{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Dask" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/davemlz/spyndex/blob/main/docs/tutorials/dask.ipynb)\n", "![level6](https://raw.githubusercontent.com/davemlz/spyndex/main/docs/_static/level6.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It's parallel processing time: Level 6 - `spyndex + dask`!\n", "\n", "Remember to install `spyndex`!" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!pip install -U spyndex" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's start!\n", "\n", "First, import `spyndex` and `dask`:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import spyndex\n", "import dask" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## `dask.Array`\n", "\n", "In Level 4 we worked with `xarray` and `DataArrays`. Well, let's do the same tutorial but now working in parallel!\n", "\n", "Let's use the `xarray.DataArray` that is stored in the `spyndex` datasets: `sentinel`:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "da = spyndex.datasets.open(\"sentinel\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you already know, this data array is very simple. We have 3 dimensions: `band`, `x` and `y`. Each band is one of the 10 m spectral bands of a Sentinel-2 image." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray (band: 4, x: 300, y: 300)>\n",
       "array([[[ 299,  276,  280, ...,  510,  516,  521],\n",
       "        [ 287,  285,  284, ...,  503,  476,  469],\n",
       "        [ 287,  292,  288, ...,  454,  411,  337],\n",
       "        ...,\n",
       "        [ 502,  508,  520, ...,  683,  670,  791],\n",
       "        [ 486,  518,  532, ...,  688,  696,  693],\n",
       "        [ 486,  506,  515, ...,  659,  671,  664]],\n",
       "\n",
       "       [[ 469,  446,  466, ...,  695,  711,  728],\n",
       "        [ 469,  437,  469, ...,  683,  694,  666],\n",
       "        [ 460,  460,  460, ...,  628,  595,  527],\n",
       "        ...,\n",
       "        [ 804,  808,  832, ...,  920,  872, 1023],\n",
       "        [ 787,  803,  822, ...,  890,  882,  871],\n",
       "        [ 787,  799,  822, ...,  893,  832,  834]],\n",
       "\n",
       "       [[ 319,  293,  328, ..., 1054, 1090, 1110],\n",
       "        [ 327,  318,  345, ..., 1044, 1004,  952],\n",
       "        [ 339,  355,  323, ...,  922,  784,  652],\n",
       "        ...,\n",
       "        [1528, 1516, 1516, ..., 1250, 1246, 1420],\n",
       "        [1470, 1502, 1498, ..., 1316, 1200, 1162],\n",
       "        [1394, 1480, 1472, ..., 1288, 1144, 1122]],\n",
       "\n",
       "       [[2164, 2128, 2206, ..., 1796, 1837, 1816],\n",
       "        [2110, 2017, 2228, ..., 1795, 1839, 1788],\n",
       "        [2050, 2112, 2062, ..., 1816, 1789, 1864],\n",
       "        ...,\n",
       "        [1910, 1942, 1942, ..., 2105, 1898, 2102],\n",
       "        [1836, 1874, 1916, ..., 2075, 1792, 1747],\n",
       "        [1778, 1844, 1870, ..., 2087, 1830, 1675]]])\n",
       "Coordinates:\n",
       "  * band     (band) <U3 'B02' 'B03' 'B04' 'B08'\n",
       "Dimensions without coordinates: x, y
" ], "text/plain": [ "\n", "array([[[ 299, 276, 280, ..., 510, 516, 521],\n", " [ 287, 285, 284, ..., 503, 476, 469],\n", " [ 287, 292, 288, ..., 454, 411, 337],\n", " ...,\n", " [ 502, 508, 520, ..., 683, 670, 791],\n", " [ 486, 518, 532, ..., 688, 696, 693],\n", " [ 486, 506, 515, ..., 659, 671, 664]],\n", "\n", " [[ 469, 446, 466, ..., 695, 711, 728],\n", " [ 469, 437, 469, ..., 683, 694, 666],\n", " [ 460, 460, 460, ..., 628, 595, 527],\n", " ...,\n", " [ 804, 808, 832, ..., 920, 872, 1023],\n", " [ 787, 803, 822, ..., 890, 882, 871],\n", " [ 787, 799, 822, ..., 893, 832, 834]],\n", "\n", " [[ 319, 293, 328, ..., 1054, 1090, 1110],\n", " [ 327, 318, 345, ..., 1044, 1004, 952],\n", " [ 339, 355, 323, ..., 922, 784, 652],\n", " ...,\n", " [1528, 1516, 1516, ..., 1250, 1246, 1420],\n", " [1470, 1502, 1498, ..., 1316, 1200, 1162],\n", " [1394, 1480, 1472, ..., 1288, 1144, 1122]],\n", "\n", " [[2164, 2128, 2206, ..., 1796, 1837, 1816],\n", " [2110, 2017, 2228, ..., 1795, 1839, 1788],\n", " [2050, 2112, 2062, ..., 1816, 1789, 1864],\n", " ...,\n", " [1910, 1942, 1942, ..., 2105, 1898, 2102],\n", " [1836, 1874, 1916, ..., 2075, 1792, 1747],\n", " [1778, 1844, 1870, ..., 2087, 1830, 1675]]])\n", "Coordinates:\n", " * band (band) " ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plot.show((da.sel(band = [\"B04\",\"B03\",\"B02\"]).data / 0.3).clip(0,1),title = \"RGB\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great! Everything is going great!\n", "\n", "Now, let's convert our normal `xarray.DataArray` to a rechunked one:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "da = da.chunk({\"band\":1,\"x\":100,\"y\":100})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see what we have:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray (band: 4, x: 300, y: 300)>\n",
       "dask.array<xarray-<this-array>, shape=(4, 300, 300), dtype=float64, chunksize=(1, 100, 100), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * band     (band) <U3 'B02' 'B03' 'B04' 'B08'\n",
       "Dimensions without coordinates: x, y
" ], "text/plain": [ "\n", "dask.array, shape=(4, 300, 300), dtype=float64, chunksize=(1, 100, 100), chunktype=numpy.ndarray>\n", "Coordinates:\n", " * band (band) \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray (x: 300, y: 300)>\n",
       "dask.array<truediv, shape=(300, 300), dtype=float64, chunksize=(100, 100), chunktype=numpy.ndarray>\n",
       "Dimensions without coordinates: x, y
" ], "text/plain": [ "\n", "dask.array\n", "Dimensions without coordinates: x, y" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NDVI" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It's a chunked `xarray.DataArray`! This means that it is not computed yet, so let's compute it!" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "NDVI = NDVI.compute()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, if we take a look at our `NDVI`, you'll see that it is already computed! And it was done in parallel with `dask`!" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray (x: 300, y: 300)>\n",
       "array([[0.74305276, 0.75795126, 0.74112076, ..., 0.26035088, 0.25521011,\n",
       "        0.24128503],\n",
       "       [0.73163726, 0.72762313, 0.73183055, ..., 0.26452976, 0.29370383,\n",
       "        0.30510949],\n",
       "       [0.71619925, 0.71220105, 0.72914046, ..., 0.3265157 , 0.39059464,\n",
       "        0.48171701],\n",
       "       ...,\n",
       "       [0.11111111, 0.1231926 , 0.1231926 , ..., 0.25484352, 0.20737913,\n",
       "        0.19363998],\n",
       "       [0.1107078 , 0.11018957, 0.12243702, ..., 0.22382778, 0.19786096,\n",
       "        0.20110003],\n",
       "       [0.12105927, 0.10950662, 0.11909037, ..., 0.23674074, 0.23066577,\n",
       "        0.19771183]])\n",
       "Dimensions without coordinates: x, y
" ], "text/plain": [ "\n", "array([[0.74305276, 0.75795126, 0.74112076, ..., 0.26035088, 0.25521011,\n", " 0.24128503],\n", " [0.73163726, 0.72762313, 0.73183055, ..., 0.26452976, 0.29370383,\n", " 0.30510949],\n", " [0.71619925, 0.71220105, 0.72914046, ..., 0.3265157 , 0.39059464,\n", " 0.48171701],\n", " ...,\n", " [0.11111111, 0.1231926 , 0.1231926 , ..., 0.25484352, 0.20737913,\n", " 0.19363998],\n", " [0.1107078 , 0.11018957, 0.12243702, ..., 0.22382778, 0.19786096,\n", " 0.20110003],\n", " [0.12105927, 0.10950662, 0.11909037, ..., 0.23674074, 0.23066577,\n", " 0.19771183]])\n", "Dimensions without coordinates: x, y" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NDVI" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's visualize it!" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plot.show(NDVI,title = \"NDVI\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Amazing!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## `dask.Series`\n", "\n", "In Level 3 we worked with `pandas.Series`. Well, let's do the same tutorial but now working in parallel again!\n", "\n", "Let's use the `pandas.DataFrame` that is stored in the `spyndex` datasets: `spectral`:" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "df = spyndex.datasets.open(\"spectral\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you already know, each column of this dataset is the Surface Reflectance from Landsat 8 for 3 different classes. The samples were taken over Oporto:" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SR_B1SR_B2SR_B3SR_B4SR_B5SR_B6SR_B7ST_B10class
00.0898500.1007950.1322270.1657640.2690540.3062060.251949297.328396Urban
10.0738590.0869900.1244040.1609790.2812640.2675960.217917297.107934Urban
20.0729380.0860280.1209940.1402030.2842200.2583840.200098297.436064Urban
30.0877330.1039160.1359810.1639760.2544790.2595800.216735297.203638Urban
40.0905930.1093060.1503500.1812600.2695350.2732340.219554297.097680Urban
\n", "
" ], "text/plain": [ " SR_B1 SR_B2 SR_B3 SR_B4 SR_B5 SR_B6 SR_B7 \\\n", "0 0.089850 0.100795 0.132227 0.165764 0.269054 0.306206 0.251949 \n", "1 0.073859 0.086990 0.124404 0.160979 0.281264 0.267596 0.217917 \n", "2 0.072938 0.086028 0.120994 0.140203 0.284220 0.258384 0.200098 \n", "3 0.087733 0.103916 0.135981 0.163976 0.254479 0.259580 0.216735 \n", "4 0.090593 0.109306 0.150350 0.181260 0.269535 0.273234 0.219554 \n", "\n", " ST_B10 class \n", "0 297.328396 Urban \n", "1 297.107934 Urban \n", "2 297.436064 Urban \n", "3 297.203638 Urban \n", "4 297.097680 Urban " ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here you can see the classes stored in the `class` column:" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Urban', 'Water', 'Vegetation'], dtype=object)" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"class\"].unique()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Each column of the data frame is a `pandas.Series` data type:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "pandas.core.series.Series" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(df[\"SR_B2\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Everything great, right?\n", "\n", "Now, let's create a `dask` data frame:" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "df = dask.dataframe.from_pandas(df,npartitions = 10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see what we have:" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SR_B1SR_B2SR_B3SR_B4SR_B5SR_B6SR_B7ST_B10class
npartitions=10
0float64float64float64float64float64float64float64float64object
109...........................
..............................
89...........................
