" <td>0.000520</td>\n",
" <td>0.000575</td>\n",
" <td>0.000610</td>\n",
" <td>0.000655</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>20</th>\n",
+ " <td>2.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.004791</td>\n",
" <td>0.004014</td>\n",
" <td>0.004466</td>\n",
" <td>0.001809</td>\n",
" <td>0.003133</td>\n",
" <td>0.001500</td>\n",
" <td>0.001206</td>\n",
" <td>0.001239</td>\n",
" <td>0.001089</td>\n",
" <td>0.001603</td>\n",
" <td>0.001949</td>\n",
" <td>0.001597</td>\n",
" <td>0.002419</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16.0</th>\n",
+ " <th>21</th>\n",
+ " <td>2.0</td>\n",
+ " <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>0.049588</td>\n",
" <td>0.021945</td>\n",
" <td>0.044673</td>\n",
" <td>0.002312</td>\n",
" <td>0.022843</td>\n",
" <td>0.002728</td>\n",
" <td>0.001555</td>\n",
" <td>0.001926</td>\n",
" <td>0.001584</td>\n",
" <td>0.001629</td>\n",
" <td>0.002496</td>\n",
" <td>0.001891</td>\n",
" <td>0.002825</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>17.0</th>\n",
+ " <th>22</th>\n",
+ " <td>2.0</td>\n",
+ " <td>17.0</td>\n",
" <td>0.0</td>\n",
" <td>0.018105</td>\n",
" <td>0.034176</td>\n",
" <td>0.017492</td>\n",
" <td>0.022111</td>\n",
" <td>0.019687</td>\n",
" <td>0.021595</td>\n",
" <td>0.017245</td>\n",
" <td>0.014542</td>\n",
" <td>0.013975</td>\n",
" <td>0.018482</td>\n",
" <td>0.018389</td>\n",
" <td>0.013769</td>\n",
" <td>0.015103</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"7\" valign=\"top\">3.0</th>\n",
- " <th>5.0</th>\n",
+ " <th>23</th>\n",
+ " <td>3.0</td>\n",
+ " <td>5.0</td>\n",
" <td>0.0</td>\n",
" <td>0.005992</td>\n",
" <td>0.005357</td>\n",
" <td>0.002385</td>\n",
" <td>0.002172</td>\n",
" <td>0.003610</td>\n",
" <td>0.001902</td>\n",
" <td>0.001803</td>\n",
" <td>0.002130</td>\n",
" <td>0.001789</td>\n",
" <td>0.001864</td>\n",
" <td>0.002997</td>\n",
" <td>0.001804</td>\n",
" <td>0.003287</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>6.0</th>\n",
+ " <th>24</th>\n",
+ " <td>3.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.004732</td>\n",
" <td>0.003165</td>\n",
" <td>0.002381</td>\n",
" <td>0.002191</td>\n",
" <td>0.003996</td>\n",
" <td>0.001326</td>\n",
" <td>0.001035</td>\n",
" <td>0.001792</td>\n",
" <td>0.001179</td>\n",
" <td>0.001226</td>\n",
" <td>0.004755</td>\n",
" <td>0.001249</td>\n",
" <td>0.005445</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>25</th>\n",
+ " <td>3.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002107</td>\n",
" <td>0.001541</td>\n",
" <td>0.001074</td>\n",
" <td>0.001788</td>\n",
" <td>0.001653</td>\n",
" <td>0.001264</td>\n",
" <td>0.000815</td>\n",
" <td>0.001668</td>\n",
" <td>0.000953</td>\n",
" <td>0.000915</td>\n",
" <td>0.001571</td>\n",
" <td>0.001127</td>\n",
" <td>0.001672</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>26</th>\n",
+ " <td>3.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001724</td>\n",
" <td>0.001330</td>\n",
" <td>0.001393</td>\n",
" <td>0.001537</td>\n",
" <td>0.001692</td>\n",
" <td>0.000929</td>\n",
" <td>0.000481</td>\n",
" <td>0.000634</td>\n",
" <td>0.000531</td>\n",
" <td>0.000418</td>\n",
" <td>0.000536</td>\n",
" <td>0.000518</td>\n",
" <td>0.000506</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>27</th>\n",
+ " <td>3.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.011863</td>\n",
" <td>0.003092</td>\n",
" <td>0.012363</td>\n",
" <td>0.002699</td>\n",
" <td>0.000964</td>\n",
" <td>0.000911</td>\n",
" <td>0.000473</td>\n",
" <td>0.000485</td>\n",
" <td>0.000411</td>\n",
" <td>0.000394</td>\n",
" <td>0.000418</td>\n",
" <td>0.000478</td>\n",
" <td>0.000439</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>28</th>\n",
+ " <td>3.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.004437</td>\n",
" <td>0.001963</td>\n",
" <td>0.004502</td>\n",
" <td>0.000975</td>\n",
" <td>0.000608</td>\n",
" <td>0.000674</td>\n",
" <td>0.000494</td>\n",
" <td>0.000437</td>\n",
" <td>0.000393</td>\n",
" <td>0.000386</td>\n",
" <td>0.000394</td>\n",
" <td>0.000449</td>\n",
" <td>0.000450</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>29</th>\n",
+ " <td>3.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002459</td>\n",
" <td>0.001614</td>\n",
" <td>0.002208</td>\n",
" <td>0.000885</td>\n",
" <td>0.000619</td>\n",
" <td>0.000964</td>\n",
" <td>0.000796</td>\n",
" <td>0.000511</td>\n",
" <td>0.000535</td>\n",
" <td>0.000460</td>\n",
" <td>0.000501</td>\n",
" <td>0.000548</td>\n",
" <td>0.000447</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
- " <th>...</th>\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",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"9\" valign=\"top\">10.0</th>\n",
- " <th>8.0</th>\n",
+ " <th>134</th>\n",
+ " <td>10.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.004300</td>\n",
" <td>0.003729</td>\n",
" <td>0.005422</td>\n",
" <td>0.002022</td>\n",
" <td>0.023180</td>\n",
" <td>0.020363</td>\n",
" <td>0.000622</td>\n",
" <td>0.001545</td>\n",
" <td>0.001165</td>\n",
" <td>0.000514</td>\n",
" <td>0.000633</td>\n",
" <td>0.000949</td>\n",
" <td>0.001635</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>135</th>\n",
+ " <td>10.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.007354</td>\n",
" <td>0.003546</td>\n",
" <td>0.015514</td>\n",
" <td>0.002420</td>\n",
" <td>0.007292</td>\n",
" <td>0.018256</td>\n",
" <td>0.000593</td>\n",
" <td>0.001954</td>\n",
" <td>0.008860</td>\n",
" <td>0.000434</td>\n",
" <td>0.000511</td>\n",
" <td>0.001030</td>\n",
" <td>0.000977</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>136</th>\n",
+ " <td>10.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.005445</td>\n",
" <td>0.004862</td>\n",
" <td>0.010558</td>\n",
" <td>0.001526</td>\n",
" <td>0.003486</td>\n",
" <td>0.004149</td>\n",
" <td>0.000872</td>\n",
" <td>0.001171</td>\n",
" <td>0.002595</td>\n",
" <td>0.000510</td>\n",
" <td>0.000553</td>\n",
" <td>0.001067</td>\n",
" <td>0.001052</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>137</th>\n",
+ " <td>10.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.003110</td>\n",
" <td>0.003611</td>\n",
" <td>0.004709</td>\n",
" <td>0.001072</td>\n",
" <td>0.001054</td>\n",
" <td>0.001756</td>\n",
" <td>0.001393</td>\n",
" <td>0.000974</td>\n",
" <td>0.001499</td>\n",
" <td>0.000650</td>\n",
" <td>0.000599</td>\n",
" <td>0.001049</td>\n",
" <td>0.001156</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>138</th>\n",
+ " <td>10.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.009024</td>\n",
" <td>0.009141</td>\n",
" <td>0.005825</td>\n",
" <td>0.001197</td>\n",
" <td>0.001852</td>\n",
" <td>0.002650</td>\n",
" <td>0.002454</td>\n",
" <td>0.001389</td>\n",
" <td>0.001821</td>\n",
" <td>0.000848</td>\n",
" <td>0.000836</td>\n",
" <td>0.001344</td>\n",
" <td>0.001373</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>139</th>\n",
+ " <td>10.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.008466</td>\n",
" <td>0.004584</td>\n",
" <td>0.005516</td>\n",
" <td>0.001296</td>\n",
" <td>0.001516</td>\n",
" <td>0.005508</td>\n",
" <td>0.002455</td>\n",
" <td>0.001329</td>\n",
" <td>0.001879</td>\n",
" <td>0.000941</td>\n",
" <td>0.001000</td>\n",
" <td>0.001785</td>\n",
" <td>0.001685</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>140</th>\n",
+ " <td>10.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.009684</td>\n",
" <td>0.004891</td>\n",
" <td>0.007601</td>\n",
" <td>0.002680</td>\n",
" <td>0.005305</td>\n",
" <td>0.002397</td>\n",
" <td>0.002175</td>\n",
" <td>0.003282</td>\n",
" <td>0.002053</td>\n",
" <td>0.001645</td>\n",
" <td>0.003031</td>\n",
" <td>0.002138</td>\n",
" <td>0.002948</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>141</th>\n",
+ " <td>10.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.007273</td>\n",
" <td>0.005386</td>\n",
" <td>0.005311</td>\n",
" <td>0.003744</td>\n",
" <td>0.006232</td>\n",
" <td>0.002944</td>\n",
" <td>0.001990</td>\n",
" <td>0.003270</td>\n",
" <td>0.001843</td>\n",
" <td>0.001811</td>\n",
" <td>0.002974</td>\n",
" <td>0.002052</td>\n",
" <td>0.003571</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16.0</th>\n",
+ " <th>142</th>\n",
+ " <td>10.0</td>\n",
+ " <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>0.010552</td>\n",
" <td>0.010859</td>\n",
" <td>0.014980</td>\n",
" <td>0.003227</td>\n",
" <td>0.008810</td>\n",
" <td>0.002593</td>\n",
" <td>0.001988</td>\n",
" <td>0.002151</td>\n",
" <td>0.001829</td>\n",
" <td>0.001955</td>\n",
" <td>0.002181</td>\n",
" <td>0.001897</td>\n",
" <td>0.002598</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"11\" valign=\"top\">11.0</th>\n",
- " <th>6.0</th>\n",
+ " <th>143</th>\n",
+ " <td>11.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.005742</td>\n",
" <td>0.004494</td>\n",
" <td>0.002257</td>\n",
" <td>0.001713</td>\n",
" <td>0.003731</td>\n",
" <td>0.001452</td>\n",
" <td>0.001286</td>\n",
" <td>0.001935</td>\n",
" <td>0.002175</td>\n",
" <td>0.001391</td>\n",
" <td>0.001742</td>\n",
" <td>0.001621</td>\n",
" <td>0.002282</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>144</th>\n",
+ " <td>11.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002965</td>\n",
" <td>0.002838</td>\n",
" <td>0.002418</td>\n",
" <td>0.002030</td>\n",
" <td>0.002930</td>\n",
" <td>0.001451</td>\n",
" <td>0.001099</td>\n",
" <td>0.001829</td>\n",
" <td>0.001529</td>\n",
" <td>0.001537</td>\n",
" <td>0.002642</td>\n",
" <td>0.001996</td>\n",
" <td>0.003100</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>145</th>\n",
+ " <td>11.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002029</td>\n",
" <td>0.002074</td>\n",
" <td>0.001774</td>\n",
" <td>0.001738</td>\n",
" <td>0.004937</td>\n",
" <td>0.004903</td>\n",
" <td>0.000926</td>\n",
" <td>0.001668</td>\n",
" <td>0.001198</td>\n",
" <td>0.001978</td>\n",
" <td>0.001543</td>\n",
" <td>0.001840</td>\n",
" <td>0.001376</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>146</th>\n",
+ " <td>11.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.003310</td>\n",
" <td>0.007708</td>\n",
" <td>0.003191</td>\n",
" <td>0.001023</td>\n",
" <td>0.004911</td>\n",
" <td>0.002765</td>\n",
" <td>0.011262</td>\n",
" <td>0.010428</td>\n",
" <td>0.000851</td>\n",
" <td>0.000638</td>\n",
" <td>0.000414</td>\n",
" <td>0.000765</td>\n",
" <td>0.000645</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>147</th>\n",
+ " <td>11.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.003700</td>\n",
" <td>0.008322</td>\n",
" <td>0.004237</td>\n",
" <td>0.000631</td>\n",
" <td>0.006355</td>\n",
" <td>0.001304</td>\n",
" <td>0.009183</td>\n",
" <td>0.006059</td>\n",
" <td>0.000758</td>\n",
" <td>0.000375</td>\n",
" <td>0.000307</td>\n",
" <td>0.000624</td>\n",
" <td>0.000508</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>148</th>\n",
+ " <td>11.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.044652</td>\n",
" <td>0.003798</td>\n",
" <td>0.043490</td>\n",
" <td>0.001113</td>\n",
" <td>0.003306</td>\n",
" <td>0.002270</td>\n",
" <td>0.005130</td>\n",
" <td>0.002527</td>\n",
" <td>0.000617</td>\n",
" <td>0.000394</td>\n",
" <td>0.000343</td>\n",
" <td>0.000675</td>\n",
" <td>0.000424</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>149</th>\n",
+ " <td>11.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.005371</td>\n",
" <td>0.012779</td>\n",
" <td>0.014128</td>\n",
" <td>0.000813</td>\n",
" <td>0.000747</td>\n",
" <td>0.001153</td>\n",
" <td>0.000591</td>\n",
" <td>0.000479</td>\n",
" <td>0.000505</td>\n",
" <td>0.000514</td>\n",
" <td>0.000511</td>\n",
" <td>0.000593</td>\n",
" <td>0.000535</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>150</th>\n",
+ " <td>11.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.005164</td>\n",
" <td>0.002680</td>\n",
" <td>0.005961</td>\n",
" <td>0.001113</td>\n",
" <td>0.000982</td>\n",
" <td>0.001459</td>\n",
" <td>0.000764</td>\n",
" <td>0.000807</td>\n",
" <td>0.000847</td>\n",
" <td>0.000876</td>\n",
" <td>0.000917</td>\n",
" <td>0.001094</td>\n",
" <td>0.001032</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>151</th>\n",
+ " <td>11.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.003876</td>\n",
" <td>0.004831</td>\n",
" <td>0.004653</td>\n",
" <td>0.001782</td>\n",
" <td>0.002716</td>\n",
" <td>0.001531</td>\n",
" <td>0.001221</td>\n",
" <td>0.001313</td>\n",
" <td>0.001487</td>\n",
" <td>0.001598</td>\n",
" <td>0.001995</td>\n",
" <td>0.001933</td>\n",
" <td>0.002014</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>152</th>\n",
+ " <td>11.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.052110</td>\n",
" <td>0.015325</td>\n",
" <td>0.026958</td>\n",
" <td>0.002700</td>\n",
" <td>0.041397</td>\n",
" <td>0.001610</td>\n",
" <td>0.001217</td>\n",
" <td>0.001610</td>\n",
" <td>0.001270</td>\n",
" <td>0.001250</td>\n",
" <td>0.001815</td>\n",
" <td>0.001667</td>\n",
" <td>0.002199</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>16.0</th>\n",
+ " <th>153</th>\n",
+ " <td>11.0</td>\n",
+ " <td>16.0</td>\n",
" <td>0.0</td>\n",
" <td>0.011810</td>\n",
" <td>0.020390</td>\n",
" <td>0.011699</td>\n",
" <td>0.010992</td>\n",
" <td>0.011233</td>\n",
" <td>0.011430</td>\n",
" <td>0.009943</td>\n",
" <td>0.008484</td>\n",
" <td>0.008920</td>\n",
" <td>0.009811</td>\n",
" <td>0.010228</td>\n",
" <td>0.008790</td>\n",
" <td>0.007768</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th rowspan=\"10\" valign=\"top\">12.0</th>\n",
- " <th>6.0</th>\n",
+ " <th>154</th>\n",
+ " <td>12.0</td>\n",
+ " <td>6.0</td>\n",
" <td>0.0</td>\n",
" <td>0.005501</td>\n",
" <td>0.008989</td>\n",
" <td>0.006841</td>\n",
" <td>0.004148</td>\n",
" <td>0.005046</td>\n",
" <td>0.005056</td>\n",
" <td>0.003630</td>\n",
" <td>0.003760</td>\n",
" <td>0.004115</td>\n",
" <td>0.003754</td>\n",
" <td>0.004048</td>\n",
" <td>0.003662</td>\n",
" <td>0.003798</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>7.0</th>\n",
+ " <th>155</th>\n",
+ " <td>12.0</td>\n",
+ " <td>7.0</td>\n",
" <td>0.0</td>\n",
" <td>0.003796</td>\n",
" <td>0.002486</td>\n",
" <td>0.002374</td>\n",
" <td>0.001544</td>\n",
" <td>0.003725</td>\n",
" <td>0.001226</td>\n",
" <td>0.001018</td>\n",
" <td>0.002261</td>\n",
" <td>0.001521</td>\n",
" <td>0.001207</td>\n",
" <td>0.001595</td>\n",
" <td>0.001784</td>\n",
" <td>0.002429</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>8.0</th>\n",
+ " <th>156</th>\n",
+ " <td>12.0</td>\n",
+ " <td>8.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002462</td>\n",
" <td>0.001859</td>\n",
" <td>0.001489</td>\n",
" <td>0.001787</td>\n",
" <td>0.001987</td>\n",
" <td>0.001505</td>\n",
" <td>0.001257</td>\n",
" <td>0.002118</td>\n",
" <td>0.001537</td>\n",
" <td>0.001504</td>\n",
" <td>0.002119</td>\n",
" <td>0.002200</td>\n",
" <td>0.002610</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>9.0</th>\n",
+ " <th>157</th>\n",
+ " <td>12.0</td>\n",
+ " <td>9.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001379</td>\n",
" <td>0.001335</td>\n",
" <td>0.001105</td>\n",
" <td>0.001300</td>\n",
" <td>0.001391</td>\n",
" <td>0.001492</td>\n",
" <td>0.000721</td>\n",
" <td>0.001186</td>\n",
" <td>0.000988</td>\n",
" <td>0.001057</td>\n",
" <td>0.001012</td>\n",
" <td>0.001630</td>\n",
" <td>0.001178</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>10.0</th>\n",
+ " <th>158</th>\n",
+ " <td>12.0</td>\n",
+ " <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001176</td>\n",
" <td>0.003924</td>\n",
" <td>0.003961</td>\n",
" <td>0.000991</td>\n",
" <td>0.007846</td>\n",
" <td>0.002072</td>\n",
" <td>0.000480</td>\n",
" <td>0.000849</td>\n",
" <td>0.000658</td>\n",
" <td>0.000736</td>\n",
" <td>0.000425</td>\n",
" <td>0.000698</td>\n",
" <td>0.000529</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>11.0</th>\n",
+ " <th>159</th>\n",
+ " <td>12.0</td>\n",
+ " <td>11.0</td>\n",
" <td>0.0</td>\n",
" <td>0.009681</td>\n",
" <td>0.005943</td>\n",
" <td>0.004772</td>\n",
" <td>0.000960</td>\n",
" <td>0.002077</td>\n",
" <td>0.002011</td>\n",
" <td>0.000450</td>\n",
" <td>0.000783</td>\n",
" <td>0.000784</td>\n",
" <td>0.000543</td>\n",
" <td>0.000341</td>\n",
" <td>0.000932</td>\n",
" <td>0.000421</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>12.0</th>\n",
+ " <th>160</th>\n",
+ " <td>12.0</td>\n",
+ " <td>12.0</td>\n",
" <td>0.0</td>\n",
" <td>0.001847</td>\n",
" <td>0.000833</td>\n",
" <td>0.001935</td>\n",
" <td>0.000922</td>\n",
" <td>0.001072</td>\n",
" <td>0.000563</td>\n",
" <td>0.000430</td>\n",
" <td>0.000683</td>\n",
" <td>0.000651</td>\n",
" <td>0.000471</td>\n",
" <td>0.000320</td>\n",
" <td>0.000683</td>\n",
" <td>0.000529</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>13.0</th>\n",
+ " <th>161</th>\n",
+ " <td>12.0</td>\n",
+ " <td>13.0</td>\n",
" <td>0.0</td>\n",
" <td>0.004637</td>\n",
" <td>0.002784</td>\n",
" <td>0.003823</td>\n",
" <td>0.000951</td>\n",
" <td>0.001175</td>\n",
" <td>0.000846</td>\n",
" <td>0.007341</td>\n",
" <td>0.000873</td>\n",
" <td>0.000902</td>\n",
" <td>0.000852</td>\n",
" <td>0.000868</td>\n",
" <td>0.001018</td>\n",
" <td>0.000848</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>14.0</th>\n",
+ " <th>162</th>\n",
+ " <td>12.0</td>\n",
+ " <td>14.0</td>\n",
" <td>0.0</td>\n",
" <td>0.002179</td>\n",
" <td>0.002291</td>\n",
" <td>0.002052</td>\n",
" <td>0.001772</td>\n",
" <td>0.001939</td>\n",
" <td>0.001174</td>\n",
" <td>0.000974</td>\n",
" <td>0.001423</td>\n",
" <td>0.000976</td>\n",
" <td>0.001591</td>\n",
" <td>0.001612</td>\n",
" <td>0.001892</td>\n",
" <td>0.002051</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>15.0</th>\n",
+ " <th>163</th>\n",
+ " <td>12.0</td>\n",
+ " <td>15.0</td>\n",
" <td>0.0</td>\n",
" <td>0.003316</td>\n",
" <td>0.002602</td>\n",
" <td>0.008022</td>\n",
" <td>0.001600</td>\n",
" <td>0.007472</td>\n",
" <td>0.001202</td>\n",
" <td>0.000864</td>\n",
" <td>0.001149</td>\n",
" <td>0.000960</td>\n",
" <td>0.000826</td>\n",
" <td>0.001004</td>\n",
" <td>0.001462</td>\n",
" <td>0.001171</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>164 rows × 15 columns</p>\n",
+ "<p>164 rows × 17 columns</p>\n",
"</div>"
],
"text/plain": [
- " hour z x y smallDoG medDoG \\\n",
- "test_month test_hour \n",
- "1.0 6.0 0.0 0.007957 0.013318 0.009354 0.006285 0.007895 \n",
- " 7.0 0.0 0.003482 0.003383 0.001685 0.001695 0.002933 \n",
- " 8.0 0.0 0.002045 0.002159 0.001396 0.001648 0.001569 \n",
- " 9.0 0.0 0.001451 0.001141 0.001470 0.001174 0.002186 \n",
- " 10.0 0.0 0.001346 0.001467 0.002159 0.000948 0.004070 \n",
- " 11.0 0.0 0.003425 0.001846 0.002367 0.002546 0.003095 \n",
- " 12.0 0.0 0.003286 0.000960 0.002866 0.000935 0.001074 \n",
- " 13.0 0.0 0.002772 0.001046 0.002776 0.000766 0.000588 \n",
- " 14.0 0.0 0.002317 0.001696 0.001981 0.001296 0.001736 \n",
- " 15.0 0.0 0.086970 0.041024 0.090357 0.002516 0.035335 \n",
- " 16.0 0.0 0.004178 0.005353 0.005422 0.002123 0.004240 \n",
- "2.0 6.0 0.0 0.004574 0.004078 0.001879 0.001713 0.002973 \n",
- " 7.0 0.0 0.002522 0.001759 0.001385 0.001823 0.002153 \n",
- " 8.0 0.0 0.001909 0.001708 0.001642 0.001341 0.002388 \n",
- " 9.0 0.0 0.001317 0.001502 0.001324 0.000844 0.000993 \n",
- " 10.0 0.0 0.001982 0.001012 0.002171 0.001967 0.002737 \n",
- " 11.0 0.0 0.002767 0.001216 0.003375 0.001472 0.000913 \n",
- " 12.0 0.0 0.006032 0.002525 0.003112 0.001427 0.000430 \n",
- " 13.0 0.0 0.002247 0.001485 0.002448 0.000800 0.000536 \n",
- " 14.0 0.0 0.002042 0.001286 0.001635 0.000775 0.000696 \n",
- " 15.0 0.0 0.004791 0.004014 0.004466 0.001809 0.003133 \n",
- " 16.0 0.0 0.049588 0.021945 0.044673 0.002312 0.022843 \n",
- " 17.0 0.0 0.018105 0.034176 0.017492 0.022111 0.019687 \n",
- "3.0 5.0 0.0 0.005992 0.005357 0.002385 0.002172 0.003610 \n",
- " 6.0 0.0 0.004732 0.003165 0.002381 0.002191 0.003996 \n",
- " 7.0 0.0 0.002107 0.001541 0.001074 0.001788 0.001653 \n",
- " 8.0 0.0 0.001724 0.001330 0.001393 0.001537 0.001692 \n",
- " 9.0 0.0 0.011863 0.003092 0.012363 0.002699 0.000964 \n",
- " 10.0 0.0 0.004437 0.001963 0.004502 0.000975 0.000608 \n",
- " 11.0 0.0 0.002459 0.001614 0.002208 0.000885 0.000619 \n",
- "... ... ... ... ... ... ... \n",
- "10.0 8.0 0.0 0.004300 0.003729 0.005422 0.002022 0.023180 \n",
- " 9.0 0.0 0.007354 0.003546 0.015514 0.002420 0.007292 \n",
- " 10.0 0.0 0.005445 0.004862 0.010558 0.001526 0.003486 \n",
- " 11.0 0.0 0.003110 0.003611 0.004709 0.001072 0.001054 \n",
- " 12.0 0.0 0.009024 0.009141 0.005825 0.001197 0.001852 \n",
- " 13.0 0.0 0.008466 0.004584 0.005516 0.001296 0.001516 \n",
- " 14.0 0.0 0.009684 0.004891 0.007601 0.002680 0.005305 \n",
- " 15.0 0.0 0.007273 0.005386 0.005311 0.003744 0.006232 \n",
- " 16.0 0.0 0.010552 0.010859 0.014980 0.003227 0.008810 \n",
- "11.0 6.0 0.0 0.005742 0.004494 0.002257 0.001713 0.003731 \n",
- " 7.0 0.0 0.002965 0.002838 0.002418 0.002030 0.002930 \n",
- " 8.0 0.0 0.002029 0.002074 0.001774 0.001738 0.004937 \n",
- " 9.0 0.0 0.003310 0.007708 0.003191 0.001023 0.004911 \n",
- " 10.0 0.0 0.003700 0.008322 0.004237 0.000631 0.006355 \n",
- " 11.0 0.0 0.044652 0.003798 0.043490 0.001113 0.003306 \n",
- " 12.0 0.0 0.005371 0.012779 0.014128 0.000813 0.000747 \n",
- " 13.0 0.0 0.005164 0.002680 0.005961 0.001113 0.000982 \n",
- " 14.0 0.0 0.003876 0.004831 0.004653 0.001782 0.002716 \n",
- " 15.0 0.0 0.052110 0.015325 0.026958 0.002700 0.041397 \n",
- " 16.0 0.0 0.011810 0.020390 0.011699 0.010992 0.011233 \n",
- "12.0 6.0 0.0 0.005501 0.008989 0.006841 0.004148 0.005046 \n",
- " 7.0 0.0 0.003796 0.002486 0.002374 0.001544 0.003725 \n",
- " 8.0 0.0 0.002462 0.001859 0.001489 0.001787 0.001987 \n",
- " 9.0 0.0 0.001379 0.001335 0.001105 0.001300 0.001391 \n",
- " 10.0 0.0 0.001176 0.003924 0.003961 0.000991 0.007846 \n",
- " 11.0 0.0 0.009681 0.005943 0.004772 0.000960 0.002077 \n",
- " 12.0 0.0 0.001847 0.000833 0.001935 0.000922 0.001072 \n",
- " 13.0 0.0 0.004637 0.002784 0.003823 0.000951 0.001175 \n",
- " 14.0 0.0 0.002179 0.002291 0.002052 0.001772 0.001939 \n",
- " 15.0 0.0 0.003316 0.002602 0.008022 0.001600 0.007472 \n",
- "\n",
- " bigDoG smallSlope medSlope bigSlope small_NS \\\n",
- "test_month test_hour \n",
- "1.0 6.0 0.007232 0.005697 0.005479 0.005674 0.005738 \n",
- " 7.0 0.001203 0.001058 0.001896 0.001354 0.001135 \n",
- " 8.0 0.001253 0.000932 0.002194 0.001078 0.001492 \n",
- " 9.0 0.002067 0.000644 0.000875 0.000770 0.000974 \n",
- " 10.0 0.002171 0.000407 0.000647 0.000598 0.000467 \n",
- " 11.0 0.001322 0.000880 0.000368 0.000437 0.000315 \n",
- " 12.0 0.001214 0.000807 0.000337 0.000455 0.000294 \n",
- " 13.0 0.000494 0.003563 0.000440 0.000480 0.000467 \n",
- " 14.0 0.000917 0.000778 0.000919 0.001307 0.001426 \n",
- " 15.0 0.006609 0.001476 0.001806 0.001421 0.001487 \n",
- " 16.0 0.004100 0.001895 0.001865 0.001899 0.001895 \n",
- "2.0 6.0 0.001363 0.001358 0.001804 0.001525 0.001409 \n",
- " 7.0 0.001109 0.000891 0.001840 0.001232 0.001429 \n",
- " 8.0 0.002112 0.000743 0.001217 0.000914 0.000891 \n",
- " 9.0 0.001106 0.000407 0.000533 0.000559 0.000285 \n",
- " 10.0 0.001301 0.001945 0.000333 0.000287 0.000210 \n",
- " 11.0 0.000726 0.002947 0.000343 0.000274 0.000217 \n",
- " 12.0 0.000480 0.006228 0.000312 0.000331 0.000272 \n",
- " 13.0 0.000507 0.000461 0.000368 0.000367 0.000254 \n",
- " 14.0 0.000892 0.000530 0.000611 0.000577 0.000520 \n",
- " 15.0 0.001500 0.001206 0.001239 0.001089 0.001603 \n",
- " 16.0 0.002728 0.001555 0.001926 0.001584 0.001629 \n",
- " 17.0 0.021595 0.017245 0.014542 0.013975 0.018482 \n",
- "3.0 5.0 0.001902 0.001803 0.002130 0.001789 0.001864 \n",
- " 6.0 0.001326 0.001035 0.001792 0.001179 0.001226 \n",
- " 7.0 0.001264 0.000815 0.001668 0.000953 0.000915 \n",
- " 8.0 0.000929 0.000481 0.000634 0.000531 0.000418 \n",
- " 9.0 0.000911 0.000473 0.000485 0.000411 0.000394 \n",
- " 10.0 0.000674 0.000494 0.000437 0.000393 0.000386 \n",
- " 11.0 0.000964 0.000796 0.000511 0.000535 0.000460 \n",
- "... ... ... ... ... ... \n",
- "10.0 8.0 0.020363 0.000622 0.001545 0.001165 0.000514 \n",
- " 9.0 0.018256 0.000593 0.001954 0.008860 0.000434 \n",
- " 10.0 0.004149 0.000872 0.001171 0.002595 0.000510 \n",
- " 11.0 0.001756 0.001393 0.000974 0.001499 0.000650 \n",
- " 12.0 0.002650 0.002454 0.001389 0.001821 0.000848 \n",
- " 13.0 0.005508 0.002455 0.001329 0.001879 0.000941 \n",
- " 14.0 0.002397 0.002175 0.003282 0.002053 0.001645 \n",
- " 15.0 0.002944 0.001990 0.003270 0.001843 0.001811 \n",
- " 16.0 0.002593 0.001988 0.002151 0.001829 0.001955 \n",
- "11.0 6.0 0.001452 0.001286 0.001935 0.002175 0.001391 \n",
- " 7.0 0.001451 0.001099 0.001829 0.001529 0.001537 \n",
- " 8.0 0.004903 0.000926 0.001668 0.001198 0.001978 \n",
- " 9.0 0.002765 0.011262 0.010428 0.000851 0.000638 \n",
- " 10.0 0.001304 0.009183 0.006059 0.000758 0.000375 \n",
- " 11.0 0.002270 0.005130 0.002527 0.000617 0.000394 \n",
- " 12.0 0.001153 0.000591 0.000479 0.000505 0.000514 \n",
- " 13.0 0.001459 0.000764 0.000807 0.000847 0.000876 \n",
- " 14.0 0.001531 0.001221 0.001313 0.001487 0.001598 \n",
- " 15.0 0.001610 0.001217 0.001610 0.001270 0.001250 \n",
- " 16.0 0.011430 0.009943 0.008484 0.008920 0.009811 \n",
- "12.0 6.0 0.005056 0.003630 0.003760 0.004115 0.003754 \n",
- " 7.0 0.001226 0.001018 0.002261 0.001521 0.001207 \n",
- " 8.0 0.001505 0.001257 0.002118 0.001537 0.001504 \n",
- " 9.0 0.001492 0.000721 0.001186 0.000988 0.001057 \n",
- " 10.0 0.002072 0.000480 0.000849 0.000658 0.000736 \n",
- " 11.0 0.002011 0.000450 0.000783 0.000784 0.000543 \n",
- " 12.0 0.000563 0.000430 0.000683 0.000651 0.000471 \n",
- " 13.0 0.000846 0.007341 0.000873 0.000902 0.000852 \n",
- " 14.0 0.001174 0.000974 0.001423 0.000976 0.001591 \n",
- " 15.0 0.001202 0.000864 0.001149 0.000960 0.000826 \n",
- "\n",
- " small_EW big_NS big_EW month \n",
- "test_month test_hour \n",
- "1.0 6.0 0.005582 0.005698 0.005168 0.0 \n",
- " 7.0 0.001992 0.002014 0.003158 0.0 \n",
- " 8.0 0.002504 0.002259 0.002509 0.0 \n",
- " 9.0 0.000942 0.000901 0.000987 0.0 \n",
- " 10.0 0.000293 0.000537 0.000365 0.0 \n",
- " 11.0 0.000224 0.000486 0.000278 0.0 \n",
- " 12.0 0.000254 0.000439 0.000361 0.0 \n",
- " 13.0 0.000378 0.000600 0.000489 0.0 \n",
- " 14.0 0.001128 0.001349 0.001216 0.0 \n",
- " 15.0 0.002079 0.002098 0.002252 0.0 \n",
- " 16.0 0.001846 0.001770 0.001910 0.0 \n",
- "2.0 6.0 0.002521 0.001552 0.002770 0.0 \n",
- " 7.0 0.002738 0.001845 0.002988 0.0 \n",
- " 8.0 0.001081 0.000996 0.001046 0.0 \n",
- " 9.0 0.000384 0.000393 0.000416 0.0 \n",
- " 10.0 0.000237 0.000276 0.000269 0.0 \n",
- " 11.0 0.000224 0.000329 0.000282 0.0 \n",
- " 12.0 0.000284 0.000383 0.000348 0.0 \n",
- " 13.0 0.000341 0.000352 0.000431 0.0 \n",
- " 14.0 0.000575 0.000610 0.000655 0.0 \n",
- " 15.0 0.001949 0.001597 0.002419 0.0 \n",
- " 16.0 0.002496 0.001891 0.002825 0.0 \n",
- " 17.0 0.018389 0.013769 0.015103 0.0 \n",
- "3.0 5.0 0.002997 0.001804 0.003287 0.0 \n",
- " 6.0 0.004755 0.001249 0.005445 0.0 \n",
- " 7.0 0.001571 0.001127 0.001672 0.0 \n",
- " 8.0 0.000536 0.000518 0.000506 0.0 \n",
- " 9.0 0.000418 0.000478 0.000439 0.0 \n",
- " 10.0 0.000394 0.000449 0.000450 0.0 \n",
- " 11.0 0.000501 0.000548 0.000447 0.0 \n",
- "... ... ... ... ... \n",
- "10.0 8.0 0.000633 0.000949 0.001635 0.0 \n",
- " 9.0 0.000511 0.001030 0.000977 0.0 \n",
- " 10.0 0.000553 0.001067 0.001052 0.0 \n",
- " 11.0 0.000599 0.001049 0.001156 0.0 \n",
- " 12.0 0.000836 0.001344 0.001373 0.0 \n",
- " 13.0 0.001000 0.001785 0.001685 0.0 \n",
- " 14.0 0.003031 0.002138 0.002948 0.0 \n",
- " 15.0 0.002974 0.002052 0.003571 0.0 \n",
- " 16.0 0.002181 0.001897 0.002598 0.0 \n",
- "11.0 6.0 0.001742 0.001621 0.002282 0.0 \n",
- " 7.0 0.002642 0.001996 0.003100 0.0 \n",
- " 8.0 0.001543 0.001840 0.001376 0.0 \n",
- " 9.0 0.000414 0.000765 0.000645 0.0 \n",
- " 10.0 0.000307 0.000624 0.000508 0.0 \n",
- " 11.0 0.000343 0.000675 0.000424 0.0 \n",
- " 12.0 0.000511 0.000593 0.000535 0.0 \n",
- " 13.0 0.000917 0.001094 0.001032 0.0 \n",
- " 14.0 0.001995 0.001933 0.002014 0.0 \n",
- " 15.0 0.001815 0.001667 0.002199 0.0 \n",
- " 16.0 0.010228 0.008790 0.007768 0.0 \n",
- "12.0 6.0 0.004048 0.003662 0.003798 0.0 \n",
- " 7.0 0.001595 0.001784 0.002429 0.0 \n",
- " 8.0 0.002119 0.002200 0.002610 0.0 \n",
- " 9.0 0.001012 0.001630 0.001178 0.0 \n",
- " 10.0 0.000425 0.000698 0.000529 0.0 \n",
- " 11.0 0.000341 0.000932 0.000421 0.0 \n",
- " 12.0 0.000320 0.000683 0.000529 0.0 \n",
- " 13.0 0.000868 0.001018 0.000848 0.0 \n",
- " 14.0 0.001612 0.001892 0.002051 0.0 \n",
- " 15.0 0.001004 0.001462 0.001171 0.0 \n",
- "\n",
- "[164 rows x 15 columns]"
+ " test_month test_hour hour z x y smallDoG \\\n",
+ "0 1.0 6.0 0.0 0.007957 0.013318 0.009354 0.006285 \n",
+ "1 1.0 7.0 0.0 0.003482 0.003383 0.001685 0.001695 \n",
+ "2 1.0 8.0 0.0 0.002045 0.002159 0.001396 0.001648 \n",
+ "3 1.0 9.0 0.0 0.001451 0.001141 0.001470 0.001174 \n",
+ "4 1.0 10.0 0.0 0.001346 0.001467 0.002159 0.000948 \n",
+ "5 1.0 11.0 0.0 0.003425 0.001846 0.002367 0.002546 \n",
+ "6 1.0 12.0 0.0 0.003286 0.000960 0.002866 0.000935 \n",
+ "7 1.0 13.0 0.0 0.002772 0.001046 0.002776 0.000766 \n",
+ "8 1.0 14.0 0.0 0.002317 0.001696 0.001981 0.001296 \n",
+ "9 1.0 15.0 0.0 0.086970 0.041024 0.090357 0.002516 \n",
+ "10 1.0 16.0 0.0 0.004178 0.005353 0.005422 0.002123 \n",
+ "11 2.0 6.0 0.0 0.004574 0.004078 0.001879 0.001713 \n",
+ "12 2.0 7.0 0.0 0.002522 0.001759 0.001385 0.001823 \n",
+ "13 2.0 8.0 0.0 0.001909 0.001708 0.001642 0.001341 \n",
+ "14 2.0 9.0 0.0 0.001317 0.001502 0.001324 0.000844 \n",
+ "15 2.0 10.0 0.0 0.001982 0.001012 0.002171 0.001967 \n",
+ "16 2.0 11.0 0.0 0.002767 0.001216 0.003375 0.001472 \n",
+ "17 2.0 12.0 0.0 0.006032 0.002525 0.003112 0.001427 \n",
+ "18 2.0 13.0 0.0 0.002247 0.001485 0.002448 0.000800 \n",
+ "19 2.0 14.0 0.0 0.002042 0.001286 0.001635 0.000775 \n",
+ "20 2.0 15.0 0.0 0.004791 0.004014 0.004466 0.001809 \n",
+ "21 2.0 16.0 0.0 0.049588 0.021945 0.044673 0.002312 \n",
+ "22 2.0 17.0 0.0 0.018105 0.034176 0.017492 0.022111 \n",
+ "23 3.0 5.0 0.0 0.005992 0.005357 0.002385 0.002172 \n",
+ "24 3.0 6.0 0.0 0.004732 0.003165 0.002381 0.002191 \n",
+ "25 3.0 7.0 0.0 0.002107 0.001541 0.001074 0.001788 \n",
+ "26 3.0 8.0 0.0 0.001724 0.001330 0.001393 0.001537 \n",
+ "27 3.0 9.0 0.0 0.011863 0.003092 0.012363 0.002699 \n",
+ "28 3.0 10.0 0.0 0.004437 0.001963 0.004502 0.000975 \n",
+ "29 3.0 11.0 0.0 0.002459 0.001614 0.002208 0.000885 \n",
+ ".. ... ... ... ... ... ... ... \n",
+ "134 10.0 8.0 0.0 0.004300 0.003729 0.005422 0.002022 \n",
+ "135 10.0 9.0 0.0 0.007354 0.003546 0.015514 0.002420 \n",
+ "136 10.0 10.0 0.0 0.005445 0.004862 0.010558 0.001526 \n",
+ "137 10.0 11.0 0.0 0.003110 0.003611 0.004709 0.001072 \n",
+ "138 10.0 12.0 0.0 0.009024 0.009141 0.005825 0.001197 \n",
+ "139 10.0 13.0 0.0 0.008466 0.004584 0.005516 0.001296 \n",
+ "140 10.0 14.0 0.0 0.009684 0.004891 0.007601 0.002680 \n",
+ "141 10.0 15.0 0.0 0.007273 0.005386 0.005311 0.003744 \n",
+ "142 10.0 16.0 0.0 0.010552 0.010859 0.014980 0.003227 \n",
+ "143 11.0 6.0 0.0 0.005742 0.004494 0.002257 0.001713 \n",
+ "144 11.0 7.0 0.0 0.002965 0.002838 0.002418 0.002030 \n",
+ "145 11.0 8.0 0.0 0.002029 0.002074 0.001774 0.001738 \n",
+ "146 11.0 9.0 0.0 0.003310 0.007708 0.003191 0.001023 \n",
+ "147 11.0 10.0 0.0 0.003700 0.008322 0.004237 0.000631 \n",
+ "148 11.0 11.0 0.0 0.044652 0.003798 0.043490 0.001113 \n",
+ "149 11.0 12.0 0.0 0.005371 0.012779 0.014128 0.000813 \n",
+ "150 11.0 13.0 0.0 0.005164 0.002680 0.005961 0.001113 \n",
+ "151 11.0 14.0 0.0 0.003876 0.004831 0.004653 0.001782 \n",
+ "152 11.0 15.0 0.0 0.052110 0.015325 0.026958 0.002700 \n",
+ "153 11.0 16.0 0.0 0.011810 0.020390 0.011699 0.010992 \n",
+ "154 12.0 6.0 0.0 0.005501 0.008989 0.006841 0.004148 \n",
+ "155 12.0 7.0 0.0 0.003796 0.002486 0.002374 0.001544 \n",
+ "156 12.0 8.0 0.0 0.002462 0.001859 0.001489 0.001787 \n",
+ "157 12.0 9.0 0.0 0.001379 0.001335 0.001105 0.001300 \n",
+ "158 12.0 10.0 0.0 0.001176 0.003924 0.003961 0.000991 \n",
+ "159 12.0 11.0 0.0 0.009681 0.005943 0.004772 0.000960 \n",
+ "160 12.0 12.0 0.0 0.001847 0.000833 0.001935 0.000922 \n",
+ "161 12.0 13.0 0.0 0.004637 0.002784 0.003823 0.000951 \n",
+ "162 12.0 14.0 0.0 0.002179 0.002291 0.002052 0.001772 \n",
+ "163 12.0 15.0 0.0 0.003316 0.002602 0.008022 0.001600 \n",
+ "\n",
+ " medDoG bigDoG smallSlope medSlope bigSlope small_NS small_EW \\\n",
+ "0 0.007895 0.007232 0.005697 0.005479 0.005674 0.005738 0.005582 \n",
+ "1 0.002933 0.001203 0.001058 0.001896 0.001354 0.001135 0.001992 \n",
+ "2 0.001569 0.001253 0.000932 0.002194 0.001078 0.001492 0.002504 \n",
+ "3 0.002186 0.002067 0.000644 0.000875 0.000770 0.000974 0.000942 \n",
+ "4 0.004070 0.002171 0.000407 0.000647 0.000598 0.000467 0.000293 \n",
+ "5 0.003095 0.001322 0.000880 0.000368 0.000437 0.000315 0.000224 \n",
+ "6 0.001074 0.001214 0.000807 0.000337 0.000455 0.000294 0.000254 \n",
+ "7 0.000588 0.000494 0.003563 0.000440 0.000480 0.000467 0.000378 \n",
+ "8 0.001736 0.000917 0.000778 0.000919 0.001307 0.001426 0.001128 \n",
+ "9 0.035335 0.006609 0.001476 0.001806 0.001421 0.001487 0.002079 \n",
+ "10 0.004240 0.004100 0.001895 0.001865 0.001899 0.001895 0.001846 \n",
+ "11 0.002973 0.001363 0.001358 0.001804 0.001525 0.001409 0.002521 \n",
+ "12 0.002153 0.001109 0.000891 0.001840 0.001232 0.001429 0.002738 \n",
+ "13 0.002388 0.002112 0.000743 0.001217 0.000914 0.000891 0.001081 \n",
+ "14 0.000993 0.001106 0.000407 0.000533 0.000559 0.000285 0.000384 \n",
+ "15 0.002737 0.001301 0.001945 0.000333 0.000287 0.000210 0.000237 \n",
+ "16 0.000913 0.000726 0.002947 0.000343 0.000274 0.000217 0.000224 \n",
+ "17 0.000430 0.000480 0.006228 0.000312 0.000331 0.000272 0.000284 \n",
+ "18 0.000536 0.000507 0.000461 0.000368 0.000367 0.000254 0.000341 \n",
+ "19 0.000696 0.000892 0.000530 0.000611 0.000577 0.000520 0.000575 \n",
+ "20 0.003133 0.001500 0.001206 0.001239 0.001089 0.001603 0.001949 \n",
+ "21 0.022843 0.002728 0.001555 0.001926 0.001584 0.001629 0.002496 \n",
+ "22 0.019687 0.021595 0.017245 0.014542 0.013975 0.018482 0.018389 \n",
+ "23 0.003610 0.001902 0.001803 0.002130 0.001789 0.001864 0.002997 \n",
+ "24 0.003996 0.001326 0.001035 0.001792 0.001179 0.001226 0.004755 \n",
+ "25 0.001653 0.001264 0.000815 0.001668 0.000953 0.000915 0.001571 \n",
+ "26 0.001692 0.000929 0.000481 0.000634 0.000531 0.000418 0.000536 \n",
+ "27 0.000964 0.000911 0.000473 0.000485 0.000411 0.000394 0.000418 \n",
+ "28 0.000608 0.000674 0.000494 0.000437 0.000393 0.000386 0.000394 \n",
+ "29 0.000619 0.000964 0.000796 0.000511 0.000535 0.000460 0.000501 \n",
+ ".. ... ... ... ... ... ... ... \n",
+ "134 0.023180 0.020363 0.000622 0.001545 0.001165 0.000514 0.000633 \n",
+ "135 0.007292 0.018256 0.000593 0.001954 0.008860 0.000434 0.000511 \n",
+ "136 0.003486 0.004149 0.000872 0.001171 0.002595 0.000510 0.000553 \n",
+ "137 0.001054 0.001756 0.001393 0.000974 0.001499 0.000650 0.000599 \n",
+ "138 0.001852 0.002650 0.002454 0.001389 0.001821 0.000848 0.000836 \n",
+ "139 0.001516 0.005508 0.002455 0.001329 0.001879 0.000941 0.001000 \n",
+ "140 0.005305 0.002397 0.002175 0.003282 0.002053 0.001645 0.003031 \n",
+ "141 0.006232 0.002944 0.001990 0.003270 0.001843 0.001811 0.002974 \n",
+ "142 0.008810 0.002593 0.001988 0.002151 0.001829 0.001955 0.002181 \n",
+ "143 0.003731 0.001452 0.001286 0.001935 0.002175 0.001391 0.001742 \n",
+ "144 0.002930 0.001451 0.001099 0.001829 0.001529 0.001537 0.002642 \n",
+ "145 0.004937 0.004903 0.000926 0.001668 0.001198 0.001978 0.001543 \n",
+ "146 0.004911 0.002765 0.011262 0.010428 0.000851 0.000638 0.000414 \n",
+ "147 0.006355 0.001304 0.009183 0.006059 0.000758 0.000375 0.000307 \n",
+ "148 0.003306 0.002270 0.005130 0.002527 0.000617 0.000394 0.000343 \n",
+ "149 0.000747 0.001153 0.000591 0.000479 0.000505 0.000514 0.000511 \n",
+ "150 0.000982 0.001459 0.000764 0.000807 0.000847 0.000876 0.000917 \n",
+ "151 0.002716 0.001531 0.001221 0.001313 0.001487 0.001598 0.001995 \n",
+ "152 0.041397 0.001610 0.001217 0.001610 0.001270 0.001250 0.001815 \n",
+ "153 0.011233 0.011430 0.009943 0.008484 0.008920 0.009811 0.010228 \n",
+ "154 0.005046 0.005056 0.003630 0.003760 0.004115 0.003754 0.004048 \n",
+ "155 0.003725 0.001226 0.001018 0.002261 0.001521 0.001207 0.001595 \n",
+ "156 0.001987 0.001505 0.001257 0.002118 0.001537 0.001504 0.002119 \n",
+ "157 0.001391 0.001492 0.000721 0.001186 0.000988 0.001057 0.001012 \n",
+ "158 0.007846 0.002072 0.000480 0.000849 0.000658 0.000736 0.000425 \n",
+ "159 0.002077 0.002011 0.000450 0.000783 0.000784 0.000543 0.000341 \n",
+ "160 0.001072 0.000563 0.000430 0.000683 0.000651 0.000471 0.000320 \n",
+ "161 0.001175 0.000846 0.007341 0.000873 0.000902 0.000852 0.000868 \n",
+ "162 0.001939 0.001174 0.000974 0.001423 0.000976 0.001591 0.001612 \n",
+ "163 0.007472 0.001202 0.000864 0.001149 0.000960 0.000826 0.001004 \n",
+ "\n",
+ " big_NS big_EW month \n",
+ "0 0.005698 0.005168 0.0 \n",
+ "1 0.002014 0.003158 0.0 \n",
+ "2 0.002259 0.002509 0.0 \n",
+ "3 0.000901 0.000987 0.0 \n",
+ "4 0.000537 0.000365 0.0 \n",
+ "5 0.000486 0.000278 0.0 \n",
+ "6 0.000439 0.000361 0.0 \n",
+ "7 0.000600 0.000489 0.0 \n",
+ "8 0.001349 0.001216 0.0 \n",
+ "9 0.002098 0.002252 0.0 \n",
+ "10 0.001770 0.001910 0.0 \n",
+ "11 0.001552 0.002770 0.0 \n",
+ "12 0.001845 0.002988 0.0 \n",
+ "13 0.000996 0.001046 0.0 \n",
+ "14 0.000393 0.000416 0.0 \n",
+ "15 0.000276 0.000269 0.0 \n",
+ "16 0.000329 0.000282 0.0 \n",
+ "17 0.000383 0.000348 0.0 \n",
+ "18 0.000352 0.000431 0.0 \n",
+ "19 0.000610 0.000655 0.0 \n",
+ "20 0.001597 0.002419 0.0 \n",
+ "21 0.001891 0.002825 0.0 \n",
+ "22 0.013769 0.015103 0.0 \n",
+ "23 0.001804 0.003287 0.0 \n",
+ "24 0.001249 0.005445 0.0 \n",
+ "25 0.001127 0.001672 0.0 \n",
+ "26 0.000518 0.000506 0.0 \n",
+ "27 0.000478 0.000439 0.0 \n",
+ "28 0.000449 0.000450 0.0 \n",
+ "29 0.000548 0.000447 0.0 \n",
+ ".. ... ... ... \n",
+ "134 0.000949 0.001635 0.0 \n",
+ "135 0.001030 0.000977 0.0 \n",
+ "136 0.001067 0.001052 0.0 \n",
+ "137 0.001049 0.001156 0.0 \n",
+ "138 0.001344 0.001373 0.0 \n",
+ "139 0.001785 0.001685 0.0 \n",
+ "140 0.002138 0.002948 0.0 \n",
+ "141 0.002052 0.003571 0.0 \n",
+ "142 0.001897 0.002598 0.0 \n",
+ "143 0.001621 0.002282 0.0 \n",
+ "144 0.001996 0.003100 0.0 \n",
+ "145 0.001840 0.001376 0.0 \n",
+ "146 0.000765 0.000645 0.0 \n",
+ "147 0.000624 0.000508 0.0 \n",
+ "148 0.000675 0.000424 0.0 \n",
+ "149 0.000593 0.000535 0.0 \n",
+ "150 0.001094 0.001032 0.0 \n",
+ "151 0.001933 0.002014 0.0 \n",
+ "152 0.001667 0.002199 0.0 \n",
+ "153 0.008790 0.007768 0.0 \n",
+ "154 0.003662 0.003798 0.0 \n",
+ "155 0.001784 0.002429 0.0 \n",
+ "156 0.002200 0.002610 0.0 \n",
+ "157 0.001630 0.001178 0.0 \n",
+ "158 0.000698 0.000529 0.0 \n",
+ "159 0.000932 0.000421 0.0 \n",
+ "160 0.000683 0.000529 0.0 \n",
+ "161 0.001018 0.000848 0.0 \n",
+ "162 0.001892 0.002051 0.0 \n",
+ "163 0.001462 0.001171 0.0 \n",
+ "\n",
+ "[164 rows x 17 columns]"
]
},
- "execution_count": 81,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stds_all"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Feature importances based on month"
]
},
{
"cell_type": "code",
- "execution_count": 115,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "n_rows = 3\n",
- "n_cols = 4\n",
- "fig, ax = plt.subplots(n_rows,n_cols,figsize=(20,15))\n",
- "matplotlib.rcParams.update({'font.size': 10})\n",
- "\n",
- "for month in range(1,13):\n",
- " row = (month-1) // n_cols\n",
- " col = (month-1) % n_cols\n",
- " df = importances_all.loc[(importances_all.test_month == month)][['z','x','y','DoG_m','DoG_s','EW_m','NS_m']]\n",
- " \n",
- " df.plot(ax=ax[row,col])\n",
- " # ax[row,col].set_xticks(df.index)\n",
- " # ax[row,col].set_xticklabels(np.asarray(range(5,22)).astype(str))\n",
- " ax[row,col].set_xlabel('hour', labelpad=0)\n",
- " ax[row,col].set_ylabel('importance')\n",
- " ax[row,col].set_title('%s' %calendar.month_name[month])\n",
- "\n",
- " # Shrink current axis by 20%\n",
- " box = ax[row,col].get_position()\n",
- " ax[row,col].set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
- "\n",
- " # Put a legend to the right of the current axis\n",
- " if month == 8:\n",
- " # Put a legend to the right of the current axis\n",
- " ax[row,col].legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
- " else:\n",
- " ax[row,col].legend([])\n",
- "\n",
- "#plt.savefig('importance_hourly')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 127,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "\n",
- "matplotlib.rcParams.update({'font.size': 22})\n",
- "\n",
- "for month in [2,6,10]:\n",
- " fig, ax = plt.subplots(figsize=(12,15))\n",
- " \n",
- " df = importances_all.loc[(importances_all.test_month == month)][['z','x','y','DoG_m','DoG_s','EW_m','NS_m']]\n",
- " hrs = importances_all.test_hour.loc[df.index].astype(int)\n",
- " \n",
- " df.plot(ax=ax, linewidth = 3)\n",
- " ax.set_xticks(df.index)\n",
- " ax.set_xticklabels(hrs)\n",
- " ax.set_xlabel('hour', labelpad=0)\n",
- " ax.set_ylabel('importance')\n",
- " plt.title(\"Feature importance per hour (%s)\" %calendar.month_name[month])\n",
- " # Shrink current axis by 20%\n",
- " box = ax.get_position()\n",
- " ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
- "\n",
- " # Put a legend to the right of the current axis\n",
- " ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
- "\n",
- "# plt.savefig('importance_hourly')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 61,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "df = importances_all.loc[(importances_all.test_month == 6)][['z','x','y','DoG_m','EW_m','NS_m']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 75,
+ "execution_count": 12,
"metadata": {
- "collapsed": true
+ "scrolled": false
},
- "outputs": [],
- "source": [
- "matplotlib.rcParams.update({'font.size': 22})\n",
- "\n",
- "fig, ax = plt.subplots(figsize=(20,15))\n",
- "plt.title(\"Feature importance per hour (June)\")\n",
- "df.plot(ax=ax)\n",
- "ax.set_xticks(df.index)\n",
- "ax.set_xticklabels(np.asarray(range(5,22)).astype(str))\n",
- "ax.set_xlabel('hour')\n",
- "ax.set_ylabel('importance')\n",
- "\n",
- "# Shrink current axis by 20%\n",
- "box = ax.get_position()\n",
- "ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
- "\n",
- "# Put a legend to the right of the current axis\n",
- "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
- "\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 122,
- "metadata": {},
"outputs": [
{
"data": {
- "text/plain": [
- "131 5\n",
- "132 6\n",
- "133 7\n",
- "134 8\n",
- "135 9\n",
- "136 10\n",
- "137 11\n",
- "138 12\n",
- "139 13\n",
- "140 14\n",
- "141 15\n",
- "142 16\n",
- "Name: test_hour, dtype: int64"
- ]
- },
- "execution_count": 122,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Feature importances (all)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
+ "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, fig.canvas.height);\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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t6y695SMSX++1157ZR+W2QgQIECgfgRWf35JfUV6hnjmmWeyi6U2/pvf/Gb2DJM+clp9BHrqJ9JHuZXLjKQ+LH0glfqeH/3oR6sKmxLg6SPdNOL8Bz/4QfbhbuvWrbNRiOkDqtT2n3baaXHEEUdEs2bN4oUXXog2bdpk/V3a0vFphpT0fJLOnfq7P/7xj9kHx4899ljss88+9QPjrAQIECBQZwJp5pH0QVZ65/Tss89mH06lmU9SH3TSSSet8XzSq1ev7Dngf//3f7MPrdIHty+99FLW5ld+cPtRzxZpKRIJ9DqrNiciQIBArgQk0HNVnW6GAIFSFNjYKML08iclFdKLn/SCqfLFUOVxX/7yl7NRGJXbxRdfnI2uSC+tUhI8bVVNoK/tl66dRjAecsgh2Quou+++e42HlDSiPI3oqEx2pL986623skT6pZdemo0USVsqfxphmEaFXHfddaVYTcpMgACBohKo7APWV6g0+iLNZpJeFqW2+Bvf+Maq3dJHTOkl1Fe/+tVsVEbaUgI9vVy67777Vo3eS3+eEvDpRVUaVZ6SHZUJ9PW1/ZXlqcoI9NXLnPqY1NdMnjw5e+m1ehkqX2SlpEoaEbL6lv7uwgsvzD4c69KlS/ZXKWmeZkCRHCmqUFUYAgRyKLD680v64Datd54+xEofRu2+++7Zv9MHuGkE4EdN4Z4SHOmf1JanD3jTTFiVo9BTAjz1V+nj4dRnVW5PPPFElvz+/ve/Hz//+c8/UjYdn2bySon9ymR9eh5JH/9+9rOfzZL8NgIECBAoboGbb745+2gqtdlp9Hnqb1JCPQ02efzxx7PCVz6fpBkY09IhabaqtM2bNy/7mGrnnXeONPtV2jb2bGEEenHHg9IRIECgIQQk0BtC3TUJECCwmsDaCfT0UJCmKrzrrruyh4GUWKjcvvSlL2Wj0dNWedyDDz4Yn/jEJ1bt889//jNLeKcRHXvssUf259VJoKeHkzSCPL2wWrx48arzpqkRU0nucmEAACAASURBVLJ89YeU9HVvGjW49pa+4E37ppdW6dopaZ5GiaRpeNMDjI0AAQIEaidQ2QfcdNNNse22265xsl133TUbsZc+ukpTHKbZTFbf0ui/lLSoHC2YEuhp9F5aq3b1rXL69fTyKi3PUfmCan1tf3US6GlaxZQUT6PcU+I8laVyS9Pzfvvb387+b+VLrjRafocddlijbCkxkpIi6TwpkZK2lFRJI9tfeeWV2uE6mgABAgQ2KLD680uaBSV9PJt+/5988slZe50SG6mvWTuBnmbISn3Tc889t06fk/qryplRUtIj9V2pb1p9S9Oxp4R76jtSEuWjtnR8+vunnnpqjV3Sh2UdOnSIBx54QA0TIECAQJELpGeUNPI8DQ6pnN0wLcORPtAaO3Zs1vdUPp+kJTvSjIerb6lP+vOf/xxpnfO0JNWGni2MQC/yYFA8AgQINJCABHoDwbssAQIEKgXWTqCnUdppuvQf/vCH2TSFaeR3SkIfdthh2T+V65V/1Mj19a03W9UEekqGn3vuuZES9WlK+DRiJD1opLKkhHh6OElb5UNKmhZrfeuZp5djaWrdlMw/+OCDs+mF09TAab1aGwECBAjUXmBjs5ecfvrp2XS1H7Wl5T/SKI20pZdTadmNtCbt6tvo0aOz5Hxaw/acc87ZYNtf1QR6SpanD6lS8iP1LYMGDcqm5U1/Pnjw4Pjxj3+cvdxKW+WLrJRw79y58zq3kkakpD4vjXp/9dVX42Mf+1i27mEaOW8jQIAAgfoTWLsPOv/887NlP4455pj497//nX1Em7bVE+gpCTJkyJCsz0ntdJqdKk2/fu+990Y6fvUZTFICPI1iTx9arb6lvi0lTtJMK6uvmb72nVaugf73v/99jb+qXI4q9R02AgQIEChegTfeeCObgeQzn/lMXHPNNasKmt4ppSUM0/Ic6YOqyndTaVaSyo9qK3dO+6QZt9IHtikBv6FnCwn04o0FJSNAgEBDCkigN6S+axMgQGC1keRpJEb6gnbTTTfNEgjpn8otjQRPCYY0ArAmCfQ0jVUaMZgeMFbf2rZtmz2QVJ4zJTXSg8Ujjzyyxn577713No3i2gn0NF18WuNwfVtKiqT1CtNDS1qPNq1V+D//8z/qnAABAgTqQGBjCfTvfve72QujNN1t+oBp7S39WWqn01bdEejra/v/8pe/xOc+97lISfe0hnrlduedd2bT5aZ+JV0njQ5Pie7V1y5M+6aXZKkPXF8CPU3rmz7oWntLs5qk0fZpxpY0G0ta2zb1Vam/tBEgQIBA/Qms3Qelj7Aqp0pPyfD0+z9tqyfQ03IiaSatWbNmrZpiN+2TZkxZXwI9Hbt2Arw6I9DXd7wEev3FhDMTIECgLgUq2/uPOmeaZSQt5ZT+Se+dqjMCfX3PFhLodVl7zkWAAIH8CEig56cu3QkBAiUqsPoLqPSFbUpgp0R35YundFtpjfP0QHDSSSfVKIGepl9Pa9auPoqjcpT46udMI8XTKL+UiKjcUrIjrTHVq1evaiXQ01fCaSR7Sr6nUSjjx4/PRpnYCBAgQKD2AhtLoA8bNixrf2+77bY49thjN3jB6q6Bvr4Eelo2JE2Nm9YhTwnzyi2NEk9TwFcm0EeMGJFN75umUzz++ONX7ZdmM7nkkkuqlUBPB6cPtJYtW5atvZtGNF5++eW1x3UGAgQIENigwPr6oPTskj6iSknyyunVV0+gp1mu0jJRM2fOjKZNm2bnX7hwYaTnlPScsPYI9PUlwCvXQE8zmPz0pz/9yDIagS6ACRAgULoCaRnD9FFWy5Yt1zujVvq46tJLL42//e1v2YdaKYH+UWugp3dZaWaUtFUmySXQSzc2lJwAAQKFFpBAL7S46xEgQGAtgcoXUMOHD8+mOt93332zREAaOZhe/jz22GNx7bXXZi+Y0tqCNRmBnkZ1pBdNaYRHOn9a3/x3v/tdpDVkP/WpT606Zxr5l9ZfT/um/VLiO72cSqP5UoKiOiPQU3lT0n3GjBnZddN5bQQIECBQNwIbS6Cnq5x55pnZ7B9f+cpXsvXBU1ue1hD873//m40+P+uss7LCpAR66nfSqPQ0cj19zHX//ffHr3/962yfK664ItuvcorE9SXQ04uuNN1uavvTOuZpNpV77rknHnrooSwpUplAT9PupmnhU5+SPhZLa9yml19pv7SWYXVGoKcypYT9cccdl03lm/qsNIrdRoAAAQL1K1CVPiiVYPUEeuXHu2ma9/TBU3pGSB9OzZ07N1tCpCoJ9HTO9GFW6tvSdO5pyanUd7344ovRqlWr+OpXv5rduAR6/da/sxMgQKA+BVKC/IgjjsjeiX3rW99a51LTp0/PlgE59NBDs49nUwI9vXvaYostIs12kpaGSsemviEt2ZE+uE2bBHp91ppzEyBAIJ8CEuj5rFd3RYBACQmkxERKbqRReeklU5oCMa01m14ypQRD+rGfXi6ldZ5SkqMmCfQlS5ZkSfE04i89bOy+++5ZYiQl5Fc/Z9ovrRuV9ksvtbbbbrv40Y9+lCVB0oNHdRLoqQpOOeWU7AVXOq5nz54lVCuKSoAAgeIWqGryIq0Vm9YFTwny9DIpjc5I/crXvva17KOttKV+IPUNabaTtCxH6o9SYju14eedd140adIk229DCfT09ykBkmZLSaPRU0IjjTA/5JBDsv6rMoGe9hs1alTWz6X90rkPPPDAbBRJGmlS3QR66rfatWsX+++/fzzwwAPFXWlKR4AAgZwIVLUPWj2Bnm499UkpqVH5bJCS4F26dInTTjutygn01Jel9dbTB8bpw6s0QjE9s6TpflNCPW0S6DkJNLdBgEBZChx99NHZx7xpaaY0Q+L6trR0VFoqKn0YPHjw4KxvWbRoUbZe+rRp07IPe9NHvQcffPCqwyXQyzKc3DQBAgRqJSCBXis+BxMgQKD2AimJkEaDz549O9Ka5HnZUlIjvbxKUwinEYI2AgQIECBQ1wJp9PqRRx6ZLVFy2GGH1fXpnY8AAQIECBAgQIAAgSIV2NgHvkVabMUiQIAAgRIRkEAvkYpSTAIE8ifw/PPPx3PPPRdp3dc0+i6N8s7DltaTStPophEmaXRKusedd945D7fmHggQIECgSATSUiTvvPNONpI9TU3/wgsvZNO42wgQIECAAAECBAgQKA8BCfTyqGd3SYAAgYYSkEBvKHnXJUCg7AXSOk1z5szJ1m1K0xB27NgxFyaVUzp27949m4o3rcFrI0CAAAECdSmQpp0fNmxY9oHWjTfeGNtss01dnt65CBAgQIAAAQIECBAocgEJ9CKvIMUjQIBAiQtIoJd4BSo+AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECNSNgAR63Tg6CwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUuIAEeolXoOITIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQN0ISKDXjaOzECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECJC0igl3gFKj6BjQmsWLEiJk+eHG3bto1NNtlkY7v7ewIECMTKlStj3rx50aNHj2jUqBERApmA/kQgECBQXQH9SXXFymd/fUr51LU7JVAXAvqTulDM5zn0J/msV3dFoD4F9Cn1qevcBPIlIIGer/p0NwTWEZg4cWL06tWLDAECBKotMGHChNh8882rfZwD8imgP8lnvborAoUQ0J8UQrm0rqFPKa36UloCxSKgPymWmiiecuhPiqculIRAqQnoU0qtxpSXQOEFJNALb+6KBAoqMGfOnOjQoUOkHwXt2rUr6LVdjACB0hSYO3du9uHN7Nmzo3379qV5E0pd5wL6kzondUICuRfQn+S+imt8g/qUGtM5kEBZCuhPyrLaq3TT+pMqMdmJAIHVBPQpwoEAgaoKSKBXVcp+BEpUIP0oSAmw9FAhgV6ilajYBAosoN0oMHiJXE5clEhFKSaBIhLQbhRRZRRZUcRGkVWI4hAocgFtRpFXUAMWT2w0IL5LEyhRAe1GiVacYhNoAAEJ9AZAd0kChRTwo6CQ2q5FIB8C2o181GNd34W4qGtR5yOQfwHtRv7ruKZ3KDZqKuc4AuUpoM0oz3qvyl2Ljaoo2YcAgdUFtBvigQCBqgpIoFdVyn4ESlTAj4ISrTjFJtCAAtqNBsQv4kuLiyKuHEUjUKQC2o0irZgiKJbYKIJKUAQCJSSgzSihyipwUcVGgcFdjkAOBLQbOahEt0CgQAIS6AWCdhkCDSXgR0FDybsugdIV0G6Ubt3VZ8nFRX3qOjeBfApoN/JZr3VxV2KjLhSdg0D5CGgzyqeuq3unYqO6YvYnQEC7IQYIEKiqgAR6VaXsR6BEBfwoKNGKU2wCtRBYsWJFLFmy5CPP0LRp02jcuPFH/r12oxb4OT5UXOS4ct0agQ0ILF++PJYuXbrePfQnQqemAvqUmso5jkDpCmyoP0l31axZs2jUqNF6b1CbUbr1Xt8lFxv1Lez8BIpPwDuv4qsTJSKQVwEJ9LzWrPsi8IGAhwmhQKC8BFLi/O233470QLGhrUOHDtGtW7fYZJNN1tlNu1FeMVPVuxUXVZWyH4F8CKxcuTKmTp0as2fP1p/ko0qL6i70KUVVHQpDoF4FqtqfpOR53759s0T62ps2o16rqKRPLjZKuvoUnkC1BbzzqjaZAwgQqIWABHot8BxKoBQEPEyUQi0pI4G6EUgvp8aPH5+NFOzRo8d6R3CkfRYsWBDTpk2LlETv3r27F1R1w5/7s+hPcl/FbpDAGgJTpkzJkuddunSJVq1arfPBlf5EwNRGQJ9SGz3HEigtgY31J+lu0se/kydPjjSzSe/evdfpc7QZpVXnhSyt2CiktmsRaFgB77wa1t/VCZSjgAR6Oda6ey4rAQ8TZVXdbrbMBVLi/I033siS5+3bt9+gxowZM7Ik+lZbbbXOdO7ajTIPpI+4fXEhLgiUj0CaZnfs2LFZ8rxjx476k/Kp+oLdqT6lYNQuRKBBBarTn8yZMydLovfv3z9LpK++aTMatBqL+uJio6irR+EI1KmAd151yulkBAhUQUACvQpIdiFQygIeJkq59pSdQPUEFi1alE3f3qdPn2jZsuUGD164cGGMGzcumyaxRYsWXlBVj7os99aflGW1u+kyFdCflGnFF/C29SkFxHYpAg0ooD9pQPwyubT+pEwq2m0SiAh9ijAgQKDQAhLohRZ3PQIFFvAwUWBwlyPQgAKVDxPrS4qvXawN7avdaMBKLOJLi4sirhxFI1DHAvqTOgZ1unUE9CmCgkB5COhPyqOeG/Iu9ScNqe/aBAoroE8prLerESAQIYEuCgjkXMDDRM4r2O0RWE3Aw4RwqE8B/Ul96jo3geIS0J8UV33ksTT6lDzWqnsisK6A/kRU1LeA/qS+hZ2fQPEI6FOKpy6UhEC5CEigl0tNu8+yFfAwUbZV78bLUMDDRBlWegFvWX9SQGyXItDAAvqTBq6AMri8PqUMKtktElhtul0zZAmH+hLQn9SXrPMSKD4BzyjFVydKRCDvAhLoea9h91f2Ah4mCh8CK1eujKXLV8aiZctj0dLlsXjpiuzfi5auiMXZn33w/1f/32m/ZRV/XvnvNs2bxMlD+kSXdmuuT134O3LFUhHwMFEqNVWa5dSf1KzeUrv+8KhpMWbq3Dh0UPfYtnu7mp3IUQQKKKA/KSB2mV5Kn7Lxin90zLR4/p1ZcfROPWPLzm02foA9CBShgP6kCCslZ0Uq9/5k2fIVcd2wt6NDq2Zx1I49onmTxjmrYbdD4EMBfYpoIECg0AIS6IUWdz0CBRYo94eJ+uCeNX9J/Pwfo+LN995flfBenBLkHyTAU7Jkxcq6uXJKon/9wAFx0pA+0bRxo7o5qbPkVqDyYaJPnz7RsmXLDd7nwoULY9y4cbG+0SDajdyGSK1uTFxUnW/FipXx3LiZcc+Lk+IfI6bEvEXLsoM32STiUzv2jG8ctFX02qxV1U9oTwIFFtCfFBi8DC+nT9lwpd/81Lj40V9fjZUfPFPsu1XnOHmvPrHvgM7RqNEmZRgxbrlUBfQnpVpzpVPucu9PrnrszbjwgdFZhXVp2zxO3btvfH6P3tGuRdPSqUQlJVBFAX1KFaHsRoBAnQlIoNcZpRMRKE6Bcn+YqOtaSSPIT/jjs/HsuJlVPnWLpo2iRdPG0aJJ46j8382bNIrm6c+yP//g7yv3++DPHnt9erw8YXZ2na26tonzjhwYe/brWOXr2rH8BJYuXRpvvPFG9OjRI9q3b79BgBkzZsS0adNiq622isaN1/xKXbtRfrFTlTsWFxtXeuu997Okefpn4qyFqw7o0b5FDOjaNh4b+172Z00bbxJfGLxFnL1//+jYpvnGT2wPAgUWWL58eYwdOza6dOkSHTtu+LeH/qTAlZOTy+lT1l+RaSary//9evzm4dezHbbp1jbGvDtvVSK9b6fWceKeW8Qxu2webSVHcvJfQ75vozr9yZw5c2Ly5MnRv3//aNp0zeSfNiPfcVKbuyvn2Jgwc0EcdPlj2SyH7Vs2jTkLl2aUbZs3ic8P7h2n7dXXjIa1CS7HFp2Ad15FVyUKRCD3AhLoua9iN1juAuX8MFHXdZ9eaJ17+8tx94uTsgeSnx89MDZt1awiCb5akrx5+t9NGkf6d0qUb5KGHNZgSyMY73h+Qlz04JiYOX9JdoYjPtYjvn/YttGtvWnda0Ca+0NSjI4fPz7SQ0VKojdqtO6sBWmfBQsWZMnzDh06RPfu3ddx0W7kPlRqdIPiYv1sqX3+28uTs76h8qOntGeaQeTQgd3i6J17xuC+HbMRgyMmzolf/nN0PPH69OxkaZ/Th24ZXxzaN1o3b1KjenEQgfoSmDJlSsyePTtLordq1Wqd3zP6k/qSL4/z6lPWreflK1bGD+8bGX96Znz2l2kWqnMOGBDjZy6Im556J25/bkLMW1wxo0nrZo3js7v2ypLppncvj/9mSvkuN9afpHtbsWJFljxPifPevXuv0+doM0o5Auq37OUaG+l32Kk3PBePjHkv9ui7Wdx02u7xt5enRBqR/vq09zP0Zo0bxad37hmn77Nl9LMUSP0GorMXRMA7r4IwuwgBAqsJSKALBwI5FyjXh4n6qNY0EuSyh8ZG40abxA2n7BZDB3Suj8usc87ZC5bEpf8aG7c88042+iS9MDvnwAFxyl59TetekBoorYssWbIk3n777ewl1Ia2lDzv1q3bej/w0G6UVp0XqrTi4kPptFTHf0ZPi7tfmBRpjdplH6zbkfqHoQM6xad33jwO2rZrtGy2/jUI//v69LjowdExYtKc7KSd2jSLr358QHxu997RrInlOgoV066zYYH0gmrq1KlZEl1/IlrqWkCfsqZo6le+/peX4sFXp2bLffzsqIHZTCWrb/MXL4u7X5gYNzw5Lt58b/6qv9pv687Zck+md6/rKHW+uhKoan+SPv5Ny0s1a9ZsnUtrM+qqNvJ3nnKNjX+8MiW+8qcXsiT5/ecMjf5d2mSVmwZipOeUPzz2Zgx/Z1b2Z6lfOXi7rnHmvv1i596b5i8I3FFZCXjnVVbV7WYJNLiABHqDV4ECEKhfgXJ9mKhr1ftemhTn/OWl7LQXHD0oW1Oq0NvISXOyUSkvjq94kZ0ekH565PYxpH+nQhfF9YpcICXP00PFR21pZMfa07avvq92o8gruIGKV+5xkV7+PjduVtzz4sT4+ysfrmueqmNgz3Zx9E6bx5Ef6xGd21ZtSvb0cuv+kVPikn+OiXEzFmS12nuzVnHuwVvFETukGSRqNntJA4WHy+ZYIE2/m2Y2Wd+mP8lxxdfzrZV7n7LG765FS+OMm4bH02/NzBIhvzp+xzhs0LozBFUek/qj/74xPW4YNi7+M2baGtO7n7TnFvEZ07vXc/Q6fU0FNtSfpHOmxPn6ZtBKf6fNqKl6/o8rx9iYu2hpHHDpY/HevMXZTCX/e9BW663o4eNmxh8eeyv+PerdVX+/e9/N4qx9+0X6+KqmsyXmP6rcYbELeOdV7DWkfATyIyCBnp+6dCcE1itQjg8TdR0K6aHj89c8E0uWr4jTh/aN7x++XV1fosrnSwmXO1+YGL94YPSqad0P36F7/ODwbaN7+5ZVPo8dCWxIQLshPtYnUK5x8fb0+XHPCxPjnpcmxYSZH65r3r19izhqx57ZtIhbdW1b46BZunxF3PbchPj1w69nL8HStl33dvHtQ7eJfQZ08mKrxrIOLAaBcm03isG+2MsgNipqaNq8RXHSdc/FqClzs2U9rj5xlxjSr+ofx74zY/4607un86Q10k3vXuz/FShfdQS0GdXRKq99yzE2fnTfyKzt79updTxwztBsWcENbW9MmxdXPfZW3PvSpFi6fGW269Zd28aZ+26ZLRPYtLEZsMrrvxp3W47thlonQKBmAhLoNXNzFIGSEfCjoHZVlV5KHX3Fk1myOk15deUXdsmmcG/obc6CpXHpQ2PilqffiTRzcKtmjeNrBwyIU/fqa/rfhq6cHFxfu5GDSqyHWyinuJg1f0n8/ZXJcdcLk+KlCR9OX52W0Dh0UPf49E49Y/CWFeua19W2YMmyuO6/b2cvtyrXuN1zy45ZIn3HXh3q6jLOQ6CgAuXUbhQUNgcXExsR46bPjxOvezZb47xTm+bZElEDe7avUe2a3r1GbA4qIQFtRglVVoGLWm6x8eL4WfHpK5/MZh/50xf3qNaMhFPmLIzrh42LW59+J+YvWZ7VVI/2LeK0oVvG8bv1itbNmxS49lyOQMMIlFu70TDKrkogHwIS6PmoR3dB4CMF/CioeXCkJPXRVw6Lt96bH4N6to/bzhwcrZoV1wPFq5PnxI/uezWe/2Btq36dW8d5Rw6MvQdUfeRKzYUcmVcB7UZea7Z291UOcZGWykgjwdO65pWjM1KOfOiAztlI84O36/aR65rXTvfDo1Py/vePvJGNKkkzn6Tt0IHd4puf2Dr6da5Y29BGoFQEyqHdKJW6KLZylntspP7m5OufjenvL8mW77j5tN1ji46ta11NpnevNaETFKlAubcZRVotRVGscoqNNHPVEb/9b4yeOi97Nrns2B1rVAdzFi7NBmOkZPr09ytmwGrfsmmcNKRPfHm/fhsd0V6jizqIQBEJlFO7UUTsikKgJAUk0Euy2hSaQNUF/CioutXqey5ZtiJOuu7ZeOqtGZGm6b33K3tF13Ytanayej4qTet+94uT4hcPjMpewqXtsEHd4geHbxc9OpjWvZ75c3l67UYuq7XWN5X3uFi0dHkM+cV/Vi2PsX2PtK55zzhyxx7RpW3h2/+JsxbE5Q+9Hne/ODEbYZJmPzl2183jnAO2im7tC1+eWgeQE5SlQN7bjbKs1Dq66XKOjSffmB5n3Px8vL94WbZkxw2n7lYv/cxHTe9+7K694tS9+8Tmm7aqo9p0GgL1L1DObUb965b2FcopNq5+/M244P7R0aFV03j4G/tGxzbNa1V56fnn7hcmRTrvuBkLsnPtssWmcc2Ju8ZmrZvV6twOJlDMAuXUbhRzPSgbgVIQkEAvhVpSRgK1EPCjoPp4aeTGt+96JW4fPjHSdL13fGlIbNejXfVPVOAj0lfElz80Nm56alw2rXvLpo3j7I/3jy8O7RvNm2x4TawCF9XlilxAu1HkFdRAxct7XNz5/MT45h0vZ9MYXn/K7rF1t5qva16XVTRm6ry4+J+j49+jpmWnbdG0UZyyV9/40r79spEiNgLFLJD3dqOY7Yu9bOUaG/94ZUr8720vZTOMDN5ys7j6xF2jXYv6bcvXN717+ijrkzt0j9OHblnjaeOLPcaUL18C5dpm5KsW6+duyiU2JsxcEAdf/ngsXLo8fnnMDpE+hqqrbfmKlXH/iCnxvXtGxLxFy6JPx1bZ81BaY91GII8C5dJu5LHu3BOBQgtIoBda3PUIFFjAj4Lqg1/56Jtx0YOjI03be+1Ju8X+23Sp/kka8IjXJs+NH/91ZDw3blZWii07tY6fHLl97LNV5wYslUuXkoB2o5Rqq3BlzXtcHPW7/8bLE+fE/31i6/jK/v0LB1vFKz03bmZc9MDoGP7Bkh0peZ6mWExTLbZo6iOpKjLarcACeW83CsyZq8uVY2zc/NS4+NFfX81mFUlLc1x+3I4Fbb/TR8KPjX0vrnnirRj2xoxV8bRX/45xxj79Yp8BnWKTTTbJVZy5mfwIlGObkZ/aq987KYfYSO33qTc8F4+MeS9277tZ3HbG4Hppr9+YNi9Ovv65mDhrYTbK/eoTds2uZyOQN4FyaDfyVmfuh0BDCUigN5S86xIokIAfBdWDTl/dfvnWF7KDzjty+ywxUYpbesC658VJ2fRelWtaHbJ9t/jhEdtFT9O6l2KVFrTM2o2CcpfMxfIcFy9PmB1H/X5YNGvcKJ767sdrPR1ifVVqatvTSPQ0In3su+9nl0nLjHxh8Bbxie27Rf8u1kivL3vnrZlAntuNmok4qlKgnGIjtd2X//v1+M3Dr2e3/z979I6fHjUwW5qjoba0BntKpP/9lSmRRh6mbZtubbMR6Ud8rEc0a9KooYrmugTWK1BObYYQqJ5AOcRG5Xuqpo03iQfO2adef/O/N29xfPGm4ZGej9Kz0cWf3SGO2rFn9SrF3gSKXKAc2o0irwLFI1AyAhLoJVNVCkqgZgJ+FFTd7cXxs+L4q5+OxctWxMlD+mSjtkt9m7toafzqodfjxqfGZS/H0tS/Z+/fP07fZ0vTupd65dZj+bUb9YhbwqfOc1ykqdvTFO5pzfM0IrDYt9Se3/3CxGzZjslzFq0qbr/OrbNE+sHbd4sderaPRg2YnCl2Q+UrjECe243CCOb3KuUSG6m9/uF9I+NPz4zPKvOcAwbE1w8cUC8jB2sSLRNnLYjrh42Lvzw7PuYvWZ6dolu7FnHKXn3ic3v0rvfp5WtSnxRzzgAAIABJREFUZseUp0C5tBnlWbu1u+u8x0Z6p3PgpY/FtHmL42sHDIhvHLRV7cCqcPTCJcuz5UYefHVqtve5B22VLQ9olpIq4NmlJATy3m6URCUoJIESEZBAL5GKUkwCNRXwo6Bqcmk9qaOvGBbT318SH9+mS1xz4q4NOiqkaqWu+l6jp86NH933ajz79szsoLSmVfpAYL+tS2t6+qrfsT1rI6DdqI1efo/Na1zMmr8kBl/4cPbx1F1nDYldtti0ZCpx0dLlce+Lk+KBkVPjyTenx9LlFaMI05YSIAdv3zUO3q5b7LHlZtG0sdGEJVOxOSpoXtuNHFVRg91KOcRGaqO//peKBESaGT2NOj9h8BYNZr6hC89ZsDRuffaduGHYuCxJk7Y2zZvE53bvFafs1Td6mMGqKOutnApVDm1GOdVnXd5r3mPjR/eNjJueeidbj/yBc4YWbOmPFStWxi8eHB1XP/5WVl2f3WXzOP/oQWYoqcvgda4GE8h7u9FgsC5MIIcCEug5rFS3RGB1AT8KNh4P6YveY658MpsOd9vu7eKOL+2ZvTDK25amj7zvpclx/v2jIk3Llbatu7aNHTZvn/0zaPMO2dSN1tLNW81X/360G9U3K4cj8hoXVz32Zlz4wOjYvke7+PtX9y7ZkRWpL3tk9LT412vvxqOjp60aSZhis12LJnHAtl3jE9t3jX226hytmuWvjyuH/wZL8R7z2m6UYl0UW5nzHhupTT7jpuHx9Fszsylwf3X8jnHYoO7FVg3rlGfxsuXZ88I1j78Vr0+rWCqkSaNNsmnd0/Tu2/VoV/T3oID5FMh7m5HPWivMXeU5NtIsiZ++8slYuTLiT1/cI4b071QY1NWucvPT78SP7xsZabWPIf06xpVf2CXat2xa8HK4IIG6FMhzu1GXTs5FgECEBLooIJBzAT8KNlzBS5eviFNveC6eeH16dGnbPO47e6/o3r5lrqNi3qKl8et/vx7XP1kxrfvqW3pBtlXXtjGoZ0qoVyTWt+7W1nTvuY6IdW9Ou1FmFV7F281jXKQ2cL9LHokJMxfGRZ8ZFMft1ruKGsW9Wxr1+NSbM+Kfr06Nh157N2bMX7KqwM2bNIqhAzpno9MP3LZrbNa6WXHfjNKVtEAe242SrpAiKnyeY2PavEVx0nXPxagpc7OPcq8+YZcGSXrUprrTyMPHxr4XVz3+ZvYRQOU2dECnOGOfLWPv/p1K9oOz2rg4tuEE8txmNJxqPq6c19hYtnxFHPG7YVlf8umde8ZlxzbcMlOPjJkWZ9/6QvaB7oAubeK6k3eLXpu1ykcAuYuyFMhru1GWlemmCdSzgAR6PQM7PYGGFvCj4KNrII3I/v69FWsStmzaOG4/c88saVwuWxqF/tKE2TFi4ux4ZdKcGDFxzhpJlkqHpo03yZLog3p2yBLrKamekuzNmpgOOK+xot3Ia83W7r7yGBdpxPYpNzyXjdB+5nsHRstmjWuHVIRHp48EXhg/K/45cmr887Wp2ccClVtaIn33vptl07ynhPrmm3oRVoRVWNJFymO7UdIVUkSFz2tsjJs+P0687tkYP3NBdGrTLG44ZfcY2LO0ny9emTg7m8L3/hFTshGIaduue7sskX74Dt0tEVJE/13luSh5bTPyXGeFure8xkaaCSTNHtihVdN4+Bv7Rsc2zQtFut7rvDp5Tpx2w/CYOndRdGrTPK49adf4WK8ODVomFydQU4G8ths19XAcAQIfLSCBLjoI5FzAj4KPruA/PvFW/Pwfo7I1Ca/6wi5x8Pbdch4NG7699EHBlDmL4pWJc2LkpDkfJNVnx6wFS9c5ME1FuU33D0aqfzBaPSXVrbGbjxDSbuSjHuv6LvIYF6dc/2w8Mua9OG3vvvHDT25X12RFd77Uzo+eOi8bmf6vV9+N16bMXaOMA3u2y5Lpn9i+W2zVtY3RhUVXg6VXoDy2G6VXC8VZ4jzGRvr9fPL1z8b095dE781axU2n7h59OrUuzgqoQakmzFwQ1/737bh9+IRYsGR5doYe7VvESUP6xDG7bN7gyZ0a3JJDSkggj21GCfFXq6hXXHFFXHzxxTFlypTYfvvt41e/+lUMHTr0I8+R/v7KK6+M8ePHR6dOneKYY46JCy+8MFq0aFGl6+YxNibOWhAHXfZ4LFy6PH55zA5x7K69qmRR3ztNmbMwTr1heDYqvkXTRvGr43aKQwaW93u0+jZ3/voRyGO7UT9SzkqAgAS6GCBQYAEPEwUG/4jLpeTBl255PltL6geHbxtfHLplcRSsyEqRki2TZi/MRqenUepZYn3inJizcD1J9SaNsjXkd0gJ9Q+S6v06t4kVK1fG4qUrYvHy5dm/lyxfsdq/l6/5/5ctjyXLVsTiZStW/Tv977Qe49p/vmTZ8li2fGUcuWOPOGrHnkUmV9rF8TBR2vVXX6XPW1yMn7Eg9r3kkawfeOSb+0XfHCU5qhoDKRmSJdNfezeGj5u5amRhOn6Ljq3ikO27xaGDusfHNm8vmV5VVPutIZC3dkP11p1A3mJj8uyF8YnLH495i5dlo7NvOHW36NK2asmfulMtzJlmL1gStz4zPq4fNi6mv784u2iaseqg7bpmS6Gk6d0bpylObATqUCBvbUYd0hTVqW677bY44YQTIr332muvveKqq66KP/7xj/Haa69F797rLpV06623xmmnnRbXXXddDBkyJMaOHRsnn3xyHHfccXH55ZdX6d7yFhvpHcxpNw6P/4yels0UddsZg4vqd/j7i5fF2X96IR4d8142GOX7h22bfYy8Sfo/NgIlIpC3dqNE2BWTQEkKSKCXZLUpdKkKeJgojppLyeBjr3oq+5r3f/boHT//1EA/9qtRNemBLk0BPCIbpZ6mgJ+T/e95i5ZV4yx1u+vFx+wQny2Sr7Lr9s4a5mweJhrGvdivmre4uOD+UdmUtPts1TkbJVju24z3F8fDo6ZlCfUn3piefbRUufXs0DIbXXLYoG6xU69No5HESLmHS5XvP2/tRpVv3I4bFchbbFzx6BvxywfHZMnzv5w5ONq1aLpRg1LfYdHS5fHXlybHrc+Oj5cnzF6jz0gj0j+76+aWBin1Si6i8uetzSgi2jotyh577BE777xzNqK8ctt2223jU5/6VDaqfO3t7LPPjlGjRsXDDz+86q/OPffcePbZZ+OJJ56oUtnyFhsPjJgSZ936QvZh0gPn7BP9u7SpkkMhd0rrs//kb6/GLU+Pzy574p5bxI8+uV00aWyZv0LWg2vVXCBv7UbNJRxJgMDGBCTQNybk7wnUoYCHiTrErOGp0uiQT/1+WEybtziGDugU15+8mx/5NbRc/bAVK1Zmaz1+OEp9doycNDfS18mVW/oguXmTRpGmf2/etPEH//7w/zfP/rxRxT5N0r/X3ift2zjbp+IcjbKXdbcPn5iNcknT8B+4Xdc6uBun8DAhBtYnkKe4SC/9B1/4cMxesDT+eOKu2o61Knz+4mXx2Nj34oGRU+PhUe+umqo37da1XfM4dGD3OHRgt9i1z2ZGGWouNiiQp3ZDVdetQN5i44jf/jf7oPSCowfF5/dYd5Rl3eoV39nSdL63PTch7nlx0qqZqtJv/6EDOsfxu/WKA7ftmv2+txGoqUDe2oyaOhTzcUuWLIlWrVrFHXfcEUcfffSqop5zzjnx0ksvxWOPPbZO8f/yl7/El770pfjXv/4Vu+++e7z11ltx+OGHx0knnRTf+c531nu7ixcvjvRP5ZZio1evXjFnzpxo165dMRNttGxzFy2NAy99LHtf9bWP949vHLz1Ro9pqB3SwIo/PvF2XPDAqGxGr49v0yV++7mdonXzJg1VJNclUGUBfUqVqexIoOwFJNDLPgQAFEqgUA8Ta9+PHwUfiqRk7jFXPpmt/5rWdr3zrCFlMTqkUDG+9nVSUj1N9d40S4Y3iiaNNqnzkf7poe2bd7wSd70wMbtGGkW6x5YdG+qWc3Nd7UbpVGUhlwXJU1zcMXxC/N+dr0QaWf34t/aXBN5AyKePDR4f+17cP2JK/HvUtDU+jOrUpnkcMrBrHDawezbFpFEnpdN2FKqkeWo3CmXWUNcpZH+S7jFPsZGWwxj6y0ciTc7x7PcPjNQ2luuW+ow0k0laJ33YGzNWMWzWull8eqeecdxuvWJA17blyuO+ayGQpzajFgxFfejkyZOjZ8+eMWzYsGw69srtggsuiBtvvDHGjBmz3vL/9re/jTTqPD3bL1u2LM4666xsCviP2n7yk5/Eeeedt85f5yGB/uP7RsaNT70TfTq2ige/vk+0aNq4qOs8FS6NmP/6bS9ly/ClWViuO3m36NY+n0uYFH1lKGCVBfQpVaayI4GyF5BAL/sQAFAogUI9TOT5a9za1FWaYur0m4bHI2Pey15q3fuVIaYUrA1oER2b6jatZ58SO22bN4nbztwztutR2l+eNzSvh4mGroGqXb/Qy4LkKS6O/N1/45WJc+Jbh2wdX96vf9XA7RWLly2P/74+Pe4fMTUeem1qzF1t6Y6OrZvFwdtXTPM+eMuO0dQUjiImZ0nSPFdoofuTZJmnPuXqx9+MC+4fHUP6dYw/nT44z6FSrXsbP2NBlki/4/kJ8e7cD0eL7rLFplki/fBB3Y1UrJZoee+cpzYjrzVZ+c7rySefjD333HPVbZ5//vlx8803x+jRo9e59UcffTSOP/74+PnPfx5pxsY33ngj0oj1008/PX74wx+ulyqv77xemjA7jr5iWDaa+9Yv7hF79e9UMqHy4vhZ2fu26e8vie7tW8QfT9o1tu/RvmTKr6DlJ6BPKb86d8cEaioggV5TOccRqKZAoR4m8vw1bjXJ19j9J399NW54clw2SjklWHfs1aE2p3NskQmk0S4nXvtsPDtuZvaBxF1n7RlbdGxdZKUsneJ4mCiNuir0siB5iYu09MNRvx+WLQXx1Hc/Hh3LeKRgbSI9rZH+5JvT44ERU+Ofr03NpsOv3Dq0ahoHb9c1Dh3UPfbq18m0vbWBLvFj89JulHg1bLT4he5PUoHyFBupT0l9y88+NTBOGLzFRr3LbYf0sWtaFiRN8f7w6GmxfMXKjKB1s8Zx5I494rjdesfHNm9f5zNVlZtz3u83T21GXuuqJrMuDh06NAYPHhwXX3zxKpZbbrklzjjjjHj//fejUaONL/2Qh9hI7eQRvxsWaTmMNFvHZcftWHJhkmZjOfn6Z+PN9+Zn67efuU+/OPvj/UtiFH3JYStwrQXy0G7UGsEJCBCokoAEepWY7ESg9gKFepjI69e4tamBG4a9HT/522vZKa74n53jsEHda3M6xxapQJou/virn84eOntv1iru/NKe0aWdqcNqUl0eJmqiVthjatKn1GSNwdXvKi9xce7tL2fLPpTqy6nCRlrVrrZ0+Yp45q2Zcf/IKfHPkVNjxvwlqw5s26JJHLRdxTTvew/oVOOXaGn0+/zFy+P9RcuyaeTnL1n24f9eXPFnaerIAV3aRBrd6MOIqtVdfe+Vl3ajvp0a8vwN0Z+k+81LbEyctSD2vuiRSOt9P/O9A6JLW789NxTP0+YtiruenxS3PTc+xs1YsGrXbbq1jWN37RVH79QzNm3drCH/k3DtIhXIS5tRpLx1Vqz0QdYuu+yyxhTs2223XRx11FFx4YUXrnOdtO+BBx4YF1100aq/+/Of/xynnnpqlkBv3HjjU5jnITauefytOP/+UZE+Qn34G/uW7O/YOQuWxjfvfDkeeu3drD7TVPQ//9Sg7BnARqCYBPLQbhSTp7IQyLOABHqea9e9FZ2Ah4nCV8l/Rr8bX7xxeKSBDt8+ZJs4a79+hS+EKxZMIL2UO+bKp2L8zAWRXsSl2Qbat2xasOvn5UIeJoq/JguxLEgeP8iaOX9JDL7w4Uijp+/58pDYqfemxV/ZJVbCNIImzQaSRqY/+OrUeG/eh9P2tmneJA7Ytks2Kn3pihVZAnx+lvxeHu8vXlqRIP8gGV7x5x8kyxcvi6XLK0YsVnXr26l17Nx70yyZnv5JifVGaYFiW0EF9CcF5a7RxQrRn6SC5bFPSff1xyfeip//Y1Ts3nezuP3MD6csrlFllNFBaa3jZ9+emY1K/8eIKdkHUGlLs8N8YmC3+PqBA6Jf5zZlJOJWNyagP9mYUHH8feWSIH/4wx+yadyvvvrquOaaa+LVV1+NLbbYIk488cRsnfTKZHqaQfGyyy7L9qucwj2tgZ4S6+lcVdlKPTbSh1gHXfZ4LFy6PH75mR3i2N16VeW2i3af1L7/89V3I80COXXuoqyc6eOoHxy+bcl+GFC02ApWY4FSbzdqfOMOJECg2gIS6NUmcwCBmgt4mKi5XU2OfG3y3PjsH56M+UuWx3G79opffGaQqQFrAllix7wzY3585sqnYvr7i2P3PpvFTaftXuMRjyV263VWXA8TdUZZbycqxLIgeVwS5A+PvRm/eGB0DOzZLv529t76hHqL0IoTp2l6n39nVtw/Yko8OHLqqpdotblsy6aNo02LJpGS8a2bN87+XfG/m0TjTTaJkZPnxNh331/nEmkkfPpgYpcPkuo79u6QHWerXwH9Sf361sXZC9GfpHLmsU9J9/WZK5/M2rmfHLFdnLxX37qokrI7R5pF6q8vTYq/PDchXp08N7v/Zk0axTkHDIgz9tkymjbe+BTOZYdWhjesPymdSr/iiivil7/8ZUyZMiUGDhwYl19+eeyzzz7ZDey3337Rp0+fuOGGG7L/v2zZsqhcI33SpEnRuXPnOOKII7I/69ChasvulXJspGRzGvCRlrdIH2Lddsbg3DyfzFu0NC7919i48alx2bruaXT99w7dNj676+a5ucfS+a9SSdcWKOV2Q20SIFBYAQn0wnq7GoFsKisPE/UfCO/OXRSf+v2wmDJnUQzp1zFuPHV3L1/qn71orpA+njju6qdi3qJlceC2XeIPX9glmnj5VuX68TBRZaoG27EmU+5Wd43BvI0WTMnc/S55JCbMXJiL0R0NFnw1vPCKFSvjxQmzs2T62HfnRZYI/yDxvSoh3iwlx5tGm+aNs4T46snxtE/rZk2icRVGkafpI1+cMCteeGdWPD9+Vrw4fnYsWLJ8jZKn02zdrV3sskWHilHqvTeLXpu19EKvhvX7UYfpT+oYtB5OV4j+JBU7b31KuqepcxZls5qk7envHhDd2pu+vbYhOnLSnLjkX2Pi0THvZafatnu7uOgzg2KHzauWSKvt9R1fvAL6k+Ktm4YuWSnHxoMjp8SXbnkhWzP8gXOGRv8ubRuas86v/9KE2fG9u0fEa1MqPpBKHwpccPTAXN5rneM5Yb0JlHK7UW8oTkyAwHoFJNAFBoGcC5Tjj4IFS5bFsVc9FSMnzY1+nVvH3WftFe1bmcY756G+zu2laSFPuPaZbErIz+y8eVx8zA6m761iEJRju1FFmqLardDLgpR6XKQlPU69YXi2rENKdLRstvE1FYuqwhWmxgJpWvkx786rSKh/kFRPH1KsvXVq0/zDhPoWm8b2PdqbwaTG6hUHlnq7UcvbL5nDC92f5CU2bhj2dvzkb69lH+HcddaQkqnvYi9oGpF570uT4qd/ey1mLVga6YOnLw7dMv73wK303cVeefVYPv1JPeKW+KlLOTaOvmJY9qHn2fv3j29+YusSr4mPLn76LX79sHFx2UNjs6nq0wcDZ+3XP768Xz+/tXNb68V9Y6XcbhS3rNIRyJ+ABHr+6tQdEVhDoBx/FHzrzpfj9uETY7PWzeLeL+8VvTu2EhVlKvDv196NM295PptG+PShfeN7h21rdGEVYqEc240qsBTdLoVeFqTU4+Lk65/NRrSltuD7h29XdPWpQIUVmDZ3UUUy/YOEehr1uPY662kt3jTdf0qOnTC4j98TNaiiUm83anDLJXlIofuTvCTQ0we76YPNtK5rSvDa6lZgxvuL46d/fy3ue2lyduItOraKC48eFEP6d6rbCzlbSQjoT0qimhqkkKUaG3MXLY0dz/tXrFgZ8eR3Ph49OrRsEL9CXnTCzAXxo/tGxiMfzDKyZafW8fOjB8aQftr1QtaDa/nIVwwQIFB1AQn0qlvZk0BJCpTqw0RNsdO0rbud/+9YsnxF/On0PfwQrylkjo678/mJ8c07Xs7u6NuHbBNn7dcvR3dXP7dSbu1G/SgW5qyFXBaklOPinRnzY79LHs3W33v0m/tFn06tC1NBrlIyAouWLo+URK9Mqr8wflZMf3/JqvJ3bdc8Hvu//Y2SqWaNlnK7Uc1bLfndC9mfJKxSj41p8xbFHhc8nPUrw77z8ehZBomPhgryNIPMD+4ZGZPnLMqKcNyuvbKPYs0w1lA10jDXLfU2o2HUyuOqpRobD496N067cXj07dQ6HvnmfuVRWRGRZhl5YOTU+MlfX41p8xZn951mDPz+4dtmg2BsBAohUKrtRiFsXIMAgTUFJNBFBIGcC5Tbj4Jbn3knvn/PyNimW9t48Ov75Lx23V5VBa55/K04//5R2e5pHcXjdutd1UPLcr9yazfKspJrcNOlHBcX3D8qrn78rdh3q85x46m71+DuHVJuAunl3viZC7KE+kUPjo535y6OC44eFJ/fQ/9RnVgo5XajOvdp3+oLlHps3Pz0O/HDe0fGx3p1iPu+slf1ARxRLYH3Fy+LXz44Om566p3suM5tm8fPjto+DhnYvVrnsXPpCpR6m1G68sVf8lKNjZ/9/bW49r9vZ78t02/MctvSCPyLHxwTtzzzTvYx2qatmmYfRx2zy+ZmDSy3YGiA+y3VdqMBqFySQNkLSKCXfQgAyLtAuf0o+PQVw+KF8bPj+4dtG6fvYyrFvMd3de7vFw+Mjj889ma2juKVX9glPrF9t+ocXlb7llu7UVaVW4ubLdW4SCOLB1/4cMxesDSuPWnXOGDbrrVQcGg5CqSXm+klZ5+OreLhc/eLxqkjsVVJoFTbjSrdnJ1qJVDqsfH5a56OJ9+cEd89dJs4c1+zG9UqGKpx8PBxM+Pbd70Sb743PzvqkO27xU+P2j66tGtRjbPYtRQFSr3NKEXzUilzqcbGob9+IkZNmRu/+/xO8ckdepQKd52XM8369L27R8ToqfOycw/ecrM4/+hB0a9zmzq/lhMSqBQo1XZDDRIgUHgBCfTCm7sigYIKlNOPgrenz4/9L3k0S5A+/d0DvEgpaKQV/8XSaMLv3DUibhs+IZo1aRQ3nrJ77NmvY/EXvAFKWE7tRgPwluwlSzUubh8+Ib515yux+aYtsym4JT9LNgQbrODzFy+LvS76T/YRxu8/v3McvoMRj1WtjFJtN6p6f/aruUApx0ZamzstGZXWrX3iW/tHr81a1RzCkdUWSB/G/e4/b2Qfxi5bsTLatWiSTf177K696nXUYnqWeGv6/Hj6rRkxefbC2K3PZjF4y46W9qh2DdbsgFJuM2p2x46qqkApxsbM+Uti5589lN3i8B8cGJ3aNK/q7eZyv6XLV2Sj8X/177GxaOmKaNa4UXxl//7xlf37RZPGjXJ5z26qYQVKsd1oWDFXJ1C+AhLo5Vv37rxMBMrpR8Fl/xoTv/nPG7Hf1p3jhlNM0VsmIV6t21y2fEV8+dYX4l+vvRttmjeJv5wxOAb2bF+tc5TDzuXUbpRDfdbVPZZiXKSX3Uf+bliMmDQnvn3INnHWfkYJ1lU8lNt5Ln9obPz64ddjYM928bez967XJE2ebEux3ciTfzHfSynHxp+fHR/fvXtEDOrZPv721b2LmTnXZUsjN9No9Fcmzsnuc0i/jnHhpwfFFh1b18l9p98Q78xYEE+9NSNLmj/15oxV6/VWXqBF00axV79Osf82XbJ/enZoWSfXdpJ1BUq5zVCf9StQirFx/4gp2XsJSw+uGRvjZyyIH9w3Mh4f+172F6fs1Sd+fMT29RtAzl6WAqXYbpRlRblpAkUgIIFeBJWgCATqU6BcfhSsWLEy9rn4kZg4a2H85nM7xZEfK98psOoznvJw7jRq5aTrno1n3p4Zndo0izu+NCT6dqqbF2158En3UC7tRl7qq1D3UYpx8dKE2fGp3w/LZp1IM5Ns1rpZobhcJ2cCaaTQXr/4TyxcujxuPm33GDqgc87usH5upxTbjfqRcNa1BUo5Nk649pl44vXp8a1Dto4v79df5TagQPo49vph4+LSh8ZkoxZTQvsbB20Vp+7Vt9qjFlPCPD1LpkR5ZdJ8ypxFa9xd+j2xS+9No3uHFvHkGzNi6tw1/36rrm0qkulbd4ldttg0mho5WWfRUcptRp0hONF6BUoxNn5w74i45enxEsTrqdHUFqcZxL5914jsby/57MeyddFtBOpSoBTbjbq8f+ciQKDqAhLoVbeyJ4GSFCiXHwVpVMDxVz8dbZs3ied+cKCp9EoyWgtX6LmLlsbxVz0dr02Zm03rfNdZQ6KrtRNXVUC5tBuFi7h8XKkU4+Ibt78Ud78wKT69c8+47Ngd81ER7qLBBM7726tZoiaNcvzT6YMbrByldOFSbDdKybeUy1qqsTFr/pLY9fx/x/IVK+ORb+7nI8wiCcJ3ZszPZgVI69KnbYfN28cvPr1DbNej3QZLOHHWgnj6rZlZ0jw9T06avXCN/dM0wjv27hB7btkxm659p94dVj1npiRPWrP3P6OnxaNjpsXz78zKpvWv3Nq2aBL7DOiczY6239ZdonPb8p6iubahUqptRm3v2/EbFyjF2Pj4pY/GW+/Nj2tO/H/2zgOqimvr438BQUXsXWxgwa6AAopgQewltkSNPbGX2HuJjaiJMRp718QSu7GDoNIUQbAhYsEKYgcU6XxrxpDPl2i8d+6dmTMz+6711nvrec7Z//07m33PnTNnH0e0rFHy805qsEVOhUnuxaXdg51Rv3xhDVIgl8UioMS8IRYLGpcIEIH/JkAb6BQhREDlBLSyKJi09zL+CH2ELx3LYVG3OiqfVXLPGASeJaWi+5og3HuRjGolrfDjRVX2AAAgAElEQVTHEBcUzJfbGEMrfgyt5A3FT5TEDigtLrgTw85ep5GWkYWDIxqjXrlCEhMjc2ojwG2suC/24+/cPTSiMepSTH12ipWWNz7rEDUwGgGlxsYfFx9i0r4rqF66AI6PaWI0HjSQ4QS4De09oY8w/2gkElMyYGaSC0PcbTCqeZW/N73jEv46Yc5tmMe8wMOX/7thzvXh1gsutu83zO3LF0Zec1OdxL1OTsO5W89xhttQj34Gbh3y4Yfb1Oc20pvblUCdsgVhYpJLp3Gp0XsCSs0ZNH/iE1BabDxJSOF/o3ApIHyWJwrmpWcQH4sSrsrk4O1h8LkRj5IFLPgrlErQoQfx/6A0YkFpeUMj00JuEgEmCdAGOpPTQqKIgPEIaGFR8C4tEw0W+OBNaga/CdqwUhHjAaSRVE3g4ctkdF0dxN9n6FihMLYPctL5IZmawWghb6h5/sTyTWlxsfrMHSw6EcXfUXt4ZGO6s1qswNDYuDlVDdrUKoXVXztozHv93VVa3tDfQ+ohlIBSY6P/5hCcufkM41tWxagWVYS6T/1EJPA0MQWzD1/H8WtPeCs2xS3RoEIRfsOcu9P8w4+pSS7+tDp3wpzbNOfKruczNzNYHVeh4Mqj1/C7+Qx+UU9x9fH7e9pzPkUtzeFerThf6p07pU4v8X4euVJzxuc9oxaGElBabBwIf4Sxuy+jrnVBHBrpaqj7qu6flJKOL1YF4fbTN3wFkF2DnWFhpttLTaoGQ84ZTEBpecNgh2kAIkAEBBOgDXTB6KgjEVAGAS0sCg5FPMaYXREoVyQvzk5oRm/zKyM0mVEZ9SQRPdYE8ydVmlUrjnV9HTV/X6EW8gYzAaggIUqKC+7BtfsSP/4u08Xd6qCHYzkFkSapLBOIjk+C58/nkCsX4DPOHbbF87MsV3ZtSsobssPSmAAlxkZCcjocF3gjPTOb//uvXIL+/lkO2xPXnmDmoWvgqk7lfLgTn9yLdc62RflNc8eKRZDfwvAN889xeJqUgrPcZvrNp/CPfo6k1Iy/u3Cb+Ny96j2dyqFzvbL0wt8nYCoxZ3wuLujfjUNAabExcc9l7Al7hKHutpjSxs44EFQ8Sszzt+j0awD/vIarOPlD19qUJ1U831K5prS8IRUXskMEiMC/CdAGOkUFEVA5AS0sCvpuCsG56GcY3aIKxrWsqvIZJffEIBB67yW+3ngBKelZ+KJ+WfzUva6mX8TQQt4QI47UPqaS4uL0jXgM2hqKQvly4/zUFn+XblX7HJF/0hD4ZmsoX06Sro35PG8l5Y3Pe0MtjElAibGxL+wRxu+5jKol8+PUWHdj4qCxRCKQ8C4dmwJi8C49E842RdCgYhFY5ZG3XHJ6ZhZC773i703nNtSj49/87T1XEev7TjVRs0xBkYgod1gl5gzl0laWciXFBnfVhOsiP3DXAm0b2BBuVYsrC7ZMarl8OXDLRWRlA3M71URfl4oyKSGzaiGgpLyhFubkBxFQKgHaQFfqzJFuIqAjAbUvCuITU+DidZpfSJ+Z0BQVi1nqSIaaEYH/JeAbFY9vt4WBO7k6sHElzGxfXbNvNqs9b1DsCyOgpLjotykEZ6OfYbCbDaa1rS7MYepFBD5BIOz+K/76j9ymueA/qTlKFcxDrD5BQEl5gyZRWgJKjI1vtl6Ez42nGNOiCsbSS7vSBoyKrT16lYyD4Y+x6swdJKdl8vcif+1cAeNbVqPS7h/MuxJzhorDlinXlBQb91+8hfuSM/wa8vJsT6NcGcHUZIgoZu3ZO/A6HgWuasdvg5z4azfoQwSEElBS3hDqI/UjAkTAOARoA904HGkUIsAsAbUvCtadu4OFx6L4+6v3DmvE7DyQMGUQyLmPjFM7sVU1jGhWWRnCjaxS7XnDyLg0M5xS4uLe87do+uMZvsQ292JVhaL0YpVmglRCR3usDUZIzEt826QSprerIaFlZZlSSt5QFlV1qFVabHD3sDrM80FaZhZOfueGaqWs1DER5AUzBOIS3mHB0Rs4ciWO11TE0hyTW1dDd4dymq6MlTNBSssZzASWBoQoKTZ2hjzA1P1X0bBiEfwx1EUDs2M8F7nT+9zVjYcvx/L58fDIxrAunM94BmgkTRFQUt7Q1MSQs0SAQQK0gc7gpJAkImBMAmpeFHAL6NbL/HEzPgkLv6iNXk7ljYmOxtIogY0BMZh3JJL33qtLbfRsqL24UnPe0GhYG8VtpcTFgqORWO8fg6bVimPLgIZG8Z0GIQL/JOAX9RQDtlyEpbkpgqa0oFOCnwgRpeQNinDpCSgtNg5FPOYf3NsUt8Tpce6arVIkfaRoz2LQ7eeYffg6bj19X9q9brlCmNepJupYF9IejA88VlrO0PRkSey8kmJj1M5w/Hk5liqZCIyRd2mZ6LYmCNdjE1GjdAHsG9YIec1NBY5G3bRMQEl5Q8vzRL4TARYI0AY6C7NAGoiAiATUvCi49jgB7VcEwNzMBBenedDDaxHjSGtDLzkZhZV+d/gSiqt626N1rdKaQqDmvKGpiTSys0qIC+6hirPXafB3nvZ3RHO7kkamQMMRgfcEuJf42vzij6gnSZjgWRUjm1chNB8hoIS8QRMnDwGlxcaQ7aE4eT0eI5tVxoRW1eSBRlY1Q4C7J31r0D0s87mFN6kZfFWdrxqUx6RW1VDY0lwzHD50VGk5Q5OTJJPTSokNbu3YYIEPnr9Jw+7BznCyoRLkQkKGuz++44oAvHibhvZ1SmNFz/r0UpsQkBrvo5S8ofFpIveJABMEaAOdiWkgEURAPAJqXhTM/TMSmwJj0K52aazsbS8eRBpZcwS4H7fTDlwDV2LN3NQEx79rAtvi+TXDQc15QzOTKIKjSoiLPy4+xKR9V1CuSF6cmdCMvyOPPkRALAI5J1KLWpojYHJzOgFDG+hihZoqx1XCd0oO+LepGbCf543UjCwcG90ENcoUUOWckFPsEXiamMLf+Xsg/DEvrlC+3JjgWY2vkKW1NY6ScgZ7kaRuRUqJjej4JHj+fA55cpvw959bmNHJaaGReeHuC/TecAEZWdmY3NoOw5raCh2K+mmUgFLyhkanh9wmAkwRoA10pqaDxBAB4xNQ66KAeyvfxes0//YunTI0ftzQiEBmVja6rg5CxMPXWPBFLfR2qqAZLGrNG5qZQJEcZT0uuBdfOvwagGuPEzGljR2GutODFJFCgYb9i0BGZhaa/ngGj169w9xONdHXpSKx+QcB1vMGTZh8BJQUG0euxGLkjnBULJoPfhOa0kk3+cJGs5ZDYl5i1qFrfNUT7lOrbAHM7VQL9uULa4aJknKGZiaFEUeVEhtbAmMw589INKlSDNsHOTFCT7kytp+/j5kHr/EVOjb1a4BmdiWU6wwpl5yAUvKG5GDIIBEgAv8iQBvoFBREQOUE1Loo8I2Kx8AtoSiW3xzBU1sgt6mJymeS3JODwIyDV/Hb+QcY1bwyxntqp1ynWvOGHDGkJpusx0X4g1f4YlUQf63H+aktUESjJU7VFHNK8GV78D3MPHQdZQvlxZmJTWk9QhvoSghbJjSy/p3yIaThv4fh2NUn/Ak37qQbfYiAHAS4l7Z+O38fP3lHIyklg5fQ3cEak9vYoVh+CzkkSWpTSTlDUjBkDEqJjcHbQnEqMh6TWlfD8KaVaeYMJPC+auBV7Ax5CKs8Zjg0ojFsNFQ10EB8mu+ulLyh+YkiAESAAQK0gc7AJJAEIiAmAbUuCkb8fglHr8ZhYONKmNWhhpgIaWwNE1jpdxtLTt5EV3tr/NSjrmZIqDVvaGYCRXKU9bgYtzsC+8Mfa+7vVaTppmF1JJCSnonGP/jy9zAu+7IeOtcvq2NPbTRjPW9oYxbY9FIpsZGclgGHeT54l56JP0e6orZ1QTaBkirNEHiWlIrFJ6KwJ+wR7zO3cTS+ZVV87VwBZip+qVwpOUMzgciQo0qIDa66Xf25p5CYkoGDIxqjXrlCDBFUrpS0jCz0XH8eYfdfwba4Jc/WKk9u5TpEyiUjoIS8IRkMMkQEiMB/EqANdAoQIqByAmpcFCQkp6PBQh9wi+Ujo1xRqyw9yFJ5GMvm3oHwRxi7+zIa2RbFjm+dZdMhtWE15g2pGarRHstx8eJNKly8fJGWmcWfPqhLD6XUGILM+vSr7y38eCoadqWscHxMEyrv/MFMsZw3mA0ojQhTSmwcvxqHYb9fgnXhvPCf1Iz+vjUSn0pwk9swmn34Gn91DffhvoO4su4NKxVRgny9NSolZ+jtGHUwmIASYuPqowT+qikrCzOEz2qp6pddDJ5QPQd4mpSCjisC8SQxBS3sSmB9X0eYmOTScxRqrjUCSsgbWpsT8pcIsEqANtBZnRnSRQSMRECNi4IdFx7wpZroQbWRgoSG+SSB4Dsv+DeabYpZwndCU82QUmPe0Mzkiegoy3Gx+swdLDoRhTrWBXF4pKuIFGhoIvBvAtyLfY1+OI23aZnY3J/uYPyQEMt5g2JZXgJKiY1RO8Px5+VYDHazwbS21eWFRtaJwD8IcKdad4Y84CtmJbxL5//1i/plMbWNHUoUyKMqXkrJGaqCrhBnlBAba8/egdfxKHhUL4EN/RoohKxyZF559Brd1gTzh2xGNquMCa20c/2ecmaJLaVKyBtsESM1REC7BGgDXbtzT55rhIAaFwXdVgch9P4rTGtrh8FuthqZSXJTDgL3X7yF+5IzyJPbBDfmttbMqSM15g054kdtNlmNC+7hsdtiPzx+/Q5LutVBd8dyakNP/iiAwMJjN7Du3F00rFgEfwx1UYBiaSSymjek8Z6s/BcBJcQGd0WDwzxv/uWYA8MboX75wjSpRIBJAi/fpvGb6LsuPkB2NpDfwgyTW1dDH5eKTOoVIkoJOUOIX9THcAJKiI1+m0JwNvoZZravgUGulQx3mkb4F4H9lx5h3B+X+f9/VW97tK1dmigRgU8SUELeoOkjAkSADQK0gc7GPJAKIiAaAbUtCu49f4umP54BV5EpeGoLlFTZm/WiBQINLIgA9+DUbuYJvm/4zJYobGkuaByldVJb3lAaf1b1shoXPpHx+GZbKArly43zU1sgT25TVhGSLhUTiE9MQZNFfvw1AnuHusCxojpL6Oo7hazmDX39oPbGJ6CE2Dh1/QkGbw9DmYJ5EDiluWZepDT+bNOIUhG4/PA1Zh2+Du6/uc/+4Y1gr5IXP5SQM6SaZ7LzvwRYjw3uVHS9uaeQnJbJX/VTvXQBmkKRCMw7EomNATHIm9uUz3/EWiTQKhiW9byhAsTkAhFQDQHaQFfNVJIjRODjBNS2KFjqHY3lp2/BrWpxbBvYkKadCIhOgDt59OJtGo6NboIaZbTxY1dteUP0INGIAVbjou+mEJyLfoYhbjaYSuV1NRKNbLo5Zd8V7Lr4kMpzfjA9rOYNNiNIW6qUEBtjd0fgQPhjDGxcCbM61NDWBJG3iiWQlZWNob+F4VRkvKrWRkrIGYoNGoULZz02Qu+95MuLF7E0R+h0D7qfW8R4y8jMQv/NFxFw+zmsC+flr/biuNOHCPyTAOt5g2aMCBABdgjQBjo7c0FKiIAoBAQtCrKyAGQDJmyd4uMeBrgt8cOjV+/wy1f10KleWVGY0aBE4EMC7Vf449rjRGzs54gW1UtqAo6gvKEJMtp2ksW4yKlKkisXcHZCM5Qvmk/bk0Tey0rg7rM3aLH0LF8+9+R3bqhWykpWPSwYZzFvsMCFNACsx0ZqRiYc5/kgKTWDqkpQwCqOwJErsRi5Ixw2xSzhO6Gp4vR/TDDrOUMVkBXqBOuxwR0A4Q6CtKtdGit72yuUsnJkv05OQ8dfA/HgZTIa2RblD96YmZooxwFSKgkB1vOGJBDICBEgAjoRoA10nTBRIyKgXAJ6Lwq2tAceXgD6HQHKOzHleEjMS/RYG8zf6XZxugfymrO1wc8ULBJjNALfbguFd2Q85nWuhT7OFYw2LssD6Z03WHaGtBmNAItxMf9IJDYExKBZteLYPICqkhhtsmkgwQSG/x6GY1efoIt9WSztUU/wOGrpyGLeUAtbpfvBemz4RsVj4JZQlCxggeApLejEoNIDTmP6k1LSYT/PG+mZ2fAZ547KJfIrngDrOUPxgBXsAOux8dW6YJy/+xLzO9fC1xp5niB3ON18koQvVgXyZfP7ulTA9x1r0jUsck8KY/ZZzxuM4SI5REDTBGgDXdPTT85rgYDei4LN7YD7AUCXDUCd7kwhyimN2sPRGou71WVKG4lRL4FZh65hW/B9jGhmi4mt7NTr6Aee6Z03NEGFnGQtLt6lZcJpoQ8SUzKwuX8DNLMrQZNEBGQncOXRa/7Ui5lJLpyZ2BTWhbVdFYG1vCF7gJCAvwmwHhsT9lzG3rBH6N+oIuZ0rEkzRwQURyDnipspbeww1N1Wcfr/KZj1nKF4wAp2gOXYSEnPRJ05p5CWmQXf8e6wKa78l1mUEionrsVh6G+XeLmjmlfGeM9qSpFOOiUgwHLekMB9MkEEiIAeBGgDXQ9Y1JQIKJGA3ouCA0OByzuBFrOAJuOZcZn74dFg/vsyirsGO8PZpigz2kiIugmsPnMHi05EoUv9slj6pTZOE+qdN9QdAuTdXwRYi4vdFx9g8r6rKFckL1++3cQkF80VEWCCQO8N5xF4+wVtvIH9Mt1MBIxGRbD2nfLhNKRlZMFxvjf/gtbuwc5wot8dGo1SZbu9PfgeZh66DocKhbFvWCNlO0PfJ4qfPzEdYPn7JPD2c/TecAGlCuRB8NTmdApazED4yNhbg+5h9uHr/L9MbFUNI5pVllgBmWOVAMt5g1VmpIsIaJUAbaBrdebJb80Q0HtR4LcQOLsIcBgAdFjGDKfDl2Mxemc4rAvnxbmJtFHCzMRoQMihiMcYsysCzjZFsGuwiwY8pg0PTUyyACf1/j4RYEPXLtnZ2Wi/IgDXYxMxtY0dhqjgZJWuvlM79gkE3HqOrzdeQJ7cJgia0gJFLM3ZFy2SQpbyhkgu0rACCbAcG2ejn6HfphAUy2+BC9NawJRe0BI4y9RNTgJxCe/g4uWLXLmAkGkeKG5lIaccg22znDMMdo4GMIgAy7Gx5GQUVvrd0dTL+AZNpgid1569A6/jUfzIM9pVxzdNbESwQkMqjQDLeUNpLEkvEVA7AdpAV/sMk3+aJ6D3ouDSduDwSMC2BdBnPzP8+m8OwZmbzzC6eWWMo9JLzMyLFoRcuPsCX647j4pF8+HMxGZacBl65w1NUCEnWYqLSw9eocuqIFiYmeD81BYorOENSopM9ghwL3hwZdyvPk7A6BZVMK5lVfZESqSIpbwhkctkRkcCLMfG5L1XsDv0Ib52Lo/5nWvr6BE1IwLsEeiwIoD/LlrUtTa+bFCePYF6KGI5Z+jhBjUVgQDLscHdwx3+4DWWdKuD7o7lRPCehtSFwDKfaCzzucU3pbvodSGm/jYs5w310ycPiYCyCNAGurLmi9QSAb0J6L0ouHsG2NYJKFYVGHlRb3tidHialALnhaeRlQ34TWiKSsUsxTBDYxKBjxJ4+DIZTRb78Rt1UfNaa6Lsmt55g2JHEwRYiouxuyNwIPwxujlY48fudTXBn5xUFoFjV+Mw/PdLKJg3N4KmNIelhZmyHDCSWpbyhpFcomGMRIDV2EjPzEKDBT54nZyOHd84oVHlYkbymIYhAtITWH76FpZ6R8Ojekls6OcovQAjWmQ1ZxjRRRpKIAFWYyMpJR315nojMysbgVOao2yhvAI9pG6GEuBebl104ibWnL3DD8X9fuR+R9JHuwRYzRvanRHynAiwS4A20NmdG1JGBIxCQO9Fwcu7wPL6gFleYHoc+JpvMn/Wn7uLBcduwL58Iewf3lhmNWReawS4ezCrzjjOux02wwNF8yu7/KEu86d33tBlUGqjeAKsxMXLt2n8S1VpmVk4PLIx6lgXUjxbckB9BLiHpR5LzyLm+VvMbF8Dg1wrqc9JHTxiJW/oIJWaSEyA1djIuYKBu3ohZFoLmJmaSEyGzBEB4xGIjE1E2+X+/JUi4TM9kdfc1HiDSzwSqzlDYgxk7iMEWI0N36h4DNwSqqlKdiwHKLeJ/v2fkdgSdA/czSzLe9ZH+zplWJZM2kQkwGreENFlGpoIEAGBBGgDXSA46kYElEJA70VBRhowvwSAbGDCbSB/cdldbb3sHKKeJGHBF7XQ26mC7HpIgPYIOM73wfM3qTgyyhW1yhZUPQC984bqiZCDHAFW4uL3C/cx/cA11CxTAEdHN6HJIQLMEtgZ8gBT919F6YJ5cHZiM5ibaW8jjpW8wWyQaFgYq7Ex7cBV7LjwAD0bloNXlzoaniFyXQ0EuA0j10V+ePz6Hdb1cYBnzVKKdYvVnKFYoCoSzmpszD8SiQ0BMejZsDy8utB1ICyEXFZWNrjv+V0XH8LMJBdW9bZXdF5kgalSNbCaN5TKk3QTATUToA10Nc8u+UYEhG54/GQHJMUB3/oCZR1k5Zjz1ry5qQkuTvdAwXy5ZdVDxrVJoOOvAbjyKAHr+zqiZY2SqodAPyZUP8WCHGQlLr5aF4zzd19iWls7DHazFeQLdSICUhBIzchEk0V+eJqUqtm7L1nJG1LMN9nQjwCLscFVjmi4wAcv3qZh28CGcKsq/4vE+lGl1kTg3wTmHL7On7js7mCNJQq+9obFnEHxxgYBVmOj7S/+iIxLxIqe9dGhLp10ZiNawJfUH/9HBA5GxIJ7zri+nyPc6fuelemRTAereUMyAGSICBABnQnQBrrOqKghEVAmAUGLgo2ewMMLQPetQM3Osjqe89Zu29qlsKq3vJv5soIg47ISGLI9FCevx2Nup5ro61JRVi1SGBeUN6QQRjZkJcBCXMQnpsDZ6zSys0F3CcoaDWRcVwJrz96B1/Eo2Ba3hPdYd5hwNSM19GEhb2gIt6JcZTE2gu+8QM/151Ewb26EzvBAbirfrqiYIrEfJxB0+zl6bbiAoty1BNM9YKrQ7yEWcwbFHBsEWIyNV2/TUH+eNw+IOwhS3Er918CxEQ26qcjIzMKoneE4fu0JLMxMsGVAQ7jYFtWtM7VSBQEW84YqwJITRECFBGgDXYWTSi4RgQ8JCFoU7B0EXNsLtJwHNB4tG1BuUevs5cuXzt7Q1xEeGjj5KxtsMvyfBHJObgx1t8WUNnaqpyUob6ieCjnIQlxsCojB3CORcKxQGHuHNaJJIQLME0hKSUejH3yRlJKBtX0c0ErB5XOFwGYhbwjRTX3EJ8BibMw6dA3bgu8r/qSu+LNHFpREID0zCw7zvJGYkoG9Q13gWLGIkuT/rZXFnKFIkCoUzWJsHL8ah2G/X0K1klY4OdZNhdSV71JaRhaG/hYG36inyGduiu2DnOBQobDyHSMPdCLAYt7QSTg1IgJEQHICtIEuOXIySASkJSBoUeAzBwj4GWg4GGi7RFrBH1jzi3qKAVsu8m/Ln5/Wgk6ByDYTZDjnBGHnemWw7Kv6qgciKG+ongo5yEJcfLEqEOEPXuP7jjXRr5H6q0FQ1KmDwJKTUVjpdwf1yhXCgeGNkCuXdk6hs5A31BFF6vOCtdjg7kV18jqNZ0mp2Ny/AZrZlVAfdPJIswTG7ArHoYhYDHGzwdS21RXJgbWcoUiIKhXNYmzMPHgN28/fR/9GFTGnY02Vkle+WynpmfhmaygCbj+HVR4z7PzWGbXKFlS+Y+TBZwmwmDc+K5oaEAEiIAsB2kCXBTsZJQLSERC0KAjdBBwZC1RtA/TaJZ3Yf1gaueMSjlyJw4DGFTG7A/3okG0iyDAOX47F6J3haFipCP4Y4qJ6IoLyhuqpkINyx8XDl8lostgPXOVR7qWqElZ5aFKIgCIIcBtyrot8kZqRhV2DneFso50SkXLnDUUEiEZFshYbF++9RPc1wfwD9LAZLWFuZqLRmSG31UjgyJVYjNwRDptilvCd0FSRLrKWMxQJUaWiWYyNFj+dwZ1nb7GujwM8NVZ9SGlhlpyWgX6bQnDx3isUzpcbuwa7oFopK6W5QXr1JMBi3tDTBWpOBIiARARoA10i0GSGCMhFQNCi4JYP8HtXoGQtYFigLNIT3qWjwQIfcGWVjoxypbdAZZkFMppDIOeharkieeE/qbnqwQjKG6qnQg7KHRerz9zBohNRaGRbFDu+daYJIQKKIjDj4FX8dv4B3KsWx9aBDRWl3RCxcucNQ7RTX3EJsBYb3/95HZsD76GLfVks7VFPXOdpdCIgMQHuOhH7ed5Iz8yGzzh3VC6RX2IFhptjLWcY7hGNYCwCrMVGfGIKnBae5l/6DZ/liYJ5cxvLVRpHJAJcjvx6YwguP3yNYvktsHuIM2yLKy9PioRHlcOyljdUCZmcIgIqIUAb6CqZSHKDCHyKgKBFwbObwMqGgEUBYOpDWeDuDHmAqfuvomrJ/Dj5nZumyp3KApyM/ieBR6+S4brID+amJoia1xom3K9hFX8E5Q0V8yDX3hOQOy7a/uKPyLhEeHWpjZ4Ny9O0EAFFEXjwIhlNf/RDVjZwdLQrapbRRnlIufOGooJEY2JZig2ufHvjRb6IS0jBhr6O8KhRUmOzQe5qgUDfTSE4F/0MU9rYYai7reJcZilnKA6eygWzFhsHwx/ju90RqGNdEIdHuqqcvnrcS0hOR8/15/nfm6UK5MGeoS4oVySfehwkT/6HAGt5g6aHCBABdgnQBjq7c0PKiIBRCAhaFKS9BRaWeW9/8n0gbyGjaNFnkO5rgvgSSlPb2GGIAn/g6+MrtWWfQHpmFqrOOI7sbODidA8Ut7JgX7QBCgXlDQPsUVdlEJAzLm4/fQOPpWdhZpKL/xssbGmuDGikkgh8QIC7CoS7EqRD3TJY0bO+JtjImTc0AVjBTrIUG2H3X6Hr6iDktzBD6AwP5MltqmCyJJ0IfJzA9uB7mHnoOhwqFMa+YY0Uh4mlnKE4eCoXzFpsTNp7GX+EPsIQdxtMbVNd5fTV5d6LN6n4ct15cL89rQvn5TfRS4W9q9cAACAASURBVBfMqy4nyRueAGt5g6aFCBABdgnQBjq7c0PKiIBRCAheFCy2BZKfA0MDgFK1jaJF10Huv3gL9yVn+JJXwVNboGQBuudWV3bUTjwCTgt9EJ+YisMjG6OOtfQvlYjn2b9HFpw3pBRJtiQnIGdcLPOJxjKfW2hWrTg2D9BO+WvJJ5kMikogMjYRbZf78+sbvwlNUaGopaj2WBhczrzBgv+k4dMEWIqN+UcisSEgBp3qlcEvX2nj5RaKTe0RiEt4BxcvX+TKBYRMU94LwSzlDO1FD9sesxYbrot88ejVO/7KHu7qHvooi8DTxBT0WBuMey+SYVPMEruGOKOEFT2TVNYsfl4ta3nj84qpBREgAnIRoA10uciTXSIgEQHBi4J1TYHYcOCrHYBdO4nUvjeTs1HSpEoxbB/kJKltMkYEPkWg08pA/k6stX0c0KpmKVWDEpw3VE2FnJMrLrKzs/nT53eevcXSHnXRxd6aJoMIKJZA/80hOHPzGb52Lo/5naV9QVEOaHLlDTl8JZv6EWAlNrjvGO6ansev32HN1w5oXUvdazz9Zolaq41AhxUBuPo4AYu61saXDZR1HQ4rOUNtMaEGf1iKjYcvk9FksR9fNevKHE/kMzdTA2LN+cCtCXqsCebXBty1krsGu6AIVUBTVRywlDdUBZacIQIqJEAb6CqcVHKJCHxIQPCiYHcf4MZhoPUiwHmoZFC5h1jc6fMHL5Ox7Mt66Fy/rGS2yRAR+C8Cw34Lw/FrTzCnQw30b1xJ1bAE5w1VUyHn5IqLG3GJaPOLP8zNTBA2wwNWeXLTZBABxRK4cPcFXxqSi+fAyc3pShDFziQJN5SAXN8p/9TNvRzJvSSZz9wUl2a2pPLthk4s9WeawPLTt7DUOxoe1UtiQz9HprX+UxwrOUNR0DQilqXY2H3xASbvu4oGFQtjz1DlXZWgkZDRyU2uMiZ3Ep2rQlijdAGM8aiCRrZF6beoTvTYb8RS3mCfFikkAtomQBvo2p5/8l4DBAQvCk5OB4J/BVxGAq0WSEbq4r2X6L4mGJbmpgid0RJ5zekOQsngk6H/JDD3z0hsCozBEDcbTG2r7rvMBOcNiiFVE5ArLhafiMKqM3fQumYprOnjoGrG5Jz6CXAvCnZZHYTwB68xvKktJrW2U7XTcuUNVUNViXOsxIbX8RtYe/Yu2tUpjZW97FVCl9wgAh8nkHOVSJ7cJgif6amo39qs5AyKLfYIsBQbY3aF41BELEa3qIJxLauyB4sU6UWAuwv9y7XBePE2je/HVRawL18YXLVMt6rFUbtsQZhwdzPRR3EEWMobioNHgomAxgjQBrrGJpzc1R4BwYuCC2uB45OA6h2AL3+TDNzU/VewM+QhujtYY0n3upLZJUNE4HME1p+7iwXHbqBj3TJY3lPd92MKzhufg0j/rmgCcsQFt9notsQPD1++4zc2uA0O+hABpRM4df0JBm8Pg5WFGQKnNkcBFVdVkCNvKD0+tKKfhdj4sPIVfcdoJfK07eeHVxas6+MATwVdS8VCztB29LDrPSuxwf19NVx4Gs+SUrFrsDOcbYqyC42U6Uzg3vO32BwYg3O3niPm+dv/6Vc4X264VikOt7821EsWoLvSdQYrc0NW8obMGMg8ESACOhCgDXQdIFETIqBkAoIXBVHHgF09gdL1gCFnJUGQkp6JBgt8kJSSgZ3fOsPFln5wSAKejOhE4MiVWIzcEa6JcmyC84ZOJKmRUgnIERcRD1+j81+ldcOoKolSQ4d0/4NAVlY2PJedA3eqZUobOwx1t1UtIznyhmphqswxFmLj2uMEtF8RAO40LvcdY2lBd9WqLMzInY8QmHP4OrYE3VPcC+ss5AwKKDYJsBIbt+KT0PLnc7AwM+HvP7cwo2qKbEaMcFXcHfdno5/hXPQzBN15gTepGf8zmF0pK/5kOndCvUHFInQtjHDUovdkJW+I7igZIAJEwGACtIFuMEIagAiwTUDwouDJNWBNYyBfUWDSXUmc/PNyLEbtDEfZQnnhP6kZlUKShDoZ0ZVA2P1X6Lo6iI/PwCnNde2myHaC84YivSXRuhKQIy7mHYnExoAYdKpXBr98pe7KD7rOA7VTB4G9YY8wYc9l/g507i507k50NX7kyBtq5KhGn1iIjSUno7DSj64IUWN8kU+fJhB0+zl6bbiAopbmCJnuAVOFlB9mIWdQXLFJgJXY2Bp0D7MPX4dr5WL47RsnNmGRKqMRSM/MAveyN7eZzv3nyuMEZGf///Dcy3lOlYryG+ruVYvBtnh+5MpF5d6NNgEGDsRK3jDQDepOBIiABARoA10CyGSCCMhJQPCiICUB+KH8e+nTYgFzS9HdGLA5BH43n2FU88oY71lNdHtkgAjoQyD29Ts0+sGXv/cqen4bVb/gIThv6AOU2iqOgNRxwZ3SdfnhNOITU7GhryM8apRUHDMSTAQ+RSAtI4uvupPwLh1HR7uiZpmCqoQldd5QJUSVOiV3bHCldpv/dJYvx8pdzcNd0UMfIqAFAtymj8M8bySmZGDvUBc4ViyiCLflzhmKgKRRkazExpDtoTh5PR4TW1XDiGaVNTob2nX75ds0BNx+/veG+tOk1P+BUaZgHnSxt8awprZU8YaBMGElbzCAgiQQASLwGQK0gU4hQgRUTsCgRYFXeSA1ARh+AShhJyqpp0kpcPHyRWZWNnzHu8OmeH5R7dHgREBfAhmZWag64ziysoGQaS1QQsX3WxmUN/QFS+0VQ0DquLhw9wW+XHceBfKY4eIMDyqDqJhIIaG6Euj0awAuP0qA0u6h1dU/rp3UeUMfbdRWXgJyx0bUk0S0XubPV3+4NLMl8lP5dnkDgqxLSmDMrnAciojFEDcbTG1bXVLbQo3JnTOE6qZ+4hNgITa451j287z5FyMPDG+E+uULi+84WWCWAPeS3s34JH4z3f/Wc1yIeQnu5VnuU7KABaa1rc6/uEcn0uWbQhbyhnzek2UiQAT0IUAb6PrQorZEQIEEDFoUrHYF4q8CvfcCVVqK6v0G/7uYf/QG6pcvhAPDG4tqiwYnAkIJuHidRlxCCg6OaIx65QoJHYb5fgblDea9I4FCCUgdFzMOXsVv5x8o7o5OoXypn/YIDP89DMeuPsHsDjUwoHElVQKQOm+oEqJKnZI7NpZ6R2P56VtoWaMk1vd1VCllcosIfJzAkSuxGLkjHDbFLOE7oakiMMmdMxQBSaMiWYiNa48T0H5FAP8yVsSsljAzVefVPBoNMYPdfpeWidNR8Vh84iYevEzmx3OsUBhzOtZErbLqrEJlMDR9BngUBqQlAaXrAXl1e07HQt7Qx0VqSwSIgHwEaANdPvZkmQhIQsCgRcHOnsDNY0C7n4AG34iqt80v/rgRl4h5nWuhj3MFUW3R4ERAKIEvVgUi/MFrrPnaHq1rlRY6DPP9DMobzHtHAoUSkDIuuIoPDReeBlcKb9vAhvzdcfQhAmojMP9IJDYExOAb10qY0b6G2tzj/ZEyb6gSoIqdkjs22q/wx7XHifixe110c7BWMWlyjQj8m0BSSjp/WjY9Mxs+49xRuQT71d/kzhkUR+wSYCE21p27g4XHotDCrgQ29m/ALixSJiuBlPRMbAyIwa++t/EuPRPcleg9G5bHBM9qKGJpLqs2RRvfMwC4vh9oMRtoMk4nV1jIGzoJpUZEgAjIToA20GWfAhJABMQlYNCi4NgkIGQt0Pg7oOX3ogmNjE1E2+X+MDc1Qcj0FiiUjxaOosGmgQ0iMOL3Szh6NQ6z2tfAQFd1nhakDQ+DQkTVnQ36PtGTDFfuru+mEP5BAndlAp3i0BMgNVcEgc2BMfj+z0i0qVUKq792UIRmfUVKmTf01Ubt5SUgZ2y8eJMKh/k+PADut0cJqzzywiDrREAGAtw6i1tvTWljh6HutjIo0M+knDlDP6XUWmoCLMRG/80hOHPzGWa0q45vmthIjYDsKYxAXMI7eB2LwuHLsbxy7sqy8Z7V0NupPP3uFTKXKxyBF7eAr/cBlT10GoGFvKGTUGpEBIiA7ARoA132KSABREBcAgYtCoJ+BU5NB2p1BbptEk3ogqORWO8fo+oHyKLBo4ElJZBzWvDbJpUwvZ06TwtyQA3KG5LOCBmTkoCUcTFxz2XsCXuEr53LY37n2lK6SbaIgGQETl1/gsHbw1DHuiAOj3SVzK6UhqTMG1L6RbYMJyBnbByKeIwxuyJQvXQBHB/TxHBnaAQioEAC24PvYeah63CoUBj7hjVi3gM5cwbzcDQuUO7YSM/MQt3vTyE5LRPHRjdBjTIFND4j5L6uBEJiXmL24et8NU7uU62kFWZ3rIFGtsV0HYLapb4BvLhKQtnAhFtA/hI6MZE7b+gkkhoRASLABAHaQGdiGkgEERCPgEGLgshDwB99AesGwDfvT2kY+8OV6XX5wRfPklL5+we5ewjpQwRYJbDB/y7mH72B9nVK49de9qzKNFiXQXnDYOs0AKsEpIqL1IxMOM73QVJKBnYPdoaTTVFWkZAuImAQgeuxCWi3PABFLc0RNrOlQWOx2lmqvMGq/6Tr0wTkjI0Jey5jb9gjDHGzwdS21WmaiIAmCXAnIF28fPkSwiHTPFDcyoJpDnLmDKbBkDjZX/4Ou/8SXVcHo3C+3Aib0RImJrloVoiAzgQys7KxM+QBfjx1E6+T0/l+7WqXxrR21VG2UF6dx9FswwcXgE2eQP5SwISbOmOg7xSdUVFDIqB5ArSBrvkQIABqJ2DQouDxJWB9M70XIvow9bv5FAM2X+TL9J6f2gLmZib6dKe2REBSAseuxmH475cUc1JDKByD8oZQo9SPeQJSxYVPZDy+2RaKkgUsEDylBT2EYj4ySKBQAgnJ6ag79xTf/cbc1shrbip0KGn6ZWeD32nR4yNV3tBDEjVlhIBcsZGdnQ1nr9OIT0zFb4Oc4FqFTnkxEhIkQwYCHVYE4OrjBCzqWhtfNigvgwLdTcqVM3RXSC3lIiB3bKw4fQs/eUejbe1SWNVbnVfyyDW3WrL7OjkNS72j8dv5+8jKBvLkNsEw98oY4m6DPLkZ/40g50SFrAeOTQCqeAK99+isRO68obNQakgEiIDsBGgDXfYpIAFEQFwCBi0K3r4Alvx1f9OMp4CZ8d9KH7UzHH9ejkX/RhUxp2NNcWHQ6ETAQALhD17hi1VBKFMwD4KmtjBwNHa7G5Q32HWLlBlIQKq4GLMrHIciYjHItRJmtlfvVQkGTgd1VwEBbiOv9pxTeJOaAZ9x7qhcIj/bXt3yAQ6NAKq2Ajou10mrVHlDJzHUiCkCcsVGdHwSPH8+BwszE1ye7UkPpZmKChIjNYHlp2/xGzYe1UtiQz9Hqc3rZU+unKGXSGosCwG5Y6PnuvMIvvsC8zrXQh/nCrIwIKPqIcCVc59z+DouxLzkneJOoc9sXx2tapZCLj1fZFUPlf/w5PAo4NI2oMl4oMUsnV2WO2/oLJQaEgEiIDsB2kCXfQpIABEQl4BBiwLupNHCMkB6MjDqElDU1qhiE1PS0WC+D1IzsvDnSFfUti5o1PFpMCJgbAJPElL4U0umJrkQPb8N/99q/BiUN9QIhHziCUgRF+/SMuEw35u/Q/DgiMaoV64Q0ScCqibQ6udzuBmfhK0DG8K9anG2fQ1cDnjPBGp0Bnps1UmrFHlDJyHUiDkCcsVGznU8blWLY9vAhsxxIUFEQEoCkbGJaLvcnz/pGD7Tk+lKKHLlDCnng2wJIyBnbKSkZ6LO96eQlpGF0+PdYVuc8ZchhSGmXhIT4F6yPXo1DguO3kBcQgpvvXHlopjdoSaqlrSSWA3j5ta6A3ERQPetQM3OOouVM2/oLJIaEgEiwAQB2kBnYhpIBBEQj4DBi4JfGwLPbwJ9DgK2zYwqdPfFB5i87yqqlMiPU2Pd6G1Ko9KlwcQgwN1PVW3GcWRkZfNXDpQqmEcMM7KPaXDekN0DEiAGASni4uiVOIzYcQnliuTFuYnN6HtBjImkMZkiMHDLRfhGPcXCL2qjlxPb5XNxYBhweQfQdBrQdLJOHKXIGzoJoUbMEZArNvptCsHZ6GeY0a46vmnyV6Ut5uiQICIgDQFuk8Z1kR8ev36HdX0c4FmzlDSGBViRK2cIkEpdJCYgZ2wE3X6OXhsu8FdPcc8H6ISwxJOvcnPJaRlYfeYO1p67y7+kwR3g6OtSAd95VEXBvLlV7r0O7mWmAwvLApmpwOhwoIju6zo584YOnlETIkAEGCJAG+gMTQZJIQJiEDB4UfBbN+C2N9BxBWDf16gSe6wJRsi9l5jc2g7Dmhr3dLtRhdJgROADAo1/8OUfMu0f3gj25Qurko3BeUOVVMgpKeJi6PYwnLj+BMOb2mJSazuCTgRUT2DmwWvYfv4+RjSzxcRWjMd8zgmPHtuBGh11mhsp8oZOQqgRcwTkiA3upGC9uaeQkp6Fk9+5oVopOsXFXGCQIMkJcKWCtwTdQ3cHayzpXldy+7oalCNn6KqN2slLQM7Y+PHkTfzqdxtf1C+Ln7+sJy8Isq5aAg9eJGP+0UicioznfSyW3xxT21RHF/uy2n5pI/46sLoRYG4FTHkAmJjoHANy5g2dRVJDIkAEmCBAG+hMTAOJ0BKBVatWYcmSJYiLi0PNmjWxbNkyNGnS5JMIXr9+jenTp2P//v149eoVKlWqhJ9++glt27bVCZvBi4IjY4HQTYDbJKD5dJ1s6tKIWwC6LfEDd4VP8BT1nuTVhQW1URaBrquDEHb/FVb2ske7OqWVJV5HtQbnDR3tUDNlERA7LpJS0uEw34d/u/74mCaoXrqAsgCRWiIggMCas3fww/EodK5XBsu+qi9gBIm6ZGW9v9Yn4x0wMgwoVlknw2LnDZ1EUCMmCcgRG4G3n6P3hgsoYWWBC9PopCCTgUGiJCeQc4K2qKU5QqZ7MHtFlRw5Q/LJUIlBxT3zMoB7l1WBuPTgNRZ3q4MejuUMGIm6EoHPEzgX/Qxz/ryOu8/e8o0dKxTG3E61UKOMRn83R+wEDg4FyjcCBh7/PMAPWtB3il64qDER0DQB2kDX9PST81IT2L17N/r06QPuB0Xjxo2xdu1abNiwAZGRkShf/t9lO9PS0vh2JUqUwLRp02BtbY2HDx/CysoKdevq9na4wYsC/6XA6e+BOl8BXdYaDdkvPrfws080mlQphu2DnIw2Lg1EBMQmMHLHJRy5Eqfq0p8G5w2xJ4HGl4WA2HGx/9IjjPvjMiqXyA9vutZDljkmo9IT+PNyLEbtDEeDioWxZ2gj6QXoavHlXWB5fcDUApgeB5iY6tRT7LyhkwhqxCQBOWLD6/gNrD17F13trfFTD91+SzEJj0QRASMSSM/MgsM8bySmZGDvUBc4VixixNGNN5QcOcN46rUzkiKfeQmcnjepGaj7/Slw17wFTG4G68L5BI5E3YiA7gS4l803BcZg+elbSE7LhEkuoK9LRYxtqcGy7iemAedXAk5DgTaLdIcIgL5T9MJFjYmApgnQBrqmp5+cl5qAk5MT7O3tsXr16r9NV69eHZ07d4aXl9e/5KxZs4Y/rR4VFYXcuYXdb2PwouDqXmDfIKBCY2DAMaMg4+5aa/rjGdx/kYyfv6yLL+pbG2VcGoQISEFg4bEbWHfuLga5VsLM9jWkMCm5DYPzhuSKtWtQyhMeYsfFgM0h8Lv5DN95VOHvdaMPEdACgUsPXqHLqiCUKZgHQVNbsOty1FFgVy+gVB1gqL/OOsXOGzoLoYbMEZAjNtr+4o/IuET88lU9dKpXljkmJIgIyEVgzK5wHIqIxRA3G0xtW10uGf9pV46cwSQIxkUp8pmXQKZ+UU8xYMtFVCiaD2cnNhM4CnUjAsIIxCW8w/yjN3D0Shw/AFfWfQpX1r1+WZhwu+pa+GxpD9zzBzqtBOp/rZfH9J2iFy5qTAQ0TYA20DU9/eS8lAS40+T58uXDnj178MUXX/xtesyYMYiIiMDZs2f/JYcr016kSBG+36FDh1C8eHH06tULkydPhqnpx0/+pKamgvtPzodbFJQrVw4JCQkoUEBAWZ+HIcDGlkDB8sDYq0ZBFnrvJbqtCYaluSkuzvBAPnMzo4xLgxABKQhsCojB3CORaFu7FFb1dpDCpOQ26MeE5MgFGZT6hIeYcfHqbRoaLPBBRlY2fMa586fQ6UMEtEDgaWIKGi48zZ8eiZ7fBmamut/dJymfc0sA3/l6VyQSM29I6r8GjEn5QhaHU+rYeJaUyn/PcJ/QGR4olt9CA7NKLhIB3QgcuRKLkTvCYVPMEr4TmurWSeJWUucMid1ThTnFPvMSSH/B0Uis949Bz4bl4NWljsBRqBsRMIxAwK3nmH34Gu5orax7djawqAKQkgAM8QdK6/c3SN8phsUd9SYCWiJAG+hamm3yVVYCsbGxKFu2LAIDA9Go0f+X6Fy4cCG2bt2Kmzdv/kufnZ0d7t27h969e2P48OG4desWRowYAW7TfdasWR/1Z86cOfj+++//9W+CN9AT44CldkAuU2DGU8DU8M3uqfuvYmfIA3RzsMaP3al8oqyBScb1JnDiWhyG/nYJ9csXwoHhjfXur4QO9GNCCbMESH3CQ8y44L4TuO+GGqUL4NiYJsqYAFJJBIxAICsrG3YzTyAtM4vt8p97BwLX9gEecwDXsTp7Lmbe0FkENfwsAalfyOIESR0bB8Mf47vdEahZpgCOjqbvmc8GBTXQFIGklHTYz/NGemY2To93h21x9l5klDpnaCoAjOSsYp95CfS/3XJ/XI9NxPKe9dGxbhmBo1A3ImA4AU2WdX91H/ilDmCSG5gWC5iZ6wWSvlP0wkWNiYCmCdAGuqann5yXkkDOj4mgoCC4uLj8bXrBggXYvn07X6b9n5+qVasiJSUFMTExf584X7p0KV/WPS7ufZmef36MfgI9KwtYUBLITAO+uwoU+vdd7fpwTEnP5E9/JKVkYMe3TmhkW0yf7tSWCMhO4PLD1+i0MhClCuTB+WkMl9s1gBT9mDAAnkRdpTrh8aE7YsZFr/XnEXTnBSa3tsOwprYSUSQzRIANAu5L/PhrbXYPdoaTTVE2RP1TxSoX4Gkk0OsPoGornTWKmTd0FkENP0tA6heyOEFSx8a4PyKw/9JjDHW3xZQ2dp9lQg2IgNYI9N0UgnPRz/i/D+7vhLWP1DmDNf+VoEexz7wEwOWqZ9nP9wZ3CPbidA8Ut6KqJgIwUhcjE9BUWfcbfwK7vwZK1QaGBuhNkr5T9EZGHYiAZgnQBrpmp54cl5qAkM0Od3d3/u5zH5/35Qa5z/Hjx8GVduc2ys3NP/+GnVEWBcvrAy/vAv2PARUNO3Hrf+sZ+mwMQemCeRA4ubl27uaROuDInmgEFFNu1wACRskbBtinrp8nIMUJD6O/kPUJt7i/KSev0/wDKP9JzVCuSL7PA6AWREBFBHJeIFnaoy662Fuz51lmOrCgNJCVrvfLlPR9wt50/lORkN8oTFwzpQfa7Oxs/qoEroz7jm+c0KgyvcCrBz5qqhEC24PvYeah63CoUBj7hv1/xTxW3KfvE1Zm4tM6hHyfMPPMS0+83Msm3EsnNsUt4TuezWsP9HSJmquIQODt55h16P/LunN5fW6nmqhZpqB6vPRdAJxbDNT7Gui8Um+/6DtFb2TUgQholgBtoGt26slxOQhwpzscHBzA3TGY86lRowY6deoELy+vf0maNm0aduzYgbt378LE5P2dmL/88gsWLVoEbvNEl49RFgVbOwIxZ4HOa4B6PXUx+8k2v52/jxkHr8Gjekls6Odo0FjUmQjIQYArt1tt5nG+xGHQlOYoUyivHDJEtWmUvCGqQhpcihMeRr8S5BPTtiUwBnP+jFT1tQgUsUTgvwhM3HMZe8IeYXzLqhjVogp7sJ5GAaucAPP8wNRHQK5cOmuk7xOdUcnWUIoXsjjnpPpO+RjIqCeJaL3MH3lym+DybE9YmJnKxpsMEwFWCXAnF128fPkUHzKNvRO19H3CauT8ry7FPvPSE2/OCyf0XEtPcNRcMgJcWffNgTH45fQtJKdlwiQX0Me5AsZ5VkPBvLkl0yGaoR1fAdHHgTaLAachepuh7xS9kVEHIqBZArSBrtmpJ8flIJBzv+CaNWv4Mu7r1q3D+vXrcf36dVSoUAF9+/bl70nP2Ux/+PAhuA32/v37Y9SoUfwd6AMHDsTo0aMxffp0nVwwyqLg0Agg/Deg2XTAfZJOdj/VaPGJKKw6cwf9XCrg+061DBqLOhMBuQi4LvLFo1fvsG+YCxwqFJFLhmh2jZI3RFNHA3MEpDjhIdUJ9G6rgxB6/xVmta+Bga6VaIKJgOYILPOJxjKfW/iqQTn80LUOe/5f2w/sHQBYNwC++f+qSLoIpe8TXSjJ20aKF7I4D6X6TvkYzfXn7mLBsRtoWq04tgxoKC9wsk4EGCbQYUUArj5OwKKutfFlA8OubjO2m/R9Ymyi4oyn2GdeeuKYfyQSGwJiMMi1Ema2r6Fnb2pOBKQjwL0cteDoDRy58v4a0KKW5vxVHV3trZVdEXRpDSDxMTDgOFBB/6op9J0iXQySJSKgdAK0ga70GST9iiPAnT5fvHgxf4d5rVq18PPPP8PNzY33o2nTpqhYsSK2bNnyt1/BwcEYO3YsIiIi+M31QYMGYfLkyX/fif45AEZZFJxdDPgtAOr3ATr9+jmT//nvY3aF41BELKa1tcNgN/buVjPIOeqsGQLd1wTh4r1XWNGzPjrULaM6v42SN1RHhT2HpD7hIUZcPH79Do1/eH/a6fzUFihZIA97oEkRERCZwJ7Qh5i49wqaVCmG7YOcRLYmYPicEon2fYGOK/QaQIy8oZcAavxZAlK8kPUxEVLGRp+NF+B/6zm/ycFtdtCHCBCBjxNYfvoWlnpHM1ktTsqcQfFhGAFFPvPS0+Vvt4XCOzKeL4vd16Winr2pORGQngBX1n324eu4/fQNb9yzRkms6KM1igAAIABJREFU7eOAXHpUlpJe9Scsvn0BLLF5/49THgJ5Cugtjb5T9EZGHYiAZgnQBrpmp54c1woBoywKInYCB4cCldyBfocNQpdz0nBlL3u0q1PaoLGoMxGQi8DoneE4fDkW09tWx7dufy3c5RIjgl2j5A0RdNGQ/0tA6hMeYsTFunN3sPBYFJxtimDXYBeaYiKgSQJBd56j1/oLsClmCd8JDN6juas3EHUEaOUFuAzXa47EyBt6CaDGOhGQ+oUsTpRUsZGSnom6359CakYWvMe6oUpJK52YUCMioEUCkbGJaLv8/XUH4TM9kdecnesOpMoZWpx3pfssR2y0XnYOUU+SsGVAAzStVkLpCEm/RgjklHX/yTsa3P+e17kWX9ZdcZ87fsD2zkARG2B0uCD5cuQNQUKpExEgArIToA102aeABBABcQkYZVFwLwDY0s6gxUmOly5epxGXkIKDIxqjXrlC4jpPoxMBkQh4Hb+BtWfvYkDjipjdoaZIVuQb1ih5Qz75mrIs5QkPMeIip1Togi9qobeTAn+8ayrayFmxCDx4kQy3JX6wMDNB1LzW7J0EWW4PvLwD9DkI2DbTC4MYeUMvAdRYJwJSv5DFiZIqNvxvPUOfjSEoVSAPgqc2Z+/vS6cZokZEQBoC2dnZcF3kB65C0Lo+DvCsWUoawzpYkSpn6CCFmjBGQOrY4P5Oas4+yd8r7TveHTbF8zNGhOQQgf8msCkgBnOPRCKfuSlOjHFD+aL5lIUs8BfAexZQoxPQY5sg7VLnDUEiqRMRIAJMEKANdCamgUQQAfEIGGVR8PoBsKw2YGoOTI8HTEwECU7PzEK1GceRlQ2ETG+BElZUqlcQSOokO4EtgTGY82ckWtcshTV9HGTXY2wBRskbxhZF48lOwNhxEfP8LZr9eAamJrlwcboHiliay+4jCSACchDgToBUm3kc2dng/xaKW1nIIePjNtPfAQu4ikHZwPhowKqkXtqMnTf0Mk6N9SIg5QtZnDCpYmPhsRtYd+4uujtYY0n3unoxocZEQIsE5hy+ji1B95j7m5EqZ2hxzpXus9Sx8TQpBQ0XnIZJLiBqXhuYmwl7PqZ07qRfuQSysrLRc/15XIh5iYaVimDXt87Kug997yDg2l6g+UzAbYKgiZA6bwgSSZ2IABFgggBtoDMxDSSCCIhHwCiLgswMYH4JIDsTGBcFFBBWev3hy2Q0WezH/8CImttaWQs08aaIRlYggZPXn2DI9jDULVcIh0Y0ZtuDqGNA8gugkhtQWLcTvkbJG2xTIXUCCBg7LlacvgWufJx71eLYOrChAEXUhQioh4DzwtN4kshghZ7YCGCdO5C3CDDpLqDnPYnGzhvqmXHyRKrYyCmzu7xnfXSsW4bAEwEi8BkCQbefo9eGCyhqaY6Q6R78i44sfKTKGSz4Shr0IyB1bITee4lua4JRtlBeBE5prp9Yak0EGCHAVcBq/cs5vpLCzPY1MMi1EiPKdJDxa0Pg+U2g916gSksdOvy7idR5Q5BI6kQEiAATBGgDnYlpIBFEQDwCRlsU/FwLSHgIDPIGygnb6Dh/9wW+WncelYpZwo/FOz7FmwYaWWUErj5KQIdfA1DCyoJ/sMT0Z1tn4K4f0H4Z4DhAJ6lGyxs6WaNGSiFg7Ljw/PksouPf4MfuddHNwVopGEgnERCFQNfVQQi7/wore9mjXR1hLyqKIuzyLuDAEKCCKzDgqN4mjJ039BZAHZglIEVsPE1MQcOFp/n3PsJmtKRKJ8xGAwljiQBXNc5hnjcSUzKwd6gLHCsWYUKeFDmDCUdJhN4EpI6NfWGPMH7PZTSyLYod3zrrrZc6EAFWCPx2/j5mHLzGXyN1bEwT2CrhOoK0ZMCrLJCdBYy/CVgJu2pE6rzBypyTDiJABPQnQBvo+jOjHkRAUQSMtijY3Ba4Hwh03QjU7iaIQc4PjcaVi+L3b+iHhiCI1IkJAs/fpMJxvg//QPYm62XbfqwKvInX6+UXo+UNJmaLRBiLgDHj4uaTJLRadg7mpiYInemBAnlyG0smjUMEFElg9M5wHL4ci2lt7TDYzZYdH7j7Bbl7Bht8C7T7UW9dxswbehunDkwTkCI29l96hHF/XEbtsgXx5yhXpnmQOCLAEoExu8JxKCIWQ9xsMLVtdSakSZEzmHCUROhNQOrYWOodjeWnb6Fnw3Lw6lJHb73UgQiwQiA7Oxt9N4XA/9Zz1C9fCHuGuMDMlPErCR5eBDZ6AJYlgIm3BKOUOm8IFkodiQARkJ0AbaDLPgUkgAiIS8Boi4L9Q4Aru4AWs4Em4wSJzinX28PRGou70R2EgiBSJyYIcHdG2c08gbTMLARMbgbrwvmY0PUvEW9fAEts3v/fUx8BFlY66TRa3tDJGjVSCgFjxsWPJ2/iV7/baFmjJNb3dVQKAtJJBEQjsOhEFFafuYN+LhXwfadaotnRe+DfuwO3TgHtfgIafKN3d2PmDb2NUwemCUgRG2N3R+BA+GMMb2qLSa3tmOZB4ogASwSOXInFyB3hsClmCV9GKsdJkTNYmgPSojsBqWMj57tlcms7DGvK0EuPuiOjlkTgbwKxr9+h1c/nkJSagUmtq2F408ps07m4ETg6DqjsAXy9T7BWqfOGYKHUkQgQAdkJ0Aa67FNAAoiAuASMtijwnQ+cWwI4DgTa/yxI9JR9V7Dr4kOM9aiKMR5VBI1BnYgAKwTcFvvhwctk7BnqggaMlDb8F5sYf2Bre6BQeeC7qzqjM1re0NkiNVQCAWPFBfeme9Mfz+D+i2TQnbRKmHnSKAWBnBKKHtVLYEO/BlKY1M1GzhU+A44DFRrp1ueDVsbKG3obpg7MExA7NriXHbny7VzVoJ3fOsPFtijzTEggEWCFQFJKOuzneSM9Mxunx7szUdZX7JzBCnvSoT8BqWOjy6pAXHrwmr1rd/RHRz2IAE9gT+hDTNx7ha8Ox1XsqVZKt4MXsuD7cwwQtgVwHQt4zBEsQeq8IVgodSQCREB2ArSBLvsUkAAiIC4Boy0KLm0DDo8CKrcEvt4rSHSfjRf40kB0360gfNSJMQJfrg3GhZiX+OWreuhUryxj6v6Sc2EtcHwSULUN0GuXzhqNljd0tkgNlUDAWHFx5dFrdPw1EHlzmyJspgfymZspwX3SSAREJeB38ykGbL6I6qUL4PiYJqLa0nnwlETgh3Lvm0+KAfLpfw+usfKGzpqpoWIIiB0bkbGJaLvcH/nMTRE+qyUszEwVw4aEEgEWCHBlfc9FP8OUNnYY6i7/KVuxcwYLzEmDMAJSx4bjfG88f5OGI6NcUatsQWGiqRcRYIgA94L7N1tDcTrqKWqWKYCDIxojN6ul3Nc1A2IvAd02A7W6CKYodd4QLJQ6EgEiIDsB2kCXfQpIABEQl4DRFgV3/IDtnYHidsCIC4JEN//pDO4+e4sd3zqhkW0xQWNQJyLACoHvdoXjYEQspraxwxAGHip9lMvh0cClrUCT8UCLWTqjM1re0NkiNVQCAWPFxYKjkVjvH4P2dUrj1172SnCdNBIB0Qncik9Cy5/PoUAeM1yZ00p0ezoZeBgCbGwJWJUGxkfp1OWfjYyVNwQZp05MExA7NtaevQOv41FoblcCm/ozVNWB6VkhcUTg/wlsD76HmYeuw6FCYewbpn8FEmOzFDtnGFsvjScdASlj401qBmrNPsk7d2WOJwrkyS2do2SJCIhI4GliCv9bJOFdOr7zqILvPKqKaE3g0JkZgFdZICMFGHUJKCr85S4p84ZAb6kbESACjBCgDXRGJoJkEAGxCBhtUfDiDrDCHsidD5gWC+TKpZdk7o3G6rNOICU9C+cmNkP5oozeGa2XV9RYywRy7qvt36gi5nSsySaKDR7Ao4tA141A7W46azRa3tDZIjVUAgFjxAVXUrfxIl/EJaRgbR8HtKpZSgmuk0YiIDqBt6kZqPnXA9mrczxhxcID2bCtwJ+jAdvmQJ8DghgYI28IMkydmCcgdmx8veECAm4/x+wONTCgcSXmeZBAIsAagbiEd3Dx8uV/9odM80BxKwtZJYqdM2R1jowbREDK2MipblI4X26Ez/I0SDd1JgKsETgU8RhjdkXAzCQXfwqduQoLT28Aq5wB8/zAlIeAiYlghFLmDcEiqSMRIAJMEKANdCamgUQQAfEIGG1RkJEKzC/xXujEu4ClfvcIcvcPOs734X+A35zXBuZmwhc64tGikYmA7gRyTmV41iiJdX0dde8oVcusrPeld9PeAMPPAyWq62zZaHlDZ4vUUAkEjBEXofdeotuaYFhZmOHiDA/kyU0ldZUw96RRGgL15p7C6+R0nPiuCexKFZDG6H9ZOT4FuLAacBkJtFogSI8x8oYgw9SJeQJixsa7tEzUnXsKaRlZ8Bnnjsol8jPPgwQSARYJdFgRgKuPE7C4ax30aPDXlR4yCRUzZ8jkEpk1EgEpY+PEtTgM/e0S6pYrhEMjGhvJAxqGCLBBgDv4NPz3Szh+7QmqlbTC4VGN2boC5/Ju4MBgoJwzMOh9JQihHynzhlCN1I8IEAE2CNAGOhvzQCqIgGgEjLoo+LEa8OYJMPgMUKa+XpovP3yNTisDUapAHpyf1kKvvtSYCLBIwDsyHt9uC0Ud64I4PNKVPYmv7gG/1AVMcgPT4wBT3cvLGTVvsEeGFAkkYIy4mH3oGrYG30dXe2v81KOuQCXUjQiok0C75f64HpuIjf0c0aJ6Sfmd3NoRiDkLdFoJ1P9akB5j5A1BhqkT8wTEjI2z0c/Qb1MIyhTMg8ApzZFLz8pZzMMjgURAIgLLT9/CUu9oeFQviQ395H1hWMycIRFOMiMSASljI+d6kI51y2B5T/2eiYnkPg1LBIxK4MWbVHj+fA4v3qZheFNbTGptZ9TxDRrs5HQg+Feg4WCg7RKDhpIybxgklDoTASIgOwHaQJd9CkgAERCXgFEXBTnloHtsA2p00kv48atxGPb7JdiXL4T9w+lNXb3gUWMmCVx7nID2KwJQLL8FQmd4sKcx6hiwqydQshYwLFAvfUbNG3pZpsYsEzA0LjIys+DsdRrP36Rhy4AGaFrtr6omLDtN2oiAhAQGbwvFqch4zO1UE31dKkpo+ROmllQB3j4FvvEFrB0E6TE0bwgySp0UQUDM2Jh/JBIbAmLwpWM5LOpWRxE8SCQRYJFATrnqPLlNED7TE3nN5ascJGbOYJE9adKdgJSxMf3AVfx+4QFGNa+M8Z7VdBdJLYmAggicuPYEQ38Lg0kuYN+wRqhfvjAb6rd2AGLOAR1XAPZ9DdIkZd4wSCh1JgJEQHYCtIEu+xSQACIgLgGjLgr2DgSu7QM8FwCNRuolfIP/Xcw/egMd6pbBCnpTVy921JhNAi/fpsF+njcv7ub81myVtuJEnVsC+M4HavcAuq7XC6JR84ZelqkxywQMjYvA28/Re8MFcHcGhkz3QG5TusqD5fkmbdIT+P7P69gceA9D3Gwwta3u126IovTtc2CJ7fuhpz4GLISVwDY0b4jiGw3KBAExY6PVz+dwMz4Jv/aqj/Z1yjDhL4kgAkokwJXzdV3kh8ev32FdHwd41iwlmxti5gzZnCLDRiEgZWz02XgB/reeY3G3OujhKO+1BkaBR4MQgU8Q+G5XOA5GxMKmuCWOjW4i/9Vr2dnA4krAu1fA4LNAmXoGzZ2UecMgodSZCBAB2QnQBrrsU0ACiIC4BIy6KPCeDQQuA5yGAm0W6SV8zuHr2BJ0D0PdbTGlDUMlgPTyghoTgf8nwD1Qspt5AqkZWTg3sRnKF83HFp49A4Dr+wGPOYDrWL20GTVv6GWZGrNMwNC4mLLvCnZdfIheTuWx8IvaLLtK2oiALARyXjZsV6c0Vvayl0XD30Zj/IGt7YFCFYDvrgjWYmjeEGyYOjJPQKzYiE9MgdPC0+Cqtl+a0RKFLc2ZZ0ECiQDLBHJ+x3d3sMaS7vJdvyNWzmCZPWnTjYCUseG22A8PXiZj92BnONkU1U0gtSICCiSQkJyOlj+fxdOkVAxyrYSZ7WvI68Xrh8CyWoCJGTAtFjCzMEiPlHnDIKHUmQgQAdkJ0Aa67FNAAoiAuASMuii4uAE4Oh6o1hbouVMv4dxd0dyd0fM61UQfFsqS6qWeGhOBjxNousQP914w+gN6pRPwLArotQeo6qnXFBo1b+hlmRqzTMCQuEjLyEKDBT5IeJeOnd86w8WWHjixPNekTR4CJ67FYehvl1CvXCEcHCHzdTcX1gHHJwJV2wC9dgkGYkjeEGyUOiqCgFixsTfsESbsuYy61gVxaKSrIliQSCLAMoGg28/Ra8MFFLU05ysImXI1fWX4iJUzZHCFTBqZgN6xcXQC8PA80PZHoLyzzmrSM7P4F+gzs7JxfmoLlCqYR+e+1JAIKJGAX9RTDNhykX8pcfdgFzSsVEQ+N6KOArt6Cbqi8GOi9c4b8nlOlokAEZCZAG2gyzwBZJ4IiE3AqIuC6FPAju5AydrAsAC9pLdb7o/rsYnY1N8Rze1K6tWXGhMBVgn0XHcewXdfYNmX9dC5fll2ZGakAgtKA9mZwNjrQEFrvbQZNW/oZZkas0zAkLjwjYrHwC2hKGFlgeCpLWR7+MoyX9JGBK4+SkCHXwNQ3MoCF6d7yAvkyFggdBPgOg7wmC1YiyF5Q7BR6qgIAmLFxphd4TgUEYuRzSpjQiu6n1YRwUAimSbAbRo6zPNGYkoG9g51gWNFeTZQxMoZTMMncToR0Ds2tnUC7p4BOq8G6vXSyQbX6P6Lt3BfcgYWZia4Mbc1TGR6mURnwdSQCBiBwKS9l/FH6COUL5IPx8c0gaWFmRFGFTDEmR+AM15A3V7AF6sFDPC/XfTOGwZbpAGIABFQKgHaQFfqzJFuIqAjAaMuCp5GAaucgDwFgSkPdFTwvlm9uafwOjkdJ79zQ7VSVnr1pcZEgFUC43ZHYH/4Y0xqXQ3Dm1ZmR+aTq8AaV8CC+1u9D/6VYT0+Rs0betilpmwTMCQuxu6OwIHwx+jfqCLmdKzJtqOkjgjIRODl2zTYz/PmrUfNay3vXYObWgMPgoEuG4A63QUTMSRvCDZKHRVBQIzYyMrKhuMCH3B/S1ReVxFhQCIVQiDnxRQ5r2MTI2coBD/J/AwBvWPj0EggfDvQdBrQdLLOfM9FP0PfTSGoUiI/vMe569yPGhIBJRNISklH62X+ePz6Hfo4V8C8zrXkcWdnL+DmUaD1D4DzMIM16J03DLZIAxABIqBUArSBrtSZI92SE/D398fatWtx584d7N27F2XLlsX27dtRqVIluLqyWx7QqIuCtLfAwjLv2XMb6NxGug6ft6kZqDn7JN/y6hxPWOXJrUMvakIE2Cew5GQUVvrdQV+XCpjbSaYfEh/DdHk3cGAwUN4FGHhCb5BGzRt6W1d/B619n6SkZ/Inl96mZWLfsEZwqFBY/ZNMHhIBAQSys7NRY9ZJvEvPhN+EpqhUzFLAKEbokp0NLKoApCQAQwOAUrUFD0rfJ4LR6dxRa98p/wXm2uMEtF8RAEtzU4TP8oS5mYnOHKkhESAC/8feWYBXcaxh+I3g7u4W3F0TIECLQ9HilAq0uLu7leIU11K0uDsBAgR3CRbcCRa5zx4ItymRI7ubI/8+z30u9zLzzf+/s8y3Z2dnJnwCy4/eotfqM5TPnowFrYtFCSrxE+2xO4yf7BkNe0ZAwWZQ6w+jwS7y8qX/2rNUypmcOS2KGl1PCgoBWydw8Opjms45YkhjSdvilM6aVP+UJuaBF7eh5UbIaPk7ePEU/btQWhQCtkpAJtBtteckbl0JrFq1imbNmtG0aVPDpPn58+fJnDkz06ZNY8OGDWzatEnXeExpTPWHgtGZ4O1T+OkgpDRuwvDyg1d4TtxH/JiunB5UxZTwpawQsGoCi7186Wf4EZ2COS2KWE+s2wfAwclQpA1Un2ByXKqPGyZHYL8VHNFPNp/x4+clJ0iTMBYHerrjZOKOCPZ7N0hmQuBrApUm7OXqw9csblOcMtmi4OWUEtLLezAhJzi5QJ97EM38Mz7FT7S9yx3RUyIiOm3PVcZsuSSTG9redqLugAS8rj+h0SwvMiSJzd7u7lFCQPxEW+wO5Sc+S2Htz5C5AjRfZzTYEZsuMGvfdVqXzsSAGrmMricFhYA9EFA+HlE+IlF+02/pVFbfhVH+T2FMpk8YTVjMFRF38RR7uCslByGgDwGZQNeHs7Ri4wQKFixI586dad68OfHixePUqVOGCXQfHx+qVq3K/fv3rTZD1R8KZpYHPx9ovBxyVDMq792XHtJq3jFypopvODNHLiFgLwR2XnhAmwXe5E4dn42/WdG9vbg+XN0O346Hom1Nxq36uGFyBPZbwRH95Jclx9l05j4/ls9M72o57bdzJTMhoAKBFnOPsvfyI0bXy0vDoulVUDRD4uoOWFwPkmaHDsfMEPh/FfETi/BFWtkRPSUiKI1neXH4+hMG18xNi1IZI+UnBYSAEDCOwP0X7ygxcicuzk6GI0aiuei/u4P4iXF9ZW4ph/KTG/thQXVInAV+O2E0sh8XebP13AMG1chFy9KfJ/OMri0FhYBtE1B2Fq02eT+3nvrTsEg6RtfPp19C1/fCwpqQKCN0PKVKu+IpqmAUESHgEARkAt0hulmStJRA7NixDavOM2bMGGoC/fr16+TKlYt3795Z2oRm9VV/KFjxPVz4B6qNgeI/GhW31a7SNSp6KSQEwidw/t5Lvvl9P0niROd4/8rWg2pCLnh5F1ptgQwlTY5L9XHD5Ajst4Kj+cnr9wGG7dvfBwSx4dcy5Elj3NEf9nsHSGZCIGICfdacYemRW/zmkZUunjmiBtehKbCtH+SqBQ0WWhSD+IlF+CKt7GieEhEQ/w8B5B+8jY+BwezqWp7MyeJGyk8KCAEhYBwB5YiRnAO28O5jkHpHjAQFgbPxE/HiJ8b1lbmlHMpPnt6A3wuASwzo9wCM3B2r6qR9XLz/inkti+Lultxc1FJPCNgsgaM3ntJw1mGU057mtiyCh1sKfXIJ+W2SswY0XKxKm+IpqmAUESHgEARkAt0hulmStJRAlixZDOefV6pUKdQE+sKFCxk1apRhct1aL9UfCrb0Aa+pULIDVBluVNqjt1xk+p5rtCyVkUE1cxtVRwoJAVsg8Nz/AwWGbDeEqqzGiBnNJerDfvsMRn9eddXTF2IlNDkm1ccNkyOw3wqO5idrT96l0wofMieNw86u5WX7dvu9tSUzlQhM3X2VsVsvUbdQGiY0KKCSqokya9uDz2Ko0Bsq9DKxcuji4icW4Yu0sqN5SkRAdl98SKv5x+S4kEjvGikgBMwj8GXysFVR3HNYOHmozL5MzA3xUn76UCtB2kiDEj+JFJFFBRzKTwI+wDDlHg6GblcgbuT3s/IRSe6BW/H/EGj4TZNFPtKy6H6TyrZLYOiG8/x54AbJ48VgW+dyJIwdXftkVreD0yvAvR+U765Ke+IpqmAUESHgEARkAt0hulmStJTAmDFjWLBgAXPnzqVy5cqGM899fX0N27oPGDCADh06WNqEZvVVfyjwmgFbepq0Kqnj8pOs87lHn2/caFcui2a5irAQ0JvAv1dj7OlWgYxJ4+gdwtft+R6CedUgflrocs6seFQfN8yKwj4rOZqftF1wjB0XHvJbxWx0qZzdPjtVshICKhJY53OXjst9KJE5Mcvbmb6DiCqhzHKHeyc+TWooq9AtuMRPLIBnRFVH85SIkAz+5xzzDt6kcbF0jKyr47aiRvSTFBEC9kDgp0XH2XLuPgNr5KKVpdtXP78Fk/KCsyv0uQeuMSJFJH4SKSKLCjicn4x3g1d+8MMuSFM4UnaPXr2n6PAdhsXqyofzMVyt4MP5SKOWAkJAfQLvPgYadmG8/ugNtQukZlKjguo38l/FqSXg0QVo8hdkr6JKe+IpqmAUESHgEARkAt0hulmSVINA3759mThx4pft2mPEiEG3bt0YOnSoGvKaaaj+UHBxIyxvAqkLQrs9RsVdf/ohvH2fMbVJIb7Nl8qoOlJICNgKAY9xe7j++A3LfihBySxJoj7so7NhUzfI5glNV5oVj+rjhllR2G8lR/GTF/4fKTJ8u2E73e2dy5EtRTz77VTJTAioRODYzad8N+Mw6RLHYn8PD5VUTZBRttQdmQY++kMHb0iazYTKXxcVP7EIn1GVHcVTIoNRacJerj58zbSmhfgmr/zeiIyX/L0QMJXAyM0XmLn3ujq7yp1fD381g5R54acDRoUifmIUJosKOZSfzKkMd47Cdwsgd+1IuR33fUq96YcNu5wc7BUFz2eRRigFhIB+BE7eeka96YcICoalbYtTKmtS7Rr/+BZGpIHgQOhyAeKnVqUt8RRVMIqIEHAIAjKB7hDdLEmqRcDf39+wXXtQUJDh7PO4ca3/bD3VHwr8TsPMshA7KfS4ZhTakiN34vfiHWvbl6ZAOtO3kzaqESkkBKKIQNM5Xhy8+oQJDfJTt1Dk2w9qHuaGzuA9F0p3gsqDzWpO9XHDrCjsu5Ij+Mlfx27TY9Vp3FLGY0uncvbdoZKdEFCJwL3nbyk1aheuzk5cGlYNF2cnlZSNlPlyLmh06OMHLq5GVgy7mPiJRfiMruwInhIRjJB/N8o/lxP9K+uznajRvSMFhYB9EFh+9Ba9Vp+hfPZkLGhdzLKkdg6B/eOhYDOo9YdRWuInRmGyuJDD+MnKVnBuNXgOg1K/Rsptzck7dF5xipKZk7CsXYlIy0sBIWDvBLqvPMXK43doUyYT/avn0i7du8dhtsend9Ddr2LYBkKFSzxFBYgiIQQchIBMoDtIR0ualhF48eIFgYGBJE6cOJTQ06dPcXV1JX78+JY1oGFt1R8K3j6H0Rk+Ray8WI0eO8LoPwYGkaPfZsOXiUf7ViR5vJgaZivSQkB/Al3/OsWqE3foXiUH7d2z6h/Af1v8swrc9oK6syFfA7PiUX3cMCsK+6zkSH7AxHY4AAAgAElEQVSy2MuXyTuvGFYqWcW/Dfu8pSQrOyMQGBRseG4KCArmcG8PUiWIpW+GFzfB8saQIi/8bNyqwIgCFD/RtvscyVMiIhnywZbyoa7ywa5cQkAIqE/g8LUnNJ7tRcYksdnT3d2yBhbXg6s74NvxULStUVriJ0ZhMruQw/nJ9gFwcDIU/wmqjY6U26Qdl5m04wqNiqZjVD05JiRSYFLA7gmEHDuVL20C1ncoo12+3vNgQyfI4gHN1qjWjniKaihFSAjYPQGZQLf7LpYE1SBQrVo1atSowS+//BJKbsaMGaxfv95wJrq1Xpo8FIxMB+9fQvtjkCziM21vP/Wn7JjdRHd15uKQqjjrvZLKWjtG4rIbAuO3XWLKrqt8XyI9w2rnjdq8goNhVAZ4/wJ+Oggp85gVjybjhlmR2F8lR/MTZTLwQ0AQsaLLOYH2dzdLRloRKDN6F3eeveXvn0pSJGPojze1avOL7r5xsGso5G0A9WZb3Jz4icUIIxRwNE8JD0aHpSfYcNqP3zyy0sUzh7bQRV0IOCgBvxdvKTlyl2FnFOUM6GguzuaRUH6vjM0K/o+h7S5IG/n500pD4ifm4Ta2lsP5ScixZzm+hcZLI8XUZYUPq0/etZ6P5iONWAoIAW0JhOz+o3jC6YGexIlh2a5V4Ub7ZYfFjlB5iGpJiaeohlKEhIDdE5AJdLvvYklQDQLKyvODBw+SM2fOUHIXL16kdOnSPHnyRI1mNNHQ5KFgWil4eA6aroJslSKM2+v6ExrN8iJT0jjs7lZBkxxFVAhEJYGlR27RZ80ZKrol58+WRaMyFHh+GyblAWfXTztEuEY3Kx5Nxg2zIrG/SuIn9tenkpEQUJtAw5mHOXLjKZMbFaBWgTRqy0es93cbOPs3VBwIZbtY3Lb4icUIIxQQTwHlQ63Cw7bz3P8jK38qSVG9PzrRtotFXQhYDYGgoGByDdzCu49B7OlWgYxJ45gX24s7MDE3OLlAn7sQzbidVsRPzMNtbC2H85NLW2BZQ0iZD37aHykm5bzn477P+KNJQarnU+cM5kgblQJCwMoJhHz0u6hNMcpmS6ZNtHMqwZ1jUO9PyFtftTbEU1RDKUJCwO4JyAS63XexJKgGgThx4uDl5UXevKFXl545c4bixYujnBNlrZcmDwVLG8HlzVB9IhRpHWHqq47foevKU5TJmpTFbYtbKyaJSwiYTWD3xYe0mn+MnKnis7ljWbN1VKl4eRss/Q6S5YT2XmZLajJumB2NfVUUP7Gv/pRshIAWBLr85cPqE1G0yml6aXhwFhqvgBxVLU5P/MRihBEKiKfA6TvPqfnHQeLGcOXkgMrmr4rVtqtEXQjYBYEqE/dx6cEr5rUqinuO5ObldHEjLG8CKfLAzweN1hA/MRqVWQUdzk8enIPppSBWIuh5M1JmRYbt4PHr9/zToQx50yaItLwUEAKOQCBkZwbNdgAKCoSRaeGjP3TwhqTZVMMqnqIaShESAnZPQCbQ7b6LJUE1CFSoUMEweT5lypRQcu3bt+f06dPs3x/5F6tqxGGOhiYPBZu6w9FZUKYLVBoYYVi/77zChO2XaVAkLWPq5zcnBakjBKyawMX7L6k6aT+JYkfj5ADPqI31wETYMQjy1IP6c82ORZNxw+xo7Kui+Il99adkIwS0IDBh2yV+33WVJsXTM6KOjkeDBH6EEakh8AN0PA2JMlicnviJxQgjFBBPgam7rzJ26yUq50rB7OZFtAUu6kLAwQn8uMibreceMKhGLlqWzmQejV3DYd8YKPA91J5qtIb4idGozCrocH7y7gWMSv+JVe+7ECNuuNzevA8g98Cthr8/NdCTBLGimcVYKgkBeyOw7Ogteq8+Q/FMiVnxY0n103t0CaYWg2ixofcdcFbvWDjxFPW7SxSFgL0SkAl0e+1ZyUtVAsr27ZUqVaJo0aJUrFjRoL1z506OHTvGtm3bKFs2iledRpCtJg8FB3+H7f0hT32o/2eErHutOs3yY7fpXCk7HSup97Wgqh0sYkLAAgIv3n4k/+BtBoULQ6pG7VnPq36AM3+BRz8o193srDQZN8yOxr4qip/YV39KNkJACwIrjt2i56ozlM+ejAWti2nRRNiaX15Sxfn8ksrM823/pS5+om33iadAyJEHQ2vlplnJjNoCF3Uh4OAERm66wMx912lZKiODauY2j8aS7+DKNqg2Foq3M1pD/MRoVGYVdEg/GZke3r+AX45AcrdwuV3we0m1yftJGDsaPlH9wbxZvSuVhIA2BK4+fE2lCXuJ4erM6UGexHBVb4LbEPGZv2FVG0hbDNpuVzUJ8RRVcYqYELBrAjKBbtfdK8mpScDHx4exY8ei/HesWLHIly8fvXv3Jls2654U1uSh4NxaWNkC0hWHNp8mDsO7mv15hP1XHjPuu/zUL5xWzS4RLSFgFQSCg4MNX6T7fwhkV9fyZE4W/tfrmgccsvVuo2Xg9o3ZzWkybpgdjf1VFD+xvz6VjISAmgQOXHnM938eIWvyuOzoUl5N6Yi1zq2BlS0hTWH4YZcq7YqfqIIxQhFH9pTX7wMoOGQbHwODLTuTWftukhaEgF0QCFltWCFHMua3MvMDr3HZ4fUDaLMd0hmvIX6i/S3kcH4yrRQ8PAdN/4ZslcMFvPXcfX5cdJz8aROwrkMZ7TtCWhACNkJAeRemHG/w5M0HVv1cksIZEqsb+bb+cOh3KNoWvh2vqrZ4iqo4RUwI2DUBmUC36+6V5IQAaPJQcPc4zPaAeKmh64UIMXuM28P1x29Y9kMJSmZJIl0iBOySQMXxe7j26A1L2xanVNakUZOjsvXu8FQQ9BE6noJE5q/C0mTciBoq0qqKBOS+UBGmSAmBCAjcePwG93F7iBXNhfNDquDk5KQPr90jYO9oKPg91DJ+W92IgpNxQ5+us8VW1Lg3dl54QJsF3qRLHIt93d31+7dii8AlZiGgAoFD1x7TZPYRMiWNw+5uFUxXfOkHE9zAyfnTttnRYxutocaYYXRjUtCmCJh9byxtCJe3QPWJUKR1uDnP3ned4ZsuUCN/aqY0LmhTbCRYIaA1gZCjPXpWdePnClnUbW5hLbi+B2pMhsItVdU2e9xQNQoREwJCwBYIyAS6LfSSxGgVBIKCgrh69SoPHz5E+fO/r3LlyllFjGEFoclDwetHMC4r4AT9HoJr9DDzV75GdOu/hfcBQYaXWumTGP8D2WqBSmBCIAwCVrHTwsMLMK0ERI8LvW6Ds/lb72oybsid84WA+IncDEJACERE4N3HQMPzk3Kd6F+ZxHHCfs5SneKK7+HCP1BlBJRsr4q8+IkqGCMUcWRPGbT+HPMP3aRJ8fSMqJNXe9jSghBwcAJ+L95ScuQuXJ2duDi0Kq4uJv7euLQZljWC5Lngl8Mm0RQ/MQmXWYUdzk82doNjs6FMF6g0MFxm/daeYbHXLdq7Z6F7lfC3ejcLulQSAjZOYM7+6wzbeAEPt+TMbVlUvWyCg2FsFvB/Aj/shjSF1NNGo8VmqkYoYkJACFgLAZlAt5aekDismoCXlxdNmjTB19cXZVL435eyKigwMNBq49fkh6bCQFnpGvAWfjsJiTOHmf/j1+8N2/koC6cuDa1GdFcTf2BbLVUJTAiEJtB95SlWHr9D18rZ+bViFB3r8OV8qKLQdodFXaTJuGFRRPZTWfzEfvpSMhECWhIoOnwHj169558OZcibNoGWTf1fe0oReHIFmq2BLB6qtCl+ogrGcEUc3VM8xu/h+qM3zPi+EFXzpNIWtqgLASFAUFAwOQd8+kB+b/cKZEgSxzQqu0fC3lGQvzHUmWFSXfETk3CZXNgh/eTAJNgxEPI2gHqzw2UW8rH8mHr5aFA0nclspYIQsGcCZ+68oMYfB4gf0xWfAZ44O6u0c9aLuzAxFzi5QJ97EC2mqhjFU1TFKWJCwK4JyAS6XXevJKcWgQIFCpA9e3YGDx5MqlSpvtoeMEECnV5smpGQZg8FfxSFx5eh+XrIHPb5nKduP6fW1IOkjB8Trz4VzYheqggB2yAwYftlft95JWpXQO0cAvvHQ6EWUPN3i8BpNm5YFJV9VBY/sY9+lCyEgNYEak89iM/t5/pNDH58ByNSQXAQdL0E8VKqkqL4iSoYwxVxZE+588yfMqN3o7ynPTnAkwSxomkLW9SFgBAwEKgycR+XHrxifquiVMiR3DQqSxvB5c1QdTSU+MmkuuInJuEyubBD+snZVfB3a0hfElp/2vknrKv82N34PvFnebsSlMgsxxKafHNJBbsmEBAYRP7B23jzIZDNHcuSM1V8dfK1YMcSYwIQTzGGkpQRAkJAISAT6HIfCAEjCMSJE4dTp06RNauybbltXZo9FCyqC9d2Qs0/oFCzMKFsOuPHL0tOUCh9Qlb/Utq2wEm0QsAEAsuP3qLX6jO450jGvFbFTKipYtGQF1LVxkDxHy0S1mzcsCgq+6gsfmIf/ShZCAGtCbRfeoKNp/3o921O2pYNe6cfVWPwOw0zy0LMhNDzJobtg1S4xE9UgBiBhCN7Ssizl/zO0PYeE3Uh8F8C7RZ6s+38AwbXzE2LUhlNAzTeDV75QeutkL6ESXXFT0zCZXJhh/ST20fhz8oQPy10ORcmM2VyUDlWJyAomMO9PUiVIJbJbKWCELB3AiG7NJjlC+HB2TsGdg+HfI2g7kzVEYqnqI5UBIWA3RKQCXS77VpJTE0CHh4e9OjRg6pVq6opq4uWZg8F/3SE4/OhfE9w7xNmLiFn4dTIn5opjQvqkq80IgSigsDey49oMfcobinjsaVTuagIASblhee3oMUGyFTWohg0Gzcsiso+Kouf2Ec/ShZCQGsCIzddYOa+67QqnZGBNXJr3RycWgFr2kH6UtB6s2rtiZ+ohjJMIUf2lPZLTrDxjB8dK2ajc+Xs2oIWdSEgBL4QCPGnlqUyMqimCf706gGMV/6tOkHvOxAjrklUxU9MwmVyYYf0k5d+MMENnJyh3yNwcf2K260n/pQbu9twHOHFIVXV257a5B6SCkLAeglM2XmF8dsv822+VExtotJZ5cubwsUNUGUElGyvevLiKaojFUEhYLcEZALdbrtWElOTwJo1a+jXrx/du3cnb968RIsWeovAfPnyqdmcqlqaPRQoW0UrW0bnbwJ1pocZ86D155h/6CY/lc9Cr2puquYlYkLAmghcfvAKz4n7DOc+nR5URf/Q3r+CkWk/tdvjBsRObFEMmo0bFkVlH5XFT+yjHyULIaA1gQWHbjJw/Tmq5E7BzGZFtG4Otg+Eg5OgSBuoPkG19sRPVEMZppCjekpgUDCFhm7nxduPrPq5JIUzWPbco20viboQsC8CS4/cos8aM3beurwNln4HSXNAh6MmQxE/MRmZSRUc0k+CgmBYcgj6CJ3OQML0XzE7cOUx3/95hKzJ47KjS9hHF5oEWgoLATsk4HX9CY1meZE8XgyO9Kn41bGnZqX8ZYHIP5BJ/UUq4ilm9YpUEgIOSUAm0B2y2yVpUwk4Ozt/VcXJyYng4GDDg0FgYKCpkrqV1+yh4PRKWN0WMpSBVhvDzOeHhd5sP/+AobXz0KxEBt1yloaEgN4EXr37SN5B2wzNnhtchTgxvv56XdOYQrafi5sSul2yuCnNxg2LI7N9AfET2+9DyUAI6EFgx/kHtF3oTZ408dnwq2W7ihgV75IGcGUrfDMOiv1gVBVjComfGEPJ/DKO6ik+t59Te+pB4sV05WT/yri6fP1bzXyqUlMICIGICBy69pgms4+QKWkcdnerYDysL9vxNoS6s4yv97mk+InJyEyq4Kh+wuT88OwmtNoMGUp9xWzJEV/6rjmLh1ty5rYsahJTKSwEHIXAu4+B5B20lY+BweztXoEMSeJYlvrb5zD68ztk5WipWIks0wujtniK6khFUAjYLQGZQLfbrpXE1CTg6+sboVyGDNY7OazZQ8EtL5hb5dNXusrXumFc30zez3m/l8xtWQQPtxRqdoloCQGrI5B34FZevQ8wfJmufKGu6+U9DzZ0giwe0GyNxU1rNm5YHJntC4if2H4fSgZCQA8CF/xeUm3yfhLFjsbJAZ7aNxmyyqPlJshYWrX2xE9UQxmmkKN6SshWoVVzp2RGs8LaQhZ1ISAEQhG49/wtpUbtwtXZiYtDqxr/AcuyJnBpo9nb8YqfaHsjOqqfML863NwPdWZB/oZfQTb7yAJtu0vUhYDVEag//RDevs8YWz8f3xVJZ1l8N/bDguoRvm+2rAEQT7GUoNQXAo5DQCbQHaevJVMHJaDZQ8HLezAhJzi7Qt8HYZ4XVWDINp77f2Rrp3LkSBnPQXtA0nYUApUn7OXKw9csalOMstmS6Zv2pu5wdBaU7ABVhlvctmbjhsWRiUBUEpD7IirpS9uORuDlu4/k+7yzyfkhVYgdXcOdTVQ+BuTffSXjhqPducbna8m90WDGYY7efMrwOnloWtx6P2Q2noaUFAK2QyAoKJicA7bwPiDItJWGE3LBy7tg5odalowZtkNXIjWHgEX3xpqf4dRS8OgP5bp91fxPi46z5dx9BtbIRavSmcwJT+oIAYcgMHrLRabvuUaDImkZUz+/ZTkfngpb+4BbdWi0xDKtcGpbNG5oEpGICgEhYK0EZALdWntG4rJKAufPn+fWrVt8+PAhVHw1a9a0yniVoDR7KAh1XtRZSBj6C8M37wPIPXCrgcvZwVWIq/eW1lbbIxKYvRJoPvco+y4/Ykz9fDSw9ItbUyHN+xZ8D0Dt6VCgiam1vyqv2bhhcWT2IyB+Yj99KZkIAa0IKFshvnoXwPbO5ciWQsMPEe94w5yKoNIxIP/mIX6i1d0RWteRPEU5NqfgkO0EBAWzv4c76RLH1geytCIEhMAXAp4T93L5wWsWtC5G+exGfDj8+hGMywo4Qe/bEMN0TxM/0ecGdCQ/MRDdPQL2jobCLaHG5K8gK7sBKbsCya6K+tx/0ortEth98SGt5h8z/XiPsFJe8xOcWgYV+kCFnppAEU/RBKuICgG7JCAT6HbZrZKU2gSuX79OnTp1OHPmjOHMc+Xsc+VS/qxcDnkGupJ4BOdFXX7wCs+J+0gQKxqnBuqw9ajanS56QsBEAr1WnWb5sdt0rpSdjpWymVjbguLKeDQmE7x9Bu32QuoCFoh9qio/JixGGK6A+Il2bEVZCNgbgaqT9nHx/ivmtSqKe47k2qV3YiGs/xUyV4Dm61RtR/xEVZxfiTmip2w//4AfFnqTMUls9nR31xawqAsBIRAmgXYLvdl2/gGDa+amRamMkVO6sgOW1IMk2eBX78jLh1FC/MQsbEZXckQ/McAJeQbKUhGarQ7FS3nvl2fgVt58CIyaY9qM7j0pKASinsCLtx9RdiFVXk8d7VuR5PFimh/UtFLw8Bw0Xg45qpmvE0FN8RRNsIqoELBLAjKBbpfdKkmpTaBGjRq4uLgwe/ZsMmfOzNGjR3ny5Aldu3Zl3LhxlC1bVu0mVdPT9KFgQQ24sS/M86JCvj7MmSo+mztaLx/VQIuQwxOYtOMyk3ZcoVHRdIyql08/Hi/9YIIbODlDn3sQLZbFbWs6blgcnW0LiJ/Ydv9J9EJATwJtFxxjx4WHDKudh+9LaLhN9Zbe4DUNSvwCVUeqmqL4iao4vxJzRE8ZsO4sCw/70qxEBobWzqMtYFEXAkIgTAIjNl1g1r7rtCqdkYE1ckdOad9Y2DUM8tSH+n9GXj6MEuInZmEzupIj+okBzrXdsKg2JM0BHY6G4vXk9XsKD9uBsm7m4tCqxHB1MZqnFBQCjkggZMeGqU0K8W2+VOYh+PgORqSG4EDofA4SpDVPJ5Ja4imaYBVRIWCXBGQC3S67VZJSm0DSpEnZtWsX+fLlI0GCBIYJ9Bw5chj+P2US/eTJk2o3qZqepg8Fa9uDz2Lw6AfluoeKebGXL/3WnqVSzhTMaVFEtXxESAhYK4G/jt2mx6rThm0Mle0Mdbuu7oDFlq3o+G+smo4buoGxzobET6yzXyQqIWCNBAauO8uCw778XCELPau6aRfiwlpwfQ/UnAKFmqvajviJqji/EnNET3Eft4cbj98wq1lhPHOn1BawqAsBIRAmgSVHfOm75izuOZIxr5URv3tWfA8X/gHPYVDqV7Ooip+Yhc3oSo7oJwY4T67BlEIQLfanj9E/7zKp/NWJW8+oO+0QqRPE5FDvikazlIJCwFEJhPx2aVkqI4NqGvFxVVig7p2EWRUgVmLocT3Uv0k1uYqnqElTtISAfROQCXT77l/JTiUCiRIl4vjx44bV51myZGHOnDm4u7tz7do18ubNi7+/v0otqS+j6UPBnlGwZ+Snl63KS9d/XaO3XGT6nmtY9OCkPg5RFAKaEdh/5RHN/jxK9hRx2da5vGbtfCV88HfY3h9y1YIGC1VpV9NxQ5UIbVdE/MR2+04iFwJ6E5i17xojNl2kZv7U/N64oHbNj8sOrx9A252QVt2PHsVPtOs2RdnRPOX2U3/KjtmNi7MTPgMqEy9mNG0Bi7oQEAJhEjh09TFN5hwhc9I47OpWIXJKE/PCi1vQYgNkMm93OvGTyDFbUsLR/OQLK2W16/AUn/5njxsQO/GXv1p78i6dVvhQPFNiVvxY0hK8UlcIOASBDafv0WHpSXKlis8mc3ciPb4A/vlNk6Ol/t0J4ikOcUtKkkJAFQIyga4KRhGxdwLKFu3KSvPatWvTpEkTnj17Rr9+/Zg1a5ZhYv3s2bNWi0DThwKfpbD2Z8jsDs3XhmLw27KTrD91jz7fuNGuXBar5SOBCQG1CFx9+IpKE/YRL4YrZwZXUUs2cp01P8GpZVChD1ToGXl5I0poOm4Y0b49FxE/sefeldyEgLoENp72o/3SExTOkIhVP5dSVzxEzf8pjMn06X/1vgMx4qnajviJqji/EnM0T1l65BZ91pyhaMZErPxJo38T2naZqAsBuyBw9/lbSo/ahauzk2Fra1cX5/Dz+rfP9LoFMROYxUD8xCxsRldyND8JBWZsNnjzENrthdQFvvzV5B1XmLjjMg2KpGVM/fxGs5SCQsBRCTx8+Y5iI3YaNnI4NdCT+OZ86LixKxyb82m3EmXXEo0u8RSNwIqsELBDAjKBboedKimpT2Dr1q28efOGunXrcv36dapXr87FixdJkiQJy5cvp2JF693OSdOHghv7YUF1SJIVfj0eCny96Yc47vsMi86+Ub8rRVEIaEbgzfsAcg/catA/M8hTv1VRM8rC/dPQcDHkrKFKfpqOG6pEaLsi4ie223cSuRDQm4DP7efUnnqQlPFj4tVHo2fNmwdh/jeQMD10OqN6iuInqiMNJehonvLz4uNsPnufLpWz81vFbNrCFXUhIATCJRAUFIzbgC18CAhiX3d30ieJHT6ta7tgUR1InBl+M//oO/ETbW9IR/OTUDRnucO9E9BwCeSs/uWvuvzlw+oTd+leJQft3bNq2wGiLgTshECFsbu5+cSfea2K4p4juelZ/ekJt49A3TmQ7zvT6xtZQzzFSFBSTAgIAWQCXW4CIWAmgadPnxq2TXT61xlJZkppWk3Th4JnN2FyfnCJAX3vg/P/vzwvOXInfi/esbZ9aQqkS6hpjiIuBKyFQL5BW3n5LoDtncuRLYW6q/jCzDEwAEakhsD38OsJSKLObg+ajhvW0llWFIf4iRV1hoQiBKyIwKNX7yk6fIdhFcelodWI7hrBCj9z4z46GzZ1g2xVoOlf5qqEW0/8RHWkkQraq6cEBAZRaOh2w3PWml9KUTB9okhZSAEhIAS0I1B5wl6uPHzNgtbFKJ89WfgN7Z8AOwdD7rrw3TyzAxI/MRud2RXt1U++AvJXczi/DqqOghI/f/nr+tMP4e37jCmNC1Ijf2qzOUpFIeBIBLqvPMXK43f4pUIWelR1My31oEAYmQ4+voH2RyFZDtPqm1BaPMUEWFJUCDg4AZlAd/AbQNI3jkDr1q2ZPHky8eKFnhBTVqX/+uuvzJ071zihKCil6UNB4EcYlhyCg6DrZYj36eyoj4FB5Oi3maBgONa3EsnixYiCzKVJIaA/gSoT93HpwavIXySpFdqjyzC1KESLDb3vhvqIxZImNB03LAnMDuqKn9hBJ0oKQkAnAsHBwbj138J7Y1b4mRvThi7g/SeU7gSVB5urEm498RPVkYYSdCRPOXHrGXWnHSJ+TFdODvA0nIMulxAQAlFH4IeF3mw//4AhtXLTvGTG8AMJmZysPARKdzQ7YPETs9EZVdGR/OQrIFv7wuE/oER7qDriy18rHzEqHzOu71CafGllUYhRN5IUcngCf3nfpsffpymSIRF/m3oE1eMr8EcRcI0FfZT3Wy6a8RRP0QytCAsBuyMgE+h216WSkBYEXFxc8PPzI3ny0NvPPH78mJQpUxIQEKBFs6poav5QMCE3vLwDbXdC2iKGmG8/9afsmN2GlVIXh1TFWV5wqdKXImL9BFrOO8qeS48YXS8vDYum1z7gc2tgZUtIXQja7VatPc3HDdUitT0h8RPb6zOJWAhEJQGPcXu4/vgNS38oTqksSdUPZW41uHUI6syC/A1V1xc/UR1pKEFH8pSQs2i/yZuSaU0LawtW1IWAEIiUwPCN55m9/watS2diQI1c4ZeflA+e+0LzdZC5QqS64RUQPzEbnVEVHclPvgLiNQO29IScNaHhIsNfv/0QSM4BWwx/PjXAkwSxoxnFUQoJAUcncPPxGyqM20N0F2dOD/IkZjQTJsHProK/W0OaIvDDTk1RiqdoilfEhYBdEZAJdLvqTklGbQKKoSqrf5St2q9cuUKyZP/fmiwwMJB//vmHXr16ce/ePbWbVk1P84eCuVXh1mGoPxfy1DPE7XX9CY1meZEpaRx2dzP/R7JqEERICOhEoPfqMyw7eouOFbPRuXJ27VvdNRz2jYGC30Otqaq1p/m4oVqktiMkfmI7fSWRCgFrItDszyPsv/KYsfXz8V2RdOqGFj9a9ycAACAASURBVBwMozPCu+fw435IlU9dfUD8RHWkBkFH9JSQrXRH1s1L42I6fKSoTdeJqhCwGwJLjvjSd81ZPNySM7dl0bDzevvsk88oV8+bEMv8oxfET7S5dRzRT74ieXEjLG8CqQtCuz2Gv750/xVVJu0jQaxonBroqQ18URUCdkhAeYdebMROw+4NK9qVoHjmJMZnuX0gHJwERVpD9YnG1zOjpHiKGdCkihBwUAIyge6gHS9pG0fA2dk5wjPOlfPPBw8eTN++fY0TjIJSmj8UrG4Hp1dApcFQppMhw1XH79B15SnKZE3K4rbFoyBraVIIRA2B33deYcL2yzQokpYx9fNrH8TypnBxA1QZCSV/Ua09zccN1SK1HSHxE9vpK4lUCFgTgZ5/n2aF9206VcpGp0oqf5j16j6MzwFOztDHD6LFVD118RPVkRoEHc1TXr77SMEh2wkMCmZ/D3fSJY6tDVhRFQJCwGgCB68+pumcI2ROFoddXcP5aP76HlhYCxJlhI6njNYOq6D4iUX4wq3saH4SJgi/UzCzHMRJBt2vGopsO3efdouOkzdNAv75tYw28EVVCNgpgfZLTrDxjB/dPLPTwSOb8VkuqgPXdn2aPFcm0TW8xFM0hCvSQsDOCMgEup11qKSjLoG9e/caVqB7eHiwatUqEidO/KWB6NGjkyFDBlKnTq1uoyqraf5QsHMo7B8HRdvCt+MN0YdMIjYsko7R9dVfzaQyIpETAqoRWOl9m+5/n6ZstqQsaqPDxyO/F4Sn1y3eEvG/ADQfN1QjbjtC4ie201cSqRCwJgKafpilvKBSXlQlyQa/emuStviJJlhxNE+58uAVnf/ywf9DYPgTddqgFlUhIATCIXD3+VtKj9pFNBcnLgypiquL89clD0yCHQMhVy1osNAiluInFuELt7Kj+UmYIPyfwphMn/6q732IFos5+68zbOMFvs2XiqlNCmkDX1SFgJ0SWHDoJgPXn6Nc9mQsbF3MuCyVnbHGZgX/x9B2F6TV9rge8RTjukVKCQEhADKBLneBEIiEgHK+edu2bRk6dCjp0qm8daYO9DV/KDg+H/7pCNk8oelKQ0Yhq6U6V8pOx0omfG2oAw9pQghoSSBkJUbW5HHZ0aW8lk3BhzcwIg0QDN2uQtz/HzFhacOajxuWBmij9cVPbLTjJGwhEIUEQnb1KZ01CUvallA3ksNTYWufUGd+qtuAbOGuNs9/6zmip7z7GGjaWZpadoBoCwEHJxAUFIzbgC18CAgKf2eIla3g3GqoOBDKdrGImPw+sQhfhJUd0U9CAVEm7pTf1R/fQAdvSJqN/mvPssjLl18qZKFHVTft4IuyELBDAufvveSb3/cTN4ar4QgEF2enyLN86QcT3D7vjHXP8CGLlpd4ipZ0RVsI2BcBmUC3r/6UbDQiEC9ePM6cOUPGjJ/P79KoHS1kNX8oCFm9lCwntPcypBByXue47/JTv3BaLdISTSFglQSuPXpNxfF7iRPdhbODq0R4BITFCdw9DrM9Qm01Z7HmZwHNxw21ArVBHfETG+w0CVkIRCEBr+tPaDTLi4xJYrOnu7u6kaxrDycXQ/me4N5HXW3xE014/ldUPEUXzNKIEBAC4RCoPGEvVx6+NqwwVFYafnWF7JbVbA1k8bCIo/w+sQhfpJUd3k+mFodHF+Hzvdp87lH2XX7E6Hp5aVg0faT8pIAQEAL/J6AcuVNgyDZevQtgw69lyJMmQeR4Lm+FpQ0gmRu0PxJ5eQtLiKdYCFCqCwEHIiAT6A7U2ZKq+QRq166N8p+WLVuaLxJFNTV/KHh8Ff4oDNHjQu874OSEx7g9XH/8hmU/lKBkliRRlLk0KwT0J/D2QyA5B2wxNHx6kCfxY0bTLogTi2B9B8hUHlqsV7UdzccNVaO1LTHxE9vqL4lWCEQ1gdtP/Sk7ZjfRXZy5OLQqzsas4DA2aOUjLOVjrO/mQ+46xtYyqZz4iUm4TC4snmIyMqkgBISAigTaLvBmx4UHDK2Vm2Yl/7PY4N0LGPV54rHHDYj9/+PwzAlB/MQcasbXcXg/WVwfrm6HGr9D4RZUGLubm0/85Z2W8beQlBQCoQi0mneU3Zce0b96LtqU+XxEQkSM9o2FXcMgbwOoN1tzmuIpmiOWBoSA3RCQCXS76UpJREsCM2fOZNCgQTRt2pTChQsTJ06cUM3VrFlTy+Yt0tb8oeDjOxie4lOMPW4QHCsRbv238D4giH3d3UmfJLZF8UtlIWBrBJQvbZ/7f2Rrp3LkSBlPu/C39AavaVD8Z6g2StV2NB83VI3WtsTET2yrvyRaIRDVBD4GBpGj32aCguFon4okjx9TnZCCgmBk2k/blbY/CslyqKP7HxXxE02wfhEVT9GWr6gLASEQMYHhG88ze/8NWpfOxIAauUIXvrEPFtSABOmh8xmLUYqfWIwwQgGH95N/OsHxeVCuB4EV+hievQKCgjnUy4PUCbXdSlrbnhV1IRA1BKbtucqYLZeomjslM5oZcZ75imZwYT14DoNSv2oetHiK5oilASFgNwRkAt1uulIS0ZKAs7NzuPJOTk4EBgZq2bxF2ro8FIzLDq8fQLu9PIqXk6LDdygL0bk0tBrRXcNnZ1FiUlkIWCmBqpP2cfH+K+a1Kop7juTaRbmgJtzYCzWnQKHmqrajy7ihasS2IyZ+Yjt9JZEKAWshUGrkTu69eMfqX0pRKH0idcJ6dhMm5weX6NDnHrhos2OK+Ik63RWeiniKtnxFXQgIgYgJLPbypd/as1R0S86fLYuGLnxoCmzrBzlrQMPFFqMUP7EYYYQCDu8n+8fDziGQvzG3y0/QbvcfbbtR1IWA1RDwvvmU+jMOkyROdLz7VYr8eEPld4ny+6T5OshcQfM8xFM0RywNCAG7ISAT6HbTlZKIrRCYNm0aY8eOxc/Pj9y5czNp0iTKli0bafjLly+ncePG1KpVi7Vr10ZaPqSALg8FsyvCXW/DD+NTcctSa+pBUsaPiVefikbHKQWFgL0QaD3/GLsuPmRk3bw0LqbheWljs8KbR9B2F6Q14oteEwDrMm6YEI8UtQ4Ccl9YRz9IFI5H4LsZhzh28xlTGhekRv7U6gC4tAWWNYQUeeDng+pohqEi44ZmaG1eWO4Nm+9CSUAIcPDqY5rOOULmZHHY1fU/Ex5/t4Gzf4NHfyjXzWJaMmZYjFA3AZt853X6L1j9A2Qsy8Ey88O/r3WjKA0JAdsm8D4gkLyDtvEhIIidXcuTJVnc8BNS+cgPY8iJpxhDScoIASGgEJAJdLkPhICOBFasWEGzZs1QflCULl0aZZusOXPmcP78edKnD3+izdfX11A+c+bMJE6c2Pom0Fe2hHNroMoINsWtyy9LTlA4QyJW/VxKR7rSlBCwDgJ915xhyZFb/OaRlS6e2myJy+tHMC6rYuPQ5y5ED32shKUk5MeEpQT1q6/nCyq5L/TrV2lJCPybQKflJ1nrc49e1dz4qXwWdeDsnwA7B0Pe76DeHHU0w1CRcUMztDYvLPeGzXehJCAEuPPMnzKjdxPNxYmLQ6vh4uz0fypTCsOTq9B0FWSrZDEtGTMsRqiLgM2+8/I9DPOqQsIMLC25gT5rzuCeIxnzWhXThZs0IgTskUDDmYc5cuMpo+rmpVFEi0tuHoT530CCdND5rC4oxFN0wSyNCAG7ICAT6HbRjZKEHgT27t3LuHHjuHDhgmHrmZw5c9K9e3ejVo+HxFe8eHEKFSrE9OnTv4Ss6NSuXZuRI0eGmYayPXz58uVp1aoV+/fv5/nz59Y3gb6tPxz63XAW8+w47Ri+6YJhhZSyUkouIeBoBP7YdYVx2y5Tv3Baxn2XX5v0r++BhbUgUSbo6KN6G/JjQnWkoQTV8BNFUO8XVHJfaHtfiLoQCI/A2K0Xmbr7Gs1KZGBo7TzqgFr1A5z5S7WVgeEFJeOGOt0VkYpanqLnB1lKPnJvaH9vSAtCQGsCgUHB5Oy/hQ+BQezv4U66xLE/NfnuJYxK9+nP3a9BnKQWhyJjhsUIIxVQw09s9p3X89swKQ84uzKqyF5m7POlZamMDKqZO1JuUkAICIGwCYzfdokpu65St1AaJjQoED4mr+mwpRfk+AYaL9MFp3iKLpilESFgFwRkAt0uulGS0JrA4sWLDRPYdevWNawEDw4O5tChQ6xZs4b58+fTpEmTSEP48OEDsWPHZuXKldSpU+dL+Y4dO+Lj44PyYyWsa+DAgZw+fdrQVsuWLSOdQH///j3Kf0Iu5aEgXbp0vHjxgvjx40cap1kFjs6GTd3ArTqDYvdh/qGbhhVSykopuYSAoxFYdfwOXVeeokzWpCxuW1yb9A9Pg629Df/maLRE9Tbkx4TqSL8IquEnIWJ6v6CS+0K7+0KUhUBEBJYeuWVYCeXhlpy5/z1j1lx008vAgzPQaBm4fWOuSqT1ZNyIFJFFBdTyFL0/yFKSlnvDoq6XykLAaghUmrCXqw9fs6hNMcpmS/YprpDVhPHTQpdzqsQqY4YqGMMVUcNP9Hrn9d8kVLk3AgNgWHIIDqRXxhUsvxjIgOq5aF0mk7bgRV0I2DGBfZcf0XzuUdIljsX+Hh7hZ7r2F/BZAuV7gXtvXYioMm7oEqk0IgSEQFQTkAn0qO4Bad8mCCirxNu1a0fnzp1DxTthwgRmz55tWJUe2XXv3j3SpEnDwYMHKVXq/1ubjxgxggULFnDp0qWvJJSyDRs2NEywJ02a1KgJ9EGDBjF48OCvtDSdQL+8FZY2gJR5+SH2JLaff2BYIaWslJJLCDgagUPXHtNkdjhnAaoFY117OLkYyvUAj75qqX7RkR8TqiP9IqiGnyhiUfGCSu4L7e4LURYCERHYe/kRLeYeJUeKeGztXM5yWMpL4hGpIPAD/OYDibV7OSzjhuXdFZGCWp6i9wdZSk5yb2h7b4i6ENCLQNsFx9hx4SFDa+WmWcmMn5o9PBW29oEc30LjpaqEImOGKhjDFVHDT/R656XZopGJeeHFLbrGG8uqR2n4s0URKuZMoS14URcCdkzg9fsA8g3aSlAwHO7tQaoEscLO9suHvUvB7VtdiIin6IJZGhECdkFAJtDtohslCa0JxIgRg3PnzpE1q3Lm8P+vq1evkidPHt69exdpCCE/JpSV6yVLlvxSfvjw4SxatIiLFy+G0nj16hX58uUznJderVo1w99Z7Qr0B+dhekmImZBvYi3mvN9L5rUsirtb8ki5SAEhYG8Ebjx+g/u4PcSK5sL5IVUMRz6ofs1yh3sn4Lv5kPv/O1qo1Y78mFCL5Nc6aviJoqrHCyrNXk5ph1eUhYBdElBW9ikr/OLGcOXMIE/LfeXRZZhaFKLFht53wdlZM27iJ5qhNQir4Sl6fZAlnqLtvSDqQiCqCAzbcJ45B27Qpkwm+lfP9SmM1e3g9Apw7wvle6gSmviJKhjDFVHDT/R656XZopG51eDWIboHd2Tl++Ls6FKOrMnjaQte1IWAnROoMeUAZ+6+YHKjAtQqkObrbAPew4jUEBQAnc5AwvS6EBFP0QWzNCIE7IKATKDbRTdKEloTUCbOlfPOf/zxx1BNzZw503Au+pUrVyINwdSXU8qq84IFC+Li4vJFOygoyPBnZ2dnw4r1LFmyRNquLg8F71/ByLSGWEqyEL93rmztVI4cKeXHRqQdJAXsjsC7j4G49d9iyMtnQGUSxo6ubo7KODAyDXz0h/bHIFl2dfVlVZjqPP8tqIafKHp6vKDS7OWUpoRFXAjYH4G3HwLJOeCTr5wa4EmC2NEsS/L8OvirOaQuBO12W6YVSW1dnkM1zcC6xdXwFD0+yFIoiqdY970k0QkBcwks8vKl/9qzVHRLzp8hx4z8UQweX4ImKyG7p7nSoeqJn6iCMVwRNfxEr3demn2Q9fnDj1EfGzEjsCYXh1YlZrT/v4/TtgdEXQjYJ4Eh/5xn7sEbfF8iPcNq5/06Sb9TMLOcYUEWPW+CFgtQwkArnmKf95tkJQS0ICAT6FpQFU27IzB9+nQ6depE69atDduvKytKDxw4YDj/fPLkyV9NrIcHQNkesXDhwoZV5SFXrly5qFWrFiNHjgxVTVnVrqxw//fVr18/lJXpSpvZs2cnevTIJ+Z0eygYnRHePsPz/WguB6fj7OAqhpVScgkBRyRQaOh2nr75wOaOZcmZKr66CJ5cgymFwCUG9LkHLur/O9Nt3FCXjE2oqeUneryg0uzllE30lAQpBKyLQOGh23ny5gMbfytD7tQJLAtuzyjYMxIKfA+1p1qmFUlt8RNN8aKGp+jxQZZCQTxF23tB1IVAVBE4cOUx3/95hCzJ4rCzawV4//rzx/XB0PUyxFNnC2zxE217WA0/USK06XdeO4fA/vEsDKjMtNg/49WnorbQRV0IOACBLWfv89Pi4+EfRXViEazvAJnKQYt/dCMinqIbamlICNg8AZlAt/kulAT0IrBmzRrGjx//5bxz5YwoZVW6Mvlt7LVixQqaNWvGjBkzDNu4z5o1y3CGurI9fIYMGWjevLnhnPT/TqaH6Buzhft/Y9HtoWBGWbh/mtYfunE8RnFODVTnS3Nj2Uo5IWBNBL6ZvN9wlMHclkXwcFPnpdGX/C78Ayu+h5T54Kf9mqSt27ihSfTWL6qGn0TFCyq5L6z/3pII7ZdAyPaHs5oVxjN3SssSVVafK6vQPYdDqQ6WaUVSW8YNTfEaxC31FD0+yAqLgtwb2t8b0oIQ0IPA7af+lB2zm+guzlwYWhWX214wryrESwVdQx9TZ0k8MmZYQs+4upb6idKKTb/z8p4HGzqxM7AgM9OO5K8f/3/0onEEpZQQEAL/JfDk9XsKD9th+L/D3KFxU3c4OgtKdoAqw3UDKJ6iG2ppSAjYPAGZQLf5LpQEbI2Asvp8zJgx+Pn5Gc5PnzhxIuXKlTOkUaFCBTJmzGhY2R7WZdUT6MubwsUN9P/YEu/k9Q0rb+USAo5KoO2CY+y48JBhtfPwfYkM6mLYMxr2jID8jaHODHW1P6vJjwlNsKouqvcLKrkvVO9CERQCRhP4adFxtpy7z8AauWhVOpPR9cIs+EdReHwZvl8FWStZphVJbRk3NMWrmrhNrxhUjYIICQEhYA6BwKBgcvbfwofAIPb3cCfd5YWwpSdkrwZNlpsjGWYd8RPVUGouZLPvvK7sgCX1uBiUjj/zLmHsd/k1ZyUNCAFHIFBx/B6uPXrDnOZFqJTrPwtM5laFW4ehzizI31A3HOIpuqGWhoSAzROQCXSb70JJQE8C3t7ehhXoyhbuygp0ZTt2a790eyjY0hu8pjEjoDre2Tozp0URa0cj8QkBzQgo5wAq5wF2cM9Ktyo51G0nZOVg5aFQ+jd1tT+r6TZuaBK9bYiq5Sd6vqCS+8I27i2J0j4JDN1wnj8P3OCHspno+20u85P8+A5GpIbgQOhyAeKnNl/LiJoybhgBSYUilnqK3h9kKSnLvaFCx4uEELASAiGTI4vbFKfM2X5wahlU6A0VeqkWoYwZqqGMUMhSP9EnytCtqHZvPLoEU4vxMjgWC8vvp4NHtqhIR9oUAnZHoPfq0yw7epsfy2Wm9zc5/59fUBCMSgcfXsMvXpD8X3+nMQXVxg2N4xR5ISAEop6ATKBHfR9IBDZA4M6dOzRu3JiDBw+SMGFCQ8TPnz83nIe+bNky0qVLZ7VZ6PZQcHgabO3NhsDieBedyKCaua2WiQQmBLQmMG3PVcZsuUTdQmmY0KCAus1NKQJPrmi6clC3cUNdMjahJn5iE90kQQoBqyMw98ANhmw4zzd5UzKtqQUfcN4/AzPKQMwE0NMXnJw0zVX8RFO8qOkpen6QpVCRe0Pbe0PUhYCeBEJ23xpaOw/NjjeERxeg8XLIUU21MGTMUA1lmEJq+om2kX6trtq98eHNp48MgU3fHuGbom56pyLtCQG7JLD6xB26/HWKgukTsuaX0v/P8fFV+KMwuMaE3nfBxVW3/FUbN3SLWBoSAkIgqgjIBHpUkZd2bYqAp6en4SXPggULyJHj02rSS5cu0bp1a+LEicO2bdusNh/dHgoubIAVTfEJysKxSn/zQ7nMVstEAhMCWhNYc/IOnVecomTmJCxrV0K95j6+/bxyMAi6XIT4qdTT/peSbuOGJtFbt6j4iXX3j0QnBKyVwNZz9/lx0XHyp03Aug5lzA/z9F+w+gdIXxJabzFfx8ia4idGgjKzmHiKmeCkmhAQAqoSCNkl5aeSqejlUxGC1f+tIn6iapd9JSZ+8gnJ80FpScgrLtXZQo78cga6tnedqDsKgdtP/Sk7Zjeuzk6cHuRJ7OifJ8q958KGzpC+FLTerCsO8RRdcUtjQsCmCcgEuk13nwSvF4FYsWJx6NAhChYsGKrJEydOULp0ad6+fatXKCa3o9tDgd8pmFmOR8EJOFrvCN/m02Ziz2QAUkEIRAEBr+tPaDTLi0xJ47C7WwX1IrjnA7PKQ6xE0OOGZisHdRs31CNjM0riJzbTVRKoELAqAmfvvqD6lAMkjRsd736VzY9tx2A4MAGKtIbqE83XMbKm+ImRoMwsJp5iJjipJgSEgKoElKOrlCOs2mV6TB+/3yBuCuh2WdU2xE9UxfmVmPgJvPsYyJWhhcjrfJPXdRYTN38NbaGLuhBwEALBwcGUGrULvxfvWNq2OKWyJv2UecjxhO59oXwPXWmIp+iKWxoTAjZNQCbQbbr7JHi9CCirzhctWkSxYsVCNXn06FGaNGnC1atX9QrF5HZ0eyjwfwpjMhniO9XiEvkzpTQ5VqkgBOyFwK0n/pQbu5sYrs5cHFoVJ7W2yPVZCmt/hgxloNVGzXDpNm5oloH1CoufWG/fSGRCwJoJPPf/QIEh2w0hKr4SM5qLeeEubQSXN8M346DYD+ZpmFBL/MQEWGYUFU8xA5pUEQJCQHUC+688otmfR+macA+/vpsF2Tyh6UpV2xE/URXnV2LiJ3D5wStu/FGbKi7eBFcbg1PxH7WFLupCwIEIdFx+knU+9+hUKRudKmWHoEAYkxnePYc22yFd6PftWqMRT9GasOgLAfshIBPo9tOXkomGBNatW8eIESOYOnUqhQsXNkyGeXt78+uvv9KzZ09q166tYeuWSev1UPAxIJB3Q9MQz+ktT1sdInEGOQPdsp6T2rZM4H1AIDn6fdoa90T/yiSOE12ddLb2hcN/QLF28M1YdTTDUNFr3NAsASsWFj+x4s6R0ISAFRNQVm7kGbiVNx8C2dm1PFmSxTUv2kn54LkvtNgAmcqap2FCLfETE2CZUVQ8xQxoUkUICAHVCYRszzs++kzqOe+Fcj3Ao6+q7YifqIrzKzHxE9h+/gG3l/5Ga9ctUOo38ByqLXRRFwIORGCxly/91p6ldNYkLGlbAu6egNnuECMB9Liu6/nnCnbxFAe6+SRVIWAhAZlAtxCgVHcMAokSJcLf35+AgABcXT+d1RLyZ+UM9H9fT58+tSooej0UKD+a30wqhpvzbYK/X41T1opWxUGCEQJ6EygybDuPX39g429lyJ06gTrNL6oD13ZB9UlQpJU6mmGo6DVuaJaAFQuLn1hx50hoQsDKCXhO3MvlB69Z2LoY5bInMz3a969hZJpP9bpfgzift080XcnoGuInRqMyq6B4ilnYpJIQEAIqEwgMCiZn/y2sc+lBTudb0GgpuH2raiviJ6ri/EpM/ATm7L+O35bx9I+2GHLXge/mawtd1IWAAxFQdnjwnLiPWNFcDOegRzs0EXYOAbfq0GiJ7iTEU3RHLg0KAZslIBPoNtt1ErieBBYsWGB0cy1atDC6rB4F9XooOHztCf7z61HR5aTmk3t6cJM2hIClBGpMOcCZuy+Y07wIlXKlsFTuU/3xbvDKT/MtrvQaN9SBYlsq4ie21V8SrRCwJgKt5h1l96VHjKybl8bF0pse2p3jMMcD4iSH7ldMr29GDfETM6CZUEU8xQRYUlQICAFNCVQbt5V/XjXC1SkIOp+HBJ8/2FKpVfETlUCGIyN+AgPWneXhkZXMiD4J0haFtju0hS7qQsCBCAQFBVNo2Hae+39kbfvSFNj5Pdzcr9uxUv9FLZ7iQDefpCoELCQgE+gWApTqQsDaCej1UPD38Tu8WdOJFq7boWxXqDjA2tFIfEJAUwI/LPQ2bAM3tFZumpXMaHlb/k9hTKZPOr3vQIx4lmuGo6DXuKFZAiKsCQG5LzTBKqJCwGgC/daeYbHXLTq4Z6VblRxG1/tS8MQiWN8BMpWHFutNr29GDRk3zIDmIFXk3nCQjpY0HYbAsJkL6ef3K++iJyJm7xvg5KRq7jJmqIrTrsTUujdazjvKk8tH+CdGP4ibErpdsitOkowQiGoCbRd4s+PCAwZUyUjrAxUg8AN0OA5Js+oemlrjhu6BS4NCQAjoTkAm0HVHLg3aMoGHDx+i/CcoKChUGvny5bPatPR6KPh95xVe7xpPn2jLIG8DqDfbaplIYEJADwID151lwWFffqmQhR5V3Sxv8uYBmP8tJEwPnc5YrheBgl7jhqZJWLm4+ImVd5CEJwSskMD0PdcYveUidQqmYWLDAqZHuLUvHP4Div8M1UaZXt+MGuInZkAzo4p4ihnQpIoQEAKqEtg0dxjf3BrL1fglyNplq6raipj4iepIwxR0ZD/xGLeHF4/vcTzmz5/Y9HsIrjH0AS+tCAEHIDBr3zVGbLpIxwy36PygF8RPC53Pqv7BlTEoxVOMoSRlhIAQUAjIBLrcB0LACALHjx9H2Zr9woULBAcHh6rh5OREYGCgESpRU0Svh4Kef5/m9YmVTI3+O6QrAW3U/9EcNQSlVSFgHoEZe68xarMFEx3/bfbILNjcHbJXgybLzQvKyFp6jRtGhmNXxcRP7Ko7JRkhoCuB9afu8duykxTLmJi/fippetuL6sC1XVDjdyisz5FD4iemd5MpNcRTTKElZYWAENCSwJXZLcl2dw0bEjSleudpqjclfqI60lCCA2KKTAAAIABJREFUju4ngUHBuPXfzMfAIG7EaYNT4Dv47SQkzqwteFEXAg5E4OStZ9SZdojBMZfRgn+g4PdQa2qUEBBPiRLs0qgQsEkCMoFuk90mQetNQFlhnjVrVnr27EmKFClQJs3/fWXIkEHvkIxuT6+Hgu/nHOHVNS/WxRgA8dNAl/NGxygFhYA9Eljnc5eOy30onikxK340Y6Ljv1D+6QjH5+tyRIJe44Y99ntkOYmfREZI/l4ICIHwCBz3fUa96YdIkzAWB3t5mA5qvBu88oM22yFdMdPrm1FD/MQMaCZUEU8xAZYUFQJCQFMCryeXIO6zCwyK1YtBPXur3pb4iepIQwk6up/ceeZPmdG7iebixOWU/XF6chWar4fM5bUFL+pCwIEIKB+o5Bu0jVVOPcjl7Av1/oS89aOEgHhKlGCXRoWATRKQCXSb7DYJWm8C8eLF4+TJk4ZJdFu79HoocB+3h1eP7+GtbHfl5Ax9H4BrdFvDJfEKAdUIHL3xlAYzD5MhSWz2dne3XHdOZbhzVJcfGXqNG5ZDsT0F8RPb6zOJWAhYC4H7L95RYuROXJyduDS0Kq4uzsaH5v8UxmT6VL7XbYgZ3/i6FpQUP7EAnhFVxVOMgCRFhIAQ0J5AwHuCR6TGKSiACh+nsHNoM4NXqXmJn6hJ82stR/eTQ1cf02TOETInjcOu5JPg+m6oNQ0KNtUWvKgLAQcj8PPMzUz3a/Qp625XIW6yKCEgnhIl2KVRIWCTBGQC3Sa7TYLWm0Dt2rVp1qwZ9erV07tpi9vT46FA2dY+R/8tfAgI5HqcNjgbtrvygcSfX9RanIUICAHbI3D7qT9lx+wmuquzYaLjvztXmJSRcnTEyHTw4RX84gXJc5pU3dTCeowbpsZkL+XFT+ylJyUPIaA/gaAg5XlL2V40mAM93UmbKLbxQfgegnnVIEG6T2cN6nSJn2gLWjxFW76iLgSEgJEE7p6A2e48DY5LofczOdDTwzSPMqIZ8RMjIFlQxNH9ZNnRW/RefYYKOZIxP8kiOLEQKvSGCr0soCpVhYAQ+C+BzcumUO1SP+7EyEra3sejDJB4SpShl4aFgM0RkAl0m+syCTgqCDx+/NhwBnqxYsXIkycP0aJFCxVGzZo1oyIso9rU46Hg0av3FB2+A2Vn++upBuD09Cq0+AcylTMqRikkBOyRwIeAIMNEhzL37d2vEknjxjA/zWe+MDkfOEeDvn7gEnoMMl847Jp6jBtqx2wreuInttJTEqcQsE4C5cbs5tZTf1a0K0HxzEmMD/LYHNjYFbJ5QtOVxtezsKT4iYUAI6kunqItX1EXAkLASALec2FDZ7xdClD/TQ+WtC1O6axJjaxsXDHxE+M4mVvK0f1k1OaLzNh7jRYlMzA44SbYPTxKz2c2tx+lnhCwdgIPFrUhxbW/WeJSi6b9F0ZZuOIpUYZeGhYCNkdAJtBtrssk4KggsH79esMK9FevXn3VvLKqNDAwMCrCMqpNPR4KfG4/p/bUg6SMHxOvdH/AtV2y3ZVRvSOF7J2A8mGJ8oHJhl/LkCdNAvPTvbQZljWCFHng54Pm6xhZU49xw8hQ7K6Y+InddakkJAR0JdB4lheHrz9hQoP81C2U1vi2lclzZRK9dEeoPMT4ehaWFD+xEGAk1cVTtOUr6kJACBhJYP1vcGIBGxM0ov2DmgyrnYfvS2QwsrJxxcRPjONkbilH95P2S06w8Ywf/avnok1cL1j7E2QqDy3Wm4tU6gkBIfBfAsHBBE3MjfPLuzT70IuR3TuqvluJsdDFU4wlJeWEgBCQCXS5B4SAEQQyZsxI9erV6d+/PylSpDCihvUU0eOhYNMZP35ZcoLCGRKxKs1yw49n2e7Keu4BiSTqCNT64wCn7rxgVrPCeOZOaX4g+8bBrqGQ9zuoN8d8HSNr6jFuGBmK3RUTP7G7LpWEhICuBLqtPMXfx+/QzTM7HTyyGd/2vG/B9wDUmQn5P587aHxts0uKn5iNzqiK4ilGYZJCQkAIaE1gZnnw82Fl5uF0P5+JH8pmou+3uVRtVfxEVZxfiTm6n1Sfsp+zd18yp3kRKsW6DAuqQ+LM8NtJbcGLuhBwJAKPr8AfRfhANPK+m83IBkVN+yBYRVbiKSrCFCkhYOcEZALdzjtY0lOHQLx48fDx8SFLlizqCOqoosdDwex91xm+6QI186fm9zQ7YNcwKNAUak/TMVNpSghYH4EfF3mz9dwDBtfMTYtSGc0P8O/WcHYVVBwIZbuYr2NkTT3GDSNDsbti4id216WSkBDQlcDE7ZeZvPMKjYulY2TdfMa1rZwlMiYzvH0KP+6DVPmNq6dCKfETFSBGICGeoi1fURcCQsAIAgEfYGQaCPzA6rIb6bL9f+ydBXQUVxfHfzFCcCju7p7gEFxCcYqV4lBaKIVixd2lhRaHFneKu4TgWpxA8ODuGiLf2YTQL5CQ3dmZWcmdc3oOZd+7939/73Lf7L6Z955ROXcKZjb3MKKz8U1kPjGelZKWMXk+CQkJIf/grbx4G8jWXzzJHusRTCwATq7Q9y44OipBKn2EgBD4lMChGbCpB9cSeFDuflfTvs+oTFPmFJWBijkhYMcEZAHdjgdXQlOPgOH88zJlytC2bVv1jOpkSY+bgkFrzzJn/zV+KJuFXmlOwcp2kLEMtFyvU5TiRghYJ4EI/za8cioXObk4PDgH3y6D7FWV2zGypx51w0gpdtdM5hO7G1IJSAjoSmDZ0Rv0XHGKMtmSMr9NMeN8v7gH47ODgyP0uQ0ubsb1U6GVzCcqQPyCCZlTtOUr1oWAEDCCwO0TMKMsxE7E7rpHaD77CNmSx2Nb17JGdDa+icwnxrNS0jImzydPXgVQaOi2UGznh1YjtkMQDEsOhEC3CxDftnahVDL+0kcI6EJg8bfgt4GL+bpR+Yg7WZLFZUe3crq4/tSJzCkWwS5OhYBNEpAFdJscNhGtN4Hhw4czYcIEvv76a/Lly4eLi0sECT///LPekoz2p8dNQdu5R9l+7h5D6+SlWarbMLsaJM4InU8arVMaCgF7JDBj92VGbDxP7YKpmdi4kLIQDW91jEgFwYHQ5QwkSqfMjgm99KgbJsixq6Yyn9jVcEowQkB3AvsvPeTbWYfInCwu3sb+4HR5J8yvA0mywM/HdNUs84m2uGVO0ZavWBcCQsAIAv/OhXU/h54Xfb3GEjzH7iSWsyPnh1TD0dHBCAPGNZH5xDhOSlvF5PnkxI2n1Jm8jxQJXDnUp1IYwvG54MVtaOsNad2VYpV+QkAIhBMICoQxmeDdc140306+GfdDP/m3XyW+iueqOyeZU3RHLg6FgM0SkAV0mx06Ea4ngUyZMkXpzsHBgStXrugpxyRfetwUVJ+4B987z5ndsgjlUwXA73nA0Rn63QdHJ5P0SmMhYE8E1p68zc+Lj1M0YxKW/VBCWWh3z8C0UuCaEHr5g4N6P0RFJUiPuqEMhu33kvnE9sdQIhACliTg/+gVZcf6ENvFkXNDqmG4D432OjAFtvSGnDWg8cJom6vZQOYTNWl+bkvmFG35inUhIASMILD+Fzj6N5TqTGCFQeQasJn3QSHs61WBNInU2/FE5hMjxsKMJjF5Pllz4hadl5yI+J39rypw4xA0mAN56ppBVroKASEQSuD6Ifi7Crglhh6XqTpxH373XjDtO3eq5U2pOySZU3RHLg6FgM0SkAV0mx06ES4EjCOgx01BgcFbefbmPVu6eJIjeZyw7a4Mb8v+4gsJ0xgnVFoJATskcPTaY76ZdoC0id3Y+2uFzyJ89OYRLTe3xD2FO4NKDoqcwKllYccipCsObbboQkmPuqFLIOJEVQKSF6riFGNCQBGBgMBgcvTfhOFY86P9KpHUmDc21vwEx+eDZ0+o0FeRX6WdpG4oJWf//SQ37H+MJcIYQmBGebh9DL75G/LWp8I4H648fMWitsUomTWpahCkZqiG0u4MmZsbk7wvMm7rBb5xT8u4BgXC+KxoDWf+gSrDoGQnu2MmAQkB3Qn4jAafEZC7DjScS7/Vp1lw8DptSmeif43cussxt27oLlgcCgEhYDECsoBuMfTi2NoJdO3alaFDhxI3blwMf47qMrz5M378eKsNR+ubgpfvAsk7MGxR78zgqsRzdYYJ+eGpP7TeAumLWy0bESYEtCZw6+kbSo3yxsXJAb+hXp9tY7jw3EJGHR4VKmNKxSmUSVvmc0nbBsK+CeDRGmr8rrXkUPta1w1dgrAiJzKfWNFgiBQhYAcEio3Yzr3n71jTsRQF0iWKPqJZleDmEfhmNuStF317FVvIfKIizA+mZE5Rn6lYFAJCQCGBoPcwIg0EvYNOx+CrLLSecwTv8/cZXjcvTYtlUGj4824yn6iG8qMhmU/CUPRYfpLl/96kW+XsdKqYLewvw7+DF20P1ceoD18sCoGYRuDvanD9ANQw/LbVivCdH/KnTcjan0rrTkPmFN2Ri0MhYLMEZAHdZodOhGtNoHz58qxatYpEiRJh+HNUl2EB3dvbW2s5iu1rfVPgd/cFVSfsJqGbCycHVgnTOacGXNsD9WZC/oaKtUtHIWDrBN4HBZO9X9ibgof7ViR5/NgRQmq7pS2H7h4K/buMCTKystZKXJxcIoa9sAFc3ArVx0HRdrog0bpu6BKEFTmR+cSKBkOkCAE7IFBvyj6OXX/KlKaFqZ4v1ZcjMkxAI9NCwEvocAiS59SVgMwn6uOWOUV9pmJRCAgBhQTunoZppSMcNTV43Vlm77vG956Z6VM9l0LDn3eT+UQ1lB8NyXwShqLh9AMcvvqYiY0LUrvghx0UD8+Ejd0hR3Voslh9+GJRCMQkAu9ewOiMYTuVdj4JiTNy59kbSoz0xtEBTg368DKWjkxkTtERtrgSAjZOQBbQbXwARb4QiI6A1jcFO8/fp9WcI+ROlYCNnT+8Pbu6A5xYCBX6g2f36CTK50LArglE9abgs3fPKLu0LEEhQcSPFZ8XAS/o5t6NlnlbRuTxWx54fhNabYIMJXVhpXXd0CUIcaI6AckL1ZGKQSGgiECnxcdZd/I2favnop1n5i/beHodJuQDRxfoewc+fUhLkQLjO0ndMJ5VTGspuRHTRlzitUsCx+bD2p8gYxlouT40xHkHrjFgzVkq507BzOYeqoUtNUM1lHZnyNzcKD5iB3efv2VVh5IUSp84jM+FLbCoIaTMBz/stTtmEpAQ0JWA32ZY3AgSZ4LOJz66Lj3am5tP3jCvdVE8syfTVZK5dUNXseJMCAgBixKQBXSL4hfnQkB7AlrfFMw/6E//1WeolCsFs1p8+IK8cyTsGgXuLaHmRO2DFA9CwIoJ1Jm8jxM3njLtO3eq5U35Uen6K+vpvac3WRNlpXnu5gzYP4A4znFYX3c9yeJ8+PLw5imM/rD14a/XwO3DF3qN49W6bmgsX8xrREDyQiOwYlYImEhg1KbzTNt1mZYlMzKoVp4v9w7/ATh5buhwwERP5jeXumE+Q3u1ILlhryMrccUoAhu6wZFZUOInqDo8NPRdFx7Q4u/DZE8Rj62/lFUNh9QM1VDanSFzcuPt+yBy9t8cyuRY/8okiRsrjM89X5haAmIngl7+dsdMAhICuhLY9CscmgburaDmhI+uuy47wcpjt+hUISvdquTQVZI5dUNXoeJMCAgBixOQBXSLD4EIEALaEtD6piDSH3GPL4A1HSFLBWi2StsAxboQsHICPy74l01n7jKwZm5alcr0UW03n25s9d9Ku3zt+KnQTzTd0JQzj85QK0sthpcO+wEK/wMwuxokSANdfXWLVOu6oVsg4khVApIXquIUY0JAMYFIH16Mytre32H7IMhbH775W7FPpR2lbiglZ//9JDfsf4wlwhhAYFYluHkE6v8F+b4JDfj6o9d4jt2Jq7Mj54ZUw9GwP68Kl9QMFSDaqQlzcuPivRdU/n038V2dOTWoCoYjGkOvt89hVLqwP/e+Ca7x7ZSehCUEdCAwuRg8OA8N50Hu2h8dLjl8nV4rT1MsUxKWti+hg5D/XJhTN3QVKs6EgBCwOAFZQLf4EIgAIaAtAa1vCiLdRvTqbphbE77KBp2OahugWBcCVk5gyDpf/t53NcI5gAFBAZRZUobXga9Z/PVi8ibNy6kHp2i6sWloNAurLyR/svxhb3QY3uzIWhm+W6FbpFrXDd0CEUeqEpC8UBWnGBMCigl4n79H6zlHyZUqAZvCj8+JytrK7+HUUqjQDzx7KPaptKPUDaXk7L+f5Ib9j7FEaOcEggJhZFoIfAM//QtJs4YGHBgUHPpGb2BwCPt7VSB1IjdVQEjNUAWjXRoxJze2+96j7byj5EmdgA0/fziSMJzSqPTw9hl0OAjJc9klOwlKCGhO4Plt+M3w78cBfr0aYVfFyw9eUnH8rtAHrgwPsLg6O2kuJ9yBOXVDN5HiSAgIAasgIAvoVjEMIkIIaEdA65uC+lP386//E6Y0LUz1fKnCAnl8Ff4oCM6xoe9dCH+KV7swxbIQsFoCs/ZcYdiGc9QskJo/mxQK1bn31l5+3P4jyd2Ss63BNhwdHEP/vt/efqy5vIa8X+Vl4dcLcdzQHY7+BaU6Q+UhusWodd3QLRBxpCoByQtVcYoxIaCYgN/dF1SdsJsEsQ1vS1X9sp1pZeDuKWi8CHJ+rdin0o5SN5SSs/9+JuXG68fguxpe3IPyve0fjkQoBGyBwL2zMLUkxIoPva6DY9j3GcNVfpwPVx++YlHbYpTMmlSVaEyqGap4FCO2QsCc3Ph771WGrPeler6UTGnqHjHkqaXg3hlougKyVbYVHKJTCFgXgROLYfUPkLowfL8zgraQkBA8hm3n0asA/vmxJO4Z9Dmy0CDCnLphXYBFjRAQAloTkAV0rQmLfSFgYQJa3xQUH7GDu8/fsrpjKQqmSxQWbWAADEsOhED3ixDP8Ge5hEDMJLD+1G1+WnQcjwyJWfFjyVAIQw4MYfmF5TTM3pD+Jfp/BPPwzUNqrKrBq/evGFJyCHX3TIfrB6DuDCjQSDeAWtcN3QIRR6oSkLxQFacYEwKKCbx8F0jegVtC+58eVIX4sV0itxUcBMNTQdA7+Pk4JMms2KfSjlI3lJKz/34m5caDCzC5CDjFgp5XwTWe/QOSCIWAtRM4sQhW/wgZSkGrjRHUtpp9mJ1+DxhRNx/fFkuvSiQm1QxVPIoRWyFgTm4MWnuWOfuv8UPZLPTyyhkx5EWN4cIm+Po3KNLGVnCITiFgXQTCd8Mq0w0qDvhMW/v5R9ly9l7ovz/Dv0O9LnPqhl4axY8QEALWQUAW0K1jHESFENCMgJY3BQGBweTov4mQEDjStxLJ4rv+F8dvueH5LWjrDWk/eZJXs2jFsBCwPgKGHRoMOzWkSeTGvl4VCA4JptLySjx484CplaZSOk3pCKLnnJnD+H/HkyR2EtZfvUp8w7ZxP+yFlPl0C07LuqFbEOJIdQKSF6ojFYNCQDGBAoO38uzNezZ3KUPOlAkit/PwEkxyB2c36HM7wtuBih2b2FHqhonAYlBzk3LD8GVjYgF46g9NlkAOrxhESkIVAlZKYGNPODwdineEaiMiiAxflPzeMzN9qquz9bVJNcNKkYksbQiYkxtffNjDsBvckZlQ+heoNEgb8WJVCNgzAcP92/gc8PIetFgHmTw/izZ8x8ZKuZIzq0UR3WiYUzd0EymOhIAQsAoCsoBuFcMgIoSAdgS0vCm48fg1ZcbsJJazI35Dq+Hw/1u1/1UVbhyEBnMgT13tAhTLQsDKCdx59oYSI71xdnTAb5gXvo/O8O3Gb4nrEpfdjXYTy/A21f9d74PeU29tPa49v0bzZ8/p8eQF9L0Dzv/3gIrGMWtZNzSWLuY1JCB5oSFcMS0ETCRQfeIefO88568WHlTMlSLy3r5rYVkzSFUQ2u8y0YM6zaVuqMPRHq2YnBsbusGRWeDRBmr8Zo9IJCYhYFsE/qoCNw5FulPW3P3XGLj2LFVyp2BGcw9V4jK5ZqjiVYzYAgFzcqPCeB+uPHjFwrbFKPXpcQP7JsK2AZCvAdSfZQsoRKMQsC4C93xhaglwiQO/Xov0N62TN55Se/I+EsVx4Vi/yjg6OugSgzl1QxeB4kQICAGrISAL6FYzFCJECGhDQMubggOXH9Fk5kEyJY3Lzu7lIgbwT1s4vTzs3GbD+c1yCYEYSiAwKJjs/TYRHAKH+lRk6aUZzDw9k6oZqzKu7LhIqYSfke4cEsI/r93I3OGIrvS0rBu6BiLOVCUgeaEqTjEmBMwi0G7eUbb53mNo7Tw0K5Excls+o8FnBBT4FupONcuf0s5SN5SSs/9+JueG32ZY3AgSpYfOp+D/H9y1f1wSoRCwLgKGI0JGpoX3r6HjYUiWI4I+H7/7tJx9hOwp4rH1l7KqaDe5ZqjiVYzYAgGluREUHEKu/psJCApmT8/ypEsSJ2K4Z1bCilaQrji0CTs6Ry4hIARMIHBgMmzpA1krwXf/RNrxfVAw+Qdt5c37ILb+4kn2FPFNcKC8qdK6odyj9BQCQsBWCcgCuq2OnOgWAkYS0PKmYMW/N+m+/CSlsyZlQdtiERXtGAJ7xkORdvB15IuERoYgzYSAzRMoMXIHd569ZVWHkgw53ppLTy8xqswovs78dZSxdVr+NT6vr1PSMQHTvtsbcYcHjYloWTc0li7mNSQgeaEhXDEtBEwkEL49bvuymentFcX2uMtagO9qqDwUSv1sogd1mkvdUIejPVoxOTcCXsHojBAUEOmCnT0ykpiEgNUSuH8ephQDl7jQ+wY4OkWQ6v/oFWXH+uDq7Mi5IdVUeaPQ5JphtfBEmNoElObGradvKDXKGxcnB84P9cLp0zdfbxyBvypBgrTQ9azassWeELB/AgsbwMWtUGUYlOwUZbxNZx1k36VHDK+bl6bFMujCRWnd0EWcOBECQsCqCMgCulUNh4gRAuoT0PKmYOL2i/y+/QKNPNIx+pv8EcUfnQ3ru0D2avDtUvUDE4tCwIYI1Juyj2PXnzK0fgrG+LbC2cGZXY13kSBWFOfWAtdXNKPOy+O8d3BgYvmJVEhfQbeItawbugUhjlQnIHmhOlIxKAQUEwg/L7BG/lRM+rZw5HYmFYWHftD0H8hWSbEvczpK3TCHnn33VZQb8+rAlZ1QZTiU/Mm+AUl0QsCaCZxcAqvaQ/oS0HrzZ0oNO3Dl7L+ZwOAQDvSuQKqEbmZHo6hmmO1VDNgCAaW5sf/yQ76deSjyHRUNgb+4G3Z+s4Mj9LsPTi62gEM0CgHrIBAYEPbg4/tX8MM+SJk3Sl2/b7vAxB0XqVMwNRMaF9JFv9K6oYs4cSIEhIBVEZAFdKsaDhEjBNQnoOVNwa8rTrH06A26Vs7OzxWzRRR/aTssqA/Jc0OHA+oHJhaFgA0R6LjoGBtO3aF6aT/2PJpNsVTFmFUlmnPUppZmYsB1ZiVKSNp4aVldZzWuTvqcg65l3bChYROpnxCQvJCUEALWQ2DT6Tv8uPAYhdInYlWHUp8LC3wHI1JDcCD84gsJ01hEvNQNi2C3CaeKciN8K9DM5aD5GpuIU0QKAbsksKkXHJoKxX4Ar9GRhlh+nA9XH75iUbtilMyS1GwMimqG2V7FgC0QUJobS49c59d/TlM2ezLmti76eajBwTA8RdjOJ4ajQxLr82asLTAXjUIgWgLX9sKcryFuMuh2ARwdo+yy79JDms46RJpEbuzrpc+LI0rrRrRxSwMhIATsjoAsoNvdkEpAQiAiAS1vCr6bdYi9lx4yrkEBvnFPG9Hxw4swyQNixQ/b1k3OKZTUjMEEhq33Zdbeq2TON4cHgefpVbQXTXM1jZpI0PvQhY/Xwe+pmbMA998+5udCP9MufztdKGpZN3QJQJxoQkDyQhOsYlQIKCJw6uZTak3aR/L4rhzuG8nb5ffOwtSS4JoQevlb7D5M6oai4Y0RnRTlRvj3C6dY0PMquMaLEawkSCFgdQT+9oLr+6HONCjYJFJ5LWcfxsfvASPr5aNJ0fRmh6CoZpjtVQzYAgGluTFm83mm+FymeYkMDKkdxduxEwvCk6vQciNkjOSBRVsAJBqFgCUIeA+D3WMhXwOo/+WXR169CyT/4K0EBYewv1cFUicyf9eS6EJWWjeisyufCwEhYH8EZAHd/sZUIhICEQhoeVMQ/lT54nbFKZHlq4jk37+B4SnD/u7Xa+CWWEZGCMRYAn/tvcqwTUeIl30YEMKW+ltIHS911DzCzxWMFY8NjabTa29v3JzdWFtnLSnjfvh3pSFNLeuGhrLFtMYEJC80BizmhYAJBB69fIf7sO2hPfyGVcPVOeL5s5xeAf+0gXTFoM1WEyyr21Tqhro87cmaotwICYGJBeCpPzRZAjm87AmJxCIEbIOA4a3cUekg4CV0OAjJc0Wqe9Das8zZf432npnpXT3yNqYErKhmmOJA2tosAaW5Eb5LXL+vc9G2TObI459TA67tgbrToUBjm2UkwoWA7gRmVoRbR6H2FCj0hZdHPgirPWkvJ28+Y2LjgtQuqP3OWUrrhu4cxaEQEAIWJyAL6BYfAhEgBLQloNVNQXBwCDkHbCYgMJg9PcuTLkmczwMZmxVePYD2eyDVJ2ekaxu2WBcCVkXAsNVup/UzcEu9glxJcrGs5rIv6zvzD6xoDWmLENJmGy02t+D4/eN4ZfJijOcYzWPTqm5oLlwcaEpA8kJTvGJcCJhEICQkhFwDNvP2fTA+3cuRMWnciP13DIE948G9JdScaJJtNRtL3VCTpn3ZUpwbG7rBkVng0QZq/GZfUCQaIWALBB5cgMlFwNkNet8EJ+dIVc/Zd5VB63ypmicF05t5mB2Z4pphtmcxYO0ElOZGzT/3cvrWM2Y0c6dKnigeUl/dAU4shAr9wLOHtaMQfULAOgi8eQJjMkNIsNFHSQ1d74vhxZPviqdnWJ18msehtG5oLkwcCAEhYHUEZAHd6oZEBAkBdQlodVPw4MV8t3AdAAAgAElEQVQ7igzfHroz+4VhXrg4RXKezYzycPsYNFoIuWqoG5hYEwI2ROD49Sc0WfsDLvF96VCgAz8W/PHL6ncMhT3joHALqPUHvo98aby+MSGEMKfaHNxTuGsavVZ1Q1PRYlxzApIXmiMWB0LAJAIVx/tw+cErFrYtRqmsn5wvu7gJ+G0ErzFQrL1JdtVsLHVDTZr2ZUtxbvhthsWNIGF66HLKYscT2NdoSDRCwAQCp5bBynaQtii03RZlRx+/+7ScfYQcKeKz5RdPExxE3lRxzTDbsxiwdgJKcyP/oC08fxvIli6e5EgZP/Iwd46EXaM+fi+3dhaiTwhYBYFz62Dpd5A0O/x0xChJm8/c4YcFx8iZMj6bu5g/Z0TnVGndiM6ufC4EhID9EZAFdPsbU4lICEQgoNVNwYkbT6kzeR8pE8TmYJ+KkVNf1gJ8V0O1UVA8mgVDGTchYMcE/B8/5es1FXBwfM+S6kvJkyz3l6ONZOFj8IHBrLiwghyJc7C0xlKcHD/ZrldFflrVDRUliikLEFCUF0HvIfCdnFNrgfESl/ZPoPnfh9l94QFj6uenYZF0EQM2bHP95Bq0WAeZtP8RKiraiuqG/Q+dRAgozo2AVzA6IwQFQMfDkCyH8BQCQkBPAlv6woFJUPR7qD42Ss/XHr6i3DgfYrs44ju4Go6ODmapVFwzzPIqnW2BgJLcePo6gIJDwh4AOTekGm6xovhufWw+rP0JslSEZittAYdoFAKWJ7C+Kxz9C4q2h+rG7aD48OU7PIaFvaR1on8VEsZx0TQOJXVDU0FiXAgIAaslIAvoVjs0IkwIqENAq5uCDafuYDgzyj1DYv75sWTkYrf2g/1/QvGOUG2EOgGJFSFggwR2+HvTxaczwQGJ2NZgC6kTRXLkwf/HNSF/2PmeLdZDpjKhnzx++5gaq2rwIuAF/Yv3p2GOhpqR0KpuaCZYDOtCwOS8ODgNfEZC8Q5Q7lddNIoTIRCTCPReeZrFh6/zc8VsdK2c/b/QDQuMIwxnB4ZAj8sQ95O303WEZHLd0FGbuLIsAbNyY14duLITqgyHkj9ZNhDxLgRiGoHZX4P/Xqg9GQp9F2X0gUHB5Oy/mcDgEA70rkCqhG5mkTKrZpjlWTpbOwEluXHyxlNqT95H8viuHO5bKeoQr/jAvNomvUlr7bxEnxDQnMAfheHxZWi8GHJWN9pdhXE+XHn4ir9belAhZwqj+ylpqKRuKPEjfYSAELB9ArKAbvtjKBEIgS8S0OqmYMbuy4zYeJ5aBVLzR5NCkWs4NAM29YCcNaDxQhkpIRBjCQzYN4BVl1YR8Lgki+qNCn3wJMrr3QsYmTbs455XIU6Sj00XnlvIqMOjSOSaiPV115PQNaEmTLWqG5qIFaO6ETA5L44vhDUdIHke6LBfN53iSAjEFAKTvC8ybusF6hdOy/iGBf4L+9YxmFke4iaDHpcsisPkumFRteJcTwJm5caBybClD2QuB83X6ClbfAmBmE0gOBhGpYeAF/DDPkiZ94s8yo3dybVHr1ncrjglsnxlFjuzaoZZnqWztRNQkhvrTt6m0+LjFMmYmOU/RPFCiCHwR5fhz8Lg7AZ978ixIdaeDKLP8gSeXocJ+cDBCX69BrETGK3p1xWnWHr0Bj+Wy8Kv1XIa3U9JQyV1Q4kf6SMEhIDtE5AFdNsfQ4lACHyRgFY3BYPWnmXO/mtfvrEJP6MwVQFov1tGSgjESAJBwUFUWF4h9A3y1/5t+aNOQ77OnypqFjeOwF+VIF5K6O4XoV1gcCAN1jXg0tNLNMnZhD7F+mjCVKu6oYlYMaobAZPz4vVjGJcNggPhp38haVbdtIojIRATCKw6fpNflp6keOYkLPm+xH8hhz+8krEMtFxvURQm1w2LqhXnehIwKzceXoRJHuAUK+xhQ9d4ekoXX0Ig5hL4uJgYG3rfAifnL7JoOfswPn4PGFkvH02KpjeLm1k1wyzP0tnaCSjJjck7LzF2i9/nDyF+Guz7tzD8w5uwPa5AXPMeBLF2lqJPCJhN4N+5sO5nSFcM2mw1ydzyozfoseIUHhkSsyKqnU5Nshh1YyV1QyXXYkYICAEbIyAL6DY2YCJXCJhKQKubgrZzj7L93D2G1slLs+IZIpd17yxMLQluSeDXq6ZKl/ZCwC4IHL9/nOabmuNMHJ6c60u/r/PStkzmqGP7dw6s6wxZKkCzVZ+1O3TnEG23tsXRwZHlNZeTPfH/bdurEjGt6oZK8sSMhQgoyov59eDyDqg4AMp0s5BycSsE7JPA4auPaTj9AOmSuLGnZ4X/gvx4Pq3x5w5qRUhR3dBKjNi1KgJm5UZICEwsEHbcTZMlkMPLqmITMULAbgmcXgH/tIE0HtBuR7Rhhj90375sZnp75Yq2/ZcamFUzzPIsna2dgJLc6LniJMuO3uSXStnpXCnbl0Mclx1e3oPvfSB1FLsvWjsk0ScE9CKwvBWcXQlle0H53iZ59X/0irJjfYjl5MipQVWI7eJkUn9TGiupG6bYl7ZCQAjYDwFZQLefsZRIhECkBLS6KfCauIdzd54zu2URyudMHjn9t89hVLqwzwxPqMvbIZKlMZDAb0d/Y/bZ2WRwLc2ZEzVoXSoTA2rmjprExp5weDqU+AmqDo+0XVefrmzz30aRlEX4q8pfODg4qEpWq7qhqkgxpjsBRXkR/gS67ESi+3iJQ/sncOvpG0qN8sbZ0QG/YV44OX6YC6aWhnunoz2fVg9CiuqGHsLEh8UJmJ0bG7rBkVng0Rpq/G7xeESAEIgRBLb2g/1/gkcbqPFbtCHP2XeVQet8qZonBdObeUTb/ksNzK4ZZnmXztZMQEluNJp+gENXHzOhUUHqFErz5fBmVoBb/0KjBZCrpjWjEG1CwLIEDMd8jMsKrx9B6y2QvrhJekJCQig6YgcPXrxjWfsSFM3033GGJhkyorGSumGEWWkiBISAHRKQBXQ7HFQJSQj8PwGtbgoKDN7Kszfv2fqLJ9lTxI8a+qgM8PYpdDgIyc176lxGVgjYGgHDF4Caq2vi/9yfGil7snhnErzypmTqd+5RhzKnBlzbA7WnQKGmkba7/fI2tVbX4l3QO8aVHUfVjFVVRaNV3VBVpBjTnYCivHj1KGwb95Ag+PkEJMmku25xKATslUBgUDA5+m8mKDiEA70rkCqhG4Tv/uPoAt0vQBztfngyhquiumGMYWlj8wTMzo3wo6ISpocup+RcWpvPCAnAJgjMrQlXd0OtP6Fw82gl7/S7T6vZR8iZMj6bu3hG2/5LDcyuGWZ5l87WTEBJbpQYuYM7z96yskNJCqdP/OXwlrUA39VQdSSU6GDNKESbELAsgTsnYbonxIoftgupk4vJejouPMaG03foUTUHHctrdwSckrphcjDSQQgIAbsgIAvodjGMEoQQiJqAFjcFL98FknfgllCnZwZXJZ7rF84+m1Ya7p6Gb5dD9ioyVEIgRhG48vQKtdfUxsXRhQH5V9Bl8TkKpkvE6o6lIudg2JJ0TGZ48zjaLeKmnJjC1JNTSRk3JWvrrMXN2U01tlrUDdXEiSGLEVCcF3NrwdVdUHkIlOpsMf3iWAjYIwHDG+iGN9H/+bEE7hmSwLYBsG8i5KwBjRdaPGTFdcPiykWA1gTMzo2AVzA6IwQFQMfDkCyH1pLFvhCI2QQM31NGGx6Ofwbt90Cq/NHyuPrwFeXH+RDbxRHfwdVwDN8pJdqenzcwu2Yo8CldbIOAqbnx9n0QuQZsxpDS//arxFfxXL8caPjROMU7QrURtgFFVAoBSxDYOwG2D4TsXvDtEkUKZu+7yuB1vpTLkYw5rYoqsmFMJ1PrhjE2pY0QEAL2SUAW0O1zXCUqIfCRgBY3BX53X1B1wm4SurlwcmA0i+KLvwW/DVB9HBRtJyMjBGIUgVmnZzHx2ERKpSnFjzlGUXvyPlIkcOVQn0qRc3hxF8bnAAdH6HMbXKJeFH8T+Ibaq2tz59UdfijwAx0LdlSNrRZ1QzVxYshiBBTnhWGLXcNWu2ncoZ23xfSLYyFgjwQMZ6AbzkKf2LggtfOngt/zwIvb0HA+5K5l8ZAV1w2LKxcBWhNQJTfm1YErO6HKcCj5k9aSxb4QiNkEHl+BPwqBU6yw49mcY0XL431QMDk/7JRysHdFUiaMHW2fqBqoUjMUe5eO1kzA1Ny4dP8llX7bFfoiyOlBVaI/Du3QdNjUM2z7dsM27nIJASEQOYF5teGKD1QbDcV/UETpzK1n1PhzL/FjO3NiQJX/jqhSZC3qTqbWDZXdizkhIARsiIAsoNvQYIlUIaCEgBY3Bd7n79F6zlFyp0rAxs5lvixrUy84NDXsrUPD24dyCYEYRKDpxqacenCK/sX7Uy51LYoO34HhuPILw7xwcXL8nMSlHbCgHnyVFTr9Gy2prde20m1XN1ydXFlTZw1p4kVzflu0FsMaaFE3jHQtzayYgOK8eHEv7MEQQqDLaUiU3oqjFGlCwLYIdF16gpXHb9GzWg46ZLgNhu11YyeEbhfARflChVoUFNcNtQSIHasloEpuHJgCW3pD5nLQfI3VxirChIBdEDizEla0gtSFwnbKMvIqO3Yn/o9es7hdcUpk+crIXp83U6VmKPYuHa2ZgKm5YdLvWYbAz2+AJd9CqoLQfpc1oxBtQsByBN6/AcMRnkHvzNoZyHBEVcEh2zDsfLrx5zLkTp1Ak5hMrRuaiBCjQkAI2AQBWUC3iWESkUJAOQEtbgrmH/Sn/+ozVM6dgpnNPb4s7sBk2NIH8tSDBrOVByI9hYCNEXj45iEVllUghBB2NNhB0tjJyNF/E++DQtjXqwJpEkXydvn+P2FrP8hVCxrNjzZiwxnrbbe25fDdw1TOUJnfyv0WbR9jGmhRN4zxK22sm4BZeTG7Ovjvg6ojoIR6uyVYNzFRJwS0JzB+qx9/el+iabH0DHecBscXQOEWUOsP7Z0b4cGsumGEfWliuwRUyY2HF2GSR9gbsT2vgms82wUiyoWAtRPYNhD2TQD3VlBzgtFqW/x9mF0XHjCqXj4aF1X+EKUqNcNo1dLQlgiYmhvhW0R75U3J1O/cow/1zimYXgbiJIWel6NvLy2EQEwkcHknzK8D8VNDV19C3xxReDX76xB7Lj5kSO08NC+RUaGVL3cztW5oIkKMCgEhYBMEZAHdJoZJRAoB5QS0uCkYtek803ZdpmXJjAyqlefL4nzXwrJmkMYD2u1QHoj0FAI2RmDFhRUMPjCYvF/lZXGNxaHqS4/25uaTN6z4oQQeGZN8HtGqH+HkIijXG8r1MiriC08u0HBdQ4JCgphZZSbFUxU3qt+XGmlRN8wWJQYsTsCsvAjf+jBdcWizxeKxiAAhYC8Elhy+Tq+Vp6mcLQEz738L755Dy42QsZRVhGhW3bCKCESEVgRUyQ3DAbYTC8BTf2i8GHJW10qu2BUCQiB8a96aE8G9pdE8Bq45w9wD/rQvm5neXrmM7vdpQ1VqhmLv0tGaCZiaG4PWnmXO/mu098xM7+pG5OSbJzD6wyJenzsQK4414xBtQsAyBMIfsirwLdSdapaGP3dcZPy2C9TIn4pJ3xY2y1ZUnU2tG5qIEKNCQAjYBAFZQLeJYRKRQkA5AS1uCjotPs66k7fpWz0X7Twzf1nc7RMwoyzESwHdLygPRHoKARsj0HFHR3bf3M3PhX6mXf52oeobTjvA4WuP+aNJIWoVSP15RNM94c5Jk8+uHXloJIvOLyJroqwsq7kMF0cXs2hpUTfMEiSdrYKAWXnx/Db89uEHqq7nIEEk+W8VUYoIIWBbBPZcfECzvw7TJvEJ+r8ZAwnTQedT4BjJMSEWCM2sumEBveJSPwKq5caGbnBkFni0hhq/6xeAeBICMYmA4WEVwwLi26dh27cbtnE38gp/27danpRMa2bE275R2FWtZhipW5rZDgFTc6P1nCN4n7/P8Lp5aVosQ/SBGvJ/ZFoIeAk/HYWk2aLvIy2EQEwjEP5bVr2ZkL+hWdEfuPyIJjMPkiKBKwd7V8TBjLfZoxJiat0wKyDpLASEgE0TkAV0mx4+ES8EoiegxU1BvSn7OHb9KVOaFqZ6vlRfFvH6MYzJFNam7z2rOI8zemrSQgiYR+D1+9eUWVKGgOAAVtVaRdbEWUMNdl5ynDUnbtOnek6+98wS0UlwEIxIDYFvodMx+OqTz78g6dm7Z9RYVYOn757Sq2gvmuZqalYAWtQNswRJZ6sgYHZe/FUFbhwCr7FQ7HuriElECAFbJ3DlwUsqjN/F367jqeDwL5TpBhUHWE1YZtcNq4lEhKhNQLXc8NsMixtBwvTQ5ZRZW4aqHaPYEwJ2Q+CJP0zMD4aHdPvcAmdXo0Pbef4+reYcIWfK+Gzu4ml0v08bqlYzFCuQjtZKwNTcaDX7MPsuPeLvlkUonS2pcWFNLg4PzsF3KyFrReP6SCshEFMIvHoEYw2/X4VA94sQL7lZkb8JCCL/4C2hxx/u6VmedEnU3/XB1LphVkDSWQgIAZsmIAvoNj18Il4IRE9Ai5uC4iN2cPf5W9Z0LEWBdIm+LMLwtO6INPD+Ffz0LyQNW0iUSwjYM4Ft/tvo6tOVdPHTsaHuho9PzI7cdI7pu65EfvxB+Dmezm5hP0w5OpmEaPmF5Qw5MIT4LvFZX289SWJHskW8kRa1qBtGupZmVkzA7Lw4MBm29IEMpaHVBiuOVKQJAdsh8PZ9ECX6L+Owa0dcHIKgwyGOBL9g0blF9C7Wm+RxzPsBy1wSZtcNcwVIf6sloFpuBLwKezM2KAA6HoZkOaw2ZhEmBGyWgO8aWNYcUhWA9rtNCuPqw1eUH+eDm4sTvkOqKn6TULWaYZJ6aWwLBJTkRlBwSGhoTo5GntO84Bu4tA1MPMLAFviJRiFgNoEzK2FFK0ieBzrsN9ucwUDdKfs4fv0pvzUsQL3CaVWx+f9GlNQN1UWIQSEgBGyCgCyg28QwiUghoJyA2jcFAYHB5Oi/CcO6+JG+lUgW34inz8Of1m22CrJUUB6M9BQCNkKgz54+rLuyjua5m9OjSI+Pqufuv8bAtWepmicF05t5RIwm/Icpw5aIhq0RTbyCgoNosqEJ5x6fo362+gwqOchEC/81V7tuKBYiHa2KgNl58fQ6TMgHOIQd6WHmk+lWBUfECAELEhg1pDu9gmfyJmleXDvuodbqWvg/96dlnpZ08+hmQWVgdt2wqHpxriUBVXNjfl247A1VhkPJn7SULbaFQMwksKYjHF+g6KiE90HB5Oy/GcOC5aE+FUmRILYihqrWDEUKpJO1EtAlN9b/Akf/Bs8eUKGftaIQXULAMgTWdoJj86DET1B1uCoaRm48x/TdV2hSND0j6xl+Q1D30qVuqCtZrAkBIWAhArKAbiHw4lYI6EVA7ZuC649e4zl2J67OjpwfWs24J8gXNoCLW6HmH+DeQq/QxY8QsAiBwOBAyi0rh2Fb9dlVZ+OR8r+F8q1n7/L9/H8pkDYha34qHVHfzpGwaxQU/A7qTFak/di9Y7TY3AIHHFhcYzF5vsqjyI7adUORCOlkdQRUyYsZ5eH2Mfj6NyjSxupiFEFCwBYJnB9WnJyB5ziXvzePipXmx+0/hoaRIUEG1tVZZ9y9mkaBq1I3NNImZi1LQNXcODAFtvSGzOWg+RrLBibehYC9ETDs8jAue9j5z602QYaSJkdYduxO/B+9Zsn3xSme+SuT+xs6qFozFCmQTtZKQJfc2DMedgyB/I2h3nRrRSG6hID+BAxvV03ID8+uQ9MVkK2yKhq2+d6j3byjZE0ej+1dy6pi8/+N6FI3VFctBoWAELAEAVlAtwR18SkEdCSg9k3B/ssP+XbmITInjYt393LGRbK+Kxz9S57WNY6WtLJxAkfuHqH1ltYkck3EzoY7cXZ0/hjR6ZvPqDlpb+jODYYdHCJcS7+Dc+ug6ggo0VExhV93/8rGqxspmKwg87zmKVo4UbtuKA5GOloVAVXyYu8E2D4QMpWFFmutKj4RIwRsksCjy/BnYYJCHFjquZW9IXPYc2vPx1DW1FlD5oSZLRaaKnXDYurFsZYEVM2N8GNwnGJBz6vgGk9L6WJbCMQsAieXwKr2kDgj/HwCHIzc8vr/KDX/+zC7LzxgdP18NCqSXhE/VWuGIgXSyVoJ6JIbp5bDyrZyFJW1JoHoshyBD99FMNyD/XoNYsVVRcuTVwEUGrot1Nax/pVJEjeWKnbDjehSN1RVLMaEgBCwFAFZQLcUefErBHQioPZNwYp/b9J9+UlKZ03KgrbFjIsifMEkfyOoN8O4PtJKCNgogdGHR7Pg3AJqZ6nNsNLDIkTx8OU7PIZtD/3dyW+oF7GcHf/7/I/C8PgyNFsNWcorjv7eq3vUXF2TN4FvGFlmJDUy1zDZltp1w2QB0sEqCaiSF4+vwB+FwMEJul+EuMreQrJKQCJKCFiCgM8o8BnJrqD8bHAfzOZnXQghhKyJsnLp6SW6FO5Cm3yW2+1BlbphCa7iU3MCquaG4e2niQXgqT80Xgw5q2uuXxwIgRhDYG5NuLobyveFsj0VhT1wzRnmHvDnh7JZ6OWVU5ENVWuGIgXSyVoJ6JIb1w/C31UhUXroctpaUYguIaA/gSOzYEM3yFgGWq5X1X/l33Zx8f5LZjRzp0qelKra1qVuqKpYjAkBIWApArKAbiny4lcI6ERA7ZuCidsv8vv2CzTySMfob/IbF8WZf2BFa0hfElpvMq6PtBICNkggJCQEr5Ve3Hp5iwnlJ1AxfcUIURg+z9FvMwFBwezpWZ50SeKEfR7wGkakBkLCFhXNPBt61ulZTDw2kWRuyVhXdx1xXUx7CljtumGDQymSIyGgWl5MKwN3T0GtP6Fwc2EtBISAUgKGRcM/DQ9fXaFLQAd8cwRwh62UTlOasmnLMvzQ8NDdSOZXn6/Ug9n9VKsbZisRA9ZGQPXcMPx4a/gR16M11Pjd2sIVPULANgk8vQ4TPpw9a1g0NCweKrj+3nuVIet98cqbkqnfuSuwIFu4K4IWQzqpPp9Exu3ZTfg9Dxh2l+t3HxydYghdCVMIREMgfCfFCv3Cdh1V8eq98jSLD1/ne8/M9KmeS0XLMqeoClOMCQE7JyAL6HY+wBKeEFD7y0TPFSdZdvQmXStn5+eK2YwDfOMI/FUJEqaDX84Y10daCQEbJOD32I9v1n2Dq5MruxvtJo7LhwXy/4vFc8xOrj9+zbL2JSiaKUnYJ7eOwczyECcp9LxsduTvgt5Rd01dbry4QZu8beji3sUkm2rXDZOcS2OrJaBaXuweB95DIWsl+O4fq41XhAkBqydw8yjMqkiQkxv5Xv+Gc44JhDi8YUrFKWRLnI3KKyrjgAPeDb1J6pbUIuGoVjcsol6caklA9dzw2wyLG0FCw9uBpxRtM61lvGJbCNgkgV1jYOdwyOQJLdYpDmHn+fu0mnOEnCnjs7mLpyI7qtcMRSqkkzUS0CU3goNgaDIICYJffCFhGmtEIZqEgL4EDP8uxmSCt8+grTekVfaAVFSiVx2/yS9LT1IwXSJWdyylamy61A1VFYsxISAELEVAFtAtRV78CgGdCKh9U/DdrEPsvfSQ8Q0KUN89rXFRvLgL43OAg2PY07pOLsb1k1ZCwMYITDs5jcknJlMubTn+rPhnpOobTT/AoauPmdi4ILULfvjifXwBrOlo9o9T/+/Q54YPnbw74eLowqraq8iQIIPRNNWuG0Y7loZWTUC1vHh4CSa5h73B0eMSuCW26rhFnBCwWgIbe8DhGTzNWpciN9MRO9Vq0sdPH7rziKODIw3XNeTc43MMKTmEutnqWiQM1eqGRdSLUy0JqJ4bAa9gdCYIegcdD0OyHFrKF9tCwP4JGHY5+aMgPLkGdadDgcaKY77y4CUVxu/CzcUJ3yFVcVBwjrrqNUNxNNLR2gjolhu/54Nn16H1Fkhf3NowiB4hoD+BDw/zEjsh9Lyq+s4MNx6/psyYnTg7OnB6UFXcYqm384NudUP/URGPQkAIqExAFtBVBirmhEB0BKZMmcLYsWO5c+cOefLkYcKECZQpUybSbjNnzmTevHmcORP21ra7uzsjRoygaNGi0bn5+LnaNwXlx/lw9eErFrcrToksRp5dGxwMw1OG/aDV+RQkNn4hz+hApaEQsAICjdY3wveRL4NLDqZetnqRKvpl6QlWHb8Vev6f4RzA0GtzHzg4GYr9CF6jVInEsF38jzt+ZN+tfaFb+U6qOMlou2rXDaMdS0OrJqBqXkwpAfd9oc5UKPitVcct4oSAVRIIeh/2cOLrR7z8ZglF943HKfY9uhTqTpv8LUIlTz05lSknplAuXTn+rBD5Q11ax6Zq3dBarNjXlYAmuTG/Llz2hirDoGQnXeMRZ0LA7gj474fZXhArHnS/ALFMOxLq/3kEBAaTa8BmgoJDONSnIikSxDYZlyY1w2QV0sEaCeiWG7Org/8+qP8X5PvGGlGIJiGgL4HdY8F7GOSqCY0WqO7b8JtWyVHe3Hn2lkXtilEyi3o7aulWN1SnIgaFgBDQm4AsoOtNXPzFaAJLly6lWbNmGBbRS5UqxfTp05k1axa+vr6kT//5eWJNmzYNbVeyZElix47NmDFjWLlyJWfPniVNGuO2jFLzpiA4OIScAzZj+AIc4fxmY0b1D8MZnZeh5QbIWNqYHtJGCNgUgbuv7hq1Xe7ozeeZ6nOZFiUyMLh23rAY59WGKz6qnwl95dkV6q+pT2BIIJMrTsYzrXFbJqpZN2xqEG1QrJ4PZamaFz6jwGckZK8G3y61QfIiWQhYmED4dtVxk3Po27m03d6ekOBYLKyyngJpUoWKO//4PA3WNSC2U2x2N96Nm7Ob7qJVrRu6q49ZDvWcTwxkNcmNA1NgS2/IVBZarI1ZAyjRCgG1CRh2xzLsklXoO6g92Wzr4cdYLf2+OMUyG/kg/v951aRmmB2VGIiMgF3MJ5EFtrI9nFoCFQdCmeOp1pAAACAASURBVK4y+EJACMz+Gvz3wte/QZE2mvDotPg4607eNu0YUSOUyJxiBCRpIgSEQCgBWUCXRBACOhIoVqwYhQsXZurUqR+95sqVizp16jBy5MholQQFBZE4cWImTZpE8+bNo22v9o9T91+8pejwHTg6gN8wL1ycHI3SENoofIFQ3jY0npm0tCkCS84vYfih4RRMVpD51edHqX3+gWv0X3OWyrlTMLO5R1i7sdng1X1Nzo0ad2Qcqy+vpl+xflTLVM0opvJlwihMFm+k90NZqubF/XMwpTg4xYIelyF2AovzFAFCwKYILG8FZ1dC8Q50jvUa7xveBDwpznSv4ZTLkTw0FMNbG1X/qcqdV3f4o/wflE9fXvcQVa0buquPOQ71nk/U/o7ycaQeXoRJHmFzi2ErUdd4MWcQJVIhoCYBw5EI47JDwEtotQkylDTbevO/D7P7wgNG189HoyKfvzwQnQOZT6IjZB2f2818EhnOHUNhzzjwaAM1frMO4KJCCFiKgGGeGJUBgt9Dp2Pw1YfdFVXWE/77WZlsSZnfpphq1mVOUQ2lGBICdk9AFtDtfoglQGshEBAQQJw4cVi+fDl16/53DmXnzp05ceIEu3btilbqixcvSJ48eaiNGjVqRNr+3bt3GP4Lvww3BenSpePZs2ckSGDeAsWJG0+pM3kfqRLG5kDvitHqjdBgbSc4Ng/K9YFyv5rWV1oLARsg0H5be/bf3k9X9660ytsqSsXbfe/Rdt5R8qVJyLpOpeHVQxhr+LLhAH1umbU9YmROX71/xfug9ySKnchoivJlwmhUFm2o90NZquaF4VzNyUXh4QWoNwvyN7AoS3EuBGyKwNvnMC4bBL7ldrMVeO3rTnBIMK8u/8LQryvStNh/R+WMODSCxecXhx4rYjheRO9L1bqht/gY5E/v+cSAVpPcMMwtEwvAU39ovBhyVo9BoyihCgEVCZxcAqvaQ+KM8PMJUHBm+adqBqw5w7wD/vxYLgu/VstpslhNaobJKqRDdATsZj6JLNB/58C6zpCtCjRdHh0K+VwI2DeBi9tg4TeQKH3YUZ0qzBORATt35zleE/cQN5YTJwdWwdmUF7m+MAIyp9h3ekp0QkBNArKAriZNsSUEvkDg9u3boduu79u3L3RL9vDLcKb53Llz8fPzi5Zfx44d2bJlS+iZ6IYt3SO7Bg0axODBn/9AqsYC+oZTd+i46BjuGRLzz48mPoW+ayzsHKbaFnDRwpIGQkBHAi8CXuC51JPA4EDW1VlHxoQZo/R+5tYzavy5l6TxYnG0X2W4sgvm1YLEmaDzCR1VR+1KvkxYxTB8UYQeD2Vp+UBWaHCG89IM56blrAGNF1o/dFEoBKyFwPGFsKYDJM3Ob8WbMPvsbJI55+XK6e/oUC4LPf9vYeLA7QN8v+17ksROgncDb5wcnXSNQuYTXXErcqbHfBKZMM1yY0M3ODILPFpDjd8VMZFOQiDGE5hbE67uhvJ9oWxPVXD8tfcqQ9f74pU3JVO/czfZpmY1w2Ql0iEqAnrNJ5p/R4kqwEvbYUF9SJYLOh6URBACMZvAxh5weAYUbgG1/tCMheEo0QJDtvLibSDrO5Umb5qEqviSOUUVjGJECMQIArKAHiOGWYK0BgLhC+j79++nRIkSHyUNHz6c+fPnc/78+S/KNJx/PmrUKHx8fMifP3+UbbX8MjFj92VGbDxPrQKp+aNJIdOwhj/FnskTWqwzra+0FgJWTmDT1U303N2TTAkzsbbOl8/cfPwqgMJDt4VG5DesGq5HZ8DmXla1iChfJqw84QA9HsrS8oGsUMJ3T8O00uAcO2wbd9lq1/oTTxRaB4G5teDqLt6W60Wluxt49u4Z1ZP3ZumuhNQumJqJjf+7RzPsQGJ4wOvl+5fM95pPweQFdY1B5hNdcStypsd8YhCm5XeUCIH7bYbFjSBheuii3RtRimBLJyFgCwSeXocJ+cKUdjkd9nahCpf3+Xu0nnOUXKkSsKlzGZMtynxiMjLdO+g1n2j+HSUqcg8uwOQiECse9L6p2Ru3ug+cOBQCphK4fhBmV4eQIGiyFHIYd1SgqW7C27eafZidfg8YUCM3rUtnUmomQj+ZU1TBKEaEQIwgIAvoMWKYJUhrIGDO07jjxo1j2LBhbN++HQ+PD2cmGxmUmjcFA9ecYa7Sbdf898NsL6t6y9ZIhNJMCERLoOeunmy6tonWeVvzi/svX2xvOJM2Z//NvAsMZneP8qTf2xOOzwfPnlChb7S+9GigZt3QQ29M9KHHQ1maL3YYttr9szA8vgLfzIa89WLiUErMQsA0As9vw2+5DSecs7LOOAae/IM08dLQIetMfl58Co8MiVnxyS5B4XNUm7xt6OLexTR/ZraW+cRMgDp012M+MYSh24KH4UzO0Zkg6B10OATJTd8qWgfs4kIIWC+BXWNg53BQ+cH3yw9eUnH8LuLEcuLs4Ko4mLjdr8wn1psy4cr0mk80/44SFWrD/DIiddinv14Dt8TWPyiiUAioTcBwBOG0MvDiNuRrAPVmav4wyeSdlxi7xY/q+VIypanpO5hEhkDmFLUTQ+wJAfslIAvo9ju2EpkVEjCcB+Xu7s6UKVM+qsudOze1a9dm5MiRkSoeO3Zs6OK5Yev24sWLmxyVmjcFbeceZfu5ewytk5dmxf87X9MoUU9vwIS84OgC/e6Do6NR3aSRELB2Akre7is/zoerD1+x5PviFFxcB+cXZ3Bu9jfkqWsV4apZN6wiIDsUYYmHsjTJi20DYd8EyF0HGs61w5GSkISAygT2TYRtAwhJX4IGSePh98SPru5dKZigDnWn7CdVwtgc6F0xgtONVzby655fyZwwM2vqrFFZ0JfNaVI3dI3A/p3pNZ/ouuAxvy5c9oYqw6BkJ/sfRIlQCKhFwPBw4x8F4ck1qDsdCjRWyzIBgcHk7L+J4BA43KciyRNEfiRdVA5lPlFtKDQzpNd88mkAuubGmMzw+hH8sBdSftipQTOiYlgIWBmB4KCwYwyu7Aw9Sop2O3XZRe7Itcc0mHaApPFcOdK3oskPYEVGUde6YWXDKHKEgBAwjYAsoJvGS1oLAbMILF26lGbNmjFt2rTQbdxnzJjBzJkzOXv2LBkyZKB58+ah56SHL6Ybtm3v378/ixYtolSpUh99x4sXD8N/xlxq3hR4TdzDuTvPmd2yCOVzJjfG/X9tggJhWPKwLX66noMEH57cNc2KtBYCVkdg/+39tN/Wnq9if4V3Q28cHaJ/OKTJjIMcuPKIqQWdyDioC64JA8m0dj0OKazjLSk164bVDZgdCdL7oSxN8uLWMZhZHlzihG3jHiuOHY2QhCIENCAwtRTcO8Ox8j1ocW0psZ1is73Bdt4FuFJ0+A4cHQzHg3jh4vTfXPQ84Dlll5QlMCSQ9XXXkyGBiQ9BmhGGJnXDDD3SNXICes8nBhWa5saBKbClN2QqCy2+fLSO5IQQEAL/RyB81zjDFtXdL0CsuKriKTPGmxuP37CsfQmKZkpikm1Na4ZJSqTxlwjY3XzyabDTy8KdE9B4MeSsLskgBGIWAZ/R4DMCnN3g+52QPJcu8b99H0T+QVsJCArGp3s5MiY1f26SOUWXoRMnQsAuCMgCul0MowRhSwQMb58bFsbv3LlD3rx5+f333/H09AwNoVy5cmTMmJE5c+aE/r/hz/7+/p+FN3DgwNBtEI251LwpyD9oC8/fBrL1F0+yp4hvjPuIbQxnqRnOVGu9FdIXM72/9BACVkhg+MHhLPFbQv1s9RlU0rh/l12XnWDlsVssvLaIJCeOhUaVbtoU4pUrbxURqlk3rCIgOxWh90NZmuSF4U2nCfnh2XVotABy1bTT0ZKwhIAKBO6egWmlwCkW3Us1YcuNnR/nnuDgEHIO2Bz6ht+enuVJlyTiwyhtt7bl0J1DdPfoTos8LVQQY5wJTeqGca6llQkE9J5PDNI0zY2HF2GSR+i/FXpe1eXtKBNwS1MhYL0E1nSE4wug0HdQe7LqOpv9dYg9Fx8ypn5+GhZJZ5J9TWuGSUqk8ZcI2N188mmwS5rC+fXgNRaKfS/JIARiDoHLO8Gwww8hUGcaFGyia+wNpu3nyLUnjPkmPw09TJs/IhMqc4quwyfOhIBNE5AFdJsePhEvBKInoNZNwYu378k3aGuowzODqxLP1Tl655+2mP01+O+F+n9Bvm9M7y89hICVETCcZ155RWXuvb7H5IqT8Uwb9jBMdNe4LX4s2vgvC7YNw8GwjyEQt3Rp0s+aGV1XXT5Xq27oIjaGO9HzoSzN8mJLXzgwKewMtfqzYviISvhC4AsEtg2AfRO5l6MqVd9fICgkiBU1V5AjSY7QTuXG7uTao9csblecElm+imBo4bmFjDo8CvcU7sypFvagph6XZnVDD/ExzIee84kBraa5YXg4a2IBeOovbwnGsDyWcM0gYDjfeVx2CHgJrTZBhpJmGIu8a//VZ5h/0J8O5bLQs5ppO29pWjNUjzRmG7Sr+eTTodzcGw5OCTsexHBMiFxCICYQeH4HppWG1w+hcHOo9afuUY/efJ6pPpdp6JGWMd8UMNu/zClmIxQDQiDGEJAF9Bgz1BJoTCWg1k2B390XVJ2wm4RuLpwcWEUZzlU/wMnFUHEAlOmmzIb0EgJWRODso7M0Xt8YN2c39jTeg6uTq1HqFhz059LI0TTy20msBO8JeBELQkLIvHEDrpkzG2VDy0Zq1Q0tNYpt/Qlolhc3jsBflSBWfOhxCVxMOxNTfxLiUQhYgEBwMPyeB17c5s+SzZlxx+ezxfCmsw6y79IjJpZLQembJ0jctCmObm6hYm+/vE3Vf6qGHjPi09CHxLET6xKEZnVDF/XiREsCmufGhm5wZBZ4tIYav2sZitgWAvZB4OQSWNUeEmeEn0+Ag4Pqcf219ypD1/tSPV9KpjR1N8m+5jXDJDXS2JoI6JobBybDlj6Quw40nGtNGESLENCGgOE4zrk14fp+SJEP2m4Dl7DvF3peO8/fp9WcI2RKGped3cuZ7VrXumG2WjEgBISAJQnIArol6YtvIaADAbVuCrzP36P1nKPkTpWAjZ3LKFO+cwTsGg3uraDmBGU2pJcQsCICk45PYvqp6VRKX4nfyxv/46z36ZskavY1bm8DSFPZiWeBZXi504dETRqTauBAi0eoVt2weCAiQFUCmuWFYWFwQl54fguaLIEcXqrqFmNCwC4IXNkF82oREDshlTNl4vHbx4wrO46qGat+DK/nipMsO3qTRadmkfjKeb5q147k3bp+/Pybtd/g98SP4aWHUytLLV2waFY3dFEvTrQkoHluXNgCixpCwnTQ5bQmi4Fa8hHbQkB3AoYFkqu7oXxfKNtTE/c7zt2jzVxlvyloXjM0iViM6kFA19zwXQvLmkEaD2i3Q4/wxIcQsCyBDztghT7s3n4XfJXFInqevXlPwSFbDe+dcKRvJZLFN+7llajE6lo3LEJMnAoBIaAWAVlAV4uk2BECVkpArZuC+Qeu0X/NWSrnTsHM5h7Koj02H9b+BFkrwXf/KLMhvYSAFRGov7Y+F55cMHkx4tyCZTBsIE6xg8g2tRuvHQpwvWUrHNzcyLbLB6cECSwapVp1w6JBiHPVCWiaF5t6waGpUKAJ1J2munYxKARsnsDqjnBiAevyVqXPq3Mkj5OczfU34+Lo8jG0idsvsmnZVn7fPSn07xwTJCDbTm8c48YN/X+lD32Zw07TumGOMOlrcQKa50bAaxidEYLeQYdDkNy07aItDkgECAE9CTy9DhPyhXk0PHCSKL0m3i8/eEnF8buIE8uJs4Or4mDCW+6a1wxNIhajehDQNTduHYOZ5SFeCuh+QY/wxIcQsBwBv02wuHGY/4bzIHdty2kBqk3Yzfm7L5jatDBe+VKZpUXXumGWUuksBISApQnIArqlR0D8CwGNCah1UzBq03mm7bpMy5IZGVQrjzLVV3xgXm1Imh1+OqLMhvQSAlZC4OaLm3it9MLJwSl0O9xEsRMZrexK7aq887tOnDwBpJh/Ele3uFytVZt3Fy+SvGdPvmrdymhbWjRUq25ooU1sWo6Apnnhvx9me4FrwrBt3J1jWS5Q8SwErI3A+zcwNhsEvKBJfk/OvLhGp0Kd+D7/9xGUrvj3Jk96dKX07dMf/z5F/34kado09P+VHjtiDg5N64Y5wqSvxQnokhvz68Jl77Bzag3n1colBIRA5AR2jYGdwyGTJ7RYpxmlgMBgcvbfRHAIHO5bkeTxjT+2R5eaoVnkYlhLArrmxquHMPbDG7j97oOzeW/BaslFbAsBswg88YfpnvD2KRT7EbxGmWVOjc79V59h/kF/WpfKxICauc0yqWvdMEupdBYCQsDSBGQB3dIjIP6FgMYE1Lop6LT4OOtO3qZv9Vy081R4RvPjK/BHIXB2g753ZCtFjcdezGtLYIHvAkYfGY1HCg9mV5tttLO3589ztU5dcAhhu1cRavSZFnqO05Ply7nbfwAuadKQZesWHJycjLapdkO16obausSeZQlomhfBQfBbLnh5D5qugGyVLRuseBcC1kTgzEpY0YpTSdLTNCGhb51v+2YbX7l9FUHlob2niNe2MY6EkPjbJjxZtBiXDOnJsnFj6JwSEhJCpRWVuP/6PpMrTsYzrafmUWpaNzRXLw60JKBLbhyYAlt6Q6ay0GKtluGIbSFguwQM++H+URCeXIO606HAh7cNNYqozBhvbjx+w7L2JSiaKYnRXnSpGUarkYbWREDX3DD8exmeCgLfQKdjFtvO2pr4ixY7JBD4Dv6uCrePhx1X0GqTVTzgvubELTovOUH+tAlZ+1Nps8DrWjfMUiqdhYAQsDQBWUC39AiIfyGgMQG1bgrqTdnHsetPmdK0MNWVbpUTGADDkgMh0OMyxE2qcfRiXghoR6DNljYcvnuYnkV60ix3M6Md3enclqdb9hEn3TtquY9karuKlMySlOC3b7lUrjxBT5+S5s8/SFDZcguIatUNo6FIQ5sgoHlebOgGR2ZBoWZQO2wLarmEgBAAFjWGC5volac0G15fDz2/3HCO+afXpb4Def/PMo6mzEWT9fO5XLEiwc/+x955QEdVdAH4S68ECBAIEBIg9Ca9Se9NuiBVQKVJUQERUNQfQSkK0kRARIpU6b33DtJbgIROSEiD9N38Z95CIIJms/UtzDsnZzfZmTv3fm9y39t3Z+6NIu/0aWSqV09pPubwGJZeXkr7wu35qupXZsdrdr9hdgvkAOYiYJG5EXYVplUAB2cYdgNcPM1ljpQrCdgugWdZgJw9dSmpnXVlP8x1dJ17hH1XwxjfrjTvVvDTexiL+Ay9tZEN1UTA4nNjagUIvwrd1kKBWmpCIXWRBExDYONQOPoruGWF3vsgi/6+2jQKvFrKvag4qo7biYO9HWdGN8TDxdHg4SzuNwzWVHaUBCQBaxOQAXRrnwE5viRgZgKmuimoPHY7D6ITWNO/OmX89E9V/ZJ5k4pCzD34cBfkKWdm66V4ScA8BKISoqi1tBaaFA2b2mwib6a8eg2kiYri6ttVSUlK4W7z4vRy7Mmk9mVoW17XP/THnwj/9VfcK1bEf8Efesk0RyNT+Q1z6CZlWo+A2efFjb0wv4Xui/qQq+DwvLaz9ayWI0sCVibwJBwmFSbMTksD/wCSU5JZ0mwJJbKnLaeTHBFBUN16pMTFMbx6b2ZP7gO/ziB89uw015T9d/bTd3tfcrjlYHv77djb2ZvVQLP7DbNqL4Wbk4BF5obYKTilDESGQMc/oWhTc5okZUsCtklgTX84tRDKdoGW081uw7MUvP1qF2RY46J6j2cRn6G3NrKhmghYfG48Kw8i/l/E/408JIHXicC5lbCip86iTsugcCNVWVf9+53ciYxjYa/KvF3I8E1ZFvcbqqIolZEEJIGMEJAB9IzQkm0lARskYIqbAlGrrMiXmxDPoI6NrE+OTEbUeZrbEG4dgfbzoUQrGyQqVZYEYN21dYzYP4JCWQvx1zt/6Y0kfMoYQmcuwiVLMosGTGPu2WSGNCzMx3ULKTKS7t0jqH4D0GjIv3oVrkX1f6iktxJ6NDSF39BjGNnExgiYfV5okmFSEYgNg66roWAdGyMk1ZUEzEDg6GzYOISZeYswwymO0jlKs6jpopcGCvvlFx5OnkKId1761BjEqv7VKemSSFC9+pCcTMCKFbiVLEGiJpEaS2oQmxzLn83+pGT2kmZQ+rlIs/sNs2ovhZuTgMXmxoYhcGw2lO8BLSab0yQpWxKwPQKJT2BiYUh8rEvR61/N7DbM2XedMRsu0qyUL9M767+g3mI+w+wE5ACmJmDxubF2AJz8A2oNhzpfmNocKU8SsB4Bkbnn19q6a8Lbn0L90dbT5V9G/mTp36w6dYeB9QrxaYPCButncb9hsKayoyQgCVibgAygW/sMyPElATMTMMVNwc3wWGpO2IWLoz2X/tcYOzs7w7Ve0QvOrYCGY6DaAMPlyJ6SgBUJfLr7U7aFbOOj0h8xoKx+8zhFq+Xa2+VIepRArtaFmFdnAj/vDKJz5Xx817pUqjW3P/mEmE2bydy2Dbm/ezlFryXMNoXfsISecgzLErDIvFg3CE78LgMdlj21cjQ1E5hTn6Tbx2gUWJSHmli+r/E9zQo0S6OxNiFBCZRrwsJY3uhDfnMrwrROZWleOjd3hg0jeu06vFq0IM+E8Uq/Z9ewD0t9yMByA81qvUX8hlktkMLNRcBic+PKFlj8LmT2g8FnwZjvMeaCIeVKAtYicHoJrOoNWQNg4N8W+f/YcfEBveYfp7ivFxsH1dDbcov5DL01kg3VQsDic2PPBNg1Bt7qAq3Mn7VBLZylHq85gcRYmFMfQs+D/9vQbQ04GJ4i3Vy0Fh0JYeSqc1QrmI3FH1YxeBiL+w2DNZUdJQFJwNoEZADd2mdAji8JmJmAKW4KDl4Lo9PsIxTI7sHOIbWN03j717D/J6jUG5rqHuTKQxKwJQIJmgRl915cctwr0+j+my2P1y/l1pCvsXfSUmj9Epbcz8aIVWepW9SH396vmNot9uQpQjp1ws7ZmcDdu3D09rY4HlP4DYsrLQc0OwGLzItrO0GkRXTPrqvDae9gdrvkAJKAagmEX4Op5djs4cFQn2xkd8vO1rZbcfpHeYPIlSu5N3IUjrlyMePD8aw6G8oXTYrSu1ZB4s6fJ7htO3B0JHD7Npxy5TI4i4ohnCziNwxRTPaxOgGLzQ3xQPiHANAkQL8j4GOd7D5WBy4VkAReRUCUzhEldOqMhFrDLMIoKPQx9X/cg4ezA+e+aaT34nyL+QyLUJCDmJKAxefGs4Un+WtC93WmNEXKkgSsR2B1f/h7IXj4QJ99kCmX9XT5j5GvPoihwU97cXNy4MzXDXFyMKwclcX9hippSqUkAUlAHwIygK4PJdlGErBhAqa4KVh+/BZDV5yhRqHsLOhV2Tgax+bChk+hcBPotMQ4WbK3JGAFAntv76X/jv74uPuwvd12vR/63Gpdg8cXw/CunJ2c8/ex63IoPeYdo2iuTGweXDPVkpSUFILbv0v8uXPkGDyI7H36WNxKU/gNiystBzQ7AYvMC00STAiE+Ejovh7y678zyewA5ACSgKUJ7P4edo+jW/7CnCKevmX60u+tfmm0ENlNrrd4h8Rr1/AZNoy5uasyY/c1ulX159uWuvTsId26E3v0KNk+/ACfzz4jKiGKWktroUnRsKnNJvJmyms2yyziN8ymvRRsTgIWnRvP6tXKDFjmPKVStq0RiLwJk59mwRLZGbLks4gFCckain25GW0KHB1ZD59MrnqNa1GfoZdGspFaCFh8bgTvh9+bgXcBGHhKLRikHpKA4QROLYQ1/cHOXrfzXCwOUemh1aZQbsw2ImOTWN2/Om/5ZTFIU4v7DYO0lJ0kAUlADQRkAF0NZ0HqIAmYkYApbgqmbL/KT9uv0KGCHz+0K22cttf3wB/vgEtmGHgSPLIbJ0/2lgQsTOCbQ9+w4soKOhTpwKgqo/QaPfHS31xr1RGwo+Bv43Cu1orL92NoNHkvWdyd+PurhmnkRK1dy91hn+Po40Pgju3YOTnpNY6pGpnCb5hKFylHPQQsNi+erX6v+CE0m6geAFITScCSBFJSlN3nFx/f4t08vjjaObK13VZyuOdIo8XjPXu41bsP9h4eStaSJRceKWkN6xX1Ye7T7CYxO3dxu18/7L28KLRrp9K255aeHLt/jM8rfk6X4l3MZpnF/IbZLJCCzUXAonPj0AzY8gXkrwXd15rLJClXErAtAnvGw67vdIESC++iffuHndyOiGN5n6pUDNAv25ZFfYZtnck3XluLz42IEJhSGhycYeQDsDdsB+wbf+IkAHUQuH8O5tSD5HioOwpqDlWHXv+hxQfzj7P94gNGNi3GhzULGKSvxf2GQVrKTpKAJKAGAjKAroazIHWQBMxIwBQ3BcNWnGbZ8dt82qAwA+sVMk5brQZ+rQX3z0L596HFFOPkyd6SgAUJaFO01Ftej7C4MGbVn0W1PNX0Gv3Bx615tP0SHgEu5Nt0SqkvGBWXRJlvtir9L37bGDfn56mqtYmJBNWtp9SzzT1pIpmbpa13q9egRjQyhd8wYnjZVaUELDYvrmyFxe3BMxd8elE+lFLpfJBqmZnA7ePKw6wvfXxY7eFKk/xNGF/z5dI3Ie/3IPbwYbx79CDn58PYfTmU9/+R3UTZpd6kKYkhIeQcNQrvLp354/wfTDg+gUq5KjG30VyzGWMxv2E2C6RgcxGw6NwIuwrTKoC9E3weDC6e5jJLypUEbIOAWKT181sQEQytZ0EZsdDXckeXOUfYHxTG+HalebeCn14DW9Rn6KWRbKQWAhafGyJj1hgfSNHCZ5dVm+paLedH6qFiAvHRMLsOhAdBYH3otNwmvnvP2nONcZsu0bB4Tn7tVsEgwBb3GwZpKTtJApKAGgjIALoazoLUQRIwIwFTuWbqBQAAIABJREFU3BR0nnOYA0HhTGpfhrblTZDmM+QQzGus7Mblo92Q+y0zEpCiJQHTETj98DRdNnbB08mTvR32vlSH9lUjaSNDCapVE02CHXlH9CBTN119QZGqveToLTxJ1LDjs1oUzJH2Ye7DadMJmzYNtzJlCFhq2XIHpvAbpqMuJamFgMXmRXICTCgECVHQcwvkq6IWBFIPScByBDYMIeLEXOr7+5FICguaLOAtn7T3S2nqm2/bipOvL0GhMdT/cS+ZXBw5+02jVH0j/vyT+998i1O+fBTctJHbT+7SdFVTHOwc2NNhD5lFZiAzHBbzG2bQXYo0LwGLzo0Xg4UdF0NRyy5MNC9JKV0SMIBAyEGY1wScPWHIFXD2MECI4V1GrT7LwsM36V+nIEMbFdVLkEV9hl4ayUZqIWCVufFjcYi+Ax/sgLyGBfDUwk/q8YYSEPdGK3rA+VXglQd67wOPbDYB40RIBG1nHsTbw5kTo+rrXVbxReOs4jdsgq5UUhKQBP5JQAbQ5ZyQBF5zAqa4Kag9YRfB4bEs+agKVQqY6IZq5Qdwdjn4VdYFSOzsXvMzIc17HQhMPjGZuefm0jigMRNqTdDLpMgf+nFv3i6cMtlR8ODpNOnY6/+4h6DQxyz6oDLVA9OWM0gOCyOoTl1SkpIIWLYUt9JGlk/QS1tdI1P4jQwMJ5vaCAGLzou/esOZJVClHzQeZyOEpJqSgIkIiJ1NEwszxzmZKd5ZKOZdjKXNl770cOjOkKFEr1+PV/Pm5JmouybFJiZT/KstyvvToxuS2U1XAkQbG6tcUzRRUeSdNpVM9evTek1rgiKDGFdjHM0LNDeR8mnFWNRvmMUCKdRcBCw+NzYMgWOzoXwPaDHZXGZJuZKAbRAQtW5FzduyXaDldIvrPGffdcZsuEizUr5M71xOr/Et7jP00ko2UgMBq8yNuQ3h1hFoNw9KtlEDBqmDJJAxAkdnw8YhYO8IPTaBX6WM9bdi68RkLaW+3kJCspbtn9Yi0CfjmYWs4jesyEwOLQlIAoYTkAF0w9nJnpKATRAw9qZAq02h6FebETco+4bVwc/b3TR2R9+FqRUg6Qm0mQ2l3zWNXClFEjAjgZarW3I96jo/1PiBpgWapjtSSlI8wXXeIj7MDp/36pJtdNoHVF3nHmHf1TAmtCtN+1ekL7z7+XCi1qxJExxJd1ATNDDWb5hABSlChQQsOi8ubYQl7+lWww8+ZxOp5FR4yqRKtkrg8maS/+xAk3x+3Hew43/V/0erwFZprEm6d4+g+g1AoyFg5QrcSpRI/bzst1uJiE1i48AaFM/tlfr30J8mEz5rFm4VyhOwcCE/n/yZ2Wdn0yigERNrTTQLLYv6DbNYIIWai4DF58aVLbD4XcjsB4PPysW75jqxUq76CSQ+URZpkfhYFzTx168klSkN237hAbN/mI9Hfn9++7qDXqIt7jP00ko2UgMBq8yNFb3g3Apo8D+oPlANGKQOkoD+BO6cgLmNQJsEjcZC1f7691VJyw6zDnHkxiO+b1OKjpXyZVgrq/iNDGspO0gCkoAaCMgAuhrOgtRBEjAjAWNvCkJj4qn03Q7s7eDymCY4OdibTtt9k2DHt7o6twOOg0sm08mWkiQBExMIiQ6h+armONo5sqfjHrycnwcl/m2ouKXfEzx6PnYOKQTu2YNj9pxpmg5bcZplx2/zaYPCDKxX6CUxcefOE9yuHTg6ErhjB045fUxs1avFGes3LKKkHMTiBCw6L5LiYUJB3cNdmRrR4udaDmhlAst7sP3GJj7JmYOsLlnZ1n4bLg4uaZR68MN4Hs2bh3uVKvj/Pi/NZ82n7uPcnWhmd6tAg+LPrztJD0IJql8fRGaT5cu4miuFzhs74+HkoZQlcXZwNrnhFvUbJtdeCjQnAYvPjcRY+CEANAnQ7wj46Jc22pwMpGxJwCoETi+BVb0hawAM/Nsqi0mungsiqmN7nLVJBP65CPcyZdJFYXGfka5GsoFaCFhlbmz/Gvb/BJU+gqb6ZaZTCy+pxxtOIOwqLGgDUTehaHPosNAq1wFjz8KkrZeZujOINuXy8OO7GS8LahW/YazRsr8kIAlYhYAMoFsFuxxUErAcAWNvCk7djKD1jIP4Znbl0Bf1TKu4CJDMqAIRN+DtT6D+16aVL6VJAiYk8Pu535l0YhJVfKswu+Hs9CVrtdxpVZroKxoyVy9C7rmrX+rz07YrTNlxlfcq5WNcm1KvlBncqTNxJ0+SrW8ffAYNSn9cE7Qw1m+YQAUpQoUELD4vnu3sqDYAGo5RIRGpkiRgBgLx0TCxED2ze3HMzZUPSn3AoHJpfb8mJoag2nXQPnmC36xf8KxVK40i/RadYOPZ+3Sr6s+3LUum+ezu558TtWYtXs2a4TtxPPWW1yMsLoxZ9WdRLY/pdyFa3G+Y4ZRIkeYhYJW5saA1XNupu6aIa4s8JIE3kcD8FnBjL9QZCbWGWZxASkoKIR/1Jm7fPi5m9eftTX/hkyX9LHdW8RkWpyMHNISAVebGsTmw4TMo0hTe+9MQtWUfScDyBM4sg3WDdZlAs+aHj3aDWxbL62GCEfdceUj3346Sz9udvcPqZFiiVfxGhrWUHSQBSUANBGQAXQ1nQeogCZiRgLE3BRvO3KP/4pOU98/Kyr6mf7DK5U3wZ0cQu576HYZsBc1IQ4qWBAwn0G1TN06FnmJE5RG8V/S9dAUlH15CUM+vSdHaEbD4d9zKVX6pz5KjNxn+11lqF8nB7z1eXXMqevNm7gz+BAdvbwJ37cTeJe0uxHQVMaCBsX7DgCFlFxsgYPF5cWENLOsGWfLBoDM2uTLeBk6rVFFtBE4t5MrGwbTN64uDnQOb224ml0euNFqG/zaP0PHjcQ4sSIG1a7GzT5sdaN/Vh3Sde1TJHrRuwNuUyJ05tX/8hQvcaNMWHBwI3L6N727MYuXVlXQo0oFRVUaZnIbF/YbJLZACzUXAKnPj0AzY8gXkrwXd15rLNClXElAvgcibMPnpol1RykDcY1n4iFy9mnvDv0Dr5ETE5LlUqFkOVyeHdLWwis9IVyvZQA0ErDI3rmyFxe11mRwGnAT79OewGlhJHd5QAiILz6ZhcGqBDkBADWg7BzKl/Y5hS3Ri4pMo881WtClwZEQ9cnq5Zkh9q/iNDGkoG0sCkoBaCMgAulrOhNRDEjATAWNvCn7de42xGy/xTpnc/PxeWdNrmZICi9pB0HYo3Bg6LTX9GFKiJGAkgfC4cOosq0MKKWxrt+2lYMZL4lNSCPuwCg/3R+MakI38m/e/UoO9Vx7S7bej5PJyZdeQ2rg5v/zFOyU5maAGDUm+dw/fsWPJ0qa1kdak391Yv5H+CLKFLRKw+LwQX/RFGvekWPhoD+TOeGo2W+T8Out8O+Y2iy4u4sSDE9jb2eNo76gEiZ+9Otjr3otSGeL9i5+9qq343MneKbWtSHMusoQEZg20XYzzW/BN9FlWeGWigX8Dfqz9YxpbUpKSdNeE+/fx/W4MWdq2faWtYvGjWARZNl8WVvaphr2Ipj89Qrq/T+yRI3j36snl9yrTf0d/crrnVK5vdnbP25kCosX9himUljIsQsAqc0OkLZ1WAeyd4PMbsnyURc60HERVBPaMh13fQf6a0H2dxVVLCg3levMWaKOjyfHpp2T/6EO9dbCKz9BbO9nQmgSsMjfiImByaUiIhlYz4a1O1kQgx5YE/p3AwyuwvDuEXgDsoNbnuuwjr8Gij2Y/7+P83WimdSpL89K5MzQLrOI3MqShbCwJSAJqISAD6Go5E1IPScBMBIy9KRi95hzzD4XQt3ZBPm9splqB4mGWSOWuTYZOy6FwQzPRkGIlAcMIrLq6iq8OfkUx72Isa7EsXSEp1/cR1LYXyXEO5P5mBJk7dH1lnycJydSdtJsH0Qn0rJ6fr1oUf2W7sNmzeTjpR1yKFSP/XytNHuD456DG+o10AckGNknAKvNC7EAXO9Hf/hTqj7ZJblJpOPvwLL+f/53tN7ejTdGaHUlR76I0L9CcJvmb4OPuY/bxTDZA1B2ippSkgV9u4uzt+a3Rb1TMVTGN+Kh167g7dBgO2bMTuHMH9s6vrlt+PyqeepN28yRRw/dtStGx0vNdhjG7dnG7bz/sM2XCb/smaq9vQlxyHEubL6V4tldfhwy10Sp+w1BlZT+LErDK3BALd39+CyKCoeNiKNrMojbLwSQBqxJ4cf63ngVlOlpUHZG6/faAATzevgPXEiUIWLoEO0dHvXWwis/QWzvZ0JoErDY39k+G7aMhU24YcAKc0y9FYE1Ocuw3kMDpJbD+U13Kdg8faDsbCtR+bUB8vfY8vx8MpntVf775R9mq9Iy0mt9ITzH5uSQgCaiOgAygq+6USIUkAdMSMPam4IP5x9h+MZQxrUrSpYq/aZV7UdrWUXBwKngX1KVyd3z1A2HzKSAl2woBjVZDvCZeedgfnxxPdrfsuDpmLF1TRm0dsHMAu2/tpt9b/ehbpm+63aNHNeLOips4eDgReOj4vwY4hKBdl0PpMe8YYtPfkg+rULlAtpfkayIjuVq7Dinx8fgv+AP3imkDKukqlMEGxvqNDA4nm9sIAavMi3MrYUVP8C6gS49o4t2xNoLeJtUUgfI9t/YogfOToSdTbaiWuxqtC7XG3dGdZG0ymhQNwq8naZNS34u/Kb9rNbq/pWiUti+2T05JVj5/9jfxGh4fzuF7h5W/icMOOyr7VlaC6fX96+Ph5KFulgemMP/IBCZmy0qhrIVY2SLtgikRfLjRti0JFy6SY/Agsvfp85/2zNl3nTEbLpLF3Ymdn9XG20N3b5Wi1XK9aTMSg4PJOWIE3/qdYMfNHcr1TVznTHlYxW+Y0gApy2wErDY3NgyBY7OhfA9oMdls9knBkoDqCIQchHlNwNkThlwBZ8teE6M3buTOp5+BkxP5V6zAtUjhDCGyms/IkJaysTUIWG1uJMXDtIoQdRPqjNTt6pWHJKAGAkrK9qFwaqFOG5F1pI1I2Z5TDdqZTIdnJUeL+3qxcVCNDMm1mt/IkJaysSQgCaiBgAygq+EsSB0kATMSMPamoMmUfVy8F8289ytSp6gZd3HFR8PU8vAkFBp8C9UHmZGKFG0JAiL4cSfmDrHJsUqg+1nAW/ldBMCT4pTXZ5+Jz5+1UV5fCJK/+FmiNjGN+iLVbxHvIpTOUZoyOcoor3k985psl7YYu+aSmoo+K1qsUMb6z+PBBULaNyc21IVs3d7FZ8Q36eIevvIMS47dws/bjc2DauLh8vJujHtffkXk8uVkatCAvFN/TlemMQ2M9RvGjC37qpeAVeZFQgxMCITkeOhzAHKVVC8gqZlCQPj0ddfX8cf5PwiODlb+JtKvN83flG7Fu6XvQ43kGBkfydaQray/vp5ToadSpbk6uFInXx0lmF41d1Ul9bvaDs3MajR3esRtJydGVx1Nu8Lt0qj45PBhbr7fAztXVwJ37cQxa9b/NCFZo6X51P1cuh9Dx4p+fN+2dGr7iCVLuP/1Nzj5+XFuWh++PDwasXN/eYvlJsViFb9hUgukMHMRsNrcuLIFFr8Lmf1A1ICWC7PMdYqlXLURWNNfF0wp2wVaTreodsmPHnG9WXM0ERFk//hjcnzcP8PjW81nZFhT2cHSBKw6N86ugJW9QCzSHHjqtQtQWvpcyvFMQCD0Eix/Hx5e1KVsr/0F1BzyWqRs/yed0Oh4Ko3dodzKnR7dEC9X/b/fWdVvmOA0SxGSgCRgOQIygG451nIkScAqBIy9KSj99Rai45PZ+klNCufMZF4b/l4Mq/vqVsWLFFiZcpl3PCnd5ARCY0M5cOcA++7s49DdQzxOemzyMV4U6GzvzD8D6uJzb1fv5wH17KUpmb0k7k6GpVTbeXMng3YNIrdHbja33ZxuYD7hl65cn3xc+a4SuGMHTrnTr8UUE59E48n7uBMZR+fK+fiudamXuMVfucKNd1qCvT2B27bilCeP2dga6zfMppgUbFUCVpsXSzrDpfVQcxjUHWlVBnLwfycQER/BkstLWHJpCY/iHykNMzllon2R9nQq2omcHpbf8XAr5hYbr29UgunPgvnPrhGNAxorwXRxfTB13W+D5sn9c+yZX4+Pc/ng5ZyJ7e134ObolkbUzd69ebJnL1k7dSLXV1/qNcyx4Ee0/+WQ0nZl32qU99cF3bVxcQTVroMmKorMP46lSdjXSnr9rW234uvpq5dsfRpZzW/oo5xsY1UCVpsbYlfWDwGgSYB+R8DHTCWqrEpXDi4J/INA4hOYWBgSH0OPTeBfzaKIbn/yCTGbNuNSpAj5ly/D7l/Kj/yXUlbzGRYlJQczhIBV54YojTCnHtw5AeW6wzvmXehuCB/Z5w0iIJ6pbvgMkmLBMye0naPbff4aH7Um7CIkPJbfe1SkdhH9N31Z1W+8xudDmiYJvI4EZAD9dTyr0iZJ4AUCxtwUiKBeqa+3KtLOf9PolbtiTQpbq4W5DeDOcSjTCVrPNKl4Kcz0BESa3LNhZ9l3e58SNL/06FKaQcTD/0zOmZRUvSLNutgBKP4m3ovXF9+Lz178+7PPlD5Obrg5PG//TJYY7O6Tu5x5eCb158KjC6npe58pY29nT6EshdLsUg/wCtAraPLlgS9ZHbSazsU6M7zS8P+GGHmL+13fJuKqO5nerkDeOQv0hn4wKIxOc44o7Rf0qkSNQjle6hvSowexhw7j3asnOYcO1Vt2Rhsa4zcyOpZsbzsErDYvziyDvz6E7EXg46O2A+wN0TQkOoQFFxawJmiNkqlDHL4evnQt3pU2hdqoIm26SH1+Pvy8EkjfdGNTaoBf6Orv5U+zAs1onr85fl5+1jtrW7+k97U/Oejuxvsl3uezCp+l0SXh6lWut3hH2S1bcMtmnPM9r2mentJDl59m+YnbFPP1Yt3H1XF0sFe6hE6eTPgvs3ArX57RXRyUVPtfVPqCTsU6pSdS78+t5jf01lA2tBYBq86NBa3h2k5oOAaqDbAWAjmuJGA5AqIO7qrekDUABv5t0cwL0Vu3cmfgIHBwIGDZUtxKlDDIbqv6DIM0lp0sRcDqcyPkEMxrDHb2uoxZOYtbynQ5jiSgIyAWSW0cCn8v0v0u6py3mQ2e+geUbRXlZ8tOs/LkbfrXKcjQRvovirS637BV4FJvSeANJCAD6G/gSZcmv1kEjLkpuHQ/WtkVK2pn/v1VQ8uAEyt3Z9fVjdVrO/iZt9azZYx6vUYJjwvnwN0DStD84N2DRCdGpxoo6s2K3Xw18tSgRt4aFM9WHBG8tuSRoEngYvhFJaB++uFpzoSd4f6T+y+p4OXspQTUldTv2ctQKkcpJdj/4iHq69ZZVoeIhAjmNpxLJd9K/2mKZvUQgkatQ5tsT755v+FRtWqGTB+95hzzD4Xgm9mVLZ/UfCkFVczOXdzu1w97Ly8K7d6Fvbthu+rTU8oYv5GebPm57RKw2ryIj4LxBUGbJHcLqmj6/B36t1LfXGTpSCFF0ayYdzF6lOxBA/8GStp2NR6ivMjhu4eVYLrQ/VnQX+gqyoCIXelid3oW1yyWU1+r4cbPJXknq6NSt31Dmw34ZUobzL87ciRRK/8yqIxH+OME6k7aQ1RcEl81L07Pt/MrtiWFhhJUrz4kJXFuXFe+jf6Tqr5V+bXhryaz3Wp+w2QWSEHmImDVuXFoBmz5Qrcrq/s6c5ko5UoC6iEwvwXc2GvxOs3JERHK4i9NWBjZevfG55PBBjOxqs8wWGvZ0RIEVDE3lnaBi+sgsD50WWkJs+UYkoCOQOjFpynbL+kWcYiU7TU+ey1Ttr/qlC89dpPPV56lUn5vlvXW//mbKvyGnMOSgCRgEwRkAN0mTpNUUhIwnIAxNwU7Lz2g5+/HKe7rxcZBNQxXIqM9n9Vny10WPtippKyWh/UIiCCy2Lkndpjvv72fc+Hn0igjAtHV81RXgubiVaRPV9vx4MkDZae8ElB/eEaxRwTaXzxE0KJA5gJpdqlHJkTSc0tPhI17Ouz574BQ7CMe9S7Hg2NuOOfNSYFtu/Ta4f6iDrGJyTSdso/g8Fjal8/LhPZl0uiYotVyrXETkm7eJNfXo8nasaNZUBvjN8yikBSqCgJWnReL3oWrWyz+4FcV4FWkhLge7Lq1SwmcC3/67KiZt6aya7pCzgoZ9nvWNO9J0hN23NzB+mvrOXL/iJLCXByOdo68nfdtJZheK28tJTuKWY/rexi7vjt/Zs5E7Tw1mFp/Rprhkh8+JKhuPVKSkvD/czHuZctmWJ3FR24yYtVZPF0c2fFZLXJ66Wy6O/wLolavxqFBLdpWOKBc5/Z22PvSgrIMD/i0g1X9hqFKy34WIWDVuREWBNPKg70TfH4DXMxcpsoiROUgksC/EIi8CZOflocafBay6J/BxFimdz//nKg1a3EuWJD8q/7C3oDU7c90sKrPMBaE7G9WAqqYG+HXYHpl3YLfLn9BYD2z2iyFSwIKgVOLdCnbk+PAM9fTlO0WfHargtNw7eFj6k3ag7OjPWe/boiLo4NeWqnCb+ilqWwkCUgC1iYgA+jWPgNyfEnAzASMuSlYcCiYL9ecp0HxnMzuVsHMmr4g/nEoTC0PCdHwzjQo19VyY8uRFAKR8ZHK7nIRNBc1zcUO7BcPscvw7TxvI4ImYse5Wnca/tvpFDsQrzy6krpDXQTVRa3cfx5i97wIqIggyrga4/5zdqTsHs/1Yb+SGO1EzlGj8O7S2aDZdFzUq511CFFObW73CtQrlrZu8KP583kw7nvlQVSB9evMEqwyxm8YZLTsZBMErDovxMOBNf0gZ0noe8AmeL1OSsYlxykp2v+48Eeqr3Syd6JFwRZ0K96NglkK2ry5obGhSnr3Ddc3cPHRxVR7PJ08lR319f3rKwsE3J1Mn/nj8are1IvcT6y9PbMazKJa7rS1aVNTrZctS8Cfiw1irdWm0HrmQU7fiqRFmdxMfU8XhI+/dIkbrVorqXXHDfXjlN1tJtScQOP8jQ0a55+drOo3TGKBFGIuAladG+Im6+e3ICJYftcw1wmWctVDYM942PWdxTMuxOzeze0+fZXF8OLa5VYm7cLgjAKyqs/IqLKyvUUJqGZubP4CDs8AnxLQZ98bswPYoidbDqYjIFK2i8D56T91vxeo8zRl+8tlANWMTGwQid64Cef8AQaX9xCluiqM2U74k0RW9q1KeX/9NvSoxm+o+QRJ3SQBSUAhIAPociJIAq85AWNuCsZtusisPdd5v1oAX79jWK0yg/Eemg5bRoB7dhhwAtwsmErVYKVtt6MIEov65c9qmYvd2s924gmrRAChau6qyi5zETjP4W5bN+b6nBmRml7Y/Sz1u3gvgkbimF5vurJY4F+PpDieDC3Fzc1O2Ls6E7j/AA6envoM+8o23224wOx9N8iRyYWtg2uS1cM5tZ0mJoagWrXRxsbiN3cOntWrGzzOv3U0xm+YXBkpUDUErDovYh/BxEKgTYaPT0D2QNVweZ0VCYsLY8mlJSy9vBSRkUMcIiNHhyIdlDrZ2d2yv5bmB0UEseHGBiWYfu/JvVQbxWKxsj5llTTn4pooFpM52Ou3y+G/rh+LZpTk+yzu5HfPxZp2W9MsjBK+/mqdumijosjz8xS8GhpeUufcnSjembYfbQos+qAy1QN15y+kRw9iDx3merPSDC99gSb5mzC+5niTnFur+g2TWCCFmIuA1efG7u9h9zgQGSa6r5dlo8x1oq0sV3yfiUmMwcPJw+YW/JoE3YuLRVrPgjLmyV71T1010dFcb96C5NBQvHv2JOewoUabY3WfYbQFUoC5CKhmbojvK2Jxlig/9c5UKNfNXCZLuW8ygQcXdCnbwy7rUrbXGQlvf2qTmTtDf/yJ8F9/xc7NjQJr1+Dsl7aElb6nufeC42w5/4DhTYrSp5Z+C7tV4zf0NVK2kwQkAasRkAF0q6GXA0sCliFgzE3Bx4tPsv7MPUY2LcaHNQtYRuFno2iSYGZ13U1hlf7QeKxlx38DRhO1yw/dPaQEzfff2U94fHgaqwtlLaSrZZ6nBmV8yiB2G75Jh0hVHBQZpATR3/J5679NPzqb2yO+I+a2G1nf60iu0aONQhWfpKH51P0EhT7mnTK5+fnpTsFnQu+P+Y6IhQvxrFULv1m/GDXWqzob4zdMrowUqBoCVp8XC9rAtR1Q7ytdXTd5mJxAoiaRy48ucybsDKdDTyvpzRO1ico4eTzzKLvNWwW2MssubJMbYwKBIvBy8sFJNt7YqGRjufvkbhqpmV0yUylXJSWYLoLqeTPlzfCo2rPLaXn4S4KdnRhR6QveK9YpjYxHixbx4H9jcMqXj4KbNmLnYFzA/uu15/n9YDAFcniwaVANJc3h4z17uNW7DykebnTvnYiTpxd7Ou4xyXXf6n4jw2dEdrAUAavPDU0yLO0MVzaDezbotQ2y6ffQ1VKM5DjPCYgdZo+THiuLuaITopXXqIQo3WtilPI+zU+i7jPRNoUUpcRUy8CWtC3UFn8v/zcHbchBmNcEnD1hyBVw9rCI7XdHjSJqxUqc/f3Jv2Y19q7Gl0Kxus+wCDk5iCEEVDU3Dk6DrSN16bTFRhAXwxfVG8JC9rEBAlotJMXqdpEnPn76Kt6Ln5gXfn/hswTx/unvwft1Kdsz+ULbuRBg+g0VlqAYsXQZ9194buZetQr5fvvNoAyL+64+5H5UvLI4OHcWN73UV5Xf0Etj2UgSkASsRUAG0K1FXo4rCViIgDE3BW1mHODkzUhmdC5H01K+FtL4hWGu7YQFrcHeEfocAJ+iltfhNRxR1P7+/dzvzDk7h3hNfKqFbo5uSgBA1H0VQfNcHrleQ+vNYJImmaSxZQlanAQpdkpadZdA43fHijS7bWYeRKNNeel/MDE4mGtNmiLyvBfcvAnngACTGmaM3zCpIlKYqghYfV6cmA/rBoJvGei9V1VsbFEZEYy4HXNbCZaLjBtnH55O1Lu1AAAgAElEQVRVUpeLEhcvHqWyl1Lqm9fLV8/43da2COqpzoLXzZibSnkTsfjs2P1jSjDnxSNfpnypwfSKvhWV3frpHQcWNqOP5iYedo7seG+/skvy2ZGi0XCtcROSbt0i51df4t0pbXA9Pdmv+jw6Pom6E/cQ9jiBoY2K0L9OICJ94vVmzUm8cYNljT1ZUTae2Q1nU8W3iiFDpOljdb9htAVSgLkIqGJuiIfV85rCvb/BuwD02g4e2cxlspT7HwTEAi5xDRLXossRl4mIj0gNkItFvyI4rknRmIShWPjUrnA75brm7PA8y5NJhKtNyJr+cGohlO0CLadbRLvH+w9w64MPwM4O/4ULcC9f3iTjqsJnmMQSKcTUBFQ1N5ITYHolXYmQWsOhzhemNlfKsyUCIgvI/bNwfhVcWg/Rd3UBclKMs6JgPWjzK3jYZjYwZfFuv/6g0ZDl3XeJWruWlPh4cv3vW7K2b28cGz17q8pv6KmzbCYJSALWISAD6NbhLkeVBCxGwJibgspjt/MgOoE1/atTxs9KKdSXdNbdaBaoDV1XK1/E5WE4AbHTfNyRcUoQQBwBXgFKavIaeWtQzqfc6/8QyXB0/97z3EpCvxpE+IVMuFeqiP8ff5hslIlbLjNtVxDeHs5s/aQm2T1dUmWL3YLii0fWLl3INWqkycYUgozxGyZVRApTFQGrz4sn4bo07uIB+kAR7MivKj5qV0YEH86FndMFzB+eVd5HJES8pHYWlyyIoHmpHKWURVVlcpQxaCeA2nkYq1+yNllhKILph+4dUsp/vBjcsbezp2T2kqnp3kvnKP3yju4nYXz8R1X2uLvSOaApw2v9kEat6C1buTNoEA6ZMxO4exf2bvrtqEjPttWn7jB46d+4ONqz/dNa+Hm7E7FkKfe//prH2d3p1SuBTiW6MLzS8PREpfu51f1GuhrKBtYioJq5EfMA5taHyJuQtxJ0XwtOpvlfsxZbtY8rFiTdirnF6YenUxdwXYq4hPCr6R2uDq6I7B/iR1yvnr3P7PyP31/4XCxMOnz3MCuurlAyb4kd6eIQ/VsWbEnbwm3Jn/k1vKcQQZqJhXW7FntsAv9q6eE1+nPN4ydcf6cFyXfvkbVrV3KNHGG0zGcCVOMzTGaRFGQqAqqbGyJYKlJsO7nDgJPgZYXNKKaCK+VknIAImodegHN/6QLnj679iww7XXYQkRkk9cdTl7Xgxd/TvPeETLl0Nc/t7TOumwp6xJ0/T0jXbqTExpK5VSt8x43l0bzfCR0/HntPTwpsWI9Tzpxm11R1fsPsFssBJAFJwFACMoBuKDnZTxKwEQKG3hQkJmsp8uUmscGV46PqpwncWdT0RzdgemXQJECHRVCsuUWHf10Gu/v4LuOPjVfS8Yojh1sOhlQYotQ5tZOLEgw/zSkpaKfXIGh2KJoEB6Pr0/5TEfF/KOrVXrofQ6MSOfmlS/nU8/Vsd4e9uzuBe3bjkCmT4Xb8o6ehfsNkCkhBqiSginkxvwXc2AsNvoXqg1TJSQ1KJWmSuBJxJTVYLnaYB0cHv6SaKM0h6niLYLkImpfOXlpJQy6vCxk/i48THyu70kUwXQTV/8lbBHAq5qxIldxVlF3q+b3yc/vAJJoF/U6KnR3rWq0jIHPabCLBHd8j7u+/yda3Dz6DTDffRfDqvdmHOXz9EfWL+TCne0W0cXEE1amLJjKSSa3tuVU+L5vbbjZ6LqjCb2T8dMoeFiCgqrnx8DLMbQjxkVCsBbSfD/bGlUuwAEKbGUIs4HqW6UQs4hKLj0R69X8eIs26uBaVyFaCHO45XgqQi2C5q6hZb8Rx7/E9VgWtYuXVlYTGhqZKqpCzghJIb+DfABeH5wtWjRjK+l1PL4FVvSFrgG7hoQW+89375hsi/1yCU968Sj1b8T3FVIeqfIapjJJyTEJAdXNDPEQT15TbRy2a/cEkMKUQwwmEXtQFzMVP2JXncsR1q1BDKNFal0nNJZMuQC4WWFjALxtukOl7Jt25w42OHdE8DENJ2T5rFnbOzoisW8HvdSL+zBk869Qh74zpRn8HSU971fmN9BSWn0sCkoDVCMgAutXQy4ElAcsQMPSmICT8CbUm7FZ2J136X2Oz37z8J42dY2DvBMiSD/oflbtCMjB1RDrE+efn8+uZX5V07Q52DnQu1pm+ZfriKVa7ysM4Atd2EvW/Ttw9nBXHnD4E7tiBnaOjcTL/0fvC3WhaTt9PkiaFyR3eolXZPEoLEQC53rwFideukfOL4Xh3726ycQ31GyZTQApSJQFVzItjc2DDZ5CnAnyoWxD0ph/CF9x5fEcJTohd0OL1YvjF1NrlL/IRKcZfDJYX8S4iM4+YaQKJIM3he4eVYLp4/edu/5xuPmR5HMZlBy3VPfLxS7sNaTSJPXmKkE6dsHNyInDnDhxz5DCppkGhMTSevI9kbQqzu1WgQfGchE6ZQvjMX7iS155RXe1Z0WIFYo4Yc6jCbxhjgOxrNgKqmxvBB2BBK9AkQpX+0His2Wx/nQX/cwGXCJiHRIe8ZLKzvTNFsxVVFm6JDB0icJ7HM4/FvnOK3e4H7hxgxZUV7L2zF22KVtFRBOlbFGihpHgvmKWgbZ+qZ4sO64yEWsPMbsuTw0e4+f77yjj5fp+HRxXjy4C8qLTqfIbZicoB9CWgyrlx6yjMbQDYQZ99kKuUvubIdrZE4OGV50Hzhxefay4WYhVqoAuaF26kC5q/4YcmOprgTp1IDLqGS6FC+C9elGYTSMLVq1xv0xaSksg9cSKZmzczKzFV+g2zWiyFSwKSgKEEZADdUHKynyRgIwQMvSk4eC2MTrOPUCC7BzuH1LautSL93LSKEH0H6oyCWkOtq4+NjH7wzkHGHh2b+tBK7KwYUXkEhbIWshELbEDN+e9w49fzxIc7k2PwILL36WMWpafuuMqkbVfwcnVk6ye1yJVZt/smYskS7n/9DU5+fkotdDsH0+yWMtRvmMV4KVQ1BFQxL0Sq3UkioJcCg89BFj/V8LGGIrtv7ea7I99x/8n9l4YXQQCRQlwEJ5SU7NlLkcXVSuVYrAFHRWOKwMylR5dS072fenCSxBdqzU+vNpaahVqk0fj2gAHEbNtO5nZtyT1mjFms+WHzJWbuvkaeLG5KKnenqEcE1a1HSlISI7s50LDZx/QpY9x1TRV+wyz0pFBjCahybpxdASt76Uxr/D1U6Wusma99//C4cI7eP5ruAi5/L//Ua5EImBfJWgQnBydV8BHX0NVBq/nr6l/ce3IvVSdR3koE0sWudGN3vlvcUFGSYPLTgN3gs7qF6GY8tLGxXG/ZiqRbt8jSoQO+33xt8tFU6TNMbqUUaAgB1c4NkcZd7EaW5QgNOa3q7RMW9DxoHnr+uZ72ThBYXxc0L9IEXL3Ua4OFNdMmJnLrgw+JPXoURx8fApYuwcn35dIGD6dPJ2zqNByyZlVSuTt6e5tNU9X6DbNZLAVLApKAoQRkAN1QcrKfJGAjBAy9KVh+/BZDV5yhRqHsLOhV2frWnlsJK3qCoxsMOA6Z81pfJ5VqIHa9TTg+gW0h2xQNs7tl57MKn9EsfzOL7epQKRrTqnX3FHHfNyB4aw7dDsHdu3DMls20YzyVlqzR0mbmQc7cjqJ2kRzMe7+ici7Fw6qrteugjY4m74wZZKpbxyTjG+o3TDK4FKJaAqqZF/OaQsgBaDQOqvZTLS9zKiZ2+P144kcWXlyoDONo70jRrEWf7y7PURqx21ymYjfnWTBQ9tVtxK3sxSm7BA5nzoFnqXf5oNooRM30Z0diSAjXGjcRqUYosH4dLoGBBg72391iE5Np8ONe7kTG0b9OQYY2KsrdL0YQtWoVB4vZsa1XaZY0X2LU2KrxG0ZZITubg4Bq58b+n2C7CP7ZQYcFupTu8niJgChb8du531hwYYGS5erFw8vZS7ke2doCLo1Ww8G7B5Vd6Xtu70GTolHMyuScKXVXus0sRN79A+weC/lrQvd1Zp/B98eOJeKPBTj6+lJg3VocPE2f6Uy1PsPsdOUA6RFQ7dxQyhFW0mU26bxCtyNZHrZJ4NH150Hz+2ef22DvCAXrPg2aNwU3uVj5nydYZEu7O+xzotetw97DA/9FC3EtWvSV8yAlMZEb7dqTcOUKXk2bkufHSWabL6r1G2azWAqWBCQBQwnIALqh5GQ/ScBGCBh6UzB5+xUmb79Kx4p+fN+2tPWtFXWkfm+mC5qUaAPt51lfJ5VpIAIq8y/o0rXHJccp6drfK/oe/d7qpzz4kYeJCSx/n7u/7SLqhjteLVqQZ8J4Ew+QVtzVBzE0m7ofURf9h7al6FBRt5PkwYQJPJr7m1JDyn+eaf4vDPUbZgUghVudgGrmxZFZsGkY+JSAHhvALavV2VhSgVvRtxiydwgXwi8ow3Yp1oVB5QbZ3u44S0JTw1jiPubQNNj2FYhUwX5VdME5T5+XtLv/7bdELP4Tj1o1ldqA5jy2nr/PRwtO4ORgx6ZBNckbcYcbLVuhtYOP+zqwpNcOcnrkNFgF1fgNgy2QHc1FQLVzQ/yvbvgUjv8Gom5p9/XgV9FcGGxOrvi+sfzKcn45/UtqaYrALIGITFdiZ7n4eR0WcIn66GJX+sorK7n75G7qeSqTo4yyK71RQCPcxMJutR0RwbBvEvy9GLTJ0HoWlOloVi1jT54kpHMXZdGX3+zZeNZ42yzjqdZnmMVaKTQjBFQ9N7aM1N3/5SgKfQ6Ag2nLvWWEk2yrB4HEWHh4CUQ989ALT18vQszz6wB2DrqsAiXbQJGm4G6+XdJ6aKz6JqGTJxP+yyxwcMBv1iw8367+nzrHnT1HcIcOoNUqtdAz1a1rFhtV7TfMYrEUKglIAoYSkAF0Q8nJfpKAjRAw9KZg2IrTLDt+m08bFGZgPZWk/BYrPWfV1D14fn8DBJjny7mNnNo0aooaq2OPjCU4Olj5u0g5OLLKSApnLWyL5qhf50fXSZ5YgaDVPqRo7QhY8idub71ldr1/3XuNsRsv4eniyObBNcib1Z2kO3cIatBQ+YKRf+0aXAsbf84N9RtmByAHsCoB1cyLmPswtTwkPtalJH33D8hd1qpsLDX4phub+ObQNzxJeqLUaR1TfQy1/axcZsVSxtvyOEnxsG4QnHm6m7tsV2g2CRxdXrIqOSKCoDp1SYmPJ9/vv+NRxbxZgMSukA/mH2fHpVCqFczGog8qc6tXL54cPMS6SnYEjPyad4u8azB91fgNgy2QHc1FQNVzQ5MMSzrB1S3gng16bYNsNl4P28gTKXzF9pvbmXxiMjdjbirSArwCGFx+MHX96r62GU9ECQ7xPUvsShdlU5JTkhXbxUJlZwdnHO0csbe3V35/8b343cHeQfn7s/fK53b2yt//+V78TWQNE4sPRLp7Py8//Dz99E9zHxEC+yY+D5wLJYs00y06f8W1xsjpkNpdGx/PjVatSQwOJnObNuQe+52pRL8kR9U+w2xWS8H6EFD13IiLgJ/LgnhtPhkq9NDHJNnG3AQ0SRB+DUQKdiVY/jRgLrIGiFJh/zxE0Fxk9BDp2UVmGhk01+sMRSxbxv2vRittfb8bQ5a2bfXqFzpxIuFz5uKYI4eSyt3By/Tp8FXtN/SiJBtJApKApQjIALqlSMtxJAErETD0pqDznMMcCApnUvsytC2vonTpGz6DY3MgZ0n4aM8bv4JX1OybcGwCW0O2KjMsm2s2JV178wLNX9sHWVb6V0o77PpPCF+wjNDTXrgWL07AyhUW4a3RptBh1iGOh0QogY6FvSpjb2/H7QEDidm2jSzt2+P7v2+NRmSo3zB6YClA1QRUNS/u/g3LukFkCDg4Q+NxUKEX2NmpmqGhyomsIj8c/YGVV1cqIsQiqR9q/kAuj1yGipT9LEUg+h4s7Qx3TqDsWBFztdJH/zpXw2bO5OGUny16bbn1KJb6P+4hIVnLlI5vUS/6Grc+6k2sC8wfU52fW8wxmJaq/IbBVsiO5iCg+rmR8FiX/ere3+BdAHptBw/zlOoxB19Tyjz54CSTTkxS6pyLw9vVm/5v9ad1odY4iZqvb8gRFheWuiv99uPbZrdaBNt9PXyVoHo+L11g/dn7vJ55dcF1JXAudpwv0u04F0eBOlB7OOSrYnYdn2XCMmeQ45kRqvcZZqctB/g3AqqfG4dnwubh4OEDA0+Ci8wOaLHZrNVC1E14IHaTv7CjPOwKaJNerYZYOOdTXPeT8+mryCAga5pn6LQ93rePW336gkZD9n59yTFwoN79lcVZLVshylplbteW3GPG6N1X34aq9xv6GiLbSQKSgNkJyAC62RHLASQB6xIw9Kag9oRdBIfHsuSjKlQpYLqHRcmPHvHojz9wKVQIryZNsLN/XvNTL1Kxj2BqOd0K3qYTodKHenV73RqJ9IkLLi5Q0ieKwIp4wNKpaCeZrt0SJ/pxKCmTSnJtTWaSYh3x/e47srRtY4mRlTGCw57QZMo+4pI0fNuyBN2qBhB77BghXbth5+pK4K6dOGY1LqW1oX7DYhDkQFYhoLp5ERcJq/vB5Q06HqXa63Z2uJi+7qZVgD8dNCgiiKF7hxIUGYQddnxY+kP6lumr1D2Xh8oJiKD5ks4Qcw9cs8C783UpH//l0CYkEFS3HprwcHJPmEDmFs0tZuC0nVeZuPUKOTK5sP2TGtxr04KU4FssaODEyB8P4eHkYZAuqvMbBlkhO5mDgE3MjZgHMKe+7uF73krQfS04qTBttzlOEHA96jpTTkxh562dyggiZXn3Et15v8T7BvsEM6lqUbFiV7pI8Z6kTULUTRe/i53pL75X/qZNVuqoa7Uvfy7ais+Uz1O0JGoSEQujxe7+m9E3lVfxHe/fDnvs8bV3xv9JJH5JSfgnJeOfrRh+lfuTt1Az/XeuG0Eu7swZgju+9zTN7gwy1a1jhLT0u9qEz0jfDNnCDARUPzeSE2FGZRB1tGsOhbqjzEBBikxDIClOV4pl/2R4EvpqOM6e4FPs6c/TQLkImnvmkDCNJBB/4QIhXbqijY0lc8t38P3++wxvOIk9flyRIY58v83Fo1o1I7VK2131fsOk1kphkoAkYAwBGUA3hp7sKwnYAIGM3hRcj7zOncd36TUzhkSNln3D6uDn7W60pSLtX8ymTdz/3xg0ERGKPNcSJfAZNgyPypUyJl/sQBc70cXD6IGn3rj0SYfvHVbStd+IEumloKxPWUZWHkkR7yIZ4yhbG0Zgx/+IWTKV2/uy4ZA5M4F7dmPv6mqYLAN7zT8YzOi153FzcmDToBr4Z3PnRpu2JFy8SI7PPiX7h8YtLMmo3zDQDNnNxgiocl6IWrUHp8L2ryFFA9mL6FK6+xS1Mbovqyuum39d/Yvvj35PvCZeSe06rsY4qviaf0eZzcNTgwGnl8LaAaBJ0NW9fO9P3S7W/zgili/n/pdf4ejrS+DWLdg5WW5nZ0KyhiaT93E97AnvVwtgUNx57o8eTWhmSFj8Iw0LNjGIqir9hkGWyE6mJmAzc+PhZZjbAOKjdGlb288HewdT41CVPLHTeubfM5WsJyLAKxbqtinUhn5l+pHDXQYWLHGyxD2AOA8h0SHcirmlvCrB9YggJcAeh+Zf1RDnK7dHbqUe/bCKw8jmZrrF8M8G1SYmcqNNGxKDruHVogV5Jow3Oxab8RlmJyEH+CcBm5gbF9bCsq7g6AYDTkDmPPJEmoOAWKxwagH3909gld0TNnp4EOnggL0onWEvSm444+DoovtxcE0ttSH8pvhclNx49v5ZyQ3xNy9nL+U6WCFnhQwHgs1hppplJt29S3CHjiQ/fIh7lSrk+3UWds7OBql8/9v/EbF4MU558lBg7RrsPQxb0PuqwW3CbxhETXaSBCQBUxOQAXRTE5XyJAGVEcjITYFYCd9tUzfOhJ0hMbICSaHNuPxtG5wcMrhL/B8MkkJDefC//xGzbbvyiXNAgHIzpX3yRPnds25dfIZ8hkuB/36wnCpWq4FZteDBWV3K3uY/qoy6edR58OQBE49PZHPwZmUAkT7x0/Kf0qJgC+UmXx4WIJAQAz+V4OZmB57cd8W7V09yDh1qgYHTDqHVptB5zhEOXQ+nYkBWlnxUlZjVq7k3YoQu8LJtK3aOhu9OzYjfsLjxckCrEVD1vAg5BCt66Hb6OrlDi5+hdHursTJ24MeJj/n20LdsCt6kiKqWuxrfvf2dEkSXh8oJiHuUHd/AgSk6RQs3gTa/ppv2MUWr5XqLd0i8dg2fzz8nW4/3LW7ovqsP6Tr3KPZ2sO6jCiS92xiXmHj29KlEn8HzDdJH1X7DIItkJ1MRsKm5EXwAFrQCTSJU6Q+Nx5oKg6rkxCbFMv/CfOadm5e6+7m2X20GlxtMwSxvdg14q5+oF1K1p2iTCXOwJyRfJW4VbUCIo+O/7lzP45mHqXWnUihrIZOaEDp5MuG/zMIhWzYKrF9ndPYrfZSzKZ+hj0GyjckI2MTcEIt+5zWFmwehTCdoPdNk9ktBgFZD0unF7D04npX2cRxwc0VrhtJepbKXolfJXtTJV0c+g3vFxNNERxPSuTMJV4NwKRSI/6JFRtUv1zx+wvV3WpB89x5Zu3Yl18gRJpvuNuE3TGatFCQJSALGEJABdGPoyb6SgA0QyMhNQYImgZ9O/MTii4tJIQU7TWamNviOWn61DLJUrJyPWrOGB+O+RxsVBY6OZO/dm+y9P0ITE0PY9OlELF2m1MTBwYEs77Ynx8cf45hNj1Xy4kHW701BBI5FLXTf0gbpaAudRHrARRcWMfP0TGKTY5Ub9Q5FOvBx2Y+VlbDysCCBg9NIWPEV1zfmVOrXFty2Fee8eS2owPOhRM3axpP38iRRw8imxehVOQ9BdeqiefSIPJN/wqtxY4P1yojfMHgQ2dHmCKh+Xjx+CCt7wY09OrZigZWoN+3oYlOsz4edV1K2ix1nYsfDgLID6FGyh3xIYwtnUexQXfkBXN2q07bGZ1BnFOhRriZm925u9+mLvacngbt34eBpnVIEHy8+yfoz9yibLwtfR67H+Y/VBOV1pMnWUwaVDVC937CFefWa6mhzc+PsCt01RhyNv4cqfV+bMyNSja8KWsWMv2cou57FUTJbST6t8CkVc1V8bey0SUMib+pqnJ9a+EKN89pQazj4V33JpGc7169GXuW7w98pgXVRgmN8zfHUzFvTJAhEat4b7d9VvsPnmTIFr0YNTSI3PSE25zPSM0h+bjIClp4bYtFj5IoVhM2YqWRVzD32OyUzXbrH7RMwpy5gB73FM6wy6XaRDdIhoNUScuo3/joxjTUOiYQ7Ps8QU8GnHG2LtKeYd7HUchkvls8Q1z5RQuPFvymlNV4ozfHs8/Ph51kdtBrxzFQcAV4Byvez5gWa4+xg2O7q1+3cpiQmcvOj3sQePoxjjhwELF2CU+7cRpv5eP8Bbn3wgfL8zX/RQtzLlTNaphBgab9hEqWlEElAErAKARlAtwp2OagkYDkChtwUTDu4lZnnxmHvonuAIm4Kh1caTmYXPb4UPDUt6d497o0ezZO9+5S/uBYvju+4sbgWSZtmPOH6dUInTuLxTl1tPZGSJ9uHH+LdvRv2bunUGFzRE86thHzVoMdG5YbqdTuO3juqpGu/FnVNMa1MjjKMqjKKot62n57Y5s6VSAc2pQz39zwm4oonnrVr4/eLdVeOLzl6k+F/ncXZ0Z6NA9/G68/fCJ/5C27lyhGweJHBiA3xGwYPJjvaDAGbmBdi9+/u72HvBCAFfN/S1Z3OGqB6zuKh98KLC/nxxI9K3VRfD1/lgfdbPm+pXnepIBAWBEveg7Ar4OgKLadDqXZ6ownp1p3Yo0fx7tmTnMMsn9nkmaIPouOpN2kPjxOSGV/Xl6KfdMZJA7HTv6R8vU562/OsoU34jQxbJTuYgoBNzo39P+lKhojgR4cFupTuNnyI687uW7v56eRPqaWh8nrmZVD5QTTybyTT1Frz3GYwcP4qVSPjI/lk9yccf3BcWYQ3tMJQOhfrbNR5FQGSG+92IOHSJTI1akTeKZMtRskmfYbF6LzZA1lybsSdOaOUJYw/ezYVupN/PvymT8clMDD9E7GiF5xbAQE1oPu61/IZVvoQjG+RkBzPtiM/8tflZRxzeF7SwtvBlZaF29GmSAcCMpv2+194XDiLLy3mz0t/EpMYoxjh4+ZD1+JdaVe4HZ6ipvobeoj7iXvDhxO1Zi327u74L1ygPAM21XH3ixFErVqFc/785F+9CnsX4xfIW9JvmIqDlCMJSALWISAD6NbhLkeVBCxGwJCbgll7rjFu81mKFz/InZQtyqrMbK7Z+LLKl9Tzr/efuosbp8hlywkdP15J0S5q3WT/+GOy9eyhpJS+ee4Mx9f/RXY/fyq+0xa3TLod1E+OHiV0/ATiz51TfnfMmZMcgweTueU72P3bzq2o2zCtIiTFQtu5GXpQbbETYOBAos7d9L+ns+mGLn2vSNf+SflPeKfgO3IXooFMje7292K0y/txdV0utIl2+M3+Fc8aNYwWa4wA8f/W4/dj7L78kDJ5M7O0bSA3GjSA5GQCVqzArWQJg8Qb4jcMGkh2sikCNjUvrm6Hvz6EuEfgmhla/QJFm6qWt3jI/eWBL9l9e7eiY7189fim2jcZWrimWuPeBMWCduhKCIgd6F55oOMiyF1Wb8vjzp0nuF07JVOPKMHh5Ourd19zNJy7/wb/W3+BLO5OfBM8icIHb3K3UgD1/tDdk2TksCm/kRHDZFujCdjk3BApeDd8Csd/0y2U6b4e/Gxzh/aZh2eYdHwSJ0NPKucyi0sW+pTpw7uF38XJwcno8ysFGEggNXC+CLRJOiEF/n3HeXqjJGmSGHNkDH9d/Utp2r5we76o/AVO9oad44czZhD281QcsmShwIb1+mWOS09JPT+3SZ+hp22ymXEELDE3kh894uFPPxG5YiWkpCgZg7y7d1eCeqLms9gIknvCBDLVrfPfxoj/8ckKjZkAACAASURBVKkVQOxkfm8pFDE8a5xx1Gyz9+VHl/nrxFTW39lLtF2KYoRdSgrV3XLTrvzH1CzQxGD/pi+RJ0lPWHFlBX9c+IPQ2FClWyanTHQo2kFZpPQmltx6+PPPSkYGkVlUbDIx9XMyTVQU15o3R/MwjGwffYTPp5/oe7r+tZ0l/IbRSkoBkoAkoAoCMoCuitMglZAEzEfAkJuC0WvOMf9QCH1rF6RJ+UTlof71qOuKko0CGjGi8ggloPvPI/HWLe59+ZWSskccbm+9he93Y3ApWJCwWyHsW/w7108eS+3m4u6hBNHLNXkHJ1dXRCqs6A0blS8m4kuIOFyKFSPn0CF4VKv2akhil+HOMZApNww4Ds4e5oNpRskiEBoUGcT2kO1su7mNqxFXldHEbgHxIEuka89IBgAzqvpmitZqYWZVIg7d5P7xLIhV5gU3bfr3xR0WpHQ/Kp6GP+0hOj6ZIQ0L03rjr0SvX0/mli3J/cP3BmliiN8waCDZyaYI2Ny8EIuslr8Pt59ed6oPgrpfgYOjqrifeHCCz/d+zoPYB8oDn6EVh9KxSEejdoipysDXWRkRTDs8A7aOghQt5K0EHRZCppwZsvrOZ0OI3rABrxYtyDNhfIb6mqNxskZL86n7uXQ/hna+Z+k1cz5aOwjctg2XDJYtsTm/YQ6gUuYrCVhrbiTevMnj3buVn6TQULy7dSNL+/b6+1xNMizpBFe3gHs26LUNstlOffBb0beYfHIyW0N0pSZcHFzoUqwLPUv1lKWhrPm/GhEMIsPBqRcC5/lrQW2Rqv1fvgfrqa/4nikCPWLBhCjTVtm3MpNqTcrwd8v4y1e4IRZ7JSWRe+JEMjdvpqcGpmlmLZ9hGu2lFHMSMOfcSNFoiFi6lIdTftaVJQTle7bPkM+UNNUisH5n8CdKFiGRETHHwAFk69Pnv68p20bDgcmQvTD0PQhy0dJ/Tg8RsBYbS/46/wdno2+ktvVN1tA6a0la1/yWXNktn6FRLFBaf309887PS83i4mzvTKvAVrxf4n38vPzMOe1VIzty5UrujRyl6JPrf9+StX17s+gWvW0bdwYMVIL0AcuW4lbCsM0iz5Qzp98wCwApVBKQBKxGQAbQrYZeDiwJWIaAITcFH8w/xvaLoYxpVZIuVfxJ1CTyy+lf+O3cb0rtoKwuWZUgugim29nZKYHviIWLCP3pJ1Li4rBzdcXnk8Fk7dKFJ9FRHFy2kHO7tpOSosXewYEStepxP+gKD28GKxA8smSlarv3KFmnIQ6OjmgTEohYuJCwX2ahjdGlRvKoWQOfIUNwLVw4LbikeJheCSJDoMYQqPelZcCaYBTxMOPCowtK0Fz8BEfreIhD1L2tkrsKA8sOpHg206U+MoHab6aIy5tIWdyRG1tykhDpgM/wz8n2/vuqYbHq1G0+WXoaJwc71tTNil3/ntg5/Z+974Cv46jW/7beXtSLZbl3J3aaa5pDGpBQXkICJOFRHoSaQCgBQkIg8Hghj4SSBAIJJUAgPEgjvREcO7ZT3LvlKlldurq6dfv/d2b3Sle2JN8rybLk/x15PLO7s7OzZ+fOzs53znckTP/XqxBLS/Nu51DGjbwvUjhh3ElgXPYLcr3w0m3AOsfdwqTlwJW/BQKVJ1z+5F/vwS0P4v5N9zOml0nBSbjr3Lswp2TOCW9boQE5SEBXgKe/Amx03GUsvBa47G5AzI9SkBQG6y66mPmSnfLYP0aU7jCHuxiwyDsHO3HFL9cAnII7N96KU/eb4D/8fsy6PT/FrHE5bgxHcIVzc5bAaPUNS9eRXL8e8df+zUBzdZ+tFJwd6Duj6o4fQKooz639Shz4/XuBpo1A8VTgUy8DvpLczj1BpSLpCB7Y/AAe3fUocxPCgWPMVqSkW+k78e/EEySW0b2soQGRg7arj449QLsTKZ/s6G3LCAHnR94c0fV/Y+U3kNJTzH/vve+6l809cgn0Ozpw9YeR3rYN/gsuQM199+audJLLBXIoM1pjRg5NKRQZYxI4Xn0juX4Dmu+4A8qOHeyOybij8tbvHOWD2dI0tPzPnYj82Z4TBi6+GNU/+m9mld5vIMain59m/+7f+xPgrP8aYxI98c2htbLN7ZsZe8Zz+55ByvE9LloWVqQUXFF1NpZc8AMIxPx0ggN9x/2r/l/47ZbfsjZTIEOYiyddjE/O/+RJ/W0Xf30V6j/7WfYdU/LZ61H+5S8f16fR8OWvIPb88+y3OOVvj7I1r6GG4zVuDLU9hfMKEihIYOxKoACgj91nU2hZQQIjIoGhTAou/elKZnX0u0+chRWzeheStnVsw22rb8PuyG7WNqKY/Wblx5C+4ydIrbfp/7yLFqHqB3cA5WV466nHGF27rijs2IxFy3D2R/4TxdUTGOi+c/W/sfpvf0K0tYUdL6qqxvKrr8PMxcuZZa8eiTAaoMhf/sIoqcHzCF9xBUq/9EVI5VkLXDufsS1BBBn4wjp7IWuMBppcE2XiSwdfwiuHXsHh+OGelpLl4bLqZbhw0oVYMXFF3lYBY/SWT45mPXQJku+sx8FXS8F5PJjx2r8ghEJj5t7oA/P6P76DF7e3YE5VEPetvhfK5s3MfULZF7+QdzuHMm7kfZHCCeNOAieiX1DfNiIRqAcPQjt0COrBQyDrQa2hAfLUqSj93GchT8xBu3/b48CTXwLIX52vHLjyIWDKuSfsGbQl2/CtVd/CuqZ1rA2XT70ctyy5BT5pfLKonDBBnqgLx1qAR68FGsjaiAcu+W9g8WeH5MeSFlw7f/97eJcswaTf/+5E3VG/173575vx6Nv1WCHch2/8Yz90j4y5K1dBCARybueJGDdyblyh4AmVwPHsG0ZXF2hRl1mav/46zO7u3nsVRXjPOAP+888H+XNuv/deEPjBh0KovPVWBN/7ntyAQRoHHrwQiB6y2Sf+8ylA8pxQmfZ38bSexp93/JkpbMW1OCuyvHo5cw01q3jWmGvvSdGgREcvQJ4NlEf2A6Y+8C0eJ+A8+4JEf/zFV7+I5kQzYxy45/x7sKhq0aBiz2aZ44NBTP3nP3NXNhnBB3o8x4wRbGahqhMggZHuG3p7O1r/9yeIPvEEuxvq92U33oCiD38YnCAMeIddf/87mr73fcbS4Jo5EzX33wd5IOaeN38DPPs1wFsK3LABcNuuDf9/DUSFvq19G7Z2bGUprT12KV094pisarginsTlky9FyYrvAOHaMScq+m59u+VtZni06vCqnvbRGh8B6YsqF+U2vziOd9bd3op969/Gwc0bwPM8imsmori6BsUTJqK4agJjBs01JN9+G/WfuR5mMong+y5H9Z13Hvf7o9/mvvdeBqJ0L/vyjSgl8H6IYaTHjSE2o3BaQQIFCYwDCRQA9HHwkApNLEhgOBIYyqTglNtfQCyt48WvnIuZFX0XSYmmiBZgHtz4AC5dp+HqlSYkA+C9XpR/4+sIXnEFtr72Et74v0eQjNoT3qqZs3HeNZ/EhNlHW1IbuoZNLz2PtY/9FalumxKrYup0BrRPPtX2H6oeOIDWu+9B7EWbapDzelHyyU8yv+p0XfJBhT/9B7D3VWDWe4GPPDIckY34uWTlsb5lPQPNXz30KlpTtp8kCh7Rg7MnnI0Lay/EuTXnwi/7R/z6hQqHKYFDa4HfXoKGN0oQO+RC+KqrUPX97w2z0pE/vS2mMCr3SFLDj0KNWPiHuyGUlmL6q6+Al+W8LjiUcSOvCxQKj0sJHK9+QYsNeltbH4BcPXQQmgOWm3F7wb/fIIoouupDKP3c5xiN4qChvQ7428eA1m026LniFuDsm5hy1miG1YdX49urvo3OdCd7B9yy+Ba8f/r7R7MJhWsNRwKH1wN/vQaINQLuEHDl74Dp7xpSjUYshrrzV8BMJDDx1w/Af+6JU+ro7wY6Eyou+MlrSEiv475n/o6J7UDJ129G8MPXwO3LzeLjeI0bQxJ44aQxJYGR7Bv0HlH37mWAeey115BavwEg9ztOIH/N/vPOZaC5b/lyCMFeoELZsweNN38T6e3bWenAJZeg8ru3QSw+2l3VUQJs2wU8dBFA1oRzLgc+9AeAHxhcGc0HQEq7z+x7Bj/f8HMGllKYXTwbN51xE5ZWLx3Nppyc1yJr8s79DlC+G6A5RgYsT3UOfM+S16b8L5lh0zeXzgBKptvRNTrfge2pdtz46o3MUlLkRHxnyXdwxcwrjmozUVd3PvxHtP3sZ7DSacYyV/3jOxG8+OIT8kxHcsw4ITdQuOhxk8BI9Q1iWog88gjafv4LZL4/QldegfKbbsrtnQCArNYbbrgBRns7U7if8LOfwrdkydH3TmPI/UvtcYO+Ry787nGTz1iruCvdxQDyre1bWUqAefYaWaa9LtPCxYkkrojFcfr0y8BdcMu4cZlCykoEpL9w4AXG4klhXsk8W2HJAmMfI5calFLob3ugY7IgM5bKhWULMS08jVm7DxRMw0Dj7h3Yt+Ft7F//FnOtOVgIlpXbYHp1DUqclEB2TyDYA44n33oL7b/8FRJvvMGq8i5ejNrf/BpcnmtOQ+2X0aeeQuM3bmbW51Mefwyu6dOHVNVIjRtDunjhpIIEChIYVxIoAOjj6nEVGluQQP4SyHdS0J3WcOrtNlC97XuXwOc62lcs839281eBnXWs3MYpHDZ+Ygk+VH01tvzjcXQ2NrD94coqnPPRjzPLc6J6HyyoqSTefvoJvP3049DSKVa0dv4Cdn7ltBlsm+gXW+/8MVKbNrFtAktIEzj0wQ+C66wDfrnM1uq/9h/A9AvzF9YInkGKBuua1zFqdgLNI0qkp3ayMDyv5jxcNOkiLJ+wnAEohTCGJfCXj0Db8Dzqnq6iLxtMefIJuGeNTYudZzY34QuPrIcME0+8/mNwHe3MDzr5acsn5Dtu5FN3oez4lcBw+gWxjugtLY4FeV9rcrIoJ/cfgwWxqgpybS3kSZMgT6qFWF6B6JNPIrHK1u4nZoji665DyX99qg8wclSdatK29sjQbs+4GPjgA4A3B6BkmI9OMzXcu+FetphCYWbRTNx13l2YGhq7rCnDvOWT7/Qtfwee/AKgp23g4yN/HdZCXsdDv0XrXXdBnj6NWfQda650IgT6yNqD+MXjb+KSxCrMap2BrvB0zDl3Es6/NjdXA8MZN07E/RauOXoSGG7fMFUVyTff6vVn3mB/f2QCWf8RYE7Rs+DUQa0GyQK9/YFfo/1Xv2KsV0JJCaru+D4CF1xwbIEcWA388QOAoQJLvgBc+t/HPuc4l1jTuAZ3v3M3dnbuZFeq8FbghtNvwGVTLxt0of04N2v8Vp/sBJq3AM2bnXSLTcM+mDV5sMYGxxlATul0+70RqB51xb3+BE/MBLe9cRvzK0zhY3M/xpQrBEcBhL73m269FenNNh0xAST0m6C52IkKwx0zTlS7C9c9/hIYib5BoGDz9+8AKVVRcM+bh8rbboVnwYK8b0BrbkbDl25AessW5q+54uabUXTdtUfP83Y+C/z1I4DgAi67BzjlyrxdAeXduFE+gfyXb+/Y3mNdTqB5NgtjpjkEAU/VDMxLpzBfUVmcqaqQZ18GrPg2UDE8f9ejfNs9l2uINeAP2/6Ax+seh+LQ0I9kWwJSAKeWnYoFZQuwoHwBTi09FXzawIFN67Fv/Vs4uGk90oleZXSO41E9azamLDwTgiSxtdvOw/XoPNyAVCyLreeIRrr9AYQDQbib2+A+3Ah/WoNfM1Bx6btR9e1vDf79PZI3DLKfshhtfOLfK+FecComP/LIoHO8gS4/EuPGCN9aobqCBAoSGKMSKADoY/TBFJpVkMBISSDfScHO5m5c+tPXEfZK2HhbX+1yRnP4m98w3+RES8UHA9h17TL8HG/gtB1BVHbadD/uQABLr/goFlx0KQQxNwulzP0mu6NY99ij2PjiszANm+Ju5pKzGbU7o363LMReeAGtP7kbWn09O+6aMYNZv/viz4Jbd7+9SPG5NwAxP6vb4cqcFiLeaHyDgeavNbyGGFEFOyHkCjFadgLNl1QtAWmNFsI4kEDrTuD+xWjbEkD7tgA8Z56ByX/605hu+Jf+sgH/3NSIzzesxOVvP8U+/if//f/yAmbyHTfGtEAKjRsxCeTbL7pfegnRx58AsyY/VM+ocgcMPA+pupotzEqTaiHX2kA5266pAT8AnVxi3Ztou/vuHsUqouAlEL342mvBewZRTlr/RxtIJyA0NNG2Gqw5Y8RklV0RLZYQC8l9G+/DpjZbAezqWVfja2d+DW4xd5q849K4QqW5SYAsWV+9A1h1t11+xiXAFb+xLdCHEIh2sOPBh9D58MOwFAVVP/wBc1EzFoJlWuhoTODwrggadkXQuKcLaqov5XBZkYmrfpSbomK+48ZYkEGhDaMjgaH0DaLujP97JQPNE6tXM9rQTCDLJ++SxQwwD5x3HqQJA/tF1VQF8c4OGJqGkpranjlSaus2NH7zZqh1e1m1pKRbQQvDx3JbQMo1//iU3ZSzPg2cdi1QtWBIbh2GI31ys0XAOTGdUPBLfnzqlE/h2jnXFt43uQiWWM2i9UBTBih3UtrXXyC3KwSMM4A8CywnC3N57Ltkoe/qX23+Fe7feD+7O1Lw/p8ldyD10J/Q/utfM2USPhBg39nhK6/M61siF3HnW2YoY0a+1yiUH58SGE7f0FpamTJj99NPs5snq/Gym25C+MorhgTKZSRoKgqab/suU/jNvE8qb/8ueJerV8g05pAC1r7X7H2+Mtsf+pmfBPxZLgvHyWOhMeVA9wGsbVyHre1bGB37/uh+Zml9ZKjlvZinpDG/uwPzFBVzVBVekgcxMk4+B5i2wjaKofF0nAeSS2t3O57a+iy69A5wbhOcwLExlQfPUvZH2xzfkxd1Hv6EG96YDF9Chi8uszyXtnDI1YT13FbskPdhn9wAd9JATasHNa1elHW5kG2+ROD3lIVnYMrpZ2HygtPh8ffvionWYrMBdQLWOw7Xo7utl0HzyEdBgDwB8YIoghdFCIIAXnS2BYGtB9vHKE+pBJ7tF7OOicxoas45KyDJWb+PQZ671tSEfZddzli8yr95M0o+/vG8e8lwxo28L1Y4oSCBggTGtQQKAPq4fnyFxhckcGwJ5DspeGVHCz71h7cxtyqIZ288p+cCtKDUdMstUHbtYvv8F1wAzxc/j7UvPYNdb6xk+3TexPbJMXjPno1bz/seqv3Vx27gACXIL/obf/sTtq96jVG0k0/0U1ZcjKVXfgT+4hKQ1QnRaxF1kBm1qd99SxahvHI13O424OIfAsu+OOTr53piUkti5eGVDDRf2bASKb3XirLEXcL8xJNP8zMrzwT5OC+EcSIBAs63PwFs+gus9gPY81wtjLiOCXf/BMH3vGdM30QkoeLin66E2t6BP7/0Qwi6hkmPPALv6bZLhFxCvuNGLnUWyox/CeTbL3b+7B7sfuz/2JKJxXGwBB6cPwAuGADn94Pz+8B5fYDXw2hBaXHBNA2YhgmLUtME0c4Rhai9P3PMZNtlk6bg9EsvR8W0GYi/+ipa77mnB/QghpLSL3yegZJE79ZvoAVyonQnn6Q0PpMf60WfHjbgQfdxKHaI+b4jEIN84WXeDWQlcPuy23Hx5BNDfzr+e+Eo3wFZHe77F0AKF5RSWP5l4F23DYmm2UynEfnTn9D+mwd75y7LlqHmV7/M29XGQJJIx+M4uGUjOhvrUVY7BdUzZ8MbCg8oOOqv0dYUA8sbdkZweHcE6bjWp7zoFrBLOIzK7texYv0ulEwvw9RHH83pYeQ7buRUaaHQSSGBfPqGUleHxm/f0mMNmxGAUFaKgGNlThS5vM+HDDge72hHLDt22tu0P9vKqmLqDCy54sOYdobtm5RAj7af/xydv/0d+wYhBpTqH/4AvmXLBpf7qnuAl2/vLROqBeZcZlO7T1w8pDEj1wfdkmhhSlpP7n2S0cASLfdVs67C9QuuR7H7+DOs5NrOMVWO6JPJipwsyxlg7oDl6V6fu33aWzQZqDwFqDzVifOB4IRhzxnGgkyeP/A8vrPqO6g9lMYNLwioaLEVHv3vehcqb7vthPg7708u+YwZY0GuhTaMngSG0jeIeYRcFLTfd5+tjMVxCF99FcpuvBFiUdGINJ7mWJGHH0bLnT9mbkXIWrbm57/o+5tS4sBbDwJv/hroPmxfl4wtTvkQsPizQNWpI9KW4VRimhaUhIZkTEU6piEV15CKqSx2dsXQ1N6CSCQGJW5AUt1w6152OU1QofEKLFGHKGrwIIWA3oUiKwkvl4LEpSFxCqRwCaTySZCqZ0KqnAbJ64LkEiC7BXgCMtx+CYIwui63BpOXoZlIJxw5xFU2b6ZIcrHzqi2jnm0Nht7rVobIOem+vEEJQb+MoFuAX+TgsQCXbkJI6+DiKqxEXwXWwdoU0yLoUlsQUVoQUVuxX6rH7rJ2NJSnYFT6cGr5qYzyfWH5QkYlfywlbvr+7n7ueXQ88Csk6/Yi4ZKQCPqgL1yAdHUlIh1tiDQdZoqIIxU8wRBOu+QyLLj4PfAGj62kHPnro2i+/Xa2jjD1qSfzZkgZyrgxUvdaqKcggYIExpcECgD6+HpehdYWJJC3BPKdFPxxzQHc+uQ2XDS3Ar/52JlsEan9vvvR8dBDgGGAfAiGvvE17IhHsPGFp2HoOvvYIG3BpoVu/HL/bxk1kVf0Mhq4D8360LCoAtsO7seqvz7M6IcoiLILp7/7cpz1/ivh9vlBVlxkEU8L0vQRRKqWoclJlJ5mQjzv0+Cmnw/ULgYn5abJeCwBE2C+v3s/dnfuxr/q/8UszrOpmCp9lcyfOYHmNEHN0OAdq97C8TEggbbdwLbH7di2o6dB0cZiNK50M5cB0195edR8Ow1HIi9vb8F/Pfw2vrL+UVx86C0E3n0pau65J+cq8x03cq64UHBcSyDffrH297/B6udsq4vjGapnzsEZ730/pp2+CLFnn0X7L+6FdthegJJqa1F2ww0IvufdTBHrqEB+a4mSe8c/7UPzPgi87xeAq3/N/IHug+gJ32x6E6sbVzPg/EhqwjJPGc6ecDY+c+pnUBOoOZ7iKNQ9HAnoKtDwFrD3VWDvK0DjRlL/sGsktoD33Quc+qG8r0A+Nbseewzt994HvdW24nDNmI6yr9wE/4rzh2XVR8okzXW7GVUjxea6PbAcf4qZhpJLHfqdsDhrDiRPKZr2dOPwri4GnCe6lD73JLoEVE8PYcKsItTMKkLpxAC++uTzeLPp67jhKQvn3fhjVFz6npzane+4kbdwCyeMWwnk0zeM7m7sXroMhmnCmjcHWLgAxtQpUNwyYp0diA0Ajg8mHPqmoN9KZvG3bPJULP2PD2P6WUvY+4JcRzV+81vQDh1i1RR99KMo/9pXwXttYOCoQJZzO58GNv8NqHsZ0Hqt45lV4az3AHPeB0w5d8RYsujdQ25BHt72MNJGmjWJ2K5uPP1GTApOGrd9Y8QbriaA5q0OSL7ZBsxbdwD90enyIlA2xwatMoA5UQd7BlZEGvH2jnKFZMG3439uA/7+LHgL6PZx8HzjBpxy1fU5jfOj1dx8xozRalPhOmNDAvn2jcSaNWj+wQ+h7rXZRgjYrrz1NnjmH5smnEBxors+uHk9Du/cjmB5BU654GLmM3qgEF+9Godv+ipTnqQ1hZp7f3E0NTwp9ex4Clj7S3sumglkjb3kc8DMS4+bIhaBwR0NcbQ3xBFtTSIZs0HgTEqgML3iTmRw+UR4AzIDnj0ByUlleLPymf0urzjo2EXPUFdNKEkdSkqDmjKgJCnVnX26nU/pUFkZnSkQZEBzLW37NM81CAACAoewxMPLWfBxHLw8B58ASMdydWlZSPMcNEmA5jKR0JoRix2ElNARkkpR5KqAT+wfbO6Wk9gtH0Cd6xD2uutZbJLaIfIiZhfPxtTwVJR6SkHfqZSyKIXheeVNxB96GOpB21867/ej6JprUPyfH4NY3KuUR98gyWgUpq7D0ElJgFKdMYmy1ImGs53Z1yc1SOZJ7Fj1rx5Ld5qfzTv/QvZ9X1Q5sFEWuYg79PFPIPnmm7Yf9t//Lq93Vr7jRq7Pu1CuIIGCBE4+CRQA9JPvmRbuqCCBPhLId1Lwo+d24IF/78PHl03GNyaqaLrlO1D37WN1+t59CZoWn4G3XnwaSiLB9k069TSce80nUD7Z9uF6IHoA333ju1jfup5tL6pcxKztJgYmDuvJNOzYitcf+QMad9vAJoHniz7wISy89DJG86M2NKDt7nvQ/eyzA1+H58CJIiCINpAiCDYtF6V9tnlmLanBgAIdiqUhbalIWQpLTQ4weA6tYWBfJYf4tErMWXwpLpx6KeaXzs9r0jYsoRROHr4E2vc4oPkTQOu23vrIGnX6u4C5H8CBO59EasMmlH7hCyj70sizGpiKAU7kwI2wVvXX/m8T3nn1Tdz/r7tZH5/+8kuQqqpyklm+40ZOlRYKjXsJ5NsvyAp2z7rV4HiBUbXROEspz7Z5lvbsY8ftcjzPs9+DXS6zL/t8nlnY7V6zCjtW/bvH3UewrJxprc89ewXSTz/DfNkaHR1M7q7Zs1H+lS/Dd+65R4/RtCJEi1Uv3Wr7M/VXAhPPAsrnAmWz7ZToA4VeS3ZaeCGqXGZl3rgaG1o3QM/yhUoLE2eUn4HlE5azOCM8o/BuGIu/AHr2nfscwPxVYP9KQO31E8iaXD7PppFceA1QMTevu2BuZ158CW0//SnU/fvZuWJ1Fcq+dANC77t8yNSg3e1tDCwnv4YHt27smZNlGkeU1MTQQEqIHQ02+Nc3yODFKvBiNTixGpKrGlUzyhhYPmFWMconB46y9ImmVJzzyEWwxE5cXHIzfnLZtTnJIt9xI6dKC4VOCgnk0ze6mpvw55tvQDrdy/Q0mBBo8TVQUopASQkCJWXwF1O+N/pLStm3BFmiv/P049jwwjPQnLpLJ07C4v+4GjOXLAdSabT+lobV8gAAIABJREFU5CeIPPIXdjlyMVL9o/85NquPmrTHFQLUdz0LkLJWJrhCwMxLbMt0mmseg+qbWFl6grPQrpsaHtvzOH656X50pjvZYfJ9Sq5ByLrs//sQawYOrXXiGtvK3OoH8JADDkh+Si9gTu99cWQUr8fDcyBgj2imM4qHG84I4xdnx6D6Xfj+8u/jwsoVOLDpHex9ex3qd2xl1MKSywXJ7YHkJitRt52nfS43ZLfb2Uf7nTwrk7U/q5zocuU8P8pnzBgPsi+0ceQkkE/fIJdSe9/9HtbnheJilH/1qwh98AP9K9o6TSRq60NbNuLA5g2M5YeYTI4ME+eeglMvvBTTFy2D2A/7lXroEBq+8AUoe+oYO1bl7bcjfMV/9C+E+reAdb8Etj3RO3YRCwZZpNN81B0ckvDofdLVkkLHYRssp5RiPNJXkXKgynVJQVyMIil2Iy0lkJJiSIlxhAIyJrt5zDE6cEpkK0LKAVaFZrntKJdDKz8TWulCaEVzoQlF0BQdBERrysCRQO2hgPe8wMHjl+AJyiyl6b4NltvAOIHiZFU/nMDxHNw+0baQ90nsOrTtk3j4TMCtGpASKrioCkQHl6/hEqBKPNIch7hhoVsxEEnoLFX0KEytDoa6B5bR2KfJHB8CL02BW56OYs9ElPldKBJ5+C2LWbJn07hnTkzyaRtMd9Vju3cfNnp3ISYmIGkWLths4X1rTZQ5rtATHh7vnF+FAxfNRai0ugdkzwbci9xFwzKYyrSLmOZ2r12Ft/75GFr324otZKg1Y9FSnHX5FaiaMavfx0W/q33vez+sdBqV3/seiq6+KufHms+4kXOlhYIFCRQkcFJKoACgn5SPtXBTBQn0SiDfScEXH1mPl9YfxH3pNzHhlScZdSFfWorENVfhnW0berQCS2sn47xrPoHJC4/2GUvAxl92/gU/W/8zRlvrET3MEuLDM66GFdNhRBVYqgmLFoQMi6WWbvXmDcrb+9gx2tbtNNrSgta9e6ElU+A5AbLsQXHlBPiCRQBVF4tDb26FGe+G3rYdetNmmF2kOTm8CfKx+hR9BLlmzYJ7/jx45s+H+5RT4Jo2zQbsC2FsSaC9DthOluZPAC1be9tGoDmBJGSBSlZCnjDSO3di/wc+CIgipr/yyrApDM2kBqUhhs6th5GoawPfZcBtumFaBlJCCkaAg1wdQHh2NcLzJkD0y0OWXXdawyX3rMSXn74bp3bsQ+nnP4+yG76UU335jhs5VVooNO4lMBb7RaIrgo0vPoNNLz7bQ8lLC7jzV1yEheddCPOFF9Hx0G9hxm1Q1HPGGSi/6SvwntGPv/ND64C/f6KXPjH7ifESukqnY01RBVZJHN5QW9Guxfo8U1IUW169nFman1V5FrzSAFaK474njPMbSHXZQDmzMn8VYHOErOAttd8F0y4Apq4AgrkpHh0plcTatWj9yd1Ib9nCDglFRSj97PUIf+QjedO1EyX14e1bcWAzWZlvOAoUd/l8qJ2/EBPnLUTF1PmQXGF0t6dweHcXDm1vROfhvTD1Rlh6E0y9iZY0+zSX/BeW1k7qsVAnS/VQecVRoMZnnrkVa9qfgE9dgtWf+jUEvr+lub6SGIvjxjjvwSdN8/PpG0oygXs/cTW7dxscJ2C81AHGy7KA8hIESssYOE507LkGAtLXP/cU1j/7FNSUbTlO1oQEpM9edi6Sa9ai6Tvfgd7cDPA8Sj75CZR+6Ut9fdkOdDGyKjzwus10svMZIN7SW1L0MBBdm345okXnoqtLRFdrEtGWJEsJ6CCLtyGFrNvvyTI/qyRDntHjSm7RTlneSTPbTipnl+kp2/c8UbJ9uJ6QQMgIUbFnA+bkmuXIQMpxzKrcsSynfHgye54DBcu0oOsmDNWErlE0QNS9lDcJnKAxkP6RXDMpn9nmwDn5PmVIobunbG+eyhBdMSkYjkYwuroYrXT08cft31V1Faq+933wS07HLc9+FQ0bN2FiqwcTOr3AMIGmY93P5x98BJ7AsQHBfMaMY12zcPzkkkC+fSP2yitIrFnLvo2F4NF9T9c0NO7agYNbNuDg5g1oIUAvywSbfD7XzJnPYtOendi/4Z0e9h/qy2Q9S2D6kdazRjyBpm99E7GXXmYPoOi661Dxja8P7G4q2mDTu7/9OyDjXoIUf06/Dlj0GaB4yoAPkoDndgLIybLcSTsbE32oxLNPDpa6UTLBj6JKL1KuOA6p+7AztRWb4uvRgVYoYgImbyt0VbtKsFQuxpJ4HIuadqI4laUkRgUEFzBxkT2fprl01YIhW8/TOJxOakh127TxRCOfIhp5h0I+k8/sJ4A810BjuMsjQvaKLCXLdZnSrH1s2zmeAcuJUl7iOehtSWhNCTs226ml9G+dzvskSFU+SOVeCMVuiCUUPRCL3OCkvuM++SHfs+4N7F67Gq0HHDDZuSl/yWQEy+ZC9syAqgaR7LYp5I8MZPUeFDiEnBgWbCt44Yh3Nfmnj5pxpNsOwmzZDbNjD1J8BC8uTOCl03Uo8uDvdpmXMat4FuaWzGXU8PNK52FqaCqzch9KIOXj+m1b8PY//4H9G9/pqWLC7Lk48/IrMO30s45Sdun43e/ReuedzI3P1GeehlRZmdOl8x03cqq0UKgggYIETkoJFAD0k/KxFm6qIIFeCeQ7Kbjp2w/hvS/8DtUJ22ovfcmF2CoDrYfshQjyP778qmsx97wLmHVgJtDE1kxoMLoUBpDrXQq62tqxbd8mCHELZVoRivUQeIzOokB2H+A9ABdsRKexEnuTL+Mgr+CQKKJBkBDhBQgmQN8CRFnH8pa9XSQFUeOpRrW3ksVKVxkqPeXwCR5GF6/U7UV661YWiUr+yEC+eNyzZzMwnejA3PPnQ54yZVDt5kLfPU4S6Njba2neYoMZLNDEnj7qCDSfTaB5EUxVReqddxBftYp93BJ1Z64U6PQ7IF9X8Uga8eYk0odiMJrjsNqjcKd1eLn8LFpSRhIxK4m0bMIMeeGaUIbAlEr4irzwhshvlq3xzBbw+gkrd7fhf+98BOXJCD5526exbM6EnASc77iRU6WFQuNeAmO5X+iqih2rXsP6Z59Ee70DiHIc82m74JwL4Pn3anQ98ggsxbYA8J93Hspu+grcs47QZiea1/p1jNpVb9mOre1bsDrViNUyj60umbGTZILHNLFY0bBMCGN50WzUVp7Wa7Uemjjoovy47wzj6QYMHWjcYFOyE2De8HZfS0RSnqpdYgPmFAlcGQRQOdatp7ZtY4w4idWrWVHO60XJxz+O4k9+AoLff6zT2XFdN9C8Zz/2bXgH9ds2ovXATph69uIYB0+wBi7/NIiuKTDMMihJAyYpI/YXOKBsYoBRslfPCEJ2daHtwB7G6kMx2poF6Dnnk9/0DOU7pRVTpuGdjg349IufwbtqLsA978rNLchYHjdyehiFQsdNAvn2jdYD+xho7vYHjhtYm07EseG5f7J3CeUpkAuExR+4CjMXnIH2H9+F6BNPsP3khqH6zjvhnpsbM4VhmIi1JdG1fROiO7agq74VXckAuvRqxM2y4ybnUamYI1BegOQA85Rn2y4eEuUJeM/aZx9zysh873GnnCDxYN+WRiaaPXlDU2C27YfZugtm616Y7fthqmmYEGBYIktNSv3VMAO1MAM1MH3VMARfHwDcBsJ7AXG2TUA5A8wNlg44ph5HoRJYQ+BMr0WjnWf7nP1HHid55RO6X3gRzXfcAaO93fb7fM01sD5wGfZv28wszdsO2dajmaCFZZy1/FLMOH0JszDXlDQ0RYGaTtn5tMIYHGifvX1Eno4raahpOs+OujMfo2vc+MfHIMrHVhrOd8zIRyaFsuNbAvn2DQLpspV+smnZycq8fvuWPn2UpFNWOxmTFpzOGBgJzCMWxEwgZqAtr76Ira++gHjEZgWhUHvKQiy48FJMO3MJBMewgmin23/5S+ZyioJ3yRJMuOfuwf2u0/fJ5kdtxixSGGKBgz7jfUjM/TTi3nnMiryzKYH2hgQ6GmJIkOVzP4HG49IJPgaWl9b4WcqXanin8y3mnnBN0xq0Jm13Q5kQFL1YLBVjSSKBpc17UKMk+1o3E6hfuxiYtAyoXQZUnwZI7hPSqWgsT5EP8pjts52Adp7nbGDcK0H2CHB5JAaKkzLZsZS/yIhH70xBb0n2gORqcwJGh+025aggcAwklyp9NmBOsdIHITDwGEf9r/3QAexe9wZjb8tmjyIl15o58zBj8TJMX7QUgeLSoy5J/tUJSE9EFSSjKpJRhT1/2k50qUh229vpmIoAubwkOnmRQ6nIM5A9O2jUFt1Cq2ahQzCR9liwvCpUVwpJqRsxMYII34Y2rgmtViMScjdTrrC43m8QMqAiingC1BmwXjoPk4OT87ZUJ5m8/fQT7BufaOEpFFXX4MzLPoC551zQ894gf+0HPvpRpDdtZkoplbd8O6e+l++4kVOlhUIFCRQkcFJKoACgn5SPtXBTBQn0SiCfSYGZTOLFD34dliVB8QGRahOd7TZ9u8cVwuzT3o3J0xdB0nlwKQ1cUgeSGkA+kcg6gizFjxE0Tofms+DzB0BYukUYvMDBou9+wd6mvMVbLG9SyjupYLHtTDQsHV37DqBzex10JcWseMXSAIJnzoLkC0Lep6OyJQiX0TtZVTgVG327sM6/BW/6t6BDiqJc1zFN0zBN1TBVMzA9PBVTa89HaMYlQM1Zx/RTSBNeraGBAekpBqhvY3nyJ3dkIK1IWmgjMN1zynyWShMn2hN30wCSnUCyHUi0A7piW74FJwDuEFvgKIQ8JEC0vGRlTj7Nmzf3nshA8/N7LM0tTxHU/QeQWLUK8dWrkHzzLVipXopQ8vk06eE/wDVnDtPupY9TBpCz1M6nOtLgI2m4UhqCnIWwYMGXRfec3eq41oWI2oIuI4mUJAKlpeA0E3wsDq9mIcC7EZJCCEhF/d6sYero1qPo0hLoNgx0WyI0TwiukjL4Qi4GqrPIAHYX/rSpAc/VteDr75+HKxfX5iTAfMaNnCosFDopJDDa/YIWQMjiQEnoTkq+58hPmsZo+DL0fG6/zBaViTqP/OO1HdiOjS/8E/vW9/oPJDrrBcvPR8mbGxAj8MMw2JgafO97mfWJOLEGkXQEbak27OjYwajZ1zatRbfqcNg5T3CmXIzl8GB5PIrTWvZD1gegE5b9QNksoHyO7UuV0pLpDi0sMz1zaszks/YNeOwY5zHLGCvLQqa/vPOezpSlVmQsanosazLnUWratPZkQUnvKMqblKfUcPZT/ojYUz5TlurIKkPtJAt9Fj02hTGlkpPKtD+zz5s/oN11CKhzAPP9/+5Ln0z3XDqzFzCftBxw5QZsD/ZDJj+BbT/7Gbqffc4uJkkouvpqZnUulpYyq0VayIp3KUjQu4PSLoUteJFfxWS0G93te5CK1kFL7wesI6jkOT8EaTJ4iuJEcKQd2E/gRaKUlNh7oGpamNGyV88Ms31HBosAoqSOeHM72vbsQ2R/A7obW5DuiEHiZLh4D2TBA5l3wyV44JEDkDgXrAkiJn1xeU7j2miPGzk1qlBoTEggn77B5tpKX7CTFozJEph+Wwz8JOCT5Q17/4DHe88jOlsCH0VJgEBArpMHFDTXrUL91legpe35vDdUitlnX4ZqIYDu3/0WiLSD50yUXvcRlP/ntZC8Lggizxapbetx24rctiZPobstNShlrJvrRlhsRFhoREhsQrjCh/Dc+YhOnoZfH3gKrzStZe1wCS5cNesqfHT2R+Gnd032sJ71ZElmfUJPOdv3q02bq0M9kkK3z7beh173yLL6AJZ2Y6KDjXAjaM5h9xWepYLA26K3LPaqJHmTyAn478mzHZl9R5axt0eCJI2UEY4C2X02UERKtgQesU/NZBKJV1+Buns3TOhIFUtITwqz730lmaUMznEorp4OraIE/zZ2Iua2MDE4EZ9Z8GkUecNs/sVc8Ygck4O97exz8vRb6LP/CGVfAhGJXUVLp0EKW8cCsUjU+YwZI/z4C9WNcQnk2zc+9/LnsL1+EyZFgqhsk1HUDMjJLHcZBE/7XPBOr0HR7KmonDMHQWKxiLigd/BItZmINqcQaU4ypgnbLzcptvNId9eh7eAadNRv72FB9ATDmH/ehVhw8aUIldvWsbGXX0bjN25mv0upupr5l6bvEpozUtBVw15rYPPGNGIRBYnONOKHDyPe0o54Ukba6t/3deZxBYsllFa7UVLlRkm1F6UTvAiWuKBCx4b2bXij5U2sbX4LOyK7+jxhmRNxmhS2AfO2A5itKLRU1xt8ZUDtUoDm0JOWAhXzh2xhPla6lpnWobeloLUm7bSN0iR0AsoHWOfkA3IPQC47YLlY6gEnHlupicb/5r27maX5njffALmqyQRyYTZx3qmYfspCTJo0DS5Vgx6JwIh0wYh0woh2M6VwS1NhUqpq9raqstTU1KP20TFd1aHCBUX0Q5FDUOUgTF85vFWzECytRQAipCOmDgnDQqtuok230KZZ6Ne+n7NguXSk5DiifAfiQtSm95fiThoDPDpqyqswo2oq5lXOYeB6TaAmp7E/3tmB9c//E5tfeg7ESGTPycLMddu8Cy8G55ER27UdyZdfQdlnrkfQ1+unfbD+le+4MVb6aqEdBQkUJDD6EigA6KMv88IVCxIYVQnkOyl48WvPAckmuLkUvGIAXiEIrxjKiYKHJoFpC0iRFa7ppABUDkhzQKeRRNRKwuQNmJwBogtiKU24YMLkzJ68xWW2TaccHaO8XcYua2/DVBGMNCHc2QSeVjAAJLx+JPw+KB4Pyl0TMB1VmGtUI2z2XXDWAgLMQBKGVQdE3wKXaGSLYRxM8DDAiyK4yjngqxeAm7AQfOlU8KKtqdpDy8fc82Qo/Jy8ZUJrqIe6fRPSO7ZB3VMH5cBhQM1oAlvgHACDly14igy4g0m4ixR4ihRIHqIFpHZYdpS94EITgGA1uHANEKqxgXVKM/kTpOU7qh36WBfr3A9sd0Dzpk29pTkBmHqeY2l+GQxDQmLNGsRfX42uteuR7IhDlfzQ5ABL9XA5UDMdRmk1NHcYiZjBPl5pYZZYrMI9VFgciA7LOwDdYkyLIKI0o0vvgBkW4ZlSiZoFczHp1Llwe/sHP+h3lOxOo2XnAUR21ENtjILv1uDRXAgIYUh8/9rLST2GqBZFVE8hapjopnsEKaqEWP9cce1szD27+lgSZMfzHTdyqrRQaNxLIN9+wXyCWzbeShS0vUC4DYL3v6/3GC3wDzWQlYFEGvHxd5Do3AiLGkFjteyBXF2LipY4Jm6vh6TFIehxrDxFxf8tB7r8fRWVgnIQy6qWYWnFMpxVuhghjnz2Ob760hq09iZoHYehdTZBjXRA645CSySgmTI0y9Pr+890Q4OLWWtwMJx3jAnOed+wd05Pnsb93mM85dl2/+fRO8I+Q4RlUWkRpiXYVnjMEo9S2mcfozIGpT3HMmWyyoL8zIuQOAU+oQN+voOlPr4TfkrZPjvv4mLHX79LdPcC7gxcdyLLZwHvNAc4uBroqOvbddxhW3GKWZmvAMK5KRPl0v/UlhY03fcbtD6/EooYgOIKA6csAuadgZQuscVPAsqz6RUtS4dldsMyo4xS3dQOwjKaj3A3Q1abE+EOTkegdCYCJdW91odkjUhWih4BblmALPGQRR4SATyEx2gmo5A0UxoDyMl9CEtTOmMLYmlSY+50hhK6+HbM/+8P5nRqvuNGTpUWCp0UEsinb7S0dOLv39046vdtWSoMZTP0NDFX2NTu4AIQ3WdBcM0Hx+VHUUrga6jCi3C5F+EKD8IVXgTL3LBCCrqim9BS9zxaG9aiNX4YLYKAFlHEO24XdPrusCxcHk/gS5EoKi3OHgfZ2OiMjyzvcfbR2OgGiCKeHaf9Tr6/lHx+95xLZV1Z5d2AIPeryEtgsaba70QCezSFrLgNto/AdTu1wXqd/N0qKvSUBk2xI5Wxz6OydK4FnRbodfpO0sCbCosCp9nfZZxupwTSun3gPX4I3hB4b5B9s/UAtg54S24mGNDrgN8ZADwDgjPFiSxQ/KhtplQhQBDteo5HyIDo5I9XTevsXUGRGK1onsRiJn9kmqB3ybEV2DPttswEDG0/TG0ve++gDxQiMQUtQZrGfOoOpKQ1VBnQTMXiTTvSN3xP3sJ/fe8CBAPHVmTLZ8wYajsL541PCeTbN7775Q8g0KTBdmphB5030VKsoLXIRNIXhMRVoihdhaJkJYpSFfBpg4PVR0rONKIw1K0wlK2A1WtYIXunIlR5FoonzIebU6GufBnoaocqh5F2F0ErngBFDkPRcjOeEDkFfr6dzc1JAatUOoASkeJByLxtJU2jRJ0k4Q2PG2s8bvZeSR/BtjRLUbEslcaSVBqnKwrc2UpY4Um2dXnGwrxk2rg07qDx1oiqNvW6A5TrrUlopOAW699in7326T1R5nGsyv2QqmwLcyEHd3ukLETGGaQooScSOLx1M+o2vYP9dTuRcMBguga9YSo4EVVJFWXtXRAiXX3cBhyPX6ZrxgyUXH89gpdewlxPsnd6YxzpPRGkdkag1cf6uPCgfpRyi+gSebTpJloTOpKx/N3MaLzCgHVVTkHycQiEvJBdInT6syhqTl6DRnlLg0rzMT0Nd0sjAs0tkFT7ugbPob3Ei6YKH1JuHledczmuWvL+nMSV77iRU6WFQgUJFCRwUkqgAKCflI+1cFMFCfRKIJ9JAVHg7vzW0whL/dMI0hxe4TgWaSqeJqDPoAgkiDaILD8Gog8dhYdCiwJ6ei0MhSi6j1gU5vzgxXKEXVNQ7ZmEKncRigShj8YjAf/NmokWzWIalkNbVh6FG2VgigOwOAA7GPACZmVgg/uZSJYHAjhBAJz7zfa7R9YBRK/Yh0oxQ7NItIuOr8PM8T40jA4tY6YMLUDlYj0w4hKKHLAtzbc/AePwFqTMIItpqwipkkVIlS5GyjsT8aYY4g1tSHUmkFYBjQBz0UtCG7BJHh4I8ASS2zEkcvAOQJce0zoRUVrQqTYjLSfhm1qKyrmzMGH2POZbNtvlwVBloKsaInX16N7ViHR9FFaHBjktw8sF+q2SrNWjWgcD1j1n1OLMT1yU06XzGTdyqrBQ6KSQQL794rd/fgLxVT4IjGqEuQklwhEQ3EApi+AgsrR3nwjyz9a7TUQNBAxKgg0Qijydw0HngBhIWURHl2ogmjKRTPN9FsPYopGZYgtYenpDllUvWRvOhuA6HbxYBs40IOoJKFIC6aAAHxeAbLphaQI0AiPH7gvhhPctAjZ8Ujf8cgw+OQ6/nIDPlYDfnYLPnYLfnYbXpYIX6T0k2a4zKGhJQEsBKqWJrDxtO3GAu7MsUkOQGF2vYUlMMYBSphhAwBIpTVXMhzVxCfPBaJXO7jPWZywze4z2mYmgfTF7Hy31Z/Bs26qQMZA4VuMEiMfaE4jVdyCZ5mASuJQVLGa5H4dpRhlIbsdugKIVhWnE4RWDCEql8Ah+iLwEkZPg8xcjVFKFUHE5/P4wOAOwVAOmajCwm/KZbYzUfIsDeI8I3iuB94p9884+ziMipcTQ3nIILYf3IDypBgve856c+l6+40ZOlRYKnRQSyKdv7G8+iM0/3AfFApKWjgSnIcVp0DkNBq9B53WWGpyd9mzzOlPcZSApzXkZzbgEF4sy3LILsuWCaMmQTBmCKUEwRPCGAI5FnlZnYSo6Yi3r0d28GqZus0NwvB+S5wzw4jyA76WqpWllsNQGx/2lMviwDi0QR9zXiQ6+FW2pVrQkW1gkmtz2ZDtbMB4sLE2ruKmjA7OdBePR7wAE2DvgfAa07wHi3fb4SsxZOlnqqU5eAQza50RHkW1IbS+eZls7krsNSscpeDOkex/kJAI7CHTvAduzAfa4BiWtI9G0D20bXkEs2QCFj9uTMSdI7hD8JXMQKJkDd2gKeE6AmbGmJ0t6Zk0PpLU09kX2Q9VV8JbgRB68JfZsC2ZmvwDByk+x5Jr/PRNhf8EH+kj3j/+f6svnfUJy+cdd38OBt9+Cp7QCrtJawD0BuloFPSID6T621n3EmHB1odPdhIi3BRFPMyIecoFjwa374dHsGDSLUc6R4UYJ248kh3RkD/T0Zpi642aKvUR8TBFLlE8BJ/Tf/wUY8AVFBKtC8Be74S9ywxd2wV9EkbZdcKEb3Po/ABSJxZBRYpho54A1bglr3TLWuF1ocyjkMzdUputYmkqzSKB5Kf34M6F8rmNh7oDmwdyU8E90n2PsH8RWEyW3kmqPa0m9I8Wsygk4H0x5lFmUl3kgFMsQ/KR4rYLjUjCVKKx4NwPBzWQKpgOIm6kkrD7bdCyBdCqNmKYizuYrQMIlIemSWKrTupwTBMNEeSyJyq44ymJJiP0oRPGhEKP3FygWF0MoCkMIhsC7XeBkirIdXTJ4ljr7pH72sbJ0XLLLer2Drt/R3EfZF4Wyp4uB6iTD7MC5RbimBGEFZBguAZrII81x9hpxSkeSlMHIb323ilg0iXRcB/uAH2awLAOmtpspN1pGm1MbB1meg+DZc/Gf1388pyvkO27kVGmhUEECBQmclBIoAOgn5WMt3FRBAr0SyHdSsPWnTyHVEkXVwjkomjYRQtjFohiSwUkDf0xkrkiTVvJXR7SJ5DeO0t7obGuGTWFIlons49ymtmP5DA1eZjsrzdDi2ec45TPn03Wd/anuNrTXb0Gisx6JrgakYzSpOlo73+suw8TQAlS5p6CUD0PI8s9uAIiKPDphoF1PQFUSMDWFLcxnLPsIwqZVCLZY70DamdSxG3f2E0BrQ96kW2qvzdvnnFzBgsSrEHmVpRKnMosRjvlDsuWffcfZ+3uPOeVYwd5nRtLLBJvduBfpIKN+BpibQaiWLy+R0pPx8kDIIyDsFuGXeHg5wG1YkDQDWa6c+tTbrXYwGnayLifAnCuVUTlrBvOHRjFYVjGqygR6QkFkZz1ie5qCPmnzAAAgAElEQVShNsbBRUy4VDcDZDJBOZPDtCvPzkk++Y4bOVVaKDTuJZBvv3juF09jRn3QAcoBfhTcUKQ5BY1SO5qlTrTyMXTwCXRZCnTBBZ8VQqgjAbltH5Bq73keRIfNgHRp6jF/t7yhQjCUPlE00kftozKifsR+U7XfAxwPiyK9FxiVSfa2fRxuDzivD5zHay9uUOr2Am43OIouD1sgAUXZBTHgB++SbOu7LIu7jOUd20fsKbxNudpbxqFYZfspz9vHqKzAQ0sbzHo63pW2U8eaOgMkk3/BXAI9eqIUtxf93HD7RHuu0DNfyMwVeucN9hzCsKNG/m9tJT1igj+SmTiXNoxkGdtiMNkDjFtGFBwXBc8nQBZHmkJWI8QqICAgFiMolyAolSAgFfekBJqPSKAuJAngXAJ4WQBH/hxZKkAgQDwbGPdJR4HltPhFSnfHK+Q7bhyvdhTqHXsSyKdvpKMJtP9ofZ+bIEYqRdaRdCmISyl0i3F0it1o5yNoQwea0IoOoQtdYgxRIQ6NHxykzkVCgsFhbmMR5tb54EnZCpi6C6hKpnDKrgh4CNBkFS0VIg6UmqgrVnGojEN9KVltDfw7IyvIUk8pyr3lPbHSV8nyU0NTMb90Pn002QA1RVI+YikpG9G+lJ3S9qDH6TynLKUEbvfU5WxnH89FKEMtI5CVO1nJy3ZKikjM8p2s4X1A1QIHMF8C+MuHepVxe55pkGW+7Wvc9iuehs4oz51t55ieXSarLJVv3bEVsSwLRxJGxZRpzB/ztDMXg9zb5Kr8HFNjeGrvU0hoiR4/tjzHg/6Y8jY4tp/VZ3HgTR6utAgpJbAopwSIaR5yWoCo8JDSHCSFh6BxmPy1pXBl+ZMe6KHlM2aM2wdfaPiQJJBv33jkey+g87AKju9n7YADgiVuFFX5UFzps9MqH4oqvcyPNjFs0e+AfhNRJYq6rjpsbd+K7R3bsbNzJ1TzaEvmYlcxTgkuwCxtKvy7ooht3wEtlXHVwyFQNgMlE2ajpLgCodZWYM2/IBzaCVFPsfUTsbISocsvQ+h97wNZDR8ZaF6a0lPY2LYRaxrXsLjrCFp2t+DGGRVnYGnlYiyrWozpwSlshSoDuPekNBaPgGujIT3IQU5i64QpHboDjNsgeS9QnsmToumggbPAiSrA0fuyC1aqDUZ3E4zOQzA6W2FEo7DSA/g3dyqmlShVFJCURSRcMpIuEQnZBsgJKM8GyY9si2RaqLQETPQGUE0KHMUlEIqLHJCcAPIiiMUOYB4OM8vwsRL0zjTSdREHUO+ClR54XkXfJWwducjds6ZM2/BJUEUOCU3H3paDONDcgJaODrZ2LIIUikU7WhJkiPAaIlymCLcpwmXwcJk8JIODbHCQDEBQFQi6BonO5SUcLmvF4q9ekZPI8h03cqq0UKgggYIETkoJFAD0k/KxFm6qIIFeCeQ7KTB0Dbwg5vwxPR5kraaSaD24H63796JlXx1LOxrqwSzEnECL3OXuWtSG5qLaOw0uqy+9tjQxAM/MENxFhyFF/w3u0Gr7TG8J4CsFyA+Ul9ISJy2z93uKAWHgSW+Gto99EFB9JmCk01B27kKqrg5aUzP0ZgJFm6E1t0Brb3eo+gh4cYD7ntQB6jkOQsAD0S9C8FgQXCpEMQnBpTvb9NFAn0s8dEuCbrkdmmGXk3exbXt/Ju+CZtI+e5v2Z44bcI2pbkB3JhlJSOkoJDUOWY/Bx2vwuCT4iorhCRTBJfshGRJEjexfB17QNCwd5LO8S21Bp9KCiNqMqN6Bkqm1mDBrLmrmzEP1zDnwBI5tNTHaQmIUXO1JRHcdRmJfG0rOn4HApNwWIPMdN0b73grXOzESyLdfdLx6AKkX649qLHPDIQGGYMIQTeiCCVXQofEaFBZVEBCe4hQkuTSSSCHBJRG3kohZccSRYGWK9CCmG5MwWZ+AqnQpilMB8NbAjBJCyMXo9ygmrRj27FqHHVteR1Kz/X6SxW9Ft4BwUwKyrkLkTIiCBVq3kEQLosRBcGW0+V22hr/LBZ72kTY/25bBM83/rGOZbYGH0R2D0dXFFmf6S83uvj7X83nStLgmT5wIaVIt5Im1kGsnQqqltBZCoH+Winzq769sj1/vDLDeA7A7gDv5+O5SB/X7O9w20Pk9flhFh4Wlx8W8M8LbXlZ66Caz3czbL18y9VZgkpKDpQImKcypsGib5RXGXmAmW6HFW6EhxdzJZAL5CLcB8hIHLCfQvBQ+wXah0W8gNoVSD8Qw9RUb8LYB8F4QnG27+AEBcjpOFA65AiAjIet868h33Mi3/kL58SuBfPoGLYx3/m0XjLgGM64ylwT5+o42XYDmsaC6HNBdTiEmJth7JsWlkeBSSCCJGBKIWwl0I46o2Y0usxsxxJHmFRic/e3Am8C0Bj9O3RtCIGXP8w3ewPTmLtR2JODWdAhHaPpEi2TEaoqgTK6EMHUyPLNmo2jWfFSEaxh4LmbYOcbKI6X2kzX5YAB7BoCnbyoGhjsAOAPHs4Fx5xgDyQksl8Yl/e9gj4YAbzWVgppOQk0moaZT9nYq6ew/9raWTkF3QHBDH77Ch91XTZSLLsx+/xWYedGlCJTY/pUHCuzblLo5U0ynD1NbcZ1tE0MbuQRJaDDILQj9HsktCG07aSZPQFeuofq2JUzZ61ghnzHjWHUVjp9cEsi3b2z+4TrwXQosUhj1iBD9EuSwC54SN7xlXkgBUjh0lA4ZS49oz9WOoQysGRoD1Ld1bOsB1feQ9fkRLCP0DpkfqcLc+hDcjX2tekGKrBUhuDwCils6MWVrA4LdvYBu8wQP1p8WwLr5Mlo9GtJGmoHnZj90WXOK52Bp9VIWTys/DS4am8dIIHdDzKUQuRtKk9sh29WQRWOMk6d3PQPGu21rcjonl2AZaVjpCMx4B8xUJ6xEG8xYM4x4MyxmpT8wyG5ygCoIUGUJRigIze+D7vNCkSXEeQtx00BcU6GZgwP1/lAY4bIKhCurUFRdg3DNRBRVTUBx9QQI4rHHu1zu80SWYQwoDTGoh+jbVoERSUOntCsNM5HD+E+uVejbnAy2itxMO5rN8TLvlLgG6Lk972w5+C6pQdGKKTmJJt9xI6dKC4UKEihI4KSUQAFAPykfa+GmxrIE7r//ftx1111oamrCvHnz8NOf/hTnnHPOgE3+xz/+gVtvvRV79+7FtGnT8MMf/hAf/GBufiep0sKkoH/RkiZ/28EDNqjOYh066g+CFj8ohOVyVHunMzC9xNWXsooLCPDOLYNY7gVPVl9EXd4nZu/rzZMZ5rE+uo7Vdy1dh97aCq2xsTcezso3NsJSlGNVA8HnaIPSByFZLcr0USjZeQYASTYQ5KboAud2sZT3UEoWkB7wHjeLkD0wBDc0Q4BuiNB0Son2mIdu2MBBD8zQa4zu0OM6igNOoR5aXWIY0A2YumZbWyhkdaGyRSVdU6BRXlPtY/EErI5OiEkdLikIl7sILlcJvK5ieKUieMTBfepppoq4FkFc7zoqTekxyD4vqmbMRs3seQw0r5g+A1IOVhLHfAhjuEBh3BjDD+eIpo3mOyXffmHEVFCk8ZEBgTROEuA3zLGQFojSehqyIPcBHCzDBGnG2xR9KWhtSejtNl3fYB/yJm+iW2lHVGkHuWJIkDWCzEHwyhD9LkhBD1xFfnhCIXjDYfjCYXiDYXhDYbY9kuMBjfFGLAYjQiB7V/9ge1cXzGgUOqVdUeiRCPOtN1ggawapdiLk2kk2yJ7J106EUFIy7HfTYNemBZZkTO1jwU4+XcmFCMUe37SZvLOffM6y40ds0z5iaCe/9oamsJixzusLWCSh9IAY2YCGnVcY0JFieZPM2nMINu26bU1OMeytYBbm8iCKZJxbgFTuhUgLsuWkwOFl8weyyODIV8FJHvIdN05ycRRuL0sCw+kblmEDefSOIRCPgXf0znEA9r6p1seH57AeAg9YMg9iqDYlC4ZgQUnHkerqhKqkYJgaVDPNomEp4EwFSMWAWCfEdBxiOgYpFYNbVRnILnI85MmTmUWha+YMlrpnzoRUU2O7XyqEoyRAoC6j0Y3H7ZhIwHBSM55g22bCPmYkEtBjcfatoBNbmSTBkgQYoghTEGEIPExBgMXzMChyHOjTheHHsJinDJMW9S0ThmnCICYU0wC5SDKIUU0hGlmTgTqcQS5mJEicDIG55aA5iu2eQ+TlI9K+xwXnOKl8kRMxW7GaWuCwszn7WKtsSjZHEfxI69G+28T84ymvhBgu7gXBCQzPgOLZ4Lhhg+QsjlTIuAgh9hMnCv3kXVND4MRj+5gfzpgxUrdUqGdsSiDfvtF87wboDRkL8BzviSdvHbarG47YfWgdhfJsXmr7niL2JpaSOz1nnw4DbUo7mlJNaEgeZrEp3QTy8mzAgKwARVER3pgFf7cFSTFtH9A0z7U0Ng5ogg6fksaU1jSKE2kEUwpTDN08mcPK+RzemslBkTnGWrK0aimWVS/D4qrFKPGU5HhzAxdjrhxonNPtsS6TErhpaUa/xxg4rhjMYrwHDM+A5aR8Q5bLQ3RFZCoxWCn69onApJSA8qxtQ+mCZWhEhGGzffEczHAIeigI3e+D6nFDd7ugiAJUgYdqmVAMA2lNQTqdhqoMbn3eIymOYwpJRZXVDCQPV1b35EMVlSP6fTjshzjKFZDrKQaqdynQI+mj893KUR43B2wifQf6JfB+CT3vj568fNR+plycY8h33Mix2kKxggQKEjgJJVAA0E/Ch1q4pbErgUcffRTXXXcdCPBYvnw5HnjgATz44IPYvn07amtrj2r4mjVrGLh+xx13MND88ccfx2233YZVq1Zh8eLFOd1oYVKQk5hYIV3TGIhOYHrGUr3t0AHmE7HaM40B6hWeyWwxZCiBQcXM2S/HLMBt0L3X6ox3iQ7I5ABNtJDg+DJn7PKOb3N7H5kUkEmd/YHG8rYBOqxk0gZeIhEYXZ3QI50wOjugd3TA6GhjC0psxtqjpUz8r3RHDnUwy9p080fuZ1bvHA/TSWnBibHRkyUJ+VmSaWHKzoNSQWSWh6SWwAwaiALfobMnC3iqj1Kweuh6gk1fTCkv2FSARA7IkcZ3hiYwK+UEeIUAZKHX92R/z0YxkkiaMaT5JFRRge42YHotcCEBUsgLtz8At9/Posvnh8cfYKnb54co9/VtO5RnP97OKYwb4+OJjfY7ZTz3CwJXMmC6Da7bwLrekc55sZgYKTRTgWrY4AjLE0jC6bBk2BTaXgmiT2aguxzywU3Ae0kInrJieEMhCILAaNQ5Gt9Y6tCdDqPL0WI6jffaoUNQ6+uhHjwErf4QS2nb6OgYtHbe6+2xVM+2WiegnfzusVcF/UcLZYYdmY9wsgrIWKcZRLFOvrp1mJoOspyzlaDsbZanRTbTThk1rabCUFVomgJdJ4UoyqswyKpD06DppDClQtPtbWLIUVUqS8doQdEGFzL+ym11LIu9LwROgtCTir15nvIDRxGCTRsIqsOmEMzU45LDEI7wdZ4tWGZFUe6BlAHIyzwMOKcFn+Eqzw2je5zwU8fzuHHChTfKDRhNhSy6tdHqGxnaVwLVGeCeDbYnNeYPlRZ7ifaV8nZK45mT14zcF3pzfGY97xIjBYOiloSlJWCpCfBKHLyehivghq+iFO7qUvBsTi04gAyBNYINOBJrGPu2oGMCU+yFaOdBoI4o2t8arBwpsNF5ZDFv03KwsYki73xEZO/LHKNvjaw8K++wX2XqsAEWFZaqOen/Y+88wKsqtjb8pYcSQKp0RDpI70iHK4r+gA0sNJGOFxUVURBQAQEFlCtdAUEBsaGigiK9g6D03psUCTU9/7MmOTEkJzl7n5yyyzf38ZLkzJ691rvWmdl71swa+Tn5v1hhHIOE6KT/EmPikj6LjkNCdGzSGBET++9/yeNGbFQs4uUsWxkzZOezmCFR3hdEj1AEJO9yDwgKRWCg/B6i/g0MDIEEpCWIrf6T8cBou/s1+omhqql3z0C1E9dZEDwpQH7nZ/JM5MkjQnzVZxiKu0mFMfp4EnPmBuKvRf+76znVjud0AV/JpuBmsNcT5pNAugTUZYFWUmA9RgXWA2KjEBgTheCY2wiJj0F40UIIzV8wqX9WGbmSjwyUfjPlZ8ffko5aUIlS1KN00soh9XvSCiIkylbshKTjGbxVJCNkXHwUYuOj1L8xCbfVz7GyEE39/TZux1/Hrdjr6l/5TxY0qeC4zCMFJmVlTLVHwyOiyrxTeEQEsufKrTINZsuVSy2e/jdQXhi5ZXGSDeeJPAFYFkHK908F2JN3rYvfqkC5Y7FVzlD1szqaykvHwHFM8YQ12QYJ2IMAA+j2sDO1NAgBCXrXrFkTU6dOTZGoYsWKaN++PcaMGZNOyo4dO6rJpZ9//jnlszZt2uCuu+7CggULNGnFhwJNmDKsJEGAy6dPpuxUv3j0KALOx6NgSHGEBWVPmohXuwtkkl0maeT3VD8HBKecE5c1SXi1KwJxQbFIjJBDy4IRdFcoQvJnR9jduZCtaB6E54lQgSoWbQTYb2jj5O9avh5TrOgXznatx1y6ifhbMSqlYGJ0AgLkmLwsTh5JACdWUoOrXWVJ0zxJe7wcvyetMlILkpL/nvRpqt+TP0v5m/rd8du/E1xJkwwOiQMQ4Gg0MWn6TG6SkuE8eUJN/SX5DNM7flartVhSCAQGqCMAQuQogILZ/w2W58+GwDDtOx7sRNSK/YYV7efrBVnC0Cy+oXb8yk7d1EH15GC7WhiUJvAeL2e0XotCTORNxN2IVjvlE6MTERgLBMnWdT8Vyd4iwQrHGORYfJQyDiWnnE8Zo9L8nrq+ukYNP46whQTZZZI76T85Cz7l95SFsN4LwvgJKRLio5EYH4NESWUfHw3ExST9K3+T9PfysxwFIj8nxCb/TX6W40IkM0KsyqYix4bICoHAiBwIvisfgu7Kq87EDcqTF8F57kJgnjwIyiW/50ZgrtzquLWkVOtJ6dZTflYb0JP/rnaqyyLn5F2xsj5Z3oWSd8eqBdmyQ9axWNvxdyefqzpeCmDosZ1Z+gw9OlmxrhXHE9lprQLrsns69a7qW3FJC0plgakju0NyNoekRafJxx/Iv2l+//czWaSamLTQNNV4oveYEl/4kiwmjk+ULByxSJB/1e/O/4tLXmgckxCtguKO7CyOf1WgXN6NfFBCwsKRLTkYnj1XruSguCM4nlsFyCVQ7giYyyYKzh35wDB+vgXHFD8bgLcnARMRYADdRMaiqOYmEBMTg+zZs2Px4sV3pGAfOHAgdu7cidWrV6dTUHalv/TSS+o/R5k4caJK+37ixAmnQKKjoyH/OYo8FBQvXhyRkZHIlct45zSb0aoJCfH459xZRF2/npQ2Vv0XnXJmXWzUv3+Tn+OiYxAfFZu0y0J2W8iLkezkU/8m7eJT+93ULgnHzrik3XNq8ilpD7aauJCfHH9L+T35M6d15IrkXdz/Xp/cTqqA0L8BnaRUgUlTYo4gT9IEzB11VIXkwE/q+bDkn+Ufx/mwKZvZ1USN7LgMUCl5ZSdMkOySCQlCUEhSGnn5NzgsFEHhYQgKD0VItnAES8p4SS2fKiWa2nGfPMETFBGKoLzhavc+i2cI8GXCMxy92YovxhSOJ0kWVLsXJXByO2nyLFHO6rsdj/jbsYi9dgvRVyVF7O2UQImc4xcQCwTEBSAoIUj2NHvTFfza9r8BmaSgjPpdBVZS/5uccjZVWloZPxwh/6QxKvl/qYL4SZP1jrHv3wC/WhyQsvsxeSeNY2eNWjqQAMg5xXJGeWBiSlITdVa4jD3q6JXk7C9yXImk45Rz7LOFIlD+kyNNJEOMqhuYtIszJDDpnD6bpF33pFNxPPEkTe+15esFWaKJHX1DpZ6PSgrARF+5gVsXr+D25Uj1s4wn8XK+uyzeikpAYHwgQhCm0n+rHtLxHpD65+S/ST9qxuIYQxLU+CD/L//Gq/wissMyAfJzPBIDEpAYlIhESVTlOA4mNEg9+6sMXmFBCJL3h2yhCM4WguDs4QjOEY4Q+S9nNoTmyIZgOZJK7Z53kEr10pL8p39jxKnrOT6Uf++8xpO7q81oP1/LbMc+w9eMPXE/jidZp6jmY+KS06BLNpTkIyOSMqbE4ebfl/HP6bO4fv4Cbvx9GTHXbqrNHFJUTyr9qHoWl3+Tflb/SX+qfpa+1VEv6eeUv6vPY1VfLNfLfwHSByMRQTKPExikMmoFBiX9GxQcrBb1BMt8TnDSfI6c8R0UGoqg0DDVNwfKz2HhCAqT38MQKD+r65Lakeuk3UCZHwpK9ffA5OwqQYHqcwlqqwxeco38nJzZK+WzlN//rZN0DeeJsu6V1muBY4r1bEqNSMBbBBhA9xZZtksCaQicPXsWRYsWxfr169GwYcOUT0ePHo25c+fiwIED6ZiFhoZizpw5ePrpp1M+++KLL9C9e/c7guSpLxwxYgRGjhyZri0G0I3rkvKCpM7zjnac45p85nds0m5Fx+pjR6pa0cSx68MR7E4JcCcHv1N2iaQOhidvVEy6JmnniOPFQ1565IVFvRClvMzIy4u8mCR9Ji8z8rKS9MKU9GLjifTDxrWMfSXjy4Txbe+LMYXjiWf8QBZJSbAk7mY0ZAGW2pEiZ7gmJO1MkZ8ltbn6N3kHixx9IenRVcpzSY2rUqXLNUnB6Tt+VueVptq9njqmLB+pMwDl38SUuf+k31N9lvJ78kAh18RLvtwEBIXI8SIyGRasjukIlN/DQtREmZrkkrEjeUxwjB8yccbxwTP+Y/ZWOJ4Y34K+WJAlFLgoS78vyCLdqBs3kvp9lWY3eaFr8iJWteNR+v/ksSFpTHGMH46fE5OO3lB15Ofkoy/UpUk/J52zlLxY1lEv+R0k6cxtx3+OdL/Ji2sdf5eNzMmp4x2LZGXRrPqbjBEhyUES+VcWMMnf1ELapHcLFThR7xxJP3Pnn35fscMVHE+Mb2VfjSdpSdjdN2Ju31JHEMqmjpSgdHJAOikwLQHqpKDyHQHq5OM/1BFTyZ/x+d343zNK6BkCdu83PEORrZCAPQgwgG4PO1NLAxBwBDs2bNiABg0apEg0atQozJs3D/v3708npQTQJbj+1FNPpXz2+eefo0ePHoiKinKqFSenDGBsikACJifAlwnjG9AXYwrHE+P7ASUkAaMT4HhidAsBvliQJRS4KMv4vkAJScDIBDieGNk6SbL5ajzhO4rxfYESkoDRCXBMMbqFKB8JGIcAA+jGsQUlsTgBrsa1uIGpHglYiABfJoxvTH+MKfQL4/sFJSQBoxFgv2E0i6SXxxcLsuSuDHgY3xcoIQkYmQDHEyNb584Aurc3jXBBlvF9gRKSgNEJcEwxuoUoHwkYhwAD6MaxBSWxAQE5D6pWrVqYMmVKiraVKlVCu3btMGbMmHQEOnbsiOvXr+Onn35K+ezBBx9Enjx5sGDBAk3E+FCgCRMrkQAJpCLAfsMc7uDrMYV+YQ6/oJQkYCQC7DeMZA3nsvhjQZZIQt8wvm9QQhIwEgH2GUayhn/HEy7IMr4vUEISMDoBjilGtxDlIwHjEGAA3Ti2oCQ2ILBo0SJ07twZ06ZNU2ncZ8yYgZkzZ2LPnj0oWbIkunTpos5JdwTTZeVukyZNIGneJci+ZMkSDB06FOvWrYMETrQUPhRoocQ6JEACqQmw3zCHP/h6TKFfmMMvKCUJGIkA+w0jWSNjWXy9IIsBdHP4BaUkASMR4HhiJGtwPDGHNSglCZBARgQ4ptA3SIAEtBJgAF0rKdYjAQ8RkN3n48aNw7lz51ClShVMnDhRBcmlNGvWDKVKlcKcOXNS7vbVV1+poPnRo0dx7733qmD6o48+qlkaPhRoRsWKJEACyQTYb5jHFXw5ptAvzOMXlJQEjEKA/YZRLJG5HL5ekCXS0DfM4RuUkgSMQoB9hlEswfHEHJaglCRAApkR4JhC/yABEtBKgAF0raRYjwRMSoAPBSY1HMUmAT8SYL/hR/gGvjX9wsDGoWgkYFAC7DcMahgnYvlyQRYD6ObxC0pKAkYhwPHEKJZwLQfHE9eMWIMESMC/BDim+Jc/704CZiLAALqZrEVZScANAnwocAMaLyEBmxNgv2FzB8hAffoF/YIESEAvAfYbeonZpz59wz62pqYk4AkC7DM8QdGabdA3rGlXakUC3iTAfsObdNk2CViLAAPo1rIntSGBdAT4UECnIAES0EuA/YZeYvaoT7+wh52pJQl4kgD7DU/StFZb9A1r2ZPakIC3CbDP8DZh87ZP3zCv7Sg5CfiLAPsNf5HnfUnAfAQYQDefzSgxCegiwIcCXbhYmQRIgOeS0gcyIMDxhK5BAiSglwD7Db3E7FOfvmEfW1NTEvAEAfYZnqBozTboG9a0K7UiAW8SYL/hTbpsmwSsRYABdGvZk9qQQDoCfCigU5AACeglwH5DLzF71Kdf2MPO1JIEPEmA/YYnaVqrLfqGtexJbUjA2wTYZ3ibsHnbp2+Y13aUnAT8RYD9hr/I874kYD4CDKCbz2aUmAR0EeBDgS5crEwCJMAd6PSBDAhwPKFrkAAJ6CXAfkMvMfvUp2/Yx9bUlAQ8QYB9hicoWrMN+oY17UqtSMCbBNhveJMu2yYBaxFgAN1a9qQ2JJCOAB8K6BQkQAJ6CbDf0EvMHvXpF/awM7UkAU8SYL/hSZrWaou+YS17UhsS8DYB9hneJmze9ukb5rUdJScBfxFgv+Ev8rwvCZiPAAPo5rMZJSYBXQT4UKALFyuTAAlwBzp9IAMCHE/oGiRAAnoJsN/QS8w+9ekb9rE1NSUBTxBgn+EJitZsg75hTbtSKxLwJgH2G96ky7ZJwFoEGEC3lj2pDQmkIxAZGYk8efLg1KlTyJUrFwmRAAmQgEsC8jJRvHhxXL16Fblz53ZZnxXsQYDjiT3sTC1JwJMEOJ54kqa12uKYYi17UhsS8DYBjifeJmze9jmemNd2lBCpalwAACAASURBVJwE/EWAY4q/yPO+JGA+Agygm89mlJgEdBE4ffq0CoSxkAAJkIBeArLwplixYnovY32LEuB4YlHDUi0S8AEBjic+gGyyW3BMMZnBKC4JGIQAxxODGMJAYnA8MZAxKAoJmIwAxxSTGYzikoAfCDCA7gfovCUJ+JJAQkICzp49i4iICAQEBLi8tWMVnt12rNtRb+psj4wM7tg5MTER169fR5EiRRAYGOiy32AFexDQO54YhYo73wGjyK5FDivrZ2XdxLZ20W/v3r0oX748xxMtX2gb1THrmJKZiaz+nTare9IuxrScXrvw/cSYdjSCVFYcT/zBVe930h8ymvme5Os967nDlmOK9+zBlknAagQYQLeaRakPCWSRgF3PgbGj3tTZPgF0ScMuqe14jEMWO0hebkoCVu/rrKyflXVzBNCt3D9b3X6m7BAptFcJ0Oe9itftxmkXt9F59ULaxat42TgJ6CbA76RuZLouIF9duHRVJltduFiZBEhAJwEG0HUCY3USsDoBuz542FFv6swAutX7M+pHAgxSmtsHrD5OUT9z+yelJ4G0BKz+nTarxWkXY1qOdjGmXSiVfQnwO+ld25Ov9/iSrffYsmUSIAGAAXR6AQmQwB0E7PrgYUe9qTMD6Oz+SMAOBKze11lZPyvrxsUdduh9qKPdCFi9zzKrPWkXY1qOdjGmXSiVfQnwO+ld25Ov9/iSrffYsmUSIAEG0OkDJEACaQhER0djzJgxGDJkCMLCwmzDx456U2d7+Lcd7WybjouKaiJg9e+AlfWzsm7ivNRP01eYlUjANASs/p02jSH4fmsKU/H7YgozUUgbEeB30rvGJl/v8SVb77FlyyRAAgyg0wdIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIQBFgCnc6AgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkwgE4fIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIIEkAtyBTk8gARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAQbQ6QMkYE8CU6ZMwfjx43Hu3DlUrlwZkyZNQuPGjTOE8fXXX2PYsGE4cuQI7r33XowaNQodOnQwDbwxY8bgm2++wf79+5EtWzY0bNgQY8eORfny5TPUYc6cOejevXu6z2/fvo3w8HDD6z5ixAiMHDnyDjkLFSqE8+fPZyj76tWr8fLLL2PPnj0oUqQIXnvtNfTp08fwujoELFWqFE6cOJFO3n79+uHjjz9O93cz2njNmjXqu7t9+3b1/f3222/Rvn37FN0SExOV3WfMmIF//vkH9erVU7rL9zyzordPMI1TUFDLEcjsOxAbG4uhQ4fip59+wtGjR5E7d260atUK7733nurTMiru9JfeAuvqO96tWzfMnTv3jtvL93zTpk2ZimSUcdyVfgEBAU71GDduHF599VWnnxnFflqeNaKjo/HKK69gwYIFkOeJli1bQvrfYsWKZWg/d/t1T/qoK92uXLmC4cOHY/ny5Th16hTy58+vxqZ33nlHfQ8zKu76syd1Y1skoJeAq++DtNesWTPIc3Xq0rFjRyxcuFDv7VhfI4GpU6dC/jt+/Li6Qp5933rrLTz44IPqd3f6X423ZrVMCLiyC78rdB8S8C8BGdPeeOMNDBw4UM0Lsr/0rD2c8WW/5z5jV+99Rnhvcl87XkkCJGBUAtyBblTLUC4S8BKBRYsWoXPnzmrCtlGjRpg+fTpmzZqFvXv3okSJEunuunHjRhVcl0lQCZpLwE4mI9atW6eCc2Yobdq0QadOnVCnTh3ExcXhzTffxK5du5TOOXLkcKqCBFflJeLAgQN3fH733XebQWXIg+VXX32F3377LUXeoKAgFChQwKn8x44dQ5UqVdCzZ0/07t0b69evhwSeZZL/scceM4XOFy9eRHx8fIqsu3fvRuvWrbFy5Uo1kZm2mNHGP//8s7JNzZo1lV3SBtBlYYgscBHdypUrh3fffRcSsBI/joiIcGpHvX2CKZyBQlqWQGbfgcjISDz++OOqH6tWrZpaRPLiiy+qfn/btm0ZMtHbX3oTrqvvuAQcL1y4gNmzZ6eIERoairx582YolpHGcVf6pV3kJfV79OiBw4cPo3Tp0k51NIr9tDxr9O3bFz/88IPqo/Ply4dBgwZBgs+yKErGaGfFnX7d0z7qSjcZbyWALv5ZqVIltZhNFuBVrVpVPYtkVNzxZ0/rxvZIQC8BV98HaU+eO+U57O23305pXhbxZragRK8crH8nAelbpR8tU6aM+kAWm8mi0x07dqhgujv9LxlnnYAru/C7knXGbIEE3CWwdetWPPnkk8iVKxeaN2+eEkBnf+ku0Tuvy4gv+z33+bp67zPCe5P72vFKEiABoxJgAN2olqFcJOAlAhL0luCbrAZ3lIoVK6qdQrI6Mm2R3RLXrl2DTGI7ikwc3XXXXSq4asYigdaCBQuqnSFNmjRxqoJMbkvg5erVq2ZUUQXQv/vuO+zcuVOT/IMHD8b333+Pffv2pdSXye8///wTEnwxYxH7/fjjjzh06BCc7Wo0u41Fp9QBdFltK7tsRW+xpxTZbSOZB+RFQhZGOCt6+wQz+gJltiaBtN8BZ1rKxEXdunVVQM/ZIjG5Rm9/6SuazvSTgKOMS9K/ay1GHce12E+eTa5fv44VK1ZkqK5R7Zf2WUMWeMgitnnz5kFsIuXs2bMoXry4yprwwAMPpNPR3X5dq2+4W0/Lc9TixYvx7LPP4ubNmwgODnZ6K3f82V2ZeR0JeIuAs++DTI5Xr149JRjhrXuz3cwJyOIyCaLL4jq9/S/Zeo+Awy6yQI7fFe9xZsskkBmBGzduqHlB2Vgji+4dY5Y7z6sknZ5ARnylJvs99z0ms/c+o743ua8tryQBEjAKAQbQjWIJykECPiAQExOD7NmzQyY1U6dgl53WEmhNm2pQRJKAw0svvaT+c5SJEyeqCSFn6bJ9oEaWbyE72cqWLat2ocuua2dFgqvPP/88ihYtqnY1ywuF7MKvUaNGlu/viwbkwVImjGSnS1hYmMoWMHr06Ax38MlCAtHtww8/TBFPgrOyIvnWrVsICQnxhdgeu4f4ugSTJSW9pCSzoo3TBp8kZbUcsfDHH3/c4aft2rVDnjx50qV9Fibu9AkeMxIbIoEsEtASgJUsHP/5z39U0Fl2VzgrevvLLIqt+fKMAugSPJdd5/K9btq0qco6IYvCMipGHcdd2U922ktqc9lF+PTTT2eon1Htl/ZZ4/fff1cp22XHuSxCdBTJliALBdIeuyKfu9Ova3awLFTU8hwl2Y2GDBkCCS5mVCSArtefsyA2LyUBrxBw9n2QyXE5Ekkmc2Uho6QRlywNGWUD8opgNm5U3t3kfbdr165qB7pkN9Hb/9oYn9dUT2sXyVjC74rXcLNhEsiUgPSPsphF5vZSB3TdeV4l6vQEMuIrNdnvue8xmb33GfW9yX1teSUJkIBRCDCAbhRLUA4S8AEB2ekkAWFJAS3ngDuKBFZlgjptunL5XCbpJZicevL6iy++UOeDy+5WsxWZyJKAoqT2Xbt2bYbiy3myMiF23333qR34EliWHWKyI1uC70YvkjFAAt+SPlKCELKqWM6Al8k8SRubtkg9mchOHWzesGGDSvMvflO4cGGjq3yHfF9++aXy2ZMnT2Z49rHZbZw2+OSw15kzZ+7QuVevXmqxy7Jly9LZ0J0+wVSOQGEtTcBVADYqKgr3338/KlSogPnz52fIQm9/6SuozvSTIxdy5syJkiVLQo7eGDZsmEpRLynAZbGUs2LUcdyV/eTcczm/Xvqp8PBwU9nP2bNGRs9OssDjnnvuUUfqpC3u9Ove9k8tz1GXL19Wu5rkyCB5/siouOPP3taP7ZOAHgIZfR9mzpypvtdy9JMccSCLSSS1+K+//qqnedbVSUAWRzdo0AAy/stYKf3uQw89pP519u6aWf+r89asngmBjOwil/C7QtchAd8TWLhwoVqAK5m65Bk7dQCd/WXW7ZEZX/Z7WeOb2Xu7zGfL/KWe+bCsScOrSYAE7EKAAXS7WJp6kkByqlAJoMuErEwuOIo8PEtKUQmwpi0y8S7B9aeeeirlo88//1ydSSqTE2Yr/fv3x9KlS9UZ7rKzTWtJSEhQk8GyU/ujjz7Seplh6kkKVdmd/Nprr6ld2WmLBNBlYkkm+BxFFlpI8OncuXNqAtBMRVLhiu/KuXtai9lsnFEAPe2CBzkP+tSpU/jll1/SoXAE0PX0CVp5sh4JeJtAZgHY2NhYPPHEE2oRzapVqzLcfe5MRlf9pbf1crTvKsAs9aR/lmC6TNQ8+uijTkUz6jjuSj9Z+NC6dWtMnjxZF3Ij2M/Zs0ZGE5Kio4zP06ZNS6dnRgvZMuvXdcFyo7Kr5yhZdChBKdllL0fD6Mlgo8Wf3RCZl5CA1wi4+j44biyLnGrXrq0WO8n7BIt3CEhmJRn3JevM119/DcmEIRnWJNOaswB6Zv2vdyS0Z6sZ2UV2oKct/K7Y00eote8IyLyAjEfLly+HZEGSoiWAzv5Sm41c8XXWCvs9bWxdvbfXr1/f6QYgf743ua8ZryQBEjASAQbQjWQNykICXibgTrpmo6Z+dQfVCy+8oFKFrlmzRu0K0Vvkwev06dN3nAevtw1/1peXHtn9MnXq1HRiWCmFu+y2Ll26NL755huVbUBPMZONmcJdj2VZ14oEMgrASvBcjp+QNG6ShtBZ1g1XPDLrL11d66nPXQWYHfeRrChy5MjgwYOd3tqo43hm+kmGGBmXJOjhmNzTw9Wf9svoWcOdlJhGS0Xo6jlKzquXBWxyXNCPP/6YaeaAjOzpyp/1+AHrkoA3Cbj6PqS+t+xUlywhsmC5Y8eO3hSLbaci0KpVK7VASZgzhbtxXMNhF2eZV/hdMY6dKIk1Cch8mBznGBQUlKKgHK8gz+WBgYEqa518R/UcOWRNUu5p5YqvZPFMzV7uwn7PPdaOqxzvfa+++qruIw2zdmdeTQIkYBcCDKDbxdLUkwSSCchZ2LVq1cKUKVNSmMjqbwk0jhkzJh0nmXCQCVFJX+4oco6fnL26YMECU3CVB1KZ5JIzvWUnojsp2KWNunXrqpTun376qSn0Ti2kPKjLBJKk837rrbfSyS+BF9mtvXfv3pTP+vbtq4IXGzduNJW+ci6STMjI6t/g4GDNspvNxmmDTyK/nPv+0ksvqUwDUmTRjJyNPHbsWPTu3dspC719gmagrEgCXibgLADrCJ4fOnQIK1euRIECBXRL4aq/1N2gmxdoCaBLqmzJLDNjxgx06dLF6Z2MOo5npp8cKSJpj7dt26abnr/s5+pZIzIyUvmjHCcgCzykyI5ryYYjz1gSeE5b3O3XdUNzcYEr3eRy2XkuOkiQUPSRILreosWf9bbJ+iTgaQJavg9p7yn9mbxDyG5oWRzE4hsCEjQvXry4OopLb//rGwnteReHXeSYOH5X7OkD1Np/BGRuTzYcpC6SoUMyP8mckPSZ7C/dt48rvlWqVGG/5z7edFemfu+To83cmQ/zoDhsigRIwKIEGEC3qGGpFglkREDOm5QzKSVVqKRxl0l3OXtMzsaWNLAyAS+T8Y5guqQPlYkeSfMuQfYlS5Zg6NChKgW6BN7MUPr166fOvhPZy5cvnyJy7ty5kS1bNvV7Wr1HjhwJSQEkwXaZFJa07bJrRNKaSyDd6OWVV17BI488Atl5+Pfff6szSGXSTs6gEztLqnY5G+izzz5TqshZuvIwL0FW2YUtQfM+ffqoRRKPPfaY0dVNkU/SsEt2ATlyQM7OTV2sYOMbN27g8OHDSq0aNWpgwoQJaN68OfLmzatsLYFy+e7Onj1b+e7o0aPVohE5DyoiIkJdJ5NWsup8wIAB6ndXfYJpjE9BbUEgs++AvDBLf/XHH3+o3a+FChVKYSLfEUll7uw74Kq/9CXYzPQTHWSBkOhYuHBhHD9+HG+88YZKV7tv376U77iRx3FXfZiwljFX9Pvggw/UOJS2pO3DjGI/Lc8asjBNfFOCBmJPkV2CxpK60bEbRSYwpR+XflqKln7d2z7qSjeZLJTdH7du3VKLFXPkyJEikkzCOtNNfEGLP3tbN7ZPAnoJuPo+HDlyBHLclZy9nT9/frU4ddCgQeqdQ86bTbvzTO/9Wd85ARkPZZG3BH+kT5KjTeRdQI4wkv5JS/9Ltp4nkJldJGMYvyueZ84WSUAvgdQp3OVa9pd6CWZePzVfPiNkja2r9z4jvDdlTUNeTQIkYEQCDKAb0SqUiQS8TEB2n48bN07tfJKg6cSJE1N2Q8jDXalSpdTkrqN89dVXKmjuSCUqwfSMzlr1suhuNS+73JwVCTLKLjcpafWWXbySAvz8+fOQQLsEK2WiN/XZ8W4J46OLOnXqpFLVX7p0Sa0glsUA77zzDhxnzYneEnyR4KqjSIBd9JbFFBKIkhXIzoIXPlLBrdvIWV6yA04CxnKue+piBRuLvSRgnrZ07dpVfWdlV5Qs/pAd+P/8849a5PLxxx+r77mjyPdb7C/+7CiZ9QluGYIXkYCXCGT2HRCfzuh4DtmNLn2AlLTfAVf9pZdUcdpsZvrJ8Rvt27fHjh071PmuEmSW/kD6dgkYOIqRx3FXfZjoIAv7XnzxRfWMIuNv2mJU+2l51oiKioKkF5RFfbdv31YLmqT/TW0/aSf184mWft3bPupKt4zsKnLJAj2xmZTUuon+WvzZ27qxfRLQS8DV90EyID377LMqi4YsFJHvd9u2bTF8+HC1cIbFOwR69OiBFStWpIwdVatWVe8yEjyXoqX/9Y5k9m41M7vwu2Jv36D2xiGQNoDO/tKztknNl/1e1ti6em83wntT1jTk1SRAAkYkwAC6Ea1CmUiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABHxOgAF0nyPnDUmABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABIxIgAF0I1qFMpEACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACficAAPoPkfOG5IACZCAZwmkPbPKs62zNRIgARIgATsR4JhiJ2tTVxIgARLwHgGOJ95jy5ZJgARIwE4EOJ7YydrUlQRIgASMRYABdGPZg9KQAAmQgG4CfJnQjYwXkAAJkAAJZECAYwpdgwRIgARIwBMEOJ54giLbIAESIAES4HhCHyABEiABEvAXAQbQ/UWe9yUBEiABDxHwx8tETEwMQkNDPaQBmyEBEiABEjAKAY4pRrEE5SABEiABcxPgeGJu+1F6EiABEjAKAY4nRrEE5SABEiAB+xFgAN1+NqfGJEACFiMgLxNVq1ZFeHg4Zs2apQLbffr0wYgRI5SmJ0+exAsvvIAVK1YgMDAQbdq0weTJk1GoUCH1ebdu3XD16lV89913KWRefPFF7Ny5E6tWrVJ/k3tUqVJFtf3ZZ5+hcuXKWL16tcVIUh0SIAESIAGOKfQBEiABEiABTxDgeOIJimyDBEiABEiA4wl9gARIgARIwF8EGED3F3nelwRIgAQ8REBeJnbs2IGXX34ZTz/9NDZu3KiC4suWLUOrVq1Qq1Yt5MiRA5MmTUJcXBz69euHiIiIlOC41gD69u3b0bdvX/To0QOJiYmoUKGChzRgMyRAAiRAAkYhwDHFKJagHCRAAiRgbgIcT8xtP0pPAiRAAkYhwPHEKJagHCRAAiRgPwIMoNvP5tSYBEjAYgTkZSI+Ph5r165N0axu3bpo0aIFWrZsiQcffBDHjh1D8eLF1ed79+5VO8i3bNmCOnXqaN6BHhkZqQL1LCRAAiRAAtYlwDHFuralZiRAAiTgSwIcT3xJm/ciARIgAesS4HhiXdtSMxIgARIwOgEG0I1uIcpHAiRAAi4IyMuEBMQ//vjjlJrt2rVDvnz5UL16dUycOFEF0FOXu+66Cx9++CG6dOmiOYBetmxZzJw5k/YgARIgARKwMAGOKRY2LlUjARIgAR8S4HjiQ9i8FQmQAAlYmADHEwsbl6qRAAmQgMEJMIBucANRPBIgARJwRUBeJiRQLinaHaV9+/bIkycPatSooQLlR48evaMZ+UzOQe/cuTOee+45XL58GUuWLEmp079/f+zZs+eOM9DT3sOVXPycBEiABEjAfAQ4ppjPZpSYBEiABIxIgOOJEa1CmUiABEjAfAQ4npjPZpSYBEiABKxCgAF0q1iSepAACdiWQGYvE88880yGKdy3bt2K2rVrY/DgwVi5cqVK6e4ojRo1QkhICAPotvUqKk4CJGBXAhxT7Gp56k0CJEACniXA8cSzPNkaCZAACdiVAMcTu1qeepMACZCA/wkwgO5/G1ACEiABEsgSgcxeJmbPno1atWohZ86caod6XFwc+vXrp35ftWqVuu+yZctUkH3OnDlo0KAB5s+fr+rK7nVHHWf3yJLQvJgESIAESMCQBDimGNIsFIoESIAETEeA44npTEaBSYAESMCQBDieGNIsFIoESIAEbEGAAXRbmJlKkgAJWJlAZi8TEhQ/efIkXnjhBaxYsQKBgYFo06aNSt9eqFChFCzDhw/H9OnTERUVpVK6x8bGYteuXQygW9lxqBsJkAAJOCHAMYVuQQIkQAIk4AkCHE88QZFtkAAJkAAJcDyhD5AACZAACfiLAAPo/iLP+5IACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACRiKAAPohjIHhSEBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEvAXAQbQ/UWe9yUBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEjAUAQbQDWUOCkMCJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJOAvAgyg+4s870sCJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJGAoAgygG8ocFIYESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESMBfBBhA9xd53pcESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESMBQBBhAN5Q5KAwJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIC/CDCA7i/yvC8JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIChCDCAbihzUBgSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAF/EWAA3V/keV8SIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAFDEWAA3VDmoDAkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAL+IsAAur/I874kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKGIsAAuqHMQWFIgARIQB+BOXPmoHv37uqilStXolmzZnc0kJiYiLJly+LIkSNo2rQpVq1ape8GrE0CJEACJGB5Ao6xZOvWrahdu7bl9aWCJEACJEACviGQlfElICAAw4cPx4gRI3wjLO9CAiRAAiTgUwIfffQRBg4ciMqVK2P37t0+vbcnbjZlyhRkz54d3bp180RzbIMESIAESMCABBhAN6BRKBIJkAAJaCXgmJSKiIhAu3btMG/evDsulYB58+bNIZ/XrFmTAXStYFmPBEiABGxEICsBDhthoqokQAIkQAI6CWRlfGEAXSdsVicBEiABkxGoXr06/vzzTyX1pk2bUK9ePVNpUKVKFeTPn5/zbKayGoUlARIgAX0EGEDXx4u1SYAESMBQBByTUs8//zw+//xznD9/Hrly5UqRsXPnzmr3+bVr1/hgbyjLURgSIAESMA6BrAQ4jKMFJSEBEiABEjAagayMLwygG82alIcESIAEPEdg27ZtqFOnDtq2bYulS5eiZ8+emDFjhudu4IOWGED3AWTeggRIgAT8TIABdD8bgLcnARIggawQcExKrVixAg8//DAmTpyI3r17qyYjIyNRuHBhSFqsSZMm3RFAHzlyJH766SccOnQIcXFxKFOmDPr374/nnnsOMlklpUePHvj2229x+vRplZYqdWnRogUuXLiAPXv2ZEV8XksCJEACJGAAAmkDHI7jQNIe+yHpCeVvx48fV1LLv/fccw/Gjx+PwMBATJ48GRcvXsR9992nxqP69evfoZ1MlL399ttYt24dbt26hYoVK2LIkCF48sknDUCBIpAACZAACXiagLvji8iROoAu4428r7zzzjtq3Ehd1qxZo46q+vLLL/HEE094WgW2RwIkQAIk4AUCffv2xbRp07Br1y41hyX/yoYQx9yTI5ti2qMKHe8fs2fPviN1+syZM9U7yYkTJ3Dvvfdi6NChWL58+R3vLnraPHr0KN544w3IGHP58mXkyZMHEjD/4IMPIDvnS5Uqpe6VupQsWTLlPckLyNgkCZAACZCAHwgwgO4H6LwlCZAACXiKQOpJKQmUHzhwAJs3b1bNy8vIK6+8gnPnzqFBgwZ3BNDl3PTGjRujRIkSqq6kyxo9ejRef/11vPXWW+pvf/31F6pVqwZ5EZEd7o6yd+9edUbVxx9/jH79+nlKFbZDAiRAAiTgJwLuBjgcE1gygVShQgX06dNHaTBs2DC1+OrYsWPInTu3+ptMfrVp00alZhwwYID6+8KFCyH3TjsB5icMvC0JkAAJkICHLi7PlwAAIABJREFUCbg7vogYaXegP/roo9i+fTskqBEUFJQiqSzCWr9+vQpkBAcHe1gDNkcCJEACJOBpArdv31abPcqVK4ctW7bgk08+UXNOMmZ07dpV3U5PsFt2rksQ/rHHHoPMdclmEtk0Eh0drdpyLP7V06a828THx2P48OFq3uzSpUvYsGGD2rgii4137NiBxx9/XL3TyFnoUsLCwlCjRg1P42J7JEACJEACfiTAALof4fPWJEACJJBVAqknpW7cuKHOO9+9e7cKcNetW1f9K4GJzFJLJSQkQP4bM2YMPvzwQ7V70LELXV4M5OVDXg4cRYLmki7+zJkzyJkzZ1ZV4PUkQAIkQAJ+JuBugMMRQJcd5zJOOAIaW7duVWPQggUL0KlTJ6Wd7DbPli2bmiRLHeB45JFHVEBEAu6yi52FBEiABEjAOgTcHV+EQNoAuiPwIRmy2rdvryCdPXsWsuNPFm45FgFbhx41IQESIAFrEpg3bx66dOmiNn1I4FvmsiSgLsFn2fEtRWuwW+ayihYtqsYC2RjiKCdPnlSZS4oUKaI7gC47zuVsc8nkOHDgwAyNwBTu1vRPakUCJEACqQkwgE5/IAESIAETE0g9KVWrVi2ULVsW7dq1U6msqlatql4+ZKd52gf733//Xe04lyCHnI+eukjarEKFCqk/yQSV7PaQdLuNGjVSdeXlRFb1yo53FhIgARIgAfMTcDfA4QigS/YSWYTlKLLbIzw8HO+99x4GDx6Mw4cPq/Hp/fffTzcJJVlOZGGWZDeRIDsLCZAACZCAdQi4O74IAWdnoEva3AIFCuDXX39VkCRoLmONBEruvvtu64CjJiRAAiRgYQKyUUMW1Uq2REe2KjlOUDZ/HDx4UL03aA2g79u3D5UqVVKp1V9++eU7qMkGE8mIpXcHemJiopIhKipKtSntSHbGtIt9GUC3sJNSNRIgARJIJsAAOl2BBEiABExMIO2k1KhRo1RgW1JJ/fbbbyqlu5TUD/byotKwYUOVdqpXr14oVqwYQkND8d1330GulxcMSccrRVbzyvlRkgL+iy++UG2/+OKLkJeU8uXLm5gcRScBEiABEnAQcDfAkfoMdDkyJHVJHfiQ1Lr3339/psAdC75oFRIgARIgAesQcHd8EQLOAuiffvqpSvMr7yKlS5dWaXUlsCHvKSwkQAIkQALGJyALayV1u6Rbl4W0jiLp0du2bauOFZSFuVoD6LLZQzaNzJ8/H88888wdACQTluxK1xtAl0bkWJC3334bS5cuxYULF5A3b17VvsyZRUREpJtnMz55SkgCJEACJOAOAQbQ3aHGa0iABEjAIATSTkpJWnXHuebyYC8vH1JSB9BlBe3UqVPxzz//qB2CjjJ06NB0AXT5THYMvvHGG+oFQiaoihcvnrLrwyAYKAYJkAAJkEAWCKQdS+Sscjm+Y+PGjXe0Kmf+yTEhjkkorQF0Wcwl5wgOGTJEZTVxVmRRlmMyKguq8FISIAESIAEDEXB3fBEVnAXQZTegvIs89dRTqF+/vgpmODJlGUhtikICJEACJJABAZlbSp25Km01SeV+6tQplS1RNnL88ssveOCBB1Kqbdu2DXXq1FG71SXzYmY70GXTiLyvON5dJJiupc20Msmu+C+//BIjRoxQi7gk9bwU7kCnm5MACZCA9QkwgG59G1NDEiABCxNIOyklqkrQfP/+/SpILi8faR/sBw0ahBkzZuDKlSsICQlRn9++fVsFNyT9Yeod6PLZ1atX1S51Oc925cqVaqe6pIlnIQESIAESsAaBtGNJnz59sHjxYnW2bFhYmFJSzgKUVIa5cuXSHUCX62WniVwvuzhYSIAESIAE7EHA3fFF6DgLoMvf33zzTfzvf/9TY0p8fDx27NhhD5jUkgRIgARMTkD6bNnwkS1bNsyaNSudNj/++KNKxf7DDz+gdu3aaj5r3LhxePXVV1PqytEd77zzTkoAXc8Z6HJcoZY2M8IsZ7TLHJpkdZQixygGBwdj8+bNJrcMxScBEiABEsiIAAPo9A0SIAESMDEBZwF0Z+qkXhkr55+3bNlSpXmXFO4SFJFd5nK++aFDh9IF0KU9OZ9WAvIlS5bE0aNH0539ZGKEFJ0ESIAEbE/AMZbIjg6ZCHKkXJdxomfPnmqckMkryVwiRe8OdLlGFmA9+OCDaNq0qdotUrRoUbWQS3aN/PHHHypgz0ICJEACJGAtAu6OL0IhowC6ZNyS46bi4uJUAKZHjx7WgkZtSIAESMCiBCRA/sgjj2Ds2LF47bXX0ml56dIltXlD3hm+/fZbtG7dGtu3b1fvITIXtWLFCnzzzTdq3sqxA10akQ0ivXv3Vmnh5Sx12QQycuRIdYZ5UFCQmsNyFC1t/vXXXxgwYACeeOIJtVhLjjyUeTTZOS8bViTboxR5p1m4cCHmzp2rjhWRDI/33XefRa1HtUiABEjAngQYQLen3ak1CZCARQi4E0AX1eVlQ15aJAgiQQwJkBQsWFBNQKXdgS71V69erc5Mf++99zB48GCL0KMaJEACJEACQmDKlCno378/du3apVIRSvnss89Uny9jgkwIDR8+HD/99JM6j9CdALq0KZNRMuEkbUgwPl++fKhUqRKefPJJNenFQgIkQAIkYC0C7o4vQiGjALp8JsdKyZhy+vRptZORhQRIgARIwPgEOnTooN4npO8uUKCAU4HliI6vvvpK1UlMTMQLL7yggteye12C7y+++KLanZ46gC4NyXnqEmiXrIqyyEoC3UuWLFG/y2JdR5Fd6K7a/Pvvv9W8l6R8l3TyMh7J+1D37t3VtRKUlyLHHMqmFDn26vr16yrI73hPMr41KCEJkAAJkIAWAgyga6HEOiRAAiRgcwKS9l12oMvLgwQ8WEiABEiABKxDYODAgSodruzW4Dnk1rErNSEBEiABfxPwxvgigQ0JUkgQQ4IlLCRAAiRAAiSQloC818gRUu3bt1c71FlIgARIgARIwB0CDKC7Q43XkAAJkIBNCMiK24MHD6qdgfLfpEmTbKI51SQBEiAB6xOQlIhbt25V5wq2atVKpUpkIQESIAESIIGsEvDG+CK7ESUN7/jx49VuRHlHkUxaLCRAAiRAAvYmILvKJcuVZCeRDR+yM3zixInYv38/5IiqypUr2xsQtScBEiABEnCbAAPobqPjhSRAAiRgfQKSqip79ux46KGHVIqsnDlzWl9pakgCJEACNiFwzz33IDIyUp0z+NFHHzHDiE3sTjVJgARIwNsEvDG+jBgxAm+//bZKzTthwgS1q5CFBEiABEiABORoqC5duqiFwVeuXFFzWPXr11fnoNerV4+ASIAESIAESMBtAgygu42OF5IACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACViJAAPoVrImdSEBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEnCbAAPobqPjhSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAlYiwAC6laxJXUiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABNwmwAC62+h4IQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgJUIMIBuJWtSFxJwQiAhIQFnz55FREQEAgICyIgESIAEXBJITEzE9evXUaRIEQQGBrqszwr2IMDxxB52ppYk4EkCHE88SdNabXFMsZY9qQ0JeJsAxxNvEzZv+xxPzGs7Sk4C/iLAMcVf5HlfEjAfAQbQzWczSkwCugicPn0axYsX13UNK5MACZCAEDh16hSKFStGGCSgCHA8oSOQAAm4S4DjibvkrHsdxxTr2paakYA3CXA88SZdc7bN8cScdqPUJGAEAhxTjGAFykACxibAALqx7UPpSCDLBCIjI5EnTx4VCMuVK1eW22MDJEAC1idw7do1tfDm6tWryJ07t/UVpoaaCHA80YSJlUiABFIR4HhCd8iIAMcU+gYJkIAeAhxP9NCyV12OJ/ayN7UlAU8Q4JjiCYpsgwTsQYABdHvYmVramIA8FEgATF4qGEC3sSNQdRLQQYD9hg5YNqpKv7CRsakqCXiIAPsND4G0YDP0DQsalSqRgBcJsM/wIlyTN03fMLkBKT4J+IEA+w0/QOctScCkBBhAN6nhKDYJaCXAhwKtpFiPBEjAQYD9Bn3BGQH6Bf2CBEhALwH2G3qJ2ac+fcM+tqamJOAJAuwzPEHRmm3QN6xpV2pFAt4kwH7Dm3TZNglYiwAD6NayJ7UhgXQE+FBApyABEtBLgP2GXmL2qE+/sIedqSUJeJIA+w1P0rRWW/QNa9mT2pCAtwmwz/A2YfO2T98wr+0oOQn4iwD7DX+R531JwHwEGEA3n80oMQnoIsCHAl24WJkESAAA+w26gTMC9Av6BQmQgF4C7Df0ErNPffqGfWxNTUnAEwTYZ3iCojXboG9Y067UigS8SYD9hjfpsm0SsBYBBtCtZU9qQwLpCPChgE5BAvYjEB8fj9jY2AwVDwoKQnBwMAICApzWYb9hP5/RorEWv0hMTERcXBzEBzMqISEhEB9kIQESsD4BLf2G9SlQQ2cEtPhGVp9nSJ4ESMA6BLT0GdbRlproIUDf0EOLdUmABIQA+w36AQmQgFYCDKBrJcV6JGBSAnwoMKnhKDYJuEngxo0bOH36NCSQmVnJnj07ChcujNDQ0HTV2G+4Cd/il7nyi5iYGJw7dw63bt3KlIQs3ChWrBhy5sxpcWJUjwRIwFW/QUL2JeDKNzzxPGNfutScBKxHwFWfYT2NqZFWAvQNraRYjwRIwEGA/QZ9gQRIQCsBBtC1kmI9EjApAT4UmNRwFJsE3CAgO7UOHToECY4XKFDA6Q5zCaxLoPPixYtql3DZsmURGBh4x93Yb7gB3waXZOYXCQkJyvdkZ7n4nizMcJbhQPxPfE+C7OJ73IluA8ehirYmwPHE1ubPVPnMfMNTzzOkTwIkYB0CHE+sY0tPa0Lf8DRRtkcC1ifAfsP6NqaGJOApAgyge4ok2yEBgxLgQ4FBDUOxSMALBKKionDs2DGUKlUK2bJly/QOEsA8ceIE7rnnHoSHhzOA7gV7WK3JzMYTh++VLFlSLeDIrNy+fRvHjx936ntWY0Z9SMDuBPgcancPyFh/LWNKVp9nSJ8ESMA6BDieWMeWntaEvuFpomyPBKxPgP2G9W1MDUnAUwQYQPcUSbZDAgYlwIcCgxqGYpGAFwg4gpjOguJpb5dZXfYbXjCOBZrUEuzIqu9ZABNVIAESSEWA4wndISMCHFPoGyRAAnoIcDzRQ8tedekb9rI3tSUBTxBgv+EJimyDBOxBgAF0e9iZWtqYAB8KbGx8qm47Agyg287kPlWYwQ6f4ubNSMASBPgcagkzekUJjilewcpGScCyBDieWNa0WVaMvpFlhGyABGxHgP2G7UxOhUnAbQIMoLuNjheSgDkI8KHAHHailCTgCQIMoHuCItvIiACDHfQNEiABvQT4HKqXmH3qc0yxj62pKQl4ggDHE09QtGYb9A1r2pVakYA3CbDf8CZdtk0C1iLAALq17EltSCAdAT4U0ClIwD4EGEC3j639oSmDHf6gznuSgIEIxMcBAYFAYKBmofgcqhmV7SpyTLGdyakwCdxJIDYKCAnXTIXjiWZUtqtI37CdyakwCWSZAPuNLCNkAyRgGwIMoNvG1FTUrgTs8lAwaulerD54EZOfqonyd0fY1dzU2+YEGEC3uQN4WX0GO7wMmM2TgNEJ7F0CfNUDKN8G6Dhfk7R2eQ7VBIOV7iDAMYUOQQI2JpCYCIwuAoTlAnqtBHIVcQmD44lLRLatYGbf+GTdMXy+6QTe7VAFDe/Nb1sbUnES8DUBM/cbvmbF+5GA3QkwgG53D6D+PicwZcoUjB8/HufOnUPlypUxadIkNG7cOEM55POpU6fi5MmTyJ8/Px5//HGMGTMG4eHaVmvb4aHgyMUbaDVhNeQ9PH/OMCzsVR9lCub0uW15QxLwNwFHAL1UqVLIli1bpuLcvn0bx48fxz333JOuP7FDv+FvW5nx/lqCHVn1PTNyocwkYBsCm6YCv7wOVGoPPDlXk9ocTzRhMkQlI72jeOp5xhBgKQQJkEB6AtfOARMqAAFBwNALQFCIS0ocT1wism0Fs/pGYmIiGoz5HeevRSEsOBDTnq2F5hUK2taOVJwEfEnArP2GLxnxXiRAAkkEGECnJ5CADwksWrQInTt3hkxQNWrUCNOnT8esWbOwd+9elChRIp0kn3/+OXr06IFPP/0UDRs2xMGDB9GtWzd07NgREydO1CS5HR4KBn/1FxZtO4WAAKggesGIMHzZuwFK5c+hiRErkYBVCMTGxuLw4cMoUqQIcufOnalaly9fxt9//41y5cohKCjojrp26DesYnNf6pGZX8THx6sxqmDBgsiXL1+mYkVGRuLs2bMoU6YMQkJcT5j6UkfeiwRIIBMCy4cCGyYD9fsDbUZrQsXxRBMmv1cy2juKp55n/A6WApAACTgncHw9MOch4K5SwMA/NVHieKIJky0rmdU3Dl24jtYT16TYLCQoAJM61kDbqoVtaUcqTQK+JGDWfsOXjHgvEiCBJAIMoNMTSMCHBOrVq4eaNWuqHeWOUrFiRbRv317tKk9bBgwYgH379mHFihUpHw0aNAhbtmzB2rVrNUlu9YeC85FRaDzud8TGJ2JWl9oYt2w/Dl64gSK5w7GodwMUz5tdEydWIgErEJBV7JKtQiaeJYge6OScWqlz69YtFTzPkycPChdO/4Ju9X7DCrb2hw6u/EIyq1y9elUF0bNnz44AWdWUpiQkJKjguQTOZeGYszr+0I33JAES0EBA0rfv/gr4zyig4QANFwCu+g1NjbCS1wkY7R3FU88zXgfHG5AACbhHYMd8YEl/4N4WQOdvNbXB8UQTJltWMqtvSPr2d37ci/ql86JARDh++PMsAgOAsY9VxRO1i9vSllSaBHxFwKz9hq/48D4kQAL/EmAAnd5AAj4iEBMTowIKixcvRocOHVLuOnDgQOzcuROrV69OJ8nChQvRp08fLF++HHXr1sXRo0fRtm1bdO3aFa+//romya3+UDD6p32YseYo6pbKiy/7NMDF69HoNGMjjly8iWJ3ZVNB9KJ5Mk9lrQkkK5GASQhIX3Ps2DFIoDKzIsHzu+++22kA0+r9hklMaTgxXfmFBDzOnz+vguiZFVnYIUcHhIaGGk5HEejSjWjMWX8cneoWR7G7uAjLkEaiUP4h8OmDwMkNwOOzgSqPapLBVb+hqRFW8ioBo76jeOJ5xqvg2DgJkID7BFa8Daz9AKjdA3h4gqZ2OJ5owmTLSmb1jW6zt2DVgYt446EK6HF/abz57S4s3HpK2XDk/1VG14albGlPKk0CviBg1n7DF2x4DxIggTsJMIBOjyABHxGQHXdFixbF+vXrVTp2Rxk9ejTmzp2LAwcOOJVk8uTJkF3nEpiIi4tD3759VQr4jEp0dDTkP0eRh4LixYtDUubmypXLR9r65jaRt2LR8L0VuBkTj9nd6qScF3XhWhQ6Tt+I45dvoWS+7FjUqwHuzq3tzHjfSM67kIB3CUjwXCaeMyqy+zdt2vbUdfky4V37mLV1rX4h6dwlC0JGRQLnzrIjGIGLjLXd52xVk1kP3Xc3pjxTywhiUQYSMAaBSVWBqyeA55YBJeprkklrv6GpMVbyCgEjv6Nk9XnGK8DYKAmQQNYJLO4O7PmGGU2yTpItwJzZbqLj4lFt5HJExSbglxcbo8LdudSc3zs/7sOn648pu776QHn0b16GNiYBEvACAb6jeAEqmyQBixJgAN2ihqVaxiPgmJzasGEDGjRokCLgqFGjMG/ePOzfvz+d0KtWrUKnTp3w7rvvQlIrytnGsmO9Z8+eGDZsmFMlR4wYgZEjR6b7zIoB9P/9fgjvLz+ICndH4OeBje/YSXv26m10nLERp67cRukCObCwV30UjGAQ3XjfDEpkRAJ8mTCiVfwvkx38Ytme8+g9b7uCnS0kCNuHtUL20GD/w6cEJOBvAomJwLsFgfgY4MVdQJ4SmiSyQ7+hCYSBK5niHSXyDLCgIxAfB/TfZGCaFI0ESEATgelNgXM7gU5fABXaarqE44kmTLasZEbf2HD4Ep6etRkFIsKw5Y2WKXNZEkSf+OtBfPT7YWXLfs3uVYF0HntlS9em0l4kYMZ+w4s42DQJkEAmBBhAp3uQgI8IuJMesXHjxqhfvz7Gjx+fIuX8+fPRq1cv3Lhxw+kOPrvsQI+KjUej937H5ZsxmNSxOtrXKJrOkqeu3FI70c9GRqFcoZxY0LM+8uUM85HFeRsSMC8BvkyY13belNzqfnE7Jh6tJqzGmau3UzBOfaYmHryvsDexsm0SMAeBm5eA8fcCCACG/g0EazuCwer9hjmMl7mUpnhHuXkZGF86SZFhl4CgECugpw4kYE8CsiDrvZJAdCTQbxNQsKImDhxPNGGyZSUz+sZ7P+/HtNVH8GjNopjwZPV0dpu++gjG/Jy0yaZbw1J46+FKCJQD0llIgAQ8QsCM/YZHFGcjJEACugkwgK4bGS8gAfcJyC7yWrVq3ZGCvVKlSmjXrh3GjBmTrmGp26pVK4wdOzblswULFuC5555TAfTMUjA7LrDqQ8G8jccxbMkedc75qleaITgo0KlhTly+iSenb8SFa9GoWDgXFvSshzzZtU36um9pXkkC5iZg1X7D3Fbxv/RW94vxy/bj45VHUDRPNrSsWBCfbTyBh6sWxv+erul/+JSABPxN4NyfwPQmQM5CwCsHNUtj9X5DMwiDVzT8O0pCPPB23iSKrx4BcuQ3OFGKRwIkkCGBW1eAcfckffzmeSAkmyZYHE80YbJlJTP6RtuP1mLP2WsZbgYRQ87bdALDvtutbPp4rWIY+1hVBDGIbksfp9KeJ2DGfsPzFNgiCZCAFgIMoGuhxDok4CECixYtQufOnTFt2jSVxn3GjBmYOXMm9uzZg5IlS6JLly7qnHRHMF3SsU+YMEHVc6RwlzPQJbAubWkpVnwoiItPQLP3V+H0P7fxdrvK6NKgVKYojly8gY7TN+HSjWjcVzQ35j9fD7mzceeKFv9hHXsSsGK/YU9LelZrK/vF0Ys38MCkNYiNT8T0zrVQKFc42n+8HtlDg/DHsNYIDwnyLEy2RgJmI3DgZ2BBJ6BwdaD3as3SW7nf0AzBBBVN8Y7yXgkgKhLovxUoUM4EVCkiCZCAUwKntwGzWgIRRYBB+zRD4niiGZXtKprNN2Reqva7vyk7bX2zlUrjnlH55o/TeGXxn0hIBNreVxgTO1ZHaLDzzSO2MzwVJoEsEDBbv5EFVXkpCZBAFgkwgJ5FgLycBPQSmDJlCsaNG4dz586hSpUqmDhxIpo0aaKaadasGUqVKoU5c+ao3+Pi4uA4I/3MmTMoUKAAHnnkEfW3PHnyaLq1FR8Kluw8g4ELdyJvjlCsH9wC2UJdBzYOXbiOTjM2qZTv1YvnwbwedRERziC6JidiJdsRsGK/YTsjekFhq/qFnDXY5dMtWHvoEpqVL4DZ3eooevePXanSuU97thbaVLnbC0TZJAmYiMDWT4ClLwPl2wJPfaFZcKv2G5oBmKii4d9RPqwG/HMceG45UKKeichSVBIggTsI/LUY+OZ5oOT9QPelmuFwPNGMynYVzeYbjvmsSoVz4aeBjV3a65fd5/DCgh1qoW+LCgUx5ZmaXNzrkhorkEDmBMzWb9CeJEAC/iPAALr/2PPOJOATArofCs7vAq5fAIrWBLInp0r0iaTabiKBjoc+Wod9565hUOtyeKFlWW0XAuqap2ZuwtVbsahT6i7M6V4XOcKCNV/PiiRgFwK6+w27gLG5nlb1i593nUPfz/9QuzmWv9gEpfLnUJZ+98e9mLXuGNpVL4IPO9WwufWpvu0JrHgHWPs+UKcn0PZ9zTis2m9oBsCKGRLQ7RszmgFndwBPLQLKtyFZEiABsxJYNRZYNRqo8SzQ7mPNWujuMzS3zIpmJ2A23xj05Z/4+o/T6N20NIY8WFET/tUHL6L3vG2Iik1Ag9L5MLNrbeTkXJYmdqxEAs4ImK3foBVJgAT8R4ABdP+x551JwCcEdD8UTL0fuLALePYboExLn8io5yarDvyNbrO3IkdoEDa83hK5s+vbRb77TCSenrkJ16LiUL90XszuVlfTDnY9MrIuCZidgO5+w+wKU35NBKzoF7di4tDyg9U4FxmF/7Ysi5db/5sWePuJf/DY1A1qcmrb0Fbc6aHJS1jJsgS+7Qv8+QXQ8i2g8SDNalqx39CsPCtmSkC3b8zrABz5HWg/Daj+FOmSAAmYlcA3vYG/FnI8Mav9DCi37vHEjzrIhpB6o1fg7+vR+Pz5emhUJr9maTYfvYwec7fhRnScyqo4t3td3fNhmm/GiiRgcQJm6jcsbgqqRwKGJ8AAuuFNRAFJIGsEdD8UzHkYOL4WeOwT4L7Hs3ZzL1zdcfpGbD52Bc/ffw+GPlzJrTvsPHUVz87arF48GpfNj5ldajMw4hZJXmRVArr7DauCoF53ELCiX7z3835MW30Exe7Kht9ebnrHWJCQkIhGY39XwXUZJ1pXKkSPIAH7Epj7f8Cx1UCH6UC1Tpo5WLHf0Kw8K2ZKQLdvfNUD2P0V8MBooEF/0iUBEjArgU/+A5zaDDwxB6jcQbMWuvsMzS2zotkJmMk3Dpy/jgcmrUF4SCB2vvUf3fNQf566iq6zt6isihUL51JHE+bPmfEZ6ma3LeUnAW8RMFO/4S0GbJcESEAbAQbQtXFiLRIwLQHdDwWLOgP7vgceeh+o29NQev9x8h88OmUDQoICsOa15iicO5vb8m07fkWdeXsrJh7NyxfAtM61EBbs+ix1t2/IC0nARAQ9FGqiAAAgAElEQVR09xsm0o2iuk/Aan5x+O/raDNpLeISEjGrS220chIgH/nDHsxefxyP1iiKCR2ruw+PV5KA2Qn8rw5w6SDQ9QfgniaatbFav6FZcVZ0SUC3byx9Bdg6E2jyKtBiqMv2WYEESMCgBMaXAW5eBHqtBopof7bS3WcYVH2K5XkCZvKNWWuP4t2l+9C0XAHMfa6uWzD2n7+GZ2dtwaUb0ShdIIfayZ6VuTG3hOBFJGByAmbqN0yOmuKTgOkJMIBuehNSARLInIDuh4Lv/wv8MRdoPhRo+qqh8Pb6bBuW772AJ2oVw/gnqmVZtk1HL6Pb7C3qHCnZWTjlmZoICQrMcrtsgATMTkB3v2F2hU0s/5QpUzB+/HicO3cOlStXxqRJk9C4ceMMNZLPp06dipMnTyJ//vx4/PHHMWbMGISHh7ukYCW/kPSJz36yGesPX0bLCgXxSbc6TvXfevwKnpi2ERGSxn1YKy60cuklrGBJAomJwOiiQOxN4IU/gHz3albTSv2GZqVZURMB3b7x+yhgzTigzvNA2w803YOVSIAEDEYg+jowpliSUK+fBMJzaxZQd5+huWVW9DQBPe8nzZo1w+rVq9OJ8NBDD2Hp0qWaRDOTb8gmjjUHL2Jo24p4vnFpTfo5q3Ts0k08M3MTzkZGqUxaEkQvmS+H2+3xQhKwGwEz9Rt2sw31JQGjEWAA3WgWoTwk4GECuh8Kfh0OrJ8E1O8PtBntYWncb052CraasAYBAcCvLzVBmYIR7jeW6sp1hy7hublbEROXgP7N78WrD1TwSLtshATMTEB3v2FmZU0s+6JFi9C5c2fIJFWjRo0wffp0zJo1C3v37kWJEiXSafb555+jR48e+PTTT9GwYUMcPHgQ3bp1Q8eOHTFx4kSXJKzkFz/+dRYDvtiBsOBA/PpSU5TIl92p/pLGvf6YpHMKP+1WGy0qMI27S0dhBesRiIoE3kvuU944B4Q6/744U9xK/Yb1DOtfjXT7xsYpwLIhQJXHgMc/9a/wvDsJkIB7BM79BUxvDGTPB7x2VFcbuvsMXa2zsqcI6H0/uXLlCmJiYlJuf/nyZVSrVk2908h7ipZiFt+Iio1HtZHLER2XgOUvNUG5Qlmb0zpz9bYKoh+/fAsFI8JUEL1sFtvUwpt1SMAKBMzSb1iBNXUgAbMTYADd7Bak/CTggoDuh4J1k4DfhgPVngY6TDUM31cW/4mvtp/GA5ULYXrn2h6V64c/z+KFBTuQPTQI6wa3QN4coR5tn42RgNkI6O43zKagReStV68eatasqXaUO0rFihXRvn17tas8bRkwYAD27duHFStWpHw0aNAgbNmyBWvXrnVJxSp+cSM6Di0/WIUL16LxUqtyGNiqbKa6D1+yG3M3nsDjtYrhfQ9kP3EJmhVIwGgE/t4HTKkPhOcBXj+hSzqr9Bu6lGZlTQR0+8afC4FvewP3tgA6f6vpHqxEAiRgMAJ7lwBfdgGK1QGe/02XcLr7DF2ts7KnCOh9P0l7X8mW9dZbb6nsWjlyaNtRbRbfkM0bkgGrUK4wbBrSEgGyOySL5e/rUeg8awsOXLiOasVyY8mA+7PYIi8nAXsQMEu/YQ9rUEsSMDYBBtCNbR9KRwJZJqD7oWD7XOCH/wLlHgSeXpjl+3uigbNXb6Pp+JWIjU/Et/0aokaJuzzRbEobksr34cnrsOfsNQxoXgavPFDeo+2zMRIwGwHd/YbZFLSAvLJTI3v27Fi8eDE6dOiQotHAgQOxc+dOp6kQFy5ciD59+mD58uWoW7cujh49irZt26Jr1654/fXXXVKxil+M/mkfZqw5ihJ5s6vdH+EhQZnqvvnoZXScsQm5woOxbWhrhAbzqA+XzsIK1iJweAUw/1GgYGWg3wZdulml39ClNCtrIqDbNw4uA754EihcHeidPt2vppuyEgmQgH8JrJsI/DYCuO9J4LGZumTR3Wfoap2VPUHAnfeTtPe977770KBBA8yYMUOzSGbxjTE/7cP0NUc9vihX5ssavve7yta4a8QDyBkWrJkdK5KAXQmYpd+wq32oNwkYiQAD6EayBmUhAS8Q0P1QsPd74MvOQPH6QI9lXpBIf5Pv/LgXn6w7hvql82Jhrwb6G9BwxbI959F73nb1srF+cAvkzh6i4SpWIQFrEtDdb1gTg6G1Onv2LIoWLYr169erdOyOMnr0aMydOxcHDhxwKv/kyZMhu85l4VBcXBz69u2rUsA7K9HR0ZD/HEX8onjx4oiMjESuXLkMzScj4Q5euI6HPlyLuIREzSnZ4xMSUW/0Cly6EY053eugWfmCptSdQpOA2wT+mAd8PwAo0xp49itdzXA80YXLVpV1+8apLcAnrYE8JYEX/zIFq9j4BAz7brc6l7Zvs3tNITOFJAGvEvj+BeCPz4CmrwPNh+i6le4+Q1frrOwJAu6+nzjuLVmxZAf75s2b1WLfjIpZ31Ee/HAt9p27hg87VUe76kU9gTyljQZjVuBcZBQW9qqP+qXzebRtNkYCViTAMcWKVqVOJOAdAgyge4crWyUBwxDQ/VBwbC0w92Egf3lgwBa/63H1VoxaTXsrJh5zn6uLpuUKeEUmOef2oY/WYv/56xjYsixeal3OK/dhoyRgBgK6+w0zKGUxGR0TVBs2bFC7NBxl1KhRmDdvHvbv359O41WrVqFTp05499131eTU4cOHITvWe/bsiWHDhqWrP2LECIwcOTLd380aQJdFA0/N3IRNR6+gdaVCmNlF+3EgQ7/bhfmbTqJj7eIY+3hVi3kT1SEBFwRWjQVWjQZqdgH+b7IuXBxPdOGyVWXdvnHpEPC/2kBYbmDISVOw+mnXOfT7/A8EBgDbh7bGXTwmyhR2o5BeJDDnYeD4WqDDDKBaR1030t1n6GqdlT1BwJ33k9T37d27N+TdZteuXZmKY8Z3FEm1XndU0jFa24e2Qr6cYZ5AntJG73nbsGzPBbzxUAX0asIFWx6Fy8YsSYBjiiXNSqVIwCsEGED3ClY2SgLGIaD7oeD8bmBaIyBHQeDVQ35X5KMVhzDh14OoVDgXlv73fo+cE5WRUo5JrojwYKx/vQVyhXMXut8dgAL4hYDufsMvUtr7pu6kSGzcuDHq16+P8ePHp8CbP38+evXqhRs3biAw8M7U5Gbd3ZGRZyzZeQYDF+5EeEggfn2pKYrnza7ZiTYcuYSnZ25Gnuwh2PpmK4QEMY27ZnisaH4CPwwEts8Bmg0Bmrk+7iG1whxPzG9+b2mg2zduXgLGJwcFhl0Ggoyforbb7C1YdeCiQuiNHYfesg3bJQGvEZhQGbh2GujxK1A84x3Gzu6vu8/wmhJsOCMC7ryfONq6desWChcujLffflst8M2smPEd5dsdp/HSoj9RpWgu/PhCY4870ccrD2P8sgNoW7UwPn66psfbZ4MkYDUCHFOsZlHqQwLeI8AAuvfYsmUSMAQB3Q8FkWeAiZWAwBBg2EWog5T8VG7HxKPR2N9x5WYMPnqqBv6vWhGvSiK70B+YtAaH/r6Bl1uXw39blvXq/dg4CRiVgO5+w6iKWFwu2UVeq1atO1KwV6pUCe3atcOYMWPSaS91W7VqhbFjx6Z8tmDBAjz33HMqgB4UlPlZ4Gb2i+tRsWj5wWr8fT0ar/ynHAa00Ne/x8UnqDTul2/GYF6Pumhc1jvZUCzuslTPrAQ+fwI4tDxp97nsQtdRzNxv6FCTVd0goNs34uOAd5LT0r56BMiR3427+u6Sc5G30ei935GQmHTPR2sUxYSO1X0nAO9EAkYjEBsFjLobQCLgxndYd59hNP1tIo/e9xMHljlz5qBPnz44c+YM8uXTl4LcDL7x8qKd+GbHGXWcx+A2FTzuDesOXcKzn2xG8bzZsPa1Fh5vnw2SgNUImKHfsBpz6kMCZiXAALpZLUe5SUAjAd0PBTG3gNGFk1ofcgYIy6nxTp6vNnfDcQz/fg9K5M2O3wc1RbAPdvx9/+dZ/HfBDuTOFoJ1g5sjgrvQPW9Ytmh4Arr7DcNrZE0BFy1ahM6dO2PatGkqjfuMGTMwc+ZM7NmzByVLlkSXLl3UOemOYLqkO5wwYYKq50jhLmegS2Bd2nJVzOwX7/y4F5+sO4ZS+bJj2UtNEBac+WIBZyyGfLMLC7acxFN1i2PMo0zj7spf+LmFCExtBFzYDTz7NVCmlS7FzNxv6FKUlXUTcMs3xpQAoiOBAduA/PoWQukWMIsXTF5xCB/8ehD5coSqxVd5c4Ri25utECj53FlIwI4ELh4APq4LhEYAQ07pXqjvVp9hR85+1lnv+4lDXMmUJe8tCxcu1K2B0X1DjpGqM2oFLt2Ixhc966HhvZ5fABZ5OxbVRi5X7P4Y1lqNOSwkQAIZEzB6v0HbkQAJGIcAA+jGsQUlIQGvEND9UJCYCLxbCIiPBl7cDeQp7hW5XDUaG5+AZuNX4czV23infRV0rl/S1SUe+Tw+IRGtJ67G0Ys38eoD5dG/eRmPtMtGSMBMBHT3G2ZSzmKyTpkyBePGjcO5c+dQpUoVTJw4EU2aNFFaNmvWDKVKlYLs6JASFxcHxxnpsrujQIECeOSRR9Tf8uTJ45KMWf1i//lraPvROkj/Pqd7HTQrX9Clrs4qOHZ2yITUljda+mRRl1uC8iIS8DSBsaWA2/8AfTcChSrpat2s/YYuJVnZLQJu+cakqsDVE26lf3ZLSDcvkqxWTd9fiVNXbmPcY1Uhi7iuR8fhu/6NUL246/HWzdvyMhIwNoEDvwALOgJ3VwX6rNUtq1t9hu678AJPENDzfiL3O3jwIMqXL4/ly5ejdevWukUwum/sO3cND364FtlCgrBzeGu3FvJqgdL8/VU4dulmlt53tNyHdUjACgSM3m9YgTF1IAGrEGAA3SqWpB4kkAEBtx4K3i8P3DgP9F4LFPbPLjvHGVH5c4Zi3eAWCA/Rv1vQXadw3Puu7LILvQVyhBn/jEV3deV1JOCMgFv9BlFanoAZ/UJ2fHScvglbjl9Bm8p3Y1rnWm7bSdK41xn1G/65FYsvnq+HhmU8v3vEbeF4IQl4i0Ds7eSUuwAGnwCy6Qv+mbHf8BZKtnsnAbd8Y3pT4NxO4OkvgXIPGBbphsOX8PSszYgIC8aWN1vh5S934ufd5zGwZVm81LqcYeWmYCTgVQIbpwDLhgCV2gNPztV9K7f6DN134QVmJGB035ix5ghG/7QfzcsXwOzudb2GeODCHViy8yyPI/QaYTZsJQJG7zesxJq6kIDZCTCAbnYLUn4ScEHArYeCj+sDF/cBXb4HSjf1OWMJeLSZtBYHLlz3yy5wCZK0mrAaxy/fwpAHK6B303t9zoA3JAF/EnCr3/CnwLy3TwiY0S8cC6Jkx8dvg5qiaJ5sWWL1+td/YeHWU3imXgmM6nBfltrixSRgCgKXjwCTawIhOYA3zjDlrimMZg4h3RpT5nUAjvwOdJgOVOtkWEVfXLgD3+08i6frlcDoDvfhy62n8NrXf6Fa8TxY0r+RYeWmYCTgVQJLXwG2zgTufwloNUL3rdzqM3TfhReYkYDRfaPzJ5ux9tAlvPVwJTx3/z1eQyzHVUnGk1YVC2JW1zpeuw8bJgErEDB6v2EFxtSBBKxCgAF0q1iSepBABgTceij49EHg5AbgiblA5fY+Z/v7/gt4bs425AwLxvrXW6jzyH1dvtp+Gq8s/lOdWyi70LOF+m4HvK915f1IIC0Bt/oNYrQ8AbP5hZwF2PKD1eq8wdfalEe/Zlk/kmP1wYvo+ukWSHaUzW+0QhDPsrW839tewWNrgbkPA/nKAC9s143DbP2GbgV5gdsE3PKNr54Ddn8NPDAGaNDP7Xt780IZe+qO+g3RcQkqWC5B8wvXolBv9AoEBABb32yF/DnDvCkC2yYBYxKY/xhw+Dfg/yYDNbvoltGtPkP3XXiBGQkY2TeiYuNRdeRyxMQl4LeXm6BMwQivId52/Aoen7YRBSLC1HFTATLosJAACTglYOR+gyYjARIwFgEG0I1lD0pDAh4n4NZDwYKngQNLgYcnAbW7e1wmVw0+OW2jSrfbu0lpDHmooqvqXvlczmCXwMvJK7cwtG1FPN+4tFfuw0ZJwIgE3Oo3jKgIZfIoAbP5xYjv92DOhuMoXSAHfhnYBKHBgVnmIWND7Xd/gwRIFvSsjwb35stym2yABAxN4M9FwLe9gHuaAF1/0C2q2foN3QryArcJuOUbSwcBW2cBTV4DWrzp9r29eeG8jccxbMkeVLg7Aj8PbJwSwGj70VrsOXsNE56shkdrFvOmCGybBIxJ4KMawJWjQNcfgXsa65bRrT5D9114gRkJGNk31hy8iC6fbkHh3OHY8HoLrwa1b8fEo8qIZYhPSMTGIS1QOHfWMm+Z0RcoMwloJWDkfkOrDqxHAiTgGwIMoPuGM+9CAn4j4NZDwXf9gZ3zgZbDgcYv+1R2x6rZ0KBArB3cHIVyhfv0/qlvtmjrSQz+epdawbv2teY+PYfdb0rzxiQAwK1+g+QsT8BMfrH37DU8PHktEhKB+T3q4f6ynjuv/NXFf2Lx9tPo0qAk3m5XxfJ2p4I2J7BuIvDbCKDaU0CHabphmKnf0K0cL8gSAbd84/d3gTXjgTo9gbbvZ+n+3rpYxp7dZ66lS9X7/rID+N/Kw3ikWhFMfqqGt27PdknAmATi44BRhYCEOOClvUDuorrldKvP0H0XXmBGAkb2jVFL92Lm2mN4snYxjHu8mtfxtpm0BvvPX8e0Z2uhTZW7vX4/3oAEzErAyP2GWZlSbhKwKgEG0K1qWepFAskE3HooWPYmsPF/QMP/Av95x6csn5+7Fb/t+xud6hTHe49V9em9095M0mw1f38Vzly9jeGPVEL3Rt47r8qvivLmJJCGgFv9BilanoCZ/EJ2esiOj7ZVC+Pjp2t61DYr9/+N7nO2qsVVm4e0RCDTuHuULxszGIGfXgX+n73zgI6i6h74j4RQQq/Sew+9BRJK6EWlqiAIAiIgVSlSpUPoRaWjgEgTBVGQGjqETuihVwm9l/T8zyyGz7+U7M7M7s5s7p7j+b5j3m2/d71T3rz79s2Gyr2gxmCbnTNT3bA5OBHQREBVbgROg/UDoOgH8MEPmuzbQ/jE9Ye8++1OlA+B9w6oQZpkiV6aif1IWDma6uCgmiR0194VxR4xiE4hYBcC9y7CtyXBPTEMvAFutue/qpphl2BEqdEIGDk3Yhe0lQ+nlA+o7P3r++tRlh24Sme/vHxdt5C9zYl+IWBaAkauG6aFKo4LARclIAvoLjqxEpYQiCWg6qZg+wTYPAJKtYKG3zsM5pmbj6k9ebvlfMCAnlXJkyG5w2y/ydCivZcZuPI476RMzLY+sgvd6RMiDjiEgKq64RDPxIgzCZglLx6FRlBq+EZL+8Itvf3InT6ZrtiUj6vKjNzI49BIfulYkfK50+qqX5QJAUMRWNoSgldD/QlQ/nObXTNL3bA5MBHQTEBVbgQtgd87Qd7q0GqlZh/0VjBk1XEWBF7m3WKZmdby/3+8FRmlXDteHAHy2xcVKZNTrh168xd9BiZwLgB+bgIZCkGXvaocVVUzVFkSIbMRMGpu3HoUSvnRAZb3WwcH1SLtvz6qshfj2PdXlfKl5+f23vYyI3qFgOkJGLVumB6sBCAEXJCALKC74KRKSELg3wRU3RTs/wHW9IRC70HzRQ4D2vOXIFYc+pt6RTMx45MyDrP7NkNhkVH4jd9KyMNQRjT0olXFXIbwS5wQAvYkoKpu2NMh0W0IAmbJi7XHQvhi0SHypE/G5t5+dmEXe71q45OLoQ287GJDlAoBQxCY7QfXD0PzJVCovs0umaVu2ByYCGgmoCo3Tq+DJc0gSynosFWzD3oqCI2Iwnt0gGWBfEG78lQtkOEV9d2WHObPI9fpWi0fvesU1NO86BICxiawfy6s6QUF68PHS1T5qqpmqLIkQmYjYNTc+O3gNXotP0LxbKn4o2slh2A9/vdD3vtuJymTJOTIkNp2PXPdIQGJESFgJwJGrRt2ClfUCgEhoIGALKBrgCeiQsAMBFTdFBxfAb+2hZyVoO0ah4R563EoPv6biYyOYVUXX0pkT+0Qu9YY+SnwEoNXnSBzqiRs7eNH4oTu1ojJGCFgWgKq6oZpoxXHrSVglryIbV3Y1jcXQ963z+L2ppM3af/TATKlTMLuftWljbu1SSTjzEdgQkF4cgM6bIMsJW323yx1w+bAREAzAVW5cWUv/Fgb0uSCHkc0+6Cngj+OXKf7ksNkSZWEHX2r4/6a4z1WHLpGz1+O4JUlJWu6V9bTvOgSAsYmEHtEXIUuUHe0Kl9V1QxVlkTIbASMmhtfLj3M70HX6VItL33qOKadekRUNF5D1qN0zLJHJy6z5Yb4KwTeRMCodUNmTAgIAeMRkAV0482JeCQEdCWg6qbg/BZY2AgyekHn3br68yZlsa2mlIVzZQHdSD9lR0nV8Vu4+SiM0Y2L0cI7h5HcE1+EgO4EVNUN3b0QhUYjYIa8iImJoaL/Zm48CuWnduWp8podgHpwVbqTlBmxiSdhkdKKVw+gosOYBKIiYISyizYGep+D5K/uqI3LcTPUjbhikL/bh4Cq3Lh9BqaVgySpoN8V+zimUusnc/ey89wdutfIT89aBV6r5c6TMMqO3GT5274BNciYMolKayImBExGYEkLOL1G9XEgSrSqaobJMIm76ggYMTeio2MoP3oTd56Es7RDBSrkSacuOBVSjabtIujqA6Y2L0nDkllVaBARIeD6BIxYN1yfukQoBMxJQBbQzTlv4rUQsJqAqpuC60EwuyqkyAK9TlltS8vAtvP2seX0bfrUKUiXavm0qLKL7LxdFxn250mypk5q2YXu4e5mFzuiVAgYgYCqumEEx8UHuxIwQ16cCnlEvak7SOrhzuHBtUjiYb+OIbG7Sj6rlJtv3itiV/aiXAg4hcCDqzClKLh5wKBb4Gb7vY8Z6oZT2IpRdYthT+/A+Lwv6A2+B272q/G2TNHVe8+oPG6LRWTH19XIntbzjeINv9/JkWsPGfdBcT4qm90WMzJWCJiXwLQKcPsUfPIb5KupKg65nqjCFi+EjJgbJ64/5N1vd+KZyJ2gwbVJlND2eyi1kzdk1XEWBF6mnW9uBr8vzyhqOYqcaxMwYt1wbeISnRAwLwFZQDfv3InnQsAqAqpuCu5fhqnFIWFSGHTDKjtaBj0Ni6TUiI2WNlMbv6pC/ndSaFFnF1llF3qlsVtQdo6Ma1qcj8rJCy+7gBalhiCgqm4YwnNxwp4EzJAXM7aeZ+y6YKoXysiPbcrZEwfrT9yg48KDlna9O/tKG3e7whblziFwdR/8UAtS54Avj6nywQx1Q1VgIqSZgKrciIqEEf/s4utzAZI5bkff2wKetPEM3wacxTdfOha1r/BWNpM3nmFqwFnqF8vE9JZlNHMUBULA8ASio2F0Foh8Dt0PQ9o8qlxWVTNUWRIhsxEwYm7M3HaeMWuDqVEoIz/Y+Znkv/MVe/Z62Zxp+PULH7NNp/grBBxCwIh1wyGBixEhIARsJiAL6DYjEwEhYC4Cqm4KQh/BmH8WiAfeAI+kdg163fEQOv18iJzpPNna248ECRLY1Z5a5XN3XGDkmlPkSOvJ5l5VSSi70NWiFDmDE1BVNwwek7innYAZ8qLZrED2XrzH8IZetK6YS3vQb9GgfFhVZsRGnoZHsbKzD6VypLGrPVEuBBxO4MRKWN4GclSEdutUmTdD3VAVmAhpJqA6N/yzQ9gj6HoQ0ju/a1VUdAyVx27m+sNQq9rlKm11lfa6KRIn5NDgWtLVSnMmiQLDE3h0HSYVBreEMPAmuCdU5bLqmqHKmgiZiYARc6Pl3D3sOneXoe8XoY1vbofiPHfrMTUnbSeJhxvHh9aR91YOpS/GzELAiHXDLOzETyEQ3wjIAnp8m3GJN94RUHVTEBMDw9NBTBT0DIaUme3KrecvQaw49DftK+VmkIHb4D4Lj6Ty2C3cfRrOhA9L8EGZbHblIsqFgLMIqKobznJW7DqMgNHz4nFoBKWGbyQyOobtfaqRI92bW+jqBa3bksP8eeQ6HarkYUD9wnqpFT1CwBgEAqfB+gHg1QQ+nKfKJ6PXDVVBiZAuBFTnxpRi8OAKfLYJstu304g1gW4/c5vWP+4jVVIP9g6oEefRIcq5uGVHbeLeU8efi2tNPDJGCOhO4NJOmP8upMkNPYJUq1ddM1RbFEGzEDBabjwPj6LEsA2ER0UT0KsqeTMkdyhK5TpTfNgGnoRFsrZHZQpnTulQ+2JMCJiBgNHqhhmYiY9CIL4SkAX0+DrzEne8IaD6pmBcXnh2B74IhHfsd25SZFQ05UZt4v6zCJZ2qECFPMZoxfimBIltxZU7fTJLu3nZhR5v/lOKV4GqrhvxilL8C9boeRHbzSRP+mRs7u3nkAlaeyyELxYdImvqpOzsW82wHVQcAkOMuB6B9QMh8Huo2BXqjFIVn9HrhqqgREgXAqpzY1YVCDkCLZZDgdq6+KJFSZfFh1hzNIRPK+ZkWMOiVqn6alkQKw//TaeqeelXr5BVMjJICJiWwKGF8EdXyFsDWq1QHYbqmqHaogiahYDRcmPr6Vu0mbffqc8HzWcHsufCPcY2LUazcjnMMpXipxBwGAGj1Q2HBS6GhIAQsJmALKDbjEwEhIA2AtOnT2f8+PGEhITg5eXFlClTqFy58muV+vn5sW3btlf+Vr9+fdasWWOVI6pvCr4rC3fPQpu/IJevVbbUDNp74S7NZu8htacHBwbWNPyCtHJee6Wxmy0L/lOalaRRqaxqwhYZIWBoAqrrhqGjEue0EjB6XvT77ShL91+lrW8uhrzvpTVcq+SVHSalR2zkeUQUf3T1pXi21FbJySAhYAoCy9vCiRVQxx8qdlblstHrhqqgXFTINM8oPzWCC1ug8Swo0dyps3H/aTjeowMsuwzXdK+EV5ZUVvmzKuhveiwNolCmFLQesaUAACAASURBVKz7sopVMjJICJiWwKZhsHMSlGsP705UHYZcT1Sjc3lBo+XGiNUn+WHnRZqXy86YpsWdwt//r1PM2n6BFt45GN24mFN8EKNCwMgEjFY3jMxKfBMC8Z2ALKDH9wyQ+B1KYNmyZbRq1QrlBZWvry+zZs1i7ty5nDx5khw5Xv0q9N69e4SHh7/08e7du5QoUcIi06ZNG6t8V31TMLcWXNsHzRZB4fessqVm0Kg1J5mz4yJNSmVlUrOSalQ4XGbalnOMX3+avBmSseGrqri7GfPMdoeDEYMuQ0B13XAZAhLI6wgYOS9iYmKo6L+ZG49CWdCuPFULZHDYJHZZdIg1x0LoWDUP/etJG3eHgRdD9ifwQx24ugc+XABejVTZM3LdUBWQiwqZ6hkl9sOOumOgwhdOnZEfd15k+OqTFM2aktXdXv9B9OscVBbey4zcSHQM7O5XnSypkzo1DjEuBOxKYHkbOLES6oyGil1Um5LriWp0Li9otNyoPXkbZ24+YVqL0rxb3L7HIb5pcpXOKEqHFFuvTy6fLBKgEPiHgNHqhkyMEBACxiUgC+jGnRvxzAUJeHt7U7p0aWbMmPEyusKFC9OoUSP8/f3jjFjZrT548GDL7vVkyZLFOV4ZoPqmYNFHcHY9NPgeSreyypatg5QFj2oTtnLp7jNmtCxNvWLOebiw1W/lnN1KY7fw8HkE331civdLZLFVhYwXAoYmoLpuGDoqcU4rASPnxamQR9SbuoMkHm4EDa4d5xm0Wln8Wz72BVWOtJ5s6+Mnbdz1hCu6nEtgcjF4qJw1vRGyl1fli5HrhqqAXFTIVM8oq3vCgR+gal+oNsBpM6I8xyjXneAbjxne0IvWFXPZ5EuT6bs4dOWBZWegskNQfkLAZQnEHrvQfAkUqq86TLmeqEbn8oJGyo0bD0Op4B9AggRw+JtapPZM5BT+V+89o/K4LSR0S8DxYXUc+mzklIDFqBCwkYCR6oaNrstwISAEHExAFtAdDFzMxV8Cyk5yT09Pli9fTuPGjV+C6NGjB0FBQa9t1f5fWsWKFaNixYrMnj37jSDDwsJQ/on9KTcF2bNn5+HDh6RMmdL6CVjREY4uhVojwLe79XI2jDx36zE1J20nkbsbhwbXInnihDZIO3fotwFnmbTxDAXeSc66HlVwk13ozp0Qsa4rAXmY0BWnyygzcl7M2HqeseuCqVYwA/PaqlvoUztRytEeyk7C0IhoVnerRNGs1rXwVWtP5ISAQwhER8PIDBAdCV+dgFTZVJk1ct1QFZALCpnuGSVgBOyYAOU7QP3xTpuRo9ce0OD7XSRK6Mb+ATVJ5elhky/fBZxl4sYz1CryDnNal7VJVgYLAdMQiImBMTkg7BF03gsZC6l2Xa4nqtG5vKCRcmP5gav0+fUoJbKnZlUX+x2FGNekKh95lRm5iXtPw1nZ2YdSOdLEJSJ/FwLxioCR6ka8Ai/BCgETEpAFdBNOmrhsTgLXr18na9as7Nq1Cx8fn5dBjB49mgULFnD69Om3BrZv3z6U3SF79+6lfPk3Lw4MHTqUYcOGvaLL5gX0tf1g7wyo1BNqDrEL9OlbzzFu3Wn8CmZgvoMXPLQGpOw+V85Cfxwaaard81rjFvn4QUAeJuLHPNsapZHzotmsQPZevMewBl586mPbLkBbObxufKeFB1l34gad/fLydV31L4f18EV0CAFdCDy5BRPyQwI3GHQL3G1bHIz1wch1QxdOLqDEdM8ogdNg/QAo9iE0neu0GRi48hiL9l6hYcksTG1eymY/jv/9kPe+20myRO6WD4kTJ3S3WYcICAHDE3h6F8bnARLAwBvgkUS1y3I9UY3O5QWNlBvdlxzmjyPX6VY9H71qF3Qq+zbz9rH19G2nPR85NXgxLgTiIGCkuiGTJQSEgLEJyAK6sedHvHMhArEvp3bv3m3ZRR77GzVqFAsXLiQ4OPit0Xbs2BFF9tixY28dp9sO9K1jYetoKNMW3p9il5mIbV04slFRPqmQ0y427KlU2YGu7EQvlCkFf3WvLLvQ7QlbdDuUgDxMOBS3aYwZNS+UYzVKDd9IZHSMpYV6znTWHXGiJ3jlRZnywixXOk+29JY27nqyFV1OInD9MMz2gxSZodfb71Hf5qFR64aTqBrSrOmeUYIWw+9fQN4a0GqFU5g+D4+i/KhNPA6LZHF7b3zypbfZj+joGLz9A7j9OIxF7b3xVaHDZqMiIAQcTeDqfvihJqTMCj1ParIu1xNN+Fxa2Ci5odT1sqNe7Pr+pWNFyudO61Tuse+rmpTOyqSPSjrVFzEuBIxGwCh1w2hcxB8hIAReJSAL6JIVQsBBBLS0R3z27BmZM2dm+PDhKC3fbfmpvinYOxvW9oEijeCjBbaYtGqs8rKo/OhNKF3d9vSvQaZU6r9Gt8qgHQY9eBZuOQv9SVgks1qVoY5XJjtYEZVCwPEEVNcNx7sqFh1IwKh5se54CJ1+PkSe9MnY3NvPgUT+Z0q5DpQesZHwyGjLB1VFsthwZIpTPBajQiAOAsFrYGkLyFIaOmxRjcuodUN1QC4oaLpnlNNrYUlzzbmpZSpXHLpGz1+OkD1tUrb1rqb6I9o+y4+w/OA12lfKzaD3imhxSWSFgDEJHP0FVnwOuSpDm9WafJTriSZ8Li1slNz4d2eRoCG18XB3cyr3gFM3+WzBAfJlTM6mnlWd6osYFwJGI2CUumE0LuKPEBACrxKQBXTJCiHgQAJKC/YyZcowffr0l1aLFClCw4YN8ff3f6Mn8+fPp1OnTvz999+kS5fOJo9V3xQcXQ4r2kPuqvDpHzbZtGbwsv1X6PvbMYpnS8UfXStZI2LIMePXBzNty3nLWeh/dqsk7RcNOUvilK0EVNcNWw3JeFMRMGpe9PvtKEv3X6Wtby6GvO/lNKaf/3SAjSdvGqJlo9MgiGHXIbBvDvzVGwq9B80XqY7LqHVDdUAuKmiqZ5Qre+DHOpAmN/QIcsqMxB4b0rNWAbrXyK/ahzVHQ+iy+BB5MyQjoJdzPgBT7bwICgFrCGwdA1v9oVQraPi9NRJvHCPXE034XFrYKLkRe0RhzcLvMPfTsk5nrmxaKTdqEwkSwLGhdUieOKHTfRIHhIBRCBilbhiFh/ghBITAmwnIArpkhxBwIIFly5bRqlUrZs6caWnjPnv2bObMmcOJEyfImTMnrVu3tpyT/t/F9MqVK1v+/dKlS232VvVNwdlNsKgpZCoOnXbYbDcugfYL9rPp1C161SpANw0vnuKyY++/338aTs1J27j7NJzPKuXmG9k9Ym/kot8BBFTXDQf4JiacR8CIeRETE0NF/83ceBTKgnblqVogg9MA/X74b75cFkQeZSGkZ1USKG+r5CcEzEpg0zDYOQnKd4T641RHYcS6oToYFxY01TPK7dMwrTwkSQ39Ljt8Vi7deYrfhK2WBYldfauTJXVS1T48fB5h6V4SFR3Djq+rkT2tp2pdIigEDElgRUc4uhRqDIHKPTW5KNcTTfhcWtgoufHx7D0EXrjL8IZetK6YyxDMffwDuP4wlCWfV6BiXts24xgiAHFCCNiJgFHqhp3CE7VCQAjoSEAW0HWEKaqEgDUElN3n48aNIyQkhKJFizJ58mSqVKliEfXz8yNXrlwoO85jf2fOnKFgwYJs2LCBWrVqWWPi/41RfVNw7SDMrQ6pcsBXbz933VanlHMDSw7fQFhkNOu+rEyhTOZudRvbGkvh4OwFHFvnQsYLgdcRUF03BKdLEzBiXgTfeETdKTtI4uFG0ODaJPFwd9ocPAqNoOyITYRHRbP+yyoUzJTCab6IYSGgmUDsokfNYVDpS9XqjFg3VAfj4oKmeUZ5chsm5AMSwOC74ObYuh/bfUr5YEu579f6+2hWIPsu3mNEQy9aGWTBRWtMIi8EXhKYWwuu7YMPF4BXI01g5HqiCZ9LCxshN56FR1Ji2AYiomLY0tuP3OmTGYJ5p4UHWXfiBv3rFaJj1byG8EmcEAJGIGCEumEEDuKDEBACcROQBfS4GckIIWBqAqpvCu6eh+9KQ6IUMOCargw2nLhBh4UHyZYmqWW3hSvs0hu86jg/BV4mffLElo8ClP+VnxAwKwHVdcOsAYvfVhEwYl7M3HaeMWuDqVYwA/Paal/IsArEWwbFdlfpUSM/X9UqoFWdyAsB5xGY/x5c2gFN5kDxj1T7YcS6oToYEdSVgOrciIqAEelf+PL1RfBMq6tfb1MWGRWN79jN3HwUxvSWpalfLLNm2zO2nmfsumCqF8rIj23KadYnCoSAoQiMywvP7kDH7ZC5hCbXVNcMTVZF2AwEjJAbW4Jv0Xb+fsO944ptK/9uscxMa1naDNMpPgoBhxAwQt1wSKBiRAgIAc0EZAFdM0JRIASMTUD1TcGzezAu94vgvrkD7h66Bfr1r0f45cA1p59Xq1tAQGhEFA2+38mZm0+oUSij5cwrV/gwQE9Goss8BFTXDfOEKJ6qIGDEvGg+O5A9F+4xrIEXn/o4v1Xibwev0Wv5EQq8k5wNX1VVQVlEhIBBCHxXBu6egzZrIFcl1U4ZsW6oDkYEdSWgKTdGZ4Pwx9DtEKRz3I66zcE3aTf/AGmTJWJP/xokSuimmcmpkEfUm2qMTiqagxEFQuDfBEIfwZjsL/5Nv6uQRFvXOU01Q2bGpQkYITeG/XmCebsu8XH5HPg3KWYY3rvO3aHl3L2Whf2dfasbxi9xRAg4m4AR6oazGYh9ISAErCMgC+jWcZJRQsC0BFTfFERHwXDljKQY6H0Okutzrqxyxl/5UZssZ4Yvbu+NT75/dpCYlvD/HFdegDWctovwyGhDnXvlAmglBAcTUF03HOynmHMsAaPlxePQCEoN30hkdAzb+viRM53zWyU+eBZOqREbiYmBfQNrkDFFEsdOklgTAnoQUBJ4dBaIeAbdD0PaPKq1Gq1uqA5EBHUnoCk3JheDh1egfQBkK6u7b29S2HHhAdafuMlnlXLzzXtFdLEbExNDRf/N3HgUKkdB6UJUlBiGQMgRmFUFPNPD1+c1u6WpZmi2LgqMTMAIuVFz0jbO3XrCjJalqadDdxK9eD98HmFpLa/8Dg6qSTrplKgXWtFjcgJGqBsmRyjuC4F4Q0AW0OPNVEug8ZWAppuCMTkh9AF02Q8Z9GlFe/DyPZrOCCRlkoQc/KYWHu7ad24YaW7n7brIsD9PWnak/Nm1kpyBa6TJEV+sJqCpblhtRQaajYDR8mLd8Rt0+vmg5YxB5axBo/zqT93ByZBHfPtxKRqUyGIUt8QPIWA9gef3Yew/HR0G3gCPpNbL/mek0eqG6kBEUHcCmnJDWZRTFuda/gr5a+nu2+sU3n4cRkX/AMtHW+u/rKLrPX7/FUdZsu8qbXxyMbSBl0PiESNCwO4ETvwOyz+FbOWh/UbN5jTVDM3WRYGRCTg7N64/eI7PmM24JYDD39Qmlad+3Rv14F59wlYu3HnKvLblqFYwox4qRYcQMD0BZ9cN0wOUAIRAPCIgC+jxaLIl1PhJQNNNwdSScP8itNsAObx1Aei/9hSztl2gYcksTG1eShedRlKi7CJRzr7aevo2Bd9JwaquviTxcDeSi+KLEIiTgKa6Ead2GWBWAkbLC6MuOAz/8yQ/7rpIC+8cjG5snBaOZs078dsJBG6egBk+kDQt9L2oyQGj1Q1NwYiwrgQ05cZPDeHCVmg8G0o009WvNymbs/0Co/46RYnsqVnVxVdXm+tP3KDjwoPkSufJ1j7VdNUtyoSA0wjsmAQBw6B4M2gyW7MbmmqGZuuiwMgEnJ0bv+y/yte/HaVUjtSs7Kzv9UEP7l8uPczvQdf5qmYBetTMr4dK0SEETE/A2XXD9AAlACEQjwjIAno8mmwJNX4S0HRTMLsaXD8EHy+DgnV1AVhj4lbO337K9y1K8V5x19yZp+xQqTd1O3eehMtOEl2yRpQ4moCmuuFoZ8WewwgYKS/+3fJ2ftty+BloN8XGkzf5/KcD5EmfjM0G2hnvsEQRQ+YncHYTLGoK7xSDL3ZqisdIdUNTICKsOwFNubG8DZxYCXXHQoVOuvv2X4XKNafW5O2W9rzKh1HKB1J6/p6ERVJq+AYiomIsHVWUziryEwKmJ/BHNzj0E/j1B79+msPRVDM0WxcFRibg7NzouvgQq4+G0L1GfnrW0qdzo568f9x5keGrT1KjUEZ+aFNOT9WiSwiYloCz64ZpwYnjQiAeEpAF9Hg46RJy/CKg6aZgYRM4HwCNZkLJjzWDu3D7CdUnbsPDPQGHvqlFiiTGam2lOcB/Kdhy+hZt5+23/Jt5bcpRrZC0ytKTr+iyLwFNdcO+rol2JxIwUl4E33hE3Sk7SJzQjSNDahuq08fDZxGUHLHBcg763gE1eCelnIPuxLQV02oIHFwAf3aH/HWg5S9qNLyUMVLd0BSICOtOQFNurP4KDvwIVftBtf66+/ZfhQcv36fpjN0k9XBn38AadnmGaTFnD7vP32Xwe0VoVym33WMSA0LA7gTmvweXdkCTOVD8I83mNNUMzdZFgZEJODM3oqJjKDNyIw+eRfBrp4qUzZXWcKhij1FMnzwx+wfWIEGCBIbzURwSAo4m4My64ehYxZ4QEALaCMgCujZ+Ii0EDE9A003Br5/B8V+hjj9U7Kw51tnbzzP6r2Aq50/Pws/0aQmv2Sk7Khj6xwnm775E+uSJWNujChlSJLajNVEtBPQjoKlu6OeGaDIYASPlxcxt5xmzNhi/ghmY37a8wUjBe9/t4Pjfj5javCQNS2Y1nH/ikBB4K4Et/rBtDJRpA+9P1QTLSHVDUyAirDsBTbkRMBx2TITyHaH+ON19+6/Cvr8eZdmBqzQtnY2JH5Wwi73YFvFVCmTgp3bGu67ZJWhR6toEJhWBR3/DZ5sgu/Zdr5pqhmuTNlx006dPZ/z48YSEhODl5cWUKVOoXLnyG/188OABAwcOZMWKFdy/f5/cuXMzceJE6tevb1VszsyNo9ce0OD7XaRInJBDg2vh4e5mlc+OHPQ8PIqiQ9ejLPbv7ledLKmTOtK82BIChiTgzLphSCDilBAQAm8kIAvokhxCwMUJaLopWNMb9s+BKl9D9YGaSX04czf7L91neEMvWlfMpVmf0RWERkTRaNougm88pmqBDJad6G5u8rWv0edN/ANNdUMAuiwBI+VF89mB7Llwj2ENvPjUx3jXk1FrTjJnx0Wal8vOmKbFXTYnJDAXJbCqKxxeCNUGQtWvNQVppLqhKRAR1p2AptzY/T1sGAjFPoSmc3X37d8Kn4ZFUn7UJp6GR7GsQwW886Szi71ztx5Tc9J2EiV0I2hwLTwTJbSLHVEqBBxCIOI5jMr0wlSfC5BM+383mmqGQ4IWIwqBZcuW0apVK5RFdF9fX2bNmsXcuXM5efIkOXK8evxFeHi4ZVzGjBkZMGAA2bJl4+rVq6RIkYISJaz7YMmZuTFtyznGrz9N7SLvMLt1WcMmQb2pOzgV8oiZn5SmbtHMhvVTHBMCjiLgzLrhqBjFjhAQAvoQkAV0fTiKFiFgWAKabgo2j4Lt46Dc5/DuBE0x3n0SRrlRm4iOIV599Xrm5mPe/24nYZHR0pJRUwaJsCMJaKobjnRUbDmUgFHy4nFoBKWGbyQyOoZtffzImc54Z8UGnLrJZwsOkCudJ1v7VHPoPIkxIaCZwM9N4dwmaDgNSn2iSZ1R6oamIETYLgQ05cbhRbCqM+SrCZ/8Zhf/YpX+evAavZcfsZxLvrlXVbu1vlXOWa80dgt/P3jOD5+WpUbhd+walygXAnYlcCsYpntD4pTQ7wro0DJaU82wa7Ci/N8EvL29KV26NDNmzHj5rwsXLkyjRo3w9/d/BdbMmTMtu9WDg4Px8FB3xJ8zc6PZrED2XrzHiEZFaVUhp2GTod9vR1m6/ypf+OWlb91ChvVTHBMCjiLgzLrhqBjFjhAQAvoQkAV0fTiKFiFgWAKabgoCp8P6/lD0A/jgB00xLj9wlT6/HsUrS0rWdH9z+y5NRgwq/FPgJQavOkEidzdWdfWlcOaUBvVU3BICLwhoqhsC0WUJ2JwXR5bB3pmQvxZUG6Abl3XHb9Dp54OWxYwtvf1006unokehEZQctsHy0Vhg/+pkTiWtEvXkK7rsTGB6Rbh1ElqthLzVNRmzuW5osibCZiKgKTeC/4KlH0PWMvD5ZruG3X3JYf44cp3u1fPRs3ZBu9oa9Psxft5zhU8q5GBko2J2tSXKhYBdCZxeC0uaQ+YS0HG7LqY01QxdPBAlcRFQdpN7enqyfPlyGjdu/HJ4jx49CAoKYtu2ba+oUNq0p02b1iK3atUqMmTIQIsWLejbty/u7u5xmXTqs+uTsEhKDd9ARJRxP+qNBbh47xUGrDyGb750LGpfwSquMkgIuDIBuaa48uxKbEJAXwKygK4vT9EmBAxHQNNNQdAS+L0T5K0BrVZoiq3jwgOsP3GTL2vm58uaBTTpMpuwsqOk/YIDBATfIn/G5PzZrRJJPKx7GDRbrOKvaxDQVDdcA4FE8RoCNufF3lmw9mso0gg+WqAb0/4rjrJk31Xa+ORiaAMv3fTqrajB9zs5eu0hk5uVoHGpbHqrF31CwH4ExuSA0IfQeS9k1LZLyea6Yb+oRLPBCGjKjcuBMK8upM0D3Q/bLTLlHr7cqADuPAljaYcKVLBT+/bYAGK7l2RLk5QdX1ez2253uwETxUIglkDgNFg/ALwaw4fzdeGiqWbo4oEoiYvA9evXyZo1K7t27cLHx+fl8NGjR7NgwQJOnz79iopChQpx6dIlWrZsSefOnTl79ixdunRBWXQfPHjwa02GhYWh/BP7U3Ije/bsPHz4kJQpHbdZIbZm50jryfavjd1x6vjfD3nvu52kSJKQI4Nry9GCcSWz/N3lCcg1xeWnWAIUAroRkAV03VCKIiFgTAKabgpOr4MlzSBLaeiwRXWAylngSrvd5xFRrO5WiaJZU6nWZVZBpYV93ak7uP04jNYVczK8YVGzhiJ+xwMCmupGPOATX0O0OS+OLocV7SFXZWizWhdsymKGz5jNhDwMZX7bcvgVzKiLXnso8f/rFLO2X+CjstkY94F1Zzjaww/RKQRsIhD+FEZneSHS7yok0fYi2ua6YZOzMtjMBDTlxu3TMK08JE0DfS/ZDUPsueSJE7pxdGhtEie07wewz8IjKTl8I+GR0WzqWYV8GVPYLTZRLATsSmBNL9g/Fyr1hJpDdDGlqWbo4oEoiYtA7AL67t27qVix4svho0aNYuHChZY27f/9FShQgNDQUC5evPhyx/mkSZMsbd1DQkJea3Lo0KEMGzbslb85egF96B8nmL/7Ei29czCqsbG7hkRERVN0yHrL0YLKcSR5MiSPazrl70LApQnINcWlp1eCEwK6EpAFdF1xijIhYDwCmm4KruyFH2tDmtzQI0h1cLFf5mZJlYRd/arH290U28/cpvWP+ywc57YuS80icrah6qQSQbsS0FQ37OqZKHcmAZvz4lwA/NwE3ikKX+zSxfXTNx5TZ8p2lMWMI0NqG7qbx5bgW7Sdvx8z7ErRZXJEiWsQuHMOvi8DiVLAgGuaY7K5bmi2KArMQkBTbjy5BRPyAwlg8F1ws8/CduwxTI5seas8KyjPDAPrF+bzKnnMMp3ipxD4/wQWNoHzAdDgeyjdShc6mmqGLh6IkrgIqGnhXrVqVcvZ55s2bXqpfu3atSit3ZVd5okSJXrFrFF2oFefuJULt58y85My1C2aKS48Tv974+m7OHzlAVOalaRRqaxO90ccEALOJCDXFGfSF9tCwFwEZAHdXPMl3goBmwlouim4fQamlYMkqaHfZZttxwrEttuVndcwYvVJfth5kbTJErGuR2UypkyimqsICgF7EdBUN+zllOh1OgGb8+L6YZjtBykyQ69Xd5yoCWjWtvP4rw3Gr2AG5rctr0aFw2SUcxFLDNtAVHSM5eOxrKnlHHSHwRdD6glc2AY/NYD0BaDrfvV6/pG0uW5otigKzEJAU25EhsPIDC9C/foieKa1S9hf/HyQtcdv0Lt2AbpWVxbs7f/7cedFhq8+iU/edCz+XM6ptT9xsWAXAlNLwv2L0GYN5KqkiwlNNUMXD0SJNQS8vb0pU6YM06dPfzm8SJEiNGzYEH9//1dUDBgwgMWLF3PhwgXc3Nwsf586dSpjx45F2dFuzc8ZufH3g+f4jtmMu1sCDn1Ti1RJPaxx1aljYnfMt/XNxZD3jXsMllMhifF4Q8AZdSPewJVAhYCLEZAFdBebUAlHCPyXgKabgie3YUI+Tbs7oqNj8PYPsLQuX/hZeSrn/+dlVzydqrDIKBpN282pkEdUzp+eBW3Ly/lT8TQXjBy2prph5MDEN00EbM6L+5dhanFwTwyDbkKCBJrsK8Ifz95D4IW7DH2/CG18c2vWZ28FjabtIujqAyZ8WIIPysg56PbmLfp1IBC0BH7vBHn8oPUqzQptrhuaLYoCsxDQnBujs0L4E+h2CNLl1T1s5Rmm9MiNPHgWwW9f+FAmZxrdbbxO4cU7T6k2YSse7gk4PLg2yRMndIhdMSIEdCMQFQGjMkF0JPQ8BSn/ORZEowHNNUOjfRG3jsCyZcto1aoVM2fOtLRxnz17NnPmzOHEiRPkzJmT1q1bW85Jj11Mv3r1KsoCe5s2bejWrZvlDPR27drRvXt3Bg4caJVRZ+TG+hM36LjwIF5ZUrKme2Wr/HT2oBWHrtHzlyOW65lyXZOfEIjPBJxRN+Izb4ldCJiZgCygm3n2xHchYAUBTTcFysPviPQvrKjc3XH4yn0aT99NisQJOfhNLRIlfPFVcXz+KecpvvfdTkIjohn0bmHaV5b2jPE5H4wYu6a6YcSAxCddCNicF2FPwP+f9oADrkOiZJr8eBwaQekRG4mIimFrbz9ypdemT5MzVgqPWRvMzG3nLYvnyiK6/ISA4QnsmAgBw6FkS2j0v91jav22bspylgAAIABJREFUuW6oNSRypiOgOTcmF4WHV6H9ZshWRvf4T15/RP1vd+CZyN1yZIiHu+OeYfzGb+HS3WfMalWGOl7GbwusO3xRaG4C9y7At6UgYRIYEAL/7CrWGpTmmqHVAZG3moCy+3zcuHGWM8yLFi3K5MmTqVKlikXez8+PXLlyMX/+/Jf6AgMD+eqrrwgKCrIsrn/22Wf07dv35ZnocRl2Rm7EdsV6v0QWvvu4VFwuGuLv5249oeakbSTxcOP40DokdOB1zRAAxAkh8C8CzqgbMgFCQAiYk4AsoJtz3sRrIWA1Ac03BaOzQfhj1bs7xq0LZvrW87xXPDPftyhttd+uPvDnPZcZ9PtxErm7sbKLD15ZUrl6yBKfiQhorhsmilVctZ6AzXkREwMjM0JUOHx5DFLnsN7Ya0auO36DTj8fJFc6T7b2qaZJl6OEt525zac/7rO0b1fauMtPCBiewJpesH8uVOkD1QdpdtfmuqHZoigwCwHNuTGzMtw4Ci1/hfy1dA977o4LjFxziqoFMrCgnWOPDIlts/tx+ez4Nymue2yiUAjYlcC5APi5CWQoDF326GZKc83QzRNRZDQCzsiN2GMKu1fPR8/aBY2G5LX+KJ1VlOOlHodF8lf3yhTJktIUfouTQsAeBJxRN+wRh+gUAkLA/gRkAd3+jMWCEHAqAc03BZOLwcMrqnd31J68jTM3nzC1eUkalvxnJ6JTiRjDeExMDB0WHmTjyZvkzZCM37v4kiKJ8c/NMgY98cLeBDTXDXs7KPqdQkBVXkwsBI9DoMM2yFJSk9+xL6ra+ORiaANznNv39J9z0COjY9jxdTWyp/XUxECEhYDdCSz5GE7/Be9OgnKfaTanqm5otioKzEBAc24saAAXt0GTOVD8I91Dbr9gP5tO3aJ/vUJ0rKp/i/i3Obz19C3azNtPppRJCOxfnQQ6HIGiOyBRKATeRGDfHPirNxR8Fz5erBsnzTVDN09EkdEIOCM3ms8OZM+Fe0z6qARNSpvnmKbY47DGNClG8/LaPm42Wh6IP0LAFgLOqBu2+CdjhYAQMA4BWUA3zlyIJ0LALgQ03xS83N3xG+SvaZOPl+8+per4rSR0S8DBQbVI5SkLxP8GeO9pOPWmbufmozAq5EnL/LblSeLhbhNjGSwE7EFAc92wh1Oi0+kEVOXFdB+4dQI+WQH5aqiOQfnoyGfMZkIehjKvbTmqFcyoWpejBZtM38WhKw8Y90FxPiqb3dHmxZ4QsI3ArCoQcgQ+XgYF69om+5rRquqGZquiwAwENOfGL5/Cyd+h3jjw7qhryJFR0ZQavtGyS++Prr4Uz5ZaV/1xKQuNiKLk8A2W457W9qhM4cyySzAuZvJ3AxFYNwD2TIOKXaHOKN0c01wzdPNEFBmNgDNyo6J/gOW5RDlLXDlT3Cw//7WnmLXtAh+Xz4F/k2JmcVv8FAK6E3BG3dA9CFEoBISAQwjIArpDMIsRIeA8AppvCl7u7pgLxT+0KZDY1oc+edOx+PMKNsnGl8HH/35I89l7eBIWSa0i7zCjZWk5iyq+TL6B49RcNwwcm7imnoCqvJj/HlzaAU1/gGIfqDZ++sZj6kzZTuKEbpazaM30sVHsUSZNSmdl0kfaduGrBiiCQsBaAuPzw9Nb0HEHZNbeOlpV3bDWVxlnagKac+PPL+HgPPDrD379dGVx5OoDGk7bRYokCQkaXBt3twS66rdGWbv5+9kcfIu+dQvxhZ9jd8Bb45+MEQJvJPCyk8lEKNdeN1Caa4ZunogioxFwdG48D4+i8OB1FgyHvqlF2mSJjIbkjf78dSyEzosO4ZUlJWu6VzaN3+KoENCbgKPrht7+iz4hIAQcR0AW0B3HWiwJAacQ0HxT8HJ3x3jw7mBTDM1mBbL34j2GvF+Etr65bZKNT4P3XLhL6x/3ER4ZzQdlsjGuaXHcnPCiLj4xl1jfTkBz3RDALklAVV780hpOrtK8Q3DWtvP4rw3Gr2AGS7cOM/12nL1Nqx/2kSVVEss56NKK10yzF898jQyHkRleBN3nAiRLpxmAqrqh2aooMAMBzbkRMBx2TATvTlBvrK4hz9h6nrHrgqlZ+B3mflpWV93WKlsYeIlvVp2gfO60/NKxorViMk4IOJ/ANG+4Hay5+9B/A9FcM5xPRjywEwFH50bwjUfUnbKDlEkSWj7sNdO9/bX7z6g0doulS+TxYXVM9VGyndJH1MZTAo6uG/EUs4QtBFyCgCygu8Q0ShBC4M0ENN8UvNzdMQD8+lqN+v7TcMqO2kSUnPtqFTPlLPROPx+08GpfKTcD3y1sqgcxq4KUQaYhoLlumCZScdQWAqryIvYaUrUfVOtvi7n/Nzb2vL6h7xehjck+yHoWHkmJYRuIiIphWx8/cqZLppqDCAoBuxK4fxmmFgf3xDDoJuhw7rKqumHXIEW5UQhozo3d38GGQVDsI2g6R9ewlA9bt5+5zeD3itCuknM+Ar567xmVx22x7H5XdjimSipHYek6yaLMPgSio2F0ZogMhe5BkFa//3401wz7RCxaDUDA0bmx7ngInX4+RIlsqVjVtZIBCFjvgnIsVtmRm7j7NJwVnX0oncM87eetj1JGCoG4CTi6bsTtkYwQAkLAqARkAd2oMyN+CQGdCGi+Kdg0DHZOAu8voN4Yq71acegaPX85QqFMKVj3ZRWr5eLzwN8OXqPX8iMWBH3qFKRLtXzxGYfE7kQCmuuGE30X0/YjoCovAkbAjglQvgPUH6/KOeWIi1LDXyxAb+3tR6705luA/mDGbg5cvs/YpsVoVi6HKg4iJATsTuByIMyrC2lyQY8X9yNaf6rqhlajIm8KAppz4/DPsKoL5KsFn/yqW8xKRyjl/PFn4VFOP3+86vgtXL77jJ8/86ZS/vS6xSiKhIDdCDz8GyYXAbeEMPAmuCfUzZTmmqGbJ6LIaAQcnRuxXUoalszC1OaljIYjTn/aztvHltO3MeOHyXEGJwOEgJUEHF03rHRLhgkBIWBAArKAbsBJEZeEgJ4ENN8U7PoWNn4DxZtDk1lWu9Z50UH+OnaDbtXz0at2Qavl4vvA2HPjFQ6jGxejhbcstMT3nHBG/JrrhjOcFpt2J6AqLwKnwfoBULQpfPCjKh/Xn7hBx4UHyZXOk619qqnS4WyhiRtO893mczQqmYUpJnzR5mx+Yt9BBI7/Br+2g5y+0PYvXYyqqhu6WBYlRiegOTeC18DSFpC1LHweoFu4By7d44OZgZYzbQ8MrOnUY5Viu69MbV6ShiWz6hajKBICdiNwaSfMfxfS5oHuh3U1o7lm6OqNKDMSAUfnRr/fjrJ0/1W618hPz1oFjITCKl8mbzzD1ICzNCmVlUnNSlolI4OEgKsRcHTdcDV+Eo8QiE8EZAE9Ps22xBovCWi+KTi0EP7oCvnrQMtfrGIYFhlF6eEbeRoexR9dfSmeLbVVcjLoBYEJ60/z/ZZzls6p339cmneLZxY0QsChBDTXDYd6K8YcRUBVXhxZCis7Qp5q0Pp3Va72X3GMJfuu0MYnF0MbeKnS4WyhXefu0HLuXjKlTEJgfzkH3dnzIfbfQOBlS+wPoelcXTCpqhu6WBYlRiegOTcu74Z59SBtXuh+SLdwvws4y8SNZ6hfLBPTW5bRTa8aRV0XH2L10RCntpJX47fIxGMCh36CP7pBvprwyW+6gtBcM3T1RpQZiYCjc6PZrED2XrzH5GYlaFwqm5FQWOXL5uCbtJt/gLwZkhHQy88qGRkkBFyNgKPrhqvxk3iEQHwiIAvo8Wm2JdZ4SUDzTcGp1bCsJWQrD+03WsVw6+lbtJm3n3dSJiawXw2n7tywymGDDVLOpRr4+3EW772Ch3sCfvi0HFUKZDCYl+KOKxPQXDdcGU48jk1VXpzZAIs/hEzFodMOm+kp9dB3zGauPwxlXttyVCuY0WYdRhB4Hh5lOQc9PCqaLb39yG3CNvRG4Cg+2JnAuv6wZzr4dIfaI3Qxpqpu6GJZlBidgObcuBUM070haRroe0m3cGN3fY9oVJRWFXLqpleNoiGrjrMg8DJdquWlT51CalSIjBBwLIFNQ2HnZCj3Obw7QVfbmmuGrt6IMiMRcHRueI/exM1HYazs7EMpE54hfudJmOUcdGXDxtEhtUmRxMNI0ym+CAHbCYQ+BA9PcLc+lx1dN2wPSiSEgBAwCgFZQDfKTIgfQsBOBDTfFFzaBfPrQ7r80O2AVV4OXHmMRXuv0NI7B6MaF7NKRgb9fwJR0TF0X3qYNUdDSOrhzqLPvSltwoczmVdzEtBcN8wZtngdBwFVeXHtIMytDqmyw1fHbWZ85uZjak/eTuKEbhwZUpskHu426zCKwEczA9l36R7+TYrxcXk5nsMo8yJ+/IvAL5/Cyd+h7lio0EkXNKrqhi6WRYnRCWjOjcc3YaLSOjcBDL4Hbm6aQw6NiKK48rFTZDSbelYlX8bkmnVqUfBtwFkmbTzDx+Wz49+kuBZVIisEHEMg9jpSxx8qdtbVpuaaoas3osxIBByZG8/CIykyeL0l/KDBtUjtmchIKKz2RflA+e8Hz1n8uTc+edNbLScDhYAhCWz4Bg4vhJpDoUwbq1x0ZN2wyiEZJASEgGEJyAK6YadGHHNVAtOnT2f8+PGEhITg5eXFlClTqFy58hvDffDgAQMHDmTFihXcv3+f3LlzM3HiROrXr28VIs03BTdPwoyK4Jkevj4fp01lt2AF/wDLF7lm3i0YZ6AOGKC8vPtswX52nL1DqqQeLO9UkQLvpHCAZTER3wlorhvxHaCLxq8qL+5dgG9LvfgifGCIzWRmbz/P6L+CqVogAwvalbdZ3kgCyiKIshjSoEQWvv24lJFcE1+EwAsCc2vBtX3w0UIo0kAXKqrqhi6WRYmtBEz3jBIZBiP/6Uqi7EBXdqJr/O0+f4cWc/aSMUVi9g6oQQJle54Tf4v2XmbgyuPUKvIOc1qXdaInYloIWElgZmW4cRQ+XgoF61kpZN0wuZ5Yxyk+jnJkbpy8/oj63+4gtacHQYNrmxb3Fz8fZO3xG/SrV4hOVfOaNg5xXAgQHQ1TisGjazY9wziybsgsCQEhYG4CsoBu7vkT701GYNmyZbRq1QrlBZWvry+zZs1i7ty5nDx5khw5Xt2NFh4ebhmXMWNGBgwYQLZs2bh69SopUqSgRIkSVkWv+abgUQhMKgQJ3GHwXSx9nt7yO3rtAQ2+30WyRO4cGlyLxAnNu1vQKsB2HqR84aycm3v4ygNLS/xfO/mQPa2nna2K+vhOQHPdiO8AXTR+VXnx/AGM/acF7sCb4JHEJjqxrXSHvF+Etr65bZI12uDA83f5eM4eMqRIzD4DLMwYjY/4YwACk7xevHxqHwDZ9FmsU1U3DIAivrlgymcUZZJGZYGIp9D9MKTNo3naJm04zbebz9GwZBamNnf+h07rjofQ6edDlMmZht++8NEcnygQAnYlEBMDY3JA2CPosg8yFNTVnFxPdMXpUsocmRtrj4XwxaJDlMiemlVdfE3LccbW84xdF0z9YpmY3rKMaeMQx4UAlwNhXl1InBJ6n7X6fYM1dSM6Ohrlvbz8zE3Aw8MDd3dZmzD3LDrXe1lAdy5/sR7PCHh7e1O6dGlmzJjxMvLChQvTqFEj/P39X6Exc+ZMy2714OBglIKv5mfNTcFb9UY8h1GZXgzpdxWSpHzr8NgXT/WKZmLGJ3IjrmbO/ivz4Fk4H80K5MzNJ+RK58nyTj6WBRj5CQF7EdBcN+zlmOh1KgFVeaG8TB2eDmKioOcpSJnF6hiehEVSavgGIqJiXOLc8H+3Bg7oVZW8GZzbGtjqiZCB8YNAdBSMyKDqv9W3AVJVN+IHcUNFacpnFIXg5KLw8Cp8vhmyan/u+GDGbg5cvs/YpsVoVs75R23sv3SPD2cGWu7/t/apZqicEWeEwCsEnt6B8cpO1gQw8IbVixjWkpTribWk4t84R+bG9K3nGLfuNI1KZmGKAT60Ujvbu8/docXcvWRNnZRd/aqrVSNyQsD5BNb0gv1zoUQLaPy/d+1xORZX3VAWzi9evIiyiC4/8xNInTo1mTJlcnp3KfOTjJ8RyAJ6/Jx3idoJBJSLr6enJ8uXL6dx48YvPejRowdBQUFs27btFa+UNu1p06a1yK1atYoMGTLQokUL+vbta/XXU3HdFFiFYmQmiHwOPY5Cmn92Er5BsO6U7QTfeMykj0rQpHQ2q9TLoLgJ3HgYygczd3Pt/nOKZE7J0o4VSJlE3UcVcVuTEfGdgC51I75DdMH4VefF+Hzw9DZ02gmZillNZv2JG3RceJCc6TzZ5iILB81nB7Lnwj1GNirKJxXefj21GpQMFAJ6EHh8AyYWfNFx6Jvb4KbPV/qq64YeMYkOqwg46hklLCwM5Z/Yn5Ib2bNn5+HDh6RM+fYPdN8YyMxKcOMYtPwN8te0Kt43DVK6PhUfuoHI6Bi296lGjnTO7/h0/vYTakzcRorECTk2rI6m+ERYCNidwNV98EMtSJkNep7Q3ZxcT3RH6jIKHZkbX/96hF8OXOPLmvn5smYB0zJ8FBphueYpv4ODapIuuWzQMO1kxmfHoyJfPL88uwOf/Ab5rL8XfFvdUI4mvXLlChEREWTJkgU3N7f4TNnUsStz+ezZM27duoWyiJ45c2ZTxyPOO4eALKA7h7tYjYcErl+/TtasWdm1axc+Pv9rwTd69GgWLFjA6dOnX6FSqFAhLl26RMuWLencuTNnz56lS5cuKIvugwcPfi1Fu7ycmlgYHl+HDtsgS8k3zt7Ve8+oPG4L7m4JODCwJmmSJYqHM22/kC/eecqHM3dz50k45XOl5afPypPEQ58X3PbzWjSbkYAjX0KYkU989Vl1XkzzhtvB0PoPyFPVanz9Vxxjyb4rfFoxJ8MaFrVazsgDp2w6w5RNZ3mveGa+b1HayK6Kb/GNwN8HYU51SJkVep7ULXrVdUM3D0RRXAQc9YwydOhQhg0b9oo7mhbQF7wPF7dDk7lQ/MO4Qn3r37educ2nP+6z7Mbb2beaIXaoPHwWQYnhLxY4To+sK0djaZphEbY7gSPLYGUHyFUZ2qzW3ZxcT3RH6jIKHZkbH80MZN+le0xtXpKGJbOammH1iVu5cPsp89qUo1qhjKaORZyPpwTOBcDPTcAzPfQ6De4JrQbxtrqhLJyfO3fOsnieKlUqq3XKQOMSuHv3rmURvUCBAlZvSDRuNOKZownIArqjiYu9eEsg9uXU7t27qVix4ksOo0aNYuHChZY27f/9KYU9NDTU0jYm9ryOSZMmWdq6h4SEvJalXV5OTfeBWyeg1e+Q983tAxfuucw3vx/HO3dalnX8X4zxdtLtEPiJ6w9pPmsPj8MiqVEoIzNblcHDXb6GtAPqeK3SkS8h4jVokwWvOi9+rAdXdsMH86BoE6uiVr4U9h2zmesPQ5nXthzVCrrGS529F+7SbPYe0idPzP6BNQyxQGPVhMgg1ydw6k9Y9glkLQufB+gWr+q6oZsHoiguAo56RrHLR76/tIaTq6DeePDuEFeob/37mLXBzNx2ng/KZGPChyU06dJLWLkW5h+41rIrPrB/dTKnSqqXatEjBPQnsMUfto2B0q2hwXe665frie5IXUahI3Oj/KhN3HocZjn/XDkH3cy/r5YFsfLw37rupleuW2suriFnipwUy2B95zEzcxTfnUjg984QtAjKtYd3J9rkyNvqRux7+Fy5cpE0qdx72QTWoIOfP39u2aCYO3dukiRJYlAvxS2jEpAFdKPOjPjlcgTUtEesWrWq5ezzTZs2veSxdu1alNbuykuoRIle3eFtl5dT896FyzvjXPyIffHUzjc3g98v4nJzaJSA9l28R6sf9hIWGU3jUlmZ+GEJ3NwSGMU98cMFCDjyJYQL4Io3IajOi6UtIXj1i4da5eHWit+1+8+oNHYLidzdODq0tst02wiLjLK0S1Tq96aeVciXMYUVNGSIEHAAgb2zYO3XULgBNFuom0HVdUM3D0RRXAQc9YzyXz90yY0/e8DB+eA3APz6xhXqW//e8PudHLn20HDHUMUu1qzuVomiWWUXlKZJFmH7EljRAY4ug5pDodJXutvSpWbo7pUoNAIBR+XG07BIvIast4R8ZHBtUnma+0i9ebsuMuzPk1QvlJEf25TTZSpP3D1B89XNcUvgRucSnfm8+OeW/y8/IaA7gYhQmJAfwh5B27WQ83+dXq2xZc0Cuiy2WkPSHGNiP4qQOTXHfBnNS1lAN9qMiD8uTcDb25syZcowffr0l3EWKVKEhg0b4u/v/0rsAwYMYPHixVy4cOHlmStTp05l7NixKLtFrPnp8jDxcvFjEpT77I1m+/56lGUHrtK7dgG6Vs9vjXsyRiWBgFM36bDwIFHRMZYd/8MaelEok8rzI1X6IGKuS0CXuuG6eOJtZKrz4o9ucOgnqDYIqvaxip/yodBHswLJlc6TrS5y/nls4C3m7GH3+buMaOhFq4q5rOIhg4SA3QlsHAK7poD3F1BvjG7mVNcN3TwQRdYQMO0zyqZhsHOS5rxVzoItOWwD0TEYbqd33SnbCb7xmAXtylO1QAZrplPGCAHnEJhbE67th49+giINdfdBrie6I3UZhY7KDaUb4Lvf7iSNpweHB9c2Pb+Dl+/TdMZu0idPxP6BNXXpjLXy7EoG7/7fcZO+WXzxr+xPmiRpTM9LAjAYgdjuWcrxU18eBxvPKZcFdIPNp53dkQV0OwN2cfWygO7iEyzhGYvAsmXLaNWqFTNnzrS0cZ89ezZz5szhxIkT5MyZk9atW1vOSY9dTL969SrKAnubNm3o1q2b5Qz0du3a0b17dwYOHGhVcLo8TKzqCocXQvVvoErvN9rt8NMBNpy8yajGRWnpndMq/2SQegKrgv6m729HCY2Itpw736pCTr6qVYBUSc39JbR6IiKpFwFd6oZezogewxBQnRcqFub+OHKd7ksOu+SRIN8GnGXSxjO8Wywz01rKOeiGSfD47shvn8OxX6DWCPDtrhsN1XVDNw9EkTUETPuMsutb2PgNFG8GTWZbE+prx2w6eZP2Px0gd/pkbOntp1qPPQQ/mbuXnefuMLlZCRqXymYPE6JTCOhDYFxeeHYHOu6AzMX10fkvLXI90R2pyyh0VG6sORpCl8WHKJUjNSs7+5qeX2hEFEWHrLccE7KrX3Wyptbeqnrywcn8ePxHCqUtxKWHlwiNCiWjZ0YmVJ1AqYylTM9MAjAQgV8+hZO/g083qD3SZsdkAd1mZKYWkAV0U0+f052XBXSnT4E4EN8IKLvPx40bZznDvGjRokyePJkqVapYMPj5+aGcsTJ//vyXWAIDA/nqq68ICgqyLK5/9tln9O3b9+WZ6HHx0+VhYsM3sPtbqNgV6ox6o8kPZ+5m/6X7TG9ZmvrFMsflmvxdBwJKm+NRa06x9vgNi7Z0yRLRt24hy/mN0tZdB8DxVIUudSOesnPlsFXnhYoFjjnbLzDqr1M0LJmFqc1d62XL/kv3+HBmoKVeHxikz24PV847ic1BBGKP62n6AxT7QDejquuGbh6IImsJmPIZ5dBC+KMr5K8NLZdbG+or40asPskPOy/ycfkc+Dcx1pmtysdkykdlg94tTPvKeVTHKIJCwK4EQh/CmBwvTPS/Bon1P6JGrid2nUFTK3dUbkzbco7x60/TpFRWJjUraWpmsc7Xn7qDkyGPmNGyNPV0eIfXY3MPNl/dTL/y/SiXqRy9tvbi0qNLuCdw58vSX/Kp16e67HR3CfgShHoCYY9hfD6IDIUO2yCL7f89ygK6evxmlJQFdDPOmnF8lgV048yFeCIE7EJAl4eJHZMgYBiU/AQaTXujnzUmbuX87acs+bwCFfOms0s8ovT1BHaevcOQP45b+Cu/EtlTM7yBl+V/5ScEbCWgS92w1aiMV0VAWfAYP3685aMsLy8vpkyZQuXKld+o68GDB5YOJitWrOD+/fsoZ0BNnDiR+vXrx2lfdV4c/hlWdYF8NeGT3+K0owwY/udJftx1kY5V8tC/fmGrZMwyKDwymuLD1lu6h6z/sgoFM+n/ktksLMRPAxGYWhLuX1R1huDbolBdNwyERlyxDwFdcuPUaljWErKVg/abVDtab+oOToU84ruPS/F+iSyq9dhDcNifJ5i36xJf+OW1fCQrPyFgSALXg2B2VUiWAfqcs4uLutQMu3gmSp1NwFG50Wf5EZYfvEbPWgXoXsM1jizsv+IoS/ZdpVPVvPSrp/0a0/D3hlx4eIFZNWfhk9WHpxFPGRY4jLUX11rSxC+7HyN9R5IqcSpnp43YNzOBI8tgZQdIlw+6HoAECWyORhbQbUZmagFZQDf19DndeVlAd/oUiANCwL4EdHmYODAPVn8JBd+Fjxe/0eEyIzZy92m4LAjYd0rfqF1ZlFmw+xJTA87yJCzScg/ZrGx2+tQpSLrkiZ3klZg1IwFd6oYZAzeZz7Etd5VFdF9fX2bNmsXcuXM5efIkOXL8swvoXzGFh4dbxmXMmJEBAwaQLVs2lKNCUqRIQYkSJeKMXnVenF4LS5pDltLQYUucdpQBXRYdYs2xEIa8X4S2vrmtkjHToNiWvMMaePGpj5yDbqa5c0lfY2JgVKYXuzh6HIE0+uWk6rrhkqAlqH8T0CU3Lu+GefVevEDtdlAV4PtPwyk1YqNFVjkDNkMKY90zx+54/KhsNsZ9EPe1WhUEERICWgmcWAnL20B2b/hsg1Ztr5XXpWbYxTNR6mwCjsqN2I6LU5uXpGHJrM4OWxf7S/Zdof+KY/jkTcfizyto0hkZHUm5ReVQ/nd90/VkSf7ig7SYmBiWn1nOmH1jiIiOIGvyrEysOhGv9F6a7IlwPCaw6EM4uwGq9oNq/VWBcMUF9EuXLlk2SPz3V7VqVbZu3aqKk6sIyQK6q8ykc+KQBXTncBerQsBhBHR5mDjxOyz/FHL4QLsXX47+9xcdHUO+gX/eGhQjAAAgAElEQVQRHQP7BtQgY8okDotRDP1/ArcehTJmXTArDv1t+UPKJAnpVbsgLb1zkNDdTXAJgTgJ6FI34rQiA7QS8Pb2pnTp0syYMeOlqsKFC9OoUSP8/f1fUT9z5kzLbvXg4GA8PDxsNq86L67shR9rQ+qc8OVRq+w2nbGbg5fv69ZO0CqjDhwUuyBS1ysTM1uVcaBlMSUEXkPg2T0Y98/LlkG3IKF+C4iq64ZMlMsT0CU3bp2C6RUgaVroe1EVs7XHQvhi0SHyZ0zOxp5VVemwp1Ds4kaNQhn5oU05e5oS3UJAPYEdEyFgOBRvDk1mqdfzFkldaoZdPBOlzibgqNwoO3ITd56E8UdXX4pnc41OfyeuP+Tdb3eSInFCjgyprekYwKuPrlJ/ZX0SuydmX8t9uCX4/++eTt49aWnpfu3JNTzcPOhTrg/NCzaXlu7O/g/IbPaV55YJ+SE68sXu8/TqukHYsoCufATyPCLKKaSSerhb/d9IVFQUt2/ffunnjRs3qFmzJp07d2b48OFO8d8oRmUB3SgzYU4/ZAHdnPMmXgsBqwno8jBxYRv81AAyFIYue15r+8GzcEoOf7F748zIeiRKKAu1Vk+SnQYeuHSPwatOWM60Un6FMqVA2e3onUfa69sJucuo1aVuuAwNYwai7Cb39PRk+fLlNG7c+KWTPXr0ICgoiG3btr3iuNKmPW3atBa5VatWkSFDBlq0aEHfvn1xd3ePM1DVeXHnLHxfFhKnhP5X47SjDPAds5m/HzxnRWcfSudIY5WMmQYdvHyPpjMCSePpwcFBtTS9rDJT3OKrQQncOAYzK4Fnevj6vK5Oqq4bunohyoxIQJfceHwDJhYE5SX9N3fBzfbnj8GrjvNT4GU+rZiTYQ2LGg7VhhM36LDwICWzp+b3Lr6G808cEgIWAqu6wuGF4DcA/PraBYouNcMunolSZxNwRG48Do2g2NAX3RWODq1NyiS2f4zsbE6vsx8RFU3RIesJi4wmoFdV8mZIrtrN7de20yWgC/nT5GdFgxWv1fMo/BGDdw0m4EqA5e91ctVhaMWhJE+k3q5qh0XQnAQO/Airv4JMxaHTDtUx2LKA/iw8kiKD16u2pUXw5PA6eCZKaLMKZcHYz8/P8s5HeffjpuIe2WajBhaQBXQDT44JXJMFdBNMkrgoBLQQ0OVhIuQozKoMyTNB79OvdefinadUm7DV8uXqsWF1tLgssjoSiIqOQdm5MmHDaR48i7BoblAiCwPqFyZTKukSoCNql1KlS91wKSLGC+b69etkzZqVXbt24ePj89LB0aNHs2DBAk6ffrVWFypUCKWtV8uWLS1fIZ89e5YuXbqgLLoPHjz4lSDDwsJQ/on9KXmRPXt2Hj58SMqUKa2H8u/drd/cAfe3v3BSOpoUGLSWyOgYdverTpbUSa23ZZKRysuq4kM3WL5kX9ujMoUz28DTJDGKmyYicGYDLP5Q84uo10Us1xMT5YGDXdUlNyJCYdQ7LzzvexmS2r4jsOakbZy79YSZn5SmbtHMDqYQt7nYD66yp03Kjq+rxy0gI4SAMwjMexcu74Qmc6H4h3bxQJeaYRfPRKmzCTgiN47//ZD3vttJumSJOPhNLWeHrKv9JtN3cejKAyY3K0HjUtlU6/7pxE+MPzCeWjlrMclv0hv1KLt5fz71M5MOTCIyJpKcKXNaWroXTFtQtW0RjEcEYq83tYaDbw/Vgbv6ArryzkfZWLFnzx7LkX3x/ScL6PE9A7TFLwvo2viJtBAwPAFdHiYeXIUpRcE9MQy6ieVw7f/8lFa7SstdebljzJRQzndUFtEX77uCctSpZyJ3ulXPz2eVcku3AGNOmVO90qVuODUC1zceu4C+e/duKlas+DLgUaNGsXDhQkub9v/+ChQoQOyDQ+yO80mTJlnauoeEhLwyfujQoQwbNuyVf2/zAnp0FAxXOl/EQK8zkOKfxY43TNPtx2GUG7UJtwRwemQ9PFz06IlWP+xlx9k7LnvOu+v/V+hCER6YB6u/hAL1oMVSXQOT64muOF1KmW65MSozRDyD7kGQ9tVzH98G7dbjUMqPCrA82hwaVIs0yRIZjvGlO0/xm7CV/2PvLMCqyrY4/rNb7O5GUVFUMFCxc+wW25mx27FHxdaxxe54IvYgtpgYGGBiB3ZjIUi871wEZQC53HvOzX2+j+/5hr3X+q//2ux99ll7r5UqaSKuTaxncPgEIMGAioF/LOHjU+hxGHKVU4QU2eYMRdAJofpkQBdjw+3yU/puukTZPOnY3tu0soGM332NNZ4P6FIpH+N/07wu+cTTE1W1znuW7En/sv3jHBI+r3wYemwozz8/V6V9H2U7imaFmqmdrjpOBaKB6THw4SnMLh7+XWHgVUiXW2Mb4xNAN5YU7hFkTJo0iTlz5nDu3DkKFiyoMUem1FEE0E3Jm7q3RQTQdc+50CgY0CkDsmwmAj/B1JzhuEc9g6Qpo9lw6PoLeqw7T+lcFuzqW0WnNgpl6jMgnZyWUlVKJ4ylp1QuC1Z2Lk/mNPLVO1UfjWhpqAzIMm8YqnEmgkuTFO7VqlVT1T4/dOhQJAt79+5FSu0u3TRPmjRq4EC2G+iStun5IeAt9D4DWSx/6YWIGx5Z0iTj3OhaJuKx6GY4H73DjH03qVM8K8s6KfOx2WTJE4bJy8CRyXB8BpTrBo3myCpbrCey0mlSwmQbG7NLwIfH0NMDcpaNF0e7vJ8wYLM3xbOnxX2Afbz66qrxh6/fVBlLpMfXqR7Jk8RdckVX2IQewYCKgW8BMDlbOBnD70PKDIoQI9ucoQg6IVSfDOhibCw8cptZB27RvGxOZre21qe5suvecekxg1x8tD4c0H1/d849P8eUKlNoXLCxWjjff33PqJOjOPEkPBX3bwV/Y7TtaFImif7NUS2BopFpM+C5EA6MhjwVods+rWyNTwBdK0U67rxt2zbatWuH9J2nZs2aOtZuuOpEAN1wfWMMyEQA3Ri8JDAKBrRgQJbNhHRl2SkzhH6DQdfB4nsw/Sdcruf9GLb1MtWLZmZN1wpaIBZdlWZASo+849ITJu25zrsv31RZA9Z2rUABLepdKY1ZyNctA7LMG7qFbJbabG1tsbGxwdnZOdL+4sWL06RJE6ZOnRqNk1GjRrFp0ybu3bsXWQNr3rx5TJ8+HelGe1yPVuNigQ28uQNd9kC+Xx+yijiQJR3w2W3CB7IuPXpHM2dPLFIk4dJYUQc9rvEnfq8gAzv7gPcGqDEGqg6TVZFW84asSIQwQ2NAtrGxuAq8uAIdt0Gh+B26Grn9Mv8750ePKvkZ00i60WR4j3TrqeiYfQSFhHJqRA1ymmBZE8NjXSCKFwMvb4CzHSSzgBEPY8xWFy95sTSWbc6QA4yQYVAM6GJsDNniw7aLjxlSuwj9ahY2KPu1BXP31Sdq/nOMZIkTcnVCXY2zf9XcUpOXAS/Z2GAjpTKXUhtWaFgoq66uYsGlBUj/LmhRUJUCvkC6AmrLEA3NhIFl1eHpJWgwCyr01MpoUwygX716Fekb0eDBg1Wl+iIe6aJEhgzKHG7Tygk67CwC6Dok2wRViQC6CTpVmCQY+JkB2TYTMwvD55fw5ynIZhWN5GXH7zLF3ZdmZXIyp41pncg11REl1a3vsvocD998IX3KJKzoXB6bvOlN1VxhVzwYkG3eiIdO0TT+DLi4uODo6MiSJUtUadyXLVvG8uXLuXbtGnnz5qVTp06qOukRwXQ/Pz+kAHuXLl3o16+fqgZ6t27d6N+/P6NHj44TgFbjYmUd8DsLrddD8d9+qWv9mYeM3XmV2sWzstyEb2ZLddCtJxzgc1AIe/pXoUQOizh9IBoIBhRhYH0zuHsEmi4G6/ayqtBq3pAViRBmaAzINjbWNIIHJ6DFSijZMl5mVp/pwYM3X1jZuRw1LX9dXiRegmVubDflMM8/fGV338qUyhX/Ou8ywxHiBANRGfB1h83tILs1/HFMMXZkmzMUQygE64sBXYwNqVyhVLZwQbsyNC6dQ1+mKqJXumBResIBPgYGa7wn+fztM3ab7FT4TrU7RdqkaeON1eu5F38d/4tXAa9IkTgFY+3Gqn2TPd7KRAfjY+DNXVhQFhIkgqG3IFUmrWwwxQD6mjVr6Nq1azRepEyER48e1YovY+8sAujG7kH94hcBdP3yL7QLBhRnQLbNxMIK8PomdHaD/NFTHE7b68uSY3fpVjk/4xob5g0Oxck2QgWvPwXSfY0XPo/9VSeO57crQ90S31PwGaE9ArI8DMg2b8gDR0j5BQPS7fMZM2aoaphbWVmpal1VrVpV1aN69erky5cPaSMV8Zw+fZpBgwbh7e2tCq53796dv/76i4ia6L8iW6txsakt3NoLjeZCueibup/1ztp/k4Ued+hUMS8Tm0Q/sGVKA0I6xHT05ivGNLSkh724ZWFKvjUqWxbZwitf6LQLClSXFbpW84asSIQwQ2NAtrHh4gg3dsf7NtLT9wFUmnaERAkT4D2uNmmSJzE0iiLxNJx/gmtPP7C6a3kcimYxWJwCmJkyEJFSt0QzaPXjnVNuNmSbM+QGJuTpnYF4j42gz/DxOaTOAsnSqIXfxukgbz4H4davClY5Te/Qa/vlZ/C8+4apzUvSrkIetTj5udG1N9do69aWDMkzcKyN5gdpXge8ZsSJEZx9dlYlfkGNBVTPLe+7abyNEx0Mg4FjM8BjMhSsCY7btcZkigF0rUkxYQEigG7CztWBaSKArgOShQrBgD4ZiPdmIjawK+uC35lYbw+O2HaZzV5+DK1ThL41TCullT79pwvdX4KC6bfpEod9X5IwAUz4rQSOFfPpQrXQYaAMyDZvGKh9ApZmDGg1Lnb2Bu+NUHMc2A/5JYChrj5svfCYYXWL0sehkGZgjaSXdPBMOoBWyzIrKzqLOuhG4jbTgzk1NwR+gD5ekLmIrPZpNW/IikQIMzQGZBsb/w6AC2vAYTRUG662mdsuPGaIqw+lc6djV5/KavfTR0PHlWc5cfs1s1qVpqVNLn1AEDoFA7EzsGcIeK0If7+T3vMUemSbMxTCJ8Tqj4F4j42l1eCZN7TbDEXrxwn8w9dvlBp/QNXuyvg6Bn3gKk5jYmkQcSGmXYXcTG2ufvr1CHF77u1RBb7LZinL2vprNYWh6hcSGoLTGSe23d6mSgW/of4GEiRIoJVM0dnIGZDKikoHfqVLXTJlzBIBdCMfE/GELwLo8SRMNI/CgAigiwEhGDBxBuK9mYiNj4jbg43ng03naK1+X3eeA9dfMKmpFR3t8po4q6ZnXnBIKGN3XeN/5x6pjPuzWkGG1y1KQimiLh6zY0C2ecPsmDNtg7UaFwfGgOcCqNgX6k7+JVEdV5zl5J3X/NOqNC1MPFDg4/eeJotOkSZ5YrzH1VHdhBSPYECnDAR+hKnfA3IjH6t9E0tdjFrNG+oqEe2MkgHZxsah8XByDtj2gvrT1OYiop5tr+oF+ateMbX76aPhIBdvdlx6wsj6xfijWkF9QBA6BQOxMxBRBqTJIijTUTGmZJszFEMoBEcwIGXImjlzpipDVokSJZg7dy729tGzGErtY0s5HBAQQPLkydUiNd5jIzIz1hwo1y1OHVce+9N44UkypU7K+TG142xvjA32XnlGr40XKZ49Le4DYvbVr+xy9nZmsc9imhduzoRKE7SmQLqJXndrXYJCg1hbby1ls5bVWqYQYMQMPL8CS6pAomQw7A4kj3+JgP9aLwLoRjweNIAuAugakCa6RDIgAuhiMAgGTJyBeG8mYuNjRy/w2QS1JkCVgdFatVriideDdzh3KEuDktlNnFXTNC8sLIyFR+7wz8FbKgObWudgRsvSJE2c0DQNFlbFyoBs84bg2KQY0GpcnJgNhydA6fbQbPEveak1+xh3Xn5iUw9bKhXSrraZoTtAOrxkPfEgnwKDTTYlpKH7wOzxvboFi8pDMgsYGX6ITs5Hq3lDTiBClsExINvYODUPDo6DUm2h+VK17JTeeatM9+DJ+wDWdatA1SKZ1eqnr0aT3K6z4uR9/qhagJENLPUFQ+gVDMTMwLzS8O4BdHGHfMplc5BtzhB+VJQBFxcXHB0dkYLolStXZunSpaxYsYLr16+TJ0/01OBSAH3AgAHcvHkzCq5s2dQvKxfvseE2CM6vgqrDocboOPnY7fOU/v+7RLm86dnaq1Kc7Y2xgbQeVv5e1uTahLokT5IoXmYMPzacvQ/2MthmMF2tfl2uS13B4z3Hq26hO+R2YH6N+ep2E+1MkYGDf8OpuWDZGNpskMVCEUCXhUajESIC6EbjKoMEKgLoBukWAUowIB8D8d5MxKZ63yg4swgqD4Ta0U+URgQ8/tfTjooFM8pngJCkcwZcz/sxcvsVgkPDqFQwI0scbUhrwHUhdU6QGSiUbd4wA67MyUStxsWFtfBvfyhSD9q7/JK2kn/v52NgMIeHVKNg5tQmT3G3NV4c8X3J6AaW9Kwq6qCbvMMNzcC7HrC+KWS2hD5nZEen1bwhOxoh0JAYkG1sXFwHu/tB4brQYYtaJj5885lqM4+SJFECfP6uQ8qkidXqp69GzkfvMGPfTVqUzcU/rUvrC4bQKxiIzkDIN5iUFcJCYLAvpFXuIL1sc4bwo6IM2NraUrZsWRYv/nFg1tLSkqZNmzJ16tRouqUA+sCBA3n//r3GuOI9NiJqKUsZE6TMCXE88w/fZvbBW6oSGlIpDVN8pINl5Scf4vWnILb1qoRN3vTxMrP1v6258fYG8x3m45DHIV59Y2t8z/8eTXY2IQEJ2NV0F/kt8ssiVwgxMgak9O1zS4H/I2i1Fko0lcUAEUCXhUajESIC6EbjKoMEKgLoBukWAUowIB8D8d5MxKb62EzwmARlO8Nv0U9/2jgd5M3nIPYNtKdYNu3T6cjHgJCkCQPHb72i14YLfA4KoVi2NKzpWoFsFuqlUNNEn+hjWAzINm8YllkCjZYMaDUubvwLLh0hV3nocShWJNJNbKu/96t+L91+SJXMsIMaWlKq6r78+D0mu9+gZrEsrOxSXg6RQoZgQH0GLm2EXb2hYA1w3KF+PzVbajVvqKlDNDNOBmQbG5HrSwXocVAtMjafe8SI7Vcony89rn8a/m3CLV5+DN92GYeimVndtYJaNopGggGdMPDmLiwoC4lTwOhnoGCdYtnmDJ0QY55KgoKCSJkyJa6urjRr1iySBOmGube3N8eOHYtGjBRA79GjBzlz5iQkJARra2ucnJwoU6aM2iTGe2xcXA+7+0KhWtBxW5x6Brt4s/3SE4bVLUofh0JxtjfWBo4rz3Li9mumtyhJm/LRswXEZpcUfLfdZEtAcAC7m+6WNdDd70g/jvodpUXhFoyvNN5YqRW4tWHg0VlYVQeSpoFhtyFJCm2kRfYVAXRZaDQaISKAbjSuMkigIoBukG4RoAQD8jEQ781EbKrPLQf3oWD5G7RZH6VVaGgYhUa7ExoG50bVJEtaEWiVz4P6k3T1iT9d13jx6mMg2S2Sq4LoRbOl0R8goVlnDMg2b+gMsVCkCwa0GhcPPWF1fchQEPpfjBWulLpdymiSJllirkyoqwuz9K4joq6iZPOlcbVJnEiUzdC7U8wJwPGZcGRSeN1aNW5hxZcareaN+CoT7Y2KAdnGxoNTsKYBZCwM/c6rxYGUileVkrdmYQbXLqJWH302OnT9BT3WnadULgt2962iTyhCt2AgKgN3DsGGFpClOPQ+rSg7ss0ZiqI0b+FPnz5VBcJPnTpFpUo/DidNmTKFtWvXRkvTLrF15swZ7ty5Q8mSJZF8PG/ePNzd3fHx8aFw4cIxEhoYGIj0E/FI/XLnzo2/vz9p06pxmSNy3JaA3p5xOq258ykuPnrPwvZlaFQqR5ztjbXBMFcfXC88ZmidIvStETP3Mdn24vMLam2tRaIEifDq4EWSRElko+Dii4t03teZpAmTsr/lfjKlMO3yXrIRZ0qC3IfBuWXxKtWjjvkigK4OS6bTRgTQTceX+rBEBND1wbrQKRjQIQOybTSvbIVt3SGfPXRxi2KB/5dvlJ54QPXfbk2qL2pm69C/Sqvye/uFLqvPcffVZ9IkT8wyx3IiRb/SpBuAfNnmDQOwRUCQjwGtxsVLX3C2heTpYMTDWEGduvOaDivOUjhLag4OriYfeAOWFBIahvXEA3z8GsyuPpUpnTudAaMV0EyOgYg6oNX+AodRspun1bwhOxoh0JAYkG1svLgOiytCyoww/F6cJko35SpMOaw6IGospacuPXpHM2dPcqZLwakRNeK0UTQQDOiMgYhD9sUaQduNiqqVbc5QFKV5C48IoHt6elKxYsVIMiZPnsz69evx9fWNk6DQ0FBVCviqVasyf37Mda/Hjx/PhAnRywqqHUB/cQ0WV4IUGeCv+3FiKut0kLefg3DrVwWrnBZxtjfWBjP3+7LI4y6dK+ZlQhMrtc04++wsPQ70IG/avLg1i/qtUG0hsTSU1uyO7h25/Poyv5f6nX5l+mkrUvQ3JgZCgmF2Mfj8CjpshcK1ZUMvAuiyUWkUgkQA3SjcZLAgRQDdYF0jgAkG5GFAto3mncOwoTlkLQm9TkYBd//1ZxxmHSV1ssRcNZMbg/J4xzikvP8SRI+15zn/8B1JEyVkVuvS/FbadE9eG4dXlEUp27yhLEwhXccMaDUuPr2EWdJNhgQw7g0kTBQj+m0XHjPE1Qf7wplY391WxxbqT12PtV4cuvGSkfWL8Ue1gvoDIjSbHwOb2sCtfdBoLpTrKrv9Ws0bsqMRAg2JAdnGxodn4R9XEySEsdL68ussHndefqTW7OMkS5xQVf88eZKY1yND4urRmy9UnelB8iQJ8XWqrzi0wJBAHvg/IEfqHKSRUqaKRzAQGwP7RsGZRVCxL9SdrChPss0ZiqI0b+GapHCPibGePXvy+PFj9u7dGyOhWt9A//IWZnyvpz36BSSJPYOif8A3Sk8IvywifeuSvnmZ6rPm1H3G/3udBiWz4dzBRm0zXXxdmHR2EtVyVWNhzYVq91O34cGHBxl8dDAWySw40OIAKZOkVLeraGfsDNw9AuubhR92GXoLZMxuIALoxj444odfBNDjx5doHZUBEUAXI0IwYOIMyLbRfHIRljtA2lww+FoU1i48fEeLxZ7kzpCCE8PFrQhTHFJfv4UwyMWbvVefq8wb3cCSHvb5SaBgnTtT5NFYbJJt3jAWgwVOtRjQalyEfAOn7yn3ht2DVBlj1LnI4w4z99+kpU0uZrUqrRYuU2i04sQ9Ju25QfWimVXlMsQjGNAZA0uqwPMr0N4VitSRXa1W84bsaIRAQ2JAtrHx7StMzhpu2ohHkPzXtwPXn37A2F3XqFQwI5t62hkSJbFi+RwYTIm/96t+f31iXVImlS+A8ynoE75vfVU/N97eUP3ce3+PkLAQLDNY4tLIRbzvG8Uo0RPITW3h1l5oOBvKd1cUhGxzhqIohXBbW1tsbGxwdnaOJKN48eI0adKEqVOnxkmQKktIhQqqlO6rVq2Ks73UIN5jIywMJmWFkEDo7w0ZvgfTY9Dm4/eeJotOkTlNMrxG11ILj7E22nP5GX02XaRc3vRs7fUjBX9c9kw/N50NNzbQuXhnhpYfGlfzeP8+JDSExjsb4/fRj5EVRtLesn28ZYgORsrAzj7gvQHKdYNGc2Q1QgTQZaXT4IWJALrBu8igAYoAukG7R4ATDGjPQLw3E7GpfHsf5ltDklQw+mmUVodvvKD72vOUzmXBLlGXT3unGagEKc2wk9t11ng+UCHsVjk/YxtZio9qBuovbWDJNm9oA0L0NTgGtB4XU/NAoD/08YLMMdecHbvzKuvPPKSvQyGG1i1qcBwoBejqE38aLThJqqSJVDciRR10pZgWcqMxMKMgfHkNf56CbOqn61SXSa3nDXUViXZGx4CsY2Nydvj2BQb4QPp8v+Si14YLqgOh8a3xqk+CpYBSsbH7CAwO5cRwB3Jn0Oz23euA1z+C5W/Cg+VSQOJXz4YGGyid2XwOtOnTz0ape2EFeH0THHdAQWUP0ss6Zxgl2cYB2sXFBUdHR5YsWaJK475s2TKWL1/OtWvXyJs3L506dVLVSY8Ipkup2O3s7FT1ziUfS2nbpXTvUh11KZCuzqPR2JhXGt49gK77IO+PdPP/1bfL+wkDNntTIV8GtvwZezt1cBp6G68Hb2m15DR5M6bk2DAHteH2OtSLk09OMq7iOFoVaaV2v/g03Oy7mclnJ5MzdU5VmvjECeU7SBYfHKKtDhkIDoSZhcO/H3TZA/mqyKpcBNBlpdPghYkAusG7yKABigC6QbtHgBMMaM+ARpuJmNQGvIfpecN/M+YlJE4W2cr1vB/Dtl6mWpHMrO2m3iZHe8uEBH0wIH3AW3HiPpPdb6jUL+9UjtrFv9/60QcgoVMRBmSbNxRBJ4TqiwGtx8U8a3h3H7rthzwx3/rrue48B6+/YFJTKzrafV9z9GWwDvWGhoZRxukgUprIHb0rUSZPeh1qF6rMloGfb+4Ovw8pM8hOhdbzhuyIhEBDYUDWsTG7OHx4Aj09IGfZWE2U5lqbSQd59+Ub23pVxCav/GNeKX4rTzvCk/cB7OxTGevc6eJUI93YkwIaV15fUQXKfd/48jLgZYz9sqXKprptLv0Uy1AMy4yWzL84n3/v/asKhkhBEfEIBqIxEBoKk7OF3+JV4/CKtgzKOmdoC0b0/yUD0u3zGTNm8OzZM6ysrJgzZ46qprn0VK9enXz58rFmzRrV/x80aBDbt2/n+fPnWFhYUKZMGaQa5z/XUI+Lbo3Gxqp68Og0tFwFVi1iVTHv0G3mHLpFK5tczDTx7FgPXn+m+qyjpEiSSJXtRN1sg/W31efxp8esqruK8tnKx+UujX4fEBxAna11eB/4nlnVZlE3X12N5IhORsTADTdw6QBpcsCga3GW6ImvZSKAHl/GjLu9CKAbt//0jV4E0PXtAaFfMGhAYi8AACAASURBVKAwAxptJmLCJG2QnTJCWCgMuQVpfgRNlx2/yxR3X5qVycmcNtYKWyTEGwID0/b6suTYXQpkTsX+gVVJkujX9SYNAbPAoD4Dss0b6qsULY2AAa3HxfIa8OQCtN0ExRrGaPFvC09y+bE/KzqVo5aZHc75fd15Dlx/wV/1itGruqiDbgR/EsYPMSK7UOLkMPo5KFCWRet5w/hZFhbEwoCsY2NxZXhxFTpuh0I1Y+X8+tMPNJh/gpTfs30Y0/trxPq4snM5alrGfXh1442NTDs3LQoXCUhA3rR5wwPlGYtFBszTJ49+aOvcs3N0P9CdNEnScKT1EZJL84R4BAM/M+D/GOaUAOkmqFRHOpGyN0JlnTOEJ02KAY3GhmtXuLYd6k6Bin1i5UMqY7fj0hOG1S1KH4dCJsXbf435uVyIuvXeg0KCKL+xPKFhoXi09iBTiu8luxRgapH3Ipb4LMEqoxWbGm5SO8CvABQhUhcMuHaBazugYl+oO1l2jaYWQH/16pWq9EX//v0ZNWqUiq+zZ89ib2+Pm5sbderIX6pLdqcoKFAE0BUk1wxEiwC6GThZmGjeDGi0mYiNsun5IeAt9D4LWYpFtpq+z5fFR++qUnqPa1zcvAk3E+s/fP1G9ZlHefs5CKemVjia0U1Rc3CxrPOGORBmJjZqPS42toLbB+C3hVDWMUbWyk8+xKuPgbj1q4JVzl/XsTU12ledvM9Et+tULZKZdSKbi6m51zDteXAK1jSADAWg/yVFMGo9byiCSgg1BAZkHRtrGsGDE9BiJZRsGat5K0/eV5UjMsasWV1Wn+PozVfMaFGK1uVzx+nC8Z7j2XZ7G9aZramfv77qVnnR9EVJmUS99O9SMES6Vfj081NmVJ2hkiEewUAUBu6fgLWNIENB6H9RcXJknTMURysU6JIBjcbG/tFwemGcwbmmi07h7fce5w5laVAyuy7N0ouuEuP28TkoBI+h1cmfKVWcGO68u0Oz3c1InSQ1nu08FQ1qvwl4Q91tdQkMCWR13dWUy1YuTnyigZEyEPgJZhaC4IA4swtpaqGpBdAlHtzd3WnatCmenp4UK1ZMldGjYcOGzJ07V1OaTKafCKCbjCv1YogIoOuFdqFUMKA7BjTaTMQGb35ZeHs3Wp2oEdsus9nLjyG1i9CvZmHdGSc06ZWBdacfMG7XNTKmSsrRYdVJkzyJXvEI5fIxIOu8IR8sIUnPDGg9Lrb/AZc3Q+2JUHlANGu+hYRSZMxewsLAa3QtMqf5USpEz6brRP2NZx+oP884b0bqhCChRH4GrmyFbd0hnz10cZNfPqjqmUopWf39/UmbNq0iOoRQ42RA1rHh0hFu/AsNZkGFnrES0mOtF4duvGRE/WL8Wc24Mn0M2eLDtouP1c5S8sfBP/B86olTZSeaFmqq0SBZeGkhSy8vpXLOyiyptUQjGaKTCTNwaAKcnA1FG0K7TYobKuucoThaoUCXDGg0NjwXwIExYNUSWq6MFa71xAO8//IN9/72FM9h+u8x1Wd68ODNF1x+t8O2QMY43Xj44WEGHh1IiYwl2Nxoc5zttW0w8fREXG+5Ui1XNRbWXKitONHfUBm4vAW29ww/5Nvvos6zZEULtkofKL590Q9b0sHHeGQJ69OnD4cOHaJ8+fL4+Pjg5eVF8uQii5AIoOtn+JqKVhFANxVPCjsEA7EwoNFmIjY2l9eEJ+eh7f+gWIPIVhFpZ82tZq25Dzop2FV3znHuvf5MH4eCDKv7IyuBuXNj7PbLOm8YOxkCfyQDWo+LfSPhjHN48FwKov/nefo+gErTjpAkUQJuOtUnYcIEZsW+VJu37KSDqo90u/pUprQaNW7NiiBhrPwMnJoHB8dBqTbQfJn88kUAXRFOTUWo1mvKz0Ts7g8X14LDGKg2LEaKgkNCKTPxIB8Dg9ndtzKlcsVdR9yQuJ7ifoNlx+/Ro0p+xjSKO+NXk51NuOd/j+V1lmOX3U4jU/w++NFgRwMSJkjIgRYHyJoq7tTxGikSnYyPgeDA8PTtn19B6/VQ/DfFbZB1zlAcrVCgSwY0GhsRhwjzVoau7jHCff8lCOuJB1W/k2qCp0yqbJkCXXIWm67WS05z7sFbFrYvQ6NSOeKEtOLKCuZdnEfDAg2ZZh+1bEicnTVo8PDDQxrvaEwYYexsspOC6YzrMJwGJptnl42t4fZ+qDocaoxWhIN43UAP+gxT4v57UAToqKeQNO5sEBG6AwICsLKyws/Pj/Pnz1OqVClFYBmbUBFANzaPGRZeEUA3LH8INIIB2RnQaDMRG4oNLeHOQWjiDGU6RLaKeMk2l7RWsjvJiAXuv/acP9ZfIFnihKpb6NktUhixNQJ6BAOyzhuCVpNhQOtxcXwmHJkEZRyhSfQbAxcfvaO5syc506Xg1IgaJsNbfAxpvfQ05+6/ZV5ba5pY54xPV9FWMBB/Bvb+BWeXQOWBUHtC/Pur0UPreUMNHaKJcTIg69g4+Decmgt2vaHe1BgJ8fF7T5NFp0iTPDHe4+qQyMgOaS09dpepe31pXiYns9tY/9LpYWFh2G2y40vwF/5t+i/5LPJpPEg67+3MxZcXGVh2IN1LdtdYjuhoYgxEBB/TZIeBVxWvfy6xJ+ucYWLuMHdzNBobEWVs0ueHAd4xUiilbpdSuGdJk4xzo2uZBc19Nl5kz5Vn/N24OF0r54/T5jEnx7Dr7i76WPfhz9J/xtlejgYDPQZy+NFhmhduzoRKyry/yoFTyNCQgS9vYVZhCA2GPucgc1ENBf26m6kG0K9du0a5cuX49u0bO3bsoHHjxorwZ2xCRQDd2DxmWHhFAN2w/CHQCAZkZ0CjzURsKLb1hCtboM5kqNQ3slWt2ce48/ITm3raUqlgJtltEAINlwHpA12bpWdUp5RblM3FP61LGy5YgUxtBmSdN9TWKhoaOgNajwuvlbBncKypPt2vPKP3xovY5E3Ptl6VDJ0ORfANc/XB9cJjBtcuQn9REkURjoXQnxiISHtdfybY/q4INVrPG4qgEkINgQFZx8bJuXDobyjdDprFnGp8ybG7TNvrSy3LrKzobHx1U13P+zFs62WqFsnMum4VfulC/0B/qmyuomrj1cGL5Ik1T925/fZ2/vb8mwIWBVS3/RLEI42oIYwzgUEhBlbVh0eeUG0EOIxUSElUsbLOGTpBLJToigGNxsbbezC/DCROAaOfxZgieeelJwx08aZC/gxs+aOirszRq57xu6+xxvMBvaoXVJUMievp6N4Rn1c+zKw2k3r56sXVXJbfe7/0xnGvI0kSJmF/i/1kTplZFrlCiIEwcH41uA2ErCWh10nFQMUrgG4kKdyDgoKoUKEC1tbWqhros2fP5sqVK2TNKjIIiQC6Yn9KZiFYBNDNws3CSHNmQKPNRGyEuQ+Hc0vBfijUHBvZysbpIG8+B7FvoD3Fspl+XShzHk8x2R5xMlv6nubWrwolclgIioycAVnnDSPnQsD/wYDW4+LaTnDtDHkqQrd90ahddfI+E92u07BkdhZ1KGuW1C84fJt/Dt4SB5LM0vt6MDqiNE+bjWDZSBEAWs8biqASQg2BAVnHxoW18G9/KFIP2rvEaF6nVec4fusVYxsVp3uVuG/VGQJHP2Pw8H1J1zVeWOVMi1s/+1/Cu/n2Ji3/bUn6ZOk53va4VqZ8CvqEwxYHvoZ8ZVODTZTMXFIreaKzCTDw4josrggJEsGgq5BWN2ltZZ0zTMANwgQt9yjfAmBytnAhfz2AFOmjUTrn4C3mHb5Nm3K5md7SPNIgL/K4w8z9N2lpk4tZreK+HGG/2Z73ge9xbexKsQxxB9zlGreO7o54v/KmZ8me9C/bXy6xQo4hMLCmETw4AbXGQ5VBiiGKVwBdMRTyCh42bBhbt25V1T5PnTo1Dg4OpEmTBjc3N3kVGaE0EUA3QqcZEGQRQDcgZwgo5sGAs7MzM2fO5NmzZ5QoUYK5c+dibx/zR5A1a9bQtWvXaMRINU2SJ1fvJoGsG02PqXBsGpTrDo1mq3BJNVsLj9lLSGgY50bVJEta9XCZh7fNx8p+/7vEvz5PqVwoIxu624rbKUbuelnnDSPnQsDX8uPUzwTePw5rG0OmItDXKxq1U91vsPT4PVVgQwpwmOOzy/sJAzZ7Uz5felz/NM9b+Obod73Z/I8lfHwKPT0gpzKHVsR6ojfvxluxUe9RbvwLUkaF3LbQ/UA024OCQ7GeeIAvQSHsHWCPZXbjO/AbkYI+u0VyTo+s+Uv/Hn98nD6H+2CZwZItjbfEeyz8t8PIEyNxu+dGm6JtGGM3Rmt5QoCRM7BnCHitAMvG0GaDzowR64nOqDY6RRqPjWl54et76H0GslhGs3vA5kvs8n6quokt3cg2h2fLeT+Gq5nt5P3X99i7hH/LPNv+LCmTpNQZRVIKdymVe9qkaTnY8qBOdevMSHNU9OEpzJa+A4TBwCuQLo9iLJhaAP3o0aPUrl0bDw8PqlQJz0L06NEjVQ30qVOn0qtXL8W4NAbBIoBuDF4yXIwigG64vhHITJABFxcXHB0dkT5QVa5cmaVLl7JixQquX79OnjzRXwykAPqAAQO4efNmFDayZft+UlYNjjTeTMQk+8wS2PcXlGgOrVarWvh/+UbpieEfqm5Nqk/SxAnVQCWamBoDfm+/UPOfYwSFhLK6a3kcimYxNRPNyh5Z5w2zYs60jdV6XLy4BosrQcpMMPxurB+pRjewpGfVAqZNZizWmWOtRbN0tCEYHRIMkzJDWCgMuQlp1H+3jA98reeN+CgTbTVmwOj3KA9OwpqGkLEw9DsfjYfzD97Scslp0qdMwoUxtUloZPXPJYMev/tClekeqr3WTad6vzysuuXmFpzOOOGQ24H5NeZrPC4iOp5+eprfD/5OmqRp8GjtQbJEybSWKQQYKQOBn+CfYhD0ERx3QkEHnRki1hOdUW10ijQeG84V4eV16LgdCkU/mNRk4Ul8HvuzpGNZ6lllNzpeNAHscfMlXVd7qQ6aSQfOfvVEpFLPliqbKoityyckNIQmu5rw8MND/ir/Fx2Ld9SleqFLKQZOL4L9o2I9ECmnWlMLoMvJjSnKEgF0U/Sq7mwSAXTdcS00CQawtbWlbNmyLF68OJINS0tLmjZtqjoR9t9HCqAPHDiQ9+/fa8yexpuJmDT6uMCO36GAA3TaqWpx//VnHGYdJXWyxFydUFdjnKKj8TMwec91lp+4T5GsqXHvb0/iROIwhbF6VdZ5w1hJELijMaD1uPjwDGYXC0/5OfY1JIw6R7Reeppz998yv10Zfiutm3Sghubmd5+DKOMU/gHqxsR6pEiayNAgCjymwoDqhoclJEwMY15CQmXGmtbzhqnwbeB2GP0eJY4DWhHlMRqUzIZzBxsD90bM8AKCQrAcF17+5Mr4OqRJniRWO+ZdnMeKKytoV6wdo2xHaW2vFKiot70ezz8/Z1a1WdTNJ/Z8WpNqrALOrwK3QZCxEPTxivYup6RZYj1Rkl3jlq3x2FjfDO4egSbOUKZDNBJKTziAf8A3o81coolXrz31p+H8k2RKnYzzY2r9UsSO2zsY5zkOu+x2LK+zXBN1WvWJOCyWI1UO9jTfQ2LpnVY8xs3AMgd4ehHqzwTb3xW1RQTQFaXX4ISLALrBucSoAIkAulG5S4DVJwMnTpxQ3Ri/e/euqqZIzpw5Wb9+Pfnz549Mj/IrfEFBQaRMmRJXV1eaNWsW2VS6Ye7t7c2xY8eidZcC6D169FDpCgkJwdraGicnJ8qUKaM2FRpvJmLScOsAbGoF2a3hj3C8Fx6+o8ViT3JnSMGJ4TXUxiUamh4DUjaCqjM9VJvMac1L0raCcumWTI+9X1gUGhqe9loKNnbaDVKxeYUfWecNhbEao3ht1xN92az1uAgOhEnfs1PEUGuw2kwPHr75wpY/KlIhfwZ9malXvWFhYZSacICPX4PZP7AqRbOl0SseodyEGXh8HlbUBIvc4TVsFXq0njcUwmVKYrVdU0xijxJxIEQ6oDXuTbR3JceVZzlx+zVOTUrgWDGf0bq/+Lh9qjT0R4dWJ1+mVLHaEZFyfZDNILpZdZPF3vkX57P8ynLsc9rjXMtZFplCiJExEBYGS6rAi6tQdwpU7KNTA8R6ojzd2q4nyiOMWYPGY2NnH/DeADXGQNVhUYSb66HWlx+/UmHyYdUnh9uT6v/yUsTcC3NZeXWl3sp7fA3+St1tdXn79S0zqs6gfv76+hqCQq8cDLy5CwvKQoKE4dmxUiub1VIE0OVwmvHIEAF04/GVISIVAXRD9IrAZHAMbNu2TZV6vUOHDqqguZRyvUCBAqpU7G5ubri7u8eJ+enTp6pA+KlTp6hU6Udd0ylTprB27dpoadolgWfOnOHOnTuULFkSaXGfN2+eSpePjw+FCxeOUWdgYCDST8Qj9cudOzf+/v6kTatlvT8/L1hZC9LlhYGXVSoO33hB97XnKZXLgt19w+usiMd8GVh58j5ObtfJnCaZ6uNeqmTiFLDWo+H1HVj4/bbUYF9Iq3z6OI0/QmhtrOkLkGM90RdLsoyLKTkh6BP0uwgZf9QSlALHxcbuIzA4lBPDHcidQXc19PTFZ2x6Gy04wdUnH1jmaEOdEsqk1TY0mwUePTBwfRds6QS5KkAP5dJuyjJv6IEeY1Epx5piEnuUbwEw+ft8OcIPkkfd80jZsqSsWS6/22FbIKOxuDcaTvsZR/B7G8C2XpWwyZs+Vju67uvK+RfnmW4/nQYFGshi7wP/BzTe2ZiECRJyqOUhMqfMLItcIcSIGHh0FlbVgcTJYfANSKnbw45iPVF2rMixniiLMHbpGo+Nw05wYhaU6w6NZkdRcPHRO5o7e5ItbXLOjIqe3l1ftiqtNyQ0jMKj3QkNg3OjapIlbfJYVUo1yKVa5CMqjKCDZfQb/EpjleQv9lmMs7czlhkscWnk8svyJrrAI3RowcCxmeAxKUrGUy2kxdlVBNDjpMikGogAukm5U+fGiAC6zikXCo2RAenG96BBg+jUqRNp0qRRBbClALp0c7xevXo8f/48TrMiPk55enpSsWLFyPaTJ09WBeV9fX3jlBEaGqpKAV+1alXmz4+5nt348eOZMGFCNFmyBNAjAnnJLGDkI5UO1/N+DNt6mWpFMrO2W4U4bRANTJuBoOBQas0+xqO3XxhYqzADaxUxbYN1Yd21neDaOVxTt/2Qx05xrRp/hFAcmfErkGM90RcLsoyLOSXB/xF0PwS5y0ea8vMtj5uT6pEssTLppPXFXXz09tl4kT1XnjGmoSU97M2zFnx8+BJtNWTgzGLYNwKKN4XWazUUEnc3WeaNuNWYbQs51hST2KNII2BSNggOgAGXIX3eKGOi5N/7+RgYzOEh1SiYObXRjpcmi07h4/c+zgNW9bbV48mnJ6yrv44yWdTPXBYXMY7ujni/8maIzRC6WHWJq7n4vakxsP13uOwC1h2h6SKdWyfWE2Upl2M9URZh7NI1HhteK2DPECjaENptiqJg+8XHDN7ig12BDGz+/cf3O33ZqEu95Scf4tXHQNz6VcEqp0WsqpvubMpd/7ssqbWEyjkr6xLijz3k13fU2VqHryFfWVlnJRWyi2+SOnFEcBDc2gsvrkOBapDbTruSHlKGE2c7eOULTRZBGeVr2osAuk5GisEoEQF0g3GFUQIRAXSjdJsArWsGpNTr0q3zfPnyRQmg37t3j+LFiyNNxHE9mqRHjElmz549efz4MXv37o1RpaI30D+/gZnfP+aPfQOJErPs+F2muPvSrExO5rSxjosG8XszYGDP5Wf02XSRFEkScWxY9V+eWjYDOrQ30WMKHJseLqfZUijdVnuZcUjQ+COE4siMX4Ec64m+WJBlXCytBs+8of0WKPKjhuqNZx+oP+8EGVIl5eLY2voy0SD0Tt/ny+Kjd3G0y4tTUyuDwCRAmCADB8aC53yw6wP1pihmoCzzhmLojF+wHGuKSexRJFf+Ywkfn8LvRyHHj6Dx128hqgwn0uPzdx0sUsReO9zQR0T3NV4c9n35y1JJoWGh2GywITg0mAMtDpA9tXyZi7be2sqE0xMolK4Q23/bLm76GfqAkROf9B1gdjEICYKeRyDn9+xYcuoQ+xMdshldlRzrib4M0Phdw9cdNrcLXzOkteOnZ/aBm8w/cod2FXIztXkpfZmmF70N5p3g+rMPrO5SHodiMafRDgkNofzG8nwL/ca+FvvImTqnXrBKSiedmYTLTReq5KzC4lqL9YbDLBQ/vwreG8MPU31588PkNDnAqnn4Tw4pDXs8yw5KcpdUhkRJYehtSJFOcTpFAF1xig1KgQigG5Q7jA6MCKAbncsEYH0wULBgQVX981q1akUJoK9bt45p06apguvqPLa2ttjY2KhSv0c8UgC+SZMmTJ06NU4RUorbChUqqFK6r1q1Ks72UgONNxMxSQ8JBqfvaQ+H3YNUGYn40N+1cj7+blxCLUyikWkzII3T5os9ufToPW3L52ZaC/PacMru3c0dwNctXGz1UVD9L9lV/FegrPOG4miNS4Fc64k+rJZlXKxvBnePQNPFYN0+0gyPmy/putoLy+xp2TvAXh/mGYzOzeceMWL7FZHZxWA8YqJAtnaHq1uhzmSo1FcxI2WZNxRDZ/yC5VpTjH6PIrnSuRK8vAaOO6BgjUjn+r39gv0MD5ImTshNp3pGHfQd5uqD64XHDKtblD4OhWIcwK8DXuOwxUGVav1CxwskTihfOaWPQR9VsgNDAtnccDMlMom9n/HPImpacHIuHPobslvDH8fU7CRvM7GeyMvnf6XJtZ4oizJm6RqPjScXYbkDpMkOQ6JmhOz/v0vs9nnKiPrF+LPaj7JT+rBP1zq7rD7H0ZuvmNGiFK3L545Rvd9HPxpsb0DShEk51+EciRLqL3uY3wc/Gu5oSBhhqsNdhdPHXO5S1zyajL6Ad3BlK1zaEH4QPuJJnQ1yV4B7RyHww4//nj4fWLWAEs0hawn1gumHxsPJOVCsEbTdqBPqRABdJzQbjBIRQDcYVxglEBFAN0q3CdC6ZmDGjBmqOuVS0Lp27dqqOuQPHz5UpXUfN24cffuq9+HRxcVFVUt9yZIlqjTuy5YtY/ny5Vy7do28efOqUsRLddIjgulSKnY7OztVvXNpcZfStkvp3qU66lIgXZ1H481EbMKn5oFAf+h7ATIVYsS2y2z28mNI7SL0qyleVNXxiTm0ufDwLS0WnyZhAtg7oCpFs6UxB7OVsXFeaXj3IFy2dQdo+uMAjjIKZT54oxRII5Ur13qiD/NlWU+29YArrtGCdhFB4xrFsrCqy4/U7vqwU986Pe++pv3ys+TPlAqPodX1DUfoN1UGVtWHR57QclX4Ry6FHlnmDYWwmYJYudYUk9ijrG4ID09GG9OXHr2jmbMnOdOl4NSIH4F1Y/T/tL2+LDl2l26V8zOucfEYTbj6+irt9rQjS8osHG51WHYzhx8fzt77e2lXrB2jbEfJLl8INEAGQkNhQZnw/chvC6Gso15AivVEWdrlWk+URRmzdI3Hxsfn8E9RSJAQxrxSZViMeH5beJLLj/1Z0tGGelbZ9GGW3nRGHNYaWqcIfWvE/I3vxOMT9D7cW5WRZEeTHXrDGqF48NHBHHx4kCYFmzCpyiS94zF6ANK8f/9YeND8xr8QEhhuUsIkULQ+lHEMP6wo/c18+wp3D8PVbXBzL3z78sP8TEXD9xnST6aYD/4hpW+fVwreP4KWq8NvsevgEQF0HZBsQCpEAN2AnGGEUEQA3QidJiDrh4HRo0czZ86cyHTtyZIlY+jQoTg5OcULkHT7XNqcPHv2DCsrK5VMqaa59FSvXl2VJn7NmjWq/y8F6Ldv366qsW5hYYFUl0qqcf5zDfW4lGu8mYhN8FzpxeZhZP3a39ed58D1F0xqakVHu6j1BuPCJn5v2gz02nCBvVefU71oZtZ0Ve/Ah2kzooF1gZ9g6k/p0PJWga57NBAUvy6yzxvxU2/yreVaT3RNlCzjwn04nFsK9kOg5rhIE+YcvMW8w7dpVyEPU5uX1LVpBqXvyfsAKk87QpJECfB1qk8i6SSSeAQDcjMQ8T7XbT/ksZNbeqQ8WeYNxdCZhmC51hSj36O4dAz/yNvwHyjfI9K5B6495/f1FyidOx27+uinRqtcI2358XtMdr9BE+sczGsbc21zKYAgBRJKZy7NhgYb5FIdKcfziSd/HPoDi2QWHGl1hKRSulXxmDYDtw/BxhaQ3AIG+0LSlHqxV6wnytMu13qiPNKoGjQeG6Eh4JQZwkLCx3ba8JIXUka9UhMO8PFrMPsHmt9lgBn7fHE+epfOFfMyoUnM5aTWX1/PDK8Z1M5bm9nVZ+va5dH0XX51mQ7uHVRZV/Y130fWVFn1jskoAUgHpbw3hf/4+/0wIUuJ8LrkpVpDqkyxmxb0GW7tg6vb4faB8LIfEU+2Ut+D6c0hXZ4f/93vHKysDUlTh6dv19EaIwLoRjlCNQYtAugaUyc6AiKALoaBYCAeDHz58kWVrj00NFRV+zx16tTx6K2fphpvJmKDG1m/1hWK1KH1ktOce/CWRe3L0rCUfDX29MOW0ConAw9ef6bW7GMEh4axobstVQr/4kVbTsWmJMvPC1bW+mGRRW4YdFVxC2WfNxRHbHwKzHY9OToNjk4Fmy7QeF6k4yKymQyqVYQBtcw7m0lIaBiWY/cRFBLKieEO5M6gnw/VxvdXJRCrzYB002NSlvCPWgOvRP2IpbYQ9RqK9UQ9nrRtZbZrys/E7e4HF9eBwxioNizyN5vOPmLUjivUsszCis7GneFk+8XHDN7ig33hTKzvbhvjsIkIatTNV5dZ1WZpO7Si9Zfq3tbZVoeXX16qgiZS8EQ8Js7AprZway/Y9oL60/RmrFhPdEO92a0n/1jCx6fQ8wjktFGR/OZTIDaTDqn+7etUj+RJ9JeeXDdej6plzan7jP/38toSLQAAIABJREFUOg1KZsO5Qzgn/32cTjux5dYWepbsSf+y/fUBM5rOzns7c/HlRbpZdWOQzSCDwGQUIL4FhB9AvLQe7h//AVk6NFWyVXjgXCrfEd+65l/9wXdPeDBdKuEmHVSJeHJV+J7mvSmcmB1+wL5ka2ixXGeUiQC6zqg2CEUigG4QbjBaECKAbrSuE8B1yYC/vz8hISFkyJAhitq3b9+SOHFi0qZNq0s48dIl+0ZzXVO45wHNlkHpNqoA6Z2Xn9jU05ZKBUWANF7OMYPG43dfY43nA1VdY7d+VcRNyvj6/PxqcBsIWa3gxdXv6eVeQqIk8ZUUr/ayzxvx0m7ajc1+PTm3HNyHguVv0GZ9pLMjau1Nb1GSNuV/OpFu2sMhVutq/HOUe68+s7GHLZULibXVTIeBcmZ/fg0zpXqeCWDMS0is3A1SsZ4o50ZJstmvKT/Te3AcnJoHdn2g3pTI38w/fJvZB2/RtnxuprUopaxDFJZ+9OZLuqz2Ur1X7x1gH6O2mV4zWXd9HZ2Ld2Zo+aGKIJp7YS4rr66kWq5qLKy5UBEdQqiBMPDeLzy1blgo9PGCzEX0BkysJ8pSb7bryfIa8OQCtNkIlo1UJEeUo8thkRzPkTWVJd4Ape+5/Iw+my5SLm96tvaqFCPCHvt7cPb5WSZVnkSTQk0MwgqPRx709+hPmiRpONjqIKmSpDIIXAYJQjpM+/RieIr2K9vCy3SqngRQoFp4ivZiDSFJCnngf34DN3aHp3l/cFLK8/BDn/RtSzrU234LFKkrjz41pIgAuhokmVATEUA3IWfqwRQRQNcD6UKl8TFQv359GjduTO/evaOAl2qZ7969W1UT3VAf2Tearl3h2naoNx3s/sTG6SBvPgexb6A9xbIZ7kECQ/WPqeN6+zmIajM9VOnPZrUqTUubXKZusrz2uQ+Dc8ugYl/wWgnBAdD/EmQoIK+e/0iTfd5QFK1xCTf79eTKVtjWHf5TjqDe3OP4Pv/I2m4VqFYks3E5VQG0EQcKpjQrSXtbcaBAAYrNW+QzH1haFVJlgWG3FeVCrCeK0ovZryk/03tyDhwaD6XbQ7PFkb8Zu/Mq6888pF+NQgypU1RZhygs/eoTfxotOEnWtMk4O+qnDEU/6Y2oAzuiwgg6WHZQBNE9/3s02dmERAkScajVITKlEAe9FCHaEIQedoITsyB/Vej8r14RifVEWfrNdj3Z3AF83aDBLKjQU0XytguPGeLqQ8UCGfnf78qVuVHWo5pL93rwllZLTpM3Y0qODXOIUVBN15qqTCRSqRCpZIghPKFhoaq16cGHBwwrN4xOJToZAizDw/D1A2xsBX5nfmCTUqpbdwTrdopmplIp/PAMru8KD6Y/PheOIWXG8DIKCh7q/a8jRADd8IamkohEAF1Jdk1ftgigm76PhYUyMCDdPD916hSWlpZRpPn6+lK5cmXevHkjgxZlRMi+0XQbDOdXQrURhFYbQeExe5HSzZ4dVZOsaZMrY4SQatQMLD12l6l7fclukZwjQ6qTIql5pUDTynmrG8DDU9B0CUgfhl/fBMedUDDmjaxWun7qLPu8IRcwE5Bj9uvJXQ9Y3xSyFIfepyM9aj3xAO+/fDPLOoMxDeu/d11l7emH/FGtACPrR333MIE/A2GCvhm4uRf+1zY8HeMfxxRFI9YTRelVZccSe5TvHF9YA/8OgCL1of3mSOJ7bbjA3qvPmfBbCTpXyqesQxSW/sw/gIpTj5A4YQJuT65PghjSqXbY04HLry8zt/pcauZV7uakVGtWqjk7tNxQOpforLDlQrxeGAgOgjnF4fMraLUWSjTVC4wIpWI9UZZ+s11P9gwFr+VgPwRqjlOR/M+Bmyw4cod2FfIwtXlJZYk3QOlSKb7qs46SMmkirk+sFw3hl29fsN0UXkbkZNuTWCSzMBgrtt7ayoTTE8iWKhvuzd1JklDZzH0GY3h8gJz4Bw5PhMTJw7PCSSna89lDwoTxkSJP23cPw2ul5ygLuWIuFyCPouhSRABdKWYNU64IoBumX4wFlQigG4unBE69MpAqVSrOnDlDyZJRX56vXLmCra0tUp0oQ31k32hGnEKv8Af+1SdTeuIBlek3J9UjWWIRGDXUcaBPXF+/hVDzn2M8eR/AsLpF6eNQSJ9wjEe3lFZrel6Qakf9cQKOOIVvLqS60VL9aAUf2ecNBbEam2izX08ibr6mzgZDb6rcJ80RxcbuU/3bZ1wdLFKKDx0rT97Hye069a2ysbijbj8mGNvflMCrAQNSRpM9g6FoQ2i3SQMB6ncR64n6XGnS0uzXlJ9Ju74btjhCbjvovj/yNy0Xe3L+4TucO5SlQcnsmtBsMH0Cg0MoOubX62XNLTV5GfCSzQ03UyJTCcWwb7m5BaczThROX5htjbfFGMxXTLkQrBsGpNuBW7uB9M426KriJaTiMkqsJ3ExpN3vzXY9OT4rfJ9t3QGaOqtI7LvpIm6XnzGqQTF+ryqVvDGv53NgMCX+Dl9Hr06oS+pkiaMQcP3Nddq4tSFD8gwca6PsQcz4Mh8YEkjdrXV58/UNU+2n0qhAeFp+8XxnIOgLzC0JX15HluU0V25MLYC+bt06Bg0axNOnT0mWLFmkW1u0aIE0v0u/N+dHBNDN2fva2y4C6NpzKCSYAQPVq1dXBc8XLFgQxdo+ffpw+fJlTpw4YbAsyL7R9FwIB0ZDydbcrzYXh1lHVS/U0ou1eAQDsTGwy/sJAzZ7q8bK0WHVyZT6xwudYC0WBvyfhN/6SJAIRj+D/aPDT8dXGQy1/laUNtnnDUXRGpdws19PpFqac61Aug0w9hUkSMDDN5+pNvMoKZJItxzqio/wwKHrL+ix7jzFs6fFPZY6t8Y18gVag2Ig4jBk+Z7QcJai0MR6oii9mP2a8jO990/A2kaQqQj09Yr8TfWZHjx484Utf1SkQv4MyjpEB9JL/r2fj4HBHBlSjQKZU0fR+C3kGzYbbAgjDI/WHoqmVvcP9KfGlhoEhQaxpdEWLDOKbCk6cL9uVaxuCA9PQrW/wGGUbnXHoE2sJ8q6wGzXE+9NsLMXFHCATjtVJDdacIKrTz6wzNGGOiWyKUu8gUovMW4fn4NC8BhanfyZotYS33t/L8OPD6dMljKsq294Qblll5ex4NICimUoplqfYsrWYqC0Kw/r7DLYOyw8TXu/S5Ao6uEI5QEYjgZTC6AHBASQPXt2li9fTqtWrVREv379mpw5c7Jv3z4cHJTNYmk4no0ZiQigG7qHDBufCKAbtn8EOgNhQEqNWKtWLcqXL0/NmuGp8A4fPoyXlxcHDhzA3t7eQJBGhyH7RvPSRtjVGwrV5mLV5TR39iRX+hSc/KuGwXIggOmfgdDQMJo6n+LyY38c7fLi1NRK/6AMHcGtA7CpFWQuBn3OgucCODAGrFpAy1WKopd93lAUrXEJN/v1RDr1PuX7DcCRjyFZGs7ee0ObZWdUH2ekjzTigdsvPlJ7znHVoaMr4+uIDz9iUMjLwI5e4LMpPFWplLJUwUesJwqSC6r07WKP8p3j51dhSWVIlRmG3Ykk3urv/XyKJeCsrHeUkV5tpgcP33zB9c+KlM8X9UDAk09PqLetHkkTJsWroxcJEyibjnXYsWHse7BPVWtdqrkuHhNi4OUNcLYLP8g78ApY5NS7cWI9UdYFZrue3D0C65tF7rnDwsIoNf6A6qDSwUFVKZw1jbLEG6j0iMNnLr/bYVsgYxSUi70X4+zjTLNCzZhYeaLBWfD+63vqbKtDQHAAy2ovo2KOigaHUS+AQr7B/DLg7wcN/4HyPfQCw1CUxieALs0L0njSx5MicQq1vwX07t2bBw8e4O7uroI6b9485s+fz507d9SWoQ8bdaFTBNB1wbLp6hABdNP1rbBMZga8vb2ZOXMm0v+mSJGCUqVKMXLkSAoXLiyzJnnFyb7R9HWHze0gZzkOV9lE97XnKZXLgt19q8gLXEgzOQbO3HtD22VnSJQwgarOcaEsUW/NmJzB2hp0YjYcnvAjYB6RmjRnOeh5WFvpv+wv+7yhKFrjE27268mkrBD8FQb4QPp8RGSosCuQgc2/iw8c0oj+Oa39hTG1yCiydhjfH7ohI17XBO4dhWZLoXRbRZGK9URRelXCzX5NiaA4InNPwsQw9rUqw0lAUAiW48JTnkuHkdIkN/4SIc2dT3Hx0XuWdLShnlXUm5EXXlygy74u5E6TW1X7Venn5JOT9DrUi3TJ0nGk1RGSJDJ+fpXmzGjkuw+Dc8ugWCNou9EgYIv1RHk3mOV68tIXnG0huQWMeMTrT4GUm3RIWkK4MbEeyZOYZ5nCVks88XrwjoXty9CoVI4og0+6fS7dQh9kM4huVt2UH5gaaJh6diqbfDdRKUclltZeqoEEE+wSkW0hVZbwg1FJkpugkeqbFJ8A+pdvX7DdZKu+cBlbnm1/lpRJUqol8dKlS6qLfw8fPlTdPLe2tkZK4T527Fi1+ptyIxFAN2XvKm+bCKArz7HQIBjQKwOybzQfnobV9SBDQVwr7WLY1stUK5KZtd0q6NVOodw4GOix9jyHbryglmVWVnQuZxyg9YVyWw+44go1xkLVoRBRO/o/N6uUgCf7vKEESCFT5wzINi5mF4cPT6CnB+Qsy9Jjd5m615em1jmY27aMzu0yVIV2Uw7z/MNXtveuRNk86Q0VpsBljAwsLA+vb0HnfyF/VUUtkG3eUBSlEK4PBmQfG98CYPL3gPL3DCd+b79gP8ODZIkT4utUzyRu30S8S09uZkUH27xRXLfn3h5GnBhB+WzlWVVX2WxFkuKQ0BBqb63Nq4BXzK0+l5p5wzO1icfIGQj8BLMtIfADOO6AgoaRaU72OcPI3STg/2BAq7Hx1R+m5QkXNuoZ559+peWS0+RMl4JTIwxj7OvD1302XmTPlWf83bg4XSvnjwKh9b+tufH2BvMc5lEjj2Fy9PjjYxruaEhoWChbG2+laIai+qDRcHSGhoYfFJHe/2tNgCoDDQebnpCYYgBdotLGxoaWLVtSt25dVTBdupGeO3duPbFsOGpFAN1wfGGMSEQA3Ri9JjDrhYHQ0FBV2pOXL18i/fvnp2pVZT8+amOwVpuJmBRHnNBNkYHlFQ8z2f2GCHpo4yAz63vn5Sfqzj1OSGgY/+tpR8WCUdOBmRkdvzbXuSK8vA7tXKBoPQh4D9O/fygd9RSSRq1FJid3ss8bcoIzAVlmv54srgIvrkCHbVC4FhP+vcbqUw/4s1pBRtQvZgIelseE1ktPc+7+W+a1taaJtf5Tp8pjlZCidwbCwmBKTvj2GfpegEyFFIUk1hNF6VUJN/s15WeKIzOcXIb0ebnw8B0tFptWuakR2y6z2cuPIbWL0K9m1ExoK66sYN7FefxW8DcmV5ms/OADZl+Yzeqrq3HI7cD8GvN1olMoUZiB86vBbSBkKBC+TiRUthSAutaI9URdpjRvZ5brieq9KAd8+wL9LuJ6P6nqkkjlQhnZ2MNOczKNvOf43ddY4/mAXtUL8le9H/szKZW13SY7vgR/YVeTXRRIV8BgLR16bCj7H+ynUYFGTLWfarA4dQIsIpuhlGlh4FVInlYnag1ZSXwC6MaSwl3ie/HixcyZM4c6depw+/Zt9u/fb8hu0Bk2EUDXGdUmqUgE0E3SrcIouRk4c+YM7du3V6VBkRbOn58ECRIQEhIit0rZ5Mm+0fz4Av4pAgkSMr3CKRYfu0/Xyvn4u3EJ2TALQabNwNidV1l/5iHFsqXBrV8VEicyjI8yBsV6cFB4nejQ4PANTrrvJ0al0/HSKfneZyCLpWKQZZ83FENqfILFegKs/Q3uH4Pmy6FUa3ptuMDeq88Z37g4Xf5zw8H4PCwf4mGuPrheeMzg2kXo/58giXxahCSzYyDKTStlD2NJ3Ir1RNkRJtaU//D7TzH4+Ax+PwY5rNl/7Tl/rL+Ade507OxTWVln6Ej6jH2+OB+9S5dK+Rj/W9T916Qzk3C56ULPkj3pX7a/ThDdfX+XpruakjhBYg61OkTGFOJwrE6IV0qJ9K1jqT08vwJ1JkGlfkppirdcsZ7Em7J4dTDr9WR+WXh7F7rsYebNTCzyuEsH2zxMblYyXhyaUuNFHneYuf8mLW1yMatV6UjTXn55SU3XmiRKkAivDl4GXbrj2utrtN3TlgQkYFPDTVhlsjIlF6lvizSvL6sOz7yh6jCoMUb9vibcMj4BdGOiQbIre/bsBAcHs27dOtq0aWNM8BXDKgLoilFrFoJFAN0s3CyM1JYBqW5IkSJFmDBhgmohkoLmPz8WFhbaqlCsv+wbzeBAmJRFhXd8cXfWXHwf4w0IxQwSgo2egXefg6g+6yj+Ad+Y2KQEnSrmM3qbZDfg+VVYUhmSSbXYHqrqeKqeJdIHrcs/bqXLrjhcoOzzhkI4jVGsWE8A1y5wbQfUmw52f9LM+RSXVPVcy1LPKrsxulURzAuP3GbWgVu0KJuLf1r/+HCliDIh1HwYiKz1mS58fVH4EeuJsgSLNeU//EZk73HcCQUd2Hj2IaN3XDWp0kErT97Hye06jUvnYEG7qGVP+h3ux9HHRxlrN5bWRVsrO/h+kt7OrR1X31xlePnhOBZ31JleoUgBBvy8YGUtSJwcBt+AlBkUUKKZSLGeaMabur3Mej1Z3RAenoQWK+lzpQB7Lj9jTENLetgb7u1qdf2qabst5/0YHkO5xnPPztH9QHfypMnDnuZ7NBWvs34jT4zE7Z4bJTKWYGODjSRKaIY17e8egfXNQKqjLV3OSCUOusX1zcvYg62dOnViz549PH36lGTJkuns782QFRm7Tw2ZW3PAJgLo5uBlYaPWDKRKlQofHx8KFVI2zaXWQGMQoMhGc7KU4uozo/OsZ+OtRDg1tcLRLmoNPiVsETJNh4H1px8wdtc1LFIkwWNodTKkSmo6xslhiY8L7Pgd8lSEbvt+SHTpCDf+hfozwPYPOTTFKEOReUMxtMYlWKwngNtgOL8Sqg6HGqOpNPUwT/2/sqN3JcqIWt+RA3q3z1P6/+8S5fOlx/XPSsY10AVaw2XgzmHY0ByylIDenorjFOuJshSLNeU//K5uAA9PQcvVYNWcuYduMffQbdpVyMPU5qZxk3DnpScMdPGmUsGMbOoZNb1wy90tufnuJotqLqJqLt2VGNvsu5nJZydTLEMxXBu7KjvohXRlGdj+B1zeDKXbQ7PFyuqKp3SxnsSTsHg2N+v1ZFsPuOIKtZ1oeKEM155+YHmnctQunjWeLJpOc4+bL+m62gvL7GnZO8A+0rAtN7fgdMZJtcZIa42hP68DXtN4R2M+ffuk88NlBsPNmkbw4ATY9oL60wwGlr6BmOoNdInX2rVrY2lpyfz5orROxDgTAXR9/8UZt34RQDdu/wn0OmKgRo0aDB8+nHr16ulIo3xqFNlozi4BHx4zIuN8Nj/JxKL2ZWlYStwalM9rpi9JqoHeaMFJbjz7QHvbPEwx4/RoMXr74Dg4NQ/K94CG//xosn80nF4Idn2g3hTFBooi84ZiaI1LsFhPgCOT4fgM1fgOqT+LomP2EhwaxpmRNclmkdy4HKogWh+/9zRZdIosaZJxbnQtBTUJ0WbFwMX1sLsvFKoFHbcpbrpYT5SlWKwp/+F3cwfwdYOGs6F8d8bsvMKGM4/oX6MQg+sUVdYZOpJ+4var/7N3FtBVHU0c/xEDghWH4u4uwd3dPbg7xb7iTotLcQ1uheAOwYIEKyEBSiC4W5BA/Dt7H6F43kvuzbPdczhN83ZH/rPZeffOzgzOS86QLXk89vb7Mkheal0p/AL82FxnM1kSftkfXUvxBM/yG8oTFBqkBNBFIF0OM0TA/wWINgghAdDxIKQubFJKSH+irTms2p/sGw7uswhz6kbuk+V4FxjCgd/KkDlZPG1BN2HqXg/8qDnrOEnixuTssP+eQyZ5TGKl90ql2oioOmIOY/WV1fxx5g/iO8Rne/3tJIplOpU1NMfv7hlYUhls7KHPRUiQWnOW5sLAEgPoL168YN++fbRs2RJvb2+yZbOM775q7CkZQFcDReulIQPo1mt7qbkBCGzZsoVhw4YxcOBA8uTJg729/Rer8+bNawC16J2qyYPmvFLw2JPBjqNZ/yILazo5USJTkuhVTHIzewTO+L6gyYKTSnXy7T1LkTuV6bZCiHawVzUEnwOfXgB/4n9mEewaANlrQbPVmomlybmhmbTmRVj6E+DUPNjzP8hVnydV51N0wkFsYsC/46pjZ2tjXgbVUNpX/oHkH7Nf4XBlTDViO1hhyUEN8bVa0m5/gtsEKNga6szWHAbpT7SFWPqUr/Dd2hMurNT19ywzkC4rz7LX6zFj6+bC2UJaBnk/eE2NWce+CWq8D35P0dVFFUDcm7sTzyF6Az+/uf3G/tv7aZWjFYOLDtZ240vqXyJw4zC8ug25G0LMKNj9xCzYPxxS5oPOR/5rIWUieEt/oq0hrNqfnJwLe3/nQ9Y6ZL/UTHkuuTK2GjHtrPe795M3Hyg6XveMdn18DWzFD0D3A905dv+YWWVzB4cG02xHM6VCS4MsDRhdYrS2f0ymRH1NM/h3NxRoBXVNv2JAdEJniQH09OnT8/LlS4YPH86AAQOiE06T5yUD6CZvIpMWUAbQTdo8UjhTQcDG5tsX+qIPelhYmNIPPSQkxFRE/UYOTR40P5YAGmLTlzX+RZWSTqK0kxwSAUMREOWJRZniQukSsqlrceXvSQ502R9vHkL7fZDW6T9I/t0HaxpD8jzQ7bhmUGlybmgmrXkRlv4EuLQBNneCDGW5VHEFdf46QfL4MTk9RGZZf76bxXeMvKP38eZDMHv7liFbiii8FDevPxMprZYIbO8D55ZDud+h3P+05KTQlv5EW4ilT/kK349ZhBTvCVXH03CeO+duv2Rey4JUz2MZ1bIev/6A04SDSjDj+rjq2HwMavj6+VLHtQ5x7ONwqsUpbTfed6gfvXeUHgd7KJl9BxofwF5ku8mhPQJ+92FmPggNgpgJoEh7cOoK8VIYxjs0FGYXhJe+UHsWFGpj2PpomC39ibYgq+lP5s6dy+TJk3n48CG5cuVixowZlC79XxnwH2mybt06mjdvTt26dXF1ddVb4SjvDa8tsLEtb5IVJs+d30idMDbHB1fQm78lThQVA7MM3UVoGJwZUpFk8XVVwmpsrsHdN3dZWnUpRVIUMRvVLz65iPNuZ0XeldVXkj9ZfrORPdKCPvaCeaINWAzoeRaSmF9L0kjrrsdCSwyg66G21U6RAXSrNb0qissAuiowSiKWjsDt27d/qmK6dKbb/zvKDxPf03y9M1zZxojgdqwIrszpIRVJ/vELtaXvBamfugg88vtAhalu+AeGML1pPuoXkCWlEOUTJ2XQAf2/uxDrs8spT6/BnKIQMz78745mmSGanBvqbh2zpSb9CXD9AKxuqFwE2VdmE51XniNf6gRs7VnKbO2qleC1Zh/j8v3XLHQuRJVcBr4M10ooSde8EVhSFe6e0mWhiGwUjYf0J9oCLH3KV/gemwYHR0P+llBvLmUnH+b2c382di1OkfSWUbI1MDiUrMN2K4pfGF6ZhHEclJ/dH7jTZX8XMiXIhGs9/QNPau1QkeFXaWMlnn94zqzysyiftrxapCWdnyEQ3vYphi2EfbzUb+sAeZtAid6QVM/yraLylaiAJYLw/a+AQxyTw136E21NopY/Wb9+Pc7OzoggesmSJVmwYAGLFy9WygmnTZv2h0oI/mJ+xowZSZQoUfQG0O+cgqVVeeuYmtwvJlE6SxJWdvjsEru20Jss9SLjD/D0TQA7eumqBQaGBFJkdRFCw0I51PgQSR2Tmqzs3xNs+InhuPq4Km1G1tZci52NnVnJb7Cwf3cEz42Qsx40cTF4uaUvkAF0S7fwl/rJALp12VttbWUAXW1EJT2JgIkhoMmD5rbecN6FKUGN+SukPtfGWXd5KxMzudmJM9fNh0l7ril9fg8NKEfcmBb+IBORhXyPgUst+CUt9PX8cnbQexj/MYg2yBcctXkZrMm5EZHe8nOTR0C1fXH/PCwqD/FTsbL4LoZv9aJqruQscDatXpumYJAeq8+z0/Mhw2rmoGPpjD8VyeuZF9POTaN7/u4USl7IFMSXMpgaAm8e6SqcEAb9vCFBKs0lVO3c0FxSySC6EdBkb4jqCqLKQrYa0HwtOUfsUS5pug0oR/okphcQjCzmeUft5fWH4C969G65voUR7iMomaok8yvNjyzpKK2b4jEFF28XKqatyIzyM6JESy7WA4GANzAtFwT4QbM1ugUnZsLd0/8tzlodSvaGtMV/fvF2bQu4tlOXvV79Tz2YR/8UTc6M6FfD4jk6OTlRsGBB5s2b90nXHDlyUK9ePSZOnPhd/UVFx7Jly9KuXTuOHTvGq1evojeA/vI2zMxLcAwHMr9fRqti6RhXL4/F2yoiBWvMPIb3w9csa1uE8tmTcfPVTepurYujnaNS6cTcqgc+f/+c2q61eRP4ht+L/k6LHC0igsB8P3/hq6sqEhYKXY7qWnPI8QUCMoBuXRtCBtCty95qaysD6GojKulZNALi1uydO3cIDAz8Qs86deqYrN6aPGjuHwknZrA4uDrTbdriNaaayeovBTN9BAKCQ6g6/Si3nvvTpUxGfq+Rw/SF1lLCU/Nhz+BPL3+/YTUlK7x9DJ3d4NcCmkiiybmhiaTmS9Sq/cnLW7pyo3axmVTYjbluN2hTPB2j6+Y2X4NqJPmfe64yz+0GzsXSMbbez/EJz6oQ5XM31t5IMsdkGkklyZotAmcWwa4BkLoodNwfLWpIfxItMCuZffIZBfDeChtaQ5pivGu1k1wj9yoGuDy6qkVd0KwwxY2bz96xvnMxnDImVnScd3Eec/+ZS8MsDRlVYlT0bLyvuPz78l8abmuoZPWJ7MSEsRIaRQ6rYRr+zJA4M/TwgPC2c3dOg/ssuLpTd2FKjNRFdBnRZopPAAAgAElEQVTp2WuCzVd9nV/dVYKHSqClxxn9s9ajGWjpT6IH8Kj4E/GezNHRkY0bN1K/fv1PAvfp04eLFy9y5MiR7yoxcuRILl26hOjD3rZt2wgD6AEBAYh/4UPsjTRp0uDn50f8+JFoLRgcAON035vzf1hAz5pFI7y4Gj3WMC6XtsvO4HbtKZMa5qVJkTQcvHOQvof7kjNxTtbXWm9c4SLJff3V9Yw7PY549vHYVn8bSWIniSQlE1+2vS+cWwaZK0Grv01cWOOIJwPoxsHdWFxlAN1YyFsGXxlAtww7Si00RuDmzZvKA4Cnp6dyy1L0JRUj/Mal1fVAPz4DDoxkU0gZZsTtZ/X9oTTeflZB/tDVx7RffhZ72xjs6VuGTEnjWoXe31VyWy84vwLKDIQKw76dsrgy3DsDjV0gVz1NcJIvqDSBVSEq/Qnw4TX8kUbBY3D2vay/+JxB1bLRvZzsy/b1zlt35g7/2+xJmaxJWdG+6E83ZpPtTbjy4ooyp3DywiyqssjySxNq96dqmZSX1YTbx6HKeCjRM1p0lP5EW5ilT/kKX9+j4FIbkmTjdvPDlJ3sRmx7W7zHVDW7TLmf7ZxG89w5e/slc1sWpMbH3u4jToxgi88WeuTvQdd8XbXdeD+h3nRHU7yfe/O/ov+jZY6WRpPD4hmHhsCsAvDqNtScBkU6fKvys+vgPhv+WQchH4ONiTLpzv98zcE+tm7NoXFwdDKkLw1td5gsdNKfaGsaNfzJgwcPSJUqFSdOnKBECdF7WTcmTJiAi4sL165d+0YJMbdp06ZKgD1JkiR6BdBHjRrF6NGjv6EV6QC6oDQpI/g/p1rAHwxs3YCKOZJrC7gZUB+48R82nrvHwKrZ6FE+M0s8lzDj/AxqZKjBn2VMs1JFRLCGhIbQYlcLxU/VyVSH8aXGR7TE/D5//VB3KSokENrthnT//S2anzLaSSwD6Npha4qUZQDdFK1iPjLJALr52EpKakQEateuja2tLYsWLVJ6Mp05c4bnz5/Tv39/pkyZQunSpY0o3c9Za/Kgec4Ftvdmf0hBZicfyzbZt9Zk7W9OgrVf7sGhq0+UQJFLuyIW9aLTIDssqgD3z0GjZZC7wbdLw3tZVR4DJfsYRFrfyZqcG/oyt/B50p+IZKgwGJsUQoPolWIl22/ZMq1JPhoUTG3h1jdcPfcbz2ix6DTpEzviNvDH/WRF71mn1U4EhgZib2NPUGgQXfJ2oWeB6AmSGq6ZXBHtCLx5DFNFL9ww6HsZftFdYtF6SH+iLcLSp3yF7yNPmF8K4iTjXJPTNJx3kjSJYnNsUAVtDRHN1LusPMter8dKZRJRoUSMzvs6c/LhScaVHEfdzHWjWaL/2K25soaJZyaSI1EONtTeYDQ5LJ6xlytsbAOxE0E/L3Bw/LHKb5/A6QXgsQg++OnmOSYBpy5QsA0sKK2rbtV4OeT6L2vY1DCU/kRbi6jhT8ID6O7u7hQvXvyTwOPHj2flypVcvXr1CyXevHlD3rx5lX7p1atXVz4zSga6+HY0ryQxHl+mbeAghvfrY90X+j9aadKeq19UCguvdiXaRXXL103bDakhdc+nnrTc1ZIwwlhebbnltb7aN0x3eSpNMeigq8Qjx7cIyAC6de0KGUC3Lnurra0MoKuNqKRnkQiIm7CHDh1SvtwnSJBACaBny5ZN+Z0Iol+4cMFk9dbkQdN7G2xwxiM0K7PTz4kwK85kwZGCmRQCvs/eKaXcA0NCWdS6MJVzWuGt79BQmJgKgvx1pRiTZv3WRgfHwrEpULgD1JqmiQ01OTc0kdT8iEp/8tFmH1sRdHaczr4XyVnTyYkSmSy0hF4Utun9V+8p+cch7GxicG1cdWxtYnyX2o1XN6i3tZ7Sk3B48eH8fux3YhCDhVUWUixlsShIIJdaDAIei2Fnf0hVCDodija1pD/RFmrpU77C1+8eTM8FNvbsqe9J19XnKZD2F7Z0L6mtIaKZ+u+bPVl75g59K2WhbyXdd8U6rnXw9fNlcZXFOKV0imaJ/mP36sMrym8sj7jY9Xedv8ma8DvfZY0mnQUxXlwJ7nlAmUFQYah+igW8hQsr4eQc8LurWxPDFsJCIG5yXSDe1l4/WkaYJf2JtqCr4U8MLeEuss4LFCigJKuEj1DxPIzoSGCjZKxnypQpQsXV2BsByxsQ89ZB/hfUiTGjJ+FgZxMhX0ufsPyEL6O2e1MjTwrmtixE692tufDkApPKTKJ6Bt2FB3Mdo9xH8ff1v8n8S2blspe4gGwRw/8FTM8NQe+gxUbIWsUi1NJCCRlA1wJV06UpA+imaxtzkEwG0M3BSlJGoyOQMGFCzp07p2Sfiy/wixcvpnz58ty4cYM8efLg7+9vdBl/JIAaDxPf0PY9Bi61uB6aijk5VzOjmTZ9mE0WVCmYZgiE9/tNm8iRff3KEMv+qx59mnE2EcLPb8DsgmAXC36/D7Z23womyruLMu8a9rPS5NwwEYiNLYb0Jx8tMLc4PPGmQ+hQDgbm4lD/smS05tYNP9iYIaFh5Bi+R7lYdGxQedIk+n6G2W7f3Qw6Ooh8SfOxqsYqwl8KJY6VmE11Nllufz9j/0GbE//lteDWMag8Fkr2jjbJpT/RFmrpU77CN9AfJqRUfrm20il+33GTKjmTs7B1YW0NEc3Up+67xuxDPkr2uchCF+3FnNY48T74PTvq7yBdfF1WurGG6JEreuW2zdWW/oX7G0sMy+UrepwvrQK2MaHfZYir692s9wgJApHB7j4TRNUGMX7UOkpvotpPlP5EW4zV8idOTk4UKlRIySoPHzlz5qRu3bpMnDjxCyVEQMPHx+eL3w0bNgyRmT5z5kyyZs2Kg4NDhIqrsTeerOpMMp/1LLFvRoehCyLkaQ0Tdl56SI815ymSPiEbu5agzLoyvAx4yYZaG8iROIdZQyAue9VyrYVfgB8DCw+kda7WZq3PJ+Hd/gS3CZA8D3Q9JvqOWoZeGmghA+iRB7VcuXLkz5+fGTNmRJ5INK+UAfRoBtzC2MkAuoUZVKqjDQKiRLvINK9Xrx4tWrTg5cuXiC/2CxcuVALrly9f1oaxClTVeJj4RoxHl2F+SZ6GJWBu4d2MrJ1LBUklCYkAvAsIpsJUNx6/DmBAlaz0rJDFumD5WN2BlPmgy9Hv637zCKyoA4mzQK+zmuCjybmhiaTmR1T6k482+9iLuVdgT7aHllD60zo6fOfCiPmZWHWJxZl48+k7Vnd0omTm72fpzzg3gyWXl9A4a2NGFB+hBFFa7GyBzysfJRNxQaUF2NpY2YUk1S1hxgTfPoWpWSEsFPpcgoTRF1yT/kTbfSN9ylf4ihYh45Ir/Z4XF9rGuBNvaeGUlgn182hriGimvuyEL6O3e1MzT0rmtCyoBABKrSulSOHR0oNY4iKmEcehO4foc7iPcnlrf6P92NlI/66qOda3givboYAz1P0r8qTF38tNN10QvWhnsDfuvolIEelPIkIoap+r5U/Wr1+Ps7Mz8+fPV8q4i3dmohWil5cX6dKlo3Xr1kqf9K+D6eHS61PC/WtN1dgbl1cPJvf1+RyMU5OKA9dEDUwLWX3G9wVNFpwkXWJHtvUu+MnPnG5xGkf7n7SNMBP9N/27idEnRxPHPg7b6m0jmaOBl5FMTU9RZWRGbnj/EhothdwNTU1Ck5JHBtAjb46vA+ji/48cOaIQFJeeREWTggUL0q5dOxo0+E5byghYC9tMnjyZzZs3c/PmTRwdHZWExsaNG9OpUyfEhS9DhwygG4qYnP85AjKALveDREAPBPbu3cu7d++Ug18c3rVq1VL6NyVOnJh169ZRsWJFPagYZ4oaDxPfSO53H6bnJDDMlvmlT9H7Y+lA42gouVoaAlsv3qfPuovEtrflYP+y/PpLbEtT8cf6HJ4IR/6A/C2h3n+39r9Y8PIWzMynyzoZ+kjUt1MdH03ODdWlNE+C0p98tNt6Z7iyjeFBbXG1r4HnqKrmadBokLrdsjMcvvZUCQCJQND3RvcD3Tl2/xjDnIbRNHtTZcrNVzdptrOZEkzvkb8HXfN1jQZpJQuTRODsUtjRD34tAJ3dolVE6U+0hVv6lO/gOyUbvH3E7CxLmeoZiz4Vs9CvsmWVEd/2zwN6r72AU4ZErO9SnGsvrtFoeyMSxUrEkaa6F5jGHEEhQVTYWIFXAa+YV2kepVLpgvtyqIDAi5swq6Do2AzdT0Ey884CNQQR6U8MQcvwuWr6E5F9PmnSJB4+fEju3LmZPn06ZcqUUYQSgZb06dOzfPny7wpprAD6bpeJVPf9g2vxS5Ltt12GA2iBK249e0e5KW44OtiypmcKnHc7k9wxOQcaH7AIbUPDQmm1qxWezzyVkvSiNL1ZD9GeY+8QSJQRep4FeXn6p+aUAfTI7/bvBdBFxZAxY8YQFBTE/fv32bJli3L2izNdXKTSd7x48YJSpUoh7DN27FilookIyotqJWvWrKFkyZL06NFDX3Kf5skAusGQyQWfISAD6HI7SAQiiYA41MWtpxgmXhJHkwfNr8ojNi9lPQ/ukdwucpkBCIgylE0XnOLMrRfUzJuSOS3ESyIrGeEZJVUnQPEffCkMCYZxyXT9Cn+7CvF1pUrVHJqcG2oKaGG0rNKfbO8D55YzLagRe5K0Zl+/shZmVfXUGbXNi+Xut+hSNiO/V/++v620sRKP/R+zovoKCiT7r63KVp+tDDsxDJsYNkpf3CIpiqgnmKRkPgi41AHfI1BpNJTqG61yS38SrXArzKzSp3wO85xi8PQK01JOZpZvKqXEuSh1bknD3ecZLRafJkuyuOz/rSxH7h6h56Ge5EiUQ+nlagpjwukJrL261jKCEqYAaLgMuwbCmYWatnIyJXU/l0X6k+i3jDX5k7/mz6HnoyE8i5eDJP1PRT/YJshRVAfMNXKvItmfbQMYd3okTimcWFx1sQlKGzmRvJ570XxHc8IIY0mVJRRNWTRyhIy9KjhAl2Tx5iHUngWF2hhbIpPnb4kBdBHYFm1mbW1tcXFxUQLPIgjdsmVLevbsyaZNm0iWLBl//fUX1atXV2zk7e3NgAEDOHr0KHHixKFKlSpK4FtkkYshkgm7deumZIPHixdPmbt9+/YvSrj/qKT7smXLaN++Pfv376dSpUoKPU9PT/r06cPJkyeVzPKGDRsybdo04saNq3zetWtXVq1axbVr15RqJV8P8b44MnEYGUA3+T9JkxZQBtBN2jxSOFNBQBz4ogeTcBafD+FIevXqxdKlS01F1G/k0ORBMyyMwNFJcSCIg9UOUbFYIZPVXwpmngh4P3hNrdnHCA2DNZ2cKJHp+2WLzVO7n0g9qwCIzBJnV8hU/scTZ+SBV3eg/V5IW0x1GDQ5N1SX0jwJSn/y0W4HRsPxaSwLrsqhDP1Z2cHJPA0aDVIvPe7LmB3eVM+dgnmtvvW3n5fuPdn8JHEddA+f4WPo8aFsu7GNZLGTsbHORiVDUQ4rQuDdM5giyreHQO+LkChDtCov/Ym2cEuf8h18l9WA2yeYHP935jzJw/xWBamWW/3Lhtpa9ufUrz56TbUZx0gUx4Hzwyuz7uo6xp8eT/k05ZlVYZYxRfvE2+uZl1IFJaZtTNyauH3jm0xCSHMTQpTlnZYTgvwjflYwN930kFf6Ez1AisIUa/cnPaYsY87bvgTESkLM/92IApKWtTTXiD28CwyhXa0rbLrhQtNsTRlWbJhFKTnu1DjWX1tPxgQZ2VR7E/a29uan3zkX2N4b4qWEPv+AXUzz0yGaJTYkgC6CtmHv30ezhDp2MWLH1jtgLALZ58+fZ9CgQTRt2hTRUmPkyJFUrVqV+vXrKxVARHB8w4YN3LlzBz8/P/LmzauURRftNd6/f8/gwYMJDg7m0KFDCv/u3bsrAXMR90iRIgVDhgzBzc2NDh06fOqB/qMAemhoqBKIb9asGaIyib+/P1myZKFYsWKMHj2aJ0+e0LFjR6VCiahKIuaLSr9CdtEGRM0hA+hqoml9tGQA3fpsLjWOBALi9pYoPyVuan0+nj17pjgQ4VxMdWj1oPl8dAYSh73gYo3t5C+qK8clh0RATQSGu15m5anbZEsej529S2Fnq36pcjXljTKtwHcwQdywDIMBPhA36Y9JLq8Ft45B/YWQT1euWc2h1bmhpozmSkv6k4+Wc/8L9g3FNaQEJ/L+weTG+czVpJrLffDKYzq4nCVnyvjs6lP6G34ejzxov7c9qeKmYk/DPd987h/kT/Odzbnpd5OSv5ZkbqW5Ska6HFaCwLnlICo+pMwHXY5Gu9LSn2gLufQp38F3XUu4uoMp9l34601Z/u5WnELpLOvi0NM3ARQZfwBRCM1nfA1mX5jJkstLaJ69OUOchmi76fSkLl4219taT/E9o0uMpkEWw3tg6snKeqYdmwYHR0Py3ND1OMoGsKIh/Ym2xrZmfyLOq1IjNnDCtjNhxCDG8KdgjkFUDbZIucmHufXcn7Kld3H+2VEGFxlMq5ytNOBkPJLiMnId1zq8+PCC3wr9Rrvc7YwnTGQ4h4bAX4V1iRg/q2QYGdoWvMaQAHqovz/XChoncSzb+XPYODrqZQkRyA4JCeHYsWPKfPFzggQJlHa0K1asUH736NEjUqZMqWSA79q1i9OnTyNaeISPe/fukSZNGiUD/Ndff1UC2mKtCGqLISqTpE6dms6dO0cYQBfzRbA8UaJECq9FixYpAfq7d+8q2e5iiN/Xrl2bBw8eKP8vYiwiI71fv36fZBJl3IU8Yoi5a9eu1QuPzyfJALrBkMkFnyEgA+hyO0gEfoKAcKjiy7Qo1X79+nWSJv0voCUckbiF9b///e/TQW+KYGr1oHljVG4ycZfbtdaRrrCu9IscEgE1EXj5LpDyU9145R/EqNo5aVsyerPm1NRFL1r3zsHiChAnGQy8/vMlW3vAhVVQbgiUG6wXeUMmaXVuGCKDpc2V/uQri15cA67dOBqSB4/SS+hfJZulmVw1fa4/fkPl6UeJG9MOz1FVvrmBvsp7FX96/PnTzMPrL68rQfSAkAD6FOxDxzwdVZNPEjJxBFbWhxuHoOIIKN0/2oWV/kQbyKVP+QmuH78jTQ9txszAOhwZWI50iXUv6SxlBIeEknnobkWds8MqMeXCSHbe3GlyL/4Xey5m5vmZFEpeiOXVvt/v2FJsorkewYEwM6+uPG+9+ZC/ueYsTY2B9CfaWET6E3jk94HiE/dzLWYbHGKEQD8vSJBaG8DNjGrj+e543HpJ5gLzePzhNvMqzaNUqlJmpkXE4rr6uDL8xHBi28VmW71tpIiTIuJFpjLj8t+wqT3ETgh9L0PML6uRmYqYpiaHpQbQc+XKxZw5cz7BnS5dOqV8+8CBA5XfiRiHjY0NW7duZcGCBUp5dVHq/fMhqu2KwLYIoOfPn5/bt2+TNm3aT1MKFChA2bJl9QqgOzk5KVnoO3fu5LfffuPChQscPnz4Ey2RBf/LL79w5MgRsmXLpgTQRZZ8377/tR0T2fKBgYFK8F3EYlxdXQ3eTjKAbjBkcsFnCMgAutwOEoGfICCcys96a4jPRNmRoUOH6o2jKFsyefJkJaNdOLYZM2ZQuvS3GWVfE1y3bh3Nmzenbt26BjkLLR40hcP1GFmMojZXeVVrMb8Ubqy3/nKiRMAQBFadus0w18vEj2XH4QHlSBzXgktRhZfdylgOWm/9OUxHJsPhcZC/JdSbawikes3V4tzQi7EFT9LCn0Q3XKrui3/3wpomXArNgGfNrbR0sqz+tGra5kNQCNmH6zLLzw2r9M05OOLECLb4bKFrvq70yN/jh6z//vdvRp0chW0MW5ZVW/ZFr3Q15ZW0TAgB/xcwObOufHuv85A4U7QLp+q5Ee3Smy5DLXyKJTyjKBbbNwzcZ7MwuCYTglviNboqcWLama4xIylZgTH7eOkfxL5+ZZhwoRfnHp9jUplJSs9xUxmP3j2iyqYqSm/Z3Q12kzqeDEhF2jYX14Jr14/leS+B3ZcvuyNN14wWSn+ijbG08CfaSPpjqlHdGydvPKf5olOcit2HFGFPocMBSFMkutUwSX49Vp9np+d9fsk5kpCwIHY12EWaeGlMUtaoCBUaFkqb3W24+PQiVdJVYWq5qVEhF31rw8Jgfml47KlZckX0KRO9nAwJoJtTCXcR8BZxhvCRPn16JRj9eUBaxDK2bNmiBNBFH/I///zzG/BFlrpIJBTB8sgG0EWwWyQitmjRQum7LrLK//nnn0/l4QXT8AC66MFesmTJn5Zwb9u2La9evTIoJhKumAygR+/fl6VxkwF0S7Oo1EdVBMQNKOEoK1SowN9//62UHQkf4oaWuMklbmTpO0T/EWdnZ6X3h3AMwlktXrwYb2/vL25zfU1POCsxP2PGjIoMhty2iurDxPd083sfxOkJValie46gGtOwL9pBXwjkPImAQQiEhIZRe/ZxvB++plmRNPzRMK9B681q8q5BcGYBFO8JVcf/XPRLG2BzJ0hXCtrtVF1NLc4N1YU0M4Jq+xNjqK/qvrjrAUsqcTc0Kf82P0HFHMmNoZLZ8Cw24SCPXn9gc/cSFEyb8Au5m+5oivdzb6aVm0bldJV/qJP4PvO/Y/9jl+8ukjsmV3r8/RLrF7PBQAoaCQTOr4BtvSBFHl25XyMMVc8NI8hvqizV9imW8oyi2OvYVDg4hg3BZRll0x3vMdVM1YxRkqviVDduPH3Hmk5OjLnYivtv77Oi+gqTuxzVaV8nTj08Rff83emWr1uUdLbaxUqApBQ8vgwVR0Lp36wSCulPtDG72v5EGyl/TjWqe2PtmTv8vtmTA/HHkjnwCjRZCTnrGEMVk+M5apsXLh7niZt5Eg42DpxpeQZbG1uTk1MNga69uEaTHU0QwfQFlRZQIlUJNchqS+PffbCmMTjEhb6e4GhZLWu0BM+QALqWcqhJ+3u9yH8WQPfw8FBiHZcvX8bO7tvLpm/fvlViEKtWraJJkyaKqC9fvlRKuIu+6eGB+h/1QBd900WvdNFPvXz58hGWcE+ePDldunRh9erVSsn2VKlEi8v/hgygq7lbJC1DEJABdEPQknOtEgHR37xjx46MHTtW6QMSlSFKlxQsWJB58+Z9IpMjRw7q1avHxIkTv0ta3NgSpVHatWun9DEx9LZVVB8mvifUrWfvODOjOU3sjlj1Q3xU9oJcqz8CHrde0Hj+SaXN39YeJcmb2kIDPuF9zevNg/wtfg7QndOwtAokSAP9LusPpp4ztTg39GRt0dPU9CfGAErVffH8BswuyNuwWNzq/C+5UyUwhkpmw7PJgpOc8X3BjKb5qVfgvwfJ4NBgiq0pppRm31l/J2nj/1da7XvKvQt6R7Mdzbj1+hZlU5dldoXZP620YzYASUG/j8CqhuBzACoMgzK6sn3RPVQ9N6JbeBPnp6ZPsZRnFMVkZ5fBjr7sCynEuHjDOTqovIlbMnLihfuFWc3zMfJSbYQ/2N9ov8mVnd1+YztDjg9RMhaFn/pZdbfIIWEFq24chpX1wN5RV1raSgMk0p9ot9fV9CfaSfljylHdGxN3X2HBkZvsSrGQnK/coPokcOpiDFVMjuecwz5MO74Nx7TLyPxLZrbU3WJyMqop0B9n/mD1ldWkj5+ev+v8jYOtiVf7WFIV7p6CEr2gyjg1obB4WjKAvoWiRYsqJdpFzEGUeBel1n18fBAVcEW/cltbW7p166aUcxfBcBHgFhV4RUBcBMY/D6BnzZqVMWPGIPzJ/fv32bx5s1KKXcRTRBKhGP7+/mTOnJkSJUowatQonj59qnwuqvIuX65r9fP8+XPlc1FGXtArXLiw0i/90qVLSgvd3LlzK0F/Q4fMQDcUMTn/cwRkAF3uB4mAHgjEixcPT09PxM2tyA7Rr0OURtm4cSP169f/RKZPnz5cvHhR6ffxvTFy5EjFUYjyKvrctgoICED8Cx/iS4EI/IuyKPHjx4+s+F+sO3/nJWcX9qCz3U4o0RuqjFWFriQiEfgRAn3XXcD14gMKpP2Fv7uWwMYmhmWBJTJLJmWA9y+h8xH4Nf/P9XvzCKZmgxg2MOwJ2NqrikdUX0KoKoyFEVPDnxgLEjX3ReCbFzhMzaB7SOp7l8S/qOOfjIWN1nwHbvyHjefu0a9SVvpUyvKJ3c1XN6m7ta7Sr+9Ui1PYiDMhgiGyK1rsbEFgaCADCg+gTa42ES2Rn5sjAqJ8+5QsEBoMPc9BksxG0ULNc8MoCpg4UzV8iiU9oyjm8nKFjW04E5qNP1PO4O9uZpBBFol91m3VOXZffsTAGimZ79tGOf/PtTqHnY1plav3D/Kn3IZyvA9+z8rqK8mfLILvuJHAwuKXhF+GKtoZaky2eHV/pKD0J9qaXg1/oq2EP6Ye1b3RZeVZ9no9ZleW7eS8uxZK9oXKo42ljknx3XD2LkMPziVWih1USluJ6eWnm5R8agvzJvANtbfU5vmH5/Qu0JtOeTupzUI9erfdYVl1EEH+Ppcgfkr1aFsBJRlA36Ik84ky7aK3uOhLLmIJotJutWrVmDZtmnLpUWShiyC6CIgLP9G/f3+ln/nnpeJFBnp4TENU602cODGFChWiffv2X8Q/xLYSsRURBzl58qQSI2nYsKHCK27cuJ92nYhfiLLyIg7i6+ur9GzPkiWL0tJWlKL/vDqwvltVBtD1RUrO+x4CMoAu94VEQA8EhFMR/0QAO7LjwYMHSvmREydOKLepwseECRNwcXFRypN8PcTcpk2bKgF2cRNMnwC6uMUl+rJ/PdQMoB+88phzq4YxyH4DFHCGun9FFha5TiKgFwKPX3+g/BQ3/ANDmNI4H40KWVgPxdcPYFoOXUB8yEOwj/VzXETAfXwKCP4AvS9Aoox64ajvpKi+hNCXjzXOU8OfGAs3NffFvRdvSTkzNbYxwgj77Qox4uvfDsVY+huT71+HrjNl3780LJiaqU3yfRJlj+8eBh4dSN6keVldY7XeIm64tk22S1MAACAASURBVIGxp8ZiF8MOl+ouyno5LAyBC6tha3dIlgu6uxtNOTXPDaMpYcKM1fAplvSMopjq5hFYUYd/Q1MxNcsKFjgXNmELRl60Ya6erDp1h+alQtnxfIjSmuNA4wORJ6jhyqHHh7LtxjYaZW3EyOIjNeRkgaSfXIG5xYAY0Pu86t/5zQkx6U+0tZYa/kRbCX9MPap7o+r0o1x7/IaDTufJ9M8UyNsMGiwwljomxffwtSd03TUUh0Sn6JC7A30L9TUp+bQQJrxySizbWGytt5Vf45roc2r45apC7aD2fz2vtcDEEmlaYgDdEu2klk4ygK4WktZJRwbQrdPuUmsDERC9ykVgumXLlsotKlE+5PNRp07E/ZHCX065u7tTvHjxT8vHjx/PypUruXr16hc037x5Q968eZVSJ9WrV1c+0yeAHh0Z6JvO3ePC5qmMt18K2WtBM/1f2hsIvZwuEfiEwDy3G/y55ypJ4sbk0ICyxI+lbta1UaG+fgBWN4Qk2aDnGf1E+asoPLsGzq6QSd3ypFF9CaGfAtY5Sw1/Yizk1NwX526/IN3SfCSJ8Rq6uUPyXMZSyyz4bvvnAb3XXqBI+oRs7PrfJbyZ52ey2HOxwUEJ0Q99wJEB7Lu9j1/j/MqG2htIEFOW0TeLzaCvkKsbw/V9UH4olB2k7yrV56l5bqgunAUQVMOnWNIzimLSh5dgQWmehP3CrAI7GFcvjwVY+lsVpu//l5kHr1O+4EPOvp9JvqT5WFVjlUnqevrhaTru60g8+3gcbnqYmLYxTVJOkxRqa0+4sBJy1Iampmnf6MJN+hNtkVbDn2gr4Y+pR2VvhIaGkWPEHgKCQ/Go/Zyk+3tBhjLQZrux1DEpvl4P/Gjk2ha7OD6MLTmWepnrmZR8WggjnpPa7W3HucfnqJCmAjMrzNSCTdRoPvwHFpTRJWD0EperdJXd5NAfARlA1x8rS5gpA+iWYEXj6SAD6MbDXnI2IwREuZAfDVHSRPQpj2gYWh5RZJ0XKFBA6TkSPkJDQ5UfhTwiYz1TpkwRsSUqDxM/Ir7o6E0u7lnGHIdZkK4UtNsZoRxygkQgqggEBIdQbcYxfJ+9o22J9IyqY0EBt+Mz4MBIyFUfGut6/0Q4woMjtWdCochXx/geHy3OjQj1sZIJaviTz6ESl6wmT57Mw4cPyZUrl9KHSvSQimiIvlbNmzdXymC5urpGNF35XM19sfPSQ7JtqkBmmwe6F1TiRZUcP0Tgn7uvqDvnBMnixeTM0Eqf5vU42IOj944y1GkozbI3MwhBUaKwyfYm3Ht7T3k5NKP8DNmb1iAETXjy+1cwOTOEBkEPD0ia1WjCqnluGE0JE2ashk+xpGcUxVR+92B6LgLC7JhXyp2+lbOZsAUjL9qKk7cYsdWLPDn/4VbYWqqlr8bksqZZ3js0LJSqf1fl0btHTCk7harpq0ZecWta+faJspcJCYT2+yCtkzVp/42u0p9oa341/Im2Ev6YelT2xoNX7ynxxyHsbGJwrb0jtqvqQpKs0NPDWOqYFN8nbz5Qfn0lbOz9cKm2koLJraMNx/WX12m8vTEhYSHMqTiHMqlN7Fl1QxvwdoU8jaHhYpPaM+YijAygm4ul1JFTBtDVwdFaqcgAurVaXuptFAScnJyUDHYR8AgfOXPmVAIYEydO/EImcbj7+Ph88bthw4YhMtNnzpxJ1qxZEb1FIhpReZj4EW2RBXzpqCurHSYavTRoRPrLzy0LAbdrT2i7TPcwO7NZfurmT2UZCv7dCTw3QIVhUGagfjrtHAAei6DUb1BJ3XKYWpwb+iklZxmCwPr163F2dlZ8SsmSJRGZI4sXL8bb25u0adP+kNTt27eV+RkzZlT6RxkjgL742E3y7m9GUZtr0NgFcll+NoMhtv167iv/QPKP2a/8+sqYasR20F2uq7SxEo/9H+NSzYWCyQsazMLruRfOu5wJCg3if0X/R8scLQ2mIReYIAIX14JrV0iaA3qcMqqA0p8YFX69mVvKM4qicOA7mKArt7qu0imalcqhNw7mNFFcROux5jzpshzghd0B2uZqS//C/U1WhVnnZ7HIc5EShBDBCDn0QODQeDg6CVIXgY6mWZ5fDy1UmyL9iWpQWhyhqOwN9xvPaLHoNBmSxOFw21TwV2FwiAdD7lkcTpFR6G3AO4qvE20kYEvNA2ROkjwyZMxyzRSPKbh4u5AmXhq21N1iOtVTnvno9ilhspJbFHaWDKBHATwzXCoD6GZoNBMSWQbQTcgYUhTLRyA82DF//nyljPvChQtZtGgRXl5epEuXjtatWyt90r8Opocjo08J969RjMrDxI8s8vvmS1zyOMrOmEMh3q/Q/4rlG09qaDII/LH7KvOP3CCmnQ2bupYgT2oLKDs8ryQ8vgzN10E2XcuGCIf7bNg3DHI3hEZLI5xuyAQtzg1D+Mu5+iEgAh4FCxZk3rx5nxbkyJED0cPwR35EVEwpW7Ys7dq149ixY7x69cooAfTxO70pcqonVWzPQa3pULi9fkpb8ay8o/by+kMwe/uWIVuKePgF+FFqXSkFEffm7sQTL/siMVZfWc0fZ/7AzsaOVdVXkSuJBVX3iAQeFrFkTVP4dw+U+x3K/c+oKkl/YlT49WZuKc8oisJhYQSNToI9wRypeZiyRQy/XKQ3cEacePLGc5ovOkXijOsIjHnR5C9B3fS7SV3XutjGsFV6tSeJncSI6JkB60B/Xfb5+xfyouFHc0l/Ygb71kgiRmVvrDl9hyFbPCmXLSnLW+SAial1Wvx+D2JG7ru1kWDQhO3VF1eVTOzQYEfWV9tH7lQW8O5FT6TeBb2jzpY6PHn/hO75u9MtXzc9V2o8bWsPuLAKslaHFus0Zma55GUA3XJt+z3NZADduuyttrYygK42opKexSJw5MgRpkyZwpUrV5QSpyJIMXDgQL1K5X4OisgUnDRpklJuN3fu3EyfPp0yZXTlgMqVK0f69OlZvvz7JZxNJYDeZeVZvLwvczxmH7CLDcMeWazdpWKmh0BIaBgdXDxwu/aUXxPEYluvUkpfdLMdwYG6TClRarfPJUiYTj9VvLfBBmdIVRg6HdRvjZ6zovISQk8WVj1NDX9iaMndcMBHjhzJpUuX2LJlCxH5lICAAMS/8CH2RZo0afDz8yN+/PhRsmGvtRco6TWKZnZuhlVeiBJX815ce/ZxPO/7sdC5EFVypcDjkQft97YnVdxU7Gm4J9LKiT5//dz6cfDOQdLHT8/mOpuxt7WPND250MgIfPDTlW8XJX+7n4Jkxs2+lf5E+/2ghk8RUlrCM0o42s9GpScJL/Gus5OcBXUXjSxtXH/8hsrTjxIv41yIeUdpw1ExbUWTVrPFzhZ4PvNkUJFBOOd0NmlZjS6cxxLY+Rv8khZ6XQBbO6OLZGwBpD/R3gJq+RPtJf2SQ1T2xoRdV1h49OZ/LeImpIbAN9DzLCTJEt2qmBy/Pb57GHh0ICH+6ZhTYSnlsyUzORm1FChc/5i2MXGt60rqeB8vWGjJ9Ge0RZuamfl17446HIA0RYwlidnzlQF0szehQQrIALpBcMnJXyEgA+hyS0gE9EBg1apVSrZegwYNlLK34mWzu7u7EoAQwe4WLVroQcU4U6LyMPEjiZvMP4n3rXtcjtVRN2XoI7CPbRwFJVerRMDvfRD155zg5rN3FE2fiFUdnXCwszFPLB57wbwSulJxv9+FGDH00+PhP7CgDMRJCgO/bPegH4Efz9Li3IiqTJayXi1/8uDBA6ViyYkTJyhRosQneCZMmICLiwvXrl37BjIxt2nTply8eJEkSZJEGEAfNWoUo0eP/oaOGgF04Ucq3JtDV7vtUKwHVJtgKSbWTA9RqleU7B1WMwcdS2ckPHO8fJryzKowK0p8RTZ7Hdc6vPjwggGFB9AmV5so0ZOLjYjAP+thS2dIkg16njGiIDrW0p9oawK1fIq2Un6fulZ7Qzyn+YzKTZYY93hSfyPJ8lUxhnqa83z+NoBC4w4QJ/N4bOzfsK7WOnIlNu0KIuuurmP86fFkT5SdjbU3ao6R2TIIDYU5ReC5D1T7A4qZSNajkQHV6swwslomw95a/UmnFWfZ7/2Y0XVy0aZEevirCDz7F1pvg4xlTcY+xhJk3j/zmHtxLkGvCjGmxFiaFEljLFGMwld8p+iwr4NycblVjlYMLjrYKHJ8YuraAy6ugvSloe0O48pi5txlAN3MDWig+DKAbiBgcvoXCMgAutwQEgE9EBDZ5p07d6Zfv35fzJ42bZpSgl1kpZvq0OJBs/K0I1x/8gbf2K2JERYCv12F+ClNFQIpl4Ui4PPkrRJEfxMQTEuntIyvn8c8Nb20ETZ3hDTFoMNe/XV4/wr+/JitPuQBOMTRf20EM7U4N1QTzswJqeVPwgPo4jKXaAkSPsaPH8/KlSu5evXqF0i9efOGvHnzKhmG1avr2gQYMwO99KRD1PDbwO/2ayFvM2iwwMwtq734k/ZcZa7bDZyLpWNsvdyMODGCLT5b6JK3Cz0L9IyyAFuub2GE+wji2sdlR/0dJI6dOMo0JQEjILC2OVzbBWUGQYWhRhDgS5bSn2hrArV8irZSfp+6VnvjzYcgvCeUwsnmKgH1lxEzXwNjqKc5T1GRKcvQbThmG06MGGG4NXEz+XP71YdXlN9YnuDQYDbV3kS2RNk0x8ksGVzdBeuaQ8wE8JuXLCP90YhanRlmuUc0ENpa/Ynu3dZbXNoXpWzWpOBSG3yPQv2FkK+pBkibF8nBRwezy3cXAU+q0adwF3qUz2xeCqgg7dF7R+lxsIfSLutg44PEFlU4jTFOL4Ddg4AY0GY7ZChtDCkshqcMoFuMKfVSRAbQ9YJJTvoBAjKALreGREAPBGLGjKn0Kc+c+csviz4+PkoZdnEQm+rQ4kGz8Lj9PHsbiM8vvbD78By6nYTkOU0VAimXBSNw6OpjOricFe0uGVcvN62K6Vn+3JQw2T8STszQ9YAWvaANGX+kBVGuV+UyvVqcG4aoZclz1fInhpZwF1nnBQoUwNbW9hO8oSLDCbCxsVEy1jNlyvRT6NXaF+Imf7bhe6gbdojJ9gshSxVoKTPRItr3687c4X+bPSmTNSkr2hel2Y5meD33Ylq5aVROVzmi5RF+HhoWSvOdzfF+7k3DLA0ZVWJUhGvkBBND4MPrj+XbA6CbOyQ3fjaqWueGiSFtMuKo5VOMoZBWe8P32Tuuz6xNFdtzuu9V4vuVhY6CE9YRlGo89jYOnGt1VmkzZuqj7+G+SsuQtrna0r9wf1MX1zjyLasBt09AyT5QeYxxZDBBrlqdGSaoqlFEskZ/EhoaRvYRewgMDuXowPKkTewIm7vApXVQaRSU+jKBxiiGMTLTpjuaKs8G7++1omXumoyum9vIEkU/+5DQEGpuqcn9t/cZW3Is9TLXi34h/t0La5tBWKjOLwj/IEeUEJAB9CjBZ3aLZQDd7ExmUgLLALpJmUMKY6oIiMC56HfepUuXL0RcsGCB0hf9+vXrpiq66qUzReAj89DdiKwHn5QjsHvpA213QfqSJouBFMyyEZhz2IfJe69hZxODNZ2KUTRDIvNSeFUj8NkPNadCkY9tEfTVYH5peHQJmq+HbNX0XRXhPPmCKkKIIj1BTX/i5OREoUKFlKzy8JEzZ07q1q3LxIkTv5BRPDCIS1+fj2HDhiEy02fOnEnWrFlxcHD4qV5q7YsX7wIpOHY/lW3OsshhGqQqBJ0ORRpTa1nofuMZLRadJn1iRw70L02xNcUICAlQssXTxVfn8tCFJxdovbs1MYjB+lrryZHYuP2zrcW2qukZXtEkcRbo6aF/SxDVBPiWkFrnhoYimjVpNX1KdAOh1d444/uCW0va0sTuCFQcAaUtN0hbdvYSXsSfQdJYqTjUdE90mzBS/A7dOUSfw31IEjsJ+xvtx85G9vb+Asj752FReRC49LkECVJFCmdLXKTVmWGJWEVGJ2v0J/dfvafkH4eU9whXx1bDztYGwi+3O3WF6n9GBkqLWSPe/RVfW5x3Qe94d6Mf1bLlY27LQhajnyGKLPZczMzzM8mbJC+ra642ZGnU5z7yhKXVIPAtFGwNtWeZxHf8qCtmXAoygG5c/KObuwygRzfilsVPBtAty55SG40QmDdvHn379qV9+/ZKr1lxu//48eNK/3MRePg6sK6RGJEiq/aDpug9nW/0PkWWm5mnY3PPA5quhhy1IiWfXCQRiCoC4sGu19oL7Lj0kMRxHNjWqxSpfjFSWa3IKDMtJ7y+D+33QtpihlFY3wqubIfqk8Dpyws+hhH6crba50ZUZLG0tWr6k/Xr1+Ps7Mz8+fOVMu4LFy5U2oqIiinp0qWjdevWSp/0r4Pp4ZhGVML9a+zV2hfeD15TY9YxKjjeZGnoMEiYAfpctDRTq67P5y/5dg/IRoPt9ZQSgqdanMImho1q/AYdHcRu390UTFaQ5dWWm0VGo2rKmzuhdS3h6g4oPQAqDjcJbdQ6N0xCGRMUQk2fEt3qabU3dnk+5N76/nS22wklekGVcdGtWrTxq7Z4Bvftl5Ahbj62NVwVbXyjwigoJIgKGyvwKuAV8yrNo1SqUlEhZ3lrN3WAy5sgb1NosNDy9IuCRlqdGVEQyaKWWqM/OeHzjJaLT5MxSRwODSins2d4mewcdaDpSouysaHKPPV/qpzXMbDh9dUxFEmXlI1dSxhKxiLmP3v/jMqbKistSDbU2hB9l4zfPIJFFXTvizKUgVabwdbeIjA1thIygK6OBUaNGoWrqyui4qEYhr5jUkeKiKnIAHrEGMkZP0ZABtDl7pAI6InAli1bmDp16qd+56JHlMhKF5l+pjzUftC89ewd5aa4EcfBFq9sS+H6XqjzFxR0NmUYpGwWjoB/YDCN5p3E++Frcv0an01dSxDb4b9S1Sarvv8LmJRBJ97/7kCsBIaJunconPwLivWAahMMW/uT2WqfG6oJZiGE1PQnIvt80qRJPHz4UGkpMn36dMqUKaMgVa5cOdKnT69c9vreMPThRq19IVovtF9+lqrJ/Vjg102378X+l+OnCIjKLzmG7yEwJJRxLYP58/wwTbIgHr17RB3XOrwPfs/kMpOplkG96hbSxBoiEPAWJmeC4A/Q9TikyKMhM/1Jq3Vu6M/R+maq6VOiEz2t9oaL+y0e75zAIPv1UKAV1J0TnWpFK6/aK0dzK3QTOeKWZ0PDWdHKOyrMJpyewNqra6meoTqTykyKCinLWvvqLszMB2Eh0OUopMxnWfpFURutzowoimVRy63Nn6w6dZthrpepkD0ZS9sW0dnSextscIbURaHjfouyr6HKeDzyoP3e9iSLlYobF3qRLrEjRwaWN5SMxcwfeGQge27toVHWRowsPlJ7vQLfgWjp8fAiJMkKHfZB7ITa87USDjKAro6hIwqgi3dOLi4uCjM7OzsSJUpE3rx5ad68uRJsF+0EDRmilaFIZFy7dq3ShlDQFO+8ateuTffu3fn111+/S04G0A1BWc79GgEZQJd7QiJg4Qio/aB5/s5LGsx1J3XC2BzPsl7XH6ryWCjZ28KRlOqZOgL3XvpT568TiPLQtfP9yqxm+U0/c/LWcVheExKkhX6ehkN8ZhHsGgDZa0Ez9UqJqX1uGK6YXGGKCKi1L9acvsOQLZ7UzeLAzLuNdKoOfw62soxrRHavMNWNm0/f0biyJ3vurdbsBc78f+Yz5+IcUsRJwbZ625RMdzlMHAHPTfB3B0iUEXqdN5nSjmqdGyaOvhQvEghotTem7rvG8yMLmGC/BLLVhOZrIiGdeSyps7YfvoEHyBOnIWsajTIPoQGvZ14029mMmLYxOdzkMPEc4pmN7JoKGn4xNn1paLtDU1bmSFyrM8McsZAyf4lAZPfGuB3eLD7uS/uSGRhRO6eO6F0PWFIJEqSBfpetGuoN1zYw9tRYCictweGjdXB0sMV7jPVerA2/UCCeiw41PkRch7ja7Y/QUN1FDlFZyjExdDyg+44vh2oIyAC6OlDqE0B//Pgxy5YtIyQkBPHznj17lCqJpUuXZtu2bUoQXJ8REBBAlSpVuHTpEqNHj6ZkyZIkSJCAGzduKFnwv/zyyw+rL8oAuj4Iyzk/QkAG0OXekAgYgMDZs2eVDHRRwl1koIves6Y+Ivsw8SO9wjMH86RKwPbMO+D0PCj1G1SKhhuYpg62lM/oCJy6+ZxWi08THBrG4GrZ6VYuk9Fl+qkApxfC7oGQtTq0WGe4rP/ugzWNIXke6Hbc8PU/WKH2uaGaYBZEyJr9ybT9/zLr4HVaFf2VcZdEFkMYDPCBuEktyMLaqNJu2RkOX3tK/sJ/c+OdB0OchtA8e3PVmX0I/qBkoT9895Du+brTLX831XlIgiojsN4Zrmwzue9k0p+obOcfkLNmn/I1JL9vvoTf2Y3MdZgFaUtA+93RYwQjcKmxvh13P5wlT8wOrGnW1wgSRI6laL9Ub2s9bvrdZHSJ0TTI0iByhCxp1YfXMD0XBLyGFhsga1VL0k4VXaQ/UQXGCIlYkz/p6HKWA1ceM7ZuLpyLp9dh43dP97doYwfDnoKB2ZERAmxGEyZ7TGaF9wqaZW3Joq26ykZeo6sSJ6Z+wS4zUlUvUYXvqru1Lr5+vgx1Gkqz7M30WhepSftHwImZYOsAbbYb3uovUkyta5GlBtA3bdqkBJd9fHxwdHSkQIECbN26lR49evDq1SuKFi2qZHCLYHS/fv0YOnQov//+O0uWLFHmjxkzRmlfGz4GDx6MqE5y7949UqRIQcuWLRkxYgT29rpWAvoE0AVfEeD+fBw6dIiKFSsqLQg7duyofHTnzh169erFwYMHlcz0atWqMXv2bJInT658/scffyjyCj8l9Pp6iL9REa/53pABdOv6+1ZbWxlAVxtRSc8iERCOQpQXOXHihHKjSQzhAEQ/dFE2JE2aNCart9oPmpvO3WPAxn8okzUpKzIeBrcJUKgd1J5hshhIwawLgZWnbjPc9TLie9PSNkUonz2Z6QKwrTecd4HS/aHiCMPlfHoN5hSFmPF1JbB/8GXRUMJqnxuG8rfk+dKfwKBN/7Dh7D1+q5yV3h6V4MMr6H4akmW3ZNOrotuobV4sd79F8lyT8Q99jks1FwomL6gK7a+J7L21lwFHBhDLNpaShZ4ybkpN+EiiKiAgSjxOEuXb35tc2V/pT1Sw709ISJ/yLTgdXTzwv3aINQ4TIGkO6HFKWyMYkXqFdbV5GnCL7PRjY5v/XnYaUSS9WS/2XMzM8zMplLwQy6t9v9WM3sQsYaL7X7BvqK5Mr/hOZMVBux+ZU/oTbTe6NfqTStOO4PPkLSvaF1XebykjJAjGip/lBd8eB3tw9N5RhhcbzqjV8fEPDOHwgHJkSBJH281owtRXea/iT48/yZIwC3/X/lubiofnXGD7xwqfDRZD3sYmjIj5imZIAF0EZoMDQ42irJ2Djd77TLT1S5s2rdLir379+rx584Zjx47RunVrevbsyebNm5WfRZBaxDc6dOhA1apVlRaAjRs3Zv369UoAXWR0h8c5xo0bR4UKFZTS6J6ennTq1InffvuNQYMGKXhENoAu1ubPn1+hu2vXLgTGIkkxTpw4zJgxg+DgYKUke7x48XBzc1N45cuXj5QpUyoZ7IYOGUA3FDE5/3MEZABd7geJgB4IiBIhwrmKvh3ZsmVTVoheG+JWljjc9+3bpwcV40xR+0Fz0dGbjN91hXr5f2VGBg9d9mzOetBE19NEDomAsREQX7yGbLnM2jN3iBfLDtceJcmUVMPyWlFReFFFuH8WGi2F3A0NpxT0Hsan0K0b5AuOiQyn8Z0Vap8bqghlIUSkP4HWS89w9N+nTGqUlybudeHFDWi3G9KVsBAra6fG0uO+jNl1lnjZxihM3Ju7a1b6Vpylou/h2cdnqZa+GpPLTtZOMUk5agh4bYGNbSFheuh9UbXLVFETSrda+hM1UPwxDelTvsWm7pwTBN+7yM6YQyBuChhwTVsjGJF60VUleB/yhnTvR7Cjq3m9YH/07hFVNlUhjDB2N9hN6nipjYikkVmHBMOs/OB3F2rPhEJtjSyQabKX/kRbu1ibPwkJDSPH8D0EhoRybFB50iRy/A/gyVng3ROTu5So7Q74lnrNzTW58+YOS6osYdCqd9x67s+GLsUpmkGddw7RrY8a/PwC/Ki0sRIfQj6wsvpK8ifLrwbZ/2jcdINVDSE0GMr9DuX+py59Se0TAoYE0IMCQljY54hR0Os8syz2MW314n3+/HklCH3r1i3SpUv3xRrRb1wEom/evPmp73j27NlJliwZR48eVeaKEuuiJPrixYtp1uz7FRYmT56sBNpFFrgYUQmgCx6iHLu3tzf79++nevXq+Pr6fgrei9/nypWLM2fOUKRIEWLHjk3nzp2VDPrwIS4KiLViiN7q7u7u38VKBtD12kJy0g8QkAF0uTUkAnogIA5pcQh/XSJEOCfRc+P9+/d6UDHOFLUfNCftucpctxu0LZGeUem9YXNHyFAW2mwzjoKSq0TgOwgEBofSYtEpzt5+ScakcZQgevxYuhJDJjNEX6uJqSHoHfQ4A0l1l3MMHlOywtvH0NkNfv22jJHB9GTAIzKQ6b1G+hOoOv0o1x6/0WV7HG0O9zyg6SrIUVtvHK114sErj+m8cQOO6Rbya5xf2dtor6ZQXH1xlaY7mhIaFqpkCIpMQTlMEIENbcDbFUr2hcqjTUpAtb+HmpRyJiCM9CnfGqHkH4cIe3UX91i9wTYmDHtsUpdK1No2/kH+OK1xUsglejaJI/2rq0U62uh02teJUw9P0T1/d7rls+JWIedXwrae4JgE+nmBfaxos4E5MZL+RFtrWZs/ufvCn9KTDuNga8OVsdWwtfms7O+CMvDwH6tupxAUEkSR1UUICQvhYOOD9Fjhg8etl/zVogC18v6q7WY0cerDTwzH1ceVWhlrMbH0RPWkFdUFW6UJaAAAIABJREFUF1eGAD/I0xgaLLLI7y/qARY1SpYYQBcBcJFRLgLO4r/iYlSjRo1ImDAhIoD+9OlTdu7c+Qm4smXLkjt3bubMmfPpdyLw3r9/f3r31lVBECXhRUa4KAn/9u1bJTM8fvz4PHnyRPk8KgH0pk2bcvnyZby8vJg1axbTp09XAuifDyG7CJiLzHnhp7p06aLIEz5E1v27d++U9eIiwMWLF7+7MWQAPWp/L9a+WgbQrX0HSP31QkBkna9cuVLpFfL5EE6pRYsWiiMx1aH2g6boK7j2zF1d6d20t2F1Q0iRF7oeM1UIpFxWisDTNwHU+es4D/0+UCF7Mha1Lvzlg7GxcXlxE2YV0L3cHfIAbCPZS0w8ZN07A41dIFc9VbRS+9xQRSgLISL9CeQbvQ+/90Hs61eGrAc7wr97oPYsKNTGQqysnRo+T95QfdlEYqXYTrnU5ZhdcbZ2zD5SHnNyDBv/3UiORDlYW3Mttjb63YDXXDDJQIdAoD9MzgRB/tDpMKTSpqR/ZOGW/iSyyOm3TvqUL3ESlTOyDd+DXbA/3rE+ljQX37EcLK/crOgfXte1LmEhMYlxZzyeo8yvZ/b2G9sZcnwIaeKlYWf9nXqXKNXvr8NMZgW8hdkFdZdhq4yDEr3MRPDoF1P6E20xtzZ/cuz6U5yXnCFT0jgc7F/uS3DXNNU9n9SaAYXbaQu8iVIP9zGOdo6canGKnmsusNPzISNr56RdyQwmKnX0iOX51JMWu1rgYOPAgcYHSBgrYdQZv3sGiyvCy1uQphi03iovU0Ud1Z9SMCSAbi4l3IXCQlaRACgq5Yre5Y8ePeL06dNKX/Sve5GXK1dOKaP+eUA6ffr09O3bV/l36tQpSpUqpawVAXmRnb5u3TqmTp2q0BIjKgF0kTEuSs7v2LFDCZKLfyJD/vMh2uiKPujOzs5Khrko+f69Eu5fy/G18WUAXeM/KAsnLwPoFm5gqZ46CGzdupUJEyYot7JEOZQYMWIo5UpE35DBgwdTr546QSt1pP2SitoPml1WnmWv12PG1suNc2rxJa8CJEgL/Ty1EF/SlAhECQHPe340mu9OQHAo3ctlYlA1E+qxfGU7rG8V9Qsof3cEz41QeQyU7BMlvMIXq31uqCKUhRCxdn/yPjCEHCN0Pav+GVmFBHt6wz9roNIoKNXPQqysnRofgkLIP7cj9r+cxTl7BwY59dWO2UfKLz68oNaWWrwJfMPI4iNplLWR5jwlAwMQ8N4KG1rDL2mhzyWTy1SR/sQAW0ZiqrX7lK8he/0hiLyjRGutMHwd2xIjNEiX0ZvA8sqDu993p8uBLoR8SI6/bz+ujatGTDvzuuAksujLbSjH++D3rKi+ggLJ1KmkFIk/JeMtOTQOjk6GhBmgx2mwi2k8WUycs/Qn2hrI2vzJylO3Ge56mUo5krG4TZEvwd3eF84tg7KDofwQbYE3UeqH7hyiz+E+ygXaDbU3MGqbF8vdb5neOxUj4CcClKJC15UXVxhQeABtckXxEnjQB1hRF+6e0rVj6ngQ4iQxgmbWxdKQALq5IiMy0kVGuehZLkqlGxpAF4HyuXPnKj3Rw0fHjh2VrPSoBtAPHTpExYoVWbp0Ke3atftpCXcPDw8KFy7MxIkTGTZsmBKP+bpCsAygm+suNQ+5ZQDdPOwkpTQyAqJkiL+/v1KqxM5OlyUa/rPogf75ePHihZGl/ZK92g+aTRac5IzvC13pplTvdTfmHeLBkHsmpbcURiIQjsDWi/fps05Xxmd28wLUzmciJcfc/gS3CZCvBdSfF3mDHRwLx6ZA4Q5Qa1rk6Xy2Uu1zQxWhLISItfsT32fvKD/FDUcHW7xGVyXGvmFw8i9dxpXIvJIjQgTyLapBqMNdeuYaQ5fC9SOcr8aEVd6r+NPjTxLFSsT2+tuJ7xBfDbKShhoIbGwHXpuhRG+oMlYNiqrSkP5EVTi/IWbtPuVrQG48fUvFqUeIF9MOz7g9dT1sux6HFHm0NYQRqG++vpmR7iMJeZsV/7vtOfV7RVIkML/S30OPD2XbjW3K5SxxScuqht89mF0Igj/IVjZ6GF76Ez1AisIUa/MnY3d4s+S4Lx1KZWB4rZxfIhf+nF6wNdTRvtpTFMym2dKll5cy/dx0qmeozqQyk5hz2IfJe6/RqFBqpjTOpxlfcyG86d9NjD45mrTx0irPRjYxbCInelgYbO6kS4iImQA6HoCkWSNHS64yCAFLDKCLTPODBw8qpdtFb3Px/61atcLV1VXpW25oAF1crBIl4P/P3llAVbV0cfynhInd3SKCrSiKHdjdnc/urof9nt3d+tmdGCg+xe7EDuzGRMpvzbmigCCXe8+Fc+89sxZLhJk9e//3MHPP2bP/WzDyihrkgv5dZKOLwHxUAugvXrxg2bJl0jjxvcggF8FwkQEvdLOwsJAy50XCYsKECaWMeBFz6dq1q/R/UbtdNJFFXrFiRYnyXQTMnZ2dJXr6W7duMXLkSGnMuXPnwl0HagZ6lP481M5hEFAD6OqSUBHQAoEVK1Zo0UvTpXVrPW8faj2Tdh3lftCsNPUIt19+Yk0HR5zSxYaJP+ibRrwGC4XVmNYOIrWXGSAwYc8NFvx3j7hWsdnU2Qn79Ilj3ur1LeHGDv3pGs+vhB09IEdFaLFZFrvk3jdkUcpEhJj7eXLi7huaLjpJthQJONS/LBydAu6joUALqPOr9paJuFt2MwKDAim4sijfY/nTK/diOhTX1L81dPMP8qf+jvrc97lPK7tWDCg6wNBTqvK1QcD/K0wU9O2focMhyKC8GvXqeaKNI3XvY+5nSljkTt17Q+OFJ8maIgGH4w2CV17QeidkLa07yAodOffiXOZdmofFpxK8967Nrh6llPH5Nop4nXp2ig77O2BjZcPhxoeJI0obmUvbLIImGyBzKWizS3EMIkpzg3qeGNYj5naetF9+BnevlxpmxeKZQ4P78/m6ErTYZFjgFSp9pOdItt7ZStf8XelSoAsbznozcNNlyuRKyYp2oUtbKtQEg6olGFTKbyzPZ//PLKy0kBLpSug2n8c/4DEBYltq3uVkC1NOQDep6igtEDDFAPqNGzfo06cP58+fR9gnss8Fc2737t2lGuhRDaALGAcOHChliX/79o3q1atTvHhxKXgdlQB68PkiEhJFwDt//vxSOVwRP4kd+9flk0ePHkn6iksA4ucuLi4SfXvq1Kl/elToIQLsa9eulQLnQUFBZM2alapVq0q2Z8yYMVzvqwF0Lf4o1C4RIqAG0NXFoSJg4gjI/aBZZOwBXn/yY28vZ/KkTgCjk0s0ifS/AwlTmjiaqnnGikBg0HfaLT/DkVuvSGkTh/F1Hahk9+tDWIzYNbMQvL0LLbdC9vK6q3DvCKysBclzQo+zussJMVLufUMWpVQhMY6AHOti24Un9F5/kRLZkrO2U3E4uwx29YZcVaHZuhi3UekK/Kx5G2RF+wxr6FMp+spSeD7xpPPBzljGsmRL7S1kTWze9Q8VsVaCS4Ekzgi9rygy+CLHvqEIrFUlZEfAEGtj1+WnUp3WYlmSscF6FDw6AQ1XQF7lltvSFdgRniPYdmcbNl9r8PRBKVa2K0bpXMb3LBb0PYgqm6vw/PNzJpWZhEsWF10hMa5xj89pSqERCzp5QLoCxqV/DGhriD0jBsxQpzQAArqsjfJTPLj36jOr2ztSKmcYuuzbB+B/DSC1A3Q5ZgCNlS+y9d7WnH95nn+d/6VatmocvvmStsvOYJc2EXt6OSvfgGjQcOzJsay/uZ5KmSsxtawOTICXN2iyz0WrORMKKysZKxogjNEpTDGAHqOAKnxyNYCucAcpXD01gK5wB6nqKQuBly9fIr7EDaeQLV++fMpSNIQ2ujxMRGSMoFTJMWwvIhj5kybwn8zg+x66nVGphhS7ClTFBAI+X/yleuiCQUG0inlS41rLjgxJ40c/QH5fYLygkheXT25DwlS66/DuAczIDyJjZ9hzCHGDU1ehcu4buupg6uPM9TyZ53GXf928qFswPdMaF4DrO2BDS8joCO1F3Vq1/QkBtwduDDgygMCvGXFJNp6pjaL3hXsP9x54PPagVPpSzKuoR+kJ1c3yILC5g4bysUR3qDJOHpkyS1HPE5kBjUCcuZ4pYeFY7nkf153XqeaQhrmxJ8PNPVBjOhRpGz2OiMZZOu7vyMlnJ8kQ0JYbt3MzrXF+6hY0zlrvM8/PZNGVRZTOUJo5FcyAjUZQ9i510dS71beUUzSuuZieSj1PoscD5nCeiPdZtiP24h/4nWODyv3+PuD5VZhfEuInh4H3ogd4hc1SZn0Z3vq+ZX2N9dglt+PqEx9qzDpGioRxODu8osK0jRl1br27JTF0WcSyYH+D/aSKH4V3Oo9OwoqaEOgHJXtBpdExY4QZz6oG0M3L+WoA3bz8Lbe1agBdbkRVeSaJgKihIahFBB2KCCKHbLFixZLqeCi1yfmg6fPVn/yjNAEOrzEuxLWygBkF4N19aLcfMkUPlaxSsVb1Uj4CX/wCmHXoDov+u0dA0HfiWVnQs0JOOjhnxcpCx7pVupj95BwsKg/xU8DAu7pI+DUmMADGpoLvgdDXCxKl1U8eSHRPiRMnxsfHh0SJ1FrHegMaQoC5nyeuO66x/PgDupTNziAXW3hwDJZXl5VBQU5/KU1WcJDB710xHOK0Z1MXp2hV8eGHh9TZXoeAoAApyCGCHWqLIQT8fWFSDvD7CO0PQsaiMaTIn6dVzxPDusXcz5Sw6E7ed5PZh+/QqkRmRn+fCxf/BxX+Bue+hnVEDEivubUmDz48oIDlYI5eScLw6nno4JwtBjTRf8pgdhURhDjY8CAp4oXJBtV/CmVJuLoFNrUFq/jQ47wsn92VZaBhtFHPE8PgGizVnM4T77dfcJ54GGvL2HiNdiF27Fihwf3y9lepwuEvwdKMSkuIxINvPpRaV0rC5FSzU8S3is/Lj74UG+eOgOr2uGpYhMXMsMtTsdJb7W3FhZcX6FagG53zd9ZOz7f3YHFF+PIG8tSEhitlSYLQbnK1VzACagDdvNaCGkA3L3/Lba0aQJcbUVWeSSIgMsxz5MjBoEGDpNobImgesom6Ikptcj5oPnj9mbKTPUhgbcG10T/o9RaWg6fnoel6yG0mlHtKdbaql9YI3H7xkWHbrnL6/ltpTM5UCRlbxx7HbKIkQTS04LpqWctA6x36TzjdAd4/gnb7IFNxveXJuW/orYyJCTD386TzqnO4XXvOqFp5ae2UBV7egLnFIV4yGHTfxLwtvznd3btz5PERfJ/XImlAOU4Pi/4MkKlnp7Ls2jKyJMrCllpbsLKwkt9QVWLkCHjthnXNIFF66H1VsS/e1PMkclfq08Pcz5Sw2A3adJn1Z73pVykXPQKWw4nZ4NQTKo/RB2bFjRUXuh3XOPI14CtVEk1n0ynfXxfTFKetdgo1292MK6+vMKDIAFrlbaXdIGPsJS4/zSmq+dxediiUHWSMVsSIzup5YljY5TxP5s6dy6RJk3j27Bl58+aV6tU6O4dP+71lyxbGjx/PnTt38Pf3J2fOnPTr14+WLVtqbXBU18Z/t17RaulpcqRKyMG+ZX6fRyTNjE0Ngd+g12VIqtz3fVqDFIWOl15dosWeFlJGtXtDd2mkyNrPOWwPQd/h9LAKpLKJGwWJptt1171dDDk6hNTxU+NW3w1LUcv8T+3rO1hSGV7fgnQFoc0esI4BRkTTdYnWlqkBdK2hMomOagDdJNwYY0aoAfQYg16d2JgQsLGx4cKFC1IQ3dhaVB8m/mTfhUfvqDv3OOmTxMNz8I+azavqwV13qDMfCjQ1NnhUfc0YAfHyccv5J4zbc4O3n/0kJBoUzsCQqrYkT2jgW+Z7B8OpeVC8G7iM198Ly2vAg6NQdyHkb6y3PDn3Db2VMTEB5n6e1J7jySXv98xvURgX+zTw8QVMyQWxYsOI1xDbwsQ8Lq85lTdV5tnnZ3x58BeBX7NyY7QL8ayjF7NPfp+osbUGb3zf0L9If1rnVev1yetlLaVt6QSX10PxruAyQctB0d9NPU8Mi7m5nylh0W2//AzuXi+ZUM+Bpr4b4NAYKNgSas82rCOiWfp73/c4r9cEo9pnWMf0Aw9oXCQj/zZQblmxyCBa57WOcafGYZvMlo01N0bW3Xh/f2waHHQFm3TQ4yxYJzBeW6JZc/U8MSzgcp0n69evl4LfIohesmRJFixYwOLFi7l+/TqZMmX6zQgPDw/evXuHra0t1tbW7Nq1Swqg7969mypVqmhldFTXxsoTDxi5/ZpU0m1x6yLhzzE9H7x/KNsFda0MUUinHXd3MOzYMIqlKcaSKkt+alV03EFeffzGrh6lsE+fWCHaxqwa3wK/UXFjRd5/e8/McjMpl6lcxAoF+sPqenD/P80F2I6HwCZNzBpgxrOrAXTzcr4aQDcvf8ttrRpAlxtRVZ5JIlCnTh3pIaB+/fpGZ19UHyb+ZOAhrxe0W34Wh/SJ2dlDQ+nEpvZwdRNUmQAluhodPqrCKgLvv/jxr9tN1p5+JIGROJ4Vg6vaSi8if6Nzkwuu4IB37TlQsIX+Urd3gwurodwwKDNQb3ly7ht6K2NiAsz9PCk+3p3nH3zZ1q0kBTImgQA/GJtS4+WB9yF+MhPzuHzmhKRT5OEYPn6xYl/v0uROYyPfJFpK2np7KyOPjyShVUJ21t1p+nS7WuISbd0Cvmno2799UHwJHfU8MeyqMPczJSy6tWYf4/JjHxa3KkLFz7tgd1+wrQFN/mdYR0SzdK+3XjTc2ZBkcZPxV5ZVDN16hYp5UrG4tTJLOWgDj7gUUG5jOalEyKaam8idLLc2w4yrz6dXMLOgpvRG3QWQv4lx6R/D2qrniWEdINd54ujoSKFChZg3b95PhfPkyYOQP2GCdhf+xPjq1aszZox27CFRXRujdl5jmecDOjpnZVh1u/CBXVIFvE9Cw+WQt65hwVeY9OCSUY1yNWJEiRE/tas24yjXn31gWduilMsdhXrfCrNPbnWmnJ3C8mvLKZW+FPMq/lr3oeYRrAY7e4JgIrROCO3cII2D3Kqo8qKAgBpAjwJYJtBVDaCbgBNj0AQ1gB6D4KtTGw8Cr1+/lmqgFytWDHt7e6ysQtOV1qpVS7HGRPVh4k+GbDr3mP4bL1E6V0pWtium6bq7H5xZDKUHQvlhisVBVUxFIDIEzj96x7CtV7nx7IPUtVCmJIyt44BdOplrgIuHp4nZ4Otb6OShoe7Stx2ZBIfHQoHmUGeuvtLUGuh6IxixAHM+TwT1X67heyUKwFNDK5A60Q/qvwkZNYHA7ucghfExvRhwuYQSffb5Wdrua0u6BOmwfjaCK098WNiyMJXzRn/mQtD3IJrubsr1N9epn7M+rk6u0QWDOo9A4KYbrG2syWDsc02x9O1CVTk/h6rO/x0Bcz5TwlsPThPceerz45KWzyFNnenMJaHtHpNaPh7eHvQ41AO75Ha0yzqDv1ado2CmJGztWtKo7ex9uDfuj9xpbdea/kX7G7Ut4Sq/szecW6b57N/hkKL3biWCr54nhvWKHOeJn58f8ePHZ+PGjdSt+yvo3KtXLy5evMiRI0f+aIRgiDt06BDi/dq2bduoVKlSuP2/ffuG+ApuYm1kzJgRHx8fEiWK/Nm93fIzHPJ6ybi69jR3jICefWMbuLbVLBNF+nr05cDDAwwsOpCWdr+o9FsvPc2RW6+YWD8fjYpmNOyCNCLpjz48ovrW6sQiFnvq7SGDTYbftRdZ5ytqaljXRPnLXJWNyELTVFUNoJumXyOySg2gm5e/5bZWDaDLjagqzyQR2LFjh5SB/vHjx9/sE/XQAwMDFWu3nA+ai4/eY+zuG9QukI4ZTX4E/Q6Nhf8mQdGOUH2yYnFQFVMR0AaBgMAgVpx4yNT9N/nsF4hF7Fi0ccpCn0q5SBgnknpWPyYQD/6vP/nx8M1n7r/+zIM3n3nw+gsvPvjSwTkbLuIZfUpuzcPT0KdgFU8b1f7c5/IG2NIRMpeCtrv1lifnvqG3MiYmwJzPE/E34DjeXfq7ujW2qvSv1H5SJO6HTI4m5nH5zPnfjf/xz+l/KJuhLEEv2rL78jOGV88j7Ssx0S6+vEjLvS2ll0XraqyTAjlqMxAC4uKVyDr3+wx+n+DASLi+DRw7Q9V/DTSpPGLV80QeHCOSYs5nSlhMxOev3MPd8AsM4tigcmR4ewpW1YFUdtD1hGEdEc3S13qtZfyp8ZTPWJ6W2f6mwfwTZEoWn/8G/oE6Npp11GW6Q48O0etwL4nV5ECDA5HXktVlkpga8+IazC8F34Og7V7I7BRTmhjtvOp5YljXyXGePH36lPTp0+Pp6YmT0681Lmqcr1ixgps3b4ZrhAh8i3EiKG5hYSHRv7dr1y5Cg11dXRk1atRvv9c2gN5x5VmO3X7NktZFcMqRIvx53IbCyTng1BMqa5cJb1gPRZ/0utvrcuf9HeZWmItzhl+16wdsvMTGc48ZUCU33cqpl55DeqTT/k6ceHaC9vbt6V249+/O2tBa89m9cFuoOT36nKnOFCECagDdvBaHGkA3L3/Lba0aQJcbUVWeSSKQJUsWatSowYgRI0idOrVR2Sjng+ZENy/metyVAoqutfJqcDgxB/YNBfsG0OBXfSSjAklVVkUgDALPfXwZs+s6u688k36TJlFc/q5pJ9VsFpdmxEvad1/8NQHyH0Hy4GD5w9df+PgtIFxM7dImYk/1b7C6PiTPqal9KEd7dAqWVobEGaHPVb0lyrlv6K2MiQkw5/Pkovd76szxlP6eTg6t8MuzC8vB0/PQdB3krmpiHpfPHNfjrmy+vZlO+Trx9UUl6TxuWTwzY+rYyzdJFCUN+m8Qe+7voVCqQix3WS7tj2rTAgFRA/HKRnh7/1dQPDg4Hurfz/DtkyZo/j2cy5pGEIRRzxMt1oMeXcz5TAkLm88Xf/KP3i/92GuMC3FfX4UFpcEmLfTz0gNl5Q2ddm4aS68upZltM5pk70m5yR4ksLbg2mgX5SkbBY38A/0pv7G8VEs2bOAmCmKU11VcglpVF+4dBrva0Gil8nQ0Ao3U88SwTpLjPAkOoB8/fpwSJUr8VHjcuHGsWrUKL6/w9+KgoCDu3bvHp0+fcHd3l6jbRQZ62bJlwzVa3wx0IVQ8zwd959eF3rAzec6EAyPAoSHUX2xY8BUkXbBMFV1dFL8gP/bU3UPGRL8yzcN9H6gg3WNSlYMPD9LHo49UWuVgg4NYWYRgLf30EqbmgaAA6HxMpW6PSUeFmFsNoCvEEdGkhhpAjyagTXQaNYBuoo5VzZIXARsbG4lyKnv27PIKjgZpcj5oDtlymbWnvelbKRc9K+TUaH9xDWzrAtkrQMst0WCROoWKQPQh4HHzJX/vuMbDN1+kSQU9pqCfFkHzD77hB8lFPxFDSpc4HllSxCdL8gSksonLtIO3pAf0Gy43sT7kCnZ1oNEKeYz5+PxXVvvwlxDygU2HGeTcN3SY3qSHmPN54nb1OZ1Xn5Nqn4sa6D+buFBy5yDUngsFm5u0//Uxrumuplx9c5XJZSbz/lUeBm2+Erqkij7CdRz7/PNzam2rxdeAr0wsPZGqWdULEJFCGRQIWzrB1U2Rdg23g2U8sE6gyV5suELxFMDqeaKbm7UdZc5nSliM7rz8RMWpR7CJa8kV1yrw/hFMdwCLODD8hebDmYm04MtLfQv3pV72FuQfFeLigJWFUVspmFYE40q+lPlYVXUVsQVjk7G3W/thTUOwsIZupyFZVmO3KEb0V88Tw8Iux3miL4V7sIUdOnTA29ubffv2aWW0QdbGlU2wuT1kcYY2u7TSwxQ6Pfn0BJfNLljFtuJM8zNYxP51pizzvM+ondep5pCGuc0Lm4K5stngH+SPyyYXXn59yaTSk3DJGuJC29Ep4D4a0heBju6yzakK0g8BNYCuH37GNloNoBubx5SlrxpAV5Y/VG0UioCof+7s7Iz4IG9sTc6Hic6rzuF27TljauelZYksGihu7oW1TSBdIeh02NjgUfVVEYgUAV//QCnTc77HXYkWNGRLmziuFCDPkiIBWX8Ey8X3gkYzbogXmOKGe/EJ7rz48I0zdhtJeW8rlBsOZQZEOr9WHURmy7g0EOALPS9AMv0oneXcN7TS34w6mfN5suL4A+lCikveNMxvGeKliwgmXl4PlcZAyZ5mtBq0NzUwKJDia4rjG+jLzjo7efbahqaLTpIleXw8BsQsZe+CSwuYfXE2qeOnZlfdXcS1/FHbXnvzzKen2Kt39oTzKyG2JRRsAXGTgHVCTVA8+CuOTYj/B//ux78hXmQaA3DqeWJYL5nzmRIW2RN330j7YraUCTjUryx8+wgTftQhHfoMrOMb1hnRKL313tacf3leeklfJUsVcg3fi3/gdzwHlyd9EhlKA0WjLWGnevnlJTW21pAuZo0rNY5a2WvFoDYyTC0YR+Y5wetbZkkFLQOCP0Wo54mcaP4uS67zxNHRkcKFC0s07MHNzs6O2rVrM2HCBK2MaN++PXfv3sXDw0Or/gZZGw+OwfLqkCw79DyvlR6m0MnziSedD3Yme+LsbKuzLZRJonxUtzXnKZolKRs7q2Uowvp7zsU5zL80nyKpi7DMZZnm10FBMDO/5lKfellcUX8iphhAF6wdBQoUYPr08MsECKaR3r17S1/m1tQAurl5XF571QC6vHiq0kwUAUE5JQ6g6tWr4+DggJVVCDoeoGdP5b7wl/NhotGCE5y+/5bZzQpSI186jbcfnYSlVSBpVuh10URXgGqWigASXfvR26+kbHKRWZ45WQLiWWuf5RN8AeVsCldSfLoFTdaAbXX5oJ1dVPNyruU2yK5fQE3OfUM+A01DkjmfJ/+6eTEvbBkQ4da9g+HUPCjVByq6moajZbbivs99KdM7rkVcTjY7yYsPfjj9cwjL2LEkqmJLi5jL0PMN8KXmtpqIbHTXEq6jW3H1AAAgAElEQVTUz1VfZutNRJwInu8bpqmnKTIq6y8B+3omYlzEZqjniWFdbM5nSlhkd156So+1FyiWNRkb/ioh+HlhTAoNZWqf65A4vWGdEY3Sq2yqwtPPT6UM7QKpClB8vDvPP/iys3spHDIkjkZNDDPVkitLmH5+ulQLXVzMSmCVwDATRYfU04tgT3+In1xzyTWu8fsnOmALbw71PDEs8nKdJ+vXr6dly5bMnz9fonFfuHAhixYt4tq1a2TOnJlWrVpJ9c6Dg+ni3yJFikhsjyKDfc+ePQwaNIh58+ZpncBikLXx5i7MKgRW8WHoU5NiMfnTShIMIIIJpEKmCkwvFzoIJ94FineCSrjAa9i/Bt2ki2ehKpurIGjwt9feTrYk2eD2QfhffYiTWFNOxoQu8+mGknJGmWMA/dWrVyRIkID48eW5VBpR+ba1a9dKZXCTJk3K6tWrady48U/Hi+83bNjAnTt3QrH8ijNA/G78+PEGWSRqAN0gsJqNUDWAbjauVg3VB4GsWSOmWRMHhqjXpNQm58NEpalHuP3yE2s6OOKUI4XG5Fc3YU4xTQbV4IdKhUHVS0UgxhGYf+Quk/dexStuOywJgF6XIOkPJgc5tFvdAO4cgJozoHAbvSTKuW/opYgJDjbn86TP+otsvfCEQS62dCkboiTKkYlweBwUagW1Zpmg1/U3ad+DffQ/0h+HFA6sqb6GoKDv2I5wk1gxjg4sR8Zk8jwE66rpimsrmHx2MjmS5GBLrS1qLfTwgDw8Ho78q/lN7Tma7HMzaOp5Ylgnm/OZEhbZYGrZ6g5pmdO8kObXk3LA51fQ2RPS2BvWGdEkXTCSFFldhIDvARxocIA0CdJQbcZRrj/7wLK2RSmXO1U0aWK4afwC/ai7vS6PPj6irX1bBFW9Ubav72BmIfj6FqpPgaLGx2anJNzV88Sw3pDzPBHZ5xMnTuTZs2fY29szbdo0SpcuLRkgMiRFFuTy5cul/w8fPhwRdH/8+DHx4sXD1taWXr16hQq4RGa5QdaG3xcYn1Yz9eBHZnP5ZdzJcay7uY529u3oU7hPKOhFGbuykz2Ib23B9dEhKMojc5AZ/b7noZ4c9j5MizwtGFRsEKxrDl67wLEzVP3xHGBGeCjZVHMMoMvtDxEPWbZsGS4uofeDJEmSEDduXOkSVf78+aULVcEtTZo0WFtbM3LkyJ+XpMT+nzFjRvbv30+lSpXkVlOSpwbQDQKr2QhVA+hm42rVUKUgIB4mJk2aJD1M5M2bV8psF/Tw4bUtW7ZIt6/EzSx/f39y5sxJv379pBu92jY5HyaKjD3I60/f2NPTGbt0iTQqfHoJk0U99Fgw8g0YGbWotjiq/VQE9EXg1L03DF+0iQNxBoK1jeZBPLaMWaO7+8GZxVCqL1T8Wy915dw39FJEHawoBPRdF00XnuTEvTdMb1yAOgVDZAKKdSvWr20NaPI/RdmsFGVmnp/JoiuLqJ+zPq5Omiz98lM8uPfqM6vbO1Iq549LbTGk8Ae/D1TcWFGi3F1ceTGOaR1jSBOFTus5Aw6M1ChXdRI4dlKoovKrpe++Ib9GqsSIEDDmZxRh00Q3L6nkThunLLjWyqsxc3YxeH0TWu+CrOE/bxnbihAU5xU2VsAilgVnW5zFMrYlLZec4ujt10xpmJ/6hX/Q1hubYWH0PeJ9hO6Hukv2ba21lSyJZbx0Gl3YCNaRE7Mhpa3mEoeFZXTNbJLzqOeJSbpVFqMMtjb+yQS+PtD1FKSylUVXpQvpuL8jJ5+dZLTTaOrmrBtK3c/fAsj7t6Yu/bVRVUgQR93Twvrz2JNjdDnYBRtrG9wrryKeYAn8HmhWa0jpazxYP1MNoItLS6KJzG8LCwu6dOnCmDFjpAvuYSncvby8pCD22bNnyZYtGzNnzpQC2Fu3bqVOnTqRulLI/FPfoUOHIuIaYh7Rbty4QfHixRkyZAhXr16VdBRt1apViNId79+/ly07PqzyagA9UneqHf6AgBpAV5eHikAECPTt21c6ZAS9ifg+oiYOjClTpmiFYzCdlXhBVbJkSRYsWMDixYu5fv06mTJl+k2GqPn07t076RauuKG1a9cuKYC+e/duqlSpotWccj1MiBrOOYbtJTDoOyeHVCBN4h81TgP8YGxKjS4D70P8ZFrppXZSETA3BL74BTB09N9Mt5yNX9oiWP/lLi8EnjPhwAiwrw8NluolW659Qy8lTGiwIc6TmIBH33VRfrIH915/Zm3H4pTInvyXCVe3wKa2kMkJ2u2NCdMUP2cP9x54PPZgSLEhNMvTTNK37bLTHL75inF17WnumDnGbRh7cizrb66nXMZyzCw/M8b1UYwCwRdEhEIVRoJzP8WoFh2K6LtvRIeOxjaHIc4UY35GCfbfwE2X2HD2Mf0r56J7eXG5F1hSBbxPQqOVYFfb2Fwdrr6XXl2ixZ4WUua5yEAXrfe6C2y7+JSh1WzpVDoEw4sRWyyePbu6d0UEI5zTOzO34q96ykZhlqB/nuMIQf7QfDPkrGgUaitZSfU8kd87hjhP5NcycokGWxtzisOrG7KUSIvcCmX0qLSpklSWKbhESFit7Ea68cUvkMP9y5I1hRGX1zAQ3IK+vdqWajz59ITRyYtT9+wG9RnXQFjrKzYqAXTxmSTg2zd9p9RpvGWcOFqzuwmGj3PnzknBaBE4F4HxTp06SYl7HTt2DBVADwoKws7OTopFiCS/jx8/SvGG06dPyxZAP3DgAJUrV+bp06ekTZsWEQsRZTpE9nm9evUk5hHR2rVrx+3btzl69KhOGGkzSA2ga4OS2iciBNQAuro2VAQiQKBcuXLSoSGoR8T3Ef4RxYrFoUOHtMLR0dGRQoUKSfWcgluePHmkm13BNaAiEyTGi1rsIrivTZPrYcLnqz/5R+2XphT1VuNahaj9PD49+H2CHuchuWm8tNEGW7WPikBUEdjwT3sa+W7iUdbGZGq9MKrD/9z/+nbY0ArSF4GO+gXn5do35DXQeKUZ4jyJCTT0WRfiodNu5D6++ofzwuXeEVhZS5Oh1e1UTJim+Dkrb6rMs8/PWFZlGUXSFJH0dd1xjeXHH/BXmWwMqZonxm2453OP2ttqE4tY7K63m4w2GWNcpxhX4NI62PqXRg0Z2EFi3B4dFNBn39BhOrMYYogzxZifUYKdHnyp6N/6DjQu+uNi8pomcGuvLOVtlLK4gkt6FEhZgFXVVklqjdl1nSXH7ivmPJALq/s+96m3ox4BQQHMqTCH0hk0FNBG0da3gBs7IUdFaLHZKFRWupLqeSK/hwxxnsivZeQSDbY2VtaBe4ehzjwooLnAasrti/8XHNdoWKSONj5KElGmMUwrO+kwD958YcNfJSiWVU2eCW89LLmyhOnnp+Pg/501j72h3mLI19CUl45R2haVALq/ry8zWzeIETt7rtiEVdwfCWyRaCAC6C9fvuTatWs/g+6DBw9mx44dUuJeyAx0Nzc3atasibe3N4JWXbSDBw9GOQNdULWLTPeQ7fLly1JG+5cvX6SYyooVK2jatCmNGjWiaNGi9OnTR6qPfv78eYlpV/Rt0aIFo0ePNhjGagDdYNCahWA1gG4WblaNVAICfn5+EhXJxo0bqVv3FxWSqO908eJFjhw58kc1RfBBBOpr1arFtm3btK4LItfDxMM3nykzKYJ6R9PswccbOhyCDIWVALeqg4qAIhHwmlIV24/HccvcH5e2I+TV8elFWFgGEqSEAXf0ki3XvqGXEupgxSGgz7oIeQnrxmgX4lmHeMh6fgXml4IEqWDAbcXZHdMKCXr0kmtLSmp4NvUkkbWmhMrSY/cZves6Ve3TMK+FMs7ezgc64/nUk5Z2LRlYdGBMQxez81/fARtbw/cgKPaXpu5hrFgxq1MMzK7PvhED6prllNH1jPLt2zfEV3ATa0PUO/Tx8SFRoh+lofTwQM1Zx7jyxIclrYtQIU9qjaStXeDSGqjoCqVC13LVY6oYHbri2gomn52MSxYXJpWZJOky5/AdJu27SYPCGZjcMH+M6if35FPOTmH5teVkTpSZLbW2YG1hLfcU8st7cAyWV4dYFtDFE1LF/CU3+Y2MfonqeRL9mBvLjAZbG9u6wsX/mQ2D0M23N2mwswGJ4yTmWJNj4bq/4fzjnHnwjjnNClE9348a8cayUKJJzzdf31BxYwUCvgey/vUX7HpdB8s40TS7Oo22CJhqAF0Eo5cu/cVIuX37dho0aCDVAM+ePTu9e/eWvmbMmCF93bt3L9Rn88SJE0cpA10kCFasGJplJ3PmzFhZWUlyS5UqJZWvFQy8qVOnlph1RRBd1E2vX7++xK4r+h8+fBhxAcBQTQ2gGwpZ85CrBtDNw8+qlQpAQFCWpE+fHk9PT5ycnH5qJGqci9tYN2/eDFdL8VJJjBMvnMStLkF5IuhNImqGejl14dE76s49Tvok8fAcXD709CLwIQIgKj2dAlaaqoKSEfjyT27i+z5nRNJJjOklcw3cr+/g3x/1IYc+BWvdKdUM9hJCyc5RdYsUAX3Wxa0XH6k87T8Sx7Pi0t+VQ8/14SlMzQOxLWHEa7MMMv4J/LPPz9J2X1vSJkjL/gYaJhjR3G+8oP2Ks9ilTcSeXsqo7Xv08VGJcjehVUIONjxIAivd96FIF6SSO9w+CGubaKh7CzSHWrMhdmwla2ww3fTZNwymlCo4FALR9Yzi6urKqFGjfkNfrgB6iQnuPPPxZXu3kuTP+CNrLrgGdcleUMlwWS3RuaT+Pf0vq2+spm3etvQtoikztv7MIwZtvkK53ClZ1rZYdKpj8Lk++X2ixtYavPF9Q5/CfWhnH/FzsMGV0WaCoCBYVBaeXYIi7aHGVG1GqX20QEA9T7QAyUy7GGxtuI+Go1OgaEeoPtnk0XV74MaAIwPInzI/q6tpahOHbV3/d449V57zd0072pbMavKY6GrgwJUl2fv9A/XjZca10S5dxajjDIhAVALoxkThrm0AXdC6z5o1i7t37/5EORgTuWqgC8EjRoxAlIoSMkuUKCGVqRWxDcHCe+XKFSmA3rlzZ+nnIpvdUE0NoBsKWfOQqwbQzcPPqpUKQCD45dTx48elQyO4jRs3jlWrVuHl5RWulqIuibgR9unTJ9zd3SXqdpGBHtHNLEO9nDrk9YJ2y8/ikD4xO3uUCq3rippw/z+VmkgB60xVQcEIhAhwFwlYwolR9bCykDmgMiETfPOBrif1ynYx2EsIBbtHVS1yBPRZF//dekWrpafJndqGfX3CULD6+8K4H9mCgx9B3MSRK2NGPdbcWMOE0xMok6EMsyvM/mn5nZcfqTj1PxLGseSKa2Wta6MZEjpR90/QuD/48IChjkNpatvUkNMpU/YDT1hdDwJ8IW9dqL8EYoemtVOm4obRSp99wzAaqVLDIhBdzyiGuuQr7BEvNnMN34t/4HeODy5PuiTxNGb+NwkOjYVCraDWLJNwfp/DfTj46CCDiw2meZ7mkk0Hrr+g48qz5M+QmO3dwzynmYDV2+9sZ7jncOJbxmdX3V2kjJ9SuVZdXAPbukCcRNDzAiRIoVxdjUwz9TwxModFo7oGWxunF8Ge/mBbA5r8Lxotipmp5l+az5yLc6idvTZjS40NV4ngElJdy2ZnoIttzCiq9FnfPeTsgmK0TZuKeBZxcW90CBtrG6VrbXb6RSWAbizgBFO4C7r24DZkyBBEFnpEFO6iDrnIDBdNxBxENrmcAXTBpFuhQgWGDh3KhQsXpBrooonYiMiMFwH0hw8fal0aV1dfqAF0XZFTxwkE1AC6ug5UBKIJAX3pEYPV7NChg1SjZN++feFqbqiXU5vOPab/xks450zBqvaaukg/m6i7LOovV50EjjJn1UaTf9RpVAQMjsDD47CsKk9JgZPvTHZ2L4VDBpkDhcFsEE3XQ24XnU0y2EsInTVSByoBAX3WxYYz3gzcfJnSuVKysl042XHj0oL/F83L5mTZlGCuYnRwPe7K5tub6ejQkZ6Fev7Uy9c/kDwj3fj+Hc4Nr0jyhMqgBlzrtZbxp8aTJVEWttfZTuxYMl8UUoxnwlHkyTlYURv8PkLOKtB4NVgaAd2wATHVZ98woFqq6BAIRNczSljQ5Vwb77/4UWD0AWmKm2NdiGP549LKmcWwu59JBT+a7mrK1TdXmV5uOhUyVZBsPv/oHfUiYgozgdUuLme13NOSy68vUyt7LcaVGqdMq/w+w6zC8PGZhvFAMB+oTTYE5NwzZFNKFaQIBAy2Nrx2w7pmkL4wdDykCFsNqcTgo4PZfW83vQr1ooNDh3CnCi4Z0rBwBiaZWMkQ2bB1H8P3o5OpmzU7d/FnmOMwmtg2kU28KkgeBEw1gH7u3Dk6duzIX3/9JdUYF99PmTJF+n/IGuiBgYEStbr42cSJE/n48SP9+vXj1KlTUtJe7dq1IwU6VqxYLFu2TKJjD9lsbGxIkEDDRCcC16IOurW1NcOGDWPQoEHSz/39/aWfi2z0AQMGSJnqhmxqAN2Q6Jq+bDWAbvo+Vi1UEAKOjo4ULlxYomEPbnZ2dtLBJOhLtGnt27eXKFY8PDy06Y5cDxOLj95j7O4b1C6QjhlNCoaee2cvOLccyg6FsprDUG0qAioCYRD4cYP9YlxH6rzvxejaeWlV4gflulxgrWsOXrug6kRw/EtnqXLtGzoroA5UJAL6rIuZ7reZeuAWjYpkYGKDcOqzTrMHH2/ocAgyKKOet1Kc0Gx3M668viLVuhU1b0O2YMriLV2dKJQpqSJU/uz/mYobK/LJ/xNzK8zFOYMy6OUNDs7zq5qat77vIYszNN8IVj+yYA0+uXIn0GffUK5VpqeZMT+jCG/cfvGRSuGVCbm6GTa1g8yloO1uk3BcuQ3leP31NetqrCNv8rySTY/efKH0pMPEs7LgxhjdL1AqGaArr67QbE8zSUVBLSwohhXXDk+AI/9AkszQ/Yxa81ZmB6nnicyAmpA4g60NcTFyUXmwSQf9bpgQYr+bIphcKm+uzPPPz5lTYQ6lM4RhDPsxZMNZbwZuukyZXClZEd6laJNGSQvjAv1hWl749IL/le7MP957yJEkB1tqbVEEW5gWFphNF1MNoIuguGCyXbNmjRScFoFzUTpWBLtDBtCFowUTrkjSO3PmDIL6fdKkSdSsWRM3NzcpMzyyJmSG10R8Y/DgwT9/JTLjjxw5wsmTJxHPHMFNZLuLrPejR49KtdIN2dQAuiHRNX3ZagDd9H2sWqggBETdj5YtWzJ//nyJxn3hwoUsWrSIa9eukTlzZlq1aiXVOw8Opot/ixQpQvbs2RHZIYLqRNzWmjdvnnTIadPkepiY6ObFXI+7tHHKgmstzcuan+2gKxybBo5doOo/2qil9lERMD8EdvaGc8s4naENje5Upl7B9ExtXEBeHIJrfRbvBi7jdZYt176hswLqQEUioM+6GLr1CmtOPaJnhZz0rZTrd/vmO8Pzy9B8E+SspEj7Y0KpwKBAiq8pjm+gLzvq7CBr4tC1BhsvOMGp+2+Z3rgAdQqmjwkVw51z4pmJrLq+ipLpSjK/0nzF6GUwRV7fgWUu8PkVZCgKLbdBnIQGm86YBOuzbxiTncauqzE/owjsj999TbNFp8ieMgHu/cr+csfdQ7CqLqTKC12PG7ub8Av0o/BqzSWzI42PkCxuMun7T98CsP9bw052fXQV4ltbGr2t4RkwwnME2+5sky4OrKm+RlkMJz5PNNnnAV+h4QrIW8ckfRCTRqnnSUyir+y5DbY2PjyDqbYQywJGvDLpkjzXXl+jye4mxLOMx3+N/yOuZfi1iA/ffEnbZWewS5uIPb3M5JJsVJa/YOYUDJ0JUvGh20kqbq3K14CvrKy6koKpwiQiRUWu2ld2BEwxgK4vSJ6enlIg+86dO1IcwpSaGkA3JW9Gvy1qAD36MVdnNHMERPa5oEd59uwZ9vb2TJs2jdKlNbc7xa0scSNs+fLl0v+HDx+OeKElapLEixcPW1tbevXqRePGjbVGUa6HiSFbLrP2tDd9KuaiV8Wcoef3nAEHRkK+JlBvgda6qR1VBMwKgcWV4PFprjlNo/qh1GRNkYDD/UO85JUDDJnqtMm1b8hhkipDOQjosy7aLz+Du9dLxtd1oJljpt+NWlkH7h2Gugsgv0pxFwzQA58H1NxWk7gWcTnZ7CQWYWppD9x0iQ1nH4d/Nsfg0vH+6E31LdX5zneJxj1bYhOm5X//CJZWhQ+PIY0DtN4J8ZTBBhCDS+Dn1PrsG0rQ35x0MNZnFOGjHZee0nPtBRyzJmP9XyV+ue3pRVhYxmSyB8XeWm1LNeJYxOFM8zM/s9lE5qDtCDe+BQRxdGA5MiaLb5JLV2Te19xaU2I4Ge00mro56yrHzh094PxKyFQC2u6FCLKylKOw8WminifG57Po0thgayMwAMamhO9B0O8m2KSJLpOifZ4Z52ew+MpiKmeuzJSyUyKc/+oTH2rMOkaKhHE4O7xitOup+AlX1oZ7HlCqL1T8m7+P/82W21uoka0GE5y1Yx1VvI0moqAaQEeqdZ4wYUJy5swpBc1FvCFp0qQcO3bMRLz8yww1gG5yLo1Wg9QAerTCrU6mIhD9CMj1MNF51Tncrj1nTO28tAxLOy1eFoiXBqLeZ/MN0W+kOqOKgNIRCAqCfzKC3yd82h4l/zxvSeMLIyqRNIGM9XFv7Yc1DSG1A3TR/UOvXPuG0t2i6hc1BPRZF9VmHOX6sw8sbVOE8rapf59YUOwKqt0qE6BE16gpZsK99z3YR/8j/bFPbs/aGmt/szS4DmG9QumZ2khmRgs9ce15qCeHvQ/TOHdjhhcfrqc0hQ7/+ByWusC7+5AiF7TZAwlTKlTZmFFLn30jZjRWZ40uBORcG0uO3WfMruvUyJeW2c0K/TLh3UOYkQ9EJt3wF9FlmsHmOfP8DO32tSOTTSZ21wtNSe80wZ2nPr5s61aSAhmTGEyHmBa84toKJp+dLGXf76q7Cxtrm5hWCUT2+Yz8EOQP7fZDpl/0pDGvnOloIOeeYTqoqJYIBAy6NqbYwsdn0PEwpA9xvpgQ9OISVq1ttXjw4QETS0+kataqEVr38qMvxca5EzsW3B5XDQvxjdo0CLy5C7PEGokFvS5C0iwEZ/ZbxbbCvaE7SeOql2yVslzUADqsXLmSMWPG4O3tTYoUKRCU6qJeevLkySXad/EVXnN2dmbv3r1KcaVWeqgBdK1gUjtFgIAaQFeXhoqAiSMg18NEowUnOH3/LbObFaRGvnShUbuxE9a3gAzFoMMBE0dUNU9FQAcE3j3QvFizsIahTyk/zZN7rz+zrG1RyuVOpYPACIa8uglzikGcRDD4kc7ZL3LtG/IZpkpSAgL6rIvCYw7w5rMfu3uWIm+6xL+bs2cAnF4Izv2hwgglmKsIHWZdmMXCywupl7Meo5xG/abTzktP6bH2AkUyJ2VTFydF6BysxKlnp+iwv4NEBXmw4UESWSdSlH56K/P5jabm+asbmnq37dwgUZjPR3pPYvwC9Nk3jN961YI/ISDn2vjXzYt54ZWa8v2gucAo2rDnYBXPqJ2y8+5Ohh4bimMaRxZXWRzKlpqzjnHliU/EF9WM2vJfyvsH+lNvRz0p0NPKrhUDig6IecvchsLJOZC5FLQNfbEh5pUzHQ3k3DNMBxXVEoGAQdfGwnLw9Dw0WQu21UwS8Lvv71Jnex1EkFfQtye0jrgMUWDQd3IO20PQdzg9rAKpbMKnejdJoCIzav8IOD4TclSEFpt/9m68qzHX31ynX+F+tLFvE5kU9ffRhIAaQP8z0G/fvkV8hdcEQ64oP2tMTQ2gG5O3lKerGkBXnk9UjVQEZEVAroeJSlOPcPvlJ/7XwZGSOVKE1vHBMc1L5OQ5ocdZWfVXhakImAQCl9bB1r809L6dj9F3w0W2nH8ScT1oXY32/wrjflDLDbwP8TW1MaPa5No3ojqv2l/ZCOi6Lr4FBJJ7uJtk3PkRlUgWHuvC4Qlw5B8o0g5qTFM2ENGoXQ/3Hng89mBwscE0z9P8t5kvP35PrdmepLSJw5lhyqJRFNksIshx5/0d+hfpT+u8raMRuWiYam1TuLkHbNJqgudJs0TDpMY3ha77hvFZqmocVQTkXBv9N15i07nHDKiSm27lcvxS5ft3GJMCggKg7w2jv+Sy6PIiZl6YSa3stRhXalwoyFsvPc2RW6+Y2CAfjYr8uDQQVacYSf9jT47R5WAXLGNZsrnWZrIlicEyIV/ewjR78P8MzTdDTmWdxUbiUq3UlHPP0GpCtZPRIGDQtbG2GdzcDdWnQNEORoNJVBQVl3XFpd3SGUozp8KcSIcWGXuQ15++satHKezTh3MxOlIJJtgh4BtMzQNf3kCTNWBb/aeRgsJdULkL9piddXcSO1ZsEwTA+ExSA+jG5zN9NFYD6Pqgp45VA+jqGlARMHEE5HqYCP6QvKenM3bpwmSRvbgG85wgfgoYeNfEEVXNUxGIIgK+PjDHUUP9VmYQlBvKqhMPGLH9Gs45U7Cqvcw0j5NzwacX0MkD0hWMorKa7nLtGzpNrg5SLAK6rgvvt19wnngYa8vY3Bzj8rNmayhDTy2AvQPBrjY0WqlYDKJbsSqbqvD081OWVllK0TRFf5v+/Rc/CozWML9cH12F+NaW0a3iH+fbfGszridcSZ8wPbvr7v6thruilI2KMncOwur6ENsSOh2BNPZRGW1WfXXdN8wKJDM1Vs610WbZaTxuvmJi/Xw0KhomeDwpB3x+BV2OQ+q8Ro32mBNj2HBrA53ydaJHwR6hbAm+nDm4qi2dy2Q3aju1Ub7HoR54eHvglM6J+RXnh//ZQhtB+vYJvgCYJh/89Z/O7E/6qmEO4+XcM8wBL3Oy0aBrY3c/OLMYSg+A8qZZkqjRzkbceHuD0U6jqZuzbqRLJ7g0l+xsepHOrOAOVzbB5vZgkw56XwGLX89kX/y/UGFjBT75f2JBpQXSuTxQCDAAACAASURBVKW2mEdADaDHvA+iUwM1gB6daJveXGoA3fR8qlqkIhAKATkeJkQWWY5hexF0TSeHVCBN4jA0TR+eam5bxrKAkW/UFwfqGlQRCInAzl5wbjkkyw5dPCX60KtPfKgx6xg2cS25NLIyseWsHba4Ejw+DQ1XQN46OvlCjn1Dp4nVQYpGQNd1cebBWxrOP0HGZPE4OrB8+DYGv3TI4gxtdikah+hS7oPfB0quLSlNd6zJMRLHCT/DI5/rPj74BuDW2xnbNMqiSfcN8KXSpkq8//ae6eWmUyFTheiCz3DzBPprLg2+vgXFu4FL+LXhDKeAcUnWdd8wLitVbXVBQM61UWPWUa4++RA+ffnsopq/1za7IUspXVRVzJhu7t347/F/jCwxkoa5GobSa9zu6yw6ep+OzlkZVt1OMTobShHvD97U3l4b/yB/ZpSbQflMEXy+0FKB55+fs8ZrDd8CvtG3SF/iWMSJfOS3TzAtL/i+hwbLwL5e5GPUHjojIOeeobMS6kBFImDQtfHfJDg0Fgq0gDqRZ2crEqA/KPXk0xNcNrtIWdEejTy0qtFtTownWvtzWXV4eAzKDIZyQ34bNv7UeNZ6rcU2mS1d83elVIZSEmW+2mIOATWAHnPYx8TMagA9JlA3nTnVALrp+FK1REUgXATkeJjw+epP/lH7JfleY1yIa2UReq6QtNGDvSGusl7gq0tDRSDGEAgubyAUCPHi1j8wCAfXffj6B3GwbxlypIq4zliUdd/cAa5shEqjoWSvKA8XA+TYN3SaWB2kaAR0XRfBdbqLZknKxs4R3Li/4w6r60Fqe81FE7Vx7sU52ri1IU2CNBxooMkyD68F171d2LIwlfP+KOGgIPxmnJ/B4iuLpQx6kUlv9O3kPHAbDPGTQ4/zEC+J0ZtkSAN03TcMqZMqWxkIyLk2HMcf5MWHb+zsXgqHDGEuGy2pDN6noNEqsKulDON11EKUxbj97jbzKs6jVPrQlwHmH7nLP3u9qFcwPVMbF9BxBuMaFny+ZEiYgW11tmkX9A5j4n2f+yy7uoyd93YSIKj+gXIZyzG17FQsBcvIn9rx2bB/mOaSbPczEDvMM7Jxwal4beXcMxRvrKpglBAw6Nq48D/Y3hWyV4CWW6KklzF0XnltJZPOTqJYmmIsqbJEK5UHbLzExvDKpmg12gQ7vboJc4qBoGbvfRUS/14b+p7PPZrsasLXgK8SAMniJqNa1mpSSRYRVI8VK5YJAqNsk9QAurL9I7d2agBdbkTNS54aQDcvf6vWmiECcjxMPHzzmTKTPIhvbcH10S7hozg2NQT4Qq/LkDSzGSKtmqwiEAYBcbFEZCm+vQeF20LN6aE6NJx/nDMP3jGpQT4aylmr0n0MHJ0MRdpDjak6uUWOfUOnidVBikZA13Wx+Og9xu6+Qc386ZjVNIKyAk8vwsIymnrS/bwUjUN0KbfmxhomnJ5AmQxlmF1hdoTTdltznt2XnzG8eh46OMdgHdgINBRZfSKzJfB7IJtqbiJ3stzRBaH883x+DTMLwTcfqDEdirSVfw4Tk6jrvmFiMKjmhIOAXGsjKOg7uYbvJSDoOyeGlCdt4nihZ1vTGG65Qc2ZULi1UfvCaa0TH/0+srXWVnIkDVHrHdhw1puBmy5TJldKVrQrZtR2aqu8oMWtubUmL7++pGfBnnTM11HboVx7c40lV5Zw8OFBvvNdGlcgZQGuv7mOX5AftbPXZnTJ0RHXqhX1bmfk15RoMoG1pTVwMdhRrj0jBk1QpzYQAgZdG8GXfFPZQdcTBrIg5sS23tua8y/PM7jYYJrnaa6VIhPdvJjrcZc2TllwrWXcpVG0MjiyTm5D4ORcyF0Nmq6NsLe4sCXKW+26t4s3vm9+9suZNKd05lTPVp0U8VJENpv6e5kQUAPoMgFpJGLUALqROEqhaqoBdIU6RlVLRUAuBOR4mLjw6B115x4nfZJ4eA6OgB5viq3mBYKoBZrOPLIe5PKRKsdEETjwN3hO1wQEu52CuKEzosbvucHC/+7RzDET4+s6yAfC+ZWwowfkqAgtNuskV459Q6eJ1UGKRkDXdTFm13WWHIuEVvb9I5juAIIydfgLtRQI4Hrclc23N9PRoSM9C/WMcG0Ev8RqWTwzY+oosxZ3/yP92fdgH/Vy1mOU0yhFr/M/KrezN5xbBmkcNJ931GzDSH2p674RqWC1g9EjINfaePvZj0JjNCwdt8ZWxdoydmhstnaBS2ug4igo1dtocRPBYsc1jpL+J5qeIKF1aPaiQ14vaLf8LPbpE7Grh7PR2hlVxUUgYsjRIcSzjMeOOjsk1paImihLdvr5aYkV5eSzkz+7lc1QlvYO7SmQqgCHHh2ir0df6dJXK7tW9C/SP/zMwHMrYGdPzef8XpfAUgvK9wgUE5mJ/5z6hzzJ8/BXvr+IbxU/qjCYRX+59gyzAMvMjDTo2nh5A+YWh7hJYPBDk0L29dfXlN9QXrpEJNiu/rR/hjR8med9Ru28TjWHNMxtXtikMImyMSJpYkpu8PWB5psgZ6VIRQi2k+NPj7P9znYOex+WSpGIZhHLgpLpS0pZ6WUzltWJVSXSydUOPxFQA+jmtRjUALp5+Vtua9UAutyIqvJUBBSGgBwPE1q9kJlbAl5eh5bbIHs5haGgqqMiEM0IiGzaReXheyA0WQu21X5TYO+VZ3T533ns0iZiTy8ZX3TeOwIra0HynNDjrE6Gy7Fv6DSxOkjRCOi6LrTKkBZ1RCf8oLsb8gTiyFjWQNGoRqxcs93NuPL6CpPKTMIlSwTsL8D6M48YtPkKpXOlZKVCsw4vvrxIy70tpRdB4gVd0rhJjc8rzy7DgtIgMhXb7oXMEZQjMD7LDKqxrvuGQZVShSsCAbnWxq0XH6k87T+SxLfi4sjKv9vmNhROzoGSvaGS8V7guff+nlTz28bKhuPNjv9m5yXv99Se40m6xHE5PqSCInwcHUqIoHirva24+OqiRIf7b+l/f5s26HsQhx8dZsnVJdK5KpoIVFTNWpV29u0Q2X8hmwhqDPccLv2oV6FedHDoEFpmUCDMLgpv70LlceDUXWdTxfnY/VB3fASzCZA+YXpGFh+JU3r1jAkLqlx7hs7OUgcqFgGDro2v7+HfHwyLw56DVRiWE8WiErliG25uYMzJMTikcGBN9TWRD/jRQzBfiee7P5bn0lqakXe8uAa2dYHEmaDXxShfrhV7v7hkvP3udi6/uvwTDBtrm58U78I/KsW7/OvEFAPoZcuWpUCBAkyfHpr9Mhi9LFmy0Lt3b+nL3JoaQDc3j8trrxpAlxdPVZqKgOIQkONhYvO5x/TbeAnnnClY1V6T+fBbW1YNHnpCg2VgX09xOKgKqQhEGwKB/rCoHDy/AnnrQcNl4U793MeX4hPciR0Lro6qQnzrSOosamvAuwcaSkmRySse8mOHycTSQo4c+4YW06hdjAwBXddFg3nHOfvwHbObFaRGvnThW/39O4hSIIHfoPcVSJLJyNCRV93AoEBKrC0h1cnbXmc72RJHTM1+4u4bmi46SZbk8fEYoMwLbCLA0XR3U4kyN6o0u/Iiq6M0sT6XV9d8zvnDvq6jdJMepuu+YdKgqMZJCMi1No7feU2zxafIkSohB/uW+R3dI5Pg8Fgo1ApqzTJa9D2feNL5YGdyJMnB1tpbf7PD++0XnCceljLwb45xMauX7YJ2XdSWFVmUK1xWUCh1IQkf/0B/dt/fzdKrSxHUuaKJi1x1c9SljX0bKVgdUVtxbQWTz06Wfj2yxEga5mr4q+u1rbCxDcRLqql3q+OlP5HtPvC/gXwL/IZdcjve+b7j2edn0jwiA3FAkQEkEVmvapN1z1DhND0E5DpPwkVGfAYclxZE7eqeFyCZ8sol6erRvw78JWVC9y7UW2Lh0Ladvv+WRgtOKPrZQ1tb9O63uBI8Pg3lR0Dp/nqJE+fUjrs72Hl3Jy++vPgpK0uiLNTOUZsa2WpozRIQPFicgx/9P/LJ75P0rygDI33v9xERpM9ok5EMNhlIYJVAL92NcbA5BtBfvXpFggQJiB9fHqYbcbEjTpw43Lx5k8yZf5VyrVOnDkmSJGH58uXS0nj58iUjRoxg7969vHjxgqRJk5I/f35cXV0pUaJEtCwfNYAeLTCb7CRqAN1kXasapiKgQUCOh4ng+rW1C6RjRpMI6teuaw5eu6D6VCiq/Ydv1U8qAiaHwNGp4D5K81Kt2xlImDJCE4uPd+f5B1/WdSpO8WzJ5YEiMADGptJkv/f14mlQEuJZWZA0gbXW8uXYN7SeTO1oNAjoui5K/XuIx+++srlLCQpnThaxvT9LgXhAugjOGqNBSz9FH/g8oOa2mtKL/lPNTmHxB6rwp++/4vTPISxjx8JrjAuWFlG/NKOfttqNFi+Dhh4bSqr4qXCr74ZVbCvtBiqhV3CwxDIudD8LSTIqQSuj0EHXfcMojFOV1AsBudbG9otP6LXuIiWyJWdtp+K/63R6EezpD3lqQuPVeukck4NF3VTXE66USl+KeRXn/abKF78A7Ebuk34uLmYmjCPTxcyYNDoKcweXPbFNZsuyKsvYdmcbK66v4Pnn55IUkbnfxLaJVOM3eTztPnPPPD+TRVcWEYtYTC4zmcpZKoMIpgk2kueXocxgKDckClr+6ioyP8edGofIji+ToYzENiMum826MIv/3fifdBkgWdxkDCw6UMpCVLMP5XmvoZOz1EGKR0Cu8yRCQ2cWhLf3TIqBSGQ+l11floDvAeyss5MsibNo7ef7rz9TbrIH8a0tuD46YpYsrQUaa8fnV2F+SYhtCX2ug01qWSwRF6lFuRGRle7+0B3fQF9JrjiLHNM6UjFTRYII+hUMDxMY/xkw9/v4c2xkionzJkPCDFIwXXxJgfWEmn9Txk9J7FjKfL6MzK4//d4cA+j64BXeWPHZJG7cuDRq1IgVK1b87BI2gO7s7Iy/vz8TJkwgW7ZsUhDd3d2dfPnyUb16dbnVCleeGkCPFphNdhI1gG6yrlUNUxHQICDHw0RwfdU2TllwrZU3fGi3d4MLq2W5ean6TkXAaBF4fRvmldRk0daZDwWa/tGULqvPsffqcwa52NKlbHb5zBa1pEVN6Xb76H8qHtsuPGFkTTtaldDuwViOfUM+Y1RJSkFAl3URFPSd3CP24h/4nWODypEh6R9uO4u/nRdXocUWyGE+9LPh+Xf/g/30O9KPvMnzsq7Guj8uAYGx7Ug3/AKCODqwHBmTyXOjXO515xfoR+VNlXnj+4ZJpSfhktVIXriJ2oaCqtfHW69gidx4Gos8XfYNY7FN1VM/BORaG8EXfWvmT8espuFcvrqyCTa3hyzO0GaXfkrH4Og5F+cw/9J8GuRqwN8l/g5Xkzwj3PjqH8iRAWXJnNy8ssne+r6lxpYaUoZdXIu4P4MGKeKloKVdSxrlavRb3fjI3CkC2qNPjmbTrU1YxrZkToU5OH35Aqvrg8jW63MV4v/hYmA4EwiZwpcLLi+Qfls/Z32GFx8uyQ9ugsb37+N/c+f9HelH4tLEiOIjSJcwAhafyAwxkd/LtWeYCByqGSEQMPjaCGZbrL8EHBqYBPbBF1sjYjX5k5GfvwWQ92/Nha1ro6qQwMwubP3EZnc/OLMY7GpDo5UGWRciW/zAwwNSMP3ci3M6zxHfMr50BiayTkRCq4QksE7Ah28fePzxMe++vfujXHGhWzC2hA2sBwfbxe+NsZlqAN3e3l5yx+rVq7GwsKBLly6MGTNGuogXlsLdy8uLDh06cPbsWSmwPXPmTCpVqsTWrVsRQfDImpA5YMAApkyZwsWLF3FwcJCGhAygv3//Xso49/DwoEyZcJiiIptEpt+rAXSZgDRTMWoA3Uwdr5ptPgjI8TAxZMsV1p5+RJ+KuehVMXSNuJ9I7h8Ox2dBie5QZZz5AKxaqiIQjEBQkIbi99FxyF4BWmyGWLH+iM/C/+4yfo8XVfKmZkHLIvJhubwGPDiKX635FNqejE/fAtjYuQRFs2j3kk+OfUM+Y1RJSkFAl3Xx+tM3iow9KJlwa2xViVo2wvZj3WJCL6d09Z3IQFt4eSH1ctZjlFPkNXsrTPHg7qvPrG7vSKmcKXSd1uDj5l2cx9xLc8mfMj+rqxlJJqjHv+AxHhJlgO5nwFqZFxQM7jwdJ9Bl39BxKnWYkSEg19qYsPcGC47co13JrNJlwd/a3UOwqi6ktocunkaG0i91hx8bLr1A71GwB53ydQrXjmDGly1dnSiUKanR2qqr4iJz+5/T/0jDReZcW/u2Eu2tPi/3RSagoFnf/3A/8SzjsdgvEfkenoHi3cBlfJRUDQgKYPSJ0Wy9o6Hg75q/K53zdw43u1zQ7grqeRFo9w/yl+YWJVCa2jb9IytNlBQyss5y7RlGZraqrhYIGHxtbGoPVzdB5XHg1F0LjZTfpffh3rg/cpf2oG4FukVZYbuRbnzxC8Sjf1mypDCvC1sSWN8+gWBP8/sILbdBdsOX0fL+6C3Ru19+fRkREBcU7CIYHjIwLn4W/PPg7wU9e8hLWmGdLejcn3x6gpAvvkRQPfhfUVYkUDAbRtDE2bSk8hIcUmoCp8bUohJAF5ffvvsHxYh5saxia81CI2qgnzt3jvbt20uBcxEY79Spk1QTvWPHjqEC6EFBQdjZ2ZEpUyYmTZrEx48f6devH6dPn45SAF0E25ctW0ZgYCC7dmkuqoYMoAcEBEgBdBGo/+effyTK95hoagA9JlA3nTnVALrp+FK1REUgXATkeJjovOocbteeM6Z2XlpGlMF6dAq4j4YCLaDOHNUbKgLmh8CZJbC7ryYjpdtJrWo4B9cPS2kTh9NDK2j9wThScH8wQtyy60nl88VJnySelJkaWxRc16LJsW9oMY3axcgQ0GVdXH3iQ41Zx0iRMA5nh1f8s8UbWsP1bVB1Ijj+ZWToyKtuj0M98PD2YHCxwRLdbGSt3fIzHPJ6ybi69jR3/FV/LLJx0f37119fU2lTJUQQYW31tdin0NyQV2zzeQyzimjqXjZYCvb1FauqUhXTZd9Qqi2qXvIiINfa6LfhEpvPP2agS266ls3xu5JPL8DCspAoPfS9Lq8R0Sitw/4OnHp2inGlxkn1scNrtWcf49JjHxa1KkIlO3moZKPRRL2nEsHuDbc2kDRuUoni9k8Bg6hMJhhUurt358SzEyQODGT5i7fk6HoOEkdcQz2s/C/+X+h/pD9HnxyVqHBFRrlgE4is3fO5x6jjozj/8rzU1SGFA65OruRKmiuyoSb3e7n2DJMDRjVIFtbFP8JoYskiYj8qs76MxNSxqeYmcifLHeVVVHbSYR68+cKGv0pQLKt2l/SjPImSB5xbATt7QrJs0P0cxDY9inMBv7jAJUqhBAfURXD98SdNgP3hh4d8DfgqfSYRn02MrUUlgB7kF8jTkcdjxMR0o52IbW2h1dwigC7qjV+7du3nu8XBgwezY8cOrl+/HiqA7ubmRs2aNfH29iZNmjSS/IMHD0Y5A10E0HPlyiXRsR8+fBhB1x6Wwn3z5s1SAP/r168UKlRIykRv0qSJNCa6mhpAjy6kTXMeNYBumn5VrVIR+ImAHA+ajRacQAT6BC2ioEcMt51dCrv6QO7q0HSN6gEVAfNCwOcJzHHU3EB2+ReKd9bK/q9+gdi77iMw6Dueg8tLgW5Z2pFJcHgsnjYuNH/Vis5lsjO4qq3WouXYN7SeTO1oNAjosi7cb7yg/Yqz2KdPxK4ezn+2VZwh4izRo6ao0YAZiaIum12kTIClVZZSNE3RSM1y3XGN5ccf8FfpbAyplifS/jHZYejRoey8t5Ma2WowwXlCTKoS+dzBGUeZnKDtnkhZRSIXaH49dNk3zA8l87RYrrXReulpjtx6xcQG+WhUJOPvYL57ADPyg2U8GK6ph22MrebWmjz48EDK9CqWtli4JgRfpvqnngNNimUyRjMVq7MIOHVcW5bL37+SKpY1K+vtkChttWmCXl4E4K+8viLRy4t652UzltVmqNRH1EkXNPLTzk3jk/8nLGNZ0s6hncREoE92vdYKKKSjXHuGQsxR1ZARAYOvjRNzYN9QyFsPGi6TUfOYEfV/9s4CrMqki+M/KQNQFEWxCxO7u7B71/rs2rXWXtd11bW7u7u7GxVFDGwRxS4URVABQZrvmfeKsRK3uRffeR4e486cOec/w7z3nXPO/zg/c2awy2CJqePwL4fVCuJvvfQ8l5++Z1H70jQubp80hiTlrMtqgM8NqDseqgxMSk2SbG5BKd/1aFdEhrtLGxdSmaVKMl3UmTi5OtAFFfvq1au/QLJv3z5atWqFcCDny5ePQYMGST/z5s2Tfh4/fvylbywmqlC4x/bt3r07ghL+/PnzPzjQxQRifldXVy5cuIBw3otM95UrV9K1a1d1lk/lMbIDXWXI5AHfICA70OXtICOQzBHQxstEvTlnuP/mI5t6VqBK/nioYT33wI6uIC6Zux9J5qjK5skIfINATAxsaQf3j0L2clLdcUyUixAVUposcOX2y0Dtvnze2g67f+NSTGHaho3myMBqFLZPq/SyaePcUHoyuaPRIKDOvth48Rmj9t7GqbAdK7sk4gg+OQFcZ0K536DxTKPBRduKChq9ylsqS2LPtTtHupTpEp1ijdsTxh24Q4OiWVjaqUyi/ZOyg6e/J+0OtpMyA4//epxMaTIlpTrxz/3sAqwRddpTQK8zYF/CMPU0cK3UOTcM3CRZPS0hoK290WieK3d8AlnTrRy1Ctr9qF1oAEz97Ewe+RrMtRSsqCUclBEjqEPLbyovZQseanmInGnjdo7/ueMmO696M6x+QfrViiMbX5nJ5D5xI/DmDh+WVaGrfWYeWZiTK20u1jVYh21q2wQRE1l6fZz7SJl6NiltWFB7ASXtSqqF8pvgN0y+NJlTL05J43OnzS1lo5fJbNjPfbWMjWOQts4MbekjyzEcBHS+N27vhp3dks1d19+uf3Po8SG6FOnCn+X+VGsh+266ymGP14xpWoRuVfKoJcNoB728BitqgakFDLkLloZbPkuXGIvgrvq76ksZ6rNrzqZurrq6nE7rslVxoBsThbuyDnRB675gwQIePXr0BVtNHOgik11kom/ZsoW1a9diY2Mj/RlfE5TuJ06c4NmzZ1pf27gEyg50vcCcbCeRHejJdmllw2QEFAho42VC1K8VdWwPD6hGkazxOOEeu8D65pCpsIK+Wm4yAj8LAh47YVcPxQtUL1ewUz7TW0A0eu9tNlx8Rs+qeRjVJI7anerg+PwSrK6Hd0xGutus5tig6ipFlmvj3FBHbXmMYSOgzr6YdfweC049pEOFnExqmUhttAuL4dgIBU22oMv+Sdu1N9focrQLWSyzcKLVCaVQiM30F4EyImDG0FvnI5257ntd7bqLOrcvOkpB+fz6FpTuAs3m63zK5DqBOudGcsVCtut7BLS1N8pPcsY3KIyD/avimC2OgCMR6DjeFkQNzyFekNb4MuXeh76n+rbqEoBXOl6JN+s40Xrw8iZUH4Fdv4HHdt4Ubkhn0/e8Cn5F4QyFWVV/lVRvNq52x/8OfZ374h/qT1bLrCytu5Q86TR3NIns0UmXJiHKoojWukBrBpcZHK8e6httWCO1dWYYllWyNtpAQOd7IzaoMn1uGHhTGyonmYyIqAjpeSLYLDY03KB2QE8s+1Xfmvn4q4Fq9x9JZry2Jt7fH66tB8dW0GqVtqQapZzZV2ez5vYaqWzKnFpzjMoGVRzoxmJYLIW7oGuPbSNGjEBkocdH4e7t7U3mzIqyPydPnsTJyUnlGuiCsl20YcOGcejQISnT3dbWNkEH+uzZs5k8eTJ+forvMrpusgNd1wgnb/myAz15r69snYyAxg50EWnnMPIIkdExXBhRG/t08WRt+NyEZdXBKgv8eU9GXkbg50Ag2B8WlYcQP6j5D9QcrrLdu656M3THTcrkSs+uPoqsU41b0GuYVZComBQsq3aBvk6qUTrr/BJCYwNlAUmBgDr7YtiOm+y46s2f9QrwR22HhNW+uRX29IK8NaHzvqQw0SDm3OK1Rcowq569OovqLFJKp4e+QTjNPotVSjM8xtZTKWBGqQm03OnY02NSLdgMqTJIQQIWIgBJhSYyHkSgwcHHBznrfRZ7K3taObSifu76pDFPo4KkeLqKSzFxOSay/wdc+2kzSzQHUjuBnNrQQ5ZheAio80z5rxXR0TE4jDoilcK59E8dMqeNhz50ej7Fd7U+FyCzloIV9QjpXf+7tDnYRjozz7Q9E+/My88+YvJhL1qUzMrcdqX0qGEyn0qUAZhfWhGE8fsZnlraSIFugppdZH8vdVr6A3Xt+ZfnJYrkkMgQCmUoxOI6i7XKuBIYHsjsK7PZ9WCXBL6gYt7ZbKdEpZtcmzbOjOSKzc9ul873xpdSIKlAMJmkSGG0kJ97eU5ixciYOiMnW5/EJIV6tbsXnX7IjGP3aF0mOzNa/0QsTYLVZlZhiAiGrochdxWj3QvaUNzrnRetD7TGwsQCl7YuRhXIlVwd6FevXpXqjffq1Ytr165Jf581a5b079y5c3+hcI+KiqJo0aLS/02fPp2goCCGDh3KpUuX2Lt3L82bN090i6RIkeI7Z/u7d+8QGfBhYWG0bdtWcqD7+/vTunVrBMW7qHlubW3NlStX6N+/P40bN2bVKv0EocgO9ESXU+6QAAKyA13eHjICyRwBTV8mAkMjKD72uISS14QGpDKPh5r6w3OYWwxMU8KoN0b9UpHMt4RsnjYR2P073NoGdkWkCzXMVHMCCVUev/1I7VlnSGlmgsfY+liYqfcS+61ZvoGfSDsrB6lSRPCq8wWy5lXtsljTc0ObEMuyDAcBdfZFp1WXcH3gx4xWxWkdV23ab817cAI2tYIsxaG3q+EYrmdNxl0YJ9U67VmsJwNLK1dTLzQiisL/HkUkWl4d5YStVUo9a63adBHR+DWKIQAAIABJREFUETTc1ZA3IW+YVHUSzfI1U0rAk4AnHHh0QKKdFNl//21W5lY0ztuYVgVaSQ4LtZq4GFtQBoLfQv3JUKmfWmLkQQoE1Dk3ZOx+DgS0sTf8P4ZRZqKzBNiDSQ0xN43nO9SCsuD/ALoegtxVjQ7g089PM+D0AIrYFmFbk23x6h8blFnNISMbelQwOjsNVuGDQ+DKKshXGzrtkdQUQQ3dj3WXsjhFPfM5NedIpUlEE8+pf93+JTImkgr2FZhbcy5WFlY6Me/y68sIOmbfEF/+KPkHvUr00sk8hiBUG2eGIdgh66B9BHS+NyJCYZIiQ5O/nkCaDNo3Qk8Sx54fKwXetC3YllEVR6k96/bLL/hr1y1qFMjEuu7l1ZZjdAPdV8DhPyFjQeh36ae/9xQJVy32teBxwGMmVJlAi/yKTGRjaMnVgS6c4tHR0WzevBlTU1PJcS4yvYWz+1sHulgjUbNcUKlfvnxZcnzPmDGDpk2bSjXK69evn+gy/teBLgZMmTKFf/75hy5dukgOdOFMHzt2LMePH5fo4iMiIsiRI4fkVBf9UqfWT2kl2YGe6HLKHRJAQHagy9tDRiCZI6Dpy8Qz/2BqzHAhjYUpd8aLWqDxtLAgmJJd8eE/PmChhQywZL42snlGjsADZ9j0K4io7R7OkF29+oPipaPk+BMEfIpg/x9VKJ7dRmNgRD3kascakd/kFXTaC/lqqSRT03NDpcnkzkaDgDr7ou7sMzzw/ciGHuWp5pBIrWvvq7CyNqTLAYNvGw0u2la0w6EO3PK7xYzqM2iQJ4Hn7n8mrjTlJD4BoezuW5nSOdNrWy2ty1vpsZJ51+ZJFLjCISRewONqIsPvyJMjHHx0kNv+X/eFyLITtfYa5G7Avff3pKADUWs2tjnaOkqO9IZ5GqqWlX5sJFxYCLYO0Oe8WoFRWgfLiAWqc24Ysbmy6iogoI29ce91EPXnniV9GnOu/1sv/tnXNIJnbtB8MZTqoIKWhtF1893NTHGfQp2cdZhba268Srnc86XrmssUsU/LYSMo52EY6CaixUdfmOMIUWHQ5SDk+VomRTivRSZnWFSYFAgmnAeCynbuNcUaNcrTiIlVJmJuaq5TU8Uz8q+zf2Ftbs2RX4+QTrCnJMOmjTMjGcIim6SvYL1peeDTO6NlMhEbJSo6ito7akvsGcvrLqdS1kpq75/T93zp9rM9b0Sk8pIq4OsJDaZCxT5q45ecBi69uZRFNxZRyb4Sy+stNxrTkqMDXVPw3dzcqFq1Kg8fPpRo2JNTkx3oyWk19W+L7EDXP+byjDICekVA0xfN68/f03LxebLZpMbt79rx6y6+TE7ICNGRMPgOpMumVzvlyWQE9IqACBhZXAkCXkDFftBgskbTd1ntzpn7bxnXrChdKufWSJYY3GKRGwNfj6CW6U1oOg/KdFVJpqbnhkqTyZ2NBgF19kWxsccICo3kxODqOGSOu0boFwDePYH5JUFQcI/0MRpctKmooCavuLkinyI/sa/5PvLa5FVafNtlF7j05B1z25akRSnDfwZ/CP1A3Z11CY0KZV2DdZTOXPqLraGRobh4u0hOc7eXblIWn2imKUypkq0KTfM2pUaOGqQ2+xqxLrATzgzhSHd+7kyk+D4CpDFLQ6O8jSRnelHbognj6fcAFldUfJfpsAscnJTGX+4YNwLqnBsylj8HAtrYG+ce+NFx1SUKZLbi+OAa8QN3Ygy4zYWSHaDFYqMDOLbGaIfCHfi7/N/x6u/hHUDThefInDYll/6Rzy+tLLTzWDg3B7KXgx4nfsg2FOwAgqo9KiZKCgi7++6uNG3Xol2luuTq0iOrort4/v26/1cefnjI78V/p3+p/qoMN5q+2jgzjMZYWVGVENDL3hCO0ze3oeMuyG+c5+uV11fodqwbaS3SSnTb5ibqB/fcfhlAkwXnyGSdkssjjRMPlTaZ6PzCHVbVBbNUMNQLUht+wLLKNqox4HngcxrvaSw970RZAFEewBia7EBHol+3srLCwcFBcpoPHDiQ9OnTc+7cOWNYQpV0lB3oKsEld/4PArIDXd4SMgLJHAFNXyZOe/nSbe1lHLOl5WD/rxH3ccI2I7+C8rS3G2RxTObIyub91Agc/gvcl4FNLuh7ASw0qzc41/k+c50faKVmZSxrxATzNXQyPQFVh4DTGJWWS9NzQ6XJ5M5Gg4Cq+yI4LJKiY45J9om63NapErmkEdTZU3Mq8BD1Bc31Q+dlSAvwLPAZTfY0IaVpSi62v/iFDlYZHf/aeZPtV7wpkT0dE1o4aoXNQpl51ekjysMIR8+8G5O5G3yCNBGlmFNrFuaWT6W65sefHpdocWObcHw3zddUyja3TW2b6JQis2b/w/0SReXTwKdf+gvnhnCki6zAOOl0N7WGB8fBoT502J7oPEnV4drz9/gGhlI5f0bSJvZ7lVRKfp5X1XMjidWVp9cjAtrYG3uvv2TQthtUzmfL5t8qxq/9Q2fY+CukywmDPfRopXamEtnFIst4aJmhdHWMPyjy1YdPVJ56CnPTFNyf2DBeZg/taPUTSBHfS0T2eVggtNsChRrFafT+R/sZeW7kl8/+KvcXnYp00itAJ5+dZJDLIClo7OivR0mfKvk5drRxZuh1UeTJ9IaAXvaGeIaIZ0mzhVBav7/f2gJymvs0Nt7dKDFmiBJKmjTfoFDKTxI11EUJlUaYir8k97anD9zcDCXaQ8slyd1alexrf6g9Hn4eUpCfCPYzhiY70GH9+vVMmDCBFy9ekDFjRpycnKR66ba2thLtu/iJq1WrVo0jR44YwzJ/0VF2oBvVchmcsrID3eCWRFZIRkC7CGj6MqFSLb2F5cDv/g/0dtq1SJYmI5DECDy/BKtFPaAYtejR49JeZJ+LLPTctmlwGaYa3fp/5S04+YBZJ+4zJfNp/hewAhx/hVarVQJN03NDpcnkzkaDgKr74tHbj9SZdQZLC1M8EyoBEouAzGTCiWcnGOIyJNE6t3FtGkGl2Gv9VcKjoqWPm5XIyrD6BcmRIWlLqoRFRnHXJ4ibLz4ofrw/8OhtsKSjScrXWOadS0yMCSmi0oLZhy+m2Vva0yRvE+lHlUz8b7ERJTKuvLkiZaULbEXtddFE5rqgdm/l0ArHjI4KJ9P947C5NYhsnL4XIWN+g/zdFBm3Xda4ExUdg5lJCirkzUCdQplxKpyZnLZJu9ZxAabquWGQoMtK6QQBbeyNFWcfM+nwXZqXzMq8dqXi1zPsI0zLpWCXGHgL0ufSiU26EtrlSBeu+V5LtLRHaEQUhUYfldS4OaYe6VKrn12oK1uMSq7rLDg5HjIVVpT0MDGJV/3t97az6e4m+pTsIwV76buJ513bg22lDPhuRbsxpOwQfaug8/m0cWboXEl5AgmBxYsXS7V0fXx8EPV4586di3C4xNVWrFghOXFu31aU6SlTpozktClfXvm62nrZG/v+gOsboNYoqDHM6FZanBH1d9XHJ9iH+bXmUyunZncO4nuow8jDRMeA+8g62FmnMjpMVFI45B3MLgyRoYryfTnKqTQ8uXfecGcD0y9Pp3im4mxqtMkozJUd6Akv07t37xA/cTVRtzxbNsNnvPtWd9mBbhS/lgarpOxAN9ilkRWTEdAOApq+TKx0fczEQ3eli/j5/0vgYkqou6oevLgEbTZAkWbaMUCWIiNgSAhEhsHSauB3D0p2FFzpWtEuICSCEuOPS7Kuja5LBksLteSKF2On2Wck59SWKm+odHUwZCsLv51USZ6m54ZKk8mdjQYBVffF+Yd+tF95ibyZLDk1tKZyds5wgGBf6H0OshRTbkwy6rXw+kKW3VpGy/wtGV9lvMqWeb8PYfbx++y58RIRjyCyEDtVzM0ftfOrfa6ookR0dAyP/YK/OMqFw/yOTyARUTE/iMmRITUlstvwyHQW3qG3FJ9Hp6Jhnvq0LtScMpnLaJX69n3oew48OsDOBzt5EvDkiz4iK717kc7UPfwvpv6PoHJ/qDdRFbP11veh70daLnaTyiKIms/vQxQBAbHNwc4KpyLCmW5HyRzpDSIbSNVzQ29gyhMlOQLa2BtTDt9l2dnH9Kiah9FNiiRs08q64O0OzRdBqY5Jbr8qCtTbWU9yemxouIGSdiUTHOo45hgfwyI5NbQGeTNZqTKN3PdbBCI+wdxiCna1lsuhRFuDx8fV25W+J/uSyjQVh385TKY0mQxeZ1UU1MaZocp8cl/1ENi2bRudOnWSnOhVqlRh2bJlrFy5kjt37pAz52emqW9Ed+jQQepXuXJlUqVKxfTp09m9ezeenp5KO2j0sjdOTYKz06Fsd2gyRz1wknCUp78n7Q62k4JIz7Y9SypBQ65hKzvRGb+PYRwaUJWiWdNpKM3Ah19YDMdGQGZHxXuqCL6V2xcE3oa8pc6OOsQQIz1/cljnMHh0ZAe6wS+RVhWUHehahfOnEyY70H+6JZcN/tkQ0PRlYsYxLxadfkTXyrkZ2yyR2qGb28L9o9B0PpTp8rNBLdv7MyAQ++JsaQd/uGu17lXtWS48fhvM6q5lqV0os1poer4KoPH8c1iYmXC9ZyYs19YBy0ww7KFK8jQ9N1SaTO5sNAioui92X/NmyPabiVPrfovAogrw1gs674e8CdSzNRrUVFN0wKkBnH5xmuHlhtOxiPoOHnEWTD3ihesDP0kB65Rm9K6Zj+5V8pDawlQ1pRLoLYJ27r/5yHHP11x84s+tFwEEhSlqj3/bRFCQoJYvkcNG+imeLR22VimlLs8CnrLmykJOeNrz0icfjllt2fZ7JSxTmmlNz28FCZ2v+16XstKPPT1GeHS49HGuiAi6f4qhaXc3zC0Nr3bfu+BwWixy4/m7EMrmSs+m3yrw6kMoJ+++wfnuGy4/fS9lpcc2gXmtgnaSM71agUxY6QjPxBZJ1XMjMXny58kHAW3sjSHbb7D72kuGNyhEn5r5EgZHZBKLjOLi7eCXZUYDZFR0FGU2lpFqbJ9odYIsllkS1L369NPSObGzdyXK5s5gNHYanKLuK+Dwn2CTE/pfB1PdPJO0abd4vnU60ombb2/SvlB7RlQYoU3xSS5LG2dGkhvxEyhQoUIFSpcuzZIlXymuCxcuTIsWLZgyZUqiCERFRUk1eBcuXEjnzp0T7S866GVvXFkNBwdDwUbwvy1K6WVIneZfm88KjxXUy1WPWTVnaUW1RvNcpUDZNd3KSd85k20TUcmLyivYNhvPgnI9k62pmhjW83hPLvlcYkCpAfxW/DdNROllrOxA1wvMBjOJ7EA3mKUwSkVkB7pRLpustIyA8gho+jIxYrcHW9yfM9ipAAOdHBKeeE9vuLkFnMZB1UHKKyn3lBEwBgRe34blNRT0n63XQdEWWtV66Pab7LrmzYDa+RlSr6BasmMzsRoVy8LiX/LCtNwKOf+8UqlOu6bnhlrKy4MMHgFV98Vil4dMP3qPX0pnY3abhDPmvhi/phE8c4NWa8DxF4PHRJsKBkcES9SKAWEBrK6/mnJZNKcGdH3wlimHvaTLLdGypE3FkLoF+LVMdrWzk0WW+fUXHySn+THP1zz1D/kOhlTmJhTLlk7KLhfO8pI5bMiePnX8tXiPjYQLCwmzK04fv9acCslH7UJ2LO9UBjPT+OlytYH9h9APbPFYxabbqwn4TM1rl8aOrkW78qvDr6QxNwxKdEGD32mlO+5P3yEy9/f2rfIlACEWB8Fk4nLfl5N3fRF0/iJLPbZZmJpIVO91i2SmTuHMZLNJrQ34lJKh6rmhlFC5U7JAQBt7o9OqS1Kg0MzWJWhVJnvCuDw6BRtaQtrsMPi20WSPvQl+g9NOJ0xTmHK141VMTRIOghIsFdeff2BpxzI0cEzY2Z4sNpIujIiKgPmlIeA5NJoJ5Q3fERALg3BeCCeGuYm5lAWYWMCFLuDTlUxtnBm60k2Wq0AgPDycNGnSsGPHDlq2bPkFloEDB3Ljxg3OnDmTKFRBQUHY2dlJMpo0aRJn/7CwMMRPbBN7I0eOHAQEBJA2bdpE51Crw72jsKUt2JeEXonbodYcOhzUbG8ziYFpWrVpNMrbSCsziRJ0ohTd9FbFaVPW8DOO1Tb66TlY2xjMLWGoF6TS0R5TW0HDGLj7wW7GnB9Dfpv87Gm+xzCUSkALZRzouXPnRtCVy834Efj06RNPnz4lT548EtuJ3GQEVEFAdqCrgpbcV0bACBHQ9EWz94arHPV8zfjmRelc6bMzLj4cjo6Ai4uhyiCoO84I0ZJVlhGIBwFRO3NVXfC9A4WaQNuNWr943XjxGaP23qaaQ0Y29Kig8lIIp1aVaafwCQhlacfSNHC0hyk5ISxAUc/XrrDSMjU9N5SeSO5oVAioui9EDXRB4Z3VJjUV89oqZ+vWDuB18KeM7l9+azkLri8gp3VO9rXYh5mJdrLdxNmw/+YrZhy7x8sPn6R1KJjZmuENC0rZIlL970RaeGQ0Fx77Sw7zE3fe8Dbo66WlYLyolj8jtQrZUTpnegpktlLe8f32HiyuBDFRXzQ4HF2RSeH/o3bFstJ3D2X0S0z/BD/f35+Q6xvYka0A69Na4fvprdTdJqUNHQp34H+F/ke6lElHSykyCv/ccUsKsBJMArv6VqZAZusETYqIiuby03eSM11kqP83yKF49nQs6VhGL450Vc8NjdZSHmxUCGhjbzSc58pdn0DWditHzcSy38JDYGpOiI6AAdchQ16jwOuG7w0pq1g4QkUGemKt57rLON/1ZXLLYrSv8CNdcmLj5c9FAfmtsKeXgsVpkAeYG9fleY9jPXB/7U6rAq0YU2lMsllSbZwZyQYMAzXk1atXEu26m5ubRMke20RN83Xr1nHv3r1ENe/Xrx/Hjh2TaqLH5+QYO3Ys48b9eN+kUwf6qxuKYHqrzPDn/UTtMKQOjz88pvm+5lJgjaBvt7LQTnmPP3fcZOdVb4bVL0i/WvkVJotsbXGGpkoHBRrA5wBVQ8JDJV28r8Le3ors89JdoNl8lYb/TJ1FEHit7bWIiI5gV7NdFEhfwKDNT+iZEhERwcOHD8maNSvp0iXde6BBA2hkyvn7++Pr60uBAgUwNdUeI5+RwSCrqyYCsgNdTeDkYTICxoKApi+abZdd4NKTdyz4XymalsiasNlnZsDpiUZHjWgsaynrmUQIiJfAnd3Bc7fihbmXK1irR7GekAW3XwbQZME5yUFyc0w9TEwSd2p9K+/SY3/aLr8ojb88yolU5qawtCq89oD/bYOCDZQGUNNzQ+mJ5I5GhYBe9sX+AXBtHdQaCTX+Mip8NFE2MDyQBrsaEBQexNRqU2mct7Em4uIcGxoRhQjUWXDqIQGfFLWzK+bNwIiGhaVM8f+24LBIXO69lZzmp718v6NmF+eMcJjXL5qFGgU1oAePLf2Srw6kyw7X1oubN8JizFke1Rir2sPoVttR61h8EShdhtaU5qT7ccKzlWL/o/2svr2aF0EvpG5pzNLQtmBbOhXplCT1ZGOZHExNUrC6azlqFFCtpq1wwD96GyzRvAtn+tVn7xFM7383LETvGolQXmsBeb2cG1rQUxahfwS0sTdUrr+6ugE8v2BU5aaOPj3KsDPDKGVXivUNxRmZcBu+8xbbrrxgaN0C9K+TCHtYYsJ+xs+jo2FJJUU5mTr/QrWhRoeCKFPS+UhnzFKYsb/lfqOoRasMyNo4M5SZR+6jPgKxDvTz589TqVKlL4ImTZrEhg0b8PLySlC4qH8+depUXFxcKF68eLx9kyQD/aMvzBRnagoY7WcUZR1iAYwN0q2WrRqLnRarv8D/GTn9qBeLXf5T7vHeEdjSTtHTrghUHwZFWhifIz08GET5vktLICYa0thCjxNgq/vvzlpboCQQFFuOrIdjDwaVMWxW0oSeKeL96fnz5whHunCimxh7IEgS7AVDmVKsZUhIiOQ8t7Gxwd7e3lBUk/UwIgRkB7oRLZasqoyAOgho+qJZb84Zqb7ppp4VqJI/kZqgD07AplaQLociWl+JrDZ1bJLHyAjoFYHzC+H4SBDZoF0PQc6KOpk+Mioax7HHCI2IxnlIdfLbJZxh+F8l/tnjweZLz2ldJjszWpdQfBybzdtwOlTopbTemp4bSk8kdzQqBPSyL5zHwrk5UKEPNJxqVPhoouzC6wtZdmuZRHm3s+nORCl6NZlLUH0Lp+ya808RmeWiNS5uz1/1C0p1skXWsnCauz70+/K56JPJOqVEAS6c5pXy2iIyzzVqj11gfXPF2SpYMjI6gM8tOPYPPHWVRL+JseF1ueGUaNRbuxdvH9+C5x7Fpdi7x1CsNfy68os5kdGRHH96nJW3V/Lg/QPp/y1MLGiRvwVdHbvqzRlx9LYPvTdek+af0LwonRJjAlJiQZa4PGLaUS+kUh8dyigxQrMuejk3NFNRHv0ZgcWLFzNjxgx8fHwoWrQoc+fOpVq1anHis2LFCtavXy9lCIpWpkwZRIZh+fLllcZT070RFR2Dw8jDUkCI+z91sEurBB3jqYlwdgYUawO/rlBa16TsuM5zHTOvzKRh7oZMrzE9UVXidGgkOkru8AUBr0OwtT2kTKug+hdZlEbYejv3xu2lG83yNWNS1UlGaMGPKmt6ZiQLEAzcCE0o3GfOnMnEiRNxdnambNmyKlmql70hgmsmZlKUcxt8B9JlU0nHpOzc5kAb7r67y7jK4/jFQXslsta4PWHcgTs0LmbPog6lFSZuag0Pjn9vbqZCCkd60ZaQSBmSpMTpy9yPTsOBgfDhmeK/xHeGBlPBUklGNYMwImmUiA36y2qZlaO/HtU9k5gGZiZ2bojz7MmTJ0SL3325GT0CwnmeJUsWg96TRg9yMjZAdqAn48WVTTNMBIztcio2s+PwgGoUyZpIrR8RpSlqLkeFwx9XFJfhcpMRMGYEnpyF9S0U9MJ6qIHYZtkF3J+8U7mOmHCClZ/szIeQCDb2qEBVh8/BLp9rC1OxHzSYrPRKJPYyobQguWOyQkAv+8JtPpwYbVTODU0X+X3oeyn7PCQyhDk15+CUy0lTkUqNF3Tus4/fZ/d1b4lt0cwkBdExMZIzKrbltk0jOczrFc1MqRzpVWbGiFeR6ChYVgPeeED5XtDoG6dQTAwxXgd5t2c4tuEvJRHBGYtj2WyGZgFMohSHcIx4bAdxMRZLGy8ySgSzSBwXoSJi/az3WVZ4rODm25uSLqIOcYM8DRCZFQ7pdfc955b3B8QzQQRVda2cm7HNiiq1rol1Ov/Ij/YrLkl16c8Nr51Yd40/18u5obGWsoBt27bRqVMnxHtKlSpVWLZsGStXruTOnTvkzPkjDXiHDh2kfoKiV1DsiqzB3bt34+npKdH3KtM03Rt+H8MQ7ykiXvfBxIbKlY54fAbWNwNrexhy1yiCfae5T2Pj3Y10K9qNIWWHJArtStfHTDx0V2IOEwxiclMBAfEwXOkEL69A1cHgNFaFwYbV1dPPk3aH2mGSwkSqRZs3nfZLFkS+f8/bOXNJ26gRlhVVLz+lKmKanhmqzif3Vw+BChUqSEFV4nkS24oUKULz5s2ZMmVKnEJF8JZwngvq9ooVVQ9W19vemF0UAr2h5ynIrvsgRPVW4PtRLz++lN4zxFlwus1pMqTKoA2xkoxDt3zot/ka5XKnZ0fvyvD+GcwTgfwx8NspuH8cLi5RlJQTLWMBhSPd8VfDdKR/eg/HRsGNjQp902aHpnPBoa7WMEvugj5FfqLmtprSe+2GhhsoaVfSYE1W5twQznPhSJebcSNgbm4u07Yb9xImufayAz3Jl0BW4GdCwNgup8TFscPII0RGx3BhRG3s0ylR/21dUxBORxUzXn+mfSDbaiQIBHgrHDwhflDif9Biic4vWqccucuyM4/5X/mcTPmlmNJAnfJ6Q/e1V8holZJL/9RBUP1K7dJyODJMUbe93Sal5SnzMqG0MLljskFAL/vi+ibY1xfyO0HHXckGu4QMmX1lNms811A4Q2G2Ndmm96joO68CpYzkM/cVtb+LZk0rOc3Fj6hnrpMa5Nc3wr5+IGqLi1rEcWR0RIWHsnvJaBq824B1CkXtdor+AnXHgY2SdX0jw+HRKYXT3OswRH6WI2RlLa3IPBc/VgnToovvQ1feXGGVxyrcXrl9Wc5aOWoxssJIMltqt6yHT8Anmi90wzcoTKJsX9WlrHLOQSV+YwJDIyg+VpEZdHWUE7ZWKZUYpX4XvZwb6qsnj/yMgHB4lC5dmiVLlnzBpHDhwrRo0SJeh8e34EVFRZE+fXoWLlxI586dlcJV070hap+LGui2lhZcHa3k5XbEJ0UddCnY9ypk/FyzVSmNk6bToNODOPn8JCPKj6B94faJKrH3+ksGbbtBlfy2bOqpuiMq0QmSc4cnrrCuCZilUrCpWdkZtbWxVLrKsheoYqx4Lr4cMICgE86kKlaMPDu2qzJcrb6anhlqTSoPUhmB2DuvpUuXSjTuy5cvR7CWiACrXLlySc8IEWgV60wXAVijR49m8+bNUmBWbLOyskL8KNP0tjdW1FEE2LTdCIWbKqNakvdZ77meGVdmUC5LOVbXX61VfUTgvwj2FAG3LsNqwckJ4DoT8tSALvsVc336AO7L4cIiCP2g+D/b/FDtT8V3cFMzreqkljARPHVnHxweBsG+Cpr+cj3BaQykVI0VUK35k9mgEa4jOPj4IO0KtmNkxZEGa53ezg2DRUBWTEZARkBZBGQHurJIyf1kBLSAgLFdTn17yeo1oYGipnJiTVDvCgreAg2g/bbEesufywgYJgIRobCmIby6BlmKKepdmSsRQKKhNbF0vYWyWHN0UHWlpQ3cep19N17RrUpuxjT9Jkvx/jHY3AYyF4M+55SWJ79MKA1VknfUJ6uJXvZFbN084dz8/XSS46trBd6GvKXR7kaERoWyqM4iqmdX/vde27o99P1IKnMTsqdPo23R38sTmeALysDH11BvIlTuH+98IeGR9F56hAa+q2lndho2JxYgAAAgAElEQVQTkdEiHBtiTJVBkDKOi1VBs/fiksJp7rkXPr37Kj9DPijeBhxbqe048/T3lBzpzs+ciSEGe0t7ltZdqrXsPlF7vvXSC9zxCZQCGHb2qUzaVOZaXZPas1x4/DaYNd3KUaugbh1Eejk3tIrOzydME8rdWLSCgoKws7Njx44dNGnSRCkQNd0brg/e0mmVOwUzW3NssApn55pG8MwNmsyFst2U0jUpO7U72A5x7syrNY/aORNnjTh7/y2dV7uj6nfJpLTRIOaODFOwTj0/r3CcNJ5lEGpposS9d/dodaCVJEKUhymYoaAm4r4bG3jkCC8Hf2ZEMDen4NUrmFhYaE1+XII0PTN0qpws/DsExPuJcIyLkiCOjo7MmTOH6tUV53TNmjXJnTs3a9eulf4t/v7s2Weq7G+kjBkzhrFjlWOB0Nve2NYR7h7QCzOdtrZUlyNduOZ7jb/L/02Hwh20JVaS88QvmFozXbC0MMVzTB2YUxQ+voHWaxV07d+20EBwX6ZwpItMb9Ey5FU40sV3c1PtftdV2tBAHzj8J3gdVAwRWfLNFmjGeqX05Mmzo6u3K31P9pXYDk62PomZKNdlgE1v54YB2i6rJCMgI6AaArIDXTW85N4yAmojoK/LqbCwMMRPbBNfCnLkyEFAQABp0yZCwf4f6575B1NjhgtpLEy5M76Bcrb73IRl1cHcEoY/BTPdvkgrp5TcS0ZARQT2D4Br6yB1evjdBdLnVlGAet3fBIZSYfJJRAK5x9j6WKZM/GVDOJjKTHDmU0QUe/tVoWQOm6+T+3rB4gqKOo5/P1c6g15+mVBv/fQ9St+sJnrZFy/cYVVdsMkFg27pG1K9zzfl0hQ2e22meKbibGy4UTfZ3nq3KpEJT0+BM1MV52o/dzBLOAPaNyiUlovOkzbAixlWW3CM+LwvrLIoMkOKt1PUR39zR+E099gFAc+/KmGVWUEVWayVIutc8D1roT368AiRGfo08Ck2KW1YXGcxxTIpzxwSlwrR0TH02niVE3feSFm14kzPkUH7AQ2Dt91gz/WXDKlbgAF1dEdDL2zUy7mhhfX8mUW8evVKygZ0c3OTKNljm6hpvm7dOu7du5coPP369ZOod0VNdEHpHlfT5juKkL/7mjdDtt+kav6MbOypAn107BkkzoVW2s3GSxQoNToIKlT/UH+JoaSIbZFEJXi+CqDx/HNksk7J5ZH6KQmSqFKG3kGUIROOMcFYYpoS/rgM6XMZutZK6TfszDBETdraOWozr/Y8pcYk1iny3TseN25C1PvPTjDhBN2xndTFNHsGJjav/DxJDKGf93O97Y3DfymcwFWHKL6DGnjz++RH7e21pYDPE61OkMUyi1Y1FkGfRccck2R6tQ8n1e6uYJlJUSM+vnvAsCBwXwHnF3wNchXvBNWGKlj/9OVIF1nn19bD8dEKinnh5BWlO4RD3zzu7zFaBS8ZC4uIjqDO9jq8D3vPUqelVMn2lVnCkMzW27lhSEbLusgIyAiohYDsQFcLNnmQjIDqCOjrckpE6Y4bN+4HBdVxoN948YEWi9zIZpMat78Tz3iQJhWZXzMdFLTXXQ9B7qqqgyWPkBFISgSuroUDAxXUXYJCOn8dvWpTecpJXgWEsuW3ilTKZ5vo3PtuvGTg1hvkEtRpf9b83gEXHgKT7RUy/noCaZSreSa/TCQKu0F00DeriV72hd9DWFhGEfQx4oVB4KwrJXw++tB4T2PEJcOKeiuoaP8TUO0GvlJkn0eEQOt1ULSFUvA+9A3il8XnEcw4I/I85vfQ1aR4/0Qx1r4EREWCr+dXWRbWUKSZwmkuaCRNlGDQUUqT7zu9C31HX+e+UnZoarPUzK05l8rZvjogVRUZW8bDwsyELb9VoEwu5c5sVedZfe4J4w/ewamwHSu7lFN1uEr99XJuqKSR3Pm/CMS+o5w/f16i241tkyZNYsOGDXh5eSUImsgynDp1Ki4uLhQvXjzevtp8RxGTLD/7iMmHvWhRMitz26lQ6/vpOVjbGCzt4M/7Wguq0cXOCo8Kp8xGRZ3dM23PKFW79nVAKBWnnJTK+Yja8CaxZX10oWBykCnohQVbk2AuMU8D7TZDvlrJwTLJhscBj2m5ryXRMdFsbbKVorbfMFWpaeXLIUMJPHyYlA4OmNraEnLxIplHjyJDB+1mt/5XPfl5ouaC/QTD9LY3XGfDyXEKR2/LpQaP7I77Oxh/YTzFMhZjc+PNOtG3yL9HCQmP4q7DMlK/OKNwQjspwRwgGKmurAK3+Yq7Q9HS5YRqQ6BkB90m4vg/Utz3PHVVzCsCbEXWeRZHnWD0MwqdeHEi2+5to1m+ZkyqOskgIdDbuWGQ1stKyQjICKiCgOxAVwUtua+MgAYI6OtySpvZHae9fOm29jKO2dJysH815a3f1RM8diiiSOv8q/w4uaeMQFIj4H0V1jRQ1MYUe1fsYT23vpuuctjjNX81KEjfmonX5uyx9jInvXzpXzs/Q+vFQc04w0FRy0tk0mdV7oJZfpnQ86KrMZ0+WE20+TxR2sSQdzA9j6L7qLe6vTxRWinddBx7fiy7HuySahKuqrfq58g+39sXbmyCHBWh+1GVHFcXHvnTefUlIqJi6Fs1O3+ld4EzMyA8SLFAphbgUE9RT7FAfb2U3RDTBkcES5noF30uShSFk6tOpmGehipvmm2XnzN8l4c0bl67kjQvmU1lGcoOuPrsHb8uuSBlqLr/U0ene09+nii7KknXT5PnycyZM5k4cSLOzs6ULVs2QSO0/UyZfPguy88+pmfVPIxqknhm9hflRJkeqQ56GPS7DJkKJB34icz8IvAFjfY0IqVpSi53uKzU72p4ZDQFRh2RJF8fXZf0ljIbWLwwf/SFDb/AGw9IlQ467IQc5Q12P6ir2MhzI9n/aD9Vs1VlidMSdcVI44KcnfH+oz+YmpJ761Y+nj6N3+LFpGvRgqxTp2gkO7HB8vMkMYR+3s/1tjduboU9vSBvTei8z+AB732iN26v3BhYeiA9i/XUib41Zpwm+t0TXFMOVsgfcAMyfH6XU2ZGwQByZQ24zftcfxxImx2qDYZSnRJlqlJmii99RMDtxcVwehJEhoJZaqg9Cir20VmwrUr6JaPO195co8vRLliaW+LSxoVUogSXgTW9nRsGZresjoyAjIDqCMgOdNUxk0fICKiFgL4up/6rnCZfCnZd9WbojptUc8jIhh4qUCPe2Ax7+yicdcJpJzcZAWNA4ONbWF4DAl9CoSbQdqNKzh1tmbji7GMmHb5LvSKZWd454cvo98HhlJvkTGR0DM5DqpPfzvpHNVY6gfdllbI9NTk3tIWDLCdhBPTBaqLtbEGl1lSwmEywhZhoGHofrDMrNczYOj0PfE6zvc2IioliXYN1lM5c2thMUF1fn1uKEi+ijnnPk5A94fMtrgn2XPdm8Lab0kcTWjjSyTE1iO8cotyGyDgXfyZBE1miwkEhaHJTkILh5YerVGdSBAd0WnVJOssFpbqgVtdl+xQehePYY0RFx3BxRB2ypNPdpZb8PNHlSmpPtmA0KVOmDKJubWwrUqQIzZs3Z8qUuJ1iM2bMkJzngrq9YkXVGTQ03RuxpQhGNCxErxr5VANjbRNF5pmocy3qXRtou/z6Mt2PdSdX2lwcbPm5PqsSuhYbe4yg0Eich9Qgv52VEiN+wi4fnitqnr97pGAj6LQn2WYfikAM8Z0jMiaSDQ03UNKupFoLHvXhA4+aNiXqrR+2v/2G3dAhBJ0+jXefvljkz0e+g8rvUXUU0PTMUGdOeYxxIKC3vfHYBdY3h4wF4Q93gwYnMDyQGltrSL/3B1ocIHc63ZSka730PLW8l9DXbD/kq604S9VpgjlPMAG6zVXUURctTUbIVBDSZoN02T7/mePr38X3fmVLM732gH1/gM8Nhew81aHpPEUddrlpHQHBelJ/V31eB79mVo1Z1MtdT+tzaCpQb+eGporK42UEZASSHAHZgZ7kSyAr8DMhYGyXUytdHzPx0F2alcjK/P8pl7kqrWegD8wupKDAHiYuJRKnof6Z9oFsqwEiIKKRN7RQXKbaOsBvpyBV2iRR9MrTd7Raqlxm4KZLzxi55zZF7NNyeGA8LBEHB8PLq1BjOBRqrJRN8suEUjAlaSd9sJpoO1tQacCm5VHUxOtzATKrkFWo9ARJ3/Ef13848PiAVBNO1IZL9k3UGVzfDJ6cBcdW0GqV2iYvOPmAWSfuI1iJV3YpS+1ChhFkIS6KprpPZYvXFsm2XsV70a9kv0QzRp/4BUvlcgI+RdCkuD0L/lcq0TFqg/fNwAZzz+L1OohlncpQv6h2a2J+q5/8PNHGaulexrZt2+jUqRNLly6VaNyXL1/OihUr8PT0JFeuXHTu3Fmqkx7rTBe07aNHj2bz5s1UqfK1tqWVlRXiR5mm6d4QQSeuD/yY1boEv5bJrsyUX/ucma7IQCvSAtqsU22sHnsfeHSAf879Q4UsFVhZf6XSM9ea6YI4W7b9XpEKeeX3sB+Ae3tf8b1fBM0KyuDOe8FWxSAMpVfDMDrGst6oupe+1f7V8L8J2LcPi7x5ybNnNyYpUxLp58eDqtUkJ1aBy5cxtbLUmcGanhk6U0wWnOQI6G1viLNjUTlImQ5GPE9yuxNSIPb5kd8mP3uaq+nUVsLC/hsv8u+D1mRKEQhtNigCWjVpEZ8UtcnPzYEgn4QlibIbknM9+2eneuyf4v8+O9pTmMLZ6YoM9+hIBdtIvUlQqqPyzndN7PmJx86+Ops1t9fglNOJObXmGBwSejs3DM5yWSEZARkBVRGQHeiqIib3lxHQAAFju5yaccyLRacf0bVybsY2U7Fe2uJK4HsHWq0Gx181QE0eKiOgBwSOjYQLC8HCSuE8F5HOSdRCI6JwHHNMykQ8N7wW2dOniVeTNssu4P7kHWplXyVgn/wykUSLr8K0ScFqord9saAs+D+Arocgd1UVUDGOro8+PJLqkcYQw9bGWymaUcXnq3GY+b2W947AlnZgmhL6XwGbnGpbERMTw/Bdt9h+xZs0FqZs+70SxbKnU1ueNgcK3ZbdWsaiG4sksa0KtGJUhVGYxlOD/UNIuFTb/bFfMCVz2LD194qkMtdNvfb/2jl85y22XXlBv1r5GFZfBD3qpunt3NCN+j+VVJF9LhzjPj4+ODo6MmfOHKpXF6wRULNmTXLnzs3atWulf4u/P3v27Ad8xowZg2AvUaZpujdig0DWdy9P9QKZlJnya59n52FNQ0V227CHBnuJvvzWchZcX0DzfM2ZWHWi0jb+uuQ8V5+9Z0mH0jQsZq/0uJ+i46sbsPEXCPGHjAWg016F4yWZN5+PPjTe05iI6AhW1ltJBXsV2OUEdbuLC969+0i/K7k2byJNqa/B9Q9q1ybylQ85163DsoLuKPA1PTOS+RL/1ObpbW+EBcGUzwFb/7wCC90FjGi6oKK80MnnJ6WAzj9K/aGpuHjHb1+3gDZPRvHR3Barv++Bqbl25ooMg1fXIcBb8SMCngLEzwvF38UZrkwT7x6iZItohZtBoxlgrbvAUWVU+ln63Ht3j1YHWmFhYsHptqdJa5E0CSrx4a23c+NnWXDZThmBZIyA7EBPxosrm2aYCBjT5dSI3R5scX/OYKcCDHRyUA3QWIekiOxsrrhIlpuMgEEi4LETdvVQqKaNqGktGNl0wTk8XgawsH0pmhTPGqfEVx8+UXnqKemz83/XJqtNai3MrBAhv0xoDUqdCtI3q4ne9sWqevDiksH8Pmp7EYe6DOX4s+PUzlGbebXnaVu84cmLigARVCeCIqoMgrrjNNYxIiqa7msvS9mnoo73nr6VEww20nhCFQVsv7ediRcnSkESIutiavWpUg3jb5uwofMqdy489iebTWr29KuMnbXuqNT/a0Isg4nKZXpUxEJv54aKesndkx4BTfdG2Ykn8PsYzuEB1SiSVcVLWXExPzUXRH6CvhfBrnDSAxKHBuMvjGfH/R0qO0B+X3+F43feKEpdVMxlkLbpQqmYiGiCznpjkdOaVA5xlPQQgROb20JYINiXhI67wDKjLlQxSJmTL02WWFJKZirJ+obrlWY7iQoK4nGTpkS+eUOGrl3J/Pfw7+zzHjCQoOPHsRv2J7Y9Pr9T6QABTc8MHagkizQQBPS6NyZng/CP0P+awTJXhESEUGNbDUKjQtnRdAeFMuguUPLF3Lrk+OCOc8ZOOP2xUH87QmSqB776j4P9W0e7N4QHKfSxyqwo2VK4qf70k2dCBBa32NeCxwGPGV95PC0dWhoUKno9NwzKclkZGQEZAVURkB3oqiIm95cRMDIENPlS0HvDVY56vmZ886J0rqRizaSHzrDxV0ibHQbfNtjMDiNbTlldbSPwxhNEjfCIEKg6GJyUy5rSthr/lffvvtusv/CMHlXzMLpJ3BTWy848YsoRL8rnycD2XpW0qpIm54ZWFZGFJYiAvllN9LYvtvwP7h2GJnOhbLdktQtiI/FFneydzXZSIL1ua10bBHiXlsORYYpMzwHXFNSJWmiBoRG0WXpBoiG3tbTg74aF+LV0dkwEt7sBtONPj/O3699Stl+5LOWYX2s+VoLlRFSBj4nhnz0iSPEFlham7OxTmcL2KjoANbTRwzuApgvPYZPGnOuj6yrtSFF1Wr2dG6oqJvdPcgQ02RtR0TE4jDxMdAy4j6yjXvCJqGMr6tk2nAEVfk9yPOJSoK9zX1xfujKm0hiJ0ULZplEQtLKTGFi/mKgY/DffJdTTnxQpTbEfXg6TNN9kQt4/Dts7QWQo5KoC/9v6Q7kmt4d++AaF0qJkNp2diUkJ29uQtzTc3ZCwqDCWOC2hajblWH58Ro/mw46dmOfKSd69ezFJ/X3Qrv/KlfjOnIV1/fpknzdXZyZqcmboTClZsEEgoNe9EcuU1eUg5ImnhFoSo+L8zJnBLoPJZpWNI78c0d155v8IFpQmOiYFw7JvYNZvBuagDg2AoDdgkwPMtZdskMTLa1TTL7u5jIU3FlLJvhLL6y03KN31em4YlOWyMjICMgKqIiA70FVFTO4vI2BkCGjypaDtsgtcevJOqsfZtETcWbDxwhEeAtNyK+iS+l2GTD+Bk8DI9sZPr+6nD7C8Jrx/AnlrQsfdEA/Nrr6x2nPdm8HbblI6pw27+36tLfqtHo3muXLHJ5BJLR3pUEG72UWanBv6xupnn0+frCZ62xd7+8GNjVDnX6g2NFktcf9T/XF54ULD3A2ZXmN6srItTmPEOTu/lKKmvcj8KNdTqzYLJo6ua9y5/+ajJLdsrvRSxqW+ndHxGXXJ5xIDTw8kOCKYwhkKs9hpMcEhqRm197aUPZ+UddzDI6OlciHhUdGcGVaTXLa6oSHV27mh1Z0lC9MHAprsDeHkLD/ppPQ79GBSI0zVCZw5OwNOTVRQurbdoA+TVZpDBNoIZ+fLjy9Z6rSUKtni/j4Yl9CZx+6x8PRDOlfKxfjmjirNa4ydBVbvdz0g5MqbL+pb18hOuoZ5FP++vQt2/66of+tQX1H3/j/OlIuP/em48pJUQmld9/LUULUsgJEAN+vKLNZ6rqWIbRGpjEyKFAkHnX10c+NFD8WzO9eG9aQpV+4HS4MvXuJ5166YZ81K/lMndYaEJmeGzpSSBRsEAnrdG2ubwFNX+GUFFG9jEPb/V4kRriM4+PggXYp04c9yf+pOx+Oj4fx8TkeVYEbGSRweaJgBBboDQJacGAIvAl/QaE8jTFKYcLL1STKmNhzWF72eG4kBJX8uIyAjYNAIyA50g14eWTkZAc0R0ORLQb05Z6RL6U09K1AlvxpfdGIzOxpMg4q9NTdGliAjoC0EoqMV9XgfHIN0OeF3F7C01ZZ0jeU88Qum1kwXLMxMuD22vvTnt+2hbxBOs89iZpKCyyOdSG9pofGc3wrQ5NzQqiKyMINCQG/74vNlDJX+gPqTDAoDTZTxeOtB+8PtpQuEvc33kifd54t9TYQa+tjYtcxYEPqcB1MzrWssHMFr3J4w7+QDQsKjJEdal0q5GVzXAetUWqrDqIHWd/zv0Me5D+9C35HWLAt+D7oQFppeOtfHNytKu/Lq14PXQC1paPNFbtx88UG9QEklJ9fbuaGkPnI3w0FAk71x51Ugjea7ktHKgiuj6qpn1PNLsLoepM4Awx6ByffftdQTqr1Rsc+MVKapON3m9BcGC2VmEGfiuAN3aFzcnkXtSyszxGj7COd5wJEnfDz7ElKAZUV7gi/4kMLchCx/lcP0/mY4MEhwf4BjK2i59IcavS8/fKLZgnP4B4dLOJTIno69/aok6lw2RtDEs6jBrgZ8ivzE3FpzqZOzTrxmRH0M5kmzZkS8ekX6Dh3IMnpUnH2jPn7kfrnygl4FB7dzmNnq5p1KkzPDGNdK1ll5BPS6N0Qwzq1tUHc8VBmovJJ66hkRFSHRtwdFBLGh4QZK2pXUzcyiFMrswlIt8t/Ch3DDsop0LyE3GYH/ItD+UHs8/Dz4u/zfdCjcwWAA0uu5YTBWy4rICMgIqIOA7EBXBzV5jIyAESGgyZeCshOd8fsYxqEBVSmaVQ3KVbd5cOJfRaR/h+1GhJqsarJHwGUquEwBs1TQ/Rhk1dGLpZpAisvAUhNO8CEkgn39qlAih813kmYfv8f8Uw+pU8iOVV1/zARRc9ovwzQ5NzSdWx5vuAjobV+cmwPOY6FEe2i5xHABUVGzXid6cf7VeZrna87EqhNVHG2E3d8/hYXlICoc2u+AAvV0aoRPwCcmHLzDYY/X0jx21ikZ2bgwzUpkTXInyGGvW/xzfgBRpv5ER1pTIGYws1s0Ik9G3WR9Kwv06L232XDxGb9Vy8PIxnGXC1FWVnz99HZuaKqoPF7vCGiyN87cf0uX1e4UymLN0UHV1dM9KgKm5lSU8entBlkMK1N70sVJbL23lUZ5GjGt+jSVbNx34yUDt96gYt4MbP1du2V+VFJED50DXV4QePSpNFP6Vg6kKZOZt4tvEv4iCMvcvqR/3V2hRdnu0GjmD2xToRFRtFp6ntsvA6X99Mw/hE8RUazqUpY6hTPrwQL9TzH/2nxWeKzAIb0DO5vulAL74mqvx4/n/eYtmGfLRt79+zCxjP+Z9ahxE8IfPSL70iVY16ypE6M0OTN0opAs1GAQ0OveEPdb4p6rQh9oONVgMIhVxO2lG72de0uZviLjN77fb40V99gJu3oQZWVPAb/pxKQwVZ8RRmNlZAGGjMDGOxuZdnkaxTMVZ1OjTQajql7PDYOxWlZERkBGQB0EZAe6OqjJY2QEjAgBdb8UCAeew8gjEo3dhRG1sU+nRs2g1x6wtCqYp4HhT8EspREhJ6uabBG4dxS2tFWY12IJlGxvkKZ2W+PO6XtvGdu0CF2rfM1UFb+bNWe6SBd889qVpHnJbFrXX91zQ+uKyAINCgG97Yur6+DAgGQVfHXl9RW6HeuGWQozDrQ8QHbr7Aa1tjpRZkdX8NyjKJHRaS8kQhOrLR3O3n/LmP2eCCYP0SrltWVCi6Lkt7PW1hRKywkKjWDGsXuSkxrTQKxyrQELH6zMrVhQewFls5RVWpYuOu648oJhO29RPk8GtvfSjZNNb+eGLgCSZeoUAU32xq6r3gzdcZNqDhnZ0KOC+npuaAmPToGBsWWJDMJaO2oREBagMn27AEPU8u6w8hIOdlacGFJDfXwMfORHdx8+7H4oaZmuUR6sqyueraEP3+O38jYQQRaLXphV76goC/Of55D4Tj1k+032XH9JBksL9v9RRTqvl515TNGsaTnYv2qSB2DpYgnEvmq4q6GUoTqj+gwa5GnwwzTB7u4879xF+v+ca1ZjWSnhZ8Sr4X8TsG8fGfv1I1P/P3ShNpqcGTpRSBZqMAjodW9cXApHh0ORFopyEAbWxl0Yx877O2lToA2jK43WnXafqeyjq/9F/hMliY4B95F1sLNOpbs5ZclGicDbkLc47XQiOiaaw78cJod1DoOwQ6/nhkFYLCshIyAjoC4CsgNdXeTkcTICRoKAul8KAkMjKD72uGSl14QGpDI3Vd1iQZM9qwAEv4UuByGPXBNJdRDlEVpFwP8RLK8FYQGKWryiJq+BtnnOD5jjfJ/mJbMyr12pL1reePGBFovcSG1uypVRTlim1D4lsrrnhoFCKaulJQT0ti/uHoRtHSB7OejprCXtk06MuKDverQr13yv6f4yK+nM/H7mF+6wStAqp4DerpClmF41C4uMYsXZxyw49ZCwyGip3EWPankYUNtBJ2dmXMYdvf2asfs9eR0YKn38S+lsDKybg38vDpH2goWJBTNrzKRWzlp6xebbye6/CaLenLNYWphya2x99epIJ6K93s6NJENRnlhdBDTZG8vOPGLKES9alsrGnLYasAi5zoaT46BQE2hnOFlRp56fYuDpgWRKnYnjrY5jZqLad727PoE0nOeKraUFV0erSXGv7sLqaVyIx1vebfaSmNmta+YgXYPcipnF++fhobw9n5ew6JKkye5Hhj9axqnVStfHTDx0Vzr7NvQoT+V8GXkXHE61aacIDo9iaccyNHDMoieL9DvN0ptLWXRjEbnT5mZP8z3f7bHoT5943LwFEc+fY9OmDfbjxyWq3LuNm3gzcSKWNaqTc9myRPur00GTM0Od+eQxxoOAXvfGnX2wvTPkqAA9FPdlhtKioqOovaO2VDZoWd1lVM5aWTeq+T2AhWVBsFcM8qDsAi/NmCt1o6Us1YAQ6Hm8J5d8LjGg1AB+K/6bQWim13PDICyWlZARkBFQFwHZga4ucvI4GQEjQUDdLwXP/IOpMcNFctLdnfBjVLrS5u/6DTy2Q9Uh4DRG6WFyRxkBrSMQ+ArWtwC/e5C9PHQ9BGbarR2uTZ1FFmXn1e7ksk3DmWFfHSzjDniyxu2pREs8/39fHevanFvdc0ObOsiyDA8Bve2LZ+dhTUPIkA8GXDM8IFTUSNC2C/p24TA99NGDn58AACAASURBVMshslgmz8v4L7DExCic596XoVQnaL5QRcS01/3FuxCpDrDz3TeSUPt0qfi3SRHJIZJCRxnxgkr+332enLijmFOc4ZNaFKOqQ0bp36GRoQw7OwyXFy6Sw2J+rflUy540AYZR0TEUG3tMqh1/YnB1HDJrP0tfb+eG9raNLElPCGiyNyYevMPKc0/4vXpe/mlUWH2Nva/AyjqQygb+emIwddAHnx6M83NnuhbtytCyQ1W2zzcolCaTdtLN7Ci/9xmKaTbdfF9UWTEtDQh98B6/tZ4QFYNlhSzYtMivONODXsPREeC5m7DogrwNnyXFcWUeXAZzuzTfzX7ugR+dV1+SsibHNC1Ct2/YnmYeu8fC0w8pmNmaIwOrYWKSQkuaG46Yj+Efabi7IR/CPjCp6iSa5Wv2Rbk3U6bwbt16zLJkIe+B/ZhaJ/5s+HTrFk/btMU0fXoczrvp5BmryZlhOMjLmugCAb3ujdgg0XQ5YbCHLsxRW+bVN1eloF1rC2vOtD2DuYm52rISHHhsJFxYCAUaQPttNJrnyh2fQNZ0K0etgna6mVOWatQI7Hmwh3/P/0u+dPmkoC1dvYepApJezw1VFJP7ygjICBgcArID3eCWRFZIRkC7CKj7pSA2yzWbTWrc/q6tvlI3tsDe3mBfEnqdUV+OPFJGQBMEfO/CxlYQ6A3W9vDbaUhrr4lEnY8N+BRBiXGKqParo5ywtUqJcHZUmHxSivDWZW1Gdc8NnYMiT5CkCOhtX7y9B4vKKxwafz9LUps1nVxkn3c43AEPPw86Fu7I8PLDNRVp+ONv74Kd3cHcUhEAYZ30AQMn776RaN2933+S8KteIBPjmhXVag1ycT5vuPBUomwXmYsi671Xjbz0r+3wA4tPZHQkw88O5/iz46Q0TcmiOouoYK8BDbUGu6LN0gu4P33HzNYlaFVG+6UF9HZuaICBPDRpENBkbwzaep29N17xT6NC/F49n/oGiDro03JD+Efo5Qr2xdWXpaWRgl675vaaiHNC1KcumKGgypIjIqO4PK4qlU3vEGNiTgqnsVCxr8EECKhs0DcDwp4H4rfSg5jwaFIXy0iG/xUixesbIGiVxfMnOgJExn7LZfhdL0LoHX+pn22Hr4EWz/1DaLboHB9CIqRzb0ar4t9d5geERFB12imCwiJZ2L4UTYpn1URlgx275vYaZl+dTXar7OxvuV9ytoVcu86zDh0gJoYcy5dhVb26UvpHh4dzr0xZiIggn7MzFtnlElNKASd30goCmjxPVFbgwwuY6wjCOT36rd5KFCmj5zT3aWy8u1EKiBGBMTppEaEwuxB8eg//2wYFG9BltTtn7r9leqvitClrGPTcOrFdFqo2AoHhgdTcVpOI6Ai1v9uoPXk8A/V6bmhbeVmejICMgF4RkB3oeoVbnkxGQP8IqPul4LSXL93WXsYxm6j/pkFmlMgEmCUuflLAsIdgqcjAkpuMgN4QENmsW9pBaADY5oeOuyD9Z5pHvSmh3kROs8/w0PfjF2e5yJbpuOoSNmnMcf/HCQszE/UEJzJK3XNDJ8rIQg0GAb3ti49vYWZ+xXNjtB+YqkZdazCAgZRl3P9Uf1KbpZZqvmVMncyfgeJSbVE5+PAcao2EGn8ZzHKERkSx+PRDlp55THhUNBamJvSukZe+tfKrV6bmG8vuvApkxB4Pbr74IP1v6Zw2TPmlOAWzxJ+1Jy6QhrgMkfaI2B9LnZZSOnNpveM14eAdVp17QpdKuRjX3FHr8+vt3NC65rJAXSOgyd7osPIibg/9mdO2BC1LaRj4IQIsH56A+pOhUj9dm52o/G1e25h4aSIF0xdkZ7OdifaPs4PHTtjV4/uP8teFFkvAKpN6Mg1gVMSbYHyX3iLmUyQp86cjY4WnpLi8BJ6f/6pdjopQe5RUOizidTBv5l2TaN7t+pfCIpsVIeGR/LL4PF6vgyiRPR3belWK8xkw1/k+c50fkN/OimODquukxEVSQ/op8pNUC90/1J/JVSfTOFtdnrT8hfAnT0jXogVZp05RScUnv7Yi1NOTbHPnkLaBBgx28cyqyZmhkiFyZ6NDQK97IzIcJn4+R4c9Mpj7LRG0W39XfXyCfZhXax61c2qQBJPQDri1HXb/Bmmzw6BbYGLKnztusvOqN8PqF6RfLfEOJzcZgR8RGHhqIKdenKKHYw8GlRmU5BDp9dxIcmtlBWQEZAQ0QUB2oGuCnjxWRsAIEFD3S8Guq94M3XGTag4Z2dBDw6yoxZXB1xN+XQXFWhkBarKKyQYBUaNMlBGIClPUUxZR0pa2RmNe7Mto/9r5GVqvIMN23GTHVW/aV8jJ5Ja6qyms7rlhNMDKiqqFgN72RVQkTPj8e2pAF1OqghYdE02bA2249/6ewVwUqGqDyv3PzQXnMWCdFfpfBYvvKXNVlqeDAU/9gqVsdJEpI1oqcxPsrFNha2WBrWVKMlkr/hT/zmj19U/xd5vU5t9R+X4Kj2LuyfusdH0iMYRYpzRjeMNCtC+fUynK3/CocAacGoDbKzcszS1ZUXcFxTLp7myPC859N14ycOsNSuawYW+/KlpHXG/nhtY1lwXqGgFN9kb9OWe59yZIqltdzUFDh7DbPDjxLxRoCO236trsROV3PNyRm29v8mfZP+lStEui/X/oEBYEC8rCx9fMimhFy6olyHt1EkSGglVmKTObfF9LA6k+QdKMiHwXiu/Sm0QHhmORPpiM5qMwCXygUEZknBf9BSr2hmxlvlPQf6sXn268JVXB9Nh2Lcofm69zyMNHOt8P9K+CfbrUcRoUGBpBtWmnEYxQc9uWpEWphDOqo8OjCH8SQMq8NqQw102Aqy6Qj62FXjVbVcbdzI//ipWYZcpE3oMHME2XTqUpff7P3llAV3U0cfwXdyEJARIcgru7FSvutKVAC7QUaEsFaAsVoI70o1ixIoVC0RZ3d4IGghMCAeLu8t77zt7XoJHnLyl3z8mhJbuzM/9d9t67M/OfKVOIW/MXHsOGUWzCeK3GatJZnzNDE/lyn8KLgMn3xvSKkBwJ7x2D4qZ9b8ttlQKjA3lt22tSUOaRgUewt7Y3zoIufVUdtNRmIrRRM2tN23Wd+Yfu8FazskzuUd0488pSCz0Cu4N3M+7wOHycfNjVd5fZadxNfm4U+hWUDZAReHkRkB3oL+/ay5a/JAjo+lKw5GgQ322/Zpg6y9k1kuq8Cb3mvSTIy2aaHYHTi2CnyH5UQeUu6gCOAujMyQunP0/fY9LfV2hR0YslQxvQ8Lt9Ep3k2neb0Li88QIBdD03zL7msgJGRcCk++Kn0mrWiDH+ULSSUe0ylvDsSwLhGN3VZxfugpL+v9ySo2B2XUhPUGc51nmjwForsnR2B4YxdetVHsWnaaynlaUFRRyFY13tXA+OTn5MC9+lZnG+6V6dYq7aXViKDMAx+8fgH+Yv1axc2mkpVTyqaKyTvh1FQEGbGYckRpMrkzsZnNnEpOeGvmDI402KgD57o/63e4lOzpDqU1ct4aqf3g/PweJ2YOcGn4k66Fb6ydNj9L2Ee3T7uxuWFpbs779fN9aSf7+7Qq18aJP8AzPfaEy3YnGw4W2IvK5md2nxkZolxMpI9XH1wCCnoYrEDCLnnSUrTpTHCMHbZjyWFkng4AENhkHDEbmWZsqKSiXsl7OghGONPfn89F1srCxY804TGpT1yFPTeQdvS2U5ynk5sffjVlhb5ewYV2UpiVxymYzgBKy9HfEYUAnbkvnXDTcwTDqJuxt/lx7/9KBSqCXf/ZEFSiUl58/DpZ322atxGzcROmkSjg0bUmblHzrpk9cgfc4MgysjCyxQCJh8byxoCWEB8MZ6qNSxQGAx+/xsFl9eTIcyHfilzS/G0SniOsxvDBZW8PEVcFWXt1h2/C5Ttl6la80SzBtkejYl4xgrSzU0AmlZabRe25qUrBRWvrqSOt51DD2FVvJMfm5opZ3cWUZARqAgISA70AvSasi6yAgYAQFdXwqm777OvIMGiiK9vR9W9VFnpH1ytUDViTIC5LJIcyOgUsH+qXDs3w/H+m9DlxmFkgZa0AJ3mX0UZztrfu5bizGrz1PCzZ7jn7XTKLtR16XQ9dzQdT55XOFAwKT74tc6EHsXhu2G0k0KB0BPaalQKui9pTfiYnpU7VGMrjO60NmgtcLbx4H/YihRG945VChq7WYqlDyMTSUqKZ2opAyik9OJSvz3z+y/+/dPkYWYU/Nxs2dqzxq0r1ZMa8iyB6RkpvDu3nelrNMidkUkJ3rFIqahwBTBBLWn7CEhLYttH7Sghq92GYf5GW3ScyM/ZeTfFygEdN0bWQolfl/uFCWaOftleymYRa8mWE+mlVMH/7x7CHzq6iVOn8FzL8xlYcBCmvs2l8o6aN3Cr8KCFqBSMKfET8y8W5qpPaszpKmo854Cu7+Ac8vVYgUzU98lBbuskUqF8sZRIv+KIjOtKFYWYXjbfoaVtzc0GQW1BoBNzhnkT2MXu+kWyWfCuEgW75PC971rMKhxmXzhTU7PouW0g8QkZ+RZ2zf2n9sknwp9Is/SAtd2pXBpWwqLXJzu+U5uwg4DNvVm+C/XKR0Frl274jtzhk6zp928yd0ePbFwdKSy/xksrAwbjKLrmaGTMfKgQoWAyffGnwPg1m7oPhvq68AUYgR0e/7Tk6D4IH5u+TNdyncxwgzAzs/h9G9QpRu89ufjObYFPJLYPRqWLcL695oZZ25Z6n8CgYlHJ7I1aCuvVX6NSU0mmdUmk58bZrVWnlxGQEZAHwRkB7o+6MljZQQKAQK6vhR8sekya87c56P2fnzUXs/sv8xU+KmMmkZ79GnwNl1mVSFYIllFQyKgyIQtH8ClNWqpbb+EVuMKbdCGuCSuOXkPqZkKKhVz5mZ4EiNbleeLLlUNidoLsnQ9N4yqlCzc7AiYdF8sfgUenoXXVkOVrma3XVsFtt7ZysRjE3G1dZUo6kRm8X+6Rd6A+U0lpw1Dt0m1Z/9rLSNLKTlRhLNdZL5GJaajVKnoUrMETnbWepubmJHIiD0juBp9Vco6Xd55OWVc83fw6D0x8OaS0xy7HSWVBhElQgzZTHpuGFJxWZbREdB1b0QkpNHoh/1YWsCt77sYpjb16oFwcxd0+Baaf2h023OaQJT96LKpCw+THurmABERBcu7wb1jknNjkt3n/Hn6Ph++4scnHZ76lgv8G7aMhfR4sHOF7r9CjT5msTnXSTPT4MoGlCeWEPVgIBmqGlgSS9FKW7BpPQjKt9Hq3f7u3VhUCy9jiwVbKjkxepjmGZKLjtzhhx3XKVnEgYPj2mDznEM82T+M2I23pMT+Iv0qkXYtmtQr0ZJpNiWd8RhQGRvvglfO5Gnsd016izIbT5PiYkPtPYexLlJEp/2gUii40bARqpQUym/dgp2fn05ychuk65lhUCVkYQUSAZPvja1j1cFIbb6ANp+bHZPbsbelwF0bSxuJvt3Z1tnwOok7vZmV1QxhgzaCX/vHc5y5G8OAhScp6+nIofGFr0SI4cGSJeaGwNEHRxm9fzQe9h4S0461KMFipmbyc8NMdsrTygjICOiPgOxA1x9DWYKMQIFGQNeXglGrzrHzStiTrAV9rfyjFwQdhE4/QtOXIBNPX7zk8dojIGo+rhsCdw6oacV6zIa6b2ovp4CNeO2345Tau4l0K1u2VGhhlAzB503W9dwoYNDJ6hgYAZPuiz/7w6090GMu1BtsYEuMKy5TmYnIAglJDGFsvbGMqDnCuBOaU7pw2AQdUtc9D72kLpfx+r8BTObUq5DOHZcWx7A9w7gVe4viTsUlJ7qvc951dw1hanbtytcaluKnvrUMIfKxDJOeGwbVXBZmbAR03RtXHsbTbc4xirrY4T/pyQW+XvqemAN7vgS/TjBonV6idB18Lvwcb+16C1H24+CAg1IdW61awHrYNALEuDGnmX8pk2m7blC7pBv/jGn+bK3R2HuwcQQ8OKOeot4Q6Pyz+UsdKZVwbikc/BFVcizRmZNIUzbCwiqTooOKY1utmlaQiM5J6Vn0mneczhGZvIYd1j5OFPugrsa1V1MzFFIWugieej7IKP1+ApELA0ChwrVDGVxfKY1g9RA112M330GVlgXWlrh1LotzMx8sRNRHAWtp165xt19/UCiY1duGaZOP4ibKGejY7r05mJSzZynxww+49+mto5Sch+l6ZhhUCVlYgUTA5Hvj0E9w6EeoN1R952Dm9v2p7/nrxl+0LdWW2e2MpM/F1fDPKHAvDR9eeoZp6m5UMm1nHMLJ1orAqZ3NjIY8fUFGQHwnv7LuFWLTYyWmnabudQibOhXbcuXwHDlS42ezIWw0+blhCKVlGTICMgJmQUB2oJsFdnlSGQHTIaDrS8HAhSc5fTeGOa/XpXttdW0jvdrx2bD3K6jYAd7coJcoebCMwAsIJIbD6v5qB46NIwz4A/w6FHqgVBkZ7Bs6hpIXjkm2TO3/DaunDjT6h4Wu50ahB1w2IE8ETLov/n5PzSTRfoq6VmshahtvbmTyyclSZP3OPjtxFGfSf62J7MDL6+DUbxBxVW2djROMPAxehs04+69Bl5890anRvL37bYn+XzjPhRNdONON2XZdCeW9VeepVsKVHWMNyx5g0nPDmCDJsg2OgK5749CNCN5a5i/VPhc10A3SHl2ERa1BsIV8FmyWsj+TT0xm462N9K7Ym6nNp2pnVloCzG0ASeHQTrAvjScyMZ3W0w+SkqFgwZv16FyjxLMyBWuTcAAdFSWPVOBVGfotheI1tJvbUL1FbV2R1RlyCpXKgli+JCW9MVhbUHR4TezKae/UVSpVvLfqHHuuhuPnbMeyDAfIUOIxqCqONb001nzpsbtM3XYVUbLj4Pg22FlboUjIIHzOBZSJGdhX98RzUNVnHORZ8enEbrhJ+q04aR678m4U6V8J6yL2Gs9rio73hw0n+cQJrtR0YWq3VKY2m0pvP90d3+E/TyNm2TLcX3+NEt98Y1ATdD0zDKqELKxAImDyvXFuBWz90KxBV9kLkZSRxCvrX5HqSi/qsIimPk2Ns0ZLOqiDrtp9pWb4e6qJchfVv9kt/U3glE4GYWYyjhGy1IKAwHenvmPtjbX0qNCDDw47EbtypaSW57vv4v3JxyZT0eTnhskskyeSEZARMDQCsgPd0IjK8mQEChgCur4UdPzfYYkuetXwxrTw0/yCIVfzw67AgubqrIjP74G1nvUKCxjOsjpmRCDqNqzqA3H3wNFLnTnkW9+MChlmamVqKg/GjiX5yNHHAoM6D6DrrCmGmSAPKbqeG0ZXTJ7ArAiYdF/smgin5kHzsdBBS0eCGVHKUGTQ9e+uhCWHMaHhBAZXK1zZ8/lClxQB/kvA/3dIiVJ3F45zwfbR5D3wKJ+vCHN3UClUKOLTyYpJJSsmDWt3e+z83I0emKSN3REpEVImqmAxKOtalmWdl0m07sZqj+JSafbTAYkKW1x82tsYrm6tSc8NYwEkyzUKArrujQ3nHjBu/SVa+nmxcnhjw+imVKjroAtq2hEHoKRp3yPTstJou64tSZlJLO20lIbFG2pnV/YzU5zBo089/s76Zc8NZh+4TYWiTuz+qBXWOdXjDjoMm96FpDCwsoNO30PDEVpRpGun7HO9s9LVTvyjM0GZicraiXjv+SQFeYIleA6pjkMVD52m+HXfLf637ya2VpasHdmE8tfjSTwQgrW3A8U+qq9xRnhapkIKRghPSJfY2QY3LE3kogAy7idi7e2I95jaWOZQykNkoyefDiV++11UmUos7Kxw714ex/rFCsQzJ/3WLYK695AySU/PfouZD/+guW9zKStQ15awcycPP/4E+xo1KLdhva5ichyn65lhUCVkYQUSAZPvjZt71MH7xWvCe+pAd3O1P6/9yU9nfqKcWzk299xsnLMlPBB+awaCbvvjq+BS7AVzq329SwrYOjSuDWW9nMwFhzxvIUDgfPh5hu4aSs0wW75angqC0ezf5v3ZZ3i+/ZZJrDD5uWESq+RJZARkBIyBgOxANwaqskwZgQKEgK4vBQ2/3ydlLmz/sAXVfbSP+H8BAvFSNKMSJEfAkC1QvnUBQklWpdAi8OAsrB4AKdFQpBy8uRE8KxRac7IVVyQmEjJqFKlnz4GdPdt86tLt7kksipeg8oF9WFhaGtVGXc8NoyolCzc7AibdF0emw4Hv1I7ZnvPMbrumCmy+vZkvj3+Jt4M3O/ruwE44I/4LTQTBnZoPl9eDIkNtkVspaPSumvrXwb1AWalMyZSc49k/iqf/Oy4NlM+q69S4OO49KmCRk3PJTJY9SnokOdFDk0Op6F5RcqoVsdetLm1+JggnT8Pv90sUxRtHNaN+GcPNY9JzIz9D5d8XKAR03Ru/HbrDz7uu06eeL78MqGM4m9a8Djd2mIX5ZFfwLsYfHk8JpxLs6rsLSwst3vOEY2NBS1ApXqhLm5CWSetpB4lNyWRa31oMaFgqZ7ySo9TUvKJ0imhVukGPOeCom+Na40W5fwq2fAhRN6QhqoqdSHD5ksST8dL/ewysjGNdb43FPd1xT2AY7648J/3VtH61GNCgFMq0LEJ/9keVmiVlgzvVf9EJlNtkK08G89XmQIq52rG9UmnSzoZjYW+F9/t1sfHKm24/KyqVmPU3ybiXIIm3r+pBkT5+WLnY6mSboQaFfvU1cevX49KpE5lTx9Ljnx5YW1hzaOAhnWncMx484E77DmBjQ+VzZ7G0NZyNup4ZhsJLllNwETD53gi7DAtagFNRGH/bbMAoVUqpbFRwQjATG0/k9SqvG0eX7ePAfzFU7QED1dnCzzcRZHQvOoX17zWlYVkjPzuMY6Us1UQIiH3bdW0nPp77gFJR4NarF7blyxP5i2DEgRI//oh7715G18bk54bRLZInkBGQETAWArID3VjIynJlBAoIArq8FIiLVL9JO8lSqjj5RTtKuGlZgy832zeNhIC/oPlH0MH4WbQFZAlkNYyFwI1dsP4tyEoFn7rwxnpwLmqs2UwmNysmhvsjRpB+9RqWLi6UWvAbOzPcqTx6AFapKZT+YwVOjRoZVR9dzg2jKiQLLxAImHRfnF0K2z6Gyl3h9dUFwv78lBDPzoHbBnIt5tp/o/a5qEUrnCmCCeDukSfml2wITUarL9GsrPODxai/VylVpF6JIvNh0hOHeXSauu5sXs3aQqLRtXKzI/1OnMRebFfBTaLgtXS0MarO2ggPSQiRnOgRqRFU9ajK4o6LdXZq5DfvsOX+HLgeweTu1Xirebn8umv8e5OeGxprJXcsCAjouje+3XaV34/dZWSr8nzRparhTDk5H3Z/ARXbqwMyTdjG7B/DkQdHeKfmO3xY70PNZxYBysu6wP0TULU7DFz1wtjFR4L4fsc1Sgj68XFtcmeYELJEWY69X0uZ4Lj6Qpfp4NcRrAx8LopM/31T4Ozvan2diqLq/DPxIXVJOvJQ+iuRqe3c3FdzLJ7qeSs8Uap7npyhYGjTMkzp+YSWPvFwCPE7g7EqYkfxTxtgYa1ZsEJ6loJ2Mw7TIC6L8TiABXi+VR2Hypo5isTzKvHIAxL23pNqpls6WePey08rKnmdwMhlUFZsLLfbtEWVnk6Z1X/iWK8efbf05WbsTb1o3MW70K2mzVDExVF23VocatUymNq6nhkGU0AWVGARMPneSI6G6f+yLn0ZCdaGCxTRBuQTD08wct9InGyc2N9/v/SnwVtGMsysAukJMPhvqNAuxyn6LziBf3As896oR9daz5UMMbhShUegMj2L9OAE0oPipSAquwruuHUoU3gMMJKmWya9id/Gc6Q621Jr7yGs3N2JmDZdKgGClRUl58zBpV1bI82uFmvyc8Oo1sjCZQRkBIyJgOxANya6smwZgQKAgC4vBSJbodZkdQbC9W87G47K89Ja+PtdKFEbRj51GV8AcJJVKGQIiLpj2z4ClRIqdoD+y8HOuZAZ8aK6maGhiFqEGXfvYuXhQenfl2BfVX05HPrVV8St34Bbv774fPedUW3V5dwwqkKy8AKBgEn3ReA/sH4olG4Kw3YVCPvzU+Js2FmpdrW9lT17++3F3b5gZWXnp//j34uLsour4fQCiP43q8bCCqr1gCZjoJSW1MIaT6xdR2W6gpi1N0i7Gp3jQEtnG6w9HbD2sMfKw176M/vH0sX2MXVv6tVoYv66gSpDgbWnPZ5Dq2PjXXDq1gfFB/H2rreJSYuhllctFnVcpNcFaeL+/STu3Yf3ZxOwLvIk03zWvpvM2neLPnV9+WWg4bJ6TXpuaLeF5N5mRkDXvfHhmgtsufSIL7tWZURLA5aNyM4oFA4IUW7K0E7jXPCOSo2i/fr2KFQKtvTaItHwatyyv61Eiaz3/cH9xQxzQT/edsYhQuPTNMNM1IPfMAxi7qjVcPCA6r2hZn8o1Vii+9arXdsGO8ZBYqhaTN03UbWfSvyBOJKOP5L+Sh/neXxqpuQ8vxuVTONyHqwa0Ribp9hFlBkKwqb7o0zMxL1nBZyb+mhszvadN6l2OAwbLHBoXxrP9to7QTLDkqVnV2ZosjSvyLAXDCiWDqYNSItasJDIWbOwr16dshvWS7TPiwIWMefCHL1p3O+/+65UgqrYV1/iMWiQxvjm11HXMyM/ufLvCz8CJt8bIuDoO281K9NHV3I8e02B6gf7P+DQg0O8UeUNvmj8hXGmPL8StrwPRcrCBxdyfQaM/vMcOy6HGTwQ0zhGGU+qcJhnBCeQFhQvOc0zHya+wHxVpF8lnBpozoBiPG3NIzn99m2CevWGrCzm9LbhpynHcLV1RQRghU6cRPzff2NhZ0fpJYtxbGi8706TnxvmgVueVUZARsAACMgOdAOAKIuQESjICOjyUnA/OoVW0w/iYGPFtW87G868xHCYWUktb/wdcDJePU/DKS1LKlAIiI/Vwz/DoR/VatV5E7rPMtklpzGxSL97l/vDh5P1KBTrEiUo908UGwAAIABJREFUvfR37Mo9uURN8ffn3uAhWDo743fsKJb29kZTR5dzw2jKyIILDAIm3Rd3j8KKbuBVSe0UKATto4Mfsf/+fvpX6s/XTb8uBBo/paI4W+PuwdllcG45pMWpf2nnBvWHqqnac3DMmMvIrLh0olcEqh0QVhY4NSyOtZfaWZ7tMLe01byOt3BoRC0PRBGXLlHyikx0ez/D0Zjri5PICBy2exjx6fHU867Hb+1/w9FGOye/Sqkkau48oubPl9TxGjOGoh+8/1i1g9cjeHu5v1Qref+nbfRV+fF4k54bBtNaFmQKBHTdG28sPsWJO9HMGliHXnV1y1DO0T7BuiEyClNjYfheKGVctp9sHVZeXck0/2nU9KrJ6q5aMK6ILO45DdTlsV75Glp+muuyrfW/z2cbL1PE0YbDE9riap9PRnl6ovp9+9JfkBz5RK4o3VGjr9qZXqy6dnXSE0Jh53i4tlUtT9Rr7/4rqjItidtyh+RTaoe6e6+KODfRLXtRZIm/t/IcB29E4uvuwJb3m+Pp/GIplaSTj4jbfAcRTFV8fAM0eV4o4tMJn3MBZVImB8kkpXNpRrapqNM/FVWWkoT990k8FCIxoFi52iIcKvaVTPPcUWVkcLt9B7IiIvCZ9jNuPXpIdgTHB9P9n+5607hHzp4jPWsELa/PT/9+s+mE1LODdD0zDDC1LKKAI2CWvTGrJsTdN+nz4ulleJD4gC6buqBCpX3wlTbrubgdPDwH7SdDi49zHfnN5iusOHmP0W0qMKFzFW1mKNR9sx3mwlkuZZnn4DAXgbx25d2k8z7lXDgWNpYUHV0H2xJGYAwo4GiK75F7bwwi9eJFrlVx4pteaUxt/i29/XpLmquysnjw4ViSDhyQ7r3KrPzjcUKJoU0zy7lhaCNkeTICMgImQUB2oJsEZnkSGQHzIaDLS8HFkDgpcl9cPBz/PGeKJp0t+q0FhF+Gvr9DzX46i5EHvqQIHBLO8x/UxrcaD20naXd5V0BhS7t+nfvDR6CIjsa2bFnJeW7j82xGjPjYuNOhI5kPH+L7y0xcu3QxmjW6nBtGU0YWXGAQMOm+EDVdf2umznybEFTg/50/fYn1T89/qOBeocCs22NFhJM8JUadVSgyy6Pv/Pvf4s8gyEh6orNwbDQeBXXeKHDsHun3E4j+46rkxLB0ssFzSDXsyrjqjbciKYPoldfUNWotRQakdpmJeiuQj4DA6EDe2f0OiZmJNCnRhLmvzMXO6kXHUE5ilCkpPPr8CxL3/FvfGKRag+W3b5OyDkUT9c8bfLcP8b8B33TEJT8Hm4YGm/Tc0FAnuVvBQEDXvdHxf4e5GZ7EquGNaeFn4GDcvwbB9W35OqQNieCArQOk0h9a16/d+Tmc/g08K8KoE2Cd+3mQpVDScdYRgiKT+bBdRT7pWFkzExRZEHwELm+Aq1sgI/HJuKJV1d9y4kdkJubWRGDC+RWw9xtIjwdLa2j2IbSegMrKnri/b5PsHyZRoou64CIgSpcmaNvH/nWRq6EJ2FlbsnFUM2r4uuUoSjiww2aeRRGbjtur5XBpXTLPKVWZSiIWBZAZkkiymw294qOxd7Th6GftcLbTPXM8/V4CsetvImqki+bauSyubXKpU68LKLmMid+6jUfjx2NV1Au//fuxeKpOeb8t/bgRe0MvGvfEgwd5MGo0thUqUGH7NoNpruuZYTAFZEEFFgGz7I3fO0LIaei/Aqobv17z8+DPPDuT5YHLaebTjIUdFhpnbUIDYGFLsLSBT67lWS5v3sHbTN99g/71SzK9f23j6FMApAoGLPGtkB4Up3aYP3gxwzzbYS6c5uLH2l2d+CBKeYiA3fSbsVLgr/f7dbC01/0ZUgDg0FqFmD//JPzb77B0cuLktNeY+WCF9F0jylRlN2VaGiEj3iHl7FmsvLwo++cqbMtoz/iSn3JmOTfyU0r+vYyAjECBREB2oBfIZZGVkhEwHAK6vBRkZyFV93Fl+4ctDaeMkLTnKzgxG+oMgl7qLCi5yQhohIDIitw6Vt2188/Q5D2NhhX0TinnzxMy8j2UiYnYVa0qUVVZe3rmqHbEr78S/dsCnFq3ovRCI30oy/WgCvqWMZt+ujxPdFZWZL9NrwhZaTBsN5RuorMoUwyc7j+dP67+YdxLLE0NEVmJknM86DlH+W0Qv8utWVhCmebq+uaVOoGl5hncmqqmb7+UixHEbLgJWSpsijtKdOuilrmhmnCqxG66Rcr5CEmkU5MSEpWwxVP0v4aaSxc5FyMu8u7ed0nNSqVNyTbMbjf7sQM8N3mZjx4RMuZ90q9dAxsbik2YQMT06YgMxHKb/8G+8hNHWvOfDvAwLpU17zShaYWcn0Pa6m3Sc0Nb5eT+ZkVA171Rd+oeYlMy2f1RKyoXdzGsDacXws4JUL4tDPnHsLJzkHYr9hZ9tvTB2tKaA/0PUMRewwxkQTe/sJW6lNGbm6DiK/nquvNyKKP+PI+jrRWHx7elqItmATiPBWemwq09cHk93Nytpi7ObiUbqrPSBdW7s/eTv4+8qX53FzXaRfOpBz3mQPEakiMhdsNN9XkrnOf9K+FUT3tKW0H5uuJEMD/uvE56llLKshdlKNpWfkqPHNBJPhcuOa8tHa0pPqFhrk4MIT924y1SzoZj4WCN5+jadFlxhqCoZMZ3qsyYtrploWerJCjl43feJflkqMSoUmJCQ6zctFybfFf/SQdhT/CAgaRdvkzRsR/iNWrUM6Mf07j7NGdBhwVaSH7SNSsqilstWkrBj5X8/bFyNkyWpa5nhk5GyIMKFQJm2RvrhsLVf8xyLyHeA0Xpj4SMBOa0m0ObUoZjDnpm4bd9DGeXqs92UTIvj7bOP4QJGwNoU7koy982DYOLqTapYCARzCV5OszLuWFX4VmHeU76KZIziZh9ASHToaYXHm9Uyfdd3lR2Gnse8U0S1K07IrC32NdfkdytJV3+7oKlhSX7++/Hy+FJUKQiMZF7Q4ZK3y82vr6UWb0am2J5P9e11d8s54a2Ssr9ZQRkBAoEArIDvUAsg6yEjIDxENDlpWDT+Qd8su4SLf28WDm8sWGVu3MQVvYClxLqKNZ/M58MO4ks7T+HwPUdsHaQ+qJQZJ63+/I/YWLS0WM8+OADVGlpONSvT6nf5mPlmnsmpaB5D3q1C1hZ4Xf4ENZeBs68+hdVXc6N/8SCyEbkiYDJ98WWD+D8H1CtJwz4o8CuTnJmsnSJlZSZxPxX5tOypIEDzzS1XGB18IcndWVzG+daEjzLg0cFdeaiZwX1f4sMQmtbTWczaT/haJHobvffl+a1r+KBx+uVsdQj8y83A4RzIenIA+J3BUtUi3YV3fF8owqWjvlQHpsIEf8wf0btG0W6Ij3f/ZZy/oL0jBHsJlaenpScMxvHevUIef99kvbtx3PkSLw//uix5qNWnWPnlTAmdqnCu60Mw6Jg8nPDROsgT6M/ArrsjUyFEr9JO6XJz33ZPkd6br00y2Y/ESUSPrtn9DPxl3O/sOzKMtqVasev7X7VTHXBJrK0M4Sc0ur5KM62nvOOE/AgnrealWVyj+qazZdTr9Q4daa+cKbfPaJ+PxdNBGKVb6N2psc/gCPT1Y52UVf+la/U5UAsrVApVMSsv0HqxUiJ8cNjQGUc62h/MR6RkMa4DQEcuammmW9VqSgz+tXC2zX/wCrxXAmfdY6siFRcXimNW4ecs9uy6d6Fk9/r7RoSzfrmiw+lbHc3B5GFrgElfj5Ii7WJXBRAxt0EnJqWoEhP/ZzyeU2XcuEC915/Q8o6r3joINYeHs90f5rG/eCAg7jbu+u0T261ayeVpSq9YgVOjQ3jTNPlzNBJeXlQoUPALHtj1xdwaj40HwsdppoUs403NzL55GR8nX3Z3ns7VsYIek1PgplV1MwjQ7ZA+dZ52njwRgRvL/OnWglXdow107eQEVZBmZJJ+NyLKGLSHkuXMsyFwzw7w1zLYF7BphW5MAAUKty6lcelhQHL0RgBA0OIFM+5kPfeI/nwERzq1qXMn6uwsLRk0PZBBEQF8HmjzxlUddAzU4lgrOBBg8i8dx87Pz/KrFqJlVvOzDK66GiWc0MXReUxMgIyAmZHQHagm30JZAVkBIyLgC4vBUuOBvHd9mv0qO3D7NfrGlbBzDT4uYw6q3D0KfCualj5srT/HgL3T8MfPdR7pu6b0GPufyLwImHXbh6OHw+ZmTi1bEnJ2b9i6eCQ7/rdHTiQtEsBFPviczyGDs23vy4ddDk3dJlHHlO4EDD5vgi/Cr81VV/Ij70E7qULJGB/XvuTn878RFnXsmzutVmKojdpy8qAXZ/D2d+fTOvkrXaMZzvHsx3lRcqBrXa1s01qSw6Tiew8kSWYejlK+q1zq5K4dS6LhaWaetxYLTUwmpi111FlKCWaRc+h1bApWjCwm+E/gxVXV0j10Fe8uiJHCOI2/U3YN9+gyszErkoVSs2f97g0SMKOHTz85FNsSpWiwp7djzNf5h+6zbRdN+haqwTz3qhnEGhNfm4YRGtZiCkQ0GVvhMWn0eTH/VhZWnDru1exNPQ5IOjGZ1SElGijs58olAo6buhIRGoE/2vzP9qXaa8Z7BfXwD/vgXDyv+8PbnnTjz8t9PjtKAYtOY2NlQUHPm1DKQ8DnGmJYRD4t5rm/eHZF23w6whdZz5+hqsUSmL+uqE+0y0tpGAox5pFNbP9qV67roTxxaYAiY1AULZP7FKVIU3LaJXJl3I5kpg/r2Nha0XxCQ2wcn42iExkG0YuuQxKFW5dyuHSSo21Qqmi86wj3IpI4qP2fnzUvpLW+j8/IO1OHFGLL0tZ6MXHN8Ta3ThZ6A8+/pjEnbtw69sHn++/z1HvbBr3Kc2m0Mevj062iRq2omyI97hP8RwxQicZzw/S5cwwyMSykAKPgFn2xvFfYe/XUGsg9FlkMoyEI7L/1v5SqYVP63/KWzXeMs7c2ex/Isj2g3P53r9ceRhPtznHJHYT/0kaPs+Mo7nBpD5NuW5VxA7X9mXUlOxaOsxzUijp+EPitgZJz8GiI2sZpByVwQw3gqD47dt59Ok4LGxsKPfP39hVUAfqrrq6ip/9f6aaZzX+6vrXC8/wjAcPpKCvrMhIyfEuSh1qcmemiQlmOTc0UUzuIyMgI1DgEJAd6AVuSWSFZAQMi4AuLwXTd19n3sE7DG1ahik9axhWISFtZW+4cwA6/QBNxxhevizxv4NA5A1Y2glSY8GvE7y2Gqx0rxOVmZ6GUqHEztEAF4Z6oBy3cSOhX30NSiUur3bG9+efn6k/mJfomNWrCZ/6LXbVqlJ+0yY9tMh9qC7nhlEUkYUWKATMsi9W9IC7h6HZB9DxuwKFh1BGqVLS/e/u3E+8z6TGk3itymum1TEpAtYNgfsnReoftJ0EjUeCvf41wU1rSM6zCXrDqD+ukvkwSXIqFOldEacGutXH1cWejEdJUr11RVw6FvbWeL5ZBfuKGlIs6zKhhmMiUiLovLEzmcpMVnReQb1iT5zdKoWCiOkziFmuptp06dgRn59+xPKp556gTrzZvAWq1FTKrl+PQ031u162c62UhwNHJ7TTUJu8u5nl3DCI5rIQYyOgy97IvqD3drHjjLEu6MWZenUztP0SWo83GgwnH52USjK42roiMn1trTRgABGZ33MbQHIktJ8MLT7WWr83l5zm2O0o+tTz5ZcBdbQen+cAUT7kyia4sgEUmdB2ItTo+9jxIspkRK+5TlpgtHSme75RFYfq2pWLSE7PYurWq6w9GyKpIrIdf32tDn7FtKfzF86RiHkXpWeMc0tf3LuWf2xeVlw6EXMvoEzKxKF2UTxeq/zMxf72gFDGrD6Pi521lIXu7qjB+uWDtshCF057UT6kSC/DZ6EL+tzbHTqCQvFCCY+nVVscsJjZF2bTXA8a9+glS4iYMROXTp0o+essg+wzXc4Mg0wsCynwCJhlbwSsh00joGxLeGubyTA6H36eobuGYm9lz77++3CzM1xG7jNGLGwNoRehw7fQ/MN87ROMII1+2C/8wdz6vosU6FbYW/zuYBIPhmBhY0nRUbWx9XHWyaQshZJN5x+y9Phdqvu48WOfmlIgW8ya66QGRGHlZov3B3VfCOLSabICOCgrNpagrt1QxMTg9eEHFB09+rGWUalR0jeNYNZa0H4BzX2bv2BB2o2b3Bs8GGVCAk6tWlJq3jzJEa9vM8u5oa/S8ngZARkBsyAgO9DNArs8qYyA6RDQ5aVg4t+XWX36vsEi6l+w9sQc2PMlVGwPb240HRjyTIULgYRQ+L0DxIeAbwMYugVsda+hF/PoIeu/m0RKXCzl6jakeptXKF+3AVbW+r98awNs9LLlRPz8szTEvX9/ik/+BgsrzWsNiw+QW61aS5nr5bZsxr6S/lkvz+uvy7mhDQZy38KJgFn2xY1dsGYgiMuhT66CnW4XF8ZC/HDIYd4/8D4uti7s67cPR5ERaKr28Bz89SYkPgI7V+izGCp3NtXsRp8n40Gi5DxXJmRINWo9B1eT6BJN3RSJGUSvvErG/USJati9RwWcm/iYWo0X5pt8YjIbb22kpW9L5refL/1e1AsUmeXJR49K/+81ejRe74+RKBKfb9lZiB7DhlFsgtpJGJ+aSe0pe6T/vvBVB4o46e8QMsu5YfbVkRXQBAFd9oZJKGLPLIYd46BcKxi6VRNTdOoz8ehEtgZtZWDlgXzZRMPSRDs/g9MLwNMPRp3QiWL+UkicROUuqmjtGmuEOvK5oCE5z1ddI+16DFhb4PlmNRyqPEsfnh+Q5+/H8vHai9yLTpH0f7dVeT7pUAk7a83fo5+fI+1GDFHLAiWdpMxvNztUmQoiFgaQ+SAJmxJOkuPE0vbZOZRKFV1mH+V6WCLvt63IuE6V81M/39+nB8URuSg7C70B1u75U9HnK/SpDhEzZhC95HccmzShzPJluQ69l3CPbn93w8rCikMDDulE45586jT333pLYj6peGC/Nmrm2leXM8MgE8tCtEZg/vz5TJ8+ndDQUKpXr86sWbNo2TJnWu/AwEC+/vprzp07x7179/jf//7HRx89KS+jyeRm2RuCJW9pRzUbyDsHTMasOO7wOHYH76avX18mN5usCTza93l0ARa1ARHY9cl1cMo/0Ekwc/hN2iEIOzgz6RW8XQx7fmlvhH4jUq9ESc8s0UQAlS5lRgQmWy894tf9t7gblfxYofZVvZk3qB42ChURcy+SFZmKnZ+7VCbE2Axb+qGi2+hHn31O/ObNEg17uY0bXkgcmeY/jZVXV1Ldszpruq7JkUlGlKW6P2yYVPrQtVs3fKb9nOP3jTYamuXc0EZBua+MgIxAgUFAdqAXmKWQFZERMA4CurwUZNfAnNqzOkOaljW8Ytn1Ba0d4LNgsCncL9eGB0iWiMiwWdYFIgLVNXqH7dHowy035CTn+dQvSIqNeaaLg4srVVq0pnqrV/AuV0Er2kdtV0mqbzh7NtG/LZCGeo4YTtFPP9Vpzsf1a0cMx3vcOG1Vybe/LudGvkLlDoUeAbPsC0GnO7c+xARBlxnQ6J0CheOIPSM4HXqat6u/zScNPjGdboLCd+tYUKSrHSmvrwEvP9PNb+SZBK1u7LqbqDKVWHs74jW0Gtae+Ze4MJZaQo/YTbdIuRAhTSFq1Lp3q4CFlfmya+4n3Kf7P90lFoT13ddTPsGekNFjyAgKwsLeXso6d+2ce0BFwp49PPxwLNY+Jai4f//jZ1HbGYekS74VwxrRupL2tMrPr4FZzg1jbQRZrkER0GVvrDsbwoQNAdLeFHvUKC3iOsxvDNb28Pl9sDY8lXZKZgpt1rUhNSuVVV1WUbto7fxNCbsMC1up640P/gcqtM1/TC49Rv95jh2Xw2hftRhLhjbQWY6mA4VDOmrlNdJvxoK1JV5Dqkm1xDVtIntv7sHbzDlwW6JP93GzZ+aAOjStkL9TJ785pPfzhQFkBCfg1Lg47r0qSmVDUs5HSMFb3u/Xxdoj52/V3YFhjFx5DidbK45+1g4PAwQdPc5Cb1ycIr0N91wXzCO32rSVMvhKzp+PS7u894+giL4ecx1dadwVSUncbNgIVCr8jh/D2lP/tdLlzMhv/eXfGx6BtWvXMnjwYIQTvXnz5ixcuJAlS5Zw9epVSpd+sRyTv78/69ato379+nz88cd89tlnhcOBLr5RVvWGoEPq+4p3DhqdASo8OVzK1s1SZbGh+wYqe+gfuJPjDtjyIZxfATX6Qb+nSkTls10afLePqKR0tn/YQsq0NncT57t41jnaWtHSzwtrK83KbGWGJxMx7xKqDAXOLXxx7/aEnUQTm0SA1a7AMP6396ZU6kM08XzoU9eXlafukZ6lpF0Vb+YPqodVdJrEhCK+NVxeKY1bhzKaTFFo+iQdO06IKONhYUHZv9bgUPvF953o1Ghe3fSq9E40u+1s2pbO+fmUdPgwIWPeh6wsirz5JsUmTdTpLi0bPPmZUmi2kayojIDZEZAd6GZfAlkBGQHjIqDLS8HAhSc5fTdGqn8u6qAbvKlUMLMyJIXDkM1Qvo3Bp5AFFmIEstJhVV8IPgrOxWD4HiiieyBHbOhD1k1RO889S5am/TtjuHP2NNeOHiQ5LvYxUF6ly1K9VTuqtmyLk7vml3qaIK1SKgn//gdi//xT6l70k0/weld3R+Bjx0exYlJWhzYZ7Jroq8u5oYlcuU/hRsBs++L0Itg5HkQNvvfPQg7ZtOZA9mbsTfpu6SvVPN/ZZyc+zkZ4Xj5vmKDE3fMVnP5N/ZtKr0KfhWBv/ksqQ6yBuOhKPBBCwt57kjj7ykXweL0Klva6l+4whF5ChqTboQck7A6WRIpMEUE/bOlgPt0mHJ7AzuCdDEutT5dl11HGx2NdvDgl583FoXr1PE1XpqVxq1lzhFOlzJrVONatK/Uf+9cFNl98xKcdKvHBK/o7b8x2bhhq4V8iOYUhY3D+odtM23WDvvVKMnOABk5nXdZPfKfM8FPTpL+1A8q+SCeqi9inx2y5s4VJxyZRxrUMW3ttzf8CWDhqlr0KIaegem/ory7RoGu7E5lEx/8dkZzRG0c1pX4Z7TLBtZlXmaGQSmGk346TaHA9h1bHvqK7xiKCo5L5aO1FLobESWPEt+m3vWrg5mA4Bqn0u/GSE11wDzs38yHp2EOJccRrWI08y3aI50L3uce48jCBka3L88WrVTW2K7eOUt31RQHqWujjGhik1q6YK3bNGsKmTMWmdGkq7NqZb+ZeNo17M59mLOywUCe77nTtRsadO5Rc8BsubfT/3pefJzotg8kHNW7cmHr16vHbb/++qwJVq1alV69e/Pjjj3nqU7ZsWcl5Xigy0IUlyVEgqM4THkDV7jBgZb61wvVZkLkX5rIwYCH1vOux4tUV+ojKfWxaAsysApnJ8NZ2KNtC43le/fUo10ITWP52Q9pU9tZ4nLE6rjwZzFebAyXxXs529K7rQ9/6JalSPPdSV8q0LHVWeFSqVO/ca3hNjQNmxTNh/7UIftl7k6uhCdK8rvbWjGxdgaHNyuJsZ82xW1EMX+EvOdFFMODCwfVRXI6SAodFNS6Rha5NgJmxsDOEXGVyMkE9epL58CFFhgym+MSJuYqddW4Wv1/5ncpFKrOu+zrp+zqnFr91G4/Gq5mznqeD11Zn+ZmiLWJyfxmBlxcB2YH+8q69bLmZECgMl1Od/neEG+GJrBremBZ+XsZB6u/34NIaaD4WOkw1zhyy1AKJgPiwEDWO7EVmz/NNXBBueBuu/gO2LvD2DihRS2c7nneeD/j6Bxzd1Jd2SoWCewEXuHJ4P3fOnkKRmSn9vaC6LVenPtVbv0L5+o2xNkB9pcg5c4maN0/6oC7+9VcUef11nW2SdM/I4FbLVpKzpPTS33Fq1kwvec8Plj8mDArnf0aY2fZFehL8Ug3S4+GNdVCpU4HANJtCu0OZDvzS5hfj6yQu6da/pQ4uEq31Z9D68wITUKAvACJDMWbDLVIvRUqiRMaHW5dyBY7KUFA6xqy9oc6OL+pA0RE1sXIzfIaqJnhej77Oksl9eWufEisVUlZHyblzsC6qWeb4w/ETSNi69ZlLrd+P3eXbbVfpUK0Yi4fon5lqtnNDEwDlPo8RKCwZg1O2BrLseDDvta7A569WMd4KirM28G9o8wW0+dzg87yz5x1OhZ5iTJ0xvFf7vfzlX1wN/4wCGyd43x/cfPMfk0+PzzcG8Jd/CI3KerB2ZJP8nfg6zKhMVxC1PJCMu/FY2Frh9XZ1jUtxiO8FwTgwZetVUjIUuNhb812vGvSso7/tOZkSufSKOkP+3+bWrTwuLfKf68D1cIYtP4uDjRVHJrSlqIv+z4PIxQGk34nHqVFxivTRP5BJBPIGdesuMZQUmzgRjyGD811NQ9C4Z9P2eo0ZQ9EP3s93zvw6yM+T/BAy/+8zMjJwdHRk/fr19O7d+7FCY8eO5eLFixw+fDhPJTV1oKenpyN+spvYG6VKlSI+Ph5X19ydo0ZB6ME5WNYZFBka1wvXRY8MRQYdNnQgJi2G6a2n07mskco2+f8O2z8Br0ow5oxWAQFDl57h8M1IpvWrxYAGpXQx02BjboQl0mPuMclRLRzXSelZj2XX8HWlX72S9Kjj+wxziEqpkso2pV2Lkd7tvT+oo1FdcvG8Onoripl7byLKpEjfMXbWDGtRjuEtyr0Q8HXidhTDVviTlqmUMuPF+3bq1iCSz4SpmU8+rIe1u/7PEoOBqaOg8B9/ImbFCqmUR/mtW7B0yr0cY1xaHJ03dSY5M5kZrWfQqWzu3/sxK1cR/v33klbFv/la57s1+Zmi48LKw2QEXkIEZAf6S7jossnmQ6CwXE41/H4fkYlGpl4KWAeb3oHiNeG9Y+ZbFHlmkyEgsjV3Bu0kKCAQzxhnivh482qzXlQoXVl9aScyfkRtxzMLwdIG3twI5VvrrF9ezvPnhaYlJXHj5FECD+8j9NayL3/SAAAgAElEQVSNx7+2d3KmcvPWVG/djuIVKul0uShRTY1UX46W+O5b3Pv109mmpweGTp5M3F9rcevZE5+ffzKIzKcvIdzc3MxzCWFQS2RhhkTArB+ZuyfByblqxhLBXGLmJi6vOqzvQIYygz9e/YO63ursXaO10Evqeufx98HWGXovhKrdjDadqQUrEjKIWnmVzBBRZ9wC914VcG5UwtRqaDxfxsMkov8IRBGfgX1VD7yG5p3trbFgLTqqMjII++574tatk0YFNy1DpwWbsbTT/MIt8cBBHowejbW3NxUPHZQCyPyDY+i/4CTFXO04PbG9Fhrl3NWs54be2r88AgpLxuAHay5I9US/7FqVES21o1TVajWzHQhlW8Jb27Qaml/nsOQwOm7oiAqVxF5S0qVk3kNEWaM59SElSh10LIKPDdBC41NpPf0QGVlKlr3dkLYGzhYUWXyitnjGvQQs7KykbG67Mpo5tmKSM/hiUwC7A8MlSxuV8+CXAbUpWcTRAJbnLCLjQaKUdSiaY11vigzQ7L1fOE56zz8hZcgLR8lX3arprWN6cDyRC9QZ8VIWei4U8ppOlHT0KCHvvIulszMVDx3Cyjl3J8bTMrNp3Cc3nUzfSn01ne5xv5hVfxL+3Xc4tWpJ6UWLtB7//AD5eaI3hEYX8OjRI3x9fTl+/DjNngrw/uGHH1ixYgU3bjz5zs5JGU0d6JMnT2bKlCkviDCLA11okf3MEFmzQ7ZAuZzrveuzANuDtvP50c/xdvBmV79d2Ij7EkM3cR+zsCWIkiGdfoCmY7SaYdz6S2w494DxnSozpm1FrcYasnNapoKec49LSUFtKhdl0eAGHLkZKem2/3o4mQqVNJ2NlYVEpS5YbdpW8Sb1YAgJ+0TpFgu836uNbUmXfNU6HRTNzD03OROsLhUogqlEtvnIVuUpkkdZj1NB0by9zJ/UTAUtKnqx6PV6JC69QubDJGxLu1D03VpYWGtGOZ+vkmbokBoQQPBrr4NSSanFi3Bumf+/ifkX5/Pbpd8o71aeTT02YWVplavmkbPnEDV/vhTg4TtzBq5dumhtpfxM0RoyeYCMwEuLgOxAf2mXXjbcHAgUhsspcQngN2knWUoVJz5vh4+7kWqOJkWo6RFFG3cLnM1P8WSOPWHOOUUWuLWFdZ4vpvrqF5IQItHLnrt6ioohxWkX34hiWc/WwEu1Tce+pBuulkHY3luGjeVtrPr+hEUt3R3N2jjPn7cx5tEDAg/v5+rRgyRFRz3+tYdPSWq07UDdV3tonJWeERLC3b79pHqDRd54neJff60vpI/Hp1y4wL3X38DC0ZFKx45i6Wi4S0X5Y8Jgy/SfEmTWfRF7D2bXUdd+HXUSiul/Qa3P4iwKWMScC3Oo7lmdNV3X6BRco/H8lzfAZlHvLRU8ysNrq8Fbf5pYjec3UkdFUgaZoclkPkom6cRDyRktsi48BlXFvoLm9L5GUi9fsaI+YvivF0CpwnNoNRyq6l/fNd9J/+2QFRsr1S9P8fdHZWHBqjYW7Gxqw66+uynmVExTMWo2k+YtUCYmUmblHzg2bEhKRhY1vtktzOL0xFco5ppz7V9NJzHruaGpki95P1NlDD4Psy574/VFpzgZFM2vr9UxWiaypGfULZjbAKzs1HXQbfT7d/C07b9f/p1Z52dRv1h9lnfWgIp9x3g4swi8KquDjq1tDbZjv99+lcVH71K1hCvbP2iBpaWFQWQrU7OIWnqFjJBELOytKTq8Bral8ndEiMkP3oiQ6tyLYG7h3Pi0Y2XeaVkeKwPplpeBiYdDyIxMpUjPCljY5H5x/7wM4ZgZsvQMdtaWUha6vuemkB+55LJEe2+ILPT7I94h+dgxPIYOpdgXmjMqLLm8hF/P/4quNO6SA2XAQKyKFMHvxHG935V0OTMMsqFlIRojkO1AP3HiBE2bNn087vvvv2flypVcv349T1maOtALVAa6sEg4nv8ZDZdWg1NRGHkEXA1b2mnQjkEERAZozlyi8ao91VFk0y9pp372fXodHLUr7zFt13XmH7rDW83KMrmH6YNLsy35evMV/jh5T6Jt3zm25TPMICJASwTiCWf65Yfxj43vZGfPV+nq52uRfpVwapD3+/T5+7H8sucmx26r74tsrS15s3EZRrWpoDETyZm7Mby17IzEstKsgicLe9Qg4bfLqNKycG7ug3v3CrqsotnHiCDfu/36k37zJq49uuM7bZpGOiVmJNJ5Y2cSMhL4ocUPdK/QPddx4t46/NtviV29BmxsKPXbbzi30K7kjvxM0WhZ5E4yAjICgqlWJU4duckIyAgYHYHCcjmVmJZJzcl7JDyuTe2Mg63mlwdag7ighTq6tc9iqDVA6+HyAO0QEHRI58LP4R/mz5mwM1yPuY6DtYPkAKrpVZOaRWtSy6sWRR01o37NbfaIlAh2B+/m8M2DFL3rwCvxjamSVu5xd4WtClUZO2LCIvBIdMGaF/eYpZMNNr7O2Iqfks7Y+Lpg5War0cWL5DyfOpGkmGip5vnTtO3aIKZUKgi5clnKSr915iRZGWqauIoNm9L948+xtMr734aoLxv8+hukX7sm0eoK54SFreEuPcXj+07nzmTeu4/PtJ9x69FDG/Py7Ct/TBgMyv+UILPvi7WD4doWqDcUesw2G7aZikzp4z4iNSLfj3u9lFQqYN9kOPGvrRXbQ98l4FBEL7GmHizoEBUxaWQ8SvrXYZ5ERmgyyoSMZ1QRdOgik9vay0iBe0YwPG7nXZIOP8CqiB3FPq6PpTHfmf7VX5GURHD/AWTcvStRIfrMmM77acs5H3GeIdWGML6hui6gpu3RFxOJ//vvZ4K8Os86wvWwRIlSUlC569PMfm7oo/xLMtZUGYOGcHi0/+UwtyOSWD2iMc0qGqnMlFh3cUUyszIkhcPQrVCulUF2g5StvLk3d+LvMKXZFPr49clbrmAfWdRGHTwmshr1YGbKaaLY5AxaTTtIYnqWwYISRM3zqMWXJee5CIoS9WPF+3x+TdDrCof+mjMh6vdtb2dmDaxDDV+3/Iaa/fdiXQcsPIl/cKyUzbhkSAO9gxEMlYWefvu2RN+OpSUV9uzGtmQ+jAdPoXk/4T5d/+6KlYUVBwccpIi9du8fIkjrRv0GkJlJhX37sC2ZPyV+XospP0/MvtXzVaCw3Hnla4guHTJS4PeOEH4ZSjZS1w83UMBTYFQgr21/DWtLa/b224uXgxGefzF31QyRD/yh1kDooz1rxLLjd6WyG11rlmDeoHq6oKj3mH1Xwxnxx1lJTn612AXN+8bzDzh19hHTUmxwxoJNZLCjuA396pekV11fyQn/dLvyMF6qcX7geoT01yLQa2DDUlLGfQk37b9hzgbHIKjvkzMUNCnvwYImFUharWZq8HijCo619Lub0xtQHQRELVhA5KxfpeCp8ju2Y11E82fH4oDFzL4wm9Iupdnca7O053NrKoVCqoeesGMnFg4OlFm2FIc6dTTWWH6maAyV3FFG4KVHQHagv/RbQAbAVAgUlsup+9EptJp+UKIeuvatkeoqZYO+92s4/ivUfh16LzDVUrw086RkpnAh4oLkLD8bdpbA6EAUKkW+9hd3Kq52qP/7U82zGo42eWc3i5pFe+/vZc+d3VjfzqBtfCMaJdV47BxXWaiw8XPFtYEvDlU9Hmd1BIZdYf2++aRFgV9qGSqllaZMhi+WqhczYB471Us649SgeI50hrFhj1g35Qu9nefPg5SeksL144c4uHwRiqwsarTtSMeRH+Tq0BcXaaETJ0lOCSsPD8pt2ohN8eL5Yq9th8h584iaM1eqgS5qoRuqyR8ThkLyvyXH7Pvi3kl1jUFre/j4KjiZLuP36ZXMplAUl1d7+u7BxsoIFIopMbBxONw5oJ66xcfQ7ivIg8quIOw2URdcZGaLrPKM0CTpT5FlrsrI4dljAdaeDtj4OGHr6yJl2Vk65H5JUhDse14HUd83/JezUva8S7tSuHUsa3Q1H06YQMKWrVgXL07pxYuw8/Pj2MNjjNo3SgqKE3vS3V7zDP5sal8rT0/8Dh/Cwtqa8esvsf7cAz5oV1HK/tSnmf3c0Ef5l2SsqTIGDUG5W2fqHuJSMtnzcSsqFdMso1nnZdwwHK5sgNafQduJOot5euDV6KsM3DYQOys7ySHpYpuHDUGH1ewjonRHjb7Qb6lBdHheyJz9t6S6raU9HNn3SWspi07XJgKmYv68RmpgtNp5/k4tbEvkTxcuKHDHbbhESEyqNPXbzcsyoVMV4wZy62pkLuOuPkqg1/zjEiW+oeiLI3+/TPqtOBwbFMOjXyWdNA79ZjJxa9fi3P4VSs2dq7WMAVsHcC3mGrrSuAsmrrTAQHz/9wuur76q9fxPD5CfJ3rBZ7LBgnWxfv36zBf0yv+2atWq0bNnT3788cc89dA0A/15IQVmb8QEqYOe0uKh0UjoolnmbX6LM+nYJLbc2ULX8l35qaVhS7ehyIST8+DQT2q2K/GdNXwvlKiVn1ov/H5bwCPeX32BRmU9WPfeEwYCrQXpOCA8IQ0RBBqbkqlxSQ1lehYR8y6SFZFKiKMlw9MSSFEqJQ0E80nbykUlZ7ooITL3wG12BYY9/l3fer580M6PUh76MQGeuyec6P5SnXaB3byS3qQfe4SFrZVUh92mqH7ydYRTp2HpQUHc7dkLVWYmPtOn49Zdu5Jj4g5TBKrHpscytdlUevv1zlMPke0eMmo0ycePY+XmRplVK6VvI01agTk3NFFW7iMjICNgVgRkB7pZ4Zcnf5kQKCyXU6J+W695x/Fxs+fEF68Yd4mCDsEfPcG5GHx6Q6pfIzfdEUjNSuVixMXHGeYiUjlLlfWMwJLOJWlYvKH006BYA4ke6XLUZelHUILdibsj1WR8uomsg4ruFaUM9WynuqhLJCjgD4QckOqax9wOpU1cfVol1MdF+eSizKKEPa71fXCsXRQrlxyyrx+eh+XdOGOVxa++FQhQJmGjtKa60o833QdQT1EdZWiq5JBB/R0jNUtnG7xH13nGif6887z/V9/j5K55tKsmyN86c4Ktv/yESqWkUc9+tHzjrRyHxa5dR9g330jZHsKx7dSkiSbite4jKOLvdOgozVPx4AFsiumXKZitgPwxofVSvBQDzL4vREaguJQKvah2JrcaZ3LcRXDM69tflwKS3q/zPiNrjzS8DuGB8NcbEBsMInip5zyokU+WouG10FiioGJPPPqQtOsxZEWmPHNWPxZibYlNcUdsfZyxKeGEjfizuCOWdoXLYZ4TKKlXoohedQ2sLKQsdBsjZtDHb9nCowmfgZUVZVauxLFeXUklsS+FU044OUbVHsXoOqM1Xj9xwXWrZSsUcXGUXrYUp6ZNWXnqHl/9c4VWlYryx7BGGsvKqaPZzw29tH85BpsqY1DfDHThmKz05U5pUS581SHP2qIGWblzy2HrWCjdDIap59W3/XzmZ1ZdW0Xnsp2Z3np6zuKE40UEGYv5RXMrDcP3gGsJfafPcXxyehatpx8kKimDb3vVYHCTMjrPE7cjiKQjD6XzsOg7NbErm3f2uKhTO2P3DX4/fldK+vd1d2B6/1o0q2CE7EqdrdJ84Fr/+3y28bIoXc6fI5rQtIJ+gX7p9xKI/O0SWELxTxtIQWfaNHGu32rTFlVaGqX/WIFTI+3P82wa96YlmrKoo/YZqaFTphC35i88hg2j2ATtGFKet1V+nmiz+ubru3btWgYPHsyCBQskGvdFixaxePFiAgMDKVOmDEOGDJHqpGc708Uz6OrVq5LCXbp0YdCgQdKPs7MzFStqVke7QO2NG7tgzUD1AhiAaTEmLYYO6zuQocxgVZdV1C5a23CL+/AcbBmrzpoXTbCtdJsFnrpRhwtKcsHGUdbTkUPj2xpOTw0kKZUqBi89zfHb0VT3cWXT6GbYWefNGCjen2NWXyf1chSWLrYU+7AuiVawNSBUoni/FBL3wsziyrJnbR/Gtq9EOa/8A8Q0UF3qIijhh/5+RmKEaVTanV8tnFDcS8S6mCPeY+qYhOVKU11z66dSKrk3eAip587h1KolpRYu1IhB8nl5KwJXMOPsDHycfNjWe1u+werK5GTuDRtG2qUAPN99F+9PPtbIlAJ1bmiksdxJRkBGwFwIyA50cyEvz/vSIVBYLqdE3bm3l/lLL53bP2xp3HXKTIOfy6ojXUedgGLmq5NkXEONI104zC9HXpYyzAUte0BUAFnKZx3mJZxKSM7yRsUbSX/6OOddi0vQvIvsGOFMlxzrkZclmuLnm5ONE15pbjSPqS1RtPtkPlXD3sUKl3olcKznjU2xPD4qou+oac5SoqB8W1Svr+Vg6HGprvDtuNvSlCLDc2StkfQp2xtVRDqZD5NIOhVKVngK1t4OeL9XG0tHG/JynmcqMwlJDJGCA8SPjaUNTUo0oYpHFZ3qv18+sIc9C9WUyq3fHEaD7s86tkS9v3uD3pSibr3HfYrniBHG2QD/Sg0e9Kb0keI9fhyew4cbZC75Y8IgMP7nhBSIfXFpLfz9LriUgLEBBqNG1HSxRJDS4J2DsbW0ZW//vXjYa1cbMN95rm+Hje9AZjK4l1bXOy9eM99h5uigTMmUHOdJxx+iyngS4SSyDiUHucgsL6H+09rLEQur/2aQnLh8i1oWSPrNWOz83PEaVkOny6L81jDj/n3u9uqNMiUFrw8/oOjoZ53ku4J3Mf7weFxtXdnTbw/iOa1pC/3qa+LWr8e9f39KfDuVgAdx9Jh7nCKONpz/qoNe9hSIc0NTIF7ifoUhYzA0PpWmPx7A2tKCm9+9qjdFdr7LLd5T59QDSxt1HXRb/TLAxPto+/XtEc6Qea/Mo1XJHGjhb+6BbR9BwkO1eg2GQ/vJYO+ar7r6dFhxIphvtgRKdVsPj2+Do632wU3i/TzuH/X7u8drlXGs89S3QQ7KiXPmk3WXJEp+0QY2KMWX3ariYm8EVhd9wNFirHgejFsfIFECC9rfHR+2wNvVXgsJL3aNXHpFer7okoUetXgxkTN/wa5qVYkNy0KHYHV9adzjNm4idNIkHBs2lMpZ6dPk54k+6Jl2rMg+nzZtGqGhodSoUYP//e9/tGqlPvPatGmDyDRfvlwdJBQcHEy5ck/KvWVr2rp1aw4dOqSR4gVubxz4Ho5MUwfCjtin1z1XdhCLKLu3pusanf4dvwBieiIIHc8sVJcIEeWhOv2gZobU4ZzIln83Kpm2Mw7hZGtF4FQjs1k+Z9SCw3f4aed1iUlz24ctqFA0/9IhCYdCSNgVrA76ercWdmWefdbejkhkw7mH/H3hAeEJ6XSpWZyP2lcyGgOOSGYa/PtpEtOyaOPrxvdx1qiSM6V7tSL9Kxlm7TX6F6Vbp9i//iJs8hQsHB2psHULNr66le0Q95xdN3UlMjWSLxt/ycAq/wak5KFWVmwsCVu3UmTwYI1xKnDnhm6wy6NkBGQETICA7EA3AcjyFDIC2QgUhsupTecfSJcZLf28WDm8sfEXb1VfuL0POn4HzT4w/nyFeIbYtFiJkl38nA8/Lzm6n88w93b0lpzl2Q5zX2dfjV8gc4MmPDlcnaEeFSA51EPCgxkZ0pemSU+in1U2FjjVLCq93NuVd8dCpF7k1ZIi4PcO6gzLErXVNcLs1DSWCqWCHXd3MO/iPB4mqS8QRea8yKjrUq4LqsQsIuddRJGQgV15N6y6eLL+e3XNc+fixfAd0ZX7ijDJWR4UH0RwQvALgQVCppudm+RIb+bTDJFVUcJZ88yeM5s3cHS1+qO/06iPqNGmvfTfWTExCKrCrNBQXDq0x3f2bL3xz2/LZme7C6qqcls2G2Q++WMiP9Rfzt8XiH2RlQGzaqjr0vZZArX6m3Qxxh0ex+7g3fSu2Jupzacadu7b+2H1ABCBUOVaQ//l4GhgB70BNFamZZF0/BGJRx/wf/auAzrKoovebclueu8JKUCAUBJ679J7R0GKKAoIior+KoKCXZAm0pUuvUiX3iHUBBIC6b23TbaX/8x8SUggyZbshkT3nbNnk92pd2bnm5n33n1qCUPNzvO0gnUPL3rxxLYxM8g6ZICm1loRimwx0lfcBRRqOLzRBBYtDBuvkBhkEWMpSVgYLNq2hc/WP8HiVPSqIc/O4UeGI6EwAR+3/RhTgqZo3f/iGzeQOG06pT5sdPUKZCw2mi86DblSjSsLetWImrJOrBtaI/HfTVgfPAbDkwswdM1VuNqY49bnzL7LqEJcopc3A4SpwJtHAP+eNaruUtIlzDk/hxpenRt7rmJcTxK24/TnwMPdTB32fsCw1YCfkY2ZS3pEvPt7L7uI5DyxXvTjkqhcZG99TBlIbF5rAJs+PlViJVeqsPp8NH67EA2lSk2V9j+MaoE+TQ3DolSjQTJAZrFMSdncojKE6ODngJ0zOoDL0Z8WX5pYiKy1unuhk+dG9Gv9oEhPh/v338Nu5Ai9e1dK476o0yKMaTxGp3Kkz54hdugwqlAJDL390rNLl8JMzxNd0Ppvpa1zc0OlBHaOYUIxOfgD71wE+NUzclQ2YsQ5YuDBgUgvTsfSLksxvOHwmg8s8ZA//hFQmMyUReKdE+W5Zc2ZPwgFOdk/Enn8dX9Y1hLTFDHIGrX2OhQqNX2eTGhf9TOoFEDJ0zxk//EIhHzRbmRDWHWo+i6IPKukCqVexmW6Dhjpy6RNt1AoUWCsiy3mZamZNo5qCKv22t9X6VpvTdPLMzIQO2gwiDe46xdfwGHypBoVuStyF76//T1cBC44Puo4+CS0gIGlzq0bBu6fqTgTAiYEDIeASYFuOCxNJZkQ0IhAfbic2nQlFkuPR2JoKw+snshQgxpVSLwlcmEU0AeYfNCoVdWnwokHQ7IwGfcy7zEK88x7iCuIe6kLzgJntHVrW6Y097b2NqriglAJ5uyKhKpARone+Q3tYNHGFYIgR+1ppQg15dZhDA2zXQMmxpb1y5dmcqUc+5/tx/qH65EjyaF9J1Tyc0PmwlPkDPOdueDIWYiTROB22t/It5LjVId0SMzLcb2XIEbiwgbYBsDfzh9FsiLqtV8kZzxeSsXXxpdRpnt0ot761XnvkfG5vPMP3Pn7IFhsNoZ99AUCQtoi6e23UXz9Bsx8feG7by841kaOz0kMDgoKKP0uif/kd+gg+E2b1niqmw4TNYbwX1lAnZkXl34GLiwFPEKAty/UyFNCl4FKK0qjl1hKtRL7h+5HoEPNYkNXqDv1AfDnYEBWBASNYigfObp7AOrSH13TqmRKFN9Ig/BSElQihu2E0Ara9msAfjNHoz57dG3rq0hf8E8ChOcSwbExg+tHbcE2r542Upc2Zi5bjpyNG8G2tYX/4UPguVd+gXbw2UEsur6IXjadHH0SZpxKQqdUUrFaqcSzHj2hzM6G94b1sOreHcPWXEVYcgHWvB6CIS2rZ6+pri91Zt3QBfD/aNq67jF4/kkGpv95B809bXDs/dpRLFNGkPC9QLePgT4LazQzSg2wJjWdhE/bf/q8rIijjDKjmDA+sYBOs4FeX9TY413XxhIPuw/3PIQ1n0sNZ+wstFs/ZGnFyFr3EGqpUqOX3NMMIebvfYBHKYW0eYNbumPp8ObGp+PXFYwapo/JKsKw1VdRLFPivZ4B+HRAkxqVWOaF3sYVDmO1i4VeeOIEUuZ/BI6jIw3zxDbTbjwra2hNaNzJ8yWqXXuoRSL4/31U69i0lbXD9Dyp0TT6V2euk3ODGEat7wEUJAKBg4HxO2jYNV3kXMI5fHDxA9ib21PmK3OOuS7ZK6YVpgMnPwUiDjOfk3uYIb8CDQ0btrHZV6cgkilx8eOe8DUgxXlVHSdK+yGrriA+R0Q9xH97vbXGM4kiR4yMNQ+gFisou4f96EYa8+gPvO45H6UU4I1Nt1AgluNjW1uMKFADXBZc3guGmadmz3rda6xZDnp3OXsOis6fh6BVKzTYtbNGxlKkNTKlDIMPDabGIwvaLcDkZpNr1shKctfJdcPgvTQVaELAhIAhEDAp0A2BoqkMEwI6IFDXL6d+Pv0Ev12IwZRODfD18OY69EzPpJmRwNqOALEo/DQB4BneslDPltVqNmJdHJUXhfsZjLKcKM2zxdkvtYEogUNcQ9DapTVCXEJgCA9zbTpKNsXE47DgRBygUoPrJIDDG01h5q49RSyIgojEcwzfD8iEgIUjozzXEGNLJBdh15Nd2BK+BUK5sKy5XbKb4/PMd8FmsXG3+AqWttgDrpUFVZITnALsSl62AXC1dKXpSoXg/Sj7Ea6nXqcv4mGvIvRlJcJlcdHKpRX1TCdK9WaOzV6ieyeYnP59JR5fOgsOj4c+jVqCu3svWAIB/PbuqdEFkTZjUj5N8rwPIDx9Gg5Tp8L1s3KXsroWVJLedJjQE7h/ebY6My+KsxmvQKUUmH4G8KkFthQAy+8uxx+P/kAHtw7Y1H+T4UY7N45h5CjOAny7AZMOANwaXJAZrmW0JLVCheJbaSi8kARVkZx+Rp4BNq/5QNDCWTPjiIHbU1eLU8uVSP/1HpS5Elh194LdoJfpSPVpe/HNm9Q7nAQI9ly1Ejb9+lVZDDE8G3BwADJFmdDVUzD9myXI27ULtiNGwOOH7/Hl4XDsuJmImd398b9B+htm1Zl1Qx/wTXmMioCuc2NvaBIWHAhDz0Bn/DlN91jOenXm3jbg6PuAdwcmDrmeUigrRK89vWgM271D9qKpY1OAsDGd+OS5MsMpEBi+BvCupb690BfiYTd41RU8SRdiZg9//G+g5t+9slCKTMIKVcCwQtEQFtyXFUSk7M1XY/HLmacg3u52FjwsGd6cGmz/W+VYWCrm7LpPu7d5StsaedjLkoQUZxoLfX5b+gzWJPHjJ0D88CGcZs+G8/tzNCWv9vukwiQMOjQIHBYHF8ZdgD3fXqfyEiZNhujOHbh/9x3sRo3UKW/5xLquGXpXZMpY7xCos3Mj5R6wpT+glAF9FgHd5lPHv94AACAASURBVOuE7Vun36KG/zNazMC81vN0yluWWKUC7m0F/lkESAsAFgfoPAfo8ZlRDLV6/HwBCTki7Hu3E9r5Gp9J6+N9D2m8cg9bPk7O6w5bi+rDgBCD4KzfH0KeVgyetzVc3mkJFk83wwb9BkK3XI9TC6gner5IjrV8G7SQABwHPlznBNMQhnVJCk+dQsoHHwI8HvwPHjDYPdj+p/vx9Y2vKXPPyVEnYUFCIhhQ6uy6YcA+mooyIWBCwDAImBTohsHRVIoJgTqLgK6bgs8PhWPXrUR80LcRje9jdKH0iE0BYRow+TAQ0MvoVdaVCohV5aFnh3A28SweZj0EifVTXrhsLpo7Ni9TmAc7B8OOb1frzSd0vXn7n0L8iPECF7R0gv2oRmDztfCOlBQCj/YDd7cyHuel4tiQ8bD0bK11fwqkBVR5tfvJbtiKzdDrmj0C2UFo7zyIlsEZ6gq3zvpZD5OLzdC0UKpMv5F2g8ZMLy8kpmwH9w7o6tkVA/0Ggni0E1EplTi6/DvE3LkFrlKJjtGpaPLtd7AdPFjrfhkiofD8BSTPmgWOkxMaXbwAFvf52BDqf2KcQejqtRVd1w1tyzWlq98I1Kl5cWQOcH870GwEMG6r0YElhjx99/eFUCbEql6r0MvHQM+qoixgSz8gNxZwbQFMO64XxaMxAFArVSi+kwHh+SQoC6TMOmtvDpu+DWhs239rTPOaYCl+koucPx8DbBZc54WA56qDkVklFZN4fnHDhkORlQW7cePg/s3XGpu3PWI7fgr9CYSR5uiIoxVpoqvJTZQbRMnBtrZGo2tXsf9hBlVWdvR3wF/vdNJYb1UJ6tS6oXcvTBmNgYCuc4NQfv98Ogpj23jh57HPwwgZo21lZRIDp1XBAJtbEgddv9906SUwYVI6OPQAWI8OACcXAOJcRpnR9QOg+4JXbkh8LjIDb229A3MuG5c+6QU326oNm1VSJbLWP4Q8tRhcZwFc3mtV6aV+Yo4IH+17gND4PAprr0Bn/Di6ZY1jgxt13A1U+OKjj/Hn9XjYCng49n7XGoXDIFTDkqg86uXvMK56BhzxgweInzARLB4PDc+fA9e55mFFakLjnvHTz8jdsgV2EyfAfdEivdHVdc3QuyJTxnqHQJ2eG+Qe5O+5ADHmn3xI63Ag0XnRGHl0JHUCODXqlE7h5soGMCsK+HsekHiD+Yiwdw1dBbi3NNoYj113na73xBOcsIwYU44+TMXc3ffJtpvuVdv7Va+wJw4QuXuiIH6QBbYVDy7vh4BrW3eMll/EKjKtkHqiy4tl2M6xgZMS4Dd1gOObzeqMx7wyPx8xg4dAmZNjEIOt8hjIVXIMOzQMyUXJ+LDNh5jefLpBp1OdXjcM2lNTYSYETAjUFAGTAr2mCJrymxCo4wjouil4b8ddnHyUjq+HBWFKZ9/a6d3hWcCDnUDnuUC/JbVT5yushWwEj0Qfwfqw9ZSSqFSsedYIdglGa1fGuzzIMcgosX506TqhZczdGQkS3xUcFvWos+zsUf2GnRhFpNxlvM0fHQTkxUyVhEq26TCgzRTGy5KlIU56FQ3NTUvBvm++QFFuNhw8vDC01weQXM+iXhlOU5uD31g3r4jKqiGeFkSRfiP1Bm6l3arg+e4kcKJW4CQGIKFREz17ij0fzUGuwAx8Lg+vL/sN9m6161FD4hw+694Dyrw8eG/cAKtuDLUpOSTOPT8XF5Mv6kR9peu6ocucMqWtvwjUqXmR8Rj4vTNzGTXvIWCnOdZdTZDfG7UXS24uoUrJv0f8/RIjhV5lS4uArUOB1HuArQ8wg4SzcNOrKENmUqvUEN3PROG5ROpNTZdvGzNY9/GBZRvXSr0LDVl/fS8re1sEJBE5MPOzgTPxatHzWUfpEGfNRtGFCzDz94ff/n1gW2j2vCDGHv0P9Ee+NB8/df+JGn1pI2qVCtG9ekORkQGvtb8hpVlbDFhxBVbmXIQt6gc2uZ3UQ+rUuqFH+01ZjIeArnOjVBlpCEpsrXtF9rS/NmdixU46qDfV7ZSTUyjD1PygGZj29Drw9BTTBGI4NeI3wL2WDAI0dJysO2PX3cCdhDxMbO+D70e1qDQHeU7kbI+AJDIXbEseXGa1Atexolc0KWvX7UR8ezyS0vlamnGwcEgzjG9n3HBTWo9tLSQk3vZj19/Aw6R8tPSypR6Z5lz9wnuUeaGzQMOE8KrxQifU7YTCvZRRxBBdLaVxJwa5G/tt1KnIwpMnkfLhfPCbN6fPMn1F1zVD33pM+eofAnV+bhyZDdzfwTDwzbwM2HppBHnJjSXY+3Qv+vr0xa+9ftWYvkIChRS4shy4sgxQyQGeJROGpP07AFu/NUjbBszaeRcnwtOxeGgzTO1iGDamyupOyhVh0MorEEoVmNu7Ieb30xxaS3glBQXHY6mhq/OMFpQ5pa5LVLoQr2+8CadiBdbBCsT33HagH6x7aJ5DtdG31M+/QMHBgzALCKDhBPUJF6JQqqBUqyt9PpJ70y+vfQlbc1tqSGJlZjgK+zq/btTGAJrqMCFgQkArBEwKdK1gMiUyIVB/EdB1UzB+/Q3cisvFqokhGFZbtHqE0vvAW8wl0ntX6y/YGlpOaMOPxx7HuofrqBUlERKn9M2gN2ncbeKVUp5m/FUDQTwP8w5HAwoVOLbmcHijCcx9bKpuljgfCN/HKM4zHj1P59QYaDMVaDkBsHSsUbfy0lKwd8kXKMphlOfjFn0PC1s75O19ShU+LHMOnGe2hJmH4TbWpXTvRJl+JOYIUopSaB9cLVwxs/FUtF64F8XRMbjdIgAFUMHG2RUTv/kJVg4166uuQKUv/RZ5O3bAZvBgeC77hWbf82QPlt5aCh6bh92Dd2sds1nXdUPXtprS108E6ty82DoMiLtkdOMrEt5hxJERiCuIw2ftP8MbTd+o+QAq5cDuiUD0P4DAngln4dSo5uXWoASiEBE/ykbhPwlQZDGMKMQ7w7qnN6w6uNdJesMadNdoWRV5EmQsvwu1XAX78YGwDHHRq67cnTuRsWQp9SD03bcX/Cbax9D9/eHvWPtgLRrbN8b+ofu1VuJnfP89crdug82QIXD98Uc0X3waErkKZ+f3QEMX/Z6rdW7d0Gs0TJmMgYCuc2POrns4FpZGlbBvdTXepfxLfT30LvBwN2BuAzj4A3beTOxYYrhFXrbkfx+AX/kembAaDTo4iEQ3xz/pBXAVFwBsHtDjU8bznFO3qFhD43OpEp3DZuGfD7vD37nib1+lUiP37xhIbqRR41q8Hgi5qwWlZqcvpZKuG+svx+Ly0ywKZwc/B/wytlWNPLCNMQdro8zkPBGGrL5KaXgnd2yAJSP0D5GW/edjSJ7kwiLEBQ7jK1cWydPTEd2nL6BUwu/gAfCbNTNIN8vTuJ8fd55S6morsuRkxPR9jdL7Bt69o5eChdSl65qhbftM6eo/AnV+bsjFwOZ+QHoY4NkWmHai2nBNhB2v776+lKFwc7/NaO+uQ2iP+GvAsQ+A7KfMwDbqDwxexjy7akEWHXmErTcSMLtXAD7pr/3eVZemEYXruPU3cC8xH20a2GPPOx3B5VRPwy6JyUf25nBABdgO9Yd1F09dqnylaZ9lCDFx4y10KVLhEwhANhQWbVxh2d4NZt7WWu/zDd2J4hs3mDBTLBYa7NwJi9YhOldx9Vk2PthzH9lFMmpo52BlBgcLM9hbmsHB0gx2Ag7+KfwE+YoU9PeYggmNptPvHC3NYMPn6W3ga3qm6DxUpgwmBP7TCJgU6P/p4Td1/r+AgK6Hif6/XkZUhhA73uqAro2cagciQmH7S0Omro+eAtautVNvLdVClC+n4k6BXGjHF8bTWsmlA/FiHtt47Cv3Mn8RBhLHNe9IDER3MuhX5o3t6SUNx7KSCz7imZN0i6Fof3wIKKWhJzHtCbUyUZz7dNTb27x827IS4rD/24UQFeSXKc8t7RhvcxKjN3vLI0hjC6inpPPsYKPQcZH4soeiD2FD2AZkFKfj/aMqdItQQ2FnBc/tO3BozS/IT0+Dk3cDjF/8I/hW+ikc9Jma4vBwxI8dBxafj0ZXryBOno4JxydAqpTq5H1uOkzog/5/I4+uzxOjoxJ1Ctg9nqE8/zACMDfO7+1qylW8d/Y9WPIscXbM2ZpbvpN1k3iiEOYVEg5iytFXFvO2dIwUBVLkbIuAPKWIfsS24FLPBstOHmCbGddTxejz5BVUQOLFF56OpwYIbh+1BVugRciTcu2URD1F/NixUMtkcP38f3B4802dekFCnvTb3w8ihQi/9fkN3b26a5W/lPaXeLo3un4N4/64Rz1Rl49rhVGt9fN0qXPrhlZImBLVBgK6zo1XYuRLgIg+B+waz3jxVSckzFJ55XqJYv33zOtYG/83OonF2JCeBXi0BkasBVw0xxivjXGorI7pf4bi/JNMSj1O6NxlyhLluEKF4SouPiQX+AAWQoQLUFTZTJJ3wYAmmNbZt0aX3K8KB0PVeyEqE9P+CKXF1cRIXZYsROaaB1R54jq/DXjOL7OSZC7/FTkbNsCiXTs02L7NUF2g5ZTSuH/V6St6htVWCBvBs85dKFOW7949ELTUjz5a1zVD2/aZ0tV/BOrF3MiLB9b3ACT5QNu3gCHLqwR+R8QO/Bj6I3WwODjsoHYKUnEeE+ecxDsnYukCDPqJuZPRkw1Jn5lRG+FWlp+Jwqrz0bA25+LEvG4ajbMU+RJkrn4AVbGcGiDZj2usHab6AGCkPNGZRZi44SamF7EwFGZltXBdLWDZzo32q9L7OiO1R56Whrix46DMzob9G2/AbeGXOtf01+1EfHn4ERQqdbV5uTYPIfDcDbWSj6LoBYCKefYRcix7C0bRThXuFmaY0N4bPQO1M16uF+uGzqiaMpgQMCFgDARMCnRjoGoq04RAHUJA101BRqEE2UVS+DhYwJpfix4R67oxFrkjNwCtxtchBPVvClGcn0s8R73AovOjaUF25naY1nwaJgROgAVPMxWr/rXrl5NQtefsjIQ8rZhezpBYt9a9vMEqpW5VqZhDX3E2EH2WOaBlPXlemUsQQ9HechzjVWkgSX36BAd/WARpcTGcG/hh9OffoFR5XlqFSiRH5rqHUGSKwXOzhPO7LbWL065HG4lS+tKKT+G98TSULOCb1zkQN/fDdO/XkbHxBIrz8+DRuCnGfLkEPPOq40fqUXWVWcjlVOzgIZDFxsJ56WLMNNuLp3lP0cWzC9b2WasTu4Gu64Yh+2Eqq+4iUOfmBVmP1rRh4ocP+gVo/7ZRwHv37Lu4lnINk5pOwqftP615Hee+YSgVCf38hF1AoHYU2zWvuPISlIUyZG0Io6E6CIuHdTdPWHX1NNr6aax+1KVyiVFXxsp71JPfqrMH7IYFaN08lURClefSZ9Gw7NEd3uvW6XXJt+zOMvz5+E8EOwdj28BtWpVBniMxffpCnpoKz5UrsULmhS3X4jC1sy8WDwvSug/lE9a5dUOvXpgyGQMBXedGn2UXEZNVjF1vd0DnAN2MfHO374DwzBk4vjsTVl266N4dqRDISwDyE4GCJOY9v+T//CQmlnklogQwzMsdiTwevsspwNAOHwMdZwEc3YxqdG9wzXKQuKvD11yjivPy0hlcfA8BOGDhd0iwEzKYcdgw45a8yv3dwMEC/xvUVG/2ipr1oO7l/uV0FNZciIaFGQdH53RBQxdrvRqZvfUxpc6vzAtdJRYjumcvKAsK4Ll6FWxee02vOqrK9CKNe5FUQQ0tOvo5aIxpn/jOOyi+fAWuC7+Ewxv6MfnoumYYtPOmwuo0ArU9N8h+qfDoUWStXQuL4GC4LVmiHbPCs3+AncT4RA2MWAcET3wJV3KHNPTQUCQKE7Gw40KMCxxXNfbCDCDmPHMvQ17knoYIcWLou9ig9zHaToC9oUlYcCAMPQOd8ec0HTzntazgVmwOJm68CaJz1cYgiTBCZa5/CHlyEXge5I6oVb01Do7JKsLE9TfhVqTAOB4fPdRcsBQlymcOC4IgR6pMNw+we35/pyWuuiQjz5qENyZBEhEB88aN4bt7F9iWlloXQZhsfjodhXWXYmieEcEe+HJIMwglCuQWS5FbLEdesQw5xTLkiWTIKZLgiuh/ELNSwC/qB0lmP0rdX5n8MKoFJrTXLrRbba8bWgNkSmhCwIRAnUPApECvc0NiapAJAcMiUG82BcRa9toKoOV4YNQGw4JQy6WRA9Wl5Ev47cFveJLLKJdJfPMpQVMo9a8h4/bUuGsyESDKAUTZED/OQ+5lDtRyNtg8GRwa3wTfLBIQ5TIKc5KOXBCqK16mgRgCNB8FtJ4KeLU1uIVzQvgDHPl5KeRSCdwbN8GoTxdX6dmtyJUgc+0DqIrkMG9kB6epQWBpoPPSB0PRvftIIB6BCgUSpvTGt35hNN4skRZqf7S/yIVSLIVfcBsM/2QhONzauSjNXrceWStWIKupG2aPyKZMBweGHQCJ266L1Jt1Q5dOmdLWGIHanhfFt26DbWUJQVA1irtbG4CTnwCODYHZoQC7evo+XUGIzY/F8CPDwQILx0cdpzHQayS3NwInPmaKGLqKMTh6haIUlijPs8Tg2JnTEBhc+9ox+nmF3a6VqiXRecje9Igao7nMCYGZp3YMCWlff4383X+B4+QE/yOHwXXULxxIpigTAw4MgFwlxx/9/0Bbt7Za9Tvj55+Ru3kLrAcMwJ0pH+ODPQ/Q2scOB2fpoXQ0Ue5qhfl/NZGuz5SWi0+jUKLA2fnddVI+Fl29hqQZM8pgthk2FK6ffQaug/YU1BrHiCjYiSK9nHK9OC8OC4ojcZkjhwVYuDBgNyxc9TNE0Vi/ERKQ+LJZRVKqICee5GY5EnB2PwXkKvBau8B2ZACNV8qqRc9GI3Sz1opUqtSYtOkWbsTmoJGLFY7M6QILM93PB9V5oeft2Yv0RYvA8/REwJnTYHEMyyBTSuPOBhujnTdg3+18qvDwc7LE3+93hZV51f3JWrUa2WvX1iguu65rRq0NrqmiV45Abc4NSWQk0pcshfjevbJ+W3buDK81q0EYfDTKxR+Ai98DhLFvxlnArUWFLKXMV+T+6OzYsxWdLhQyhv0v5hyjME8Pr1gdCZ03dCXQoLPGZhgrwYUnmZj2ZyicrMzx/agW6NPExWAMJAUiOQauvIzUAgnGtPGioUGqE2WxHAV/x0D0IIuya5H9ONehfp9zEnNEmL41FMQj3ZHLxpoQX/inSspYxAgeHHtzWLZ1g0VbV4OzMpK7zpT58yE8eQoce3v47tsHMy/t6fAlciXm732AE+HpdOg+6NsI8/o00riXOJdwDh9c/AAWXAucHH0SVlw7qlzPJUr2csp2YmCpbdip2lw3jPV7M5VrQsCEQO0gYFKg1w7OplpMCLwyBOrNpiD2ErBtGIOTbzeg3QygyeA6FxewuoEkm8nrqdep4jw8mznMkA3epGaT8GazN2FrbmuceUDogGXFAKHt0vjKr5hGIYZazUGBYiqKlCNp+8xYj+Fo9hM4rJyq20v64tQQCH4DaDGGoVA2gkSH3sSxFT9AqVCgQcsQDP/oC/D41R96yMVS1vowGn+WHBrsR2vekOvSdEV2NuJGjYYiMxPWAwfAc/lySpO7M3In9fYTyoRwzjPHgNtu4CiBJl17YtDs+WAZWLFXWZuJ12B07z70q/dmcfDNqLVaU/eWL6/erBu6DJwpbY0RqM15UXjqFFI++JAa5DjPfR+OM2dW/huSFgHLmwHSAuD1fUDjfjXuZ/kCltxYgr1P96K3d2+s7L2yZmVHHAX2EipuNdDzc6CnAbzZa9AicqlEPc8zRODYmsF5Zqt6f6lUAziMkjVnVyTEYdkw87GmHi9lbC5V1CY8exbJc96n33pv2gSrrvoprUuL/+bGN9j3dB9lIlnXd51WfRQ/eoz4MWNoOBDekdPo83soVZ49+ro/eHoYpNXmuqFVB02J6gwCuswNqUKJwC9P0bY/+Oo12Fk8py+trkOKrCzEjhgJZU4OzJs2hfTJE0CtBsfWFi4LFsB21EiNl7b6AJZWlIbZ52fjWd4zmHPM8WO3H9GnAbM/q4+iyJci87cHUAllMG9oB6dpxjFQrY/Y6NLmTKEEg1ddRZZQipEhnjQ8hj4GCKVe6IJgZzhOYGIMUyaqIUMhi4mBy2efwnHqVF2aplXauOxiTD45AQWqeEjSRkKe34EyQ5Oj6KjWpD/BVZYjvHgRye++B7OAAAQcP6ZVfS8m0mXN0KsCU6Z6i0BtzA3C7JC1chXy/voLUKnAEghgP24s8vbth1okgiAkBN7r14FjY1M9joRBa9c4IPofwN4XeOdiBU/xWWdn4UrKlefMV7lxJQrzc0DcZUDGhFsqE/dgoGFfoGEfwKv9K2c4SSsQo8+ySxDJCAcLqIHNtC6+VOGtj9FQaT/JGjd71z2qePV1tMCxud0qNdohjFriiBz6kiUU0mMXMWZ1mt4c/EaGY0h8lT+WQokc83bfx4WoLNqMuX0aYXZTd4juZkB0PxNqCYM96Tc/0AGWbV3Bb+pgEMcSwrqQvWo1wOWiwR9baLgQbYU8+97edgcPkvLB47Dw05iWGBmiXYgoMv7jj41HZG4kpgZNxUdtP9K22irT1ca6UeNGmgowIWBCoE4gYFKg14lhMDXChIDxEKg3mwJykDj2AXB/+3MPZ2t3oM00xkPP2s14IBmg5ND0UKy5vwb3MhlLZAFXgAlNJmBa0DTY842wUSd0XddXAY8OAsVZmuMyVtFHpdoROfLPIFMxcRitHG7D1jcCLCsHwMLx+cvSqeRv8u5QK4YNEVcu4NTaX6FWqdCwXScMnrcAXJ52YQXIgSlnewQ9MNn0awCb3trROGmaCmqFAonTpkMUGkovgPz27qlAV1UoK8S2x9uwI3IH7FKU6HPXBWw1C27d2mLirK/ANrISPVucjasjeyMwXo6Isa0xeslOTV2q9Pt6s27o1TtTJn0RqK15IX32DHHjJ9DLqFKx6tkTHj/9WPml1OkvgBtrAP9ewJuH9e3eS/lIHOm++/pCopRgS/8taOem/QXBS4UlXAe2jQCUUoZWccgKg7N16NJxEvIia2M4DdfBtibK85bgOTExbf9LQi5j6CWogb30SjFUFkiRvuwu1DIl7Ec1gmX7qvcy8vR0xA0fQal3HaZPh+uCT2o8FMRbcMjhISB0oHuH7EVTR80xlymNe/8BkCcmwv2XX9DtDpd6GB6f2xVBHroby9XWulFjsEwF1DoCusyN1HwxOv9wnl64Pl06UCulo1qpROKMGRDduAnzwED47vkL0qdPkfbVIkaRTgxdO3SA2+JFMPfzM1j/w7PC8f7595EjyYEj3xGre69GC+eKHoYGq6wWClJJFcj6PQzy9GJwXSzgMquVKcRHDXAn9MOvb7oF4pH+3cgWeL2D7mcUWUoRMlffZ2Khf9gGPBcLlDItEA/YhpcugmOtH0V8ZV17mJRPqXZPPU4Hz+EizF1OQaBsgiUdVsNOwCujU142thVGt6lcGaLIycGzLl3p3qdxaCg4VtrT/Za2SZc1owZDZMpaDxEw5twgdxEFBw8ic9lyKPPyKDrEiN51wQLw3N0hfvAAie/MhKqwkBpq+WzaqJk9iDD8bejBhANpPACYsJuyaCUWJmLIoSFQQ41j9t3QIP4mkMvQXJeJpTMQ0JtRmpOzj5VznRsxokTfej0Bu24lUOYYIjZ8Ll7v0ABTOjeAu63uZw4SL/uzg+Hgslk4OKszWnrZ0XLVKjWIA4WEKs1zoch8fn4k3/PcLWHd0xsWreoeTjUZOPIM+eFkJDZeiaPFDGzuhmXjWoEPFsSPslEcmg5ZXGFZFWwrHizauFKKd33PfIVnziBl7jxapts3X8N+XDXhBV7o3LMMIWUmSM4Tw86Ch/WT2qCDv24sW5eTL2P2udngc/jUC11XlsUX8TbmulGTsTXlNSFgQqDuIWBSoNe9MTG1yISAQRGod5uCgmTgzh9MbG2iGCbC5gJNhwLt3mboqOoQVeD9zPv47f5vuJV+izbVjG2G8U3GY3rz6TXe0FU6EQg+11YCd7cyipjywuYxym0Se/yll12Fz9R8O0jS+Mg7UQCVSAEWnwOHsY0hCNKN6tugk7VcYQ9OH8e5Lb/TT5p1743+784DW0cFR9GNVOQfYQ6cDuMDaazAmkrGTz8jd8sWSs/mu38fzP39Ky0yX5KPPx7/gWtnD6LTPUbhkB4iwPS3v9FKgaFPO4mCZNa5WeCdvIJZx1Xg+fsh4PhxrS6ZTYcJfRD/7+WpjeeJUihE/JixkCUkwKJTR9gOHoz0b5ZALZOB5+0Nr9WrwG/CeFuVSV48sCqEMb6adRNw0awk1Gb0tjzagl/v/opA+0DsG7pPr98SrSczEtjSH5AUAIGDgHHbX6l3iEqiQNamcBoLkFymOL/Tkl6+/5eEzKe8ffuQ/fs6qIqLYTdmDBynTqG0t4YW4ZVkFByPo9SRrh+1BcfyZUMwqugjxlm3b4MfFERjCbLMtPOw1dTeBZcX4GTcSfRr0A/Lei7TlJyZsr+uQM769bDq0wefBk/C9Zgc6BJTsHwltbFuaNUpU6I6h4Auc4PEWj4XmYFiqVJrhWP2unXIWrGSegn6HdhftmdTy+XI3bYNWavXQC2R0N+a03vvwvGtt2r8uzsdfxpfXP0CUqUUje0bY03vNXC3cq9z2GvbILVSjZxtjyGJyqPPC5dZwSamEm3Bqybd7xdj8OOpJzR2/MH3OqO5p+7GSdnbIqjCSNDKGY4Tm6A0xrj95Mlw++LzGreShiR7moX1l2Ip7XypdG4ChLM+A5vFxoVxF2i4qNXnnmHZP09pfPdj73eFv3PlIUue9e4NRWoafLZuhWUH3WMj67Jm1BgAUwH1CgFjzQ1x+COkL1kCSVgYxcOsYQDcvvwSlh07VsBHEhWFxLdmQJmdDTM/P/j8sQU8Nw0OIKkPgM39mDudgEB4/wAAIABJREFUTnMAK1f8HL0H21CIriIxfs8odxfm3YHxMA/oA7i1NHjIKmMNdrFUgQP3krHlahzicxjFNlGAD2rhjhnd/MqU4JrqJ3TlQ1dfhViuxGcDm2BmZz9IYvIZpXlkDlRC+fMi2CyY+9tC0MyRel3/20NT7b2ThC8OhUOuVKOZuw02TWkLDzvGQEGeJULxnQzqmU5CHJaKmZ8NVaRbtHACi6ddqA/JkyeIn/g61GIx7CdNgtuXX2gatrLvrz7Lxns771KDXMIesGVquyqfE9UVSp5Lk05OQlhWGA2N+Vn7z7RuQ2UJjbVu1KhRpswmBEwI1EkETAr0OjkspkaZEDAcAvV2U6CQAoTuNnQTkHTzOSAuzYB2bzGx0s1raFlPLH+zngCZEQBRTDs3AXw6AnYNNCrpiXcJoWq/lnqt5CDAxZhGY/B2y7fhYlFzRe1LM4AoiK4sBx7seu5tTii6us1n4mYRhTmJRV6FcYFKpoQsSQhZYiFk8YWQJgqhFjPWwDwPSzi+0RRcR90tgQ03U5+XdOvQXlz9axv9IGTAUPSa8rbe9Of5x2NRdCUF4LAY2q4AxlJZFyH0nyTmuejWTeTt2k2zeq5cCZv+mqmiiUf4lq3fgHMhlua7HyTEzOlL0c2rmy5N0Crtjogd+DH0R9gqzLBxpQKQyWhMKkGL5lrlL5+o3q4bOvfUlEEXBIw9L4iHR/L7c1F07hy47u5U4UFi1IofP6bW7vKUFLDMzeH29WLYjRhRsel7JgGRfwOtpwDDVunSrUrTkrjRAw8MRIYoA0u6LMGIhi/Up20N5NlCLscKUwBy+TX5MGD26pTVxJMwe/MjyBKFYFty4fx2S/DcdPcC07b7dS0dmWOFx08ga9UqyJOSKjaPy4Xt4EFweOst8Bs3NljT1UoV9RSUp4uoB7rVYG+kxzxDVnwsHDy84NMiGLkbNyFrxQqwLCzgf/AAzHx9DVZ/VG4Uxvw9BiywcHTEUfjaai6bXAQTb3gWj4djX/+BNbfTMbG9D41lqasYe93QtT2m9HUHAWPODdHdu0iY/CZlmHD/7jvYjWLCFJUXWXIy0hd/jeKrV+nHRDHi/s03sGjdWmeQyKXuxvCNWH1/Nc3b3as7fur+Eyx59Xd9JX0ihqjFN9PA4rGpsZWZdw3PXjojWzsZSF8JK0Hx9es0fIXd2LFgG8iIqbIeqFRqvLP9Ds5GZsLbQYBj73eDrUA7lq3S8mSpRchcxXih249xReIbw+k5MODUSZg1aKA3cAqlCsfD07DuUiwi0xjvRaLwGhbsgZndAxDoZk1pdCNyIrCw40KMCxxHvelL47sTBc6h2Z1hzn1ZKZM87wMIT5+Gy8cfwXHGDJ3baMw1Q+fGmDLUKQQMPTcUeXnI+nUF8vftozEK2JaWcJozBw6T3qB7o8pEGheHxOlvQZGWBp6HB1Wia/wt3t8BHJlNixOxWOjr7Qkhh43fhEB3EvaDeJn7dQf4Gmjh69RovNwYskacf5KJTVdicSsutyxBO197vNXVH681cwWHzSr7XKVUIjUqEtlJCeBaWOK7CylIzmdhlLsnJrk5Q/osD2qZqiw9y5wDfqA9ozQPdABbwK3jiBi2eXficzFz+13kFMto7Pn1k9ugTYPnLJjkLCJ5kovi0AxIonIZWnsSK92BTx1NzBtUP78Ig0jc2LHUAMqycyd4b9gAFlc7jAlzwJeHH0GhUoOM9/rJbeFgqb+R8M20m3j7zNvgsXk4MeoE3Cz1Zyo19Lph2FE1lWZCwIRAXULApECvS6NhaosJASMg8K/YFKSFAXc2A2F7AXkJJZOZNdBqAhMr3eUFb8QXcSQxcrOiGEU58QTMimTehWmVI06o4306lbw6Aq5BAJu5BIjMiaSK80vJl+j/XBYXwxsOxzst34GHlYfhRzA7GriyDAjbA6hLYhmRGPHdP2EOU1UozJWFUkjjC2ncJ2lCIeSpxYCqZKdc0kpyGUZihNsN8qcXY69ayOXVld1bEXpkP21Kx1Hj0XncJP29PksovXJ3P4E4PBssPpfSTlbnaUmUK9LoaIjv3Yf4/j2qOH9RyaIPte6ZnesRfvRv2q+nPkUYOGMeRgS+fJmr7xgQBcnE4xNBlH5fdPgC3TbeQeHx4zpbB5fW/69YN/QF05SvSgSMPS/KvAXNzNBg584Kxh/K/HykLFiA4stXaPvsJoyH6+efP7/gJhTpfwwEuHzgwwjAUjdKuBc7fSr+FD659An1rDoz5gyNYauziPOALQOZZ45TY2D6aYYl5BUJMaTK3vKIGlGxBER53gJmHpV7ib2iJhqtWvJ8Kb5yBZnLfy2jbuY4O8F51izwvH2Qs3kTpXkuFRIywPHtGbBo06bGbRLmZCP9RiQEV8l9lRrn03ciW5xSVq7AwhIuSWnwyC1E0y++gv3oUTWu88UC5pybQ/ctoxqNwtedv9ZYPo2lO3gIZLGxyJrzGd5MdkKQhw2Oz9Xd+MvY64bGzpgS1FkEjDU3iOIjbuQoKNLTYTNsKDx+/LHKvSSZ68SoJuO776DMZS717caPh8tH8zXHsS1BVqaUYfH1xfg7ltnnTWo6CR+3/RickrNDnR0ADQ0rZc8gClpiaCtorpmliq4d90IRenQ/VXzYOLnA1sUVti5uzLurG2yd3WDj4gKemR7PVQOCSeZJ8bXr9NlQdP0alFnZZaWbN2sKz2XLDErt/2LTC0RyDF59hdLZEuXRhsltdD7zZG+PgORxDljsDBQeXAirXr3g/ftavVASyRTYG5pE6YBT8sW0DOJRToynpnf1g2eJRyP5fHP4Zqy4twId3DtgU79NNG1GoQQDV15BbrEMUzv7YvGwoJfakbNpEzJ/WQbr/v3htXKFzu001pqhc0NMGeocAoaaG4QRiCjNifKchNQhQp4jLh9/DJ6LZicJeWoqZRQiTFpkn+mzebNmo0wSiureNuzzDMQ36gx4W7jh2OhTYNfzZ0hVk+RRSgH1SD/6MJUqVYn4OFhgShtXtOVlIiXsLuLu34GkSAhLrh08LRrB06IhnPhelPmiVCQQocA8F2I7MeDKhYW9HSxs7WBpawcLO3tY2trD3NJS53W1zk1uLRuUnCfCjK138CRdCDMOGz+MboFRrV8OqaEokEJ0JwPFt9KgLJRRIyzrXt6w6eNTaYx0wtqVMG06xHfvgtfAB3579oBjp9kphRiK/XwmCoRxhcjwYA8a87y8cRXZM6REPkb0nZuwcXZFy74DNIZsJHmmn56OOxl3MLbxWHzV6SstEXo5maHWDb0bYMpoQsCEQL1BwKRArzdDZWqoCQH9EPhXbQrE+cDD3YxXek70c0CIQpko0omFbl4coxwvVZaTv/MTqgbP1odRwNt4AhmPgNT7gIrxzC4TM2s89WqFtQLgnCiRfkw270P9h2Jmq5nwtvbWb3Cqy5URAVz5BXh86HlMeELZRRTnDTpVyEniPpG4hKXKcqIcUea/QO9O2mxjRq1LzRrYwNzXhsaDYnFeveKcdEalUuLc5t8RdvYU7Vv3SdPRbqhhlAhquZLG+iUelxw7c7jMDgbHmrF6VYnFEIeFlyjL70H84CGNX1ZBWCyYN24MQesQWHbsBOvX+ursEU82+reO7MPV3dvIGQWpjmIETh2Nt9u9V+NDnVghxsRjExFTEIOeXj2xqvcqehmY9M5McOzt0ejypSot5auagv+qdcPwv87/bInGnBdFJXOWeHm4f7sUdqNHv4QzMXDJXvs7sn/7jXqD8Fu2pBewJP4g+Z/GEkx7CPReCHT/uEbjNPnEZDzIeoB3W72L2cGMZ4hOIpcA20cCidcBYpT11hnATvc4pzrVWU1iojzP+fMxpLEFNGSH84wWMPP6d3oSvgiD6P59ZC1bDtGdO8zz28qKer45vDmZhuMoFXF4OHI2bYbwzBlmPgEQtG5NFelWPXpote4rFQpkJ8YjJSoSqU8jqfeMMIeh4GzvNAh+1i2QK03HDfExuPj5I+3pE4iLhGVtsHF2QZPO3dGka084+2j2FNd2fjzIfIDJJyeDy+bi5KiTWnlrZK35Ddlr1oDTuQv6uYykHoiPvu4PvpZUj6VtM+a6oW3/TenqJgLGmBtkv5U8ew6Kzp+nnn++Bw5oFWuZGGll/PwzCg4cpGARxYfbF19QRR+rmtBReZI8fHDhA9zLvAcOi4PPO3xOPXLru9AwSEdjqJea7SA/WHevPK51aT/JPv7pjau4fXgfshLjteq+pb3Dc8V6iYLdzoUo111h5eBgcOWRWqGAOCwMZL9RfPUaJI8ela31pMGEAcSyXTuahsQ5Jv+7LVwI2xHDa7xXrwqQsOR8jPn9BmRKFT4f1ATvdA/QCrvSRKKweOTuSoJarYLo/NfwWv3dS9TSmgokCu+t1+Ox7UY88kQMxa+jpRlVgk/u1AB2Fi97CiYJkzDo4CB6Hj4/9jwcBYzR4oUnmTTGLZGNb7alhgHlpfjmLSROnUq9cxueP4f04nTE5Megi2cXTc2k3xtjzdCqYlOiOo+AIeYG2S9mLFkKSUQE7a95YCDcFn4Ji7Ztdeq/Ijub0rlLo6LAsbWF98YNELRsWW0Z5Nk16ugoROdH45O2n+DNoDd1qrM+JiZGN9tO38Xdq9fglh8DD0kaOGC8yq15Dmjj3A+u5hXZNPKkGUgRRSNV9Ax5sgyN3eZwuRDY2tE9dYMWIfBtFQIHT2+jrekaG2TkBIQy/8M9D3AmgsHm3R4B+KR/YAXv/tImkJBehGVGdD+TfkQYZog3OtfpOSslmZdpCxeiYP8Ben7y3bunyhCG5bsmkSvx0d6HlM2EyLw+jfBB30ZluBdkpuPxpfOIuHwOBZnPx9HOzR0935wB/9btqx2juxl3MfXUVOrM9PfIv+FlXf0epSrYDbFuGHlITcWbEDAhUEcQMCnQ68hAmJphQsBYCNTmpkD67BmyN2yEICQYtsOGgWNlJM82lQqIu8Qo0qNOPFcwVweilStD0U4o4El8XPLuHPgyHZZMBKTeAxJuAIk3EJt2B2stuThtxVAwstRqDCqW4F1zL/j6dGW81L071tjbsazpRPlz+WeGirhUSMzcbh8DXs894YjSXPw4B8W306hiWC0t8U4vzcMCpeU187UpU5oT5XF1l4DGmoOayiUKh1Nrf8WTa5eoR/1rb89Gyz4DNGXT6XtlsRyZax9AmSMBW6AC1PGQRl2GJPw2oKhoMEEuzMgh16J1CAQhrSEIbgWOtWEUTc9Cb+Doyh8AuRKFFnLwx7XDgv5f18hLaenNpdgTtQdOAiccGHaAesySS8JnPXvROGxea9fCuncvnfCqzXVDp4aZEr9SBIw1L2RJSYgbMxaqggLYjRsH92+q95AtunwZKZ8soOmJkYjnsl9g2bkz8PAv4NBMRmE9Lwzg6kcPV0oNR5SN/4z5h/62dBKVEtg3hVnHzW2A6acYJpNXJGq5CtnbHkP6LB+E4tDpreYw96nfVJDaQEnYREgsbxISgD6/zcwoKwdRiHPtn9MavlgWoeDM3fIHCg4fBomVTMS8UUOqdLcZNKiCQRJRfqc9e0IV5eSVFvMUCmlFAzYWmw3nBn7w9m+OgKRAsOQs2A7zh3VnTyR9/AniLp1DmocrMmwtIZdKyprj5N0ATbr0QJMu3amSqaYy7dQ06q1BvGM/bf+pxuKksbGIHTQY4HIxc8QSJCp4ODSrM0J8qsauskKNtW5o7IApQZ1HwBhzg8Q2z/jue/o7JRe9/KZNdcKh+NZtpC9aBFk8owQmxjNuXy0Ez9PzpXJiC2Ix++xsJBclw5pnjV96/oLOHp11qq+uJSaX5cJziSg8yxgMW3XxgO0Q/yrPDwq5HBGXz1OP8/x05qLcTCBAq36DEdipG4rzc+nleEFGOsiFOf07Mx0yMePhXJVweWZwb9wEDVoEw6d5K7j6NwSbo12c1vJlEm/QoqtXqcK8+MYNqITPDZbo2h4YCKtuXWHZtSs1mCK07fKMTKQuWADRrVu0KJshQ+C2eJHRzrXbbyZg4eFHVMGx8c026BXoovG8ppJKkfvHH8hevwHmLaaA59EaLF4OPL7RXtmflCuidMp77iRBImeUVsQL9O3u/hjbxkujsdSLNO6luH97PIJ6sdtZ8HBibreyWLzk+9T0aOT3GkbP01/9zxtPkAYzthmuv35dK6YfY6wZde03aGqPfgjUZG4QeurMZctRcJAxoGJbW8N57lzYT5ygNU31i60m3uvEmF388CE11vT6/XdYdmhfZedC00OpV62AK8DZsWdhY/bv3KcTY6u0Z08Re/cWYu7eRk4y86wpFaGZEwIceqEb3w9cFgtKqHEfSsh8rTFqXHPAig1RQT6KC/KY9/x8iPLzUFyQT/9nPmO+k4qKK8Xbyt4BDVqGMK8WwdRr/d8kxPN72T9R+O0C4/ndt6kLVkwIgZV55ZTrooeZyDsUDbVECZYZG3ZDAyhLJbk3zN22nTL0gM2G97rfYdW9u0aosouk1BP+QVI+eBwWfhjVEqPbeEEmFiHq5lVEXDqP5MhHZeWQPQNRmCc9DqNjR4SMDQnj6OhVtfH5zH9m4nrqdQwPGI6lXZdqbFdlCWqybuhVoSmTCQETAvUWAZMCvd4OnanhJgS0Q6C2NgUk1mDSe7PKvHeJEtJ28GBKsysIMqLiID8JuPsncG8rUJwF8G0rKsmJsty5qc4K7oTCBKx7uA4n4k5ApWYuFfpx7DErKwMBBekvg2/pAli7MoobazfAyo15L32R/61cAA4TM4vGFcwQIS2mAKJCGfiyVPDjjkKQcRl8thB8dhH4QT3A6TEfcH9usUzySaLyUHgmnqFlLxGiFDHzsS5TlpO/2VVskrWbObWTSi6T4tivP1C6R3IxNnD2fKowqKkQnAh1p+TxYxo/mbxLYzNg3uIdsIlCq0SUefFQFT4Dz10Ni2DiZd4a/CaBeh+WtWl3VkIcdnz7KVQFIsi4KhQO8Mbi11dpdXH0YvkXEi9g7oW59OP1r62vcHGb8f0PyN26FdYDBsBrxa/aNK0sTW2tGzo1ypT4lSNgjHlBWCDiX38D0shI6lHeYMd2reKOkti1yXPnQhoRSQ/15KLLcfqbYK1qBRRlAKM2AS3H6oQZCYGwKWwTNoRtgEKtwLCAYfi267c6lQGpEDjzJfNc4pgBkw4CfrrTXutWadWp1QoVcgjFa1QevRRxmt4c5r62hiq+TpZDFCZZq9eg4MgRGv+YzA/bUSPhPHs2w1agpRAlSu62rcj/aw9UxczzluvhDouJE5Hh5oio0JtIjWK8lMoLoYv0aNy07OXWsBHM+Iw3B/XqPBJDWQAsgrKRvvBTgMOh857XrCli793Bk2sXKXUlMS4rFaJIatqlBxp37ApLO90U2KVlXEu5hnfPvksvZ0+PPg17vuZyYoePoB5UJwdMxyp+M3w9LAhTOuvmGW+MdUPLITQlq+MIGHpuiB89RvzEiYBcDtcvv6SxavURopzMWb8B2Rs30rLImcb5/ffhMHlS2f7wRuoNfHTxIwjlQnhaeeK3Pr8hwE4372F92mbMPMQ4t+BYLIqup9JqrPv4wKavT6XKXLlEgrBzp3Hn2EEU5ebQ9HxrG7QZOAzB/YeAX40RNT3LFAkZpXpWBvIz0lGYmYH8TOa9MDsTJP5teTETWMA7qCVVpjdo0apKD0KlUAjx/fuUmp0ozmUxjAKhVAjtLDG4Iwpzyy5dwHOtnJKZ0DjnbNyErNWrAaUSPG9veC5fBkGLFgYfAoLHvL8eUDpjIk3crPF6Bx+MCPGEDb9irGWStujCRWT88APkiYziSdDxNXDdmP2ORYgL7IYHgM2vOjZteHIB1l+OwYnwNBrdi6NSoK29Am+8FoLBrf0q9VSsrNNbHm3Br3d/RQe3DtjUn6FxJyJTqDBm3XWEJRcgxE+Nyb0UuJd5hxpwpRSlYPkGBbxygO/HshHWiIdmjs3wc4+f6e9Ikxh6zdBUn+n7+oOAPnODGJzn7dpNf+elxjW2o0fBZf58cB21CwWVGR8LKwdHWNi8vLcme8ek2XMgunmTGnF6rlwB616VG7XPvzgf/yT8U2NK6ro4YjKJGAkP71OFeez9UIgLGWp8IsTI1LNJMwSEtIe3dTOIruSBJ2L2vzcgx0pIYelqiSNzumg06nmx7wqZDKLCfPqMIsxQCWH3KV24Qi6rkJQYuZYq1ElbXnV4EUON4ZEHKfhkfxhdkwNdrbFpSlt4Ozxn3ipfjyJfgtw9TyGLY8ZGEOQInlcuUmbPpGcplwUL4Dh9msamPcsQUhYSEprEVsDDujdC4CFKwePL5/Ds1nUoZCVGxiwWfZ4379EHDdt3As+cTxXstw7txd3jh+kZiMyN4P6D0XnMG5XuKcKzwvH6idcpE8qR4Ufga6vb+YR0Rp91QyMIpgQmBEwI/CsRMCnQ/5XDauqUCYHnCNTGpkB4/gJSPvwQaqkU/KAgqKQSyKKfX1jwW7SA/YTxsBk4sAJdqkHHSSkHCMW7pVOVccG1qS9ZmIz1Yevxd8zfUJbEHO/t3Ruzgmch0CGQofojlPAlHupIvAlkR2ksWq42Q6a8EdLRGumKIKSJGkCq4GvMxzPngG/FA9+SB2ceC57FclhImEOFmsOCopE9+EGOsGlkDwtbM40eCxorrMUEZJN8+Oel1NqUeJoMnf8/+Ldup3MLqLI8NbVEUR5BadeIwrw0lmX5AlkCW/BbDQTPIwRqFbE2JoTqjHBdLWh8R/LiuVkYFUtiFb31208gSkiDiqVGentrfDV7PWzNtVdsZYoyMfroaORL8zGl2RR83K4iZbUkMpLGACUH9kZXr2gdy9N0mNB5Cv5nMhj6eUJp4T77DAVHjoLj4AC/gwfAc9Pe01YlkSB9yZIyyl2r3r3hMdQNnFu/AB4hwNsXtH4eROdF4/OrnyMyN5KO52sNXsPizou19wAh4UJCNzNe8DLi4cYCxmwBmhsmFIU+k0ytVCFn5xNIInLA4rHhODUI/IB/l5dFeVxIPNucdeuRt2tXmec4Cbnh/MEHMA/QX7GlLCxExvbtiDx8AMk8IMdKAHU5Smd7Nw+4+/rD1cMbrk4usDEXQF1UDFWREEphEb2UVRYJoSJ/FxVBbdYLLJ4T5Cm3IQndBOd5c+H03nsVhlhSVIRnt69TZpbEx2FlNMMsFhs+LVqhadeeaNiuI8wtGHYcbYT83ojHIJnjM1vOxJyQORqzZa9bj6wVK5DdJBiTm0zC6NZeWDaulcZ85RMYet3QqXJT4jqNgK5zQ66Ug1diiPpix5RFRYgbNZoqFcnv3nPVqhrv4wiLRdqixTTuJxGLdu3g+etyHMq9gG9vfkvPCSEuIVjRawVl/6nPQp4XefuflVG52g71h3WXlxWakuIiPDh1DHdPHoVEyIQ8It58bYeOouxRPL7ms40mnIjyPC89FUmPwpAQ/gBJEWGQlhgxleYl9O8+QS3h6ekDJ6kC7KinEN+7D8KGVhqCg6ZlsyFo1QqW3brCqmtXek5l6eDJLrp3H6kffwximEXYOFw+/AAO06ZpFdJDUz/Lf09od5cej8DBeymQKhjDbQGPg6Gt3PF6hwZo5WVLWREyvv8exZev0O+5Li5w+eQT2AwZjKLLKSg4FUcp9zn25pSGt7yxHFn/Lz/LxobLMbgWzRg8WCqKMJgXB8/0B1CIiuh+yd7dE65+AXDx9YcLefcLgMCqchYucmYeeHBgBRp3oiAnnrQXE27gbNwNsHiMN2GpkDAH/ztjiZZ3ciGaPARNFiyGJU/755iua4YuY2BKW78R0HVuiEJDkb5kKaRPn9KO85s1o2wjguBgrYAgYXqu/rWd3mMQA5+uE99Eq9cGvhR6ghhkpXw4n4YVIWuI508/Ujaj8kJCGQw4MIA+UwibXGP7xlq1oS4nKszOQuzd24i5dxtJjx5WMAole1ffVq0R0LYDfIPbgFvEpiFDSJgpIhwHPoSd3bAhNQfRWcX4ZWxLNHQxDBsgcd5IeRJBlenk+ZIVH1txjeLx4NkkCL4lHuqE+p0ocuurEC/wt7fdQZZQCnsLHtZNaoMO/pUbhxAjOuHlZBT+kwAo1VBJCyC5swVWXZvA/btvNe6prkVn490ddyGUKNDMUoL3PHKRevcainKyy+Cz9/BCUPfeaNqtF2ycnCuFlbDZXNqxGdGhN5nfprUNuoybhJZ9+r/ERDPn3BxcSr6EQX6D8GP3H3UeJl3XDZ0rMGUwIWBC4F+DgEmB/q8ZSlNHTAhUjoCxNwX5hw4j7csvqXW+Vc+e9GKJxefTy6a8v/ZAePp02UU2ocOyHT4c9uPHwbxRozo1ZGlFadgQvgGHnx2mnodEunt1p4rzIEcNHvSiXKAgGRCmA0Xp9L0oMw/paWykZ1sircAN2VIvqFDRG4ADKVx50bDhpkOqtoZE4A8J1w0SCQuSInnZ/Y89h4UmfDZceMzmXalWI1aqQrRUBRkTppUKl8eGtSMf1o4C2DiRdz5sSv4m7+aWXI0bX20HhVzEkAbqe6AQCwtx8PtFSI95Bh5fgJGffgXvZtV7dZA6ifKBxBWTPn1GleT0FRFBYxW+JFwuzBs2BD+oGb0wEzRrBvMmTcAuudxTFskgiciF6FE2pDH59KBQhqUjH/zmTrAgynQvK4PhVr6NhPZy98pFyAwNox+nNWTjowW/w91WswcGYUUgtFWEarqpQ1PsGLQDZsTbtZwQvGKGDUNCVhoy2gZj5PfLIbDWjg7O2OuGtvPMlK5uIaDrvCBGHvcz76Oje8dKjUNyd+xExtKl1APXZ8uWaqkNq0Mib98+GrNQLZOB5+0JrxaPwbcRAdPPAD4dqgVRqVJia8RWrLm/BsQDnRixfNHhCwzwHaD5d6+QAU+OMYrzhKvP63FsCPT6HGj+chz32hpRtVKN3L+eQByeDXBZcJoSBH4jzR7HtdU+Q9ZDPHwIbXPO5i30GUHEon17uHw0nypO9BWYaO5VAAAgAElEQVRyyRZ7N5QqseMe3IGyhM6dlGcrksAjrwju+UXgK14IoaKhQradLyx6fAaiDFfln4XXmoVgc6v2FiSeM1E3rlLPdPLMLBXy/HULaASf5oTiuCX1eOeaVR+24Ez8GXx06SNYm1ljdvBs8Ng85sUpeX/x/7Qc8CbMg5rNxsQhc+Do4Ya9M7uBz+HDyky7MD26rhv6jpcpX/1DQJe5QdZqYjRIjFmnNZ+GJg5NyjpM9jupH3+CwuPHKUuE/6FDNO5sqZDvH5w5TmN0k98az9wcXDNz6vFE/zYnf5tTrzNuyWelnxMDT8mVaxD++ScEBUJI7QT4dqgMUV4sDPEfQg2tzDnm9Q/88vtFuZIxtnqSC7ABh7GB1JO5vBBa1XsnjlAcS+nXbV3d0H74GDTr3gdcXkVPaUMCQih/M+NikfDgLuJDbyItIRZKwi5STiwlMjgWienLzc4Rdu3awaprN1h26lhhLujTLmJElbbwK3qmJUI81z1++B5c58ov//WpozRPgUiOg/eTsetWIp5lMs8zgVyCOSlX0DP8HNhKBcDjwXHqFDjOfBeckhBjJJ00vgC5e6KgzJNSGz7r3j4Q9PDCicfpWH85FpFphfTs5inPwABWNCxTH0NdgiP5DbwYfqS0TTbOrlShThXr/kS5HkCNJohMODYBj3MeI9g5GGTPl1rMeNE//+2xoZJ4YXCjrhjRpDuCXYIh3XuY7tksu3eDz4YNOsGly5qhU8GmxPUeAV3mBjkvRA8YAEVqGl0fnD/8EHZjx2hlXEOY5K7u2U6Vwy+Kq38j9J0xi+7NKvwO5HKk/u9zFB47Rg1V3L5eDPtx42iSmPwYrLy3EheSLqCdWzts6b+l3o6FMCcbT29eQ9SNy0h7VtHBhDwvAtp0QECb9lRBTWKTkxjcRFlL2Jlo6HMuGza9vGHd3Ysa/taGEKcGokhPCHuAhPD7ZYwqpXULbGwpzTt9tQyBtaOOYb1qoxMa6kgrEOOdbXcRnlIALpuFpSOaY0L7qqnRJU/Tkbn2Jth8RtFu2ckNdoMCqh2TPaGJ+Hr/HfgLo9FWHgPrwpSyVhFmriadu9O9gnujQHq+pmwqeVLkphUjr+TF43Ph5G0FJy9r2LtbIPlxGC5s3VBG80+MGXpOeYeeeUolMicS446NAwssanzSyF63O2Zd1o06MJSmJpgQMCHwChEwKdBfIfimqk0I1AYCxtwU5GzejMyff6HdsB0xAu5LvqkQG5R8rsjNRcGhQ8jbs7eMao58LmjbBvbjJ8C6fz+t6HqNgZVUKcWV5CuUpv1i0kWqPCFC4heSi+WWzs83Z9XVryJefinFlI49PbYA6TEFEOY+j2NamtfShgs3LzbcXSRws8uCk1kKOKJUwNwKaPsWYN+grBpiAVocXwDh2UQoS6xx1SxA4mmFXBdLiOQqqmQXC2UQ5khQlC+lXgfVCfFmp0p1J0GJcp0PMwEXbA4LbDYLLDYLHA4bLPJ/yWfPvwMUycmQRT6G9FE4pI/CwMrJgLmABa6tLT18VnjZ2YFjx3zGLv2OfmaHIokIR5Z9h+ykBPAtLDHkjbfgZGEFRW4eVYTTV34eiDehstxnivx8SqVZqRBleaNGVFlOQgYQhTmJa8g21+5SUyVWQByZA/GjHEie5gEl3h+kLo6tOQTNHSEIcqIx5QlOhhJyeDi5Zz0iDv1NN/45Liq8+dmPaOJZvTHBn4/+xLK7yygV754he+Bn61ehSaLCAoSdPYX7h/dBVBJTt9vrU+lFpzZizHVDm/pNaeomArrOi71Re7Hk5hI6t4khUiePTnR9beXcCvKH4Uh4cwqgUMDl00/hOG1qxTlckI+L2zZBpVJRZgq/kLZVekGRjOLwR0ieN5dehpFLF/c2ObD9P3vfASbHVWZ7KnTOPTlrNMo5Z8kyzjLO4ICxFzD7WNIjLbC7GBO8xjxYMGCwwSbYa8A4gbNsI0cF27IkK8eRRpNjT+gcKrzvv9Xd0zOa0fQEyTNy3W/qq+rq6qpb59656fz/+TdcAlz/8KBgnuw5idu33o497XvYNeeVnofvrfwe8qxDLIr3NPaGDiG5eEqcAMzYACz9LFB5Xtae72eipKn/oEX0yJ52QOCQe+ssmKdPPO9Iij9OYwgympI7OiB1+Nix5Et+bqdjHxItLVDDYQalaeZMJr1pW7N6aAOIAcAnyUBaQDu89S3m+ZCI9sbp9ZaUsXjk05evgbh3Hzoe/D0LPaCVPwfebgfvsEOwO1j8TIF9puOMcw47eLsDsToH4vXa4qCYZ4F1fh4s8/NgyBtYWjGVVfLKJEL/8JY30dnU0OcNBPKamT6TEeokdUwLuP1jBhMJefUzV+OkX4vvnE26+08SqlqABy/h8c9FWp7XlKzB/Rfen83PdXnErFD6cF40nD5lR8sOfPrlXvlQ6kuISCf56J6nnkLz7d/VwiE88gisixamASVjxU0P/gYH3tw0apBdsRiWVDdDUGScvGUdLv/2/eAnsGcaAULj346HDyB+0s/Ii5xPzoRlRm9/4W9vw3vP/R37X3slLXubW1aBZddcj+kr1owoLnm2BUExhCO7d4O8wCO7diGybx/UaBQyx6HLZmZqIB1OK3os/cb6HIeCyimYNF+Lb1s8fSYEcXQEPwu9RcZ6P7qb5UHIyUHxj3/M4qefiUTP23GyE9t//ygWvPAIvFHN239X4UzUfuL/4IoNKzG3dADJ6KjEwoSE329j1x8TFHxHDqFFlTAnegJr4ochdPb2HaWz5mDRZVcyYouMm0mOuq3mONtaTx5nMvsDJQolQt7pzbYAXgxvRlNuFJKoQuREzM6dzYjApQVL8eQ2AX/f2YECp4nFQ8+xmxDZuxcnr78BgseDqdu2DquvHk6bcSbKRb/n+EVguHXD//IrCG3bhryvfgWiZ2gD067mRmx74q84vO0tTeWC42BxzoOsLoGSqIES3wZFjrLzCy7egDU33tpHJYiMVVp++EMWFohSx22X4/dz2rGrbVcaVAoFQg4cEymRkefRd7fhyNub+4Y14jgUT53BvMyJNKcxNBGnlGieQm1Uz8YaKEFtbYckw12XT4boHb2KSQo/JRxG8K23WNgLzmSCee4cWObNY6pU3ACGq9TudjbWp73T6w/sQyK5jpK6p7uwiDl90FY6a+6EIdQjcRn//uQevLC3mb3Kp1dPwnc2zIQo9DVUoPAl9f/2eYS2vQvL0lshFi5j15M6o/fGGTAU9lUMicUT+OXDz+PE22+gMnwSYlLBk4x8Kxcsxqx1H0FB1Xz42xOMLO9sCqVJ83h0cANkXuTgLbIhp8SKqP991Ox6HvGIFk5r6vJVOO+Tn4ErX1OtS4U/IPW4n6//+bD+fYbbbgzr5vrFOgI6AucUAjqBfk4Vp/4yOgKnInAmBgU0uCTivPOPmoWs9zOfQf43//20E2CaNITefptNGgIkYZWMbUeTZ4pNSla4xopeAvlMlSUtHm9v2c5I8021mxBMaNb9lJYVLmPE+aKCRVk9nmKY79/ciMNvNyMW6o1VSj+m+UFOqR1Fk10onOJC4WQXHF5zVosEifYws8aN7E3KHXGAdVEBnBeUDzqpkCWFkfZEptPm74jAz461fbinb6ynrF4wi4t4JQFTtAvmWBdM0U6YY50ws8/a3hTrgpA0TAgbRBwv8KDB44DKczAlJCw73gRHbBBSfJDnUyxK06RJjCRPbaZpU7Mmy4d6LSUmI3qkE5H9HYge7oIa7x3c8w4Ds4q2rygCZxCGulXW32/f8iJev/8+iBIQtMm44Ktfw5p5Fw/4+4O+g7j5xZshKRIj+z42rZcUbz1Rjfdfeo4RLKn4ucaEhJLuKNb/6l5452QXu/FMtBtZg6FfOG4RGG69eKb6GTx04CFUd1f3eafCiAl3/zEBmz8O/sJ1mPqrviREw6H9eP6XP0GoqzP9OxYjb/osTF68jC30eotPVWogoxvyQgxt3cp+55kaQv7Vi8CXzwMK5gKFc4CcqVB4Ho8efhS/2PkLROUo7AY7vrX0W7h6ytWDt9HkpVXzJvDe74EjG4HkAgHsBcDiTwGL/gXIQj3iTBcuLUp1PXkU4V1tAM9pZMis7OI4num80f1pYYaMpBgRzgjx9kHJcZmMprJMhvJyJoVOoWKGq4xC45OGwwdYu0mLgClZYnq0My8f01etY54TFCMxtfjH3kVVIft8THWHt1qH9VzyumEkBykEZBhsGUrsGpk+Lw+i+/QGYERs1e3fwyTeaZ/5/0L5M1osKJ05J+2hTqQXYbO/Yz+r/2RESJLYZDzYZ0ueoz6Gzq97swvXvOLH/nIBP7jJAJ6Xsb5sPX71kV9lVTrDbTeyuql+0TmBwHDrBnka/enAn/DyyZdBSjyU1sUr8YVfnwQfSyDv619H7v/51zQ2ZEz47M9+hMbDB5jiw8qP3wR3fiFIXYK8bRPJTYpHe4/pXPr7KOLRKEIRP6I9fvAKwKkylp5oRW4wwmR4yXiYt2UvQT2eCk4OxNHxx/1INIfAmQTkfmo2TJUu9LS1gvrhk3t24eg7W9LxyIumTMfya6/H5IVLh9XeDfXO1NaTPHm8thYx2tNWXY3Ysb5jB7oPGeVaFyyAZdEiZihBYcLisoSGg/uZFyG1hUSAZCZSGiibPTfpQbgI3pLSrOZjA+WbZP0bv/6NtOwzmwN/9SssXNJYJlLXavnvu5jhAKVIXhEeXngNnrFUpg305pa4WKz0K+cXw2bSVExIpvfhbSdRu6UBX0gY4ACHmCpht/9NnOzcwa4hYysKA7LgkisQ6nFg72v1aKsLoGSaB9OWFaByXi5EozbHIcl+kjhuTZLqRLB3NjZATf7/pd/ZY8W8z34Cq+dfDKuh1xAsHJdwxb1bcLw9hPOn5+GPn1rKlOmOLF7CjKKrNv0TxtLSrKEbbpuR9Y31Cyc8AmeqbpAU+TtPPYr9b2xKKzZYXLMhq0vBC14YzQISMRmKHEIi8iaU+GGGpdXlwfp/+SwbP6bGjuRtfuDO/8DUF/aza55YzeHv6wxYX34+bppxE5YXnV41a7wUEimSHH13K1N1ofFzZtgMiiE+bcVaTFu+isWG75/ijUF0P1ONeB2Fu9KMSN1XVME8bWgjhmzen1Spgm++Cf9LLzPynAye+ifOYmGS/ZY5c2CeNxeWuXNhKOsl+FPXy1ICTUcPa97pe3eh5UR13xAhAIhQL505l/UxRKqPZw91mrfc+1o1fv5PLWzB2qm5+PalMxCTZCa7HorJcPzp18jb+HfIBiPe/PKPIAhFOL8mDJukIsEBTzmAF/gYbJ0nUdR1BBXBGliUXoxd+aXIq1wGs2M2Ap0C8y4fjCgnBx5XvgXeYhs8hTbEyaCvIYiO+sApv1GVCKToNsgxUm4kFUwR01ZcipUfux6dFh+ue+46qFDx+Ecfx8ycmdlUFXbNmWo3ss6AfqGOgI7AhEFAJ9AnTFHpGdURGBkCYz0oUCWJeXn0PP00yxAR5zm33TaszCVa29D91JPofvwJSC29lu22VavgueWTTAo+c5F6WDcf4GIaLO7r2MdI85dqXoIvqsV+o1RoK8RllZexuDmZcpCDPVOWFdTs7sD+txrReKRXNpwmT0SSF1ZpW8EkJ4zmwSVZB7q/1BmF/9U6hHe1pr3JLfNy4bywAob803ulDYWRFJcZwa6R6r3EukQTPkWFIimQAkFI/iCkQAhyJArii1ROgMrxUHmBbTCYoIpGdpwgm4EhvN4pX6LUAin8DqJyTfoHjpiAqe0yHLEwLFYBZpeFWX+TQYXg9WjH7n6fk9+nJNiHeuex+F4lT/9jXYxMjxzshJqMPy84jXBcWA7b4gJw/Sx3R/rc40f34LEf3w5TSEVcVDDjUx/DNRd9ps/twokwi2FL3oMXll/IrGwpViTFyn1/43OgeGypVDCZvG8uQOurbWjlynHRjHpM/Xrf+w2W17FuN0aKif678YXASOtFa6iVhRvY1rQN79W/jS//qR0zGoC6POA7twpwuwuZZ/qKwhWw7fZh55NPsEUq8laYsmQ5Try/Ax11fT1mKU4nkelTFi9n3mUpT1siaDt+8xt03Kd5x4oWGfkL/HCWR5hhU6PRgjsKi7Bd0IyeVrhn4Ierf4ii3EEm25EuYPejwI4/AL6MxfxJa4GltwEzPkqr0eOioIg87/5HNULvtTAZ3pxPzIRlzpmXGiQpTJK4JRKEEePMM7yvl7hGmHdA7uwE61yyTYIA0euFkJcLMScXYm5qy4FAx3QuL5cZ4A3kTTLQY6jN9DXUMTn0luNHcWLXe30kG60uN6atWIMZq89D8bQZYzoe6Z8fItIjB31MLSB6rBtQejtVUjyxLshjZSjYT0/OMK+ZpgZGHlHcYIrJScRHZiIZSvJMr5gzHxXzFqQ9N4YqikRjI6ovuJCWq3Dzpd/FF65djtvWTmJxb7NJI203srm3fs3ERmCkdYNiLz9y8BE8d/ApfO8PIZR3AIenmBH9yTdx9bRrmDoPqRw9/ZMfMjKY4tNe8dVvs1ir2SR/3I+3Gt7Cq7WvYmvTVkSkCFwBAy7YUwCnXyMWp7R1Y2qzD6YpVSj91a9gmjw5m1uPm2toztHxh32QfFFwVgE980Oord+L+kP7Eeho75PP8jnzsfya61n7MdL5GXkCxuvqNHL8ZG1yr5HlpzOWoradyHLLooWwLloEY2XlkOR9oLMDdfv2pL0ISaI3M9lzchmZTjFuy+cugNV5qif36QpKiUbR9pOfoOuvj7LLzHPmoORn/zMmhuBkCNj+y1+i+7HHtVBZFgtyP/c5eD/9KUbSb6/pxF+312HjvhbEZa0vtRkFXLVQMyp8cmcD4pKCvFg7LovX4GrDdOSby9h3TfETwEorpq09HzX7wtj3RgObE/ZPBrOAqgV5mLasECUzPEylLDMlolG019UkSfUTLMQJGXBRWISL/vWLzOMwM5F0/FW/2crydfvlM/HZtZNR87GPI7p/Pwv9RoZv2aaRthnZ3l+/buIiMNZ1g9qNd59+AnteeSFtlG5xToWsLgcv5oP+TxZcWI75F5QhFkpg7+sNOLi1CdFADaTwq1AVbZ2oeMYcmDfMxTNd/8TO1p3s3NXbFHziTe3/13zTxzDpuz8Ysl37oEuG8KD1BgopRAZLmUY0RdNmYDqR5itWD0ogy6EE/K+cRGh7C1s/4ow8nBdUwL66GJyY3XhyMAzkYAjBN95A4OWXEHxrM9RYLH0pEeOOiy9ifReplVG7QyR7/0SqiWSQxbzU586DZe6cU8J00Lia4qfXH9yHhoP7WGiR/sZE7oIi5pleNmsO2w8W5/uDLM8X9zXj64/vRjTRdz52Ye17+Mb7mkLCXUtvwZYSLQyWBxz+SzVjJafNdxsjJ7Gj/XlEZQ1HhbPAYCall1nghLxTxgmk3ugmorzIBk+xje1pcxdYIQxQ9jSnob6poz6I9oYAfIxUD7K1TEVuhxR+A4qUNJTjbLC41yOSl4ujwj4mAf/tq77MFDezSWPdbmTzTP0aHQEdgYmJgE6gT8xy03OtI5A1AsMdFBzoOMDipg0U91uJRND4ta+zASrJJBbdeSfc116TdV76X0hkPA1yux77G0JvbU5bdJrnz0P+V74C68qVI16ooWed6D6BF2pewIsnXkRDsFeujmLcXlJxCTZM3oCF+QuzWgSmAduBzY04tLUZYX/Sm5sDJs3Jwex1JSifnXPKAkO2wMj+OPyv12kTimQcbvNML5wXVcBYnF2M0WyfxeKI+/1M9lZqa0dkzx6E33uPeTjQ4lZmIo8ay+JFsC5dCtvSpczbm8uIcUjGBKGuGIJdUQQ6Y2xQGyQv+OSxv60ZUf/bkOMH08Q5L1ZAtKwAL/b1HiWpeIvDCIvDAKuT9qnNACsdO43a3mGAxW6EcJbiYmXiocoK8+r0k6x+jzYxE0kS/6IK5i04FtLuPl8LfvuDL8LcGoPCqfBuWI7P3PLd9P/B97d9H08dewr51nz8Zf1DOLl5G5vYB5OeukQiVi1eBUf+ctQfMSLQoS2M0bR02UfLsfijU7KqKsNtN7K6qX7RhEdgLOpF83//N7r//BdIViP+9+tz8Zp6CHElDmOCx5o9OShv04yFuFmFWPEv/4JFpUthFs2MBDm+cztO7NoOktRTKA5oMpltdibxToQ6ycWZrDYE33gdLd+/A4kWTcnDUmLEgZVB/LDKjDDPw6Io+EZnN64PBKnLA5wlQMEczUu9YDZgywf2PgbsexKQkjLeRgew4CZgyWeA/Oyt2890wZMXIRlehd5rhdQRYX2498bpsM7vG8P2dPlQiARn4TN6oAT8GiHe44fi74HsD7DPpxz3+CEHAlAjvTLnWb0rx0HweiHm5GiEeF4uhDQ5rp1j5Djt3e5RLSqSIUZXSzNajx9NEubHmEStFO9dXKM8U52ZsmwlI83LZ887o7LEg2FEi4sUsz68p02TU05x6TxgmuLRPNNprJGFcR7FDG4/WZP2UCdv0v7xbeddcCnWffLTfSRGB8vbyRtuZOOF++deDfXa63HvTb0S2UOV+Vi0G0M9Q/9+YiIw2rpx8jv/gchTz6DHxuHfb+PZ3m1y43rDBVCf3Q8i+iju6jXf+h5cBcXoaYuw8SMZuBL5IRr49PiqI9KB1+pew6t1r2J783ZIam8fU2QrwgXlF+DmKTfi4BPPYN9rrzDAc2IS5lc3wGo0oejuu+G8ZGDloPFUOjQP8O0/ifCTdeBjPMJKAK83/hVBqZdk5nkBeYVFKHC4UebJR57LQ5q7bJ5GhlrM2zD9mc7TCjotxNP3vZ+p3yCvciLJMw2mB8JDKCiAMGkKUFYFpbAcyC2CfdZUWItyYbaJrMxGMs6m/LTXnWRk+sm97zM1AjkzHBTHsfjeRKZXzFvEDPKyjece2LQJTd+5HUpPD1MhobjGriuuGLK4KU9KMIhohw/B5kYEWlsQ8rUj2NCA0JYtEEJhiLIC17JlyP/MZ2ArK4PBbIHJSmSDRmB0huJ4amcDHt1ehxMdGonBqzImh2qwKnYQrmT8WQqhs7Tqo5ikzgSncpAMPHYEEmiNasSJySZi9ppiVMzNRe1+H45tb+0ThozmZFOXFGDa8gLklTsGnJeT9PuL9/4PUyygNP+iy1ic2kwcH3mnFt99ej8MAoenPr8KeX/4Jbof/RtTsSv41jeHxCx1wWjbjKwfpF844RAYq7pBJOnO5/+BnS88k5bvNjsqoEBbvxCNPOadX4aFF5XDbO9rQBuLSDi4pQl7Xq1BT/NWSNF3AchQOQ5HyxPYMbMFqyvW4uPTPo5Zr9ei/a4fMZxd116rhUIUxk7dbiwKkFRcqt97G0e2bWZzrz6k+ZTpmLZyDSPNnbmDzzdYWML3WuB/+SSUsNavWhbkwX1ZJQuTN9IkB4MIvv468zQPbd4MMuZNJUNFOZyXXMpCRZKneR/1KEVBvKYGkb37EN23D5H9+1k4JlLG6J/EwkLmnU7EumXeXJimTNH6wXicXR/x96Dp+DE0njiGptoadLQ1M3WqzOSw2VHoyUOB28v6VBsvQiwsgGX+AmaA90GV+f7GHnzryb1o9UdhN4uY3VmLzz/7M4iyhB3rrsXBS2+EwwBY2o9DqN0LqWYfqowzMN97PkTegJgcwS7/ITRLLvAiqbrwrI925Wke5YwkT+7d+dYxWbuLhhKMTG+vD+D4zndQv/85yHHNUIUTimCwrgcvFmHyZTZcdlV2ag5j1W6MtB7rv9MR0BGYOAjoBPrEKSs9pzoCI0JguIOC216+jUmcL8hbgJtn3cwWjAy8ARSHrv7zX2BEK8UQKrnnHjg+cv6I8kQDy3gkglB3J7NYD3Z3oaemBl3b34Fh9z4Ut3UyQsO6bBnyvvrVPrEMh3pgS6gFG2s2Mm/zw52ahBYbqIsWnF92Pi6ffDlWFq2EIQuPQfLMrjvgw4G3GtmiQmo8TIsJs9YUY+bqIjhzsrNupDww8jqQYASH5KMtikR7CFHyZJe0wbax0gHnhWUwlTuZkUI2UrRpSVwixZMefiSNK/vIC7Az6Qno00hz8v4bJI4473TCungxI8xpM8+ckbVHX2a5dDY14t1/PIZDW95IS53lT56DSfM3QDAWM5I92BVDOBBHJJBgck3DTSaryIh2q8sIq9OU3Btho3Opzy4jzFbDiBbc5ITC5NjiUSm5l5GISlBkFVanAYaaHkS2NEEJaZMtigflvKQC5hneURl90L2isQjuuftzMB7S5KuFhWX40jd+hdeb3mAxnnJ6jPhs4lJ07DqQtognj8nKBeshKbNQfyjG8kmp0CpgVoEVjmAcBV9aAENBdjKjw203hlt++vUTE4HR1oueZ55B07f/g7186X33sT4kKkXx1nvPY+8f/wbOH4XMq3h3Vic6PW4sbrwE1oQLglmF2W6Ey2lDntuLPIcLSncD2uv2oqV6L+LhXk9bMiIh2WqKt1c5dyHk519A++8eAKJR0HLxqws4HNxQge8ULkRZZy3Qsg/orj19geTPBpZ9Fpj7ccDkGBeFp8oqCzUR2tGK6GEf2MvRAoKRh/vqKpgmGTVCnOTSk3u5q5t5gMvdqXPd6WsG8sYY7ouStG7aQ5zIcSLGM7zEGSFO573eEfUtQ+VH81hoZ0R5K/MuPwYKaxELn+ppQvLmBZOngpQ6SmbMxqT5i7ImTYbKx1h8L/XEmFd6eE87Eo0ZnuQiD8sMDyzz89k+21AiJEPZXH2UeaeTlzoR6pTsHi8uuO0LmLJ0xWmz3fnww2i9+8c44J2Ee6/5Ft78Zvbjv9G2G2OBp36P8YnAaOqGf+NGZtRL0iIFD9yHV/Ja8ND+h+Da78eSQx7w4KCUOnHlV76DaLUTu16q7TWATcJBIgqqqCDGRxDmAogLUSSEGBJ8DCaLAYXufEzKKWd7s82Aslle0EIwjW//+eBvkIhGYAKHeScakReIaCGtvv61M9K+jbQEUzFd68uGsacAACAASURBVA/uZx5zwaOtWGq7FCbBgp54O95oeRxxJYwciw05cRnu1nY4m1ohZqhhjOTZMi8ibnQhYbAjYbAhbrBDduRAySmG7MqDZHUjLtqQgBGxOIdoWAaFoxoskYKM0SqycT3NAag8aG9K7tOfrQZGuNs9Ztg9JvD9VKJInr/x0AFGptftfZ+R65lJNJmQXzGZkdWkXEB9hbZZYTRre4PFAlPyMxcKoesXv4C0Z59Gel96CdSSEpDEcainG+FwEJFIGJFYDBEpjqhK9Q2IiSKkEShYkfw6ywflL5mfsCqiMaTA6KuFGNFipfOCiOmr1mLhJR9FPJaLYy+dRGlrCHaBY/PRBoPADICnrSyCISnXTr8jsqv5RA+Obm9F9c7WPiHKyFuQJN5pc+X1VUYjo613nnoMbz/1KCOYqH+98uv/ycKgsPuqKj7/51146UALKnKseKysA13fvwPWJUtQ8edHsq5io2kzsn6IfuGERGC0dYMMrna99Bx2PPtUWsHHZC+BAvI4r2AE4Jx1JVh86SS2BjFQorA4r9a/iicPPYWOgzEsqFsKV8cRKJLWzogmD1Z+7DYsveI8tl7Q/fTTaP6v7zADJMfFF6Pwu7ef4vV8tguDDGKq33uHxTSn8SIzikom+r+ezkjzNXDlFwyZtVitH93PHk+PYymOtvvKKTBNHp7qR+pBZLQbfO01sPj1W7b0Ic2NkybBceklcF5yCUwzhqceRUbEsSNHEdm3F9F9+9k+fvzEKXLtQ71wgufRZTOj026Gz25Bj8WUDrmR+q0lloArEoM9Fodd5eCtqET+vAVwLloMy/x5zLj4bKdEUxNqPn49C0tlvfACJG69makNkOF65hzKZHMix7kIc4UFcBs044cWkYf5I+Uomu5h46Oz6eQixePY8fzTbN0xZRgdtZXB/dF5+OK1n88KxtG2G1k9RL9IR0BH4JxAQCfQz4li1F9CR2BwBIYzKKBYl3dsvQMvnXyJxVemVGAtwK15l2Pl/2yCVH0CRLKW3X8fI1oHSjTICvg6EOrqYgQ5ecamSHLap87194TKvJfLZMHUY7XI6wowIt123jrmkU4WpP1TIB4AxYSmmJ6bGzenpbHYJIUTsbpkNZNnp3idmTHZTldnyMOcJLgObm7qY4VfMt3DJk6VC3IhDLLoQQsP5FGuEeQRSO1hJJp6IHWEIQcU0jga8NGy7zhih56G3HHk1O9TRHr/PU8rfyozbsiMPZXN/wPvcLABumnqVI0wX7YUpmnTsiLsB7u/r7Ee7/79MRze+lbaQpm8QVdcdxOTwR0sSQmZEemRJKFO+GvHGsGuEe1xRNj5BJOczzaR7CDzXk+S7USwCwaBkeHxmEaKU1wmIssTURnxmMT2KQL6dM+xmAVMcxhQJskQkllScswwri6Ba24us0ofsdSlouDeB76JxOuHQd4j8VIb9hS0ofyEgIIuczpb+ZVTkFu+Gh1NhfB3aGS+nQem51lQzAN8hnGC8+IKOD9SnhV0w2k3srqhftE5gcBo6gXF8zx50yeYrF7uF76AvP/7ZbaguvuVF/Dm//6eGYOQp+DiT9yG3e8GED6UXQgM8oZQpSbIiRNQEiegKr1x0wl0Y34ZDrqasfBANdYeklk5UD+W96UvwXPTjZqqRrQHaD0ItO7XCPXWAxqpXnkesPSzQPmKUxZAPqgCTXREEN7RgtDOVmaQ1Zu6ILe/j9iR1yH72gbsE0iCWxZMkERL302wICGaEDNaoFI8b5MRnMkM3mBiBnO8yQzOZNHOG82gMBqcMXXexGRlWfxXjmNtHhEdzFOQ/lKfac9rn/uc57XfUHdGiy6iQWDePSTpxwsKVDUOVYlDkWNQlQTkRBSyHIcUo9jEEWaMFw+HmFwzEeb9pXoJHyIcyMOwsGoaCqumoqBqKrxFJaPq785m+Sfaw2kyXWrv9fZXBQ5CpQvOJQWwzvSCT8bAzSZvJD/5zwfuRVdzE7ucFkM/8unPweYeOAZlorUV1evPZ/Xqlotvx6Yffxxua3Yxf0fTbmTzLvo1ExeBkdaNeH09aq65lnnx5nzuc8j/2ldBRiKb/nAf9r/2TwbIsdIQunOnYWHzJbDH3eycwSSw2OlyPPtxZH90aS4we20xPPlxvPjrn6C9lsITAZNbuzCtpRP2JUuYLLWYl/eBFAz1qz2tLZr6BIV0OLgv3S4WmCdhdcE1MPBGdEcacHL/7+Hq6YInFIXQz2tOLC6CaXIVC62ktdmsAQdrrFkbz0NSRQQVK0KKBUHZghBtEh2bEZGpfRh4znM6YHiRg8VmgNEisvF5LJyAFB9G2I+Mm9McwJFrZh5xRPhqewuctOWaWX9D89S6fRTfVvNQH6gPOZMFyasqzCpg4QWYRCMzQlO9nmT/FmZ9XCwSPkVBZLA8kUEteYDPXHsR6g/FmUx7d6umMCZwwMpiK3JSxr8ldnhvmD5omDAyaCBDciLTa/Z2gIyLU6mg0skk3qcuyWeqYalUs3sn80aPBgMw2x3Y8OV/Z8pAlHrCCWz41WY0dkfwL0UKbrz/W+CsVkx/b3vWXpgjbTPOZBnq9x4fCIy0bkiJBPa9+hLe+ftj6f9/ozUfKrccvGEKW/Mhp4nFl02Cw9s7B89863p/PZ489iSern4anVFtHkLz9zXFa7DBch0Cr7ag6dCzgKoZdFqcM7Hy45/GvPNnIPT6JjR+4981BwdRhOOiC+G58Sa2NjPSdYThloi/vY15mhNx3nDoQB9P8/xJVczTfPrKtXAXFA55a1VSEDvRw5Sxwru1cCCcWYDrogrYVhSDo4ZoGImUTAKvvobAyy8jtHVrH09xCunBSPNLL9XWsaiPGqNEsvDRgwc0L3WSft+7F0Q0s/dJznvY3mDQPqf26WMDJIMInyqjXUmgPR5FZzwyaPRDU0KCLZaAUzTCU1iM3GnTkb90OfKWLYNgzt5hZ7ivTwqUx2++GQ2NdWgvL0arzcz6n1SieYG3dD6C3WUIB3PYWICKcFmZDflJVU7BY4Jpshsi9as5luRG88Xs5vLDzXP/64OdPmz52//iwJuvsq+WXHEtzvukHrZwtLjqv9cR0BHoi4BOoOs1QkfgHEdgJJOJ9nA7Hj/6OB4/8jhMjT585zEZ+T1AxGWG9dc/xoyll/RBjRZravftxvsbn2WxarMlc8mi3+b2wubxwO7JYTKiR7a9lbb6zbfYMWX/UbiD2iDOevGF6PrkJdhn78IB3wGQ3DzFgu6fFhcsZqT5xRUXw23WFs2GSvQOjUe7mbf5iffb0yQteTfMWFmkLZYV9vXeJbI83hBA+P0mxGs7IXfFoURo4D54HCdG9oR9UIJtUEK0tUPproPsOzpUFk//PUniejyMFGcefkwal44pRqw3ea73mDeNXDKrf0YolixNOg9veytd9pMXLcXK625C4ZRpo3uvfr+mcoqFJYR74gj7Y8ybiG09cYToMzuvbdHgqVJcw80MyXuSzKeB5D5NApPpJ8l6IvJTycABU008Kk08xOTErS2h4KisQnGb4cixwEFS7zmaNwxtNrcZdrdpSCvdh5/5GZofexUGubdOkYdt2exlEM2L0FxjhiKpoDyUWwVMIa/7pDwa5Y8mrNZ5ebAuyoexwpn1xHIk7cZwsdWvn3gIjLReUHxTineZaGiAbd1alP32t0wW8ZUHfs3afEqTFy2Ht/wqHNzqY3Wa0tRlBcidZURdRyNafG3w9XTD7w8jEVZgkqwwS9bk3gaDorVpitzFiHQ5cRyq1Bu6A7wDzpw5KOmMwVu9A45AHSxTKlHwX/8F28qV46IwqH2jdosk6qSEwrzxEt0BRGsboVR3weDjYFR7vb6kRBTdnbXwddYjEo9A4UUovAGSYIEsmiGZHZANNkgGCxK8CRIMUBUiorugyt1Q2L4LqtLNNqh9Zc2zAyXV59E+ubF2kNqs1LmUTHK/832uIxc1iRHmQBxQqY0dAWnC8XDklCCvogrFU6ehfN5M5FdUQhDPziJOdpgNfhWrA6EEk5rubgsz4iN1THuLJKPUwKPEyMOaEZeWkAo7jOAnu+BeXICcya4B4wpmPpk8Md958lG899zfmYcRhUI479bPYvZ5FwzYV5z85CcR2bETD87+KK758bewdmp2BOFI243RYqn/fvwjMJK6QdKpJz9xM4tjSrGxK/73YUSjETz3sx8xsphI3umrrkNTQzkSmjMugsYu7Cx9Be1lx9ARb2dS1qJshFmxYaFnMVbkrsR89yI4OGfaqJIpEJGBZdK4kuJxNpBiVJJ7JyPJactyEWj9Jw5t0STdPZE4FtQ0weH2ouQX9wxqbDzWJUMkcP3+PahNkub9Y5jzioLp4mTMKbsOPC8i0XYA0XfvB+Q4DCUlME6pgqlqCpOnJUlZIxHndm3Ow9qj9gh62sPw076NjiPobo8ww9bTJRpDE05ss1EIJm1vsvcep75L7Wms3Z8EIeI2Gk4wb2gi1KNhicUcpvkA5S9zz74PJpjS1ek82ql7ovF4JrlOpLoidyAebocsxSDFo0iQkVbKWCsS7nuc+i4cTks9p/AwiwZYzBZYrXZYHQ7YXB7YvDmw5+XBXlAIR1EJ7PkFzLs9G9JHkUkVi4zGwohTPHk6DocRY3mgcxE2n86fNB8Ht7Th0LYmVpcpGc0CZq4uxtz1pex9I/s70PX3Y0xOmTPwcF0+GbblhafNB6mFndjdjqPbW9BwuCs91SdjubKZXsxYUcgMzMkogci4Z39+N1pPHGP/jzQfXHndjczoYmdtJ67/3Tsg9bRnX7oDQiyKyc89ywy6s0kjaTOyua9+zcRHYLh1g/6nDm5+HW8/+VdWZykZLF6AWwbeOAM8z2P68kIsubyS/d9QiskxNAQaUOuvRX2gHnX+OlR3V2NXmxa+gFKeJQ/XTL0G1029DsX24vT59nofXv7tH9FaTfMe6kiMsHjWYulHr8Bkpw+B+36ByO7d6euNVVXw3HADXFdfBcHpHNMCorEmGZ5Wb9dI87aTx/vcP6+ikhHmJM/uKeobdm+gjChRialiRQ74mLKiGtPaHkrWJQVwXToJgr3X0IapMgaDmnIiKSRmKiZ2kopi77lEU3Mf9UTChbzMiTindiOb9nOswKPwk0whcoREPbXfTUcOMew7GxvQcaIaXS1NiMa0kHsDJV5RYecFuInILp+EvDnzkDtzdloBgOoxhTXT9krGMX1OfZc8r8hQJBmkGKJIpLIYw5FHHkJjyA85wznI7s1BxbzlUNUq1B8xIRHT5mNk2DZrdRHrSyjGePR4N7oePwK5Z+CxAG83pMl0jVhPEuy5FvCWkc/LyEhDiUjaFk4k9xK665vQsHsfZt9yKexV2YUxG267MVZ1Sb+PjoCOwMRDQCfQJ16Z6TnWERgWAqMZFPj3vI/af/1XiP4QmjzAXTcKaHdzWFq4FDfPvBmrc1fg8JY38f5Lz6GzsT6dL1qEtXm8zJOJ5EG14yRRTnuvF3a3FySTF+qOoZsWY9q0RWJZiqDtxOuo2/daOsatg1ex8GAd7DGJOXBvns3hiTU82jyalWmJvQSzcmYx2fmLJ12MQtvA1rFEeJM3My2qEAka7Ezuu2Islg49P5XIsn7OeSWYsigfYoa0nRKOIrD5ICK7WyB1GoihPKU8VEWGGu7oJckjPvBmGYLbALHACVNZCVuwMpSUsr3o9WjxkkgiS5Y1qazUXlFAsbdB90zvZY2olrXJCRHnLE7sWSYIOupO4u2/P4aj72xJE+dVS5azhRKSxf2gEy2cked6mmDv0Qh3Os/iX5oEtqjEyHHa02eTdszOE2E+iNIAeaxTzHe2+bQt0hqCszmI/KiMFK/RFFdwOCqDxAcGShTTnWQmbW6NWGeb2wQbSU+yvQkv73oCO373EAySgEkzLoASngu/T2D0VIGBQ5XLCK+sgMuIl2ue5mWkuWWmN2uJ38z8jabd+KDLXX/+mUNgJPWCFknrP/dvTGrPUFaGyiceR6e/G8/9/G50NTeyWNNVS65Ga8NkxMNam1Yy3Y1V105BfsXAC0YRKYLqrmoc6TrCQnUc7TqKat9xSBEVZsmWJtfzuj2Y1MzD5m8B1NTiBA/eOA0GcTY84TA83cdRPMWFad/8DKyTys4YeNTuhHpiCHVTHxRlfR9tQdpTWAtfGKGApIWRTSa3wKHcyKHUyMOQXKyhvqJNUlEbV9CSUAf0ZGBe2ylinAwKkoQ5Eee9OAz8qhwnJD1PRu6hOeYgcrTIQooe5OVO8SaN4GjP0V47x/Fu8GIhOCFP+y6ZCDZqRyncSsqQiYyayKCJPBOpnR2snR+r96AyIwKIjCLIk5JUV9g+LsPv0wgpIspTYyEigwZL9D70Hu48C0wxCaa2CAqICMrw6FEoxrGswm83gqtwwVvlYrFrc0psjNzon1prjuOV3/0KbTXaAmrFvIW46F+/CFd+37FU51/+gtY7/xtH3GVovPs+fPH87Pr5kbQbY4W9fp/xjcBI6kbrj/8fOh96CBQyYvI//o4AFPzj//0A3S3NEAwm2HOvRCyqteUU5qdsnQWbbE/ipbqNkFUZJsGEVcWrWIiq80rPy9rQlu5H/6+HtjXj0NZm1n6nkiunAb665yDFIzCowLyaZhRE4iy2s+eWW0a82D5Y6UWDQdQfpHAMWkiGzDkY/YZTVLjDUeQGI8gJRpCXvwyWeTdrah9GHywLAPNUktGtBG/TiHIinjubQvA1hdi+synIjocyRiVC3JXf69lNbZMrX/P2Ho0S02hrLs35qH8lsp8R/+3hpCGAZgBAhhFDJWpvaQ4omgQYqB82kUKKNj9I7ek8fS+KHDhBgiAoMFrtEA0i61t4gWMbebGyY5E+D3A+eR2FlicVLIXipNM+tSl03PccvSOdk5PXULixk/s60kYeJLlORMeMlYVs3pOZZH8MnU8cRexYNzttnu6BeSaFWCGCwwzBbQI3yByIxjLVO9oYmd5WG0jflozOKV76jFVF8Bab8eb/Pog9/9zIvp+0YDE2fOkbsDic+M3r1fjpy0fwP1vux+yO4yi66y64r7t2qOJg34+kzcjqxvpFEx6B4dQNIhb//J9fTSuIiCYHOIGI8zmgcXDhPAssK8JoNdahLlAH8jCvDdSiNdSKgUbe5G1O/QrFNl9Xto6FPxws1R86ipd+cy/87Zp6CY1bzc6LMXPNQpTlRWHe+gyCzz8LNawpR3BmM5yXb2Be6Za5c0ZcTkSaNh09rJHmO95hSiWpRF7FJTNmYcrSlZiydPkp47+BHipTqKGDPraRxzmS4eNYnk0qRHccvLkdaripH0HeyQjyzJjlg72UwolIGKwwTK6Cde16WNashVhSprV7UrJNlFTIGW0jzbdSbWX6Gllla21poRU2xdHmOZniK+w4eSI9C+o3HSKVrFQfwI6pj0j3C5qSlva91jcMplqZ+c7RUBBdTY3oOH4Mbfv2oPPkCXR3+hCUE1BGSNYPt6LYHS5MW7senuJ5aDhqQu3+zj59ybzzSzF9xal9Scp4QuqIpkNUkgqnMoQjC28V0+S6QOR6roUplZFhl0aMJ/eMKE9AzTinZqihDPSe7munwL6sKCsIhtNuZHVD/SIdAR2BcxYBnUA/Z4tWfzEdAQ2BkQ4KQtu2oeFLXwbJ+phmzULP3V/GX1qex6baTbCEgBm1DkxvcMKQ0EhssqCfvf5CFmst01KVBqvkrZvpSUVkOVsobg8PKsunKn4kItugxA8mi5KDYJiC3HgZrLEIDIkeCFPzUPzRi1A0ZTJbJCNPhzQ5niTJA0mSnBEVXb2xoQeqHzTInb6sALPXlSCvTItzm2hpQXjHHoR31SPRzoMzloIz9MooqYkIpNZ9gNQO3sGzgaChxAtjWQmMRJKXlkLMz89amm481lsa1NPCZHdLk7ZvbUZnUwOaj/XKzdOEa8V1N6Kgsmo8vsJZzZPUGUX3KycRTcqW0bwrkmdBk92I7pCk1dHuWB8pxNNlkBYnjQ4OgXYixQAPkWoWAWUmHkLGZNVQbIN1UQGs8/MgZMgpjuTlR9pujORZ+m8mDgIjqRdtv/wlfPf/li0ATfrbo6huacCrf7ifxSozOzywuK5AJJTLQPAU2bDq2ipUzCGJuOHJ8JEsb2OwEUc7jzJi/Uin1j59YcEXUGmdhF0bN2Hfaxvhb+tVLaFFK8E0HwJ5mqg8cuwxVKyehpKZeSisIg9erg/pyUhQRoAqkIkETX7ucyxpxCj1e4wcT5LkQ3nqUV5pedvEqSjkoygzm+BKxpej78JSFI2xVjRJLYgJUYDkzTkpLW9OEueKFIWUIGKgd0F7oNpFRm2eIlJVKYa7sDh97CqkWKiaJz8z6iIPETLioo3UU9g+41zyO7qm91rybEheSwRA/+PUffp9R/c1mMxsLGEwa3uK70rnyMiC5UlRNcwzCGgqj0RcZjiTIZOfGTRF4O/QDJtO64FIfvI8B5MtSXSQnDyRGLxGeLCNzqU+p4+T5EdSpl4jx1OkeMZxQoZM9YXi+g7THoF5RuZb4c63gEiQ1DF5fJC8fSoRJj0dYXTs8yF60AdjaxjWjDjChCuR6c0JFa2SCnORDfnlDuRXOFA8zQNPoZX9r9Fi8s4Xnsa2x/8CKRFnBo5rbrgFCy+7Ajyv4U+eQkfXngdOVfDHz/8MP/3Khqwar5G0G1ndWL9owiMw3LoReOMNNPybFtey9L7fwJfrwfP3/JjF6ORFF0TrleCFPJBxIsWpJfWolBFsc7CZESDzcudlHdJpMIBpcb72QCcObm4EkZbMBlbuhhx5EXJCIyUq27oxvcUH92WXoejOO9NE9UgKjWLzNh45mJRl38uMXahN7m0IVDgjceQGw4ww98RkOOfNg2XlSgjuxYjs07zDyMvYdlklM9jpJcuD7JjGpoMlmmOl5M+ZFHqSMKdzJuvgRNFI3vVs/CY1N/V3aAbc5E2vkeyaQRN5tU/kVD7bi3nnl6F8llcLpzJIYkYG25rQs7GmD/nFLqewKm5zmlAXvZr3oJAk2FMhQ7paQkzi/fA7zcwwPZW8xTbMWFEEKIfw1l8eYGM+R24ervzafyJ/8lTc+sftmP70n/Cx6jfhuOEGlP7g+1lBPtw2I6ub6hedEwgMt2488cu7Ub99JwTjUgjGBcz4sin3CLYUP41OmybVPVCyGWwod5SjwlmBMkcZyp3lWFKwBKWO0qxxpPH0nk0v4a0/P4RETCPKeeMs8EIhiMwvqMhHAfzwvPsChCN70vc1z5nDwk85N2wAbxla1ptiRJOR1bHtb+P4zncR8fek70XhjchgcurSlZi8eBmsTi0uudTVhURdHQsRKPf4Ift7oPj9kLr9kHtkKDEXwBWCM/b18JX9TZBa9kBq3g2li+Zapw586QyFkUoYHIgbHUg4ciG5CyDZ85CwuhGn87wVMZgQkwTEk+uMWQM7Di+keUSKTGdEOxHrRLpT2KrkXhjgHBHxgghEWmoQrDmIYONxBH1NCEf9iIoq4qLWtpPBHAcVFA6EnCk4lY61vXY+eaxCuwaZ16mwRxOYef3NkGdfgX1vNLLxQCqxvuQjZSgnh4zT9CUDwU7EuuRLkeoRZBLsSuD06jVZFSOFkjGLICKevNkzN+v8fJgma/V5qDTcdmOo++nf6wjoCJy7COgE+rlbtvqb6QgwBEYyKPBv3IjGb32bySVZV6xA6a/vZQs/DQf3YdtzT6Bh9/vpMbHfmkD15ChmrroAlxd8HNagm5HjRJj3tIbR1UZx2waXYVUgI2DuRI+5nW2UrHEnbAkX7AkPzOEYlNA2KFKK9DBCNC+FYF7Ux8ss6+ImbzSnEXZvSk5b25NHV0mlFcrxI4js3oPInsOIN8vgbVUQ8maAE3oXiNQYaUK2wFhqgG1ZFSwL5kFwaIT76RIt2JBscV/pvTBbuBYNBggGI0Rjcksep84RgTBcQmmo/KS+12SDA2mSvCuDLO9qbUY0kNTAHOCGU5evwoprb2TxZfXUF4FEawj+V2qZnBlLAscWojijwCQTVZ4D+b+QWnVCVhCXVMTiMqJRGZGohHBIQlxSmEE3XecVOEyyirBkmErzFNt9YT5sC/Nh6BdiYDTlMZJ2YzTP0387MRAYbr0IvPoqGr74JfZy+XffhR2t9dj/uhaf1uyogspfDI63wOo0YtkVlZi5quiMewO3nqjG+y+/gMNb34BM8QZZMkIwzWZkOi94x7QwiOTg1AiMXBQWNQabEoEVEswCD7NggEkwwyxaYTY4IPJ9Y0rLioSG8FGcCOxFW7R2WPmiOKiMHE8S5Cmi3F1YxIjpD0NKqc5oxHpEI9gZsZ4k2DujzLvvbCZaSMtcKOtDlBNhXmBl8XnJo2WkiWKmd29vYX0P39lXFrJLUhiZ3pxQEFTA/vcopnPpdA9TfpClLmx64NeaFDbAwrBc/Ln/i7zySezz/htvgbB7B45ccQuu/ul/ZZXF4bYbWd1Uv+icQGA4dYMMWmuuvgYUEoS8upsXz8PrDz3AiGROKIbRfiUsThcWXVzBFKTIA+xsJFIi0rzSmxDoDEGKbIYce5892poQsfh4LXJKS5D/ja+Dt9tBIZQ42owm8CajdkxhlQwGBAM9zCuQDFU1w1XNeNXX2JBW5Uq9ky1KhLnmYe4NRuCYPBXW5R+BsXI+OEsBYi1RSC0hIBk/vNVpwqGwhB5fdFCDHmqPvMV25BTb4C2xIafYzsjy/t7LZwPXD/IZZCCRMs4ixSkyiiMJWykmM4Ot3nO939F5+p6uTXmE9/UY17zHT/cdfc8MtjKNuISUEVev4VbawCtt8KV9R0ors9edGnJsKCwTLSGE3mvRyI7OCMgQmE1OTpN4G0nzJgl1rxmGIht8cQWHdncwqfdUvHR6n4JJcbSfeAyhrjYWTuX8T30OhcvX4wff+BW+vPkh+EqrsGbT80Nlk30/nDYjqxvqF50zCAynbtD/5j1fexKmmAMcZ0Kd6xB2lL2IiD795AAAIABJREFUNkcdw8NhcDBinIhyts849pg8Y7YmE+7pxpt//iMOvvXaoOXAC1YYORGWgB+2sB9mSYKZN8C7ZCkKNmyAZ+480Jg/FaqIHB9q3t/BPM1rdu/sE17CZLOhatEyVC1dgdKSCqgNjYgdr0asuhrx6uOIHT8OuVOL4a4lDkJOFcTCBRCLFoC395Lm1PcqnSeQaN7NSPN4PIi4txRxVzFijnzELDmIm1waKc6ZEVMMiCaEPkpb2VY+MhzNVPAQmJoHD7ZPKnqQ0XPvcUrlg2fG0PTbFAGcNilKGWoTEZt+3SQp3fv6fb7TDHk1g1nW5rNNSfcJ6fMxOduIltlCcMp1mhEdx+oix6kw8AoMvAwDL0GkoF0cBe5KQEQcohKHQY1DlKMQlRgEKcKOeTkO37QLcKLLzUKkUCKHIgrJQR7n/cNXjjiz/X6oUF/ZGYXUEWFe63KSaKfLiAjniBC3GnpJ8QFIciLPh0vqD5T/4bQbY/X++n10BHQEJiYCOoE+MctNz7WOQNYIDHdQ0PXoo2j54Z3Mm8xxySXIv+tOHH53G5NpJ8nuVPKWzUQipxItQTOMAScc8cFJBxUKgqYu9Jg70G1uQ49FI8tpC5h8sJqsKLIXochWhEpnJebkzsHs3NkotWuWvCRnemz7Dmx/5s/obtZIBIPRDgc3FUK8DHGzF3GjEyovwsQnYBFisPBRWPkozCCyIgyzSlsIZjkITpagyhIgkSw6bRKUYAjxpm6I+XMhFi2E4J0MkrNKJy4MYxEH27IKmBdXIRL0g2IMBny0+RANBZKx6MIsXl6MYtSxjeLVJWPWRSJ9PUayLkUKIcdDMBogGk2MbGdEu8EIsh6mmHLa4JlnA0mWb5oM0Gc6n/5eO2bToeQ+2NmJ7tYmxEK91qYDZYvk+Il4cReQx2IR81jMr6xi5IyeTo9AnMIDvHIyLZM4WryIfLfMyWUS7aYq95hMHvrnabjtxmjfSf/9xEBguPWi48EH0f6zn0O4/mN4O9KV7EM4iOaVEMzLWfiEhReVY8GFZWyBXqGFiNYwaDE3QfvWEFSSWU2tbGQsdmgNGbVzyS9ZuO2MYyaLyPdaptNEPDUBt9KSQhzVe9/B3s0vo6NFWzCjZFZc4M2LIFvnp/sAMjLi1Qg4JQxBDkFUozCqcRhAixQKyCGYJNZFgYeBFyHyKWLcBrNoh1mwgc/sT05T3HE5ikCiE/Wxo2hDHWAWYCJvbIuVbSarttc27Tz7PnneZLWxuHi019PpEaCFMJKijYbIkz8plauozNNek9Dtlc9l3yc/971WhWDQJBxpz7xMUp4lhqSEY4aHSTZSjmNZblJ3FJH9PkQOdCBe09cYLqGq6JFV9EjavpuMCVxGFE/3QEnsx5GtT7FxDBnwLbvqY1h+7Y0I/OMfaLnjezDNnMnks7NJw203srmnfs25gcBw6kbs2DHUf+lLgM2GPUtX4eTuNxgI5LVnz7sUiy6ezOSqqS9h/6OBOKQuIgSjkGmhlgxmQokRL2pT9yK4TJrkaK6ZyY2SVy6NyShR+1B3wIcDm5twYuc7iIdeBlTyyDWiMFqM8vYWCIkQZC6MBJ9ATFAQNokIGw0ImwwIG0UoybH5QKVrjicYWZ4biCAnIsNROhvCnPMAdyU42QohJPWG8sm4gaSqOBRRcCJJpLN+zm5gIR3SZHmxHeQxbBpFTNJzo0bqb0EIpP9/Mgh1jVyPQiZp3tOEGWH/IyU2dCvA8cYgaupDIJpHVWNQYq8gETnGQJ617iOwzFiLgi/eigQnIPHsJiyeOnAItsxSGU6boZfmhwuB4daNnzz4e0g1FkQX1aFwiivtTU6kudvkPi1Jrqk0UcNPY0YVnKitwYw0NRzajyNvb0Gwy4fulg4EfB2IhXvonzHrWxKJTiESKDwWOWekkt3twaSKKpSY7fB0+5E4cYKR5WSMdmriwJldMFTOh1gwH7yjCpyQobwIFXFTAgET4BMFBCQRoZCKYEAjkrNNFC7P6jDCwjYDM+bUjo3JY0P6mPql0WCbbZ7G8jqm1iWpSZJdUybTCHfNECutWtVfvYopm2kKZ0zBKnncX+WKDJTIkCsekUY8pun/vuRMRKQ5GbNPRGWZkZbfcNuNkT5H/52OgI7AxEdAJ9Anfhnqb6AjcFoEhjMokIMhnLjiCiSam6FcfT1qiwtxfMcbSMSS5CpngGCcBcG0ALyQc8pzI2IAXZZWdFvaNIKcEeVtMLo5FDjzGUlebCtmMcqL7cWMMKdjp+iAKimgeDZsAkIeugNMQmhR+/C2t7Dlb4/A397Knu/x5mJGux+u/YeJFQZPGteDJV4EZ/aAt3jAWdzgzdqes3jA2wshOPuSwbIlhkiehC6zD50B8izRJjTBTt8pniDDqYZEbButSULEbAEviswTUk7EQVJbJJ8qxxNsfzaT3ZujkeNJWV+NMC9i5z4sHotnEu9EWxhKMA4lrkCNy1Bpn9D2RBymjtl3Ce0adi27RmYLt9YF+bDMyUFKOvFM5Xc47caZyoN+3+wQuO+++/DTn/4Uzc3NmD17Nn7xi19g7dq1g/74qaeewne/+10cP34cVVVVuOuuu3DNNddk9bCR1Iu9jzyENza9gEQ0AnBWGGwbYDCWY/6SfMyc5QXvj2tkeUsIctfgnnFZZXCEF6kcICGOCHlPyBHElShkstKHAQbRDJE3wyiYYeBNbBtJIon5OCJI8HHIRhmKmQNn5yE4TTB4rDDn2WEp9MCa44GZvBSTstkjeZb+Gx2BgRCQA3EtXuX+jlPiVaaul1UVfiLViVCXouiJ70B7zw7IqgR3YQku+uRnYHn7XTgvuwymqVOzAnok7UZWN9YvmvAIDKdu0IL04TeP4tWH70UsfJK1xR7XR7Bg5XqUltiBYEIj+Ig0p75kCA/aMQEvRaoTmU5bklyPGwTsfa8auzY+ACmWlALmnYBC4TVO49mrcjCoRpgVI6yKCTZZgE3mYeMdMHurYMqpgMlohxk8+Z2d8gppo5ikYUzMIrJ8uZMEOfMsL7YzgkJPOgIjRSAtzUve6kSsd0SQaAgyo8dTqjcPxMwGtIYSaAtL6AjvRU9wE/s/sHtLMP1gDWw2G+Y/+GsW+myoNJw2Y6h76d+fWwgMt250PVONRFNQ46gVknvTyPAUKX7KZyLLydAweU0f9EhdyGGE4DSC1OFozzaHqffYaWSetdkqCtK6V1dLJ47vrEHtgTq01TSzEE2qSnmmLQRO7oGi0vyqb1m6jGYUJVTkNrbC0e7r/VowgbN6odoKAHsB+PxKCO5CCGY3eM4MXqa+pW9KqEBLgtSLFLQlVKaKN1giMtzuSao8es2wuVKEeAY5bidHkLOjEHNu1fBT30ZTtyQiXSPT41EJMdqnN3mAcxnXRGXklNgZcT5pXi5TP/mwpeG2Gx82fPT31RHQEehFQCfQ9dqgI3COIzCcQQENwjZ+92n4W45AlVqYxxzHCRB4G0TDJAhiCQTOALNVhM1hgMVuhMUqss9mi4ioHEJTTxOMMMAGC8www6gawMnQCEEiySk2Z+o4uT9lsk1ehaZkTBuzAJ4kekjKh+LckHeEkUPTySOo3v0OQpFuJJQonF4XKq0OiBx53ZnAqxbwMIFTTRBUM0TVDAGnXzAigqMj1oD64BE0ho8hIg8eR5ZIcJvXC0dOLhw5FG/R2eslSJ6AZs0j0JT2FNS8BekzxRbNZvJEEydZknpJ9RTBzkj2BIsnR8Q7i03LwtUq2qSPfda86Ng+eUxVvfccxahVYXW74SkogqugkMWa1ZOOACEwnHZDR+yDQ+Cxxx7DLbfcAiLRV69ejd/97nf4/e9/j4MHD6K8vPyUjL399tuMXL/zzjsZaf6Pf/wDd9xxB7Zs2YLly5cP+SLDrReb//oIDrzwElzGPLhNk+G2zEau3QxLagFqgCfydgMLR2AosLI9yYRqfUTS24N5MvX9rDWAyZulDumcpEKJSFDCid59WOpzTH3TSJKkJiBzEhSKRW5QWb8EE6/1U1YDRKcZplw7LAUuRozT54nmQTESXPTfTAwEVFlBoi2CRGOQLSDHm4JINIegxk5dGqUxhD/Ria54M7pibUBOHmZcuQFTV2my7kOl4bYbQ91P//7MIXA2DbKGO9Y4/OoBdD+9EzbRApvoZkZNp02pGM4eEwSPFsuZCI20UslAPz7d2rGsah7tScKQSMOB/l/St6Xnu0zoCnWgtf0oqM8gdRKRM0HkrRB5CzPOotAdImeAyAsQwVO0H/ApNZXTvGBUUdGjqIgaBcguE4QCG2wlNjgpRnmeBc5cy1mTsT9zNVK/80RCgGR54w0BkPJWvI42P5TgqfHkY4oMX7QOvlg9fLF2WKpW4qLPX8nq7FBJ70+GQujD+/1w60b7A3s1Y8KzmUSOGc6myPYU0c7TOZrvkKAJUxVMqmpl7Gks5msKoam6B03Hu9HTFmE5V9haTwxirAW2QA3s4GE25kI0OSGabDAaLTAZzDAJIoynUTlJwUD3CytAq6SgJaHCJ6lsikUKS0SOO7ymZCjE3mNHkjTXifGzWZn0Z40FAsNtN8bimfo9dAR0BCYmAjqBPjHLTc/1BEZgPC9OEVl74FvPwGvsjW80gaEeMOuSkmDEeFgK9O6lIMKyHx3RBuZ5SIlksDRyXCPI+xzn5sLuyWGypnrSETgXEdAnExOjVIn0XrRoEe6///50hmfOnImrr74ad9999ykvccMNNzDjiI0bN6a/u/TSS+HxePDoo48O+dLDrRfv/fAVFIUHXhDlTEKaJCeyXEyS5oL97HrGEYHOSPZIgsmSEtmeCMTQ09AEzijC4DDD6LLB5LHB6LAmjbkEJg+vJx2BcwkBFtuxM8oIddqiRII0BMENQKp3xtsx53+uykopYbjtxrmE6UR6l7NtkEXYDKdu+I7XIfKgFsYplcjgihHjSYI885jIa47Y6DOUmERrKKHF8GQbkeup4wgzHB5tojvIpJDCcYhbRKgeLda0dbILrjIHIzE+jB5jo8VV//3ZQYD+R+SuWJJQ92v7xiDz9M1MdJ10hROVaxYMmbHhtBlD3ky/4IwiMJ7XvOjFiTynsT8o/B153iY31m9knOvzORVLu99v2DzCH4fsj0Fm++QWiENJnjtd6IMzWhD9bh5XVERUIKKqiPM8EgYeslGAahWh2gwQ7AaY7MZespyR5maYbNl7z5/N99GfpSMwGgT0PmU06Om/1RH4cCGgE+gfrvLW3/YDRmC8L04RPAd/9BLEMGD1upnMOJs0CDzbs8lFKsYTfWYbuVhk7GlCYeC1ja6ljeIDZhxr5+k6IXmN9ht6Dk2qSRqOTUSiEtTkXonIA5yja2TIwRjiPSEosiaRG+OiSAhxSGICkkGCbFCgmBSoFoA3C8wDnGKHUwxxiiUuGIwwmEywub1w5uaBpMzpvJ50BD6sCOiTifFf8vF4HFarFU888UQfCfavfOUr2L17N958881TXoK80r/2ta+xLZXuueceJvteW9uXmGCLS7EY21KJ6kVZWRl6enrgdDqHBKn9jXpEXqoBXCbYKl2aZ3mKKHdnp8Qx5EP0C3QEdATOGAKMJPTHmYd6uMYP3756qB1BRBzAgjs2ZPVcvT/JCqYP/KKzbZBFLzycukF1semZ3bCWeGEvz2WkOT9OZWDZ/00gjkQ7SVxrMtc0v+GMWpgqyjcLV0WfTX0/s+9MgjZHOoMGAB94hdMz8KFEgJToqD8hMj1W2wP/gWbwMofyu9aDz8IwcThtxocS4HHy0hNhzetsQ0V1nxHrAY1cZ8R68ph9DiWYxBZT2UopazGFwd5460yMS5Md1JS3knsygFRIgl5WIQscZLMIWEXAnpSU95hg9FpgzLXA7DGB4ooLtFaXhdrJ2cZJf56OwNlEQO9Tziba+rN0BCY2AjqBPrHLT8/9BENgvC9OTTA49ezqCOgInCEE9MnEGQJ2DG/b1NSEkpISbN26FatWrUrf+Uc/+hEefvhhHDly5JSnGY1GPPTQQ/jEJz6R/u6vf/0rPv3pT/chylNffv/738cPfvCDU+6TLYHOwnaoKniDrtYxhkWv30pH4ANFIBGLghdECKKYVT70/iQrmD7Qi86GQRa94GiNsj5QkPSH6wjoCJwRBORwHII1O8N1vT85I0Uw5jfV17zGHFL9hjoCOgJnAAG9TzkDoOq31BE4RxHQCfRztGD11xp/COiLU+OvTPQc6QjoCAyMgD6ZGP81I0Wgb9u2DStXrkxn+K677sIjjzyCw4cPn/ISRKATuX7TTTelv/vLX/6C2267DdGoFr4iM+lkx/ivB3oOdQTGOwJ6fzLeSwg4GwZZhMJojbLGP5J6DnUEdATOJAJ6f3Im0R2be+trXmODo34XHQEdgTOPgN6nnHmM9SfoCJwrCOgE+rlSkvp7jHsE9MWpcV9EegZ1BHQEkgjok4nxXxXO1gJVJhJ6vRj/9ULPoY7AeENAbzfGW4mcmp+zYZBFT9WNssZ/XdBzqCMwnhHQ+5PxXDpa3vQ1r/FfRnoOdQR0BDQE9D5Frwk6AjoC2SKgE+jZIqVfpyMwSgT0xalRAqj/XEdAR+CsIaBPJs4a1KN6EEkkLl68GPfdd1/6PrNmzcJVV12Fu++++5R733DDDQgEAnjxxRfT31122WVwu9149NFHh8yLXi+GhEi/QEdAR6AfAnq7Mf6rxAdhkKUvXI7/eqHnUEdgvCGg9yfjrUROzY++5jX+y0jPoY6AjoCGgN6n6DVBR0BHIFsEdAI9W6T063QERomAvjg1SgD1n+sI6AicNQT0ycRZg3pUD3rsscdwyy234Le//S2TcX/ggQfw4IMP4sCBA6ioqMCtt97K4qSnyHSSe1+3bh1I5p1I9meeeQa33347tmzZAiLjh0p6vRgKIf17HQEdgf4I6O3GxKgTZ9sgS1+4nBj1Qs+ljsB4QkDvT8ZTaQycF33Na/yXkZ5DHQEdAQ0BvU/Ra4KOgI5AtgjoBHq2SOnX6QiMAQL64tQYgKjfQkdAR+CMI6BPJs44xGP2API+/8lPfoLm5mbMmTMH99xzDyPJKa1fvx6TJk3CQw89lH7ek08+yUjzEydOoKqqipHp1157bVb50etFVjDpF+kI6AhkIKC3GxOjOpxtgyx94XJi1As9lzoC4wkBvT8ZT6UxeF70Na+JUU56LnUEPuwI6H3Kh70G6O+vI5A9AjqBnj1W+pU6AqNGQF+cGjWE+g10BHQEzgIC+mTiLIA8AR+h14sJWGh6lnUEPmAE9HbjAy6AYTz+bBpk6QT6MApGv1RHQEeAIaD3JxOjIuhrXhOjnPRc6gh82BHQ+5QPew3Q319HIHsEdAI9e6z0K3UExgSB/8/eeUBXVWxh+CdACC1Eei8q0qUpVZpgF8GKihRBpVhQsT9RsIDKU/AhHRUEFLCiWECRJl0UpRfpRTqhBAIpb/2DN4YUcu/NLaf8sxYLJefM7P3tyewzs2f2aHEqIBhViQiIQBAJaDIRRLg2rlr9wsbGk+giECYCGjfCBN4Gzapv2MBIElEELERAY4aFjJGFKFrzso+tJKkIuJWAfIpbLS+9RcB3Agqg+85Mb4iArQjoo8BW5pKwImAJAho3LGEGywmhfmE5k0ggEbA8AY0bljdR2ARU3wgbejUsArYkoDHDlmYLidDqGyHBrEZEwFEENG44ypxSRgSCSkAB9KDiVeUiEH4C+igIvw0kgQjYjYDGDbtZLDTyql+EhrNaEQEnEdC44SRrBlYX9Y3A8lRtIuB0AhoznG5h//VT3/Cfnd4UAbcS0LjhVstLbxHwnYAC6L4z0xsiYCsC+iiwlbkkrAhYgoDGDUuYwXJCqF9YziQSSAQsT0DjhuVNFDYB1TfChl4Ni4AtCWjMsKXZQiK0+kZIMKsREXAUAY0bjjKnlBGBoBJQAD2oeFW5CISfgD4Kwm8DSSACdiOgccNuFguNvOoXoeGsVkTASQQ0bjjJmoHVRX0jsDxVmwg4nYDGDKdb2H/91Df8Z6c3RcCtBDRuuNXy0lsEfCegALrvzPSGCNiKgD4KbGUuCSsCliCgccMSZrCcEOoXljOJBBIByxPQuGF5E4VNQPWNsKFXwyJgSwIaM2xptpAIrb4REsxqRAQcRUDjhqPMKWVEIKgEFEAPKl5VLgLhJxAbG4uYmBjs3LkT0dHR4RdIEoiACFieACcT5cqVw9GjR1GoUCHLyysBQ0NA/iQ0nNWKCDiJgPyJk6wZWF3kUwLLU7WJgNMJyJ843cL+6yd/4j87vSkCbiUgn+JWy0tvEfCdgALovjPTGyJgKwK7du0ygTAVERABEfCVADfelC1b1tfX9LxDCcifONSwUksEQkBA/iQEkG3WhHyKzQwmcUXAIgTkTyxiCAuJIX9iIWNIFBGwGQH5FJsZTOKKQBgIKIAeBuhqUgRCSSApKQl79uxBwYIFkSNHjlA2bau2PLsPdVLfO7OJl3ecUj9lJ2bJyck4fvw4SpcujYiICN+V1RuOJGAnf2Kn3zerdBYx880S4uUdL/kT7zi58SlffYp+53zvJWLmGzPx8o0Xnw4lM/kT3+3jljd89SdO5BLK30Un8ruQTmIbXIuHi698SnDtqtpFwEkEFEB3kjWliwiIgN8EdP+Nb+jEyzdengUmpkNnijldp+A7P70hAr4Q0BjlC61zz4qZb8zEyzdeeloEsktAv3O+ExQz35iJl2+89O3gOy+9IQLBIqDxK1hkNUcKHlnNQYPNVvWLgAgEhoAC6IHhqFpEQARsTkATDt8MKF6+8dICk++89IYIZIeAxijf6YmZb8zEyzdeeloEsktAv3O+ExQz35iJl2+8NL/xnZfeEIFgEdD4FSyyCqAHj+y5mtV3g01Y9YuACGSXgALo2SWo90VABBxBQB9tvplRvHzjpYmB77z0hghkh4DGKN/piZlvzMTLN156WgSyS0C/c74TFDPfmImXb7w0v/Gdl94QgWAR0PgVLLIK8AaP7Lma1XeDTVj1i4AIZJeAAujZJaj3RUAEHEEgPj4egwYNwvPPP488efI4QqdgKiFevtMVM9+Z6Q0R8JeAft98JydmvjETL9946WkRyC4B/c75TlDMfGMmXr7x4tNi5jszvSECwSCg38VgUD1Xp9gGj634BpetahcBEQgMAQXQA8NRtYiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACNicgALoNjegxBcBERABERABERABERABERABERABERABERABERABERABERABERABERABEQgMAQXQA8NRtYiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACNicgALoNjegxBcBERABERABERABERABERABERABERABERABERABERABERABERABERABEQgMAQXQA8NRtYiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACNicgALoNjegxBcBEfCeQP/+/TFgwIDzXihRogT+/vtv829du3bFhAkTzvt5w4YNsWTJEu8bcdiTu3fvxrPPPovvv/8ep06dwmWXXYb3338f9evXN5omJycbpmPGjMGRI0dAXsOHD0eNGjUcRsJ7dbJipn7mPUs9KQJZEahYsSK2b9+e7rHevXubsSg+Ph5PPfUUPvnkEzOGtW7dGiNGjEDZsmWzqtqRP8+KV8uWLTFv3rzzdO/QoQOmTJniSB7eKJWQkAB+P0yePNl8L5QqVcp8L7z44ouIiIiQL/QGop4RAS8JePP7pu+o9DCPHz+Ofv364csvv8T+/ftRt25dvPvuu7jyyis1RmXQ97Li5fY+Nn/+fAwePBgrVqzA3r17Tb9q3759Cklv5n+cFz722GP4+uuvzXu33HILhg0bhpiYGC9HAz0mAiIQiN/FjL79ub7zxhtvuB5wVny/+OILjB492oyFhw4dwu+//446deqcx01zzYy7USDYal7q+l9RARAByxBQAN0yppAgIiACwSbABfDPPvsMP/30U0pTOXPmRLFixcz/c7Fk3759+PDDD1N+HhkZicKFCwdbNEvWz4UPLsC1atUKvXr1QvHixfHXX3+Bk7BLLrnEyPzmm2/i9ddfx/jx401w/bXXXgM/ljds2ICCBQtaUq9gCuUNM/WzYFpAdbuNwIEDB5CYmJii9urVq3HNNddgzpw54KSbY9c333xjxqgiRYqgb9++OHz4sFkI4fjvtpIVLzLjWP7KK6+koMmbNy8KFSrkNlQp+tLHDRkyxGyw4+awX3/9Fffff7/xd3369JEvdG3PkOLBIODN75u+o9KT50Yn+r+RI0eidOnSmDRpkhm31q5dizJlyuh7PQ2yrHi5vY9x4/TChQtRr1493H777ekC6N7M/2644Qbs2rXLbLJmeeihh8wckt9kKiIgAt4RCMTvIn/vunfvjgcffDCl0QIFCoB/3F6y4jtx4kRs3brV+FXyyyiArrlmxr0oEGw1L3X7b6j0FwHrEFAA3Tq2kCQiIAJBJsAA+ldffYWVK1dm2BIXS44ePWqeUQGee+45s3iyYMGCDHHw9AEnE48//rg5pc7CHbg81c+FlR49ergOY1bMCET9zHXdQgqHkADHoxkzZmDTpk04duyY2SDFxQ8ulrPs2bMH5cqVw3fffYfrrrsuhJJZs6nUvHLkyGE2HfBkxdChQ60pcBikuvnmm41fY/YVT2FAIV++fKZvyReGwShq0rEEsvp903dUetMzuwo3rU6fPh033XRTygMcy8nz1Vdf1fd6KmxZ8eLmKH2r/wuM3wapT6B74/PWrVuH6tWrmyxuzE7Gwv9u3Lgx1q9fjypVqjh2DJNiIhAsAv78LlIWBtD5vc8/KpkTSMs39ZPbtm1DpUqV0gXQY2NjNdf0olP5w5bVal7qBVw9IgIiEBICCqCHBLMaEQERsAIBBtCZjo5KT+rKAAAgAElEQVQn6fLkyWMm9AMHDsTFF19sxONiCYPnPHXO9HItWrQwp6t58tqNhQsfDDDx9ABT+vIEC9Mie3Yvb9myxZxE/+2338xJdU9p166d4Zc2Hb4bGGbFTP3MDb1AOoaLwJkzZ0yQ4Mknn8QLL7yAn3/+2aRs54nziy66KEWs2rVrm1Skaa/0CJfc4Wo3LS/PQsWaNWtMUJhBY54ge/nll12ZUcRjF6a4HDVqFGbNmmVO5//xxx+49tprzSaDe+65B/KF4erBateJBLL6fdN3VHqrMx15dHS0ybBFn+cpDFZyvvPBBx/oez0Vtqx4zZ07V3PCVLzSBj688Xnsc/wW48b01IXzQ2ZGYBYXFREQAd8I+PO7yBYYQOchB373cxPxnXfeiaefftqsean8S8CfIK/mmt71IH/Yal7qHVs9JQIiEBoCCqCHhrNaEQERsAABphGKi4szC+BM1c4TBtwFz2ABU/tOnTrVpLKqUKGCSdXEuwR5FyNT/XIBym0lKirKqMwFEE60li1bZnYu8x6ozp07Y9GiRWjatCl45zeDVp7CFH28k3jmzJluQ4asmBGI+pnruoUUDhGBadOm4d5778WOHTvMmPTxxx+bRVouGqUuDH7yFAHHMjeXtLzIYuzYsYZNyZIlTTrg559/Hpdeeil+/PFH16LiZgJuyGBmFab955UB3FxHNizyha7tGlI8CASy+n3Td1TG0Js0aWKCIfR73Pz0ySefmG/1ypUrm6up9L1+PrcL8eI1VPpW/5dX2sCHNz6PG9R5dc7GjRvPA885OL/LPP4zCEOIqhQBxxLw53eRMLhphdcxcDMx13P4+8cDD+PGjXMsK38U8yfIq7mmd6T9Yat5qXds9ZQIiEBoCCiAHhrOakUERMCCBE6ePGlOZDzzzDMmSJy27N271wTTp0yZgttuu82CGgRXJC7EXXHFFSY44CmPPfYYli9fjsWLF6cEDZgSuVSpUinP8IT6zp078cMPPwRXQAvWnhWzjER2ez+zoBklkk0JMGMGfwc992tmtqjBO9I59vNUsZtLWl4ZseAGMvoB/s3FNzcWfgPwpA4z2PAOdF4Dw81k77zzDrp06SJf6MZOIZ2DRiCr3zd9R2WM/q+//kK3bt0wf/58s9GH4zWDlcwSxSAJA+j6Xv+X3YV48d54zQn/JZBZ0O5C/YkBdGYi42aE1IUbOngXM6+8UhEBEfCNgD+/ixm18Pnnn+OOO+7AwYMHzSESlXME/Anyaq7pXe/xh63mpd6x1VMiIAKhIaAAemg4qxUREAGLEmAghafrRo4cmaGEnOg/8MADKXd8W1SNoIjFzQPkk3p3Mjnx5D5PnXuTwi8oglm40qyYZSa6m/uZhc0p0WxEgFkveB3HF198YU5VsCitXuYGzIhXRk/zNCgzsKS+R95G3SIgojLdJRf7H3744ZT66AcnTZpkstjIFwYEsyoRAUMgq983fUdduKNwc/CxY8fMxtYOHTrgxIkTGDZsmFK4Z4ItI17ffvut5oSpCPiTNlop3DWgi0DgCfjzu5iRFFzHKVu2LJYsWWKuNFQ5R8CfIK/mmt71Hn/Yal7qHVs9JQIiEBoCCqCHhrNaEQERsCABpvXlKUSmHH/ppZfSSXjo0CFz7/eYMWNMGkS3FaZC5knyBQsWpKj+xBNPYOnSpebEHQMrTJPMf+MpfhbercU745nqtkePHm5DZtJHX4hZRkDc3s9c10mkcFAI9O/f36Rk5+9frly5TBuxsbEoVqyYCXTedddd5t+Y8YGLRt999x14AtutJSNeGbFgGvdatWph3rx5aN68uStx8XQOA+a9evVK0X/QoEEmLTLT08oXurJbSOkgEcjq903fUd6BP3LkiLmO46233gIzQ+l7/cLcUvPivDBtcfO3etrAhzc+b926dahevbqZMzZo0MDg5H83atTIbDyrUqWKdx1ZT4mACKQQ8Od3MSN8M2bMQNu2bc2Ve+XLlxfhfwj4E+TVXNO77uMPW81LvWOrp0RABEJDQAH00HBWKyIgAhYg8NRTT5nJAicK+/fvNwviDAqsWrXKpK9iQOH22283pza2bdtm7jzlXbpcBChYsKAFNAitCEzVzjsCBwwYYIJPvDOLi3DcUNCxY0cjDAPlnkACT1EzZd/cuXNNyj4xS8+MJ4HUz0Lbj9Wa8wkkJSWZQME999yDN9544zyFGfTkQhHv4ixcuDDoB7gQzpTkTHPrxpIZL6a0nTx5Mm688UYULVoUTGPbt29f5M2b11zd4VZeXbt2xU8//WQ2aDCF+++//2423jFdMn2gfKEbf4ukc7AIZPX7pu+ojMnPnDnTbOZhYHLz5s3m2glmD/nll1+QO3dufa+nwXYhXtxg7fZvdf6esR+x1K1b11xZ0qpVK/MdxXm0N/O/G264wVwbQN/JQr/JTF2ea3aCNYaoXhFwEoHs/i7y2j2eNOfvb6FChcz3PA8/8Hqm6dOnOwmVX7pkxffw4cNmPZBj2U033WSudqSfLVmypPnDorlmxuizy1bzUr+6tF4SAREIEgEF0IMEVtWKgAhYj8Ddd99t7gbkfU88lchd8K+++qrZIX/q1Cm0b9/eLIwfPXrUBNE50eDPmU7SrYWBp+effx6bNm0yASreFc8guqdwsY4Bdi6O8PQG04ANHz4cNWvWdCsyE6zLjJn6mWu7hRQPIoFZs2aZ0+TcuMM7X1OX06dPm0AC76jj71/r1q0xYsQIV4/rmfHi6f377rsPPHXORQ/6Pi4Wvfzyy2bR3K3l+PHj6NevH7788kuz+Y4nOblZg5lrIiMjDRb5Qrf2DukdaAJZ/b7pOypj4tOmTTPfnrt27TLjNTcEv/766yZgojEqPbML8VIfg9kMzXlw2tKlSxezIdEbn8fA02OPPYavv/7aVHPLLbfgvffeQ0xMTKCHDdUnAo4lkN3fxd9++w29e/c2mR+4OYibWLgmxuyB+fLlcyw3bxXLii/Hu/vvvz9ddZwbcaMVi+aaGdPOLlvNS73txXpOBEQgFAQUQA8FZbUhAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiJgeQIKoFveRBJQBERABERABERABERABERABERABERABERABERABERABERABERABERABEQgFAQUQA8FZbUhAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiJgeQIKoFveRBJQBERABC5MoGXLlqhTpw6GDh0qVCIgAiIgAiKQLQLyKdnCp5dFQAREQAT+ISB/oq4gAiIgAiIQCALyJ4GgqDpEQAREQAT8IaAAuj/U9I4IiIAIWIiAJhMWMoZEEQEREAGbE5BPsbkBJb4IiIAIWISA/IlFDCExREAERMDmBORPbG5AiS8CIiACNiagALqNjSfRRUAERIAEwjGZOHPmDCIjI2UAERABERABhxGQT3GYQaWOCIiACISJgPxJmMCrWREQARFwGAH5E4cZVOqIgAiIgI0IKIBuI2NJVBEQARHIiAAnE5dffjmioqIwbtw4E9ju2bMn+vfvbx7fsWMHHn30UcyePRsRERG4/vrrMWzYMJQoUcL8vGvXrjh69Ci++uqrlOoff/xxrFy5EnPnzjX/xjZq1qxp6v7oo49Qo0YNzJs3TwYRAREQARFwGAH5FIcZVOqIgAiIQJgIyJ+ECbyaFQEREAGHEZA/cZhBpY4IiIAI2IiAAug2MpZEFQEREIGMCHAy8fvvv+PJJ5/Evffei8WLF5ug+MyZM9GmTRvUr18f+fPnN3ekJyQkoHfv3ihYsGBKcNzbAPqKFSvQq1cvdO/eHcnJyahataoMIgIiIAIi4DAC8ikOM6jUEQEREIEwEZA/CRN4NSsCIiACDiMgf+Iwg0odERABEbARAQXQbWQsiSoCIiACmQXQExMTsWDBgpQfN2jQAFdffTVat26NG264AVu3bkW5cuXMz9euXWtOkC9btgxXXnml1yfQY2NjTaBeRQREQAREwLkEuEAln+Jc+0ozERABEQgVAfmTUJFWOyIgAiLgbALyJ862r7QTAREQASsTUADdytaRbCIgAiLgBQFOJhgQHz58eMrT7dq1Q5EiRVCnTh0MGTLEBNBTl4suugjvvvsuOnfu7HUAvXLlyhg7dqwXEukRERABERABuxKQT7Gr5SS3CIiACFiLgPyJtewhaURABETArgTkT+xqOcktAiIgAvYnoAC6/W0oDURABFxOgJMJBsqZot1T2rdvj5iYGNStW9cEyrds2XIeJf6M96B36tQJ3bp1w6FDhzB9+vSUZx5++GGsWbPmvDvQ07bhcuxSXwREQAQcSUA+xZFmlVIiIAIiEHIC8ichR64GRUAERMCRBORPHGlWKSUCIiACtiCgALotzCQhRUAERCBzAheaTHTs2DHTFO7Lly/HFVdcgWeffRZz5swxKd09pWnTpsidO7cC6Op4IiACIuAyAvIpLjO41BUBERCBIBGQPwkSWFUrAiIgAi4jIH/iMoNLXREQARGwEAEF0C1kDIkiAiIgAv4QuNBk4sMPP0T9+vVRoEABc0I9ISEBvXv3Nv8/d+5c09zMmTNNkH38+PFo3LgxJk2aZJ7l6XXPMxm14Y+sekcEREAERMDaBORTrG0fSScCIiACdiEgf2IXS0lOERABEbA2AfkTa9tH0omACIiAkwkogO5k60o3ERABVxC40GSCQfEdO3bg0UcfxezZsxEREYHrr7/epG8vUaJECp+XX34Zo0ePxunTp01K97Nnz2LVqlUKoLuiB0lJERABEfiXgHyKeoMIiIAIiEAgCMifBIKi6hABERABEZA/UR8QAREQAREIFwEF0MNFXu2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhYioAC6JYyh4QRAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREIFwEF0MNFXu2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhYioAC6JYyh4QRAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREIFwEF0MNFXu2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhYioAC6JYyh4QRAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREIFwEF0MNFXu2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhYioAC6JYyh4QRAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREIFwEF0MNFXu2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhYioAC6JYyh4QRAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREIFwEF0MNFXu2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhYioAC6JYyh4QRAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREIFwEF0MNFXu2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhYioAC6JYyh4QRARGwO4GlS5fijTfewIoVK7Bv3z7ExMTg4osvRpMmTfD2228HTb2BAweievXqaN++fdDayKriihUrombNmpgxY0ZWj+rnIiACIiACQSSwZMkS43N++eUXHDp0CIULF8ZVV12Fvn37onHjxj61vHbtWkybNg1du3YFx3l/Ct/97LPPcOLECX9e1zsiIAIiIAIBIjB+/Hjcf//9yJMnDzZs2IAKFSqcV3PLli1x8OBBrF69OkAthqea/v37Y8CAAThw4ACKFi0aHiHUqgiIgAg4mIDHn3hUpF/h+le1atVw7bXXonv37ihevLjtCTjFL9reEFJABERABMJEQAH0MIFXsyIgAs4j8O233+KWW24BP7AffPBBlCpVCnv37sWvv/6KKVOmYNeuXUFTukCBArjjjjvASUy4igLo4SKvdkVABETgXwLDhg3D448/jgYNGqB3794mOLJjxw4MHz4cy5Ytw7vvvotHHnnEa2QMfN95552YM2eO8W/+FAXQ/aGmd0RABEQg8ARSBzzuu+8+TJw48bxGnBIoUAA98H1HNYqACIhAagIef/Lhhx+iatWqOHv2LPbv32828PLfcubMialTp6JNmza2BucUv2hrI0h4ERABEQgjAQXQwwhfTYuACDiLQIsWLbB7926sX78euXLlOk+5pKQkREREBE1htwTQk5OTcfr0aeTNmzdoLFWxCIiACNiVwMKFC9G8eXPceOON+PLLL8/zRQkJCbj11lvx3XffYf78+WjatKlXatopgB4XF4d8+fJ5pZceEgEREAE3EvAEPK6//nrMmjULv/32G2rXrp2CwimBglAF0OV33PhbJJ1FQARIwONPli9fjiuuuOI8KNy8y+xXR48exaZNm1CiRAnbQguVXzx16pTWuWzbSyS4CIiAkwkogO5k60o3ERCBkBJg+nIGspk6N6vCnbhDhw7Fn3/+iRw5cphABlO/161bN+VVz4k9poV/7LHHTL0MDHTo0AFvvfVWSpCA76ctDObPnTvX/PPff/+Nl19+GTwhzx3BZcqUMal4//Of/6QEV7Zt24ZKlSqZehnsHzlypElB37BhQ4wZM8b8rF+/fvjoo49w8uRJXH311Rg9evR5Kbk8J9CZqovtbdy4EaVLlzYnISl/6nLs2DG88sor+Pzzz82mg2LFipkTjq+//jry58+f8ih1e/jhh01qeJ6a/Ouvv/C///0PPXv2zAqxfi4CIiACriNw880344cffgDH9LJly6bTf+fOnWY8v+GGG/DNN9+Yn3PTF9Pc/vzzz2aRiwtcXCgaO3YsPvnkE5PqN23hqRL6EZYPPvjAjM9MBUwfRf/Da0WYvtFTvPVnfJ4bpeiD6HtYZ1RUFFq3bm38E69E8RTPYtaIESPw3HPPYeXKlSYLDDO+qIiACIiACGRMwBPw4JjPOUW9evWM30g7tnpSuHPjKn0Ex1bPNzuvjOI3O1P1svD/f//9d2zdujXdhmHOJXgqkYF6f8Z4+iJeP8L66Z84x6Bf4ryGcxP6sEsuuQSDBw8GNwV4iieAznZfffVV/PTTT2bO1bZtWwwZMsTMPVIXX+ZmixcvNjLxb85R+LeKCIiACLiNwIUC6GTx6aef4q677jI+5KWXXjJ4mJ2R60A8pc4NSJwvPP/88+a51IX+hu99//33Zl2KV3HwWkRm1PIE431dU6pfv75Zc2Nwv0aNGnjvvffMetd///tfcD7BKz+YwYtzkEsvvTSdX+T85Omnn8Yff/xhrsfq1q0b6Gt40t5Tzpw5Y+YskyZNMj4xOjoanJ/x31L7Hc/aGeugj1q3bp1ZN6N8KiIgAiIgAtYioAC6tewhaURABGxMgGnbx40bh0cffRQdO3Y0C1K5c+dOpxEDCy+++KJZ/LntttvAj2wu+jCYzvS6vMuchQEHBi9KliyJHj164Morr8SiRYvw2muvmQUiT/CDgXUGtFu1amUWklj4oc56GDznJICn31944QWzwMRFHtZxzz33mNRaLJ4AOlP9Xn755aY9BlK4OFSoUCEzsaAuDHJv374dTz31lGnv66+/TtGPkwCecOQEghMJyj158mTzh/rxHRZOlLhhgCntKRPbW7NmjZlUcVLjWeDis1zoYsC/SJEiJkDCOnmPFic8KiIgAiIgAv8SSExMNGN/rVq1LriRi+M5AyNcdOLfPB3CRSmOsZUrVzZXj3Bspz9j4IR/c6zmghX9Ggt9CReBBg0aZH5Gf8JUwLxvneM//+ZpFNbniz/jsw899JA50cKNV9dccw0OHz5sFtqOHDliFqw8i2YMoK9atcpsunrmmWdMEIO+jifwVURABERABDImkDrgwXlFnz59MHv2bDOXYEl90o4bmrjhij9ngKNZs2ZmvsIg9mWXXWbmFLzzlj6jXbt2+PHHH89L1cvgNoMj3PzK+ZGvYzx9FP0Tx3huCuMVJTNmzDBBFWZHof/hPIU+ggH2LVu2mM27LJ4AOuc2DMwwhTDnG5wrUXZuUPbM03yZm3388cdmbsK5EudYnPvwrl8VERABEXAbgawC6Dx4wTGafoVrPLwOiutYnIvwOin+jJuzWE/qzbkMnnPti5uvPOtFnFvMnDnTBLCZLt7XNSX6Ao7dXJPiGtOzzz6LgwcPokuXLsZ3cC0vNjYWTz75pJlrcGOu56AK5ac/or/jfKlKlSpmExd9Gw97MBDPwoMoN910ExYsWGD8FgP+XDujz6Su3DzgyaTItTOuA/L/uTbIDc6c01BvFREQAREQAWsRUADdWvaQNCIgAjYmwI96nsDgbloWLsrwA5gnHThB4Ol0nv7jCbpevXqZD25POXHihAk0cOGfJyBYGECfMGGCOdmX+gQ3F3l4epzteFLwZpbCnSe1GcDmglH58uVT2nv77bfN5IH/zkC7J4DOFI48qeFJN8+2uROWp/qmT5+e8v4TTzxhTtBzksGADQsnAdzNywWs1KkguajERSoGZXg6kbtqKT//LXWqL55G5z3uTC/MxToWTlo42eDu3YsuusjGvUOii4AIiEBwCfB0BjcZ3X333WbzVWaFP6ef4fMMfHPMZ8aQtKfxPO9nlsKdm6wYqOBmKi4ieQr9HP3Z7bffbvyPL/6MG8IaN24M+iguYHkKN1wx4MEAzJtvvmn+mYtZ8+bNOy/wE1zCql0EREAE7E8gdcCDm1gZ4OZJOm7i5Xd36gA6gxUMdvDkHIMWnjJt2jRzep2n9Bh0YBCZAW5mC/GM+3yWAQrOF/bs2WM2w/ozxjPgwA22LNxQxY20kZGR2Lx5c0qwnJur6tSpc16g3hNA55zlnXfeSZGdAXBudObpQP7tz9yMmVcyys5i/94hDURABETAewJZBdBZE+cm9DFr1641/oYBY/qb1Fcecr1sxYoV5oAF16GY0XDixIlm42zqjFapJfN1TYly0G94sh1ybYtrd/QdnAt5guWe9S9uFuOm5NRzDr7DdTFP4abf999/36xVca2NmwE4t+K6Fg/KeAr9GNcFecqd64AsXDujvuTCOY6KCIiACIiAdQkogG5d20gyERABmxLgBzJPavBvplHnzlZ+IPM03ldffWUWmvjf/FhPXXh6j7tyGdRg8QTQ+T4XnTzFE+xmqifuVmXJLIDOxSyeGPziiy/Oa4vBEp7i9nzEe+rk6RIG6D2FdyNed911Jl07JwiewgUznrzg6T+e+vNMAgoWLGj+LXXxTKy4E5cnHfnn+PHjZpKUuvCkI4PxXKDzBEg4keGdvWnlt2nXkNgiIAIiEDQC3gbQGfRg8IPjPk+Sc5GKY3xmJbMAOlMq8q511sXsJKkL/52LUcyC4os/o0+jD+J7XGxLXXjykSc7uPmKhUEeLm4xoKIiAiIgAiLgHYG0AQ9uuLr33nvNwj/9Q+oAOgPgDJ7zCqjUm6x4Mp3f/ExL67k2gxtzmamE4zc3vzIrSrly5cx3P/0Ei69jPOcrDL6nLty4xXkVT897Ck/x8WQgM2cxFS+LJ4CeOgDPf2ewnwEcnjpkhhX+8XVulnoDsXfU9ZQIiIAIOI+ANwF0nubmWhYzlXCDLcdoZj5JXXhVR+/evVOC7BznGbzmJq7Miq9rSgxscwOVp9C/8CR5ZutfzPZIH+eZc3Bew+xdqQvX+riRmMF+ruXxj+faxLTXLNIfpj4sQz/GuY7nehPn9Q5pJAIiIALOIaAAunNsKU1EQAQsSIBpp7j4xLv2GBjmgpIn6J2RuNxxywUnFgbQeYqDdaQuDDRz4Ycnw1kvS2YBdJ6C50JRZoUpD5nK0BNAT51qne94JgW8v4qnwz0lo8kSJwGcFDF9Y+rCexV5opybB5jekc9w929mhfdAcScvCycenExxQU5FBERABEQgcwK+pnDnwhE3WXn8QGY1ZxZA5+m9Tp06mTSFXMRKXR544AGTQcXjv7z1Z56rUDKThRlc/vrrL/NjBnl4VyEzqaiIgAiIgAh4RyDtNzyD4cwIxaAw72Dl1RncvMt0tWnH8tQt8H5Yppz1fPfzFB03544aNcpssmVGKaayTZ1Zytcx3iNH6nY998YylXvqwjlD6lS6ngA6T/gxbW/qwpOIzHby5ZdfmrvcfZmbcU7EtMQqIiACIuB2AlkF0FOncOfVG2nnC2n5zZ8/31wVwjWszp07p6wJZcTZ1zWl1P6B9fmy/sU5B9PKb9q06TxRPNeUMNMKNwXQfzJVfWaFV6XwoA0LfRl9ZuosXm7vT9JfBERABKxKQAF0q1pGcomACDiGABekYmJiTBCZAWSmVWdAgvcwZVQ8ac0DcQK9VKlS5o5xLg5lVLi7l398mUCwnswC6N6cQOeCFSdTTH+YUeFdh5xQsKRdDHNMp5AiIiACIhAEAjwpwU1LHNMZHE9bGEjg+Ep/xBOBHLODdQKd13nw6g4Wb/0ZT4EwAwmD8jxNmLbw31KnU8wouBIErKpSBERABBxDIKNveC74c+Gf97gyQOwZW7M6gc60u6mvDOG9tvx2Z6p2ZibhKXFe75QzZ07DLxBjvK8B9KxOoDMDiy9zM87hePWWigiIgAi4nUBWAXTPdR/MnEifwLvL6QdSpzdPzZAnwjk38eYEenbXlHxZ/2IA3ZsT6Dzlzk1lnItlVKgbdWTJzJe5vU9JfxEQARGwIgEF0K1oFckkAiJgSwIMFDBgnbZ47vtjkIInHLhblgHtZ5555oJ6ZnUHeupTf0yL1aZNm5T70z0V88EPNV0AACAASURBVKQHT37wFMmF7hD3ZQLBujMLoGd2BzoZMKUj70Cn7kzRS5l4cuVCRQF0W/4qSGgREIEwEVi4cKFJD8hTfzxZ5wlaUByeUOddf/QJ9B9NmjQx99Uy0M3T6Ny8lFFhCkPe95f6FCGf89yBzqAL7wT0FAbpeTKRWUt4Sp3FW39G+Xk6hXe033XXXRekmDrNcJhwq1kREAERsB2BzAIe1157rblvlmlmme2K3+meq5x4hzjvEvcUT2YSpt3lKXVP4elz3u9KH8N5yZNPPnne1VCBGON9DaBndge6J+Uu50C+zM0UQLddl5fAIiACQSJwoQA614X4Tc+05zy5zWtAeNc3x9usTl177kDn1YCegHNaFbK7puTL+hfnHPPmzTPznQvdgc7skUzjzrUvbii7UFEAPUidUtWKgAiIQBAIKIAeBKiqUgREwJ0EeNKbJ/54GoO7a3lX68qVK/H222+bO795CoMn5wYNGoSXXnrJnPq7/vrrTWCbd9cuW7YM+fPnB9NbeQIOPNXBNINMhXjllVeaOl577TVzSoTBDE/hRz3TLvIePwbxPbtbGdTn7lymfH/sscfMBISLYpww8H0udFFmXyYQbDOzADrTxTNgw7SJlIPBE04keKLQs2GAp8+Zmoupd7moRW5kxUkWF+p4f6FnwqEAujt/l6S1CIiA/wSGDRtmrvho0KABHnnkEZQvX96Mr7wKg/eHM83go48+ahpgsISLW8WLF8dzzz1nAt/0R7ynkKfy6Eu2bt0Kpk5n8J3jc1RUlNn8xI1b9GcvvPCCSeXOUxeHDh0yPozj+/Lly80ima/+jP6OvoOpFrkZgH6RvuyXX34xPpTBGRYF0P3vI3pTBETAvQQyC3hwM1X9+vXBlO5MK8sAOv+bGUt+/vln/Oc//0HTpk3x559/4uWXXzbj++LFi8/LFsKsW/z+p3/gZqoNGzaYgEnqkt0x3tcAOjN+cUMW50688oNXV11yySVm3hUZGWlE82VupgC6e393pLkIiMD5BDz+5MMPPzTrX1wL2r9/v9lExX/juhDHTN4TzjJnzhzjU1q0aGE21/J6jcOHD5t1LJ7wZgYUFqZL59oXN/9ynsHvf27c5clubsxiW9ldU/Jl/YtzDvpEZsLiCXr6Na6lvfvuu2ZeMmLECCM35eVaIOdbTOnOuRjT0dMfUndmo7z11lvNswqg67dJBERABOxDQAF0+9hKkoqACFicAFNUcVcqgwZc7I+PjzeLSJwg8EO7WrVqKRrwOX5wr1ixwjzHIDknCUwhyBOBLJxUcMLBxSkGv/khzkB4hw4dwLvKGVTwFAZBGGzg4ldcXJxpk/eXszANI9Nm8RQhP94ZEGHwg8F7ysV6fJlAsM7MAug1a9bE/fffbxbWuNOY6bcoe+pTK3yfE5433njDTJIYnKFeDPLwtArTRZYoUcLIrgC6xTu9xBMBEbAkAZ584OYtLmAxqF24cGETKH/qqafMpqrUhYtWHLMZIOFmL/oj3tHHDVaeNOr0V/zDQDwXh7goRh/F8v777+N///sfeA8gx3IuMjHLSPXq1VOa8cWf8SXWzwA+F6u4wYq+hIEb+hMGeFgUQLdk15NQIiACFidwoRODHTt2xMcff5wSQKcq3HjLjbFTpkzBnj17TLYSbqjiOM8rqtIWTx0cs7nxKaOSnTHe1wA651qUn8ELzit41Qk3knHjWOriy9xMKdwt3sklngiIQEgIePyJpzFuSqJf4LrXddddZzKU8OR56sJNWDw9zrWqI0eOmA1XnDNwoxM3WHkK1604P2GgmnMZ1sO5DDcKe8bv7Kwp+bL+5ZlzcDMy51I8Gc+5Fde9uHE4V65cKXJzEwHnTMxywk1k/BkPrHB9ju9yszKLAugh6aJqRAREQAQCQkAB9IBgVCUiIAIiEHgCnoCDFmkCz1Y1ioAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEBGBBRAV78QAREQAYsSUADdooaRWCIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAo4loAC6Y00rxURABOxOQAF0u1tQ8ouACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACNiNgALodrOY5BUBERABERABERABERABERABERABERABERABERABERABERABERABERABEQgKAQXQg4JVlYqACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACNiNgALodrOY5BUBERABERABERABERABERABERABERABERABERABERABERABERABERABEQgKAQXQg4JVlYqACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACNiNgALodrOY5BUBHwkkJSVhz549KFiwIHLkyOHj23pcBETAjQSSk5Nx/PhxlC5dGhEREW5EIJ0zICB/om4hAiLgKwH5E1+Jued5+RT32FqaikAgCMifBIKiM+uQP3GmXaWVCASTgHxKMOmqbhFwFgEF0J1lT2kjAukI7Nq1C+XKlRMZERABEfCZwM6dO1G2bFmf39MLziQgf+JMu0orEQgFAfmTUFC2VxvyKfayl6QVAasQkD+xiiWsI4f8iXVsIUlEwG4E5FPsZjHJKwKhJ6AAeuiZq0URCCmB2NhYxMTEgB8F0dHRIW1bjYmACNiTwLFjx8zGm6NHj6JQoUL2VEJSB5yA/EnAkapCEXA8AfkTx5vYbwXlU/xGpxdFwJUE5E9caXavlJY/8QqTHhIBEUhFQD5F3UEERMBbAgqge0tKz4mATQnwo4ABME4qFEC3qREltgiEmIDGjRADt0lz6hc2MZTEFAELEdC4YSFjWEwU9Q2LGUTiiIDFCWjMsLiBwiie+kYY4atpEbApAY0bNjWcxBaBMBBQAD0M0NWkCISSgD4KQklbbYmAMwho3HCGHQOthfpFoImqPhFwPgGNG863sb8aqm/4S07viYA7CWjMcKfdvdFafcMbSnpGBEQgNQGNG+oPIiAC3hJQAN1bUnpOBGxKQB8FNjWcxBaBMBLQuBFG+BZuWv3CwsaRaCJgUQIaNyxqGAuIpb5hASNIBBGwEQGNGTYyVohFVd8IMXA1JwIOIKBxwwFGlAoiECICCqCHCLSaEYFwEdBHQbjIq10RsC8BjRv2tV0wJVe/CCZd1S0CziSgccOZdg2EVuobgaCoOkTAPQQ0ZrjH1r5qqr7hKzE9LwIioHFDfUAERMBbAgqge0tKz4mATQnoo8CmhpPYIpANAklJSThz5kymNeTOnRs5c+bM9OcaN7IB38Gvql842LhSTQQuQCAxMRFnz57N8An5E3UdfwnIp/hLTu+JgH0JXMifUKvIyEhERERkqKDGDPvaPdiSq28Em7DqFwHrEdCal/VsIolEwKkEFEB3qmWllwj8Q0CTCXUFEXAXAQbOt27dCk4oLlRiYmJQsmRJ5MiRI91jGjfc1We81Vb9wltSek4EnEEgOTkZf//9N44ePSp/4gyTXlCLESNGYPDgwdi7dy9q1KiBoUOHolmzZpm+w5+PHDkSO3bsQNGiRXHHHXdg0KBBiIqK8oqWfIpXmPSQCDiCgLf+hMHzSpUqmUB62qIxwxFdIShKqG8EBasqFQHLEtCal2VNI8FEwJEEFEB3pFmllAj8S0CTCfUGEXAPAS5OcSGbJwVLly6d4QkOPhMXF4f9+/eDQfRSpUppgco9XSRbmsqfZAufXhYB2xFgIJXB8+LFiyNfvnzpNlzJn9jOpJkKPHXqVHTq1AkMojdt2hSjR4/GuHHjsHbtWpQvXz7de5MnT0b37t3xwQcfoEmTJti4cSO6du2KDh06YMiQIV6BkU/xCpMeEgFHEMjKn1BJbv7ds2cPmNmE407aTb4aMxzRFYKihPpGULCqUhGwJAGteVnSLBJKBBxNQAF0R5tXyokAoMmEeoEIuIcAA+ebN282wfNChQpdUPFDhw6ZIPpll12WLp27xg339BlfNFW/8IWWnhUBexNgml0GRRk8L1KkiPyJvc2ZpfQNGzZEvXr1zIlyT6lWrRrat29vTpWnLY888gjWrVuH2bNnp/yob9++WLZsGRYsWJBle3xAPsUrTHpIBGxPwBd/Ehsba4Lol156qQmkpy4aM2zfFYKmgPpG0NCqYhGwHAGteVnOJBJIBBxPQAF0x5tYClqNgNIjWs0ikkcEnEPg9OnTJn17xYoVkTdv3gsqdurUKWzbts2kSUybblWLEM7pE4HURP0ikDRVlwhYm4D8ibXtE0jpmAaTGQY+/fRT3HrrrSlV9+nTBytXrsS8efPSNTdlyhT07NkTs2bNQoMGDbBlyxbcdNNN6NKlC5577jmvxJNP8QqTHhIB2xOQP7G9CS2vgPyJ5U0kAUUgYATkUwKGUhWJgAh4SUABdC9B6TERCAQBpUcMBEXVIQIikBkBz2Qio6B42ncu9KwWIdTHMiKgfqF+IQLuISB/4h5b87RnmTJlsHDhQpOO3VMGDhyICRMmYMOGDRnCGDZsGHjqnKk0ExIS0KtXL5MCPrMSHx8P/vEU+pRy5cqBJ06jo6PdA1yaioDLCMifuMzgYVBXc5QwQFeTIhAmAvIpYQKvZkXAxQQUQHex8aV66AkoPWLomatFEXATAU0m3GTt0OuqxanQM1eLIhAuAvIn4SIf+nY9AfRFixahcePGKQK8/vrrmDhxItavX59OqLlz5+Luu+/Ga6+9Bs5veH0MT6w/+OCD6NevX4ZK9O/fHwMGDEj3MwXQQ29ztSgCoSQgfxJK2u5sS3MUd9pdWruTgHyKO+0urUUgnAQUQA8nfbXtKgKhSo+o0x2u6lZSVgTOI6DJhDpEMAlocSqYdFW3CFiLgPyJtewRTGn8maM0a9YMjRo1wuDBg1NEmzRpEh566CGcOHECERER6UTWHCWYVlTdImBdAvIn1rWNUyTTHMUplpQeIpA1AfmUrBnpCREQgcASUAA9sDxVmwhkSiBU6RGzfbpj5zIgdhdQsRlQoJgsKgIiYCMCmkzYyFg2FFWLU/4ZLe5MArYePInjpxPQoGJhRETk8K8ivSUCISQgfxJC2BZoiqfI69evf14K9urVq6Ndu3YYNGhQOgn5bJs2bfDmm2+m/OyTTz5Bt27dTAA9Z86cWWrlRp+y83Cc8QFlYvJmyUcPiIBTCMifOMWS1tXDjf7EutYIrGQn4xOw/3g89h87jVw5I1C3XIzmUoFFbLva5FNsZzIJLAK2J6AAuu1NKAXsQiBU6RGzfbpjZFNg32qg4+dA5TZ2wSs5RUAEAGgyoW4QTAJanMqcbnxCInYcijOBcv7Zdujc3/yz79i/d/4+fV0VPNzq0mCaSXWLQEAIyJ8EBKNtKpk6dSo6deqEUaNGmTTuY8aMwdixY7FmzRpUqFABnTt3Nveke4Lp3LD7zjvvmOc8Kdx5BzoD66zLm+I2n8Lg+XVD5yM+IQndr6qEPq0rI3+eXN6g0jMiYGsC8ie2Np8thHebP7GFUbIQ8kR8AvYdO439x+Kx//i/f3Pe9O//x4PPpS6ViuZHp0YVcHv9siiUN7cTUEgHHwnIp/gITI+LgAhkm4AC6NlGqApEwDsCoUqPmFYanycTH7UDtswFbh0N1L7bO+X0lAiIgCUIeCYTFStWRN68Fz7dFBcXh+3bt6NSpUqIioo6T36fxw1LaC8hgk3A7f3ibGISdh05hW3/BMZTB8p3Hz2F5OTMLVAwTy4cj09A/sicmP9MKxQpkCfY5lL9IpAtAh5/wuBpvnz5LliX/Em2UFvm5REjRuCtt97C3r17UbNmTQwZMgTNmzc38rVs2RL8thg/frz5/4SEBHjuSN+9ezeKFSuGtm3bmn+LiYnxSie3+ZTHp/yOr1buSWFTqlAUXm5bHdfVKIkcOZSZxKtOo4dsScAXf3Lq1Cls27ZN8xNbWjp8QrvNn4SP9IVbTk5ONvMdnhZnYHxfSmA8/lyw/J+T5Pw77kyi12rki8yJEtFROHg83tTPkjd3Ttxarww6N66AqiWjva5LD9qfgNa87G9DaSACdiOgALrdLCZ5bU3AFukRP+sOrP4MuPZ1oMkjtuYt4UXAbQQSExOxadMmE+zgYnZGC7Kc2HJDz4EDB8DnK1eunO6uUi1CuK3neKevG/oFfz8YDDfBcRMo56nyE9h2KA48PZiQlHmUvECeXOCpiIpF86NSkXyoVCw/KhbJb/4tOio32g1fiFW7Y9G1SUX0v6WGd9D1lAiEiUBSUpLxJ0zFTX8SGRmZzqfIn4TJOA5p1g0+xWOq1btjcfOwX8z/vnhTNXy0eDt2HI4z/9+qSjEMuKUmyhe58EYVh5hdariQgDf+hFjoUzg/4aYszk/SXgXhpjHDhd0kWyqrb2QLn18v8/d16vKdWLDp4LkT48fPBclPn03yuj5uMC4WnQclCkaheHQeFC+YxwTKi/3zN/+/eHQUOMdiYTr3L3/fjY8Wb8PGfSdS2mlYqTC6NKmIa6qXQO6cEV63rwftSUBrXva0m6QWATsTUADdztaT7LYjYIv0iN8/CywdBVz1BNCmv+0YS2ARcDsB3j26a9cuswh1ocIge6lSpUxQJG3RIoTbe1HG+ruhXzww4Vf8tG5fph0gKndESlD8XKA8f0qgvGiB9AHG1BUt3HwQHcctRe6cOTD7yZYKlujXzPIEuNmKp5EZzJA/sby5bCegG3yKxyid3l9qggy31C6N/91TF6fPJmLEnM0YNW8LziQmIU+uCHO9R48WFyNPrqzvj7edsSWw6wl460+4+bds2bIoUKCA5ieu7zXeA3CTP/GeSnCffO/nTfjvrI0ZNhIdlcsEvj0BcU8g3PztCY5H50G+SP+uMeE6x5IthzFxyTbMXLMPif9scC4RnQcdG1bA3Q3KoXjB8zPsBZeGag81Aa15hZq42hMBdxNQAN3d9pf2YSBg+fSI8wYDc14D6t4HtBseBkJqUgREILsEuCv37NmzmVbDEx25cuXKNGWoFiGyawFnvu/0fuE5IchMuhczOP7Pn9SBcp6QiIjwP9WuJ4jSrk5pvHt3XWd2FGnlKAJcpGS6bvqVjIr8iaPMHVJlnO5TPDB/2XQQ972f8eapvw6cwEvTV2Ph5kPmcfqdV9vVxFWVi4bUFmpMBEJBICt/Qhly586d7uS5Rza3jBmhsIXT2lDfCK1Fpy3fiWc+/9M02v2qSqhX/iJzgtxzkjwqd+g2gu2NPYWPl+7AJ8t24OCJM0Ymbla+sVYpdG5cEfXKx+ialNB2j5C1pjWvkKFWQyLgegIKoLu+CwiA0wn4PJn49QNgxhPAZTcA905xOh7pJwIikAEBn8cNUXQFAaf3i2c/+xNTf92JtrVLY9g9wQlup07jO+PRq1CzTCFX9B0p6V4CTh833GvZ7Gvuhr6RlJSMW4b/gtW7j2V6fQeDit/8uRevzliLA8fjDVj6oX43VTMn+FREQATOEXDDmCFb+0dAfcM/bv68NXvdPjw0cYU59d2r5SV49vqq/lQT8HfiExLxw+q/MWHRNvy242hK/TVKR6NL44q4pU5phDKwH3AFVWHACWjcCDhSVSgCjiWgALpjTSvFRMDPiebar4FpnYCyVwIP/CSMIiACLiSgyYQLje6Fyk7uF0fjzqDhwNmIT0jCpz0b48qKhb0g4t8jfab8jukr96BZ5aKY2L2hf5XoLRGwCQEnjxs2MYFlxXRD35i+cjf6TFlp7m+d93RLFCmQJ1N7HDt9Fu/M2mjudmU2Wr7T99rL0KlRBeTSna6W7ccSLHQE3DBmhI6ms1pS3wiNPVdsP4KO45aYe85vr1cW/73zckue7l61K9b40q//2GPmdiwx+XLjrivK4b6GFXSNVmi6i+Vb0bhheRNJQBGwDAEF0C1jCgkiAsEh4PNHwfbFwIfXAxdVAvqsDI5QqlUERMDSBHweNyytjYQLFAEn94ux87fg9e/WoVqpaHz32FVBXQzacSgOrd+Zi7OJyZjUvaFS9Qaqg6oeSxJw8rhhSeA2EsrpfeNMQpIZ63cePoW+11yGR1tX9so6zFTyn69W44+d507Q8fTca+1rom75i7x6Xw+JgFMJOH3McKrdQqGX+kbwKW/efxx3jFqMo3Fn0apKMYzpfAVyW3xz15GTZzDt152YuGQ7dh05ZSDxqq6rqxRH5yYV0ezSotm6miv41NVCMAlo3AgmXdUtAs4ioAC6s+wpbUQgHQGfPwoObgLeuwLIEw08v1NERUAEXEjA53HDhYzcqLJT+wVT7LZ6ey62H4rDoNtq4Z4G5YNu3v5fr8H4RdtQq0whTH+4qRZvgk5cDYSLgFPHjXDxdFK7Tu8bHy7cigHfrEWxgnnM6fN8kbm8Nh9T405ZvgNvfr8ex04nmAV/+qZnr6uKQvlye12PHhQBJxFw+pjhJFuFWhf1jeAS/zv2NG4fuQi7j55C7XIx+OTBhj75tOBKl3Xt9Klz1u/HR0u2Y/7GAykvVCySD50aV8Qd9cuiUF751qxJOusJjRvOsqe0EYFgElAAPZh0VbcIWICAzx8FcYeBtyqdk/zF/UCuzFMNWkA9iSACIhAEAj6PG0GQQVVaj4BT+8WcDftx/4fLUTAqF5a+0DokC0KHTsSjxeC5OBGfYO5b5323KiLgRAJOHTecaKtQ6+TkvnH89Fkzxh8+eQav31oTHRtW8AvvwRPxGPTdenz+2y7zfpH8kXj+xmq4vV6ZoGZK8UtYvSQCQSbg5DEjyOgcX736RvBMHHvqLO4atRgb9h3HxUXz47NeTVA4f2TwGgxyzVsOnDAn0j/7dReOxyeY1vLmzolb65VB58YVULVkdJAlUPVWIaBxwyqWkBwiYH0CCqBb30aSUASyRcDnj4KkJODVokByIvDEWqBQmWy1r5dFQATsR8DnccN+KkpiPwg4tV90G78cP6/fj25NK+GlttX9IOPfK/+bvQnv/LgRFYrkw49PtEBkrgj/KtJbImBhAk4dNyyM3DaiOblvvD1rA4b9vNkEG2Y+0TzbaW6XbjmEF79ajU37Txj7NqhYGK/dWhOXlShoG3tLUBHILgEnjxnZZeP299U3gtMDTp9NROcPlmHZ1sMoXjAPPu/VBOUK5wtOYyGu9WR8Ar78fTcmLt5uNgd4SoNKhdGlcUVcW6NEtn13iFVScz4S0LjhIzA9LgIuJqAAuouNL9XdQcCvj4LBlYGT+4Ee84FStd0BSlqKgAikEPBr3BA/xxNwYr/gfeQt/jsHycnAnKdaolLR/CGzIxdueEKRJwxfaVcDnRtXDFnbakgEQkXAieNGqNg5vR2n9o39x06bsf3U2USMuq8erq9ZKiCm5J3q7/+yFdx8xbpzReRA92aV0Kd15ZBkTgmIEqpEBLJBwKljRjaQ6NV/CKhvBL4rMO35w5N/ww9r/kbBPLkwtUdjVC/tvNPZycnJWLr1MD5avA0z1+wD9Wbh9SsNKxU2123xT40yhZTmPfDdLKw1atwIK341LgK2IqAAuq3MJWFFwHcCfn0UjGgC7F8D3PcFcGlr3xvVGyIgArYm4Ne4YWuNJbw3BJzYLwZ+tw5j5m9B88uK4aNuDbzBENBnmEKw31erUbRAJOY+3QoF8nh/R25ABVFlIhAkAk4cN4KEynXVOrVvvPDlKny8dAfqlo/BF72aBDzV+q4jceZu9R/X7jN9pnShKLx8Sw1cW71EwNtyXaeUwpYm4NQxw9LQbSKc+kZgDcWgcr/pqzFpyQ5E5ozAhG4N0PiSIoFtxIK17Y09Zfz3J8t24OCJM+kk5J3pNcsUwuVlC5m/+Sc6SnenW9CUXomkccMrTHpIBEQAgALo6gYi4HACfn0UTGgLbJ0P3DYWuPwuhxOSeiIgAmkJ+DVuCKPjCTitXzAtYaNBs3E07izGdb4CbaqXCLkNzyYm4Zp35mHboTg83qYyHm9zWchlUIMiEEwCThs3gsnKbXU7sW/8deAErh0y35xgm/pQIzS8OHgBh5/W7sPLX6/B7qOnTNe5umpxDLilhmPS67rt90H6Zk3AiWNG1lrb84kRI0Zg8ODB2Lt3L2rUqIGhQ4eiWbNmmSrDn48cORI7duxA0aJFcccdd2DQoEGIioryCoD6hleYvH5o2OxNePvHjciRA3jvnnq46fLAZFLxWoAwPxifkGjS1v+5Kxard8di1e5Y7DpyztemLQyq1yobg1plohVUD7PdfG1e44avxPS8CLiXgALo7rW9NHcJAb8+Cj69H1jzBXDdIKBxb5eQkpoiIAIeAn6NG8LneAJO6xfTft2JZz77E2Vi8mL+M62QMyJHWGz47Z978fDHvyF/ZE5zCp0pA1VEwCkEnDZuOMUuVtDDiX2j16QV+H7132hdtTje73pl0DGfOpOIYT9vwtgFW3A2MRlRuSPw6NWV8UCzSsiTK2fQ21cDIhBKAk4cM0LJL1RtTZ06FZ06dQKD6E2bNsXo0aMxbtw4rF27FuXLl08nxuTJk9G9e3d88MEHaNKkCTZu3IiuXbuiQ4cOGDJkiFdiq294hcmrh6Ys24HnvlhlnuWmrC5NdMUUWRw+eSYlmM6gOoPrng1sacHySjCeTmdQvVaZGNQoE62T6l71vtA+pHEjtLzVmgjYmYAC6Ha2nmQXAS8I+PVR8N3TwLIxwFVPAm1e9qIVPSICIuAkAn6NG04CIF0yJOCkfsHUhG3f+wWrdx/Ds9dXRa+Wl4TN6pSl/fCF+GNXLLo0roAB7WqGTRY1LAKBJuCkcSPQbNxen9P6xm87juC2EYvAvVjf92mOKiULhszEm/cfx4tfrcaSLYdNm1y8f+nm6mhVtXjIZFBDIhBsAk4bM4LNK1z1N2zYEPXq1TMnyj2lWrVqaN++vTlVnrY88sgjWLduHWbPnp3yo759+2LZsmVYsGCBV2qob3iFKcuHeDVIj4m/gteAP9zqEjx9XdUs33HzVKjWXgAAIABJREFUA6mD6qt2nTupnlVQ/fJ/Ur/XLBONgkr/Htbuo3EjrPjVuAjYioAC6LYyl4QVAd8J+PVRMPdNYO5AoF5n4JZhvjeqN0RABGxNwK9xw9YaS3hvCDipX3gCHZG5IrDk+dYonD/SGwRBe2bRXwdx79ilyBWRA7P7tkCFIvmD1pYqFoFQEnDSuBFKbm5oy0l9gxuhOoxegmXbDuPO+mUx+M7aITchZfhq5W68/u16HDwRb9rnSfh+N1dHxaLyKSE3iBoMOAEnjRkBh2ORCs+cOYN8+fLh008/xa233poiVZ8+fbBy5UrMmzcvnaRTpkxBz549MWvWLDRo0ABbtmzBTTfdhC5duuC5557LULP4+Hjwj6ewb5QrVw6xsbGIjo62CA17ibFi+2EzF4lPSDJ+7K07LkcO5nBX8YkAg+oMpJvU714E1WuZk+qFcE31EvLVPpHO/sPyKdlnqBpEwC0EFEB3i6Wlp2sJ+PVRsHwc8G1foMpNwD0fu5adFBcBtxLwa9xwKywX6e2kfvHE1JX48vfduL1eWbx9V+gDHRl1m64fLsPcDQfQtnZpDLunrot6llR1MgEnjRtOtlM4dHNS35i9bh+6T/gVeXJFYM5TLVE6Jm84kJo2j58+i//N3oQPF25DQlIyInNGmJTuD7e6FPnz5AqbXGpYBLJLwEljRnZZWPX9PXv2oEyZMli4cKFJx+4pAwcOxIQJE7Bhw4YMRR82bBh46pwbgRISEtCrVy+TAj6z0r9/fwwYMCDdjxVA969nMIvJ7SMXI/bUWVxdtTjGdKqPXDkj/KtMb6Uj4G1QvVnloujYsALaVCsu/iHoR/IpIYCsJkTAIQQUQHeIIaWGCGRGwK+PgrXTgWmdgXINge6zBFcERMBlBPwaN1zGyCrqcnFp8ODB2Lt3L2rUqIGhQ4eiWbNmGYrXsmXLDE9+3Hjjjfj222+zVMkp/YIn85oM+hlnEpMw/eGmqF0uJkvdQ/HA2j3HcNOwBUhOBr555CrUKlsoFM2qDREIKgGnjBtBheTSyp3SNxKTknHDu/Oxcd8J9GhxMZ6/oZolLMqAyIBv1mLBpoNGnpLRUXj+xqq4pXZpnSq0hIUkhK8EnDJm+Kq3nZ73BNAXLVqExo0bp4j++uuvY+LEiVi/fn06debOnYu7774br732Gpj+ffPmzeCJ9QcffBD9+vXLUH2dQA9cr9gbewq3j1iEPbGnUbd8DD5+oBHyRuYMXAOqKUMCh07EY/WeY+ak+pIth/DL5oNmDujx13c3KIe7ryyPkoWiRDBIBORTggRW1YqAAwkogO5Ao0olEUhNwK+Pgm0LgfE3AoUvAR77TUBFQARcRsCvccNljKyg7tSpU9GpUydzQqNp06YYPXo0xo0bh7Vr16J8+fLpRDx8+DCYWtFTDh06hNq1a5t3unbtmqVKTukXw+dsxuCZG1C7bCFMf+SqLPUO5QNPTl2JL37fjasuLYpJDzQMZdNqSwSCQsAp40ZQ4Li8Uqf0jWm/7sQzn/2JQnlzY/7TrVAoX27LWJanOWet3YdXZ6zFriOnjFwNKhVG/7Y1UL200hxbxlASxCsCThkzvFLWpg/5k8KdG38bNWpkNgR7yqRJk/DQQw/hxIkTiIjI+iS0+oZ/HSY27izuGr0YG/Ydx8XF8uOznk3Cfq2Vf5rY/62dh+Pw8bIdmLZ8Jw6dPDdfzxmRA9dUK4H7GlVAk0uKICJCKfUDaWmNG4GkqbpEwNkEFEB3tn2lnQjAr4+CAxuA4Q2AqELAcztEUQREwGUE/Bo3XMbICurylEa9evUwcuTIFHGqVauG9u3bY9CgQVmKyNPqL730kjm9nj9/1vejOqFfJCQmocXgudh99BT+e2dt3FG/bJacQvkAF09avz3PnI6f2L0BmlUuFsrm1ZYIBJyAE8aNgENRhYaAE/rG6bOJaPXfudgbexov3FgVDzW/xJLWpZxj5m/BiLmbcfpsErgGzwX5J6+5DDH5Ii0ps4QSgbQEnDBmuMGqnJ/Ur1//vBTs1atXR7t27TKcn/DZNm3a4M0330zB88knn6Bbt24mgJ4zZ9anodU3fO9Z9Aud31+GZdsOo3jBPPiidxOUvSif7xXpjYASiE9IxA+r/8bkJTuMbTylUtH86NiwvJm7ym8HBrnGjcBwVC0i4AYCCqC7wcrS0dUE/PooOHkIGHzxOW4vHgByaWHF1Z1IyruOgF/jhusohVdhf054pJW4Vq1aJr3imDFjMlTGiekRZ675Gz0mrsBF+XJj8fOtEZU760W5UFuaJwXf/2UrapSONqncddog1BZQe4EkIH8SSJrOqssJfWPUvL/wxvfrUbpQFH5+qqUlfUrqXrPrSBwGfbce367aa/6ZvvCp66qYNLE86aYiAlYm4IQxw8p8AyWbJ0PWqFGjUuYZY8eOxZo1a1ChQgV07tzZ3JPu2ezL+8zfeecdMx/xpHDnHegMrLMub4r6hjeU/n2GV4/0nrwCM9fsQ8GoXJjWozGqlVJWEt8oBv/pDX8fx+Sl2/HFb7txIj7BNJgnVwRuvrw07mtUHnXKxehKlmyYQeNGNuDpVRFwGQEF0F1mcKnrPgJ+fRQkJQGvFgGSk4An1wPRpdwHThqLgIsJ+DVuuJhXOFT33DG4cOFCNGnSJEWEgQMHYsKECdiwYcMFxVq2bJlZpFq6dCkaNGiQ4bNc0BowYEC6n8XGxiI62p6LLPeNW2rumOvZ4hI8d0PVcJguyzYPnzyDFm/NwfH4BLx7dx20q1Mmy3f0gAhYlYD8iVUtE3657N43jsadQfO35uDY6QRLZjS5kIUXbT6I/t+sMfe2s9QsE40Bt9RA/QqFw98xJIEIZELA7mOGmwzL66Xeeustk+WqZs2aGDJkCJo3b24QtGzZEhUrVsT48ePN/yckJMBzR/ru3btRrFgxtG3b1vxbTEyMV9jUN7zCZB7i1R7/+Wo1Pl66A5E5I/BR9wZodHER7yvQkyEncDI+AdNX7sGkJduxdu+xlPa52ZrZZNrVKY18kblCLpfdG9S4YXcLSn4RCB0BBdBDx1otiUBYCPj9UTD4UuDkAaDnL0DJWmGRXY2KgAiEh4Df40Z4xHVlq54A+qJFi8zpDk/xLECtX7/+glx69OgBvrtq1apMn3PaCfS/Dpww6dFz5IC5p7ZcYeumKfTc0172oryY3bcF8uSy3kl5V/7iSWmfCcif+IzMNS/YvW8M/G6dSYtetWRBfPtYM9ud4D6bmGQW49/5cSOOnz53su3WumXw/A1VUTw6yjX9UIrah4Ddxwz7kLafpOob3tvs3Z82YchPG818aPi99XBjLR2W8Z5eeJ/k5offdx41vnvGn3txJiHJCFQwTy7cVq+MCaZXLlEwvELaqHWNGzYylkQVgTATUAA9zAZQ8yIQbAJ+fxQMbwQcWAd0+gq4pFWwxVT9IiACFiLg97hhIR2cLkp2UrjHxcWhVKlSeOWVV9CnTx+vUdm9X/T/eg3GL9qGNtWKY1yXK73WOxwPxp1JQMvBc7H/eDxeblsd9zetFA4x1KYIZJuA3ceNbANQBZkSsHPf2H30lLn7nIvXH3a9Eq2qFretpQ+eiMfgHzZg2oqdSE4G8kfmxGOtKxu/E5krwrZ6SXDnEbDzmOE8a1hLI/UN7+zxybIdeP6Lc5unX21XA50aV/TuRT1lOQJHTp7BZyt2mRTv2w7FpcjXoFJhE0i/vkZJ+fAsrKZxw3LdWgKJgGUJKIBuWdNIMBEIDAG/PwrG3wxsWwDc/j5Q647ACKNaREAEbEHA73HDFto5R0imYOf9gEyT6CnVq1dHu3btUu4VzEhbpkzs2bMnmCaxSBHvU/bZuV8w9V2jgbNNWvQJ3RqgxWXFLN8RmFrxhS9XoXD+SMx7uiUKRuW2vMwSUATSErDzuCFrBpeAnftG32l/4PPfdqFhpcKY8lAjR9xB+sfOo3j56zVYufOoMfzFRfPjpbbV0bKKfTcHBLcHq/ZQE7DzmBFqVm5rT30ja4vPWvM3ek5agaRk4NGrL0Xfa6tk/ZKesDyBpKRkLPzroDmV/tO6/eD99ixFC0TirivK4Z4G5S2ddS2cgDVuhJO+2hYBexFQAN1e9pK0IuAzAb8/CqZ1AdZ+BVz/BtCol8/t6gUREAH7EvB73LCvyraUfOrUqejUqRNGjRpl0riPGTMGY8eOxZo1a1ChQgV07twZZcqUSRdMb9asmfn3KVOm+KS3nfsFFxVe/Go1KhXNj9lPtkBERA6fdA/HwwmJSbh2yHxsOXgSj119KZ7UQlc4zKA2s0nAzuNGNlXX61kQsGvfWP/3Mdzw7gJzWvurh5uiTjnv7ui1Q4fgQjw3Brz5w3ocPHHGiNymWgm8dHN1lC9i3WtP7MBWMmafgF3HjOxrrhqyIqC+cWFCv247jI7jliI+IQkdriiHN26v5YiNX1n1C7f9fG/sKUxZthNTlu/AvmPxRn2m6m9VpTjua1QeLS4rbrvrZoJpQ40bwaSrukXAWQQUQHeWPaWNCKQj4PdHwbd9geXjgGZPAa37iawIiICLCPg9briIkVVU5enzt956C3v37kXNmjUxZMgQNG/e3IjXsmVLVKxYETxx7ikbN25ElSpVMGvWLFxzzTU+qWHXfsH74q4fugAb9h1Hv5uro/tV9kmH/sPqveg56TfkzZ0T855pieIFdS+tT51WD4edgF3HjbCDc4EAdu0b3cYvx8/r9+PGWiUxomN9R1rq2Omz+N9Pm8y1JwlJySYNbI/mF6NXy0uQLzKXI3WWUtYnYNcxw/pk7S+h+kbmNty47zjuHLUYsafOonXV4hjdqT5y5dT1HPbv9ZlrcDYxCbPX7cOkJTvwy+aDKQ+WicmLexuWx70NyuOi/JFORuCVbho3vMKkh0RABLgZKZmriioiIAKOJeD3R8HcN4C5g4D6XYG27zqWjxQTARFIT8DvcUMwHU3Arv1i6ZZD6DBmiQlCL3mhNQrltU8qdH6m3zpikUmpy5MDr7Wv5eg+JuWcR8Cu44bzLGE9jezYN5ZsOYS7xywxJ7h+erKFyWri5LJ5/3EM+GYtFmw6twBfulAUXripGm6qVUqnF51seIvqZscxw6IoHSeW+kbGJt1z9BRuH7kIe2NPo175GEx+oBHyRuZ0nP2lUOYEthw4AV4L9umKXWYTBQu/Xb7v0wxRud3dFzRu6DdHBETAWwIKoHtLSs+JgE0J+P1RsGws8N1TQNWbgbsn21R7iS0CIuAPAb/HDX8a0zu2IWDXfvHwx7/h2z/34p4G5TDotsttw9sjaOqAzY9PNMfFxQrYTgcJ7F4Cdh033Gux0Glut77BDU3tRywC7wp304Ym6j1r7T68OmMtdh05ZTrIbXXL4J0OdULXWdSSCACw25gho4WOgPpGetaxcWdxx6hF2LT/BC4plh+f9WyiU8eh65KWa+n02UTM+HMv3vieV7TE2y4rWzCAatwIBlXVKQLOJKAAujPtKq1EIIWA3x8Fa74EPu0KlG8MdPtBREVABFxEwO9xw0WM3KiqHfvFvmOn0fSNn00K2u8ea4bqpaNtaTpPymCe+hvesZ4tdZDQ7iRgx3HDnZYKvdZ26xvfrdqL3pN/Q77InJj7tPuu1ODi++h5WzDkp42ms/ze7xoFY0L/a+PqFu02ZrjaWCFWXn3jfOAcrzu9vxTLtx1Bieg8+KJ3UzB9t4oITFm2A899sQqF80di3tMtUTDKPpnZAm09jRuBJqr6RMC5BBRAd65tpZkIGAJ+fxRsXQBMuBkoUhl49FfRFAERcBEBv8cNFzFyo6p27BdDftyId2dvwpUVL8KnPZvY1mzr/z6GG95dAF689NXDTVGnXIxtdZHg7iJgx3HDXRYKn7Z26hu8T/TaIfOx9eBJPNa6Mp685rLwgQtzyw0H/oR9x+Lli8JsBzc2b6cxw432CafO6hv/0k9ITEKvyb/hx7X7UDAqFz7t2RhVS9pzA3E4+5RT22b/uHbofGw5cBJ9WlfGEy7+ntG44dReLr1EIPAEFEAPPFPVKAKWIuD3R8H+dcCIRkBUDPDcdkvpJGFEQASCS8DvcSO4Yqn2MBOwW79gwIOnz/cfj8f/7qmLW2qXDjPB7DXfd9of+Py3XWh0cWF88mAj3T+bPZx6O0QE7DZuhAiLJZsZMWIEBg8ejL1796JGjRoYOnQomjVrlqGsLVu2xLx589L97MYbb8S3337rlX526hsTl2xHv69WowhPbD3TCgXy5PJKRyc+dNfoxVi29TDevbsO2tUp40QVpZNFCdhpzLAoQseKpb5xzrS8cuOFL1fjk2U7EJkrAhO7NUDDi4s41u5SzD8C36/aazZZ5I/Mab5pihbI419FNn9L44bNDSjxRSCEBBRADyFsNSUC4SDg90fBiQPAfy89J3K/g0BO96b2CYfd1KYIhJOA3+NGOIVW20EnYLd+MePPPXjk49/NosCi5642C0l2LruPnkKr/87FmYQkjL//SrSsUtzO6kh2lxCw27jhErOkU3Pq1Kno1KkTGERv2rQpRo8ejXHjxmHt2rUoX758uucPHz6MM2fOpPz7oUOHULt2bfNO165dvcJol75xMj4BLQbPNXeGDrilBro0qeiVfk596OlP/8CnK3aZU/g8ja8iAqEiYJcxI1Q81M6/BNQ3zrHgqfMHP/oVETmAER3r4fqapdRNRCAdAW60aDd8If7cFYv7m1bEy21ruJKSxg1Xml1Ki4BfBBRA9wubXhIB/wnY5nRHUiLwCnerJgN9NwIFS/ivtN4UARGwFQFNJmxlrpAJa7d+4Tkl99jVl+LJa6uEjFMwG3r927UYu2ArqpYsaO50j+AKmYoIWJiA3cYNC6MMqmgNGzZEvXr1MHLkyJR2qlWrhvbt22PQoEFZts3T6i+99JI5vZ4/f/4sn+cDdukb7/60ydz7XaFIPvz4RAvbb8byyjgXeGj4nM0YPHMDbq9XFm/fVTu71el9EfCagF3GDK8V0oMBI6C+cQ7lnaMWmXvPezS/GM/fWC1gfFWR8wgs3HwQHcctRWTOCMzu2wLlCudznpJZaKRxw3Uml8Ii4DcBBdD9RqcXRcB3ArY73fHWxUDcIaDXIqCEM3YlxsadxXNf/ImrKhdFx4YVfDei3hABFxDQZMIFRvZDRTv1C94Zfv3QBcgZkQMLn70aJQtF+aGx9V45cvIMmg+eg+OnEzCkQ23cWres9YSURCKQioCdxg23Go4nyfPly4dPP/0Ut956awqGPn36YOXKlRmmak/LqlatWmjcuDHGjBmTKcb4+Hjwj6ewb5QrVw6xsbGIjrbm/aw8dd7irTk4eSYRw+6pi7Y2vwokEH38mz/24NFPfscVFS7CZ72aBKJK1SECXhGQP/EKkysfUt8AVu48ivbDFyJ3zhz45dmrUSLaGXMfV3boECl937il+GXzQdxWrwzeuatOiFq1TjMaN6xjC0kiAlYnoAC61S0k+RxFwHanO95rABzcAHT+Gri4hSNs8cxnf2Dar7tQulAUFj3f2hE6SQkRCDQBTSYCTdQZ9dmpX/zny1WYvHQHbqxVEiM61neGAf7RYsTczXjrhw0oE5MXPz/VAnly5XSUflLGWQTsNG44i7z32uzZswdlypTBwoUL0aTJvwHRgQMHYsKECdiwYcMFK1u2bBk4x1m6dCkaNGiQ6bP9+/fHgAED0v3cygH0l6evxoTF21GrTCFMf7ipsn4AWLUrFm3f+wXFCubB8v+08b6j6UkRyCYB+ZNsAnTw6+obwCMf/4YZf+5VdhAH9/NAq/bHzqMmlXuOHMAPfZqjSsmCgW7C0vVp3LC0eSScCFiKgALoljKHhHEygVCd7kjLMFsfBR/eCGxfCNz+PlDrDtubZ9FfB3Hv2KVGD55K3PjaDeZvFREQgfMJZGvcEEzHErBLvzh2+iwaDZyNuDOJ+OTBRmh8Ca8jcU45dSYRLf87B/uOxaPfzdXR/apKzlFOmjiOgF3GDceB90EhTwB90aJF5hS5p7z++uuYOHEi1q9ff8HaevToAb67atWqCz5ntxPo2w+dROu35yEhKRkfP9AQTS4t6gNV5z4ae+osag+YZRRcM+A65M+Ty7nKSjNLEZA/sZQ5LCWM2/vGriNxaDF4LhKTks0VT9VLWzOri6U6jYQxBHpPXoHvVv2NNtVKYFyXK1xFxe3jhquMLWVFIJsEFEDPJkC9LgLeEgjV6Y6ALk5N7QSs+xq44S2gYQ9vVbXkc6fPJuKGdxdg68GTKfItfaG1UltZ0loSKtwENJkItwWs2b5d+sWHC7diwDdrcVmJApj5eHPk4LZ6h5Upy3bguS9W4aJ8uTHvmVaIjsrtMA2ljlMI2GXccApvf/TIzibfuLg4lCpVCq+88gqY8t2XYvW+4TnN1/yyYvioW+Yn633R2SnP1n1lFo7EncX3fZqhWikFapxiV6vrYfUxw+r8nCyf2/vGqzPW4v1ftuKqS4ti0gMNnWxq6RZgAn8dOIFrh8w3my8+79UY9SsUDnAL1q3O7eOGdS0jyUTAegQUQLeeTSSRQwmE6nRHQNMjzngS+PV9oPkzwNX/sbVl3p61AcN+3owS0XmQkJiMQyfP4MveTVC3/EW21kvCi0AwCGgyEQyq9q/TDv0iOTkZrd+Zhy0HTuLVdjXQqXFF+4PPQIOExCRcN3Q+/jpwEo+0uhRPXVfFkXpKKfsTsMO4YX/K2deAKdjr16+PESNGpFRWvXp1tGvXDoMGDcq0gfHjx6Nnz57YvXs3ihTxLduHlfvGn7uO4pb3zqU1/fZRneZL2wGY8pWpX0f9n73zgIri6uL4n64oGgvYBTvN2EVEur1hizXYo0Zj76DGjr0mir1gwxorFoqggFixoAiKKChgBQvS+c6MwSSfhZ3dmZ3Z3bvn5OSc8N4tv3dzd3bee/f+3BBtrSsoHoAkgQjIQEDKOUMG82mIgAQ0OTaYylvNvQLxPjMH2wc1gVMdEwFJk2h1JDDt0C3su5KApmal4Tu8mVoePv/aumly3lDHOCafiICQBGgDXUi6JJsI/IuAsm538HoDPWghELwYaDwY6LhSZdfzfvI7dFhzgS3B6P1zI2wMeYjrT1Kxvl9DtKtLL31UdmHJcMEI0I8JwdCqtGBViIuLsS/x85YIFDfQxSUPV/bf6vo5E5WM4T7XUERPGyGTnWFSooi6ukp+qTABVcgbKoyXN9N9fX3h7u4Ob29vtoz7xo0bsWnTJkRFRcHU1BT9+/dn+6T//2a6vb09+9/37dvH2RapxgZzEKvf5giEPXyFrg0qYWWv+px9U/cJY/fdwNHIZ5jezhzDHWuou7vkn0QISDVnSASPRpuhybGxKSQOC07dQy2T4jg7Xj0rb2l0cCvB+aS0j2wLgKycPGwb1ATOGnIIQ5PzhhLCilQQAbUiQBvoarWc5IzUCajc7Y6IjYDfZMCiM9DLR+p4v2pfXl4+eniHsRvmrS3LYWP/xhi1+zpO3k7CrI6WGEy9Y1VyXcloYQnQjwlh+aqqdFWIi2E7r+Ls3RQMsDXFHDdrVUUtk93MJk/39Z++3/rZVMWCrnVlmkeDiIAyCahC3lAmDynrYm6fL1myBElJSbC2tsbKlSvh4ODAmuzk5AQzMzMwN84LPjExMahTpw7Onj2LVq1acXZNqrERHPMCA7Zehr6ONgImOqJKaUPOvqn7hBXnYrAmIBZ9mlaFVzf67lH39ZaKf1LNGVLho8l2aGpsZOfmwXFJEJ6lZWBx97ro1aSqJocB+a4AgYWn7mFjSBzbluXk6BbQ1la/Fmj/j0dT84YCYUJTiYDGEqANdI1denJcDAIqd7vjziHg4GDA1A4YdEoMZArr9Ln0GDP/usPeQjw3wQEVShZFQY+oYQ7V4dHeQmEdJIAIqBsB+jGhbivKjz9Sj4unqR9hvzgQefmA/wQH1DQx4sdxCUsJf/gKfTZdgoGuNi5Nd0WpYvoStpZM00QCUs8bmrgmUvFZirHBHLztsPYi7iW9xZAW1TCzo6VUcEnKjkPXEjHxwE3Y1SyD3UObSco2MkZ9CUgxZ6gvbdXyTFNj42jkU4zdF4myxfVxcaoLiujpqNbCkbWSIfDmQxYclgThXWYOVveuD7f6lSRjm1CGaGreEIonySUC6kyANtDVeXXJN0kSUKnbHXHBwM7OQNnawG9XJMnze0Ylp2Wg1Ypg9iFwrpsV+v/dC3fzhTjMP3kPnepVxNo+DVTOLzKYCAhNgH5MCE1YNeVLPS6WnI7GuvMP0bxGGez5RTNe6DO30DuuvYioZ28xta05fnWiUrqq+X+X+lot9byhvuSl75kUY+PIjUSM970JIwNdhExxpkNJ3wija49fo/v6cFT6oShCp7lIP9jIQrUgIMWcoRZg1cAJzrHxIAB4cR+w6Aj8oJq3tpnfAG5/huJWYhomtKqNMa611GAlyQUxCfwRGItlZ2NQtbQh/Cc4Ql9XW0xzBNfNOW8IbhEpIAJEQKoEaANdqitDdhEBnggo9FCQchdYbwsULQ1MfcSTRcoTM8LnGk5HJaNB1R9wcERz6PxdhujkrSSM2nMdjU1L4eCvzZVnEGkiAipCQKG8oSI+kpncCUg5LjJzctHcKxCvPmTB++eGaGtdgbuDKjpj/9UETDl4i93ICJ7sBF0d9X7ZoaLLpLFmSzlvaOyiSMRxqcUG8z3isiwYTDWTyW3qYJRzTYmQkp4ZL95loskCf2hpAdHz2sJAl249Sm+V1M8iqeUM9SOsuh5xjo3NrYDEy8BPOwCrLirpeETcK/Ta+KkKVfh0V5SmKlQquY5SMjo9KwcOS87j5ftMzOtiDfdmplIyj3dbOOcN3i0ggUSACKgKAdpAV5WVIjuJgJwEFHooeP8cWMacZNUCZr0CtFXn5ciZqGQM97kGXW0tnBjTAublS3wmeO3xG7ZvLN2akDOoaJraE1Aob6g9Hc11UMpxUXBrsELJIrhbqwMyAAAgAElEQVQwxVmjNpEzsnPRfFEgXmvg4QHN/b9RdTyXct5QHYrqaanUYmN76CPMPn4X5UoY4PwkZxTVV53fPcqOEObmo/XvZ/AhK5ftE1/DuLiyTSB9GkhAajlDA5dAsi5zjo1DQ4HbB4BWcwG7sZL163uGDd1xFf73UtDXpioWdq2rkj6Q0dIj4BMej5lHo2BsZMAezDbU15WekTxZxDlv8KSXxBABIqB6BGgDXfXWjCwmApwIKPRQkJsDzCvzSd+kB0BxY066xRr8LiMbLVcEI+VtJkY518DkNub/MeVZ6kd2s4HZXI+Z3w7af99MF8te0ksEpEZAobwhNWfIHt4ISDkuuq4LxY0nqZjUujZ+c9G8EoYF5eubVS+NfcNseVtzEkQEFCUg5byhqG80XzECUooNZkO49coQxD5/j3luVnD/u+2TYh6q9+x2qy+wveK3DmwMF/Ny6u0seScJAlLKGZIAQkZ8JsA5NgLmAheWA02GAh2WqxzJuBfv4boiGPn5oENMKrd60jY4KyePfZf65HW62lfj4Zw3pL10ZB0RIAICEqANdAHhkmgiIAUCCj8ULDYDPr4BRl4CTCyk4FKhNsw6egc7wx/DrIwhTo9zQBG9/94gyc7NQ50ZfsjLBy57usLEqEihMmkAEdAkAgrnDU2CpUG+SjUubiemodMfF6Gno4Wwaa7siXlN+zAHw+yXBCE3Lx9+Y+1hUeGfqiuaxoL8lRYBqeYNaVHSTGukFBu3ElPR+Y9QthTulRktUaKInmYuCgevf911DX53kvF7J0sMsqvGYSYNJQLyEZBSzpDPA5olFAHOsXFtB3B8DFCzFfDzQaHMEkzujL9uY9elJ2hpYYLNA5oIpocEayaBo5FPMXZfJIwMdBEyxRml1LQ9AOe8oZnhQF4TASLA1GXOZ45b04cIEAG1JaDwQ8HaxsCrWGDAcaCag+Q5MeXZe3iHsadx9wy1QfOaZb9qs81Cf/aG+rHf7PBj5R8k7xcZSASUSUDhvKFMY0mX0ghINS4mH7iJA9cS4Va/Ilb3bqA0HlJTNHL3NZy6nYw+TavAq9uPUjOP7NFQAlLNGxq6HJJyW0qxUXD4tnO9iljTR3O/R7gEiJffPWwIjsPA5maY3dmKy1QaSwTkIiClnCGXAzRJMAKcYyPuPLDTDShbG/jtimB2CSH4zYcs2C4KQEZ2Hvb+0gy2Nf6uGCmEMpKpkQTy8vLRfs0FRCe/w3CH6pjeXjUuUnFdLM55g6sCGk8EiIDaEKANdLVZSnKECHydgMIPBVvbAk/CgR7bAOtuksbMlBvqtPYi7qe8Q49GlbHsp3rftLfLn6GITEjFBvdGaGNVXtJ+kXFEQNkEFM4byjaY9CmFgBTjgnmJ1MwrAJk5eTj0qy0amZZWCgspKrn86DV6bghHET1tXJruih8M9aVoJtmkYQSkmDc0bAkk665UYiMzJxdNFwQg7WM2dg5uCofaqtGySuyF3Xv5CaYfvg3nOsbYNqip2OaQflUksKs7ULIK4DgVKFGhUA+kkjMKNZQGKJ0A59h4HQesaQDoFgE8kwEtLaXbLK/CtQGxWH4uBtaVSuD4by2gpUK2y+szzVM+gaDo5xi0/Qpbmef8ZCdUKFlU+UYIrJFz3hDYHhJPBIiAdAnQBrp014YsIwK8EFD4ocD3Z+DecaD9MqDpL7zYJJSQP4MeYOmZ+yhdTB8BExy/W2qooOzg7E6WGEhlB4VaEpKrogQUzhsq6jeZ/X0CUoyLjSEPsfBUNKwqlsCJ0Zr9EokpKtV+zUW2J+30duYY7liDQpoIiE5AinlDdChkAEtAKrHhdzsJv+6+jvIliiB0mgt0tFVnI0XMUAp78BJ9N0egetliCJzkJKYppFsVCaQmAKusAS1tYMojoGjhFeGkkjNUEbe628w5NnKygAXlgPw8YGIMYFROJRBlZOeixeIgvHyfidW968OtfiWVsJuMVD0CzO/KXhsu4XL8a7WtbsY5b6jeMpLFRIAI8ESANtB5AkliiIBUCSj8UHB8HHBtG+A4DXCeLlU38ejlB7RZFQLmFvqqXvXRpcH3f0zMOR6FbaHxGO5YHdPbqWdJIskuFhkmeQIK5w3Je0gGykNAanHB9Pt2XnYeT16nY3H3uujVpKo8bqnVnP1XEjDl0C1U+qEo27OONoLUanlV0hmp5Q2VhKimRkslNoZsv4KA6OcY6VQDU9qaqylt/t16mvoRdosCoaejheh57ej7hn/E6i3x+k7g2GigclNg6DmZfJVKzpDJWBqkVAJyxcYKK+BtIjDkHFBFNapo7L+agCkHb6FCySLsc76ejrZSOZMyzSJwNf41eniHs9/vZ8c7oIZxcbUCIFfeUCsC5AwRIAKyEqANdFlJ0TgioKIEFH4oCJwPhCwFmgwFOiyXJAXmdGTfTREIj3sF+1pl2fKLhZWyKri1qOk9cyW5oGSU6AQUzhuie0AGCEFAanERGJ2CwduvomRRPbZkeVF9HSHcVimZzM0UW68AvEnPphYlKrVy6mus1PKG+pJWPc+kEBvP32XA1isQzIGsgImOavdyWMioYJhZzDyNrNw8XJjijCqlDYVUR7LVjcD+AcDdvwCn6YDTNJm8k0LOkMlQGqR0AnLFxrb2wONQoPsWoG4PpdvMVSHzzqvtqgtsu0KqNMWVHo2Xl8DQHVfgf+85OtStgD/7NZRXjCTnyZU3JOkJGUUEiIDQBGgDXWjCJJ8IiExA4YeCS97A6amAZReg5w6Rvfm6+gNXEzD54C227+vZcY6oWqbwFzjHbj7DmL030LRaaewfbitJv8goIiAWAYXzhliGk15BCUgtLgZuu4zz919gaItqmNHRUlDfVUn44tPRWH/+IWyrl8HeYc1UyXSyVQ0JSC1vqCFilXVJCrGxKSQOC07dQ4OqP+DISDuVZSmW4a7Lz+Phiw/YPdQGdjXLimUG6VU1Anm5wJLqQEYqp9u/UsgZqoZaU+yVKzaO/Arc3AO4zAQcJkkeVXDMCwzYehnF9HUQNt2VPUBMHyIgNIHo5Ldot/oC8vOBY7/Z4cfKhbfbENomvuTLlTf4Uk5yiAARUCkCtIGuUstFxhIB7gQUfii4fRA4NAQwbQEMOsndAIFnMP2fWq4IRmp6NqeTuFfiX+Mn73BULW3Ilr+iDxEgAv8QUDhvEEy1JCCluHj86gOclp1nf8yfn+QEs7LF1JK5PE4xZXXtFwciLx84M84BdcobySOG5hABXghIKW/w4hAJ4Y2A2LHx79t8C7pao5+NKW++aYqgwduvIDD6OYifpqw4T34mXgU2uwIGJYEpcYCOrkyCxc4ZMhlJg0QhIFdsBHkBwYuAhgOAzmtEsZuLUvctEbgQ+xKD7aphVic6OMyFHY1VjMAE30gcvvGUrfbpM8RGMWESmi1X3pCQ/WQKESACyiNAG+jKY02aiIAoBBR+KIg7D+x0A4zNgVERovjwPaXj9t3AX5HPYFmhBHsiUlfGPlCJb9LRYnEQ9HW0ET2vLbS1tSTnGxlEBMQioHDeEMtw0isoASnFxYKTd7HpwiM41THG9kGq0bdQ0MX5P+G/7roGvzvJ6NO0Kry61VWmatJFBP5DQEp5g5ZGWgTEjo07T9PQce1F6Otq44pnS7rNJ0d4zDkehW2h8RjuUB3T21vIIYGmaCSB4CVA0ALAojPQy0dmBGLnDJkNpYFKJyBXbETuAf76FajuBPQ/qnSbuShkbgEz5duZV1bBk6llBhd2NFZxAgmv0+Gy/Dyyc/PVquKMXHlDcZwkgQgQARUkQBvoKrhoZDIR4EJA4YeC5DuAtx1gWBaY8pCLasHHFpSxYn5IMGUX61WRvZxQVk4e6sz0Y28vXp3REmWLGwhuLykgAqpCQOG8oSqOkp2cCEglLpg+3zYLA5D2MRtbBzaGi3k5Tn5owuBLca/Qe+MltrVJxPSWKGlIZR41Yd2l6KNU8oYU2Wi6TWLHxuxjUdgeFo+OP1bAH33Vq6+nsmJre+gjzD5+F22symGDe2NlqSU9qk5ga1vgSTjQcRXQeJDM3oidM2Q2lAYqnYBcsRF/EdjeAShVDRgbqXSbuSicdOAmDl5LVMs+1Fw40FjxCBQ8M9WrXBJ/jbKDlpbqX0CSK2+ItwSkmQgQAREJ0Aa6iPBJNRFQBgGFHwreJQPL6wBa2sDMV4C2tjLMLlRHelYOWq8MQeKbj3KXsWqywB8v3mXixOgWsK5UslCdNIAIaAoBhfOGpoDSMD+lEhfXHr9G9/XhMDYywKXprtChCiJfRCJTmpjpVxed/A4e7c0xzKGGhkUruSsVAlLJG1LhQXb8Q0DM2GAO0tos9Meb9GxsH9QETnVMaGnkIBB0/zkGbbsC8/JGOD3OQQ4JNEXjCGSkAYurAfm5wNhbQCnZWyeImTM0bp1UzGG5YiM1AVhlDWjrATNSAG0dSXr9/G0G7BYHsrd/j4xsjgZVS0nSTjJKvQkw700dlwYhPSsX6/s1RLu6FVTeYbnyhsp7TQ4QASIgDwHaQJeHGs0hAipEQOGHgtxsYF7ZTx5PjgOKlZGE916n7mFDSBwq/VAUZ8c7oJiBbL3T/m185z8u4lZiGjb1b4xWlnSDURILS0ZIgoDCeUMSXpARfBOQSlz4XnmCqYduq10fNr7Xa9/lJ5h2+DYqlyrKlnukgwZ8EyZ5shCQSt6QxVYao1wCYsbG6TvJGLHrGsqVMEDYNDqIJe/Kx714D5flwTDU10HUnDZqcSNNXhb/P4+pllNET5obcnz5KJeceycA335AmZrA6GucRIiZMzgZSoOVTkCu2MjLBeabAHk5wPgooGRlpdsti8KlZ6LxZ9BDNDYthYO/NpdlCo0hAoIQWHH2PtYEPkB142I4O85B5vaZghjDg1C58gYPekkEESACqkeANtBVb83IYiLAiQAvDwWLqgLMafGREYCJOSf9Qgxmeha6/RmK3Lx8hcr3Dtt5FWfvpmCemxXcbc2EMJWTTObGoDqUQuLkNA2WJAFe8oYkPVM/o9atW4elS5ciKSkJVlZWWLVqFezt7b/paGpqKjw9PXH48GG8efMG1apVw/Lly9G+fftC4UglLhaeuoeNIXEYZGeG3ztZFWq3pg74mJUL20UBSE3Pxkb3RmhtVV5TUZDfIhKQSt4QEQGp/gYBMWNj6I6r8L+XghGONTCtnfi/bVQ1SJib/OYz/ZCXD1z2dIWJURFVdYVXu4/cSMTE/Tcxx80a7s1kv2HNqxFSFXZiPHB1K9B0GNB+KScrxcwZnAylwUonIHdsrK4HvIkHBvkBptLbnGaqLjZfFMg+y3v/3BBtrVX/1q/Sg4MU8kbgXUY2HJYEsdV7Fnevi15NqvImWwxBcucNMYwlnUSACIhKgDbQRcVPyomA8AR4eShY2wh49QAYeBIwayG80d/RkJObh67rwnD7aRo6/FgBfyrQs7Cgj89IpxqY0lbcl2cBjwMwI3QGxjcaj551eorKmJQTAV7yBmEUnICvry/c3d3BbKLb2dlhw4YN2Lx5M+7evYuqVb/8QZuVlcWOMzExgYeHBypXroyEhAQYGRmhXr16hdorlbgYvP0KAqOfY34Xa/xML6a/u26L/KLhHfwQdjXLYPfQZoWuMQ0gAnwTkEre4Nsvkqc4AbFigylD2swrgD2I6z/BATVNjBR3RoMltFgcyLbUOjDCFk3MSmswiX9cH7X7Ok7eToKBrjbOjHOAWdlixKWAQMGGZR9foE5bTlzEyhmcjKTBohCQOzZ2dAYeBQNdvIH6fUSx/XtKfcLjMfNoFEzLGCJwohNVk5LcCmmeQZsvxGH+yXuoULIIgiY5qXSlFbnzhuYtO3lMBDSeAG2ga3wIEAB1J8DLQ8GWNkDCJeCnHYBVF1GRFTywGRXRRcBER4VuOjCbCszmQtcGlbCyV31R/XI/5Y7IF5HQ1tLGetf1aF5JeiegRQVEypVKgJe8oVSLNVOZjY0NGjZsiPXr138GYGFhgS5dusDLy+sLKN7e3uxt9ejoaOjp6XGGJpW4YE6+P3mdjn3DmqFZdWm0FeEMU0kTEt+kszcFmNuBTLuT2uVoo0hJ6EnN3wSkkjdoQaRHQKzYKPgtUa/KDzg6yk56YFTMop83R+Dig5dY9lM99GgkzRLIykbaemUwYlLes2qbVS+Nvb80oypjDIzXccCaBp96Tk+NBwyKc1oasXIGJyNpsCgE5I6NY6OB6zsBp+mA0zRRbP+WUuaQl+vy84h/lY45na0woLn4FRMlBYiMEYUA057EZdl5PEvLgGd7C/ziUF0UO/hQKnfe4EM5ySACREClCNAGukotFxlLBLgT4OWhYF8/IPoE0GE50GQodyN4mpHwOh2tV4bgY3YuvLrVRZ+mipUMOhr5FGP3RbIvNvYNs+XJSu5inr1/hjaH2nyeaKRnhF0ddqF6SdV9GOVOgWZIiQAveUNKDqmhLcxtckNDQxw4cABdu3b97OHYsWMRGRmJ4ODgL7xmyrSXLl2anXf06FEYGxujb9++mDp1KnR0Cu/TKYW4YH60W8w6jfx84IpnSxgbGajh6vLr0gifazgdlYy+NlWxsGtdfoWTNCJQCAEp5A1aJGkSECs22q2+gHtJbzGvC5XX5iMyPI7cxp6IJxjtUhMTW9fhQ6TgMlIzUqGvow9DPUPedWXn5sFy1mlk5+ZDT0eL/Tcfv1t5N1QMgZc3AacmAWb2wMATnC0QK2dwNpQmKJ2A3LERshQInA/U7wd0Wad0u7+n8ExUMob7XEPJonoIn+4CQ31dSdlHxmgugf1XEzDl4C38YKiHkCnOKFGE+8F8KdCTO29IwXiygQgQAaUSoA10peImZURA+QR4eSg4Nga4vgNw8gCcpirfCQBMf/BB26/g/P0XaGrGbHg3g7a2lkK2RMS9Qq+Nl2BWxhDnJzsrJEuRyVtub8Gq66vQ0KQh8pGPG89voKpRVezpsAclDUoqIprmEgG5CPCSN+TSTJNkJfDs2TNUqlQJoaGhaN78n4oVCxcuxI4dO3D//v0vRJmbmyM+Ph79+vXDyJEjERsbi1GjRoHZdJ81a9YX4zMzM8H8U/Bh4qJKlSpIS0tDiRIlZDWV13HMpgez+cG8TIqc1YpudMlAN/zhK/TZdAlF9XRwaborShqq5ksOGVylIRIkQN8nElwUiZgkRmxEPUtDhzUXoa+jzR7ConyoeDBsDHmIhaei0bleRazp00BxgQJJyM7NxvnE8zgcexhhz8JQuXhlHO1yFLra/G5KPXj+Di1XhKCYvg7Gt6rNlro1MtDFuQmOKF9Sw3vE7+0L3D8JuM4C7CdyXmkxcgZnI2mCKATkjo1bB4DDQwHTFsCgk6LY/i2lPb3DcTn+NX51qoGpIrcblBQYMkZ0AkxbzbarL+DB8/cqdXju/8HJnTdEXwEygAgQAWUToA10ZRMnfURAyQR4eSgImAtcWA40HQa0X6pkDz6pO37zGUbvvcG+8Do1tgUv/QqfvEqHw9Igtj9d9Ly2om3EdD/WHTFvYvC77e9wruKMPif7IOlDEmwq2GB9y/XQY8rc0YcIKJEAL3lDifZqoqqCDfSwsDDY2v5TQWPBggXw8fFhy7T//6d27drIyMjAo0ePPt84X7FiBVvWPSkp6Yvxs2fPxpw5c77472JuoJ+49Qy/7bmBRqalcOhXanUhS+wzB9CYQwfRye9UvtSeLP7SGGkRoO8Taa2HlKwRIzbmHI/CttB4dKhbAX/2ayglHCpry+k7yRix6xrqVS6Jo7+1kJwfcalx7Kb58bjjeJ3x+j/2nep6ClVKVOHVZr/bSfh193WWx+GRdui2Pgw3E1LR0qIcNvVvJNrvTV6dlEdYbjawuBqQ9Q4Ydh6oyP2whRg5Qx5XaY7yCcgdG08igK2tgZJVgPF3lG/4NzQyOcPtz1C2isXFqS4oV0LDD99IZmXIkAICBd/9zAFt5ha6KlaFkztvUBgQASKgcQRoA13jlpwc1jQCvDwUhK8DzkwHrLoCP21XOkKmZG+LxUF4+T4T41rWwriWtXmxITMnF3VmnGZl3ZjZCqWK6fMil4uQh6kP0eVoF/b2w/me59kb5/df34e7nzs+5nxE7zq94dnMk4tIGksEFCbAS95Q2AoS8D0C8pRwd3R0ZHuf+/v7fxbt5+cHprQ7c9NcX/+/OVCKN9BX+cdglX8sejaujCU96lGQyEhg7+UnmH74NqqULorzk5yho2AFFxnV0jAiAPo+oSD4FgFlx0ZWTh6aeQXg9YcsbBvYBM7mJrQ4PBCITn6LtqsusKVcI2e15kGi4iLSs9NxOv40u3F+88XNzwKNixqjc43OOBN/BonvE7HOdR3sK9srrvBfElb7x2Klfwy6N6yM5T3r4X7yO3Rce4Et5f5H3wbo+GNFXvWpjLDHYcC2doBhGWDSA0Bbm7Ppys4ZnA2kCaIRkDs23iUDy+sAWtrAjOeAjjQuLvy25zpO3EpCt4aVsKJnfdG4kmIi8C0CzAHtLus+HRAbYGuKOW7WKgdL7ryhcp6SwUSACChKgDbQFSVI84mAxAnw8lBQUNpKzn5liiIKjE7B4O1XUa6EAXu60UC38F69supsPP8cXr7PwskxLWBVUfnl0tfeWIuNtzbCqbIT1rqu/Wx24JNAjAsax5Z0n2EzA73Me8nqEo0jAgoT4CVvKGwFCSiMgI2NDRo1aoR16/7p2WdpaQk3Nzd4eXl9Md3DwwN79uxBXFwctP9+cbl69WosXrwYzI32wj5SiIuCF0oe7c0xzKFGYSbT3/8m8DErl904SvuYjU39G6OVZTliQwSUQkAKeUMpjpISzgSUHRtno5IxzOcae0sqfJoLdHW4b+BxdlIDJqRn5cBy1hnWU6a1yg+Gyj+QzOhmXuYzm+VHHhzB6UenkZ6Tztqko6UDh8oO6FarG1pUasEeWh4fNB7+T/wxrek09LPox+sqFTynTG9njuGOn55TVp6LweqAWJQtro9z4x1FObTNq5PyCGP6TDP9pq17AD22yCOBDmTJRU0zJsn9fZKfDywoD+RkAGMigdLVRAeW+CYdjkvPIzcvH6fG2MOyojhts0QHQQZInkDYw5fouymCrZQQMMEJVcsYSt7mfxsod95QKS/JWCJABPggQBvofFAkGURAwgR4eSh4GAj4dAVMLIGR4Ur3lrk1x9yec29minld+D3ZyNwIuPP0LbYMaAxXC+VuKDAvetofbs/egFhsvxjtq7f/D9vNtzdj9fXV7IufDa02sCXd6UMElEGAl7yhDEM1XIevry/c3d3h7e3NlnHfuHEjNm3ahKioKJiamqJ///5sn/SCzfSEhAQwG+wDBw7E6NGj2R7ogwcPxpgxY+DpWXilCynEBVOKnOmDLkbOVvVw8zp1DxtC4tCiZlnsGkrfJ6q+nqpivxTyhqqw0jQ7lR0bw3Zexdm7KRjmUB0e7S00Dbeg/jZd4I/n7zJxdJQd6lX5QVBd/y+cKct+/OFxHIk9godpDz//2bSEKbrW7MreODc2NP7PtFXXVmHLnS2CVPpquyqEbZmydWBjuJh/+m3JVD3ruOYiYp+/19wbpRudgWfXAbd1QAP5Di0oO2coNZBJmUIEFIqNtY2BV7FA/2NAdUeF7OBj8vwTd7H54iPY1SyD3UOb8SGSZBABwQi4b4nAhdiX6FK/Ilb15t6aQzDDZBCsUN6QQT4NIQJEQH0I0Aa6+qwleUIEvkqAl4eCpFvABnugmAkwOVappPPy8mG7KAApbzOxY3BTONb+7wsQRY0ZuuMq/O+lYH4Xa/zczFRRcZzm335xG31P9UVR3aJs+XZDvf+e2GQ22KdfnI6TcSdRQr8E9nbYi6olqnLSQYOJgDwEeMkb8iimOZwJMLfPlyxZwvYwt7a2xsqVK+Hg4MDKcXJygpmZGbZv/6f1Rnh4OMaPH4/IyEh2c33IkCGYOnXq557o3zNA7LhgbmJYzjqNzJw8BE92gmmZYpx5afKEhNfMjZYg5OUD58Y7oFY5I03GQb4riYDYeUNJbpIaOQgoMzZevc+EzcIA5OTl48w4B9QpT/lPjiX75pSfvMNwJf4N1vRpgM71hC9RnpuXi7BnYext86CEIOTk5bC2FdEpgtZmrdmN80blvt1vnNlsnxU2C7YVbLGx9UbeUOTk5rG38bNy83BhijOqlP7nt931J2/QfX0YmAuv2wc1gVMdDWohkP4aWFKdqRMATIgGSlSQi7kyc4ZcBtIk0QgoFBu7ugMP/IHOa4GG/UXzgVH8NiMbzb0C8T4zB9sGNYGzJuUJUcmTcnkJ3E5MQ6c/LkJLCzg5WrUqJiiUN+QFRvOIABFQSQK0ga6Sy0ZGEwHZCfDyUPD2GbDCAtDSAWa+lKtnmewW/3fkrcRUdP4jFMX0dXB9Vitey7czmmb+dQc+lx7jN+eamNSmjrxmyjVv8eXF2HVvF9pVa4clDku+KiMzNxODTg/C7Ze3Ub1kdexqvwtG+vTSTy7gNElmArzkDZm10UBVISB2XDx5lQ6HpUHQ19XGvbltqY+3HIFTcAPz52ZVMb9LXTkk0BQiwI2A2HmDm7U0WpkElBkb20IfYc7xu/ixckkc+62FMt3UCF2TDtzEwWuJmNiqNka71hLM58R3ifjrwV/sPynpKZ/1WJexRtdaXdnfVLL8Trrx/Ab6+/VHxWIVcabHp/LzfHwevngP1+XBKKqng6g5baCtrfUfsXOP38XW0Eeo9ENRnBnvgOIGunyolb6MO4eAg4MVrmanzJwhfahk4b8JKBQbJ8YDV7cC9pMA15migt0UEocFp+6hlklxnB3vAC1mV5I+REDiBEbtuY6Tt5LgYm6CrQObSNzaf8xTKG+ojJdkKBEgAnwQoA10PiiSDCIgYQK8PBTkZALz/z4lP+URYFhaaR6vOHsfawIfoJ11eaz/uRHvev8MeoClZ+6je8PKWN6zHu/yvyWQuTnR8mBLvPz4Emtd1sKpijAYRQIAACAASURBVNM3db9If4HeJ3vjefpz2FWyw58uf0JHm78+8EpzmhSpDAFe8obKeEuGykpA7LgIin6OQduvwLy8EU6P+3TLnj7cCBT0qmNe7l/ycEXJonrcBNBoIsCRgNh5g6O5NFyJBJQZGx3WXEDUs7eY62aF/rZmSvRSM1StDYjF8nMx6NGoMpb9xO/vKeYwccDjABx+cBgRSRGfgZY0KImO1Tuyt83rlOZ2CJop++7o6wgtaOFyv8sooluEl4U6fScZI3ZdQ91KJXF89JcHNZh+8a1XhiDxzUcMbG6G2Z2teNEreSFHRwE3dgG2vwFtFshtrjJzhtxG0kRRCCgUGxdXAf6/A3V7At03iWI/o5SpYOGwJAjP0jKwqFtd9G5KlQdFWwxSzIlA3Iv3aLUyBEy1uP3DbdG0mvLeF3My9P8GK5Q3FFFMc4kAEVA5ArSBrnJLRgYTAW4EeHso8KoKZKYBo64AxrW5GaHA6ParL+Bu0lss/6keujeqrICkr089ciMR431vKr3HFPMCaOjZoWxpdqZ8u57O9zcxol5FYaDfQGTkZqC/ZX9MbjKZdxYkkAgUEOAtbxBStSIgdlwU3Mro8GMF/Nm3oVqxVZYzTGuQtqsu4H7KO8zoYIGh9kxJVfoQAeEIiJ03hPNM/SQzLUGWLl3KtgSxsrLCqlWrYG9v/01HU1NT4enpicOHD+PNmzeoVq0ali9fjvbt28sER1mxcffZW7RfcwF6Olq47NESpYrpy2QfDZKdwLGbzzBm7w00MSuFAyOayz7xOyPvv76Pw7GHcSLuBN5mvf08kim73q1WNzhXdYaBjoFcupjvQru9dniX/Q6HOx9GrVL83Jr/IzAWy87GoFuDSljRq/5XbbsQ+wLuWy6z5W4PjrBFI1PV2GiQCzQzialZv9IKePsU+PkwUNNVblHKyhlyG0gTRSOgUGxEHQEODASq2ABDzormQ0EeLVtcHxenuqCIHl2YEG0xSDFnAtMP38bey0/Q2JR5DrBVieoJCuUNzoRoAhEgAqpMgDbQVXn1yHYiIAMB3h4K1jQAXscBg/wAU35ejBRm/tPUj7BbFAim+t3VGa1QWoAXXuEPX6HPpkuoXrYYAid9+xZ4YbZy/fvssNk4FHsI3Wt1x+zms2Wafib+DCYFT2LHzm0+ly1VSB8iIAQB3vKGEMaRTNEIiB0X0w7dwr4rCRjrWgvjWynvIJdowAVSvCfiCTyO3EbV0oYImuREpfAF4kxiPxEQO2/QOshGwNfXF+7u7mA20e3s7LBhwwZs3rwZd+/eRdWqX96Cy8rKYseZmJjAw8MDlStXRkJCAoyMjFCvnmw3kJUVG/NO3MWWi48Eq2YlG2H1HnUzIRVuf4bCxMgAlz1bKuRs7JtYzAydCebwcMGnfLHy6FKzC/tPpeKVFJJfMLnPiT648+oOVjqtREtTxWwukDl23w0cjXyGKW3rYKRTzW/aWVDyvoZxMZwcY6/eG2XPo4F1NgBzy39qPKBXVO71U1bOkNtAmigaAYVi4+k1YJMLULw8MOm+KD4wh3qYHHorMQ3jW9bG2Jb8HOoRxRlSqpEEktMy4Lg0CJk5edgyoDFcLcpJnoNCeUPy3pGBRIAI8EmANtD5pEmyiIAECfD2ULC5FZB4GejpA1h2VoqnO8PjMetoFK+3Gf7f8PiXH+C07Dzbq+7u3DZKOSmZlZsFp/1OeJf1Dltab0HTCk1l5rk+cj3W3VwHXW1dbG69GY3K8V/WXmZjaKDaEuAtb6gtIc10TOy46LE+DFcfv8GaPg3QuV5FzVwEHrxmSsg2WxiAtxk5KvOCgwe3SYRIBMTOGyK5rXJqbWxs0LBhQ6xfv/6z7RYWFujSpQu8vLy+8Mfb25u9rR4dHQ09PflaQSgjNrJz82DrFYCX77Mo3wkYlWnp2ag399PNTeb3lKG+/L2954TPwcGYg+xvHecqzuxtc+bWOd/tq6ZdmIaTcScxtuFYDK07lBc67VZfwL2kt9jcvzFaWn578yA1PQstV4Tg5ftMjHapiYmtuZWg58VYZQkJXwecmQ7UcAHcjyikVRk5QyEDabJoBBSKjQ+vgKV/V2TyTAH0+GnpwAVGRNwr9Np4CQa62gib5oIyxeWrrsFFJ40lAnwTWOQXDe/gh6hTzginxtpL/pC2QnmDb3gkjwgQAUkToA10SS8PGaeOBFS2POLePsD9U0DHlUDjwUpZGvctEbgQ+xLT25ljuGMNQXRmZOfCfOZpVvbNWa1R0lC+l4BcjAt6EoQxQWNgXNQY53qc4/RCKC8/D5ODJ+Ps47MoZVAKezvu5e0mBhcfaKx6E6AfE+q9vvJ6J2ZcMDczGsw7h9T0bJwaYw/LiiXkdYPmAVh46h42hsTBvlZZ+AyxISZEQDACYuYNwZxSM8HMbXJDQ0McOHAAXbv+U91o7NixiIyMRHBw8BceM2XaS5cuzc47evQojI2N0bdvX0ydOhU6Ol8vO5uZmQnmn4IPExtVqlRBWloaSpQQJqf7303B0J1XUba4AcKnu0BPR1vNVk867tSfe5b9jj49zh7m5eVfz8FnBuNK8hXMt5sPt5pugjm4/uZ6rItcx95qn2c3T2E9TO9Xi1mnkZWTh+DJTjAtU+y7Mv1uJ+HX3dehq63F9ku3qCA/M4WNF1LAru7AA3+g9Xyg+WiFNNH3iUL41HqyQrHBtBnwqgxkvQd+uwqUVf7t7192XsW5uyno07QqvLrVVeu1IufUlwBzmM5+SSB7SHtlr3ro2oD/Fpx80lMob/BpCMkiAkRA8gRoA13yS0QGqhMBlS6PePQ34IYP4DwDcBS+//a7jGw0nHcO2bn5CJjoiBrGxQULhQZzz+INDy98ZDVwSvAU+MX7wd3SHVOaTJF12udxH3M+YoDfANx7fY/t2efTzgfF9L7/koazEpqg0QTox4RGL/83nRczLl69z0Sj+f5sz9B7c9uqd7lTJYRfwut0OCwNYluT+k9wQE0TIyVoJRWaSEDMvKGJvOXx+dmzZ6hUqRJCQ0PRvPk/bZoWLlyIHTt24P79L0vampubIz4+Hv369cPIkSMRGxuLUaNGgdl0nzVr1lfNmD17NubMmfPF34TcQB/hcw2no5IxtEU1zOhoKQ8emiMjAbc/LuJmYhq8f26EttblZZz15bCWB1oiJT0Fu9rvQj1j2doByKPM75EfpoRMQQOTBtjZbqc8Iv4zp6CqGXOD9O7ctjLdvBvucxVnolLwY+WSOPxrc+iq2wGP7AxgsRmQ8xH4NRwop9j/g/R9onCYqq0AhWNjnS3w/C7w8yGgJj8tHWSF/ejlB7gsP//3M7kjapoI995LVptoHBGQl8C68w+w5PR9VC5VFIETnaCvK92DiwrnDXkh0TwiQARUjgBtoKvckpHBqkxApcsj+s8BLq4Amg4H2i8RfBlO3U7CyN3XUa1sMbZHq5CfgnJ72wY1gXMdEyFVIT07HY6+jsjIzcDeDnthXdZaLn3JH5LR52QfvPz4Ek5VnLDaeTW0taT7cCqXkzRJNAL0Y0I09JJWLGZcFJQ2rFK6KC5McZE0J1UxruC2i3szU8zrIt93kar4SnaKR0DMvCGe16qluWADPSwsDLa2tp+NX7BgAXx8fNgy7f//qV27NjIyMvDo0aPPN85XrFjBlnVPSkr6KgBl30B/8yELTRf6s4dx/cbaq+8NX4mE25i9N3Ds5jN4tDfHMAf5Kodl5GSgye4mrEchvUJQqkgpwby7++ouep3ohdJFSiO415dVFrgqPhuVjGE+12BZoQRbulaWz/O3GXBdEYx3GTnwbG+BXxz+LiMty2RVGBN3Htjp9qm39MRosKcgFfjQ94kC8NR8qsKxsac3EOMHdFgBNBmiVFoz/rqNXZeewNXcBFsGfsp/9CECqkrgY1Yu2wv9+btMzOlshQHNzSTrisJ5Q7KekWFEgAjwTYA20PkmSvKIwDcIqHx5xPA/gTMegHV3oMdWwdd5gm8kDt94il/sq8Gzg2Kn1Qszdsj2KwiIfo6FXeuir03VwoYr9Hem1x7Tc6+KURWc7HpSoZ7rt17cwqDTg5CVl4Uh1kMwrtE4hWyjyUSggAD9mKBY+BoBMeNiT8QTeBy5Dec6xtg2qCktEA8Ewh68RN/NETDU18ElD1eUKCJ8CxMezCYRKkZAzLyhYqhEM1ee3yiOjo5s73N/f//Pdvv5+YEp7c5slOvr6xfqj9CxsSMsHr8fi4J1pRI4MVq2Dc1CjaYB3ySw/Ox9rA18wP6WYn5TyfOJfROLbse6wUjfCKG9QxX6nVSY/g/ZH9BsTzN22MXeF1HSoGRhU7779z+DHmDpmfvoUr8iVvVuILOs/VcSMOXQLRTR08bpsQ4wK6tGVcXOzgTC1gD1+gJd18vM5FsDhc4ZChtIAkQjoHBsnJoCXN4A2I0FWs1Vmh/MQS/bRQHIyM7D3l+awbZGGaXpJkVEQCgCuy49xoy/7qBscX0ET3ZGMQNdoVQpJFfhvKGQdppMBIiAKhGgDXRVWi2yVaUJqHx5xJu+wJFhQDVHYMAxQdciJzcPjRf4s330fIc1g011YX9IeB65jd0RTzDGpSYmtK4jqG+/BfyG4MRgDP9xOH5r8JvCuk7EncD0C9NZOQtbLESnGp0UlkkCiAD9mKAY+BoBMeNi7vG72Br6iMrw8hiaTF/5NqtCEJPyHjM7WmJIi2o8SidRROATATHzBq2B7ASYKlmNGjXCunXrPk+ytLSEm5sbvLy8vhDk4eGBPXv2IC4uDtranyogrV69GosXLwbzm0eWj9Cx0WntRdx+mobZnSwx0I7ymyxrosiYg9cSMenATbSoWRa7htrIJSrgSQDGBY2DVRkr7Ou4Ty4ZXCa57HfBi48vsKf9HtQ1lm/Tv0DfeN9IHLnxFJPb1MEo55oym8F8F/+8JQKhD17BtnoZ7PnFRtCDAzIbxsfA9S2AlNtA9y1A3R4KSxQ6ZyhsIAkQjYDCsVFwWcSqK/DTdqX58UdgLJadjYFVReagVwv1+X9faQRJkRQJZOfmoeWKYDx+lY4JrWpjjGstKZpJv1EkuSpkFBGQJgHaQJfmupBVakhA5csjPvAHdnUHylkDv4YKukKXH71Gzw3h+MFQD1c9WwreD67gh8tPjSpj6U/C9dpLzUiF835n5OTn4KjbUVT/gZ8yfauvr8bm25uhr62PrW23CtovUNCFJ+GSIaDwSwjJeEKG8ElAzLjov/UyQmJeYFG3uujdVNhKIXwyk7qs3RGP4XnkDkzLGCJoohO0tRUrryp1f8k+5RMQM28o31vV1ejr6wt3d3d4e3uzZdw3btyITZs2ISoqCqampujfvz/bJ71gMz0hIQHMBvvAgQMxevRotgf64MGDMWbMGHh6esoEQsjYuJ/8jj0gpKejhQiPlihdrPAb8TIZTYO+SeBK/Gv85B3O9j29OFW+Vivb7mzDimsr0K5aOyxxEL5lGFPJ62rKVV4OIXdcewF3nr7FBvdGaGPFrQf8k1fpaL0qmL2FqjbPOe9SgOW1AWgBkx8Axcoq/H+PkDlDYeNIgKgEFI6NeycA335AxYbAsCCl+JKZk4sWi4Pw4l0mVvWqjy4NKilFLykhAsogwLR0YVq7FDfQRfh0FxhJsNKZwnlDGSBJBxEgApIgQBvoklgGMkITCKh8ecRnkcBGx089zCbdF3TJFp66h40hcejaoBJW9qovqC5GeMGNCftaZeEzRL4bE7IYeSDmAOaGz0WdUnVwsPNBWabINCYvP4+9rRGUEIQyRcqwNzbKF+P24kYmRTRIYwjQjwmNWWpOjooZF3aLAvE09SMOjLBFE7PSnOymwd8mkJ6Vg2YLA/A2IwdbBzaGi3k5wkUEeCUgZt7g1RENEMbcPl+yZAnbw9za2horV66Eg4MD67mTkxPMzMywffs/N/PCw8Mxfvx4REZGspvrQ4YMwdSpUz/3RC8MmZCxUfBboo1VOWxwb1yYKfR3Hgg8f5eBpgsCwJzDip7XDvq6nyoTcPnMCZ+DgzEHeavUVZju2WGzcSj2EEbUG4FR9UcVNvybf8/Ly4fl76fZDfCgSU6oJkcZ9s0X4jD/5D0YGeji3ARHlC9ZRG57JDHx5j7gyHCgQn1guOI95hmfhMwZkmBGRshNQOHYSLoFbLAHDMsCUx7KbQeXifuvJmDKwVsoX6IILkx1hp4O95zJRR+NJQLKJMB8L9otDkRSWgb2D7dF02rS+/2ucN5QJlDSRQSIgKgEaANdVPykXNMIqHR5xLREYKUVoK0LzHwJaAl3S81l2XnEvfyAP/s2RIcfKwgeJqEPXqLf5gjUNCkO/wmOgukbfGYwriRfwfhG4zHYejCvetKz0+Hu546YNzGwKG2B7W23w1DPkFcdJExzCNCPCc1Zay6eihUXzCav5awzrKk3ZrZCKbpJyGXZCh274ORdbLrwCA61jbFzMPWXLxQYDeBEQKy8wclIGiwKAaFig2kF1cwrEC/fZ2JT/8ZoZUkHg5SxwEwpcqvfzyA9KxeBEx1R3bg4Z7VDzgzB5eTLvNwIl0X59jvbsfzacrQza4cljvLfeGdukDssDWIPDdyd00au6mm5efnotj4MNxNS2Zjd6N5Itcs5Hx4G3PIFWkwAWv4uy3IUOkaonFGoYhogeQIKx0ZGGrDo7wpX058CBtzzFxdITL5su+oC7qe8w7R25hjhWIPLdBpLBFSCQN9NlxD28BWW/1QP3RtVlpzNCucNyXlEBhEBIiAUAdpAF4osySUCXyGg0uURszOABX+/gJoaDxQtJcgaP3zxHq7Lg9mSi9dntlJKqZ+4F+/hsjyYLS90Z04bQfxK+ZCCVgdbIR/5ONv9LCoU5/9gwLP3z9DnZB+8zniNVqatsMxxGbS16CSzIAuq5kLpx4SaL7Cc7okVF3eepqHj2osoU0wf12a2ktN6mvYtAsyLf8dlQcjPB3uIjDlMRh8iwBcBsfIGX/aTHOEICBUbgdEpGLz9KvudccnDlW71CbeEX0huuyoE0cnvsG1QEzjXMeGsmfmtlPwhGT7tfFDfRPgqZEFPgjAmaAx7+Hh/p/2c7S2YEHAvBUN2XIV5eSOcHvepaoM8H6b1AFMKPjs3X2kHyeWxs9A5eXmfyrd/eAEMOAFUsy90iiwDhMoZsuimMdImwEtsLDIFMlKBX8OBcpaCOsy0pWLaUxXT10HYdFeULKonqD4STgTEIDDt0C3su5KAsa61ML4V09JDWh9e8oa0XCJriAAREIgAbaALBJbEEoFvEVDp8ogLKwNZ74DfrgFlawqyyBtDHmLhqWgIXU7938b/+3bjrdmtUUKA/jw7onZg2dVlaGDSADvb7RSEHSP0esp1DDk7BDl5Ofjd9nf0qN1DMF0kWH0J0I8J9V1bRTwTKy6ORj7F2H2RaGpWGvtH2CriAs39BoGhO67C/14K+tuaYq6bNXEiArwRECtv8OYACRKMgFCxMXL3NZy6nYzBdtUwq5OwmyCCwVFRwcN9ruJMVApmd7LEQLtqnLzIyMlAk91N2DnBvYJRuojw5V7j0uLg9pcbDHUNcanvJblvfHsHP8Qiv2h0qlcRa/s04OT3/w9ecS4GawJiUba4Ps6Nd1TNqjsF5bD1igHMwXtdfYWYFEwWKmfwYhwJEZUAL7HhbQ8k3wL6+AJ12grqj/uWCFyIfYlBdmb4vZOVoLpIOBEQi8CfQQ+w9Mx9dGtYCSt6Cn8ojqufvOQNrkppPBEgAipJgDbQVXLZyGgiIDsBXh8KVtcD3sQDg88AVZvJbgSHkT29w3E5/jXmdLbCgOZmHGYqNrTenLNI+5iNs+MdULuckWLCvjK794neiHoVBU8bT/Q27827/H8LLChHWKFYBZzsehJ6OnSiWVDgaiic17yhhnw01SWx4mL52ftYG/gAfZpWhVe3upqKX1C/L8a+xM9bItibMOEeroIcJBPUAQBMOcyXH1+ibNGycm+CCG2jJsoXK29oImtV81mI2EhNz2L7cGfl5uHUGHtYViyhalhU2l6vU/ewISROrk2hB28eoOuxrjDSM0Jon1Cl5PHs3Gw03t0Yefl5CPwpEMaGxnLxn7A/EoevP8XEVrUx2rWWXDIKJmXm5KLjmouIff4e3RtWxvKe9RSSJ8rkiysB/9lA7bZAX1/eTBAiZ/BmHAkSlQAvseH7M3DvONBuCWAzXDB/opPfsuXbtbWA4MnOqFKa2u4JBpsEi0rg2M1nGLP3BpqYlcKBEc1FteVrynnJG5LzigwiAkRACAK0gS4EVZJJBCREgNeHgk2uwNOrQK/dgEVH3r18/SELjeefQ14+cHGqMyqXUt6PiYKSgzsGN4VjbflennwLyOO3j9HxSEfoaOkgsGeg4DcqmBsc7Q+3x4uPLzCz2Uz0rNOT97UigepNgNe8od6oNMo7seKi4DbhzI6WGNKC2402jVogBZxlNp9brQzBg+fvMaujJQarEOe0zDSciDuBgzEH8SD1AVyquGBBiwUork+l6BUICd6mipU3eHOABAlGQIjY8AmPx8yjUbCsUAKnxvJTNlowAGooeHfEY3geuQMXcxNsHfjpNrmsn4AnARgXNA6WZSzh25G/TdfC9Lc71A6J7xOxtc1WNCnPzeYC2Z3/uIhbiWnw/rkh2lor3qbr2uM36OEdxrZWEeK3aWFMFP77jk7AoxDeNyKFyBkK+0oCJEGAl9g44wmE/wE0GwW0XSiYX5MO3MTBa4loX7c81vVrJJgeEkwExCZw48kbdF0XhvIlirAtdaT24SVvSM0psocIEAFBCNAGuiBYSSgRkA4BXh8K9vQCYk4DHVcBjQfx7uSha4mYeOAmLCqUgJ+SX3oN3HYZ5++/wOLuddGrSVVefVt/cz3WRa6DXUU7eLfy5lX2t4Ttvrcbiy4vQvli5dlb6Po6/JTOU4rxpER0ArzmDdG9IQP4IiBWXLReGYyYlPfYPqgJnOToqcqX/+oux+fSY8z86w7MyhgicKITtJmrMRL9MBv+V1Ou4lDsIZyLP4esvKz/WFqtZDWsdl4N5t/0EZeAWHlDXK9JuywEhIgNtz8u4mZimsodBJKFlyqMCX3wEv02R6CGcTEETHTiZHJBBa12Zu2wxHEJp7mKDB7hPwKhT0Plbn2Vl5cP69lnkJ6VC/8Jjqhpws/hrTnHo7AtNB6VfijKVkgrZqCriJvKm5v1AVhsBuRm8d72TYicoTwwmqWJaVu4dOlSJCUlwcrKCqtWrYK9/bcPNaWmpsLT0xOHDx/GmzdvUK1aNSxfvhzt27eXCRwvsRGxEfCbDJh3BHrvlkkv10HP32bAbnEgsnPzcXhkczSsWoqrCBpPBFSGwKv3mWg03x9aWsC9uW1RRE9HUrbzkjck5REZQwSIgFAEaANdKLIklwhIhACvDwVHRwE3dgEuMwCHybx7WHDLcLRLTUxsXYd3+d8TOP3wLey9nIBxLWthXMvavOlmXvK7HXXDo7RH7I24zjU68yb7e4IyczPB3KhgbqHPsJmBXua9lKKXlKgHAV7zhnogIS8AiBEXObl5sJh1mn3RpOzKJJq26B8yc9DMKwDvMnKwbWATOJubSA7B64zXOPbgGLtxHv82/rN9dUrVQffa3dkNc8+Lnnie/hzF9Ypjkf0iOFZxlJwfmmSQGHlDk/iqsq98x0Zsyju2koauthYiPFxRpriBKuNRSdsTXqfDfkkQ9HW0cW9eW+hwOIg1N3wuDsQcwLAfh2F0g9FK8585cMwcPB5oNRATG0/krDfxTTpaLA6Cno4W7s5tCz0dbc4yvjaB+U5usyoEiW8+YmBzM8zurCJ9kmPOAnt+AkpWBcbdArtzwtOH75zBk1kk5v8I+Pr6wt3dHcwmup2dHTZs2IDNmzfj7t27qFr1y4sKWVlZ7DgTExN4eHigcuXKSEhIgJGREerVk62FAS+xEXMG2NMTKF8XGHFRkHVdduY+/gh6gEampXDoV+mVtBbEaRKqsQSYd6FWv386YBYw0RE1jPk5YMYXUF7yBl/GkBwiQAQkTYA20CW9PGQcEVCcAK8PBed+B0JXATa/Au0WKW7cvyQw/d4azj2HD1m5ODrKDvWq/MCr/MKErQmIxYpzMejVuAoW9/ixsOEy/z36dTR+Ov4TDHQMcL7neaWWlC24hV7OsBxOdTtFt9BlXjUayGveIJxqQ0CMuHj08gOcl51HUT0dRM1pI+lb0eqw0PNO3MWWi4/YViZM2VgpfJjetJeSLuFQzCEEJgQiJy+HNctQ1xDtqrVDj9o9YFXG6nO/XKYP+sTzE3H9+XV23Mj6IzH8x+HQ1uJnU0MKTFTJBjHyhirx0WRb+Y4NL7972BAch1aW5bCpf2NNRiua77l5+TCf6SfXobehZ4YiIjlCqQeOGVB7o/diYcRCOFVxwlqXtZzZBUU/x6DtV1CnnBHOjHfgPP97E0JiXqD/1svsHvTBEc3ZTTfJf/ymARHrgUYDgU6reTWX75zBq3Ek7DMBGxsbNGzYEOvXr//83ywsLNClSxd4eXl9Qcrb25u9rR4dHQ09PT25SPISG8/vAeuaAUVKAtOeyGXH9yalZ+Wg+aJApKZn89bugXcjSSAR4JlAQatMKVaS4yVv8MyLxBEBIiBNArSBLs11IauIAG8EeH0oCFsLnJ0B1P0J6L6ZNxsZQcExLzBg62WYGBng0nRXpW+S7L+agCkHb8GhtjF28rhpsOLqCmyL2oZWpq2wwmkFr8wKE8bcQmd6oTM38TxtPNHbvHdhU+jvRIAlwGveIKZqQ0CMuDh3NwW/7LwKq4olcHIM9bMVOpgev/oAp2Xn2b6rYt8UeJH+An89+Iu9bf70/dPPrluXsWZvmzOb58X0in0VSXZuNhZfWQzf+5/66FJfdKEj59vyxcgb4nlLmrkQ4DM2mGolzMbE83eZ2ODeCG2synMxhcbySMBl2XnEvfyAPUNt0LxmWZkltz7YGkkfkuDTzgf1AaMMpQAAIABJREFUTerLPE/RgWHPwjD83HC2gsmxLsc4i9sY8hALT0Wjw48V8GffhpznFzahoF8yUxr+5JgWMNCVVgncL+z/ownwMgbouROwdCvMPU5/5zNncFJMg2UmwNwmNzQ0xIEDB9C1a9fP88aOHYvIyEgEBwd/IYsp0166dGl23tGjR2FsbIy+ffti6tSp0NH5erxnZmaC+afgw8RGlSpVkJaWhhIlSshs738GMu0HFlb89J+mPgaK8nuhwyc8HjOPRqFqaUMETXLiVKFDPodoFhEQn8DQHVfhfy8F89ys4G5rJr5B/7KAvlMktRxkDBGQNAHaQJf08pBxREBxArw+FETuBf4aAVR3Bvr/pbhx/5Iw6+gd7Ax/jD5Nq8KrW11eZcsi7ELsC7hvuYza5Yrj7Hh+yr0yt+baHGqD5A/JWOm0Ei1NW8piCq9jCm5VmBiasLfQmZvw9CEChRHgNW8Upoz+rjIExIgL7+CHWOQXDbf6FbG6dwOVYaXKhg7ZfgUB0c9FKRmbm5eL0Geh7G3z4MRg5ObnsiiN9IzQoXoH9rZ5ndKyt3g5EnsE8y7NQ3ZeNrs5Qn3RlR+ZYuQN5XtJGuUhwGdsBN1/jkHbrqCUoR4iPFpCX5cqTsizJnzMGbTtMoLuv8DCrnXR1+bLcs1f08Ec+m2yqwnykY/gXsEoXaQ0H6bIJOPZ+2fs7zVdbV1c6XeF/TeXz+QDN3HgWiLvbcAKbEhNz0LLFSF4+T4TY1xqYoKS25xxYYHUBGCVNcBUfJkSBxTl98Y8nzmDk180WGYCz549Q6VKlRAaGormzf8pUb5w4ULs2LED9+/f/0KWubk54uPj0a9fP4wcORKxsbEYNWoUmE33WbNmfVX37NmzMWfOnC/+ptAGOiNtSQ0g/SUwPASoIFv5eFng5OXlw2X5ecS/SsfsTpYYaFdNlmk0hgioPIG5x+9ia+gjDHOoDo/2FpLyh75TJLUcZAwRkDQB2kCX9PKQcURAcQK8PhTEngN29+C9LxTTG8duUSCepWVgy4DGcLUop7jjHCU8eP6OfTlhVEQXt2e34Tj768Ovp1zHgNMD2D6s53udF2Xz+t+30D1sPNDHvA8vvpEQ9SbAa95Qb1Qa5Z0YcVFw82pCq9oY41pLo3iL5WzBgbJi+jq45OEKoyLyldPkYj9z0IzZ7D784DB76Kzg08CkAbrX6o7WZq1RVLcoF5Gfx95+cRvjzo/73Bfdy96LLdVLH+UQECNvKMcz0qIoAT5jY9Se6zh5K0mUgz+KclC3+bOPRWF7WDyGO1bH9HayvSx/mPoQXY52YX8zhfUJ+9ySQxlsmAPPzOZ9Vl4WTnU9hSolqnBS6/ZnKG4mpGJdv4ZoX7cCp7myDj51Owkjd1+HrrYWjo9uAYsKct6wlVWhvOOu7wSOjQYqNwWGnpNXyjfn8ZkzeDeOBLIECjbQw8LCYGtr+5nKggUL4OPjw5Zp//9P7dq1kZGRgUePHn2+cb5ixQq2rHtSUtJXyQpyA53RtMkFeHoN6LULsOjE26qejUrGMJ9rKFFEF+HTXVHMgNtBHd4MIUFEQMkEtoU+wpzjd9HWqjy83RspWfv31dF3iqSWg4whApImQBvokl4eMo4IKE6A14eCp9eBTc6AUQVg4pc/fuS1NupZGjqsuYgietqInNUaRfSUX5rufWYOrH8/w7pwZ04bFOfhR838S/PZ8rGda3Rm+/mJ9dkXvQ8LIhbApKgJTnWnW+hirYMq6eU1b6iS42TrdwlwjouPqcCrh4BBccBY9lvD/zaiy5+hiBT4xTQt+38JMIfaWq4IxsMXHwS9JcPcCg9JDGFvmzO3zplNDOZT0qAkOlXvxN42r/FDDV6Wh/qi84JRLiGc84ZcWmiSKhLgKzbS0rPRZKE/snLycGJ0C1hXKqmKONTGZnlelgc+CcTYoLGwLGMJ346fWm8o89P1aFc8SH2Ada7rYF9Z9nYxzPcl8/vxQ1Yuzo13QK1yRoKYzegZsesazkSl4MfKJXH41+bQ1ZFglYX9A4C7fwGO0wDn6byz4Ctn8G4YCfxMQJ4S7o6Ojmzvc39//89y/Pz8wJR2ZzbK9fX1CyXMW2wcGAREHQZaLwCa/1aoXlkH9PQOx+X41xjhWAPT2pnLOo3GEQGVJxBwLwVDdkizHRtveUPlV4kcIAJEoDACtIFeGCH6OxFQcQK8PhQUlGXT1gNmvgC0tHihs9o/Fiv9Y9DKshw29W/Mi0x5hNSdfQbvMnLgP8ERTJ85RT7MxoDrfle8yXyDDS03oHmlf0qYKSJXnrlZuVlsL/SU9BRMazoN/Sz6ySOG5mgQAV7zhgZxU3dXOcfF+cXA+YVAw/5A57Wc8TAvjH+cc5bNy2fGOaBOeWFeTHM2TAMmFPRprFa2GAInOvJ6G/DVx1fYfW8329/8xccXn2k2Ld+UvW3uauoqSMUWpi/6kitLsO/+PlancxVnLGyxEMX1Ffu+14BwUMhFznlDIW00WZUI8BUbuy49xoy/7sC8vBH8xtrzmq9UiadUbA2MTsHg7VfZW9LMesjy2RG1A8uuLkNbs7ZY6rhUlim8jhkfNB7+T/w5/056lvoRzRcFsjfD785tK2jrgJS3GezhNuaZyLO9BX5xqM4rA4WF5eUCS6oDGanAkHNAlaYKi/x/AXzlDN4NI4H/IWBjY4NGjRph3bp1n/+7paUl3Nzc4OXl9QUtDw8P7NmzB3FxcdDW/nQwZPXq1Vi8eDF7o12WD2+xce53IHQV0HQ40H6JLKoLHcNUqGAqVTB54uJUF5QvWaTQOTSACKgLgZiUd2i9kt9Kn3yx4S1v8GUQySECRECyBGgDXbJLQ4YRAX4I8PpQkP0RWFD+k2HTngBF+Lnh0fmPi7iVmIYl3X9EzybcyubxQ+mTlNYrgxGT8h4+Q5rCvpaxQqIvPr2IX/1/ZXv4BfwUwLmfnkLKvzLZN9oX8yPmw7ioMfy6+wmyOcG3zSRPPAK85g3x3CDNPBPgHBeRe4G/RgDVHIEBxzhb8/xtBpouDIC2FnBvXlsY6Cq/Oglno9VkAlOVhTlUlp8PXPFsCWMjA948G+E/AqFPQ1l5zHekW003duPctIQpbzq+J4j6oisF82clnPOGcs0jbSIS4Cs2CiqVzOhggaH2EttUFJGvWKofvngP1+XBMNTXQdScNjIdaJgbPhcHYg7gl7q/YEzDMUo3fdW1VdhyZwt61+kNz2aeMusPjnmBAVsvswevmQPYQn98rzzB1EO32aptzMFC0zLFhFYpu/zEa8BmF8Cg5Kf+5zr8l6jmK2fI7hSNlIeAr68v3N3d4e3tzZZx37hxIzZt2oSoqCiYmpqif//+bJ/0gs30hIQEMBvsAwcOxOjRo9ke6IMHD8aYMWPg6Snb/4+8xcbVrcCJ8UDttkBffqphLPKLhnfwQ3SuVxFr+jSQBynNIQIqSyA9KweWsz5V+rw5qzVKGgrfGkxWWLzlDVkV0jgiQARUlgBtoKvs0pHhREA2Arw/FCyoCGR/AEZfB8ooXlo1OS0DzbwC2Mvslz34fUkvG6F/RvXfehkhMS+wpMeP6NlYsY18jwseOB53nPOLGK42yzqeuYXe4UgHtrcs3UKXlZrmjuM9b2guSrXynHNcxIcC29sDpaoBYyM5swh78BJ9N0eAuQUdNIl6VnMGqOCE5l4BeJaWgcMjm6Nh1VIKSvs0nakqYO9rj7TMNMxsNhNda3aFno7yX6RQX3RellMmIZzzhkxSaZA6EOAjNh48f8/eytXR1sKl6a68HvZRB8Zi+JCZkwvzmac5HcAaenYoIpIiMN9uPnuoStkf5mDVrLBZsK1gi42tN8qsfvOFOMw/eQ/t65bHun7C93ZlvkP7bY5A2MNXsK1eBnt+sZHpgILMDikyMHgJELTgU99opn+0AB8+coYAZpHIrxBgbp8vWbKE7WFubW2NlStXwsHBgR3p5OQEMzMzbN++/fPM8PBwjB8/HpGRkezm+pAhQzB16tTPPdELg8xbbDwIAHZ1A4wtgFGXClMr099H7r6GU7eTMaujJQa3qCbTHBpEBNSJQOP5/nj5PhPHf2uBupX5uYTFBx/e8gYfxpAMIkAEJE2ANtAlvTxkHBFQnADvDwWr6gKpT3grzbY74jE8j9xBg6o/4MhIO8UdVkDC1IO34Hs1ARNa1cYY11pyS8rIyYCjryPSc9Lh084H9U3qyy2Lz4n77+/HvEvzULZoWfh180MRXSofxidfdZLFe95QJzga7AvnuPh3248ZKYA2txvkBWXEW1qYYPOAJhpMXhzXe24Ix+VHr7G6d3241a/EixFML3Ln/c7QghYu97ss6vcQ9UWXY0nfP/90M6vhAKBWK5la+XDOG3KYRVNUk8D/2DsLsKqSt4H/VESxa+3uQikTAxUFXRU718BedW1dW+zuzrW7EwNRUUBMDAQDGxUTE0Xwe87lj7t+1I1zuPfCnOf5P377OfPGb8Z5zz0z875yzI3prv4sPXUPEScMaw7YTjvJ03df2NmrCjYFs8RrXL2d9Xj26Rnr66/HMnvC39C8EnyFjkc6kjttbo62iLwpp84T9dtR+t0o/X5MiOfR68/Um3ea0LAIpjUzp03F/AmhNn4daxzhkRc0nAc2zvG316KFHGuGFmpFFyMgINvceHUXFllDyrQw8qla7znx4Wm40IMbT9+rShVKJQvFIwgkNQJNl5zjyqN3LGlvRQPzXAbjvmzrhsF4JAwRBAQBpQiIDXSlyAq5goCBEJD9pWBFLQi6DG02Q8nfdfbS+R8f3ANeMtShBH1qFdVZni4C5h6/zXy3O7StmJ+pzcy1FnXswTEGnx6s+gjj2tzVYG4GSPVfpVvo0geqvyv8zR+l/9DaR9ExcROQfd1I3LiSjHcazwupHuak7BDxHQb6QUbNNmHH7bvBOq+H9KxZmBH1SyUZzobi6JAdvuy89IQh9YrTt7b2h8r+64/PMx+6HutKvvT5ONzssN5dFXXRNRyCs3PhhAvksYHubmp11njdUEuqaJQYCOg6N8IjflB1mhsv3n9l2R9WOJY1nI+yiWF8dPGh3Upv1S3p2S3L09w6b5yivoZ/pcLGCvzgB6danSKrWVZdVGvV903oG9XhZ00PdzVbco7Lj96xsK0ljcrn1kq3Np2ibr5nNEupKrNiahJZN1pvT2gITC8EP8Kh/zXIrExJFl3XDL3xEYoVJyDb3Pj+NfK3i/QMvQdps+lse/nxxwj5EqYqu1AiZ3qd5QkBgoCxEei/9Qr7rgYxvH5JetXUPYupXP7Ltm7IZZCQIwgIAgZLQGygG+zQCMMEAXkIyP5SsKkV3DkKjRaAdSedjJTq4VhMOM637xEG8YNiq88jhu++Tq0Sv/GPc0WtfRvgPgC3R250KduFgdYDtZajREepvqBUZ1DcQleCbuKRKfu6kXjQJGlPtJoX88vD2wfg7AoFqmjE749V5zl79xUzW5SjpY5lNTRSLBqrCMw/cYe5J27TyiYvM1qUl4XK5lubmeozFbt8diysvVAWmXIIEXXR1aAYEQELLSP/PTdeBFYd1OgEWq0bakkWjYydgK5zI6r+dKY0KTk/sg6pTDTLcmLs/AzZ/hG7r7PF5xH9ahdlUL0ScZoa+C4Qp31OpE2ZFq+2Xno5eCylRrfdasuHbx/Y3Xg3xTLHf2hM6lNu/DE+hH7HdUB1SubMkGBDIh0esZxwjPeh3znUrxplcus5Je6tg7CtPWQtCn9dUoyDrmuGYoYJwXonIOvcmF0SPjyDbichr26lGaSNc2kDXXpujncgbSoTvbMSBggCCU1g1tEAFrnfpX2l/Exuqv1FJbntlnXdkNs4IU8QEAQMioDYQDeo4RDGCALyE5D9pWBvb7i6CeqMheqDdTL46M3n9NxwiXxZzDgztJZePpj814GoD3Elc6bHdUBkjS5NH+nDi902O75FfGNno52UyBL3RyNN5evaXrpt13BPQ4I+BTHUZigdy3TUVaTonwgJyL5uJEJGSdElrebFukZw/ww0XQHlW2uErfIUN56/l7cGt0YGJPHGe648YeA2X1Wd1S09KstCY5L3JLYFbKNr2a4MsB4gi0y5hIi66PGQvOcOG5pAqgww2B9M06qFXqt1Qy3JopGxE9B1bvTbcoX9vkF0qlKA8U5ljR1HorJ/2el7TDvij5NFbua3iTslu/sjd/q596NUllJsb7RdbxzaHmzLjdc3mGs3F/sC9vHa8TwklMpT3UiRPBl+ExwS/ABHmxVeeAe+YUaLcrTS9yHDg4Pg4mqo2AMazIyXnbYNdF0ztNUr+hk+AVnnxmoHeOwNLf6Bss10cv7G0xAaLjxL1rSmXBpTVydZorMgYKwEtl94zLBd16heLBsbulYyGDdkXTcMxithiCAgCChBQGygK0FVyBQEDIiA7C8Fx8aA5wKo3Accp+jk6dAdvuy49ARn24KMa1RGJ1lydL794gP15p5BSofnO66eViL33t3LmHNjKJKxCHuc9uj9UEBMTuy8vZPxXuPJmjorR5ofwczETCtfRafES0D2dSPxokpSnmk1L/b1gSsbodYoqDlMbV4fQsMwd4m8sSGtx9K6LJ6EJXDxwRtaLPMiTyYzzg2vLYtyZ1dnLr64yJRqU2hUpJEsMuUUEq0uevne9Czfk+TJ9JweV04ntZW1vRP47YUK3eD32WpL0WrdUFu6aGjMBHSZG9KtvoqTT/D1ewQH+lbDPK+eb+Aa80AoYLvrjWf02niZ8vkysa+PbZwa1t1cx6yLs3Ao6MCsmrMUsEY9kcM9hnMo8BD9rfrTzbxbvJ087rykw2ofCv+WlpOD7eJtL3eDiQf9WH32Pp2rFsSlsZ5/R0dlG2q7FUrUl9vVn/J0WTMUM0oINggCss6N3T3g2jawd4FqumUTjFoLLfJlYm88a6FBgBRGCAIKEPC894p2K89TKFta3IckfLyMzSVZ1w0FuAmRgoAgYDgExAa64YyFsEQQUISA7C8F5+bD8bFQrjU0W6G1zVLqOenD1+tP39jcrRJVi+peX0prY/7X8X1oGOX+t2Ej3SRIY6p5iq0ex3rg9cyLvhZ9VR/dDfEJiwij0Z5GPP34lCE2Q+hURrdU/Iboo7BJNwKyrxu6mSN6x0FgyZIlzJw5k2fPnlGmTBnmzZtH9erVY+yxdu1anJ2do/3dly9fSJ06dbyctZoXp2eA+2Sw/AOcFserI6qB7+N3OC0+x2/pU6nqe4on4QkEvw+l4hQ3kieDgEn1SZlC903kGltr8PbrW7Y13EbprKUT3ik1NEoxcuaFmWzx36JqLaWbn1ptKulM06nRO5E2+RgMc0pBxHfodRZyqp9+Uat1I5FiFG79SkCXubH5/CNG7rlOiRxS1qjqBnlgNSmPt1/Qexos8CBzmpRcGRv3oeSJXhPZfns73c2708+qn96wLfVdypKrS2hStAkTbSfGa8eas/eZcNAPhzI5WN7BJt72cjfYffkJg7b7UqFgZnb0qiq3ePXlvQmEBZaQPCX8/QBSKRcrdVkz1HdItDRGArLOjZOT4MxMsOkCDefqhGPFmXtMOexPo/K5Wdg27mwcOikSnQUBAybw5O1nqk13J2WKZPhPrK/K3GIIj6zrhiE4JGwQBAQBxQiIDXTF0ArBgoBhEJD9peDKJtjXG4rUgQ67tXby0sO3NF/qSfrUJlweU1eWD/NaG/O/jlItu7LjjvLpWzgnB9ek8G+afQCQbq7V2VGHiB8RHGp6iPwZ8utqkmL9d9/ZzTjPcWRJnYUjzY6QJmUaxXQJwcZHQPZ1w/gQGIXF27Zto0OHDkib6La2tixfvpxVq1bh5+dH/vzR1x9pA71///4EBAT84l/OnDnV8lereeG7Ffb0hEI1oNMBtfRIjXZdesLgHfKmD1dbuWioIiDFxJJjXFU3PKUyK/mz6hYn3oS+oea2miQjGefbnzf47CdSRhlpY0cqyVIwQ0EW1F5AoYyFkubsODsXTrhAHmvoflIjBlqtGxppEI2NlYAuc6PZknNcfvSOkQ1K0qNGEWNFkGjt/vT1O2XGHVX5F18Wme7HuuP9zFu1aS1tXuvrOXL/CMPODMMyuyXr66+P14wRu6+xxecxf9UuyuB46rzHK0yLBgHPP+Aw7wxpTVNw3cWB5PrakPBZCYeHQIFq4HxIC0/U76LLmqG+FtHSGAnIOjcub4D9fXX+3iVxHLP3Bhu8H9KnVhGGOpQ0RrTCZkFAZwLS5akSo4/wPeIHnsNrkzuTYWTAlHXd0JmSECAICAKGTEBsoBvy6AjbBAEZCMj+UnD7GGxuCTnLQS8PrS2c7urP0lP3DO40bp3Zp7j38pNWt+I339rMVJ+pmGczZ/Pvm7VmkxAdxS30hKBsIDo+voTkKSBNFrUNkn3dUFuzaKgJgUqVKmFlZcXSpUt/ditVqhRNmjRh6tSp0URJG+gDBgzg3bt3mqj52VarefHQE/6pD5kLQn9ftfXOcPVnyal7dKhcgIlNRG1btcHJ3NB+zmnuBn9kY9dKVCumW6aYC88v0OVoF/Kmy6sqH2IMz41XN+jv3p/gz8EGXZpFUZYREbDQCt7eh8aLwKqDRuq0Wjc00iAaGysBbedG4MuP1J59WnWDyWt4bbJniD+DirEyMma7bSad4NXHr/Gm2HfY6UDQpyDVprW0ea2vx++1H60PtlYdLj7d+nS8ZrRY6snFh2+Z38YCJ4s88baXu8H38AjVIQXpkNupIXYUzJZWbhXqydvSDgIOQe0xUGOIen20bKXtmqGlOtHNiAjIOjfun4F1jSBrUfjrkk4UOq3x4fTtl0xrZk6bioZ7uUInJ0VnQUANAjVnuvPw9We29qhM5cJZ1eihfBNZ1w3lzRUaBAFBQI8ExAa6HuEL1YJAQhCQ/aXg6SVYWRsy5IFBflq7UHfOae4Ef9TbR4fYDO+w+jwed14xu2V5mlvn1ci/Pw7/ge9LX4ZVGEaH0pp9YNZIkUyN99zZw1jPseIWukw8DVbMwYHguw3qTwOrjmqZKfu6oZZW0UgTAt++fSNNmjTs2LGDpk2b/uwq3TC/evUqp09H//grbaB369aNPHnyEB4ejoWFBRMnTsTSMuYP1l+/fkX6X9QjzYt8+fIREhJChgwZ1DM35CnMLQ3JTWB0cORhDjWeHusvcszvBS6NStPZNone+lWDk9JNnP/xwT3gJVObmdNWxw9/W/23Mvn8ZOzy2rGwzkKlTZdNvpRdxnGXI1/Dv7Kz0U5KZCkhm2yjEBR4CtY7gWl6GBIApppt0oh4YhSjrBcjtZ0bM4/6s9j9HrVLZmdN5wp6sV0ojZ9A1AazlLZYSl8c0/Mt/Bs2G234wQ/cW7mTzUy3g1rxWxV7i09hn6i8ubKqwdk2Z8mYKmOsjaUMLRYTjhPyJYzD/apTOrea70S6GBhDX6dFZ/F9EsLidlb8Xi6XzNLVEBceBtMLwbcP0OMU5Fb2AIS2a4YanogmRk5A1rnx9gHMLw8pUsGo55Bc+xJGtWefIlDLyxlGPiTCfEHgFwJ/rDrP2buvmNmiHC1t8hkEHVnXDYPwSBghCAgCShEQG+hKkRVyBQEDISD7S8HbhzC/XOQPitEvIJnm9Wsevv5EzZmnMEmejEuj65IxTUoDoQVDd/iy49IThtQrTt/axdS2S6onLn1gl1LTnmh5guxpsqvdV18NpVvojfc05snHJwyyHoRz2ei1kfVlm9ArEwGpbu3cshD+FTodhEIx18b+/9pkXzdkckeI+ZdAUFCQaiP83LlzVK36b+3LKVOmsG7dumhp2qWe3t7e3L17F3Nzc6Qxnj9/PocPH8bX15dixaKvdy4uLowfPz4ado020CPCYVIOiAiDgTcho3oHk6I+OMlx81nMG+0JjN13g/VeD/nTrgh/O+qWenKS9yS2BWyjS9kuDLQeqL1ReujZ/2R/Tj4+Sc9yPelr2VcPFuhR5fZO4LcXbLpCwzkaGyLiicbIkkwHbeaGlAa02vSTPAsJZUl7KxqY62HTMMmMkG6ODt7uy67LTxjqUII+tYrGKCzwXSBO+5xIY5IG73beeq9lX3t7bV5+ecnmBpsx/808VgDBH0KpONkNKWu63wRHUqdU73CgbkSj945KI9/brgjDdIzRWtkWlWUoTVYYclenjUZ19GuzZqgjV7QxfgKyzo3w7zApO/wIh0H+kEG7OBMREVkK6Vt4BB7DapEvi26lkIx/lIQHSZnAiN3X2eLziH51ijGobnGDQCHrumEQHgkjBAFBQCkCYgNdKbJCriBgIARkfyn49gmm/O8WwYgnkCq9xp6uPnufiQf9qFI4K1t6RJ70N5RnzrEAFpy8S/tK+ZncNPYPJ//f3lXXVzH/8nwq5azEKodVhuJOvHZE3ULPnCozrs1dRS30eIkZWQO3ieAxK7JubTc3tQ+8yL5uGBk2YzA3agPd09OTKlWq/DR58uTJbNiwAX9//3jdiIiIUKWAr1GjBgsWLIjWXpYb6JLU+RaR6Z87H4aCtvHaFRYeQakxrqo6aV4japMro2HUSYvX8ETYYJVHIJMO3aJhuVwsamelk4dS+nYpjfvkapNpXKSxTrISuvPBwIOM8BhB4YyF2ddkX0Kr158+6RDWnFIQ8R16nYWc6r8XRRkt4on+hs/QNWszNzzuvKTDah8ymqXEZ1QdUpnoZ+PS0Nkagn0L3O4w5/htWlrnZWbL8jGadOrxKf46+RelspRie6Ptejfb2dWZiy8uMrX6VBoWbhirPefuvqL9qvMUypYW9yF2erNbqq0s1ViuWfw31nWpmPB2nJwEZ2ZC2RbQYrXi+rVZMxQ3SigwCAKyz4255hDyCLochfzafa96HhJK5aluqnIjARMdMUmh/U12g4AsjBAEdCCw5NRdZrgG0NQyD3NbW+ggSb6usq8b8pkmJAkCgoCBERAb6AY2IMIcQUBuAoq8FEzKCd+/QL+rkEXz1LptV3jjFfh6Iz1QAAAgAElEQVSaMQ1L07Wa5v3lZvRfeZvPP2LknuvUKZmd1RqkhWy+vzm3397GpYoLzYs3V9JEWWV/j/hO472NefzhsepGoHQzUDyJhMDXDzC3DISGQKsNUFr9DStF1o1EgtVQ3NAmhXtMtnfv3p0nT55w5Ej8Nam1nhfrGsP909BkGVi0jRfh3eAP2M85Q7pUJlx3qaf3G2nxGpyIG7jeeE6vjZconzcj+/pW08nTmttq8ib0DVsbbqVM1jI6yUrozh++faDGthpIMXOv016KZCqS0CboR9/ZeXBiXOQhrO4ntbJB63VDK22ikzER0GZuDNh6hb1Xg+hQuQATm5Q1JneTnK37rj6l/9arVCyUhe09/z3o918Q626uY9bFWdQrUI/ZdrP1zsjF04Vdd3bRq3wv+lj0idWetefu43LAj7qlc7Cyo43e7L786C3NlniSLV0qLo62T3g7VtSCoMvgtAQs2yuuX5s1Q3GjhAKDICD73FjbEB54QLOVUK6VVj763H9Dq+Ve5Mtihsew2lrJEJ0EgcRC4OC1IPpuvoJNgczs/PPf7Hn69E/2dUOfzgjdgoAgoCgBsYGuKF4hXBDQPwFFXgqklNAhj6HrCcinWe3BkM9hWE06jpSC8fRQOwpk1ayWptJE3f2DcV57gdK5MnC4v3rpru++vUvT/U0xSW7CqVan4qyZp7T92sjfd3cfo8+NRtxC14aeAffxXATHRkHWotDHR+3a05JHiqwbBozKWE2rVKkS1tbWLFmy5KcLpUuXxsnJialTp8brllTDs2LFiqqU7mvWrIm3vdbzYl9fuLIB7EaC3d/x6pFz0zZeZaJBnAT8gt7TYIEHWdKacnlMXa1pSRvn0ga69Jxvd94os530cevDmSdnVJsq0uZKon8iImCRNbwJhMYLwaqjVi5rvW5opU10MiYCms6N96FhVJx8gtCwCPb1saV8vkzG5G6Ss/Xq43c0WXyOHBlScX5kzJu7UaU9upt3p59VP70zWntjLbMvzaZ+wfrMqDkjVntG7bnOpvOP0Fvq9P9Z9uVbOGXGuRLxA3xG1iF7htQJx/DzG5hRGPgBg25Bhpjr3MtpkKZrhpy6hSzDJiD73NjbB65uhFqjoeZQrZzfdekJg3f4Yls0K5u6aXeLXSvFopMgYIAEfB+/w2nxObKnT4XPKD0c+IqBiezrhgFyFyYJAoKAPATEBro8HIUUQcBgCSjyUrDCDoKuQNutUKK+Rr5H3UYoniMdxwZGfkw3pOfWs/fUn6/ZZsGCywtYeX0ldvnsWFh7oSG5o5Yt0o06p71OPPrwiAFWA+hq3lWtfqKRARP4/g3ml4cPQdBoPlh31shYRdYNjSwQjdUhsG3bNjp06MCyZctUadxXrFjBypUruXnzJgUKFKBjx46qOulRm+lSPfPKlSur6p1LYyylbZfSvUt11KWN9PgerefF6ZngPgks/oAmi+NTw2L3u8w8GkAzyzzMMZAUb/EanUgbfAgNw9zlmMq7G+MdVFkBtHkuPr+I81Fn8qTLoyoXYozP3rt7GXNuDMUzF2dX413G6IJmNgeegvVOYJoeBvtDqnSa9f9fa63XDa20iU7GREDTubHV5xHDd1+nWHbpN0QNkZ3EwAf73edvWEw4rrLy1gRHzEyjp9vvcawHXs+8mFB1Ak2LNdW7R+6P3Onn3i/elPLSrVLpdunc1uVpaplXr3bbzznN3eCP/ONcgVolsiecLTd2w05nyF4aensliF5N14wEMUooMQgCss+NU9Ph1BSw7ABOi7Tyce7x28x3u0ObCvmY1rycVjJEJ0EgsRB4++kblhMj3wn8JzqSOqX+S/DIvm4klsESfggCgkA0AmIDXUwKQSCRE1DkpWBjC7h7HBovAqsOGhH8a8sVDvgG8addEf52LKlR34RoLN2QLz8hcrNAnRc76QZng90NePLxCTNqzKB+Ic0OFCSET+ro2H9vP6POjiJTqkyqzY20KQ0rM4A6Pog2/yFwZRPs6w3pckD/a5BSsxspiqwbYoAUISDdPp8xYwbPnj2jbNmyzJ07V1XTXHrs7OwoWLAga9euVf33wIED2b17N8+fPydjxoxYWlri4uLySw31uIzUel5c2w67u0PB6tD5YLwcBm67yp4rTxnqUII+tYrG2140UJaA5YRjvP0cxpH+1SmVK4NWyrb5b2PS+UnUyFuDxXXiP0ShlRKFO4V8DcFumx3ff3znYNODFMhQQGGNeha/ozPc3AM2XaHhHK2N0Xrd0Fqj6KgtASmezJw5UxVPypQpw7x586hePeZsTFJccXZ2jqbqy5cvpE6t3juHpnOj5TJPLjx4y/D6JelVM4mUUdB2MA2kXzmXo7wP/c7RATUokTN9NKscdzny9ONT1jmuwyqHld6tDgwJVB0qTmOSBu923jEe0pB++1lNPK6Kiwf/qkbZPBn1anf/rVfYdzUo4d+Z9vWBKxuhSl9wmJwgDDRdMxLEKKHEIAjIPjd8t8KenlCoBnQ6oJWPg7ZfZfdl8XtGK3iiU6IjIMVO6VD2x6/fOTGoBkWzR38nSGinZV83EtoBoU8QEAQSjIDYQE8w1EKRIKAfAoq8FOzpBb5bwN4Fqg1U27Fv3yOwnnScD6Hf2fVnVawLZFa7b0I1lF7sSo89ypewcE4NsaNgtrg3kq+9vEb7w+0xMzFTpW9PkzJNQpkqqx7pFnqTfU14+P4h/a360828m6zyhbAEJCCl3V1aBV76a/xvNMpKRdaNBEQgVClDQOt58cgb1jhApgIw4Fq8xjVedJZrT0JY9oc1jmVzxtteNFCWQNR4LO9gjUMZ7cZjyvkpbPHfgnNZZwZZD1LWYAWl9zzeE88gz8QfJz++hDmlICIMenpALu1vTmm9big4jkJ0dAJRGU2kTXRbW1uWL1/OqlWr8PPzI3/+/NE6SBvo/fv3JyAg4Je/y5lT/TVCk7nx4NUn7GadInky8BpRhxwJmapaTBitCcQVP76Ff6PCpgpE/IjAvZU72cyyaa1Hro5h4WHYbLJR2XSy5Ul+S/NbNNGvPn7FZtIJkiUDv/Ex36yXyx515Kw4c48ph/1pYJ6TJe2t1emie5sfP2BuGXj/FP7YDUXr6C5TDQmarBlqiBNNEhEB2efGQ0/4p77av11iQtlqmRc+D96woK0ljcsrX+IgEQ2ncCWREpAyfUoZP//pXIFaJRMwY0osPGVfNxLpuAm3BAFBAMQGupgFgkAiJ6DIS8HRUeC1SOMT5+fuvqL9qvNkS2eqqoWXQvoKZoBP7VmnCHz1iS3dK1OlSNY4LZzuM52NtzbSoFADpteYboDeqG/SgXsHGHl2pKqG+9HmR8UtdPXRGVbLgCOwpQ2kygADb0BqzW/GKLJuGBYlYY0WBLSeF++DIjfjkqWA0cGQIvY04NIhprLjjvLpWzgnBtWkaHbt0kZr4Z7oEguBPpsvc+jaM0b/Xopu1aV6p5o/XY92xee5D5NsJ+FU1ElzAQbSY+ftnYz3Gk/prKXZ1nCbgVilgBln58GJcZDbCnq466RA63VDJ62is6YEKlWqhJWVFUuXLv3ZtVSpUjRp0uRnGZD/ypQ20AcMGMC7d+80VfWzvSZzI/h9KOu9HvLyw1emt9D+QIfWxoqOWhHou/kyB689Y1SDUnSv8Wv8UOe2t1ZKdewkZRZ7/OExaxzWUCFnhWjSvO69pu1Kb/JnScOZYbV01KZ797N3XvHH6vMUyJqG00MTyJ5gf1hSCVKkguEPIaWZ7o6oIUGTNUMNcaJJIiIg+9wIeQpzS0NyExj1Is7fLrFhrDzFjefvQ9nTuyqW+Q3v4kgiGn7hipEQ6LH+Isf8XjC+cRk6VS2od6tlXzf07pEwQBAQBJQiIDbQlSIr5AoCsRAw9PSIag3c2blwwgXKt4Wmy9TqIjUaf+Am/5x7QEvrvMxsWV7tfgndsN1KbzzvvY63rl14RDj2O+159eUVi2ovomY+w6vprgk76RZ6031NefD+Af0s+9G9XHdNuou2hkJgtQM89gbb/lB3glZWiR8TWmFL9J20nhdSVoRJ2SNvsw64Dpmi32aMghf07gtVp53EJHkybk10JGWK5Imeq6E7OO2IP8tO36Nz1YK4NC6jlblS6vPXoa/Z8vsWymYrq5UMQ+j0JvQNtbbXUt1OlMqdSDXdE90j/XtdZA1vAqHxQrDqqJOLWq8bOmkVnTUh8O3bN9KkScOOHTto2vTfOtTSDfOrV69y+vTpaOKkDfRu3bqRJ08ewsPDsbCwYOLEiarSIOo+Ym6oS8p42806GsAi97u0r5SfyU3Nf3Hk9OPT9D3Zl5JZSrKj0Q6DcbLXiV6ce3qOcVXG0aJ4i2h2rfd6wNh9N7EvlZ1VnaJvsCe0I/+tK3vNpR4ZUqdU3gSvJXB0BBSuBR33Kq/vfxrEmpFgqI1OkexzQ4PfLjHBCg0Lp9RYV6RkDZdG25M1XSqjYyoMFgTkJjDpoB+rzt6nW7VCjG5YWm7xGsuTfd3Q2ALRQRAQBIyFgNhAN5aREnYmCgKGnh5RbchSvTOp7llRe/hjl1rdpFuFNWa68/jNF3RJA6uWMh0bRdWrGuZYgt52sdff9XnmQ9djXclgmkGVvj1ligT4YKGjb/F1Pxh4kBEeI1Q+SbfQ05mK25/xMTOov49KlZ3CNLL2eYZcWpknfkxohS3Rd9JpXiywjNyQ63wIClaLlZXHnZd0WO1Dkd/S4jbYLtEzNQYHN59/xMg916ldMjtrOmu+WfAu9B3Vt0XWUT7f7rzRljqJGquo2/RDbIbQqUwnYxhCzWwMPA3rG4NpehjsD6l0ew/Qad3QzHLRWksCQUFBqo3wc+fOUbVq1Z9SpkyZwrp166KlaZcaeHt7c/fuXczNzZHGeP78+Rw+fBhfX1+KFSsWoyVfv35F+l/UI/XLly8fISEhZMiQQUvrRTdDJrD94mOG7bxG9WLZ2NC10i+mrr+5npkXZ1K3QF3m2M0xGDem+Uxj061NdC7TmcE2g6PZNWbvDTZ4P6RXzSIMr1/SIOyuOtWNoJBQtvWoTKXCcWdPk8XgjS3g7nGoNwmq/iWLSHWEiHiiDqWk2UaRuaHmb5eYiN97+ZE6s0+TxjQFN8c7kEyq+SAeQSCJE1jn+YBx+29Sr3QOVnS00TsNRdYNvXslDBAEBAElCIgNdCWoCpmCQCwEDD09otoDF+AKW1pDLgvoGf1WSkxyAp5/wGHeGUxNknN1bF3SmMaewldtOxRqGHVbomOVAkxwiv2m3Noba5l9aTYOBR2YVXOWQtYkrFjpVr1UC126hf6X5V/0KNcjYQ0Q2nQjsLkN3D4Clh3AaZHWssSPCa3RJeqOOs2L9U4QeAqaLAWLdrFy+ufcfcYf8MOhTA6Wd9D/D+tEPaBqOhd1qKFY9nQcH6R5ppVLLy7R2bUzudPm5miLo2pqNdxmUi13qaZ7ud/KsanBJsM1VFvLdjjDzd1g0wUaztVWys9+Oq0bOmsXAtQhELWB7unpSZUqVX52mTx5Mhs2bMDf3z9eMREREaoU8DVq1GDBggUxtndxcWH8+PHR/k5soMeL12gb+Nx/Q6vlXuTLYobHsNq/+DHJexLbArbRzbwb/a36G4yPUWu8XT47FtZeGM2uNiu88A58w+yW5Wlundcg7O627iInbr1gXKPSONsWUtamsFCYXhC+f4E/PSGHdplptDFSxBNtqCWNPorMjfVNINAdnJaAZXuNQJ4KCKbzPxcomTM9rgNqaNRXNBYEEiuBk/4v6LL2IqVyZeBI/8jD1fp8FFk39OmQ0C0ICAKKERAb6IqhFYIFgV8JJFR6xAS53fHkIqyqAxnzRdZYVuNZ7H6XmUcDtL7BpoYK2Zps9H7I6L03sC+Vg1WdYt/AkT6gSx9ZupbtygDrAbLp17egQ4GHGO4xXHULXUpRm166hSYewycQVY+QZND3AmSL+QaYOo6IHxPqUEp6bXSaF/v7weV1YDcC7IbHCm/03uts9H5En1pFGOpgGDe7kt5I/+rxg1efsJt1itQpk3NrgqPGt2i2B2xnovdEquepzhL7JUaPM/hzMPY77PnBD463OE7OtDmN3qefDnx8CXNKRZZb6HkGculebkendSPxkDVoT7T5jRKTQ927d+fJkyccOXIkRn8T5DeKQZNOesa9eB9KpSluJE8G/hPrqw5SRz09jvXA65kXE6pOoGmxf0sH6JuSZ5AnPY/3pFDGQuxvsj+aOTaTjvPq4zf297WlXN5M+jZXpX/u8dvMd7tDC+u8zFK6TJp0GFI6FJkuZ2SWkgS8WSviiUFMN4M0QpG5caA/XFoLNf+GWiM18nuD1wPGqEo9xP09SSOhorEgYOQE7gZ/wH7OGdKlMuG6Sz2Nf1PK7b4i64bcRgp5goAgYBAExAa6QQyDMCIpEEio9IgJcrvjzX1YYAEmZjD6uVrD13TJOa48esfkpmVpX6mAWn301cjt1gu6rrtI2TwZOPhX7Ccj+7r15fST04ypPIZWJVrpy1zZ9Uq30Jvtb0ZgSCB9LPrQq3wv2XUIgQoQ2Nsbrm6Ckg2hjW63IsWPCQXGJxGI1GlenJkFJyeCRXtoEvsmatTNrjmtytPMyjBudiWCodPJhW/fIyg55ggRP8BnVB2yp0+tkbyp56ey2X9zrOlwNRJmII07HenE5eDLDK84nPalNLuVZCAuxGzGuflwfCzktoIe7rKYqtO6IYsFQog6BKQsWdbW1ixZ8u/6XLp0aZycnJg6dWq8IqRSTRUrVlSldF+zZk287aUGYm6ohcmoG0nzQqoDHBoWgfsQOwplS/vTH8ddjjz9+JS1jmuxzmFtMH4GfQzCYZcDJslNuND+gurPqOfNp29YTTyu+k+/CQ4Gk1Ht2M3n9NhwKWFu9R0bA54LoHw7aLo0QcdNrBkJituolCkyNzxmg9sEKN8Wmi7TiMeUw7dYcSaQLraFGNtI/7WeNTJeNBYEFCIQGhZOyTGuKulXxtQlc1pThTSpJ1aRdUM91aKVICAIGBkBsYFuZAMmzDVeAgmVHjFBbnd8/QBT/7exMTIITP/9GBLTCAV/iLx98OMHeI+oQ86Mmn18T+hRvxkUwu8LzpItnSkXR9eNVb20yXzn7R2W2i+lWp7Ya/omtP1y6Dty/wjDzgxT3T6XaqGLW+hyUFVQRshTmF8+8tZgNzfIq1vqa/FjQsGxMmLROs2LaztgdzcoUA2cD8VKwWbSCV59/GpQN7uMeMhkM9122kmevvvCrj+rYF0gi0Zyux3rxvln55loO5EmRZto1NdQG2/w28CMCzOwym7FuvrrDNVMzeySXtIWWsGbQGi0AKzlqe+u07qhmQeitQ4Etm3bRocOHVi2bJkqjfuKFStYuXIlN2/epECBAnTs2FFVJz1qM11KxV65cmVVvXNpjKW07VK6d6mOurSRrs4j5oY6lIy/jcPcMwS8+MBa5wrYlciucigsPAybTTZE/IjgZMuT/JbmN4NxVLKpwsYKfIv4xuGmh8mXId9P284Hvqb1Cm/yZjbj7N+/pqTXpwNP3n6m2nR3TJIn4+YEB1KZpFDOnKXV4MV1aLYKyrVUTk8MksWakaC4jUqZInPj+k7Y1RXyV4UuMWdWiQ1Srw2XcL35PGHKKhjVSAljkzqBipNPEPzhK/v62FI+n36zuCiybiT1ARb+CwKJlIDYQE+kAyvckp+Ah4cHy5cv5969e+zcuVP1EUn6UFSoUCGqVYt/8zSh0iP+f88VeSmQPrJOzgnfQ6G/L2QuGCfwbRce8feu65TLm5H9feNnJf/oaSbxv7cLAiY5xvoRosrmKnwM+8g+p30UzlRYMyUG3vq/t9B7W/Tmz/J/GrjFSdy8o6PAaxEUsAXnwzrDUGTd0NmqxCNA13iiLxI6zYtH52FNPciYHwZej9GFkM9hlJ9wTPV3N8Y7qNK7iccwCERlBpjX2oImlnk0MqrW9lq8+vKKzQ02Y/6buUZ9DbXxs4/PqLerHslIxslWJ8lmls1QTVXfrsDTsL4xSGVbpLS8qdKp3zeOljqtG7JYkPiFyBVTpNvnM2bM4NmzZ5QtW5a5c+eqappLj52dHQULFmTt2rWq/x44cCC7d+/m+fPnZMyYEUtLS6QsWP+toR4feTE34iOUOP6+x/qLHPN7wfjGZehUNfI34/2Q+zTe2xgzEzPOtzuv9zSu/590031NufvuLkvqLKF63n+zkUWV+apV4jf+cVbvoEhCjKJ0099iwnFCvoRx8K9qlM2TURm1H17A7OKRsofeg7QJG/vEmqHMsP5XqlzxRHlLf9WgyNx4fAFW20OGPDDITyOXfl/gwc2g96zuZEOdUjk06isaCwKJmUDzpZ5ceviWRe0saVgut15dVWTd0KtHQrkgIAgoRUBsoCtFVshNVAR27dqlupXRvn171aa5n58fhQsXVqU5PHjwIIcPq7dhlajSI84pA++fQLeTkDfutHvd1l3kxK0XDKpbnH51tK/LnFCTSvoIIaUW+vo9Ao9htciXJU001e+/vcd2i63q/y99+EmTMnqbhLJXKT2u910ZemYo6VOmx7WFq6omungMkMCXtzC3LHz7CO12QPF6OhspfkzojDBWAXLFE+UsjF2yTvPi/TOYUxKSpYDRwZAi+ua49GNa+lGdK2NqvEbU0YeLQmcsBIbu8GXHpScax/GQryFU2xp5cM67nTdpU8adscaYBqD9ofZce3WN0ZVG07pka2MyPWZbdzjDzd1g0wUazpXNH53WDdmsSLyCkmxMSbxDmug8m3zIj5Ue939JZXzmyRn6uPWhROYS7Gy80+B8Hug+kBOPTkQr0+Gy/yZrPR/Qo0ZhRjYoZVB2t1vpjee910xvbk7rCvmVsc13K+zpCbnKQ88zyuiIQ6qIJ8oiF/Hk//H9GAyzpG9XySJ/u5ion27a3OUoH0K/c2xgDYrnSK/swAnpgoARERi47Sp7rjxlmGMJetsV1avlIqboFb9QLggYFQGxgW5UwyWM1RcB6VaFdNNCSl+YPn16fH19VRvoV69exdHRUXX7Qp0nUaVHXF4DnvlCu+1Q3CFW96U6NxYTjqlq3x3qV40yuRU6Ea/OAGjQxm6mOw9ef2Zbj8pUKpw1Wk//N/60PNCSzKkyc6ZNwn9A0MAVrZtKKQyb72+uuoEhaqFrjVH5jlG1pbOXgT/PQbJkOusUPyZ0RhirALniiXIWxi5Zp3kRERGZuST8K/S/BpkLRFO0/eJjhu28RvVi2djQtZI+XBQ6YyGw0O0Os4/fpqV1Xma2LK82p8svLtPJtRO50ubiWIvI7AKJ5fnnxj/MuTSHSrkqsareKuN269MrmF0ysgyItCkibY7I9Oi0bshkQ2IWk2RjSmIe1ETmW9St7Tols7O6cwWVd1FlMOoWqMscuzkG5/G8S/NYfWM1bUq0YVTlUT/ti9qkntmiHC1t/k3tbggORB1U6FilABOcyipj0u4ecG0bVBsI9i7K6IhDqognyiIX8eT/8VVlXcwF37/AX5chaxG1BuC/GbVuTXDEzFTBkgpqWSQaCQKGQ2DOsQAWnLxL24r5mdpMv5nJREwxnHkhLBEEDJ2A2EA39BES9hkEgTRp0qhunUupC/+7gR4YGEjp0qUJDQ1V285Ekx5xQzO45wZOS8Cyfaz+u916Qdd1F8mdMTXnhtc2uBR9sRkela52fhsLnCyip6s9+egk/d37UyZrGbY23Kr2+Btbw6ha6NLtc6kWejpTeVK6GhsHg7U37AvMM4dPL6HpCigvzy1I8WNCuRGXM54oZ2XMknWeFwut4fVd6HQQCv2bEjVK29TDt1h+JpDOVQvi0rhMQrsn9MVBYO+VpwzYdpVKhbKwrWcVtVntuL2DCV4TsM1jyzL7ZWr3M4aGjz88psHuBqRIlkKVxj1Las1qwxuUj+cWwPExkNsSepyS1TSd1w1ZrUl8wpJ0TEl8w5koPfK485IOq30omj0dJwbVVPk42XsyWwO20rVsVwZYDzA4v/fc2cNYz7FUyVWFFfVW/LSvwuQTvPzwlb19bLHQc+3W/w8tKk7bFMjMzj+rys9UOggppW+XfnPE8h4nv9JfJYp4oixhEU9i4LuoIrwKgA57oUgttQbg+pMQGi06S7Z0qbg42l6tPqKRIJBUCOy4+JihO69RrWg2NnbT74F5EVOSyqwTfgoCuhMQG+i6MxQSkgCBIkWKqOqf29vb/7KBvn79eqZNm6baXDfUR7GXgqgT6HUngG3/WN0fsfsaW3weo+hpeAXgR6UWGl6/JL1qRj9tvOnWJqb5TMNQb07IhUSqhd5kXxMevH9Af6v+dDPvJpdoIUcOAhdWw6FBkDEf9LsCKVLKIRXF1g1ZrDNuIUk6nmxoCvdOxnrwquvaC7j5BzOxSVk6VI5+Q924R964rY9Kr58nk5nqMJy6jxQnpXjZqXQnhlQYom43o2nX6kArbr25hUsVF5oXb240dv9iqHTDSjrc8uYeNJoP1p1l9UPEE1lxRhOWpGOKsmiFdJkIPH7zmeoz3DE1SY7/BEeSJ09Gz+M98QzyZELVCTQt1lQmTfKJuRJ8hY5HOpI7bW6OtjiqEvzu8zdVnXHpuTHegXSpopeikc8CzSXdefGBunPPkNY0BdddHFScZX2eXYPl1UEqxfL3A43SWctlh4gncpGMWY6IJzFw2dQS7hzT6P3o8PVn9N50Gcv8mdjTO7Lkn3gEAUEgkoB34GvarPCmQNY0nB6q3qEUpdiJmKIUWSFXEEh8BMQGeuIbU+GRAgRmzJjBunXrWLNmDXXr1lXVPH/48KEqrfvYsWPp27evAlrlEanYS4HrSPBeDFX7Qb2JMRobEfGDylPdCP7wlXVdKlKz+G/yOJUAUqa7+rP01L1Yb0LOvDCT9X7r6Vi6I0MrDE0Ai/Sn4sC9A4w8O1KVrt61uWuirPeuP7o6aI4Ij9z0eHsfHKdB5T91EPZrV8XWDdksNF5BSTqeHHcvcwIAACAASURBVOgPl9ZCzb+h1shogxhVOmNz90pULZLNeAc5EVoe/CGUipPdVBUiAibWV22EqPN0P9Yd72feBrtJoo4PcbVZeW0lC64sMO4b9vfPwLpGIGWYGRwAqeTNNCPiia6zLO7+STqmKItWSJeJwPfwCEqOceV7xA88h9cmdyYz6u+qz5OPT/jH4R9sctrIpEk+MW9C31BzW02SkQyf9j6kNknNhQdvaLnMC00PkslnVdySJM5lxh3l6/cITg6uSeHf5F3LOTsPToyD4o7QbltCufWLHhFPlMUu4kkMfA8NhguroNogsB+n1gAsP32PqUf8cbLIzfw2lmr1EY0EgaRCIOjdF6pOO4lJ8mQETKpPCrkPe2kAUsQUDWCJpoJAEicgNtCT+AQQ7qtPYNSoUcydO/dnuvZUqVIxZMgQJk6MefNYfcnKtlTspcBjDriNh/LtoOnSGJ3wffwOp8XnVCfhL4+tSyoT46n/tN7rAWP33cShTA6Wd4j+YWfQqUEcf3ic4RWH075U7CnslR3dhJH+PeI7jfc2RkpXO8RmCJ3KdEoYxUJL3ARu7IadzmCWGQbeBNO0shFTbN2QzULjFpRk44nHbHCbAOXbQtNf03mHhoVTeqwrET/AZ1QdsqdPbdyDnMis//HjB6XGuhIaFsGpIXYUzKbeelN7e21efnnJpgabKPdbuURGBR6EPKDR3kaYJDPhVOtTZEyV0fh83NkFbuwCa2doNE92+0U8kR1pNIFJNqYoj1ZokIlArVmnuP/qE9IBuQoFM2KzyYaIHxG4tXQje5rsMmmRT4wU82y32vLh2wd2N95NsczF2Hz+ESP3XFcdCJcOhhviI/3uln5/L2xrSaPyueU1UTpoJR24qj8DKvWUV7aa0kQ8UROUDs1EPPl/8KJK3JRtAS1Wq0V21J7rbDr/iL61ijLEoYRafUQjQSCpEAiP+EHJMUcIC//B2b9rkTdzGr25LmKK3tALxYKA0REQG+hGN2TCYH0S+Pz5sypde0REhKr2ebp0Mp/sVsA5xV4KLq+H/X9BsXrQfkeMls8+FsDCk3dpYJ6TJe2tFfBOOZHH/V7Qff1FyuXNyP6+1aIpan2wNX6v/VhQawG18us39ZByFP6VHFULMGvqrKpb6NJNDPHokYCUcneFHTy7GuttXl2sU2zd0MWoRNY3ScaT6zthV1coYAvOh38ZUf/n73Gc50GG1Cb4jqtHMumqs3gMikDdOae5E/yRDV0rUr1Y/BllQr6GUG1rZPz0autFOumGcyJ8mu1vxp23d5hkOwmnok7G5eGnVzC7JESEQY/TkNtCdvtFPJEdaYwCk2RMSRi0QosMBDqt8eH07ZdMa2ZO5RIRqoNHZiZmnG933mDjfbtD7bj+6jpz7eZiX8Ce8Qdu8s+5B3SrVojRDUvLQEV+EdIGv7TRL5Ufk8qQyfZ8+wTTC0L4N+h7EbIVk020JoJEPNGElvZtRTz5Dzu/fbC9I+StAN1OqAW14xofztx+yYzm5WhVIZ9afUQjQSApEYg6VLele2WqFMmqN9dFTNEbeqFYEDA6AmID3eiGTBisDwIhISGEh4eTJUuWX9S/efMGExMTMmTIoA+z1NKp2EuB/2HY2hZyW0EP9xhtqT/fg1vP3jOnVXmaWeVVy15DaXTjaQgNF57lt/SpuDDKPppZNbbW4O3Xt+xstJMSWRL/yeKwiDAa7m5I0KegJHHr3lDmYax2BJ6C9U5gYhZ5+zytvD88FFs3DB6s8gYm6Xjy2AdW14WM+WDgjV9gH7r2jD6bRb1A5Weg9hqiatRPblqW9pXir1F/NfgqHY50IGfanBxvEVk3NjE+S68uZYnvEuzy2rGwzkLjcjHqZlVuS+hxShHbRTxRBOtPoUk6piiLVkiXkcC4fTdY5/VQtbFb1TyYPm59KJ65OLsa75JRi7yihnsM51DgIfpb9aebeTc6rD6Px51XTG9uTusK+eVVJpO0TecfMmrPDaoXy8aGrpVkkgrcPgabW0LG/DDgGqp6Lnp4RDxRFrqIJzHwDboSeWg9bXYYeketAfhvxg1RkkotZKJREiMQFU/1fchExJQkNvGEu4KADgTEBroO8ETXpEOgfv36NGrUiN69e//i9LJly9i/f7+qJrqhPoq9FERthGSSfkhfj+a+lJqn+OgjSH9G1bszVEYx2fXq41dsJp2Isd7r57DPVNoc+VHiXNtzZDA13AMUcjLfHrCdid4TyW6WncPND5MqRSo5xQtZmhBY3wQC3aFiD2gwU5OearVVbN1QS3vibpSk48mHFzC7OCRLDqODIUXKn4M9/8Qd5p64TUvrvMxsWT5xTwIj9c5l/03Wej5Q+2bbzts7Ge81Htvctiyr+2vKfiNFEKPZd9/epen+pqRMnpIzrc8Yz017KZPJQmt4cw8azQfrzooMi4gnimD9KTRJxxRl0QrpMhJYffY+Ew/6qbKSVbW8xfQL06lboC5z7ObIqEVeUUt9l7Lk6hKaFG3CRNuJVJpyghfvv7K7d1Ws8meWV5lM0q4+fkeTxefImtaUi6Pt5bvdf2Q4nF8KVp2g8QKZrNVcjIgnmjPTpIeIJzHQ+vwGZhSK/ItRzyGlWZxIpW9fpca48i08Qu/pqTUZe9FWEEhIAlFlDv6qXZTB9fR3GUnElIQcdaFLEDBuAmID3bjHT1ifQASkm+fnzp2jVKlSv2j09/fH1taW169fJ5AlmqtR7KXg9T1YaAUp08KooGiGPQ8JpfJUN0ySJyNgUn1SJNfPSXXNiUX2iFDV5on5x0/gu0Cc9jmRLmU6vNp5aavC6Pp9C/9Gg90NePH5BaMrjaZ1ydZG50OiMDjoKqyoCclSQL/LkLmg7G4ptm7IbqnxCUzS8UTasJucE76HQn/fX+Zuvy1X2O8bxIj6JelZs4jxDWwSsHiVRyCTDt3id/NcLG5vFa/H032ms/HWRjqW7sjQCkPjbW+sDaRaudI7wf2Q+0yrPo3fC/9uHK7c94B1DUFKrT/YH1KlV8RuEU8UwfpTaJKOKcqiFdJlJOB26wVd112kdK4M2FY6w9aArXQp24WB1gNl1CKvqCP3jzDszDAss1uy0G415ccfUym45lKPDKn/PQAor1bdpIWGhVN6rCsRP+D8yDrkyCBTya1FFeFVALRaD6X1V6pExBPd5kd8vUU8iYGQ9NtlWn74+h76+MBvcW/2Bb37QtVpJ432G1h8c0T8vSAgB4Flp+8x7Yg/Tha5md/GUg6RWskQMUUrbKKTIJAkCYgN9CQ57MJpTQmkTZsWb29vzM3Nf+l6/fp1KlWqhFQnylAfxV4KQt/DtP/VdBr5DEzT/ILg8qO3NFviSZ5MZpwbXttQ8cRpV/UZJ3n85gs7e1XBpuC/6fs9nnjQ2623waceVAL65lubmeozVZWS93DTw6T8zw1SJfQJmTEQ2OEMN3dD2RbQYrUiiBRbNxSx1riEJvl4stAGXt+BjvuhcM2fg9dgvgd+z96zqqMN9qVzGNegJhFrj918To8NlyiXNyP7+0bWNo/r6XGsB17PvBhfdTzNijWLr7lR//2CywtYeX0l9vntmVtrrnH4srML3NgVefNcuoGu0CPiiUJg/yc2yccUZfEK6TIRuBv8Afs5Z0iXygTbarvxDPI0+Njg99qP1gdbkyV1FuZU3kvzpZ7kzJAa75F1ZKKijJi6c05zJ/gjazrbULukDO9TIU9gbpnI7EHDAsFMf7fvRTxRZs5ESRXxJBa+S23hxQ1ovxOK1Y1zEM4Hvqb1Cm8KZE3D6aG1lB0wIV0QMFICh68/o/emy1jlz8Tu3rZ680LEFL2hF4oFAaMjIDbQjW7IhMH6IGBnZ6faPF+48Nfaln369OHatWt4eHjowyy1dCr2UiCdxp2UHcK/RaZwl1K5/+eJqmdrUyAzO/+sqpathtao1XIvfO6/YWFbSxqVz/3TvKhU5kZZ71RHyF/Dv1J/V31efnmJSxUXmhdvrqNE0V0jAm/uR2Z++BEBPT0gVzmNuqvbWLF1Q10DEnG7JB9PNjSDe27QeBFYdVCNtJTxo/Q4V0LDIjg1xI6C2dIm4hlgvK7devae+vM9yJQmJVfH1ovXkTo76hD8OZgN9Tdgkd0i3vbG3MD/jT8tD7RUlTaR0rinSfnroUKD8+3TK5hTKvIdrsdpyK3c+Ih4ouzoJ/mYoixeIV0mAtLN6FJjXZF+PpawWUTQpyescVhDhZwVZNIgv5hPYZ+ovLmySvDgEltx2ftA/tri8pvNgK1X2Hs1iMF1i/NXnWK6a7i8Hvb/BXkrQLcTusvTQYKIJzrAU6OriCexQNrSDgIOQYNZULF7nCR3XHzM0J3XqFY0Gxu7RZb8E48gIAj8SuD6kxAaLTpLtnSpVOVG9PWImKIv8kKvIGB8BMQGuvGNmbBYDwSk9O329vZUqFCBOnUiT527ublx4cIFjh07RvXq1fVglXoqFX0pmF0KPgRBd3fI82s616hUrw3L5WJRu/hTvarnTcK26r/1CvuuBjGyQUl61Pg3pfC8S/NYfWM1bUu2ZWSlkQlrlAFoW39zPTMvziRPujwcaHpAVfdVPAlE4NBguLAKitSBDrsVU6rouqGY1cYhOMnHkwMD4NI/UGMY1B6lGrTHbz5TfYY7pimS4zfBAZMUyY1jMJOYlR+/fqfsuKMqr+NLYfv+23tst0TeKPBs60l6U2XSgxvKEEhp3KUSJ08+PmFWzVk4FHQwFNNitsNzIRwbDbksoOdpRW0V8URRvKoSU+I3irKMhXR5CFSd6kZQyCcylhpLBOG4tXQje5rs8ghXSErt7bVVh4brZJjM3vMp6GJbiLGNSiukTR6xK88EMvnwLRzL5GRZB2vdhW7vBH57oeZwqDVCd3k6SBDxRAd4anQV8SQWSEeGw/mlUPUvqDcpTpJzjt9mgdsd2lbMz9Rmv2avVGMIRBNBIEkQCPkcRvkJkWVRbk1wxMw0hV78FjFFL9iFUkHAKAmIDXSjHDZhtD4IXL16lZkzZyL9aWZmRrly5RgxYgTFislwsltBhxR9KVhWDZ5fjzGd1cSDfqw+e58eNQozssGvteMVdFdW0VOP3GL56UCcbQsyrlGZn7KlenhSXbzB1oPpXLazrDqNQdiX719w3OXIm9A3TLKdhFNR/dXCMwZestn48SXMKxtZP7rTAShUQzbR/1+QouuGYlYbj+AkHU885oDbeCjXBpotVw2ae0Awzv9coESO9BwdqNy8Np4ZYriWWk08zptP3zjUrxplcmeM1dCrwVfpcKSDanNE2iRJCs+cS3P458Y/OBZ0ZGbNmYbrsnQFdJFUSuEuNJwHNs6K2iriiaJ4VcKTdExRHq/QIBOBtiu88X4cQLqiszAzMeN8u/MkS5ZMJunKiHF2debii4sUiOjOjYAiqg0xaWPMkB/Pu69ot+o8+bKY4TFMxzJqEeEwozCEvoMuxyC/fm/Uinii/MwT8SQGxt5LwXU4lHaCVuvjHISB266y58pThjmWoLddUeUHTGgQBIyUgLnLUT6EfufYwBoUzyHDQesbu+HtfSjmADnLqkVFxBS1MIlGgoAgAIgNdDENBIFETkDRl4L1TSDQHZosA4u2v5DsvekSh68/Z1yj0jjbFjJKymvP3cflgB/1y+Zk6R//nuD/4/Af+L70NY5bZgqRX3NjDXMvzaVAhgLsc9pHiuT6OTWqkHuGKfbkJDgzE3JbRmZ9UPCjo6LrhmHSFVapQUCWeXF9J+zqCvmrQpcjKq1RGUt+N8/F4vbGmbFEDXyJoonT4nP4Pn7Hsj+scSybM1afdt3ehYuXC1VzV2V53ciDEon9ufHqBm0PtVVtDElp3FObpDZMl+97wLqGYJoOBvtDKhk+WsXhqSzrhmGSFFbpSEDMDR0BGln34buuscPvOGnyr6V45uLsarzL4D1w8XRh151dmH5w4PWTWuzsVQWbglkM2u53n79hMeG4ykbfcfXIaKZDprAnl2BVbUiVMbL+eQoTvfou1gy94jdo5YrODf/DsLWtWll7Wiz15OLDt9FKABo0PGGcIKAHAg3me+D37D2rO9lQp1QO3S3Y3AZuH4H6M6BST7XkKbpuqGWBaCQICALGQkBsoBvLSAk79U4gIiKCu3fvEhwcjPR///epUcNwb8wp+lKwqztc3x6ZykpKafWfp8nic1xV4yO73gc2DgNcbzyn18ZLWOTLxN4+kalopafO9joEfwlmy+9bKJtNvdONhuynNrZ9DvuMwy4H3n19x7Tq0/i98O/aiBF91CXw9SPMLRN5A6TlOijTRN2eWrVTdN3QyqLE1SlJx5MnF2FVHciQFwbdVA3siN3X2OLzmH61izKoXonENdiJzJu+my9z8NozRjUoRfcahWP1bsaFGWzw28Afpf7g74p/JzIKMbsjpXGX4uKzT8+YX2s+tfPrePNPKWo7u8KNnWDdGRrNV0rLT7kiniiOWPW7RPxGUZ6z0KAbgaWn7jHn/GpS5zyAfX575taaq5vABOi99sZaZl+aTVhIeUKD2uI7th4Z0+iwIZ0ANksqbKed5Om7L2ztUZnKhbNqr/X0DHCfDKUaQeuN2suRqaeIJzKBjEOMiCcxwHl+A5bZglkW+Pt+nINQacoJXrz/yr4+tpTPl0n5ARMaBAEjJdBrwyVcb8p44WpOGXj/BDofhoL/fruNC4+IKUY6eYTZgoAeCIgNdD1AFyqNj4C3tzft2rXj4cOHSB9I//tIqefCw8MN1ilFXwpcR4D3ErDtD3Un/MIg6sfD/r62lMtrnD8epFt20m27nBlS4z2yjsq/sPAwrDda84MfnGp1iqxmOnyUMNhZo55hK66tYOGVhRTOWJg9TntInkzULVaPnBatvJbA0RGQpQj0vQAK3/hXdN3Qwv3E1CXJx5OPwTBLKn2SDEYHg4kpLZd5cuHBW+a3scDJIk9iGu5E58sMV3+WnLpHxyoFmOAU+wGyXsd7cS7oHC5VXGhevHmi4xCbQ1EHBxoWbsjU6lMNz+9Pr2FOSQj/Bj1ORWY0UfgR8URZwEk+piiLV0iXkcDh688YeGIcplm8cC7rzCDrQTJKV0aU+yN3+rn3I/xLHtK9HoLPKHtlFMkstcf6ixzze8GYhqXpWk2HTHBrHOGRFzScCzZdZLZSc3EinmjOTJMeIp7EQuvrB5iaN/IvRzyJNXNPaFg4Jce4qppdHlOXLGlNNcEv2goCSYrA5EN+rPS4TxfbQoxtVFo33z+/gRn/i3XDH0Hq2MuM/VeRiCm6YRe9BYGkREBsoCel0Ra+ak3AwsKC4sWLM378eHLlyhWtXlvGjOoFaK0N0KGjoi8FZ2bByYlg8Qc0WfzTyrDwCIqPPoJ01sBnVB2ypzfQNKbxcA3+EErFyW4kTwa3J9XHJEVyHr9/TIM9DUidIjU+7X0MvnafDlMn3q4fvn1Q3baT/pxVcxYOBR3i7SMaaEEgPAzmW0SeqE2AerWShYquG1ogSExdknw8kQLD5JzwPRT6XYEshYmqq33wr2qUzWO48TQxzUNtfdni84gRu69jV+I31jpXjFWM/Q57Xnx+wYb6G7DIbqGtOqPrF1X7PV3KdJxufRrTFAb28dRzIRwbrVYaUrngi3giF8mY5ST5mKIsXiFdRgI3g0JosacLJuluG83hqsCQQJz2OvEj3JRyEYvY3K2KjESUEzXvxG3mnbhDM6s8zGmlZQwODYHpheBHOPT3hcwFlTNYTckinqgJSstmIp7EAU76t/DlDfQ6F2t95bvBH7Gfc5p0qUy47lIvSX8n0nIKim5JiMAGrweM2XcT+1I5WNXJRjfP75+BdY0gU34YcF1tWSKmqI1KNBQEkjwBsYGe5KeAAKAOgbRp0+Lr60vRokXVaW5QbRR9Kbi0Fg70h+KO0G7bT7+llHFS6riUKZIRMLE+yaUdaCN8IiJ+qA4CfI/4gefw2uTOZIb3M2+6H+tOwQwFOdD0gBF6Ja/JS64uYanvUoplLsbORjvFLXR58UZKu7oF9vaCtNkjfxCkVP5AiqLrhhKMjEimiCfAogrw6jZ03MebHFVVG+jJkoHfeEfMTFMY0WgmPVPP3X1F+1XnKfJbWtwG28UI4OO3j1TZErnJcK7tOTKYZkgyoCJ+RFB3R11VmZfFdRZTI68BlfiRDq8ssoHXdxPsMJY08CKeKDv9RUxRlq+QLh+Bj1+/U2m9PclNX7Ow1grs8hv+ZvR/M481yLiU6U2qyQdEQUnH/V7Qff1FSuZMj+sALePQrYOwrX1k9qt+lxW0Vn3RIp6oz0qbliKexEFteU14dhXabIGSDWJs6O4fjPPaC7r9u9Nm4EQfQcAICbgHBOP8j0z/XqKyNZZsCG02qU1DxBS1UYmGgkCSJyA20JP8FBAA1CFQu3Zthg0bhqOjozrNDaqNoi8FUT+s89hAd7effl988IYWy7zIl8UMj2EGWgNUzVGKqiG368+qWBfIzJ47exjrORbb3LYsq7tMTSmJt1nI1xDVLfRPYZ+YZzePOgUiU92LRyYCERGwtCq8vAV1xkL1wTIJjluMoutGgnhguEpEPAE2Noe7J6DxQnwyN6TVci/yZjbj7N/GHS8Md9bJZ9mj15+pMdOdVCbJuTXBMcYDcr4vffnj8B9kN8uOW6t/3w3ks8KwJU05P4Ut/ltoUrQJE20nGo6xD87C2t8hZVoYEhBrClK5DRbxRG6iv8oTMUVZvkK6fATCIsKwWm8DySJYXG0PNYoYx8F0m7V1+JosmHb5pzKiVkP5gCgoKejdF6pOO0mK5Mm4Od6B1Cm1OJwYVaqtQjf4fbaC1qovWsQT9Vlp01LEkziobe8IfvvAcRpU/jPGhuu9HjB2303qlc7Bio463qjVZgBFH0HAiAjce/mROrNPk8Y0hSpOSaVRtX72/Am+m6HmcKg1Qm0xIqaojUo0FASSPAGxgZ7kp4AAoA6BPXv2MHr0aIYOHYq5uTkpU6b8pVu5cuXUEaOXNoq+FDzyhjUOkSndpNRu/3v2+wbRb8sVKhbKwvaehn+7IK6BabHUk4sP37K4nRW/l8vF4quLWea7jBbFWzCuyji9jKmhKV1weQErr6+kVJZSbGu4TbeXX0NzTt/2BLjCltZgmh4G3gCzTAlikaLrRoJ4YLhKRDwBDg6Ei2ugxlC2pOuoSgles/hvrOsSe0pwwx3RpGWZVKJFqu8YHvGD8yPrkCND9IwYUQfNKueqzMp6K5MWIODC8wt0OdpFdfP+VOtTpEz+6zuj3oDs6gbXd4BVJ2i8IMHMEPFEWdQipijLV0iXj8DD9w9puKchPyJSMsVqP43L/6+msHwqFJFkubwV31PfomOxIQyt2kkRHXIL/fHjhyq7z9vPYRzoWw3zvFqUx5HS4UppcZ0Wg+UfcpuolTwRT7TCpnYnEU/iQCWVv5HK4FT6E+pPi7HhpIN+rDp7n67VCjGmoY41ndUeNdFQEDBOAqFh4arflNJzabQ9WdOl0t6RZdXg+XVovRFKNVJbjogpaqMSDQWBJE9AbKAn+SkgAKhDIHny5NGaSSfkpB+n0p/h4eHqiNFLG0VfCl7fg4VWYJoORj796d/y0/eYesQfJ4vczG9jqRe/5VLad/NlDl57xujfS9GtemFGnR3F/nv76WfZj+7lusulxqjlvA19q7qF/uX7FxbVXkTNfDWN2h+DMn6NIzzygqp/Qb1JCWaaoutGgnlhmIpEPAHOzoMT46BcayaaDmC1+NhkmJM1FquqTT/Jk7df2NmrCjYFs0RrNfPCzP9j7yygqlrWAPwJYmB3YGKDXaioKHZjJ1712R3X7uReu1uv3YqtKAYiJrZgYWF3K81b+xxRUZTTZx/O7LXuem9dZv74Zu78++yZ+X9W+a+iTYE2DC492KR804Wx4RHhOG925nXQaxZVW0S5zOV0IVY7GZ9ewfT8EB4CnY9CZsO9m4l4ot3QxdZbxJTYCIm/y4WA90Nvuh/qTnhQRnrkXUCPyvK/gf4pOIzi83uQIPUJWuR1ZXjZQXLBGasdbZae5njAS/5pVIgWpbPF2j5aA6nkx5Rc8PkVdDoCNsXV66+n1iKe6AnsV7EinvyB75klsPdvyFcHWq6LsWGX1b54+D1jbH17/iqXQ7+DJaQLAnGAQJlJh3j6Pgj37uUoli2VZh6FhYCbjfI3jnSpS7rcpeIjYoqKoEQzQUAQQGygi0kgCKhA4P79+39slT17dhWkGKeJXl8KvryFf7/6PvzZt9rMY3b6seLEPbo65WJIrfzGcVxHWiftvcbiY3foWD4nI+ra0X5/e3yf+eJWwY26tqaRxk9HKP4oZvq56fx39T8KpS3E2tprxS10XUAPPA3Lq4N0e7HvZUieWRdSVZKh13VDJQvibiNdx5P58+czZcoUnjx5gr29PTNnzqRChQqxAtywYQMtW7akQYMGbN++Pdb2UgOdzYur22BLe8hahnYW4zl64wVujQrRUt0PvCpZLRrpmkDLxac4eecV05sVoVHxX28QdvXsis8jH0aVHUXTvE11rd4k5I07OY7NNzfLJ1vNiblwYDhkKgJdjhmUoc7WDYNabTrKdB1TDOm5mBuGpG18XWuvreWfM/8Q+t6e+pmGMrlJEeMbFYsFlx++pfHaqSTKuINKWSsxx3mO7G2OMtBt7zUWHbuDa5nsjHcpqJ7dH57BtLxAPBj2GBJYq9dfT63FmqEnsF/FinjyB763DsLaJpChIHTzibFhrVneXHvynuXtSuKcP4N+B0tIFwTiAIGmC09w9t4bZrcsRv0iGn7renoVFjpCwuQwJBDUSAUvYkocmETCBUHAQATEBrqBQAs1goCxCOj1pUA6nT4+HUSEQj8/SKH8kB51+nZcA3vallX9BKCxGP1J7/Ljdxm32586hTIxr3Vxam6tyaOPj1hVaxXF0hvuBpcc2fxo06svrxRsgsKDWFh1IY42jnI3Wf72rW8FN/Yo0yZK6RMN+Oh13nK3swAAIABJREFU3TCgH3Fd1caNG3F1dUXaRHd0dGTRokUsXboUf39/smX7/W0j6QOZ1N7W1pbUqVMbfgP94TlY6gzJMlM+bJ7iNrNU7kMq+yEe+RMYvOUyG30f0K9qXvpUzfOLwdW2VOPpp6dmHSdPPj5J54OdSZ0oNYebSnVoNag/q6upIL2rzS0Fr25B3RlQsoOuJKskR8QTlTCZZSMxN8xr2N1Ou7Hu+jqCXzpRLGlrNppAma8t5x4yeO8WrLMtI2eKnOx02Wkyg7bj4iP6bLhI8Wwp2dZdzd9ltw/D6oaQJjf0Oicbn8WaIZuhkJ0hep8bL27AvNK/3aSTMlMWHnOAD8FhePavSO70yWTHSBgkCMiNQP9NF9l2/hEDa+TTPCvNpQ3g3gWylYMO+9RyUe/rhlrWiMaCgCAgZwJiA13OoyNskx0BaVMiMDCQkJCQaLbVr19fdrZGGaT3l4Kp+eDjU+jsBZmLKtTWn3ucyw/fsaRtSarZmfbp231XntBt7XnFx4fNXctQck1JwiLDONjkIBmTZJTtuBvDsMlnJ7PafzVF0xVVbJxI5Q3EoyGBxxdh8ddU+D3OQLp8GgrSrJve1w3NzIpTvXQRTxwcHChevDgLFiz4xqZAgQK4uLjg5uYWIy+p5IiTkxPt27fH29ubt2/fGn4D/eMLmJqbSOKRP3gFwZFWnB9ZjdRJEsSpMY6rzsw9fIupB27SuHgWpjWLfoPwY8hHyq4vq3D9eIvjpEioQd3VOAAuNCKUypsq8y74HctrLKdUxlLG8+recVhRB6ySwN83IKFhP+qKeGKYoddFTDGMpd+1iLlhaOLG1dfNsxvHHx0n6Ekj0kRU5NSwKsY1SAXtbvuusdjnHEnz/Et8i/icbX1W8b+m8AQ8/0DV6cdIbGXJ1bE1sLRQ43dZVNaSAvWh+WrZuCvWDMMMhYgnMXAO/QITv377GXQXrKMf+n3zKYRi4w8qOl4fX5NEVkY8OGmYaSK0CAJaE5hx8CazDt2iRams/NO4sGbyPIbDyblQujPUnqKWDBFT1MIlGgsCZk1AbKCb9fAL51UlcOfOHRo2bMiVK1cUm4LSCVPpidogNNsa6BKEBY7w7Cq02Qq5qyq4lJzgycuPwezuVZ6CNqb98fxC4Bsazj9B5hSJ2NbbHulmXfx48fFt42vcG2WqTl4Dtnvx+YXiFnpIRAhLqy/FIZODAbXHAVWfX4P/DriyBe5LqeEi/1hnTZ8eix8T+qOrq3giHeSytrZm8+bNivgU9fTp04eLFy/i5eUVoxOjR4/m8uXLuLu7065dO+NsoEsxdGImCPuCU/B03ifOyoVR1fUHXUjWKYGoW21SxgApc8CPz5UXV2i1txXpEqfjcLPDOtVrasJG+YzCPcCdFvlaMLzMcOOZv7UjXNkMxf+C+rMNboeIJ/pFrquYol8rY5Yu5oYxqBtPZ51tdQj8EMjn+50I/5zLJDaZ/rfiLIeuPyWl3WjCI0PZ23AvWZNnNR5ENTSHR0RScLQHX0LD8ezvRO70SVXvvb07XFwLlYZCpSGq99NzS7Fm6BewiCex8J2SBz49h85HIXP0TIRSuYf6c31IlywhZ4crv4mJRxAQBP5MYOu5hwzYfAnH3GlY27GMZrhW1oe7XlB/DhRvq5YMEVPUwiUaCwJmTUBsoJv18AvnVSVQr149LC0tWbJkiSLl7ZkzZ3j16hUDBgxg6tSpKtWbVVWXrtvp/aVgVQO4cxQaLoYizQkJiyDvCGXqnHMjqpImaUJdu2RQeU/fBVHG7ZDi1P7G3hlo79EOm6Q27G+836B2mIqySacnsf76esVtO+nWnXhiIRDyGW7uV25uSLXVpHIIUU/28tBwAaT8fSpuffHV+7qhL8NNQK6u4snjx4+xsbHBx8eHcuXKffN80qRJrFy5khs3bvxCQ2rbvHlzxQZ72rRpY91ADw4ORvon6pHmRdasWXn37h3JkyfXjvbc0vDyBq1DhhKSrSKbu373QTvBore+CZwPfEOj+SfIlCIRJ4dGv0HofsudUSdGKQ5QSQepzPnxfuhN90PdFYcJPJt6YhHPwvA4pINZ0/JBeAh0OgI2xQ1ug4gn+kWuq5iiXytjli7mhjGoG0enlJWj9JrSiixeBI7gw6ekHOhXkbwZDJsRQ13vK04+QuDrz+QrsYjHn++yoOoCytuUV1eM0do3nO/DhcC36teXXVQRnlyCZqvBTj6Z9sSaod+pJOJJLHyXVoWHZ6HZKrBrEK3xnstP6LHuPCWyp2JrN/GbRr8zVUiPKwTO3H1Ns0UnyZo6Md6DnNV3SzqUP9kWvrzW6HeOiCnqIxc9BAFzJSA20M115IXfahGQNhoOHz5M4cKFSZEihWIDPV++fIp/J22iX7hwQS15hmys95eCLf+Dq1ug+kQo15MHrz9TYfIREsa3UNwsMPU03tLpfelAgPS/E9sE88+50ZTOWJplNZYZchhNRpdU97bWtlqERYSxouYKSmQoYTK2G8zQ8DC4e1R50/zaLgj5+F11hoJQqAkUbAIpjXfDRe/rhsFgy0+RruJJ1Ab6iRMnKFv2+y3giRMnsnr1aq5fvx7N+Q8fPihimFQvvVatWoq/xXYDfcyYMYwdO/YXiDrZQF/bFG4dYHBoJyxKtMWtkYZp2+Q3xHHeIinDjJRpRqrSIcX5hPG/p6mc5juNFX4raJW/FUMdhsZ5Fn9yMDQ8FKeNTnwI/WC8evAn54HHMMhYGLock1InGXxMRDzRL3JdxRT9WhmzdDE3jEHdODoD3wdSx70OCS0TkuHNNPwefZR9qa8vIeHYjd6P9H2+ThUPjj0+wpDSQ2hdoLVxIGqgdcT2K6w5FUgXJ1uG1iqgmoSIcJiUGcKCoNd5SJNLtX4GaCXWDP1CFvEkFr5R372qjQfH3tEaLzh6m3/3X8elaGZmtoh+O12/oyakCwKmS+DHy0o3xtckvqWah43fP4bpBUA6pDzsMVglVguGiClq4RKNBQGzJiA20M16+IXzqhJIlSoV586dU9w+z5UrF0uXLqVy5crcvn2bQoUK8fnzZ1VFGbyd3l8K9g2G0wuhfD+oOobTd17RfPEpcqSx5ujAygb3Vx8Ky7kd4vG7INrXDmDL3aU0yNWACeUn6ENVnJA57uQ4Nt/cTNlMZVlcfXGc8ElrJ6Svb4/OweVN4LcNPr34LjJFNuWmeaGmkMFOa1W6EKD3dUMXRpqoDF3FE3VTuEu3zosVK6bIphL1REREKP6vhYWF4sa6FN9+fPR6A33PADi7lLlhDUhUYwwdK9ia6Iian9lSGRu7Ucq0sIcHOGGb7nta2KgatyPLjKRZvmbmB+cnj4d5D2PXnV20KdCGwaUHG5aHFHfmloJXt6DuDCjZwbD6v2oT8US/2HUVU/RrZczSxdwwBnXj6JRqn0vxIXfK3GT+NBLptuaIOgVkHfuvPnpH3TnHSZ0kAW1r+7Hs6jLjl+RQc/jWnwlk6LYrVMiTltX/U7G01stbMLckWFnD0IdgIZ9azmLNUHMCqNlcxJNYgHmOhePToVRHqDMtWuNh7ldYdzqQ3s656V89n5rkRXNBwDwJREREkn/UfkUWU+9Blcma2lo9EDcPwLqmkC4/9DitXl9AxBS1kYkOgoDZEhAb6GY79MJxdQhUqFBBcdPcxcWFVq1a8ebNG0aMGMHixYsVG+tXr15VR5xB2+r9pcBrChyZAMVcocFctl94RN+NFylrm4b1nTWsY2NQQrErazTfh/OBb6lS3oszr/bRrUg3uhftHntHM23x6OMj6m6rq0jTuKb2GoqkK2KmJIAXN5Xp2aV/3tz9ziFxarBvCIWbQZbS0g6mrBjpfd2QlbeGNUaX8cTBwYESJUoobpVHPXZ2djRo0AA3N7dojgUFBREQEBDt30lxTLqZPmvWLPLmzUuCBAn+CEOn88JnFhwcxfbwcqRos5LK+dIbdiCENq0I1JhxjBvPPrCyQ2mc8qb7JqvGlho8/vRYZCD5SuRw4GH6HOlDxiQZOdD4gGGz8tzzgRW1wSoJDLgOibQsu6DhjNHpuqGhDXG5my5jiqE5iblhaOLG07f22lr+OfMPzlmdsQnpxvyjt3Etk53xLgWNZ1Qsmt0vPKTfxkuUzpmals5PFeVJTO1w8KUHb2kwz0dxCEAqraZSZji/7bD5L8hcHDofkdX4iDVDv8Mh4kksfM+tgF19IE91aL05WmPXZafxvvWSyU0K06yk8bLI6XeGCOmCgO4JOE87yp0Xn1jX0YFyudOqp+DYVDg8Xpm9sYn6GUJFTFEPt2gtCJgzAbGBbs6jL3xXmYCHhwefPn2iUaNG3Llzh7p16yrS46ZJk4YNGzZQpUr0GqAqCzZAQ72/FPguh939IF9taLme+UcDmLz/Bo2K2TC9eVEDeKh/FT3WnmfPlScULL6R+18uMK7cOBrmaah/xSasYZTPKNwD3KlgU4H5Vb9v7pmwS6qbLqWSurpVuWku1Q+MeqSbHPnrKG+a53IGSyvVZRq4pd7XDQP7Iyd1uownGzduxNXVlYULFyrSuEuHupYsWYKfnx/Zs2enbdu2ijrpP2+mR/GILYX7z9x0OS/Cr7pjuaUdvhF5ydDXS/0T53IaVDO0pePKs3hee84El4K0KZNdQeBz6Gcc1ilvuHk39yZlopRmSCa6y0FhQYo07p/DPrOu9joKpStkOCZbO8GVTVC8LdSfYzi9P2nS5bphNCdkrFiXMUU6jDVlyhSePHmCvb09M2fORNpQie2Rfgu1bNlScXhr+/btsTX/9ncxN1RGZfINpc1zaRO9vX17skQ2ZdDWy+rdijYCASkds5SWuU2ZbDQuF0bbfW3JnCQzHk08jGCNZiqDQsOxH+2hKEV2cqgzmVKokN728EQ4NhmKtYEG8zRTrKdeYs3QE9ivYnUZT/Rr6a/SDTI3bh+B1S6QNh/0PBPNiEpTjnDv1Wc2dC5DGds0hnZf6BMETJbAX8vP4HXzBf80KkSL0tnU82NzO/Bzh6pjoXxf9fqKG+hq8xIdBAFzJiA20M159IXvWhF4/fo1UporlU5ya6VJu856/zHhvxM2uSpv0XY8yKgdV1l18j49KudiYI382hkvk97jd/uz7PhdMhecxYfwJyyrvozSmUrLxDp5mvHg/QPqba9HeGQ4G+pswD6tvTwN1ZVVUqrc24fBZybc9QYilZLjWULuKlCoGeSrBQm/pzrWlWp9yNH7uqEPo01YpjbxRNrwmDx5smLDo2DBgsyYMYOKFSsqaFSqVIkcOXKwYsWKGOkYcwP9sZ8PmTfX5llkKtKNvouFheFrM5vwlDG66WN3+fGfzz26VLRlaG1lXdWrL6/Sck9L0iRKw9HmR41uo1wMGOQ1iH339ik2jvqX7G8Ysz6/hmn5ITwYOh0Bm+KG0RuDFhFPDI9ek5gSdSBLiimOjo4sWrRIUbLK39+fbNl+/0Hz/v37ivZSmavUqVOLDXTDD7dJaIwq7zGq7CiyxnemxeJTZE9jjZeMy311XOmL57VnjK1vT73iyRWHoeIRjzOtz5AofiKT4C4ZGZUxZmnbklS1yxC73Rtaw/XdUMMNysor45qIJ7EPn65baBJPdG2DKvIMMjde3YY5xSF+Yhj+BOIpf7tIB1Tyj9xHaHgkPkOcsUmpwkEVVZwSbQQBMyAwcvtVVp/S8PvxnBLwKgDabIXcVdWmZZB1Q22rRAdBQBCQIwGxgS7HURE2yY5Ahw4dFClukyVLFs026VZ6r169WL58uco2x7nbHfdPwn81IVVO6HORqI8NP95KUxmOTBsu9b7DhD3+pCgwighC2dtoL1mTidRcsQ1XVO3XylkrM9t5dmzNTffvUprcwxMg8MR3H7KWUdY1l9K0J1EzFZUMSIgfE/obBF3GE/1ZGbNkXc4Lr/PXcNr5tczHiOcQP6Gh3RH6tCCw/Phdxu32p3ahjMxvXUIhaXvAdkb6jMQhowNLayzVQnrc6nrg3gEGeA0gS9IsivcHgxy8PDkPPIZBxsLQ5di3j7zGIKvLdcMY9stdp65iilQSpHjx4ixYsOCbywUKFFCUr/pdFpPw8HCcnJxo37493t7evH37Vmygy33CGMm+uu51uf/+vuIQcjbrwpRxO4SlRTyuj6+JlaW8yhhFIYq6USqllS2bKw2OGxz5EPKBbfW3kSdVHiORVF9t/40X2XbhEf2r5aV3FRXsnlVUWXaq7U6wdVJfoR57iHiiR7iAruKJfq3U/2+U39ofFgITpJJTkfD3LUiqLD/16O0XHP85jJWltKbVUqxt4hEEBAHVCCw+dptJe69Tr0hm5rQsplonqVXIJ5hk88t/j6oLEDXQ1WEl2goC5k5AbKCb+wwQ/qtEwNLSUnG7L3366DVaX758ScaMGQkLC1NJTpy83fHyFswtCQmTw9AH1Jntjd/j9yxvVxLn/CqccleJnHEb7bn8hJ4bvUiad6Li5sG5NuewknH6bePS+q797ru7NNjegEgi2VJvC/lS55OLabqx4+E5ODJBefNceiwTQqn/gUMXSJVDNzqMJEV8oNIfeF3FE/1Z+HvJupwXi44G0OZIOZLEC4Ze5yFNLmO4JHRqSOCg/zM6rfKloE1ydvdSpnie7jud//z+o2X+lgxzGKah5LjXTUptL91cDAoPYlPdTRRIo7yxr7cnIkL5Xvb6NtSZroxLRnx0uW4Y0Q3ZqtZFTAkJCcHa2prNmzfTsOH3EkV9+vTh4sWLeHl5xej/6NGjuXz5Mu7u7qiS0SQ4OBjpn6hHmhtZs2bl3bt3JE+eXLaMhWHaEQiLCKPUmlKERYZxsMlB0ifOQIFR+wkOi8BrYCWyp0minQI99JZSn9uN2k9EJJwZXoX0yRLRak8rrry8woxKM6iaXf2bbnowUyWRyoPg16hhn4FFriX/3OfHDYmBt2V3CFjEE5WGXONGuognGivXsqPB5sZ0O3j/CP7nCVlLKaw+efsVLZecIkcaa47KOKuGlohFd0FALwT2X31C1zXnKZo1Jdt7OKqu48FZWFYVkqSHgbdU7/dDS4OtGxpZJzoJAoKAnAiIDXQ5jYawRXYEpIAaGRmpSNV+69Yt0qVL981G6dbFrl27GDJkCI8fP1bJ9jh5u0NKEzo5p9L/Ec8p7naM159C2Nu7AnaZ48bHsHP339D0v40kyTmP9NbpOdT0kErjLRpBVOraatmrMb3S9LiB5OlVODIRbuxV+mMRH4q5QsWBkEI6BWv6j/gxofsx1HU80b2FsUvU5bwYuPkSHa+0Ip/FQ2izTVnqQDwmQ+DG0w/UmHmMFImtuDS6usLuHod6cOzhMUY4jKB5/uYm44shDO1/tD8H7x+kU6FO9C7eW78qAw7BmkaQIBkMuAYJo2dP0q/yX6Xrct0wtO1y1qfLmCL9jrGxscHHx4dy5cp9c3vSpEmsXLmSGzdu/IJCatu8eXPFBnvatGlV2kAfM2YMY8eO/UWW2ECX80zT3japrFNt99oktEyoSH9uEc+C6jO8uPnsIys7lMYp7/ff19pr040Ev8fvqDP7OCmtrbgwspoic8hQ76HsvrObPsX70LFQR90oMoCUqM29LKkSc3yw8581SoeDlzprtSGhT5dEPNEPXV3GE/1YGLtUg82N5bWUWecaL1NmmwM2+T5g0JbLVMiTltX/c4jdWNFCEBAEvhG4+ugddeccJ02SBJwbWU11Mr7LYXc/yOUMru6q9/uhpcHWDY2sE50EAUFATgTEBrqcRkPYIjsCFhYWf0y1Kf2Ylj4EDR8+PFbbDXW742dD9P5SIN10Gp8WIsMJ6nWV/FMuK0y4OKoaKa0TxMrFFBo8fvuFivNmkjjLOoqmK8bq2qtMwWxZ2BjwJoCGO5W3mUwt5eEvAF/chKNu4LdN+ad4FlC4BTgNgtRfD5HIgrr2Ruh93dDeRJOToMt4YizndTkvGs33oceT4VSxvAB1Z0LJ9sZyS+jVgMCn4DDsR3soekob6NJGes2tNXn08RH/1fiPkhljueWmgU5T7rL3zl4Gew8mR/Ic7HTZqd807utbKg94le4MtacYHZsu1w2jOyMjA3QZU6I20E+cOEHZsmW/eTlx4kRWr17N9evXo3n+4cMHChcujFSWqlatWoq/iRvoMpocMjPF55EPXT27kjtlbtwbKD9yR5X8Gt/AHtey8svatOPiI/psuEipHKnY3FV5qGTBpQXMvzgfl9wujHccLzPKvzfn3edQiow7oIzXo6qTwtrq943PrYRdvcG2ErTdITsfRTzRz5DoMp7ox8LYpRpsbrh3hUvrocooqDBAYdi0AzeYcziAVg7ZmNSwUOzGihaCgCDwjcC7L6EUGauMUX5ja5AkYXzV6OzuD77LwLEPVBunWp+fWhls3dDIOtFJEBAE5ERAbKDLaTSELbIjIKUslG6gOzs7s3XrVlKnTv3NxgQJEpA9e3YyZ86skt2Gut1hlPSIU/LAp+c8bn6AcitfktjKEv9xNfT7gVgl6rppFBoeQcHpQ0iQfh9VstZgpvNU3Qg2EylRN+9q5ajFZKfJpuf1m3vgNVn5YzkyQmm/VNu80jBIl9f0/FHBYvFjQgVIajbRZTxRU7XOmutqXkhxVfqhPCBsCX/FPwjl+0PV0TqzUwgyDIGSEw7y8mMIu3uVxza9FQ7rlLdujjU/RqpEqQxjhIlo+RjyUZHGPSQiRL+Hyd4GwqwiyljV4wykM37pFF2tGyYy1AYzU5cxRd1DvtKt82LFiiGl+416IqQDtVJSHgsLxY31XLliL8sh5obBpotRFa27tg63M244Z3VmlvMshS0Tdvuz9Phd/lc+JyPr2hnVvpiUT/W4wdwjAbQsnQ23RsoNsX139zHo2CCKpS/GqlqmdZi6/L+HefjmC+s6OVAuV9rf8943GE4vhLI9ocZE2Y2LWDP0MyS6jCf6sTB2qQabG0cmgde/UKId1FOuZ303XGD7xccMqZWfrk6xx77YvREtBAHzIiB9F5A20vf3rUD+jCpmMV1aDR6egUZLoXBTjYAZbN3QyDrRSRAQBOREQGygy2k0hC2yJCDVN+/YsSPjx49X1OnT9DHU7Q6jpEecXw6e++FXZSV19lhhmy4JhwdU0hSVLPsVm9eNsKTHqZ+9DRMrDZaljXI16vrr6zTd1VRRP367y3ZsU9jK1dTodr1/DMemwPlVEBGm/Fu+2lB5GGSM26fLxY8J/UxRXcUT/VgXu1RdzYvnH4IoPfEQnePvZlj8dVCwCTRZFrsBooWsCLjM8+Hig7csaF2cbJle02JPC1InSo1X85jrJcvKeCMY0+twL44+OEq3It3oXrS7fizwHAPHZ0DOivDXLv3oUFOqrtYNNdWaRXNdxhSpzFSJEiUUt8qjHjs7Oxo0aICbm1s0nkFBQQQEBET7dyNGjEC6mT5r1izy5s2LdNA4tkfMjdgIxY2//3vmX9ZcW0M7+3YMKKm8sbn65D1G7vCjaoH0LP1LWUdYTk+X1b54+D1jVF07OpRXZpnyf+VP893NTTLORfkzok4BOlb4w++wFXXhnjc0mA/FWstpSBS2iDVDf0Oiy3iiPyt/L9lgc+PCWtjRHWwrQ9vtCoOkrFrnA98yr1Vx6hTOZAz3hU5BwKQJ1J3jzdVH71nStiTV7DLE7ot0aNMtC4R+gu6nIX3+2PvE0MJg64ZG1olOgoAgICcCYgNdTqMhbJEtgWTJknHlyhVy5NA8xZyhbncY5Qb6ynpw9xhniv1Ls5NZKZ87LWs6xq36Tw7LWvE5/hUaZ+/DmEqmU/dOLv9RRW0c1LOtx6QKk+RiVsx2fHyh3IA4uxTCg5VtpB/JziMhSwl5264j68SPCR2BjEGMLuKJ/qz7s2RdzYuoepxtU1xkXPBkyFIaOh40lltCr4YEeq+/wM5LjxlWOz8ZbfwYfnw4pTKWYnmN5RpKjNvddt7eqWD0YxpjnXocGgQz7ODzK2i+BgrU06l4TYXpat3QVH9c76ermLJx40ZcXV1ZuHChIo374sWLWbJkCX5+foqMW23btlXUSf95Mz2Kryop3H8eCzE34vrsVPrX3bM73o+8GVlmJM3yNVP8u2M3X9B2+RnypE/Kwf5OsgPhPPUod15+Ys3/HCifR3lj+1PoJ8qsK6P4/8dbHCdFwhSys/t3Bs0+dIvpB2/SsJgNM5oXjblZZCRMtoUvr6HzUchcTHb+iTVDv0Oiq3iiXytjlm6wuXHvOKyoA6ltofcFhTGlJnry4kMwO3s6UjhLSmO4L3QKAiZNoPvac+y98lSRkUbKTBPr8+o2zCkOlglh2GOwVDHt+0+CDbZuxOqQaCAICAJyJyA20OU+QsI+WRBwcXFB+kf6OKTNE2dvd2xur6gL7Z1rAK5+JWhSIgtTmxbRBpXs+jqsrMVnHtIo02jGVm8iO/vkbpDfSz/F7UTLeJbsabQHm6Q28jP5yxvwmQ2nFylPs0pPtrLgPAJylJefvXq0SPyY0B9cXcUT/Vn4e8m6mherT91n5PardMj5hlFPekDSjPD3DWO4JHRqQWCKx3XmHblNmzLZSJ31IP9d/Y8W+VowvMxwLaTG3a7vgt9RaVMlwiLC2OGyQ/fZWC5tAPcukDwL9Lmk8cckXY+ArtYNXdsVV+TpMqZIt88nT57MkydPKFiwIDNmzKBixYoKVJUqVVIcJF6xYkWM6MQGelyZUbr3o557Pe69v8fS6ktxyKQ8YH3/1SecphwlQXwLro+riYVFPN0r1lBicFg4BUbuJyISTg+rQobkib5Jct7kzIsvL1hXex2F0plONqpD157xv5W+5MuQDI9+yv+mf3k+PIVp+SCehXJDwiqxhgT1103EE/2xlSTrOp5MmTJFEU/s7e2ZOXMmFSpUiNWBDRs20LJlS0X2k+3blTe8VXkMNjekUjkzC4GFFYx4zpewSAqM2q8w8eKoaqS0jj37iir+iDaCgDkRcNt7jUXH7tCuXA7G1LeP3XW/7bD5L+WE4QW5AAAgAElEQVRBL+nAl4aPwdYNDe0T3QQBQUA+BMQGunzGQlgiYwKLFi1CSo3eunVrRXrDJEmSRLO2fv36KlkfZ2937B0IZxZzNL0r7QJr0ds5N/2rG7/upkqDokIjqV5v8VUOhPGFOqln8E+9qir0Ek1+JtDpQCdOPTkVLYWjLCgFf4BTC+DEXAh+pzRJehmXNs5zVYF48vmoZyhe4seE/kjrKp7oz8LfS9bVvBiz048VJ+7Rt2wa+l6ooVQ4/KksP9Yag7Op6Nx4NpDBW6/glDcdybKvwuuhF8MdhtMifwtTccHgdnbz7MbxR8fpVawXnQt31q3+JVXgka8ydlUcqFvZWkjT1bqhhQlxuquIKXF6eE3eOenAUKk1pQiLDONA4wNkSqpMbxwWHkH+kfsJi4jk5FBnMqWQz2bt9afvqTnTm2SJ4nN5dHXi/fA7oP3+9vg+88Wtght1beuazPg8fRdEGbdDWFrEw29sDRJZWf5qe8AhWNMI0uSBXr6y9E3EE/0Oi67iSdQ3L+lQlqOjI5LcpUuX4u/vT7Zs2X7rxP379xXtbW1tSZ06tTw30MPDYGIGZXm3fv7cCkpOtRnHSJYwPpfHRF8v9DtaQrogEHcIrDl1nxHbr1Ilf3qWtVOhrMuh8eA9FYq5QoO5GoMQMUVjdKKjIGB2BMQGutkNuXBYEwIWFha/7Sb9qA4PD1dZbJy83XH0Xzg6Ca+ktfnrZRvcGhWiZenf/zhSGZZMGkq3xspvUN5AdkqwhLktlen7xKMeAa8HXvQ83JNkVsnwbOqJtZW1egJ03VqqnXRhNRwaq0x5Kz3p7cF5uLLWuRlunEchFj8mdD3ZvsvTZTzRn5UxS9bVvHBddhrvWy+Z3KgQzTzLQshH6OkLafMY2iWhTwsCJwJe0mrpaWzTJiFBzn949PGRIn27lMZdPDET2HZrG6NPjKZA6gJsqrdJd5geX4DFlZQ3ovr7Q9L0upOtpSRdrRtamhFnu4uYEmeHNk449uDDA2pvq00CiwScbXMWC+l289fHacoR7r/6zPpOZSibK41s/JVKk0glSkpkT8XWbuWi2TXmxBi23tpK1yJd6VG0h2xsjs0Q6TB4yQmevPoUwo4ejhTJGkOa6RNz4MAIsGsAzVbFJtIofxfxRL/YdRVPpKyLxYsXZ8GCBd8MLlCggOKG++/KgEjf05ycnGjfvj3e3t68fftWnhvokkczC8Pb+9B+H4e/5KLDCl/sMiVnb5/Yb9jrdwSFdEHANAl43XzBX8vPkDdDUg70U6Gsy7rmcHM/1JoMDl00dlrEFI3RiY6CgNkREBvoZjfkwmFzI2CQl4Kzy2BPf3ysytD6Q29WtC9FpXzy+Xir7Zhff32dpruaEhGWBPuwGWzqUlZbkWbZPyIyAimNY+CHQOPfUpQ2G/b8rbytJz1pckOloWDfCP5wYMZcBs4g64a5wIxDfupqXpR1O8STd0GKD9Ml9tSG5/7QZivkFtk9TGm6PHj9mQqTj5AgfhiJ8owkkki8mnuROlFqU3LDoLa+CXpD5U2VCY8MZ2/DvWRNnlU3+rf3gItroFBTaLxUNzJ1JEVX64aOzBFiZERAzA0ZDYaeTPF55ENXz67kSpGL7S7R0zFLNdClWuj/Ni5E81LyOXg9/cANZh8OoEWprPzTuHA0MiuurmDauWnUylGLyU6T9URNP2KjDi9OaliIVg4x8HbvBpfWQaVhUGmwfozQUqpYM7QEaIDuISEhWFtbs3nzZho2bPhNY58+fbh48SJeXl4xWjF69GguX76Mu7u7omyirDfQV9aDu8eg4SJWfHRgzC5/athnYJFrSQMQFioEgbhH4O7LT1SeepTEVpb4j6sRLfNLjN5Ot4f3DxWHWMge/aCbOnRETFGHlmgrCJg3AbGBbt7jL7w3AwIGeSnw3wGb2nKBfDQMGo1H34rky5gsztA9FHiIvkf6Ev4lC2nfD+LYoMpxxjdDO7L22lr+OfMPOZLnUNSA/fEmikFs+fwaDk8A3+VAJCRIBpWHQunOYGllEBNMQYlB1g1TACFsjEZAF/PiY3AYBUd7KOReGlWdFNvbKE+Q150BJTsI4iZEQErBm2/kfiITPCRJzjmkSpiKYy2OmZAHxjE1qpxJvxL96FBQB3NeimvTC0BYEHQ4ANmUNYbl8uhi3ZCLL8IO3RIQc0O3POUobf319Uw6PYnKWSsz23l2NBNHbr/K6lP36VYpF4Nr5peN+d3WnGPf1aeMqFOAjhVso9l1JPAIvY/01n0WEQN477bvGou87tDaIRsTG8ZQv31hBXh6GZqvgQL1DGCR+irEmqE+M0P3ePz4MTY2Nvj4+FCu3PeNrUmTJrFy5Upu3Ljxi0lS2+bNmys22NOmTavSBnpwcDDSP1GPNDeyZs3Ku3fvSJ48uX7d3tFTmcWu0jDGf6zHsuN36VQhJ8Pr2OlXr5AuCMRRAsFh4YqyLpGRcHZ4VdIlS/h7T6XfPZNzKv8+JBASpdCYiogpGqMTHQUBsyMgNtDNbsiFw5oSkE7LTp06lWvXrilOxElpqAYOHEiFCvJO1WSQl4J7PrCiNnciMuIcMl1R/yl5orizGbnGfw3/nv2X0PeFiHjqyo0JNWM/FanpRIvj/T6FfqLq5qp8DP3I/CrzqZDFQP/9SOnapdt5nmO+p2sv1Ayqj4dkGeM4dfXdM8i6ob5ZcaaHOceTyw/fUn+uD2mTJsR3RFXYOxDOLIby/aDqmDgzxubiSMXJR3gcdpzENpsomaEk/9X8z1xc19jPTTc2Mf7UeAqlLcS6Ous0lvOto89sODgSMhaCLt6yKz8i4on2QxybBHOOKbGxEX83LoF/z/zLmmtr+MvuL/4u9Xc0Y5Z632HCnmvUKZSJea2LG9fQH7RXne5FwPOPrOxQGqe86aLZdefdHRpsb4B1fGtOtTplUr8Ho1LTF82aku09HKPzluo6T8oM4cHQ6zykySWb8fjREBFP9D8s2saTqA30EydOULbs96x9EydOZPXq1Vy/fj2aEx8+fKBw4cJIZQ5r1aql+JsqN9DHjBnD2LFjfwFikA10rylwZAIUbUOn9+056P+McQ3saVs2h/4HSGgQBOIogXJuh3j8Loht3ctRPFuq33spZX+QskCkzA59L2tFQ8QUrfCJzoKAWREQG+hmNdzCWU0JrFmzRlGPqVGjRjg6OiLVEZN+FEgpplasWEGrVq00Fa33fgZ5KXhxA+aV5l2kNY6s4OrYGnr3y5AKJp+dzGr/1YS8qkDw8zqKTR9p80c8mhGI4umY2ZGF1RZqJkSdXo8vwp4B39O1pysAdaZCDmVde/H8SsAg64aZgjf3eOJ+4SH9Nl6ijG1qNnQuC1E1Nws2hiZSZgjxmBKB1ktPcfbdWhKmPUrzfM0ZUWaEKZlvFFtffnmJ8yZnRcp7j8YeZE6aWXM7IsJhdjFlLc56s6HEX5rL0lNPEU/0BParWHOPKfqlK6RrS6DHoR4ce3iMkWVG0ixfs2jipE2nTqt8sc+cnD29DXSgNhaHQsIisBu1n7CISE4OdSZTisTReoSGh1JybUmkslSHmx4mnXX0DXZteemz/+0XH6kyzYtEVhb4ja2JpUW87+pe3IR5pcDKGoY+km05KxFP9DlDQBfxRN0U7tKt82LFimFpafnNuQjp4DvSNLRQ3FjPlevXAx1GvYF+eRNs6wQ5KlDz7SCuP/3Af+1LUTkOlTDU70wT0gWBXwk0W3SSM3dfM6tFURoUtfk9opPzwGMY5K8LLdZqhVLEFK3wic6CgFkREBvoZjXcwllNCUi3zTt37ky/fv2iiZg+fTpLlixR3EqX62OQl4JPr2CKMsVdzWTb2D+gilxxaGRXvyP98Az0JP6bhrx56sDuXuUpaKN5qiCNjIhDnR58eECdbXUUmwc7GuzANmX09Ig6c/XLG2W69rPLvqZrT6qsc+7QRaRrjwWyQdYNnQ20aQky93gyxeM6847c/p5C1H8nbHIFm5LQ6ZBpDaawliFbL7PjyQTiJ7vGMIdhtMzfUlBRgUC7/e049+wcA0sOpK19WxV6/KbJTQ9Y10yZvrD/dUhgrbksPfUU8URPYL+KNfeYol+6Qrq2BOq51+Pe+3ssqb6EMpnKRBN369kHqs04RrKE8RXZy6QMb8Z+bj77QPUZx0iaMD5XfmNT7W21kX7LLK+xnFIZSxnbZJX1R0REUnCMB59DwvHsX5Hc6X8ot+bnDpvbgU0J6HRYZZmGbijiiX6J6yqeODg4UKJECcWt8qjHzs6OBg0a4ObmFs2JoKAgAgICov27ESNGIN1MnzVrFnnz5iVBggSxOm7QuRF4CpbXIDJFVgq+mconxX9TTuROnzRWO0UDQUAQiJnA35svseXcQ/6unpeeznl+j8m9G1xap/yuV2mIVjgNum5oZanoLAgIAsYmIDbQjT0CQr9JEEiYMCF+fn7kzp07mr3Sy37BggWRXvzl+hjkpSAigohxabAggp6Z1zO3c2254tDIrma7mnHt9TXSf+7K7fs5WNK2JNXsMmgkS3RSEuhzuA+HHxymWd5mjCw7UrdYpFPr0kv1wVE/pGtvCtXGQ/JMutUVR6UZZN2Io+xic8vc40mX1b54+D1jdD072jvmBClDxGInSJIeBt6KDZ/4u8wIzDsSwPyAjlgkeMWy6ssonam0zCyUpzlrr63lnzP/UCx9MVbVWqW5kWuaQMBBKNMDak7SXI4ee4p4oke4gLnHFP3SFdK1IRAWEUaptaWQ/vdA4wNkShr9HTwoVFnzVHrOjahKGhlk99pz+Qk91p0nxjTnX2F08+zG8UfHGV12NE3yNtEGkcH7Nl5wgnP33/x6w086cHxsChRzhQZzDW6XqgpFPFGVlGbtdBVPNm7ciKurKwsXLlSkcV+8eLHi0on0PS179uy0bdtWUSf95830KKtVSeH+s4cGnRvvn8D0/ETGsyT3lxWEY8n18TVJZPX9Fr1mIyB6CQLmS2CW5y1meN6kWcksTG5S5PcgFpSHZ1eg+VooUFcrYAZdN7SyVHQWBAQBYxMQG+jGHgGh3yQISBvnUr3zLl26RLN30aJFirrot27J96O/oV4KPk/MiXXoa2bk/o9+bRqZxLiqamSFDRV4G/yWwozD51oCxjewx1XUuFIVX4ztzj49SwePDiSOn5iDTQ6SIqGObvQ/uQR7/oaHZ5R60+WH2lMhpzxSQ2oFzYCdDbVuGNAl2agy93gSVVt09f9KUyFPOvj8GibnVI7P8KdgFT1dqmwGThgSI4EtF+4w5pIL8eJFcrTZUdIkTiNIqUDg2adnVN1SVdHyUNNDpLdOr0Kvn5q8vgOzpbrBkaJmrfr04kwPc48pcWYg46AjDz88pNa2WiSwSMDZNmexiGfxi5dl3Q7xRJWapwbiM9PzJjM9b9G0RBamNI35A35UXfd29u0YUHKAgSzTjZqR26+y+tR9Ole0ZVjtAt+Frm8FN/ZAzX+gTDfdKNODFPH7RA9QfxCpy3gi3T6fPHkyT548UVw4mTFjBhUrVlRoq1SpEjly5FCUQozpkf0GunRYf2JGCA+mfPBMQpNl5fQw5TudeAQBQUAzAlFl3srapmF95+gZa75JDAuBSZkhIhT6XIJUOTRT9rWXiCla4ROdBQGzIiA20M1quIWzmhJYsGABffv2pUOHDpQrV06RYu748eOKl34ptdTPG+ua6tFHP0O9FDx1K0rG4LtsLTiXxk1c9eGKUWR+Dv2MwzoHhe56KZax7tQLulfKxaCa+Y1iT1xRGhkZSZNdTbj55ib9SvSjQ8EO2rmmSNc+EXyXQWQEJJDStQ8Bh64iXbsGZA21bmhgmsl3Med4EhoeQYGRytqiJ4Y4kzllYoiMBLesEPIBepyFdHlNfozNyYHt/mcYefZ/EJ6Ey+1PyiIFr6nwb7O3DZdeXNI89b3HcDg5F3JVAddtsnVbxBP9Do05xxT9khXStSVw4tEJunh2wTaFLTtcdsQorvmik5y++5oZzYvQsFgWbVVq3b/H2vPsufKE4bUL0KlizCWm1l9fz6TTk6iUtRJznOdordOQAjacCWTItis45k7D2o4/bFDMKgJv7sFfuyCncpNTjo+IJ/odFRFP1OA7pwS8CqBlyHBCs5ZnS7dyanQWTQUBQeBnAr73XtNk4UlsUibGZ4hzzICeXoWFjpAwOQwJBC1Lv4iYIuahICAIqEpAbKCrSkq0M3sC7u7uTJs27Vu9c6lGlHQrXarlJOfHUC8F19wqUiD4EieLTqasS/Sb+nLmE5ttt9/exmWHC8msktHWZjX/7LtOw2I2zGheNLau4u+xEHC/5c6oE6PImCQj+xrtI75FfPWZKdK1r/+arv2lsn/BxlB9AiTPrL480UNBwFDrhrniNtd4EvD8I9INdOsElviNrfF9s3V+OXjuB623Qh5xg8OU/rtY7+/OpLOjCPuUkwud3EX6SjUGb6XfSqb6TlXU0JVq6ar1hHyG6QUg6C203AD5aqnV3ZCNRTzRP21zjSn6Jys0aENgw/UNTDw98Y8bzYO3XGaj7wP6Vs1D36rGP0BXfYYXN5995L/2paicL+bMICcen6DLwS7kTJGTnS47tUFk8L5XHr6j3tzjpLS24sLIasr3sOCP4GajtGXgHUgi30wyIp7of8qIeKIi49WN4PYhBoZ2Jrxwa6aLb0MqghPNBIGYCTx/H0TpSYewiAc3JtTCyvLXrDVcXA/bu0K2ctBhn9YoRUzRGqEQIAiYDQGxgW42Qy0cNVcChnop8JpYG6dQH26XGEmuen/HGdzeD73pfqg7eVPlpW222fTZcJEytqnZ0LlsnPHRWI4EhwdTfUt1Xge9ZprTNKrnqK6eKU8uw96/4cFpZb+0+aCOlK5dvjcn1HPQeK0NtW4Yz0OhWRMC2s4LD7+ndFl9jkI2KdjVq/x3E9a1gJv7oM50KPU/TUwTfYxEYOa5mSy7uoyQNw7sbT2TXOmSGskS01P7+ONjamytoUhrLKW/T5UolepOnF8NO3tCymzQ+yJYyLfuprbrhupQREtTIyDmhqmNmHr2RqU6b2vXloGlBsbYef7RACbvvyGLw8lSlhy7UfsJDY/k+ODKZEllHaPNUWu3dPD3bOuzmh0AVg+lzloHh4VjP8ojeiagB2dhWVVImgH+vqkzXfoQJNYMfVCNGzINPjd29wPf5cwOcyHMaTj9qxn/AFDcGEnhhbkSkDJU5h+5n+CwCLwGViJ7miS/oojKvlW6C9SerDUqg68bWlssBAgCgoCxCIgNdGORF3pNkoCvr6/iBrp0Wlu6gV6iRAnZ+2Gol4INo5vSIt4BXpfoQ+p642TPRVUDN17fyITTExS3J9rkGEPzxafIkcaaowMrqypCtPsDgbkX5rLo8iKKpS/GqlqrVGMlpXw+OEqZulZK126V5Hu69vgJVJMhWv2RgKHWDXMeBnOMJ/OOBDDFI4YP5fsGw+mF4NgHqsWd+GEO87v34d4ceXCEoKf1WOzS97c39syBhSY+1nOvx73391hQdQHlbX44VPInYVIMXOwETy5B1bFQvq8mqg3WR8QTw6A2x5hiGLJCi6YEeh7qiddDL0aWGUmzfM1iFLPn8hN6rDtP8Wwp2dbdUVNVOukX8PwDVacfI0kCS67+mCXnJ+kRkRGUWlOKkIgQ9jbcS9bkWXWi31BCas48xvWnH1jStiTV7DLAuRWwqw/YVoa22w1lhkZ6RDzRCJvanUQ8UQHZ8RngOYZt4eWJcFlEkxLGL0GhgtWiiSAgawJSpjopY92a/zlQPk/aX21dWQ/uHoP6c6B4W619ETFFa4RCgCBgNgTEBrrZDLVwVBsCDx8+pGXLlvj4+JAyZUqFqLdv3yrqoa9fv56sWeX7w9kQLwUfgkJZOr4L/ay2ElqsHVYNZmmDW1Z9Z5ybwfKry2mVvxWtc/eh4pQjJIxvwfXxNUWtVx2M1IvPL6i+tTphEWFsqLMB+7T2sUu9tgs2tlG2s2+kTNee4mvqwdh7ixYqEDDEuqGCGXGyiTnHk/6bLrLt/CMG1shHj8q5v4/vyXngMQzsG0LTFXFy3OOqU3W21SHwQyCf73dkTLUGuJbNEVdd1Ytfg7wGse/ePvoU70PHQh1V0xF1W9AyIfS/Jut0u5JDIp6oNqyatjLnmKIpM9HPMASiDggtrraYspljztx19dE76s45TpokCTg3spphDPuNln1XntBt7XmKZEnBjp5/PtDUcEdDAt4GqHf4yajefVc+YNMltp5/+D1t/t5BcGYRlO0JNSbKxMqYzRDxRL/DI+KJGnyvboMt7TkbkZeIdvtxsJVv6QM1vBJNBQGjEmj/3xmO3HjBpIaFaOWQLbot0gHiybbw5TV0PgqZi2ltq4gpWiMUAgQBsyEgNtDNZqiFo9oQqF69uuID4MqVK8mXL59C1I0bN+jQoQNJkiThwIED2ojXa19DvBTcevaBlbNHMsHqP8hfF1qs1atPhhQe9XH775J/0yJfG/KN2K9QL9WNS5VE3HbWxVgM8R7Cnjt7qGtbF7cKbn8WGREOCxzhxTUo3w+qjtGFCULGTwQMsW6YK3RzjicN5h7n0sN3LGxTnJoFM32fAlGHYmxKQKfD5jo1TM7voLAgHNY5IN3G+3hzOJ0cizCsdgGT88OYBi+7soyZ52dSM0dNpjhNUc2UbZ3h8kYo0goaLlCtjxFbiXiiX/jmHFP0S1ZI14ZAeEQ4JdeWVByQ9WjsQeakmWMUJx3CLjRG+Tv6ypjqJEtkpY1arfrOPnSL6Qdv0rh4FqY1K/JHWf2O9MMz0JMhpYfQukBrrfQauvOy43cZv9tfcftcuoXOirpwzxtcFkDRVoY2Ry19Ip6ohUvtxiKeqI4sLPAs8ZdX5WlkKiL7XyNTisSqdxYtBQFBIEYCo3dcZeXJ+3SrlIvBNfNHb/PuEcywg3iWMOwxWCXSmqKIKVojFAIEAbMhIDbQzWaohaPaEEicODEnTpygWLHop9zOnz+Po6MjX7580Ua8Xvsa4qXA6+YLNq6YzfwEsyFbWeig3GSOC0+bvW249OLStxrdJScc5OXHEPb2roBd5uRxwUWj++D30o8We1ooaggeaHyAdNbpfm/T5c2wrSMkSgF9LkNiZUYI8eiWgCHWDd1abDrSzDWeSHXNpI/kH4PD8Oxfkdzpk30fNCkV9aKKkCQdDAwwncE0c0uvv75O011NSWSRjBd+w6hpn4mFrvIvbSOnYfN55ENXz67kSJ6DXQ13xW7axxfKj0fhIcrDJtKhE5k/Ip7od4DMNabol6qQri2BRx8fUXNrTawsrBR1wi0tLH8rssT4g7z6FMLuXuUpaJNCW9Ua9++1/gK7Lj1mSK38dHXK9Uc5M8/NZNnVZbTI14LhZYZrrNMYHU/deUWLxaewSZkYn8GVYXJO+PIGOntB5qLGMEllnSKeqIxKo4YinqiO7dHDQGyWFlJ0iBj2DIsE2m/mqa5dtBQE4iaBpd53mLDnGnUKZ2Jeq+LRnbzpAeuaQboC0OOUTgCImKITjEKIIGAWBMQGulkMs3BSWwLSrfPVq1dTunTpaKLOnDlDq1atCAiQ7wd/Q7wUbDgTyPbtG9mQYAKkyQO9fLVFLpv+zpucefHlxbf04nXneHP10XuW/VWSKgUyyMZOUzfEda8rF19cpGuRrvQo2iNmd8JDYV5peH0HnEdCxb9N3W3Z2m+IdUO2zuvZMHONJ0/fBVHG7RCWFvG4Nq4mCeJbfCctfbj992vq72FPIIG1nkdBiNcFASlziJRBxDZpQS6dbYN95uTs6V1BF6LNRsbLLy+pvKky8YjHqVansLaKZe57T4ND4yBzceh8xCQ4iXii32Ey15iiX6pCurYETjw+QZeDXbBNYcsOlx1/FNdwvg8XAt8yv3Vxahf6ITuNtkao2T+qNvjydiVxzv/n33jut9wZdWIUZTOVZXH1xWpqMm7z90GhFP566/9iv0KkXFAI4ll8vdEn71u0Ip7od+6IeKI63xMBLyiy2p4k8YKh5zlI+0NpKtXFiJaCgCDwA4H9V5/Sdc25mEupHJsKh8dDoabQeKlOuImYohOMQoggYBYExAa6WQyzcFJbAjt27GDSpEnMmzePEiVKKGpf+/r60qtXLwYPHoyLi4u2KvTW3xAvBTMO3mTv4SMcTDgIEqeCwff05o8hBYeEh1BijfJ2l1dzL1InSk3Hlb54XnvGBJeCtCmT3ZDmxGld++/tZ6DXQAXjA00OkFCq7frzc34V7OwF1mmhzyVImDROMzGmc4ZYN4zpnzF1m2s8OX7rJW2WncY2XRIOD6gUfQikmmb/ZIPg99DjDKRTlkoRj7wJzD4/myVXllA9qwtbD5QhWaL4XBlTQ95Gy9C6qIN6q2utpmj6P9z+Cw+DWUXg/UOTSLUbhVrEE/1OOnONKfqlKqRrS2Dj9Y1MOD2BSlkqMafKnD+K67fxIu4XHjGoZj66VzLOJlRYeAR2ozwICY/Ae1Blsqb+82GmC88v0HZfWzInyYxHEw9tcRm8f8XJRwh8/Zm9tYOxO9we0uaFnmcNboe6CkU8UZeYeu1FPFGd18azgRTdVYt8Fg+hzTbIXUX1zqKlICAIxEjA//F7as/2JpW1FRdGVY/eZtNf4L8dqo6F8n11QlDEFJ1gFEIEAbMgIDbQzWKYhZPaEkiVKhWfP38mLCyM+PHjK8RF/X+pBvqPz+vXr7VVp9P+hngpGLTlEp6+/pxP1FVp+8hXYKnkZMpP4PtA6rjXIZFlIs60PqM4ODFy+1VWn7pPz8q5+buG2OTR1fhKNRJrbavF009PGe84HpfcPx1KCQuGOSXg3QOoMQnK/uaWuq4MMnM5hlg3zBWxucaTlSfuMXqnH9XtMrBYqrn587OgPDy7Aq02Q96ffjCb62SRud99Dvfh8IPDDCg+iDFrUyusvTSqOimsjVfDVubIYjSvm2c3jj86zgiHETTP3/z3LlzbDVFObQwAACAASURBVBtbQ+LU0P+aTmr/GYKXiCf6pWyuMUW/VIV0bQlMPjuZ1f6rcbVzZVCpQX8UJx3EnnXoFs1LZuXfJoW1Va1R/zsvPuI8zYtEVhb4j62JhUW8P8p5HfQap41Oiuwh0m/ERPFNK31ztzXn2Hf1KRsKnqVMwAywc4FmKzViZ8hOIp7ol7aIJ6rznepxg6LHu1DV8gLUnQElO6jeWbQUBASBGAl8CApVlHyTnitjqpMs0Q+/KaVvga8CdHpgRcQUMREFAUFAVQJiA11VUqKdWRNYuVL1H5R//fWXrFgZ4qXAddlpfG4953YiV+IRCQNuQjLTT29+6skpOh3oRM4UOdnpslMxrvOOBDDF4waNi2dhWrMishprUzdm2ZVlzDw/k/yp87Op7ibFgYVvz+nFsG8gJMsEvS+AlbxTDJr6WBhi3TB1Rprab67xJOrwUbdKuRhcM/+v+Na3ght7oPZUKN1JU7yinwEJ1HWvy/3391lcbTG9ln/i5cdgdvUsT6Esxqtha0D3daZq1vlZLL2ylMZ5GjOm3Jjfy13VAO4cBcc+UG2czvTrW5CIJ/olbK4xRb9UhXRtCfQ61IujD4/GfjAIcL/wkH4bL1HGNjUbOpfVVrVG/T38ntJl9TkK2iRnd6/YS5FERkbiuMGRDyEf2FZ/G3lS5dFIr7E6zT18i6kHbrIp/UpKv/eAysPB6c8HHYxl6496RTzR7yiIeKI6397rL1DcbxLt4h8Ax75QbazqnUVLQUAQ+C2BYuMO8OZzKHt7V8Auc3Jlu5BPMMkGpG/Nf9+CpOl1QlDEFJ1gFEIEAbMgIDbQzWKYhZPmTMAQLwVVph3l9otP3ErRE6vg19DtBGSwN3ns225tY/SJ0ThmdmRhtYUKf7adf0j/TZdwzJ2GtR3LmLyPcnLgXfA7qm6uSlB4EMtrLKdUxlJfX5g/w+yi8PEZ1JkGpTrKyew4aYsh1o04CS6OO6XNvGi5+BQn77xiWtMiNC6R5VdS+4bA6QVQrjdUHx/HSZq+e8HhwZReW5qIyAgONz1MlxU3OS+DGramSNbjngd/e/1NwTQFWV93fcwuvLwFc6XMDfGgz0VIlcNkXNVm3TAZJ4WhGhEQc0MjbCbRqf72+tx9d5dF1RZRLnO5P9p87v4bGi84QaYUiTg51DhpkKM2lBsVs2F68z+U0vjBk1Z7WnHl5RVmVJpB1exVTWJcoow8cv057VecxdN6OLkj7kLztVCgrux9EGuG7IfIaAYaem40nO9D8UdrGWm1FuwbQdP/jOa7UCwIxCUC9ece5/LDdyxyLUEN+4xK1x6chWVVIWkG+Pumztw19LqhM8OFIEFAEDA4AbGBbnDkQqEpE3j+/DnSPxEREdHcKFzYOOnmVGGp75cC6QS+/WgPPoeEczPTaBK8uQVtd4KtkyrmybrN3AtzWXR5EU3zNmVU2VEKW0/efkXLJaewTZuEw3//VMdX1t6YhnHjTo5j883NVMlWhZmVZyqN9pkFB0dBymzQ8xzET2AazpiwlfpeN0wYjc5MN7d4UnqiJ88/BLOjhyNFsqb8lePJ+eAx1GTSiOpsIpiooBuvb9BkVxOSJUiGTwsf+m68yI6LjxlSKz9dnXKZqFfGMVu6xS/d5k9omZBTrU4R3yKGEjj7BsPphZC3JrTaaBxDNdQq4omG4NTsZm4xRU08orkBCYRHhFNqbSlCI0LZ33g/NkmlW2O/f159DKbEBE9Fg+vja5LIytKA1ipV9dlwQRHD1KnDPtR7KLvv7KZP8T50LGRah3ufvQ+i3KQD+CfsQMJ4ocrsXqltDc5dXYUinqhLTLP2Ip7Ezq3kBE9KfD7OogQzwKYEdDoceyfRQhAQBGIl0GPdefZcfsKIOgXoWOFrXDq7DPb0h1xVwHVbrDJUbSBiiqqkRDtBQBAQG+hiDggCKhA4d+4cUmr2a9euIW0Y//hIaabDw8NVkGKcJvp+KXj3JZQiY5V1am7nmYvlgxPQZDkUbGwch3Wodfjx4ey8vTPah5F7Lz9RaepREltZ4j+uRvQ04zrUba6ibr+9jcsOF0VNwb2N9pLFKjnMKgJfXkOD+VCstbmiMajf+l43DOqMzJSZYzx5HxRK4d/VM4san6j6zpmLQ+cjMhs1Yc7PBPbe2ctg78EUS1+MVbVWMe3ADeYcDqC1QzYmNiwkgKlBQLrFX2ZdGb6EfWF7g+3kSvnTAYTgjzC9AAS/h9ZbIY9p3XQU8USNyaBBU3OMKRpgEl0MSODRx0fU3FoTKwsrzrY+i6XFnzfEpd/WUs3Tj8FhHOxXkTwZkhnQWqWq2rO88X/yniVtS1LNTrUyZAsvLWTexXm45HZhvKNpZc6RmDedsIIt4X0Jj2+N5bBHYGFhcO7qKhTxRF1i6rUX8UQ1Xp9DwrAb5YF9vHvsSTgMrNPCoNuqdRatBAFB4I8E/tl3nYVet/mrbHbGNiiobLu7H/gu13m5BBFTxGQUBAQBVQmIDXRVSYl2Zk1AumGeO3duBg8eTIYMGX7ZNM2ePbts+ej7peD60/fUnOlNKmsrLuRbDdd2Qq0p4NBZtkxUNaz9/vb4PvPlnwr/UMe2jqJbUGg4+UfuV/z/S6Oqk8LaSlVxop2KBLoc7MKJxydoa9eWgZ8i4OgkSJMHup8Cyxhu5qkoVzRTnYC+1w3VLYl7Lc0xnpwPfEOj+SfImDwRp4b9Jj3rk8uwqIL4CGUiU37OhTksvrz4W93uTWcfMGjrZSrkScvq/zmYiBfyMdN1rysXX1zErYIbdW1/SqMrfTCSPhxJtwOlLCwmsMnxI1kRT/Q7z8wxpuiXqJCuLYGTj0/S+WBncqbIyU6XnSqJqzPbG7/H71natiRVVdzAVkmwCo3CIyKxG7Wf4LAIvAZWInuaJCr0gn139zHo2KBvB8lU6iSjRnPnTKHnqwm8TFGItP2Oy8iy35si4ol+h0nEE9X43nz2geozjmGTKBgf2is7DXsMCVRbO1TTIloJAuZJYN3pQIa5X8E5f3qWt/ta0nFpNXh4Bhovg0JNdAZGxBSdoRSCBIE4T0BsoMf5IRYO6oJAsmTJuHDhgmIT3dQefb8URNVQs8uUnL253MF3GTgNhsrDTA3VL/bW2FKDx58eK27XSbfsop5i4w7w5nMo+/tWIH/G5Cbvp9wcOPbwGD0O9SCZVVIOBj4kSdD7OJPVQG6sf2ePvtcNU+GgDzt1HU/mz5/PlClTePLkCfb29sycOZMKFSrEaPq2bduYNGkSAQEBhIaGkidPHgYMGICrq6tKrmo6Lzb7PmDglss45k7D2o5lYtb15S38+/Uw2tBHkDCpSjaJRsYh0PdIXw4FHmJwqcG0sWvzrbxJzrRJOCLKm6g9KBNPTWTDjQ20s2/HgJIDvveXsh4tcITnflBjEpTtobZsY3fQdN0wtt2mol/XMcWQfou5YUjahtO18fpGJpyegFMWJ+ZWmauS4u5rz7H3ytPoKVtV6ql9o6jsYgnjW+A/riaWFvFUEur/yp/mu5uTOlFqvJp7qdRHTo1OLOlLuUf/cTZ1PUr1XiMn035ri1gz9DtMIp6oxtfT/xkdV/linzk5ez63hqB3yoP+6QuoJkC0EgQEgd8S8L71AtdlZ8idPime/Z1AKp/qlgVCP0H305A+v87oiZiiM5RCkCAQ5wmIDfQ4P8TCQV0QcHFxUWwwNG5semnJ9f1SsPb0fYa7X6VK/vQsy34QvP6Fkh2g7gxdoDeajLCIMEquKUl4ZDieTTzJkOR7Or9as7y59uQ9/7UvReV86Y1mY1xVLKWzbbC9Affe32Poy9e0ss4BXbxN7tadKY+PvtcNU2ajre26jCcbN25UxCZpE93R0ZFFixaxdOlS/P39yZbt/+ydBVRVWReAP0LFjrG7FcFW7A5sxe7Ocex27G7nd2zH7h5bVBADRbAV7ESxAxupf933xBhB3oN777sPzl3LZXDOju8c941zzt6ZfzLVzc2NV69ekTdvXuLGjcvu3bt1C+h79uzB0dExUteiOi8m77vCoiO3f0zFFp62KZnFR6hIR0EbDepur6uL0YuqLaJ0+tI8ePWBslMPE8fKgqvjaxq8AKENb0xvxdbrWxlzcgwl05VkSfUl3wy6dwKW1wTr+DDgCsRPbnpjjbQgqnHDSDWxtrmc9xS1IYq5oTZxdfRN95rOKp9VtMnXhsHFBxukdOr+qyxwu0XbUlkYF5ay1aCe0W900OcJXVadRrcZvE/4GxDD0/I+8L2u/IZ0ubdwJ0lc89pU/XiRE2kfubIkYTe6DJoWfZAqSBAxQ1nI4n5iGN/l7ncYu8uHmvZpWfCuDzy+BC03Qe7I36UM0yBaCQKxl8C9F++pMN0NaVPb1fE1sHh5G/4uAtY2IG2ylzEjpbinxN55JjwXBIwlIBbQjSUm2sdKAs+fP9fVQHdwcMDe3p44cX5M212vXj3NclH6oSCs7mnrkpmZkO4k7BsEtvWg2WrNMjHEsEfvHlF9a3WsLa050/oMlhbf6sJ1WuGFy9WnTG6YnxYOPy9SGSJftPk1gfUXFjPp/N9kCQxkZ5kZWNr+J6WtAKgoAaXjhqLGa1y4nPeTEiVKUKRIERYsWPDVa1tbW6QPYJMnTzaIhNS/du3ajB8fef3OqM6LzitPc+jKE8bXt6NNqawR27WwrPgIZdCombbR5+DPOKx10G0wc2niQuoEqZFS4OYZsY+gkFBODK1M+mTxTWukmWn3fu5N8z3NSR4vue4ko4XFlxOQmzuA9zYo0hbq/W1mXunNjWrcMEtnTWC0nPcUtc0Xc0Nt4uro6+XaCzdfN/4s8SfN8zY3SOkGz/sM3XaJ8rlTsaqjg0F95Go03+0m0/Zfo36h9Pyv+beMY4bIr7ypMs8+PmN97fXYp/xSq9WQjhpoEzgrP3He3KdN8EiWj+mPtZWoga6BYTGpCeJ+Yhj+sbu8We5+l67lszP8zQS4ujvGlDA0jIBoJQgoRyAwOET3ThkSCp7Dq5Dadx9sbg/pC0NXN1kVi+dQWXEKYYJAjCYgFtBj9PAK5+QisHPnTt0pv7dv3/4kUvrIGRwcLJcq2eUo/VAwYNMFtp59wCDHPPRMdQG2dIQsZaDDXtl9UVPgmSdnaL+/PRkTZWRfo30/qP5z+yXWnrpP78o56V89j5pmxRpdH/YOourjvby1smRe5bmUz1Qh1viuBUeVjhta8NFUNsh1P/n8+TMJEiRg8+bNODk5fXWnT58+nD9/niNHfp1ONDQ0FFdXV6QNYP/++y/VqlX7CUlAQADSr7BLmheZMmXC39+fJEkMP2lVaYYbd56/Z13nEpTOmTJi9Bta6T9C1ZoBDl1MNURCbyQErr+6TqOdjUgcJ7Hu1F3YYm+F6Ye59+IDG7uWpET23wRHIwgEBAdQYm2JH7PevH0Ms+0gJEifhSVdASMkaqepuJ8oOxZy3VOUtTJ86WJumIK68jqlLFK3/W9/zVBiiMaTt17QYokHWX9LgNugSoZ0ka1Nv43n2X7uof5dtpJx5do67O/A6SenmVxuMnWym9Fm34C3+pS4QKFPi9jUrza50ySWjalSgkTMUIqsXq64nxjG9+vG4Ab2tHm9CDzmQak/wHGiYQJEK0FAEPglgTJTXHn4+iNbe5Si6M15cGyGIpuJxT1FTERBQBAwlIBYQDeUlGgXqwlkzZqVOnXqMHLkSNKk+ZbK2xygKP1Q0HKJByduvWB2s4I4Jb0Fq+pByjzwh6c54InQxl23djH8+HAc0jqw1HHpD+3mut5gxoHrNCmakelNCpq1n5o03v8hzCnMjKTxWZk0CaXSlWJx9cWaNDWmGqV03Iip3AzxS677iZ+fHxkyZMDd3Z3SpUt/VS3VOF+5ciXXrl0L1xxp8VvqJy2MW1lZ6dK/d+zYMdy2Y8aMYezYsT/9zJgF9ICgYGxH7v+2izyJTcSY9g8Dj/lQuhdUn2AITtHGBAT23dnH4KODKZiqIGtqfaub2mbpKY7deM70xgVoUiyTCSwzb5VOO5y4+fomcyvPpYK0acxtCrhNhkwloNMBs3VO3E+UHTq57inKWhm+dDE3TEFdWZ3BIcEUX1ucwJBA9jXcR8bE+kXayC6/1x8pPcUVa0upDEgNVU9D1/n7GJcfvmFRm6I42qWNzNQffj7mxBi23thK94Ld6Vmop1F9TdrY1xOWVuOlZQqKfJirf48vbNhYmdJuETOUpS/uJ4bxdZx9lGtP3rKiQ3Eqvt4O+waDbV1o9u2Z2DBJopUgIAiER6D54pN43H6pvzf59IcbzopkeRD3FDH/BAFBwFACYgHdUFKiXawmkDhxYt2Jvhw5cpgdB6UfCsJOFq7vUpJSiZ7AglKQ4DcYfNvsWH1v8KILi5h7fi4NcjZgfJkfUxtvOfOAgZsvUC5XSlZ3KmHWfmrS+F194cxyHmYpQS2rJ0g10bfX207O5MadCtGkb2ZilNJxw0wwKGKmXPeTsAX0EydOUKpUqa+2Tpw4kdWrV3P16tVw7Q8JCeH27du8e/cOFxcXXep26QR6xYoVf2ovxwn060/eUn32URLHs+bimOrfUlOHZ53HAtg/FPLVh6arFOEvhEafwNxzc1l0cRGNcjViTOkxXwUO23aJ9Z736V0lF/2r5Y6+olgmYdixYey+vZs/Cv1BN/uOMNse3j2Ghv9AgSZmS0PcT5QdOrnuKZKV0oaq6dOn8+jRI+zs7Pjrr78oVy78mtDbtm1D2rB18+ZNAgMDyZUrFwMGDNBl7DL0EnPDUFLm087vnR+OWx11JbC8WnnpfjfkCgkJJe+o/XwOCuHooEpk/i2BId2i3UbSm2/0fj4FhuA6oALZUyUySuaKyyuYeWYmNbPWZFoF86gjrnPw9HLY3ZebiR2o+qwvnctmY0SdfEb5borGImYoS13O+4mylv4sXa25IWXwshvtzIfPwfqY8fI4rG8GaQtA92Nquy30CQIxksDgLRfYdPqB7n2y94X68OYhdNgPWb5985DDcbXihhy2ChmCgCBgWgJiAd20/IV2MyEg1T+XPiB17tzZTCz+ZqaSDwXSC4TtKP1HhyODKpIl3nuYkQuwgFEvwNLK7HiFGRx2ouD3gr/To1CPH/xwv/mcVv+cImfqRBzqL1KLyzrIL+/A3GL6lLUd9tH39iZc7rvQOHdjRpcaLasqISxiAkrGjdjOXa77SXRTuIeNg3Rf8/X1xdnZOdKhicq82HvpEb+vPUuhTMn4t2eZX+u4ugc2tIR0haDbr1PQR2qsaKAYgX6H+3Ho/iEGFRtEW7u2X/WE1ZF1KpyB2c0KKaY/pgpe6b2SGadnUC1LNWalKqev95cwFfTzBut4Zut2VOKG2TprAsPluqds3LhRt/gtLaKXKVOGRYsW8c8//+Dj40PmzJl/8szNzY1Xr16RN29e4saNy+7du3UL6Hv27MHR0dEgEmJuGITJrBp5PPKgy4EuZE2SlV1Ou4yyveqsI9x8+k5XA12qha7G5fvyA+WmHSaulSU+4xyNPvl++P5heh/ujW0KWzbV3aSGyfLo2DsIPBdzNXt7avhUp3SO31jXpaQ8shWUImKGgnABue4nyloZvnS15sbzdwEUm3AICwt02TLivbimP0BikwyG3jOF60KnIBDjCPztcoOZB6/TtmBixl2rq/dvqC/YGF5CzhAoasUNQ2wRbQQBQUDbBMQCurbHR1inEQLSiT7pFEbt2rXJnz8/ceLE+cGy3r17G2xpTDrd8er9ZwqPP6jz/dqEGsSzCIXxX+qeDrwJidT5+GEwfCMadj3QlZOPTupOn0un0L+/bj17R5WZR0gUz5rLYw37SGiE6tjddHt3uLAeclSBNts4/fg0HZw7YGNlw6Emh0gaL2ns5qOS9+JlQjnQct5PSpQoQdGiRXULHmFXvnz5qF+/PpMnTzbIiU6dOnHr1i2kxZDIrqjMi7AX4MZFMzIjspIXjy/DwjIQPwUMuROZOeLnJiJQ79963PG/w6Kqiyid4Vv5gN0X/fhj3TmKZUnOlh7f/t1EZpqd2lOPTtH5QGcyJc7EXn8LuHccyg2EKiPNzpfvDY5K3DBrh1U2Xq57inQ/KVKkCAsWLPjqga2tLQ0aNDD4fiL1l96VpMwmhlxibhhCybzabLq2ifEe4ymfsTzzqswzyvjOK704dOUp46W6wiWzGNU3qo1drjyh08rT5E2bmP19yxstRqr1LtV8T2CdAI+WHr/OsmO0dAU7LK+tu8c8qDCLss5pSRo/DudHVdO8/SJmKDgnALnuJ8paGb50tebGufuvcJp/gnRJbTg5rAoEvIPJGfRGDb0PNuJbhSnGX+iMWQR2nH9Inw3n6Zj+PqNeDoVkWaDvRdmdVCtuyG64ECgICAKqExAL6KojFwrNkUC2bNkiNNvCwkKXDteQK6ad7vD286f2nOOkTBSX0yOq6RFMzQofX8HvHpDa1hAsmmxTZ3sd7r25x9LqS3FI5/CDjR8+B5FvlP60ppSSOInNjxsqNOmQORj17BrMLwmhIdDlMGQogpTloOnuplx9eZW+RfrSKX8nc/DE7G0ULxPKDaFc9xPJwrB7ysKFC3Vp3BcvXsySJUvw9vYmS5YstG3bVlfvPGwxXfq9WLFiunIk0gn2vXv3MmTIEN2CiSEZVqIyL/psOMeO834MqZGXHhUjKYPyyR+mfDnpOOwBxEus3EAIyVEiEBgcqKtvGxwazMHGB0mb8Fu92Au+r6k/z53UiePh+WfVKMmPzZ1ef3pNuY36dNkn7vqSWMrm0/cSJNV+XdpfjVtU4kZsngfG+i7HPSW6GU2kZzVXV1fq1aunKwlSrdqXd4L/OCNHWRBj+Yj26hKY4TWDlT4raW3bmiEOQ4xSPm6XD8vc76iaTnzhkVtM2XeVugXT83eLwkbZKzWW7onF1hbTlZtybeJKqgRmsHk8NFT/vv7pNYGdj5BvgR+BwaEcH1KJjMnVSZ1vNOgvHcT9JKrkDOsnx/3EME3yt1JrboQt7DlkTcGm7l/SSU/LAR+eQ7djkK6A/M4JiYJALCNw5t4rGi04Qb+EB+kTvBzy1oHma2WnoFbckN1wIVAQEARUJyAW0FVHLhTGZgIx7XTHIZ8ndF51GvsMSdjd60uNxL+LwYsb0G43ZAu/bqLW54D0EaT4muJ8DvnMvob7yJj454/XBccewP9jIAf6lSd3GrHII8uYbmoHPv/+9ID8781/Gek+kjQJ0rCv0T7iWIoNC7Lw/oUQ8TKhNGH55Eunz6dNm6arWWtvb8/s2bMpX15/ikqqa541a1ZWrFih+/uIESN0i+4PHjwgfvz4utS7ffr0oVmzZgYZFJV5UXvOMbz93rCkbTGq5UsTuZ4pWXQfdelxEtJovx5n5A7FrBY3Xt2g4c6GJIqTiBMtTvxwWu37rDRSWkubOOZbxsVUo1ZtSzUev3/MCr8nFM1WTZGPRWr7FpW4obaNsV2fn5+fbrOVu7s7pUt/yx4h1ThfuXIl165dCxeRv7+/rp+0MG5lZaXLhtKxY8cIcY4ZM4axY8f+9HNJTpIk8qbljO1jair/e7n2ws3XjeElhtMibwujzFh18i6jdnjrnhWkZwY1rgGbLrD17Jc6q1WkMmTGX7W21cL3rS/LHJdRPG1x4wWo3eONH8yyBQsrGO5HzfleXHn0hkVtiuJo921TnNpmGaJP3E8MoRQ726g1N+Ydvsl052s0LJKBWU2/lCtaXAn8zkKztWBbJ3YOgPBaEJCRwLO3ARSfeIiZcRbQyOoYVBwGFYfKqEEvSq24IbvhQqAgIAioTkAsoKuOXCg0FwL9+/fXpSBMmDAh0p8juqQT6DNnzozULbVOd/zXECUfClafvMvI/37oWFYT7p+AJivAzilSLlps8PzjcyptqoSlhSWnW58Od8G2xl9Hufr4LSs7OlBBpTp9WmQlm02PLsIiacOFBfRwhzR2X0UHBAdQfUt1Xn56yfQK06mRtYZsaoWg8AkoGTdiI3O57yemYmjsvAgJCcVutDMfA4M5PLAi2VImjNz0heXg8UVosRHyiP/rkQNTt8X+u/sZdGQQBVIVYG2tH08CSKdQ8485wLuAIA71L0/O1GJzmbGj0+tgd9z83Bn64iWtGqyF7BWNFaG59sbGDc05oEGD5L6nhC2gnzhxQpfNJOyS0vmuXr2aq1evhkshJCREl4Xr3bt3uLi46N6bpBPo0uat8C5xAl2Dk0lmkxr824Bb/rd+KvFhiBq3a09pv9yL3GkScaBfBUO6RLtNvbnHufjAn4Wti1DDPl2U5PU41IPjD48zutRoGuduHCUZqna6cQjWNoKUeeAPTwZuvsCWMw/oXSUX/avlVtUUY5WJ+4mxxCJvL/f9JHKNyrRQa24M3XqRDV6+9K2ai75Vv/x/2dwevLeD4yQo1VMZB4VUQSAWEZDeKaWMn1stBpPP8h40Xwd5a8tOQK24IbvhQqAgIAioTkAsoKuOXCg0FwKVKlVi+/btJEuWDOnPEV3SArqUtjCyS63THWp+nJq2/yrz3W7RrlQWxta31yPY2Bqu7IJaM8ChS2RYNPnzi88u0mpvK92JZ6nudnhX++WeuF17xtRG+WlW/EvKYU16YyZGrWsG1/eDfWNovPQno+edn8fCCwspmKoga2qtMROnzNdM8TIh79jJfT+R1zrDpRk7Lx68+kDZqYeJa2WJzzhHrK0sI1e2oRVc3Q01p0OJrpG3Fy1UJRAWi51yOjGuzLifdNf83zHdSbbl7YtTKW9qVW2LCcrm7e7IwhdeOH22Ylznc2BhYfZuGRs3zN5hFRyQ+54S3U2+YS5LpUB8fX1xdtaXOYrsEnMjMkLm9fPvM3jtbbiXTIkzGeXA3efvqTjDDZs4lviMrYGlpbLxT9rkZz/GmQ+fgznUvwI5Uycyyt6wxlM9p7Lmyhra27VnQLEBUZKhaif3/8HBUfqN7k1WsNz9DmN3+VDVNjX/tNP2CXoRM+SfKXLfRAIWEAAAIABJREFUT+S30DCJas2Nlks8OHHrBTObFKRR0S9ZCqX/T9L/K4duUGuaYQaLVoKAIPBLAjVnHmLHm6bEtQiGPhcheRbZiakVN2Q3XAgUBAQB1QmIBXTVkQuFsZWAWqc71EyP2G/jebafe8jQmnnpXuFLbdtdfeHMcqgwFCoNM8vhDjthVzh1YVbVXBWuD8O2XWS95392H5ultxow2tcLllbVpxLs6Qkpc/5klJQVQEptGxQSxPra67FP+WXDhgbMj4kmiJeJmDiq0ffJ2HkRpdNk+4eDxzwo9Qc4Toy+0UKCrAT6u/Xn4L2DDCw2kHZ27X6S3XXVaQ74PGFsPTvalc4qq+4YLyw0FJdFxegb/zO28VKxqXnkmzPNgYmxccMcfIqJNkplpooWLapLwx525cuXj/r16zN58mSDXO7UqRO3bt3Czc3NoPZibhiEyWwaPXr3iOpbq2NtaY1XKy/d78ZcgcEh5B25n+CQUDyGVSFtUhtjuhvdNmyTXxwrC3zG1SCOIZv8wtGy4eoGJp6aSMVMFfm78t9G26F6h21d4eJGqDQCKgzC885Lmi46SfqkNpwYVkV1c4xRKGKGMbRiV1u15ka5aa74vvzI5u6lKJ41hR6y11LY0x9y14SWG2IXeOGtIKAQgdGLNzDWrxufrRMT909fRTYVqxU3FEIkxAoCgoCKBMQCuoqwharYTUCt0x1qnkBvtugkp+685H/NC1G/UAb9ALtOgKPToXhnqB15anstzopll5cx+8xsamevzZRyU8I1cY7LDWYdvE7z4pmY0qiAFt0wH5tW1YfbblC4NdSfF6Hdw48NZ9ftXb8cF/NxWtuWipcJbY+Pqawzdl4sPX6H8bt9qGmflgWtixpm9qlFsG8w2NaFZiLbhGHQ1GtV/9/63Pa/zYKqCyiboexPiifs9uGf43foXDYbI+qIGvZGjcztIzxY50TNTBl0pWNOtTxFHKs4RonQYmNj44YWfYgNNm3cuJE2bdqwcOFCXRr3xYsXs2TJEry9vcmSJQtt27bV1TsPW0yXfi9WrBg5cuRAesfZu3cvQ4YMYcGCBUgn0Q25xNwwhJL5tDn16BSdD3Qma5Ks7HLaFSXDy087zP2XH9jYtSQlsv8WJRmGdjp87SkdZEgZf8LvBN0OdiNb0mzsbLDTUPWma7egLDy59DUl7ttPgbryK9J1bmQ1kieMazrbItEsYoZmh8bkhqkxN4KCQ8gT3iafm4dgTSNInQ9+P2lyFsIAQSAmENi+fAZO98ZzP3FhMg8wbGOmsX6rETeMtUm0FwQEAW0SEAvo2hwXYVUMJRDTTneEfeTY1K0UDtm+7MD1WAj7h0C+BtB0pVmO5ASPCWy8tpEu+bvQu0jvcH3YdNqXwVsuUj53KlZ1dDBLPzVh9J1jsLIOWMaBXmd+mZrJ+4U3zXc3x9rCGufGzqROINIDKzWG4mVCKbLmLdfYeeF69Qn/nvPT3R9alzQw7dq1fbC+OaQrCN2OmjewGGZ9YHAgDmsdCAoN4mDjg6RNmPYnD1eeuMvond5Uz5eGxW2LxTACCruzsTWhV3ZRJnt23oYGsaXuFvKkyKOwUuXFGxs3lLdIaIiIgHT6fNq0aTx69Ah7e3tmz55N+fLldc2luuZZs2ZlxYoVur+PGDECadH9wYMHxI8fn7x589KnTx+aNWtmMGAxNwxGZRYNN13bxHiP8ZTPWJ55VSLeEPsrZ9osPcWxG8+Z1qgATYsblwLeWEiLj95i0t6r1C6Qjnktixjb/Wt7v3d+OG51jPLJ+ygrjkrH4ECYlB6CP0Pv85Aim/7/9/TD3H3xgTWdSlA2V8qoSFalj4gZqmA2SyVqzA3flx8oN+0wca0tuTruuzITz2/A3GIQNxEMe6DISVmzHBRhtCAQDQKXl/XE/v4aDid1olI//bOn3JcacUNum4U8QUAQMA0BsYBuGu5CaywlEJNOd4SGhpJnxH4+B4dwbHAlMqVIoB/VS1tgayfIWg7a7zbLke7p0pOjD44yqtQomuRuEq4Px248o81ST3KnScSBfhXM0k+TGx0aCstqgK8HFO8CtWdEalK7fe04+/QsXQt0pVfhXpG2Fw2iRkC8TESNW0zvpcq8eOINC0pD/OQw5G5MR2pW/t18dROnnU4kjJOQky1OYhFOfe7DV5/SYYUXtumSsK9PObPyz6TG+j+AvwpAaDAditbg9EsfJpadSL0c9UxqlhzKVYkbchgqZKhOQMwN1ZErqnDm6Zms8F5Ba9vWDHEYEiVdI/69xBqP+/SslINBjnmjJMPQToM2X2DzmQf0rZqLvlVzG9rtp3bRrf0eZcVR6fj0KswvoV/oG+oLlpY6Kb+vPcPeS48ZVjMv3cLKskVFvsJ9RMxQGLAZi1djbrjffE6rf06RPVVCXAdU/EYr8BNMTKP/+6DbkFDZ7BlmPEzCdEHAYAIv5jvy21MP/pewD30GjTO4nzEN1Ygbxtgj2goCgoB2CYgFdO2OjbAshhKIKac7nr8LoNiEQ0jfz69PqPmtbpyUiltKyZ3KFnp6mOUoOu1w4ubrmyysupAyGcqE68PNp2+pOusoiW2suTTG0Sz9NLnRNw7C2sZgbaM/BZEkXaQmHbh7gAFHBpA8XnIONjlIPKt4kfYRDYwnIF4mjGcWG3qoMi8+vYEpX06dSR93bZLEBrRm4aPzXWcGHhlIgZQFWFt77a/vjfGsuTimeriL7GbhrNpGuoyHYzMgS1mm2pVnzZU10VqEUtv8X+lTJW5oyWFhi8EExNwwGJVZNOzt2pvDvocZ5jCMlrYto2TzkqO3mbj3SrRPhRuivME8d877vtadPpdOoUfnCnt3jKi8SXRky9o3bKN7xuLQ+dBX0fMO32S68zXqFUzPnBaFZVUppzARM+SkGbNkqTE3NnjeZ+i2S1TMk4oVHf6TgXBGHnj3GLq4QgYDy1bFrCEQ3ggC8hEIDSV4SlasAl7TnClsGNNDPtnfSVIjbihiuBAqCAgCqhMQC+iqIxcKBQF1CSj1UHDpgT915x4ndeJ4eP5Z9ZtTjy/DwjKQICUMvqWuszJok07Wl1xXkg9BH9jRYAfZk2YPV+q7gCDsRzvrfnZ5rCOJ4lnLoD0WiZBOny+uAI8uQOleUH2CQc4HhQRRa1stHr1/xLjS43DK5WRQP9HIOAJKxQ3jrBCttUZAtXkxNSt8fAU9TkAaO61hiLX2LDi/gPkX5tMgZwPGlxkfLodPgcHkHblf9zOt11LVzEAGBcBsO3j/DJqs4N94Fox0H0nxtMVZ5rhMM2ZG1RDV4kZUDRT9TEZAzA2ToVdEsSEbkCNTfMD7MV1Xn8E+QxJ291Iui4n0vifV/Zbe5w70K0/uNIkjM+2XP+93uB+H7h9iqMNQWtm2ipYsRTu7jINjM6FIO6g356uqsHrwOVIlxOX7k7WKGmO8cBEzjGcWW3qoMTem7b/KfLdbtCmZhfEN7H9Eu7Q6+J7SPcdhJ75PxJZ5J/xUiID/Q5idj6BQS+wCluE1pg5JbOLIrkyNuCG70UKgICAImISAWEA3CXahVBBQj4BSDwXO3o/ptvoMBTMmZccfZb859PYxzMwDFpYw8sXX1HDqeRw9Tf4B/pTdoPfHq5UXNtLp6Aiu/GOcefspiEP9K5AzdaLoKY5tvX12wqY2+hSCfS4aleps+eXlzDozi5TxU9LJvhP1c9YncdzoffiKbfgj81epuBGZXvFzbRNQbV4sKq/fXNN8PeStpW0osci6AW4DOHDvAAOLDaSdXbsIPXeYeIinbwPY+UcZCmRMFosIRdHVi5thW2dInA76XuKq/y2a7Gqiu6+5N3c3+1P8qsWNKOIX3UxHQMwN07GXW7OUxtxhrQMBwQHsddpLpiRRq19+7fFbHP/SZ/i6OFq5LCZ+rz9Seoor1pYW+IyroatpHJ3rrzN/sfTyUprnac6fJf+Mjihl+65rDtf3Qc1pUKLbV11P337CYaKLLrOc91hHEsTV5sZwETOUnR7mLF2NudFr/Tl2XfDjz1q2dCn/n0MWW7vApU1QdSyU7WvOKIXtgoDpCVx3hnVNuUkmqn6ayp7eZbFLn1R2u9SIG7IbLQQKAoKASQiIBXSTYBdKBQH1CCj1ULDyxF1G7/Smhl1aFrb5Lk1VcCCMT6l30AxrQF15cYWmu5uSwiYFR5od+eVAVZ99hOtP3rG6kwPlcqVSb1DNXVNIMCwoA8+uQPnBUNm4D03SJodmu5vx8N1DHYkE1gl0dWJb2LaIMGOAuSNT236l4obafgh98hJQbV5sbANXdkKNqVCyu7xOCGlRJhB2unB+lfmUyxjxycBGC05w5t4r5rYsTJ0C6aOsL9Z0DDu1VHEYVBxKYHAgDusckDKuODdyJn0i82aoWtyINRMm5jgq5kbMGcvH7x9TbUs1rC2s8WrthbVl1BZgP34OxnaUPovJ2ZHVSJEwriKQjlx/RrtlnroN0NJG6Ohe229sZ9SJUZRKV4rF1RdHV5xy/f/KD6/vQ/s9kPW7DfBA8YmHePY2gG2/l6ZI5uTK2RANySJmRANeDO+qxtyoP8+dC76vWdi6CDXs/1P2IawUT7GOUGd2DKct3BMEFCZwdDq4TsAtXiXa+3cJ//+cDCaoETdkMFOIEAQEAQ0QEAvoGhgEYYIgoCQBpR4KJu+7wqIjt+lQJiuj6/4nxe6UzPDJH3p6Qqo8Sronu2yX+y70PdwX+9/sWV9n/S/lt13mydHrz5jWuABNi0XtpIXsDpiDwLDTdjZJ9afP4xt/QvFD4Ad2397NuivruOX/rVRA6fSldakTy2Yoi6WUBUFcUSKgVNyIkjGik2YIqDYvnP+Ek3OhZE+oMUkz/sdmQwJDAnWnCw1Z1O238Tzbzz1kSI289KiYIzZji9z3RxdhUTmQFpv6eUPitLo+0gn0qy+v8lelv6iSuUrkcjTcQrW4oWEGwrTwCYi5EXNmxqlHp+h8oDNZkmRht9PuaDlWcpILj998YvvvpSms0ELuP8duM2HPFWrap2VB6+jXKz739Bxt97UlfcL0ODfWl/jS3PXpDUz58r46+A4kSPGDie2Xe+J27ZkuNbWUolqLl4gZWhwVbdikxtwoOv4gL95/Znevsthn+M9p2LOrYGcvyFkVWm/VBhRhhSBgrgQ2tQOff/k3VXf6+pYPP+uDDL6pETdkMFOIEAQEAQ0QEAvoGhgEYYIgoCQBpR4Keq8/x86IUlj9XRRe3IT2eyFrGSXdk132ap/VTPOaRrUs1ZhVcdYv5Q/ZcpGNp33pXy03vavkkt2WGClQylAwzwFe3obKI6H8wGi5KdUw9Hzsydora3HzdSOUUJ28TIkz0SJvC12tXpHe3XjESsUN4y0RPbREQLV5cWox7BsEeetA87VaQhBrbbn9+jb1d9TXZfzwaOnxy7Tisw5cY47rTVo4ZGZyw/yxllm4jgd+grd+8MYPpPp+F9bD7cP6eplS3cwv14jjI9hxawc9Cvbg90K/mzVD1eKGWVOKncaLuRFzxn3z9c2MOzmOchnKMb/q/Gg51nTRSTzvvGSQYx7dAnfS+HFIbBMn2mnWvzdq6NaLbPDy1b2/Se9x0b1efnpJhY0VsMACz1aevywBFl1dUe5//xQsq64vFzLg6k9ipjtfZd7hW7RwyMTkhgWirEbJjiJmKEnXvGUrPTfeBwRhN1q/OebimOo/12O+fQRW1YPfckGv0+YNU1gvCJiawJwi8PIWm/L+j8HnU+k2dUmbu+S+lI4bctsr5AkCgoDpCIgFdNOxF5oFAVUIKPVQ0GThCbzuRpCidakj+HpA01WQr74qfsqlZKrnVNZcWUN7u/YMKDbgl2JnH7zO/1xuiEUCY+CH7c5OkBL6XIB48tWOf/D2ARuvbWTrja28/fxWZ1V86/i69O4t87Yke7L/1Cozxu5Y1lapuBHLMMY4d1WbF9f2w/pmkLYAdD8W4ziao0MH7h5gwJEBBmVn2Xzal0FbLlIuV0pWdyphju5Gzeb/Lo6/eQi6X9Ji+QP97x+ehy/7PxsO1/isYarXVCplqsScynOiZo9GeqkWNzTirzDDcAJibhjOSustZ56eyQrvFbosUEMdhkbL3MFbLrDp9IOfZMSPY6VbTE8S31q3eJUkfhz9322sv/tzeD+XFuCtsbS0+Cqz4Xx3zt5/zd8tClO3YPTLZEgbestsKKN7/9hWbxu5kmtwY/XpZbC7H+SoAm22/cR3z8VH9Fx3lgIZk7Lzjx/Tu0drQGXsLGKGjDBjmCil58bVx2+o8dcxXcy5MLr6z/Re3oE5hcDaBv58DBbf4k0MQy3cEQSUJRDwDiZnBELZXuUw/fY8omKeVKzo4CC7XqXjhuwGC4GCgCBgMgJiAd1k6IViQUAdAko9FJSZ4srD1x/Z2qMURbP8mAKODa3g6m6oPROKd1bHUZm0SOnbpTTuwxyG0dK25S+lbvLyZfDWi5TJ+RtrO5eUyYIYLCYoAKTsBP6+4DgJSvVUxFkpvfueO3t06d1vvr75VYdUlzAsvbuVpZUiumOKUKXiRkzhE1v9UG1ePPGBBaXAJhkMvRdbcWvK7wUXFjD//Hzq56jPhLITfmmbx+0XNF/sQZbfEnBkUCVN+RFlY4I+w5sH+lPj0kK4MYvj/1UqfVxNkgGSZtD/nskBpJqZ312nH5+mg3MHbacDNhCmanHDQHtEM+0QMGpufHgJl7boMzhUHaMdJ4QlOgJ9XPvg6utq0PtTZMjO+75m9E5vnr8N4M3HQN4GBEXWJdKfS2tZieJ9W3i/9fQdn4ND2N+3HHnTJom0vyENWu5pyaXnl5hdcTZVs1Q1pIu6bfYMBK8lULo3VB//k+67z99TcYab7qS/91hH4lhprxSWUTFDXbpCm4kJKD03Dvo8ocuq0+TPkJRdvcLZYCJl2ZuQGkJDYMC1ryV5TIxFqBcEzI+ArycsrQaJ0uDe4ASt/jlF9lQJcR1QUXZflI4bshssBAoCgoDJCIgFdJOhF4oFAXUIKPFQEBISSu4R+wgKCeXE0MqkTxb/R2d29oazK6HicKg4RB1HZdLSdFdTrry8wt+V/6Zipl8/pF1+6E+dv4/rdiKfH1XtlyltZTLPvMWEpWVOnB56n4M4Nor6E5beXVpId3vgRoj0QgtkTJRRn949VwOSxJXno5mijphAuBJxwwRuCJUyE1BtXuh2nmfQWz/0Ptj8p86gzH4JcZETGHhkIM53nelftD8d7Dv8soPf64+UnuKKtaUF1ybUxOq7U3+Ra9JYi88fwGM+uP8PAt5Ebpx1fEiS/tviuLRArvt7Rv3v0t/jJ4/0ZJJ0irH0+tI6fcebHydpPPP9P6Ba3Ih8dEQLjREwam48uw7zioNlHBh8S9wXNDaWTjucdJtWF1RdQNkM8p5eDg4J5d2nIN58CsT/Y6BuUf3bn/X/Lv2b7mdSu69/lv49iI+BweHSkk6ue42oSjxreTbVDjs2jN23d9OnSB8659fgBvLlteCeOzgtgoLNf2Iivd8XGHuAdwFBOPctT560iTU2y8ComKE564VBShJQem4sPX6H8bt9qJU/LfNbFQ3fldn2+oMCHQ9A5liUgUnJgRWyYx8Br6Wwpz/krIpvrdWUm3ZYt7Hr6rgaP2SSkQOM0nFDDhuFDEFAENAGAbGAro1xEFYIAooRUOKh4OmbTzhMckH6Jn59Qk2s/7tD3WUcHJsJDl2h1nTFfFNCcNkNZfEP8GdL3S3kSZHnlyo+B4VgP9pZd4LBbWBFsqZMqIRJMUPmgzOwpiF8eg21Z0HxTqr69fDdQzZe1ad3f/NZvwgSlt5dWkzPkSyHqvZoXZkScUPrPgv7Iieg6ryYlh0+vIDuxyGtqKMd+ego2yJscWRelXmUz1j+l8qkxY68I/cRGBzK8SGVyJg8gbLGKSE9JBjOr4PDE+HtI70GaXFcd2pcWggPWxA3fnHcUHNrbK2BdO9aWn0pDumMS1u4xuMec11v8k+7YthnMO3iu6pxw1C4op0mCBg9N+Y6wPNr0PAfKNBEEz4II9BtUHVY60BAcAB7nfaSKUkmTWGR3tfCFtmlBfawRXjbdInJmVq+ReKFFxYy7/w8GuRswPgyP5/wNimU0FCYmgU++UO3Y5Au/BrnTReexPPuS2Y1LUjDIlIKXW1dRscMbZkvrFGQgNJzY8xOb1acuEu3CtkZVtM2fE+W14Z7x8U9SsFxFqJjAQGp1IhUcqRMX4IqjybPyP1I75Yew6qQNqm8B3CUjhuxYLSEi4JArCEgFtBjzVALR2MrASUeCqTUeg3muZMuqQ0nh1X5Ga3HAtg/FOwaQpPlZoNeSv1dYp1+t/CJFidIHDfyjyr157lzwfc1c1oUpp4MNfTMBpYxht44CJvaQuAHyFAUOuwH67jGSJCt7cegj+y5vYe1V9b+kN69cqbKDCo+iIyJtfexSDbnjRCkRNwwQr1oqlECqs6LxRXB7xw0Xwd5a2uUSOwwKygkiOJriyP9vr/RfjIk+pId4BfuV5rhxp3n71nfpSSlcvxmPqCkRYabh+DgKHjqo7c7aWaoMgrsG4Gleiltw0rKDCo2iLZ2bQ1m+OTNJypOd9OdumzhkInJDcNfKDFYYDQbqho3ommr6K4uAaPnhst4ODYDbOtBs9XqGiu0RUjg8fvHVNtSDWsLa7xae2FtaR0rae2/s59BRwdROHVhVtVcpS0GUvmR2fnAwgr+fATW8cK1L2yRsFPZbIysk09bPiBOoGtuQDRkkNH3EyNt77TCC5erT5nQwJ7WJbOE3/vf3+H8Wqg8AsoPMlKDaC4ICAI6Av9UhQde0Ggp5G9MuWmu+L78yObupSie9T+lQ6OJTOm4EU3zRHdBQBDQEAGxgK6hwRCmCAJKEFDioWDfpUf0WHuWwpmTsf33Mj+bfXEzbOsM2cpDu11KuKWIzJuvbuK000m3cC4toBtyjdpxmVUn79G5bDZGaPBDgyE+KNrm/HrY+QeEBEGOKtB0FcRLpKhKQ4RL6d1PPzmtW0g/7HtYd3omnlU8Otp31P2ykWrUxuJLibgRi3HGGNdVnRfSphufHVBjCpTsEWMYmqMjt/1vU//f+rqsHR4tPbC0iHwRuc3SUxy78ZxpjQvQtJi2TiNGOAbShg1p4fzOUX0Tm2T6D6AOXSJcbFByPMNOM9bLUY+JZScarGrYtous9/TVtU+TJJ7uxIaFVADYRJeqccNEPgq1USNg9NzwOw+LK0CcBDDoFsQ1w+wWUUOl6V6ejzzpdKATmRNnZk/DPZq2VUnjfF740Gx3M1LYpOBIsyNKqjJetrSZeW1jSJUXep6KsP/m074M2nKRktlTsKFrKeP1KNzD6JihsD1CvHYIKD03qs8+wvUn71jV0YHyuVOF77jbFHCbDEXaQr2/tQNHWCIImAsBKQPY5EwQ+B56ekKqPLRc4sGJWy+Y2aQgjYrKe9hF6bhhLtiFnYKAIBA5AbGAHjkj0UIQMGsCSjwULDt+h3G7faidPx3zWhX5mc8tV1jtBKnzwe8nzYbf0QdH6enSkzzJ87Cl3haD7A770OCQLQWbumnvQ4NBTijRSDrF5/4XHBqjl16gGdSba7KT579y8dbrW0w+NZlTj/UflKTTlYOLD6ZSpkomXXRQYlgMlalE3DBUt2inXQKqzosDI+DE31Dyd6gxWbtQYoFlh+4dop9bP+x+s2NDnQ0Gefzn9kusPXWfXpVzMqD6r8uhGCRQyUav7oHreLi0Wa/FKi6U6AblBujrlZvocvN1o5drL3Ilz8W2etsMsuL6k7fU+OsoIaEQx8pCl0Z/d6+yJk3jrmrcMIiSaKQVAkbPDenZ8q8C4H8fmq0F2zpacSVW27Hl+hbGnhyrq30u1UCPrdf7wPeUXFdS5757C3eSxE2iHRTHpXey0ZFmh/P286f2nONI9eEvjK6uufcgo2OGdkZAWKIwASXnhrTxPt8oZ11mn8MDK5ItorJ90sGBf7tDtgrQbqfCHgvxgkAMJPD8JswtCtJhlmEPwcqaoVsvssHLl75Vc9G3am5ZnVYybshqqBAmCAgCJicgFtBNPgTCAEFAWQJKPBRM3OPDkmN3Ij51/egiLCoHCVPDoBvKOiij9A1XNzDx1EQqZqrI35UN2zUsfayuPvsoCeJacWmMI1ZSYfjYfoWEgPMwOLVQT6J0b6g6VtXUt8YOgfRifODeAaZ7TefJhye67mUylGGYwzCyJIkgTZuxSsyovRJxw4zcF6ZGQEDVeeG5BPYOhLx1oPlaMSYmJBCVk9ALj9xiyr6rNCiUnr+aFzah9b9Q/eElHJsJnosh+LO+obTZq9KfkNz0cf/7tMgerTx0WVIiu8JSjDrapdEtoh/0eUL/arnpXSVXZF0V+7mqcUMxL4RgJQhEaW7sHw4e86BAc2i4SAmzhEwjCcw6PYvl3stpmbclw0oMM7J3zGpeeVNlnn18xvra67FPaa8d57Z2gUubIk0tLdWLtxu9X7f56tjgSmRKoa0sD1GKGdoZBWGJggSUnBvP3gZQfOIhpGQ+18bXJK51BJmY7p2A5TUheVboc0FBb4VoQSCGEvDeDpvbQ/oi0PWwzsl5h28y3fkaDYtkYFbTQrI6rmTckNVQIUwQEARMTkAsoJt8CIQBgoCyBJR4KOi57ix7Lj7S1UaTaqT9dL3xg1m2+jprI59reuH0e9tnnZnF8svLaWXbiqEOQw0amOCQUPKPcebD52AO9itPrjSR1003SLC5NgoKgO3dQHr4lS7HSVCqp9l48yHwA0suLWGF9wpdvd84lnFoZ9eOLvm7kEBKGRpLLiXiRixBF6PdVHVeXHeGdU0hTX7ocTxGc9W6c4OPDGbf3X30K9pPV+LCkGvvpUf8vvYsRTInY9t/S708uwY3XSBDEf0HEuu4hoiUr03gJ/BaAkdnwKfXernSaaFq4yC9vB9momO0tLGr3MZy+Af4s7HORvL99ut6tCdvvaDFEg8UAuW9AAAgAElEQVTdRj7pecTzzkuGbrtEwUzJ2NEznHI70THOiL6qxg0j7BJNTU8gSnPj3klYXgNsksLAm+rHD9Nj05wFfQ/3xeW+i+7dSXqHis1Xh/0ddCWiJpebTJ3sGsqQsKAMPLkMzddD3lq/HKLac47h7feGha2LUsM+raaGM0oxQ1MeCGOUIqDk3Dhz7xWNFpwgfVIbTgyrErEL/g9gth1YWsOIp2BppZS7Qq4gEDMJuIzTb27+rgzCzgt+9F5/DoesKdjUXd6Mn0rGjZg5QMIrQSD2EhAL6LF37IXnsYSAEg8FDee7c/b+a+a3KkKt/Ol+Jiktok5Irf/3wXcgQQqzoD3oyCD2393PwGIDdYumhl5NF57E8+5LZjQpSGOZ6/IYaoMm2n3yhw2t4O4xsIwDTgshf2NNmGasEXf97zLFawruD911XdMkSMOg4oOonkV76QyN9c2Q9krEDUP0ijbaJqDqvHh6BeaXhHhJYdh9bYOJ4dY13NmQG69uMLfyXCpkqmCQt5ce+FN37nFSJY6H159Vv/WRFq/nFtenYJYuaWNS5pKQtRxkKw/pCunS9SlySdlRLm8Bl/Hf9Ke20y+c56yC7miRxq7OBzpz6tEpxpUeh1MupwitCwkJpf48dy499KdNySyMb2DPkzefKDHJReeW5/CqurEwxaVq3DCFg0JnlAlEaW5I9TFn5oX3T6H1Nv3/XXGZlIDTDiduvr7J/CrzKZexnEltMbXyMSfGsPXGVroX7E7PQhrZQBwcCBPTQUgg9LkYaYaVwVsusOn0A3pXzkl/jZVgiVLMMPWkEPpVIaDk3Nhx/iF9Npwn0pJ90v1pQhr9/7W+lyFZJlV8F0oEgRhDYG1TuOEMtWaAQxedW+fuv8Jp/gnSJrHBY7i8z3xKxo0YMybCEUFAENAREAvoYiIIAjGcgBIPBaUmu/DI/xPbfy9N4cwR1AednBkC/OGP05DSdKlDjRneVntbcfHZRWZVnEW1LNUM7jp+tw9Lj9+hXaksjK2voXR9BnsgQ8O3j2FNY3hyCeImhuZrIHtFGQSbToR0+k+qQTvVayoP3z3UGVIibQldesocyXKYzjAVNCsRN1QwW6hQmICq8+Lze5iUXu/RkHsQP5nC3gnx4RGQMnE4rHUgMCSQfQ33kTFxRoNAvf7wmULjDuraXhlXg/hxv5zCcZ8DB0fqT49KJ3Q+vPhRnnT/yFLqy4J6OUhbQJ4TPLeP6PU++pJSM3F6fSrbgs3lkW8QFeMbzfCawUqflbTI24LhJYZHKCDs427CuFYcGVyJlIn0i+V1/z6uW1Sf3rgATYqZ5kOuqnHDeMSihwkJRHlu7OoLZ5ZD0Q5Q9y8TeiBUh4SGUGJtCT4Ff2KP0x4yJ8kcq6GsuLyCmWdmUjNrTaZVmKYNFmEbEqX76zDfSDeLrTxxl9E7vamSNzVL2xfXhg9frIhyzNCUF8IYJQgoOTfmut5gxoHruoMS0oGJX17/KwSv7kD7PZC1rBKuCpmCQMwlMCsfvHkIHfbr3weB5+8CKDZBX0JBeqe0iSNfZgcl40bMHSThmSAQOwmIBfTYOe7C61hEQO6HgqDgEPKM3I+UuvzU8CqkSWITPs05heHl7R8efrSOvdKmSjz/+JwNtTdgl9LOYHPDPlwXypSMf02YJtVgg+Vu+PwGrG6oP9En1b1vvQXSRfJyKbcNCsr7FPRJl9p/6eWlBAQHYG1hTUvblvQo2INEcRMpqNl0ouWOG6bzRGiWk4Dq82JaDvjwHLodg3QF5HRFyDKQwB3/O9T7tx7xrePj0dIDS4sI6j7+R560AanA2AO8/RT0rbyJVHN8TiGQspXUnw8FW8CzK3DnmD5zyd3j31Kqh8mTFtqzlPm2oC6dGLc0zAadiCfecHA03NQv5us2eJXrByV6QFztl+XYdWsXw48Pp0jqIqysuTLcUQsICqbKzCM8ePWRAdVy0+u7euezDl5njssNatqnZUHrogaOurzNVI8b8povpClIIMpzQyoBsaah/plzwFVNb4JREJ8mRD9+/5hqW6phZWGFV2svXemj2Hwdvn+Y3od7Y5vClk11N2kDxaUtsLUTZHSAzl/uhb+w7PTdlzReeFKR037RBRLlmBFdxaK/5gkoOTfCsjL0q5qbPlUjORiyqj7cdoMGC6BQS81zEwYKApohIL0nTvtSHnSoL9gk0ZkmvVPajdaXzHQZUIEcqeT7/qZk3NAMV2GIICAIyEJALKDLglEIEQS0S0Duh4JH/h8pNdkVa0sLrk2oqau1Ge71TzV44AlNV0O+etoF9MUyaWG02Jpiur8dbXaU5DYRnKwPx5M7z99TaYYbca0t8R7rSBwrIz7ua55MJAY+OA1rm8DHl5Aiuz6dZoovD77m7tt/7H/w9gHTvabj6uuq+0nK+CnpX7S/rsahhQZT/0YHv9xxIzq2iL7aIaD6vFhcCfzOQrO1YKuhWqLaGRLFLXG550Jft766+ttSHW5jrlr/O4bPozcsbVeMKrZpYP9w8JgHaeyh29GfF72k1JdSjdawBfV7JyDgzY8q46eArNKCennIVg5S5Q3/NJ3/Qzg8Cc6vlT696E+7F+8M5QdBwpTGuGHStlLqfCmFfsI4CTnR4kS4Gxj+OXabCXuukCZJPNwGVvp22h+44Ptal9o9UTxrzo6spntOUftSPW6o7aDQF2UCUZ4bQZ9hRk79ZpzvTilF2RDRMcoEvB570dG5I5kTZ2ZPwz1RlhNTOt72v039f+uTwDqBbtOZJt4PDo2F47OgaHuo+79IUb8LCCL/GGdCQ+HMiKr89iWjSaQdVWgQ5Zihgm1ChWkJKDk3Wiz24OTtF8xuVhCnwpFkYtrZG86uhApDodIw00IR2gUBcyIgZQtbVQ+SZ4U+XzKGfbHfcfZRrj15y4oOxamY50upUBl8UzJuyGCeECEICAIaIiAW0DU0GMIUQUAJAnI/FJy594pGC06QIVl83IdWjtjk9S3g2l6oMxuKdVTCNVll3ntzjzrb6+hO2Z1qecqoDx7fn7Tb3ass9hmSymqbZoVdd4bN7SHwA6QvAi03QaJUmjVXLsOOPzzOFM8pSHNGuqSTgVJa97wp8sqlwuRy5I4bJndIGCALAdXnxaZ24PMvOE6GUr/L4oMQYhyBxRcX8/e5v6mbvS6Tyk0yqnP31WfY7/2YMXXz0d4Wfe1zqS6koXWLg4Pg8YXvFtRPQuD7H21ImEqfIjOshnqi1OD+Pzg5H4I+6tvmawBVRsFv5ld6Q0qhL6VH/hzymb1Oe8mU5Mc07P4fAik//TD+HwOZ1qgATYv/+HOpNrrDJBdd+sO1nUtQJqf6mwdUjxtGzVLR2JQEojU3tnWDixugZE+oYVxsMqXPMU331utbGXNyDGUylGFh1YUxzT2j/QkMDqTY2mJIqe1dm7iSKoEG3ovWNYPr+6HmdCjR1SCfpI3h0gbxVR0dKJ9bAz58sTpaMcMgz0UjcyWg5NwoM8WVh68/sqV7KYplTfFrREdngOt4KNgSnBaYK05htyCgPoETc+HAn5C3DjSXNkB/uzqvPM2hK08YX9+ONqWyymabknFDNiOFIEFAENAEAbGArolhEEYIAsoRkPuhYPdFP/5Yd45iWZKzpUfpiA3f8QecWw2VRkCFQco5KJPkk34n6XqwK9mTZmdHgx1GS231jwfuN18wySk/LUvEgvp/59aAtMM6NBhyVoUmKyGefOmUjB4AlTt8Dv7MKp9VSItLH4M+6k4FNs3dlD8K/0HSeOa/gULuuKHy8Ah1ChFQfV4cGAkn5kCJ7lBzqkJeCbG/IjD46GD23dlHnyJ96Jy/s1GwJu7xYcmxO3Qsk41Rn6aD9zbIURnabDdKztfGwYHgdw7uHNWnfL9/6tsieVgjCyv9fUm6MpeC6hMgoz67jLlezXc3x/uFNzMrzKR61uo/uBHGOE+axOztUy7crECDNl9g85kH+nGom091DKrHDdU9FAqjSiBac+PKbtjYCpJmhr4XI63rHFUbRb9fE5h1ZpauzFHLvC11m0nFBbW21cL3rS/LHJdRPK0GaojPzq8vs9V+rz6DiwFXz3Vn2XPxEUNr5qV7Be1sPotWzDDAb9HEfAkoNTcCpfKFI/YREgqew6uQOqLyhWHowkomSOWHOuw1X6DCckFAbQLbu8OF9VBxOFQc8oP2sbu8We5+l67lszO8lrQrW55Lqbghj3VCiiAgCGiJgFhA19JoCFsEAQUIyP1QEJYqtG7B9PzdonDEFoelizOThY9tN7Yx+sToKJ+gmLr/KgvcbtHCIROTG8bgWr1SPj8pDaDLOP3YSzVs6/0NVrGz5qFU+3Hm6Znsv7tfhyN5vOTMqjiLYmnNe8FG7rihQGgTIk1AQPV54bkE9g6EPLWgxXoTeCxUNt7ZmGuvrvF35b+pmKmiUUBWn7zLyB3edMn+ij/9egIW0P04pLU3Sk6EjYMC4OGZbyfUfU9B8Gf4LRdUG6ufNzGgvMaYE2PYemMrXfJ3oXeR3l9x+L78oKt9/jk4hOUdilMpgpSG+y8/ovuas2T9LQFugyrJw94IKarHDSNsE01NSyBac+PzB5ieQ58FqesRSF/ItM7EUu39Dvfj0P1DDHUYSivbVrGUwo9u9zjUAylb1ehSo2mcu7FpmUhlDqZ82dg95C7EN6xE2Xy3m0zbf41I3/dV9i5aMUNlW4U6dQkoNTfuvXhPheluxLO25Or4GpFnKfT1hKXVIElG6O+tLgShTRAwZwILyuhLeTVfB3lr/+DJcvc7jN3lQw27tCxsU1Q2L5WKG7IZKAQJAoKAZgiIBXTNDIUwRBBQhoDcDwXjdvmwzP0O3cpnZ9ivdv+dnAfOw8G+MTReqoxzMkqVUtRKp4mlU8QjS400WvK+S4/osfYs+dIl0Z0Ci5GXVJ92/1DwXKx3r0xfqDomRixQRHe8PB95MunUJG7534pSreDo6pe7v9xxQ277hDzTEFB9Xtw4CGsb62tm93A3jdOxWGtwSDAOax0iTB8eGZrD157SYbknuxJOIn+wNxRqBQ3mR9Yt6j8P/Aiv70OKHGBlHXU5Guu5/up63f2lfMbyzKsy76t1fTacY8d5P0rn+E2Xnj2iWrtSPdvC4w4QGByK64AKZE+lbrYY1eOGxsZPmBMxgWjPjY1t4MpOKDcQqhj/7C7GJvoEGu5syI1XN3SxSYpR4oKpnlNZc2UN7e3aM6DYANMiue8ByxwhcXoYcMVgW45cf0a7ZZ5kT5UQ1wHGbZ4zWEkUGkY7ZkRBp+hiHgSUmhvHbzyn9dJT5EydiEP9K0QO4+0TmJkbLCzhzydgHTfyPqKFIBDbCQR9hknp9aW++l6CZD9m9Dzk84TOq05jlz4Je3rL961VqbgR24dT+C8IxEQCYgE9Jo6q8EkQ+I6A3A8FPdacYd/lLzVNy2SLmPWFjbC9K2SrAO12an5Mhh8bzq7bu6KUplZyTqqLJdXHsra04PJYR2ziWGneZ6MMDPykH0+fL+nta0yBkj2MEhHTG7/69IrKmysj1azdWm8ruZPnNluX5Y4bZgtCGP4DAdXnxbNrMM8B4iWBoffFZh2V5+O9N/eos70ONlY2eLT0wMrSuPvarWfvmDJ7JkviziLUOj4Wvc5A0gwqe2H+6s4/PU+bfW1InSA1Lk1cdA5deuBP3bnHdX/e3ass9hl+XTqkzdJTHLvxnBG1belcLruqUFSPG6p6J5RFh0C058bFTbCtC6TMA394RscU0TcKBEJDQ3WbrD4Ff2K3026yJMkSBSkxr8uGqxuYeGqiLmuLlL3FpJfXUtjTX19uq/VWg0159jaA4hMP6ZK4XB7jSMJ42tiUFu2YYTAB0dDcCCg1N9adus/w7ZeolCcVyzs4RI5FytY3MS0EfYLe5yCFus9ckRsoWggCGiTw+BIsLAs2SWHIvZ/e+a8/eUv12UdJYmPNxTGOsjmgVNyQzUAhSBAQBDRDQCyga2YohCGCgDIE5H4oqD/PnQu+r1nYuig17NNGbPTNQ7CmkdmcHGy/vz1nnpxharmp1Mpey+jBkD4iFZtwiBfvP7Pt99IUyWxYijyjFZmig5T+b31LuHccLOOA00LIb+KUhKbgYIDOsFSW7fK1Y2DxgQb00GYTueOGNr0UVhlLQPV5IaXonZROb6YRqUeN9Uu0D5+Ay30X+h7ui20KWzbV3WQ0pk+fPvFwUiFyWD7iY8m+xK8x1mgZogO8D3xPqXWlCCWUI82O6EqFtFxyipO3X9CgUHr+av6LcjpfAC47fodxu30olf031nctqSpW1eOGqt4JZdEhEO258fE1TM+pP7HU0xNS5YmOOaKvkQSevH9C1S1VsbKwwqu1F3GkdwRxcdLvJF0PdiVb0mzsbGDiTeR7BoDXP1CmD1T7Un7LwDFymHiIp28D2NqjFEWzpDCwl7LNoh0zlDVPSDchAaXmRliZvnalsjC2voEliOYWh+fXoe0OyK6dDA4mHB6hWhD4NYHz6+DfHpClLHTY81PbD5+DyDfKWffvF0ZVJ2kCeZ43lIobYrgFAUEg5hEQC+gxb0yFR4LADwTkfigoMekQT94EsPOPMhTImCxi2n7nYXEFSJQWBl7T/Kg4bnHE770fq2uuplDqqNVRlFLVHr72jLH17GhXOqvmfTbIwDeP9CmUpXpEcRND87WQ3YD0ZQYJj3mN3Hzd6OXai99sfuNgk4Nm+zFR7rgR80ZaOx7Nnz+f6dOn8+jRI+zs7Pjrr78oVy781GZLlixh1apVXL58WedA0aJFmTRpEg4OBpyoAEwyL6TFkffPoNtRSFdQO+BjgSVLLi5hzrk51Mleh8nlJhvvsfTRfs8Anocmwa/tCQrkyGS8DNFDR0DKBCBlBFhUbREBb3LSYYUXca0scR1YgYzJE0RKKayGp5Ql5+yoaiSxkefDU6SKTRU3DDFMtDE5AVnuKdJmXWnTbuWRUN58Ny6afDCiYIDXYy86OnckU+JM7G24NwoSYmYXv3d+OG51xNrSGq9WXrrfTXYtqwH3T4LTYijYzCgzwt5rx9W3o20pbbzXyhIzjKIgGpsLAaXmRs91Z9lz8ZFxGXzWNIabB6HuHCjazlwQCjsFAdMR2D8cPOZBie5Qc2q4dkiHlZ6/CzAo85ahjigVNwzVL9oJAoKA+RAQC+jmM1bCUkEgSgTkfCgIDA4h94h9SJmpvP6sSqrE8SK2yf8BzLbTn1ge+UzTqXellNvF1hQjODSYQ40PkSZhmiixnn3wOv9zuUHDIhmY1TRqi/BRUqxUp+c3YbUT+N+HRGmg1RZIV0ApbTFCbmBIIFU3V+Xlp5fMrTyXCpnMc7OBnHEjRgysRp3YuHEjbdq0QVpEL1OmDIsWLeKff/7Bx8eHzJl/rB0mudCqVStdu9KlS2NjY8O0adPYtm0b3t7eZMgQeWptk8yLJZXh4Rlouhry1dPoSMRMs4YcHcLeO3ujVtok4C3MKazb/DAysD0OTYdQt2D6mAlKBa8GuA3gwL0D9C3cj40uObj+5B1dy2dneC1bg7VXmenGrWfvmdeyCLULfMnsYHDvqDc0SdyIurmip4oEZJkbZ1bArj6QvjB0dVPReqFq6/WtjDk5hjLpy7Cw2kIB5AuBkNAQiq8pzueQz7qNBdIGA5Nc0gv7lCwQ4A/dj0Pa/EaZEfZe62iXhkVtihnVV6nGssQMpYwTck1KQKm5UX/ucS488GdRm6I42v0i++L33odlfig3AKqMMikXoVwQMAsCK+rA3WNQby4UaROuyU7z3Tl3/zXzWxWhVn553mOUihtmwVwYKQgIAkYREAvoRuESjQUB8yMg50PBg1cfKDv1sO7U09XxNbC0tIgYiFQze+KXhWipjk38X5xWNzHW708KnGl9BksLyyhZ5HLlCZ1WniZX6kQc7G+eC6dfHZcWrNY2gQ8v9LW72myH5No4fRClwVGx03Sv6azyWUW1LNWYVXGWiprlUyVn3JDPKiHpvwRKlChBkSJFWLBgwdcf2dra0qBBAyZPjvzEcHBwMMmTJ2fu3Lm0bds2UsAmmReb24P3dqg+EUr/EamNooF8BJrsasLVl1eZU2kOlTJXMk6w6wQ4Op2ncTNS+s0k+jna0bNSTuNkiNZfCfxz6R/+d/Z/2CWpiMepGiSNH4ejgyoZlcJw4h4flhy7o/omP5PEDTF3zIKALHPj3TOYkQsIhb6XIZmJFivNgri8Rs4+M5tll5fRIm8LhpcYLq9wM5fmtMOJm69vsqDqAspmKGsab8I2s1tYwZ+PwPoXG9/DsdDH7w215hwjrrUlZ0dWI5EG6qDLEjNMMxpCq8IElJobhccd4NWHQPb2Lke+9EkM88L9f3BwFORvAo3+MayPaCUIxFYC0mavadng4yvoegTSh38Qqc+Gc+w478ewmnnpViGHLLSUihuyGCeECAKCgKYIiAV0TQ2HMEYQkJ+AnA8FXndf0mThSTKliM+xwZUjN3ZyZv2u9188CEUuRPkWpx+fpoNzh2inIHz69hMOE12wsIBLYxw18aEhSvRuucKG1hD4HtIV0p88T5QqSqJiY6drL6/ReFdjXcrGw00Ok8xGu5tHIhofOeNGbJwDavj8+fNnEiRIwObNm3Fycvqqsk+fPpw/f54jR45Easbbt29JnTq1TkadOnUibW+SeXFwNLj/BQ7doNa0SG0UDeQhEBAcQJn1ZZB+3+O0h8xJfs5oEKGmN34wpwgEfWRX3qn0Op+JFg6ZmNxQZDCJ6ugce3CM311+xyIwDW9u9jMulegXpSdvvaDFEg9+SxgXzz+rYvWrTZBRNTScfiaJGzLaH5tEqVkSROIq29xYXgvuuUONKVCyR2waMpP62u9wPw7dP8SQ4kNona+1SW3RmvIwNk1zN2Www2DiWRm3eC2LP9cPwLomkMoWenoYLTI0NJQqM49w+/l7/te8EPULRZ6pyGglRnaQLWYYqVc01z4BJebGu4Ag7Efr6y5fGlOdxIaWv/H+Fza3g4wO0Pmg9uEJCwUBUxL4frPXcD+IYxOuNTOcrzH38E1alcjMRCfjMqpE5J4SccOUKIVuQUAQUI6AWEBXjq2QLAhogoCcDwU7zj+kz4bzOGRLwaZupSL3b21TuOEMVUZDuf6RtzdRi123djH8+HBKpC3BP47R2yVcarILj/w/sbFrSUpk/81EHkVD7eWtsK0bhARCtgr6mufxEkdDYOzs2nRXU668vMIwh2G0tG1pdhDkjBtm57yZGOzn56dLu+7u7q5LyR52STXNV65cybVr1yL1pGfPnjg7O+tqoksp3f97BQQEIP0Ku6R5kSlTJvz9/UmSxMBTGJFaEUkDr6Ww5//snQV0FccagD8ikODu7u4QIEiABHd3Ly0uRUux4gR3d3crGgIEt+AeggQIGkiAEIjwzu5teKVI7r27eyWZPaenfe/Ob99MZmVm/r8v5KwOLdYp1Sbk9SQw68Is5l+eT6q4qdjXcB+2NrZ6SgLbu8GFVZChFJsKLaLfpss4Z0/G6k6l9NchWn5F4EXwCyptrMTnz7FI/HwiB/u6EcfOgD4BpDI8RUcd4G1IGFu6lqFoxiQmoSzuJybBrNiIqUuCSA6rNjZOzYW9gyCTM7QXtbgVDwY9FTTc0ZDbr28zu/Jsyqcvr6dUzGgWmTVEijalY0o6FOhAwxwNcbD7/sKAJlSOTQWPEZC/ITRaYpSJyftvMdPTB7e8qVjYxvxp3FWbM4yiIYQsmYAWY+OGfxDVpx8lSVx7Lgyron/4j71hYUVdCbx+t/WXEy0FgZhI4NZeWNsUUuaFrid/SGDDWT8GbL5M+ZwpWNGh5DftjvgdYdPtTQxyGkS6+Ppt+NJi3oiJXShiFgRiAgGxgB4TelnEGKMJqPlQMP/IXcbtuUm9wmmZ1qxI1FzPLgKpBlTG0tBhb9TtzdRi3qV5zL44m3rZ6zHKeZQiL35deY59154xpEYefimfVZEukwufXgB7BujSYOarD/XnG5zuz+Q+W6jB1TdWM/7MePImy8v6Wust1Msfu6XmvGF1wVuJw5EL6CdOnKB06f9vaBozZgwrV67k5s2bP41Eqn8+fvx4Dh8+TMGC3z8ZPGLECEaOHPmNHpMuoN/xgNUNIWU+6HrCSnrHut30DfRFWhgJiwhjcoXJVMlswEfDZ9dgrrPuPtLxAGfCstNk/kkyJo2L1wAD08BbN0ZVvX8eFEKljRWJZfeO33JMp1sZPbIAfceDbmu8+fuyP90rZqdf1Vyq+vgjZeJ+YhLMio2YuiSI5LBqY+ONH0zLD8TSLVbET6mYh1DwcwLS6WSnNU58kDKN1NtJ5kSizNO/iUn3T+lDvrSQ/iz4mfxTcsfktM/Xnsa5GuNo56j9ENvcCa5shEpDoXw/o+zdfBpEtWlH5fJt54e66n8C1yhrUQupNmdEbUq0sDICWoyNfdee8uvK8xRMn4gd3Q0oxRAcoEtJLV1DnoK9Cf7eray/hLuCwBcCXu4glf4q0AQaLvwhmBN3X9Ji4WmyJI/HoX4uX7WTnkWk0imP3z2mQ/4O9CnWRy/AWswbehkWjQQBQcDqCIgFdKvrMuGwtROw2vSIwIgd11h24j5dXLIxsFruqLvi9QOYXhCkmuIDfMHRNKedonbs6xbDTwxny50tdC3clS6FlKV+nH3IB/d9t6hdKC0zm+uxycBQZ7VoL9UdOjQWvP5Jj1yiE1SfCIacONTCLyvW+TrktXxaUPqAtrnOZnImyWlV0YiXCcvvLiUp3CdNmsTo0aPx8PCgePEfnyiyiBPoL27D7BIQOwEM9kOukSEuzQhIiyId9nXg3LNzlEtXTj5ZGMsQ5qsago8H5K0LTVbgH/iB0uM85XTht0ZVw87WRjPfo7PiP7ddYfPjEdjFv81Qp2E0yd3YqHC3eD+i74ZL5EmTkD29yhmlw1AhcT8xlJjp2yu5n0R6a2hJEElO1bGxwAWeXIDa06FYO9NDjNBwaoYAACAASURBVGEWnwc/p/LGytjGsuVsy7PY29rHMAL6hfsp/BPbfLbJC+n+7/1loaQOSWmXrx1NczUlrn1c/RQZ02pOGXh+DZqvg1zVjdGA9EzgOuUId1+8Z2rTQtQvkt4oPWoJqTpnqOWU0GMRBLQYG4uO+jL67xvULJiG2S2K6h+n9G1lXAb49Ba6nYUU1vUdQP9ARUtBQAUCG9rA9e3gNgqce/5Q4aPXwZSdcEje0HVjVLWvSlHNvDCTBZcXyJnTdtTbofe9VYt5QwUiQoUgIAhYIAGxgG6BnSJcir4ErDo9ItB5xTn2X3/GqLr5aF1az5MGs53gxU1d6jgphZwFXr/s/4VT/qcY7TyautnrKvLw6J0XtF58hkzJ4nKkvxWctosI12UJOL9UF7fLYKgwUCxSKRoFOuHI+odt87alXwnjTn6o4IZRKsTLhFHYTC4knRgsVqwY0sasyCtv3rzUrVuXcePGfdcfd3d3efFcSt1eqpRhKbXNMi5CP8CY1LpYBtyDuElNzjkmGdzus50/j/+Jg60D2+pt0zsFnszo7iFYWQ9s7KHbaUiWjYiIz+QeupdP4REcHVCRDEk1XCyIph3l8/wdVad5YZtsN3GSH0GqqTu09FCjog14/4liow8gfds9ObgSaRJpfyrKLPOGUXRirpApSoJIdDXdlHV0Mhz8C7K7QqvNMbczTRT5uafnaL+vPenjp2dPwz0msmq9ZkLDQ9npu1P+wC+dkJOuJHGS0CZfG5rnbk48+3jqBhceCmPS6Epy9b4CiTMarX/KgdvMOHgH1zwpWdS2hNF61BAU9xM1KEZPHVqMjeHbr7L85AN+q5CNQdX1ODzyb7SRG1haboYcrtETuohKEFCDwIyiEHAXWm+FbD/OsBUe8Zlcf+4hLOIzJwZVIm1i3TvMvcB7cua00IhQprpMxTWT/n9vWswbaiAROgQBQcDyCIgFdMvrE+FRNCZg1ekRgdozj3HlcaBcA02qhabXtX8onJgBBZtBg/l6iZi6Ua2ttXgQ9IAlVZdQIrWyDwNvgj9R+K8DcggXh7mROG5sU4ejv73QENjyC9zYoUt7WXMylOiov7xo+VMCh/0O08OzB8kcknGg8QHspUUlK7nEy4R1dFTkpqx58+bJadwXLFjAwoULuXbtGpkyZaJNmzZynfTIxXQpbfvQoUNZs2YNzs5Smm3dFT9+fPmfqC6zjQv3HPD+OXQ+DGmtJLNHVDAt8Pc3IW+os60Orz++pnfR3nQsYMD9ICICFpSHp1fA6TeoPuFLhJUmHcb35XvWdHKiTPbkFhi5ZbsUuXmxcO573I01n4IpCrK6xmqjnW449wTnH7xmTP38tHTKZLQefQXNNm/o66BohylKgkiYNS0L8vIOzCqu28DT3wccE4ue1ZCAlLlLyuBVJm0Z5rtZ5vudhuEbrVr6wL/bd7e8kP7w7UNZT6I4iWidpzUt8rQggZRtR43r2XWYWxriJIRBDxVtjL797C1VpnrJp/7O/ulKIkfzvc+I+4kag8M0Oqw562IkoQ7LzuJ58zlj6xeghZOBm1DWNodbu//5vtLJNNCFFUHA2gh8fAfjpMwmn6GfD8RP8dMIKrgf4sGrYNZ3LoVT1mRylpTOBzrLh6HKpivLnMpzDMqcJu4p1jZghL+CgPkIiAV087EXlmMYAVOlR9TydEfx0R68fPeRXT3Kkj9dIv168N5RWF4L4ibTPRTZWFb61ojPERRfVVzesbinwR7SJ1Cemi7ywW5lx5KUy/Hzh0D9IGrQKiQI1rWA+0fBNjY0WAj56mlgKOaqlMaU60ZXAkICmFVpFhUyVLAaGOJlwmq6Sj59Li2M+/v7kz9/fqZOnUr58uXlAFxcXMicOTPLli2T/7f03w8ePPgmuOHDh8sLG1FdZhsXi1zh0Vk5JbicGlxcmhAYdnwYW322kj1xdjbU3mDYpp+La2Hbb7qP9T0vQrxkX3xsu+QMR26/YELDAjQtYeAHSE0itR6lZ+4FyDXkbWLB4k4Z6XmshVw792Tzk9gaWWYlstRM5dwpWdxO2aZBfUiabd7QxznRRiag5B1F35Igkh0t31HkQCKzXknPtAWbiN7VkMC089NYfHUxzXI1Y0ipIRpaip6qpRJPe+7tkRfS7wfdl4OUFs8jF9KlRXVF1+WNsKUTZHCCjvsVqZKE3aYc4c7zd0xuXIiGxZS/KxvrkLifGEvOtHLWnnUxkpZUvkDKAmTUN509g+D0XCjTE6qMMm0HCGuCgLUQ8DsDi90gfmrodytKr1stOs0xn5e4NypI4+IZ2HtvL/29+hPbJjbb6m4jQ8IMUer4dwNxTzEIl2gsCMRoAmIBPUZ3vwjelARMlR5Rq9MdH8PCyfXnXhmZ91A3ksbT82S1lEJuYlb4GASdPCF9MVNij9LWi+AXcq1qm1g2nGt1zrAFgx9o777Gm12X/elfNRfdKmaP0geTN3j3HKQ6tU8v6+oKN1sNWa1ncdfkvBQYdD/rzorrK3DL5MYUlykKNJlWVLxMmJa3tVgz27jY1AGuboYqo6FMD2vBZVV+nn92nnZ7dXWDV1ZfSeGUhfX3X0qzP7M4BD0C1xFQts9XslL97lWnHtK9Ynb6Vc2lv94Y3lI6VVF/zgku+r2heckMjK6Xj9JrS/Mh7INc3y9LoixGEbrhH0T16UdxsLfh4rAqONjbGqVHXyGzzRv6OijayQRMXRJEsqn62PAcDV7ukKc2NF0lelZDAn0P9+XAgwMMKDGA1nlba2gpeqsOjwhn/4P9zL80n7uBd+Vg49vHl0+jS4vpiR2MzKTgMQKOTYVi7aH2NMUQp3ncZprHHSrlTskSE2y8+pHDqs8ZiskIBd8jYO1ZF6WYpGcwqQTRx7AIjvR3IVMyA8ssnJwD+wZD3nrQZLkYKIKAIPA9AmcX6cpJ6ll+Z/CWK6w985CelXPQuUJaOXPaiw8v6Fq4K10KdTGYsbinGIxMCAgCMZaAWECPsV0vAjc1AVOlR9TqdMfDV8GUdz9EHDsbbo6qZlBqHDa0gevbdbW1K/5havQ/tXfpxSVa7W5F6nipOdBIl3pd6bXQy5cxu29QNV8q5rcurlSduvIB92BlfXgt1RJOrqsTmdaAhRJ1vYn22m4F3KLRzkbY2dhxqPEh4z+EmZiUeJkwMXArMWe2cRH5IbhkZ6jhbiW0rMdNqTarNE/5BvrSMEdDRpSJOhvBV9EdnQIHR0LC9NDjHNh/XVd7gdddxu6+SZ1CaZnRXKTg13dk/H3Zn25rvIkb25bD/VxImdCBlrtbcvnFZdzLu1MtSzV9VX3VTvoo7DzekyeBISxtV4KKuVMapUdfIbPNG/o6KNrJBExdEkSyqfrY8L8E88uDnSMM8IXYcUXvakSg0Y5G3Hp9i9mVZ1M+vS7rjbiMJyBlRJM2JMy7NA+fNz6yorh2ceX66FKd9KQOSQ1TvroJ3NkHNSZByV8Mk/1O6zvP3uI21Qt721icG+JGorjmSeOu+pyhmIxQ8F8CSjKaROp6+/YtKVOmZOPGjdSqVeu7kLX65hVp7HlQCCXHHpQzAN0aXR17WwOzKN78W5ftTyo9JZWgEpcgIAh8S2Bnbzi/VLf5WtqEHcU157APE/feon6RdKTOso9VN1aRMUFGttTdQhzbOFGJf/O7uKcYjEwICAIxloBYQI+xXS8CNzUBJS8ThqRH/G9caj0UnPJ9RbMFp8icLC6H+1c0DN+FVbC9m0W+QESm/SmasijLq6uzOziSVZpEDpwcXNkwVlq2lmrTSifP3z2DxBmh9TZIlk1Li0I30GRnE24E3GBwycHyiRJruNSaN6whVuGj/gTMNi7OLYFdfSBnNWixXn+HRUu9CCy8vJAZF2bIH+ilk80GpY59/xJmFNFlmak/Hwo1+8bmniv+dFntTZGMidna1Vkvn2J6o09hEbhNPSLX+etVOQd93HLKSEadHMWG2xvokL8DfYp9fdLfEGZDtl5h9emHtCqVkdH1ChgianBbs80bBnsqBExZEkSirfrY+PwZpheENw91J9Clk+jiUp2AtAnHaY2T4mwYqjsWDRRKC+meDz3lhXRpg4J0SWU7pFT50kJ6csfk+kU5NT8E+kH7PZCpjH4yUbSqOtWLW8/efkmdq4pSA5WoPmcYaF80j5qAtWddjIzw/IMAGs49SbrEjhwfVCnqwP/bQvruMq8sOCaFgfcMlxcSgkBMIBBZpq3hYijQKMqId156Qo+1F8if+R1+ccci3TPnu86nTDrj7nPinhIlctFAEBAE/iEgFtDFUBAETEjAmtMjbr3wiD7rL1E6azLWdi5lGLW3z2Cy7uMv/e5AfG1POxni3OIri5nmPY2aWWsyvtx4Q0R/2PbdxzAKjNiH9B3vzJDKpEzgoIpeRUruH4O1zXWLHKny606eJ0itSKUQ1o/A6hurGX9mPHmT5WV9LetY/BMvE/r1bUxrZbZx4eOh2/yTMi90PRnTsGsar1+QH/V31Odj+EfGlh1L7WwGLjjtGQin50HqgtD5CNh8e0Ln6uNAas08RvL4sTn3p5um8UQX5UuP32Pkzuskjx9HTh0aL46dHNqGWxsYdWoUzmmdmec2z+hwPW8+o8Oyc/KH4WMDKxqWVchAq2abNwz0UzQ3PQFNxsa+IXByFhRsCg0WmD6oGGDxq/JXLc9hb2ue08jRGbW0SeGw32HmXZ7H9VfX5VAdbB1onKsx7fO1J0XcFD8O/8MbmJBJ9/vA++CYRBVUMw7eYcqB27jkSsGy9iVV0WmoEk3mDEOdEO1/SsDasy5GBhf57atU1qSs61za8F4PCYLx/9RjHvwI4iQwXIeQEASiM4GIcBiXHkKDodtZSPHP9+KfxHzJ7w11Zx8lUdYFRMS5T5VMVZjsMtloSuKeYjQ6ISgIxDgCYgE9xnW5CNicBKw5PWJkupwGRdMxpYkRKb/nVwD/i1B3DhRpac5u+Mr26FOjWX9rPb8U+IWeRXuq5pfrlCP4PH/H4rbFqZwnlWp6jVJ0YxdINYTDP0ImZ2i2BhyNrKlnlAMxW+h1yGsqbaxEWEQYm+tsJmeSqF8OzE1MvEyYuwcs077ZxsXLOzCrONjHgz8eQ6xYlgnIyrySPtB38ejC8SfHcUrjxEK3hYYtpL66C7NLQkQYtNkOWV2+SyDwQyiFRu6Xf7v+V1XixtYtBovr+wQkXi7uh3gdHMqY+vlp6fTPQghw5cUVWuxuQTKHZBxuanxK0JDQcAr/tZ+Q0Aj29i5H7tQJNesOs80bmkUkFKtFQJOx8fAULKkKcRJBfx+wi62Wu0LPPwTOPztPu73tSBc/HXsb7hVcNCQg3aePPj4qn0i/8vKKbElKU9soZyN5IT1VvO+8Yz44CUurQcJ00Fe3+K7GJb3XSu+3djaxOP+nedK4azJnqAFH6PhCwNqzLkYGErlhpHGx9Lg3LmRcD0/IDB9eQ5cTkCqfcTqElCAQXQm89IFZxXRld6T3exvbKCMNeP8JpxljcUi7WS5zImVO++59MEpNugbinqInKNFMEBAEEAvoYhAIAiYmYK3pEYduu8rKUw/oXjE7/armMpya5xjwmgh560ETdVKlG+7EtxJdPbrKHyaGlx4uf4xQ6+q74SJbvB9/lXpVLd0G6Tm/HHb1hs8RkLsWNFz0TX1ag/SJxkYR6HOoDx4PPWibty39SvQzSocphcTLhClpW48ts42L0BAY889H4v6+EC+Z9UCzYE8jS5jY29izpc4WMifKbJi3G9rA9e2Q3Q1abfqpbMER+wgKCWNf7/LkSi1O4fwM1oS9N5l7+C7ZUsSTedn9q+7mh7APlFpTSk5ZeKjJIf3T+X7HYMdlZzl48zn9q+aiW8XshvW9Aa3NNm8Y4KNoah4CmoyNiAiYkltXrkjKtpTd1TzBRWOrW+9sZdiJYZRJW4b5bvOjcaSWE5q0kH7iyQnmXprLpReXZMeke3fbfG3pWaTn15vfzi6Cv3/X695saITVpnlx8+lbJjYqSJPi/5yuNVSJgvaazBkK/BGi3ydgzVkXIyPqv/ESG88/4ne3nPSonMO4rp5fHvwvQfN1kKu6cTqElCAQXQlc3QKb2kPaotD5kF5RBnwIoPza6sSyDaZd7h787tRZL7kfNRL3FEX4hLAgEKMIiAX0GNXdItiYSECth4JOy8/iceM5o+vlp1Wp/5+G0pup31lY7Ko7ETLgLlhIur/62+vj88ZHUe2c7zFYfuI+w3dco2KuFCw1R5o7KX/80cngOUrnXpHWUGsa2IqTf3qPWRUbSmkYe3j2kE8NHmh8QP7oZcmXWvOGJccofDOcgFnHxaRc8O4p/HII0hU13Hkh8RWBoE9B1N1Wl5cfXtK1UFe6FO5iGCG/M7DYDWLZwG/HIVXen8rXmnmUq4+DWNSmOK55zZyVxbBITdr6yZsPVJx0mI9hESxsUxy377CS+s030Jc5ledQLn05o/1bdeoBf267SrFMSdjcxbjagfoYN+u8oY+Doo3ZCGg2Nnb1gXNLoFg7qD3dbPFFV8PTvaez6MoimuZqyp+l/oyuYVpkXNJC+in/U/KJdO/n3rKPf5X5i/o56v/f31194dxicO4NbiNVjWOW5x0m7b9NhZwpWN7B9GncNZszVKUklFlz1sXI3ms6/ySn7wUwrWlh6hVJZ1ynrm8NN3ZAtQlQ6jfjdAgpQSC6Ejj4l+57ZdG2UGeGXlGOODGCzXc2Ex6SmhnlluOaN61ecj9qJO4pivAJYUEgRhEQC+gxqrtFsDGRgFoPBTWmH+W6fxBL2hWnUm4jPn5LNW4m5YDgV9Dub8hc1uzdIX2EcFrjhHSiS0r/kyVRFtV88n74mgZzTsg1X88OcTUsLa5SL6TTN/sG6+rSSlfZvlB5mEh7rJSrAvnQiFBcN7oSEBLArEqzqJChggJt2ouqNW9o76mwYEoCZh0Xi9zg0RlovBzy1TNl2NHSVmT5kswJM8ulJWLbGpDmWNqgJaVI9jut25xVd1aUjLqsOs+eq08ZVisvHcqqd6+N0rCVNfh9wyU2ez+iZOakrP+11HefHQZ4DWDPvT30KtqLTgU6GR2htFhfZrwnNrGQa9MnjWfAGDDAqlnnDQP8FE1NT0CzseFzEFY1gHgp4PdbeqUFNX301mux7+G+HHhwgP7F+9MmXxvrDcSKPZfeYRdeWcjMCzPlNLbSfTx9gvS6iBZL9+dT0GAhFGyiapS+L95RabIujbv0fptEo/vGj5zWbM5QlZJQJhGw1qyLkb3nPN6Tx28+yBsMpY2GRl37hsDJWVCqK1QbZ5QKISQIRFsCqxvDnf1QYxKU/CXKMC8+v0jrPa3ldsH3f2N4lZq0KW1g9rT/WBH3lCixiwaCgCDwDwGxgC6GgiAQzQmo9VBQdNQBpJoze3qVI08aI2tlbukMl9eDcy9w+8vs5N+EvKHcet3prbMtz+Jg56CaT1J90fzD9xEW8ZnjgyqRLrGjarp/qijwEezsBT4eumbVxkMpA08WmsbTGGfF/aw7K66vwC2TG1Ncplh0/GrNGxYdpHDOYAJmHRebOsLVTeA2Cpx7Guy7EPg/AamOdsvdLfnMZxZXWUzJNAaeIru+Aza0Bvu40MMbEqaJEu+43TeY7+VLe+fMDK8t6kB+D9j1J0HUnHkUaX/Ctm7OFM6Q+Ltcl15dypTzU6iauSqTKkyKkv3PGlSffpQb/kFMbVqI+kX+WXxRpPFbYbPOGyrHItSpS0CzsRH2CSZlh5BAaL8HMmmXYUFdItahrfHOxtwMuGkVG0Ktg6hxXoZHhNNhXwf5JHrRlEVZUnUJtlJWmPGZ4GOgLjtM6vzGKf+JVOSm+gkNC9C0REbV9f9MoWZzhkmjEMa0IKDm2PgUFkGuoXvk57EzQyqTMoGR34jOLITd/XRl9Jqt1iJsoVMQsF4Ck/PA2yfQYR9kLPXTOMIiwmi2qxm3Xt8icxwXrlysRqeyWfiz1s8zoEUFR815Iypb4ndBQBCwbgJiAd26+094LwhESUCNhwJpMTj30L2yrUvDqpAorpHpp69sgs0dIWVe6HoySt+1bnD91XWa7moqp9U+3PSw6uYiPzDMbVmU6gWiXmBQ5IB06lxK1+cxAj69A+k0Yd3Zqp88UORjDBe+FXCLRjsbYWdjx6HGh0js8P3FEUvApMa8YQlxCB/UJWDWceExEo5NgRK/QE1li4bqUrEubdIHiOZ/N5cXP2pnrc3YcmMNCyA8FGY7QcBdKD8AKg3RS37lqQcM3XYV1zwpWdS2hF4yMa1R68WnOXrnJTULpmF2ix+XKZDq4P564Fek7AE76+9UhMl9301mH7pLrYJpmPUTm0qMmHXeUOK4kNWcgKZjY8uvcHkdlOoG1Qyc5zSP3HoNhIaHUnZdWYLDgtlebztZE2W13mCiged+b/1otKOR3B99ivWhQ3o3mJYfbOzgD3+wUz+zyOxDPrjvu0W5HMlZ2dHJpBQ1nTNMGokwpjYBNcfG/ZfvcZl0GAd7G278Vc34TIK398OaxpCqAHQ5pnbIQp8gYL0E3r8C93+eHwY/gjgJfhrLquurmHB2AgljJ6RVujlM2P2IqvlSMb91cUUM1Jw3FDkihAUBQcDiCYgFdIvvIuGgIKCMgBoPBfdevpdrcsaNbcu1kVWNf4kIDgD3bPA5AnpfhcQZlAWnUPrgg4P0PtybAskLsKbmGoXavhUfvOUya8/40cUlGwOr5VZd/xeFL31gRw94eEL3f6UvqUupmyKXdjaFZqMINNnZhBsBNxhccjAt8rQwSocphNSYN0zhp7BhWgJmHRfnlsKu3pCjCrTcaNrAo5G15deWM+ncJPkDhFS6JJljMsOiO70A9vTXpUbueSHKDx6Ryo/cfkHbJWfIlSoB+/qUN8xmDGjtdfsFbZacwd42Fgf7upAxWdwfRv3qwytcNrgQi1icanGKuFImACOv8w9e03DuCRI62HF+qBv2tjZGavqxmFnnDdWjEQrVJKDp2LixC9a3hEQZofdlUcZIhY7zDfRlkNcg+Tk2nn08vJp6GVb+QwUfhIpvCWy5s4XhJ4bLG3TX5e9Jru29Nd2sHrm4aPtPGnetyn98r681nTPE4LJqAmqOjchnshwp43Ogr4Kya89vwhwniJMIBj+0ar7CeUFAVQK+h2FFXUiSBXpd/Knq58HPqbOtDu9D3zOs9DCSRZSnw7JzclZUKTuqkkvNeUOJH0JWEBAELJ+AWEC3/D4SHgoCigio8VBwwuclLRadJmuKeHj+7qLIny912WpKJwk7KtOlUHrl9ZVMPDuRKpmqMNllskJt34qvOf2QP7ZewTl7MlZ3+nlaIqOMh4fByZlwaByEfwT7eOA6HEp0EvUejQKqvdDqG6sZf2Y8eZLmYUPtDdobNNKCGvOGkaaFmAUTMOu4iKxpmyI3dDttwZQs1zX/d/7U3V6XD2EfGFF6BA1zNjTMWSkd8owiEPwKDLyHR9ZNdbS35fpfCjbiGeaxVbQOj/hMzRlHufn0LR2cszCsdtTpCCtvqMzzD89ZWX0lhVMWNjpOyXaJMR5yiZ51nUtRKquBGyr0sGzWeUMP/0QT8xHQdGx8CtZt2g0Nhs5HIK3xfyfmI2QZlqV62xtubZA3X4WEh8gbsMaWHUuFDAoWliwjtGjhhdQ/PQ/15LDfYXLETsK6W5eInb8RNFqsWXy1Zh7l6uMgxjUoQPOSpkvjrumcoRktodgUBNQcG6tPP2DI1qtUzp2Sxe0UZE2S7kNj/8lCOPA+OBpZS90UAIUNQcCUBE7Mgv1DIE9taLrqp5YHHBnAnvt75ENPq2qswvfFe1yneJEgjh2XR1Qx/nAXoOa8YUp8wpYgIAiYnoBYQDc9c2FREDApATUeCjaff8TvGy9RNntyVnVSmKrNaxJ4joKc1aHFOpOy+K+xCWcmsOrGKtrla8fvxX9X3ZerjwOpNfMYCRzsuDxc2cPdN875X4Yd3cH/ku6nbJWg1jRIkkn1OIRC9Qi8DnlNpY2VkNIob6q9iVxJLTNLgBrzhnrUhCZLIWDWcfHqLswsqqu7/ccTcZrQiEHR07Mnh/wOUSRlEZZVW4aNVCvVkCsyjX7ynNDlJNja6S39MUxXCkaqJ3nuT1eSx4+jt2x0b7jp/CP6bbwkPyt49a9IknhRp9ztdrAbXo+8GOI0hGa5mylC1Hf9RbZceEzn8ln5o0YeRbq+J2zWeUP1aIRCNQloPjbWt4YbO6BcP6g8VE3XY4yulx9eyqebpflGukqlKcVo59GkipcqxjCwhkClzCQNdjQgICSA9m+C6Fu0J5RT/902ksXcw3eZsPemOt8GDACs+ZxhgC+iqWURUHNsjNtzg/lHfGlXJjMj6uRTFqh7Dnj/XGzkUkZRSEc3ApFldlz+AJeBP4zu5JOTdD7QWX5nXVtzLXmT5eXf5UUvDHXT673pRwbUnDeiWxeJeAQBQeBrAmIBXYwIQSCaE1DjoWCW5x0m7b9N42LpcW9cSBmxp1dgXlndIsiAe2DvoEyfAulenr3w9PPkD6c/aJ67uQJN3xcNDY8g3/B9fAqL4FA/F7Ikj6fcRmgIeE2EY9PgczhIdbSrjYNCzcWCknK6JtHQ51AfPB560CZvG/qX6G8Sm4YaUWPeMNSmaG/5BMw6LsI+wuiUOkj970K85JYPzII89HzoSa9DvbCLZcfG2hvJniS7Yd4FPoKZxSAsBJqthdw1DJMHSo87iH9gCFu7lqFIRnEKRwIofQSSSuRIXAZVz81vFbLpxXWG9wwWXllIwxwNGVFmhF4yP2q06/ITuq+5QPaU8fFQkqr0BwbMOm8oIiOEtSag+di4vBG2dILkuaD7Ga3DiXb6j/gdYdiJYfKirL2NPb2L9qZV3laGb76KdmQsM6BDDw/JJ9Fjff7M4nxdKFGim2aOPnwVTHn3Q9jEgrNDXElmok1xms8ZmhETirUmoObY6Lbam7+v+DO0Vl46ls2izPWFleHxyk4MvQAAIABJREFUOWiyEvLWUaZLSAsC0YXAXGd4dvWn75Sfwj/RcEdD7gfdp0XuFgx2Gvwl+pJjPHj+9iM7ujtTMH1io6moOW8Y7YQQFAQEAasgIBbQraKbhJOCgPEE1HgokNKQS+nIe1bOQV+3nMY7I0lKx8+m5IG3/tBqM2R3VaZPgXRkPepZlWZploaw3uzjXPR7w/RmhalbOJ0Cb4GHp2B7d3h1R6cnb12o7g4JxCkQZWBNKy2lWOzh2YOkDknxaOwhf5S0tEuNecPSYhL+KCdg9nExObfu3vGLJ6QrpjygGKIhODRYTt3+9P1TOubvSO9ivQ2PfGsXuLQGMjlDu7+N2rDVZP5JztwLUOd+aHgEFikx57APE/feIm0iBzz7ueBgb6uXn/vv7+f3I7+TL1k+1tVSls0n8EMoxUYdICziM0f6u5ApmQqb/f4VhdnnDb2IikbmIKD52JDKTkzMBhGh0O0MpLDMrD/mYP8zm1KZj8nnJrP+1nq5WfbE2ZlQfgI5kyh8B7S0QKObP2GfGD4vN1sSxCOtY0o219tO/NjxNYuyzqxjXH4UyJj6+WnpZJoMaJrPGZrREoq1JqDm2Kg98xhXHgeyoHUxquRLrcz1TR3g6maoMhrK9FCmS0gLAtGBgLQpfmxaiAiD3lcg8ffLgCy4vICZF2aSzCEZO+vvJEHsBF+ibzj3BOcfvGZWiyLUKpjWaCpqzhtGOyEEBQFBwCoIiAV0q+gm4aQgYDwBNR4K2i89w6FbL9Src7ajB3ivAKffoPoE44NTKFl2XVkCPwayuc5mzT4KDdt+lRUnH8i7l6VdzEZdH9/Cwb/gzEJpBwLETwU1JoldzEbBNL9QaEQorhtd5RM9MyvNxCWDi/md+o8HaswbFheUcEgxAbOPi8VVwO80NF4G+eorjiemKHA/686K6ytIFz8dW+tuxdHO0bDQ5cwx5XT3HwWbF37fcInN3o/oXzUX3SoaeALeMI+tovWj18FUnerF+0/hTGlSiAZF0+vt98Ogh9TcWpPYNrE53fI0djb6p9P/npHmC05x0vcVw2vnpb2zwtNW4n6idz/G9IYmuaesagQ+B6DSUCjfL6YjjzL+a6+uMchrkHziS7pa521Nr6K9iGMrym5ECc/cDZ5e5f38sjRMn47HdjbUzVaX0WVHa+bV/CN3GbfnJmWyJWPNL6U0s/NvxSaZM0wSiTCiNgE1x0bhv/bzJjiUPb3KkSdNQmWueoyAY1OhxC9Qc5IyXUJaEIgOBKRSlPPLgUMiGPjgu5uyH719RL3t9fgY/pHx5cZTM2vNryLvs/4iWy88ZmC13HRx0S971/fQqTlvRIeuETEIAoLAjwmIBXQxOgSBaE5AjYeCatO8uPn0Lcval8Al1z8pdJVwu7EL1reEJFmg5wWjTrIpMS/Jvg99T6k1upf9k81ParZDP7K2acnMSdnwW2nD3fbxgJ29IdBPJ1uklW4Hs6NIf2s4TMuRiFzQcs3oytSKUy3HsX88UWPesLighEOKCZh9XGzuBFc2gutIKGvEKWrFBKxPwc2AmzTb1Yzwz+HMqTyHcumlhXADrxX1wPcQ5G8IjZYYKPz/5tM97jDV4zZNi2dgQqOCRuuJDoIREZ9ptfg0J+6+onimJGz4tTQ2Ui5cPa+IzxGUWVtGfpbZWmer4Sn5/2NnoZcvY3bfoFyO5Kzs6KSnF/o1M/u8oZ+bopUZCJhkbJxfDjt7QprC8OsRM0RpHSbDI8JZem0psy/MJuxzGCkdUzKq7CjKpC1jHQEIL+HyBtjyC94ZitDOLoDPfGaayzQqZ6qsCR2/gGDKTdSlcT/9hyspEmi/ycIkc4YmtIRSrQmoNTaCQkIpOGK/7O7VkVWJH0fZBkXOLYVdvSFHVWi5QWsMQr8gYPkELq6BbV0gU1lo//c3/n7+/Jnunt3xeuRFydQlWVRlEbFiff2ONGX/LWZ4+tC8ZEb5kFfkJcn+t+3PgKg1b1g+dOGhICAIKCUgFtCVEhTygoCFE1DjoaDQyP1IKT739ylPzlT/T51jdOjSieoJWXQpFbufh+SmP4l25/UdGuxoQMLYCTne/LjRoUQlePvZW6pM9SJubFuujKiKrb4fyIMDYN8fcGmtzoSU2qj2DMhWMSqT4ncrIHAr4BaNdjaSTw16NvYkiYNlbYhQY96wgm4QLhpIwOzjQsrEcXQyFO8ItaYY6H3May4tiLTe05orL69QJVMVJrtMNhyCtIlrVUOwjQ3dz0KSzIbr+Edii/cj+m64ZNLTakY7q7HgylMPGLrtKg72NuzpVZ4syQ1Pm952T1u8n3szrtw4amWtpcjjuy/eUXnyEWLb2uA9zE35B+N/eWP2eUMRGSGsJQGTjI13L2ByTvgc8dNUoVrGaem6n7x7wuCjg+X5RLrcMrkxrNQwEjsYX1fU0mOOlv4dGA7Hp0HxDkxNk5ElV5eQJE4SttTdQnLH5JqEXHfWMS49CmRUvfy0LqV9GneTzBmakBJKtSag1ti49iSQmjOOkTRebLyHuil3+64nrKwPKXJDt9PK9QkNgoC1E9g7GE7NAacuUH38N9F4PvSk16Fe2MWykzOFZk2c9Zs2G8/50X/T5a82/r4/dYoXM2eRbuoU7FPqd+hLrXnD2rtE+C8ICAJRExAL6FEzEi0EAasmoPShIPhTGHmH7ZMZXBlRhQQOKtVrXl4H7h2BquOgdFeTM5Z2NHY72I3cSXOzsfZGzeyHR3ymwIh9BH8K128DglQj/vo22N0f3r8AYkGpLlBxCMTRro6dZgCE4h8SaLKzCTcCbjCo5CBa5mlpUaSUzhsWFYxwRjUCZh8XkScJs7tBq02qxRVdFa27uY4xp8cQ3z4+2+ttJ2Vc/T4mfOEREa5L3f78GpTuDlXHKEJ19n4AjeedJH0SR44NrKRIlzULS6f2qk7zkp8LhtXKS4eyxqVMH3t6LGtvrqVt3rb0K6EsNbV0YqPipMPcfxXMvFbFqJZfYc3Pf3WQ2ecNax4s0dx3k42NpTXhwTGzvXNYcjfu8t3FmFNjeBf6jrh2cRnsNFhO/W3ICS5Lji9G+ba6MdzZL5f5+lSsLS3+bsGt17con748syrN0qRPF3jdZezum5TKmpR1nY3ItGZgB5lszjDQL9Hc/ATUGht7rz7lt1XnKZQhMdu7OSsP7NVdmFkU7OPCH0/MknlReRBCgyCgIoFlteD+Uag7W5dd819XcGiwnLrd/70/HfN3pHex72ecO+X7imYLTpEpWVyO9K/Ip4cPud+4CeGBgSRp05rUf/yhl8NqzRt6GRONBAFBwKoJiAV0q+4+4bwgEDUBpQ8FPs/f4TrliHwaSUpjpdp1crbuhHVWF2izXTW1+iqKXFiomKEiMyrN0FfMqHZN5p3kzP0A3BsVpHHxDD/W8fYp/P073NylayPtVK4zEzKUNMquELJsAqtvrGb8mfHkSZqHDbUtK6Wb0nnDsskL74wlYPZxcfcQrKwHyXNB9zPGhhEj5F4Ev6DOtjryosjgkoNpkaeF4XFfWAXbu+lq1PW8CHGTGq7jXxLPgkJwGntQzsRyc1Q17G1tFOmzRmEpdXuLRac45RuAVNplXedSBqVu/3fMW+5sYfiJ4TilcZLTGyq9Ru68xtLj92lSPD0TGxVSqu6LvNnnDdUiEYrUJmCysXFqHuwdCBnLQIc9aodhlfqCPgUx+tRo9tzT8SiUohDjyo4jQ8KfvKdYZaQxyOkp+SDoEbTfC5lKI2Vba7qrKaERoQwvPZxGORupDuPR62DKTjiElF339B+VSZnAQXUb/1ZosjlD0yiEci0IqDU2Ikva1CqYhlktiip3NewjjE4FfIZ+PhA/hXKdQoMgYK0EpMNCEzJDyBvofATSFv4qkmnnp7H46mLSxEvDtrrbiCttPPnO9eTNB8qM98TOJhbXB5XDr0VzPvncxaFgQTKtXIFNHP1Kiqg1b1hrdwi/BQFBQH8CYgFdf1aipSBglQSUPhQcvfOC1ovPkCNlfA70raAeg5d3YFZxsLGHgfdNfrp6yrkpcq0/6eSvdAJYy2v0russOnZPTm0npbj77nX/GKxtAR8DwcYOyv2u+8dOv4c/Lf0XurUh8DrkNZU2ViIsIoxNtTeRK2kubQwZoVXpvGGESSFiBQTMPi4iT3HYOcIQf3GK4ydjpv+R/uy9v5d8yfKxusZqbG1sDRthb/xgkSu8ewpVRkOZHobJf6e1tHice9hePoVF4NW/IhmTff+jiGJDFqxgxcn7DNt+DUd7W/b0KkdmI1K3R4Z3/dV1eXEkcZzEeDX1Uny68Nidl3JddqmO7enBlY1e2P8vfrPPGxY8HmK6ayYbG4GPYGo+XVanfrchvoHZOKJZR519epY/jv3B0/dPsY1ly2+FfqNTgU5yWSFxWSmBD691ixLSNfABOOrS7y+/tpxJ5ybhaOcov2tkTJhR9QDrzT7ORb83/FU3H21KG1/mRR/HTDZn6OOMaGNRBNQaG8O2X2XFyQd0dcnGgGq51Ylxch54+wQ6HYT0xdXRKbQIAtZIIPJ5THreGPwY7P+/6erum7s02tGIsM9hTK84nUoZf5ytTMrymXvoHsLCwtn3ahfhx7ywS5mSzBs3Yp9K/2c8teYNa+wK4bMgIAgYRkAsoBvGS7QWBKyOgNKHgg3n/Biw6TLlc6ZgRQcVT0JLuw9nFIbX96HZGshd06Rs+x3px777++hfvD9t8rXR1PaOS0/oufbCj1OBhQTCnNIQ9BjSFoE6syD1DxbaNfVUKDc1gT6H+uDx0IM2edvQv0R/U5v/oT2l84bFBCIcUZWA2ceFOMWhV38ef3yc3zx+wyaWDWtrriVvsrx6yX1pFPgYltXQ3Z+T54Tfjqm2mavy5MPcffGe1Z2ccM6uTU1Ww4I1XesHr95TbdpRPoSGM6J2Xto5G5e6PdLjj+EfKbW6lPyh6UCjA6SOpyzturSxochf+3n/KZwd3Z0pmF6d+sdmnzdM18XCkoEETDo2FlSEJ95QS6oR3d5AT6NH89DwUGZenMmyq8v4zGcyJsjIuHLjKJiiYPQIMCZH8eAELK0OCdND32tfSER8jqDT/k5ImyakLAPLqi1TfaPEoqO+jP77BiWzJGXDr9qmcTfpnBGTx5MVxq7W2Gi39AyHb71gXIMCNC+p0oaTJdXg4UlotATyN7RCusJlQUAlArf2wNpmkDIvdD35RalUSqrj/o7yvapC+grMrDQzyo3BUump8l4baXbbk1ixY5Np9SocCxQwyFG15g2DjIrGgoAgYJUExAK6VXabcFoQ0J+A0oeC6R53mOpxm2YlMjC+ocofWHYPgDPzoWhbqKNtGvX/Emv5d0suv7zMVJepuGZy1R+oES3vv3yPy6TDxLa1kdPgx7b7T9ra7d3hwkpIkgW6HIfY8YywIkSskcBhv8P08OxBUoekeDT2wF7KyGABl9J5wwJCEC5oQMAixoU4xfHTng0JC6H+9vo8eveIVnlaMbDkQMNGQpA/LKsJAXchSWZotxsSpTNMx09aa/JhUjXvtFMknb5vtvAUZ+4F4JQlKWt/MT51+7+9bLCjgZymV/rQ5JLBRXEAXVadZ8/Vp/SqnIM+bjkV65MUWMS8oUokQonaBEw6No5OgYMjIVtlaL1F7VAsXp/vG18GHR3EjYAbsq8NczRkQIkBP0yPavEBCQe/JnBmIezuBzmqQMuNX/325N0TGu5oKJd06VmkJ78U/EVVeo/ffMB5vKecxv3U4MqkSqhdGneTzhmqUhLKtCag1tjQZKPnll/h8jqoPBzK9dUahdAvCFgugSPucGg0FGwKDRZ88XOX7y4GHx1MHNs4cur29AnSRxnDuH7TqbdrntwurftEEtWuHaXMfxuoNW8YbFgICAKCgNUREAvoVtdlwmFBwDACSh8KBm2+zLqzfvRxzUkv1xyGGY+q9R0PWN0QEqSFvtdNmo634oaKvPzwknW11skpbrW8pB2VhUbuJygkjF09ypI/XaL/m/PxgFXSTuRY0H43ZCqjpStCt4URkOoSum50JSAkQLUFEDVCVDpvqOGD0GF5BCxiXCyuCn6nxCmOHwyPGd4zWHhlIanipmJ7ve3EszdgQ9bbZ7rF81d3IFFGaP83JFbp9M0//mqSGtPy/lS+8Wjp8XuM3HmduLFt2durvGrp6/84+gc7fXfSrXA3OQ2z0isy61DB9InY0b2sUnWyvEXMG6pEIpSoTcCkY+OlD8wqpiuT1P/ulxTXasdkafqkd5B1t9Yx+dxkpKwVUsmHEWVGUDljZUtzVfijhMCuPnBuCZTtA64jvtG04+4Ohhwbgl0sO1bXXG14ZpoofGsw5zjeD9+okl3lZ6ZMOmco6Q8ha3ICaowNzUoNRW7gSpoVfpMOS8S8EkYmHxDCoGUS2NAGrm8Ht1Hg3FP28e2nt9TeWptXIa/oUaQHnQt2jtL3D1eu4tO8BXZhodx1bUCtWWOilPleAzXmDaMMCyFBQBCwOgJiAd3qukw4LAgYRkDpQ0GbJWfwuv2CiQ0L0qREBsOMR9U6NERXry3sg+5lwkRpy6UPSMVX6epPSXVDkzgkicpTxb+3WnSaYz4vGVM/Py2dMun0/Tt1u1MXqD5esR2hwPoIuJ91Z8X1FbhmdGVqxakWEYDSecMighBOqE7AIsbFls5web3uA7H0oVhcXwjIteN2NiIsIoxpLtOonMmABZJ3L2B5LXhxU5cCVlo8l06gq3wt9PJlzO4b1CqYhlktiqqs3TLVSVloqk33IiQ0glF189FaxRqxK66twP2cu2r3jxdvP1JijIcM8swflUmpwklCi5g3LHNoxHivTD42ZpeCFzeg/gIo1DTa85c2Cg87Poyjj4/KsTqndWaU8yhSxE0R7WOPcQEurgJ+p6HBIijY+JvwpY0UfQ/3lctGZUuUTd5A7mCn3knxxcfuMWrXdUpkTsLG37TbDG7yOSPGDSTrDViNsfEsKASnsQextYnFzVHVsLf9T9ZAY/F8eKMr1yfVQS/VFaqNM1aTkBMErJvAjCIQ4Autt0G2inIs406PY83NNWROmJnNdTYT2zb2T2MMff6c+42bEPbsGadT5eHir0OY1qKYUVzUmDeMMiyEBAFBwOoIiAV0q+sy4bAgYBgBpQ8FblOOcOf5O1Z2LEm5HBp8cFnTFG7vhcrDoNzvhgVnZOv7gfepva02jnaOnG5xOsr6Okaa+Ups4t6bzDl89+tU+Dt6gPcKkbpdDcBWrONWwC150cvOxg7Pxp4m2dARFS6l80ZU+sXv1knAIsaF52jwcofiHaCWZWw4sYTelOqctt/bHu/n3rikd2FGpRn639vev4LlteH5NV1GGGnxXDolo8G19+pTflt1nkIZErO9m7MGFixLpXSaqemCk5y9/5rSWZPJtd9tbGKp5uQZ/zNyzcD08dOzp+EeVfTWnX2cS35vmNCwAE1LKM9AYBHzhipkhBK1CZh8bETeP3LXgmar1Q7HovRJJYKGnxguZziKbRObvsX70jx3c2xiqbQgZFHRxnBnPn+G8RnhYxB0OQGpvp9Z7XXIa7nEi3TKz6gSLz/B7B/4gdLjPOUWUhr31InUW5z/t1mTzxkxfGhZU/hqjI2z9wNoPO8k6ZM4cmxgJXXDj8y8KGUdbPc3ZI7+z8DqAhTarJ7Ax7cwTjqQ9VmXCShecq6/uk7zv5sjvccucFtA6bSlfxpmxMePPGjThpBLl/mULhPNC/9C7myp2dLVuL8nNeYNq+8XEYAgIAjoRUAsoOuFSTQSBKyXgNKHggLD9/H2YxgefSuQPWV89UGcXQR//w4ZS0OHverr/47GE09O8OuBX+Ud+NvqbTOJzb1X/fltlTd50iRkT69yIFK3m4S7tRhpsrOJXJdyUMlBtMzT0uxuK503zB6AcEATAhYxLqRNR9Lmo+yu0GqzJnFao9Ktd7Yy7MQweWOYVDsubfy0+oURHADL68CzKxA/te6jXvLs+ska0erak0BqzjhGsnixOT/UzQgN1iUSeSovnpS6vXd5MiRVN21n4MdAyq7TpVo/0fwECWInUAxouscdpnrcpkreVCxoo8vWo+SyiHlDSQBCVjMCJh8b/pdgfnmwc4QBvtEyje6HsA9ImY023tbVwc6VJBfjy40nexLt5nXNBohQrB+BNw9hWgFdeYI//MHux6f3vB550e1gN1nvwioLKZWmlH429GjVaO4Jzj14zbBaeelQNoseEoY3MfmcYbiLQsJMBNQYG1u8H9F3wyXKZEvGml/U+9v4gmR7d7iwUpfhSdrsEtuAMktm4irMCgKqEXh4GpZU0b1v9rslL5q32t2KKy+vUD1zdSZWmPhTU1ImFf9BgwjcvgObRIn4NGMRtbc+IEWCOJwd4mqUm2rMG0YZFkKCgCBgdQTEArrVdZlwWBAwjICSh4K3IaEUGLFfNnhtZFXixbEzzLg+rSNf+qUTEdLHLEft06lvvr2ZESdHUDZdWea6ztXHS8Vtnrz5QJnxnnJKsGuDS+Ow0BmCHoPTb1B9gmL9QoF1E1h9YzXjz4wnT9I8bKi9wezBKJk3zO68cEAzAhYxLnwPw4q6kDwndD+rWazWpFg6YVhnWx2kxdTfi/1Ou/zt9HP/w2sdS2lRKV5K3eJ5ipz6yRrZKigklIJaP1cY6ZvaYr4v3lF9+lE+hkV8Xb5FZUNVNlXB/70/S6supXhq5QveVx8HUmvmMble+4VhbsSxs1XksUXMG4oiEMJaETD52JBO6k4vCNK7R9NVkKe2VqGZRa/0cbn3od54+nkSi1i0zddWricaVTpUszgrjKpH4NZeWNsUUuaDriei1PvXyb/kDRap4qZiS90tJIydMEoZfRosPX6PkTuvUyxTEjZ30SaNu8nnDH0CF20sgoAaY2Oax22medyhafEMTGhUUP245PJ9ZSDoEZT8FWr8fMFQfQeERkHAjAQiD05ld4NWm+T7kHQ/imcfjx31dpAybsqfOvdqyVKeT5wItrZkXLSQ0ELFKPzXAVnmxl/VcIxt+PuKGvOGGYkK04KAIGBCAmIB3YSwhSlBwBwElDwU3H72lipTvUjoYMflEVW1cz+yJmHDxVCgkXZ2/tE8w3sGC68spEnOJgwtPVRze5IB6aOWVFf05btPnC24gxS314nU7SYhbx1GpLSKlTZWkmsXb6q9iVxJc5nVcSXzhlkdF8Y1JWAR40KqmybVT5Nqdw55CrHUS4etKTwNlQ85NoQdd3eQM0lOua6pvY191Nakj3gr6sETb4ibHNrtgpR5opZToUXhv/bzJjiUvb3LkTu1Oh/uVXBLVRXhEZ9pMv8k5x+8pmz25HIZnFgajdWenj055HdItQwm0vNKqXEHeRb0kRUdSlI+p7LyPRYxb6jau0KZWgTMMjb2DYGTs6BgU2iwQK1QLELPsqvLmHx+snwPmFV5FmXSarOIaRHBCif+T8BrEniOggKNoeGiKMkEhwbLpaP83vpRM2tNOUOBGtfTwBBKjz+ItE/lxKBKpE3sqIbar3SYZc5QPQqhUAsCaoyN3zdcYrP3I/pVyUn3Sjm0cBN8DsKqBjrdbXdBlnLa2BFaBYEfEPgY/hG7WHbY2hi+4KwI6s5ecH4ZlO1DQNme