99...........................
\n", "
\n", "
Dask Name: from_pandas, 10 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " SR_B1 SR_B2 SR_B3 SR_B4 SR_B5 SR_B6 SR_B7 ST_B10 class\n", "npartitions=10 \n", "0 float64 float64 float64 float64 float64 float64 float64 float64 object\n", "109 ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ...\n", "89 ... ... ... ... ... ... ... ... ...\n", "99 ... ... ... ... ... ... ... ... ...\n", "Dask Name: from_pandas, 10 tasks" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That's a `dask` data frame! Now, let's compute our indices!" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "indicesToCompute = [\"NDVI\",\"NDWI\",\"NDBI\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ready?... Go!" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "df[indicesToCompute] = spyndex.computeIndex(\n", " index = indicesToCompute,\n", " params = {\n", " \"G\": df[\"SR_B3\"],\n", " \"R\": df[\"SR_B4\"],\n", " \"N\": df[\"SR_B5\"],\n", " \"S1\": df[\"SR_B6\"],\n", " }\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's see our result!" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SR_B1SR_B2SR_B3SR_B4SR_B5SR_B6SR_B7ST_B10classNDVINDWINDBI
npartitions=10
0float64float64float64float64float64float64float64float64objectfloat64float64float64
109....................................
.......................................
89....................................
99....................................
\n", "
\n", "
Dask Name: assign, 270 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " SR_B1 SR_B2 SR_B3 SR_B4 SR_B5 SR_B6 SR_B7 ST_B10 class NDVI NDWI NDBI\n", "npartitions=10 \n", "0 float64 float64 float64 float64 float64 float64 float64 float64 object float64 float64 float64\n", "109 ... ... ... ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ... ... ... ...\n", "89 ... ... ... ... ... ... ... ... ... ... ... ...\n", "99 ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: assign, 270 tasks" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our result is also a `dask` data frame! Now, just as we did with the chunked `xarray.DataArray`, we have to actually compute our indices!" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "df = df.compute()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's see what we have:" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
SR_B1SR_B2SR_B3SR_B4SR_B5SR_B6SR_B7ST_B10classNDVINDWINDBI
00.0898500.1007950.1322270.1657640.2690540.3062060.251949297.328396Urban0.237548-0.3409730.064584
10.0738590.0869900.1244040.1609790.2812640.2675960.217917297.107934Urban0.271989-0.386671-0.024902
100.1098010.1241840.1663690.2022290.3173300.3147310.237525298.668260Urban0.221537-0.312098-0.004112
1000.0228050.0261050.0517350.0348220.2554550.1146270.054650291.818548Vegetation0.760074-0.663173-0.380530
1010.0218560.0243450.0506350.0343410.2700580.1181750.052354291.423766Vegetation0.774367-0.684215-0.391215
\n", "
" ], "text/plain": [ " SR_B1 SR_B2 SR_B3 SR_B4 SR_B5 SR_B6 SR_B7 \\\n", "0 0.089850 0.100795 0.132227 0.165764 0.269054 0.306206 0.251949 \n", "1 0.073859 0.086990 0.124404 0.160979 0.281264 0.267596 0.217917 \n", "10 0.109801 0.124184 0.166369 0.202229 0.317330 0.314731 0.237525 \n", "100 0.022805 0.026105 0.051735 0.034822 0.255455 0.114627 0.054650 \n", "101 0.021856 0.024345 0.050635 0.034341 0.270058 0.118175 0.052354 \n", "\n", " ST_B10 class NDVI NDWI NDBI \n", "0 297.328396 Urban 0.237548 -0.340973 0.064584 \n", "1 297.107934 Urban 0.271989 -0.386671 -0.024902 \n", "10 298.668260 Urban 0.221537 -0.312098 -0.004112 \n", "100 291.818548 Vegetation 0.760074 -0.663173 -0.380530 \n", "101 291.423766 Vegetation 0.774367 -0.684215 -0.391215 " ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "OUR INDICES! COMPUTED IN PARALLEL! :D" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's visualize them!" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define some colors for each one of the classes:" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "colors = [\"#E33F62\",\"#3FDDE3\",\"#4CBA4B\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's create our gorgeous pair grid!" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnUAAAIRCAYAAAAskksYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAADLxUlEQVR4nOzdd3hkZ3n38e9zpjf1vrvaXuxd2+v1rgumY4NtijEt9BpKXkhISIGEEhJC7xASMAQwkAAG44IxNsZgG9x72fUWbdWuehtNL+c87x8jaVVG0kgaTdP9ua65rDlz5pxH61npt/fTlNYaIYQQQghR3oxiN0AIIYQQQiydhDohhBBCiAogoU4IIYQQogJIqBNCCCGEqAAS6oQQQgghKoCEOiGEEEKIClCRoe6yyy7TgDzksZBHwcjnUx6LeBSUfEblsYiHKAEVGeoGBgaK3QQhZiWfT1Hq5DMqRHmyF7sBQqxUt/T0TXx9RUtTEVsihBCiEkioE6IEjAc8CXeiXNza27/g91zW3LgMLRFCjJNQJ0QRPTo0nPW4hDtRLp4YHsl6/Jzamimvn1NbMyUISsATIv8k1AlRZEORaOa/yeSM1yTciVKTrUK3yefjof7T4/CGUqkpr8Hs4U/CnRD5I6FOlDVTa4ZNiwa7rdhNWbShZJKerm4ARsJhavz+Ka9LsBOlYnqgGw9q44EuGMv8A2U4nuDhcJiNtbU8FI3NuM7k0AcS7ITIFwl1oqxdPRTk58EwP1rdTLvTUezmLMh4WOsYHiFiptms4MCxY8Tr6meEOwl2olRt8vl4KBojGItyfHCQFrebANATj/NkJMza+voZ7xmOJxh2OCTcCZFnEupE2bK05rehKGe5nPwxHOVtddXFbtKCXdHSxKNDwxw4foKOUydpSMYZHh2F+np6AlV0B4N0jFVDJNiJUtfidmNFo/T0nZ7ZfSQcBmBVQ8PEsQDw5MlOfD4/h8eOjY+5k2AnxOJJqBNl60QqjUspdntcPJ2YOR6tXOyqq6VjbTv7ThxjNJnENThIIjyKt66eEbeHAyNBrh07V4KdKKbLmhtnnfVa7fHy5OAgZjTKar8feyTMqdEQhEKkAwG6wmFamk5/fs1olAjQHwxS53DwxLT7CCEWriIXHxYrw8FEkjUOOy0OGydS6WI3Z9GuaGliU20NtvZ1xNKZ76M2mSR5/BjbHTZ053GefuJJrj18dMradkKUgo5IhD2NmSrceFfrqXAm0F151g5WVQVYq8AeCmGLRiceV27cQJNl4YrHePJkJw+f6gIy4/QWs1yKEEIqdaKMHU+maLLbqLPZGEybpLXGrlSxm7UoHztzKwC/AUJ7n4RYjIDLhS0apTmdovfUCZ6edL5U7ESxTK7WnVNbwxPDI3REIhOv2/x+TKDZ7+fh48fZvXZt5oXjxyES5tytW3joZBePHD6CDWj1eukOh4kAw9EYtV7PxAQMqdgJsTBSqRNlqzOVpsFuYFeKgM1g0DSL3aQl2VVXy0t3nk16VTshj4dQIoERjbLa4aDNsnA+8zRPP/HkrGvbCVEok8PW+Hp0exobqPZ4Z1TrHj5+HIDda9eye+1aHjtwkD2r29izug2A81tbaPV6aXG7CcaiDI/NlpWKnRALJ6FOlK2etEmdLbOUSY1h0J8u71B3RUsTu+pq2XHO6WB3cmx2YGttLT6HA8e+p/nN409KN6wouunBbrxaNxBPYPP70X4/6UBgSrADJoLdbA4PD0uwE2KRpPtVlK2+tEmtLfPvkoDNYNi0ityipZvcrfo0MNB1EgBbOMyWlhYO9vQw+vSTfL2mGnbtlG5YUVTTJ07Uej1sBA4DEcAE0pCZMDG5K3YWiUiEhrHFiqUrVoiFk1AnylJaa0KWRcDIhDq/YTBU5t2v4yYHtX0KhsNhav1wsKeHLS0tPN55ksFjx3l03VoJdaKoJge68fF1swW7tM/PjU89zaqqwKzXu2D1Kh4fHuGM6gDPBENs8vnoiESm7EYh4U6I2Un3qyhLQ6aJ3zCwjU2M8CrFaAVU6sZd0dLE6zau58yzz0avWUOidRXOtes42NNDs9+H/dQJ/nTsuHTDipJyTm0N59TWUOv1UOv34/P52bB2LUZLCyeBdCDAcZ0JeA+dzMx2fbC7J+u1zqgO8FD/wIxtxqQ7VojZSagTZWnYtKi2nf74+gyD4Qqp1E22qbYGb1UVBKpo2rSZROsqhp1OPHY7w8ePyzInoiSdU1vDxuoqdq9qo9rjxefzY/P7MVpa0H4/JwHT68X0egHYs7Z9xjWeCYYmvpZgJ0RuJNSJsjRsmhNdrwBeo7IqdXB64sRz1q3FXRXA4fPhXbce19r1eOvqcRgG3cGgzIYVJWl8Vmyt18PuVW2cvXoNPp+fquYWbH4/fYaB4fVijAW7bMbXv4PswU7CnRBTSagTZWnEtPAZp9ek8xiKoFVZoQ5OB7savx+/z8frzjmL9g0bMNtWs2X1ajxjs3+lWieKYb7xbePdseNdsrtXtVHr908EPJfPR088ziP9AzndbzzYTSbBTojTZKKEKEuZUDepUqcMIpYuYouW16baGjqGR3g6OIrf58OdSDAMNLlcsjesKKq5tg6bbLxyN642laLa4cDnS+Byu6a8dn9PL9WeTAVv8sLGQoi5SagTZWnENPFMq9SFK7BSB1PDWsfwCHVOJxvq6macd0tPnwQ7URTjFbts4W5yNe/W3v5Zw10wFuXxSbNcAR7qH6DW6wFmhsLJbu3tl1mxQiChTpSpoGnhnxTq3EoRqdBQB1OD3VAkCsAFk36JHQpLNUMU3/QANz1o5RK8grHM53v6siZCiPnJmDpRlkYtC++k7lePoYhWcPcrnB5fV+fLdEs90NvPoXBkSqCTsXWiVMwX4C5rbuSy5sYpEyoAqj1eLmxpnjjvobHxdk9Mq+IJIWaSSp0oS6PTJkq4lCKuNVprlFJzvLO8jVfsHgU2+30TgW5XXW0RWyXE4k0Of0+M/XfycibAjGqddLUKkZ2EOlGWQpaFZ1KlzlAKp1LEtMZbwaEOJgW7oeEpwW7ya0KUk/HJFpN3pcg201UIMTcJdaIsha2Z4c2tFDFL410hgwp21dXKGnWiYkyvvk3ubp0e8GRihBDZrZBff6LSRCxryuxXALehiOnKnSwx2XhFblddrXS9iooyHtbG17eDzLImc81+FUJkSKgTZSetNQmtcU2r1LlU5U+WmEy6WkWlGp9EAVPDnRBibhLqRNmJWhq3UhgrPNSBBDtR2aSLVYiFKWqoU0pdppQ6oJTqUEp9JMvrz1dKBZVSj489PlGMdorSErYsvMbMyRBOpYivkO7XySYHO1nSRFSa2YKdbA8mxExFC3VKKRvwLeBy4EzgDUqpM7Oc+iet9c6xx78XtJGiJEWmzXwd5xybKLHSSbATK4UEOyGmKmal7nygQ2t9RGudBH4GXFnE9ogyEbYsPFmWLXEqiOuVGeqmd8NKsBOVZK5uWAl2QpxWzFC3Cuic9Pzk2LHpLlJKPaGU+q1SavtsF1NKvUcp9bBS6uH+fvlLXskilsY9S/drqVbq5PMpSl05f0Yl2AmRUcxQl22F2Om/kR8F1mqtzwG+Cdww28W01ldrrXdrrXc3Nsrg2koWtSzcWSp1jhIeU1eIz6dU68RSlPrPUJk0IcT8ihnqTgJrJj1fDXRNPkFrPaq1Do99fQvgUEo1FK6JohSFrZnLmUAm1CVKtFJXKDIbVlQy6YYVYm7FDHUPAZuVUuuVUk7g9cBNk09QSrWosY08lVLnk2nvYMFbKtBaY/aXxu4FUcvKGuqcCmIrdEzdZDIbVlSyyWvYCSGmKto2YVrrtFLqA8BtgA34vtZ6r1LqfWOvfxt4DfBXSqk0EANer7X81i6G+J8fY/Dj36L5J5/Bsbq5qG0JWxauMhtTV2hSsROVToKdEDMVde/XsS7VW6Yd+/akr/8T+M9Ct0vMFLv/SQASjz5T9FAXGVt8eDqnUoyapTmmTgghhFhuRQ11onykOjpx7thE6uipYjeFiGURsNtmHHcoRaJEJ0oUS/hAx8TX/q2bitgSIZZf+NCRGcf8mzcUoSVCFIdsEyZykj7Vh/OMDaRPFX+MVsSysi5p4ljB69TlYnLAE2KlCB86kjXsCVGJJNSJeVnhKKTS2Nc0l8Rkibm6XyXUZZfqzEwsl2AnKtl4VS55qmfKA7JX8YSoNBLqxLzMviGM+mqMaj/W4Eixm0NMW7izbBMmS5rMNLnLNdXZRaqzS4KdWDGcdbXA6ZAnwU5UOhlTJ+aV7h/GVhNA+b1YkRg6baKyjGkrlOhc69RJpW5eqc4ukPF1ooI5V7VMVOhUMAyAGYuRBMJj58hYO1GJpFIn5mUNjGBU+VGGgfJ6sEbD879pGcVmCXVOhYS6eTgb6gDphhUrQ3IoM1zE2dyAzeNBBcNStRMVTSp1Yl7m4AhGwAuAEfBijYSw1VUXrT0xnX1MnUMpkhLqZjUe6NRIiBRdhJEZsaJyTa7WpQ4cmdiX0jrZg66vnqjaScVOVBKp1Il5mf3DqCofAIbPgzUaKVpb0lqT1Bpnlp2DHUiom0tyYIhUx3EArK4+GV8nVgxdUwWAY3UrNr8XNRjE6slsKyYVO1FJJNSJeZmDIxj+06HODIaK1pbY2MxXJWPqcubfugnHmraJ546WJmxejwQ7UdHGq3SO9ae3GE8+dQg9HIbBIGowKDNjRcWRUCfmZQ4FMcYqdcrrRoeiRWtLVGdfow4y69SldGafWpGdGY2R2ncYhkJTgp0QlWh89uuUY+vXYFQFMsFubIwdSLATlUFCnZiXNRLC8GfG1Cm3EytUvO7XqKXxZKnSARhKYQCpwjapLEyu1pnhCI72NhgKwUAQq6tPqnWiYkweI5ccGiZ1tHPK64lH9qGHQhhVAayTPVg9/RLsRMWQUCfmZY2EUYGxSp3bjVnEMXVRy8o683WcUyZLzMq/dRNGWxM6lSJ254PowSC6bxgGgiQeeFyCnagozlUtwNTu1/SR09sc6qEQ5pMd6KcPy6xYUTFk9quYkxVPoE0T5XYCoLyuok6UiFp61u5XOL0AsV/+uZKVY00bVlcfVu8w0SMnAfBWB0g/fojE2DkyI1ZUkuTQMJN/YkSisYmvrUQK72gM64kDUF8ts2JF2ZNQJ+ZkjYQwAr6JiQmGx026f6Ro7clU6mZPbE6FVOrm4N+6iVRnF7p7AKt/BHtbE/GRMFYoiuOR/RLsREUZX9bEsX4NiT89hNFQhXWki5HaTM9DOhVHdw5T3+fFV+3HdvYmLJBgJ8qWhDoxp/FQN055XJm9YIskqjWu2Qt12KX7dV7j1Tp37zDdHUcYHFsfpq4vTSuQamuSHSdERRgfKwdgrG4h3T2AFU+Q7ovT3+SHJj/JnjjK0Az29dH+JBLsRFmTTioxJ3N4FMPvmXiuPK6iTpSIWRrnPGPqZFmTufm3bsJ1wU5Ucy21Lg86GqNPJ9lrhuk+dpLUr+9m+Pd3F7uZQixatiDmWL8Go7UBX7UfPdYFW3fOmbS85Ln0N/npcitO9PVhPtkh69iJsiWhTszJGgmhfJNCnduFFYnN8Y7lFbWsOUOdQ7pfc+LfugnbeWfiaqxBJ1KY4Si+TWvZGx+h+2gn5iP7ZOKEKHvjkyXGtwszVregGmuod3mJHz4xcd54uJse7CZX+oQoBxLqxJwmL2cCmVCnixjqwpaFa46JEnakUpcrx5o2HC9/LptrG9HxBPGefmy1VQyqNLEnOmRGrChr49W6ycFucrVutc1Dz21TK9Ljwe54VzdW98DEcidSrRPlQkKdmJM5NIryuieeGx4XVjRetPZErez7vo4bn/0q5je+dp3v8ovY4aklPTiCu6WRHjPBcCKG9fghCXairE0Ods5VLSSHhtH11djO3kS93UVbXNNz290MPbGPoSf2Zc5taeCUShI+cBw1GCxm84VYMJkoIeZkDo9ia5y0KrvTAak0Op1G2Qv/8YlYFs1226yvO2SixIKMz3JdDfCL3/H03kPY62sYiMWp7R/B0z2Q2Ups2vlClCPnqhaSgPJ48G9dCx0nIR7FgYvjPacYIhPsDJ+XwXgC72MHsckyJ6KMSKVOzMkaHsWYPKZOqcxkiUhxqnURS8/d/Spj6hZsfOLEqmfvYoe7hvTgCMrrYTgaxl5bM2UrManaiXIzPYg5V7Wgq/3Y9+zAv2k19S4vNcMRzl21nsa+MMmeAZwtDSivh2g4in768MSkCSFKnVTqxJzMkdGJ3STGKa87M3us2l/w9kT13DtKZCp1BWxQhfBv3QSvhFUAf34UldQoj5vQnx7De+4WLDLbrznWtBE+0CEVO1H2dLUfo7WBKqcDa2AUkikaHG50MIbqC2Nvqmfw2Eme2jiI8puo4BC2A49w+dbXFrvpQsxKQp2YU2aihGfKMcPtwgoXZ7LEXHu/AtiQSt1iTQ52sSc6MDyZ/++6bxh7ewuT/1RLPdjd3nc7lzZdWuxmiBI0eUar2r4JFQzDyR4YDOJvqMI74OeuM4MoewS1pxW7aaGjcQhHMYE7+n8PwIsaLynSdyDE7CTUiVlprbGC4SmzXyGzVp2OFivUWfNuEyahbvHGgx2A7h0mGZp9oelSDXa3990+5b8S7oR/84YZM1jHd5vQ1X50rJr7z4mhR8MYzgCuoEJHExgOBzhAG0A0Dn4vyaFhnHW1Eu5ESZJQJ2alIzGU3Y5yOqYcVy5n0cbUxbSes/vVLosPL9l4sEs88DjOxw8BYJ7owagJFLdhk4wHtnHjwW368fFjEuzE9GB3Z/AubK2ZISSmPww4UfjRZJZuYjSMjiVQLicK0IAeq9YlAWddZgKZhDtRSiTUiVmZw6MYAe+M48Vcqy6zpMns83vsQNKyCtegCjVegUsAunsAAKurD9a0TTmvVKp12cLc9Ncl2K1sd/T/nqQ1DK2Z5zZOjwm2BfyYoTC4naffkM4s5aQBw+nIBLs5Zvzf0f97CXai6CTUiVlZwyFUlW/GceVyYhWh+9XUmqTWOOfc+xUSUqjLi/Gwlurswurqw2hrItXZhWNasCsXEuxWpvFKGmSqa+O7S0xnC0yd+GUC+L3ocHTOMDf9XhLsRDHNuaSJUiqklBrN8ggppUYL1UhRHOZwEMOfLdQ5irJV2PjCw2qe7lcZU5c/4wsUG21NM46PK6dlTuar6InK56yrneg6nX5s8nFbwI8t4Ef5vZkK3vhjzGzh8I7+308JkkIU0pz//NBal84gGlFw07cIG6dczqLMfo1YFp45JklAZqJERLpf88q/ddPE4sPTj5cjqditHHOFq+nBbrbjySXcW6p2otDmq9TdrJR6o1Jq5m92UfHMoSCGzz3jeGZM3eyzIpdLVM+9nAlk/pUiEyXyz791U9mGuGykYidyla2yN358PlKxE4U2344S3wVeDhxXSv1cKfVKpZRznvfkTCl1mVLqgFKqQyn1kSyvK6XUN8Zef1IptStf9xbzswaDma6HaZTbiRUufKgLz7OcCWS6X1MS6pZNqYQ7qbSJQpvcRZtLoBsnwU4U0pyhTmt9o9b6DUA78CvgbcAJpdT3lVJL+qmqlLIB3wIuB84E3qCUOnPaaZcDm8ce7wH+eyn3FAuTmf2aZUydpzizX6OWNefMV5B16kTupFonCkWCnSiUnPZ+1VrHtNY/11pfBbwYOBe4dYn3Ph/o0Fof0VongZ8BV04750rgRzrjfqBGKdW6xPuKHFlDsy1pUpx16iJjEyXm4lDS/bpS5KNaJ8GuspXSmDYJdqIQcgp1SqlmpdRfK6XuAW4Afgect8R7rwI6Jz0/OXZsoeeIZWKOhGbs+wpj24QVoVIXsSxc0v0qhChTEuzEcptvosS7lVJ/AB4FtgL/pLXeoLX+sNb68SXeO9tv5+m/jXM5J3OiUu9RSj2slHq4v79/iU0TMMfs1yItPpxbpa40u1/l81m6pFqXIZ/RwpBgJ5bTfJW6ZwGfA9ZorT+gtb4nj/c+CayZ9Hw10LWIcwDQWl+ttd6ttd7d2NiYx2auTDqRQqdSKI9rxmvK4yrK4sNh05xzizAYn/1amPYshHw+l0e+JkxIsKvcz2gpdcEKsdzmmyjxDuAR4P1KqW+NPT6glKrPw70fAjYrpdaPzah9PXDTtHNuAt46Ngv2QiCote7Ow73FPMyRUYwqf9aFfpXbhY7G0QWuiIUtPe/sV4d0v644MhNWzKfUgp1U68Ryma/79QzgaTLj5w4Ch4A9wFNKqW1LubHWOg18ALgNeAa4Vmu9Vyn1PqXU+8ZOuwU4AnSQWV7l/y3lniJ31nD2rlcAZbeBYaATi12Wc3FCljX/OnUKCXViUaRaJwpJgp1YDvNtaPcp4INa62snH1RKvRr4NPDqpdxca30LmeA2+di3J32tgfcv5R5iccyR7DNfxxleNzocBffM7tnlErYsPMbcH9lSHVMnltelTZfmJZTJbhOV60WNl0iQEhVvvjF1Z00PdABa6+uAHcvTJFEKrOFRlM8z6+vK4y74DNiwpeddp86OhDohRHbL0Q27N7h34rFQEjJFvs0X6iKLfE2UuczM1zlCnddV8F0lwpaFd94xdZDSFHy8nyg+mTQhcpHPYDce5DZ4N0w8X2i4k2An8mm+7tcmpdSHshxXQOVMjxIzmEOjKO/soc7wuNHhwlbqopaFZ55QZyiFAaQBR0FaJUpJvrphRWUbD3b5CFTjgW78v0eiR9gb3Mv26u1LvrYQC5XL3q+BLA8/8L3lbZooJnN4dNaJEpCZAVvoSl0u69SBjKsTSyfBcGXIR9XuSPTIlOfj4U6IYpizUqe1/rdCNUSUFmtkFMe6tllfVx4XVqhwPfBprUloPe86dZDpgk1qzcy9MMRKINU6sRBLqdptr96etbt1g3fDgqp1d/T/vuSWXRHlac5Qp5T6xBwva631p/LcHlEirJEQaq4xdS4nVqhwlbrx8XSGVOpEDvIR7GQm7MqylHB3JHoka4VOumFFoeUyUWL6A+BdwIeXsV2iyKxgGMM3R/er1401WrhKXdiy8Mwz83WcLEAsQBYlFouz0IrZeGiTblhRCubbUeLL4w/gasADvAP4GSCf2ApmjYbnrNQZXjfWaLhg7Qmbet6Zr+PsKBKWhDqx9GAn3bgr04saL1lQuJst2C2EzIIV+TBv6UMpVaeU+g/gSTLdtbu01h/WWvcte+tEUVjxBNq0UC7nrOcorxsrWLhQF8phOZNxmTF1y9wgUTakYicWq9DBToilmm+bsC+S2aM1RGYh4k9qrYcL0jJRNNZoBMPvzbrv6zjD6ynoRIlRy8K7gO5XGVMnJltKsJNq3cq20GC3vXo7R6JHJNyJophvnbq/BxLAx4CPTvolr8hMlKhaxraJIrGC4TmXM4HCV+rCOaxRN86uICGhTkwjs2LFYi10EoVMjhDFMt+YOkNr7dFaB7TWVZMeAQl0lcsKhufcIgzA8BW4UmdaOa1RB1KpE7OTrlixFMu97IiMqxNLlVt/llhRrNEwxjyhTvk8WOEo2rIK0qYR08x9TB1KKnViVpc2XbrgcCcVPjFO1pMTpUxCnZjBCkVQHvec5yi7DeVyogu0q8SoqfEauX1c7QpZ0kTMS6p2YrEk2IlSJaFOzGAFwxhe17znGQEf5nCoAC2CoJV7pc6upFIncrOQYCfVOjGZBDtRiiTUiRnMYBjmqdQBGAEvVrAwoS5kWfhyrtTJmDqRO6nYicWSYCdKjYQ6MYPOYUwdgOH3Yg6NFqBFmYkSvhwnSthBQp1YEAl2YrHyHexksoRYCgl1YgZzNILyzN/9qvxerKFgAVqUWaduIZU62VFCLFQuwU66YEU2C92BQojlIqFOzKBHIxjeXCt1yx/qTK2JWDrndeocCuJSqROLIBU7sRQS7ESxSagTM1jhKCqXiRJVPsz+5d9gZHyLMJusUycKYL5gJ9U6MRcJdqKYJNSJGaxQBJVLpa46UJBQFzRz73qFTKiT7lexFFKxE0shwU4Ui4Q6MYMViWHkMKbOqPZjDhQm1PkXEOrsyDZhYukk2ImlkHF2ohgk1IkpdCIJgHI65j3XqAlg9o8sc4tgxLLw5zieDsYqdRLqRB7MFuykC1bkSoKdKCQJdWIKKxTB8M6/Rh2A8rrBsrCWeVeJEdNcePerhDqRJ1KxE0slVTtRKBLqxBRWKIrKYY06AKUURn016d7BZW3TiGnhU7l/VJ0KGVMn8kqCncgHCXdiudmL3QBRWqxQFCOH3STG2eprMLsHYOOaZWvTkGnis0n3qyguCXYiX6YHu/EFhyXwiaWSUCemsMK5LTw8zqgNkO7uX8YWwXDaZI0z94+qhDohRDmRMCfyRbpfxRRWKIpaSKWutpr0yb5lbBEMmhZVCxxTJ+vUCSGEWGkk1IkprHAU5XbmfL7RUEP6ZO8ytgiGTXNBS5o4lCxpIoQQYuWRUCem0KFITmvUjbM11pI+tbyhbsS0qLItZKKEVOqEEEKsPEUZU6eUqgN+DqwDjgGv01rPWMVWKXUMCAEmkNZa7y5cK1cmczQC7gWEuvoazIERdCqNcuT/45SwNHGt8eS4RRjImDohhBArU7EqdR8B7tBabwbuGHs+mxdorXdKoCsMvYB16gCU3Yatvpp01/KMqxsyTaptBsZCQh2Q1mBJsBNCCLGCFCvUXQlcM/b1NcAri9QOMU1mokTulToAW1M96RM9y9KeIdOkegHj6SCzfp6MqxNCCLHSFGtJk2atdTeA1rpbKdU0y3ka+J1SSgPf0VpfXbAWlqm4GedHh67h7p67UUrxgtYX8saNb8Rty636ZoUXEeoaa0id6Ca3JYsXZiBtLmg83TjnWBfscrRJCCGEKEXLFuqUUr8HWrK89NEFXOZirXXXWOi7XSm1X2t99yz3ew/wHoD29vYFt7cSRNNRPvrwvxBwBHjP1vdgaYvfd/+ejzz0Yf7jvE/jd/jnvYYVXtjiwwC2xjpSR7sW2+w5LXQ5k3HOEhtXJ59PUerkMypE+Vu27let9SVa6x1ZHjcCvUqpVoCx/2YdkKW17hr7bx9wPXD+HPe7Wmu9W2u9u7GxMf/fUInTWvO1p79KjauW16x7DbWuWurd9bxu3etocjfxmSc+g6nN+a8Tji2i+7WO9InuxTZ9Tn3pNIFFVuriJbRV2Er/fIrSJ59RIcpfscbU3QS8bezrtwE3Tj9BKeVTSgXGvwZeDDxdsBaWmbt77uZY+BgvX/My1KRJBUopXrrmpcTMGNce+fm817EiUdQCJkoA2JrrSXf2opehMtaXNqlZZKUuXkKVOiGEEGK5FSvUfQ64VCl1CLh07DlKqTal1C1j5zQDf1ZKPQE8CPxGa31rUVpb4mLpGP9z8Htc2X4lDsMx43VDGbx67au46cRNHAsdm/U62rTQ8STKtbBKneHzgN2GNTiywJbPrzdtUlMBlTohhBBiuRVlooTWehB4UZbjXcAVY18fAc4pcNPK0o3Hb2Ctfy3t/tnHwVQ7q3lR2yX85zPf5It7vjSlmjdufJKEMnJfPmScvaWe1PFubA21C37vXAbSJjU224Lfl6nUWXltixBCCFHKZEeJMhdJRbjxxI28sPWF8567p2E30XSUu3ruyvq6DkUyVbdFyIyry++yJqbWDJqLr9TFpFInhBBiBZFQV+Z+03kzm6s20+BumPdcQxlcvvpyfnjoByTMxIzXrXAU5V1kqGusI3Xs1KLeO5th08JnGDgWsPDwOKdCxtQJIYRYUSTUlbGkmeSmzpt4Tstzcn7POv86Wr1t3HhixtwUrFAE5V3YeLpxtuY6UkfzG+p60mnqFlGlAxlTJ4QQYuWRUFfG7uq5k1ZPKy2ebMsBzu7FbZdy/bFfMZocnXLcCi18jbpxtub87yrRkzapW8R4OpDZr0IIIVYeCXVlSmvN9cev56Kmixb83gZ3Aztqd/DzIz+bcnwxW4SNM2oC6HgCKxRd1Puz6U6lFzWeDsChFDFLJkoIIYRYOSTUlaknhp4gbaXZFNi0qPe/oPUF3NF9B72x3oljVjiCci8u1CmlsDXXkzqRv50lTqbS1NkXV6lzKYhI96sQQogVREJdmbrh+PVc2Hhh1qVJchFwBLiw8UKuOXTNxDErGF50pQ7GumCP529niZOpNA1LGFMXkyVNhBBCrCAS6spQV+QUB4IHOKd+acv4Pbv52Tw5/AQHgwcBsEYjGAvcTWKyfO8B251O07DIMXVuQ0mlTgghxIoioa4M3XjiJvY07MFpOJd0HZfNxYtaX8R3D1yN1hprNIxa5Dp1MD4D9uSS2jQublmETGvRY+pcShGVMXVCCCFWEAl1ZSacCnNnz51c0HhBXq63q34X4VSYu3vuxgpGFrzv62T2loa8db92pU0a7DaMRXYvZ0KdVOqEEEKsHBLqysxvOm/mjOptVDmr8nI9Qxm8dM1L+Z+D3yM9OoqxyMWHAYz6asxgGCsaX3K7TqXSNC5ykgSA2zBkTJ0QQogVRUJdGUmYCX594tdc3HxxXq+71r+WjVWbiI0MLalSpwxjrFq39HF1nakU9YscTwfglkqdEEKIFUZCXRn53anfsdq3esGLDefisrYXY4+k6KJ/SdextdTnZWeJ48nFz3yFTKiTiRJCCCFWEgl1ZSJpJvnF0Wt5XsvzluX63pQd7Dau7fwVSSu56OvYmupIHl76ZInOJXe/ykQJIYQQK4uEujLxm87f0OZtY7Vv9bJc3xiNo/we6lx13NL5m0Vfx97aSOpw55LbczKVpmkJoc4xNsEiIdU6IYQQK4SEujIQSoX4xbFruaTtkmW7hxqNoX0untX8LA4ED/D08FOLuo6trZH0ErtfQ6ZFUmuqjKV9PL2GQViqdUIIIVYICXVl4McdP2Z7zXaaPc3Ldg8jGMXyu3EaTl7Q+gJuOH4DfbG+hV+n2o9Om5hDwUW3pTOVotluW/RuGeO8hpJQJ4QQYsWQUFfiDgQPcE/vn5e1SgegglG0N7OYcaO7kT2Ne/hRxzVE0pGFXUcp7KubSXUsvgv2xBLH043zKkVIQp0QQogVQkJdCYubcb7y9Je5YvUVeO3eZb2XMRJFe0/v+7qlagvt/nauOfTDBU+csLc2kOw4sei2HE+mFr092GRew2DUlFAnhBBiZZBQV8K+s/87NLmbOLvu7GW/lxqOoP2uKcfOqz8Pn8PPjw5dQ8pK5XwtW1sjqQPHFt2WY0ucJDHOYyhGpVInhBBihZBQV6J+2/lbnhp6kivbryzI/YyhCNo/deFhQxk8u+liDGVkKnZmIqdr2Vc3kzy4+ErdiWSKljyEOp9U6oQQQqwgEupK0EP9D/GTwz/mTRvfhMvmmv8NeWAMhdGBmVuEGcrgeS3Pw2lz8t0DVxNOhea9lq2pHmsoiBWOLrgdKa3pS5v5GVNnKIZNc8nXEUIIIcqBhLoS89jgY3x171d408Y30eBuKNh9jaEIVnX2fV8zFbtn0+Jp4VvPfIuu6NxLliibgX1NC8lFdMF2ptI02G3YlzjzFSBgGAxJpU4IIcQKIaGuhDzY/wBffOoLvGHDG1jjW1O4G5tWZvZrYPZ9X5VS7Go4j90Nu/mfg//Dg/0PALMv7Gtf00zymaMLbsqRZIpWu33B78smE+qkUieEEGJlyM9vT7Fkv+38LT85/GPesvEty7ZrxGzUcCQz8zWHLs8NgQ3Uumq5s/tODgYP8qp1r846M9fe3kriqUMLbktHIklzHrpeAapsBgNpCXVCCCFWBqnUFZmpTf7nwPf4xbFr+cstf1nwQAdg6xvFqvXlfH6ts5ZXrHkFdsPO1/d+jf3BZ2acY1/XRnLfYfQCZ58eSKRY5cjPvzVqDINB6X4VQgixQkioK6JQKsQnH/1Xnh55mvdufW9Bx9BNZnSPYNXlHuoAbIaNCxov4Hktz+PG4zfyi6PXEjNjp1+vCWC4XaSPdeV8TUtrDiaTrMlTqPMZiphlyf6vQgghVgQJdUVyMHiAD97/N/gdAd626W3LvrjwXGwnh9ELDHXjWr2tXLX2lSTMJF/f+zUOBg9MvObY1E78sf0z3qO15rqRED8eHiWlTweuzlQaj1JU2fLzsTSUot5uozudzsv1hBBCiFImY+oKzLRMfnH0Wm46cROvaH8F22u3F7tJ2I73kz6jbdHvdxhOLm5+Fqcip7j++PVsCmzkivaX4djcTvz+Jwm8euoWZz8LhvhtKIrPUPSlTf6+sRaAx2IJNjodS/pepmu02+hMpVmX5+sKIYQQpUYqdQW0d3gvH7z/b3ho4CH+6oy/KolAh9bYjvZjttQs+VKrfKu4au0riZkJvvb0VznSGif5dAdW9HS37GDa5H9HQrylJsBbagL8ORrjqXhmUeM/RWJsdTmX3I7Jmmw2jiYWts2ZEEIIUY6kUrfMTG3y+ODjXH/8ek6ET/DiVZdydu3ZqDysw5YPRu8oaNA1+en+Ha/adUXXcXPf77i8xQV3/JFVL78CgB+PjLLb46ZhbIbrywM+vtA/zEcb6ziYTPK6Gn9e2jFulcPOM4nctzgTQgghypWEukVIW2mCyRHC6QgJM4GlTSw0lrZImglCqTB98T46Rg/x1PBT1Dhr2NOwh1evfRV2o7T+yB2PHSO9sQnyHDLbvG1c1X4V3dvvI/nTa7lp4zGe2/4afh9O8U8NtRPn7XQ7OZZK8f6uPl5b7ceZ53ZscNq5bjRMWuu8LGgshBBClKrSShglJmkmORE5wZHQEY6MHuZY+Djd0S6CqSA+uw+v3YvDcGAoG4rMzgt2Zcdj91DlqKLN28bFTRdT66qd915FYWlctz1F4nnbluXyNsPG6t0X437wdo491M3fspcmw+JUqI5NVZuxG3aUUlxV5ecVAR+2ZQhd1TYbTTYb90fjPNuXfccMIYQQohKsqFBnWiYpncK0TNI6TcJMEDNjhFNhRlNBhhLD9MV6ORU9RWekk/54Pw2uBlq9rTR7mtnTsJtGdyNVzipsKj8L5BZNPIXnx/egDYW5qXnZbmMpRc/L97DnZ/cywBDx7XF+H3mMnx79Gas8bazyrabJ3USNsxqf3Y/b7sZpOLErO07DiWEsfdjnC/0evjk4QqPdlvcxe0IIIUSpUFpX3hpeSql+4PjY0wZgAOBlv3vpeUVrVIl57sMe3nBbVVHu/barP46Zp63AFurPZ5/xmBkJT1+RuAHYr7W+rBBtmPb5XE4Tn/0SUUrtKaW2wPztGSjU5xOW9BkttT/X+Uh786egn1GRXUWGusmUUg9rrXcXux2lRP5MpqrUP49S+75KqT2l1BYovfYsVrl9H9JeUWlkSRMhhBBCiAogoU4IIYQQogKshFB3dbEbUILkz2SqSv3zKLXvq5TaU0ptgdJrz2KV2/ch7RUVpeLH1AkhhBBCrAQroVInhBBCCFHxJNQJIYQQQlQACXVCCCGEEBVAQp0QQgghRAWQUCeEEEIIUQEk1AkhhBBCVAAJdUIIIYQQFUBCnRBCCCFEBZBQJ4QQQghRASoy1F122WUakIc8FvIoGPl8ymMRj4KSz6g8FvEQJaAiQ93AwECxmyDErOTzKUqdfEaFKE8VGeqEEEIIIVYaCXVCCCGEEBVAQp0QQgghRAWQUCeEEEIIUQGKGuqUUt9XSvUppZ6e5XWllPqGUqpDKfWkUmpXodsohBBCCFEOil2p+yFw2RyvXw5sHnu8B/jvArRJCCGEEKLsFDXUaa3vBobmOOVK4Ec6436gRinVWpjWCVE6opbFD4aCRC2r2E0RQghRoopdqZvPKqBz0vOTY8dmUEq9Ryn1sFLq4f7+/oI0TohcLfXzeVsoyjUjIW4PR5ehdULIz1AhKkGphzqV5VjWlau11ldrrXdrrXc3NjYuc7OEWJilfj4ficXZ4nTwWCyxDK0TQn6GClEJSj3UnQTWTHq+GugqUluEKJqOZIrzvS6OJlPFbooQQogSVeqh7ibgrWOzYC8Eglrr7mI3SohCSmrNYNpkm8tJT9pEa9lmUQghxEz2Yt5cKfVT4PlAg1LqJPCvgANAa/1t4BbgCqADiALvKE5LhSie7lSaWpsNn2FgVxC0LGpstmI3SwghRIkpaqjTWr9hntc18P4CNUeIktSTNqm3Z4rqtTYbA2lTQp0QQogZSr37VYgVry+dnghxVYbBoGkWuUVCCCFKUVErdeVIa83h0GEOBQ9iNxxsrd5Ku7+92M0SFawvbVJlZP795TcUQ6asVSeEEGImCXULtD+4n395+J9J6zQAfrufz+z+LOsD64vcMlGp+tMm1bbxUGcwIqFOCCFEFtL9ugCmZXLD8RsmAh1AOB3mof6HitgqUekGzNOVOq+hGJbuVyGEEFlIqFsAU5sMxGeutD6YGChCa8RKMZg2qRqr1PkMg6BU6oQQQmQhoW4BnDYnL13z0hnHL2i8sAitESvFsGlRZWQ2V/EaSkKdEEKIrCTULdB5Dbt537a/osHVQKu3jX886584s+bMYjdLVChTa0KWhX+8+1UZhCwJdUIIIWaSiRILVO2s5qVrXsrFTRdjUzYCzkCxmyQqWNC08BoKmzpdqZNQJ4QQIhsJdYtU46opdhPECjBiWROTJAA8hiIioU4IIUQWEuqKIJQKcTR0lOHEEM2eZtb51+O2u4vdLFGChtLmRNcrgEcpwpbs/SqEEGImCXUFFkvH+PmRn3PjiRsA2Fq9jVevfTX17npaPa3SnSumGJk0ng7ApRQprUlrjX2sS1YIIYQACXUFdyJyYiLQPbv5OdiVjc8++Rk0mq1VW/nbHX/Hat/q4jZSlIxh08RvOx3qlFK4lSJqaapsEuqEqFS3990+5fmlTZcWqSWinMjs1wILp8IAGBi0+9ZwZ8+daDLdaQdGD3BL5y2YWhaXFRnDaRPvtIqcV8bVCVGRbu+7feKR7TUh5iOhrsBaPC14bB6qndUMZFm0+MH+B4ikIkVomShFQ6ZFwDb1r6nbMIguQ6gzB0cY/elv835dIcTs5gpyQiyUhLoCW+VbxSfO/QRVjirqXPUzXt9RuwOP3VOElolSNGya+I2plTq3UkR0/idLRG75M6Pf+SXpU315v7YQYioJcmI5yJi6IthRexaf2f1ZBuIDHA0d4YH+BwBodDfxyrWvxGE4itxCUSqGTYuAMa1Sp9SyVOqSB45l/ttxAvuqprxfXwgh3ahieUmoK5IqZxVVzio+uP1vORnpJGkmWeVbTYO7odhNEyVkxJw6+xUyM2Cjy7CsSbqrH8emNVKpE2KZLCXQyUQJkQsJdUUWcAQ4I8s2Y0kzSdJK4nf4i9AqUQq01oxY5oxKnctYnkqd2T+E+8KzMXsH835tIVaypVbnJNCJXEmoK0FPDz3F9cdvYEvVZqpdNXhsbjZVbWaVb1WxmyYKKKY1CoVr2pg65zJU6nQyhY4msLc2kjp8Mq/XFmIlk+5WUUgS6krM4dHDfPKxT/LKtVfxu67f0RfPdIX57X7+47xPs7FqY5FbKAplyJy6Rdg4p1LE8jxRwhwexajyYVT5MYdG8nptIVaifIU5qdKJhZDZryXmSOgIDsNB3IxNBDqAcDrMLZ2/wdKyPtlKMWSaBIyZCww7FXlfp84aDmEEfCi/B2sknNdrC7HSzBXonh5+auIxHwl0YqGkUldibMpGjbOGgfjMNewOhw6TttI4bc6JYykzRV+8FwODalcNB4MH+FPPnwg4A1zcdDGbq7cUsvkij4bSJlU224zj7mXofrWCIQy/B8PnwRqVUCfEYswW5iYHuA2+TG/LkcjhgrRJrCwS6krMxsBG0laadYH13NN3z5TXXtT2oimBri/Wx7VHf87tp27HbXfzl1vezTf2fX3i9ZtP3Mzn93xBumzL1JBpzVKpUwyb+d11xAyGUV4PyutGxxLotImyzwyUQojssgW6bGEuV1KlE4sh3a8lZm1gLf9w1j/S4Grgtetei8twYVd2rmy/kouanjXl3Hv77uW2U7dhYbG9Zge/6bx5yusJK8ETQ08Usvkij/rT6RnLmUBm9msk35W60TDK60IZBsrjwgpH83p9ISrZXIFug2+jBDpRMFKpK0Fba7aysWojsVSMS1e9GNA0upuwG6f/dwWTQe7s/uPEc5uyYWYZb5c0k4VoslgGfWmTxizVMqdSxPM8ttIajWB43AAYfg9WOIqtJpDXewhRaRZbnZOuV7FcJNSVKLthJ+AKEGDmL9ZIKsIfTv2Bc+vOZVf9LqqcVcTNBJurNnMsfHTiPJuyEXAGOBU5JcuhlKF+02Sza+buIi6liOW9UhdBjYU65XVjjcr+w0LMZb7q3Hx21J6V9bhU6cRSSKgrQ52RTnwOLxEzzK+O/4qUleLM6jN59brX8DdnfpA7un5PwFHFzrqdXHfsl0RSEV634XXFbrZYoP60SY0tS/erUsTzvKSJFQpja87sRWx43GjpfhViVksJdFKlE8tJxtSVoVBqFEMZ/Pzoz0lZKQD2Bffxx54/0hfrpdXTRjAZZCDRT3+8n8eHHityi8VCaa0ZNE1qjFm6X/NdqQtFT1fqPC6skFTqhMhmqRU6kCqdWD5SqStDbZ5VHAwemnH8yaEnCNgD1Lhq+H337ZxVl/nBcWHThYVuoliiEcvCqWbuJgHjY+ryvKNEKDoxpk65XViRWF6vL0S5m2u5klzDnFTpxHIraqVOKXWZUuqAUqpDKfWRLK8/XykVVEo9Pvb4RDHaWWrafG20eltnHG/3r2Ug3o+p07T71tLmaeOdm99FwFHFyYhs/VROelIm9VnWqIPM4sN5736NRFEeFwDK7cQKSferEONmq84tJtBJlU4sp6JV6pRSNuBbwKXASeAhpdRNWut90079k9b6ZQVvYAlTSnF23dnsqt/Fo4OPAuCz+7io6SL6Yn0cHT3Gu7a8ky89/SVCqRAAAUeAj5/zcc6oPbOYTRc56k6nqZs11CmSWmNpjaFmVvIWwwrHToc6l3S/CjEuH92t42YLdELkSzG7X88HOrTWRwCUUj8DrgSmhzqRRYO7gQ/t+HsOBQ8xlBxCobAsk9Xe1dQ4q3mw/8GJQAcQSoX4fffvafQ0Ue2opivaRdJK0uJpIeCUpStKTXc6TW2WSRIAhlLYFSS0xpOnUKcjk0KdxykTJYQgf4Fuvm5XqdKJfClmqFsFdE56fhK4IMt5FymlngC6gH/QWu/NdjGl1HuA9wC0t7fnuamlpzvazYP9D/Dk0FPsrN9JOBXmZ0d/iqUttlZvw2Nzz3hPf6yfgVg/N3f+muuPXY+FxabAZj6040Os8a+ZOC+UDKGUwu/wF/JbqmgL/XyeTKapmyXUwekZsJ48tE2nTXQyhXJmditRbhfmYDAPVxblZKX9DJ3LfNt9LSbQSberKIRijqnLVmKYPlDoUWCt1voc4JvADbNdTGt9tdZ6t9Z6d2NjY/5aWYJGk6N89emv8r2D3+PBgQe4+sB36Ip28YYNb2Rr9TaOho5k/QGys/5ceuK9XHfsOiwyi9d2hA5xw/HrSVtpQqkQt5/6HR968O/4xwf/kT/13E0sLQPm82Ghn89T6TT1c2zT5crjDFgdzVTp1NikDMPjlokSK9BK+hk6Fwl0opwVM9SdBNZMer6aTDVugtZ6VGsdHvv6FsChlGooXBNLU2ekk2eCp3upr2y/ErfdzR+6/4Df4eetm96Kz+bl9evfgMfmwWPzcGX7KwmlRumOds+43oMDD3IqcpL7++7nG/u+QU+sh5PRTr7w1BfYNyK94cUw10QJyO9adVYkhvKeruwqtwsdllAnVh4JdKLcFbP79SFgs1JqPXAKeD3wxsknKKVagF6ttVZKnU8mhA4WvKUlRk8qaJ5RfQZ98T7u67sPgO5oF/tHnuHfdv07DuUgYcax0Nzbdw+D8UHeuvmtM663rXobt528jcPhIzNeu7vnbs5rOG/5vhkxQ1prhkxz1jF1kN+16qxwDMPtmniuPE6p1IkVRwKdqARFC3Va67RS6gPAbYAN+L7Weq9S6n1jr38beA3wV0qpNBADXq91ntdyKENrvGvYFNhER6iDs+rO5pdHfzHl9Ug6wlAiM3ni+hPXT3mtM9zJRU0XTYTAWmctZ9WdzR+67qDRPbPLpd5dv3zfiMhqIG0SsBnY55gEkc/9XydPkoCxdeqiEurEyjBbmIOFB7rJEyIk0IliKOriw2NdqrdMO/btSV//J/CfhW5Xqat2VfMPZ/0j9/Teg8vmxGE4SFiJKeekrTRem4e/2/4hemO9hNMhbj15K/f338+Xz/8KV629iqHEMKZO84293yBhJXhB6wt4ZPCRiV0qPDYPFzddXIxvcUXrTZuzLmcyzpnH/V+tSAw1pVLnQkfiebm2EKVsOQLdXMuWSKATy012lChTq3yreN2G12FZFqY2+cGhH0y81u5by2gyyB8H/8hDAw8CUOeq582b3kKts5ZVvlWsYhV/7P4jh4IH8dg9JJIJrjt2HW/Y8EZCqRCN7kbOqt3BusD6nNoTToWxG3bcWWbdioXpS5vUGHMPd3UqRSJfY+rC0amhzuVExxNoy0LN0w4hytVcgW5cLoFOqnOilEioK3OGYXDpqhfT7mtn78he6l319MX7CaVDE4EOYCgxyL7hvfzd9g9NHGtyN/Gd/d/mDRveyC+P/YLh5DC/PPYL/uaMD3Jh84XY1NzVIoDhxDD39N7DzZ2/psZZwxs2vJEdtTuwZdmzVORmwDSpmmM8HYAjj7tK6EgM5XZOPFeGgXI50NE4yu/Nyz2EKCXzBbpcd4qQ6pwoNRLqKkDAEWB34x52N+7h9pO3c+vJ33JJ2yUzztsf3E/CSuAl84t6fWA9r1n3Gn5+9Gc8v+UFVDkD7Kw7l20123K+9909d/G9g98D4FT0FJ947ON8Yc8X2Vq9NT/f3ArUn04TyLLn62SOfE6UiMRQLueUY2psWRNDQp2oILlU53IJdFKdE6VKQl2FafE2EzNjVDmrZ7y2o/YsRlNBYukYh0OH0dpiT8P57Gk4n3A6RLOnhQZ37ivGBBNBbjxx45RjlrY4OHJAQt0SDKZN1jjn/quZ9+7X6aHO60bLDFhRQXINdHPJJcyBBDpRPBLqKszGqk28c/M7ORA8wKVtl3JH1x1YWLT71rIhsIF/fvifubL9Sn5y+CdAZs/YT5/3abbX7ljwvWyGDZ/NRz/9U4677fnY52DlGjItzpxnLJs9j92vVjiK8kwdC2m4XViyVp2oELkEunHZqnQS5kS5kFBXIbTWnIycpDvWzdm1Z3Nu/S4sbdLobsTCoi/Wx08O/5gdNTto87bxuvWv48H+BzkWPsbvTt3OX1VtWvA9/Q4/b9n8Fj71+KcmjlU7qtlWnXv3rZhpxLLw5zBRImblZ0kTKxzFUTe1sqs8LqyI7P8qyt9CAt1kuQY5kDAnSoeEugrxxNDjfOrxT5G0kgC8Ys2VXLHmcq47dt3EcidXtr+SrugpvvDUF7ArOy9qexFt3lWcCB/H0haGmn+mo2mZGMpAja2hdm7dLj67+3M8NfQUVc4qzqo9a8o+smLhRs35Q50jj0ua6PDUdepAdpUQlWExgS6XyQ+TSaATpURCXQUYTgzzjX3fmAh0ADd13shzW57L69b/BT8+/CPqXfWkrCQPDTwEQFqnue3Ubbxp45tocjfPG+jCqTBPDj3Bbzp/Q7WzmpeteTnbarbhsDnYUbuDHYvovhUzaa0JWxa+eSZKuJRiKI+VuslLmgAotxMrLJU6sbLkGuRAwpwoTRLqKkAkHaY/3j/jeG+8l5esfglt3la6Yz3c2f3HGef0xfq4YvVLARhJjHA4dJihxCCtnlY2VG3Ea8/Mfnxk4GG+9PSXJt53X999fH7P59kiEyLyKmxpnEphm2M3CRif/ZrHHSVmhDqXbBUmytpiu13nI2FOlDIJdRWgxlnLpsBmOkKHphxv9bRS7azm2S3PwbRMuqNdnIicmHLOluqtVDmrCKfC/PDQD7ij+46J19615V28vP0VxNNxfnnsl1Pel9Zpnhx6SkJdnoVyqNIBOBXE8jVRIpKt+9WJNRrOy/WFKDQJdGKlkuXiK4Df4ecDZ36A1d7VQGZ7rw9u/1vW+tdOnGMzbLy8/RXUOGsmjm2q2sQ5decAcCJ8YkqgA/hRx4/oiXZjKAObmpn/7TksTiwWZtSy8OWwi0NelzSJxDCmhTrD48YKRfJyfSHK3aVNl0qgE2VhzkqdUqpurte11kP5bY5YrI1VG/ncns/TH+/Da/fR6mmdmMwwbn1gPV/c8yU6I53YDTtr/Wupc2X+F0fNmeOnUlaKZ0b2M5gY4FXrXsUXn/rCxGsuw8VZdWcv7ze1AoVNC09Olbr8LD6skykwTXA6phxXXjdW18wufSFWEglylUUp9UkgrLX+0nznlqv5ul8fATSQ7beMBjbkvUVi0aqd1VRPWnQ4mo5yKHiQw6EjNLob2Fq9jRZvCy3elhnvbfO24bV7iaZPh7u1/rU8PvQ4d/Xcyfaa7XzsnI9xf//9VDmreXbTs9lYtZGEmaA/3oddOWj2NM8IkmJhwpaFJ4dZyI48VeqscBTl9cz4/6Y8LqnUibKUr65XCXSiHM0Z6rTWue3mLkrSnd1/5L/3//fE863V2/iXs/+FOvfMAmybt41PnvtvfO/AdzkcOszZtWezs34nP+r4EQB7R/ZyfuMFfHD73068pzvazY86ruGe3ntw29y8ddNbeWHbiyYmV4iFC1sW7lwrdfkIdaEohs8947jhdcvsV7EiSZirHEqptwL/QKYI9SRweNJr7wbeAziBDuAtWuuoUuq1wL8CJhDUWj9XKbUd+MHYuQbwaq311EHsJWK+7tcbgHuAe4GHtNbJuc4XpaM31ssPD/1wyrEDwf0cDR/NGuoAzqg5g3/f9SmCySC/OHotPzj0gymvJ8zExNeWtvhN52/4c++fAYiZMb5z4Dus8q3m3Ppz8/vNrCBhS+POodrpVJDMS6UugvLODHXK60ZLpU6sIBLmKstYEPsocLHWemBsONnfTDrlV1rr746d+x/Au4BvAp8AXqK1PqWUqhk7933A17XW/6uUcgIlO6B8vn6e7wG1wKeBHqXUvUqpLyqlrlJKNS9/88RipawUcTM+43i2Y5P5HD7afG3srN855bihjCnHRpNB7u65a8b7D492LKq9IiNiWbhyCnX5GVNnhaIYnuyhTip1YiWQSRAV64XAL7XWA5B1DsAOpdSflFJPAW8Cto8dvwf44Vglbzy83Qf8i1Lqw8BarXXJrvc0Z6jTWt+stf4XrfXzgUYyKbcX+CLQtfzNE4vV6G7k2c3PnnLMZbhY48ttt4fzGnbzT2f9E9uqz2BPwx7+Y9en2VK1ZeJ1t93DOv+6Ge9rcjctqd0rXSjH7leHUnmp1OlQNHulzuVCJ1LodHrJ9xCikHINaBLmKp4i0+06mx8CH9BanwX8G+AG0Fq/D/gYsAZ4XClVr7X+P+AVQAy4TSn1wuVs+FLMu06dUqoBeNbY40Iy3/jvySRXUaJcNhdv2fRW6lz13NVzJ+2+tbxl05tp97fn9H6/w89zWp7LBY0XYigDuzH1o+K2uXnTxjexP7ifmJn5R8vW6m1sqzkj79/LShKxNPW2+SdK2Mj8tEppjWMJk1OsUGTGwsMAylAonwdrNIJt2r6wQpQ6CWsCuAO4Xin1Va31YJbVPAJAt1LKQaZSdwpAKbVRa/0A8IBS6uXAGqVUNXBEa/0NpdQG4GzgD4X7VnI335i6Q0AQuA64DfgPrbWsSFomWr2tvGPLO3j1ulfjsXtw22ZWZObjtDlnfW1rzTa+fP5X6Ix04rK5WO9fP+t4PZGbqGXRZp9/uIZSCtdYF6zDtvhQZwZDGFkqdQCG34MVDEuoE0KUHa31XqXUp4G7lFIm8BhwbNIpHwceAI4DT5EJeQBfVEptJlPpuwN4AvgI8GalVAroAf69IN/EIsxXqfs+mercq4GzyPRB3wc8prU2l7txYulsykatq3bZrr/Gv4Y1/ty6dMX8Ijl2v8LpBYgD8586K2skhMoypg7A8HtlVwkhRNnSWl8DXDPLa/8N/HeW46/Kcvpnxx4lb74lTSa+CaXUFjJdsO8GnqOU6tdaP2+Z2yfEihK1dE4TJWB8WROLpUzEskbC2NZkn/OkvB7MkdCiry2EEKKwctombKwP+XzgAjKVu0ZAftoLkWcxnXuocxlLnwFrjoxi+DxZXzN8me5XIYQQ5WG+MXXXkwlxQTITI+4Bvqm13leAtgmx4sRyXKcOMqtgLnVXCSsYxvBnXyza8LmxpFInhBBlY74xdT8A3j2+zosQYnnFtIUr1zF1xtJ3lbCCYdQsoU75vJiDI0u6vhBCiMKZb0zdTUqpeqXUXwPbxg4/A/xUaz247K0TYoWJWxrnQsbULaH7VVsW1mhk9kpdwEvquCxHKYQQ5WLOMXVKqTOAp4HzgIPAIWAP8JRSattc7xVCLExqrOo27+KRYxwsrVJnjUZQbidqliVUVMCLNTS66OsLIYQorPl+f3wK+KDW+trJB5VSryazddirl6thQqw0sbGZryrXSt0SJ0pYQ0GMav+srxt+H+awhDohRPlRSq0DbtZa75h07JNAWGv9pWnn/nDs3F8Wso3LYb5Qd5bW+jXTD2qtr1NKfWaZ2iTEihTTua9RB+BQjC1psjjm4Mjcoa7KJxMlhBBLdvL57+oB8rlffO/qO/+nJR8XUkrl2jlSFuZb0iSyyNeEEAu0kPF0sPTuV3NgBCPgm/V15XGj40l0MrXoewghBPkNdEu+nlLqTqXUZ5RSdwEfHDt8iVLqT0qpg0qpl42dt27s2KNjj2eNHX/+2DV+qZTar5T6X5VrF8symy+hNimlPpTluCKzVt2SKKUuA75OZvXU72mtPzftdTX2+hVAFHi71vrRpd5XiFIUW8DCw7D0iRJm/zBG1eyVOmUojGof5lAQe0vDou8jhBAlqGZ8A4Wx7td1wPOAjcAflVKbgD7gUq11fGzrsJ8Cu8fefy6wHegis9zbxcCfC/kNZDNfpe67ZPZDm/7wA99byo2VUjbgW8DlwJnAG5RSZ0477XJg89jjPWTZ0kOIShHT1oJCnUNlguBipXsHMWpmD3UARpUfczC46HsIIUSRzPbDcfz4z6cdv1ZrbWmtDwFHyKz44QC+q5R6CvgFmawy7kGt9UmttQU8TiYUFt18S5r82zLe+3ygQ2t9BEAp9TPgSmDywsZXAj/SWmvgfqVUjVKqVWvdvYztEqIoYgvsfnUqRWwpY+q6B3DtOmPOc4yAD0smSwghys8gMH3j8zrg6NjX04eQTQ+BGvg7oBc4h0wRLD7p9cSkr01yX7hgWc23o8Qn5nhZa60/tYR7rwI6Jz0/SWYbsvnOWQVIqBMVJ64XHuqGzcWHunTfIJ66qjnPMQJemQErhCg7WuuwUqpbKfUirfUdSqk6YHzI1zuyvOW1SqlrgPXABuAAUA2c1FpbSqm3sZSNtgskl4kS0x8A7wI+vMR7Z/vtNT0p53JO5kSl3qOUelgp9XB/f/8SmyZEfuXy+YxbGscChtq6lCK2yIkSWmvMvmFsddVznmf4vFiyq8SKID9DRQV6K/AxpdTjwB+Af9NaH57l3APAXcBvgfdprePAfwFvU0rdD2yhDCaIztf9+uXxr5VSATKzRN4B/Az48mzvy9FJYM2k56vJDDhc6Dnjbb0auBpg9+7dS9s7SYg8y+XzudBKnWMJEyWsoSDK5UC5nHOepwJeGVO3QsjPULGMesnzkia5nDS2T/0Lshx//rTnb5/l/YeAsycd+uex43cCd0467wO5tKcQ5u0DHitZfgh4E3ANsEtrPZyHez8EbFZKrQdOAa8H3jjtnJuAD4yNt7sACMp4OlGp4trCsZDuV2Pxlbp09wC2hunDTWYyAj5SHScWdQ8hhADI15pyYn7zjan7IvAqMv96O0trHc7XjbXWaaXUB4DbyPRTf19rvVcp9b6x178N3EJmOZMOMkuaZOsHF6IixCy9oFDnUoq4tbgxdemufmz1c3e9QmZMnWwVJoQQ5WG+St3fk5nh8THgo5PW1lNkJkrMPcp6HlrrW8gEt8nHvj3paw28fyn3EKJcZNapy/18p1r84sPprn5stfP/9VV+L2ZQdpUQQohyMN+YuvkmUggh8iSmLdwLmv3KokOd2dWHMc8kCQDD78UK5q1AL4QQYhlJaBOiRCx0mzDXEiZKpLv6cwp1ma3CEuhUelH3EUIIUTgS6oQoEYtZpy6hNXoR1TqzdxDbPGvUwdhWYT4PlnTBCiFEyZNQJ0SJWGiosymFASQXmOm0aWEOj2LUBHI6XwV8mNIFK4QoI0qpO5VSL5l27G+VUv+Vp+vvVEpdsdDzlFKvUEp9JB9tyKYktrUQQiy8+xXAbWS2CnMtYKFzayiI4fOg7Ln99ZdxdUKIpXj+kZM95Hmdujs3rJ5vmZSfklkq7bZJx14P/GOe2rAT2M20yZ7znae1vonMcm3LQkKdmJA62UvqwDGsSAzHpnacW9ai7CW/K0rFyFTqFvaeiXF1C/jflO4bwsih63Wc4XVjjUqoE5UhfKBjxjH/1k1FaMmKks9Al+v1fgn8h1LKpbVOKKXWAW2AVyl1H+ACDgPvGNtS7ArgK8AA8CiwQWv9MqWUD/gmcBaZzPRJMrtO/DvgUUo9G/gsmT1lvwZ4gBiZJdiOZjnPA+zWWn9AKbUW+D7QCPSPteWEUuqHwCiZMNgC/JPW+pe5/MFIqBNAJtAN/ONXMLsHMgcMRcPn/w73nu3FbdgKEresBVfqXEoRXeCYOrN/GKMqt65XAOV1S6VOVIRsgU5UJq31oFLqQTL7vd5Ipkp3B/BR4BKtdUQp9WHgQ0qpLwDfAZ6rtT6qlPrppEt9FPiD1vqdSqka4EHg98AnGAtnAEqpqrH3p5VSlwCf0Vq/Wik1/by3T7r2fwI/0lpfo5R6J/AN4JVjr7UCzwa2kans5RTqZEydACC57/DpQAdgaYLfvQ4zEiteo1aYxALH1MHiFiA2B0cwqnw5n688EupE+ZNAtyKNd8Ey9t+jwJnAPWP7wb4NWEsmOB3RWh+d9L5xLwY+Mnb+nYAbaM9yr2rgF0qpp4GvArlURC4C/m/s6x+TCXHjbtBaW2NbneVc6ZRKnQDAGp25T7E5MIJOpsDnKUKLVp7FhDqnWvhWYebACEZgAaHO65aJEmLFmS0ESldtWbkB+IpSaheZbs/HgNu11m+YfJJS6tw5rqGAV2utD0x7zwXTzvsU8Eet9VVjXb13LqK9k3+YJ6a1IScS6gQAzm3rQCnQGpTCec5WAm+4DHsOuw6I/IhrjdNYYKXOUEQXuFadNTCMUV+T8/mG1401OLKgewhRSuar0i2kijd+roS70jc2Vu5OMuPWfgrcD3xLKbVJa92hlPICq4H9wAal1Dqt9THgLyZd5jbgr5VSf6211kqpc7XWjwEhYPI4lmoy+9gDvH3S8ennTXYvmQrij4E3AX9e9Dc7RkKdAMC5dR0NX/0HUodPYm9vweweIHzd74nd9Qi+y5+F66wtxW5iRbO0Jq3BscD3ORexALE5OIJ93aqcz1deN+YRqdSJypfq7Jr3HMeatgK0ROTRT4FfAa/XWvePjWn7qVLKNfb6x7TWB5VS/w+4VSk1QGbc3LhPkZkA8aTK7JV6DHgZ8EdOd8t+FvgCcI1S6kPAHya9f/p5k/0N8H2l1D8yNlFiqd+shDoBQLpvmPSJHqxIjPSJHoLfPD2kIHbHAzT+5z/j3JxtGIHIh/E16tSiJkoscEzd0OiCul8Nrwcdii7oHkKUEv/WTVmrcdlCnBqZfaFtnePajmKGXvK8pEmuJ2qtr2dS96XW+g/Aniyn/lFrvW0suH0LeHjs/Bjw3izXHcpyncnVj4/Pcd4Px147Brwwy7XfPu25P0t7s5JQJwBIPLafka/+BM8Lzyd14NiU13