1N5am6BPQQwsMZBWeVv9VPU7Ly/8fusCERGkGjKEpK1byd9XC47cz9uQMA70KU+OVIZn4VJj3lDERAgLAoKA1RAQC+hW01XCUUHAOAJKHgoO33pOu6VnyZ06gZx6VLNr/1A4MQMKNoMG8zUzE6l48NHB7PLdRe+ivelYoKPm9iINdFh2ltDbHqyM/c+Hina7Rf0rk9G3fEN9DvXB46EHbfK2oX+J/mZ1WMm8YVbHhXFNCVjEuAj7BKOlHeqf4ffbkCCVpjFbuvJjj4/RxaOLfNpwZY2VFEpRKGqXQ4J0H+8enQXHpLrF8x/UTI1ameEt6s0+zkW/N3KKzNktipIk3o/TzRqu3TIkFnr5Mmb3DeLHsZM3CqRPom7q9n9HOefiHOZemku97PUY5TxKFQCDNl9m3Vk/2pXJzIg636+nq68hi5g39HVWtDMpAbOMjYenYElViJMI+vv8NN21SWEoNOb9zJsO+zoQ/jmcoaWG0iRXE4UahbjVENjUAa5uhsrDoVxfvdy++Pwibfe2lVPouldwp1rmanrJRdWoybyTnLkfwJ8189CpXNaomhv8u1nmDIO9FALmIKDG2JA2Pp65F8D0ZoWpWziddmFELiQmzghdTkIcDcokaue90GwFBKS5/dn7Z9wLusf9wPvcC7zH/aD78j9P3z8lqUNSeQNV3Wx1TXdwY2FleHwOGi1haOBFtvlsk8vMSJu/7aQSJD+4Pvr6cr9JUyLevSNx48ak/mvkl03JNaYf5bp/EIvbFqdyHsO/Cagxb1jBcBAuCgKCgAoExAK6ChCFCkHAkgkoeShYd+Yhg7ZcoWKuFCxtX1K7MO8fg2U1IW4y6OcDNjba2ZI2++5pi/dzbyaWn0j1LNU1tfVv5bP3eFPvVCPSxXolUrebjLr1GDrsd5genj3kFxqPxh76nSLVKDwl84ZGLgm1FkDAYsbFlLy6EhgdPSBDCQsgYx4X/N/502RXE958fEOL3C0Y7DQ4akc+voNVDcHvFDgkhrY7IY0GaSp/4smxOy/pvPIcwZ/CyZDUkQWti5MnTfQ5ie7z/B01Z+hSt49rUIDmJTNG3S8KWhx8eFBO25w7aW421tbVPVZ67b/2lM4rz8v949W/oqLT8xYzbyiFIuRVJ2CWsRERAVNyw7tn0GozZDeubqbqMBQofPnhJU12NuHFhxfUylqLsWXHKvqbVeCKEDUHgchMbi02QE79M8bNvDCTBZcXyCnct9bdGmX6XH1CW37iPsN3XKNIxsRs7eqsj4hBbcwyZxjkoWhsLgJqjI3S4w7iHxjClq5lKJpRw7KCH9/qUrkHPoQSnaDmZHNhE3atnICUUURaFP+yQB412x5lAAAgAElEQVSoWyR/EPSAD2Ef9IpOen+QFtJrZK0hf4fS5IoIh3HpITQY7+YraHvqT9nMyuorKZyy8A9NhgcGyovnnx48wLFYMTItXUKs2P/feP3byvPsvfaUEbXz0s45i8GuqzFvGGxUCAgCgoBVEhAL6FbZbcJpQUB/AkoeCqYcuM2Mg3do4ZSRsfUL6G/U0JbhoTAxK3wMgk4HIb3yGp4/cyGyXmhUD2yGhhFV+8crfiGd7wYex0pNusHeEDteVCLi9xhEIDQiFNeNrkj1jGdWmolLBhezRa9k3jCb08Kw5gQsZlwsqQ4PT4CJyn5oDtYIA6HhobTb247LLy+TL1k+VlRfEXWd20/vYXVjeHBcd/qy7XZIW8QI68pFbj4NovOK8zwMCMbR3pbJTQpRo0Aa5YrNrEFK3d5o3gkuPHxDuRzJ5RToWqVujwz18bvHVNtcTT69cabFGext9UjhHwWn9x/DKDLqAJ/CIvDoW57sKQ1PixhpwmLmDTOPDWH+WwJmGxu7+sC5JVCsHdSebtVdEx4Rzq8HfuX009NkS5SNNTXXENdeu4wXVg0rOjof9hHGpoWIMOhzDRKl1ztK6b2j5d8tuRFwA+e0zsx1nfvV/UpKjxv6+DH26dLpfR97HhSC0zhdGvdjAyuqnn3FbHOG3lRFQ3MRUDo2PoaFk3voXnnsnvvTleTx42gbiu9hWFFXZ6PNDshaQVt7QrvVEpBOk0unxiMXyf/97+fBz38Yl5SmPX2C9GRJlIXMiTKTJWEW+b8zJMjA1ZdX2X53O9IBDuleIF1S+3Lpy1E3e13KpyuvyvvEF+de3oFZxQm1c6RJgdL4vPGhYY6GjCgz4of+fw4Lw6/zr7w/cQK7tGnIsnEjdsmSfdV+zN/XWXj0Hh2cszCsdl6D+1jpvGGwQSEgCAgCVktALKBbbdcJxwUB/QgoeSjov/ESG89rXAcqMowNbeD6dqgwECr+oV9wRrSSHhCLryoup6w72PigKrvt9XLjX/Wumn4ayqJhvUjgoPwjt162RSOrIeB+1p0V11fgmtGVqRWnms1vJfOG2ZyOoYbnzJmDu7s7/v7+5MuXj2nTplGu3Pfr6V27do1hw4Zx/vx5Hjx4wNSpU+ndu7fe5CxmXGz5FS6vMyhdqd5BWknDcafHsebmGvnk2IbaG0gXP4pUk5+CYU0TuH8U4iSE1tsgfTGzRvsm+BPd11zgmM9L2Y/uFbPT1y0nNjbWW9d+/pG7jNtzkwRx7NjXp7wmNWD/22nSIofzOmfefnrLptqbVEvF2HbJGY7cfsHg6rn5tUI2o8eKxcwbRkcgBLUiYLaxcdcTVtaHeCng91tg6jqgKgKNPEXsaOfIuprryJpY/bTZKrorVKlN4OkVmFdWtylu0AOIZdj98+6buzTd1RSpJu4QpyE0y91M9vBzRAT+gwcTuH0HSVq1IvWfQ/T2vOn8k5y+F8CQGnn4pby649Fsc4be0YuG5iKgdGz4vnhHpclH5E2d1/+qqvemEUXx7uoL5xZDoozQ9QTEMX6zoiI/hLBFEHgf+l6Xbv0/adcfBj0kJDzkhz5Kp8YzJ8wsL5JL/5YXzBNmJl2CdFFmNHwT8oY99/ew3Wc7115d+2IjSZwk8ol06WS6dEJd8Wbgq1tgU3uWZ8jDJLv3JI6TmJ31dpJYyob2g+vZuPEELF9OLEdHMq9ZjUOePN+0XHnyPkO3X8MtbyoWtjH8EJbSecMiBo5wQhAQBExCQCygmwSzMCIImI+AkoeCVotOyx+2JzUuRKNi+u9oNyraC6the1fdabjOh41SoY9Q5Ektext7zrU6h00sbdPFyz5J9WbnlIagR2y0rUH/961Y+0spSmf7egelPv6LNtGbwK2AWzTa2Ug+SejZ2JMkDhqmj/sJSiXzRvTuIcuKbv369bRu3RppEd3Z2Zn58+ezaNEirl+/TsaM36aNPnv2LBs2bKBYsWL06dOHgQMHWucCuucY8JoIxdpD7WmW1Skm8Gbvvb309+ovW5pVaRYVMkRxaiU0BNY2A99DEDs+tN4KGTQsy2IAg7DwCCbsvSmfHpCuyrlTMrVZYRJa4QYzn+dvqTHjmHxqe2LDgjQpkcEAEsqaSrWPzz49y2jn0fLJETWuyFS8TlmSsv7X0l9Uvj91GsfChbBxcNDLjLif6IXJIhqZckOWFLDZxoaU+co9G4QEQvs9kKmMRfA31Imjj47S9WBXWczUZakM9VW014jApfWwtTNkLA0d9hplZNX1VUw4OwEHWwd5Q5608PJ05EjerFv/RV9a94kkql1bL/2RCxqFMiRmezd107ibbc7QK3LRyJwElI4NacOgtHEwV6oE8gZIk1xSWaW5peHNwxj7TmMSzhZoRDrMI53C9n7mzfln57nw/ALPgp/90FPp21DGBBn/v0D+r8XyRNIGKhUun9c+7Li7g12+u+SSMJFXjiQ55IV0qWZ6csfkxlnyGMnTk9OpmzEjwYQzssxIGuRo8ENdbzZvxn+ILs17uunTSVi1ynfbHrr1nPZLz5I7dQL29jb871bpvGEcDCElCAgC1khALKBbY68JnwUBAwgoeSioPPkwd1+8Z00nJ8pkN/JhSV9f3z6DyTl1rX+/DQlS6StpULsNtzYw6tQo+eFzZ/2dBska3XhHT/BeDkky0yPxLHbeCOKPGrnpXN74E11G+yIELZ6AVMdSSqc4qOQgWuZpaRZ/lcwbZnE4hhp1cnKiaNGizJ079wuBPHnyUK9ePcaNG/dTKpkzZ5YXz63yBLr3StjRHbJV0i0Gx6DLN9CX5ruaExwWTKcCnehVtNfPo5fSu65rAT4eYB9PV/M30/8XQy0F3dYLjxi0+YpcNzxrinjyKYJsKeJbintR+iFtBGg47ySX/N7gkisFS9uVUH5aI0qr/28w4cwEVt1YRas8rRhYcqABkj9u6hcQTLmJh7C1iYX3n24kdLTj1aJFvJgylYQ1apB2krteMYr7iSrdobkSU2/IkgIy69jY+htcWgulukK1n98vNYdvhAH/d/403tWYwI+BNM3VlD9L6T40iyuGETgwDI5Ph+IdodYUo4KXFnI6H+jMaf/T5E+ajyk3i/Jm8VL5NHu8cmV573VUPgGYZcN64uTIEaWN529DKDX2IBGf4eiAimRIql5JAbPOGVFGLhqYk4DSsbHy1AOGbruKa56ULGpbwnSh3DsKy2vp7EnvNNK7jbiiHQEpC+bNVzflxfLzz8/LC+dBn4K+iTPyNLl0ijzyJLl0slzKNCYtopviCosI4+STk3KK90MPD/Ep4pNs1jaWLWXTlZU36lZIXyHq0mH/dnZ1Y35/c5798eNRKEUhufTYjw4yBXt786BtOwgNJXn37qTo3u2HYd998Y7Kk48QL7YtV0canjlC6bxhiv4QNgQBQcAyCIgFdMvoB+FFDCJgLac7pJSg+YbvI/hTOIf6uZAluQnqdc+vAP4Xoe4cKKL+wqH0kan21tq8/viaASUG0Dpva+1H3r9St9Pub2bfS437vlvULJiG2S2Kam9fWLA6AqtvrGb8mfHkSZpHPglijku8TJiDumE2P336RNy4cdm4cSP169f/ItyrVy8uXrzIkSNHfqpQnwX0jx8/Iv0TeUnjIkOGDAQGBpIwYULDHFazte8RWFEHEmeEnhetOv2uIViCQ4NpubulfGKhZOqSzHeb//OPKWGfYH0ruLMP7Byh1SbIXNYQkyZte+VRIJ1XnsM/MEROgT69eWEq5dZmM53agc057MPEvbdI4GDH/j7lSZPIUW0TP9UnpV788/ifFE9VnKXVlqpmu8rUI9x+9j/2zgM6qqKL479sem+kQei99450QYqCKE2a/VOxoIjYBRUQVBAVpao0pYk0qYJI770TSGjpvSeb3Xxn5pFQQsjuZpNs4M05ezabnblz5z+z896be+//JvPDU3VosvQnEtetk7I9Bg3E/+OPsbIp+DBPvZ6YbTqKVFBxO2SJwZTo2jj3t+Jc5F4eRp00mvq6SCejAOFanZYRG0dwMvokdb3ryoNoO2u7klRJ7bukEFj0NARtgV7fQvMXTdZC5Nftt7ofXf9LYPB/einH/4vP8ejXj2svvSxz0NpVrkyl5cuxdin4TGDw7H3svRxT6BQgdw+oRPcMk9FVGxYHAoVdG5PWn2XWjss817YSnz1etzhUvtXH+jFwYDa4BcJre8GhBJ+xinfkD2xv6Vnp8hotDeYRhzkedZy0rLQ7xitSrwhjclO/pvJV06umTM1lSUWcn24K2SQp3k9En8hVTUS996jUg77V+lLHu06BDrW7v6/NK+42aLBi2ePL8003pQ0NJbj/AHQxMbh260a576ZhpcmfMTRdq6PWJwr7yuGPu+LtYm8UfIXdN4zqTK2sIqAiUKoRUA3opXr6VOVLGwKlKbojIVVLw883S4jPffEYDrbWRQ/3vxPhv8lQpy8MmG/2/oRRUhgnq7pXZfkTywvMCVRoBW6jbqfF/6DnFHZejGLYvANU8HJix3udCt2FKuDBQyAuPY7OyzsjvH/Nmc/WGKTUhwlj0CqZuqGhoZQrV47du3fTps0t+tmJEycyf/58zp8/f1/FDDGgjxs3jvHjx+eRU+IG9JQYmFYHstKh9evQfULJTEIx9iqc2j7Y9QF/X/4bH0cf6VxzXxo9QVG8bASc/xtsHOCZZVClAKr3YhxPfl1FJWXw2uLDHAyJk6lc3+1Wk9c6Vi3wYKYkVb8QkURvQd2u0xdPypt7DDYn/YerrSu7B+82G16TNpxlxcajTD25GN/Qy2Bjg/9HH+I5eLDBkKvXE4OhKrGKxeGQJQZnUU5Z2jSYUgW0qUrqKJFCqpSUSfsn8fu53+VBu7gWiMg0tTykCHxbG5JC4flNUKFVoUDY+d0HlJm5SsrQvzGCuiPfl39nxcYS3O8pssLDcX3sMcpNm1rgNWbRvit8vOoUDQLdWfO6+Rz31OtJoab4gW5c2LXx6qLDbDgVzqe96/B8u8rFi1VmCvzcBuJCoMlweOKH4u1f7a3QCCRlJnEs8hhHIhVK9lPRpxBR57cXcc1u4tsk12Bey7tW0Z9HFnpktwQIFrQ1QWtYe2ktkWmRuV+Is1URld67Sm98nHzy9JiRGEq/ZZ25amvL0BoDGdv63ow5+rQ0QoYMIePMWexr1ZJ5zzVOBTOYCMaT8MR0Vo1sS6Py+edUvxcUhd03zAivKkpFQEXAwhFQDegWPkGqeg8WAqUpuuNsWCI9pu/E08mWo5/eO+eM2Wfn+iGY2wXs3eC9y2Bta7YuLsZdpP/a/uiydcx+dDatyxYDhe3at+Dwb5K6nVf3gJ0ztzsmHP3kUTyd1YgRs03yAyTo/bUjyfxnO971mvLBiLlo7Ip3nagPE5a/mHIM6Hv27KF161v72YQJE1i4cCHnzp277yAMMaBblLHj7tGcXAF/vqD8t9dUaH7zb8ufOpM0zEk/Iujz5nabSzP/ZvnLEcbzFc/D2TVgbQ/PLClVlJAih/j4tadZvP+qMr31A/i6fwOc7AqOdjYJ3EI0EtTt/X7ew4nrCXSu5cu8Ec0KNCwUort8m4qI1Ja/t5SHdRuf2mg2g9qhDTtJ/+BdvNMT0Xh4EPjddzi3amnUENTriVFwlUjl4nDIEgOzOKesZcPhzGp4ZDR0+bREsDe2043BGxmzY4xsNqPLDNoHGp/z09g+1foWikBaHEyupCj3/lVwMD0PbvzKvwj78EMpalk7DYd6VZHOGSJCUpTUo0e5Mmw4ZGXh98H7eI0YcV9QopMzaDHhH0njvmNMJyp4F2wEMQRl9XpiCEoPZ53Cro3eP+zk1I1E5g5vRtc6JcB+FLIbfuupTN6QP6F614dzIkvJqGPTY3PzlwuD+fm484h0GLcX4fAsIsub+ClG82oe1fKlLS8lw5Zq6vQ6mfJj1aVVbLu6jQydwlYnKNnblG0jjemdynfCXjyDAj//O5afrq7HRw9rhuzFxS5vii7hKH7jnXdI2rARay8vKi9fhm05w5wD+8/cIx2vvx/cmCcaljUKysLuG0Z1plZWEVARKNUIqAb0Uj19qvKlCYHSFt2x7VwEz/92iDoBbqx/65HigVqvg2+qQ2oMgu7cXFSz4obspc0vsT98P10rdGVap2lFP55L22DhTVrlu8bS8et/CYlJZcHzLWhfI6+XZtErp/ZgyQgI79vzg/vDuUtSTb2jHW4tWuPUuhXOrVvL/IP3o7Iyx9jUhwlzoFi0MorrmnL7KCxuXfw3Bf6dAFbWMGQZVHswD5tOx5xm2Pph0jj6TtN3eK7ec/kvLl0WrHwJTq8EQek76Heo/mjRLsYikv77/qt8tuYUWl02tfxdZV50c+ZSNYfaM/4NkmlZ3Bxs2PJOB/zcHMwh1iQZA9YO4GzsWb7r+B1dKnYxScbtjRJWrybsk0/Jzswk2M0fv+nf07R1faPlWty+YfQIHvwGxeGQJVC0OKesHEesMjXg9YMWP9HBCcEMWjeI1KxUXqz/Im81ecvidVYVLEIEcgxuIg3B26dM7ihx4yZpuECvx3noIJ6tvp2o9GgG1xrMhy0Vo7oosQsXETFhgmQiqbhgPk5N7p+KbMjcfewOimHsY7V4tWNVk/Wz6PtQs4xKFWIOBAp7r9Fg3CYS07PYNKo9Nf1dzaGS8TI2vA/7fwbXsgqVu6Nx0bTGd6i2MBSBsOQwmbs8h5JdXI/vLoEugbnR5cJgXt61fIk41Ro6JnPUE5H3ORTvx6KO5Yp0tXOVFO/CoP7ef6PJzNbxtW1FHntGSQV1d4n++Weipn8PtrZU/PUXnJrdx1H8rsbvLDvGyiM3GNO9JiM7VTNqWIXdN4zqTK2sIqAiUKoRUA3opXr6VOVLEwKlLbpj8f4rfPTXKbrW9mXuiObFB/XK/8GJJdD2LXj0c7P0u+XKFt7Z/o70glzdd7XZIrPyVe4O6vaXoefXd1R944+jrD0eyrvdavB65+pmGaMq5MFAIFuv58Y7o0nauJEsRztSycTtznRZ0itXRAA6tVIM6nbly5t98OrDhNkhLRKBgtWkadOm/PTTT7ny69SpQ58+fZg0adJ9+zQkAv1uARa3LrKzYdWrcPwPsHOFFzaBXzHnLSySmb0lVOSeG7huIDeSb0hv/umdpud/GCOc0P76H5xcDhpbGLgIaj5WxBoWrfhDIbG8sugIIppNMOLMeKYJbaqVKdpODZR+LjyRx3/YJQ38Uwc0pF+TQANbFk21T3Z/wqqgVbzS8BVGNhppcifZOh2RU6cSO+8XKSO4ZlNGV3uSZx+tKw0hxhaL2zeMHcBDUL8kHLIErCW+NsT9+tdVQZcJIw+AT02Lne1UbSpD1g8hKD6I5v7NJZuWjcbyWDksFsAHUbEDc2D9u1C9u+JEaEJJ3rmTa6+NBK0Wj/5P4//55+wJ3cMr/7wipc3sOpO25drKv4VDeujod0lcvx4bX18q/7USG2/vfHsVTnAf/nWSeuXcWPeGeZzxS3zPMAFjtUnxIFCYtZGQpqXheCV14enx3XG2L6G9NTMVZraF2MvQaCj0nVE84Km95EFAPH/9c+WfXIN5aEponjoiojwnf7mgZvdzLgHmAguau5CEENZcWiNfEakRd2jWKi2N2bVewqrj2DwaJ27Zwo033pT/9//iczz79zdqVNO2XGD61osMal6er55qYFTbwuwbRnWkVlYRUBEo9QioBvRSP4XqAEoLAqUtuuObTef58d8ghrWqyBd96xUfzDnRID61YeS+QveblpVGn1V9CEsJK/ShssHK3IO6/fa2c3de5su/z9Ktjh+zhxvuXWlw/2rFUotA1A8/Ej1jhvS+DZw3h1cip5N4+gS9YsvTMzaQ1EOHyU6706Iu6K1kdHqr1tKwblOm8MYl9WGidCyhpUuXMmzYMGbOnClp3GfPns2cOXM4ffo0FStWZPjw4TJPeo4xXRhJzpw5IwfXs2dPhgwZIl8uLi5Uq1awx7ZFrousTIXt48ouEFFYL24F1wfjAENQAb657U3+u/4fIqph6eNLZc7bexZhPF89UnEmEEaV/vOhdu/SsZAL0DIsIY3/LTwsadKtNVZ81LM2z7WtVKJRHVqdnid/2i3pPrvW9mPO8KYlqo+AcPHZxXx14Cs6lu/ID51Ny5+pS0rixujRpOzYKWfF+9VX2PtIP95adkKyAGwcZTxdtEXuGw/EL8O8gyhuhyyhvUWsjcX94eJm6PwxtFeo0S2tCMPlR7s+Yu3ltZRxLMPyx5fLd7U85AjkPG+2ewe6fmY0GKkHD3L1pZfJTk/HrWcPyn79NVbW1lLOhH0TWHJ+CYKC+M8n/sTTwVP+X5+SQnD/AWReviwdeSvMm5vb5m4FYgSN+8St6PTZbH+3I5XKOBut490NLGLPKPQoVAFFgUBh1sapGwn0/mEXZVzsOPRxCbM2Xd0Hvwjn12x4ZjnUKKZUikUxKaVQ5rXEayw8u1A6pIpzxJwiUmjV9qqdS8kuDOYeDipDwL2mWFC8Hwg/IA3pwgnBJiud32+EUvmphVDrZpqCmw3Tz18gZPBgslNT8Rw6FP+PPzJ61fx5+Dqjlx+nbTVvFr/Yyqj2hdk3jOpIrawioCJQ6hFQDeilfgrVAZQWBEpbdEdhqHAKNSepsUo0iMghNOokeFQolLifj/3MT8d/wt/ZnzV91+TmciuU0Ps1vp26fcQ6qJzX437/5RgGzt6Hv5sD+z4sPM1qkY1FFVysCCT8/beM7BAlYOJEPPo9yZXEKzy95mnSdel80OIDBld9mrQTJ0jZu4+UfftIO35c5iO8vQiK9xy6d6fmzbF2yZtnqqCBqQ8TBSFkOd+L6PMpU6YQFhZGvXr1mDZtGu3bK0aujh07IiLNf/vtN/k5JCSEypUr51G+Q4cObN++vcBBWey6ENeNeY9CTBCUbaKkALEzT77NAkEpwgpzT85l+pHp2GnsWNRzEbW9a9+7N70e1r4BRxcpdPb9f4U6fYpQs+IXna7V8eHKk6w8ekN2/lSTQCY8WQ8HW+Wwv7jL91svMnXLBdwdbdnydnt8S5C6PWfsglby2Y3PEuAcwOanlUgqY0pGcDDXXxtJZnAwVg4OlJ04AbeePYlPzaTJF1tkLttdYzsR6Gncb8ti9w1jwHkI6ha3Q5aA1CLWxpEFsOYNCGgI/9thkTO94sIKxu8dL/OLzu02V0agq0VFgLmPwvUD8NQ8qP+0UYCknTzF1WeflQZxl44dCfzhe6xsbXNlCMORSAsSkhiCr5OvpHLvUkF5Zs0ICiJ4wEBp8PD+3//wfXtUvn0Pm7efnRejTaLWvZdQi9gzjEJarVxcCJiyNoRzkpWVFRtOhvHq4iM0Ku/BqpEK40KJlk0fwd4fwTXgJpW74sCilqJD4FjkMRacWSANvtnCeQGo7lldsn819W1KQ9+GONsW3gmo6EZgmZJT0+PJ+roabjotjDoFHreYE7NiYwnpPwDtjRvy7KrCnDlY2RjP/nAgOJYBs/ZS3suRne91NgoIU/YNozpQK6sIqAg8MAioBvQHZirVgZQGBEpTdMfg2fvYezmGaQMb8mTjYqYlFV63V/dCr6nQ/AWTpzY0OZQnVj1Bhi6Dbzp8Q/dK3U2WZVBDQQX5cxtIuAYt8lK358hIycii3rhNCPbhAx92sYiDd4PGp1YqMgSEUfzKsOFkZ2Tg9fzz+L13Kwrq97O/M+nAJBysHWTUUSX3Srl6iIOv1MOHcw3qGWfP3qmjtTWO9evLhxK3Hj1wqFHDoDGoDxMGwfTQVbLodRFzCeZ2hbRYqNUbBiwEjabUztHB8IO8uPlFRBT6uNbjeKrGU/cei8h5vn40HP4NrDTw1Fyol0/dUouGorg46PxldwgT15+VEW0Ny3swa2hT/N2LN+/4mdBE+sxQqNunD2pEn0blLAJZkYewzR9tpC47B+40KjImeddumQNXn5iIjb8/gTN+xLHurXQIA2bu5UBILF/0qcuw1reuQYYM3KL3DUMG8BDVKU6HLAGrRayNlGj4prriuPvWCfCsaFEzfjbmLEPXDyVTn8moJqN4ob7pz0UWNTBVGdMREA+QQVth2XDQpsCre8GvjsHy0i9c4Oqw4egSEnBq2ZLys2aicch7Hb0Qd4FR/47iWtI1KVsYkoQhXTil3+70G/jzT7h26nTP/pccuMr7K09SJ8CN9W8VnsbdIvYMg5FWKxYnAsauDZHib+n5pUx+ZDJ/Hoxn4vpzPNGwLN8Pblycat+7L20azGynOAY3HAxPzix5nR5ADUSk9L/X/mX+6fncnr9bpK14tu6ztPRvWeLsUqUe9rDjMKs9OLjD2CtgZaU802VmcvX5F0g9dAjbChWovGwp1h6mRfQLprLWk7ZJlrLzXzyGjbXhz//G7hulfj7UAagIqAiYjIBqQDcZOrWhioDxCJSm6I5O32wnODqFJS+3olWV/PObGY+CAS12fgtbP4caj8EzSw1ocO8qIu+5eDgSkRrzus0r+hvgHCo9j4rw6h6wzz/y99Gp/3ExMpm5w5vRtc6DQTds8kQ95A214eEE9++PLipaiQKZ8eMddIjCgPbylpfZH7afBmUaML/H/HzzXgpP3tT9+3MN6tqrV3PRNSanlPow8ZAvynyGb/Hr4speWPCEks+2zRvQ7ctSOZFRqVH0X9ufmPQYnqj6BF+2/TLv9UscoJ/fAP98BtEXACvoNxsaDCiVYzZG6d1B0Yz8/QjxqVrKuNgza1gTmlb0MkaEyXUFdXufH3dzJixRpmGZNazkqdtvH0yPP3twPfm6jFJtGdCywHEKp4S4BQuImDwF9HocGzeWkYh3pwL5efslJm88R8ea3gztnEw5l3L5MyLc1avF7xsFoqRWKCoELGZt/NpLSQPSfSK0HllUwzVabmJmIgPXDpS/6Y6BHZneebqMQlfLQ4qAYJs5vx52fA1hxxQQXPzg7dNgfSt6/H7oZF65QsjQofKZw6FhA6erqvwAACAASURBVCrM+wVrl/yjKtOz0pl9Yja/nvqVrOwsnGyceLPJmwyqOYioCZOIW7wYjZsblVf+iV1gXof7uJRMmk34Rzq9/ftuRyoXksbdYvaMh3QJWvKwjVkbIrii5589iUyLxNfRlxqaV9lwyJGRnaoypnstyxjmtQPwS3fFuWvwEqjZwzL0egC0SNWmsvrSahaeWZjrIGSrsaVXlV4MrzNcRp6rxUwIHF0Mq1+DSo/As+tyhYaNG0f8kqVonJ2ptHQJ9gakkstPI70+m1qfbCRTp2fne50o72U4U5Yx+4aZEFHFqAioCJRSBFQDeimdOFXt0otAaYjuEAeq4iYkI0vPjjGdqOBt+E2IWWYm/KTidWvjCGNDwNb46DJhbBTRe+KgSUTt1vA0LPLWZP0v/QsL+yrN86Fuv1326GXH+fPIdd7sXI13utU0uVu1YelGQJ+aypWhw0g/cwZBvV7xjz/ueZAVnhJOv9X9SNIm8WbjN3mpwUsGDVxQYgmqd0H57jNqFHaBhkVKqg8TBsH70FUqFevixDJYefP30fs7aPZcqZqnLH2WvHYJOm5xgLO45+K8qUduHIbNnyoGH1EcvaDXNw9s5Pm9JvBqTCovLzzEufAkbK2t+LxPPQa3KFzKF0MWynf/XOC7fy7i6WTL5rc74ONqb0izYquT4zj4brN3GVF3xH371WdmEj5uPAkrV8p67v364T/uMzR2dnnanQqN5skFP2DnvQONXbSMRPy+8/cGjatU7BsGjUStZG4ELGZt7JsJG8dChTbw/AZzD9MkeeJZ7K1/35LRccJhZWnvpbjbu5skS21UyhHQ6+D0X7DjG4i6yTRl6wRNn1OcBd0CDBqgcNi98swQtKGh2NeoQcUF8w2O+LsYd5HP936eG6VZz7senzb/EIc3vyT9+Akc6tSh4h+/o7HPe00c/ssBdlyIMguNu8XsGQYhrlYqTgSMXRuX4i8h7pkuJ1yGbGvSIx/ji46vMqiFBbGQbP4E9nyvOMq8tg+cisdZtDjnrTj7ik6LRjD7LbuwjISMBNm1m50bA2sOZHCtwfg4+RSnOg9HXxs/gH0/QctXocdXcsxxf/xB+PjPZTR64E8z8mUwMQagzt9s53J0Cr+/2JI21coY3NTYfcNgwWpFFQEVgQcOAdWA/sBNqTogFYE7ETDlpiA2Rcl3Kcr5Lx/D3qaYc4yKyLqpdSApFIb+CdW6GjWtwgAhoveC4oPkzbCgmyvScjt1e/OXFENGAWX+nhA+W3OajjV9+O25FgVVV79/ABHI1uu5MeptkjZvxtrLi0rLlt3XwL3m0ho+2vWRjD5f0msJNb2KzvHClH3jAZwidUh3IVBq1sX2ybB9opIPfMhyqKbk7SwNZerhqTLSS+TZE7/z21M2EHdFYWc5tUIZio0DtHoV2r2tUOM9ZEWkQxmz4jjrT4bLkQ9rVZFPetfBzqZoIjRPhybI6PMsfbak+BRUn5ZWZh2fxY/HfuTxKo8z8ZGJ+aqXFRXF9TfeJO3YMZnqwO/9sXgOG5aH6UDQwguK08VnFyMOHkVxtHZhWN1neL3R6wYx+5SafcPSJvMh0Mdi1kbCdZgmUhZYwbsXwMW3xNH/7dRvfHv4W0RU3MIeC6lb5lZKhRJXTlWgeBDIyoQTS2HXVIi9rPRp7wYtXoJWr4Gz4UaCrJgY6bCbGRyMXcWKVFy0EBsf44xFghFrxYUVfHf4O+nQa21lzUt+T9L1sw3o4xPw6N+fgC8+z4PN0oNXGfvnSWoHuLGhkDTuFrNnFM8KUHsxAgFT1oaIRB63ZxwbQhTHqSbeHZjR7Stc7PJnETRCpcJX1abDrEcUpqn6A+CpOYWX+RBKCIoLkvnN111eh1avlQgEugQyrM4w+lbri5NwSFJL0SDwW28I2Ql9foLGQ0jZt5+rL7wAOh0+o9+hzEuGBYUUpNyIXw7w34UoJj9Vn4HNDXeoNmXfKEgX9XsVARWBBxMB1YD+YM6rOioVgVwETLkpOHUjgd4/7KKMix2HPn60ZNBc8yYcmQ8t/gc9pxilgzjo/erAV3jYe7DuyXVFH7GxdhQc/hUMoG7PGcjRq3E8+dMevJztOPxxV4MOoY0CQa1s8QhETp9OzM8zsbK1pcJvv+LUtOl9dRbRSCIX4bZr22RkqjCu2VnnjRQ0x8BN2TfM0a8qw7IRKDXrQjhh/fUKnFiiHDY/v8mo/KAlNQvbrm6TEYeifNvhW7pV6qaokhanRJ4dmK3Q0wsjT4OB0Plj8ChfUupaRL9iX5zxbxDfbrmAmPYWlbzo16Qcrg62uDrY4OJgg5uDjfzsYm+Dk521SdfbzCw9T/y4S0a896jnz09Dmpgkp6hB++/af7y+7XWqeVTjrz5/3bO7tNOnuT7ydbLCwyX1brmpU3Fp1/aOuhEpEdJoLqJ0UkSOXWE4t/IiLrw1T1brx5R+hjv+lZp9o6gnR5WfBwGLWhuzO0HoEbAA5pIjEUd4ftPz6LJ1fNLqEwbUfPBTc6g/j9sQEPmPjy6CXd9B4nXlC8E0I4zmwnjuaFyeWF1iIldGPEvG2bPYBARQafEibMua7gAm0syI5+zNVzZL1TqFe/HKb1FYZWcTMGkSHk/eZGS7OSRB4958wj/S+Wzr6A5U9THdOGlRe4a6aC0KAVPXhk6np+7UT7HxWYeVlY5KbpX4tuO3Rc9eaCh61w/BvEcVKveBi6F2b0NbPtT1xPPBgfAD/Hb6N3bduMnYBTT0aSgZmjqX74y1ppiDhB62Gdn3M4gIdLJlesvMTDdCnu6PLiEBt969Kfv1FLM9S3286iSL9l01Og2DqfvGwzaV6nhVBFQEEPe54rhJLSoCKgIPKgKm3BRsORPBSwsOUb+cO2vfaGcyNIKeWp+ejo2XCXRTZ9fB0iHgWQnePCYpfgwpsemx9P6rNyJqqlgOnYykbs8ZQ7pWR73PNsnDhF1jOxHoqXq+GjK/D0qdhLXrCB0zRg7n7sOmLJ2e6Vsv8tueEES+XVuNBmtrK2zEu20yab6TydYk45z2KJ4ZT2KjscLG2krWE+/WGitsrTXy/+JdfBb/H9KygsF5gk3ZNx6UuVHHkT8CpWpdZGXAwifhym5wrwAvbbWIqML80L2WdE3muhVRXUNrD2Vsi7EgxnBgjpLvND1eaVq5A3T7AgIaqkv1NgS2no3grSXHSM7Iui8uYj8UhnTxEgZ2N2FYlwZ25eVirxjehdFd/v/m581nIpi3K1g6vW1+u73MvW6JRaT7eHTFozIycP+Q/dhb36ln4vr1hH74Ednp6dhVqUL5n2ZgV6lS7lAux1+Wh41rL69FsPmIIozxz9V7DqfMprw4/xj+bg7s/aCzwYdepWrfsMRJfYB1sqi1sXMqbB0PVbvAMCWtQUkUwfQwYO0AotKiZD7WSe0mGfxbKwl91T7NiEBGMhz6Bfb8ACmRimBB3Sxo2gVdu73xhmd9SgpXX3hRso1YlylDpUUL79jzC6P9jus7+HLfl4SlhPHULj0Dd+rB3o7Ky5bhUPNOlqyc6MDRj9bgjS6m5xe2qD2jMOCpbc2OgKlrIywhjdaTtmHrdJVKtVcSnhqOg7UDn7b+lMerPm52PU0S+M842DUNnH1h5H6Vyv0+IIoI800hm5h/ej7nYs/JmlZY0aVCF2k4b+TbyKQpUBsZgYBeD5s/hn0zlEYt/oeu/WdcGTyIjItBONSvT8WFC9A4GJ+mMz8tZu+4xMT15yQ7mGAJM7SYum8YKl+tpyKgIvDgIKAa0B+cuVRHoiJwTwRMuSlYuDeET1afplsdP2YPb2YSsllxcYQMGoT2ylUcGzfGrUcPXLt3x9bPQFpEcYgwuRIImqXXD0OZagbpMX7veEkvV8urlozQLVLP0tRYmNUeEq6BgdTttw+i1/c7OR2aKCPZetY3LH+dQSColSwagbTjx7kybDjZmZl4v/QivqNH5+obmZjOm0uOsu9ybL5jsHE9hWPgIrKzrUi98gr6NMNytU0f1Ig+jdQc6Ba9OCxcOVOuJyU6JLFHz+0KsZegXFMYsQ7sLM9ZKUOXwbD1wzgbe5ZGPo34pfs8bM+sUeja468oEPrWgUc/V1KaGOhQVqLYl0DnQZHJzN15mcikDJLTs0hM15KUniWN6knpWvRmcBme8UwTejWw3Ou18IvusLQDcRlxLOm9hLreCu2zSBkS9f33xMycJT87d2hPuW++wdrVVX4+FnmMX079IvMt55Qmvk14of4LtCvXDo2VBuH41/jzLaRpdfz9ZjvqljUsbUCp2zdKYO0+rF1a1NqIDoIfm4LGBsZcMjrK1xxzqNPr+N+W/7E/fD9V3KvwR68/VGpZcwBr6TLS4hWGGZEnVjDOiOJeHtq+BY2Hga1pRgZ9RgbXXnmF1L370Li7y5zndxu2CwuNoMCecWwGi88sZMzSLJpcziYjwIu6q9dj63brGrHs0DXeW3GCWv6ubBzV3uRuLWrPMHkUasOiQMDUtXEgOJYBs/ZSwcuJ1W824v2d77MndI9UsX+N/tKh9W5nRGP0z9bpiPnlF+IWLca5XVu8n38e+6pVjRGhONSKM6eoc1DvaXh6nnHtH4LaInjmzwt/sujsIiJSI+SIHW0c6VO1j6Rqr+BmOK33QwBX0Q1RpB3462U4s1rpo+t4slu/IdNGJW/bJlOHVFqxHFs/P7PqsOFkGK8uPkKj8h6sGnknq9b9OjJ13zCr8qowFQEVgVKBgGpALxXTpCqpImA6AqbcFEzeeI6ft1/i2TaVGPeE8Tn3srVa6e2eeuDAnYpbWUmaateePXDr1g2bMgXkblvQBy5vh+4TofXIAkE4E3OGQesGkU028x+bTxO/JgW2MbnC+Y2w9k1IjjCKuv32/j5YeYI/DlzjlQ5Veb9HLZNVURuWHgS0YWEE9x+ALjoal86dCfzxB6w0Sr7ePUHRvLnkGNHJGTjbWfPlk/VoVtFLshSIqHTlPRutXs+sMxPYE7GJMvZlea/+LKxxkN+LiHXdbfXE31qd0r5LbV+q+SrGkoKKKftGQTLV70s/Apa0LoSTlsbRsWDv9ZhLMLeLcihd+wnoP1/mfLakIvIv/nnxTzztPVnW+D38//tWoRIWxcUfOn8EjYaASjVo8rQJw7Iw/AqDujCmK+/KKzlD+Zwo/r75vWJ0v1k3IwuRb71HvQCT7olMVtrEhi9tfol9YfsY32Y8/ar3Q5ecQujYsSRv3Soler/4Aj5vv022xoqd13dKw/mRSGW9iSidTuU7yYjze0XpCHYiwVJkTBShJe0bJkKqNisiBCxubcxoBVFnlfRRwmHJRMOlqXD9cPQHZp+YLQ/9hRNwFY8qpopS25UGBFKiYe8MhWkmM0nR2KsqPPKOkqbF2tbkUYhn8euj3pb7vsbJiQq//oJjw6JjrhHP4FP++YTnvz2DTyKcr+9BvdkLqeapOMAnpGppNmGLfCb55532Bj+P3A2Axe0ZJs+Q2tDcCJi6NlYcvs67y4/Ttpo3i19shXBkmnViFjOPz5RnSnW86zC141TKuRjmhH77uMRzf+jY9/Ocibl06YL3Cy/g1MTwSFluHIa5gspdBwMWQJ0+5oawVMoLSw6TRnPxHJWTcsjbwZtnaj/DgBoD8HAwLuVFqQTBUpQWjut/DIZr+0CkGez7M9R/mshp3xEzaxZWdnYy8rworkWmpiA1dd+wFMhVPVQEVASKDwHVgF58WKs9qQiUCAKm3BSMWnKUVcdCpVFXGHeNLeGff0Hc77/LB/bAn2aQceECies3SPq43KLR4NSihRKZ3u1RbDw983YjDhU2fQhVOsLwm16M+SgjDseHbxjOsahj9Kzck8ntJxurtmH1RZSAyOVz/Helfpka8PSv4F/PsPa31frjwFU+WHmSNlW9+f2lVka3VxuULgQEjWLIkKFknDuHfc2aVFy8GGsXZ/T6bH78N4jv/rkgIyRFdMaMIU3umyMwMTORfqv7SQ/rgTUH8nGrj80Khin7hlkVUIVZJAKWsC5EJG3sb/OJmjYNjYc7AV98gWvHjvfHK2Q3CIcswWjSdhQ8Ot5i8F0dtJqPd38sDZczbSrS5uIORTc7FyX6TDiP2TlbjL6qIpaPwLeHvpU07INrDebdcsO5/uprZFy8KA+uAr78AqdePVgfvF7WCYoPkgOy1dhKqlJBbykiX/MrOfctjSt48NdrhkV4WMK+Yfmz9nBqaHFrY/9s2KCk15GGzN5TlWeQYijCmeW1ra/Jnr565CtJ366WBxSBxFCFpv3Qr5CVpgxSsMw8MhrqPlloZzlxnxT63lgS162T+375OXNwbtmiyMEUaT9Wr/2W6h/+hq0OFnexwe/Fl3m5wcsygve5Xw/w7/ko3u5ag7e6mkbjbnF7RpGjqnZgKAKmro1pWy7I1GmDmpfnq6ca5HYn8maLaPSEjATc7NyY9Mgk2gcazp6QuHEjYZ9+hj4xESsnJ3xee5XUY8dI3roNbmZRdWzSBO8XX8SlY4dch/r7jnfrF7DzG3Aqo1C5OxcQjGIoeKWw3umY05KmfXPIZnTCqQCo6l5V3sf2rNKzUKwBpRCOklc5NhgWPw0xQeDgDoN+h0rtSFi7ltAx70n9yk7+Cvc+ReP4kZCmpeH4zbKf0+O742xvYxAmpu4bBglXK6kIqAg8UAioBvQHajrVwagI5EXAlJsCQWMl6KyMoXzO6Tlu2TLCP/1MUswGzvgR186dc5XShoaSuHETiRs2kH7y5C1lra1xbtUKt549cO3SBWuPm56iuXSKtjA25L6539ZdXscHOz+QURtr+67Fz9m8tEBS2Yv/wJo3IClUxmnR5nXo9BHYOpq09HI8JUW+1eOfdkOjMSzPu0mdleJGIlowLCFdvsIT0uR7RGI67o52tKjsKfN6uzuaHqVRHNCIw6zrb75J8j9bsfb2pvKypdiWK0dMcgZvLzvOjgtRUo0BzQIZ/0Q9HO2sC1Rrb+heXt7ysqw3q+ss2pRrU2AbQyuYsm8YKlutV3oRKOl1ob1xg9D3PyD14ME7QPQYMAC/se+hcb6Pofn4UoVSTpTHv4emI0p8Ii7EXWDI38+QrsvgtbhEXo2PBytrRbeOH1h0zvYSB09VIF8Ecu6H+iRWZfjiCHTx8ZIy0fu7r1nrcI6FZxbm0lu62LrQv2Z/htYeiq9TwSl2RJqRBXuvSEaTxhXu4fh4D61Ket9Ql4rlImBxa0MYNQTt6IaxkByuAFd/AHSfUKT7sYig67+uvzTUFIVTpOWugIdMs7gQ2PUdHFsMukxl8GWbQPt3oUYPs7DjCIfy8PHjiV+yFGxsCPzhe1w7dSpWoEN+m0naV9PRWcHnz1iTWq8Sn7T6hGuh5WSkbw0/Fza/3cEknSxuzzBpFGqjokDA1LXxztJjrDx6gzHdazKy050pA8XePPq/0ZyMVs6tXqr/EiMbjbxvikDB+hMxcSIJK1fKNg4NGlDu6ynYVVRSrmVcvkzsr7+SsGo1gilCFLuqVSW1u/vjvaXTS75FULnP7giRZxRnm/6/FQWUFitTn61HODYIB9CD4beeBVsGtGREnREy5ZCVmuaq+OdPsCP8PhBSopT0I0NWoPeoQtTUacT+pqxRrxeex2/MTQfFItJQGNCFIX3TqPbU9FdZF4sIZlWsisBDi4BqQH9op14d+MOCgCkPE+2n/MvV2FSWv9Ka5pW8DIYq9fBhrjz7HGi1+Ix6izKvvJJv28zr16UhPWnDRtLPnLlVz9YW5zatlcj0zp2x/rU9xAXDwMVQu/c95Qm6psf/epyotCjeavIWL9Z/0WCdDaqYngibP4IjC5TqXlUUSqIKhYsaF3Tb9T7bREaWnm2jO1DFx8UgdR6USuKQJzEti7BExSgeLozk8Tf/TswxmKfL/LX3K+I5qZa/Gy0qedKisjfNK3vi62pavsCiwjaXusrWlgoL5uPUuDGHQmJ5/fejhCem42Cr4Ys+9ejfrLxRKkzYN4El55dIw8fKJ1bibm9YTtqCOjFl3yhIpvp96UegpNaF2CsSVq8m4ssJ6JOTZSSH33tjyAwOIXb+fAmsbfnylP1qkkwTkm/5dxL895WS43bICqhavIfKt+uVnBLJoFV9uZKVRNvUNH6KiEJTs6fMFYdPjdK/WNQRlBgCQRcPsGLCs/Q6kI2NHmzq1GLba82ZH7UOkSNSFB9HH4bWGSrze7raGXbIZOqASmrfMFVftV3xIWCxa0Pc92/7UslLTbYSTSX25iYjzGLkvB1hrU7LiI0jpIGmrnddFvRYgJ2gPlXLg4NA1AXYNRVOLFPol0Wp2FaJOK/aWTqdm6OIe6XIb74hdt4vUma5b7/BrWdPc4g2SobQQ0bAr11LgouGd5+zIsHFiscq9mbV1iZotU5sfrs9NfyMv/ZY7J5hFEJq5aJAwNS10X/mHg6GxPH94MY80bBsHtUydZl8ffBr+bwtijDWTn5kMt6O3nnqph0/zo0x76G9elX+Br3/9zI+I0diZZvX0V8bEUncooXE/bFEPtuIYuPri9eIEXgMHIC1Sz7nQqHHYE5nZS8RLIj1+hUFnBYjMy49DhE0sDt0t3wX530SKysbHqv8GMPrDKe2d22L0fehU0SktVwhzn9Twb8BPLOMjIhkbrw7hozz5yUcns8Mxu+jj7CyLjhApDD49f5hJ6duJDJneDMerWNYMJWp+0Zh9FTbqgioCJROBFQDeumcN1VrFQGDETD2pkDQSdf6ZCOZOj27xnYi0NPJoL5EdHnw0/3Rxcbi+thjlJs21WAP0MyQEATNVeKGjbk3WqJT8bDhXMMLN9dzuPTsh/WAn+6py3eHv2PeqXmUdy3PX33+Mi9lk8jBvvp1SLim9N3yVejyKdgZhktB4D35026OXo03Kdq/INmW9P212FQ2nQ7nbFgS4cJgHq8YyEVOWkOKiDAPcHfA392BAHdH/NzspYwDIbEER6fkEVG5jDPNK3lKB5CWlb0p7+Vo8Ho0RB9j6iSsWSMPkkQpO2Uybo8/zpydl5m88bzMV17Fx5mfhjSRTgDGllRtKv3X9udq0lV6V+kt6eXMUYzdN8zRpyrD8hEoiXUhcp0LVpOkLVskQI6NG0sKOLsKFeTnlH37Cf3wA7JCw5TDqhdfoMwbb6C5VwSHiC5c+TKcXAbC2eSFzeBbq3iB1+vIPrqY0Ycns8Veg39WFst0vnh2myCp7tSiImAqAukXLhD762+SLpEsxfHsUouyfNkxjhRrJcqpklslmd9cXC+Ky0hXEvuGqRiq7YoXAYtfGzeOwLpREHZcASawBfSeZlLapvyQnbR/Er+f+11SBC97fJlJeXaLd9bU3gxGIPwk7PhGYTUQjhiiVO2iRJxXNB9rVI4+0TNnEvXddPlRpOvwePppg1U1d0V9aiohAweScTGIqJq+vNk3Fp0GbLJdSArrwWtNB/JOt5pGd2vxe4bRI1IbmAsBU9dGq4lbpTP7qpFtaVQ+/3zZ6y+vZ9zecaRlpUnH9W87fEsj30ZS/WydjpjZs4n6cQbodNiUDaDc5Mk4NW9e4PB0ycnEL11K7PwFZEVGyvoaFxc8Bw/Cc9gwbH3vwQ7070T4bzI4ecNr+8HFp8B+SksFkQpCOJTtvrFbvgRVu8hFn1Mkc1KN/jLHub+zf2kZ1oOp58F5sP5dyNZDta5kP/0rccvXSEeu7IwMrL28CPjyS1w7F4/D+muLD7P+ZDif9q7D8+0qG4S5qfuGQcLVSioCKgIPFAKqAf2Bmk51MCoCeREw9qYgKimD5hP+kc7wF77sga21pkBY9WlphAwZQsaZs9jXrk2lxYtk/nNTiqC1EpHp4pUZdClXhGC1dX+qP34ffojG4VZ08ZXEKzy5+km0ei0/dP6BjuXNlKswIxm2fAqH5ik6eFSEvj+Z3cDx2epTzN97hefbVubTx+uYApnFtrkUlczGU+HydfJGQr56ejnb4e8mDOM5BnLx7kjZm5+F0dzJLv88RpFJ6RwKiZNpB8TrbHhiTmqx3D6FwV0xpnvRvLIXNXxdi4UyP/XoUa4OHyEp2rxffhn7V15n9PLj/HM2QuomPN0n9quPi4F5mu4F4rHIYzJ6SdCaTes4ja4VuxZ6TRi7bxS6Q1VAqUCguNdF8n//EfrRx+iioyUVqc8bb0gD+d0e7LqkJCImTiLhr78kjvY1akhnFYda9zCOC/pDkQ/96l7wqAAvbi1Sat7ciRXG+6Ct8rqyKP0qk709scmG32q9QMMWb5o9qrFULChVyUIjICL9UvfvJ+aXX0jZsTNX3pXKzixpmsbhalbSsaSBTwOer/c8ncp3QmNV8H1doRW7TUBx7xvm1F2VVbQIWNraEM8z4mXjdRv7li4LDs5RItIzk5U0G61HQsf3we4+aUMMgG5jyEbG/KdQmv7Y+Uc6lDeN1tqArtQqRY1AciSIyNCwY7feE2/c6rVWb3jkHSh3H5acQugYu2ChpI0Wxe+D92UUa0mXjMvBhPTvjz4lhazBj/NZ4yAuxl2Uatlpa/Bn/2+p5F7JKDUtbc8wSnm1cpEiYMraSNfqZOCIKIc/7oq3i/19dbwUf4m3t79NcEKwjIB+p9k7DHDrRNjY90k7fFi2FawP/uM+w9rtlmO8SOUWG3odz4ByaPKJwtVnZpK4dh0x8+aRefmylCWCSdz79sHrueexr3KbQTArU4lCjzgJtZ+AAQvMxmRRpJOUj3BBlS8izPeE7mFf6D6StApbUk6p4VmDtmXb0rZcWxr7Ni42B9CSwKJU9KnXw7bPYdc0Rd3Gw8hq+RGhn3xGyk7lWcS5/SOUnTBBppAqrnIwJJb4VC31y7nLoBtDiin7hiFy1ToqAioCDx4CqgH9wZtTdUQqAncgYOxNwYnr8Tzx4258Xe058FHBhjhJ0zZ6NInrN0gvw8rLl8nczuYoGRcvkrhuLYm/zyQzSaH8cWzUiMCfZuQebr2+9XX+u/6fvKH+ucvP5okyDtkFq16DYZ5HLAAAIABJREFU+CvKMJq/qFA32pufYv3Pw9elQbVZRU9WvGr+aARzzIOhMsRaOBeexAZpNA/jQoRCRyaKSO/eorIX7aqVoZynI/5ujrkGcwdb89I5idxHR67EsT84FnEjLda0VnfLc1noIyLacyLUhV7iRtvGAGcRQ7EQ9US+5uABA9HFxODStQuxYz5n5JJjXI9Lw85aw2dP1OGZFhXQpqcRe+M60devEnP9KrE3rsn3lIR4qjZtSdNefQiodv8ojelHpjP35Fw87T1Z2WclZRzLGKNqnrrG7huF6kxtXGoQKK51ISKXIqZMUXJ4ioPWalUpO3kyjnXr3herpH/+IezTzyQTCra2isH9hefzUsalxMDcLkp6kHLN4Nl1YOto/nkQNMDB/5F9cQupO7aSGpzAjVpanqvuQ5aVFe83e5chdUv+kNv8A1clFjUCwikrcdNmYn/55VYaHI0G10cfxfv551hmc4xvDn1D+8D20nDexLeJee6PTBhYce0bJqimNilhBIprbYj7U31CAoIyNysiHG1EBFnhEWRFRqAV7xER8n+ijihOrVtJ2l2nZs1uIZQYquRGP7tG+Z/I89nza6jZwyQUhQFm0LpBpGal8kK9FxjVdJRJctRGJYBAUsSdhnJhOE8KzauIcFYSeYoFVbvf/e9fCjOK+D9XEvbRR1JEmTdel2vXUkrixk3cGKWsbf8fpvNHmSv8dOwnrDRZ2Grs+F+Dl+U1ytY6L8X1vcZQXHuGpeCn6mE4AqasDeHs3+Xb/3C2s+bU+O4G3SeJ1IHj9oxDOEC1Pa3n1c0a7NKz0Dg74//Zp5JpLicPt7j2XD5ykN1LFhB1NQTPgLK06jeIWm075GtIF8b25O3biZk7j7QjRxQArKxw7doF7xdekGdhsoSdgDmdQJ8FT82D+iXHOGH4LCk107PSORxxWOYzF0bzywmKw0BOESnpWge0lud7bcq2kRH/arEQBIQj+uqRcHK5olCnj0jSNSNMOLzHxWFlb4/vmDF4DnnGoN9TSY/KlH2jpHVW+1cRUBEoGQRUA3rJ4K72qiJQbAgYe1MgooVfWXSYhuU9WD2ybYF6Rs+eQ9TUqTI6sOKvv9xBVRUWdJ6k6CgqN2mOrd39PXrv11H24gGk7NzOjQMB6FMzZa7b8rNmst/uOiO3jpQewMJoWNndMKqefPvKTIWtn8P+n5Uq4nDsiR+KNE/uxYgkHp22A0dba06O62Z2I26BE1jICuLB8Pj1BDacCmPTqXBCYlJzJdporGhTrQw96vnLPERlCvDqLqQq+TZPy9Rx7Fq8jE4XBvUjV+OwydRTGQ2V0FAeDTE2VuirudOsnh8davoUOoe6iLYIeWaITElgX6smu9+cxFebz+GSHkt1uxT6VrLGKiFSGsrFb6SgUrZGbZr07EP1Fq3v+cAt8rMN/nswF+IuyAjD6Z2mF+qhxdh9oyD91e8fDASKY12kHTvGjbFj0V65KkHzGjEcn7ffvoN55H5oZsXESCN68tatstrdlO+5baODFCN6ejzU6avkEdQUMjJXeOSHH1cizYO2or9ygMRgW2IvuJARrxwOp9rDvG4anHo9xtcdvinU7/TBWFXqKIxBQJecQvyK5cQuWKCkLRDnqg4OeDz1lPyt5KQ2ENdmrTYTu0Lcexmj1/3qFse+YS5dVTnFi4A51oagzhX7vjSCh4eTdbeR/KZxPDs93ejBObVqhc/rdxnSL2yCv9+FBOUahYgs7jEF3A13Hhbpd4asH0JQfBDN/Joxp9scbDT5My0ZrbjawHwIJIblNZYnh99DvhWUqQ4BjaBsIwhoqOSDdTA+PZMxyosUaDfeGQ16PV7PPovv2Pcs7r4iYtJXxM6fj8bVlcorlvP89tMcTp6LjYsSjV7VvSpTO06likeVAodujj2jwE7UCqUSAVPWxr/nI3nu14PU8ndl46j2Bo87KzGR/e++gNeOU7JNSEUHqk79nhp1H8mVce30CXYuWUDYhXN55Hr4B0hDeu12HfM1pMtnhiNHpCE9edu2XBmOzZpKQ7pLhw5Y7ZgC2yeBo6dC5e5qWN5ngwdqporSkSDhsqRkFwbzQxGHyNBl5EoXzEgNyjSgTbk2tCvbjjredbDWmDfAwkxDebjFpMXD0qEQshM0Nui7TyViQ3Cuw7t9zZqU++Zr7KtXLzU4mbJvlJrBqYqqCKgImBUB1YBuVjhVYSoCloeAsTcFv+0OZtzaM9Lo+fPQ+9PMJf37L9dfG4ngyxZUVZ6DBuUCcGzzerb9OhPhRWvv7Eztdp1o0KU7PhVNMHKL/Dp/v0OGdXWu/WOPNiIWjZsbMwa68G+ZSJ6t+yyjm40uHPhX98GqVyH2pgdsk+EgctIW8cGHyIHdYNwmUjJ1bBz1iEl5sAs3cONbC50PX4nLNZqHJtw6lLS30dC+ho9cP11q+eHuZFhEgfFaGNZCl6IlKyIVbWQK2ohU5e+IVPQpSj7Yu8tJsthBFmF+DtSv60vHmr4yH5q1CKE3sKQmJnBu9DtEnT5Jioc75ytUIzMxFhdd3lztOSKdPTxx8S6LXu9BUowjer0XWGnIyjiBPlM8eOtlVdcyPjR57HHqd+mOvdOd1KHnY88z6O9BiNxhX7T9gr7V+hqocd5qxu4bJnekNixVCBTluhARtdE//0z0zFnyINjG35+ykybi3Lp1HozSU5I5vf0fxO+mRut2aO46ZBEHNQl/rSJiwgRJHWrl5ITf2LF4DOh/58GyYBtZ0Bf0Wmj3DnT9zPj5SI6CS9sg6B/lPTUabZqG+CBn4oKc0GUoB0BW9nZEe1jjHZEmPzt160q58Z9j4+lpfJ9qi4cKAbGe065dJ3zRAqL+/puMzHQyra3JcnfFumEDsitWICMjg7SkxDte2fpsAuvUo3rLNlRr3gpXr8Ixk5gKelHuG6bqpLazDASMWRu6+HhEpK024qaRPDwcbWSkkjNWpzNoQNYeHvLaYuvnh414+fvd/NsfW3/lf/rERIRzcPzKlaBV7hWlIX3ka7echDNT4L8psPdHJfrPzkVGYdHiZbC+vyFc/J4/3v0xay6tkWxByx9fXmjWIIMGr1a6PwIizUpSWF4a9mQl5dKdRRjLa9w0lN80mPvXB3vXYkVZpLm59vobcp169H8a/88/tzjjuQBE3N9dGfGsjKa1r1WLkx98y1t/naFs4FlsfNaiQcPqvqsRUacFFWP2jIJkqd8/WAiYsjYW7g3hk9WnpaP/nOG3MY7cB5rUw4cJHfMe2tBQsq01rO/gzMLmqdjbOfFJq09onl2TXUsXcuXEUSnFxs6exj0ep1G3npzbvYODa1eSnpQov/PwC6Blv4HUeaTTfQ3pGZcuyVQ9CWvW5l6X7KtXw+vZEbiHT8Mq6hTU7AWDFlsMlXtiZiL7w/YrucxDdxOecqfjkZ+Tn4wwF9TsLQNaGvT7f7BWbCkbTfw1WNwfos6CnStpTb4kdPoyMoOD5UC8nnsOn7dHobGzK1UDM2XfKFUDVJVVEVARMBsCqgHdbFCqglQELBMBY28KJq0/y6wdlwvMyS1u5EMGDJTGCY9BAwkYN04CoNfr+G/BPI5sUCgOHVxcSU++lcfIv1oN6nfuTq227bFzMJAyV9ywfVdfPIKTla7h+k4v0mLsyNLAol72fDLiI1wCW4F7oPEPDdo0Ja/h3hlSPq5llajz6gXT15trxgfM2iujo6c83YABzcqbS6xZ5Wh1evZdjpH5zDedjiA6+ZbXsJOdNZ1q+UqjeaeavjgXIp+3qUorhvIUtJGKgVwxmqeiT763oVz0Y+1hj62fExovBxIux2N707CVo8NFdPyHlqMOUKmmNx1r+dK+us8986MJWrbT27dwfu8ukmNj8h2Gi5c33oEV8C5XXr47eQQQfcOGS0eSiI+4Fb3v6uVA+Tpe3DgfR3xEFFkZx9FlnIBsxfhmbWtPvU6P0qxXH4QXe04RNO6Czt3F1oWVT6wkwOXWd8Zga+y+YYxstW7pRaCo1oW4noS+N5b006clOIL+0P+Tj+/IHyj+L5xTjqxfzdGN68hMU34vPhUq0e6ZEVRu1CzPwbFIoxD6wYekHjgg64p8bAFffomt721UgMf+gFWvKJPSZwY0Hnr/CdJp4fpBxWAuXmHHc+unxdoSF+ROQog96JW0ETYBASQ+3o5fKl9lV/wh+u+35qmdOmnwEXnhAiZOxOWRdqV3UaiaFwqBuPBQIoMvkZZ4p/FbGMPFek+LjSUtKQGdMO4UsgRUr0n1Fm3k6/brRiHFFti8qPaNAjtWK1g8AsasDRFdHtSx073HpNHI/VQYwKVxXBrJfbHxu2UYt/H1NZjJRHQijCPRs2dLo32uIb1lS8qMfA3nFi0UPSJOw7q34dp+5bOIOO79HQTe2wFZq9ey7PwyvjrwFSLibm63uTT3b27x8/TAKKjXKXnsM5IgIxligm6LLj8OKZF5hypo2MvUvNNY7levSNJ6GYpzVlQUkdOnkyDWZna2zLlc9uspedPVGCqwGOqJFAnB/Z6Saa2c+vTlUdv2ZGbpWf5aQ+wdY2ng08AgLYzZMwwSqFZ6YBAwZW1M+PsMc3YGF3juJUC629HXNjBQ/u7Sa1fk/R3vc/bCIRpf8KBihJPEVGNtQ4Ou3Wn55EBcPL1ycc5MT+PYpr85tHaldHoUxd3Pn5ZPDqDOI52xtsnfCUv8jgQDkUhxJc7gRLHx8cYr8AoeVZKwHjgbGgwokTnV6XWciTmTm8v8RNQJdNm3nNvsNHY0828mKdnblWtHFfcqFunwUyLgWXqnIl2AMJ4nh5PtHECM9RCiflkGWVmIe6uyX03CuU3pTEVpyr5h6dOl6qcioCJQNAioBvSiwVWVqiJgMQgYe1Pwxh9HWXs8lI961ual9vemUtMlJEjjeeaVKzI/YIVf5mFlZycNGn9//7XM9SRKu0HDad7nKa6eOsHJrZsIOrgPvS5Lfmfr4CiN6A06d8evavWCb6DP/Q3n10PocSIjzrH+mA8tbzJilambRJl6SVg5l1Eo88o2vnXQcT+j+vVDStR59AVlvho+A48JGiyPYp2/nIe3oa0q8GVf4ShgGUVEmu8Kipbr4Z+zEcSn3jJGuznY0LWOHz3qBfBI9TKYO495DgIigi47PQtdahb6VC168Z6ivGfFphUYUS7kWHvaY+vrhI2fszSYy799ndDY30kNpkvMIO10DAnHo9BfScTqNnvFVWlMF9HpWuwDXelUy4+2FZywDj4mI2EjLis0hDnFIVNLtH0ZLrpWQu/uy0tPtKZNs7oyajxLqyP4eDTn9oZx7UysOPuSxcZWQ9UmvtRq7U+5Gp5YaawQkUrR15MJOhzJxYM3iAs9ii79CNn6HCO9Ff7VGtFmwNNUatBAPqg+u/FZjkcdp6V/S2Z3my0PaY0txu4bxspX65dOBMy9LgRDSdzi34n85huyMzLQuLsTMO4z3HrcmVM2JT5ORmwc37KerAzFecerXHlS4mLJSFUOkESk7SODn6VsjVp3gCv7WLiQyG+nkp2ZibW7u2RMuaOPbRNA0CAKCt2hK6FKhzsnKO4KXFJo2QneARnKgZco2XpISqlJ7Dl70i5F39oDmjQmuHtdfnY7zLlEZX+wtrJm0iOT6JhSgdD33iPzssJ44vnMM/iOeReNo4FOZaVz+aha30RAm57O+X27OPXvZm6cO2MwLmInd3R2wamMD46ubsrLzQ1bexd0Onu0Gbakp9iQkmhFUowVGanp2FiHoM+6RHrSTbrpm70JNiDFmN4a7/IVC74HM1jLvBXNvW8UQhW1qYUhYMzayM7KInTs+zejxv0VY7mIGvf3x8bbG6v7GB0KM+x7GtJbtKDM6yMVQ7pI3XF0AWz5TEkJghU0fxG6fEKCFQgjwtHIoxyLOsap6FOkZSmOkG81eYsX679YGNWKv61IdRUXrLB1CQO0uGaKiHuNrfDsvPlZvOf8beh3on4+96rCaU0avJNuGr9vGsAzbxrBc/9/nzo5RnPtLUfVe4JnZQ0+tW4+Swoa9kbgXw/s7mR8Kn7glR716enE/jafmNmz0acqY3Hv25eALz7HyrZkGb8MwSRl3z6uPv+C/M1s7vkC0+xq83qnarzbvaYhzWUdY/YMg4WqFR8IBExZG68sPMzG0+GMe7wOz7bNnyUx8+pVbowZQ/rxE8rvrk8f/ISjr4sLCZHh7F62iLM7tyu/U7KJrWLLsy+Pp2blhvliKwzpxzevl883aYkJilxfP2lwr9P+/oZ0XVIS8UuXEjt/AcKhRhSNrR7PWjq8pqzBpnKdIp9TkcdcpCE5G3uWg2EH2Ru2l/gMcQ28VUR6RRFhLiLNm/o1xdFGfc4p8okxdwfi2XfZcHn91TrWIvR4JVKPKL8D127d8B8/rlSzqZmyb5gbYlWeioCKQOlAQDWgl455UrVUETAZAWNvCp7+eQ+HrsTx4zON6d2gbJ5+Ra7Ba/97hZRdu7ApG0Dl5cvlwVVidBSrJo9HROLa2Nrx2Mh3qNn6zqi61IR4Tu/YJo3pcWE3cmWLg1xBSS3yQDk4uxQ41o92jGXt5b95c7cjbXcmy/puldIJaB5LnnRJTt635aO7SbPn4gfbv4Ld3ynWD/FZRIzU6llg30VRYc3xUN784ygNA91Z/XrJRyJeikrmz8PXWXnkBuGJt+jZvZ3t6FbXn8fq+dO6ijd2NsYZZrN1enTJ2lwDeK5BPE387zYDeY6hXLynZUliAEOKNJT7OWNz00gujOU2PnkN5YbIEhHt6WdjST0ZRfrFeKxuRpOKttF6LZfSr5CYcIi49KtkCwWtNJRz9cT/1Fm8E5JZXq0zC+r0oFNNH6YOaISHky2RV5Kk0fziwQgyUhVHElECqrlTq3UA1Zr4YueYv9e5NKZfS+bioQjO7NxHUuQ+9FkhuXIcXMtSp31PyneryzNbh8hD2vdbvM+Q2kMMGfIddYzdN4zuQG1QKhEw57oQURRhH3xIyp49Egvntm0JmDhBRg/mlKSYaA6u+VNeM7K0mfLfvpWr0qrfQKo1a0V6agoHVi3n6Ma16G5S7VZr3pp2g4dLlofbS0ZQkBLlfkYxWLr16qVEuXt4yAgu/nwRTq0AB3cYvgZSom9Fmcfc6SCDkze6su2JD3EjbutJtGE3aQltbHDq3pUDj/gyS7uViFSF+lUcGPWr3o+htYcS6Boo/ycOwoVRXxj3RbGrVImyUybj2MCwKKxSuYAeYqXF/h128bw0mp/bsxNtumJEs7LS4F+9Bi4eXvL+RxMVjf74cTQ3QrHN0mOn1+PZqg0BI0bgUL8xceGpxIamEHsjhZjQZPl3aqLy27hfydYno8sMQq8NQp91TWHcuVmcPfyo2KgF9Tq0J7B2LbMb0825bxQ0TvX70oVAca8N8TvMSEkhKSaKpNhokmNilL/Fe2w04pqjTUulWovWNOnZB0//W89B0pA+Zw7xK/68FZEuDOkjR+LcsgXZSZFc3zSGoyFbOGpvxzEnZy7ZaPLcwrrZudGnWh/ebfauSQ6ORT7DgplLGMjFK+YSxIpXsPJ3UmjRdS+cPXMN8dYgjNmCKv+2PLlm61wY/gXdulu5O58R/eqCnRI9aklFrNvEdX8TOXUqWWFhUjWHhg3we/99nBo3tiRVC9QletZsoqZNQ29ry5ttX0dfrQbbRncw+LpT3HtGgQNSK1gMAqasjZ7Td3ImLJF5I5rRpXbe/OEyJdSq1UR88YV0WtG4ukonXPdevUiOi2XfyqXyGSUnQMSzQU2W+xzkun0cYq8XTrPtA++fW104VQoHYWFIF2dlorj5CEN6f+p26IK1Tf7OMfrMTBLXrCFm3jwyg5UzAStrK9yfehqXTp2wDQiQL5H60MrK8HR0d09qbHos52LPIdLF5bwHJwajF+dotxXBgNcqoJXMZS4M52Vd8p4lWsyCURUpGIGji2DtWzJVTWJaY8K2paJPSpKp0fw/+hD3fv0Kta4KVqDoa5iybxS9VmoPKgIqApaIgGpAt8RZUXVSETAjAsbeFLy66DDHrsXz05AmNK6QNzdrxOQpxP76K1aOjlT6fTEOtWsTHnSBVV9/gYgSdHL3oO97nxBQLX9vcvEwcv3sKfnAcWH/7lzDhzC812jVVhrTy9Wqe88bsmORxxi2YZhE6I9efxC4/Rxh48ZLCiHH+jUJfLULNknnFUq+yLNKbsK7i7Ud6G4eONfvDz2mgNMtai0zwm+QqCsxKXT4ejt21hpOje9utGHaoE4KqJSYruXvE2EsP3SNI1dveQ8Lw+/jDcrSq0EAzSt5GZQLXMyvLiEDbXgq2vAU+coSf0elgs5Aa/hd+lrZWaNxskHjbKu8O9kqFOy+TjKqXEaU290ZUW4OXIQMfUYWsQdCiNkThH2sHTZWtx5k03WpxMaew/nSLjQRZyFbx86yDZjSchiju9dmWMNyXDwYybl9YdLQkVNcPO2p2cqfWq0C8PAz/rBOYBx1NYmT/57g3O5NpCeeBJS1bqVxxq5sXbb5nuWGfzBL+v6B8AA3phi7bxgjW61behEw17pI+Ptvwsd/LnPNWjk4yOhrEYWdc7gjojkOrFrBqe3/5B5KCfrpVk8NuidVu3Dg2rvid05v30p2tl4aJet16krr/s/ckfdZoV+cSfSsWQqFuq+vQqHeri1o02FBH7i2L+8EiYP88i2gahcy7GsTt+kw8avXkH0zAsza0xPbfr35u1EWi6M2kKxVHLu8HbylA8uAmgPyze2XvHu3dCSQeXytrSnz6quU+d/LpSKarPSu5OLTXByGntmxTa7lmOu3osAFhXq9jo9Sp0NnnOwciV+xXNJyZoWGodPYkOZRgewOj5NZqwUJydbEhAqj3y2HtrtH4OrtgHdZZ7zKuuBV1hnvcs44u9uTEJWmGNzFK0wxuCfHJaDTXlKM6dorwC2KTY2NG26+9ShbsykV69XDO9AVT38n7Bzun9f5foiaa98ovllTeyouBMy5NsR9UXpKMskxiiFcvJJvGsXl51jFWJ7DYlLgGK2sqNq0Jc169aVc7VvPJNqwMGLmzCFu+YpcQ3podU+WtoO9/rdSVuXIr4AtjQIfoXH5R2js21jej5nCDFSgvsZUkEbym5HkwkD+f/a+A06yolr/u6lz9+S0O5vzLiyZJQsiCIKIiCIKT30+w/OpqKjoM0eC+hfDQ1F8ihHE9EBAAQUkuYAscWFh8+xOTp3jvff/O3W7e3pmJ3T39PR095xaLnXv7bp163xVU3WrvjrnCKI8TZoHxjY4T5qlox5oWgVQbCQBsiwm4qQ156JDnE/zW45Z37yLrTosX/N2OrzCB6s4F/fonO5lzjP3fZOnUe2Fu/zKu6ClTRjZtg1911yT1XwltzCtV14J33mvq0rigqwCHfjAfyH0wAPodTfiQ6/6CG79+NnYtGhm/+eEbCn7jNLWFOc23wgU2jZozNj8xXsQjKdw70dPw5o27zgRyOJizxe/iODdfxH3yeoibXRNeT1icy+5k0olLKtYy484GidfcjnaV61Bd6gbVz5wJZ4fel789t7N78UHjvgAlEO0PMYjlowTkX63yHuMSG/Flgvfgk2nT02kk0JCcjCC0F/uQejvD0FHG2RnI4xgD5JdW2H49wvCU5Dp5N5kUYfl5qRjEbQOiq1r2eEQhHhXsOsQsrw/Ool7C7KgZW/A+sb1OKz5MGGW/fCWw6HRRigO1Y0AbSwnZaMHr4GelNC3+wj4t1ltgDZvLb7uOtiWLatuGdOlL7TfqAmhWQhGgBEoCgEm0IuCjR9iBKoHgVJ+FIz+6U/o+dSnhfCLr/82fOecIwjwu7///8QEonnpcrzxqs/D15zjX3YGqKKhIF586H5Bpg920UKuFRoWdWLTq87C2hNOh93lhZ4y4PCouOyetwv/Sm9c/UZ8+eQvi7SkwXjgw1fACIXEx9ySH91ofdQRIdL/AtC9Deh+ejyp7moGzv82sPGCea9MmsAd+eV74Y8mcccHT8HhnfktIsy24GSi/bFdQ7jtX13Ct3k8Ze0iVmQJp69twcXHdOLVG1phV6cmpsWkjUhy8jkuyHIrNuNjC/LjykkKJq4xEnz8ORHjKpRJfpcK1HafLTb0fDIRx87HH8Pz99+L/c9bfo4VScViz2qsca5Fg20pFG3MrGMyFcezyQDurfPh9VuWI7U3jH0vDIPM0ItnNRkrj2zBhhM7sHh9A2S5+J3gufJZG1K68dgfbsfB7Q/C0C3yDlAg2dch1NmGSy9+O1Yc1gI1z00Gpew3SlEXnEdlIDDbdkGLUUScB+66SwjkOPxwLLr2WthXWhs8hrsPCo3y7Q/9HbTISoFMs59w0Vux9LAjZlwsJoLyod/8HLuetEhw2pR11OsuwPEXXAyHZ8y6SfTZZ4U2emKvpa3R8LZL0frxj0M2I8BPzrKIBF8nsPpMYPVrYC4/FeFt2wXBGX7wH9nKsK9di8SbzsKvOrvw54P3IGVam1iIIHnnpnfivJXnwa7YZ6w8fXQUvV/+yhgumzdj0bXXwL6isI0vM76IE5QFAUPXsfeZp/Dc3+/B7qceB12L9mizi02Ch51xFhav24jYs8+i74770PXQiwgqDQi7FyHs7UTU0QyTzEBPElx1tnFEOZHljR3uggjueCSZJtTDGNg/hAMvPo2Rg88iEdlFI9/YWyUnFG01ZNsa1LWtQdNin3gXvbO504vmzpktBlFms+03ylJp/JJ5QaCQtqGnkhg60IWQIMJzCfIxDfJ8yXFyf+Bpaoa3sQnephZ46bypGZ7GZujJBLb99c/Ys+3JLCZtK1djw9lnI7jSiWeGLJPsPbuew7mPRPHqZ0xo6U/eF5dKePK81Wg84SQcNdSFI7b9Ds00FyHy97SPAyddQR1BebCm95K59Sw5niHK9wCBA9OXgSyxNK4CGldaZDmdi3hlaTYc0/guyPZpiHci2cl0eoYUJxPxCygkDhzEwP/7FgJ33S0QdLchAAAgAElEQVSkll0uNL33vWh85zsE0VXNgb4Fd178VgSG43i642gEz70EH/uv4/ISqZA+I68MOVHNIFBo2xiNJMT6C4UXv3wOnDlz5PDWx9F91VVI9fYCqoqWD30I3rdfiqf++mc8eccfhdtCCovWbcQpb70cSzaOd8GX0BP4xhPfwC07bhHpSCv72tOuRaNjZoUNItKfve+veOL23wnlFAkSWlqW4+hTz8eSJZtg+pNIDcesYygmXN1NF/RAN1IHtgoy3YwOT5k07FEx4DHQ7zMx5AUG6yQMUuyTMOyT4F20FGub1gvCfF3jOhG3OFtmnJtVZQMjAtl/ABjdZ43fYixKj0c0JpVrHJ8P8GgD3B0fAZ7+JSKDGrq3LUdyKCzcrDS//31io3c1uAzJF7pC+4188+V0jAAjUHsIMIFee3XKEjEC4xAo1UcBEQ77Lrtc+JBt+s/3o+XDHxZEx8O3/Fy8b8VRx+K8D38SdpelTUsmRV946KDQktVTJgwy350yYOjm+DhlXadSOlLRbsQjz0CPkXPzzGRAhqythmI/HIqnE1vb7sKezqfwxzf/Hs3O5qys8Vdewf73vU9ob5FJ3s4b/geuo48+tDXQghJpW9Qvs7QSKiRc/pOteOiVQbx6fSvO3NCK9e0+rGv3wmMvXutrKtH2DobxO2Gi/QC6/WMabWtaPXjzsZ248MjFaPWNX5wxkzqS/dGsRnmGNDemMh0rS1BbnNDa3dDaSUucYrfQGiff3pUaiIzu2/UKnn/gXrz0yD+y/pWpvO0uLzr2HEBr3xAUmlhJClzHnwP7YWfCiNULM/SZEDdMdCcNdCVM2Jd6sP6kRVh9bBvs05hoLwUmZOb6yT/fh6f/egfCI2Sm1wqyugybz7oIZ77zzLxeU6p+I6+XcaKqQWA27YI2OnWTpnVfn6Vp/f73i4k4TcIH9+/F1j/dhh2PPiQ0yCks23yUMNXeueGwgvE5uONFPPTrn2b9S5Np7OMvfDOOPOd8aDaL0DaiUcuE+i9/Ka5p0xWR1s4Nq4DwANCwQphZ999+B4Z/8XMkdhK5KGxuw3P66eg971jcZPsnHu15LFu+Y9uOFcT5qZ2nFqVh6P/znej9co5m/ic/gYZLL63NxamCa7XyHyDXNKRpvv3BvwnTnpnQvnqt0DYntzbGKzsxcOd92PlkP3oca+CvWylcgEwMdpdqaZLnaJQ3dnjg8MwdiRQaCWH7w1vFBpS+XU9DJy3VTJDskLWVFqGuLcfitS1445WTfGNNUk2z6Tcqv9a5hLNBoJC2MdLbjf+94r0zvo7IcSLFPU1NwgJJhhwXBLkgyZuy48BUmdG34AsvP47H7rgN/qd2QEpbTwo7UnhxWRAvLw0hoRmot9fjZHU9zn4ohPa/Pw8paX0HkqZi8wc/CNeqRkh3XQnsedB6VfM6a/Pu8pMPfTUtWpPJcjrIVzf57Saf4+I6fZ+uc88pjUib+1wYiPmBAJlbn8bqk70OaFp5KFGeIclnYe53xkriBFMioIdCGLrxRxi++WYx56ZvjvqL3yTm3WpLS1Uhp+sGgoMxjPZHMNoXgb8/ap33RxAatjR3M+E93zkNtjzmvIX0GVUFFhd21ggU2jaeO+DH67//MJo9djz52deI99Pf3MD3vo+hm24S7p1obtB6zdfxcvd+bP3jbxENBkQ6cj9I7qJWHHnstN/od+6+E1967EvCrVqrsxVbOrbApbngUl3Z2K254TFc8EVc8ITtcARV2IIylBEdqd4Q5Kg845xC9mpQG51QG2xQ9t4GJfQ84uZRiBpbAHPsuzGo9qI78Qz6eh6BPNiHpoCJ5gDgyNk7OWVFKArUtlZLc30STXbSYqc1uNmYip91Iygmg/AQ0L/dslxJijcifhGIW3U9aSBrlrmEeoZgF5ZQJpDtdJ2xlpJ9JrM5jKylpM9nsFBQjGgFPxMLALe9A+Yrf8fgCz4MbveKvwNt8WIs+sZ1k6+tFvySynqg0H6jskrPpWEEGIFyIsAEejnR5ncxAvOAQCk+CpL9/dh78ZuFiVnPq1+Njuv/H+676Qd44cH7hERHnft6nH75f0BWFIz0hvH0fV3Y8c9eQYwXE0wzDj2xA3r8OZi65UOWgiT7INs2QPWsxUkXnIDDXrV4nNZVamAAXf/5AcSef16QMh3XXC18VFVD+P7fX8E373n5kKIuaXQKMn1Duxfr2n1Y3+HF8iZ3XqbUczMLxVO489luQZw/sXck+5PPoeINRy4W2uabO+uyk56UP474zlFxJLqCSA1Fp1yHE6bUBVGeJsvb3VCbnZgPrfFi6zoS8AtLCKRtnmsJwW13oHMkhI69B+FKL4yqizpQ94Y3oO6CCxB2tAqf5i8/3gtlJI7FmoTFNhmOnE0CSqMDriNb4DqqFVpL4ebai5HJ0kp/AXf84kZEdu8Ruozr33gxznvrO/PKrhT9Rl4v4kRVhUAx7eIQX99EVH/jOuHru2/PLmz9w6145XHLDzqFlcccL4jzqdyA0LgydDCE/n2WqVxyh+BtdMDT6Bi3QYX+Bkj796Ff35w1nU3kyUlvfhs2nXamGK8oCGL/vz9jaZnIMpre+x7UX3wxRn97G0ZvvRWkKUWBtL+8F12IZ1/ViZtG7sSOkR3WfUnGWcvOEsQ5mTCcbUj29qL7059G5DFLi959yino+Br5hs/fsstsy8DP548A+a4kSzw0dpBrmkwgEm/jaWdg06teA/fwKAbvvA+7nugRpPlI/ZpxpHljA9C6vh1Ni9Pm1xd5QJrm87kIqadS6Nr+HHY+/ihe3voYooEx1y6SrKFl+dG4/OrP5QVUMf1GXhlzoqpHoJC2kUok8KP/epdFijdb2uJCg7y5RcTUv7sbGqErJmKpmHXoE+JUDHE9LsgM+i2eiiOqR0VaOpdDJpLBKP4ReQzdyV6Brz0uY91+Lzbs88KZsMYNyaZixSkn4fQLLkNDh+XjlfruoR/fhNHf/hbkLoSC89hj0PJf/wWXaz+kez5jbc6i0Ha45ds7Q3xTTNrYpQ5233gt8lyNcnJdxSR5qREvOj8zlcLo7/+Age9+F/rQkMjHdcIJaPvUVXCsXz8uX8MwMdITFt9ByXgKdpcG2nTlcFtx5lopg/UuKktoODaOHB/ti8LfH0GAtGPTVrgmA0ZTDDhGuuCMDmDte07BEa87aUb8CukzZsyME9QUAoW2jbue68EHfvUUjl5ajz984GTEd+9B9yc+gdgLLwhcfBe/CYMnHY9//vkPwjUIhYaOxTj5ksuwdsvJkORDNz9OBujOkZ342P0fRXg4gPZEM9qTzehINKMj2SyuKfbp0yt1JJFEOOVHJDGKUHIUfjmA3qUJDK+TkayXYXc6xoj5eBiOJ36CA0k/dqs+1CWOx/HBE7E5shYyrDInpSS2ep7H4/VPIdYawAb3CmxQV2NZvB4NAR1Gbx+SPb0glyWpnh4kafNz2prSdI1GstuhtrdBa2u34nYyD2/FWnubMBVPbq/m5fuWxtmBl4C+CWR5aGytcZxssgrUL7WspdCz8ZA1bs9V0FyWpZeOI4COI62j/TBAc87VG8fnG+gBfvVmJHZux8GtTYgNWko8tObV9rnPQsmx5DZTgajfJ2Wb+G6/OIxo0lKm6Ugf7e45c704U9km/l5ov1Fo/pyeEWAEagcBJtBrpy5ZEkZgUgRm+1FgxOPY92//Jnyv2VavQttNP8adN34HB7Y/L/zMnvGu9+LIs89Dz85RbLu3C3uftSYYFFqX+7BuSztsDgWyKkFRZMiqDEWRxseqBFmRoVAaVc6eU9qhrt144t7bsePhByElxwh5SWmF3XsYjj73NTj23E3Q7NaiFmkVHvzEJxC672/iuuUjV6Dpfe+bnw/1PNskET2jw8O45/GXsKfXj/2DQRwYCiIQiUMxDcimDtk0oIDODdhkA21uDW0eDc0uBc0uFQ0OBTaZNP1ToIVvsWva6UJ/XMZzAwls64sjaGqIy3YkFTuOWt2BC7asxtmHd8KhKSBT7LFdfsR3WaR5ajBH8ywtB5lXJ5JcbXONEeZtLsiz8I2aJ0QlTUZ4h0eG0b93tzh6XnlJmNvNmNklH2WLTBkdO/ehKRQV5LMgz845R0wi9FWHYee/BvDyE30YOpAxl07WvGSsOKIF645vQ4tNRuyZAUSfH4SZGGu3WqcHriNb4TqiBYp37s14kqwfv/2DGPrnszjz0v/A5ZvfkReWs+038noJJ6o6BAptF9HnX0D3Jz+JxO7dQtaMqfS+g1345x9uwe6nnrAwkCSsPf4kbLnoErQuX5nFhSbgpKnUvzeAvr1B9O8LYKArCCM1uVYdjTVEpBOpTrG3wQ53vQ2D+/+FFx74PcIj1qJ04+IlOPXSd2DVsVvE2KAHAuj96lcRuP2OQ+qEdt273/YW/O1wEz/bdxv6ItZCi1N1Clcil228DEu8S0pal2S+fuSXv0L/t74FMx6HUleH9i99UbhN4TD/CFC/2rvzZUGav/Tog0hErfGSvomWH3EUNp1+FhZpdoz+5X7seqIbPfbVGGlYB1Mac4fS3Ghi7WkrsPr4RWIDSCUHw9DR/fJLgkx/5fHHEBjox4ZTTsfrPvTxvIpdaL+RV6acqCYQKKRtDEWH8PlHPz+e9M6Q4WlinMjxaYMJ+HQ3FiVa0ZloxeJEGxYlWrBYnLfCYVoWSnTo2OvoRn9DAFKnE21rl2Ddso3of+p5/OvOPwmrKZmxa/WxW3AM+Ulfb/lJn5RIP+YYtLznHXAF7oD01M3Tl5EW7UkjjVwECc001/hzMh9LC+1ZLTdKS9ekyZa57wUalgGuJibJq+AvJfTII+i/5lqQNTUKtuXL0frJT8JzxuniOjAYRf/eIPr2BcT30EBXCKkpXGXR+ATQvCMFRTNhd0ogwzuaneYpJjS7Ke6rKsUGZMWELOuQFQOSpEOS6Fkd5DKBNq3QvNLu9kDV3DAMB1JJGxJRDZGggpBfRnAwJazLTRVoblTX6kJ9qzMdj52Ta7bHP3Al6tubse4zn8zLLHAhfUYVVD0XsYQIFNo2fvjgLlxz90t4wxEd+KKyE31XXwMzGoVUV4fIO96ObTuexWhvjyghWTU58c2XjtuAO1nRjXgKqYGoOJIDkbHzIbIeMo1FEABBLYIB+yj6bIM4qPajS+1BtzaAHm0Aw2oAsmFiTZcXh+/2wR2zyE2yivLcygBeWRKEPrXHPbGWcUSiCa8b2owjQ1vgTS3NFl9CEC7lYbiUB2BrjEBqXQ+0rANa0nHzWpiqE6nBQSS7u8WG4yy53tuDZHePGPcyG39mqlLJZrN8sLe1QSUf7BmynXyxtxHZ3g6lsbH4tTuy5jK009IqzyXLR8hV5BR1QJYp2zYBrRuA1o3W0bT6UFPtWUsxZCGGLL+ELGI9cy4sx6TJ9sx5bpxNS88GrWfJXclUgeYNVBdZUv0IoP3w0lvR7H8R5i/eBP8zw+h9qh5mSoLs9aKD5p6ve91MVSo2SuUS5vE9fpjRaVwLSIDa5LQIdVLASRPrwlJlmTf2FdpvzAgGJ2AEGIGaRYAJ9JqtWhaMEbAQmM1HAU3Cez793/D/6U+Q6+pQf8P3cOcvfoyRnm7YnE5hsl03luLpe/dntQHpC33F5mYcedZSdKwa02jOpz6E+exIn/Bx/uLwi3hxyDr6o/1QdAlL+py4MHEi/C/tgWlkPjYlqI5lWLPlNLzq7efCXeeFqevo/+a3MPzTn4rX1l10ETq++AXQB/t8BVqI8Pf3w9/fC39fL0b7esT5aJ91Tf6uyhkUSUOLoxPt7hVocy5HndI87oPVhImEK4Fkgw6zVYbS6oCtwQWbyw27yw2bywm70wXN4Sz7hy7hRJoaVM9EvAmD8PSxPeGgD3BBRPX2oH/vLgykCXMizSP+MW26DO6Nmh2L9vegY9APjfwzyjLcJ50kSHP1hNOwZ3tAkOY9Oy2NVArkx3zpYU1Yc1wrVmxuyW7kyPxuJHTEtg8h8vQAYi8PW2ta4kHAvrpBaKU7NzZBTm8AmYs2MBwbxu7R3Ti2/di8s59Nv5H3Szhh1SFQaLvou/Y60Q+T2dGOr38No00NeOwPt2D/c08L2YlwXH/yadjyxrcIUjs8GkffXlogDop4YF8AidihCwukYUUbtGgzVnAkjtBIDPEcFwqTAWuaKejxZ6DHt8I0rP7W07gca0+6CJ0bNlkk5jP/hP/aL8EYHYHruOMgX3IBbmvdi9t2/h6hpLVZpsnRhLdteBvesvYtqHfUz2kdxnfuFL7aY9u3i/f4Lng92j/7WSg+35y+lzOfHAGyVLL9H38XxPnQgf3ZRHVt7TjsVa/ByuZ2JB5+HLu2HkCPbRWGGzfAJDIsHRrriTRfjjXHL4KvuUwaJSWuTPpO69+zC4qqonnp8rxyL7TfyCtTTlQTCBTSNgajgzjjt2fkJbdTt2NZajGWJxdjeWwJFsfb0JZoRHPCB6cxtRsEwzQFx2GfxNWQockwm51QF3sQVofwwgv3YPez6U1gpFS+cg2OOf9CoZlIfx+ksZfVSCdT3LTxioj0yy6Aa4UXkjDpmiHJc0jwWvatmlftLZxE8V270HfddQg/+A8hNM21Pe/5EOJHvRr9ByJibk0bB+n7hqyzmfooTGMEpk6WxEahKAEYegSGnoRppGCQpqQ5vT/k0qOrQJJdUDSaH3pB1lfcDXXwNTeivq0J9e2NcPnq4PTWwenzweHxQM4xVUzztHw1eanshfQZpZeVc6xkBAptG5/543O44x8v4jsH70L7s1sFteo/7ii83OzDYPcBq8/21QmrWJvPPAdqeh2JyEJ9NC6UDZL9ERGnBiJIDkQxpWs7ykyRoDY4QJbpVDqarFgh0+uNjkPWAuh7K2EkEE6GEUlGEElFRByKBHDgsSfQ+/fHoQfCVpV47NCPW4zwxjqEzahI1+Zuw/oGy1/52oa1QkOdFCzIvUfipR2IPDeKyH4PjMTY96gi9cIlPyDIdE22MBChbmmaVM8Q60SurwUcddkkRiIhrFUKjfXePqRofYu02Pt6kRJxH/TBMUWb6doSWZIcI9nT2utt7dA6SLO9HdqiRWIuJAW60ibXc8jywZentujibrVI8ixZvsmSa77cOlJ96AmLSI+NWqR/zzNA99NAz9NjVmvGgSUBzWvSpHpGW33zuLoo6O90zz+g33wZeh6WETxgtQWaA5NbM8J5spAPYS7ZZEgdHqQaHTBsCmzxFGR/AsZgBEZwcos7kkOF1mEp6tg6PGmC3QVJm2Z3SEHCHpq40H5jlq/jxxkBRqCKEWACvYorj4vOCOSDwGw+Csj/Gu3GJSJR+cJncO9fb0csHBLmEjed8T7s2mYgOGQREYomY/2JHTjyzCWob5vZTLUwMR08gO3D2y2iPE2Yj8THzItn5COKdEXdCly05iK8Y9M7QIvY5J9621/vw2hP2i8tJZZUtK08EsdfeC5WHX0MArfdht6vfBUwDGEGr/O735lT4iEaCo6R44Ik702T5D0IDQ1lfftOWm/kV7e+AZrDAVlRIauqWICjcytWRCwpKuIGEIyb8CcMjMZ0DMcM+OMGdMgwJBk6rI9MuxmHB0ks88rosJtoMtzwJurRgFY0aO1QcrThKL0/MYj+6D70xfahP7YfSWNmM1VEgNFmCpvLJQh1QbCLa4rpOn3f4YAmK+KwSRI0SLCZgJLSoSQSMCMRGOEIjEjYisMUh2GI++nznGvSypwYdAkIOWwIOO3pw4aAww5dmcTEmmnCk0jBF0+iLhJHsz8Eb8xa4LSvWYO6Cy+E46xzcaBHwsuP9+HAi8MgM4UiSMDiNfVYc1wbVh3VmrdPWj2UQPTZQUS29Quz+Nn2rclwbGoSZLpjdQMkpXgf8WbSAL1HDybE5ITOjaB17d7SAdui6U3EZco0m34jn36J01QnAoW2C7Jg0n/9dxA+5QQ8cc+dOPiSZRaR+rN1J56OZUeejWjQZWmX7w0gErD+BnODqsloWepFyzIPvJ02uBZJMLwxsZCkmzpUWbX6spSMlB9I+E0kAibifgMxv47YaApRfwqRkQT0pCkWoVOxJ6DHnhIaWqI82kqozlMgK81iU4zda2K4vg/PYit6PXsx4O5CZ8MiYab9/FXnw65YWorlCMIf4w03YOhHPxZjmdrRgUVXfx3uE04ox+sX7DvIkstob7dw6UEHkcZ7n9kmtPEoqJoNa7achDVLVsL5/CvYvbULvbaVGGraBEMeI+jq60ysPZk2+S3K69uo0gEX2o1iI5gJabKxdRIBCu03Kh0DLl/pECikbZCJ9T/vuAtq3AE1YYcS0WAfVWEblWALmtDCJuwxE/akIb4vpwsRw0RYNxEi89MGsucRw9JPc0hAoyqhQZFEXKdIUCZoRRHZHjR1DCd70Bd4DoOxLoRTo3B4GrB6y1k4/Iyz0dDRCCU0guGf/ES4BBE+rQFoS5YILWPbkiXQli6BbelSaJ2d4lp2VufmmtK1itrPKTUygsHvfR/9v78dQVcnAnUrENtwEkbVJoRGBwVBniHKDSLMjVHACMMmO1Bna4ZPa0ad1gyfrQm0ITphxJAwokiQW4J0LK6NGJJSCjpSSElJpCQiq1VIkgrQd5OpwEwfhiHD0GWYhizm06C5pIglwIwDZhSKGockkVn2KFKJUHY8nKzGJMiwyXZosgN2xSliurYrLjgdXrgcPjiIdFdd4rdlnzgVDvfMc5RC+ozab0ksYS4ChbaNz33uJ3jtHT9CUyyAoToPdh+xAQP+YZElKQscd+5F2HDEGcCoLshx0irXh6MwhmPANFYXTLsC3a1Bd2lIOVUkHAqSdhUJVRrbLCL2/UtZLxpC6zarC5BeB8hJk9XKzblHG2cO7ngMe/51N2Iha/3M7q7DymPOwdLDTxNm3VW7As0mW7E4t2K6pvkVDXhkYjuyrQ/R5yZYzXP0wCXfD5d+FxTpUMUD8ULvIouA9pCbqbQA42JKlLlP+3vITUocqdEEkoEYUqNxJP0xpPwxJEetQw9RfzNz25YUE5pLF4fqSkFzW+fiqHdAXb4O8qKN4zXL3c0zZ1wpKeh7O9hrEelZUv0ZINg9eQnJRYvQVM+Q6kcA5KpluvDsbQj/8MPofsyLVFQBVAUtV1yBpn//d0hpV2fiiz+jYb5rFNFXRpHYFwAmWEGhdbiAImMwZaA7MIrh+BAMIwDT8ANmUmy0guSCrLhQ521Aq68ejU4PvLIMR0KHGk5CmqzeSVu9Oa2tLjTVLWJd8ZXG1VWh/UalNA8uByPACJQfASbQy485v5ERKCsCxX4UkDm5rve8VyzYBy67BI9up4VjHZ6mZZC085GMWwSCw6Ph8NM7cfirFsM5hUlq3dCxL7BvHFn+0tBLCCbHSMQMKKqkYlX9Kmxo2oANjRuwsWnj2K7ZSZAb6j6Ih2+5E3ueehh60pr0UNAcHmw89VVY4a1H8tpvCoLWtmoVltz4Q9g6O4uqAzJlFxgkLfI+cQQGrDijTR4Pp3cBT5G7arejvrUdpK1W39aOulaKO8S1r6UNqja1VsxMBQ7HU3i5L4gdvUG81BvEcCiO8zvqcZykQd/jR3xPAGZivCan7NMgL3HCbFOQrE8hjojYIBEPhRALhxEbHUHMP4pYKIhEJIJ4NIJEPIZEIo5kMgnLTODsg2Sa0HQDqq6LOHOoKV1ogmspumf9pmZ/1xHXVPgFWW6R5kSem5OYfZINA95oAr5oHHXpmMhyJaf8SlMT6s4/D57zLkCf0YJXnugX7ghSOW4DiMQj0nzNsa3wNMzO5G5yMIro0/2CTE+lN6EQkrJHg2tz2l96p0dMrmnSYoSTFikesmKLIE9ADyWzBLkeTMKMTa150nDJOriPys+PcrH9xuxbA+dQyQgU2i72PrsNj9z6S/TutPyFS7ICV9tmyNoxSAYP1aI2JROJugBC9YMY8fWg37MPfbZ9COgB4bN2VoG0ClMueBIN8MQb0BDyYtnBGOpHhoUVC+rNFNsGaI6TISmHlq2hw4W2ZT6h+d66zIfmTo/YOFauENm2Dd1XfQrJ/Zbmc+M73oGWj30Usr18ZH65ZC3ne0j7jcZ1QZTvt8jyoa59GO4+YLlDmRDaVq3ButXr0XJgEAeeOIAebRUGmw6DoYxZuPF5Taw9aQlWH7cIDU0OGHEdZjyVjulchxFL30vooI1PogGKg+y/WLEgqjPjlEmn9L/0vXT6Q+9lnk+n003LB62Rjidez/CbsCyZeTadlorn2NCI5ndsyquqCu038sqUE9UEAoW0jZE9fjz33W3wyBLcsgQX8XzTmPqMC3LcRNgA4qqMpEOF6dEAnw0Onx0OrwanxwanRxs792qCXIgGk8IiCh0hiodjMAYiUEZicEZS8OoGnJNoqcf0CIZiBzEYP4iheD/8aILiOhLepla4XDLUgS5Iu56DLToCLRmCLRmClgyLczrUVBRaSwu0pUvHyPUldN4p7s2b79iaaG3zK0QyrqN/9zD2/uEBdD3zMvw2F2Iq9cuWRrmIjYAYCA4lyok0b4JTnZlgnlZKCZCdqjgkl2adu6xrma5dKkDknywjJVkWp1Mw4XZpcDoUSAlD+LI1IikY0RSSwRhSgSiSobi4L0z2xk1IZP6XiPgCQstVR8HeMLN8hfQZBbyek9YAAoW0DdKWvu3t30VQU2HK++BSU/BqjWJzis+xDF61Ds5pfJzr5A7OAEKZjVgiBoKGiSm8TM0ZwsLCVuIFpKKPA2Z6bU1yQ9FWQVLqIMn11qHUQ5Jy1pqImCRC3SaLcc9uk9EiAS0pA3Vx3bLwl/40jXlMJNwBpJT90OIHoIX3QY31QpPi0KQYZEmnbZUwTRkm6JAmuU7/ZtJvmTS596z7tJlHTyhIiUO1zpMKdDoSdEiQEjpkPQHFSIpYNpJQjARkPR3TtZ6AVu+Fvb0V2qIOsQFZ61gEjeJFdN4BWv8pxALGnFViIRmH+i1CnYh1oan+LGE7TFAAACAASURBVOAfs4o1LiuyHLAol1Q/EvC0iLmFcf83MPCd72F4h0dMLeSV6+C76kvQW5Yg7I8hfiAEszcM20gMrmgK6oRlv6RhYCgZwkB8CP2xgxiJd8Ew/DANaoNj7gtnFk0T5LoseeCzt6Fea0G9rQkN9jrUqS7YxEauQ4PkJG110lTPmID3QGslbfXCxp5C+o2ZZeEUjAAjUMsIMIFey7XLsjECRZo6S+zbhz1vuQS634+9p52AF/0DAkvFtg6q62zx8e1psWHZKV7UHQ5EzJAgw4OJIEKJkIjFeTIktMx3jOyYlPywyTZBjguyvGkDNjZuxOqG1UVp96VSOh7/v614+q/3IBp4QeyUzwRfQxPau3rQ0dULn9eHJTf8D5xHHHFI+6ANAsGhwSwx7k8T5IIs7+9FaGSMoJ+qcbnrG1DX1oH61jYrJqI8HbvqaOJSvHbxxHcKYjWYQGokhtRwDPpwDKmROFLDUST7IjAj4xf/TRUwXDoSahRxM4h4JIRUNIZkNA49mkCK/HbFaRKWQiplwpAUGLIKQ9Jgyorw30r36Jw03YWXPMmAIRsg/XeDzkWcErEpll3oSJJBeJgmke4JwIzBNGOWRkNBH9gz/0mrNic8jYtR19SJ+tZONLZ1oq6lFTabBtUmQVXTh0axZYKdOImBoB2vPDWI3dsGEM/BjawpEGm+9ri2OdEeJPIjeSAkiPTIMwOCKM8Epc5mkeehZF47sccelIR/dTpkEWuQaZF4UxNroM/chDjFNAgUOsn8/lc+h/jz24Qmk2LfDNVxLCTZm32D3zGAfvd+9Hv3YcC9H4PuA0gpk5t1yzxE44bH5oFH80CRFdAGLdJETxkpEdN1ihaT0vcz11OJ5QupOPrleizvdYskumSir0VFs3s12tQ10ENexMJ2SDL9PrbbXVYkNC32oHWZN0uqN3bQzvrCJu6FNDiyxkFm8Ud/+1vxmH3Naiy69lo4Nm4sJBuRllxgGMGgGOezx2jmfFTcM/x+4frEInOWwrZsKbQlS6F4LKyqKVBfS647JhLlgwf2IxmzvhdkSYEqadYh2+Cwu9HQ2IY6bxO8Dg/c/hiiB6IIa61IuNqhKJRegioJzgFujw12TYGkG4IkF8R4jQbHugY0v+uwvKQrtN/IK1NOVBMIFNI2ogMRDH3rX+PkJo2nhE0Rmn5EjMsNdmjNLrGg6mpyiI29diILJyG7ZwMg9SfhnhDCL48ivjcAozcMxR8/RHvKMA34E/0YSoYxavowbNQhak49D5AMPUumZ4h1i2S3iHa7nISz0Q1XSx08nU3wLGmHcwVpsS8VfmMl+rDlMG8I6CkD0WAC4dEYhrsHMNh1EL279osNWRF/f5ooJ01Oa0MzEeVCm9yW0Si3zh3K1GOsQm281QW1zQ2tzSXMPhOZLQ4itiPJ9PkY0U33J26iLhdIkl0ZI+0dCkwN0BUdOpJIIoG4HkU8FcHmd54P2TZz+y2kzyiXjPyeykCgkLZBaz5Pffx3aNZaoOZYDZooSSy9ESukA2H6jpQkRCVJaJPLqgJZlaCocvqwzuXMtUJpZLHZllxO0bn1AT62IZLGEmvTZM49uqaNizn3xV7KKdKKTZL0iJ6Cv/dfGNz/IFLxyTXGxVxGqhNkupwh1WWLZIfkyK5T2cjaniaj00ZWWMbmNSly75g00ZUwMFDunQJFNjMaV2VjjGwfR7qbSbGJQLWr0Jw2aB4HNK8LtjovbA10+CDbNGGNM7OGl13Ky1nTy5zmWgrIFNf6zRr3xbllbMAKE/IQ+2SpnmlfrYjJcppV9+RdMLNplqwi5p4jEYEZ6IUR6AWCfTCD/TBjQbGJwTBorUuBQRsXTBmG4oEBJ/zd1JbrEbfXIeFshEdR0KzKaFYlNCkSbBO+m5JGEgOxHvTH9mAguhcjiT6kW+khNUOWNH3NrahrpfWzduHyMRrwIzw6itDIqJiPxUL+aa2YZDKl8bDe1op6GxHrbaiztcKnNUKWDp1vU3mSDgn2E9qw+Jy1ebWYQvqNvDLkRIwAI1CzCDCBXrNVy4IxAhYChX4U/Papm7H8Ez+Es9uPRw9bi5BskbCKYwtUx0noq9uDpzv+hr0NL2ByOzuTI+9UnVjfuF5olWe0y1fWr4Q2zaSlmDqkxYvtjxzAP//4AEJDz8JI7Mya6aX86sIxLA7F0HDCCYjabAibKYTiMQSDAYT8I0LLfrqg2R3iY9BHBHlLmzjPEuat9IFYnGaynjQQiySRoB39cV3E8UAEiYEQ9MEwDH8MCKUgxw0Qv6QZZAJdhjwNIU+TnKGUKSY4ZE7JP71oxcA9q2csDXby10eEOpnrilu+iSlOE+zC51/2PP1bOg1N9GS1FZLSAllpFeeQvAVtUiD4iPCidpMJ7jqbpWl+XJswHV3KTQ/TAWbqBmI7RwWZHnthaDz5QuV0a1A8RIprY+S4J02QpwlzIs0l0hKZ5UaNQvuNWTUEfrhqECi0Xfz8p7fBeLgLqm09EjYdYfcQYm4/dE8Ysi8Ju02DW3bDKTvgkp0iFv/IzCf9k2zisEGz/pkqZFoAINOJ02jW5mrMioWldFr6GxOLERmtW92w9vDQvZQhSGWYEnQzhWByGMHkEAJ0JIZFHDHDkFQXDNMF03RDktyQZI91SG6odh9alrWjfUUTWpZ50bbch7oWZ8nJm+D996Pns5+DPjQEaBpaPvhBeM86C7p/jPjWR61zPUuK5xDlRI4HAmPazQW2QNLYIFPDGULdljFBXAYNSVF/SUOQAUKTm+KELrS7yRekPhpCfCSI0MAwoiMBxMJRJGNJGClycqJAkWxisdQiya1YkW3QJA3kkmROAi2c2hVINgUy9c92FYJUoHt0qLLVRjIramJgshbWsgtv6UW37L20uU+RIG3SUzwvjvQ98fGWzpvyV8h8qNgpYL2PYtrwQZq86evxv6XTZNLmptFkyLb8fBIW2m/MSR1wphWJQCFtwzAM+O/eC63FCa3FJUx6ktWe2X7vlAoYGkMS3SEk9gWR2B9AZNcQpMihlpqSso6E3Q4y5h7TTURTBsIxHZGkIVw0xYXf24yDkZlLp+hxaIkgtFQEdiUFu0MSWvXEpWuKCTVz0DUdGsRmUhFrMjQtTfqQj1EiCchsq6JYsbhWrX4ke4/6LOrP6HvTAdnpguxyQnY4ILlI+6ty6mRm9GZOYegGoqEkIv4EIsGEiMP+KEZ7+8WG69DIIKKBIcQjI9AT5KOcTNaO18CbjCivt7fCLk9trl+ptwuCPEOUC9K81SLMiwnUPi2SPUOwT0K4Z0h4isNWOhpnxdiV0VzP1VpP38v8ltFkJ81Ace4g12Ol2zhezLpGMVjxM9WJQCHjCUn43Gf+hAa9CbT9nzZgqc1uyOSbvNkJlcYZ+pujeTaR5JlvqSqARk8lsfOJrRjs2ovR3h5hKZFisig47RqXwwV3fStcdS1weJphdzfB5myCE/Xw+mV4hmOw5WwMTUhAvyKjWweCtKZD35T03SriMRP11rX1/ZkxW3/Ivcl+S3/PkrKDRTxLNCQJQpksBKYSOlIJA6lkOqbrzP2MZacqqK/5KCIptfikGJpUHS2qimabB7YJa7LkynEgdgADsf3oj3ZhJNE7RpiT68nGprG1UFoPJSub6djT0DijZj+tAyaiEUGmR/x+Kw6MIuwfRWhoBIGhYYRHRhEN+hEPB5BKRLJQ0XyOXJhYxHqGXG8VLkIo7Kvvx8mfelNe0Bbab+SVKSdiBBiBmkSACfSarFYWihEYQ6CQjwIyZfqni0+Ge3gVtrcTiUD+lBQortdgf0cCzyy6X2gKUiC/5KQF6NW88Nq81rnNO+7aZ/Oh2dksSPNlvmVCWzCfIIhVmugnDGuhPEkL5IYwyaPQYhlpk8xAEBIh+uKjPXjyzpcR6N8OPfEijBSVfXqz42RO3GVKcKsavC43vHUNqKMdlIsWo2HZCniWLoPW1jalBh4t7sdCMUT7/YgMhRAdDiE2GkE0EEMskEQ8kkQyagjzU6ZO/uYsH3Pkw1eTLJOUZBYyY56StNumC+SDMWoA5M+RfDdasWVWbFQ3IZFZKzNFBrGgkJd0yaR1MetI74pWNWvnreLQoDpsUJ02qC6H2IVL1zRpFDusiQSgcxFPPB+7Fumzacany5okJ83qNKlFMS2MWrEpyDGKx51n0qafo7RUx9bkSUcybp0nM5Mpcc+aUFn3dKToOmmI+/R8brC7VKw6phVrj21DxxralV3aBZ982n1uGiOeQuJASCw+CU1yt1byRajpylRIv1GobJy+ehEotF0cvHMHzIf6q1fgCSUnbULycRtIELGeQ7Anh0ALDdkg2SFJFrGuaF54GhtR39aCpsWtsLudUG12aPaxQ3XYodnssDntUDRN9D/Uh9ICkyyn+1NBdtK1dej+EfR+4QsI/+1vs8JXdrkg19dBqauHUkdx7uGDEY0h0bUfyX37kejqgj48vSUW2eNJ+/RdCW3xUmiLOqG2LYLa0gbZUy8U7wThTWM79cXxJFKRhLCCokeTVhyKQadFfnI7kqRxTIJEG8aIAp/ClN+sQJjwMJnmpCGCtg+KmK5puxdphsgm3C1u1HV64GlxiT46S4QTKU4EOZENaXJcEAg52julLGe15FVov1EtcnE5Z49ArbeNlD+Ooad2o/ex7cBASiz05tuHmTJgkHY9mZ8njUf63k8kEY3riCR0kHGimCkJsj2e9u5QdI2YBoiIH38koB5ybywNafTJhg6J5himAcmgmMz+GqB5hUzzCpsGxaZCtWuQaX5ht0Fx0mGHSv55acxzOyE5iYB3CiJ+3DmR9HQQKS9iutZELLQCJ5D1QmOPsEhvlLO09NLXGa2+zPzCMJGgjQuBOKKBBMKBhIgjgQRCI2GEhgcQ8Q8hFh4GjCAUMwzFjEFFHKqki01XZKlEk21QxcYs61yT7OKcDrvihk9tgEOdRqM8S5S7oLVaWuWzIcqLbgNTPEiYzjTnLvU7eX5STkTn7l033HADvvGNb6CnpwebNm3C9ddfj1NPPXXKF/7+97/H5z73OezatQurVq3C1772NbzxjW/Mu4CFjifDL+6HrqfQvGFFWefYeQtU4oSxUMgi0/t64O/rxUhvt4hHe7tntLJI8xYiRxc3rUeHshy+UB3k5NimU4m+hZ30DZzeIEqxw7oW38MU0/dx+jqzmTR7j34roQUv6resdaL0kSHZc8n2aALxoVHEB0eRGPEjMRJCIhhGMhhFKhJHkuYkQr/CWhMSK0fj1uXI5HzuvbG1I9L8th7L7ow95HmRJhMyquk0lpLeuFAyMUSsCEtXEhRJFhsIVIrTmwnEflvaB5ueG5JWtpg3ikMVa6/WoYlvD4pp87AiaYdocE8kzKO2MHytpEWeIcYt5SFfK7mebJ2V68limja51SIt9ggdRLIPj2CkdxCBQSLaRxAmq2nhJJy6HSteczqOv+S1eb2m0H4jr0w5ESPACNQkAkyg12S1slCMwBgChXwUJAMh/OVTfwZSe2iFG5KkwrF4IxrWN8DlcQjT6uKQ7dAUTZDo2ZDlI9MnmYiIzwwJLuK05ljmnMhxcS9NlKfvT1uHiiSIdDJLLchFT45mbkYjl2KPBkOV8dJjPfjXX/YhODQMPbEDSL0CTUpClZxQDDtU3QYlqUIxbFDggCT8Mo19EFsfqar40FQU62NUVmhByAFFJZO+ZNqJSH3N+l2SoZFfKQmCFCeDdJnr6TTGp5I5nkogkUoIgiZlJqBLCUBNATYTihOwee2wUf34yOSUG456N2yNPmF2Sqmvh2wb883KfxsWArqemVRZJLunwS42FHCwECik32DMFg4ChbaL8OO98N+3z9JGIC0kQQqL2b+l8UrXQgPW+l3cy2jjit9ytGTT19ZzpA2X+W0SLdlMXhM0Z7PvzGrfWs+O07qVJRixFFIDESQHokj1p+O+sBinpuynzSgCiUH444NCW5002IXWeop8mhYSaFzVxMYqGoMz5+KaRhO6R9rS6XNKQ+Syta3NCjQGiQUTydIapMUWJWcxRVYUyLIClWKJziUR0yKNTCMgpaV/tBBDCsuGpRAtk4IJHYYJ2ZCgmOn0gtim5+lQpzWHWQgS06WlxTEaD1NGcpKY7hHprcCABgM2mJIdpuyAKVvju0n7+aidiIFaFlrh1iKfBtVF5I4dKp1rimV+k8wadnrQsYpMXc7vBqtSYViufArtN8pVLn7PoQhUOuFRzXVGC75P/+Uu7HvgSShxBQ7FJQ4iWR0yxZlrFzTZXrCopiYJFyTkwiSZSoE22JLJVzK4Isy4mnSIJfn0OVHd1B+ObSgVfWP6zWL9Pvc6cz99L7cXnOqcHhmjD8YuxqU3KY1FFAg6wrRKRSXJEAzpX0QGZAHfpP9RLK7FCYwMAZEun1V+i4SwZDRgmnQu7OCKWEYKKlJig7EqmWLeRkSFJsaxXHI8x29wwTVjPSB7VdgWeaG25RLlTrHRgEP+CPB4kj9W85ny1ltvxeWXXw4aU04++WTceOONuOmmm7B9+3YsXbr0kKI99thjglz/yle+IkjzP/7xj/j85z+Phx9+GFu2bMlLFG4becE0aaJkPGaR6WlCXcRpsj0w0A9SsskNNDtod67AMs9hWOxenffGsGlLSHNDsRE1bcEiQ7yn72UI+ayP6xwz92ODVXo3Wbr/z4xj1k6qQwe4jHn0Qwa7tLl8M5kCUikIC2YpnRaQREzXxK6T5bLsOWFEu24NsnZmnYs4vaGLzrNW0LLm2TMm2tPIpOd4spgDEsmdn/JRMTWfNBLwYxBRdwRGswzHsjr42jIWNtthd1na3LUeuN+o9Rpm+RiB0iHABHrpsOScGIGKRKCQjwIyo/PSZ+5Co62tcmShBW5a3NZkmEkTZmy8X+8ZCyrIdotkDyd0DPRHEY5btsyJfxGUhMXjWAsnh1xb5qZKGYSGhGSIQ1JM4kKg2GUoTgUKmRBrckJt88LWXge1gwjwuft4LqVcnFftIFBIv1E7UlenJOUkPBZyu6B+2wgmkOyPWuR6fwQpItgHItD9ZIx38mBIBiJSFIHkKIKxERikoUckdMbatrB6SEQ0+dcj0lpJk9dEbtO98ddktm6y+yIHSjtXZsiL/PMggptM4utmUpDdIs5eTyTAyX+9gRT5tBfkjyH82lv0hyG0v4UWPpHadk1o8zs8bjh8Hjgb6uFuaYC7qQGNixfBXecTpDeT3UVWXAkfW8j9RglhnPOsmPCYc4jFCwxDR0T4AR0WRzgbD2XvxUYCwgqHQxpPrJMv0AzR7pCtczoqrd8vD5Llf4tppGCk4oAeA/QEYCQAMyl8mktks0Q2INGOM2FczBQbs7xnboHn5M1MlJeoung8KRGQc5wNkd5HH300fvCDH2TftGHDBlx44YW4+uqrD3n7JZdcIjZv33333dnfzjnnHDQ0NOA3v/lNXqXltpEXTAUnIs3fwGA//L09GBHa66TFTprrliY7dX0u1Ss2ftFBFjlsFKevhWWO7LkdmpS5Jksd9AwresxUKWQBLWUkkDLT86jseQoGjTm0Dyu9IZg2A8s2FYpTExZfaFOw5nYKy5I2rxt2nxv2ei8cTT7IrDzCSiMzNT7+nRFgBLIIMIHOjYERKDMC5SQ7SLRCJxMv33g/wvv70bl+ExRyljeRPJ7IJef+PuE3QTyTTyONTJoSCa5kyXBh4jRNjI/9npOG0pOPvQm+00hbXQ8nYAST0IMJGCEr1kNj5+JeKAEzVlqn36YiwVRkoblmStaCPi2ESZokzFKpbg2azw5bgwtavQuy226ZsiITVjm7Z4W8rMFW5r88fl0hCBTabxSSN6ctHQLlJjy4XUxed+Rygcj0jMZ6Vmt9KGppI8xjIN+ONFoJAloS/7fGLnGW/tW0rrP36DrnniGnnyDfg6TsR9ciBgwaF+X0IawM0Bgpp2PLjy5ZcBGWXWIJGJEIEI5CSibgcLvg9HngbvLB3VwPZ5MPjpZ6uFrrhfZ3qTevzWM1LOhXc79RHdXPhEdl1RORFsJM6ciQME9qke1Eso+kY4uAJ5Om5GNbaLIToS602Z2iz7WmaGSdxPonznPuWdc5v4nkuenTT6e1uzN2Tmizl1DnE//larBn9detu2ktvoxeeyatiDMaggJ267mxvCytvPFlzdhZsbTPs2XJyJVT9ozU2Vikt8zeUtlJZrK2QmLIKqDaFDHm2F12OHwuuBrqYK/zQPHYIbsdUDwOyF4nZDe57bBDIgfzHOYFAR5P5gX2gl6aSCTgcrlw2223jTPBfsUVV+Dpp5/Ggw8+eEh+pJX+0Y9+VByZ8O1vf1uYfd+3z3IfOFPgtjETQqX/nbSqaRwis9rJWBTJWAyJWEycZ2LSbk9M+I3uZdKmYjGYccsapQotTbbnku7pc8ki6MkMuXD3ONm4MeW4lB5d0irp1tXYiJQ7lo0bh8QwlplH0bhlzajEvynvW/MskX9u+uwzgLAEJqypWYes0jWtFxLprUEjS1geBzS3CzavCw6vB3aPBw63G3Y3xdah2sllWGkVfUrfSio7R+43Krt+uHSMQCUhwAR6JdUGl6XmESg32UGAFvNRQB/DwsxulQdBtucQ6+KciPcQmae3zEQJIp/I+vS5MB1ls+5nz+1pYp9J7ypvEVz8fBEopt/IN29OVzoEyk14cLsorO7IrF9qOJbVVKfzrLn4tBn6rGn7XFP2goCe3Oy9lT7HhH1Gy5pMH2bu55rG53GrsErj1CVHgPuNkkNa8gzLRXjE43HQkQnUNpYsWQK/3w+fz1dyuRZChnoqifDoaFqT3SLbw/7RtMldawE/S2QLH+E5hHf6N2uhP0N4p4nxNEExZuI2k1fGuHp60Z7I6ewCvrgQsGfIb+t8POktSPrsmn/uM2NEAM1DFVWFompQNE3EKsXinPyr26Dm/CbuH5KO7qniPrkt4VD9CPB4Uvl12N3djcWLF+ORRx7BSSedlC3w17/+ddx8883YsWPHIULYbDb87Gc/w9ve9rbsb7/+9a/xrne9a9yYkfsgjyeV3xYKKaHwW55MZsn2MRI+hkQ8CiLaiZRPJeJj41p6TMuOc+Ka3HSkiW8xrpH7DutajIV5P2ONhZmxRYw/mTFHs42NR+mxR9Vs2d8zY5W4l/3dGqPIDSST3oW0jLlNy2PK3OLLuTMCtYQAE+i1VJssS8UjUG6ygwDhj4KKbxZcQEag4hDgfqPiquSQApWL8Mh9MbeLym8XXEJGoNIQ4H6j0mrk0PKUi/D44he/iC996UuHFIAJ9MpvI1xCRqASEODxpBJqYfoyZMaTRx99FCeeeGI28de+9jX84he/wEsvvXRIBkSgE7l+6aWXZn/71a9+hXe/+92IxWKTvpDHk8pvC1xCRqDSEeAxpdJriMvHCFQOAkygV05dcElqHIH5IDsIUv4oqPGGxeIxAnOAAPcbcwBqibMsB+HB2h0lrjTOjhFYgAjweFL5lV4uwoPHlMpvC1xCRqCSEeDxpJJrxypbuda8eDyp/LbAJWQEKh0BHlMqvYa4fIxA5SDABHrl1AWXpMYRKAfZQRDyZKLGGxKLxwiUAQGeTJQB5Fm+ohyEB2t3zLKS+HFGgBHgjZxV0AbKRXhMhIK/NaqgcXARGYEKQoD7jAqqjGmKQlYXjznmGNxwww3ZVBs3bsQb3vAGXH311Yc8eckllyAYDOKuu+7K/nbuueeivr4ev/nNb/ISmttGXjBxIkaAEchBgPsNbg6MACOQLwJMoOeLFKdjBGaJQDnIDioiEx6zrCh+nBFgBJjwqII2UA7CgzdkVUFD4CIyAhWOAC9OVXgFpYvHhEd11BOXkhFYyAjweFIdtX/rrbfi8ssvxw9/+ENhxv1HP/oRfvzjH+OFF17AsmXL8G//9m/CT3qGTCdz76eddhrIzDuR7P/3f/+Hz372s3j44YdBY1M+gdtGPihxGkaAEchFgPsNbg+MACOQLwJMoOeLFKdjBGaJQDnIDioiEx6zrCh+nBFgBJhAr5I2UG7CgyeZVdIwuJiMQAUhwP1GBVXGNEVhwqM66olLyQgsZAR4PKme2ift8+uuuw49PT047LDD8O1vf1uQ5BROP/10LF++HD/72c+yAv3ud78TpPnu3buxatUqQaZfdNFFeQvMbSNvqDghI8AIpBHgfoObAiPACOSLABPo+SLF6RiBEiBQbrKDiswfBSWoOM6CEVhgCHC/UR0VXm7Cg9tFdbQLLiUjUEkIcL9RSbUxfVmY8KieuuKSMgILEQEeTxZirecnM7eN/HDiVIwAIzCGAPcb3BoYAUYgXwSYQM8XKU7HCJQAgXKTHUygl6DSOAtGYAEiwJOJ6qn0chIe3C6qp11wSRmBSkGA+41KqYnKKwe3jcqrEy4RI1DJCHCfUcm1M79l47Yxv/jz2xmBakSA+41qrDUuMyMwPwgwgT4/uPNbFzAC5SQ7mEBfwA2NRWcEZoEATyZmAV4NP8rtooYrl0VjBOYIAe435gjYGsiW20YNVCKLwAiUEQHuM8oIdpW9ittGlVUYF5cRqAAEuN+ogErgIjACVYIAE+hVUlFcTEagWAT4o6BY5Pg5RmDhIsD9xsKt++kk53bB7YIRYAQKRYD7jUIRWzjpuW0snLpmSRmBUiDAfUYpUKzNPLht1Ga9slSMwFwiwP3GXKLLeTMCtYUAE+i1VZ8sDSNwCAL8UcCNghFgBApFgPuNQhFbGOm5XSyMemYpGYFSIsD9RinRrK28uG3UVn2yNIzAXCPAfcZcI1y9+XPbqN6645IzAvOFAPcb84U8v5cRqD4EmECvvjrjEjMCBSHAHwUFwcWJGQFGAAD3G9wMJkOA2wW3C0aAESgUAe43CkVs4aTntrFw6polZQRKgQD3GaVAsTbz4LZRm/XKUjECc4kA9xtziS7nzQjUFgJMoNdWfbI0jMAhCPBHATcKRoARKBQB7jcKRWxhpOd2sTDqmaVkPZnyFQAAIABJREFUBEqJAPcbpUSztvLitlFb9cnSMAJzjQD3GXONcPXmz22jeuuOS84IzBcC3G/MF/L8Xkag+hBgAr366oxLzAgUhAB/FBQEFydmBBgB1kDnNjAFAjyecNNgBBiBQhHgfqNQxBZOem4bC6euWVJGoBQIcJ9RChRrMw9uG7VZrywVIzCXCHC/MZfoct6MQG0hwAR6bdUnS8MIHIKA3+9HfX09urq64PP5GCFGgBFgBGZEgCYTS5YswejoKOrq6mZMzwkWBgI8niyMemYpGYFSIsDjSSnRrK28eEyprfpkaRiBuUaAx5O5Rrh68+fxpHrrjkvOCMwXAjymzBfy/F5GoPoQYAK9+uqMS8wIFITAgQMHBBHGgRFgBBiBQhGgjTednZ2FPsbpaxQBHk9qtGJZLEagDAjweFIGkKvsFbt378aqVauqrNRcXEaAEZhvBHg8me8aqLz38xyl8uqES8QIVAsCPKZUS01xORmB+UOACfT5w57fzAiUBQHDMNDd3Q2v1wtJksryzkp/SWanIWvll7emGPfy4p15WzG4m6aJYDCIRYsWQZbl+Sk4v7XiEKjW8aSYv4GKA3+aAtWyfLUsG1XpQpFv+/btWLduHY8n1dSxlKGsZOWmoaEB+/fvXzDWbmr9b36yZsMyLxwLcHNd1zw/KUPHXKWvKHSOMtdtdT5hrFXZalWuWp4PVHqd8Zgynz0Vv5sRqC4EmECvrvri0jICjEAJEGBfNyUAsYgsGPciQCvBI4x7CUDkLKoagVr/G6hl+WpZtsyCGbnJINOjtehmp9brr6o7xgoo/EJsHyzzwiCTF2I9L4QxrQK6TS5CiRCo5b/RWpWtVuWq5b6zluusRF0RZ8MIMAJVggAT6FVSUVxMRoARKB0C/CFXOiwLyYlxLwSt0qVl3EuHJedUnQjU+t9ALctXy7LV8oJZpqeo9fqrzh6xckq9ENsHy8wEeuX8BZa+JAuxfZceRc6xHAjUclutVdlqVa5ang/Ucp2Vo5/idzACjEDlIMAEeuXUBZeEEWAEyoQAf8iVCegJr2HcGff5QYDfutARqPW+p5blq2XZannBjAn0hd7r5id/rf99T4YCy8wEen5/HdWZaiG27+qsKS51LbfVWpWtVuWq5flALdcZ96KMACOwsBBgAn1h1TdLywgwAgDi8TiuvvpqfPrTn4bdbmdMyoQA414moCe8hnGfH9z5rZWDQK3/DdSyfLUsG/2FsHyV009wScqPQK23/8kQZZkXxrxrIdbzQhjTyt9L8hvnCoFa/hutVdlqVa5a7jtruc7mqm/ifBkBRqAyEWACvTLrhUvFCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjUGYEmEAvM+D8OkaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGIHKRIAJ9MqsFy4VI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMQJkRYAK9zIDz6xgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQqEwEm0CuzXrhUjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAmVGgAn0MgPOr2MEGIG5QeAf//gHvvGNb+Bf//oXenp68Mc//hEXXniheFkymcRnP/tZ3HXXXdi9ezfq6urwmte8Btdccw0WLVqULdDIyAg+/OEP4/bbbxf3LrjgAnzve99DfX393BS6BnItBe7Lly/Hvn37xqFx1VVXifrhMDUC02FPT33xi1/ELbfcgq6uLthsNhxzzDH42te+hi1btnCb54ZVNQjMtp3v3bsXX/nKV/D3v/8dvb29os+/7LLL8JnPfEb8XUwVTj/9dDz44IPjfr7kkkvE31Spwmxlo3IU03+apokvfelL+NGPfgQa96hP+J//+R9s2rSpVKKJfGYr3wMPPIAzzjhj0jI9/vjjOO644yb9rRx1l498uYV73/veJ/D+9re/jY985COz6oPj8Tg+/vGP4ze/+Q2i0SjOPPNM3HDDDejs7Cxr/c0kXyX/7ZUUqAWY2Ux/27XaNmYrd6X32ZM15dnKXOn9eDEyv/Od78TNN9887lEaR//5z39m7xXTT5drbJ4LmYeHh/GFL3wB99xzj5h3NDc3i3k4fX/RvHuqkA+WC7CLZZFngcBMfVYhbY7+Jl/3utfhL3/5y7i1pVkUr+hHSyXXY489JuZAW7duhaZpOPLII3H33XfD6XQWXbbZPFgKuWh+94lPfAL33nsvgsEg1q1bh//+7//GxRdfPJuizfrZmWSjF7z44ougdS+acxqGIeZiv/3tb7F06VLx/mLGklkXfIYMZitXsePFXMvF+TMCjAAjMB0CTKBz+2AEGIGaQIA+/B955BEcffTReNOb3jRukuP3+8UH9Hve8x4cccQRgjCgBexUKoUnn3wyK/+5556LAwcOiEVuCu9973sFOXHHHXfUBEZzIUQpcCeM3/3ud4v6yQSPxwM6OEyNwHTY01O//vWv0draipUrVwqShYib2267DTt37kRLS4vImNs8t7BKR2C27ZwWvW699VZceumlWL16NZ5//nnR11x++eX45je/OaX4RMKuXbsWX/7yl7NpaHFpuoXgQrGcrWz0vmL6z2uvvVZspvnZz34mZPzqV78qyO4dO3bA6/UWKsaU6WcrXyKRAC2y5IbPfe5zuO+++8RmOEmSJn13OeqOXjyTfJnC/elPfxIbmgYGBsQCXy6BXkwf/J//+Z/iu4Tqr6mpCVdeeaXAiTYQKopStvqbSb5K/tsrGUgLNKPZtv1qbRuzlbvS++zJmvNsZa70frwYmYmA6+vrw09/+tPs47Qhr7GxMXtdTD9drrF5LmSmbysi0AmbjRs3io3R73//+7F582b87ne/m7KnzAfLBdrNsthFIjBTn1VIm6O5M5GylGeuckaRRZvVY6WQi8jzc845B5/+9Kfx+te/XmwkfuaZZ8S53W6fVfmKfbgUcp111lmg9b7vf//7YvMOrYFQf0TrfEcddVSxRZv1czPJtmvXLhx//PFiHYzmqTTHJEKdNgjTGg6FYsaSWRd8hgxmK1ex48Vcy8X5MwKMACMwHQJMoHP7YAQYgZpDgBbVZ5rkPPHEE+KDlSb4tMOTPlZpwk/aAxkNXTo/8cQT8dJLL4mdrBymR6AY3ClHIoCIUMglFRjrwhDIB/tAICAmZkQ+kcYit/nCMObU849AMe18slKTtZIf/OAHgoSdKhAJS1oZ119/fVkEL1a2QvtP0qYhLXzqb0njgQJpN7S1tYEW70lTei5CsfLlloWsyZCW9Qc/+EEQkV4pdUflmEq+gwcPim+Kv/71rzjvvPPGjXXF9MG0QEgboH7xi1+ALCJQ6O7uxpIlS4SVnde+9rVzUX1FyVctf3tzAtgCyrSYtl8LbaNYuaulz56sjoqVuVr68XxlJgJudHQUtDlqslBMPz1fY3OpZJ4sH9q0SxZ/wuEwVFWdFKuZsFxAXSmLOgcITNZn5dvmiFg+//zzQWtGHR0dM64tzUHxp8yyWLlOOOEEENlMliEqMRQrFyld0LyONkdnAm0wve666wQ5XQlhMtne+ta3CisA9E1fqrGk3LIWI1ex40W5ZeP3MQKMACOQiwAT6NweGAFGoOYQyGehnkjEs88+WyyA+Hw+/O///i8+9rGPievcQObbaffxu971rprDqdQCFYM7lYEWE4nAIS0VIgHe/OY3Cy296cwrl7rs1Z7fTNgTtt/97neFpilpoNPubG7z1V7rC6/8xbTzyVAilx6kAZlrgWRiOiLQX3jhBdCiNpHLpClM2gyl1NAe90E+w8avyf6Gi+k/adPAqlWr8NRTT43TynjDG94g3JVMNEtbqlZWirr7/e9/j7e85S0g0+A0VkwVyl13VI7J5CNTjOQuhrC94oorDtksVkwfTK4IaAMUaZw3NDRkISDrOmQul0zzz0UoRr5q+dubC7wWUp4LtW0UK3eh37zz1WdP1oaLlTk3r0rux/OVmQg4Is9pnkLj5qte9Sph1SWjMVhMP13p9TyTzJNhd9NNNwlNV7K+MlUoJt+F1L+yrLNDYCpCdrq/X3pjJBLBsccei6uvvlp8w830DTu7Uhb+dDFy9ff3i/kMrQeQCyDSfl6/fr3ou0455ZTCCzEHTxQjFxWDtOppk87Pf/5z0SeTCfT/+I//ENr1NOephDBRNpojkGLDJz/5STz88MPYtm0bVqxYIfrMjBvKYsaScstajFzFjhfllo3fxwgwAoxALgJMoHN7YAQYgZpDYKZJTiwWExMFmjT88pe/FPJ//etfF+ZQX3755XF4kHlbIs/pY5bD9AgUgzvlSBsUyPQ+kQHk15awpskqLbxwyA+BqbD/85//DNrdTAsBtHueFgwyfoO5zeeHLaeqHASKaecTS08LRtTffOtb3xKLK1OFH//4x2Iho729XZh9p36JTMCTKce5CMXKVmj/+eijj+Lkk08GaUaTJnomkMsSsshCmtJzEYqVL7cs5IeSAmlaTxfKXXdUlsnko4XX+++/X2BKv0/UPC2mDyazlPRNQpvOcgNtCKT2euONN85F9RUlX7X87c0JYAso02Lafi20jWLlrpY+e7ImXKzM1dKP5yszuYUhjcdly5Zhz549wiIKuQUjNxpkBrmYfnq+xuZSyTwxn6GhIfGtRRqhtHl3qjATlguoK2VR5wCByfqsfNocWWPSdT27FjHTGsccFH3aLIuRK2NZkVxNkAsrsrJFhPMNN9wg5jlr1qwptxiHvK8YuSgTsvpBVpnoe5uIdJfLJVxHkLZ9pYSJspHfdlqbobJSH3nGGWeIzd3ku53mDrQxq5ixpNzyFiNXseNFuWXj9zECjAAjkIsAE+jcHhgBRqDmEJhukkMmYEnDef/+/XjggQeE9jkFWsgmzTvyAZsbaDJBpp8+9alP1RxOpRaoGNwnKwNpp5DP+sHBQeHflcPMCEyFPZlN7OnpEVgSqUQ7mbdu3Sq0ZLjNz4wrp6gsBIpp57kSkKlrWpCgo9ANOrQwTtooFNOicKnDbGXLlGem/jOzSE9Y0MJNJpBf+K6uLrF4MxdhtvIdOHBAkBWkVfKmN72poCLOdd1RYSbKR+8kk+2k6Z/ZqDAZgV7od8dUi2m0SEhaNj/84Q8LwibfxMXIVy1/e/liwOkmR2Chto3Zyl3pffZktT1bmSu9H89H5snS0Hc2jU+33HILLrrooilJj+n66fkam0slc24+5DKKNnXRxujbb79dmCjON0zEMt/nOB0jUKq2TG32yiuvFBrBtFFmsm+8+UY7H0J/4t9Spo+hDcG0BpAJmzdvFt+rtOlzvkMxclGZP/ShDwklDJKLrOyRwgBtVnvooYdw+OGHz7dYk7YhmoctXrxY+D6nb/tMuOCCC+B2u4WVgPn65i8EsIl1lo9cpRovCiknp2UEGAFGYLYIMIE+WwT5eUaAEag4BKb6+CbynMy/kpk8IhJzydliTKlWnODzXKBicJ+syKQZSX5uc/3Rz7NoFf/6fCacJARtCPn3f/93oU3Lbb7iq5ULOAGBYtp5Jgua0NPufvJHTdZGZFkuCF8y5U6aZbm+pwvKYIbEs5EtN+uZ+s/5MhM7W/nIX+P3vvc9oTlfyGI8YTPXdUfvmCjf9ddfL9zC5LYz0maiazI/T2boi+mD58ucYzHyVcvfXin/jhdiXgu1bcxG7mrosydry7OVudL78XxknupvnL6vyarNVVddJeaYhbramK+xuVQyZ/IJBoN47WtfK7QqyQqWw+EouFvMxbLgh/kBRiAHgUK+PTN/vx/5yEeEmfPJvt9OPfVUoYAx36EYuchaxsqVK8U85rLLLsuKQJrbpLX9q1/9ar7FyttUfm4fQZbFyEIYadFv2rQpKwO5UKL7c7WxtFCwJtYZueYiopzcg5FrsUygMYRMuj/yyCNFjSX/v737CbGybOMA/GAkRUlGxKxqF1lJKZPSPyKqhS5C24WRSW1ywqgoapctgmpRSUn0DyPal7RyISkthCQKJAuKAmlbGURZGX3cL5z5pmEaz8w5zn3POde7+b6YmfPcz3W/vs8553fe5yy0rkF/fzHzGuZ6MWj9/p4AAQL9CgjQ+5XyewQILBuBuV5U9MLzb775ptsW6dJLL/3XfL766qt29dVXd3fnbty4sftZ/P8bbrihff311+3KK69cNvPPKnQx7nPVGm+43HXXXd12wpdffnnWdJbVuP2+kI4XkvGieffu3c05v6xarNj/2CZ7LpiZ53n8PELXCM8nJye7r+0455xzFuwZb8zEXQyHDx9ut95664L//kx/sJh/w4u5fkaYHHdEP/bYY9337sURb+LErhQvvPBCi20rz8YxyPyi5ri7Ou7si20nF3qc7d5FPbPnF9vXxt0/M48IFWI729iCPZ5TLOYaHNtUxvOXOI/jA4FxxDjxobPY2j7GOBvHYua3XP7tnQ2vcXrMcT03Fjvv2efGmZ7zZl2z5zqHB5nzcriO9zPnuX4nrvdxJ+Gbb77Ztm/f3m0nvNDrdOU+9zPn+J248zzWoPiwYaxHEaIv9JhtudC/9/sEZgr089xz9jkXW2vHzm0zj3j+v2fPnu79ifi6nOxjMfOKa0w8V4wP0seHmXrH+vXr2+bNm/91V3rW/BYzr2PHjrW4i/748ePtqquumi49rkWxM0hclyscc83tpptu6l7fxIcaesfdd9/dzj///O7u88WsJUs918XMa1jrxVLP1XgECIy3gAB9vPtv9gRGRuDXX39t3377bTefeCHw0ksvdYFJfM9ThAWx5WtspRpvVE1MTEzPO36+cuXK7r/jxUPcpdj7DtH4Tth44v3RRx+NjNOwJzKo+5EjR7o7zaNXF110UTt69GgX7MRWyfv37x92uSP1ePPZx+4Kzz33XIttwGKb5nhzIL7jLEKX2Fq49wlt5/xInRIjOZlBz/Petu3xYZz4rr+Z4Xl8v3kcEbDH3WLx8/gAVdzNEHdixHdux1aA8aZMbOcYb2jENWoxAfxczRl0bv1eP9esWdNtzRhvysQRQXn89759+7pdKWLLw7ijJr7CZNWqVUM7jwadX6+QgwcPtriTZPabY5m9i7Hnm99cH/6avYV7P887Zp+b8Tc7d+7snsvETgrxHOaJJ57orvFxbR/WuTmM+VX+tze0k3xMH2jQc3+5nhuDzrv6NXuh61S/17l43KrX8YXOOa658SHUeF0Zz69jN5H4ztr4arD4UFRvDe3nOp21Np+NOced57FF/W+//dY++OCD7s7K3hEfJuitTTPnHP+e+rEc08usaS9SYL7rdL//fmcP3U+wu8hy+/6zYcwrdkeKO57feeed7jvQ42uE4oOp8UHTCHIzjkHnFTfJxE0wcT2OucR7ILGF+5NPPtk9V47XclnHmZ4zxLUydgDYu3fv9Hegxw4I8Zrslltu6cruZy1Z6vkNOq9+14ulnpfxCBAgMJ+AAN35QYDASAjEE80IYWcf999/f/fi/L8+LRx3o992223dn/3000/tkUce6b6vLY4IH1977bW2evXqkTA6G5MY1D0+1DA1NdXd5f/HH390H1i45557ujsjF3PnwtmYY9XHnM8+tivbtm1bt4tC77vkN2zY0G0RFv/bO5zzVburrp7AoOd5hIxxx+9cR9yNEUe8AR5rRG89iO8Cj50a4g2leJMgttyO7weMN53izbdhHYPOrd/rZ7zxF2H5jh07utJj3s8++2z3YbGff/6529Y+3rxZu3btsKbWPc6g8+sVE9ey2JEktjOcfWT17kzzi/Nu9jFXgH6ma/Ds+cVjnjp1qntjMO5O+f3337sPf8QHpOI8HeYxX//6mV/lf3vDdBrHxxrXc2PQeVe/Zs91Lg865+rX8YXO+fXXX29bt27tvh/55MmTXWgTrz/jjs6Z1+B+rtNZa/PZmPN/nScxVmwdHetfHDPnHOtXP5bjeI0158ULzHfN6vff7+zRKwTow5rX888/3z3nj+ef1113XXvxxRenw9rFqy/+L4cxr9hh8umnn+62Po/XbbETWXy4NHZ9yjz6WT/j65ziQ80//PBDtztVvD7bsmXLdNn9rCVLPcdB59XverHU8zIeAQIE5hMQoDs/CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAfAj0n97tNzgIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMAYCwjQx7j5pk6AAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC/xcQoDsbCBAgsMwF4jvc161b11555ZVlPhPlEyBAgEC2gDUluwPGJ0CAwGgIWE9Go49mQYAAgWwB60l2B4xPgACB8RUQoI9v782cAIEREfBiYkQaaRoECBAoIGBNKdAEJRAgQGAEBKwnI9BEUyBAgEABAetJgSYogQABAmMqIEAf08abNgECoyOQ8WLizz//bCtXrhwdRDMhQIAAgU7AmuJEIECAAIFhCFhPhqHoMQgQIEDAeuIcIECAAIEsAQF6lrxxCRAgMCSBeDFx7bXXtvPOO6+9/fbbXbD90EMPtd27d3cjnDhxou3atasdPHiwrVixom3atKm9+uqrbWJiovv5jh072smTJ9uHH344XdGjjz7avvjii3bo0KHpQGXt2rXdY7/33nvtmmuuaYcPHx7SDDwMAQIECFQRsKZU6YQ6CBAgsLwFrCfLu3+qJ0CAQBUB60mVTqiDAAEC4ycgQB+/npsxAQIjJhAvJj7//PP2+OOPt23btrUjR450ofiBAwfanXfe2SYnJ9sFF1zQfUf66dOn29TUVFu1atV0ON5vgP7ZZ5+1nTt3tgcffLD9888/bc2aNSMmaToECBAgYE1xDhAgQIDAMASsJ8NQ9BgECBAgYD1xDhAgQIBAloAAPUveuAQIEBiSQLyY+Pvvv9snn3wy/YgbN25st99+e7vjjjva5s2b2/fff98uu+yy7ufHjx/v7iD/9NNP24YNG/q+A/2XX37pgnoHAQIECIyugDVldHtrZgQIEFhKAevJUmobiwABAqMrYD0Z3d6aGQECBKoLCNCrd0h9BAgQOINAvJiIQHzv3r3Tv7lly5Z2ySWXtHXr1rWXX365C9BnHhdffHHbs2dP2759e98B+hVXXNHeeust/SBAgACBERawpoxwc02NAAECSyhgPVlCbEMRIEBghAWsJyPcXFMjQIBAcQEBevEGKY8AAQJnEogXExGUxxbtvWPr1q1t9erVbf369V1Q/t133/3rYeJn8T3o9913X3vggQfajz/+2Pbv3z/9Ow8//HD78ssv//Ud6LPHOFNdfk6AAAECy0/AmrL8eqZiAgQIVBSwnlTsipoIECCw/ASsJ8uvZyomQIDAqAgI0Eelk+ZBgMDYCsz3YuLee+/9zy3cjx492q6//vr21FNPtY8//rjb0r133Hzzze3cc88VoI/tWWXiBAiMq4A1ZVw7b94ECBAYroD1ZLieHo0AAQLjKmA9GdfOmzcBAgTyBQTo+T1QAQECBAYSmO/FxL59+9rk5GS78MILuzvUT58+3aamprr/PnToUDfugQMHupD93XffbTfeeGN7//33u9+Nu9d7vzPXGAMV7Y8JECBAoKSANaVkWxRFgACBZSdgPVl2LVMwAQIESgpYT0q2RVEECBAYCwEB+li02SQJEBhlgfleTEQofuLEibZr16528ODBtmLFirZp06Zu+/aJiYlplmeeeaa98cYb7dSpU92W7n/99Vc7duyYAH2UTxxzI0CAwBwC1hSnBQECBAgMQ8B6MgxFj0GAAAEC1hPnAAECBAhkCQjQs+SNS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKlBATopdqhGAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIEhCgZ8kblwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKCQjQS7VDMQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCQJSBAz5I3LgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUEhCgl2qHYggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgS0CAniVvXAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJSBAL9UOxRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAloAAPUveuAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSkCAXqodiiFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBLAEBepa8cQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECglIAAvVQ7FEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECWQIC9Cx54xIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAKQEBeql2KIYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEsgQE6FnyxiVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBUgIC9FLtUAwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIZAkI0LPkjUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECpQQE6KXaoRgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQyBIQoGfJG5cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIESgkI0Eu1QzEECBAgQIAAAQIECBAgQICItjLfAAAQ4UlEQVQAAQIECBAgQIAAAQIECBAgkCUgQM+SNy4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlBIQoJdqh2IIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIEtAgJ4lb1wCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKCUgQC/VDsUQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJaAAD1L3rgECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEpAgF6qHYohQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSwBAXqWvHEJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoJSAAL1UOxRDgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlkCAvQseeMSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCkBAXqpdiiGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBLIEBOhZ8sYlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVICAvRS7VAMAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGQJCNCz5I1LgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqUEBOil2qEYAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEMgSEKBnyRuXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBEoJCNBLtUMxBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIJAlIEDPkjcuAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJQSEKCXaodiCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCBLQICeJW9cAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECglIEAv1Q7FECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECWgAA9S964BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBKQIBeqh2KIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEsAQF6lrxxCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCUgAC9VDsUQ4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJZAgL0LHnjEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEApAQF6qXYohgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSyBAToWfLGJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFSAgL0Uu1QDAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhkCQjQs+SNS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKlBATopdqhGAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIEhCgZ8kblwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKCQjQS7VDMQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCQJSBAz5I3LgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUEhCgl2qHYggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgS0CAniVvXAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJSBAL9UOxRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAloAAPUveuAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSkCAXqodiiFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBLAEBepa8cQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECglIAAvVQ7FEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECWQIC9Cx54xIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAKQEBeql2KIYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEsgQE6FnyxiVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBUgIC9FLtUAwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIZAkI0LPkjUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECpQQE6KXaoRgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQyBIQoGfJG5cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIESgkI0Eu1QzEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkCUgQM+SNy4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlBIQoJdqh2IIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIEtAgJ4lb1wCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKCUgQC/VDsUQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJaAAD1L3rgECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEpAgF6qHYohQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSwBAXqWvHEJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoJSAAL1UOxRDgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlkCAvQseeMSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCkBAXqpdiiGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBLIEBOhZ8sYlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVICAvRS7VAMAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGQJCNCz5I1LgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqUEBOil2qEYAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEMgSEKBnyRuXAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBEoJCNBLtUMxBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIJAlIEDPkjcuAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECJQSEKCXaodiCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQCBLQICeJW9cAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECglIEAv1Q7FECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECWgAA9S964BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBKQIBeqh2KIUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEsAQF6lrxxCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKCUgAC9VDsUQ4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJZAgL0LHnjEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEApAQF6qXYohgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSyBAToWfLGJUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFSAgL0Uu1QDAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhkCQjQs+SNS4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKlBATopdqhGAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIEhCgZ8kblwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRKCQjQS7VDMQQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCQJSBAz5I3LgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAiUEhCgl2qHYggQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgS0CAniVvXAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJSBAL9UOxRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAloAAPUveuAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSkCAXqodiiFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBLAEBepa8cQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECglIAAvVQ7FEOAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECWQIC9Cx54xIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAKQEBeql2KIYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEsgQE6FnyxiVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBUgIC9FLtUAwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIZAkI0LPkjUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECpQQE6KXaoRgCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQyBIQoGfJG5cAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIESgkI0Eu1QzEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkCUgQM+SNy4BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIlBIQoJdqh2IIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAIEtAgJ4lb1wCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQKCUgQC/VDsUQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJaAAD1L3rgECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEpAgF6qHYohQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSwBAXqWvHEJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoJSAAL1UOxRDgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlkCAvQseeMSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCkBAXqpdiiGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBLIEBOhZ8sYlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgVICAvRS7VAMAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGQJCNCz5I1LgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAqUEBOil2qEYAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEMgS+B/nv7rrjwONVwAAAABJRU5ErkJggg==\" width=\"2000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
- "importance = pd.read_csv('importances.csv', index_col = 0).loc[0]\n",
- "std = pd.read_csv('stds.csv', index_col = 0).loc[0]\n",
- "ind = pd.read_csv('inds.csv', index_col = 0).as_matrix()[0,:].astype(int)"
+ "n_rows = 3\n",
+ "n_cols = 4\n",
+ "fig, ax = plt.subplots(n_rows,n_cols,figsize=(20,15))\n",
+ "matplotlib.rcParams.update({'font.size': 10})\n",
+ "\n",
+ "for month in range(1,13):\n",
+ " row = (month-1) // n_cols\n",
+ " col = (month-1) % n_cols\n",
+ " df = importances_all.loc[(importances_all.test_month == month)][['z','x','y','medDoG','smallDoG','big_EW','big_NS']]\n",
+ " \n",
+ " df.plot(ax=ax[row,col])\n",
+ " # ax[row,col].set_xticks(df.index)\n",
+ " # ax[row,col].set_xticklabels(np.asarray(range(5,22)).astype(str))\n",
+ " ax[row,col].set_xlabel('hour', labelpad=0)\n",
+ " ax[row,col].set_ylabel('importance')\n",
+ " ax[row,col].set_title('%s' %calendar.month_name[month])\n",
+ "\n",
+ " # Shrink current axis by 20%\n",
+ " box = ax[row,col].get_position()\n",
+ " ax[row,col].set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
+ "\n",
+ " # Put a legend to the right of the current axis\n",
+ " if month == 8:\n",
+ " # Put a legend to the right of the current axis\n",
+ " ax[row,col].legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
+ " else:\n",
+ " ax[row,col].legend([])\n",
+ "\n",
+ "#plt.savefig('importance_hourly')\n",
+ "plt.show()"
]
},
{
"cell_type": "code",
- "execution_count": 128,
+ "execution_count": 88,
"metadata": {
- "collapsed": true
+ "scrolled": false
},
- "outputs": [],
+ "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, fig.canvas.height);\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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+ ]
+ },
+ "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": [
+ "\n",
+ "matplotlib.rcParams.update({'font.size': 11})\n",
+ "\n",
+ "for month in [10]:\n",
+ " fig, ax = plt.subplots()\n",
+ " \n",
+ " df = importances_all.loc[(importances_all.test_month == month)][['z','x','y','medDoG','smallDoG','big_EW','big_NS']] #'DoG_m','DoG_s','EW_m','NS_m']]\n",
+ " hrs = importances_all.test_hour.loc[df.index].astype(int)\n",
+ " \n",
+ " df.plot(ax=ax, linewidth = 1.5)\n",
+ " ax.set_xticks(df.index)\n",
+ " ax.set_xticklabels(hrs)\n",
+ " ax.set_xlabel('hour', labelpad=0)\n",
+ " ax.set_ylabel('importance')\n",
+ " plt.title(\"Feature importance per hour (%s)\" %calendar.month_name[month])\n",
+ " # Shrink current axis by 20%\n",
+ " box = ax.get_position()\n",
+ " ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
+ "\n",
+ " # Put a legend to the right of the current axis\n",
+ " ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
+ "\n",
+ "# plt.tight_layout()\n",
+ "plt.show()\n",
+ "# plt.savefig('importance_jun.png', dpi = 300)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 92,
+ "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, fig.canvas.height);\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=\"550\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "df = importances_all.loc[(importances_all.test_month == 12)][['z','x','y','medDoG','smallDoG','big_EW','big_NS']]\n",
+ "matplotlib.rcParams.update({'font.size': 12})\n",
+ "\n",
+ "fig, ax = plt.subplots(figsize = (5.5, 5))\n",
+ "plt.title(\"Feature importance per hour (Dec)\")\n",
+ "df.plot(ax=ax, linewidth = 2)\n",
+ "ax.set_xticks(df.index)\n",
+ "ax.set_xticklabels(np.asarray(range(6,22)).astype(str))\n",
+ "ax.set_xlabel('hour')\n",
+ "ax.set_ylabel('importance')\n",
+ "\n",
+ "# Shrink current axis by 20%\n",
+ "box = ax.get_position()\n",
+ "ax.set_position([box.x0, box.y0, box.width , box.height])\n",
+ "\n",
+ "# Put a legend to the right of the current axis\n",
+ "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
+ "# ax.legend('')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.savefig('importance_dec.pdf', dpi = 300)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 84,
+ "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, fig.canvas.height);\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=\"550\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "df = importances_all.loc[(importances_all.test_month == 6)][['z','x','y','medDoG','smallDoG','big_EW','big_NS']]\n",
+ "matplotlib.rcParams.update({'font.size': 12})\n",
+ "\n",
+ "fig, ax = plt.subplots(figsize = (5.5, 5))\n",
+ "plt.title(\"Feature importance per hour (Jun)\")\n",
+ "df.plot(ax=ax, linewidth = 2)\n",
+ "ax.set_xticks(df.index)\n",
+ "ax.set_xticklabels(np.asarray(range(3,22)).astype(str))\n",
+ "ax.set_xlabel('hour')\n",
+ "ax.set_ylabel('importance')\n",
+ "\n",
+ "# Shrink current axis by 20%\n",
+ "box = ax.get_position()\n",
+ "ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
+ "\n",
+ "# Put a legend to the right of the current axis\n",
+ "# ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
+ "ax.legend('')\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.savefig('importance_jun.pdf', dpi = 300)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 122,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "131 5\n",
+ "132 6\n",
+ "133 7\n",
+ "134 8\n",
+ "135 9\n",
+ "136 10\n",
+ "137 11\n",
+ "138 12\n",
+ "139 13\n",
+ "140 14\n",
+ "141 15\n",
+ "142 16\n",
+ "Name: test_hour, dtype: int64"
+ ]
+ },
+ "execution_count": 122,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Feature importances (all)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:3: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
+ " This is separate from the ipykernel package so we can avoid doing imports until\n"
+ ]
+ }
+ ],
+ "source": [
+ "importance = pd.read_csv('../results/importances.csv', index_col = 0).loc[0]\n",
+ "std = pd.read_csv('../results/stds.csv', index_col = 0).loc[0]\n",
+ "ind = pd.read_csv('../results/inds.csv', index_col = 0).as_matrix()[0,:].astype(int)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "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, fig.canvas.height);\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=\"2000\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"fig, ax = plt.subplots(figsize=(20,15)) \n",
"\n",
"plt.title(\"Feature Importances (RF, 500 trees)\")\n",
"ax.barh(range(len(importance)),importance[ind], color=\"r\", alpha=0.6, align=\"center\")\n",
"ax.set_yticks(range(len(importance)))\n",
"ax.set_yticklabels(importances.columns[ind], minor=False)\n",
"ax.set_xlabel('importance')\n",
"\n",
"for i, v in enumerate(importance[ind]):\n",
" ax.text(v+0.01, i -0.2, ('%.4f' %v), color='black', style='italic', bbox={'facecolor':'white','edgecolor':'white', 'alpha':1})\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"medSlope 0.002263\n",
"smallSlope 0.002342\n",
"small_NS 0.002386\n",
"small_EW 0.002422\n",
"bigSlope 0.002443\n",
"big_EW 0.002511\n",
"medDoG 0.002670\n",
"bigDoG 0.002696\n",
"big_NS 0.002775\n",
"smallDoG 0.002820\n",
"x 0.003995\n",
"y 0.005110\n",
"z 0.014049\n",
"month 0.298305\n",
"hour 0.653212\n",
"Name: 0, dtype: float64"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"importance[ind]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Ranking"
]
},
{
"cell_type": "code",
- "execution_count": 112,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
+ "execution_count": 66,
+ "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, fig.canvas.height);\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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Go4Ev/avpT+JiatTOQiToV0w/akcnLDR+gefjRo1Sp0GcqZjceYxAbEA8XD2/VN4r3BsF6fUtNMyCKfh/QShgr0oMdFO5SBMBKKkf4eRP+YcrWxPx24QTLcBVUUSk4DqDlZGj4ArYoJ0EP9BDIeYNsI0sDVr1giO/eKUC+5jwLFJ3K+ACRSXdmEB9GShMUpMUDbID46DYmLDxKWJVr3lMcFEjLsa0EYIHHHvBEIQOOJcrFgxRSawQMOrYsS0e0zg4dHuMcEFVvBgQMuBNuB0iTuC5a4sV7F+aBFACrB4o204RoqFD7tteIZQD7QXBqICMSM8OtAZIHwGMqJpHXBZnD0xwUKGMADaCDGqRmCxM4fBu4YFEf+ifJAFiGqBA/AFtp6MF+SJPgGe8OxgIUO4CP9CsIlLz6BDgaAa49ad+ZOYwEsAzOvWraveG6P3mCC8htMw8GZgcYcwFG10dI+JM2ICQgwPHYTOOPGD/DBu8Dv+juP0IHroRxBneKJQBggNSBAuJ3xRYqInlZg/tHtMIHRGWSBg+i/t9GTsuutnfh4VARITjoiARcAdMcHtrNrkh13zK6+8otqChQq7fZzO0S5wwkKENK5u8vRU/Opod4ejlPBqgJSAIGCh9RYxQdsgcsXOHi507CCxq8MRZdwmijsWHJ3GcNXB8ELgqCU8TFhQtZtfcfJCf6EW8nAnJHVWjitigmdAGnEhHf7FwoRFUVvQQSZAujTDEVws6NAkQJuC/kc/IJSGxcqR+Bd9gp08PEraCS39SR4sbtjl4+QV/o7y4CHAIurpeNHqiXxQLhYynLoC2YJXCuMBBAgLrkZcXfWPP4mJdhQfR8jxLsCDAtIBj4Sjm1/37NkT7eZXiGFd3fzqjJgAA+SHvsVGQjttpScbwBK6H5A7EFl4DlE3kEdXNysb1XBp/YA7fDAe4UkEGQYZwpjAsWSQTL15MnYDdqINwIqRmARgp7BKRMBTBCC8RehB7z3yNA+mD00E3Ok/QhMVttpMBEhMzESfZRMBDxGAl8ReiwGhL0gJTixg16n3MHiYPZOHIAIkJiHY6QHeZBKTAO8gVo8I6BHAdesIu+AacIQG8EV20EMgrIFwzqRJkwgYEfAIARITj+BiYj8gQGLiB5BZBBHwFgK4DRVCQOhnQEbix4+vxJ24gdPRLZzeKpf5WBcBEhPr9m2wtozEJFh7jvUmAkSACBABImBBBEhMLNipbBIRIAJEgAgQgWBFgMQkWHuO9SYCRIAIEAEiYEEESEws2KloEm6sxAkOXBTk7Ft6Ldp0NosIEAEiQAReAAHcw4O7ZHACEF+U6G8jMfE34n4qD6c1jFzg5KfqsBgiQASIABEIMgRwoSEubvS3kZj4G3E/lYfvT0mRIoVgYDm6tdFP1WAxRIAIEAEiEGQI/Oc//1Eb21u3bqmbmP1tJCb+RtxP5WFgYUCBoJCY+Al0FkMEiAARsAACZq8fJCYWGESOmmD2wLIorGwWESACRMDyCJi9fpCYWHSImT2wLAorm0UEiAARsDwCZq8fJCYWHWJmDyyLwspmEQEiQAQsj4DZ6weJiUWHmNkDy6KwsllEgAgQAcsjYPb6QWJi0SFm9sCyKKxsFhEgAkTA8giYvX6QmFh0iJk9sCwKK5tFBIgAEbA8AmavHyQmFh1iZg8si8LKZhEBIkAELI+A2esHiYlFh5jZA8uisLJZRIAIEAHLI2D2+kFiYtEhZvbAsiisbBYRIAJEwPIImL1+kJhYdIiZPbAsCiubRQSIABGwPAJmrx8kJhYdYmYPLIvCymYRASJABCyPgNnrB4mJRYeY2QPLorCyWUSACBAByyNg9vpBYmLRIWb2wLIorGwWESACRMDyCJi9fpCYWHSImT2wLAorm0UEiAARsDwCZq8fJCYWHWJmDyyLwspmEQEiQAQsj4DZ6weJiUWHmG1ghYdLsnjxLNpKNosIEAEiEAAIREYGQCW8VwUSE+9hyZx0CJCYcDgQASJABPyAQFiYyLBhfijIf0XcvXtXypQpI1u3bpUkSZL4r+D/lUSPid8h90+BJCb+wZmlEAEiEMIIgJRERIjEjRvCIHi/6SQm3sc0IHIkMQmIbmAliAARsDICmTKJ9O5t5Raa0jYSE1Ng932hJCa+x5glEAEiEOIIkJj4ZACQmPgEVvMzJTExvw9YAyJABCyOAImJTzqYxMQnsJqfKYmJ+X3AGhABImBxBEhMfNLBJCY+gdX8TElMzO8D1oAIEAGLI0Bi4pMOJjHxCazmZ0piYn4fsAZEgAhYHAGDxOT+/fsSEREhCxculCtXrkjOnDllyJAhUq1aNbcAbdy4UUaOHCmHDh2SO3fuSK5cuaRTp07y6aefRnv24cOHMnHiRJk/f76cOHFC4sSJI3nz5pWpU6fK66+/bkuPzwYPHizbtm2Ty5cvS8aMGeXzzz+X7t27S7wAuPeKxMTtsDAnQaxYsZwWfPbsWcmaNavLipGYmNNvLJUIEIEQQsAAMcGdIGXLlpWrV68qcpI+fXoZNWqUbN68WY4dOybZsmVzChjSdenSRerUqSMNGjRQRGPy5Mny448/yoIFC6KQk2vXrknFihXlwYMH0rZtW8mdO7ciMps2bZL27dvbygEZeffddxVh6dy5s7zyyiuydu1aGTFihDRt2lQiA+CyOBKTAH2Hdu3aFaVm//77r2K0T58+lePHj0uyZMlITAK071gtIkAEQgQBA8QkPDxclixZIgcPHrSRA5AUEJQOHTookuLIQDBSpkypLjpbs2aNLcmTJ0/U3ytUqCA//PCD+vuzZ8/krbfekuTJk8uKFSskfvz4TjugfPnycuTIETl9+rQkTZrUlq5KlSry66+/ys2bN03vPBIT07vAfQVARj766COBS2/Lli1SpEgRhy48uPE0g8ckU6ZMcptX0rsHmCmIABEgAjFBwA0xOXz4sBQsWFD69eunfvSWIUMGKVasmCxfvtxhydevX5c0adIorwZCOZrdunVLUqdOLc2bN5cJEyaoP0+fPl1atGihyEbmzJldtiRfvnySKFEi2bNnT5R0b7zxhvK2oM5mG4mJ2T1goHwMOAw8uO8qV67s8In+/fvLgAEDon1GYmIAYCYhAkSACMQEATfEpF27djJp0iS5cOGCpEuXLkoJadOmlQIFCsj69eudloz5ft++ffLtt99KiRIl5NSpU9KxY0f5888/ZceOHbY8CxcurEIypUqVkpkzZ6rysmTJotK2bNkySv7Dhg2Tnj17qnpBp3L79m3ltZkxY4ZaY955552YIOHVZ0hMvAqn9zMbNGiQ9OnTR7755hv54osvnBYAbwk9Jt7HnzkSASJABJwi4IaY5MiRQ8LCwmT37t1Rsnj8+LEkTpxYaUcgVHVmJ0+elOrVqystimbYqEK4inxhFy9eVN7xhAkTKmFst27dJFWqVIpsQDsyb948qVevnu156E6gV1m2bJntbwgXTZs2TYlyA8FITAKhF5zUYdasWdKoUSOBN8TeDeiu2hS/ukOInxMBIkAEXhABF8REm4MRcpkyZUqUgvbv3y9FixZV5AEnbBwZ5v9WrVqpNeCDDz5QOpLx48erkzSrV69W2hMYCEatWrWU2PXAgQOSIEEC9Xd4QuBFgdAVuhPY3r17pUaNGspT06xZM0mRIoX6DPlC/IqwUSAYiUkg9IKDOkDshMEIZgtviadGYuIpYkxPBIgAEfAQARfEBHqP7NmzO9xYap5wiFBxOsbeoPOAlhCneHCEV7NHjx4JvDDQkYCgwHAUGF4UR151pHvttdfUCSAcoMiTJ48iMCA2+pOfCOmA4Pz999/Kk2O2kZiY3QMOysdxYJw5h2obgw1HxPSGeKIr1TXSkpgEYMeySkSACFgLARfE5NKlSwKBK8hFb90X/SGMA4KAcIv96UsNnIEDByov+fnz51WYRm/QkSBvrBMwHO+FV2br1q3y9ttv25IiZAOPCDQmEMnicxxbnjNnjjrhqbdevXqpe1WgXYE2xWwjMTG7BxyUD3aLI13OjPeYBGCnsUpEgAiEHgIuiMnz58/V8V0IWBctWmTDZujQoQIigFOWzub5vn37KkID4gLRq2a4KqJQoULqYrbFixerP2uEAxqRxo0b29J27dpVRo8ercSzeAb3meCIMcSv0KFoBk8KTgfduHFD/vrrL4kdO7bp/UhiYnoX+KYC9Jj4BlfmSgSIABGwIeBG/NqjRw+lI0Hopnjx4rJy5UoZN26cIh04GQPDzavwioBUICwDAwGBZxwneUBSEJLBza8gFdCa4EQOwkQwEKDSpUuro8LDhw9XR4m///57dcoGJzXxPAxhIBxdxokdeGNARkBExo4dq+5YAdGBViUQjMQkEHrBB3UgMfEBqMySCBABIqBHwA0xwUlJiFtxFT1+BzHATa41a9a05QLxKQSpuNEVWhHNQBZw8AFeE3gzEBbCJWgICyHMrzdc2IbL2qAdgQcEHhKc5qxatWqUdLgdFqQIBAmkBKEehH+gY8E9JoFiJCaB0hNergeJiZcBZXZEgAgQAXsEDNz8StA8R4DExHPMguIJEpOg6CZWkggQgWBGgMTEJ71HYuITWM3PlMTE/D5gDYgAEbA4AiQmPulgEhOfwGp+pjZicvu22y/8M7+2rAERIAJEgAgQgf8iQGJi0ZFAYmLRjmWziAARIAIWR4DExKIdTGJi0Y5ls4gAESACFkeAxMSiHUxiYtGOZbOIABEgAhZHgMTEoh1MYmLRjmWziAARIAIWR4DExKIdzFM5Fu1YNosIEAHzEIiMNK/sECqZxMSinU1iYtGOZbOIABEwD4EQISZ3796VMmXKqO/hSZIkid/xJjHxO+T+KZDExD84sxQiQARCAIGwMBEs0LpvCbZyq82WApCYWHR0kZhYtGPZLCJABPyLAEhJRIRI3Lj+LdfE0u7cuaPuv7pt0j1YJCYmdr4viyYx8SW6zJsIEIGQQSAEb3dFKCdp0qQkJiEzyP3UUBITPwHNYogAEbA2AiQmfu9fekz8Drl/CiQx8Q/OLIUIEAGLI0Bi4vcOJjHxO+T+KZDExD84sxQiQAQsjgCJid87mMTE75D7p0ASE//gzFKIABGwOAIGicn9+/clIiJCFi5cKFeuXJGcOXPKkCFDpFq1am4B2rhxo4wcOVIOHTokEJ7mypVLOnXqJJ9++mmUZ0ePHi2dO3d2mN+1a9ckderU6rOTJ0/K7NmzZcOGDXL69Gl5+PChvP7669K/f3+pWLGi2/pQY+IWotBK8ODBAylZsqQanPv27ZPkyZMrADDQCxUqJLlz5xYM4tixY7sEhsQktMYNW0sEiICPEDBATLCQly1bVq5evarISfr06WXUqFGyefNmOXbsmGTLls1p5ZCuS5cuUqdOHWnQoIHEiRNHJk+eLD/++KMsWLAgCjkBUdm9e7fMnz8/Sn5YD9544w3b37744gv5/fff1bMFCxZU6wnqdfDgQVWnUqVKuQSLxMRHYymYswXbLVq0qFSqVEm+//57efbsmfodA+23336TdOnSuW0eiYlbiJiACBABIuAeAQPEJDw8XJYsWaIWfo2EgKSAoHTo0EGRFEeGjWjKlCnVZWZr1qyxJXny5In6e4UKFeSHH36w/T1HjhxSvHjxaMTEPu9Lly6psvV26tQpwfNNmzaVSDcXxZGYuB8WIZli0aJFUrduXRk3bpzcvHlTBg0apAYuCIojg6sOP5qBmGTKlEluh4dLsnjxQhJDNpoIEAEi8MIIuCEmhw8fVl6Jfv36qR+9ZciQQYoVKybLly93WI3r169LmjRpVHgGoRzNbt26pcIyzZs3lwkTJqg/428gKyA5HTt29LhZZ86cUaTp888/lzlz5rh8nsTEY3hD54GWLVvK9OnT5enTp9KzZ0/linNmiB0OGDAg2sckJqEzXthSIkAEfICAG2LSrl07mTRpkly4cCGaNztt2rRSoEABWb9+vdOKVa5cWYXtv/32WylRooTAswHi8eeff8qOHTtseUIvgo1pqlSp1DNLUdsAACAASURBVGYVJAUhmeHDhytNijuDp2TatGnKs/PRRx+RmLgDjJ87RmDv3r0qbhgvXjy5ePGiTdjkKDU9JhxFRIAIEAEfIOCGmCA8EhYWprQfenv8+LEkTpxYaUfsNSH6dAjdV69eXWlRNGvRooUMHjxY5avZ0qVL5ejRo1KkSBGV786dO1Ua6BDhtQFRcWYQ4fbq1Us++eQTJc51Z/SYuEMoRD+/d++ecgFCX4JYJYRVztyBjiCixiREBw6bTQSIgHcRcEFMtHkWIZcpU6ZEKXf//v1KK4jQC07YOLJZs2ZJq1atpFGjRvLBBx+o+X78+PGybds2Wb16tdKeuDKEedq2batCMwjR2Bu0KvDoQEyLMr7++mslrnVnJCbuEArRzzHIwJDBwsGka9euLWPGjFFCKiNGYmIEJaYhAkSACLhBwAUxwVHc7Nmzq2O49voS6AL79OkjR44ckbx580YrBF4OeD8Qou/evbvt80ePHimRaubMmRVBcWW7du1SpzhHjBihTvboDZqUjz/+WB0ZHjp0qHTr1s1wV5OYGIYqdBJCV9KkSROZOXOmQO0Na9OmjVJSb9++Xamy3RmJiTuE+DkRIAJEwAACLogJTr9A4Apy0Vv3zcMI4+TJk0fpQUAeHNnAgQMVmTl//rw6qKA3aEeQ99mzZ11WEB4XeELWrl0r7777ri0tCBPuT4HuZd68eVKzZk0DDf3/JCQmHsFl/cRg0RBAgeli0GkGDQkG640bN+TAgQOSIkUKl2CQmFh/rLCFRIAI+AEBF8Tk+fPnSuMBAStOUmoGDwU0Hbhzqnz58g4r2bdvX0VoQFww52t2/PhxdWcViMXixYudNhB3W7311luqfOgRtbuttmzZosStCRIkUHehFC5c2GOQSEw8howPGEGAxMQISkxDBIgAEXCDgBvxa48ePZSOBKEbeLNXrlyprnkA6cBpStjly5eVV6Rx48YydepU9TcQEJAG3EsFkoLQDW5+HTZsmNKa4EQOwkT4HVqTGjVqSL58+RQBgX4FZUIEu2nTJpUOhnuvcKkayAr0JPZ3XuE2WlciWQ0JEhO+FT5BgMTEJ7AyUyJABEINATfEBN5siFtx2gW/404T6D304ZMVK1YoYgERKk7caIYL2aBPgdcE3nCEhapUqaLCQtoFadCK4KgvvCIgOPDS4D4SiGW7du0ahWjgWf1FbfZdBUJjxINCYhJqg9xP7SUx8RPQLIYIEAFrI2Dg5lerAUBiYrUeDZD2kJgESEewGkSACAQ3AiQmfu8/fruw3yH3T4EkJv7BmaUQASJgcQRITPzewSQmfofcPwXaiMnt25IsWTL/FMpSiAARIAJEIOgRYCgn6LswMBtAYhKY/cJaEQEiQAQCHQESk0DvoSCtH4lJkHYcq00EiAARMBkBEhOTO8CqxZOYWLVn2S4iQASIgG8RIDHxLb4hmzuJSch2PRtOBIgAEXghBEhMXgg+PuwMAZ7K4dggAkQg5BCIjAy5JvuiwSQmvkCVeQqJCQcBESACIYcAiYlXuvzOnTvqNOdtk0518riwV7ox8DIhMQm8PmGNiAAR8CECYWEiw4b5sIDQydpsKQCJiUXHGomJRTuWzSICRCA6AiAlEREiceMSHS8gQGLiBRCZRXQESEw4KogAEQgZBELwdlZf9i2JiS/RDeG8SUxCuPPZdCIQagiQmHi1x0lMvAonM9MQIDHhWCACRCBkECAx8WpXk5h4FU5mRmLCMUAEiEDIIUBi4tUuJzHxKpzMjMSEY4AIEIGQQ8AgMbl//75ERETIwoUL5cqVK5IzZ04ZMmSIVKtWzSlkly5dkgwZMriEdP/+/VK4cGGV5sGDBzJs2DCZOXOmXL58WbJkySJt27aVNm3aRMnjxIkT0rt3bzlw4IBcvXpVnj17Jjly5JB27dpJeHi4qV1IYmIq/IFX+LZt26RMmTKyYMEC+fTTT6NUcM6cOdKwYUPZvXu3vPHGGy4rz1BO4PUta0QEiICPEDBATHBpWNmyZRUJADlJnz69jBo1SjZv3izHjh2TbNmyOawc7vQ4cuRItM9ARlq1aiW1a9eWxYsXq8/v3bsn5cqVk9OnT0u/fv0kb968snz5cpk0aZJMnz5dvvzyS1s+P/zwg2zcuFFKlSoladOmVXdPjRs3TtXn22+/lbp16/oILPfZkpi4xyjkUhQpUkQSJUok27dvj9L24sWLq/+DmLgzEhN3CPFzIkAELIOAAWICL8SSJUvk4MGDNhICkgKC0qFDB0VSjBq8GyVLlpSjR48qUqN5VLp16yZjxoxRXpD8+fPbsitWrJj8888/irC4smvXrskrr7wiTZo0ka+//tpodbyejsTE65AGf4azZs2SRo0aqcFdqFAh1aA9e/YIiMns2bOlQYMG0Rr58OFDwY9mGFiZMmWS2+HhkixevOAHhS0gAkSACDhDwA0xOXz4sBQsWFB5MfCjN5AKEAd4Noza1KlTpUWLFoqEgNTAnj59KmnSpJGKFSvKd999FyUreLrnzp0rCCUlSJDAaTF79+5V3vDx48er8I9ZRmJiFvIBXC4IRubMmaV69eoybdo0VVOQkTVr1siFCxckfvz40Wrfv39/GTBgQLS/k5gEcEezakSACHgHATfEBLoNhFMwf6ZLly5KmQijFChQQNavX2+oLtevX5dcuXKpjd++ffskTpw46rkzZ84oTwzmYnvyg/DOli1blP5EP38/f/5cERqEi3799VelL8Hcv2rVKoln4oaSxMTQUAi9RH379pXRo0fLX3/9JY8fP1YvQceOHZVQy5HRYxJ6Y4QtJgJE4H8IuCEmEJWGhYVFC4Njbk2cOLHUqVNH5s+fbwhOhISg99uxY4cK52gG0gNS0bx5c5kyZYrt7/DWQBiL7565efNmlDJ69OihhLKwWLFiCeZ9/Lz00kuG6uKrRCQmvkI2yPPV1NwYtGDZGKxg5Bj4RowaEyMoMQ0RIAKWQMAFMdHmQnvCgHZDwFq0aFGlL+nUqZNbKEBG3n77bWncuLFDDUiePHmUV2bRokXy1ltvyS+//CLNmjWTixcvSqVKlWTt2rVRyjh79qz8/fffAm0JNCU//vijIj3169d3WxdfJiAx8SW6QZ53vXr1lHvv0aNH6uWBituokZgYRYrpiAARCHoEXBATCE6zZ8/uMMQyaNAg6dOnjzp1gxM0ruzJkyeCgwnYNB4/flxSpkwZLTmEtThN+ccff6jPUqdOrQgPysCJm5YtWzotAoJa6F2yZs2qCI2ZRmJiJvoBXjZO35QoUULVcsOGDVKhQgXDNSYxMQwVExIBIhDsCLggJto9JDgijHtDNEMYBx6OVKlSya5du9wigNB6586d1f0kru4ZgW4EXhMIXRFCgpAVBAge7xQpUjgtB8+B7OTLly/aiUy3lfNyAhITLwNqtexeffVVSZgwoTqW5omRmHiCFtMSASIQ1Ai4ICZY8JMnTy6VK1dWIRbNhg4dKr169VJ3iZQvX95l86H1y507t9KKQMQKPYgRgycG95QMHz5chXRcGcS5rVu3jnLSx0gZvkhDYuILVC2S56FDh9QRNwxYVy5AR80lMbHIIGAziAARcI+AG/ErRKbQkcBzgWsXVq5cqUIr8KL07NlT5Y8QDQ4ZQD+C48B6gzh22bJl0e4n0aeZMWOG0gPixA4uc9u5c6dMmDBB2rdvH+XQAvIHsYEHHCeEcAMt8sYRY9xAi5B97Nix3bfZhylITHwIbrBmjZjouXPn1Atz/vx5OXXqlLpwzRMjMfEELaYlAkQgqBFwQ0xwahFaD1xFj9+x4evSpYvUrFnT1uwVK1ZIjRo1ZPLkyeqOEs3WrVsn7733nko/YsQIpzDhoAIIDQgOPDQ4sYPjv++8806UZ3D3CW52xbyOeRrhHdQHglfcd2L2iRxUlsQkqN8G31Qe8UtcxoP4Z2RkpHIFemokJp4ixvREgAgELQIGbn4N2raZUHESExNAD4UiSUxCoZfZRiJABBQCJCZeHQgkJl6Fk5lpCJCYcCwQASIQMgiQmHi1q0lMvAonM4tGTG7fVjcO0ogAESACRIAIGEGAxMQISkzjMQJmDyyPK8wHiAARIAJEICAQMHv9iPUch7xplkPA7IFlOUDZICJABIhAiCBg9vpBYmLRgWb2wLIorGwWESACRMDyCJi9fpCYWHSImT2wLAorm0UEiAARsDwCZq8fJCYWHWJmDyyLwspmEQEiQAQsj4DZ6weJiUWHGI8LW7Rj2Swi4C0EIiO9lRPzsRgCJCYW69BAaQ6JSaD0BOtBBAIMgbAwkSRJRHTftBtgNWR1TEaAxMTkDrBq8SQmVu1ZtosIvAACICURESJx475AJnzU6giQmFi9h01qH4mJScCzWCIQyAjwhtRA7p2AqRuJScB0hbUqQmJirf5ka4iAVxAgMfEKjFbPhMQkQHs4VqxY0q9fP+nfv7+q4axZs6RRo0a22saPH199XTW+Afjdd9+VL7/8UtKkSfNCrTl06JCMHz9eNm/eLJcuXVJ5ZcyYUX1tdpMmTaRYsWKG8ycxMQwVExKB0EGAxCR0+voFWkpi8gLg+fJRZ8Rk5syZkjt3bnn8+LFcu3ZNtm/fLvhb7Nix5bvvvpOKFSvGqFqRkZHSunVryZUrlzRt2lTy5csnqMMff/whCxculB07dsipU6ckW7ZshvInMTEEExMRgdBCgMQktPo7hq0lMYkhcL5+zBkx2bNnTzTPxfnz56V06dJy69YtOXnypLzyyiseVQ+ko0yZMlK1alVZsmSJxIsXL9rzixcvllKlSkn69OkN5U1iYggmJiICoYWAB8Tk/v37EhERoTZGV65ckZw5c8qQIUOkWrVqhjDbuHGjfPXVV7Jr1y7BfATvb8uWLaVDhw5Rnn/48KFMnDhR5s+fLydOnJA4ceJI3rx5ZerUqfL666/b0j59+lRGjx4t33zzjZw7d04yZcokPXr0kC+++MJQfZjIOAIkJk6wQghlwIABcvDgQfVyrFu3TnklwsPDZcSIEXL69Glp166d8iS8/PLLasB37drVlhuAHThwoHz//ffy119/SerUqaVOnToyePBgSZw4cZR0nTp1kqVLlwpeEBAMvEzwXDgK5TgiJsgMxOHjjz9Wde7bt68t/xUrVsjQoUNVO1D/N998U9WrZMmStjQgJOvXr1cvW7p06YyPHhcpSUy8AiMzIQLWQsAgMbl7966ULVtWrl69quZfbIhGjRqlwszHjh1z67nt3r27CkvDC4wNFebcw4cPS5IkSZRHWDN4neFlfvDggbRt21Z5o+/cuSObNm2S9u3b28oBKfnggw/kl19+UXMsiAsIyrfffqvqhLrSvIcAiYkbYgKCUL9+fbWgY/EGKcFg37BhgyIj0HgsWLBAhVNAQj788EMB08fLcPHiRenZs6di3UeOHFGEoWjRoupZeETw/YUVKlSQnTt3qs/eeOMNRXTmzp0rZ86c8YiY3Lt3T5InTy7lypVT+cNQr3r16ikNCuoK4oP64wXFbgIkCC9c0qRJpVChQqoe3jISE28hyXyIgIUQMEhMsAGE9xYbKi18DJICggKPB0iKM5s0aZLyZCDMrfd42Kd/9uyZvPXWW2rexAYOuj1nho0qCNK2bdvUMzDMp6hP+fLlVV1p3kOAxMQNMYHrrmPHjrZUhQsXlt9++015OGrVqqX+/uTJEzVA3377bUVOhg0bJr169ZJff/01StgFn9WuXVt++uknqVKliqxZs0b9C2YPtq4Z3JV43hOPCZ5NmzatpEyZUo4ePSp46eBqhDcH9X3ppZdU9tiJ4EXPnj27IkF42fHcJ598olymegNp0X/5MzwuIFSODC8pfjTDwEL5t8PDJZmD0JD3hjBzIgJEIGgQMEBMsHEqWLCgmv/wo7cMGTKoOXX58uUOm3zjxg01v8F7jU2hK5s+fbq0aNFCeb8zZ87sNCm8Kq+++qrySGMDqjdsQDGngkDRvIcAiYkbYnL8+HEV29Tss88+U+47eEUSJEhg+ztY9KNHj2Tv3r3KEwF34L59+6LkDndhsmTJpEuXLjJ8+HDp1q2b8mD8/fffikBo9ueff6oXwVNiAm0J8gExgWgV7kbkj/L0Bu8JxK6oI36cERN4UfQv3MiRI6Vz584OEdNCX/Yfkph472VlTkQg6BEwQEwQIofX48KFC9FCy5irChQooLzXjgybPGwkoRdBHrt371YeYWwAx4wZo0LqmmGTiTkT5AKEA+VlyZJFPY85UrOxY8eqv2GjWbx48SjFwpMOMgRtH817CJCYuCEm169fl1SpUtlSaS5GsGS9IYQCgvH7779Ljhw51AkWZwaxFOKTjRs3ltmzZ6sTNnoDgUmYMKFHxMQ+lAM3Jjw4CAshFKW3QYMGSZ8+fVSoCS+6s1AOCA4I2OXLl6V69eriipjQY+K9l5I5EQHLImCAmGD+DAsLU6RCb5gnoRWBVg/Ew5FBL4JwCzaN8JiASEAXgvkO1x5ohAZzHzy6mGcRrscmEfM8QkRr166VefPmqTA4rFKlSmqDBs+JvWEDCW85vM807yFAYuIDYgJhKYjCjBkzHOaOFyBr1qxe9ZgsWrRI6tatq+KgvXv3NuwxSZQokVK5Q9zrTPyqeXBcERP7hlJj4r2XlDkRAcsg4IaYaPNG8+bNZcqUKVGavX//fqXRA3nAgQFHhrudbt++LT///LPS22n26aefKk83vBsIdy9btkyF4iF2PXDggM37jWfhRYEuD7oTGLzQIDirV6+OUuTNmzfVZ9AcTpgwwTJdFAgNITHxATHByRvoROA9AaN2Zt7SmGjHhdGZcCnCXQmNCeKm+B0vtKYNAWF67bXXlFcHXhWYdlwYBAUirrh232NBYhIIryrrQAQsgIAbYgK9B/RvCA3b60s0Ty8OEiBMbW+apxme4q1bt0b5GIcLsGk7e/as2hTiKDD0JfBc2x/3xbyJORKnbaAfxHwIT7m9vgRelc8//1xWrVol77//vgU6J3CaQGLiA2KCxR8vB8JAUJBDGQ6iAAIBzwTYfokSJdTfoOhG7BIvIURd7k7laBes4YWBaxFuS+2CNZAK5KeZdioHL02zZs2UOBVeD7gltVM5Wlq8qG3atFE7CO2CNQhmEcaBaBc/0KXoj9q5Gsb0mATOS86aEIGAQcANMcGN0xC4ap5frd4I4+AEJLzNuJfEkYGYwAOMG7JBOPSG8A9OK2JOxj0lmMvglQGBwVytGTR38LpAYwIvCMT/CPcgHA6xrN5wRBinJ/Fjv5kLGLyDtCIkJj4gJsgS5ASnc3C/CFg6BjeYOGKgiGdql6DBdQhhFU75QDwLIRZeCBAEV1fS4xI07Ur69957T+lV9MIurVlQrzu6x0Q78qZvPgiL/kp6eFlwKRHSNmzYUMVojRqJiVGkmI4IhBACbogJiACO71auXFkQntYMcxhOKmJDpd982SMHTwc0H5o3GJ9jXsOmDycfccoSBkICYjFt2jQ1d2qG0zxIg4MLEP/D8ufPrwiPXvOCE4w4CIGvCsHcSPMuAiQm3sWTuf0PARITDgUiQASiIWBA/Io7SKAjQegG2o6VK1fKuHHjlBdFOwIMTy7EqyAV8PZqpnlCsNnDSRyE03EhGk7bwLsMoT8MBAinJxE6wglJbOrgFYYu0P6SSi1PnG5EnvBqo24NGjSQr7/+mp3sAwRITHwAKrMUdQU0dj48LszRQASIgA0BA8QEIWeEu+GVwO+40wSkoGbNmrZsIEytUaOGTJ48WWlF9IbjvbhiHqFzeE/g0cBNsPB66A13OCHUDlHrv//+qzwkOL2Dm7D1BhIDsgKCgq/9gDcbgld8cSrNNwiQmPgG15DPlcQk5IcAASAC0REwQEwIGxEgMeEY8AkCJCY+gZWZEoHgRoDEJLj7z0+1JzHxE9ChVgyJSaj1ONtLBAwgQGJiACQmITHhGPAJAmYPLJ80ipkSASJABIiAzxEwe/2I9Vz/LXE+by4L8BcCZg8sf7WT5RABIkAEiIB3ETB7/SAx8W5/BkxuZg+sgAGCFSECRIAIEAGPEDB7/SAx8ai7giex2QMreJBiTYkAESACRECPgNnrB4mJRcej2QPLorCyWUSACBAByyNg9vpBYmLRIWb2wLIorGwWESACRMDyCJi9fpCYWHSI8biwRTuWzbIeApGR1msTWxTUCJCYBHX3BW7lSUwCt29YMyKgEAgLE0mSRKR3bwJCBAIKARKTgOoO61SGxMQ6fcmWWBABkJKICJG4cS3YODYp2BEgMQn2HgzQ+pOYBGjHsFpEAAjwBlaOgwBGgMQkgDsnmKtGYhLMvce6Wx4BEhPLd3EwN5DExOTe+/PPP+XVV1+VmTNnSnh4uKrNrFmzpFGjRnL27FnJmjWr+hs+mz17tq22+Arv1KlTy+uvvy61atWSzz77TOLHj/9CrVm5cqVMmzZN9uzZI3///bfKL3v27FK9enX1Fd+ZM2c2nD+JiWGomJAI+B8BEhP/Y84SDSNAYmIYKt8k9ISYLFq0SDZt2qQq8u+//8qFCxdk9erVsnjxYsmdO7esWbNGMmbM6HFFnz17pojQnDlzpEqVKlK3bl1FiFAGSApI0+PHj1V5Ro3ExChSTEcETECAxMQE0FmkUQRITIwi5aN0nhCTJUuWyN27d6PVZN26dVKtWjUpUqSI7Nq1y+OaDh06VHr27Cn4t3v37tGef/LkiURGRkqrVq0M501iYhgqJiQC/kfAA2Jy//59iYiIkIULF8qVK1ckZ86cMmTIEDXnuLKbN2/Kyy+/7DDJiBEjpEuXLrbPUMbkyZNl3rx5cvr0aUmcOLGULl1aBg8eLLly5YqSR4ECBeT333+Plu/7778vq1at8j+WLNHrCIQsMbl+/br06tVLeRyuXbsmyZIlUy/cgAEDpGLFilKuXDkVzkBoo1OnTnLgwAF55ZVXpF+/fsq7gBegT58+cuzYMcmWLZuMHDlSKleubOugU6dOqZdq+/bt8tdff0lYWJgiDnih8WJp5g1igrxAGvBib9myRcqUKaOyhydk1KhRMmPGDBUWSp48uaoj6qB5Vh49eqTahf8fPnzYawOMxMRrUDIjIuB9BAwSE2yEypYtK1evXlXkJH369GpO2bx5s23uc1a5tWvXqvkGHld4dPWGuTZlypTqTw8ePJC3335bjh8/Lj169JASJUrI+fPnpXfv3moOAwnR0oLAYK5u2bKlCl/rLW3atLbQt/cBY47+RCBkiQlemP379yvygJfk1q1b6v958+ZVoQwQE7wQqVKlkq5du6qFe8KECQIdBsgLvBfwMmCxHzhwoCIuZ86cUS8ubOvWrbJixQopWbKk0oJg9wCNCF5WpNV2Ad4iJtokgMkDLzSsWbNm8vXXX0vr1q3V7gZlgUwlSJBAtRVt27lzp5QqVUpNCCAs3jISE28hyXyIgA8QMEhMoG3DXHfw4EG1AYOBpGCe69ChgyIpzgxzKzZyd+7ckYQJEzpNh3kR5cAj88knn9jSfffdd+r/y5Ytkxo1aqi/79ixQ3lS4CWuVKmSD4BhloGAQMgSk6RJk0rjxo1l7NixDvsBxATeh71790rRokVVGpCLNGnSSLx48QQeEY2E4KUtVKiQfPXVV9KmTRuH+T19+lSx/3z58imSMGbMGJXOW8QEnps8efJIixYtlOdE+z92FpMmTbLVaffu3WpHAlKFiUN7+adOnaqIjN4QwtFbnDhxnI7Zhw8fCn40w8DKlCmT3A4Pl2Tx4gXCWGcdiAAR0BAwQEzgQS1YsKAiF/jRW4YMGaRYsWKyfPlyp5hClI+wzKFDh1ziDm8zNn/YCGJ+1AzzFjZV+jl4/Pjx0r59e+XNdhYmYicHPwIhS0wqVKigvAYI0yB0A/IRV3fZEIjJiRMn5NKlS1F6GWQEwlB4GjRDOAQnWJCXtoPAoo44KmKmIDEQj2oGbw1CSN4kJn/88Yfy9mjEZMqUKcrdCSLyxhtvRGkD0sEdCj2KM2ICDxLCT3qDEBaTkSPr37+/8iTZG4lJ8E8SbIEFETBATNq1a6c2NRC9p0uXLgoICJsgJL1+/Xqn4MDLjHkEho0ZPNMgIPXq1YvyzMmTJ1WYu3z58gLigXkH+WKjBO815jLN6tevrzwrCO38888/kiVLFsHf4PGFJ5hmDQRClpiAcQ8aNEi5Cc+dOydJkiRRx25BJvDSaRoTe5EVSEn+/PlVSEdvsWLFUjqPiRMnqj+3bdtWvdTdunVTMVq8bC+99JLy0qRIkULFaL1JTHAiBydqtFAO2oawDSYV+5M6IGJoMyaEX375Rd56661ooRxMJAg5wbTwlStiQo+JNSYEtiJEEDBATHLkyKHmLWxu9IZNFsSpderUkfnz5zsEDAtL586dBRtAeFcuXrwow4YNUyEh+5DN8+fPlQ4Fmyps8mAIkSMM/fHHH0fJH8QGYXBcY3Dv3j355ptvZOnSpYrEwOtLswYCIUtM9N0HoRX0IDiRgvglFvkXJSZg9IiL4oXTG0gCXipvExN4R7Cz2LZtm2qDO48JXnyQEkwEIGKYPJyJX7V7VVwRE/vXgRoTa0wQbIVFEXBDTLT3t3nz5lE8FkADnmZ4mOEdhpfYqOHAAcK70LRt3LhRPYYrCSBiBflBeBleGHiqsanCvUk///yz4M4mZwZSA48wNpAQ6roKNxutJ9OZjwCJia4P4DGBuAqndF6UmCD+iR2FnsXjJA/0JfCgeJOYwO1ZtWpV9YKi/jAo3KGEh+cG7lHNQC6KFy+uTiTBqwLTjgtjRwMPj72RmJj/orIGRMCrCLghJtCGYAOFEK29vkTzxh45ckSFjz0xzEmxY8cWPAvDfAMvM3QomrgWf9fE/NOnT1eXO7oykCdcZ4B5GwcNaMGPQEgSk9u3b6t4Jpg6XhQIYbFgg6V/+OGHyj35osSkYcOGSr+BxR63s+7bt08dKYYWBS9gTIiJ/oI1hE7g6YFWBX+Hq6mN/gAAIABJREFU8BWeHng+NIN7E8edEStGmEc7lYM6IEyjicf0F6zhLgDtgjWUgZNGmByQHpOH0YmIHpPgnxzYAgsj4IaYQFuHuUR/yg9oIIyDuQYn+jy9MwmhFxwegCd5wYIFCtzXXntN3XyteVA0xBFmhibFETGy7xXM1UiPcBFC6rTgRyAkiQkWXCi7IWDFYo2XDW5DHE1DDBOuwxclJhB9Icb6448/KhcjxF3wTGhHeWNCTPRX0uP4HXYHUM3D0wNBGU4L6U27xwRxWP09JqiHoxtiUVcQGbhVb9y4oY74gUQhTtykSZNoFx25Gv4kJsE/ObAFFkbADTFBiES79wgbH80wd8DbCiKBzZ1RQ344YQPPBuZdeG1hmHexMUQoRk8qcAUDPDXQt8Eb7Mw08f7o0aOlY8eORqvDdAGOQEgSkwDvE0tUj8TEEt3IRlgVAQPiV5x0gY4EoRsQCZCEcePGKS8K9CCwy5cvK90IRP1a2BqeZ1ytgM0dNk/Y/GHDA00bDgRA5KoZ8urbt68Ke+PiSmymoPeDlxYbLtyhAsOxZHxlBr63C2QGehXUZ+7cuWpThs9wuIBmDQRITKzRjwHXChKTgOsSVogI/D8CBogJPMsQt+IUDX6HdxbXyNesWdOWD0gEQjO4O0kjHCAzeAZhYHiLQU4geIVHAxdO6k07kQPCAtGrdtcTSApC0RrZQMh6+PDhgmsRQHrgZcHdUdCf2B8/ZjcHPwIkJsHfhwHZAhKTgOwWVooI/BcBA8SEUBEBsxAgMTELeYuXS2Ji8Q5m84IbARKT4O4/i9eexMTiHWxW80hMzEKe5RIBAwiQmBgAiUnMQoDExCzkLV6u2QPL4vCyeUSACBAByyJg9voR6znUTzTLIWD2wLIcoGwQESACRCBEEDB7/SAxsehAM3tgWRRWNosIEAEiYHkEzF4/SEwsOsTMHlgWhZXNIgJEgAhYHgGz1w8SE4sOMbMHlkVhZbOIABEgApZHwOz1g8TEokPM7IFlUVjZLCJABIiA5REwe/0gMbHoEONxYYt2LJsVmAhERgZmvVgrIhADBEhMYgAaH3GPAImJe4yYggh4BYGwMJFhw7ySFTMhAoGAAIlJIPSCBetAYmLBTmWTAg8BkJKICJG4cQOvbqwREYghAiQmMQSOj7lGgMSEI4QI+AEB3uDqB5BZhL8RIDHxN+IhUh6JSYh0NJtpLgIkJubiz9J9ggCJiRdg7d+/vwwYMECuX78uqVKlcppjuXLl1GebN2/2uFStDO3BhAkTSsqUKSVfvnxSrVo1CQ8PV18F/iK2fft2wdeP79ixQ65evSpx4sSRrFmzSuXKlaVJkyaSO3duw9mTmBiGigmJQMwRIDGJOXZ8MmARIDHxQtcYJSZHjx5VpeXNm9fjUrUy1qxZI8mTJ5dHjx7JpUuXZOPGjTJv3jxJnTq1/Pjjj1KwYEGP88YDvXv3lsGDB0vJkiUVycmRI4c8efJEDh06JLNnz5bDhw+r/8eOHdtQ/iQmhmBiIiLwYgiQmLwYfnw6IBEgMfFCtxglJi9SlKsyDh48KGXLllWE5cSJExI/fnyPilq4cKF89tln0rx5c5k8ebLEihUryvP4OiP8HZ+TmHgELRMTAd8iYJCY3L9/XyIiIgTv+pUrVyRnzpwyZMgQ5W11ZTdv3pSXX37ZYZIRI0ZIly5dHH6GTQw8rdg4ff755zJnzpwo6TBPde3aVTZt2qQ2PNgQjRw5UooUKeJbvJh7UCBAYuKFbtJIw/79+9XLv2HDBrW4f/DBBzJ27FjlzYA5CuVcvHhR2rdvL2vXrlWLftWqVdX/ixcvLjNnzlTeC5g78oOXGi86vBsNGjSwtWrGjBkyfvx4OX78uCRKlEgRGExIefLksaVBOOjatWty4cIFSZAggRcQEaHHxCswMhMi4BoBA8Tk7t276r1HeBbzU/r06WXUqFEqpHzs2DHJli2b0zIwL4FgYC6yD+WC3CCc7MgQ+oUn98GDBzJmzBjp0KGDLdnWrVvlvffeU3Ncq1at1JzTt29fOX/+vJqntPmSXR+6CJCYeKHvNdKQJUsW+fjjj6VixYpy5MgR6dOnj9qZ/PrrrxI3btxoxOTevXtSqFAhwa4EE0b27NkFoZply5bJ2bNnPSImeKExcXz55Zcyffp01aqhQ4dKz5495dNPP5X69evLjRs3FMHBv3v27FHhGoSDMmTIoNIsWLDAC2j8NwsSE69ByYyIgHMEDBATbG6WLFki8KxqJAQkBQQFhAEkxZkhvNuvXz+5c+eOQNdmxOBJweanZcuWag4CAQIxgoGo5MqVSzJnziw///yz0rHBfv/9dylQoIAMHDhQzZu00EaAxMQL/a8RE7zk2B1ohoW+Xr16aueAf+09JgiPYMewevVqtSvRDCGTyMhIj4gJXnhMHFWqVJGffvpJbt26pSae8uXLy6pVq2x5wysCQvLRRx/J/PnzFWl68803pXv37moS0dvTp08FYRzN4NGxD/Nonz18+FDwoxkGVqZMmeR2eLgkixfPCygzCyJABKIh4IaYQBsG3RnIBX70hg1JsWLFZPny5U6BrVWrlpw+fVppzYzY0qVLVVgYc9DKlStl3Lhxai5KliyZevyHH36QDz/8UH2OuUozzDXYvH3yySde3SAZqTPTBB4CJCZe6BONmOzdu1eKFi1qyxGxU5CFhg0bKi+GPTGpW7euIiXoBL1t2bJFpfUklPPvv/+qUI1GTJDv+++/L4sWLZI6depEyR9/R9gJsWZXxCRFihRy+/Zt27OLFy+W2rVrO0TM/tSQlojExAsDjFkQAWcIuCEm7dq1UyftsCFJly5dlFzSpk2rvBTr1693im/GjBkVsYCBPMADjJAxNlr2Bi8s5i1suDDnlSlTRi5fviwnT560JUXIBt7hP//8U+Bh1gz/f/XVVxUxgQ6GFtoIkJh4of+1RRl6EexC9IaXH8Iu7BTsiQlCPufOnYvy4uJZxH2hAfGEmGjPaKEceGkgOtu2bZuULl06Sp0aN26stCiPHz92Gcr57bfflDBt3759SvjqipjQY+KFgcQsiICnCLghJvCOhoWFye7du6PkjHc/ceLEatMCz6kjw+LQuXNnqVChgprXML8NGzZMhYRAHkAiNIM+pESJEtK0aVN1dcKzZ8+UGB+boO+++86WDqQE5GTXrl0qvWYgO9DJ2XudPYWD6a2BAImJF/rR2x4TxGQRgvGEmCCu261bN5k7d67Sk7jzmBw4cEDtZmD58+dXwjhn4letPq6IiT2M1Jh4YWAxCyLgDgEXxER7B7GpmDJlSpSc4DGFdxf6kk6dOrkrxfY57mpCiLZUqVLqxA0M+hP8H3o57fQNrkaAqB5EBvOSZr/88otKi83SrFmz1AnCb775RnlRsAlC+Bt6N1poI0Bi4oX+d6cx0ciCM42JfbzVU42JdlwYOyOIYOPFi2fTmFSqVClKDBm7HohsEZKBVwWmHRdu0aKFcvva60hITLwwSJgFEfAFAi6ICbQheNcxP9nrSwYNGqREphDpe3qvEkT20JvhWViNGjVUWBj3KGHugSGE3KxZM/n+++/VYQBNY4LPcEqwR48egvAzDB5lkBqcIIQY39lJH1/AxzwDEwESEy/0i/2pHJAB7VQOVPBwo+KFtScm+lM5mCgwicDTgbAPYq76o7/2F6xpYRjsWkB80qRJo0Su8H5opp3KQUgHuxCcxtFuqNVO5WhptQvW3nrrLdsFa3DHwouC/FEOTgzhmJ8Ro8fECEpMQwReEAEXxEQ7cQdvBN5vzTB3IFSMW6oRUvHEMGdhrgEZgXcD7zm0aHqRvH1+8MxAf6c3hH7PnDmjwj3QvhQuXFj9wEtMIwIkJl4YAxppgBYDv+MYHLwOuLwIqnS8yDBH95hg4ce9JevWrVPPvPvuu+rIL2KzUMtXr15dPWsvLoULFDsLiNdw90mjRo0cXkkPN+lXX32ldCsQ4qIOOMrnaJcEPYr+Snqo5HElPY76oU56Ya872EhM3CHEz4mAFxBwQUxAFrDw48QfPBj6DUuvXr3UZgMhY6OG/Fq3bq1ODO7cuVPdQwKigk2OvcHri0vdENrB/OfKK4MjyTjNiBNEOElIIwIkJgE4BkAcsMOBoAyq+GA0EpNg7DXWOegQcCN+RcgEOhJ4ZEEktCO88KLgjiMYtGbQjUAUP3XqVPU3hHlwvxI2MrjwDB7cadOmCTQi2Lwg7OvM4GlF6AYnBKFL01ubNm3UaR2QFcxvEN7Cm4J64doCGhEAAiQmJo+DiRMnqhogbgsXK65ohocDR4ntr3E2uaoeFU9i4hFcTEwEYoaAG2KCkAnErdCR4XfcaYJr5GvWrGkrb8WKFSo0g2O+GuEAmcEzCLfg5liQE4hWO3bsqDQhrgxhbISUscECMdIM3hWUC+EtfsemCx5hnMjB6UUaEdAQIDExeSxA8IVr67EjwcSBGxFxQRE8JpqQzOQqxqh4EpMYwcaHiIBnCBi4+dWzDJmaCJiPAImJ+X1gyRqQmFiyW9moQEOAxCTQeoT18QICJCZeAJFZREeAxISjggj4AQESEz+AzCL8jQCJib8RD5HyzB5YIQIzm0kEiAARsBwCZq8fsZ67OgBvObhDp0FmD6zQQZotJQJEgAhYCwGz1w8SE2uNJ1trzB5YFoWVzSICRIAIWB4Bs9cPEhOLDjGzB5ZFYWWziAARIAKWR8Ds9YPExKJDzOyBZVFY2SwiQASIgOURMHv9IDGx6BAze2BZFFY2iwgQASJgeQTMXj9ITCw6xHhc2KIdy2aZi0BkpLnls3Qi4AcESEz8AHIoFkFiEoq9zjb7FIGwMJFhw3xaBDMnAoGAAIlJIPSCBetAYmLBTmWTzEMApCQiQiRuXPPqwJKJgJ8QIDHxE9ChVgyJSaj1ONvrUwR4w6tP4WXmgYUAiUlg9YdlakNiYpmuZEMCAQESk0DoBdbBTwiQmHgB6P79+8uAAQPk+vXrkipVKqc5litXTn22efNmL5QaNQt8O/Grr77qNN9+/foJ6tm6dWuZNGmSXL58OcpXjd+8eVPVPXbs2PLPP/9IkiRJbHldvHhRMmXKJB06dJAxY8YYqjuJiSGYmIgIGEOAxMQYTkxlCQRITLzQjUaJydGjR1VpefPm9UKpjolJmzZt5LPPPouWf8aMGQU/33//vdSuXVsWLlwon3zyiS3dDz/8IHXr1lX/X7FihVSuXNn22dy5c6VBgwbq7x988IGhupOYGIKJiYiAMQRITIzhxFSWQIDExAvdaJSYeKEop1loHpORI0dK586dnaa7ceOGpE6dWpo2bSpTp061pWvXrp3s3btX8NVFb7/9tgwfPtz22ZdffimzZs0SeFWSJ09uqBkkJoZgYiIiYAwBg8Tk/v37EhERoTYeV65ckZw5c8qQIUOkWrVqLsvBu/3yyy87TDNixAjp0qWL7TP8Dq8v5hy856+88opUr15dlRsGka4TO3TokJQuXVru3LkjGzdulHfeecdY25kq5BAgMfFCl2vEZP/+/erl3LBhg8SKFUt5F8aOHauIAMxRKAdhkvbt28vatWtVGKVq1arq/8WLF5eZM2dKeHi4oRoaJSbIrGDBgvLw4UM5duyYLW/8DZPXs2fP1KSxe/du22fZsmWTlClTyp49ewzVBYlITAxDxYREwD0CBojJ3bt3pWzZsnL16lU1D6VPn15GjRqlSATedbzHzgzzD7ykmHNy584dJRnIDd5/GOaNTz/9VCpWrKhCx/Hjx5dNmzbJ0KFD5d1335XVq1c7LAKh4xIlSqhw94MHD9QmxxWJcQ8IU1gZARITL/SuRkyyZMkiH3/8sXppjxw5In369FE7ll9//VXixo0bjZjcu3dPChUqpF5STCTZs2eXNWvWyLJly+Ts2bMxIibwdHTs2DFaq+LEiWP7G4jP+PHj5dKlS5IuXTrRvCgoG8QEBAV1SpYsmVy4cEEyZ86sdkzYORk1EhOjSDEdETCAgAFigk3MkiVL5ODBgzYSApICggJ9GEiKMxs8eLBAhwZvRsKECQ1UKGqS999/X21oQDqwKdMbvDggTNCw4XNsojC/0YiAMwRITLwwNjRiYi8OXbBggdSrV0/mzZun/rX3mEyePFlatWqldhl6TUfz5s0lMjIyRsTEWXO2bdum3Kiw5cuXS82aNQX1w+5n6dKlSl8C0StCOdjJIA28N3PmzJGGDRvKTz/9JFWqVHGKFnZS+NEMAwuC2dvh4ZIsXjwvoMwsiEAII+CGmBw+fFh5QkEu8KO3DBkySLFixdQ77cxq1aolp0+fFoRbPDXMGSgbmx94jfWGzz766CM5c+aMYA7KmjWrmgehdaMRARITH44BjZhAo1G0aFFbSU+ePFG7Dyzs06dPj0ZMQAZASrCI623Lli0qbUxCOdCK1K9fP1pr4Z7VTtrcunVLxZMbN26sCFDbtm1VmOaXX35RzyGMVKZMGbXD+uKLLwTiV3hQkiZN6hRFDQP7BCQmPhx4zDp0EHBDTPDe47QdPJzwguotbdq0UqBAAVm/fr1TvCCMx7wAe/r0qfL0du3aVW2oHBnmNvyAcMBLi43LqlWr1NyhN3haoXeB1xgbF4STBg0aJL169QqdvmNLPUaAHhOPIYv+gLYoQy+C3Yn9pFCyZEnBqRd7jwlCPufOnZOTJ09GeQbx4Dx58sSImLgTv2oFgUDBbXvixAk1acE7Mux/111jMvn555+VGBZxZExsGmlxBhc9Jl4YSMyCCDhDwA0xyZEjh/J06rVhyOrx48eSOHFiqVOnjsyfP99h7lgEIJivUKGCmr8wj2EuQEjI/vQeMjh+/HgUHQrmN4SQEDLS27Rp06RTp06yfft2ef3112XRokXKM+vO+8pBQARITLwwBrztMYFYrXz58j4lJpiIRo8erSYf6Fyw29FCNStXrpQaNWrIgQMHlIu2R48eStnviVFj4glaTEsE3CDggpho7xpCwFOmTImSEUIr2ITA+wmSYNQgUkUotlSpUko7ojeUhw0NNHI7d+5UdzjBw7pu3TpbMhwAwEkdbMjee+899Xd4YLBxwmkhnOShEQFnCJCYeGFsuNOYIBSC8IozjYn9DuJFNCZGPSYgIhC5fvjhhyr2DH2JFqrRQj3QoUB/ggmnUqVKHiFFYuIRXExMBFwj4IKYQBsC4TzmIXt9CcImEOFDjO/p/UkI/+KkIJ51ZRrhgKc3V65cSthauHBhFa5p0qSJ7VHMJ0iDnwQJEqgfGhFwhACJiRfGhf2pHCzi2qkcxFThXo0XL57LUzmYQDC5QHOCXQaU67Nnz1YXmxkx7biwswvWcGRZf1wQYRy4fnEKB8I4exdwkSJF5LffflOCNhCVRIkSGamGLQ2JiUdwMTERiDExwek6hGBwsq937962fBDGQUgYp2F27drlEcLwhqRJk0Z5TiGSd2XQt3z11VcqJI05bOLEiYJ5yJVNmDBB3UJNIwIkJj4aAxox2bdvn9q1QJ+BI3PwSIwbN0694DBH95hArIbju/BK4BncBYALzXD8Dp4MuEONmLsr6bXTQfq8cK8ACAnCOvC06A0njFB3uHIRI/bUSEw8RYzpiYALBFx4THDyBRcf4mQfdBya4W4ReC0QikFo2KghP5AGCOMRqrEXtOrzgUYOGxvoSxAWhsGDg3lNb5ifGjVqpDwouJkamhPtbhSj9WK60EGAHpMA7GvoObDzOX/+vLpGPhiNxCQYe411DlgE3IhfoQODjgSeVxAJ6MSwsYAXpWfPnqpZuOQMuhGcxtNufUaYByfusGmCVxUEAqJViN1xyqdFixbqWVzAhrtOcL0APK84kQNxPDwl8KpCU5I/f36n8H377bfqWdQLQnsaEXCFAImJyeMDbk8Y4rlwveIWRbzsUK/jDpFgNRKTYO051jsgEXBDTHAqDuJWnKLB7xCt43QddB2a4buuEJrB/Uka4QCZwTM49oubY0FO4CXFJY04baMZjvuCmEBMe+3aNXVh5GuvvaYE80iLk3uuDHVBWdqljgGJMSsVMAiQmJjcFTNmzFDX1mOnggkFt6zC1QmPCXQpcKviXgFXBoGa/W2LJjeLV9Kb3QEs31oIGLj51VoNZmtCGQESkwDvfe3osKtqenIRm7+aS4+Jv5BmOSGBAIlJSHQzG/lfBEhMAnwk4PQMLjRyZbgEzdk3g5rVPBITs5BnuZZEgMTEkt3KRjlGgMSEI8MnCJg9sHzSKGZKBIgAESACPkfA7PUj1nOIKGiWQ8DsgWU5QNkgIkAEiECIIGD2+kFiYtGBZvbAsiisbBYRIAJEwPIImL1+kJhYdIiZPbAsCiubRQSIABGwPAJmrx8kJhYdYmYPLIvCymYRASJABCyPgNnrB4mJRYeY2QPLorCyWUSACBAByyNg9vpBYmLRIcbjwhbtWDYrZghERsbsOT5FBEIQARKTEOx0fzSZxMQfKLOMgEcgLEwkSRIR3bf+BnydWUEiYDICJCYmd4BViycxsWrPsl2GEQApiYgQiRvX8CNMSASIAG9+5RjwEQIkJj4CltkGDwK8rTV4+oo1DSgE6DEJqO6wTmVITKzTl2xJDBEgMYkhcHws1BEgMfHBCOjfv78MGDBArl+/LqlSpXJaQrly5dRn+KI+bxu+rRjfoQPD15p/8sknUYpwVEdcwvvdd9/JpEmT1PfzYHCg/vny5ZM6depI48aNDVeTxMQwVExoVQRITKzas2yXjxEgMfEBwEaJydGjR1XpefPm9Xot9MTktddek2PHjklcXazbUR27d+8uw4cPlyZNmki1atUkadKkcu7cOdm0aZP8888/8uOPPxquJ4mJYaiY0KoIkJhYtWfZLh8jQGLiA4CNEhMfFG3LUiMmVapUkdWrV8tXX30lbdq0sX1uX8d///1XwsLCpG7dujJ79uxoVXv27Jm89NJLhqtMYmIYKia0KgIkJlbtWbbLxwiQmPgAYG3R379/v0RERMiGDRskVqxY8sEHH8jYsWMlderUqlRHoZyLFy9K+/btZe3atRI7dmypWrWq+n/x4sVl5syZEh4ebqjGGjEZOXKkKh91OX36tPKCwOyJyd9//63q1a1bNxk2bJihMlwlIjF5YQiZQbAj4AExuX//vporEHa9cuWK5MyZU4YMGaI8l54Y5ogvvvhC4sSJI3fv3pX48ePbHkcZkydPlnnz5qm5IHHixFK6dGkZPHiw5MqVy5YOZZ88edJpsWPGjJEOHTp4Ui2mJQIeIUBi4hFcxhJri36WLFnk448/looVK8qRI0ekT58+asL59ddfVVjFnpjcu3dPChUqJDdv3lSTVPbs2WXNmjWybNkyOXv2bIyJSaVKlaRw4cLSu3dvGThwoENigj/myJFDrl69qkjL+++/ryYrEKqYGIlJTFDjM5ZCwCAxAYEoW7asevfw3qdPn15GjRqltGcIwWbLls0QLD///LNUrlxZvbN4dw8ePGh77sGDB/L2228r7ViPHj2kRIkScv78eTUnwBv6+++/S8qUKVV6zE/2X/qOOtasWVNefvll+eOPPyRRokSG6sRERCAmCJCYxAQ1N89oxAS7CuwuNFuwYIHUq1dP7Vjwrz0xwW6mVatWKvSCCUaz5s2bS2RkZIyJSefOnaV+/fqK4Jw6dUrSpk0bzWOCsvbs2SO1a9dWExYM3hVMmCBXeN4VSXn48KHgRzMMrEyZMsnt8HBJFi+eD1BmlkQgwBEwSEzgBV2yZIkiEhoJAUkBQcEcApLizkA4SpYsKe3atVM6MYRk4T3RDOFZlGMvhIfYHcJ4zA01atRwWgzmkNGjR8vy5culevXq7qrDz4nACyFAYvJC8Dl+WCMme/fulaJFi9oSPXnyRBImTCgNGzaU6dOnRyMmmExAStApetuyZYtKG9NQDiYVhHawi4Kbd8qUKQ6JCcp8/PixErtu3bpVUP9t27YJ9CdwKa9YscIpOdHabI8IiYkPBhizDA4EDBCTw4cPS8GCBaVfv37qR28ZMmSQYsWKKTLgyhCGffPNN9UmAsQE+dlryhDS7dq1q/KM4JSdZjiB17p1a/Wu6+cqfXl4Bh5X6NUwB9CIgK8RIDHxAcLaIg29CCYXvcFbgZ3NDz/8EI2YIOSDUzD28V24c/PkyfNCxAR1wO5r4sSJgtNA8+fPN3Sk+caNG8qLArfyqlWrVIjHkdFj4oOBxCyDGwEDxAREAuTgwoULki5dumhzRYECBWT9+vVOccB7h3kDG56ffvpJ5syZI19++aVs375dSpUqZXsOc0qRIkWkfPnyMn78eCV0R77NmjVT3hVsVpxZmTJlZN++fWreQHiaRgR8jQCJiQ8Q9rbHBKQAE8qLeEzQTJAMHB1+99131a7JyF0reA47NsSX4SLGrsuIUWNiBCWmsTQCBogJdF0gCbt3744CBTyXEKfi/iBsIpwZQqyHDh1SRCRZsmTSsmVLFfbF+4fnNYNmBPNHixYt5NGjR+rPyZMnl6+//lqFap3ZrFmzpFGjRkoQD2E8jQj4AwESEx+g7E5jMnfuXKXZcKYxwc4HblPNvKEx0fKC0r9Xr14qf4SNtEvgMBFiMEDcZm+YlCCY0+ptBDISEyMoMY2lEXBDTLR3BO+3vccCp+gQWoG+pFOnTg5hwjwzbdo02bVrl9JzwXB6786dO0qgqhlCsZ999pkiPz179hR4YU6cOKHE+JkzZxaIZh2JWW/duqXE+jit99tvv0W5B8nS/cbGmY4AiYkPusD+VA5OxWinciBuwwQRL148l6dyBg0apE7lgDwg7AONCARsDRo0MFRj/XFhaEw0w5FB7NIuXbqk/qQRE8Sps2bNqnZocA1jooMSH94auH5Rb8ShjarxSUwMdRMTWRkBN8QER3bxjmO+sNeX4P0HccC84egCxqVLlyoBPTYx0H/Anj59qkLH0INBw5YkSRJ1bBieDoRw4VnRn/DBlQQQ2SMtwj/2Bu/K1KlTBRo3hHPybzulAAAgAElEQVRoRMBfCJCY+ABpjZggLovfsSPBiRZMGOPGjZM0adKoUh3dY4JYM+4tWbdunXoGYRdMGtB2eKKId0ZMUC52WU2bNo1CTODenTBhgmzcuFFNhjgVgPJxrT3uX8Hkph0nNAIZiYkRlJjG0gi4ISbYHIBI4Igwju1qBu8lNGX4Ogh4QxwZdF/ff/+9S/ggrM2fP78K3+I9xrutN+hO4BFxRIxwQg+C2s8//1wQzqERAX8iQGLiT7RjWBbCL5i4cIw3Y8aMMczFv4+RmPgXb5YWgAi4ISbQfUDnAa/FokWLbA0YOnSoCreCSEBb5siw6UHIRm848gvvJsS08LLAy4HbmhGuwdF/nK7RH/nHnUbw1KxcuVJd5KgZ7jXBPSfw6OAYsnYhZAAizCpZFAESkwDrWLhcYblz57Yd3cXRPyjnobgPFiMxCZaeYj19hoAB8Su0W9CRIHQDfQhIAryq8KJADwK7fPmyCq3iSzQRWnFm0KpAzHr79m3bDc9Ii7z69u2rwrQQsoJ44NgvQji1atVSd6joTTtCDBGt5ln1GUbMmAg4QIDEJMCGxYwZM9S19QjF4CggdjsQrsFjAl0KdlmIJbsyXGUf0xtbvQUHiYm3kGQ+QYuAAWKCdxziVlx8ht9xB0mXLl3UKTjNQCJw+RkuYITuw5m98cYbSsAOL4fetBM5IBwQvYKY4FQeSAqOC+u/A+vatWvqviP8/PLLL6bPI0Hb96z4CyFAYvJC8Pn/Ye3osKuSPTlW7KsWkJj4ClnmGzQIGCAmQdMWVpQI+BEBEhM/gu2NohBXtt8R2ecLoZujY7/eKN9oHiQmRpFiOssiQGJi2a5lw3yLAImJb/EN2dzNHlghCzwbTgSIABEIcgTMXj9iPbf/GssgB5TV/y8CZg8s9gMRIAJEgAgEJwJmrx8kJsE5btzW2uyB5baCTEAEiAARIAIBiYDZ6weJSUAOixevlNkD68VbwByIABEgAkTADATMXj9ITMzodT+UafbA8kMTWQQRIAJEgAj4AAGz1w8SEx90aiBkafbACgQMWAciQASIABHwHAGz1w8SE8/7LCie4HHhoOgma1YyMtKa7WKriECIIEBiEiId7e9mkpj4G3GWJ2FhIkmSiOi+EI+oEAEiEHwIkJgEX58FRY1JTIKim6xTSZCSiAiRuHGt0ya2hAiEKAIkJiHa8b5uNomJrxFm/lEQ4C2rHBBEwDIIkJhYpisDqyEkJoHVH5avDYmJ5buYDQwdBEhMAqCv8U3C+H4b/ZfvzZo1S33759mzZyVr1qyGaunuC/60/KtVqyZbtmyRf/75R+LEiWPL+8CBA1KkSBFJmzat+qp1vW3btk3KlCkj48ePl7Zt27qtD4mJW4iYwJsIkJh4E03mRQRMRYDExFT4/1u4t4nJkCFDpHz58tFali1bNkmdOrWMHj1aOnfurL7W/M0337SlGzt2rPTp00fu3bsnf/zxh+TOndv2WUREhPTt21cOHTokBQoUcIsaiYlbiJjAmwiQmHgTTeZFBExFgMTEVPh9Q0wWL14stWvXdtqy/fv3S9GiRWXo0KHSvXt3W7oaNWpIkiRJ5Oeff1YEpUWLFrbPKlSooEjJtWvXJFasWG5RIzFxCxETeBMBEhNvosm8iICpCIQ0Mbl+/br06tVLVq9erRbcZMmSSc6cOWXAgAFSsWJFKVeunPz9998ybdo06dSpkyDU8corr0i/fv1UmGXVqlVqAT927JjAGzFy5EipXLmyrUNPnTolgwcPlu3bt8tff/0lYWFhKlQCj4be6+Btj4k7YvLs2TNJlSqVFC9eXNasWaPqq/1t+PDhsmnTJnn69KksWrRIffbo0SNJkSKFVK1aVZC3ESMxMYIS03gNAQ+Iyf379wUewIULF8qVK1fUO493EiFOV7Zy5UqZNGmS/P7772peSJQokRQuXFjNF6VKlYry6IMHD2TYsGEqPIuwaJYsWVQItE2bNtGKwFyAPO3t/fffV3MMjQiEGgIhTUxAIuA9AHnA5HTr1i31/7x580rdunUVMcGEgUW8a9eukjFjRpkwYYJggsJktGTJEunZs6ckT55cBg4cqIjLmTNnJH369Gocbd26VVasWCElS5ZUIZSbN2/K7NmzZe3atSptrly5VDpvE5PvvvtOPvzww2hjWa8nqVmzpmzYsEG1GX/XvCjHjx9XxATk6+rVq7Z2lC1bVk3KLVu2NPSOkJgYgomJvIWAQWJy9+5dwVjG2AY5wbs6atQogT5L22A4qxLSP3nyRAoWLKjmBLy3eE+wqcE8AZ0YDKFQzB2nT59Wn2M+Wb58uXp/pk+fLl9++aWtCJAkbIjwXn322WdRiobWy6i+zFswMh8iEAgIhDQxSZo0qTRu3FigrXBkmFwgEt27d68KfcBALtKkSSPx4sUTeEQ0EnLw4EEpVKiQfPXVVw53RXgWXgh4JvLly6d2Z2PGjPEJMXE2sC5cuKDIFQwi1vbt28vOnTsVcUJdMEFfunRJ6UswmWKyRV1BujDBHj16VPLkyeMw+4cPHwp+NMPAypQpk9wOD5dk8eIFwlhnHayMgEFiEh4erjYUeF/h5YSBpOA97tChg3oHPDF4FbGJmT9/vo1YdOvWTb1P2Hzkz5/fll2xYsWU4ByERbMdO3ZI6dKlZd26dVKpUiVPimZaImBZBEKamEA3AU8BwjQI3YB8xNVd0ARicuLECbVY6w2TGHYyWNQ1Q7gjfvz4Ki9tcsPuasSIETJv3jxFYh4/fmxLD28NQkgwb3tMEI555513og1a7PS09kEvgv/Dhd2jRw+pXr26JE6cWLm3YQhZIUzVunVrlRdICdzezqx///7Ki2RvJCaWnTsCq2EGiMnhw4fVmAfJxo/eMmTIICAO8Gx4YnjXu3TpIr/99pvKG5sPbFwwn8BzqbeGDRvK3LlzBV6SBAkSqI+0DQJCQy+//LInRTMtEbAsAiFNTDAZDBo0SJYtWybnzp1Tws9atWopMgE3qqYxsY//gpRgJ4SQjt4gCm3VqpVMnDhR/RkxZbhvsYOC+xgak5deekl5aaDZgPvYF8TEncYEZT5//lxNoIiRQ2eCSRFi2ObNm6s61alTR6XBThB1RehHIy2O3gZ6TCw7RwRHwwwQk3bt2qn3EZ7DdOnSRWkX3ndoPdavX++yvfB44gf6NOg/4GWB5xFhHhhCufDEgKjbkx/NAwv9CTYxsPr166v3KmXKlMqbAi0K/obNgkZegqMDWEsi4D0EQpqY6GE8f/680oPglApcq1isX5SYYLLBSRcI4PSGcEr27NlNJSaoD07uoJ3QmiCcow/VgFxhcoXbG0ePIyMjpWnTpoZHHjUmhqFiQm8gYICY5MiRQ20Odu/eHaVEeDLhLQQZBxF3ZXhPdu3apZJAWwbNGN5xzUB6MmfOrAj+lClTbH+HtwabAOhJEA7WDNo1aM0wH0Cb8s0338jSpUulWbNmMnXqVG8gwzyIQNAhQGJi12XwmCDuC0HbixITeCEw2eknGOyyoC+BB8VMjwmajd0jQjUQyuLkkCZ2xWeYSF9//XX1GSZKhLQwsRs1EhOjSDGdVxBwQ0y08WhPGFC2Jvz+v/bOBN6q6f3/T6NKIpKhQZokQ0hShvSNVF99w1fSIBkjpZSoSGkkSUhUlKlEhgYpkoyhFFEZGigRSfSSkiH/13v9vvv+zz2de88595x79jn7fJ7X677k3r3XXuu91t77s57nWWsTliEUm58RAt21a5fzjBAGRYiwH1Bo7hX/5vfknzRu3Nj9HaGxadMml0dC8ntehpeyQYMGLr+LRN3QhPWkcFIhIpABBLJWmGzfvt15AsiEZyMxEmGXLl3q8ip4GTNzSlSYEFMmzsyyQV7yy5Ytc0uKcePi7i0sYZLXBmt4arzkV8YmHhKSWwlB4T3xlgfzNx6Q3koicmp4qMZjEibx0NKxCROIIkxIOMUrESnEQjiX+37VqlUu6TtW8+4fvKyEQT0jsbZ9+/YuiRzjPkLwcI2xY8dGXdmGeMJDyeSIc2UikG0EslaYkBPhrUoh+RR3Li7YSy65xC0NZo+CRIUJS3HZYXXOnDlu9sMeJjzAbvvfZ9kLS5jkNYjZs4WHcKgRayepldAN+TGhhveI/JuOHTu6BN54TMIkHlo6NmECUYQJCewkuJIL4t1/XJP7Hg8Hy3+9EE2sdfE+4RDpvkLY4zUh0RVPI0mu3Ht4WsjZys947qxZs8ZNBmLZzDDW+uo4EcgUAlkrTDKlgzK1nhImmdpzGVrvKMIEoUBOCKvhQj2DTBQQFgsXLoz4GYf8aLBMmERzPK3edgKRjscTwwZsrJYjpJOf4WFlcsRnI3r37p2hnaFqi0BiBCRMEuOns/MgIGGioZFSAjEkv7LShTwSPBfsesyqOkIreFHYKBFjl1b232HlnJcbxjLili1bOo8n3g4+rDlx4kT74IMPXJiWVXeeTZ482Vh1Q0IrXlK2FGBTRryzhFg9Y1nyE0884Zbp46lllQ/1YTkxHkr+xgo+mQhkIwEJkwzodWZ77I+QnxUrViyt3L4SJhkwsIJUxRiECeFbcj1Ynsu/2XeEPUhYCu8ZK/NYZTN+/Hj3rSj2J2Ibeb6uTWiG81hmz8cvSRwn7BJqCBUEDQIHDw2reFimHL6vEHsY4UEhD4VVOuS4sUEju8IiTGQikM0EJEwyoPcfe+wx922e/IwP74U/JP1smoSJn/Sz8NoxCJMspKImi0BGEpAwyYBu++mnn5z7OD/DdcysK11MwiRdeiJL6iFhkiUdrWZmAwEJk2zoZR/a6PfA8qHJuqQIiIAIiEASCPj9/ijyDwkUssAR8HtgBQ6oGiQCIiACWULA7/eHhElAB5rfAyugWNUsERABEQg8Ab/fHxImAR1ifg+sgGJVs0RABEQg8AT8fn9ImAR0iPk9sAKKVc0SAREQgcAT8Pv9IWES0CHm98AKKFY1SwREQAQCT8Dv94eESUCHmJYLB7RjC6tZEyYUVskqVwREIMMISJhkWIdlSnUlTDKlp3yuZ/nyZmXLmv3vw5Y+10aXFwERSAMCEiZp0AlBrIKESRB7NcltQpQMHWpWokSSC1ZxIiACmUxAwiSTey+N6y5hksadky5V026t6dITqocIpBUBCZO06o7gVEbCJDh9WWgtkTApNLQqWAQymYCESR69N3jwYLvjjjvc58grVKiQZx97H8574403CjQOXnnlFbvnnnts5cqVxjdxDjroIKtdu7a1aNHC+vXrl1NmtWrV3Ef6+KBfJpiESSb0ks91lDDxuQN0eRFITwISJgkKk9WrV7sS6tatG3cP83l0Pq3+3//+1zp06GAHHnig+7T64sWLbenSpfbhhx9KmMRNVSdkDAEJk4zpKlVUBFJJQMIkQWGSSGcdccQRhifkzTff3KuYPXv2WNGiRSVMEgGsc9ObgIRJevePaicCPhGQMIkiTJYvX25Dhw611157zYoUKWKtW7e2e++91w4++GB3ZqRQzqZNm6xXr15GmKZYsWL273//2/3/KaecYlOmTLEuXbq4c8uWLWvnnXeeTZ8+PWr3RwrlbNy40QYMGGCvvvqqbd++3apXr25XXXWV3XjjjTmi5uuvv7YjjzzS7rrrLvvzzz9twoQJtmXLFjv22GPd75o1a5br2mvWrLFBgwa59npldu/e3a6//vqodQw9QKGcuHBl58FxCJOdO3e6+/Dpp5+277//3oU7R4wY4e6f/Oyll16yBx980IVKt27damXKlLETTzzRhWlPO+20PE/966+/XDh14cKFdumll9oTTzyRcyzX5j7Jy8aMGePuQZkIiEDBCEiYRBEmeDUuvvhiO/vss23VqlU2cOBA91D84IMPrESJEnsJk99++81OOOEE27Ztm3uQ1qxZ0+bPn28zZ860r776KpcwOeecc4zclFtvvdUuuOACJxYQMpEsXJiQ+8ID9o8//nDX4e88hMeNG+fCQ+PHj3fFeMKkSpUqRlt4YOKNGTVqlH388cfOW9OoUSN3LGGpxo0bW9WqVa1v37526KGHOnGFELv99tudYInVJExiJZXFx8UoTHbs2GFNmjSxH374wY31ww8/3EaPHu3unc8//9xq1KiRJ0SOR2TUq1fP5YpxPzCOEeeIFUR7JLv66qvtqaeest9//93ChQb3fvhH0anj+eef73LEPvvsMyeAZCIgAgUjIGESRZjwIufB5Nm0adOsY8eO7qHFf8M9JggCvAvz5s1zMy7Prr32WuetCPWYrFu3zj3MeEBipUuXdsIAkXLNNdc44eNZuDDp37+/3XnnnU4g4YnxrFu3bkbuCg9sBJQnTHiYc71SpUq5Q3/99VcnZk466SRbsGCB+x31RXzxU65cuZwye/ToYY888oh99913Vp69JyLY7t27jR/PGFiIoe1duli5kiULNjp1VrAJxChM8DA+99xztmLFihwRgkhhTHN/IlLisWeffdbatWtnU6dOdbld4YZoxxvDvTRy5EgngBBG+dlNN93kkthnzZpl//nPf+Kpjo4VAREIIyBhkseQ8FblkIBav379nKOYfSEgLrvsMveyDhcmPPAQJYANNTwTHBsqTPg73ot33nnHPfy4FsdxLtfk956QCBcmDRs2NGZpiIhQW7JkifG3hx56yBBDnjAhHPPAAw/kOpYHPq5x3OSEefbbbz/nbQkVYpyAcGnVqpW9/PLL1rJly4jEPF7hf5Qw0TMnTwIxCJNPP/3UeTvwcoR77CpVqmQnn3yyEwPxGEIGjyAeQ8oOtRdeeMGJFcY6HsixY8faL7/8kkuoh1+LiQXeS+6N2bNnx1MVHSsCIhCBgIRJFGFCvggPwFAjxEH448UXX9xLmBDy2bBhw14xaDwYRx999F7CJPzyhIKuvPJKe+aZZ1xsnFkbFi5MCBHxO3JBQo364qkYNmyYCxF5wsT7/9BjWY5MngkPXkRO5cqV871JiLMTb49k8pjo+RI3gRiESc+ePd19wGq1ww47bK/78Ljjjsvx+OV1fcQ/P4Q/586d67ws5HwR5gk1VsIxecDrycTjzDPPtM2bN+ebT8L5HLds2TIXCiVcKhMBEUiMgIRJFGGSLI8JHpGmTZtGFSZUB5c1eSqhuSLxekwI53Tt2jVmjwnCgvANwiOvRFfi8cTQYzHlmMRCKcuPiUGY1KpVy4UP8QSGGh6+fffd19q2betCMvkZk4j333/fHbL//vvb448/bm3atMl1ConkeBoJoZIYi5DhWDyFTBLyMvYVuvzyy11Y9ZZbbsnyDlXzRSA5BCRMogiTvHJMnnzySevUqVOeOSbhYY9IOSbMxsJngVSHVTrt27d3M7rb/vdxs3Bhwmoc4t/M1MgT8YyQDTO+WHNMcEF7XheScZlV8hIomWBeiIRJcm7QQJcSRZh4Y4h7h9BkqLFajnAnYZk+ffrki+mTTz6xXbt22fr1613uCN6X9957z3kwMfKtWKHDZMBbfYP345hjjslXcOBpJI+LFXqEhUJzwgLdb2qcCBQyAQmTKMLEW5XDS9tblcMqAO/lHZ5jEroqh/AJIRdyTgj7EFZhtta5c2d3VTZUY7kusWnKZAUAyawk0ZHH8tFHH+UIl7xW5fz99982ZMgQ50LGTU0eCZ4W3N9Y+Kqc3r17u9kgIRzKx5PjLZvkYXz66acbs1TK4Jo8tNeuXWtz5syx119/PebhKGESM6rsPTCKMCFZm/uH/KXw/BLuLVbIcU/Gs7mhJzgIYyLsMbwnLEFmjHuCnARZPI7PP/+8W5EXmgzudRj3CJ5J8sII58hEQASSQ0DCJIowwSPBg3HRokVuHxP2TSAhrmLFiu7MSPuYMCMjhs3+IpzTvHlzlzeCWzg0a3/ixIluOS6zLR6MJNaSH4IIIj8kNOcjr31MWJ1DGXSkt48J4sPbnC10HxOEz6RJk9xSSW82SN1CjePx1FAmxx1wwAFOqFB36hSrSZjESiqLj4siTFgFRn5XqOcQWoRx8Haw/NcL0cRKETGOh5GxjLhhnDLGw5f/hpaHZyZ0F2b+Rj7Kqaee6kKfmfKZiFgZ6TgR8JuAhEmKegAXMmEZYtnRkkyTWSVPmNx9993GksZUmYRJqkhn8HWiCBPEAnkeLGPHg+EZng6EBZufkbcVj7FqbsaMGU5YIDjwcPLvcCN8xGo1QjtMQkK9MngcyUfBo/PFF1/kbLYYTz10rAiIQN4EJEwKYXSwyRlWp04dN7sjBHL//fe7vRNCd5AshEvvVaSESSoo6xoFIhBD8iseQfJI8G6wX4+3hBcvCnlWGLlaeBrZ9ZjQCsYyYkKkeEfwiLC5IR5KQqXRElURHoRuOB8RE26EScnlYl8ikmVlIiACySUgYZJcnq60yZMnu91SEQWsdmEnVfZGwGOSaFJpvNWVMImXmI5PGYEYhAn3D8mt7LfDv9l3hD1I2JjQM/YOIU+EpG/yPtgNmU0B3377bZfoynl4PQi9ICi88Gte7SRvhV2Y8XIijEKN8OZRRx3lfkigJVQrEwERSC4BCZPk8lRp/yOgUI6GQlQCMQiTqGXoABEQgcARkDAJXJemR4MkTNKjH9K6FhImad09qpwI+EVAwsQv8gG/roRJwDs4Gc2TMEkGRZUhAoEjIGESuC5Njwb5PbDSg4JqIQIiIAIiEC8Bv98fRf7JbwOBeFuj49OGgN8DK21AqCIiIAIiIAJxEfD7/SFhEld3Zc7Bfg+szCGlmoqACIiACIQS8Pv9IWES0PHo98AKKFY1SwREQAQCT8Dv94eESUCHmN8DK6BY1SwREAERCDwBv98fEiYBHWJalRPQjo21WRMmxHqkjhMBERCBXAQkTDQgCoWAhEmhYM2MQsuXN7vzzsyoq2opAiKQdgQkTNKuS4JRIQmTYPRj3K1AlAwdalaiRNyn6gQREAERgICEicZBoRCQMCkUrOlfqDZNS/8+Ug1FIM0JSJikeQdlavUkTDK15xKst4RJggB1ugiIgIRJIY0B76u+U6ZMsS5durirPPbYY3b55Ze7T7BXq1bN/Y795Z555hnjU+pffPGFc2FVqFDBjjnmGGvbtq37lLtnfMl00KBBNnjw4EKqdfKKlTBJHsuMKknCJKO6S5UVgXQkIGFSSL0SqzDp16+f3XXXXXb11VfbeeedZ/vtt59t2LDBXn/9dfv5559tzpw5EiaF1EcqthAISJgUAlQVKQLZRUDCpJD6OxZhsmvXLitfvry1a9fOHn/88b1qsmfPHitatKiESSH1kYotBAISJoUAVUWKQHYRCJww+fHHH+3WW2+1efPm2ZYtW6xcuXJWu3Ztu+OOO+zss8+2s846y7Zu3WqTJk2yPn362EcffWSHHHKIC5EQZpk7d64NHDjQPv/8c6tRo4bdfffd1qJFi5xRsXbtWhs+fLi988479u233zphcdJJJ9mIESPsuOOOyzkuFmFCPQ4++GC75ZZb7M4YlldGCuWsXLnStfett94yhE6dOnXsxhtvtMsuuyynLm+88YY1bdrUnnzySVu+fLlNmzbNtm/fbqeccoqNHTvWTjzxxFyj/sMPP7QhQ4a4Nu7cudOOPvpo69+/v1188cUx3x0K5cSMKlgHxihMGFdDhw61p59+2r7//nt3j3IP4TXMz1566SUX9mTcc/+UKVPGjV/u79NOOy3XqYRI8ThyjxMmrVixon333XcRi//yyy/t5ptvdp7Kv/76yxo1auTufe5tmQiIQGoJBE6YICJ4+SIeeNj98ssv7v/r1q3rPBMIEx5q5HHwIKpcubI98MADxgOPh9tzzz1nAwYMsP3339+9nHmorV+/3g4//HDXMwiA2bNnuwcXomLbtm3O2/HKK6+4Y4866ih3XCzChONq1aplP/zwg8sbadWqlTsfARLJwoUJD9sGDRq4By7C6qCDDrKnnnrKPewJD9E+zBMmVapUcQ9a8lYQJlwT8Ua9q1ev7o5dtGiRE2INGza07t27Ow7Tp093+TGh+TLRhqmESTRCAf17DMJkx44d1qRJEzfuESfcW6NHj3bj1JsQ5EWH4xEO9erVc/cw9xljn3HMfX3kkUfmnMo1ypYtayeccIK7HxjX3Ofhxj197rnnOqF+/fXXW6lSpez222+3jRs3OkHDfS4TARFIHYHACRNyNHjx3nvvvREpIkzefPNNwytQv359dwzigpd7yZIlDY+IJ0JWrFjhHmr333+/9ejRI2J5f//9txFyIVmV2d6YMWPiEiZLly61iy66yD0EMerPAxXvRKdOnXKJlHBh0r59e3vxxRdtzZo1hujwDIFDG5kdIiw8YYIood2e8CGXBWGEdwUPEoZ3pHTp0rZkyRIrXrx4TpmtW7e2ZcuW2aZNm3KFl7wDdu/ebfx4xsCiTtu7dLFyJUumbkTrSv4SiEGYkAzOBID7C68khkjhvsPbh0iJx5599lk36Zg6dap16NBhr1PXrVtnNWvWdJ5QJhuh9vvvv7vJQNWqVZ0o98Y8IgcPKMdznkwERCB1BAInTJo1a+Y8JIRpCN0gPkqEbPaEMMFtG+7S5aHISpnFixfn0P/jjz9sn332cWV5D0tma6NGjXKeCUTMn3/+mXM8MzJCSFisHhOOpQxcyMzcEA5vv/22C8sgdPDOeEIiXJgQgjr55JNd+CnUvAc1daFOnjChDbQl1OCB2KAt/CBUOK5nz565jkO4dOvWzVavXu3ES7jhfcHjFG4SJqm7mdPiSlGEyaeffuq8HXg5+Am1SpUqufE8a9asuJrCeO3bt699/PHHruxwmzFjhhP6iPjzzz8/15/53YUXXmgvv/yytWzZMudvTDh4blxyySUu9CkTARFIHYHACRPizsOGDbOZM2e61S24ci+44AInJg499NCcHBNmRKGGKDn22GP3cvUiBnDvjhs3zh1+ww03uBg3eSF4NsgxIUEVL80BBxzgREC8wiS8u3/66SfnRaEsRAceECxcmDC7Y/b5yCOP5DBzDnwAACAASURBVCqC3JAzzjjDiaeOHTvmCBPv/0MP5sFLGIoVQO+++66dfvrp+Y4+xBNlh5s8Jqm7adP6SlGECYKX++ebb76xww47LFdTuD/xUixYsCDfJuKh5Id8Mu4PvCy9evVyYaFIRn4UOVx4JUM9ixxLyIbzmEgcccQROad7EwvuD0KjMhEQgdQRCJwwCUXHgwiPA0tyeeHOnz8/YWFy4IEHWps2bVy+RaiRq4K7OBnChHKZNTK7C80ViddjQnuJncfqMSGeTvIsD3JmkZEMtzfhpmimHJNohAL69yjCBI8cYp5QYajhNdx3333d3j2EZPIz8rvef/99dwihSnK8uCfzMu4BvKgImXBDlCBOKI+8Ks/IzyL5FdHjhWcD2mNqlgikHYFACxOPNh4TvAEkyHmrcgrqMSHBlIfnww8/nNOZzNoIu+BBiUeY8DCmAygz3JjhIRBYSUOuCRYuTIin44omhu7lxXAcdSFeHp5jQliLnJbwHJPOnTvneF1IGOblER4einfkSpjESywgx+cjTLwxce2119pDDz2Uq8EIB8ZnpHBjOJlPPvnEhTpJSmclD96X9957L2KIkXNJXiW/Cs9guHEeq3mYuJDgTej20UcfdV4UwraEccjlkomACKSOQKCECStNWBbLC5uZPzN7XsQkr+EBYCaWqDAhUZRliAiH448/3iWEMrPigUYiXzzChLATISSEDvkwuJlZsUAZ9913nyuPnBOWREYSJt6qHFzizPrw5tBGfghdEXfHwlflsJkbrIjxk3TIqhwvCRFBQ6wdkUWYiLg/ycGfffaZm3USr4/FJExioRTAY/IRJl4SKvlI4fklhF+5T1etWuVW0MVq5DyReI5XdOTIkXudhteUEE1ef+cE7jUmAYgdDI8MSe+TJ0924p77SiYCIpA6AoESJuQ5EGsmgZUYMR4Jsu2JE+Oa5QWfqDBh+fFNN93k9kdARDAT44F422235YgA/hFL8ivJtSxVXrhwoXsgIxLwZrDkkVUw5LGEPhTz2seE5c3ePiYkpsLA2wY/VJjgfUGoETOn41keyeolb3WSN+yYkbLcGkFD7gkeHV4WJBB27do1ptEpYRITpuAdlI8w4SWP0MUb4d0vAOA+Zdyy/NcL0cQKBlHNPchePoibcCPXDI8pgpq8rbyMZwceGEJDCH32RuEnPGQba710nAiIQMEJBEqYFBxDsM/0PCbRHs7JpCBhkkyaGVRWPsKE70Lx4melGCvHPEPYIywQ6Hg84zGWCTOuEdzhAptyvORWvDXeXj3RykeUk1fCCqLQEGm08/R3ERCB5BCQMEkOx7QuRcIkrbsnWJWLkvxKyIQ8ErwbeOzY8Izdh/Gi4PnDNm/e7MKarHTzcrlYRkyIEe8Iq9/4EObEiRPtgw8+cGFVvIuesR0AXj/snnvuceFWb8kvyduhOzSzP9GZZ57p9jEi7EMYlPAp9Tr11FOD1TdqjQhkCAEJkwzpqESqKWGSCD2dGxeBKMKEkAl76RBO5N/sO0IuVOj+IqykY5XN+PHj7brrrjNCnggI9vch0ZXzEBIIB3YnJjwbauy3E55c6/2d0CnnYL/99pu7LrlT/JuVdf/5z39c2JelyzIREAF/CEiY+MM98FdVKCfwXRy5gTHs/JqlZNRsERCBGAlImMQISofFR0DCJD5egTlawiQwXamGiIBfBCRM/CIf8OtKmAS8g/NqnoRJlna8mi0CySMgYZI8liophIDfA0udIQIiIAIikJkE/H5/FPmHNYSywBHwe2AFDqgaJAIiIAJZQsDv94eESUAHmt8DK6BY1SwREAERCDwBv98fEiYBHWJ+D6yAYlWzREAERCDwBPx+f0iYBHSI+T2wAopVzRIBERCBwBPw+/0hYRLQIaZVOQHt2PBmTZiQJQ1VM0VABFJFQMIkVaSz7DoSJgHv8PLlzcqWNfvfxysD3lo1TwREIIUEJExSCDubLiVhEuDeRpQMHWpWokSAG6mmiYAI+EVAwsQv8gG/roRJgDtYm6gFuHPVNBHwn4CEif99EMgaSJgEslv/r1ESJgHuXDVNBPwnIGGSwj4oUqSIDRo0yAYPHpxzVe+z7Xya/YcffnCfdK9evbo1btzYfbLdM+8LqnwpOBNMwiQTeqmAdZQwKSA4nSYCIhALAQmTWCgl6ZhwYTJ37lz3mXVEx9VXX22HHXaYbd682T788EObPn26bdq0ScIkSexVTBIJSJgkEaaKEgERCCcgYZLCMREuTJo0aWLffvutff7551a8ePFcNdmzZ48VLVpUwiSF/aNLxUhAwiRGUDpMBESgIASySpgQQrnjjjtsxYoVNnToUHv11VetWLFi1qVLFxs1apStW7fOevbsae+++64ddNBB1q1bN7v55ptzuAJryJAh9vzzzztBcfDBB1vbtm1t+PDhtu++++Y6rk+fPvbCCy/Y7t277fTTT7f777/fjjrqqFyhnGOPPdbKli1r77//ftS+ixTK2bZtm9122202a9Ys+/HHH61y5crWvn17u/32222fffbJKRNBdP3119txxx3nwkMbNmywGjVquOMuueSSXNf+/vvvXR3x5mzZssUqVark+Nx66617iaf8Kq1QTtQuzdwD4hAmO3fudPfa008/bYyt2rVr24gRI+y8887Lt/0vvfSSPfjgg7Zy5UrbunWrlSlTxk488UR3/5522ml7nfvmm2+6e3Pp0qVunJ5//vl233332X777Zdz7Jdffunul48++siFTRH/tWrVcvc8Y1wmAiKQHgSyUpggEDp16mSnnnqqLViwwImS7t2722uvvebEyNFHH23Tpk2zKVOmOBFy4YUXGg9YHoiEVwYMGGDHH3+8rVq1yr3c69ev785FAPBNwmbNmtnixYvd3xo0aOCEzpNPPmnr16/PJUwI3zzyyCPWo0cP69ixo5100klWIo8lmOHC5Pfff7eGDRs6McXDmvq8/fbbNnLkSGvevLkTFp5RrypVqriH9MCBA52IGj9+vM2fP99mzJhhF110kTuUF8cpp5ziPDW0EfHy3nvv2bBhw5zggUesJmESK6kMPC5GYbJjxw7DK4gIQJwcfvjhNnr0aCNPCi8h4ysv4/i//vrL6tWrZxUqVLCvv/7a3TuIZcTKkUcemXMq99bll1/u7ml+PvvsMzehQHSHjtkXX3zRFi5c6O7jQw891BijY8eOdfUhdNquXbsM7AxVWQSCRyArhQleg969e+f0JjOxjz/+2Hk4LrjgAvd7Hoo8SM844wwnTu68807nNSBZ9eSTT845l7/xYn/55ZetZcuW7mXPf5mt3XDDDTnHMUvk/NDk159++snN7N555x13HKIEIdO6dWsnlPCmeBYuTCZMmGDXXnutPfvss85r4xki65ZbbnHeoHPOOcf9GmFSunRp++qrr+yQQw5xv/v7778Njw3tXLNmjfsd5U2dOtUJrqpVq+aUCa+bbrrJ/b5u3boR7wI8Q/x4xsBCDG3v0sXKlSwZvDsnm1sUozDBC/Hcc885D6UnQhAp3Fc33nijEynxGGMd8cAY7dChgzsVgXPCCSc4j8fDDz+cUxz3D//PPbb//vvneRmEDvcEk4SJEyfGUx0dKwIiUEgEslKYfPHFF86l7BkPOWZMeEVKlSqV83tWxvzxxx8uGZVwzK+//mqsngk1PBflypWzvn372l133eVEAeIA9zPhIM+Y8THLC1+Vw98pn5kc/2X2xrnVqlVzbmlmi1i4MOEBjVeEOiE8PPMetNQDMYXxd1znc+bMyVV3L7T1zTffuDAQP3htEGihhgv8mGOOcV6W6667LuJQ9MoK/6OESSHduX4WG4Mw+fTTT523g/HOT6gRHkTcE4KMxxAy3GdMIigbY1LAvYPoZkWbZ5MmTbJrrrnGli9f7kJAeRn3HJOB8IlEPPXSsSIgAsklkJXChHwM74UPTm9mh+s51BADiARcx8Si165dmyf9K664wh599FG76qqr7PHHH7c///wz17EIGLwWkYRJ6IGch6i499573UMYkYOFC5Ozzz7bubcj1QnPC23i4ewJE+rl/b93PWaUCA3vQc95eFDyMmL4hIIimTwmyb0x07q0GIQJeRvkiCB6WW0WaoRRyHcijJqfkQPCD/crIhwvS69evVxYCOP3eF/wdiCaQ80b23gjQ3NSCLXiLUTQ4/2knngHKb+kPHtpPexUuewhIGESozBp1KiR/fbbbzZ58uSIowOhg5ejIB6T8AK3b9/uZn+EhAgRRRImeEz4Gx0YyWPSr18/l2/iCZNYPCa8QMhVIZk3kvES4CcWU45JLJQy9JgYhAlCvnz58rZkyZJcjUR4k+NE+JGQTH7GPeclhhOOQfC3adMm5xTOJ6cEUdGqVatcRZF3hRcPbx918ax///65PInkgfETugIuQ3tF1RaBwBCQMIlRmPCyJk8kPPEufCTEk2PCniXhs0nK42HMQ/nKK690ybGRhAnx8K5du+bKi+E4z93NbBSviidM8sox4UXheV2YeSJ2aCMvlURMwiQReml+bhRh4vU9OUsPPfRQrsYQWiFZnHHKyrX87JNPPrFdu3a5pHHuPbwvJGOTnI5x/pgxY1zStpc75ZXH/kCs1Pn5559ziQ5CPnhBCXlyDxHefOKJJ5zAkYmACKQHAQmTGIUJ3hISYXEf41LGs4CbeePGjS7RlIckq2T4XdOmTZ2bmLANsfS8VuVQBnkdJLvWqVPHnUtYhWRTXM2s7MHlHUmYeKtyeNAyO+Q43NY8wEl6jXVVTuhqBIQSgggRQ+Iuq5e4DiEjBAvuceobi0mYxEIpQ4+JIkxYKVazZk3nsQjPL2GFF+HA/BKpI1FZvXq1y3MK9QReeumlbvUc4jrU44GYQai0aNHCJYfnZdxv5Lvg6UTwyERABNKDgIRJjMKE7kKckFDKElsEAS9w4tN4JgjheLM2QjGs+iGJlORZYtwPPPCAEx+hOSY8NEkAJMkVUUCeBh4UlljicvZmhpGECb9jHxNW+nj7mPCQJZGXa0Tax4QHO6IHMcUqCV4Q3uoGbzgymySGz0ySpdEsMSZpl4c8dQrdryW/ISxhkh43eKHUIoow+e6779wLn3HEviGeISAY04Q9Y9m7J7Tu7D1CYjbjHXGDkdzKcmDusdBwJr8j52vevHlu3OZl5JsceOCBTvB4K+MKhZcKFQERiItAVgmTuMgE6GBvg7Vx48alrFUSJilDnfoLRREmvPDJCQn3WJDzhLBgFQ1exXiMnComBIh4QkGYF7YM9b6wPBhPJKvuFi1alO8lSM5lWTHhILygMhEQgfQgIGGSHv1QqLWQMClUvNlXeAzJr3jXEA54N9i0j51c2cwMLwqb92F4CdnrhhVj3h4khD5J+sY7QgI4nklyQbyPXeKZ9AzvHt489tbBS0j4k5VjeDYJg3qJ2pTPPcDGh3gkyUmZOXOmPfPMM24ZPRuvsQO0TAREID0ISJikRz8Uai0kTAoVb/YVHoMwISxJ3hVb0fNv9h1h+TsbCno2e/Zst8rG2x+HkAy7ILODMYmunFexYkW3QzOeDW/JfChwElwJm5KwzSciKA9xErqHEB4RcqlI8uaBh+ChPiS8XnbZZVqRk30jWC1OcwISJmneQZlaPYVyMrXnYqh3DMIkhlJ0iAiIgAhEJCBhooFRKAQkTAoFa3oUKmGSHv2gWohAQAlImAS0Y/1uloSJ3z1QiNeXMClEuCpaBERAwkRjoFAI+D2wCqVRKlQEREAERKDQCfj9/ijyD2sLZYEj4PfAChxQNUgEREAEsoSA3+8PCZOADjS/B1ZAsapZIiACIhB4An6/PyRMAjrE/B5YAcWqZomACIhA4An4/f6QMAnoEPN7YAUUq5olAiIgAoEn4Pf7Q8IkoENMq3LSoGMnTEiDSqgKIiACIhAfAQmT+Hjp6BgJSJjECKowDitf3qxsWbOQD+gVxmVUpgiIgAgUBgEJk8KgqjLd1t98yG17ly5WrmRJEUkVAUTJ0KFmJUqk6oq6jgiIgAgklYCESVJxqjCPgISJT2NBm5/5BF6XFQERSBYBCZNkkVQ5uQhImPg0ICRMfAKvy4qACCSLgIRJskiqHAmTdBgDEibp0AuqgwiIQAIEJEwSgFdYp3799dd25JFH2pQpU6xLly7uMo899phdfvnl9tVXX1m1atViuvQbb7xhTZs2dccuXrzYGjVqlOs8yn7uuedsx44dOb//888/bfLkyfbII4/YunXr7Pfff3efkz/hhBNcXS644IKYri2PSUyYkn+QhEnymapEERCBlBKQMEkp7tguVhjC5PTTT7e33347qjC55JJL7IUXXrBevXrZWWedZfvss4+tX7/e5s+f7wTKww8/HFMjJExiwpT8gyRMks9UJYqACKSUgIRJSnHHdrFkC5MWLVo4YTF79mxr3bp1TiXCPSZ4Y6pXr26333673XHHHXtVds+ePVa0aNGYGiFhEhOm5B8UhzDZuXOnDR061J5++mn7/vvvrXbt2jZixAg777zz8q3Xm2++ac8884wTuozVMmXK2BlnnGF33nmn1axZM89z//rrL2MsLly40C699FJ74oknch37999/2z333GOPPvqobdiwwapUqWL9+/e3K664IvmcVKIIiEDaEpAwCemaH3/80W699VabN2+ebdmyxcqVK+ce1rykzz77bOdB2Lp1q02aNMn69OljH330kR1yyCE2aNAgF2aZO3euDRw40D7//HOrUaOG3X333e5B7NnatWtt+PDh9s4779i3335r5cuXt5NOOsm9DI477ric45ItTKZPn25DhgyxIkWK2IoVK6xYsWLuWuHC5MMPP7QGDRrYQw89ZNdee21Cg1bCJCF8BT85RmFC+K5Jkyb2ww8/OHFy+OGH2+jRo43wnzd+86pErVq1rG7dunb++ec7Icu4HjBggJUsWdKNrwMPPDDiqVdffbU99dRTLjw4ZswYu/HGG3OOQ5Qgmt977z13v1E+AoWxS52oq0wERCA7CEiYhPQzImL58uVOPCBIfvnlF/f/PCTbtWvnhMnKlSutQoUKdvPNN1vlypXtgQcesJdeesk9TMnX4AHN/h0IAYQLYRAe+thbb73lvBbkehAW2bZtmz3++OP2yiuvuGOPOuood1yyhcmMGTPcS6NNmzbuYe/NQMOFyW+//ebaVKpUKdee5s2bx5zPEn67SJj49ACJUZh4fY+QQERjiBTGKoIBkZKXbd682Q477LBcfyYnCeExbdo0a9++/V6njho1ygnwbt262ciRI/cSG4MHD3YCCS9M48aN3fm7d+929SFPintLJgIikB0EJExC+nm//fazq666yu69996IvY8wwY2NZ6F+/fruGMRFxYoV3YufmaMnQnjgkzB6//33W48ePSKWxyyR8Mgxxxzj3OfMIgtLmFx00UXO3Y7oWbNmjRMfkZJfX375ZbvsssucZwg76KCD7F//+pdzvYeGgcIbxEuEH88YWLjitcFaih8kMQiTTz/91OrVq+c8ffyEWqVKlezkk0+2WbNmxVVxEqavvPLKXMLXK4CcpQ4dOhhjCxE/duxYJ/rxSGJ4J0n2vvjii13Cd6iddtppLjmb+0kmAiKQHQQkTEL6uVmzZs5DQpiG0A3io0TIDpoIky+//NK+++67XKMDMcJKGVa+ePbHH3+4xFHK8mafxNiZOeLORsSwAsYzvDWEkApTmFA/HvTkAtxyyy0RhQnX37Vrl/PivPvuu7ZkyRLnXqeu119/vY0bNy7incGMN1JeioRJih8kMQiTnj172oMPPmjffPPNXp6PQw891IUVFyxYEHPFCc00bNjQhYDIU/LEOQUsXbrUeRrHjx/vBO+ZZ55peFwQx54xEejdu7d98MEHdsopp+S67qmnnmo//fRTruNjrpgOFAERyEgCEiYh3YaXYNiwYTZz5kyXfFe2bFm3PBYxwQPbyzEhnBNqiJJjjz3WzQZDjZyO0Jf5DTfc4F4IiAJi5uSYkEyKl+aAAw5w7u3CFCaUTXu4DiEmXPbhy4UjjeKNGzday5YtbfXq1S6UhYcn3OQxSZP7PwZhQo4IYw/RGWqIz3333dfatm1rU6dOjalBiBI8HXPmzNkrN4lxg2C55pprnGjFO0iYs1WrVi551rNzzjnHeUTwnIQbnhSEDiJZJgIikB0EJEzy6GcequSD9OvXz1hqy6qWRIUJSYHkeYS7q8nrYDVDKoQJs1pEFKKEZN9YhAmI7rvvPreEmBcKL6JophyTaIQK6e9RhInXLyQ3k+QcangL8RLi4cPTF80YPwhdPB140rp27Zpzyq+//uq8c4QzvdU3CFtEreex8w4mXIinxPMYer8nTMrfunfv7nK5ZCIgAtlBQMIkSj/z4GW2xmwuUWHCQ5bZaOheIKzkIb8ED0oqhAnNZQbLy4IkQ2bN3gZrvEzw8uApCjdeZBMmTHDJiQi1aCZhEo1QIf09ijBh0zxEMKG38PwSvIWsKlu1apVL+M7POIaco59//tmeffZZw+sRaghwliDjSSH/CuM4xMvzzz/vQqXkmBDeJFxKvlO4YCfkSW4T9wheFpkIiEB2EJAw+V8/b9++3WX/k6RXp04dIxGW+DgP6gsvvNC5thMVJsTY8TgwYzz++ONt2bJlbkkxuSisjEiVMCFHBnc++1jguveECUm95557rrHJGkKJlRe8eHgxTJw40bWfPShi2ctEwsSnB0gUYULfk+DKCpjbbrstp5KEcY4++mi34uz999/Pt/J4NhgjrCwjfMn9Emr0PaHJf/75J89y8Mww3jimdOnS1qlTJ7fbcKgxBgk58hOa6+UTWV1WBEQgRQQkTP4HmhwJQhUkiLJyhQd11apV3QOYpcFsIpWoMGElwk033eRmkYgB9jBh6aT3gkiVMKHJ7NfC8s1QYUL9yIF5/fXX7YsvvnChHl4IiBhW9ZCgyEskFpMwiYVSIRwTRZggBMjzINkaD4ZnjEPGBMLT+4xBpNqxyoxxQJiG1TZ4AcONZeeI+nDD64YYxlvHSjbPK0NokfsrNOeFTd+YJPApBgS9TAREIHsISJhkT1+ntKUSJinF/f8vFkPyK7upkkdC6IbcDm8JL14U9uHBWDnDcm8Ss73QI3knLGlHULOSxgvReBdnmXHx4sUjNpzEV0I3JFGzr06oESJEtPTt29f9ndApdevcubPz1MlEQASyi4CESXb1d8paK2GSMtS5LxSDMME7iMjAK8G/2dMEUcBOrp6R+E2eCMt8r7vuOreiBmGBNySSEbohWZUcpUhGTgqeEbx0CKNQw4vDqh0ECl47QkMkvLIvikwERCD7CEiYZGCf8yBnc7b8jG3n83pJpKLJEiapoBzhGjEIE59qpsuKgAiIQEwEJExiwpReBxF359s8+dmiRYtcToxfJmHiE3kJE5/A67IiIALJIiBhkiySKSyHnTDZYTM/47s7rCzyyyRMfCIvYeITeF1WBEQgWQQkTJJFUuXkIuD3wFJ3iIAIiIAIZCYBv98fRf7Jb7ODzGSqWpuZ3wNLnSACIiACIpCZBPx+f0iYZOa4iVprvwdW1ArqABEQAREQgbQk4Pf7Q8IkLYdF4pXye2Al3gKVIAIiIAIi4AcBv98fEiZ+9HoKrun3wEpBE3UJERABERCBQiDg9/tDwqQQOjUdivR7YKUDA9VBBERABEQgfgJ+vz8kTOLvs4w4w++BlRGQVEkREAEREIG9CPj9/pAwCeig9HtgBRSrmiUCIiACgSfg9/tDwiSgQ8zvgRVQrGqWCIiACASegN/vDwmTgA4xvwdWQLGqWSIgAiIQeAJ+vz8kTAI6xPweWAHFqmaJgAiIQOAJ+P3+kDAJ6BDze2AFFKuaJQIiIAKBJ+D3+0PCJKBDzO+BFVCsapYIiIAIBJ6A3+8PCZOADjG/B1ZAsapZIiACIhB4An6/PyRMAjrE/B5YAcWqZomACIhA4An4/f6QMAnoEPN7YAUUq5olAiIgAoEn4Pf7Q8IkoEPM74EVUKxqlgiIgAgEnoDf7w8Jk4AOse3bt9sBBxxg33zzjZUrVy6grVSzREAEREAEkk0AYVKlShX75ZdfbP/990928VHLkzCJiigzD1i/fr3VqFEjMyuvWouACIiACPhOYN26dVa9evWU10PCJOXIU3NBlG758uVt48aNvije1LSy8K7izRjkcSoYY/ErGDfvLPETv8QIJHY2HveqVavazz//7DzvqTYJk1QTT9H1/I4RpqiZhXYZ8UsMrfiJX2IEEjtb4y+z+UmYJNZ/aXu2bszEukb8xC8xAomdrfEnfokRSOxsv8efhEli/Ze2Z/s9sNIWTIwVE78YQeVxmPiJX2IEEjtb4y+z+UmYJNZ/aXv27t27beTIkda/f3/bZ5990rae6Vox8UusZ8RP/BIjkNjZGn+ZzU/CJLH+09kiIAIiIAIiIAJJJCBhkkSYKkoEREAEREAERCAxAhImifHT2SIgAiIgAiIgAkkkIGGSRJipKGrHjh1222232bPPPmvbtm2zOnXqWL9+/eySSy6JevktW7bYzTffbC+99JLt3LnT6tWrZ8OGDbNmzZpFPTcoBxSU3wsvvGAzZsywpUuX2rfffmuHHHKInXbaaTZ48GCrVatWUPBEbUdB+YUXzBgePny4HXPMMbZy5cqo1w3KAYnymzVrlo0ZM8Y++ugj+/vvv61atWrWs2dPu+aaa4KCKN92JMJv0aJFNmLECFuxYoV7/rFx2FVXXWXXX3+9FStWLPD8fv31Vxs6dKh9/PHHbvxs3brVBg0a5J5hsVgq3x8SJrH0SBod07x5c/dyvPPOO6127do2bdo0e+SRR2zq1KnWoUOHPGtKMtjJJ5/sthjm3IoVK9qDDz5oc+fOtddee82aNGmSRq0svKoUlF/Dhg3t0EMPtfPPP9890Nh4jYcc/33//ffdCzYbrKD8QtnwYDz11FPdxk0VKlTIKmGSCD/u21tvvdWuAMeaSgAADH1JREFUvfZaa926tZUoUcI+//xz++eff6x79+7ZMPysoPx4xp177rl25plnWq9evWzfffe12bNn2wMPPGA33HCD3XfffYHn9/XXX9sJJ5zgJqS8O3hvxCpMUv3+kDDJoOH48ssv27///W8nRtq3b59Tc27WVatWuV1e81L+48ePdzODxYsXW6NGjdy5f/31lxukZcuWtQ8++CCDSBSsqonwY7aAmAu17777zs1YO3fu7G7yoFsi/Dw2jLkGDRq4FwQzV2Zt2eIxSYTfsmXL7JRTTnEr7fB6ZqMlwq9Tp0723HPP2U8//eREiWeIFSYW7HQadEPAYkWKFHH33cEHHxyzMEn1+0PCJING49VXX23Tp0932wQXL148p+ZPP/2085a8++671rhx44gtOuecc9zsnhlWqPGgGzBggG3atMkqVaqUQTTir2oi/PK6Gt4TQjmvvPJK/BXKsDOSwY/Q4aRJk5yQPu+887JKmCTC7/LLL7dnnnnGvVhLly6dYSMnOdVNlN/zzz/vPMZFixbNqVC7du3sjTfesB9++CE5lcyQUuIVJql+f0iYZMhAopp4OogrL1myJFetecgfe+yxNmHChDxjzYcddpidccYZLjcl1Ajl8ILgxYrnJciWCL9IXPhQIqKEGD9x/6BbovxWr15tJ510kpGv06pVKzvrrLOySpgkwo8PchL6uvHGG12ewNq1a417Gk/AkCFDrGTJkkEffgk9//AIE64mp4SJWJkyZWzOnDl25ZVXOi9Unz59As8vtIHxCpNUvz8kTDJoOBIXZIY+f/78XLXevHmzHX744S7ngQ3VIhkPriuuuMIefvjhXH9+7733nJclPDyUQVhirmoi/MIvQkiCWcTy5ctdKIJPhAfdEuG3Z88eN84Yv4w1LNuESSL8SpUq5cQHnlKESd26dW3hwoUuX4xZPzlmQbdE+MGGMHbbtm2NECxG2BtR0rdv36Cj26t98QqTVL8/JEwyaEhyYzJzmjdvXkRhwk3GCp28hAmzg4ceeiiiMCEcFMvKngzCtVdVE+EXWhix2i5duriXAe7hNm3aZDKWmOueCL/Ro0e7l8Bnn32Wk6uTjcIkkfv3zz//tPD7FA/K2LFjbc2aNVazZs2Y+zITD0xk/JGjg5eOJHZWMJFn8vrrr9uoUaPcKseBAwdmIpIC17kgwiSV7w8JkwJ3bepPTMQVnGpXXOrpRL9iIvy80hEluIMfe+wxe/zxx50rPVusoPxIymZZO7N7EoU9I4TIkndmsnw2Iei5EwXlBy/u3++//97xKl++fA7DV1991a02If/k4osvDvRQTIQfq8BYIswy2dAFAqxKIe8JYYc3L1ssXmGS6veHhEkGjUSUPjOm8ORXEmJZpZNf8iv5IyS/MmMNNV4WhH/Ym4NwUJAtEX5w8UTJlClT7NFHHzUSErPJCsqP5MKmTZvmi4o8HWb+QbaC8oMJ4gMREi5MyA1r0aKF22PnoosuCjI+5+ko6POPUBjPSO7dUGNPJ5Ze819WPGaLxStMUv3+kDDJoJFICAd3JEKEuLJnLVu2tE8++STf5cKEcLp16+aWxuHOxMiTYF07y4X5fdAtEX6IElYFTJ482SUZ8+9ss4LyYyUEe5eEG/tJsEyTl0XlypUDH4ooKD+4TZw40bp27brXfkUIunHjxhmJ2EcccUSgh2Qi/PCGEL5hHIZ6TNgXhtw8fs/WCdli8QqTVL8/JEwybCSiXD/88EO766673IOcGQTLL5966inr2LGjaw2xQMIM69aty3lYsUFO/fr1jc+BexussTadzPRs22CtIPx69OjhXgAkEIeLEsIQJ554YoaNpIJVt6DjL9LVsi3HBAYF5Ud+CeEI7mlW4ZD8yn1L7s51113nNgrLBisoP28jNSZxCDxW5ZA8fM8997gk7AULFmQDPpef+Ntvvxm7wPIsIxnYCwEy6YVLOrw/JEwybDiyJTMqP3RLekIxoYmrJGYiTL766iu3AZhnrNUP3ZIebwkZ/meffXaGUSh4dQvKD44bNmyIeGFmquyqmA1WUH4SJv9HIBF+hHFY6jpz5kwX0jnyyCOdSO7du3euvTmCPA4T4ccy9Xvvvdft5bRr1y73bOS5SQJx6KZrQeaX33PMe1+kw/tDwiTIo1BtEwEREAEREIEMIyBhkmEdpuqKgAiIgAiIQJAJSJgEuXfVNhEQAREQARHIMAISJhnWYaquCIiACIiACASZgIRJkHtXbRMBERABERCBDCMgYZJhHabqioAIiIAIiECQCUiYBLl31TYREAEREAERyDACEiYZ1mGqrgiIgAiIgAgEmYCESZB7V20TAREQAREQgQwjIGGSYR2m6oqACIiACIhAkAlImAS5d9U2ERABERABEcgwAhImGdZhqq4IiEDqCezcudN94EwmAiJQ+AQkTAqfsa4gAiKQIIEff/zRfbySr6Nu2bLFypUrZ7Vr17Y77rgj5yOU8+fPt7vvvtt9fZuv8fJxxc6dOxsfufRs9uzZNnLkSFuxYoUVK1bMfbGXr/U2atQo55jBgwe7cpctW2YjRoxwX6EtVaqUbd682R1D+ZzzzjvvGILl6KOPdtfwvtKaYFN1ughkPQEJk6wfAgIgAulPoEWLFrZ8+XIbPny4EyS//PKL+/+6detau3bt7NFHH3Vf2m3SpIldc801VrFiRfvyyy9t5cqV9uCDD7oGTps2zTp27GjNmze3bt262e7du23UqFH26aefOvFx+umnu+M8YYKw4euzfH2bT8W3adPGFi1aZNSlYcOG1r17d9t///1t+vTp9thjj9mUKVOML7PKREAEEiMgYZIYP50tAiKQAgL77befXXXVVe6z9eG2Y8cOq1Spkh1//PH21ltvWZEiRfY6Zs+ePValShU76KCD7OOPP7aiRYu6Yzi3Ro0aVrNmTXv33XdzCZPbb7/deU5CDe9I6dKlbcmSJVa8ePGcP7Vu3dp5WDZt2pRTdgqw6BIiEEgCEiaB7FY1SgSCRaBZs2bOQ9KnTx/nwahfv76VKFHCNfLVV1+1c88913lE2rdvH7Hhn332mfOu4CHp27dvrmPwnkyYMMF+/fVXl0fieUwI9yB2PFu7dq3VqlXLRo8ebT179sxVxqRJk5wXZvXq1S60IxMBESg4AQmTgrPTmSIgAikisHXrVhs2bJjNnDnTNmzYYGXLlrULLrjACQ3CMJ06dXLekjPOOCNijcgH4W9PPvmkOzbUKHfgwIHO24HnxRMm5LIcfPDBOYfiUfHCPXk1O786pAiVLiMCGU9AwiTju1ANEIHsIrBx40YjibVfv35OKPTu3btQPCYk3FaoUCEH7hdffGF16tRxia4XXnhhROhHHXWUEXaSiYAIFJyAhEnB2elMERABHwngMcGLsX79eqtcubLVq1fP3njjjTxzTKpWreo8IISEvDwUklqrV6/uQjR4VTDPYxIuTPgbibccO3fuXB9brkuLQLAJSJgEu3/VOhHIeALbt2+3pk2bWocOHZzHAo/E0qVLXfgFz8XUqVPdqhySY//1r3+51TmHHHKIkRNCnsi4ceMcA29VTqtWraxr165uVQ7Lizkm0qqcSMKEVTktW7Z0q39YgUPoZ9u2bUYOC4JnxowZGc9bDRABvwlImPjdA7q+CIhAvgQQEL169bLFixfb119/7fYowfvBUt6bb745Z+Mz9ji566673D4j//zzj1WrVs0uu+wyd4xns2bNiriPSePGjXOOyc9jwkGffPKJW7aMd+bnn392K31IrGUfEwSPTAREIDECEiaJ8dPZIiACIiACIiACSSQgYZJEmCpKBERABERABEQgMQISJonx09kiIAIiIAIiIAJJJCBhkkSYKkoEREAEREAERCAxAhImifHT2SIgAiIgAiIgAkkkIGGSRJgqSgREQAREQAREIDECEiaJ8dPZIiACIiACIiACSSQgYZJEmCpKBERABERABEQgMQISJonx09kiIAIiIAIiIAJJJCBhkkSYKkoEREAEREAERCAxAhImifHT2SIgAiIgAiIgAkkkIGGSRJgqSgREQAREQAREIDECEiaJ8dPZIiACIiACIiACSSQgYZJEmCpKBERABERABEQgMQISJonx09kiIAIiIAIiIAJJJCBhkkSYKkoEREAEREAERCAxAhImifHT2SIgAiIgAiIgAkkkIGGSRJgqSgREQAREQAREIDECEiaJ8dPZIiACIiACIiACSSQgYZJEmCpKBERABERABEQgMQISJonx09kiIAIiIAIiIAJJJPD/ACS9BUx6uUZ0AAAAAElFTkSuQmCC\" width=\"550\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
+ "matplotlib.rcParams.update({'font.size': 12})\n",
+ "\n",
"y = np.flip(score[:-2], axis = 0)\n",
"x = range(len(importance)-2)\n",
"cols = np.flip(score[:-2].index, axis = 0)\n",
"\n",
- "fig, ax = plt.subplots(figsize=(12,15)) \n",
+ "fig, ax = plt.subplots(figsize = (5.5, 5)) # figsize=(12,15)\n",
"\n",
"plt.title(\"Ranking of feature importance\")\n",
"ax.barh(x,y, color=\"r\", alpha=0.6, align=\"center\")\n",
"ax.set_yticks(x)\n",
"ax.set_yticklabels(cols, minor=False)\n",
"ax.set_xlabel('score')\n",
"ax.set_xlim((0,1))\n",
"\n",
"for i, v in enumerate(y):\n",
" ax.text(v+0.01, i -0.3, ('%.3f' %v), color='black', style='italic', bbox={'facecolor':'white','edgecolor':'white', 'alpha':1})\n",
"\n",
+ "plt.tight_layout()\n",
+ "plt.savefig('feature_importance_ranking.pdf', dpi = 300)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"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": "3.6.1"
+ "version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
diff --git a/Visualisation/Demand.png b/Visualisation/Demand.png
new file mode 100644
index 0000000..5619dd6
Binary files /dev/null and b/Visualisation/Demand.png differ
diff --git a/Visualisation/Visualise_wind.ipynb b/Visualisation/Visualise_wind.ipynb
new file mode 100644
index 0000000..2f721c0
--- /dev/null
+++ b/Visualisation/Visualise_wind.ipynb
@@ -0,0 +1,3928 @@
+{
+ "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 calendar\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Load data and preprocess"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 65,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fp = '/Users/alinawalch/Documents/EPFL/data/meteo/wind_stations/order73063/order_73063_data.txt'\n",
+ "wind_data = pd.read_csv(fp, sep = ';')\n",
+ "wind_data = wind_data[wind_data.stn != 'stn'] # drop unwanted index rows"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_data.rename(columns = {'fkl010h0' : 'wind_speed'}, inplace = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "46381"
+ ]
+ },
+ "execution_count": 67,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(wind_data)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# drop missing data\n",
+ "wind_dropped = wind_data[wind_data['wind_speed'] == '-']\n",
+ "wind_data = wind_data[wind_data['wind_speed'] != '-']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "33445"
+ ]
+ },
+ "execution_count": 69,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(wind_data)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_data['time'] = pd.to_datetime(wind_data['time'], format = '%Y%m%d%H')\n",
+ "wind_data['wind_speed'] = wind_data['wind_speed'].astype(float)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "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>stn</th>\n",
+ " <th>time</th>\n",
+ " <th>wind_speed</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>GVE</td>\n",
+ " <td>2016-01-01 00:00:00</td>\n",
+ " <td>0.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>GVE</td>\n",
+ " <td>2016-01-01 01:00:00</td>\n",
+ " <td>0.8</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>GVE</td>\n",
+ " <td>2016-01-01 02:00:00</td>\n",
+ " <td>1.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>GVE</td>\n",
+ " <td>2016-01-01 03:00:00</td>\n",
+ " <td>0.6</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>GVE</td>\n",
+ " <td>2016-01-01 04:00:00</td>\n",
+ " <td>0.9</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " stn time wind_speed\n",
+ "0 GVE 2016-01-01 00:00:00 0.6\n",
+ "1 GVE 2016-01-01 01:00:00 0.8\n",
+ "2 GVE 2016-01-01 02:00:00 1.0\n",
+ "3 GVE 2016-01-01 03:00:00 0.6\n",
+ "4 GVE 2016-01-01 04:00:00 0.9"
+ ]
+ },
+ "execution_count": 71,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "wind_data.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_data['month'] = wind_data.time.dt.month\n",
+ "wind_data['hour' ] = wind_data.time.dt.hour"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Approx power curve (from Dan)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 192,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_speeds = [0, 1, 2, 3.2, 3.5, 4, 5, 6, 7, 8]\n",
+ "powers = [0, 0, 0, 10, 20, 50, 110, 290, 420, 460]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 197,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "coeff = np.polyfit(wind_speeds, powers, 5)\n",
+ "p = np.poly1d(coeff)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 198,
+ "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, fig.canvas.height);\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": [
+ "[<matplotlib.lines.Line2D at 0x326461588>]"
+ ]
+ },
+ "execution_count": 198,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plt.figure()\n",
+ "plt.scatter(wind_speeds, powers)\n",
+ "x = (0.2 * np.array(range(40)))\n",
+ "plt.plot(x, p(x))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Select data\n",
+ "Geneva data is almost complete, apart from 17 hours - use this data\n",
+ "\n",
+ "Take average over 2 years, then take uncertainty as variance of monthly mean "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 142,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data = wind_data[wind_data.stn == 'GVE']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 143,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
+ "\n",
+ "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+ " \"\"\"Entry point for launching an IPython kernel.\n",
+ "/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
+ "\n",
+ "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+ " \n"
+ ]
+ }
+ ],
+ "source": [
+ "data['year'] = data.time.dt.year\n",
+ "data['dayofyear'] = data.time.dt.dayofyear"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 145,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data = data[data.year > 2016]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 146,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_xr = data.drop(columns = ['stn', 'time']).set_index(['year', 'dayofyear', 'hour']).to_xarray() # "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 147,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data_xr = data_xr.mean('year')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 148,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (dayofyear: 365, hour: 24)\n",
+ "Coordinates:\n",
+ " * dayofyear (dayofyear) int64 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ...\n",
+ " * hour (hour) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 ...\n",
+ "Data variables:\n",
+ " wind_speed (dayofyear, hour) float64 2.4 3.4 3.05 3.85 2.65 1.75 1.75 ...\n",
+ " month (dayofyear, hour) float64 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ..."
+ ]
+ },
+ "execution_count": 148,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data_xr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 149,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mean_wind = data_xr.to_dataframe().reset_index().groupby(['month', 'hour']).mean()['wind_speed'].reset_index()\n",
+ "std_wind = data_xr.to_dataframe().reset_index().groupby(['month', 'hour']).std()['wind_speed'].reset_index()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 150,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mean_wind.rename({'wind_speed' : 'wind_mean'}, axis = 1, inplace = True)\n",
+ "std_wind.rename( {'wind_speed' : 'wind_std'} , axis = 1, inplace = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 151,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
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+ " <th></th>\n",
+ " <th>month</th>\n",
+ " <th>hour</th>\n",
+ " <th>wind_mean</th>\n",
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+ " </thead>\n",
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+ " <th>265</th>\n",
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+ " <th>266</th>\n",
+ " <td>12.0</td>\n",
+ " <td>2</td>\n",
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+ " </tr>\n",
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+ " <th>267</th>\n",
+ " <td>12.0</td>\n",
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+ " <tr>\n",
+ " <th>268</th>\n",
+ " <td>12.0</td>\n",
+ " <td>4</td>\n",
+ " <td>2.193548</td>\n",
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+ " <th>269</th>\n",
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+ " <th>271</th>\n",
+ " <td>12.0</td>\n",
+ " <td>7</td>\n",
+ " <td>2.322581</td>\n",
+ " </tr>\n",
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+ " <th>272</th>\n",
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+ " <th>277</th>\n",
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+ " <td>3.127419</td>\n",
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+ " <tr>\n",
+ " <th>278</th>\n",
+ " <td>12.0</td>\n",
+ " <td>14</td>\n",
+ " <td>3.161290</td>\n",
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+ " <tr>\n",
+ " <th>279</th>\n",
+ " <td>12.0</td>\n",
+ " <td>15</td>\n",
+ " <td>3.112903</td>\n",
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+ " <tr>\n",
+ " <th>280</th>\n",
+ " <td>12.0</td>\n",
+ " <td>16</td>\n",
+ " <td>2.791935</td>\n",
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+ " <tr>\n",
+ " <th>281</th>\n",
+ " <td>12.0</td>\n",
+ " <td>17</td>\n",
+ " <td>2.624194</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>282</th>\n",
+ " <td>12.0</td>\n",
+ " <td>18</td>\n",
+ " <td>2.559677</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>283</th>\n",
+ " <td>12.0</td>\n",
+ " <td>19</td>\n",
+ " <td>2.519355</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>284</th>\n",
+ " <td>12.0</td>\n",
+ " <td>20</td>\n",
+ " <td>2.487097</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>285</th>\n",
+ " <td>12.0</td>\n",
+ " <td>21</td>\n",
+ " <td>2.512903</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>286</th>\n",
+ " <td>12.0</td>\n",
+ " <td>22</td>\n",
+ " <td>2.543548</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>287</th>\n",
+ " <td>12.0</td>\n",
+ " <td>23</td>\n",
+ " <td>2.490323</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>288 rows × 3 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " month hour wind_mean\n",
+ "0 1.0 0 2.840323\n",
+ "1 1.0 1 2.774194\n",
+ "2 1.0 2 2.604839\n",
+ "3 1.0 3 2.712903\n",
+ "4 1.0 4 2.646774\n",
+ "5 1.0 5 2.396774\n",
+ "6 1.0 6 2.346774\n",
+ "7 1.0 7 2.495161\n",
+ "8 1.0 8 2.614516\n",
+ "9 1.0 9 2.717742\n",
+ "10 1.0 10 3.020968\n",
+ "11 1.0 11 3.253226\n",
+ "12 1.0 12 3.479032\n",
+ "13 1.0 13 3.567742\n",
+ "14 1.0 14 3.498387\n",
+ "15 1.0 15 3.348387\n",
+ "16 1.0 16 3.200000\n",
+ "17 1.0 17 3.027419\n",
+ "18 1.0 18 3.085484\n",
+ "19 1.0 19 3.033871\n",
+ "20 1.0 20 3.064516\n",
+ "21 1.0 21 3.061290\n",
+ "22 1.0 22 2.858065\n",
+ "23 1.0 23 2.840323\n",
+ "24 2.0 0 2.069643\n",
+ "25 2.0 1 2.130357\n",
+ "26 2.0 2 2.133929\n",
+ "27 2.0 3 2.262500\n",
+ "28 2.0 4 2.241071\n",
+ "29 2.0 5 2.307143\n",
+ ".. ... ... ...\n",
+ "258 11.0 18 2.133333\n",
+ "259 11.0 19 2.015000\n",
+ "260 11.0 20 1.990000\n",
+ "261 11.0 21 1.841667\n",
+ "262 11.0 22 1.770000\n",
+ "263 11.0 23 1.738333\n",
+ "264 12.0 0 2.295161\n",
+ "265 12.0 1 2.270968\n",
+ "266 12.0 2 2.282258\n",
+ "267 12.0 3 2.229032\n",
+ "268 12.0 4 2.193548\n",
+ "269 12.0 5 2.337097\n",
+ "270 12.0 6 2.364516\n",
+ "271 12.0 7 2.322581\n",
+ "272 12.0 8 2.256452\n",
+ "273 12.0 9 2.300000\n",
+ "274 12.0 10 2.379032\n",
+ "275 12.0 11 2.782258\n",
+ "276 12.0 12 2.962903\n",
+ "277 12.0 13 3.127419\n",
+ "278 12.0 14 3.161290\n",
+ "279 12.0 15 3.112903\n",
+ "280 12.0 16 2.791935\n",
+ "281 12.0 17 2.624194\n",
+ "282 12.0 18 2.559677\n",
+ "283 12.0 19 2.519355\n",
+ "284 12.0 20 2.487097\n",
+ "285 12.0 21 2.512903\n",
+ "286 12.0 22 2.543548\n",
+ "287 12.0 23 2.490323\n",
+ "\n",
+ "[288 rows x 3 columns]"
+ ]
+ },
+ "execution_count": 151,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mean_wind"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 152,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_plot = mean_wind.merge(std_wind, on = ['month', 'hour'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 153,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_plot['dt_index'] = (wind_plot.month - 1) * 24 + wind_plot.hour\n",
+ "wind_plot.set_index('dt_index', inplace = True)\n",
+ "wind_plot.sort_index(inplace = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 156,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_plot['wind_max'] = wind_plot.wind_mean + wind_plot.wind_std\n",
+ "wind_plot['wind_min'] = wind_plot.wind_mean - wind_plot.wind_std"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 201,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "wind_plot['power_mean'] = p(wind_plot.wind_mean)\n",
+ "wind_plot['power_max'] = p(wind_plot.wind_max)\n",
+ "wind_plot['power_min'] = p(wind_plot.wind_min)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 203,
+ "metadata": {},
+ "outputs": [
+ {
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+ "\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, fig.canvas.height);\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=\"1200\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize = (12, 3))\n",
+ "ax = plt.subplot()\n",
+ "\n",
+ "LW = 1.5\n",
+ "wind_plot.power_mean.plot(label = 'mean power', lw = LW)\n",
+ "plt.fill_between(wind_plot.index.values, wind_plot.power_max, wind_plot.power_min, \n",
+ " alpha = 0.5, label = 'Deviation')\n",
+ "wind_plot.power_max.plot(label = '', lw = 0.7, c = 'C0', ls = '--')\n",
+ "wind_plot.power_min.plot(label = '', lw = 0.7, c = 'C0', ls = '--')\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "ax.set_ylabel('Wind power (in m/s)')\n",
+ "# ax.set_ylim(100, 1000)\n",
+ "# ax.set_xlim(0, 288)\n",
+ "plt.title('')\n",
+ "plt.xlabel('')\n",
+ "\n",
+ "\n",
+ "plt.legend()\n",
+ "plt.show()\n",
+ "# plt.savefig('Demand.png', dpi = 300)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 217,
+ "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, fig.canvas.height);\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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+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\" width=\"1200\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize = (12, 3))\n",
+ "ax = plt.subplot()\n",
+ "\n",
+ "LW = 1.5\n",
+ "wind_plot.wind_mean.plot(label = 'Wind speed (10m)', lw = LW)\n",
+ "plt.fill_between(wind_plot.index.values, wind_plot.wind_max, wind_plot.wind_min, \n",
+ " alpha = 0.2, label = '')\n",
+ "wind_plot.wind_max.plot(label = '', lw = 0.7, c = 'C0', ls = '--')\n",
+ "wind_plot.wind_min.plot(label = '', lw = 0.7, c = 'C0', ls = '--')\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "ax.set_ylabel('Wind speed (in m/s)')\n",
+ "# ax.set_ylim(100, 1000)\n",
+ "# ax.set_xlim(0, 288)\n",
+ "\n",
+ "ax2 = ax.twinx() # instantiate a second axes that shares the same x-axis\n",
+ "wind_plot.power_mean.plot(ax = ax2, label = 'Power (small turbine)', lw = LW, c = 'C1')\n",
+ "ax2.fill_between(wind_plot.index.values, wind_plot.power_max, wind_plot.power_min, \n",
+ " alpha = 0.2, label = '', facecolor = 'C1')\n",
+ "wind_plot.power_max.plot(ax = ax2, label = '', lw = 0.7, c = 'C1', ls = '--')\n",
+ "wind_plot.power_min.plot(ax = ax2, label = '', lw = 0.7, c = 'C1', ls = '--')\n",
+ "\n",
+ "ax2.set_ylabel('Power generation (in W)')\n",
+ "# ax.set_ylim(100, 1000)\n",
+ "\n",
+ "\n",
+ "plt.title('')\n",
+ "ax.set_xlabel('')\n",
+ "\n",
+ "lines, labels = ax.get_legend_handles_labels()\n",
+ "lines2, labels2 = ax2.get_legend_handles_labels()\n",
+ "ax2.legend(lines + lines2, labels + labels2, loc=0)\n",
+ "\n",
+ "# plt.legend(['Wind speed (10m)', 'Power (small turbine)'])\n",
+ "plt.show()\n",
+ "plt.savefig('Wind.png', dpi = 300)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 135,
+ "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>month</th>\n",
+ " <th>hour</th>\n",
+ " <th>wind_mean</th>\n",
+ " <th>wind_std</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>dt_index</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>2.720430</td>\n",
+ " <td>1.330655</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>1</td>\n",
+ " <td>2.610753</td>\n",
+ " <td>1.280289</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>2</td>\n",
+ " <td>2.448387</td>\n",
+ " <td>1.367258</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>3</td>\n",
+ " <td>2.455914</td>\n",
+ " <td>1.379033</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>4</td>\n",
+ " <td>2.441935</td>\n",
+ " <td>1.319567</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>5</td>\n",
+ " <td>2.346237</td>\n",
+ " <td>1.323315</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>6</td>\n",
+ " <td>2.336559</td>\n",
+ " <td>1.274373</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>7</td>\n",
+ " <td>2.446237</td>\n",
+ " <td>1.272317</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>8</td>\n",
+ " <td>2.546237</td>\n",
+ " <td>1.379068</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>9</td>\n",
+ " <td>2.629032</td>\n",
+ " <td>1.510328</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>10</td>\n",
+ " <td>2.919355</td>\n",
+ " <td>1.678597</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>11</td>\n",
+ " <td>3.221505</td>\n",
+ " <td>1.694906</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>12</td>\n",
+ " <td>3.362366</td>\n",
+ " <td>1.758972</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>13</td>\n",
+ " <td>3.459140</td>\n",
+ " <td>1.552124</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>14</td>\n",
+ " <td>3.423656</td>\n",
+ " <td>1.563784</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>15</td>\n",
+ " <td>3.321505</td>\n",
+ " <td>1.352297</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>16</td>\n",
+ " <td>3.080645</td>\n",
+ " <td>1.223740</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>17</td>\n",
+ " <td>2.870968</td>\n",
+ " <td>1.221497</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>18</td>\n",
+ " <td>2.822581</td>\n",
+ " <td>1.260581</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>19</td>\n",
+ " <td>2.754839</td>\n",
+ " <td>1.335375</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>20</td>\n",
+ " <td>2.815054</td>\n",
+ " <td>1.326394</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>21</td>\n",
+ " <td>2.817204</td>\n",
+ " <td>1.417898</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>22</td>\n",
+ " <td>2.680645</td>\n",
+ " <td>1.329488</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23.0</th>\n",
+ " <td>1.000000</td>\n",
+ " <td>23</td>\n",
+ " <td>2.758065</td>\n",
+ " <td>1.339817</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24.0</th>\n",
+ " <td>2.000000</td>\n",
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+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>528 rows × 4 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " month hour wind_mean wind_std\n",
+ "dt_index \n",
+ "0.0 1.000000 0 2.720430 1.330655\n",
+ "1.0 1.000000 1 2.610753 1.280289\n",
+ "2.0 1.000000 2 2.448387 1.367258\n",
+ "3.0 1.000000 3 2.455914 1.379033\n",
+ "4.0 1.000000 4 2.441935 1.319567\n",
+ "5.0 1.000000 5 2.346237 1.323315\n",
+ "6.0 1.000000 6 2.336559 1.274373\n",
+ "7.0 1.000000 7 2.446237 1.272317\n",
+ "8.0 1.000000 8 2.546237 1.379068\n",
+ "9.0 1.000000 9 2.629032 1.510328\n",
+ "10.0 1.000000 10 2.919355 1.678597\n",
+ "11.0 1.000000 11 3.221505 1.694906\n",
+ "12.0 1.000000 12 3.362366 1.758972\n",
+ "13.0 1.000000 13 3.459140 1.552124\n",
+ "14.0 1.000000 14 3.423656 1.563784\n",
+ "15.0 1.000000 15 3.321505 1.352297\n",
+ "16.0 1.000000 16 3.080645 1.223740\n",
+ "17.0 1.000000 17 2.870968 1.221497\n",
+ "18.0 1.000000 18 2.822581 1.260581\n",
+ "19.0 1.000000 19 2.754839 1.335375\n",
+ "20.0 1.000000 20 2.815054 1.326394\n",
+ "21.0 1.000000 21 2.817204 1.417898\n",
+ "22.0 1.000000 22 2.680645 1.329488\n",
+ "23.0 1.000000 23 2.758065 1.339817\n",
+ "24.0 2.000000 0 2.238095 1.061163\n",
+ "25.0 2.000000 1 2.214286 1.142607\n",
+ "26.0 2.000000 2 2.122619 1.135838\n",
+ "27.0 2.000000 3 2.248810 1.103771\n",
+ "28.0 2.000000 4 2.178571 1.063855\n",
+ "29.0 2.000000 5 2.288095 1.061725\n",
+ "... ... ... ... ...\n",
+ "269.0 12.000000 5 2.020430 0.980955\n",
+ "269.0 11.666667 13 2.766667 NaN\n",
+ "270.0 12.000000 6 1.991398 1.046227\n",
+ "270.0 11.666667 14 3.000000 NaN\n",
+ "271.0 12.000000 7 1.974194 1.012540\n",
+ "271.0 11.666667 15 3.000000 NaN\n",
+ "272.0 12.000000 8 1.922581 1.005260\n",
+ "272.0 11.666667 16 2.766667 NaN\n",
+ "273.0 12.000000 9 1.977419 0.963765\n",
+ "273.0 11.666667 17 2.433333 NaN\n",
+ "274.0 12.000000 10 2.040860 0.962162\n",
+ "274.0 11.666667 18 2.300000 NaN\n",
+ "275.0 12.000000 11 2.445161 1.086910\n",
+ "275.0 11.666667 19 2.166667 NaN\n",
+ "276.0 11.666667 20 1.800000 NaN\n",
+ "276.0 12.000000 12 2.553763 1.045791\n",
+ "277.0 11.666667 21 2.300000 NaN\n",
+ "277.0 12.000000 13 2.601075 1.119837\n",
+ "278.0 11.666667 22 2.700000 NaN\n",
+ "278.0 12.000000 14 2.600000 1.161481\n",
+ "279.0 12.000000 15 2.591398 1.243203\n",
+ "279.0 11.666667 23 3.266667 NaN\n",
+ "280.0 12.000000 16 2.268817 1.059697\n",
+ "281.0 12.000000 17 2.162366 1.099318\n",
+ "282.0 12.000000 18 2.106452 1.197634\n",
+ "283.0 12.000000 19 2.161290 1.241597\n",
+ "284.0 12.000000 20 2.159140 1.186583\n",
+ "285.0 12.000000 21 2.105376 1.190241\n",
+ "286.0 12.000000 22 2.131183 1.121009\n",
+ "287.0 12.000000 23 2.078495 1.156545\n",
+ "\n",
+ "[528 rows x 4 columns]"
+ ]
+ },
+ "execution_count": 135,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "wind_plot"
+ ]
+ },
+ {
+ "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": "3.6.4"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Visualisation/Wind.png b/Visualisation/Wind.png
new file mode 100644
index 0000000..af0d827
Binary files /dev/null and b/Visualisation/Wind.png differ
diff --git a/Visualisation/plot_rose_bar.ipynb b/Visualisation/plot_rose_bar.ipynb
index 41a0446..c17dfe7 100644
--- a/Visualisation/plot_rose_bar.ipynb
+++ b/Visualisation/plot_rose_bar.ipynb
@@ -1,19525 +1,19525 @@
{
"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",
"from matplotlib.colors import LinearSegmentedColormap\n",
"import matplotlib\n",
"\n",
"import util\n",
"\n",
"import calendar\n",
"import sys\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"path = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/shading_stats'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"colorsRGB = [(25,165,110),\n",
" (65,195,100),\n",
" (105,219,77),\n",
" (183,233,81),\n",
" (249,239,88),\n",
" (250,201,53),\n",
" (246,135,26),\n",
" (220,82,7),\n",
" (193,31,4)]\n",
"colors = []\n",
"for row in colorsRGB:\n",
" colors.append(tuple([i/255.0 for i in row]))\n",
"cm = LinearSegmentedColormap.from_list('GYR', colors, N=500)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"colorsRGB = [(47,111,191),\n",
" (51,148,190),\n",
" (65,195,153),\n",
" (105,219,77),\n",
" (183,233,81),\n",
" (249,239,88),\n",
" (250,201,53),\n",
" (246,135,26),\n",
" (220,82,7),\n",
" (193,31,4)]\n",
"colors = []\n",
"for row in colorsRGB:\n",
" colors.append(tuple([i/255.0 for i in row]))\n",
" \n",
"cm_PV = LinearSegmentedColormap.from_list('radiation', colors, N=500)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def get_cbar_extent(data, vmin, vmax):\n",
" set_max = False\n",
" set_min = False\n",
" \n",
" if vmin is not None:\n",
" if np.amin(data) < vmin: set_min = True\n",
" \n",
" if vmax is not None:\n",
" if np.amax(data) > vmax: set_max = True \n",
" \n",
" if set_min and set_min:\n",
" return 'both'\n",
" elif set_max:\n",
" return 'max'\n",
" elif set_min:\n",
" return 'min'\n",
" else:\n",
" return 'neither'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"orientation_dict = {\n",
" 'N' : 180,\n",
" 'E' : 270 ,\n",
" 'S' : 0,\n",
" 'W' : 90,\n",
" 'SE' : 315 ,\n",
" 'SW' : 45,\n",
" 'NE' : 225 ,\n",
" 'NW' : 135\n",
"}\n",
"\n",
"tilt_dict = {\n",
" 'flat' : 0,\n",
" 'shallow_tilt' : 1,\n",
" 'medium_tilt' : 2,\n",
" 'steep_tilt' : 3\n",
"}\n",
"\n",
"def get_2d_df(df, col):\n",
" new_df = pd.DataFrame( data = [], index = df.orientation_cat.unique() )\n",
" \n",
" for tilt in df.tilt_cat.unique():\n",
" subset = df.loc[ df.tilt_cat == tilt, ['orientation_cat', col] ].set_index('orientation_cat')\n",
" new_df[ tilt ] = subset\n",
" \n",
" new_df.rename( columns = tilt_dict, index = orientation_dict, inplace = True )\n",
" \n",
" return new_df.sort_index().sort_index(axis = 1)\n",
"\n",
"def get_3d_df(df):\n",
" init = True\n",
" for col in df.columns:\n",
" new_xr = df[[ col ]].to_xarray().rename({col : 'partly_shading'})\n",
" new_xr.coords['timestamp'] = pd.to_datetime(col)\n",
" \n",
" if init:\n",
" data = new_xr\n",
" init = False\n",
" else:\n",
" data = xr.concat([data, new_xr], dim = 'timestamp')\n",
" \n",
" return data"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def get_month(df, month):\n",
" return df.where( df.month == month, drop = True )"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"def rad(angle):\n",
" return angle * np.pi/180"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot fully shading bias"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
"fully_shaded = pd.read_csv( os.path.join(path, 'GVA_bias_fully_shaded_cats.csv') )"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [],
"source": [
"fully_shaded_2d = get_2d_df( fully_shaded, 'fully_shaded_ratio')"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {},
"outputs": [],
"source": [
"fully_shaded_xr = fully_shaded.set_index(['orientation_cat', 'tilt_cat']).to_xarray()\n",
"\n",
"aspect = [orientation_dict[ val ]* np.pi / 180 for val in fully_shaded_xr.orientation_cat.values ] \n",
"tilt = [tilt_dict[ val ] for val in fully_shaded_xr.tilt_cat.values ]\n",
"\n",
"fully_shaded_xr = fully_shaded_xr.assign_coords( orientation_cat = aspect, tilt_cat = tilt ).sortby(['orientation_cat', 'tilt_cat'])"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {},
"outputs": [
{
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" <td>0.074371</td>\n",
" <td>0.311588</td>\n",
" </tr>\n",
" <tr>\n",
" <th>270</th>\n",
" <td>0.097080</td>\n",
" <td>0.080816</td>\n",
" <td>0.088778</td>\n",
" <td>0.180585</td>\n",
" </tr>\n",
" <tr>\n",
" <th>315</th>\n",
" <td>0.088570</td>\n",
" <td>0.074572</td>\n",
" <td>0.062720</td>\n",
" <td>0.105338</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3\n",
"0 0.148674 0.075652 0.057701 0.089479\n",
"45 0.117747 0.078122 0.059033 0.072806\n",
"90 0.107465 0.075581 0.063524 0.145996\n",
"180 0.114250 0.082957 0.074371 0.311588\n",
"270 0.097080 0.080816 0.088778 0.180585\n",
"315 0.088570 0.074572 0.062720 0.105338"
]
},
"execution_count": 112,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fully_shaded_2d"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [],
"source": [
"# interpolate north-east and north-west values\n",
"fully_shaded_2d.loc[225,:] = 0.5 * (fully_shaded_2d.loc[180,:] + fully_shaded_2d.loc[270,:])\n",
"fully_shaded_2d.loc[135,:] = 0.5 * (fully_shaded_2d.loc[90,:] + fully_shaded_2d.loc[180,:])\n",
"fully_shaded_2d.sort_index(inplace = True)"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0.14867362, 0.12806924, 0.10746486, 0.11085749, 0.11425011,\n",
" 0.10566491, 0.0970797 , 0.08856964],\n",
" [ 0.07565168, 0.07561639, 0.07558111, 0.07926916, 0.08295721,\n",
" 0.0818865 , 0.0808158 , 0.07457249],\n",
" [ 0.0577005 , 0.06061206, 0.06352361, 0.06894739, 0.07437118,\n",
" 0.08157472, 0.08877825, 0.06271953],\n",
" [ 0.08947907, 0.11773734, 0.14599561, 0.22879205, 0.31158849,\n",
" 0.24608683, 0.18058517, 0.10533767]])"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fully_shaded_2d.T.values"
]
},
{
"cell_type": "code",
"execution_count": 119,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
],
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]
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# prepare data\n",
"data = fully_shaded_2d.T.values\n",
"theta = np.append(fully_shaded_2d.index.values * np.pi / 180, 2*np.pi) - (22.5 * np.pi / 180)\n",
"tilts = np.asarray(range(5))\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = 0\n",
"VMAX = 0.2\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar( extend = get_cbar_extent( data, VMIN, VMAX ) )\n",
"cb.set_label('Shaded area bias')\n",
"\n",
"# FORMATTING\n",
"ax.set_frame_on(False)\n",
"ax.tick_params(axis='x', which='major', pad = -5)\n",
"ax.set_yticks(range(4))\n",
"ax.set_yticklabels(['flat', 'shallow', 'medium', 'steep'])\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot count of bins"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"bias_categories = pd.read_csv( os.path.join(path, 'GVA_bias_2m-50cm_categories.csv') )"
]
},
{
"cell_type": "code",
"execution_count": 121,
"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>orientation_cat</th>\n",
" <th>tilt_cat</th>\n",
" <th>non_null_cells</th>\n",
" <th>n_cells</th>\n",
" <th>fully_shaded_ratio</th>\n",
" <th>mean_12_13h</th>\n",
" <th>mean_1_16h</th>\n",
" <th>mean_11_10h</th>\n",
" <th>mean_7_15h</th>\n",
" <th>mean_6_18h</th>\n",
" <th>...</th>\n",
" <th>mean_9_11h</th>\n",
" <th>mean_5_6h</th>\n",
" <th>mean_8_16h</th>\n",
" <th>mean_9_9h</th>\n",
" <th>mean_2_16h</th>\n",
" <th>mean_5_10h</th>\n",
" <th>mean_4_8h</th>\n",
" <th>mean_8_12h</th>\n",
" <th>mean_12_12h</th>\n",
" <th>roof_count</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>E</td>\n",
" <td>flat</td>\n",
" <td>-536.781903</td>\n",
" <td>-630.176334</td>\n",
" <td>-0.097080</td>\n",
" <td>0.023246</td>\n",
" <td>0.037497</td>\n",
" <td>0.019103</td>\n",
" <td>0.034444</td>\n",
" <td>0.028413</td>\n",
" <td>...</td>\n",
" <td>0.008136</td>\n",
" <td>0.015901</td>\n",
" <td>0.025949</td>\n",
" <td>0.029346</td>\n",
" <td>0.050161</td>\n",
" <td>0.008957</td>\n",
" <td>0.033143</td>\n",
" <td>0.006956</td>\n",
" <td>0.029727</td>\n",
" <td>431</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>E</td>\n",
" <td>medium_tilt</td>\n",
" <td>-180.073014</td>\n",
" <td>-198.256769</td>\n",
" <td>-0.088778</td>\n",
" <td>0.121046</td>\n",
" <td>-0.073918</td>\n",
" <td>0.027681</td>\n",
" <td>0.040847</td>\n",
" <td>0.128603</td>\n",
" <td>...</td>\n",
" <td>0.010530</td>\n",
" <td>0.059819</td>\n",
" <td>0.226002</td>\n",
" <td>0.024698</td>\n",
" <td>0.053656</td>\n",
" <td>0.005497</td>\n",
" <td>0.031810</td>\n",
" <td>0.004461</td>\n",
" <td>0.066126</td>\n",
" <td>9012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>E</td>\n",
" <td>shallow_tilt</td>\n",
" <td>-221.717699</td>\n",
" <td>-242.764132</td>\n",
" <td>-0.080816</td>\n",
" <td>0.047453</td>\n",
" <td>-0.012261</td>\n",
" <td>0.036524</td>\n",
" <td>0.026771</td>\n",
" <td>0.141240</td>\n",
" <td>...</td>\n",
" <td>0.013716</td>\n",
" <td>0.056510</td>\n",
" <td>0.010981</td>\n",
" <td>0.029942</td>\n",
" <td>0.104774</td>\n",
" <td>0.006477</td>\n",
" <td>0.033961</td>\n",
" <td>0.006396</td>\n",
" <td>0.044650</td>\n",
" <td>2972</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>E</td>\n",
" <td>steep_tilt</td>\n",
" <td>-58.009324</td>\n",
" <td>-73.353147</td>\n",
" <td>-0.180585</td>\n",
" <td>0.210328</td>\n",
" <td>-0.009837</td>\n",
" <td>0.049373</td>\n",
" <td>0.335695</td>\n",
" <td>0.138579</td>\n",
" <td>...</td>\n",
" <td>0.008774</td>\n",
" <td>0.047675</td>\n",
" <td>0.282284</td>\n",
" <td>0.026062</td>\n",
" <td>0.074927</td>\n",
" <td>0.006851</td>\n",
" <td>0.025869</td>\n",
" <td>0.014763</td>\n",
" <td>0.137044</td>\n",
" <td>858</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>N</td>\n",
" <td>flat</td>\n",
" <td>-626.652666</td>\n",
" <td>-709.771118</td>\n",
" <td>-0.114250</td>\n",
" <td>0.015484</td>\n",
" <td>0.012652</td>\n",
" <td>0.012909</td>\n",
" <td>0.033052</td>\n",
" <td>0.015376</td>\n",
" <td>...</td>\n",
" <td>0.009684</td>\n",
" <td>0.029189</td>\n",
" <td>0.037507</td>\n",
" <td>0.022505</td>\n",
" <td>0.024693</td>\n",
" <td>0.010438</td>\n",
" <td>0.018889</td>\n",
" <td>0.003400</td>\n",
" <td>0.019706</td>\n",
" <td>2119</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>N</td>\n",
" <td>medium_tilt</td>\n",
" <td>-171.953629</td>\n",
" <td>-194.769047</td>\n",
" <td>-0.074371</td>\n",
" <td>0.112797</td>\n",
" <td>-0.078714</td>\n",
" <td>0.088726</td>\n",
" <td>0.018712</td>\n",
" <td>0.050840</td>\n",
" <td>...</td>\n",
" <td>-0.011063</td>\n",
" <td>0.028324</td>\n",
" <td>0.063105</td>\n",
" <td>-0.008371</td>\n",
" <td>0.037783</td>\n",
" <td>0.005436</td>\n",
" <td>0.002180</td>\n",
" <td>0.002089</td>\n",
" <td>0.114362</td>\n",
" <td>55574</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>N</td>\n",
" <td>shallow_tilt</td>\n",
" <td>-226.710542</td>\n",
" <td>-251.892800</td>\n",
" <td>-0.082957</td>\n",
" <td>-0.005382</td>\n",
" <td>-0.015195</td>\n",
" <td>-0.057159</td>\n",
" <td>0.025732</td>\n",
" <td>0.027833</td>\n",
" <td>...</td>\n",
" <td>0.003622</td>\n",
" <td>-0.009451</td>\n",
" <td>0.030056</td>\n",
" <td>0.005799</td>\n",
" <td>0.062730</td>\n",
" <td>0.008694</td>\n",
" <td>0.004768</td>\n",
" <td>0.004250</td>\n",
" <td>-0.040775</td>\n",
" <td>18013</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>N</td>\n",
" <td>steep_tilt</td>\n",
" <td>-48.563454</td>\n",
" <td>-94.996185</td>\n",
" <td>-0.311588</td>\n",
" <td>0.058835</td>\n",
" <td>-0.047458</td>\n",
" <td>0.106357</td>\n",
" <td>0.057437</td>\n",
" <td>0.037128</td>\n",
" <td>...</td>\n",
" <td>0.042059</td>\n",
" <td>0.035357</td>\n",
" <td>0.095163</td>\n",
" <td>0.078349</td>\n",
" <td>0.031353</td>\n",
" <td>0.023350</td>\n",
" <td>0.079462</td>\n",
" <td>0.014000</td>\n",
" <td>0.093603</td>\n",
" <td>4980</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>S</td>\n",
" <td>flat</td>\n",
" <td>-687.193998</td>\n",
" <td>-834.147041</td>\n",
" <td>-0.148674</td>\n",
" <td>0.023957</td>\n",
" <td>0.037672</td>\n",
" <td>0.027042</td>\n",
" <td>0.042545</td>\n",
" <td>0.032716</td>\n",
" <td>...</td>\n",
" <td>0.012231</td>\n",
" <td>0.038785</td>\n",
" <td>0.047369</td>\n",
" <td>0.026970</td>\n",
" <td>0.027645</td>\n",
" <td>0.011856</td>\n",
" <td>0.014908</td>\n",
" <td>0.007694</td>\n",
" <td>0.034953</td>\n",
" <td>30454</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>S</td>\n",
" <td>medium_tilt</td>\n",
" <td>-186.152775</td>\n",
" <td>-200.767461</td>\n",
" <td>-0.057701</td>\n",
" <td>0.047063</td>\n",
" <td>-0.080277</td>\n",
" <td>0.043552</td>\n",
" <td>0.030891</td>\n",
" <td>0.104183</td>\n",
" <td>...</td>\n",
" <td>0.012625</td>\n",
" <td>0.026816</td>\n",
" <td>0.045116</td>\n",
" <td>0.027218</td>\n",
" <td>0.011545</td>\n",
" <td>0.006679</td>\n",
" <td>0.002316</td>\n",
" <td>0.004321</td>\n",
" <td>0.047174</td>\n",
" <td>9478</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>S</td>\n",
" <td>shallow_tilt</td>\n",
" <td>-222.223918</td>\n",
" <td>-245.999066</td>\n",
" <td>-0.075652</td>\n",
" <td>0.046848</td>\n",
" <td>0.014080</td>\n",
" <td>0.050297</td>\n",
" <td>0.033556</td>\n",
" <td>0.053957</td>\n",
" <td>...</td>\n",
" <td>0.014984</td>\n",
" <td>0.029282</td>\n",
" <td>0.042667</td>\n",
" <td>0.033550</td>\n",
" <td>0.022973</td>\n",
" <td>0.009704</td>\n",
" <td>0.020046</td>\n",
" <td>0.005070</td>\n",
" <td>0.043779</td>\n",
" <td>3211</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>S</td>\n",
" <td>steep_tilt</td>\n",
" <td>-76.392817</td>\n",
" <td>-83.681257</td>\n",
" <td>-0.089479</td>\n",
" <td>0.050557</td>\n",
" <td>0.009836</td>\n",
" <td>0.082068</td>\n",
" <td>0.065873</td>\n",
" <td>0.218141</td>\n",
" <td>...</td>\n",
" <td>0.024319</td>\n",
" <td>0.133431</td>\n",
" <td>0.101116</td>\n",
" <td>0.032572</td>\n",
" <td>0.073421</td>\n",
" <td>0.004413</td>\n",
" <td>0.016891</td>\n",
" <td>0.004494</td>\n",
" <td>0.056090</td>\n",
" <td>891</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>SE</td>\n",
" <td>flat</td>\n",
" <td>-569.206965</td>\n",
" <td>-641.930348</td>\n",
" <td>-0.088570</td>\n",
" <td>0.020514</td>\n",
" <td>0.034221</td>\n",
" <td>0.019853</td>\n",
" <td>0.034377</td>\n",
" <td>0.028935</td>\n",
" <td>...</td>\n",
" <td>0.015121</td>\n",
" <td>0.030534</td>\n",
" <td>0.026999</td>\n",
" <td>0.013423</td>\n",
" <td>0.027309</td>\n",
" <td>0.002940</td>\n",
" <td>0.015746</td>\n",
" <td>0.008070</td>\n",
" <td>0.037393</td>\n",
" <td>1005</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>SE</td>\n",
" <td>medium_tilt</td>\n",
" <td>-190.871177</td>\n",
" <td>-204.052032</td>\n",
" <td>-0.062720</td>\n",
" <td>0.057834</td>\n",
" <td>-0.059579</td>\n",
" <td>0.038540</td>\n",
" <td>0.031551</td>\n",
" <td>0.187994</td>\n",
" <td>...</td>\n",
" <td>0.010340</td>\n",
" <td>0.055217</td>\n",
" <td>0.119961</td>\n",
" <td>0.023737</td>\n",
" <td>0.103027</td>\n",
" <td>0.004915</td>\n",
" <td>0.028121</td>\n",
" <td>0.003843</td>\n",
" <td>0.053925</td>\n",
" <td>23870</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>SE</td>\n",
" <td>shallow_tilt</td>\n",
" <td>-264.781315</td>\n",
" <td>-286.161963</td>\n",
" <td>-0.074572</td>\n",
" <td>0.045226</td>\n",
" <td>-0.013847</td>\n",
" <td>0.036187</td>\n",
" <td>0.031514</td>\n",
" <td>0.149688</td>\n",
" <td>...</td>\n",
" <td>0.013747</td>\n",
" <td>0.049658</td>\n",
" <td>0.025791</td>\n",
" <td>0.031682</td>\n",
" <td>0.086110</td>\n",
" <td>0.006127</td>\n",
" <td>0.030903</td>\n",
" <td>0.005097</td>\n",
" <td>0.045314</td>\n",
" <td>7193</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>SE</td>\n",
" <td>steep_tilt</td>\n",
" <td>-73.199907</td>\n",
" <td>-82.904007</td>\n",
" <td>-0.105338</td>\n",
" <td>0.098562</td>\n",
" <td>-0.017124</td>\n",
" <td>0.064651</td>\n",
" <td>0.232590</td>\n",
" <td>0.189200</td>\n",
" <td>...</td>\n",
" <td>0.012968</td>\n",
" <td>0.094798</td>\n",
" <td>0.320525</td>\n",
" <td>0.019380</td>\n",
" <td>0.102636</td>\n",
" <td>0.004199</td>\n",
" <td>0.033061</td>\n",
" <td>0.005361</td>\n",
" <td>0.085654</td>\n",
" <td>2146</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>SW</td>\n",
" <td>flat</td>\n",
" <td>-376.934447</td>\n",
" <td>-458.584833</td>\n",
" <td>-0.117747</td>\n",
" <td>0.021067</td>\n",
" <td>0.009240</td>\n",
" <td>0.039371</td>\n",
" <td>0.048266</td>\n",
" <td>0.039982</td>\n",
" <td>...</td>\n",
" <td>0.014710</td>\n",
" <td>0.036208</td>\n",
" <td>0.058720</td>\n",
" <td>0.045097</td>\n",
" <td>0.035592</td>\n",
" <td>0.014520</td>\n",
" <td>0.020117</td>\n",
" <td>0.009931</td>\n",
" <td>0.040425</td>\n",
" <td>778</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>SW</td>\n",
" <td>medium_tilt</td>\n",
" <td>-167.334738</td>\n",
" <td>-181.167226</td>\n",
" <td>-0.059033</td>\n",
" <td>0.015702</td>\n",
" <td>-0.086409</td>\n",
" <td>0.032059</td>\n",
" <td>0.022604</td>\n",
" <td>0.019390</td>\n",
" <td>...</td>\n",
" <td>0.010633</td>\n",
" <td>0.092989</td>\n",
" <td>0.029665</td>\n",
" <td>0.017349</td>\n",
" <td>-0.011003</td>\n",
" <td>0.007984</td>\n",
" <td>-0.068038</td>\n",
" <td>0.003445</td>\n",
" <td>0.027431</td>\n",
" <td>24434</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>SW</td>\n",
" <td>shallow_tilt</td>\n",
" <td>-224.826504</td>\n",
" <td>-249.579047</td>\n",
" <td>-0.078122</td>\n",
" <td>0.030590</td>\n",
" <td>-0.035976</td>\n",
" <td>0.035549</td>\n",
" <td>0.030104</td>\n",
" <td>0.033707</td>\n",
" <td>...</td>\n",
" <td>0.011169</td>\n",
" <td>-0.062708</td>\n",
" <td>0.040621</td>\n",
" <td>0.024693</td>\n",
" <td>0.028018</td>\n",
" <td>0.007547</td>\n",
" <td>-0.041666</td>\n",
" <td>0.005434</td>\n",
" <td>0.036000</td>\n",
" <td>6882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>SW</td>\n",
" <td>steep_tilt</td>\n",
" <td>-71.363289</td>\n",
" <td>-80.024857</td>\n",
" <td>-0.072806</td>\n",
" <td>0.014962</td>\n",
" <td>-0.052111</td>\n",
" <td>0.039835</td>\n",
" <td>0.023437</td>\n",
" <td>0.041782</td>\n",
" <td>...</td>\n",
" <td>0.010746</td>\n",
" <td>0.082382</td>\n",
" <td>0.043761</td>\n",
" <td>0.021188</td>\n",
" <td>0.003356</td>\n",
" <td>0.010160</td>\n",
" <td>0.072596</td>\n",
" <td>0.004156</td>\n",
" <td>0.027997</td>\n",
" <td>2092</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>W</td>\n",
" <td>flat</td>\n",
" <td>-688.652299</td>\n",
" <td>-791.485632</td>\n",
" <td>-0.107465</td>\n",
" <td>0.004412</td>\n",
" <td>-0.000534</td>\n",
" <td>0.029588</td>\n",
" <td>0.036982</td>\n",
" <td>0.053136</td>\n",
" <td>...</td>\n",
" <td>0.015993</td>\n",
" <td>0.035522</td>\n",
" <td>0.036742</td>\n",
" <td>0.026511</td>\n",
" <td>0.036372</td>\n",
" <td>0.013611</td>\n",
" <td>0.007586</td>\n",
" <td>0.005196</td>\n",
" <td>0.016982</td>\n",
" <td>348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>W</td>\n",
" <td>medium_tilt</td>\n",
" <td>-179.249187</td>\n",
" <td>-199.601323</td>\n",
" <td>-0.063524</td>\n",
" <td>-0.044670</td>\n",
" <td>-0.080523</td>\n",
" <td>0.007378</td>\n",
" <td>0.012425</td>\n",
" <td>-0.000760</td>\n",
" <td>...</td>\n",
" <td>0.006096</td>\n",
" <td>0.091924</td>\n",
" <td>0.019687</td>\n",
" <td>-0.053398</td>\n",
" <td>-0.019254</td>\n",
" <td>0.002587</td>\n",
" <td>-0.040658</td>\n",
" <td>0.002588</td>\n",
" <td>-0.022412</td>\n",
" <td>8917</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>W</td>\n",
" <td>shallow_tilt</td>\n",
" <td>-220.751307</td>\n",
" <td>-247.696732</td>\n",
" <td>-0.075581</td>\n",
" <td>-0.005811</td>\n",
" <td>-0.027261</td>\n",
" <td>-0.015131</td>\n",
" <td>0.019412</td>\n",
" <td>0.024366</td>\n",
" <td>...</td>\n",
" <td>0.014244</td>\n",
" <td>-0.067845</td>\n",
" <td>0.030668</td>\n",
" <td>-0.035265</td>\n",
" <td>0.010786</td>\n",
" <td>-0.005283</td>\n",
" <td>-0.083288</td>\n",
" <td>0.004081</td>\n",
" <td>0.007820</td>\n",
" <td>3060</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>W</td>\n",
" <td>steep_tilt</td>\n",
" <td>-58.851945</td>\n",
" <td>-76.884567</td>\n",
" <td>-0.145996</td>\n",
" <td>0.003400</td>\n",
" <td>-0.065108</td>\n",
" <td>0.147600</td>\n",
" <td>0.011852</td>\n",
" <td>-0.004286</td>\n",
" <td>...</td>\n",
" <td>0.016959</td>\n",
" <td>0.003191</td>\n",
" <td>0.014840</td>\n",
" <td>0.131296</td>\n",
" <td>-0.041029</td>\n",
" <td>0.039123</td>\n",
" <td>0.087143</td>\n",
" <td>0.006197</td>\n",
" <td>0.045346</td>\n",
" <td>797</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>24 rows × 152 columns</p>\n",
"</div>"
],
"text/plain": [
" orientation_cat tilt_cat non_null_cells n_cells \\\n",
"0 E flat -536.781903 -630.176334 \n",
"1 E medium_tilt -180.073014 -198.256769 \n",
"2 E shallow_tilt -221.717699 -242.764132 \n",
"3 E steep_tilt -58.009324 -73.353147 \n",
"4 N flat -626.652666 -709.771118 \n",
"5 N medium_tilt -171.953629 -194.769047 \n",
"6 N shallow_tilt -226.710542 -251.892800 \n",
"7 N steep_tilt -48.563454 -94.996185 \n",
"8 S flat -687.193998 -834.147041 \n",
"9 S medium_tilt -186.152775 -200.767461 \n",
"10 S shallow_tilt -222.223918 -245.999066 \n",
"11 S steep_tilt -76.392817 -83.681257 \n",
"12 SE flat -569.206965 -641.930348 \n",
"13 SE medium_tilt -190.871177 -204.052032 \n",
"14 SE shallow_tilt -264.781315 -286.161963 \n",
"15 SE steep_tilt -73.199907 -82.904007 \n",
"16 SW flat -376.934447 -458.584833 \n",
"17 SW medium_tilt -167.334738 -181.167226 \n",
"18 SW shallow_tilt -224.826504 -249.579047 \n",
"19 SW steep_tilt -71.363289 -80.024857 \n",
"20 W flat -688.652299 -791.485632 \n",
"21 W medium_tilt -179.249187 -199.601323 \n",
"22 W shallow_tilt -220.751307 -247.696732 \n",
"23 W steep_tilt -58.851945 -76.884567 \n",
"\n",
" fully_shaded_ratio mean_12_13h mean_1_16h mean_11_10h mean_7_15h \\\n",
"0 -0.097080 0.023246 0.037497 0.019103 0.034444 \n",
"1 -0.088778 0.121046 -0.073918 0.027681 0.040847 \n",
"2 -0.080816 0.047453 -0.012261 0.036524 0.026771 \n",
"3 -0.180585 0.210328 -0.009837 0.049373 0.335695 \n",
"4 -0.114250 0.015484 0.012652 0.012909 0.033052 \n",
"5 -0.074371 0.112797 -0.078714 0.088726 0.018712 \n",
"6 -0.082957 -0.005382 -0.015195 -0.057159 0.025732 \n",
"7 -0.311588 0.058835 -0.047458 0.106357 0.057437 \n",
"8 -0.148674 0.023957 0.037672 0.027042 0.042545 \n",
"9 -0.057701 0.047063 -0.080277 0.043552 0.030891 \n",
"10 -0.075652 0.046848 0.014080 0.050297 0.033556 \n",
"11 -0.089479 0.050557 0.009836 0.082068 0.065873 \n",
"12 -0.088570 0.020514 0.034221 0.019853 0.034377 \n",
"13 -0.062720 0.057834 -0.059579 0.038540 0.031551 \n",
"14 -0.074572 0.045226 -0.013847 0.036187 0.031514 \n",
"15 -0.105338 0.098562 -0.017124 0.064651 0.232590 \n",
"16 -0.117747 0.021067 0.009240 0.039371 0.048266 \n",
"17 -0.059033 0.015702 -0.086409 0.032059 0.022604 \n",
"18 -0.078122 0.030590 -0.035976 0.035549 0.030104 \n",
"19 -0.072806 0.014962 -0.052111 0.039835 0.023437 \n",
"20 -0.107465 0.004412 -0.000534 0.029588 0.036982 \n",
"21 -0.063524 -0.044670 -0.080523 0.007378 0.012425 \n",
"22 -0.075581 -0.005811 -0.027261 -0.015131 0.019412 \n",
"23 -0.145996 0.003400 -0.065108 0.147600 0.011852 \n",
"\n",
" mean_6_18h ... mean_9_11h mean_5_6h mean_8_16h mean_9_9h \\\n",
"0 0.028413 ... 0.008136 0.015901 0.025949 0.029346 \n",
"1 0.128603 ... 0.010530 0.059819 0.226002 0.024698 \n",
"2 0.141240 ... 0.013716 0.056510 0.010981 0.029942 \n",
"3 0.138579 ... 0.008774 0.047675 0.282284 0.026062 \n",
"4 0.015376 ... 0.009684 0.029189 0.037507 0.022505 \n",
"5 0.050840 ... -0.011063 0.028324 0.063105 -0.008371 \n",
"6 0.027833 ... 0.003622 -0.009451 0.030056 0.005799 \n",
"7 0.037128 ... 0.042059 0.035357 0.095163 0.078349 \n",
"8 0.032716 ... 0.012231 0.038785 0.047369 0.026970 \n",
"9 0.104183 ... 0.012625 0.026816 0.045116 0.027218 \n",
"10 0.053957 ... 0.014984 0.029282 0.042667 0.033550 \n",
"11 0.218141 ... 0.024319 0.133431 0.101116 0.032572 \n",
"12 0.028935 ... 0.015121 0.030534 0.026999 0.013423 \n",
"13 0.187994 ... 0.010340 0.055217 0.119961 0.023737 \n",
"14 0.149688 ... 0.013747 0.049658 0.025791 0.031682 \n",
"15 0.189200 ... 0.012968 0.094798 0.320525 0.019380 \n",
"16 0.039982 ... 0.014710 0.036208 0.058720 0.045097 \n",
"17 0.019390 ... 0.010633 0.092989 0.029665 0.017349 \n",
"18 0.033707 ... 0.011169 -0.062708 0.040621 0.024693 \n",
"19 0.041782 ... 0.010746 0.082382 0.043761 0.021188 \n",
"20 0.053136 ... 0.015993 0.035522 0.036742 0.026511 \n",
"21 -0.000760 ... 0.006096 0.091924 0.019687 -0.053398 \n",
"22 0.024366 ... 0.014244 -0.067845 0.030668 -0.035265 \n",
"23 -0.004286 ... 0.016959 0.003191 0.014840 0.131296 \n",
"\n",
" mean_2_16h mean_5_10h mean_4_8h mean_8_12h mean_12_12h roof_count \n",
"0 0.050161 0.008957 0.033143 0.006956 0.029727 431 \n",
"1 0.053656 0.005497 0.031810 0.004461 0.066126 9012 \n",
"2 0.104774 0.006477 0.033961 0.006396 0.044650 2972 \n",
"3 0.074927 0.006851 0.025869 0.014763 0.137044 858 \n",
"4 0.024693 0.010438 0.018889 0.003400 0.019706 2119 \n",
"5 0.037783 0.005436 0.002180 0.002089 0.114362 55574 \n",
"6 0.062730 0.008694 0.004768 0.004250 -0.040775 18013 \n",
"7 0.031353 0.023350 0.079462 0.014000 0.093603 4980 \n",
"8 0.027645 0.011856 0.014908 0.007694 0.034953 30454 \n",
"9 0.011545 0.006679 0.002316 0.004321 0.047174 9478 \n",
"10 0.022973 0.009704 0.020046 0.005070 0.043779 3211 \n",
"11 0.073421 0.004413 0.016891 0.004494 0.056090 891 \n",
"12 0.027309 0.002940 0.015746 0.008070 0.037393 1005 \n",
"13 0.103027 0.004915 0.028121 0.003843 0.053925 23870 \n",
"14 0.086110 0.006127 0.030903 0.005097 0.045314 7193 \n",
"15 0.102636 0.004199 0.033061 0.005361 0.085654 2146 \n",
"16 0.035592 0.014520 0.020117 0.009931 0.040425 778 \n",
"17 -0.011003 0.007984 -0.068038 0.003445 0.027431 24434 \n",
"18 0.028018 0.007547 -0.041666 0.005434 0.036000 6882 \n",
"19 0.003356 0.010160 0.072596 0.004156 0.027997 2092 \n",
"20 0.036372 0.013611 0.007586 0.005196 0.016982 348 \n",
"21 -0.019254 0.002587 -0.040658 0.002588 -0.022412 8917 \n",
"22 0.010786 -0.005283 -0.083288 0.004081 0.007820 3060 \n",
"23 -0.041029 0.039123 0.087143 0.006197 0.045346 797 \n",
"\n",
"[24 rows x 152 columns]"
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bias_categories"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [],
"source": [
"roof_count = get_2d_df( bias_categories, 'roof_count')"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [],
"source": [
"# interpolate north-east and north-west values\n",
"roof_count.loc[225,:] = 0.5 * (roof_count.loc[270,:] + roof_count.loc[180,:])\n",
"roof_count.loc[135,:] = 0.5 * (roof_count.loc[90, :] + roof_count.loc[180,:])\n",
"roof_count.sort_index(inplace = True)"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
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"execution_count": 124,
"metadata": {},
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],
"source": [
"roof_count"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [
{
"data": {
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" return MozWebSocket;\n",
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" alert('Your browser does not have WebSocket support.' +\n",
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" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
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" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
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"\n",
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"\n",
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"\n",
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" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
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" 'text-align: center; padding: 3px;\"/>');\n",
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" this.root.append(titlebar);\n",
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" fig._resize_canvas(size[0], size[1]);\n",
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" var x0 = msg['x0'] / mpl.ratio;\n",
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" 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",
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" var width = Math.abs(x1 - x0);\n",
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"}\n",
"\n",
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"\n",
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"}\n",
"\n",
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" this.send_message(\"ack\", {});\n",
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"\n",
"// A function to construct a web socket function for onmessage handling.\n",
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" return function socket_on_message(evt) {\n",
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" /* FIXME: We get \"Resource interpreted as Image but\n",
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" * Chrome. But how to set the MIME type? It doesn't seem\n",
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"\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
]
},
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"output_type": "display_data"
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\" 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],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# prepare data\n",
"data = roof_count.T.values\n",
"theta = np.append(roof_count.index.values * np.pi / 180, 2*np.pi) - (22.5 * np.pi / 180)\n",
"tilts = np.asarray(range(5))\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = 0\n",
"VMAX = 40000\n",
"VARIABLE = 'Roof count'\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar( extend = get_cbar_extent( data, VMIN, VMAX ) )\n",
"cb.set_label( VARIABLE )\n",
"\n",
"# FORMATTING\n",
"ax.set_frame_on(False)\n",
"ax.tick_params(axis='x', which='major', pad = -5)\n",
"ax.set_yticks(range(4))\n",
"ax.set_yticklabels(['flat', 'shallow', 'medium', 'steep'])\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot timestamps"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [],
"source": [
"timestamp = get_2d_df( bias_categories, 'mean_6_19h')"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [],
"source": [
"# interpolate north-east and north-west values\n",
"timestamp.loc[225,:] = 0.5 * (timestamp.loc[270,:] + timestamp.loc[180,:])\n",
"timestamp.loc[135,:] = 0.5 * (timestamp.loc[90, :] + timestamp.loc[180,:])\n",
"timestamp.sort_index(inplace = True)"
]
},
{
"cell_type": "code",
"execution_count": 129,
"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",
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" <td>0.027931</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>0.011106</td>\n",
" <td>-0.008024</td>\n",
" <td>-0.047108</td>\n",
" <td>0.005666</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90</th>\n",
" <td>0.008055</td>\n",
" <td>-0.009573</td>\n",
" <td>-0.057891</td>\n",
" <td>-0.044646</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>0.015625</td>\n",
" <td>-0.000224</td>\n",
" <td>-0.044688</td>\n",
" <td>-0.032051</td>\n",
" </tr>\n",
" <tr>\n",
" <th>180</th>\n",
" <td>0.023195</td>\n",
" <td>0.009125</td>\n",
" <td>-0.031485</td>\n",
" <td>-0.019456</td>\n",
" </tr>\n",
" <tr>\n",
" <th>225</th>\n",
" <td>0.048681</td>\n",
" <td>0.040886</td>\n",
" <td>-0.014173</td>\n",
" <td>0.025395</td>\n",
" </tr>\n",
" <tr>\n",
" <th>270</th>\n",
" <td>0.074168</td>\n",
" <td>0.072648</td>\n",
" <td>0.003139</td>\n",
" <td>0.070245</td>\n",
" </tr>\n",
" <tr>\n",
" <th>315</th>\n",
" <td>0.055140</td>\n",
" <td>0.048709</td>\n",
" <td>-0.003128</td>\n",
" <td>0.012245</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3\n",
"0 0.027931 0.073414 -0.029422 0.065486\n",
"45 0.011106 -0.008024 -0.047108 0.005666\n",
"90 0.008055 -0.009573 -0.057891 -0.044646\n",
"135 0.015625 -0.000224 -0.044688 -0.032051\n",
"180 0.023195 0.009125 -0.031485 -0.019456\n",
"225 0.048681 0.040886 -0.014173 0.025395\n",
"270 0.074168 0.072648 0.003139 0.070245\n",
"315 0.055140 0.048709 -0.003128 0.012245"
]
},
"execution_count": 129,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"timestamp"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
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"/* 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",
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"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
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"\n",
" var fig = this;\n",
"\n",
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"\n",
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" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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",
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"\n",
" this.imageObj.onunload = function() {\n",
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"\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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
]
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WG/UdgA0IBMozyXZqXmzexiw9+Uvu0Gzr7uypvrk58MA3ACgBsBf3cOBrY+nCG4gA4D7NUYrRbuAl1XUoP/LgTOAEdxqOpsgANrt933dBasTATyVBwBlh5OclP4tgGYAznFPUN8YwAL31gUA5TT0e7KkkO35skhWrm4A3gRwLIANAFwJYHMdsiUJ/kQfZgF1RImdNpMAf57yMWUCtwXwuLtuTKbsZBrQA8DpAC7Nigw5N85bX9YEwDcATgAg33f3AZC3QDgUwqugAhkAHKoYAF8kAJoSdwRAUzxRej/kt9vcDGCuVWdAA9jDhTr5XABQ1j5kH5qZXW9LAPe7ayM6AHgLQI/Su7u2haTBn3d3hEDVkWKnvSQBoHggYghsCUB+yZWz3GQmQqYAswEw+//5nnmy+H+A+4G8UaJPzhl0dgaV/l473xefHaAWAPu9QADU7zp/LRAA/elkQ6liAChb32XdhDxAJQP4i3tTAoBNATRyd1Y9DOCfACqzbloyhHKwpoxcmQ7+n0pBkgp/ohEBUGWk2GsraQAYMQTKWx9k+YnMYMh6r1wAlHe4ynfZzwBeADDKPeTXCxg5AFiee/KMlL/lEGFexRXIAOAwxQD4PAGwuPTRlCAARqNzFK3UB4DyPkR576Fsi5fTz+V1OPJbsHf9xf3tWh6wsntKXocjGT/5efa1rvtQlW3yyq4kwx8BUFmYWG0oifDnOSSCTKCsYZZ1yzIFvCoPAMrO0O8AzHUze3KWmxwZckhO0MixI9XM/AUaSg4ATlIMgFsTAAM5QWdhAqBOdaO1XR8AykuxZYNIezd7N8R9fY6sDcx3yc4oWUQt0y75Xs2j7K6SDn+eUMwCKgsZKw0lGQDFIRohUDavfQpgLwCTXefnZgBzY0Keb7JmWWY55Jw3XuEVyADggU2UbgLZ+jnnayXIOYDh74A1CypAAExOgBSbAvbudIa7EFoyffkumU75wj1jSbbGa7nSAn8iHgFQSwhZYTTp8Oc5QRMEymyFHM5bleXscncqV7J5ssEj+zMpJr/wLnff7fqaFUFibicdAJx8kFoA7PssAdAUlxMATfFE6f3wC4DyW/F/63nvovTiaPdgTckYLi69W3UtpAn+vLsnBOqIJPNtpgUAxRMaILBVniOqZHnK1wBkqld+Uc295DVecpBvX/fND+YHibk9zADgIU2VZgD7Pi0z+cwAmuB2AqAJXgjfB5mmlakOuT5z1+3JEQmynm+hu3ZGXnAta/8E6OTUczkaRs4N/BLADu50sNSRo1/k/7IB5BV300f4ntVTM43wJ1IQAJWHkhUG0wSAmiAw18/ZU8BynIs8z152n3eyu1eeXz8AyD0b0Ip4MayTDgBOOVQtAPZ5igBoip8JgKZ4Ilw/5LU1Am+5l+yaOxWA7OjdzoU/AULZ/CGno3ubQPoD+Lc73SvTKbPc7OBNOtb/pRX+CIDhgtv2WmmDP89fGjKB2aGQDYCyRvAhAHJUlUz9fu9OGcszzu97Zm0PM539JwDqVNcA2wRAA5yQhi6kGf48/zILmIZIX3OPaQXAiDKB6QqmeO7WAcDPhzdTOgW81ZPOQRLcBBKPT9dqlQBogBOS3gXCX8bDBMCkRzrhL9vDmjOB6Qmm+O40A4CHKQbAJwiA8bl07ZYJgKZ4IqH9IPyt7VhCYEIDPee20pz9IwQmJsYdAPzi8OZo1VgNKixbXYMtH5c39TEDaEKUqPGqCXfCPhinAOGvrksIgMaFqfIOEf7WlpSZQOUhFpXBDAAeoRgAHyMARuXAYu0QAIspxM9DKUD4yy8bATBUOFlViQBY112EQKtC2OusA4BfjlALgFs8SgA0JRoIgKZ4IkH9IPzld+Z3C2XdM/Ddz/LqZV5JVWDqvvOSemsl3RchsCT54qhMAIxD9QjbJABGKHYamiL8FYY/AmCyR0HndZ0X3WPMQC1nqFsvHiHQKhc6ADj1yBZK1wBu/sgKEYG7gA0IBQKgAU5IShcIf8XhzyvBLGBSon7t+/AAkBBYv38JgdbEfgYAj1YMgP8jAJoSAQRAUzxheT8If/7hj1lAy4O9nu5nw59XhJnA/GIRAq0YAw4AfvWHlkozgJs9JK9qZgbQhAggAJrgBcv7QPgLBn/MAloe8AEAkJlAZgItjvYMAB6jGAD/SwA0JSYIgKZ4wtJ+EP7CwR+zgJYGfIFu58sAMhNY2M/MBBo9DhwA/PpYtQC46YMEQFO8TgA0xRMW9oPwFx7+CIAWBnxI+CMEEgItjXYXAFspnQLe9MFlnAI2JCAIgIY4wrZuEP5Kgz9OA9sW8YX7Wyj7l12TawLz68hMoJHjIQOAxykGwNEEQFO8TQA0xRMW9YPwpwb+mAW0KOhLzP4RAov7mhBYXKOISzgAOO2E1kozgL3vX8oMYMSOrK85AqAhjrClG4Q/dfDHLKAtUa8m+0cILO5vQmBxjSIs4QDg9BPVAuAm9xEAI/RhwaYIgKZ4woJ+EP7Uwx+zgBYEfpEu+p3+zTXD6eD8whICjRkTGQA8STEA/ocAaIqHCYCmeMLwfhD+9MAfs4CGB74m+PPMEgIJgQaPAAcAZygGwF4EQGNcTgA0xhXmdoTwpxf+mAU0N/aL9Sxs9o/TwcWUBZgJLK6R5hIZADy5jdI1gL3uXSLd5qvgNDvPj3kCoB+VUlyG8Kcf/giAdg4wFfDHTGBh3xMCYx0bDgB+c4paANz4bgJgrF7NapwAaIonDOwH4S8a+PNa4fuBDRwEBbqkEgClGU4H5xebEBjbuMgA4B/bKs0AbnzXr8wAxubStRsmABriCNO6QfiLFv6YBTRtBBTuj2r4YyaQmUADR4ADgDMFAJuoQYVlv9egJwHQGFer8aoxt8OOqFCA8Bc9/DELqCJyo7OhCwCZCazfh8wERhffbksZADxVMQDeyQxg5J6sp0ECoCmeMKQfhL/44I9ZQEMGgY9u6ARAQiAh0EcIRlHEBcB11GYA71wsfecmkCg8WKQNAqABTjClC4S/eOGPAGjKSCjcD93w57XONYH5/cBMYGTjxAHAb09TC4Ab/ZsAGJkHCYCmSG12Pwh/8cOf1wNuBjF7rEQFgMwEMhMY80hwAHDW6WoBsMftBMCY/VrbPDOApngixn4Q/syBP2YBYxwIPpqOEv6YCSzsEGYCfQRsaUUyAHiGAGCD0iy5tZf9Xo0etxEAlYipwAgBUIGINpsg/JkFf8wCmj2a4gBAZgKZCYxpVGQA8Mx10FoRAC4VALyVABiTP+s0SwA0xRMx9IPwZyb8MQsYw2Dw2WRcAEgIJAT6DFGVxTIAeJZiALyFAKjSSaXYIgCWop7FdQl/5sIfAdDMgRUn/HmKcGNI/tjgdLCWMeMA4Oyz2ynNAG548yLpLHcBa3FZMKMEwGB6JaI04c9s+PN6x80gZg03EwCQmUBmAiMcFRkA/LNiAPwXATBCHxZsigBoiici6gfhzw74YxYwogHhsxlT4I+ZwMIOYybQZ0D7K+YA4HfnrKs0A9j9nwuZAfSnv/ZSBEDtEpvTAOHPHvhjFtCccSM9MQ0AmQlkJjCCEZIBwL8oBsCbCIAR+M5XEwRAXzLZX4jwZx/8MQtoxrgzEf6YCWQmMILRkQHAvyoGwBsJgBH4zlcTBEBfMtldiPBnJ/wxC2jGuDMZAJkJZCZQ4yhxAHDOX9srnQLuduMvnALW6LQgpgmAQdSysCzhz274YxYw/kFnOgASAgmBmkaJA4Dfn6cWALteTwDU5K/AZgmAgSWzpwLhz374IwDGO95sgD9OB3M6WNMoyQDg+YoB8DoCoCZ/BTZLAAwsmR0VCH/JgD9OA8c73mwCQGYCmQlUPFocAPzhgvWUTgF3uXYBp4AVOyqsOQJgWOUMrkf4Sxb8MQsYz2CzDf6YCWQmUPFIyQDghYoB8BoCoGI/hTZHAAwtnZkVCX/Jgz9mAeMZa7YCIDOBzAQqGjFrALBpAyUml66qRhcCoBItVRghAKpQ0RAbhL/kwh+zgNEPMpsBkBBICFQwYhwA/PGiDmitEAA3+Md8TgErcI4KEwRAFSoaYIPwl2z4IwBGO8hshz9OB3M6WMGIcQBw7t/UAmDnqwmACnyjxAQBUImM8Roh/CUf/jgNHO0YSwoAMhPITGAJIycDgBd3VJoB7Px/85gBLMEpKqsSAFWqGYMtwl964I9ZwGgGWJLgj5lAZgJLGDUZAPy7YgC8igBYgk+UViUAKpUzWmOEv3TBH7OA0YyvJAIgM4HMBIYYPQ4A/nSJWgBcfxQBMIQvtFQhAGqRVb9Rwl864Y9ZQL1jK6nwx0wgM4EhRo4DgD9f2knpFHCnK38OMwV8OoDzAHQCMBnAmQA+LnBPhwEYBWBDADMAXADg5XrK3wXgFADnAPhXCJ2srUIAtNB1hL/0wh+zgHoHbNIBkJlAZgIDjKAMAF6mGACvCAyARwB4EMCpAMYD+DMAAbzeAJwdJTnXDgDeB3ARgBcBHAngQgD9AXyRU/YgAJcDWA/A9QTAANHBotErQPgj/DELqG/cpQEACYGEQJ8jKAOAl6+vNgN4+U9BM4ACfZ8AOMPttxxK+D2AWwFck+deHgPQAsDQrM8+AjDJhUjvxxu4QLk3gJdc+GMG0GdwsFjEChD+CH/MAOobdGmBP0/BMQMX6xPTYsvrtHuMM2MZ/2UA8ArFAHiZA4BdACzLCpPfAcif3KsxgJUAhgN4NuvD0QDaAjgwT505AG7KyeZdAUCyfX2zIHIMgOcA3AxgNgHQ4kGb9K4T/gh/uQp893PTpId9pPeXNgAUcQmB+UOMEJgFgFcqBsBLHQDMvQTQZCo29+oM4EcAgwCMy/rwOgC7ANguT53VAI4D8EjWZ6cBuAxAR/dnMj28GwDJ/tUQACN91LKxIAoQ/gh/+RQgAAYZRYXLphH+PEUIgYTAekZHJgM4qrPaKeBL5kpzfjOA9QGgrNfbCcD2PgFQNpFc4m4i2cad8pU1gU5nCIDqnqW0pFABwh/hr1A4EQLVDLY0A6AoSAgkBOZRIAOAV2+gFgD/Jgk9tAGw1Mfo1TEFLJtIZIq4Oqv9cvf/srZQdg6n4uJaB4PdTPgj/BULTwJgMYX8fZ52ACQE1h8nKZ4OzgDgPxQD4EWBAFAcI5tA5MgXOfpFLtkEIuv8biuwCaQ5gAOyvDoWwBR3E8i6ANbP8fhrAP4L4H4A0/w9NewvRQA01IeEP8Kfn9AkAPpRqXAZwt8afZgJZCYwSwEHAOdd00VpBrDjhT8EyQBKWe8YGDmrT0BQMniHA9gUgJwqLUfECFXKuj65ZL3ge+7Zf7K7dwSAv9VzDIx3u9wEUvqjlBZUKED4I/z5jaMH+i7CtMoqv8VZLkeBKyd5a8IpjacAIZAQ6CqQAcBrFQPgBYEBULojR8B4B0HLcS5nuZlB+ewddw3f8Vmek3MCr8o6CPr8AgdBSzUCIB+B8StA+CP8+Y1CgT+5CIB+FatbrkkZcPFnhMBcZQiBhEDvGBgHAJvJrGvp19LfqtExHACW3jgt1FGAU8AGBQXhj/DnNxw9+PPKEwL9Krd2OQFAuQiBdfUjBKYeAjMZwOu7qgXA82Sfhe9NIOEGNmv5UoAA6Esm/YUIf4Q/v1GWC3/MAvpVLn8G0PspIZAQ6DeSUrIxJAOAN3RTC4Dnyv4NAqDfWNNZjgCoU12ftgl/hD+foYJ88EcA9Kte/uxf9k8JgYRAv9GUAgjMAOCNigHwrwRAvzGmuxwBULfCRewT/gh/fkOwPvjz6nMa2K+SmXLe9G9uLUIgIdBvJCUcAjMAeFN3tRnAv3zHDKDfANNcjgCoWeBC5gl/hD+/4VcM/pgF9KtkYfjzrBACCYF+IyrBEJgBwH8qBsBzCIB+Y0t3OQKgboXrsU/4I/z5DT0/8McsoF81/QGglCIEEgL9RlVCITADgDdvqDYDeLacuMI1gH5jS2c5AqBOdQl/gdT9bqG8HYhXtgJB4I9ZQH+xU9/Ub77ahEBCoL+oAhIIgRkAvEUxAJ5FAPQbU7rLEQB1K5xjn9CCn0wAACAASURBVJk/Zv78hlxQ+GMW0J+yQQCQmcD8mvKImPy6JAwCMwB4aw+1GcAzZzED6O9Rpb0UAVC7xGsaIPwR/vyGW1j4YxawuMJBAZAQSAgsHlVrSiQIAjMAeJtiADyDABgknnSWJQDqVDfLNuGP8Oc31EqBPwJgYZXDwJ9nkdPBdbVlJjDRmcAMAP57I7UZwNO+ZQbQ75eB5nIEQM0Ci3nCH+HPb5iVCn9eOzwSJr/ipQAgM4HMBPodx1IuAZnADADeoRgA/0QADBJHOssSAHWqS/irV11u+KgrjSr4YxZQD/wxE1j/w5KZwERmAh0AnH+XAGC5km/Kpb9VocMfCYBKxFRghACoQMT6TDDzx8yf3/BSCX/MAuoFQGYCmQn0O64tzwRmAPBuxQB4CgEwSPzoLEsA1KTuiMkjxtbU1Oygyby1Zpn505v5y7bOaeC1tS51+jfXc1wTWDeWmQnM+2iuWKfdY40tfGi7ANgTrZsrygCurEKHU2aKFHLm11ILNUlUlwmAGtx51rSDR7RvUvXIl78202DdXpOEv+jgT1oiAK7RWzX8eZYJgYRAP0/kFe//8HaXAz8c4qesQWUyAHiPYgAcSQA0xccEQA2eGDV72N01wMhs02mHQcJftPDntUYIzCihCwDFNiGQEFjsa2T2/s/80G/c6q7Fyhn2eQYA791YbQbw5G+YATTE0QRADY64cvawZQBa5jOdRhAk/MUDf8wC6oc/ZgLrf4CmfTp49v7PrCVOv3Grbfu+zQDgfb3UAuCJMwiAGrgjjEnbAjLMPUZe58rZw2r8NJoGGCT8xQd/zAJGB4DMBOZ/4qURAnPBz1PGWgC8XzEAnkAA9MMHUZQhAGpQ2S8Aek0nFQQJf/HDX9qzgDqnfvM9OjgdXFeVNEBgfdCXrYa1APiAYgA8ngCoATtCmSQAhpKtcKWgAJhEECT8mQF/ac8CRg2AzASmKxPoB/yszwCO3kTtFPBx0zkFrIE7wpgkAIZRrUidsACYbdbmrCDhzyz4S3MWMA4AJAQmHwKDgJ/1APigYgA8lgCoATtCmSQAhpJNTwYwn1XbQJDwZx78pRUA44I/LwI4HZys6eAw0JeIKeCHeqvNAP5hGjOAGrgjjEkCYBjVIsgA2giDhD8z4S+t08BxAyAzgdFlAk87fTyWLKnA/x4arPyJXir4WZ8B/N+magHw6K8JgMqjNJxBAmA43QrWUjEFXKgBE7OChD+z4S9tWUAT4I+ZwPqfYqo3hqgGQFXQl4QM4IJH1ALgekcSADVgRyiTBMBQshWupBsAs1s3AQYJf+bDX9qygCYBIDOB6jKBzz33Pa697kvMmrUczZqVo0+fdbDVVm1x223OtGLt9cLzu2Hw4A744YeVuOSSSXjr7Z9RXl6G7bdvj2v+0R/durWoLfvggzNx++3T8N2cFVi/rBpHrl+OwztlXn02d1UN9v+sAv/oVY5HfqrG1ytq0LVpGS7sUY4BbRoE+vawdRfwgkcVA+AIAmCgwNFYmACoQdwoAdDrflwgSPizB/7SlAU0DQAJgaVD4M8//4at+ryAKy7vi6FDu2DZ8gqMG7cAI47YEGed9QmWLqvA7bcNdBpaZ53GKCsrw047vYZtt10Xp/5pEzQsb4AbbvwSkycvxgfv743Gjcvx+BOzcdllk3Fu60ps2qLMAbxR31biL93LMaxDeS0AdmwMnLthQ2zUrAwP/VSF1xdW48V+jdC2kf+vUGsB8LHNlE4Br3fEV+IivgtYA3sENek/eoNaTnH5OAAwDhAk/NkFf2kBQBPhz4sUbgypO2b8TgdPnrwIu+72BiZPHopuXddk8MRivingxx6fjRtvnIrxH+3rwKBcq1dXYcMez+Ch/w7GRjeOw7CJq/GnbuXYt30m4yfXPT9U4YPF1Ri9VaNaADyrWzlO2CBTprKmBkMnVmBEp3Ic7/7Mz9edtQD4xOZqAfCwqQRAPwETQRkCoAaR4wTA7NvRmRUk/NkHf16Pk/5+YJMBUHxACAwHgVVV1Th0+HuYOGEhhgzphN1264QDD+yKtm0b5wXASy6dhDvumI6mTdfAnbS8ckWlM4V7wHoNMOjjCjRtAGR/EVbVAC0bAm8OaFwLgPdu0RDbtF4z5fuXryvQqmEZrti4oe9vEGsB8EnFADicAOg7aDQXJABqENgUANSVFST82Qt/Sc8Cmg5/zATW/8D1kwmsqanB+PG/4O235+HFl37A/PmrMOaNPZx1gbm7gP/y108xZfJi3H339vjh5DfWanidRsDqamCPCRX4v43LsWXLtdfzlZcBGzQtKwiArRuW4fJUAOAWaN1ibYgO+7W5dEUV1hv+JTOAYQVUXI8AqFhQMWcaAKrMChL+7Ia/pGcBbQFAZgLzP3j9QKBXUzKCffq8iNNO640ZM5bi53mr8OgjO9UaHj16Ji4991O81L8RWjbM/1W394TVOLRjOU7pkh9wvE0gZ3dbM90rU8AHTKzAEWmZAn5KMQAeSgDUgB2hTBIAQ8lWuJLJAFhKVpDwlwz4S3IW0CYAJAQGg8BPP12Id9+bhyG7dUL79ZpgwqeL8MdTP3LW8035fDEeeGAmnn5qFyw/fQxalstaPWDElAp0aFyGP3UtR8fGZfjp9xq8uagax3cuR8cmZXh6XhWun12FM7uVY8e2DbC6ugZTV9RgaSVwTOc1m0A6NQbO27AhejQvw//mVuGVX6rxYv9GWCcNm0CeVgyAhxAANWBHKJMEwFCy2Q+AQUGQ8Jcc+EsqANoGf5wODjYdPG3aUlx88WeYPGUxli2rQNeuLTByZC+cMrIXfvllFY7Z9nlMWVaDldXAPZs3dI5p+WV1DW6ek9nUsbIK6NAYGNimAc7pXl6bFXxlQRVGz63Gt7/VoFkDYOPmZTh6/XIMWbdB7RTw1b3K8fBP1ZiWdQzMtmk5BuaZLdVOAR/8BaeANXBHGJMEwDCqFaljQwYw3y3Ut2mE8Jcs+EvqNLCtAMhMYLBMYG5pHYc2e214U8CP9mmI3i2CnfuX209rN4E8t5VaADzwcwKgBu4IY5IAGEa1hAJgvqwg4S+Z8Je0LKDN8MdMYLBMoJTWCX3ZvSEAYsmC5xUD4DACoAbsCGWSABhKtsKVbM0A5t7V1CVNMfuXthoUstfkA30X2dv5PD1PypEwSQBAZgKLZwKjAj9mAB0FWgNYsuCFPmozgAdMYQbQkG8RAqAGRyQJAD15CIJA0uAvKVnApMAfM4H5H8b3XnGfhqd09CatnQJ+UTEADiUARh99+VskAGrwRBIBMO0gmET483xqexYwaQDITGAmMrfo8ovz9zkjn9fwlI7epLUA+JJiANyfABh99BEAI9M8yQCYLWJasoJJhr8kZAGTCIBphkAP/LxnDQEwsq+u3IacKeBfXu2rdAq4/T6TOQUcm0vXbpgZQA2OSAsApiErmHT4sx0Akwp/aZsOzoW+7McyAVDDl5Q/kxkAfG1rtQC49yQCoD/9tZciAGqQOG0AmNSsYBrgz/OdrdPASQfApGcCC4EfM4AavpyCmcwA4OuKAXAvAmAwN+grTQDUoG2aATApWcE0wZ+tWcA0wF8SM4F+oI8ZQA1fTMFNZgDwjX5qM4B7fsYMYHBfaKlBANQgKwFwbVFtWyuYNvizNQuYJgC0KRM47bzn0Lxne3Q9dUcntD4/9iF0OLgPhpzZOdTTllPAoWRTUSkDgGMUA+AeBEAVzlFhgwCoQsUcGwTA/KLaAIJphT8bs4BpA0BbIDAbACXbt2rR72jYrBwNmzUM9bQlAIaSTUWlDAC+2R+t5eXKCq6ly6vQfveJzAAq0FKFCQKgChUJgIFUNBUE0wx/tgFgGuHPG2QXf9Yx0HiLurAAYNe+LbDthVsraZoAqETGMEYyAPiWYgAcQgAM4wwddQiAGlRlBtC/qKbAYNrhz/OYLZtB0gyAYTOBAmbNeqyLsgZlWDhmGsoalqPzcdui3W698P3tH2DxB9+iUdtm6HraYLTZtpsTEr/NXoQf7h2H5V/8hAZNG6F1/y7o+sdBaNimmfN51aoKzLn1ffz64bdo0Kwx+p60MX54Zy7abdq2FgCf2utlbHZML2x+TC8s/3EFnt77FQx9cg+njFyrl67Go4Oex1737YxOAzvg54/n4/UT38Pudw3GxH9+gZXTfkWfVmW4ZpOGmLq8Bjd9V4n5q4Gd2jbApT3L0azcjq8xW88B/OWtbdRmAIdMYAbQ/1ek1pJ2jBytEqg3TgAMrmmcIEj4W+MvGwAw7fAXNhMoALhy5i/oNHxrrLNLTyx+dybmPvQpWm/TBW0H9UCrPp0x/5kpWPTet+jz4NGorqzGlyc9gvb7bIZ199gE1b9X4Yf7PgKqqrHJtcOcbsy57T2snDAbg0Ztg6btmuKzm7/Az58sQK9DNiwZANv3bYcBf+2D4274AOdPr0SHxmVoXAac1b0cK6uAv06rxLGdy3HCBmqmJ4M/tYLVsBYA3xYADDd9n6vQ0uWVaL8bATBY5OgrTQDUoC0BsDRRo4RBwt/aviIAlha7UdcOMh0sAIjqGvS+8SCnmzVV1Zh06H1ou+NG6HHeEOdnFYtWYspRD6L3Pw/Gss9+cDJ/va4eWntbqxcsx+fHPIQt7h2BPn1W4bEdn8fgawZiw727OGV+X7IaT+7+EjYZ3qNkANzz3p2w/vYdnTeB3PdjFW6dU4UX+jVCl6aZr62rvq3ET6tqcPvmjaKWPVR7BECAABgqdLRVIgBqkJYAqEZU3SBI+Kvrpx5Ll6NmnczUnInXO6t/N7FbsfbJLwQ6U8Dd26HbGTvV9ld26K53wJbodFhmvV5NTQ0m7nsXel62Dxa+OR1LPpqNsoYNass3KKtB5W9V2P2OHdFsvWZ4cfgYHPLGfmi5fvPaMi8MH4NOA9qXDICHv3cAmrZr4gDgc/OrcM2sKozbrnFtO3d8X4n3FtfgkT4EQE0BmFkD+M4AtRnAXT+V7rYBsFRTv2nWpwIEQJ9CBSlGAAyiVvGyOkCQ8Jcf/ryfmgqBZb+vxttlNcWDJmUl/EBg7vEsIpF3REvHg/vUKjZhnzvR89K9seDlqWjQpCE2OGl79Oq0eC1Fm7VvimVzljsAeOgb+6GFXwD8aSWe3vNl7P/E7lh3s3Ucm7JL+PGdX6izBnDE2GFo3LqxA4DPz6/C9bOr8P7ANQB45/eVeHtRDR7rSwDUFO4ZAHx3W7UAuMsnBEBNDgtqlgAYVDEf5QmAPkQKWUQFDBL+CsOfkwkyNAsoACgXIbCuD4tBYFAAXDF9PlaO/wbDntkTDbKygF7LFSsr8dig5zD42u3WmgJ+ao+X0OvQ/FPAlauq8PCAZzDk3zuiy87rO6bmjp2HMae8TwAM+UzUWC0DgO8pBsCdUwuA8ttLBwBrUuoZ583R6MOCpgmAGpQnAGoQNcdkWBAk/BWHP1MB0IM/7w4IgcEgMAgA7nrzDmi/VTsnw9dxQHtscUJvNGnTGEu/X47Zr3yPHa4YgAblZfjoyon48YOfMWjUAGe69rNbvsDP4+vfBCI9fvnot1DeqAG2u6S/k/2beNMU/PL5YgKg/sdm0BZcAByoNgO488dpywD2AnAfgEE5DhD+kumM2HYxEQCDDgkf5QmAPkRSWMQvDBL+/MGfV8q0LGAuADITmH8Q1ZcJLAaA3ivaHtzySQgAdtt9Ayz9bhkm3vS5s7O3anW1s9av8+COGHB+X5SVlUGygOOvnIg5b/6Ihs0bYvPjNsGP7/1U7zEw0uNfZy7F2Es/xeJpS9B6w1bY5i9bMQOo8Hmo0FQGAN/fTi0A7jQ+bQD4IYBKANcA+MmFvmw3TVbos0CmCICB5PJXmADoTyfVpQqBIOEvGPyZlgXMB3/MBNY/gopNB3s1g76XV/WY9WOPB0H7UUlLmQwAfqAYAAenDgBXANgGwNdavFSCUQJgCeLVV5UAqEHUgCazYZDwFxz+TMsCFgJAZgKDZQKltA3g590VATDgw09d8QwAfri92gzgjh+FyQCeDuA8AJ0ASMbsTADOXHI912EARgHYEMAMABfI6gO3rOwaugrAfgA2knsEMAbAhbIkVZ18tZZk0eM5AD7QYLskkwTAkuTLX5kAqEHUECYFAgl/4eFPapoyDVwMAAmBxSHQJujLvhsCYIiHn5oqLgDuoBgAxwUFwCMAPAjgVACSPvwzAAG83gDm57nVHQC8D+AiAC8CONKFu/4AvnCPoHkSwD0uTMp29JvdtXgD1EgH0c67xKYA599k470ct5nTRmzH4RAAFXk72wwBUIOoIUyOzpxN61yzaqpDWEheFTnnL8hlAgD6gT/vnrgxpK53H14Q2xrzIKFWb1kCoBIZwxjJAOBYxQA4KDAACvRJFu0M9yZkF+33AG5119Xl3ttjAFoAWHOCOSBpx0kuRObTYls3o9hd0a5c+cLJPq/K2/CR3TY3gYSJStPrEADN8FA2AGb3KK0wGBT+PM3ihsAgACh9JgRmPNd8+xecv+99IfPmD1svAmBsnssA4LhBajOAO4yVG5Jfz5dl3Zmc8J7vlHc5OmUlgOEAns0qPxqAnFh/YB515FiVmwD8K+uzKwDIQOhbj5p7AHjdtakiI7dLAK+9G6Cs0qLMACqVM2OMAKhB1BAm6wNAz1SaQDAs/IlWcQJgUPjzfJtWCPSgL3u4EABDPDw0VLH2VXB6ADBXYQG0y/PI3hnAj+4RKk7q0L2uAyCQtV2eOnJY6HEAHsn67DQAlwHomKd8UwCyU1c2aRytwfXGmiQAanANAVCDqCFMFgPAbJNJhsFS4M/TKC4IDAuA0u80QWA+8PN8RwAM8fDQUMVaAPxosNoM4PbOXgi/GcD6APB6APJOw+19AqBsIrnE3USSXUU2hDzl9mdXTa+nk40mgwHIyedVsiIJwBua2goUuQTAQHL5K0wA9KeT7lJBANDrS9JAUAX8iTY2AmDSIbAQ9GWPLQKg7ieNP/vWAuB4xQC4nQOAft8FrHMKWODvcXcn8BAAC/150ncpWYf4AIBD3RqyJlA2rawH4Dd3Y8rtvq1pKEgA1CAqAVCDqCFMhgHAJIGgKviLKwtYSvYvO1ySlgn0C37MAIZ4aGisYi0AfryT2gzgQNmg6xsApaxsApEjX+ToF7lkE4is87utwCaQ5gAOyHKnLDyckrUJxIM/eUvHbgAWaHD9XXLiktvmKgD/APAtAJnuHuFuYhkJ4GENbfsySQD0JVOwQgTAYHrpKl0KAGb3ycasoGr4Ez2izgKqAkDpuy4IvOGsCVixpAKXjc43E+Uvsid/uAAXHPIBnpy+P1q2aYzXH/0Od13yOZ6akb2Jcc2mDn9W15RiBjCoYnrKEwCBpcsr0T44AHrHwJzigqAcA3M4gE0BzHOPiJF1gnLsi1zyyrX33LP/XnJhS45g8Y6BaehO+8r/ZZCJDe9aBCDzwvHSL4HKfQBMcE3JcTNyzuC67sYWmZY+GUC/0psKZ4EAGE63grUIgBpEDWFSFQB6TdsCgjrgL2oAVAl/nv90QKBuAAya7cs3TAiAIR4eGqpYC4Cf7Kw2A7itsFmgDKCUlyNgvIOg5TiXs9zMoHz2DoDZAI7PcpucEyhn73kHQZ+fdRC0/EzW4eW7JBso9lRciwEMdA+iFnuSdZQdzbKuUeBQso+SlWymorEwNgiAYVQrUocAqEHUECZVA2B2F0yFQV3w5917VFlAHQAo96AaAnUB4N3nTMTL3SVRUfpFACxdQxUWrAXATxUD4IBQAKjCBVHbkGNlpmedX3gugL+4ACh9kcyflJE1gbFcBEANshMANYgawqROAPS6YxII6oY/uecoAFAX/Hk+CwOB77/wI/53w9eYO3s5mjQrR88t2+Ly0dvjtosmO1PAW2y3Lp66YwYqK6qxy0FdcOqoPmjYSJYqAW8+OQfP3j0TP3yzHE2bl6Pv4PWcz9uu18T53JsCfqlbOVqVl+GVZdW4dVH1WgD47NJqPLqkGvMrgfUbAce2aYC9W2Xs37awCj9UANd0yhz4/PiSaty2qBo3dGyAgc0bOOcAPrPvK9jy5E3R69AeIUZSvFV4DmBs+mfOAZywq9oM4DZOgs3vJpDYbl5BwzLFLLt9ZUpZ/shr7OR4mkdd2zIFLBlC+VksFwFQg+wEQA2ihjAZBQBmdytOGIwC/rx71Q2BugFQ7iMIBC6ctwrH9n8VJ12yJQbttz5+W16JL8YvxB6Hd8PtF03G2JfnYrdDuuKgkT0xd9ZyXH3KJzh11FbY95gMbL328Gy069gUXXq2wq+//I67L/scLds0wqiHZakSMK3vczj752rUB4DvrajG5fOrcea6DTCgWRnGrqzBnYuqcWOnBujfrAE+XFmN/1tQjRe7laNBWRkunleFKatqMLRVGf7Yrhy33Ls3ntz9JRz08j5o3a1liJEUbxUCYGz6EwBLl16OfpF1hvLb3lsAppZuUp0FAqA6LWstEQA1iBrCZNQA6HUxahCMEv7kHpMAgEEgcMaUX3Hmnm9j9Kd7o2NX2Vy45pIp4Cljf8H94/dCeXnmcfp/Iz9GgzLgorvll/u61/RJi3HW3u/g1e7laN6gDJ/9Vl0QAE+bW4kejctwXvs1r3S7bH4VfqsGrutUjmVVNThgThXu6lyOTRoDw+ZU4Yg2GTC8o3ND/O2P/THxn59j+Jv7hxhF8VchAMbmgwwATtxNbQaw/9tyQ2nIAMbmOL8NEwD9KhWgHAEwgFgai8YFgFGCYNTwpxsAo8j+ZYecn0xgVVUNLj7iQ0z/bDH679YB2+zSAYMP2ACt2jaGAOCShb9j1P8y2Ty57rh4CmZ/tQTXPi3n1AIzJi/GQ9d/jW+nLsHyub85LwhdVQM8uEE5NmxcHAD3/64SZ7RrgH3dKV+x+cSSajy5tBqPdc2sEzzpx0rs2bIBtm1Whr/+XOXYPnhOFV7oXo4zt+2Gyt8qsdO1+V6aoHEAKjJNAFQkZHAzawCwlZr1qEuXVaI9AdDzhOwKlqNqHgzuGjU1CIBqdFzLCgFQg6ghTMYNgNld1pEVjAP+vHvSlQWMGgDlfvxAYE1NDaZ+sggT35mPD1+ei8XzV+HmV3bFQzd+XecYmDv/PgUzv1yC65/ZCatWVOLYAa9h4O8VOLB1A7RtAMyrrMG586rxn87l6NXEHwCe2a4B9skCQFnn97SsC3QB8NaFVfixAg4AfvF7DS7rUI4TfqzEn9ZpgCubNcfmx2+CTYbLCwnsuwiAsfnMBcAhaK0UAGUmlBlA973EEwGsSe1H7GoCoAbBCYAaRA1h0iQA9LqvCgTjhD+5Fx0AGAf8eX7xA4FeWckIHrfNqzj41I0xa+rSegHw9p9+xbTfazBybhWe6FqOjg0zj9vXl1fjqgX+AbC+KeBV1cC17saP91dU4x+/VKNf0zIMbFbmwObNC6uwohp4dXkNDnpxb7TesFWIURR/FQJgbD5wAHDBZ7srBcD1+r2ZFgAU/QpdfQC8SwCMLb71NEwA1KNrUKsmAqCKrGDc8KcrCxgnABbKBH49YREmvb8A/XftgLbtm+DriYtx/emf4tIHtsO7z/1YBwDv7fUsvlldg1vWb4hfq2pw6JwqDG9ThgNbNcC3q2twx+JqfF8B3xlAgbvL5lfj7HVl08eaTSA3dWqAfs0yO4G9dYCCmKM3KEe3xmWQzSNSr/F6TXHY22sfKh10LMVZngAYm/oZAJykGAC3Tg0AVsvvygW8J8NVPmcGMLYQ19AwAVCDqCFMmg6AYbKCpsCfjixg3ABYHwTOmb4Ud136Ob6Z8itWLq9Ehy7NceBJG2HYST2dNYByDMy109a8SeqWhVW1ACg2xyyvxt2Lq7GoCujVGPhD2wa4KMAUsNgodAyMF0cn/ljptPFst8x6raXu5pDu+3bFztfbuf5P7oMAGOLhp6ZKBgAn76E2A9h3jPQuDZtAlsiesKwDq3O9IgdBy+viCIBq4tUMKwRAM/xgCwD6BUGT4E81AJoAf54fgkwHq3hTh+7RwoOgdSvsz76tB0FnAFBeYlH6tXRZBdZLDwDKdudXAFxXj3J9AXzmvtu4dHFDWOAawBCiFatCACymUDSf2waA2arkrhU0Df68vqpaC2gSAMq9FYNAG8DP8xEBMJrnTbFWrAXAKYoBsE9qMoAj3de83VJPbHQEcCqAK4rFjq7PCYAalCUAahA1hEmbATA7K2gq/KnKApoGf/VlAm2CvuzhQgAM8fDQUMVaAPx8T7UZwK3k5RipmALWEEVqTRIA1erpWCMAahA1hMkkAGDZrDm1d17Trm0IFfRXKTULaCoAinLjd3hev4CaWyAAahbYp3lrAfCLvdQC4Jby+lsCoM+w0VqMAKhBXgKgBlFDmEwaAHoSmAaCpQCgsfD3xbeO3ONHfhEi8syqQgA0wx8EQMBZA0gANCMgARAANbiCAKhB1BAmkwqAJoJgWAg0DgBd8PM0JgCGGHiKq3AXsGJB/ZvL7AL+cm+1GcAtXmMG0L8PtJYkAGqQlwCoQdQQJpMOgNmSxJ0VtB4Ac8CPABhiwGmqQgDUJGxxsxkAnKoYADcnABaXPpoSBEANOhMANYgawmSaADDurGAYAIw9+1cP9GWHGjOAIQae4ioEQMWC+jfnAuA+ajOAm7/KDKB/H2gtSQDUIC8BUIOoIUymEQDjzAoGhcDYANAH+DEDGGLAaapCANQkbHGzGQD8al+1ALiZHI2X2k0gLwE4GcBPxeXXX4IAqEFjAqAGUUOYTDsARp0VLASANTU1OP2cT/DMcz9g8a+r0aZ1IxxzRDfcOErOQo3gCgB9zABG4I8ATRAAA4iltmgGAL/eTy0AbvpymgFwGQB56GV2mcV8EQA1OIAAqEHUECYJgHVF071WsD4IfO2NuRh+9Ad4/YUh6LFhCxx17Afo37etbwB898MF2OvQ9zFv2lC0bdPYfzSEBD+vAU4B+5daV0kCoC5li9rNAOA0xQDYmwBIACwad1R5/AAAIABJREFUe/YWIACa4TsCYP1+0AWC9QHgHXdPx023fo0Znw9zOrXXfmPQZ8s2egCwROhjBtCM8ev1ggAYmz9cANxfbQawt8yCpnYKWM6V2hfA97F5NathZgA1eIEAqEHUECYJgMVFUw2C+QDw5NM+wkOPzK7tTPcuzdG9a/O1APDhJ+fg1ru/wfSZy9GieTl2HbwebriyDzqs1xSz56xA74HOzsHa65jDu+HeWwasfYMKwY8ZwOKxE1UJAmBUStdpJwOA0xUD4CapBsDYnJmvYQKgBncQADWIGsIkATCYaKpgMBcClyxZjdvvno7/PDATH761FxpWVuKokePXAsAHHp6NTh2bYpONW2HBL7/j/MumOOsEn394R1RV1eCFV+fiiJPG4/MPM6+lata03PncuTSAHwEwWOzoLE0A1KluQdsZAJxxgNoMYK8XpNE2AJbGdmds2FGAAKghEAiAGkQNYZIAGEI0AKWCYL4s4K13TIP8mfHJPk6n9jz4vYJTwBMmLcagfd7GwpnD0LJFQ9RZA6gR+rJV4xrAcDGkshYBUKWagWxlAPAbxQC4MQEwkBc0FiYAahCXAKhB1BAmCYAhRMupEhYGcyGwGABOnLwYo274Cp9PXYLFv1aguroGK3+rwqR398BmvVuvAcBnt0Tblg1LvzGfFgiAPoXSWIwAqFHcwqZdABymNgO4sfN+bWYAY3PrmoYJgBqcQADUIGoIkwTAEKLVUyUoCOYDwNv+PQ3TP62bAVyxohK9tn0Ve+7aESOP7YH26zbB9z+uxNARH+LjMUPQF4vw7qRl2OvcmZhHAAzsVL4LOLBkWipY+y7gmYoBsCcBUEuAhTBqOwDuDOA8ANsAWB/AwQCezdKhJYBrABwEYF0AswDcAuDOrDJNAdwIYASAJgBktflpAOZllZGtizfI7BiAvwJ4sZDWBMAQkaihCgFQvahBQDAbAiUDWB8ASvZvh73fxjcT9kHXDZo7nZZNISec8Sk+vnMT9N24OcZ9uQK7nj0Dc5/aEuu2YQYwiGcJgEHU0ldWIQCe7n7vdQIwGcCZAD52e94bwH0Aurvfc1eVcEeZDODMA9VmAHs+xwxgCU5RWdV2AJTt1DsCmAjgqTwAeDeAIe7J27INcS8A/wZwCADn1xAAdwDYH8DxEuwAbgNQ7dqVzwUKvwFwgrtmUgZXTwCr63MEAVBliIa3RQAMr52fmsVg0C8AyqaPjfq/gjNO7omRx22EL1+bjovunosZP/xeC4A//rIaPY+cinvO64Z9BrZGsyZlaNms3E83SyrDKeCS5FNSmVPAa8l4BIAHAZwKYDyAPwM4DICA33wAbwB42gVCSXScDWBsSEdkAHDWQWoBsIeTo0nTFHBHN4G0O4AOefZe6H+Q1RMAtgNg9m1Jdi43Ayhn7jwGYFRWwQkA5F00f3eDcAGAowA86ZbZFMBXAHYA8BEAGQRTAHhnTnwCoA8AOdE770UADPm4UVyNAKhY0HrM1QeCawHgrVNxmxzzkmcKWMw+dssEXHLfT/h5YQX69WqG847siEMvmVULgFLm6od+xl3P/4J5iyvxhz3Xwb3nS5JD70UA1KuvH+sEwLVUEuiT76Az3J82cM+Uu9Wd7frUncH6zP1OuwuAc/JyiIsAGEK0PFWEN7q5ySV5BZywSvblpETjuJIOgJIB7OdOAc8FsKub+ZOM33tudvBNAOsA+DXLAd8B+BeAf7o/u8wFRnGcgON1hZxFAIwjlOu2SQCM3g+5MOhBYL3v/Y1oN29YJQiAYZVTV48AWKulvAJnJYDhOUudRgNoC+BAAPsBeBRAM3epkpStCukNFwAPRmvvyKWQhrxqS5dWYL0ez8h/05QBlGTRTgAmlSif8upJB0CZvhUIPBZApTu1O9JNoYuYkvm7353mzRZX1lO8DeCCrB9KwMrUcL2ZP68sAVB5nIYySAAMJZuSSh4ICgDWgT/DoS9bAAKgknAoyQgBsFa+zgB+BDAIwLgsUSUhsQuA7dyfyfeewJvMbpVyuQB4iGIAlBnqVAHgVABHA5CsrFFX0gHwXAACfPK3ZPVk08g/3KniMQUAUFLskhm8MIy3CIBhVFNfhwCoXtMwFmu6yPeW3gObw/TLTx0CoB+V9JYhABYFwOvdDNP2ij2RAcDZigFww9QBoOw9kM2jfwSw5pVIip0VxlySAVBS4LKpQ9YFOu+eca97AXQBIOdRyAYRP1PAgbQlAAaSS1thAqA2aQsa/vW/05zPv3p2GbrvKLNWmWv9EzeJp0MltEoALEE8RVUJgLVC+pkCVqS6Y8YBwPnfHao0A9ihu+zXTFUGcDEAOd5Aji+QKfyKHCe1U+m0ILaSDIBO8LprImQRpnfJotge7o5gmdaVNPmR7i5iKSPfUvIN5m0CCaKnU5YAGFgyLRUIgFpkrdeoB35egVwAtBEECYDRxlC+1giAa6kim0BkiZIc/SKXbAKZ424wkCPPVF7Od+g8xQDYMX0AeFwRp8gazlgu2wFQzvnb2FVO5tf/4q7dW+QOincAtHd3TMkUsKyTkGNfpJz8LZf8LQtn5RgYeTeh7KaSS9ZZhLoIgKFkU16JAKhc0rwGc8FPCgn8eVd2FjDXgOlZQQJgNDFUqBUC4FrqeMfAnOKCoBwDczgAOb0i++xaFY5zAPBnxQDYKX0AqMIXWmzYDoCyq1c2a+ReQtQCdHJQpqz5kzl4SbMKBMqmENnd623F9g6Clixg9kHQP4dVnAAYVjm19QiAavXMtpYP+rI/9wuAXh1TQZAAqC+G/FomANZRSo6AkRcgyPeb7Cw9yz0T0K+kfss5APiTYgBcP30AKEfAFLokgxvLZTsAxiJasUYJgMUUiuZzAqB6nYuBn9diUADM7qlJMEgAVB9DQS0SAIMqpqy8A4Bzv1O7CaRz99RtApHTQ3LP/st2Eg+CVhayBhgiABrgBAAEQDV+8At9+eDP+1mhaeD6emkCCBIA1cRQKVYIgKWoV1JdBwB/VLwLeIP07QLum+OFRu75xLIU7WL3zS0lOSpsZWYAwypXoB4BUIOoIUwSAEOIllUlKPipBkDPXpwgSAAsLYZU1CYAqlAxlA0HAL9XDIBd0weA9YkvL6SQqXxZyhbLRQDUIDsBUIOoIUwSAIOLFhb6CsFfKVnA3DuIGgYJgMFjSHUNAqBqRX3bcwBwjmIA7EYA9BwgG1gnA2jh2yOKCxIAFQsq5giAGkQNYZIA6F+0UsEvKgCMOitIAPQfQ7pKEgB1KVvUrgOA3ykGwO7pA0DRMfsS7lofwOXu7u2ti3pCUwECoAZhCYAaRA1hkgBYXDRV4Bc1AGbfmc6sIAGweAzpLkEA1K1wvfYdAJytGAA3TB8A5tsEIuz1PYAROa/1i9TZBEANchMANYgawiQBML9oqqHPD/x5ZcJsBvHreh0gSAD0q76+cgRAfdoWsewA4CzFANgjfQAo5w9nXwKE8gKKbwBUxuZdAARADeoTADWIGsIkAXBt0XSBnykA6PVDJQgSAEMMPMVVCICKBfVvzgHAb2cfjFatZeNq6deypRXYaMNnxJC8hUtevMArRgUIgBrEJwBqEDWESQIgoBv6gsCfV1ZnFjA3TEqFQQJgiIGnuAoBULGg/s05ADhTMQD2TA8ADvMhtWQA5aUTXwBY7aO80iIEQKVyZowRADWIGsJkmgEwKvAzHQC9/oUFQQJgiIGnuAoBULGg/s05APiNYgDcOD0AKFO9fi+BQHnN3/t+K6goRwBUoWKODQKgBlFDmEwjAEYNfuKW7Ld++HVTlFnAUrKCBEC/HtVXjgCoT9silh0AnDFL7RRwrx6cAs7SXRisI4C/AxgEoH+U3iYAalCbAKhB1BAm0wKAcUBftjtsA8AgWUECYIiBp7gKAVCxoP7NOQA4TTEA9iYA5vPAhgC+BtDUv3tKL0kALF3DOhYIgBpEDWEy6QAYN/h5LrEVALNDqr4pYgJgiIGnuAoBULGg/s05APiVYgDcjABYnwdkY8wS/+4pvSQBsHQNCYAaNFRhMokAaAr0lQJ/Xt04p4Hri69cECQAqhiJpdkgAJamXwm1HQCcqhgANycAluAStVUJgGr1dKwxA6hB1BAmkwSApoFfUgHQuy8PBAmAIQae4ioEQMWC+jfnAOCXigFwCwKgfw9oLkkA1CAwAVCDqCFMJgEAl1z5Rog7j6ZKmKnf3J6ZmAXM7uOccZGfzKDcefe+cJBym1EaJABGqfZabTkA+MWsg5SeA7hlj2elEZ4DGJtb1zRMANTgBAKgBlFDmLQVAKvu+XCtu13+08oQd6+/StIBsPl6TdYS8evnl+kXVUMLBEANooYw2W/catu+bx0A/FwxAG6VPgDsCqAGwA9u2AwEcBSAqQDuDhFKyqrYFpDKblynIQKgTnX927YNAHPBL/tOTYTAJANgLvzlRp1NMEgA9P/M0FnSVgCcohgA+4QDwNMBnAegE4DJAM4E8HEBfx0GYBQA2V07A8AFAF7OKi/scwWAkQDaApDfuv/kllUdBnK2n4Def93+TwPwJYBeAG6VVWOqG/RrjwDoV6kA5QiAAcTSWNQGACwEfbnSmASBKuDPuz/TpoGLwV+2X2wAQQKgxodMANO2AuAkAcBWil4Ft6wCWwcHQDkg+UEApwIYD+DPAATwegOYn8cFO7gHKl8E4EUARwK40D1jT964IZcAoXx+PIBvXVjcCsDmAFYFcKufoosBbA9AwO8s98DnHQHsBeBOABv5MaKjDAFQg6oEQA2ihjBpMgAGAT8TM4FJBcAg8GcLCBIAQzw8NFSxFQA/UwyA/YIDoEDfJwDOcN3SAMD3bvbsmjyuegxACwBDsz77CMAkFyKFe+YCuBHADW4ZWZM4zwXCRxW7fzmALQHMBvC8m228FkA3FwqbKW7PtzkCoG+p/BckAPrXSmdJ0wAwLPSZlglUCX8mZQHDwl+uf0zLChIAdT5l/Nu2FQAnKgbA/sEAsDEAWQQ9HICze8S9RrtTtwfm8cAcADcB+FfWZzLdK7uh+roZt5kA+rlQ6BV71/3/2f696qukAOzbAF4C8LqbDZRpbMkKPgmgiy8rGgoRADWISgDUIGoIk6YAoCrwy5YgzungJAKgKvjL9pEpIEgADPHw0FDFZgBsqWgKePmyCrgAKNCTvavqdwDyJ/fqDOBH9zVp47I+vA7ALgC2y1NHtu4fB+CRrM9OA3CZ+9o1eeWarPkT2z9llXnc3awhU84qr10ByPvvZFONgOuJrvGrAWwK4BCVjQWxRQAMopbPsgRAn0JpLhY3AOoAPxMgMGkAqAP+ckM7ThgkAGp+0Pg0bysATph1EFQC4DaZDGDuJRm6ywMA4PUAdnKzaLnV8gGgbCK5xN2EUR8APgGgCsAIny4NUqzcBUBZD+hdskFFspv51jEGsR26LAEwtHT1VyQAahA1hMk4AFA39OXKEHUmUAf8efcUx2aQKOAv22dxgCABMMTDQ0MVWwHwk1kHKgXAbXs8J+r6zQAmYQpYQzSpMUkAVKPjWlYIgBpEDWEySgCMGvyy5YgSApMEgFHDX24IRwWDBMAQDw8NVWwFwI8VA+DADAAGOQha1tDJkS9y9ItcsglE1vndBqC+TSDNARyQ5caxAKbkbAKRDSCyEUQumZ6VTJzsCla9CUTsyxrGw92NHwK12Vd/DeHmyyQB0JdMwQoRAIPppau0bgCME/pyNYsCAnXCn3c/UWUB44a/bP/pBkECoK4nTDC7tgLgR4oBcPvgAOgdA3OKC4JyDIzAlKyfk527ckSMrBOUY13kkine99yjXmTjhUzp/i3PMTByNIysFZzlHgPTR9MxMHL0y/8BeACA3MP9AHoC2BbA7QAuDhZJ6koTANVpWWuJAKhB1BAmdQGgSeCXLYtuCEwKAJoEf1GAIAEwxMNDQxVbAXCcYgDcITgAijfkCBjvIGg5zkWgSjKDcr3jHrEi2TvvknMCr8o6CPr8eg6CFiCTg6A/ACAbRaZrcP3X7qHTsilFNr7ITmQ5e1AOgG6XdbyNhqYLmyQAapCcAKhB1BAmVQOgqeAXBQRGAX/efejMApoKf7nhrTIrSAAM8fDQUMVWABz7rdo1gIM2CjwFrMEbkZqUjR6bAfjOnWbe032bibwJRM4nXDfS3mQ1RgDUoDwBUIOoIUyqAEAboC9XGh2ZwCQAoC3wpzorSAAM8fDQUMVWAPxAMQAOTh8ASrZP1gBOBPApgHsA3OW+CUTWG0oWMJaLAKhBdgKgBlFDmCwFAG0EP52ZQNsB0Eb4U5UVJACGeHhoqGIrAL6vGAB3Sh8A3uu+uUSOupHjaOQIGzmHcACApwGcpCHcfJkkAPqSKVghAmAwvXSVDgqAtkOfrkxglPDn3YPKaeAkwF8pWUECoK4nTDC7tgLge98OU3oMzM4bydvQAu0CDia0eaVl17L8qXS7JptSZKPKDDcTKOcWxnIRADXITgDUIGoIk34BMGngpzoTaDMAJg3+woAgATDEw0NDFVsB8F3FALhL+gBQQzSpMUkAVKPjWlYIgBpEDWGyEAAmGfpUZgLjgD9VWcAkw1+ujwttGiEAhnh4aKhiKwC+oxgAd00HAMqRMl8AqAYg/y50yfmEsVwEQA2yEwA1iBrCZD4ATBP4qcgE2gqAaYK/YllBAmCIh4eGKrYC4NuKAXC3dACggF8nd9ev/LsGQD7ekp/La+JiuQiAGmQnAGoQNYTJbABMK/iVCoE2AmBa4a++rCABMMTDQ0MVWwHwTcUAuHs6ALC7+7YSATz5d6FLjoeJ5SIAapCdAKhB1BAm73tFNlrxCguBccKf1+egm0EIf3Xj/dyRu1s9CM4Z6WwasP6yGQBbtGqkRP8VyyqQEgBUopduIwRADQoTADWIGsDk7uuu2VR19EOfBKiZjqJ+zwm0DQAJf3Xjd87fh6z1w1vm2ffIJwDG9lyS9+MuGTNzGFQC4B49U7cLWA56Xuh6sSuAkQCaARAh3o/Nu/XMScfZn0S0TQCM3o3Z0JfbOiGwrj+KQaAJ8BckC0j4Kw5/2SVsAkECYPTPU7dFBwDfUAyAe6YHALcC8AIAgT458kWOf3kVQAt3c4j8LQdEPxuXh+37dTAupQK0SwAMIFaJRQuBX7ZpQmAwCLQJAAl/weDPNhAkAJb4kAxf3QHA12ceoDQDuFdPYaJUnAP4inv237UA/gBgKIDXAZzsuuRWANsA2D68i0qrSQAsTb+8tQmAGkTNMekX/AiBhX2RLxNoEvwVywIS/sLDX25NU7OCBED9z9N6WnAA8FXFALhPegDwFwCyBkOOeWkJYCmAge7r4ETyTd13AbeNy8MEQA3KEwA1iAogDPTl9oSZwOKZQFsAkPCnDv5MzgoSAPU8T31YdQDwZcUAuF96ADD7KBiRexmAvgDk3cBydQQwl8fA+IhEm4oQANV6SwX4MRPoPxNoAwAS/vTAn4lZQQKg2udpAGsOAL6kGAD3TxcACuQtcDUXAJRDoWcRAANEoW1FCYCle0w19DETWNwnMh1sIvx5PfeOhCH8RQN/pmQFCYDFx66mEg4AvqgYAIemCwBlHeDvrn8OAPAWgBXu/5sA2IcZQE3RG5dZAmB45XWDHzOBhX3zyR3zwjtPc00BQMJf9PAXNwgSADUPrPrNOwD4gmIAPCA9AHi/T8+d4LOc8mJcA6hcUoAAGEzUKKGPmcD6fTPhHnPhz+t176GtggVXwkvnnvMX5e1GtWmEABilV9dqywHA575Ruwv4wI1Tsws4Nsf5bZgA6FepAOUIgP7EihP8mAms6yMCoL+4NaVUnPAXZVaQABhbxDkA+Ow3Q5UeA3PQxi/KDbVxd8XGdnNsOP/LialLiQoQAAsLaAr4EQLX9hMBsMSBH2F1U+Av95Z1ZAUJgBEG1tpNOQD4jGIAPJgAGJtDcxtmBlCDKwiAdUU1Efpye5nmI2JsgD/PX2mfBjYV/nRlBQmAGr6k/Jl0APBpxQB4CAHQn/oRlCIAahCZALhGVBvAj5lAgACo4UGgwaQN8KcaBAmAGgLJn0kHAJ9SDICHEgD9qR9BKQKgBpHTDoC2QV/aM4E2wV+as4C2wZ+q6WECoIYvKX8mHQB8UjEADicA+lM/glIEQA0ipxUAbQe/tGYCCYAaHgKKTdoOf6VkBQmAioPJvzkHAB//Ziiat2rkv1aBkiuXVeBwAqASLVUYIQCqUDHHRtoAMEngl0YIJABqeAgoNJkk+AuTFSQAKgymYKYcAHxshloAPKIXdwEHc4O+0gRADdqmAQCTCn1pmw62Ef7SNA2cZPjzmxUkAGr4kvJn0gHARxUD4AgCoD/1IyhFANQgcpIBMC3gl5ZMIAFQwwNAkcm0wF+xrCABUFFABTfjAOAjigHwSAJgcE9oqkEA1CBs0gAwjdCXhkygzfCX9CxgWuEvX1aQAKjhS8qfSQcA/6cYAI8mAPpTP4JSBEANIicFANdv2ECDOvaaTNo5gQRAM2OR8Le2X8qHOa8Os/7qN261bd+3DgD+d/r+SjeBHLPJS+JLvgnEgIi2LSANkKx4F2wHwAvnznVucnS3LsVvNmUlkgKBSYC/JGYBCX91HyhbVVTW/nDqoa9Y+8SxFQAfVAyAxxIAjYlhAqAGV9gIgB705cpBCKwbIEmAQAKghoFfoknCX2H4y/7URhC0FQAfUAyAxxMAS3xSqKtOAFSnZa0lmwCwPvDLloUQmDwIJABqGPglmCT8+Ye/3JK2wKCtAHi/YgA8gQBYwpNCbVUCoFo9HWumA6Af6GMmsHhg2JoJTBL8JWEamPAXHv5sygraCoD3TVO7BvDE3lwDWPzbJZoSBEANOpsKgGHAj5nAwgFiIwQSADUM+pAmCX9q4M8GELQVAO9RDIAjCYAhnxbqqxEA1WtqVAawVOhjJrB4gNgEgUmEP1uzgIQ/9fBn8vSwrQB4t2IAPIUAWPxLJaISBEANQpuQAVQNfswEJiMTSADUMOBDmCT86Yc/07KC1gLg1/ujmaJ3Af+2rAKnbMop4BCPDC1VCIAaZI0TAHWCHyHQfggkAGoY8AFNEv6ihT9TsoK2AuBdigHwjwTAgE8MfcUJgBq0jRoAo4I+TgcXDxaTp4OTDH+2TAMT/uKFvzizgrYC4B2KAfBPBMDiXyQRlSAAahA6KgCMC/yYCbQzE0gA1DDYA5gk/JkDf3FkBW0FwNu/UjsFfPpmnAIO8NjQWpQAqEFenQBoAvQxE1g8aEzLBKYB/kzOAhL+zIW/qLKCtgLgbYoB8AwCYPEvkIhKEAA1CK0DAE0EP2YC7ckEEgA1DHSfJgl/dsCfbhC0FQBvUQyAZxEAfT459BcjAGrQWCUAmg5+hEDzITBN8GdaFpDwZx/86ZoethUAb1YMgGcTADVQRziTBMBwuhWsVSoA2gR9nA4uHkBxTwcTAIv7SEcJwp/98KcyK2grAP7rq/2UHgPz581eFlnbAFiqY9zRpn8FCID+tfJdMiwA2gx+zASamwkkAPoeusoKEv6SBX8qsoK2AuA/p6oFwHM2JwAqe9CUaIgAWKKA+aoHAcCkQB8zgcUDKY5MYBrhL+5pYMJfsuEvbFbQVgC8QTEAnksALP5lEVEJAqAGof0AYFLBj5lAszKBBEANA7yAScJfeuAvKAjaCoDXKwbA8wiA0T6UCrRGANTgivoAMA3Qx0xg8YCKKhOYZviLIwtI+Esn/PmdHrYVAK/7Uu0U8PlbcAq4+LdENCUIgBp0vnL2sGUAWnqm0wh+zATGnwkkAAK9h7bSMMLrmiT8Ef6KgaCtAHjtl/uhqaJ3Aa9aVoELCICRPJP8NEIA9KNSwDKjZg+7uwYYmXbwIwTGC4EEwGgAkPBH+Cv2FTH10Fd+6Ddudddi5Qz7vDWAJdcoBsALCYDGuJkAqMEVH07edcS2K5Y/osG01SZHd+tidf91dF7XdDDhb423dGYBCX+EPz/PhSVjf3q7w/CPh/gpa1AZBwCvVgyAfyMAGuNiAqAmV6weO2AsgB00mbfWLCGwrut0QCABUD8AEv4Ifz4fxBVNOj/X2GdZk4o5AHjVF2qngP++JdcAmuJkAqBGT6weO6BGo3lrTRMC9UIg4a+uvqqzgIQ/wp/fB3CTzs/Z+j3rAOAoxQB4CQHQb+hoL2drYGoXRlUDhMD8ShIC9UEgAVAvABL+CH9+vx8shj+5RQcAr1QMgJcSAP2Gj/ZyBEDtEgOEQEKg3zBTMR1MANQHgIQ/wp/fsWw5/NUC4BWKAfAyAqDfENJejgCoXeJMA4RAQqDfUCsFAgl/9atc6jQw4Y/w53cMJwD+agHw0s/3VXoMzJVbvSK2dbwLuB2AWwEcAKAawFMAzgawvIDfmgK4EcAIAE0AvAbgNADz3Dp9AVwIYDCA9gBmA7gTwM1+Y8HkcgTACL1DCCQE+g23sBBIANQDgIQ/wp/fsZsQ+KsFwEsUA+AofQAoZLk+gD8CaATgfgCfADiqgO/uALA/gONluhvAbS487ujWORHA1i5Mfg9gEIC7AZzvlvUbFkaWIwBG7BZCICHQb8gFhUDCX3Flw2QBCX+Ev+KRlSmRIPirBcC/KwbAq/QA4GYApgLYFsCnrr/2ASBbjuX8sbl5fChZyAUuID7pfr4pgK/cEzw+qsfvtwOQ9mw71qfO7RAA/Y5sheUIgYRAv+EUBAIJgMVVDQqAhD/CX/GoSiT81QLg3xQD4NV6AFAydTKVu06WvxoCWAXgMADP5PGjANybbp1fsz7/DsC/APyzHt8/BECmjof7jQ1TyxEAY/IMIZAQ6Df0/EAg4c+vmv7fDkL4I/z5jaqEZf6823Z2AV80Re0awH/0cdYASlZOXpnqXb8DkD9hr78BOA5A7xwD8wFcBkCmenMvmRqWaWJZ+5d9fQzgbQAX5KkjU8DvutPGr4ftrCn1CIAxeoIQSAj0G37FIJAA6FdJfwBI+CP8+Y2ohMKf3L4DgBcqBsBrMgCYe10B4PI8P78znd4XAAAd3klEQVSmHhDLLirTsYfUA4AyxXuJu3HDLwDKukHJDMrmj+xrSxcMZQPIVX7jw+RyBMCYvUMIJAT6DcFCEEgA9KticQAk/BH+/EZTguGvFgDPn7IvmrSSPRWlX78vq8B1wTKA6wFYt0jL3wL4g+Yp4M1d+LsXwMWlK2GGBQKgAX4gBBIC/YZhPggk/PlVb025+tYCEv4If36jKeHwVwuA501WC4DX99VyDIy3CWQAgAmuD/cC8KqPTSBHurt8pdomAKblbALZAsBbAEa7u3/9hojx5QiAhriIEEgI9BuKuRBIAPSrXGEAJPwR/vxGUgrgrxYAz1UMgDfoAUDpr5BlRwCnZh0DIzuCvWNgNnCndo8FIOv85JK1gfu5x8Asdc8RlJ/LWj+5BP5kPaCs9zs3Kz6q3B3EfkPGyHIEQIPcQggkBPoNRw8CCX9+FatbLjsLSPgj/PmNpJTAXy0A/lUxAN6oDwDlIGg5xy/7IOizsg6C3hDALAC7AXjH9bd3ELRkAbMPgv7Z/VzWJcomktxLdgqLPasvAqBh7iMEEgL9hqRAIAHQr1r1AyDhj/DnN4pSBH+1AHiOYgD8pz4A9OtGlnMVIAAaGAqEQEKg37DcdJcX/RZluRwFJANI+CP8+R0YKYO/WgA8e5LaNYA3b61lDaBfN7JclgIEQEPDgRBICCwWmvs1a1ysCD8vosBP1bKUh5enwFYVlRQjjwIphL9aADxLMQDeQgA0ZowRAI1xRd2OEAIJgYXCkwBY+uAlAK7RkPCXP55SCn+1AHiGYgC8jQBY+oNLkQUCoCIhdZkhBBIC8ylA+FM34giBAOGP8JdHAecg6NMn7aP0HMDbt5aTWSDv4ZVdt7xiVIAAGKP4fpsmBBICcxUgAPodPcXLpR0ACX+Ev3pGiQOAp32mFgD/3Y8AWPypFE0JAmA0OpfcCiGQEOgpQPgreTjVMZBWCCT8Ef4KjCYHAP+oGADvIgCqf4CFtEgADClcHNUIgYRAUYAAqH70pREACX+EvyIjqRYAGyt6FdzqZRUgAKp/foW1SAAMq1xM9QiBhEACoPrBlzYAJPwR/nyMIgcAT/lsH6gEwLuZAfQhfTRFCIDR6Ky0FUJgeiGQ8Kd0KK1lLC0QSPgj/PkcRQ4AjpyoFgDv6c81gD71116MAKhdYj0NEALTCYEEQD3jSaymAQAJf4S/ACPIAcCTFAPgfwiAAVygtygBUK++Wq0TAtMFgYQ/rcPJMZ5kCCT8Ef4CjiACYEDBbCtOALTNYzn9JQSmBwIJgPoHa1IBkPBH+AsxehwAPGHivmjcslGI6nWrrF5egfv781VwSsRUYIQAqEDEuE0QAtMBgQRA/SMtiQBI+CP8hRw5BMCQwtlSjQBoi6eK9JMQmGwIJPxFN1CTBIGEP8JfCSPHAcDjJ+ynNAP4wDYvS5f4JpASHKOqKgFQlZIG2CEEJhcCCYDRDbCkACDhj/BX4qhxAPA4xQA4mgBYolvUVScAqtPSCEuEwORBIOEv+qFlOwQS/gh/CkZNBgA/VZsBHD2AGUAFvlFiggCoREazjBACkwWBBMDox5fNAEj4I/wpGjEOAB7z6f5Kp4D/O+AlTgErclCpZgiApSpoaH1CYDIgkPAX3wCzEQIJf4Q/hSMmA4CfDFULgNu+SABU6KRSTBEAS1HP8LqEQPshkAAY3yCzDQAJf4Q/xaPFAcA/KAbAhwiAit0U3hwBMLx2VtQkBNoNgQTA+IaZTQBI+CP8aRgpDgAe/bHaDOD/BjIDqMFXoUwSAEPJZlclQqCdEEj4i3+c2QCBhD/Cn6aR4gLgAUqngP838AVOAWtyWFCzBMCgillanhBoHwQSAOMfbKYDIOGP8KdxlDgAeNR4tQD48HYEQI0+C2SaABhILrsLEwLtgUDCnzljzVQIJPwR/jSPEgcAjxw/TGkG8JHtnmcGULPj/JonAPpVKiHlCIF2QCAB0JwBZyIAEv4IfxGMEAcARygGwEcJgBG4zl8TBEB/OiWqFCHQfAgkAJoz5EwDQMIf4S+i0ZEBwI8OVJoBfHT755gBjMiBxZohABZTKKGfEwLNhUDCn3mDzhQIJPwR/iIcHQ4AHqEYAB8jAEbowsJNEQCNcUX0HSEEmgmBBMDox0KxFk0AQMIf4a9YnCr+3AHAw8epzQA+vgMzgIr9FNocATC0dMmoSAg0CwIJf+aOqzghkPBH+IthZLgAeBAatWykpPmK5RV4fIdnOQWsRM3SjRAAS9fQeguEQHMgkABo7nCKCwAJf4S/mEaFA4CHjVULgE8MIgDG5M86zRIATfFEzP0gBJoBgQTAmAdCgebjAEDCH+EvxhHhAuDBSjOATwx6hhnAGJ2a3TQB0BBHmNANQmC8EEj4M2EUFO5DlBBI+CP8xTwiHAAc/qFaAHxyRwJgzH6tbZ4AaIonDOkHITA+CCQAGjIIDMgCEv4IfwaMBgcAD1UMgE8RAA1wbaYLBEBjXGFORwiB0UMg4c+c+C/WE91ZQMIf4a9YDEb0uQOAh3xwiNIp4KcHP80p4IgcWKwZAmAxhVL6OSEwWggkANoz0HQCIOGP8GfQSHAB8FDFAPgUAdAQJxMADXGEid0gBEYDgYQ/E6O/cJ90QCDhj/Bn2EhwAPDgD9QC4DODCYCm+JkAaIonDO0HIVA/BBIADQ3+At1SDYCEP8KfgaPAAcCD3lcLgM/uRAA0xdcEQFM8YXA/CIF6IZAAaHDw19M1lQBI+CP8GToCXAAcrnQK+NmdnuQUsCEOJwAa4gjTu0EI1AOBhD/TI7/+/qmAQMIf4c/gEeAA4LD31ALg8zsTAE3xOQHQFE9Y0A9CoHoIJABaEPiasoCEP8Kf4dHvAuBhSjOAz+/8BDOAhjieAGiII2zpBiFQHQQS/myJevVZQMIf4c+C6HcA8IB31QLgC7sQAE3xPQHQFE9Y1A9CoBoIJABaFPQKs4CEP8KfJZHvAODQdw9XmgF8cZfHmQE0JAAIgIY4wrZuEAJLh0ACoG1RX7e/QdcBEv4IfxZFfQYA31EMgLsSAE2JAQKgKZ6wsB+EwPAQSPizMOBLzAIS/gh/lkW9A4D7OwDYWEnXK5avxksEQCVaqjBCAFShYoptEALDQSABMDmDxk8WkPBH+LMw4h0A3O9ttQD48m7MAJoSCwRAUzxhcT8IgcEgkPBncbCHyAIS/gh/lka8A4D7KgbAVwiAxoQDAdAYV9jdEUKgfwgkANod6/l6X18WkPBH+LM42l0APELpFPAruz0mkrQBsNRibRLRdQJgItxoxk0QAotDIOHPjFjV0YtcCCT8Ef50xFmENh0A3OcttQD46hACYIQ+LNgUAdAUTySkH4TAwhBIAExIoOe5jWwAJPwR/hIQ6Q4A7v3WCKUZwNeGPMoMoCHBQQA0xBFJ6gYhsH4IJAAmKdLXvhcPAAl/hL+ERLkDgHu9qRYAX9+dAGhKfBAATfFEwvpBCKzr0AknT06Yl3k7uQr0H7MfRcmjQJPOz/G7xr7IcABwzzePVJoBfGP3R5gBNCQWOCgNcUQSu0EIXNurBMAkRvna90QArOtjwp+1cb8GAFsoOgdwxWoQAM2JBwKgOb5IZE8IgRm3Ev4SGd55b4oQuEYWwp/Vce8A4B6SAVQIgGOYATQmKAiAxrgicEcuAnAIgE0B/AZgLIALAExzLbUDcAWAvQB0BfALgGcBXCKDOqu1mjwtHwnAWajhXpcBGAlgNoATAUwP0ltCIAEwSLzYXpYAmPFgCPj7EwD5s6EbA18CuBLAK+7/TwFwFID+AFoBWAfArznxIs+o7jk/k2flNVk/k2fZ3wEsAnAqgPG2x5ym/mcAcMxRaKgIACtXrMaYPR6W7vIYGE1OC2KWABhELbPKvupC2icAGgK4GsCWADYHsML9twDgAwCmug/FOwFMATA8BwBPACD2vEseqqvc/+yI/2/vvGNtKeo4/gWUaqKJ0h5I702kiYD0XqWj1AcPUGPQaECEPzQaNQQRAwRC74oCIogUEVBUQKQLIr2IVBMVKfKkmO++OXI8nHvvKbM7s7ufSd4f3LM75fObe+5nfzOzSMeHL+Z1Je0UpHIoGm2XQDKAQ02XWl+MAI4kf475DpLelPRImAD7Szpc0kclWQa/KGnu8Nl3JhHAMyWd3jWJ/hW+E/2jxSRdL2k/SYsEwfR3JuXdBAoB3CyyAF5fngA66XFimEdvSbpU0hckvTxJcD2fjpO0l59ZJF0r6XOSnu9zzwcleSO3502/h4/azSEEsHYhm7DD80t6QdJGkm6a4KrdJV0gaT5Jb4RrnAHcOWQH+922vaQZknyvn7z9C7bOKNjaKoHI3yizpd73tFkCR8j8TRZsZ+ksgZa6TtlY0o2TCOD3Jflfv+KH5LMluY4FJN0gacl6z7bSej9LAK/bO2oG8PotLnSHy8gAOlO8sKRDJb03xNkJEmeNJyqnSNpO0gFhZewkSZZHJz56i1fQvBlyGwSwtDlHxSMSWEbSw5JWlXTfBHVY5PzkbFnsFAvgM+Hp5zFJzhL6C7KzNOxfpCskbR6epJw99BP0SKWNEogAjjRVan1TWwUwovzNER46zw0ZQK9idMpUAuisjr+3npLk9UavYHQeeF2HZdLZxZlha0thJJR3ESgEcNPIAnhDOQK4YljpWlvS7WEkW0u6StKi4W9c7wAtoS8GQbwkfOgtVQ9I+rikW7tu8NaEPUPG2H//yADyC5MNgdmDpH1A0gYT9OpDPosQMoBHd13jPYF+Cn41LO162fgISSf01OOnZS8N+0tzrNImCUT+xpoqtb65bRIYSf78AHtLWOr10p2zN/4j3l0mE8AvSboz7O9bLzzw+oHWP+8uXs7zd573T1P6EygEcJPr9omaAbxxCy9CFVLmpflOeV2S/41avDfdS7kWs07x1ihvZfLq1WV9Kt40JDN6Ze7JkEH2g4OLtwhY+j4maalJss+j9j3ZfSwBJ0MftWGnsZ2Wtvw93adm/yJfF74Ud5T0n0la96Zr7wn0wZHSSlskEAEsbQplX3GbBDCS/DmmXmLzPj0/zO4atp94W8ugGcDeeWExOFXS+8YUjOznWwkdnCWAv4gsgFsWAthbnHj4+hhjOCpkdZfvqcPbonyI0X8je4sfLvxw4L1/3eW2IHk+VOnP/N/HhuTJZA8fY3Q/za0IYBruMVv1ngUfzNhQ0uN9KvZpOW9s9dOu9/N1DndM1Afvh7hS0jwDXDvWONoggQjgWFOk1je3RQAjyl+/eP9S0qNhX1fn82H+CK8ctsR4aa/zhoRaz6sKO18I4EbX7hs1A/jrrc73EAbNAPr0tkVssuLlX78Rw8v6vQLoJV6vcnlr06AC6H2DzvgdKel7kqaFQyK+f5i5V2GoRmsKARyNWw53OXY+kOEDHJ6U3v/XW/wLbPlzat3/iwJL4FTFy8NfluQTVaWXJksg8lf69Mm+gaZLYMny5/h6e4r38nmTfqcM80d4b0nnSfIWmL9nP2Hy6mCZAjjoIRDvV/dy/WTFe9f3KWkJ+O6wr76zJ95/d73lyqfVvxWyi3lFbYjeIIBDwMrs0pPD/hhn/7qfbP2OP+9rcebPy77zBkn0q2E6xU9FnsB+7YL39nmzqyVxC0nfDf+cNq+kNFUCEcBKpk/WjTRZAEuQP7/Kyic5/xK+v7xE5+zPVuG7bCFJ/rdWeM2LVz28j8yC6NPC3rjvfVo+Ieyf+7+9j8t1OjtEGY5AIYAbRs4A3jQrAzioAA7a484hEM8N73V38Ttw/XqzqQ6B+L23fmWMy3Lh72nnEMjSYTWs0w8fMjlLkveXOjPtJebaFgSwtqH73ynd3hF4/57f/dd5Su43Qr/2wC9M9Skpnwr2CWLPBb9/y3sl/A4tH4WvrDRNApG/yqZO9g01UQJLkD/H0adzNwuv8vCDrN9ZekyQP3/uPWL9Hkw733l+TZUfjL3c671b3hJj2/Ay3jgHDLKfYyV1sBDAT1yzX9Ql4N9s7YRsdAF0nRb9BcPLvTuvgfGJ4M5rYPz+vs47IL2vz8V/77w65gzzS2FVzT+34PUrw2SfSwpLvGoRwHgsqWlMAk2SQARwzMnQoNubJoAlyV+DIt6YodRNAL1tyXvivbLVeRH0YV0vgvb/YcYPBZtI+lWIUudF0M4Cdr8I+jkEsDHzmIHUhUATJBD5q8tsq66fTZFA5K+6OZNBS4UAbnB13Azgb7cpLQOYAbJ6dYEMYL3i1Yre1l0CEcBWTNOhBtkEAUT+hgp5Ey4uBHD9q/aPugT8u239bu9SloCbwLzSMSCAleKmsUEJ1FkCEcBBo9ye6+ougMhfe+Zq10gLAVwvsgDejABmM5kQwGxCQUd6CdRRApE/5vFEBOoqgchfa+f0LAH8edwM4M3bkQHMZUYhgLlEgn70JVA3CUQAmchNEkDkr9XzuRDAj0cWwFsQwGwmFQKYTSjoyEQE6iKByB9zeCoCdcoCIn9TRbPxnxcCuO6VcTOAt25PBjCXmYMA5hIJ+jEpgTpIIALIJJ6KQF0EEPmbKpKt+LwQwI/97ICoh0B+v4NfU8shkBxmEAKYQxTow0AEcpdABHCgMLb6ojoIIPLX6inaPfhCANeJLIC3IYDZTDAEMJtQ0JFBCOQqgcjfINHjGhPIWQKRP+ZoFwEEsOHTAQFseICbOLwcJRABbOJMK2dMuQog8ldOvGtcayGAa18Rdwn4DzuyBJzLnEAAc4kE/RiKQE4SiPwNFTouzjALiPwxLfsQKARwrcgCeDsCmM1kQwCzCQUdGZZALhKIAA4bOa7PKQuI/DEfJyBQCOCal8fNAN6xExnAXGYcAphLJOjHSARSSyDyN1LYuCmTLCDyx1SchMAsAfzpdM0x35xRQL35ykzd8cmzXdf7Jb0UpVIqGZkAAjgyOm7MhUBKCUQAc5kF9etH6iwg8le/OVNxjxHAioFX3RwCWDVx2iuFQCoJRABLCWcrKk0pgMhfK6bYuIMsBHCNy+JmAO/cmQzguIGJdT8CGIsk9SQnULUEIn/JQ177DqSQQOSv9tOmqgEggFWRTtQOApgIPM2WQ6BKCUQAy4lhm2qtWgCRvzbNrrHHWgjgR38SNwN41y5kAMeOTKQKEMBIIKkmHwJVSCDyl0+8696TqiQQ+av7TKm8/4UArn7pgVEPgdy961keCIdAKg/nuxtEADMIAl2IT6BsCUQA48esrTVWIYDIX1tn11jjLgTwI5EF8B4EcKygxLwZAYxJk7qyIlCmBCKAWYW61p0pWwCRv1pPj5SdLwRwtUviZgDv3Y0MYMqgdreNAOYSCfpRCoEyJBD5KyVUra60LAlE/lo9rcYdPAI4LsHM70cAMw8Q3RufQGwJRADHjwk1/D+BMgQQ+WOWjUmgEMBVnQGcN9KLoF+dqT+SARwzLPFuRwDjsaSmjAnEkkDkL+Mg17xrMSUQ+av5ZMij+4UArnLxQVEF8L7dz/ToOASSQYwRwAyCQBeqIRBDAhHAamLVxlZiCSDy18bZU8qYCwFcObIA3o8AlhKsUSpFAEehxj21JTCOBCJ/tQ17bTo+rgQif7UJdR06OksAfxw3A3j/HmQAcwk+AphLJOhHZQRGlUAEsLIQtbahcQQQ+WvttClr4IUArhRZAP+EAJYVr6HrRQCHRsYNTSAwigQigE2IfN5jGFUAkb+841rT3hUCuOKP4mYAH9iTDGAu8wEBzCUS9KNyAsNIIPJXeXha2+CwEoj8tXaqlD3wQgBXuGhG1EMgf97rDPebQyBlR2+A+hHAASBxSXMJDCqBCGBz50BuIxtGAJG/3KLXqP4UArh8ZAF8EAHMZpIggNmEgo6kIjCVBCJ/qSLT3nYHkUDkr73zo6KRI4AVgU7VDAKYijztZkVgMglEALMKVSs6M5UAIn+tmAapB1kI4HI/jLsE/NCnWAJOHdhO+whgLpGgH8kJTCSBCGDy0LSuA5MJIPLXuumQasCFAC4bWQAfRgBTxfNd7SKA2YSCjuRAoFcCkb8cotLOPvSTQOSvnXMh0ahnCeAP4mYAH/40GcBE8UQAcwFPP/Il0C2BCGC+cWp6z3oFEPlresSzG18hgEtfeHDUU8CP7n26B8op4AzCTQYwgyDQhfwIzLx5zYfumHHvsvn1jB61iUCQwJfmmna5/2BSIFAlAQSwStoJ2kIAE0CnyXoQeOTzCx/9wg0vrj3bbLNtr7c1Rz16TS8bROCexQ9f7f5p0+/Yu0FjYij1IVAI4FIXxM0APrYPGcBcpgACmEsk6AcEIAABCEAgHwIIYD6xKKUnCGApWKkUAhCAAAQgUGsCswTw/IM1+7xzRhnIW6/O1GP7kgGMAjNCJQhgBIhUAQEIQAACEGgYgUIAlzzvkKgC+Ph+pxkTh0AymCwIYAZBoAsQgAAEIACBzAgUArhEZAF8AgHMJswIYDahoCMQgAAEIACBbAgUArj4uXEzgE/uTwYwlwgjgLlEgn5AAAIQgAAE8iGAAOYTi1J6ggCWgpVKIQABCEAAArUmUAjgYufEzQA+dQAZwFxmBQKYSyToBwQgAAEIQCAfAoUAfvjsQ6MeAvnL9FM9Qg6BZBBnBDCDINAFCEAAAhCAQGYECgFcNLIAPo0AZhNmBDCbUNARCEAAAhCAQDYECgFc5Ky4GcC/HkgGMJcII4C5RIJ+QAACEIAABPIhgADmE4tSeoIAloKVSiEAAQhAAAK1JlAI4LQz42YAnzmIDGAuswIBzCUS9AMCEIAABCCQD4FCABc+wwI4V5RevfXq63p2BgIYBWaEShDACBCpAgIQgAAEINAwAoUALhRZAJ9DALOZJghgNqGgIxCAAAQgAIFsCBQCuOAJ0zXbPHNG6dTbr83U84ed7bp4DUwUouNVggCOx4+7IQABCEAAAk0kMLekxyUtFHlwz0laUtK/I9dLdUMSQACHBMblEIAABCAAgZYQsATGSf+9A2wm8pfH7EEA84gDvYBAzgS+KmkXSStIek3SzZK+IunB0OklQqag3xj2kHRx+GAxSadI2kTSy5LOleS63+i68WuSDpb0hKQDJT2UMxj6BgEIQKCuBBDAukaOfkOgOgLXSLpI0h8kvUfStyWtImklSa9ImkPS/D3dOUTSEWH5yLLna+6W5OWfwyUtLOk8SadLOircu76k4yV9VtK6knaStGV1w6QlCEAAAu0hgAC2J9aMFAKxCFj2XpC0kaSbJqj0Lkl3SjoofL6NpCslTZP0fPjZZyQdE+TRy0LbS5ohaXdJa0g6UdI6sTpNPRCAAAQg8A4BBJDZAAEIDEtgGUkPS1pV0n19bl5T0u2SnNHzcrHLNyTtKGn1ruu9EfyxIHsWxvdKukLS5mGJeDdJ1w/bOa6HAAQgAIGpCSCAUzPiCghA4B0CswdJ+4CkDSYAc7KkjcMSceeS0yQtLmmrrnvmDUvI20q6uuvnC0j6hyRnBSkQgAAEIFACAQSwBKhUCYEGE/AhDi/nWv6e7jPOeSQ9K+mbko7r+nwyAXR93mdIgQAEIACBiggggBWBphkINIDASeFgxoaTnPrdV9KZkhaR9GLXmAdZAm4AIoYAAQhAoB4EEMB6xIleQiAlAX9P+EDGzmFp1/v/Jiq/kvQ3Sd6/1106h0B8+tcHSFx8UvhYSV7yfT3lAGkbAhCAQNsIIIBtizjjhcDwBLyn79Mh+9d5959r+Wd4L2CnRh8O8Xv7vKevd0m38xqYZ7peD3O+pDO6XgMzfM+4AwIQgAAERiKAAI6EjZsg0CoCb08w2umSzun6zO8H9BKwD3u81ece/9x7CH1AxO8P9Iugj+x5EXSrwDJYCEAAAqkIIICpyNMuBCAAAQhAAAIQSEQAAUwEnmYhAAEIQAACEIBAKgIIYCrytAsBCEAAAhCAAAQSEUAAE4GnWQhAAAIQgAAEIJCKAAKYijztQgACEIAABCAAgUQEEMBE4GkWAhCAAAQgAAEIpCKAAKYiT7sQgAAEIAABCEAgEQEEMBF4moUABCAAAQhAAAKpCCCAqcjTLgQgAAEIQAACEEhEAAFMBJ5mIQABCEAAAhCAQCoCCGAq8rQLAQhAAAIQgAAEEhFAABOBp1kIQAACEIAABCCQigACmIo87UIAAhCAAAQgAIFEBBDAROBpFgIQgAAEIAABCKQigACmIk+7EIAABCAAAQhAIBEBBDAReJqFAAQgAAEIQAACqQgggKnI0y4EIAABCEAAAhBIRAABTASeZiEAAQhAAAIQgEAqAv8F+mkxk69oxiMAAAAASUVORK5CYII=\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# prepare data\n",
"data = timestamp.T.values\n",
"theta = np.append(timestamp.index.values * np.pi / 180, 2*np.pi) - (22.5 * np.pi / 180)\n",
"tilts = np.asarray(range(5))\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
"VARIABLE = 'Bias Jun - 19h'\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar( extend = get_cbar_extent( data, VMIN, VMAX ) )\n",
"cb.set_label( VARIABLE )\n",
"\n",
"# FORMATTING\n",
"ax.set_frame_on(False)\n",
"ax.tick_params(axis='x', which='major', pad = -5)\n",
"ax.set_yticks(range(4))\n",
"ax.set_yticklabels(['flat', 'shallow', 'medium', 'steep'])\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot timestamps per month with time axis"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_bias = pd.read_csv(os.path.join(path, 'GVA_bias_partly_shading_cats.csv'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Create weighted average (weighted by roof counts) to reduce dataset by tilt category"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_cats = get_3d_df( partly_shading_bias.set_index(['orientation_cat', 'tilt_cat']) )"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [],
"source": [
"roof_count = bias_categories.set_index(['orientation_cat', 'tilt_cat'])[['roof_count']]\n",
"partly_shading_cats = xr.merge([partly_shading_cats, roof_count.to_xarray()])"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (orientation_cat: 6, tilt_cat: 4, timestamp: 146)\n",
"Coordinates:\n",
" * orientation_cat (orientation_cat) object 'E' 'N' 'S' 'SE' 'SW' 'W'\n",
" * tilt_cat (tilt_cat) object 'flat' 'medium_tilt' ... 'steep_tilt'\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" partly_shading (timestamp, orientation_cat, tilt_cat) float64 0.0318 ... -0.04589\n",
" roof_count (orientation_cat, tilt_cat) int64 431 9012 ... 3060 797"
]
},
"execution_count": 134,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_cats"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_cats['shade_weighted'] = partly_shading_cats.partly_shading * partly_shading_cats.roof_count\n",
"partly_shading_sum = partly_shading_cats.sum(dim = 'tilt_cat')\n",
"partly_shading_sum['partly_shading'] = partly_shading_sum.shade_weighted / partly_shading_sum.roof_count"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_mean = partly_shading_cats.sum(dim = ['orientation_cat', 'tilt_cat'])\n",
"partly_shading_mean['partly_shading'] = partly_shading_mean.shade_weighted / partly_shading_mean.roof_count\n",
"partly_shading_mean['month'] = partly_shading_mean.timestamp.dt.month\n",
"partly_shading_mean = partly_shading_mean.assign_coords(timestamp = range(len(partly_shading_cats.timestamp)))"
]
},
{
"cell_type": "code",
"execution_count": 138,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
},
{
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"for month in range(1,13):\n",
" partly_shading_mean.partly_shading.where(partly_shading_mean.month == month).plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Alternatively, select a given tilt category"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_sum = partly_shading_cats.sel( tilt_cat = 'steep_tilt' )"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (orientation_cat: 6, timestamp: 146)\n",
"Coordinates:\n",
" * orientation_cat (orientation_cat) object 'E' 'N' 'S' 'SE' 'SW' 'W'\n",
" tilt_cat <U10 'steep_tilt'\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" partly_shading (timestamp, orientation_cat) float64 0.06667 ... -0.04589\n",
" roof_count (orientation_cat) int64 858 4980 891 2146 2092 797\n",
" shade_weighted (timestamp, orientation_cat) float64 57.2 13.29 ... -36.58"
]
},
"execution_count": 140,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_sum"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"NW = 0.5 * ( partly_shading_sum.partly_shading.loc[:,'N']\n",
" + partly_shading_sum.partly_shading.loc[:,'W'])\n",
"NW.coords['orientation_cat'] = 'NW'\n",
"\n",
"NE = 0.5 * ( partly_shading_sum.partly_shading.loc[:,'N']\n",
" + partly_shading_sum.partly_shading.loc[:,'E'])\n",
"NE.coords['orientation_cat'] = 'NE'\n",
"\n",
"partly_shading_sum = xr.concat( [partly_shading_sum.partly_shading, NW, NE], dim = 'orientation_cat' ).to_dataset()"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_sum['month'] = partly_shading_sum.timestamp.dt.month\n",
"partly_shading_sum['hour'] = partly_shading_sum.timestamp.dt.hour\n",
"\n",
"aspect = [orientation_dict[ val ]* np.pi / 180 for val in partly_shading_sum.orientation_cat.values ] \n",
"timestamps = partly_shading_sum.timestamp.values\n",
"\n",
"partly_shading_sum = partly_shading_sum.assign_coords( orientation_cat = aspect, timestamp = range(len(timestamps)) ).sortby(['orientation_cat'])"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (orientation_cat: 8, timestamp: 146)\n",
"Coordinates:\n",
" tilt_cat <U10 'steep_tilt'\n",
" * timestamp (timestamp) int64 0 1 2 3 4 5 6 ... 140 141 142 143 144 145\n",
" * orientation_cat (orientation_cat) float64 0.0 0.7854 1.571 ... 4.712 5.498\n",
"Data variables:\n",
" partly_shading (timestamp, orientation_cat) float64 0.0493 ... 0.1077\n",
" month (timestamp) int64 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12\n",
" hour (timestamp) int64 8 9 10 11 12 13 14 ... 10 11 12 13 14 15"
]
},
"execution_count": 143,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_sum"
]
},
{
"cell_type": "code",
"execution_count": 144,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"1500\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"MONTH = 10\n",
"VMIN = -0.2\n",
"VMAX = 0.3\n",
"\n",
"to_plot = partly_shading_sum.rename({'partly_shading' : 'shading_bias'})\n",
"\n",
"plt.figure(figsize = (15, 15))\n",
"for MONTH in range(1,13):\n",
" \n",
" ax = plt.subplot(4,3,MONTH, projection='polar')\n",
" ax.set_theta_zero_location('S')\n",
" ax.set_theta_direction(-1)\n",
" ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
" get_month(to_plot, MONTH).shading_bias.plot(cmap = cm, vmin = VMIN, vmax = VMAX)\n",
"\n",
" # FORMATTING\n",
" ax.set_frame_on(False)\n",
" ax.set_xlabel('')\n",
" ax.set_ylabel('')\n",
" ax.tick_params(axis='x', which='major', pad = -5)\n",
"\n",
" hours = to_plot.hour.sel( timestamp = ax.get_yticks()[1:-1]).values\n",
" ax.set_yticks( ax.get_yticks()[:-1] )\n",
" ax.set_yticklabels(['%dh' %hour for hour in hours])\n",
" \n",
" ax.set_title(calendar.month_name[MONTH])\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig('shading_bias_steep.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## PLOT FINAL POTENTIALS"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"# fp = '/work/hyenergy/output/solar_potential/technical_potential/pv_potential_ELM50_1000_dhm25_200_roofs_yearly.csv'\n",
"fp = '/scratch/walch/workspace_tilted_irrad/PV_all_interp_yearly.csv'\n",
"PV_pot_yearly = pd.read_csv(fp)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"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>panelled_area</th>\n",
" <th>tilted_area</th>\n",
" <th>available_area</th>\n",
" <th>yearly_kWh_m2</th>\n",
" <th>yearly_PV_kWh</th>\n",
" <th>yearly_PV_all_area</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>1.437423</td>\n",
" <td>15.948816</td>\n",
" <td>1.437423</td>\n",
" <td>1347.372656</td>\n",
" <td>263.397304</td>\n",
" <td>2922.503751</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>0.000000</td>\n",
" <td>13.730555</td>\n",
" <td>0.000000</td>\n",
" <td>564.570217</td>\n",
" <td>0.000000</td>\n",
" <td>1054.253283</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>29.414390</td>\n",
" <td>63.437476</td>\n",
" <td>29.414390</td>\n",
" <td>1140.713599</td>\n",
" <td>4563.261613</td>\n",
" <td>9841.502922</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
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" <td>38.368910</td>\n",
" <td>14.224941</td>\n",
" <td>1140.718178</td>\n",
" <td>2206.824277</td>\n",
" <td>5952.463436</td>\n",
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" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>10.472945</td>\n",
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" <td>10.472945</td>\n",
" <td>881.565997</td>\n",
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],
"text/plain": [
" DF_UID panelled_area tilted_area available_area yearly_kWh_m2 \\\n",
"0 1 1.437423 15.948816 1.437423 1347.372656 \n",
"1 2 0.000000 13.730555 0.000000 564.570217 \n",
"2 3 29.414390 63.437476 29.414390 1140.713599 \n",
"3 4 14.224941 38.368910 14.224941 1140.718178 \n",
"4 5 10.472945 36.403273 10.472945 881.565997 \n",
"\n",
" yearly_PV_kWh yearly_PV_all_area \n",
"0 263.397304 2922.503751 \n",
"1 0.000000 1054.253283 \n",
"2 4563.261613 9841.502922 \n",
"3 2206.824277 5952.463436 \n",
"4 1255.632561 4364.496713 "
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_pot_yearly.head()"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"ROOF_fp = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
"ROOFS = pd.read_csv( ROOF_fp, usecols = ['DF_UID', 'FLAECHE', 'panelled_area_ratio_ftr', 'NEIGUNG', 'AUSRICHTUNG', 'GWR_EGID', 'GAREA', 'panel_tilt', 'XCOORD', 'YCOORD'])"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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"text/plain": [
" DF_UID FLAECHE NEIGUNG XCOORD YCOORD AUSRICHTUNG \\\n",
"0 1 15.948816 37 621674.951286 254203.972784 10.0 \n",
"1 2 13.730555 44 621675.374179 254206.313551 -170.0 \n",
"2 3 63.437476 12 621673.977050 254186.956803 -80.0 \n",
"3 4 38.368910 33 621696.695450 254249.767806 -80.0 \n",
"4 5 36.403273 35 621692.928934 254250.448974 100.0 \n",
"\n",
" GWR_EGID GAREA panel_tilt panelled_area_ratio_ftr \n",
"0 245033426.0 889.0 37 0.300963 \n",
"1 245033426.0 889.0 44 0.000000 \n",
"2 245033426.0 889.0 12 0.706207 \n",
"3 245033426.0 889.0 33 0.583806 \n",
"4 245033426.0 889.0 35 0.615329 "
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ROOFS.head()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
"PV_yearly = PV_pot_yearly.merge(ROOFS[['DF_UID', 'NEIGUNG', 'AUSRICHTUNG', 'panel_tilt']], on = 'DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
"# ADJUST FOR FLAT ROOFS\n",
"FLAT = -5.1\n",
"PV_yearly['tilt'] = PV_yearly.NEIGUNG\n",
"PV_yearly.loc[PV_yearly.NEIGUNG == 0, 'tilt'] = FLAT # NEEDED FOR PLOTTING"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"ASP_ROUND = 10\n",
"TILT_ROUND = 10\n",
"PV_yearly['tilt_round'] = util.round_to_interval(PV_yearly.tilt, TILT_ROUND)\n",
"PV_yearly['aspect_round'] = util.round_to_interval(PV_yearly.AUSRICHTUNG, ASP_ROUND)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"PV_mean = PV_yearly.groupby(['tilt_round', 'aspect_round']).mean()"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"PV_mean_array = PV_mean['yearly_PV_kWh'].to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"# merge the two outmost tilt bins\n",
"PV_mean_array.loc[PV_mean_array.tilt_round[-2],:] = 0.5 * (PV_mean_array.loc[PV_mean_array.tilt_round[-2],:] + PV_mean_array.loc[PV_mean_array.tilt_round[-1],:])\n",
"PV_mean_array = PV_mean_array.where( PV_mean_array.tilt_round < PV_mean_array.tilt_round.max(), drop = True )"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray (tilt_round: 8, aspect_round: 37)>\n",
"array([[ nan, nan, nan, ..., nan,\n",
" nan, nan],\n",
" [ 6149.600919, 6312.346006, 6459.285276, ..., 6297.163679,\n",
" 5775.265176, 6238.970103],\n",
" [ 5396.879409, 5759.289274, 5563.535797, ..., 6318.438232,\n",
" 6374.299763, 5974.804254],\n",
" ..., \n",
" [ 1989.933785, 1987.829924, 2034.723139, ..., 2150.318317,\n",
" 2012.944679, 1978.826532],\n",
" [ 592.502029, 572.424729, 584.547483, ..., 653.026193,\n",
" 692.248093, 578.431843],\n",
" [ 108.359745, 130.05623 , 99.312775, ..., 82.721479,\n",
" 114.519091, 78.990484]])\n",
"Coordinates:\n",
" * tilt_round (tilt_round) float64 -10.0 0.0 10.0 20.0 30.0 40.0 50.0 60.0\n",
" * aspect_round (aspect_round) float64 -180.0 -170.0 -160.0 ... 170.0 180.0"
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"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_mean_array"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"scrolled": false
},
"outputs": [
{
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" 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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
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0LRDmGJg0jpBNdFOXgqNpA0E/W8A2kDQQ5Q8FAiaQkfRPUQwmBUpfXzPChm4EaxAxilAsamOLigoOCVYEzrcX9jaVbDb/u78bsOR33F3uH0Wevj0SNfMIVArkewh3L4K5Stmo2btLGnn2gXugoL8hRUVFQRxHyo7jSkws55E01a0/o92M2pfbnStGgiavIDaQNAUc40TK5CqAjEA7CUQAJcbBsBUbefrNAowAPJwYAUyQwG6VynQ77GFhYXjKiurBpZ0HiD5ugx3F/cYDl/L7g1hV6g92vDATmgfA2DSXghX70DFyp8QXDMLO1fOieZ63KV1dXVTQqEQxSKj6WIOzOyEMcw2qArIAPhlb4+wKeBRyyh8X0qbQLhX0lCAATAN8fhSVsACBbrTmpT8/PzxNbWRri1228eV13U4CnfbD96ANoZpAkucBIEMgLqGihSpReXaeaha9SMqVv4oSaGKajq5IBQKTQRAYWf0egZ11ceZWIEUFJAB8Ku+4gBw5BIGwBT6Ie1LGADTlpALYAWEK0BrU04pKCgYHwwG9yjZbR9Xfq/DXUU99keOl5b76UwMgDqFcmY2OvGkasN8VCz9GjuXTpc8LmlrTU3Ni5Ikva6c6OFMw9mqbFcgBoD9BALgYgZAOwYNA6AdqnOdrMDfFaD1Wkfn5+efX1NTM7KoQz9XoNfh7uLeI5r29CVTkwEwa8YZeQYrVs9B1bKvsWP593V+v39ZZWUl7USkc01T3UCSNfpwQyxVQAbAr/uLA8DDFzEAWtqDSmUMgHaoznWyAg0K7OHz+S6VJOkMX1E7X0Hvke6SviPhK+mUvkYMgOlr6MAS6kKV2Ln8WwSXT4/uWD0vGggEvqusrKTj3Wg3sfwm5cQKmKhADAAHCATAhQyAJvZX0qIZAO1Qnets7goEAJxaUFAwIRgKD2rVb6SraMCRCLTrv+tGDhEqOQUCeQ2giN78Wxm1FVuxc9EXKFv4kSTVlO+sra19UpIkCoS71pQKuVBWIBZUuezrQR4UCIgDWFkXxeHzGQDtGFgMgHaoznU2VwV6er3ey10u1wX+Fp39hf2PdrfoNwo5Pjq9yKTEAGiSsM4qNirVyVPEFQs/iW7/azby8vyfV1VV0UkIdO4vbxxxVndlujUyAE7fXRwAHvYnA6Adg4IB0A7Vuc7mpAAF6h2dn59/dbAmdFirPoe4igYeh/yOg8R7+xKpygDYnMaa3Nba8s3YMf8j7Jj/seRxRdZUVVXRKQkUcFob4LbZ6cINFqYAA6AwKe0tiAHQXv259uxVwAvgtEBByT0SXB1KBh7jbjnoGHgLWlvbYgZAa/V2UG20cWTn0ukon/+BVF26OhKVIg9EIhFaK0gnGnBiBVJVQAbAGYPFeQAP/YM9gKl2RjrXMQCmox5fywr8XQGK03KOP7/ozhxfQXGLPU5zt+g/xtqzd+NtcgIE8hpA2+4VOnmkat3v2DnvrejONb9Jnpyc50KhIB2jxesEbeuVjK5YBsCZe4gDwBG/MQDaMSIYAO1QnevMRgWK3W73JZ5c/005Be0DbfY6AyW9D4HL7QD6coAJYAB0xJiv3rwEW35+Uw4y7fMH3g1Wld+iHHjvCPvYiIxQIAaAQwUC4DwGQDt6ngHQDtW5zmxSoK3H47kK7pyrCtv18ZQMHecq7L6fNev79KroBAAkWxkC9faY6flqtq/BjnnvoHThl1G/z/tJdXX1rQDmml4xV5ANCsgA+M2e4gDwkF8ZAO0YGAyAdqjOdWaDAi29Xu+NUhRXlHQf5i7ZY5yroNNgZ7aLAdCZ/eIAq2ortmD7vMko/fOjqD/XM6OqqmoCgD8cYBqb4FwFYgA4TCAAzmUAtKO7GQDtUJ3rzGQFAm63+wq3J/fWos67e1vtc54r0K6v89vjBAhkD6Bjx0mkeidK576J0t8/iOZ6PZODweB1AFY61mA2zE4FZAD8di8PCjzpI0RlJIqDf2EAtKND0+89O6zmOlkB6xWgXb3n+P3+e3wtu7dote/5rsKuw6y3ItUaGQBTVc6268KVW7Hh++dQsWoOpHCNfDpMl9HXQv3BQZs7Ns9+Gdv+/AR0OgiFFup82AT4WnSut7lqwwKsm/6I/H27fc9Cq0FHNdqe2rJNKP15IrYvni65XXg6HA7fDmCLbSJwxU5UQAbA7/b2CgPAg34OUzuLAZQ7scHZahMDYLb2LLdLlAJ0j5wcCAQecue16tRq3/Pcxb0OdtYaPz0tZQDUo5Jj8kRqKrD0jQtQ0GUoWg8+Fjl5JajduQ65xR3rjwnc8vNb2PzzG+g6+jrkFnfAplkvoaZ0Jfr+c2L9rvPFr56N9sPPgTe/FdZ8cQ96nvwIcgvbNtnOYOlKbPvpRZSvmhOKRqP3RyIRiiVY0eSFnKE5KBADwH0EAuAcBkA7Bg4DoB2qc52ZosChgUDg8WhOXv9W+5ztbjngH87Y1ZuqenZDIE8B6+458vxVb5iPXmMfS3gNef8WPn8y2gwbi7bDTpXzkJdvwXMnosvo69Ci72HyZwtfPE2GPk+gBH+9O0GGRX+r7rrtqFz/J7bPfj5avWVpRSgUugnAMwDktzWnZquADIDf7ysOAA/8iQHQjtHEAGiH6lyn0xXoHAgEngzX4eg2e53pbjXkBLi9fqfb3LR9NgOgmyZ4rE5RQNppdaXp10eeu8Jue4OmgSmGn6egNVoPPg6tdj9aLjxUtgGLXz4DfU5/Hnlte9VXuHzyFchr0wudRlwuf7Zt/idYP+N/oKPiWg0+Dp0P/bdh4wg2K1bORuns56S6yi2rqqurzwMw03BBfEG2KCAD4A/7iQPAA2YzANoxOBgA7VCd63SqArlut/uqnJycW0v6HOZrM3w8vPktnWqrcbssAkB3yyRHz9bZ8LhJYorTofCPx0fL/dtmz1NQ3HsEgpsWYf03T6Lz4Veh5YAxqNowH8snXY4BF7wrT++qadUnFM3Fhe5H/bf+s7pwENG6CDz+QuNjRnMFlbHt9/ew+aeJkteND4LBINHk+rQK5YszUYEYAA4XCICzGADtGAg2PJHtaCbXyQo0qcDIvLy8F7xFHbq2OegK54Z0abIZjWQQDIBJQS+ZCQ4CwGQmOgUM/3hsFPLa9UXvU5+oN3X9zMdQvWkJep/2ZKMA6HK50e1Iiu9sTgpXlmLrj89i57Jvaurq6m6RJImOl+NpYXPkdmKpMgD+uL84ANz/RwZAOzqaAdAO1blOJynQJRAIPEHTvW33O8fdavAJmb3OryllU4RAw7CXyI4MAECngCGt3aNd5l1G/V+9SaW/T8XmOa9j4AWTdU8BNzUc0vm+cu1v2PLdY9G6ys0rq6urzwcwI53y+NqMUSAGgAcIBMAfGADt6H0GQDtU5zqdoIDX7Xb/J2une5Mp3AQACgG9DPYAGhmYZnoLV392B8IVW3fZBEJTwNWbFslewYZNIKei7bCxstl1oSoseO6EXTaBGGlPKnnjpoWnBoPBywBsSKUsviZjFJABcNZB4gBw+HcMgHb0PgOgHapznXYrMDgQCLydU9CuX9uDr8zO6d4mANBU0Gusd632AiZZA2jmABQBhtWbFmPZpMvQfr+zUdLnUBn81n31EDqPvAot+o2SzacwMFt+eVMGPjkMzI8UBmbFLmFgzGyntmx5WviHZ7Dzrx9qw7U1FwB4DYAN6lvV4mZdjwyAsw8WB4D7fcsAaMeIYgC0Q3Wu0y4FvB6P54Yo3Le0HTbW3Xqvs+rjpdllkJX1ultHaX+AvakZAKBW4HRgsHzFLGz84XmEKP5fUQd5Q4i6C5jqaAgE/bESCHp3dD7sSvhadLGtj8v++gGbZjwsuaWar6urq89mb6BtXWFmxTEAPEQgAH7DAGhmhyUr2+7XgR1t5jqbpwKDAwXF7+UEWvZof9i1mXF8m4B+kqEvPtl51zczABQFgwKGgmVFRGrKseW7J7Bz+fehcChI3sDX2RtomfxWVBQDwBECAXAmA6AVHeekV4Ed7eU6m58C9V6/NnuOdbfZO/u9fgmhT9vvDIC23wXpeAZtN16nAWXLv8emmQ9LLkjfBivLTgewUeelnM3ZCsgA+NNh4gBw3+kMgHZ0uZ2vAjvay3U2LwV2zysoft+T16JH+8Ovy3qvX5Pgp/a9nXe9lR7ADFmBls0wGAmWxbyBf/1A3kDaKfwGewMz/iEsA+Ccw8UB4D5fMwDaMSrsfBXY0V6us3ko4HK73RPg9jzYeo+TXe32/VfWrvXTDX3N0QOYIQCodk02g2DZ8u+wfvrD8Lqj06ory+jsugw8n6V5PDx1tJIBUIdImZCFATATeoltNKJAq/yC4ilRj/+gjqNvcud3GGTk2ozImxL0OWXxB3sAdY2xbITBSPVObPz6PlRvXLC9prriSAA/6RKDMzlNARkAfx7pRYE3fYSoDEex91fsAbSjk9PvPTus5jpZgcQKHOjzF3xc2HVocbvDrobHX5Q1gSiEQJ8TvIAMgIbv3WyCwWhUwrZ5kylkjRSVItdKkvQwAMmwKHyBnQrIAPjLqFxhALjXl7XUHjotvNzOhjW3uhkAm1uP62vvRAD/AnA9gHs1lxwP4H0AdKjoDgBnAnhH8z39m6LS7gZgleZz+verAMw6n8rtdruvc+V472h/wHh3qyEnwOXSDO0MmwrUdpFw8FMLt+vOZwDUdwcmyZUtMFi1cSE2fHG7hNqK6dXV1eMAlKYljP6Lm3q20Z0xopFTTToA2KS/uqzMGQPA0QIBcBoDoB0jxa7XgB1t5Tr1K0APSVqnUwOghwJ7dLUKgDRuZgH4HcBFmmLpwUh3MoEelUGJYHAFgMNMOiqqXX5+/iT4Sg7sOOZmd6Bd38StzCAINA364pWx4+5nANR/FzaSMxtAMFJTgc0zHkLF2l/KQ9VVRwP4Tog4jRei59mmAiA9TOI9UlvYYwkZAOeOEQeAw75gALRg7P+tCjteAXa0k+s0pgA9JFsB6AXgIwDXKJdrAfBuACcC6Kd81x/AbMVjSA9OCgJL6RwATwMoUYDSmCWN5z7c7/dPLtztgBbtRkxAji+/8dwOhkDLoE+rkB13PwOgyPEvl5XJMEjBrLf98QE2ff+s5IrW3RqJROi5UidcpIYC9TzbVABswZtVEvaEDIC//kMcAO75GQOgiWM+adF2vALsaCfXaUwBekgSsL0C4E0AvQGsi/MA0nlU0wB0VOJ7XQKAFnbfAWASgG5KlTT1S0cTHGrMhEZz0y7fq9053nvbH3yZu+Wgo3ad8k12qQMB0BbwU/Wx6+63CgId2N8C74G/FZXJIFi9ZRk2fHGbFA3uoCnhk0xcC6bn2cYA2PhAjQHgkQIB8FNDAEgnmt+qLEFqr5w2Q/16pybEED3dbgNAgcjpXfYDgIsBLNM0rSWAxwEco3h1pwC4AkClJs9gAE8C2BvAViX//Wbex1aWbdcrwMo2cl3GFVAfkuTxo6nehQDOiwPAgPLrmNYKvqVA388AHlE+3x3ASgCrAbwI4HbjZiS8wu/3+ye6cgtO6XzUncmnfB0Oge42Cp3YCSl23f0MgIJuhcTFZCoI1tVUYsO0OxDc+OfKYDA4Ju5lLUozPc82FQCr4iqlZ9lAUYZkcDkxADwqF4UCdgFXhKPY8xNDAHgDgKuUdeoLAOwF4GUANwJ4TNH1WmUNO81E0RIkckzQO2mAZibqMwC0pvNCAF6lDHqHUdByStTOpQC+AnCPcv1LAK4E8FwG91+96Xa9ArJBu2xug/YheTCA6QDol1AfZROIOm6+B0A3IN1AmwHQOh66gcgzSFD4DYC/ABwEgPKmmzoGAoHPvC13273TP25zefNpljqFZCN01YOf1mwb7bHlbGAGwBQGrfFLMhEEo1Idtvz4PLb/8X5VbW3tCQC+NN7yRq/Q82xTAXBPABWa0ihWCUFgc08xADxaIAB+bAgAP1beN+SUUBN574KKV5DeTxsAPATgQSUD7TCmdxQB4dsAaMkSOTbIs/eLkucIAJ8C6KxcTx7DuwCQl1E2UFniRI4RdelTRh9daXQAACAASURBVI8FBsCM7j7TjNc+JKmSTwDQw48+p13A6rihX1W0WYQe1OQppDUztH6HfonROkACQPpFRp+rN1CqRu/j9/s/K+o1oiWt93N7clMtx7bQMAnhj1rBAJh6XzZ2pZ26mtOilErNRBDcvvBzbJjxqBStC18lSRI9Q0T1pp5nG08BNz7SZACcd6w4ABz6oSEAJA/geACjFQ/dEMXpQF5BOmmGNi6S42EogN80TaH3Ef2fpnnPVQCR3k1q8ijewVOU9xwtX6K2EvCpiZYykUOEpo8pEkZGJwbAjO4+04yPf0iS65xuHPpF9X8aAKSdvV8DoIXbdLPRGkBK5PGjG5FuuHbKjZqOsWd6vd6X2g4/39tq6Cn61vs1VZuo10lT9QBICn7aay20ZxeT7XgCWOEBtEtPHeOBsmycMRGbvqEltg3J16oLBlxO7xxACtdi/bSnsGP+DEQjtSjstTe6HHUlvAX03omlssU/YP20ZwCXC51GX4zivsOT1p6JEEihYtZ9crOESPXrNTU19MIP6ZS3sWx6nm0MgI0LLQPgb8f6hE0B7/Gh3LXkedN6XOnDRH3uVt45tDmRHA60JpCcDjRNS2l/Zc2fuj5dbQ2tTacnAzktCCJp+VJ82Aja5f1fZeMizWTRMiaa4VITTSHTrBf9vUjAeLS1CDse/7Y2mCvXpUD8Q5IuojcT/TLyawCQ/k1HOtHPN3KV36eU7lM+J68h3ZTqjamrck2mHK/Xex9ycid0PuIWd1H3fYxe33h+kyFBF/ipFppsS1Ih7HgCMADKALhz4Tfo9U/6TRVLLncOPPk0UwWs/fgRlC2djW7HX4scfz7WfvqY/MOnz3lPyN9LkVosfOxMdD2OljpFsWbq/Rjw7zfg9tBSpuQp00CwtmIrNnx2czS8c+2v1dXVRynTeOk8B/Q82xoLA7NNmQ1Jx4ZMvzYGgMcJBMCpCdmeNnHQZo/4dBqABxRnBMHYHgAeVdYF0q+qZAA4WQFGuj4ZANJGj5sBPKN4FeMBkNaAzlemkBdnekfa8fjPdM2ag/2JHpK0q3cJAII77biZCeAQAPvFHe00QwmoSm4JCg9jNAX8fv97nvw2ozsddafL37Kr0eubzm8idBmCv+YGgQyAMgCWLf4e/S5+4W/jlDZD/Hn/Ceh20k1oMZBuLaBm6xosevJf6HPek8jvMgB1NVVY/PR56Dv+Wfn7Jc9fhH4Xv4gcH+3NajplEghKkRA2Tn8QlSu+31xTU0NTcOl4XvQ82xoLBJ3q86zpTsmcHDIA/n68OAAc8oEhD+BaZS0e7c5V003K+j9am8dTwDrHEgOgTqE4m6UKtAgEAl/mtuq5Z6ej7nJ5/HTwiElJMASmBH4MgOI7V3C/ijaQAHDLj+/A7cuX17MS1HU8/ALklrRDxYpfsfzV/2D3az+CJ6+gvur5j5yGtvudhLbDyREPbJz5CjZ9+xpccKHDYeei3YF0oIaxlCkgSPECt/70Mrb9+k5lbW0thaBK5UelMXE4dzIFZAD840S/sCngwe/RmQO6j4IjLywBH8WXVROdWkUxZ2mjoroJhDaAqC52spmmd+M3gdAO4rlKIbSm8PMEm0BoGZN8WLEy9ayNf5vRo4QBMKO7LyuN75yXlzcz0HnPnh3H3Ay3hxyOJicBsJAW+GmbJ8AWw2pZ/RRgDyDKlv0EqTYIf6suCFduw6aZr6K2ohT9L3kJZUt+lKd097iZliA1pCXPXYyC3fZAp1ENS5LIWwiXW7fnL9HYyBQIJNu3/fYeNv/wTCgcDtNLmHZscrJegRgAniQQAKcYAkDy4o5U1ubRFDCtP6ewLBSihdZEUKK/r1PW+dE0Lm1YpEgW8WFgCO7oNCs1DAztCFbDwNB6DJr1ohuRljcNUuqYwGFgrB90XGP2K9Df7/fPLOpzeNv2IybIa6IsSymClzDwUxuaoh1p62QBBBYfQOG4aMmaBZUpgpR9S7NBzk+RYCUWPHoaOo+5GC6PLwkAXoSC3fZEp1G0H0J8yhQQ3Ll0BtZ9eZ9UFw6Rxye2a4aTlQrIAPjnyXnCPIC7v0sRXHR7AGlKiICOok+0VUK2UNgxijWrRptQA0HTzUKBoCkMGR1WQHH91EQ7qmhRrTYQ9L/jAkHTDmPKQ+Fi6LxqChytrnW3UnNT6rLuSWyK+VxoFimwn9eXN6P1Hif52+x3rpidvkbESQG8hMOfnRAo8ElQD3rJ9LcQAJOZ4EQwXPLcRSjsMUz+o2cK2MjwNpI3E0CwYs1crPnkZkkKh66XJIk2BKRwBxtRhfNqFIgB4CkCAXCyIQDkzhCkgMDHviCLuJjmqMCRHq9vavsDxnta7UEzOzYlna8Q08AvAwGwSdhL1JUOAMBEZtkJhXWhIBY8ciraj/gXWu0xRt4E0v3km1AyQNkEUroWi574Z/0mELPvkEyAwOotS7Fm6rUSIsEnQqEQTctJZuvC5csKyAA4f2wAhbnpI0RFbRSDJlVTuTTlWs4aW6dA+r1nna1cU3YqcFaON3dip5HXulv0pbCCNqdGINB08NM2XSeMClOriSdBSqDXmHEOhUCrwHD9F0+jqO9w5Ba3R7iiFJtmTkRw03L0u3QivPklsTAwy36KhYHxBbDuU5p5AvqcHwsDY1VyOgiGdq7H2g+vkaTgjinBYPAMDtFiyciIAeCpAgHwHQZAS3ourhIGQDtU5zpVBS7w5Pqf6Xr0ne7CrsOcoUoC8LIU/FQVrAZAqtcFCAe9ZL2aQQCYrAnpeAxXTr4dlav/QF2wHJ5AMfK77o6Oh58HX8tOcnX1gaD/nI5oXRiFPZVA0IUNgaCtvGGcDILhqu0EgdFI+YZPg8EgTSGke+qQldJmYl0yAC44TRwADnybAdCOgcAAaIfqXCcpcLHHl/dEt2PvdRd0os1ZDkoa+LIF/kgKCwGw5aGxsGp1YQt2XNcDbhY8enIaZhzLZvRy0AA2zxSngmAkWCZDYLhi8zfByjI601XEqSHmCZnZJccAcFy+sCnggW9VkSI8BWzxuMiCp7DFinF1aSvgdrv/neP1P9LtuPvc+R1pZ73zkru1hQSW1Etmri4q+Km1MAAa1FsDgNorsxoGPVFIpc58bURqKrAu5gn8vqqynGK6ybFFOAlXQAbAhWeIA8ABbzAACu8lHQU6807WYThnyUwFCP5c3rz/7Xb8/cjvQCGZnJdy2kcRjTjALhMYNB76tK1kADTY50kAMGth0NMwIJ0KgRQXceXUaxCt3vpzdVkpnUnOnkCDw1pHdhkAF51ZIMwD2P/1SqqWPYA6xBeZhQFQpJpcVlMKXOL15z/e/fgH3IH2/ZvKa8v3BH9qyhYIbAz64kW2DAIzfQ2gDvjLKhDUwJ+2XY4DQTdQF6rE2g+uiUbKNnxbVVlGnkBeEyj2aRoDwLMEAuBrDIBiu0hfaQyA+nTiXOkrMN7rCzzd7bj73fkd6Txt5yUt/DkGAlP0AhqBPlu8gM0MADMeBpMAILXLMRDoblCZPIFrP7g6Wlu+aYayJlA9yst5D57Ms0gGwMX/FAeA/V5lALRjGDAA2qF686vzHI8v74Vux97nLui0u+Nanwj8tEba7gk0AIGpgp/aXvYA6hyeBj2AyUrNiPWCjcCf2i7bIVADf6pNkWA51n7wf9HwzrWfBINBOjXCCQs7dA4wR2eTAXDJ2YXCpoD7TqygBvMUsMXdzgBoseDNsLrjPV7flG7H3esu6LyH45rfFPyRwU4HwHShjz2AKQxLQQDoeM+gDvizHQITwF8DBJZhzXtXRcNlG16rqak529r99SmMq8y4JAaA5wgEwJcZAO3oegZAO1RvPnUenOP1Te9yxE05xT0PdFyr9cCfarTTIFAk9MV3jCVewEyeAjYB/hwLggYAkNpguSewEfhTNQ1XbMWqyZdLkeod99fW1l7vuAdR5hkkA+DSc4uEeQD7vCQfAMIeQIvHAgOgxYI3o+p29+b6f2l/8GW5LQcd5bhmG4E/R0BgFDAT+iz3AjIA6ronbJ0iNgh/2gZZAoI64E+1qWb7GqycdLkUqamcIEnSY7rE50zJFJABcNl54gCw94sMgHYMNwZAO1TP/jq7+/3+uS2GndGy7d5nOq61qcAfNcJOL2Cbw35HnZRriZaWeABlQTP08WOyBzBRJ1sOgmnAn2q/qRBoAP5Ue6o2LsSqKf+RIrU1pwN4x5KbKTsriQHg+cXCPIC9XyhjD6ANYyVDn8A2KMVV6lWgdV5e3tyi/kd0bXfQ5XC5nDPEUgU/bcOthkACPzVZBYBUnyUQyACo956qz2cZCAoAQDLaFAhMAf5UActXzsGaj2+W6sK1YwB8ZbgD+AJSIAaAFwgEwOcZAO0YWs55O9vReq5TtAIFgUDgh0C3fQd3HHUjXO4c0eWnXJ4I+FMrtwICteCnbbRVEMgAmGSo2eD9i7fEdAgUBH+meALTgD/Vnu0Lp2Hz9IeCtbW1tDD515QfKs33QhkAl48XB4C9nmMAtGM4MQDaoXp21unNy8v7wt+u/4jOR9/jcnusma7UI6VI+KP6zATAZOBntReQAdC5AKhaZgoICoY/oRAoAP5Ue0rnTkLp7JfKQqHQXgCW63mOcJ56BWQA/OvCEhT60keIilAUPZ/dSYXzJhCLB1n6vWexwVydIxVw+Xy+530tup7b9YRHXDm+fMcYKRr+zPQCNgV/VkIgA6A4AFz9+qdY+fz76HTy4eh9+WlywXWhMP56ahK2TP8ZUjiClnsPRJ8JZyC3Jb1bY6n0h9/w11OTAZcLPS85Ba33H5LQKGEgaBL8CYFAgfCn2rP526dRtuCjNcFgkISVCYSTLgViAHiRQAB8hgFQl/KCMzEACha0mRZ3iS+/5PEepz3rzi1s6xgJzII/0RCoF/ysBEAZUsI+c/sy09YApjD9W75oJRbe+ixy8vNQMrRvPQAufeh1bJv9J/pdfzY8+QEse/RNwO3Cnk9eJ2su1Ybx0+k3ou91ZwNRYMl9E7HvW3fD7fWYB4EmA2DKIGgC/JEtUakO6z+5BdXr5s0MBoMjacibO+CzpnQZAFdc3EKYB7DH0ztIHPYAWjxEGAAtFjwLqzvM6/V+3u2Eh7z5HZ1xyofZ4Kftw3Smg42CHwOgzXePQQCMVNdg7gV3oPeEM7D6tU9Q0KuLDICRymr8cNxV6H/zBWg7YpjcqKrVG/HzP2/B0KeuQ/HAnohUBfHzubdh2LM3yt//euFd2OvlW+EJ+BsVIWVvoEXwZxgCTYK/+nspVIVVky6Nhss3PRYKha60eYRlSvUxALxEIAA+xQBoR+czANqhevbU2SM3N/f3todcUdBq4JGOaJWV8Cd7EVI4XCpV8NMKbMVmEPYAxg1pgwC46O6X4C3KR6/LTsW8Kx6oB8Advy7C7xMexgEf/w/ewkB9JbPGXovOJ49El7Gj5M9WTfwQq1/9FHABu513PLqefoTue8wQCFoMf7oh0GT4U+0I7ViPFW9fJNUGK88F8IpukZtvRhkAV15GAJh+J1WEJOz2BAOgHcOJAdAO1bOjzsK8vLx5xQOO6tnuoEsd0SKr4U9ttBEIFAF/VC8DoA1DzgAAbv56Dta89in2fPZG5Pi8uwDg5i9/wuL7JuKQr57epRFzL7xLnibuedHJ9Z+TtxBud5Oev2Rq6AJBmwCQbE4aJiZ9rjA0QCpWz8XaD68Ph8PhgwHMNnRx88scA8DLW6BIAACWEwA+zgBoxzBiALRD9cyv0+33+z8NdBg0uvMx97qcEO7FLvjTC4GiwC+rvICZtAbQAPzVbNmOuePvxJAHJ8heP0paD2BSABx/J0qG9UfPC08S+oRoFAJthL+knkCL4U+1o3TeFGyb9cKOmpqawQDWCe2E7CosBoD/bikOAB/bTgrxGkCLxwkDoMWCZ0N1ubm593gL21zT/ZSn3B5/w65Fu9pmN/xRu5N5Ac0AP1XnjPcCZikAbv1uHhbc9BSQoyGZOknezUsbPYY8cCV+v6rpKWDR99PfQNAB8Kdto+wNtAn+5Hs4GsWm6Q+hctmMBdXV1fsAqBbdB1lSngyAq64QB4Dd/8cAaMfYYAC0Q/XMrvMUry/wdo9Tn3L7W3aztSVOAD+tAFoINBP8rPQCil4H2LLor3rzXS5J+PhxYdcyS3f2E1OHAQ8gbf6o2bRtl3qX3PsyAl07oMvpR8DftoW8CWTALRegzSGxTSDVazdhzpk3128CEWN04lLqQdBhAEhrHaVt9r6SpEgt1n5wdTS0dfmUYDA4lrjQzL7I0LJlAFw9oZUwD2C3R+T7hT2AFg8Ie+82ixvL1aWtQC9Prn9h59E3eot7URB9e5PTAFD1BFoFf1Sf2V7AVAFQC3qNjRLREBgPgInqTgkKDQBgojq1U8D0vRwG5qc/0e+6c+DJz8Oy/70lX7bnU7EwMGYntzuCHd/0Nbsa/eVr3kR2Q2C4ajtWvHmBVFOx/SIAz+tvRLPJGQPAqwQC4MMMgHaMHgZAO1TPzDp9gUBgblH/Iwc6YdNHTmflh3kKu3DNlL/1wQ1n95pZj7ZsOyFQL+gl08IOAExmS1IwTBP+qL54AKwPBP31nPpA0BQuxteKnCDmJoI/NTkCAhO8heyGwIo1c7F66g11deHaPQDMN7dHMq70GAD+RyAAPsQAaMcoYAC0Q/UMrNPn8z3ha9ntkm4nPW77MW/18Kfq6AAI7HBow8bBcF2epT1sFQCmC3uJRHESACYFw4o+lvanmZVp4c8REJjkDWQ3AJI2m2e9hLI/pm4IVpXTAKgys18yrGwZANdc3VrYFHDXB0tJAp4CtnggMABaLHiGVne81xeY0nPcc25fSSdbm/A3+HMABGrhTzUnWyCwTeFi1EYKTOtzkQCoZ/o3lYZ4cmrqL9u0kzaIZm5KBIDUGls8gU28feyGQDopZO37/4kGNy95o6am5qzM7XXhlssAuPYacQDY5X4GQOG9pKNABkAdIjXzLN28vrwlHQ672tei72G2SpEU/myEwETwZwcEivQCEvTFJ7MgMNMAUNUlE0EwGfzZ4gnU+eaxGwJrK7birzfOl2qry88G8JqtD0DnVB4DwGvbCPMAdrlvK3sAbehfnbehDZZxlU5QwBsoKPmtoOdBAzocepWt9jQJfzZAYGPwR+ZkkhcwEfRpO7y5AqDW+5fsBsgEGGwK/rRtM90baPCtYzcElq+YhbWf3BaJhEODACyx9UHojMplAFx3nTgA7HwvA6AdXWvwVrTDRK7TLgW8vryH/MUdJnQf+5TL7fHZZYZcr24ApMwWrAlsCv4ywQvYFPQxAAJ6AFCrk1Nh0AgAUntMg8AU3zh2Q+Dm755F2cLPVgWryvoDaFgTYOtT0bbKGQBtk15sxSnejmKN4NIcqcDhHq9/Ws9xz9gf70/d8WtEJpMgUC/4aU210hOoZyrYCPip7WAPoJHBF8vrFBg0Cn9qS4VDYJpvGzshUKoLY+2UK6PB0jUvhGoqxxsfDVl1hQyA669viyJ/+pG7y2skdLpnCwnEm0AsHiZp3pIWW8vVWaVAkS9QsLr1vueVtB5yvFV1JqzHkOcvvgTBEJgK/JFJTgDAVKAvXk4zINDJawCNev+S3Sh2gmCq8CccAgW8aewEQNIjtGM9lr1+PurCNYcCmGnrg9HeymUA3HCDOADseDcDoB1dKuC2tMNsrtNMBfLyC1/zt+l9RpfjHnC5XOn/wkvV1rTgT61UEASmCn+qGVZBoNYDKAL6tH3HAJjqSG64zmoYTBcAyfK0PYEC3zJ2Q2DpvHex7adXt9VUV3QHUJn+iMjIEmIAeGM7YR7AjndtZg+gDUNB4K1pg/VcpRkKjPL48j7vffpL7tzi9maUr6tMIfAnCALThT+rIbBl/gpdGhvNxABoVLHE+XPcYazfHjsCzswkAv5U+1KGQBPeMHZCYDQqYe17V0WrNy1+LhQK0UkhzTHJALjxJnEA2OFOQwC4CkCic0ifAnApAD+AhwCcBoAWr38B4BIK7ajprK4AngZA3lwC+VcAXB+3gnwEgIcBDASwFsCdACZmU4ebcHtmkzzNri1FvryC1a2HX1DSevCxtjVeKPylCYGi4I/MMNsL2KYwtkGxTvKa0ndmACAZKmoaWHQcQFFTwNrOIPjTJrNAUCT8ae01BIImvl3shMDQzvVY/vr5UqS2ZiSAGabcbM4uVAbATbe0F+YBbH/7Jmqx3jWAbWhfoEYi2p39pQJzNDVPYHcUAArdUwbgCUA+JPwA5Rq69jdapgvg/wB0APCqcuzfDUqe3ZQTYJ4B8AKAwwE8qpRLQJkVycRbNCv0aVaN8Pv9Lwc6DPxX52Np6te+oWEKAFJPGpgOFgl+2kFkBgSq4KetJ5Mg0IkAaAb8Uf/EA6DaZyJB0Cz4U23VBYEWPD7shMDSee9h208Tt9dUV5AnqrlNBccA8L8CAfA2QwAY/14mMDsaQG8AZBvFlDkdwLtKxn4AFgEYDoCObPoHgI8BdNR4Bcmbex8Agsta5d8EkQSXanobQAmAI7IFDCy4TbNFqqxvx2iPL++z3me85M4typKp30RdpgMCzYI/1RyREJgI/qgeBsD07lerAVAkCJoNgGRroxBo4VvFLgiUp4Lf/0+0euOi50Oh0IXpjbaMuzoGgLd2EOcBvHUjidAZQIVGjRDtvWlCnVwAG5Sp2rsB0GkFXwNoAWCn5trVigfvEQC3A6ApLjrnWU3k8aO1M3vS0d0AvgXwK4ArNXnOUcow/8Bui4aEhbeqRS3ialJRoNjv9y9rvf/FbVpl29SvQQg0G/5EQWAy8NM21wwINGMauLl4AJN5/+KHaDreQCvgT7U3IQRa/EaxCwBJg9DODVj++nk0FTwKwPRUHrwZek0MAO/oKA4AbyaG+1u6DcCtTWg0FsCbAGhNHxVCnr+XlbV/2kvnKNP11wJ4TllDOEaTIaCc93wkgM8ALFXKuUeTh777BADlDWZo3+1itsW3azZIln1t8Pv9LwY6DDqn87H32zb1a9q0b7LuSuAJtAr+yKRUvYB6wE9tcnMCwExc/9fUk8QoCFoJfwkh0Ka3iZ0QWPrb+9g+6/lNwWCwJ4Dqpvo0S76PAeCdAgHwJhkAU/EA0no8mrI9RtE2GQD+rHgGr2sCAGl6+PMkAEhTwjR1nJctwcBtumWz5DbIjmbsk+P1zep95ktuXzEtibA+WQ5/ahM1EGgl/KnVG4FAI+Cn7cFMgEARHkCRANjU9O+ySX9i+aQ/UbWhXJa6uGcrDLxwb3Q8kCKDAHWhCOY99D3WfL4MUm0d2u/fFfvcdADyWpPjIJbWzViFXx+aBbiAPa/eH50PSbSpMZZXLwjaAYD1IPhtX+sfHJoa7YJAmgpeM/nf0cpNS+6NRCLqBgJbtbCg8hgA3iUQAG+UAVDvJhC1iXTT0LTtiQCmKh/yFLCBAcAAaECsLMyaEwgEfiseMnZQ233/ZUvzbIM/TWs7HETrgu1JeiAwVfiTYcSEHcGip4EzDQDXz1wJV44LBV1iS4FWfbQYiyf+ijHvnIbiXq3wy50zsOG7Vdj39pHwFvow955v4HJHMea1E2KAWFuHD498E/vdcSgQjWL2LTNx7GenI8er3dj49/HYGAjaCX8qMG+dMcSem0ip1S4IrN68FCveuUyqi4Rps8EyW0WwpvIYAN7dSdwU8A3rUwFAmh6m9ZddNFv86KakTSDjAExR5OijnOEcvwmEdv/KEagB0OkuDwBoq6w7pA0hNOW7u0ZSmmpuyZtArBlkXIv5ClyY36LDUz3OeNltx1m/ToC/bod+jdpIvvlKJ6mhMQBMB/y01YmGwOYOgIm68r2DnsOQCQegy6he+GDECxh+7xj535QqV23Bx8e9gzGvn4DWQ9ohXFmLT06ahCPePkn+/vNx7+GoKafAm0/r2RtPiSDQCfCnWt1cIXDTjEdRvnjajGAwSOFCok31Y4Z/LwPg5vs6CwPAdteuMwqAdELBSgBvAaBpXW2iMDAEbxQGhtz0jytf7q/8rYaBIbfjNQBo1+NrSrgXbRiYBUoImZeUzSWPcRiYDB+5bH69Aq1zc3NXdjri1oKiHvTDyPpkNwAS/KnJSRAoCvzUtokGQCpXJAQ6yQPY1PRv/F0i1UlYO205frr5S4x5ZxxqSqswY/wHOPG78cgtohi0sdAv749+Hf3O3B39/xnzkv3x9C+Y/9yvNAOMwZfvjYHnDjV0A2pB0C4ATKSV3QBIItrhCYwEy7H8lX9KoeoyovoPDHVm5mVuAMC89E+KKg9KSAEARysBnmntAW3Y0CY1EDR5AbWBoOVYM0qi6WMCRQr2XKUEgiaQ1K4OpyDRFAh6AK3aAHAHB4LOvMHKFidQgGL+5XfZ8+zOR91liz5Ogj8nQaBo+DMLAps7AO5cVoqvznoXdbUReAJeDL9nDDoe1B2rPl2CObd8hbG/0IEEDXH/Ph83Be327oShV+3X8KOjIgSX26XL85fsJt24055p18ZAublC4LY/P0Hpd09sqampoZAi2bwhJAaA93dBkSgAvIYO2jC8BtCWd1c2VcprALOpN/W3Ze8cr2+2XRs/nAh/dkNgSWCN/t5LIadoL2BzB8C6cB2qN1YgXBHC2q/+wor3F+CwF0/CjiVbEwLgZ6dNQft9O2HohAYATKEbd7nE54mFTFtVemC6RRm6Xo+X1G4ItMMLGNsQcnm0ctPSeyKRyI2GRM2szDEAfEAgAP4fA6AdQ4AB0A7V7a1T3vhRNPiUQe32oyUS1iYnw59dENiuaL5cdShCz1XzkkgIbO4AGN9LM8a/j4LOxeg6pnf9FHBeScP0WPwUcLq9rMKfWo5VEKgH/lSbmiMEVm9egpXvXBaORCI0bbg83X526PUxAHy4qzgP4FXyD2Cju4AdKk/mmMUAmDl9JcrS8fktOjxtx8YPT/coojpO4hDV0ETlaNf9NVaPVWsCVfhTbTETAkUCINnrJAgUEQbGCNzEj53p57+Pn6AAUAAAIABJREFUQIcC7HnNwbFNIPeNQffRsdAu5at24qNj3q7fBCJifMcDoBUgmIo+dkCgK7b0Uk51G6x/xSkbQqYrG0JEdLfTyogB4CPdxAHgBDqogwHQ6o62/u6wuoVcn1aBAp/Pt67DqBuLi3sdZLkyBICU7IJAvfCnCmM2BMbDn9kQ6AQAPKY9Hcn591QjpbdxMifB2dXTttDRoPqTXsD5/bEf0eHAbgi0K0SkuharP12KRS/PxYinj0P74V1jYWC+X4Xhdx4qr+/75Z7vZSNoF7CIlAz+zIRAvdokap+VEKiFP7sAkDaELH35DClcU0knTXwlos8dVkYMAB8VCIBXMgDa0ccMgHaoblOdbrf7lqJOA27teuJjlp/4ocKftulWgqBR+DMTApOBn9kAKL8QBcYFbMoDmAz2rALAZLdZMjDUCzk//fdrbJ6zFjVbq+At8KGkTyv0P2eYDH+yxqEIfnvoW6z+bDlorWDH/btg75sO2iUQdKqPgKbgzwwI1KtLsjZZAYDx4Ke1xQ4v4Naf38LOua8vrK6upjhyUqr97dDrYgD4v+7iPIBXrKKm8hSwxR3OAGix4DZW18br9a7petwD/oLO1u8cTASApIUVEJgq/JkBgU3Bn9kQaAYAGgG9ZOM/HQ9gIu+f0fuMoDBd0FHr1Hvmr1EbKb9eAKS8ItYFitLETAhsDP5Uja2GQClcg+WvnCkFy7dRKJJJqfS1g6+JAeATu4kDwMsopB8DoNV9zgBoteI21ef1eh8r6rbXZZ2PvtvyPk8Gf6oUZkJguvAnEgL1wl8mQOAJbeVde6gW5NuwGwCrNVPQs3fEPHmpJrMA0Aj8qbanA4Gi4E+1RTQE6gE/uwCQ6t32x8fY9sNT64LBYA86/jvV8eTA62IA+KRAALyUAdCOfrYcBuxoJNeJbm6Pd0WvU59257WhM8utTU0BoFkgKAr+RECgUfijOs3aEJKqF1CFPu3oyUYA1LYvFRg0AwBTgb90IFA0/ImGQCPwZxcERqU6rHj9XKmydA0FhXzG2qeuqbXFAPCpHuI8gJfQkb7sATS11xIUzgBoteI21JeXl/dmQY+DxnUcdb3lteuFPzMgUDQAko2pbAxJBf5UPeyGwETQ15wA0CgMmgF/ZEM6AGgUBM2CP1EQmAr8Ud1WTwNTnTuXfoPNX927o6amhs6rpRMnsiHJALjlaXEA2PbirARACghOuy0pHEBAOaN4HoBZAGqcMBAYAJ3QC+basHuOx/tb77NecfuK6exr65JR+NNalu60sBnwp9qnFwLTAT+tFmZAYFNewKbATzQEOmkKWM8dkswzaAYAioA/vRBoNvylA4Gpgp+2P62GwGg0ijWTL42Wb1hysyRJ9hy7pGdAG8sTA8DnCADpWN30UnmwDm3HZxUAngHgCgB7AdgMgM4cDgJoCYCm4Aj+3gBwHwB5+7NdiQHQLuUtqjcQCEwr7PePUe0PvsyiGhuqSQcAqZRUIdBM+NMLgaLgj+ozAwCp3HgINAJ92QSA2vV/Rm8SLQg6Hf6agkCr4I/sMLoeUAT8yWPehriAlWvmYfWH14cjtSH6Bb7N6BhzYH4FAHuiKCAAAKsJAP+iZmbDLmDy8NUqZwt/BCC2WLohUZTK4QBOA0DnRl8CYLJdfcwAaJfy1tQ73JPr/77P2W+6vYEW1tSo1JIu/GmNNQKCVsBfUxAoEv7UusyAQALAVKGPAfDvt9PPZWI97CI9f/HWxm8OsRL+VFv0QKAo8NO23w4IXDv12mjFmnkPh8Phqy19EJtTWQwAnxcIgBdkDQAeAeBznbK3AtAdwFyd+YVnYwAULqlzCszLy/uqeNDxh7c7YLzlRokEQDJeDwRaCX/JINAM+DMLAo9tvUnIuBCxEcTOKeB0PICqgEU5DY/Sr7e3F6KrmQBIBqoQaAf86YFAM+BPrddqCKzasBCrplwViYRDbQHsEDJA7CskBoAv9BLnATxfPjUvGzyA9vVKCjUzAKYgWoZcMpjW/vU9522XN5+WHliXRMOfanljEGgH/MVDoJnwJxICRYGfdkTZCYHpxAEUAX+kgxYAVV3SAUGz4U+10eOuwaptB1r3cEhQU7wn0EzwswsAqd61710V3bnm91slSbrdVsHTrzwGgC/1FgeA5y7LVgCkA8F7ASDwbzgcPNYH36bfFemVwACYnn6OvTqQX/RhYe9Dj2k/4krLbTQLAJOBoJ3wp9rUIiDHsTI9pTMVbAb4qQ1uzgCYCP7SgUAr4U+10ykQaAX82QWBFat+xtpP/lsTDgVbZ/iO4BgAThQIgGdnJQDuB+BNZRdwPGvR2ZfpL6BM843DAJimgA69vKc7x7Oszz9fdWXSzl8jWmq9gXYDYMeiP2TTg5FCI01IOa9RCDQT/BgAE3v/4jvXiDfQCgAkz5822Q2AZEvpj9aeUGT1NDDtCF79zkXRsg1LJwD4X8oPAPsvjAHgK33EeQD/tZRalW1TwL8BoIb9F8BGWskU13VldnclA6DdPWBC/f5A4SuFu+33z46jbjCh9ORFmu35S1Rz14O+trSN8ZWp8Kd+7jQItAL+qO3N1QPYmPcv0cBsCgTtgD+7vYB+b+w9uO6bgy2/l62GQIoLuGn6g+Wh6so2ym5Ry9ssoMIYAL4qEAD/mZUASHEf6VeNvMDRiYkB0Im9kp5NHdw53vW9xj3rymtNcSitS1YDYI9DPpYbF5HyrGukpqZ4+LMSApvyAloFflrh04XAVDaC2L3+zygAkl7JINBO+LMLAlX4U+vPZgh0uQE6HWTJxHNQs33tuQBetuXBlX6lMQB8va84D+CZS8iqbPMATgdwv4Fdwen3jMESGAANCub07F6v98Hi3fb9T6ej7wAEndOqp81Wwx/ZpAKgap+VIJgM/uyGQDvAT21zNgDgl08sxR+fb8SWvyrg9eeg+7CWOOb6AWjXs2F6P1xTh6l3zse8D9cjUith0Ii2OPPuIShu46+/VeZN24hJt88HXC6cessg7DHq7zuD40HQbACMn/ZNdl9bMR0cD35aW6yGQLO9gAR+2rTtz89Q+sOzm4OVZZ0oNKGe56vD8sQA8M1+4gDw9MXZAoCDNX1FQZ/vBPAAgD8TnAcdWztkY2IAtFF8E6pu4fH6tnQ/6WFPfscBDcVbAIJWA2A8/FkNgU0BINljxXSw6gm0E/yyCQCfOWsWhh7bCV0Hl0Cqi+KT+xdh45JyXPf1YfAFPHJTJ93wOxZO34wLHtkTeUVevHHj73C5XbhhamwKMxyqw3UHfIVzHx4q//+lq+bhvh9HwZMbvwkwphyBoFPgT+1LMyGwMfij+q0GQKrTDAiMBz9VW6kujGUvnSEFy7aOBTDFhPeA2UXKALj1LXEA2GZc1gAgvW1prV8ytlK/400gZo/S5la+2+2+objr4Du7nvhI4sFnEghaDX/Ur8kAkL4z2xOoB/7UsWcFBI4pqXbEUM8GD2C8kJXbQrhp6Oe4fPIB6LlvawTLw7hp6Ge48Im9sNfR5MABNi6vwI2HfI0bPzwYPYe1RLAijFtGTsctn42Qv7/jyG9w21eHIq/Am7CfAi5gWlm+aX2o1/MXb4BoCGwK/LT1Ww2BIgEwGfhp27d17rvYMffN5dXlO3qb1vHmFRwDwHf6C/MAtjl1EVmbDVPAdO6v3mTrMXBkJHsA9XaV8/N5fIHCbR1GXlNU3EtHXC9BMOg0+NN2kxkgaAT+rIDAsS2DKJPiN5fZN1jTgUAr1wDqjf+3dVUl7jr4a1z75aHo0LcIS3/YiqfG/YgnFh6JQHFuvdD/t88XGHV+T4weTyG/gKkPL8bH/1siP2FPvGYA/nFJ4vc8wZ82iQbBVOGPbBIJgEbgj+q2GgCpznQhUA/4qX1dF6rComdPkSK1QToWbI59d2xKNccAcNIAcQA4dmG2ACC1g457C6WkrMUXMQBaLLiJ1Z0UKGk3qdfZb7hdbgPhhdIEQasBsDHPXyJtRUJgKvBnFgQS+GmTUyAwmwBQkqJ44dyfZK/fFe8dJMs994N1ePPqeXh+5bG76H/HUTPRb/82OOXGgfWfV5eHQVCQzPNHGeMBkD4TBYHpwJ/aCBEQaBT+1LqthsBUANAI9MU/nzbOeAzlCz+fFAwGTzXxvWBG0TEAfFcgAJ6cVQBIMZZmAZih/JmdYP2fGf1iuEwGQMOSOfOC/Pz82UV7nrFv273HpWZgCiBoNfxRw4wCoCpGuiCYDvyJhsB4+FPLdwIEZhMA0lq/RTM344opB6GkQ2ynOQHgW1fPw3NxAHj7kTPR/8A2OOWGBgBs6kZMBH/qNelCoAj4SxcCUwU/uwCQ6tULgemAn9q+mm1rsPTV8ySpLtIRwOamxouDvlcAcCCK8g04G5I0oLyqDm1OXkDfZsMUMLXjHACHKH9oSpjW6PyoAcKfnbL5hwHQQXdVGqYMyvHk/tHvgkkuTx7dQ2kkAyBoNQCmCn/pQqAI+BMFgcngj8p3AgCSHVZCYKphYJqaAn735j8wf9pGXD75QLTq2rA+T+8UcFN3YGPwly4EioS/VCEwXfhzKgSKAD/t2Fj7/jXRHSvn/leSpDuaGjMO+j4GgO8NEgeAJ87PJgDUdlUPALQYmICQ/u6snALzHYCj7O5TBkC7e0BA/T6f79niPoeO7zDqWgGlKUU0AYJWwx9ZlS4ApgqCIgGQbEh1Y0hj8Ke2zQkQ6HQAbAz+6LSGKbf8iT8/34jLJh2ANrsV7HJPeaoiuGLwp7jwyb2w11GxTSCb/qrEDQd/Vb8JRM9NqAcAqRyjnkAz4M8IBIoCP62GTpgKFg1+9ffr8u+x6Yu7twaDwQ5O8QrpGL8xAHxfIACekLUAqJWTAvOeB+ByAPRgSd99qqOzGsvCAJimgA64vMDr9W7tdvKj/vwOmtAvogxLAoJWA6Ao+DMKgaLhT63fKATqgT+nQGAmA+DkG3/H3KnrcP4L+6Jtjwb48xd5kevPAQV+fvW63/Dn9M04l8LAFHrxxk2xcF60C1hP0gt/2rL0gKCZ8KcHAs2AP6rXagCkOtWpYLPAT9WTAkMvfeE0KVheehyAWGR756cYAE4VCIDHZSUAdgVwqOL5I+8fnQFN6wG/BfCN8retvc0AaKv8Qio/v7hD72e7nfas2+UysTs1IGg1/JFKogGQymxqXaBZ8GcEAo2AX6YD4Onz/gIGG4miALjKKzGxpMTQjdSYB/DKrlMTljXuoaEYdVrMNgoE/fbt8zFn6jqEQ7FA0GdRIOi2DYGgkxmUCvypZTUGgVbAH9mRaFOIWeCn1dBqCCQANBv+1PZtnvUKyn+b/HVVVdVIQwPZvswxAPxwd3FTwMdSnOSsWQP4ogJ+LQH8AICmewn4aO1fxL5u+3vNJhKDk5qZvbYUFBQsLN73gv6th+y6K9HMFnu6Wht2xAz40+qTCATNhj89EJgK/GUCBMqglywZAECCv2QpGRQ2tfavsfsmlWPf4stLBwCprEQQaBX8qW3RQqAV8Ef1WgWALg3D162y5vVYW7EVS14YJ9XV1dF6Mdtjw+l4d8QA8OPB4gDwaNmLni2bQMhdsgbAkxTnHcA8JTi0DmmtzWLNCLe2Tc2ptqE+n29O7wve8+TkBixpt6eHBv4s+C1jNvypomkh0Cr4awwC04E/J0AgTQM3CnomA2Cy4p8qSm2TlBPgT22TFgKthj8tBFoFf2qdZkGgFvq048YqAJQB96ObsX3Zj3dIknSLJQ/y9CqJAeAnAgHwqKwCwH6aaV/a/EE/K75XvIAzAfwKSw9qTd7ZDIDp3Qi2Xu31eh8t6XvoFR1HX2+ZHbsAYD09mVe9VQCotqBtwTLzGtNIydo1gSLgj6qyY0PI8b+viLUykqKXWJAHMKnU/obgzU/lxkK76EnpAmC6nr94GwkC7YI/j7tWNmfdzmF6pBOWRzQAJgM/1WArAXDn0m+x5av7NlZXV9POohRvHmFSN1WQDIClnw4R5gFsfeTvVGe2eADj9aPF+QSCtB6QAorSg4eA8OimhDb7ewZAsxU2r/wcv9+/teORt7co7L63ebVoSk4If9qaBXsErYY/akqnwmUI2/j4PaYodt6sqGQVBNaDn2p4BgCgVuPGYNBp8Ed2+92xR/enZYnPFxY1fuLLUeHPDgCU6/xG30abxtrfFPhpr7UKAqVILRY9c6IUrqmiY5woiLCTUwwAPxcIgEdkNQBSX7ZXvIIEgafxLmAnD+/MsG2kv7DlF33Om2Ts5I802tYkANa//NOoRHOp1QBI8KdNVoPgScVe1EbF06dZEPg36Ivv9lQg0EwPoMb7l2yEJgJBpwGgCn9WAqAW/LTaWe0FTAcCjYCf2karAJDq2/jVw9i5aNqzoVDoIjFPUNNKiQHgtD3EeQBH/0bGZpMHsK0G+GgHcB8A5DqnY//UE0JoY4itiT2AtsqfeuV5eXlvFg04alz7Qy5NvRCDV+oGQAEgaDX8kcnxAEifWQWBBH9qcjIENgl92jGVgQCoNV+FwXQAUPTUrxb+VFvN9gImgz+1fqsh0KgXMBXw044DqyCwcu1vWPvBdRWhUKiVU48OU3SJAeCXQ8UB4CjaJ2EIAGmq/D4A/6ATFQEsV07g+EWxkdjmNgAXAKAwAbQb92IA2l/5tEv3cQDHKGvypgC4AoB2d9lgZTMHTbNtVfLf38Srk86166vs+KWdv7Tuj6CPbKBj4hyTGAAd0xWGDAl4vd5t3cc+7g+0o3FmfjIMf7uAgHH7rAbARPCnWm02BGrhzywITNcLaAj86n8ApODNtNkDGD9Soy1K8EZNbM2b0WQF/JkJgU2Bn10ASPXqgcB0wU9tn1UAGI1KWPbCOKm6bAuFdPjE6HizMH8MAL8SCIAjDQFgC2VnLUHV0wqY9QZA4QXUEAN0KgItjj8bAC1MppNWdgdA6/FUCPsMAAXgvhAA/QJ/WQnVcroGdJcC+ArAPcr1LwG4EsBzjehNeck2WudHx8A5NjEAOrZrGjXs1MLWXd7c7axXzI39pzEhLQA0CINWwx+Z1xgAmgmCieDPSRCYEvhlCQAS/GmTURAUCYCJPH/xTwiRnkC98GcXBDYGgKLAz2oApPo2fvccKv6c+l51dfVJDn41xQDw6z1RVJD+YRbllXVofThtjNXtAbwXwAHKhopEMhHXbADwEIAHlQw0vUznLRMQvg2gPwDy1JFnT/UaHkHLapXj2uh68hjepazfU38FUt3HA6Cdvk2lQQDkCNcJEpXxQVMFmP09A6DZCptQfkFBwbSCIWNHtdv3LBNKT1ykMACsh4PE9TgV/syCwMYAkOoUPR2s1xOYFvhpu9bEaeDG4gD+bXTpWP8Xf008AKrf6wFBq+FPtU0EBBqFP6rb6mlguU7NhhDR0Bc/FqzyAga3rsRfb4wPRyIRmgausOwBb6yiGABOHyYOAA+bSxbQObnaNocA0J/4ROD2hZKfdteuB/AUgOeVjBRPkTyBQwHIiwuVRGvu6P80zXuuAojkTVQT7cAj7+ApAN4H8CoAaivBmppoE8d0ADR9vKMJ2QgiCVRXxuUjuKeyGw4ZN6a/sNwMgMKktKyg1m63e1Ofs1/L8ZV0tKRS4fCntTpu57DVAKjH85dIZBHTwk3Bn1qvSAjUA4DC4I8akIUAqPZLMhC0C/5Uu1KFwFTAT3tv2AGB639Kf1ewnoeoVQBItqx8/XypbNNf5yiQoMc8q/PEAHAGAWD6UQvKKyNofagMgPGJ1vDdmuBzdQr3YQCTAewD4FFlKpfAan9lvR29IDdqrp+khNg5FcANAP6lrNXTVrEFwH+VqeVpCrzRFLGaaAp5gTKVvKgJ4cl+8tKQPZuUvFQ3TSOTJ5JstzUxANoqf0qVX9Siy6Anu57yuGXxH0wFQFWCiDnHvTWlcKoASOWmA4F64c9KCBQKfvX9at46QDM9gMm8f/HjKREEigJAPdO+icZ3KgCYLvypdlgFgfm5pXKVS787salbXMj3VgLgljlvo/zXN76trKwk75YTUwwAZwoEwBGGPIA0HUvTtgRWanpMmc4d3ggAEnDVKWFYkgEgbfS4GcAzdPBOAgAcqEzr0hTyYh2dQ5tMyGtIv1RoivkFBQppw4ntiQHQ9i4wZkBBQcE3RcPOOrjNsLHGLkwjtyUASPvkD3oPEakhUG8aJuu6NB3401ZgFASNwp/ZEGgK+GkFMuoF1LERxBD8kS0Gp4D1AqDaTBUE7YY/1R69ECgK/KwCQBX81PqsAkCqzyoIDO3cgCUvnVUnSRJNM5brephZm0kBwL3EeQBHyMvw9IaBoePyvgRwvqbZtF7vJlrOTUfHO2QKWDXvdcVLSbbRBpPEB45b24dybQyANoieRpWFOTk5O3r/c2KOrwUtlzA/WQl/uzCDBSAoCgDJbr0QmCr8iYZAmgo2HfxUo+0GQJPhr37clpXjfb/mMNkUb89UPX/x1TUFgaLhz0wIjAc/bVutgkCrAJDatuK1c6XyzSspYLDt04QJhnEMAL/dWxwAHkzRUnQD4JsAusRtAnkEwL6K90/dBEIbQGgjCCWymaZ34zeB7AVAnX8eDeDzBJtA2mnC8twNgNzOyTaB0A7u+EQ7jMk+8ih+qPlS++8UnxbpXcYAmJ5+Vl99UmGbbpN6nDUxu6Z/Fe9fIjHN8giKhD/V7qYgMF34EwmBh85eCvjS38Gn6wZwEAB+N2c7Hnp+FeYtqMDGLSFMfnoPHDeKYrbGUjQaxW3PrsdLr63AzrIwhu/TCo8/OAy9exbW55n9cykuv/pXlJXV4vqrB+CcM3sAZQ2OmnQgUBT8qcYmgkCzwM8MAGwM/NT6rAJAqs8qCNz0/Qso+/29ScFgkNaMOS0pALiPQACk+Mi6AZB27v6orNWjdX20BpA2gIwH8IYiFoWBuU5Z50ebMCgMDMX0iw8DQ3BHgbfVMDDkilTDwJBHcokCbhRzkHb10vq9CY2EgZF0dhatjbHoAZzcIgZAnb3lhGxy8OdBx49rfxCNc/OTVd4/aglN/zaVRMGgGfCntT0ZCIoCQKornY0hMvypyQoIdBAAfv7NVvw4dyeGDizCqZf+/jcAfODVjbj/0cV4/ol90KN7Pm69ez7mLyrD7z8eAb8/9rweMvxz3Hr9ILRv78e5l8zBtKkj0KVg191MqUCgaPhLBIFmw58oCNQDftp7zioItAoAqzYswKop/xcKh4IFSkDhph6PVn4fA8DvBALgQYYAkNpK5+hSvD2K/0eARxtC1F3A9L0aCJpelhTPiWLyXULLRjVC0RT7E3GBoP8dFwh6iJKHoJMWntKaPoLBrEgMgJnTjTleX6Cy2/H3+vM7UTxL85NVAKgH/rStTRcEzQZAsjUeAkXCn6pFKhC4C/w5FQJFrgFsZPo3t9e0XQCQvH/dDvwOV1zSB1ddFpvhKSuvRZd+H+KFJ/bB2BO7yp/1HvIxpn04Am1b+zHq2Bl48b6B6N+b3tO7JiMQaBb8aSHQKvijOlPZDGIU+rIZAKNSHZY8d7JUU7mTNhB8a/7T3lANMQD8fl9xHsADfyID9K4BNGQsZ06uAANg5oyOA32B4m/6jp/ivLN/09TQKACq1aUCglbAn1YOAkEz4C8VCEwIf1SQ07yANgHgX2Ue9B/2KebMHIUhuzeEBxt5zAwMHlSCh++hsGLAy6+vwBXX/IpIJIrxZ3TBo7fSrFLy1BQImg1/BS4X3isPp3mXGr9cLwSmA36qVVZ5AKk+q7yAG758ANsXTHskEolcZVx9U6+IAeAP+4kDwANmZwsA0rpNCjStJ9E6RvpVSUfE2ZIYAG2R3XilHo/nwZb9R/6nwyha2mB+ssr7Ry1JFQBTAUGrAfDUolwEkUIoFANd3JQnMCn4aeswGwKNTAPbBIA/LotgxD+mY9WCY9ChfV69Oqef+yNcLhfeeJEiTMRSVVUEtWEJLVz6jvZMBoFWwJ9qs9MgUAT4aYewVRBoFQDuXPY9tkx/qLS6YmcbA48DK7LGAPDH4eIAcP9Z2QKA5K2l/qJj5WiTR3yoGPJyUnDoMwGMAnBe3MYQK/qvvg4GQEvlTr2yQGHLzW1GXNG2pLc1gU+tAsB04U+raFMeQavhj2wjAFSTmSCYDAJ1wZ9qoJkQ6HAApLAvs+aUJgTAcef8iJwcF15/oQEAZck0Gz/03NnxEGgm/JHXL1GyGgITeQFFg5/azmwDwLraIBY8dVxUioQp5hxtRnBKUgBwf4EASHs6smYKmHYCXw7gMPqtqBxBR78UaVqhvbKWcKKybpF2JtuWGABtk95Qxb3dOZ4lAy7+0JWT2+CZMFSCwcyZCIBqE5OBoNUAqIU/OyDQEPyRgWYCIJUvEAJ1xQFsIvyLdg0gAeCKVZW6poBTgT+1/1UItAP+yAarAZDqVCHQLPCzGgCpPqu8gOum3hAtXTaLpn0eMPgINzN7DABnHyAOAPeTZ0GzbQ1gawAHAugGgF7ctIlknvJH725hM/uR4wCaqq64wi9p1WPYE52Pf9ASYLcK/kgekR7ARHKrMGg1/JEtiQCQPrfCE2gY/lTxzIRAhwLgsWP7yK2nTSDdB36EKy/tiwmX9pU/Ky8Po3O/qbtsAkkHAOlagkAzADCZ1y/+vrAaAgkAzYY/qyHQKgDcOu99lP361q+VO7YOE/c6SbskBQAPFAiAtEk36wAwbaHNLsASoDC7EdlefkGLdjMKBhw9ot2+tGzA/GQVAJoNf1ql2uVT8HjrUjL401pgFggeMCvN2SKzINABAFhZFcHy1dVyN+xz7Gw8cENfHDK6K1q0yEXXzvl48H+L8MD/FuOFJ/fBbt1iYWD+XLhrGBijU7/aPndtoJOmgE97xXYUi0p64Y/qswoA23oaXi9LysW2N5lu2TYNHCxdiWWvXyRJkVryINERaE5IMQD8SSAA7ssAaEfHMgDaobqxOl25/kBV1xPuzcvv0LzDvxiTrSF3t8I19f+pkczdkEEV6YE/1SDRELj/zIVy0a6L5issAAAgAElEQVR0IC6daxvrJAcA4Dezt2PUmfKxU7uks07rLkMfeQFvv3cBXnyVAkHXYv99W+OxB4ahTy8lELTBdX+J4E/9TBQEGoE/tW6zIFALfdq2ZxsAUtus8ALSeFz89AlSqLqMFn/btls07naJAeCcg8R5APf5jqrItingVF9Zll3HAGiZ1ClXNDDHm/vnwMs+drlzKFh5Q4qasIogG71/WgBU1TMTBI0AoEgQVOFPLTOjIbCRncAi1v+pGhk681cg/ImAwFTAzywATAZ+2QyBVgAg6bf+09uwdeFMOuf2rpTfImIvjAHgzweLA8C95VCHDIBi+6nJ0hgAm5TI9gyXtuq51+NdTnig0b4SBYPZBoCJ4E/bo6JBMBX4EwGB8fDnWAhsxAvo6k6B+ZW0oyLpjRetajh1w9VZc432Cp3n/1oBgOq0b7IGpeIJTAf+REKgHvBT62MvYGrvEloHWPHrm/PKd5TumVoJwq+KAeAvh4gDwL2+yRYAJG0azoUULr3YAhkAxeopvLT8/PwPi4aedky7/Yyt/0sFCK2CPxLJqvV/TQGg2mGiQDAdAEwHBJMBIJXpKE+gAoC7wF6iu0YnACa74Vy9KNpC48kJ8KdaqBcCRYDf/7N3H2BSFGkfwP+bIzkJiIBgIomYcz4VI+bsmQOGO9N53pnvM5yeeoqo6AkmTjFhFrOeOaCCiCQJCkhmA5t39nvenm6obWamq7qrqnt6q5+HR2S7K7zV0/Pbqq4qNip+h4JF4KcbgJRfnN4FrFu5AHOeOq+5uamxNCLvASYB+K1EAG4fGwA2A+gJgJZ3eR/A0QDWej2Lwvq5AWBYkefL13r/r++oO0rKetM+1P4PHhDqAqAu/FG0eAEoA4Iy8OcHgZnw56TnG4Ey3we016bL6U1bc3ocAQDYUtN6X97cYZumzIwbgD6Hfr16/tyF8kKgbPxR/qIA9AM/tp5x6wXUMQxsvQf40KhE/brIvAdoA3AfeT2A239It0kchoArAOwCYCYAekmrB4DkzK8IHgaAEWwUpkiD8wqKpg+++NWN3v8LUux0GIwbAEXx546paK+gTABSWXgmiPDgL1QEpliQWDcAnfqzEOTGH13sA4Ci+KNs0gFQBfzYe50HgUHh5+QXNwBSvXQgcPEbN7es+OmD6yLyHmASgFP3Rft2+UG+iqxrK6ua0HXEB3EB4Av2Th8EwL0B0ArX6WZv00LRoR4GgKGG3zPz0V0H7Hj/pqP+qbSdCIS68Ec11tUDGBSATuvwQFA2/tg7Ix0ERfCnFYFpdqFYXwbNPYCpPmU5e3P2qGvCn1NGNwJV44/yzQRAWfDTDUDKT9UwcF5Z6+3/GmaoX5x/5XeTUfHVY59VVVXRNmJhHzYA95MIQBotjUUPIN0MZwAYAOAKAI8ASK47tfHx57AbUikswq5ctudfXl4+uXzb44/cZNfTlFelcPCGe7R5nboHmi78UcBkAdALgirx5+TtRqAf/AVCIMdQcOPXyZGOgp26Z7xfw+oBdAqVO7T3+vK1dKbdmdIcmvHnRqAO/Dl5sgiUjT53dLOxF9CNPrZOOgBI6wHOe+q8xqamJnoPsPU7Dsq/HTbKIAnA7yQCcLvYAJANFnVrjjLvAOq/QWORY1lZ2dIeh9ywSft+OyqvDwtAd2YyQagLgLLxx8bE3SOoA4AsBIPgTxUCHfzxAJDO8USgz3cA3e//pfrgsAB0fp4SgoIA9DPsm/KDXZCLj/v1Uf6Zd2fwievdSVUFyAYAZgKfOy46ANiSaMaMMYe1NDXUbQtguqq24UzXAuCK7/eX1gPYbfh7lHUc3gFMF0Kns039QrScjWg9hwXONafqjQB1TaweMnoy8kvoc6H2yARANuegGIwDAJ14EAR14s/Jd7sPZ0i5GXxNDHH1BLLwYwulsheQXQbGHQgvAKbCX0oEhog/pzy6ENg1N9fKcnK1no0mdAGQ6sQ7DCwCvjAASHkueu6yxOqF084GMEHKA8B/IkkA/nCAPABu+25cAXg6gKsAbGGHe7a9r/OT/sMv70oDQHmxlJ3S/qUde0zZ8pxn8mQnnCo9XgC6rxUBoS78URlV9gCyMTihXSHqWvT9Urf93A1b2iV+qw58awgj0AZgOvg5BcpGALaCoAAApfT8FSQRxh6qAejAz8lTFwApP10ITAfAIOBL9aHT0Qu45IMxWDPtlbGNjY2jA3/wgyWQBOA0AmDrzQn8JFtZ1Yhuw2IJwMsB3AJgjL2LC3mL3uGk9qOFve/xEy+Z1xgAyoym3LSu7rbN3rf3PvRG5W3kF3+pqpsJhLoAqBN/bAx0QJAFIOUdBgIbp63mutMzIdBzCJhySDMM7LcHMFPvn1Ohxkk/Wn/NP4lG2rwPVfhzclaBQDf82FrqQmAYAJSNPjZuOgC4esbbWPPJmGlVVVV8N6f37ev3DBuAB0oE4DtUlrgNAc8HcAOAJ1yBpkkiNwLo77cBZF2nHBeyCtrW0qEJIO2Gn3Ck6ALQfuIkE4Du/B0Q6sIf5R8WAFVj0I0/Jz+dCGyelVzTNFHvvQ9h4F7AFAD0iz8qswgAndhmgmBg/KXo9XN/fmQCMBP8nHx1AZDyU43A0sKVVrWmf0GjcGoPHQCkBaHnPnVuFCaCJAE4XSIAh8YSgDRdnJYbmOu6+2g4mN7jLFZ7V3qnbgDoHaNQzigrK1vc4+Dre7Xvv5Py/FUC0Cn80F2eRE1DV+V10YU/qggN/3odsnoF0+GPzT8oBL2Ggx38rYenBwKjBEA/+MuEQB34c/IPikAe+LH3kS4EygagAz73ZzIuAKSJID8/cGhTfX39cAByXgT2eoCl/nkSgD8eJK8HcMgUyiluPYA0nDARwK2uMNLw7wkAhvoLv7yrDADlxVJmSvRBWDvkosnIL43OBJAgFSQAug8VINQFQB78sfUNCkEeAFJ+KhDohh8vAOm8QMPAEnsAvQDoDP2mu8fZnkCd+KPy+AGgKPqyFYDp0MfWJy4ApDoteu7SxOqF089MMawY5PEsem0SgDMkAnBwLAF4DIBnAdALjp8CoJfF9wCwP4DjAbwkGnjZ5xsAyo6onPT2Le3Y/Z0tz3k20hNARKqaCoAqQBhVADp19QNBXvyx8QwCQbYnMB3+eBEYqBfQJwAfenM17p68CsvWNmFYvyLce9sw7Lht8hepWb+sw3l/nYFFi+tw7kmb4trRm1v/7gVAOocQGAh/HEO+6T5TvAgMAj8nb109gFZ7VG4m8hgBD/jcCeoAIOWpYxiYJoKs+n7ymObm5kuEAif35CQAfzpYXg/goLeohHHrAaQ6bQ+AFnzexl515ScA/wLwndwm8ZeaAaC/uKm+6spu2+z1z96H3qSlfXQNAYsGTbSHUBf+qB6iPYDuuotA0A8AKb8gCLSuX1DF1WRe7wP67gUUAKCz/Mtzn1Tg7PuW4P7ze2KnLUtw/2ur8OKX1fjx7d3RvUshDjnjWxz1h+4WCEdfPxN3/30r7DD3N656NjckUHxg6n2FPRMIgD8n7UwIlAE/tg66EOgFQD/gS9UWOhCoA4CrZ0zB2k/Hfl9ZWbmd5z2n7oQkAGdKBOA2sQWgulaQkLIWYEgoZ5tKori4+KkO2x1/Ss/dqadf7aEDf1QDnh7ATDXlwaAuAAbFH1tPLwj6xR+bhx8I5vZth6aPlnDdfFEC4J5/+QXbDyzBvef2tMqeSLRg4OhfcNFpfXD1+f2xy6gvcP+N22D4oHY44ZJpOLN3Ew7eyvtdbMKfcwghUAL8MgFQNvycvMICoCzwuW/cuACwZvlcLHhmdE1DQ0O5PaTI9RmVfFISgD+PlNcDuPUbVMQ49gDSKN5Rdg8gDQFTD+ArtIW05DbxlZwBoK+wqb2oQ4cOP3Tc4+JhnbY5QG1GAHQAMCj+UgUhFQizEYBO3dJBUAYALQgJrBlI+HMO1QjMuByMYA9gQ2MLOp00E/+9alMcsTN9RyVn/p519Y9YW9mEFx8ajjc/XIFT/zQdtfUJjNy3K57aKw95uZkfgyz+hBAoEX9uBKqCn24AUn6/1tHuZmqPuACwuaEW0+8bScGi/RaTey/qP5IAnCURgFvFEoADAbwOgIYNZtlDwFvSLQ/gUADz9Ddd6xwNAMNugRT5FxUVVfY97t/tSjfZSnnpshWA7sB0K0q337b8EMrsAUxVOgeDsvDn5MGDQBZ/MhHoaxiYE4DO8O+S1Y3Y/Jw5+PC2fthlqyQqCIDX3DEb//tqDT59YWfr3+rrE6isbkLH92hR/sxHKvw5V6TtCVQAPydPGgZWjT8nL1W9gKUucM+qUbf3uFOXuACQ6jNr3HHNtZUr97YnFnjdwip+bgPwUHk9gFuRk2LXA0iqJWOdQrt62Q3RBcBT9Du5jUAV7cOdpgEgd6i0ndgZwKqhl7yKvCLq5Vd7xAWAA0tq1weqIqFuZw7V+GNbe/CcBUoaPxMEUwGQCsHTE+h3KFikFzDVOoDpAOjM/L3m9tn45Ju1+OT5DUsq8Uz6yIS/tAhUgL+W5Rvubcp35i5bK7kv3InKAqAbfO58DADFmvPXF69IrPpl6jkAxotdKe3sJABnHyYPgFu+FkcArgOwS4q9m2khb5oVrP4L3qPJDQClfSakJbRzcXmnz7a+4MWN94aSlsWGhOIIQHeYZIJQFwAHffHz+mrkdPF+R0301kiFwHT4c9IOisB0vYCyAOgeAnYAyA4BU11k4W8jBErGnxt+Tn5RB6AX+MIAIOUZl17AJe/dg+XfvXI7gL+Kfu4lnZ8E4JzD5QFwi1fjCEDq9TsMwGeuuNN2cFRh6uwJ9TAADDX8KTM/rUu/bSf0OfZeA0CBtmF7AL0u8wtCXfij8rMAdOqjEoJe+FOJQFkApDLSJJAdBpbg3/ftYBWZJoEM2Ot/uNCeBMIDQJ6eP/Yes4aCJeIvHfzYPKOGQFH0hYHAuABw+TeTUPXtU29WVVVZLwOGcCQBOFciAAfGEoC0BdwIAGcD+MpuJ3oP5REA3wL4Ywht1ypLA8CwW2Dj/G/pvu2hf+914JXKSxaX3j8KlAgA3YHlBaEuAKbCH1tm6RDME3sMBOkJFO4FdL0H6B4CdoZ/nfg4y8CM/b9B2HFYe9w/YRGef3MZpk/ZDT26Fnn2/onir3C75O42uT2DT2TggZ9Tz7ABGBR8BoD+H+8V8z7Hyndvm19VVZVcxFL/kQTgvCPk9QAOoImxsXsHsCOAxwEcTgMPdjPl27OACX8V+puudY5iT/6wS9sG8i8vL3+53YiTj+ix00nKaxsXAAbBnwgGowJAp8yyINjSexMryZzfl3Hfc14IzPQ+YCoEpu0FZACY6f0/tuAPfd+Mux9diN9X1GPbbdrhnuu2xk7DO0jFnwM/Nl+/CBSBn24AUn70LqBs8BkAcn/UNjqxbvWvmPP4mU3Nzc1F9mQC/4n5uzIJwF+OlAfAzV+OIwCd6NJsYHYhaPfewP5aQcJVBoASgigzifbt28/pvO9VAztuQTvGqD0MAL3j6/QO6sIflcirB9Bd6iAQdPC3HpUaEKgagOm2fcv07p9Iz18q/FH8RAHoB35s26vsBWyXs+Gr4YV1Dd4flIBnmIkg/AFsaW7CtH8fhJZEoh+AhfxXSjszCcD5R8kDYP/JcQNgAQB6kZveAZwpLfKSEzIAlBzQgMnl5Ofn1w44dVxRSdf+AZPyvtwA0DtGzhlHldPnGahTN8HYSl8Uf0Ew6MafLgSqBKBK/KWDH9sGPAgMCj8nP9kAZNHH1skAkP85oWM3ECrN3AmnNVev/O0QAO/wl07amTYAR0kEoLUtbtwWgl4MgBbzNQCUduvFOyF6Z2DN0EteQ15RmfKaGgDyh9gBoPsK2SAMCsD1iOOYOZwOgKIQzDQcnG4oOB0CW5YLvBbTkID7HcBUAJTR88eDP4pbOgDKQh97/wUFYDrwue/xuACQ6hWXiSC/vXhFYuUvU2lywQT+p5i0MzcAsH3yF+MgR2VlI7r1FwLgjQBucOVJCy076yPRsgm03+6JAGiYfAqAiwCw77jQJtQPAtgXQLX9rh7Nqm5i0t0HwN0ABtuLN/9DMN7XAqCFn2nJHjbdIOGSeq3pAZQazsCJDcovLP5x8CVv5OQwQzCBU02RgA78UbYqdgFxV0fmO4DpYp0OgOz5MjAoC4BeEPTCn2oEtgJgQfDHUMva5DClCAB5h3158efEjEWgCvj5RSAv+FJ9BuKCwLgAcMmU27B8+tt/A3Criu8HjzSTAFxwDNrLAmC/FyhL3h5AAuCxdu+aU1QC1kr7fwh2tNOGM9FijP2uJC2/Qgdtz/Y9gN8BXAWA9o2kGbs0O5fQRgcNwf0I4CEAjwLYH8C9droESp6DVEvXETCnA6B1AdnjaJ5EVJ4T/MmrsnRtL+39y7v0njLwzKfoBlV66ACgDvxRkKICQHeDiYJQNv7Y8rjfE+QFoJMGzwQR0Z7Agt17KLnHc/p0W59uut4/HvyJwq9VvAVnVvsNhFcvYBD0sWUyAORvIR3DwEs+egirpj4/trm5eTR/yaSdmQTgQokA7CsMQNpfd3iKGhEiaYu8kwE8b/+cegZpGHZXAF8AoKFzWnm6F9MreAGAOwDQw4N+m6S/EyKHMHk8A4BG6Q7mjKTXQt1ncqaj7DQDQGWh9ZXwqV36bfu4jjUA4wLAqOIvVet7gVAlANdDrksxRPEnA4HsULAq+LUCWJ9uaWf9qsRfbhcacQKcHklfTwGBi9wAlAU+dxEMAPkbRQcA7bUA36iqqiKk6D4sAC6XCMDu4gCknjt6X6QOwOf2otiLAOwH4D0AnQCsZQJDk2WoB+8eADcDOMIFSOrx+8Vet+87AB8DmArgT0waBDZKg5AZi8MAMFrNeHX3wfvd3uuQ65S3iwEgf8PzDP/yp7bhTDcIdQDQyp0mtGze20+RrWu8egMz9QTm7bChd853AQQubPq89dI2Xvjz2+vnwI8tmhYEtgC/7UYrTKg9DAD546sDgGtmvofVnz08t2rNii34SybtTAuAv0sE4CZJAG4KoIopZT1t3Z2i1NSDR9uo0Xt/NHxL7wPSA41662jNPep5S/4mtuGghZg/APAXAOMA9AVwEPNzWsiThmhpce03AdBG4ZTObcw59DPatJjObb0/o7TQ6k1IOTT0Vie7c8vNzb2363ajLuu178XKK2IAyB9iVQBkS7D55xu2fuMvmY8z7dnM66/0CUFRBOqGHxsZB4Eq8JcKfk7eSgCYYha6ASD/50DHO4BUGtUIrFr0PRa/cWNFXXUFDUnqPiwALll4tLR3AHv1fTFVHW4CQO/7eR0UA+rhu9yGWSoAfm33DF7jAUDC5VtpAEi9rTR0XGL3PHqVK/I/NwCMUBO169Tzg/Khh+9jFoHmb5RsGgLOVKv+79A7whuOHDfU+EOS+cxM6QpikBeBYeLPCQYhMB0A/fT6ZYKfdAB6LD0UFwBS3Mx6gHwfdFoMevbjZ7ckmhvpfXHFi1NtVCYLgIsXyANg734WAHl7AFMFiYD3rr0sjhkC5ruNYADIGSgdp7Xv1GNmx13P2rrz4D8ks1P0sdbR+0fF1zEJJK4AdN9v0kDIA0uJEGxZ5+yApOMTlDmP+o+WbnSCCP540OfOwFcvoODnXgcAqV5mGJj/HlbdA9jcUIPp91mv/3UBsJq/ZFLOtAD4m0QAbpoEIO8sYHclaDiY3v+j3kLaeo0mgdBWWta4sr0UCw0XuyeB0PDxcvuc8wDcCaC7PexMk0BoyHcok9lEAJ0FJoFICbbKRAwAVUZXMO3Sdh1X9Tz4753b9dte8EoxLOoAYFzwRw2hYwjY3QOY6QbwjUEe/LEZC0AwVW9glPDnVItFIC/+/MDPyY8LgILgS3Vv6ECgASDfYzm3qAF1U9XPE/jxvkNamhrqCCgz+Eom7SwLgIskAnAzMQDeBeBVe9iXZvLSUDHNCB5k44+WgSG80TIwlQDut2u+m/1fZxmYJQCuBkB7YT5pL/fCLgNDcaUlZB6zJ5fcJ7AMDC2QSEPJNLt4jrTIS07IAFByQIMkl19Y1DDg5LEFJd3U7vFdPLwSiQbak1rdERcARg1/qVqMG4SiAHQy8wHBKOJvPcoq+Xolg8AvIwAlgM99HxgA8j/LRN8DJNCJHjoAOPexk5urVy+l4aL3RcsX8HwLgAskArCfGABpOZa97N5P6u37BACtiTjPrpezEDT1ArILQdO6f85Bk0AIirTYM03+oJ5Dej+QXbCZFommhaAJlr8BuEVwIWgqG6HTADDgDdcWLs8BchKDzpuIwg70C4m6gwAocvjBogEgf4RFev94Uk0LQr8A9AFBzKPnZXSPlgwIlAE/tuZWL6AC9LF5GADy32sEQD+o488BWnoAF0w8t3ntkrnHAHhZpGwSzrUAOF8iAPuLAVBCFbQkQUvO0CxmgmUkD9MDGJ1mob3fqodcPBn5JWqHD0QBKBoiAqMBIH/UZAPQnbMFwqD4YxP16hGMOP6oKqkAKBN+zXM3/JKVy7EtH//dkvrMtg7AbkU1QiH88IuzhM4XPVlHD+Ci5y9LrF4w7XQAT4uWL+D56wHYTsJOIFWVjYgpAGnomdpnLoBvUuwEQrOWQz0MAEMNf6vMqdtv6bDL30ZuXvD9FTNVSzUAKe8RO9HuOd5HfZP/PY/bygQQ7yh6n5Gzi/1awQJ2FMT7uoxnpINgFgCQRaAM+LHgc8fMAFDsPnNmAouiTiSXOABw8ct/TayY8wXtBELblek8LADOWzAKsgA4oJ/QXsA66xokL1p3MN1BYwK0aHWohwFgqOFvlfnA3Lz82cMuf0d5m0QJgCLhd2PRAJA/eusB6L5EFggdDGYJ/hwA+sVfJvCFAUDKM+q9gO1y+e7XhY2Kx8sBxAGAS968pWX5jPdpEgNNitB5WACcM18eALfoH0sA6mwTX3kpx4avUrXNi7YrLGn3zaCLX+F8TPoPUrYC0F3jzQszhyro94iOCSBUJ9VDwJRHWgDKBGGL+i9u/3d96itzCvg/biLoCwOBYQCQF3Ui7WYAyBetJe/cieU/vEHbmtFOGDoPC4CzJQJwy3gDcCCAAfb2crSDCLkrEg9LA0CdH5vMee1Z1rHHB1uc+wxNUVd6tBUAigQxFRZ1AFAH/oQAGASEMQNgEPBlMwBLc9J/LUyuSbUzl8gnzftcA0DvGNEZiz8YgxXfvkATDXS/S2YBcJZEAG4VTwDSGo2TANBsYgIfbdtH+w3TsjJrAFzB19LqzjIAVBdb0ZRHtu/R75XNTx9vAMgZOa8eQM5k0p52Qrl7O8kNp1a3JIImb12vA4DcvX9eNfIaLs5CAFo4tnsBZYIvSgDMBDqvJnf/3ACQL2I6JoEs/eQ/WDN10viGhga1M1o2rrIFwJkSAbhNPAH4hL2w9DkAZgLY1gYg7UFMy8sM5rub1J1lAKgutqIpn9B5s8ETNzthDP+YlGgO9vmmB5AvcJkAyJdC8qxMWMwqALorzYIwS/FHVUosrBZpTl/nyp4I0tK48S8ga/YZ4qtsIhcZAPJFSwcAl335X1R9N/Gl6urqo/lKJe0sC4AzJAJwcDwBSDPuCHs/AKhiAEgz8qYBoB1MQj0MAPnCT6t50zYxnZiFIqnxqBuXFqGkLl7noL/Twpw05k/dvbzH2V0H7jBu01F3GgByRizMHkDOInqe1u2jHzc+p77Z8zqRE6T1AGbKdP7G26yJlDHMc6MAwFSgE42JASB/xOIwCWTFdy+h8qvx71dVVe3PX/OUZ04AcEaKn0xJs+2ZBcAf5x8lbRbwkP6TKXu/W8EFrL6yywl9I+yFoFkA7gCAYktDxKEeBoB84d8KwM/MXoJ01SEAxgHoasOwzk6KtqWhLWhopXGRY3S3rXa7v/cR/6e8TUwPIF+zyOoBzJRbSgDyFS95FgcWDQAzB1QVAJt/3dCzWDC8K2QgL1NNDAD5PzhxAOCq6W+g4vOHv6isrKQ9boMcBMAeAM50JUIvfFInh/uwADhdIgCHxhOAbwD4FsB1dg/gMHv7OtrJhDp6jg3SaDKuVY4NGYWMSBqL7T0Fb7fLQ5tF0yJ2tJbPRbSygP3vHwGYbyNQpOiXdN9mz3/3Ouxm5W1iAMjXLFkBQI6q5JTa2/5t1ZvjbJ+nZHEPINWYB4Es6PxEKX8w7SOv7jAA5I9tLAD441uo/PyhryoqKnbmr3nKMwmAHWnbc850LABOkwjAYfEEIL2T8R6AqbYTXrHf+6MHwe7M1nWcYZd/mnJsyC9yaCnSauvU20dj+nR8BeCfAKj7fbk9FZ/2IFwL4Hx7b0GRwl7WfZu97ul12E3K28QAkK9ZYgdAvmpvOEsEjFkOwMZPJC6QnSbOBoB8N6CZBcwXp9Uz3kbFZ2O/qaio2JHvirRn+QLgdwTAdsE3LaiqasR28QQgBZyGtS+23/+j18YIgw/Qpg8B20zK5cqxIaWU0UjkXAA05Z5+UyoBsBoAdakQAOkdwb1t5ZP4afh3kWCx/9x90N7/6nXojcrbxACQr2XaPAD5wgR4rMfIm0yY5xkA8kXfTALhi5OOSSCrf3oHFZ8+MLWiomJ7vlJlBOCpAJzXmJwTbwVAf9yH1QM4VSIAR8QXgAGbRu3lyrGhtvhaU6fFHOcA2M1+548mhdA07l72ZA+C4bUATgZA54oeV3QfvO+dvUZer7xNDAD5msYAkC9OBoB8cTI9gHxxMj2AfHFaM/M9rP3k/h8qKiqG812REYDUmXGh6wzq5KA/aQFYLqEHsLqqETEGIE0cPRvANvZagLQczPg0cQ3YjOKXK8eGeJEifcWvAB60AUjv/9G7f3QQDGnYlyaA0GQR6i0UPQwABSMW21nAgnHwOn39O4BeJ/r9uekB5IqcASBXmGAAyBcnyQAUfgfw6/lHQhYAd+z/MlU6brOA9wLwKvWWAvjGblXqraVYH27vDMLX2IrOMgAUCywt7LgJ0wNIq3zT8R9b9JfaM6kmiiVrnW2GgBp3S6UAACAASURBVAWDZgDIFzADQO84mSFg7xjRGWYImC9OWTgELAzAryQCcKd4AnA6gM/tnlVnbS/a6GGsPZI4lO9uUneWAaBYbGmaPL3ASW++bgpgmX356QDGAGhnvxe4RCxZ62wzCUQwaAaAfAFTDcDqdxejfGQfvsJE9KzETJq75X00r3K/JuV9jXOG6QHki5XpAeSLk+RJIKmWgWkCsDJFaax3AL+UCMCd4wlA2veXhudnuWJIy8p9b88l4GtsRWcZAIoFtp+9xAsN89KYvnPQpI8FdkNvLZbk+rPNMjCCgTMA5AtYEAAS7niOtgJAnliw57BgNADki54BIF+cVsldBibVQtAEl1TfZxYAv5AIwF3iCcBP7Q0krFWumYOW27kGwC58La3uLANAdbEVTdksBC0YMQNAvoCxAOQFHV/KG87KZgDy9v6JxqTV+cXeW3zndEy/9zRP3mYdQJ4oJc+JxTqA8haC5g9c8kwLgJ/+Iu8dwN03j+U7gCfYS8XdD+ALO8iEvtE2AGlCiHPQ1nDaDwNA7SFPm6HZCk6wLQwAkwFL/FKZMXK1v9NIhNrDANAjvhwAFG0hNxgNAPkjGAcAStwKjj9wDAA/kQjAPeIJwI037G4d6RYAZDD6r/dviKKtxHG+ASBHkDSdckLnzQZP3OyEMWYvYM6AxxmAXqjjDJF1mgFg5mhVvbZhyc6yAdS5oeBQAEB3KRNHp18PuDLh9V3EV2czCYQvTjomgSz78r+o+m7iS9XV1UfzlUraWVYP4P8kAnDPeAJQZDvYhdJaRyAhA0CBYCk+dWT7Hv1e2fz08cp/EzDrAPK1pMx1ADvkpP6o5T9Gr4moPVQCsGQTWhM9eeSNoI1ysu9gAeguvTQQhgxA0VZJB0YDQL5I6gDg0k/+gzVTJ41vaGg4i69U0s6yAPjxL0dIWwZmr81pl7TYLQMjLeCqEjIAVBVZ8XT3LOvY44Mtzn3GAJAzdmH3AKZDHWfxrdN0AJDykYVAFnzuemYjADPhL1U7+gZhlgEw3T38dn39Rj/6vVFO76KTsJkEwvcEWfzBGKz49gXanepyviuknWUB8EOJANzHAFBa44gkZAAoEi21525XWNLum0EXv2KGgDnjLBuAXfJbfxyOKQn2Uj5nNbQgMAgAM6GPrWNbACBbXyEMxhiAvPc5nceDRQNAvogueedOLP/hjZvtfej5LpJzlgXA9yUCcD8DQDktI5iKAaBgwBSePjA3L3/2sMvfUd4mbWkI2I060fbTgUAdvYAiAOQFX6pYZhMClz85d30VSjoVit4aG52fFoQa8EeFyfQOYODK2Qmk6gGUlbaTzmKmR/G3Rno/Xv4Rh0kgS968pWX5jPevBnCX/AhlTNEC4HsSAbi/AaDmJkxmpxwbodQqOzOlHUaWDrv8beTm0TrT6o5sBmD7vA237FZFyjtL0RYAGAR87F1atyK5SHLZQbRGevQPFoBOaWVA0ElrPQg1ADAu+KPYsQAUuYtEsBgHAC5++a+JFXO+oCVFHhKJk4Rz1wOwTMJewOuqGmEAKKFVfCRhAOgjaIouob2Fq4dcPBn5JbQlorojagBkUSdSawNA/mixPYCywEe5O+hjS5INAEyFP7YOMiFYPqyzlXRLs5reLEo7LgD0iz/+T0LyzIlfnYJEffBe33T56pgEsuj5yxKrF0yjXaieFq1/wPMtAL4z7wjIAuCBA8wkkIBt4utyA0BfYVNyUQ6Qkxh03kQUdqDOQHWHDgDusyttj6z2MAAUiC8NqxXI6zFNBb9sQqAXAJ26yICgA0A2PrIxaADI/1kg/IkeoljUAcAFE89tXrtk7jEArFWUNR4WAKfMO1waAA8a8CoVn3o+Mi9qqrGSPrNaY6/rx3N58jfDEA8DwBCD7846v7CoYcDJYwtKum2utFR+AJhTQNtC8h977/A4/8k+zzQAzBC4VDMzJQDQC35OiaLcC/jtRTPWB67PrnwTffxCMBX+UrVaUBAaAPI/RPwAkD/15Jk1n3cTvUT4/LmPndxcvXrpHwC8L3xxsAssAL4lEYAHxweAqbbUSxdt9V+SHu1sABjsgyD16tJ2HVf1PPjvndv1215quu7EHACKok6kUHEBINU5K94D5FmKIwAAeeFH8crJTT5WSg/sLXLLaDmXxZ+TIS8C6XxRCPIC0F15URAaAPLfPloA+K0AABv4y86e+eN9h7Q0NdQNBbDhNxp/SYleZQHwTYkAPCQ+ABSNZajnGwCGGv7Wmbfv1GNmx13P2rrzYPqlzsfB2ZolO6z2kbj4JXFBYCQByAO+VE0miEA/8GOzjRICU+HPDwKda3gw6BeAIiDUgT8qj+4ZwOJPHL4rIgdAvmInz7Kx2NxQg+n3HUr/0gWAngf6hnJaAHxdIgAPjT8AacV89+zO0Ie7Ockgcoeac/1GoF2nnh+UDz18nx47n7QhCUUtpAOBBoD8dwLXUjB+0ccWgxOAIvCj5J1ev1Q1jgICp12Z7CRprMncJiK9gV4QlIU/LwzqAKAO/FE9dUwCyWoA2jdD3apfMfvRs1sSzY20cYC62UWpPy4WAF+VCMDD4wlAmth5B4Djbai7o6l80wevbyBFvPDK1vw8VQRyc3Pv7Tpi1GW99rtYeYAMAPlDHFoPoAzwuavpAUCZ8KOs69Ymuyw6H9efP+CSz3Tw5ySrAoGUtrtHUBUA3eFpPnIHyRHbODkdAIwL/ih6NSJDwD5ar2rh91j88o0VddUVHX1cHvQSC4CvSATgEfEE4AMA9gVwHYAnAdCSPfRezPkArglh9vZG7W4AGPSjIPf6q7sP3u/2Xodep7xdDAD5G04HAItaWtA87hP+QgU504VAUfQ5WWfq9WPxxxZVNwTd+ONFIJ3npzeQhaAuAOYcTK+BbTiaivgmtojcQgaA/NFSjT8qyZoZ72H1xw/PrVqzYgv+kkk70wLgy3PlzQI+cmBsZgGzQV4EgJbp+dCe3TwCAK0+fxoAGuYbKa1FfCakHBo+y9VWLzu1S79tH+9z/L3y1utIE0kDQP5bTBUACX3soRuAfuFHZfaDP7quy5lboaXa51vv/E2Gn6//af3ZDTWpR8i8egKDILBT/3Lkb1YuUGJ/p7rxlyoVGSA0AORvHx0AXP7lJFR99dQbVVVV1ouAmg8LgC/NPUzaMjCjBr5GVYjDMjBsU1QDGAxgIYDfABwN4CsANBwyHYD6B4THjWEAqPmT45Hd/uVdek8ZePZTyt8NiAsAKZ7ZtByMG32hALAoD3XLan3d+V7wo0SdYV93BoQ/9lAFQRZ/Tn5BEOgHggRA51AJQR4AsjH3i0EDQP6Piw4ALnn/Iaz6+vmxzc3NNKyo+7AA+IJEAB4TDIB/BXArgH8D+JMdjGIA/wJwIgDqEp8C4CIAy5hgbQbgQXuYlrBGy7JQWuyaZ/sAuNuG3K8A/gFgAmfApwG4BMBHAN4F8D2AKwFcCoC28At9yyQDQM6W1HTaoPzC4h8HX/ZGTk6O2qbRAUCKWVufCJIJfKnuKaW9gEUbfq/wA8Ag+KO6ugFI/9b85TLkDu4U+OP19fk/rk+jXY+NO9DTAZAu4ukJFEEgiz+2YiogKApAd6B5QWgAyH+LagHg67dh+Q9v/82GD3/h5JxpAfB5iQA81j8AdwQwyR5i/YABIMGOekf/SGUFMIY2zAGwux0CehgSyH4HcBWAngCeAPAIgGvtc6injh4stNXeowD2B3CvnS6B0uv4Mz3iANwH4AAANM5ND6d8AJfbYPVKQ+nP1SpDadFjmTi90Ltm6GWvIa+IJhCpPXQgsK0BUBR87hZWAkAGfmx+vAjkgR+lm67nLxP+3PUXweDKifOsy+d/1Lo3MxUA6TwdCEyHP3c9ZWAwKP5SPV1SgTAu+KP6xmEGMNXjt2evSKycN/Vsgd4omV8m6wFYKmEv4JqqRvgEIHWzT7V79v5ug456AGkoeQWAkwE8b1d8awAzAewK4AsAhwCgcedeTK/gBfasXVrEkd5ToRm8hMghTPCeAUDf0wf7CGhfALTIL70HSL2DoR8GgKE3QasC5OTn59cOOH1cUUlX9bMmDQD5Gz/Te4BB0ceWQioA08DPyY8HgKrwR2Wg3j/3sfR/yzM2SlF7+uW59eEGIP1UJQIp/XQTRHgB6NQgCARVAJCNrIPBuAAwLvijNpo77rTm6pW/EWLe4X+KSTvTAuCzcw6DLACesIX1DiANiVYxpawHQH/SHTRkS2sgUk8bTbSgHj0C4H4A3gNAQwtrmYvpXTzqwbsHwM0AjgAwnPk5fen+AoAma3wH4GMbmM6wMp16pp0GITPrDwPAiDVh+/bt53Te/6qBHbfYQ3nJDAD5Q8wCUCb4UpUgMAI94MfmmQ6BvPCjtDL1/NHP0w39uuvuhT86XyUAKX3e4eBUCBTFH1t/PxBUDUCnfF/ZO7usTKhbbi4uS8DoGP5taW7CtDsPQksi0c+eYMD/IJNzpgXAZyQC8MQkAN3HTQBuTFNkerePhsBpCLjOBUDq+Rtvv/vHXk4TMGiY+C8AxgGgHrmDmBNKAayzZ+e+CWC2nc5tzDk0c/d12ugIQKoXqen9PkqbykR/z3TQ0HCohwFgqOHfOPPy8vKX221/8hGtFoNWVEYDQL7Ads1Lfkz+UOBeyJ3vetGzfAFQAH3u8rgRqBp/lL+f3j+n3G4EpuoBpHP99ALSdSIIpPOd3sAgAHTqxgtBXfijcjkAdN83MkFoAMj/lKBFoOc8emZTc3MzTW6g99p0HxYAJ0oE4MliPYB9AHxDj2QAP9iVZ3sA0wHwa7tnkNbgywRA6ll9Kw0AaUiYtEo7exDy3Md8ALQw5yp6OyVDw9BvU5vrbjh3fgaAYbfAxvnf0n34oX/v9QeaLKT2iAsAKUoyZwI74HNHP5IADAA/p34sAHXgTzYAKT2RYWA6P9P7gH4QOOxk2pFL3uEFQV0ATIe/VDUNAkIDQP57p2LO51j51m3zq6qqwgKEBcCnJQLwlCQAeZeBOQrAS/YECydwzo4oBGLq1aNZt2YI2OO2MgDk/9zpOvO0Lv22naBjLUCqUFwQGBSA6dDHNrouAFpA8loUWgL8nLrVLK5BXqHY0pNew76Udqqh33T4o3/nGQKm83iHgelcv72AIgjcbDdacSJ5dOwnd/JWOghGEYDsZ0UUgwaA/F8v9hqAb1ZVVYW1kLAFwCdmHyrtHcDTt6RRVW4AtrOHb9mg0ZDvz/bEDVquhSaB0GLLL9gnbQlgVopJIDT713nx+DwAdwLobr97SJNAKMbsSusTaWMjzkkg1wO4izaGcbUu9R7SzGN6DzHUwwAw1PCnzHzn4vJOn2190Yti38g+69FWAcgDvlQh1YXAtACUCD8WgPR3XgQGwV86APLiTxYAKR2vXkBeBLIAVIFASpOFYNTxl+pzkwmEOvBHZYrLJJAlU+7B8m9fud1es87nkz/QZRYAH5cIwDPEAJiq8OwQMP2cloEhvNEyMJUA7rcv2s3+r7MMzBJ7Tb5N7O3aaLkXdhkY2kSclpB5zJ5cQu/t0TAwzzIwtAQMC0yn3DRcQOhUvt6vVysbAHpFSP/P6beLVUMvexV5ReoXCm8rAPQLPnfz6wKgBSW2F1Ah/Ng6eiFQBf4of1UApLTT9QLKQKAbf04sZfcEsm1UcB6tZKH+EBn+FS0NC0IdAIwL/ijOvz57RWLVvKnn2BMUREMv43wLgOMlAvBM+QB0FoKmXkB2IWha9885aBIIQZEWe6bJHzSrmN4PZBeCpr18aSHoQfZuHrcILL1Dw9E97N5INu40S/lZALTcTKiHAWCo4U+deVFRUWXf4//drrRn650TVBQ1rgCUBb5UMdeFQAuACuBHdaJh31RHJgAGxZ+F2hRLv8gAIKUhOhnEqb/fnsB0+GPjKhuChScPW598S7nc4Wb3/aASgGxeP9RTR4naI04AnPXAcc21FSv3BvCp2qilTd0C4KOz5A0Bn7OV0BBwSNXmznYNAJrk4bzTyE6fp14/6tmhxaXD2MWlVSUMALnbVN+JHTp0+KHjnhcP6zSIFg9Xe8QFgJ3zcrBNkZZRcz2zgZuSv4Q2P00T1+Qd6eDH5pAKgTz4ozTSvfeXCX+qAUjpB+0FpDTY2cE8+HNiKhOBLACd9FVAUBf+qA4Lm1pPZF3bLH+5mbgAsLmhFtPvsl79o/fU6D23MA4LgI9IBOC58QLgGbRduj1sTGsI0k4kzkELTC8A8HkYDefO0wAwCq3gKkNxcfFTHUYcf0rPPWjNSbWHDgBSDVTsCELoY4+sB6CNPrZOMgHIgz8nbxaBMvCXCYAiw7+UTqpJIPTv6XoAvQBIP+fpBXQQKII/ti2DQjAV/tj0ZUJQFwDd+Ev1tJMBwrgAsGbZXCx4cnRNQ0MD9SLJlzLf140FwHESAXhevADoRJF6aT+j3x35wqr/LANA/THnyfHKbtvs9c/eh9+kpX10IFAGAN3gcwdSFwApX6nDwCngJxuBIvhjEagaf5SXLABmQmCmHkCnvjwI7Dl8w4xfng+y+5wgCPQCoJOXDAhGCYDuGPoBYVwAuHr6FKz9aOz3lZWV2/m5/yRdYwHw4Z8PRYmEreBqqxpx/taxGgJmw0zDUgPtHlv3EBXtNBLqoQUYodYwOzPft7Rj93e2PO9ZLbOEogxAL/SFhUApAPSAn1O3IL2AfuDn5FvaoxgV86u5PkGZhn4pgXTv/ukCIOXjhUAvAHbqt+H5XdyxkCsu6U4ShSAv/tj8/EJQF/6orDw9gF6B9gKhDvxRGXXsArLk3TFY9e3kMc3NzZd4xUXhzy0AjpUIwIviCcBdaPK5vWSN21rUe6vl+z3TfWAAqPBTEiBpenl07ZCLJyO/VP2Wg1ECoCj4shKAnPBj6+YHgUHx5+TvhcAg+IsSAKks6RDI4s+Jiy4E+sFfEAjqAqAM/Lk//6kwqAOAOvBHdV008dLE6gXT6d2gJwJ8vwS91ALgAxIBODqeAKS9iWk7uRtooCPFkD37bmDQNvF1vQGgr7Cpv6isrGxxj5HX92rffyflmYUJwKDgCwuAlK9wL6AP+Dn1EwFgEPhRftTzl+pIBUEv/FE6Mnv/KL107wDSzzK9B0g/9+oFTIXAVPjTicCgABTFYDYDMBUI4wLAlkQzZt49sqmhoWE4AFqfLqzDAuCYmfKGgC/eJpZDwLS0zLYA5obVUF75GgB6RSikn5eXl09ut90JR/bY9VTlJdAJQNngSxUcXe8CcgMwAPzY+vEgUBX+nHK4EegFwEz4ozRF3/9zyuEXgaIAzIQ/WQikdNINCcvEHw8EdeGPyqKiBzDV82DsZ6ds+OccNfMmdPQA1q1YgLnjz21samoqda1Vp/w7wpWBBcD7JALw0ngC8H0A/7T3FdbdRlz5GQByhSmUk67uNmjv23sfdqPyNlINwNzC5CSoI7f7r5ZARgaAkuDHg8Cg8KM80vX8uRvNQaAX/ui6qAGQysSDwLLuYh+7oMPB6RCoCoBOm7rfE9QFwFDw576RJWJQBwBXT38baz4cM62qqop6lcI8LADeM3OktEkgf97mDaoP717AYdZdJO9RAP5hby83PcVs4Gkiiak4V+wpp6IEJs10Edi/tFOPKVue+4yWF0VlItABn7tiugBI+YaGQAXo8wKgTvw5ZcnfpzfXJ1f28K+Tqd8eQB4A5lP/Cg01l4s9HmUgkIWgavyxDUgQ1IU/yjcSAJQIQh0ApAkga757ZWxjY2PYCwhbALz7J3kAvHxQLAHYeoHL5P1GXdD0YDGTQLi+QdruSZ0ArB5yyWTkl0R7Ikg68KVqOl0I1A5AxfBLh8Aw8JfTYcMM2Lzt0u9mpKr3z8JZ+/y0Twav9wDTIdCBH5twmAjUCUCq86KOHbA0oX5XDl34ozq1Gv4V/S7h7CHUgT+rff57WWL1/GlnC2xFJlpj3vMtAP5LIgCviCcAaau5TMdC3oCrOk/sV1xVpTDppoxAWVnZ0h4jb9ikff8dlUdIpAdQBHzugscNgEU5wN7WL3T6DnoXUAb8qMS8w75s7VgAOv+eCoJhAZDK5IVA9zBwKvxZ0BTsBaRrZPQEdv8TvedPDVSi7cYiADqHSgjqAmAg/KWKehoQ6gAgTQCZcfdhLU0NdTT8S8OJYR4WAO+UCMCr4gnAMNuIK2+931xcRTInORGgiSDlw48/cpPdTlMeFC8ABkEfW3hdAKQ8VfYCEvycQzcAUVOHqjFfBr4nZOEvFQK98EfX+J0AYsEsQw8gDwDpHEJgOvixwdWNwPX4cwqhAYEs/tw3lmwMZi0A2cAwGNQBwNoV8zFv/HlRmABCUbAAeMeMkSiWsBB0XVUj/jI4lkPAFCv68r4AQH8Au9LbDwBoe7j5AF4O/BAPmIABYMAAKr58dNeBO96/6dH/VN5ObgDKAl+q+OhCoAoAsvBj66YFgTV1rcIZBIGy8ccWjHoDvQAYBH8yAFhYlgORiR66ELgR/jQgMBP+2HaVAUFd+KNyS+8BTPOwr/m6q/IlfVd+OxkVnz32WVVV1e6Kv3N4krcAeLtEAF4TTwBeCOBmAPcC+BuAIQB+AfBHALRf8L48wVZ5jnJYqCx8G0h7cF5B0fTBl76ak5tXoLa6eUDZzsvU5mGnno0ATAc/bQh04c/J1w8C/eCP8ks19JvqhqmdV7X+n0v6lKW8p8IAIKHPffAi0A8AKS+R4eC0+GMLraA3kBeATjGCQFAXAHXhj2JiAdB9SJ66t/iVm1tW/PjBdQD+T8tDOnMmFgBvkwjAv8YTgD8BuBbAZAD0UKThewIgQfBDACluHL2tawCoN96iueUUFpeu63vMHSVlvemekXikeEDFDYAUraC9gDzwc1pFSS9gGvixd4IIAlXjj8rFApAtJ4tB1QCkfJ33AFPBzykXLwDpfNUI5AIgFUQiAkXxx7anHwjGDYAp8ZfqMR0AhC0tLfj5vlGJ+nUVewH4VOK3gN+kLAD+34/yhoD/NiSWQ8C1ALa2h31ZAG4BgJaA0feCb5qWNgD0+xHQdF1ZWdkr7UeceLiUBaE9HkK6AEihi3IvoAj63LeBVARy4M/JnweBYeKPjVPFonVoSbVAgsBnyusdwLnv1KKkE9/jLQoI5MYfGyMJEAwCQKcovBDUhT8ql64eQG4Asu0miEFaAHrO+POam5saaYGiBoGPiapTLQDeLBGA18cTgNQD+Ff7XT8WgLSPM23nN0JVA/Gmy/eE5E3NnKciAqO7DNjh/j7H3CneVoIPGiq8LgRGEYBB4Ce9F1AAf5S3FwD94o/S5h36pXPT9f65AZjqgyKCQgeABL10R5QASGVMNxzsC39OpQMgUAb+2Nh7QVAXAHXhj+ruC4DuG9bjOb3im5dQ9fXE7yrXrAwdDHbRLQDeJBGAN8QTgOcAuBHAFQD+A4D+f4CNQvr7MyrAIJKmOCpEUjfnyojA4LyCwumDL33N+z1AH+BzFzBuAKT6eQ0Dy4AfG8dAvYCC8GPzTYfAKOGPyks9gF5HU713F+GSqd5r1vEgUKQHkMrtdyg4FQID4Y8NoiAEZeOPB4JxA6AU/KX6ILie44tfvgkrZnz494i8/0cltgB4w3R5Q8A3DY3lEDDFivYhJAQS/OhYbP8/gTD0wwAw9CbwLID1HuBmR99eUr7p0I1PloC+uCMwHQBlw8+Jo28ABsCfk7cbgbrwR/nz9P5FEYBUpjAQKA1/TuMLIFAlAFNhMG74ozoqAyATwJbcyL3/tx6A108/RNoyMDcPfZPSjdtWcK1+RQNQDmC55ze+xhMMADUG229W5Z16fFA+5LB9Ntn1VOXLDVhfhjGbDUx1YhGoCn5s+wohUAL82LwdBGYr/qguOnsA/QCQrgnSE7jZjTv5fRxkvo4Dgbrwxxb0i4bkfuCqD13DvzrwZ/1StWI+5jxxQSLR1EATBqLw/t96AP5NIgD/L54AfB/A0QDWuu576kGlmcH7qf48eKVvAOgVoWj8/KIuA7cf0+e4u7S0ly4AUmh1vguoA37CCJSMPyf/5ud+CHTnirz3Z31RMUu/ZMqYZ/g3DAD6QaBfAG52hT2jv5296XCglkpzcQYI6gbgEmZ7uUVN3kP7QcIRNwCumPoSKr7579TqNSu2DxIXyddaQ8DXTpPXA3jrsFj2ANLNvkmKXr/u9lCw4rXdvFtdCyi8i2HO8IjAFrl5+bMGX/ZyTl6Rwi8NphC6EKgagIXMHT6oKFfrjZaxF1AR/KiCOQ3JjoKml2f6qq8q/FFhdAOQ8uR5D9APAOkaUQSux5/TMpoRqBt/VE0WgE61VUBQF/6oDrp6AH976dqWlbM//wuAO319mNVcZAHwGokAvD1eABxmh/17u5dvNdMM9NLWwQDOB9BPTfPwp2oAyB+rUM8sbdd5WfcDL+vecStaCkr9ke0AZOHnREs3ACnflAjUgD+nzqIIFMUf5cPb+8cLQJ7hXwsWHJNARACoGoEb4U8HAikPpjdQNwBT4Y99esmEoC4A6sJfc0MtZtx/ZEuiqXEbALPUP/W5c1gPwCIJW8HVVzUiZgCknr8WO5qpjEVLF9BSMI9xR1zRiQaAigIrO9n8/Pw7Ow854Mpeh9Avg+oPXQCkmsjsBUwFPzZauhG4EQA14s8PAlUCUGbvX7YBMC3+NCJQN/6sNmKGfzM9tWRAMG4AXDv7Eyx/918ra6rWdlP/xBfKwQLgVT8cAlkAvHPbWA0B96WBGHvXD3rZdwUTXRqeoYkg3ksYCDWJv5MNAP3FLYyr9igq6/DR1he/kJuTq2Dqb4oa6UKgDAB6wc+pnm4AUr4WAhXCj/Jwhn0z3ZhevYEq8UflygYAUjlFZwTTNZmGgj3xpwGBTX16W7ksadb3vcOLP/ae9QtBXfijsurqAVwy5U6s/vHte5qami4P4wsnQ54WAK+UCMC74gXAiDVX+uIYAGZNUyGvoLi0uu9xtxenXA5GQT2yAYC88AuzF7Bjbi62rU6/YHHQWZD/5wAAIABJREFUpuPBn5NHOgT6wR+lKXv4l9KUPQRMafK+B+gXgKkQyA0/9gZQ9E6gA0BdCPSDP/fnQASDugCoC38tiWb8PPYY2v5tXwAfB31GSL7eAuDlEgF4d3wBSOv//YkWorCHhenF7H8DmCe5TXwlZwDoK2zhXFRSUjKx/fCjTuq5z3laCqALgFQZ0V5AP/BzgqarF5Dgxx4qECiCv0wI9ANAEfxR3mH1AIoC0C8C2V5AX/hzGkgyAln8OVmo7gmUAUCnrDwQjBsA1y2egQXPXVXfWF9La8c1aXng82diAfBP38sbAr53eKyGgJ1IHgTgFQA0GYT2cCZv7QZgWwCHA3iHP+RqzjQAVBNXVake065730kDzp6gbTqrLgTyAjAI/NhGUY1AN/4ob9kA9IO/VAj0gz9KRwSAvPijdMPuAfQLQLqOEBgIf5IRmAp/7OdABQRl4o8tazoI6sIflUVXD+DvHz+Kiu9fnFRbW3uCqi+TAOlaALxUIgDviycAvwMwBcA1rljfDuAPZi/gAHdgG720XV5e3potz5mQV9R5Uy0hiAIAZaHPHTAVCEwFPzZfWQgMgj8WgTrwR/llGwD9InCL64cmf8+XcQTsCfTCn1NE2QhUBUCnvG4I6gKgLvxRPX+ZcFaictn8EwE8J+NWkpyGBcBLJALw/ngCsA4Abd81xxX/LQFMo+3BJbeLcHKyHlXCGZsL/EWgvLz8o/Y7n7ZX952O95eAj6vCQqAq+DkhkA1AL/w5+QZFoAz8WWWpT64X2Pz5r8J3hUjvnyoAUrq8S8HQuSLvAYoC0IIfe8h6svpEIC/+2CLLgKBq/LHlJQjqwh/lqwuA9WuXYNYjpzUnEonOACqFP5zqL7AAOPr7g6XNAn5g+FtU6rhtBUcPVprA40Y8fXnfBWAz9U2VOQdZj6mw69GW8r+gU98hD/Q9+f7YDgOrhh97s8hCIC/+giJQGv4YADpl4oWgKP6yFYA8CNwIfk4wZT5ZBRHoB39OsYMiUCcAqczXfnksEvXqN1TQhT+q0/Ivn0HlN09/XF1dvXdEv9gsAF74nTwAPrhdLAF4PYA/A6Ah38/sSSB7AKC13P4F4B9ht6/Mx1TYdWkr+XfNzc39favznswr6tRLS5119QAmGgpwwi5PaKmTk0lQAIrCj62caE+gSvyx5fKCoCgARYZ/qRy87wDSuSp7AL0AmBZ/ISMwCACDQFA3/hwAOmVWCUGdAJz/xDmJiqXzzgSg92HI/+S1AHi+RAA+HE8Akq9oBvAVAJwv6yX2ri73MYtF80de8pkGgJIDqiO5srKyt9tvf8KBPXY/TUd2Vh4qEUjwcw7dAKR8/SIwCP6c+vIiUBf+nHKlQ6Ao/ii9qACQyiJjGNgTfuynUuYTlqMnUAb+/CAwbPy5H4SyMagLgLUrfsG8J85vbGpq6gKgStsDXiyj9QAslLATSENVI2IKQDaq7ez/iVSbynw8id1C5uwgETihXbc+Ezc/+/HcnBw9TagCgCz82GBEHYEy4CcCQKn4o4ztd/94bkA3BFUDUKT3j8ov0gPoB4DWLz/dk58xIfg5wZX98cyAQJn4E0WgbgDS0C/PIQOCuvBH9Vn60ThUTXv5xZqammN46hfSORYAz516MGQB8JERQkPAFwKgP85eujMA3AzAWkvGnlxBQ6w0iabInol7EYBlTLzo/bsHAdA6i9UAHgfwV9eSO/sAuBvAYAD0Ph8N2U7wEfPuALaye/xoSz92ZxAfycm7RPbjSV7JTEqZIlBaUFCwqv8p9xeX9qT7Sv0hE4Dp4BcmAnl7AWXijweBYeKPbQ+CoGr8UX5RBODwMc7e7j4/Z7KfsikQqAJ/bG0zvRuoG39ULl4AOnUIAkFdAGxpSWDOuJMSNWuXHwHgdZ93m47LLACeLRGA/xEDIK2hR1vazLUrewaAqwBsB4AwSLA7FMAfqZwAxgCg/Xl3t8+nrbRobb7f7et62sPtj9CtZZ/TH8CPAB4C8CiA/QHca6dLS7vwHNTrNxbASQCcd/ap3M8CGG2XjScdZefIfjQpK6hJuHUEiouLn+6w7WEn99yP7iM9RxAE8qAvTABS3pkQqAJ+bH1TDQVHBX/ry5loRvVEsT3pVQ7/UrlU9gBue8uGX65yOlFHQoBD9pOWQaBq/Dm1TodA3QAUxR/ban4gqAuA1Yu+x68vXlNVX19Pw7+NAe421ZdaADxr6kgUlgefgNNQ3YjHRrxBZQ4yC3i1jbnn7R62kwHQ3+nYGgDtwLErgC8AHALgNfu9PKdX8AIAdwCgfZdpeQT6OyFyCBPMZwB0BHAwZ4AJeoTSSwB8bvcA0kLQtBMIAZR6KEM9ZD+WQq1MG8v8gOJ2nadsddGkSO8NLAq/MBGYDoCq8efUmUWgdPxRJgJDvxt9lhIb7yHLg8GoAZDqlek9QBZ9bAwiB0AqXLtS6MIfGwsWgrrxR+UIAkCnHrwQ1IU/KtfSd+7G2hlvP1RfX0/Dm1E+LACeOfVQaQAcP8Lq8PQDQOrNO84ewiVsbQLgPQCdAKxlgrjQ7sG7xx4upl7W4czPqcfvF3txZlrAmbbfm2pP4nBOo4k51AtI5eQ51gGg3UA+cZ28JwAa8y7jSUTlOQaAKqOrNu284uLiFb2OvLlT+813VJuTnbpID2AQ+DmVicK7gLrwxyIwcvijwqUAIHvTpcNgtgAwHfyijsCmQVto+ey7MyEEZiv+2Lp4QVAXABNNDZj5wNGJxrp1tEwI9RZF+bABeLhEAL5K9aXdDdhJEvX0a2uaQNDCmxQnWkyZ3uGjHj/qRqT/jrff/WMv/QrAB/YSLOMA9LVx5pxTCoDANtJ+l3C2nc5tTCL0M5IqncuzufsiuxdxuqsO9E4JlVXPbg4Z7iQDwCh/zDzKVlBQcG+nQftd1muke6cZdZXyQqAM+LGl141ApxdQN/ycOnfKyUXfVWvkNmCQnj+nJB4AdE5jISiKP0pD9TuAlIfTA8iDPqkApMQkPXFbtqAOi+TRXJAv937hTO2bxuRC4roOGT1/6cqaCoK68EdlWjvrYyx/+46lNTU1vaOwPIhHm1oAPOPbI6UB8PHtX06V5U0AbkxTlkJ7IWUakqUJM+cAoHUTqVcvFQC/tnsG6csyEwBpeJh651IBkIaEaei4BADt8uF1nGf3Tp5OHbz2ydRDSRNOXgTwsFcCqn8u6XGkupgm/TQR2K6oqOirLUe/kJ9XpKc3OR0AZcPPqa9uAFK+u5WE84VK+HMOaQjUiD/3Pbr4dhpBETtUA3CXB7YBWlrECsWcHXgomNIK+NRl8ecUTTcCVzC/ECxs3vj1AN8BznChSgCy2ToY1AnA316+Dqtnf3ZLIpGgxYOjflgAPP2bUdIA+MQOL1GdRXoA3TF6F8A8e4JFVIaAaSh5oN0bSb2BdNDsY+rVdG8PNyKMRg/4KAqjyCZPNgLl5eU/ddz93G26jqBXGvQcLAJVwY+tiS4Edsjb8HEYXEivlug7WPw5uUpBYIgAbFlGIzMbH0vG0y/XqQ9RAFIqqSaCWNDLdPhEYNgATIU/p5q6EMjiz8lbNQJ14Y+9Zao/ocmh6o+GyhWYNe6kRHNz8+YA6F21qB82AI+WCEDqEPP1DqATq/cBELIusyeB0MzbF+wf0t67NHvNPQmEGni5fQ711t0JgJZsIaDRJBAa8mX3eJwIgLbn450EcoNAQ1Jvp/bDAFB7yKVneE6HngMf7nfGOK1rAuqAHxsp1Qhk8efkqwuBqfDnlCEQAkPEH5U/HQDTfQIIhn4AuNnZ9HwXPHwCkHIJC4GZ8KcLganwx0ZeFQR1A1AX/ih2yz59HJXfPffeunXrDhC8i8M63QLgaV8fIw2AT+5oWY13Esit9nt6tDYfLbVC7/3R9mo04eIdexkYwhstA0N7Kd9vB4pm4NLhLANDu3JcbU8cedJe7oVdBoaWlKElZB4DsB8A2r2DhoF5l4EJq3248zUA5A5VZE8sLygoWN7vpHtLynoPUltIZuSsZATNutd3qAJgKvixtVKNwEz4Y8shDEEZ+KMCcL77574TRPG3/no/T6QGWuJL8AgbgJYk+cvMgz8dCPQCIJVBNgJ144/qoAuALYlmzB53YqK2YuWR9vtl/DdFeGdaADz16+OlAfCpHSeJAPA/9rp81INH6/xNs3vsCH900MQQWgiaegHZhaBp3T/noEkgtF4gLfZMkz/ovTx6P7CJOYcWiaaFoOmL9TcAt/hcCDq8lvLIWeARFNk6tPmCFRUVPdxh633P6zWSfglScKR4ZUo3AKlWshHohT8nkqoQyIu/9U8skckhMgDoE39U3sgD0Cpk9N8FFIEf+8lXMRzMgz+2DLIgqBuAuvBHsaqY8wl+f/PWFbW1tYQZPS9TBv+KsAB4ylcnoLCc5mIEOxqqG/D0TrRkHncPYLAMzdXrI2AAGI+bYUhefuG0bUZPyskv5V2iiKPiHt+PuhEoE4C8+KMoqQCgKP6EECgDf5ShAWDaD4mUYWBKPcMT2C/+nELLRKAo/pwyBEWgbvxRuXUC8NcXrm5Z88u3NyQSCepdypbDAuDJX50oDYATd6I1lg0Add8ABoC6I64ov7Kysi867HTKzt13oV7vgAdnx4huAFKtgiJQBH5sFGUi0C/+uBAYAfxROX31APp9GvkZArYKyXmjp/k4qURgUPzJRKBf/LFh8wPBuOOvbtUizB5/diLR3MRORgj48NZyuQXAk748SRoA/7vzfw0AtTRd60z8PnJDKKrJ0iMCx5R27DFpi/Of9r8ziI/vQ90IDAJAv/hz4i4DgUHx54nACADQF/6oYn6fRjEDoCz8yUCgDPw55RBFoG4A6uz5o5gsfe8+VM54a1Jtbe0JWfbtZgHwxC9OlQbAZ3Z5Kk4AvMueUPJz1NvV7yM36vVqi+XLLyptt6rnIVe377glLSYvcPiAn5O6bgD66QUMCj9ZPYGy8MeWp9XkkAjgz3fvXxgAtArr/+aX1gPI1F02/oIgUCb+RBGoG39UPp0AbK5fh5ljj0s0NdTS0iS0S0U2HRYAT/jiNGkAfHYXmoQbmyHguQBopfYvbQjSC4400SRyhwFg5JrEf4Fyc3Ov7dh32D82O/Eevnb1/93XqpBRRqBM/DmV9tMTqAJ/TnksBMrCHyUa4N2/tgRAy22daJJh8KNlyw07ewRPLXUKou8EqgAgLwR1A1An/igGK755Hmu+nji3pnJNOHv5BbvJLAAe//kZ0gA4aVeahBsbAFJd9gJwlr1LCf3/czYGPwsWerlX80FBbp4mNXUR6JRfWLSs/4l3F6RdEkYS+txV0I1Ar6FgFfBj6yyCQJX4ozIV5eRgk8XsCgcBbrCw8Gdpyme5/Q4BW1oN9oGQAcCWrQdsqHjCx5I2AmHjRaBK/HkhUDf+qDw6AZhobsScR05J1FasOJ5ZrFigFUM/1QbgHyUCcELcAOg0Em3RRUP8ZwLY3d5i7lEA1OW5LOyW9PvIDbvcJv80ESgoKLirw4Cdr9h0lGtSWbDvOc946wYgFSgdAlXjj/LmBaBq/DkAdBooMAQNAD3vdfcJfhHYCn5OoooBSNl4IVAH/tgYut8N1A1Anfijeq+a9iZW/u/hZbXVFb2ov134hgv/AguAx312NgokLAPTWN2A53ajpf1i1QOYqpVoWziC4IUACIZyhg8C3A8GgAGCF9FLe+bmFyze4o8P55R06w8ohh8bA90ITAVAHfhz6uyFQN34Y9vCFwQD4o/y9z0BhC4O8jTKol7AlPBjGy9EBOrGn1NtB4G68Uf56wQgLfw867EzUbfqVxoeHB/R7xCvYtkAPEciAKlTLNYAJPBRj+/ZtN28vTWdx36VXs0Q/OdBHrnBczcpKIlAcWm7x9sP3OX0XiOdXW2UZLNRoroBSAVwEKgTfmzF0yEwTPz5hqABoO8PCm8voCf+nBKEgMCw8OdU+ZTPRvmOv98LdeKPyrj254+w9J27KutrqrsBaPBb7pCvswB47KfnSQPg87uPiysAaUYmYf9Y+1dceheQujs/DbkNrewNAKPQCvLLMCA3L3/OVuc+kVPUUc+G5k4VdCMwJ68Z5+5Ce3SHd7gRqAN/VFt694/n4O4NDAjAQL1/QZ9GIfYAWkX3mAzCDT+NAKSsnOHgsPFHZTntW9pmFUjUB99dgudzoRt/LS0tWPD0BS0Vi2f/GcC/ecoY0XMsAB79yfkoKA8+itlYXY8X93g4TgCkL90z7OFemuRDs4EJfbTadXWU2pTvGyRKJTZl4YpAabv2r7Tbat/Dex7wJ67zZZ6kC4GEPzrCBiCVwUFg1PDHtmtGCAbEH+XTlgGYDoHC8GMbTEMvoIPAsAHo4G+9fzUgUDcAK+d/jV9fvqGusb62a1SXBeH8HrABeKFEANK2vLEZAm4EsNqe6EHwm8kZV+2nGQBqD7m2DIfl5Rd8v/UFz+QUlHfWlillpAOADv6cioWNwE3yczAwL19LnHl7/tIVJiUE2zIALb0Gf1nW3QsYCH/rJaR+jgD1AoYJQDf+WhlYEQR144/qtGjS5S1rF/5wYyKRuFnLg0JdJhYAR31ykTQAvrTH2DgB8GgArwBoUtcEclI2AJQTx0imUlJS8m6H4Uftv8ne52kvnyoEuuHHVixMBBIA6dCBwKAAdGK2HoIS8Be4BzDokyjIELAkAFIyhEAp8NMAQPds4DAQmAl/KnsDdQNw3eKfMP/Zy5uaGuu7A1ij/YEsN0MLgEf9b7Q0AE7e84E4ATAPwJUAjgBA7zO8B+AmALVymyF4akEfu8FLYFJQGYFd8wuLP9nq/Im5BWWdVOazUdoqAJgJf04BwkCggz+nDCoRKAt/rRAoAYChDv9SZaIAwO0HAoUK3l9TMBScbikYnQjkwR/7YJH1bqBu/FEdfn3hLy2VC7+7u7GxkWCQ7YcFwCM/vlQaAF/e6744AfDvAG604UfoO8h+/4+WgInUYQAYqeaQX5jS0tK32w055MCe+10sP3GPFGUikAd/YSDQjT+VCJSNPyprR2YiSfGi33zfI1kPQKq5n2FgQp/7iDgCo7AOoCj+nBAHRWAY+Kta+B0WvnhtQ1NDHa37t8r3hyw6F1oAPOLjP0kD4Ct73RsnAM4BcCcAa2ozgAMAvE5vR0Vt3UcDwOh8qFSVZCi9C7jlOY/nZuOMYBH4sQHU0ROYDn8qEKgCf24AsvETxWCbA2Aq+DkBVAFASltCT6AX/pwqqO4J9AvAoBDUDUCa+btw4uiWyiWzrkskEv+n6iGvOV0LgId/9GdpAHx173viBMB6ehuIOn6Zdqmz/83/b9kKGtkAUEFQo5ZkSUnJxHZb7HlSr5F/1V60IL2AfvHnVFIlAr3wxwZaxpCwCgCyvX+ZbgweDLYJAGZCXxb0AvLiTzUCg+LPLwJ144/KuXbWR/j9rdvX1NXV9cnymb/sHW4D8HKJALw7TgCk5Sk2oS2fmaBVARgGYL72L+EMGRoARqk11JWlb15+wS8DT38wt6Q7s++ouvxapSyKwKDwUw1AEfzJ6A1Ugb9MvX/pbot0EAyMP8ow6JMo6DuAVIZUQ8Ai6GMDF6FeQFH4sdWQ3RMoC39+EKgbgLTrx7wJZyWqVywaDeAhTY9bHdlYADz0w6ukAfD1fWjENDbLwNDU/TcBUE+gcxwO4H3XLwE0WzjUI+hjN9TCm8z5I1BQUHBf+/47XNzn6Fu1t7kIAGXhTxUC/eAvCAKjgj/3ncZiMDYAdBDoF306AEh5CAwFB8GfUx1ZCJSNPzbcXu8G6sYflW3V969h1f8e/K2mpmZzALQ2XFwOG4BXSwTgP+MEQN4t/kKfFKIdA3H5BGRhPboWFBT82ve4O4vLN9tWe/G9ECgbfmwFZQ0FB8GfXwRGFYBOfazyfSVhnVMZT6IgvYA72JM5EsHXA1x/74XcCygDf7IQqBJ/ThkzIVA3ABONdZjz6KmJ2spVJwGYpP2BqzZDC4AjP7hGGgDf2Pf2OAFQbfQlpi7jsSuxOCYplRHIzc29vv2mg27se9J9OTmc24jJKk8mAKrEn6yeQBn4E0Vg1PFH9clYRhEYyngS8QLQwV6qmzsbAMjRCygTf0ERqAN/mXoDdeOPyrL8y/9i7VdP/VRTUzM0ajM/JTzTLQAeYgGwOHByjdV1eNMAMHAc/SQg47HrJ19zTTgRKC8qKvq158i/dey41Z7aS5AKgTrwFxSBMvHHBj3T5BBV+KP8eSd/8NwgwuVMh0IZTyI3ADNBL13lZAKQ8lDVC5gBgSrwFwSBugFohcbeQSQM/DXVVmLWuFMSjXXVtP7buzyfoyw7xwLgwe//TRoA39rPmiDdAUBllsUiq4sr47Gb1QFog4U/r7TTJg8OPGtCbm5B8I28ReLHAlAn/Ngyig4Hq8KfU6Z0CBSGFWdDyMQfZSmtnM0StjxrkvSalUwEagagSvz5QWAY+GM/CpXv9eX8ZMg7bem796Lyp7ffr62t3V9eqpFKyQLgQe//XRoAp+z3DwPAEJrYADCEoIecZV5pael3HUYcN7THHn/UXhRCYFj4o8qKAFA1/tIhUBqqUrRuJAEoA39U1ygCUFMvoA74sbcTz8SQ0PH3vo0/ia91ej0wa36fhV+evrixqalpEIC5Xudn6c8tAP7hveulAfDt/a3tkU0PoOYbwgBQc8Ajkt2OeQWFX2x59vjcoo60OL2mIzeZT+n27PJImvJmsuFBoC78uRGoEn+Ul0wASiurAWCgD0Fznv3BCpSK+MWZEBgZ/DnV0oDAlpYEFv73kpbqpbNva2pq+pt4RLPmCguAB753gzQAvrM/bZVrAKj7DjAA1B3xiORXXFw8vqzviD/2GaVpcXrXd1SUEagbf84t0Tk3Fz1zaR9xNYdM/FEJDQAF2knVUHBjcti7uVjv6xxOzVMhMGz8Udkqnd4/dxMphOCqH17Hyo8eWFZbW0vLvtQI3B3ZdqoFwAPeuxkFZRImgayrw7v7X28AGMJdYAAYQtAjkmXXwsLC+b0Pv6G8wxa7qStShs6JKCIwLPxRAxAA6VCFQANAgdtc5nuAlK1sANrwc2oUFgApfxaBkcafEywFCKSJH3P+c3qifl3FMQAmC9xp2XhqEoDv3oJ8CQBsIgAecJ0BYAh3ggFgCEGPUJbnl3XuOXbAmePVTAjxGJkKG4DUDuxwcBTwx94bMiEoG3+x7gGkyskGoCwEuuDH3i9RQGDYAEzb85fqoSsRgvbEjw/siR8SU47Qt8WGotgA/D+JALRGzM07gJqb2wBQc8Ajlh1NCPm+w/bHD+mx+xlyi8b5WlJUEBg1/MmGoGwAShv+pYpG7R3AqAIwA/6i0BN48NcHy32GCKYmhD+JvYE1v8/GvKcvTjQ3NW4NYI5gsbPxdAuA+797qzQAvnfAtQaAIdwJBoAhBD1iWe6UV1D0+ZZnPyZnQggn/NgYhI3AvJIGXLv9C6E1izP061UAvz2CsvEntfcvqgCMEgI54Bc2AA/9cV+rCM214byL6At/7AfOZ59dcuLHpS3VS2fd3tTUZCmmDRwWAPd95w5pAPzgwL8YAIZw4xgAhhD0qGVZXFz8n9LeQ87sc+w/g+0Q4gN/TizCQiDhzznCQCAv/pwy+kFgmwEgBUnWUjBRAKAA/Nhnis6hYAd+rfLXjMDA+HMK7wOBK6e+hFWfPPJ7bW3tgJhP/GCbOAnAtwmAJYG/zprW1eKDPxgABg6kjwQMAH0ELYaXtC8uLp7bde8Lu3Xd7gjx6gWAH5uZbgSy+AsDgaL4Y2PFC8HI48/qNpKwCLQTnKgDkMrpNSHEJ/x0IzAV/pwy6OoJlIY/HwisX7MYcyack2hqqDsAwAfiD86svcIC4D5v/1MaAD/8w9WmBzCE28EAMISgRzTLP+QXlby5xZk0FLwJfxEl4U93T2Aq/OlGYBAA8vYIGgDy38obnaliIogXACXgzzK14mVhMuFPJwKlA5ATgjT0u2jSFS01S2c+Ul9ff36AuywbL7UAuPeUu6QB8KODrjQADOFOMAAMIehRzZLWBiztPfiMPsfe6T0ULBl+OnsCM+FPFwJl4M8LgSrwR3lKnQBiaSWiPYBUNhUITNUDKAl+OnoBefCnA4HK8MeBwJXfvoiVn01YVVdT1Q9AdVSf6YrKZQFwr7fulgbAjw++3ABQUWNlStYAMISgRzjL9kWl5Qu77Xlux4xDwQrxR7FRORTMgz+2fVS8FygTf2xZ3cPCBoASPmkqAMj2AiqAn0oEiuBPJQKV448NouvdQGbol/b6/VDCXZZtSVgA3POte6UB8H8H/0kEgH8FcDQAmnVdC+AzAPQS4SwmkLRC9b8AnEi/swKYAuAiAMuYczYD8CAAmsFEiH8cAKXdxJyzD4C7AQwG8CsA2rR4QrY1WLryGgDGpSXl1ePA/MLit7Y4i4aCe26cqmL8ORmqQKAo/pyyyESgKvy5Idgm8UdBkPkOIKWnCoA5+h69MoaD/cCvFUQlTgzRij+nEjYCk0O/l7fULP15XH19/QXyHrtZlVISgG/+Wx4AD7lMBIBvAXgGwNcA8gHcCmAIANp/eZ0dSYLdoQBow/sKAGPo0wxgd/vntOXS9wB+B3AVrb8P4AkAjwBwZnP3B/AjgIcAPAqAwH+vnS6BMusPfU+hrA9V26lASVm7J0t6bHFKn+NoKNgWnyb4sVGWiUC/+JONQB0ApDJ3z81FF6ftJN66kR7+zQYANjGdCwUFElsmfVJBARgUf07JZEwMCQV/TGhXfP08Vn3+RFsd+nUiYQFwjzfukwbAT0ZeKgJA983eDcByAHsD+NheUJo2nD8ZwPP2ydRbOBPArgC+AHAIgNcA9GJ6BQn0dwCg9Gh5CPo7IZJw6RwEz44Awl30UtKTwwBQUiBjlkxyKHiPszt2HXEUEAL+nHjKQGBQ/MlCoE78ue9HWRhscwCkQAbtBWTRxzaMJgBSln4RKAt/MhAYNv7qV/+G2ePPRXP3boacAAAgAElEQVRjHQ0ZtsWh39YAfP1+eQA89BJKe1MAVcxHpB4A/fE6BtoLcA+1e+z2A/AegE4A1jIXL7R78O4BcDMAWvJiOPNz6vH7BcAIAN/ZmJwKwBqfto8z7TRo15KsPwwAs74JlVVg//zC4rcH/vGh3OKufZVlwpNwEATKwl9QBOrCH5WTev8yHUEwaADIc8fa56SDX5YgUDb+giIwTAAmmhux8JnLWupW/PpofV31eQJ3QRxPTfYAviYRgIdZAHQfNwG40SOA9LB7xe6V28M+l3r+xtvv/rGXf2Uv10PvC44DQF9sBzEnlNpDyCMBvAlgtp3Obcw59LPX6VV1+/3DrG5fA8Csbj61hS8oKvlXcaeef+5/2tic3IJwVvh3augHgbLxx0Zb9L3AKAHQqYcoBKXjjwoicwYwpSf7HUBKU6QHkAd9WQBAVfjzi8Aw8UdlXvbhw1g7/c0FtesqtgFQp/bJG/nUkwB8dYy8HsDDL6ZK++kBpHf9aDiX8PebBwDpnUHqGbzGA4CUHr1nmAqANCRMQ8e0AnbW3wcGgJH/rIVawILSdh2/b7flnoN6HmRN0w/tEAWgSvw5QeBFYBTx525IHgy2WQB6IVAUfe7gR2woWDX+RBEYNv4q5n6OX1++qampsZ5mghIK2vphAXD3lx+QBsBPjxxNMaVh1UqB4NLEjiMB7AVgPnOdGQLmDKIBIGeg2vBpfQuKSmb1OvjKok6D6XMV3sGLQB3440WgTvxRmbyGf3laLx0GDQCZ6AVFH9sQGgFI2aZ7H1AX/Niqe00MCRt/DZUrMHfCOYmGmsozADzF8/lpA+ckATh5rDwAHkUrtHADkNxyP4BRAGiZljmumBMkaRLISQCcTd63tJeJcU8Codm/NIGEDhrav5Meo/a7hzQJhIZ86d1C55gIoLOZBNIG7nJTxfUROLKgqPTFgWeOyy3q3DvUsHghUCf+eBCoE4Ay8OduXBaDWQFAqoDKYWCZ8AsJgakAGAb+nOqnQ2DY+GtJNFu7fdT+Puvpurq600J98EUrcxuAD0oE4IUiABxrz/Cl3j927T9a7oXWBaSDhoYJb7QMDPUqEhjp2M3+r7MMzBIAtA8dbX/1pL3cC7sMzAx7CZnHAFAPyH1mGZho3YymNBoiUFRUNKa4a9+L+p5yf05ufqGGHNNnkQ6BYeAvEwJ14o/KoQKATv3KcnLQQcGyMtLfAVQBQHoHUBX8nACH2AsYJv7SITBs/FG5lv3vMaz9/uUltesqqffIWV8u1GdfRDK3ALjbS/IA+NkoIQC6luZeHxWaoess0uwsBE29gOxC0LTun3PQJBCCIvUiUvvSQtD0fiC7EDTN+KaFoGmNQXrH8BazEHRE7kJTDK0RKCotLf22/dCRgzfZ33pfI9TDjcAw8ccGwnkvME74o/oRAFMdgVEoexJIEAB6TfaIIQKjgL9UCAwbgFULvsWCF65tbm5soGVCaDFgc2yIQBKALzwsrQfws2Os7ZRF3wE0bRIwAuYdwIABbGOXD8gvLJ656eF/K+i4lTPjPrwIOAiMCv6cSNy140vag6Ky9y8TANNVlBuGYQDQC3rpKhUzAB65YA/UN5Vrv1czZUjDwWHjr7F6NeZNOCdRV72GFgamnSHM0ToCFgB3fV4eAD8/1gAwjJvMADCMqGd3nscVFJU+M+CMsZFYHzBq+Es2bQvu2nGytlaOGv4yVbwVDFXgjzJn3wH0i71UlVANQMpTw1Awwc85ogbANa/TaGt4R6KpwXrvr37FvBdqa2uPtz7M5nBHwAbgOOSX0moowY6mmlp8fqy1tKLpAQwWSuGrDQCFQ2YuKCwsvK2gfber+582Nje/hJ4F4R7t9lgcbgFa5d76+0IHBLMJgGyoOkDR46eOZ/MAH7dMlgOQhR9b+6ggMGz8tbS0YOmUu1A9+8MZNTU1OwGo8XGXtIVLGADSesjBjqaaGgPAYCH0fbWiJ7Dv8pgLsyMCuaWlpa8X9xx0UJ/jbs/JyaUJVeEe0UBg+s4CVRBUjT9q1XTv/wVt8awDIFVYNQIV9ACmg19UEBg2/Jw4rPzmBaz85NE1dXV1w5hFhYPe5nG83gLgLpMeQX6pHAB+cfy5FCfTA6j5bjEA1BzwGGXXrqSk5LsOww4dEIVJIRTX8BHoPVokG4IGgCk+Uap6AHUAkPKQiEAe/FGWYfUCRgV/VfO/waIXr21sbGykRYW/iNFzWkVVkgB89lF5ADzhHANAFS3lkaYBYAhBj1GWmxcWFv7Q44BLy7sMpx1ywj/CQ6A3/pzoyEJgNuMv+bRX9PgxAAQv/MLsBYwK/upX/4Z5T16YaKitPsteCiT8B1m0S5AE4DMSAXiiAWAYTa7oCRxGVUyeIUVg34KCgil9T/xXQXkfdsH0kEoTSk8gP/7YqASFoAFgmnss2wEYoBfQD/zCQGBU8Ndcvw4Lnh7d0lDx+3319fV/Cu+plVU5JwH43//I6wE86WzTAxjCLWAAGELQY5jlRUXlHe8fcMZDuYUdekSmevp6A/0BMEiPoA78UflUvf+XtT2AVHDV7wH6AGBQ+Dn3oo6h4Kjgj3b6+G3ydaj59fsPamtrD6Rd8iLz8Ip2QSwA7jzxMWkA/PJk6nw17wDqbnYDQN0Rj2d+OUVFRY8Ude5zVt+T783JKyqLTC3VIzAY/vz2CBoAetxibagXUBb+VCMwKvBz6vn7Bw+iYtqrC2tra2mx57WReWhFvyBJAD49Xh4AT6FNPAwAdTe9AaDuiMc3v4KSkpIpJb0G7bPpMbeGvl0cG2Z1CJSHP9HeQB0AVNn7p7QHkBJvAwCUDT/2MyO7JzBq+Fvx1bNY+en4ivr6+h0AzI3vY1lJzZIAfGqCPACeSlv2GgAqaa0MiRoA6o54vPMrLy0t/bSs/87Deh3+N0RheRgn3PIRKB9/vL2BOvBHZTEAzPBh1TEMTNmnmBGsEn4qEBg1/K3+8W38/va/ahsaGmhF7KnxfiQrqZ0FwJ2elAfAr04zAFTSUh6JGgCGEfV459m1pKTkm/ZDDu67yQGXICfNHrJhhEAuAtUCMFOPoAEgx92jsgeQsg8BgLrg50RXRi9g1PBXOe9LLJx8faK5seEPAN7juJPMKRtHIAnAx5+Q1gP41Rmnmx7AEO40A8AQgt4GsuxbXFz8beddTunSfbdTI1fd4BDUg79UPYK68Gd6AD1uW10AtHsBdeNPBgKjhr91S37C/GeuSDQ11J0EYFLkHkzZUyADwOxpq4wlNQCMSUNGsBpDC4qKv9lk/4sLo7JGIBsj/wjUjz+2N1AXALN6+JcCFpMewFFLd0ciURjqx9tPT2DU8Fe3ahF+efqSRFNd9Z8TicR9oQY0+zO3ALjjhCel9QB+/cfTTA9gCPeFAWAIQW9DWe6ZX1D0QZ8j/57XYcsNG9BHpf7+EBgeAPOKG9aHbvy2bykNowEgR3gV9QIS+txHmAgUAWDU4EdxbKhagQWEv5o1dzQ0NFzL0bLmlMwRSAJw/FPyAHimNVJktoLTfOcZAGoOeBvM7qj8wqIX+h13e255X1ptIVqHGALDwx9FjQUgG0UVGDQA5LhPJQMwFfycUoQJQCoDDwKjiL+m2gosfPbylsa1S56sq6ujmQbhfog5bqssOCUJwP88LQ+AZ59iABhCwxsAhhD0NpjlmflFJY/2O/6O3KjsFsK2AR8Cw/3eSIc/970kA4Oq8Zd80it+9KgeAqZKSABgJvRFqRfQC4HRxF8lFj13ZUvjmt9eq62tPZparA0+e1VU2QLgDo9OlAbAb8452QBQRUt5pKn4KRxCjUyWUY3AeflFJQ/2P+HO3LJNB0eyjJkhmB0AdAIbBIIGgJy3p08AiqCPLUlUewEjib+6avz63JW0xdv7tdUVhwBo5GxVc5p3BJIAfEQiAM81APQOu/wzDADlx9SkmD4CFxYUlY7pd+KduWW9B0UyTqkRmF34C9oraAAocGtyItAv+qIEwFS9gFHEX3NdNRa9cHVLw9olH9VWVRxErwEKtKg51TsCSQCOe0ZeD+B5J5oeQO+4Sz/DAFB6SE2CmSKQm5t7aU5Byb83P/GfyA4Ehos/iiXv8C/PncfTM2gAyBNJ+xwPAMqAXxQRGEX4UZya6qoxf9LVaFm34uuaipV70uuLAq1pTuWLgAXA7QmAJaV8V2Q4q6m2Bt8aAAaOo58EDAD9RM1cEygCubm5l+QVFN/b74Q7css2HRIoLVUXJ3sC44U/np5BHfhL/qqv4dET0nuAstEXNQD+/vIIVR+7QOk21VXh1+evbmlau/R/66qtnr+6QAmai9NFIAnAh5+VB8DzTzA9gCHcbxqewiHUymSZDRG4ML+oZIw1O3izYZEsb04eUL7rb6GWTWbvX7qKsL2CBoCCzW33AKpEn7tEYb4L+PsrNv7C/92oVVhotu+i565uaaxc9qH9zp/p+RO8lQVOTwLwoUnyAHjB8QaAAg0g61QDQFmRNOn4icC5+YXFD/U95h+57fpv7+d6ZdcQ/pwjLATqwJ87gJOGT1EWUzbhOPQAjvp1Zy2xigIA18OPLUxEENhYvdrq+WusWPJ6bW3tMeadP+W3ZRKAY59DnoQh4GYaAr7oOANA5c22cQYGgCEE3WTZKgKn5RUUTtj00L/kdhq0XyRCw+KPLZBuCIYBQOSm/lafNOxtqW2TTQAMC3qZAq6rFzAl/CKEwPo1i6nnL9Fcs/r5uro6Wk3YzPaV+klNmZgNwOclAvBYA0D17bZRDgaAIQTdZLlRBA7JLyh6ZZN9z8vvugMt1xXukQ6AunsEtQMwDf4ytYYfGGrBHxVa8B3AKEIvXexVA9ATfk7BQuwFrPl9NhY+/5dEon7d/Y2NjZcDSIT75GgzuScB+IBEAI42AAzj7jEADCPqJs9UEdiloKjkg647HFPcfa+zkJMTzq3phT9dPYLa8UcV8wHAdLdyJhhGAYDZhD3dCOTGX4gIrFrwLRa+dF0i0Vh/TSKRuNM8UrVGIAnAMQTAssAZN9euw7cXGwAGDqSPBML5lvVRUHNJm4jA1sXFxR+132a/7j0Puhw5ucyLeBqqL4I/1b2B2Q7AVM3loFAnAOMAPV0AFIYfWzCNPYFrZr6P3964I9Hc2HAmgCc0PBpMFq0jYAFwxH0vSAPg1Evp1U2zF7DuG80AUHfEsye/bgBuBnAogB4A1gD4wf63S+wPK62w7xz09zcA3AjgJubf6e/0oN6Ms+qblpSUfFjad8SA3of/HbkFxZyXBT/NDwBVQDCO+GNbJyevOXhjcaRQUria46zsPkXGUHAg+Dnh0wTAld++iGUfPlTf2NhI74rQ88bPkenZ9imABQD6pkj4rwBu95NhzK5JAvDfL8oD4GXWqz8dAFTGLFaRro4BYKSbJ9TCfQygEAA99H6xEbg/gBkAegK4C0AnZn/NOwCcZJ+7D1Pyj+wH6hkCtelUWlr6TmG3ASM2PfofOfkl9LxRewTBH1syGRNFDADltLUBYOY4SoEfm4VCBLa0tGD5J49h1deTqhsaGg4E8EWAuyTTs+0V+3n1HwCPuPKoArAuQL5xudQG4EsSATjKADCEu8MAMISgZ0GWHe0eP4IcAc59bAlgFoBdmQfxlwAeB/AvG4a0CCt1360FcAGACYL1LiktLX0xt6zLQYTA4i68HYiCuQCQhT8ZEAwFf1Rwie//ebWA6QH0ipDYz/30AkrHn1NkBQhMNNZh6ZS7UDX302V1dXX7ApgpFqFWZ3s92+hk6gG81/4TIKvYXmoBcLt75QHwuz8ZAIZxtxgAhhH16OeZbwPwUQDXpNlOibbKGAP8f3tnAiVHXefxb1Wf08fcOUhCgHAmJhyrZIFoCCJ4gOii4rW7XoBPWZGAyLFEThFEUcQLccH3FlceqAEMi/oAjVxuEBISQQhRQkIOmMlkjr6Pqn2/7hrSDJOZ7umq+ld3f+u9fjNJqv7H5//vzqd//wvfABAHIONtswDIt+svAvgDANnX5SEA+wN4eQrV9gWDwetMPXD+vh/4mt5+4OIpJDHxI07I32iOU4kGUgDta+JWiAAKrVoE0DHxq2w2GyUwN9yHbfeuMPO7tz6dSqVkOsqrdfaQaj7bKIATQy4L4I332hYBXHv+ByRHDgHX2blrfZwCWCux1rlfZuXKEEgbgKetSOCdANZbCH4OoBeAHLn0PgCyEu8tAG4BsBPA5dZ8Qdmba16d2D4ZCARum770zGDv4o/YukLYSQGsVQRbQf6EiVsRQMmrFSSwGgF0RfxsjgImtz2LrStXGCik78hkMmfbeK7vZJ9tIoAyzWXsnoIyz/mROj/LmuHxsgB+20YBvIACqKJjUABVUG+cPGUIVw5UPwaAfPhJCO5MazhXfsowicwD/DoA2Q/gHACfAPB5AMdb0cCN1jP11vrocDj8QPthy3pmnrwcul+mJ9Z3uSF/lSWcLCJIAayvPcd7uhUEcLIooKvyZ5MEDmz4Lbb9/ruGWcwvNwzjZgcO5p7os00E8I5xpq3IqEfa/l7acCmWBPDIb91nWwRw3VdOYwRQQTegACqA3sBZypCwTMCWFXIHAtgEYAmAm6wI4F0AZgP4uzUcvAPAZwFItNCOa1YkEnkg2HvAotkfvFILxHqmnKbb8jdZNFCZ/EnBXJz/xwjglLvshA+OFwVUIn6VpZzCULBpFPHq6p9gYO09yVwu90EADzpD7E2pVn62cQh4YuhlAbzhN/YJ4IXvr0UAlwK4EICcHyqRWplAeE9FkcVrZPeJswDInE9Z2f0FAC9W3NMNQL5YSMaygfivAHwZQKLiHjmk/gcAjgbQZ93/TZf6oyvZUABdwdw0mchu+5daQ79SqS0A/gfABQDmVMzPEQGU4WK5V/5evjnbdYXD4fDtWih2xr6nX6NH9jl0SumqEsC9iSAFcErNOOlDrRIBFBCjEqhc/EZbpUYBLGQS2L7qajO9bcPmdDp9svUFc9I2tumGys82CmA1AvhNGwXwqzUJoIxGSeBBpiaJuI0VwIus3Ss+be1KcTWARQAWyPlAVtUesORRRqsCAG4H8KQ1giW3iOTK6JV8AZF57vL8bQDOA/ATm/qc8mQogMqbwJMFkNDa3VaHlzl/sv3B26xvQPcD+JxValn1K28+Ebz5FTWRN4ps7S4RwKkZ2sRYNF3XL9D9getnnniO3nPkqTXNC1Qtf5VVk2HhVpI/qTvnADrznt9+j8zU8NhVpQTKsW7bfnOVYaZ3P5xKpWSOnlP7wVXz2SYCON42MCkHy+WxhpuwOOUI4PU2CuBFNQlgZeGkh1UKoDjNdms3CtmqTC5ZXCKLh0QIJTAh/1c9Z0X2/mLd8x5rX0kJWMjzEjGUqU0zAeSse2QPSIlKH9ZIjTVRWSmAzdKS9tYjZG3oLN/CZahXviFttaTw2op5MPKGkm9OP7beMKOlkD3/ZNsXWRAiW8A4db0zHA7/Mn7wki6ZF+gLTX4skZfkbxSKaQKd75StFhVcTTz8KzRbIQK4/d4K8atSuFztaROUSfb32/X0Pdjxx1sMzSxeXigU5PPFyTN9q/ls29tG0E5/nrnaLHVk5mUBlAWHMgJ1FIB1FXWU7czkzzLMK9OSRrcrG71FVodLdPAjAFZaJ8xIPUX4Ri/ZguhhADJ8LAcjNPxFAWz4Jmz5CsyIRqN3Idz59tmnrZh0SNhrAijyN/ZyVQYpgA35BnqD9FXWoIEEsJAZwU7Z3+/lp4azqeSpXGHbMF1xjwCGJ//SPVmtipkk1pUjgBJ9k9Gm0StbxcrvsRHA46w5f7IlmYxAjV4yP13u/ag1NUmCFGNHp16zdq/4EYDfA3jJWtA4moYMIctBCPKznr0oJ0Pi2r9TAF1DzYwcJKDrun6R5gtcs88JZ+k9bz193CFhr8mf8BhPACs5OS6DFEAHu6X9Se9V/BpMApPbnsO2VVcZyI7IkK+cINRvPy2m6BCBsgBe9xv47BLAi0sCOPaShRxytOhEV7UCKFOa5AzKj00ggLLQY4U1ojWeAMo2Z3+1hpCfd4itq8lSAF3FzcwcJrAkFI7dHz/gyI6Z77kQlUfIeVH+qhHAUV6OiKDL8id1cXP+n+TXDEPAVUmf1wWw1NnlC4+B/ifvws4/3W6YRuGrhmHc6MAWLw5/zLR88iUBPOIb9gngM5fYFgHkEHAN3ZMCWAMs3toQBHra4h2/1HzhpbNPu0yPzlnoyFFvdpCYLPq3tzxsk0EKoB3N6EgaNUvf2FJ4cCi4kBrEjv+9Hsltzw5kUiOyknONI/CYqNMEygJ4rY0CeKnti0BkAYjM85NLyivDu2MXgcjCxqese2S++2+tYejKRSAzKjYEl/mpp3MRiNPdi+mTQH0EZJXwedD93+49+sPaPss+ZcvG0fUV6c1PT1UAK1OqSwYpgHY3aV3p1S19Ho4CDr7wJ2z73Xfg04zfZRLDMgwnZ4TzakwCqgUwBuAgC91aALKFjxw9KseRytZksg2MHGEq8/xkHp9sAyN7+o3dBkbkThYpjm4DIyuC5SADuWTlsJx3L0PB1wNYaO2KsZzbwDRmp2WpW4/Awki8Y6Uv0nXgPqdepEVneWf1vh3yN7Y5a5JBBfIn5XV7CFjy9PowsK3i5zEJLKSG8OpDN2Pwxcey+WxGto+SfUM9GJ9svQ/HOmpcFsBrbIwAXlZTBHCZJXxjqyDbkkmUb3QjaDk+UDaCftQ6n1729Ru9ZCWvnGVfuRH0uWM2gj7Cukc2gpY5qrJxtMhg01wcAm6apmRF9kIg4Pf7LzGhXz79mI/o09/x756IBjohgKP1r0oEKYBK3zCOSZ+HBHDwhUew4/c3GjrM1enE0CfHrMpUyp+Z10VAtQDWVXg+vIcABZC9oVUIHB6JdfzaF+ueN+uUi7TILCf2p64OpZPyV3VUkAJYXWPZeJcr0je2vApibaWo38Pfx+BGifql5cxwOQpSQUlsbDwmVUmgLIBX2xgBXFFTBJCtYRMBCqBNIJlMQxDYEw089gx9+tv/TUk00E0BrGyVN0QGKYCudFgl0qcwCji08VHs+N2Nhm5kH0ylUjIcV7kXmyvMmYnjBMoCeJWNAvg1CqDjrTZOBhRAFdSZp2oCh0cikTt97TMOm/nu87TYXJkf7M6lSv7eUDsD6DxZNst3/2qFOYDbV1onc+ju831Tji7F3fIj/Xjtjz8uR/1ymbMA3MGonwfa35kilAXwShsF8HIKoDNNNXGqFEAV1JmnFwgE5Dxhn893RddbTghNP+HzCMRkXrCzl1cEcG+1dFIMVcif1NOpRSCvi97eYHpBAKVsDkqgWSyg/6lf49VHf2YEdNyTTqe/ZJ2l6uwbiamrJFAWwCtsFMArKIAqGpQCqII68/QSgTltbW03F0zttBlLP6P3Hv0v0HSfI+XzhPxJzaZw0qodYtjIAjip7HlZAh0SwJGX1+G1h24yiiOvbU6lUjLXT7bi4NX8BCiATdLGFMAmaUhWo24C74pEIrf6O2buN+Okc7XYfrIDgL1XIwvgeCRqlcJGEMApi56XBdDmKKAM9/atvgW7n1+dKRaLKwzDuKlis1x73zRMzYsEygL4NRsjgFcxAqiioSmAKqgzT68SCOq6vtzn811ZGhZedjYC8R5bytps8jcRlL2JoZcE0HbRawEBHDPcuzKdTsu+aXJqAq/WIlASwMNtFMD1FEAlPYgCqAQ7M/U4gdeHhacf90m9d/Hp0APhuorcSgK4N1Bd763ch7UunDU9vPv+Q2q63/abG3wuoGmaGN70BPofuXV0uFc2dP6j7ZyYYKMQKAvgCvsigOuvZgRQReNTAFVQZ56NQuCEaDT6PcMXXtD7jk/pPUe8F5rPX3PZPSN/UvIpzP+rucJei4YVbKvB1BJqYAFMbN2AXY/caqZ2bhzJZrOXAfgxh3un1g2a6KmyAF5mowBeQwFU0T8ogCqoM89GIiDvkQ9FIpEb9WjP7N6ln9U75x8PTav+rUMBtJpblQhRAPe836pcEJJ+7R/of/S/MPyPJ7OmaV5fKBS+BWCkkd64LKtjBMoC+J82CuDXKYCOtdYECVf/v5iK0jFPEvAOAQn9fSYcDl8X6t2vq/f4s7T2eW+tqnSeEUCV0T8hpUoAJW+VEqiy3mN76CQCmB3cif7Hb8fAs38wdA0/zOfzVwHoq6qj86ZWIVAWwEttFMBrKYAqOg8FUAV15tnIBCK6rp/rCwSvjM9dGJi29MwJj5XzjPwJcQqgun7ncQkspAbR/+efo++pe81gwH9XOp2+GMBmdcCYs4cJUAA93Di1FI0CWAst3ksCewh0BwKBSw0T53XO+ye9+5iPa9G5h79paJgCWNFlVEqQygig6ujnBFHA3NCr2PWXu9G/dpUZ9OsPp9Pp8wGs5xudBCYgUBbAS1bBF47WDaqYSWL9N06VdDoADNedIBOomgAFsGpUvJEExiUw3e/3L4fuPz8+66BA1z9/Qms/+JiSCFL+xvCiAHrmLZTp34KBNXeif8ODZjgUWJVKpa4E8JRnCsiCeJlAWQAvtlEAr6MAqmhwCqAK6syzGQl06Lr+BX+o7TJffEZ0+pJPoHP+MsdOFakZYCsP/wosRgBLXSa14wW8+vjPMbLpCSPUFrk7nRi+HMALNfcnPtDKBPYIYMiGCGA2ifUUQCX9iQKoBDszbWICbQA+HY7Gv+4Lxzu6Fn9U7z7iPdD9QbVVpgCq5S+5K4qAyj5+iZfXYXDNL8zBzc8Y/oDvlmw6fR2AreqhsAQNSKAsgBetgs8uAbyeEUAV/YACqII682wFArJq+GOReOd1RRP7dB91mt511KkItk9TU3cKoBrulbm6LIBGIYfdzz2M4bUrzVTflpxpFG4oFApybFu/ehgsQQMToAA2cONVFp0C2CQNyWp4loD8t39SNBr9SjqTPbFnwVKt46gPILrvopr2EqyrdqrlT2H063VuqoeAXWQgCzsG1t6HgXWrjIBWfDmZTN4A4Dox78YAAAqdSURBVL8BJOrqR3yYBMoESgK46EL7IoAbbmAEUEXnogCqoM48W5XAvEAg8CVN084Od88Ox494v9696CT4wjFneVAA1c8BdFgATaOI4b+vwciGVebAxv9DOBx6IJVKyebNcmRblds/O9sNmXrTEKAANklTUgCbpCFZjYYiEAFwRiwWW57O5hf1LDpR6zj8FERmz3cmKkgB9IYAOiCBueE+7N7wWwytX2WYmZHd2Wz2B4Zh/JTz+xrq86DRClsWwK/YGAH8FiOAKjoBBVAFdeZJAnsIHBEKhc4xDONfQx3TQ/EFJ+mdC9+FUPds+xhRAJtKAAuZBIaeX43kCw+bgy+tMyORyCOJROI7AO73wHpn+/otU/IqgbIAXmCjAH6bAqiisSmAKqgzTxJ4M4EwgFOi0eiZmUzmpPbZh2qR+SfqnQtOQCDaNXVeXpA/ByJfUwLSwPMAZUGHDPEmn38Qu194rBgOhzcmEomfALgTwM4p8eBDJDA1AmUBPN9GAbyRAji1pqjvKQpgffz4NAk4QaAbwIdjsdjZ6XT6qK6Djtai80/U2g9ZAl9Qdpmp4aIA7oHlBQGsQYZN00By6wYMP/cQBv/2B8OvGX2ZTOanhmHcAeD5GnoBbyUBOwmUBXC5jQL4HQqgnQ1UbVoUwGpJ8T4SUENgfwAfj0ajn8/k8nO7D16M8LxjtfaDjkEgJp44yUUBbCgBlEhfYvPTSPz9CYxsetwwMiMpAL/IZrM/A/AEF3RM1uH57y4QoAC6ANmNLCiAblBmHiRQPwF5ry4E8P54PP7xRCK5sHPufCM871i9/eDjEJ62//gLSCiAnhfAfHI3hjf9GZmXnsDAi2vMUMDXl8/nf5XP51cCWA0gV3/3YQokYBuBsgCeZ2ME8LuMANrWOjUkRAGsARZvJQEPEZgpcwZjsdgZsr9guL1Xix10nB47+NjSHoOlk0e8In8CzeVNkMdtJ48MAZuaiUzfZgxvekKkzxjc8pwei0WfHRkZ+QWA+wD8lZE+D73TWJSxBMoC+GUbBfAmCqCKbkYBVEGdeZKAvQRkYuA7g8Hg6Zo/eEYhl4tG5rxFi849ErG5RyIy6zC1R9F5Qf6EtyIBlKPYsru2ILFlHRJb1yG5ZR2MbLLYFo0/lhgakA2aZfXuDnu7BFMjAccIlAXwXBsF8HsUQMdaa4KEKYAqqDNPEnCOgLynDwWwLNredVohnzu+kM+3de63CIHZh2tKhLDFBLBS+LLb15sjm58285mkGY13bhje3fcra3PmJwFknesGTJkEHCNQFsAv2SiAN1MAHWstCqAKtMyTBDxB4HUhjEQi7zYM44R80Wjv3HeB6Zt2sN428xDIK9Q9B5rmkKk5lGzNdB2KAOaTA0jv3IjUzo0o9r9ojmx91sylR8xYNPLk8PCwRPfkNA4KX80Nxgc8SqAkgAv/wz4B/Ov3KYAq2poRQBXUmScJqCMwKoRLQqHQ4lAo9PZkMnmI5g/qHbMPha/3ID088xBERqVQ99Vf0iYSwHxiV0n0RPiKuzaZie3Pm+mhfj0Wi71iGMaaVCr1OIA11osRvvp7D1PwHoGyAJ5jowD+gAKoopkpgCqoM08S8BaBAIAFAN4aCAQWRyKRJYlE4lC/36+1TdtfD3bvq2vtsxHumYNQ976laKEvFK2+Bg0mgEYxj9zgDmQHtiI78AoKg6+gOPSKUdj1Um5oaCg0RvaeArAWwHD1QHgnCTQ0AQpgQzffnsJTAJukIVkNErCZgB/AfACHATikra1tYTAYXJhOpw/I5XLRcLzLiPbOha9zju7rmIVAvAeBWA/80Z7S775wfM+2NB4TwGIujUJyABLNk1dBfg7vhDm0zUzv2mIkB3b4dF0vRCKRrbLh8sjIyDMANlqv9QBGbGbN5EigkQiUBfCLNkYAf8gIoIoOQAFUQZ15kkBjE+gRKRx9xWKxBbquzy2Yvv2ymWRHMZ/z6/6A2RbvNrRojy/SMc00I12aHu4onWSiB9vgC0VKP/VgBL7g6O/lv9d0P6Bp5TmJmgaU5iaagGlCTsco/TSKMHLp0kuEzsilSq/S71nrZ+n3BJDejfRQH5DcVcwM79Ly2ZSu6T4j1BZNBn3YahjGK6lUaqNhGHK6xqjoifx5aSOdxu4xLH0zESgL4BdsFMAfUQBVdBAKoArqzJMEmptAHMA+Fa9Z8ns4HJ7h8/m6/H6//AfSbppmvFgsRorFYrRQKIQLhUKwViwSqQsEAhm/35/WdT2p63pC07ThYrE4bBjGYDqd7jcMY7u1zYpstTL62kXBq5U27yeBEoGSAM7/7F2lL2/1XsVcCn+77QxJpoNTKeqlWdvzFMDaePFuEiAB5wjIipMYABl+lrCf/Fl+zgHQByBtSZtE5ooAkjwlw7nGYMoksBcCYQAvAZDN6O26dgI4AEDGrgSZzuQEKICTM+IdJEACJEACJEACewiIBNYcsZ8AoBx3SPlzuYdRAF0GzuxIgARIgARIgARIQDUBCqDqFmD+JEACJEACJEACJOAyAQqgy8CZHQmQAAmQAAmQAAmoJkABVN0CzJ8ESIAESIAESIAEXCZAAXQZOLMjARIgARIgARIgAdUEKICqW4D5kwAJkAAJkAAJkIDLBCiALgNndiRAAiRAAiRAAiSgmgAFUHULMH8SIAESIAESIAEScJkABdBl4MyOBEiABEiABEiABFQToACqbgHmTwIkQAIkQAIkQAIuE6AAugyc2ZEACZAACZAACZCAagIUQNUtwPxJgAT2RmAagKsAnAJgBoDdAJ6x/u4xYiMBEiABEpg6AQrg1NnxSRIgAWcJ/Mk6cP4SAP+wJPBEAM8CuM/ZrJk6CZAACTQ3AQpgc7cva0cCjUqg04r4LQOwulErwXKTAAmQgFcJUAC92jIsFwm0NgG/JYA/BXAxgGxr42DtSYAESMBeAhRAe3kyNRIgAfsIfAjArQDaADxtRQLvBLDeviyYEgmQAAm0JgEKYGu2O2tNAo1CIAzgHQCOAfBeAIsBnAngZ41SAZaTBEiABLxIgALoxVZhmUiABPZGQIaETwKwHxGRAAmQAAlMnQAFcOrs+CQJkID7BM4HcCmAXvezZo4kQAIk0DwEKIDN05asCQk0E4EeAHcDuM2a8zcC4G0AbgZwP4DPNVNlWRcSIAEScJsABdBt4syPBEigGgIhAFcAOBnAgQACALZaUngtgHQ1ifAeEiABEiCB8QlQANkzSIAESIAESIAESKDFCFAAW6zBWV0SIAESIAESIAESoACyD5AACZAACZAACZBAixGgALZYg7O6JEACJEACJEACJEABZB8gARIgARIgARIggRYjQAFssQZndUmABEiABEiABEiAAsg+QAIkQAIkQAIkQAItRoAC2GINzuqSAAmQAAmQAAmQAAWQfYAESIAESIAESIAEWowABbDFGpzVJQESIAESIAESIAEKIPsACZAACZAACZAACbQYAQpgizU4q0sCJEACJEACJEACFED2ARIgARIgARIgARJoMQIUwBZrcFaXBEiABEiABEiABCiA7AMkQAIkQAIkQAIk0GIEKIAt1uCsLgmQAAmQAAmQAAlQANkHSIAESIAESIAESKDFCFAAW6zBWV0SIAESIAESIAES+H/C1RKvU3gMxAAAAABJRU5ErkJggg==\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# prepare data\n",
"plot_var = PV_mean['yearly_PV_kWh']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"data = plot_array.values\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('PV potential per roof (kWh)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,80, 'Tilt angle')\n",
"\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig('PV_slope_azimuth_suitable_flat.png', dpi = 300)"
]
},
{
"cell_type": "code",
"execution_count": 86,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
]
},
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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"
}
],
"source": [
"plot_var = PV_mean['yearly_PV_kWh']/PV_mean['tilted_area']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"# prepare data\n",
"data = plot_array.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = 0\n",
"VMAX = 130\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"# ax.set_rlim(-10, 70)\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('PV potential per m$^2$ of roof ($kWh/m^2$)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,80, 'Tilt angle')\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig('PV_slope_azimuth_normalized_flat.png', dpi = 300)"
]
},
{
"cell_type": "code",
"execution_count": 71,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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_var = PV_mean['available_area']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"# prepare data\n",
"data = plot_array.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Average available area per roof (m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,80, 'Tilt angle')\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"# plt.savefig('Irrad_slope_azimuth_interp.png', dpi = 300)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": {
"text/html": [
"<img src=\"data:image/png;base64,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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_var = PV_mean['yearly_kWh_m2']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"\n",
"# prepare data\n",
"data = plot_array.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Average tilted radiation per roof (kWh/m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,80, 'Tilt angle')\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig('Irrad_slope_azimuth_interp_flat.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot by roof size and tilt"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
"PV_yearly['area_log'] = np.log10(PV_yearly.tilted_area)\n",
"PV_yearly['area_log_round'] = util.round_to_interval(PV_yearly.area_log, 0.2)\n",
"PV_yearly['area_log_round'] = np.minimum(np.maximum(PV_yearly.area_log_round, 0.7), 3.2)\n",
"\n",
"PV_yearly['tilt_round'] = util.round_to_interval(PV_yearly.NEIGUNG, 5)"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [],
"source": [
"PV_suitable = PV_yearly[(abs(PV_yearly.AUSRICHTUNG) <= 90) & (PV_yearly.available_area > 8) & (PV_yearly.yearly_kWh_m2 > 1000)] "
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2681509"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(PV_suitable)"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"DF_UID 12830.975995\n",
"panelled_area 0.155341\n",
"tilted_area 0.343878\n",
"available_area 0.150138\n",
"yearly_kWh_m2 3.485030\n",
"yearly_PV_kWh 27.433510\n",
"yearly_PV_all_area 60.740117\n",
"NEIGUNG 0.061644\n",
"AUSRICHTUNG 0.005372\n",
"panel_tilt 0.073890\n",
"tilt 0.059563\n",
"tilt_round 0.061638\n",
"aspect_round 0.005393\n",
"area_log 0.005215\n",
"area_log_round 0.005213\n",
"dtype: float64"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_suitable.sum()/1e9"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [
{
"data": {
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" <th>DF_UID</th>\n",
" <th>panelled_area</th>\n",
" <th>tilted_area</th>\n",
" <th>available_area</th>\n",
" <th>yearly_kWh_m2</th>\n",
" <th>yearly_PV_kWh</th>\n",
" <th>yearly_PV_all_area</th>\n",
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" <td>1.513717</td>\n",
" <td>14.976086</td>\n",
" <td>14.976086</td>\n",
" <td>1.533664</td>\n",
" <td>-0.264767</td>\n",
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" <td>0.000182</td>\n",
" <td>1.564211</td>\n",
" <td>0.000182</td>\n",
" <td>1113.613762</td>\n",
" <td>0.027016</td>\n",
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" <td>20.034149</td>\n",
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" <td>20.034149</td>\n",
" <td>20.034149</td>\n",
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],
"text/plain": [
" DF_UID panelled_area tilted_area \\\n",
"area_log_round tilt_round \n",
"0.7 0.0 6.311366e+06 0.000161 1.345483 \n",
" 5.0 5.185035e+06 0.000216 0.794718 \n",
" 10.0 5.277349e+06 0.000217 1.110745 \n",
" 15.0 5.253403e+06 0.000167 1.286099 \n",
" 20.0 5.634215e+06 0.000182 1.564211 \n",
"\n",
" available_area yearly_kWh_m2 yearly_PV_kWh \\\n",
"area_log_round tilt_round \n",
"0.7 0.0 0.000146 1196.726114 0.026089 \n",
" 5.0 0.000216 1126.746486 0.032425 \n",
" 10.0 0.000217 1126.765675 0.032298 \n",
" 15.0 0.000167 1122.605492 0.024562 \n",
" 20.0 0.000182 1113.613762 0.027016 \n",
"\n",
" yearly_PV_all_area NEIGUNG AUSRICHTUNG \\\n",
"area_log_round tilt_round \n",
"0.7 0.0 225.001693 0.608299 -0.285763 \n",
" 5.0 122.661439 5.047209 -0.032425 \n",
" 10.0 171.312716 9.967286 0.559539 \n",
" 15.0 197.858024 14.976086 1.513717 \n",
" 20.0 238.490980 20.034149 2.244052 \n",
"\n",
" panel_tilt tilt aspect_round area_log \n",
"area_log_round tilt_round \n",
"0.7 0.0 18.410320 -2.418045 -0.290222 -0.359284 \n",
" 5.0 5.047209 5.047209 -0.038874 -0.590664 \n",
" 10.0 9.967286 9.967286 0.565373 -0.358124 \n",
" 15.0 14.976086 14.976086 1.533664 -0.264767 \n",
" 20.0 20.034149 20.034149 2.253861 -0.139866 "
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_grouped = PV_yearly.groupby(['area_log_round', 'tilt_round']).mean()\n",
"PV_grouped.head()"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
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"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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_array = (PV_grouped['yearly_PV_kWh']/PV_grouped['tilted_area']).dropna().to_xarray()\n",
"plot_array.coords['area_log_round'] = 10**(plot_array.area_log_round)\n",
"\n",
"plot_array.attrs['long_name'] = 'PV potential per m$^2$ of roof (in kWh/m$^2$)'\n",
"\n",
"plt.figure()\n",
"ax = plt.subplot()\n",
"\n",
"VMIN = 0\n",
"VMAX = 130\n",
"\n",
"plot_array.plot(cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"\n",
"ax.set_yscale('log')\n",
"plt.xlabel('Roof tilt (in degree)') # Roof aspect\n",
"plt.ylabel('Roof area (in $m^2$)')\n",
"plt.ylim(bottom = 22)\n",
"\n",
"#ax.set_xticks([-180, -135, -90, -45, 0, 45, 90, 135, 180])\n",
"#ax.set_xticklabels(['N', 'NW', 'W', 'SW', 'S', 'SE', 'E', 'NE', 'N'])\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig('PV_per_roof_area_tilt_all.png', dpi = 300)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 73,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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_array = (PV_grouped['yearly_PV_kWh']).dropna().to_xarray()\n",
"plot_array.coords['area_log_round'] = 10**(plot_array.area_log_round)\n",
"\n",
"# get logarithmic colorscale\n",
"plot_array = np.log10(plot_array)\n",
"\n",
"plot_array.attrs['long_name'] = 'PV potential per roof'\n",
"plt.figure()\n",
"ax = plt.subplot()\n",
"\n",
"plot_array.plot(cmap = cm_PV)\n",
"ax.set_yscale('log')\n",
"# plt.xlabel('Roof tilt (in degree)')\n",
"plt.ylabel('Roof area (in $m^2$)')\n",
"plt.ylim(bottom = 22)\n",
"\n",
"plt.tight_layout()\n",
"# plt.savefig('panelled_area_unc.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot map of final PV potential"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"PV_suitable = PV_yearly[(PV_yearly.available_area > 15) & (abs(PV_yearly.AUSRICHTUNG) <= 90) ]"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"DF_UID 10158.829370\n",
"panelled_area 0.149538\n",
"tilted_area 0.319593\n",
"available_area 0.144503\n",
"yearly_kWh_m2 2.799437\n",
"yearly_PV_kWh 26.394573\n",
"yearly_PV_all_area 56.446113\n",
"NEIGUNG 0.049822\n",
"AUSRICHTUNG 0.004119\n",
"panel_tilt 0.059117\n",
"tilt_round 0.049648\n",
"aspect_round 0.004139\n",
"dtype: float64"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_suitable.sum()/1e9"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"PV_geo = PV_suitable.merge(ROOFS[['DF_UID', 'XCOORD', 'YCOORD']], on = 'DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"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>panelled_area</th>\n",
" <th>tilted_area</th>\n",
" <th>available_area</th>\n",
" <th>yearly_kWh_m2</th>\n",
" <th>yearly_PV_kWh</th>\n",
" <th>yearly_PV_all_area</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>panel_tilt</th>\n",
" <th>tilt_round</th>\n",
" <th>aspect_round</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>3</td>\n",
" <td>29.414390</td>\n",
" <td>63.437476</td>\n",
" <td>29.414390</td>\n",
" <td>1140.713599</td>\n",
" <td>4563.261613</td>\n",
" <td>9841.502922</td>\n",
" <td>12</td>\n",
" <td>-80.0</td>\n",
" <td>12</td>\n",
" <td>10.0</td>\n",
" <td>-80.0</td>\n",
" <td>621673.977050</td>\n",
" <td>254186.956803</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>10</td>\n",
" <td>109.595655</td>\n",
" <td>183.595871</td>\n",
" <td>109.595655</td>\n",
" <td>1153.542301</td>\n",
" <td>17193.558538</td>\n",
" <td>28802.842038</td>\n",
" <td>44</td>\n",
" <td>-80.0</td>\n",
" <td>44</td>\n",
" <td>40.0</td>\n",
" <td>-80.0</td>\n",
" <td>621694.097061</td>\n",
" <td>254236.884799</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>16</td>\n",
" <td>301.294147</td>\n",
" <td>423.659084</td>\n",
" <td>301.294147</td>\n",
" <td>1162.572217</td>\n",
" <td>47637.563814</td>\n",
" <td>66984.662207</td>\n",
" <td>41</td>\n",
" <td>-80.0</td>\n",
" <td>41</td>\n",
" <td>40.0</td>\n",
" <td>-80.0</td>\n",
" <td>621688.013164</td>\n",
" <td>254208.752395</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>19</td>\n",
" <td>78.423866</td>\n",
" <td>188.787559</td>\n",
" <td>78.423866</td>\n",
" <td>1180.722281</td>\n",
" <td>12593.165641</td>\n",
" <td>30315.172064</td>\n",
" <td>45</td>\n",
" <td>-75.0</td>\n",
" <td>45</td>\n",
" <td>40.0</td>\n",
" <td>-80.0</td>\n",
" <td>621683.647555</td>\n",
" <td>254150.671936</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>28</td>\n",
" <td>59.730691</td>\n",
" <td>169.384428</td>\n",
" <td>59.730691</td>\n",
" <td>1080.538514</td>\n",
" <td>8777.618414</td>\n",
" <td>24891.590159</td>\n",
" <td>42</td>\n",
" <td>-90.0</td>\n",
" <td>42</td>\n",
" <td>40.0</td>\n",
" <td>-90.0</td>\n",
" <td>622433.818107</td>\n",
" <td>254085.510971</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID panelled_area tilted_area available_area yearly_kWh_m2 \\\n",
"0 3 29.414390 63.437476 29.414390 1140.713599 \n",
"1 10 109.595655 183.595871 109.595655 1153.542301 \n",
"2 16 301.294147 423.659084 301.294147 1162.572217 \n",
"3 19 78.423866 188.787559 78.423866 1180.722281 \n",
"4 28 59.730691 169.384428 59.730691 1080.538514 \n",
"\n",
" yearly_PV_kWh yearly_PV_all_area NEIGUNG AUSRICHTUNG panel_tilt \\\n",
"0 4563.261613 9841.502922 12 -80.0 12 \n",
"1 17193.558538 28802.842038 44 -80.0 44 \n",
"2 47637.563814 66984.662207 41 -80.0 41 \n",
"3 12593.165641 30315.172064 45 -75.0 45 \n",
"4 8777.618414 24891.590159 42 -90.0 42 \n",
"\n",
" tilt_round aspect_round XCOORD YCOORD \n",
"0 10.0 -80.0 621673.977050 254186.956803 \n",
"1 40.0 -80.0 621694.097061 254236.884799 \n",
"2 40.0 -80.0 621688.013164 254208.752395 \n",
"3 40.0 -80.0 621683.647555 254150.671936 \n",
"4 40.0 -90.0 622433.818107 254085.510971 "
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_geo.head()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"# get 200x200m pixels\n",
"PIXEL_SIZE = 500\n",
"PV_geo['x_pixel'] = util.round_to_interval(PV_geo.XCOORD, PIXEL_SIZE)\n",
"PV_geo['y_pixel'] = util.round_to_interval(PV_geo.YCOORD, PIXEL_SIZE)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"PV_geo_sum = PV_geo.groupby(['x_pixel', 'y_pixel']).sum()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"PV_geo_array = PV_geo_sum['yearly_PV_kWh'].to_xarray()/1e3"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# NEED TO SELECT ONLY GOOD ROOF SURFACES!!"
]
},
{
"cell_type": "code",
"execution_count": 27,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": [
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\" width=\"700\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# prepare data\n",
"data = PV_geo_array.T.values\n",
"x = PV_geo_array.x_pixel\n",
"y = PV_geo_array.y_pixel\n",
"\n",
"X, Y = np.meshgrid( x, y )\n",
"VMIN = 0\n",
"VMAX = np.percentile(PV_geo_sum['yearly_PV_kWh']/1e3, 90) # this is the 90th percentile of the data\n",
"\n",
"fig = plt.figure(figsize = (7, 4.8)) #\n",
"ax = plt.subplot()\n",
"im = plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"# cb = plt.colorbar(extend = 'max') # get_cbar_extent( data, VMIN, VMAX )\n",
"\n",
"# FORMATTING\n",
"\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"plt.tight_layout()\n",
"\n",
"plt.subplots_adjust(left = 0.03, right=0.82)\n",
"cbar_ax = fig.add_axes([0.85, 0.15, 0.03, 0.7])\n",
"cb = plt.colorbar(im, extend = 'max', cax=cbar_ax)\n",
"cb.set_label('Rooftop PV potential per pixel (MWh)')\n",
"\n",
"plt.show()\n",
"\n",
"plt.savefig('PV_per_pixel_interp.png', dpi = 300)"
]
},
{
"cell_type": "code",
"execution_count": 203,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 6.4, 4.8])"
]
},
"execution_count": 203,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig.get_size_inches()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get average per roof surface"
]
},
{
"cell_type": "code",
"execution_count": 209,
"metadata": {},
"outputs": [],
"source": [
"PV_geo_mean = PV_geo.groupby(['x_pixel', 'y_pixel']).mean()"
]
},
{
"cell_type": "code",
"execution_count": 210,
"metadata": {},
"outputs": [],
"source": [
"PV_geo_mean_array = PV_geo_mean['yearly_PV_kWh'].to_xarray()/1e3"
]
},
{
"cell_type": "code",
"execution_count": 217,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# prepare data\n",
"data = PV_geo_mean_array.T.values\n",
"x = PV_geo_mean_array.x_pixel\n",
"y = PV_geo_mean_array.y_pixel\n",
"\n",
"X, Y = np.meshgrid( x, y )\n",
"VMIN = 0\n",
"VMAX = np.percentile(PV_geo_mean['yearly_PV_kWh']/1e3, 90) # this is the 90th percentile of the data\n",
"\n",
"fig = plt.figure(figsize = (10, 4.8))\n",
"ax = plt.subplot()\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar(extend = 'max') # get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Rooftop PV potential per roof surface (kWh)')\n",
"\n",
"# FORMATTING\n",
"\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Get hourly rose plot"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"# fp = '/work/hyenergy/output/solar_potential/technical_potential/pv_potential_ELM50_1000_dhm25_200_roofs.nc'\n",
"fp = '/scratch/walch/workspace_tilted_irrad/PV_all_interp.nc'\n",
"PV_hourly = xr.open_mfdataset( fp, chunks = {'timestamp' : 1} )\n"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 9639231, timestamp: 146)\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",
" tilted_irradiance (DF_UID, timestamp) float64 dask.array<shape=(9639231, 146), chunksize=(9639231, 1)>\n",
" panelled_area (DF_UID) float64 dask.array<shape=(9639231,), chunksize=(9639231,)>\n",
" tilted_area (DF_UID) float64 dask.array<shape=(9639231,), chunksize=(9639231,)>\n",
" available_area (DF_UID) float64 dask.array<shape=(9639231,), chunksize=(9639231,)>\n",
" efficiency float64 ...\n",
" performance_factor float64 ...\n",
" pv_potential (DF_UID, timestamp) float64 dask.array<shape=(9639231, 146), chunksize=(9639231, 1)>\n",
" yearly_kWh_m2 (DF_UID) float64 dask.array<shape=(9639231,), chunksize=(9639231,)>\n",
" yearly_PV_kWh (DF_UID) float64 dask.array<shape=(9639231,), chunksize=(9639231,)>\n",
" yearly_PV_all_area (DF_UID) float64 dask.array<shape=(9639231,), chunksize=(9639231,)>"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_hourly"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"# get hourly aggregated data\n",
"hourly_dict = {}\n",
"\n",
"for hour in [6, 9, 12, 15]:\n",
" PV_hourly_11h = PV_hourly.sel(timestamp = '2001-06-15 %02d:00' %hour)\n",
"\n",
" irrad_11h = PV_hourly_11h.tilted_irradiance.to_dataframe()\n",
" irrad_11h = irrad_11h.merge(PV_yearly[['DF_UID', 'AUSRICHTUNG', 'tilt', 'panel_tilt']], left_index = True, right_on = 'DF_UID')\n",
"\n",
" ASP_ROUND = 10\n",
" TILT_ROUND = 10\n",
" irrad_11h['tilt_round'] = util.round_to_interval(irrad_11h.tilt, TILT_ROUND)\n",
" irrad_11h['aspect_round'] = util.round_to_interval(irrad_11h.AUSRICHTUNG, ASP_ROUND)\n",
"\n",
" irrad_11h_mean = irrad_11h.groupby(['tilt_round', 'aspect_round']).mean()\n",
" \n",
" hourly_dict['%02dh' %(hour + 2)] = irrad_11h_mean"
]
},
{
"cell_type": "code",
"execution_count": 38,
"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>tilted_irradiance</th>\n",
" <th>DF_UID</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>NEIGUNG</th>\n",
" <th>panel_tilt</th>\n",
" </tr>\n",
" <tr>\n",
" <th>tilt_round</th>\n",
" <th>aspect_round</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 rowspan=\"5\" valign=\"top\">0.0</th>\n",
" <th>-180.0</th>\n",
" <td>383.024266</td>\n",
" <td>4.858900e+06</td>\n",
" <td>-177.433418</td>\n",
" <td>2.957443</td>\n",
" <td>2.957443</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-170.0</th>\n",
" <td>380.561515</td>\n",
" <td>5.053094e+06</td>\n",
" <td>-170.131572</td>\n",
" <td>2.943535</td>\n",
" <td>2.943535</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-160.0</th>\n",
" <td>378.731444</td>\n",
" <td>4.942410e+06</td>\n",
" <td>-159.867713</td>\n",
" <td>2.946206</td>\n",
" <td>2.946206</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-150.0</th>\n",
" <td>375.228052</td>\n",
" <td>4.856349e+06</td>\n",
" <td>-150.058638</td>\n",
" <td>2.927491</td>\n",
" <td>2.927491</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-140.0</th>\n",
" <td>372.776440</td>\n",
" <td>4.951183e+06</td>\n",
" <td>-140.081265</td>\n",
" <td>2.911835</td>\n",
" <td>2.911835</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" tilted_irradiance DF_UID AUSRICHTUNG \\\n",
"tilt_round aspect_round \n",
"0.0 -180.0 383.024266 4.858900e+06 -177.433418 \n",
" -170.0 380.561515 5.053094e+06 -170.131572 \n",
" -160.0 378.731444 4.942410e+06 -159.867713 \n",
" -150.0 375.228052 4.856349e+06 -150.058638 \n",
" -140.0 372.776440 4.951183e+06 -140.081265 \n",
"\n",
" NEIGUNG panel_tilt \n",
"tilt_round aspect_round \n",
"0.0 -180.0 2.957443 2.957443 \n",
" -170.0 2.943535 2.943535 \n",
" -160.0 2.946206 2.946206 \n",
" -150.0 2.927491 2.927491 \n",
" -140.0 2.911835 2.911835 "
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"irrad_11h_mean.head()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"1280\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# matplotlib.rcParams.update({'font.size': 12})\n",
"\n",
"fig = plt.figure(figsize = (12.8, 4.8)) # \n",
"i = 1\n",
"axes = []\n",
"\n",
"for label, array in hourly_dict.items():\n",
" plot_var = array['tilted_irradiance']\n",
" plot_array = plot_var.to_xarray()\n",
"\n",
" plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
" # prepare data\n",
" data = plot_array.values\n",
" # theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
" theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
" tilts = plot_array.tilt_round\n",
"\n",
" X, Y = np.meshgrid( theta, tilts )\n",
"\n",
" # SET PROPERTIES\n",
" VMIN = 50\n",
" VMAX = 700\n",
"\n",
" ax = plt.subplot(1,4,i,projection='polar')\n",
" ax.set_theta_zero_location('S')\n",
" ax.set_theta_direction(-1)\n",
" \n",
" ax.set_rlabel_position(210) # get radial labels away from plotted line\n",
" ax.set_xticklabels( [] )\n",
"\n",
" im = plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
" ax.text(rad(125), 100, label, fontsize = 18)\n",
" \n",
" i += 1\n",
" axes.append(ax)\n",
"\n",
"plt.tight_layout()\n",
"for ax in axes:\n",
" # FORMATTING\n",
" xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
" yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
" #ax.set_xticklabels( [] ) # xticks\n",
" ax.set_yticklabels( yticks ) # \n",
" \n",
"#plt.subplots_adjust(right=0.8)\n",
"#cbar_ax = fig.add_axes([0.85, 0.15, 0.03, 0.7])\n",
"plt.subplots_adjust(right=0.9, left = 0.05)\n",
"cbar_ax = fig.add_axes([0.92, 0.2, 0.02, 0.6])\n",
"\n",
"cb = plt.colorbar(im, cax=cbar_ax)\n",
"# cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Average solar radiation per roof ($kWh/m^2$)')\n",
"\n",
"# \n",
"plt.show()\n",
"plt.savefig('Irrad_hourly_slope_azimuth_row.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Get hourly time plot"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"#for grouping by direction\n",
"flat_roofs = ROOFS[ROOFS['NEIGUNG'] == 0]\n",
"S_roofs = ROOFS[(ROOFS['NEIGUNG'] > 0) & (abs(ROOFS['AUSRICHTUNG']) <= 45)]\n",
"W_roofs = ROOFS[(ROOFS['AUSRICHTUNG'] <= 135) & (ROOFS['AUSRICHTUNG'] > 45)]\n",
"E_roofs = ROOFS[(ROOFS['AUSRICHTUNG'] < -45) & (ROOFS['AUSRICHTUNG'] >= -135)]\n",
"N_roofs = ROOFS[abs(ROOFS['AUSRICHTUNG']) > 135]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# creation of PV_flat in get_hourly_mean.py"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"PV_flat = xr.open_dataset('/scratch/walch/scratch/PV_flat_interp.nc')\n",
"PV_S = xr.open_dataset('/scratch/walch/scratch/PV_S_interp.nc')\n",
"PV_E = xr.open_dataset('/scratch/walch/scratch/PV_E_interp.nc')\n",
"PV_W = xr.open_dataset('/scratch/walch/scratch/PV_W_interp.nc')\n",
"PV_N = xr.open_dataset('/scratch/walch/scratch/PV_N_interp.nc')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (timestamp: 146)\n",
"Coordinates:\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" tilted_irradiance (timestamp) float64 ...\n",
" panelled_area float64 ...\n",
" tilted_area float64 ...\n",
" available_area float64 ...\n",
" efficiency float64 ...\n",
" performance_factor float64 ...\n",
" pv_potential (timestamp) float64 ...\n",
" yearly_kWh_m2 float64 ...\n",
" yearly_PV_kWh float64 ...\n",
" yearly_PV_all_area float64 ..."
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_flat"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"def get_plottable_series(ds, var):\n",
" # Manipulate time stamps; choose hours from 3-20h (18 hours in total)\n",
" month = ds.timestamp.dt.month\n",
" hour = ds.timestamp.dt.hour\n",
" dt_index = (month - 1) * 18 + hour - 3\n",
" \n",
" datetimeindex = np.zeros(18*12)\n",
" datetimeindex[dt_index] = ds[var].fillna(0).values\n",
" return datetimeindex"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"flat_mean = get_plottable_series(PV_flat, 'pv_potential')\n",
"S_mean = get_plottable_series(PV_S, 'pv_potential')\n",
"E_mean = get_plottable_series(PV_E, 'pv_potential')\n",
"W_mean = get_plottable_series(PV_W, 'pv_potential')\n",
"N_mean = get_plottable_series(PV_N, 'pv_potential')"
]
},
{
"cell_type": "code",
"execution_count": 24,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
],
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\" width=\"1200\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (12, 3))\n",
"ax = plt.subplot()\n",
"\n",
"plt.plot(flat_mean, label = 'Flat roofs')\n",
"plt.plot(S_mean, label = 'South-facing roofs')\n",
"plt.plot(W_mean, label = 'West-facing roofs')\n",
"plt.plot(E_mean, label = 'East_facing roofs')\n",
"# plt.plot(N_mean, label = 'North-facing roofs')\n",
"\n",
"ax.set_xticks(list(range(9, 18*12, 18)))\n",
"ax.set_xticklabels(calendar.month_abbr[1:])\n",
"ax.set_ylabel('Mean RPV potential (kWh)')\n",
"\n",
"plt.legend()\n",
"plt.show()\n",
"plt.savefig('PV_aspect_hourly_interp.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot partly shading factors"
]
},
{
"cell_type": "code",
"execution_count": 148,
"metadata": {},
"outputs": [],
"source": [
"partly_shading = pd.read_csv(os.path.join(path, 'GVA_shading.csv'))"
]
},
{
"cell_type": "code",
"execution_count": 149,
"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>non_null_cells</th>\n",
" <th>n_cells</th>\n",
" <th>fully_shaded_ratio</th>\n",
" <th>mean_12_13h</th>\n",
" <th>mean_1_16h</th>\n",
" <th>mean_11_10h</th>\n",
" <th>mean_7_15h</th>\n",
" <th>mean_6_18h</th>\n",
" <th>mean_6_10h</th>\n",
" <th>...</th>\n",
" <th>mean_11_12h</th>\n",
" <th>mean_9_11h</th>\n",
" <th>mean_5_6h</th>\n",
" <th>mean_8_16h</th>\n",
" <th>mean_9_9h</th>\n",
" <th>mean_2_16h</th>\n",
" <th>mean_5_10h</th>\n",
" <th>mean_4_8h</th>\n",
" <th>mean_8_12h</th>\n",
" <th>mean_12_12h</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4817081</td>\n",
" <td>406</td>\n",
" <td>406</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4817082</td>\n",
" <td>432</td>\n",
" <td>432</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4817083</td>\n",
" <td>423</td>\n",
" <td>423</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4817084</td>\n",
" <td>419</td>\n",
" <td>419</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4817085</td>\n",
" <td>535</td>\n",
" <td>535</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 150 columns</p>\n",
"</div>"
],
"text/plain": [
" DF_UID non_null_cells n_cells fully_shaded_ratio mean_12_13h \\\n",
"0 4817081 406 406 0.0 1.0 \n",
"1 4817082 432 432 0.0 1.0 \n",
"2 4817083 423 423 0.0 1.0 \n",
"3 4817084 419 419 0.0 1.0 \n",
"4 4817085 535 535 0.0 1.0 \n",
"\n",
" mean_1_16h mean_11_10h mean_7_15h mean_6_18h mean_6_10h ... \\\n",
"0 1.0 1.0 1.0 1.0 1.0 ... \n",
"1 1.0 1.0 1.0 1.0 1.0 ... \n",
"2 1.0 1.0 1.0 1.0 1.0 ... \n",
"3 1.0 1.0 1.0 1.0 1.0 ... \n",
"4 1.0 1.0 1.0 1.0 1.0 ... \n",
"\n",
" mean_11_12h mean_9_11h mean_5_6h mean_8_16h mean_9_9h mean_2_16h \\\n",
"0 1.0 1.0 1.0 1.0 1.0 1.0 \n",
"1 1.0 1.0 1.0 1.0 1.0 1.0 \n",
"2 1.0 1.0 1.0 1.0 1.0 1.0 \n",
"3 1.0 1.0 1.0 1.0 1.0 1.0 \n",
"4 1.0 1.0 1.0 1.0 1.0 1.0 \n",
"\n",
" mean_5_10h mean_4_8h mean_8_12h mean_12_12h \n",
"0 1.0 1.0 1.0 1.0 \n",
"1 1.0 1.0 1.0 1.0 \n",
"2 1.0 1.0 1.0 1.0 \n",
"3 1.0 1.0 1.0 1.0 \n",
"4 1.0 1.0 1.0 1.0 \n",
"\n",
"[5 rows x 150 columns]"
]
},
"execution_count": 149,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading.head()"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {},
"outputs": [],
"source": [
"ROOF_fp = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
"ROOFS = pd.read_csv( ROOF_fp, usecols = ['DF_UID', 'NEIGUNG', 'AUSRICHTUNG'])"
]
},
{
"cell_type": "code",
"execution_count": 151,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_merged = partly_shading.merge(ROOFS, on = 'DF_UID', how = 'left')\n",
"partly_shading_merged['aspect_cat'] = util.round_to_interval(partly_shading_merged.AUSRICHTUNG, 45)\n",
"partly_shading_merged['flat'] = (partly_shading_merged.NEIGUNG == 0).astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_aspect = partly_shading_merged.groupby(['aspect_cat', 'flat']).mean()"
]
},
{
"cell_type": "code",
"execution_count": 153,
"metadata": {},
"outputs": [
{
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" <td>0.730252</td>\n",
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" <td>0.801819</td>\n",
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],
"text/plain": [
" DF_UID non_null_cells n_cells fully_shaded_ratio \\\n",
"aspect_cat flat \n",
"-180.0 0 4.993302e+06 158.077288 185.537782 0.179879 \n",
"-135.0 0 4.994269e+06 181.465586 206.086624 0.162526 \n",
"-90.0 0 4.997129e+06 183.197959 202.509245 0.119219 \n",
"-45.0 0 4.994005e+06 210.310789 226.529867 0.095645 \n",
" 0.0 0 4.995661e+06 181.225939 197.323257 0.091028 \n",
" 1 5.019184e+06 712.368211 863.707915 0.272912 \n",
" 45.0 0 4.994448e+06 177.785046 194.839825 0.106066 \n",
" 90.0 0 4.997339e+06 181.774075 204.110460 0.141516 \n",
" 135.0 0 4.993194e+06 199.049620 225.580633 0.170654 \n",
" 180.0 0 4.995761e+06 163.105512 188.720646 0.177021 \n",
"\n",
" mean_12_13h mean_1_16h mean_11_10h mean_7_15h mean_6_18h \\\n",
"aspect_cat flat \n",
"-180.0 0 0.338088 0.174562 0.493757 0.930108 0.556608 \n",
"-135.0 0 0.345568 0.146321 0.621714 0.908491 0.327716 \n",
"-90.0 0 0.608155 0.128944 0.804608 0.868574 0.250422 \n",
"-45.0 0 0.727760 0.140704 0.824243 0.901830 0.271675 \n",
" 0.0 0 0.730022 0.222491 0.816283 0.925643 0.477815 \n",
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" 45.0 0 0.730252 0.259208 0.801819 0.926155 0.596411 \n",
" 90.0 0 0.695475 0.267046 0.718889 0.937451 0.627073 \n",
" 135.0 0 0.445312 0.246025 0.512267 0.939806 0.638248 \n",
" 180.0 0 0.318136 0.138032 0.451868 0.939925 0.626681 \n",
"\n",
" mean_6_10h ... mean_5_6h mean_8_16h mean_9_9h \\\n",
"aspect_cat flat ... \n",
"-180.0 0 0.991755 ... 0.750209 0.809460 0.911901 \n",
"-135.0 0 0.993598 ... 0.758851 0.672230 0.928810 \n",
"-90.0 0 0.992749 ... 0.768209 0.560418 0.931163 \n",
"-45.0 0 0.992502 ... 0.758791 0.678932 0.930720 \n",
" 0.0 0 0.991439 ... 0.701819 0.821921 0.925462 \n",
" 1 0.979352 ... 0.602176 0.706695 0.860095 \n",
" 45.0 0 0.991372 ... 0.462863 0.819148 0.916116 \n",
" 90.0 0 0.982635 ... 0.353849 0.842645 0.865678 \n",
" 135.0 0 0.987406 ... 0.479325 0.841885 0.834990 \n",
" 180.0 0 0.987903 ... 0.740811 0.840279 0.868934 \n",
"\n",
" mean_2_16h mean_5_10h mean_4_8h mean_8_12h mean_12_12h \\\n",
"aspect_cat flat \n",
"-180.0 0 0.283929 0.986125 0.891151 0.984087 0.398522 \n",
"-135.0 0 0.217831 0.990168 0.893924 0.988597 0.448381 \n",
"-90.0 0 0.195563 0.989966 0.896977 0.990562 0.727757 \n",
"-45.0 0 0.231164 0.989172 0.892655 0.992485 0.774935 \n",
" 0.0 0 0.471460 0.987501 0.878383 0.991822 0.778349 \n",
" 1 0.358873 0.971356 0.788165 0.983836 0.639975 \n",
" 45.0 0 0.498572 0.986931 0.817927 0.991655 0.765164 \n",
" 90.0 0 0.517391 0.975865 0.704622 0.992669 0.740856 \n",
" 135.0 0 0.504871 0.980826 0.758640 0.992761 0.517650 \n",
" 180.0 0 0.384504 0.980289 0.865063 0.984108 0.378119 \n",
"\n",
" NEIGUNG AUSRICHTUNG \n",
"aspect_cat flat \n",
"-180.0 0 26.834537 -167.145521 \n",
"-135.0 0 26.841916 -137.942114 \n",
"-90.0 0 26.592286 -86.575983 \n",
"-45.0 0 26.841555 -47.448479 \n",
" 0.0 0 26.721489 3.263427 \n",
" 1 0.000000 0.000000 \n",
" 45.0 0 27.123837 42.056302 \n",
" 90.0 0 26.649585 93.347714 \n",
" 135.0 0 26.727389 132.405514 \n",
" 180.0 0 26.493966 169.006034 \n",
"\n",
"[10 rows x 152 columns]"
]
},
"execution_count": 153,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_aspect"
]
},
{
"cell_type": "code",
"execution_count": 154,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/pandas/core/indexing.py:630: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" self.obj[item_labels[indexer[info_axis]]] = value\n"
]
}
],
"source": [
"# convert timestamps\n",
"partly_shading_gr = partly_shading_aspect[[]]\n",
"\n",
"for col in partly_shading_aspect.columns:\n",
" col_parts = col.split('_')\n",
" if col_parts[0] == 'mean':\n",
" timestamp = pd.to_datetime('2001-%s-15 %s' %(col_parts[1], col_parts[2]))\n",
" partly_shading_gr.loc[:, timestamp ] = partly_shading_aspect[ col ]\n",
" # bias_categories.rename({ col : timestamp }, axis = 1)\n",
" \n",
"partly_shading_gr = partly_shading_gr.sort_index(axis = 1)"
]
},
{
"cell_type": "code",
"execution_count": 155,
"metadata": {},
"outputs": [
{
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" <th>2001-12-15 10:00:00</th>\n",
" <th>2001-12-15 11:00:00</th>\n",
" <th>2001-12-15 12:00:00</th>\n",
" <th>2001-12-15 13:00:00</th>\n",
" <th>2001-12-15 14:00:00</th>\n",
" <th>2001-12-15 15:00:00</th>\n",
" </tr>\n",
" <tr>\n",
" <th>aspect_cat</th>\n",
" <th>flat</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>-180.0</th>\n",
" <th>0</th>\n",
" <td>0.246308</td>\n",
" <td>0.356141</td>\n",
" <td>0.393322</td>\n",
" <td>0.458002</td>\n",
" <td>0.465479</td>\n",
" <td>0.402245</td>\n",
" <td>0.355279</td>\n",
" <td>0.262129</td>\n",
" <td>0.174562</td>\n",
" <td>0.270830</td>\n",
" <td>...</td>\n",
" <td>0.347649</td>\n",
" <td>0.243345</td>\n",
" <td>0.243995</td>\n",
" <td>0.342802</td>\n",
" <td>0.364443</td>\n",
" <td>0.410389</td>\n",
" <td>0.398522</td>\n",
" <td>0.338088</td>\n",
" <td>0.297595</td>\n",
" <td>0.212063</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-135.0</th>\n",
" <th>0</th>\n",
" <td>0.413039</td>\n",
" <td>0.551143</td>\n",
" <td>0.504101</td>\n",
" <td>0.564946</td>\n",
" <td>0.551781</td>\n",
" <td>0.430766</td>\n",
" <td>0.315967</td>\n",
" <td>0.231524</td>\n",
" <td>0.146321</td>\n",
" <td>0.384331</td>\n",
" <td>...</td>\n",
" <td>0.308651</td>\n",
" <td>0.211634</td>\n",
" <td>0.389770</td>\n",
" <td>0.532155</td>\n",
" <td>0.463067</td>\n",
" <td>0.501191</td>\n",
" <td>0.448381</td>\n",
" <td>0.345568</td>\n",
" <td>0.265238</td>\n",
" <td>0.184879</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-90.0</th>\n",
" <th>0</th>\n",
" <td>0.496800</td>\n",
" <td>0.668666</td>\n",
" <td>0.746531</td>\n",
" <td>0.787683</td>\n",
" <td>0.788584</td>\n",
" <td>0.696029</td>\n",
" <td>0.432124</td>\n",
" <td>0.251331</td>\n",
" <td>0.128944</td>\n",
" <td>0.417814</td>\n",
" <td>...</td>\n",
" <td>0.414558</td>\n",
" <td>0.215263</td>\n",
" <td>0.493354</td>\n",
" <td>0.655850</td>\n",
" <td>0.723823</td>\n",
" <td>0.757538</td>\n",
" <td>0.727757</td>\n",
" <td>0.608155</td>\n",
" <td>0.333553</td>\n",
" <td>0.180893</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-45.0</th>\n",
" <th>0</th>\n",
" <td>0.500101</td>\n",
" <td>0.686493</td>\n",
" <td>0.772652</td>\n",
" <td>0.807209</td>\n",
" <td>0.812059</td>\n",
" <td>0.779190</td>\n",
" <td>0.680966</td>\n",
" <td>0.464875</td>\n",
" <td>0.140704</td>\n",
" <td>0.397065</td>\n",
" <td>...</td>\n",
" <td>0.668739</td>\n",
" <td>0.339439</td>\n",
" <td>0.501056</td>\n",
" <td>0.674021</td>\n",
" <td>0.751095</td>\n",
" <td>0.780841</td>\n",
" <td>0.774935</td>\n",
" <td>0.727760</td>\n",
" <td>0.594390</td>\n",
" <td>0.266222</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">0.0</th>\n",
" <th>0</th>\n",
" <td>0.482739</td>\n",
" <td>0.665233</td>\n",
" <td>0.761135</td>\n",
" <td>0.808481</td>\n",
" <td>0.813834</td>\n",
" <td>0.780090</td>\n",
" <td>0.696021</td>\n",
" <td>0.536989</td>\n",
" <td>0.222491</td>\n",
" <td>0.323173</td>\n",
" <td>...</td>\n",
" <td>0.686910</td>\n",
" <td>0.498052</td>\n",
" <td>0.483296</td>\n",
" <td>0.653582</td>\n",
" <td>0.743701</td>\n",
" <td>0.785227</td>\n",
" <td>0.778349</td>\n",
" <td>0.730022</td>\n",
" <td>0.621029</td>\n",
" <td>0.418207</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.332305</td>\n",
" <td>0.514297</td>\n",
" <td>0.621077</td>\n",
" <td>0.675059</td>\n",
" <td>0.684923</td>\n",
" <td>0.649036</td>\n",
" <td>0.562448</td>\n",
" <td>0.403627</td>\n",
" <td>0.115062</td>\n",
" <td>0.243384</td>\n",
" <td>...</td>\n",
" <td>0.553310</td>\n",
" <td>0.355012</td>\n",
" <td>0.340198</td>\n",
" <td>0.500598</td>\n",
" <td>0.595657</td>\n",
" <td>0.642825</td>\n",
" <td>0.639975</td>\n",
" <td>0.591845</td>\n",
" <td>0.483081</td>\n",
" <td>0.285518</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45.0</th>\n",
" <th>0</th>\n",
" <td>0.333508</td>\n",
" <td>0.631253</td>\n",
" <td>0.745247</td>\n",
" <td>0.790237</td>\n",
" <td>0.798430</td>\n",
" <td>0.775599</td>\n",
" <td>0.706195</td>\n",
" <td>0.543803</td>\n",
" <td>0.259208</td>\n",
" <td>0.170674</td>\n",
" <td>...</td>\n",
" <td>0.697201</td>\n",
" <td>0.494154</td>\n",
" <td>0.424365</td>\n",
" <td>0.617824</td>\n",
" <td>0.723227</td>\n",
" <td>0.764353</td>\n",
" <td>0.765164</td>\n",
" <td>0.730252</td>\n",
" <td>0.631550</td>\n",
" <td>0.415520</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90.0</th>\n",
" <th>0</th>\n",
" <td>0.180083</td>\n",
" <td>0.335288</td>\n",
" <td>0.610530</td>\n",
" <td>0.758749</td>\n",
" <td>0.781086</td>\n",
" <td>0.752968</td>\n",
" <td>0.693522</td>\n",
" <td>0.539631</td>\n",
" <td>0.267046</td>\n",
" <td>0.139088</td>\n",
" <td>...</td>\n",
" <td>0.686998</td>\n",
" <td>0.497834</td>\n",
" <td>0.192318</td>\n",
" <td>0.321676</td>\n",
" <td>0.587563</td>\n",
" <td>0.740188</td>\n",
" <td>0.740856</td>\n",
" <td>0.695475</td>\n",
" <td>0.621103</td>\n",
" <td>0.420172</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135.0</th>\n",
" <th>0</th>\n",
" <td>0.171693</td>\n",
" <td>0.252938</td>\n",
" <td>0.384112</td>\n",
" <td>0.540171</td>\n",
" <td>0.594890</td>\n",
" <td>0.548253</td>\n",
" <td>0.631610</td>\n",
" <td>0.501903</td>\n",
" <td>0.246025</td>\n",
" <td>0.146543</td>\n",
" <td>...</td>\n",
" <td>0.621964</td>\n",
" <td>0.459416</td>\n",
" <td>0.174596</td>\n",
" <td>0.245757</td>\n",
" <td>0.353397</td>\n",
" <td>0.505099</td>\n",
" <td>0.517650</td>\n",
" <td>0.445312</td>\n",
" <td>0.518542</td>\n",
" <td>0.366573</td>\n",
" </tr>\n",
" <tr>\n",
" <th>180.0</th>\n",
" <th>0</th>\n",
" <td>0.167373</td>\n",
" <td>0.265775</td>\n",
" <td>0.340348</td>\n",
" <td>0.428424</td>\n",
" <td>0.445932</td>\n",
" <td>0.394872</td>\n",
" <td>0.385029</td>\n",
" <td>0.260580</td>\n",
" <td>0.138032</td>\n",
" <td>0.148307</td>\n",
" <td>...</td>\n",
" <td>0.375049</td>\n",
" <td>0.233141</td>\n",
" <td>0.167781</td>\n",
" <td>0.255657</td>\n",
" <td>0.310447</td>\n",
" <td>0.381943</td>\n",
" <td>0.378119</td>\n",
" <td>0.318136</td>\n",
" <td>0.291999</td>\n",
" <td>0.176498</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>10 rows × 146 columns</p>\n",
"</div>"
],
"text/plain": [
" 2001-01-15 08:00:00 2001-01-15 09:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.246308 0.356141 \n",
"-135.0 0 0.413039 0.551143 \n",
"-90.0 0 0.496800 0.668666 \n",
"-45.0 0 0.500101 0.686493 \n",
" 0.0 0 0.482739 0.665233 \n",
" 1 0.332305 0.514297 \n",
" 45.0 0 0.333508 0.631253 \n",
" 90.0 0 0.180083 0.335288 \n",
" 135.0 0 0.171693 0.252938 \n",
" 180.0 0 0.167373 0.265775 \n",
"\n",
" 2001-01-15 10:00:00 2001-01-15 11:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.393322 0.458002 \n",
"-135.0 0 0.504101 0.564946 \n",
"-90.0 0 0.746531 0.787683 \n",
"-45.0 0 0.772652 0.807209 \n",
" 0.0 0 0.761135 0.808481 \n",
" 1 0.621077 0.675059 \n",
" 45.0 0 0.745247 0.790237 \n",
" 90.0 0 0.610530 0.758749 \n",
" 135.0 0 0.384112 0.540171 \n",
" 180.0 0 0.340348 0.428424 \n",
"\n",
" 2001-01-15 12:00:00 2001-01-15 13:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.465479 0.402245 \n",
"-135.0 0 0.551781 0.430766 \n",
"-90.0 0 0.788584 0.696029 \n",
"-45.0 0 0.812059 0.779190 \n",
" 0.0 0 0.813834 0.780090 \n",
" 1 0.684923 0.649036 \n",
" 45.0 0 0.798430 0.775599 \n",
" 90.0 0 0.781086 0.752968 \n",
" 135.0 0 0.594890 0.548253 \n",
" 180.0 0 0.445932 0.394872 \n",
"\n",
" 2001-01-15 14:00:00 2001-01-15 15:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.355279 0.262129 \n",
"-135.0 0 0.315967 0.231524 \n",
"-90.0 0 0.432124 0.251331 \n",
"-45.0 0 0.680966 0.464875 \n",
" 0.0 0 0.696021 0.536989 \n",
" 1 0.562448 0.403627 \n",
" 45.0 0 0.706195 0.543803 \n",
" 90.0 0 0.693522 0.539631 \n",
" 135.0 0 0.631610 0.501903 \n",
" 180.0 0 0.385029 0.260580 \n",
"\n",
" 2001-01-15 16:00:00 2001-02-15 07:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.174562 0.270830 \n",
"-135.0 0 0.146321 0.384331 \n",
"-90.0 0 0.128944 0.417814 \n",
"-45.0 0 0.140704 0.397065 \n",
" 0.0 0 0.222491 0.323173 \n",
" 1 0.115062 0.243384 \n",
" 45.0 0 0.259208 0.170674 \n",
" 90.0 0 0.267046 0.139088 \n",
" 135.0 0 0.246025 0.146543 \n",
" 180.0 0 0.138032 0.148307 \n",
"\n",
" ... 2001-11-15 14:00:00 \\\n",
"aspect_cat flat ... \n",
"-180.0 0 ... 0.347649 \n",
"-135.0 0 ... 0.308651 \n",
"-90.0 0 ... 0.414558 \n",
"-45.0 0 ... 0.668739 \n",
" 0.0 0 ... 0.686910 \n",
" 1 ... 0.553310 \n",
" 45.0 0 ... 0.697201 \n",
" 90.0 0 ... 0.686998 \n",
" 135.0 0 ... 0.621964 \n",
" 180.0 0 ... 0.375049 \n",
"\n",
" 2001-11-15 15:00:00 2001-12-15 08:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.243345 0.243995 \n",
"-135.0 0 0.211634 0.389770 \n",
"-90.0 0 0.215263 0.493354 \n",
"-45.0 0 0.339439 0.501056 \n",
" 0.0 0 0.498052 0.483296 \n",
" 1 0.355012 0.340198 \n",
" 45.0 0 0.494154 0.424365 \n",
" 90.0 0 0.497834 0.192318 \n",
" 135.0 0 0.459416 0.174596 \n",
" 180.0 0 0.233141 0.167781 \n",
"\n",
" 2001-12-15 09:00:00 2001-12-15 10:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.342802 0.364443 \n",
"-135.0 0 0.532155 0.463067 \n",
"-90.0 0 0.655850 0.723823 \n",
"-45.0 0 0.674021 0.751095 \n",
" 0.0 0 0.653582 0.743701 \n",
" 1 0.500598 0.595657 \n",
" 45.0 0 0.617824 0.723227 \n",
" 90.0 0 0.321676 0.587563 \n",
" 135.0 0 0.245757 0.353397 \n",
" 180.0 0 0.255657 0.310447 \n",
"\n",
" 2001-12-15 11:00:00 2001-12-15 12:00:00 \\\n",
"aspect_cat flat \n",
"-180.0 0 0.410389 0.398522 \n",
"-135.0 0 0.501191 0.448381 \n",
"-90.0 0 0.757538 0.727757 \n",
"-45.0 0 0.780841 0.774935 \n",
" 0.0 0 0.785227 0.778349 \n",
" 1 0.642825 0.639975 \n",
" 45.0 0 0.764353 0.765164 \n",
" 90.0 0 0.740188 0.740856 \n",
" 135.0 0 0.505099 0.517650 \n",
" 180.0 0 0.381943 0.378119 \n",
"\n",
" 2001-12-15 13:00:00 2001-12-15 14:00:00 2001-12-15 15:00:00 \n",
"aspect_cat flat \n",
"-180.0 0 0.338088 0.297595 0.212063 \n",
"-135.0 0 0.345568 0.265238 0.184879 \n",
"-90.0 0 0.608155 0.333553 0.180893 \n",
"-45.0 0 0.727760 0.594390 0.266222 \n",
" 0.0 0 0.730022 0.621029 0.418207 \n",
" 1 0.591845 0.483081 0.285518 \n",
" 45.0 0 0.730252 0.631550 0.415520 \n",
" 90.0 0 0.695475 0.621103 0.420172 \n",
" 135.0 0 0.445312 0.518542 0.366573 \n",
" 180.0 0 0.318136 0.291999 0.176498 \n",
"\n",
"[10 rows x 146 columns]"
]
},
"execution_count": 155,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_gr"
]
},
{
"cell_type": "code",
"execution_count": 156,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_3d = get_3d_df( partly_shading_gr )"
]
},
{
"cell_type": "code",
"execution_count": 157,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (aspect_cat: 9, flat: 2, timestamp: 146)\n",
"Coordinates:\n",
" * aspect_cat (aspect_cat) float64 -180.0 -135.0 -90.0 ... 135.0 180.0\n",
" * flat (flat) int64 0 1\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" partly_shading (timestamp, aspect_cat, flat) float64 0.2463 nan ... nan"
]
},
"execution_count": 157,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_3d"
]
},
{
"cell_type": "code",
"execution_count": 158,
"metadata": {},
"outputs": [],
"source": [
"partly_shading_draw = partly_shading_3d.sel(timestamp = '2001-06-15')"
]
},
{
"cell_type": "code",
"execution_count": 159,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (aspect_cat: 9, flat: 2, timestamp: 16)\n",
"Coordinates:\n",
" * aspect_cat (aspect_cat) float64 -180.0 -135.0 -90.0 ... 135.0 180.0\n",
" * flat (flat) int64 0 1\n",
" * timestamp (timestamp) datetime64[ns] 2001-06-15T04:00:00 ... 2001-06-15T19:00:00\n",
"Data variables:\n",
" partly_shading (timestamp, aspect_cat, flat) float64 0.3798 nan ... nan"
]
},
"execution_count": 159,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_draw"
]
},
{
"cell_type": "code",
"execution_count": 160,
"metadata": {},
"outputs": [],
"source": [
"hour = partly_shading_draw.timestamp.dt.hour.values"
]
},
{
"cell_type": "code",
"execution_count": 161,
"metadata": {},
"outputs": [],
"source": [
"plot_data = pd.DataFrame(data = [] , index = hour)\n",
"plot_data['flat'] = partly_shading_draw.sel(flat = 1, aspect_cat = 0 ).partly_shading.values\n",
"plot_data['east'] = partly_shading_draw.sel(flat = 0, aspect_cat =-90).partly_shading.values\n",
"plot_data['south']= partly_shading_draw.sel(flat = 0, aspect_cat = 0 ).partly_shading.values\n",
"plot_data['west'] = partly_shading_draw.sel(flat = 0, aspect_cat = 90).partly_shading.values"
]
},
{
"cell_type": "code",
"execution_count": 162,
"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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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>flat</th>\n",
" <th>east</th>\n",
" <th>south</th>\n",
" <th>west</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.223466</td>\n",
" <td>0.383977</td>\n",
" <td>0.196847</td>\n",
" <td>0.133676</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>0.459258</td>\n",
" <td>0.643969</td>\n",
" <td>0.440917</td>\n",
" <td>0.225185</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>0.637347</td>\n",
" <td>0.793555</td>\n",
" <td>0.740452</td>\n",
" <td>0.413082</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>0.763911</td>\n",
" <td>0.882985</td>\n",
" <td>0.861961</td>\n",
" <td>0.679480</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>0.853531</td>\n",
" <td>0.934456</td>\n",
" <td>0.924087</td>\n",
" <td>0.853135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>0.921642</td>\n",
" <td>0.969502</td>\n",
" <td>0.962086</td>\n",
" <td>0.931204</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>0.979352</td>\n",
" <td>0.992749</td>\n",
" <td>0.991439</td>\n",
" <td>0.982635</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>0.995598</td>\n",
" <td>0.998206</td>\n",
" <td>0.997954</td>\n",
" <td>0.998281</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>0.995596</td>\n",
" <td>0.997399</td>\n",
" <td>0.998227</td>\n",
" <td>0.998169</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>0.980768</td>\n",
" <td>0.987059</td>\n",
" <td>0.992588</td>\n",
" <td>0.993814</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>0.925868</td>\n",
" <td>0.943482</td>\n",
" <td>0.965572</td>\n",
" <td>0.972337</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>0.858680</td>\n",
" <td>0.872076</td>\n",
" <td>0.927309</td>\n",
" <td>0.938835</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>0.772145</td>\n",
" <td>0.705173</td>\n",
" <td>0.868116</td>\n",
" <td>0.885704</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>0.640910</td>\n",
" <td>0.447645</td>\n",
" <td>0.745097</td>\n",
" <td>0.792430</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>0.462049</td>\n",
" <td>0.250422</td>\n",
" <td>0.477815</td>\n",
" <td>0.627073</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>0.225023</td>\n",
" <td>0.160887</td>\n",
" <td>0.176278</td>\n",
" <td>0.366906</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" flat east south west\n",
"4 0.223466 0.383977 0.196847 0.133676\n",
"5 0.459258 0.643969 0.440917 0.225185\n",
"6 0.637347 0.793555 0.740452 0.413082\n",
"7 0.763911 0.882985 0.861961 0.679480\n",
"8 0.853531 0.934456 0.924087 0.853135\n",
"9 0.921642 0.969502 0.962086 0.931204\n",
"10 0.979352 0.992749 0.991439 0.982635\n",
"11 0.995598 0.998206 0.997954 0.998281\n",
"12 0.995596 0.997399 0.998227 0.998169\n",
"13 0.980768 0.987059 0.992588 0.993814\n",
"14 0.925868 0.943482 0.965572 0.972337\n",
"15 0.858680 0.872076 0.927309 0.938835\n",
"16 0.772145 0.705173 0.868116 0.885704\n",
"17 0.640910 0.447645 0.745097 0.792430\n",
"18 0.462049 0.250422 0.477815 0.627073\n",
"19 0.225023 0.160887 0.176278 0.366906"
]
},
"execution_count": 162,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot_data"
]
},
{
"cell_type": "code",
"execution_count": 163,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
],
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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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f55d3c2fa90>"
]
},
"execution_count": 163,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plt.figure()\n",
"plot_data.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Randomly select rooftops"
]
},
{
"cell_type": "code",
"execution_count": 164,
"metadata": {},
"outputs": [],
"source": [
"# convert timestamps\n",
"partly_shading_gr = partly_shading[['DF_UID']]\n",
"\n",
"for col in partly_shading.columns:\n",
" col_parts = col.split('_')\n",
" if col_parts[0] == 'mean':\n",
" timestamp = pd.to_datetime('2001-%s-15 %s' %(col_parts[1], col_parts[2]))\n",
" partly_shading_gr.loc[:, timestamp ] = partly_shading[ col ]\n",
" # bias_categories.rename({ col : timestamp }, axis = 1)\n",
" \n",
"partly_shading_gr = partly_shading_gr.set_index('DF_UID').sort_index(axis = 1)"
]
},
{
"cell_type": "code",
"execution_count": 165,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
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" <th>2001-01-15 16:00:00</th>\n",
" <th>2001-02-15 07:00:00</th>\n",
" <th>...</th>\n",
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" <td>...</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 146 columns</p>\n",
"</div>"
],
"text/plain": [
" 2001-01-15 08:00:00 2001-01-15 09:00:00 2001-01-15 10:00:00 \\\n",
"DF_UID \n",
"4817081 1.0 1.0 1.0 \n",
"4817082 1.0 1.0 1.0 \n",
"4817083 1.0 1.0 1.0 \n",
"4817084 1.0 1.0 1.0 \n",
"4817085 1.0 1.0 1.0 \n",
"\n",
" 2001-01-15 11:00:00 2001-01-15 12:00:00 2001-01-15 13:00:00 \\\n",
"DF_UID \n",
"4817081 1.0 1.0 1.0 \n",
"4817082 1.0 1.0 1.0 \n",
"4817083 1.0 1.0 1.0 \n",
"4817084 1.0 1.0 1.0 \n",
"4817085 1.0 1.0 1.0 \n",
"\n",
" 2001-01-15 14:00:00 2001-01-15 15:00:00 2001-01-15 16:00:00 \\\n",
"DF_UID \n",
"4817081 1.0 1.0 1.0 \n",
"4817082 1.0 1.0 1.0 \n",
"4817083 1.0 1.0 1.0 \n",
"4817084 1.0 1.0 1.0 \n",
"4817085 1.0 1.0 1.0 \n",
"\n",
" 2001-02-15 07:00:00 ... 2001-11-15 14:00:00 \\\n",
"DF_UID ... \n",
"4817081 1.0 ... 1.0 \n",
"4817082 1.0 ... 1.0 \n",
"4817083 1.0 ... 1.0 \n",
"4817084 1.0 ... 1.0 \n",
"4817085 1.0 ... 1.0 \n",
"\n",
" 2001-11-15 15:00:00 2001-12-15 08:00:00 2001-12-15 09:00:00 \\\n",
"DF_UID \n",
"4817081 1.0 1.0 1.0 \n",
"4817082 1.0 1.0 1.0 \n",
"4817083 1.0 1.0 1.0 \n",
"4817084 1.0 1.0 1.0 \n",
"4817085 1.0 1.0 1.0 \n",
"\n",
" 2001-12-15 10:00:00 2001-12-15 11:00:00 2001-12-15 12:00:00 \\\n",
"DF_UID \n",
"4817081 1.0 1.0 1.0 \n",
"4817082 1.0 1.0 1.0 \n",
"4817083 1.0 1.0 1.0 \n",
"4817084 1.0 1.0 1.0 \n",
"4817085 1.0 1.0 1.0 \n",
"\n",
" 2001-12-15 13:00:00 2001-12-15 14:00:00 2001-12-15 15:00:00 \n",
"DF_UID \n",
"4817081 1.0 1.0 1.0 \n",
"4817082 1.0 1.0 1.0 \n",
"4817083 1.0 1.0 1.0 \n",
"4817084 1.0 1.0 1.0 \n",
"4817085 1.0 1.0 1.0 \n",
"\n",
"[5 rows x 146 columns]"
]
},
"execution_count": 165,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partly_shading_gr.head()"
]
},
{
"cell_type": "code",
"execution_count": 166,
"metadata": {},
"outputs": [],
"source": [
"N_SAMPLES = 20\n",
"partly_shading_draw = get_3d_df( partly_shading_gr.sample(N_SAMPLES).sort_index() ).sel(timestamp = '2001-06-15')\n",
"partly_shading_draw.coords['DF_UID'] = list(range(N_SAMPLES))\n",
"partly_shading_draw.coords['timestamp'] = partly_shading_draw.timestamp.dt.hour"
]
},
{
"cell_type": "code",
"execution_count": 167,
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
],
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"partly_shading_draw.partly_shading.attrs['long_name'] = 'Hourly shading ($S_{sh}(t))$'\n",
"\n",
"plt.figure()\n",
"partly_shading_draw.partly_shading.T.plot()\n",
"plt.xlabel('Hour (in June)')\n",
"plt.ylabel('Roof surface (random sample)')\n",
"plt.yticks(range(N_SAMPLES))\n",
"plt.xticks(partly_shading_draw.timestamp.values)\n",
"plt.tight_layout()\n",
"plt.savefig('partly_shading_50cm_sample.pdf')"
]
},
{
"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": "3.6.1"
+ "version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
diff --git a/Visualisation/visualise_demand.ipynb b/Visualisation/visualise_demand.ipynb
new file mode 100644
index 0000000..ab0f356
--- /dev/null
+++ b/Visualisation/visualise_demand.ipynb
@@ -0,0 +1,1051 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "\n",
+ "import calendar\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_plottable_series(ds, var):\n",
+ " # Manipulate time stamps; choose hours from 3-20h (18 hours in total)\n",
+ " month = ds.timestamp.dt.month\n",
+ " hour = ds.timestamp.dt.hour\n",
+ " dt_index = (month - 1) * 24 + hour\n",
+ " \n",
+ " datetimeindex = np.zeros(18*12)\n",
+ " datetimeindex[dt_index] = ds[var].fillna(0).values\n",
+ " return datetimeindex"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "houses_dict = {'dwelling type' : 'category'}\n",
+ "industry_dict = {'Category english' : 'category', 'Month' : 'month'}"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Load demand data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load and prepare data\n",
+ "fp = '/Users/alinawalch/Documents/EPFL/data/demand/normalised_service_sector_for_alina.csv'\n",
+ "D_industry = pd.read_csv( fp, sep = ';' )\n",
+ "D_industry['hour'] = D_industry.Time * 24\n",
+ "D_industry.rename(columns = industry_dict, inplace = True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load and prepare data\n",
+ "fp = '/Users/alinawalch/Documents/EPFL/data/demand/residential_for_alina.csv'\n",
+ "D_houses = pd.read_csv( fp, index_col = 0 )\n",
+ "D_houses['hour'] = pd.to_datetime(D_houses.Time).dt.hour\n",
+ "D_houses.rename(columns = houses_dict, inplace = True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Create xarray dataframe to seperate all dimensions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "D_industry['dt_index'] = np.round((D_industry.month - 1) * 24 + D_industry.hour).astype(int)\n",
+ "D_houses['dt_index'] = np.round((D_houses.month - 1) * 24 + D_houses.hour ).astype(int)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "D_industry_xr = D_industry.set_index(['category', 'dt_index', 'daytype']).Power.to_xarray()\n",
+ "D_houses_xr = D_houses.set_index(['category', 'dt_index', 'daytype']).Power.to_xarray()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "D_xr = xr.merge([D_industry_xr, D_houses_xr])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.DataArray 'category' (category: 8)>\n",
+ "array(['BANKS', 'COMMERCIAL OFFICES', 'HOSPITALS', 'HOTELS', 'RESTAURANTS',\n",
+ " 'SCHOOLS', 'appart', 'maison'], dtype=object)\n",
+ "Coordinates:\n",
+ " * category (category) object 'BANKS' 'COMMERCIAL OFFICES' 'HOSPITALS' ..."
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "D_xr.category"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "D_xr.attrs['Note'] = 'Data for residential buildings (categories \"appart\" and \"maison\") are absolute; data for industrial buildings is normalized'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<xarray.Dataset>\n",
+ "Dimensions: (category: 8, daytype: 2, dt_index: 288)\n",
+ "Coordinates:\n",
+ " * category (category) object 'BANKS' 'COMMERCIAL OFFICES' 'HOSPITALS' ...\n",
+ " * dt_index (dt_index) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ...\n",
+ " * daytype (daytype) object 'weekday' 'weekend'\n",
+ "Data variables:\n",
+ " Power (category, dt_index, daytype) float64 0.02518 0.03954 0.02521 ...\n",
+ "Attributes:\n",
+ " Note: Data for residential buildings (categories \"appart\" and \"maison..."
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "D_xr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "D_xr.to_netcdf('/Users/alinawalch/Documents/EPFL/data/demand/demand_all_buildings.nc')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Plot demand data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "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, fig.canvas.height);\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=\"1200\">"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.figure(figsize = (12, 3))\n",
+ "ax = plt.subplot()\n",
+ "\n",
+ "LW = 1.2\n",
+ "D_xr.Power.sel(daytype = 'weekday', category = 'maison').plot(label = 'SFH (week)', lw = LW)\n",
+ "D_xr.Power.sel(daytype = 'weekday', category = 'appart').plot(label = 'Appart (week)', lw = LW)\n",
+ "\n",
+ "# plot dummy for weekend\n",
+ "plt.plot([0, 288], [0, 0], ls = '--', c = 'k', label = 'weekend', lw = LW)\n",
+ "D_xr.Power.sel(daytype = 'weekend', category = 'maison').plot(ls = '--', c = 'C0', label = 'SFH (WE)', lw = LW)\n",
+ "D_xr.Power.sel(daytype = 'weekend', category = 'appart').plot(ls = '--', c = 'C1', label = 'Appart (WE)', lw = LW)\n",
+ "\n",
+ "#plt.plot(W_mean, label = 'West-facing roofs')\n",
+ "#plt.plot(E_mean, label = 'East_facing roofs')\n",
+ "# plt.plot(N_mean, label = 'North-facing roofs')\n",
+ "\n",
+ "ax.set_xticks(list(range(12, 24*12, 24)))\n",
+ "ax.set_xticklabels(calendar.month_abbr[1:])\n",
+ "ax.set_ylabel('Electricity Consumption (kWh)')\n",
+ "ax.set_ylim(100, 1000)\n",
+ "# ax.set_xlim(0, 288)\n",
+ "plt.title('')\n",
+ "plt.xlabel('')\n",
+ "\n",
+ "\n",
+ "plt.legend(['SFH', 'Apartment', 'weekend'], )\n",
+ "plt.show()\n",
+ "plt.savefig('Demand.png', dpi = 300)"
+ ]
+ },
+ {
+ "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": "3.6.4"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

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