QiSeLJgxLqllFCa1wLXM4ExsbULbT7NRhGBbw5n6+8bqzQzDGXQpST8e7S8XA3HuhmhLjBYPYL1FfjbKgj2dkl1boFymFNuVLwbqXU2wAnmbF33ylyexZFQp0g1TvI6PdvyIynm/WkFOmeAewtDQVr10qymIWHAZwKYguY/aq1xhqNYPgXGOrCUqkT5S9boDOPd2Hzn65cp4+cwlY9dSyxqs9U6JIDQxLoKpTW+qtkZq2WNVnSREAyhTWU+ddp/P4n8b70OVNeVi4nyuuh/x++QupEdzFaWPFii5j5Cpnu1/BCQl0ognI5FrSotDEW6hazx6wQpSB8oCN7hW4wiO4bIfrw/olHcihEMhieeGQjkyREqZJQJ7A11OK+8CwAdDKFUeWj6i9fhfv8HXguuYCqd74SnUxhdvcT+/NjJA4cneeKYqESlsa1yFC3kNmv5nBoQePpAJTDDkqhE8mFNk+Iops8lm5yoEs/tI/In5+g/1QvwViUcMBNMBbF85zzCKYSOLdngpsZHMUMRzCjsmanKH3S/SowPC6q/99fgM2GFQwT+8ODJB4/iGNzO7q7H7N3EO8lF1H1tldgVPsJ3/BHeKXCtXVdsZteMeJ64btJALgNg750KufzrWB4QV2v4wzf2GQJt2v+k0tU3IzzYP8D9Mb6WO9fx7kNu7Ap2Qavks0W6FL3PEHfiW4G0jF6rASGz8tqHYDGALbH9+I+Zxv9j+/FH4pjqwtgW9uGrgngWNMmVTpR0iTUCQAc7a3Uffy9mMEQoe/fAKZJav9RHBtW49y6jpGv/njiXP8bL8ccGCZZ5cXRWC/7w+ZBzNI4FlupW0C3qBUMoRaxmPT4ZAlbY+2C31sKnhp6ii89/UWa3M00uhv5Y/cfcR7+Cf9yzkdp8jQVu3liGcwZ6I508lR8GFttNZ6WzASwfp2pRJ/s7mK1TlHTH0IrG6ppDWY0huusrYX/JoRYIAl1YoLhdmK463FfvJPoHx+CZAr3c3YR+snNGFU+XOfvwLFhDVYwxOh//wKjrgrflS/Ade427HXVxW5+WYsvYUxdZAHdr5lK3cJDnVHGM2Af7n+Ir+z9Cq9Z9xo2V20GMhNG/tz3Zz7y8If54p4vUe+uL3IrxXKZPikiORBkgBS22mpWX/a8Gef3P74XACuWwLWpHRprMdoywV+qdOVDKfVV4LjW+mtjz28DOrXWfzn2/MvAKa31V7K89+3A77TW8y9cWGIk1IkZHBvXUPv3b8HsG8JoqMV90Tk41rYSf+oQRk0VkV/enjnxZC/JvUeo+9T/w/6snUVtc7nLzH5d+PvchiK6gIkSZjCM8iy8C1V53FhluFbdkdARvvz0l3nzxjfT7j+9JI9Siuc0P4eUleKzT36Gz+/+AjZDKs6VYvqadM6GOlIjIXTfCCPRKIbPg6tp9t1y0r0D1Hi9qKYajLYm6XZdopff/rIe8rxO3a8vvXm+ZVLuBV4LfE0pZQANwOT/6c8C/naW974deBrIOdQppexa63Su5y8XmSghZnCsasKxY3NmQeKTfTg2riH0v7fgXL+a2O33TT3ZNEkfOZX9QiJncb247lf3AidKWCMhlHcR3a8eV9ktaxJNR/nM45/mpWteOiXQTfb8ludjaovrj/+qwK0ThZTqOI55PPP72fC4sDc3kOgZoP/xvRMPyFTpYodPUJcAZ0M1lOlwgxKUz0CX6/XuIRPcALaTCWkhpVTt2G4SZwAvUUo9pJR6Wil1tcp4DbAb+F+l1ONKKY9S6jyl1F1KqUeUUrcppVoBlFJ3KqU+o5S6C/hgnr/HRZFQJ7JyrmrC8+xzSZ/qJX7PYwDoWDzreCzlcZEeGC50EytKbLETJZQitoAdJayRUYxFjKkzPK6y6379zv5v0+5fyzl158x6jqEMXtl+Jb889ksG4gMFbJ0oNJvfN7H+XL1y0GI4aVSZx3jAix0+QbNpz1TpmmulSlfGxrpO00qpdjLh7j7gAeAiMqHtSeA/tdZ7tNY7AA/wMq31L8nsJvEmrfVOIA18E3iN1vo8MvvIfnrSrWq01s/TWn+5QN/anCTUiVm5dm7F/6oXYVRldiiJ/ekxfNPWsDPqa7C3t5A8cIzo3Y+QeLoDMyxT/xdqsYsPZ7pfdc5ryJnBMMrrXvB9cLuwRssn1D088DBPDD3BFasvn/fcOlcdexr28JOOH897rigvqc6uGTtG1K1qpXHndppbWqlXjomAV9s3yg5nDZvrm3Dv3IRqa5RAV/7Gq3Xjoe6+Sc/vBV6glHpAKfUUme26tme5xlZgB3D72P6tHwNWT3r958vW+kWQMXViVobLievMDZgvfx6JJw6gY3Fidz1C9V+9LrPVlN+DramO4NXXUfXGK0js7SDyy9/je+ULqHrnVdiqFrYe2koWsRZXqbMrhUFmmzF3Du+3RsOLrNS5sUazL8RaaqLpKP+575tc2X4lLltu4wef0/wcvrr3q3RFu2jzyo4BlWDyvq6OliZSY9t/+c7bTuSRvTTu3E5yb2bsnd+X6WZ1rgmgmmqgsRbXBTsL3WSRf/eSCXBnkel+7QT+HhglU3H7HrBba92plPokkO1fvArYq7W+aJZ7lNS/dqVSJ+ak7HZsdVXUffTd+P/iJbjPOxOj2k/iwFFCP/o1w//xXdKHTjD8hR9gb22k9sPvwKgOkHjsGdJDs+yhKGbIzH5d3HvdRu4zYK3RyBKWNCmPMXU/6fgx6/zr2FSVe4XFY/dwfuMFXHv02mVsmSiEyZMknA11AKT2HsLRvmrKecm9HTir/ZlHXQDXtjWo7esxztk6EeikSlf27gFeBgxprU2t9RBQQ6YLdnyA+IBSyg+8ZtL7QkBg7OsDQKNS6iIApZRDKZWtolcSJNSJebnO2ICtvgbHpjXY2ltQfi/JR55Bx0/vMKBjCayREObgCKFrbmLoX/+boY//F+keGaeUi6ilcRmLS3VewyCS4wxYKxTBWET3q+Etj0pdx2gHd/bcyWWrL1vwe5/VdBH39d3LUGJoGVomiiHVcRxHy8x1CMfDnBkcxXIZ2PecObF0yfjerhLoKsJTZGa93j/tWFBrPQB8d+z5DcBDk875IfDtse5WG5nA93ml1BPA45yegFFypPtVzEs5HbjO2YILsOJJkns7UC7njG2jlMOOTpze3SC5t4PEk4ewtzQUuMXlJ2ZZONXi/jp6clyrTlsWOhJf3OzXMqjUmdrkm/u+yYvbXozPvvCuf6/dy9m15/Cbzpt5y6a3LkMLRaFM7nqdOHYiM0s/1XEcMziKfcMq7FtWY0Zj6JrAxOLCEuaWRS95XtIkl5O01iZTlzFBa/32SV9/jMwYuenvuw64btKhx4HnZjnv+bm0o5Ak1IkFMdxOXOduo+q9ryH4jf+bOO554fkknu7AdeaGKeenT/YUuollKbbIxYcBPIYinEOlToejKJcDZVt4gV553SW/pMktnbcAml31uxZ9jQubLuAHB3/A6ze8AYfhyF/jREFM73pNjYRI9fTh2L6Z1N5DqPpMj5pyGZgeJ0ZNAGNs+y+QQLdcclhTTuSJhDqxYMow8F1xMY61raQOHUenTcyhIJ5n7WTkv3425VznmRuL1MryErdym+iQjUcZhHIIddZoZFH7vkKm+1WX8OzXocQQ/3f4f3nXlnehFvnnCNDkbqLJ08Q9vffw/Nbn56+BoqAca9pIdnbh3LSWVMdxUj19UD9p1xuPU7paRUUqSqhTStWRmQa8DjgGvE5rPWOhM6XUMTIDFk0grbXeXbhWirkYbjfu887Edc4WzKHRTCVnNIxzxybidz8KTjtVb305zmmVO5FddAmVOneOlTpzkZMkYKxSF42htV5SaFou3z1wNbsbdtPsWXoPz56GPfym8zcS6sqQf+umiWrdeLCjJjDjvMn7uEqgE5WkWJW6jwB3aK0/p5T6yNjzD89y7gvGBjSKEqTsduxNmRlmNr+Xun/+S9LvGEA57NhbGxfV1bcSxS0L16IrdSrHSt3iljMBUDYbyuFAR2KoRVb7lssTg4+zb2Qff3Pm3+TlemfUnMHNnTfTGe5kjX9NXq4pimO8EpeNhDlRiYoV6q4Enj/29TXAncwe6kQZMTwunOtXzXnOUDrNkGlRY7PRYJf9NgFiS5j96jYUITO37tdFLTw8Rvk9S+rCXQ4pK8W3nvkvrlh9BU7DmZdr2pSNXfW7uPXUrbx767vzck2xfG7p6QPgirFZrhLWxEpWrDJKs9a6G2DsvzPnnGdo4Hdj+629p2CtE8vmqViC93f185en+njvqV4eisZz3g2hUmmtiWm96Eqd1zAI5hTqwhiexYc6w+fFCobmP7GAbjx+I9XOas6sOTOv1z2v4Tz+2P0HUlZq/pNFwd3S0zfxmHxMiJVu2UKdUur3Y5vkTn9cuYDLXKy13gVcDrxfKTVjSvGk+71HKfWwUurh/v7+Jbdf5F9fOs2/9g3SnTYBGDQtPt47yMlUusgtW35zfT6TOvMX0b7YUKcUo7l0vwbDKE9uOyxkY/g9mCU0WWI4Mcx1x36Z01ZgC1XvqqfZ08ID/Q/k/dqlqhx+hk4PckKIqZYt1GmtL9Fa78jyuBHoVUq1Aoz9N+vf0rENedFa9wHXA+fPcb+rtda7tda7Gxsb8/8NiSXrS5sMTasoxbWmdyzkVbK5Pp9RbeFeZNcrgM9QuVXqRkIo/+LG1AEorwdrpHQqdT/quIZd9btocC/POoi76s/l1s7fLsu1S1Ep/wzNJcxdkWWRYSFWmmJ1v94EvG3s67cBN04/QSnlU0oFxr8GXkxm7zZRpqoMY8ZWWAqoXuGTKaKWxqMW/2fgM4ycKnVmMISxiIWHxxk+d8l0vx4PH+OB/gd4Xsvzlu0e22u20xHqoDeW0zqnYhnkWpmTQCdERrEmSnwOuFYp9S7gBPBaAKVUG/A9rfUVZFafvn5s+QQ78H9a61uL1F6RB6sddv62voYvDowwPoruPXXVrHWcXuQ1rTWnUmmSWtNst9GVSnMilcZvGGx2OWi0V97SilHLWvQkCchU6kZzqtSFUdsXP8lBeT2YQ6OLfn8+/eDQD3lO83Px2BcfUufjMBycU3cOvzt1m+wwUUDTQ9yjQ1NXu9pVVzvluQQ6IU4rym9IrfUg8KIsx7uAK8a+PgKcU+CmiWVkKMUlfh+bXE5602kabDbWOx04xwLNqGnyq2CYn4yESANnuZyc53Xzw+FMkDjb5eTjzXUVF+wilsazhLXffEZm8WFLa4w5rpNZ0mQJEyUCXqzh4oe6/SP7OTJ6mFesefmy32t3w25+3PFj3rjhTdgMmam9XCYHuekhbrP/9JZvh8JTx3RKoBNiqsr67ShKntNQbHE52eKaufzEvniSH04as/VUIsnFXjcfbawlpTVB02J/PInPY+CtoC7biGUtejcJyEywcI2tVVdtmz14WMEwyrf4Sp0R8JE6cnLR78+XH3f8iOe1PK8g23i1eFqodtbw4MADXNRUsnt4l525qnGHhkeod57++fBAJLM93QXNM8f5Tb6OBDwhJNSJEtKRnLp8xCsCPgZNk2eSKe6KxCaOv7e2itfWBBY9W7TURKylTZQAqLIZjJizhzqtdWaNuUUuPgygAj7MweCi358Pz4w8w6noKV6z7jUFu+f5DXv49YlfS6hbgvlCHDAR5EZCIZyuzCztC1dlFg/eGyx+hViIciChTpSMNsfpj6NTZSZQ2JXiF9OW0fj+8CjbXE6qDEWTw05gjupUOQgvYd/XcVWGwZBpspbs1SsdjqEcdpRj8X/ljSof1lBxQ91Pj/wfz25+DnajcD+6dtTu4NZTt3I8fJy1/rUFu2+5m61LdXKIOzw4CECTy0UomQTgJW2tADw2OMT9p7oI+P1Trvvo0PCMcXVCiAwJdaJkrHPY2Ol28Xg8QY1hoz9t0phlx4kU0GuafHsozLkeF8/zeTjDvfj114otvIQtwsYFDIOB9OyTJcyRUYzA0naCMAI+rFAUnU6jijCu8UjoCEdCR7iq/aqC3tdu2NnTeD7XH7+ev93+twW9dzkaD3PjQW62ELevqwuAFo+HVPr0WpUPRjL/iHP4To+lG+963ez3zRhXB9L1KsS4yhmYJMpes93OdreDjzTWcnnAy1aXExPwT+uabHfYeTSW4EAyxc+CYb46MELf2L/yy1HItPDkoft1wJx9vT9rOISq8s36ei6UzcCo9mMOjCzpOot17ZFreVbjswpapRt3QcP53Nd3L0OJoYLfu1yMLz/y6NAwjw4Nc2h4hKFINNOdmkyy79gxEqEQ8e4uThw7Squ2aNUWKhqZ8tgzaezcePfrOAl0QsxNQp0oGT6bjef7vAylTa4ZCfF0PEEwbfL22io2Ox0YwPkeFy8N+PhDODrxvoPJFIdS6bLdbmzUsvAYS/urWG0z6EnPvjOHORzE8C8t1AHYaqsw+wofbHqiPTw+9Bh7GvcU/N4AfoefnXU7ue7YdUW5f6mbXp0bD3OhcJhEKMSJY0fR4RBGTzftCtoV2KORGY+5jAe6yV2vEuiEmEq6X0VJ2exy4lVwXzTGHZEYO1xOGu023lEbwK0MgqbJ8bTJG2oCmbXutEWVzc5I2mJfIsmZLieqzCZQjFoWbVm6mRei1mawLz57tdIaHsXwL637FcCoqybd1Y/r7C1LvtZCXHfsOvY07MFtW/ySLEv1nObn8M1nvsmr1r6Kend90dpRarIFuu3VVYTCYVKRCDocos3ny4S2gB97NJr1Omlv5vP5UG8/57ev4bHBoYkJEtMDnYQ5IbKTSp0oOaucTv6lqZ6/b6hhrcMOSuFUBkeSSY6n0/x4eJQfj4T4ZTDMGqeT7lSaLtPkT5EY90RjhOfohixFo3nofq232eiaY7s1czC45DF1ALa6KtKnCrv3ZjAZ5O6eu7io6aKC3ne6amc1u+t385PDPylqO0rJbIFusolABxOBzohEpjyme2xwaGKCRN3YMjwS6ISYn4Q6UZJaHXZ2e9xscjm4biTEgXiCdoeDa4ZDjEeXuNZ8dyjIHq+L9Q4HjTYbaQ2dydm7IUvRqGXhX2L3a4PNRk86jTlLF7Q5MIwRyEP3a1MdqaOnlnydhfj1iV+zo3YHAUegoPfN5nktz+PB/gc4FDxU7KYU3fRlSjb7fVzQ3Djr8iOTAx3Ars2b2LV505RzuiIRemIx+hIJQAKdEAsloU6UrGa7jbjWvLm2ilq7jUHTZHJkaXfYeW11gO8Ph/j20Ain0iYPRuP0lGGlzrvEUOcyFDWGjZOp7IHWHBjBqPZnfW0hbK2NpA4XbgHiuBnnlpO/4eLmiwt2z7l47B5evOrFfGPf10lZqfnfsELsqqudMonh/lNdpCIRuvv7poyVmxzoAB491EH3yAingkH2Dw6h/AFcgQAb6+unBLorWpok0AmRAwl1omQZSnGZ30eD3UZ/Kk29zTblA3tZwMu3h4J0JFMMmBa/Gg3jNgxuHA1zKlkev3AtrQlb1owZvoux2mHnQCL7uDqzbyg/oa6pDms4iBWae1B7vtx68lbW+dfR6J65m0CxnFt3Lh67lx93/LjYTSmqbCHrgd7+ia+7+/toG1uWZPI4uumBLu33M+x0YQWqcAUC1AQC1Pm87KqrnQh0QojcSKgTJa3WbuNFfi9vq6/hXK+bv2+owanArRRB02J6Z+PdkSjtDjvDZVKty8x8VdjyMLljvdPOQ7FE1tfMgRGMmqV3XyqbgX3dKhJPLn/3Y9JM8qtj1/Hc5ucu+70WQinFVe2v5M7uP3JP75+L3ZyiGg9ckxcXHp8gMT6WbjzQnbd+XebcQx385qGH6UynGXY4GXa68LWvpaG9nZpAgM21NdLdKsQiyexXUTYcSvEin4cqw8AChs2Zi+1W22y02u1YWpOwLFxL7NZcbkOmRVWe2niW28mXB0YYNS2qJu2Na0VikE6jlrBF2GTOLe3E7nsCz8U783K92dx+6ne0eFpY5Vu1rPdZDL/Dz5s2volvPfMt/I4A59SdU+wmFcXkcXVDkSihcJjOgQF0OIQtHMYeDrGqunoi0Fk+H6eCQUIOJ2mnC6u+ESMQoLmtjc21NQBSnRNiCUr7N54Q07htNja6HKBhtcNG46QtwgzgqiofEUtjotg7xxIfpWIgbVJty89fwxqbjfM8bj7dN0R60oSJdM8ARn1N3pZ6cZ61hfjdj6DnWBdvqeJmnJ8f/TkvaH3Bst1jqdq8bfzF+r/gc098lof6Hyp2cwpu8szXocjp7tUWjwdbOMyqgJ9V1dUAPHL0GDc9/gTHTYthp4tk2ypoW0VDezsb2tsnqnMS6IRYGqnUibLT5nDQbLdz02iY99dXcyyZQgNrHHbujkRxKYO4ZefBeIJd3uKta5aL/rSZt0odwMsCXv5naJRrhkd5V13mF6rZ1Y+toSZv97A11GBrrid+7xN4nnte3q472U0nbmKVbzWrfauX5fr5siGwgTdvfDNf2/tVrlp7Fa9a92oMVdn/Vp6+p+tmv48Hxqp045Mj2gOZ8Zungpm9gtP+ACGnC8vlJtDSOjF2Trpahcivyv7pIyqWTSl2uJx8e3CEgM3g0Xicbw4GqbXZ2eN1YyiDqjL45dqbTlNtW9rCw5PZleIvavxcPxpmYGzdutSJnryGOgDX+TsIX/+HvF5z3FBiiOuP/YoXt126LNfPt3Z/O+/b9j7u7LmTTzz6CQbiA8Vu0rKZHuhmk/b6OBUKM+x0kWhpJehyT1Tmmtva2NO+RgKdEMug9H/rCTGLzW4X/9BYS0cixVkuFx9uqOUMp4MfDo9iBy7yLX2x3eV2MpWmPk/dr+NqbDbOdbu4YTQMQOrISWxN+d0BwXXOVpIdJ5ZlIeLv7P8O5zWcR4O7Ie/XXi41zhr+cstf0uhu5K/v+wA3HL+BtFVe6yUu1YWr2nD4fCh/gG5lYLW0Qtsq3K1tXHDuuWxob58S5mSpEiHyT7pfRVnb4nLyVDzJwUSSG0fDpFH8Y0MNAZvBZpej2M2b14lUmrPczrxf9yKvm+8Nj/L22ipSh07gOie/23ophx33nu2Eb7qTmr96Xd6u+6eeu+kYPcT7z3h/3q5ZKDZl44WtL2BH7XZu6byF3568hXdufhfnN55fdlvX5WJXXS2PDg1zKBzhguZGHujtJ+D3c+bYThCDycyY1vEJEJesOT3hRYKcEMtDQp0oa1U2G6+t9tORTHFJ2kuz3cZmpxNXnqtfyyGtNZ2pNC1L3Pc1m1aHnRrD4KGBYdp7B7G15n+dN/eF5xD8z59S/c5XolxLD6bHw8f57/3/zVs3vhWHUfqBfDZN7ibetultHBg9wP8c/B6/OHYtb9/8DnbU7ih20/JuvPv00aHhicWCx42vNTeZhDkhlpeEOlH2/DYbOz35D0bL7WgyRa3NwL1My65c4HXz2L2Ps2H9KtQyBEdbYy329lYit92L/xXPX9K1uiKn+NdHP8Flqy4vySVMFkopxbbqbWyp2sLjQ4/zpae+SJu3jTdufBPba7aXbeVuciibPL5uenjLdr4QYvlJqBOiSO6PxtnsXL6K1LkeFz13PUpk6zqql+kenhedz+iPfo33kgsxFjnT+IG+B/jGvm9wSduLOLd+Z34bWGSGMthVv4tz6s7hscHH+MrTX6bGWcMr2q/kWU3PwmnLf9d7oUhgE6L0SKgToggilsWNo2HenIddHmbj2X+UHfuP8tPn7uJ9loVvGSqCjnWrcG5qZ/hz/0Pdx96DyjGkhlNhHht8jFs6f0NvvJe/WP861gfW5719pcKmbOxu2M2u+l08M/IMvz5xE9/e/99jx85jW/VWWrytFb8cihBieSmtp2+0VP6UUv3A8bGnDUDlrjGwOPJnMlUDsF9rfVkhbqaU6r/ovkeqnE1NzuF7/zyyHPf4+O8e8114YsARdDl0xxkbFEC6pyeZeuaZ6HzvXSinMozza1qqAG7qOzLw/mfuPD79nOZnNQf2fHL3jNkaVsrSw/uGRy2rsD+IdNpyKbuRfU+1AnEGHPbqTXNvyBsfSqT+9P/+tC8xlOgp1OcTZvwMXYhy+9ki7c2fgUJ+RkV2FRnqJlNKPay13l3sdpQS+TOZqlL/PErt+yql9pRSW6D02rNY5fZ9SHtFpZFavxBCCCFEBZBQJ4QQQghRAVZCqLu62A0oQfJnMlWl/nmU2vdVSu0ppbZA6bVnscrt+5D2iopS8WPqhBBCCCFWgpVQqRNCCCGEqHgS6oQQQgghKoCEOiGEEEKICiChTgghhBCiAkioE0IIIYSoABLqhBBCCCEqgIQ6IYQQQogKIKFOCCGEEKICSKgTQgghhKgAFRnqLrvsMg3IQx4LeRSMfD7lsYhHQclnVB6LeIgSUJGhbmBgoNhNEGJW8vkUpU4+o0KUp4oMdUIIIYQQK42EOiGEEEKICmAvdgPKUWe4k2PhY9iVjXWB9bR6W4vdJCFECQkmgxwNHWU4MUSrt431gfW4bK5iN0sIUeEk1C1Qx+ghPvrIR4mmowA0uhr5t13/xhp/e5FbJoQoBaFUiGsO/pDbu2+fOPbXZ/w1l656MUqpIrZMCFHppPt1AUxt8usTN08EOoD+RD8PDz5SxFYJIUrJifCJKYEO4LsHv0tPrKdILRJCrBQS6hYgbaU5Hj424/jJyMnCN0YIUZLC6fCMY3EzTiwdK0JrhBAriYS6BXDZXFza9uIZx/c07ClCa4QQpajN04bTcE45tiGwgUZ3Y5FaJIRYKSTULdCFTRfy2nWvxWE48Nq9vHvLu9leu73YzRJClIjVvtX867mfZLV3NQA763byd9s/RMAZKHLLhBCVTiZKLFC9u543bXozL1l9GTZlo8HdUOwmCSFKiFKKs+vO5vN7vkAkHaHGWYPH7il2s4QQK0BRK3VKqcuUUgeUUh1KqY/Mcs7zlVKPK6X2KqXuKnQbs7EpG82eZgl0QohZVTmraPW2SqATQhRM0Sp1Sikb8C3gUuAk8JBS6iat9b5J59QA/wVcprU+oZRqKkpjhRBCCCFKXDErdecDHVrrI1rrJPAz4Mpp57wR+JXW+gSA1rqvwG0UQgghhCgLxQx1q4DOSc9Pjh2bbAtQq5S6Uyn1iFLqrQVrnRBCCCFEGSnmRIlsS6vrac/twHnAiwAPcJ9S6n6t9cEZF1PqPcB7ANrbZXcHUVrk8ylKnXxGhSh/xazUnQTWTHq+GujKcs6tWuuI1noAuBs4J9vFtNZXa613a613NzbKelCitMjnU5Q6+YwKUf6KGeoeAjYrpdYrpZzA64Gbpp1zI/AcpZRdKeUFLgCeKXA7hRBCCCFKXtG6X7XWaaXUB4DbABvwfa31XqXU+8Ze/7bW+hml1K3Ak4AFfE9r/XSx2pxPkVSESDpClbMKt81d7OYIIRbI1CZD8SEchoMaV02xmyOEEMVdfFhrfQtwy7Rj3572/IvAFwvZruV2YGQ/3z3wXQ6HDnNu/bm8ddPbWBdYV+xmCSFy1B/r5+bOm/lN581UOat45+Z3sqfxfFw2V7GbJoRYwWSbsALrjnbzr4/9KwdGD5DWaR4aeIgvPf1FRpOjxW6aECIHWmt+3/17fnX8OhJWgv54P59/6vMcGj1U7KYJIVY4CXUF1hXtIpKOTDl2PHycnlhPkVokhFiIYDLIbSdvnXH8YHDGpHwhhCgoCXUF5rN7ZxyzKzsem2wlJEQ5cNlcNLlnbm5T46wpfGOEEGISCXUFtsbXzqVtL55y7M0b30ybt61ILRJCLITH7uEtm96CXZ0ektzmbWNbzbYitkoIIYo8UWIl8jl8vG3T23h288UMJoZo8bSwsWojNsNW7KYJIXK0vXYHXzz/SxwPH8dtc7MxsJEWb0uxmyWEWOEk1BVBtauaXa7zit0MIcQiGcpgU9UmNlVtKnZThBBigoS6CmNpi47RDh4ZeATQnFu/iy3VWzCU9LQLMV0kFWF/8BkeG3ycFk8LO+t3stq3utjNEkKIRZFQV2EOBg/yzw9/hLROA/Dzoz/ns7s/yxk1Zxa5ZUKUnj/1/olvPfOfE8+b3E38x3mfptXbWsRWCSHE4kj5psL8oeuOiUAHmVXvbz15WxFbJERpGowP8qOOa6Yc64v3cSR0pEgtEkKIpZFQV2HC6fDMY6lQEVoiRGmztEXCTMw4nrbSWc4WlUpbFjot/89FZZBQV2TxdJwjoSPsH9mfl10lLmm7ZMaxy1ZfvuTrClFp6t31vKL9yinHXIaLdf518753ID7AvuG9dIZPYFrmMrVQLDedTtP3vv+g+y8+jDkULHZzhFgyGVNXRMOJYf7v8P9x66nfArApsIkP7fh71vjXLPqaZ9Zs52M7P851R3+JhcWr172GHbU78tVkISqGoQxetual1Dhr+N2p37Hat4pXrX01awNr53zf/pH9fOaJTzOcHMau7Lxry7u4pO1S3HZ3gVou8iV21yMAuLZvJHTt76h532uL3CIhlkZCXRE9M/LMRKAD6Ah18JvOm3n31vcset06t93NBY0XsLNuJxqN2ya/aISYTb27gSvXXsmlbZfitDmxG3P/SBxNjvKNvV9nODkMQFqn+c6B77C5egtbq7cWoskij2J3PYLr3G3Y21sJ/fBGqt/7GpRSxW6WEIsm3a9F1JFlA/CHBx6esTfsYrhsLgl0QuTI6/DOG+gARpIjdEY7Zxzvi/UtR7PEMks8dQjH5nZsrQ3otIl5Sv4/ivJW1FCnlLpMKXVAKdWhlPrIHOftUUqZSqnXFLJ9y219YMOMY2fVnY03y/6wQojiq3JU0eKZuXNEvbu+CK0RS2EOjqBTaYy6apRSODasJrH3cLGbJcSSFC3UKaVswLeAy4EzgTcopWYspjZ23ueBiluX44yaM7i4+dkTz1s9rbyy/cqcKgZCiMKrcdXwN2d+EJ/dB4BC8eaNb85pcoUoLamjp7C3NU50t9pWNZLcf7TIrRJiaYqZHs4HOrTWRwCUUj8DrgT2TTvvr4HrgD2Fbd7ya3A38Ndn/DVXrX0lSTNFm7dN/sUvRIk7q+4svnrB1+iN9VLlCLDKtxqXzVXsZokFSp/owdZYO/Hc3tpI/N4nitgiIZaumKFuFTB5cMpJ4ILJJyilVgFXAS+kAkMdgM/hY2v1tmI3QwixAK3eVtl1osylTvZi1FdPPLe1NJA+0V3EFgmxdMUcU5dtipGe9vxrwIe11vMuBKWUeo9S6mGl1MP9/f35aF9ZGk2OcmBkP0dCR4in48Vujhgjn8/yEEqOciB4gCOjh4mbK+vvz0r7jJpd/djqToc6o9qPTiSxQtEitkqIpSlmpe4kMHlBttVA17RzdgM/Gxvz0ABcoZRKa61vmH4xrfXVwNUAu3fvnh4OV4STkZN85ekvc2hsVu1lqy7njRveQK27rsgtE/L5LH2nIqf42t6vsj+4H4BL2i7lzZveTL1rZQyJKMRn1NSaW0IR3MrgEr+nqMuHpPuHcF109sRzpRS2xjrSp/pwbltXtHYJsRTFrNQ9BGxWSq1XSjmB1wM3TT5Ba71ea71Oa70O+CXw/7IFOpHZ4/WWzlsmAh3Arad+yzPBZ4rYKiHKg9aa35363USgA/h91+3sHd5bxFZVnm8NjnD9aJjvDQW5MxIralusgRFs1YEpx2wNNaS7ZFkTUb6KFuq01mngA2RmtT4DXKu13quUep9S6n3FalcpGE4M80D/A/zy6C95sP8BRhIj874nmory0MCDM44fyrIWXjbxdJy+WB+R1NLXyBOiVERSEfpiffMORYims//9eXLoCR7pf5jB+MByNXHFOJBI8odwjHfVVnFllY//HSnentQ6ncYKx1CBqctHGbUBzN7BIrVKiKUr6toZWutbgFumHfv2LOe+vRBtKrZYOsbPj/yMuJWg1lnLz478nC1Vm3n75nfMuQ2R1+7l7Lpz6DnVM+V4trXwpjsWOsoPDv2AxwYfY2NgE+/d9l621cjkDVHe9o/s5+oD36FjtIOd9Tt5x+Z3sj6wPuu5brubc+p20hmZurDwat9qHhp8mDu6/8D7tr2PKmdVIZpekX40PMoL/V68hsFWl4OfBkN0p9K0Ogr/a8gcGsUIeFHG1LqGUVNFuqvyxxOKyiU7SpSYrmgXzZ5mnh5+iuuP/4oGdz0+h59T0VNzvs9m2HjFmlfQ6jk9I++ixos4s2bG0n9TBJNBvvDkF3h08FE0mo7QIT752L/SHZVZYKJ89US7+eRj/8qh0UNoNI8NPsYXn/wCwUT2Tdttysblqy9nlXfVxLGddTvpifZwb+89tPvb5/07KGY3bJo8Fkuwx+MEwFCKrS4nj8YSRWmPNTSKUeWfcdyorSLdI1VZUb5kldsSM5oa5YeHfoiFBcB9ffehG+HCxgtnnGtqk45gB08OP4nDcHB27dl8dvfn6Ip24TAcrPatxu+Y+YNrst5Y74xtjyLpCF3RLlmyQZStrlj3jO32OqOd9MZ7qXZVZ32P03Dw7q3vYSgxiMfm5Vj4GD8/+jMA/vfwT1jrX7vs7a5Uf47EOMPtxD2pMrbWYeepeIKXVvkK3h5zOIgRmLlzj60mgNk/XPD2CJEvEupKzGB8cCLQjXtw4AHesuktM859ZuQZPvrIv2DpzPlum5vP7v4cZ9WdlfP9PDYPdmUnrdNTjo+vmC9EOcr2+bUrOx6bJ+v5g/FBPvvEZzkSPjJx7Kq1V9HsbqY33gvAifBxLmq6aHkaXOHujcQ5w+WYcqzdYeeG0eKM4bVGQij/zFBnVPsxB0cK3yAh8kS6X0tMlTMw41i9q54qx9SxPKZlcuPxGycCHUDcjPNA/wNTzgunwhwLHaU31pv1fm3eNt6y6a1Tjr1k1UtY41uT9XwhysEa3xouX335lGPv2vIu3IabE+ETMyYfHQsfnRLoAH578rdTtvFrcDcuW3srmaU1TyYSbHY6pxxvcdg5lU6T1oVf4ccaCWH4Zo5RVj4vOpZAJ1IFb5MQ+SCVuhKzMbCRM6vPZF9wH26bm90Ne7hi9RXUuGqmnGdpi2ByZMb7e6M93Nt7L2fVncVQfJBv7PsGB0cP4rP7eO/W93Jx87Nx2k7/cLUZNi5bfRmbqzbTG+ul3l3HhsBGfA6p1Iny5bV7edPGN3NR00UMxodY411DX6KXzz31WVJWiue0PJdzas9hS80WABJmcsY1NgY2si6wjo2BjcTM+LzjU0V2J1JpfMqgyja1huBUilqbjZOpNOucjlnevTzMkRDKM7NqqwyVqdYNjWBvlRAvyo+EuhJT727gH8/+J05GOhmID/Cr47/i6/u+xmvWvYZnNV08MfvOYXPwsjUv50joCC6bi9HUKABrA+v47JOf4YNn/i339t7LwdGDQGac3Ff2foU23yq2Vm+dck+v3ctZdWdxFrl32wpR6qqd1ZxbvwuAh/sf5gtPfWHitaMdR3nrprdR566jwd1Au78dj81DzIzhNJy8ZdNbeWLocb5/8H/YWX9uZhKSjDFdlAOJJO3O7L9qmu02jidTBQ911kgIo2ZmrwiMd8EGJdSJsiShrgQ1uBs4Genk6/u+PnHsW898C5fh5gVtL5g4tsa/hjdtfBP98QFW+dqwKTu3nvwtADeeuIEWz8xfQt3R7hmhTohKN31YAsBQfJCDwYPcevJWVnnb+Pddn+JXx69jnX8d1x//FUOJIQDu7P4jJ8Od/Nuuf5clTRbhYCJJi92W9bUGm42T6XTW15aTFQxha8se2oyAjKsT5UtCXYm6r/e+Gcd+03kzFzdfjNPmpDPcySce/Tgjk7pg33/GByaWIvHb/XhsM8eM1DhrlqvJQpSs6bPAWz2teOwePvvkZyaObanawkfO/mdORE7w0yM/nXJ+R6iDnliPhLpFOJJMs9vjyvpavc3gRLIIoW40guHLPmnGCHixhkcL3CIh8kMmSpSobPu11rnqsKnMv3gPBA9MCXQAvz5xE3995t9gUzZet+EveEHbC7Gr07n9Ra0vmnXxVSEq2YVNF+IyTgeLS1e9mJtOTNmVkIOjB+mMnMBrzzIrEgOX4ZxxXMzvRCpF8yyVunq7ja5UEUJdKIryZl/M3fB5MAezr2coRKmTSl2JOr/hfG44fv3EWlt2ZeeVa6/CZmR+OMbNmfsmRtIRTkSO86U9X2ZtYC2D8UE+tOPvSVkpWj2trPavJuDIPo5EiEq2tXorn939OTrDnaR1mkZPI0lr5uSImBlnS/VWnt38HP7c+6eJ41eufSVtkxYmFrmJWRajlkWtLXv9oN5mozttFrhVYIUiKG/2Sp0KeDGHpFInypOEuhK1oWoDn9v9efYH95OyUmyr3samqk0Tr2+u2oyhjClLmjy7+Tncduo2NgY2YWHxmSc+zWAis49hg6uBT+76NwKOAFpr+uJ9pKwUje5GXLbsXSNCVApLWzgNJ3Erzh+7/8ALWl/IeQ3n8fDAwxPn+Ow+al21+B1+/nLrX/Lc5udyKnqStf51bK3eisNW2MH8laA7bdJos2EolfX1WpvBiGmS1hr7LOfkm9YaKxzFmKVL2PB7SZ2SrcJEeZJQV8LWBdaxLrAu62sBRxUf2v733Nz5a4KpUS5svJChxBBOw8lTw09h6vREoAMYSAzwp54/0biukT903cGPOn5E3IxzcfPFvHXT22Rmn6hYQ/Eh/tD9B3525KekrBQXNF1AwOGn3beWOlc9Tww+zirfKs5vPJ9EOkHcjFPvqueiZlloeKm6Umnqbdm7XgFsSlFlM+hPmwXbA1YnkqAUapYZt4bfhzkilTpRniTUlakjoSPc3XMXexr2cDxynD903UHcjPPebe/DbXdz68lbZ7zn0OhBDgYP8p0D35k49ufeP9PoauLtW96OoRY+xDKcCtMb68VpOGn1tmI35CMl8kdrTXc0s+VXo7txxnqNc4mmozw2+BgD8X6u6fjhxPH7+u6j0dWI3bDz5NATnFFzBoPxQZJmkkcGH6HB3cAavyy+nQ896TS19rl/rtTbbPQWMtSFoxizjKcDUH4P1ki4IG0RIt/kN3AZiqfjJK0k6wLrafG0UOOsocXTikLxo45rsCkbr2h/BU8OPTHlfS9ofQEdo4dmXO+u3jt51bpXLegXJsDJyEm+ue8b7BvZh03ZeO361/GK9lfIuD2RF0kzyd09d/GdA98hbsZp87Txj2f/05RhCHN5cugJvnvganbWnzvjtUcGH+FZTRdz1dpXEU1HafW2cdOJm9jduIekVZxN5itRdypNjTF3qKuxGfSl00BhhoHMNUkCMt2v1qiEOlGeijr7VSl1mVLqgFKqQyn1kSyvv0kp9eTY416l1DnFaGepORk9STgd5lfHruN45ATfeuZbXHv05/z86M8YSY4wmBikyd3EVWtfhV3ZsSs7r1r7as6uO4cmT/OM6631rcVtn/2HXDZpK81Nx29k38g+AExt8rMjP+Vg8EBevkchjoeP8/V9XyduxgHoinXxzX3fIJQMzfte0zK5ufNmwqkwdc7aGa+3eduIpiOEUyGu6fghPz3yfwwnh9latZWB+GCWK4rF6Emb1MzR/QpQZRj0FXCyhBWeO9QpjxsdT6CLsH6eEEtVtEqdUsoGfAu4FDgJPKSUuklrvW/SaUeB52mth5VSlwNXAxcUvrWlJZQK8YOD3yet05g6jd2wz5jJZzPsvHXTW3nJ6pegUDS7m7EZNrZVb2Vr9TYOBPcD4La5eePGN+HOsqZdV7SLzvAJ7IaDdf511Lvrp7Thvv6Za+kdCR3lvIbdef6OxUrUE/v/7d13nFxlvfjxz3PO9NmZne2bTbKpGxJSCSkU6UWKAmK5XkGxXX920GtXvN6L3isIdr0IooKKgBRBDIL0K4iUEEhCejbZJLubrVN2+jnn+f0xk2V7ndnZ8rxfr31l5syZc57ZPDvznec8z/fb3G/b/sh+WhJH8Q1QI7kXkVn4kLSSmNJirncuh6KHgMz2S2svo8ZTw+udr7OhfAMu3c1JlRvZEdyJy+ZiY+WMf5vJiVbD5MRBFiQcU6xrNE9wUKe5Bm+T0ASa140V6kIvC0xYuxQlFwp5+XUDsFdKuR9ACHEXcCnQHdRJKZ/vsf8LwJwJbeEklTATGDLzLfL5ln9w/uzzefjQw92Pz/XOZbFvMTbNRqWrksboEd4IbqfcVcEszyy+tupr1HfVkzSTzPXOHXD+0N7wXq595Rt0GZnLEIt8i/jKqq9QnV1Q4bF5WFq8lBdaX+j1vBpPTb5etjLDlAwwwlbhqmBz22aKHcWUuwYv46QLnbfNfTsvtLzAAwfv58I5F3Ja1ekEHAHakq1E0hHKXGUcjh4ibsYRCH6w/QekrTTXrvlmPl/WjNJmmhSP4PLr9kT/9DL5IqNxxDCBpijyqKBOmZIKGdTNBg71uH+YoUfhPgI8MtiDQoiPAR8DqK2tzUX7Jq0adw02YcOQBk2xRlq8c3j/4g/QnmhjXtF81pSuocJdQdJM8viRv3Hr7lsxpYnX5uWrq77G6rLVlA6Q3PgYwzJ44MD93QEdwL7IPrZ2busO6py6k39Z+F7eCL7RXXd2ffkGlqoSZAOaSf0zVxb4FvCO2st5oOF+AByag0trL+X3+37PbO+cIYM6gBpvDV9a9WVea9+CRGLX7Ny5//cEU0FuWH8DmtA4v+Z8Groa+GfbP7EJG+9beAVLi5dOxMubdHLdR00pCZkW/kFy1B1TXIjLr0OM1EFmXp0Z6kIlsVGmmkIGdQMlJZID7ijEWWSCurcMdjAp5S1kLs+ybt26AY8zXczxzuGa5dfw4zd+TMpKsbVjK2+dfQHvWfCeXvs1dDXw6z2/xq276TK6iBpRfrD9+9y04fu9LqX2lTAT7I3s7bf9cPRQr/uL/Yu5acP3ORI7glN3UuutVWWUBjGT+meueO1eLp57MT6Hj4SZQBOC+w/eT9yM05oYPo/Y7uAubtp2Ix9f+gn+dOABDsUeQRMaVy2+ivlFmcoqs7w1fHHllzgab8am2ah2z+pO8D3T5LqPBk0LjyaGzT9XrOu0m9aQ++SSFY0jnENXB9E8LqyQWiyhTD2FDOoOAz2v+80BGvvuJIRYBfwSuFBKqWYwA7qmc1r16Sz0LyKYClLmKGOWZxZNsSY2t29md2g3J5aupcjh4221byNhJil3lvN081Mc7DpIKB0aMqgrshdxRvUZ/epfLi9Z0W/fak811Z7qnL9GRQEoc5XRGm/hkSO9B+nnF80fcP9IOsLO4E52h3fjsxdx/uy38stdt3L+7PM5RT8Vl+5iafFSbt55M3XFdawtW0uNp4Z5g+SDVMauwzQpHmaRBIBPE0Qti5SUOCYgAbEViSJcQwd1wutWK2CVKamQQd1LQJ0QYgFwBHgv8L6eOwghaoH7gfdLKXdPfBMnL01omflw3kxcHEx2cuPW77E7nPk1Vbor+Ouev3bXhxUIPlT3ITYd3kTAHhj2+GfXnENjrIlnm5/Brtl574L3siywLF8vR1EGZNMy5fHak+282PYiLt3FVYuvoq64rt++pjR55NAmfrvvt93b6vx1nFJ5Cg82PAjAmdVn8kzzMxzoqufJpidY5FvEf5zwLUqc/efvKePTYZr4h5lPB6AJQbGu0WGYVE9ArjorEh/28qtwO7HC0by3RVFyrWBBnZTSEEJ8GngU0IFfSSm3CyE+nn38ZuCbQBnwc5H5BmdIKdXSygE0RBu6AzqbsGFJqzugA5BInmx6ki+s+MKQ8+mOqXZX85njP8O/LPgXbEKnylM9puTEijJeNd5MfrqWeAsOzUGVuwoxwIhOc6yZu+rv6rVtT3gP68vXAzDXM5faolqebn66+/F9kX00dB1UQV0edJgWPm1kI28BTaPNnJigTkZjaCVDr54WbhdWcPjUOYoy2RQ0+bCUchOwqc+2m3vc/ijw0Ylu11RkWm9ONNaFTtpK99snakSpdo+8HJhTd6rM+sqk4NJd1BYNPXnfsIwB+/0c7xyuX3cDbpuba/55db/HTTnxBeVngg7TxDuCkToAv67TNkGLJayuGPbhFkp43VjtoQlpj6Lk0pB/cUKI0qF+JqqRyvDmFtVS7crMbTu58mQW++vQ+vz3XlJ7KcXO4kGPYUaipOqPYBxVUxcVMJpaSdUfwYrFC92UEalyV7GhfEOvbT67j8X+Oo4vOZ5ZnlmcXNG7nmulq5K5wwSLyth0GCZFIxyp82mCdnNigjoZTQx/+dXjwlRz6pQpaLiRulfIrEgdbKXqwpy3SBmTclc53zjhWnYFd/FU01P8bt/v+NCSD/N/zc8SToe5ZO4lvKX6tEGfn9p/mM4bbyf9xn6Ez0vgmivwnL4WYVeL+mcaK5Ek9uSLhH56FzKWwHnCUgLXXIl93shHeQvBZXN1l6l7vfN15nrncvascyiyF2Ue1118aMmHqStewv81P8uKkhWcN/t8KoZJjaKMTYdpUWMb2Upiv67ROlEjddE4wj3c6le1UEKZmoYcqZNSLpBSLsz+2/dHBXSTzLyieRQ7itkW3EpTrJHf7Pk1PoefUyvfwtk15ww6b8iKxQn95A+k39gPgIxE6fz2rSSz95WZJb2ngeANv0HGMuW5kq/uJPSrB7ASk7smaluijRu33ciO0A5WlKwkbsS5cdv3OBA50L1PlbuKd85/Jzes/x4fWfJR5hXNK1yDp7lO06RomBx1x/g1beIuv8ZGsFDC40JGYhPSHkXJpWHn1AkhbIAppZRCiLlkEgTvlVJuyXfjlNELpd+cB2JKk1faXmZrx+tcPPcivHbvgM8x20MkX90JmsC8/GTalvrREDiiHdhaOrBVqivtM4lxqH95rsTft5Defxjn8YsK0KKRiRkxgqkgwVSQxlgmO5ImNCxpsq1jK7pmY45nDj6HD4c+9EiNMn5B06JohHPqinWNHcmJqSohY4mR5amLqNWvytQzZFAnhPg34HqgSwhxHfBFYDNwghDiV1LK6yegjcoozPHM7rftlMpTKXEOHpgJrxu9spSu923kp+VPsT9+EICV+go+GfxXqoXAVqFWB84ERmMr2O34P3gpRmMLsccy9X1ttdVYoS6kYSBsBV1fNagyZxnH+Y9jV3hX97Z/Xfg+frHrF911X9eWreVTyz5FpbuqUM2cMcKWNeI5dX5No20CEhBLKZHx5IhG6qyuOFLKAVdaK8pkNdzXqGuARWQqOfwQOEVK+V7gBOADeW2ZMiYLfYv47PFX47VlRuXWlp3Ivyz8F2za4B/Eur8I/79dzj9mt3QHdABbw9vYHNxC+zd+SrqhKe9tVwortecgLZ/4Np3fuZXwbx4k3dCM9x1ng8OO9+LTSby0HazJWwzDa/fy6eM/zRJ/plRdna+OcCrUHdABbG7fzGsdrxeqiTOGlJKwaY149euxPHX5JuNJhMOOGOaysLDbEDYNGU/kvU2KkkvDfeVOSSk7gU4hxF4pZRuAlDImhJi4CszKiLlsLs6bfR6rSleRNJNUuipx2VzDPEuSbG3nNX//0mA7OMhGwyT+zCuE330yh8IHcNiczC2ah8+RyfXUGGvkcPQQTs3FPN88Ao5A7l+YkjdWKoUZ7CLy+029SiOld9bjOXcj/isvJnLnX/C89VSEo/ALZ6SUNMaOcDTeQrHDzxzvXJy6k650F1EjxlWLr8Ku2yl3lPNfr/1Xv+fvDO7gvNnnFaDlM0dMSmxCYB/hKJdbCNJI4paFe4SB4FjIaBzhHnqU7hjhcWNFYmged97aoyi5NlxQ5xZCnEBmRM+RvS2yP8NFCkoBVY3i8pKw2fAcv5j1qUZ207twx0q5AKPxBZJv7OV/39jMS+0vArChdD0fP/6TdKY6+ebma4kamfkna0rXcPXyq4cttq5MDsmd9RhHWhAeF6ldB/o9nq4/QuIfr2GFo9gXz8VKJNGGuXSVb1s6tvCdLd8maSURCK5cdCXn1JzLnfvv5LEjjwKZBNzXrf02Gys2cqCrvtfzVwxQ7k7JrZA58kuvAEIIAlqmBuycPAZ1VmzkQZ3mdWeqSlQNXlJRUSab4YK6JuD72dvNPW4fu69ME87jF3HqoRSvW/vYGtkOwCm+dSzdaiLjCZIbFrE1eHv3/i92vMRpba/zbNtz3QEdZD5wd4V2q6BuCkjXHyG1Yz/hW+9HL/HjXLOUWNPfe+1jXzQHmUzjqKslfPMfsc+txrGkcCtG2xPt/HD7D0lamZW4Eslv9/2WRf5F3QEdgCENfrj9B3xjzbVs69zK9mCmT59ZfSYrS1cVpO0zSWgUiySOKdY12g2TOXmsKmGNIEfdMZl5dWoFrDK1DPnXI6U8a6IaohRGc6yZHcEdtCVbWeyax9VF76PdG0LEUxQ99Dri+b/jOv9k/rkwykWpM0nIJE91vUDcjHMwepCW+NF+xzwaV/H+ZGeGoxjtQcyOMJ5zN5J4cTt6qR/n2mUkN+8Am473ordgHDpKemc98cdfACh47q5IOkxHsn9y7LZE721nzzqbanc1/2h5nvctugJd6Lh0FzWeGtw2dTkt30LWyKtJHOPPlgrLJxmNIVwjW/ks3C6kWgGrTDEjSWlSBrwPWJrdtAO4U0rZkc+GKfnXGm/lO699mwNdB7q3fXrh/2PlF5/CNrsC5wnLYOFC9Noq1m5rQt5fDy47511xJbcVP0udeyHxkhQHowd7HXdB0YIJfiXKaMhUmq6Hn8YW8JP4+6tYnWHcp6/FikQRdhslX/839LJiwr//C6lXdnQ/TxR5sNVUFrDlUOIopcZdQ2O8sXubQFDtqe6+v658HeF0mCebnuze9vbaS7hq8VU49cJeOp4pwqaFZxSXXyGTgDjfueqsaHzE0wc0txNL5apTppjhyoQtA7YBJwK7gT3AemCbEGLpUM9VJr/6rvpeAR3Abxp+D//1fozDLUR++zBGQxNWaxDz1r9gtQexjrTiuuEhPmm9nQX1grfXvp21ZScC4NAcfKjuQywpPq4Ar0YZqdSuAwgJnTfejlF/BCsYIfrQMwCkG5qQ8QSpPQfxXX4u9iWZElq2+TWU/8/V2GoKe1m92FnM51Z8nlJnZp6TU3PymeM/S52vjs8v/3e8Ni9L/Et4ue3lXs97uOHP3bnrlPwLmRaeUY7U+TRBi2HkqUUZMjp8jrpjhMepctUpU85wI3XXAVdLKe/puVEI8U7gO8A789UwJf+SZv/l+jEzhqFLfGeciHPNUpAWkd/9pd9+3hcOIFxOSs48g6+s+got8aPYNQfVnmo0kb+Jzsr4mR0hZDTRLz1J/JlXCHzhKowjrWBZJN/Yh61uHq6Nq7C6YtjmFHaU7pilgaXctOEm2hJtBBwBKt2VaELjrJqzWFayjIORg/2eI5GkzMldEWM6CZkW7lHmdyvWNRpS+Q3qrNFcfnU5Vf1XZcoZLqhbKaV8V9+NUsr7hBD/nac2KWPUle6iPdmOR/dQ4e4/opI20+wM7eSF1hfw6G5Wla6mwllBa7K1e5+zA6fheW4fwuXEisXRPC6cp6whve9wr2NpbhfO9csBcNvczPPNz+trU3LI6UB4+l+C0op9mB0h7AtqsDpC2BbMQUZjGAeb0PxFWOkUI6vkmX9+u58jsSP86eADeO1FnFRxEnXFdVS7q7EJGxWuSloTLd37LyxayCxPTQFbPLMELQvvKC+/Fms6rWZ+M2VZ0QSMdKTO7UKG1UidMrUMF9QN1aPH3duFEBcAPwJ04JdSyu/2eVxkH78IiAEflFJuHu95p6MDkQP85I2fsDu8C7/dzyeWfpKNlRuxa2/mFdvauZX/ePWb3fcfOPgA1675JvceuJdD0QbOrjiD0/aU4q6tInTzH7E6MiXHXKeuxnPRW4htyqyM1IqLcJ60CsfS+RP6GpXcsJUHwDDQq8sxm9syG4XAe/FphH9+D1p5AM95J8Gho0TueiQzomfTsS+cjb2yvKBtP2ZLx6tct+W67vsPNTzIf629jmWBZZS7yrl2zbXcd+BetnZuZV3ZOi6ddxl+h7+ALZ5ZQqbJ/FHmNDy2+jWfrEgUbYQjdZrHRbqtM6/tUZRcGy6oqxRCfH6A7QIY1+QaIYQO/Aw4DzgMvCSEeEhK+UaP3S4E6rI/G4H/zf6r9BBNR/n5jp+xO1seKZwOc8PW6/n+hh+wuHgx0XQUS1rce+DeXs9LWkl2hnbw9TVfJ2kkKbJcJEO7iD70dHdAB5B47jUCn/8AeokPNB00DaSFXuSZ0Nep5IZjcS0ybeD/+LuR4S6MxlY0v5fopv9DJlOYR1qw186i49u3vHmJ1jDpvOE3OOrmFWReXSwdw6bZcOgOEmaCP+7/Y6/HE2aC19q3sCywDIAFvgVcffw1RI0oRfaiISuqKLkXtka/UKJY1+gwTSwp0fJUmktG42gB34j2VatflalouHe6W4HB/gJ+Oc5zbwD2Sin3Awgh7gIuBXoGdZcCd0gpJfCCECIghJglpVQ1q3roTHWwI7Sj1zaJJJIO82zTs+zv2kfMiBM3+6/kSppJXLoLl57JJW2fP5v0zvp++6XrDxN78kVkVwxMi/Ib/53UwSbSew8ik2mwJM5VddhrZ+XnRSrjltzTkFn4Eo5ir63Gtf540g1HCf70D9BnLpMVjfebcyejccxgBOFxIXQdzZf/oL4z0cHzLc+z6fAjVLoreff8dzG/aAEJq/980HA6zIMHH+SkypOocldh1+0E9EDe26j0F7FGXiLsGIcQuDRB0LQoteXnQr/VFUOvHtlos/C4MsmHFWUKGS5P3X/m8dyzgUM97h+m/yjcQPvMJpMUuRchxMeAjwHU1tbmtKGTnUf3UuospSP5ZpaZ44qPY2vnVtqT7TzZ9CROzcm7FrybveE3S4FpaKwrXw+ATBskX91J11+fw7lqCfGne68e1EuLM/NLpMR1+okYzW2kn3sVW3U50ceex71xFZ3PvkLpNVcWfIXkZFTo/pnad5jUa7sI3/YAMp4EXcP//96Nc+VifFdeTHrXQZKbdyLjCexLFyBsOth06HE5TAv4sDrDtPznzQi3k+KPXIZz/coRX84aiyeanuD2vZmk1w3Rg2xpf5WbNnyfC+ZcyM07//fNtgmNMlc5v9x9K/si+/jUsk+p9CWjlMs+GjElnjGMtpXoOm2mmdegbsQVJVTyYWUKGi6lyTeH+Ll2nOce6C++b7XwkeyT2SjlLVLKdVLKdRUVMyuoKHWV8ulln0EXb74RXjj7QgCebX4WyFxq3dq5lSsXXcnS4qWcWLaO/zrxOpYULwEgtfsAbV/+IYknX8S+aC72xXMzB9IE3svOQgv4cJ+5jpJvfRxHXS1d9z2O0dAEuob3kjOJ3PUIrhWLSby8HVN9u+2n0P3TaDxK5Hd/yQR0AKYFElLb95N8ZQfm0Q78V72dwFc/gnP1EsK3/xn/R96B8GRGcLXiIgKfu5KO/7kN82g7xoFG2q/9Oakd+/LW5vZEOw8cfKD365AG+yP7WBVYxVWLP8hx/uNYU7qGD9d9mL8efgSAp5ue4ugASbGVoeWyj3aN4fIrQEDTaMnjvDoZjY+8ooTbidUVz1tbFCUfxrJQwgt8BCgjk/JkrA4Dc3vcnwP0TSQ1kn0UYG35Wn6w8Yc0xhoptvspdgQ4HD2MXbNjmJlLa693vMaO4Bv85wn/xbLAsl7zjFI7D4DMxMvhX/8J95nrcZ+5Hsea4zAaW5HRGO6z15N6o56uP2Q+PI36IyRf30PJ567ENqcamTaQpkV63yH0E1Qaw8lEJtNYwUivbXp5MZ3fvrX7/z20twH/R9+BY81xmSD+9BNxn34iVjCCFvDR+d3bMpffe0i8sBXXCcvy0mabZsOtuwmnw7222zU7c31zcdvdLPIv4q79f+C23bchs9/3dKH3+oKjTKy0lKSkxDWGkTq/rtGax6DOiiZGPFIn3C5kLIG0LEQe69EqSi4N2VOllDcd+wFuAdzAh4C7gIXjPPdLQJ0QYoEQwgG8F3iozz4PAR8QGScBITWfbmC60FngW8CpVaeyonQlc7xzqHRX8tY5F/Tar8xRRpW7st/Ecc3bo3SSJYk/+SLxp1/CvmA2zuPmYdQ3YjS2Enukd21Q0gZmZxhJ9pttMIxxpAWZSufplSpjoVeWopUFuu9rpf7M3EnZJ1fdky8BEtfGldhnV2KfXYlz+SJsFaUIT//yWnppcd7aXOwo5gN1V/XaFnAEWOxfDEC5q5xaby2xdKw7oAN414J3Ue2uRimMSLaahBhDUFesaRzNYwJiGY2hjTSo0zWEw46M9Z+/qSiT1UjKhJUCnweuAG4H1kopx73OW0ppCCE+DTxKJqXJr6SU24UQH88+fjOwiUw6k71kUpp8aLznnSmEELyl+jT2h/cz2zObPaHdzC2ay7ry9VS6q/rt71i+CC5cz9GNlYQcCcrjbhZULEX3utG9bgKffR9GawfRB54Ceo/4CLeLootPQ7ichG7/MzKVKQDvOG7+xLxYZVhaRQmBa64g+L3fYIWjmSB8gNXLwuvGuWoJurf3Y8Jhw/++i2h9+Q3I1ufU/N7uXIX5sqF8A9et/Tavtr9KuauMFSUrCaXC7I88S6W7ivlF8/nqmq/xWvtrHIjUs7p8DcuLl6NraqSuUCKWRdEYR7YCukZTnkbqpJRYscSIL78CCK8rkwZFrfRXpoghgzohxPeAy8mM0q2UUuY0vbaUchOZwK3ntpt73JbAp3J5zpnEZ/exumw1q1nNBX1G7PoyZhXz2CU6Dxz+FWQH2T5b+lnOlUvBtEjtrCfx6k58/3oBwR/8rvt5WokffVY5Xfc8SurVXW8e7/BRFdRNInqRh847N1H03gsQNhtWNIbmdSM8rjdHIrK56hLPv4Zz1RJsVWW9juFYuZiKn32V9Bv7EU47juWLsM+fndd2u2wu1pStYU3ZGhJGgnsP/JG76+/ufvwTSz/BW+dcwIVzL8xrO5SRG0s6k2NKdJ0tiTwlIE6lQQiEfeTpbTSvO1P/VS3qV6aI4Xr3vwNJ4BvA13sMpwsyMZfK5jlNNHQ18MDhB3ttu2X3LSwvWUHp7jBt/34jWBLH8Qsp/sS7MVqD6OUBHEvm0XnTHZhHMtn7tYAP1/oVI04boEwMze3EfeZ60rsPkvjnVmRXDFHkofTrHyXd0IzZ2omtspTIHx7BONiEc91ySq/9GHpxUfcxhKbhXLoA59IFBXkNh2OHewV0AL/c/UtWlq5irnfuIM9SJlpkDHVfjynR87dQwuqKoWUX/oyUcLtU/VdlShkupYmaHTpDhNOhftsSZoJougvHPY925yxLvbGf1Bv78X3kHUQffpZIZxj/B95O6Jb7cJ++Fr2qjPgzL5M+2Ij/w5fhOnEZwj66zPJKblmJBIkXtxP763OQSlP0jrNJ723AaGojtfMAzo0r6fjW/2K1Bbufk3x5O8bBRvRVSwrX8D7CqXC/bWkrTTStPnQnk7BljSmdCWQSEHeaJoaU2HKcgHg06UyO0TyuzEidokwRKmhTAJjlrsGp9X7Dq3HXUOEoG/CbqtnQDKaJjMbpeuAJiv/tcuzHzafrrr9iNrWR3n2Q9q/+mNSOAxP0CpTBpLbtp+ObP8eoP4JxpIXIbx/GtX4FzrXLiPzuLxiHmnsFdMfIdH6Lq49Wtbsat957sUa5s5xKV2WBWqQMJGJauMY4UmcTAr+u0ZaH0TorEutO0TNSmbQm6kuDMnWooG4G2hveywMH7ufe+nvZHdqNJS1me2fzjTXXUuHK5Kda7FvMl1Z9iYCnjKJ3ntfvGPZFczCbMnVDzeZ2UrsPEvvLs713kpLkazvz/nqUocWffaXfttjj/8RoaAYpMRqacKw5rtfj+qwybHMn1wrSGm8N1675ZvfK1gVFC/j66m8QSgd58OCD3FN/DzuDOzGt/NYPVYYWMsc+UgdQpus05yOo64qhuccQ1Km8m8oUogoizjC7Q7v52stfJWllktDahI3/Xvc/LAssY03ZGm7a8H260l2UOEsosmfmUznXZ+ZXRe5+FOFy4PvXC+n6S+/UJjKZRiv2waHeSV81n3diXpgyKG2AtCOa34sVyqxits2pwnvRaUQf+TuJv7+KY/VxFL3jbGyVpRPd1GGtLF3J99bfSCQdIeAI0Jpo5csvfZm4mUkSqwmNb6/9DitLVxa4pTNXaBwLJSAzry6T1iS3FUFkZPSXX4VLBXXK1KKCuhnm/5qf7Q7oIJOhf9OhTd2F0EucJZQ4S3o9Ry/y4DlnI66T14Am0FwO9MpSgl1RUlt2Yautpuhd54Jl0fbF73fPv9OKi3D2GQFSJp771DV03fPom6tcbTrO9csJ/eJefB94G66TVmErC1D8b+/E976L0FzOTJmwSSrgDBBwBgD465FHugM6AEta3Hfgvn7JtZWJEzZNah1jn0cb0HWa8nDp34pEEaMdqfO4sMI5TfqgKHml3vVmmGAq2G9bKBXEkhaaGPpqvOZ581uuY9Fcyv/7M5idYTSvBz3gQxoGFT/+CqltezP5zlbWYZ9fk+uXoIySo66Wip98hdTWPci0gWPFYrQSP+5T1qBXlXZnyxdCoE+xfFwDLZ4Ip0MY0sCm3t4KImzJcY3UleoaR/Iypy6KNoocdQCa20U6O81EUaYC9a43w5w16yyebn6617YL51w0bEA3EM3jRutRZUDYbDhXLMa5YvF4m6nkmGPRXByLpl/aj/UVG/hTw596bbuk9hJc+uhGZJTcGc/qV4AyXWNbHnLVmaEuhGeUl189LnX5VZlS1EKJGeb4wHK+tuprLPItZn7RfL648kusLltd6GYpypgsLV7KN9f8B0v8xzHXO5drln+OE8vXFbpZM9p48tQBlOp6XkqFWaGuUV9+1TwurC6V0kSZOtRI3Qzjsrk4ueoU1pSdgJQSj31qXW5TlJ4cuoP1FetZUbICS1p47WphTqFFLAvvOC6/BnSNoGmRlhJ7DnPVWeEubKOcDiLcLqRKPqxMISqom6Hctv7F2RVlqlL9eXIwpCQpJa5xBGO6EJRkR+vm5DBxuRXqGn1FCa9KPqxMLeryq6IoipITx0bpxDhH2MptGkfSuV0sYUWiCO/ogn/hdCJTaWQeLgcrSj6ooE5RFEXJibBp4R3HfLpjSnWdxhynNbHCUbRRru4WmsgsllCjdcoUoS6/KhMqaVnUpwyOGgblNp0FDvu4JlUrbwqbJvtSaSKmxWy7jQUOO1qO62cqylBC45xPd0yprnE4nc5BizKkYSDjyVEnHwbQvG6scBS9xJ+z9ihKvhQkqBNClAJ3A/OBA8B7pJSdffaZC9wBVAMWcIuU8kcT21Ill0wpeawrxk096ox+tMTPu4uLcA4S2IVNk4Npg7QlqXXYKZ/ESXEnSrthcChtoCGotdsI2HRCpsnP2oM81pVJxKsD/1NdzoZRziFSlPEIj3Pl6zHlus4bydylNbFCmUuvYgxtE16VgFiZOgo1RPIV4AkpZR3wRPZ+Xwbw71LKZcBJwKeEEMdPYBuVHDucNvhJe7DXtts6wzQMcpmlJW3wPy0dfKaxlc83t/HZxhbqc/hGPxU1pNJ8oamNa5ra+GxTK9cebacxbbA3me4O6ABM4MbWTjrUXCBlAoXHWff1mHKbTmMOExBboQiaf2wrozWPW11+VaaMQgV1lwK3Z2/fDlzWdwcpZZOUcnP2dgTYAcyeqAYquRexLFKy9zZJpgD4QF5LJPlH/M2SZo2Gyf3hLgwpB9x/Jni8K0Z9jyB4azLFP2MJugb4HbaYJlFr5v6ulIkXtnIzUlem6zQbBlaO/tbNjvCo59MdI9xqpE6ZOgoV1FVJKZsgE7wBlUPtLISYD5wA/HOIfT4mhHhZCPFya2trLtuq5EiVrlOq9+5ybiGoHuSS6p5U/zk1ryZSJKZgoJKL/mlKycs9gtxjXo8nqXXY6Ts+coLLSZmuLlcrI5OLPho0zXGVCDvGqQm8QqPNzM1ondUZRvONLajTPC6sUeSqixtxUubMvqKgFE7egjohxONCiG0D/Fw6yuMUAfcB10gp+xd6zJJS3iKlXCelXFdRUTHe5it5UGG3cV1VGXOyQVyFrvPtqjLmDFL8e7nT0W/bqR5XTj40Jlou+qcuBKd5+8+RW+9xMcdh4xuVJfiyv5vlDjufKQ/g0dUiFGVkctFHgzmaUwdQYdM5nKMVsGZnCM071pE6J1Zo+JG6veG9fPHFL3DlM1fwr0+/lxu3fo9QKjSmcyrKWOVtoYSU8tzBHhNCHBVCzJJSNgkhZgEtg+xnJxPQ/V5KeX+emqpMoOUuJz+pqSRomvh1nbIhFj6scDm4xOfhz5EYEljutPM2n3dGr+g8w+vh1XiSF7Mjdud43ZzodmIXgnOKvKxwOolZFhU2nSI1SqdMsKBpDTryPlrltkxak7U5yCtttgURYxypE17XsEHdi63/5Ifbf8hbZ7+VKxZdQdpK80Tjk3zxxS9w/fobKHGWjOncijJahUpp8hBwFfDd7L8P9t1BZLJX3gbskFJ+f2Kbp+RTiU2nZARv/GU2G58sC3CJvwhDSmbb7fhm+MhTjd3GNytLOZI20IRgjt2Gu8fISJVdZSlSCidkWRTlaKSuVNcGXUQ1WmZbEL2qbEzP1Txu0q2Ngz6+I7iDH2z7AR9Y/AHmeOcAoOs6F8+9iCcan+DbW67j+vU3YNPU36aSf4X6hPwucJ4QYg9wXvY+QogaIcSm7D6nAu8HzhZCbMn+XFSY5ioTxZSSQ6k0+5MpYqaFS9NY7HSw1OXEpQkOpdI0pg3kDFwskbAsGlJpopbkOJeTyuzlqVwnaVWUsQqbZk7y1EEmrcmhnAV1nWjFRWN6rvC6Bx2pC6VCfPf1/+HyeZd3B3Q9nTXrLIQQ3Fv/xzGdW1FGqyBfHaSU7cA5A2xvBC7K3v479Jv7rUxjEdPkwXCU2zvDpIH1bidXlwWY47BzNG3w+2CEv0Si2IXgAwEfb/N78c+QS4yHUmlu7gjxXCxBsSb4emUpN7eH2J828ArB1eUBzvR6cEzB+YbK9BG2clNRAjJz6p6KxoffcQTMtuCYgzrNM3BQJ6XkJ2/8hOWB5SwNLB34uULj0tpL+fmOn3NmzVlUu6vH1AZFGamZfS1LmVR2JFP8MhvQAbwUT3J/OIopJU9FYzwUiWICCSm5pTPM1sTMWGFmSMmdwQjPxRIAbHC7uK0jzP7sKEZUSv67tZP9A6wWVpSJYkpJzJI5HalrykFaEyklVnsIrdg3pueLIveAq1+fa3mOA131nFsz6PRxAAKOACdVnsQde24fcj9FyQUV1CmTxu5k/6DkmWiMfYkUj/ZI/lmh66xxOXl9gPQe01HINPlnd0Dn5BSvm10DBHCNKtGwUkCZHHUiZwuZnJqgSGi0jjOtieyKgwBtDCXCIFsmrE/y4a50F7fs/AWX1V6GXRt49X5Pp1aeypaOLRzsOjCmNijKSKmgTpk0agaY5L/IYSckLda6nOjAB0v8nORxYSIp0jWap/F8svpUml+0B/lWSwdv83v5QLGPC3xeTCmpHOCyc65GSBRlLDpNC1+O6zhX2nQOpcb3N262dqCVFo/5+cJhBymxenyJvGPvHdQV1zGvaN6IjuHUnZxaeSp37797zO1QlJFQQZ0yacy321jRIzedTxNs8Lj4YnM7lXYb7w8U8bdIlD9HomxNpLitM8ytHSES1sAVKaayprTBl5pa+UOoi62JFHcEI7SZJncHI3y/Lci7iovoOT5wjtdNZJDKHIoyEYKmmfOgrjwHueqMlg70Ev+4jqH5PN1VJfaG9/Lc0b9zfs35ozrGhooNbG7fTHOseVxtUZShqKBOmTT8us4Cu42vVJTwgYCPt/uL+FVHJt/0rzvDzLHbOdKnHuQT0fi0XP15IJWmtU+Q9mhXjA0eFzEp+WOoiytK/HyuLMAXywMg4W9dqj6lUjidZu7SmRxTpms0pMc3V9Q82jHmRRLHaEUerGAEU5r85I2fcF7NeXhso8t759JdrCtfx58OPjCutijKUFRQp0wa5Tad5W4nR9IGdwQj3BmMEMtOkk5ISXKACdOCmbVE+thvoNU0+U1nmA7TJGRJnojFOcnTv9qEokyUTtPEq+f2r7HCpnNwvCN1zW1jXiRxjPB6sEJdbGr4CwBry9aO6TgnVZzE081PE02PvOyYooyGCuqUSeWMbIUEZ4/J1iudDj5ZWowGfLq0mHk95t6dV+TGLaZfN17otDOrT4LmtxZ5+EcswYU+Dx8s8XNVwMdKl5M/hSKc5HZykicHqfcVZYw6DJOiHP8tVtpsHB7vnLqmVrTxXn71uulsPcKd++/kktq3I8a4GKTYUcxi32Ieb3x8XO1RlMGoFNfKpOLWNFa7nHy3uowbWzsp1nXqHHZ+3pGpoSiAT5YWszuZYqHTTpHQeDIa4zRczHX0rxU7VVXZbHytooQXYkn2p9KscDk4zmGnxq7zbDTBI9nVeEVaF9dVlVHnsKuyYEpBtZsWgRxXfCnTNTpMk6QlcY5xIZBxtB3HirpxtUN4XTyzaxOnXHAqla7KcR1rY+VGHmp4iLfXvh1tGn4hVQpL9Shl0hFCcILbxXeqyrjc7+X+HjmiJPCrzjCLHHZ04B/xOLd1hvmPox1szqb9mA4OJtM8EI7yWFcUgaTGZuO3nWF0IdjdI51JlyV5INyFQ304KAXWloeFEroQlNt0jowjXY95tAOtdHwjdYeso2ihOKdVvWVcxwGY552HJjRe63ht3MdSlL7UJ4EyaZXabDQb/XNUxWXmW/vT0QTPx5I4hMCjafwuGOaNxNTPXWdIycORCElpYROC5+NJrmvt4D0BH03p/r+P3ck0sWm4AliZWtoNE38eajNX2WwcHGNibZlKY4W70PxjXyhxqKuBN9L1rBDz0cX4R8OFEKwvX8/DDX8e97EUpS91+VWZtPy6xiqXA4eAVI81EpW6jk/T2JdK89HsXJlO06TWbqcxbTDLZqPENnUvRe5MpPDpOlUI3uJxk5aSn3aE2JVKc5zTDpHe+5/ldeflw1RRRqPTtPDnIVdipU3nwBiDOrOlAy3gQ4zx7yOYCvK7fb/jrdXLcB0yyNXyhjWla/hb499oS7RR7irP0VEVRY3UKZPcXJuNj5cWU5p9U55t0/lkWTEuIbiiuIh7Q138sjPMfeEoP2gP0mpaPNE1dVeW7U+m+PrRdn7VGeH+cJTr24Ikgff4fdiEQErJ5f4iHNnPzpPcTi7yeXOWxV9RxsKQki4r98mHASptmS9wY2E0t6OXjS3xcNSI8uvdt7GiZAXlZbPRgrlLGeTUnawuWc0jhx/J2TEVBVRQp0xyHZbFrzrDnO5185+VpXy+PMAvOoL8oj2ES9MI9rns+Fgkyt5kmvYBLttOdodTaV6JJwn1eU2PRmIscNjoNExm2+3Mt+v8Z0UZ15QVY0fgzsMHqaKMRruZufSajy8Xs2w26sc6Utfchl4y+qAuko5w665bmOutZUXJCqwiJyIcH1MbBrOhYgOPHvkraUvVbFZypyCfBkKIUiHE34QQe7L/lgyxry6EeFUI8fBEtlGZHHy6hl0I/hSOcjht8PdYgibDosWySMj+88i6LIlH12CcRcAnWsQ0+XF7kMgAc+O6LAuH0AjYdJqMNPtSaRoMgx+2h4gjKVLlwZQCazVMSvL05aLSptOSXQE7WkZzG1pgdDnqWuIt/O/OnzOvaB4nlp8IgPS60HIc1FW5q6hwVvCPludzelxlZivUV/yvAE9IKeuAJ7L3B3M1sGNCWqVMOpU2G18sL8EGeDWNtuwIXFJKbELQd+bc2UVu5tpt3UmLp4pDKYMX40kCutbvj/IcrweBxWORKC2GRaVN51edYYo0wUdL/LjUSJ1SYC2GSXGeUurYhKB6jKN1RlPbqHLU7Qzt5JZdv2B16RrWlK558wGnDUwLkrkdVdtQsYGHGh7K6TGVma1QnwaXArdnb98OXDbQTkKIOcDFwC8nplnKZLTR4+JnNRX4BJzSI8Hun8NRPllWzBqng1q7jQ8GfKx0OtifTPNMNM6RcZYXmihh0+SwYSCA+0JdXFtZyqrsa/poiZ+5dhv/2dLJEcNkkcNOld3OZ0uL+WiJn1q7fdjjK0q+ZYK6/H2czLbp7E6lRv08s6l1hOlMJE81PsH99fdxbs25LPH3yWsnBNLvRuvMbSm+ZYFltMRb2Rvem9PjKjNXoYK6KillE0D238GyOf4Q+BKg8jXMYLoQxKXkqViCNsPgPypK+GDAx3q3k6aUwQdL/LzT52WeXedbLR2U2HTuDXXx4hTJW7cvleZP4SjnFLmxgFfjSTya4EvlJURNk7tCEa4s8XFdZSn/iMX5dksHT8fi7E8Z48rfpSi50pQ2cp54uKfZdhs7EqMP6oyjHeilQ8+pS1tp7tx3J1s7t3JJ7SVUuasG3M8qciGCuV2EpQudjRUbeeDg/Tk9rjJz5e2vUAjxuBBi2wA/l47w+W8DWqSUr4xw/48JIV4WQrzc2to6rrYrk0/QNPFrGrMddm7uDPObYIQX40lWuZ3sSSWptuvYhMYXygO8lkgStCy2jeFDIF+G6p/thskbyRTHO+x8vizAapeDE90uNieSJCWc4nHx+2CEb7Z0EJPwbyV+Xoon8etav8vPijJW43kPbTSM7hXq+VBrt7E9Obq/Z5k2sIIRtOLBc9TFzRi37bqVhJngwjkX4bV7Bz+ez5XTFbDHrC9fx8ttL9OaUJ9byvjl7a9QSnmulHLFAD8PAkeFELMAsv+2DHCIU4FLhBAHgLuAs4UQvxvifLdIKddJKddVVFTk4RUphRTQdU72uPh+WydHs/Pqmg2Tm9qCJCxBTMIr2WDOk51jtmESFbgfqn/Ostt4f3ERlhD8uCPEzztCtJgmxzvtVNp07gx1kZKZahpPR+N0WRYb3E6a0gaz7SrVpJIb43kPbTZMyvJYpm623UaLYRI2R37RxmztRCsuQgzSrqgR5Zadt1DsLOGM6jOwaUP/LUmvE60z9+mS3DY3a8vW8qcDD+T82MrMU6jLrw8BV2VvXwU82HcHKeVXpZRzpJTzgfcCT0opr5y4JiqTyRKnA4PM6laACl1ng9uJSxOkkDSkDJ7qinPUMFnncnKRz8Nat7OwjR6hRQ47i5wOftoe4lDaoN20CJkWEVP2qqhRrGmsdzvZm0xxub+I0zwunGqRhFJglpQ0G0ZegzpdCBY67Lw2iooxxtHBc9TFzTi37bqVWZ5ZbCzfMKIarNLrQuQhqAM4tfJUHm96glAqlJfjKzNHoT4RvgucJ4TYA5yXvY8QokYIsalAbVImMQ2IWxIbcGXAx8keFyHTYoPbxUKHnT2pFF+rKMGnacy327i6LECFbWqMYhlSsj2RQgfe7vPytYoSWtIG17d1UmnPfFBe5vdyns9D2LIot9s4aphMvUx8ynTUZpp4hYYzz6l16hx2/hEbeVoRs3ngla+GZXDHntspd1WwrmwdYoS59aTfhdbeNeLzj0axo5hVJSu578B9eTm+MnMUJKiTUrZLKc+RUtZl/+3Ibm+UUl40wP5PSynfNvEtVSaLw2mDe8NdXFMe4KVYgociUXal0vw5EuX3wQinedxsT6bYFIlhiUzJoqliayJFia7xoRI/m+NJmg2TLckUCSkp03TO9bpoN0zuDXWxK5nmkUiMO4JhmgyTyBR6ncr01JAyqJqAsnwrXA6eiyYwRpiuyGhqQ++Xo05y38F7sQkbGys2jjigA7B8LrS2/AR1AGdUn8FjRx6lI9mRt3Mo05+6dqNMGftTaeKWZFeffFV7U2mSUtJimAjg5+0hQlNoVWijYbDK6aA+labJMEj2+ND6SXuQt/q8/L3PSt5200KlHFYmg4PpNBUTENSV23TKdG3Eq9qNIy1ofVa+Ptv8DI2xJk6vPn1El1x7kn43Wkf+grpiRzEnlp3IHXvvyNs5lOlPBXXKlDDbbuMMr4voIN/SOyyL2XYbbaZJfdogNkVyD0sp0SS8mkixK5XGAtw9Rg+6pGRbIjXgH2qFTceXxxWHijIS+1JpKicgqAM4xZtZCS5HMFqXyVH3ZlC3L7yX/2v+O+fOOmfYRREDsfzuvM2pO+aM6jN4qfVFlbdOGTP1iaBMCYaUfCjgZ64ts1igpzUuJwEh2J5IIYHFDjsRa2rMOGs3LerTaV6KxVntcgDwfCzB+wO+7vJf7YbJZf7eqRbm2W0sdzomvL2K0tfeZHrCVmGvcTnpMM1+I9cDMZrfXCgRToW4u/5uzqw+gyL74ClOhuR2IAwL4vlLleS2uTl/9vn8ePuPMKfIe5gyuUyNmeTKjGVIyavxJL/oCNFmmFxd5uctbhfLnA4OpNKscTuZbbNlVo4aBhW6zgU+D+kpMlKnAwdTBlUOO4sdDuocad5Ipmg1TD5a4schBAlLUm3TKdZ16pMplrocnOJxM9uhqkkohWVIycG0Qc0EjdTpQvAOv5cftXWy1u3EO8jqb5lMY4W70AI+LGnxh/1/YGnxUmq8s8d+ciGwSjxorRGs2rKxH2cYJ5SewOsdr3NP/d3866L35e08yvSkRuqUSW13MsWXm9vYm0oTtCz+uzVIsU3n8a4YDWmDv4ajhEyTs4rcvD/g4y1eFy9E49Q6psb3lRKbztv8XmbZdJ6Kxrgy4OODAR8X+708HU1wa2cYv65xXyTK74Jh6tMG94XyN69HUUajPpWmVNcmtP5wndNBndPBLe2Dp/8wmlvRywIITeNvjY9hSYvVpavHfW5Z7EFrCY/7OEMRQvCOee/g4UMPs61zW17PpUw/U+OTT5mx9mfnmR2TBn7aHuSm6nLClqRIEwR0DV8yzaG0wRy7jYuLvCyeQpcmT/W62Z5IUabr2IHVLidHDIPzizzMsev8oiPE9mwh8QPpzAKQhrTBXDVSpxTYtkSK+QXohxf7PNzQ2smlxUUsHOD8xpEW9PIAe0K7eaXtFS6rvWzUCyMGYhV70FvD5HsZVrGjmMvnXc71r3+XGzfcNGjpMkXpSwV1yqQ20OUVt6ZRYrMxr8cigZNtNk6eyIblkEfTWN+n+sUJ2X+PpNPsTfX/CHHlOSeYoozE5niCBQWoauLVNM7yeritI8R3qsv7PW4cPopR4uaPB/7IGdVn4La5c3JeGfCgNQVzcqzhLClewluqTuPaV77B9etvoMRZMiHnVaY2dflVmdSOczqY02O+jgA+UVqMv8+qT0NK4tbUztkWMy3MPqv6ZtlsfLRPAtUNLicL7WqUTiksU0q2JJLUOQvTF0/2uHg9kaShT4ojgOSBI7wsd7MssIwaT03OzmmVFaE1dubseMM5pfJkVpSs4MsvfYmj8aMTdl5l6lIjdcqkVmO3cf2scnYm04RNizqnneP6XFrdlUhxX7iLfak0F/g8nOFxUzmFaqI2pw2ejMZ4vCvOMqedy/xF1GVfoyYEF/m8LHLYqU9nUkcsdToomaCJ6YoymO3JFAFdJ5DH8mBDcWqCkz1u7g118fmK3qNYR3a8SnSFjVUlq3J6TqusCEdjMKfHHM5Zs87Cpbv49xc/z5dWfplVpbl9Tcr0MnU++ZQZa7bdzuxBRqYaUmn+vbm1uybsz9pDNKdNPlFWjG0U2eILJWVJft0Z5tGuGJCZQ/j3aIL/nV1BTfY1e3WNtR4Xa3ENdShFmVBPdcVYUeC5qyd7nNzYFuTjZcV4slM1/tLwMEuaYix/5/k5mUfXk1VWlKkqkTbBPnHB7MmVJ1PuKueG16/nrJqzuGLRlbh09X6g9KcuvypTWn0q3R3QHfNguIujU6SiRJNh8Fg2oDsmZFnUDzCPTlEmi7SUPNkV54Q+OSMnWkDXWeKw81gk8zf0UutLPLzlThw2B3Z/3xJhOWDTsUq96EcmvpRXnb+OTy37FAciB/jEcx/n6aanseTUnnKi5J4K6pQpbaDROLsQ6FOkiJbOwMPlU2GUUZm5/i8ap8qmT0h5sOGc7HFxf7iLrR3b+P62m7hCnoWsKc3b+axZAfT61rwdfyhF9iLes+A9XDbvMu498Ec+8fwneOzIYyTMkZVOU6Y/FdQpU9oih71f4tMPlvgnpMB4Lsyy23hfn6LjC+w2Fk6hOYHKzCKl5A/BCG/xTo7Lf4sddmJmkm/tuof3LHgPVQcNzFmBvJ3PnBVA39WUt+OPxELfQj625GNcMPutPH7kb3zw2av48fYfsaV9C4alRvlnMvXJoUxp1XYb11eX81I8QUPKYL3HxUqXAzFFRrp0Ibi8uIjFTjsvx5IsdNo50e2kQgV1yiT1XCxBzLImTZm6ze2biXfup7TqvSz2G9i3vULqpMV5O585rwzXw1uI5+0MIyOEYLF/MYv9iwmmgrze8Tq/3HUrLYkWlpcsZ3XpGo4PHM9C38Ix1bpVpqaC/E8LIUqBu4H5wAHgPVLKfuvEhRAB4JfACkACH5ZS/mPCGqpMCXMd9imdiLdY1znN6+E0r6fQTVGUIcUti5+0B7nM70Ur8BenhJHg4UMPUx/Zz6WzzmWTWcS+zjZObGjHfM/GvJ3XmlWCCMYQrWFkhX/4J0yAgCPA6dWnc3r16XSlu9gX2cf2zm08cngT7Yl25vvmsyxwPCsCK1gWWIbfMTnareReocL3rwBPSCm/K4T4Svb+lwfY70fAX6WU7xJCOAD1qacoilIAUkq+3xZknt3G0gKO0pmWyeb2zTze+DfmeOdwSe2lODQ7pxgJ6h+tZ+XiKshnmUBNYCyrwfnMThLv2pC/84xRkb2I1aWru8uiJcwEh6OHOdjVwD3199AQPUilq5JVpatZU7qG5SXLKbIXFbjVSq4UKqi7FDgze/t24Gn6BHVCCD9wOvBBACllCkhNVAMVRVGUjJSU/LgtyO5kik+UFk/4+S1p0Rg7wrbO7bzavpliR4CzZ51Npauye58lRoy6v/ydZy7YyDoJ9jwOJKY3LsL92+dInr8S6c9NtYp8cemu7su0AKY0ORI9wv5IPffU383BrQep8dSwomQFx5csZ7F/MVWuqikzhUXprVBBXZWUsglAStkkhKgcYJ+FQCvwayHEauAV4GopZXQC26koijIjHUql2RSJsieV5uV4kjJd41+Ki2gxTTBzd56UmWJXaBdpK40pDdJWmqSVJG7EiaTCBFMhDJmZ/F/hqmRR2Wn47T46JXTGwwDMfeUAp//scSKVftp1nQf2JakQCcpJMFdEyUdVPVHhIvDBWzj6ruW0vu040KfOukNd6NT5F1PnX4whDQ5HD7M/Us+zzc8SSocAEAgqXZWUuyoIOAP4bEV4bB6cuhO75sCu2Qg4Sjit6jR0bWosTJsJhOxTlihnBxbicaB6gIe+DtwupQz02LdTStkrJbgQYh3wAnCqlPKfQogfAWEp5bWDnO9jwMeyd48DdmVvlwNt43kt05D6nfRWDuyUUl6QrxMM0T/zabL9P0+m9kymtsDw7WnLZ/+E/n104deuDc/9yMe6a2zF9u8bdm2ANE2b0PVRLb/UXZruLrMNeT3XMpFYg39WferXT4qTX63n0KwSLCFAe3OOrYgekcgcRqHHjgvMDToFwKffdSAe8uT+HH1JS9qEJvK+vNXmsemuMteIrrE/9eGnt0YPR1NMQB9Vhpe3oG7IkwqxCzgzO0o3C3haSnlcn32qgReklPOz908DviKlvHiU53pZSrkuR02fFtTvpLfp+vuYbK9rMrVnMrUFJl97xmqqvQ7VXmW6KdR48UPAVdnbVwEP9t1BStkMHBJCHAv2zgHemJjmKYqiKIqiTC2FCuq+C5wnhNgDnJe9jxCiRgixqcd+nwF+L4R4HVgD/PdEN1RRFEVRFGUqKMhCCSllO5mRt77bG4GLetzfAox3qPmWcT5/OlK/k96m6+9jsr2uydSeydQWmHztGaup9jpUe5VppSBz6hRFURRFUZTcmjprsBVFURRFUZRBzYigTgjxbiHEdiGElU2VMiMJIS4QQuwSQuzNVvKY0YQQvxJCtAghthW6LbkghCgVQvxNCLEn+2/JIPsdEEJsFUJsEUK8nOM2DNnHRMaPs4+/LoRYm8vzj6E9ZwohQtnfxRYhxDfz2JYh+9tE/25yYTL0uRG2c1L1y+FMpn6rTDFSymn/AywjkxvsaWBdodtToN+BDuwjk9TZAbwGHF/odhX4d3I6sBbYVui25Oj13EAm7Q9kSu9dP8h+B4DyPJx/2D5GZs7sI2TSfJ0E/DOPv4+RtOdM4OHJ0N8m8nczXfpcDvvBpPndT7Z+q36m1s+MGKmTUu6QUk5EstfJbAOwV0q5X2ZKrt1FplzbjCWlfBboKHQ7cuhSMmX3yP572QSffyR97FLgDpnxAhDI5qosVHsmzAj620T+bnKl0H1uJCZbvxzOpOq3ytQyI4I6BYDZwKEe9w9ntynTR6/ye8BA5fcAJPCYEOKVbBWBXBlJH5vIfjjSc50shHhNCPGIEGJ5ntoyElPxb7TQfW4kJlu/HM5U67fKJFKo2q85N1RZMillv+TGM9BA1Q/V0ucpZpjyeyN1qpSyUWRqLv9NCLEzO4o07uYNsK1vH5vIfjiSc20G5kkpu4QQFwF/Aury1J7hTMq/0Une50ZisvXL4Uy1fqtMItMmqJNSnlvoNkxyh4G5Pe7PARoL1BZljIbq50KIo0KIWfLN8nstgxyjMftvixDiATKXe3LxATuSPjaR/XDYc0kpwz1ubxJC/FwIUS6lLERd2En5NzrJ+9xITLZ+OZyp1m+VSURdfp05XgLqhBALhBAO4L1kyrUp08ew5feEEF4hhO/YbeB8IFerf0fSxx4CPpBdbXgSEDp2+S4Phm2PEKJaCCGytzeQeU9sz1N7hjORv5tcKXSfG4nJ1i+HM9X6rTKJTJuRuqEIId4B/ASoAP4ihNgipXxrgZs1oaSUhhDi08CjZFZX/UpKub3AzSooIcQfyKwiKxdCHAb+Q0p5W2FbNS7fBe4RQnwEaADeDZnye8AvpZQXAVXAA9nPAxtwp5Tyr7k4+WB9TAjx8ezjNwObyKw03AvEgA/l4tzjaM+7gE8IIQwgDrxXSpmXy24D9TfA3qMtE/a7yaGC9rmRmGz9MkftnbB+q0wtqqKEoiiKoijKNKAuvyqKoiiKokwDKqhTFEVRFEWZBlRQpyiKoiiKMg2ooE5RFEVRFGUaUEGdoiiKoijKNKCCuilOCCGFEDf1uP8FIcS3sre/JYQ4IoTYIoTYI4S4XwhxfPax3wgh/l+fY10mhNiUvd01gS9DmYbG0TcvFUL8qcfzviqE2Nvj/tuFEA9lbx8QQpRP1GtSpp+x9tPs408LIXZlH98hepRAU31TKQQV1E19SeDyId48fiClXCOlrAPuBp4UQlQAfyCT1LKn92a3K0oujLVvPg+c3GO/k4GwyJSYAjgFeC5fjVZmnLH202OukFKuAU4Frs8mDFaUglBB3dRnALcAnxtuRynl3cBjwPuAx4GlIlPaByGEBziXTA1BRcmFMfVNKWUrEBJCLM4+PBu4j0wwR/bf53PfXGWGGut7aF9FQBQwc9o6RRkFFdRNDz8DrhBCFI9g383AUimlCdwPvCe7/RLgKSllJE9tVGamUffN7O3ngVOEEMcBe4AXsvdtwCoypZQUJVfG2k8Bfi+EeB3YBVyXfW9VlIJQQd00kC3ufAfw2RHsLnrc7nkJVl16VXJuHH3zOTIjcqcA/wBeBDYCJwC7pJSJHDdVmcHG0U8hc/l1FVALfEEIMS/X7VOUkVJB3fTxQ+AjgHeY/U4AdmRvPwfMEkKsJvPhuSlvrVNmsh8y+r75PD2CuuwIsotM7VQ1n07Jhx8y+n7aLTttYDOZLx+KUhAqqJsmpJQdwD1k3pQGJIR4J3A+2RG5bAHoe4DbgU1q9EPJh7H0TeANoAY4DXg1u20L8HHUfDolD8bYT3s+5iET8O3LVxsVZTgqqJtebgL6ruD63LHl+MCVwNnZb5TH/AFYDdw1QW1UZqZR9c3sF45/Am1SynR2/38AC1FBnZI/Y3kP/b0QYgvwCvAbKeUrE9NURelPZN47FUVRFEVRlKlMjdQpiqIoiqJMAyqoUxRFURRFmQZUUKcoiqIoijINqKBOURRFURRlGlBBnaIoiqIoyjSggjpFURRFUZRpQAV1iqIoiqIo04AK6hRFURRFUaaB/w/Lh/zzqPNShAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (15,15))\n", "g = sns.PairGrid(df[['NDVI', 'NDWI', 'NDBI','class']],hue = \"class\",palette = sns.color_palette(colors))\n", "g.map_lower(sns.scatterplot)\n", "g.map_upper(sns.kdeplot,fill = True,alpha = .5)\n", "g.map_diag(sns.kdeplot,fill = True)\n", "g.add_legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Splendid!" ] } ], "metadata": { "interpreter": { "hash": "ec6a25acaecf7f06cb08206f3f56e96ccaf6fbab432a979bcf67c9e0ca577c87" }, "kernelspec": { "display_name": "Python 3.9.7 64-bit ('spyndex': conda)", "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": "3.9.7" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }